From 862b49f9dc8d372750065592905e701876a08165 Mon Sep 17 00:00:00 2001
From: Gage Clawson <clawsonsa1101@gmail.com>
Date: Fri, 13 Oct 2023 15:01:02 -0700
Subject: [PATCH] updated website to incorporate new scores and edited all goal
 score pages with new info

---
 content/global-scores/_index.md               |   2 +-
 content/global-scores/data-download.md        |   6 +-
 content/global-scores/goal-scores/_index.md   |   2 +-
 .../artisanal-fishing-opportunities.md        |   2 +-
 .../goal-scores/biodiversity/habitats.md      |   2 +-
 .../goal-scores/biodiversity/species.md       |   4 +-
 .../goal-scores/coastal-protection.md         |   2 +-
 .../goal-scores/food-provision/mariculture.md |   2 +-
 .../food-provision/wild-caught-fisheries.md   |   2 +-
 .../livelihoods-and-economies/_index.md       |   3 +-
 .../goal-scores/natural-products.md           |   6 +-
 .../sense-of-place/iconic-species.md          |   4 +-
 .../sense-of-place/lasting-special-places.md  |   2 +-
 .../goal-scores/tourism-and-recreation.md     |   4 +-
 content/images/htmls/Supplement.html          | 185 ++++++-------
 content/images/htmls/Supplement_Results.html  | 257 +++++++++---------
 content/news/2023-scores.md                   |   2 +-
 17 files changed, 227 insertions(+), 260 deletions(-)

diff --git a/content/global-scores/_index.md b/content/global-scores/_index.md
index 43350ab23..0613dfa50 100644
--- a/content/global-scores/_index.md
+++ b/content/global-scores/_index.md
@@ -10,7 +10,7 @@ menu:
 ---
 The global Ocean Health Index measures the state of the world’s oceans. 
 
-The global OHI score for the 2023 assessment was 67. This interactive map shows  how different countries and goals contributed to this score, as well as how the score has changed since 2012. Click on colored regions (i.e. EEZs) to see short country summaries.
+The global OHI score for the 2023 assessment was 73. This interactive map shows  how different countries and goals contributed to this score, as well as how the score has changed since 2012. Click on colored regions (i.e. EEZs) to see short country summaries.
 
 {{< scoresGlobe >}}
 
diff --git a/content/global-scores/data-download.md b/content/global-scores/data-download.md
index 0e9c95e8d..090bf1afb 100644
--- a/content/global-scores/data-download.md
+++ b/content/global-scores/data-download.md
@@ -8,13 +8,13 @@ menu:
     weight: 3
 ---
 
-### 12 YEARS OF SCORES! 
+### 2023 OHI Assessment
 
 The OHI 2023 global assessment includes scores from 2012 to 2023 for 220 coastal countries and territories.  
 
-This marks our 12th year of calculating the global Ocean Health Index. The average 2022 Index score was 67 out of 100. Average Index scores have not dramatically changed over eleven years, which could be expected at a global scale. However, some individual goals and regions have had significant changes. You can now download 12 years of data which makes the OHI a very useful resource for exploring changes in the sustainable use of ocean resources over time.
+This marks our 12th year of calculating the global Ocean Health Index. The average 2023 Index score was 73 out of 100. Average Index scores have not dramatically changed over twelve years, which could be expected at a global scale. However, some individual goals and regions have had significant changes. You can now download 12 years of data which makes the OHI a very useful resource for exploring changes in the sustainable use of ocean resources over time.
 
-![Flowerplot](/images/flower_GlobalAverage_2023.png)
+![Flowerplot](/images/flower_GlobalAverage2023.png)
 
 {{<button text="Download Scores" link=data/scores.csv icon="images/misc/download-icon.svg">}}
 {{<button text="Supplemental Results" link=images/htmls/Supplement_Results.html icon="images/flower_plot.png">}}
diff --git a/content/global-scores/goal-scores/_index.md b/content/global-scores/goal-scores/_index.md
index 27b65d647..ed775f609 100644
--- a/content/global-scores/goal-scores/_index.md
+++ b/content/global-scores/goal-scores/_index.md
@@ -12,7 +12,7 @@ menu:
 
 <!--## Ocean benefits delivered to humans now and in the future.-->
 
-The overall global score was 69, but a closer look at the underlying goals reveals a great deal of variation in how well we are managing the sustainable delivery of different ocean benefits. 
+The overall global score was 73, but a closer look at the underlying goals reveals a great deal of variation in how well we are managing the sustainable delivery of different ocean benefits. 
 
 Select a goal below to see the scores that make up the global index and to learn how they have changed during the 10 years we have been conducting OHI assessments.
 
diff --git a/content/global-scores/goal-scores/artisanal-fishing-opportunities.md b/content/global-scores/goal-scores/artisanal-fishing-opportunities.md
index c0490d289..7d8a1e1f7 100644
--- a/content/global-scores/goal-scores/artisanal-fishing-opportunities.md
+++ b/content/global-scores/goal-scores/artisanal-fishing-opportunities.md
@@ -15,7 +15,7 @@ This goal measures whether people who need to fish on a small, local scale have
 
 The current score indicates that many regions are addressing and meeting the needs that people and communities have to fish artisanally by implementing government policies that permit or encourage them to do so and providing appropriate access to near-shore areas.
 
-Artisanal Opportunities has a relatively good global score, which was pretty stagnant until this year. This year the score jumped by over 2 points. Certain regions have improved their score in 2022 through a higher score on access to artisanal fishing opportunity through law and regulation as reported by the UN sustainable development goal 14.b.1 which measure the progress by countries in the degree of application of a legal, regulatory, policy, or institutional framework which recognizes and protects access rights for small-scale fisheries.
+Artisanal Opportunities has a relatively good global score, which was pretty stagnant until 2021, when it jumped up by 2 points, further increasing by one more point this year. Certain regions improved their score in 2022 through a higher score on access to artisanal fishing opportunity through law and regulation as reported by the UN sustainable development goal 14.b.1 which measure the progress by countries in the degree of application of a legal, regulatory, policy, or institutional framework which recognizes and protects access rights for small-scale fisheries.
 
 Another factor that may have contributed to the latest increase in Artisanal Opportunities scores was a decrease in need, indicated by an increase in per capita GDP (standardized by purchasing power), in 2021 due to the beginning of the rebound from the global economic slowdown caused by the COVID-19 pandemic in 2020. 
 
diff --git a/content/global-scores/goal-scores/biodiversity/habitats.md b/content/global-scores/goal-scores/biodiversity/habitats.md
index ed5137150..e398fb0d6 100644
--- a/content/global-scores/goal-scores/biodiversity/habitats.md
+++ b/content/global-scores/goal-scores/biodiversity/habitats.md
@@ -21,7 +21,7 @@ The main reason for this discrepancy is the Ocean Health Index uses a more recen
 
 All of the goals that require habitat data, such as this one, are difficult to assess because much of the data are of poor quality, lack historical information, and are not tracked over time (aside from mangroves and sea ice). Despite these limitations, we are still able to to identify changes in some regions.
 
-For example, we observe declining habitat scores in Iceland (47), Jan Mayn (56), and Greenland (55) due to the steady loss of sea ice habitat. 
+For example, we observe poor habitat scores in Iceland (50), Jan Mayen (56), and Greenland (55) due to the steady loss of sea ice habitat. 
 
 
 [Learn more about this goal]({{< ref "goals/biodiversity/habitats.md" >}})
\ No newline at end of file
diff --git a/content/global-scores/goal-scores/biodiversity/species.md b/content/global-scores/goal-scores/biodiversity/species.md
index 86113096b..067e9123e 100644
--- a/content/global-scores/goal-scores/biodiversity/species.md
+++ b/content/global-scores/goal-scores/biodiversity/species.md
@@ -18,11 +18,11 @@ A high score indicates that most native marine species in a country are not iden
 
 The current score indicates a potential risk of losing a significant proportion of marine species diversity across the globe. The IUCN Red List of Threatened Species estimates that [35% of all assessed species](https://www.iucnredlist.org/search/stats) are threatened with extinction, including 37% of species of sharks and rays.
 
-Trends in the Species subgoal are concerning. The global score has, on average, dropped nearly a quarter of a point every year since 2012. This decline lines up with results from the [Red List Index](https://www.iucnredlist.org/assessment/red-list-index), which shows a clear decreasing trend across all major species groups. In fact, for the 2022 OHI assessment, only 14 regions out of 220 show an increasing trend for this subgoal. 
+Trends in the Species subgoal are concerning. The global score has, on average, dropped nearly one-fifth of a point every year since 2012. This decline lines up with results from the [Red List Index](https://www.iucnredlist.org/assessment/red-list-index), which shows a clear decreasing trend across all major species groups. In fact, for the 2023 OHI assessment, only 14 regions out of 220 show an increasing trend for this subgoal. 
 
 The region with the most negative trend is Monaco in Western Europe. This region is the second smallest and most densely populated region in the world, resulting in an extremely urban landscape with little room for flora and fauna to thrive ([Convention on Biological Diversity (CBD)](https://www.cbd.int/countries/profile/?country=mc)). Furthermore, this region has fallen victim to extreme marine pollution and several invasive species ([CBD](https://www.cbd.int/countries/profile/?country=mc)). The famous annual car race held here, the Monaco Grand Prix, likely contributes to this pollution as it attracts heavy marine vessel traffic in the harbor. Since 2010, this region began taking steps towards improving their marine biodiversity by establishing the Monaco Blue Initiative, a platform to discuss ocean management and socioeconomic development ([Monaco Blue Initiative](https://www.monacoblueinitiative.org/en/the-monaco-blue-initiative/)). Hopefully this annual initiative will improve infrastructure and Monaco Species goal scores will improve in future OHI assessments.
 
-Libya has also seen one of the largest decline in species score, dropping by 8 percentage points. This is a concerning trend, especially considering that Libya has the third worst Species subgoal score for 2022. Over the past 11 years, only 5% of the species assessed in Libya have increasing population trends, while 25% are decreasing, according to the IUCN Red List. However, there still remain many data gaps with nearly 50% with unknown population trends. 
+Libya has also seen one of the largest decline in species score, dropping by 8 percentage points. This is a concerning trend, especially considering that Libya has the third worst Species subgoal score for 2023. Over the past 11 years, only 5% of the species assessed in Libya have increasing population trends, while 25% are decreasing, according to the IUCN Red List. However, there still remain many data gaps with nearly 50% with unknown population trends. 
 
 The region with the most positive trend is Bouvet Island, a Norwegian territory. Bouvet Island and its surrounding waters were protected in 1971, establishing the region as the world’s most remote nature preserve ([Norwegian Polar Institute](https://www.npolar.no/en/regulations-bouvetoya-nature-reserve/)). Being an uninhabited island with an extremely icy climate certainly contributes to Bouvet Island’s impressive trend in the Species subgoal because there is a substantial reduction in tourism and invasive species transport ([Britannica](https://www.britannica.com/place/Bouvet-Island)). 
 
diff --git a/content/global-scores/goal-scores/coastal-protection.md b/content/global-scores/goal-scores/coastal-protection.md
index e2a18dcea..8834658fc 100644
--- a/content/global-scores/goal-scores/coastal-protection.md
+++ b/content/global-scores/goal-scores/coastal-protection.md
@@ -16,7 +16,7 @@ The current score indicates that although, in many places, these habitats (mangr
 
 Since 2012, we have seen a modest decline in coastal protection scores globally. Like the carbon storage goal and habitat subgoal the data quality for many of our habitats is poor. However, a negative trend can be elucidated in the coastal protection goal due to the declining status of coastal sea ice, which has data derived from satellite imagery.
 
-For the 2022 OHI assessment, Norway saw a large improvement in coastal protection with a score increase of 8 percentage points. Not far behind, Russia improved by 4 percentage points. 
+For the 2023 OHI assessment, Norway saw a large decrease in coastal protection with a score decrease of ~8 percentage points, likely due to declining sea ice. However, in Russia, we see a 2 point improvement. 
 
 
 
diff --git a/content/global-scores/goal-scores/food-provision/mariculture.md b/content/global-scores/goal-scores/food-provision/mariculture.md
index cc3afab2f..721db8ade 100644
--- a/content/global-scores/goal-scores/food-provision/mariculture.md
+++ b/content/global-scores/goal-scores/food-provision/mariculture.md
@@ -18,7 +18,7 @@ The current score indicates that most regions are not sustainably producing as m
 Even though mariculture has been one of the fastest growing food sectors in the world over the past 20 years ([FAO 2020](https://www.fao.org/3/ca9229en/online/ca9229en.html)) global mariculture scores have only seen a slight increase since 2012. This is largely because many countries could sustainably produce much more aquaculture. Several countries are not producing aquaculture in a sustainable manner.
 
 
-Chile and Norway are two of the world's largest mariculture producers, however they both receive low Mariculture scores (a score of 17 for Chile, a score of 49 for Norway). Why is this the case? Both are large producers of salmon, which has a terrible sustainability score (~0.45) due to excess nutrient run-off from antibiotics and pesticides associated with marine net pen farming. The discrepancy between these two regions, despite having similar production, is due to production potential ([Gentry et al. 2017](https://www.nature.com/articles/s41559-017-0257-9)). Norway has a much lower production potential than Chile, because Chile has a massive coastline with many bays and inlets perfect for mariculture farming. Norway exceeds its potential mariculture demand, while Chile does not, hence the higher score. For Norway to increase its score it will need to adopt more sustainable practices for its salmon production. Chile, however, should both increase production, and adopt more sustainable farming practices to increase their score.
+Chile and Norway are two of the world's largest mariculture producers, however they both receive low Mariculture scores (a score of 18 for Chile, a score of 49 for Norway). Why is this the case? Both are large producers of salmon, which has a terrible sustainability score (~0.45) due to excess nutrient run-off from antibiotics and pesticides associated with marine net pen farming. The discrepancy between these two regions, despite having similar production, is due to production potential ([Gentry et al. 2017](https://www.nature.com/articles/s41559-017-0257-9)). Norway has a much lower production potential than Chile, because Chile has a massive coastline with many bays and inlets perfect for mariculture farming. Norway exceeds its potential mariculture demand, while Chile does not, hence the higher score. For Norway to increase its score it will need to adopt more sustainable practices for its salmon production. Chile, however, should both increase production, and adopt more sustainable farming practices to increase their score.
 
 ----
 
diff --git a/content/global-scores/goal-scores/food-provision/wild-caught-fisheries.md b/content/global-scores/goal-scores/food-provision/wild-caught-fisheries.md
index e997b74b6..40b6b4cf9 100644
--- a/content/global-scores/goal-scores/food-provision/wild-caught-fisheries.md
+++ b/content/global-scores/goal-scores/food-provision/wild-caught-fisheries.md
@@ -18,7 +18,7 @@ The current score indicates that most regions are significantly below their sust
 The global score has, on average, dropped nearly one fifthteenth of a point every year since 2012. This modest decline is due mainly to the decreasing sustainability of some fisheries, which means many stocks are being overfished. In fact, the [Global Fishing Index](https://www.minderoo.org/global-fishing-index/results/key-findings/) found that nearly half of assessed fish in 2018 were overfished. However, many stocks are not assessed which means we don't know how many stocks are doing.
 
 
-Over the past 10 years, there has been a slight decrease (~1%) in fish catch (2009/2010 vs. 2018/2019). However, the differences in catch are drastically different across regions, ranging from 200% more to 1% less, which can produce many different outcomes for fish stocks depending on the status of the stock (underfished, fully exploited, overfished). 119 of the 220 regions included in OHI have a fisheries score less than 50. Small island nations tend to have high scores, and Nauru is the highest scoring region for the fisheries subgoal in 2022.
+Over the past 10 years, there has been a slight decrease (~1%) in fish catch (2009/2010 vs. 2018/2019). However, the differences in catch are drastically different across regions, ranging from 200% more to 1% less, which can produce many different outcomes for fish stocks depending on the status of the stock (underfished, fully exploited, overfished). 119 of the 220 regions included in OHI have a fisheries score less than 50. Small island nations tend to have high scores, and Nauru is the highest scoring region (a score of 97) for the fisheries subgoal in 2023.
 
 The United States has seen a modest decrease in the fisheries score since 2015. This is because we are catching less sustainably harvested stocks while catching about the same amount of overfished stocks. Interestingly, a large proportion of catch in the United States comes from the Alaska Pollock (~26%), which is considered an underfished stock. However, OHI does not currently penalize regions for harvesting underfished stocks, so this does not harm the fisheries score for the United States.
 
diff --git a/content/global-scores/goal-scores/livelihoods-and-economies/_index.md b/content/global-scores/goal-scores/livelihoods-and-economies/_index.md
index f7df65cef..9bfc4a0f5 100644
--- a/content/global-scores/goal-scores/livelihoods-and-economies/_index.md
+++ b/content/global-scores/goal-scores/livelihoods-and-economies/_index.md
@@ -15,8 +15,7 @@ This goal measures jobs and revenue from sustainable marine-related industries.
 
 Sadly, the Livelihoods and Economies goal has not been meaningfully updated since the origin of the global Ocean Health Index in 2012. The datasets we used for this model were discontinued, and we have been unable to find good replacements.
 
-Please let us know if you have any good leads on data we could use to calculate this goal!
-
+We are working on updating this goal with current day data!
 
 ----
 
diff --git a/content/global-scores/goal-scores/natural-products.md b/content/global-scores/goal-scores/natural-products.md
index 22d850fc2..4da8e0a52 100644
--- a/content/global-scores/goal-scores/natural-products.md
+++ b/content/global-scores/goal-scores/natural-products.md
@@ -15,9 +15,11 @@ This goal assesses how well countries are maximizing the sustainable harvest of
 
 The current score indicates that many regions have potential to improve sustainable harvests of natural products, either by eliminating overharvesting, increasing harvests that are too low, or reducing the pressures that decrease potential harvests.
 
-Despite the relatively good global score, trends in Natural Products are decreasing. The global score has, on average, dropped one fifth of a point every year since 2012. This decline is likely due to the decreasing sustainability of forage fisheries, which largely drive the Natural Products scores due to the large amount of harvest compared to seaweeds and ornamental fish in many regions.
+Despite the relatively good global score, trends in Natural Products are decreasing. This decline is likely due to the decreasing sustainability of forage fisheries, which largely drive the Natural Products scores due to the large amount of harvest compared to seaweeds and ornamental fish in many regions.
 
-However, there are regions which aren't driven by forage fisheries and have increased their Natural Products score. For instance, both China and Indonesia lead the world in seaweed mariculture production (accounting for ~87% of seaweed production included in our assessment for 2020), increasing their production each year. Seaweed mariculture is also generally sustainable. Because of this both regions scores have improved greatly since 2012. Djibouti, for example, has seen a [marked increase](https://www.fao.org/3/cb9691en/cb9691en.pdf) in fish exports, particularly ornamental fish, in the late 2010s. This led to their natural products score increasing to a perfect score in 2022.
+However, there are regions which aren't driven by forage fisheries and have increased their Natural Products score. For instance, both China and Indonesia lead the world in seaweed mariculture production (accounting for ~87% of seaweed production included in our assessment for 2020), increasing their production each year. Seaweed mariculture is also generally sustainable. Because of this both regions scores have improved greatly since 2012.
+
+Within recent years we have seen a higher level of volatility in global scores as the lowest and highest goal scores have been recorded in the last three years. We believe this was due to the COVID-19 pandemic’s impact on the industry and trade of natural products. Since the COVID shock the global score has rebounded and is now at its highest level on record.
 
 
 [Learn more about this goal]({{< ref "goals/natural-products.md" >}})
\ No newline at end of file
diff --git a/content/global-scores/goal-scores/sense-of-place/iconic-species.md b/content/global-scores/goal-scores/sense-of-place/iconic-species.md
index 452b500f9..634241157 100644
--- a/content/global-scores/goal-scores/sense-of-place/iconic-species.md
+++ b/content/global-scores/goal-scores/sense-of-place/iconic-species.md
@@ -17,14 +17,14 @@ A high score indicates that few to none of the iconic species in a country’s E
 
 The current score indicates that iconic marine species could be better protected in many places. Substantial conservation efforts will be required in order to improve the status of many iconic species that call the ocean home.
 
-Trends in Iconic Species are concerning. The global score has, on average, dropped nearly half of a point every year since 2012, with the largest decrease happening from 2018 to 2019. This indicates that more species are listed as endangered each year. However, this decline can be partially attributed to improving IUCN Red List data across assessments. Since 2018, nearly 51,000 more species have been added to the IUCN Red List assessment ([IUCN Red List](https://www.iucnredlist.org/about/barometer-of-life)). 
+Trends in Iconic Species are concerning. The global score has, on average, dropped nearly half of a point every year since 2012, with a decrase of 4 points from 2018 to 2020. This indicates that more species are listed as endangered each year. However, this decline can be partially attributed to improving IUCN Red List data across assessments. Since 2018, nearly 51,000 more species have been added to the IUCN Red List assessment ([IUCN Red List](https://www.iucnredlist.org/about/barometer-of-life)). 
 
 For example, in the 2020 assessment, Qatar's iconic species score dropped 8 percentage points (63 to 55). This is because 5 iconic species (Green Turtle, Whitetip Reef Shark, Blacktip Reef Shark, Gray Reef Shark, and the Great White Shark), all of which were classified as vulnerable or endangered, were newly assessed that year.
 
 Over many OHI assessments, we have observed alarmingly low iconic species scores for Southeast Asian regions such as Thailand, Myanmar, and Cambodia. Dugongs, dolphins, and porpoises have experienced major declines in Southeast Asia over recent years, and some regions capture them for ecotourism purposes ([Report of the third Southwest Asian marine mammal symposium (SEAMAM III)](https://www.cms.int/sites/default/files/publication/SEAMAM_smallfilesize.pdf)). These regions’ low scores can partially be attributed to cultural traditions such as “subsistence hunting” of marine species en masse, which is prominent due to laws that generally lack detail or enforcement ([Marine Wildlife Protection Legislation in ASEAN](https://www.traffic.org/site/assets/files/11344/marine-wildlife-protection-legislation-in-asean.pdf), [SEAMAM III](https://www.cms.int/sites/default/files/publication/SEAMAM_smallfilesize.pdf)). In Thailand, especially, prominent issues include deliberately hunting iconic species, overfishing by both small-scale and commercial fisheries, marine debris, pollution, and bycatch ([SEAMAM III](https://www.cms.int/sites/default/files/publication/SEAMAM_smallfilesize.pdf)). Moving forward, OHI assessments will hopefully reflect improvements in ICO as these regions find the balance between cultural practices and the needs of the local charismatic marine species.
 
 
-On the positive side, the regions surrounding the Baltic Sea in Northern Europe have generally had relatively high iconic species scores. These top regions include Finland, Latvia, Lithuania, Poland, Estonia, Sweden, Denmark, and Germany. 
+On the positive side, the regions surrounding the Baltic Sea in Northern Europe have generally had relatively high iconic species scores. These top regions include Finland, Latvia, Lithuania, Poland, Estonia, Sweden, Denmark, Germany, Bulgaria, Romania, and Ukraine. 
 
 These regions’ high scores may be partially attributed to the fact that there are few iconic species and individuals to protect within the Baltic Sea. 
 
diff --git a/content/global-scores/goal-scores/sense-of-place/lasting-special-places.md b/content/global-scores/goal-scores/sense-of-place/lasting-special-places.md
index 82b3e2a09..87ef69e7a 100644
--- a/content/global-scores/goal-scores/sense-of-place/lasting-special-places.md
+++ b/content/global-scores/goal-scores/sense-of-place/lasting-special-places.md
@@ -14,7 +14,7 @@ The Lasting Special Places sub-goal measures how well we are protecting the loca
 
 The [global movement](https://worldoceanday.org/take-action/social-media-toolkit/?gclid=Cj0KCQjwt-6LBhDlARIsAIPRQcK8Aw3Gk9-0D6TyFjVJAlnMRJtcVlgLDwl5Q0BYSGuyYzlPp8q28awaAu-FEALw_wcB) to protect at least 30% of our blue planet by 2030 motivates the reference point for this goal. A score of 100 would mean that all countries are protecting at least 30% of their coastal area. 
 
-The Ocean Health Index focuses on the protection of coastal areas located 3 nm offshore and 1 km inland because this is the part of the ocean most people interact with and directly value. This differs from most agencies which measure protected areas throughout the ocean or within exclusive economic zones (EEZ, i.e., 200 nm offshore). As of 2021, nearly 27% of land located within 1km of the coastline is designated as a protected area, and nearly 22% of ocean located within 3nm of the coast is protected. If we look at EEZ areas, just over 7.7% of the EEZ area is protected.
+The Ocean Health Index focuses on the protection of coastal areas located 3 nm offshore and 1 km inland because this is the part of the ocean most people interact with and directly value. This differs from most agencies which measure protected areas throughout the ocean or within exclusive economic zones (EEZ, i.e., 200 nm offshore). As of 2022, nearly 27% of land located within 1km of the coastline is designated as a protected area, and nearly 22% of ocean located within 3nm of the coast is protected. If we look at EEZ areas, just over 7.8% of the EEZ area is protected.
 
 Currently, 72 of the 220 coastal countries and territories protect at least 30% of their coastal areas. This has been a substantial improvement since 2012, when we started the Index, when 46 coastal countries and territories had met this goal. This demonstrates the remarkable effectiveness of programs encouraging conservation.
 
diff --git a/content/global-scores/goal-scores/tourism-and-recreation.md b/content/global-scores/goal-scores/tourism-and-recreation.md
index 31baff51b..a6534d15a 100644
--- a/content/global-scores/goal-scores/tourism-and-recreation.md
+++ b/content/global-scores/goal-scores/tourism-and-recreation.md
@@ -16,9 +16,9 @@ This year's analysis provided insight into the pandemic’s impact on global tou
 
 This year, the data we used to for tourism sustainability was from the from the World Travel and Tourism Council (WTTC) and the World Economic Forum’s (WEF) new [Travel and Tourism Development Index (TTDI)](https://www.weforum.org/reports/travel-and-tourism-development-index-2021/). Sustainabiliy was based on three pillars: Environmental Sustainability, Socio-economic Resilience and Conditions, and Travel and Tourism Demand Pressure and Impact. Scores generally increased among assessment regions from 2019 to 2021.  
  
-The other component of this goal is the amount of direct employment in the tourism sector as reported by [WTTC](https://wttc.org/). Unsurprisingly, the pandemic resulted in a large decrease in tourism employment from 2019 to 2020. During this period, employment decreased in every single region for which data were available, but island nations were the hardest hit. The three largest decreases occurred in the Bahamas (-12.8), Aruba (-8.8), and Seychelles (-7.5), and the list goes on for a while before a non-island nation shows up. Fortunately employment rebounded, albeit less dramatic, the following year — presumably as a result of vaccine roll outs and general border re-openings. From 2020 to 2021, regions in the assessment saw a mean increase of 0.46 percentage points of direct employment in tourism. The top three largest increases in percentage points occurred in Aruba (+5.2), the Bahamas (+4.4), and Saint Lucia (+2.1). 
+The other component of this goal is the proportion of international tourist arrivals to all arrivals, derived from the [United Nations World Tourism Organization (UNWTO)](https://www.unwto.org/tourism-statistics/key-tourism-statistics). Unsurprisingly, the pandemic resulted in a large decrease in tourism arrivals from 2019 to 2020. During this period, tourism arrivals decreased in nearly every single region for which data were available, but island nations were the hardest hit. The three largest decreases over the entire OHI timespan (2012-2023) occurred in the Soloman Islands (-89), Thailand (-85), and Tonga (-85). Fortunately tourism rebounded, albeit less dramatic, the following year — presumably as a result of vaccine roll outs and general border re-openings.
 
-In general, the countries with the lowest scores have unsafe or unappealing conditions owing to poverty, political turmoil, war or other volatile conditions and their scores will likely be depressed until those fundamental conditions improve. Once these conditions are resolved, improvements to Tourism and Recreation can occur rapidly. In Sri Lanka, 2009 marked the end of a 25 year civil war, and since then the proportion of people employed in tourism has more than doubled.
+In general, the countries with the lowest scores have unsafe or unappealing conditions owing to poverty, political turmoil, war or other volatile conditions and their scores will likely be depressed until those fundamental conditions improve. Once these conditions are resolved, improvements to Tourism and Recreation can occur rapidly.
 
 
 [Learn more about this goal]({{< ref "goals/tourism-and-recreation.md" >}})
diff --git a/content/images/htmls/Supplement.html b/content/images/htmls/Supplement.html
index ccccc863e..5ccf9ee76 100644
--- a/content/images/htmls/Supplement.html
+++ b/content/images/htmls/Supplement.html
@@ -26,8 +26,11 @@
   }
 });
 </script>
-<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
-!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
+<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */
+!function(a,b){"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof window?window:this,function(a,b){var c=[],d=c.slice,e=c.concat,f=c.push,g=c.indexOf,h={},i=h.toString,j=h.hasOwnProperty,k={},l="1.11.3",m=function(a,b){return new m.fn.init(a,b)},n=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,o=/^-ms-/,p=/-([\da-z])/gi,q=function(a,b){return b.toUpperCase()};m.fn=m.prototype={jquery:l,constructor:m,selector:"",length:0,toArray:function(){return d.call(this)},get:function(a){return null!=a?0>a?this[a+this.length]:this[a]:d.call(this)},pushStack:function(a){var b=m.merge(this.constructor(),a);return b.prevObject=this,b.context=this.context,b},each:function(a,b){return m.each(this,a,b)},map:function(a){return this.pushStack(m.map(this,function(b,c){return a.call(b,c,b)}))},slice:function(){return this.pushStack(d.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},eq:function(a){var b=this.length,c=+a+(0>a?b:0);return this.pushStack(c>=0&&b>c?[this[c]]:[])},end:function(){return this.prevObject||this.constructor(null)},push:f,sort:c.sort,splice:c.splice},m.extend=m.fn.extend=function(){var a,b,c,d,e,f,g=arguments[0]||{},h=1,i=arguments.length,j=!1;for("boolean"==typeof g&&(j=g,g=arguments[h]||{},h++),"object"==typeof g||m.isFunction(g)||(g={}),h===i&&(g=this,h--);i>h;h++)if(null!=(e=arguments[h]))for(d in e)a=g[d],c=e[d],g!==c&&(j&&c&&(m.isPlainObject(c)||(b=m.isArray(c)))?(b?(b=!1,f=a&&m.isArray(a)?a:[]):f=a&&m.isPlainObject(a)?a:{},g[d]=m.extend(j,f,c)):void 0!==c&&(g[d]=c));return g},m.extend({expando:"jQuery"+(l+Math.random()).replace(/\D/g,""),isReady:!0,error:function(a){throw new Error(a)},noop:function(){},isFunction:function(a){return"function"===m.type(a)},isArray:Array.isArray||function(a){return"array"===m.type(a)},isWindow:function(a){return null!=a&&a==a.window},isNumeric:function(a){return!m.isArray(a)&&a-parseFloat(a)+1>=0},isEmptyObject:function(a){var b;for(b in a)return!1;return!0},isPlainObject:function(a){var b;if(!a||"object"!==m.type(a)||a.nodeType||m.isWindow(a))return!1;try{if(a.constructor&&!j.call(a,"constructor")&&!j.call(a.constructor.prototype,"isPrototypeOf"))return!1}catch(c){return!1}if(k.ownLast)for(b in a)return j.call(a,b);for(b in a);return void 0===b||j.call(a,b)},type:function(a){return null==a?a+"":"object"==typeof a||"function"==typeof a?h[i.call(a)]||"object":typeof a},globalEval:function(b){b&&m.trim(b)&&(a.execScript||function(b){a.eval.call(a,b)})(b)},camelCase:function(a){return a.replace(o,"ms-").replace(p,q)},nodeName:function(a,b){return a.nodeName&&a.nodeName.toLowerCase()===b.toLowerCase()},each:function(a,b,c){var d,e=0,f=a.length,g=r(a);if(c){if(g){for(;f>e;e++)if(d=b.apply(a[e],c),d===!1)break}else for(e in a)if(d=b.apply(a[e],c),d===!1)break}else if(g){for(;f>e;e++)if(d=b.call(a[e],e,a[e]),d===!1)break}else for(e in a)if(d=b.call(a[e],e,a[e]),d===!1)break;return a},trim:function(a){return null==a?"":(a+"").replace(n,"")},makeArray:function(a,b){var c=b||[];return null!=a&&(r(Object(a))?m.merge(c,"string"==typeof a?[a]:a):f.call(c,a)),c},inArray:function(a,b,c){var d;if(b){if(g)return g.call(b,a,c);for(d=b.length,c=c?0>c?Math.max(0,d+c):c:0;d>c;c++)if(c in b&&b[c]===a)return c}return-1},merge:function(a,b){var c=+b.length,d=0,e=a.length;while(c>d)a[e++]=b[d++];if(c!==c)while(void 0!==b[d])a[e++]=b[d++];return a.length=e,a},grep:function(a,b,c){for(var d,e=[],f=0,g=a.length,h=!c;g>f;f++)d=!b(a[f],f),d!==h&&e.push(a[f]);return e},map:function(a,b,c){var d,f=0,g=a.length,h=r(a),i=[];if(h)for(;g>f;f++)d=b(a[f],f,c),null!=d&&i.push(d);else for(f in a)d=b(a[f],f,c),null!=d&&i.push(d);return e.apply([],i)},guid:1,proxy:function(a,b){var c,e,f;return"string"==typeof b&&(f=a[b],b=a,a=f),m.isFunction(a)?(c=d.call(arguments,2),e=function(){return a.apply(b||this,c.concat(d.call(arguments)))},e.guid=a.guid=a.guid||m.guid++,e):void 0},now:function(){return+new Date},support:k}),m.each("Boolean Number String Function Array Date RegExp Object Error".split(" "),function(a,b){h["[object "+b+"]"]=b.toLowerCase()});function r(a){var b="length"in a&&a.length,c=m.type(a);return"function"===c||m.isWindow(a)?!1:1===a.nodeType&&b?!0:"array"===c||0===b||"number"==typeof b&&b>0&&b-1 in a}var s=function(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u="sizzle"+1*new Date,v=a.document,w=0,x=0,y=ha(),z=ha(),A=ha(),B=function(a,b){return a===b&&(l=!0),0},C=1<<31,D={}.hasOwnProperty,E=[],F=E.pop,G=E.push,H=E.push,I=E.slice,J=function(a,b){for(var c=0,d=a.length;d>c;c++)if(a[c]===b)return c;return-1},K="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",L="[\\x20\\t\\r\\n\\f]",M="(?:\\\\.|[\\w-]|[^\\x00-\\xa0])+",N=M.replace("w","w#"),O="\\["+L+"*("+M+")(?:"+L+"*([*^$|!~]?=)"+L+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+N+"))|)"+L+"*\\]",P=":("+M+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+O+")*)|.*)\\)|)",Q=new RegExp(L+"+","g"),R=new RegExp("^"+L+"+|((?:^|[^\\\\])(?:\\\\.)*)"+L+"+$","g"),S=new RegExp("^"+L+"*,"+L+"*"),T=new RegExp("^"+L+"*([>+~]|"+L+")"+L+"*"),U=new RegExp("="+L+"*([^\\]'\"]*?)"+L+"*\\]","g"),V=new RegExp(P),W=new RegExp("^"+N+"$"),X={ID:new RegExp("^#("+M+")"),CLASS:new RegExp("^\\.("+M+")"),TAG:new RegExp("^("+M.replace("w","w*")+")"),ATTR:new RegExp("^"+O),PSEUDO:new RegExp("^"+P),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+L+"*(even|odd|(([+-]|)(\\d*)n|)"+L+"*(?:([+-]|)"+L+"*(\\d+)|))"+L+"*\\)|)","i"),bool:new RegExp("^(?:"+K+")$","i"),needsContext:new RegExp("^"+L+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+L+"*((?:-\\d)?\\d*)"+L+"*\\)|)(?=[^-]|$)","i")},Y=/^(?:input|select|textarea|button)$/i,Z=/^h\d$/i,$=/^[^{]+\{\s*\[native \w/,_=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,aa=/[+~]/,ba=/'|\\/g,ca=new RegExp("\\\\([\\da-f]{1,6}"+L+"?|("+L+")|.)","ig"),da=function(a,b,c){var d="0x"+b-65536;return d!==d||c?b:0>d?String.fromCharCode(d+65536):String.fromCharCode(d>>10|55296,1023&d|56320)},ea=function(){m()};try{H.apply(E=I.call(v.childNodes),v.childNodes),E[v.childNodes.length].nodeType}catch(fa){H={apply:E.length?function(a,b){G.apply(a,I.call(b))}:function(a,b){var c=a.length,d=0;while(a[c++]=b[d++]);a.length=c-1}}}function ga(a,b,d,e){var f,h,j,k,l,o,r,s,w,x;if((b?b.ownerDocument||b:v)!==n&&m(b),b=b||n,d=d||[],k=b.nodeType,"string"!=typeof a||!a||1!==k&&9!==k&&11!==k)return d;if(!e&&p){if(11!==k&&(f=_.exec(a)))if(j=f[1]){if(9===k){if(h=b.getElementById(j),!h||!h.parentNode)return d;if(h.id===j)return d.push(h),d}else if(b.ownerDocument&&(h=b.ownerDocument.getElementById(j))&&t(b,h)&&h.id===j)return d.push(h),d}else{if(f[2])return H.apply(d,b.getElementsByTagName(a)),d;if((j=f[3])&&c.getElementsByClassName)return H.apply(d,b.getElementsByClassName(j)),d}if(c.qsa&&(!q||!q.test(a))){if(s=r=u,w=b,x=1!==k&&a,1===k&&"object"!==b.nodeName.toLowerCase()){o=g(a),(r=b.getAttribute("id"))?s=r.replace(ba,"\\$&"):b.setAttribute("id",s),s="[id='"+s+"'] ",l=o.length;while(l--)o[l]=s+ra(o[l]);w=aa.test(a)&&pa(b.parentNode)||b,x=o.join(",")}if(x)try{return H.apply(d,w.querySelectorAll(x)),d}catch(y){}finally{r||b.removeAttribute("id")}}}return i(a.replace(R,"$1"),b,d,e)}function ha(){var a=[];function b(c,e){return a.push(c+" ")>d.cacheLength&&delete b[a.shift()],b[c+" "]=e}return b}function ia(a){return a[u]=!0,a}function ja(a){var b=n.createElement("div");try{return!!a(b)}catch(c){return!1}finally{b.parentNode&&b.parentNode.removeChild(b),b=null}}function ka(a,b){var c=a.split("|"),e=a.length;while(e--)d.attrHandle[c[e]]=b}function la(a,b){var c=b&&a,d=c&&1===a.nodeType&&1===b.nodeType&&(~b.sourceIndex||C)-(~a.sourceIndex||C);if(d)return d;if(c)while(c=c.nextSibling)if(c===b)return-1;return a?1:-1}function ma(a){return function(b){var c=b.nodeName.toLowerCase();return"input"===c&&b.type===a}}function na(a){return function(b){var c=b.nodeName.toLowerCase();return("input"===c||"button"===c)&&b.type===a}}function oa(a){return ia(function(b){return b=+b,ia(function(c,d){var e,f=a([],c.length,b),g=f.length;while(g--)c[e=f[g]]&&(c[e]=!(d[e]=c[e]))})})}function pa(a){return a&&"undefined"!=typeof a.getElementsByTagName&&a}c=ga.support={},f=ga.isXML=function(a){var b=a&&(a.ownerDocument||a).documentElement;return b?"HTML"!==b.nodeName:!1},m=ga.setDocument=function(a){var b,e,g=a?a.ownerDocument||a:v;return g!==n&&9===g.nodeType&&g.documentElement?(n=g,o=g.documentElement,e=g.defaultView,e&&e!==e.top&&(e.addEventListener?e.addEventListener("unload",ea,!1):e.attachEvent&&e.attachEvent("onunload",ea)),p=!f(g),c.attributes=ja(function(a){return a.className="i",!a.getAttribute("className")}),c.getElementsByTagName=ja(function(a){return a.appendChild(g.createComment("")),!a.getElementsByTagName("*").length}),c.getElementsByClassName=$.test(g.getElementsByClassName),c.getById=ja(function(a){return o.appendChild(a).id=u,!g.getElementsByName||!g.getElementsByName(u).length}),c.getById?(d.find.ID=function(a,b){if("undefined"!=typeof b.getElementById&&p){var c=b.getElementById(a);return c&&c.parentNode?[c]:[]}},d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){return a.getAttribute("id")===b}}):(delete d.find.ID,d.filter.ID=function(a){var b=a.replace(ca,da);return function(a){var c="undefined"!=typeof a.getAttributeNode&&a.getAttributeNode("id");return c&&c.value===b}}),d.find.TAG=c.getElementsByTagName?function(a,b){return"undefined"!=typeof b.getElementsByTagName?b.getElementsByTagName(a):c.qsa?b.querySelectorAll(a):void 0}:function(a,b){var c,d=[],e=0,f=b.getElementsByTagName(a);if("*"===a){while(c=f[e++])1===c.nodeType&&d.push(c);return d}return f},d.find.CLASS=c.getElementsByClassName&&function(a,b){return p?b.getElementsByClassName(a):void 0},r=[],q=[],(c.qsa=$.test(g.querySelectorAll))&&(ja(function(a){o.appendChild(a).innerHTML="<a id='"+u+"'></a><select id='"+u+"-\f]' msallowcapture=''><option selected=''></option></select>",a.querySelectorAll("[msallowcapture^='']").length&&q.push("[*^$]="+L+"*(?:''|\"\")"),a.querySelectorAll("[selected]").length||q.push("\\["+L+"*(?:value|"+K+")"),a.querySelectorAll("[id~="+u+"-]").length||q.push("~="),a.querySelectorAll(":checked").length||q.push(":checked"),a.querySelectorAll("a#"+u+"+*").length||q.push(".#.+[+~]")}),ja(function(a){var b=g.createElement("input");b.setAttribute("type","hidden"),a.appendChild(b).setAttribute("name","D"),a.querySelectorAll("[name=d]").length&&q.push("name"+L+"*[*^$|!~]?="),a.querySelectorAll(":enabled").length||q.push(":enabled",":disabled"),a.querySelectorAll("*,:x"),q.push(",.*:")})),(c.matchesSelector=$.test(s=o.matches||o.webkitMatchesSelector||o.mozMatchesSelector||o.oMatchesSelector||o.msMatchesSelector))&&ja(function(a){c.disconnectedMatch=s.call(a,"div"),s.call(a,"[s!='']:x"),r.push("!=",P)}),q=q.length&&new RegExp(q.join("|")),r=r.length&&new RegExp(r.join("|")),b=$.test(o.compareDocumentPosition),t=b||$.test(o.contains)?function(a,b){var c=9===a.nodeType?a.documentElement:a,d=b&&b.parentNode;return a===d||!(!d||1!==d.nodeType||!(c.contains?c.contains(d):a.compareDocumentPosition&&16&a.compareDocumentPosition(d)))}:function(a,b){if(b)while(b=b.parentNode)if(b===a)return!0;return!1},B=b?function(a,b){if(a===b)return l=!0,0;var d=!a.compareDocumentPosition-!b.compareDocumentPosition;return d?d:(d=(a.ownerDocument||a)===(b.ownerDocument||b)?a.compareDocumentPosition(b):1,1&d||!c.sortDetached&&b.compareDocumentPosition(a)===d?a===g||a.ownerDocument===v&&t(v,a)?-1:b===g||b.ownerDocument===v&&t(v,b)?1:k?J(k,a)-J(k,b):0:4&d?-1:1)}:function(a,b){if(a===b)return l=!0,0;var c,d=0,e=a.parentNode,f=b.parentNode,h=[a],i=[b];if(!e||!f)return a===g?-1:b===g?1:e?-1:f?1:k?J(k,a)-J(k,b):0;if(e===f)return la(a,b);c=a;while(c=c.parentNode)h.unshift(c);c=b;while(c=c.parentNode)i.unshift(c);while(h[d]===i[d])d++;return d?la(h[d],i[d]):h[d]===v?-1:i[d]===v?1:0},g):n},ga.matches=function(a,b){return ga(a,null,null,b)},ga.matchesSelector=function(a,b){if((a.ownerDocument||a)!==n&&m(a),b=b.replace(U,"='$1']"),!(!c.matchesSelector||!p||r&&r.test(b)||q&&q.test(b)))try{var d=s.call(a,b);if(d||c.disconnectedMatch||a.document&&11!==a.document.nodeType)return d}catch(e){}return ga(b,n,null,[a]).length>0},ga.contains=function(a,b){return(a.ownerDocument||a)!==n&&m(a),t(a,b)},ga.attr=function(a,b){(a.ownerDocument||a)!==n&&m(a);var e=d.attrHandle[b.toLowerCase()],f=e&&D.call(d.attrHandle,b.toLowerCase())?e(a,b,!p):void 0;return void 0!==f?f:c.attributes||!p?a.getAttribute(b):(f=a.getAttributeNode(b))&&f.specified?f.value:null},ga.error=function(a){throw new Error("Syntax error, unrecognized expression: "+a)},ga.uniqueSort=function(a){var b,d=[],e=0,f=0;if(l=!c.detectDuplicates,k=!c.sortStable&&a.slice(0),a.sort(B),l){while(b=a[f++])b===a[f]&&(e=d.push(f));while(e--)a.splice(d[e],1)}return k=null,a},e=ga.getText=function(a){var b,c="",d=0,f=a.nodeType;if(f){if(1===f||9===f||11===f){if("string"==typeof a.textContent)return a.textContent;for(a=a.firstChild;a;a=a.nextSibling)c+=e(a)}else if(3===f||4===f)return a.nodeValue}else while(b=a[d++])c+=e(b);return c},d=ga.selectors={cacheLength:50,createPseudo:ia,match:X,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(a){return a[1]=a[1].replace(ca,da),a[3]=(a[3]||a[4]||a[5]||"").replace(ca,da),"~="===a[2]&&(a[3]=" "+a[3]+" "),a.slice(0,4)},CHILD:function(a){return a[1]=a[1].toLowerCase(),"nth"===a[1].slice(0,3)?(a[3]||ga.error(a[0]),a[4]=+(a[4]?a[5]+(a[6]||1):2*("even"===a[3]||"odd"===a[3])),a[5]=+(a[7]+a[8]||"odd"===a[3])):a[3]&&ga.error(a[0]),a},PSEUDO:function(a){var b,c=!a[6]&&a[2];return X.CHILD.test(a[0])?null:(a[3]?a[2]=a[4]||a[5]||"":c&&V.test(c)&&(b=g(c,!0))&&(b=c.indexOf(")",c.length-b)-c.length)&&(a[0]=a[0].slice(0,b),a[2]=c.slice(0,b)),a.slice(0,3))}},filter:{TAG:function(a){var b=a.replace(ca,da).toLowerCase();return"*"===a?function(){return!0}:function(a){return a.nodeName&&a.nodeName.toLowerCase()===b}},CLASS:function(a){var b=y[a+" "];return b||(b=new RegExp("(^|"+L+")"+a+"("+L+"|$)"))&&y(a,function(a){return b.test("string"==typeof a.className&&a.className||"undefined"!=typeof a.getAttribute&&a.getAttribute("class")||"")})},ATTR:function(a,b,c){return function(d){var e=ga.attr(d,a);return null==e?"!="===b:b?(e+="","="===b?e===c:"!="===b?e!==c:"^="===b?c&&0===e.indexOf(c):"*="===b?c&&e.indexOf(c)>-1:"$="===b?c&&e.slice(-c.length)===c:"~="===b?(" "+e.replace(Q," ")+" ").indexOf(c)>-1:"|="===b?e===c||e.slice(0,c.length+1)===c+"-":!1):!0}},CHILD:function(a,b,c,d,e){var f="nth"!==a.slice(0,3),g="last"!==a.slice(-4),h="of-type"===b;return 1===d&&0===e?function(a){return!!a.parentNode}:function(b,c,i){var j,k,l,m,n,o,p=f!==g?"nextSibling":"previousSibling",q=b.parentNode,r=h&&b.nodeName.toLowerCase(),s=!i&&!h;if(q){if(f){while(p){l=b;while(l=l[p])if(h?l.nodeName.toLowerCase()===r:1===l.nodeType)return!1;o=p="only"===a&&!o&&"nextSibling"}return!0}if(o=[g?q.firstChild:q.lastChild],g&&s){k=q[u]||(q[u]={}),j=k[a]||[],n=j[0]===w&&j[1],m=j[0]===w&&j[2],l=n&&q.childNodes[n];while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if(1===l.nodeType&&++m&&l===b){k[a]=[w,n,m];break}}else if(s&&(j=(b[u]||(b[u]={}))[a])&&j[0]===w)m=j[1];else while(l=++n&&l&&l[p]||(m=n=0)||o.pop())if((h?l.nodeName.toLowerCase()===r:1===l.nodeType)&&++m&&(s&&((l[u]||(l[u]={}))[a]=[w,m]),l===b))break;return m-=e,m===d||m%d===0&&m/d>=0}}},PSEUDO:function(a,b){var c,e=d.pseudos[a]||d.setFilters[a.toLowerCase()]||ga.error("unsupported pseudo: "+a);return e[u]?e(b):e.length>1?(c=[a,a,"",b],d.setFilters.hasOwnProperty(a.toLowerCase())?ia(function(a,c){var d,f=e(a,b),g=f.length;while(g--)d=J(a,f[g]),a[d]=!(c[d]=f[g])}):function(a){return e(a,0,c)}):e}},pseudos:{not:ia(function(a){var b=[],c=[],d=h(a.replace(R,"$1"));return d[u]?ia(function(a,b,c,e){var f,g=d(a,null,e,[]),h=a.length;while(h--)(f=g[h])&&(a[h]=!(b[h]=f))}):function(a,e,f){return b[0]=a,d(b,null,f,c),b[0]=null,!c.pop()}}),has:ia(function(a){return function(b){return ga(a,b).length>0}}),contains:ia(function(a){return a=a.replace(ca,da),function(b){return(b.textContent||b.innerText||e(b)).indexOf(a)>-1}}),lang:ia(function(a){return W.test(a||"")||ga.error("unsupported lang: "+a),a=a.replace(ca,da).toLowerCase(),function(b){var c;do if(c=p?b.lang:b.getAttribute("xml:lang")||b.getAttribute("lang"))return c=c.toLowerCase(),c===a||0===c.indexOf(a+"-");while((b=b.parentNode)&&1===b.nodeType);return!1}}),target:function(b){var c=a.location&&a.location.hash;return c&&c.slice(1)===b.id},root:function(a){return a===o},focus:function(a){return a===n.activeElement&&(!n.hasFocus||n.hasFocus())&&!!(a.type||a.href||~a.tabIndex)},enabled:function(a){return a.disabled===!1},disabled:function(a){return a.disabled===!0},checked:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&!!a.checked||"option"===b&&!!a.selected},selected:function(a){return a.parentNode&&a.parentNode.selectedIndex,a.selected===!0},empty:function(a){for(a=a.firstChild;a;a=a.nextSibling)if(a.nodeType<6)return!1;return!0},parent:function(a){return!d.pseudos.empty(a)},header:function(a){return Z.test(a.nodeName)},input:function(a){return Y.test(a.nodeName)},button:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&"button"===a.type||"button"===b},text:function(a){var b;return"input"===a.nodeName.toLowerCase()&&"text"===a.type&&(null==(b=a.getAttribute("type"))||"text"===b.toLowerCase())},first:oa(function(){return[0]}),last:oa(function(a,b){return[b-1]}),eq:oa(function(a,b,c){return[0>c?c+b:c]}),even:oa(function(a,b){for(var c=0;b>c;c+=2)a.push(c);return a}),odd:oa(function(a,b){for(var c=1;b>c;c+=2)a.push(c);return a}),lt:oa(function(a,b,c){for(var d=0>c?c+b:c;--d>=0;)a.push(d);return a}),gt:oa(function(a,b,c){for(var d=0>c?c+b:c;++d<b;)a.push(d);return a})}},d.pseudos.nth=d.pseudos.eq;for(b in{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})d.pseudos[b]=ma(b);for(b in{submit:!0,reset:!0})d.pseudos[b]=na(b);function qa(){}qa.prototype=d.filters=d.pseudos,d.setFilters=new qa,g=ga.tokenize=function(a,b){var c,e,f,g,h,i,j,k=z[a+" "];if(k)return b?0:k.slice(0);h=a,i=[],j=d.preFilter;while(h){(!c||(e=S.exec(h)))&&(e&&(h=h.slice(e[0].length)||h),i.push(f=[])),c=!1,(e=T.exec(h))&&(c=e.shift(),f.push({value:c,type:e[0].replace(R," ")}),h=h.slice(c.length));for(g in d.filter)!(e=X[g].exec(h))||j[g]&&!(e=j[g](e))||(c=e.shift(),f.push({value:c,type:g,matches:e}),h=h.slice(c.length));if(!c)break}return b?h.length:h?ga.error(a):z(a,i).slice(0)};function ra(a){for(var b=0,c=a.length,d="";c>b;b++)d+=a[b].value;return d}function sa(a,b,c){var d=b.dir,e=c&&"parentNode"===d,f=x++;return b.first?function(b,c,f){while(b=b[d])if(1===b.nodeType||e)return a(b,c,f)}:function(b,c,g){var h,i,j=[w,f];if(g){while(b=b[d])if((1===b.nodeType||e)&&a(b,c,g))return!0}else while(b=b[d])if(1===b.nodeType||e){if(i=b[u]||(b[u]={}),(h=i[d])&&h[0]===w&&h[1]===f)return j[2]=h[2];if(i[d]=j,j[2]=a(b,c,g))return!0}}}function ta(a){return a.length>1?function(b,c,d){var e=a.length;while(e--)if(!a[e](b,c,d))return!1;return!0}:a[0]}function ua(a,b,c){for(var d=0,e=b.length;e>d;d++)ga(a,b[d],c);return c}function va(a,b,c,d,e){for(var f,g=[],h=0,i=a.length,j=null!=b;i>h;h++)(f=a[h])&&(!c||c(f,d,e))&&(g.push(f),j&&b.push(h));return g}function wa(a,b,c,d,e,f){return d&&!d[u]&&(d=wa(d)),e&&!e[u]&&(e=wa(e,f)),ia(function(f,g,h,i){var j,k,l,m=[],n=[],o=g.length,p=f||ua(b||"*",h.nodeType?[h]:h,[]),q=!a||!f&&b?p:va(p,m,a,h,i),r=c?e||(f?a:o||d)?[]:g:q;if(c&&c(q,r,h,i),d){j=va(r,n),d(j,[],h,i),k=j.length;while(k--)(l=j[k])&&(r[n[k]]=!(q[n[k]]=l))}if(f){if(e||a){if(e){j=[],k=r.length;while(k--)(l=r[k])&&j.push(q[k]=l);e(null,r=[],j,i)}k=r.length;while(k--)(l=r[k])&&(j=e?J(f,l):m[k])>-1&&(f[j]=!(g[j]=l))}}else r=va(r===g?r.splice(o,r.length):r),e?e(null,g,r,i):H.apply(g,r)})}function xa(a){for(var b,c,e,f=a.length,g=d.relative[a[0].type],h=g||d.relative[" "],i=g?1:0,k=sa(function(a){return a===b},h,!0),l=sa(function(a){return J(b,a)>-1},h,!0),m=[function(a,c,d){var e=!g&&(d||c!==j)||((b=c).nodeType?k(a,c,d):l(a,c,d));return b=null,e}];f>i;i++)if(c=d.relative[a[i].type])m=[sa(ta(m),c)];else{if(c=d.filter[a[i].type].apply(null,a[i].matches),c[u]){for(e=++i;f>e;e++)if(d.relative[a[e].type])break;return wa(i>1&&ta(m),i>1&&ra(a.slice(0,i-1).concat({value:" "===a[i-2].type?"*":""})).replace(R,"$1"),c,e>i&&xa(a.slice(i,e)),f>e&&xa(a=a.slice(e)),f>e&&ra(a))}m.push(c)}return ta(m)}function ya(a,b){var c=b.length>0,e=a.length>0,f=function(f,g,h,i,k){var l,m,o,p=0,q="0",r=f&&[],s=[],t=j,u=f||e&&d.find.TAG("*",k),v=w+=null==t?1:Math.random()||.1,x=u.length;for(k&&(j=g!==n&&g);q!==x&&null!=(l=u[q]);q++){if(e&&l){m=0;while(o=a[m++])if(o(l,g,h)){i.push(l);break}k&&(w=v)}c&&((l=!o&&l)&&p--,f&&r.push(l))}if(p+=q,c&&q!==p){m=0;while(o=b[m++])o(r,s,g,h);if(f){if(p>0)while(q--)r[q]||s[q]||(s[q]=F.call(i));s=va(s)}H.apply(i,s),k&&!f&&s.length>0&&p+b.length>1&&ga.uniqueSort(i)}return k&&(w=v,j=t),r};return c?ia(f):f}return h=ga.compile=function(a,b){var c,d=[],e=[],f=A[a+" "];if(!f){b||(b=g(a)),c=b.length;while(c--)f=xa(b[c]),f[u]?d.push(f):e.push(f);f=A(a,ya(e,d)),f.selector=a}return f},i=ga.select=function(a,b,e,f){var i,j,k,l,m,n="function"==typeof a&&a,o=!f&&g(a=n.selector||a);if(e=e||[],1===o.length){if(j=o[0]=o[0].slice(0),j.length>2&&"ID"===(k=j[0]).type&&c.getById&&9===b.nodeType&&p&&d.relative[j[1].type]){if(b=(d.find.ID(k.matches[0].replace(ca,da),b)||[])[0],!b)return e;n&&(b=b.parentNode),a=a.slice(j.shift().value.length)}i=X.needsContext.test(a)?0:j.length;while(i--){if(k=j[i],d.relative[l=k.type])break;if((m=d.find[l])&&(f=m(k.matches[0].replace(ca,da),aa.test(j[0].type)&&pa(b.parentNode)||b))){if(j.splice(i,1),a=f.length&&ra(j),!a)return H.apply(e,f),e;break}}}return(n||h(a,o))(f,b,!p,e,aa.test(a)&&pa(b.parentNode)||b),e},c.sortStable=u.split("").sort(B).join("")===u,c.detectDuplicates=!!l,m(),c.sortDetached=ja(function(a){return 1&a.compareDocumentPosition(n.createElement("div"))}),ja(function(a){return a.innerHTML="<a href='#'></a>","#"===a.firstChild.getAttribute("href")})||ka("type|href|height|width",function(a,b,c){return c?void 0:a.getAttribute(b,"type"===b.toLowerCase()?1:2)}),c.attributes&&ja(function(a){return a.innerHTML="<input/>",a.firstChild.setAttribute("value",""),""===a.firstChild.getAttribute("value")})||ka("value",function(a,b,c){return c||"input"!==a.nodeName.toLowerCase()?void 0:a.defaultValue}),ja(function(a){return null==a.getAttribute("disabled")})||ka(K,function(a,b,c){var d;return c?void 0:a[b]===!0?b.toLowerCase():(d=a.getAttributeNode(b))&&d.specified?d.value:null}),ga}(a);m.find=s,m.expr=s.selectors,m.expr[":"]=m.expr.pseudos,m.unique=s.uniqueSort,m.text=s.getText,m.isXMLDoc=s.isXML,m.contains=s.contains;var t=m.expr.match.needsContext,u=/^<(\w+)\s*\/?>(?:<\/\1>|)$/,v=/^.[^:#\[\.,]*$/;function w(a,b,c){if(m.isFunction(b))return m.grep(a,function(a,d){return!!b.call(a,d,a)!==c});if(b.nodeType)return m.grep(a,function(a){return a===b!==c});if("string"==typeof b){if(v.test(b))return m.filter(b,a,c);b=m.filter(b,a)}return m.grep(a,function(a){return m.inArray(a,b)>=0!==c})}m.filter=function(a,b,c){var d=b[0];return c&&(a=":not("+a+")"),1===b.length&&1===d.nodeType?m.find.matchesSelector(d,a)?[d]:[]:m.find.matches(a,m.grep(b,function(a){return 1===a.nodeType}))},m.fn.extend({find:function(a){var b,c=[],d=this,e=d.length;if("string"!=typeof a)return this.pushStack(m(a).filter(function(){for(b=0;e>b;b++)if(m.contains(d[b],this))return!0}));for(b=0;e>b;b++)m.find(a,d[b],c);return c=this.pushStack(e>1?m.unique(c):c),c.selector=this.selector?this.selector+" "+a:a,c},filter:function(a){return this.pushStack(w(this,a||[],!1))},not:function(a){return this.pushStack(w(this,a||[],!0))},is:function(a){return!!w(this,"string"==typeof a&&t.test(a)?m(a):a||[],!1).length}});var x,y=a.document,z=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]*))$/,A=m.fn.init=function(a,b){var c,d;if(!a)return this;if("string"==typeof a){if(c="<"===a.charAt(0)&&">"===a.charAt(a.length-1)&&a.length>=3?[null,a,null]:z.exec(a),!c||!c[1]&&b)return!b||b.jquery?(b||x).find(a):this.constructor(b).find(a);if(c[1]){if(b=b instanceof m?b[0]:b,m.merge(this,m.parseHTML(c[1],b&&b.nodeType?b.ownerDocument||b:y,!0)),u.test(c[1])&&m.isPlainObject(b))for(c in b)m.isFunction(this[c])?this[c](b[c]):this.attr(c,b[c]);return this}if(d=y.getElementById(c[2]),d&&d.parentNode){if(d.id!==c[2])return x.find(a);this.length=1,this[0]=d}return this.context=y,this.selector=a,this}return a.nodeType?(this.context=this[0]=a,this.length=1,this):m.isFunction(a)?"undefined"!=typeof x.ready?x.ready(a):a(m):(void 0!==a.selector&&(this.selector=a.selector,this.context=a.context),m.makeArray(a,this))};A.prototype=m.fn,x=m(y);var B=/^(?:parents|prev(?:Until|All))/,C={children:!0,contents:!0,next:!0,prev:!0};m.extend({dir:function(a,b,c){var d=[],e=a[b];while(e&&9!==e.nodeType&&(void 0===c||1!==e.nodeType||!m(e).is(c)))1===e.nodeType&&d.push(e),e=e[b];return d},sibling:function(a,b){for(var c=[];a;a=a.nextSibling)1===a.nodeType&&a!==b&&c.push(a);return c}}),m.fn.extend({has:function(a){var b,c=m(a,this),d=c.length;return this.filter(function(){for(b=0;d>b;b++)if(m.contains(this,c[b]))return!0})},closest:function(a,b){for(var c,d=0,e=this.length,f=[],g=t.test(a)||"string"!=typeof a?m(a,b||this.context):0;e>d;d++)for(c=this[d];c&&c!==b;c=c.parentNode)if(c.nodeType<11&&(g?g.index(c)>-1:1===c.nodeType&&m.find.matchesSelector(c,a))){f.push(c);break}return this.pushStack(f.length>1?m.unique(f):f)},index:function(a){return a?"string"==typeof a?m.inArray(this[0],m(a)):m.inArray(a.jquery?a[0]:a,this):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(a,b){return this.pushStack(m.unique(m.merge(this.get(),m(a,b))))},addBack:function(a){return this.add(null==a?this.prevObject:this.prevObject.filter(a))}});function D(a,b){do a=a[b];while(a&&1!==a.nodeType);return a}m.each({parent:function(a){var b=a.parentNode;return b&&11!==b.nodeType?b:null},parents:function(a){return m.dir(a,"parentNode")},parentsUntil:function(a,b,c){return m.dir(a,"parentNode",c)},next:function(a){return D(a,"nextSibling")},prev:function(a){return D(a,"previousSibling")},nextAll:function(a){return m.dir(a,"nextSibling")},prevAll:function(a){return m.dir(a,"previousSibling")},nextUntil:function(a,b,c){return m.dir(a,"nextSibling",c)},prevUntil:function(a,b,c){return m.dir(a,"previousSibling",c)},siblings:function(a){return m.sibling((a.parentNode||{}).firstChild,a)},children:function(a){return m.sibling(a.firstChild)},contents:function(a){return m.nodeName(a,"iframe")?a.contentDocument||a.contentWindow.document:m.merge([],a.childNodes)}},function(a,b){m.fn[a]=function(c,d){var e=m.map(this,b,c);return"Until"!==a.slice(-5)&&(d=c),d&&"string"==typeof d&&(e=m.filter(d,e)),this.length>1&&(C[a]||(e=m.unique(e)),B.test(a)&&(e=e.reverse())),this.pushStack(e)}});var E=/\S+/g,F={};function G(a){var b=F[a]={};return m.each(a.match(E)||[],function(a,c){b[c]=!0}),b}m.Callbacks=function(a){a="string"==typeof a?F[a]||G(a):m.extend({},a);var b,c,d,e,f,g,h=[],i=!a.once&&[],j=function(l){for(c=a.memory&&l,d=!0,f=g||0,g=0,e=h.length,b=!0;h&&e>f;f++)if(h[f].apply(l[0],l[1])===!1&&a.stopOnFalse){c=!1;break}b=!1,h&&(i?i.length&&j(i.shift()):c?h=[]:k.disable())},k={add:function(){if(h){var d=h.length;!function f(b){m.each(b,function(b,c){var d=m.type(c);"function"===d?a.unique&&k.has(c)||h.push(c):c&&c.length&&"string"!==d&&f(c)})}(arguments),b?e=h.length:c&&(g=d,j(c))}return this},remove:function(){return h&&m.each(arguments,function(a,c){var d;while((d=m.inArray(c,h,d))>-1)h.splice(d,1),b&&(e>=d&&e--,f>=d&&f--)}),this},has:function(a){return a?m.inArray(a,h)>-1:!(!h||!h.length)},empty:function(){return h=[],e=0,this},disable:function(){return h=i=c=void 0,this},disabled:function(){return!h},lock:function(){return i=void 0,c||k.disable(),this},locked:function(){return!i},fireWith:function(a,c){return!h||d&&!i||(c=c||[],c=[a,c.slice?c.slice():c],b?i.push(c):j(c)),this},fire:function(){return k.fireWith(this,arguments),this},fired:function(){return!!d}};return k},m.extend({Deferred:function(a){var b=[["resolve","done",m.Callbacks("once memory"),"resolved"],["reject","fail",m.Callbacks("once memory"),"rejected"],["notify","progress",m.Callbacks("memory")]],c="pending",d={state:function(){return c},always:function(){return e.done(arguments).fail(arguments),this},then:function(){var a=arguments;return m.Deferred(function(c){m.each(b,function(b,f){var g=m.isFunction(a[b])&&a[b];e[f[1]](function(){var a=g&&g.apply(this,arguments);a&&m.isFunction(a.promise)?a.promise().done(c.resolve).fail(c.reject).progress(c.notify):c[f[0]+"With"](this===d?c.promise():this,g?[a]:arguments)})}),a=null}).promise()},promise:function(a){return null!=a?m.extend(a,d):d}},e={};return d.pipe=d.then,m.each(b,function(a,f){var g=f[2],h=f[3];d[f[1]]=g.add,h&&g.add(function(){c=h},b[1^a][2].disable,b[2][2].lock),e[f[0]]=function(){return e[f[0]+"With"](this===e?d:this,arguments),this},e[f[0]+"With"]=g.fireWith}),d.promise(e),a&&a.call(e,e),e},when:function(a){var b=0,c=d.call(arguments),e=c.length,f=1!==e||a&&m.isFunction(a.promise)?e:0,g=1===f?a:m.Deferred(),h=function(a,b,c){return function(e){b[a]=this,c[a]=arguments.length>1?d.call(arguments):e,c===i?g.notifyWith(b,c):--f||g.resolveWith(b,c)}},i,j,k;if(e>1)for(i=new Array(e),j=new Array(e),k=new Array(e);e>b;b++)c[b]&&m.isFunction(c[b].promise)?c[b].promise().done(h(b,k,c)).fail(g.reject).progress(h(b,j,i)):--f;return f||g.resolveWith(k,c),g.promise()}});var H;m.fn.ready=function(a){return m.ready.promise().done(a),this},m.extend({isReady:!1,readyWait:1,holdReady:function(a){a?m.readyWait++:m.ready(!0)},ready:function(a){if(a===!0?!--m.readyWait:!m.isReady){if(!y.body)return setTimeout(m.ready);m.isReady=!0,a!==!0&&--m.readyWait>0||(H.resolveWith(y,[m]),m.fn.triggerHandler&&(m(y).triggerHandler("ready"),m(y).off("ready")))}}});function I(){y.addEventListener?(y.removeEventListener("DOMContentLoaded",J,!1),a.removeEventListener("load",J,!1)):(y.detachEvent("onreadystatechange",J),a.detachEvent("onload",J))}function J(){(y.addEventListener||"load"===event.type||"complete"===y.readyState)&&(I(),m.ready())}m.ready.promise=function(b){if(!H)if(H=m.Deferred(),"complete"===y.readyState)setTimeout(m.ready);else if(y.addEventListener)y.addEventListener("DOMContentLoaded",J,!1),a.addEventListener("load",J,!1);else{y.attachEvent("onreadystatechange",J),a.attachEvent("onload",J);var c=!1;try{c=null==a.frameElement&&y.documentElement}catch(d){}c&&c.doScroll&&!function e(){if(!m.isReady){try{c.doScroll("left")}catch(a){return setTimeout(e,50)}I(),m.ready()}}()}return H.promise(b)};var K="undefined",L;for(L in m(k))break;k.ownLast="0"!==L,k.inlineBlockNeedsLayout=!1,m(function(){var a,b,c,d;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="display:inline;margin:0;border:0;padding:1px;width:1px;zoom:1",k.inlineBlockNeedsLayout=a=3===b.offsetWidth,a&&(c.style.zoom=1)),c.removeChild(d))}),function(){var a=y.createElement("div");if(null==k.deleteExpando){k.deleteExpando=!0;try{delete a.test}catch(b){k.deleteExpando=!1}}a=null}(),m.acceptData=function(a){var b=m.noData[(a.nodeName+" ").toLowerCase()],c=+a.nodeType||1;return 1!==c&&9!==c?!1:!b||b!==!0&&a.getAttribute("classid")===b};var M=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,N=/([A-Z])/g;function O(a,b,c){if(void 0===c&&1===a.nodeType){var d="data-"+b.replace(N,"-$1").toLowerCase();if(c=a.getAttribute(d),"string"==typeof c){try{c="true"===c?!0:"false"===c?!1:"null"===c?null:+c+""===c?+c:M.test(c)?m.parseJSON(c):c}catch(e){}m.data(a,b,c)}else c=void 0}return c}function P(a){var b;for(b in a)if(("data"!==b||!m.isEmptyObject(a[b]))&&"toJSON"!==b)return!1;
+
+return!0}function Q(a,b,d,e){if(m.acceptData(a)){var f,g,h=m.expando,i=a.nodeType,j=i?m.cache:a,k=i?a[h]:a[h]&&h;if(k&&j[k]&&(e||j[k].data)||void 0!==d||"string"!=typeof b)return k||(k=i?a[h]=c.pop()||m.guid++:h),j[k]||(j[k]=i?{}:{toJSON:m.noop}),("object"==typeof b||"function"==typeof b)&&(e?j[k]=m.extend(j[k],b):j[k].data=m.extend(j[k].data,b)),g=j[k],e||(g.data||(g.data={}),g=g.data),void 0!==d&&(g[m.camelCase(b)]=d),"string"==typeof b?(f=g[b],null==f&&(f=g[m.camelCase(b)])):f=g,f}}function R(a,b,c){if(m.acceptData(a)){var d,e,f=a.nodeType,g=f?m.cache:a,h=f?a[m.expando]:m.expando;if(g[h]){if(b&&(d=c?g[h]:g[h].data)){m.isArray(b)?b=b.concat(m.map(b,m.camelCase)):b in d?b=[b]:(b=m.camelCase(b),b=b in d?[b]:b.split(" ")),e=b.length;while(e--)delete d[b[e]];if(c?!P(d):!m.isEmptyObject(d))return}(c||(delete g[h].data,P(g[h])))&&(f?m.cleanData([a],!0):k.deleteExpando||g!=g.window?delete g[h]:g[h]=null)}}}m.extend({cache:{},noData:{"applet ":!0,"embed ":!0,"object ":"clsid:D27CDB6E-AE6D-11cf-96B8-444553540000"},hasData:function(a){return a=a.nodeType?m.cache[a[m.expando]]:a[m.expando],!!a&&!P(a)},data:function(a,b,c){return Q(a,b,c)},removeData:function(a,b){return R(a,b)},_data:function(a,b,c){return Q(a,b,c,!0)},_removeData:function(a,b){return R(a,b,!0)}}),m.fn.extend({data:function(a,b){var c,d,e,f=this[0],g=f&&f.attributes;if(void 0===a){if(this.length&&(e=m.data(f),1===f.nodeType&&!m._data(f,"parsedAttrs"))){c=g.length;while(c--)g[c]&&(d=g[c].name,0===d.indexOf("data-")&&(d=m.camelCase(d.slice(5)),O(f,d,e[d])));m._data(f,"parsedAttrs",!0)}return e}return"object"==typeof a?this.each(function(){m.data(this,a)}):arguments.length>1?this.each(function(){m.data(this,a,b)}):f?O(f,a,m.data(f,a)):void 0},removeData:function(a){return this.each(function(){m.removeData(this,a)})}}),m.extend({queue:function(a,b,c){var d;return a?(b=(b||"fx")+"queue",d=m._data(a,b),c&&(!d||m.isArray(c)?d=m._data(a,b,m.makeArray(c)):d.push(c)),d||[]):void 0},dequeue:function(a,b){b=b||"fx";var c=m.queue(a,b),d=c.length,e=c.shift(),f=m._queueHooks(a,b),g=function(){m.dequeue(a,b)};"inprogress"===e&&(e=c.shift(),d--),e&&("fx"===b&&c.unshift("inprogress"),delete f.stop,e.call(a,g,f)),!d&&f&&f.empty.fire()},_queueHooks:function(a,b){var c=b+"queueHooks";return m._data(a,c)||m._data(a,c,{empty:m.Callbacks("once memory").add(function(){m._removeData(a,b+"queue"),m._removeData(a,c)})})}}),m.fn.extend({queue:function(a,b){var c=2;return"string"!=typeof a&&(b=a,a="fx",c--),arguments.length<c?m.queue(this[0],a):void 0===b?this:this.each(function(){var c=m.queue(this,a,b);m._queueHooks(this,a),"fx"===a&&"inprogress"!==c[0]&&m.dequeue(this,a)})},dequeue:function(a){return this.each(function(){m.dequeue(this,a)})},clearQueue:function(a){return this.queue(a||"fx",[])},promise:function(a,b){var c,d=1,e=m.Deferred(),f=this,g=this.length,h=function(){--d||e.resolveWith(f,[f])};"string"!=typeof a&&(b=a,a=void 0),a=a||"fx";while(g--)c=m._data(f[g],a+"queueHooks"),c&&c.empty&&(d++,c.empty.add(h));return h(),e.promise(b)}});var S=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,T=["Top","Right","Bottom","Left"],U=function(a,b){return a=b||a,"none"===m.css(a,"display")||!m.contains(a.ownerDocument,a)},V=m.access=function(a,b,c,d,e,f,g){var h=0,i=a.length,j=null==c;if("object"===m.type(c)){e=!0;for(h in c)m.access(a,b,h,c[h],!0,f,g)}else if(void 0!==d&&(e=!0,m.isFunction(d)||(g=!0),j&&(g?(b.call(a,d),b=null):(j=b,b=function(a,b,c){return j.call(m(a),c)})),b))for(;i>h;h++)b(a[h],c,g?d:d.call(a[h],h,b(a[h],c)));return e?a:j?b.call(a):i?b(a[0],c):f},W=/^(?:checkbox|radio)$/i;!function(){var a=y.createElement("input"),b=y.createElement("div"),c=y.createDocumentFragment();if(b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",k.leadingWhitespace=3===b.firstChild.nodeType,k.tbody=!b.getElementsByTagName("tbody").length,k.htmlSerialize=!!b.getElementsByTagName("link").length,k.html5Clone="<:nav></:nav>"!==y.createElement("nav").cloneNode(!0).outerHTML,a.type="checkbox",a.checked=!0,c.appendChild(a),k.appendChecked=a.checked,b.innerHTML="<textarea>x</textarea>",k.noCloneChecked=!!b.cloneNode(!0).lastChild.defaultValue,c.appendChild(b),b.innerHTML="<input type='radio' checked='checked' name='t'/>",k.checkClone=b.cloneNode(!0).cloneNode(!0).lastChild.checked,k.noCloneEvent=!0,b.attachEvent&&(b.attachEvent("onclick",function(){k.noCloneEvent=!1}),b.cloneNode(!0).click()),null==k.deleteExpando){k.deleteExpando=!0;try{delete b.test}catch(d){k.deleteExpando=!1}}}(),function(){var b,c,d=y.createElement("div");for(b in{submit:!0,change:!0,focusin:!0})c="on"+b,(k[b+"Bubbles"]=c in a)||(d.setAttribute(c,"t"),k[b+"Bubbles"]=d.attributes[c].expando===!1);d=null}();var X=/^(?:input|select|textarea)$/i,Y=/^key/,Z=/^(?:mouse|pointer|contextmenu)|click/,$=/^(?:focusinfocus|focusoutblur)$/,_=/^([^.]*)(?:\.(.+)|)$/;function aa(){return!0}function ba(){return!1}function ca(){try{return y.activeElement}catch(a){}}m.event={global:{},add:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m._data(a);if(r){c.handler&&(i=c,c=i.handler,e=i.selector),c.guid||(c.guid=m.guid++),(g=r.events)||(g=r.events={}),(k=r.handle)||(k=r.handle=function(a){return typeof m===K||a&&m.event.triggered===a.type?void 0:m.event.dispatch.apply(k.elem,arguments)},k.elem=a),b=(b||"").match(E)||[""],h=b.length;while(h--)f=_.exec(b[h])||[],o=q=f[1],p=(f[2]||"").split(".").sort(),o&&(j=m.event.special[o]||{},o=(e?j.delegateType:j.bindType)||o,j=m.event.special[o]||{},l=m.extend({type:o,origType:q,data:d,handler:c,guid:c.guid,selector:e,needsContext:e&&m.expr.match.needsContext.test(e),namespace:p.join(".")},i),(n=g[o])||(n=g[o]=[],n.delegateCount=0,j.setup&&j.setup.call(a,d,p,k)!==!1||(a.addEventListener?a.addEventListener(o,k,!1):a.attachEvent&&a.attachEvent("on"+o,k))),j.add&&(j.add.call(a,l),l.handler.guid||(l.handler.guid=c.guid)),e?n.splice(n.delegateCount++,0,l):n.push(l),m.event.global[o]=!0);a=null}},remove:function(a,b,c,d,e){var f,g,h,i,j,k,l,n,o,p,q,r=m.hasData(a)&&m._data(a);if(r&&(k=r.events)){b=(b||"").match(E)||[""],j=b.length;while(j--)if(h=_.exec(b[j])||[],o=q=h[1],p=(h[2]||"").split(".").sort(),o){l=m.event.special[o]||{},o=(d?l.delegateType:l.bindType)||o,n=k[o]||[],h=h[2]&&new RegExp("(^|\\.)"+p.join("\\.(?:.*\\.|)")+"(\\.|$)"),i=f=n.length;while(f--)g=n[f],!e&&q!==g.origType||c&&c.guid!==g.guid||h&&!h.test(g.namespace)||d&&d!==g.selector&&("**"!==d||!g.selector)||(n.splice(f,1),g.selector&&n.delegateCount--,l.remove&&l.remove.call(a,g));i&&!n.length&&(l.teardown&&l.teardown.call(a,p,r.handle)!==!1||m.removeEvent(a,o,r.handle),delete k[o])}else for(o in k)m.event.remove(a,o+b[j],c,d,!0);m.isEmptyObject(k)&&(delete r.handle,m._removeData(a,"events"))}},trigger:function(b,c,d,e){var f,g,h,i,k,l,n,o=[d||y],p=j.call(b,"type")?b.type:b,q=j.call(b,"namespace")?b.namespace.split("."):[];if(h=l=d=d||y,3!==d.nodeType&&8!==d.nodeType&&!$.test(p+m.event.triggered)&&(p.indexOf(".")>=0&&(q=p.split("."),p=q.shift(),q.sort()),g=p.indexOf(":")<0&&"on"+p,b=b[m.expando]?b:new m.Event(p,"object"==typeof b&&b),b.isTrigger=e?2:3,b.namespace=q.join("."),b.namespace_re=b.namespace?new RegExp("(^|\\.)"+q.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,b.result=void 0,b.target||(b.target=d),c=null==c?[b]:m.makeArray(c,[b]),k=m.event.special[p]||{},e||!k.trigger||k.trigger.apply(d,c)!==!1)){if(!e&&!k.noBubble&&!m.isWindow(d)){for(i=k.delegateType||p,$.test(i+p)||(h=h.parentNode);h;h=h.parentNode)o.push(h),l=h;l===(d.ownerDocument||y)&&o.push(l.defaultView||l.parentWindow||a)}n=0;while((h=o[n++])&&!b.isPropagationStopped())b.type=n>1?i:k.bindType||p,f=(m._data(h,"events")||{})[b.type]&&m._data(h,"handle"),f&&f.apply(h,c),f=g&&h[g],f&&f.apply&&m.acceptData(h)&&(b.result=f.apply(h,c),b.result===!1&&b.preventDefault());if(b.type=p,!e&&!b.isDefaultPrevented()&&(!k._default||k._default.apply(o.pop(),c)===!1)&&m.acceptData(d)&&g&&d[p]&&!m.isWindow(d)){l=d[g],l&&(d[g]=null),m.event.triggered=p;try{d[p]()}catch(r){}m.event.triggered=void 0,l&&(d[g]=l)}return b.result}},dispatch:function(a){a=m.event.fix(a);var b,c,e,f,g,h=[],i=d.call(arguments),j=(m._data(this,"events")||{})[a.type]||[],k=m.event.special[a.type]||{};if(i[0]=a,a.delegateTarget=this,!k.preDispatch||k.preDispatch.call(this,a)!==!1){h=m.event.handlers.call(this,a,j),b=0;while((f=h[b++])&&!a.isPropagationStopped()){a.currentTarget=f.elem,g=0;while((e=f.handlers[g++])&&!a.isImmediatePropagationStopped())(!a.namespace_re||a.namespace_re.test(e.namespace))&&(a.handleObj=e,a.data=e.data,c=((m.event.special[e.origType]||{}).handle||e.handler).apply(f.elem,i),void 0!==c&&(a.result=c)===!1&&(a.preventDefault(),a.stopPropagation()))}return k.postDispatch&&k.postDispatch.call(this,a),a.result}},handlers:function(a,b){var c,d,e,f,g=[],h=b.delegateCount,i=a.target;if(h&&i.nodeType&&(!a.button||"click"!==a.type))for(;i!=this;i=i.parentNode||this)if(1===i.nodeType&&(i.disabled!==!0||"click"!==a.type)){for(e=[],f=0;h>f;f++)d=b[f],c=d.selector+" ",void 0===e[c]&&(e[c]=d.needsContext?m(c,this).index(i)>=0:m.find(c,this,null,[i]).length),e[c]&&e.push(d);e.length&&g.push({elem:i,handlers:e})}return h<b.length&&g.push({elem:this,handlers:b.slice(h)}),g},fix:function(a){if(a[m.expando])return a;var b,c,d,e=a.type,f=a,g=this.fixHooks[e];g||(this.fixHooks[e]=g=Z.test(e)?this.mouseHooks:Y.test(e)?this.keyHooks:{}),d=g.props?this.props.concat(g.props):this.props,a=new m.Event(f),b=d.length;while(b--)c=d[b],a[c]=f[c];return a.target||(a.target=f.srcElement||y),3===a.target.nodeType&&(a.target=a.target.parentNode),a.metaKey=!!a.metaKey,g.filter?g.filter(a,f):a},props:"altKey bubbles cancelable ctrlKey currentTarget eventPhase metaKey relatedTarget shiftKey target timeStamp view which".split(" "),fixHooks:{},keyHooks:{props:"char charCode key keyCode".split(" "),filter:function(a,b){return null==a.which&&(a.which=null!=b.charCode?b.charCode:b.keyCode),a}},mouseHooks:{props:"button buttons clientX clientY fromElement offsetX offsetY pageX pageY screenX screenY toElement".split(" "),filter:function(a,b){var c,d,e,f=b.button,g=b.fromElement;return null==a.pageX&&null!=b.clientX&&(d=a.target.ownerDocument||y,e=d.documentElement,c=d.body,a.pageX=b.clientX+(e&&e.scrollLeft||c&&c.scrollLeft||0)-(e&&e.clientLeft||c&&c.clientLeft||0),a.pageY=b.clientY+(e&&e.scrollTop||c&&c.scrollTop||0)-(e&&e.clientTop||c&&c.clientTop||0)),!a.relatedTarget&&g&&(a.relatedTarget=g===a.target?b.toElement:g),a.which||void 0===f||(a.which=1&f?1:2&f?3:4&f?2:0),a}},special:{load:{noBubble:!0},focus:{trigger:function(){if(this!==ca()&&this.focus)try{return this.focus(),!1}catch(a){}},delegateType:"focusin"},blur:{trigger:function(){return this===ca()&&this.blur?(this.blur(),!1):void 0},delegateType:"focusout"},click:{trigger:function(){return m.nodeName(this,"input")&&"checkbox"===this.type&&this.click?(this.click(),!1):void 0},_default:function(a){return m.nodeName(a.target,"a")}},beforeunload:{postDispatch:function(a){void 0!==a.result&&a.originalEvent&&(a.originalEvent.returnValue=a.result)}}},simulate:function(a,b,c,d){var e=m.extend(new m.Event,c,{type:a,isSimulated:!0,originalEvent:{}});d?m.event.trigger(e,null,b):m.event.dispatch.call(b,e),e.isDefaultPrevented()&&c.preventDefault()}},m.removeEvent=y.removeEventListener?function(a,b,c){a.removeEventListener&&a.removeEventListener(b,c,!1)}:function(a,b,c){var d="on"+b;a.detachEvent&&(typeof a[d]===K&&(a[d]=null),a.detachEvent(d,c))},m.Event=function(a,b){return this instanceof m.Event?(a&&a.type?(this.originalEvent=a,this.type=a.type,this.isDefaultPrevented=a.defaultPrevented||void 0===a.defaultPrevented&&a.returnValue===!1?aa:ba):this.type=a,b&&m.extend(this,b),this.timeStamp=a&&a.timeStamp||m.now(),void(this[m.expando]=!0)):new m.Event(a,b)},m.Event.prototype={isDefaultPrevented:ba,isPropagationStopped:ba,isImmediatePropagationStopped:ba,preventDefault:function(){var a=this.originalEvent;this.isDefaultPrevented=aa,a&&(a.preventDefault?a.preventDefault():a.returnValue=!1)},stopPropagation:function(){var a=this.originalEvent;this.isPropagationStopped=aa,a&&(a.stopPropagation&&a.stopPropagation(),a.cancelBubble=!0)},stopImmediatePropagation:function(){var a=this.originalEvent;this.isImmediatePropagationStopped=aa,a&&a.stopImmediatePropagation&&a.stopImmediatePropagation(),this.stopPropagation()}},m.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(a,b){m.event.special[a]={delegateType:b,bindType:b,handle:function(a){var c,d=this,e=a.relatedTarget,f=a.handleObj;return(!e||e!==d&&!m.contains(d,e))&&(a.type=f.origType,c=f.handler.apply(this,arguments),a.type=b),c}}}),k.submitBubbles||(m.event.special.submit={setup:function(){return m.nodeName(this,"form")?!1:void m.event.add(this,"click._submit keypress._submit",function(a){var b=a.target,c=m.nodeName(b,"input")||m.nodeName(b,"button")?b.form:void 0;c&&!m._data(c,"submitBubbles")&&(m.event.add(c,"submit._submit",function(a){a._submit_bubble=!0}),m._data(c,"submitBubbles",!0))})},postDispatch:function(a){a._submit_bubble&&(delete a._submit_bubble,this.parentNode&&!a.isTrigger&&m.event.simulate("submit",this.parentNode,a,!0))},teardown:function(){return m.nodeName(this,"form")?!1:void m.event.remove(this,"._submit")}}),k.changeBubbles||(m.event.special.change={setup:function(){return X.test(this.nodeName)?(("checkbox"===this.type||"radio"===this.type)&&(m.event.add(this,"propertychange._change",function(a){"checked"===a.originalEvent.propertyName&&(this._just_changed=!0)}),m.event.add(this,"click._change",function(a){this._just_changed&&!a.isTrigger&&(this._just_changed=!1),m.event.simulate("change",this,a,!0)})),!1):void m.event.add(this,"beforeactivate._change",function(a){var b=a.target;X.test(b.nodeName)&&!m._data(b,"changeBubbles")&&(m.event.add(b,"change._change",function(a){!this.parentNode||a.isSimulated||a.isTrigger||m.event.simulate("change",this.parentNode,a,!0)}),m._data(b,"changeBubbles",!0))})},handle:function(a){var b=a.target;return this!==b||a.isSimulated||a.isTrigger||"radio"!==b.type&&"checkbox"!==b.type?a.handleObj.handler.apply(this,arguments):void 0},teardown:function(){return m.event.remove(this,"._change"),!X.test(this.nodeName)}}),k.focusinBubbles||m.each({focus:"focusin",blur:"focusout"},function(a,b){var c=function(a){m.event.simulate(b,a.target,m.event.fix(a),!0)};m.event.special[b]={setup:function(){var d=this.ownerDocument||this,e=m._data(d,b);e||d.addEventListener(a,c,!0),m._data(d,b,(e||0)+1)},teardown:function(){var d=this.ownerDocument||this,e=m._data(d,b)-1;e?m._data(d,b,e):(d.removeEventListener(a,c,!0),m._removeData(d,b))}}}),m.fn.extend({on:function(a,b,c,d,e){var f,g;if("object"==typeof a){"string"!=typeof b&&(c=c||b,b=void 0);for(f in a)this.on(f,b,c,a[f],e);return this}if(null==c&&null==d?(d=b,c=b=void 0):null==d&&("string"==typeof b?(d=c,c=void 0):(d=c,c=b,b=void 0)),d===!1)d=ba;else if(!d)return this;return 1===e&&(g=d,d=function(a){return m().off(a),g.apply(this,arguments)},d.guid=g.guid||(g.guid=m.guid++)),this.each(function(){m.event.add(this,a,d,c,b)})},one:function(a,b,c,d){return this.on(a,b,c,d,1)},off:function(a,b,c){var d,e;if(a&&a.preventDefault&&a.handleObj)return d=a.handleObj,m(a.delegateTarget).off(d.namespace?d.origType+"."+d.namespace:d.origType,d.selector,d.handler),this;if("object"==typeof a){for(e in a)this.off(e,b,a[e]);return this}return(b===!1||"function"==typeof b)&&(c=b,b=void 0),c===!1&&(c=ba),this.each(function(){m.event.remove(this,a,c,b)})},trigger:function(a,b){return this.each(function(){m.event.trigger(a,b,this)})},triggerHandler:function(a,b){var c=this[0];return c?m.event.trigger(a,b,c,!0):void 0}});function da(a){var b=ea.split("|"),c=a.createDocumentFragment();if(c.createElement)while(b.length)c.createElement(b.pop());return c}var ea="abbr|article|aside|audio|bdi|canvas|data|datalist|details|figcaption|figure|footer|header|hgroup|mark|meter|nav|output|progress|section|summary|time|video",fa=/ jQuery\d+="(?:null|\d+)"/g,ga=new RegExp("<(?:"+ea+")[\\s/>]","i"),ha=/^\s+/,ia=/<(?!area|br|col|embed|hr|img|input|link|meta|param)(([\w:]+)[^>]*)\/>/gi,ja=/<([\w:]+)/,ka=/<tbody/i,la=/<|&#?\w+;/,ma=/<(?:script|style|link)/i,na=/checked\s*(?:[^=]|=\s*.checked.)/i,oa=/^$|\/(?:java|ecma)script/i,pa=/^true\/(.*)/,qa=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g,ra={option:[1,"<select multiple='multiple'>","</select>"],legend:[1,"<fieldset>","</fieldset>"],area:[1,"<map>","</map>"],param:[1,"<object>","</object>"],thead:[1,"<table>","</table>"],tr:[2,"<table><tbody>","</tbody></table>"],col:[2,"<table><tbody></tbody><colgroup>","</colgroup></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:k.htmlSerialize?[0,"",""]:[1,"X<div>","</div>"]},sa=da(y),ta=sa.appendChild(y.createElement("div"));ra.optgroup=ra.option,ra.tbody=ra.tfoot=ra.colgroup=ra.caption=ra.thead,ra.th=ra.td;function ua(a,b){var c,d,e=0,f=typeof a.getElementsByTagName!==K?a.getElementsByTagName(b||"*"):typeof a.querySelectorAll!==K?a.querySelectorAll(b||"*"):void 0;if(!f)for(f=[],c=a.childNodes||a;null!=(d=c[e]);e++)!b||m.nodeName(d,b)?f.push(d):m.merge(f,ua(d,b));return void 0===b||b&&m.nodeName(a,b)?m.merge([a],f):f}function va(a){W.test(a.type)&&(a.defaultChecked=a.checked)}function wa(a,b){return m.nodeName(a,"table")&&m.nodeName(11!==b.nodeType?b:b.firstChild,"tr")?a.getElementsByTagName("tbody")[0]||a.appendChild(a.ownerDocument.createElement("tbody")):a}function xa(a){return a.type=(null!==m.find.attr(a,"type"))+"/"+a.type,a}function ya(a){var b=pa.exec(a.type);return b?a.type=b[1]:a.removeAttribute("type"),a}function za(a,b){for(var c,d=0;null!=(c=a[d]);d++)m._data(c,"globalEval",!b||m._data(b[d],"globalEval"))}function Aa(a,b){if(1===b.nodeType&&m.hasData(a)){var c,d,e,f=m._data(a),g=m._data(b,f),h=f.events;if(h){delete g.handle,g.events={};for(c in h)for(d=0,e=h[c].length;e>d;d++)m.event.add(b,c,h[c][d])}g.data&&(g.data=m.extend({},g.data))}}function Ba(a,b){var c,d,e;if(1===b.nodeType){if(c=b.nodeName.toLowerCase(),!k.noCloneEvent&&b[m.expando]){e=m._data(b);for(d in e.events)m.removeEvent(b,d,e.handle);b.removeAttribute(m.expando)}"script"===c&&b.text!==a.text?(xa(b).text=a.text,ya(b)):"object"===c?(b.parentNode&&(b.outerHTML=a.outerHTML),k.html5Clone&&a.innerHTML&&!m.trim(b.innerHTML)&&(b.innerHTML=a.innerHTML)):"input"===c&&W.test(a.type)?(b.defaultChecked=b.checked=a.checked,b.value!==a.value&&(b.value=a.value)):"option"===c?b.defaultSelected=b.selected=a.defaultSelected:("input"===c||"textarea"===c)&&(b.defaultValue=a.defaultValue)}}m.extend({clone:function(a,b,c){var d,e,f,g,h,i=m.contains(a.ownerDocument,a);if(k.html5Clone||m.isXMLDoc(a)||!ga.test("<"+a.nodeName+">")?f=a.cloneNode(!0):(ta.innerHTML=a.outerHTML,ta.removeChild(f=ta.firstChild)),!(k.noCloneEvent&&k.noCloneChecked||1!==a.nodeType&&11!==a.nodeType||m.isXMLDoc(a)))for(d=ua(f),h=ua(a),g=0;null!=(e=h[g]);++g)d[g]&&Ba(e,d[g]);if(b)if(c)for(h=h||ua(a),d=d||ua(f),g=0;null!=(e=h[g]);g++)Aa(e,d[g]);else Aa(a,f);return d=ua(f,"script"),d.length>0&&za(d,!i&&ua(a,"script")),d=h=e=null,f},buildFragment:function(a,b,c,d){for(var e,f,g,h,i,j,l,n=a.length,o=da(b),p=[],q=0;n>q;q++)if(f=a[q],f||0===f)if("object"===m.type(f))m.merge(p,f.nodeType?[f]:f);else if(la.test(f)){h=h||o.appendChild(b.createElement("div")),i=(ja.exec(f)||["",""])[1].toLowerCase(),l=ra[i]||ra._default,h.innerHTML=l[1]+f.replace(ia,"<$1></$2>")+l[2],e=l[0];while(e--)h=h.lastChild;if(!k.leadingWhitespace&&ha.test(f)&&p.push(b.createTextNode(ha.exec(f)[0])),!k.tbody){f="table"!==i||ka.test(f)?"<table>"!==l[1]||ka.test(f)?0:h:h.firstChild,e=f&&f.childNodes.length;while(e--)m.nodeName(j=f.childNodes[e],"tbody")&&!j.childNodes.length&&f.removeChild(j)}m.merge(p,h.childNodes),h.textContent="";while(h.firstChild)h.removeChild(h.firstChild);h=o.lastChild}else p.push(b.createTextNode(f));h&&o.removeChild(h),k.appendChecked||m.grep(ua(p,"input"),va),q=0;while(f=p[q++])if((!d||-1===m.inArray(f,d))&&(g=m.contains(f.ownerDocument,f),h=ua(o.appendChild(f),"script"),g&&za(h),c)){e=0;while(f=h[e++])oa.test(f.type||"")&&c.push(f)}return h=null,o},cleanData:function(a,b){for(var d,e,f,g,h=0,i=m.expando,j=m.cache,l=k.deleteExpando,n=m.event.special;null!=(d=a[h]);h++)if((b||m.acceptData(d))&&(f=d[i],g=f&&j[f])){if(g.events)for(e in g.events)n[e]?m.event.remove(d,e):m.removeEvent(d,e,g.handle);j[f]&&(delete j[f],l?delete d[i]:typeof d.removeAttribute!==K?d.removeAttribute(i):d[i]=null,c.push(f))}}}),m.fn.extend({text:function(a){return V(this,function(a){return void 0===a?m.text(this):this.empty().append((this[0]&&this[0].ownerDocument||y).createTextNode(a))},null,a,arguments.length)},append:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.appendChild(a)}})},prepend:function(){return this.domManip(arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=wa(this,a);b.insertBefore(a,b.firstChild)}})},before:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this)})},after:function(){return this.domManip(arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this.nextSibling)})},remove:function(a,b){for(var c,d=a?m.filter(a,this):this,e=0;null!=(c=d[e]);e++)b||1!==c.nodeType||m.cleanData(ua(c)),c.parentNode&&(b&&m.contains(c.ownerDocument,c)&&za(ua(c,"script")),c.parentNode.removeChild(c));return this},empty:function(){for(var a,b=0;null!=(a=this[b]);b++){1===a.nodeType&&m.cleanData(ua(a,!1));while(a.firstChild)a.removeChild(a.firstChild);a.options&&m.nodeName(a,"select")&&(a.options.length=0)}return this},clone:function(a,b){return a=null==a?!1:a,b=null==b?a:b,this.map(function(){return m.clone(this,a,b)})},html:function(a){return V(this,function(a){var b=this[0]||{},c=0,d=this.length;if(void 0===a)return 1===b.nodeType?b.innerHTML.replace(fa,""):void 0;if(!("string"!=typeof a||ma.test(a)||!k.htmlSerialize&&ga.test(a)||!k.leadingWhitespace&&ha.test(a)||ra[(ja.exec(a)||["",""])[1].toLowerCase()])){a=a.replace(ia,"<$1></$2>");try{for(;d>c;c++)b=this[c]||{},1===b.nodeType&&(m.cleanData(ua(b,!1)),b.innerHTML=a);b=0}catch(e){}}b&&this.empty().append(a)},null,a,arguments.length)},replaceWith:function(){var a=arguments[0];return this.domManip(arguments,function(b){a=this.parentNode,m.cleanData(ua(this)),a&&a.replaceChild(b,this)}),a&&(a.length||a.nodeType)?this:this.remove()},detach:function(a){return this.remove(a,!0)},domManip:function(a,b){a=e.apply([],a);var c,d,f,g,h,i,j=0,l=this.length,n=this,o=l-1,p=a[0],q=m.isFunction(p);if(q||l>1&&"string"==typeof p&&!k.checkClone&&na.test(p))return this.each(function(c){var d=n.eq(c);q&&(a[0]=p.call(this,c,d.html())),d.domManip(a,b)});if(l&&(i=m.buildFragment(a,this[0].ownerDocument,!1,this),c=i.firstChild,1===i.childNodes.length&&(i=c),c)){for(g=m.map(ua(i,"script"),xa),f=g.length;l>j;j++)d=i,j!==o&&(d=m.clone(d,!0,!0),f&&m.merge(g,ua(d,"script"))),b.call(this[j],d,j);if(f)for(h=g[g.length-1].ownerDocument,m.map(g,ya),j=0;f>j;j++)d=g[j],oa.test(d.type||"")&&!m._data(d,"globalEval")&&m.contains(h,d)&&(d.src?m._evalUrl&&m._evalUrl(d.src):m.globalEval((d.text||d.textContent||d.innerHTML||"").replace(qa,"")));i=c=null}return this}}),m.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(a,b){m.fn[a]=function(a){for(var c,d=0,e=[],g=m(a),h=g.length-1;h>=d;d++)c=d===h?this:this.clone(!0),m(g[d])[b](c),f.apply(e,c.get());return this.pushStack(e)}});var Ca,Da={};function Ea(b,c){var d,e=m(c.createElement(b)).appendTo(c.body),f=a.getDefaultComputedStyle&&(d=a.getDefaultComputedStyle(e[0]))?d.display:m.css(e[0],"display");return e.detach(),f}function Fa(a){var b=y,c=Da[a];return c||(c=Ea(a,b),"none"!==c&&c||(Ca=(Ca||m("<iframe frameborder='0' width='0' height='0'/>")).appendTo(b.documentElement),b=(Ca[0].contentWindow||Ca[0].contentDocument).document,b.write(),b.close(),c=Ea(a,b),Ca.detach()),Da[a]=c),c}!function(){var a;k.shrinkWrapBlocks=function(){if(null!=a)return a;a=!1;var b,c,d;return c=y.getElementsByTagName("body")[0],c&&c.style?(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),typeof b.style.zoom!==K&&(b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:1px;width:1px;zoom:1",b.appendChild(y.createElement("div")).style.width="5px",a=3!==b.offsetWidth),c.removeChild(d),a):void 0}}();var Ga=/^margin/,Ha=new RegExp("^("+S+")(?!px)[a-z%]+$","i"),Ia,Ja,Ka=/^(top|right|bottom|left)$/;a.getComputedStyle?(Ia=function(b){return b.ownerDocument.defaultView.opener?b.ownerDocument.defaultView.getComputedStyle(b,null):a.getComputedStyle(b,null)},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c.getPropertyValue(b)||c[b]:void 0,c&&(""!==g||m.contains(a.ownerDocument,a)||(g=m.style(a,b)),Ha.test(g)&&Ga.test(b)&&(d=h.width,e=h.minWidth,f=h.maxWidth,h.minWidth=h.maxWidth=h.width=g,g=c.width,h.width=d,h.minWidth=e,h.maxWidth=f)),void 0===g?g:g+""}):y.documentElement.currentStyle&&(Ia=function(a){return a.currentStyle},Ja=function(a,b,c){var d,e,f,g,h=a.style;return c=c||Ia(a),g=c?c[b]:void 0,null==g&&h&&h[b]&&(g=h[b]),Ha.test(g)&&!Ka.test(b)&&(d=h.left,e=a.runtimeStyle,f=e&&e.left,f&&(e.left=a.currentStyle.left),h.left="fontSize"===b?"1em":g,g=h.pixelLeft+"px",h.left=d,f&&(e.left=f)),void 0===g?g:g+""||"auto"});function La(a,b){return{get:function(){var c=a();if(null!=c)return c?void delete this.get:(this.get=b).apply(this,arguments)}}}!function(){var b,c,d,e,f,g,h;if(b=y.createElement("div"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=d&&d.style){c.cssText="float:left;opacity:.5",k.opacity="0.5"===c.opacity,k.cssFloat=!!c.cssFloat,b.style.backgroundClip="content-box",b.cloneNode(!0).style.backgroundClip="",k.clearCloneStyle="content-box"===b.style.backgroundClip,k.boxSizing=""===c.boxSizing||""===c.MozBoxSizing||""===c.WebkitBoxSizing,m.extend(k,{reliableHiddenOffsets:function(){return null==g&&i(),g},boxSizingReliable:function(){return null==f&&i(),f},pixelPosition:function(){return null==e&&i(),e},reliableMarginRight:function(){return null==h&&i(),h}});function i(){var b,c,d,i;c=y.getElementsByTagName("body")[0],c&&c.style&&(b=y.createElement("div"),d=y.createElement("div"),d.style.cssText="position:absolute;border:0;width:0;height:0;top:0;left:-9999px",c.appendChild(d).appendChild(b),b.style.cssText="-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;display:block;margin-top:1%;top:1%;border:1px;padding:1px;width:4px;position:absolute",e=f=!1,h=!0,a.getComputedStyle&&(e="1%"!==(a.getComputedStyle(b,null)||{}).top,f="4px"===(a.getComputedStyle(b,null)||{width:"4px"}).width,i=b.appendChild(y.createElement("div")),i.style.cssText=b.style.cssText="-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;display:block;margin:0;border:0;padding:0",i.style.marginRight=i.style.width="0",b.style.width="1px",h=!parseFloat((a.getComputedStyle(i,null)||{}).marginRight),b.removeChild(i)),b.innerHTML="<table><tr><td></td><td>t</td></tr></table>",i=b.getElementsByTagName("td"),i[0].style.cssText="margin:0;border:0;padding:0;display:none",g=0===i[0].offsetHeight,g&&(i[0].style.display="",i[1].style.display="none",g=0===i[0].offsetHeight),c.removeChild(d))}}}(),m.swap=function(a,b,c,d){var e,f,g={};for(f in b)g[f]=a.style[f],a.style[f]=b[f];e=c.apply(a,d||[]);for(f in b)a.style[f]=g[f];return e};var Ma=/alpha\([^)]*\)/i,Na=/opacity\s*=\s*([^)]*)/,Oa=/^(none|table(?!-c[ea]).+)/,Pa=new RegExp("^("+S+")(.*)$","i"),Qa=new RegExp("^([+-])=("+S+")","i"),Ra={position:"absolute",visibility:"hidden",display:"block"},Sa={letterSpacing:"0",fontWeight:"400"},Ta=["Webkit","O","Moz","ms"];function Ua(a,b){if(b in a)return b;var c=b.charAt(0).toUpperCase()+b.slice(1),d=b,e=Ta.length;while(e--)if(b=Ta[e]+c,b in a)return b;return d}function Va(a,b){for(var c,d,e,f=[],g=0,h=a.length;h>g;g++)d=a[g],d.style&&(f[g]=m._data(d,"olddisplay"),c=d.style.display,b?(f[g]||"none"!==c||(d.style.display=""),""===d.style.display&&U(d)&&(f[g]=m._data(d,"olddisplay",Fa(d.nodeName)))):(e=U(d),(c&&"none"!==c||!e)&&m._data(d,"olddisplay",e?c:m.css(d,"display"))));for(g=0;h>g;g++)d=a[g],d.style&&(b&&"none"!==d.style.display&&""!==d.style.display||(d.style.display=b?f[g]||"":"none"));return a}function Wa(a,b,c){var d=Pa.exec(b);return d?Math.max(0,d[1]-(c||0))+(d[2]||"px"):b}function Xa(a,b,c,d,e){for(var f=c===(d?"border":"content")?4:"width"===b?1:0,g=0;4>f;f+=2)"margin"===c&&(g+=m.css(a,c+T[f],!0,e)),d?("content"===c&&(g-=m.css(a,"padding"+T[f],!0,e)),"margin"!==c&&(g-=m.css(a,"border"+T[f]+"Width",!0,e))):(g+=m.css(a,"padding"+T[f],!0,e),"padding"!==c&&(g+=m.css(a,"border"+T[f]+"Width",!0,e)));return g}function Ya(a,b,c){var d=!0,e="width"===b?a.offsetWidth:a.offsetHeight,f=Ia(a),g=k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,f);if(0>=e||null==e){if(e=Ja(a,b,f),(0>e||null==e)&&(e=a.style[b]),Ha.test(e))return e;d=g&&(k.boxSizingReliable()||e===a.style[b]),e=parseFloat(e)||0}return e+Xa(a,b,c||(g?"border":"content"),d,f)+"px"}m.extend({cssHooks:{opacity:{get:function(a,b){if(b){var c=Ja(a,"opacity");return""===c?"1":c}}}},cssNumber:{columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{"float":k.cssFloat?"cssFloat":"styleFloat"},style:function(a,b,c,d){if(a&&3!==a.nodeType&&8!==a.nodeType&&a.style){var e,f,g,h=m.camelCase(b),i=a.style;if(b=m.cssProps[h]||(m.cssProps[h]=Ua(i,h)),g=m.cssHooks[b]||m.cssHooks[h],void 0===c)return g&&"get"in g&&void 0!==(e=g.get(a,!1,d))?e:i[b];if(f=typeof c,"string"===f&&(e=Qa.exec(c))&&(c=(e[1]+1)*e[2]+parseFloat(m.css(a,b)),f="number"),null!=c&&c===c&&("number"!==f||m.cssNumber[h]||(c+="px"),k.clearCloneStyle||""!==c||0!==b.indexOf("background")||(i[b]="inherit"),!(g&&"set"in g&&void 0===(c=g.set(a,c,d)))))try{i[b]=c}catch(j){}}},css:function(a,b,c,d){var e,f,g,h=m.camelCase(b);return b=m.cssProps[h]||(m.cssProps[h]=Ua(a.style,h)),g=m.cssHooks[b]||m.cssHooks[h],g&&"get"in g&&(f=g.get(a,!0,c)),void 0===f&&(f=Ja(a,b,d)),"normal"===f&&b in Sa&&(f=Sa[b]),""===c||c?(e=parseFloat(f),c===!0||m.isNumeric(e)?e||0:f):f}}),m.each(["height","width"],function(a,b){m.cssHooks[b]={get:function(a,c,d){return c?Oa.test(m.css(a,"display"))&&0===a.offsetWidth?m.swap(a,Ra,function(){return Ya(a,b,d)}):Ya(a,b,d):void 0},set:function(a,c,d){var e=d&&Ia(a);return Wa(a,c,d?Xa(a,b,d,k.boxSizing&&"border-box"===m.css(a,"boxSizing",!1,e),e):0)}}}),k.opacity||(m.cssHooks.opacity={get:function(a,b){return Na.test((b&&a.currentStyle?a.currentStyle.filter:a.style.filter)||"")?.01*parseFloat(RegExp.$1)+"":b?"1":""},set:function(a,b){var c=a.style,d=a.currentStyle,e=m.isNumeric(b)?"alpha(opacity="+100*b+")":"",f=d&&d.filter||c.filter||"";c.zoom=1,(b>=1||""===b)&&""===m.trim(f.replace(Ma,""))&&c.removeAttribute&&(c.removeAttribute("filter"),""===b||d&&!d.filter)||(c.filter=Ma.test(f)?f.replace(Ma,e):f+" "+e)}}),m.cssHooks.marginRight=La(k.reliableMarginRight,function(a,b){return b?m.swap(a,{display:"inline-block"},Ja,[a,"marginRight"]):void 0}),m.each({margin:"",padding:"",border:"Width"},function(a,b){m.cssHooks[a+b]={expand:function(c){for(var d=0,e={},f="string"==typeof c?c.split(" "):[c];4>d;d++)e[a+T[d]+b]=f[d]||f[d-2]||f[0];return e}},Ga.test(a)||(m.cssHooks[a+b].set=Wa)}),m.fn.extend({css:function(a,b){return V(this,function(a,b,c){var d,e,f={},g=0;if(m.isArray(b)){for(d=Ia(a),e=b.length;e>g;g++)f[b[g]]=m.css(a,b[g],!1,d);return f}return void 0!==c?m.style(a,b,c):m.css(a,b)},a,b,arguments.length>1)},show:function(){return Va(this,!0)},hide:function(){return Va(this)},toggle:function(a){return"boolean"==typeof a?a?this.show():this.hide():this.each(function(){U(this)?m(this).show():m(this).hide()})}});function Za(a,b,c,d,e){
+return new Za.prototype.init(a,b,c,d,e)}m.Tween=Za,Za.prototype={constructor:Za,init:function(a,b,c,d,e,f){this.elem=a,this.prop=c,this.easing=e||"swing",this.options=b,this.start=this.now=this.cur(),this.end=d,this.unit=f||(m.cssNumber[c]?"":"px")},cur:function(){var a=Za.propHooks[this.prop];return a&&a.get?a.get(this):Za.propHooks._default.get(this)},run:function(a){var b,c=Za.propHooks[this.prop];return this.options.duration?this.pos=b=m.easing[this.easing](a,this.options.duration*a,0,1,this.options.duration):this.pos=b=a,this.now=(this.end-this.start)*b+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),c&&c.set?c.set(this):Za.propHooks._default.set(this),this}},Za.prototype.init.prototype=Za.prototype,Za.propHooks={_default:{get:function(a){var b;return null==a.elem[a.prop]||a.elem.style&&null!=a.elem.style[a.prop]?(b=m.css(a.elem,a.prop,""),b&&"auto"!==b?b:0):a.elem[a.prop]},set:function(a){m.fx.step[a.prop]?m.fx.step[a.prop](a):a.elem.style&&(null!=a.elem.style[m.cssProps[a.prop]]||m.cssHooks[a.prop])?m.style(a.elem,a.prop,a.now+a.unit):a.elem[a.prop]=a.now}}},Za.propHooks.scrollTop=Za.propHooks.scrollLeft={set:function(a){a.elem.nodeType&&a.elem.parentNode&&(a.elem[a.prop]=a.now)}},m.easing={linear:function(a){return a},swing:function(a){return.5-Math.cos(a*Math.PI)/2}},m.fx=Za.prototype.init,m.fx.step={};var $a,_a,ab=/^(?:toggle|show|hide)$/,bb=new RegExp("^(?:([+-])=|)("+S+")([a-z%]*)$","i"),cb=/queueHooks$/,db=[ib],eb={"*":[function(a,b){var c=this.createTween(a,b),d=c.cur(),e=bb.exec(b),f=e&&e[3]||(m.cssNumber[a]?"":"px"),g=(m.cssNumber[a]||"px"!==f&&+d)&&bb.exec(m.css(c.elem,a)),h=1,i=20;if(g&&g[3]!==f){f=f||g[3],e=e||[],g=+d||1;do h=h||".5",g/=h,m.style(c.elem,a,g+f);while(h!==(h=c.cur()/d)&&1!==h&&--i)}return e&&(g=c.start=+g||+d||0,c.unit=f,c.end=e[1]?g+(e[1]+1)*e[2]:+e[2]),c}]};function fb(){return setTimeout(function(){$a=void 0}),$a=m.now()}function gb(a,b){var c,d={height:a},e=0;for(b=b?1:0;4>e;e+=2-b)c=T[e],d["margin"+c]=d["padding"+c]=a;return b&&(d.opacity=d.width=a),d}function hb(a,b,c){for(var d,e=(eb[b]||[]).concat(eb["*"]),f=0,g=e.length;g>f;f++)if(d=e[f].call(c,b,a))return d}function ib(a,b,c){var d,e,f,g,h,i,j,l,n=this,o={},p=a.style,q=a.nodeType&&U(a),r=m._data(a,"fxshow");c.queue||(h=m._queueHooks(a,"fx"),null==h.unqueued&&(h.unqueued=0,i=h.empty.fire,h.empty.fire=function(){h.unqueued||i()}),h.unqueued++,n.always(function(){n.always(function(){h.unqueued--,m.queue(a,"fx").length||h.empty.fire()})})),1===a.nodeType&&("height"in b||"width"in b)&&(c.overflow=[p.overflow,p.overflowX,p.overflowY],j=m.css(a,"display"),l="none"===j?m._data(a,"olddisplay")||Fa(a.nodeName):j,"inline"===l&&"none"===m.css(a,"float")&&(k.inlineBlockNeedsLayout&&"inline"!==Fa(a.nodeName)?p.zoom=1:p.display="inline-block")),c.overflow&&(p.overflow="hidden",k.shrinkWrapBlocks()||n.always(function(){p.overflow=c.overflow[0],p.overflowX=c.overflow[1],p.overflowY=c.overflow[2]}));for(d in b)if(e=b[d],ab.exec(e)){if(delete b[d],f=f||"toggle"===e,e===(q?"hide":"show")){if("show"!==e||!r||void 0===r[d])continue;q=!0}o[d]=r&&r[d]||m.style(a,d)}else j=void 0;if(m.isEmptyObject(o))"inline"===("none"===j?Fa(a.nodeName):j)&&(p.display=j);else{r?"hidden"in r&&(q=r.hidden):r=m._data(a,"fxshow",{}),f&&(r.hidden=!q),q?m(a).show():n.done(function(){m(a).hide()}),n.done(function(){var b;m._removeData(a,"fxshow");for(b in o)m.style(a,b,o[b])});for(d in o)g=hb(q?r[d]:0,d,n),d in r||(r[d]=g.start,q&&(g.end=g.start,g.start="width"===d||"height"===d?1:0))}}function jb(a,b){var c,d,e,f,g;for(c in a)if(d=m.camelCase(c),e=b[d],f=a[c],m.isArray(f)&&(e=f[1],f=a[c]=f[0]),c!==d&&(a[d]=f,delete a[c]),g=m.cssHooks[d],g&&"expand"in g){f=g.expand(f),delete a[d];for(c in f)c in a||(a[c]=f[c],b[c]=e)}else b[d]=e}function kb(a,b,c){var d,e,f=0,g=db.length,h=m.Deferred().always(function(){delete i.elem}),i=function(){if(e)return!1;for(var b=$a||fb(),c=Math.max(0,j.startTime+j.duration-b),d=c/j.duration||0,f=1-d,g=0,i=j.tweens.length;i>g;g++)j.tweens[g].run(f);return h.notifyWith(a,[j,f,c]),1>f&&i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:m.extend({},b),opts:m.extend(!0,{specialEasing:{}},c),originalProperties:b,originalOptions:c,startTime:$a||fb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=m.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d>c;c++)j.tweens[c].run(1);return b?h.resolveWith(a,[j,b]):h.rejectWith(a,[j,b]),this}}),k=j.props;for(jb(k,j.opts.specialEasing);g>f;f++)if(d=db[f].call(j,a,k,j.opts))return d;return m.map(k,hb,j),m.isFunction(j.opts.start)&&j.opts.start.call(a,j),m.fx.timer(m.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}m.Animation=m.extend(kb,{tweener:function(a,b){m.isFunction(a)?(b=a,a=["*"]):a=a.split(" ");for(var c,d=0,e=a.length;e>d;d++)c=a[d],eb[c]=eb[c]||[],eb[c].unshift(b)},prefilter:function(a,b){b?db.unshift(a):db.push(a)}}),m.speed=function(a,b,c){var d=a&&"object"==typeof a?m.extend({},a):{complete:c||!c&&b||m.isFunction(a)&&a,duration:a,easing:c&&b||b&&!m.isFunction(b)&&b};return d.duration=m.fx.off?0:"number"==typeof d.duration?d.duration:d.duration in m.fx.speeds?m.fx.speeds[d.duration]:m.fx.speeds._default,(null==d.queue||d.queue===!0)&&(d.queue="fx"),d.old=d.complete,d.complete=function(){m.isFunction(d.old)&&d.old.call(this),d.queue&&m.dequeue(this,d.queue)},d},m.fn.extend({fadeTo:function(a,b,c,d){return this.filter(U).css("opacity",0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=m.isEmptyObject(a),f=m.speed(b,c,d),g=function(){var b=kb(this,m.extend({},a),f);(e||m._data(this,"finish"))&&b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return"string"!=typeof a&&(c=b,b=a,a=void 0),b&&a!==!1&&this.queue(a||"fx",[]),this.each(function(){var b=!0,e=null!=a&&a+"queueHooks",f=m.timers,g=m._data(this);if(e)g[e]&&g[e].stop&&d(g[e]);else for(e in g)g[e]&&g[e].stop&&cb.test(e)&&d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&&f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));(b||!c)&&m.dequeue(this,a)})},finish:function(a){return a!==!1&&(a=a||"fx"),this.each(function(){var b,c=m._data(this),d=c[a+"queue"],e=c[a+"queueHooks"],f=m.timers,g=d?d.length:0;for(c.finish=!0,m.queue(this,a,[]),e&&e.stop&&e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&&f[b].queue===a&&(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g>b;b++)d[b]&&d[b].finish&&d[b].finish.call(this);delete c.finish})}}),m.each(["toggle","show","hide"],function(a,b){var c=m.fn[b];m.fn[b]=function(a,d,e){return null==a||"boolean"==typeof a?c.apply(this,arguments):this.animate(gb(b,!0),a,d,e)}}),m.each({slideDown:gb("show"),slideUp:gb("hide"),slideToggle:gb("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(a,b){m.fn[a]=function(a,c,d){return this.animate(b,a,c,d)}}),m.timers=[],m.fx.tick=function(){var a,b=m.timers,c=0;for($a=m.now();c<b.length;c++)a=b[c],a()||b[c]!==a||b.splice(c--,1);b.length||m.fx.stop(),$a=void 0},m.fx.timer=function(a){m.timers.push(a),a()?m.fx.start():m.timers.pop()},m.fx.interval=13,m.fx.start=function(){_a||(_a=setInterval(m.fx.tick,m.fx.interval))},m.fx.stop=function(){clearInterval(_a),_a=null},m.fx.speeds={slow:600,fast:200,_default:400},m.fn.delay=function(a,b){return a=m.fx?m.fx.speeds[a]||a:a,b=b||"fx",this.queue(b,function(b,c){var d=setTimeout(b,a);c.stop=function(){clearTimeout(d)}})},function(){var a,b,c,d,e;b=y.createElement("div"),b.setAttribute("className","t"),b.innerHTML="  <link/><table></table><a href='/a'>a</a><input type='checkbox'/>",d=b.getElementsByTagName("a")[0],c=y.createElement("select"),e=c.appendChild(y.createElement("option")),a=b.getElementsByTagName("input")[0],d.style.cssText="top:1px",k.getSetAttribute="t"!==b.className,k.style=/top/.test(d.getAttribute("style")),k.hrefNormalized="/a"===d.getAttribute("href"),k.checkOn=!!a.value,k.optSelected=e.selected,k.enctype=!!y.createElement("form").enctype,c.disabled=!0,k.optDisabled=!e.disabled,a=y.createElement("input"),a.setAttribute("value",""),k.input=""===a.getAttribute("value"),a.value="t",a.setAttribute("type","radio"),k.radioValue="t"===a.value}();var lb=/\r/g;m.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=m.isFunction(a),this.each(function(c){var e;1===this.nodeType&&(e=d?a.call(this,c,m(this).val()):a,null==e?e="":"number"==typeof e?e+="":m.isArray(e)&&(e=m.map(e,function(a){return null==a?"":a+""})),b=m.valHooks[this.type]||m.valHooks[this.nodeName.toLowerCase()],b&&"set"in b&&void 0!==b.set(this,e,"value")||(this.value=e))});if(e)return b=m.valHooks[e.type]||m.valHooks[e.nodeName.toLowerCase()],b&&"get"in b&&void 0!==(c=b.get(e,"value"))?c:(c=e.value,"string"==typeof c?c.replace(lb,""):null==c?"":c)}}}),m.extend({valHooks:{option:{get:function(a){var b=m.find.attr(a,"value");return null!=b?b:m.trim(m.text(a))}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f="select-one"===a.type||0>e,g=f?null:[],h=f?e+1:d.length,i=0>e?h:f?e:0;h>i;i++)if(c=d[i],!(!c.selected&&i!==e||(k.optDisabled?c.disabled:null!==c.getAttribute("disabled"))||c.parentNode.disabled&&m.nodeName(c.parentNode,"optgroup"))){if(b=m(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=m.makeArray(b),g=e.length;while(g--)if(d=e[g],m.inArray(m.valHooks.option.get(d),f)>=0)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),m.each(["radio","checkbox"],function(){m.valHooks[this]={set:function(a,b){return m.isArray(b)?a.checked=m.inArray(m(a).val(),b)>=0:void 0}},k.checkOn||(m.valHooks[this].get=function(a){return null===a.getAttribute("value")?"on":a.value})});var mb,nb,ob=m.expr.attrHandle,pb=/^(?:checked|selected)$/i,qb=k.getSetAttribute,rb=k.input;m.fn.extend({attr:function(a,b){return V(this,m.attr,a,b,arguments.length>1)},removeAttr:function(a){return this.each(function(){m.removeAttr(this,a)})}}),m.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(a&&3!==f&&8!==f&&2!==f)return typeof a.getAttribute===K?m.prop(a,b,c):(1===f&&m.isXMLDoc(a)||(b=b.toLowerCase(),d=m.attrHooks[b]||(m.expr.match.bool.test(b)?nb:mb)),void 0===c?d&&"get"in d&&null!==(e=d.get(a,b))?e:(e=m.find.attr(a,b),null==e?void 0:e):null!==c?d&&"set"in d&&void 0!==(e=d.set(a,c,b))?e:(a.setAttribute(b,c+""),c):void m.removeAttr(a,b))},removeAttr:function(a,b){var c,d,e=0,f=b&&b.match(E);if(f&&1===a.nodeType)while(c=f[e++])d=m.propFix[c]||c,m.expr.match.bool.test(c)?rb&&qb||!pb.test(c)?a[d]=!1:a[m.camelCase("default-"+c)]=a[d]=!1:m.attr(a,c,""),a.removeAttribute(qb?c:d)},attrHooks:{type:{set:function(a,b){if(!k.radioValue&&"radio"===b&&m.nodeName(a,"input")){var c=a.value;return a.setAttribute("type",b),c&&(a.value=c),b}}}}}),nb={set:function(a,b,c){return b===!1?m.removeAttr(a,c):rb&&qb||!pb.test(c)?a.setAttribute(!qb&&m.propFix[c]||c,c):a[m.camelCase("default-"+c)]=a[c]=!0,c}},m.each(m.expr.match.bool.source.match(/\w+/g),function(a,b){var c=ob[b]||m.find.attr;ob[b]=rb&&qb||!pb.test(b)?function(a,b,d){var e,f;return d||(f=ob[b],ob[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,ob[b]=f),e}:function(a,b,c){return c?void 0:a[m.camelCase("default-"+b)]?b.toLowerCase():null}}),rb&&qb||(m.attrHooks.value={set:function(a,b,c){return m.nodeName(a,"input")?void(a.defaultValue=b):mb&&mb.set(a,b,c)}}),qb||(mb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+="","value"===c||b===a.getAttribute(c)?b:void 0}},ob.id=ob.name=ob.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&&""!==d.value?d.value:null},m.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&&c.specified?c.value:void 0},set:mb.set},m.attrHooks.contenteditable={set:function(a,b,c){mb.set(a,""===b?!1:b,c)}},m.each(["width","height"],function(a,b){m.attrHooks[b]={set:function(a,c){return""===c?(a.setAttribute(b,"auto"),c):void 0}}})),k.style||(m.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+""}});var sb=/^(?:input|select|textarea|button|object)$/i,tb=/^(?:a|area)$/i;m.fn.extend({prop:function(a,b){return V(this,m.prop,a,b,arguments.length>1)},removeProp:function(a){return a=m.propFix[a]||a,this.each(function(){try{this[a]=void 0,delete this[a]}catch(b){}})}}),m.extend({propFix:{"for":"htmlFor","class":"className"},prop:function(a,b,c){var d,e,f,g=a.nodeType;if(a&&3!==g&&8!==g&&2!==g)return f=1!==g||!m.isXMLDoc(a),f&&(b=m.propFix[b]||b,e=m.propHooks[b]),void 0!==c?e&&"set"in e&&void 0!==(d=e.set(a,c,b))?d:a[b]=c:e&&"get"in e&&null!==(d=e.get(a,b))?d:a[b]},propHooks:{tabIndex:{get:function(a){var b=m.find.attr(a,"tabindex");return b?parseInt(b,10):sb.test(a.nodeName)||tb.test(a.nodeName)&&a.href?0:-1}}}}),k.hrefNormalized||m.each(["href","src"],function(a,b){m.propHooks[b]={get:function(a){return a.getAttribute(b,4)}}}),k.optSelected||(m.propHooks.selected={get:function(a){var b=a.parentNode;return b&&(b.selectedIndex,b.parentNode&&b.parentNode.selectedIndex),null}}),m.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){m.propFix[this.toLowerCase()]=this}),k.enctype||(m.propFix.enctype="encoding");var ub=/[\t\r\n\f]/g;m.fn.extend({addClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j="string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).addClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):" ")){f=0;while(e=b[f++])d.indexOf(" "+e+" ")<0&&(d+=e+" ");g=m.trim(d),c.className!==g&&(c.className=g)}return this},removeClass:function(a){var b,c,d,e,f,g,h=0,i=this.length,j=0===arguments.length||"string"==typeof a&&a;if(m.isFunction(a))return this.each(function(b){m(this).removeClass(a.call(this,b,this.className))});if(j)for(b=(a||"").match(E)||[];i>h;h++)if(c=this[h],d=1===c.nodeType&&(c.className?(" "+c.className+" ").replace(ub," "):"")){f=0;while(e=b[f++])while(d.indexOf(" "+e+" ")>=0)d=d.replace(" "+e+" "," ");g=a?m.trim(d):"",c.className!==g&&(c.className=g)}return this},toggleClass:function(a,b){var c=typeof a;return"boolean"==typeof b&&"string"===c?b?this.addClass(a):this.removeClass(a):this.each(m.isFunction(a)?function(c){m(this).toggleClass(a.call(this,c,this.className,b),b)}:function(){if("string"===c){var b,d=0,e=m(this),f=a.match(E)||[];while(b=f[d++])e.hasClass(b)?e.removeClass(b):e.addClass(b)}else(c===K||"boolean"===c)&&(this.className&&m._data(this,"__className__",this.className),this.className=this.className||a===!1?"":m._data(this,"__className__")||"")})},hasClass:function(a){for(var b=" "+a+" ",c=0,d=this.length;d>c;c++)if(1===this[c].nodeType&&(" "+this[c].className+" ").replace(ub," ").indexOf(b)>=0)return!0;return!1}}),m.each("blur focus focusin focusout load resize scroll unload click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup error contextmenu".split(" "),function(a,b){m.fn[b]=function(a,c){return arguments.length>0?this.on(b,null,a,c):this.trigger(b)}}),m.fn.extend({hover:function(a,b){return this.mouseenter(a).mouseleave(b||a)},bind:function(a,b,c){return this.on(a,null,b,c)},unbind:function(a,b){return this.off(a,null,b)},delegate:function(a,b,c,d){return this.on(b,a,c,d)},undelegate:function(a,b,c){return 1===arguments.length?this.off(a,"**"):this.off(b,a||"**",c)}});var vb=m.now(),wb=/\?/,xb=/(,)|(\[|{)|(}|])|"(?:[^"\\\r\n]|\\["\\\/bfnrt]|\\u[\da-fA-F]{4})*"\s*:?|true|false|null|-?(?!0\d)\d+(?:\.\d+|)(?:[eE][+-]?\d+|)/g;m.parseJSON=function(b){if(a.JSON&&a.JSON.parse)return a.JSON.parse(b+"");var c,d=null,e=m.trim(b+"");return e&&!m.trim(e.replace(xb,function(a,b,e,f){return c&&b&&(d=0),0===d?a:(c=e||b,d+=!f-!e,"")}))?Function("return "+e)():m.error("Invalid JSON: "+b)},m.parseXML=function(b){var c,d;if(!b||"string"!=typeof b)return null;try{a.DOMParser?(d=new DOMParser,c=d.parseFromString(b,"text/xml")):(c=new ActiveXObject("Microsoft.XMLDOM"),c.async="false",c.loadXML(b))}catch(e){c=void 0}return c&&c.documentElement&&!c.getElementsByTagName("parsererror").length||m.error("Invalid XML: "+b),c};var yb,zb,Ab=/#.*$/,Bb=/([?&])_=[^&]*/,Cb=/^(.*?):[ \t]*([^\r\n]*)\r?$/gm,Db=/^(?:about|app|app-storage|.+-extension|file|res|widget):$/,Eb=/^(?:GET|HEAD)$/,Fb=/^\/\//,Gb=/^([\w.+-]+:)(?:\/\/(?:[^\/?#]*@|)([^\/?#:]*)(?::(\d+)|)|)/,Hb={},Ib={},Jb="*/".concat("*");try{zb=location.href}catch(Kb){zb=y.createElement("a"),zb.href="",zb=zb.href}yb=Gb.exec(zb.toLowerCase())||[];function Lb(a){return function(b,c){"string"!=typeof b&&(c=b,b="*");var d,e=0,f=b.toLowerCase().match(E)||[];if(m.isFunction(c))while(d=f[e++])"+"===d.charAt(0)?(d=d.slice(1)||"*",(a[d]=a[d]||[]).unshift(c)):(a[d]=a[d]||[]).push(c)}}function Mb(a,b,c,d){var e={},f=a===Ib;function g(h){var i;return e[h]=!0,m.each(a[h]||[],function(a,h){var j=h(b,c,d);return"string"!=typeof j||f||e[j]?f?!(i=j):void 0:(b.dataTypes.unshift(j),g(j),!1)}),i}return g(b.dataTypes[0])||!e["*"]&&g("*")}function Nb(a,b){var c,d,e=m.ajaxSettings.flatOptions||{};for(d in b)void 0!==b[d]&&((e[d]?a:c||(c={}))[d]=b[d]);return c&&m.extend(!0,a,c),a}function Ob(a,b,c){var d,e,f,g,h=a.contents,i=a.dataTypes;while("*"===i[0])i.shift(),void 0===e&&(e=a.mimeType||b.getResponseHeader("Content-Type"));if(e)for(g in h)if(h[g]&&h[g].test(e)){i.unshift(g);break}if(i[0]in c)f=i[0];else{for(g in c){if(!i[0]||a.converters[g+" "+i[0]]){f=g;break}d||(d=g)}f=f||d}return f?(f!==i[0]&&i.unshift(f),c[f]):void 0}function Pb(a,b,c,d){var e,f,g,h,i,j={},k=a.dataTypes.slice();if(k[1])for(g in a.converters)j[g.toLowerCase()]=a.converters[g];f=k.shift();while(f)if(a.responseFields[f]&&(c[a.responseFields[f]]=b),!i&&d&&a.dataFilter&&(b=a.dataFilter(b,a.dataType)),i=f,f=k.shift())if("*"===f)f=i;else if("*"!==i&&i!==f){if(g=j[i+" "+f]||j["* "+f],!g)for(e in j)if(h=e.split(" "),h[1]===f&&(g=j[i+" "+h[0]]||j["* "+h[0]])){g===!0?g=j[e]:j[e]!==!0&&(f=h[0],k.unshift(h[1]));break}if(g!==!0)if(g&&a["throws"])b=g(b);else try{b=g(b)}catch(l){return{state:"parsererror",error:g?l:"No conversion from "+i+" to "+f}}}return{state:"success",data:b}}m.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:zb,type:"GET",isLocal:Db.test(yb[1]),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Jb,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/xml/,html:/html/,json:/json/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":m.parseJSON,"text xml":m.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(a,b){return b?Nb(Nb(a,m.ajaxSettings),b):Nb(m.ajaxSettings,a)},ajaxPrefilter:Lb(Hb),ajaxTransport:Lb(Ib),ajax:function(a,b){"object"==typeof a&&(b=a,a=void 0),b=b||{};var c,d,e,f,g,h,i,j,k=m.ajaxSetup({},b),l=k.context||k,n=k.context&&(l.nodeType||l.jquery)?m(l):m.event,o=m.Deferred(),p=m.Callbacks("once memory"),q=k.statusCode||{},r={},s={},t=0,u="canceled",v={readyState:0,getResponseHeader:function(a){var b;if(2===t){if(!j){j={};while(b=Cb.exec(f))j[b[1].toLowerCase()]=b[2]}b=j[a.toLowerCase()]}return null==b?null:b},getAllResponseHeaders:function(){return 2===t?f:null},setRequestHeader:function(a,b){var c=a.toLowerCase();return t||(a=s[c]=s[c]||a,r[a]=b),this},overrideMimeType:function(a){return t||(k.mimeType=a),this},statusCode:function(a){var b;if(a)if(2>t)for(b in a)q[b]=[q[b],a[b]];else v.always(a[v.status]);return this},abort:function(a){var b=a||u;return i&&i.abort(b),x(0,b),this}};if(o.promise(v).complete=p.add,v.success=v.done,v.error=v.fail,k.url=((a||k.url||zb)+"").replace(Ab,"").replace(Fb,yb[1]+"//"),k.type=b.method||b.type||k.method||k.type,k.dataTypes=m.trim(k.dataType||"*").toLowerCase().match(E)||[""],null==k.crossDomain&&(c=Gb.exec(k.url.toLowerCase()),k.crossDomain=!(!c||c[1]===yb[1]&&c[2]===yb[2]&&(c[3]||("http:"===c[1]?"80":"443"))===(yb[3]||("http:"===yb[1]?"80":"443")))),k.data&&k.processData&&"string"!=typeof k.data&&(k.data=m.param(k.data,k.traditional)),Mb(Hb,k,b,v),2===t)return v;h=m.event&&k.global,h&&0===m.active++&&m.event.trigger("ajaxStart"),k.type=k.type.toUpperCase(),k.hasContent=!Eb.test(k.type),e=k.url,k.hasContent||(k.data&&(e=k.url+=(wb.test(e)?"&":"?")+k.data,delete k.data),k.cache===!1&&(k.url=Bb.test(e)?e.replace(Bb,"$1_="+vb++):e+(wb.test(e)?"&":"?")+"_="+vb++)),k.ifModified&&(m.lastModified[e]&&v.setRequestHeader("If-Modified-Since",m.lastModified[e]),m.etag[e]&&v.setRequestHeader("If-None-Match",m.etag[e])),(k.data&&k.hasContent&&k.contentType!==!1||b.contentType)&&v.setRequestHeader("Content-Type",k.contentType),v.setRequestHeader("Accept",k.dataTypes[0]&&k.accepts[k.dataTypes[0]]?k.accepts[k.dataTypes[0]]+("*"!==k.dataTypes[0]?", "+Jb+"; q=0.01":""):k.accepts["*"]);for(d in k.headers)v.setRequestHeader(d,k.headers[d]);if(k.beforeSend&&(k.beforeSend.call(l,v,k)===!1||2===t))return v.abort();u="abort";for(d in{success:1,error:1,complete:1})v[d](k[d]);if(i=Mb(Ib,k,b,v)){v.readyState=1,h&&n.trigger("ajaxSend",[v,k]),k.async&&k.timeout>0&&(g=setTimeout(function(){v.abort("timeout")},k.timeout));try{t=1,i.send(r,x)}catch(w){if(!(2>t))throw w;x(-1,w)}}else x(-1,"No Transport");function x(a,b,c,d){var j,r,s,u,w,x=b;2!==t&&(t=2,g&&clearTimeout(g),i=void 0,f=d||"",v.readyState=a>0?4:0,j=a>=200&&300>a||304===a,c&&(u=Ob(k,v,c)),u=Pb(k,u,v,j),j?(k.ifModified&&(w=v.getResponseHeader("Last-Modified"),w&&(m.lastModified[e]=w),w=v.getResponseHeader("etag"),w&&(m.etag[e]=w)),204===a||"HEAD"===k.type?x="nocontent":304===a?x="notmodified":(x=u.state,r=u.data,s=u.error,j=!s)):(s=x,(a||!x)&&(x="error",0>a&&(a=0))),v.status=a,v.statusText=(b||x)+"",j?o.resolveWith(l,[r,x,v]):o.rejectWith(l,[v,x,s]),v.statusCode(q),q=void 0,h&&n.trigger(j?"ajaxSuccess":"ajaxError",[v,k,j?r:s]),p.fireWith(l,[v,x]),h&&(n.trigger("ajaxComplete",[v,k]),--m.active||m.event.trigger("ajaxStop")))}return v},getJSON:function(a,b,c){return m.get(a,b,c,"json")},getScript:function(a,b){return m.get(a,void 0,b,"script")}}),m.each(["get","post"],function(a,b){m[b]=function(a,c,d,e){return m.isFunction(c)&&(e=e||d,d=c,c=void 0),m.ajax({url:a,type:b,dataType:e,data:c,success:d})}}),m._evalUrl=function(a){return m.ajax({url:a,type:"GET",dataType:"script",async:!1,global:!1,"throws":!0})},m.fn.extend({wrapAll:function(a){if(m.isFunction(a))return this.each(function(b){m(this).wrapAll(a.call(this,b))});if(this[0]){var b=m(a,this[0].ownerDocument).eq(0).clone(!0);this[0].parentNode&&b.insertBefore(this[0]),b.map(function(){var a=this;while(a.firstChild&&1===a.firstChild.nodeType)a=a.firstChild;return a}).append(this)}return this},wrapInner:function(a){return this.each(m.isFunction(a)?function(b){m(this).wrapInner(a.call(this,b))}:function(){var b=m(this),c=b.contents();c.length?c.wrapAll(a):b.append(a)})},wrap:function(a){var b=m.isFunction(a);return this.each(function(c){m(this).wrapAll(b?a.call(this,c):a)})},unwrap:function(){return this.parent().each(function(){m.nodeName(this,"body")||m(this).replaceWith(this.childNodes)}).end()}}),m.expr.filters.hidden=function(a){return a.offsetWidth<=0&&a.offsetHeight<=0||!k.reliableHiddenOffsets()&&"none"===(a.style&&a.style.display||m.css(a,"display"))},m.expr.filters.visible=function(a){return!m.expr.filters.hidden(a)};var Qb=/%20/g,Rb=/\[\]$/,Sb=/\r?\n/g,Tb=/^(?:submit|button|image|reset|file)$/i,Ub=/^(?:input|select|textarea|keygen)/i;function Vb(a,b,c,d){var e;if(m.isArray(b))m.each(b,function(b,e){c||Rb.test(a)?d(a,e):Vb(a+"["+("object"==typeof e?b:"")+"]",e,c,d)});else if(c||"object"!==m.type(b))d(a,b);else for(e in b)Vb(a+"["+e+"]",b[e],c,d)}m.param=function(a,b){var c,d=[],e=function(a,b){b=m.isFunction(b)?b():null==b?"":b,d[d.length]=encodeURIComponent(a)+"="+encodeURIComponent(b)};if(void 0===b&&(b=m.ajaxSettings&&m.ajaxSettings.traditional),m.isArray(a)||a.jquery&&!m.isPlainObject(a))m.each(a,function(){e(this.name,this.value)});else for(c in a)Vb(c,a[c],b,e);return d.join("&").replace(Qb,"+")},m.fn.extend({serialize:function(){return m.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var a=m.prop(this,"elements");return a?m.makeArray(a):this}).filter(function(){var a=this.type;return this.name&&!m(this).is(":disabled")&&Ub.test(this.nodeName)&&!Tb.test(a)&&(this.checked||!W.test(a))}).map(function(a,b){var c=m(this).val();return null==c?null:m.isArray(c)?m.map(c,function(a){return{name:b.name,value:a.replace(Sb,"\r\n")}}):{name:b.name,value:c.replace(Sb,"\r\n")}}).get()}}),m.ajaxSettings.xhr=void 0!==a.ActiveXObject?function(){return!this.isLocal&&/^(get|post|head|put|delete|options)$/i.test(this.type)&&Zb()||$b()}:Zb;var Wb=0,Xb={},Yb=m.ajaxSettings.xhr();a.attachEvent&&a.attachEvent("onunload",function(){for(var a in Xb)Xb[a](void 0,!0)}),k.cors=!!Yb&&"withCredentials"in Yb,Yb=k.ajax=!!Yb,Yb&&m.ajaxTransport(function(a){if(!a.crossDomain||k.cors){var b;return{send:function(c,d){var e,f=a.xhr(),g=++Wb;if(f.open(a.type,a.url,a.async,a.username,a.password),a.xhrFields)for(e in a.xhrFields)f[e]=a.xhrFields[e];a.mimeType&&f.overrideMimeType&&f.overrideMimeType(a.mimeType),a.crossDomain||c["X-Requested-With"]||(c["X-Requested-With"]="XMLHttpRequest");for(e in c)void 0!==c[e]&&f.setRequestHeader(e,c[e]+"");f.send(a.hasContent&&a.data||null),b=function(c,e){var h,i,j;if(b&&(e||4===f.readyState))if(delete Xb[g],b=void 0,f.onreadystatechange=m.noop,e)4!==f.readyState&&f.abort();else{j={},h=f.status,"string"==typeof f.responseText&&(j.text=f.responseText);try{i=f.statusText}catch(k){i=""}h||!a.isLocal||a.crossDomain?1223===h&&(h=204):h=j.text?200:404}j&&d(h,i,j,f.getAllResponseHeaders())},a.async?4===f.readyState?setTimeout(b):f.onreadystatechange=Xb[g]=b:b()},abort:function(){b&&b(void 0,!0)}}}});function Zb(){try{return new a.XMLHttpRequest}catch(b){}}function $b(){try{return new a.ActiveXObject("Microsoft.XMLHTTP")}catch(b){}}m.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/(?:java|ecma)script/},converters:{"text script":function(a){return m.globalEval(a),a}}}),m.ajaxPrefilter("script",function(a){void 0===a.cache&&(a.cache=!1),a.crossDomain&&(a.type="GET",a.global=!1)}),m.ajaxTransport("script",function(a){if(a.crossDomain){var b,c=y.head||m("head")[0]||y.documentElement;return{send:function(d,e){b=y.createElement("script"),b.async=!0,a.scriptCharset&&(b.charset=a.scriptCharset),b.src=a.url,b.onload=b.onreadystatechange=function(a,c){(c||!b.readyState||/loaded|complete/.test(b.readyState))&&(b.onload=b.onreadystatechange=null,b.parentNode&&b.parentNode.removeChild(b),b=null,c||e(200,"success"))},c.insertBefore(b,c.firstChild)},abort:function(){b&&b.onload(void 0,!0)}}}});var _b=[],ac=/(=)\?(?=&|$)|\?\?/;m.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var a=_b.pop()||m.expando+"_"+vb++;return this[a]=!0,a}}),m.ajaxPrefilter("json jsonp",function(b,c,d){var e,f,g,h=b.jsonp!==!1&&(ac.test(b.url)?"url":"string"==typeof b.data&&!(b.contentType||"").indexOf("application/x-www-form-urlencoded")&&ac.test(b.data)&&"data");return h||"jsonp"===b.dataTypes[0]?(e=b.jsonpCallback=m.isFunction(b.jsonpCallback)?b.jsonpCallback():b.jsonpCallback,h?b[h]=b[h].replace(ac,"$1"+e):b.jsonp!==!1&&(b.url+=(wb.test(b.url)?"&":"?")+b.jsonp+"="+e),b.converters["script json"]=function(){return g||m.error(e+" was not called"),g[0]},b.dataTypes[0]="json",f=a[e],a[e]=function(){g=arguments},d.always(function(){a[e]=f,b[e]&&(b.jsonpCallback=c.jsonpCallback,_b.push(e)),g&&m.isFunction(f)&&f(g[0]),g=f=void 0}),"script"):void 0}),m.parseHTML=function(a,b,c){if(!a||"string"!=typeof a)return null;"boolean"==typeof b&&(c=b,b=!1),b=b||y;var d=u.exec(a),e=!c&&[];return d?[b.createElement(d[1])]:(d=m.buildFragment([a],b,e),e&&e.length&&m(e).remove(),m.merge([],d.childNodes))};var bc=m.fn.load;m.fn.load=function(a,b,c){if("string"!=typeof a&&bc)return bc.apply(this,arguments);var d,e,f,g=this,h=a.indexOf(" ");return h>=0&&(d=m.trim(a.slice(h,a.length)),a=a.slice(0,h)),m.isFunction(b)?(c=b,b=void 0):b&&"object"==typeof b&&(f="POST"),g.length>0&&m.ajax({url:a,type:f,dataType:"html",data:b}).done(function(a){e=arguments,g.html(d?m("<div>").append(m.parseHTML(a)).find(d):a)}).complete(c&&function(a,b){g.each(c,e||[a.responseText,b,a])}),this},m.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(a,b){m.fn[b]=function(a){return this.on(b,a)}}),m.expr.filters.animated=function(a){return m.grep(m.timers,function(b){return a===b.elem}).length};var cc=a.document.documentElement;function dc(a){return m.isWindow(a)?a:9===a.nodeType?a.defaultView||a.parentWindow:!1}m.offset={setOffset:function(a,b,c){var d,e,f,g,h,i,j,k=m.css(a,"position"),l=m(a),n={};"static"===k&&(a.style.position="relative"),h=l.offset(),f=m.css(a,"top"),i=m.css(a,"left"),j=("absolute"===k||"fixed"===k)&&m.inArray("auto",[f,i])>-1,j?(d=l.position(),g=d.top,e=d.left):(g=parseFloat(f)||0,e=parseFloat(i)||0),m.isFunction(b)&&(b=b.call(a,c,h)),null!=b.top&&(n.top=b.top-h.top+g),null!=b.left&&(n.left=b.left-h.left+e),"using"in b?b.using.call(a,n):l.css(n)}},m.fn.extend({offset:function(a){if(arguments.length)return void 0===a?this:this.each(function(b){m.offset.setOffset(this,a,b)});var b,c,d={top:0,left:0},e=this[0],f=e&&e.ownerDocument;if(f)return b=f.documentElement,m.contains(b,e)?(typeof e.getBoundingClientRect!==K&&(d=e.getBoundingClientRect()),c=dc(f),{top:d.top+(c.pageYOffset||b.scrollTop)-(b.clientTop||0),left:d.left+(c.pageXOffset||b.scrollLeft)-(b.clientLeft||0)}):d},position:function(){if(this[0]){var a,b,c={top:0,left:0},d=this[0];return"fixed"===m.css(d,"position")?b=d.getBoundingClientRect():(a=this.offsetParent(),b=this.offset(),m.nodeName(a[0],"html")||(c=a.offset()),c.top+=m.css(a[0],"borderTopWidth",!0),c.left+=m.css(a[0],"borderLeftWidth",!0)),{top:b.top-c.top-m.css(d,"marginTop",!0),left:b.left-c.left-m.css(d,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var a=this.offsetParent||cc;while(a&&!m.nodeName(a,"html")&&"static"===m.css(a,"position"))a=a.offsetParent;return a||cc})}}),m.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(a,b){var c=/Y/.test(b);m.fn[a]=function(d){return V(this,function(a,d,e){var f=dc(a);return void 0===e?f?b in f?f[b]:f.document.documentElement[d]:a[d]:void(f?f.scrollTo(c?m(f).scrollLeft():e,c?e:m(f).scrollTop()):a[d]=e)},a,d,arguments.length,null)}}),m.each(["top","left"],function(a,b){m.cssHooks[b]=La(k.pixelPosition,function(a,c){return c?(c=Ja(a,b),Ha.test(c)?m(a).position()[b]+"px":c):void 0})}),m.each({Height:"height",Width:"width"},function(a,b){m.each({padding:"inner"+a,content:b,"":"outer"+a},function(c,d){m.fn[d]=function(d,e){var f=arguments.length&&(c||"boolean"!=typeof d),g=c||(d===!0||e===!0?"margin":"border");return V(this,function(b,c,d){var e;return m.isWindow(b)?b.document.documentElement["client"+a]:9===b.nodeType?(e=b.documentElement,Math.max(b.body["scroll"+a],e["scroll"+a],b.body["offset"+a],e["offset"+a],e["client"+a])):void 0===d?m.css(b,c,g):m.style(b,c,d,g)},b,f?d:void 0,f,null)}})}),m.fn.size=function(){return this.length},m.fn.andSelf=m.fn.addBack,"function"==typeof define&&define.amd&&define("jquery",[],function(){return m});var ec=a.jQuery,fc=a.$;return m.noConflict=function(b){return a.$===m&&(a.$=fc),b&&a.jQuery===m&&(a.jQuery=ec),m},typeof b===K&&(a.jQuery=a.$=m),m});
 </script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <style type="text/css">html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:bold}dfn{font-style:italic}h1{font-size:2em;margin:0.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace, monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type="checkbox"],input[type="radio"]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type="number"]::-webkit-inner-spin-button,input[type="number"]::-webkit-outer-spin-button{height:auto}input[type="search"]{-webkit-appearance:textfield;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}input[type="search"]::-webkit-search-cancel-button,input[type="search"]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:0.35em 0.625em 0.75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:bold}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}@media print{*,*:before,*:after{background:transparent !important;color:#000 !important;-webkit-box-shadow:none !important;box-shadow:none !important;text-shadow:none !important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="#"]:after,a[href^="javascript:"]:after{content:""}pre,blockquote{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}tr,img{page-break-inside:avoid}img{max-width:100% !important}p,h2,h3{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000 !important}.label{border:1px solid #000}.table{border-collapse:collapse !important}.table td,.table th{background-color:#fff !important}.table-bordered th,.table-bordered td{border:1px solid #ddd !important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:font/woff;base64,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) format('woff'),url(data:font/ttf;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:normal;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\002a"}.glyphicon-plus:before{content:"\002b"}.glyphicon-euro:before,.glyphicon-eur:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}*:before,*:after{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#555555;background-color:#ffffff}input,button,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#2fa4e7;text-decoration:none}a:hover,a:focus{color:#157ab5;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.img-responsive,.thumbnail>img,.thumbnail a>img,.carousel-inner>.item>img,.carousel-inner>.item>a>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{padding:4px;line-height:1.42857143;background-color:#ffffff;border:1px solid #dddddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out;display:inline-block;max-width:100%;height:auto}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eeeeee}.sr-only{position:absolute;width:1px;height:1px;margin:-1px;padding:0;overflow:hidden;clip:rect(0, 0, 0, 0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role="button"]{cursor:pointer}h1,h2,h3,h4,h5,h6,.h1,.h2,.h3,.h4,.h5,.h6{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-weight:500;line-height:1.2;color:#317eac}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small,.h1 small,.h2 small,.h3 small,.h4 small,.h5 small,.h6 small,h1 .small,h2 .small,h3 .small,h4 .small,h5 .small,h6 .small,.h1 .small,.h2 .small,.h3 .small,.h4 .small,.h5 .small,.h6 .small{font-weight:normal;line-height:1;color:#999999}h1,.h1,h2,.h2,h3,.h3{margin-top:20px;margin-bottom:10px}h1 small,.h1 small,h2 small,.h2 small,h3 small,.h3 small,h1 .small,.h1 .small,h2 .small,.h2 .small,h3 .small,.h3 .small{font-size:65%}h4,.h4,h5,.h5,h6,.h6{margin-top:10px;margin-bottom:10px}h4 small,.h4 small,h5 small,.h5 small,h6 small,.h6 small,h4 .small,.h4 .small,h5 .small,.h5 .small,h6 .small,.h6 .small{font-size:75%}h1,.h1{font-size:36px}h2,.h2{font-size:30px}h3,.h3{font-size:24px}h4,.h4{font-size:18px}h5,.h5{font-size:14px}h6,.h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}small,.small{font-size:85%}mark,.mark{background-color:#fcf8e3;padding:.2em}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#999999}.text-primary{color:#2fa4e7}a.text-primary:hover,a.text-primary:focus{color:#178acc}.text-success{color:#468847}a.text-success:hover,a.text-success:focus{color:#356635}.text-info{color:#3a87ad}a.text-info:hover,a.text-info:focus{color:#2d6987}.text-warning{color:#c09853}a.text-warning:hover,a.text-warning:focus{color:#a47e3c}.text-danger{color:#b94a48}a.text-danger:hover,a.text-danger:focus{color:#953b39}.bg-primary{color:#fff;background-color:#2fa4e7}a.bg-primary:hover,a.bg-primary:focus{background-color:#178acc}.bg-success{background-color:#dff0d8}a.bg-success:hover,a.bg-success:focus{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:hover,a.bg-info:focus{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:hover,a.bg-warning:focus{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:hover,a.bg-danger:focus{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eeeeee}ul,ol{margin-top:0;margin-bottom:10px}ul ul,ol ul,ul ol,ol ol{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none;margin-left:-5px}.list-inline>li{display:inline-block;padding-left:5px;padding-right:5px}dl{margin-top:0;margin-bottom:20px}dt,dd{line-height:1.42857143}dt{font-weight:bold}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;clear:left;text-align:right;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[title],abbr[data-original-title]{cursor:help;border-bottom:1px dotted #999999}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eeeeee}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}blockquote footer,blockquote small,blockquote .small{display:block;font-size:80%;line-height:1.42857143;color:#999999}blockquote footer:before,blockquote small:before,blockquote .small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;border-right:5px solid #eeeeee;border-left:0;text-align:right}.blockquote-reverse footer:before,blockquote.pull-right footer:before,.blockquote-reverse small:before,blockquote.pull-right small:before,.blockquote-reverse .small:before,blockquote.pull-right .small:before{content:''}.blockquote-reverse footer:after,blockquote.pull-right footer:after,.blockquote-reverse small:after,blockquote.pull-right small:after,.blockquote-reverse .small:after,blockquote.pull-right .small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#ffffff;background-color:#333333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.25)}kbd kbd{padding:0;font-size:100%;font-weight:bold;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;word-break:break-all;word-wrap:break-word;color:#333333;background-color:#f5f5f5;border:1px solid #cccccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{margin-right:auto;margin-left:auto;padding-left:15px;padding-right:15px}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{margin-right:auto;margin-left:auto;padding-left:15px;padding-right:15px}.row{margin-left:-15px;margin-right:-15px}.col-xs-1,.col-sm-1,.col-md-1,.col-lg-1,.col-xs-2,.col-sm-2,.col-md-2,.col-lg-2,.col-xs-3,.col-sm-3,.col-md-3,.col-lg-3,.col-xs-4,.col-sm-4,.col-md-4,.col-lg-4,.col-xs-5,.col-sm-5,.col-md-5,.col-lg-5,.col-xs-6,.col-sm-6,.col-md-6,.col-lg-6,.col-xs-7,.col-sm-7,.col-md-7,.col-lg-7,.col-xs-8,.col-sm-8,.col-md-8,.col-lg-8,.col-xs-9,.col-sm-9,.col-md-9,.col-lg-9,.col-xs-10,.col-sm-10,.col-md-10,.col-lg-10,.col-xs-11,.col-sm-11,.col-md-11,.col-lg-11,.col-xs-12,.col-sm-12,.col-md-12,.col-lg-12{position:relative;min-height:1px;padding-left:15px;padding-right:15px}.col-xs-1,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9,.col-xs-10,.col-xs-11,.col-xs-12{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0%}@media (min-width:768px){.col-sm-1,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-sm-10,.col-sm-11,.col-sm-12{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0%}}@media (min-width:992px){.col-md-1,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-md-10,.col-md-11,.col-md-12{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0%}}@media (min-width:1200px){.col-lg-1,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-lg-10,.col-lg-11,.col-lg-12{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0%}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#999999;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>thead>tr>th,.table>tbody>tr>th,.table>tfoot>tr>th,.table>thead>tr>td,.table>tbody>tr>td,.table>tfoot>tr>td{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #dddddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #dddddd}.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>th,.table>caption+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>td,.table>thead:first-child>tr:first-child>td{border-top:0}.table>tbody+tbody{border-top:2px solid #dddddd}.table .table{background-color:#ffffff}.table-condensed>thead>tr>th,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>tbody>tr>td,.table-condensed>tfoot>tr>td{padding:5px}.table-bordered{border:1px solid #dddddd}.table-bordered>thead>tr>th,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>tbody>tr>td,.table-bordered>tfoot>tr>td{border:1px solid #dddddd}.table-bordered>thead>tr>th,.table-bordered>thead>tr>td{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*="col-"]{position:static;float:none;display:table-column}table td[class*="col-"],table th[class*="col-"]{position:static;float:none;display:table-cell}.table>thead>tr>td.active,.table>tbody>tr>td.active,.table>tfoot>tr>td.active,.table>thead>tr>th.active,.table>tbody>tr>th.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>tbody>tr.active>td,.table>tfoot>tr.active>td,.table>thead>tr.active>th,.table>tbody>tr.active>th,.table>tfoot>tr.active>th{background-color:#f5f5f5}.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover,.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr.active:hover>th{background-color:#e8e8e8}.table>thead>tr>td.success,.table>tbody>tr>td.success,.table>tfoot>tr>td.success,.table>thead>tr>th.success,.table>tbody>tr>th.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>tbody>tr.success>td,.table>tfoot>tr.success>td,.table>thead>tr.success>th,.table>tbody>tr.success>th,.table>tfoot>tr.success>th{background-color:#dff0d8}.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover,.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr.success:hover>th{background-color:#d0e9c6}.table>thead>tr>td.info,.table>tbody>tr>td.info,.table>tfoot>tr>td.info,.table>thead>tr>th.info,.table>tbody>tr>th.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>tbody>tr.info>td,.table>tfoot>tr.info>td,.table>thead>tr.info>th,.table>tbody>tr.info>th,.table>tfoot>tr.info>th{background-color:#d9edf7}.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover,.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr.info:hover>th{background-color:#c4e3f3}.table>thead>tr>td.warning,.table>tbody>tr>td.warning,.table>tfoot>tr>td.warning,.table>thead>tr>th.warning,.table>tbody>tr>th.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>tbody>tr.warning>td,.table>tfoot>tr.warning>td,.table>thead>tr.warning>th,.table>tbody>tr.warning>th,.table>tfoot>tr.warning>th{background-color:#fcf8e3}.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover,.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr.warning:hover>th{background-color:#faf2cc}.table>thead>tr>td.danger,.table>tbody>tr>td.danger,.table>tfoot>tr>td.danger,.table>thead>tr>th.danger,.table>tbody>tr>th.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>tbody>tr.danger>td,.table>tfoot>tr.danger>td,.table>thead>tr.danger>th,.table>tbody>tr.danger>th,.table>tfoot>tr.danger>th{background-color:#f2dede}.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover,.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr.danger:hover>th{background-color:#ebcccc}.table-responsive{overflow-x:auto;min-height:0.01%}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #dddddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>thead>tr>th,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tfoot>tr>td{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>thead>tr>th:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child{border-left:0}.table-responsive>.table-bordered>thead>tr>th:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>th,.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>td{border-bottom:0}}fieldset{padding:0;margin:0;border:0;min-width:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#555555;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:bold}input[type="search"]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type="radio"],input[type="checkbox"]{margin:4px 0 0;margin-top:1px \9;line-height:normal}input[type="file"]{display:block}input[type="range"]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:9px;font-size:14px;line-height:1.42857143;color:#555555}.form-control{display:block;width:100%;height:38px;padding:8px 12px;font-size:14px;line-height:1.42857143;color:#555555;background-color:#ffffff;background-image:none;border:1px solid #cccccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(102,175,233,0.6);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(102,175,233,0.6)}.form-control::-moz-placeholder{color:#999999;opacity:1}.form-control:-ms-input-placeholder{color:#999999}.form-control::-webkit-input-placeholder{color:#999999}.form-control::-ms-expand{border:0;background-color:transparent}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eeeeee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type="search"]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type="date"].form-control,input[type="time"].form-control,input[type="datetime-local"].form-control,input[type="month"].form-control{line-height:38px}input[type="date"].input-sm,input[type="time"].input-sm,input[type="datetime-local"].input-sm,input[type="month"].input-sm,.input-group-sm input[type="date"],.input-group-sm input[type="time"],.input-group-sm input[type="datetime-local"],.input-group-sm input[type="month"]{line-height:30px}input[type="date"].input-lg,input[type="time"].input-lg,input[type="datetime-local"].input-lg,input[type="month"].input-lg,.input-group-lg input[type="date"],.input-group-lg input[type="time"],.input-group-lg input[type="datetime-local"],.input-group-lg input[type="month"]{line-height:54px}}.form-group{margin-bottom:15px}.radio,.checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.radio label,.checkbox label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:normal;cursor:pointer}.radio input[type="radio"],.radio-inline input[type="radio"],.checkbox input[type="checkbox"],.checkbox-inline input[type="checkbox"]{position:absolute;margin-left:-20px;margin-top:4px \9}.radio+.radio,.checkbox+.checkbox{margin-top:-5px}.radio-inline,.checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;vertical-align:middle;font-weight:normal;cursor:pointer}.radio-inline+.radio-inline,.checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"].disabled,input[type="checkbox"].disabled,fieldset[disabled] input[type="radio"],fieldset[disabled] input[type="checkbox"]{cursor:not-allowed}.radio-inline.disabled,.checkbox-inline.disabled,fieldset[disabled] .radio-inline,fieldset[disabled] .checkbox-inline{cursor:not-allowed}.radio.disabled label,.checkbox.disabled label,fieldset[disabled] .radio label,fieldset[disabled] .checkbox label{cursor:not-allowed}.form-control-static{padding-top:9px;padding-bottom:9px;margin-bottom:0;min-height:34px}.form-control-static.input-lg,.form-control-static.input-sm{padding-left:0;padding-right:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}textarea.input-sm,select[multiple].input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm textarea.form-control,.form-group-sm select[multiple].form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:54px;padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:54px;line-height:54px}textarea.input-lg,select[multiple].input-lg{height:auto}.form-group-lg .form-control{height:54px;padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:54px;line-height:54px}.form-group-lg textarea.form-control,.form-group-lg select[multiple].form-control{height:auto}.form-group-lg .form-control-static{height:54px;min-height:38px;padding:15px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:47.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:38px;height:38px;line-height:38px;text-align:center;pointer-events:none}.input-lg+.form-control-feedback,.input-group-lg+.form-control-feedback,.form-group-lg .form-control+.form-control-feedback{width:54px;height:54px;line-height:54px}.input-sm+.form-control-feedback,.input-group-sm+.form-control-feedback,.form-group-sm .form-control+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .help-block,.has-success .control-label,.has-success .radio,.has-success .checkbox,.has-success .radio-inline,.has-success .checkbox-inline,.has-success.radio label,.has-success.checkbox label,.has-success.radio-inline label,.has-success.checkbox-inline label{color:#468847}.has-success .form-control{border-color:#468847;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-success .form-control:focus{border-color:#356635;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b}.has-success .input-group-addon{color:#468847;border-color:#468847;background-color:#dff0d8}.has-success .form-control-feedback{color:#468847}.has-warning .help-block,.has-warning .control-label,.has-warning .radio,.has-warning .checkbox,.has-warning .radio-inline,.has-warning .checkbox-inline,.has-warning.radio label,.has-warning.checkbox label,.has-warning.radio-inline label,.has-warning.checkbox-inline label{color:#c09853}.has-warning .form-control{border-color:#c09853;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-warning .form-control:focus{border-color:#a47e3c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e}.has-warning .input-group-addon{color:#c09853;border-color:#c09853;background-color:#fcf8e3}.has-warning .form-control-feedback{color:#c09853}.has-error .help-block,.has-error .control-label,.has-error .radio,.has-error .checkbox,.has-error .radio-inline,.has-error .checkbox-inline,.has-error.radio label,.has-error.checkbox label,.has-error.radio-inline label,.has-error.checkbox-inline label{color:#b94a48}.has-error .form-control{border-color:#b94a48;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-error .form-control:focus{border-color:#953b39;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392}.has-error .input-group-addon{color:#b94a48;border-color:#b94a48;background-color:#f2dede}.has-error .form-control-feedback{color:#b94a48}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#959595}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn,.form-inline .input-group .form-control{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .radio,.form-inline .checkbox{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .radio label,.form-inline .checkbox label{padding-left:0}.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .radio,.form-horizontal .checkbox,.form-horizontal .radio-inline,.form-horizontal .checkbox-inline{margin-top:0;margin-bottom:0;padding-top:9px}.form-horizontal .radio,.form-horizontal .checkbox{min-height:29px}.form-horizontal .form-group{margin-left:-15px;margin-right:-15px}@media (min-width:768px){.form-horizontal .control-label{text-align:right;margin-bottom:0;padding-top:9px}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:15px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;margin-bottom:0;font-weight:normal;text-align:center;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;background-image:none;border:1px solid transparent;white-space:nowrap;padding:8px 12px;font-size:14px;line-height:1.42857143;border-radius:4px;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.btn:focus,.btn:active:focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn.active.focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn:hover,.btn:focus,.btn.focus{color:#555555;text-decoration:none}.btn:active,.btn.active{outline:0;background-image:none;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,0.125);box-shadow:inset 0 3px 5px rgba(0,0,0,0.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;opacity:0.65;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#555555;background-color:#ffffff;border-color:rgba(0,0,0,0.1)}.btn-default:focus,.btn-default.focus{color:#555555;background-color:#e6e6e6;border-color:rgba(0,0,0,0.1)}.btn-default:hover{color:#555555;background-color:#e6e6e6;border-color:rgba(0,0,0,0.1)}.btn-default:active,.btn-default.active,.open>.dropdown-toggle.btn-default{color:#555555;background-color:#e6e6e6;border-color:rgba(0,0,0,0.1)}.btn-default:active:hover,.btn-default.active:hover,.open>.dropdown-toggle.btn-default:hover,.btn-default:active:focus,.btn-default.active:focus,.open>.dropdown-toggle.btn-default:focus,.btn-default:active.focus,.btn-default.active.focus,.open>.dropdown-toggle.btn-default.focus{color:#555555;background-color:#d4d4d4;border-color:rgba(0,0,0,0.1)}.btn-default:active,.btn-default.active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled:hover,.btn-default[disabled]:hover,fieldset[disabled] .btn-default:hover,.btn-default.disabled:focus,.btn-default[disabled]:focus,fieldset[disabled] .btn-default:focus,.btn-default.disabled.focus,.btn-default[disabled].focus,fieldset[disabled] .btn-default.focus{background-color:#ffffff;border-color:rgba(0,0,0,0.1)}.btn-default .badge{color:#ffffff;background-color:#555555}.btn-primary{color:#ffffff;background-color:#2fa4e7;border-color:#2fa4e7}.btn-primary:focus,.btn-primary.focus{color:#ffffff;background-color:#178acc;border-color:#105b87}.btn-primary:hover{color:#ffffff;background-color:#178acc;border-color:#1684c2}.btn-primary:active,.btn-primary.active,.open>.dropdown-toggle.btn-primary{color:#ffffff;background-color:#178acc;border-color:#1684c2}.btn-primary:active:hover,.btn-primary.active:hover,.open>.dropdown-toggle.btn-primary:hover,.btn-primary:active:focus,.btn-primary.active:focus,.open>.dropdown-toggle.btn-primary:focus,.btn-primary:active.focus,.btn-primary.active.focus,.open>.dropdown-toggle.btn-primary.focus{color:#ffffff;background-color:#1474ac;border-color:#105b87}.btn-primary:active,.btn-primary.active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled:hover,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary:hover,.btn-primary.disabled:focus,.btn-primary[disabled]:focus,fieldset[disabled] .btn-primary:focus,.btn-primary.disabled.focus,.btn-primary[disabled].focus,fieldset[disabled] .btn-primary.focus{background-color:#2fa4e7;border-color:#2fa4e7}.btn-primary .badge{color:#2fa4e7;background-color:#ffffff}.btn-success{color:#ffffff;background-color:#73a839;border-color:#73a839}.btn-success:focus,.btn-success.focus{color:#ffffff;background-color:#59822c;border-color:#324919}.btn-success:hover{color:#ffffff;background-color:#59822c;border-color:#547a29}.btn-success:active,.btn-success.active,.open>.dropdown-toggle.btn-success{color:#ffffff;background-color:#59822c;border-color:#547a29}.btn-success:active:hover,.btn-success.active:hover,.open>.dropdown-toggle.btn-success:hover,.btn-success:active:focus,.btn-success.active:focus,.open>.dropdown-toggle.btn-success:focus,.btn-success:active.focus,.btn-success.active.focus,.open>.dropdown-toggle.btn-success.focus{color:#ffffff;background-color:#476723;border-color:#324919}.btn-success:active,.btn-success.active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled:hover,.btn-success[disabled]:hover,fieldset[disabled] .btn-success:hover,.btn-success.disabled:focus,.btn-success[disabled]:focus,fieldset[disabled] .btn-success:focus,.btn-success.disabled.focus,.btn-success[disabled].focus,fieldset[disabled] .btn-success.focus{background-color:#73a839;border-color:#73a839}.btn-success .badge{color:#73a839;background-color:#ffffff}.btn-info{color:#ffffff;background-color:#033c73;border-color:#033c73}.btn-info:focus,.btn-info.focus{color:#ffffff;background-color:#022241;border-color:#000000}.btn-info:hover{color:#ffffff;background-color:#022241;border-color:#011d37}.btn-info:active,.btn-info.active,.open>.dropdown-toggle.btn-info{color:#ffffff;background-color:#022241;border-color:#011d37}.btn-info:active:hover,.btn-info.active:hover,.open>.dropdown-toggle.btn-info:hover,.btn-info:active:focus,.btn-info.active:focus,.open>.dropdown-toggle.btn-info:focus,.btn-info:active.focus,.btn-info.active.focus,.open>.dropdown-toggle.btn-info.focus{color:#ffffff;background-color:#01101f;border-color:#000000}.btn-info:active,.btn-info.active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled:hover,.btn-info[disabled]:hover,fieldset[disabled] .btn-info:hover,.btn-info.disabled:focus,.btn-info[disabled]:focus,fieldset[disabled] .btn-info:focus,.btn-info.disabled.focus,.btn-info[disabled].focus,fieldset[disabled] .btn-info.focus{background-color:#033c73;border-color:#033c73}.btn-info .badge{color:#033c73;background-color:#ffffff}.btn-warning{color:#ffffff;background-color:#dd5600;border-color:#dd5600}.btn-warning:focus,.btn-warning.focus{color:#ffffff;background-color:#aa4200;border-color:#5e2400}.btn-warning:hover{color:#ffffff;background-color:#aa4200;border-color:#a03e00}.btn-warning:active,.btn-warning.active,.open>.dropdown-toggle.btn-warning{color:#ffffff;background-color:#aa4200;border-color:#a03e00}.btn-warning:active:hover,.btn-warning.active:hover,.open>.dropdown-toggle.btn-warning:hover,.btn-warning:active:focus,.btn-warning.active:focus,.open>.dropdown-toggle.btn-warning:focus,.btn-warning:active.focus,.btn-warning.active.focus,.open>.dropdown-toggle.btn-warning.focus{color:#ffffff;background-color:#863400;border-color:#5e2400}.btn-warning:active,.btn-warning.active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled:hover,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning:hover,.btn-warning.disabled:focus,.btn-warning[disabled]:focus,fieldset[disabled] .btn-warning:focus,.btn-warning.disabled.focus,.btn-warning[disabled].focus,fieldset[disabled] .btn-warning.focus{background-color:#dd5600;border-color:#dd5600}.btn-warning .badge{color:#dd5600;background-color:#ffffff}.btn-danger{color:#ffffff;background-color:#c71c22;border-color:#c71c22}.btn-danger:focus,.btn-danger.focus{color:#ffffff;background-color:#9a161a;border-color:#570c0f}.btn-danger:hover{color:#ffffff;background-color:#9a161a;border-color:#911419}.btn-danger:active,.btn-danger.active,.open>.dropdown-toggle.btn-danger{color:#ffffff;background-color:#9a161a;border-color:#911419}.btn-danger:active:hover,.btn-danger.active:hover,.open>.dropdown-toggle.btn-danger:hover,.btn-danger:active:focus,.btn-danger.active:focus,.open>.dropdown-toggle.btn-danger:focus,.btn-danger:active.focus,.btn-danger.active.focus,.open>.dropdown-toggle.btn-danger.focus{color:#ffffff;background-color:#7b1115;border-color:#570c0f}.btn-danger:active,.btn-danger.active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled:hover,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger:hover,.btn-danger.disabled:focus,.btn-danger[disabled]:focus,fieldset[disabled] .btn-danger:focus,.btn-danger.disabled.focus,.btn-danger[disabled].focus,fieldset[disabled] .btn-danger.focus{background-color:#c71c22;border-color:#c71c22}.btn-danger .badge{color:#c71c22;background-color:#ffffff}.btn-link{color:#2fa4e7;font-weight:normal;border-radius:0}.btn-link,.btn-link:active,.btn-link.active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:hover,.btn-link:focus,.btn-link:active{border-color:transparent}.btn-link:hover,.btn-link:focus{color:#157ab5;text-decoration:underline;background-color:transparent}.btn-link[disabled]:hover,fieldset[disabled] .btn-link:hover,.btn-link[disabled]:focus,fieldset[disabled] .btn-link:focus{color:#999999;text-decoration:none}.btn-lg,.btn-group-lg>.btn{padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-sm,.btn-group-sm>.btn{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-xs,.btn-group-xs>.btn{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type="submit"].btn-block,input[type="reset"].btn-block,input[type="button"].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity 0.15s linear;-o-transition:opacity 0.15s linear;transition:opacity 0.15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-property:height, visibility;-o-transition-property:height, visibility;transition-property:height, visibility;-webkit-transition-duration:0.35s;-o-transition-duration:0.35s;transition-duration:0.35s;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid \9;border-right:4px solid transparent;border-left:4px solid transparent}.dropup,.dropdown{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;font-size:14px;text-align:left;background-color:#ffffff;border:1px solid #cccccc;border:1px solid rgba(0,0,0,0.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,0.175);box-shadow:0 6px 12px rgba(0,0,0,0.175);-webkit-background-clip:padding-box;background-clip:padding-box}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:1.42857143;color:#333333;white-space:nowrap}.dropdown-menu>li>a:hover,.dropdown-menu>li>a:focus{text-decoration:none;color:#ffffff;background-color:#2fa4e7}.dropdown-menu>.active>a,.dropdown-menu>.active>a:hover,.dropdown-menu>.active>a:focus{color:#ffffff;text-decoration:none;outline:0;background-color:#2fa4e7}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{color:#999999}.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{text-decoration:none;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false);cursor:not-allowed}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{left:auto;right:0}.dropdown-menu-left{left:0;right:auto}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#999999;white-space:nowrap}.dropdown-backdrop{position:fixed;left:0;right:0;bottom:0;top:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px dashed;border-bottom:4px solid \9;content:""}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{left:auto;right:0}.navbar-right .dropdown-menu-left{left:0;right:auto}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;float:left}.btn-group>.btn:hover,.btn-group-vertical>.btn:hover,.btn-group>.btn:focus,.btn-group-vertical>.btn:focus,.btn-group>.btn:active,.btn-group-vertical>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn.active{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-bottom-right-radius:0;border-top-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-bottom-left-radius:0;border-top-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-top-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-bottom-left-radius:0;border-top-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-left:8px;padding-right:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-left:12px;padding-right:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,0.125);box-shadow:inset 0 3px 5px rgba(0,0,0,0.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-top-left-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-right-radius:0;border-top-left-radius:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-right-radius:0;border-top-left-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{float:none;display:table-cell;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle="buttons"]>.btn input[type="radio"],[data-toggle="buttons"]>.btn-group>.btn input[type="radio"],[data-toggle="buttons"]>.btn input[type="checkbox"],[data-toggle="buttons"]>.btn-group>.btn input[type="checkbox"]{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*="col-"]{float:none;padding-left:0;padding-right:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group .form-control:focus{z-index:3}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:54px;padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:54px;line-height:54px}textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn,select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn,select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn{height:auto}.input-group-addon,.input-group-btn,.input-group .form-control{display:table-cell}.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child),.input-group .form-control:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:8px 12px;font-size:14px;font-weight:normal;line-height:1;color:#555555;text-align:center;background-color:#eeeeee;border:1px solid #cccccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:14px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type="radio"],.input-group-addon input[type="checkbox"]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle),.input-group-btn:last-child>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-top-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:first-child>.btn-group:not(:first-child)>.btn{border-bottom-left-radius:0;border-top-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:hover,.input-group-btn>.btn:focus,.input-group-btn>.btn:active{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{margin-bottom:0;padding-left:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:hover,.nav>li>a:focus{text-decoration:none;background-color:#eeeeee}.nav>li.disabled>a{color:#999999}.nav>li.disabled>a:hover,.nav>li.disabled>a:focus{color:#999999;text-decoration:none;background-color:transparent;cursor:not-allowed}.nav .open>a,.nav .open>a:hover,.nav .open>a:focus{background-color:#eeeeee;border-color:#2fa4e7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #dddddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eeeeee #eeeeee #dddddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:hover,.nav-tabs>li.active>a:focus{color:#555555;background-color:#ffffff;border:1px solid #dddddd;border-bottom-color:transparent;cursor:default}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{text-align:center;margin-bottom:5px}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border:1px solid #dddddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #dddddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border-bottom-color:#ffffff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:hover,.nav-pills>li.active>a:focus{color:#ffffff;background-color:#2fa4e7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{text-align:center;margin-bottom:5px}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:hover,.nav-tabs-justified>.active>a:focus{border:1px solid #dddddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #dddddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:hover,.nav-tabs-justified>.active>a:focus{border-bottom-color:#ffffff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-right-radius:0;border-top-left-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{overflow-x:visible;padding-right:15px;padding-left:15px;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1);-webkit-overflow-scrolling:touch}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block !important;height:auto !important;padding-bottom:0;overflow:visible !important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{padding-left:0;padding-right:0}}.navbar-fixed-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{max-height:200px}}.container>.navbar-header,.container-fluid>.navbar-header,.container>.navbar-collapse,.container-fluid>.navbar-collapse{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container>.navbar-header,.container-fluid>.navbar-header,.container>.navbar-collapse,.container-fluid>.navbar-collapse{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-top,.navbar-fixed-bottom{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;padding:15px 15px;font-size:18px;line-height:20px;height:50px}.navbar-brand:hover,.navbar-brand:focus{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;margin-right:15px;padding:9px 10px;margin-top:8px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu>li>a,.navbar-nav .open .dropdown-menu .dropdown-header{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:hover,.navbar-nav .open .dropdown-menu>li>a:focus{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{margin-left:-15px;margin-right:-15px;padding:10px 15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);margin-top:6px;margin-bottom:6px}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn,.navbar-form .input-group .form-control{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .radio,.navbar-form .checkbox{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .radio label,.navbar-form .checkbox label{padding-left:0}.navbar-form .radio input[type="radio"],.navbar-form .checkbox input[type="checkbox"]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;border:0;margin-left:0;margin-right:0;padding-top:0;padding-bottom:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-right-radius:0;border-top-left-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-right-radius:4px;border-top-left-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:6px;margin-bottom:6px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-left:15px;margin-right:15px}}@media (min-width:768px){.navbar-left{float:left !important}.navbar-right{float:right !important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#2fa4e7;border-color:#1995dc}.navbar-default .navbar-brand{color:#ffffff}.navbar-default .navbar-brand:hover,.navbar-default .navbar-brand:focus{color:#ffffff;background-color:none}.navbar-default .navbar-text{color:#dddddd}.navbar-default .navbar-nav>li>a{color:#ffffff}.navbar-default .navbar-nav>li>a:hover,.navbar-default .navbar-nav>li>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:hover,.navbar-default .navbar-nav>.active>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:hover,.navbar-default .navbar-nav>.disabled>a:focus{color:#dddddd;background-color:transparent}.navbar-default .navbar-toggle{border-color:#178acc}.navbar-default .navbar-toggle:hover,.navbar-default .navbar-toggle:focus{background-color:#178acc}.navbar-default .navbar-toggle .icon-bar{background-color:#ffffff}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#1995dc}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:hover,.navbar-default .navbar-nav>.open>a:focus{background-color:#178acc;color:#ffffff}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#ffffff}.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus{color:#dddddd;background-color:transparent}}.navbar-default .navbar-link{color:#ffffff}.navbar-default .navbar-link:hover{color:#ffffff}.navbar-default .btn-link{color:#ffffff}.navbar-default .btn-link:hover,.navbar-default .btn-link:focus{color:#ffffff}.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:hover,.navbar-default .btn-link[disabled]:focus,fieldset[disabled] .navbar-default .btn-link:focus{color:#dddddd}.navbar-inverse{background-color:#033c73;border-color:#022f5a}.navbar-inverse .navbar-brand{color:#ffffff}.navbar-inverse .navbar-brand:hover,.navbar-inverse .navbar-brand:focus{color:#ffffff;background-color:none}.navbar-inverse .navbar-text{color:#ffffff}.navbar-inverse .navbar-nav>li>a{color:#ffffff}.navbar-inverse .navbar-nav>li>a:hover,.navbar-inverse .navbar-nav>li>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:hover,.navbar-inverse .navbar-nav>.active>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:hover,.navbar-inverse .navbar-nav>.disabled>a:focus{color:#cccccc;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#022f5a}.navbar-inverse .navbar-toggle:hover,.navbar-inverse .navbar-toggle:focus{background-color:#022f5a}.navbar-inverse .navbar-toggle .icon-bar{background-color:#ffffff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#022a50}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:hover,.navbar-inverse .navbar-nav>.open>a:focus{background-color:#022f5a;color:#ffffff}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#ffffff}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus{color:#cccccc;background-color:transparent}}.navbar-inverse .navbar-link{color:#ffffff}.navbar-inverse .navbar-link:hover{color:#ffffff}.navbar-inverse .btn-link{color:#ffffff}.navbar-inverse .btn-link:hover,.navbar-inverse .btn-link:focus{color:#ffffff}.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:hover,.navbar-inverse .btn-link[disabled]:focus,fieldset[disabled] .navbar-inverse .btn-link:focus{color:#cccccc}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{content:"/\00a0";padding:0 5px;color:#cccccc}.breadcrumb>.active{color:#999999}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:8px 12px;line-height:1.42857143;text-decoration:none;color:#2fa4e7;background-color:#ffffff;border:1px solid #dddddd;margin-left:-1px}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-bottom-left-radius:4px;border-top-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-bottom-right-radius:4px;border-top-right-radius:4px}.pagination>li>a:hover,.pagination>li>span:hover,.pagination>li>a:focus,.pagination>li>span:focus{z-index:2;color:#157ab5;background-color:#eeeeee;border-color:#dddddd}.pagination>.active>a,.pagination>.active>span,.pagination>.active>a:hover,.pagination>.active>span:hover,.pagination>.active>a:focus,.pagination>.active>span:focus{z-index:3;color:#999999;background-color:#f5f5f5;border-color:#dddddd;cursor:default}.pagination>.disabled>span,.pagination>.disabled>span:hover,.pagination>.disabled>span:focus,.pagination>.disabled>a,.pagination>.disabled>a:hover,.pagination>.disabled>a:focus{color:#999999;background-color:#ffffff;border-color:#dddddd;cursor:not-allowed}.pagination-lg>li>a,.pagination-lg>li>span{padding:14px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-bottom-left-radius:6px;border-top-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-bottom-right-radius:6px;border-top-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-bottom-left-radius:3px;border-top-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-bottom-right-radius:3px;border-top-right-radius:3px}.pager{padding-left:0;margin:20px 0;list-style:none;text-align:center}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#ffffff;border:1px solid #dddddd;border-radius:15px}.pager li>a:hover,.pager li>a:focus{text-decoration:none;background-color:#eeeeee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:hover,.pager .disabled>a:focus,.pager .disabled>span{color:#999999;background-color:#ffffff;cursor:not-allowed}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:bold;line-height:1;color:#ffffff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:hover,a.label:focus{color:#ffffff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#999999}.label-default[href]:hover,.label-default[href]:focus{background-color:#808080}.label-primary{background-color:#2fa4e7}.label-primary[href]:hover,.label-primary[href]:focus{background-color:#178acc}.label-success{background-color:#73a839}.label-success[href]:hover,.label-success[href]:focus{background-color:#59822c}.label-info{background-color:#033c73}.label-info[href]:hover,.label-info[href]:focus{background-color:#022241}.label-warning{background-color:#dd5600}.label-warning[href]:hover,.label-warning[href]:focus{background-color:#aa4200}.label-danger{background-color:#c71c22}.label-danger[href]:hover,.label-danger[href]:focus{background-color:#9a161a}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:bold;color:#ffffff;line-height:1;vertical-align:middle;white-space:nowrap;text-align:center;background-color:#2fa4e7;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-xs .badge,.btn-group-xs>.btn .badge{top:0;padding:1px 5px}a.badge:hover,a.badge:focus{color:#ffffff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#2fa4e7;background-color:#ffffff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eeeeee}.jumbotron h1,.jumbotron .h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px;padding-left:15px;padding-right:15px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-left:60px;padding-right:60px}.jumbotron h1,.jumbotron .h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#ffffff;border:1px solid #dddddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail>img,.thumbnail a>img{margin-left:auto;margin-right:auto}a.thumbnail:hover,a.thumbnail:focus,a.thumbnail.active{border-color:#2fa4e7}.thumbnail .caption{padding:9px;color:#555555}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:bold}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{background-color:#dff0d8;border-color:#d6e9c6;color:#468847}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#356635}.alert-info{background-color:#d9edf7;border-color:#bce8f1;color:#3a87ad}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#2d6987}.alert-warning{background-color:#fcf8e3;border-color:#fbeed5;color:#c09853}.alert-warning hr{border-top-color:#f8e5be}.alert-warning .alert-link{color:#a47e3c}.alert-danger{background-color:#f2dede;border-color:#eed3d7;color:#b94a48}.alert-danger hr{border-top-color:#e6c1c7}.alert-danger .alert-link{color:#953b39}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{overflow:hidden;height:20px;margin-bottom:20px;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1)}.progress-bar{float:left;width:0%;height:100%;font-size:12px;line-height:20px;color:#ffffff;text-align:center;background-color:#2fa4e7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-webkit-transition:width 0.6s ease;-o-transition:width 0.6s ease;transition:width 0.6s ease}.progress-striped .progress-bar,.progress-bar-striped{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress.active .progress-bar,.progress-bar.active{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#73a839}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-info{background-color:#033c73}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-warning{background-color:#dd5600}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-danger{background-color:#c71c22}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{zoom:1;overflow:hidden}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-left,.media-right,.media-body{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{margin-bottom:20px;padding-left:0}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#ffffff;border:1px solid #dddddd}.list-group-item:first-child{border-top-right-radius:4px;border-top-left-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333333}a.list-group-item:hover,button.list-group-item:hover,a.list-group-item:focus,button.list-group-item:focus{text-decoration:none;color:#555555;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:hover,.list-group-item.disabled:focus{background-color:#eeeeee;color:#999999;cursor:not-allowed}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text{color:#999999}.list-group-item.active,.list-group-item.active:hover,.list-group-item.active:focus{z-index:2;color:#ffffff;background-color:#2fa4e7;border-color:#2fa4e7}.list-group-item.active .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>.small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:hover .list-group-item-text,.list-group-item.active:focus .list-group-item-text{color:#e6f4fc}.list-group-item-success{color:#468847;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#468847}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:hover,button.list-group-item-success:hover,a.list-group-item-success:focus,button.list-group-item-success:focus{color:#468847;background-color:#d0e9c6}a.list-group-item-success.active,button.list-group-item-success.active,a.list-group-item-success.active:hover,button.list-group-item-success.active:hover,a.list-group-item-success.active:focus,button.list-group-item-success.active:focus{color:#fff;background-color:#468847;border-color:#468847}.list-group-item-info{color:#3a87ad;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#3a87ad}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:hover,button.list-group-item-info:hover,a.list-group-item-info:focus,button.list-group-item-info:focus{color:#3a87ad;background-color:#c4e3f3}a.list-group-item-info.active,button.list-group-item-info.active,a.list-group-item-info.active:hover,button.list-group-item-info.active:hover,a.list-group-item-info.active:focus,button.list-group-item-info.active:focus{color:#fff;background-color:#3a87ad;border-color:#3a87ad}.list-group-item-warning{color:#c09853;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#c09853}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:hover,button.list-group-item-warning:hover,a.list-group-item-warning:focus,button.list-group-item-warning:focus{color:#c09853;background-color:#faf2cc}a.list-group-item-warning.active,button.list-group-item-warning.active,a.list-group-item-warning.active:hover,button.list-group-item-warning.active:hover,a.list-group-item-warning.active:focus,button.list-group-item-warning.active:focus{color:#fff;background-color:#c09853;border-color:#c09853}.list-group-item-danger{color:#b94a48;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#b94a48}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:hover,button.list-group-item-danger:hover,a.list-group-item-danger:focus,button.list-group-item-danger:focus{color:#b94a48;background-color:#ebcccc}a.list-group-item-danger.active,button.list-group-item-danger.active,a.list-group-item-danger.active:hover,button.list-group-item-danger.active:hover,a.list-group-item-danger.active:focus,button.list-group-item-danger.active:focus{color:#fff;background-color:#b94a48;border-color:#b94a48}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#ffffff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,0.05);box-shadow:0 1px 1px rgba(0,0,0,0.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-right-radius:3px;border-top-left-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>a,.panel-title>small,.panel-title>.small,.panel-title>small>a,.panel-title>.small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #dddddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-right-radius:3px;border-top-left-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-right-radius:0;border-top-left-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.table,.panel>.table-responsive>.table,.panel>.panel-collapse>.table{margin-bottom:0}.panel>.table caption,.panel>.table-responsive>.table caption,.panel>.panel-collapse>.table caption{padding-left:15px;padding-right:15px}.panel>.table:first-child,.panel>.table-responsive:first-child>.table:first-child{border-top-right-radius:3px;border-top-left-radius:3px}.panel>.table:first-child>thead:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table:last-child,.panel>.table-responsive:last-child>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-left-radius:3px;border-bottom-right-radius:3px}.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #dddddd}.panel>.table>tbody:first-child>tr:first-child th,.panel>.table>tbody:first-child>tr:first-child td{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child{border-left:0}.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child{border-right:0}.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{border:0;margin-bottom:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.panel-body,.panel-group .panel-heading+.panel-collapse>.list-group{border-top:1px solid #dddddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #dddddd}.panel-default{border-color:#dddddd}.panel-default>.panel-heading{color:#555555;background-color:#f5f5f5;border-color:#dddddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#555555}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-primary{border-color:#dddddd}.panel-primary>.panel-heading{color:#ffffff;background-color:#2fa4e7;border-color:#dddddd}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-primary>.panel-heading .badge{color:#2fa4e7;background-color:#ffffff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-success{border-color:#dddddd}.panel-success>.panel-heading{color:#468847;background-color:#73a839;border-color:#dddddd}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-success>.panel-heading .badge{color:#73a839;background-color:#468847}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-info{border-color:#dddddd}.panel-info>.panel-heading{color:#3a87ad;background-color:#033c73;border-color:#dddddd}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-info>.panel-heading .badge{color:#033c73;background-color:#3a87ad}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-warning{border-color:#dddddd}.panel-warning>.panel-heading{color:#c09853;background-color:#dd5600;border-color:#dddddd}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-warning>.panel-heading .badge{color:#dd5600;background-color:#c09853}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-danger{border-color:#dddddd}.panel-danger>.panel-heading{color:#b94a48;background-color:#c71c22;border-color:#dddddd}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-danger>.panel-heading .badge{color:#c71c22;background-color:#b94a48}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive iframe,.embed-responsive embed,.embed-responsive object,.embed-responsive video{position:absolute;top:0;left:0;bottom:0;height:100%;width:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);box-shadow:inset 0 1px 1px rgba(0,0,0,0.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,0.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:bold;line-height:1;color:#000000;text-shadow:0 1px 0 #ffffff;opacity:0.2;filter:alpha(opacity=20)}.close:hover,.close:focus{color:#000000;text-decoration:none;cursor:pointer;opacity:0.5;filter:alpha(opacity=50)}button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none}.modal-open{overflow:hidden}.modal{display:none;overflow:hidden;position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transform:translate(0, -25%);-ms-transform:translate(0, -25%);-o-transform:translate(0, -25%);transform:translate(0, -25%);-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out}.modal.in .modal-dialog{-webkit-transform:translate(0, 0);-ms-transform:translate(0, 0);-o-transform:translate(0, 0);transform:translate(0, 0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#ffffff;border:1px solid #999999;border:1px solid rgba(0,0,0,0.2);border-radius:6px;-webkit-box-shadow:0 3px 9px rgba(0,0,0,0.5);box-shadow:0 3px 9px rgba(0,0,0,0.5);-webkit-background-clip:padding-box;background-clip:padding-box;outline:0}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000000}.modal-backdrop.fade{opacity:0;filter:alpha(opacity=0)}.modal-backdrop.in{opacity:0.5;filter:alpha(opacity=50)}.modal-header{padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:20px}.modal-footer{padding:20px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-left:5px;margin-bottom:0}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,0.5);box-shadow:0 5px 15px rgba(0,0,0,0.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-weight:normal;letter-spacing:normal;line-break:auto;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;word-wrap:normal;font-size:12px;opacity:0;filter:alpha(opacity=0)}.tooltip.in{opacity:0.9;filter:alpha(opacity=90)}.tooltip.top{margin-top:-3px;padding:5px 0}.tooltip.right{margin-left:3px;padding:0 5px}.tooltip.bottom{margin-top:3px;padding:5px 0}.tooltip.left{margin-left:-3px;padding:0 5px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#ffffff;text-align:center;background-color:#000000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000000}.tooltip.top-left .tooltip-arrow{bottom:0;right:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-weight:normal;letter-spacing:normal;line-break:auto;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;word-wrap:normal;font-size:14px;background-color:#ffffff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #cccccc;border:1px solid rgba(0,0,0,0.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2)}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{margin:0;padding:8px 14px;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{border-width:10px;content:""}.popover.top>.arrow{left:50%;margin-left:-11px;border-bottom-width:0;border-top-color:#999999;border-top-color:rgba(0,0,0,0.25);bottom:-11px}.popover.top>.arrow:after{content:" ";bottom:1px;margin-left:-10px;border-bottom-width:0;border-top-color:#ffffff}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-left-width:0;border-right-color:#999999;border-right-color:rgba(0,0,0,0.25)}.popover.right>.arrow:after{content:" ";left:1px;bottom:-10px;border-left-width:0;border-right-color:#ffffff}.popover.bottom>.arrow{left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999999;border-bottom-color:rgba(0,0,0,0.25);top:-11px}.popover.bottom>.arrow:after{content:" ";top:1px;margin-left:-10px;border-top-width:0;border-bottom-color:#ffffff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999999;border-left-color:rgba(0,0,0,0.25)}.popover.left>.arrow:after{content:" ";right:1px;border-right-width:0;border-left-color:#ffffff;bottom:-10px}.carousel{position:relative}.carousel-inner{position:relative;overflow:hidden;width:100%}.carousel-inner>.item{display:none;position:relative;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>img,.carousel-inner>.item>a>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.next,.carousel-inner>.item.active.right{-webkit-transform:translate3d(100%, 0, 0);transform:translate3d(100%, 0, 0);left:0}.carousel-inner>.item.prev,.carousel-inner>.item.active.left{-webkit-transform:translate3d(-100%, 0, 0);transform:translate3d(-100%, 0, 0);left:0}.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right,.carousel-inner>.item.active{-webkit-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);left:0}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;left:0;bottom:0;width:15%;opacity:0.5;filter:alpha(opacity=50);font-size:20px;color:#ffffff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,0.6);background-color:rgba(0,0,0,0)}.carousel-control.left{background-image:-webkit-linear-gradient(left, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-image:-o-linear-gradient(left, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-image:-webkit-gradient(linear, left top, right top, from(rgba(0,0,0,0.5)), to(rgba(0,0,0,0.0001)));background-image:linear-gradient(to right, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1)}.carousel-control.right{left:auto;right:0;background-image:-webkit-linear-gradient(left, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-image:-o-linear-gradient(left, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-image:-webkit-gradient(linear, left top, right top, from(rgba(0,0,0,0.0001)), to(rgba(0,0,0,0.5)));background-image:linear-gradient(to right, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1)}.carousel-control:hover,.carousel-control:focus{outline:0;color:#ffffff;text-decoration:none;opacity:0.9;filter:alpha(opacity=90)}.carousel-control .icon-prev,.carousel-control .icon-next,.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right{position:absolute;top:50%;margin-top:-10px;z-index:5;display:inline-block}.carousel-control .icon-prev,.carousel-control .glyphicon-chevron-left{left:50%;margin-left:-10px}.carousel-control .icon-next,.carousel-control .glyphicon-chevron-right{right:50%;margin-right:-10px}.carousel-control .icon-prev,.carousel-control .icon-next{width:20px;height:20px;line-height:1;font-family:serif}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;margin-left:-30%;padding-left:0;list-style:none;text-align:center}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;border:1px solid #ffffff;border-radius:10px;cursor:pointer;background-color:#000 \9;background-color:rgba(0,0,0,0)}.carousel-indicators .active{margin:0;width:12px;height:12px;background-color:#ffffff}.carousel-caption{position:absolute;left:15%;right:15%;bottom:20px;z-index:10;padding-top:20px;padding-bottom:20px;color:#ffffff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,0.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-prev,.carousel-control .icon-next{width:30px;height:30px;margin-top:-10px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-10px}.carousel-caption{left:20%;right:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.clearfix:before,.clearfix:after,.dl-horizontal dd:before,.dl-horizontal dd:after,.container:before,.container:after,.container-fluid:before,.container-fluid:after,.row:before,.row:after,.form-horizontal .form-group:before,.form-horizontal .form-group:after,.btn-toolbar:before,.btn-toolbar:after,.btn-group-vertical>.btn-group:before,.btn-group-vertical>.btn-group:after,.nav:before,.nav:after,.navbar:before,.navbar:after,.navbar-header:before,.navbar-header:after,.navbar-collapse:before,.navbar-collapse:after,.pager:before,.pager:after,.panel-body:before,.panel-body:after,.modal-header:before,.modal-header:after,.modal-footer:before,.modal-footer:after{content:" ";display:table}.clearfix:after,.dl-horizontal dd:after,.container:after,.container-fluid:after,.row:after,.form-horizontal .form-group:after,.btn-toolbar:after,.btn-group-vertical>.btn-group:after,.nav:after,.navbar:after,.navbar-header:after,.navbar-collapse:after,.pager:after,.panel-body:after,.modal-header:after,.modal-footer:after{clear:both}.center-block{display:block;margin-left:auto;margin-right:auto}.pull-right{float:right !important}.pull-left{float:left !important}.hide{display:none !important}.show{display:block !important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none !important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-xs,.visible-sm,.visible-md,.visible-lg{display:none !important}.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block{display:none !important}@media (max-width:767px){.visible-xs{display:block !important}table.visible-xs{display:table !important}tr.visible-xs{display:table-row !important}th.visible-xs,td.visible-xs{display:table-cell !important}}@media (max-width:767px){.visible-xs-block{display:block !important}}@media (max-width:767px){.visible-xs-inline{display:inline !important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block !important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block !important}table.visible-sm{display:table !important}tr.visible-sm{display:table-row !important}th.visible-sm,td.visible-sm{display:table-cell !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block !important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block !important}table.visible-md{display:table !important}tr.visible-md{display:table-row !important}th.visible-md,td.visible-md{display:table-cell !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block !important}}@media (min-width:1200px){.visible-lg{display:block !important}table.visible-lg{display:table !important}tr.visible-lg{display:table-row !important}th.visible-lg,td.visible-lg{display:table-cell !important}}@media (min-width:1200px){.visible-lg-block{display:block !important}}@media (min-width:1200px){.visible-lg-inline{display:inline !important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block !important}}@media (max-width:767px){.hidden-xs{display:none !important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none !important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none !important}}@media (min-width:1200px){.hidden-lg{display:none !important}}.visible-print{display:none !important}@media print{.visible-print{display:block !important}table.visible-print{display:table !important}tr.visible-print{display:table-row !important}th.visible-print,td.visible-print{display:table-cell !important}}.visible-print-block{display:none !important}@media print{.visible-print-block{display:block !important}}.visible-print-inline{display:none !important}@media print{.visible-print-inline{display:inline !important}}.visible-print-inline-block{display:none !important}@media print{.visible-print-inline-block{display:inline-block !important}}@media print{.hidden-print{display:none !important}}.navbar{background-image:-webkit-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-o-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-webkit-gradient(linear, left top, left bottom, from(#54b4eb), color-stop(60%, #2fa4e7), to(#1d9ce5));background-image:linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff54b4eb', endColorstr='#ff1d9ce5', GradientType=0);border-bottom:1px solid #178acc;-webkit-filter:none;filter:none;-webkit-box-shadow:0 1px 10px rgba(0,0,0,0.1);box-shadow:0 1px 10px rgba(0,0,0,0.1)}.navbar-default .badge{background-color:#fff;color:#2fa4e7}.navbar-inverse{background-image:-webkit-linear-gradient(#04519b, #044687 60%, #033769);background-image:-o-linear-gradient(#04519b, #044687 60%, #033769);background-image:-webkit-gradient(linear, left top, left bottom, from(#04519b), color-stop(60%, #044687), to(#033769));background-image:linear-gradient(#04519b, #044687 60%, #033769);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff04519b', endColorstr='#ff033769', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #022241}.navbar-inverse .badge{background-color:#fff;color:#033c73}.navbar .navbar-nav>li>a,.navbar-brand{text-shadow:0 1px 0 rgba(0,0,0,0.1)}@media (max-width:767px){.navbar .dropdown-header{color:#fff}.navbar .dropdown-menu a{color:#fff}}.btn{text-shadow:0 1px 0 rgba(0,0,0,0.1)}.btn .caret{border-top-color:#fff}.btn-default{background-image:-webkit-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-o-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-webkit-gradient(linear, left top, left bottom, from(#fff), color-stop(60%, #fff), to(#f5f5f5));background-image:linear-gradient(#fff, #fff 60%, #f5f5f5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff5f5f5', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #e6e6e6}.btn-default:hover{color:#555555}.btn-default .caret{border-top-color:#555555}.btn-default{background-image:-webkit-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-o-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-webkit-gradient(linear, left top, left bottom, from(#fff), color-stop(60%, #fff), to(#f5f5f5));background-image:linear-gradient(#fff, #fff 60%, #f5f5f5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff5f5f5', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #e6e6e6}.btn-primary{background-image:-webkit-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-o-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-webkit-gradient(linear, left top, left bottom, from(#54b4eb), color-stop(60%, #2fa4e7), to(#1d9ce5));background-image:linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff54b4eb', endColorstr='#ff1d9ce5', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #178acc}.btn-success{background-image:-webkit-linear-gradient(#88c149, #73a839 60%, #699934);background-image:-o-linear-gradient(#88c149, #73a839 60%, #699934);background-image:-webkit-gradient(linear, left top, left bottom, from(#88c149), color-stop(60%, #73a839), to(#699934));background-image:linear-gradient(#88c149, #73a839 60%, #699934);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff88c149', endColorstr='#ff699934', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #59822c}.btn-info{background-image:-webkit-linear-gradient(#04519b, #033c73 60%, #02325f);background-image:-o-linear-gradient(#04519b, #033c73 60%, #02325f);background-image:-webkit-gradient(linear, left top, left bottom, from(#04519b), color-stop(60%, #033c73), to(#02325f));background-image:linear-gradient(#04519b, #033c73 60%, #02325f);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff04519b', endColorstr='#ff02325f', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #022241}.btn-warning{background-image:-webkit-linear-gradient(#ff6707, #dd5600 60%, #c94e00);background-image:-o-linear-gradient(#ff6707, #dd5600 60%, #c94e00);background-image:-webkit-gradient(linear, left top, left bottom, from(#ff6707), color-stop(60%, #dd5600), to(#c94e00));background-image:linear-gradient(#ff6707, #dd5600 60%, #c94e00);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffff6707', endColorstr='#ffc94e00', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #aa4200}.btn-danger{background-image:-webkit-linear-gradient(#e12b31, #c71c22 60%, #b5191f);background-image:-o-linear-gradient(#e12b31, #c71c22 60%, #b5191f);background-image:-webkit-gradient(linear, left top, left bottom, from(#e12b31), color-stop(60%, #c71c22), to(#b5191f));background-image:linear-gradient(#e12b31, #c71c22 60%, #b5191f);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe12b31', endColorstr='#ffb5191f', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #9a161a}.panel-primary .panel-heading,.panel-success .panel-heading,.panel-warning .panel-heading,.panel-danger .panel-heading,.panel-info .panel-heading,.panel-primary .panel-title,.panel-success .panel-title,.panel-warning .panel-title,.panel-danger .panel-title,.panel-info .panel-title{color:#fff}
@@ -65,12 +68,18 @@
 h6 {font-size: 12px;}
 code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
 pre:not([class]) { background-color: white }</style>
-<script>/*! jQuery UI - v1.13.2 - 2022-07-14
+<script>/*! jQuery UI - v1.11.4 - 2016-01-05
 * http://jqueryui.com
-* Includes: widget.js, position.js, data.js, disable-selection.js, effect.js, effects/effect-blind.js, effects/effect-bounce.js, effects/effect-clip.js, effects/effect-drop.js, effects/effect-explode.js, effects/effect-fade.js, effects/effect-fold.js, effects/effect-highlight.js, effects/effect-puff.js, effects/effect-pulsate.js, effects/effect-scale.js, effects/effect-shake.js, effects/effect-size.js, effects/effect-slide.js, effects/effect-transfer.js, focusable.js, form-reset-mixin.js, jquery-patch.js, keycode.js, labels.js, scroll-parent.js, tabbable.js, unique-id.js, widgets/accordion.js, widgets/autocomplete.js, widgets/button.js, widgets/checkboxradio.js, widgets/controlgroup.js, widgets/datepicker.js, widgets/dialog.js, widgets/draggable.js, widgets/droppable.js, widgets/menu.js, widgets/mouse.js, widgets/progressbar.js, widgets/resizable.js, widgets/selectable.js, widgets/selectmenu.js, widgets/slider.js, widgets/sortable.js, widgets/spinner.js, widgets/tabs.js, widgets/tooltip.js
+* Includes: core.js, widget.js, mouse.js, position.js, draggable.js, droppable.js, resizable.js, selectable.js, sortable.js, accordion.js, autocomplete.js, button.js, dialog.js, menu.js, progressbar.js, selectmenu.js, slider.js, spinner.js, tabs.js, tooltip.js, effect.js, effect-blind.js, effect-bounce.js, effect-clip.js, effect-drop.js, effect-explode.js, effect-fade.js, effect-fold.js, effect-highlight.js, effect-puff.js, effect-pulsate.js, effect-scale.js, effect-shake.js, effect-size.js, effect-slide.js, effect-transfer.js
 * Copyright jQuery Foundation and other contributors; Licensed MIT */
 
-!function(t){"use strict";"function"==typeof define&&define.amd?define(["jquery"],t):t(jQuery)}(function(V){"use strict";V.ui=V.ui||{};V.ui.version="1.13.2";var n,i=0,a=Array.prototype.hasOwnProperty,r=Array.prototype.slice;V.cleanData=(n=V.cleanData,function(t){for(var e,i,s=0;null!=(i=t[s]);s++)(e=V._data(i,"events"))&&e.remove&&V(i).triggerHandler("remove");n(t)}),V.widget=function(t,i,e){var s,n,o,a={},r=t.split(".")[0],l=r+"-"+(t=t.split(".")[1]);return e||(e=i,i=V.Widget),Array.isArray(e)&&(e=V.extend.apply(null,[{}].concat(e))),V.expr.pseudos[l.toLowerCase()]=function(t){return!!V.data(t,l)},V[r]=V[r]||{},s=V[r][t],n=V[r][t]=function(t,e){if(!this||!this._createWidget)return new n(t,e);arguments.length&&this._createWidget(t,e)},V.extend(n,s,{version:e.version,_proto:V.extend({},e),_childConstructors:[]}),(o=new i).options=V.widget.extend({},o.options),V.each(e,function(e,s){function n(){return i.prototype[e].apply(this,arguments)}function o(t){return i.prototype[e].apply(this,t)}a[e]="function"==typeof s?function(){var t,e=this._super,i=this._superApply;return this._super=n,this._superApply=o,t=s.apply(this,arguments),this._super=e,this._superApply=i,t}:s}),n.prototype=V.widget.extend(o,{widgetEventPrefix:s&&o.widgetEventPrefix||t},a,{constructor:n,namespace:r,widgetName:t,widgetFullName:l}),s?(V.each(s._childConstructors,function(t,e){var i=e.prototype;V.widget(i.namespace+"."+i.widgetName,n,e._proto)}),delete s._childConstructors):i._childConstructors.push(n),V.widget.bridge(t,n),n},V.widget.extend=function(t){for(var e,i,s=r.call(arguments,1),n=0,o=s.length;n<o;n++)for(e in s[n])i=s[n][e],a.call(s[n],e)&&void 0!==i&&(V.isPlainObject(i)?t[e]=V.isPlainObject(t[e])?V.widget.extend({},t[e],i):V.widget.extend({},i):t[e]=i);return t},V.widget.bridge=function(o,e){var a=e.prototype.widgetFullName||o;V.fn[o]=function(i){var t="string"==typeof i,s=r.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t,e=V.data(this,a);return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?V.error("no such method '"+i+"' for "+o+" widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:V.error("cannot call methods on "+o+" prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=V.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=V.data(this,a);t?(t.option(i||{}),t._init&&t._init()):V.data(this,a,new e(i,this))})),n}},V.Widget=function(){},V.Widget._childConstructors=[],V.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{classes:{},disabled:!1,create:null},_createWidget:function(t,e){e=V(e||this.defaultElement||this)[0],this.element=V(e),this.uuid=i++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=V(),this.hoverable=V(),this.focusable=V(),this.classesElementLookup={},e!==this&&(V.data(e,this.widgetFullName,this),this._on(!0,this.element,{remove:function(t){t.target===e&&this.destroy()}}),this.document=V(e.style?e.ownerDocument:e.document||e),this.window=V(this.document[0].defaultView||this.document[0].parentWindow)),this.options=V.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this.options.disabled&&this._setOptionDisabled(this.options.disabled),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:function(){return{}},_getCreateEventData:V.noop,_create:V.noop,_init:V.noop,destroy:function(){var i=this;this._destroy(),V.each(this.classesElementLookup,function(t,e){i._removeClass(e,t)}),this.element.off(this.eventNamespace).removeData(this.widgetFullName),this.widget().off(this.eventNamespace).removeAttr("aria-disabled"),this.bindings.off(this.eventNamespace)},_destroy:V.noop,widget:function(){return this.element},option:function(t,e){var i,s,n,o=t;if(0===arguments.length)return V.widget.extend({},this.options);if("string"==typeof t)if(o={},t=(i=t.split(".")).shift(),i.length){for(s=o[t]=V.widget.extend({},this.options[t]),n=0;n<i.length-1;n++)s[i[n]]=s[i[n]]||{},s=s[i[n]];if(t=i.pop(),1===arguments.length)return void 0===s[t]?null:s[t];s[t]=e}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=e}return this._setOptions(o),this},_setOptions:function(t){for(var e in t)this._setOption(e,t[e]);return this},_setOption:function(t,e){return"classes"===t&&this._setOptionClasses(e),this.options[t]=e,"disabled"===t&&this._setOptionDisabled(e),this},_setOptionClasses:function(t){var e,i,s;for(e in t)s=this.classesElementLookup[e],t[e]!==this.options.classes[e]&&s&&s.length&&(i=V(s.get()),this._removeClass(s,e),i.addClass(this._classes({element:i,keys:e,classes:t,add:!0})))},_setOptionDisabled:function(t){this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!!t),t&&(this._removeClass(this.hoverable,null,"ui-state-hover"),this._removeClass(this.focusable,null,"ui-state-focus"))},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_classes:function(n){var o=[],a=this;function t(t,e){for(var i,s=0;s<t.length;s++)i=a.classesElementLookup[t[s]]||V(),i=n.add?(function(){var i=[];n.element.each(function(t,e){V.map(a.classesElementLookup,function(t){return t}).some(function(t){return t.is(e)})||i.push(e)}),a._on(V(i),{remove:"_untrackClassesElement"})}(),V(V.uniqueSort(i.get().concat(n.element.get())))):V(i.not(n.element).get()),a.classesElementLookup[t[s]]=i,o.push(t[s]),e&&n.classes[t[s]]&&o.push(n.classes[t[s]])}return(n=V.extend({element:this.element,classes:this.options.classes||{}},n)).keys&&t(n.keys.match(/\S+/g)||[],!0),n.extra&&t(n.extra.match(/\S+/g)||[]),o.join(" ")},_untrackClassesElement:function(i){var s=this;V.each(s.classesElementLookup,function(t,e){-1!==V.inArray(i.target,e)&&(s.classesElementLookup[t]=V(e.not(i.target).get()))}),this._off(V(i.target))},_removeClass:function(t,e,i){return this._toggleClass(t,e,i,!1)},_addClass:function(t,e,i){return this._toggleClass(t,e,i,!0)},_toggleClass:function(t,e,i,s){var n="string"==typeof t||null===t,i={extra:n?e:i,keys:n?t:e,element:n?this.element:t,add:s="boolean"==typeof s?s:i};return i.element.toggleClass(this._classes(i),s),this},_on:function(n,o,t){var a,r=this;"boolean"!=typeof n&&(t=o,o=n,n=!1),t?(o=a=V(o),this.bindings=this.bindings.add(o)):(t=o,o=this.element,a=this.widget()),V.each(t,function(t,e){function i(){if(n||!0!==r.options.disabled&&!V(this).hasClass("ui-state-disabled"))return("string"==typeof e?r[e]:e).apply(r,arguments)}"string"!=typeof e&&(i.guid=e.guid=e.guid||i.guid||V.guid++);var s=t.match(/^([\w:-]*)\s*(.*)$/),t=s[1]+r.eventNamespace,s=s[2];s?a.on(t,s,i):o.on(t,i)})},_off:function(t,e){e=(e||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.off(e),this.bindings=V(this.bindings.not(t).get()),this.focusable=V(this.focusable.not(t).get()),this.hoverable=V(this.hoverable.not(t).get())},_delay:function(t,e){var i=this;return setTimeout(function(){return("string"==typeof t?i[t]:t).apply(i,arguments)},e||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){this._addClass(V(t.currentTarget),null,"ui-state-hover")},mouseleave:function(t){this._removeClass(V(t.currentTarget),null,"ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){this._addClass(V(t.currentTarget),null,"ui-state-focus")},focusout:function(t){this._removeClass(V(t.currentTarget),null,"ui-state-focus")}})},_trigger:function(t,e,i){var s,n,o=this.options[t];if(i=i||{},(e=V.Event(e)).type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),e.target=this.element[0],n=e.originalEvent)for(s in n)s in e||(e[s]=n[s]);return this.element.trigger(e,i),!("function"==typeof o&&!1===o.apply(this.element[0],[e].concat(i))||e.isDefaultPrevented())}},V.each({show:"fadeIn",hide:"fadeOut"},function(o,a){V.Widget.prototype["_"+o]=function(e,t,i){var s,n=(t="string"==typeof t?{effect:t}:t)?!0!==t&&"number"!=typeof t&&t.effect||a:o;"number"==typeof(t=t||{})?t={duration:t}:!0===t&&(t={}),s=!V.isEmptyObject(t),t.complete=i,t.delay&&e.delay(t.delay),s&&V.effects&&V.effects.effect[n]?e[o](t):n!==o&&e[n]?e[n](t.duration,t.easing,i):e.queue(function(t){V(this)[o](),i&&i.call(e[0]),t()})}});var s,x,k,o,l,h,c,u,C;V.widget;function D(t,e,i){return[parseFloat(t[0])*(u.test(t[0])?e/100:1),parseFloat(t[1])*(u.test(t[1])?i/100:1)]}function I(t,e){return parseInt(V.css(t,e),10)||0}function T(t){return null!=t&&t===t.window}x=Math.max,k=Math.abs,o=/left|center|right/,l=/top|center|bottom/,h=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,u=/%$/,C=V.fn.position,V.position={scrollbarWidth:function(){if(void 0!==s)return s;var t,e=V("<div style='display:block;position:absolute;width:200px;height:200px;overflow:hidden;'><div style='height:300px;width:auto;'></div></div>"),i=e.children()[0];return V("body").append(e),t=i.offsetWidth,e.css("overflow","scroll"),t===(i=i.offsetWidth)&&(i=e[0].clientWidth),e.remove(),s=t-i},getScrollInfo:function(t){var e=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),i=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),e="scroll"===e||"auto"===e&&t.width<t.element[0].scrollWidth;return{width:"scroll"===i||"auto"===i&&t.height<t.element[0].scrollHeight?V.position.scrollbarWidth():0,height:e?V.position.scrollbarWidth():0}},getWithinInfo:function(t){var e=V(t||window),i=T(e[0]),s=!!e[0]&&9===e[0].nodeType;return{element:e,isWindow:i,isDocument:s,offset:!i&&!s?V(t).offset():{left:0,top:0},scrollLeft:e.scrollLeft(),scrollTop:e.scrollTop(),width:e.outerWidth(),height:e.outerHeight()}}},V.fn.position=function(u){if(!u||!u.of)return C.apply(this,arguments);var d,p,f,g,m,t,_="string"==typeof(u=V.extend({},u)).of?V(document).find(u.of):V(u.of),v=V.position.getWithinInfo(u.within),b=V.position.getScrollInfo(v),y=(u.collision||"flip").split(" "),w={},e=9===(t=(e=_)[0]).nodeType?{width:e.width(),height:e.height(),offset:{top:0,left:0}}:T(t)?{width:e.width(),height:e.height(),offset:{top:e.scrollTop(),left:e.scrollLeft()}}:t.preventDefault?{width:0,height:0,offset:{top:t.pageY,left:t.pageX}}:{width:e.outerWidth(),height:e.outerHeight(),offset:e.offset()};return _[0].preventDefault&&(u.at="left top"),p=e.width,f=e.height,m=V.extend({},g=e.offset),V.each(["my","at"],function(){var t,e,i=(u[this]||"").split(" ");(i=1===i.length?o.test(i[0])?i.concat(["center"]):l.test(i[0])?["center"].concat(i):["center","center"]:i)[0]=o.test(i[0])?i[0]:"center",i[1]=l.test(i[1])?i[1]:"center",t=h.exec(i[0]),e=h.exec(i[1]),w[this]=[t?t[0]:0,e?e[0]:0],u[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===y.length&&(y[1]=y[0]),"right"===u.at[0]?m.left+=p:"center"===u.at[0]&&(m.left+=p/2),"bottom"===u.at[1]?m.top+=f:"center"===u.at[1]&&(m.top+=f/2),d=D(w.at,p,f),m.left+=d[0],m.top+=d[1],this.each(function(){var i,t,a=V(this),r=a.outerWidth(),l=a.outerHeight(),e=I(this,"marginLeft"),s=I(this,"marginTop"),n=r+e+I(this,"marginRight")+b.width,o=l+s+I(this,"marginBottom")+b.height,h=V.extend({},m),c=D(w.my,a.outerWidth(),a.outerHeight());"right"===u.my[0]?h.left-=r:"center"===u.my[0]&&(h.left-=r/2),"bottom"===u.my[1]?h.top-=l:"center"===u.my[1]&&(h.top-=l/2),h.left+=c[0],h.top+=c[1],i={marginLeft:e,marginTop:s},V.each(["left","top"],function(t,e){V.ui.position[y[t]]&&V.ui.position[y[t]][e](h,{targetWidth:p,targetHeight:f,elemWidth:r,elemHeight:l,collisionPosition:i,collisionWidth:n,collisionHeight:o,offset:[d[0]+c[0],d[1]+c[1]],my:u.my,at:u.at,within:v,elem:a})}),u.using&&(t=function(t){var e=g.left-h.left,i=e+p-r,s=g.top-h.top,n=s+f-l,o={target:{element:_,left:g.left,top:g.top,width:p,height:f},element:{element:a,left:h.left,top:h.top,width:r,height:l},horizontal:i<0?"left":0<e?"right":"center",vertical:n<0?"top":0<s?"bottom":"middle"};p<r&&k(e+i)<p&&(o.horizontal="center"),f<l&&k(s+n)<f&&(o.vertical="middle"),x(k(e),k(i))>x(k(s),k(n))?o.important="horizontal":o.important="vertical",u.using.call(this,t,o)}),a.offset(V.extend(h,{using:t}))})},V.ui.position={fit:{left:function(t,e){var i=e.within,s=i.isWindow?i.scrollLeft:i.offset.left,n=i.width,o=t.left-e.collisionPosition.marginLeft,a=s-o,r=o+e.collisionWidth-n-s;e.collisionWidth>n?0<a&&r<=0?(i=t.left+a+e.collisionWidth-n-s,t.left+=a-i):t.left=!(0<r&&a<=0)&&r<a?s+n-e.collisionWidth:s:0<a?t.left+=a:0<r?t.left-=r:t.left=x(t.left-o,t.left)},top:function(t,e){var i=e.within,s=i.isWindow?i.scrollTop:i.offset.top,n=e.within.height,o=t.top-e.collisionPosition.marginTop,a=s-o,r=o+e.collisionHeight-n-s;e.collisionHeight>n?0<a&&r<=0?(i=t.top+a+e.collisionHeight-n-s,t.top+=a-i):t.top=!(0<r&&a<=0)&&r<a?s+n-e.collisionHeight:s:0<a?t.top+=a:0<r?t.top-=r:t.top=x(t.top-o,t.top)}},flip:{left:function(t,e){var i=e.within,s=i.offset.left+i.scrollLeft,n=i.width,o=i.isWindow?i.scrollLeft:i.offset.left,a=t.left-e.collisionPosition.marginLeft,r=a-o,l=a+e.collisionWidth-n-o,h="left"===e.my[0]?-e.elemWidth:"right"===e.my[0]?e.elemWidth:0,i="left"===e.at[0]?e.targetWidth:"right"===e.at[0]?-e.targetWidth:0,a=-2*e.offset[0];r<0?((s=t.left+h+i+a+e.collisionWidth-n-s)<0||s<k(r))&&(t.left+=h+i+a):0<l&&(0<(o=t.left-e.collisionPosition.marginLeft+h+i+a-o)||k(o)<l)&&(t.left+=h+i+a)},top:function(t,e){var i=e.within,s=i.offset.top+i.scrollTop,n=i.height,o=i.isWindow?i.scrollTop:i.offset.top,a=t.top-e.collisionPosition.marginTop,r=a-o,l=a+e.collisionHeight-n-o,h="top"===e.my[1]?-e.elemHeight:"bottom"===e.my[1]?e.elemHeight:0,i="top"===e.at[1]?e.targetHeight:"bottom"===e.at[1]?-e.targetHeight:0,a=-2*e.offset[1];r<0?((s=t.top+h+i+a+e.collisionHeight-n-s)<0||s<k(r))&&(t.top+=h+i+a):0<l&&(0<(o=t.top-e.collisionPosition.marginTop+h+i+a-o)||k(o)<l)&&(t.top+=h+i+a)}},flipfit:{left:function(){V.ui.position.flip.left.apply(this,arguments),V.ui.position.fit.left.apply(this,arguments)},top:function(){V.ui.position.flip.top.apply(this,arguments),V.ui.position.fit.top.apply(this,arguments)}}};V.ui.position,V.extend(V.expr.pseudos,{data:V.expr.createPseudo?V.expr.createPseudo(function(e){return function(t){return!!V.data(t,e)}}):function(t,e,i){return!!V.data(t,i[3])}}),V.fn.extend({disableSelection:(t="onselectstart"in document.createElement("div")?"selectstart":"mousedown",function(){return this.on(t+".ui-disableSelection",function(t){t.preventDefault()})}),enableSelection:function(){return this.off(".ui-disableSelection")}});var t,d=V,p={},e=p.toString,f=/^([\-+])=\s*(\d+\.?\d*)/,g=[{re:/rgba?\(\s*(\d{1,3})\s*,\s*(\d{1,3})\s*,\s*(\d{1,3})\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(t){return[t[1],t[2],t[3],t[4]]}},{re:/rgba?\(\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(t){return[2.55*t[1],2.55*t[2],2.55*t[3],t[4]]}},{re:/#([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})?/,parse:function(t){return[parseInt(t[1],16),parseInt(t[2],16),parseInt(t[3],16),t[4]?(parseInt(t[4],16)/255).toFixed(2):1]}},{re:/#([a-f0-9])([a-f0-9])([a-f0-9])([a-f0-9])?/,parse:function(t){return[parseInt(t[1]+t[1],16),parseInt(t[2]+t[2],16),parseInt(t[3]+t[3],16),t[4]?(parseInt(t[4]+t[4],16)/255).toFixed(2):1]}},{re:/hsla?\(\s*(\d+(?:\.\d+)?)\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,space:"hsla",parse:function(t){return[t[1],t[2]/100,t[3]/100,t[4]]}}],m=d.Color=function(t,e,i,s){return new d.Color.fn.parse(t,e,i,s)},_={rgba:{props:{red:{idx:0,type:"byte"},green:{idx:1,type:"byte"},blue:{idx:2,type:"byte"}}},hsla:{props:{hue:{idx:0,type:"degrees"},saturation:{idx:1,type:"percent"},lightness:{idx:2,type:"percent"}}}},v={byte:{floor:!0,max:255},percent:{max:1},degrees:{mod:360,floor:!0}},b=m.support={},y=d("<p>")[0],w=d.each;function P(t){return null==t?t+"":"object"==typeof t?p[e.call(t)]||"object":typeof t}function M(t,e,i){var s=v[e.type]||{};return null==t?i||!e.def?null:e.def:(t=s.floor?~~t:parseFloat(t),isNaN(t)?e.def:s.mod?(t+s.mod)%s.mod:Math.min(s.max,Math.max(0,t)))}function S(s){var n=m(),o=n._rgba=[];return s=s.toLowerCase(),w(g,function(t,e){var i=e.re.exec(s),i=i&&e.parse(i),e=e.space||"rgba";if(i)return i=n[e](i),n[_[e].cache]=i[_[e].cache],o=n._rgba=i._rgba,!1}),o.length?("0,0,0,0"===o.join()&&d.extend(o,B.transparent),n):B[s]}function H(t,e,i){return 6*(i=(i+1)%1)<1?t+(e-t)*i*6:2*i<1?e:3*i<2?t+(e-t)*(2/3-i)*6:t}y.style.cssText="background-color:rgba(1,1,1,.5)",b.rgba=-1<y.style.backgroundColor.indexOf("rgba"),w(_,function(t,e){e.cache="_"+t,e.props.alpha={idx:3,type:"percent",def:1}}),d.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(t,e){p["[object "+e+"]"]=e.toLowerCase()}),(m.fn=d.extend(m.prototype,{parse:function(n,t,e,i){if(void 0===n)return this._rgba=[null,null,null,null],this;(n.jquery||n.nodeType)&&(n=d(n).css(t),t=void 0);var o=this,s=P(n),a=this._rgba=[];return void 0!==t&&(n=[n,t,e,i],s="array"),"string"===s?this.parse(S(n)||B._default):"array"===s?(w(_.rgba.props,function(t,e){a[e.idx]=M(n[e.idx],e)}),this):"object"===s?(w(_,n instanceof m?function(t,e){n[e.cache]&&(o[e.cache]=n[e.cache].slice())}:function(t,i){var s=i.cache;w(i.props,function(t,e){if(!o[s]&&i.to){if("alpha"===t||null==n[t])return;o[s]=i.to(o._rgba)}o[s][e.idx]=M(n[t],e,!0)}),o[s]&&d.inArray(null,o[s].slice(0,3))<0&&(null==o[s][3]&&(o[s][3]=1),i.from&&(o._rgba=i.from(o[s])))}),this):void 0},is:function(t){var n=m(t),o=!0,a=this;return w(_,function(t,e){var i,s=n[e.cache];return s&&(i=a[e.cache]||e.to&&e.to(a._rgba)||[],w(e.props,function(t,e){if(null!=s[e.idx])return o=s[e.idx]===i[e.idx]})),o}),o},_space:function(){var i=[],s=this;return w(_,function(t,e){s[e.cache]&&i.push(t)}),i.pop()},transition:function(t,a){var e=(h=m(t))._space(),i=_[e],t=0===this.alpha()?m("transparent"):this,r=t[i.cache]||i.to(t._rgba),l=r.slice(),h=h[i.cache];return w(i.props,function(t,e){var i=e.idx,s=r[i],n=h[i],o=v[e.type]||{};null!==n&&(null===s?l[i]=n:(o.mod&&(n-s>o.mod/2?s+=o.mod:s-n>o.mod/2&&(s-=o.mod)),l[i]=M((n-s)*a+s,e)))}),this[e](l)},blend:function(t){if(1===this._rgba[3])return this;var e=this._rgba.slice(),i=e.pop(),s=m(t)._rgba;return m(d.map(e,function(t,e){return(1-i)*s[e]+i*t}))},toRgbaString:function(){var t="rgba(",e=d.map(this._rgba,function(t,e){return null!=t?t:2<e?1:0});return 1===e[3]&&(e.pop(),t="rgb("),t+e.join()+")"},toHslaString:function(){var t="hsla(",e=d.map(this.hsla(),function(t,e){return null==t&&(t=2<e?1:0),t=e&&e<3?Math.round(100*t)+"%":t});return 1===e[3]&&(e.pop(),t="hsl("),t+e.join()+")"},toHexString:function(t){var e=this._rgba.slice(),i=e.pop();return t&&e.push(~~(255*i)),"#"+d.map(e,function(t){return 1===(t=(t||0).toString(16)).length?"0"+t:t}).join("")},toString:function(){return 0===this._rgba[3]?"transparent":this.toRgbaString()}})).parse.prototype=m.fn,_.hsla.to=function(t){if(null==t[0]||null==t[1]||null==t[2])return[null,null,null,t[3]];var e=t[0]/255,i=t[1]/255,s=t[2]/255,n=t[3],o=Math.max(e,i,s),a=Math.min(e,i,s),r=o-a,l=o+a,t=.5*l,i=a===o?0:e===o?60*(i-s)/r+360:i===o?60*(s-e)/r+120:60*(e-i)/r+240,l=0==r?0:t<=.5?r/l:r/(2-l);return[Math.round(i)%360,l,t,null==n?1:n]},_.hsla.from=function(t){if(null==t[0]||null==t[1]||null==t[2])return[null,null,null,t[3]];var e=t[0]/360,i=t[1],s=t[2],t=t[3],i=s<=.5?s*(1+i):s+i-s*i,s=2*s-i;return[Math.round(255*H(s,i,e+1/3)),Math.round(255*H(s,i,e)),Math.round(255*H(s,i,e-1/3)),t]},w(_,function(l,t){var e=t.props,o=t.cache,a=t.to,r=t.from;m.fn[l]=function(t){if(a&&!this[o]&&(this[o]=a(this._rgba)),void 0===t)return this[o].slice();var i=P(t),s="array"===i||"object"===i?t:arguments,n=this[o].slice();return w(e,function(t,e){t=s["object"===i?t:e.idx];null==t&&(t=n[e.idx]),n[e.idx]=M(t,e)}),r?((t=m(r(n)))[o]=n,t):m(n)},w(e,function(a,r){m.fn[a]||(m.fn[a]=function(t){var e,i=P(t),s="alpha"===a?this._hsla?"hsla":"rgba":l,n=this[s](),o=n[r.idx];return"undefined"===i?o:("function"===i&&(i=P(t=t.call(this,o))),null==t&&r.empty?this:("string"===i&&(e=f.exec(t))&&(t=o+parseFloat(e[2])*("+"===e[1]?1:-1)),n[r.idx]=t,this[s](n)))})})}),(m.hook=function(t){t=t.split(" ");w(t,function(t,o){d.cssHooks[o]={set:function(t,e){var i,s,n="";if("transparent"!==e&&("string"!==P(e)||(i=S(e)))){if(e=m(i||e),!b.rgba&&1!==e._rgba[3]){for(s="backgroundColor"===o?t.parentNode:t;(""===n||"transparent"===n)&&s&&s.style;)try{n=d.css(s,"backgroundColor"),s=s.parentNode}catch(t){}e=e.blend(n&&"transparent"!==n?n:"_default")}e=e.toRgbaString()}try{t.style[o]=e}catch(t){}}},d.fx.step[o]=function(t){t.colorInit||(t.start=m(t.elem,o),t.end=m(t.end),t.colorInit=!0),d.cssHooks[o].set(t.elem,t.start.transition(t.end,t.pos))}})})("backgroundColor borderBottomColor borderLeftColor borderRightColor borderTopColor color columnRuleColor outlineColor textDecorationColor textEmphasisColor"),d.cssHooks.borderColor={expand:function(i){var s={};return w(["Top","Right","Bottom","Left"],function(t,e){s["border"+e+"Color"]=i}),s}};var z,A,O,N,E,W,F,L,R,Y,B=d.Color.names={aqua:"#00ffff",black:"#000000",blue:"#0000ff",fuchsia:"#ff00ff",gray:"#808080",green:"#008000",lime:"#00ff00",maroon:"#800000",navy:"#000080",olive:"#808000",purple:"#800080",red:"#ff0000",silver:"#c0c0c0",teal:"#008080",white:"#ffffff",yellow:"#ffff00",transparent:[null,null,null,0],_default:"#ffffff"},j="ui-effects-",q="ui-effects-style",K="ui-effects-animated";function U(t){var e,i,s=t.ownerDocument.defaultView?t.ownerDocument.defaultView.getComputedStyle(t,null):t.currentStyle,n={};if(s&&s.length&&s[0]&&s[s[0]])for(i=s.length;i--;)"string"==typeof s[e=s[i]]&&(n[e.replace(/-([\da-z])/gi,function(t,e){return e.toUpperCase()})]=s[e]);else for(e in s)"string"==typeof s[e]&&(n[e]=s[e]);return n}function X(t,e,i,s){return t={effect:t=V.isPlainObject(t)?(e=t).effect:t},"function"==typeof(e=null==e?{}:e)&&(s=e,i=null,e={}),"number"!=typeof e&&!V.fx.speeds[e]||(s=i,i=e,e={}),"function"==typeof i&&(s=i,i=null),e&&V.extend(t,e),i=i||e.duration,t.duration=V.fx.off?0:"number"==typeof i?i:i in V.fx.speeds?V.fx.speeds[i]:V.fx.speeds._default,t.complete=s||e.complete,t}function $(t){return!t||"number"==typeof t||V.fx.speeds[t]||("string"==typeof t&&!V.effects.effect[t]||("function"==typeof t||"object"==typeof t&&!t.effect))}function G(t,e){var i=e.outerWidth(),e=e.outerHeight(),t=/^rect\((-?\d*\.?\d*px|-?\d+%|auto),?\s*(-?\d*\.?\d*px|-?\d+%|auto),?\s*(-?\d*\.?\d*px|-?\d+%|auto),?\s*(-?\d*\.?\d*px|-?\d+%|auto)\)$/.exec(t)||["",0,i,e,0];return{top:parseFloat(t[1])||0,right:"auto"===t[2]?i:parseFloat(t[2]),bottom:"auto"===t[3]?e:parseFloat(t[3]),left:parseFloat(t[4])||0}}V.effects={effect:{}},N=["add","remove","toggle"],E={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1},V.each(["borderLeftStyle","borderRightStyle","borderBottomStyle","borderTopStyle"],function(t,e){V.fx.step[e]=function(t){("none"!==t.end&&!t.setAttr||1===t.pos&&!t.setAttr)&&(d.style(t.elem,e,t.end),t.setAttr=!0)}}),V.fn.addBack||(V.fn.addBack=function(t){return this.add(null==t?this.prevObject:this.prevObject.filter(t))}),V.effects.animateClass=function(n,t,e,i){var o=V.speed(t,e,i);return this.queue(function(){var i=V(this),t=i.attr("class")||"",e=(e=o.children?i.find("*").addBack():i).map(function(){return{el:V(this),start:U(this)}}),s=function(){V.each(N,function(t,e){n[e]&&i[e+"Class"](n[e])})};s(),e=e.map(function(){return this.end=U(this.el[0]),this.diff=function(t,e){var i,s,n={};for(i in e)s=e[i],t[i]!==s&&(E[i]||!V.fx.step[i]&&isNaN(parseFloat(s))||(n[i]=s));return n}(this.start,this.end),this}),i.attr("class",t),e=e.map(function(){var t=this,e=V.Deferred(),i=V.extend({},o,{queue:!1,complete:function(){e.resolve(t)}});return this.el.animate(this.diff,i),e.promise()}),V.when.apply(V,e.get()).done(function(){s(),V.each(arguments,function(){var e=this.el;V.each(this.diff,function(t){e.css(t,"")})}),o.complete.call(i[0])})})},V.fn.extend({addClass:(O=V.fn.addClass,function(t,e,i,s){return e?V.effects.animateClass.call(this,{add:t},e,i,s):O.apply(this,arguments)}),removeClass:(A=V.fn.removeClass,function(t,e,i,s){return 1<arguments.length?V.effects.animateClass.call(this,{remove:t},e,i,s):A.apply(this,arguments)}),toggleClass:(z=V.fn.toggleClass,function(t,e,i,s,n){return"boolean"==typeof e||void 0===e?i?V.effects.animateClass.call(this,e?{add:t}:{remove:t},i,s,n):z.apply(this,arguments):V.effects.animateClass.call(this,{toggle:t},e,i,s)}),switchClass:function(t,e,i,s,n){return V.effects.animateClass.call(this,{add:e,remove:t},i,s,n)}}),V.expr&&V.expr.pseudos&&V.expr.pseudos.animated&&(V.expr.pseudos.animated=(W=V.expr.pseudos.animated,function(t){return!!V(t).data(K)||W(t)})),!1!==V.uiBackCompat&&V.extend(V.effects,{save:function(t,e){for(var i=0,s=e.length;i<s;i++)null!==e[i]&&t.data(j+e[i],t[0].style[e[i]])},restore:function(t,e){for(var i,s=0,n=e.length;s<n;s++)null!==e[s]&&(i=t.data(j+e[s]),t.css(e[s],i))},setMode:function(t,e){return e="toggle"===e?t.is(":hidden")?"show":"hide":e},createWrapper:function(i){if(i.parent().is(".ui-effects-wrapper"))return i.parent();var s={width:i.outerWidth(!0),height:i.outerHeight(!0),float:i.css("float")},t=V("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),e={width:i.width(),height:i.height()},n=document.activeElement;try{n.id}catch(t){n=document.body}return i.wrap(t),i[0]!==n&&!V.contains(i[0],n)||V(n).trigger("focus"),t=i.parent(),"static"===i.css("position")?(t.css({position:"relative"}),i.css({position:"relative"})):(V.extend(s,{position:i.css("position"),zIndex:i.css("z-index")}),V.each(["top","left","bottom","right"],function(t,e){s[e]=i.css(e),isNaN(parseInt(s[e],10))&&(s[e]="auto")}),i.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"})),i.css(e),t.css(s).show()},removeWrapper:function(t){var e=document.activeElement;return t.parent().is(".ui-effects-wrapper")&&(t.parent().replaceWith(t),t[0]!==e&&!V.contains(t[0],e)||V(e).trigger("focus")),t}}),V.extend(V.effects,{version:"1.13.2",define:function(t,e,i){return i||(i=e,e="effect"),V.effects.effect[t]=i,V.effects.effect[t].mode=e,i},scaledDimensions:function(t,e,i){if(0===e)return{height:0,width:0,outerHeight:0,outerWidth:0};var s="horizontal"!==i?(e||100)/100:1,e="vertical"!==i?(e||100)/100:1;return{height:t.height()*e,width:t.width()*s,outerHeight:t.outerHeight()*e,outerWidth:t.outerWidth()*s}},clipToBox:function(t){return{width:t.clip.right-t.clip.left,height:t.clip.bottom-t.clip.top,left:t.clip.left,top:t.clip.top}},unshift:function(t,e,i){var s=t.queue();1<e&&s.splice.apply(s,[1,0].concat(s.splice(e,i))),t.dequeue()},saveStyle:function(t){t.data(q,t[0].style.cssText)},restoreStyle:function(t){t[0].style.cssText=t.data(q)||"",t.removeData(q)},mode:function(t,e){t=t.is(":hidden");return"toggle"===e&&(e=t?"show":"hide"),e=(t?"hide"===e:"show"===e)?"none":e},getBaseline:function(t,e){var i,s;switch(t[0]){case"top":i=0;break;case"middle":i=.5;break;case"bottom":i=1;break;default:i=t[0]/e.height}switch(t[1]){case"left":s=0;break;case"center":s=.5;break;case"right":s=1;break;default:s=t[1]/e.width}return{x:s,y:i}},createPlaceholder:function(t){var e,i=t.css("position"),s=t.position();return t.css({marginTop:t.css("marginTop"),marginBottom:t.css("marginBottom"),marginLeft:t.css("marginLeft"),marginRight:t.css("marginRight")}).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()),/^(static|relative)/.test(i)&&(i="absolute",e=V("<"+t[0].nodeName+">").insertAfter(t).css({display:/^(inline|ruby)/.test(t.css("display"))?"inline-block":"block",visibility:"hidden",marginTop:t.css("marginTop"),marginBottom:t.css("marginBottom"),marginLeft:t.css("marginLeft"),marginRight:t.css("marginRight"),float:t.css("float")}).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).addClass("ui-effects-placeholder"),t.data(j+"placeholder",e)),t.css({position:i,left:s.left,top:s.top}),e},removePlaceholder:function(t){var e=j+"placeholder",i=t.data(e);i&&(i.remove(),t.removeData(e))},cleanUp:function(t){V.effects.restoreStyle(t),V.effects.removePlaceholder(t)},setTransition:function(s,t,n,o){return o=o||{},V.each(t,function(t,e){var i=s.cssUnit(e);0<i[0]&&(o[e]=i[0]*n+i[1])}),o}}),V.fn.extend({effect:function(){function t(t){var e=V(this),i=V.effects.mode(e,r)||o;e.data(K,!0),l.push(i),o&&("show"===i||i===o&&"hide"===i)&&e.show(),o&&"none"===i||V.effects.saveStyle(e),"function"==typeof t&&t()}var s=X.apply(this,arguments),n=V.effects.effect[s.effect],o=n.mode,e=s.queue,i=e||"fx",a=s.complete,r=s.mode,l=[];return V.fx.off||!n?r?this[r](s.duration,a):this.each(function(){a&&a.call(this)}):!1===e?this.each(t).each(h):this.queue(i,t).queue(i,h);function h(t){var e=V(this);function i(){"function"==typeof a&&a.call(e[0]),"function"==typeof t&&t()}s.mode=l.shift(),!1===V.uiBackCompat||o?"none"===s.mode?(e[r](),i()):n.call(e[0],s,function(){e.removeData(K),V.effects.cleanUp(e),"hide"===s.mode&&e.hide(),i()}):(e.is(":hidden")?"hide"===r:"show"===r)?(e[r](),i()):n.call(e[0],s,i)}},show:(R=V.fn.show,function(t){if($(t))return R.apply(this,arguments);t=X.apply(this,arguments);return t.mode="show",this.effect.call(this,t)}),hide:(L=V.fn.hide,function(t){if($(t))return L.apply(this,arguments);t=X.apply(this,arguments);return t.mode="hide",this.effect.call(this,t)}),toggle:(F=V.fn.toggle,function(t){if($(t)||"boolean"==typeof t)return F.apply(this,arguments);t=X.apply(this,arguments);return t.mode="toggle",this.effect.call(this,t)}),cssUnit:function(t){var i=this.css(t),s=[];return V.each(["em","px","%","pt"],function(t,e){0<i.indexOf(e)&&(s=[parseFloat(i),e])}),s},cssClip:function(t){return t?this.css("clip","rect("+t.top+"px "+t.right+"px "+t.bottom+"px "+t.left+"px)"):G(this.css("clip"),this)},transfer:function(t,e){var i=V(this),s=V(t.to),n="fixed"===s.css("position"),o=V("body"),a=n?o.scrollTop():0,r=n?o.scrollLeft():0,o=s.offset(),o={top:o.top-a,left:o.left-r,height:s.innerHeight(),width:s.innerWidth()},s=i.offset(),l=V("<div class='ui-effects-transfer'></div>");l.appendTo("body").addClass(t.className).css({top:s.top-a,left:s.left-r,height:i.innerHeight(),width:i.innerWidth(),position:n?"fixed":"absolute"}).animate(o,t.duration,t.easing,function(){l.remove(),"function"==typeof e&&e()})}}),V.fx.step.clip=function(t){t.clipInit||(t.start=V(t.elem).cssClip(),"string"==typeof t.end&&(t.end=G(t.end,t.elem)),t.clipInit=!0),V(t.elem).cssClip({top:t.pos*(t.end.top-t.start.top)+t.start.top,right:t.pos*(t.end.right-t.start.right)+t.start.right,bottom:t.pos*(t.end.bottom-t.start.bottom)+t.start.bottom,left:t.pos*(t.end.left-t.start.left)+t.start.left})},Y={},V.each(["Quad","Cubic","Quart","Quint","Expo"],function(e,t){Y[t]=function(t){return Math.pow(t,e+2)}}),V.extend(Y,{Sine:function(t){return 1-Math.cos(t*Math.PI/2)},Circ:function(t){return 1-Math.sqrt(1-t*t)},Elastic:function(t){return 0===t||1===t?t:-Math.pow(2,8*(t-1))*Math.sin((80*(t-1)-7.5)*Math.PI/15)},Back:function(t){return t*t*(3*t-2)},Bounce:function(t){for(var e,i=4;t<((e=Math.pow(2,--i))-1)/11;);return 1/Math.pow(4,3-i)-7.5625*Math.pow((3*e-2)/22-t,2)}}),V.each(Y,function(t,e){V.easing["easeIn"+t]=e,V.easing["easeOut"+t]=function(t){return 1-e(1-t)},V.easing["easeInOut"+t]=function(t){return t<.5?e(2*t)/2:1-e(-2*t+2)/2}});y=V.effects,V.effects.define("blind","hide",function(t,e){var i={up:["bottom","top"],vertical:["bottom","top"],down:["top","bottom"],left:["right","left"],horizontal:["right","left"],right:["left","right"]},s=V(this),n=t.direction||"up",o=s.cssClip(),a={clip:V.extend({},o)},r=V.effects.createPlaceholder(s);a.clip[i[n][0]]=a.clip[i[n][1]],"show"===t.mode&&(s.cssClip(a.clip),r&&r.css(V.effects.clipToBox(a)),a.clip=o),r&&r.animate(V.effects.clipToBox(a),t.duration,t.easing),s.animate(a,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("bounce",function(t,e){var i,s,n=V(this),o=t.mode,a="hide"===o,r="show"===o,l=t.direction||"up",h=t.distance,c=t.times||5,o=2*c+(r||a?1:0),u=t.duration/o,d=t.easing,p="up"===l||"down"===l?"top":"left",f="up"===l||"left"===l,g=0,t=n.queue().length;for(V.effects.createPlaceholder(n),l=n.css(p),h=h||n["top"==p?"outerHeight":"outerWidth"]()/3,r&&((s={opacity:1})[p]=l,n.css("opacity",0).css(p,f?2*-h:2*h).animate(s,u,d)),a&&(h/=Math.pow(2,c-1)),(s={})[p]=l;g<c;g++)(i={})[p]=(f?"-=":"+=")+h,n.animate(i,u,d).animate(s,u,d),h=a?2*h:h/2;a&&((i={opacity:0})[p]=(f?"-=":"+=")+h,n.animate(i,u,d)),n.queue(e),V.effects.unshift(n,t,1+o)}),V.effects.define("clip","hide",function(t,e){var i={},s=V(this),n=t.direction||"vertical",o="both"===n,a=o||"horizontal"===n,o=o||"vertical"===n,n=s.cssClip();i.clip={top:o?(n.bottom-n.top)/2:n.top,right:a?(n.right-n.left)/2:n.right,bottom:o?(n.bottom-n.top)/2:n.bottom,left:a?(n.right-n.left)/2:n.left},V.effects.createPlaceholder(s),"show"===t.mode&&(s.cssClip(i.clip),i.clip=n),s.animate(i,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("drop","hide",function(t,e){var i=V(this),s="show"===t.mode,n=t.direction||"left",o="up"===n||"down"===n?"top":"left",a="up"===n||"left"===n?"-=":"+=",r="+="==a?"-=":"+=",l={opacity:0};V.effects.createPlaceholder(i),n=t.distance||i["top"==o?"outerHeight":"outerWidth"](!0)/2,l[o]=a+n,s&&(i.css(l),l[o]=r+n,l.opacity=1),i.animate(l,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("explode","hide",function(t,e){var i,s,n,o,a,r,l=t.pieces?Math.round(Math.sqrt(t.pieces)):3,h=l,c=V(this),u="show"===t.mode,d=c.show().css("visibility","hidden").offset(),p=Math.ceil(c.outerWidth()/h),f=Math.ceil(c.outerHeight()/l),g=[];function m(){g.push(this),g.length===l*h&&(c.css({visibility:"visible"}),V(g).remove(),e())}for(i=0;i<l;i++)for(o=d.top+i*f,r=i-(l-1)/2,s=0;s<h;s++)n=d.left+s*p,a=s-(h-1)/2,c.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-s*p,top:-i*f}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:p,height:f,left:n+(u?a*p:0),top:o+(u?r*f:0),opacity:u?0:1}).animate({left:n+(u?0:a*p),top:o+(u?0:r*f),opacity:u?1:0},t.duration||500,t.easing,m)}),V.effects.define("fade","toggle",function(t,e){var i="show"===t.mode;V(this).css("opacity",i?0:1).animate({opacity:i?1:0},{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("fold","hide",function(e,t){var i=V(this),s=e.mode,n="show"===s,o="hide"===s,a=e.size||15,r=/([0-9]+)%/.exec(a),l=!!e.horizFirst?["right","bottom"]:["bottom","right"],h=e.duration/2,c=V.effects.createPlaceholder(i),u=i.cssClip(),d={clip:V.extend({},u)},p={clip:V.extend({},u)},f=[u[l[0]],u[l[1]]],s=i.queue().length;r&&(a=parseInt(r[1],10)/100*f[o?0:1]),d.clip[l[0]]=a,p.clip[l[0]]=a,p.clip[l[1]]=0,n&&(i.cssClip(p.clip),c&&c.css(V.effects.clipToBox(p)),p.clip=u),i.queue(function(t){c&&c.animate(V.effects.clipToBox(d),h,e.easing).animate(V.effects.clipToBox(p),h,e.easing),t()}).animate(d,h,e.easing).animate(p,h,e.easing).queue(t),V.effects.unshift(i,s,4)}),V.effects.define("highlight","show",function(t,e){var i=V(this),s={backgroundColor:i.css("backgroundColor")};"hide"===t.mode&&(s.opacity=0),V.effects.saveStyle(i),i.css({backgroundImage:"none",backgroundColor:t.color||"#ffff99"}).animate(s,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("size",function(s,e){var n,i=V(this),t=["fontSize"],o=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],a=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],r=s.mode,l="effect"!==r,h=s.scale||"both",c=s.origin||["middle","center"],u=i.css("position"),d=i.position(),p=V.effects.scaledDimensions(i),f=s.from||p,g=s.to||V.effects.scaledDimensions(i,0);V.effects.createPlaceholder(i),"show"===r&&(r=f,f=g,g=r),n={from:{y:f.height/p.height,x:f.width/p.width},to:{y:g.height/p.height,x:g.width/p.width}},"box"!==h&&"both"!==h||(n.from.y!==n.to.y&&(f=V.effects.setTransition(i,o,n.from.y,f),g=V.effects.setTransition(i,o,n.to.y,g)),n.from.x!==n.to.x&&(f=V.effects.setTransition(i,a,n.from.x,f),g=V.effects.setTransition(i,a,n.to.x,g))),"content"!==h&&"both"!==h||n.from.y!==n.to.y&&(f=V.effects.setTransition(i,t,n.from.y,f),g=V.effects.setTransition(i,t,n.to.y,g)),c&&(c=V.effects.getBaseline(c,p),f.top=(p.outerHeight-f.outerHeight)*c.y+d.top,f.left=(p.outerWidth-f.outerWidth)*c.x+d.left,g.top=(p.outerHeight-g.outerHeight)*c.y+d.top,g.left=(p.outerWidth-g.outerWidth)*c.x+d.left),delete f.outerHeight,delete f.outerWidth,i.css(f),"content"!==h&&"both"!==h||(o=o.concat(["marginTop","marginBottom"]).concat(t),a=a.concat(["marginLeft","marginRight"]),i.find("*[width]").each(function(){var t=V(this),e=V.effects.scaledDimensions(t),i={height:e.height*n.from.y,width:e.width*n.from.x,outerHeight:e.outerHeight*n.from.y,outerWidth:e.outerWidth*n.from.x},e={height:e.height*n.to.y,width:e.width*n.to.x,outerHeight:e.height*n.to.y,outerWidth:e.width*n.to.x};n.from.y!==n.to.y&&(i=V.effects.setTransition(t,o,n.from.y,i),e=V.effects.setTransition(t,o,n.to.y,e)),n.from.x!==n.to.x&&(i=V.effects.setTransition(t,a,n.from.x,i),e=V.effects.setTransition(t,a,n.to.x,e)),l&&V.effects.saveStyle(t),t.css(i),t.animate(e,s.duration,s.easing,function(){l&&V.effects.restoreStyle(t)})})),i.animate(g,{queue:!1,duration:s.duration,easing:s.easing,complete:function(){var t=i.offset();0===g.opacity&&i.css("opacity",f.opacity),l||(i.css("position","static"===u?"relative":u).offset(t),V.effects.saveStyle(i)),e()}})}),V.effects.define("scale",function(t,e){var i=V(this),s=t.mode,s=parseInt(t.percent,10)||(0===parseInt(t.percent,10)||"effect"!==s?0:100),s=V.extend(!0,{from:V.effects.scaledDimensions(i),to:V.effects.scaledDimensions(i,s,t.direction||"both"),origin:t.origin||["middle","center"]},t);t.fade&&(s.from.opacity=1,s.to.opacity=0),V.effects.effect.size.call(this,s,e)}),V.effects.define("puff","hide",function(t,e){t=V.extend(!0,{},t,{fade:!0,percent:parseInt(t.percent,10)||150});V.effects.effect.scale.call(this,t,e)}),V.effects.define("pulsate","show",function(t,e){var i=V(this),s=t.mode,n="show"===s,o=2*(t.times||5)+(n||"hide"===s?1:0),a=t.duration/o,r=0,l=1,s=i.queue().length;for(!n&&i.is(":visible")||(i.css("opacity",0).show(),r=1);l<o;l++)i.animate({opacity:r},a,t.easing),r=1-r;i.animate({opacity:r},a,t.easing),i.queue(e),V.effects.unshift(i,s,1+o)}),V.effects.define("shake",function(t,e){var i=1,s=V(this),n=t.direction||"left",o=t.distance||20,a=t.times||3,r=2*a+1,l=Math.round(t.duration/r),h="up"===n||"down"===n?"top":"left",c="up"===n||"left"===n,u={},d={},p={},n=s.queue().length;for(V.effects.createPlaceholder(s),u[h]=(c?"-=":"+=")+o,d[h]=(c?"+=":"-=")+2*o,p[h]=(c?"-=":"+=")+2*o,s.animate(u,l,t.easing);i<a;i++)s.animate(d,l,t.easing).animate(p,l,t.easing);s.animate(d,l,t.easing).animate(u,l/2,t.easing).queue(e),V.effects.unshift(s,n,1+r)}),V.effects.define("slide","show",function(t,e){var i,s,n=V(this),o={up:["bottom","top"],down:["top","bottom"],left:["right","left"],right:["left","right"]},a=t.mode,r=t.direction||"left",l="up"===r||"down"===r?"top":"left",h="up"===r||"left"===r,c=t.distance||n["top"==l?"outerHeight":"outerWidth"](!0),u={};V.effects.createPlaceholder(n),i=n.cssClip(),s=n.position()[l],u[l]=(h?-1:1)*c+s,u.clip=n.cssClip(),u.clip[o[r][1]]=u.clip[o[r][0]],"show"===a&&(n.cssClip(u.clip),n.css(l,u[l]),u.clip=i,u[l]=s),n.animate(u,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),y=!1!==V.uiBackCompat?V.effects.define("transfer",function(t,e){V(this).transfer(t,e)}):y;V.ui.focusable=function(t,e){var i,s,n,o,a=t.nodeName.toLowerCase();return"area"===a?(s=(i=t.parentNode).name,!(!t.href||!s||"map"!==i.nodeName.toLowerCase())&&(0<(s=V("img[usemap='#"+s+"']")).length&&s.is(":visible"))):(/^(input|select|textarea|button|object)$/.test(a)?(n=!t.disabled)&&(o=V(t).closest("fieldset")[0])&&(n=!o.disabled):n="a"===a&&t.href||e,n&&V(t).is(":visible")&&function(t){var e=t.css("visibility");for(;"inherit"===e;)t=t.parent(),e=t.css("visibility");return"visible"===e}(V(t)))},V.extend(V.expr.pseudos,{focusable:function(t){return V.ui.focusable(t,null!=V.attr(t,"tabindex"))}});var Q,J;V.ui.focusable,V.fn._form=function(){return"string"==typeof this[0].form?this.closest("form"):V(this[0].form)},V.ui.formResetMixin={_formResetHandler:function(){var e=V(this);setTimeout(function(){var t=e.data("ui-form-reset-instances");V.each(t,function(){this.refresh()})})},_bindFormResetHandler:function(){var t;this.form=this.element._form(),this.form.length&&((t=this.form.data("ui-form-reset-instances")||[]).length||this.form.on("reset.ui-form-reset",this._formResetHandler),t.push(this),this.form.data("ui-form-reset-instances",t))},_unbindFormResetHandler:function(){var t;this.form.length&&((t=this.form.data("ui-form-reset-instances")).splice(V.inArray(this,t),1),t.length?this.form.data("ui-form-reset-instances",t):this.form.removeData("ui-form-reset-instances").off("reset.ui-form-reset"))}};V.expr.pseudos||(V.expr.pseudos=V.expr[":"]),V.uniqueSort||(V.uniqueSort=V.unique),V.escapeSelector||(Q=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\x80-\uFFFF\w-]/g,J=function(t,e){return e?"\0"===t?"�":t.slice(0,-1)+"\\"+t.charCodeAt(t.length-1).toString(16)+" ":"\\"+t},V.escapeSelector=function(t){return(t+"").replace(Q,J)}),V.fn.even&&V.fn.odd||V.fn.extend({even:function(){return this.filter(function(t){return t%2==0})},odd:function(){return this.filter(function(t){return t%2==1})}});var Z;V.ui.keyCode={BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38},V.fn.labels=function(){var t,e,i;return this.length?this[0].labels&&this[0].labels.length?this.pushStack(this[0].labels):(e=this.eq(0).parents("label"),(t=this.attr("id"))&&(i=(i=this.eq(0).parents().last()).add((i.length?i:this).siblings()),t="label[for='"+V.escapeSelector(t)+"']",e=e.add(i.find(t).addBack(t))),this.pushStack(e)):this.pushStack([])},V.fn.scrollParent=function(t){var e=this.css("position"),i="absolute"===e,s=t?/(auto|scroll|hidden)/:/(auto|scroll)/,t=this.parents().filter(function(){var t=V(this);return(!i||"static"!==t.css("position"))&&s.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==e&&t.length?t:V(this[0].ownerDocument||document)},V.extend(V.expr.pseudos,{tabbable:function(t){var e=V.attr(t,"tabindex"),i=null!=e;return(!i||0<=e)&&V.ui.focusable(t,i)}}),V.fn.extend({uniqueId:(Z=0,function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++Z)})}),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&V(this).removeAttr("id")})}}),V.widget("ui.accordion",{version:"1.13.2",options:{active:0,animate:{},classes:{"ui-accordion-header":"ui-corner-top","ui-accordion-header-collapsed":"ui-corner-all","ui-accordion-content":"ui-corner-bottom"},collapsible:!1,event:"click",header:function(t){return t.find("> li > :first-child").add(t.find("> :not(li)").even())},heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=V(),this._addClass("ui-accordion","ui-widget ui-helper-reset"),this.element.attr("role","tablist"),t.collapsible||!1!==t.active&&null!=t.active||(t.active=0),this._processPanels(),t.active<0&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():V()}},_createIcons:function(){var t,e=this.options.icons;e&&(t=V("<span>"),this._addClass(t,"ui-accordion-header-icon","ui-icon "+e.header),t.prependTo(this.headers),t=this.active.children(".ui-accordion-header-icon"),this._removeClass(t,e.header)._addClass(t,null,e.activeHeader)._addClass(this.headers,"ui-accordion-icons"))},_destroyIcons:function(){this._removeClass(this.headers,"ui-accordion-icons"),this.headers.children(".ui-accordion-header-icon").remove()},_destroy:function(){var t;this.element.removeAttr("role"),this.headers.removeAttr("role aria-expanded aria-selected aria-controls tabIndex").removeUniqueId(),this._destroyIcons(),t=this.headers.next().css("display","").removeAttr("role aria-hidden aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&t.css("height","")},_setOption:function(t,e){"active"!==t?("event"===t&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(e)),this._super(t,e),"collapsible"!==t||e||!1!==this.options.active||this._activate(0),"icons"===t&&(this._destroyIcons(),e&&this._createIcons())):this._activate(e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t),this._toggleClass(this.headers.add(this.headers.next()),null,"ui-state-disabled",!!t)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var e=V.ui.keyCode,i=this.headers.length,s=this.headers.index(t.target),n=!1;switch(t.keyCode){case e.RIGHT:case e.DOWN:n=this.headers[(s+1)%i];break;case e.LEFT:case e.UP:n=this.headers[(s-1+i)%i];break;case e.SPACE:case e.ENTER:this._eventHandler(t);break;case e.HOME:n=this.headers[0];break;case e.END:n=this.headers[i-1]}n&&(V(t.target).attr("tabIndex",-1),V(n).attr("tabIndex",0),V(n).trigger("focus"),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===V.ui.keyCode.UP&&t.ctrlKey&&V(t.currentTarget).prev().trigger("focus")},refresh:function(){var t=this.options;this._processPanels(),!1===t.active&&!0===t.collapsible||!this.headers.length?(t.active=!1,this.active=V()):!1===t.active?this._activate(0):this.active.length&&!V.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=V()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var t=this.headers,e=this.panels;"function"==typeof this.options.header?this.headers=this.options.header(this.element):this.headers=this.element.find(this.options.header),this._addClass(this.headers,"ui-accordion-header ui-accordion-header-collapsed","ui-state-default"),this.panels=this.headers.next().filter(":not(.ui-accordion-content-active)").hide(),this._addClass(this.panels,"ui-accordion-content","ui-helper-reset ui-widget-content"),e&&(this._off(t.not(this.headers)),this._off(e.not(this.panels)))},_refresh:function(){var i,t=this.options,e=t.heightStyle,s=this.element.parent();this.active=this._findActive(t.active),this._addClass(this.active,"ui-accordion-header-active","ui-state-active")._removeClass(this.active,"ui-accordion-header-collapsed"),this._addClass(this.active.next(),"ui-accordion-content-active"),this.active.next().show(),this.headers.attr("role","tab").each(function(){var t=V(this),e=t.uniqueId().attr("id"),i=t.next(),s=i.uniqueId().attr("id");t.attr("aria-controls",s),i.attr("aria-labelledby",e)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(t.event),"fill"===e?(i=s.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.headers.each(function(){i-=V(this).outerHeight(!0)}),this.headers.next().each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===e&&(i=0,this.headers.next().each(function(){var t=V(this).is(":visible");t||V(this).show(),i=Math.max(i,V(this).css("height","").height()),t||V(this).hide()}).height(i))},_activate:function(t){t=this._findActive(t)[0];t!==this.active[0]&&(t=t||this.active[0],this._eventHandler({target:t,currentTarget:t,preventDefault:V.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):V()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&V.each(t.split(" "),function(t,e){i[e]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var e=this.options,i=this.active,s=V(t.currentTarget),n=s[0]===i[0],o=n&&e.collapsible,a=o?V():s.next(),r=i.next(),a={oldHeader:i,oldPanel:r,newHeader:o?V():s,newPanel:a};t.preventDefault(),n&&!e.collapsible||!1===this._trigger("beforeActivate",t,a)||(e.active=!o&&this.headers.index(s),this.active=n?V():s,this._toggle(a),this._removeClass(i,"ui-accordion-header-active","ui-state-active"),e.icons&&(i=i.children(".ui-accordion-header-icon"),this._removeClass(i,null,e.icons.activeHeader)._addClass(i,null,e.icons.header)),n||(this._removeClass(s,"ui-accordion-header-collapsed")._addClass(s,"ui-accordion-header-active","ui-state-active"),e.icons&&(n=s.children(".ui-accordion-header-icon"),this._removeClass(n,null,e.icons.header)._addClass(n,null,e.icons.activeHeader)),this._addClass(s.next(),"ui-accordion-content-active")))},_toggle:function(t){var e=t.newPanel,i=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=e,this.prevHide=i,this.options.animate?this._animate(e,i,t):(i.hide(),e.show(),this._toggleComplete(t)),i.attr({"aria-hidden":"true"}),i.prev().attr({"aria-selected":"false","aria-expanded":"false"}),e.length&&i.length?i.prev().attr({tabIndex:-1,"aria-expanded":"false"}):e.length&&this.headers.filter(function(){return 0===parseInt(V(this).attr("tabIndex"),10)}).attr("tabIndex",-1),e.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(t,i,e){var s,n,o,a=this,r=0,l=t.css("box-sizing"),h=t.length&&(!i.length||t.index()<i.index()),c=this.options.animate||{},u=h&&c.down||c,h=function(){a._toggleComplete(e)};return n=(n="string"==typeof u?u:n)||u.easing||c.easing,o=(o="number"==typeof u?u:o)||u.duration||c.duration,i.length?t.length?(s=t.show().outerHeight(),i.animate(this.hideProps,{duration:o,easing:n,step:function(t,e){e.now=Math.round(t)}}),void t.hide().animate(this.showProps,{duration:o,easing:n,complete:h,step:function(t,e){e.now=Math.round(t),"height"!==e.prop?"content-box"===l&&(r+=e.now):"content"!==a.options.heightStyle&&(e.now=Math.round(s-i.outerHeight()-r),r=0)}})):i.animate(this.hideProps,o,n,h):t.animate(this.showProps,o,n,h)},_toggleComplete:function(t){var e=t.oldPanel,i=e.prev();this._removeClass(e,"ui-accordion-content-active"),this._removeClass(i,"ui-accordion-header-active")._addClass(i,"ui-accordion-header-collapsed"),e.length&&(e.parent()[0].className=e.parent()[0].className),this._trigger("activate",null,t)}}),V.ui.safeActiveElement=function(e){var i;try{i=e.activeElement}catch(t){i=e.body}return i=!(i=i||e.body).nodeName?e.body:i},V.widget("ui.menu",{version:"1.13.2",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-caret-1-e"},items:"> *",menus:"ul",position:{my:"left top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.lastMousePosition={x:null,y:null},this.element.uniqueId().attr({role:this.options.role,tabIndex:0}),this._addClass("ui-menu","ui-widget ui-widget-content"),this._on({"mousedown .ui-menu-item":function(t){t.preventDefault(),this._activateItem(t)},"click .ui-menu-item":function(t){var e=V(t.target),i=V(V.ui.safeActiveElement(this.document[0]));!this.mouseHandled&&e.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),e.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&i.closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":"_activateItem","mousemove .ui-menu-item":"_activateItem",mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(t,e){var i=this.active||this._menuItems().first();e||this.focus(t,i)},blur:function(t){this._delay(function(){V.contains(this.element[0],V.ui.safeActiveElement(this.document[0]))||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(t){this._closeOnDocumentClick(t)&&this.collapseAll(t,!0),this.mouseHandled=!1}})},_activateItem:function(t){var e,i;this.previousFilter||t.clientX===this.lastMousePosition.x&&t.clientY===this.lastMousePosition.y||(this.lastMousePosition={x:t.clientX,y:t.clientY},e=V(t.target).closest(".ui-menu-item"),i=V(t.currentTarget),e[0]===i[0]&&(i.is(".ui-state-active")||(this._removeClass(i.siblings().children(".ui-state-active"),null,"ui-state-active"),this.focus(t,i))))},_destroy:function(){var t=this.element.find(".ui-menu-item").removeAttr("role aria-disabled").children(".ui-menu-item-wrapper").removeUniqueId().removeAttr("tabIndex role aria-haspopup");this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeAttr("role aria-labelledby aria-expanded aria-hidden aria-disabled tabIndex").removeUniqueId().show(),t.children().each(function(){var t=V(this);t.data("ui-menu-submenu-caret")&&t.remove()})},_keydown:function(t){var e,i,s,n=!0;switch(t.keyCode){case V.ui.keyCode.PAGE_UP:this.previousPage(t);break;case V.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case V.ui.keyCode.HOME:this._move("first","first",t);break;case V.ui.keyCode.END:this._move("last","last",t);break;case V.ui.keyCode.UP:this.previous(t);break;case V.ui.keyCode.DOWN:this.next(t);break;case V.ui.keyCode.LEFT:this.collapse(t);break;case V.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case V.ui.keyCode.ENTER:case V.ui.keyCode.SPACE:this._activate(t);break;case V.ui.keyCode.ESCAPE:this.collapse(t);break;default:e=this.previousFilter||"",s=n=!1,i=96<=t.keyCode&&t.keyCode<=105?(t.keyCode-96).toString():String.fromCharCode(t.keyCode),clearTimeout(this.filterTimer),i===e?s=!0:i=e+i,e=this._filterMenuItems(i),(e=s&&-1!==e.index(this.active.next())?this.active.nextAll(".ui-menu-item"):e).length||(i=String.fromCharCode(t.keyCode),e=this._filterMenuItems(i)),e.length?(this.focus(t,e),this.previousFilter=i,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}n&&t.preventDefault()},_activate:function(t){this.active&&!this.active.is(".ui-state-disabled")&&(this.active.children("[aria-haspopup='true']").length?this.expand(t):this.select(t))},refresh:function(){var t,e,s=this,n=this.options.icons.submenu,i=this.element.find(this.options.menus);this._toggleClass("ui-menu-icons",null,!!this.element.find(".ui-icon").length),e=i.filter(":not(.ui-menu)").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=V(this),e=t.prev(),i=V("<span>").data("ui-menu-submenu-caret",!0);s._addClass(i,"ui-menu-icon","ui-icon "+n),e.attr("aria-haspopup","true").prepend(i),t.attr("aria-labelledby",e.attr("id"))}),this._addClass(e,"ui-menu","ui-widget ui-widget-content ui-front"),(t=i.add(this.element).find(this.options.items)).not(".ui-menu-item").each(function(){var t=V(this);s._isDivider(t)&&s._addClass(t,"ui-menu-divider","ui-widget-content")}),i=(e=t.not(".ui-menu-item, .ui-menu-divider")).children().not(".ui-menu").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),this._addClass(e,"ui-menu-item")._addClass(i,"ui-menu-item-wrapper"),t.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!V.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(t,e){var i;"icons"===t&&(i=this.element.find(".ui-menu-icon"),this._removeClass(i,null,this.options.icons.submenu)._addClass(i,null,e.submenu)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",String(t)),this._toggleClass(null,"ui-state-disabled",!!t)},focus:function(t,e){var i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s<e+t&&this.activeMenu.scrollTop(i+e-s+t))},blur:function(t,e){e||clearTimeout(this.timer),this.active&&(this._removeClass(this.active.children(".ui-menu-item-wrapper"),null,"ui-state-active"),this._trigger("blur",t,{item:this.active}),this.active=null)},_startOpening:function(t){clearTimeout(this.timer),"true"===t.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(t)},this.delay))},_open:function(t){var e=V.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(e)},collapseAll:function(e,i){clearTimeout(this.timer),this.timer=this._delay(function(){var t=i?this.element:V(e&&e.target).closest(this.element.find(".ui-menu"));t.length||(t=this.element),this._close(t),this.blur(e),this._removeClass(t.find(".ui-state-active"),null,"ui-state-active"),this.activeMenu=t},i?0:this.delay)},_close:function(t){(t=t||(this.active?this.active.parent():this.element)).find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false")},_closeOnDocumentClick:function(t){return!V(t.target).closest(".ui-menu").length},_isDivider:function(t){return!/[^\-\u2014\u2013\s]/.test(t.text())},collapse:function(t){var e=this.active&&this.active.parent().closest(".ui-menu-item",this.element);e&&e.length&&(this._close(),this.focus(t,e))},expand:function(t){var e=this.active&&this._menuItems(this.active.children(".ui-menu")).first();e&&e.length&&(this._open(e.parent()),this._delay(function(){this.focus(t,e)}))},next:function(t){this._move("next","first",t)},previous:function(t){this._move("prev","last",t)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_menuItems:function(t){return(t||this.element).find(this.options.items).filter(".ui-menu-item")},_move:function(t,e,i){var s;(s=this.active?"first"===t||"last"===t?this.active["first"===t?"prevAll":"nextAll"](".ui-menu-item").last():this.active[t+"All"](".ui-menu-item").first():s)&&s.length&&this.active||(s=this._menuItems(this.activeMenu)[e]()),this.focus(i,s)},nextPage:function(t){var e,i,s;this.active?this.isLastItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.nextAll(".ui-menu-item").each(function(){return(e=V(this)).offset().top-i-s<0}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu)[this.active?"last":"first"]())):this.next(t)},previousPage:function(t){var e,i,s;this.active?this.isFirstItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.prevAll(".ui-menu-item").each(function(){return 0<(e=V(this)).offset().top-i+s}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu).first())):this.next(t)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||V(t.target).closest(".ui-menu-item");var e={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,e)},_filterMenuItems:function(t){var t=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),e=new RegExp("^"+t,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return e.test(String.prototype.trim.call(V(this).children(".ui-menu-item-wrapper").text()))})}});V.widget("ui.autocomplete",{version:"1.13.2",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:i=!0,this._move("previousPage",t);break;case e.PAGE_DOWN:i=!0,this._move("nextPage",t);break;case e.UP:i=!0,this._keyEvent("previous",t);break;case e.DOWN:i=!0,this._keyEvent("next",t);break;case e.ENTER:this.menu.active&&(i=!0,t.preventDefault(),this.menu.select(t));break;case e.TAB:this.menu.active&&this.menu.select(t);break;case e.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(t),t.preventDefault());break;default:s=!0,this._searchTimeout(t)}}},keypress:function(t){if(i)return i=!1,void(this.isMultiLine&&!this.menu.element.is(":visible")||t.preventDefault());if(!s){var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:this._move("previousPage",t);break;case e.PAGE_DOWN:this._move("nextPage",t);break;case e.UP:this._keyEvent("previous",t);break;case e.DOWN:this._keyEvent("next",t)}}},input:function(t){if(n)return n=!1,void t.preventDefault();this._searchTimeout(t)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(t){clearTimeout(this.searching),this.close(t),this._change(t)}}),this._initSource(),this.menu=V("<ul>").appendTo(this._appendTo()).menu({role:null}).hide().attr({unselectable:"on"}).menu("instance"),this._addClass(this.menu.element,"ui-autocomplete","ui-front"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault()},menufocus:function(t,e){var i,s;if(this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type)))return this.menu.blur(),void this.document.one("mousemove",function(){V(t.target).trigger(t.originalEvent)});s=e.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:s})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(s.value),(i=e.item.attr("aria-label")||s.value)&&String.prototype.trim.call(i).length&&(clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(i))},100))},menuselect:function(t,e){var i=e.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==V.ui.safeActiveElement(this.document[0])&&(this.element.trigger("focus"),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",t,{item:i})&&this._value(i.value),this.term=this._value(),this.close(t),this.selectedItem=i}}),this.liveRegion=V("<div>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(t,e){this._super(t,e),"source"===t&&this._initSource(),"appendTo"===t&&this.menu.element.appendTo(this._appendTo()),"disabled"===t&&e&&this.xhr&&this.xhr.abort()},_isEventTargetInWidget:function(t){var e=this.menu.element[0];return t.target===this.element[0]||t.target===e||V.contains(e,t.target)},_closeOnClickOutside:function(t){this._isEventTargetInWidget(t)||this.close()},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_initSource:function(){var i,s,n=this;Array.isArray(this.options.source)?(i=this.options.source,this.source=function(t,e){e(V.ui.autocomplete.filter(i,t.term))}):"string"==typeof this.options.source?(s=this.options.source,this.source=function(t,e){n.xhr&&n.xhr.abort(),n.xhr=V.ajax({url:s,data:t,dataType:"json",success:function(t){e(t)},error:function(){e([])}})}):this.source=this.options.source},_searchTimeout:function(s){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),e=this.menu.element.is(":visible"),i=s.altKey||s.ctrlKey||s.metaKey||s.shiftKey;t&&(e||i)||(this.selectedItem=null,this.search(null,s))},this.options.delay)},search:function(t,e){return t=null!=t?t:this._value(),this.term=this._value(),t.length<this.options.minLength?this.close(e):!1!==this._trigger("search",e)?this._search(t):void 0},_search:function(t){this.pending++,this._addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:t},this._response())},_response:function(){var e=++this.requestIndex;return function(t){e===this.requestIndex&&this.__response(t),this.pending--,this.pending||this._removeClass("ui-autocomplete-loading")}.bind(this)},__response:function(t){t=t&&this._normalize(t),this._trigger("response",null,{content:t}),!this.options.disabled&&t&&t.length&&!this.cancelSearch?(this._suggest(t),this._trigger("open")):this._close()},close:function(t){this.cancelSearch=!0,this._close(t)},_close:function(t){this._off(this.document,"mousedown"),this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",t))},_change:function(t){this.previous!==this._value()&&this._trigger("change",t,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:V.map(t,function(t){return"string"==typeof t?{label:t,value:t}:V.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var e=this.menu.element.empty();this._renderMenu(e,t),this.isNewMenu=!0,this.menu.refresh(),e.show(),this._resizeMenu(),e.position(V.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next(),this._on(this.document,{mousedown:"_closeOnClickOutside"})},_resizeMenu:function(){var t=this.menu.element;t.outerWidth(Math.max(t.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(i,t){var s=this;V.each(t,function(t,e){s._renderItemData(i,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-autocomplete-item",e)},_renderItem:function(t,e){return V("<li>").append(V("<div>").text(e.label)).appendTo(t)},_move:function(t,e){if(this.menu.element.is(":visible"))return this.menu.isFirstItem()&&/^previous/.test(t)||this.menu.isLastItem()&&/^next/.test(t)?(this.isMultiLine||this._value(this.term),void this.menu.blur()):void this.menu[t](e);this.search(null,e)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(t,e){this.isMultiLine&&!this.menu.element.is(":visible")||(this._move(t,e),e.preventDefault())},_isContentEditable:function(t){if(!t.length)return!1;var e=t.prop("contentEditable");return"inherit"===e?this._isContentEditable(t.parent()):"true"===e}}),V.extend(V.ui.autocomplete,{escapeRegex:function(t){return t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,e){var i=new RegExp(V.ui.autocomplete.escapeRegex(e),"i");return V.grep(t,function(t){return i.test(t.label||t.value||t)})}}),V.widget("ui.autocomplete",V.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(t){return t+(1<t?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var e;this._superApply(arguments),this.options.disabled||this.cancelSearch||(e=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(e))},100))}});V.ui.autocomplete;var tt=/ui-corner-([a-z]){2,6}/g;V.widget("ui.controlgroup",{version:"1.13.2",defaultElement:"<div>",options:{direction:"horizontal",disabled:null,onlyVisible:!0,items:{button:"input[type=button], input[type=submit], input[type=reset], button, a",controlgroupLabel:".ui-controlgroup-label",checkboxradio:"input[type='checkbox'], input[type='radio']",selectmenu:"select",spinner:".ui-spinner-input"}},_create:function(){this._enhance()},_enhance:function(){this.element.attr("role","toolbar"),this.refresh()},_destroy:function(){this._callChildMethod("destroy"),this.childWidgets.removeData("ui-controlgroup-data"),this.element.removeAttr("role"),this.options.items.controlgroupLabel&&this.element.find(this.options.items.controlgroupLabel).find(".ui-controlgroup-label-contents").contents().unwrap()},_initWidgets:function(){var o=this,a=[];V.each(this.options.items,function(s,t){var e,n={};if(t)return"controlgroupLabel"===s?((e=o.element.find(t)).each(function(){var t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("<span class='ui-controlgroup-label-contents'></span>")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.2",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio widget"),this.originalLabel="",(t=this.label.contents().not(this.element[0])).length&&(this.originalLabel+=t.clone().wrapAll("<div></div>").parent().html()),this.originalLabel&&(e.label=this.originalLabel),null!=(t=this.element[0].disabled)&&(e.disabled=t),e},_create:function(){var t=this.element[0].checked;this._bindFormResetHandler(),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled),this._setOption("disabled",this.options.disabled),this._addClass("ui-checkboxradio","ui-helper-hidden-accessible"),this._addClass(this.label,"ui-checkboxradio-label","ui-button ui-widget"),"radio"===this.type&&this._addClass(this.label,"ui-checkboxradio-radio-label"),this.options.label&&this.options.label!==this.originalLabel?this._updateLabel():this.originalLabel&&(this.options.label=this.originalLabel),this._enhance(),t&&this._addClass(this.label,"ui-checkboxradio-checked","ui-state-active"),this._on({change:"_toggleClasses",focus:function(){this._addClass(this.label,null,"ui-state-focus ui-visual-focus")},blur:function(){this._removeClass(this.label,null,"ui-state-focus ui-visual-focus")}})},_readType:function(){var t=this.element[0].nodeName.toLowerCase();this.type=this.element[0].type,"input"===t&&/radio|checkbox/.test(this.type)||V.error("Can't create checkboxradio on element.nodeName="+t+" and element.type="+this.type)},_enhance:function(){this._updateIcon(this.element[0].checked)},widget:function(){return this.label},_getRadioGroup:function(){var t=this.element[0].name,e="input[name='"+V.escapeSelector(t)+"']";return t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background ";this.options.icon?(this.icon||(this.icon=V("<span>"),this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-checkboxradio-icon-space")),"checkbox"===this.type?(e+=t?"ui-icon-check ui-state-checked":"ui-icon-blank",this._removeClass(this.icon,null,t?"ui-icon-blank":"ui-icon-check")):e+="ui-icon-blank",this._addClass(this.icon,"ui-checkboxradio-icon",e),t||this._removeClass(this.icon,null,"ui-icon-check ui-state-checked"),this.icon.prependTo(this.label).after(this.iconSpace)):void 0!==this.icon&&(this.icon.remove(),this.iconSpace.remove(),delete this.icon)},_updateLabel:function(){var t=this.label.contents().not(this.element[0]);this.icon&&(t=t.not(this.icon[0])),(t=this.iconSpace?t.not(this.iconSpace[0]):t).remove(),this.label.append(this.options.label)},refresh:function(){var t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.2",defaultElement:"<button>",options:{classes:{"ui-button":"ui-corner-all"},disabled:null,icon:null,iconPosition:"beginning",label:null,showLabel:!0},_getCreateOptions:function(){var t,e=this._super()||{};return this.isInput=this.element.is("input"),null!=(t=this.element[0].disabled)&&(e.disabled=t),this.originalLabel=this.isInput?this.element.val():this.element.html(),this.originalLabel&&(e.label=this.originalLabel),e},_create:function(){!this.option.showLabel&!this.options.icon&&(this.options.showLabel=!0),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled||!1),this.hasTitle=!!this.element.attr("title"),this.options.label&&this.options.label!==this.originalLabel&&(this.isInput?this.element.val(this.options.label):this.element.html(this.options.label)),this._addClass("ui-button","ui-widget"),this._setOption("disabled",this.options.disabled),this._enhance(),this.element.is("a")&&this._on({keyup:function(t){t.keyCode===V.ui.keyCode.SPACE&&(t.preventDefault(),this.element[0].click?this.element[0].click():this.element.trigger("click"))}})},_enhance:function(){this.element.is("button")||this.element.attr("role","button"),this.options.icon&&(this._updateIcon("icon",this.options.icon),this._updateTooltip())},_updateTooltip:function(){this.title=this.element.attr("title"),this.options.showLabel||this.title||this.element.attr("title",this.options.label)},_updateIcon:function(t,e){var i="iconPosition"!==t,s=i?this.options.iconPosition:e,t="top"===s||"bottom"===s;this.icon?i&&this._removeClass(this.icon,null,this.options.icon):(this.icon=V("<span>"),this._addClass(this.icon,"ui-button-icon","ui-icon"),this.options.showLabel||this._addClass("ui-button-icon-only")),i&&this._addClass(this.icon,null,e),this._attachIcon(s),t?(this._addClass(this.icon,null,"ui-widget-icon-block"),this.iconSpace&&this.iconSpace.remove()):(this.iconSpace||(this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-button-icon-space")),this._removeClass(this.icon,null,"ui-wiget-icon-block"),this._attachIconSpace(s))},_destroy:function(){this.element.removeAttr("role"),this.icon&&this.icon.remove(),this.iconSpace&&this.iconSpace.remove(),this.hasTitle||this.element.removeAttr("title")},_attachIconSpace:function(t){this.icon[/^(?:end|bottom)/.test(t)?"before":"after"](this.iconSpace)},_attachIcon:function(t){this.element[/^(?:end|bottom)/.test(t)?"append":"prepend"](this.icon)},_setOptions:function(t){var e=(void 0===t.showLabel?this.options:t).showLabel,i=(void 0===t.icon?this.options:t).icon;e||i||(t.showLabel=!0),this._super(t)},_setOption:function(t,e){"icon"===t&&(e?this._updateIcon(t,e):this.icon&&(this.icon.remove(),this.iconSpace&&this.iconSpace.remove())),"iconPosition"===t&&this._updateIcon(t,e),"showLabel"===t&&(this._toggleClass("ui-button-icon-only",null,!e),this._updateTooltip()),"label"===t&&(this.isInput?this.element.val(e):(this.element.html(e),this.icon&&(this._attachIcon(this.options.iconPosition),this._attachIconSpace(this.options.iconPosition)))),this._super(t,e),"disabled"===t&&(this._toggleClass(null,"ui-state-disabled",e),(this.element[0].disabled=e)&&this.element.trigger("blur"))},refresh:function(){var t=this.element.is("input, button")?this.element[0].disabled:this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOptions({disabled:t}),this._updateTooltip()}}),!1!==V.uiBackCompat&&(V.widget("ui.button",V.ui.button,{options:{text:!0,icons:{primary:null,secondary:null}},_create:function(){this.options.showLabel&&!this.options.text&&(this.options.showLabel=this.options.text),!this.options.showLabel&&this.options.text&&(this.options.text=this.options.showLabel),this.options.icon||!this.options.icons.primary&&!this.options.icons.secondary?this.options.icon&&(this.options.icons.primary=this.options.icon):this.options.icons.primary?this.options.icon=this.options.icons.primary:(this.options.icon=this.options.icons.secondary,this.options.iconPosition="end"),this._super()},_setOption:function(t,e){"text"!==t?("showLabel"===t&&(this.options.text=e),"icon"===t&&(this.options.icons.primary=e),"icons"===t&&(e.primary?(this._super("icon",e.primary),this._super("iconPosition","beginning")):e.secondary&&(this._super("icon",e.secondary),this._super("iconPosition","end"))),this._superApply(arguments)):this._super("showLabel",e)}}),V.fn.button=(et=V.fn.button,function(i){var t="string"==typeof i,s=Array.prototype.slice.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t=V(this).attr("type"),e=V.data(this,"ui-"+("checkbox"!==t&&"radio"!==t?"button":"checkboxradio"));return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?V.error("no such method '"+i+"' for button widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:V.error("cannot call methods on button prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=V.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=V(this).attr("type"),e="checkbox"!==t&&"radio"!==t?"button":"checkboxradio",t=V.data(this,"ui-"+e);t?(t.option(i||{}),t._init&&t._init()):"button"!=e?V(this).checkboxradio(V.extend({icon:!1},i)):et.call(V(this),i)})),n}),V.fn.buttonset=function(){return V.ui.controlgroup||V.error("Controlgroup widget missing"),"option"===arguments[0]&&"items"===arguments[1]&&arguments[2]?this.controlgroup.apply(this,[arguments[0],"items.button",arguments[2]]):"option"===arguments[0]&&"items"===arguments[1]?this.controlgroup.apply(this,[arguments[0],"items.button"]):("object"==typeof arguments[0]&&arguments[0].items&&(arguments[0].items={button:arguments[0].items}),this.controlgroup.apply(this,arguments))});var it;V.ui.button;function st(){this._curInst=null,this._keyEvent=!1,this._disabledInputs=[],this._datepickerShowing=!1,this._inDialog=!1,this._mainDivId="ui-datepicker-div",this._inlineClass="ui-datepicker-inline",this._appendClass="ui-datepicker-append",this._triggerClass="ui-datepicker-trigger",this._dialogClass="ui-datepicker-dialog",this._disableClass="ui-datepicker-disabled",this._unselectableClass="ui-datepicker-unselectable",this._currentClass="ui-datepicker-current-day",this._dayOverClass="ui-datepicker-days-cell-over",this.regional=[],this.regional[""]={closeText:"Done",prevText:"Prev",nextText:"Next",currentText:"Today",monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],weekHeader:"Wk",dateFormat:"mm/dd/yy",firstDay:0,isRTL:!1,showMonthAfterYear:!1,yearSuffix:"",selectMonthLabel:"Select month",selectYearLabel:"Select year"},this._defaults={showOn:"focus",showAnim:"fadeIn",showOptions:{},defaultDate:null,appendText:"",buttonText:"...",buttonImage:"",buttonImageOnly:!1,hideIfNoPrevNext:!1,navigationAsDateFormat:!1,gotoCurrent:!1,changeMonth:!1,changeYear:!1,yearRange:"c-10:c+10",showOtherMonths:!1,selectOtherMonths:!1,showWeek:!1,calculateWeek:this.iso8601Week,shortYearCutoff:"+10",minDate:null,maxDate:null,duration:"fast",beforeShowDay:null,beforeShow:null,onSelect:null,onChangeMonthYear:null,onClose:null,onUpdateDatepicker:null,numberOfMonths:1,showCurrentAtPos:0,stepMonths:1,stepBigMonths:12,altField:"",altFormat:"",constrainInput:!0,showButtonPanel:!1,autoSize:!1,disabled:!1},V.extend(this._defaults,this.regional[""]),this.regional.en=V.extend(!0,{},this.regional[""]),this.regional["en-US"]=V.extend(!0,{},this.regional.en),this.dpDiv=nt(V("<div id='"+this._mainDivId+"' class='ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>"))}function nt(t){var e="button, .ui-datepicker-prev, .ui-datepicker-next, .ui-datepicker-calendar td a";return t.on("mouseout",e,function(){V(this).removeClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).removeClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).removeClass("ui-datepicker-next-hover")}).on("mouseover",e,ot)}function ot(){V.datepicker._isDisabledDatepicker((it.inline?it.dpDiv.parent():it.input)[0])||(V(this).parents(".ui-datepicker-calendar").find("a").removeClass("ui-state-hover"),V(this).addClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).addClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).addClass("ui-datepicker-next-hover"))}function at(t,e){for(var i in V.extend(t,e),e)null==e[i]&&(t[i]=e[i]);return t}V.extend(V.ui,{datepicker:{version:"1.13.2"}}),V.extend(st.prototype,{markerClassName:"hasDatepicker",maxRows:4,_widgetDatepicker:function(){return this.dpDiv},setDefaults:function(t){return at(this._defaults,t||{}),this},_attachDatepicker:function(t,e){var i,s=t.nodeName.toLowerCase(),n="div"===s||"span"===s;t.id||(this.uuid+=1,t.id="dp"+this.uuid),(i=this._newInst(V(t),n)).settings=V.extend({},e||{}),"input"===s?this._connectDatepicker(t,i):n&&this._inlineDatepicker(t,i)},_newInst:function(t,e){return{id:t[0].id.replace(/([^A-Za-z0-9_\-])/g,"\\\\$1"),input:t,selectedDay:0,selectedMonth:0,selectedYear:0,drawMonth:0,drawYear:0,inline:e,dpDiv:e?nt(V("<div class='"+this._inlineClass+" ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>")):this.dpDiv}},_connectDatepicker:function(t,e){var i=V(t);e.append=V([]),e.trigger=V([]),i.hasClass(this.markerClassName)||(this._attachments(i,e),i.addClass(this.markerClassName).on("keydown",this._doKeyDown).on("keypress",this._doKeyPress).on("keyup",this._doKeyUp),this._autoSize(e),V.data(t,"datepicker",e),e.settings.disabled&&this._disableDatepicker(t))},_attachments:function(t,e){var i,s=this._get(e,"appendText"),n=this._get(e,"isRTL");e.append&&e.append.remove(),s&&(e.append=V("<span>").addClass(this._appendClass).text(s),t[n?"before":"after"](e.append)),t.off("focus",this._showDatepicker),e.trigger&&e.trigger.remove(),"focus"!==(i=this._get(e,"showOn"))&&"both"!==i||t.on("focus",this._showDatepicker),"button"!==i&&"both"!==i||(s=this._get(e,"buttonText"),i=this._get(e,"buttonImage"),this._get(e,"buttonImageOnly")?e.trigger=V("<img>").addClass(this._triggerClass).attr({src:i,alt:s,title:s}):(e.trigger=V("<button type='button'>").addClass(this._triggerClass),i?e.trigger.html(V("<img>").attr({src:i,alt:s,title:s})):e.trigger.text(s)),t[n?"before":"after"](e.trigger),e.trigger.on("click",function(){return V.datepicker._datepickerShowing&&V.datepicker._lastInput===t[0]?V.datepicker._hideDatepicker():(V.datepicker._datepickerShowing&&V.datepicker._lastInput!==t[0]&&V.datepicker._hideDatepicker(),V.datepicker._showDatepicker(t[0])),!1}))},_autoSize:function(t){var e,i,s,n,o,a;this._get(t,"autoSize")&&!t.inline&&(o=new Date(2009,11,20),(a=this._get(t,"dateFormat")).match(/[DM]/)&&(e=function(t){for(n=s=i=0;n<t.length;n++)t[n].length>i&&(i=t[n].length,s=n);return s},o.setMonth(e(this._get(t,a.match(/MM/)?"monthNames":"monthNamesShort"))),o.setDate(e(this._get(t,a.match(/DD/)?"dayNames":"dayNamesShort"))+20-o.getDay())),t.input.attr("size",this._formatDate(t,o).length))},_inlineDatepicker:function(t,e){var i=V(t);i.hasClass(this.markerClassName)||(i.addClass(this.markerClassName).append(e.dpDiv),V.data(t,"datepicker",e),this._setDate(e,this._getDefaultDate(e),!0),this._updateDatepicker(e),this._updateAlternate(e),e.settings.disabled&&this._disableDatepicker(t),e.dpDiv.css("display","block"))},_dialogDatepicker:function(t,e,i,s,n){var o,a=this._dialogInst;return a||(this.uuid+=1,o="dp"+this.uuid,this._dialogInput=V("<input type='text' id='"+o+"' style='position: absolute; top: -100px; width: 0px;'/>"),this._dialogInput.on("keydown",this._doKeyDown),V("body").append(this._dialogInput),(a=this._dialogInst=this._newInst(this._dialogInput,!1)).settings={},V.data(this._dialogInput[0],"datepicker",a)),at(a.settings,s||{}),e=e&&e.constructor===Date?this._formatDate(a,e):e,this._dialogInput.val(e),this._pos=n?n.length?n:[n.pageX,n.pageY]:null,this._pos||(o=document.documentElement.clientWidth,s=document.documentElement.clientHeight,e=document.documentElement.scrollLeft||document.body.scrollLeft,n=document.documentElement.scrollTop||document.body.scrollTop,this._pos=[o/2-100+e,s/2-150+n]),this._dialogInput.css("left",this._pos[0]+20+"px").css("top",this._pos[1]+"px"),a.settings.onSelect=i,this._inDialog=!0,this.dpDiv.addClass(this._dialogClass),this._showDatepicker(this._dialogInput[0]),V.blockUI&&V.blockUI(this.dpDiv),V.data(this._dialogInput[0],"datepicker",a),this},_destroyDatepicker:function(t){var e,i=V(t),s=V.data(t,"datepicker");i.hasClass(this.markerClassName)&&(e=t.nodeName.toLowerCase(),V.removeData(t,"datepicker"),"input"===e?(s.append.remove(),s.trigger.remove(),i.removeClass(this.markerClassName).off("focus",this._showDatepicker).off("keydown",this._doKeyDown).off("keypress",this._doKeyPress).off("keyup",this._doKeyUp)):"div"!==e&&"span"!==e||i.removeClass(this.markerClassName).empty(),it===s&&(it=null,this._curInst=null))},_enableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!1,s.trigger.filter("button").each(function(){this.disabled=!1}).end().filter("img").css({opacity:"1.0",cursor:""})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().removeClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!1)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}))},_disableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!0,s.trigger.filter("button").each(function(){this.disabled=!0}).end().filter("img").css({opacity:"0.5",cursor:"default"})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().addClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!0)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}),this._disabledInputs[this._disabledInputs.length]=e)},_isDisabledDatepicker:function(t){if(!t)return!1;for(var e=0;e<this._disabledInputs.length;e++)if(this._disabledInputs[e]===t)return!0;return!1},_getInst:function(t){try{return V.data(t,"datepicker")}catch(t){throw"Missing instance data for this datepicker"}},_optionDatepicker:function(t,e,i){var s,n,o=this._getInst(t);if(2===arguments.length&&"string"==typeof e)return"defaults"===e?V.extend({},V.datepicker._defaults):o?"all"===e?V.extend({},o.settings):this._get(o,e):null;s=e||{},"string"==typeof e&&((s={})[e]=i),o&&(this._curInst===o&&this._hideDatepicker(),n=this._getDateDatepicker(t,!0),e=this._getMinMaxDate(o,"min"),i=this._getMinMaxDate(o,"max"),at(o.settings,s),null!==e&&void 0!==s.dateFormat&&void 0===s.minDate&&(o.settings.minDate=this._formatDate(o,e)),null!==i&&void 0!==s.dateFormat&&void 0===s.maxDate&&(o.settings.maxDate=this._formatDate(o,i)),"disabled"in s&&(s.disabled?this._disableDatepicker(t):this._enableDatepicker(t)),this._attachments(V(t),o),this._autoSize(o),this._setDate(o,n),this._updateAlternate(o),this._updateDatepicker(o))},_changeDatepicker:function(t,e,i){this._optionDatepicker(t,e,i)},_refreshDatepicker:function(t){t=this._getInst(t);t&&this._updateDatepicker(t)},_setDateDatepicker:function(t,e){t=this._getInst(t);t&&(this._setDate(t,e),this._updateDatepicker(t),this._updateAlternate(t))},_getDateDatepicker:function(t,e){t=this._getInst(t);return t&&!t.inline&&this._setDateFromField(t,e),t?this._getDate(t):null},_doKeyDown:function(t){var e,i,s=V.datepicker._getInst(t.target),n=!0,o=s.dpDiv.is(".ui-datepicker-rtl");if(s._keyEvent=!0,V.datepicker._datepickerShowing)switch(t.keyCode){case 9:V.datepicker._hideDatepicker(),n=!1;break;case 13:return(i=V("td."+V.datepicker._dayOverClass+":not(."+V.datepicker._currentClass+")",s.dpDiv))[0]&&V.datepicker._selectDay(t.target,s.selectedMonth,s.selectedYear,i[0]),(e=V.datepicker._get(s,"onSelect"))?(i=V.datepicker._formatDate(s),e.apply(s.input?s.input[0]:null,[i,s])):V.datepicker._hideDatepicker(),!1;case 27:V.datepicker._hideDatepicker();break;case 33:V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 34:V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 35:(t.ctrlKey||t.metaKey)&&V.datepicker._clearDate(t.target),n=t.ctrlKey||t.metaKey;break;case 36:(t.ctrlKey||t.metaKey)&&V.datepicker._gotoToday(t.target),n=t.ctrlKey||t.metaKey;break;case 37:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?1:-1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 38:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,-7,"D"),n=t.ctrlKey||t.metaKey;break;case 39:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?-1:1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 40:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,7,"D"),n=t.ctrlKey||t.metaKey;break;default:n=!1}else 36===t.keyCode&&t.ctrlKey?V.datepicker._showDatepicker(this):n=!1;n&&(t.preventDefault(),t.stopPropagation())},_doKeyPress:function(t){var e,i=V.datepicker._getInst(t.target);if(V.datepicker._get(i,"constrainInput"))return e=V.datepicker._possibleChars(V.datepicker._get(i,"dateFormat")),i=String.fromCharCode(null==t.charCode?t.keyCode:t.charCode),t.ctrlKey||t.metaKey||i<" "||!e||-1<e.indexOf(i)},_doKeyUp:function(t){t=V.datepicker._getInst(t.target);if(t.input.val()!==t.lastVal)try{V.datepicker.parseDate(V.datepicker._get(t,"dateFormat"),t.input?t.input.val():null,V.datepicker._getFormatConfig(t))&&(V.datepicker._setDateFromField(t),V.datepicker._updateAlternate(t),V.datepicker._updateDatepicker(t))}catch(t){}return!0},_showDatepicker:function(t){var e,i,s,n;"input"!==(t=t.target||t).nodeName.toLowerCase()&&(t=V("input",t.parentNode)[0]),V.datepicker._isDisabledDatepicker(t)||V.datepicker._lastInput===t||(n=V.datepicker._getInst(t),V.datepicker._curInst&&V.datepicker._curInst!==n&&(V.datepicker._curInst.dpDiv.stop(!0,!0),n&&V.datepicker._datepickerShowing&&V.datepicker._hideDatepicker(V.datepicker._curInst.input[0])),!1!==(i=(s=V.datepicker._get(n,"beforeShow"))?s.apply(t,[t,n]):{})&&(at(n.settings,i),n.lastVal=null,V.datepicker._lastInput=t,V.datepicker._setDateFromField(n),V.datepicker._inDialog&&(t.value=""),V.datepicker._pos||(V.datepicker._pos=V.datepicker._findPos(t),V.datepicker._pos[1]+=t.offsetHeight),e=!1,V(t).parents().each(function(){return!(e|="fixed"===V(this).css("position"))}),s={left:V.datepicker._pos[0],top:V.datepicker._pos[1]},V.datepicker._pos=null,n.dpDiv.empty(),n.dpDiv.css({position:"absolute",display:"block",top:"-1000px"}),V.datepicker._updateDatepicker(n),s=V.datepicker._checkOffset(n,s,e),n.dpDiv.css({position:V.datepicker._inDialog&&V.blockUI?"static":e?"fixed":"absolute",display:"none",left:s.left+"px",top:s.top+"px"}),n.inline||(i=V.datepicker._get(n,"showAnim"),s=V.datepicker._get(n,"duration"),n.dpDiv.css("z-index",function(t){for(var e,i;t.length&&t[0]!==document;){if(("absolute"===(e=t.css("position"))||"relative"===e||"fixed"===e)&&(i=parseInt(t.css("zIndex"),10),!isNaN(i)&&0!==i))return i;t=t.parent()}return 0}(V(t))+1),V.datepicker._datepickerShowing=!0,V.effects&&V.effects.effect[i]?n.dpDiv.show(i,V.datepicker._get(n,"showOptions"),s):n.dpDiv[i||"show"](i?s:null),V.datepicker._shouldFocusInput(n)&&n.input.trigger("focus"),V.datepicker._curInst=n)))},_updateDatepicker:function(t){this.maxRows=4,(it=t).dpDiv.empty().append(this._generateHTML(t)),this._attachHandlers(t);var e,i=this._getNumberOfMonths(t),s=i[1],n=t.dpDiv.find("."+this._dayOverClass+" a"),o=V.datepicker._get(t,"onUpdateDatepicker");0<n.length&&ot.apply(n.get(0)),t.dpDiv.removeClass("ui-datepicker-multi-2 ui-datepicker-multi-3 ui-datepicker-multi-4").width(""),1<s&&t.dpDiv.addClass("ui-datepicker-multi-"+s).css("width",17*s+"em"),t.dpDiv[(1!==i[0]||1!==i[1]?"add":"remove")+"Class"]("ui-datepicker-multi"),t.dpDiv[(this._get(t,"isRTL")?"add":"remove")+"Class"]("ui-datepicker-rtl"),t===V.datepicker._curInst&&V.datepicker._datepickerShowing&&V.datepicker._shouldFocusInput(t)&&t.input.trigger("focus"),t.yearshtml&&(e=t.yearshtml,setTimeout(function(){e===t.yearshtml&&t.yearshtml&&t.dpDiv.find("select.ui-datepicker-year").first().replaceWith(t.yearshtml),e=t.yearshtml=null},0)),o&&o.apply(t.input?t.input[0]:null,[t])},_shouldFocusInput:function(t){return t.input&&t.input.is(":visible")&&!t.input.is(":disabled")&&!t.input.is(":focus")},_checkOffset:function(t,e,i){var s=t.dpDiv.outerWidth(),n=t.dpDiv.outerHeight(),o=t.input?t.input.outerWidth():0,a=t.input?t.input.outerHeight():0,r=document.documentElement.clientWidth+(i?0:V(document).scrollLeft()),l=document.documentElement.clientHeight+(i?0:V(document).scrollTop());return e.left-=this._get(t,"isRTL")?s-o:0,e.left-=i&&e.left===t.input.offset().left?V(document).scrollLeft():0,e.top-=i&&e.top===t.input.offset().top+a?V(document).scrollTop():0,e.left-=Math.min(e.left,e.left+s>r&&s<r?Math.abs(e.left+s-r):0),e.top-=Math.min(e.top,e.top+n>l&&n<l?Math.abs(n+a):0),e},_findPos:function(t){for(var e=this._getInst(t),i=this._get(e,"isRTL");t&&("hidden"===t.type||1!==t.nodeType||V.expr.pseudos.hidden(t));)t=t[i?"previousSibling":"nextSibling"];return[(e=V(t).offset()).left,e.top]},_hideDatepicker:function(t){var e,i,s=this._curInst;!s||t&&s!==V.data(t,"datepicker")||this._datepickerShowing&&(e=this._get(s,"showAnim"),i=this._get(s,"duration"),t=function(){V.datepicker._tidyDialog(s)},V.effects&&(V.effects.effect[e]||V.effects[e])?s.dpDiv.hide(e,V.datepicker._get(s,"showOptions"),i,t):s.dpDiv["slideDown"===e?"slideUp":"fadeIn"===e?"fadeOut":"hide"](e?i:null,t),e||t(),this._datepickerShowing=!1,(t=this._get(s,"onClose"))&&t.apply(s.input?s.input[0]:null,[s.input?s.input.val():"",s]),this._lastInput=null,this._inDialog&&(this._dialogInput.css({position:"absolute",left:"0",top:"-100px"}),V.blockUI&&(V.unblockUI(),V("body").append(this.dpDiv))),this._inDialog=!1)},_tidyDialog:function(t){t.dpDiv.removeClass(this._dialogClass).off(".ui-datepicker-calendar")},_checkExternalClick:function(t){var e;V.datepicker._curInst&&(e=V(t.target),t=V.datepicker._getInst(e[0]),(e[0].id===V.datepicker._mainDivId||0!==e.parents("#"+V.datepicker._mainDivId).length||e.hasClass(V.datepicker.markerClassName)||e.closest("."+V.datepicker._triggerClass).length||!V.datepicker._datepickerShowing||V.datepicker._inDialog&&V.blockUI)&&(!e.hasClass(V.datepicker.markerClassName)||V.datepicker._curInst===t)||V.datepicker._hideDatepicker())},_adjustDate:function(t,e,i){var s=V(t),t=this._getInst(s[0]);this._isDisabledDatepicker(s[0])||(this._adjustInstDate(t,e,i),this._updateDatepicker(t))},_gotoToday:function(t){var e=V(t),i=this._getInst(e[0]);this._get(i,"gotoCurrent")&&i.currentDay?(i.selectedDay=i.currentDay,i.drawMonth=i.selectedMonth=i.currentMonth,i.drawYear=i.selectedYear=i.currentYear):(t=new Date,i.selectedDay=t.getDate(),i.drawMonth=i.selectedMonth=t.getMonth(),i.drawYear=i.selectedYear=t.getFullYear()),this._notifyChange(i),this._adjustDate(e)},_selectMonthYear:function(t,e,i){var s=V(t),t=this._getInst(s[0]);t["selected"+("M"===i?"Month":"Year")]=t["draw"+("M"===i?"Month":"Year")]=parseInt(e.options[e.selectedIndex].value,10),this._notifyChange(t),this._adjustDate(s)},_selectDay:function(t,e,i,s){var n=V(t);V(s).hasClass(this._unselectableClass)||this._isDisabledDatepicker(n[0])||((n=this._getInst(n[0])).selectedDay=n.currentDay=parseInt(V("a",s).attr("data-date")),n.selectedMonth=n.currentMonth=e,n.selectedYear=n.currentYear=i,this._selectDate(t,this._formatDate(n,n.currentDay,n.currentMonth,n.currentYear)))},_clearDate:function(t){t=V(t);this._selectDate(t,"")},_selectDate:function(t,e){var i=V(t),t=this._getInst(i[0]);e=null!=e?e:this._formatDate(t),t.input&&t.input.val(e),this._updateAlternate(t),(i=this._get(t,"onSelect"))?i.apply(t.input?t.input[0]:null,[e,t]):t.input&&t.input.trigger("change"),t.inline?this._updateDatepicker(t):(this._hideDatepicker(),this._lastInput=t.input[0],"object"!=typeof t.input[0]&&t.input.trigger("focus"),this._lastInput=null)},_updateAlternate:function(t){var e,i,s=this._get(t,"altField");s&&(e=this._get(t,"altFormat")||this._get(t,"dateFormat"),i=this._getDate(t),t=this.formatDate(e,i,this._getFormatConfig(t)),V(document).find(s).val(t))},noWeekends:function(t){t=t.getDay();return[0<t&&t<6,""]},iso8601Week:function(t){var e=new Date(t.getTime());return e.setDate(e.getDate()+4-(e.getDay()||7)),t=e.getTime(),e.setMonth(0),e.setDate(1),Math.floor(Math.round((t-e)/864e5)/7)+1},parseDate:function(e,n,t){if(null==e||null==n)throw"Invalid arguments";if(""===(n="object"==typeof n?n.toString():n+""))return null;for(var i,s,o,a=0,r=(t?t.shortYearCutoff:null)||this._defaults.shortYearCutoff,r="string"!=typeof r?r:(new Date).getFullYear()%100+parseInt(r,10),l=(t?t.dayNamesShort:null)||this._defaults.dayNamesShort,h=(t?t.dayNames:null)||this._defaults.dayNames,c=(t?t.monthNamesShort:null)||this._defaults.monthNamesShort,u=(t?t.monthNames:null)||this._defaults.monthNames,d=-1,p=-1,f=-1,g=-1,m=!1,_=function(t){t=w+1<e.length&&e.charAt(w+1)===t;return t&&w++,t},v=function(t){var e=_(t),e="@"===t?14:"!"===t?20:"y"===t&&e?4:"o"===t?3:2,e=new RegExp("^\\d{"+("y"===t?e:1)+","+e+"}"),e=n.substring(a).match(e);if(!e)throw"Missing number at position "+a;return a+=e[0].length,parseInt(e[0],10)},b=function(t,e,i){var s=-1,e=V.map(_(t)?i:e,function(t,e){return[[e,t]]}).sort(function(t,e){return-(t[1].length-e[1].length)});if(V.each(e,function(t,e){var i=e[1];if(n.substr(a,i.length).toLowerCase()===i.toLowerCase())return s=e[0],a+=i.length,!1}),-1!==s)return s+1;throw"Unknown name at position "+a},y=function(){if(n.charAt(a)!==e.charAt(w))throw"Unexpected literal at position "+a;a++},w=0;w<e.length;w++)if(m)"'"!==e.charAt(w)||_("'")?y():m=!1;else switch(e.charAt(w)){case"d":f=v("d");break;case"D":b("D",l,h);break;case"o":g=v("o");break;case"m":p=v("m");break;case"M":p=b("M",c,u);break;case"y":d=v("y");break;case"@":d=(o=new Date(v("@"))).getFullYear(),p=o.getMonth()+1,f=o.getDate();break;case"!":d=(o=new Date((v("!")-this._ticksTo1970)/1e4)).getFullYear(),p=o.getMonth()+1,f=o.getDate();break;case"'":_("'")?y():m=!0;break;default:y()}if(a<n.length&&(s=n.substr(a),!/^\s+/.test(s)))throw"Extra/unparsed characters found in date: "+s;if(-1===d?d=(new Date).getFullYear():d<100&&(d+=(new Date).getFullYear()-(new Date).getFullYear()%100+(d<=r?0:-100)),-1<g)for(p=1,f=g;;){if(f<=(i=this._getDaysInMonth(d,p-1)))break;p++,f-=i}if((o=this._daylightSavingAdjust(new Date(d,p-1,f))).getFullYear()!==d||o.getMonth()+1!==p||o.getDate()!==f)throw"Invalid date";return o},ATOM:"yy-mm-dd",COOKIE:"D, dd M yy",ISO_8601:"yy-mm-dd",RFC_822:"D, d M y",RFC_850:"DD, dd-M-y",RFC_1036:"D, d M y",RFC_1123:"D, d M yy",RFC_2822:"D, d M yy",RSS:"D, d M y",TICKS:"!",TIMESTAMP:"@",W3C:"yy-mm-dd",_ticksTo1970:24*(718685+Math.floor(492.5)-Math.floor(19.7)+Math.floor(4.925))*60*60*1e7,formatDate:function(e,t,i){if(!t)return"";function s(t,e,i){var s=""+e;if(c(t))for(;s.length<i;)s="0"+s;return s}function n(t,e,i,s){return(c(t)?s:i)[e]}var o,a=(i?i.dayNamesShort:null)||this._defaults.dayNamesShort,r=(i?i.dayNames:null)||this._defaults.dayNames,l=(i?i.monthNamesShort:null)||this._defaults.monthNamesShort,h=(i?i.monthNames:null)||this._defaults.monthNames,c=function(t){t=o+1<e.length&&e.charAt(o+1)===t;return t&&o++,t},u="",d=!1;if(t)for(o=0;o<e.length;o++)if(d)"'"!==e.charAt(o)||c("'")?u+=e.charAt(o):d=!1;else switch(e.charAt(o)){case"d":u+=s("d",t.getDate(),2);break;case"D":u+=n("D",t.getDay(),a,r);break;case"o":u+=s("o",Math.round((new Date(t.getFullYear(),t.getMonth(),t.getDate()).getTime()-new Date(t.getFullYear(),0,0).getTime())/864e5),3);break;case"m":u+=s("m",t.getMonth()+1,2);break;case"M":u+=n("M",t.getMonth(),l,h);break;case"y":u+=c("y")?t.getFullYear():(t.getFullYear()%100<10?"0":"")+t.getFullYear()%100;break;case"@":u+=t.getTime();break;case"!":u+=1e4*t.getTime()+this._ticksTo1970;break;case"'":c("'")?u+="'":d=!0;break;default:u+=e.charAt(o)}return u},_possibleChars:function(e){for(var t="",i=!1,s=function(t){t=n+1<e.length&&e.charAt(n+1)===t;return t&&n++,t},n=0;n<e.length;n++)if(i)"'"!==e.charAt(n)||s("'")?t+=e.charAt(n):i=!1;else switch(e.charAt(n)){case"d":case"m":case"y":case"@":t+="0123456789";break;case"D":case"M":return null;case"'":s("'")?t+="'":i=!0;break;default:t+=e.charAt(n)}return t},_get:function(t,e){return(void 0!==t.settings[e]?t.settings:this._defaults)[e]},_setDateFromField:function(t,e){if(t.input.val()!==t.lastVal){var i=this._get(t,"dateFormat"),s=t.lastVal=t.input?t.input.val():null,n=this._getDefaultDate(t),o=n,a=this._getFormatConfig(t);try{o=this.parseDate(i,s,a)||n}catch(t){s=e?"":s}t.selectedDay=o.getDate(),t.drawMonth=t.selectedMonth=o.getMonth(),t.drawYear=t.selectedYear=o.getFullYear(),t.currentDay=s?o.getDate():0,t.currentMonth=s?o.getMonth():0,t.currentYear=s?o.getFullYear():0,this._adjustInstDate(t)}},_getDefaultDate:function(t){return this._restrictMinMax(t,this._determineDate(t,this._get(t,"defaultDate"),new Date))},_determineDate:function(r,t,e){var i,s,t=null==t||""===t?e:"string"==typeof t?function(t){try{return V.datepicker.parseDate(V.datepicker._get(r,"dateFormat"),t,V.datepicker._getFormatConfig(r))}catch(t){}for(var e=(t.toLowerCase().match(/^c/)?V.datepicker._getDate(r):null)||new Date,i=e.getFullYear(),s=e.getMonth(),n=e.getDate(),o=/([+\-]?[0-9]+)\s*(d|D|w|W|m|M|y|Y)?/g,a=o.exec(t);a;){switch(a[2]||"d"){case"d":case"D":n+=parseInt(a[1],10);break;case"w":case"W":n+=7*parseInt(a[1],10);break;case"m":case"M":s+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s));break;case"y":case"Y":i+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s))}a=o.exec(t)}return new Date(i,s,n)}(t):"number"==typeof t?isNaN(t)?e:(i=t,(s=new Date).setDate(s.getDate()+i),s):new Date(t.getTime());return(t=t&&"Invalid Date"===t.toString()?e:t)&&(t.setHours(0),t.setMinutes(0),t.setSeconds(0),t.setMilliseconds(0)),this._daylightSavingAdjust(t)},_daylightSavingAdjust:function(t){return t?(t.setHours(12<t.getHours()?t.getHours()+2:0),t):null},_setDate:function(t,e,i){var s=!e,n=t.selectedMonth,o=t.selectedYear,e=this._restrictMinMax(t,this._determineDate(t,e,new Date));t.selectedDay=t.currentDay=e.getDate(),t.drawMonth=t.selectedMonth=t.currentMonth=e.getMonth(),t.drawYear=t.selectedYear=t.currentYear=e.getFullYear(),n===t.selectedMonth&&o===t.selectedYear||i||this._notifyChange(t),this._adjustInstDate(t),t.input&&t.input.val(s?"":this._formatDate(t))},_getDate:function(t){return!t.currentYear||t.input&&""===t.input.val()?null:this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay))},_attachHandlers:function(t){var e=this._get(t,"stepMonths"),i="#"+t.id.replace(/\\\\/g,"\\");t.dpDiv.find("[data-handler]").map(function(){var t={prev:function(){V.datepicker._adjustDate(i,-e,"M")},next:function(){V.datepicker._adjustDate(i,+e,"M")},hide:function(){V.datepicker._hideDatepicker()},today:function(){V.datepicker._gotoToday(i)},selectDay:function(){return V.datepicker._selectDay(i,+this.getAttribute("data-month"),+this.getAttribute("data-year"),this),!1},selectMonth:function(){return V.datepicker._selectMonthYear(i,this,"M"),!1},selectYear:function(){return V.datepicker._selectMonthYear(i,this,"Y"),!1}};V(this).on(this.getAttribute("data-event"),t[this.getAttribute("data-handler")])})},_generateHTML:function(t){var e,i,s,n,o,a,r,l,h,c,u,d,p,f,g,m,_,v,b,y,w,x,k,C,D,I,T,P,M,S,H,z,A=new Date,O=this._daylightSavingAdjust(new Date(A.getFullYear(),A.getMonth(),A.getDate())),N=this._get(t,"isRTL"),E=this._get(t,"showButtonPanel"),W=this._get(t,"hideIfNoPrevNext"),F=this._get(t,"navigationAsDateFormat"),L=this._getNumberOfMonths(t),R=this._get(t,"showCurrentAtPos"),A=this._get(t,"stepMonths"),Y=1!==L[0]||1!==L[1],B=this._daylightSavingAdjust(t.currentDay?new Date(t.currentYear,t.currentMonth,t.currentDay):new Date(9999,9,9)),j=this._getMinMaxDate(t,"min"),q=this._getMinMaxDate(t,"max"),K=t.drawMonth-R,U=t.drawYear;if(K<0&&(K+=12,U--),q)for(e=this._daylightSavingAdjust(new Date(q.getFullYear(),q.getMonth()-L[0]*L[1]+1,q.getDate())),e=j&&e<j?j:e;this._daylightSavingAdjust(new Date(U,K,1))>e;)--K<0&&(K=11,U--);for(t.drawMonth=K,t.drawYear=U,R=this._get(t,"prevText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K-A,1)),this._getFormatConfig(t)):R,i=this._canAdjustMonth(t,-1,U,K)?V("<a>").attr({class:"ui-datepicker-prev ui-corner-all","data-handler":"prev","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-prev ui-corner-all ui-state-disabled",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML,R=this._get(t,"nextText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K+A,1)),this._getFormatConfig(t)):R,s=this._canAdjustMonth(t,1,U,K)?V("<a>").attr({class:"ui-datepicker-next ui-corner-all","data-handler":"next","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-next ui-corner-all ui-state-disabled",title:R}).append(V("<span>").attr("class","ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML,A=this._get(t,"currentText"),W=this._get(t,"gotoCurrent")&&t.currentDay?B:O,A=F?this.formatDate(A,W,this._getFormatConfig(t)):A,R="",t.inline||(R=V("<button>").attr({type:"button",class:"ui-datepicker-close ui-state-default ui-priority-primary ui-corner-all","data-handler":"hide","data-event":"click"}).text(this._get(t,"closeText"))[0].outerHTML),F="",E&&(F=V("<div class='ui-datepicker-buttonpane ui-widget-content'>").append(N?R:"").append(this._isInRange(t,W)?V("<button>").attr({type:"button",class:"ui-datepicker-current ui-state-default ui-priority-secondary ui-corner-all","data-handler":"today","data-event":"click"}).text(A):"").append(N?"":R)[0].outerHTML),n=parseInt(this._get(t,"firstDay"),10),n=isNaN(n)?0:n,o=this._get(t,"showWeek"),a=this._get(t,"dayNames"),r=this._get(t,"dayNamesMin"),l=this._get(t,"monthNames"),h=this._get(t,"monthNamesShort"),c=this._get(t,"beforeShowDay"),u=this._get(t,"showOtherMonths"),d=this._get(t,"selectOtherMonths"),p=this._getDefaultDate(t),f="",m=0;m<L[0];m++){for(_="",this.maxRows=4,v=0;v<L[1];v++){if(b=this._daylightSavingAdjust(new Date(U,K,t.selectedDay)),y=" ui-corner-all",w="",Y){if(w+="<div class='ui-datepicker-group",1<L[1])switch(v){case 0:w+=" ui-datepicker-group-first",y=" ui-corner-"+(N?"right":"left");break;case L[1]-1:w+=" ui-datepicker-group-last",y=" ui-corner-"+(N?"left":"right");break;default:w+=" ui-datepicker-group-middle",y=""}w+="'>"}for(w+="<div class='ui-datepicker-header ui-widget-header ui-helper-clearfix"+y+"'>"+(/all|left/.test(y)&&0===m?N?s:i:"")+(/all|right/.test(y)&&0===m?N?i:s:"")+this._generateMonthYearHeader(t,K,U,j,q,0<m||0<v,l,h)+"</div><table class='ui-datepicker-calendar'><thead><tr>",x=o?"<th class='ui-datepicker-week-col'>"+this._get(t,"weekHeader")+"</th>":"",g=0;g<7;g++)x+="<th scope='col'"+(5<=(g+n+6)%7?" class='ui-datepicker-week-end'":"")+"><span title='"+a[k=(g+n)%7]+"'>"+r[k]+"</span></th>";for(w+=x+"</tr></thead><tbody>",D=this._getDaysInMonth(U,K),U===t.selectedYear&&K===t.selectedMonth&&(t.selectedDay=Math.min(t.selectedDay,D)),C=(this._getFirstDayOfMonth(U,K)-n+7)%7,D=Math.ceil((C+D)/7),I=Y&&this.maxRows>D?this.maxRows:D,this.maxRows=I,T=this._daylightSavingAdjust(new Date(U,K,1-C)),P=0;P<I;P++){for(w+="<tr>",M=o?"<td class='ui-datepicker-week-col'>"+this._get(t,"calculateWeek")(T)+"</td>":"",g=0;g<7;g++)S=c?c.apply(t.input?t.input[0]:null,[T]):[!0,""],z=(H=T.getMonth()!==K)&&!d||!S[0]||j&&T<j||q&&q<T,M+="<td class='"+(5<=(g+n+6)%7?" ui-datepicker-week-end":"")+(H?" ui-datepicker-other-month":"")+(T.getTime()===b.getTime()&&K===t.selectedMonth&&t._keyEvent||p.getTime()===T.getTime()&&p.getTime()===b.getTime()?" "+this._dayOverClass:"")+(z?" "+this._unselectableClass+" ui-state-disabled":"")+(H&&!u?"":" "+S[1]+(T.getTime()===B.getTime()?" "+this._currentClass:"")+(T.getTime()===O.getTime()?" ui-datepicker-today":""))+"'"+(H&&!u||!S[2]?"":" title='"+S[2].replace(/'/g,"&#39;")+"'")+(z?"":" data-handler='selectDay' data-event='click' data-month='"+T.getMonth()+"' data-year='"+T.getFullYear()+"'")+">"+(H&&!u?"&#xa0;":z?"<span class='ui-state-default'>"+T.getDate()+"</span>":"<a class='ui-state-default"+(T.getTime()===O.getTime()?" ui-state-highlight":"")+(T.getTime()===B.getTime()?" ui-state-active":"")+(H?" ui-priority-secondary":"")+"' href='#' aria-current='"+(T.getTime()===B.getTime()?"true":"false")+"' data-date='"+T.getDate()+"'>"+T.getDate()+"</a>")+"</td>",T.setDate(T.getDate()+1),T=this._daylightSavingAdjust(T);w+=M+"</tr>"}11<++K&&(K=0,U++),_+=w+="</tbody></table>"+(Y?"</div>"+(0<L[0]&&v===L[1]-1?"<div class='ui-datepicker-row-break'></div>":""):"")}f+=_}return f+=F,t._keyEvent=!1,f},_generateMonthYearHeader:function(t,e,i,s,n,o,a,r){var l,h,c,u,d,p,f=this._get(t,"changeMonth"),g=this._get(t,"changeYear"),m=this._get(t,"showMonthAfterYear"),_=this._get(t,"selectMonthLabel"),v=this._get(t,"selectYearLabel"),b="<div class='ui-datepicker-title'>",y="";if(o||!f)y+="<span class='ui-datepicker-month'>"+a[e]+"</span>";else{for(l=s&&s.getFullYear()===i,h=n&&n.getFullYear()===i,y+="<select class='ui-datepicker-month' aria-label='"+_+"' data-handler='selectMonth' data-event='change'>",c=0;c<12;c++)(!l||c>=s.getMonth())&&(!h||c<=n.getMonth())&&(y+="<option value='"+c+"'"+(c===e?" selected='selected'":"")+">"+r[c]+"</option>");y+="</select>"}if(m||(b+=y+(!o&&f&&g?"":"&#xa0;")),!t.yearshtml)if(t.yearshtml="",o||!g)b+="<span class='ui-datepicker-year'>"+i+"</span>";else{for(a=this._get(t,"yearRange").split(":"),u=(new Date).getFullYear(),d=(_=function(t){t=t.match(/c[+\-].*/)?i+parseInt(t.substring(1),10):t.match(/[+\-].*/)?u+parseInt(t,10):parseInt(t,10);return isNaN(t)?u:t})(a[0]),p=Math.max(d,_(a[1]||"")),d=s?Math.max(d,s.getFullYear()):d,p=n?Math.min(p,n.getFullYear()):p,t.yearshtml+="<select class='ui-datepicker-year' aria-label='"+v+"' data-handler='selectYear' data-event='change'>";d<=p;d++)t.yearshtml+="<option value='"+d+"'"+(d===i?" selected='selected'":"")+">"+d+"</option>";t.yearshtml+="</select>",b+=t.yearshtml,t.yearshtml=null}return b+=this._get(t,"yearSuffix"),m&&(b+=(!o&&f&&g?"":"&#xa0;")+y),b+="</div>"},_adjustInstDate:function(t,e,i){var s=t.selectedYear+("Y"===i?e:0),n=t.selectedMonth+("M"===i?e:0),e=Math.min(t.selectedDay,this._getDaysInMonth(s,n))+("D"===i?e:0),e=this._restrictMinMax(t,this._daylightSavingAdjust(new Date(s,n,e)));t.selectedDay=e.getDate(),t.drawMonth=t.selectedMonth=e.getMonth(),t.drawYear=t.selectedYear=e.getFullYear(),"M"!==i&&"Y"!==i||this._notifyChange(t)},_restrictMinMax:function(t,e){var i=this._getMinMaxDate(t,"min"),t=this._getMinMaxDate(t,"max"),e=i&&e<i?i:e;return t&&t<e?t:e},_notifyChange:function(t){var e=this._get(t,"onChangeMonthYear");e&&e.apply(t.input?t.input[0]:null,[t.selectedYear,t.selectedMonth+1,t])},_getNumberOfMonths:function(t){t=this._get(t,"numberOfMonths");return null==t?[1,1]:"number"==typeof t?[1,t]:t},_getMinMaxDate:function(t,e){return this._determineDate(t,this._get(t,e+"Date"),null)},_getDaysInMonth:function(t,e){return 32-this._daylightSavingAdjust(new Date(t,e,32)).getDate()},_getFirstDayOfMonth:function(t,e){return new Date(t,e,1).getDay()},_canAdjustMonth:function(t,e,i,s){var n=this._getNumberOfMonths(t),n=this._daylightSavingAdjust(new Date(i,s+(e<0?e:n[0]*n[1]),1));return e<0&&n.setDate(this._getDaysInMonth(n.getFullYear(),n.getMonth())),this._isInRange(t,n)},_isInRange:function(t,e){var i=this._getMinMaxDate(t,"min"),s=this._getMinMaxDate(t,"max"),n=null,o=null,a=this._get(t,"yearRange");return a&&(t=a.split(":"),a=(new Date).getFullYear(),n=parseInt(t[0],10),o=parseInt(t[1],10),t[0].match(/[+\-].*/)&&(n+=a),t[1].match(/[+\-].*/)&&(o+=a)),(!i||e.getTime()>=i.getTime())&&(!s||e.getTime()<=s.getTime())&&(!n||e.getFullYear()>=n)&&(!o||e.getFullYear()<=o)},_getFormatConfig:function(t){var e=this._get(t,"shortYearCutoff");return{shortYearCutoff:e="string"!=typeof e?e:(new Date).getFullYear()%100+parseInt(e,10),dayNamesShort:this._get(t,"dayNamesShort"),dayNames:this._get(t,"dayNames"),monthNamesShort:this._get(t,"monthNamesShort"),monthNames:this._get(t,"monthNames")}},_formatDate:function(t,e,i,s){e||(t.currentDay=t.selectedDay,t.currentMonth=t.selectedMonth,t.currentYear=t.selectedYear);e=e?"object"==typeof e?e:this._daylightSavingAdjust(new Date(s,i,e)):this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay));return this.formatDate(this._get(t,"dateFormat"),e,this._getFormatConfig(t))}}),V.fn.datepicker=function(t){if(!this.length)return this;V.datepicker.initialized||(V(document).on("mousedown",V.datepicker._checkExternalClick),V.datepicker.initialized=!0),0===V("#"+V.datepicker._mainDivId).length&&V("body").append(V.datepicker.dpDiv);var e=Array.prototype.slice.call(arguments,1);return"string"==typeof t&&("isDisabled"===t||"getDate"===t||"widget"===t)||"option"===t&&2===arguments.length&&"string"==typeof arguments[1]?V.datepicker["_"+t+"Datepicker"].apply(V.datepicker,[this[0]].concat(e)):this.each(function(){"string"==typeof t?V.datepicker["_"+t+"Datepicker"].apply(V.datepicker,[this].concat(e)):V.datepicker._attachDatepicker(this,t)})},V.datepicker=new st,V.datepicker.initialized=!1,V.datepicker.uuid=(new Date).getTime(),V.datepicker.version="1.13.2";V.datepicker,V.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase());var rt=!1;V(document).on("mouseup",function(){rt=!1});V.widget("ui.mouse",{version:"1.13.2",options:{cancel:"input, textarea, button, select, option",distance:1,delay:0},_mouseInit:function(){var e=this;this.element.on("mousedown."+this.widgetName,function(t){return e._mouseDown(t)}).on("click."+this.widgetName,function(t){if(!0===V.data(t.target,e.widgetName+".preventClickEvent"))return V.removeData(t.target,e.widgetName+".preventClickEvent"),t.stopImmediatePropagation(),!1}),this.started=!1},_mouseDestroy:function(){this.element.off("."+this.widgetName),this._mouseMoveDelegate&&this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!rt){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var e=this,i=1===t.which,s=!("string"!=typeof this.options.cancel||!t.target.nodeName)&&V(t.target).closest(this.options.cancel).length;return i&&!s&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){e.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(t),!this._mouseStarted)?(t.preventDefault(),!0):(!0===V.data(t.target,this.widgetName+".preventClickEvent")&&V.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(t){return e._mouseMove(t)},this._mouseUpDelegate=function(t){return e._mouseUp(t)},this.document.on("mousemove."+this.widgetName,this._mouseMoveDelegate).on("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),rt=!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(V.ui.ie&&(!document.documentMode||document.documentMode<9)&&!t.button)return this._mouseUp(t);if(!t.which)if(t.originalEvent.altKey||t.originalEvent.ctrlKey||t.originalEvent.metaKey||t.originalEvent.shiftKey)this.ignoreMissingWhich=!0;else if(!this.ignoreMissingWhich)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(this._mouseDownEvent,t),this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&V.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),this._mouseDelayTimer&&(clearTimeout(this._mouseDelayTimer),delete this._mouseDelayTimer),this.ignoreMissingWhich=!1,rt=!1,t.preventDefault()},_mouseDistanceMet:function(t){return Math.max(Math.abs(this._mouseDownEvent.pageX-t.pageX),Math.abs(this._mouseDownEvent.pageY-t.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),V.ui.plugin={add:function(t,e,i){var s,n=V.ui[t].prototype;for(s in i)n.plugins[s]=n.plugins[s]||[],n.plugins[s].push([e,i[s]])},call:function(t,e,i,s){var n,o=t.plugins[e];if(o&&(s||t.element[0].parentNode&&11!==t.element[0].parentNode.nodeType))for(n=0;n<o.length;n++)t.options[o[n][0]]&&o[n][1].apply(t.element,i)}},V.ui.safeBlur=function(t){t&&"body"!==t.nodeName.toLowerCase()&&V(t).trigger("blur")};V.widget("ui.draggable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this._addClass("ui-draggable"),this._setHandleClassName(),this._mouseInit()},_setOption:function(t,e){this._super(t,e),"handle"===t&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){(this.helper||this.element).is(".ui-draggable-dragging")?this.destroyOnClear=!0:(this._removeHandleClassName(),this._mouseDestroy())},_mouseCapture:function(t){var e=this.options;return!(this.helper||e.disabled||0<V(t.target).closest(".ui-resizable-handle").length)&&(this.handle=this._getHandle(t),!!this.handle&&(this._blurActiveElement(t),this._blockFrames(!0===e.iframeFix?"iframe":e.iframeFix),!0))},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=V(this);return V("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var e=V.ui.safeActiveElement(this.document[0]);V(t.target).closest(e).length||V.ui.safeBlur(e)},_mouseStart:function(t){var e=this.options;return this.helper=this._createHelper(t),this._addClass(this.helper,"ui-draggable-dragging"),this._cacheHelperProportions(),V.ui.ddmanager&&(V.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=0<this.helper.parents().filter(function(){return"fixed"===V(this).css("position")}).length,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,e.cursorAt&&this._adjustOffsetFromHelper(e.cursorAt),this._setContainment(),!1===this._trigger("start",t)?(this._clear(),!1):(this._cacheHelperProportions(),V.ui.ddmanager&&!e.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this._mouseDrag(t,!0),V.ui.ddmanager&&V.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(t){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:t.pageX-this.offset.left,top:t.pageY-this.offset.top}},_mouseDrag:function(t,e){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!e){e=this._uiHash();if(!1===this._trigger("drag",t,e))return this._mouseUp(new V.Event("mouseup",t)),!1;this.position=e.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",V.ui.ddmanager&&V.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var e=this,i=!1;return V.ui.ddmanager&&!this.options.dropBehaviour&&(i=V.ui.ddmanager.drop(this,t)),this.dropped&&(i=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!i||"valid"===this.options.revert&&i||!0===this.options.revert||"function"==typeof this.options.revert&&this.options.revert.call(this.element,i)?V(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){!1!==e._trigger("stop",t)&&e._clear()}):!1!==this._trigger("stop",t)&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),V.ui.ddmanager&&V.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.trigger("focus"),V.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp(new V.Event("mouseup",{target:this.element[0]})):this._clear(),this},_getHandle:function(t){return!this.options.handle||!!V(t.target).closest(this.element.find(this.options.handle)).length},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this._addClass(this.handleElement,"ui-draggable-handle")},_removeHandleClassName:function(){this._removeClass(this.handleElement,"ui-draggable-handle")},_createHelper:function(t){var e=this.options,i="function"==typeof e.helper,t=i?V(e.helper.apply(this.element[0],[t])):"clone"===e.helper?this.element.clone().removeAttr("id"):this.element;return t.parents("body").length||t.appendTo("parent"===e.appendTo?this.element[0].parentNode:e.appendTo),i&&t[0]===this.element[0]&&this._setPositionRelative(),t[0]===this.element[0]||/(fixed|absolute)/.test(t.css("position"))||t.css("position","absolute"),t},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),"left"in(t=Array.isArray(t)?{left:+t[0],top:+t[1]||0}:t)&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(t){return/(html|body)/i.test(t.tagName)||t===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),e=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==e&&V.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),{top:(t=this._isRootNode(this.offsetParent[0])?{top:0,left:0}:t).top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var t=this.element.position(),e=this._isRootNode(this.scrollParent[0]);return{top:t.top-(parseInt(this.helper.css("top"),10)||0)+(e?0:this.scrollParent.scrollTop()),left:t.left-(parseInt(this.helper.css("left"),10)||0)+(e?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,e,i,s=this.options,n=this.document[0];this.relativeContainer=null,s.containment?"window"!==s.containment?"document"!==s.containment?s.containment.constructor!==Array?("parent"===s.containment&&(s.containment=this.helper[0].parentNode),(i=(e=V(s.containment))[0])&&(t=/(scroll|auto)/.test(e.css("overflow")),this.containment=[(parseInt(e.css("borderLeftWidth"),10)||0)+(parseInt(e.css("paddingLeft"),10)||0),(parseInt(e.css("borderTopWidth"),10)||0)+(parseInt(e.css("paddingTop"),10)||0),(t?Math.max(i.scrollWidth,i.offsetWidth):i.offsetWidth)-(parseInt(e.css("borderRightWidth"),10)||0)-(parseInt(e.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(i.scrollHeight,i.offsetHeight):i.offsetHeight)-(parseInt(e.css("borderBottomWidth"),10)||0)-(parseInt(e.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=e)):this.containment=s.containment:this.containment=[0,0,V(n).width()-this.helperProportions.width-this.margins.left,(V(n).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=[V(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,V(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,V(window).scrollLeft()+V(window).width()-this.helperProportions.width-this.margins.left,V(window).scrollTop()+(V(window).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=null},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,t=this._isRootNode(this.scrollParent[0]);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:t?0:this.offset.scroll.top)*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:t?0:this.offset.scroll.left)*i}},_generatePosition:function(t,e){var i,s=this.options,n=this._isRootNode(this.scrollParent[0]),o=t.pageX,a=t.pageY;return n&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),e&&(this.containment&&(i=this.relativeContainer?(i=this.relativeContainer.offset(),[this.containment[0]+i.left,this.containment[1]+i.top,this.containment[2]+i.left,this.containment[3]+i.top]):this.containment,t.pageX-this.offset.click.left<i[0]&&(o=i[0]+this.offset.click.left),t.pageY-this.offset.click.top<i[1]&&(a=i[1]+this.offset.click.top),t.pageX-this.offset.click.left>i[2]&&(o=i[2]+this.offset.click.left),t.pageY-this.offset.click.top>i[3]&&(a=i[3]+this.offset.click.top)),s.grid&&(t=s.grid[1]?this.originalPageY+Math.round((a-this.originalPageY)/s.grid[1])*s.grid[1]:this.originalPageY,a=!i||t-this.offset.click.top>=i[1]||t-this.offset.click.top>i[3]?t:t-this.offset.click.top>=i[1]?t-s.grid[1]:t+s.grid[1],t=s.grid[0]?this.originalPageX+Math.round((o-this.originalPageX)/s.grid[0])*s.grid[0]:this.originalPageX,o=!i||t-this.offset.click.left>=i[0]||t-this.offset.click.left>i[2]?t:t-this.offset.click.left>=i[0]?t-s.grid[0]:t+s.grid[0]),"y"===s.axis&&(o=this.originalPageX),"x"===s.axis&&(a=this.originalPageY)),{top:a-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:n?0:this.offset.scroll.top),left:o-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:n?0:this.offset.scroll.left)}},_clear:function(){this._removeClass(this.helper,"ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_trigger:function(t,e,i){return i=i||this._uiHash(),V.ui.plugin.call(this,t,[e,i,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),i.offset=this.positionAbs),V.Widget.prototype._trigger.call(this,t,e,i)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),V.ui.plugin.add("draggable","connectToSortable",{start:function(e,t,i){var s=V.extend({},t,{item:i.element});i.sortables=[],V(i.options.connectToSortable).each(function(){var t=V(this).sortable("instance");t&&!t.options.disabled&&(i.sortables.push(t),t.refreshPositions(),t._trigger("activate",e,s))})},stop:function(e,t,i){var s=V.extend({},t,{item:i.element});i.cancelHelperRemoval=!1,V.each(i.sortables,function(){var t=this;t.isOver?(t.isOver=0,i.cancelHelperRemoval=!0,t.cancelHelperRemoval=!1,t._storedCSS={position:t.placeholder.css("position"),top:t.placeholder.css("top"),left:t.placeholder.css("left")},t._mouseStop(e),t.options.helper=t.options._helper):(t.cancelHelperRemoval=!0,t._trigger("deactivate",e,s))})},drag:function(i,s,n){V.each(n.sortables,function(){var t=!1,e=this;e.positionAbs=n.positionAbs,e.helperProportions=n.helperProportions,e.offset.click=n.offset.click,e._intersectsWith(e.containerCache)&&(t=!0,V.each(n.sortables,function(){return this.positionAbs=n.positionAbs,this.helperProportions=n.helperProportions,this.offset.click=n.offset.click,t=this!==e&&this._intersectsWith(this.containerCache)&&V.contains(e.element[0],this.element[0])?!1:t})),t?(e.isOver||(e.isOver=1,n._parent=s.helper.parent(),e.currentItem=s.helper.appendTo(e.element).data("ui-sortable-item",!0),e.options._helper=e.options.helper,e.options.helper=function(){return s.helper[0]},i.target=e.currentItem[0],e._mouseCapture(i,!0),e._mouseStart(i,!0,!0),e.offset.click.top=n.offset.click.top,e.offset.click.left=n.offset.click.left,e.offset.parent.left-=n.offset.parent.left-e.offset.parent.left,e.offset.parent.top-=n.offset.parent.top-e.offset.parent.top,n._trigger("toSortable",i),n.dropped=e.element,V.each(n.sortables,function(){this.refreshPositions()}),n.currentItem=n.element,e.fromOutside=n),e.currentItem&&(e._mouseDrag(i),s.position=e.position)):e.isOver&&(e.isOver=0,e.cancelHelperRemoval=!0,e.options._revert=e.options.revert,e.options.revert=!1,e._trigger("out",i,e._uiHash(e)),e._mouseStop(i,!0),e.options.revert=e.options._revert,e.options.helper=e.options._helper,e.placeholder&&e.placeholder.remove(),s.helper.appendTo(n._parent),n._refreshOffsets(i),s.position=n._generatePosition(i,!0),n._trigger("fromSortable",i),n.dropped=!1,V.each(n.sortables,function(){this.refreshPositions()}))})}}),V.ui.plugin.add("draggable","cursor",{start:function(t,e,i){var s=V("body"),i=i.options;s.css("cursor")&&(i._cursor=s.css("cursor")),s.css("cursor",i.cursor)},stop:function(t,e,i){i=i.options;i._cursor&&V("body").css("cursor",i._cursor)}}),V.ui.plugin.add("draggable","opacity",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("opacity")&&(i._opacity=e.css("opacity")),e.css("opacity",i.opacity)},stop:function(t,e,i){i=i.options;i._opacity&&V(e.helper).css("opacity",i._opacity)}}),V.ui.plugin.add("draggable","scroll",{start:function(t,e,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,e,i){var s=i.options,n=!1,o=i.scrollParentNotHidden[0],a=i.document[0];o!==a&&"HTML"!==o.tagName?(s.axis&&"x"===s.axis||(i.overflowOffset.top+o.offsetHeight-t.pageY<s.scrollSensitivity?o.scrollTop=n=o.scrollTop+s.scrollSpeed:t.pageY-i.overflowOffset.top<s.scrollSensitivity&&(o.scrollTop=n=o.scrollTop-s.scrollSpeed)),s.axis&&"y"===s.axis||(i.overflowOffset.left+o.offsetWidth-t.pageX<s.scrollSensitivity?o.scrollLeft=n=o.scrollLeft+s.scrollSpeed:t.pageX-i.overflowOffset.left<s.scrollSensitivity&&(o.scrollLeft=n=o.scrollLeft-s.scrollSpeed))):(s.axis&&"x"===s.axis||(t.pageY-V(a).scrollTop()<s.scrollSensitivity?n=V(a).scrollTop(V(a).scrollTop()-s.scrollSpeed):V(window).height()-(t.pageY-V(a).scrollTop())<s.scrollSensitivity&&(n=V(a).scrollTop(V(a).scrollTop()+s.scrollSpeed))),s.axis&&"y"===s.axis||(t.pageX-V(a).scrollLeft()<s.scrollSensitivity?n=V(a).scrollLeft(V(a).scrollLeft()-s.scrollSpeed):V(window).width()-(t.pageX-V(a).scrollLeft())<s.scrollSensitivity&&(n=V(a).scrollLeft(V(a).scrollLeft()+s.scrollSpeed)))),!1!==n&&V.ui.ddmanager&&!s.dropBehaviour&&V.ui.ddmanager.prepareOffsets(i,t)}}),V.ui.plugin.add("draggable","snap",{start:function(t,e,i){var s=i.options;i.snapElements=[],V(s.snap.constructor!==String?s.snap.items||":data(ui-draggable)":s.snap).each(function(){var t=V(this),e=t.offset();this!==i.element[0]&&i.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:e.top,left:e.left})})},drag:function(t,e,i){for(var s,n,o,a,r,l,h,c,u,d=i.options,p=d.snapTolerance,f=e.offset.left,g=f+i.helperProportions.width,m=e.offset.top,_=m+i.helperProportions.height,v=i.snapElements.length-1;0<=v;v--)l=(r=i.snapElements[v].left-i.margins.left)+i.snapElements[v].width,c=(h=i.snapElements[v].top-i.margins.top)+i.snapElements[v].height,g<r-p||l+p<f||_<h-p||c+p<m||!V.contains(i.snapElements[v].item.ownerDocument,i.snapElements[v].item)?(i.snapElements[v].snapping&&i.options.snap.release&&i.options.snap.release.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=!1):("inner"!==d.snapMode&&(s=Math.abs(h-_)<=p,n=Math.abs(c-m)<=p,o=Math.abs(r-g)<=p,a=Math.abs(l-f)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h-i.helperProportions.height,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r-i.helperProportions.width}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l}).left)),u=s||n||o||a,"outer"!==d.snapMode&&(s=Math.abs(h-m)<=p,n=Math.abs(c-_)<=p,o=Math.abs(r-f)<=p,a=Math.abs(l-g)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c-i.helperProportions.height,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l-i.helperProportions.width}).left)),!i.snapElements[v].snapping&&(s||n||o||a||u)&&i.options.snap.snap&&i.options.snap.snap.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=s||n||o||a||u)}}),V.ui.plugin.add("draggable","stack",{start:function(t,e,i){var s,i=i.options,i=V.makeArray(V(i.stack)).sort(function(t,e){return(parseInt(V(t).css("zIndex"),10)||0)-(parseInt(V(e).css("zIndex"),10)||0)});i.length&&(s=parseInt(V(i[0]).css("zIndex"),10)||0,V(i).each(function(t){V(this).css("zIndex",s+t)}),this.css("zIndex",s+i.length))}}),V.ui.plugin.add("draggable","zIndex",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("zIndex")&&(i._zIndex=e.css("zIndex")),e.css("zIndex",i.zIndex)},stop:function(t,e,i){i=i.options;i._zIndex&&V(e.helper).css("zIndex",i._zIndex)}});V.ui.draggable;V.widget("ui.resizable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,classes:{"ui-resizable-se":"ui-icon ui-icon-gripsmall-diagonal-se"},containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(t){return parseFloat(t)||0},_isNumber:function(t){return!isNaN(parseFloat(t))},_hasScroll:function(t,e){if("hidden"===V(t).css("overflow"))return!1;var i=e&&"left"===e?"scrollLeft":"scrollTop",e=!1;if(0<t[i])return!0;try{t[i]=1,e=0<t[i],t[i]=0}catch(t){}return e},_create:function(){var t,e=this.options,i=this;this._addClass("ui-resizable"),V.extend(this,{_aspectRatio:!!e.aspectRatio,aspectRatio:e.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:e.helper||e.ghost||e.animate?e.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(V("<div class='ui-wrapper'></div>").css({overflow:"hidden",position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,t={marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom"),marginLeft:this.originalElement.css("marginLeft")},this.element.css(t),this.originalElement.css("margin",0),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css(t),this._proportionallyResize()),this._setupHandles(),e.autoHide&&V(this.element).on("mouseenter",function(){e.disabled||(i._removeClass("ui-resizable-autohide"),i._handles.show())}).on("mouseleave",function(){e.disabled||i.resizing||(i._addClass("ui-resizable-autohide"),i._handles.hide())}),this._mouseInit()},_destroy:function(){this._mouseDestroy(),this._addedHandles.remove();function t(t){V(t).removeData("resizable").removeData("ui-resizable").off(".resizable")}var e;return this.elementIsWrapper&&(t(this.element),e=this.element,this.originalElement.css({position:e.css("position"),width:e.outerWidth(),height:e.outerHeight(),top:e.css("top"),left:e.css("left")}).insertAfter(e),e.remove()),this.originalElement.css("resize",this.originalResizeStyle),t(this.originalElement),this},_setOption:function(t,e){switch(this._super(t,e),t){case"handles":this._removeHandles(),this._setupHandles();break;case"aspectRatio":this._aspectRatio=!!e}},_setupHandles:function(){var t,e,i,s,n,o=this.options,a=this;if(this.handles=o.handles||(V(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=V(),this._addedHandles=V(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),i=this.handles.split(","),this.handles={},e=0;e<i.length;e++)s="ui-resizable-"+(t=String.prototype.trim.call(i[e])),n=V("<div>"),this._addClass(n,"ui-resizable-handle "+s),n.css({zIndex:o.zIndex}),this.handles[t]=".ui-resizable-"+t,this.element.children(this.handles[t]).length||(this.element.append(n),this._addedHandles=this._addedHandles.add(n));this._renderAxis=function(t){var e,i,s;for(e in t=t||this.element,this.handles)this.handles[e].constructor===String?this.handles[e]=this.element.children(this.handles[e]).first().show():(this.handles[e].jquery||this.handles[e].nodeType)&&(this.handles[e]=V(this.handles[e]),this._on(this.handles[e],{mousedown:a._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(i=V(this.handles[e],this.element),s=/sw|ne|nw|se|n|s/.test(e)?i.outerHeight():i.outerWidth(),i=["padding",/ne|nw|n/.test(e)?"Top":/se|sw|s/.test(e)?"Bottom":/^e$/.test(e)?"Right":"Left"].join(""),t.css(i,s),this._proportionallyResize()),this._handles=this._handles.add(this.handles[e])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.on("mouseover",function(){a.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),a.axis=n&&n[1]?n[1]:"se")}),o.autoHide&&(this._handles.hide(),this._addClass("ui-resizable-autohide"))},_removeHandles:function(){this._addedHandles.remove()},_mouseCapture:function(t){var e,i,s=!1;for(e in this.handles)(i=V(this.handles[e])[0])!==t.target&&!V.contains(i,t.target)||(s=!0);return!this.options.disabled&&s},_mouseStart:function(t){var e,i,s=this.options,n=this.element;return this.resizing=!0,this._renderProxy(),e=this._num(this.helper.css("left")),i=this._num(this.helper.css("top")),s.containment&&(e+=V(s.containment).scrollLeft()||0,i+=V(s.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:e,top:i},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:n.width(),height:n.height()},this.originalSize=this._helper?{width:n.outerWidth(),height:n.outerHeight()}:{width:n.width(),height:n.height()},this.sizeDiff={width:n.outerWidth()-n.width(),height:n.outerHeight()-n.height()},this.originalPosition={left:e,top:i},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof s.aspectRatio?s.aspectRatio:this.originalSize.width/this.originalSize.height||1,s=V(".ui-resizable-"+this.axis).css("cursor"),V("body").css("cursor","auto"===s?this.axis+"-resize":s),this._addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var e=this.originalMousePosition,i=this.axis,s=t.pageX-e.left||0,e=t.pageY-e.top||0,i=this._change[i];return this._updatePrevProperties(),i&&(e=i.apply(this,[t,s,e]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(e=this._updateRatio(e,t)),e=this._respectSize(e,t),this._updateCache(e),this._propagate("resize",t),e=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),V.isEmptyObject(e)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges())),!1},_mouseStop:function(t){this.resizing=!1;var e,i,s,n=this.options,o=this;return this._helper&&(s=(e=(i=this._proportionallyResizeElements).length&&/textarea/i.test(i[0].nodeName))&&this._hasScroll(i[0],"left")?0:o.sizeDiff.height,i=e?0:o.sizeDiff.width,e={width:o.helper.width()-i,height:o.helper.height()-s},i=parseFloat(o.element.css("left"))+(o.position.left-o.originalPosition.left)||null,s=parseFloat(o.element.css("top"))+(o.position.top-o.originalPosition.top)||null,n.animate||this.element.css(V.extend(e,{top:s,left:i})),o.helper.height(o.size.height),o.helper.width(o.size.width),this._helper&&!n.animate&&this._proportionallyResize()),V("body").css("cursor","auto"),this._removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var t={};return this.position.top!==this.prevPosition.top&&(t.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(t.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(t.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(t.height=this.size.height+"px"),this.helper.css(t),t},_updateVirtualBoundaries:function(t){var e,i,s=this.options,n={minWidth:this._isNumber(s.minWidth)?s.minWidth:0,maxWidth:this._isNumber(s.maxWidth)?s.maxWidth:1/0,minHeight:this._isNumber(s.minHeight)?s.minHeight:0,maxHeight:this._isNumber(s.maxHeight)?s.maxHeight:1/0};(this._aspectRatio||t)&&(e=n.minHeight*this.aspectRatio,i=n.minWidth/this.aspectRatio,s=n.maxHeight*this.aspectRatio,t=n.maxWidth/this.aspectRatio,e>n.minWidth&&(n.minWidth=e),i>n.minHeight&&(n.minHeight=i),s<n.maxWidth&&(n.maxWidth=s),t<n.maxHeight&&(n.maxHeight=t)),this._vBoundaries=n},_updateCache:function(t){this.offset=this.helper.offset(),this._isNumber(t.left)&&(this.position.left=t.left),this._isNumber(t.top)&&(this.position.top=t.top),this._isNumber(t.height)&&(this.size.height=t.height),this._isNumber(t.width)&&(this.size.width=t.width)},_updateRatio:function(t){var e=this.position,i=this.size,s=this.axis;return this._isNumber(t.height)?t.width=t.height*this.aspectRatio:this._isNumber(t.width)&&(t.height=t.width/this.aspectRatio),"sw"===s&&(t.left=e.left+(i.width-t.width),t.top=null),"nw"===s&&(t.top=e.top+(i.height-t.height),t.left=e.left+(i.width-t.width)),t},_respectSize:function(t){var e=this._vBoundaries,i=this.axis,s=this._isNumber(t.width)&&e.maxWidth&&e.maxWidth<t.width,n=this._isNumber(t.height)&&e.maxHeight&&e.maxHeight<t.height,o=this._isNumber(t.width)&&e.minWidth&&e.minWidth>t.width,a=this._isNumber(t.height)&&e.minHeight&&e.minHeight>t.height,r=this.originalPosition.left+this.originalSize.width,l=this.originalPosition.top+this.originalSize.height,h=/sw|nw|w/.test(i),i=/nw|ne|n/.test(i);return o&&(t.width=e.minWidth),a&&(t.height=e.minHeight),s&&(t.width=e.maxWidth),n&&(t.height=e.maxHeight),o&&h&&(t.left=r-e.minWidth),s&&h&&(t.left=r-e.maxWidth),a&&i&&(t.top=l-e.minHeight),n&&i&&(t.top=l-e.maxHeight),t.width||t.height||t.left||!t.top?t.width||t.height||t.top||!t.left||(t.left=null):t.top=null,t},_getPaddingPlusBorderDimensions:function(t){for(var e=0,i=[],s=[t.css("borderTopWidth"),t.css("borderRightWidth"),t.css("borderBottomWidth"),t.css("borderLeftWidth")],n=[t.css("paddingTop"),t.css("paddingRight"),t.css("paddingBottom"),t.css("paddingLeft")];e<4;e++)i[e]=parseFloat(s[e])||0,i[e]+=parseFloat(n[e])||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var t,e=0,i=this.helper||this.element;e<this._proportionallyResizeElements.length;e++)t=this._proportionallyResizeElements[e],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(t)),t.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,e=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||V("<div></div>").css({overflow:"hidden"}),this._addClass(this.helper,this._helper),this.helper.css({width:this.element.outerWidth(),height:this.element.outerHeight(),position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++e.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(t,e){return{width:this.originalSize.width+e}},w:function(t,e){var i=this.originalSize;return{left:this.originalPosition.left+e,width:i.width-e}},n:function(t,e,i){var s=this.originalSize;return{top:this.originalPosition.top+i,height:s.height-i}},s:function(t,e,i){return{height:this.originalSize.height+i}},se:function(t,e,i){return V.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},sw:function(t,e,i){return V.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,e,i]))},ne:function(t,e,i){return V.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},nw:function(t,e,i){return V.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,e,i]))}},_propagate:function(t,e){V.ui.plugin.call(this,t,[e,this.ui()]),"resize"!==t&&this._trigger(t,e,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),V.ui.plugin.add("resizable","animate",{stop:function(e){var i=V(this).resizable("instance"),t=i.options,s=i._proportionallyResizeElements,n=s.length&&/textarea/i.test(s[0].nodeName),o=n&&i._hasScroll(s[0],"left")?0:i.sizeDiff.height,a=n?0:i.sizeDiff.width,n={width:i.size.width-a,height:i.size.height-o},a=parseFloat(i.element.css("left"))+(i.position.left-i.originalPosition.left)||null,o=parseFloat(i.element.css("top"))+(i.position.top-i.originalPosition.top)||null;i.element.animate(V.extend(n,o&&a?{top:o,left:a}:{}),{duration:t.animateDuration,easing:t.animateEasing,step:function(){var t={width:parseFloat(i.element.css("width")),height:parseFloat(i.element.css("height")),top:parseFloat(i.element.css("top")),left:parseFloat(i.element.css("left"))};s&&s.length&&V(s[0]).css({width:t.width,height:t.height}),i._updateCache(t),i._propagate("resize",e)}})}}),V.ui.plugin.add("resizable","containment",{start:function(){var i,s,n=V(this).resizable("instance"),t=n.options,e=n.element,o=t.containment,a=o instanceof V?o.get(0):/parent/.test(o)?e.parent().get(0):o;a&&(n.containerElement=V(a),/document/.test(o)||o===document?(n.containerOffset={left:0,top:0},n.containerPosition={left:0,top:0},n.parentData={element:V(document),left:0,top:0,width:V(document).width(),height:V(document).height()||document.body.parentNode.scrollHeight}):(i=V(a),s=[],V(["Top","Right","Left","Bottom"]).each(function(t,e){s[t]=n._num(i.css("padding"+e))}),n.containerOffset=i.offset(),n.containerPosition=i.position(),n.containerSize={height:i.innerHeight()-s[3],width:i.innerWidth()-s[1]},t=n.containerOffset,e=n.containerSize.height,o=n.containerSize.width,o=n._hasScroll(a,"left")?a.scrollWidth:o,e=n._hasScroll(a)?a.scrollHeight:e,n.parentData={element:a,left:t.left,top:t.top,width:o,height:e}))},resize:function(t){var e=V(this).resizable("instance"),i=e.options,s=e.containerOffset,n=e.position,o=e._aspectRatio||t.shiftKey,a={top:0,left:0},r=e.containerElement,t=!0;r[0]!==document&&/static/.test(r.css("position"))&&(a=s),n.left<(e._helper?s.left:0)&&(e.size.width=e.size.width+(e._helper?e.position.left-s.left:e.position.left-a.left),o&&(e.size.height=e.size.width/e.aspectRatio,t=!1),e.position.left=i.helper?s.left:0),n.top<(e._helper?s.top:0)&&(e.size.height=e.size.height+(e._helper?e.position.top-s.top:e.position.top),o&&(e.size.width=e.size.height*e.aspectRatio,t=!1),e.position.top=e._helper?s.top:0),i=e.containerElement.get(0)===e.element.parent().get(0),n=/relative|absolute/.test(e.containerElement.css("position")),i&&n?(e.offset.left=e.parentData.left+e.position.left,e.offset.top=e.parentData.top+e.position.top):(e.offset.left=e.element.offset().left,e.offset.top=e.element.offset().top),n=Math.abs(e.sizeDiff.width+(e._helper?e.offset.left-a.left:e.offset.left-s.left)),s=Math.abs(e.sizeDiff.height+(e._helper?e.offset.top-a.top:e.offset.top-s.top)),n+e.size.width>=e.parentData.width&&(e.size.width=e.parentData.width-n,o&&(e.size.height=e.size.width/e.aspectRatio,t=!1)),s+e.size.height>=e.parentData.height&&(e.size.height=e.parentData.height-s,o&&(e.size.width=e.size.height*e.aspectRatio,t=!1)),t||(e.position.left=e.prevPosition.left,e.position.top=e.prevPosition.top,e.size.width=e.prevSize.width,e.size.height=e.prevSize.height)},stop:function(){var t=V(this).resizable("instance"),e=t.options,i=t.containerOffset,s=t.containerPosition,n=t.containerElement,o=V(t.helper),a=o.offset(),r=o.outerWidth()-t.sizeDiff.width,o=o.outerHeight()-t.sizeDiff.height;t._helper&&!e.animate&&/relative/.test(n.css("position"))&&V(this).css({left:a.left-s.left-i.left,width:r,height:o}),t._helper&&!e.animate&&/static/.test(n.css("position"))&&V(this).css({left:a.left-s.left-i.left,width:r,height:o})}}),V.ui.plugin.add("resizable","alsoResize",{start:function(){var t=V(this).resizable("instance").options;V(t.alsoResize).each(function(){var t=V(this);t.data("ui-resizable-alsoresize",{width:parseFloat(t.width()),height:parseFloat(t.height()),left:parseFloat(t.css("left")),top:parseFloat(t.css("top"))})})},resize:function(t,i){var e=V(this).resizable("instance"),s=e.options,n=e.originalSize,o=e.originalPosition,a={height:e.size.height-n.height||0,width:e.size.width-n.width||0,top:e.position.top-o.top||0,left:e.position.left-o.left||0};V(s.alsoResize).each(function(){var t=V(this),s=V(this).data("ui-resizable-alsoresize"),n={},e=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];V.each(e,function(t,e){var i=(s[e]||0)+(a[e]||0);i&&0<=i&&(n[e]=i||null)}),t.css(n)})},stop:function(){V(this).removeData("ui-resizable-alsoresize")}}),V.ui.plugin.add("resizable","ghost",{start:function(){var t=V(this).resizable("instance"),e=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:e.height,width:e.width,margin:0,left:0,top:0}),t._addClass(t.ghost,"ui-resizable-ghost"),!1!==V.uiBackCompat&&"string"==typeof t.options.ghost&&t.ghost.addClass(this.options.ghost),t.ghost.appendTo(t.helper)},resize:function(){var t=V(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=V(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),V.ui.plugin.add("resizable","grid",{resize:function(){var t,e=V(this).resizable("instance"),i=e.options,s=e.size,n=e.originalSize,o=e.originalPosition,a=e.axis,r="number"==typeof i.grid?[i.grid,i.grid]:i.grid,l=r[0]||1,h=r[1]||1,c=Math.round((s.width-n.width)/l)*l,u=Math.round((s.height-n.height)/h)*h,d=n.width+c,p=n.height+u,f=i.maxWidth&&i.maxWidth<d,g=i.maxHeight&&i.maxHeight<p,m=i.minWidth&&i.minWidth>d,s=i.minHeight&&i.minHeight>p;i.grid=r,m&&(d+=l),s&&(p+=h),f&&(d-=l),g&&(p-=h),/^(se|s|e)$/.test(a)?(e.size.width=d,e.size.height=p):/^(ne)$/.test(a)?(e.size.width=d,e.size.height=p,e.position.top=o.top-u):/^(sw)$/.test(a)?(e.size.width=d,e.size.height=p,e.position.left=o.left-c):((p-h<=0||d-l<=0)&&(t=e._getPaddingPlusBorderDimensions(this)),0<p-h?(e.size.height=p,e.position.top=o.top-u):(p=h-t.height,e.size.height=p,e.position.top=o.top+n.height-p),0<d-l?(e.size.width=d,e.position.left=o.left-c):(d=l-t.width,e.size.width=d,e.position.left=o.left+n.width-d))}});V.ui.resizable;V.widget("ui.dialog",{version:"1.13.2",options:{appendTo:"body",autoOpen:!0,buttons:[],classes:{"ui-dialog":"ui-corner-all","ui-dialog-titlebar":"ui-corner-all"},closeOnEscape:!0,closeText:"Close",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var e=V(this).css(t).offset().top;e<0&&V(this).css("top",t.top-e)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),null==this.options.title&&null!=this.originalTitle&&(this.options.title=this.originalTitle),this.options.disabled&&(this.options.disabled=!1),this._createWrapper(),this.element.show().removeAttr("title").appendTo(this.uiDialog),this._addClass("ui-dialog-content","ui-widget-content"),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&V.fn.draggable&&this._makeDraggable(),this.options.resizable&&V.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?V(t):this.document.find(t||"body").eq(0)},_destroy:function(){var t,e=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().css(this.originalCss).detach(),this.uiDialog.remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),(t=e.parent.children().eq(e.index)).length&&t[0]!==this.element[0]?t.before(this.element):e.parent.append(this.element)},widget:function(){return this.uiDialog},disable:V.noop,enable:V.noop,close:function(t){var e=this;this._isOpen&&!1!==this._trigger("beforeClose",t)&&(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),this.opener.filter(":focusable").trigger("focus").length||V.ui.safeBlur(V.ui.safeActiveElement(this.document[0])),this._hide(this.uiDialog,this.options.hide,function(){e._trigger("close",t)}))},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,e){var i=!1,s=this.uiDialog.siblings(".ui-front:visible").map(function(){return+V(this).css("z-index")}).get(),s=Math.max.apply(null,s);return s>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",s+1),i=!0),i&&!e&&this._trigger("focus",t),i},open:function(){var t=this;this._isOpen?this._moveToTop()&&this._focusTabbable():(this._isOpen=!0,this.opener=V(V.ui.safeActiveElement(this.document[0])),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"))},_focusTabbable:function(){var t=this._focusedElement;(t=!(t=!(t=!(t=!(t=t||this.element.find("[autofocus]")).length?this.element.find(":tabbable"):t).length?this.uiDialogButtonPane.find(":tabbable"):t).length?this.uiDialogTitlebarClose.filter(":tabbable"):t).length?this.uiDialog:t).eq(0).trigger("focus")},_restoreTabbableFocus:function(){var t=V.ui.safeActiveElement(this.document[0]);this.uiDialog[0]===t||V.contains(this.uiDialog[0],t)||this._focusTabbable()},_keepFocus:function(t){t.preventDefault(),this._restoreTabbableFocus(),this._delay(this._restoreTabbableFocus)},_createWrapper:function(){this.uiDialog=V("<div>").hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._addClass(this.uiDialog,"ui-dialog","ui-widget ui-widget-content ui-front"),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===V.ui.keyCode.ESCAPE)return t.preventDefault(),void this.close(t);var e,i,s;t.keyCode!==V.ui.keyCode.TAB||t.isDefaultPrevented()||(e=this.uiDialog.find(":tabbable"),i=e.first(),s=e.last(),t.target!==s[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==i[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){s.trigger("focus")}),t.preventDefault()):(this._delay(function(){i.trigger("focus")}),t.preventDefault()))},mousedown:function(t){this._moveToTop(t)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=V("<div>"),this._addClass(this.uiDialogTitlebar,"ui-dialog-titlebar","ui-widget-header ui-helper-clearfix"),this._on(this.uiDialogTitlebar,{mousedown:function(t){V(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.trigger("focus")}}),this.uiDialogTitlebarClose=V("<button type='button'></button>").button({label:V("<a>").text(this.options.closeText).html(),icon:"ui-icon-closethick",showLabel:!1}).appendTo(this.uiDialogTitlebar),this._addClass(this.uiDialogTitlebarClose,"ui-dialog-titlebar-close"),this._on(this.uiDialogTitlebarClose,{click:function(t){t.preventDefault(),this.close(t)}}),t=V("<span>").uniqueId().prependTo(this.uiDialogTitlebar),this._addClass(t,"ui-dialog-title"),this._title(t),this.uiDialogTitlebar.prependTo(this.uiDialog),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(t){this.options.title?t.text(this.options.title):t.html("&#160;")},_createButtonPane:function(){this.uiDialogButtonPane=V("<div>"),this._addClass(this.uiDialogButtonPane,"ui-dialog-buttonpane","ui-widget-content ui-helper-clearfix"),this.uiButtonSet=V("<div>").appendTo(this.uiDialogButtonPane),this._addClass(this.uiButtonSet,"ui-dialog-buttonset"),this._createButtons()},_createButtons:function(){var s=this,t=this.options.buttons;this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),V.isEmptyObject(t)||Array.isArray(t)&&!t.length?this._removeClass(this.uiDialog,"ui-dialog-buttons"):(V.each(t,function(t,e){var i;e=V.extend({type:"button"},e="function"==typeof e?{click:e,text:t}:e),i=e.click,t={icon:e.icon,iconPosition:e.iconPosition,showLabel:e.showLabel,icons:e.icons,text:e.text},delete e.click,delete e.icon,delete e.iconPosition,delete e.showLabel,delete e.icons,"boolean"==typeof e.text&&delete e.text,V("<button></button>",e).button(t).appendTo(s.uiButtonSet).on("click",function(){i.apply(s.element[0],arguments)})}),this._addClass(this.uiDialog,"ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog))},_makeDraggable:function(){var n=this,o=this.options;function a(t){return{position:t.position,offset:t.offset}}this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(t,e){n._addClass(V(this),"ui-dialog-dragging"),n._blockFrames(),n._trigger("dragStart",t,a(e))},drag:function(t,e){n._trigger("drag",t,a(e))},stop:function(t,e){var i=e.offset.left-n.document.scrollLeft(),s=e.offset.top-n.document.scrollTop();o.position={my:"left top",at:"left"+(0<=i?"+":"")+i+" top"+(0<=s?"+":"")+s,of:n.window},n._removeClass(V(this),"ui-dialog-dragging"),n._unblockFrames(),n._trigger("dragStop",t,a(e))}})},_makeResizable:function(){var n=this,o=this.options,t=o.resizable,e=this.uiDialog.css("position"),t="string"==typeof t?t:"n,e,s,w,se,sw,ne,nw";function a(t){return{originalPosition:t.originalPosition,originalSize:t.originalSize,position:t.position,size:t.size}}this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:o.maxWidth,maxHeight:o.maxHeight,minWidth:o.minWidth,minHeight:this._minHeight(),handles:t,start:function(t,e){n._addClass(V(this),"ui-dialog-resizing"),n._blockFrames(),n._trigger("resizeStart",t,a(e))},resize:function(t,e){n._trigger("resize",t,a(e))},stop:function(t,e){var i=n.uiDialog.offset(),s=i.left-n.document.scrollLeft(),i=i.top-n.document.scrollTop();o.height=n.uiDialog.height(),o.width=n.uiDialog.width(),o.position={my:"left top",at:"left"+(0<=s?"+":"")+s+" top"+(0<=i?"+":"")+i,of:n.window},n._removeClass(V(this),"ui-dialog-resizing"),n._unblockFrames(),n._trigger("resizeStop",t,a(e))}}).css("position",e)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=V(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),e=V.inArray(this,t);-1!==e&&t.splice(e,1)},_trackingInstances:function(){var t=this.document.data("ui-dialog-instances");return t||this.document.data("ui-dialog-instances",t=[]),t},_minHeight:function(){var t=this.options;return"auto"===t.height?t.minHeight:Math.min(t.minHeight,t.height)},_position:function(){var t=this.uiDialog.is(":visible");t||this.uiDialog.show(),this.uiDialog.position(this.options.position),t||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};V.each(t,function(t,e){i._setOption(t,e),t in i.sizeRelatedOptions&&(s=!0),t in i.resizableRelatedOptions&&(n[t]=e)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(t,e){var i,s=this.uiDialog;"disabled"!==t&&(this._super(t,e),"appendTo"===t&&this.uiDialog.appendTo(this._appendTo()),"buttons"===t&&this._createButtons(),"closeText"===t&&this.uiDialogTitlebarClose.button({label:V("<a>").text(""+this.options.closeText).html()}),"draggable"===t&&((i=s.is(":data(ui-draggable)"))&&!e&&s.draggable("destroy"),!i&&e&&this._makeDraggable()),"position"===t&&this._position(),"resizable"===t&&((i=s.is(":data(ui-resizable)"))&&!e&&s.resizable("destroy"),i&&"string"==typeof e&&s.resizable("option","handles",e),i||!1===e||this._makeResizable()),"title"===t&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var t,e,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),t=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),e=Math.max(0,s.minHeight-t),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-t):"none","auto"===s.height?this.element.css({minHeight:e,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-t)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=V(this);return V("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return!!V(t.target).closest(".ui-dialog").length||!!V(t.target).closest(".ui-datepicker").length},_createOverlay:function(){var i,s;this.options.modal&&(i=V.fn.jquery.substring(0,4),s=!0,this._delay(function(){s=!1}),this.document.data("ui-dialog-overlays")||this.document.on("focusin.ui-dialog",function(t){var e;s||((e=this._trackingInstances()[0])._allowInteraction(t)||(t.preventDefault(),e._focusTabbable(),"3.4."!==i&&"3.5."!==i||e._delay(e._restoreTabbableFocus)))}.bind(this)),this.overlay=V("<div>").appendTo(this._appendTo()),this._addClass(this.overlay,null,"ui-widget-overlay ui-front"),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1))},_destroyOverlay:function(){var t;this.options.modal&&this.overlay&&((t=this.document.data("ui-dialog-overlays")-1)?this.document.data("ui-dialog-overlays",t):(this.document.off("focusin.ui-dialog"),this.document.removeData("ui-dialog-overlays")),this.overlay.remove(),this.overlay=null)}}),!1!==V.uiBackCompat&&V.widget("ui.dialog",V.ui.dialog,{options:{dialogClass:""},_createWrapper:function(){this._super(),this.uiDialog.addClass(this.options.dialogClass)},_setOption:function(t,e){"dialogClass"===t&&this.uiDialog.removeClass(this.options.dialogClass).addClass(e),this._superApply(arguments)}});V.ui.dialog;function lt(t,e,i){return e<=t&&t<e+i}V.widget("ui.droppable",{version:"1.13.2",widgetEventPrefix:"drop",options:{accept:"*",addClasses:!0,greedy:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,e=this.options,i=e.accept;this.isover=!1,this.isout=!0,this.accept="function"==typeof i?i:function(t){return t.is(i)},this.proportions=function(){if(!arguments.length)return t=t||{width:this.element[0].offsetWidth,height:this.element[0].offsetHeight};t=arguments[0]},this._addToManager(e.scope),e.addClasses&&this._addClass("ui-droppable")},_addToManager:function(t){V.ui.ddmanager.droppables[t]=V.ui.ddmanager.droppables[t]||[],V.ui.ddmanager.droppables[t].push(this)},_splice:function(t){for(var e=0;e<t.length;e++)t[e]===this&&t.splice(e,1)},_destroy:function(){var t=V.ui.ddmanager.droppables[this.options.scope];this._splice(t)},_setOption:function(t,e){var i;"accept"===t?this.accept="function"==typeof e?e:function(t){return t.is(e)}:"scope"===t&&(i=V.ui.ddmanager.droppables[this.options.scope],this._splice(i),this._addToManager(e)),this._super(t,e)},_activate:function(t){var e=V.ui.ddmanager.current;this._addActiveClass(),e&&this._trigger("activate",t,this.ui(e))},_deactivate:function(t){var e=V.ui.ddmanager.current;this._removeActiveClass(),e&&this._trigger("deactivate",t,this.ui(e))},_over:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._addHoverClass(),this._trigger("over",t,this.ui(e)))},_out:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._removeHoverClass(),this._trigger("out",t,this.ui(e)))},_drop:function(e,t){var i=t||V.ui.ddmanager.current,s=!1;return!(!i||(i.currentItem||i.element)[0]===this.element[0])&&(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var t=V(this).droppable("instance");if(t.options.greedy&&!t.options.disabled&&t.options.scope===i.options.scope&&t.accept.call(t.element[0],i.currentItem||i.element)&&V.ui.intersect(i,V.extend(t,{offset:t.element.offset()}),t.options.tolerance,e))return!(s=!0)}),!s&&(!!this.accept.call(this.element[0],i.currentItem||i.element)&&(this._removeActiveClass(),this._removeHoverClass(),this._trigger("drop",e,this.ui(i)),this.element)))},ui:function(t){return{draggable:t.currentItem||t.element,helper:t.helper,position:t.position,offset:t.positionAbs}},_addHoverClass:function(){this._addClass("ui-droppable-hover")},_removeHoverClass:function(){this._removeClass("ui-droppable-hover")},_addActiveClass:function(){this._addClass("ui-droppable-active")},_removeActiveClass:function(){this._removeClass("ui-droppable-active")}}),V.ui.intersect=function(t,e,i,s){if(!e.offset)return!1;var n=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,a=n+t.helperProportions.width,r=o+t.helperProportions.height,l=e.offset.left,h=e.offset.top,c=l+e.proportions().width,u=h+e.proportions().height;switch(i){case"fit":return l<=n&&a<=c&&h<=o&&r<=u;case"intersect":return l<n+t.helperProportions.width/2&&a-t.helperProportions.width/2<c&&h<o+t.helperProportions.height/2&&r-t.helperProportions.height/2<u;case"pointer":return lt(s.pageY,h,e.proportions().height)&&lt(s.pageX,l,e.proportions().width);case"touch":return(h<=o&&o<=u||h<=r&&r<=u||o<h&&u<r)&&(l<=n&&n<=c||l<=a&&a<=c||n<l&&c<a);default:return!1}},!(V.ui.ddmanager={current:null,droppables:{default:[]},prepareOffsets:function(t,e){var i,s,n=V.ui.ddmanager.droppables[t.options.scope]||[],o=e?e.type:null,a=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();t:for(i=0;i<n.length;i++)if(!(n[i].options.disabled||t&&!n[i].accept.call(n[i].element[0],t.currentItem||t.element))){for(s=0;s<a.length;s++)if(a[s]===n[i].element[0]){n[i].proportions().height=0;continue t}n[i].visible="none"!==n[i].element.css("display"),n[i].visible&&("mousedown"===o&&n[i]._activate.call(n[i],e),n[i].offset=n[i].element.offset(),n[i].proportions({width:n[i].element[0].offsetWidth,height:n[i].element[0].offsetHeight}))}},drop:function(t,e){var i=!1;return V.each((V.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&V.ui.intersect(t,this,this.options.tolerance,e)&&(i=this._drop.call(this,e)||i),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,e)))}),i},dragStart:function(t,e){t.element.parentsUntil("body").on("scroll.droppable",function(){t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)})},drag:function(n,o){n.options.refreshPositions&&V.ui.ddmanager.prepareOffsets(n,o),V.each(V.ui.ddmanager.droppables[n.options.scope]||[],function(){var t,e,i,s;this.options.disabled||this.greedyChild||!this.visible||(s=!(i=V.ui.intersect(n,this,this.options.tolerance,o))&&this.isover?"isout":i&&!this.isover?"isover":null)&&(this.options.greedy&&(e=this.options.scope,(i=this.element.parents(":data(ui-droppable)").filter(function(){return V(this).droppable("instance").options.scope===e})).length&&((t=V(i[0]).droppable("instance")).greedyChild="isover"===s)),t&&"isover"===s&&(t.isover=!1,t.isout=!0,t._out.call(t,o)),this[s]=!0,this["isout"===s?"isover":"isout"]=!1,this["isover"===s?"_over":"_out"].call(this,o),t&&"isout"===s&&(t.isout=!1,t.isover=!0,t._over.call(t,o)))})},dragStop:function(t,e){t.element.parentsUntil("body").off("scroll.droppable"),t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)}})!==V.uiBackCompat&&V.widget("ui.droppable",V.ui.droppable,{options:{hoverClass:!1,activeClass:!1},_addActiveClass:function(){this._super(),this.options.activeClass&&this.element.addClass(this.options.activeClass)},_removeActiveClass:function(){this._super(),this.options.activeClass&&this.element.removeClass(this.options.activeClass)},_addHoverClass:function(){this._super(),this.options.hoverClass&&this.element.addClass(this.options.hoverClass)},_removeHoverClass:function(){this._super(),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass)}});V.ui.droppable,V.widget("ui.progressbar",{version:"1.13.2",options:{classes:{"ui-progressbar":"ui-corner-all","ui-progressbar-value":"ui-corner-left","ui-progressbar-complete":"ui-corner-right"},max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.attr({role:"progressbar","aria-valuemin":this.min}),this._addClass("ui-progressbar","ui-widget ui-widget-content"),this.valueDiv=V("<div>").appendTo(this.element),this._addClass(this.valueDiv,"ui-progressbar-value","ui-widget-header"),this._refreshValue()},_destroy:function(){this.element.removeAttr("role aria-valuemin aria-valuemax aria-valuenow"),this.valueDiv.remove()},value:function(t){if(void 0===t)return this.options.value;this.options.value=this._constrainedValue(t),this._refreshValue()},_constrainedValue:function(t){return void 0===t&&(t=this.options.value),this.indeterminate=!1===t,"number"!=typeof t&&(t=0),!this.indeterminate&&Math.min(this.options.max,Math.max(this.min,t))},_setOptions:function(t){var e=t.value;delete t.value,this._super(t),this.options.value=this._constrainedValue(e),this._refreshValue()},_setOption:function(t,e){"max"===t&&(e=Math.max(this.min,e)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,e=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).width(e.toFixed(0)+"%"),this._toggleClass(this.valueDiv,"ui-progressbar-complete",null,t===this.options.max)._toggleClass("ui-progressbar-indeterminate",null,this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=V("<div>").appendTo(this.valueDiv),this._addClass(this.overlayDiv,"ui-progressbar-overlay"))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),V.widget("ui.selectable",V.ui.mouse,{version:"1.13.2",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var i=this;this._addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){i.elementPos=V(i.element[0]).offset(),i.selectees=V(i.options.filter,i.element[0]),i._addClass(i.selectees,"ui-selectee"),i.selectees.each(function(){var t=V(this),e=t.offset(),e={left:e.left-i.elementPos.left,top:e.top-i.elementPos.top};V.data(this,"selectable-item",{element:this,$element:t,left:e.left,top:e.top,right:e.left+t.outerWidth(),bottom:e.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this._mouseInit(),this.helper=V("<div>"),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return l<a&&(t=l,l=a,a=t),h<r&&(t=h,h=r,r=t),this.helper.css({left:a,top:r,width:l-a,height:h-r}),this.selectees.each(function(){var t=V.data(this,"selectable-item"),e=!1,i={};t&&t.element!==n.element[0]&&(i.left=t.left+n.elementPos.left,i.right=t.right+n.elementPos.left,i.top=t.top+n.elementPos.top,i.bottom=t.bottom+n.elementPos.top,"touch"===o.tolerance?e=!(i.left>l||i.right<a||i.top>h||i.bottom<r):"fit"===o.tolerance&&(e=i.left>a&&i.right<l&&i.top>r&&i.bottom<h),e?(t.selected&&(n._removeClass(t.$element,"ui-selected"),t.selected=!1),t.unselecting&&(n._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1),t.selecting||(n._addClass(t.$element,"ui-selecting"),t.selecting=!0,n._trigger("selecting",s,{selecting:t.element}))):(t.selecting&&((s.metaKey||s.ctrlKey)&&t.startselected?(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,n._addClass(t.$element,"ui-selected"),t.selected=!0):(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,t.startselected&&(n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0),n._trigger("unselecting",s,{unselecting:t.element}))),t.selected&&(s.metaKey||s.ctrlKey||t.startselected||(n._removeClass(t.$element,"ui-selected"),t.selected=!1,n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,n._trigger("unselecting",s,{unselecting:t.element})))))}),!1}},_mouseStop:function(e){var i=this;return this.dragged=!1,V(".ui-unselecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1,t.startselected=!1,i._trigger("unselected",e,{unselected:t.element})}),V(".ui-selecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-selecting")._addClass(t.$element,"ui-selected"),t.selecting=!1,t.selected=!0,t.startselected=!0,i._trigger("selected",e,{selected:t.element})}),this._trigger("stop",e),this.helper.remove(),!1}}),V.widget("ui.selectmenu",[V.ui.formResetMixin,{version:"1.13.2",defaultElement:"<select>",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("<span>",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("<span>").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("<div>").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("<span>");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("<li>",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("<li>"),s=V("<div>",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html("&#160;")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.trigger("focus"))},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t<n;t++)s.push("<span tabindex='0'></span>");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("<div>").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e<s||s===e&&(t===r._lastChangedValue||r.values(t)===l.min))&&(s=e,n=V(this),o=t)}),!1!==this._start(t,o)&&(this._mouseSliding=!0,this._handleIndex=o,this._addClass(n,null,"ui-state-active"),n.trigger("focus"),e=n.offset(),a=!V(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=a?{left:0,top:0}:{left:t.pageX-e.left-n.width()/2,top:t.pageY-e.top-n.height()/2-(parseInt(n.css("borderTopWidth"),10)||0)-(parseInt(n.css("borderBottomWidth"),10)||0)+(parseInt(n.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,i),this._animateOff=!0))},_mouseStart:function(){return!0},_mouseDrag:function(t){var e={x:t.pageX,y:t.pageY},e=this._normValueFromMouse(e);return this._slide(t,this._handleIndex,e),!1},_mouseStop:function(t){return this._removeClass(this.handles,null,"ui-state-active"),this._mouseSliding=!1,this._stop(t,this._handleIndex),this._change(t,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(t){var e,t="horizontal"===this.orientation?(e=this.elementSize.width,t.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(e=this.elementSize.height,t.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),t=t/e;return(t=1<t?1:t)<0&&(t=0),"vertical"===this.orientation&&(t=1-t),e=this._valueMax()-this._valueMin(),e=this._valueMin()+t*e,this._trimAlignValue(e)},_uiHash:function(t,e,i){var s={handle:this.handles[t],handleIndex:t,value:void 0!==e?e:this.value()};return this._hasMultipleValues()&&(s.value=void 0!==e?e:this.values(t),s.values=i||this.values()),s},_hasMultipleValues:function(){return this.options.values&&this.options.values.length},_start:function(t,e){return this._trigger("start",t,this._uiHash(e))},_slide:function(t,e,i){var s,n=this.value(),o=this.values();this._hasMultipleValues()&&(s=this.values(e?0:1),n=this.values(e),2===this.options.values.length&&!0===this.options.range&&(i=0===e?Math.min(s,i):Math.max(s,i)),o[e]=i),i!==n&&!1!==this._trigger("slide",t,this._uiHash(e,i,o))&&(this._hasMultipleValues()?this.values(e,i):this.value(i))},_stop:function(t,e){this._trigger("stop",t,this._uiHash(e))},_change:function(t,e){this._keySliding||this._mouseSliding||(this._lastChangedValue=e,this._trigger("change",t,this._uiHash(e)))},value:function(t){return arguments.length?(this.options.value=this._trimAlignValue(t),this._refreshValue(),void this._change(null,0)):this._value()},values:function(t,e){var i,s,n;if(1<arguments.length)return this.options.values[t]=this._trimAlignValue(e),this._refreshValue(),void this._change(null,t);if(!arguments.length)return this._values();if(!Array.isArray(t))return this._hasMultipleValues()?this._values(t):this.value();for(i=this.options.values,s=t,n=0;n<i.length;n+=1)i[n]=this._trimAlignValue(s[n]),this._change(null,n);this._refreshValue()},_setOption:function(t,e){var i,s=0;switch("range"===t&&!0===this.options.range&&("min"===e?(this.options.value=this._values(0),this.options.values=null):"max"===e&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),Array.isArray(this.options.values)&&(s=this.options.values.length),this._super(t,e),t){case"orientation":this._detectOrientation(),this._removeClass("ui-slider-horizontal ui-slider-vertical")._addClass("ui-slider-"+this.orientation),this._refreshValue(),this.options.range&&this._refreshRange(e),this.handles.css("horizontal"===e?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),i=s-1;0<=i;i--)this._change(null,i);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_setOptionDisabled:function(t){this._super(t),this._toggleClass(null,"ui-state-disabled",!!t)},_value:function(){var t=this.options.value;return t=this._trimAlignValue(t)},_values:function(t){var e,i;if(arguments.length)return t=this.options.values[t],t=this._trimAlignValue(t);if(this._hasMultipleValues()){for(e=this.options.values.slice(),i=0;i<e.length;i+=1)e[i]=this._trimAlignValue(e[i]);return e}return[]},_trimAlignValue:function(t){if(t<=this._valueMin())return this._valueMin();if(t>=this._valueMax())return this._valueMax();var e=0<this.options.step?this.options.step:1,i=(t-this._valueMin())%e,t=t-i;return 2*Math.abs(i)>=e&&(t+=0<i?e:-e),parseFloat(t.toFixed(5))},_calculateNewMax:function(){var t=this.options.max,e=this._valueMin(),i=this.options.step;(t=Math.round((t-e)/i)*i+e)>this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t<e+i},_isFloating:function(t){return/left|right/.test(t.css("float"))||/inline|table-cell/.test(t.css("display"))},_create:function(){this.containerCache={},this._addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(t,e){this._super(t,e),"handle"===t&&this._setHandleClassName()},_setHandleClassName:function(){var t=this;this._removeClass(this.element.find(".ui-sortable-handle"),"ui-sortable-handle"),V.each(this.items,function(){t._addClass(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item,"ui-sortable-handle")})},_destroy:function(){this._mouseDestroy();for(var t=this.items.length-1;0<=t;t--)this.items[t].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,e){var i=null,s=!1,n=this;return!this.reverting&&(!this.options.disabled&&"static"!==this.options.type&&(this._refreshItems(t),V(t.target).parents().each(function(){if(V.data(this,n.widgetName+"-item")===n)return i=V(this),!1}),!!(i=V.data(t.target,n.widgetName+"-item")===n?V(t.target):i)&&(!(this.options.handle&&!e&&(V(this.options.handle,i).find("*").addBack().each(function(){this===t.target&&(s=!0)}),!s))&&(this.currentItem=i,this._removeCurrentsFromItems(),!0))))},_mouseStart:function(t,e,i){var s,n,o=this.options;if((this.currentContainer=this).refreshPositions(),this.appendTo=V("parent"!==o.appendTo?o.appendTo:this.currentItem.parent()),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},V.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),this.scrollParent=this.placeholder.scrollParent(),V.extend(this.offset,{parent:this._getParentOffset()}),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(n=this.document.find("body"),this.storedCursor=n.css("cursor"),n.css("cursor",o.cursor),this.storedStylesheet=V("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<e.scrollSensitivity?this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop+e.scrollSpeed:t.pageY-this.overflowOffset.top<e.scrollSensitivity&&(this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop-e.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<e.scrollSensitivity?this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft+e.scrollSpeed:t.pageX-this.overflowOffset.left<e.scrollSensitivity&&(this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft-e.scrollSpeed)):(t.pageY-this.document.scrollTop()<e.scrollSensitivity?i=this.document.scrollTop(this.document.scrollTop()-e.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<e.scrollSensitivity&&(i=this.document.scrollTop(this.document.scrollTop()+e.scrollSpeed)),t.pageX-this.document.scrollLeft()<e.scrollSensitivity?i=this.document.scrollLeft(this.document.scrollLeft()-e.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<e.scrollSensitivity&&(i=this.document.scrollLeft(this.document.scrollLeft()+e.scrollSpeed))),i},_mouseDrag:function(t){var e,i,s,n,o=this.options;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),o.scroll&&!1!==this._scroll(t)&&(this._refreshItemPositions(!0),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t)),this.dragDirection={vertical:this._getDragVerticalDirection(),horizontal:this._getDragHorizontalDirection()},e=this.items.length-1;0<=e;e--)if(s=(i=this.items[e]).item[0],(n=this._intersectsWithPointer(i))&&i.instance===this.currentContainer&&!(s===this.currentItem[0]||this.placeholder[1===n?"next":"prev"]()[0]===s||V.contains(this.placeholder[0],s)||"semi-dynamic"===this.options.type&&V.contains(this.element[0],s))){if(this.direction=1===n?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(i))break;this._rearrange(t,i),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),V.ui.ddmanager&&V.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,e){var i,s,n,o;if(t)return V.ui.ddmanager&&!this.options.dropBehaviour&&V.ui.ddmanager.drop(this,t),this.options.revert?(s=(i=this).placeholder.offset(),o={},(n=this.options.axis)&&"x"!==n||(o.left=s.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),n&&"y"!==n||(o.top=s.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,V(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){i._clear(t)})):this._clear(t,e),!1},cancel:function(){if(this.dragging){this._mouseUp(new V.Event("mouseup",{target:null})),"original"===this.options.helper?(this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")):this.currentItem.show();for(var t=this.containers.length-1;0<=t;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),V.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?V(this.domPosition.prev).after(this.currentItem):V(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(e){var t=this._getItemsAsjQuery(e&&e.connected),i=[];return e=e||{},V(t).each(function(){var t=(V(e.item||this).attr(e.attribute||"id")||"").match(e.expression||/(.+)[\-=_](.+)/);t&&i.push((e.key||t[1]+"[]")+"="+(e.key&&e.expression?t[1]:t[2]))}),!i.length&&e.key&&i.push(e.key+"="),i.join("&")},toArray:function(t){var e=this._getItemsAsjQuery(t&&t.connected),i=[];return t=t||{},e.each(function(){i.push(V(t.item||this).attr(t.attribute||"id")||"")}),i},_intersectsWith:function(t){var e=this.positionAbs.left,i=e+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,o=t.left,a=o+t.width,r=t.top,l=r+t.height,h=this.offset.click.top,c=this.offset.click.left,h="x"===this.options.axis||r<s+h&&s+h<l,c="y"===this.options.axis||o<e+c&&e+c<a;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>t[this.floating?"width":"height"]?h&&c:o<e+this.helperProportions.width/2&&i-this.helperProportions.width/2<a&&r<s+this.helperProportions.height/2&&n-this.helperProportions.height/2<l},_intersectsWithPointer:function(t){var e="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top,t.height),t="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left,t.width);return!(!e||!t)&&(e=this.dragDirection.vertical,t=this.dragDirection.horizontal,this.floating?"right"===t||"down"===e?2:1:e&&("down"===e?2:1))},_intersectsWithSides:function(t){var e=this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top+t.height/2,t.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left+t.width/2,t.width),s=this.dragDirection.vertical,t=this.dragDirection.horizontal;return this.floating&&t?"right"===t&&i||"left"===t&&!i:s&&("down"===s&&e||"up"===s&&!e)},_getDragVerticalDirection:function(){var t=this.positionAbs.top-this.lastPositionAbs.top;return 0!=t&&(0<t?"down":"up")},_getDragHorizontalDirection:function(){var t=this.positionAbs.left-this.lastPositionAbs.left;return 0!=t&&(0<t?"right":"left")},refresh:function(t){return this._refreshItems(t),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var t=this.options;return t.connectWith.constructor===String?[t.connectWith]:t.connectWith},_getItemsAsjQuery:function(t){var e,i,s,n,o=[],a=[],r=this._connectWith();if(r&&t)for(e=r.length-1;0<=e;e--)for(i=(s=V(r[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&a.push(["function"==typeof n.options.items?n.options.items.call(n.element):V(n.options.items,n.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),n]);function l(){o.push(this)}for(a.push(["function"==typeof this.options.items?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):V(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),e=a.length-1;0<=e;e--)a[e][0].each(l);return V(o)},_removeCurrentsFromItems:function(){var i=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=V.grep(this.items,function(t){for(var e=0;e<i.length;e++)if(i[e]===t.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var e,i,s,n,o,a,r,l,h=this.items,c=[["function"==typeof this.options.items?this.options.items.call(this.element[0],t,{item:this.currentItem}):V(this.options.items,this.element),this]],u=this._connectWith();if(u&&this.ready)for(e=u.length-1;0<=e;e--)for(i=(s=V(u[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&(c.push(["function"==typeof n.options.items?n.options.items.call(n.element[0],t,{item:this.currentItem}):V(n.options.items,n.element),n]),this.containers.push(n));for(e=c.length-1;0<=e;e--)for(o=c[e][1],l=(a=c[e][i=0]).length;i<l;i++)(r=V(a[i])).data(this.widgetName+"-item",o),h.push({item:r,instance:o,width:0,height:0,left:0,top:0})},_refreshItemPositions:function(t){for(var e,i,s=this.items.length-1;0<=s;s--)e=this.items[s],this.currentContainer&&e.instance!==this.currentContainer&&e.item[0]!==this.currentItem[0]||(i=this.options.toleranceElement?V(this.options.toleranceElement,e.item):e.item,t||(e.width=i.outerWidth(),e.height=i.outerHeight()),i=i.offset(),e.left=i.left,e.top=i.top)},refreshPositions:function(t){var e,i;if(this.floating=!!this.items.length&&("x"===this.options.axis||this._isFloating(this.items[0].item)),this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset()),this._refreshItemPositions(t),this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(e=this.containers.length-1;0<=e;e--)i=this.containers[e].element.offset(),this.containers[e].containerCache.left=i.left,this.containers[e].containerCache.top=i.top,this.containers[e].containerCache.width=this.containers[e].element.outerWidth(),this.containers[e].containerCache.height=this.containers[e].element.outerHeight();return this},_createPlaceholder:function(i){var s,n,o=(i=i||this).options;o.placeholder&&o.placeholder.constructor!==String||(s=o.placeholder,n=i.currentItem[0].nodeName.toLowerCase(),o.placeholder={element:function(){var t=V("<"+n+">",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("<tr>",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var i=this;t.children().each(function(){V("<td>&#160;</td>",i.document[0]).attr("colspan",V(this).attr("colspan")||1).appendTo(e)})},_contactContainers:function(t){for(var e,i,s,n,o,a,r,l,h,c=null,u=null,d=this.containers.length-1;0<=d;d--)V.contains(this.currentItem[0],this.containers[d].element[0])||(this._intersectsWith(this.containers[d].containerCache)?c&&V.contains(this.containers[d].element[0],c.element[0])||(c=this.containers[d],u=d):this.containers[d].containerCache.over&&(this.containers[d]._trigger("out",t,this._uiHash(this)),this.containers[d].containerCache.over=0));if(c)if(1===this.containers.length)this.containers[u].containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1);else{for(i=1e4,s=null,n=(l=c.floating||this._isFloating(this.currentItem))?"left":"top",o=l?"width":"height",h=l?"pageX":"pageY",e=this.items.length-1;0<=e;e--)V.contains(this.containers[u].element[0],this.items[e].item[0])&&this.items[e].item[0]!==this.currentItem[0]&&(a=this.items[e].item.offset()[n],r=!1,t[h]-a>this.items[e][o]/2&&(r=!0),Math.abs(t[h]-a)<i&&(i=Math.abs(t[h]-a),s=this.items[e],this.direction=r?"up":"down"));(s||this.options.dropOnEmpty)&&(this.currentContainer!==this.containers[u]?(s?this._rearrange(t,s,null,!0):this._rearrange(t,null,this.containers[u].element,!0),this._trigger("change",t,this._uiHash()),this.containers[u]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[u],this.options.placeholder.update(this.currentContainer,this.placeholder),this.scrollParent=this.placeholder.scrollParent(),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1):this.currentContainer.containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1))}},_createHelper:function(t){var e=this.options,t="function"==typeof e.helper?V(e.helper.apply(this.element[0],[t,this.currentItem])):"clone"===e.helper?this.currentItem.clone():this.currentItem;return t.parents("body").length||this.appendTo[0].appendChild(t[0]),t[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),t[0].style.width&&!e.forceHelperSize||t.width(this.currentItem.width()),t[0].style.height&&!e.forceHelperSize||t.height(this.currentItem.height()),t},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),"left"in(t=Array.isArray(t)?{left:+t[0],top:+t[1]||0}:t)&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),{top:(t=this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&V.ui.ie?{top:0,left:0}:t).top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var t=this.currentItem.position();return{top:t.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:t.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,e,i=this.options;"parent"===i.containment&&(i.containment=this.helper[0].parentNode),"document"!==i.containment&&"window"!==i.containment||(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===i.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===i.containment?this.document.height()||document.body.parentNode.scrollHeight:this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(i.containment)||(t=V(i.containment)[0],e=V(i.containment).offset(),i="hidden"!==V(t).css("overflow"),this.containment=[e.left+(parseInt(V(t).css("borderLeftWidth"),10)||0)+(parseInt(V(t).css("paddingLeft"),10)||0)-this.margins.left,e.top+(parseInt(V(t).css("borderTopWidth"),10)||0)+(parseInt(V(t).css("paddingTop"),10)||0)-this.margins.top,e.left+(i?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(V(t).css("borderLeftWidth"),10)||0)-(parseInt(V(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,e.top+(i?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(V(t).css("borderTopWidth"),10)||0)-(parseInt(V(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,s="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,t=/(html|body)/i.test(s[0].tagName);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():t?0:s.scrollTop())*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():t?0:s.scrollLeft())*i}},_generatePosition:function(t){var e=this.options,i=t.pageX,s=t.pageY,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,o=/(html|body)/i.test(n[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(i=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(s=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(i=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(s=this.containment[3]+this.offset.click.top)),e.grid&&(t=this.originalPageY+Math.round((s-this.originalPageY)/e.grid[1])*e.grid[1],s=!this.containment||t-this.offset.click.top>=this.containment[1]&&t-this.offset.click.top<=this.containment[3]?t:t-this.offset.click.top>=this.containment[1]?t-e.grid[1]:t+e.grid[1],t=this.originalPageX+Math.round((i-this.originalPageX)/e.grid[0])*e.grid[0],i=!this.containment||t-this.offset.click.left>=this.containment[0]&&t-this.offset.click.left<=this.containment[2]?t:t-this.offset.click.left>=this.containment[0]?t-e.grid[0]:t+e.grid[0])),{top:s-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():o?0:n.scrollTop()),left:i-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():o?0:n.scrollLeft())}},_rearrange:function(t,e,i,s){i?i[0].appendChild(this.placeholder[0]):e.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?e.item[0]:e.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(t,e){this.reverting=!1;var i,s=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(i in this._storedCSS)"auto"!==this._storedCSS[i]&&"static"!==this._storedCSS[i]||(this._storedCSS[i]="");this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")}else this.currentItem.show();function n(e,i,s){return function(t){s._trigger(e,t,i._uiHash(i))}}for(this.fromOutside&&!e&&s.push(function(t){this._trigger("receive",t,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||e||s.push(function(t){this._trigger("update",t,this._uiHash())}),this!==this.currentContainer&&(e||(s.push(function(t){this._trigger("remove",t,this._uiHash())}),s.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),s.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),i=this.containers.length-1;0<=i;i--)e||s.push(n("deactivate",this,this.containers[i])),this.containers[i].containerCache.over&&(s.push(n("out",this,this.containers[i])),this.containers[i].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,e||this._trigger("beforeStop",t,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!e){for(i=0;i<s.length;i++)s[i].call(this,t);this._trigger("stop",t,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){!1===V.Widget.prototype._trigger.apply(this,arguments)&&this.cancel()},_uiHash:function(t){var e=t||this;return{helper:e.helper,placeholder:e.placeholder||V([]),position:e.position,originalPosition:e.originalPosition,offset:e.positionAbs,item:e.currentItem,sender:t?t.element:null}}});function ht(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}V.widget("ui.spinner",{version:"1.13.2",defaultElement:"<input>",widgetEventPrefix:"spin",options:{classes:{"ui-spinner":"ui-corner-all","ui-spinner-down":"ui-corner-br","ui-spinner-up":"ui-corner-tr"},culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var s=this._super(),n=this.element;return V.each(["min","max","step"],function(t,e){var i=n.attr(e);null!=i&&i.length&&(s[e]=i)}),s},_events:{keydown:function(t){this._start(t)&&this._keydown(t)&&t.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(t){this.cancelBlur?delete this.cancelBlur:(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",t))},mousewheel:function(t,e){var i=V.ui.safeActiveElement(this.document[0]);if(this.element[0]===i&&e){if(!this.spinning&&!this._start(t))return!1;this._spin((0<e?1:-1)*this.options.step,t),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(t)},100),t.preventDefault()}},"mousedown .ui-spinner-button":function(t){var e;function i(){this.element[0]===V.ui.safeActiveElement(this.document[0])||(this.element.trigger("focus"),this.previous=e,this._delay(function(){this.previous=e}))}e=this.element[0]===V.ui.safeActiveElement(this.document[0])?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),!1!==this._start(t)&&this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){if(V(t.currentTarget).hasClass("ui-state-active"))return!1!==this._start(t)&&void this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseleave .ui-spinner-button":"_stop"},_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap("<span>").parent().append("<a></a><a></a>")},_draw:function(){this._enhance(),this._addClass(this.uiSpinner,"ui-spinner","ui-widget ui-widget-content"),this._addClass("ui-spinner-input"),this.element.attr("role","spinbutton"),this.buttons=this.uiSpinner.children("a").attr("tabIndex",-1).attr("aria-hidden",!0).button({classes:{"ui-button":""}}),this._removeClass(this.buttons,"ui-corner-all"),this._addClass(this.buttons.first(),"ui-spinner-button ui-spinner-up"),this._addClass(this.buttons.last(),"ui-spinner-button ui-spinner-down"),this.buttons.first().button({icon:this.options.icons.up,showLabel:!1}),this.buttons.last().button({icon:this.options.icons.down,showLabel:!1}),this.buttons.height()>Math.ceil(.5*this.uiSpinner.height())&&0<this.uiSpinner.height()&&this.uiSpinner.height(this.uiSpinner.height())},_keydown:function(t){var e=this.options,i=V.ui.keyCode;switch(t.keyCode){case i.UP:return this._repeat(null,1,t),!0;case i.DOWN:return this._repeat(null,-1,t),!0;case i.PAGE_UP:return this._repeat(null,e.page,t),!0;case i.PAGE_DOWN:return this._repeat(null,-e.page,t),!0}return!1},_start:function(t){return!(!this.spinning&&!1===this._trigger("start",t))&&(this.counter||(this.counter=1),this.spinning=!0)},_repeat:function(t,e,i){t=t||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,e,i)},t),this._spin(e*this.options.step,i)},_spin:function(t,e){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+t*this._increment(this.counter)),this.spinning&&!1===this._trigger("spin",e,{value:i})||(this._value(i),this.counter++)},_increment:function(t){var e=this.options.incremental;return e?"function"==typeof e?e(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_adjustValue:function(t){var e=this.options,i=null!==e.min?e.min:0,s=t-i;return t=i+Math.round(s/e.step)*e.step,t=parseFloat(t.toFixed(this._precision())),null!==e.max&&t>e.max?e.max:null!==e.min&&t<e.min?e.min:t},_stop:function(t){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",t))},_setOption:function(t,e){var i;if("culture"===t||"numberFormat"===t)return i=this._parse(this.element.val()),this.options[t]=e,void this.element.val(this._format(i));"max"!==t&&"min"!==t&&"step"!==t||"string"==typeof e&&(e=this._parse(e)),"icons"===t&&(i=this.buttons.first().find(".ui-icon"),this._removeClass(i,null,this.options.icons.up),this._addClass(i,null,e.up),i=this.buttons.last().find(".ui-icon"),this._removeClass(i,null,this.options.icons.down),this._addClass(i,null,e.down)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this._toggleClass(this.uiSpinner,null,"ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable")},_setOptions:ht(function(t){this._super(t)}),_parse:function(t){return""===(t="string"==typeof t&&""!==t?window.Globalize&&this.options.numberFormat?Globalize.parseFloat(t,10,this.options.culture):+t:t)||isNaN(t)?null:t},_format:function(t){return""===t?"":window.Globalize&&this.options.numberFormat?Globalize.format(t,this.options.numberFormat,this.options.culture):t},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var t=this.value();return null!==t&&t===this._adjustValue(t)},_value:function(t,e){var i;""!==t&&null!==(i=this._parse(t))&&(e||(i=this._adjustValue(i)),t=this._format(i)),this.element.val(t),this._refresh()},_destroy:function(){this.element.prop("disabled",!1).removeAttr("autocomplete role aria-valuemin aria-valuemax aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:ht(function(t){this._stepUp(t)}),_stepUp:function(t){this._start()&&(this._spin((t||1)*this.options.step),this._stop())},stepDown:ht(function(t){this._stepDown(t)}),_stepDown:function(t){this._start()&&(this._spin((t||1)*-this.options.step),this._stop())},pageUp:ht(function(t){this._stepUp((t||1)*this.options.page)}),pageDown:ht(function(t){this._stepDown((t||1)*this.options.page)}),value:function(t){if(!arguments.length)return this._parse(this.element.val());ht(this._value).call(this,t)},widget:function(){return this.uiSpinner}}),!1!==V.uiBackCompat&&V.widget("ui.spinner",V.ui.spinner,{_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml())},_uiSpinnerHtml:function(){return"<span>"},_buttonHtml:function(){return"<a></a><a></a>"}});var ct;V.ui.spinner;V.widget("ui.tabs",{version:"1.13.2",delay:300,options:{active:null,classes:{"ui-tabs":"ui-corner-all","ui-tabs-nav":"ui-corner-all","ui-tabs-panel":"ui-corner-bottom","ui-tabs-tab":"ui-corner-top"},collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:(ct=/#.*$/,function(t){var e=t.href.replace(ct,""),i=location.href.replace(ct,"");try{e=decodeURIComponent(e)}catch(t){}try{i=decodeURIComponent(i)}catch(t){}return 1<t.hash.length&&e===i}),_create:function(){var e=this,t=this.options;this.running=!1,this._addClass("ui-tabs","ui-widget ui-widget-content"),this._toggleClass("ui-tabs-collapsible",null,t.collapsible),this._processTabs(),t.active=this._initialActive(),Array.isArray(t.disabled)&&(t.disabled=V.uniqueSort(t.disabled.concat(V.map(this.tabs.filter(".ui-state-disabled"),function(t){return e.tabs.index(t)}))).sort()),!1!==this.options.active&&this.anchors.length?this.active=this._findActive(t.active):this.active=V(),this._refresh(),this.active.length&&this.load(t.active)},_initialActive:function(){var i=this.options.active,t=this.options.collapsible,s=location.hash.substring(1);return null===i&&(s&&this.tabs.each(function(t,e){if(V(e).attr("aria-controls")===s)return i=t,!1}),null!==(i=null===i?this.tabs.index(this.tabs.filter(".ui-tabs-active")):i)&&-1!==i||(i=!!this.tabs.length&&0)),!1!==i&&-1===(i=this.tabs.index(this.tabs.eq(i)))&&(i=!t&&0),i=!t&&!1===i&&this.anchors.length?0:i},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):V()}},_tabKeydown:function(t){var e=V(V.ui.safeActiveElement(this.document[0])).closest("li"),i=this.tabs.index(e),s=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:i++;break;case V.ui.keyCode.UP:case V.ui.keyCode.LEFT:s=!1,i--;break;case V.ui.keyCode.END:i=this.anchors.length-1;break;case V.ui.keyCode.HOME:i=0;break;case V.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),void this._activate(i);case V.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),void this._activate(i!==this.options.active&&i);default:return}t.preventDefault(),clearTimeout(this.activating),i=this._focusNextTab(i,s),t.ctrlKey||t.metaKey||(e.attr("aria-selected","false"),this.tabs.eq(i).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",i)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===V.ui.keyCode.UP&&(t.preventDefault(),this.active.trigger("focus"))},_handlePageNav:function(t){return t.altKey&&t.keyCode===V.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===V.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,e){var i=this.tabs.length-1;for(;-1!==V.inArray(t=(t=i<t?0:t)<0?i:t,this.options.disabled);)t=e?t+1:t-1;return t},_focusNextTab:function(t,e){return t=this._findNextTab(t,e),this.tabs.eq(t).trigger("focus"),t},_setOption:function(t,e){"active"!==t?(this._super(t,e),"collapsible"===t&&(this._toggleClass("ui-tabs-collapsible",null,e),e||!1!==this.options.active||this._activate(0)),"event"===t&&this._setupEvents(e),"heightStyle"===t&&this._setupHeightStyle(e)):this._activate(e)},_sanitizeSelector:function(t){return t?t.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,e=this.tablist.children(":has(a[href])");t.disabled=V.map(e.filter(".ui-state-disabled"),function(t){return e.index(t)}),this._processTabs(),!1!==t.active&&this.anchors.length?this.active.length&&!V.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=V()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=V()),this._refresh()},_refresh:function(){this._setOptionDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._addClass(this.active,"ui-tabs-active","ui-state-active"),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var l=this,t=this.tabs,e=this.anchors,i=this.panels;this.tablist=this._getList().attr("role","tablist"),this._addClass(this.tablist,"ui-tabs-nav","ui-helper-reset ui-helper-clearfix ui-widget-header"),this.tablist.on("mousedown"+this.eventNamespace,"> li",function(t){V(this).is(".ui-state-disabled")&&t.preventDefault()}).on("focus"+this.eventNamespace,".ui-tabs-anchor",function(){V(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").attr({role:"tab",tabIndex:-1}),this._addClass(this.tabs,"ui-tabs-tab","ui-state-default"),this.anchors=this.tabs.map(function(){return V("a",this)[0]}).attr({tabIndex:-1}),this._addClass(this.anchors,"ui-tabs-anchor"),this.panels=V(),this.anchors.each(function(t,e){var i,s,n,o=V(e).uniqueId().attr("id"),a=V(e).closest("li"),r=a.attr("aria-controls");l._isLocal(e)?(n=(i=e.hash).substring(1),s=l.element.find(l._sanitizeSelector(i))):(n=a.attr("aria-controls")||V({}).uniqueId()[0].id,(s=l.element.find(i="#"+n)).length||(s=l._createPanel(n)).insertAfter(l.panels[t-1]||l.tablist),s.attr("aria-live","polite")),s.length&&(l.panels=l.panels.add(s)),r&&a.data("ui-tabs-aria-controls",r),a.attr({"aria-controls":n,"aria-labelledby":o}),s.attr("aria-labelledby",o)}),this.panels.attr("role","tabpanel"),this._addClass(this.panels,"ui-tabs-panel","ui-widget-content"),t&&(this._off(t.not(this.tabs)),this._off(e.not(this.anchors)),this._off(i.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol, ul").eq(0)},_createPanel:function(t){return V("<div>").attr("id",t).data("ui-tabs-destroy",!0)},_setOptionDisabled:function(t){var e,i;for(Array.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1),i=0;e=this.tabs[i];i++)e=V(e),!0===t||-1!==V.inArray(i,t)?(e.attr("aria-disabled","true"),this._addClass(e,null,"ui-state-disabled")):(e.removeAttr("aria-disabled"),this._removeClass(e,null,"ui-state-disabled"));this.options.disabled=t,this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!0===t)},_setupEvents:function(t){var i={};t&&V.each(t.split(" "),function(t,e){i[e]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(t){t.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,e=this.element.parent();"fill"===t?(i=e.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=V(this).outerHeight(!0)}),this.panels.each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,V(this).height("").height())}).height(i))},_eventHandler:function(t){var e=this.options,i=this.active,s=V(t.currentTarget).closest("li"),n=s[0]===i[0],o=n&&e.collapsible,a=o?V():this._getPanelForTab(s),r=i.length?this._getPanelForTab(i):V(),i={oldTab:i,oldPanel:r,newTab:o?V():s,newPanel:a};t.preventDefault(),s.hasClass("ui-state-disabled")||s.hasClass("ui-tabs-loading")||this.running||n&&!e.collapsible||!1===this._trigger("beforeActivate",t,i)||(e.active=!o&&this.tabs.index(s),this.active=n?V():s,this.xhr&&this.xhr.abort(),r.length||a.length||V.error("jQuery UI Tabs: Mismatching fragment identifier."),a.length&&this.load(this.tabs.index(s),t),this._toggle(t,i))},_toggle:function(t,e){var i=this,s=e.newPanel,n=e.oldPanel;function o(){i.running=!1,i._trigger("activate",t,e)}function a(){i._addClass(e.newTab.closest("li"),"ui-tabs-active","ui-state-active"),s.length&&i.options.show?i._show(s,i.options.show,o):(s.show(),o())}this.running=!0,n.length&&this.options.hide?this._hide(n,this.options.hide,function(){i._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),a()}):(this._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),n.hide(),a()),n.attr("aria-hidden","true"),e.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),s.length&&n.length?e.oldTab.attr("tabIndex",-1):s.length&&this.tabs.filter(function(){return 0===V(this).attr("tabIndex")}).attr("tabIndex",-1),s.attr("aria-hidden","false"),e.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var t=this._findActive(t);t[0]!==this.active[0]&&(t=(t=!t.length?this.active:t).find(".ui-tabs-anchor")[0],this._eventHandler({target:t,currentTarget:t,preventDefault:V.noop}))},_findActive:function(t){return!1===t?V():this.tabs.eq(t)},_getIndex:function(t){return t="string"==typeof t?this.anchors.index(this.anchors.filter("[href$='"+V.escapeSelector(t)+"']")):t},_destroy:function(){this.xhr&&this.xhr.abort(),this.tablist.removeAttr("role").off(this.eventNamespace),this.anchors.removeAttr("role tabIndex").removeUniqueId(),this.tabs.add(this.panels).each(function(){V.data(this,"ui-tabs-destroy")?V(this).remove():V(this).removeAttr("role tabIndex aria-live aria-busy aria-selected aria-labelledby aria-hidden aria-expanded")}),this.tabs.each(function(){var t=V(this),e=t.data("ui-tabs-aria-controls");e?t.attr("aria-controls",e).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(i){var t=this.options.disabled;!1!==t&&(t=void 0!==i&&(i=this._getIndex(i),Array.isArray(t)?V.map(t,function(t){return t!==i?t:null}):V.map(this.tabs,function(t,e){return e!==i?e:null})),this._setOptionDisabled(t))},disable:function(t){var e=this.options.disabled;if(!0!==e){if(void 0===t)e=!0;else{if(t=this._getIndex(t),-1!==V.inArray(t,e))return;e=Array.isArray(e)?V.merge([t],e).sort():[t]}this._setOptionDisabled(e)}},load:function(t,s){t=this._getIndex(t);function n(t,e){"abort"===e&&o.panels.stop(!1,!0),o._removeClass(i,"ui-tabs-loading"),a.removeAttr("aria-busy"),t===o.xhr&&delete o.xhr}var o=this,i=this.tabs.eq(t),t=i.find(".ui-tabs-anchor"),a=this._getPanelForTab(i),r={tab:i,panel:a};this._isLocal(t[0])||(this.xhr=V.ajax(this._ajaxSettings(t,s,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(this._addClass(i,"ui-tabs-loading"),a.attr("aria-busy","true"),this.xhr.done(function(t,e,i){setTimeout(function(){a.html(t),o._trigger("load",s,r),n(i,e)},1)}).fail(function(t,e){setTimeout(function(){n(t,e)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href").replace(/#.*$/,""),beforeSend:function(t,e){return n._trigger("beforeLoad",i,V.extend({jqXHR:t,ajaxSettings:e},s))}}},_getPanelForTab:function(t){t=V(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+t))}}),!1!==V.uiBackCompat&&V.widget("ui.tabs",V.ui.tabs,{_processTabs:function(){this._superApply(arguments),this._addClass(this.tabs,"ui-tab")}});V.ui.tabs;V.widget("ui.tooltip",{version:"1.13.2",options:{classes:{"ui-tooltip":"ui-corner-all ui-widget-shadow"},content:function(){var t=V(this).attr("title");return V("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,track:!1,close:null,open:null},_addDescribedBy:function(t,e){var i=(t.attr("aria-describedby")||"").split(/\s+/);i.push(e),t.data("ui-tooltip-id",e).attr("aria-describedby",String.prototype.trim.call(i.join(" ")))},_removeDescribedBy:function(t){var e=t.data("ui-tooltip-id"),i=(t.attr("aria-describedby")||"").split(/\s+/),e=V.inArray(e,i);-1!==e&&i.splice(e,1),t.removeData("ui-tooltip-id"),(i=String.prototype.trim.call(i.join(" ")))?t.attr("aria-describedby",i):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.liveRegion=V("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this.disabledTitles=V([])},_setOption:function(t,e){var i=this;this._super(t,e),"content"===t&&V.each(this.tooltips,function(t,e){i._updateContent(e.element)})},_setOptionDisabled:function(t){this[t?"_disable":"_enable"]()},_disable:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur");i.target=i.currentTarget=e.element[0],s.close(i,!0)}),this.disabledTitles=this.disabledTitles.add(this.element.find(this.options.items).addBack().filter(function(){var t=V(this);if(t.is("[title]"))return t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")}))},_enable:function(){this.disabledTitles.each(function(){var t=V(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))}),this.disabledTitles=V([])},open:function(t){var i=this,e=V(t?t.target:this.element).closest(this.options.items);e.length&&!e.data("ui-tooltip-id")&&(e.attr("title")&&e.data("ui-tooltip-title",e.attr("title")),e.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&e.parents().each(function(){var t,e=V(this);e.data("ui-tooltip-open")&&((t=V.Event("blur")).target=t.currentTarget=this,i.close(t,!0)),e.attr("title")&&(e.uniqueId(),i.parents[this.id]={element:this,title:e.attr("title")},e.attr("title",""))}),this._registerCloseHandlers(t,e),this._updateContent(e,t))},_updateContent:function(e,i){var t=this.options.content,s=this,n=i?i.type:null;if("string"==typeof t||t.nodeType||t.jquery)return this._open(i,e,t);(t=t.call(e[0],function(t){s._delay(function(){e.data("ui-tooltip-open")&&(i&&(i.type=n),this._open(i,e,t))})}))&&this._open(i,e,t)},_open:function(t,e,i){var s,n,o,a=V.extend({},this.options.position);function r(t){a.of=t,n.is(":hidden")||n.position(a)}i&&((s=this._find(e))?s.tooltip.find(".ui-tooltip-content").html(i):(e.is("[title]")&&(t&&"mouseover"===t.type?e.attr("title",""):e.removeAttr("title")),s=this._tooltip(e),n=s.tooltip,this._addDescribedBy(e,n.attr("id")),n.find(".ui-tooltip-content").html(i),this.liveRegion.children().hide(),(i=V("<div>").html(n.find(".ui-tooltip-content").html())).removeAttr("name").find("[name]").removeAttr("name"),i.removeAttr("id").find("[id]").removeAttr("id"),i.appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:r}),r(t)):n.position(V.extend({of:e},this.options.position)),n.hide(),this._show(n,this.options.show),this.options.track&&this.options.show&&this.options.show.delay&&(o=this.delayedShow=setInterval(function(){n.is(":visible")&&(r(a.of),clearInterval(o))},13)),this._trigger("open",t,{tooltip:n})))},_registerCloseHandlers:function(t,e){var i={keyup:function(t){t.keyCode===V.ui.keyCode.ESCAPE&&((t=V.Event(t)).currentTarget=e[0],this.close(t,!0))}};e[0]!==this.element[0]&&(i.remove=function(){var t=this._find(e);t&&this._removeTooltip(t.tooltip)}),t&&"mouseover"!==t.type||(i.mouseleave="close"),t&&"focusin"!==t.type||(i.focusout="close"),this._on(!0,e,i)},close:function(t){var e,i=this,s=V(t?t.currentTarget:this.element),n=this._find(s);n?(e=n.tooltip,n.closing||(clearInterval(this.delayedShow),s.data("ui-tooltip-title")&&!s.attr("title")&&s.attr("title",s.data("ui-tooltip-title")),this._removeDescribedBy(s),n.hiding=!0,e.stop(!0),this._hide(e,this.options.hide,function(){i._removeTooltip(V(this))}),s.removeData("ui-tooltip-open"),this._off(s,"mouseleave focusout keyup"),s[0]!==this.element[0]&&this._off(s,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&V.each(this.parents,function(t,e){V(e.element).attr("title",e.title),delete i.parents[t]}),n.closing=!0,this._trigger("close",t,{tooltip:e}),n.hiding||(n.closing=!1))):s.removeData("ui-tooltip-open")},_tooltip:function(t){var e=V("<div>").attr("role","tooltip"),i=V("<div>").appendTo(e),s=e.uniqueId().attr("id");return this._addClass(i,"ui-tooltip-content"),this._addClass(e,"ui-tooltip","ui-widget ui-widget-content"),e.appendTo(this._appendTo(t)),this.tooltips[s]={element:t,tooltip:e}},_find:function(t){t=t.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(t){clearInterval(this.delayedShow),t.remove(),delete this.tooltips[t.attr("id")]},_appendTo:function(t){t=t.closest(".ui-front, dialog");return t=!t.length?this.document[0].body:t},_destroy:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur"),e=e.element;i.target=i.currentTarget=e[0],s.close(i,!0),V("#"+t).remove(),e.data("ui-tooltip-title")&&(e.attr("title")||e.attr("title",e.data("ui-tooltip-title")),e.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}}),!1!==V.uiBackCompat&&V.widget("ui.tooltip",V.ui.tooltip,{options:{tooltipClass:null},_tooltip:function(){var t=this._superApply(arguments);return this.options.tooltipClass&&t.tooltip.addClass(this.options.tooltipClass),t}});V.ui.tooltip});</script>
+(function(e){"function"==typeof define&&define.amd?define(["jquery"],e):e(jQuery)})(function(e){function t(t,s){var n,a,o,r=t.nodeName.toLowerCase();return"area"===r?(n=t.parentNode,a=n.name,t.href&&a&&"map"===n.nodeName.toLowerCase()?(o=e("img[usemap='#"+a+"']")[0],!!o&&i(o)):!1):(/^(input|select|textarea|button|object)$/.test(r)?!t.disabled:"a"===r?t.href||s:s)&&i(t)}function i(t){return e.expr.filters.visible(t)&&!e(t).parents().addBack().filter(function(){return"hidden"===e.css(this,"visibility")}).length}function s(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}e.ui=e.ui||{},e.extend(e.ui,{version:"1.11.4",keyCode:{BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38}}),e.fn.extend({scrollParent:function(t){var i=this.css("position"),s="absolute"===i,n=t?/(auto|scroll|hidden)/:/(auto|scroll)/,a=this.parents().filter(function(){var t=e(this);return s&&"static"===t.css("position")?!1:n.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==i&&a.length?a:e(this[0].ownerDocument||document)},uniqueId:function(){var e=0;return function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++e)})}}(),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&e(this).removeAttr("id")})}}),e.extend(e.expr[":"],{data:e.expr.createPseudo?e.expr.createPseudo(function(t){return function(i){return!!e.data(i,t)}}):function(t,i,s){return!!e.data(t,s[3])},focusable:function(i){return t(i,!isNaN(e.attr(i,"tabindex")))},tabbable:function(i){var s=e.attr(i,"tabindex"),n=isNaN(s);return(n||s>=0)&&t(i,!n)}}),e("<a>").outerWidth(1).jquery||e.each(["Width","Height"],function(t,i){function s(t,i,s,a){return e.each(n,function(){i-=parseFloat(e.css(t,"padding"+this))||0,s&&(i-=parseFloat(e.css(t,"border"+this+"Width"))||0),a&&(i-=parseFloat(e.css(t,"margin"+this))||0)}),i}var n="Width"===i?["Left","Right"]:["Top","Bottom"],a=i.toLowerCase(),o={innerWidth:e.fn.innerWidth,innerHeight:e.fn.innerHeight,outerWidth:e.fn.outerWidth,outerHeight:e.fn.outerHeight};e.fn["inner"+i]=function(t){return void 0===t?o["inner"+i].call(this):this.each(function(){e(this).css(a,s(this,t)+"px")})},e.fn["outer"+i]=function(t,n){return"number"!=typeof t?o["outer"+i].call(this,t):this.each(function(){e(this).css(a,s(this,t,!0,n)+"px")})}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e("<a>").data("a-b","a").removeData("a-b").data("a-b")&&(e.fn.removeData=function(t){return function(i){return arguments.length?t.call(this,e.camelCase(i)):t.call(this)}}(e.fn.removeData)),e.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase()),e.fn.extend({focus:function(t){return function(i,s){return"number"==typeof i?this.each(function(){var t=this;setTimeout(function(){e(t).focus(),s&&s.call(t)},i)}):t.apply(this,arguments)}}(e.fn.focus),disableSelection:function(){var e="onselectstart"in document.createElement("div")?"selectstart":"mousedown";return function(){return this.bind(e+".ui-disableSelection",function(e){e.preventDefault()})}}(),enableSelection:function(){return this.unbind(".ui-disableSelection")},zIndex:function(t){if(void 0!==t)return this.css("zIndex",t);if(this.length)for(var i,s,n=e(this[0]);n.length&&n[0]!==document;){if(i=n.css("position"),("absolute"===i||"relative"===i||"fixed"===i)&&(s=parseInt(n.css("zIndex"),10),!isNaN(s)&&0!==s))return s;n=n.parent()}return 0}}),e.ui.plugin={add:function(t,i,s){var n,a=e.ui[t].prototype;for(n in s)a.plugins[n]=a.plugins[n]||[],a.plugins[n].push([i,s[n]])},call:function(e,t,i,s){var n,a=e.plugins[t];if(a&&(s||e.element[0].parentNode&&11!==e.element[0].parentNode.nodeType))for(n=0;a.length>n;n++)e.options[a[n][0]]&&a[n][1].apply(e.element,i)}};var n=0,a=Array.prototype.slice;e.cleanData=function(t){return function(i){var s,n,a;for(a=0;null!=(n=i[a]);a++)try{s=e._data(n,"events"),s&&s.remove&&e(n).triggerHandler("remove")}catch(o){}t(i)}}(e.cleanData),e.widget=function(t,i,s){var n,a,o,r,h={},l=t.split(".")[0];return t=t.split(".")[1],n=l+"-"+t,s||(s=i,i=e.Widget),e.expr[":"][n.toLowerCase()]=function(t){return!!e.data(t,n)},e[l]=e[l]||{},a=e[l][t],o=e[l][t]=function(e,t){return this._createWidget?(arguments.length&&this._createWidget(e,t),void 0):new o(e,t)},e.extend(o,a,{version:s.version,_proto:e.extend({},s),_childConstructors:[]}),r=new i,r.options=e.widget.extend({},r.options),e.each(s,function(t,s){return e.isFunction(s)?(h[t]=function(){var e=function(){return i.prototype[t].apply(this,arguments)},n=function(e){return i.prototype[t].apply(this,e)};return function(){var t,i=this._super,a=this._superApply;return this._super=e,this._superApply=n,t=s.apply(this,arguments),this._super=i,this._superApply=a,t}}(),void 0):(h[t]=s,void 0)}),o.prototype=e.widget.extend(r,{widgetEventPrefix:a?r.widgetEventPrefix||t:t},h,{constructor:o,namespace:l,widgetName:t,widgetFullName:n}),a?(e.each(a._childConstructors,function(t,i){var s=i.prototype;e.widget(s.namespace+"."+s.widgetName,o,i._proto)}),delete a._childConstructors):i._childConstructors.push(o),e.widget.bridge(t,o),o},e.widget.extend=function(t){for(var i,s,n=a.call(arguments,1),o=0,r=n.length;r>o;o++)for(i in n[o])s=n[o][i],n[o].hasOwnProperty(i)&&void 0!==s&&(t[i]=e.isPlainObject(s)?e.isPlainObject(t[i])?e.widget.extend({},t[i],s):e.widget.extend({},s):s);return t},e.widget.bridge=function(t,i){var s=i.prototype.widgetFullName||t;e.fn[t]=function(n){var o="string"==typeof n,r=a.call(arguments,1),h=this;return o?this.each(function(){var i,a=e.data(this,s);return"instance"===n?(h=a,!1):a?e.isFunction(a[n])&&"_"!==n.charAt(0)?(i=a[n].apply(a,r),i!==a&&void 0!==i?(h=i&&i.jquery?h.pushStack(i.get()):i,!1):void 0):e.error("no such method '"+n+"' for "+t+" widget instance"):e.error("cannot call methods on "+t+" prior to initialization; "+"attempted to call method '"+n+"'")}):(r.length&&(n=e.widget.extend.apply(null,[n].concat(r))),this.each(function(){var t=e.data(this,s);t?(t.option(n||{}),t._init&&t._init()):e.data(this,s,new i(n,this))})),h}},e.Widget=function(){},e.Widget._childConstructors=[],e.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{disabled:!1,create:null},_createWidget:function(t,i){i=e(i||this.defaultElement||this)[0],this.element=e(i),this.uuid=n++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=e(),this.hoverable=e(),this.focusable=e(),i!==this&&(e.data(i,this.widgetFullName,this),this._on(!0,this.element,{remove:function(e){e.target===i&&this.destroy()}}),this.document=e(i.style?i.ownerDocument:i.document||i),this.window=e(this.document[0].defaultView||this.document[0].parentWindow)),this.options=e.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:e.noop,_getCreateEventData:e.noop,_create:e.noop,_init:e.noop,destroy:function(){this._destroy(),this.element.unbind(this.eventNamespace).removeData(this.widgetFullName).removeData(e.camelCase(this.widgetFullName)),this.widget().unbind(this.eventNamespace).removeAttr("aria-disabled").removeClass(this.widgetFullName+"-disabled "+"ui-state-disabled"),this.bindings.unbind(this.eventNamespace),this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus")},_destroy:e.noop,widget:function(){return this.element},option:function(t,i){var s,n,a,o=t;if(0===arguments.length)return e.widget.extend({},this.options);if("string"==typeof t)if(o={},s=t.split("."),t=s.shift(),s.length){for(n=o[t]=e.widget.extend({},this.options[t]),a=0;s.length-1>a;a++)n[s[a]]=n[s[a]]||{},n=n[s[a]];if(t=s.pop(),1===arguments.length)return void 0===n[t]?null:n[t];n[t]=i}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=i}return this._setOptions(o),this},_setOptions:function(e){var t;for(t in e)this._setOption(t,e[t]);return this},_setOption:function(e,t){return this.options[e]=t,"disabled"===e&&(this.widget().toggleClass(this.widgetFullName+"-disabled",!!t),t&&(this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus"))),this},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_on:function(t,i,s){var n,a=this;"boolean"!=typeof t&&(s=i,i=t,t=!1),s?(i=n=e(i),this.bindings=this.bindings.add(i)):(s=i,i=this.element,n=this.widget()),e.each(s,function(s,o){function r(){return t||a.options.disabled!==!0&&!e(this).hasClass("ui-state-disabled")?("string"==typeof o?a[o]:o).apply(a,arguments):void 0}"string"!=typeof o&&(r.guid=o.guid=o.guid||r.guid||e.guid++);var h=s.match(/^([\w:-]*)\s*(.*)$/),l=h[1]+a.eventNamespace,u=h[2];u?n.delegate(u,l,r):i.bind(l,r)})},_off:function(t,i){i=(i||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.unbind(i).undelegate(i),this.bindings=e(this.bindings.not(t).get()),this.focusable=e(this.focusable.not(t).get()),this.hoverable=e(this.hoverable.not(t).get())},_delay:function(e,t){function i(){return("string"==typeof e?s[e]:e).apply(s,arguments)}var s=this;return setTimeout(i,t||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){e(t.currentTarget).addClass("ui-state-hover")},mouseleave:function(t){e(t.currentTarget).removeClass("ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){e(t.currentTarget).addClass("ui-state-focus")},focusout:function(t){e(t.currentTarget).removeClass("ui-state-focus")}})},_trigger:function(t,i,s){var n,a,o=this.options[t];if(s=s||{},i=e.Event(i),i.type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),i.target=this.element[0],a=i.originalEvent)for(n in a)n in i||(i[n]=a[n]);return this.element.trigger(i,s),!(e.isFunction(o)&&o.apply(this.element[0],[i].concat(s))===!1||i.isDefaultPrevented())}},e.each({show:"fadeIn",hide:"fadeOut"},function(t,i){e.Widget.prototype["_"+t]=function(s,n,a){"string"==typeof n&&(n={effect:n});var o,r=n?n===!0||"number"==typeof n?i:n.effect||i:t;n=n||{},"number"==typeof n&&(n={duration:n}),o=!e.isEmptyObject(n),n.complete=a,n.delay&&s.delay(n.delay),o&&e.effects&&e.effects.effect[r]?s[t](n):r!==t&&s[r]?s[r](n.duration,n.easing,a):s.queue(function(i){e(this)[t](),a&&a.call(s[0]),i()})}}),e.widget;var o=!1;e(document).mouseup(function(){o=!1}),e.widget("ui.mouse",{version:"1.11.4",options:{cancel:"input,textarea,button,select,option",distance:1,delay:0},_mouseInit:function(){var t=this;this.element.bind("mousedown."+this.widgetName,function(e){return t._mouseDown(e)}).bind("click."+this.widgetName,function(i){return!0===e.data(i.target,t.widgetName+".preventClickEvent")?(e.removeData(i.target,t.widgetName+".preventClickEvent"),i.stopImmediatePropagation(),!1):void 0}),this.started=!1},_mouseDestroy:function(){this.element.unbind("."+this.widgetName),this._mouseMoveDelegate&&this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!o){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var i=this,s=1===t.which,n="string"==typeof this.options.cancel&&t.target.nodeName?e(t.target).closest(this.options.cancel).length:!1;return s&&!n&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){i.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(t)!==!1,!this._mouseStarted)?(t.preventDefault(),!0):(!0===e.data(t.target,this.widgetName+".preventClickEvent")&&e.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(e){return i._mouseMove(e)},this._mouseUpDelegate=function(e){return i._mouseUp(e)},this.document.bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),o=!0,!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(e.ui.ie&&(!document.documentMode||9>document.documentMode)&&!t.button)return this._mouseUp(t);if(!t.which)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,t)!==!1,this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){return this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&e.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),o=!1,!1},_mouseDistanceMet:function(e){return Math.max(Math.abs(this._mouseDownEvent.pageX-e.pageX),Math.abs(this._mouseDownEvent.pageY-e.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),function(){function t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
+})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
+i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
+t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
+},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>&#9650;</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>&#9660;</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e
+},_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,i){function s(){return t>n&&(t=0),0>t&&(t=n),t}for(var n=this.tabs.length-1;-1!==e.inArray(s(),this.options.disabled);)t=i?t+1:t-1;return t},_focusNextTab:function(e,t){return e=this._findNextTab(e,t),this.tabs.eq(e).focus(),e},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):"disabled"===e?(this._setupDisabled(t),void 0):(this._super(e,t),"collapsible"===e&&(this.element.toggleClass("ui-tabs-collapsible",t),t||this.options.active!==!1||this._activate(0)),"event"===e&&this._setupEvents(t),"heightStyle"===e&&this._setupHeightStyle(t),void 0)},_sanitizeSelector:function(e){return e?e.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,i=this.tablist.children(":has(a[href])");t.disabled=e.map(i.filter(".ui-state-disabled"),function(e){return i.index(e)}),this._processTabs(),t.active!==!1&&this.anchors.length?this.active.length&&!e.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=e()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=e()),this._refresh()},_refresh:function(){this._setupDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.addClass("ui-tabs-active ui-state-active").attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var t=this,i=this.tabs,s=this.anchors,n=this.panels;this.tablist=this._getList().addClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").attr("role","tablist").delegate("> li","mousedown"+this.eventNamespace,function(t){e(this).is(".ui-state-disabled")&&t.preventDefault()}).delegate(".ui-tabs-anchor","focus"+this.eventNamespace,function(){e(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").addClass("ui-state-default ui-corner-top").attr({role:"tab",tabIndex:-1}),this.anchors=this.tabs.map(function(){return e("a",this)[0]}).addClass("ui-tabs-anchor").attr({role:"presentation",tabIndex:-1}),this.panels=e(),this.anchors.each(function(i,s){var n,a,o,r=e(s).uniqueId().attr("id"),h=e(s).closest("li"),l=h.attr("aria-controls");t._isLocal(s)?(n=s.hash,o=n.substring(1),a=t.element.find(t._sanitizeSelector(n))):(o=h.attr("aria-controls")||e({}).uniqueId()[0].id,n="#"+o,a=t.element.find(n),a.length||(a=t._createPanel(o),a.insertAfter(t.panels[i-1]||t.tablist)),a.attr("aria-live","polite")),a.length&&(t.panels=t.panels.add(a)),l&&h.data("ui-tabs-aria-controls",l),h.attr({"aria-controls":o,"aria-labelledby":r}),a.attr("aria-labelledby",r)}),this.panels.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").attr("role","tabpanel"),i&&(this._off(i.not(this.tabs)),this._off(s.not(this.anchors)),this._off(n.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol,ul").eq(0)},_createPanel:function(t){return e("<div>").attr("id",t).addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").data("ui-tabs-destroy",!0)},_setupDisabled:function(t){e.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1);for(var i,s=0;i=this.tabs[s];s++)t===!0||-1!==e.inArray(s,t)?e(i).addClass("ui-state-disabled").attr("aria-disabled","true"):e(i).removeClass("ui-state-disabled").removeAttr("aria-disabled");this.options.disabled=t},_setupEvents:function(t){var i={};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(e){e.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,s=this.element.parent();"fill"===t?(i=s.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=e(this),s=t.css("position");"absolute"!==s&&"fixed"!==s&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=e(this).outerHeight(!0)}),this.panels.each(function(){e(this).height(Math.max(0,i-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,e(this).height("").height())}).height(i))},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n.closest("li"),o=a[0]===s[0],r=o&&i.collapsible,h=r?e():this._getPanelForTab(a),l=s.length?this._getPanelForTab(s):e(),u={oldTab:s,oldPanel:l,newTab:r?e():a,newPanel:h};t.preventDefault(),a.hasClass("ui-state-disabled")||a.hasClass("ui-tabs-loading")||this.running||o&&!i.collapsible||this._trigger("beforeActivate",t,u)===!1||(i.active=r?!1:this.tabs.index(a),this.active=o?e():a,this.xhr&&this.xhr.abort(),l.length||h.length||e.error("jQuery UI Tabs: Mismatching fragment identifier."),h.length&&this.load(this.tabs.index(a),t),this._toggle(t,u))},_toggle:function(t,i){function s(){a.running=!1,a._trigger("activate",t,i)}function n(){i.newTab.closest("li").addClass("ui-tabs-active ui-state-active"),o.length&&a.options.show?a._show(o,a.options.show,s):(o.show(),s())}var a=this,o=i.newPanel,r=i.oldPanel;this.running=!0,r.length&&this.options.hide?this._hide(r,this.options.hide,function(){i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),n()}):(i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),r.hide(),n()),r.attr("aria-hidden","true"),i.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),o.length&&r.length?i.oldTab.attr("tabIndex",-1):o.length&&this.tabs.filter(function(){return 0===e(this).attr("tabIndex")}).attr("tabIndex",-1),o.attr("aria-hidden","false"),i.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var i,s=this._findActive(t);s[0]!==this.active[0]&&(s.length||(s=this.active),i=s.find(".ui-tabs-anchor")[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return t===!1?e():this.tabs.eq(t)},_getIndex:function(e){return"string"==typeof e&&(e=this.anchors.index(this.anchors.filter("[href$='"+e+"']"))),e},_destroy:function(){this.xhr&&this.xhr.abort(),this.element.removeClass("ui-tabs ui-widget ui-widget-content ui-corner-all ui-tabs-collapsible"),this.tablist.removeClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").removeAttr("role"),this.anchors.removeClass("ui-tabs-anchor").removeAttr("role").removeAttr("tabIndex").removeUniqueId(),this.tablist.unbind(this.eventNamespace),this.tabs.add(this.panels).each(function(){e.data(this,"ui-tabs-destroy")?e(this).remove():e(this).removeClass("ui-state-default ui-state-active ui-state-disabled ui-corner-top ui-corner-bottom ui-widget-content ui-tabs-active ui-tabs-panel").removeAttr("tabIndex").removeAttr("aria-live").removeAttr("aria-busy").removeAttr("aria-selected").removeAttr("aria-labelledby").removeAttr("aria-hidden").removeAttr("aria-expanded").removeAttr("role")}),this.tabs.each(function(){var t=e(this),i=t.data("ui-tabs-aria-controls");i?t.attr("aria-controls",i).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(t){var i=this.options.disabled;i!==!1&&(void 0===t?i=!1:(t=this._getIndex(t),i=e.isArray(i)?e.map(i,function(e){return e!==t?e:null}):e.map(this.tabs,function(e,i){return i!==t?i:null})),this._setupDisabled(i))},disable:function(t){var i=this.options.disabled;if(i!==!0){if(void 0===t)i=!0;else{if(t=this._getIndex(t),-1!==e.inArray(t,i))return;i=e.isArray(i)?e.merge([t],i).sort():[t]}this._setupDisabled(i)}},load:function(t,i){t=this._getIndex(t);var s=this,n=this.tabs.eq(t),a=n.find(".ui-tabs-anchor"),o=this._getPanelForTab(n),r={tab:n,panel:o},h=function(e,t){"abort"===t&&s.panels.stop(!1,!0),n.removeClass("ui-tabs-loading"),o.removeAttr("aria-busy"),e===s.xhr&&delete s.xhr};this._isLocal(a[0])||(this.xhr=e.ajax(this._ajaxSettings(a,i,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(n.addClass("ui-tabs-loading"),o.attr("aria-busy","true"),this.xhr.done(function(e,t,n){setTimeout(function(){o.html(e),s._trigger("load",i,r),h(n,t)},1)}).fail(function(e,t){setTimeout(function(){h(e,t)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href"),beforeSend:function(t,a){return n._trigger("beforeLoad",i,e.extend({jqXHR:t,ajaxSettings:a},s))}}},_getPanelForTab:function(t){var i=e(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+i))}}),e.widget("ui.tooltip",{version:"1.11.4",options:{content:function(){var t=e(this).attr("title")||"";return e("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,tooltipClass:null,track:!1,close:null,open:null},_addDescribedBy:function(t,i){var s=(t.attr("aria-describedby")||"").split(/\s+/);s.push(i),t.data("ui-tooltip-id",i).attr("aria-describedby",e.trim(s.join(" ")))},_removeDescribedBy:function(t){var i=t.data("ui-tooltip-id"),s=(t.attr("aria-describedby")||"").split(/\s+/),n=e.inArray(i,s);-1!==n&&s.splice(n,1),t.removeData("ui-tooltip-id"),s=e.trim(s.join(" ")),s?t.attr("aria-describedby",s):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.options.disabled&&this._disable(),this.liveRegion=e("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body)},_setOption:function(t,i){var s=this;return"disabled"===t?(this[i?"_disable":"_enable"](),this.options[t]=i,void 0):(this._super(t,i),"content"===t&&e.each(this.tooltips,function(e,t){s._updateContent(t.element)}),void 0)},_disable:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur");n.target=n.currentTarget=s.element[0],t.close(n,!0)}),this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.is("[title]")&&t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")})},_enable:function(){this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))})},open:function(t){var i=this,s=e(t?t.target:this.element).closest(this.options.items);s.length&&!s.data("ui-tooltip-id")&&(s.attr("title")&&s.data("ui-tooltip-title",s.attr("title")),s.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&s.parents().each(function(){var t,s=e(this);s.data("ui-tooltip-open")&&(t=e.Event("blur"),t.target=t.currentTarget=this,i.close(t,!0)),s.attr("title")&&(s.uniqueId(),i.parents[this.id]={element:this,title:s.attr("title")},s.attr("title",""))}),this._registerCloseHandlers(t,s),this._updateContent(s,t))},_updateContent:function(e,t){var i,s=this.options.content,n=this,a=t?t.type:null;return"string"==typeof s?this._open(t,e,s):(i=s.call(e[0],function(i){n._delay(function(){e.data("ui-tooltip-open")&&(t&&(t.type=a),this._open(t,e,i))})}),i&&this._open(t,e,i),void 0)},_open:function(t,i,s){function n(e){l.of=e,o.is(":hidden")||o.position(l)}var a,o,r,h,l=e.extend({},this.options.position);if(s){if(a=this._find(i))return a.tooltip.find(".ui-tooltip-content").html(s),void 0;i.is("[title]")&&(t&&"mouseover"===t.type?i.attr("title",""):i.removeAttr("title")),a=this._tooltip(i),o=a.tooltip,this._addDescribedBy(i,o.attr("id")),o.find(".ui-tooltip-content").html(s),this.liveRegion.children().hide(),s.clone?(h=s.clone(),h.removeAttr("id").find("[id]").removeAttr("id")):h=s,e("<div>").html(h).appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:n}),n(t)):o.position(e.extend({of:i},this.options.position)),o.hide(),this._show(o,this.options.show),this.options.show&&this.options.show.delay&&(r=this.delayedShow=setInterval(function(){o.is(":visible")&&(n(l.of),clearInterval(r))},e.fx.interval)),this._trigger("open",t,{tooltip:o})}},_registerCloseHandlers:function(t,i){var s={keyup:function(t){if(t.keyCode===e.ui.keyCode.ESCAPE){var s=e.Event(t);s.currentTarget=i[0],this.close(s,!0)}}};i[0]!==this.element[0]&&(s.remove=function(){this._removeTooltip(this._find(i).tooltip)}),t&&"mouseover"!==t.type||(s.mouseleave="close"),t&&"focusin"!==t.type||(s.focusout="close"),this._on(!0,i,s)},close:function(t){var i,s=this,n=e(t?t.currentTarget:this.element),a=this._find(n);return a?(i=a.tooltip,a.closing||(clearInterval(this.delayedShow),n.data("ui-tooltip-title")&&!n.attr("title")&&n.attr("title",n.data("ui-tooltip-title")),this._removeDescribedBy(n),a.hiding=!0,i.stop(!0),this._hide(i,this.options.hide,function(){s._removeTooltip(e(this))}),n.removeData("ui-tooltip-open"),this._off(n,"mouseleave focusout keyup"),n[0]!==this.element[0]&&this._off(n,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&e.each(this.parents,function(t,i){e(i.element).attr("title",i.title),delete s.parents[t]}),a.closing=!0,this._trigger("close",t,{tooltip:i}),a.hiding||(a.closing=!1)),void 0):(n.removeData("ui-tooltip-open"),void 0)},_tooltip:function(t){var i=e("<div>").attr("role","tooltip").addClass("ui-tooltip ui-widget ui-corner-all ui-widget-content "+(this.options.tooltipClass||"")),s=i.uniqueId().attr("id");return e("<div>").addClass("ui-tooltip-content").appendTo(i),i.appendTo(this.document[0].body),this.tooltips[s]={element:t,tooltip:i}},_find:function(e){var t=e.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(e){e.remove(),delete this.tooltips[e.attr("id")]},_destroy:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur"),a=s.element;n.target=n.currentTarget=a[0],t.close(n,!0),e("#"+i).remove(),a.data("ui-tooltip-title")&&(a.attr("title")||a.attr("title",a.data("ui-tooltip-title")),a.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}});var c="ui-effects-",p=e;e.effects={effect:{}},function(e,t){function i(e,t,i){var s=d[t.type]||{};return null==e?i||!t.def?null:t.def:(e=s.floor?~~e:parseFloat(e),isNaN(e)?t.def:s.mod?(e+s.mod)%s.mod:0>e?0:e>s.max?s.max:e)}function s(i){var s=l(),n=s._rgba=[];return i=i.toLowerCase(),f(h,function(e,a){var o,r=a.re.exec(i),h=r&&a.parse(r),l=a.space||"rgba";return h?(o=s[l](h),s[u[l].cache]=o[u[l].cache],n=s._rgba=o._rgba,!1):t}),n.length?("0,0,0,0"===n.join()&&e.extend(n,a.transparent),s):a[i]}function n(e,t,i){return i=(i+1)%1,1>6*i?e+6*(t-e)*i:1>2*i?t:2>3*i?e+6*(t-e)*(2/3-i):e}var a,o="backgroundColor borderBottomColor borderLeftColor borderRightColor borderTopColor color columnRuleColor outlineColor textDecorationColor textEmphasisColor",r=/^([\-+])=\s*(\d+\.?\d*)/,h=[{re:/rgba?\(\s*(\d{1,3})\s*,\s*(\d{1,3})\s*,\s*(\d{1,3})\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[e[1],e[2],e[3],e[4]]}},{re:/rgba?\(\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[2.55*e[1],2.55*e[2],2.55*e[3],e[4]]}},{re:/#([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})/,parse:function(e){return[parseInt(e[1],16),parseInt(e[2],16),parseInt(e[3],16)]}},{re:/#([a-f0-9])([a-f0-9])([a-f0-9])/,parse:function(e){return[parseInt(e[1]+e[1],16),parseInt(e[2]+e[2],16),parseInt(e[3]+e[3],16)]}},{re:/hsla?\(\s*(\d+(?:\.\d+)?)\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,space:"hsla",parse:function(e){return[e[1],e[2]/100,e[3]/100,e[4]]}}],l=e.Color=function(t,i,s,n){return new e.Color.fn.parse(t,i,s,n)},u={rgba:{props:{red:{idx:0,type:"byte"},green:{idx:1,type:"byte"},blue:{idx:2,type:"byte"}}},hsla:{props:{hue:{idx:0,type:"degrees"},saturation:{idx:1,type:"percent"},lightness:{idx:2,type:"percent"}}}},d={"byte":{floor:!0,max:255},percent:{max:1},degrees:{mod:360,floor:!0}},c=l.support={},p=e("<p>")[0],f=e.each;p.style.cssText="background-color:rgba(1,1,1,.5)",c.rgba=p.style.backgroundColor.indexOf("rgba")>-1,f(u,function(e,t){t.cache="_"+e,t.props.alpha={idx:3,type:"percent",def:1}}),l.fn=e.extend(l.prototype,{parse:function(n,o,r,h){if(n===t)return this._rgba=[null,null,null,null],this;(n.jquery||n.nodeType)&&(n=e(n).css(o),o=t);var d=this,c=e.type(n),p=this._rgba=[];return o!==t&&(n=[n,o,r,h],c="array"),"string"===c?this.parse(s(n)||a._default):"array"===c?(f(u.rgba.props,function(e,t){p[t.idx]=i(n[t.idx],t)}),this):"object"===c?(n instanceof l?f(u,function(e,t){n[t.cache]&&(d[t.cache]=n[t.cache].slice())}):f(u,function(t,s){var a=s.cache;f(s.props,function(e,t){if(!d[a]&&s.to){if("alpha"===e||null==n[e])return;d[a]=s.to(d._rgba)}d[a][t.idx]=i(n[e],t,!0)}),d[a]&&0>e.inArray(null,d[a].slice(0,3))&&(d[a][3]=1,s.from&&(d._rgba=s.from(d[a])))}),this):t},is:function(e){var i=l(e),s=!0,n=this;return f(u,function(e,a){var o,r=i[a.cache];return r&&(o=n[a.cache]||a.to&&a.to(n._rgba)||[],f(a.props,function(e,i){return null!=r[i.idx]?s=r[i.idx]===o[i.idx]:t})),s}),s},_space:function(){var e=[],t=this;return f(u,function(i,s){t[s.cache]&&e.push(i)}),e.pop()},transition:function(e,t){var s=l(e),n=s._space(),a=u[n],o=0===this.alpha()?l("transparent"):this,r=o[a.cache]||a.to(o._rgba),h=r.slice();return s=s[a.cache],f(a.props,function(e,n){var a=n.idx,o=r[a],l=s[a],u=d[n.type]||{};null!==l&&(null===o?h[a]=l:(u.mod&&(l-o>u.mod/2?o+=u.mod:o-l>u.mod/2&&(o-=u.mod)),h[a]=i((l-o)*t+o,n)))}),this[n](h)},blend:function(t){if(1===this._rgba[3])return this;var i=this._rgba.slice(),s=i.pop(),n=l(t)._rgba;return l(e.map(i,function(e,t){return(1-s)*n[t]+s*e}))},toRgbaString:function(){var t="rgba(",i=e.map(this._rgba,function(e,t){return null==e?t>2?1:0:e});return 1===i[3]&&(i.pop(),t="rgb("),t+i.join()+")"},toHslaString:function(){var t="hsla(",i=e.map(this.hsla(),function(e,t){return null==e&&(e=t>2?1:0),t&&3>t&&(e=Math.round(100*e)+"%"),e});return 1===i[3]&&(i.pop(),t="hsl("),t+i.join()+")"},toHexString:function(t){var i=this._rgba.slice(),s=i.pop();return t&&i.push(~~(255*s)),"#"+e.map(i,function(e){return e=(e||0).toString(16),1===e.length?"0"+e:e}).join("")},toString:function(){return 0===this._rgba[3]?"transparent":this.toRgbaString()}}),l.fn.parse.prototype=l.fn,u.hsla.to=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t,i,s=e[0]/255,n=e[1]/255,a=e[2]/255,o=e[3],r=Math.max(s,n,a),h=Math.min(s,n,a),l=r-h,u=r+h,d=.5*u;return t=h===r?0:s===r?60*(n-a)/l+360:n===r?60*(a-s)/l+120:60*(s-n)/l+240,i=0===l?0:.5>=d?l/u:l/(2-u),[Math.round(t)%360,i,d,null==o?1:o]},u.hsla.from=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t=e[0]/360,i=e[1],s=e[2],a=e[3],o=.5>=s?s*(1+i):s+i-s*i,r=2*s-o;return[Math.round(255*n(r,o,t+1/3)),Math.round(255*n(r,o,t)),Math.round(255*n(r,o,t-1/3)),a]},f(u,function(s,n){var a=n.props,o=n.cache,h=n.to,u=n.from;l.fn[s]=function(s){if(h&&!this[o]&&(this[o]=h(this._rgba)),s===t)return this[o].slice();var n,r=e.type(s),d="array"===r||"object"===r?s:arguments,c=this[o].slice();return f(a,function(e,t){var s=d["object"===r?e:t.idx];null==s&&(s=c[t.idx]),c[t.idx]=i(s,t)}),u?(n=l(u(c)),n[o]=c,n):l(c)},f(a,function(t,i){l.fn[t]||(l.fn[t]=function(n){var a,o=e.type(n),h="alpha"===t?this._hsla?"hsla":"rgba":s,l=this[h](),u=l[i.idx];return"undefined"===o?u:("function"===o&&(n=n.call(this,u),o=e.type(n)),null==n&&i.empty?this:("string"===o&&(a=r.exec(n),a&&(n=u+parseFloat(a[2])*("+"===a[1]?1:-1))),l[i.idx]=n,this[h](l)))})})}),l.hook=function(t){var i=t.split(" ");f(i,function(t,i){e.cssHooks[i]={set:function(t,n){var a,o,r="";if("transparent"!==n&&("string"!==e.type(n)||(a=s(n)))){if(n=l(a||n),!c.rgba&&1!==n._rgba[3]){for(o="backgroundColor"===i?t.parentNode:t;(""===r||"transparent"===r)&&o&&o.style;)try{r=e.css(o,"backgroundColor"),o=o.parentNode}catch(h){}n=n.blend(r&&"transparent"!==r?r:"_default")}n=n.toRgbaString()}try{t.style[i]=n}catch(h){}}},e.fx.step[i]=function(t){t.colorInit||(t.start=l(t.elem,i),t.end=l(t.end),t.colorInit=!0),e.cssHooks[i].set(t.elem,t.start.transition(t.end,t.pos))}})},l.hook(o),e.cssHooks.borderColor={expand:function(e){var t={};return f(["Top","Right","Bottom","Left"],function(i,s){t["border"+s+"Color"]=e}),t}},a=e.Color.names={aqua:"#00ffff",black:"#000000",blue:"#0000ff",fuchsia:"#ff00ff",gray:"#808080",green:"#008000",lime:"#00ff00",maroon:"#800000",navy:"#000080",olive:"#808000",purple:"#800080",red:"#ff0000",silver:"#c0c0c0",teal:"#008080",white:"#ffffff",yellow:"#ffff00",transparent:[null,null,null,0],_default:"#ffffff"}}(p),function(){function t(t){var i,s,n=t.ownerDocument.defaultView?t.ownerDocument.defaultView.getComputedStyle(t,null):t.currentStyle,a={};if(n&&n.length&&n[0]&&n[n[0]])for(s=n.length;s--;)i=n[s],"string"==typeof n[i]&&(a[e.camelCase(i)]=n[i]);else for(i in n)"string"==typeof n[i]&&(a[i]=n[i]);return a}function i(t,i){var s,a,o={};for(s in i)a=i[s],t[s]!==a&&(n[s]||(e.fx.step[s]||!isNaN(parseFloat(a)))&&(o[s]=a));return o}var s=["add","remove","toggle"],n={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1};e.each(["borderLeftStyle","borderRightStyle","borderBottomStyle","borderTopStyle"],function(t,i){e.fx.step[i]=function(e){("none"!==e.end&&!e.setAttr||1===e.pos&&!e.setAttr)&&(p.style(e.elem,i,e.end),e.setAttr=!0)}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e.effects.animateClass=function(n,a,o,r){var h=e.speed(a,o,r);return this.queue(function(){var a,o=e(this),r=o.attr("class")||"",l=h.children?o.find("*").addBack():o;l=l.map(function(){var i=e(this);return{el:i,start:t(this)}}),a=function(){e.each(s,function(e,t){n[t]&&o[t+"Class"](n[t])})},a(),l=l.map(function(){return this.end=t(this.el[0]),this.diff=i(this.start,this.end),this}),o.attr("class",r),l=l.map(function(){var t=this,i=e.Deferred(),s=e.extend({},h,{queue:!1,complete:function(){i.resolve(t)}});return this.el.animate(this.diff,s),i.promise()}),e.when.apply(e,l.get()).done(function(){a(),e.each(arguments,function(){var t=this.el;e.each(this.diff,function(e){t.css(e,"")})}),h.complete.call(o[0])})})},e.fn.extend({addClass:function(t){return function(i,s,n,a){return s?e.effects.animateClass.call(this,{add:i},s,n,a):t.apply(this,arguments)}}(e.fn.addClass),removeClass:function(t){return function(i,s,n,a){return arguments.length>1?e.effects.animateClass.call(this,{remove:i},s,n,a):t.apply(this,arguments)}}(e.fn.removeClass),toggleClass:function(t){return function(i,s,n,a,o){return"boolean"==typeof s||void 0===s?n?e.effects.animateClass.call(this,s?{add:i}:{remove:i},n,a,o):t.apply(this,arguments):e.effects.animateClass.call(this,{toggle:i},s,n,a)}}(e.fn.toggleClass),switchClass:function(t,i,s,n,a){return e.effects.animateClass.call(this,{add:i,remove:t},s,n,a)}})}(),function(){function t(t,i,s,n){return e.isPlainObject(t)&&(i=t,t=t.effect),t={effect:t},null==i&&(i={}),e.isFunction(i)&&(n=i,s=null,i={}),("number"==typeof i||e.fx.speeds[i])&&(n=s,s=i,i={}),e.isFunction(s)&&(n=s,s=null),i&&e.extend(t,i),s=s||i.duration,t.duration=e.fx.off?0:"number"==typeof s?s:s in e.fx.speeds?e.fx.speeds[s]:e.fx.speeds._default,t.complete=n||i.complete,t}function i(t){return!t||"number"==typeof t||e.fx.speeds[t]?!0:"string"!=typeof t||e.effects.effect[t]?e.isFunction(t)?!0:"object"!=typeof t||t.effect?!1:!0:!0}e.extend(e.effects,{version:"1.11.4",save:function(e,t){for(var i=0;t.length>i;i++)null!==t[i]&&e.data(c+t[i],e[0].style[t[i]])},restore:function(e,t){var i,s;for(s=0;t.length>s;s++)null!==t[s]&&(i=e.data(c+t[s]),void 0===i&&(i=""),e.css(t[s],i))},setMode:function(e,t){return"toggle"===t&&(t=e.is(":hidden")?"show":"hide"),t},getBaseline:function(e,t){var i,s;switch(e[0]){case"top":i=0;break;case"middle":i=.5;break;case"bottom":i=1;break;default:i=e[0]/t.height}switch(e[1]){case"left":s=0;break;case"center":s=.5;break;case"right":s=1;break;default:s=e[1]/t.width}return{x:s,y:i}},createWrapper:function(t){if(t.parent().is(".ui-effects-wrapper"))return t.parent();var i={width:t.outerWidth(!0),height:t.outerHeight(!0),"float":t.css("float")},s=e("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),n={width:t.width(),height:t.height()},a=document.activeElement;try{a.id}catch(o){a=document.body}return t.wrap(s),(t[0]===a||e.contains(t[0],a))&&e(a).focus(),s=t.parent(),"static"===t.css("position")?(s.css({position:"relative"}),t.css({position:"relative"})):(e.extend(i,{position:t.css("position"),zIndex:t.css("z-index")}),e.each(["top","left","bottom","right"],function(e,s){i[s]=t.css(s),isNaN(parseInt(i[s],10))&&(i[s]="auto")}),t.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"})),t.css(n),s.css(i).show()},removeWrapper:function(t){var i=document.activeElement;return t.parent().is(".ui-effects-wrapper")&&(t.parent().replaceWith(t),(t[0]===i||e.contains(t[0],i))&&e(i).focus()),t},setTransition:function(t,i,s,n){return n=n||{},e.each(i,function(e,i){var a=t.cssUnit(i);a[0]>0&&(n[i]=a[0]*s+a[1])}),n}}),e.fn.extend({effect:function(){function i(t){function i(){e.isFunction(a)&&a.call(n[0]),e.isFunction(t)&&t()}var n=e(this),a=s.complete,r=s.mode;(n.is(":hidden")?"hide"===r:"show"===r)?(n[r](),i()):o.call(n[0],s,i)}var s=t.apply(this,arguments),n=s.mode,a=s.queue,o=e.effects.effect[s.effect];return e.fx.off||!o?n?this[n](s.duration,s.complete):this.each(function(){s.complete&&s.complete.call(this)}):a===!1?this.each(i):this.queue(a||"fx",i)},show:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="show",this.effect.call(this,n)}}(e.fn.show),hide:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="hide",this.effect.call(this,n)}}(e.fn.hide),toggle:function(e){return function(s){if(i(s)||"boolean"==typeof s)return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="toggle",this.effect.call(this,n)}}(e.fn.toggle),cssUnit:function(t){var i=this.css(t),s=[];return e.each(["em","px","%","pt"],function(e,t){i.indexOf(t)>0&&(s=[parseFloat(i),t])}),s}})}(),function(){var t={};e.each(["Quad","Cubic","Quart","Quint","Expo"],function(e,i){t[i]=function(t){return Math.pow(t,e+2)}}),e.extend(t,{Sine:function(e){return 1-Math.cos(e*Math.PI/2)},Circ:function(e){return 1-Math.sqrt(1-e*e)},Elastic:function(e){return 0===e||1===e?e:-Math.pow(2,8*(e-1))*Math.sin((80*(e-1)-7.5)*Math.PI/15)},Back:function(e){return e*e*(3*e-2)},Bounce:function(e){for(var t,i=4;((t=Math.pow(2,--i))-1)/11>e;);return 1/Math.pow(4,3-i)-7.5625*Math.pow((3*t-2)/22-e,2)}}),e.each(t,function(t,i){e.easing["easeIn"+t]=i,e.easing["easeOut"+t]=function(e){return 1-i(1-e)},e.easing["easeInOut"+t]=function(e){return.5>e?i(2*e)/2:1-i(-2*e+2)/2}})}(),e.effects,e.effects.effect.blind=function(t,i){var s,n,a,o=e(this),r=/up|down|vertical/,h=/up|left|vertical|horizontal/,l=["position","top","bottom","left","right","height","width"],u=e.effects.setMode(o,t.mode||"hide"),d=t.direction||"up",c=r.test(d),p=c?"height":"width",f=c?"top":"left",m=h.test(d),g={},v="show"===u;o.parent().is(".ui-effects-wrapper")?e.effects.save(o.parent(),l):e.effects.save(o,l),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n=s[p](),a=parseFloat(s.css(f))||0,g[p]=v?n:0,m||(o.css(c?"bottom":"right",0).css(c?"top":"left","auto").css({position:"absolute"}),g[f]=v?a:n+a),v&&(s.css(p,0),m||s.css(f,a+n)),s.animate(g,{duration:t.duration,easing:t.easing,queue:!1,complete:function(){"hide"===u&&o.hide(),e.effects.restore(o,l),e.effects.removeWrapper(o),i()
+}})},e.effects.effect.bounce=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"effect"),l="hide"===h,u="show"===h,d=t.direction||"up",c=t.distance,p=t.times||5,f=2*p+(u||l?1:0),m=t.duration/f,g=t.easing,v="up"===d||"down"===d?"top":"left",y="up"===d||"left"===d,b=o.queue(),_=b.length;for((u||l)&&r.push("opacity"),e.effects.save(o,r),o.show(),e.effects.createWrapper(o),c||(c=o["top"===v?"outerHeight":"outerWidth"]()/3),u&&(a={opacity:1},a[v]=0,o.css("opacity",0).css(v,y?2*-c:2*c).animate(a,m,g)),l&&(c/=Math.pow(2,p-1)),a={},a[v]=0,s=0;p>s;s++)n={},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g).animate(a,m,g),c=l?2*c:c/2;l&&(n={opacity:0},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g)),o.queue(function(){l&&o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}),_>1&&b.splice.apply(b,[1,0].concat(b.splice(_,f+1))),o.dequeue()},e.effects.effect.clip=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"hide"),l="show"===h,u=t.direction||"vertical",d="vertical"===u,c=d?"height":"width",p=d?"top":"left",f={};e.effects.save(o,r),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n="IMG"===o[0].tagName?s:o,a=n[c](),l&&(n.css(c,0),n.css(p,a/2)),f[c]=l?a:0,f[p]=l?0:a/2,n.animate(f,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){l||o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}})},e.effects.effect.drop=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","opacity","height","width"],o=e.effects.setMode(n,t.mode||"hide"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h?"pos":"neg",d={opacity:r?1:0};e.effects.save(n,a),n.show(),e.effects.createWrapper(n),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0)/2,r&&n.css("opacity",0).css(l,"pos"===u?-s:s),d[l]=(r?"pos"===u?"+=":"-=":"pos"===u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.explode=function(t,i){function s(){b.push(this),b.length===d*c&&n()}function n(){p.css({visibility:"visible"}),e(b).remove(),m||p.hide(),i()}var a,o,r,h,l,u,d=t.pieces?Math.round(Math.sqrt(t.pieces)):3,c=d,p=e(this),f=e.effects.setMode(p,t.mode||"hide"),m="show"===f,g=p.show().css("visibility","hidden").offset(),v=Math.ceil(p.outerWidth()/c),y=Math.ceil(p.outerHeight()/d),b=[];for(a=0;d>a;a++)for(h=g.top+a*y,u=a-(d-1)/2,o=0;c>o;o++)r=g.left+o*v,l=o-(c-1)/2,p.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-o*v,top:-a*y}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:v,height:y,left:r+(m?l*v:0),top:h+(m?u*y:0),opacity:m?0:1}).animate({left:r+(m?0:l*v),top:h+(m?0:u*y),opacity:m?1:0},t.duration||500,t.easing,s)},e.effects.effect.fade=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"toggle");s.animate({opacity:n},{queue:!1,duration:t.duration,easing:t.easing,complete:i})},e.effects.effect.fold=function(t,i){var s,n,a=e(this),o=["position","top","bottom","left","right","height","width"],r=e.effects.setMode(a,t.mode||"hide"),h="show"===r,l="hide"===r,u=t.size||15,d=/([0-9]+)%/.exec(u),c=!!t.horizFirst,p=h!==c,f=p?["width","height"]:["height","width"],m=t.duration/2,g={},v={};e.effects.save(a,o),a.show(),s=e.effects.createWrapper(a).css({overflow:"hidden"}),n=p?[s.width(),s.height()]:[s.height(),s.width()],d&&(u=parseInt(d[1],10)/100*n[l?0:1]),h&&s.css(c?{height:0,width:u}:{height:u,width:0}),g[f[0]]=h?n[0]:u,v[f[1]]=h?n[1]:0,s.animate(g,m,t.easing).animate(v,m,t.easing,function(){l&&a.hide(),e.effects.restore(a,o),e.effects.removeWrapper(a),i()})},e.effects.effect.highlight=function(t,i){var s=e(this),n=["backgroundImage","backgroundColor","opacity"],a=e.effects.setMode(s,t.mode||"show"),o={backgroundColor:s.css("backgroundColor")};"hide"===a&&(o.opacity=0),e.effects.save(s,n),s.show().css({backgroundImage:"none",backgroundColor:t.color||"#ffff99"}).animate(o,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===a&&s.hide(),e.effects.restore(s,n),i()}})},e.effects.effect.size=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","width","height","overflow","opacity"],h=["position","top","bottom","left","right","overflow","opacity"],l=["width","height","overflow"],u=["fontSize"],d=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],c=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],p=e.effects.setMode(o,t.mode||"effect"),f=t.restore||"effect"!==p,m=t.scale||"both",g=t.origin||["middle","center"],v=o.css("position"),y=f?r:h,b={height:0,width:0,outerHeight:0,outerWidth:0};"show"===p&&o.show(),s={height:o.height(),width:o.width(),outerHeight:o.outerHeight(),outerWidth:o.outerWidth()},"toggle"===t.mode&&"show"===p?(o.from=t.to||b,o.to=t.from||s):(o.from=t.from||("show"===p?b:s),o.to=t.to||("hide"===p?b:s)),a={from:{y:o.from.height/s.height,x:o.from.width/s.width},to:{y:o.to.height/s.height,x:o.to.width/s.width}},("box"===m||"both"===m)&&(a.from.y!==a.to.y&&(y=y.concat(d),o.from=e.effects.setTransition(o,d,a.from.y,o.from),o.to=e.effects.setTransition(o,d,a.to.y,o.to)),a.from.x!==a.to.x&&(y=y.concat(c),o.from=e.effects.setTransition(o,c,a.from.x,o.from),o.to=e.effects.setTransition(o,c,a.to.x,o.to))),("content"===m||"both"===m)&&a.from.y!==a.to.y&&(y=y.concat(u).concat(l),o.from=e.effects.setTransition(o,u,a.from.y,o.from),o.to=e.effects.setTransition(o,u,a.to.y,o.to)),e.effects.save(o,y),o.show(),e.effects.createWrapper(o),o.css("overflow","hidden").css(o.from),g&&(n=e.effects.getBaseline(g,s),o.from.top=(s.outerHeight-o.outerHeight())*n.y,o.from.left=(s.outerWidth-o.outerWidth())*n.x,o.to.top=(s.outerHeight-o.to.outerHeight)*n.y,o.to.left=(s.outerWidth-o.to.outerWidth)*n.x),o.css(o.from),("content"===m||"both"===m)&&(d=d.concat(["marginTop","marginBottom"]).concat(u),c=c.concat(["marginLeft","marginRight"]),l=r.concat(d).concat(c),o.find("*[width]").each(function(){var i=e(this),s={height:i.height(),width:i.width(),outerHeight:i.outerHeight(),outerWidth:i.outerWidth()};f&&e.effects.save(i,l),i.from={height:s.height*a.from.y,width:s.width*a.from.x,outerHeight:s.outerHeight*a.from.y,outerWidth:s.outerWidth*a.from.x},i.to={height:s.height*a.to.y,width:s.width*a.to.x,outerHeight:s.height*a.to.y,outerWidth:s.width*a.to.x},a.from.y!==a.to.y&&(i.from=e.effects.setTransition(i,d,a.from.y,i.from),i.to=e.effects.setTransition(i,d,a.to.y,i.to)),a.from.x!==a.to.x&&(i.from=e.effects.setTransition(i,c,a.from.x,i.from),i.to=e.effects.setTransition(i,c,a.to.x,i.to)),i.css(i.from),i.animate(i.to,t.duration,t.easing,function(){f&&e.effects.restore(i,l)})})),o.animate(o.to,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){0===o.to.opacity&&o.css("opacity",o.from.opacity),"hide"===p&&o.hide(),e.effects.restore(o,y),f||("static"===v?o.css({position:"relative",top:o.to.top,left:o.to.left}):e.each(["top","left"],function(e,t){o.css(t,function(t,i){var s=parseInt(i,10),n=e?o.to.left:o.to.top;return"auto"===i?n+"px":s+n+"px"})})),e.effects.removeWrapper(o),i()}})},e.effects.effect.scale=function(t,i){var s=e(this),n=e.extend(!0,{},t),a=e.effects.setMode(s,t.mode||"effect"),o=parseInt(t.percent,10)||(0===parseInt(t.percent,10)?0:"hide"===a?0:100),r=t.direction||"both",h=t.origin,l={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()},u={y:"horizontal"!==r?o/100:1,x:"vertical"!==r?o/100:1};n.effect="size",n.queue=!1,n.complete=i,"effect"!==a&&(n.origin=h||["middle","center"],n.restore=!0),n.from=t.from||("show"===a?{height:0,width:0,outerHeight:0,outerWidth:0}:l),n.to={height:l.height*u.y,width:l.width*u.x,outerHeight:l.outerHeight*u.y,outerWidth:l.outerWidth*u.x},n.fade&&("show"===a&&(n.from.opacity=0,n.to.opacity=1),"hide"===a&&(n.from.opacity=1,n.to.opacity=0)),s.effect(n)},e.effects.effect.puff=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"hide"),a="hide"===n,o=parseInt(t.percent,10)||150,r=o/100,h={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()};e.extend(t,{effect:"scale",queue:!1,fade:!0,mode:n,complete:i,percent:a?o:100,from:a?h:{height:h.height*r,width:h.width*r,outerHeight:h.outerHeight*r,outerWidth:h.outerWidth*r}}),s.effect(t)},e.effects.effect.pulsate=function(t,i){var s,n=e(this),a=e.effects.setMode(n,t.mode||"show"),o="show"===a,r="hide"===a,h=o||"hide"===a,l=2*(t.times||5)+(h?1:0),u=t.duration/l,d=0,c=n.queue(),p=c.length;for((o||!n.is(":visible"))&&(n.css("opacity",0).show(),d=1),s=1;l>s;s++)n.animate({opacity:d},u,t.easing),d=1-d;n.animate({opacity:d},u,t.easing),n.queue(function(){r&&n.hide(),i()}),p>1&&c.splice.apply(c,[1,0].concat(c.splice(p,l+1))),n.dequeue()},e.effects.effect.shake=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","height","width"],o=e.effects.setMode(n,t.mode||"effect"),r=t.direction||"left",h=t.distance||20,l=t.times||3,u=2*l+1,d=Math.round(t.duration/u),c="up"===r||"down"===r?"top":"left",p="up"===r||"left"===r,f={},m={},g={},v=n.queue(),y=v.length;for(e.effects.save(n,a),n.show(),e.effects.createWrapper(n),f[c]=(p?"-=":"+=")+h,m[c]=(p?"+=":"-=")+2*h,g[c]=(p?"-=":"+=")+2*h,n.animate(f,d,t.easing),s=1;l>s;s++)n.animate(m,d,t.easing).animate(g,d,t.easing);n.animate(m,d,t.easing).animate(f,d/2,t.easing).queue(function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}),y>1&&v.splice.apply(v,[1,0].concat(v.splice(y,u+1))),n.dequeue()},e.effects.effect.slide=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","width","height"],o=e.effects.setMode(n,t.mode||"show"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h,d={};e.effects.save(n,a),n.show(),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0),e.effects.createWrapper(n).css({overflow:"hidden"}),r&&n.css(l,u?isNaN(s)?"-"+s:-s:s),d[l]=(r?u?"+=":"-=":u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.transfer=function(t,i){var s=e(this),n=e(t.to),a="fixed"===n.css("position"),o=e("body"),r=a?o.scrollTop():0,h=a?o.scrollLeft():0,l=n.offset(),u={top:l.top-r,left:l.left-h,height:n.innerHeight(),width:n.innerWidth()},d=s.offset(),c=e("<div class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
 <style type="text/css">
 
 .tocify {
@@ -1296,8 +1305,6 @@
   // select all R code blocks
   var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
   rCodeBlocks.each(function() {
-    // skip if the block has fold-none class
-    if ($(this).hasClass('fold-none')) return;
 
     // create a collapsable div to wrap the code in
     var div = $('<div class="collapse r-code-collapse"></div>');
@@ -1308,14 +1315,12 @@
     $(this).detach().appendTo(div);
 
     // add a show code button right above
-    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Show') + '</span>');
+    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
     var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
     showCodeButton.append(showCodeText);
     showCodeButton
         .attr('data-toggle', 'collapse')
-        .attr('data-bs-toggle', 'collapse') // BS5
         .attr('data-target', '#' + id)
-        .attr('data-bs-target', '#' + id)   // BS5
         .attr('aria-expanded', showThis)
         .attr('aria-controls', id);
 
@@ -1334,7 +1339,7 @@
     //   * Change text
     //   * add a class for intermediate states styling
     div.on('hide.bs.collapse', function () {
-      showCodeText.text('Show');
+      showCodeText.text('Code');
       showCodeButton.addClass('btn-collapsing');
     });
     div.on('hidden.bs.collapse', function () {
@@ -1593,7 +1598,6 @@
 
 
 
-
 <style type="text/css">
 
 div.csl-bib-body { }
@@ -1641,9 +1645,6 @@
 summary {
 display: list-item;
 }
-details > summary > p:only-child {
-display: inline;
-}
 pre code {
 padding: 0;
 }
@@ -1662,18 +1663,24 @@
 border: 1px solid #ddd;
 border-radius: 4px;
 }
-.tabset-dropdown > .nav-tabs > li.active:before, .tabset-dropdown > .nav-tabs.nav-tabs-open:before {
-content: "\e259";
+.tabset-dropdown > .nav-tabs > li.active:before {
+content: "";
 font-family: 'Glyphicons Halflings';
 display: inline-block;
 padding: 10px;
 border-right: 1px solid #ddd;
 }
 .tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
-content: "\e258";
-font-family: 'Glyphicons Halflings';
+content: "";
 border: none;
 }
+.tabset-dropdown > .nav-tabs.nav-tabs-open:before {
+content: "";
+font-family: 'Glyphicons Halflings';
+display: inline-block;
+padding: 10px;
+border-right: 1px solid #ddd;
+}
 .tabset-dropdown > .nav-tabs > li.active {
 display: block;
 }
@@ -1776,7 +1783,7 @@
 <div id="header">
 
 <div class="btn-group pull-right float-right">
-<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm dropdown-toggle" data-toggle="dropdown" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button>
+<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm dropdown-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button>
 <ul class="dropdown-menu dropdown-menu-right" style="min-width: 50px;">
 <li><a id="rmd-show-all-code" href="#">Show All Code</a></li>
 <li><a id="rmd-hide-all-code" href="#">Hide All Code</a></li>
@@ -1790,7 +1797,7 @@ <h1 class="title toc-ignore">Ocean Health Index 2023: Methods</h1>
 </div>
 
 
-<p>Compiled on Fri Sep 15 10:19:37 2023.</p>
+<p>Compiled on Mon Oct 2 15:30:30 2023.</p>
 <div id="introduction-to-the-global-ocean-health-index-ohi-assessment" class="section level1" number="1">
 <h1><span class="header-section-number">1</span> Introduction to the
 global Ocean Health Index (OHI) assessment</h1>
@@ -15745,20 +15752,14 @@ <h4><span class="header-section-number">6.10.0.1</span> Current
 T_{r} = { A }\times { S }, (Eq. 6.21)
 \]</span></p>
 <p>where, <span class="math inline">\(A\)</span> is the proportion of
-total international arrivals to coastal area (combined inland (1 km) and
-offshore (3 nm) area) to total population, and <span class="math inline">\(S\)</span> is sustainability.</p>
+international overnight visitor arrivals to total international
+arrivals, and <span class="math inline">\(S\)</span> is
+sustainability.</p>
 <p>Ideally there would be data available specifically for arrivals,
 <span class="math inline">\(A\)</span>, related to coastal tourism;
 however, the best data available at a global scale reports the total
 international arrivals, which does not solely reflect coastal tourism
-<span class="citation">(UNWTO 2022)</span>. Because we do not know how
-arrivals patterns vary geographically for each region, we attempt to
-help this value reflect coastal tourism by dividing by coastal area
-(representing capacity/space for coastal tourism) <span class="citation">(Lewis <em>et al.</em> 2017)</span>. We further divide
-by total population as a proxy for ability to help tourists (ideally
-this would also be solely coastal, but again global datasets for this
-were not available) <span class="citation">(World Bank 2022; Our World
-in Data 2023; Statista 2023b,c,a)</span>.</p>
+<span class="citation">(UNWTO 2022)</span>.</p>
 <p>Unfortunately it was not possible to determine the proportion of
 international arrivals affiliated with strictly leisure tourism.
 However, some (unknown) proportion of business travelers also enjoy the
@@ -16135,7 +16136,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Murray <em>et al.</em> (2019)</span>
 </td>
 <td style="text-align:left;">
-new data layer
+none
 </td>
 </tr>
 <tr>
@@ -16153,7 +16154,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Bunting <em>et al.</em> (2022)</span>
 </td>
 <td style="text-align:left;">
-updated data: <a href="https://data.unep-wcmc.org/datasets/45" class="uri">https://data.unep-wcmc.org/datasets/45</a>
+none
 </td>
 </tr>
 <tr>
@@ -16208,7 +16209,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Murray <em>et al.</em> (2019)</span>
 </td>
 <td style="text-align:left;">
-new data layer
+none
 </td>
 </tr>
 <tr>
@@ -16226,7 +16227,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Murray <em>et al.</em> (2019)</span>
 </td>
 <td style="text-align:left;">
-new data layer
+none
 </td>
 </tr>
 <tr>
@@ -16245,8 +16246,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">United Nations (2007)</span>
 </td>
 <td style="text-align:left;">
-updated data: <a href="https://data.unep-wcmc.org/datasets/45" class="uri">https://data.unep-wcmc.org/datasets/45</a>; now calculated
-using 2020 extents as current
+none
 </td>
 </tr>
 <tr>
@@ -16264,7 +16264,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Bunting <em>et al.</em> (2022)</span>
 </td>
 <td style="text-align:left;">
-updated data: <a href="https://data.unep-wcmc.org/datasets/45" class="uri">https://data.unep-wcmc.org/datasets/45</a>
+none
 </td>
 </tr>
 <tr>
@@ -16301,7 +16301,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Campbell <em>et al.</em> (2022)</span>
 </td>
 <td style="text-align:left;">
-updated global trend value: <a href="https://doi.org/10.1038/s41586-022-05355-z" class="uri">https://doi.org/10.1038/s41586-022-05355-z</a>
+updated trend value: <a href="https://doi.org/10.1038/s41586-022-05355-z" class="uri">https://doi.org/10.1038/s41586-022-05355-z</a>
 </td>
 </tr>
 <tr>
@@ -16381,7 +16381,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Halpern <em>et al.</em> (2008)</span>; <span class="citation">Halpern <em>et al.</em> (2015a)</span>; <span class="citation">Homer <em>et al.</em> (2004)</span>; <span class="citation">United Nations (2022b)</span>; <span class="citation">United Nations (2021)</span>; <span class="citation">Tuholske <em>et al.</em> (2021)</span>; <span class="citation">Halpern <em>et al.</em> (2022)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+none
 </td>
 </tr>
 <tr>
@@ -16457,7 +16457,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Halpern <em>et al.</em> (2008)</span>; <span class="citation">Halpern <em>et al.</em> (2015b)</span>; <span class="citation">United Nations (2022b)</span>; <span class="citation">United Nations (2021)</span>; <span class="citation">Tuholske <em>et al.</em> (2021)</span>; <span class="citation">Halpern <em>et al.</em> (2022)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+none
 </td>
 </tr>
 <tr>
@@ -16600,7 +16600,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Froehlich (2018)</span>; <span class="citation">Pauly <em>et al.</em> (2020)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2019)
+none
 </td>
 </tr>
 <tr>
@@ -16639,7 +16639,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 portal’</span> (2022)</span>
 </td>
 <td style="text-align:left;">
-new data source
+none
 </td>
 </tr>
 <tr>
@@ -16659,7 +16659,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 portal’</span> (2022)</span>
 </td>
 <td style="text-align:left;">
-new data source
+none
 </td>
 </tr>
 <tr>
@@ -16894,7 +16894,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">UN-FAO (2023)</span>; <span class="citation">Burke <em>et al.</em> (2011)</span>; <span class="citation">Halpern <em>et al.</em> (2008)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+additional year of data (2021)
 </td>
 </tr>
 <tr>
@@ -16915,7 +16915,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 Legacy Stock Assessment Database (2023)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+additional year of BBmsy values
 </td>
 </tr>
 <tr>
@@ -16956,7 +16956,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">UN-FAO (2023)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+additional year of data (2021)
 </td>
 </tr>
 <tr>
@@ -16980,7 +16980,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">UN-FAO (2023)</span>; <span class="citation">Burke <em>et al.</em> (2011)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+additional year of data (2021)
 </td>
 </tr>
 <tr>
@@ -17039,7 +17039,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">IUCN (2022a)</span>
 </td>
 <td style="text-align:left;">
-updated iucn redlist classifications with 2022-1 assessment
+none
 </td>
 </tr>
 <tr>
@@ -17060,7 +17060,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">IUCN (2022a)</span>
 </td>
 <td style="text-align:left;">
-updated iucn redlist classifications with 2022-1 assessment
+none
 </td>
 </tr>
 <tr>
@@ -17354,7 +17354,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 portal’</span> (2022)</span>
 </td>
 <td style="text-align:left;">
-new data source
+none
 </td>
 </tr>
 <tr>
@@ -17393,7 +17393,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Halpern <em>et al.</em> (2008)</span>; <span class="citation">Halpern <em>et al.</em> (2015b)</span>; <span class="citation">United Nations (2022b)</span>; <span class="citation">United Nations (2021)</span>; <span class="citation">Tuholske <em>et al.</em> (2021)</span>; <span class="citation">Halpern <em>et al.</em> (2022)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2020)
+none
 </td>
 </tr>
 <tr>
@@ -17451,7 +17451,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Social Progress Index (2021)</span>; <span class="citation">Stern <em>et al.</em> (2021)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2022)
+none
 </td>
 </tr>
 <tr>
@@ -17459,17 +17459,17 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 Weakness of governance
 </td>
 <td style="text-align:left;">
-Inverse of World Governance Indicators (WGI) six combined scores (<a href="http://ohi-science.org/ohiprep_v2023/globalprep/prs_res_wgi/v2022/WGI_dataprep.html">data
+Inverse of World Governance Indicators (WGI) six combined scores (<a href="http://ohi-science.org/ohiprep_v2023/globalprep/prs_res_wgi/v2023/WGI_dataprep.html">data
 prep</a>)
 </td>
 <td style="text-align:left;">
 pressure
 </td>
 <td style="text-align:left;">
-<span class="citation">Kaufmann <em>et al.</em> (2010)</span>; <span class="citation">WorldBank (2021)</span>
+<span class="citation">Kaufmann <em>et al.</em> (2010)</span>; <span class="citation">WorldBank (2023)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2021)
+additional year of data (2022)
 </td>
 </tr>
 <tr>
@@ -17739,7 +17739,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">Social Progress Index (2021)</span>; <span class="citation">Stern <em>et al.</em> (2021)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2022)
+none
 </td>
 </tr>
 <tr>
@@ -17761,7 +17761,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">IUCN (2022a)</span>
 </td>
 <td style="text-align:left;">
-updated iucn redlist classifications with 2022-1 assessment
+none
 </td>
 </tr>
 <tr>
@@ -17782,7 +17782,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 <span class="citation">IUCN (2022a)</span>
 </td>
 <td style="text-align:left;">
-updated iucn redlist classifications with 2022-1 assessment
+none
 </td>
 </tr>
 <tr>
@@ -17790,17 +17790,17 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 Strength of governance
 </td>
 <td style="text-align:left;">
-World Governance Indicators (WGI) six combined scores (<a href="http://ohi-science.org/ohiprep_v2023/globalprep/prs_res_wgi/v2022/WGI_dataprep.html">data
+World Governance Indicators (WGI) six combined scores (<a href="http://ohi-science.org/ohiprep_v2023/globalprep/prs_res_wgi/v2023/WGI_dataprep.html">data
 prep</a>)
 </td>
 <td style="text-align:left;">
 resilience
 </td>
 <td style="text-align:left;">
-<span class="citation">Kaufmann <em>et al.</em> (2010)</span>; <span class="citation">WorldBank (2021)</span>
+<span class="citation">Kaufmann <em>et al.</em> (2010)</span>; <span class="citation">WorldBank (2023)</span>
 </td>
 <td style="text-align:left;">
-additional year of data (2021)
+additional year of data (2022)
 </td>
 </tr>
 <tr>
@@ -19455,7 +19455,7 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 </tr>
 <tr>
 <td style="text-align:left;">
-<span class="citation">WorldBank (2021)</span>
+<span class="citation">WorldBank (2023)</span>
 </td>
 <td style="text-align:left;">
 Accountability, Political Stability and Absence of Violence, Government
@@ -19903,23 +19903,6 @@ <h3><span class="header-section-number">7.0.1</span> Tables describing
 y, new datasource
 </td>
 </tr>
-<tr>
-<td style="text-align:left;">
-<span class="citation">Statista (2023a)</span>
-</td>
-<td style="text-align:left;">
-Total population, annual for Bonaire
-</td>
-<td style="text-align:left;">
-2011-2023
-</td>
-<td style="text-align:left;">
-National
-</td>
-<td style="text-align:left;">
-y, new datasource
-</td>
-</tr>
 </tbody>
 </table>
 </div>
@@ -22954,24 +22937,20 @@ <h4 class="unnumbered"><a href="https://github.com/OHI-Science/ohi-global/tree/d
 Organization (UNWTO)</a> <span class="citation">(2022)</span> includes
 total international arrivals data. This is provided in the form of
 thousands of people arriving, which we convert to total number of people
-arriving. We divide these arrivals by area of coastline for each country
-(from the <a href="https://github.com/OHI-Science/ohiprep_v2023/tree/gh-pages/globalprep/lsp/v2023">LSP
-goal</a>) and further by population for each country (primarily from <a href="https://data.worldbank.org/indicator/SP.POP.TOTL">World Bank</a>,
-secondarily from <a href="https://ourworldindata.org/grapher/population">Our World in
-Data</a>, and lastly from Statista (<a href="https://www.statista.com/statistics/706807/population-of-saba-in-the-caribbean-netherlands/">1</a>,
-<a href="https://www.statista.com/statistics/706806/population-of-sint-eustatius-in-the-caribbean-netherlands/">2</a>,
-and <a href="https://www.statista.com/statistics/706799/population-of-bonaire-in-the-caribbean-netherlands/">3</a>)),
-as an indicator of the number of tourists visiting the coast <span class="citation">(2017; 2022; 2023; 2023b,c,a)</span>.</p>
-<p>Missing values in arrivals (for our purposes, “Overnights visitors
-(tourists)”, or the number of non-resident inbound visitor trips
-including at least one overnight) are gapfilled using “Total arrivals”
-minus “Same-day visitors (excursionists)” (if available) or,
-secondarily, by upfilling or downfilling (prioritizing downfilling)
-years of data based on if the previous or later year has information.
-Missing values in the primarily-used population data source are
-gapfilled using the two other data sources, and one data source’s years
-are gapfilled by upfilling. We were not able to further gapfill with
-other methods at this time.</p>
+arriving. We divide these arrivals by the total arrivals in the
+country.</p>
+<p>To address missing values in arrivals, specifically referring to
+“Overnight visitors (tourists),” we employ a two-step process. First, we
+attempt to fill the gaps by subtracting “Same-day visitors
+(excursionists)” from “Total arrivals” if the latter is available. If
+this is not feasible, we resort to interpolating or extrapolating based
+on historical data spanning from 1995 to 2019, employing a linear model
+to estimate increases or decreases on a regional level.</p>
+<p>In light of the Covid-19 pandemic, we have adopted a distinct
+approach for the years 2020 and 2021. We calculate the global average
+proportionate change from the preceding year, apply this percentage
+change to the previous year’s arrivals or total values, and then add the
+result to the corresponding previous year’s arrivals or total value.</p>
 </div>
 <div id="units-86" class="section level4 unnumbered">
 <h4 class="unnumbered">Units</h4>
@@ -23317,7 +23296,7 @@ <h2><span class="header-section-number">7.99</span> Strength of
 <h4 class="unnumbered"><a href="https://github.com/OHI-Science/ohi-global/tree/draft/eez/layers/wgi_all.csv">wgi_all</a></h4>
 <p><em>Resilience</em></p>
 <p><em>Category: social</em></p>
-<p>The Worldwide Governance Indicator <span class="citation">(2021)</span> is composed of six dimensions of
+<p>The Worldwide Governance Indicator <span class="citation">(2023)</span> is composed of six dimensions of
 governance: voice and accountability, political stability and absence of
 violence, government effectiveness, regulatory quality, rule of law,
 control of corruption. These 6 aggregate indicators combine data from a
@@ -23479,7 +23458,7 @@ <h4 class="unnumbered"><a href="https://github.com/OHI-Science/ohi-global/tree/d
 <p>See <strong>Strength of governance</strong> for description of this
 layer.</p>
 <p>When used as a social pressure, 1 minus the Worldwide Governance
-Indicator <span class="citation">(2021)</span> is used.</p>
+Indicator <span class="citation">(2023)</span> is used.</p>
 </div>
 <div id="units-105" class="section level4 unnumbered">
 <h4 class="unnumbered">Units</h4>
@@ -24367,10 +24346,10 @@ <h1 class="unnumbered">References</h1>
 World Bank. (2014c). Unemployment, total (% of total labor force)
 (modeled <span>ILO</span> estimate). URL <a href="http://data.worldbank.org/indicator/SL.UEM.TOTL.ZS">http://data.worldbank.org/indicator/SL.UEM.TOTL.ZS</a>
 </div>
-<div id="ref-worldbank2022wgi" class="csl-entry">
-WorldBank. (2021). Worldwide governance indicators (<span>WGI</span>)
+<div id="ref-worldbank2023wgi" class="csl-entry">
+WorldBank. (2023). Worldwide governance indicators (<span>WGI</span>)
 <span></span> data catalog. URL <a href="https://datacatalog.worldbank.org/dataset/worldwide-governance-indicators">https://datacatalog.worldbank.org/dataset/worldwide-governance-indicators</a>
-[accessed 3 October 2022]
+[accessed 2 October 2023]
 </div>
 <div id="ref-wttc_econ_2022" class="csl-entry">
 WTTC. Travel &amp; tourism economic impact <span></span> world travel
diff --git a/content/images/htmls/Supplement_Results.html b/content/images/htmls/Supplement_Results.html
index d25a3d3b8..6821ed14f 100644
--- a/content/images/htmls/Supplement_Results.html
+++ b/content/images/htmls/Supplement_Results.html
@@ -26,8 +26,8 @@
   }
 });
 </script>
-<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
-!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
+<script>/*! jQuery v3.5.1 | (c) JS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.5.1",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),D=function(e,t){return e===t&&(l=!0),0},j={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e.namespaceURI,n=(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},D=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&j.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(D),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(D).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function D(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(D(this,e||[],!1))},not:function(e){return this.pushStack(D(this,e||[],!0))},is:function(e){return!!D(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var j,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||j,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,j=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^key/,we=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,Te=/^([^.]*)(?:\.(.+)|)/;function Ce(){return!0}function Ee(){return!1}function Se(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function ke(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)ke(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Ee;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Ae(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,Ce)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=Te.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Ae(t,"click",Ce),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Ae(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?Ce:Ee,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Ee,isPropagationStopped:Ee,isImmediatePropagationStopped:Ee,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=Ce,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=Ce,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=Ce,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:function(e){var t=e.button;return null==e.which&&be.test(e.type)?null!=e.charCode?e.charCode:e.keyCode:!e.which&&void 0!==t&&we.test(e.type)?1&t?1:2&t?3:4&t?2:0:e.which}},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Ae(this,e,Se),!1},trigger:function(){return Ae(this,e),!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return ke(this,e,t,n,r)},one:function(e,t,n,r){return ke(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Ee),this.each(function(){S.event.remove(this,e,n,t)})}});var Ne=/<script|<style|<link/i,De=/checked\s*(?:[^=]|=\s*.checked.)/i,je=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function qe(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function Le(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function He(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Oe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function Pe(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&De.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),Pe(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),Le)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,He),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(je,""),u,l))}return n}function Re(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Oe(o[r],a[r]);else Oe(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Re(this,e,!0)},remove:function(e){return Re(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return Pe(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||qe(this,e).appendChild(e)})},prepend:function(){return Pe(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=qe(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return Pe(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return Pe(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!Ne.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return Pe(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Me=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Ie=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},We=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Fe=new RegExp(ne.join("|"),"i");function Be(e,t,n){var r,i,o,a,s=e.style;return(n=n||Ie(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Me.test(a)&&Fe.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function $e(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px",t.style.height="1px",n.style.height="9px",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=3<parseInt(r.height),re.removeChild(e)),a}}))}();var _e=["Webkit","Moz","ms"],ze=E.createElement("div").style,Ue={};function Xe(e){var t=S.cssProps[e]||Ue[e];return t||(e in ze?e:Ue[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=_e.length;while(n--)if((e=_e[n]+t)in ze)return e}(e)||e)}var Ve=/^(none|table(?!-c[ea]).+)/,Ge=/^--/,Ye={position:"absolute",visibility:"hidden",display:"block"},Qe={letterSpacing:"0",fontWeight:"400"};function Je(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Ke(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Ze(e,t,n){var r=Ie(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=Be(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Me.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Ke(e,t,n||(i?"border":"content"),o,r,a)+"px"}function et(e,t,n,r,i){return new et.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=Be(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Ge.test(t),l=e.style;if(u||(t=Xe(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Ge.test(t)||(t=Xe(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Be(e,t,r)),"normal"===i&&t in Qe&&(i=Qe[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ve.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Ze(e,u,n):We(e,Ye,function(){return Ze(e,u,n)})},set:function(e,t,n){var r,i=Ie(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Ke(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Ke(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Je(0,t,s)}}}),S.cssHooks.marginLeft=$e(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(Be(e,"marginLeft"))||e.getBoundingClientRect().left-We(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Je)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Ie(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=et).prototype={constructor:et,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=et.propHooks[this.prop];return e&&e.get?e.get(this):et.propHooks._default.get(this)},run:function(e){var t,n=et.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):et.propHooks._default.set(this),this}}).init.prototype=et.prototype,(et.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[Xe(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=et.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=et.prototype.init,S.fx.step={};var tt,nt,rt,it,ot=/^(?:toggle|show|hide)$/,at=/queueHooks$/;function st(){nt&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(st):C.setTimeout(st,S.fx.interval),S.fx.tick())}function ut(){return C.setTimeout(function(){tt=void 0}),tt=Date.now()}function lt(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ct(e,t,n){for(var r,i=(ft.tweeners[t]||[]).concat(ft.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function ft(o,e,t){var n,a,r=0,i=ft.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=tt||ut(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:tt||ut(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=ft.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ct,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(ft,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],ft.tweeners[n]=ft.tweeners[n]||[],ft.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],ot.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ct(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?ft.prefilters.unshift(e):ft.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=ft(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&at.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(lt(r,!0),e,t,n)}}),S.each({slideDown:lt("show"),slideUp:lt("hide"),slideToggle:lt("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(tt=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),tt=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){nt||(nt=!0,st())},S.fx.stop=function(){nt=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},rt=E.createElement("input"),it=E.createElement("select").appendChild(E.createElement("option")),rt.type="checkbox",y.checkOn=""!==rt.value,y.optSelected=it.selected,(rt=E.createElement("input")).value="t",rt.type="radio",y.radioValue="t"===rt.value;var pt,dt=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?pt:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),pt={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=dt[t]||S.find.attr;dt[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=dt[o],dt[o]=r,r=null!=a(e,t,n)?o:null,dt[o]=i),r}});var ht=/^(?:input|select|textarea|button)$/i,gt=/^(?:a|area)$/i;function vt(e){return(e.match(P)||[]).join(" ")}function yt(e){return e.getAttribute&&e.getAttribute("class")||""}function mt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):ht.test(e.nodeName)||gt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,yt(this)))});if((e=mt(t)).length)while(n=this[u++])if(i=yt(n),r=1===n.nodeType&&" "+vt(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=vt(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,yt(this)))});if(!arguments.length)return this.attr("class","");if((e=mt(t)).length)while(n=this[u++])if(i=yt(n),r=1===n.nodeType&&" "+vt(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=vt(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,yt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=mt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=yt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+vt(yt(n))+" ").indexOf(t))return!0;return!1}});var xt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(xt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:vt(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var bt=/^(?:focusinfocus|focusoutblur)$/,wt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!bt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,bt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,wt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,wt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var Tt=C.location,Ct={guid:Date.now()},Et=/\?/;S.parseXML=function(e){var t;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){t=void 0}return t&&!t.getElementsByTagName("parsererror").length||S.error("Invalid XML: "+e),t};var St=/\[\]$/,kt=/\r?\n/g,At=/^(?:submit|button|image|reset|file)$/i,Nt=/^(?:input|select|textarea|keygen)/i;function Dt(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||St.test(n)?i(n,t):Dt(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)Dt(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)Dt(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&Nt.test(this.nodeName)&&!At.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(kt,"\r\n")}}):{name:t.name,value:n.replace(kt,"\r\n")}}).get()}});var jt=/%20/g,qt=/#.*$/,Lt=/([?&])_=[^&]*/,Ht=/^(.*?):[ \t]*([^\r\n]*)$/gm,Ot=/^(?:GET|HEAD)$/,Pt=/^\/\//,Rt={},Mt={},It="*/".concat("*"),Wt=E.createElement("a");function Ft(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Bt(t,i,o,a){var s={},u=t===Mt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function $t(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Wt.href=Tt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:Tt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(Tt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":It,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?$t($t(e,S.ajaxSettings),t):$t(S.ajaxSettings,e)},ajaxPrefilter:Ft(Rt),ajaxTransport:Ft(Mt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=Ht.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||Tt.href)+"").replace(Pt,Tt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Wt.protocol+"//"+Wt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Bt(Rt,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Ot.test(v.type),f=v.url.replace(qt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(jt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Et.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Lt,"$1"),o=(Et.test(f)?"&":"?")+"_="+Ct.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+It+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Bt(Mt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var _t={0:200,1223:204},zt=S.ajaxSettings.xhr();y.cors=!!zt&&"withCredentials"in zt,y.ajax=zt=!!zt,S.ajaxTransport(function(i){var o,a;if(y.cors||zt&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(_t[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var Ut,Xt=[],Vt=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=Xt.pop()||S.expando+"_"+Ct.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Vt.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Vt.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Vt,"$1"+r):!1!==e.jsonp&&(e.url+=(Et.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,Xt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((Ut=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===Ut.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=vt(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):("number"==typeof f.top&&(f.top+="px"),"number"==typeof f.left&&(f.left+="px"),c.css(f))}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=$e(y.pixelPosition,function(e,t){if(t)return t=Be(e,n),Me.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Gt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Gt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Yt=C.jQuery,Qt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Qt),e&&C.jQuery===S&&(C.jQuery=Yt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
 </script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <style type="text/css">html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:bold}dfn{font-style:italic}h1{font-size:2em;margin:0.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace, monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type="checkbox"],input[type="radio"]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type="number"]::-webkit-inner-spin-button,input[type="number"]::-webkit-outer-spin-button{height:auto}input[type="search"]{-webkit-appearance:textfield;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}input[type="search"]::-webkit-search-cancel-button,input[type="search"]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:0.35em 0.625em 0.75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:bold}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}@media print{*,*:before,*:after{background:transparent !important;color:#000 !important;-webkit-box-shadow:none !important;box-shadow:none !important;text-shadow:none !important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="#"]:after,a[href^="javascript:"]:after{content:""}pre,blockquote{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}tr,img{page-break-inside:avoid}img{max-width:100% !important}p,h2,h3{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000 !important}.label{border:1px solid #000}.table{border-collapse:collapse !important}.table td,.table th{background-color:#fff !important}.table-bordered th,.table-bordered td{border:1px solid #ddd !important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:font/woff;base64,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) format('woff'),url(data:font/ttf;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:normal;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\002a"}.glyphicon-plus:before{content:"\002b"}.glyphicon-euro:before,.glyphicon-eur:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}*:before,*:after{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#555555;background-color:#ffffff}input,button,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#2fa4e7;text-decoration:none}a:hover,a:focus{color:#157ab5;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.img-responsive,.thumbnail>img,.thumbnail a>img,.carousel-inner>.item>img,.carousel-inner>.item>a>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{padding:4px;line-height:1.42857143;background-color:#ffffff;border:1px solid #dddddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out;display:inline-block;max-width:100%;height:auto}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eeeeee}.sr-only{position:absolute;width:1px;height:1px;margin:-1px;padding:0;overflow:hidden;clip:rect(0, 0, 0, 0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role="button"]{cursor:pointer}h1,h2,h3,h4,h5,h6,.h1,.h2,.h3,.h4,.h5,.h6{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-weight:500;line-height:1.2;color:#317eac}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small,.h1 small,.h2 small,.h3 small,.h4 small,.h5 small,.h6 small,h1 .small,h2 .small,h3 .small,h4 .small,h5 .small,h6 .small,.h1 .small,.h2 .small,.h3 .small,.h4 .small,.h5 .small,.h6 .small{font-weight:normal;line-height:1;color:#999999}h1,.h1,h2,.h2,h3,.h3{margin-top:20px;margin-bottom:10px}h1 small,.h1 small,h2 small,.h2 small,h3 small,.h3 small,h1 .small,.h1 .small,h2 .small,.h2 .small,h3 .small,.h3 .small{font-size:65%}h4,.h4,h5,.h5,h6,.h6{margin-top:10px;margin-bottom:10px}h4 small,.h4 small,h5 small,.h5 small,h6 small,.h6 small,h4 .small,.h4 .small,h5 .small,.h5 .small,h6 .small,.h6 .small{font-size:75%}h1,.h1{font-size:36px}h2,.h2{font-size:30px}h3,.h3{font-size:24px}h4,.h4{font-size:18px}h5,.h5{font-size:14px}h6,.h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}small,.small{font-size:85%}mark,.mark{background-color:#fcf8e3;padding:.2em}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#999999}.text-primary{color:#2fa4e7}a.text-primary:hover,a.text-primary:focus{color:#178acc}.text-success{color:#468847}a.text-success:hover,a.text-success:focus{color:#356635}.text-info{color:#3a87ad}a.text-info:hover,a.text-info:focus{color:#2d6987}.text-warning{color:#c09853}a.text-warning:hover,a.text-warning:focus{color:#a47e3c}.text-danger{color:#b94a48}a.text-danger:hover,a.text-danger:focus{color:#953b39}.bg-primary{color:#fff;background-color:#2fa4e7}a.bg-primary:hover,a.bg-primary:focus{background-color:#178acc}.bg-success{background-color:#dff0d8}a.bg-success:hover,a.bg-success:focus{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:hover,a.bg-info:focus{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:hover,a.bg-warning:focus{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:hover,a.bg-danger:focus{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eeeeee}ul,ol{margin-top:0;margin-bottom:10px}ul ul,ol ul,ul ol,ol ol{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none;margin-left:-5px}.list-inline>li{display:inline-block;padding-left:5px;padding-right:5px}dl{margin-top:0;margin-bottom:20px}dt,dd{line-height:1.42857143}dt{font-weight:bold}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;clear:left;text-align:right;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[title],abbr[data-original-title]{cursor:help;border-bottom:1px dotted #999999}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eeeeee}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}blockquote footer,blockquote small,blockquote .small{display:block;font-size:80%;line-height:1.42857143;color:#999999}blockquote footer:before,blockquote small:before,blockquote .small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;border-right:5px solid #eeeeee;border-left:0;text-align:right}.blockquote-reverse footer:before,blockquote.pull-right footer:before,.blockquote-reverse small:before,blockquote.pull-right small:before,.blockquote-reverse .small:before,blockquote.pull-right .small:before{content:''}.blockquote-reverse footer:after,blockquote.pull-right footer:after,.blockquote-reverse small:after,blockquote.pull-right small:after,.blockquote-reverse .small:after,blockquote.pull-right .small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#ffffff;background-color:#333333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.25)}kbd kbd{padding:0;font-size:100%;font-weight:bold;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;word-break:break-all;word-wrap:break-word;color:#333333;background-color:#f5f5f5;border:1px solid #cccccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{margin-right:auto;margin-left:auto;padding-left:15px;padding-right:15px}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{margin-right:auto;margin-left:auto;padding-left:15px;padding-right:15px}.row{margin-left:-15px;margin-right:-15px}.col-xs-1,.col-sm-1,.col-md-1,.col-lg-1,.col-xs-2,.col-sm-2,.col-md-2,.col-lg-2,.col-xs-3,.col-sm-3,.col-md-3,.col-lg-3,.col-xs-4,.col-sm-4,.col-md-4,.col-lg-4,.col-xs-5,.col-sm-5,.col-md-5,.col-lg-5,.col-xs-6,.col-sm-6,.col-md-6,.col-lg-6,.col-xs-7,.col-sm-7,.col-md-7,.col-lg-7,.col-xs-8,.col-sm-8,.col-md-8,.col-lg-8,.col-xs-9,.col-sm-9,.col-md-9,.col-lg-9,.col-xs-10,.col-sm-10,.col-md-10,.col-lg-10,.col-xs-11,.col-sm-11,.col-md-11,.col-lg-11,.col-xs-12,.col-sm-12,.col-md-12,.col-lg-12{position:relative;min-height:1px;padding-left:15px;padding-right:15px}.col-xs-1,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9,.col-xs-10,.col-xs-11,.col-xs-12{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0%}@media (min-width:768px){.col-sm-1,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-sm-10,.col-sm-11,.col-sm-12{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0%}}@media (min-width:992px){.col-md-1,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-md-10,.col-md-11,.col-md-12{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0%}}@media (min-width:1200px){.col-lg-1,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-lg-10,.col-lg-11,.col-lg-12{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0%}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#999999;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>thead>tr>th,.table>tbody>tr>th,.table>tfoot>tr>th,.table>thead>tr>td,.table>tbody>tr>td,.table>tfoot>tr>td{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #dddddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #dddddd}.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>th,.table>caption+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>td,.table>thead:first-child>tr:first-child>td{border-top:0}.table>tbody+tbody{border-top:2px solid #dddddd}.table .table{background-color:#ffffff}.table-condensed>thead>tr>th,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>tbody>tr>td,.table-condensed>tfoot>tr>td{padding:5px}.table-bordered{border:1px solid #dddddd}.table-bordered>thead>tr>th,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>tbody>tr>td,.table-bordered>tfoot>tr>td{border:1px solid #dddddd}.table-bordered>thead>tr>th,.table-bordered>thead>tr>td{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*="col-"]{position:static;float:none;display:table-column}table td[class*="col-"],table th[class*="col-"]{position:static;float:none;display:table-cell}.table>thead>tr>td.active,.table>tbody>tr>td.active,.table>tfoot>tr>td.active,.table>thead>tr>th.active,.table>tbody>tr>th.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>tbody>tr.active>td,.table>tfoot>tr.active>td,.table>thead>tr.active>th,.table>tbody>tr.active>th,.table>tfoot>tr.active>th{background-color:#f5f5f5}.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover,.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr.active:hover>th{background-color:#e8e8e8}.table>thead>tr>td.success,.table>tbody>tr>td.success,.table>tfoot>tr>td.success,.table>thead>tr>th.success,.table>tbody>tr>th.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>tbody>tr.success>td,.table>tfoot>tr.success>td,.table>thead>tr.success>th,.table>tbody>tr.success>th,.table>tfoot>tr.success>th{background-color:#dff0d8}.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover,.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr.success:hover>th{background-color:#d0e9c6}.table>thead>tr>td.info,.table>tbody>tr>td.info,.table>tfoot>tr>td.info,.table>thead>tr>th.info,.table>tbody>tr>th.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>tbody>tr.info>td,.table>tfoot>tr.info>td,.table>thead>tr.info>th,.table>tbody>tr.info>th,.table>tfoot>tr.info>th{background-color:#d9edf7}.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover,.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr.info:hover>th{background-color:#c4e3f3}.table>thead>tr>td.warning,.table>tbody>tr>td.warning,.table>tfoot>tr>td.warning,.table>thead>tr>th.warning,.table>tbody>tr>th.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>tbody>tr.warning>td,.table>tfoot>tr.warning>td,.table>thead>tr.warning>th,.table>tbody>tr.warning>th,.table>tfoot>tr.warning>th{background-color:#fcf8e3}.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover,.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr.warning:hover>th{background-color:#faf2cc}.table>thead>tr>td.danger,.table>tbody>tr>td.danger,.table>tfoot>tr>td.danger,.table>thead>tr>th.danger,.table>tbody>tr>th.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>tbody>tr.danger>td,.table>tfoot>tr.danger>td,.table>thead>tr.danger>th,.table>tbody>tr.danger>th,.table>tfoot>tr.danger>th{background-color:#f2dede}.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover,.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr.danger:hover>th{background-color:#ebcccc}.table-responsive{overflow-x:auto;min-height:0.01%}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #dddddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>thead>tr>th,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tfoot>tr>td{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>thead>tr>th:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child{border-left:0}.table-responsive>.table-bordered>thead>tr>th:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>th,.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>td{border-bottom:0}}fieldset{padding:0;margin:0;border:0;min-width:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#555555;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:bold}input[type="search"]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type="radio"],input[type="checkbox"]{margin:4px 0 0;margin-top:1px \9;line-height:normal}input[type="file"]{display:block}input[type="range"]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:9px;font-size:14px;line-height:1.42857143;color:#555555}.form-control{display:block;width:100%;height:38px;padding:8px 12px;font-size:14px;line-height:1.42857143;color:#555555;background-color:#ffffff;background-image:none;border:1px solid #cccccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(102,175,233,0.6);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(102,175,233,0.6)}.form-control::-moz-placeholder{color:#999999;opacity:1}.form-control:-ms-input-placeholder{color:#999999}.form-control::-webkit-input-placeholder{color:#999999}.form-control::-ms-expand{border:0;background-color:transparent}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eeeeee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type="search"]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type="date"].form-control,input[type="time"].form-control,input[type="datetime-local"].form-control,input[type="month"].form-control{line-height:38px}input[type="date"].input-sm,input[type="time"].input-sm,input[type="datetime-local"].input-sm,input[type="month"].input-sm,.input-group-sm input[type="date"],.input-group-sm input[type="time"],.input-group-sm input[type="datetime-local"],.input-group-sm input[type="month"]{line-height:30px}input[type="date"].input-lg,input[type="time"].input-lg,input[type="datetime-local"].input-lg,input[type="month"].input-lg,.input-group-lg input[type="date"],.input-group-lg input[type="time"],.input-group-lg input[type="datetime-local"],.input-group-lg input[type="month"]{line-height:54px}}.form-group{margin-bottom:15px}.radio,.checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.radio label,.checkbox label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:normal;cursor:pointer}.radio input[type="radio"],.radio-inline input[type="radio"],.checkbox input[type="checkbox"],.checkbox-inline input[type="checkbox"]{position:absolute;margin-left:-20px;margin-top:4px \9}.radio+.radio,.checkbox+.checkbox{margin-top:-5px}.radio-inline,.checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;vertical-align:middle;font-weight:normal;cursor:pointer}.radio-inline+.radio-inline,.checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"].disabled,input[type="checkbox"].disabled,fieldset[disabled] input[type="radio"],fieldset[disabled] input[type="checkbox"]{cursor:not-allowed}.radio-inline.disabled,.checkbox-inline.disabled,fieldset[disabled] .radio-inline,fieldset[disabled] .checkbox-inline{cursor:not-allowed}.radio.disabled label,.checkbox.disabled label,fieldset[disabled] .radio label,fieldset[disabled] .checkbox label{cursor:not-allowed}.form-control-static{padding-top:9px;padding-bottom:9px;margin-bottom:0;min-height:34px}.form-control-static.input-lg,.form-control-static.input-sm{padding-left:0;padding-right:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}textarea.input-sm,select[multiple].input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm textarea.form-control,.form-group-sm select[multiple].form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:54px;padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:54px;line-height:54px}textarea.input-lg,select[multiple].input-lg{height:auto}.form-group-lg .form-control{height:54px;padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:54px;line-height:54px}.form-group-lg textarea.form-control,.form-group-lg select[multiple].form-control{height:auto}.form-group-lg .form-control-static{height:54px;min-height:38px;padding:15px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:47.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:38px;height:38px;line-height:38px;text-align:center;pointer-events:none}.input-lg+.form-control-feedback,.input-group-lg+.form-control-feedback,.form-group-lg .form-control+.form-control-feedback{width:54px;height:54px;line-height:54px}.input-sm+.form-control-feedback,.input-group-sm+.form-control-feedback,.form-group-sm .form-control+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .help-block,.has-success .control-label,.has-success .radio,.has-success .checkbox,.has-success .radio-inline,.has-success .checkbox-inline,.has-success.radio label,.has-success.checkbox label,.has-success.radio-inline label,.has-success.checkbox-inline label{color:#468847}.has-success .form-control{border-color:#468847;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-success .form-control:focus{border-color:#356635;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #7aba7b}.has-success .input-group-addon{color:#468847;border-color:#468847;background-color:#dff0d8}.has-success .form-control-feedback{color:#468847}.has-warning .help-block,.has-warning .control-label,.has-warning .radio,.has-warning .checkbox,.has-warning .radio-inline,.has-warning .checkbox-inline,.has-warning.radio label,.has-warning.checkbox label,.has-warning.radio-inline label,.has-warning.checkbox-inline label{color:#c09853}.has-warning .form-control{border-color:#c09853;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-warning .form-control:focus{border-color:#a47e3c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #dbc59e}.has-warning .input-group-addon{color:#c09853;border-color:#c09853;background-color:#fcf8e3}.has-warning .form-control-feedback{color:#c09853}.has-error .help-block,.has-error .control-label,.has-error .radio,.has-error .checkbox,.has-error .radio-inline,.has-error .checkbox-inline,.has-error.radio label,.has-error.checkbox label,.has-error.radio-inline label,.has-error.checkbox-inline label{color:#b94a48}.has-error .form-control{border-color:#b94a48;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-error .form-control:focus{border-color:#953b39;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #d59392}.has-error .input-group-addon{color:#b94a48;border-color:#b94a48;background-color:#f2dede}.has-error .form-control-feedback{color:#b94a48}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#959595}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn,.form-inline .input-group .form-control{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .radio,.form-inline .checkbox{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .radio label,.form-inline .checkbox label{padding-left:0}.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .radio,.form-horizontal .checkbox,.form-horizontal .radio-inline,.form-horizontal .checkbox-inline{margin-top:0;margin-bottom:0;padding-top:9px}.form-horizontal .radio,.form-horizontal .checkbox{min-height:29px}.form-horizontal .form-group{margin-left:-15px;margin-right:-15px}@media (min-width:768px){.form-horizontal .control-label{text-align:right;margin-bottom:0;padding-top:9px}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:15px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;margin-bottom:0;font-weight:normal;text-align:center;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;background-image:none;border:1px solid transparent;white-space:nowrap;padding:8px 12px;font-size:14px;line-height:1.42857143;border-radius:4px;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.btn:focus,.btn:active:focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn.active.focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn:hover,.btn:focus,.btn.focus{color:#555555;text-decoration:none}.btn:active,.btn.active{outline:0;background-image:none;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,0.125);box-shadow:inset 0 3px 5px rgba(0,0,0,0.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;opacity:0.65;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#555555;background-color:#ffffff;border-color:rgba(0,0,0,0.1)}.btn-default:focus,.btn-default.focus{color:#555555;background-color:#e6e6e6;border-color:rgba(0,0,0,0.1)}.btn-default:hover{color:#555555;background-color:#e6e6e6;border-color:rgba(0,0,0,0.1)}.btn-default:active,.btn-default.active,.open>.dropdown-toggle.btn-default{color:#555555;background-color:#e6e6e6;border-color:rgba(0,0,0,0.1)}.btn-default:active:hover,.btn-default.active:hover,.open>.dropdown-toggle.btn-default:hover,.btn-default:active:focus,.btn-default.active:focus,.open>.dropdown-toggle.btn-default:focus,.btn-default:active.focus,.btn-default.active.focus,.open>.dropdown-toggle.btn-default.focus{color:#555555;background-color:#d4d4d4;border-color:rgba(0,0,0,0.1)}.btn-default:active,.btn-default.active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled:hover,.btn-default[disabled]:hover,fieldset[disabled] .btn-default:hover,.btn-default.disabled:focus,.btn-default[disabled]:focus,fieldset[disabled] .btn-default:focus,.btn-default.disabled.focus,.btn-default[disabled].focus,fieldset[disabled] .btn-default.focus{background-color:#ffffff;border-color:rgba(0,0,0,0.1)}.btn-default .badge{color:#ffffff;background-color:#555555}.btn-primary{color:#ffffff;background-color:#2fa4e7;border-color:#2fa4e7}.btn-primary:focus,.btn-primary.focus{color:#ffffff;background-color:#178acc;border-color:#105b87}.btn-primary:hover{color:#ffffff;background-color:#178acc;border-color:#1684c2}.btn-primary:active,.btn-primary.active,.open>.dropdown-toggle.btn-primary{color:#ffffff;background-color:#178acc;border-color:#1684c2}.btn-primary:active:hover,.btn-primary.active:hover,.open>.dropdown-toggle.btn-primary:hover,.btn-primary:active:focus,.btn-primary.active:focus,.open>.dropdown-toggle.btn-primary:focus,.btn-primary:active.focus,.btn-primary.active.focus,.open>.dropdown-toggle.btn-primary.focus{color:#ffffff;background-color:#1474ac;border-color:#105b87}.btn-primary:active,.btn-primary.active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled:hover,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary:hover,.btn-primary.disabled:focus,.btn-primary[disabled]:focus,fieldset[disabled] .btn-primary:focus,.btn-primary.disabled.focus,.btn-primary[disabled].focus,fieldset[disabled] .btn-primary.focus{background-color:#2fa4e7;border-color:#2fa4e7}.btn-primary .badge{color:#2fa4e7;background-color:#ffffff}.btn-success{color:#ffffff;background-color:#73a839;border-color:#73a839}.btn-success:focus,.btn-success.focus{color:#ffffff;background-color:#59822c;border-color:#324919}.btn-success:hover{color:#ffffff;background-color:#59822c;border-color:#547a29}.btn-success:active,.btn-success.active,.open>.dropdown-toggle.btn-success{color:#ffffff;background-color:#59822c;border-color:#547a29}.btn-success:active:hover,.btn-success.active:hover,.open>.dropdown-toggle.btn-success:hover,.btn-success:active:focus,.btn-success.active:focus,.open>.dropdown-toggle.btn-success:focus,.btn-success:active.focus,.btn-success.active.focus,.open>.dropdown-toggle.btn-success.focus{color:#ffffff;background-color:#476723;border-color:#324919}.btn-success:active,.btn-success.active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled:hover,.btn-success[disabled]:hover,fieldset[disabled] .btn-success:hover,.btn-success.disabled:focus,.btn-success[disabled]:focus,fieldset[disabled] .btn-success:focus,.btn-success.disabled.focus,.btn-success[disabled].focus,fieldset[disabled] .btn-success.focus{background-color:#73a839;border-color:#73a839}.btn-success .badge{color:#73a839;background-color:#ffffff}.btn-info{color:#ffffff;background-color:#033c73;border-color:#033c73}.btn-info:focus,.btn-info.focus{color:#ffffff;background-color:#022241;border-color:#000000}.btn-info:hover{color:#ffffff;background-color:#022241;border-color:#011d37}.btn-info:active,.btn-info.active,.open>.dropdown-toggle.btn-info{color:#ffffff;background-color:#022241;border-color:#011d37}.btn-info:active:hover,.btn-info.active:hover,.open>.dropdown-toggle.btn-info:hover,.btn-info:active:focus,.btn-info.active:focus,.open>.dropdown-toggle.btn-info:focus,.btn-info:active.focus,.btn-info.active.focus,.open>.dropdown-toggle.btn-info.focus{color:#ffffff;background-color:#01101f;border-color:#000000}.btn-info:active,.btn-info.active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled:hover,.btn-info[disabled]:hover,fieldset[disabled] .btn-info:hover,.btn-info.disabled:focus,.btn-info[disabled]:focus,fieldset[disabled] .btn-info:focus,.btn-info.disabled.focus,.btn-info[disabled].focus,fieldset[disabled] .btn-info.focus{background-color:#033c73;border-color:#033c73}.btn-info .badge{color:#033c73;background-color:#ffffff}.btn-warning{color:#ffffff;background-color:#dd5600;border-color:#dd5600}.btn-warning:focus,.btn-warning.focus{color:#ffffff;background-color:#aa4200;border-color:#5e2400}.btn-warning:hover{color:#ffffff;background-color:#aa4200;border-color:#a03e00}.btn-warning:active,.btn-warning.active,.open>.dropdown-toggle.btn-warning{color:#ffffff;background-color:#aa4200;border-color:#a03e00}.btn-warning:active:hover,.btn-warning.active:hover,.open>.dropdown-toggle.btn-warning:hover,.btn-warning:active:focus,.btn-warning.active:focus,.open>.dropdown-toggle.btn-warning:focus,.btn-warning:active.focus,.btn-warning.active.focus,.open>.dropdown-toggle.btn-warning.focus{color:#ffffff;background-color:#863400;border-color:#5e2400}.btn-warning:active,.btn-warning.active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled:hover,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning:hover,.btn-warning.disabled:focus,.btn-warning[disabled]:focus,fieldset[disabled] .btn-warning:focus,.btn-warning.disabled.focus,.btn-warning[disabled].focus,fieldset[disabled] .btn-warning.focus{background-color:#dd5600;border-color:#dd5600}.btn-warning .badge{color:#dd5600;background-color:#ffffff}.btn-danger{color:#ffffff;background-color:#c71c22;border-color:#c71c22}.btn-danger:focus,.btn-danger.focus{color:#ffffff;background-color:#9a161a;border-color:#570c0f}.btn-danger:hover{color:#ffffff;background-color:#9a161a;border-color:#911419}.btn-danger:active,.btn-danger.active,.open>.dropdown-toggle.btn-danger{color:#ffffff;background-color:#9a161a;border-color:#911419}.btn-danger:active:hover,.btn-danger.active:hover,.open>.dropdown-toggle.btn-danger:hover,.btn-danger:active:focus,.btn-danger.active:focus,.open>.dropdown-toggle.btn-danger:focus,.btn-danger:active.focus,.btn-danger.active.focus,.open>.dropdown-toggle.btn-danger.focus{color:#ffffff;background-color:#7b1115;border-color:#570c0f}.btn-danger:active,.btn-danger.active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled:hover,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger:hover,.btn-danger.disabled:focus,.btn-danger[disabled]:focus,fieldset[disabled] .btn-danger:focus,.btn-danger.disabled.focus,.btn-danger[disabled].focus,fieldset[disabled] .btn-danger.focus{background-color:#c71c22;border-color:#c71c22}.btn-danger .badge{color:#c71c22;background-color:#ffffff}.btn-link{color:#2fa4e7;font-weight:normal;border-radius:0}.btn-link,.btn-link:active,.btn-link.active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:hover,.btn-link:focus,.btn-link:active{border-color:transparent}.btn-link:hover,.btn-link:focus{color:#157ab5;text-decoration:underline;background-color:transparent}.btn-link[disabled]:hover,fieldset[disabled] .btn-link:hover,.btn-link[disabled]:focus,fieldset[disabled] .btn-link:focus{color:#999999;text-decoration:none}.btn-lg,.btn-group-lg>.btn{padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-sm,.btn-group-sm>.btn{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-xs,.btn-group-xs>.btn{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type="submit"].btn-block,input[type="reset"].btn-block,input[type="button"].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity 0.15s linear;-o-transition:opacity 0.15s linear;transition:opacity 0.15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-property:height, visibility;-o-transition-property:height, visibility;transition-property:height, visibility;-webkit-transition-duration:0.35s;-o-transition-duration:0.35s;transition-duration:0.35s;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid \9;border-right:4px solid transparent;border-left:4px solid transparent}.dropup,.dropdown{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;font-size:14px;text-align:left;background-color:#ffffff;border:1px solid #cccccc;border:1px solid rgba(0,0,0,0.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,0.175);box-shadow:0 6px 12px rgba(0,0,0,0.175);-webkit-background-clip:padding-box;background-clip:padding-box}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:1.42857143;color:#333333;white-space:nowrap}.dropdown-menu>li>a:hover,.dropdown-menu>li>a:focus{text-decoration:none;color:#ffffff;background-color:#2fa4e7}.dropdown-menu>.active>a,.dropdown-menu>.active>a:hover,.dropdown-menu>.active>a:focus{color:#ffffff;text-decoration:none;outline:0;background-color:#2fa4e7}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{color:#999999}.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{text-decoration:none;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false);cursor:not-allowed}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{left:auto;right:0}.dropdown-menu-left{left:0;right:auto}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#999999;white-space:nowrap}.dropdown-backdrop{position:fixed;left:0;right:0;bottom:0;top:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px dashed;border-bottom:4px solid \9;content:""}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{left:auto;right:0}.navbar-right .dropdown-menu-left{left:0;right:auto}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;float:left}.btn-group>.btn:hover,.btn-group-vertical>.btn:hover,.btn-group>.btn:focus,.btn-group-vertical>.btn:focus,.btn-group>.btn:active,.btn-group-vertical>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn.active{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-bottom-right-radius:0;border-top-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-bottom-left-radius:0;border-top-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-top-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-bottom-left-radius:0;border-top-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-left:8px;padding-right:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-left:12px;padding-right:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,0.125);box-shadow:inset 0 3px 5px rgba(0,0,0,0.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-top-left-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-right-radius:0;border-top-left-radius:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-right-radius:0;border-top-left-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{float:none;display:table-cell;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle="buttons"]>.btn input[type="radio"],[data-toggle="buttons"]>.btn-group>.btn input[type="radio"],[data-toggle="buttons"]>.btn input[type="checkbox"],[data-toggle="buttons"]>.btn-group>.btn input[type="checkbox"]{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*="col-"]{float:none;padding-left:0;padding-right:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group .form-control:focus{z-index:3}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:54px;padding:14px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:54px;line-height:54px}textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn,select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn,select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn{height:auto}.input-group-addon,.input-group-btn,.input-group .form-control{display:table-cell}.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child),.input-group .form-control:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:8px 12px;font-size:14px;font-weight:normal;line-height:1;color:#555555;text-align:center;background-color:#eeeeee;border:1px solid #cccccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:14px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type="radio"],.input-group-addon input[type="checkbox"]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle),.input-group-btn:last-child>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-top-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:first-child>.btn-group:not(:first-child)>.btn{border-bottom-left-radius:0;border-top-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:hover,.input-group-btn>.btn:focus,.input-group-btn>.btn:active{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{margin-bottom:0;padding-left:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:hover,.nav>li>a:focus{text-decoration:none;background-color:#eeeeee}.nav>li.disabled>a{color:#999999}.nav>li.disabled>a:hover,.nav>li.disabled>a:focus{color:#999999;text-decoration:none;background-color:transparent;cursor:not-allowed}.nav .open>a,.nav .open>a:hover,.nav .open>a:focus{background-color:#eeeeee;border-color:#2fa4e7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #dddddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eeeeee #eeeeee #dddddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:hover,.nav-tabs>li.active>a:focus{color:#555555;background-color:#ffffff;border:1px solid #dddddd;border-bottom-color:transparent;cursor:default}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{text-align:center;margin-bottom:5px}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border:1px solid #dddddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #dddddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border-bottom-color:#ffffff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:hover,.nav-pills>li.active>a:focus{color:#ffffff;background-color:#2fa4e7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{text-align:center;margin-bottom:5px}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:hover,.nav-tabs-justified>.active>a:focus{border:1px solid #dddddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #dddddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:hover,.nav-tabs-justified>.active>a:focus{border-bottom-color:#ffffff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-right-radius:0;border-top-left-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{overflow-x:visible;padding-right:15px;padding-left:15px;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1);-webkit-overflow-scrolling:touch}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block !important;height:auto !important;padding-bottom:0;overflow:visible !important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{padding-left:0;padding-right:0}}.navbar-fixed-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{max-height:200px}}.container>.navbar-header,.container-fluid>.navbar-header,.container>.navbar-collapse,.container-fluid>.navbar-collapse{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container>.navbar-header,.container-fluid>.navbar-header,.container>.navbar-collapse,.container-fluid>.navbar-collapse{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-top,.navbar-fixed-bottom{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;padding:15px 15px;font-size:18px;line-height:20px;height:50px}.navbar-brand:hover,.navbar-brand:focus{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;margin-right:15px;padding:9px 10px;margin-top:8px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu>li>a,.navbar-nav .open .dropdown-menu .dropdown-header{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:hover,.navbar-nav .open .dropdown-menu>li>a:focus{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{margin-left:-15px;margin-right:-15px;padding:10px 15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);margin-top:6px;margin-bottom:6px}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn,.navbar-form .input-group .form-control{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .radio,.navbar-form .checkbox{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .radio label,.navbar-form .checkbox label{padding-left:0}.navbar-form .radio input[type="radio"],.navbar-form .checkbox input[type="checkbox"]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;border:0;margin-left:0;margin-right:0;padding-top:0;padding-bottom:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-right-radius:0;border-top-left-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-right-radius:4px;border-top-left-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:6px;margin-bottom:6px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-left:15px;margin-right:15px}}@media (min-width:768px){.navbar-left{float:left !important}.navbar-right{float:right !important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#2fa4e7;border-color:#1995dc}.navbar-default .navbar-brand{color:#ffffff}.navbar-default .navbar-brand:hover,.navbar-default .navbar-brand:focus{color:#ffffff;background-color:none}.navbar-default .navbar-text{color:#dddddd}.navbar-default .navbar-nav>li>a{color:#ffffff}.navbar-default .navbar-nav>li>a:hover,.navbar-default .navbar-nav>li>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:hover,.navbar-default .navbar-nav>.active>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:hover,.navbar-default .navbar-nav>.disabled>a:focus{color:#dddddd;background-color:transparent}.navbar-default .navbar-toggle{border-color:#178acc}.navbar-default .navbar-toggle:hover,.navbar-default .navbar-toggle:focus{background-color:#178acc}.navbar-default .navbar-toggle .icon-bar{background-color:#ffffff}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#1995dc}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:hover,.navbar-default .navbar-nav>.open>a:focus{background-color:#178acc;color:#ffffff}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#ffffff}.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus{color:#ffffff;background-color:#178acc}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus{color:#dddddd;background-color:transparent}}.navbar-default .navbar-link{color:#ffffff}.navbar-default .navbar-link:hover{color:#ffffff}.navbar-default .btn-link{color:#ffffff}.navbar-default .btn-link:hover,.navbar-default .btn-link:focus{color:#ffffff}.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:hover,.navbar-default .btn-link[disabled]:focus,fieldset[disabled] .navbar-default .btn-link:focus{color:#dddddd}.navbar-inverse{background-color:#033c73;border-color:#022f5a}.navbar-inverse .navbar-brand{color:#ffffff}.navbar-inverse .navbar-brand:hover,.navbar-inverse .navbar-brand:focus{color:#ffffff;background-color:none}.navbar-inverse .navbar-text{color:#ffffff}.navbar-inverse .navbar-nav>li>a{color:#ffffff}.navbar-inverse .navbar-nav>li>a:hover,.navbar-inverse .navbar-nav>li>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:hover,.navbar-inverse .navbar-nav>.active>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:hover,.navbar-inverse .navbar-nav>.disabled>a:focus{color:#cccccc;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#022f5a}.navbar-inverse .navbar-toggle:hover,.navbar-inverse .navbar-toggle:focus{background-color:#022f5a}.navbar-inverse .navbar-toggle .icon-bar{background-color:#ffffff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#022a50}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:hover,.navbar-inverse .navbar-nav>.open>a:focus{background-color:#022f5a;color:#ffffff}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#ffffff}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus{color:#ffffff;background-color:#022f5a}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus{color:#cccccc;background-color:transparent}}.navbar-inverse .navbar-link{color:#ffffff}.navbar-inverse .navbar-link:hover{color:#ffffff}.navbar-inverse .btn-link{color:#ffffff}.navbar-inverse .btn-link:hover,.navbar-inverse .btn-link:focus{color:#ffffff}.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:hover,.navbar-inverse .btn-link[disabled]:focus,fieldset[disabled] .navbar-inverse .btn-link:focus{color:#cccccc}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{content:"/\00a0";padding:0 5px;color:#cccccc}.breadcrumb>.active{color:#999999}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:8px 12px;line-height:1.42857143;text-decoration:none;color:#2fa4e7;background-color:#ffffff;border:1px solid #dddddd;margin-left:-1px}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-bottom-left-radius:4px;border-top-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-bottom-right-radius:4px;border-top-right-radius:4px}.pagination>li>a:hover,.pagination>li>span:hover,.pagination>li>a:focus,.pagination>li>span:focus{z-index:2;color:#157ab5;background-color:#eeeeee;border-color:#dddddd}.pagination>.active>a,.pagination>.active>span,.pagination>.active>a:hover,.pagination>.active>span:hover,.pagination>.active>a:focus,.pagination>.active>span:focus{z-index:3;color:#999999;background-color:#f5f5f5;border-color:#dddddd;cursor:default}.pagination>.disabled>span,.pagination>.disabled>span:hover,.pagination>.disabled>span:focus,.pagination>.disabled>a,.pagination>.disabled>a:hover,.pagination>.disabled>a:focus{color:#999999;background-color:#ffffff;border-color:#dddddd;cursor:not-allowed}.pagination-lg>li>a,.pagination-lg>li>span{padding:14px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-bottom-left-radius:6px;border-top-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-bottom-right-radius:6px;border-top-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-bottom-left-radius:3px;border-top-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-bottom-right-radius:3px;border-top-right-radius:3px}.pager{padding-left:0;margin:20px 0;list-style:none;text-align:center}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#ffffff;border:1px solid #dddddd;border-radius:15px}.pager li>a:hover,.pager li>a:focus{text-decoration:none;background-color:#eeeeee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:hover,.pager .disabled>a:focus,.pager .disabled>span{color:#999999;background-color:#ffffff;cursor:not-allowed}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:bold;line-height:1;color:#ffffff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:hover,a.label:focus{color:#ffffff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#999999}.label-default[href]:hover,.label-default[href]:focus{background-color:#808080}.label-primary{background-color:#2fa4e7}.label-primary[href]:hover,.label-primary[href]:focus{background-color:#178acc}.label-success{background-color:#73a839}.label-success[href]:hover,.label-success[href]:focus{background-color:#59822c}.label-info{background-color:#033c73}.label-info[href]:hover,.label-info[href]:focus{background-color:#022241}.label-warning{background-color:#dd5600}.label-warning[href]:hover,.label-warning[href]:focus{background-color:#aa4200}.label-danger{background-color:#c71c22}.label-danger[href]:hover,.label-danger[href]:focus{background-color:#9a161a}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:bold;color:#ffffff;line-height:1;vertical-align:middle;white-space:nowrap;text-align:center;background-color:#2fa4e7;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-xs .badge,.btn-group-xs>.btn .badge{top:0;padding:1px 5px}a.badge:hover,a.badge:focus{color:#ffffff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#2fa4e7;background-color:#ffffff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eeeeee}.jumbotron h1,.jumbotron .h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px;padding-left:15px;padding-right:15px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-left:60px;padding-right:60px}.jumbotron h1,.jumbotron .h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#ffffff;border:1px solid #dddddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail>img,.thumbnail a>img{margin-left:auto;margin-right:auto}a.thumbnail:hover,a.thumbnail:focus,a.thumbnail.active{border-color:#2fa4e7}.thumbnail .caption{padding:9px;color:#555555}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:bold}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{background-color:#dff0d8;border-color:#d6e9c6;color:#468847}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#356635}.alert-info{background-color:#d9edf7;border-color:#bce8f1;color:#3a87ad}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#2d6987}.alert-warning{background-color:#fcf8e3;border-color:#fbeed5;color:#c09853}.alert-warning hr{border-top-color:#f8e5be}.alert-warning .alert-link{color:#a47e3c}.alert-danger{background-color:#f2dede;border-color:#eed3d7;color:#b94a48}.alert-danger hr{border-top-color:#e6c1c7}.alert-danger .alert-link{color:#953b39}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{overflow:hidden;height:20px;margin-bottom:20px;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1)}.progress-bar{float:left;width:0%;height:100%;font-size:12px;line-height:20px;color:#ffffff;text-align:center;background-color:#2fa4e7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-webkit-transition:width 0.6s ease;-o-transition:width 0.6s ease;transition:width 0.6s ease}.progress-striped .progress-bar,.progress-bar-striped{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress.active .progress-bar,.progress-bar.active{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#73a839}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-info{background-color:#033c73}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-warning{background-color:#dd5600}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-danger{background-color:#c71c22}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{zoom:1;overflow:hidden}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-left,.media-right,.media-body{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{margin-bottom:20px;padding-left:0}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#ffffff;border:1px solid #dddddd}.list-group-item:first-child{border-top-right-radius:4px;border-top-left-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333333}a.list-group-item:hover,button.list-group-item:hover,a.list-group-item:focus,button.list-group-item:focus{text-decoration:none;color:#555555;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:hover,.list-group-item.disabled:focus{background-color:#eeeeee;color:#999999;cursor:not-allowed}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text{color:#999999}.list-group-item.active,.list-group-item.active:hover,.list-group-item.active:focus{z-index:2;color:#ffffff;background-color:#2fa4e7;border-color:#2fa4e7}.list-group-item.active .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>.small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:hover .list-group-item-text,.list-group-item.active:focus .list-group-item-text{color:#e6f4fc}.list-group-item-success{color:#468847;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#468847}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:hover,button.list-group-item-success:hover,a.list-group-item-success:focus,button.list-group-item-success:focus{color:#468847;background-color:#d0e9c6}a.list-group-item-success.active,button.list-group-item-success.active,a.list-group-item-success.active:hover,button.list-group-item-success.active:hover,a.list-group-item-success.active:focus,button.list-group-item-success.active:focus{color:#fff;background-color:#468847;border-color:#468847}.list-group-item-info{color:#3a87ad;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#3a87ad}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:hover,button.list-group-item-info:hover,a.list-group-item-info:focus,button.list-group-item-info:focus{color:#3a87ad;background-color:#c4e3f3}a.list-group-item-info.active,button.list-group-item-info.active,a.list-group-item-info.active:hover,button.list-group-item-info.active:hover,a.list-group-item-info.active:focus,button.list-group-item-info.active:focus{color:#fff;background-color:#3a87ad;border-color:#3a87ad}.list-group-item-warning{color:#c09853;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#c09853}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:hover,button.list-group-item-warning:hover,a.list-group-item-warning:focus,button.list-group-item-warning:focus{color:#c09853;background-color:#faf2cc}a.list-group-item-warning.active,button.list-group-item-warning.active,a.list-group-item-warning.active:hover,button.list-group-item-warning.active:hover,a.list-group-item-warning.active:focus,button.list-group-item-warning.active:focus{color:#fff;background-color:#c09853;border-color:#c09853}.list-group-item-danger{color:#b94a48;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#b94a48}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:hover,button.list-group-item-danger:hover,a.list-group-item-danger:focus,button.list-group-item-danger:focus{color:#b94a48;background-color:#ebcccc}a.list-group-item-danger.active,button.list-group-item-danger.active,a.list-group-item-danger.active:hover,button.list-group-item-danger.active:hover,a.list-group-item-danger.active:focus,button.list-group-item-danger.active:focus{color:#fff;background-color:#b94a48;border-color:#b94a48}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#ffffff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,0.05);box-shadow:0 1px 1px rgba(0,0,0,0.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-right-radius:3px;border-top-left-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>a,.panel-title>small,.panel-title>.small,.panel-title>small>a,.panel-title>.small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #dddddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-right-radius:3px;border-top-left-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-right-radius:0;border-top-left-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.table,.panel>.table-responsive>.table,.panel>.panel-collapse>.table{margin-bottom:0}.panel>.table caption,.panel>.table-responsive>.table caption,.panel>.panel-collapse>.table caption{padding-left:15px;padding-right:15px}.panel>.table:first-child,.panel>.table-responsive:first-child>.table:first-child{border-top-right-radius:3px;border-top-left-radius:3px}.panel>.table:first-child>thead:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table:last-child,.panel>.table-responsive:last-child>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-left-radius:3px;border-bottom-right-radius:3px}.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #dddddd}.panel>.table>tbody:first-child>tr:first-child th,.panel>.table>tbody:first-child>tr:first-child td{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child{border-left:0}.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child{border-right:0}.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{border:0;margin-bottom:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.panel-body,.panel-group .panel-heading+.panel-collapse>.list-group{border-top:1px solid #dddddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #dddddd}.panel-default{border-color:#dddddd}.panel-default>.panel-heading{color:#555555;background-color:#f5f5f5;border-color:#dddddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#555555}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-primary{border-color:#dddddd}.panel-primary>.panel-heading{color:#ffffff;background-color:#2fa4e7;border-color:#dddddd}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-primary>.panel-heading .badge{color:#2fa4e7;background-color:#ffffff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-success{border-color:#dddddd}.panel-success>.panel-heading{color:#468847;background-color:#73a839;border-color:#dddddd}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-success>.panel-heading .badge{color:#73a839;background-color:#468847}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-info{border-color:#dddddd}.panel-info>.panel-heading{color:#3a87ad;background-color:#033c73;border-color:#dddddd}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-info>.panel-heading .badge{color:#033c73;background-color:#3a87ad}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-warning{border-color:#dddddd}.panel-warning>.panel-heading{color:#c09853;background-color:#dd5600;border-color:#dddddd}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-warning>.panel-heading .badge{color:#dd5600;background-color:#c09853}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-danger{border-color:#dddddd}.panel-danger>.panel-heading{color:#b94a48;background-color:#c71c22;border-color:#dddddd}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-danger>.panel-heading .badge{color:#c71c22;background-color:#b94a48}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive iframe,.embed-responsive embed,.embed-responsive object,.embed-responsive video{position:absolute;top:0;left:0;bottom:0;height:100%;width:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);box-shadow:inset 0 1px 1px rgba(0,0,0,0.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,0.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:bold;line-height:1;color:#000000;text-shadow:0 1px 0 #ffffff;opacity:0.2;filter:alpha(opacity=20)}.close:hover,.close:focus{color:#000000;text-decoration:none;cursor:pointer;opacity:0.5;filter:alpha(opacity=50)}button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none}.modal-open{overflow:hidden}.modal{display:none;overflow:hidden;position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transform:translate(0, -25%);-ms-transform:translate(0, -25%);-o-transform:translate(0, -25%);transform:translate(0, -25%);-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out}.modal.in .modal-dialog{-webkit-transform:translate(0, 0);-ms-transform:translate(0, 0);-o-transform:translate(0, 0);transform:translate(0, 0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#ffffff;border:1px solid #999999;border:1px solid rgba(0,0,0,0.2);border-radius:6px;-webkit-box-shadow:0 3px 9px rgba(0,0,0,0.5);box-shadow:0 3px 9px rgba(0,0,0,0.5);-webkit-background-clip:padding-box;background-clip:padding-box;outline:0}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000000}.modal-backdrop.fade{opacity:0;filter:alpha(opacity=0)}.modal-backdrop.in{opacity:0.5;filter:alpha(opacity=50)}.modal-header{padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:20px}.modal-footer{padding:20px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-left:5px;margin-bottom:0}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,0.5);box-shadow:0 5px 15px rgba(0,0,0,0.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-weight:normal;letter-spacing:normal;line-break:auto;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;word-wrap:normal;font-size:12px;opacity:0;filter:alpha(opacity=0)}.tooltip.in{opacity:0.9;filter:alpha(opacity=90)}.tooltip.top{margin-top:-3px;padding:5px 0}.tooltip.right{margin-left:3px;padding:0 5px}.tooltip.bottom{margin-top:3px;padding:5px 0}.tooltip.left{margin-left:-3px;padding:0 5px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#ffffff;text-align:center;background-color:#000000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000000}.tooltip.top-left .tooltip-arrow{bottom:0;right:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-weight:normal;letter-spacing:normal;line-break:auto;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;word-wrap:normal;font-size:14px;background-color:#ffffff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #cccccc;border:1px solid rgba(0,0,0,0.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2)}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{margin:0;padding:8px 14px;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{border-width:10px;content:""}.popover.top>.arrow{left:50%;margin-left:-11px;border-bottom-width:0;border-top-color:#999999;border-top-color:rgba(0,0,0,0.25);bottom:-11px}.popover.top>.arrow:after{content:" ";bottom:1px;margin-left:-10px;border-bottom-width:0;border-top-color:#ffffff}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-left-width:0;border-right-color:#999999;border-right-color:rgba(0,0,0,0.25)}.popover.right>.arrow:after{content:" ";left:1px;bottom:-10px;border-left-width:0;border-right-color:#ffffff}.popover.bottom>.arrow{left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999999;border-bottom-color:rgba(0,0,0,0.25);top:-11px}.popover.bottom>.arrow:after{content:" ";top:1px;margin-left:-10px;border-top-width:0;border-bottom-color:#ffffff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999999;border-left-color:rgba(0,0,0,0.25)}.popover.left>.arrow:after{content:" ";right:1px;border-right-width:0;border-left-color:#ffffff;bottom:-10px}.carousel{position:relative}.carousel-inner{position:relative;overflow:hidden;width:100%}.carousel-inner>.item{display:none;position:relative;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>img,.carousel-inner>.item>a>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.next,.carousel-inner>.item.active.right{-webkit-transform:translate3d(100%, 0, 0);transform:translate3d(100%, 0, 0);left:0}.carousel-inner>.item.prev,.carousel-inner>.item.active.left{-webkit-transform:translate3d(-100%, 0, 0);transform:translate3d(-100%, 0, 0);left:0}.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right,.carousel-inner>.item.active{-webkit-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);left:0}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;left:0;bottom:0;width:15%;opacity:0.5;filter:alpha(opacity=50);font-size:20px;color:#ffffff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,0.6);background-color:rgba(0,0,0,0)}.carousel-control.left{background-image:-webkit-linear-gradient(left, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-image:-o-linear-gradient(left, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-image:-webkit-gradient(linear, left top, right top, from(rgba(0,0,0,0.5)), to(rgba(0,0,0,0.0001)));background-image:linear-gradient(to right, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1)}.carousel-control.right{left:auto;right:0;background-image:-webkit-linear-gradient(left, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-image:-o-linear-gradient(left, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-image:-webkit-gradient(linear, left top, right top, from(rgba(0,0,0,0.0001)), to(rgba(0,0,0,0.5)));background-image:linear-gradient(to right, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1)}.carousel-control:hover,.carousel-control:focus{outline:0;color:#ffffff;text-decoration:none;opacity:0.9;filter:alpha(opacity=90)}.carousel-control .icon-prev,.carousel-control .icon-next,.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right{position:absolute;top:50%;margin-top:-10px;z-index:5;display:inline-block}.carousel-control .icon-prev,.carousel-control .glyphicon-chevron-left{left:50%;margin-left:-10px}.carousel-control .icon-next,.carousel-control .glyphicon-chevron-right{right:50%;margin-right:-10px}.carousel-control .icon-prev,.carousel-control .icon-next{width:20px;height:20px;line-height:1;font-family:serif}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;margin-left:-30%;padding-left:0;list-style:none;text-align:center}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;border:1px solid #ffffff;border-radius:10px;cursor:pointer;background-color:#000 \9;background-color:rgba(0,0,0,0)}.carousel-indicators .active{margin:0;width:12px;height:12px;background-color:#ffffff}.carousel-caption{position:absolute;left:15%;right:15%;bottom:20px;z-index:10;padding-top:20px;padding-bottom:20px;color:#ffffff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,0.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-prev,.carousel-control .icon-next{width:30px;height:30px;margin-top:-10px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-10px}.carousel-caption{left:20%;right:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.clearfix:before,.clearfix:after,.dl-horizontal dd:before,.dl-horizontal dd:after,.container:before,.container:after,.container-fluid:before,.container-fluid:after,.row:before,.row:after,.form-horizontal .form-group:before,.form-horizontal .form-group:after,.btn-toolbar:before,.btn-toolbar:after,.btn-group-vertical>.btn-group:before,.btn-group-vertical>.btn-group:after,.nav:before,.nav:after,.navbar:before,.navbar:after,.navbar-header:before,.navbar-header:after,.navbar-collapse:before,.navbar-collapse:after,.pager:before,.pager:after,.panel-body:before,.panel-body:after,.modal-header:before,.modal-header:after,.modal-footer:before,.modal-footer:after{content:" ";display:table}.clearfix:after,.dl-horizontal dd:after,.container:after,.container-fluid:after,.row:after,.form-horizontal .form-group:after,.btn-toolbar:after,.btn-group-vertical>.btn-group:after,.nav:after,.navbar:after,.navbar-header:after,.navbar-collapse:after,.pager:after,.panel-body:after,.modal-header:after,.modal-footer:after{clear:both}.center-block{display:block;margin-left:auto;margin-right:auto}.pull-right{float:right !important}.pull-left{float:left !important}.hide{display:none !important}.show{display:block !important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none !important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-xs,.visible-sm,.visible-md,.visible-lg{display:none !important}.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block{display:none !important}@media (max-width:767px){.visible-xs{display:block !important}table.visible-xs{display:table !important}tr.visible-xs{display:table-row !important}th.visible-xs,td.visible-xs{display:table-cell !important}}@media (max-width:767px){.visible-xs-block{display:block !important}}@media (max-width:767px){.visible-xs-inline{display:inline !important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block !important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block !important}table.visible-sm{display:table !important}tr.visible-sm{display:table-row !important}th.visible-sm,td.visible-sm{display:table-cell !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block !important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block !important}table.visible-md{display:table !important}tr.visible-md{display:table-row !important}th.visible-md,td.visible-md{display:table-cell !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block !important}}@media (min-width:1200px){.visible-lg{display:block !important}table.visible-lg{display:table !important}tr.visible-lg{display:table-row !important}th.visible-lg,td.visible-lg{display:table-cell !important}}@media (min-width:1200px){.visible-lg-block{display:block !important}}@media (min-width:1200px){.visible-lg-inline{display:inline !important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block !important}}@media (max-width:767px){.hidden-xs{display:none !important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none !important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none !important}}@media (min-width:1200px){.hidden-lg{display:none !important}}.visible-print{display:none !important}@media print{.visible-print{display:block !important}table.visible-print{display:table !important}tr.visible-print{display:table-row !important}th.visible-print,td.visible-print{display:table-cell !important}}.visible-print-block{display:none !important}@media print{.visible-print-block{display:block !important}}.visible-print-inline{display:none !important}@media print{.visible-print-inline{display:inline !important}}.visible-print-inline-block{display:none !important}@media print{.visible-print-inline-block{display:inline-block !important}}@media print{.hidden-print{display:none !important}}.navbar{background-image:-webkit-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-o-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-webkit-gradient(linear, left top, left bottom, from(#54b4eb), color-stop(60%, #2fa4e7), to(#1d9ce5));background-image:linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff54b4eb', endColorstr='#ff1d9ce5', GradientType=0);border-bottom:1px solid #178acc;-webkit-filter:none;filter:none;-webkit-box-shadow:0 1px 10px rgba(0,0,0,0.1);box-shadow:0 1px 10px rgba(0,0,0,0.1)}.navbar-default .badge{background-color:#fff;color:#2fa4e7}.navbar-inverse{background-image:-webkit-linear-gradient(#04519b, #044687 60%, #033769);background-image:-o-linear-gradient(#04519b, #044687 60%, #033769);background-image:-webkit-gradient(linear, left top, left bottom, from(#04519b), color-stop(60%, #044687), to(#033769));background-image:linear-gradient(#04519b, #044687 60%, #033769);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff04519b', endColorstr='#ff033769', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #022241}.navbar-inverse .badge{background-color:#fff;color:#033c73}.navbar .navbar-nav>li>a,.navbar-brand{text-shadow:0 1px 0 rgba(0,0,0,0.1)}@media (max-width:767px){.navbar .dropdown-header{color:#fff}.navbar .dropdown-menu a{color:#fff}}.btn{text-shadow:0 1px 0 rgba(0,0,0,0.1)}.btn .caret{border-top-color:#fff}.btn-default{background-image:-webkit-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-o-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-webkit-gradient(linear, left top, left bottom, from(#fff), color-stop(60%, #fff), to(#f5f5f5));background-image:linear-gradient(#fff, #fff 60%, #f5f5f5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff5f5f5', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #e6e6e6}.btn-default:hover{color:#555555}.btn-default .caret{border-top-color:#555555}.btn-default{background-image:-webkit-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-o-linear-gradient(#fff, #fff 60%, #f5f5f5);background-image:-webkit-gradient(linear, left top, left bottom, from(#fff), color-stop(60%, #fff), to(#f5f5f5));background-image:linear-gradient(#fff, #fff 60%, #f5f5f5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff5f5f5', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #e6e6e6}.btn-primary{background-image:-webkit-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-o-linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-image:-webkit-gradient(linear, left top, left bottom, from(#54b4eb), color-stop(60%, #2fa4e7), to(#1d9ce5));background-image:linear-gradient(#54b4eb, #2fa4e7 60%, #1d9ce5);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff54b4eb', endColorstr='#ff1d9ce5', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #178acc}.btn-success{background-image:-webkit-linear-gradient(#88c149, #73a839 60%, #699934);background-image:-o-linear-gradient(#88c149, #73a839 60%, #699934);background-image:-webkit-gradient(linear, left top, left bottom, from(#88c149), color-stop(60%, #73a839), to(#699934));background-image:linear-gradient(#88c149, #73a839 60%, #699934);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff88c149', endColorstr='#ff699934', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #59822c}.btn-info{background-image:-webkit-linear-gradient(#04519b, #033c73 60%, #02325f);background-image:-o-linear-gradient(#04519b, #033c73 60%, #02325f);background-image:-webkit-gradient(linear, left top, left bottom, from(#04519b), color-stop(60%, #033c73), to(#02325f));background-image:linear-gradient(#04519b, #033c73 60%, #02325f);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff04519b', endColorstr='#ff02325f', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #022241}.btn-warning{background-image:-webkit-linear-gradient(#ff6707, #dd5600 60%, #c94e00);background-image:-o-linear-gradient(#ff6707, #dd5600 60%, #c94e00);background-image:-webkit-gradient(linear, left top, left bottom, from(#ff6707), color-stop(60%, #dd5600), to(#c94e00));background-image:linear-gradient(#ff6707, #dd5600 60%, #c94e00);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffff6707', endColorstr='#ffc94e00', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #aa4200}.btn-danger{background-image:-webkit-linear-gradient(#e12b31, #c71c22 60%, #b5191f);background-image:-o-linear-gradient(#e12b31, #c71c22 60%, #b5191f);background-image:-webkit-gradient(linear, left top, left bottom, from(#e12b31), color-stop(60%, #c71c22), to(#b5191f));background-image:linear-gradient(#e12b31, #c71c22 60%, #b5191f);background-repeat:no-repeat;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe12b31', endColorstr='#ffb5191f', GradientType=0);-webkit-filter:none;filter:none;border-bottom:1px solid #9a161a}.panel-primary .panel-heading,.panel-success .panel-heading,.panel-warning .panel-heading,.panel-danger .panel-heading,.panel-info .panel-heading,.panel-primary .panel-title,.panel-success .panel-title,.panel-warning .panel-title,.panel-danger .panel-title,.panel-info .panel-title{color:#fff}
@@ -65,12 +65,18 @@
 h6 {font-size: 12px;}
 code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
 pre:not([class]) { background-color: white }</style>
-<script>/*! jQuery UI - v1.13.2 - 2022-07-14
+<script>/*! jQuery UI - v1.11.4 - 2016-01-05
 * http://jqueryui.com
-* Includes: widget.js, position.js, data.js, disable-selection.js, effect.js, effects/effect-blind.js, effects/effect-bounce.js, effects/effect-clip.js, effects/effect-drop.js, effects/effect-explode.js, effects/effect-fade.js, effects/effect-fold.js, effects/effect-highlight.js, effects/effect-puff.js, effects/effect-pulsate.js, effects/effect-scale.js, effects/effect-shake.js, effects/effect-size.js, effects/effect-slide.js, effects/effect-transfer.js, focusable.js, form-reset-mixin.js, jquery-patch.js, keycode.js, labels.js, scroll-parent.js, tabbable.js, unique-id.js, widgets/accordion.js, widgets/autocomplete.js, widgets/button.js, widgets/checkboxradio.js, widgets/controlgroup.js, widgets/datepicker.js, widgets/dialog.js, widgets/draggable.js, widgets/droppable.js, widgets/menu.js, widgets/mouse.js, widgets/progressbar.js, widgets/resizable.js, widgets/selectable.js, widgets/selectmenu.js, widgets/slider.js, widgets/sortable.js, widgets/spinner.js, widgets/tabs.js, widgets/tooltip.js
+* Includes: core.js, widget.js, mouse.js, position.js, draggable.js, droppable.js, resizable.js, selectable.js, sortable.js, accordion.js, autocomplete.js, button.js, dialog.js, menu.js, progressbar.js, selectmenu.js, slider.js, spinner.js, tabs.js, tooltip.js, effect.js, effect-blind.js, effect-bounce.js, effect-clip.js, effect-drop.js, effect-explode.js, effect-fade.js, effect-fold.js, effect-highlight.js, effect-puff.js, effect-pulsate.js, effect-scale.js, effect-shake.js, effect-size.js, effect-slide.js, effect-transfer.js
 * Copyright jQuery Foundation and other contributors; Licensed MIT */
 
-!function(t){"use strict";"function"==typeof define&&define.amd?define(["jquery"],t):t(jQuery)}(function(V){"use strict";V.ui=V.ui||{};V.ui.version="1.13.2";var n,i=0,a=Array.prototype.hasOwnProperty,r=Array.prototype.slice;V.cleanData=(n=V.cleanData,function(t){for(var e,i,s=0;null!=(i=t[s]);s++)(e=V._data(i,"events"))&&e.remove&&V(i).triggerHandler("remove");n(t)}),V.widget=function(t,i,e){var s,n,o,a={},r=t.split(".")[0],l=r+"-"+(t=t.split(".")[1]);return e||(e=i,i=V.Widget),Array.isArray(e)&&(e=V.extend.apply(null,[{}].concat(e))),V.expr.pseudos[l.toLowerCase()]=function(t){return!!V.data(t,l)},V[r]=V[r]||{},s=V[r][t],n=V[r][t]=function(t,e){if(!this||!this._createWidget)return new n(t,e);arguments.length&&this._createWidget(t,e)},V.extend(n,s,{version:e.version,_proto:V.extend({},e),_childConstructors:[]}),(o=new i).options=V.widget.extend({},o.options),V.each(e,function(e,s){function n(){return i.prototype[e].apply(this,arguments)}function o(t){return i.prototype[e].apply(this,t)}a[e]="function"==typeof s?function(){var t,e=this._super,i=this._superApply;return this._super=n,this._superApply=o,t=s.apply(this,arguments),this._super=e,this._superApply=i,t}:s}),n.prototype=V.widget.extend(o,{widgetEventPrefix:s&&o.widgetEventPrefix||t},a,{constructor:n,namespace:r,widgetName:t,widgetFullName:l}),s?(V.each(s._childConstructors,function(t,e){var i=e.prototype;V.widget(i.namespace+"."+i.widgetName,n,e._proto)}),delete s._childConstructors):i._childConstructors.push(n),V.widget.bridge(t,n),n},V.widget.extend=function(t){for(var e,i,s=r.call(arguments,1),n=0,o=s.length;n<o;n++)for(e in s[n])i=s[n][e],a.call(s[n],e)&&void 0!==i&&(V.isPlainObject(i)?t[e]=V.isPlainObject(t[e])?V.widget.extend({},t[e],i):V.widget.extend({},i):t[e]=i);return t},V.widget.bridge=function(o,e){var a=e.prototype.widgetFullName||o;V.fn[o]=function(i){var t="string"==typeof i,s=r.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t,e=V.data(this,a);return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?V.error("no such method '"+i+"' for "+o+" widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:V.error("cannot call methods on "+o+" prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=V.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=V.data(this,a);t?(t.option(i||{}),t._init&&t._init()):V.data(this,a,new e(i,this))})),n}},V.Widget=function(){},V.Widget._childConstructors=[],V.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{classes:{},disabled:!1,create:null},_createWidget:function(t,e){e=V(e||this.defaultElement||this)[0],this.element=V(e),this.uuid=i++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=V(),this.hoverable=V(),this.focusable=V(),this.classesElementLookup={},e!==this&&(V.data(e,this.widgetFullName,this),this._on(!0,this.element,{remove:function(t){t.target===e&&this.destroy()}}),this.document=V(e.style?e.ownerDocument:e.document||e),this.window=V(this.document[0].defaultView||this.document[0].parentWindow)),this.options=V.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this.options.disabled&&this._setOptionDisabled(this.options.disabled),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:function(){return{}},_getCreateEventData:V.noop,_create:V.noop,_init:V.noop,destroy:function(){var i=this;this._destroy(),V.each(this.classesElementLookup,function(t,e){i._removeClass(e,t)}),this.element.off(this.eventNamespace).removeData(this.widgetFullName),this.widget().off(this.eventNamespace).removeAttr("aria-disabled"),this.bindings.off(this.eventNamespace)},_destroy:V.noop,widget:function(){return this.element},option:function(t,e){var i,s,n,o=t;if(0===arguments.length)return V.widget.extend({},this.options);if("string"==typeof t)if(o={},t=(i=t.split(".")).shift(),i.length){for(s=o[t]=V.widget.extend({},this.options[t]),n=0;n<i.length-1;n++)s[i[n]]=s[i[n]]||{},s=s[i[n]];if(t=i.pop(),1===arguments.length)return void 0===s[t]?null:s[t];s[t]=e}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=e}return this._setOptions(o),this},_setOptions:function(t){for(var e in t)this._setOption(e,t[e]);return this},_setOption:function(t,e){return"classes"===t&&this._setOptionClasses(e),this.options[t]=e,"disabled"===t&&this._setOptionDisabled(e),this},_setOptionClasses:function(t){var e,i,s;for(e in t)s=this.classesElementLookup[e],t[e]!==this.options.classes[e]&&s&&s.length&&(i=V(s.get()),this._removeClass(s,e),i.addClass(this._classes({element:i,keys:e,classes:t,add:!0})))},_setOptionDisabled:function(t){this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!!t),t&&(this._removeClass(this.hoverable,null,"ui-state-hover"),this._removeClass(this.focusable,null,"ui-state-focus"))},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_classes:function(n){var o=[],a=this;function t(t,e){for(var i,s=0;s<t.length;s++)i=a.classesElementLookup[t[s]]||V(),i=n.add?(function(){var i=[];n.element.each(function(t,e){V.map(a.classesElementLookup,function(t){return t}).some(function(t){return t.is(e)})||i.push(e)}),a._on(V(i),{remove:"_untrackClassesElement"})}(),V(V.uniqueSort(i.get().concat(n.element.get())))):V(i.not(n.element).get()),a.classesElementLookup[t[s]]=i,o.push(t[s]),e&&n.classes[t[s]]&&o.push(n.classes[t[s]])}return(n=V.extend({element:this.element,classes:this.options.classes||{}},n)).keys&&t(n.keys.match(/\S+/g)||[],!0),n.extra&&t(n.extra.match(/\S+/g)||[]),o.join(" ")},_untrackClassesElement:function(i){var s=this;V.each(s.classesElementLookup,function(t,e){-1!==V.inArray(i.target,e)&&(s.classesElementLookup[t]=V(e.not(i.target).get()))}),this._off(V(i.target))},_removeClass:function(t,e,i){return this._toggleClass(t,e,i,!1)},_addClass:function(t,e,i){return this._toggleClass(t,e,i,!0)},_toggleClass:function(t,e,i,s){var n="string"==typeof t||null===t,i={extra:n?e:i,keys:n?t:e,element:n?this.element:t,add:s="boolean"==typeof s?s:i};return i.element.toggleClass(this._classes(i),s),this},_on:function(n,o,t){var a,r=this;"boolean"!=typeof n&&(t=o,o=n,n=!1),t?(o=a=V(o),this.bindings=this.bindings.add(o)):(t=o,o=this.element,a=this.widget()),V.each(t,function(t,e){function i(){if(n||!0!==r.options.disabled&&!V(this).hasClass("ui-state-disabled"))return("string"==typeof e?r[e]:e).apply(r,arguments)}"string"!=typeof e&&(i.guid=e.guid=e.guid||i.guid||V.guid++);var s=t.match(/^([\w:-]*)\s*(.*)$/),t=s[1]+r.eventNamespace,s=s[2];s?a.on(t,s,i):o.on(t,i)})},_off:function(t,e){e=(e||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.off(e),this.bindings=V(this.bindings.not(t).get()),this.focusable=V(this.focusable.not(t).get()),this.hoverable=V(this.hoverable.not(t).get())},_delay:function(t,e){var i=this;return setTimeout(function(){return("string"==typeof t?i[t]:t).apply(i,arguments)},e||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){this._addClass(V(t.currentTarget),null,"ui-state-hover")},mouseleave:function(t){this._removeClass(V(t.currentTarget),null,"ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){this._addClass(V(t.currentTarget),null,"ui-state-focus")},focusout:function(t){this._removeClass(V(t.currentTarget),null,"ui-state-focus")}})},_trigger:function(t,e,i){var s,n,o=this.options[t];if(i=i||{},(e=V.Event(e)).type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),e.target=this.element[0],n=e.originalEvent)for(s in n)s in e||(e[s]=n[s]);return this.element.trigger(e,i),!("function"==typeof o&&!1===o.apply(this.element[0],[e].concat(i))||e.isDefaultPrevented())}},V.each({show:"fadeIn",hide:"fadeOut"},function(o,a){V.Widget.prototype["_"+o]=function(e,t,i){var s,n=(t="string"==typeof t?{effect:t}:t)?!0!==t&&"number"!=typeof t&&t.effect||a:o;"number"==typeof(t=t||{})?t={duration:t}:!0===t&&(t={}),s=!V.isEmptyObject(t),t.complete=i,t.delay&&e.delay(t.delay),s&&V.effects&&V.effects.effect[n]?e[o](t):n!==o&&e[n]?e[n](t.duration,t.easing,i):e.queue(function(t){V(this)[o](),i&&i.call(e[0]),t()})}});var s,x,k,o,l,h,c,u,C;V.widget;function D(t,e,i){return[parseFloat(t[0])*(u.test(t[0])?e/100:1),parseFloat(t[1])*(u.test(t[1])?i/100:1)]}function I(t,e){return parseInt(V.css(t,e),10)||0}function T(t){return null!=t&&t===t.window}x=Math.max,k=Math.abs,o=/left|center|right/,l=/top|center|bottom/,h=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,u=/%$/,C=V.fn.position,V.position={scrollbarWidth:function(){if(void 0!==s)return s;var t,e=V("<div style='display:block;position:absolute;width:200px;height:200px;overflow:hidden;'><div style='height:300px;width:auto;'></div></div>"),i=e.children()[0];return V("body").append(e),t=i.offsetWidth,e.css("overflow","scroll"),t===(i=i.offsetWidth)&&(i=e[0].clientWidth),e.remove(),s=t-i},getScrollInfo:function(t){var e=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),i=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),e="scroll"===e||"auto"===e&&t.width<t.element[0].scrollWidth;return{width:"scroll"===i||"auto"===i&&t.height<t.element[0].scrollHeight?V.position.scrollbarWidth():0,height:e?V.position.scrollbarWidth():0}},getWithinInfo:function(t){var e=V(t||window),i=T(e[0]),s=!!e[0]&&9===e[0].nodeType;return{element:e,isWindow:i,isDocument:s,offset:!i&&!s?V(t).offset():{left:0,top:0},scrollLeft:e.scrollLeft(),scrollTop:e.scrollTop(),width:e.outerWidth(),height:e.outerHeight()}}},V.fn.position=function(u){if(!u||!u.of)return C.apply(this,arguments);var d,p,f,g,m,t,_="string"==typeof(u=V.extend({},u)).of?V(document).find(u.of):V(u.of),v=V.position.getWithinInfo(u.within),b=V.position.getScrollInfo(v),y=(u.collision||"flip").split(" "),w={},e=9===(t=(e=_)[0]).nodeType?{width:e.width(),height:e.height(),offset:{top:0,left:0}}:T(t)?{width:e.width(),height:e.height(),offset:{top:e.scrollTop(),left:e.scrollLeft()}}:t.preventDefault?{width:0,height:0,offset:{top:t.pageY,left:t.pageX}}:{width:e.outerWidth(),height:e.outerHeight(),offset:e.offset()};return _[0].preventDefault&&(u.at="left top"),p=e.width,f=e.height,m=V.extend({},g=e.offset),V.each(["my","at"],function(){var t,e,i=(u[this]||"").split(" ");(i=1===i.length?o.test(i[0])?i.concat(["center"]):l.test(i[0])?["center"].concat(i):["center","center"]:i)[0]=o.test(i[0])?i[0]:"center",i[1]=l.test(i[1])?i[1]:"center",t=h.exec(i[0]),e=h.exec(i[1]),w[this]=[t?t[0]:0,e?e[0]:0],u[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===y.length&&(y[1]=y[0]),"right"===u.at[0]?m.left+=p:"center"===u.at[0]&&(m.left+=p/2),"bottom"===u.at[1]?m.top+=f:"center"===u.at[1]&&(m.top+=f/2),d=D(w.at,p,f),m.left+=d[0],m.top+=d[1],this.each(function(){var i,t,a=V(this),r=a.outerWidth(),l=a.outerHeight(),e=I(this,"marginLeft"),s=I(this,"marginTop"),n=r+e+I(this,"marginRight")+b.width,o=l+s+I(this,"marginBottom")+b.height,h=V.extend({},m),c=D(w.my,a.outerWidth(),a.outerHeight());"right"===u.my[0]?h.left-=r:"center"===u.my[0]&&(h.left-=r/2),"bottom"===u.my[1]?h.top-=l:"center"===u.my[1]&&(h.top-=l/2),h.left+=c[0],h.top+=c[1],i={marginLeft:e,marginTop:s},V.each(["left","top"],function(t,e){V.ui.position[y[t]]&&V.ui.position[y[t]][e](h,{targetWidth:p,targetHeight:f,elemWidth:r,elemHeight:l,collisionPosition:i,collisionWidth:n,collisionHeight:o,offset:[d[0]+c[0],d[1]+c[1]],my:u.my,at:u.at,within:v,elem:a})}),u.using&&(t=function(t){var e=g.left-h.left,i=e+p-r,s=g.top-h.top,n=s+f-l,o={target:{element:_,left:g.left,top:g.top,width:p,height:f},element:{element:a,left:h.left,top:h.top,width:r,height:l},horizontal:i<0?"left":0<e?"right":"center",vertical:n<0?"top":0<s?"bottom":"middle"};p<r&&k(e+i)<p&&(o.horizontal="center"),f<l&&k(s+n)<f&&(o.vertical="middle"),x(k(e),k(i))>x(k(s),k(n))?o.important="horizontal":o.important="vertical",u.using.call(this,t,o)}),a.offset(V.extend(h,{using:t}))})},V.ui.position={fit:{left:function(t,e){var i=e.within,s=i.isWindow?i.scrollLeft:i.offset.left,n=i.width,o=t.left-e.collisionPosition.marginLeft,a=s-o,r=o+e.collisionWidth-n-s;e.collisionWidth>n?0<a&&r<=0?(i=t.left+a+e.collisionWidth-n-s,t.left+=a-i):t.left=!(0<r&&a<=0)&&r<a?s+n-e.collisionWidth:s:0<a?t.left+=a:0<r?t.left-=r:t.left=x(t.left-o,t.left)},top:function(t,e){var i=e.within,s=i.isWindow?i.scrollTop:i.offset.top,n=e.within.height,o=t.top-e.collisionPosition.marginTop,a=s-o,r=o+e.collisionHeight-n-s;e.collisionHeight>n?0<a&&r<=0?(i=t.top+a+e.collisionHeight-n-s,t.top+=a-i):t.top=!(0<r&&a<=0)&&r<a?s+n-e.collisionHeight:s:0<a?t.top+=a:0<r?t.top-=r:t.top=x(t.top-o,t.top)}},flip:{left:function(t,e){var i=e.within,s=i.offset.left+i.scrollLeft,n=i.width,o=i.isWindow?i.scrollLeft:i.offset.left,a=t.left-e.collisionPosition.marginLeft,r=a-o,l=a+e.collisionWidth-n-o,h="left"===e.my[0]?-e.elemWidth:"right"===e.my[0]?e.elemWidth:0,i="left"===e.at[0]?e.targetWidth:"right"===e.at[0]?-e.targetWidth:0,a=-2*e.offset[0];r<0?((s=t.left+h+i+a+e.collisionWidth-n-s)<0||s<k(r))&&(t.left+=h+i+a):0<l&&(0<(o=t.left-e.collisionPosition.marginLeft+h+i+a-o)||k(o)<l)&&(t.left+=h+i+a)},top:function(t,e){var i=e.within,s=i.offset.top+i.scrollTop,n=i.height,o=i.isWindow?i.scrollTop:i.offset.top,a=t.top-e.collisionPosition.marginTop,r=a-o,l=a+e.collisionHeight-n-o,h="top"===e.my[1]?-e.elemHeight:"bottom"===e.my[1]?e.elemHeight:0,i="top"===e.at[1]?e.targetHeight:"bottom"===e.at[1]?-e.targetHeight:0,a=-2*e.offset[1];r<0?((s=t.top+h+i+a+e.collisionHeight-n-s)<0||s<k(r))&&(t.top+=h+i+a):0<l&&(0<(o=t.top-e.collisionPosition.marginTop+h+i+a-o)||k(o)<l)&&(t.top+=h+i+a)}},flipfit:{left:function(){V.ui.position.flip.left.apply(this,arguments),V.ui.position.fit.left.apply(this,arguments)},top:function(){V.ui.position.flip.top.apply(this,arguments),V.ui.position.fit.top.apply(this,arguments)}}};V.ui.position,V.extend(V.expr.pseudos,{data:V.expr.createPseudo?V.expr.createPseudo(function(e){return function(t){return!!V.data(t,e)}}):function(t,e,i){return!!V.data(t,i[3])}}),V.fn.extend({disableSelection:(t="onselectstart"in document.createElement("div")?"selectstart":"mousedown",function(){return this.on(t+".ui-disableSelection",function(t){t.preventDefault()})}),enableSelection:function(){return this.off(".ui-disableSelection")}});var t,d=V,p={},e=p.toString,f=/^([\-+])=\s*(\d+\.?\d*)/,g=[{re:/rgba?\(\s*(\d{1,3})\s*,\s*(\d{1,3})\s*,\s*(\d{1,3})\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(t){return[t[1],t[2],t[3],t[4]]}},{re:/rgba?\(\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(t){return[2.55*t[1],2.55*t[2],2.55*t[3],t[4]]}},{re:/#([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})?/,parse:function(t){return[parseInt(t[1],16),parseInt(t[2],16),parseInt(t[3],16),t[4]?(parseInt(t[4],16)/255).toFixed(2):1]}},{re:/#([a-f0-9])([a-f0-9])([a-f0-9])([a-f0-9])?/,parse:function(t){return[parseInt(t[1]+t[1],16),parseInt(t[2]+t[2],16),parseInt(t[3]+t[3],16),t[4]?(parseInt(t[4]+t[4],16)/255).toFixed(2):1]}},{re:/hsla?\(\s*(\d+(?:\.\d+)?)\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,space:"hsla",parse:function(t){return[t[1],t[2]/100,t[3]/100,t[4]]}}],m=d.Color=function(t,e,i,s){return new d.Color.fn.parse(t,e,i,s)},_={rgba:{props:{red:{idx:0,type:"byte"},green:{idx:1,type:"byte"},blue:{idx:2,type:"byte"}}},hsla:{props:{hue:{idx:0,type:"degrees"},saturation:{idx:1,type:"percent"},lightness:{idx:2,type:"percent"}}}},v={byte:{floor:!0,max:255},percent:{max:1},degrees:{mod:360,floor:!0}},b=m.support={},y=d("<p>")[0],w=d.each;function P(t){return null==t?t+"":"object"==typeof t?p[e.call(t)]||"object":typeof t}function M(t,e,i){var s=v[e.type]||{};return null==t?i||!e.def?null:e.def:(t=s.floor?~~t:parseFloat(t),isNaN(t)?e.def:s.mod?(t+s.mod)%s.mod:Math.min(s.max,Math.max(0,t)))}function S(s){var n=m(),o=n._rgba=[];return s=s.toLowerCase(),w(g,function(t,e){var i=e.re.exec(s),i=i&&e.parse(i),e=e.space||"rgba";if(i)return i=n[e](i),n[_[e].cache]=i[_[e].cache],o=n._rgba=i._rgba,!1}),o.length?("0,0,0,0"===o.join()&&d.extend(o,B.transparent),n):B[s]}function H(t,e,i){return 6*(i=(i+1)%1)<1?t+(e-t)*i*6:2*i<1?e:3*i<2?t+(e-t)*(2/3-i)*6:t}y.style.cssText="background-color:rgba(1,1,1,.5)",b.rgba=-1<y.style.backgroundColor.indexOf("rgba"),w(_,function(t,e){e.cache="_"+t,e.props.alpha={idx:3,type:"percent",def:1}}),d.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(t,e){p["[object "+e+"]"]=e.toLowerCase()}),(m.fn=d.extend(m.prototype,{parse:function(n,t,e,i){if(void 0===n)return this._rgba=[null,null,null,null],this;(n.jquery||n.nodeType)&&(n=d(n).css(t),t=void 0);var o=this,s=P(n),a=this._rgba=[];return void 0!==t&&(n=[n,t,e,i],s="array"),"string"===s?this.parse(S(n)||B._default):"array"===s?(w(_.rgba.props,function(t,e){a[e.idx]=M(n[e.idx],e)}),this):"object"===s?(w(_,n instanceof m?function(t,e){n[e.cache]&&(o[e.cache]=n[e.cache].slice())}:function(t,i){var s=i.cache;w(i.props,function(t,e){if(!o[s]&&i.to){if("alpha"===t||null==n[t])return;o[s]=i.to(o._rgba)}o[s][e.idx]=M(n[t],e,!0)}),o[s]&&d.inArray(null,o[s].slice(0,3))<0&&(null==o[s][3]&&(o[s][3]=1),i.from&&(o._rgba=i.from(o[s])))}),this):void 0},is:function(t){var n=m(t),o=!0,a=this;return w(_,function(t,e){var i,s=n[e.cache];return s&&(i=a[e.cache]||e.to&&e.to(a._rgba)||[],w(e.props,function(t,e){if(null!=s[e.idx])return o=s[e.idx]===i[e.idx]})),o}),o},_space:function(){var i=[],s=this;return w(_,function(t,e){s[e.cache]&&i.push(t)}),i.pop()},transition:function(t,a){var e=(h=m(t))._space(),i=_[e],t=0===this.alpha()?m("transparent"):this,r=t[i.cache]||i.to(t._rgba),l=r.slice(),h=h[i.cache];return w(i.props,function(t,e){var i=e.idx,s=r[i],n=h[i],o=v[e.type]||{};null!==n&&(null===s?l[i]=n:(o.mod&&(n-s>o.mod/2?s+=o.mod:s-n>o.mod/2&&(s-=o.mod)),l[i]=M((n-s)*a+s,e)))}),this[e](l)},blend:function(t){if(1===this._rgba[3])return this;var e=this._rgba.slice(),i=e.pop(),s=m(t)._rgba;return m(d.map(e,function(t,e){return(1-i)*s[e]+i*t}))},toRgbaString:function(){var t="rgba(",e=d.map(this._rgba,function(t,e){return null!=t?t:2<e?1:0});return 1===e[3]&&(e.pop(),t="rgb("),t+e.join()+")"},toHslaString:function(){var t="hsla(",e=d.map(this.hsla(),function(t,e){return null==t&&(t=2<e?1:0),t=e&&e<3?Math.round(100*t)+"%":t});return 1===e[3]&&(e.pop(),t="hsl("),t+e.join()+")"},toHexString:function(t){var e=this._rgba.slice(),i=e.pop();return t&&e.push(~~(255*i)),"#"+d.map(e,function(t){return 1===(t=(t||0).toString(16)).length?"0"+t:t}).join("")},toString:function(){return 0===this._rgba[3]?"transparent":this.toRgbaString()}})).parse.prototype=m.fn,_.hsla.to=function(t){if(null==t[0]||null==t[1]||null==t[2])return[null,null,null,t[3]];var e=t[0]/255,i=t[1]/255,s=t[2]/255,n=t[3],o=Math.max(e,i,s),a=Math.min(e,i,s),r=o-a,l=o+a,t=.5*l,i=a===o?0:e===o?60*(i-s)/r+360:i===o?60*(s-e)/r+120:60*(e-i)/r+240,l=0==r?0:t<=.5?r/l:r/(2-l);return[Math.round(i)%360,l,t,null==n?1:n]},_.hsla.from=function(t){if(null==t[0]||null==t[1]||null==t[2])return[null,null,null,t[3]];var e=t[0]/360,i=t[1],s=t[2],t=t[3],i=s<=.5?s*(1+i):s+i-s*i,s=2*s-i;return[Math.round(255*H(s,i,e+1/3)),Math.round(255*H(s,i,e)),Math.round(255*H(s,i,e-1/3)),t]},w(_,function(l,t){var e=t.props,o=t.cache,a=t.to,r=t.from;m.fn[l]=function(t){if(a&&!this[o]&&(this[o]=a(this._rgba)),void 0===t)return this[o].slice();var i=P(t),s="array"===i||"object"===i?t:arguments,n=this[o].slice();return w(e,function(t,e){t=s["object"===i?t:e.idx];null==t&&(t=n[e.idx]),n[e.idx]=M(t,e)}),r?((t=m(r(n)))[o]=n,t):m(n)},w(e,function(a,r){m.fn[a]||(m.fn[a]=function(t){var e,i=P(t),s="alpha"===a?this._hsla?"hsla":"rgba":l,n=this[s](),o=n[r.idx];return"undefined"===i?o:("function"===i&&(i=P(t=t.call(this,o))),null==t&&r.empty?this:("string"===i&&(e=f.exec(t))&&(t=o+parseFloat(e[2])*("+"===e[1]?1:-1)),n[r.idx]=t,this[s](n)))})})}),(m.hook=function(t){t=t.split(" ");w(t,function(t,o){d.cssHooks[o]={set:function(t,e){var i,s,n="";if("transparent"!==e&&("string"!==P(e)||(i=S(e)))){if(e=m(i||e),!b.rgba&&1!==e._rgba[3]){for(s="backgroundColor"===o?t.parentNode:t;(""===n||"transparent"===n)&&s&&s.style;)try{n=d.css(s,"backgroundColor"),s=s.parentNode}catch(t){}e=e.blend(n&&"transparent"!==n?n:"_default")}e=e.toRgbaString()}try{t.style[o]=e}catch(t){}}},d.fx.step[o]=function(t){t.colorInit||(t.start=m(t.elem,o),t.end=m(t.end),t.colorInit=!0),d.cssHooks[o].set(t.elem,t.start.transition(t.end,t.pos))}})})("backgroundColor borderBottomColor borderLeftColor borderRightColor borderTopColor color columnRuleColor outlineColor textDecorationColor textEmphasisColor"),d.cssHooks.borderColor={expand:function(i){var s={};return w(["Top","Right","Bottom","Left"],function(t,e){s["border"+e+"Color"]=i}),s}};var z,A,O,N,E,W,F,L,R,Y,B=d.Color.names={aqua:"#00ffff",black:"#000000",blue:"#0000ff",fuchsia:"#ff00ff",gray:"#808080",green:"#008000",lime:"#00ff00",maroon:"#800000",navy:"#000080",olive:"#808000",purple:"#800080",red:"#ff0000",silver:"#c0c0c0",teal:"#008080",white:"#ffffff",yellow:"#ffff00",transparent:[null,null,null,0],_default:"#ffffff"},j="ui-effects-",q="ui-effects-style",K="ui-effects-animated";function U(t){var e,i,s=t.ownerDocument.defaultView?t.ownerDocument.defaultView.getComputedStyle(t,null):t.currentStyle,n={};if(s&&s.length&&s[0]&&s[s[0]])for(i=s.length;i--;)"string"==typeof s[e=s[i]]&&(n[e.replace(/-([\da-z])/gi,function(t,e){return e.toUpperCase()})]=s[e]);else for(e in s)"string"==typeof s[e]&&(n[e]=s[e]);return n}function X(t,e,i,s){return t={effect:t=V.isPlainObject(t)?(e=t).effect:t},"function"==typeof(e=null==e?{}:e)&&(s=e,i=null,e={}),"number"!=typeof e&&!V.fx.speeds[e]||(s=i,i=e,e={}),"function"==typeof i&&(s=i,i=null),e&&V.extend(t,e),i=i||e.duration,t.duration=V.fx.off?0:"number"==typeof i?i:i in V.fx.speeds?V.fx.speeds[i]:V.fx.speeds._default,t.complete=s||e.complete,t}function $(t){return!t||"number"==typeof t||V.fx.speeds[t]||("string"==typeof t&&!V.effects.effect[t]||("function"==typeof t||"object"==typeof t&&!t.effect))}function G(t,e){var i=e.outerWidth(),e=e.outerHeight(),t=/^rect\((-?\d*\.?\d*px|-?\d+%|auto),?\s*(-?\d*\.?\d*px|-?\d+%|auto),?\s*(-?\d*\.?\d*px|-?\d+%|auto),?\s*(-?\d*\.?\d*px|-?\d+%|auto)\)$/.exec(t)||["",0,i,e,0];return{top:parseFloat(t[1])||0,right:"auto"===t[2]?i:parseFloat(t[2]),bottom:"auto"===t[3]?e:parseFloat(t[3]),left:parseFloat(t[4])||0}}V.effects={effect:{}},N=["add","remove","toggle"],E={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1},V.each(["borderLeftStyle","borderRightStyle","borderBottomStyle","borderTopStyle"],function(t,e){V.fx.step[e]=function(t){("none"!==t.end&&!t.setAttr||1===t.pos&&!t.setAttr)&&(d.style(t.elem,e,t.end),t.setAttr=!0)}}),V.fn.addBack||(V.fn.addBack=function(t){return this.add(null==t?this.prevObject:this.prevObject.filter(t))}),V.effects.animateClass=function(n,t,e,i){var o=V.speed(t,e,i);return this.queue(function(){var i=V(this),t=i.attr("class")||"",e=(e=o.children?i.find("*").addBack():i).map(function(){return{el:V(this),start:U(this)}}),s=function(){V.each(N,function(t,e){n[e]&&i[e+"Class"](n[e])})};s(),e=e.map(function(){return this.end=U(this.el[0]),this.diff=function(t,e){var i,s,n={};for(i in e)s=e[i],t[i]!==s&&(E[i]||!V.fx.step[i]&&isNaN(parseFloat(s))||(n[i]=s));return n}(this.start,this.end),this}),i.attr("class",t),e=e.map(function(){var t=this,e=V.Deferred(),i=V.extend({},o,{queue:!1,complete:function(){e.resolve(t)}});return this.el.animate(this.diff,i),e.promise()}),V.when.apply(V,e.get()).done(function(){s(),V.each(arguments,function(){var e=this.el;V.each(this.diff,function(t){e.css(t,"")})}),o.complete.call(i[0])})})},V.fn.extend({addClass:(O=V.fn.addClass,function(t,e,i,s){return e?V.effects.animateClass.call(this,{add:t},e,i,s):O.apply(this,arguments)}),removeClass:(A=V.fn.removeClass,function(t,e,i,s){return 1<arguments.length?V.effects.animateClass.call(this,{remove:t},e,i,s):A.apply(this,arguments)}),toggleClass:(z=V.fn.toggleClass,function(t,e,i,s,n){return"boolean"==typeof e||void 0===e?i?V.effects.animateClass.call(this,e?{add:t}:{remove:t},i,s,n):z.apply(this,arguments):V.effects.animateClass.call(this,{toggle:t},e,i,s)}),switchClass:function(t,e,i,s,n){return V.effects.animateClass.call(this,{add:e,remove:t},i,s,n)}}),V.expr&&V.expr.pseudos&&V.expr.pseudos.animated&&(V.expr.pseudos.animated=(W=V.expr.pseudos.animated,function(t){return!!V(t).data(K)||W(t)})),!1!==V.uiBackCompat&&V.extend(V.effects,{save:function(t,e){for(var i=0,s=e.length;i<s;i++)null!==e[i]&&t.data(j+e[i],t[0].style[e[i]])},restore:function(t,e){for(var i,s=0,n=e.length;s<n;s++)null!==e[s]&&(i=t.data(j+e[s]),t.css(e[s],i))},setMode:function(t,e){return e="toggle"===e?t.is(":hidden")?"show":"hide":e},createWrapper:function(i){if(i.parent().is(".ui-effects-wrapper"))return i.parent();var s={width:i.outerWidth(!0),height:i.outerHeight(!0),float:i.css("float")},t=V("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),e={width:i.width(),height:i.height()},n=document.activeElement;try{n.id}catch(t){n=document.body}return i.wrap(t),i[0]!==n&&!V.contains(i[0],n)||V(n).trigger("focus"),t=i.parent(),"static"===i.css("position")?(t.css({position:"relative"}),i.css({position:"relative"})):(V.extend(s,{position:i.css("position"),zIndex:i.css("z-index")}),V.each(["top","left","bottom","right"],function(t,e){s[e]=i.css(e),isNaN(parseInt(s[e],10))&&(s[e]="auto")}),i.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"})),i.css(e),t.css(s).show()},removeWrapper:function(t){var e=document.activeElement;return t.parent().is(".ui-effects-wrapper")&&(t.parent().replaceWith(t),t[0]!==e&&!V.contains(t[0],e)||V(e).trigger("focus")),t}}),V.extend(V.effects,{version:"1.13.2",define:function(t,e,i){return i||(i=e,e="effect"),V.effects.effect[t]=i,V.effects.effect[t].mode=e,i},scaledDimensions:function(t,e,i){if(0===e)return{height:0,width:0,outerHeight:0,outerWidth:0};var s="horizontal"!==i?(e||100)/100:1,e="vertical"!==i?(e||100)/100:1;return{height:t.height()*e,width:t.width()*s,outerHeight:t.outerHeight()*e,outerWidth:t.outerWidth()*s}},clipToBox:function(t){return{width:t.clip.right-t.clip.left,height:t.clip.bottom-t.clip.top,left:t.clip.left,top:t.clip.top}},unshift:function(t,e,i){var s=t.queue();1<e&&s.splice.apply(s,[1,0].concat(s.splice(e,i))),t.dequeue()},saveStyle:function(t){t.data(q,t[0].style.cssText)},restoreStyle:function(t){t[0].style.cssText=t.data(q)||"",t.removeData(q)},mode:function(t,e){t=t.is(":hidden");return"toggle"===e&&(e=t?"show":"hide"),e=(t?"hide"===e:"show"===e)?"none":e},getBaseline:function(t,e){var i,s;switch(t[0]){case"top":i=0;break;case"middle":i=.5;break;case"bottom":i=1;break;default:i=t[0]/e.height}switch(t[1]){case"left":s=0;break;case"center":s=.5;break;case"right":s=1;break;default:s=t[1]/e.width}return{x:s,y:i}},createPlaceholder:function(t){var e,i=t.css("position"),s=t.position();return t.css({marginTop:t.css("marginTop"),marginBottom:t.css("marginBottom"),marginLeft:t.css("marginLeft"),marginRight:t.css("marginRight")}).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()),/^(static|relative)/.test(i)&&(i="absolute",e=V("<"+t[0].nodeName+">").insertAfter(t).css({display:/^(inline|ruby)/.test(t.css("display"))?"inline-block":"block",visibility:"hidden",marginTop:t.css("marginTop"),marginBottom:t.css("marginBottom"),marginLeft:t.css("marginLeft"),marginRight:t.css("marginRight"),float:t.css("float")}).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).addClass("ui-effects-placeholder"),t.data(j+"placeholder",e)),t.css({position:i,left:s.left,top:s.top}),e},removePlaceholder:function(t){var e=j+"placeholder",i=t.data(e);i&&(i.remove(),t.removeData(e))},cleanUp:function(t){V.effects.restoreStyle(t),V.effects.removePlaceholder(t)},setTransition:function(s,t,n,o){return o=o||{},V.each(t,function(t,e){var i=s.cssUnit(e);0<i[0]&&(o[e]=i[0]*n+i[1])}),o}}),V.fn.extend({effect:function(){function t(t){var e=V(this),i=V.effects.mode(e,r)||o;e.data(K,!0),l.push(i),o&&("show"===i||i===o&&"hide"===i)&&e.show(),o&&"none"===i||V.effects.saveStyle(e),"function"==typeof t&&t()}var s=X.apply(this,arguments),n=V.effects.effect[s.effect],o=n.mode,e=s.queue,i=e||"fx",a=s.complete,r=s.mode,l=[];return V.fx.off||!n?r?this[r](s.duration,a):this.each(function(){a&&a.call(this)}):!1===e?this.each(t).each(h):this.queue(i,t).queue(i,h);function h(t){var e=V(this);function i(){"function"==typeof a&&a.call(e[0]),"function"==typeof t&&t()}s.mode=l.shift(),!1===V.uiBackCompat||o?"none"===s.mode?(e[r](),i()):n.call(e[0],s,function(){e.removeData(K),V.effects.cleanUp(e),"hide"===s.mode&&e.hide(),i()}):(e.is(":hidden")?"hide"===r:"show"===r)?(e[r](),i()):n.call(e[0],s,i)}},show:(R=V.fn.show,function(t){if($(t))return R.apply(this,arguments);t=X.apply(this,arguments);return t.mode="show",this.effect.call(this,t)}),hide:(L=V.fn.hide,function(t){if($(t))return L.apply(this,arguments);t=X.apply(this,arguments);return t.mode="hide",this.effect.call(this,t)}),toggle:(F=V.fn.toggle,function(t){if($(t)||"boolean"==typeof t)return F.apply(this,arguments);t=X.apply(this,arguments);return t.mode="toggle",this.effect.call(this,t)}),cssUnit:function(t){var i=this.css(t),s=[];return V.each(["em","px","%","pt"],function(t,e){0<i.indexOf(e)&&(s=[parseFloat(i),e])}),s},cssClip:function(t){return t?this.css("clip","rect("+t.top+"px "+t.right+"px "+t.bottom+"px "+t.left+"px)"):G(this.css("clip"),this)},transfer:function(t,e){var i=V(this),s=V(t.to),n="fixed"===s.css("position"),o=V("body"),a=n?o.scrollTop():0,r=n?o.scrollLeft():0,o=s.offset(),o={top:o.top-a,left:o.left-r,height:s.innerHeight(),width:s.innerWidth()},s=i.offset(),l=V("<div class='ui-effects-transfer'></div>");l.appendTo("body").addClass(t.className).css({top:s.top-a,left:s.left-r,height:i.innerHeight(),width:i.innerWidth(),position:n?"fixed":"absolute"}).animate(o,t.duration,t.easing,function(){l.remove(),"function"==typeof e&&e()})}}),V.fx.step.clip=function(t){t.clipInit||(t.start=V(t.elem).cssClip(),"string"==typeof t.end&&(t.end=G(t.end,t.elem)),t.clipInit=!0),V(t.elem).cssClip({top:t.pos*(t.end.top-t.start.top)+t.start.top,right:t.pos*(t.end.right-t.start.right)+t.start.right,bottom:t.pos*(t.end.bottom-t.start.bottom)+t.start.bottom,left:t.pos*(t.end.left-t.start.left)+t.start.left})},Y={},V.each(["Quad","Cubic","Quart","Quint","Expo"],function(e,t){Y[t]=function(t){return Math.pow(t,e+2)}}),V.extend(Y,{Sine:function(t){return 1-Math.cos(t*Math.PI/2)},Circ:function(t){return 1-Math.sqrt(1-t*t)},Elastic:function(t){return 0===t||1===t?t:-Math.pow(2,8*(t-1))*Math.sin((80*(t-1)-7.5)*Math.PI/15)},Back:function(t){return t*t*(3*t-2)},Bounce:function(t){for(var e,i=4;t<((e=Math.pow(2,--i))-1)/11;);return 1/Math.pow(4,3-i)-7.5625*Math.pow((3*e-2)/22-t,2)}}),V.each(Y,function(t,e){V.easing["easeIn"+t]=e,V.easing["easeOut"+t]=function(t){return 1-e(1-t)},V.easing["easeInOut"+t]=function(t){return t<.5?e(2*t)/2:1-e(-2*t+2)/2}});y=V.effects,V.effects.define("blind","hide",function(t,e){var i={up:["bottom","top"],vertical:["bottom","top"],down:["top","bottom"],left:["right","left"],horizontal:["right","left"],right:["left","right"]},s=V(this),n=t.direction||"up",o=s.cssClip(),a={clip:V.extend({},o)},r=V.effects.createPlaceholder(s);a.clip[i[n][0]]=a.clip[i[n][1]],"show"===t.mode&&(s.cssClip(a.clip),r&&r.css(V.effects.clipToBox(a)),a.clip=o),r&&r.animate(V.effects.clipToBox(a),t.duration,t.easing),s.animate(a,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("bounce",function(t,e){var i,s,n=V(this),o=t.mode,a="hide"===o,r="show"===o,l=t.direction||"up",h=t.distance,c=t.times||5,o=2*c+(r||a?1:0),u=t.duration/o,d=t.easing,p="up"===l||"down"===l?"top":"left",f="up"===l||"left"===l,g=0,t=n.queue().length;for(V.effects.createPlaceholder(n),l=n.css(p),h=h||n["top"==p?"outerHeight":"outerWidth"]()/3,r&&((s={opacity:1})[p]=l,n.css("opacity",0).css(p,f?2*-h:2*h).animate(s,u,d)),a&&(h/=Math.pow(2,c-1)),(s={})[p]=l;g<c;g++)(i={})[p]=(f?"-=":"+=")+h,n.animate(i,u,d).animate(s,u,d),h=a?2*h:h/2;a&&((i={opacity:0})[p]=(f?"-=":"+=")+h,n.animate(i,u,d)),n.queue(e),V.effects.unshift(n,t,1+o)}),V.effects.define("clip","hide",function(t,e){var i={},s=V(this),n=t.direction||"vertical",o="both"===n,a=o||"horizontal"===n,o=o||"vertical"===n,n=s.cssClip();i.clip={top:o?(n.bottom-n.top)/2:n.top,right:a?(n.right-n.left)/2:n.right,bottom:o?(n.bottom-n.top)/2:n.bottom,left:a?(n.right-n.left)/2:n.left},V.effects.createPlaceholder(s),"show"===t.mode&&(s.cssClip(i.clip),i.clip=n),s.animate(i,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("drop","hide",function(t,e){var i=V(this),s="show"===t.mode,n=t.direction||"left",o="up"===n||"down"===n?"top":"left",a="up"===n||"left"===n?"-=":"+=",r="+="==a?"-=":"+=",l={opacity:0};V.effects.createPlaceholder(i),n=t.distance||i["top"==o?"outerHeight":"outerWidth"](!0)/2,l[o]=a+n,s&&(i.css(l),l[o]=r+n,l.opacity=1),i.animate(l,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("explode","hide",function(t,e){var i,s,n,o,a,r,l=t.pieces?Math.round(Math.sqrt(t.pieces)):3,h=l,c=V(this),u="show"===t.mode,d=c.show().css("visibility","hidden").offset(),p=Math.ceil(c.outerWidth()/h),f=Math.ceil(c.outerHeight()/l),g=[];function m(){g.push(this),g.length===l*h&&(c.css({visibility:"visible"}),V(g).remove(),e())}for(i=0;i<l;i++)for(o=d.top+i*f,r=i-(l-1)/2,s=0;s<h;s++)n=d.left+s*p,a=s-(h-1)/2,c.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-s*p,top:-i*f}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:p,height:f,left:n+(u?a*p:0),top:o+(u?r*f:0),opacity:u?0:1}).animate({left:n+(u?0:a*p),top:o+(u?0:r*f),opacity:u?1:0},t.duration||500,t.easing,m)}),V.effects.define("fade","toggle",function(t,e){var i="show"===t.mode;V(this).css("opacity",i?0:1).animate({opacity:i?1:0},{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("fold","hide",function(e,t){var i=V(this),s=e.mode,n="show"===s,o="hide"===s,a=e.size||15,r=/([0-9]+)%/.exec(a),l=!!e.horizFirst?["right","bottom"]:["bottom","right"],h=e.duration/2,c=V.effects.createPlaceholder(i),u=i.cssClip(),d={clip:V.extend({},u)},p={clip:V.extend({},u)},f=[u[l[0]],u[l[1]]],s=i.queue().length;r&&(a=parseInt(r[1],10)/100*f[o?0:1]),d.clip[l[0]]=a,p.clip[l[0]]=a,p.clip[l[1]]=0,n&&(i.cssClip(p.clip),c&&c.css(V.effects.clipToBox(p)),p.clip=u),i.queue(function(t){c&&c.animate(V.effects.clipToBox(d),h,e.easing).animate(V.effects.clipToBox(p),h,e.easing),t()}).animate(d,h,e.easing).animate(p,h,e.easing).queue(t),V.effects.unshift(i,s,4)}),V.effects.define("highlight","show",function(t,e){var i=V(this),s={backgroundColor:i.css("backgroundColor")};"hide"===t.mode&&(s.opacity=0),V.effects.saveStyle(i),i.css({backgroundImage:"none",backgroundColor:t.color||"#ffff99"}).animate(s,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),V.effects.define("size",function(s,e){var n,i=V(this),t=["fontSize"],o=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],a=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],r=s.mode,l="effect"!==r,h=s.scale||"both",c=s.origin||["middle","center"],u=i.css("position"),d=i.position(),p=V.effects.scaledDimensions(i),f=s.from||p,g=s.to||V.effects.scaledDimensions(i,0);V.effects.createPlaceholder(i),"show"===r&&(r=f,f=g,g=r),n={from:{y:f.height/p.height,x:f.width/p.width},to:{y:g.height/p.height,x:g.width/p.width}},"box"!==h&&"both"!==h||(n.from.y!==n.to.y&&(f=V.effects.setTransition(i,o,n.from.y,f),g=V.effects.setTransition(i,o,n.to.y,g)),n.from.x!==n.to.x&&(f=V.effects.setTransition(i,a,n.from.x,f),g=V.effects.setTransition(i,a,n.to.x,g))),"content"!==h&&"both"!==h||n.from.y!==n.to.y&&(f=V.effects.setTransition(i,t,n.from.y,f),g=V.effects.setTransition(i,t,n.to.y,g)),c&&(c=V.effects.getBaseline(c,p),f.top=(p.outerHeight-f.outerHeight)*c.y+d.top,f.left=(p.outerWidth-f.outerWidth)*c.x+d.left,g.top=(p.outerHeight-g.outerHeight)*c.y+d.top,g.left=(p.outerWidth-g.outerWidth)*c.x+d.left),delete f.outerHeight,delete f.outerWidth,i.css(f),"content"!==h&&"both"!==h||(o=o.concat(["marginTop","marginBottom"]).concat(t),a=a.concat(["marginLeft","marginRight"]),i.find("*[width]").each(function(){var t=V(this),e=V.effects.scaledDimensions(t),i={height:e.height*n.from.y,width:e.width*n.from.x,outerHeight:e.outerHeight*n.from.y,outerWidth:e.outerWidth*n.from.x},e={height:e.height*n.to.y,width:e.width*n.to.x,outerHeight:e.height*n.to.y,outerWidth:e.width*n.to.x};n.from.y!==n.to.y&&(i=V.effects.setTransition(t,o,n.from.y,i),e=V.effects.setTransition(t,o,n.to.y,e)),n.from.x!==n.to.x&&(i=V.effects.setTransition(t,a,n.from.x,i),e=V.effects.setTransition(t,a,n.to.x,e)),l&&V.effects.saveStyle(t),t.css(i),t.animate(e,s.duration,s.easing,function(){l&&V.effects.restoreStyle(t)})})),i.animate(g,{queue:!1,duration:s.duration,easing:s.easing,complete:function(){var t=i.offset();0===g.opacity&&i.css("opacity",f.opacity),l||(i.css("position","static"===u?"relative":u).offset(t),V.effects.saveStyle(i)),e()}})}),V.effects.define("scale",function(t,e){var i=V(this),s=t.mode,s=parseInt(t.percent,10)||(0===parseInt(t.percent,10)||"effect"!==s?0:100),s=V.extend(!0,{from:V.effects.scaledDimensions(i),to:V.effects.scaledDimensions(i,s,t.direction||"both"),origin:t.origin||["middle","center"]},t);t.fade&&(s.from.opacity=1,s.to.opacity=0),V.effects.effect.size.call(this,s,e)}),V.effects.define("puff","hide",function(t,e){t=V.extend(!0,{},t,{fade:!0,percent:parseInt(t.percent,10)||150});V.effects.effect.scale.call(this,t,e)}),V.effects.define("pulsate","show",function(t,e){var i=V(this),s=t.mode,n="show"===s,o=2*(t.times||5)+(n||"hide"===s?1:0),a=t.duration/o,r=0,l=1,s=i.queue().length;for(!n&&i.is(":visible")||(i.css("opacity",0).show(),r=1);l<o;l++)i.animate({opacity:r},a,t.easing),r=1-r;i.animate({opacity:r},a,t.easing),i.queue(e),V.effects.unshift(i,s,1+o)}),V.effects.define("shake",function(t,e){var i=1,s=V(this),n=t.direction||"left",o=t.distance||20,a=t.times||3,r=2*a+1,l=Math.round(t.duration/r),h="up"===n||"down"===n?"top":"left",c="up"===n||"left"===n,u={},d={},p={},n=s.queue().length;for(V.effects.createPlaceholder(s),u[h]=(c?"-=":"+=")+o,d[h]=(c?"+=":"-=")+2*o,p[h]=(c?"-=":"+=")+2*o,s.animate(u,l,t.easing);i<a;i++)s.animate(d,l,t.easing).animate(p,l,t.easing);s.animate(d,l,t.easing).animate(u,l/2,t.easing).queue(e),V.effects.unshift(s,n,1+r)}),V.effects.define("slide","show",function(t,e){var i,s,n=V(this),o={up:["bottom","top"],down:["top","bottom"],left:["right","left"],right:["left","right"]},a=t.mode,r=t.direction||"left",l="up"===r||"down"===r?"top":"left",h="up"===r||"left"===r,c=t.distance||n["top"==l?"outerHeight":"outerWidth"](!0),u={};V.effects.createPlaceholder(n),i=n.cssClip(),s=n.position()[l],u[l]=(h?-1:1)*c+s,u.clip=n.cssClip(),u.clip[o[r][1]]=u.clip[o[r][0]],"show"===a&&(n.cssClip(u.clip),n.css(l,u[l]),u.clip=i,u[l]=s),n.animate(u,{queue:!1,duration:t.duration,easing:t.easing,complete:e})}),y=!1!==V.uiBackCompat?V.effects.define("transfer",function(t,e){V(this).transfer(t,e)}):y;V.ui.focusable=function(t,e){var i,s,n,o,a=t.nodeName.toLowerCase();return"area"===a?(s=(i=t.parentNode).name,!(!t.href||!s||"map"!==i.nodeName.toLowerCase())&&(0<(s=V("img[usemap='#"+s+"']")).length&&s.is(":visible"))):(/^(input|select|textarea|button|object)$/.test(a)?(n=!t.disabled)&&(o=V(t).closest("fieldset")[0])&&(n=!o.disabled):n="a"===a&&t.href||e,n&&V(t).is(":visible")&&function(t){var e=t.css("visibility");for(;"inherit"===e;)t=t.parent(),e=t.css("visibility");return"visible"===e}(V(t)))},V.extend(V.expr.pseudos,{focusable:function(t){return V.ui.focusable(t,null!=V.attr(t,"tabindex"))}});var Q,J;V.ui.focusable,V.fn._form=function(){return"string"==typeof this[0].form?this.closest("form"):V(this[0].form)},V.ui.formResetMixin={_formResetHandler:function(){var e=V(this);setTimeout(function(){var t=e.data("ui-form-reset-instances");V.each(t,function(){this.refresh()})})},_bindFormResetHandler:function(){var t;this.form=this.element._form(),this.form.length&&((t=this.form.data("ui-form-reset-instances")||[]).length||this.form.on("reset.ui-form-reset",this._formResetHandler),t.push(this),this.form.data("ui-form-reset-instances",t))},_unbindFormResetHandler:function(){var t;this.form.length&&((t=this.form.data("ui-form-reset-instances")).splice(V.inArray(this,t),1),t.length?this.form.data("ui-form-reset-instances",t):this.form.removeData("ui-form-reset-instances").off("reset.ui-form-reset"))}};V.expr.pseudos||(V.expr.pseudos=V.expr[":"]),V.uniqueSort||(V.uniqueSort=V.unique),V.escapeSelector||(Q=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\x80-\uFFFF\w-]/g,J=function(t,e){return e?"\0"===t?"�":t.slice(0,-1)+"\\"+t.charCodeAt(t.length-1).toString(16)+" ":"\\"+t},V.escapeSelector=function(t){return(t+"").replace(Q,J)}),V.fn.even&&V.fn.odd||V.fn.extend({even:function(){return this.filter(function(t){return t%2==0})},odd:function(){return this.filter(function(t){return t%2==1})}});var Z;V.ui.keyCode={BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38},V.fn.labels=function(){var t,e,i;return this.length?this[0].labels&&this[0].labels.length?this.pushStack(this[0].labels):(e=this.eq(0).parents("label"),(t=this.attr("id"))&&(i=(i=this.eq(0).parents().last()).add((i.length?i:this).siblings()),t="label[for='"+V.escapeSelector(t)+"']",e=e.add(i.find(t).addBack(t))),this.pushStack(e)):this.pushStack([])},V.fn.scrollParent=function(t){var e=this.css("position"),i="absolute"===e,s=t?/(auto|scroll|hidden)/:/(auto|scroll)/,t=this.parents().filter(function(){var t=V(this);return(!i||"static"!==t.css("position"))&&s.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==e&&t.length?t:V(this[0].ownerDocument||document)},V.extend(V.expr.pseudos,{tabbable:function(t){var e=V.attr(t,"tabindex"),i=null!=e;return(!i||0<=e)&&V.ui.focusable(t,i)}}),V.fn.extend({uniqueId:(Z=0,function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++Z)})}),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&V(this).removeAttr("id")})}}),V.widget("ui.accordion",{version:"1.13.2",options:{active:0,animate:{},classes:{"ui-accordion-header":"ui-corner-top","ui-accordion-header-collapsed":"ui-corner-all","ui-accordion-content":"ui-corner-bottom"},collapsible:!1,event:"click",header:function(t){return t.find("> li > :first-child").add(t.find("> :not(li)").even())},heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=V(),this._addClass("ui-accordion","ui-widget ui-helper-reset"),this.element.attr("role","tablist"),t.collapsible||!1!==t.active&&null!=t.active||(t.active=0),this._processPanels(),t.active<0&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():V()}},_createIcons:function(){var t,e=this.options.icons;e&&(t=V("<span>"),this._addClass(t,"ui-accordion-header-icon","ui-icon "+e.header),t.prependTo(this.headers),t=this.active.children(".ui-accordion-header-icon"),this._removeClass(t,e.header)._addClass(t,null,e.activeHeader)._addClass(this.headers,"ui-accordion-icons"))},_destroyIcons:function(){this._removeClass(this.headers,"ui-accordion-icons"),this.headers.children(".ui-accordion-header-icon").remove()},_destroy:function(){var t;this.element.removeAttr("role"),this.headers.removeAttr("role aria-expanded aria-selected aria-controls tabIndex").removeUniqueId(),this._destroyIcons(),t=this.headers.next().css("display","").removeAttr("role aria-hidden aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&t.css("height","")},_setOption:function(t,e){"active"!==t?("event"===t&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(e)),this._super(t,e),"collapsible"!==t||e||!1!==this.options.active||this._activate(0),"icons"===t&&(this._destroyIcons(),e&&this._createIcons())):this._activate(e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t),this._toggleClass(this.headers.add(this.headers.next()),null,"ui-state-disabled",!!t)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var e=V.ui.keyCode,i=this.headers.length,s=this.headers.index(t.target),n=!1;switch(t.keyCode){case e.RIGHT:case e.DOWN:n=this.headers[(s+1)%i];break;case e.LEFT:case e.UP:n=this.headers[(s-1+i)%i];break;case e.SPACE:case e.ENTER:this._eventHandler(t);break;case e.HOME:n=this.headers[0];break;case e.END:n=this.headers[i-1]}n&&(V(t.target).attr("tabIndex",-1),V(n).attr("tabIndex",0),V(n).trigger("focus"),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===V.ui.keyCode.UP&&t.ctrlKey&&V(t.currentTarget).prev().trigger("focus")},refresh:function(){var t=this.options;this._processPanels(),!1===t.active&&!0===t.collapsible||!this.headers.length?(t.active=!1,this.active=V()):!1===t.active?this._activate(0):this.active.length&&!V.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=V()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var t=this.headers,e=this.panels;"function"==typeof this.options.header?this.headers=this.options.header(this.element):this.headers=this.element.find(this.options.header),this._addClass(this.headers,"ui-accordion-header ui-accordion-header-collapsed","ui-state-default"),this.panels=this.headers.next().filter(":not(.ui-accordion-content-active)").hide(),this._addClass(this.panels,"ui-accordion-content","ui-helper-reset ui-widget-content"),e&&(this._off(t.not(this.headers)),this._off(e.not(this.panels)))},_refresh:function(){var i,t=this.options,e=t.heightStyle,s=this.element.parent();this.active=this._findActive(t.active),this._addClass(this.active,"ui-accordion-header-active","ui-state-active")._removeClass(this.active,"ui-accordion-header-collapsed"),this._addClass(this.active.next(),"ui-accordion-content-active"),this.active.next().show(),this.headers.attr("role","tab").each(function(){var t=V(this),e=t.uniqueId().attr("id"),i=t.next(),s=i.uniqueId().attr("id");t.attr("aria-controls",s),i.attr("aria-labelledby",e)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(t.event),"fill"===e?(i=s.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.headers.each(function(){i-=V(this).outerHeight(!0)}),this.headers.next().each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===e&&(i=0,this.headers.next().each(function(){var t=V(this).is(":visible");t||V(this).show(),i=Math.max(i,V(this).css("height","").height()),t||V(this).hide()}).height(i))},_activate:function(t){t=this._findActive(t)[0];t!==this.active[0]&&(t=t||this.active[0],this._eventHandler({target:t,currentTarget:t,preventDefault:V.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):V()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&V.each(t.split(" "),function(t,e){i[e]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var e=this.options,i=this.active,s=V(t.currentTarget),n=s[0]===i[0],o=n&&e.collapsible,a=o?V():s.next(),r=i.next(),a={oldHeader:i,oldPanel:r,newHeader:o?V():s,newPanel:a};t.preventDefault(),n&&!e.collapsible||!1===this._trigger("beforeActivate",t,a)||(e.active=!o&&this.headers.index(s),this.active=n?V():s,this._toggle(a),this._removeClass(i,"ui-accordion-header-active","ui-state-active"),e.icons&&(i=i.children(".ui-accordion-header-icon"),this._removeClass(i,null,e.icons.activeHeader)._addClass(i,null,e.icons.header)),n||(this._removeClass(s,"ui-accordion-header-collapsed")._addClass(s,"ui-accordion-header-active","ui-state-active"),e.icons&&(n=s.children(".ui-accordion-header-icon"),this._removeClass(n,null,e.icons.header)._addClass(n,null,e.icons.activeHeader)),this._addClass(s.next(),"ui-accordion-content-active")))},_toggle:function(t){var e=t.newPanel,i=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=e,this.prevHide=i,this.options.animate?this._animate(e,i,t):(i.hide(),e.show(),this._toggleComplete(t)),i.attr({"aria-hidden":"true"}),i.prev().attr({"aria-selected":"false","aria-expanded":"false"}),e.length&&i.length?i.prev().attr({tabIndex:-1,"aria-expanded":"false"}):e.length&&this.headers.filter(function(){return 0===parseInt(V(this).attr("tabIndex"),10)}).attr("tabIndex",-1),e.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(t,i,e){var s,n,o,a=this,r=0,l=t.css("box-sizing"),h=t.length&&(!i.length||t.index()<i.index()),c=this.options.animate||{},u=h&&c.down||c,h=function(){a._toggleComplete(e)};return n=(n="string"==typeof u?u:n)||u.easing||c.easing,o=(o="number"==typeof u?u:o)||u.duration||c.duration,i.length?t.length?(s=t.show().outerHeight(),i.animate(this.hideProps,{duration:o,easing:n,step:function(t,e){e.now=Math.round(t)}}),void t.hide().animate(this.showProps,{duration:o,easing:n,complete:h,step:function(t,e){e.now=Math.round(t),"height"!==e.prop?"content-box"===l&&(r+=e.now):"content"!==a.options.heightStyle&&(e.now=Math.round(s-i.outerHeight()-r),r=0)}})):i.animate(this.hideProps,o,n,h):t.animate(this.showProps,o,n,h)},_toggleComplete:function(t){var e=t.oldPanel,i=e.prev();this._removeClass(e,"ui-accordion-content-active"),this._removeClass(i,"ui-accordion-header-active")._addClass(i,"ui-accordion-header-collapsed"),e.length&&(e.parent()[0].className=e.parent()[0].className),this._trigger("activate",null,t)}}),V.ui.safeActiveElement=function(e){var i;try{i=e.activeElement}catch(t){i=e.body}return i=!(i=i||e.body).nodeName?e.body:i},V.widget("ui.menu",{version:"1.13.2",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-caret-1-e"},items:"> *",menus:"ul",position:{my:"left top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.lastMousePosition={x:null,y:null},this.element.uniqueId().attr({role:this.options.role,tabIndex:0}),this._addClass("ui-menu","ui-widget ui-widget-content"),this._on({"mousedown .ui-menu-item":function(t){t.preventDefault(),this._activateItem(t)},"click .ui-menu-item":function(t){var e=V(t.target),i=V(V.ui.safeActiveElement(this.document[0]));!this.mouseHandled&&e.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),e.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&i.closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":"_activateItem","mousemove .ui-menu-item":"_activateItem",mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(t,e){var i=this.active||this._menuItems().first();e||this.focus(t,i)},blur:function(t){this._delay(function(){V.contains(this.element[0],V.ui.safeActiveElement(this.document[0]))||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(t){this._closeOnDocumentClick(t)&&this.collapseAll(t,!0),this.mouseHandled=!1}})},_activateItem:function(t){var e,i;this.previousFilter||t.clientX===this.lastMousePosition.x&&t.clientY===this.lastMousePosition.y||(this.lastMousePosition={x:t.clientX,y:t.clientY},e=V(t.target).closest(".ui-menu-item"),i=V(t.currentTarget),e[0]===i[0]&&(i.is(".ui-state-active")||(this._removeClass(i.siblings().children(".ui-state-active"),null,"ui-state-active"),this.focus(t,i))))},_destroy:function(){var t=this.element.find(".ui-menu-item").removeAttr("role aria-disabled").children(".ui-menu-item-wrapper").removeUniqueId().removeAttr("tabIndex role aria-haspopup");this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeAttr("role aria-labelledby aria-expanded aria-hidden aria-disabled tabIndex").removeUniqueId().show(),t.children().each(function(){var t=V(this);t.data("ui-menu-submenu-caret")&&t.remove()})},_keydown:function(t){var e,i,s,n=!0;switch(t.keyCode){case V.ui.keyCode.PAGE_UP:this.previousPage(t);break;case V.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case V.ui.keyCode.HOME:this._move("first","first",t);break;case V.ui.keyCode.END:this._move("last","last",t);break;case V.ui.keyCode.UP:this.previous(t);break;case V.ui.keyCode.DOWN:this.next(t);break;case V.ui.keyCode.LEFT:this.collapse(t);break;case V.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case V.ui.keyCode.ENTER:case V.ui.keyCode.SPACE:this._activate(t);break;case V.ui.keyCode.ESCAPE:this.collapse(t);break;default:e=this.previousFilter||"",s=n=!1,i=96<=t.keyCode&&t.keyCode<=105?(t.keyCode-96).toString():String.fromCharCode(t.keyCode),clearTimeout(this.filterTimer),i===e?s=!0:i=e+i,e=this._filterMenuItems(i),(e=s&&-1!==e.index(this.active.next())?this.active.nextAll(".ui-menu-item"):e).length||(i=String.fromCharCode(t.keyCode),e=this._filterMenuItems(i)),e.length?(this.focus(t,e),this.previousFilter=i,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}n&&t.preventDefault()},_activate:function(t){this.active&&!this.active.is(".ui-state-disabled")&&(this.active.children("[aria-haspopup='true']").length?this.expand(t):this.select(t))},refresh:function(){var t,e,s=this,n=this.options.icons.submenu,i=this.element.find(this.options.menus);this._toggleClass("ui-menu-icons",null,!!this.element.find(".ui-icon").length),e=i.filter(":not(.ui-menu)").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=V(this),e=t.prev(),i=V("<span>").data("ui-menu-submenu-caret",!0);s._addClass(i,"ui-menu-icon","ui-icon "+n),e.attr("aria-haspopup","true").prepend(i),t.attr("aria-labelledby",e.attr("id"))}),this._addClass(e,"ui-menu","ui-widget ui-widget-content ui-front"),(t=i.add(this.element).find(this.options.items)).not(".ui-menu-item").each(function(){var t=V(this);s._isDivider(t)&&s._addClass(t,"ui-menu-divider","ui-widget-content")}),i=(e=t.not(".ui-menu-item, .ui-menu-divider")).children().not(".ui-menu").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),this._addClass(e,"ui-menu-item")._addClass(i,"ui-menu-item-wrapper"),t.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!V.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(t,e){var i;"icons"===t&&(i=this.element.find(".ui-menu-icon"),this._removeClass(i,null,this.options.icons.submenu)._addClass(i,null,e.submenu)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",String(t)),this._toggleClass(null,"ui-state-disabled",!!t)},focus:function(t,e){var i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s<e+t&&this.activeMenu.scrollTop(i+e-s+t))},blur:function(t,e){e||clearTimeout(this.timer),this.active&&(this._removeClass(this.active.children(".ui-menu-item-wrapper"),null,"ui-state-active"),this._trigger("blur",t,{item:this.active}),this.active=null)},_startOpening:function(t){clearTimeout(this.timer),"true"===t.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(t)},this.delay))},_open:function(t){var e=V.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(e)},collapseAll:function(e,i){clearTimeout(this.timer),this.timer=this._delay(function(){var t=i?this.element:V(e&&e.target).closest(this.element.find(".ui-menu"));t.length||(t=this.element),this._close(t),this.blur(e),this._removeClass(t.find(".ui-state-active"),null,"ui-state-active"),this.activeMenu=t},i?0:this.delay)},_close:function(t){(t=t||(this.active?this.active.parent():this.element)).find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false")},_closeOnDocumentClick:function(t){return!V(t.target).closest(".ui-menu").length},_isDivider:function(t){return!/[^\-\u2014\u2013\s]/.test(t.text())},collapse:function(t){var e=this.active&&this.active.parent().closest(".ui-menu-item",this.element);e&&e.length&&(this._close(),this.focus(t,e))},expand:function(t){var e=this.active&&this._menuItems(this.active.children(".ui-menu")).first();e&&e.length&&(this._open(e.parent()),this._delay(function(){this.focus(t,e)}))},next:function(t){this._move("next","first",t)},previous:function(t){this._move("prev","last",t)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_menuItems:function(t){return(t||this.element).find(this.options.items).filter(".ui-menu-item")},_move:function(t,e,i){var s;(s=this.active?"first"===t||"last"===t?this.active["first"===t?"prevAll":"nextAll"](".ui-menu-item").last():this.active[t+"All"](".ui-menu-item").first():s)&&s.length&&this.active||(s=this._menuItems(this.activeMenu)[e]()),this.focus(i,s)},nextPage:function(t){var e,i,s;this.active?this.isLastItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.nextAll(".ui-menu-item").each(function(){return(e=V(this)).offset().top-i-s<0}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu)[this.active?"last":"first"]())):this.next(t)},previousPage:function(t){var e,i,s;this.active?this.isFirstItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.prevAll(".ui-menu-item").each(function(){return 0<(e=V(this)).offset().top-i+s}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu).first())):this.next(t)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||V(t.target).closest(".ui-menu-item");var e={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,e)},_filterMenuItems:function(t){var t=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),e=new RegExp("^"+t,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return e.test(String.prototype.trim.call(V(this).children(".ui-menu-item-wrapper").text()))})}});V.widget("ui.autocomplete",{version:"1.13.2",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:i=!0,this._move("previousPage",t);break;case e.PAGE_DOWN:i=!0,this._move("nextPage",t);break;case e.UP:i=!0,this._keyEvent("previous",t);break;case e.DOWN:i=!0,this._keyEvent("next",t);break;case e.ENTER:this.menu.active&&(i=!0,t.preventDefault(),this.menu.select(t));break;case e.TAB:this.menu.active&&this.menu.select(t);break;case e.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(t),t.preventDefault());break;default:s=!0,this._searchTimeout(t)}}},keypress:function(t){if(i)return i=!1,void(this.isMultiLine&&!this.menu.element.is(":visible")||t.preventDefault());if(!s){var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:this._move("previousPage",t);break;case e.PAGE_DOWN:this._move("nextPage",t);break;case e.UP:this._keyEvent("previous",t);break;case e.DOWN:this._keyEvent("next",t)}}},input:function(t){if(n)return n=!1,void t.preventDefault();this._searchTimeout(t)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(t){clearTimeout(this.searching),this.close(t),this._change(t)}}),this._initSource(),this.menu=V("<ul>").appendTo(this._appendTo()).menu({role:null}).hide().attr({unselectable:"on"}).menu("instance"),this._addClass(this.menu.element,"ui-autocomplete","ui-front"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault()},menufocus:function(t,e){var i,s;if(this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type)))return this.menu.blur(),void this.document.one("mousemove",function(){V(t.target).trigger(t.originalEvent)});s=e.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:s})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(s.value),(i=e.item.attr("aria-label")||s.value)&&String.prototype.trim.call(i).length&&(clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(i))},100))},menuselect:function(t,e){var i=e.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==V.ui.safeActiveElement(this.document[0])&&(this.element.trigger("focus"),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",t,{item:i})&&this._value(i.value),this.term=this._value(),this.close(t),this.selectedItem=i}}),this.liveRegion=V("<div>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(t,e){this._super(t,e),"source"===t&&this._initSource(),"appendTo"===t&&this.menu.element.appendTo(this._appendTo()),"disabled"===t&&e&&this.xhr&&this.xhr.abort()},_isEventTargetInWidget:function(t){var e=this.menu.element[0];return t.target===this.element[0]||t.target===e||V.contains(e,t.target)},_closeOnClickOutside:function(t){this._isEventTargetInWidget(t)||this.close()},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_initSource:function(){var i,s,n=this;Array.isArray(this.options.source)?(i=this.options.source,this.source=function(t,e){e(V.ui.autocomplete.filter(i,t.term))}):"string"==typeof this.options.source?(s=this.options.source,this.source=function(t,e){n.xhr&&n.xhr.abort(),n.xhr=V.ajax({url:s,data:t,dataType:"json",success:function(t){e(t)},error:function(){e([])}})}):this.source=this.options.source},_searchTimeout:function(s){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),e=this.menu.element.is(":visible"),i=s.altKey||s.ctrlKey||s.metaKey||s.shiftKey;t&&(e||i)||(this.selectedItem=null,this.search(null,s))},this.options.delay)},search:function(t,e){return t=null!=t?t:this._value(),this.term=this._value(),t.length<this.options.minLength?this.close(e):!1!==this._trigger("search",e)?this._search(t):void 0},_search:function(t){this.pending++,this._addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:t},this._response())},_response:function(){var e=++this.requestIndex;return function(t){e===this.requestIndex&&this.__response(t),this.pending--,this.pending||this._removeClass("ui-autocomplete-loading")}.bind(this)},__response:function(t){t=t&&this._normalize(t),this._trigger("response",null,{content:t}),!this.options.disabled&&t&&t.length&&!this.cancelSearch?(this._suggest(t),this._trigger("open")):this._close()},close:function(t){this.cancelSearch=!0,this._close(t)},_close:function(t){this._off(this.document,"mousedown"),this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",t))},_change:function(t){this.previous!==this._value()&&this._trigger("change",t,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:V.map(t,function(t){return"string"==typeof t?{label:t,value:t}:V.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var e=this.menu.element.empty();this._renderMenu(e,t),this.isNewMenu=!0,this.menu.refresh(),e.show(),this._resizeMenu(),e.position(V.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next(),this._on(this.document,{mousedown:"_closeOnClickOutside"})},_resizeMenu:function(){var t=this.menu.element;t.outerWidth(Math.max(t.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(i,t){var s=this;V.each(t,function(t,e){s._renderItemData(i,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-autocomplete-item",e)},_renderItem:function(t,e){return V("<li>").append(V("<div>").text(e.label)).appendTo(t)},_move:function(t,e){if(this.menu.element.is(":visible"))return this.menu.isFirstItem()&&/^previous/.test(t)||this.menu.isLastItem()&&/^next/.test(t)?(this.isMultiLine||this._value(this.term),void this.menu.blur()):void this.menu[t](e);this.search(null,e)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(t,e){this.isMultiLine&&!this.menu.element.is(":visible")||(this._move(t,e),e.preventDefault())},_isContentEditable:function(t){if(!t.length)return!1;var e=t.prop("contentEditable");return"inherit"===e?this._isContentEditable(t.parent()):"true"===e}}),V.extend(V.ui.autocomplete,{escapeRegex:function(t){return t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,e){var i=new RegExp(V.ui.autocomplete.escapeRegex(e),"i");return V.grep(t,function(t){return i.test(t.label||t.value||t)})}}),V.widget("ui.autocomplete",V.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(t){return t+(1<t?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var e;this._superApply(arguments),this.options.disabled||this.cancelSearch||(e=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(e))},100))}});V.ui.autocomplete;var tt=/ui-corner-([a-z]){2,6}/g;V.widget("ui.controlgroup",{version:"1.13.2",defaultElement:"<div>",options:{direction:"horizontal",disabled:null,onlyVisible:!0,items:{button:"input[type=button], input[type=submit], input[type=reset], button, a",controlgroupLabel:".ui-controlgroup-label",checkboxradio:"input[type='checkbox'], input[type='radio']",selectmenu:"select",spinner:".ui-spinner-input"}},_create:function(){this._enhance()},_enhance:function(){this.element.attr("role","toolbar"),this.refresh()},_destroy:function(){this._callChildMethod("destroy"),this.childWidgets.removeData("ui-controlgroup-data"),this.element.removeAttr("role"),this.options.items.controlgroupLabel&&this.element.find(this.options.items.controlgroupLabel).find(".ui-controlgroup-label-contents").contents().unwrap()},_initWidgets:function(){var o=this,a=[];V.each(this.options.items,function(s,t){var e,n={};if(t)return"controlgroupLabel"===s?((e=o.element.find(t)).each(function(){var t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("<span class='ui-controlgroup-label-contents'></span>")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.2",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio widget"),this.originalLabel="",(t=this.label.contents().not(this.element[0])).length&&(this.originalLabel+=t.clone().wrapAll("<div></div>").parent().html()),this.originalLabel&&(e.label=this.originalLabel),null!=(t=this.element[0].disabled)&&(e.disabled=t),e},_create:function(){var t=this.element[0].checked;this._bindFormResetHandler(),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled),this._setOption("disabled",this.options.disabled),this._addClass("ui-checkboxradio","ui-helper-hidden-accessible"),this._addClass(this.label,"ui-checkboxradio-label","ui-button ui-widget"),"radio"===this.type&&this._addClass(this.label,"ui-checkboxradio-radio-label"),this.options.label&&this.options.label!==this.originalLabel?this._updateLabel():this.originalLabel&&(this.options.label=this.originalLabel),this._enhance(),t&&this._addClass(this.label,"ui-checkboxradio-checked","ui-state-active"),this._on({change:"_toggleClasses",focus:function(){this._addClass(this.label,null,"ui-state-focus ui-visual-focus")},blur:function(){this._removeClass(this.label,null,"ui-state-focus ui-visual-focus")}})},_readType:function(){var t=this.element[0].nodeName.toLowerCase();this.type=this.element[0].type,"input"===t&&/radio|checkbox/.test(this.type)||V.error("Can't create checkboxradio on element.nodeName="+t+" and element.type="+this.type)},_enhance:function(){this._updateIcon(this.element[0].checked)},widget:function(){return this.label},_getRadioGroup:function(){var t=this.element[0].name,e="input[name='"+V.escapeSelector(t)+"']";return t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background ";this.options.icon?(this.icon||(this.icon=V("<span>"),this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-checkboxradio-icon-space")),"checkbox"===this.type?(e+=t?"ui-icon-check ui-state-checked":"ui-icon-blank",this._removeClass(this.icon,null,t?"ui-icon-blank":"ui-icon-check")):e+="ui-icon-blank",this._addClass(this.icon,"ui-checkboxradio-icon",e),t||this._removeClass(this.icon,null,"ui-icon-check ui-state-checked"),this.icon.prependTo(this.label).after(this.iconSpace)):void 0!==this.icon&&(this.icon.remove(),this.iconSpace.remove(),delete this.icon)},_updateLabel:function(){var t=this.label.contents().not(this.element[0]);this.icon&&(t=t.not(this.icon[0])),(t=this.iconSpace?t.not(this.iconSpace[0]):t).remove(),this.label.append(this.options.label)},refresh:function(){var t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.2",defaultElement:"<button>",options:{classes:{"ui-button":"ui-corner-all"},disabled:null,icon:null,iconPosition:"beginning",label:null,showLabel:!0},_getCreateOptions:function(){var t,e=this._super()||{};return this.isInput=this.element.is("input"),null!=(t=this.element[0].disabled)&&(e.disabled=t),this.originalLabel=this.isInput?this.element.val():this.element.html(),this.originalLabel&&(e.label=this.originalLabel),e},_create:function(){!this.option.showLabel&!this.options.icon&&(this.options.showLabel=!0),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled||!1),this.hasTitle=!!this.element.attr("title"),this.options.label&&this.options.label!==this.originalLabel&&(this.isInput?this.element.val(this.options.label):this.element.html(this.options.label)),this._addClass("ui-button","ui-widget"),this._setOption("disabled",this.options.disabled),this._enhance(),this.element.is("a")&&this._on({keyup:function(t){t.keyCode===V.ui.keyCode.SPACE&&(t.preventDefault(),this.element[0].click?this.element[0].click():this.element.trigger("click"))}})},_enhance:function(){this.element.is("button")||this.element.attr("role","button"),this.options.icon&&(this._updateIcon("icon",this.options.icon),this._updateTooltip())},_updateTooltip:function(){this.title=this.element.attr("title"),this.options.showLabel||this.title||this.element.attr("title",this.options.label)},_updateIcon:function(t,e){var i="iconPosition"!==t,s=i?this.options.iconPosition:e,t="top"===s||"bottom"===s;this.icon?i&&this._removeClass(this.icon,null,this.options.icon):(this.icon=V("<span>"),this._addClass(this.icon,"ui-button-icon","ui-icon"),this.options.showLabel||this._addClass("ui-button-icon-only")),i&&this._addClass(this.icon,null,e),this._attachIcon(s),t?(this._addClass(this.icon,null,"ui-widget-icon-block"),this.iconSpace&&this.iconSpace.remove()):(this.iconSpace||(this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-button-icon-space")),this._removeClass(this.icon,null,"ui-wiget-icon-block"),this._attachIconSpace(s))},_destroy:function(){this.element.removeAttr("role"),this.icon&&this.icon.remove(),this.iconSpace&&this.iconSpace.remove(),this.hasTitle||this.element.removeAttr("title")},_attachIconSpace:function(t){this.icon[/^(?:end|bottom)/.test(t)?"before":"after"](this.iconSpace)},_attachIcon:function(t){this.element[/^(?:end|bottom)/.test(t)?"append":"prepend"](this.icon)},_setOptions:function(t){var e=(void 0===t.showLabel?this.options:t).showLabel,i=(void 0===t.icon?this.options:t).icon;e||i||(t.showLabel=!0),this._super(t)},_setOption:function(t,e){"icon"===t&&(e?this._updateIcon(t,e):this.icon&&(this.icon.remove(),this.iconSpace&&this.iconSpace.remove())),"iconPosition"===t&&this._updateIcon(t,e),"showLabel"===t&&(this._toggleClass("ui-button-icon-only",null,!e),this._updateTooltip()),"label"===t&&(this.isInput?this.element.val(e):(this.element.html(e),this.icon&&(this._attachIcon(this.options.iconPosition),this._attachIconSpace(this.options.iconPosition)))),this._super(t,e),"disabled"===t&&(this._toggleClass(null,"ui-state-disabled",e),(this.element[0].disabled=e)&&this.element.trigger("blur"))},refresh:function(){var t=this.element.is("input, button")?this.element[0].disabled:this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOptions({disabled:t}),this._updateTooltip()}}),!1!==V.uiBackCompat&&(V.widget("ui.button",V.ui.button,{options:{text:!0,icons:{primary:null,secondary:null}},_create:function(){this.options.showLabel&&!this.options.text&&(this.options.showLabel=this.options.text),!this.options.showLabel&&this.options.text&&(this.options.text=this.options.showLabel),this.options.icon||!this.options.icons.primary&&!this.options.icons.secondary?this.options.icon&&(this.options.icons.primary=this.options.icon):this.options.icons.primary?this.options.icon=this.options.icons.primary:(this.options.icon=this.options.icons.secondary,this.options.iconPosition="end"),this._super()},_setOption:function(t,e){"text"!==t?("showLabel"===t&&(this.options.text=e),"icon"===t&&(this.options.icons.primary=e),"icons"===t&&(e.primary?(this._super("icon",e.primary),this._super("iconPosition","beginning")):e.secondary&&(this._super("icon",e.secondary),this._super("iconPosition","end"))),this._superApply(arguments)):this._super("showLabel",e)}}),V.fn.button=(et=V.fn.button,function(i){var t="string"==typeof i,s=Array.prototype.slice.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t=V(this).attr("type"),e=V.data(this,"ui-"+("checkbox"!==t&&"radio"!==t?"button":"checkboxradio"));return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?V.error("no such method '"+i+"' for button widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:V.error("cannot call methods on button prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=V.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=V(this).attr("type"),e="checkbox"!==t&&"radio"!==t?"button":"checkboxradio",t=V.data(this,"ui-"+e);t?(t.option(i||{}),t._init&&t._init()):"button"!=e?V(this).checkboxradio(V.extend({icon:!1},i)):et.call(V(this),i)})),n}),V.fn.buttonset=function(){return V.ui.controlgroup||V.error("Controlgroup widget missing"),"option"===arguments[0]&&"items"===arguments[1]&&arguments[2]?this.controlgroup.apply(this,[arguments[0],"items.button",arguments[2]]):"option"===arguments[0]&&"items"===arguments[1]?this.controlgroup.apply(this,[arguments[0],"items.button"]):("object"==typeof arguments[0]&&arguments[0].items&&(arguments[0].items={button:arguments[0].items}),this.controlgroup.apply(this,arguments))});var it;V.ui.button;function st(){this._curInst=null,this._keyEvent=!1,this._disabledInputs=[],this._datepickerShowing=!1,this._inDialog=!1,this._mainDivId="ui-datepicker-div",this._inlineClass="ui-datepicker-inline",this._appendClass="ui-datepicker-append",this._triggerClass="ui-datepicker-trigger",this._dialogClass="ui-datepicker-dialog",this._disableClass="ui-datepicker-disabled",this._unselectableClass="ui-datepicker-unselectable",this._currentClass="ui-datepicker-current-day",this._dayOverClass="ui-datepicker-days-cell-over",this.regional=[],this.regional[""]={closeText:"Done",prevText:"Prev",nextText:"Next",currentText:"Today",monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],weekHeader:"Wk",dateFormat:"mm/dd/yy",firstDay:0,isRTL:!1,showMonthAfterYear:!1,yearSuffix:"",selectMonthLabel:"Select month",selectYearLabel:"Select year"},this._defaults={showOn:"focus",showAnim:"fadeIn",showOptions:{},defaultDate:null,appendText:"",buttonText:"...",buttonImage:"",buttonImageOnly:!1,hideIfNoPrevNext:!1,navigationAsDateFormat:!1,gotoCurrent:!1,changeMonth:!1,changeYear:!1,yearRange:"c-10:c+10",showOtherMonths:!1,selectOtherMonths:!1,showWeek:!1,calculateWeek:this.iso8601Week,shortYearCutoff:"+10",minDate:null,maxDate:null,duration:"fast",beforeShowDay:null,beforeShow:null,onSelect:null,onChangeMonthYear:null,onClose:null,onUpdateDatepicker:null,numberOfMonths:1,showCurrentAtPos:0,stepMonths:1,stepBigMonths:12,altField:"",altFormat:"",constrainInput:!0,showButtonPanel:!1,autoSize:!1,disabled:!1},V.extend(this._defaults,this.regional[""]),this.regional.en=V.extend(!0,{},this.regional[""]),this.regional["en-US"]=V.extend(!0,{},this.regional.en),this.dpDiv=nt(V("<div id='"+this._mainDivId+"' class='ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>"))}function nt(t){var e="button, .ui-datepicker-prev, .ui-datepicker-next, .ui-datepicker-calendar td a";return t.on("mouseout",e,function(){V(this).removeClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).removeClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).removeClass("ui-datepicker-next-hover")}).on("mouseover",e,ot)}function ot(){V.datepicker._isDisabledDatepicker((it.inline?it.dpDiv.parent():it.input)[0])||(V(this).parents(".ui-datepicker-calendar").find("a").removeClass("ui-state-hover"),V(this).addClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).addClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).addClass("ui-datepicker-next-hover"))}function at(t,e){for(var i in V.extend(t,e),e)null==e[i]&&(t[i]=e[i]);return t}V.extend(V.ui,{datepicker:{version:"1.13.2"}}),V.extend(st.prototype,{markerClassName:"hasDatepicker",maxRows:4,_widgetDatepicker:function(){return this.dpDiv},setDefaults:function(t){return at(this._defaults,t||{}),this},_attachDatepicker:function(t,e){var i,s=t.nodeName.toLowerCase(),n="div"===s||"span"===s;t.id||(this.uuid+=1,t.id="dp"+this.uuid),(i=this._newInst(V(t),n)).settings=V.extend({},e||{}),"input"===s?this._connectDatepicker(t,i):n&&this._inlineDatepicker(t,i)},_newInst:function(t,e){return{id:t[0].id.replace(/([^A-Za-z0-9_\-])/g,"\\\\$1"),input:t,selectedDay:0,selectedMonth:0,selectedYear:0,drawMonth:0,drawYear:0,inline:e,dpDiv:e?nt(V("<div class='"+this._inlineClass+" ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>")):this.dpDiv}},_connectDatepicker:function(t,e){var i=V(t);e.append=V([]),e.trigger=V([]),i.hasClass(this.markerClassName)||(this._attachments(i,e),i.addClass(this.markerClassName).on("keydown",this._doKeyDown).on("keypress",this._doKeyPress).on("keyup",this._doKeyUp),this._autoSize(e),V.data(t,"datepicker",e),e.settings.disabled&&this._disableDatepicker(t))},_attachments:function(t,e){var i,s=this._get(e,"appendText"),n=this._get(e,"isRTL");e.append&&e.append.remove(),s&&(e.append=V("<span>").addClass(this._appendClass).text(s),t[n?"before":"after"](e.append)),t.off("focus",this._showDatepicker),e.trigger&&e.trigger.remove(),"focus"!==(i=this._get(e,"showOn"))&&"both"!==i||t.on("focus",this._showDatepicker),"button"!==i&&"both"!==i||(s=this._get(e,"buttonText"),i=this._get(e,"buttonImage"),this._get(e,"buttonImageOnly")?e.trigger=V("<img>").addClass(this._triggerClass).attr({src:i,alt:s,title:s}):(e.trigger=V("<button type='button'>").addClass(this._triggerClass),i?e.trigger.html(V("<img>").attr({src:i,alt:s,title:s})):e.trigger.text(s)),t[n?"before":"after"](e.trigger),e.trigger.on("click",function(){return V.datepicker._datepickerShowing&&V.datepicker._lastInput===t[0]?V.datepicker._hideDatepicker():(V.datepicker._datepickerShowing&&V.datepicker._lastInput!==t[0]&&V.datepicker._hideDatepicker(),V.datepicker._showDatepicker(t[0])),!1}))},_autoSize:function(t){var e,i,s,n,o,a;this._get(t,"autoSize")&&!t.inline&&(o=new Date(2009,11,20),(a=this._get(t,"dateFormat")).match(/[DM]/)&&(e=function(t){for(n=s=i=0;n<t.length;n++)t[n].length>i&&(i=t[n].length,s=n);return s},o.setMonth(e(this._get(t,a.match(/MM/)?"monthNames":"monthNamesShort"))),o.setDate(e(this._get(t,a.match(/DD/)?"dayNames":"dayNamesShort"))+20-o.getDay())),t.input.attr("size",this._formatDate(t,o).length))},_inlineDatepicker:function(t,e){var i=V(t);i.hasClass(this.markerClassName)||(i.addClass(this.markerClassName).append(e.dpDiv),V.data(t,"datepicker",e),this._setDate(e,this._getDefaultDate(e),!0),this._updateDatepicker(e),this._updateAlternate(e),e.settings.disabled&&this._disableDatepicker(t),e.dpDiv.css("display","block"))},_dialogDatepicker:function(t,e,i,s,n){var o,a=this._dialogInst;return a||(this.uuid+=1,o="dp"+this.uuid,this._dialogInput=V("<input type='text' id='"+o+"' style='position: absolute; top: -100px; width: 0px;'/>"),this._dialogInput.on("keydown",this._doKeyDown),V("body").append(this._dialogInput),(a=this._dialogInst=this._newInst(this._dialogInput,!1)).settings={},V.data(this._dialogInput[0],"datepicker",a)),at(a.settings,s||{}),e=e&&e.constructor===Date?this._formatDate(a,e):e,this._dialogInput.val(e),this._pos=n?n.length?n:[n.pageX,n.pageY]:null,this._pos||(o=document.documentElement.clientWidth,s=document.documentElement.clientHeight,e=document.documentElement.scrollLeft||document.body.scrollLeft,n=document.documentElement.scrollTop||document.body.scrollTop,this._pos=[o/2-100+e,s/2-150+n]),this._dialogInput.css("left",this._pos[0]+20+"px").css("top",this._pos[1]+"px"),a.settings.onSelect=i,this._inDialog=!0,this.dpDiv.addClass(this._dialogClass),this._showDatepicker(this._dialogInput[0]),V.blockUI&&V.blockUI(this.dpDiv),V.data(this._dialogInput[0],"datepicker",a),this},_destroyDatepicker:function(t){var e,i=V(t),s=V.data(t,"datepicker");i.hasClass(this.markerClassName)&&(e=t.nodeName.toLowerCase(),V.removeData(t,"datepicker"),"input"===e?(s.append.remove(),s.trigger.remove(),i.removeClass(this.markerClassName).off("focus",this._showDatepicker).off("keydown",this._doKeyDown).off("keypress",this._doKeyPress).off("keyup",this._doKeyUp)):"div"!==e&&"span"!==e||i.removeClass(this.markerClassName).empty(),it===s&&(it=null,this._curInst=null))},_enableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!1,s.trigger.filter("button").each(function(){this.disabled=!1}).end().filter("img").css({opacity:"1.0",cursor:""})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().removeClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!1)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}))},_disableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!0,s.trigger.filter("button").each(function(){this.disabled=!0}).end().filter("img").css({opacity:"0.5",cursor:"default"})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().addClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!0)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}),this._disabledInputs[this._disabledInputs.length]=e)},_isDisabledDatepicker:function(t){if(!t)return!1;for(var e=0;e<this._disabledInputs.length;e++)if(this._disabledInputs[e]===t)return!0;return!1},_getInst:function(t){try{return V.data(t,"datepicker")}catch(t){throw"Missing instance data for this datepicker"}},_optionDatepicker:function(t,e,i){var s,n,o=this._getInst(t);if(2===arguments.length&&"string"==typeof e)return"defaults"===e?V.extend({},V.datepicker._defaults):o?"all"===e?V.extend({},o.settings):this._get(o,e):null;s=e||{},"string"==typeof e&&((s={})[e]=i),o&&(this._curInst===o&&this._hideDatepicker(),n=this._getDateDatepicker(t,!0),e=this._getMinMaxDate(o,"min"),i=this._getMinMaxDate(o,"max"),at(o.settings,s),null!==e&&void 0!==s.dateFormat&&void 0===s.minDate&&(o.settings.minDate=this._formatDate(o,e)),null!==i&&void 0!==s.dateFormat&&void 0===s.maxDate&&(o.settings.maxDate=this._formatDate(o,i)),"disabled"in s&&(s.disabled?this._disableDatepicker(t):this._enableDatepicker(t)),this._attachments(V(t),o),this._autoSize(o),this._setDate(o,n),this._updateAlternate(o),this._updateDatepicker(o))},_changeDatepicker:function(t,e,i){this._optionDatepicker(t,e,i)},_refreshDatepicker:function(t){t=this._getInst(t);t&&this._updateDatepicker(t)},_setDateDatepicker:function(t,e){t=this._getInst(t);t&&(this._setDate(t,e),this._updateDatepicker(t),this._updateAlternate(t))},_getDateDatepicker:function(t,e){t=this._getInst(t);return t&&!t.inline&&this._setDateFromField(t,e),t?this._getDate(t):null},_doKeyDown:function(t){var e,i,s=V.datepicker._getInst(t.target),n=!0,o=s.dpDiv.is(".ui-datepicker-rtl");if(s._keyEvent=!0,V.datepicker._datepickerShowing)switch(t.keyCode){case 9:V.datepicker._hideDatepicker(),n=!1;break;case 13:return(i=V("td."+V.datepicker._dayOverClass+":not(."+V.datepicker._currentClass+")",s.dpDiv))[0]&&V.datepicker._selectDay(t.target,s.selectedMonth,s.selectedYear,i[0]),(e=V.datepicker._get(s,"onSelect"))?(i=V.datepicker._formatDate(s),e.apply(s.input?s.input[0]:null,[i,s])):V.datepicker._hideDatepicker(),!1;case 27:V.datepicker._hideDatepicker();break;case 33:V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 34:V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 35:(t.ctrlKey||t.metaKey)&&V.datepicker._clearDate(t.target),n=t.ctrlKey||t.metaKey;break;case 36:(t.ctrlKey||t.metaKey)&&V.datepicker._gotoToday(t.target),n=t.ctrlKey||t.metaKey;break;case 37:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?1:-1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 38:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,-7,"D"),n=t.ctrlKey||t.metaKey;break;case 39:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?-1:1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 40:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,7,"D"),n=t.ctrlKey||t.metaKey;break;default:n=!1}else 36===t.keyCode&&t.ctrlKey?V.datepicker._showDatepicker(this):n=!1;n&&(t.preventDefault(),t.stopPropagation())},_doKeyPress:function(t){var e,i=V.datepicker._getInst(t.target);if(V.datepicker._get(i,"constrainInput"))return e=V.datepicker._possibleChars(V.datepicker._get(i,"dateFormat")),i=String.fromCharCode(null==t.charCode?t.keyCode:t.charCode),t.ctrlKey||t.metaKey||i<" "||!e||-1<e.indexOf(i)},_doKeyUp:function(t){t=V.datepicker._getInst(t.target);if(t.input.val()!==t.lastVal)try{V.datepicker.parseDate(V.datepicker._get(t,"dateFormat"),t.input?t.input.val():null,V.datepicker._getFormatConfig(t))&&(V.datepicker._setDateFromField(t),V.datepicker._updateAlternate(t),V.datepicker._updateDatepicker(t))}catch(t){}return!0},_showDatepicker:function(t){var e,i,s,n;"input"!==(t=t.target||t).nodeName.toLowerCase()&&(t=V("input",t.parentNode)[0]),V.datepicker._isDisabledDatepicker(t)||V.datepicker._lastInput===t||(n=V.datepicker._getInst(t),V.datepicker._curInst&&V.datepicker._curInst!==n&&(V.datepicker._curInst.dpDiv.stop(!0,!0),n&&V.datepicker._datepickerShowing&&V.datepicker._hideDatepicker(V.datepicker._curInst.input[0])),!1!==(i=(s=V.datepicker._get(n,"beforeShow"))?s.apply(t,[t,n]):{})&&(at(n.settings,i),n.lastVal=null,V.datepicker._lastInput=t,V.datepicker._setDateFromField(n),V.datepicker._inDialog&&(t.value=""),V.datepicker._pos||(V.datepicker._pos=V.datepicker._findPos(t),V.datepicker._pos[1]+=t.offsetHeight),e=!1,V(t).parents().each(function(){return!(e|="fixed"===V(this).css("position"))}),s={left:V.datepicker._pos[0],top:V.datepicker._pos[1]},V.datepicker._pos=null,n.dpDiv.empty(),n.dpDiv.css({position:"absolute",display:"block",top:"-1000px"}),V.datepicker._updateDatepicker(n),s=V.datepicker._checkOffset(n,s,e),n.dpDiv.css({position:V.datepicker._inDialog&&V.blockUI?"static":e?"fixed":"absolute",display:"none",left:s.left+"px",top:s.top+"px"}),n.inline||(i=V.datepicker._get(n,"showAnim"),s=V.datepicker._get(n,"duration"),n.dpDiv.css("z-index",function(t){for(var e,i;t.length&&t[0]!==document;){if(("absolute"===(e=t.css("position"))||"relative"===e||"fixed"===e)&&(i=parseInt(t.css("zIndex"),10),!isNaN(i)&&0!==i))return i;t=t.parent()}return 0}(V(t))+1),V.datepicker._datepickerShowing=!0,V.effects&&V.effects.effect[i]?n.dpDiv.show(i,V.datepicker._get(n,"showOptions"),s):n.dpDiv[i||"show"](i?s:null),V.datepicker._shouldFocusInput(n)&&n.input.trigger("focus"),V.datepicker._curInst=n)))},_updateDatepicker:function(t){this.maxRows=4,(it=t).dpDiv.empty().append(this._generateHTML(t)),this._attachHandlers(t);var e,i=this._getNumberOfMonths(t),s=i[1],n=t.dpDiv.find("."+this._dayOverClass+" a"),o=V.datepicker._get(t,"onUpdateDatepicker");0<n.length&&ot.apply(n.get(0)),t.dpDiv.removeClass("ui-datepicker-multi-2 ui-datepicker-multi-3 ui-datepicker-multi-4").width(""),1<s&&t.dpDiv.addClass("ui-datepicker-multi-"+s).css("width",17*s+"em"),t.dpDiv[(1!==i[0]||1!==i[1]?"add":"remove")+"Class"]("ui-datepicker-multi"),t.dpDiv[(this._get(t,"isRTL")?"add":"remove")+"Class"]("ui-datepicker-rtl"),t===V.datepicker._curInst&&V.datepicker._datepickerShowing&&V.datepicker._shouldFocusInput(t)&&t.input.trigger("focus"),t.yearshtml&&(e=t.yearshtml,setTimeout(function(){e===t.yearshtml&&t.yearshtml&&t.dpDiv.find("select.ui-datepicker-year").first().replaceWith(t.yearshtml),e=t.yearshtml=null},0)),o&&o.apply(t.input?t.input[0]:null,[t])},_shouldFocusInput:function(t){return t.input&&t.input.is(":visible")&&!t.input.is(":disabled")&&!t.input.is(":focus")},_checkOffset:function(t,e,i){var s=t.dpDiv.outerWidth(),n=t.dpDiv.outerHeight(),o=t.input?t.input.outerWidth():0,a=t.input?t.input.outerHeight():0,r=document.documentElement.clientWidth+(i?0:V(document).scrollLeft()),l=document.documentElement.clientHeight+(i?0:V(document).scrollTop());return e.left-=this._get(t,"isRTL")?s-o:0,e.left-=i&&e.left===t.input.offset().left?V(document).scrollLeft():0,e.top-=i&&e.top===t.input.offset().top+a?V(document).scrollTop():0,e.left-=Math.min(e.left,e.left+s>r&&s<r?Math.abs(e.left+s-r):0),e.top-=Math.min(e.top,e.top+n>l&&n<l?Math.abs(n+a):0),e},_findPos:function(t){for(var e=this._getInst(t),i=this._get(e,"isRTL");t&&("hidden"===t.type||1!==t.nodeType||V.expr.pseudos.hidden(t));)t=t[i?"previousSibling":"nextSibling"];return[(e=V(t).offset()).left,e.top]},_hideDatepicker:function(t){var e,i,s=this._curInst;!s||t&&s!==V.data(t,"datepicker")||this._datepickerShowing&&(e=this._get(s,"showAnim"),i=this._get(s,"duration"),t=function(){V.datepicker._tidyDialog(s)},V.effects&&(V.effects.effect[e]||V.effects[e])?s.dpDiv.hide(e,V.datepicker._get(s,"showOptions"),i,t):s.dpDiv["slideDown"===e?"slideUp":"fadeIn"===e?"fadeOut":"hide"](e?i:null,t),e||t(),this._datepickerShowing=!1,(t=this._get(s,"onClose"))&&t.apply(s.input?s.input[0]:null,[s.input?s.input.val():"",s]),this._lastInput=null,this._inDialog&&(this._dialogInput.css({position:"absolute",left:"0",top:"-100px"}),V.blockUI&&(V.unblockUI(),V("body").append(this.dpDiv))),this._inDialog=!1)},_tidyDialog:function(t){t.dpDiv.removeClass(this._dialogClass).off(".ui-datepicker-calendar")},_checkExternalClick:function(t){var e;V.datepicker._curInst&&(e=V(t.target),t=V.datepicker._getInst(e[0]),(e[0].id===V.datepicker._mainDivId||0!==e.parents("#"+V.datepicker._mainDivId).length||e.hasClass(V.datepicker.markerClassName)||e.closest("."+V.datepicker._triggerClass).length||!V.datepicker._datepickerShowing||V.datepicker._inDialog&&V.blockUI)&&(!e.hasClass(V.datepicker.markerClassName)||V.datepicker._curInst===t)||V.datepicker._hideDatepicker())},_adjustDate:function(t,e,i){var s=V(t),t=this._getInst(s[0]);this._isDisabledDatepicker(s[0])||(this._adjustInstDate(t,e,i),this._updateDatepicker(t))},_gotoToday:function(t){var e=V(t),i=this._getInst(e[0]);this._get(i,"gotoCurrent")&&i.currentDay?(i.selectedDay=i.currentDay,i.drawMonth=i.selectedMonth=i.currentMonth,i.drawYear=i.selectedYear=i.currentYear):(t=new Date,i.selectedDay=t.getDate(),i.drawMonth=i.selectedMonth=t.getMonth(),i.drawYear=i.selectedYear=t.getFullYear()),this._notifyChange(i),this._adjustDate(e)},_selectMonthYear:function(t,e,i){var s=V(t),t=this._getInst(s[0]);t["selected"+("M"===i?"Month":"Year")]=t["draw"+("M"===i?"Month":"Year")]=parseInt(e.options[e.selectedIndex].value,10),this._notifyChange(t),this._adjustDate(s)},_selectDay:function(t,e,i,s){var n=V(t);V(s).hasClass(this._unselectableClass)||this._isDisabledDatepicker(n[0])||((n=this._getInst(n[0])).selectedDay=n.currentDay=parseInt(V("a",s).attr("data-date")),n.selectedMonth=n.currentMonth=e,n.selectedYear=n.currentYear=i,this._selectDate(t,this._formatDate(n,n.currentDay,n.currentMonth,n.currentYear)))},_clearDate:function(t){t=V(t);this._selectDate(t,"")},_selectDate:function(t,e){var i=V(t),t=this._getInst(i[0]);e=null!=e?e:this._formatDate(t),t.input&&t.input.val(e),this._updateAlternate(t),(i=this._get(t,"onSelect"))?i.apply(t.input?t.input[0]:null,[e,t]):t.input&&t.input.trigger("change"),t.inline?this._updateDatepicker(t):(this._hideDatepicker(),this._lastInput=t.input[0],"object"!=typeof t.input[0]&&t.input.trigger("focus"),this._lastInput=null)},_updateAlternate:function(t){var e,i,s=this._get(t,"altField");s&&(e=this._get(t,"altFormat")||this._get(t,"dateFormat"),i=this._getDate(t),t=this.formatDate(e,i,this._getFormatConfig(t)),V(document).find(s).val(t))},noWeekends:function(t){t=t.getDay();return[0<t&&t<6,""]},iso8601Week:function(t){var e=new Date(t.getTime());return e.setDate(e.getDate()+4-(e.getDay()||7)),t=e.getTime(),e.setMonth(0),e.setDate(1),Math.floor(Math.round((t-e)/864e5)/7)+1},parseDate:function(e,n,t){if(null==e||null==n)throw"Invalid arguments";if(""===(n="object"==typeof n?n.toString():n+""))return null;for(var i,s,o,a=0,r=(t?t.shortYearCutoff:null)||this._defaults.shortYearCutoff,r="string"!=typeof r?r:(new Date).getFullYear()%100+parseInt(r,10),l=(t?t.dayNamesShort:null)||this._defaults.dayNamesShort,h=(t?t.dayNames:null)||this._defaults.dayNames,c=(t?t.monthNamesShort:null)||this._defaults.monthNamesShort,u=(t?t.monthNames:null)||this._defaults.monthNames,d=-1,p=-1,f=-1,g=-1,m=!1,_=function(t){t=w+1<e.length&&e.charAt(w+1)===t;return t&&w++,t},v=function(t){var e=_(t),e="@"===t?14:"!"===t?20:"y"===t&&e?4:"o"===t?3:2,e=new RegExp("^\\d{"+("y"===t?e:1)+","+e+"}"),e=n.substring(a).match(e);if(!e)throw"Missing number at position "+a;return a+=e[0].length,parseInt(e[0],10)},b=function(t,e,i){var s=-1,e=V.map(_(t)?i:e,function(t,e){return[[e,t]]}).sort(function(t,e){return-(t[1].length-e[1].length)});if(V.each(e,function(t,e){var i=e[1];if(n.substr(a,i.length).toLowerCase()===i.toLowerCase())return s=e[0],a+=i.length,!1}),-1!==s)return s+1;throw"Unknown name at position "+a},y=function(){if(n.charAt(a)!==e.charAt(w))throw"Unexpected literal at position "+a;a++},w=0;w<e.length;w++)if(m)"'"!==e.charAt(w)||_("'")?y():m=!1;else switch(e.charAt(w)){case"d":f=v("d");break;case"D":b("D",l,h);break;case"o":g=v("o");break;case"m":p=v("m");break;case"M":p=b("M",c,u);break;case"y":d=v("y");break;case"@":d=(o=new Date(v("@"))).getFullYear(),p=o.getMonth()+1,f=o.getDate();break;case"!":d=(o=new Date((v("!")-this._ticksTo1970)/1e4)).getFullYear(),p=o.getMonth()+1,f=o.getDate();break;case"'":_("'")?y():m=!0;break;default:y()}if(a<n.length&&(s=n.substr(a),!/^\s+/.test(s)))throw"Extra/unparsed characters found in date: "+s;if(-1===d?d=(new Date).getFullYear():d<100&&(d+=(new Date).getFullYear()-(new Date).getFullYear()%100+(d<=r?0:-100)),-1<g)for(p=1,f=g;;){if(f<=(i=this._getDaysInMonth(d,p-1)))break;p++,f-=i}if((o=this._daylightSavingAdjust(new Date(d,p-1,f))).getFullYear()!==d||o.getMonth()+1!==p||o.getDate()!==f)throw"Invalid date";return o},ATOM:"yy-mm-dd",COOKIE:"D, dd M yy",ISO_8601:"yy-mm-dd",RFC_822:"D, d M y",RFC_850:"DD, dd-M-y",RFC_1036:"D, d M y",RFC_1123:"D, d M yy",RFC_2822:"D, d M yy",RSS:"D, d M y",TICKS:"!",TIMESTAMP:"@",W3C:"yy-mm-dd",_ticksTo1970:24*(718685+Math.floor(492.5)-Math.floor(19.7)+Math.floor(4.925))*60*60*1e7,formatDate:function(e,t,i){if(!t)return"";function s(t,e,i){var s=""+e;if(c(t))for(;s.length<i;)s="0"+s;return s}function n(t,e,i,s){return(c(t)?s:i)[e]}var o,a=(i?i.dayNamesShort:null)||this._defaults.dayNamesShort,r=(i?i.dayNames:null)||this._defaults.dayNames,l=(i?i.monthNamesShort:null)||this._defaults.monthNamesShort,h=(i?i.monthNames:null)||this._defaults.monthNames,c=function(t){t=o+1<e.length&&e.charAt(o+1)===t;return t&&o++,t},u="",d=!1;if(t)for(o=0;o<e.length;o++)if(d)"'"!==e.charAt(o)||c("'")?u+=e.charAt(o):d=!1;else switch(e.charAt(o)){case"d":u+=s("d",t.getDate(),2);break;case"D":u+=n("D",t.getDay(),a,r);break;case"o":u+=s("o",Math.round((new Date(t.getFullYear(),t.getMonth(),t.getDate()).getTime()-new Date(t.getFullYear(),0,0).getTime())/864e5),3);break;case"m":u+=s("m",t.getMonth()+1,2);break;case"M":u+=n("M",t.getMonth(),l,h);break;case"y":u+=c("y")?t.getFullYear():(t.getFullYear()%100<10?"0":"")+t.getFullYear()%100;break;case"@":u+=t.getTime();break;case"!":u+=1e4*t.getTime()+this._ticksTo1970;break;case"'":c("'")?u+="'":d=!0;break;default:u+=e.charAt(o)}return u},_possibleChars:function(e){for(var t="",i=!1,s=function(t){t=n+1<e.length&&e.charAt(n+1)===t;return t&&n++,t},n=0;n<e.length;n++)if(i)"'"!==e.charAt(n)||s("'")?t+=e.charAt(n):i=!1;else switch(e.charAt(n)){case"d":case"m":case"y":case"@":t+="0123456789";break;case"D":case"M":return null;case"'":s("'")?t+="'":i=!0;break;default:t+=e.charAt(n)}return t},_get:function(t,e){return(void 0!==t.settings[e]?t.settings:this._defaults)[e]},_setDateFromField:function(t,e){if(t.input.val()!==t.lastVal){var i=this._get(t,"dateFormat"),s=t.lastVal=t.input?t.input.val():null,n=this._getDefaultDate(t),o=n,a=this._getFormatConfig(t);try{o=this.parseDate(i,s,a)||n}catch(t){s=e?"":s}t.selectedDay=o.getDate(),t.drawMonth=t.selectedMonth=o.getMonth(),t.drawYear=t.selectedYear=o.getFullYear(),t.currentDay=s?o.getDate():0,t.currentMonth=s?o.getMonth():0,t.currentYear=s?o.getFullYear():0,this._adjustInstDate(t)}},_getDefaultDate:function(t){return this._restrictMinMax(t,this._determineDate(t,this._get(t,"defaultDate"),new Date))},_determineDate:function(r,t,e){var i,s,t=null==t||""===t?e:"string"==typeof t?function(t){try{return V.datepicker.parseDate(V.datepicker._get(r,"dateFormat"),t,V.datepicker._getFormatConfig(r))}catch(t){}for(var e=(t.toLowerCase().match(/^c/)?V.datepicker._getDate(r):null)||new Date,i=e.getFullYear(),s=e.getMonth(),n=e.getDate(),o=/([+\-]?[0-9]+)\s*(d|D|w|W|m|M|y|Y)?/g,a=o.exec(t);a;){switch(a[2]||"d"){case"d":case"D":n+=parseInt(a[1],10);break;case"w":case"W":n+=7*parseInt(a[1],10);break;case"m":case"M":s+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s));break;case"y":case"Y":i+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s))}a=o.exec(t)}return new Date(i,s,n)}(t):"number"==typeof t?isNaN(t)?e:(i=t,(s=new Date).setDate(s.getDate()+i),s):new Date(t.getTime());return(t=t&&"Invalid Date"===t.toString()?e:t)&&(t.setHours(0),t.setMinutes(0),t.setSeconds(0),t.setMilliseconds(0)),this._daylightSavingAdjust(t)},_daylightSavingAdjust:function(t){return t?(t.setHours(12<t.getHours()?t.getHours()+2:0),t):null},_setDate:function(t,e,i){var s=!e,n=t.selectedMonth,o=t.selectedYear,e=this._restrictMinMax(t,this._determineDate(t,e,new Date));t.selectedDay=t.currentDay=e.getDate(),t.drawMonth=t.selectedMonth=t.currentMonth=e.getMonth(),t.drawYear=t.selectedYear=t.currentYear=e.getFullYear(),n===t.selectedMonth&&o===t.selectedYear||i||this._notifyChange(t),this._adjustInstDate(t),t.input&&t.input.val(s?"":this._formatDate(t))},_getDate:function(t){return!t.currentYear||t.input&&""===t.input.val()?null:this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay))},_attachHandlers:function(t){var e=this._get(t,"stepMonths"),i="#"+t.id.replace(/\\\\/g,"\\");t.dpDiv.find("[data-handler]").map(function(){var t={prev:function(){V.datepicker._adjustDate(i,-e,"M")},next:function(){V.datepicker._adjustDate(i,+e,"M")},hide:function(){V.datepicker._hideDatepicker()},today:function(){V.datepicker._gotoToday(i)},selectDay:function(){return V.datepicker._selectDay(i,+this.getAttribute("data-month"),+this.getAttribute("data-year"),this),!1},selectMonth:function(){return V.datepicker._selectMonthYear(i,this,"M"),!1},selectYear:function(){return V.datepicker._selectMonthYear(i,this,"Y"),!1}};V(this).on(this.getAttribute("data-event"),t[this.getAttribute("data-handler")])})},_generateHTML:function(t){var e,i,s,n,o,a,r,l,h,c,u,d,p,f,g,m,_,v,b,y,w,x,k,C,D,I,T,P,M,S,H,z,A=new Date,O=this._daylightSavingAdjust(new Date(A.getFullYear(),A.getMonth(),A.getDate())),N=this._get(t,"isRTL"),E=this._get(t,"showButtonPanel"),W=this._get(t,"hideIfNoPrevNext"),F=this._get(t,"navigationAsDateFormat"),L=this._getNumberOfMonths(t),R=this._get(t,"showCurrentAtPos"),A=this._get(t,"stepMonths"),Y=1!==L[0]||1!==L[1],B=this._daylightSavingAdjust(t.currentDay?new Date(t.currentYear,t.currentMonth,t.currentDay):new Date(9999,9,9)),j=this._getMinMaxDate(t,"min"),q=this._getMinMaxDate(t,"max"),K=t.drawMonth-R,U=t.drawYear;if(K<0&&(K+=12,U--),q)for(e=this._daylightSavingAdjust(new Date(q.getFullYear(),q.getMonth()-L[0]*L[1]+1,q.getDate())),e=j&&e<j?j:e;this._daylightSavingAdjust(new Date(U,K,1))>e;)--K<0&&(K=11,U--);for(t.drawMonth=K,t.drawYear=U,R=this._get(t,"prevText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K-A,1)),this._getFormatConfig(t)):R,i=this._canAdjustMonth(t,-1,U,K)?V("<a>").attr({class:"ui-datepicker-prev ui-corner-all","data-handler":"prev","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-prev ui-corner-all ui-state-disabled",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML,R=this._get(t,"nextText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K+A,1)),this._getFormatConfig(t)):R,s=this._canAdjustMonth(t,1,U,K)?V("<a>").attr({class:"ui-datepicker-next ui-corner-all","data-handler":"next","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-next ui-corner-all ui-state-disabled",title:R}).append(V("<span>").attr("class","ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML,A=this._get(t,"currentText"),W=this._get(t,"gotoCurrent")&&t.currentDay?B:O,A=F?this.formatDate(A,W,this._getFormatConfig(t)):A,R="",t.inline||(R=V("<button>").attr({type:"button",class:"ui-datepicker-close ui-state-default ui-priority-primary ui-corner-all","data-handler":"hide","data-event":"click"}).text(this._get(t,"closeText"))[0].outerHTML),F="",E&&(F=V("<div class='ui-datepicker-buttonpane ui-widget-content'>").append(N?R:"").append(this._isInRange(t,W)?V("<button>").attr({type:"button",class:"ui-datepicker-current ui-state-default ui-priority-secondary ui-corner-all","data-handler":"today","data-event":"click"}).text(A):"").append(N?"":R)[0].outerHTML),n=parseInt(this._get(t,"firstDay"),10),n=isNaN(n)?0:n,o=this._get(t,"showWeek"),a=this._get(t,"dayNames"),r=this._get(t,"dayNamesMin"),l=this._get(t,"monthNames"),h=this._get(t,"monthNamesShort"),c=this._get(t,"beforeShowDay"),u=this._get(t,"showOtherMonths"),d=this._get(t,"selectOtherMonths"),p=this._getDefaultDate(t),f="",m=0;m<L[0];m++){for(_="",this.maxRows=4,v=0;v<L[1];v++){if(b=this._daylightSavingAdjust(new Date(U,K,t.selectedDay)),y=" ui-corner-all",w="",Y){if(w+="<div class='ui-datepicker-group",1<L[1])switch(v){case 0:w+=" ui-datepicker-group-first",y=" ui-corner-"+(N?"right":"left");break;case L[1]-1:w+=" ui-datepicker-group-last",y=" ui-corner-"+(N?"left":"right");break;default:w+=" ui-datepicker-group-middle",y=""}w+="'>"}for(w+="<div class='ui-datepicker-header ui-widget-header ui-helper-clearfix"+y+"'>"+(/all|left/.test(y)&&0===m?N?s:i:"")+(/all|right/.test(y)&&0===m?N?i:s:"")+this._generateMonthYearHeader(t,K,U,j,q,0<m||0<v,l,h)+"</div><table class='ui-datepicker-calendar'><thead><tr>",x=o?"<th class='ui-datepicker-week-col'>"+this._get(t,"weekHeader")+"</th>":"",g=0;g<7;g++)x+="<th scope='col'"+(5<=(g+n+6)%7?" class='ui-datepicker-week-end'":"")+"><span title='"+a[k=(g+n)%7]+"'>"+r[k]+"</span></th>";for(w+=x+"</tr></thead><tbody>",D=this._getDaysInMonth(U,K),U===t.selectedYear&&K===t.selectedMonth&&(t.selectedDay=Math.min(t.selectedDay,D)),C=(this._getFirstDayOfMonth(U,K)-n+7)%7,D=Math.ceil((C+D)/7),I=Y&&this.maxRows>D?this.maxRows:D,this.maxRows=I,T=this._daylightSavingAdjust(new Date(U,K,1-C)),P=0;P<I;P++){for(w+="<tr>",M=o?"<td class='ui-datepicker-week-col'>"+this._get(t,"calculateWeek")(T)+"</td>":"",g=0;g<7;g++)S=c?c.apply(t.input?t.input[0]:null,[T]):[!0,""],z=(H=T.getMonth()!==K)&&!d||!S[0]||j&&T<j||q&&q<T,M+="<td class='"+(5<=(g+n+6)%7?" ui-datepicker-week-end":"")+(H?" ui-datepicker-other-month":"")+(T.getTime()===b.getTime()&&K===t.selectedMonth&&t._keyEvent||p.getTime()===T.getTime()&&p.getTime()===b.getTime()?" "+this._dayOverClass:"")+(z?" "+this._unselectableClass+" ui-state-disabled":"")+(H&&!u?"":" "+S[1]+(T.getTime()===B.getTime()?" "+this._currentClass:"")+(T.getTime()===O.getTime()?" ui-datepicker-today":""))+"'"+(H&&!u||!S[2]?"":" title='"+S[2].replace(/'/g,"&#39;")+"'")+(z?"":" data-handler='selectDay' data-event='click' data-month='"+T.getMonth()+"' data-year='"+T.getFullYear()+"'")+">"+(H&&!u?"&#xa0;":z?"<span class='ui-state-default'>"+T.getDate()+"</span>":"<a class='ui-state-default"+(T.getTime()===O.getTime()?" ui-state-highlight":"")+(T.getTime()===B.getTime()?" ui-state-active":"")+(H?" ui-priority-secondary":"")+"' href='#' aria-current='"+(T.getTime()===B.getTime()?"true":"false")+"' data-date='"+T.getDate()+"'>"+T.getDate()+"</a>")+"</td>",T.setDate(T.getDate()+1),T=this._daylightSavingAdjust(T);w+=M+"</tr>"}11<++K&&(K=0,U++),_+=w+="</tbody></table>"+(Y?"</div>"+(0<L[0]&&v===L[1]-1?"<div class='ui-datepicker-row-break'></div>":""):"")}f+=_}return f+=F,t._keyEvent=!1,f},_generateMonthYearHeader:function(t,e,i,s,n,o,a,r){var l,h,c,u,d,p,f=this._get(t,"changeMonth"),g=this._get(t,"changeYear"),m=this._get(t,"showMonthAfterYear"),_=this._get(t,"selectMonthLabel"),v=this._get(t,"selectYearLabel"),b="<div class='ui-datepicker-title'>",y="";if(o||!f)y+="<span class='ui-datepicker-month'>"+a[e]+"</span>";else{for(l=s&&s.getFullYear()===i,h=n&&n.getFullYear()===i,y+="<select class='ui-datepicker-month' aria-label='"+_+"' data-handler='selectMonth' data-event='change'>",c=0;c<12;c++)(!l||c>=s.getMonth())&&(!h||c<=n.getMonth())&&(y+="<option value='"+c+"'"+(c===e?" selected='selected'":"")+">"+r[c]+"</option>");y+="</select>"}if(m||(b+=y+(!o&&f&&g?"":"&#xa0;")),!t.yearshtml)if(t.yearshtml="",o||!g)b+="<span class='ui-datepicker-year'>"+i+"</span>";else{for(a=this._get(t,"yearRange").split(":"),u=(new Date).getFullYear(),d=(_=function(t){t=t.match(/c[+\-].*/)?i+parseInt(t.substring(1),10):t.match(/[+\-].*/)?u+parseInt(t,10):parseInt(t,10);return isNaN(t)?u:t})(a[0]),p=Math.max(d,_(a[1]||"")),d=s?Math.max(d,s.getFullYear()):d,p=n?Math.min(p,n.getFullYear()):p,t.yearshtml+="<select class='ui-datepicker-year' aria-label='"+v+"' data-handler='selectYear' data-event='change'>";d<=p;d++)t.yearshtml+="<option value='"+d+"'"+(d===i?" selected='selected'":"")+">"+d+"</option>";t.yearshtml+="</select>",b+=t.yearshtml,t.yearshtml=null}return b+=this._get(t,"yearSuffix"),m&&(b+=(!o&&f&&g?"":"&#xa0;")+y),b+="</div>"},_adjustInstDate:function(t,e,i){var s=t.selectedYear+("Y"===i?e:0),n=t.selectedMonth+("M"===i?e:0),e=Math.min(t.selectedDay,this._getDaysInMonth(s,n))+("D"===i?e:0),e=this._restrictMinMax(t,this._daylightSavingAdjust(new Date(s,n,e)));t.selectedDay=e.getDate(),t.drawMonth=t.selectedMonth=e.getMonth(),t.drawYear=t.selectedYear=e.getFullYear(),"M"!==i&&"Y"!==i||this._notifyChange(t)},_restrictMinMax:function(t,e){var i=this._getMinMaxDate(t,"min"),t=this._getMinMaxDate(t,"max"),e=i&&e<i?i:e;return t&&t<e?t:e},_notifyChange:function(t){var e=this._get(t,"onChangeMonthYear");e&&e.apply(t.input?t.input[0]:null,[t.selectedYear,t.selectedMonth+1,t])},_getNumberOfMonths:function(t){t=this._get(t,"numberOfMonths");return null==t?[1,1]:"number"==typeof t?[1,t]:t},_getMinMaxDate:function(t,e){return this._determineDate(t,this._get(t,e+"Date"),null)},_getDaysInMonth:function(t,e){return 32-this._daylightSavingAdjust(new Date(t,e,32)).getDate()},_getFirstDayOfMonth:function(t,e){return new Date(t,e,1).getDay()},_canAdjustMonth:function(t,e,i,s){var n=this._getNumberOfMonths(t),n=this._daylightSavingAdjust(new Date(i,s+(e<0?e:n[0]*n[1]),1));return e<0&&n.setDate(this._getDaysInMonth(n.getFullYear(),n.getMonth())),this._isInRange(t,n)},_isInRange:function(t,e){var i=this._getMinMaxDate(t,"min"),s=this._getMinMaxDate(t,"max"),n=null,o=null,a=this._get(t,"yearRange");return a&&(t=a.split(":"),a=(new Date).getFullYear(),n=parseInt(t[0],10),o=parseInt(t[1],10),t[0].match(/[+\-].*/)&&(n+=a),t[1].match(/[+\-].*/)&&(o+=a)),(!i||e.getTime()>=i.getTime())&&(!s||e.getTime()<=s.getTime())&&(!n||e.getFullYear()>=n)&&(!o||e.getFullYear()<=o)},_getFormatConfig:function(t){var e=this._get(t,"shortYearCutoff");return{shortYearCutoff:e="string"!=typeof e?e:(new Date).getFullYear()%100+parseInt(e,10),dayNamesShort:this._get(t,"dayNamesShort"),dayNames:this._get(t,"dayNames"),monthNamesShort:this._get(t,"monthNamesShort"),monthNames:this._get(t,"monthNames")}},_formatDate:function(t,e,i,s){e||(t.currentDay=t.selectedDay,t.currentMonth=t.selectedMonth,t.currentYear=t.selectedYear);e=e?"object"==typeof e?e:this._daylightSavingAdjust(new Date(s,i,e)):this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay));return this.formatDate(this._get(t,"dateFormat"),e,this._getFormatConfig(t))}}),V.fn.datepicker=function(t){if(!this.length)return this;V.datepicker.initialized||(V(document).on("mousedown",V.datepicker._checkExternalClick),V.datepicker.initialized=!0),0===V("#"+V.datepicker._mainDivId).length&&V("body").append(V.datepicker.dpDiv);var e=Array.prototype.slice.call(arguments,1);return"string"==typeof t&&("isDisabled"===t||"getDate"===t||"widget"===t)||"option"===t&&2===arguments.length&&"string"==typeof arguments[1]?V.datepicker["_"+t+"Datepicker"].apply(V.datepicker,[this[0]].concat(e)):this.each(function(){"string"==typeof t?V.datepicker["_"+t+"Datepicker"].apply(V.datepicker,[this].concat(e)):V.datepicker._attachDatepicker(this,t)})},V.datepicker=new st,V.datepicker.initialized=!1,V.datepicker.uuid=(new Date).getTime(),V.datepicker.version="1.13.2";V.datepicker,V.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase());var rt=!1;V(document).on("mouseup",function(){rt=!1});V.widget("ui.mouse",{version:"1.13.2",options:{cancel:"input, textarea, button, select, option",distance:1,delay:0},_mouseInit:function(){var e=this;this.element.on("mousedown."+this.widgetName,function(t){return e._mouseDown(t)}).on("click."+this.widgetName,function(t){if(!0===V.data(t.target,e.widgetName+".preventClickEvent"))return V.removeData(t.target,e.widgetName+".preventClickEvent"),t.stopImmediatePropagation(),!1}),this.started=!1},_mouseDestroy:function(){this.element.off("."+this.widgetName),this._mouseMoveDelegate&&this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!rt){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var e=this,i=1===t.which,s=!("string"!=typeof this.options.cancel||!t.target.nodeName)&&V(t.target).closest(this.options.cancel).length;return i&&!s&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){e.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(t),!this._mouseStarted)?(t.preventDefault(),!0):(!0===V.data(t.target,this.widgetName+".preventClickEvent")&&V.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(t){return e._mouseMove(t)},this._mouseUpDelegate=function(t){return e._mouseUp(t)},this.document.on("mousemove."+this.widgetName,this._mouseMoveDelegate).on("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),rt=!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(V.ui.ie&&(!document.documentMode||document.documentMode<9)&&!t.button)return this._mouseUp(t);if(!t.which)if(t.originalEvent.altKey||t.originalEvent.ctrlKey||t.originalEvent.metaKey||t.originalEvent.shiftKey)this.ignoreMissingWhich=!0;else if(!this.ignoreMissingWhich)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=!1!==this._mouseStart(this._mouseDownEvent,t),this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){this.document.off("mousemove."+this.widgetName,this._mouseMoveDelegate).off("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&V.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),this._mouseDelayTimer&&(clearTimeout(this._mouseDelayTimer),delete this._mouseDelayTimer),this.ignoreMissingWhich=!1,rt=!1,t.preventDefault()},_mouseDistanceMet:function(t){return Math.max(Math.abs(this._mouseDownEvent.pageX-t.pageX),Math.abs(this._mouseDownEvent.pageY-t.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),V.ui.plugin={add:function(t,e,i){var s,n=V.ui[t].prototype;for(s in i)n.plugins[s]=n.plugins[s]||[],n.plugins[s].push([e,i[s]])},call:function(t,e,i,s){var n,o=t.plugins[e];if(o&&(s||t.element[0].parentNode&&11!==t.element[0].parentNode.nodeType))for(n=0;n<o.length;n++)t.options[o[n][0]]&&o[n][1].apply(t.element,i)}},V.ui.safeBlur=function(t){t&&"body"!==t.nodeName.toLowerCase()&&V(t).trigger("blur")};V.widget("ui.draggable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this._addClass("ui-draggable"),this._setHandleClassName(),this._mouseInit()},_setOption:function(t,e){this._super(t,e),"handle"===t&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){(this.helper||this.element).is(".ui-draggable-dragging")?this.destroyOnClear=!0:(this._removeHandleClassName(),this._mouseDestroy())},_mouseCapture:function(t){var e=this.options;return!(this.helper||e.disabled||0<V(t.target).closest(".ui-resizable-handle").length)&&(this.handle=this._getHandle(t),!!this.handle&&(this._blurActiveElement(t),this._blockFrames(!0===e.iframeFix?"iframe":e.iframeFix),!0))},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=V(this);return V("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var e=V.ui.safeActiveElement(this.document[0]);V(t.target).closest(e).length||V.ui.safeBlur(e)},_mouseStart:function(t){var e=this.options;return this.helper=this._createHelper(t),this._addClass(this.helper,"ui-draggable-dragging"),this._cacheHelperProportions(),V.ui.ddmanager&&(V.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=0<this.helper.parents().filter(function(){return"fixed"===V(this).css("position")}).length,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,e.cursorAt&&this._adjustOffsetFromHelper(e.cursorAt),this._setContainment(),!1===this._trigger("start",t)?(this._clear(),!1):(this._cacheHelperProportions(),V.ui.ddmanager&&!e.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this._mouseDrag(t,!0),V.ui.ddmanager&&V.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(t){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:t.pageX-this.offset.left,top:t.pageY-this.offset.top}},_mouseDrag:function(t,e){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!e){e=this._uiHash();if(!1===this._trigger("drag",t,e))return this._mouseUp(new V.Event("mouseup",t)),!1;this.position=e.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",V.ui.ddmanager&&V.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var e=this,i=!1;return V.ui.ddmanager&&!this.options.dropBehaviour&&(i=V.ui.ddmanager.drop(this,t)),this.dropped&&(i=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!i||"valid"===this.options.revert&&i||!0===this.options.revert||"function"==typeof this.options.revert&&this.options.revert.call(this.element,i)?V(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){!1!==e._trigger("stop",t)&&e._clear()}):!1!==this._trigger("stop",t)&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),V.ui.ddmanager&&V.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.trigger("focus"),V.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp(new V.Event("mouseup",{target:this.element[0]})):this._clear(),this},_getHandle:function(t){return!this.options.handle||!!V(t.target).closest(this.element.find(this.options.handle)).length},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this._addClass(this.handleElement,"ui-draggable-handle")},_removeHandleClassName:function(){this._removeClass(this.handleElement,"ui-draggable-handle")},_createHelper:function(t){var e=this.options,i="function"==typeof e.helper,t=i?V(e.helper.apply(this.element[0],[t])):"clone"===e.helper?this.element.clone().removeAttr("id"):this.element;return t.parents("body").length||t.appendTo("parent"===e.appendTo?this.element[0].parentNode:e.appendTo),i&&t[0]===this.element[0]&&this._setPositionRelative(),t[0]===this.element[0]||/(fixed|absolute)/.test(t.css("position"))||t.css("position","absolute"),t},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),"left"in(t=Array.isArray(t)?{left:+t[0],top:+t[1]||0}:t)&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(t){return/(html|body)/i.test(t.tagName)||t===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),e=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==e&&V.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),{top:(t=this._isRootNode(this.offsetParent[0])?{top:0,left:0}:t).top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var t=this.element.position(),e=this._isRootNode(this.scrollParent[0]);return{top:t.top-(parseInt(this.helper.css("top"),10)||0)+(e?0:this.scrollParent.scrollTop()),left:t.left-(parseInt(this.helper.css("left"),10)||0)+(e?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,e,i,s=this.options,n=this.document[0];this.relativeContainer=null,s.containment?"window"!==s.containment?"document"!==s.containment?s.containment.constructor!==Array?("parent"===s.containment&&(s.containment=this.helper[0].parentNode),(i=(e=V(s.containment))[0])&&(t=/(scroll|auto)/.test(e.css("overflow")),this.containment=[(parseInt(e.css("borderLeftWidth"),10)||0)+(parseInt(e.css("paddingLeft"),10)||0),(parseInt(e.css("borderTopWidth"),10)||0)+(parseInt(e.css("paddingTop"),10)||0),(t?Math.max(i.scrollWidth,i.offsetWidth):i.offsetWidth)-(parseInt(e.css("borderRightWidth"),10)||0)-(parseInt(e.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(i.scrollHeight,i.offsetHeight):i.offsetHeight)-(parseInt(e.css("borderBottomWidth"),10)||0)-(parseInt(e.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=e)):this.containment=s.containment:this.containment=[0,0,V(n).width()-this.helperProportions.width-this.margins.left,(V(n).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=[V(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,V(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,V(window).scrollLeft()+V(window).width()-this.helperProportions.width-this.margins.left,V(window).scrollTop()+(V(window).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=null},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,t=this._isRootNode(this.scrollParent[0]);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:t?0:this.offset.scroll.top)*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:t?0:this.offset.scroll.left)*i}},_generatePosition:function(t,e){var i,s=this.options,n=this._isRootNode(this.scrollParent[0]),o=t.pageX,a=t.pageY;return n&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),e&&(this.containment&&(i=this.relativeContainer?(i=this.relativeContainer.offset(),[this.containment[0]+i.left,this.containment[1]+i.top,this.containment[2]+i.left,this.containment[3]+i.top]):this.containment,t.pageX-this.offset.click.left<i[0]&&(o=i[0]+this.offset.click.left),t.pageY-this.offset.click.top<i[1]&&(a=i[1]+this.offset.click.top),t.pageX-this.offset.click.left>i[2]&&(o=i[2]+this.offset.click.left),t.pageY-this.offset.click.top>i[3]&&(a=i[3]+this.offset.click.top)),s.grid&&(t=s.grid[1]?this.originalPageY+Math.round((a-this.originalPageY)/s.grid[1])*s.grid[1]:this.originalPageY,a=!i||t-this.offset.click.top>=i[1]||t-this.offset.click.top>i[3]?t:t-this.offset.click.top>=i[1]?t-s.grid[1]:t+s.grid[1],t=s.grid[0]?this.originalPageX+Math.round((o-this.originalPageX)/s.grid[0])*s.grid[0]:this.originalPageX,o=!i||t-this.offset.click.left>=i[0]||t-this.offset.click.left>i[2]?t:t-this.offset.click.left>=i[0]?t-s.grid[0]:t+s.grid[0]),"y"===s.axis&&(o=this.originalPageX),"x"===s.axis&&(a=this.originalPageY)),{top:a-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:n?0:this.offset.scroll.top),left:o-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:n?0:this.offset.scroll.left)}},_clear:function(){this._removeClass(this.helper,"ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_trigger:function(t,e,i){return i=i||this._uiHash(),V.ui.plugin.call(this,t,[e,i,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),i.offset=this.positionAbs),V.Widget.prototype._trigger.call(this,t,e,i)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),V.ui.plugin.add("draggable","connectToSortable",{start:function(e,t,i){var s=V.extend({},t,{item:i.element});i.sortables=[],V(i.options.connectToSortable).each(function(){var t=V(this).sortable("instance");t&&!t.options.disabled&&(i.sortables.push(t),t.refreshPositions(),t._trigger("activate",e,s))})},stop:function(e,t,i){var s=V.extend({},t,{item:i.element});i.cancelHelperRemoval=!1,V.each(i.sortables,function(){var t=this;t.isOver?(t.isOver=0,i.cancelHelperRemoval=!0,t.cancelHelperRemoval=!1,t._storedCSS={position:t.placeholder.css("position"),top:t.placeholder.css("top"),left:t.placeholder.css("left")},t._mouseStop(e),t.options.helper=t.options._helper):(t.cancelHelperRemoval=!0,t._trigger("deactivate",e,s))})},drag:function(i,s,n){V.each(n.sortables,function(){var t=!1,e=this;e.positionAbs=n.positionAbs,e.helperProportions=n.helperProportions,e.offset.click=n.offset.click,e._intersectsWith(e.containerCache)&&(t=!0,V.each(n.sortables,function(){return this.positionAbs=n.positionAbs,this.helperProportions=n.helperProportions,this.offset.click=n.offset.click,t=this!==e&&this._intersectsWith(this.containerCache)&&V.contains(e.element[0],this.element[0])?!1:t})),t?(e.isOver||(e.isOver=1,n._parent=s.helper.parent(),e.currentItem=s.helper.appendTo(e.element).data("ui-sortable-item",!0),e.options._helper=e.options.helper,e.options.helper=function(){return s.helper[0]},i.target=e.currentItem[0],e._mouseCapture(i,!0),e._mouseStart(i,!0,!0),e.offset.click.top=n.offset.click.top,e.offset.click.left=n.offset.click.left,e.offset.parent.left-=n.offset.parent.left-e.offset.parent.left,e.offset.parent.top-=n.offset.parent.top-e.offset.parent.top,n._trigger("toSortable",i),n.dropped=e.element,V.each(n.sortables,function(){this.refreshPositions()}),n.currentItem=n.element,e.fromOutside=n),e.currentItem&&(e._mouseDrag(i),s.position=e.position)):e.isOver&&(e.isOver=0,e.cancelHelperRemoval=!0,e.options._revert=e.options.revert,e.options.revert=!1,e._trigger("out",i,e._uiHash(e)),e._mouseStop(i,!0),e.options.revert=e.options._revert,e.options.helper=e.options._helper,e.placeholder&&e.placeholder.remove(),s.helper.appendTo(n._parent),n._refreshOffsets(i),s.position=n._generatePosition(i,!0),n._trigger("fromSortable",i),n.dropped=!1,V.each(n.sortables,function(){this.refreshPositions()}))})}}),V.ui.plugin.add("draggable","cursor",{start:function(t,e,i){var s=V("body"),i=i.options;s.css("cursor")&&(i._cursor=s.css("cursor")),s.css("cursor",i.cursor)},stop:function(t,e,i){i=i.options;i._cursor&&V("body").css("cursor",i._cursor)}}),V.ui.plugin.add("draggable","opacity",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("opacity")&&(i._opacity=e.css("opacity")),e.css("opacity",i.opacity)},stop:function(t,e,i){i=i.options;i._opacity&&V(e.helper).css("opacity",i._opacity)}}),V.ui.plugin.add("draggable","scroll",{start:function(t,e,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,e,i){var s=i.options,n=!1,o=i.scrollParentNotHidden[0],a=i.document[0];o!==a&&"HTML"!==o.tagName?(s.axis&&"x"===s.axis||(i.overflowOffset.top+o.offsetHeight-t.pageY<s.scrollSensitivity?o.scrollTop=n=o.scrollTop+s.scrollSpeed:t.pageY-i.overflowOffset.top<s.scrollSensitivity&&(o.scrollTop=n=o.scrollTop-s.scrollSpeed)),s.axis&&"y"===s.axis||(i.overflowOffset.left+o.offsetWidth-t.pageX<s.scrollSensitivity?o.scrollLeft=n=o.scrollLeft+s.scrollSpeed:t.pageX-i.overflowOffset.left<s.scrollSensitivity&&(o.scrollLeft=n=o.scrollLeft-s.scrollSpeed))):(s.axis&&"x"===s.axis||(t.pageY-V(a).scrollTop()<s.scrollSensitivity?n=V(a).scrollTop(V(a).scrollTop()-s.scrollSpeed):V(window).height()-(t.pageY-V(a).scrollTop())<s.scrollSensitivity&&(n=V(a).scrollTop(V(a).scrollTop()+s.scrollSpeed))),s.axis&&"y"===s.axis||(t.pageX-V(a).scrollLeft()<s.scrollSensitivity?n=V(a).scrollLeft(V(a).scrollLeft()-s.scrollSpeed):V(window).width()-(t.pageX-V(a).scrollLeft())<s.scrollSensitivity&&(n=V(a).scrollLeft(V(a).scrollLeft()+s.scrollSpeed)))),!1!==n&&V.ui.ddmanager&&!s.dropBehaviour&&V.ui.ddmanager.prepareOffsets(i,t)}}),V.ui.plugin.add("draggable","snap",{start:function(t,e,i){var s=i.options;i.snapElements=[],V(s.snap.constructor!==String?s.snap.items||":data(ui-draggable)":s.snap).each(function(){var t=V(this),e=t.offset();this!==i.element[0]&&i.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:e.top,left:e.left})})},drag:function(t,e,i){for(var s,n,o,a,r,l,h,c,u,d=i.options,p=d.snapTolerance,f=e.offset.left,g=f+i.helperProportions.width,m=e.offset.top,_=m+i.helperProportions.height,v=i.snapElements.length-1;0<=v;v--)l=(r=i.snapElements[v].left-i.margins.left)+i.snapElements[v].width,c=(h=i.snapElements[v].top-i.margins.top)+i.snapElements[v].height,g<r-p||l+p<f||_<h-p||c+p<m||!V.contains(i.snapElements[v].item.ownerDocument,i.snapElements[v].item)?(i.snapElements[v].snapping&&i.options.snap.release&&i.options.snap.release.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=!1):("inner"!==d.snapMode&&(s=Math.abs(h-_)<=p,n=Math.abs(c-m)<=p,o=Math.abs(r-g)<=p,a=Math.abs(l-f)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h-i.helperProportions.height,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r-i.helperProportions.width}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l}).left)),u=s||n||o||a,"outer"!==d.snapMode&&(s=Math.abs(h-m)<=p,n=Math.abs(c-_)<=p,o=Math.abs(r-f)<=p,a=Math.abs(l-g)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c-i.helperProportions.height,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l-i.helperProportions.width}).left)),!i.snapElements[v].snapping&&(s||n||o||a||u)&&i.options.snap.snap&&i.options.snap.snap.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=s||n||o||a||u)}}),V.ui.plugin.add("draggable","stack",{start:function(t,e,i){var s,i=i.options,i=V.makeArray(V(i.stack)).sort(function(t,e){return(parseInt(V(t).css("zIndex"),10)||0)-(parseInt(V(e).css("zIndex"),10)||0)});i.length&&(s=parseInt(V(i[0]).css("zIndex"),10)||0,V(i).each(function(t){V(this).css("zIndex",s+t)}),this.css("zIndex",s+i.length))}}),V.ui.plugin.add("draggable","zIndex",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("zIndex")&&(i._zIndex=e.css("zIndex")),e.css("zIndex",i.zIndex)},stop:function(t,e,i){i=i.options;i._zIndex&&V(e.helper).css("zIndex",i._zIndex)}});V.ui.draggable;V.widget("ui.resizable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,classes:{"ui-resizable-se":"ui-icon ui-icon-gripsmall-diagonal-se"},containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(t){return parseFloat(t)||0},_isNumber:function(t){return!isNaN(parseFloat(t))},_hasScroll:function(t,e){if("hidden"===V(t).css("overflow"))return!1;var i=e&&"left"===e?"scrollLeft":"scrollTop",e=!1;if(0<t[i])return!0;try{t[i]=1,e=0<t[i],t[i]=0}catch(t){}return e},_create:function(){var t,e=this.options,i=this;this._addClass("ui-resizable"),V.extend(this,{_aspectRatio:!!e.aspectRatio,aspectRatio:e.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:e.helper||e.ghost||e.animate?e.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(V("<div class='ui-wrapper'></div>").css({overflow:"hidden",position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,t={marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom"),marginLeft:this.originalElement.css("marginLeft")},this.element.css(t),this.originalElement.css("margin",0),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css(t),this._proportionallyResize()),this._setupHandles(),e.autoHide&&V(this.element).on("mouseenter",function(){e.disabled||(i._removeClass("ui-resizable-autohide"),i._handles.show())}).on("mouseleave",function(){e.disabled||i.resizing||(i._addClass("ui-resizable-autohide"),i._handles.hide())}),this._mouseInit()},_destroy:function(){this._mouseDestroy(),this._addedHandles.remove();function t(t){V(t).removeData("resizable").removeData("ui-resizable").off(".resizable")}var e;return this.elementIsWrapper&&(t(this.element),e=this.element,this.originalElement.css({position:e.css("position"),width:e.outerWidth(),height:e.outerHeight(),top:e.css("top"),left:e.css("left")}).insertAfter(e),e.remove()),this.originalElement.css("resize",this.originalResizeStyle),t(this.originalElement),this},_setOption:function(t,e){switch(this._super(t,e),t){case"handles":this._removeHandles(),this._setupHandles();break;case"aspectRatio":this._aspectRatio=!!e}},_setupHandles:function(){var t,e,i,s,n,o=this.options,a=this;if(this.handles=o.handles||(V(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=V(),this._addedHandles=V(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),i=this.handles.split(","),this.handles={},e=0;e<i.length;e++)s="ui-resizable-"+(t=String.prototype.trim.call(i[e])),n=V("<div>"),this._addClass(n,"ui-resizable-handle "+s),n.css({zIndex:o.zIndex}),this.handles[t]=".ui-resizable-"+t,this.element.children(this.handles[t]).length||(this.element.append(n),this._addedHandles=this._addedHandles.add(n));this._renderAxis=function(t){var e,i,s;for(e in t=t||this.element,this.handles)this.handles[e].constructor===String?this.handles[e]=this.element.children(this.handles[e]).first().show():(this.handles[e].jquery||this.handles[e].nodeType)&&(this.handles[e]=V(this.handles[e]),this._on(this.handles[e],{mousedown:a._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(i=V(this.handles[e],this.element),s=/sw|ne|nw|se|n|s/.test(e)?i.outerHeight():i.outerWidth(),i=["padding",/ne|nw|n/.test(e)?"Top":/se|sw|s/.test(e)?"Bottom":/^e$/.test(e)?"Right":"Left"].join(""),t.css(i,s),this._proportionallyResize()),this._handles=this._handles.add(this.handles[e])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.on("mouseover",function(){a.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),a.axis=n&&n[1]?n[1]:"se")}),o.autoHide&&(this._handles.hide(),this._addClass("ui-resizable-autohide"))},_removeHandles:function(){this._addedHandles.remove()},_mouseCapture:function(t){var e,i,s=!1;for(e in this.handles)(i=V(this.handles[e])[0])!==t.target&&!V.contains(i,t.target)||(s=!0);return!this.options.disabled&&s},_mouseStart:function(t){var e,i,s=this.options,n=this.element;return this.resizing=!0,this._renderProxy(),e=this._num(this.helper.css("left")),i=this._num(this.helper.css("top")),s.containment&&(e+=V(s.containment).scrollLeft()||0,i+=V(s.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:e,top:i},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:n.width(),height:n.height()},this.originalSize=this._helper?{width:n.outerWidth(),height:n.outerHeight()}:{width:n.width(),height:n.height()},this.sizeDiff={width:n.outerWidth()-n.width(),height:n.outerHeight()-n.height()},this.originalPosition={left:e,top:i},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof s.aspectRatio?s.aspectRatio:this.originalSize.width/this.originalSize.height||1,s=V(".ui-resizable-"+this.axis).css("cursor"),V("body").css("cursor","auto"===s?this.axis+"-resize":s),this._addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var e=this.originalMousePosition,i=this.axis,s=t.pageX-e.left||0,e=t.pageY-e.top||0,i=this._change[i];return this._updatePrevProperties(),i&&(e=i.apply(this,[t,s,e]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(e=this._updateRatio(e,t)),e=this._respectSize(e,t),this._updateCache(e),this._propagate("resize",t),e=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),V.isEmptyObject(e)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges())),!1},_mouseStop:function(t){this.resizing=!1;var e,i,s,n=this.options,o=this;return this._helper&&(s=(e=(i=this._proportionallyResizeElements).length&&/textarea/i.test(i[0].nodeName))&&this._hasScroll(i[0],"left")?0:o.sizeDiff.height,i=e?0:o.sizeDiff.width,e={width:o.helper.width()-i,height:o.helper.height()-s},i=parseFloat(o.element.css("left"))+(o.position.left-o.originalPosition.left)||null,s=parseFloat(o.element.css("top"))+(o.position.top-o.originalPosition.top)||null,n.animate||this.element.css(V.extend(e,{top:s,left:i})),o.helper.height(o.size.height),o.helper.width(o.size.width),this._helper&&!n.animate&&this._proportionallyResize()),V("body").css("cursor","auto"),this._removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var t={};return this.position.top!==this.prevPosition.top&&(t.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(t.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(t.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(t.height=this.size.height+"px"),this.helper.css(t),t},_updateVirtualBoundaries:function(t){var e,i,s=this.options,n={minWidth:this._isNumber(s.minWidth)?s.minWidth:0,maxWidth:this._isNumber(s.maxWidth)?s.maxWidth:1/0,minHeight:this._isNumber(s.minHeight)?s.minHeight:0,maxHeight:this._isNumber(s.maxHeight)?s.maxHeight:1/0};(this._aspectRatio||t)&&(e=n.minHeight*this.aspectRatio,i=n.minWidth/this.aspectRatio,s=n.maxHeight*this.aspectRatio,t=n.maxWidth/this.aspectRatio,e>n.minWidth&&(n.minWidth=e),i>n.minHeight&&(n.minHeight=i),s<n.maxWidth&&(n.maxWidth=s),t<n.maxHeight&&(n.maxHeight=t)),this._vBoundaries=n},_updateCache:function(t){this.offset=this.helper.offset(),this._isNumber(t.left)&&(this.position.left=t.left),this._isNumber(t.top)&&(this.position.top=t.top),this._isNumber(t.height)&&(this.size.height=t.height),this._isNumber(t.width)&&(this.size.width=t.width)},_updateRatio:function(t){var e=this.position,i=this.size,s=this.axis;return this._isNumber(t.height)?t.width=t.height*this.aspectRatio:this._isNumber(t.width)&&(t.height=t.width/this.aspectRatio),"sw"===s&&(t.left=e.left+(i.width-t.width),t.top=null),"nw"===s&&(t.top=e.top+(i.height-t.height),t.left=e.left+(i.width-t.width)),t},_respectSize:function(t){var e=this._vBoundaries,i=this.axis,s=this._isNumber(t.width)&&e.maxWidth&&e.maxWidth<t.width,n=this._isNumber(t.height)&&e.maxHeight&&e.maxHeight<t.height,o=this._isNumber(t.width)&&e.minWidth&&e.minWidth>t.width,a=this._isNumber(t.height)&&e.minHeight&&e.minHeight>t.height,r=this.originalPosition.left+this.originalSize.width,l=this.originalPosition.top+this.originalSize.height,h=/sw|nw|w/.test(i),i=/nw|ne|n/.test(i);return o&&(t.width=e.minWidth),a&&(t.height=e.minHeight),s&&(t.width=e.maxWidth),n&&(t.height=e.maxHeight),o&&h&&(t.left=r-e.minWidth),s&&h&&(t.left=r-e.maxWidth),a&&i&&(t.top=l-e.minHeight),n&&i&&(t.top=l-e.maxHeight),t.width||t.height||t.left||!t.top?t.width||t.height||t.top||!t.left||(t.left=null):t.top=null,t},_getPaddingPlusBorderDimensions:function(t){for(var e=0,i=[],s=[t.css("borderTopWidth"),t.css("borderRightWidth"),t.css("borderBottomWidth"),t.css("borderLeftWidth")],n=[t.css("paddingTop"),t.css("paddingRight"),t.css("paddingBottom"),t.css("paddingLeft")];e<4;e++)i[e]=parseFloat(s[e])||0,i[e]+=parseFloat(n[e])||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var t,e=0,i=this.helper||this.element;e<this._proportionallyResizeElements.length;e++)t=this._proportionallyResizeElements[e],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(t)),t.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,e=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||V("<div></div>").css({overflow:"hidden"}),this._addClass(this.helper,this._helper),this.helper.css({width:this.element.outerWidth(),height:this.element.outerHeight(),position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++e.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(t,e){return{width:this.originalSize.width+e}},w:function(t,e){var i=this.originalSize;return{left:this.originalPosition.left+e,width:i.width-e}},n:function(t,e,i){var s=this.originalSize;return{top:this.originalPosition.top+i,height:s.height-i}},s:function(t,e,i){return{height:this.originalSize.height+i}},se:function(t,e,i){return V.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},sw:function(t,e,i){return V.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,e,i]))},ne:function(t,e,i){return V.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,e,i]))},nw:function(t,e,i){return V.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,e,i]))}},_propagate:function(t,e){V.ui.plugin.call(this,t,[e,this.ui()]),"resize"!==t&&this._trigger(t,e,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),V.ui.plugin.add("resizable","animate",{stop:function(e){var i=V(this).resizable("instance"),t=i.options,s=i._proportionallyResizeElements,n=s.length&&/textarea/i.test(s[0].nodeName),o=n&&i._hasScroll(s[0],"left")?0:i.sizeDiff.height,a=n?0:i.sizeDiff.width,n={width:i.size.width-a,height:i.size.height-o},a=parseFloat(i.element.css("left"))+(i.position.left-i.originalPosition.left)||null,o=parseFloat(i.element.css("top"))+(i.position.top-i.originalPosition.top)||null;i.element.animate(V.extend(n,o&&a?{top:o,left:a}:{}),{duration:t.animateDuration,easing:t.animateEasing,step:function(){var t={width:parseFloat(i.element.css("width")),height:parseFloat(i.element.css("height")),top:parseFloat(i.element.css("top")),left:parseFloat(i.element.css("left"))};s&&s.length&&V(s[0]).css({width:t.width,height:t.height}),i._updateCache(t),i._propagate("resize",e)}})}}),V.ui.plugin.add("resizable","containment",{start:function(){var i,s,n=V(this).resizable("instance"),t=n.options,e=n.element,o=t.containment,a=o instanceof V?o.get(0):/parent/.test(o)?e.parent().get(0):o;a&&(n.containerElement=V(a),/document/.test(o)||o===document?(n.containerOffset={left:0,top:0},n.containerPosition={left:0,top:0},n.parentData={element:V(document),left:0,top:0,width:V(document).width(),height:V(document).height()||document.body.parentNode.scrollHeight}):(i=V(a),s=[],V(["Top","Right","Left","Bottom"]).each(function(t,e){s[t]=n._num(i.css("padding"+e))}),n.containerOffset=i.offset(),n.containerPosition=i.position(),n.containerSize={height:i.innerHeight()-s[3],width:i.innerWidth()-s[1]},t=n.containerOffset,e=n.containerSize.height,o=n.containerSize.width,o=n._hasScroll(a,"left")?a.scrollWidth:o,e=n._hasScroll(a)?a.scrollHeight:e,n.parentData={element:a,left:t.left,top:t.top,width:o,height:e}))},resize:function(t){var e=V(this).resizable("instance"),i=e.options,s=e.containerOffset,n=e.position,o=e._aspectRatio||t.shiftKey,a={top:0,left:0},r=e.containerElement,t=!0;r[0]!==document&&/static/.test(r.css("position"))&&(a=s),n.left<(e._helper?s.left:0)&&(e.size.width=e.size.width+(e._helper?e.position.left-s.left:e.position.left-a.left),o&&(e.size.height=e.size.width/e.aspectRatio,t=!1),e.position.left=i.helper?s.left:0),n.top<(e._helper?s.top:0)&&(e.size.height=e.size.height+(e._helper?e.position.top-s.top:e.position.top),o&&(e.size.width=e.size.height*e.aspectRatio,t=!1),e.position.top=e._helper?s.top:0),i=e.containerElement.get(0)===e.element.parent().get(0),n=/relative|absolute/.test(e.containerElement.css("position")),i&&n?(e.offset.left=e.parentData.left+e.position.left,e.offset.top=e.parentData.top+e.position.top):(e.offset.left=e.element.offset().left,e.offset.top=e.element.offset().top),n=Math.abs(e.sizeDiff.width+(e._helper?e.offset.left-a.left:e.offset.left-s.left)),s=Math.abs(e.sizeDiff.height+(e._helper?e.offset.top-a.top:e.offset.top-s.top)),n+e.size.width>=e.parentData.width&&(e.size.width=e.parentData.width-n,o&&(e.size.height=e.size.width/e.aspectRatio,t=!1)),s+e.size.height>=e.parentData.height&&(e.size.height=e.parentData.height-s,o&&(e.size.width=e.size.height*e.aspectRatio,t=!1)),t||(e.position.left=e.prevPosition.left,e.position.top=e.prevPosition.top,e.size.width=e.prevSize.width,e.size.height=e.prevSize.height)},stop:function(){var t=V(this).resizable("instance"),e=t.options,i=t.containerOffset,s=t.containerPosition,n=t.containerElement,o=V(t.helper),a=o.offset(),r=o.outerWidth()-t.sizeDiff.width,o=o.outerHeight()-t.sizeDiff.height;t._helper&&!e.animate&&/relative/.test(n.css("position"))&&V(this).css({left:a.left-s.left-i.left,width:r,height:o}),t._helper&&!e.animate&&/static/.test(n.css("position"))&&V(this).css({left:a.left-s.left-i.left,width:r,height:o})}}),V.ui.plugin.add("resizable","alsoResize",{start:function(){var t=V(this).resizable("instance").options;V(t.alsoResize).each(function(){var t=V(this);t.data("ui-resizable-alsoresize",{width:parseFloat(t.width()),height:parseFloat(t.height()),left:parseFloat(t.css("left")),top:parseFloat(t.css("top"))})})},resize:function(t,i){var e=V(this).resizable("instance"),s=e.options,n=e.originalSize,o=e.originalPosition,a={height:e.size.height-n.height||0,width:e.size.width-n.width||0,top:e.position.top-o.top||0,left:e.position.left-o.left||0};V(s.alsoResize).each(function(){var t=V(this),s=V(this).data("ui-resizable-alsoresize"),n={},e=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];V.each(e,function(t,e){var i=(s[e]||0)+(a[e]||0);i&&0<=i&&(n[e]=i||null)}),t.css(n)})},stop:function(){V(this).removeData("ui-resizable-alsoresize")}}),V.ui.plugin.add("resizable","ghost",{start:function(){var t=V(this).resizable("instance"),e=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:e.height,width:e.width,margin:0,left:0,top:0}),t._addClass(t.ghost,"ui-resizable-ghost"),!1!==V.uiBackCompat&&"string"==typeof t.options.ghost&&t.ghost.addClass(this.options.ghost),t.ghost.appendTo(t.helper)},resize:function(){var t=V(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=V(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),V.ui.plugin.add("resizable","grid",{resize:function(){var t,e=V(this).resizable("instance"),i=e.options,s=e.size,n=e.originalSize,o=e.originalPosition,a=e.axis,r="number"==typeof i.grid?[i.grid,i.grid]:i.grid,l=r[0]||1,h=r[1]||1,c=Math.round((s.width-n.width)/l)*l,u=Math.round((s.height-n.height)/h)*h,d=n.width+c,p=n.height+u,f=i.maxWidth&&i.maxWidth<d,g=i.maxHeight&&i.maxHeight<p,m=i.minWidth&&i.minWidth>d,s=i.minHeight&&i.minHeight>p;i.grid=r,m&&(d+=l),s&&(p+=h),f&&(d-=l),g&&(p-=h),/^(se|s|e)$/.test(a)?(e.size.width=d,e.size.height=p):/^(ne)$/.test(a)?(e.size.width=d,e.size.height=p,e.position.top=o.top-u):/^(sw)$/.test(a)?(e.size.width=d,e.size.height=p,e.position.left=o.left-c):((p-h<=0||d-l<=0)&&(t=e._getPaddingPlusBorderDimensions(this)),0<p-h?(e.size.height=p,e.position.top=o.top-u):(p=h-t.height,e.size.height=p,e.position.top=o.top+n.height-p),0<d-l?(e.size.width=d,e.position.left=o.left-c):(d=l-t.width,e.size.width=d,e.position.left=o.left+n.width-d))}});V.ui.resizable;V.widget("ui.dialog",{version:"1.13.2",options:{appendTo:"body",autoOpen:!0,buttons:[],classes:{"ui-dialog":"ui-corner-all","ui-dialog-titlebar":"ui-corner-all"},closeOnEscape:!0,closeText:"Close",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var e=V(this).css(t).offset().top;e<0&&V(this).css("top",t.top-e)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),null==this.options.title&&null!=this.originalTitle&&(this.options.title=this.originalTitle),this.options.disabled&&(this.options.disabled=!1),this._createWrapper(),this.element.show().removeAttr("title").appendTo(this.uiDialog),this._addClass("ui-dialog-content","ui-widget-content"),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&V.fn.draggable&&this._makeDraggable(),this.options.resizable&&V.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?V(t):this.document.find(t||"body").eq(0)},_destroy:function(){var t,e=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().css(this.originalCss).detach(),this.uiDialog.remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),(t=e.parent.children().eq(e.index)).length&&t[0]!==this.element[0]?t.before(this.element):e.parent.append(this.element)},widget:function(){return this.uiDialog},disable:V.noop,enable:V.noop,close:function(t){var e=this;this._isOpen&&!1!==this._trigger("beforeClose",t)&&(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),this.opener.filter(":focusable").trigger("focus").length||V.ui.safeBlur(V.ui.safeActiveElement(this.document[0])),this._hide(this.uiDialog,this.options.hide,function(){e._trigger("close",t)}))},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,e){var i=!1,s=this.uiDialog.siblings(".ui-front:visible").map(function(){return+V(this).css("z-index")}).get(),s=Math.max.apply(null,s);return s>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",s+1),i=!0),i&&!e&&this._trigger("focus",t),i},open:function(){var t=this;this._isOpen?this._moveToTop()&&this._focusTabbable():(this._isOpen=!0,this.opener=V(V.ui.safeActiveElement(this.document[0])),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"))},_focusTabbable:function(){var t=this._focusedElement;(t=!(t=!(t=!(t=!(t=t||this.element.find("[autofocus]")).length?this.element.find(":tabbable"):t).length?this.uiDialogButtonPane.find(":tabbable"):t).length?this.uiDialogTitlebarClose.filter(":tabbable"):t).length?this.uiDialog:t).eq(0).trigger("focus")},_restoreTabbableFocus:function(){var t=V.ui.safeActiveElement(this.document[0]);this.uiDialog[0]===t||V.contains(this.uiDialog[0],t)||this._focusTabbable()},_keepFocus:function(t){t.preventDefault(),this._restoreTabbableFocus(),this._delay(this._restoreTabbableFocus)},_createWrapper:function(){this.uiDialog=V("<div>").hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._addClass(this.uiDialog,"ui-dialog","ui-widget ui-widget-content ui-front"),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===V.ui.keyCode.ESCAPE)return t.preventDefault(),void this.close(t);var e,i,s;t.keyCode!==V.ui.keyCode.TAB||t.isDefaultPrevented()||(e=this.uiDialog.find(":tabbable"),i=e.first(),s=e.last(),t.target!==s[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==i[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){s.trigger("focus")}),t.preventDefault()):(this._delay(function(){i.trigger("focus")}),t.preventDefault()))},mousedown:function(t){this._moveToTop(t)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=V("<div>"),this._addClass(this.uiDialogTitlebar,"ui-dialog-titlebar","ui-widget-header ui-helper-clearfix"),this._on(this.uiDialogTitlebar,{mousedown:function(t){V(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.trigger("focus")}}),this.uiDialogTitlebarClose=V("<button type='button'></button>").button({label:V("<a>").text(this.options.closeText).html(),icon:"ui-icon-closethick",showLabel:!1}).appendTo(this.uiDialogTitlebar),this._addClass(this.uiDialogTitlebarClose,"ui-dialog-titlebar-close"),this._on(this.uiDialogTitlebarClose,{click:function(t){t.preventDefault(),this.close(t)}}),t=V("<span>").uniqueId().prependTo(this.uiDialogTitlebar),this._addClass(t,"ui-dialog-title"),this._title(t),this.uiDialogTitlebar.prependTo(this.uiDialog),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(t){this.options.title?t.text(this.options.title):t.html("&#160;")},_createButtonPane:function(){this.uiDialogButtonPane=V("<div>"),this._addClass(this.uiDialogButtonPane,"ui-dialog-buttonpane","ui-widget-content ui-helper-clearfix"),this.uiButtonSet=V("<div>").appendTo(this.uiDialogButtonPane),this._addClass(this.uiButtonSet,"ui-dialog-buttonset"),this._createButtons()},_createButtons:function(){var s=this,t=this.options.buttons;this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),V.isEmptyObject(t)||Array.isArray(t)&&!t.length?this._removeClass(this.uiDialog,"ui-dialog-buttons"):(V.each(t,function(t,e){var i;e=V.extend({type:"button"},e="function"==typeof e?{click:e,text:t}:e),i=e.click,t={icon:e.icon,iconPosition:e.iconPosition,showLabel:e.showLabel,icons:e.icons,text:e.text},delete e.click,delete e.icon,delete e.iconPosition,delete e.showLabel,delete e.icons,"boolean"==typeof e.text&&delete e.text,V("<button></button>",e).button(t).appendTo(s.uiButtonSet).on("click",function(){i.apply(s.element[0],arguments)})}),this._addClass(this.uiDialog,"ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog))},_makeDraggable:function(){var n=this,o=this.options;function a(t){return{position:t.position,offset:t.offset}}this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(t,e){n._addClass(V(this),"ui-dialog-dragging"),n._blockFrames(),n._trigger("dragStart",t,a(e))},drag:function(t,e){n._trigger("drag",t,a(e))},stop:function(t,e){var i=e.offset.left-n.document.scrollLeft(),s=e.offset.top-n.document.scrollTop();o.position={my:"left top",at:"left"+(0<=i?"+":"")+i+" top"+(0<=s?"+":"")+s,of:n.window},n._removeClass(V(this),"ui-dialog-dragging"),n._unblockFrames(),n._trigger("dragStop",t,a(e))}})},_makeResizable:function(){var n=this,o=this.options,t=o.resizable,e=this.uiDialog.css("position"),t="string"==typeof t?t:"n,e,s,w,se,sw,ne,nw";function a(t){return{originalPosition:t.originalPosition,originalSize:t.originalSize,position:t.position,size:t.size}}this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:o.maxWidth,maxHeight:o.maxHeight,minWidth:o.minWidth,minHeight:this._minHeight(),handles:t,start:function(t,e){n._addClass(V(this),"ui-dialog-resizing"),n._blockFrames(),n._trigger("resizeStart",t,a(e))},resize:function(t,e){n._trigger("resize",t,a(e))},stop:function(t,e){var i=n.uiDialog.offset(),s=i.left-n.document.scrollLeft(),i=i.top-n.document.scrollTop();o.height=n.uiDialog.height(),o.width=n.uiDialog.width(),o.position={my:"left top",at:"left"+(0<=s?"+":"")+s+" top"+(0<=i?"+":"")+i,of:n.window},n._removeClass(V(this),"ui-dialog-resizing"),n._unblockFrames(),n._trigger("resizeStop",t,a(e))}}).css("position",e)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=V(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),e=V.inArray(this,t);-1!==e&&t.splice(e,1)},_trackingInstances:function(){var t=this.document.data("ui-dialog-instances");return t||this.document.data("ui-dialog-instances",t=[]),t},_minHeight:function(){var t=this.options;return"auto"===t.height?t.minHeight:Math.min(t.minHeight,t.height)},_position:function(){var t=this.uiDialog.is(":visible");t||this.uiDialog.show(),this.uiDialog.position(this.options.position),t||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};V.each(t,function(t,e){i._setOption(t,e),t in i.sizeRelatedOptions&&(s=!0),t in i.resizableRelatedOptions&&(n[t]=e)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(t,e){var i,s=this.uiDialog;"disabled"!==t&&(this._super(t,e),"appendTo"===t&&this.uiDialog.appendTo(this._appendTo()),"buttons"===t&&this._createButtons(),"closeText"===t&&this.uiDialogTitlebarClose.button({label:V("<a>").text(""+this.options.closeText).html()}),"draggable"===t&&((i=s.is(":data(ui-draggable)"))&&!e&&s.draggable("destroy"),!i&&e&&this._makeDraggable()),"position"===t&&this._position(),"resizable"===t&&((i=s.is(":data(ui-resizable)"))&&!e&&s.resizable("destroy"),i&&"string"==typeof e&&s.resizable("option","handles",e),i||!1===e||this._makeResizable()),"title"===t&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var t,e,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),t=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),e=Math.max(0,s.minHeight-t),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-t):"none","auto"===s.height?this.element.css({minHeight:e,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-t)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=V(this);return V("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return!!V(t.target).closest(".ui-dialog").length||!!V(t.target).closest(".ui-datepicker").length},_createOverlay:function(){var i,s;this.options.modal&&(i=V.fn.jquery.substring(0,4),s=!0,this._delay(function(){s=!1}),this.document.data("ui-dialog-overlays")||this.document.on("focusin.ui-dialog",function(t){var e;s||((e=this._trackingInstances()[0])._allowInteraction(t)||(t.preventDefault(),e._focusTabbable(),"3.4."!==i&&"3.5."!==i||e._delay(e._restoreTabbableFocus)))}.bind(this)),this.overlay=V("<div>").appendTo(this._appendTo()),this._addClass(this.overlay,null,"ui-widget-overlay ui-front"),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1))},_destroyOverlay:function(){var t;this.options.modal&&this.overlay&&((t=this.document.data("ui-dialog-overlays")-1)?this.document.data("ui-dialog-overlays",t):(this.document.off("focusin.ui-dialog"),this.document.removeData("ui-dialog-overlays")),this.overlay.remove(),this.overlay=null)}}),!1!==V.uiBackCompat&&V.widget("ui.dialog",V.ui.dialog,{options:{dialogClass:""},_createWrapper:function(){this._super(),this.uiDialog.addClass(this.options.dialogClass)},_setOption:function(t,e){"dialogClass"===t&&this.uiDialog.removeClass(this.options.dialogClass).addClass(e),this._superApply(arguments)}});V.ui.dialog;function lt(t,e,i){return e<=t&&t<e+i}V.widget("ui.droppable",{version:"1.13.2",widgetEventPrefix:"drop",options:{accept:"*",addClasses:!0,greedy:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,e=this.options,i=e.accept;this.isover=!1,this.isout=!0,this.accept="function"==typeof i?i:function(t){return t.is(i)},this.proportions=function(){if(!arguments.length)return t=t||{width:this.element[0].offsetWidth,height:this.element[0].offsetHeight};t=arguments[0]},this._addToManager(e.scope),e.addClasses&&this._addClass("ui-droppable")},_addToManager:function(t){V.ui.ddmanager.droppables[t]=V.ui.ddmanager.droppables[t]||[],V.ui.ddmanager.droppables[t].push(this)},_splice:function(t){for(var e=0;e<t.length;e++)t[e]===this&&t.splice(e,1)},_destroy:function(){var t=V.ui.ddmanager.droppables[this.options.scope];this._splice(t)},_setOption:function(t,e){var i;"accept"===t?this.accept="function"==typeof e?e:function(t){return t.is(e)}:"scope"===t&&(i=V.ui.ddmanager.droppables[this.options.scope],this._splice(i),this._addToManager(e)),this._super(t,e)},_activate:function(t){var e=V.ui.ddmanager.current;this._addActiveClass(),e&&this._trigger("activate",t,this.ui(e))},_deactivate:function(t){var e=V.ui.ddmanager.current;this._removeActiveClass(),e&&this._trigger("deactivate",t,this.ui(e))},_over:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._addHoverClass(),this._trigger("over",t,this.ui(e)))},_out:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._removeHoverClass(),this._trigger("out",t,this.ui(e)))},_drop:function(e,t){var i=t||V.ui.ddmanager.current,s=!1;return!(!i||(i.currentItem||i.element)[0]===this.element[0])&&(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var t=V(this).droppable("instance");if(t.options.greedy&&!t.options.disabled&&t.options.scope===i.options.scope&&t.accept.call(t.element[0],i.currentItem||i.element)&&V.ui.intersect(i,V.extend(t,{offset:t.element.offset()}),t.options.tolerance,e))return!(s=!0)}),!s&&(!!this.accept.call(this.element[0],i.currentItem||i.element)&&(this._removeActiveClass(),this._removeHoverClass(),this._trigger("drop",e,this.ui(i)),this.element)))},ui:function(t){return{draggable:t.currentItem||t.element,helper:t.helper,position:t.position,offset:t.positionAbs}},_addHoverClass:function(){this._addClass("ui-droppable-hover")},_removeHoverClass:function(){this._removeClass("ui-droppable-hover")},_addActiveClass:function(){this._addClass("ui-droppable-active")},_removeActiveClass:function(){this._removeClass("ui-droppable-active")}}),V.ui.intersect=function(t,e,i,s){if(!e.offset)return!1;var n=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,a=n+t.helperProportions.width,r=o+t.helperProportions.height,l=e.offset.left,h=e.offset.top,c=l+e.proportions().width,u=h+e.proportions().height;switch(i){case"fit":return l<=n&&a<=c&&h<=o&&r<=u;case"intersect":return l<n+t.helperProportions.width/2&&a-t.helperProportions.width/2<c&&h<o+t.helperProportions.height/2&&r-t.helperProportions.height/2<u;case"pointer":return lt(s.pageY,h,e.proportions().height)&&lt(s.pageX,l,e.proportions().width);case"touch":return(h<=o&&o<=u||h<=r&&r<=u||o<h&&u<r)&&(l<=n&&n<=c||l<=a&&a<=c||n<l&&c<a);default:return!1}},!(V.ui.ddmanager={current:null,droppables:{default:[]},prepareOffsets:function(t,e){var i,s,n=V.ui.ddmanager.droppables[t.options.scope]||[],o=e?e.type:null,a=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();t:for(i=0;i<n.length;i++)if(!(n[i].options.disabled||t&&!n[i].accept.call(n[i].element[0],t.currentItem||t.element))){for(s=0;s<a.length;s++)if(a[s]===n[i].element[0]){n[i].proportions().height=0;continue t}n[i].visible="none"!==n[i].element.css("display"),n[i].visible&&("mousedown"===o&&n[i]._activate.call(n[i],e),n[i].offset=n[i].element.offset(),n[i].proportions({width:n[i].element[0].offsetWidth,height:n[i].element[0].offsetHeight}))}},drop:function(t,e){var i=!1;return V.each((V.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&V.ui.intersect(t,this,this.options.tolerance,e)&&(i=this._drop.call(this,e)||i),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,e)))}),i},dragStart:function(t,e){t.element.parentsUntil("body").on("scroll.droppable",function(){t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)})},drag:function(n,o){n.options.refreshPositions&&V.ui.ddmanager.prepareOffsets(n,o),V.each(V.ui.ddmanager.droppables[n.options.scope]||[],function(){var t,e,i,s;this.options.disabled||this.greedyChild||!this.visible||(s=!(i=V.ui.intersect(n,this,this.options.tolerance,o))&&this.isover?"isout":i&&!this.isover?"isover":null)&&(this.options.greedy&&(e=this.options.scope,(i=this.element.parents(":data(ui-droppable)").filter(function(){return V(this).droppable("instance").options.scope===e})).length&&((t=V(i[0]).droppable("instance")).greedyChild="isover"===s)),t&&"isover"===s&&(t.isover=!1,t.isout=!0,t._out.call(t,o)),this[s]=!0,this["isout"===s?"isover":"isout"]=!1,this["isover"===s?"_over":"_out"].call(this,o),t&&"isout"===s&&(t.isout=!1,t.isover=!0,t._over.call(t,o)))})},dragStop:function(t,e){t.element.parentsUntil("body").off("scroll.droppable"),t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)}})!==V.uiBackCompat&&V.widget("ui.droppable",V.ui.droppable,{options:{hoverClass:!1,activeClass:!1},_addActiveClass:function(){this._super(),this.options.activeClass&&this.element.addClass(this.options.activeClass)},_removeActiveClass:function(){this._super(),this.options.activeClass&&this.element.removeClass(this.options.activeClass)},_addHoverClass:function(){this._super(),this.options.hoverClass&&this.element.addClass(this.options.hoverClass)},_removeHoverClass:function(){this._super(),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass)}});V.ui.droppable,V.widget("ui.progressbar",{version:"1.13.2",options:{classes:{"ui-progressbar":"ui-corner-all","ui-progressbar-value":"ui-corner-left","ui-progressbar-complete":"ui-corner-right"},max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.attr({role:"progressbar","aria-valuemin":this.min}),this._addClass("ui-progressbar","ui-widget ui-widget-content"),this.valueDiv=V("<div>").appendTo(this.element),this._addClass(this.valueDiv,"ui-progressbar-value","ui-widget-header"),this._refreshValue()},_destroy:function(){this.element.removeAttr("role aria-valuemin aria-valuemax aria-valuenow"),this.valueDiv.remove()},value:function(t){if(void 0===t)return this.options.value;this.options.value=this._constrainedValue(t),this._refreshValue()},_constrainedValue:function(t){return void 0===t&&(t=this.options.value),this.indeterminate=!1===t,"number"!=typeof t&&(t=0),!this.indeterminate&&Math.min(this.options.max,Math.max(this.min,t))},_setOptions:function(t){var e=t.value;delete t.value,this._super(t),this.options.value=this._constrainedValue(e),this._refreshValue()},_setOption:function(t,e){"max"===t&&(e=Math.max(this.min,e)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,e=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).width(e.toFixed(0)+"%"),this._toggleClass(this.valueDiv,"ui-progressbar-complete",null,t===this.options.max)._toggleClass("ui-progressbar-indeterminate",null,this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=V("<div>").appendTo(this.valueDiv),this._addClass(this.overlayDiv,"ui-progressbar-overlay"))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),V.widget("ui.selectable",V.ui.mouse,{version:"1.13.2",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var i=this;this._addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){i.elementPos=V(i.element[0]).offset(),i.selectees=V(i.options.filter,i.element[0]),i._addClass(i.selectees,"ui-selectee"),i.selectees.each(function(){var t=V(this),e=t.offset(),e={left:e.left-i.elementPos.left,top:e.top-i.elementPos.top};V.data(this,"selectable-item",{element:this,$element:t,left:e.left,top:e.top,right:e.left+t.outerWidth(),bottom:e.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this._mouseInit(),this.helper=V("<div>"),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return l<a&&(t=l,l=a,a=t),h<r&&(t=h,h=r,r=t),this.helper.css({left:a,top:r,width:l-a,height:h-r}),this.selectees.each(function(){var t=V.data(this,"selectable-item"),e=!1,i={};t&&t.element!==n.element[0]&&(i.left=t.left+n.elementPos.left,i.right=t.right+n.elementPos.left,i.top=t.top+n.elementPos.top,i.bottom=t.bottom+n.elementPos.top,"touch"===o.tolerance?e=!(i.left>l||i.right<a||i.top>h||i.bottom<r):"fit"===o.tolerance&&(e=i.left>a&&i.right<l&&i.top>r&&i.bottom<h),e?(t.selected&&(n._removeClass(t.$element,"ui-selected"),t.selected=!1),t.unselecting&&(n._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1),t.selecting||(n._addClass(t.$element,"ui-selecting"),t.selecting=!0,n._trigger("selecting",s,{selecting:t.element}))):(t.selecting&&((s.metaKey||s.ctrlKey)&&t.startselected?(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,n._addClass(t.$element,"ui-selected"),t.selected=!0):(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,t.startselected&&(n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0),n._trigger("unselecting",s,{unselecting:t.element}))),t.selected&&(s.metaKey||s.ctrlKey||t.startselected||(n._removeClass(t.$element,"ui-selected"),t.selected=!1,n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,n._trigger("unselecting",s,{unselecting:t.element})))))}),!1}},_mouseStop:function(e){var i=this;return this.dragged=!1,V(".ui-unselecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1,t.startselected=!1,i._trigger("unselected",e,{unselected:t.element})}),V(".ui-selecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-selecting")._addClass(t.$element,"ui-selected"),t.selecting=!1,t.selected=!0,t.startselected=!0,i._trigger("selected",e,{selected:t.element})}),this._trigger("stop",e),this.helper.remove(),!1}}),V.widget("ui.selectmenu",[V.ui.formResetMixin,{version:"1.13.2",defaultElement:"<select>",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("<span>",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("<span>").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("<div>").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("<span>");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("<li>",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("<li>"),s=V("<div>",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html("&#160;")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.trigger("focus"))},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t<n;t++)s.push("<span tabindex='0'></span>");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("<div>").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e<s||s===e&&(t===r._lastChangedValue||r.values(t)===l.min))&&(s=e,n=V(this),o=t)}),!1!==this._start(t,o)&&(this._mouseSliding=!0,this._handleIndex=o,this._addClass(n,null,"ui-state-active"),n.trigger("focus"),e=n.offset(),a=!V(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=a?{left:0,top:0}:{left:t.pageX-e.left-n.width()/2,top:t.pageY-e.top-n.height()/2-(parseInt(n.css("borderTopWidth"),10)||0)-(parseInt(n.css("borderBottomWidth"),10)||0)+(parseInt(n.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,i),this._animateOff=!0))},_mouseStart:function(){return!0},_mouseDrag:function(t){var e={x:t.pageX,y:t.pageY},e=this._normValueFromMouse(e);return this._slide(t,this._handleIndex,e),!1},_mouseStop:function(t){return this._removeClass(this.handles,null,"ui-state-active"),this._mouseSliding=!1,this._stop(t,this._handleIndex),this._change(t,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(t){var e,t="horizontal"===this.orientation?(e=this.elementSize.width,t.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(e=this.elementSize.height,t.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),t=t/e;return(t=1<t?1:t)<0&&(t=0),"vertical"===this.orientation&&(t=1-t),e=this._valueMax()-this._valueMin(),e=this._valueMin()+t*e,this._trimAlignValue(e)},_uiHash:function(t,e,i){var s={handle:this.handles[t],handleIndex:t,value:void 0!==e?e:this.value()};return this._hasMultipleValues()&&(s.value=void 0!==e?e:this.values(t),s.values=i||this.values()),s},_hasMultipleValues:function(){return this.options.values&&this.options.values.length},_start:function(t,e){return this._trigger("start",t,this._uiHash(e))},_slide:function(t,e,i){var s,n=this.value(),o=this.values();this._hasMultipleValues()&&(s=this.values(e?0:1),n=this.values(e),2===this.options.values.length&&!0===this.options.range&&(i=0===e?Math.min(s,i):Math.max(s,i)),o[e]=i),i!==n&&!1!==this._trigger("slide",t,this._uiHash(e,i,o))&&(this._hasMultipleValues()?this.values(e,i):this.value(i))},_stop:function(t,e){this._trigger("stop",t,this._uiHash(e))},_change:function(t,e){this._keySliding||this._mouseSliding||(this._lastChangedValue=e,this._trigger("change",t,this._uiHash(e)))},value:function(t){return arguments.length?(this.options.value=this._trimAlignValue(t),this._refreshValue(),void this._change(null,0)):this._value()},values:function(t,e){var i,s,n;if(1<arguments.length)return this.options.values[t]=this._trimAlignValue(e),this._refreshValue(),void this._change(null,t);if(!arguments.length)return this._values();if(!Array.isArray(t))return this._hasMultipleValues()?this._values(t):this.value();for(i=this.options.values,s=t,n=0;n<i.length;n+=1)i[n]=this._trimAlignValue(s[n]),this._change(null,n);this._refreshValue()},_setOption:function(t,e){var i,s=0;switch("range"===t&&!0===this.options.range&&("min"===e?(this.options.value=this._values(0),this.options.values=null):"max"===e&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),Array.isArray(this.options.values)&&(s=this.options.values.length),this._super(t,e),t){case"orientation":this._detectOrientation(),this._removeClass("ui-slider-horizontal ui-slider-vertical")._addClass("ui-slider-"+this.orientation),this._refreshValue(),this.options.range&&this._refreshRange(e),this.handles.css("horizontal"===e?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),i=s-1;0<=i;i--)this._change(null,i);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_setOptionDisabled:function(t){this._super(t),this._toggleClass(null,"ui-state-disabled",!!t)},_value:function(){var t=this.options.value;return t=this._trimAlignValue(t)},_values:function(t){var e,i;if(arguments.length)return t=this.options.values[t],t=this._trimAlignValue(t);if(this._hasMultipleValues()){for(e=this.options.values.slice(),i=0;i<e.length;i+=1)e[i]=this._trimAlignValue(e[i]);return e}return[]},_trimAlignValue:function(t){if(t<=this._valueMin())return this._valueMin();if(t>=this._valueMax())return this._valueMax();var e=0<this.options.step?this.options.step:1,i=(t-this._valueMin())%e,t=t-i;return 2*Math.abs(i)>=e&&(t+=0<i?e:-e),parseFloat(t.toFixed(5))},_calculateNewMax:function(){var t=this.options.max,e=this._valueMin(),i=this.options.step;(t=Math.round((t-e)/i)*i+e)>this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t<e+i},_isFloating:function(t){return/left|right/.test(t.css("float"))||/inline|table-cell/.test(t.css("display"))},_create:function(){this.containerCache={},this._addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(t,e){this._super(t,e),"handle"===t&&this._setHandleClassName()},_setHandleClassName:function(){var t=this;this._removeClass(this.element.find(".ui-sortable-handle"),"ui-sortable-handle"),V.each(this.items,function(){t._addClass(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item,"ui-sortable-handle")})},_destroy:function(){this._mouseDestroy();for(var t=this.items.length-1;0<=t;t--)this.items[t].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,e){var i=null,s=!1,n=this;return!this.reverting&&(!this.options.disabled&&"static"!==this.options.type&&(this._refreshItems(t),V(t.target).parents().each(function(){if(V.data(this,n.widgetName+"-item")===n)return i=V(this),!1}),!!(i=V.data(t.target,n.widgetName+"-item")===n?V(t.target):i)&&(!(this.options.handle&&!e&&(V(this.options.handle,i).find("*").addBack().each(function(){this===t.target&&(s=!0)}),!s))&&(this.currentItem=i,this._removeCurrentsFromItems(),!0))))},_mouseStart:function(t,e,i){var s,n,o=this.options;if((this.currentContainer=this).refreshPositions(),this.appendTo=V("parent"!==o.appendTo?o.appendTo:this.currentItem.parent()),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},V.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),this.scrollParent=this.placeholder.scrollParent(),V.extend(this.offset,{parent:this._getParentOffset()}),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(n=this.document.find("body"),this.storedCursor=n.css("cursor"),n.css("cursor",o.cursor),this.storedStylesheet=V("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<e.scrollSensitivity?this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop+e.scrollSpeed:t.pageY-this.overflowOffset.top<e.scrollSensitivity&&(this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop-e.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<e.scrollSensitivity?this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft+e.scrollSpeed:t.pageX-this.overflowOffset.left<e.scrollSensitivity&&(this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft-e.scrollSpeed)):(t.pageY-this.document.scrollTop()<e.scrollSensitivity?i=this.document.scrollTop(this.document.scrollTop()-e.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<e.scrollSensitivity&&(i=this.document.scrollTop(this.document.scrollTop()+e.scrollSpeed)),t.pageX-this.document.scrollLeft()<e.scrollSensitivity?i=this.document.scrollLeft(this.document.scrollLeft()-e.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<e.scrollSensitivity&&(i=this.document.scrollLeft(this.document.scrollLeft()+e.scrollSpeed))),i},_mouseDrag:function(t){var e,i,s,n,o=this.options;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),o.scroll&&!1!==this._scroll(t)&&(this._refreshItemPositions(!0),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t)),this.dragDirection={vertical:this._getDragVerticalDirection(),horizontal:this._getDragHorizontalDirection()},e=this.items.length-1;0<=e;e--)if(s=(i=this.items[e]).item[0],(n=this._intersectsWithPointer(i))&&i.instance===this.currentContainer&&!(s===this.currentItem[0]||this.placeholder[1===n?"next":"prev"]()[0]===s||V.contains(this.placeholder[0],s)||"semi-dynamic"===this.options.type&&V.contains(this.element[0],s))){if(this.direction=1===n?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(i))break;this._rearrange(t,i),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),V.ui.ddmanager&&V.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,e){var i,s,n,o;if(t)return V.ui.ddmanager&&!this.options.dropBehaviour&&V.ui.ddmanager.drop(this,t),this.options.revert?(s=(i=this).placeholder.offset(),o={},(n=this.options.axis)&&"x"!==n||(o.left=s.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),n&&"y"!==n||(o.top=s.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,V(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){i._clear(t)})):this._clear(t,e),!1},cancel:function(){if(this.dragging){this._mouseUp(new V.Event("mouseup",{target:null})),"original"===this.options.helper?(this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")):this.currentItem.show();for(var t=this.containers.length-1;0<=t;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),V.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?V(this.domPosition.prev).after(this.currentItem):V(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(e){var t=this._getItemsAsjQuery(e&&e.connected),i=[];return e=e||{},V(t).each(function(){var t=(V(e.item||this).attr(e.attribute||"id")||"").match(e.expression||/(.+)[\-=_](.+)/);t&&i.push((e.key||t[1]+"[]")+"="+(e.key&&e.expression?t[1]:t[2]))}),!i.length&&e.key&&i.push(e.key+"="),i.join("&")},toArray:function(t){var e=this._getItemsAsjQuery(t&&t.connected),i=[];return t=t||{},e.each(function(){i.push(V(t.item||this).attr(t.attribute||"id")||"")}),i},_intersectsWith:function(t){var e=this.positionAbs.left,i=e+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,o=t.left,a=o+t.width,r=t.top,l=r+t.height,h=this.offset.click.top,c=this.offset.click.left,h="x"===this.options.axis||r<s+h&&s+h<l,c="y"===this.options.axis||o<e+c&&e+c<a;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>t[this.floating?"width":"height"]?h&&c:o<e+this.helperProportions.width/2&&i-this.helperProportions.width/2<a&&r<s+this.helperProportions.height/2&&n-this.helperProportions.height/2<l},_intersectsWithPointer:function(t){var e="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top,t.height),t="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left,t.width);return!(!e||!t)&&(e=this.dragDirection.vertical,t=this.dragDirection.horizontal,this.floating?"right"===t||"down"===e?2:1:e&&("down"===e?2:1))},_intersectsWithSides:function(t){var e=this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top+t.height/2,t.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left+t.width/2,t.width),s=this.dragDirection.vertical,t=this.dragDirection.horizontal;return this.floating&&t?"right"===t&&i||"left"===t&&!i:s&&("down"===s&&e||"up"===s&&!e)},_getDragVerticalDirection:function(){var t=this.positionAbs.top-this.lastPositionAbs.top;return 0!=t&&(0<t?"down":"up")},_getDragHorizontalDirection:function(){var t=this.positionAbs.left-this.lastPositionAbs.left;return 0!=t&&(0<t?"right":"left")},refresh:function(t){return this._refreshItems(t),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var t=this.options;return t.connectWith.constructor===String?[t.connectWith]:t.connectWith},_getItemsAsjQuery:function(t){var e,i,s,n,o=[],a=[],r=this._connectWith();if(r&&t)for(e=r.length-1;0<=e;e--)for(i=(s=V(r[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&a.push(["function"==typeof n.options.items?n.options.items.call(n.element):V(n.options.items,n.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),n]);function l(){o.push(this)}for(a.push(["function"==typeof this.options.items?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):V(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),e=a.length-1;0<=e;e--)a[e][0].each(l);return V(o)},_removeCurrentsFromItems:function(){var i=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=V.grep(this.items,function(t){for(var e=0;e<i.length;e++)if(i[e]===t.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var e,i,s,n,o,a,r,l,h=this.items,c=[["function"==typeof this.options.items?this.options.items.call(this.element[0],t,{item:this.currentItem}):V(this.options.items,this.element),this]],u=this._connectWith();if(u&&this.ready)for(e=u.length-1;0<=e;e--)for(i=(s=V(u[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&(c.push(["function"==typeof n.options.items?n.options.items.call(n.element[0],t,{item:this.currentItem}):V(n.options.items,n.element),n]),this.containers.push(n));for(e=c.length-1;0<=e;e--)for(o=c[e][1],l=(a=c[e][i=0]).length;i<l;i++)(r=V(a[i])).data(this.widgetName+"-item",o),h.push({item:r,instance:o,width:0,height:0,left:0,top:0})},_refreshItemPositions:function(t){for(var e,i,s=this.items.length-1;0<=s;s--)e=this.items[s],this.currentContainer&&e.instance!==this.currentContainer&&e.item[0]!==this.currentItem[0]||(i=this.options.toleranceElement?V(this.options.toleranceElement,e.item):e.item,t||(e.width=i.outerWidth(),e.height=i.outerHeight()),i=i.offset(),e.left=i.left,e.top=i.top)},refreshPositions:function(t){var e,i;if(this.floating=!!this.items.length&&("x"===this.options.axis||this._isFloating(this.items[0].item)),this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset()),this._refreshItemPositions(t),this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(e=this.containers.length-1;0<=e;e--)i=this.containers[e].element.offset(),this.containers[e].containerCache.left=i.left,this.containers[e].containerCache.top=i.top,this.containers[e].containerCache.width=this.containers[e].element.outerWidth(),this.containers[e].containerCache.height=this.containers[e].element.outerHeight();return this},_createPlaceholder:function(i){var s,n,o=(i=i||this).options;o.placeholder&&o.placeholder.constructor!==String||(s=o.placeholder,n=i.currentItem[0].nodeName.toLowerCase(),o.placeholder={element:function(){var t=V("<"+n+">",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("<tr>",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var i=this;t.children().each(function(){V("<td>&#160;</td>",i.document[0]).attr("colspan",V(this).attr("colspan")||1).appendTo(e)})},_contactContainers:function(t){for(var e,i,s,n,o,a,r,l,h,c=null,u=null,d=this.containers.length-1;0<=d;d--)V.contains(this.currentItem[0],this.containers[d].element[0])||(this._intersectsWith(this.containers[d].containerCache)?c&&V.contains(this.containers[d].element[0],c.element[0])||(c=this.containers[d],u=d):this.containers[d].containerCache.over&&(this.containers[d]._trigger("out",t,this._uiHash(this)),this.containers[d].containerCache.over=0));if(c)if(1===this.containers.length)this.containers[u].containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1);else{for(i=1e4,s=null,n=(l=c.floating||this._isFloating(this.currentItem))?"left":"top",o=l?"width":"height",h=l?"pageX":"pageY",e=this.items.length-1;0<=e;e--)V.contains(this.containers[u].element[0],this.items[e].item[0])&&this.items[e].item[0]!==this.currentItem[0]&&(a=this.items[e].item.offset()[n],r=!1,t[h]-a>this.items[e][o]/2&&(r=!0),Math.abs(t[h]-a)<i&&(i=Math.abs(t[h]-a),s=this.items[e],this.direction=r?"up":"down"));(s||this.options.dropOnEmpty)&&(this.currentContainer!==this.containers[u]?(s?this._rearrange(t,s,null,!0):this._rearrange(t,null,this.containers[u].element,!0),this._trigger("change",t,this._uiHash()),this.containers[u]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[u],this.options.placeholder.update(this.currentContainer,this.placeholder),this.scrollParent=this.placeholder.scrollParent(),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1):this.currentContainer.containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1))}},_createHelper:function(t){var e=this.options,t="function"==typeof e.helper?V(e.helper.apply(this.element[0],[t,this.currentItem])):"clone"===e.helper?this.currentItem.clone():this.currentItem;return t.parents("body").length||this.appendTo[0].appendChild(t[0]),t[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),t[0].style.width&&!e.forceHelperSize||t.width(this.currentItem.width()),t[0].style.height&&!e.forceHelperSize||t.height(this.currentItem.height()),t},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),"left"in(t=Array.isArray(t)?{left:+t[0],top:+t[1]||0}:t)&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),{top:(t=this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&V.ui.ie?{top:0,left:0}:t).top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var t=this.currentItem.position();return{top:t.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:t.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,e,i=this.options;"parent"===i.containment&&(i.containment=this.helper[0].parentNode),"document"!==i.containment&&"window"!==i.containment||(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===i.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===i.containment?this.document.height()||document.body.parentNode.scrollHeight:this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(i.containment)||(t=V(i.containment)[0],e=V(i.containment).offset(),i="hidden"!==V(t).css("overflow"),this.containment=[e.left+(parseInt(V(t).css("borderLeftWidth"),10)||0)+(parseInt(V(t).css("paddingLeft"),10)||0)-this.margins.left,e.top+(parseInt(V(t).css("borderTopWidth"),10)||0)+(parseInt(V(t).css("paddingTop"),10)||0)-this.margins.top,e.left+(i?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(V(t).css("borderLeftWidth"),10)||0)-(parseInt(V(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,e.top+(i?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(V(t).css("borderTopWidth"),10)||0)-(parseInt(V(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,s="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,t=/(html|body)/i.test(s[0].tagName);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():t?0:s.scrollTop())*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():t?0:s.scrollLeft())*i}},_generatePosition:function(t){var e=this.options,i=t.pageX,s=t.pageY,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,o=/(html|body)/i.test(n[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(i=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(s=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(i=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(s=this.containment[3]+this.offset.click.top)),e.grid&&(t=this.originalPageY+Math.round((s-this.originalPageY)/e.grid[1])*e.grid[1],s=!this.containment||t-this.offset.click.top>=this.containment[1]&&t-this.offset.click.top<=this.containment[3]?t:t-this.offset.click.top>=this.containment[1]?t-e.grid[1]:t+e.grid[1],t=this.originalPageX+Math.round((i-this.originalPageX)/e.grid[0])*e.grid[0],i=!this.containment||t-this.offset.click.left>=this.containment[0]&&t-this.offset.click.left<=this.containment[2]?t:t-this.offset.click.left>=this.containment[0]?t-e.grid[0]:t+e.grid[0])),{top:s-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():o?0:n.scrollTop()),left:i-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():o?0:n.scrollLeft())}},_rearrange:function(t,e,i,s){i?i[0].appendChild(this.placeholder[0]):e.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?e.item[0]:e.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(t,e){this.reverting=!1;var i,s=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(i in this._storedCSS)"auto"!==this._storedCSS[i]&&"static"!==this._storedCSS[i]||(this._storedCSS[i]="");this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")}else this.currentItem.show();function n(e,i,s){return function(t){s._trigger(e,t,i._uiHash(i))}}for(this.fromOutside&&!e&&s.push(function(t){this._trigger("receive",t,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||e||s.push(function(t){this._trigger("update",t,this._uiHash())}),this!==this.currentContainer&&(e||(s.push(function(t){this._trigger("remove",t,this._uiHash())}),s.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),s.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),i=this.containers.length-1;0<=i;i--)e||s.push(n("deactivate",this,this.containers[i])),this.containers[i].containerCache.over&&(s.push(n("out",this,this.containers[i])),this.containers[i].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,e||this._trigger("beforeStop",t,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!e){for(i=0;i<s.length;i++)s[i].call(this,t);this._trigger("stop",t,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){!1===V.Widget.prototype._trigger.apply(this,arguments)&&this.cancel()},_uiHash:function(t){var e=t||this;return{helper:e.helper,placeholder:e.placeholder||V([]),position:e.position,originalPosition:e.originalPosition,offset:e.positionAbs,item:e.currentItem,sender:t?t.element:null}}});function ht(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}V.widget("ui.spinner",{version:"1.13.2",defaultElement:"<input>",widgetEventPrefix:"spin",options:{classes:{"ui-spinner":"ui-corner-all","ui-spinner-down":"ui-corner-br","ui-spinner-up":"ui-corner-tr"},culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var s=this._super(),n=this.element;return V.each(["min","max","step"],function(t,e){var i=n.attr(e);null!=i&&i.length&&(s[e]=i)}),s},_events:{keydown:function(t){this._start(t)&&this._keydown(t)&&t.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(t){this.cancelBlur?delete this.cancelBlur:(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",t))},mousewheel:function(t,e){var i=V.ui.safeActiveElement(this.document[0]);if(this.element[0]===i&&e){if(!this.spinning&&!this._start(t))return!1;this._spin((0<e?1:-1)*this.options.step,t),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(t)},100),t.preventDefault()}},"mousedown .ui-spinner-button":function(t){var e;function i(){this.element[0]===V.ui.safeActiveElement(this.document[0])||(this.element.trigger("focus"),this.previous=e,this._delay(function(){this.previous=e}))}e=this.element[0]===V.ui.safeActiveElement(this.document[0])?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),!1!==this._start(t)&&this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){if(V(t.currentTarget).hasClass("ui-state-active"))return!1!==this._start(t)&&void this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseleave .ui-spinner-button":"_stop"},_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap("<span>").parent().append("<a></a><a></a>")},_draw:function(){this._enhance(),this._addClass(this.uiSpinner,"ui-spinner","ui-widget ui-widget-content"),this._addClass("ui-spinner-input"),this.element.attr("role","spinbutton"),this.buttons=this.uiSpinner.children("a").attr("tabIndex",-1).attr("aria-hidden",!0).button({classes:{"ui-button":""}}),this._removeClass(this.buttons,"ui-corner-all"),this._addClass(this.buttons.first(),"ui-spinner-button ui-spinner-up"),this._addClass(this.buttons.last(),"ui-spinner-button ui-spinner-down"),this.buttons.first().button({icon:this.options.icons.up,showLabel:!1}),this.buttons.last().button({icon:this.options.icons.down,showLabel:!1}),this.buttons.height()>Math.ceil(.5*this.uiSpinner.height())&&0<this.uiSpinner.height()&&this.uiSpinner.height(this.uiSpinner.height())},_keydown:function(t){var e=this.options,i=V.ui.keyCode;switch(t.keyCode){case i.UP:return this._repeat(null,1,t),!0;case i.DOWN:return this._repeat(null,-1,t),!0;case i.PAGE_UP:return this._repeat(null,e.page,t),!0;case i.PAGE_DOWN:return this._repeat(null,-e.page,t),!0}return!1},_start:function(t){return!(!this.spinning&&!1===this._trigger("start",t))&&(this.counter||(this.counter=1),this.spinning=!0)},_repeat:function(t,e,i){t=t||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,e,i)},t),this._spin(e*this.options.step,i)},_spin:function(t,e){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+t*this._increment(this.counter)),this.spinning&&!1===this._trigger("spin",e,{value:i})||(this._value(i),this.counter++)},_increment:function(t){var e=this.options.incremental;return e?"function"==typeof e?e(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_adjustValue:function(t){var e=this.options,i=null!==e.min?e.min:0,s=t-i;return t=i+Math.round(s/e.step)*e.step,t=parseFloat(t.toFixed(this._precision())),null!==e.max&&t>e.max?e.max:null!==e.min&&t<e.min?e.min:t},_stop:function(t){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",t))},_setOption:function(t,e){var i;if("culture"===t||"numberFormat"===t)return i=this._parse(this.element.val()),this.options[t]=e,void this.element.val(this._format(i));"max"!==t&&"min"!==t&&"step"!==t||"string"==typeof e&&(e=this._parse(e)),"icons"===t&&(i=this.buttons.first().find(".ui-icon"),this._removeClass(i,null,this.options.icons.up),this._addClass(i,null,e.up),i=this.buttons.last().find(".ui-icon"),this._removeClass(i,null,this.options.icons.down),this._addClass(i,null,e.down)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this._toggleClass(this.uiSpinner,null,"ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable")},_setOptions:ht(function(t){this._super(t)}),_parse:function(t){return""===(t="string"==typeof t&&""!==t?window.Globalize&&this.options.numberFormat?Globalize.parseFloat(t,10,this.options.culture):+t:t)||isNaN(t)?null:t},_format:function(t){return""===t?"":window.Globalize&&this.options.numberFormat?Globalize.format(t,this.options.numberFormat,this.options.culture):t},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var t=this.value();return null!==t&&t===this._adjustValue(t)},_value:function(t,e){var i;""!==t&&null!==(i=this._parse(t))&&(e||(i=this._adjustValue(i)),t=this._format(i)),this.element.val(t),this._refresh()},_destroy:function(){this.element.prop("disabled",!1).removeAttr("autocomplete role aria-valuemin aria-valuemax aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:ht(function(t){this._stepUp(t)}),_stepUp:function(t){this._start()&&(this._spin((t||1)*this.options.step),this._stop())},stepDown:ht(function(t){this._stepDown(t)}),_stepDown:function(t){this._start()&&(this._spin((t||1)*-this.options.step),this._stop())},pageUp:ht(function(t){this._stepUp((t||1)*this.options.page)}),pageDown:ht(function(t){this._stepDown((t||1)*this.options.page)}),value:function(t){if(!arguments.length)return this._parse(this.element.val());ht(this._value).call(this,t)},widget:function(){return this.uiSpinner}}),!1!==V.uiBackCompat&&V.widget("ui.spinner",V.ui.spinner,{_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml())},_uiSpinnerHtml:function(){return"<span>"},_buttonHtml:function(){return"<a></a><a></a>"}});var ct;V.ui.spinner;V.widget("ui.tabs",{version:"1.13.2",delay:300,options:{active:null,classes:{"ui-tabs":"ui-corner-all","ui-tabs-nav":"ui-corner-all","ui-tabs-panel":"ui-corner-bottom","ui-tabs-tab":"ui-corner-top"},collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:(ct=/#.*$/,function(t){var e=t.href.replace(ct,""),i=location.href.replace(ct,"");try{e=decodeURIComponent(e)}catch(t){}try{i=decodeURIComponent(i)}catch(t){}return 1<t.hash.length&&e===i}),_create:function(){var e=this,t=this.options;this.running=!1,this._addClass("ui-tabs","ui-widget ui-widget-content"),this._toggleClass("ui-tabs-collapsible",null,t.collapsible),this._processTabs(),t.active=this._initialActive(),Array.isArray(t.disabled)&&(t.disabled=V.uniqueSort(t.disabled.concat(V.map(this.tabs.filter(".ui-state-disabled"),function(t){return e.tabs.index(t)}))).sort()),!1!==this.options.active&&this.anchors.length?this.active=this._findActive(t.active):this.active=V(),this._refresh(),this.active.length&&this.load(t.active)},_initialActive:function(){var i=this.options.active,t=this.options.collapsible,s=location.hash.substring(1);return null===i&&(s&&this.tabs.each(function(t,e){if(V(e).attr("aria-controls")===s)return i=t,!1}),null!==(i=null===i?this.tabs.index(this.tabs.filter(".ui-tabs-active")):i)&&-1!==i||(i=!!this.tabs.length&&0)),!1!==i&&-1===(i=this.tabs.index(this.tabs.eq(i)))&&(i=!t&&0),i=!t&&!1===i&&this.anchors.length?0:i},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):V()}},_tabKeydown:function(t){var e=V(V.ui.safeActiveElement(this.document[0])).closest("li"),i=this.tabs.index(e),s=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:i++;break;case V.ui.keyCode.UP:case V.ui.keyCode.LEFT:s=!1,i--;break;case V.ui.keyCode.END:i=this.anchors.length-1;break;case V.ui.keyCode.HOME:i=0;break;case V.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),void this._activate(i);case V.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),void this._activate(i!==this.options.active&&i);default:return}t.preventDefault(),clearTimeout(this.activating),i=this._focusNextTab(i,s),t.ctrlKey||t.metaKey||(e.attr("aria-selected","false"),this.tabs.eq(i).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",i)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===V.ui.keyCode.UP&&(t.preventDefault(),this.active.trigger("focus"))},_handlePageNav:function(t){return t.altKey&&t.keyCode===V.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===V.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,e){var i=this.tabs.length-1;for(;-1!==V.inArray(t=(t=i<t?0:t)<0?i:t,this.options.disabled);)t=e?t+1:t-1;return t},_focusNextTab:function(t,e){return t=this._findNextTab(t,e),this.tabs.eq(t).trigger("focus"),t},_setOption:function(t,e){"active"!==t?(this._super(t,e),"collapsible"===t&&(this._toggleClass("ui-tabs-collapsible",null,e),e||!1!==this.options.active||this._activate(0)),"event"===t&&this._setupEvents(e),"heightStyle"===t&&this._setupHeightStyle(e)):this._activate(e)},_sanitizeSelector:function(t){return t?t.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,e=this.tablist.children(":has(a[href])");t.disabled=V.map(e.filter(".ui-state-disabled"),function(t){return e.index(t)}),this._processTabs(),!1!==t.active&&this.anchors.length?this.active.length&&!V.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=V()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=V()),this._refresh()},_refresh:function(){this._setOptionDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._addClass(this.active,"ui-tabs-active","ui-state-active"),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var l=this,t=this.tabs,e=this.anchors,i=this.panels;this.tablist=this._getList().attr("role","tablist"),this._addClass(this.tablist,"ui-tabs-nav","ui-helper-reset ui-helper-clearfix ui-widget-header"),this.tablist.on("mousedown"+this.eventNamespace,"> li",function(t){V(this).is(".ui-state-disabled")&&t.preventDefault()}).on("focus"+this.eventNamespace,".ui-tabs-anchor",function(){V(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").attr({role:"tab",tabIndex:-1}),this._addClass(this.tabs,"ui-tabs-tab","ui-state-default"),this.anchors=this.tabs.map(function(){return V("a",this)[0]}).attr({tabIndex:-1}),this._addClass(this.anchors,"ui-tabs-anchor"),this.panels=V(),this.anchors.each(function(t,e){var i,s,n,o=V(e).uniqueId().attr("id"),a=V(e).closest("li"),r=a.attr("aria-controls");l._isLocal(e)?(n=(i=e.hash).substring(1),s=l.element.find(l._sanitizeSelector(i))):(n=a.attr("aria-controls")||V({}).uniqueId()[0].id,(s=l.element.find(i="#"+n)).length||(s=l._createPanel(n)).insertAfter(l.panels[t-1]||l.tablist),s.attr("aria-live","polite")),s.length&&(l.panels=l.panels.add(s)),r&&a.data("ui-tabs-aria-controls",r),a.attr({"aria-controls":n,"aria-labelledby":o}),s.attr("aria-labelledby",o)}),this.panels.attr("role","tabpanel"),this._addClass(this.panels,"ui-tabs-panel","ui-widget-content"),t&&(this._off(t.not(this.tabs)),this._off(e.not(this.anchors)),this._off(i.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol, ul").eq(0)},_createPanel:function(t){return V("<div>").attr("id",t).data("ui-tabs-destroy",!0)},_setOptionDisabled:function(t){var e,i;for(Array.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1),i=0;e=this.tabs[i];i++)e=V(e),!0===t||-1!==V.inArray(i,t)?(e.attr("aria-disabled","true"),this._addClass(e,null,"ui-state-disabled")):(e.removeAttr("aria-disabled"),this._removeClass(e,null,"ui-state-disabled"));this.options.disabled=t,this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!0===t)},_setupEvents:function(t){var i={};t&&V.each(t.split(" "),function(t,e){i[e]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(t){t.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,e=this.element.parent();"fill"===t?(i=e.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=V(this).outerHeight(!0)}),this.panels.each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,V(this).height("").height())}).height(i))},_eventHandler:function(t){var e=this.options,i=this.active,s=V(t.currentTarget).closest("li"),n=s[0]===i[0],o=n&&e.collapsible,a=o?V():this._getPanelForTab(s),r=i.length?this._getPanelForTab(i):V(),i={oldTab:i,oldPanel:r,newTab:o?V():s,newPanel:a};t.preventDefault(),s.hasClass("ui-state-disabled")||s.hasClass("ui-tabs-loading")||this.running||n&&!e.collapsible||!1===this._trigger("beforeActivate",t,i)||(e.active=!o&&this.tabs.index(s),this.active=n?V():s,this.xhr&&this.xhr.abort(),r.length||a.length||V.error("jQuery UI Tabs: Mismatching fragment identifier."),a.length&&this.load(this.tabs.index(s),t),this._toggle(t,i))},_toggle:function(t,e){var i=this,s=e.newPanel,n=e.oldPanel;function o(){i.running=!1,i._trigger("activate",t,e)}function a(){i._addClass(e.newTab.closest("li"),"ui-tabs-active","ui-state-active"),s.length&&i.options.show?i._show(s,i.options.show,o):(s.show(),o())}this.running=!0,n.length&&this.options.hide?this._hide(n,this.options.hide,function(){i._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),a()}):(this._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),n.hide(),a()),n.attr("aria-hidden","true"),e.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),s.length&&n.length?e.oldTab.attr("tabIndex",-1):s.length&&this.tabs.filter(function(){return 0===V(this).attr("tabIndex")}).attr("tabIndex",-1),s.attr("aria-hidden","false"),e.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var t=this._findActive(t);t[0]!==this.active[0]&&(t=(t=!t.length?this.active:t).find(".ui-tabs-anchor")[0],this._eventHandler({target:t,currentTarget:t,preventDefault:V.noop}))},_findActive:function(t){return!1===t?V():this.tabs.eq(t)},_getIndex:function(t){return t="string"==typeof t?this.anchors.index(this.anchors.filter("[href$='"+V.escapeSelector(t)+"']")):t},_destroy:function(){this.xhr&&this.xhr.abort(),this.tablist.removeAttr("role").off(this.eventNamespace),this.anchors.removeAttr("role tabIndex").removeUniqueId(),this.tabs.add(this.panels).each(function(){V.data(this,"ui-tabs-destroy")?V(this).remove():V(this).removeAttr("role tabIndex aria-live aria-busy aria-selected aria-labelledby aria-hidden aria-expanded")}),this.tabs.each(function(){var t=V(this),e=t.data("ui-tabs-aria-controls");e?t.attr("aria-controls",e).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(i){var t=this.options.disabled;!1!==t&&(t=void 0!==i&&(i=this._getIndex(i),Array.isArray(t)?V.map(t,function(t){return t!==i?t:null}):V.map(this.tabs,function(t,e){return e!==i?e:null})),this._setOptionDisabled(t))},disable:function(t){var e=this.options.disabled;if(!0!==e){if(void 0===t)e=!0;else{if(t=this._getIndex(t),-1!==V.inArray(t,e))return;e=Array.isArray(e)?V.merge([t],e).sort():[t]}this._setOptionDisabled(e)}},load:function(t,s){t=this._getIndex(t);function n(t,e){"abort"===e&&o.panels.stop(!1,!0),o._removeClass(i,"ui-tabs-loading"),a.removeAttr("aria-busy"),t===o.xhr&&delete o.xhr}var o=this,i=this.tabs.eq(t),t=i.find(".ui-tabs-anchor"),a=this._getPanelForTab(i),r={tab:i,panel:a};this._isLocal(t[0])||(this.xhr=V.ajax(this._ajaxSettings(t,s,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(this._addClass(i,"ui-tabs-loading"),a.attr("aria-busy","true"),this.xhr.done(function(t,e,i){setTimeout(function(){a.html(t),o._trigger("load",s,r),n(i,e)},1)}).fail(function(t,e){setTimeout(function(){n(t,e)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href").replace(/#.*$/,""),beforeSend:function(t,e){return n._trigger("beforeLoad",i,V.extend({jqXHR:t,ajaxSettings:e},s))}}},_getPanelForTab:function(t){t=V(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+t))}}),!1!==V.uiBackCompat&&V.widget("ui.tabs",V.ui.tabs,{_processTabs:function(){this._superApply(arguments),this._addClass(this.tabs,"ui-tab")}});V.ui.tabs;V.widget("ui.tooltip",{version:"1.13.2",options:{classes:{"ui-tooltip":"ui-corner-all ui-widget-shadow"},content:function(){var t=V(this).attr("title");return V("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,track:!1,close:null,open:null},_addDescribedBy:function(t,e){var i=(t.attr("aria-describedby")||"").split(/\s+/);i.push(e),t.data("ui-tooltip-id",e).attr("aria-describedby",String.prototype.trim.call(i.join(" ")))},_removeDescribedBy:function(t){var e=t.data("ui-tooltip-id"),i=(t.attr("aria-describedby")||"").split(/\s+/),e=V.inArray(e,i);-1!==e&&i.splice(e,1),t.removeData("ui-tooltip-id"),(i=String.prototype.trim.call(i.join(" ")))?t.attr("aria-describedby",i):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.liveRegion=V("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this.disabledTitles=V([])},_setOption:function(t,e){var i=this;this._super(t,e),"content"===t&&V.each(this.tooltips,function(t,e){i._updateContent(e.element)})},_setOptionDisabled:function(t){this[t?"_disable":"_enable"]()},_disable:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur");i.target=i.currentTarget=e.element[0],s.close(i,!0)}),this.disabledTitles=this.disabledTitles.add(this.element.find(this.options.items).addBack().filter(function(){var t=V(this);if(t.is("[title]"))return t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")}))},_enable:function(){this.disabledTitles.each(function(){var t=V(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))}),this.disabledTitles=V([])},open:function(t){var i=this,e=V(t?t.target:this.element).closest(this.options.items);e.length&&!e.data("ui-tooltip-id")&&(e.attr("title")&&e.data("ui-tooltip-title",e.attr("title")),e.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&e.parents().each(function(){var t,e=V(this);e.data("ui-tooltip-open")&&((t=V.Event("blur")).target=t.currentTarget=this,i.close(t,!0)),e.attr("title")&&(e.uniqueId(),i.parents[this.id]={element:this,title:e.attr("title")},e.attr("title",""))}),this._registerCloseHandlers(t,e),this._updateContent(e,t))},_updateContent:function(e,i){var t=this.options.content,s=this,n=i?i.type:null;if("string"==typeof t||t.nodeType||t.jquery)return this._open(i,e,t);(t=t.call(e[0],function(t){s._delay(function(){e.data("ui-tooltip-open")&&(i&&(i.type=n),this._open(i,e,t))})}))&&this._open(i,e,t)},_open:function(t,e,i){var s,n,o,a=V.extend({},this.options.position);function r(t){a.of=t,n.is(":hidden")||n.position(a)}i&&((s=this._find(e))?s.tooltip.find(".ui-tooltip-content").html(i):(e.is("[title]")&&(t&&"mouseover"===t.type?e.attr("title",""):e.removeAttr("title")),s=this._tooltip(e),n=s.tooltip,this._addDescribedBy(e,n.attr("id")),n.find(".ui-tooltip-content").html(i),this.liveRegion.children().hide(),(i=V("<div>").html(n.find(".ui-tooltip-content").html())).removeAttr("name").find("[name]").removeAttr("name"),i.removeAttr("id").find("[id]").removeAttr("id"),i.appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:r}),r(t)):n.position(V.extend({of:e},this.options.position)),n.hide(),this._show(n,this.options.show),this.options.track&&this.options.show&&this.options.show.delay&&(o=this.delayedShow=setInterval(function(){n.is(":visible")&&(r(a.of),clearInterval(o))},13)),this._trigger("open",t,{tooltip:n})))},_registerCloseHandlers:function(t,e){var i={keyup:function(t){t.keyCode===V.ui.keyCode.ESCAPE&&((t=V.Event(t)).currentTarget=e[0],this.close(t,!0))}};e[0]!==this.element[0]&&(i.remove=function(){var t=this._find(e);t&&this._removeTooltip(t.tooltip)}),t&&"mouseover"!==t.type||(i.mouseleave="close"),t&&"focusin"!==t.type||(i.focusout="close"),this._on(!0,e,i)},close:function(t){var e,i=this,s=V(t?t.currentTarget:this.element),n=this._find(s);n?(e=n.tooltip,n.closing||(clearInterval(this.delayedShow),s.data("ui-tooltip-title")&&!s.attr("title")&&s.attr("title",s.data("ui-tooltip-title")),this._removeDescribedBy(s),n.hiding=!0,e.stop(!0),this._hide(e,this.options.hide,function(){i._removeTooltip(V(this))}),s.removeData("ui-tooltip-open"),this._off(s,"mouseleave focusout keyup"),s[0]!==this.element[0]&&this._off(s,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&V.each(this.parents,function(t,e){V(e.element).attr("title",e.title),delete i.parents[t]}),n.closing=!0,this._trigger("close",t,{tooltip:e}),n.hiding||(n.closing=!1))):s.removeData("ui-tooltip-open")},_tooltip:function(t){var e=V("<div>").attr("role","tooltip"),i=V("<div>").appendTo(e),s=e.uniqueId().attr("id");return this._addClass(i,"ui-tooltip-content"),this._addClass(e,"ui-tooltip","ui-widget ui-widget-content"),e.appendTo(this._appendTo(t)),this.tooltips[s]={element:t,tooltip:e}},_find:function(t){t=t.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(t){clearInterval(this.delayedShow),t.remove(),delete this.tooltips[t.attr("id")]},_appendTo:function(t){t=t.closest(".ui-front, dialog");return t=!t.length?this.document[0].body:t},_destroy:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur"),e=e.element;i.target=i.currentTarget=e[0],s.close(i,!0),V("#"+t).remove(),e.data("ui-tooltip-title")&&(e.attr("title")||e.attr("title",e.data("ui-tooltip-title")),e.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}}),!1!==V.uiBackCompat&&V.widget("ui.tooltip",V.ui.tooltip,{options:{tooltipClass:null},_tooltip:function(){var t=this._superApply(arguments);return this.options.tooltipClass&&t.tooltip.addClass(this.options.tooltipClass),t}});V.ui.tooltip});</script>
+(function(e){"function"==typeof define&&define.amd?define(["jquery"],e):e(jQuery)})(function(e){function t(t,s){var n,a,o,r=t.nodeName.toLowerCase();return"area"===r?(n=t.parentNode,a=n.name,t.href&&a&&"map"===n.nodeName.toLowerCase()?(o=e("img[usemap='#"+a+"']")[0],!!o&&i(o)):!1):(/^(input|select|textarea|button|object)$/.test(r)?!t.disabled:"a"===r?t.href||s:s)&&i(t)}function i(t){return e.expr.filters.visible(t)&&!e(t).parents().addBack().filter(function(){return"hidden"===e.css(this,"visibility")}).length}function s(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}e.ui=e.ui||{},e.extend(e.ui,{version:"1.11.4",keyCode:{BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38}}),e.fn.extend({scrollParent:function(t){var i=this.css("position"),s="absolute"===i,n=t?/(auto|scroll|hidden)/:/(auto|scroll)/,a=this.parents().filter(function(){var t=e(this);return s&&"static"===t.css("position")?!1:n.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==i&&a.length?a:e(this[0].ownerDocument||document)},uniqueId:function(){var e=0;return function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++e)})}}(),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&e(this).removeAttr("id")})}}),e.extend(e.expr[":"],{data:e.expr.createPseudo?e.expr.createPseudo(function(t){return function(i){return!!e.data(i,t)}}):function(t,i,s){return!!e.data(t,s[3])},focusable:function(i){return t(i,!isNaN(e.attr(i,"tabindex")))},tabbable:function(i){var s=e.attr(i,"tabindex"),n=isNaN(s);return(n||s>=0)&&t(i,!n)}}),e("<a>").outerWidth(1).jquery||e.each(["Width","Height"],function(t,i){function s(t,i,s,a){return e.each(n,function(){i-=parseFloat(e.css(t,"padding"+this))||0,s&&(i-=parseFloat(e.css(t,"border"+this+"Width"))||0),a&&(i-=parseFloat(e.css(t,"margin"+this))||0)}),i}var n="Width"===i?["Left","Right"]:["Top","Bottom"],a=i.toLowerCase(),o={innerWidth:e.fn.innerWidth,innerHeight:e.fn.innerHeight,outerWidth:e.fn.outerWidth,outerHeight:e.fn.outerHeight};e.fn["inner"+i]=function(t){return void 0===t?o["inner"+i].call(this):this.each(function(){e(this).css(a,s(this,t)+"px")})},e.fn["outer"+i]=function(t,n){return"number"!=typeof t?o["outer"+i].call(this,t):this.each(function(){e(this).css(a,s(this,t,!0,n)+"px")})}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e("<a>").data("a-b","a").removeData("a-b").data("a-b")&&(e.fn.removeData=function(t){return function(i){return arguments.length?t.call(this,e.camelCase(i)):t.call(this)}}(e.fn.removeData)),e.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase()),e.fn.extend({focus:function(t){return function(i,s){return"number"==typeof i?this.each(function(){var t=this;setTimeout(function(){e(t).focus(),s&&s.call(t)},i)}):t.apply(this,arguments)}}(e.fn.focus),disableSelection:function(){var e="onselectstart"in document.createElement("div")?"selectstart":"mousedown";return function(){return this.bind(e+".ui-disableSelection",function(e){e.preventDefault()})}}(),enableSelection:function(){return this.unbind(".ui-disableSelection")},zIndex:function(t){if(void 0!==t)return this.css("zIndex",t);if(this.length)for(var i,s,n=e(this[0]);n.length&&n[0]!==document;){if(i=n.css("position"),("absolute"===i||"relative"===i||"fixed"===i)&&(s=parseInt(n.css("zIndex"),10),!isNaN(s)&&0!==s))return s;n=n.parent()}return 0}}),e.ui.plugin={add:function(t,i,s){var n,a=e.ui[t].prototype;for(n in s)a.plugins[n]=a.plugins[n]||[],a.plugins[n].push([i,s[n]])},call:function(e,t,i,s){var n,a=e.plugins[t];if(a&&(s||e.element[0].parentNode&&11!==e.element[0].parentNode.nodeType))for(n=0;a.length>n;n++)e.options[a[n][0]]&&a[n][1].apply(e.element,i)}};var n=0,a=Array.prototype.slice;e.cleanData=function(t){return function(i){var s,n,a;for(a=0;null!=(n=i[a]);a++)try{s=e._data(n,"events"),s&&s.remove&&e(n).triggerHandler("remove")}catch(o){}t(i)}}(e.cleanData),e.widget=function(t,i,s){var n,a,o,r,h={},l=t.split(".")[0];return t=t.split(".")[1],n=l+"-"+t,s||(s=i,i=e.Widget),e.expr[":"][n.toLowerCase()]=function(t){return!!e.data(t,n)},e[l]=e[l]||{},a=e[l][t],o=e[l][t]=function(e,t){return this._createWidget?(arguments.length&&this._createWidget(e,t),void 0):new o(e,t)},e.extend(o,a,{version:s.version,_proto:e.extend({},s),_childConstructors:[]}),r=new i,r.options=e.widget.extend({},r.options),e.each(s,function(t,s){return e.isFunction(s)?(h[t]=function(){var e=function(){return i.prototype[t].apply(this,arguments)},n=function(e){return i.prototype[t].apply(this,e)};return function(){var t,i=this._super,a=this._superApply;return this._super=e,this._superApply=n,t=s.apply(this,arguments),this._super=i,this._superApply=a,t}}(),void 0):(h[t]=s,void 0)}),o.prototype=e.widget.extend(r,{widgetEventPrefix:a?r.widgetEventPrefix||t:t},h,{constructor:o,namespace:l,widgetName:t,widgetFullName:n}),a?(e.each(a._childConstructors,function(t,i){var s=i.prototype;e.widget(s.namespace+"."+s.widgetName,o,i._proto)}),delete a._childConstructors):i._childConstructors.push(o),e.widget.bridge(t,o),o},e.widget.extend=function(t){for(var i,s,n=a.call(arguments,1),o=0,r=n.length;r>o;o++)for(i in n[o])s=n[o][i],n[o].hasOwnProperty(i)&&void 0!==s&&(t[i]=e.isPlainObject(s)?e.isPlainObject(t[i])?e.widget.extend({},t[i],s):e.widget.extend({},s):s);return t},e.widget.bridge=function(t,i){var s=i.prototype.widgetFullName||t;e.fn[t]=function(n){var o="string"==typeof n,r=a.call(arguments,1),h=this;return o?this.each(function(){var i,a=e.data(this,s);return"instance"===n?(h=a,!1):a?e.isFunction(a[n])&&"_"!==n.charAt(0)?(i=a[n].apply(a,r),i!==a&&void 0!==i?(h=i&&i.jquery?h.pushStack(i.get()):i,!1):void 0):e.error("no such method '"+n+"' for "+t+" widget instance"):e.error("cannot call methods on "+t+" prior to initialization; "+"attempted to call method '"+n+"'")}):(r.length&&(n=e.widget.extend.apply(null,[n].concat(r))),this.each(function(){var t=e.data(this,s);t?(t.option(n||{}),t._init&&t._init()):e.data(this,s,new i(n,this))})),h}},e.Widget=function(){},e.Widget._childConstructors=[],e.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{disabled:!1,create:null},_createWidget:function(t,i){i=e(i||this.defaultElement||this)[0],this.element=e(i),this.uuid=n++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=e(),this.hoverable=e(),this.focusable=e(),i!==this&&(e.data(i,this.widgetFullName,this),this._on(!0,this.element,{remove:function(e){e.target===i&&this.destroy()}}),this.document=e(i.style?i.ownerDocument:i.document||i),this.window=e(this.document[0].defaultView||this.document[0].parentWindow)),this.options=e.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:e.noop,_getCreateEventData:e.noop,_create:e.noop,_init:e.noop,destroy:function(){this._destroy(),this.element.unbind(this.eventNamespace).removeData(this.widgetFullName).removeData(e.camelCase(this.widgetFullName)),this.widget().unbind(this.eventNamespace).removeAttr("aria-disabled").removeClass(this.widgetFullName+"-disabled "+"ui-state-disabled"),this.bindings.unbind(this.eventNamespace),this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus")},_destroy:e.noop,widget:function(){return this.element},option:function(t,i){var s,n,a,o=t;if(0===arguments.length)return e.widget.extend({},this.options);if("string"==typeof t)if(o={},s=t.split("."),t=s.shift(),s.length){for(n=o[t]=e.widget.extend({},this.options[t]),a=0;s.length-1>a;a++)n[s[a]]=n[s[a]]||{},n=n[s[a]];if(t=s.pop(),1===arguments.length)return void 0===n[t]?null:n[t];n[t]=i}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=i}return this._setOptions(o),this},_setOptions:function(e){var t;for(t in e)this._setOption(t,e[t]);return this},_setOption:function(e,t){return this.options[e]=t,"disabled"===e&&(this.widget().toggleClass(this.widgetFullName+"-disabled",!!t),t&&(this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus"))),this},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_on:function(t,i,s){var n,a=this;"boolean"!=typeof t&&(s=i,i=t,t=!1),s?(i=n=e(i),this.bindings=this.bindings.add(i)):(s=i,i=this.element,n=this.widget()),e.each(s,function(s,o){function r(){return t||a.options.disabled!==!0&&!e(this).hasClass("ui-state-disabled")?("string"==typeof o?a[o]:o).apply(a,arguments):void 0}"string"!=typeof o&&(r.guid=o.guid=o.guid||r.guid||e.guid++);var h=s.match(/^([\w:-]*)\s*(.*)$/),l=h[1]+a.eventNamespace,u=h[2];u?n.delegate(u,l,r):i.bind(l,r)})},_off:function(t,i){i=(i||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.unbind(i).undelegate(i),this.bindings=e(this.bindings.not(t).get()),this.focusable=e(this.focusable.not(t).get()),this.hoverable=e(this.hoverable.not(t).get())},_delay:function(e,t){function i(){return("string"==typeof e?s[e]:e).apply(s,arguments)}var s=this;return setTimeout(i,t||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){e(t.currentTarget).addClass("ui-state-hover")},mouseleave:function(t){e(t.currentTarget).removeClass("ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){e(t.currentTarget).addClass("ui-state-focus")},focusout:function(t){e(t.currentTarget).removeClass("ui-state-focus")}})},_trigger:function(t,i,s){var n,a,o=this.options[t];if(s=s||{},i=e.Event(i),i.type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),i.target=this.element[0],a=i.originalEvent)for(n in a)n in i||(i[n]=a[n]);return this.element.trigger(i,s),!(e.isFunction(o)&&o.apply(this.element[0],[i].concat(s))===!1||i.isDefaultPrevented())}},e.each({show:"fadeIn",hide:"fadeOut"},function(t,i){e.Widget.prototype["_"+t]=function(s,n,a){"string"==typeof n&&(n={effect:n});var o,r=n?n===!0||"number"==typeof n?i:n.effect||i:t;n=n||{},"number"==typeof n&&(n={duration:n}),o=!e.isEmptyObject(n),n.complete=a,n.delay&&s.delay(n.delay),o&&e.effects&&e.effects.effect[r]?s[t](n):r!==t&&s[r]?s[r](n.duration,n.easing,a):s.queue(function(i){e(this)[t](),a&&a.call(s[0]),i()})}}),e.widget;var o=!1;e(document).mouseup(function(){o=!1}),e.widget("ui.mouse",{version:"1.11.4",options:{cancel:"input,textarea,button,select,option",distance:1,delay:0},_mouseInit:function(){var t=this;this.element.bind("mousedown."+this.widgetName,function(e){return t._mouseDown(e)}).bind("click."+this.widgetName,function(i){return!0===e.data(i.target,t.widgetName+".preventClickEvent")?(e.removeData(i.target,t.widgetName+".preventClickEvent"),i.stopImmediatePropagation(),!1):void 0}),this.started=!1},_mouseDestroy:function(){this.element.unbind("."+this.widgetName),this._mouseMoveDelegate&&this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!o){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var i=this,s=1===t.which,n="string"==typeof this.options.cancel&&t.target.nodeName?e(t.target).closest(this.options.cancel).length:!1;return s&&!n&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){i.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(t)!==!1,!this._mouseStarted)?(t.preventDefault(),!0):(!0===e.data(t.target,this.widgetName+".preventClickEvent")&&e.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(e){return i._mouseMove(e)},this._mouseUpDelegate=function(e){return i._mouseUp(e)},this.document.bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),o=!0,!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(e.ui.ie&&(!document.documentMode||9>document.documentMode)&&!t.button)return this._mouseUp(t);if(!t.which)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,t)!==!1,this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){return this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&e.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),o=!1,!1},_mouseDistanceMet:function(e){return Math.max(Math.abs(this._mouseDownEvent.pageX-e.pageX),Math.abs(this._mouseDownEvent.pageY-e.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),function(){function t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
+})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
+i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
+t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
+},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>&#9650;</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>&#9660;</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e
+},_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,i){function s(){return t>n&&(t=0),0>t&&(t=n),t}for(var n=this.tabs.length-1;-1!==e.inArray(s(),this.options.disabled);)t=i?t+1:t-1;return t},_focusNextTab:function(e,t){return e=this._findNextTab(e,t),this.tabs.eq(e).focus(),e},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):"disabled"===e?(this._setupDisabled(t),void 0):(this._super(e,t),"collapsible"===e&&(this.element.toggleClass("ui-tabs-collapsible",t),t||this.options.active!==!1||this._activate(0)),"event"===e&&this._setupEvents(t),"heightStyle"===e&&this._setupHeightStyle(t),void 0)},_sanitizeSelector:function(e){return e?e.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,i=this.tablist.children(":has(a[href])");t.disabled=e.map(i.filter(".ui-state-disabled"),function(e){return i.index(e)}),this._processTabs(),t.active!==!1&&this.anchors.length?this.active.length&&!e.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=e()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=e()),this._refresh()},_refresh:function(){this._setupDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.addClass("ui-tabs-active ui-state-active").attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var t=this,i=this.tabs,s=this.anchors,n=this.panels;this.tablist=this._getList().addClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").attr("role","tablist").delegate("> li","mousedown"+this.eventNamespace,function(t){e(this).is(".ui-state-disabled")&&t.preventDefault()}).delegate(".ui-tabs-anchor","focus"+this.eventNamespace,function(){e(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").addClass("ui-state-default ui-corner-top").attr({role:"tab",tabIndex:-1}),this.anchors=this.tabs.map(function(){return e("a",this)[0]}).addClass("ui-tabs-anchor").attr({role:"presentation",tabIndex:-1}),this.panels=e(),this.anchors.each(function(i,s){var n,a,o,r=e(s).uniqueId().attr("id"),h=e(s).closest("li"),l=h.attr("aria-controls");t._isLocal(s)?(n=s.hash,o=n.substring(1),a=t.element.find(t._sanitizeSelector(n))):(o=h.attr("aria-controls")||e({}).uniqueId()[0].id,n="#"+o,a=t.element.find(n),a.length||(a=t._createPanel(o),a.insertAfter(t.panels[i-1]||t.tablist)),a.attr("aria-live","polite")),a.length&&(t.panels=t.panels.add(a)),l&&h.data("ui-tabs-aria-controls",l),h.attr({"aria-controls":o,"aria-labelledby":r}),a.attr("aria-labelledby",r)}),this.panels.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").attr("role","tabpanel"),i&&(this._off(i.not(this.tabs)),this._off(s.not(this.anchors)),this._off(n.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol,ul").eq(0)},_createPanel:function(t){return e("<div>").attr("id",t).addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").data("ui-tabs-destroy",!0)},_setupDisabled:function(t){e.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1);for(var i,s=0;i=this.tabs[s];s++)t===!0||-1!==e.inArray(s,t)?e(i).addClass("ui-state-disabled").attr("aria-disabled","true"):e(i).removeClass("ui-state-disabled").removeAttr("aria-disabled");this.options.disabled=t},_setupEvents:function(t){var i={};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(e){e.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,s=this.element.parent();"fill"===t?(i=s.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=e(this),s=t.css("position");"absolute"!==s&&"fixed"!==s&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=e(this).outerHeight(!0)}),this.panels.each(function(){e(this).height(Math.max(0,i-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,e(this).height("").height())}).height(i))},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n.closest("li"),o=a[0]===s[0],r=o&&i.collapsible,h=r?e():this._getPanelForTab(a),l=s.length?this._getPanelForTab(s):e(),u={oldTab:s,oldPanel:l,newTab:r?e():a,newPanel:h};t.preventDefault(),a.hasClass("ui-state-disabled")||a.hasClass("ui-tabs-loading")||this.running||o&&!i.collapsible||this._trigger("beforeActivate",t,u)===!1||(i.active=r?!1:this.tabs.index(a),this.active=o?e():a,this.xhr&&this.xhr.abort(),l.length||h.length||e.error("jQuery UI Tabs: Mismatching fragment identifier."),h.length&&this.load(this.tabs.index(a),t),this._toggle(t,u))},_toggle:function(t,i){function s(){a.running=!1,a._trigger("activate",t,i)}function n(){i.newTab.closest("li").addClass("ui-tabs-active ui-state-active"),o.length&&a.options.show?a._show(o,a.options.show,s):(o.show(),s())}var a=this,o=i.newPanel,r=i.oldPanel;this.running=!0,r.length&&this.options.hide?this._hide(r,this.options.hide,function(){i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),n()}):(i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),r.hide(),n()),r.attr("aria-hidden","true"),i.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),o.length&&r.length?i.oldTab.attr("tabIndex",-1):o.length&&this.tabs.filter(function(){return 0===e(this).attr("tabIndex")}).attr("tabIndex",-1),o.attr("aria-hidden","false"),i.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var i,s=this._findActive(t);s[0]!==this.active[0]&&(s.length||(s=this.active),i=s.find(".ui-tabs-anchor")[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return t===!1?e():this.tabs.eq(t)},_getIndex:function(e){return"string"==typeof e&&(e=this.anchors.index(this.anchors.filter("[href$='"+e+"']"))),e},_destroy:function(){this.xhr&&this.xhr.abort(),this.element.removeClass("ui-tabs ui-widget ui-widget-content ui-corner-all ui-tabs-collapsible"),this.tablist.removeClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").removeAttr("role"),this.anchors.removeClass("ui-tabs-anchor").removeAttr("role").removeAttr("tabIndex").removeUniqueId(),this.tablist.unbind(this.eventNamespace),this.tabs.add(this.panels).each(function(){e.data(this,"ui-tabs-destroy")?e(this).remove():e(this).removeClass("ui-state-default ui-state-active ui-state-disabled ui-corner-top ui-corner-bottom ui-widget-content ui-tabs-active ui-tabs-panel").removeAttr("tabIndex").removeAttr("aria-live").removeAttr("aria-busy").removeAttr("aria-selected").removeAttr("aria-labelledby").removeAttr("aria-hidden").removeAttr("aria-expanded").removeAttr("role")}),this.tabs.each(function(){var t=e(this),i=t.data("ui-tabs-aria-controls");i?t.attr("aria-controls",i).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(t){var i=this.options.disabled;i!==!1&&(void 0===t?i=!1:(t=this._getIndex(t),i=e.isArray(i)?e.map(i,function(e){return e!==t?e:null}):e.map(this.tabs,function(e,i){return i!==t?i:null})),this._setupDisabled(i))},disable:function(t){var i=this.options.disabled;if(i!==!0){if(void 0===t)i=!0;else{if(t=this._getIndex(t),-1!==e.inArray(t,i))return;i=e.isArray(i)?e.merge([t],i).sort():[t]}this._setupDisabled(i)}},load:function(t,i){t=this._getIndex(t);var s=this,n=this.tabs.eq(t),a=n.find(".ui-tabs-anchor"),o=this._getPanelForTab(n),r={tab:n,panel:o},h=function(e,t){"abort"===t&&s.panels.stop(!1,!0),n.removeClass("ui-tabs-loading"),o.removeAttr("aria-busy"),e===s.xhr&&delete s.xhr};this._isLocal(a[0])||(this.xhr=e.ajax(this._ajaxSettings(a,i,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(n.addClass("ui-tabs-loading"),o.attr("aria-busy","true"),this.xhr.done(function(e,t,n){setTimeout(function(){o.html(e),s._trigger("load",i,r),h(n,t)},1)}).fail(function(e,t){setTimeout(function(){h(e,t)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href"),beforeSend:function(t,a){return n._trigger("beforeLoad",i,e.extend({jqXHR:t,ajaxSettings:a},s))}}},_getPanelForTab:function(t){var i=e(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+i))}}),e.widget("ui.tooltip",{version:"1.11.4",options:{content:function(){var t=e(this).attr("title")||"";return e("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,tooltipClass:null,track:!1,close:null,open:null},_addDescribedBy:function(t,i){var s=(t.attr("aria-describedby")||"").split(/\s+/);s.push(i),t.data("ui-tooltip-id",i).attr("aria-describedby",e.trim(s.join(" ")))},_removeDescribedBy:function(t){var i=t.data("ui-tooltip-id"),s=(t.attr("aria-describedby")||"").split(/\s+/),n=e.inArray(i,s);-1!==n&&s.splice(n,1),t.removeData("ui-tooltip-id"),s=e.trim(s.join(" ")),s?t.attr("aria-describedby",s):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.options.disabled&&this._disable(),this.liveRegion=e("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body)},_setOption:function(t,i){var s=this;return"disabled"===t?(this[i?"_disable":"_enable"](),this.options[t]=i,void 0):(this._super(t,i),"content"===t&&e.each(this.tooltips,function(e,t){s._updateContent(t.element)}),void 0)},_disable:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur");n.target=n.currentTarget=s.element[0],t.close(n,!0)}),this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.is("[title]")&&t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")})},_enable:function(){this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))})},open:function(t){var i=this,s=e(t?t.target:this.element).closest(this.options.items);s.length&&!s.data("ui-tooltip-id")&&(s.attr("title")&&s.data("ui-tooltip-title",s.attr("title")),s.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&s.parents().each(function(){var t,s=e(this);s.data("ui-tooltip-open")&&(t=e.Event("blur"),t.target=t.currentTarget=this,i.close(t,!0)),s.attr("title")&&(s.uniqueId(),i.parents[this.id]={element:this,title:s.attr("title")},s.attr("title",""))}),this._registerCloseHandlers(t,s),this._updateContent(s,t))},_updateContent:function(e,t){var i,s=this.options.content,n=this,a=t?t.type:null;return"string"==typeof s?this._open(t,e,s):(i=s.call(e[0],function(i){n._delay(function(){e.data("ui-tooltip-open")&&(t&&(t.type=a),this._open(t,e,i))})}),i&&this._open(t,e,i),void 0)},_open:function(t,i,s){function n(e){l.of=e,o.is(":hidden")||o.position(l)}var a,o,r,h,l=e.extend({},this.options.position);if(s){if(a=this._find(i))return a.tooltip.find(".ui-tooltip-content").html(s),void 0;i.is("[title]")&&(t&&"mouseover"===t.type?i.attr("title",""):i.removeAttr("title")),a=this._tooltip(i),o=a.tooltip,this._addDescribedBy(i,o.attr("id")),o.find(".ui-tooltip-content").html(s),this.liveRegion.children().hide(),s.clone?(h=s.clone(),h.removeAttr("id").find("[id]").removeAttr("id")):h=s,e("<div>").html(h).appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:n}),n(t)):o.position(e.extend({of:i},this.options.position)),o.hide(),this._show(o,this.options.show),this.options.show&&this.options.show.delay&&(r=this.delayedShow=setInterval(function(){o.is(":visible")&&(n(l.of),clearInterval(r))},e.fx.interval)),this._trigger("open",t,{tooltip:o})}},_registerCloseHandlers:function(t,i){var s={keyup:function(t){if(t.keyCode===e.ui.keyCode.ESCAPE){var s=e.Event(t);s.currentTarget=i[0],this.close(s,!0)}}};i[0]!==this.element[0]&&(s.remove=function(){this._removeTooltip(this._find(i).tooltip)}),t&&"mouseover"!==t.type||(s.mouseleave="close"),t&&"focusin"!==t.type||(s.focusout="close"),this._on(!0,i,s)},close:function(t){var i,s=this,n=e(t?t.currentTarget:this.element),a=this._find(n);return a?(i=a.tooltip,a.closing||(clearInterval(this.delayedShow),n.data("ui-tooltip-title")&&!n.attr("title")&&n.attr("title",n.data("ui-tooltip-title")),this._removeDescribedBy(n),a.hiding=!0,i.stop(!0),this._hide(i,this.options.hide,function(){s._removeTooltip(e(this))}),n.removeData("ui-tooltip-open"),this._off(n,"mouseleave focusout keyup"),n[0]!==this.element[0]&&this._off(n,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&e.each(this.parents,function(t,i){e(i.element).attr("title",i.title),delete s.parents[t]}),a.closing=!0,this._trigger("close",t,{tooltip:i}),a.hiding||(a.closing=!1)),void 0):(n.removeData("ui-tooltip-open"),void 0)},_tooltip:function(t){var i=e("<div>").attr("role","tooltip").addClass("ui-tooltip ui-widget ui-corner-all ui-widget-content "+(this.options.tooltipClass||"")),s=i.uniqueId().attr("id");return e("<div>").addClass("ui-tooltip-content").appendTo(i),i.appendTo(this.document[0].body),this.tooltips[s]={element:t,tooltip:i}},_find:function(e){var t=e.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(e){e.remove(),delete this.tooltips[e.attr("id")]},_destroy:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur"),a=s.element;n.target=n.currentTarget=a[0],t.close(n,!0),e("#"+i).remove(),a.data("ui-tooltip-title")&&(a.attr("title")||a.attr("title",a.data("ui-tooltip-title")),a.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}});var c="ui-effects-",p=e;e.effects={effect:{}},function(e,t){function i(e,t,i){var s=d[t.type]||{};return null==e?i||!t.def?null:t.def:(e=s.floor?~~e:parseFloat(e),isNaN(e)?t.def:s.mod?(e+s.mod)%s.mod:0>e?0:e>s.max?s.max:e)}function s(i){var s=l(),n=s._rgba=[];return i=i.toLowerCase(),f(h,function(e,a){var o,r=a.re.exec(i),h=r&&a.parse(r),l=a.space||"rgba";return h?(o=s[l](h),s[u[l].cache]=o[u[l].cache],n=s._rgba=o._rgba,!1):t}),n.length?("0,0,0,0"===n.join()&&e.extend(n,a.transparent),s):a[i]}function n(e,t,i){return i=(i+1)%1,1>6*i?e+6*(t-e)*i:1>2*i?t:2>3*i?e+6*(t-e)*(2/3-i):e}var a,o="backgroundColor borderBottomColor borderLeftColor borderRightColor borderTopColor color columnRuleColor outlineColor textDecorationColor textEmphasisColor",r=/^([\-+])=\s*(\d+\.?\d*)/,h=[{re:/rgba?\(\s*(\d{1,3})\s*,\s*(\d{1,3})\s*,\s*(\d{1,3})\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[e[1],e[2],e[3],e[4]]}},{re:/rgba?\(\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[2.55*e[1],2.55*e[2],2.55*e[3],e[4]]}},{re:/#([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})/,parse:function(e){return[parseInt(e[1],16),parseInt(e[2],16),parseInt(e[3],16)]}},{re:/#([a-f0-9])([a-f0-9])([a-f0-9])/,parse:function(e){return[parseInt(e[1]+e[1],16),parseInt(e[2]+e[2],16),parseInt(e[3]+e[3],16)]}},{re:/hsla?\(\s*(\d+(?:\.\d+)?)\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,space:"hsla",parse:function(e){return[e[1],e[2]/100,e[3]/100,e[4]]}}],l=e.Color=function(t,i,s,n){return new e.Color.fn.parse(t,i,s,n)},u={rgba:{props:{red:{idx:0,type:"byte"},green:{idx:1,type:"byte"},blue:{idx:2,type:"byte"}}},hsla:{props:{hue:{idx:0,type:"degrees"},saturation:{idx:1,type:"percent"},lightness:{idx:2,type:"percent"}}}},d={"byte":{floor:!0,max:255},percent:{max:1},degrees:{mod:360,floor:!0}},c=l.support={},p=e("<p>")[0],f=e.each;p.style.cssText="background-color:rgba(1,1,1,.5)",c.rgba=p.style.backgroundColor.indexOf("rgba")>-1,f(u,function(e,t){t.cache="_"+e,t.props.alpha={idx:3,type:"percent",def:1}}),l.fn=e.extend(l.prototype,{parse:function(n,o,r,h){if(n===t)return this._rgba=[null,null,null,null],this;(n.jquery||n.nodeType)&&(n=e(n).css(o),o=t);var d=this,c=e.type(n),p=this._rgba=[];return o!==t&&(n=[n,o,r,h],c="array"),"string"===c?this.parse(s(n)||a._default):"array"===c?(f(u.rgba.props,function(e,t){p[t.idx]=i(n[t.idx],t)}),this):"object"===c?(n instanceof l?f(u,function(e,t){n[t.cache]&&(d[t.cache]=n[t.cache].slice())}):f(u,function(t,s){var a=s.cache;f(s.props,function(e,t){if(!d[a]&&s.to){if("alpha"===e||null==n[e])return;d[a]=s.to(d._rgba)}d[a][t.idx]=i(n[e],t,!0)}),d[a]&&0>e.inArray(null,d[a].slice(0,3))&&(d[a][3]=1,s.from&&(d._rgba=s.from(d[a])))}),this):t},is:function(e){var i=l(e),s=!0,n=this;return f(u,function(e,a){var o,r=i[a.cache];return r&&(o=n[a.cache]||a.to&&a.to(n._rgba)||[],f(a.props,function(e,i){return null!=r[i.idx]?s=r[i.idx]===o[i.idx]:t})),s}),s},_space:function(){var e=[],t=this;return f(u,function(i,s){t[s.cache]&&e.push(i)}),e.pop()},transition:function(e,t){var s=l(e),n=s._space(),a=u[n],o=0===this.alpha()?l("transparent"):this,r=o[a.cache]||a.to(o._rgba),h=r.slice();return s=s[a.cache],f(a.props,function(e,n){var a=n.idx,o=r[a],l=s[a],u=d[n.type]||{};null!==l&&(null===o?h[a]=l:(u.mod&&(l-o>u.mod/2?o+=u.mod:o-l>u.mod/2&&(o-=u.mod)),h[a]=i((l-o)*t+o,n)))}),this[n](h)},blend:function(t){if(1===this._rgba[3])return this;var i=this._rgba.slice(),s=i.pop(),n=l(t)._rgba;return l(e.map(i,function(e,t){return(1-s)*n[t]+s*e}))},toRgbaString:function(){var t="rgba(",i=e.map(this._rgba,function(e,t){return null==e?t>2?1:0:e});return 1===i[3]&&(i.pop(),t="rgb("),t+i.join()+")"},toHslaString:function(){var t="hsla(",i=e.map(this.hsla(),function(e,t){return null==e&&(e=t>2?1:0),t&&3>t&&(e=Math.round(100*e)+"%"),e});return 1===i[3]&&(i.pop(),t="hsl("),t+i.join()+")"},toHexString:function(t){var i=this._rgba.slice(),s=i.pop();return t&&i.push(~~(255*s)),"#"+e.map(i,function(e){return e=(e||0).toString(16),1===e.length?"0"+e:e}).join("")},toString:function(){return 0===this._rgba[3]?"transparent":this.toRgbaString()}}),l.fn.parse.prototype=l.fn,u.hsla.to=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t,i,s=e[0]/255,n=e[1]/255,a=e[2]/255,o=e[3],r=Math.max(s,n,a),h=Math.min(s,n,a),l=r-h,u=r+h,d=.5*u;return t=h===r?0:s===r?60*(n-a)/l+360:n===r?60*(a-s)/l+120:60*(s-n)/l+240,i=0===l?0:.5>=d?l/u:l/(2-u),[Math.round(t)%360,i,d,null==o?1:o]},u.hsla.from=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t=e[0]/360,i=e[1],s=e[2],a=e[3],o=.5>=s?s*(1+i):s+i-s*i,r=2*s-o;return[Math.round(255*n(r,o,t+1/3)),Math.round(255*n(r,o,t)),Math.round(255*n(r,o,t-1/3)),a]},f(u,function(s,n){var a=n.props,o=n.cache,h=n.to,u=n.from;l.fn[s]=function(s){if(h&&!this[o]&&(this[o]=h(this._rgba)),s===t)return this[o].slice();var n,r=e.type(s),d="array"===r||"object"===r?s:arguments,c=this[o].slice();return f(a,function(e,t){var s=d["object"===r?e:t.idx];null==s&&(s=c[t.idx]),c[t.idx]=i(s,t)}),u?(n=l(u(c)),n[o]=c,n):l(c)},f(a,function(t,i){l.fn[t]||(l.fn[t]=function(n){var a,o=e.type(n),h="alpha"===t?this._hsla?"hsla":"rgba":s,l=this[h](),u=l[i.idx];return"undefined"===o?u:("function"===o&&(n=n.call(this,u),o=e.type(n)),null==n&&i.empty?this:("string"===o&&(a=r.exec(n),a&&(n=u+parseFloat(a[2])*("+"===a[1]?1:-1))),l[i.idx]=n,this[h](l)))})})}),l.hook=function(t){var i=t.split(" ");f(i,function(t,i){e.cssHooks[i]={set:function(t,n){var a,o,r="";if("transparent"!==n&&("string"!==e.type(n)||(a=s(n)))){if(n=l(a||n),!c.rgba&&1!==n._rgba[3]){for(o="backgroundColor"===i?t.parentNode:t;(""===r||"transparent"===r)&&o&&o.style;)try{r=e.css(o,"backgroundColor"),o=o.parentNode}catch(h){}n=n.blend(r&&"transparent"!==r?r:"_default")}n=n.toRgbaString()}try{t.style[i]=n}catch(h){}}},e.fx.step[i]=function(t){t.colorInit||(t.start=l(t.elem,i),t.end=l(t.end),t.colorInit=!0),e.cssHooks[i].set(t.elem,t.start.transition(t.end,t.pos))}})},l.hook(o),e.cssHooks.borderColor={expand:function(e){var t={};return f(["Top","Right","Bottom","Left"],function(i,s){t["border"+s+"Color"]=e}),t}},a=e.Color.names={aqua:"#00ffff",black:"#000000",blue:"#0000ff",fuchsia:"#ff00ff",gray:"#808080",green:"#008000",lime:"#00ff00",maroon:"#800000",navy:"#000080",olive:"#808000",purple:"#800080",red:"#ff0000",silver:"#c0c0c0",teal:"#008080",white:"#ffffff",yellow:"#ffff00",transparent:[null,null,null,0],_default:"#ffffff"}}(p),function(){function t(t){var i,s,n=t.ownerDocument.defaultView?t.ownerDocument.defaultView.getComputedStyle(t,null):t.currentStyle,a={};if(n&&n.length&&n[0]&&n[n[0]])for(s=n.length;s--;)i=n[s],"string"==typeof n[i]&&(a[e.camelCase(i)]=n[i]);else for(i in n)"string"==typeof n[i]&&(a[i]=n[i]);return a}function i(t,i){var s,a,o={};for(s in i)a=i[s],t[s]!==a&&(n[s]||(e.fx.step[s]||!isNaN(parseFloat(a)))&&(o[s]=a));return o}var s=["add","remove","toggle"],n={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1};e.each(["borderLeftStyle","borderRightStyle","borderBottomStyle","borderTopStyle"],function(t,i){e.fx.step[i]=function(e){("none"!==e.end&&!e.setAttr||1===e.pos&&!e.setAttr)&&(p.style(e.elem,i,e.end),e.setAttr=!0)}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e.effects.animateClass=function(n,a,o,r){var h=e.speed(a,o,r);return this.queue(function(){var a,o=e(this),r=o.attr("class")||"",l=h.children?o.find("*").addBack():o;l=l.map(function(){var i=e(this);return{el:i,start:t(this)}}),a=function(){e.each(s,function(e,t){n[t]&&o[t+"Class"](n[t])})},a(),l=l.map(function(){return this.end=t(this.el[0]),this.diff=i(this.start,this.end),this}),o.attr("class",r),l=l.map(function(){var t=this,i=e.Deferred(),s=e.extend({},h,{queue:!1,complete:function(){i.resolve(t)}});return this.el.animate(this.diff,s),i.promise()}),e.when.apply(e,l.get()).done(function(){a(),e.each(arguments,function(){var t=this.el;e.each(this.diff,function(e){t.css(e,"")})}),h.complete.call(o[0])})})},e.fn.extend({addClass:function(t){return function(i,s,n,a){return s?e.effects.animateClass.call(this,{add:i},s,n,a):t.apply(this,arguments)}}(e.fn.addClass),removeClass:function(t){return function(i,s,n,a){return arguments.length>1?e.effects.animateClass.call(this,{remove:i},s,n,a):t.apply(this,arguments)}}(e.fn.removeClass),toggleClass:function(t){return function(i,s,n,a,o){return"boolean"==typeof s||void 0===s?n?e.effects.animateClass.call(this,s?{add:i}:{remove:i},n,a,o):t.apply(this,arguments):e.effects.animateClass.call(this,{toggle:i},s,n,a)}}(e.fn.toggleClass),switchClass:function(t,i,s,n,a){return e.effects.animateClass.call(this,{add:i,remove:t},s,n,a)}})}(),function(){function t(t,i,s,n){return e.isPlainObject(t)&&(i=t,t=t.effect),t={effect:t},null==i&&(i={}),e.isFunction(i)&&(n=i,s=null,i={}),("number"==typeof i||e.fx.speeds[i])&&(n=s,s=i,i={}),e.isFunction(s)&&(n=s,s=null),i&&e.extend(t,i),s=s||i.duration,t.duration=e.fx.off?0:"number"==typeof s?s:s in e.fx.speeds?e.fx.speeds[s]:e.fx.speeds._default,t.complete=n||i.complete,t}function i(t){return!t||"number"==typeof t||e.fx.speeds[t]?!0:"string"!=typeof t||e.effects.effect[t]?e.isFunction(t)?!0:"object"!=typeof t||t.effect?!1:!0:!0}e.extend(e.effects,{version:"1.11.4",save:function(e,t){for(var i=0;t.length>i;i++)null!==t[i]&&e.data(c+t[i],e[0].style[t[i]])},restore:function(e,t){var i,s;for(s=0;t.length>s;s++)null!==t[s]&&(i=e.data(c+t[s]),void 0===i&&(i=""),e.css(t[s],i))},setMode:function(e,t){return"toggle"===t&&(t=e.is(":hidden")?"show":"hide"),t},getBaseline:function(e,t){var i,s;switch(e[0]){case"top":i=0;break;case"middle":i=.5;break;case"bottom":i=1;break;default:i=e[0]/t.height}switch(e[1]){case"left":s=0;break;case"center":s=.5;break;case"right":s=1;break;default:s=e[1]/t.width}return{x:s,y:i}},createWrapper:function(t){if(t.parent().is(".ui-effects-wrapper"))return t.parent();var i={width:t.outerWidth(!0),height:t.outerHeight(!0),"float":t.css("float")},s=e("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),n={width:t.width(),height:t.height()},a=document.activeElement;try{a.id}catch(o){a=document.body}return t.wrap(s),(t[0]===a||e.contains(t[0],a))&&e(a).focus(),s=t.parent(),"static"===t.css("position")?(s.css({position:"relative"}),t.css({position:"relative"})):(e.extend(i,{position:t.css("position"),zIndex:t.css("z-index")}),e.each(["top","left","bottom","right"],function(e,s){i[s]=t.css(s),isNaN(parseInt(i[s],10))&&(i[s]="auto")}),t.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"})),t.css(n),s.css(i).show()},removeWrapper:function(t){var i=document.activeElement;return t.parent().is(".ui-effects-wrapper")&&(t.parent().replaceWith(t),(t[0]===i||e.contains(t[0],i))&&e(i).focus()),t},setTransition:function(t,i,s,n){return n=n||{},e.each(i,function(e,i){var a=t.cssUnit(i);a[0]>0&&(n[i]=a[0]*s+a[1])}),n}}),e.fn.extend({effect:function(){function i(t){function i(){e.isFunction(a)&&a.call(n[0]),e.isFunction(t)&&t()}var n=e(this),a=s.complete,r=s.mode;(n.is(":hidden")?"hide"===r:"show"===r)?(n[r](),i()):o.call(n[0],s,i)}var s=t.apply(this,arguments),n=s.mode,a=s.queue,o=e.effects.effect[s.effect];return e.fx.off||!o?n?this[n](s.duration,s.complete):this.each(function(){s.complete&&s.complete.call(this)}):a===!1?this.each(i):this.queue(a||"fx",i)},show:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="show",this.effect.call(this,n)}}(e.fn.show),hide:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="hide",this.effect.call(this,n)}}(e.fn.hide),toggle:function(e){return function(s){if(i(s)||"boolean"==typeof s)return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="toggle",this.effect.call(this,n)}}(e.fn.toggle),cssUnit:function(t){var i=this.css(t),s=[];return e.each(["em","px","%","pt"],function(e,t){i.indexOf(t)>0&&(s=[parseFloat(i),t])}),s}})}(),function(){var t={};e.each(["Quad","Cubic","Quart","Quint","Expo"],function(e,i){t[i]=function(t){return Math.pow(t,e+2)}}),e.extend(t,{Sine:function(e){return 1-Math.cos(e*Math.PI/2)},Circ:function(e){return 1-Math.sqrt(1-e*e)},Elastic:function(e){return 0===e||1===e?e:-Math.pow(2,8*(e-1))*Math.sin((80*(e-1)-7.5)*Math.PI/15)},Back:function(e){return e*e*(3*e-2)},Bounce:function(e){for(var t,i=4;((t=Math.pow(2,--i))-1)/11>e;);return 1/Math.pow(4,3-i)-7.5625*Math.pow((3*t-2)/22-e,2)}}),e.each(t,function(t,i){e.easing["easeIn"+t]=i,e.easing["easeOut"+t]=function(e){return 1-i(1-e)},e.easing["easeInOut"+t]=function(e){return.5>e?i(2*e)/2:1-i(-2*e+2)/2}})}(),e.effects,e.effects.effect.blind=function(t,i){var s,n,a,o=e(this),r=/up|down|vertical/,h=/up|left|vertical|horizontal/,l=["position","top","bottom","left","right","height","width"],u=e.effects.setMode(o,t.mode||"hide"),d=t.direction||"up",c=r.test(d),p=c?"height":"width",f=c?"top":"left",m=h.test(d),g={},v="show"===u;o.parent().is(".ui-effects-wrapper")?e.effects.save(o.parent(),l):e.effects.save(o,l),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n=s[p](),a=parseFloat(s.css(f))||0,g[p]=v?n:0,m||(o.css(c?"bottom":"right",0).css(c?"top":"left","auto").css({position:"absolute"}),g[f]=v?a:n+a),v&&(s.css(p,0),m||s.css(f,a+n)),s.animate(g,{duration:t.duration,easing:t.easing,queue:!1,complete:function(){"hide"===u&&o.hide(),e.effects.restore(o,l),e.effects.removeWrapper(o),i()
+}})},e.effects.effect.bounce=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"effect"),l="hide"===h,u="show"===h,d=t.direction||"up",c=t.distance,p=t.times||5,f=2*p+(u||l?1:0),m=t.duration/f,g=t.easing,v="up"===d||"down"===d?"top":"left",y="up"===d||"left"===d,b=o.queue(),_=b.length;for((u||l)&&r.push("opacity"),e.effects.save(o,r),o.show(),e.effects.createWrapper(o),c||(c=o["top"===v?"outerHeight":"outerWidth"]()/3),u&&(a={opacity:1},a[v]=0,o.css("opacity",0).css(v,y?2*-c:2*c).animate(a,m,g)),l&&(c/=Math.pow(2,p-1)),a={},a[v]=0,s=0;p>s;s++)n={},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g).animate(a,m,g),c=l?2*c:c/2;l&&(n={opacity:0},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g)),o.queue(function(){l&&o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}),_>1&&b.splice.apply(b,[1,0].concat(b.splice(_,f+1))),o.dequeue()},e.effects.effect.clip=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"hide"),l="show"===h,u=t.direction||"vertical",d="vertical"===u,c=d?"height":"width",p=d?"top":"left",f={};e.effects.save(o,r),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n="IMG"===o[0].tagName?s:o,a=n[c](),l&&(n.css(c,0),n.css(p,a/2)),f[c]=l?a:0,f[p]=l?0:a/2,n.animate(f,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){l||o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}})},e.effects.effect.drop=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","opacity","height","width"],o=e.effects.setMode(n,t.mode||"hide"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h?"pos":"neg",d={opacity:r?1:0};e.effects.save(n,a),n.show(),e.effects.createWrapper(n),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0)/2,r&&n.css("opacity",0).css(l,"pos"===u?-s:s),d[l]=(r?"pos"===u?"+=":"-=":"pos"===u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.explode=function(t,i){function s(){b.push(this),b.length===d*c&&n()}function n(){p.css({visibility:"visible"}),e(b).remove(),m||p.hide(),i()}var a,o,r,h,l,u,d=t.pieces?Math.round(Math.sqrt(t.pieces)):3,c=d,p=e(this),f=e.effects.setMode(p,t.mode||"hide"),m="show"===f,g=p.show().css("visibility","hidden").offset(),v=Math.ceil(p.outerWidth()/c),y=Math.ceil(p.outerHeight()/d),b=[];for(a=0;d>a;a++)for(h=g.top+a*y,u=a-(d-1)/2,o=0;c>o;o++)r=g.left+o*v,l=o-(c-1)/2,p.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-o*v,top:-a*y}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:v,height:y,left:r+(m?l*v:0),top:h+(m?u*y:0),opacity:m?0:1}).animate({left:r+(m?0:l*v),top:h+(m?0:u*y),opacity:m?1:0},t.duration||500,t.easing,s)},e.effects.effect.fade=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"toggle");s.animate({opacity:n},{queue:!1,duration:t.duration,easing:t.easing,complete:i})},e.effects.effect.fold=function(t,i){var s,n,a=e(this),o=["position","top","bottom","left","right","height","width"],r=e.effects.setMode(a,t.mode||"hide"),h="show"===r,l="hide"===r,u=t.size||15,d=/([0-9]+)%/.exec(u),c=!!t.horizFirst,p=h!==c,f=p?["width","height"]:["height","width"],m=t.duration/2,g={},v={};e.effects.save(a,o),a.show(),s=e.effects.createWrapper(a).css({overflow:"hidden"}),n=p?[s.width(),s.height()]:[s.height(),s.width()],d&&(u=parseInt(d[1],10)/100*n[l?0:1]),h&&s.css(c?{height:0,width:u}:{height:u,width:0}),g[f[0]]=h?n[0]:u,v[f[1]]=h?n[1]:0,s.animate(g,m,t.easing).animate(v,m,t.easing,function(){l&&a.hide(),e.effects.restore(a,o),e.effects.removeWrapper(a),i()})},e.effects.effect.highlight=function(t,i){var s=e(this),n=["backgroundImage","backgroundColor","opacity"],a=e.effects.setMode(s,t.mode||"show"),o={backgroundColor:s.css("backgroundColor")};"hide"===a&&(o.opacity=0),e.effects.save(s,n),s.show().css({backgroundImage:"none",backgroundColor:t.color||"#ffff99"}).animate(o,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===a&&s.hide(),e.effects.restore(s,n),i()}})},e.effects.effect.size=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","width","height","overflow","opacity"],h=["position","top","bottom","left","right","overflow","opacity"],l=["width","height","overflow"],u=["fontSize"],d=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],c=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],p=e.effects.setMode(o,t.mode||"effect"),f=t.restore||"effect"!==p,m=t.scale||"both",g=t.origin||["middle","center"],v=o.css("position"),y=f?r:h,b={height:0,width:0,outerHeight:0,outerWidth:0};"show"===p&&o.show(),s={height:o.height(),width:o.width(),outerHeight:o.outerHeight(),outerWidth:o.outerWidth()},"toggle"===t.mode&&"show"===p?(o.from=t.to||b,o.to=t.from||s):(o.from=t.from||("show"===p?b:s),o.to=t.to||("hide"===p?b:s)),a={from:{y:o.from.height/s.height,x:o.from.width/s.width},to:{y:o.to.height/s.height,x:o.to.width/s.width}},("box"===m||"both"===m)&&(a.from.y!==a.to.y&&(y=y.concat(d),o.from=e.effects.setTransition(o,d,a.from.y,o.from),o.to=e.effects.setTransition(o,d,a.to.y,o.to)),a.from.x!==a.to.x&&(y=y.concat(c),o.from=e.effects.setTransition(o,c,a.from.x,o.from),o.to=e.effects.setTransition(o,c,a.to.x,o.to))),("content"===m||"both"===m)&&a.from.y!==a.to.y&&(y=y.concat(u).concat(l),o.from=e.effects.setTransition(o,u,a.from.y,o.from),o.to=e.effects.setTransition(o,u,a.to.y,o.to)),e.effects.save(o,y),o.show(),e.effects.createWrapper(o),o.css("overflow","hidden").css(o.from),g&&(n=e.effects.getBaseline(g,s),o.from.top=(s.outerHeight-o.outerHeight())*n.y,o.from.left=(s.outerWidth-o.outerWidth())*n.x,o.to.top=(s.outerHeight-o.to.outerHeight)*n.y,o.to.left=(s.outerWidth-o.to.outerWidth)*n.x),o.css(o.from),("content"===m||"both"===m)&&(d=d.concat(["marginTop","marginBottom"]).concat(u),c=c.concat(["marginLeft","marginRight"]),l=r.concat(d).concat(c),o.find("*[width]").each(function(){var i=e(this),s={height:i.height(),width:i.width(),outerHeight:i.outerHeight(),outerWidth:i.outerWidth()};f&&e.effects.save(i,l),i.from={height:s.height*a.from.y,width:s.width*a.from.x,outerHeight:s.outerHeight*a.from.y,outerWidth:s.outerWidth*a.from.x},i.to={height:s.height*a.to.y,width:s.width*a.to.x,outerHeight:s.height*a.to.y,outerWidth:s.width*a.to.x},a.from.y!==a.to.y&&(i.from=e.effects.setTransition(i,d,a.from.y,i.from),i.to=e.effects.setTransition(i,d,a.to.y,i.to)),a.from.x!==a.to.x&&(i.from=e.effects.setTransition(i,c,a.from.x,i.from),i.to=e.effects.setTransition(i,c,a.to.x,i.to)),i.css(i.from),i.animate(i.to,t.duration,t.easing,function(){f&&e.effects.restore(i,l)})})),o.animate(o.to,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){0===o.to.opacity&&o.css("opacity",o.from.opacity),"hide"===p&&o.hide(),e.effects.restore(o,y),f||("static"===v?o.css({position:"relative",top:o.to.top,left:o.to.left}):e.each(["top","left"],function(e,t){o.css(t,function(t,i){var s=parseInt(i,10),n=e?o.to.left:o.to.top;return"auto"===i?n+"px":s+n+"px"})})),e.effects.removeWrapper(o),i()}})},e.effects.effect.scale=function(t,i){var s=e(this),n=e.extend(!0,{},t),a=e.effects.setMode(s,t.mode||"effect"),o=parseInt(t.percent,10)||(0===parseInt(t.percent,10)?0:"hide"===a?0:100),r=t.direction||"both",h=t.origin,l={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()},u={y:"horizontal"!==r?o/100:1,x:"vertical"!==r?o/100:1};n.effect="size",n.queue=!1,n.complete=i,"effect"!==a&&(n.origin=h||["middle","center"],n.restore=!0),n.from=t.from||("show"===a?{height:0,width:0,outerHeight:0,outerWidth:0}:l),n.to={height:l.height*u.y,width:l.width*u.x,outerHeight:l.outerHeight*u.y,outerWidth:l.outerWidth*u.x},n.fade&&("show"===a&&(n.from.opacity=0,n.to.opacity=1),"hide"===a&&(n.from.opacity=1,n.to.opacity=0)),s.effect(n)},e.effects.effect.puff=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"hide"),a="hide"===n,o=parseInt(t.percent,10)||150,r=o/100,h={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()};e.extend(t,{effect:"scale",queue:!1,fade:!0,mode:n,complete:i,percent:a?o:100,from:a?h:{height:h.height*r,width:h.width*r,outerHeight:h.outerHeight*r,outerWidth:h.outerWidth*r}}),s.effect(t)},e.effects.effect.pulsate=function(t,i){var s,n=e(this),a=e.effects.setMode(n,t.mode||"show"),o="show"===a,r="hide"===a,h=o||"hide"===a,l=2*(t.times||5)+(h?1:0),u=t.duration/l,d=0,c=n.queue(),p=c.length;for((o||!n.is(":visible"))&&(n.css("opacity",0).show(),d=1),s=1;l>s;s++)n.animate({opacity:d},u,t.easing),d=1-d;n.animate({opacity:d},u,t.easing),n.queue(function(){r&&n.hide(),i()}),p>1&&c.splice.apply(c,[1,0].concat(c.splice(p,l+1))),n.dequeue()},e.effects.effect.shake=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","height","width"],o=e.effects.setMode(n,t.mode||"effect"),r=t.direction||"left",h=t.distance||20,l=t.times||3,u=2*l+1,d=Math.round(t.duration/u),c="up"===r||"down"===r?"top":"left",p="up"===r||"left"===r,f={},m={},g={},v=n.queue(),y=v.length;for(e.effects.save(n,a),n.show(),e.effects.createWrapper(n),f[c]=(p?"-=":"+=")+h,m[c]=(p?"+=":"-=")+2*h,g[c]=(p?"-=":"+=")+2*h,n.animate(f,d,t.easing),s=1;l>s;s++)n.animate(m,d,t.easing).animate(g,d,t.easing);n.animate(m,d,t.easing).animate(f,d/2,t.easing).queue(function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}),y>1&&v.splice.apply(v,[1,0].concat(v.splice(y,u+1))),n.dequeue()},e.effects.effect.slide=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","width","height"],o=e.effects.setMode(n,t.mode||"show"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h,d={};e.effects.save(n,a),n.show(),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0),e.effects.createWrapper(n).css({overflow:"hidden"}),r&&n.css(l,u?isNaN(s)?"-"+s:-s:s),d[l]=(r?u?"+=":"-=":u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.transfer=function(t,i){var s=e(this),n=e(t.to),a="fixed"===n.css("position"),o=e("body"),r=a?o.scrollTop():0,h=a?o.scrollLeft():0,l=n.offset(),u={top:l.top-r,left:l.left-h,height:n.innerHeight(),width:n.innerWidth()},d=s.offset(),c=e("<div class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
 <style type="text/css">
 
 .tocify {
@@ -1296,8 +1302,6 @@
   // select all R code blocks
   var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
   rCodeBlocks.each(function() {
-    // skip if the block has fold-none class
-    if ($(this).hasClass('fold-none')) return;
 
     // create a collapsable div to wrap the code in
     var div = $('<div class="collapse r-code-collapse"></div>');
@@ -1308,14 +1312,12 @@
     $(this).detach().appendTo(div);
 
     // add a show code button right above
-    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Show') + '</span>');
+    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
     var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
     showCodeButton.append(showCodeText);
     showCodeButton
         .attr('data-toggle', 'collapse')
-        .attr('data-bs-toggle', 'collapse') // BS5
         .attr('data-target', '#' + id)
-        .attr('data-bs-target', '#' + id)   // BS5
         .attr('aria-expanded', showThis)
         .attr('aria-controls', id);
 
@@ -1334,7 +1336,7 @@
     //   * Change text
     //   * add a class for intermediate states styling
     div.on('hide.bs.collapse', function () {
-      showCodeText.text('Show');
+      showCodeText.text('Code');
       showCodeButton.addClass('btn-collapsing');
     });
     div.on('hidden.bs.collapse', function () {
@@ -1641,18 +1643,20 @@
       document.body.style.height = "100%";
       document.documentElement.style.width = "100%";
       document.documentElement.style.height = "100%";
-      cel.style.position = "absolute";
-      var pad = unpackPadding(sizing.padding);
-      cel.style.top = pad.top + "px";
-      cel.style.right = pad.right + "px";
-      cel.style.bottom = pad.bottom + "px";
-      cel.style.left = pad.left + "px";
-      el.style.width = "100%";
-      el.style.height = "100%";
+      if (cel) {
+        cel.style.position = "absolute";
+        var pad = unpackPadding(sizing.padding);
+        cel.style.top = pad.top + "px";
+        cel.style.right = pad.right + "px";
+        cel.style.bottom = pad.bottom + "px";
+        cel.style.left = pad.left + "px";
+        el.style.width = "100%";
+        el.style.height = "100%";
+      }
 
       return {
-        getWidth: function() { return cel.getBoundingClientRect().width; },
-        getHeight: function() { return cel.getBoundingClientRect().height; }
+        getWidth: function() { return cel.offsetWidth; },
+        getHeight: function() { return cel.offsetHeight; }
       };
 
     } else {
@@ -1660,8 +1664,8 @@
       el.style.height = px(sizing.height);
 
       return {
-        getWidth: function() { return cel.getBoundingClientRect().width; },
-        getHeight: function() { return cel.getBoundingClientRect().height; }
+        getWidth: function() { return el.offsetWidth; },
+        getHeight: function() { return el.offsetHeight; }
       };
     }
   }
@@ -1885,8 +1889,8 @@
 
           elementData(el, "initialized", true);
           if (bindingDef.initialize) {
-            var rect = el.getBoundingClientRect();
-            var result = bindingDef.initialize(el, rect.width, rect.height);
+            var result = bindingDef.initialize(el, el.offsetWidth,
+              el.offsetHeight);
             elementData(el, "init_result", result);
           }
         }
@@ -1928,30 +1932,29 @@
       forEach(matches, function(el) {
         var sizeObj = initSizing(el, binding);
 
-        var getSize = function(el) {
-          if (sizeObj) {
-            return {w: sizeObj.getWidth(), h: sizeObj.getHeight()}
-          } else {
-            var rect = el.getBoundingClientRect();
-            return {w: rect.width, h: rect.height}
-          }
-        };
-
         if (hasClass(el, "html-widget-static-bound"))
           return;
         el.className = el.className + " html-widget-static-bound";
 
         var initResult;
         if (binding.initialize) {
-          var size = getSize(el);
-          initResult = binding.initialize(el, size.w, size.h);
+          initResult = binding.initialize(el,
+            sizeObj ? sizeObj.getWidth() : el.offsetWidth,
+            sizeObj ? sizeObj.getHeight() : el.offsetHeight
+          );
           elementData(el, "init_result", initResult);
         }
 
         if (binding.resize) {
-          var lastSize = getSize(el);
+          var lastSize = {
+            w: sizeObj ? sizeObj.getWidth() : el.offsetWidth,
+            h: sizeObj ? sizeObj.getHeight() : el.offsetHeight
+          };
           var resizeHandler = function(e) {
-            var size = getSize(el);
+            var size = {
+              w: sizeObj ? sizeObj.getWidth() : el.offsetWidth,
+              h: sizeObj ? sizeObj.getHeight() : el.offsetHeight
+            };
             if (size.w === 0 && size.h === 0)
               return;
             if (size.w === lastSize.w && size.h === lastSize.h)
@@ -2253,6 +2256,7 @@
     return result;
   }
 })();
+
 </script>
 <script>
 HTMLWidgets.widget({
@@ -2415,13 +2419,9 @@
     // if no plot exists yet, create one with a particular configuration
     if (!instance.plotly) {
       
-      var plot = Plotly.newPlot(graphDiv, x);
+      var plot = Plotly.plot(graphDiv, x);
       instance.plotly = true;
       
-    } else if (x.layout.transition) {
-      
-      var plot = Plotly.react(graphDiv, x);
-    
     } else {
       
       // this is essentially equivalent to Plotly.newPlot(), but avoids creating 
@@ -2433,7 +2433,7 @@
       // TODO: why is this necessary to get crosstalk working?
       graphDiv.data = undefined;
       graphDiv.layout = undefined;
-      var plot = Plotly.newPlot(graphDiv, x);
+      var plot = Plotly.plot(graphDiv, x);
     }
     
     // Trigger plotly.js calls defined via `plotlyProxy()`
@@ -2872,9 +2872,9 @@
         traces.push(trace);
       }
     }
-    this.gd.data = traces;
   }
   
+  this.gd.data = traces;
   Plotly.redraw(this.gd);
   
   // NOTE: we purposely do _not_ restore selection(s), since on filter,
@@ -3205,74 +3205,66 @@
 }
 </style>
 <script>/**
-* plotly.js v2.11.1
-* Copyright 2012-2022, Plotly, Inc.
+* plotly.js v1.57.1
+* Copyright 2012-2020, Plotly, Inc.
 * All rights reserved.
 * Licensed under the MIT license
 */
-!function(t){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=t();else if("function"==typeof define&&define.amd)define([],t);else{("undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l="function"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error("Cannot find module '"+o+"'");throw c.code="MODULE_NOT_FOUND",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return i(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var a="function"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){"use strict";var n=t("../src/lib"),i={"X,X div":'direction:ltr;font-family:"Open Sans",verdana,arial,sans-serif;margin:0;padding:0;',"X input,X button":'font-family:"Open Sans",verdana,arial,sans-serif;',"X input:focus,X button:focus":"outline:none;","X a":"text-decoration:none;","X a:hover":"text-decoration:none;","X .crisp":"shape-rendering:crispEdges;","X .user-select-none":"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;","X svg":"overflow:hidden;","X svg a":"fill:#447adb;","X svg a:hover":"fill:#3c6dc5;","X .main-svg":"position:absolute;top:0;left:0;pointer-events:none;","X .main-svg .draglayer":"pointer-events:all;","X .cursor-default":"cursor:default;","X .cursor-pointer":"cursor:pointer;","X .cursor-crosshair":"cursor:crosshair;","X .cursor-move":"cursor:move;","X .cursor-col-resize":"cursor:col-resize;","X .cursor-row-resize":"cursor:row-resize;","X .cursor-ns-resize":"cursor:ns-resize;","X .cursor-ew-resize":"cursor:ew-resize;","X .cursor-sw-resize":"cursor:sw-resize;","X .cursor-s-resize":"cursor:s-resize;","X .cursor-se-resize":"cursor:se-resize;","X .cursor-w-resize":"cursor:w-resize;","X .cursor-e-resize":"cursor:e-resize;","X .cursor-nw-resize":"cursor:nw-resize;","X .cursor-n-resize":"cursor:n-resize;","X .cursor-ne-resize":"cursor:ne-resize;","X .cursor-grab":"cursor:-webkit-grab;cursor:grab;","X .modebar":"position:absolute;top:2px;right:2px;","X .ease-bg":"-webkit-transition:background-color .3s ease 0s;-moz-transition:background-color .3s ease 0s;-ms-transition:background-color .3s ease 0s;-o-transition:background-color .3s ease 0s;transition:background-color .3s ease 0s;","X .modebar--hover>:not(.watermark)":"opacity:0;-webkit-transition:opacity .3s ease 0s;-moz-transition:opacity .3s ease 0s;-ms-transition:opacity .3s ease 0s;-o-transition:opacity .3s ease 0s;transition:opacity .3s ease 0s;","X:hover .modebar--hover .modebar-group":"opacity:1;","X .modebar-group":"float:left;display:inline-block;box-sizing:border-box;padding-left:8px;position:relative;vertical-align:middle;white-space:nowrap;","X .modebar-btn":"position:relative;font-size:16px;padding:3px 4px;height:22px;cursor:pointer;line-height:normal;box-sizing:border-box;","X .modebar-btn svg":"position:relative;top:2px;","X .modebar.vertical":"display:flex;flex-direction:column;flex-wrap:wrap;align-content:flex-end;max-height:100%;","X .modebar.vertical svg":"top:-1px;","X .modebar.vertical .modebar-group":"display:block;float:none;padding-left:0px;padding-bottom:8px;","X .modebar.vertical .modebar-group .modebar-btn":"display:block;text-align:center;","X [data-title]:before,X [data-title]:after":"position:absolute;-webkit-transform:translate3d(0, 0, 0);-moz-transform:translate3d(0, 0, 0);-ms-transform:translate3d(0, 0, 0);-o-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);display:none;opacity:0;z-index:1001;pointer-events:none;top:110%;right:50%;","X [data-title]:hover:before,X [data-title]:hover:after":"display:block;opacity:1;","X [data-title]:before":'content:"";position:absolute;background:transparent;border:6px solid transparent;z-index:1002;margin-top:-12px;border-bottom-color:#69738a;margin-right:-6px;',"X [data-title]:after":"content:attr(data-title);background:#69738a;color:#fff;padding:8px 10px;font-size:12px;line-height:12px;white-space:nowrap;margin-right:-18px;border-radius:2px;","X .vertical [data-title]:before,X .vertical [data-title]:after":"top:0%;right:200%;","X .vertical [data-title]:before":"border:6px solid transparent;border-left-color:#69738a;margin-top:8px;margin-right:-30px;","X .select-outline":"fill:none;stroke-width:1;shape-rendering:crispEdges;","X .select-outline-1":"stroke:#fff;","X .select-outline-2":"stroke:#000;stroke-dasharray:2px 2px;",Y:'font-family:"Open Sans",verdana,arial,sans-serif;position:fixed;top:50px;right:20px;z-index:10000;font-size:10pt;max-width:180px;',"Y p":"margin:0;","Y .notifier-note":"min-width:180px;max-width:250px;border:1px solid #fff;z-index:3000;margin:0;background-color:#8c97af;background-color:rgba(140,151,175,.9);color:#fff;padding:10px;overflow-wrap:break-word;word-wrap:break-word;-ms-hyphens:auto;-webkit-hyphens:auto;hyphens:auto;","Y .notifier-close":"color:#fff;opacity:.8;float:right;padding:0 5px;background:none;border:none;font-size:20px;font-weight:bold;line-height:20px;","Y .notifier-close:hover":"color:#444;text-decoration:none;cursor:pointer;"};for(var a in i){var o=a.replace(/^,/," ,").replace(/X/g,".js-plotly-plot .plotly").replace(/Y/g,".plotly-notifier");n.addStyleRule(o,i[a])}},{"../src/lib":498}],2:[function(t,e,r){"use strict";e.exports=t("../src/transforms/aggregate")},{"../src/transforms/aggregate":1113}],3:[function(t,e,r){"use strict";e.exports=t("../src/traces/bar")},{"../src/traces/bar":651}],4:[function(t,e,r){"use strict";e.exports=t("../src/traces/barpolar")},{"../src/traces/barpolar":664}],5:[function(t,e,r){"use strict";e.exports=t("../src/traces/box")},{"../src/traces/box":674}],6:[function(t,e,r){"use strict";e.exports=t("../src/components/calendars")},{"../src/components/calendars":359}],7:[function(t,e,r){"use strict";e.exports=t("../src/traces/candlestick")},{"../src/traces/candlestick":683}],8:[function(t,e,r){"use strict";e.exports=t("../src/traces/carpet")},{"../src/traces/carpet":702}],9:[function(t,e,r){"use strict";e.exports=t("../src/traces/choropleth")},{"../src/traces/choropleth":716}],10:[function(t,e,r){"use strict";e.exports=t("../src/traces/choroplethmapbox")},{"../src/traces/choroplethmapbox":723}],11:[function(t,e,r){"use strict";e.exports=t("../src/traces/cone")},{"../src/traces/cone":729}],12:[function(t,e,r){"use strict";e.exports=t("../src/traces/contour")},{"../src/traces/contour":744}],13:[function(t,e,r){"use strict";e.exports=t("../src/traces/contourcarpet")},{"../src/traces/contourcarpet":755}],14:[function(t,e,r){"use strict";e.exports=t("../src/core")},{"../src/core":476}],15:[function(t,e,r){"use strict";e.exports=t("../src/traces/densitymapbox")},{"../src/traces/densitymapbox":763}],16:[function(t,e,r){"use strict";e.exports=t("../src/transforms/filter")},{"../src/transforms/filter":1114}],17:[function(t,e,r){"use strict";e.exports=t("../src/traces/funnel")},{"../src/traces/funnel":773}],18:[function(t,e,r){"use strict";e.exports=t("../src/traces/funnelarea")},{"../src/traces/funnelarea":782}],19:[function(t,e,r){"use strict";e.exports=t("../src/transforms/groupby")},{"../src/transforms/groupby":1115}],20:[function(t,e,r){"use strict";e.exports=t("../src/traces/heatmap")},{"../src/traces/heatmap":795}],21:[function(t,e,r){"use strict";e.exports=t("../src/traces/heatmapgl")},{"../src/traces/heatmapgl":806}],22:[function(t,e,r){"use strict";e.exports=t("../src/traces/histogram")},{"../src/traces/histogram":818}],23:[function(t,e,r){"use strict";e.exports=t("../src/traces/histogram2d")},{"../src/traces/histogram2d":824}],24:[function(t,e,r){"use strict";e.exports=t("../src/traces/histogram2dcontour")},{"../src/traces/histogram2dcontour":828}],25:[function(t,e,r){"use strict";e.exports=t("../src/traces/icicle")},{"../src/traces/icicle":834}],26:[function(t,e,r){"use strict";e.exports=t("../src/traces/image")},{"../src/traces/image":847}],27:[function(t,e,r){"use strict";var n=t("./core");n.register([t("./bar"),t("./box"),t("./heatmap"),t("./histogram"),t("./histogram2d"),t("./histogram2dcontour"),t("./contour"),t("./scatterternary"),t("./violin"),t("./funnel"),t("./waterfall"),t("./image"),t("./pie"),t("./sunburst"),t("./treemap"),t("./icicle"),t("./funnelarea"),t("./scatter3d"),t("./surface"),t("./isosurface"),t("./volume"),t("./mesh3d"),t("./cone"),t("./streamtube"),t("./scattergeo"),t("./choropleth"),t("./scattergl"),t("./splom"),t("./pointcloud"),t("./heatmapgl"),t("./parcoords"),t("./parcats"),t("./scattermapbox"),t("./choroplethmapbox"),t("./densitymapbox"),t("./sankey"),t("./indicator"),t("./table"),t("./carpet"),t("./scattercarpet"),t("./contourcarpet"),t("./ohlc"),t("./candlestick"),t("./scatterpolar"),t("./scatterpolargl"),t("./barpolar"),t("./scattersmith"),t("./aggregate"),t("./filter"),t("./groupby"),t("./sort"),t("./calendars")]),e.exports=n},{"./aggregate":2,"./bar":3,"./barpolar":4,"./box":5,"./calendars":6,"./candlestick":7,"./carpet":8,"./choropleth":9,"./choroplethmapbox":10,"./cone":11,"./contour":12,"./contourcarpet":13,"./core":14,"./densitymapbox":15,"./filter":16,"./funnel":17,"./funnelarea":18,"./groupby":19,"./heatmap":20,"./heatmapgl":21,"./histogram":22,"./histogram2d":23,"./histogram2dcontour":24,"./icicle":25,"./image":26,"./indicator":28,"./isosurface":29,"./mesh3d":30,"./ohlc":31,"./parcats":32,"./parcoords":33,"./pie":34,"./pointcloud":35,"./sankey":36,"./scatter3d":37,"./scattercarpet":38,"./scattergeo":39,"./scattergl":40,"./scattermapbox":41,"./scatterpolar":42,"./scatterpolargl":43,"./scattersmith":44,"./scatterternary":45,"./sort":46,"./splom":47,"./streamtube":48,"./sunburst":49,"./surface":50,"./table":51,"./treemap":52,"./violin":53,"./volume":54,"./waterfall":55}],28:[function(t,e,r){"use strict";e.exports=t("../src/traces/indicator")},{"../src/traces/indicator":855}],29:[function(t,e,r){"use strict";e.exports=t("../src/traces/isosurface")},{"../src/traces/isosurface":861}],30:[function(t,e,r){"use strict";e.exports=t("../src/traces/mesh3d")},{"../src/traces/mesh3d":866}],31:[function(t,e,r){"use strict";e.exports=t("../src/traces/ohlc")},{"../src/traces/ohlc":871}],32:[function(t,e,r){"use strict";e.exports=t("../src/traces/parcats")},{"../src/traces/parcats":880}],33:[function(t,e,r){"use strict";e.exports=t("../src/traces/parcoords")},{"../src/traces/parcoords":891}],34:[function(t,e,r){"use strict";e.exports=t("../src/traces/pie")},{"../src/traces/pie":902}],35:[function(t,e,r){"use strict";e.exports=t("../src/traces/pointcloud")},{"../src/traces/pointcloud":911}],36:[function(t,e,r){"use strict";e.exports=t("../src/traces/sankey")},{"../src/traces/sankey":917}],37:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatter3d")},{"../src/traces/scatter3d":955}],38:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattercarpet")},{"../src/traces/scattercarpet":962}],39:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattergeo")},{"../src/traces/scattergeo":970}],40:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattergl")},{"../src/traces/scattergl":984}],41:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattermapbox")},{"../src/traces/scattermapbox":994}],42:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatterpolar")},{"../src/traces/scatterpolar":1002}],43:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatterpolargl")},{"../src/traces/scatterpolargl":1010}],44:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattersmith")},{"../src/traces/scattersmith":1017}],45:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatterternary")},{"../src/traces/scatterternary":1025}],46:[function(t,e,r){"use strict";e.exports=t("../src/transforms/sort")},{"../src/transforms/sort":1117}],47:[function(t,e,r){"use strict";e.exports=t("../src/traces/splom")},{"../src/traces/splom":1035}],48:[function(t,e,r){"use strict";e.exports=t("../src/traces/streamtube")},{"../src/traces/streamtube":1043}],49:[function(t,e,r){"use strict";e.exports=t("../src/traces/sunburst")},{"../src/traces/sunburst":1051}],50:[function(t,e,r){"use strict";e.exports=t("../src/traces/surface")},{"../src/traces/surface":1060}],51:[function(t,e,r){"use strict";e.exports=t("../src/traces/table")},{"../src/traces/table":1068}],52:[function(t,e,r){"use strict";e.exports=t("../src/traces/treemap")},{"../src/traces/treemap":1079}],53:[function(t,e,r){"use strict";e.exports=t("../src/traces/violin")},{"../src/traces/violin":1092}],54:[function(t,e,r){"use strict";e.exports=t("../src/traces/volume")},{"../src/traces/volume":1100}],55:[function(t,e,r){"use strict";e.exports=t("../src/traces/waterfall")},{"../src/traces/waterfall":1108}],56:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-array"),t("d3-collection"),t("d3-shape"),t("elementary-circuits-directed-graph")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3,null)}(this,(function(t,e,r,n,i){"use strict";function a(t){return t.target.depth}function o(t,e){return t.sourceLinks.length?t.depth:e-1}function s(t){return function(){return t}}i=i&&i.hasOwnProperty("default")?i.default:i;var l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t};function c(t,e){return f(t.source,e.source)||t.index-e.index}function u(t,e){return f(t.target,e.target)||t.index-e.index}function f(t,e){return t.partOfCycle===e.partOfCycle?t.y0-e.y0:"top"===t.circularLinkType||"bottom"===e.circularLinkType?-1:1}function h(t){return t.value}function p(t){return(t.y0+t.y1)/2}function d(t){return p(t.source)}function m(t){return p(t.target)}function g(t){return t.index}function v(t){return t.nodes}function y(t){return t.links}function x(t,e){var r=t.get(e);if(!r)throw new Error("missing: "+e);return r}function b(t,e){return e(t)}function _(t,e,r){var n=0;if(null===r){for(var a=[],o=0;o<t.links.length;o++){var s=t.links[o],l=s.source.index,c=s.target.index;a[l]||(a[l]=[]),a[c]||(a[c]=[]),-1===a[l].indexOf(c)&&a[l].push(c)}var u=i(a);u.sort((function(t,e){return t.length-e.length}));var f={};for(o=0;o<u.length;o++){var h=u[o].slice(-2);f[h[0]]||(f[h[0]]={}),f[h[0]][h[1]]=!0}t.links.forEach((function(t){var e=t.target.index,r=t.source.index;e===r||f[r]&&f[r][e]?(t.circular=!0,t.circularLinkID=n,n+=1):t.circular=!1}))}else t.links.forEach((function(t){t.source[r]<t.target[r]?t.circular=!1:(t.circular=!0,t.circularLinkID=n,n+=1)}))}function w(t,e){var r=0,n=0;t.links.forEach((function(i){i.circular&&(i.source.circularLinkType||i.target.circularLinkType?i.circularLinkType=i.source.circularLinkType?i.source.circularLinkType:i.target.circularLinkType:i.circularLinkType=r<n?"top":"bottom","top"==i.circularLinkType?r+=1:n+=1,t.nodes.forEach((function(t){b(t,e)!=b(i.source,e)&&b(t,e)!=b(i.target,e)||(t.circularLinkType=i.circularLinkType)})))})),t.links.forEach((function(t){t.circular&&(t.source.circularLinkType==t.target.circularLinkType&&(t.circularLinkType=t.source.circularLinkType),q(t,e)&&(t.circularLinkType=t.source.circularLinkType))}))}function T(t){var e=Math.abs(t.y1-t.y0),r=Math.abs(t.target.x0-t.source.x1);return Math.atan(r/e)}function k(t,e){var r=0;t.sourceLinks.forEach((function(t){r=t.circular&&!q(t,e)?r+1:r}));var n=0;return t.targetLinks.forEach((function(t){n=t.circular&&!q(t,e)?n+1:n})),r+n}function A(t){var e=t.source.sourceLinks,r=0;e.forEach((function(t){r=t.circular?r+1:r}));var n=t.target.targetLinks,i=0;return n.forEach((function(t){i=t.circular?i+1:i})),!(r>1||i>1)}function M(t,e,r){return t.sort(E),t.forEach((function(n,i){var a,o,s=0;if(q(n,r)&&A(n))n.circularPathData.verticalBuffer=s+n.width/2;else{for(var l=0;l<i;l++)if(a=t[i],o=t[l],!(a.source.column<o.target.column||a.target.column>o.source.column)){var c=t[l].circularPathData.verticalBuffer+t[l].width/2+e;s=c>s?c:s}n.circularPathData.verticalBuffer=s+n.width/2}})),t}function S(t,r,i,a){var o=e.min(t.links,(function(t){return t.source.y0}));t.links.forEach((function(t){t.circular&&(t.circularPathData={})})),M(t.links.filter((function(t){return"top"==t.circularLinkType})),r,a),M(t.links.filter((function(t){return"bottom"==t.circularLinkType})),r,a),t.links.forEach((function(e){if(e.circular){if(e.circularPathData.arcRadius=e.width+10,e.circularPathData.leftNodeBuffer=5,e.circularPathData.rightNodeBuffer=5,e.circularPathData.sourceWidth=e.source.x1-e.source.x0,e.circularPathData.sourceX=e.source.x0+e.circularPathData.sourceWidth,e.circularPathData.targetX=e.target.x0,e.circularPathData.sourceY=e.y0,e.circularPathData.targetY=e.y1,q(e,a)&&A(e))e.circularPathData.leftSmallArcRadius=10+e.width/2,e.circularPathData.leftLargeArcRadius=10+e.width/2,e.circularPathData.rightSmallArcRadius=10+e.width/2,e.circularPathData.rightLargeArcRadius=10+e.width/2,"bottom"==e.circularLinkType?(e.circularPathData.verticalFullExtent=e.source.y1+25+e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.rightLargeArcRadius):(e.circularPathData.verticalFullExtent=e.source.y0-25-e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.rightLargeArcRadius);else{var s=e.source.column,l=e.circularLinkType,c=t.links.filter((function(t){return t.source.column==s&&t.circularLinkType==l}));"bottom"==e.circularLinkType?c.sort(C):c.sort(L);var u=0;c.forEach((function(t,n){t.circularLinkID==e.circularLinkID&&(e.circularPathData.leftSmallArcRadius=10+e.width/2+u,e.circularPathData.leftLargeArcRadius=10+e.width/2+n*r+u),u+=t.width})),s=e.target.column,c=t.links.filter((function(t){return t.target.column==s&&t.circularLinkType==l})),"bottom"==e.circularLinkType?c.sort(I):c.sort(P),u=0,c.forEach((function(t,n){t.circularLinkID==e.circularLinkID&&(e.circularPathData.rightSmallArcRadius=10+e.width/2+u,e.circularPathData.rightLargeArcRadius=10+e.width/2+n*r+u),u+=t.width})),"bottom"==e.circularLinkType?(e.circularPathData.verticalFullExtent=Math.max(i,e.source.y1,e.target.y1)+25+e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.rightLargeArcRadius):(e.circularPathData.verticalFullExtent=o-25-e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.rightLargeArcRadius)}e.circularPathData.leftInnerExtent=e.circularPathData.sourceX+e.circularPathData.leftNodeBuffer,e.circularPathData.rightInnerExtent=e.circularPathData.targetX-e.circularPathData.rightNodeBuffer,e.circularPathData.leftFullExtent=e.circularPathData.sourceX+e.circularPathData.leftLargeArcRadius+e.circularPathData.leftNodeBuffer,e.circularPathData.rightFullExtent=e.circularPathData.targetX-e.circularPathData.rightLargeArcRadius-e.circularPathData.rightNodeBuffer}if(e.circular)e.path=function(t){var e="";e="top"==t.circularLinkType?"M"+t.circularPathData.sourceX+" "+t.circularPathData.sourceY+" L"+t.circularPathData.leftInnerExtent+" "+t.circularPathData.sourceY+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftSmallArcRadius+" 0 0 0 "+t.circularPathData.leftFullExtent+" "+(t.circularPathData.sourceY-t.circularPathData.leftSmallArcRadius)+" L"+t.circularPathData.leftFullExtent+" "+t.circularPathData.verticalLeftInnerExtent+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftLargeArcRadius+" 0 0 0 "+t.circularPathData.leftInnerExtent+" "+t.circularPathData.verticalFullExtent+" L"+t.circularPathData.rightInnerExtent+" "+t.circularPathData.verticalFullExtent+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightLargeArcRadius+" 0 0 0 "+t.circularPathData.rightFullExtent+" "+t.circularPathData.verticalRightInnerExtent+" L"+t.circularPathData.rightFullExtent+" "+(t.circularPathData.targetY-t.circularPathData.rightSmallArcRadius)+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightSmallArcRadius+" 0 0 0 "+t.circularPathData.rightInnerExtent+" "+t.circularPathData.targetY+" L"+t.circularPathData.targetX+" "+t.circularPathData.targetY:"M"+t.circularPathData.sourceX+" "+t.circularPathData.sourceY+" L"+t.circularPathData.leftInnerExtent+" "+t.circularPathData.sourceY+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftSmallArcRadius+" 0 0 1 "+t.circularPathData.leftFullExtent+" "+(t.circularPathData.sourceY+t.circularPathData.leftSmallArcRadius)+" L"+t.circularPathData.leftFullExtent+" "+t.circularPathData.verticalLeftInnerExtent+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftLargeArcRadius+" 0 0 1 "+t.circularPathData.leftInnerExtent+" "+t.circularPathData.verticalFullExtent+" L"+t.circularPathData.rightInnerExtent+" "+t.circularPathData.verticalFullExtent+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightLargeArcRadius+" 0 0 1 "+t.circularPathData.rightFullExtent+" "+t.circularPathData.verticalRightInnerExtent+" L"+t.circularPathData.rightFullExtent+" "+(t.circularPathData.targetY+t.circularPathData.rightSmallArcRadius)+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightSmallArcRadius+" 0 0 1 "+t.circularPathData.rightInnerExtent+" "+t.circularPathData.targetY+" L"+t.circularPathData.targetX+" "+t.circularPathData.targetY;return e}(e);else{var f=n.linkHorizontal().source((function(t){return[t.source.x0+(t.source.x1-t.source.x0),t.y0]})).target((function(t){return[t.target.x0,t.y1]}));e.path=f(e)}}))}function E(t,e){return O(t)==O(e)?"bottom"==t.circularLinkType?C(t,e):L(t,e):O(e)-O(t)}function L(t,e){return t.y0-e.y0}function C(t,e){return e.y0-t.y0}function P(t,e){return t.y1-e.y1}function I(t,e){return e.y1-t.y1}function O(t){return t.target.column-t.source.column}function z(t){return t.target.x0-t.source.x1}function D(t,e){var r=T(t),n=z(e)/Math.tan(r);return"up"==H(t)?t.y1+n:t.y1-n}function R(t,e){var r=T(t),n=z(e)/Math.tan(r);return"up"==H(t)?t.y1-n:t.y1+n}function F(t,e,r,n){t.links.forEach((function(i){if(!i.circular&&i.target.column-i.source.column>1){var a=i.source.column+1,o=i.target.column-1,s=1,l=o-a+1;for(s=1;a<=o;a++,s++)t.nodes.forEach((function(o){if(o.column==a){var c,u=s/(l+1),f=Math.pow(1-u,3),h=3*u*Math.pow(1-u,2),p=3*Math.pow(u,2)*(1-u),d=Math.pow(u,3),m=f*i.y0+h*i.y0+p*i.y1+d*i.y1,g=m-i.width/2,v=m+i.width/2;g>o.y0&&g<o.y1?(c=o.y1-g+10,c="bottom"==o.circularLinkType?c:-c,o=N(o,c,e,r),t.nodes.forEach((function(t){b(t,n)!=b(o,n)&&t.column==o.column&&B(o,t)&&N(t,c,e,r)}))):(v>o.y0&&v<o.y1||g<o.y0&&v>o.y1)&&(c=v-o.y0+10,o=N(o,c,e,r),t.nodes.forEach((function(t){b(t,n)!=b(o,n)&&t.column==o.column&&t.y0<o.y1&&t.y1>o.y1&&N(t,c,e,r)})))}}))}}))}function B(t,e){return t.y0>e.y0&&t.y0<e.y1||(t.y1>e.y0&&t.y1<e.y1||t.y0<e.y0&&t.y1>e.y1)}function N(t,e,r,n){return t.y0+e>=r&&t.y1+e<=n&&(t.y0=t.y0+e,t.y1=t.y1+e,t.targetLinks.forEach((function(t){t.y1=t.y1+e})),t.sourceLinks.forEach((function(t){t.y0=t.y0+e}))),t}function j(t,e,r,n){t.nodes.forEach((function(i){n&&i.y+(i.y1-i.y0)>e&&(i.y=i.y-(i.y+(i.y1-i.y0)-e));var a=t.links.filter((function(t){return b(t.source,r)==b(i,r)})),o=a.length;o>1&&a.sort((function(t,e){if(!t.circular&&!e.circular){if(t.target.column==e.target.column)return t.y1-e.y1;if(!V(t,e))return t.y1-e.y1;if(t.target.column>e.target.column){var r=R(e,t);return t.y1-r}if(e.target.column>t.target.column)return R(t,e)-e.y1}return t.circular&&!e.circular?"top"==t.circularLinkType?-1:1:e.circular&&!t.circular?"top"==e.circularLinkType?1:-1:t.circular&&e.circular?t.circularLinkType===e.circularLinkType&&"top"==t.circularLinkType?t.target.column===e.target.column?t.target.y1-e.target.y1:e.target.column-t.target.column:t.circularLinkType===e.circularLinkType&&"bottom"==t.circularLinkType?t.target.column===e.target.column?e.target.y1-t.target.y1:t.target.column-e.target.column:"top"==t.circularLinkType?-1:1:void 0}));var s=i.y0;a.forEach((function(t){t.y0=s+t.width/2,s+=t.width})),a.forEach((function(t,e){if("bottom"==t.circularLinkType){for(var r=e+1,n=0;r<o;r++)n+=a[r].width;t.y0=i.y1-n-t.width/2}}))}))}function U(t,e,r){t.nodes.forEach((function(e){var n=t.links.filter((function(t){return b(t.target,r)==b(e,r)})),i=n.length;i>1&&n.sort((function(t,e){if(!t.circular&&!e.circular){if(t.source.column==e.source.column)return t.y0-e.y0;if(!V(t,e))return t.y0-e.y0;if(e.source.column<t.source.column){var r=D(e,t);return t.y0-r}if(t.source.column<e.source.column)return D(t,e)-e.y0}return t.circular&&!e.circular?"top"==t.circularLinkType?-1:1:e.circular&&!t.circular?"top"==e.circularLinkType?1:-1:t.circular&&e.circular?t.circularLinkType===e.circularLinkType&&"top"==t.circularLinkType?t.source.column===e.source.column?t.source.y1-e.source.y1:t.source.column-e.source.column:t.circularLinkType===e.circularLinkType&&"bottom"==t.circularLinkType?t.source.column===e.source.column?t.source.y1-e.source.y1:e.source.column-t.source.column:"top"==t.circularLinkType?-1:1:void 0}));var a=e.y0;n.forEach((function(t){t.y1=a+t.width/2,a+=t.width})),n.forEach((function(t,r){if("bottom"==t.circularLinkType){for(var a=r+1,o=0;a<i;a++)o+=n[a].width;t.y1=e.y1-o-t.width/2}}))}))}function V(t,e){return H(t)==H(e)}function H(t){return t.y0-t.y1>0?"up":"down"}function q(t,e){return b(t.source,e)==b(t.target,e)}function G(t,r,n){var i=t.nodes,a=t.links,o=!1,s=!1;if(a.forEach((function(t){"top"==t.circularLinkType?o=!0:"bottom"==t.circularLinkType&&(s=!0)})),0==o||0==s){var l=e.min(i,(function(t){return t.y0})),c=(n-r)/(e.max(i,(function(t){return t.y1}))-l);i.forEach((function(t){var e=(t.y1-t.y0)*c;t.y0=(t.y0-l)*c,t.y1=t.y0+e})),a.forEach((function(t){t.y0=(t.y0-l)*c,t.y1=(t.y1-l)*c,t.width=t.width*c}))}}t.sankeyCircular=function(){var t,n,i=0,a=0,b=1,T=1,A=24,M=g,E=o,L=v,C=y,P=32,I=2,O=null;function z(){var t={nodes:L.apply(null,arguments),links:C.apply(null,arguments)};D(t),_(t,M,O),R(t),B(t),w(t,M),N(t,P,M),V(t);for(var e=4,r=0;r<e;r++)j(t,T,M),U(t,T,M),F(t,a,T,M),j(t,T,M),U(t,T,M);return G(t,a,T),S(t,I,T,M),t}function D(t){t.nodes.forEach((function(t,e){t.index=e,t.sourceLinks=[],t.targetLinks=[]}));var e=r.map(t.nodes,M);return t.links.forEach((function(t,r){t.index=r;var n=t.source,i=t.target;"object"!==(void 0===n?"undefined":l(n))&&(n=t.source=x(e,n)),"object"!==(void 0===i?"undefined":l(i))&&(i=t.target=x(e,i)),n.sourceLinks.push(t),i.targetLinks.push(t)})),t}function R(t){t.nodes.forEach((function(t){t.partOfCycle=!1,t.value=Math.max(e.sum(t.sourceLinks,h),e.sum(t.targetLinks,h)),t.sourceLinks.forEach((function(e){e.circular&&(t.partOfCycle=!0,t.circularLinkType=e.circularLinkType)})),t.targetLinks.forEach((function(e){e.circular&&(t.partOfCycle=!0,t.circularLinkType=e.circularLinkType)}))}))}function B(t){var e,r,n;for(e=t.nodes,r=[],n=0;e.length;++n,e=r,r=[])e.forEach((function(t){t.depth=n,t.sourceLinks.forEach((function(t){r.indexOf(t.target)<0&&!t.circular&&r.push(t.target)}))}));for(e=t.nodes,r=[],n=0;e.length;++n,e=r,r=[])e.forEach((function(t){t.height=n,t.targetLinks.forEach((function(t){r.indexOf(t.source)<0&&!t.circular&&r.push(t.source)}))}));t.nodes.forEach((function(t){t.column=Math.floor(E.call(null,t,n))}))}function N(o,s,l){var c=r.nest().key((function(t){return t.column})).sortKeys(e.ascending).entries(o.nodes).map((function(t){return t.values}));!function(r){if(n){var s=1/0;c.forEach((function(t){var e=T*n/(t.length+1);s=e<s?e:s})),t=s}var l=e.min(c,(function(r){return(T-a-(r.length-1)*t)/e.sum(r,h)}));l*=.3,o.links.forEach((function(t){t.width=t.value*l}));var u=function(t){var r=0,n=0,i=0,a=0,o=e.max(t.nodes,(function(t){return t.column}));return t.links.forEach((function(t){t.circular&&("top"==t.circularLinkType?r+=t.width:n+=t.width,0==t.target.column&&(a+=t.width),t.source.column==o&&(i+=t.width))})),{top:r=r>0?r+25+10:r,bottom:n=n>0?n+25+10:n,left:a=a>0?a+25+10:a,right:i=i>0?i+25+10:i}}(o),f=function(t,r){var n=e.max(t.nodes,(function(t){return t.column})),o=b-i,s=T-a,l=o/(o+r.right+r.left),c=s/(s+r.top+r.bottom);return i=i*l+r.left,b=0==r.right?b:b*l,a=a*c+r.top,T*=c,t.nodes.forEach((function(t){t.x0=i+t.column*((b-i-A)/n),t.x1=t.x0+A})),c}(o,u);l*=f,o.links.forEach((function(t){t.width=t.value*l})),c.forEach((function(t){var e=t.length;t.forEach((function(t,n){t.depth==c.length-1&&1==e||0==t.depth&&1==e?(t.y0=T/2-t.value*l,t.y1=t.y0+t.value*l):t.partOfCycle?0==k(t,r)?(t.y0=T/2+n,t.y1=t.y0+t.value*l):"top"==t.circularLinkType?(t.y0=a+n,t.y1=t.y0+t.value*l):(t.y0=T-t.value*l-n,t.y1=t.y0+t.value*l):0==u.top||0==u.bottom?(t.y0=(T-a)/e*n,t.y1=t.y0+t.value*l):(t.y0=(T-a)/2-e/2+n,t.y1=t.y0+t.value*l)}))}))}(l),y();for(var u=1,g=s;g>0;--g)v(u*=.99,l),y();function v(t,r){var n=c.length;c.forEach((function(i){var a=i.length,o=i[0].depth;i.forEach((function(i){var s;if(i.sourceLinks.length||i.targetLinks.length)if(i.partOfCycle&&k(i,r)>0);else if(0==o&&1==a)s=i.y1-i.y0,i.y0=T/2-s/2,i.y1=T/2+s/2;else if(o==n-1&&1==a)s=i.y1-i.y0,i.y0=T/2-s/2,i.y1=T/2+s/2;else{var l=e.mean(i.sourceLinks,m),c=e.mean(i.targetLinks,d),u=((l&&c?(l+c)/2:l||c)-p(i))*t;i.y0+=u,i.y1+=u}}))}))}function y(){c.forEach((function(e){var r,n,i,o=a,s=e.length;for(e.sort(f),i=0;i<s;++i)(n=o-(r=e[i]).y0)>0&&(r.y0+=n,r.y1+=n),o=r.y1+t;if((n=o-t-T)>0)for(o=r.y0-=n,r.y1-=n,i=s-2;i>=0;--i)(n=(r=e[i]).y1+t-o)>0&&(r.y0-=n,r.y1-=n),o=r.y0}))}}function V(t){t.nodes.forEach((function(t){t.sourceLinks.sort(u),t.targetLinks.sort(c)})),t.nodes.forEach((function(t){var e=t.y0,r=e,n=t.y1,i=n;t.sourceLinks.forEach((function(t){t.circular?(t.y0=n-t.width/2,n-=t.width):(t.y0=e+t.width/2,e+=t.width)})),t.targetLinks.forEach((function(t){t.circular?(t.y1=i-t.width/2,i-=t.width):(t.y1=r+t.width/2,r+=t.width)}))}))}return z.nodeId=function(t){return arguments.length?(M="function"==typeof t?t:s(t),z):M},z.nodeAlign=function(t){return arguments.length?(E="function"==typeof t?t:s(t),z):E},z.nodeWidth=function(t){return arguments.length?(A=+t,z):A},z.nodePadding=function(e){return arguments.length?(t=+e,z):t},z.nodes=function(t){return arguments.length?(L="function"==typeof t?t:s(t),z):L},z.links=function(t){return arguments.length?(C="function"==typeof t?t:s(t),z):C},z.size=function(t){return arguments.length?(i=a=0,b=+t[0],T=+t[1],z):[b-i,T-a]},z.extent=function(t){return arguments.length?(i=+t[0][0],b=+t[1][0],a=+t[0][1],T=+t[1][1],z):[[i,a],[b,T]]},z.iterations=function(t){return arguments.length?(P=+t,z):P},z.circularLinkGap=function(t){return arguments.length?(I=+t,z):I},z.nodePaddingRatio=function(t){return arguments.length?(n=+t,z):n},z.sortNodes=function(t){return arguments.length?(O=t,z):O},z.update=function(t){return w(t,M),V(t),t.links.forEach((function(t){t.circular&&(t.circularLinkType=t.y0+t.y1<T?"top":"bottom",t.source.circularLinkType=t.circularLinkType,t.target.circularLinkType=t.circularLinkType)})),j(t,T,M,!1),U(t,T,M),S(t,I,T,M),t},z},t.sankeyCenter=function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?e.min(t.sourceLinks,a)-1:0},t.sankeyLeft=function(t){return t.depth},t.sankeyRight=function(t,e){return e-1-t.height},t.sankeyJustify=o,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-array":102,"d3-collection":103,"d3-shape":114,"elementary-circuits-directed-graph":124}],57:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-array"),t("d3-collection"),t("d3-shape")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3)}(this,(function(t,e,r,n){"use strict";function i(t){return t.target.depth}function a(t,e){return t.sourceLinks.length?t.depth:e-1}function o(t){return function(){return t}}function s(t,e){return c(t.source,e.source)||t.index-e.index}function l(t,e){return c(t.target,e.target)||t.index-e.index}function c(t,e){return t.y0-e.y0}function u(t){return t.value}function f(t){return(t.y0+t.y1)/2}function h(t){return f(t.source)*t.value}function p(t){return f(t.target)*t.value}function d(t){return t.index}function m(t){return t.nodes}function g(t){return t.links}function v(t,e){var r=t.get(e);if(!r)throw new Error("missing: "+e);return r}function y(t){return[t.source.x1,t.y0]}function x(t){return[t.target.x0,t.y1]}t.sankey=function(){var t=0,n=0,i=1,y=1,x=24,b=8,_=d,w=a,T=m,k=g,A=32;function M(){var t={nodes:T.apply(null,arguments),links:k.apply(null,arguments)};return S(t),E(t),L(t),C(t),P(t),t}function S(t){t.nodes.forEach((function(t,e){t.index=e,t.sourceLinks=[],t.targetLinks=[]}));var e=r.map(t.nodes,_);t.links.forEach((function(t,r){t.index=r;var n=t.source,i=t.target;"object"!=typeof n&&(n=t.source=v(e,n)),"object"!=typeof i&&(i=t.target=v(e,i)),n.sourceLinks.push(t),i.targetLinks.push(t)}))}function E(t){t.nodes.forEach((function(t){t.value=Math.max(e.sum(t.sourceLinks,u),e.sum(t.targetLinks,u))}))}function L(e){var r,n,a;for(r=e.nodes,n=[],a=0;r.length;++a,r=n,n=[])r.forEach((function(t){t.depth=a,t.sourceLinks.forEach((function(t){n.indexOf(t.target)<0&&n.push(t.target)}))}));for(r=e.nodes,n=[],a=0;r.length;++a,r=n,n=[])r.forEach((function(t){t.height=a,t.targetLinks.forEach((function(t){n.indexOf(t.source)<0&&n.push(t.source)}))}));var o=(i-t-x)/(a-1);e.nodes.forEach((function(e){e.x1=(e.x0=t+Math.max(0,Math.min(a-1,Math.floor(w.call(null,e,a))))*o)+x}))}function C(t){var i=r.nest().key((function(t){return t.x0})).sortKeys(e.ascending).entries(t.nodes).map((function(t){return t.values}));!function(){var r=e.max(i,(function(t){return t.length})),a=2/3*(y-n)/(r-1);b>a&&(b=a);var o=e.min(i,(function(t){return(y-n-(t.length-1)*b)/e.sum(t,u)}));i.forEach((function(t){t.forEach((function(t,e){t.y1=(t.y0=e)+t.value*o}))})),t.links.forEach((function(t){t.width=t.value*o}))}(),d();for(var a=1,o=A;o>0;--o)l(a*=.99),d(),s(a),d();function s(t){i.forEach((function(r){r.forEach((function(r){if(r.targetLinks.length){var n=(e.sum(r.targetLinks,h)/e.sum(r.targetLinks,u)-f(r))*t;r.y0+=n,r.y1+=n}}))}))}function l(t){i.slice().reverse().forEach((function(r){r.forEach((function(r){if(r.sourceLinks.length){var n=(e.sum(r.sourceLinks,p)/e.sum(r.sourceLinks,u)-f(r))*t;r.y0+=n,r.y1+=n}}))}))}function d(){i.forEach((function(t){var e,r,i,a=n,o=t.length;for(t.sort(c),i=0;i<o;++i)(r=a-(e=t[i]).y0)>0&&(e.y0+=r,e.y1+=r),a=e.y1+b;if((r=a-b-y)>0)for(a=e.y0-=r,e.y1-=r,i=o-2;i>=0;--i)(r=(e=t[i]).y1+b-a)>0&&(e.y0-=r,e.y1-=r),a=e.y0}))}}function P(t){t.nodes.forEach((function(t){t.sourceLinks.sort(l),t.targetLinks.sort(s)})),t.nodes.forEach((function(t){var e=t.y0,r=e;t.sourceLinks.forEach((function(t){t.y0=e+t.width/2,e+=t.width})),t.targetLinks.forEach((function(t){t.y1=r+t.width/2,r+=t.width}))}))}return M.update=function(t){return P(t),t},M.nodeId=function(t){return arguments.length?(_="function"==typeof t?t:o(t),M):_},M.nodeAlign=function(t){return arguments.length?(w="function"==typeof t?t:o(t),M):w},M.nodeWidth=function(t){return arguments.length?(x=+t,M):x},M.nodePadding=function(t){return arguments.length?(b=+t,M):b},M.nodes=function(t){return arguments.length?(T="function"==typeof t?t:o(t),M):T},M.links=function(t){return arguments.length?(k="function"==typeof t?t:o(t),M):k},M.size=function(e){return arguments.length?(t=n=0,i=+e[0],y=+e[1],M):[i-t,y-n]},M.extent=function(e){return arguments.length?(t=+e[0][0],i=+e[1][0],n=+e[0][1],y=+e[1][1],M):[[t,n],[i,y]]},M.iterations=function(t){return arguments.length?(A=+t,M):A},M},t.sankeyCenter=function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?e.min(t.sourceLinks,i)-1:0},t.sankeyLeft=function(t){return t.depth},t.sankeyRight=function(t,e){return e-1-t.height},t.sankeyJustify=a,t.sankeyLinkHorizontal=function(){return n.linkHorizontal().source(y).target(x)},Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-array":102,"d3-collection":103,"d3-shape":114}],58:[function(t,e,r){(function(){var t={version:"3.8.0"},r=[].slice,n=function(t){return r.call(t)},i=self.document;function a(t){return t&&(t.ownerDocument||t.document||t).documentElement}function o(t){return t&&(t.ownerDocument&&t.ownerDocument.defaultView||t.document&&t||t.defaultView)}if(i)try{n(i.documentElement.childNodes)[0].nodeType}catch(t){n=function(t){for(var e=t.length,r=new Array(e);e--;)r[e]=t[e];return r}}if(Date.now||(Date.now=function(){return+new Date}),i)try{i.createElement("DIV").style.setProperty("opacity",0,"")}catch(t){var s=this.Element.prototype,l=s.setAttribute,c=s.setAttributeNS,u=this.CSSStyleDeclaration.prototype,f=u.setProperty;s.setAttribute=function(t,e){l.call(this,t,e+"")},s.setAttributeNS=function(t,e,r){c.call(this,t,e,r+"")},u.setProperty=function(t,e,r){f.call(this,t,e+"",r)}}function h(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}function p(t){return null===t?NaN:+t}function d(t){return!isNaN(t)}function m(t){return{left:function(e,r,n,i){for(arguments.length<3&&(n=0),arguments.length<4&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)<0?n=a+1:i=a}return n},right:function(e,r,n,i){for(arguments.length<3&&(n=0),arguments.length<4&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)>0?i=a:n=a+1}return n}}}t.ascending=h,t.descending=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN},t.min=function(t,e){var r,n,i=-1,a=t.length;if(1===arguments.length){for(;++i<a;)if(null!=(n=t[i])&&n>=n){r=n;break}for(;++i<a;)null!=(n=t[i])&&r>n&&(r=n)}else{for(;++i<a;)if(null!=(n=e.call(t,t[i],i))&&n>=n){r=n;break}for(;++i<a;)null!=(n=e.call(t,t[i],i))&&r>n&&(r=n)}return r},t.max=function(t,e){var r,n,i=-1,a=t.length;if(1===arguments.length){for(;++i<a;)if(null!=(n=t[i])&&n>=n){r=n;break}for(;++i<a;)null!=(n=t[i])&&n>r&&(r=n)}else{for(;++i<a;)if(null!=(n=e.call(t,t[i],i))&&n>=n){r=n;break}for(;++i<a;)null!=(n=e.call(t,t[i],i))&&n>r&&(r=n)}return r},t.extent=function(t,e){var r,n,i,a=-1,o=t.length;if(1===arguments.length){for(;++a<o;)if(null!=(n=t[a])&&n>=n){r=i=n;break}for(;++a<o;)null!=(n=t[a])&&(r>n&&(r=n),i<n&&(i=n))}else{for(;++a<o;)if(null!=(n=e.call(t,t[a],a))&&n>=n){r=i=n;break}for(;++a<o;)null!=(n=e.call(t,t[a],a))&&(r>n&&(r=n),i<n&&(i=n))}return[r,i]},t.sum=function(t,e){var r,n=0,i=t.length,a=-1;if(1===arguments.length)for(;++a<i;)d(r=+t[a])&&(n+=r);else for(;++a<i;)d(r=+e.call(t,t[a],a))&&(n+=r);return n},t.mean=function(t,e){var r,n=0,i=t.length,a=-1,o=i;if(1===arguments.length)for(;++a<i;)d(r=p(t[a]))?n+=r:--o;else for(;++a<i;)d(r=p(e.call(t,t[a],a)))?n+=r:--o;if(o)return n/o},t.quantile=function(t,e){var r=(t.length-1)*e+1,n=Math.floor(r),i=+t[n-1],a=r-n;return a?i+a*(t[n]-i):i},t.median=function(e,r){var n,i=[],a=e.length,o=-1;if(1===arguments.length)for(;++o<a;)d(n=p(e[o]))&&i.push(n);else for(;++o<a;)d(n=p(r.call(e,e[o],o)))&&i.push(n);if(i.length)return t.quantile(i.sort(h),.5)},t.variance=function(t,e){var r,n,i=t.length,a=0,o=0,s=-1,l=0;if(1===arguments.length)for(;++s<i;)d(r=p(t[s]))&&(o+=(n=r-a)*(r-(a+=n/++l)));else for(;++s<i;)d(r=p(e.call(t,t[s],s)))&&(o+=(n=r-a)*(r-(a+=n/++l)));if(l>1)return o/(l-1)},t.deviation=function(){var e=t.variance.apply(this,arguments);return e?Math.sqrt(e):e};var g=m(h);function v(t){return t.length}t.bisectLeft=g.left,t.bisect=t.bisectRight=g.right,t.bisector=function(t){return m(1===t.length?function(e,r){return h(t(e),r)}:t)},t.shuffle=function(t,e,r){(a=arguments.length)<3&&(r=t.length,a<2&&(e=0));for(var n,i,a=r-e;a;)i=Math.random()*a--|0,n=t[a+e],t[a+e]=t[i+e],t[i+e]=n;return t},t.permute=function(t,e){for(var r=e.length,n=new Array(r);r--;)n[r]=t[e[r]];return n},t.pairs=function(t){for(var e=0,r=t.length-1,n=t[0],i=new Array(r<0?0:r);e<r;)i[e]=[n,n=t[++e]];return i},t.transpose=function(e){if(!(a=e.length))return[];for(var r=-1,n=t.min(e,v),i=new Array(n);++r<n;)for(var a,o=-1,s=i[r]=new Array(a);++o<a;)s[o]=e[o][r];return i},t.zip=function(){return t.transpose(arguments)},t.keys=function(t){var e=[];for(var r in t)e.push(r);return e},t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.entries=function(t){var e=[];for(var r in t)e.push({key:r,value:t[r]});return e},t.merge=function(t){for(var e,r,n,i=t.length,a=-1,o=0;++a<i;)o+=t[a].length;for(r=new Array(o);--i>=0;)for(e=(n=t[i]).length;--e>=0;)r[--o]=n[e];return r};var y=Math.abs;function x(t){for(var e=1;t*e%1;)e*=10;return e}function b(t,e){for(var r in e)Object.defineProperty(t.prototype,r,{value:e[r],enumerable:!1})}function _(){this._=Object.create(null)}t.range=function(t,e,r){if(arguments.length<3&&(r=1,arguments.length<2&&(e=t,t=0)),(e-t)/r==1/0)throw new Error("infinite range");var n,i=[],a=x(y(r)),o=-1;if(t*=a,e*=a,(r*=a)<0)for(;(n=t+r*++o)>e;)i.push(n/a);else for(;(n=t+r*++o)<e;)i.push(n/a);return i},t.map=function(t,e){var r=new _;if(t instanceof _)t.forEach((function(t,e){r.set(t,e)}));else if(Array.isArray(t)){var n,i=-1,a=t.length;if(1===arguments.length)for(;++i<a;)r.set(i,t[i]);else for(;++i<a;)r.set(e.call(t,n=t[i],i),n)}else for(var o in t)r.set(o,t[o]);return r};function w(t){return"__proto__"==(t+="")||"\0"===t[0]?"\0"+t:t}function T(t){return"\0"===(t+="")[0]?t.slice(1):t}function k(t){return w(t)in this._}function A(t){return(t=w(t))in this._&&delete this._[t]}function M(){var t=[];for(var e in this._)t.push(T(e));return t}function S(){var t=0;for(var e in this._)++t;return t}function E(){for(var t in this._)return!1;return!0}function L(){this._=Object.create(null)}function C(t){return t}function P(t,e,r){return function(){var n=r.apply(e,arguments);return n===e?t:n}}function I(t,e){if(e in t)return e;e=e.charAt(0).toUpperCase()+e.slice(1);for(var r=0,n=O.length;r<n;++r){var i=O[r]+e;if(i in t)return i}}b(_,{has:k,get:function(t){return this._[w(t)]},set:function(t,e){return this._[w(t)]=e},remove:A,keys:M,values:function(){var t=[];for(var e in this._)t.push(this._[e]);return t},entries:function(){var t=[];for(var e in this._)t.push({key:T(e),value:this._[e]});return t},size:S,empty:E,forEach:function(t){for(var e in this._)t.call(this,T(e),this._[e])}}),t.nest=function(){var e,r,n={},i=[],a=[];function o(t,a,s){if(s>=i.length)return r?r.call(n,a):e?a.sort(e):a;for(var l,c,u,f,h=-1,p=a.length,d=i[s++],m=new _;++h<p;)(f=m.get(l=d(c=a[h])))?f.push(c):m.set(l,[c]);return t?(c=t(),u=function(e,r){c.set(e,o(t,r,s))}):(c={},u=function(e,r){c[e]=o(t,r,s)}),m.forEach(u),c}return n.map=function(t,e){return o(e,t,0)},n.entries=function(e){return function t(e,r){if(r>=i.length)return e;var n=[],o=a[r++];return e.forEach((function(e,i){n.push({key:e,values:t(i,r)})})),o?n.sort((function(t,e){return o(t.key,e.key)})):n}(o(t.map,e,0),0)},n.key=function(t){return i.push(t),n},n.sortKeys=function(t){return a[i.length-1]=t,n},n.sortValues=function(t){return e=t,n},n.rollup=function(t){return r=t,n},n},t.set=function(t){var e=new L;if(t)for(var r=0,n=t.length;r<n;++r)e.add(t[r]);return e},b(L,{has:k,add:function(t){return this._[w(t+="")]=!0,t},remove:A,values:M,size:S,empty:E,forEach:function(t){for(var e in this._)t.call(this,T(e))}}),t.behavior={},t.rebind=function(t,e){for(var r,n=1,i=arguments.length;++n<i;)t[r=arguments[n]]=P(t,e,e[r]);return t};var O=["webkit","ms","moz","Moz","o","O"];function z(){}function D(){}function R(t){var e=[],r=new _;function n(){for(var r,n=e,i=-1,a=n.length;++i<a;)(r=n[i].on)&&r.apply(this,arguments);return t}return n.on=function(n,i){var a,o=r.get(n);return arguments.length<2?o&&o.on:(o&&(o.on=null,e=e.slice(0,a=e.indexOf(o)).concat(e.slice(a+1)),r.remove(n)),i&&e.push(r.set(n,{on:i})),t)},n}function F(){t.event.preventDefault()}function B(){for(var e,r=t.event;e=r.sourceEvent;)r=e;return r}function N(e){for(var r=new D,n=0,i=arguments.length;++n<i;)r[arguments[n]]=R(r);return r.of=function(n,i){return function(a){try{var o=a.sourceEvent=t.event;a.target=e,t.event=a,r[a.type].apply(n,i)}finally{t.event=o}}},r}t.dispatch=function(){for(var t=new D,e=-1,r=arguments.length;++e<r;)t[arguments[e]]=R(t);return t},D.prototype.on=function(t,e){var r=t.indexOf("."),n="";if(r>=0&&(n=t.slice(r+1),t=t.slice(0,r)),t)return arguments.length<2?this[t].on(n):this[t].on(n,e);if(2===arguments.length){if(null==e)for(t in this)this.hasOwnProperty(t)&&this[t].on(n,null);return this}},t.event=null,t.requote=function(t){return t.replace(j,"\\$&")};var j=/[\\\^\$\*\+\?\|\[\]\(\)\.\{\}]/g,U={}.__proto__?function(t,e){t.__proto__=e}:function(t,e){for(var r in e)t[r]=e[r]};function V(t){return U(t,Y),t}var H=function(t,e){return e.querySelector(t)},q=function(t,e){return e.querySelectorAll(t)},G=function(t,e){var r=t.matches||t[I(t,"matchesSelector")];return(G=function(t,e){return r.call(t,e)})(t,e)};"function"==typeof Sizzle&&(H=function(t,e){return Sizzle(t,e)[0]||null},q=Sizzle,G=Sizzle.matchesSelector),t.selection=function(){return t.select(i.documentElement)};var Y=t.selection.prototype=[];function W(t){return"function"==typeof t?t:function(){return H(t,this)}}function X(t){return"function"==typeof t?t:function(){return q(t,this)}}Y.select=function(t){var e,r,n,i,a=[];t=W(t);for(var o=-1,s=this.length;++o<s;){a.push(e=[]),e.parentNode=(n=this[o]).parentNode;for(var l=-1,c=n.length;++l<c;)(i=n[l])?(e.push(r=t.call(i,i.__data__,l,o)),r&&"__data__"in i&&(r.__data__=i.__data__)):e.push(null)}return V(a)},Y.selectAll=function(t){var e,r,i=[];t=X(t);for(var a=-1,o=this.length;++a<o;)for(var s=this[a],l=-1,c=s.length;++l<c;)(r=s[l])&&(i.push(e=n(t.call(r,r.__data__,l,a))),e.parentNode=r);return V(i)};var Z="http://www.w3.org/1999/xhtml",J={svg:"http://www.w3.org/2000/svg",xhtml:Z,xlink:"http://www.w3.org/1999/xlink",xml:"http://www.w3.org/XML/1998/namespace",xmlns:"http://www.w3.org/2000/xmlns/"};function K(e,r){return e=t.ns.qualify(e),null==r?e.local?function(){this.removeAttributeNS(e.space,e.local)}:function(){this.removeAttribute(e)}:"function"==typeof r?e.local?function(){var t=r.apply(this,arguments);null==t?this.removeAttributeNS(e.space,e.local):this.setAttributeNS(e.space,e.local,t)}:function(){var t=r.apply(this,arguments);null==t?this.removeAttribute(e):this.setAttribute(e,t)}:e.local?function(){this.setAttributeNS(e.space,e.local,r)}:function(){this.setAttribute(e,r)}}function Q(t){return t.trim().replace(/\s+/g," ")}function $(e){return new RegExp("(?:^|\\s+)"+t.requote(e)+"(?:\\s+|$)","g")}function tt(t){return(t+"").trim().split(/^|\s+/)}function et(t,e){var r=(t=tt(t).map(rt)).length;return"function"==typeof e?function(){for(var n=-1,i=e.apply(this,arguments);++n<r;)t[n](this,i)}:function(){for(var n=-1;++n<r;)t[n](this,e)}}function rt(t){var e=$(t);return function(r,n){if(i=r.classList)return n?i.add(t):i.remove(t);var i=r.getAttribute("class")||"";n?(e.lastIndex=0,e.test(i)||r.setAttribute("class",Q(i+" "+t))):r.setAttribute("class",Q(i.replace(e," ")))}}function nt(t,e,r){return null==e?function(){this.style.removeProperty(t)}:"function"==typeof e?function(){var n=e.apply(this,arguments);null==n?this.style.removeProperty(t):this.style.setProperty(t,n,r)}:function(){this.style.setProperty(t,e,r)}}function it(t,e){return null==e?function(){delete this[t]}:"function"==typeof e?function(){var r=e.apply(this,arguments);null==r?delete this[t]:this[t]=r}:function(){this[t]=e}}function at(e){return"function"==typeof e?e:(e=t.ns.qualify(e)).local?function(){return this.ownerDocument.createElementNS(e.space,e.local)}:function(){var t=this.ownerDocument,r=this.namespaceURI;return r===Z&&t.documentElement.namespaceURI===Z?t.createElement(e):t.createElementNS(r,e)}}function ot(){var t=this.parentNode;t&&t.removeChild(this)}function st(t){return{__data__:t}}function lt(t){return function(){return G(this,t)}}function ct(t){return arguments.length||(t=h),function(e,r){return e&&r?t(e.__data__,r.__data__):!e-!r}}function ut(t,e){for(var r=0,n=t.length;r<n;r++)for(var i,a=t[r],o=0,s=a.length;o<s;o++)(i=a[o])&&e(i,o,r);return t}function ft(t){return U(t,ht),t}t.ns={prefix:J,qualify:function(t){var e=t.indexOf(":"),r=t;return e>=0&&"xmlns"!==(r=t.slice(0,e))&&(t=t.slice(e+1)),J.hasOwnProperty(r)?{space:J[r],local:t}:t}},Y.attr=function(e,r){if(arguments.length<2){if("string"==typeof e){var n=this.node();return(e=t.ns.qualify(e)).local?n.getAttributeNS(e.space,e.local):n.getAttribute(e)}for(r in e)this.each(K(r,e[r]));return this}return this.each(K(e,r))},Y.classed=function(t,e){if(arguments.length<2){if("string"==typeof t){var r=this.node(),n=(t=tt(t)).length,i=-1;if(e=r.classList){for(;++i<n;)if(!e.contains(t[i]))return!1}else for(e=r.getAttribute("class");++i<n;)if(!$(t[i]).test(e))return!1;return!0}for(e in t)this.each(et(e,t[e]));return this}return this.each(et(t,e))},Y.style=function(t,e,r){var n=arguments.length;if(n<3){if("string"!=typeof t){for(r in n<2&&(e=""),t)this.each(nt(r,t[r],e));return this}if(n<2){var i=this.node();return o(i).getComputedStyle(i,null).getPropertyValue(t)}r=""}return this.each(nt(t,e,r))},Y.property=function(t,e){if(arguments.length<2){if("string"==typeof t)return this.node()[t];for(e in t)this.each(it(e,t[e]));return this}return this.each(it(t,e))},Y.text=function(t){return arguments.length?this.each("function"==typeof t?function(){var e=t.apply(this,arguments);this.textContent=null==e?"":e}:null==t?function(){this.textContent=""}:function(){this.textContent=t}):this.node().textContent},Y.html=function(t){return arguments.length?this.each("function"==typeof t?function(){var e=t.apply(this,arguments);this.innerHTML=null==e?"":e}:null==t?function(){this.innerHTML=""}:function(){this.innerHTML=t}):this.node().innerHTML},Y.append=function(t){return t=at(t),this.select((function(){return this.appendChild(t.apply(this,arguments))}))},Y.insert=function(t,e){return t=at(t),e=W(e),this.select((function(){return this.insertBefore(t.apply(this,arguments),e.apply(this,arguments)||null)}))},Y.remove=function(){return this.each(ot)},Y.data=function(t,e){var r,n,i=-1,a=this.length;if(!arguments.length){for(t=new Array(a=(r=this[0]).length);++i<a;)(n=r[i])&&(t[i]=n.__data__);return t}function o(t,r){var n,i,a,o=t.length,u=r.length,f=Math.min(o,u),h=new Array(u),p=new Array(u),d=new Array(o);if(e){var m,g=new _,v=new Array(o);for(n=-1;++n<o;)(i=t[n])&&(g.has(m=e.call(i,i.__data__,n))?d[n]=i:g.set(m,i),v[n]=m);for(n=-1;++n<u;)(i=g.get(m=e.call(r,a=r[n],n)))?!0!==i&&(h[n]=i,i.__data__=a):p[n]=st(a),g.set(m,!0);for(n=-1;++n<o;)n in v&&!0!==g.get(v[n])&&(d[n]=t[n])}else{for(n=-1;++n<f;)i=t[n],a=r[n],i?(i.__data__=a,h[n]=i):p[n]=st(a);for(;n<u;++n)p[n]=st(r[n]);for(;n<o;++n)d[n]=t[n]}p.update=h,p.parentNode=h.parentNode=d.parentNode=t.parentNode,s.push(p),l.push(h),c.push(d)}var s=ft([]),l=V([]),c=V([]);if("function"==typeof t)for(;++i<a;)o(r=this[i],t.call(r,r.parentNode.__data__,i));else for(;++i<a;)o(r=this[i],t);return l.enter=function(){return s},l.exit=function(){return c},l},Y.datum=function(t){return arguments.length?this.property("__data__",t):this.property("__data__")},Y.filter=function(t){var e,r,n,i=[];"function"!=typeof t&&(t=lt(t));for(var a=0,o=this.length;a<o;a++){i.push(e=[]),e.parentNode=(r=this[a]).parentNode;for(var s=0,l=r.length;s<l;s++)(n=r[s])&&t.call(n,n.__data__,s,a)&&e.push(n)}return V(i)},Y.order=function(){for(var t=-1,e=this.length;++t<e;)for(var r,n=this[t],i=n.length-1,a=n[i];--i>=0;)(r=n[i])&&(a&&a!==r.nextSibling&&a.parentNode.insertBefore(r,a),a=r);return this},Y.sort=function(t){t=ct.apply(this,arguments);for(var e=-1,r=this.length;++e<r;)this[e].sort(t);return this.order()},Y.each=function(t){return ut(this,(function(e,r,n){t.call(e,e.__data__,r,n)}))},Y.call=function(t){var e=n(arguments);return t.apply(e[0]=this,e),this},Y.empty=function(){return!this.node()},Y.node=function(){for(var t=0,e=this.length;t<e;t++)for(var r=this[t],n=0,i=r.length;n<i;n++){var a=r[n];if(a)return a}return null},Y.size=function(){var t=0;return ut(this,(function(){++t})),t};var ht=[];function pt(t){var e,r;return function(n,i,a){var o,s=t[a].update,l=s.length;for(a!=r&&(r=a,e=0),i>=e&&(e=i+1);!(o=s[e])&&++e<l;);return o}}function dt(e,r,i){var a="__on"+e,o=e.indexOf("."),s=gt;o>0&&(e=e.slice(0,o));var l=mt.get(e);function c(){var t=this[a];t&&(this.removeEventListener(e,t,t.$),delete this[a])}return l&&(e=l,s=vt),o?r?function(){var t=s(r,n(arguments));c.call(this),this.addEventListener(e,this[a]=t,t.$=i),t._=r}:c:r?z:function(){var r,n=new RegExp("^__on([^.]+)"+t.requote(e)+"$");for(var i in this)if(r=i.match(n)){var a=this[i];this.removeEventListener(r[1],a,a.$),delete this[i]}}}t.selection.enter=ft,t.selection.enter.prototype=ht,ht.append=Y.append,ht.empty=Y.empty,ht.node=Y.node,ht.call=Y.call,ht.size=Y.size,ht.select=function(t){for(var e,r,n,i,a,o=[],s=-1,l=this.length;++s<l;){n=(i=this[s]).update,o.push(e=[]),e.parentNode=i.parentNode;for(var c=-1,u=i.length;++c<u;)(a=i[c])?(e.push(n[c]=r=t.call(i.parentNode,a.__data__,c,s)),r.__data__=a.__data__):e.push(null)}return V(o)},ht.insert=function(t,e){return arguments.length<2&&(e=pt(this)),Y.insert.call(this,t,e)},t.select=function(t){var e;return"string"==typeof t?(e=[H(t,i)]).parentNode=i.documentElement:(e=[t]).parentNode=a(t),V([e])},t.selectAll=function(t){var e;return"string"==typeof t?(e=n(q(t,i))).parentNode=i.documentElement:(e=n(t)).parentNode=null,V([e])},Y.on=function(t,e,r){var n=arguments.length;if(n<3){if("string"!=typeof t){for(r in n<2&&(e=!1),t)this.each(dt(r,t[r],e));return this}if(n<2)return(n=this.node()["__on"+t])&&n._;r=!1}return this.each(dt(t,e,r))};var mt=t.map({mouseenter:"mouseover",mouseleave:"mouseout"});function gt(e,r){return function(n){var i=t.event;t.event=n,r[0]=this.__data__;try{e.apply(this,r)}finally{t.event=i}}}function vt(t,e){var r=gt(t,e);return function(t){var e=t.relatedTarget;e&&(e===this||8&e.compareDocumentPosition(this))||r.call(this,t)}}i&&mt.forEach((function(t){"on"+t in i&&mt.remove(t)}));var yt,xt=0;function bt(e){var r=".dragsuppress-"+ ++xt,n="click"+r,i=t.select(o(e)).on("touchmove"+r,F).on("dragstart"+r,F).on("selectstart"+r,F);if(null==yt&&(yt=!("onselectstart"in e)&&I(e.style,"userSelect")),yt){var s=a(e).style,l=s[yt];s[yt]="none"}return function(t){if(i.on(r,null),yt&&(s[yt]=l),t){var e=function(){i.on(n,null)};i.on(n,(function(){F(),e()}),!0),setTimeout(e,0)}}}t.mouse=function(t){return wt(t,B())};var _t=this.navigator&&/WebKit/.test(this.navigator.userAgent)?-1:0;function wt(e,r){r.changedTouches&&(r=r.changedTouches[0]);var n=e.ownerSVGElement||e;if(n.createSVGPoint){var i=n.createSVGPoint();if(_t<0){var a=o(e);if(a.scrollX||a.scrollY){var s=(n=t.select("body").append("svg").style({position:"absolute",top:0,left:0,margin:0,padding:0,border:"none"},"important"))[0][0].getScreenCTM();_t=!(s.f||s.e),n.remove()}}return _t?(i.x=r.pageX,i.y=r.pageY):(i.x=r.clientX,i.y=r.clientY),[(i=i.matrixTransform(e.getScreenCTM().inverse())).x,i.y]}var l=e.getBoundingClientRect();return[r.clientX-l.left-e.clientLeft,r.clientY-l.top-e.clientTop]}function Tt(){return t.event.changedTouches[0].identifier}t.touch=function(t,e,r){if(arguments.length<3&&(r=e,e=B().changedTouches),e)for(var n,i=0,a=e.length;i<a;++i)if((n=e[i]).identifier===r)return wt(t,n)},t.behavior.drag=function(){var e=N(a,"drag","dragstart","dragend"),r=null,n=s(z,t.mouse,o,"mousemove","mouseup"),i=s(Tt,t.touch,C,"touchmove","touchend");function a(){this.on("mousedown.drag",n).on("touchstart.drag",i)}function s(n,i,a,o,s){return function(){var l,c=this,u=t.event.target.correspondingElement||t.event.target,f=c.parentNode,h=e.of(c,arguments),p=0,d=n(),m=".drag"+(null==d?"":"-"+d),g=t.select(a(u)).on(o+m,x).on(s+m,b),v=bt(u),y=i(f,d);function x(){var t,e,r=i(f,d);r&&(t=r[0]-y[0],e=r[1]-y[1],p|=t|e,y=r,h({type:"drag",x:r[0]+l[0],y:r[1]+l[1],dx:t,dy:e}))}function b(){i(f,d)&&(g.on(o+m,null).on(s+m,null),v(p),h({type:"dragend"}))}l=r?[(l=r.apply(c,arguments)).x-y[0],l.y-y[1]]:[0,0],h({type:"dragstart"})}}return a.origin=function(t){return arguments.length?(r=t,a):r},t.rebind(a,e,"on")},t.touches=function(t,e){return arguments.length<2&&(e=B().touches),e?n(e).map((function(e){var r=wt(t,e);return r.identifier=e.identifier,r})):[]};var kt=1e-6,At=Math.PI,Mt=2*At,St=Mt-kt,Et=At/2,Lt=At/180,Ct=180/At;function Pt(t){return t>1?Et:t<-1?-Et:Math.asin(t)}function It(t){return((t=Math.exp(t))+1/t)/2}var Ot=Math.SQRT2;t.interpolateZoom=function(t,e){var r,n,i=t[0],a=t[1],o=t[2],s=e[0],l=e[1],c=e[2],u=s-i,f=l-a,h=u*u+f*f;if(h<1e-12)n=Math.log(c/o)/Ot,r=function(t){return[i+t*u,a+t*f,o*Math.exp(Ot*t*n)]};else{var p=Math.sqrt(h),d=(c*c-o*o+4*h)/(2*o*2*p),m=(c*c-o*o-4*h)/(2*c*2*p),g=Math.log(Math.sqrt(d*d+1)-d),v=Math.log(Math.sqrt(m*m+1)-m);n=(v-g)/Ot,r=function(t){var e,r=t*n,s=It(g),l=o/(2*p)*(s*(e=Ot*r+g,((e=Math.exp(2*e))-1)/(e+1))-function(t){return((t=Math.exp(t))-1/t)/2}(g));return[i+l*u,a+l*f,o*s/It(Ot*r+g)]}}return r.duration=1e3*n,r},t.behavior.zoom=function(){var e,r,n,a,s,l,c,u,f,h={x:0,y:0,k:1},p=[960,500],d=Rt,m=250,g=0,v="mousedown.zoom",y="mousemove.zoom",x="mouseup.zoom",b="touchstart.zoom",_=N(w,"zoomstart","zoom","zoomend");function w(t){t.on(v,P).on(Dt+".zoom",O).on("dblclick.zoom",z).on(b,I)}function T(t){return[(t[0]-h.x)/h.k,(t[1]-h.y)/h.k]}function k(t){h.k=Math.max(d[0],Math.min(d[1],t))}function A(t,e){e=function(t){return[t[0]*h.k+h.x,t[1]*h.k+h.y]}(e),h.x+=t[0]-e[0],h.y+=t[1]-e[1]}function M(e,n,i,a){e.__chart__={x:h.x,y:h.y,k:h.k},k(Math.pow(2,a)),A(r=n,i),e=t.select(e),m>0&&(e=e.transition().duration(m)),e.call(w.event)}function S(){c&&c.domain(l.range().map((function(t){return(t-h.x)/h.k})).map(l.invert)),f&&f.domain(u.range().map((function(t){return(t-h.y)/h.k})).map(u.invert))}function E(t){g++||t({type:"zoomstart"})}function L(t){S(),t({type:"zoom",scale:h.k,translate:[h.x,h.y]})}function C(t){--g||(t({type:"zoomend"}),r=null)}function P(){var e=this,r=_.of(e,arguments),n=0,i=t.select(o(e)).on(y,l).on(x,c),a=T(t.mouse(e)),s=bt(e);function l(){n=1,A(t.mouse(e),a),L(r)}function c(){i.on(y,null).on(x,null),s(n),C(r)}Di.call(e),E(r)}function I(){var e,r=this,n=_.of(r,arguments),i={},a=0,o=".zoom-"+t.event.changedTouches[0].identifier,l="touchmove"+o,c="touchend"+o,u=[],f=t.select(r),p=bt(r);function d(){var n=t.touches(r);return e=h.k,n.forEach((function(t){t.identifier in i&&(i[t.identifier]=T(t))})),n}function m(){var e=t.event.target;t.select(e).on(l,g).on(c,y),u.push(e);for(var n=t.event.changedTouches,o=0,f=n.length;o<f;++o)i[n[o].identifier]=null;var p=d(),m=Date.now();if(1===p.length){if(m-s<500){var v=p[0];M(r,v,i[v.identifier],Math.floor(Math.log(h.k)/Math.LN2)+1),F()}s=m}else if(p.length>1){v=p[0];var x=p[1],b=v[0]-x[0],_=v[1]-x[1];a=b*b+_*_}}function g(){var o,l,c,u,f=t.touches(r);Di.call(r);for(var h=0,p=f.length;h<p;++h,u=null)if(c=f[h],u=i[c.identifier]){if(l)break;o=c,l=u}if(u){var d=(d=c[0]-o[0])*d+(d=c[1]-o[1])*d,m=a&&Math.sqrt(d/a);o=[(o[0]+c[0])/2,(o[1]+c[1])/2],l=[(l[0]+u[0])/2,(l[1]+u[1])/2],k(m*e)}s=null,A(o,l),L(n)}function y(){if(t.event.touches.length){for(var e=t.event.changedTouches,r=0,a=e.length;r<a;++r)delete i[e[r].identifier];for(var s in i)return void d()}t.selectAll(u).on(o,null),f.on(v,P).on(b,I),p(),C(n)}m(),E(n),f.on(v,null).on(b,m)}function O(){var i=_.of(this,arguments);a?clearTimeout(a):(Di.call(this),e=T(r=n||t.mouse(this)),E(i)),a=setTimeout((function(){a=null,C(i)}),50),F(),k(Math.pow(2,.002*zt())*h.k),A(r,e),L(i)}function z(){var e=t.mouse(this),r=Math.log(h.k)/Math.LN2;M(this,e,T(e),t.event.shiftKey?Math.ceil(r)-1:Math.floor(r)+1)}return Dt||(Dt="onwheel"in i?(zt=function(){return-t.event.deltaY*(t.event.deltaMode?120:1)},"wheel"):"onmousewheel"in i?(zt=function(){return t.event.wheelDelta},"mousewheel"):(zt=function(){return-t.event.detail},"MozMousePixelScroll")),w.event=function(e){e.each((function(){var e=_.of(this,arguments),n=h;Bi?t.select(this).transition().each("start.zoom",(function(){h=this.__chart__||{x:0,y:0,k:1},E(e)})).tween("zoom:zoom",(function(){var i=p[0],a=p[1],o=r?r[0]:i/2,s=r?r[1]:a/2,l=t.interpolateZoom([(o-h.x)/h.k,(s-h.y)/h.k,i/h.k],[(o-n.x)/n.k,(s-n.y)/n.k,i/n.k]);return function(t){var r=l(t),n=i/r[2];this.__chart__=h={x:o-r[0]*n,y:s-r[1]*n,k:n},L(e)}})).each("interrupt.zoom",(function(){C(e)})).each("end.zoom",(function(){C(e)})):(this.__chart__=h,E(e),L(e),C(e))}))},w.translate=function(t){return arguments.length?(h={x:+t[0],y:+t[1],k:h.k},S(),w):[h.x,h.y]},w.scale=function(t){return arguments.length?(h={x:h.x,y:h.y,k:null},k(+t),S(),w):h.k},w.scaleExtent=function(t){return arguments.length?(d=null==t?Rt:[+t[0],+t[1]],w):d},w.center=function(t){return arguments.length?(n=t&&[+t[0],+t[1]],w):n},w.size=function(t){return arguments.length?(p=t&&[+t[0],+t[1]],w):p},w.duration=function(t){return arguments.length?(m=+t,w):m},w.x=function(t){return arguments.length?(c=t,l=t.copy(),h={x:0,y:0,k:1},w):c},w.y=function(t){return arguments.length?(f=t,u=t.copy(),h={x:0,y:0,k:1},w):f},t.rebind(w,_,"on")};var zt,Dt,Rt=[0,1/0];function Ft(){}function Bt(t,e,r){return this instanceof Bt?(this.h=+t,this.s=+e,void(this.l=+r)):arguments.length<2?t instanceof Bt?new Bt(t.h,t.s,t.l):ne(""+t,ie,Bt):new Bt(t,e,r)}t.color=Ft,Ft.prototype.toString=function(){return this.rgb()+""},t.hsl=Bt;var Nt=Bt.prototype=new Ft;function jt(t,e,r){var n,i;function a(t){return Math.round(255*function(t){return t>360?t-=360:t<0&&(t+=360),t<60?n+(i-n)*t/60:t<180?i:t<240?n+(i-n)*(240-t)/60:n}(t))}return t=isNaN(t)?0:(t%=360)<0?t+360:t,e=isNaN(e)||e<0?0:e>1?1:e,n=2*(r=r<0?0:r>1?1:r)-(i=r<=.5?r*(1+e):r+e-r*e),new Qt(a(t+120),a(t),a(t-120))}function Ut(e,r,n){return this instanceof Ut?(this.h=+e,this.c=+r,void(this.l=+n)):arguments.length<2?e instanceof Ut?new Ut(e.h,e.c,e.l):Xt(e instanceof qt?e.l:(e=ae((e=t.rgb(e)).r,e.g,e.b)).l,e.a,e.b):new Ut(e,r,n)}Nt.brighter=function(t){return t=Math.pow(.7,arguments.length?t:1),new Bt(this.h,this.s,this.l/t)},Nt.darker=function(t){return t=Math.pow(.7,arguments.length?t:1),new Bt(this.h,this.s,t*this.l)},Nt.rgb=function(){return jt(this.h,this.s,this.l)},t.hcl=Ut;var Vt=Ut.prototype=new Ft;function Ht(t,e,r){return isNaN(t)&&(t=0),isNaN(e)&&(e=0),new qt(r,Math.cos(t*=Lt)*e,Math.sin(t)*e)}function qt(t,e,r){return this instanceof qt?(this.l=+t,this.a=+e,void(this.b=+r)):arguments.length<2?t instanceof qt?new qt(t.l,t.a,t.b):t instanceof Ut?Ht(t.h,t.c,t.l):ae((t=Qt(t)).r,t.g,t.b):new qt(t,e,r)}Vt.brighter=function(t){return new Ut(this.h,this.c,Math.min(100,this.l+Gt*(arguments.length?t:1)))},Vt.darker=function(t){return new Ut(this.h,this.c,Math.max(0,this.l-Gt*(arguments.length?t:1)))},Vt.rgb=function(){return Ht(this.h,this.c,this.l).rgb()},t.lab=qt;var Gt=18,Yt=qt.prototype=new Ft;function Wt(t,e,r){var n=(t+16)/116,i=n+e/500,a=n-r/200;return new Qt(Kt(3.2404542*(i=.95047*Zt(i))-1.5371385*(n=1*Zt(n))-.4985314*(a=1.08883*Zt(a))),Kt(-.969266*i+1.8760108*n+.041556*a),Kt(.0556434*i-.2040259*n+1.0572252*a))}function Xt(t,e,r){return t>0?new Ut(Math.atan2(r,e)*Ct,Math.sqrt(e*e+r*r),t):new Ut(NaN,NaN,t)}function Zt(t){return t>.206893034?t*t*t:(t-4/29)/7.787037}function Jt(t){return t>.008856?Math.pow(t,1/3):7.787037*t+4/29}function Kt(t){return Math.round(255*(t<=.00304?12.92*t:1.055*Math.pow(t,1/2.4)-.055))}function Qt(t,e,r){return this instanceof Qt?(this.r=~~t,this.g=~~e,void(this.b=~~r)):arguments.length<2?t instanceof Qt?new Qt(t.r,t.g,t.b):ne(""+t,Qt,jt):new Qt(t,e,r)}function $t(t){return new Qt(t>>16,t>>8&255,255&t)}function te(t){return $t(t)+""}Yt.brighter=function(t){return new qt(Math.min(100,this.l+Gt*(arguments.length?t:1)),this.a,this.b)},Yt.darker=function(t){return new qt(Math.max(0,this.l-Gt*(arguments.length?t:1)),this.a,this.b)},Yt.rgb=function(){return Wt(this.l,this.a,this.b)},t.rgb=Qt;var ee=Qt.prototype=new Ft;function re(t){return t<16?"0"+Math.max(0,t).toString(16):Math.min(255,t).toString(16)}function ne(t,e,r){var n,i,a,o=0,s=0,l=0;if(n=/([a-z]+)\((.*)\)/.exec(t=t.toLowerCase()))switch(i=n[2].split(","),n[1]){case"hsl":return r(parseFloat(i[0]),parseFloat(i[1])/100,parseFloat(i[2])/100);case"rgb":return e(se(i[0]),se(i[1]),se(i[2]))}return(a=le.get(t))?e(a.r,a.g,a.b):(null==t||"#"!==t.charAt(0)||isNaN(a=parseInt(t.slice(1),16))||(4===t.length?(o=(3840&a)>>4,o|=o>>4,s=240&a,s|=s>>4,l=15&a,l|=l<<4):7===t.length&&(o=(16711680&a)>>16,s=(65280&a)>>8,l=255&a)),e(o,s,l))}function ie(t,e,r){var n,i,a=Math.min(t/=255,e/=255,r/=255),o=Math.max(t,e,r),s=o-a,l=(o+a)/2;return s?(i=l<.5?s/(o+a):s/(2-o-a),n=t==o?(e-r)/s+(e<r?6:0):e==o?(r-t)/s+2:(t-e)/s+4,n*=60):(n=NaN,i=l>0&&l<1?0:n),new Bt(n,i,l)}function ae(t,e,r){var n=Jt((.4124564*(t=oe(t))+.3575761*(e=oe(e))+.1804375*(r=oe(r)))/.95047),i=Jt((.2126729*t+.7151522*e+.072175*r)/1);return qt(116*i-16,500*(n-i),200*(i-Jt((.0193339*t+.119192*e+.9503041*r)/1.08883)))}function oe(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function se(t){var e=parseFloat(t);return"%"===t.charAt(t.length-1)?Math.round(2.55*e):e}ee.brighter=function(t){t=Math.pow(.7,arguments.length?t:1);var e=this.r,r=this.g,n=this.b,i=30;return e||r||n?(e&&e<i&&(e=i),r&&r<i&&(r=i),n&&n<i&&(n=i),new Qt(Math.min(255,e/t),Math.min(255,r/t),Math.min(255,n/t))):new Qt(i,i,i)},ee.darker=function(t){return new Qt((t=Math.pow(.7,arguments.length?t:1))*this.r,t*this.g,t*this.b)},ee.hsl=function(){return ie(this.r,this.g,this.b)},ee.toString=function(){return"#"+re(this.r)+re(this.g)+re(this.b)};var le=t.map({aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074});function ce(t){return"function"==typeof t?t:function(){return t}}function ue(t){return function(e,r,n){return 2===arguments.length&&"function"==typeof r&&(n=r,r=null),fe(e,r,t,n)}}function fe(e,r,i,a){var o={},s=t.dispatch("beforesend","progress","load","error"),l={},c=new XMLHttpRequest,u=null;function f(){var t,e=c.status;if(!e&&function(t){var e=t.responseType;return e&&"text"!==e?t.response:t.responseText}(c)||e>=200&&e<300||304===e){try{t=i.call(o,c)}catch(t){return void s.error.call(o,t)}s.load.call(o,t)}else s.error.call(o,c)}return self.XDomainRequest&&!("withCredentials"in c)&&/^(http(s)?:)?\/\//.test(e)&&(c=new XDomainRequest),"onload"in c?c.onload=c.onerror=f:c.onreadystatechange=function(){c.readyState>3&&f()},c.onprogress=function(e){var r=t.event;t.event=e;try{s.progress.call(o,c)}finally{t.event=r}},o.header=function(t,e){return t=(t+"").toLowerCase(),arguments.length<2?l[t]:(null==e?delete l[t]:l[t]=e+"",o)},o.mimeType=function(t){return arguments.length?(r=null==t?null:t+"",o):r},o.responseType=function(t){return arguments.length?(u=t,o):u},o.response=function(t){return i=t,o},["get","post"].forEach((function(t){o[t]=function(){return o.send.apply(o,[t].concat(n(arguments)))}})),o.send=function(t,n,i){if(2===arguments.length&&"function"==typeof n&&(i=n,n=null),c.open(t,e,!0),null==r||"accept"in l||(l.accept=r+",*/*"),c.setRequestHeader)for(var a in l)c.setRequestHeader(a,l[a]);return null!=r&&c.overrideMimeType&&c.overrideMimeType(r),null!=u&&(c.responseType=u),null!=i&&o.on("error",i).on("load",(function(t){i(null,t)})),s.beforesend.call(o,c),c.send(null==n?null:n),o},o.abort=function(){return c.abort(),o},t.rebind(o,s,"on"),null==a?o:o.get(function(t){return 1===t.length?function(e,r){t(null==e?r:null)}:t}(a))}le.forEach((function(t,e){le.set(t,$t(e))})),t.functor=ce,t.xhr=ue(C),t.dsv=function(t,e){var r=new RegExp('["'+t+"\n]"),n=t.charCodeAt(0);function i(t,r,n){arguments.length<3&&(n=r,r=null);var i=fe(t,e,null==r?a:o(r),n);return i.row=function(t){return arguments.length?i.response(null==(r=t)?a:o(t)):r},i}function a(t){return i.parse(t.responseText)}function o(t){return function(e){return i.parse(e.responseText,t)}}function s(e){return e.map(l).join(t)}function l(t){return r.test(t)?'"'+t.replace(/\"/g,'""')+'"':t}return i.parse=function(t,e){var r;return i.parseRows(t,(function(t,n){if(r)return r(t,n-1);var i=function(e){for(var r={},n=t.length,i=0;i<n;++i)r[t[i]]=e[i];return r};r=e?function(t,r){return e(i(t),r)}:i}))},i.parseRows=function(t,e){var r,i,a={},o={},s=[],l=t.length,c=0,u=0;function f(){if(c>=l)return o;if(i)return i=!1,a;var e=c;if(34===t.charCodeAt(e)){for(var r=e;r++<l;)if(34===t.charCodeAt(r)){if(34!==t.charCodeAt(r+1))break;++r}return c=r+2,13===(s=t.charCodeAt(r+1))?(i=!0,10===t.charCodeAt(r+2)&&++c):10===s&&(i=!0),t.slice(e+1,r).replace(/""/g,'"')}for(;c<l;){var s,u=1;if(10===(s=t.charCodeAt(c++)))i=!0;else if(13===s)i=!0,10===t.charCodeAt(c)&&(++c,++u);else if(s!==n)continue;return t.slice(e,c-u)}return t.slice(e)}for(;(r=f())!==o;){for(var h=[];r!==a&&r!==o;)h.push(r),r=f();e&&null==(h=e(h,u++))||s.push(h)}return s},i.format=function(e){if(Array.isArray(e[0]))return i.formatRows(e);var r=new L,n=[];return e.forEach((function(t){for(var e in t)r.has(e)||n.push(r.add(e))})),[n.map(l).join(t)].concat(e.map((function(e){return n.map((function(t){return l(e[t])})).join(t)}))).join("\n")},i.formatRows=function(t){return t.map(s).join("\n")},i},t.csv=t.dsv(",","text/csv"),t.tsv=t.dsv("\t","text/tab-separated-values");var he,pe,de,me,ge=this[I(this,"requestAnimationFrame")]||function(t){setTimeout(t,17)};function ve(t,e,r){var n=arguments.length;n<2&&(e=0),n<3&&(r=Date.now());var i=r+e,a={c:t,t:i,n:null};return pe?pe.n=a:he=a,pe=a,de||(me=clearTimeout(me),de=1,ge(ye)),a}function ye(){var t=xe(),e=be()-t;e>24?(isFinite(e)&&(clearTimeout(me),me=setTimeout(ye,e)),de=0):(de=1,ge(ye))}function xe(){for(var t=Date.now(),e=he;e;)t>=e.t&&e.c(t-e.t)&&(e.c=null),e=e.n;return t}function be(){for(var t,e=he,r=1/0;e;)e.c?(e.t<r&&(r=e.t),e=(t=e).n):e=t?t.n=e.n:he=e.n;return pe=t,r}function _e(t){return t[0]}function we(t){return t[1]}function Te(t){for(var e,r,n,i=t.length,a=[0,1],o=2,s=2;s<i;s++){for(;o>1&&(e=t[a[o-2]],r=t[a[o-1]],n=t[s],(r[0]-e[0])*(n[1]-e[1])-(r[1]-e[1])*(n[0]-e[0])<=0);)--o;a[o++]=s}return a.slice(0,o)}function ke(t,e){return t[0]-e[0]||t[1]-e[1]}t.timer=function(){ve.apply(this,arguments)},t.timer.flush=function(){xe(),be()},t.round=function(t,e){return e?Math.round(t*(e=Math.pow(10,e)))/e:Math.round(t)},t.geom={},t.geom.hull=function(t){var e=_e,r=we;if(arguments.length)return n(t);function n(t){if(t.length<3)return[];var n,i=ce(e),a=ce(r),o=t.length,s=[],l=[];for(n=0;n<o;n++)s.push([+i.call(this,t[n],n),+a.call(this,t[n],n),n]);for(s.sort(ke),n=0;n<o;n++)l.push([s[n][0],-s[n][1]]);var c=Te(s),u=Te(l),f=u[0]===c[0],h=u[u.length-1]===c[c.length-1],p=[];for(n=c.length-1;n>=0;--n)p.push(t[s[c[n]][2]]);for(n=+f;n<u.length-h;++n)p.push(t[s[u[n]][2]]);return p}return n.x=function(t){return arguments.length?(e=t,n):e},n.y=function(t){return arguments.length?(r=t,n):r},n},t.geom.polygon=function(t){return U(t,Ae),t};var Ae=t.geom.polygon.prototype=[];function Me(t,e,r){return(r[0]-e[0])*(t[1]-e[1])<(r[1]-e[1])*(t[0]-e[0])}function Se(t,e,r,n){var i=t[0],a=r[0],o=e[0]-i,s=n[0]-a,l=t[1],c=r[1],u=e[1]-l,f=n[1]-c,h=(s*(l-c)-f*(i-a))/(f*o-s*u);return[i+h*o,l+h*u]}function Ee(t){var e=t[0],r=t[t.length-1];return!(e[0]-r[0]||e[1]-r[1])}Ae.area=function(){for(var t,e=-1,r=this.length,n=this[r-1],i=0;++e<r;)t=n,n=this[e],i+=t[1]*n[0]-t[0]*n[1];return.5*i},Ae.centroid=function(t){var e,r,n=-1,i=this.length,a=0,o=0,s=this[i-1];for(arguments.length||(t=-1/(6*this.area()));++n<i;)e=s,s=this[n],r=e[0]*s[1]-s[0]*e[1],a+=(e[0]+s[0])*r,o+=(e[1]+s[1])*r;return[a*t,o*t]},Ae.clip=function(t){for(var e,r,n,i,a,o,s=Ee(t),l=-1,c=this.length-Ee(this),u=this[c-1];++l<c;){for(e=t.slice(),t.length=0,i=this[l],a=e[(n=e.length-s)-1],r=-1;++r<n;)Me(o=e[r],u,i)?(Me(a,u,i)||t.push(Se(a,o,u,i)),t.push(o)):Me(a,u,i)&&t.push(Se(a,o,u,i)),a=o;s&&t.push(t[0]),u=i}return t};var Le,Ce,Pe,Ie,Oe,ze=[],De=[];function Re(){er(this),this.edge=this.site=this.circle=null}function Fe(t){var e=ze.pop()||new Re;return e.site=t,e}function Be(t){We(t),Pe.remove(t),ze.push(t),er(t)}function Ne(t){var e=t.circle,r=e.x,n=e.cy,i={x:r,y:n},a=t.P,o=t.N,s=[t];Be(t);for(var l=a;l.circle&&y(r-l.circle.x)<kt&&y(n-l.circle.cy)<kt;)a=l.P,s.unshift(l),Be(l),l=a;s.unshift(l),We(l);for(var c=o;c.circle&&y(r-c.circle.x)<kt&&y(n-c.circle.cy)<kt;)o=c.N,s.push(c),Be(c),c=o;s.push(c),We(c);var u,f=s.length;for(u=1;u<f;++u)c=s[u],l=s[u-1],Qe(c.edge,l.site,c.site,i);l=s[0],(c=s[f-1]).edge=Je(l.site,c.site,null,i),Ye(l),Ye(c)}function je(t){for(var e,r,n,i,a=t.x,o=t.y,s=Pe._;s;)if((n=Ue(s,o)-a)>kt)s=s.L;else{if(!((i=a-Ve(s,o))>kt)){n>-kt?(e=s.P,r=s):i>-kt?(e=s,r=s.N):e=r=s;break}if(!s.R){e=s;break}s=s.R}var l=Fe(t);if(Pe.insert(e,l),e||r){if(e===r)return We(e),r=Fe(e.site),Pe.insert(l,r),l.edge=r.edge=Je(e.site,l.site),Ye(e),void Ye(r);if(r){We(e),We(r);var c=e.site,u=c.x,f=c.y,h=t.x-u,p=t.y-f,d=r.site,m=d.x-u,g=d.y-f,v=2*(h*g-p*m),y=h*h+p*p,x=m*m+g*g,b={x:(g*y-p*x)/v+u,y:(h*x-m*y)/v+f};Qe(r.edge,c,d,b),l.edge=Je(c,t,null,b),r.edge=Je(t,d,null,b),Ye(e),Ye(r)}else l.edge=Je(e.site,l.site)}}function Ue(t,e){var r=t.site,n=r.x,i=r.y,a=i-e;if(!a)return n;var o=t.P;if(!o)return-1/0;var s=(r=o.site).x,l=r.y,c=l-e;if(!c)return s;var u=s-n,f=1/a-1/c,h=u/c;return f?(-h+Math.sqrt(h*h-2*f*(u*u/(-2*c)-l+c/2+i-a/2)))/f+n:(n+s)/2}function Ve(t,e){var r=t.N;if(r)return Ue(r,e);var n=t.site;return n.y===e?n.x:1/0}function He(t){this.site=t,this.edges=[]}function qe(t,e){return e.angle-t.angle}function Ge(){er(this),this.x=this.y=this.arc=this.site=this.cy=null}function Ye(t){var e=t.P,r=t.N;if(e&&r){var n=e.site,i=t.site,a=r.site;if(n!==a){var o=i.x,s=i.y,l=n.x-o,c=n.y-s,u=a.x-o,f=2*(l*(g=a.y-s)-c*u);if(!(f>=-1e-12)){var h=l*l+c*c,p=u*u+g*g,d=(g*h-c*p)/f,m=(l*p-u*h)/f,g=m+s,v=De.pop()||new Ge;v.arc=t,v.site=i,v.x=d+o,v.y=g+Math.sqrt(d*d+m*m),v.cy=g,t.circle=v;for(var y=null,x=Oe._;x;)if(v.y<x.y||v.y===x.y&&v.x<=x.x){if(!x.L){y=x.P;break}x=x.L}else{if(!x.R){y=x;break}x=x.R}Oe.insert(y,v),y||(Ie=v)}}}}function We(t){var e=t.circle;e&&(e.P||(Ie=e.N),Oe.remove(e),De.push(e),er(e),t.circle=null)}function Xe(t,e){var r=t.b;if(r)return!0;var n,i,a=t.a,o=e[0][0],s=e[1][0],l=e[0][1],c=e[1][1],u=t.l,f=t.r,h=u.x,p=u.y,d=f.x,m=f.y,g=(h+d)/2,v=(p+m)/2;if(m===p){if(g<o||g>=s)return;if(h>d){if(a){if(a.y>=c)return}else a={x:g,y:l};r={x:g,y:c}}else{if(a){if(a.y<l)return}else a={x:g,y:c};r={x:g,y:l}}}else if(i=v-(n=(h-d)/(m-p))*g,n<-1||n>1)if(h>d){if(a){if(a.y>=c)return}else a={x:(l-i)/n,y:l};r={x:(c-i)/n,y:c}}else{if(a){if(a.y<l)return}else a={x:(c-i)/n,y:c};r={x:(l-i)/n,y:l}}else if(p<m){if(a){if(a.x>=s)return}else a={x:o,y:n*o+i};r={x:s,y:n*s+i}}else{if(a){if(a.x<o)return}else a={x:s,y:n*s+i};r={x:o,y:n*o+i}}return t.a=a,t.b=r,!0}function Ze(t,e){this.l=t,this.r=e,this.a=this.b=null}function Je(t,e,r,n){var i=new Ze(t,e);return Le.push(i),r&&Qe(i,t,e,r),n&&Qe(i,e,t,n),Ce[t.i].edges.push(new $e(i,t,e)),Ce[e.i].edges.push(new $e(i,e,t)),i}function Ke(t,e,r){var n=new Ze(t,null);return n.a=e,n.b=r,Le.push(n),n}function Qe(t,e,r,n){t.a||t.b?t.l===r?t.b=n:t.a=n:(t.a=n,t.l=e,t.r=r)}function $e(t,e,r){var n=t.a,i=t.b;this.edge=t,this.site=e,this.angle=r?Math.atan2(r.y-e.y,r.x-e.x):t.l===e?Math.atan2(i.x-n.x,n.y-i.y):Math.atan2(n.x-i.x,i.y-n.y)}function tr(){this._=null}function er(t){t.U=t.C=t.L=t.R=t.P=t.N=null}function rr(t,e){var r=e,n=e.R,i=r.U;i?i.L===r?i.L=n:i.R=n:t._=n,n.U=i,r.U=n,r.R=n.L,r.R&&(r.R.U=r),n.L=r}function nr(t,e){var r=e,n=e.L,i=r.U;i?i.L===r?i.L=n:i.R=n:t._=n,n.U=i,r.U=n,r.L=n.R,r.L&&(r.L.U=r),n.R=r}function ir(t){for(;t.L;)t=t.L;return t}function ar(t,e){var r,n,i,a=t.sort(or).pop();for(Le=[],Ce=new Array(t.length),Pe=new tr,Oe=new tr;;)if(i=Ie,a&&(!i||a.y<i.y||a.y===i.y&&a.x<i.x))a.x===r&&a.y===n||(Ce[a.i]=new He(a),je(a),r=a.x,n=a.y),a=t.pop();else{if(!i)break;Ne(i.arc)}e&&(function(t){for(var e,r,n,i,a,o=Le,s=(r=t[0][0],n=t[0][1],i=t[1][0],a=t[1][1],function(t){var e,o=t.a,s=t.b,l=o.x,c=o.y,u=0,f=1,h=s.x-l,p=s.y-c;if(e=r-l,h||!(e>0)){if(e/=h,h<0){if(e<u)return;e<f&&(f=e)}else if(h>0){if(e>f)return;e>u&&(u=e)}if(e=i-l,h||!(e<0)){if(e/=h,h<0){if(e>f)return;e>u&&(u=e)}else if(h>0){if(e<u)return;e<f&&(f=e)}if(e=n-c,p||!(e>0)){if(e/=p,p<0){if(e<u)return;e<f&&(f=e)}else if(p>0){if(e>f)return;e>u&&(u=e)}if(e=a-c,p||!(e<0)){if(e/=p,p<0){if(e>f)return;e>u&&(u=e)}else if(p>0){if(e<u)return;e<f&&(f=e)}return u>0&&(t.a={x:l+u*h,y:c+u*p}),f<1&&(t.b={x:l+f*h,y:c+f*p}),t}}}}}),l=o.length;l--;)(!Xe(e=o[l],t)||!s(e)||y(e.a.x-e.b.x)<kt&&y(e.a.y-e.b.y)<kt)&&(e.a=e.b=null,o.splice(l,1))}(e),function(t){for(var e,r,n,i,a,o,s,l,c,u,f=t[0][0],h=t[1][0],p=t[0][1],d=t[1][1],m=Ce,g=m.length;g--;)if((a=m[g])&&a.prepare())for(l=(s=a.edges).length,o=0;o<l;)n=(u=s[o].end()).x,i=u.y,e=(c=s[++o%l].start()).x,r=c.y,(y(n-e)>kt||y(i-r)>kt)&&(s.splice(o,0,new $e(Ke(a.site,u,y(n-f)<kt&&d-i>kt?{x:f,y:y(e-f)<kt?r:d}:y(i-d)<kt&&h-n>kt?{x:y(r-d)<kt?e:h,y:d}:y(n-h)<kt&&i-p>kt?{x:h,y:y(e-h)<kt?r:p}:y(i-p)<kt&&n-f>kt?{x:y(r-p)<kt?e:f,y:p}:null),a.site,null)),++l)}(e));var o={cells:Ce,edges:Le};return Pe=Oe=Le=Ce=null,o}function or(t,e){return e.y-t.y||e.x-t.x}He.prototype.prepare=function(){for(var t,e=this.edges,r=e.length;r--;)(t=e[r].edge).b&&t.a||e.splice(r,1);return e.sort(qe),e.length},$e.prototype={start:function(){return this.edge.l===this.site?this.edge.a:this.edge.b},end:function(){return this.edge.l===this.site?this.edge.b:this.edge.a}},tr.prototype={insert:function(t,e){var r,n,i;if(t){if(e.P=t,e.N=t.N,t.N&&(t.N.P=e),t.N=e,t.R){for(t=t.R;t.L;)t=t.L;t.L=e}else t.R=e;r=t}else this._?(t=ir(this._),e.P=null,e.N=t,t.P=t.L=e,r=t):(e.P=e.N=null,this._=e,r=null);for(e.L=e.R=null,e.U=r,e.C=!0,t=e;r&&r.C;)r===(n=r.U).L?(i=n.R)&&i.C?(r.C=i.C=!1,n.C=!0,t=n):(t===r.R&&(rr(this,r),r=(t=r).U),r.C=!1,n.C=!0,nr(this,n)):(i=n.L)&&i.C?(r.C=i.C=!1,n.C=!0,t=n):(t===r.L&&(nr(this,r),r=(t=r).U),r.C=!1,n.C=!0,rr(this,n)),r=t.U;this._.C=!1},remove:function(t){t.N&&(t.N.P=t.P),t.P&&(t.P.N=t.N),t.N=t.P=null;var e,r,n,i=t.U,a=t.L,o=t.R;if(r=a?o?ir(o):a:o,i?i.L===t?i.L=r:i.R=r:this._=r,a&&o?(n=r.C,r.C=t.C,r.L=a,a.U=r,r!==o?(i=r.U,r.U=t.U,t=r.R,i.L=t,r.R=o,o.U=r):(r.U=i,i=r,t=r.R)):(n=t.C,t=r),t&&(t.U=i),!n)if(t&&t.C)t.C=!1;else{do{if(t===this._)break;if(t===i.L){if((e=i.R).C&&(e.C=!1,i.C=!0,rr(this,i),e=i.R),e.L&&e.L.C||e.R&&e.R.C){e.R&&e.R.C||(e.L.C=!1,e.C=!0,nr(this,e),e=i.R),e.C=i.C,i.C=e.R.C=!1,rr(this,i),t=this._;break}}else if((e=i.L).C&&(e.C=!1,i.C=!0,nr(this,i),e=i.L),e.L&&e.L.C||e.R&&e.R.C){e.L&&e.L.C||(e.R.C=!1,e.C=!0,rr(this,e),e=i.L),e.C=i.C,i.C=e.L.C=!1,nr(this,i),t=this._;break}e.C=!0,t=i,i=i.U}while(!t.C);t&&(t.C=!1)}}},t.geom.voronoi=function(t){var e=_e,r=we,n=e,i=r,a=sr;if(t)return o(t);function o(t){var e=new Array(t.length),r=a[0][0],n=a[0][1],i=a[1][0],o=a[1][1];return ar(s(t),a).cells.forEach((function(a,s){var l=a.edges,c=a.site;(e[s]=l.length?l.map((function(t){var e=t.start();return[e.x,e.y]})):c.x>=r&&c.x<=i&&c.y>=n&&c.y<=o?[[r,o],[i,o],[i,n],[r,n]]:[]).point=t[s]})),e}function s(t){return t.map((function(t,e){return{x:Math.round(n(t,e)/kt)*kt,y:Math.round(i(t,e)/kt)*kt,i:e}}))}return o.links=function(t){return ar(s(t)).edges.filter((function(t){return t.l&&t.r})).map((function(e){return{source:t[e.l.i],target:t[e.r.i]}}))},o.triangles=function(t){var e=[];return ar(s(t)).cells.forEach((function(r,n){for(var i,a,o,s,l=r.site,c=r.edges.sort(qe),u=-1,f=c.length,h=c[f-1].edge,p=h.l===l?h.r:h.l;++u<f;)h,i=p,p=(h=c[u].edge).l===l?h.r:h.l,n<i.i&&n<p.i&&(o=i,s=p,((a=l).x-s.x)*(o.y-a.y)-(a.x-o.x)*(s.y-a.y)<0)&&e.push([t[n],t[i.i],t[p.i]])})),e},o.x=function(t){return arguments.length?(n=ce(e=t),o):e},o.y=function(t){return arguments.length?(i=ce(r=t),o):r},o.clipExtent=function(t){return arguments.length?(a=null==t?sr:t,o):a===sr?null:a},o.size=function(t){return arguments.length?o.clipExtent(t&&[[0,0],t]):a===sr?null:a&&a[1]},o};var sr=[[-1e6,-1e6],[1e6,1e6]];function lr(t){return t.x}function cr(t){return t.y}function ur(t,e,r,n,i,a){if(!t(e,r,n,i,a)){var o=.5*(r+i),s=.5*(n+a),l=e.nodes;l[0]&&ur(t,l[0],r,n,o,s),l[1]&&ur(t,l[1],o,n,i,s),l[2]&&ur(t,l[2],r,s,o,a),l[3]&&ur(t,l[3],o,s,i,a)}}function fr(t,e,r,n,i,a,o){var s,l=1/0;return function t(c,u,f,h,p){if(!(u>a||f>o||h<n||p<i)){if(d=c.point){var d,m=e-c.x,g=r-c.y,v=m*m+g*g;if(v<l){var y=Math.sqrt(l=v);n=e-y,i=r-y,a=e+y,o=r+y,s=d}}for(var x=c.nodes,b=.5*(u+h),_=.5*(f+p),w=(r>=_)<<1|e>=b,T=w+4;w<T;++w)if(c=x[3&w])switch(3&w){case 0:t(c,u,f,b,_);break;case 1:t(c,b,f,h,_);break;case 2:t(c,u,_,b,p);break;case 3:t(c,b,_,h,p)}}}(t,n,i,a,o),s}function hr(e,r){e=t.rgb(e),r=t.rgb(r);var n=e.r,i=e.g,a=e.b,o=r.r-n,s=r.g-i,l=r.b-a;return function(t){return"#"+re(Math.round(n+o*t))+re(Math.round(i+s*t))+re(Math.round(a+l*t))}}function pr(t,e){var r,n={},i={};for(r in t)r in e?n[r]=yr(t[r],e[r]):i[r]=t[r];for(r in e)r in t||(i[r]=e[r]);return function(t){for(r in n)i[r]=n[r](t);return i}}function dr(t,e){return t=+t,e=+e,function(r){return t*(1-r)+e*r}}function mr(t,e){var r,n,i,a=gr.lastIndex=vr.lastIndex=0,o=-1,s=[],l=[];for(t+="",e+="";(r=gr.exec(t))&&(n=vr.exec(e));)(i=n.index)>a&&(i=e.slice(a,i),s[o]?s[o]+=i:s[++o]=i),(r=r[0])===(n=n[0])?s[o]?s[o]+=n:s[++o]=n:(s[++o]=null,l.push({i:o,x:dr(r,n)})),a=vr.lastIndex;return a<e.length&&(i=e.slice(a),s[o]?s[o]+=i:s[++o]=i),s.length<2?l[0]?(e=l[0].x,function(t){return e(t)+""}):function(){return e}:(e=l.length,function(t){for(var r,n=0;n<e;++n)s[(r=l[n]).i]=r.x(t);return s.join("")})}t.geom.delaunay=function(e){return t.geom.voronoi().triangles(e)},t.geom.quadtree=function(t,e,r,n,i){var a,o=_e,s=we;if(a=arguments.length)return o=lr,s=cr,3===a&&(i=r,n=e,r=e=0),l(t);function l(t){var l,c,u,f,h,p,d,m,g,v=ce(o),x=ce(s);if(null!=e)p=e,d=r,m=n,g=i;else if(m=g=-(p=d=1/0),c=[],u=[],h=t.length,a)for(f=0;f<h;++f)(l=t[f]).x<p&&(p=l.x),l.y<d&&(d=l.y),l.x>m&&(m=l.x),l.y>g&&(g=l.y),c.push(l.x),u.push(l.y);else for(f=0;f<h;++f){var b=+v(l=t[f],f),_=+x(l,f);b<p&&(p=b),_<d&&(d=_),b>m&&(m=b),_>g&&(g=_),c.push(b),u.push(_)}var w=m-p,T=g-d;function k(t,e,r,n,i,a,o,s){if(!isNaN(r)&&!isNaN(n))if(t.leaf){var l=t.x,c=t.y;if(null!=l)if(y(l-r)+y(c-n)<.01)A(t,e,r,n,i,a,o,s);else{var u=t.point;t.x=t.y=t.point=null,A(t,u,l,c,i,a,o,s),A(t,e,r,n,i,a,o,s)}else t.x=r,t.y=n,t.point=e}else A(t,e,r,n,i,a,o,s)}function A(t,e,r,n,i,a,o,s){var l=.5*(i+o),c=.5*(a+s),u=r>=l,f=n>=c,h=f<<1|u;t.leaf=!1,u?i=l:o=l,f?a=c:s=c,k(t=t.nodes[h]||(t.nodes[h]={leaf:!0,nodes:[],point:null,x:null,y:null}),e,r,n,i,a,o,s)}w>T?g=d+w:m=p+T;var M={leaf:!0,nodes:[],point:null,x:null,y:null,add:function(t){k(M,t,+v(t,++f),+x(t,f),p,d,m,g)},visit:function(t){ur(t,M,p,d,m,g)},find:function(t){return fr(M,t[0],t[1],p,d,m,g)}};if(f=-1,null==e){for(;++f<h;)k(M,t[f],c[f],u[f],p,d,m,g);--f}else t.forEach(M.add);return c=u=t=l=null,M}return l.x=function(t){return arguments.length?(o=t,l):o},l.y=function(t){return arguments.length?(s=t,l):s},l.extent=function(t){return arguments.length?(null==t?e=r=n=i=null:(e=+t[0][0],r=+t[0][1],n=+t[1][0],i=+t[1][1]),l):null==e?null:[[e,r],[n,i]]},l.size=function(t){return arguments.length?(null==t?e=r=n=i=null:(e=r=0,n=+t[0],i=+t[1]),l):null==e?null:[n-e,i-r]},l},t.interpolateRgb=hr,t.interpolateObject=pr,t.interpolateNumber=dr,t.interpolateString=mr;var gr=/[-+]?(?:\d+\.?\d*|\.?\d+)(?:[eE][-+]?\d+)?/g,vr=new RegExp(gr.source,"g");function yr(e,r){for(var n,i=t.interpolators.length;--i>=0&&!(n=t.interpolators[i](e,r)););return n}function xr(t,e){var r,n=[],i=[],a=t.length,o=e.length,s=Math.min(t.length,e.length);for(r=0;r<s;++r)n.push(yr(t[r],e[r]));for(;r<a;++r)i[r]=t[r];for(;r<o;++r)i[r]=e[r];return function(t){for(r=0;r<s;++r)i[r]=n[r](t);return i}}t.interpolate=yr,t.interpolators=[function(t,e){var r=typeof e;return("string"===r?le.has(e.toLowerCase())||/^(#|rgb\(|hsl\()/i.test(e)?hr:mr:e instanceof Ft?hr:Array.isArray(e)?xr:"object"===r&&isNaN(e)?pr:dr)(t,e)}],t.interpolateArray=xr;var br=function(){return C},_r=t.map({linear:br,poly:function(t){return function(e){return Math.pow(e,t)}},quad:function(){return Mr},cubic:function(){return Sr},sin:function(){return Lr},exp:function(){return Cr},circle:function(){return Pr},elastic:function(t,e){var r;arguments.length<2&&(e=.45);arguments.length?r=e/Mt*Math.asin(1/t):(t=1,r=e/4);return function(n){return 1+t*Math.pow(2,-10*n)*Math.sin((n-r)*Mt/e)}},back:function(t){t||(t=1.70158);return function(e){return e*e*((t+1)*e-t)}},bounce:function(){return Ir}}),wr=t.map({in:C,out:kr,"in-out":Ar,"out-in":function(t){return Ar(kr(t))}});function Tr(t){return function(e){return e<=0?0:e>=1?1:t(e)}}function kr(t){return function(e){return 1-t(1-e)}}function Ar(t){return function(e){return.5*(e<.5?t(2*e):2-t(2-2*e))}}function Mr(t){return t*t}function Sr(t){return t*t*t}function Er(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}function Lr(t){return 1-Math.cos(t*Et)}function Cr(t){return Math.pow(2,10*(t-1))}function Pr(t){return 1-Math.sqrt(1-t*t)}function Ir(t){return t<1/2.75?7.5625*t*t:t<2/2.75?7.5625*(t-=1.5/2.75)*t+.75:t<2.5/2.75?7.5625*(t-=2.25/2.75)*t+.9375:7.5625*(t-=2.625/2.75)*t+.984375}function Or(t,e){return e-=t,function(r){return Math.round(t+e*r)}}function zr(t){var e,r,n,i=[t.a,t.b],a=[t.c,t.d],o=Rr(i),s=Dr(i,a),l=Rr(((e=a)[0]+=(n=-s)*(r=i)[0],e[1]+=n*r[1],e))||0;i[0]*a[1]<a[0]*i[1]&&(i[0]*=-1,i[1]*=-1,o*=-1,s*=-1),this.rotate=(o?Math.atan2(i[1],i[0]):Math.atan2(-a[0],a[1]))*Ct,this.translate=[t.e,t.f],this.scale=[o,l],this.skew=l?Math.atan2(s,l)*Ct:0}function Dr(t,e){return t[0]*e[0]+t[1]*e[1]}function Rr(t){var e=Math.sqrt(Dr(t,t));return e&&(t[0]/=e,t[1]/=e),e}t.ease=function(t){var e=t.indexOf("-"),n=e>=0?t.slice(0,e):t,i=e>=0?t.slice(e+1):"in";return n=_r.get(n)||br,Tr((i=wr.get(i)||C)(n.apply(null,r.call(arguments,1))))},t.interpolateHcl=function(e,r){e=t.hcl(e),r=t.hcl(r);var n=e.h,i=e.c,a=e.l,o=r.h-n,s=r.c-i,l=r.l-a;isNaN(s)&&(s=0,i=isNaN(i)?r.c:i);isNaN(o)?(o=0,n=isNaN(n)?r.h:n):o>180?o-=360:o<-180&&(o+=360);return function(t){return Ht(n+o*t,i+s*t,a+l*t)+""}},t.interpolateHsl=function(e,r){e=t.hsl(e),r=t.hsl(r);var n=e.h,i=e.s,a=e.l,o=r.h-n,s=r.s-i,l=r.l-a;isNaN(s)&&(s=0,i=isNaN(i)?r.s:i);isNaN(o)?(o=0,n=isNaN(n)?r.h:n):o>180?o-=360:o<-180&&(o+=360);return function(t){return jt(n+o*t,i+s*t,a+l*t)+""}},t.interpolateLab=function(e,r){e=t.lab(e),r=t.lab(r);var n=e.l,i=e.a,a=e.b,o=r.l-n,s=r.a-i,l=r.b-a;return function(t){return Wt(n+o*t,i+s*t,a+l*t)+""}},t.interpolateRound=Or,t.transform=function(e){var r=i.createElementNS(t.ns.prefix.svg,"g");return(t.transform=function(t){if(null!=t){r.setAttribute("transform",t);var e=r.transform.baseVal.consolidate()}return new zr(e?e.matrix:Fr)})(e)},zr.prototype.toString=function(){return"translate("+this.translate+")rotate("+this.rotate+")skewX("+this.skew+")scale("+this.scale+")"};var Fr={a:1,b:0,c:0,d:1,e:0,f:0};function Br(t){return t.length?t.pop()+",":""}function Nr(e,r){var n=[],i=[];return e=t.transform(e),r=t.transform(r),function(t,e,r,n){if(t[0]!==e[0]||t[1]!==e[1]){var i=r.push("translate(",null,",",null,")");n.push({i:i-4,x:dr(t[0],e[0])},{i:i-2,x:dr(t[1],e[1])})}else(e[0]||e[1])&&r.push("translate("+e+")")}(e.translate,r.translate,n,i),function(t,e,r,n){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),n.push({i:r.push(Br(r)+"rotate(",null,")")-2,x:dr(t,e)})):e&&r.push(Br(r)+"rotate("+e+")")}(e.rotate,r.rotate,n,i),function(t,e,r,n){t!==e?n.push({i:r.push(Br(r)+"skewX(",null,")")-2,x:dr(t,e)}):e&&r.push(Br(r)+"skewX("+e+")")}(e.skew,r.skew,n,i),function(t,e,r,n){if(t[0]!==e[0]||t[1]!==e[1]){var i=r.push(Br(r)+"scale(",null,",",null,")");n.push({i:i-4,x:dr(t[0],e[0])},{i:i-2,x:dr(t[1],e[1])})}else 1===e[0]&&1===e[1]||r.push(Br(r)+"scale("+e+")")}(e.scale,r.scale,n,i),e=r=null,function(t){for(var e,r=-1,a=i.length;++r<a;)n[(e=i[r]).i]=e.x(t);return n.join("")}}function jr(t,e){return e=(e-=t=+t)||1/e,function(r){return(r-t)/e}}function Ur(t,e){return e=(e-=t=+t)||1/e,function(r){return Math.max(0,Math.min(1,(r-t)/e))}}function Vr(t){for(var e=t.source,r=t.target,n=function(t,e){if(t===e)return t;var r=Hr(t),n=Hr(e),i=r.pop(),a=n.pop(),o=null;for(;i===a;)o=i,i=r.pop(),a=n.pop();return o}(e,r),i=[e];e!==n;)e=e.parent,i.push(e);for(var a=i.length;r!==n;)i.splice(a,0,r),r=r.parent;return i}function Hr(t){for(var e=[],r=t.parent;null!=r;)e.push(t),t=r,r=r.parent;return e.push(t),e}function qr(t){t.fixed|=2}function Gr(t){t.fixed&=-7}function Yr(t){t.fixed|=4,t.px=t.x,t.py=t.y}function Wr(t){t.fixed&=-5}t.interpolateTransform=Nr,t.layout={},t.layout.bundle=function(){return function(t){for(var e=[],r=-1,n=t.length;++r<n;)e.push(Vr(t[r]));return e}},t.layout.chord=function(){var e,r,n,i,a,o,s,l={},c=0;function u(){var l,u,h,p,d,m={},g=[],v=t.range(i),y=[];for(e=[],r=[],l=0,p=-1;++p<i;){for(u=0,d=-1;++d<i;)u+=n[p][d];g.push(u),y.push(t.range(i)),l+=u}for(a&&v.sort((function(t,e){return a(g[t],g[e])})),o&&y.forEach((function(t,e){t.sort((function(t,r){return o(n[e][t],n[e][r])}))})),l=(Mt-c*i)/l,u=0,p=-1;++p<i;){for(h=u,d=-1;++d<i;){var x=v[p],b=y[x][d],_=n[x][b],w=u,T=u+=_*l;m[x+"-"+b]={index:x,subindex:b,startAngle:w,endAngle:T,value:_}}r[x]={index:x,startAngle:h,endAngle:u,value:g[x]},u+=c}for(p=-1;++p<i;)for(d=p-1;++d<i;){var k=m[p+"-"+d],A=m[d+"-"+p];(k.value||A.value)&&e.push(k.value<A.value?{source:A,target:k}:{source:k,target:A})}s&&f()}function f(){e.sort((function(t,e){return s((t.source.value+t.target.value)/2,(e.source.value+e.target.value)/2)}))}return l.matrix=function(t){return arguments.length?(i=(n=t)&&n.length,e=r=null,l):n},l.padding=function(t){return arguments.length?(c=t,e=r=null,l):c},l.sortGroups=function(t){return arguments.length?(a=t,e=r=null,l):a},l.sortSubgroups=function(t){return arguments.length?(o=t,e=null,l):o},l.sortChords=function(t){return arguments.length?(s=t,e&&f(),l):s},l.chords=function(){return e||u(),e},l.groups=function(){return r||u(),r},l},t.layout.force=function(){var e,r,n,i,a,o,s={},l=t.dispatch("start","tick","end"),c=[1,1],u=.9,f=Xr,h=Zr,p=-30,d=Jr,m=.1,g=.64,v=[],y=[];function x(t){return function(e,r,n,i){if(e.point!==t){var a=e.cx-t.x,o=e.cy-t.y,s=i-r,l=a*a+o*o;if(s*s/g<l){if(l<d){var c=e.charge/l;t.px-=a*c,t.py-=o*c}return!0}if(e.point&&l&&l<d){c=e.pointCharge/l;t.px-=a*c,t.py-=o*c}}return!e.charge}}function b(e){e.px=t.event.x,e.py=t.event.y,s.resume()}return s.tick=function(){if((n*=.99)<.005)return e=null,l.end({type:"end",alpha:n=0}),!0;var r,s,f,h,d,g,b,_,w,T=v.length,k=y.length;for(s=0;s<k;++s)h=(f=y[s]).source,(g=(_=(d=f.target).x-h.x)*_+(w=d.y-h.y)*w)&&(_*=g=n*a[s]*((g=Math.sqrt(g))-i[s])/g,w*=g,d.x-=_*(b=h.weight+d.weight?h.weight/(h.weight+d.weight):.5),d.y-=w*b,h.x+=_*(b=1-b),h.y+=w*b);if((b=n*m)&&(_=c[0]/2,w=c[1]/2,s=-1,b))for(;++s<T;)(f=v[s]).x+=(_-f.x)*b,f.y+=(w-f.y)*b;if(p)for(!function t(e,r,n){var i=0,a=0;if(e.charge=0,!e.leaf)for(var o,s=e.nodes,l=s.length,c=-1;++c<l;)null!=(o=s[c])&&(t(o,r,n),e.charge+=o.charge,i+=o.charge*o.cx,a+=o.charge*o.cy);if(e.point){e.leaf||(e.point.x+=Math.random()-.5,e.point.y+=Math.random()-.5);var u=r*n[e.point.index];e.charge+=e.pointCharge=u,i+=u*e.point.x,a+=u*e.point.y}e.cx=i/e.charge,e.cy=a/e.charge}(r=t.geom.quadtree(v),n,o),s=-1;++s<T;)(f=v[s]).fixed||r.visit(x(f));for(s=-1;++s<T;)(f=v[s]).fixed?(f.x=f.px,f.y=f.py):(f.x-=(f.px-(f.px=f.x))*u,f.y-=(f.py-(f.py=f.y))*u);l.tick({type:"tick",alpha:n})},s.nodes=function(t){return arguments.length?(v=t,s):v},s.links=function(t){return arguments.length?(y=t,s):y},s.size=function(t){return arguments.length?(c=t,s):c},s.linkDistance=function(t){return arguments.length?(f="function"==typeof t?t:+t,s):f},s.distance=s.linkDistance,s.linkStrength=function(t){return arguments.length?(h="function"==typeof t?t:+t,s):h},s.friction=function(t){return arguments.length?(u=+t,s):u},s.charge=function(t){return arguments.length?(p="function"==typeof t?t:+t,s):p},s.chargeDistance=function(t){return arguments.length?(d=t*t,s):Math.sqrt(d)},s.gravity=function(t){return arguments.length?(m=+t,s):m},s.theta=function(t){return arguments.length?(g=t*t,s):Math.sqrt(g)},s.alpha=function(t){return arguments.length?(t=+t,n?t>0?n=t:(e.c=null,e.t=NaN,e=null,l.end({type:"end",alpha:n=0})):t>0&&(l.start({type:"start",alpha:n=t}),e=ve(s.tick)),s):n},s.start=function(){var t,e,r,n=v.length,l=y.length,u=c[0],d=c[1];for(t=0;t<n;++t)(r=v[t]).index=t,r.weight=0;for(t=0;t<l;++t)"number"==typeof(r=y[t]).source&&(r.source=v[r.source]),"number"==typeof r.target&&(r.target=v[r.target]),++r.source.weight,++r.target.weight;for(t=0;t<n;++t)r=v[t],isNaN(r.x)&&(r.x=m("x",u)),isNaN(r.y)&&(r.y=m("y",d)),isNaN(r.px)&&(r.px=r.x),isNaN(r.py)&&(r.py=r.y);if(i=[],"function"==typeof f)for(t=0;t<l;++t)i[t]=+f.call(this,y[t],t);else for(t=0;t<l;++t)i[t]=f;if(a=[],"function"==typeof h)for(t=0;t<l;++t)a[t]=+h.call(this,y[t],t);else for(t=0;t<l;++t)a[t]=h;if(o=[],"function"==typeof p)for(t=0;t<n;++t)o[t]=+p.call(this,v[t],t);else for(t=0;t<n;++t)o[t]=p;function m(r,i){if(!e){for(e=new Array(n),c=0;c<n;++c)e[c]=[];for(c=0;c<l;++c){var a=y[c];e[a.source.index].push(a.target),e[a.target.index].push(a.source)}}for(var o,s=e[t],c=-1,u=s.length;++c<u;)if(!isNaN(o=s[c][r]))return o;return Math.random()*i}return s.resume()},s.resume=function(){return s.alpha(.1)},s.stop=function(){return s.alpha(0)},s.drag=function(){if(r||(r=t.behavior.drag().origin(C).on("dragstart.force",qr).on("drag.force",b).on("dragend.force",Gr)),!arguments.length)return r;this.on("mouseover.force",Yr).on("mouseout.force",Wr).call(r)},t.rebind(s,l,"on")};var Xr=20,Zr=1,Jr=1/0;function Kr(e,r){return t.rebind(e,r,"sort","children","value"),e.nodes=e,e.links=nn,e}function Qr(t,e){for(var r=[t];null!=(t=r.pop());)if(e(t),(i=t.children)&&(n=i.length))for(var n,i;--n>=0;)r.push(i[n])}function $r(t,e){for(var r=[t],n=[];null!=(t=r.pop());)if(n.push(t),(a=t.children)&&(i=a.length))for(var i,a,o=-1;++o<i;)r.push(a[o]);for(;null!=(t=n.pop());)e(t)}function tn(t){return t.children}function en(t){return t.value}function rn(t,e){return e.value-t.value}function nn(e){return t.merge(e.map((function(t){return(t.children||[]).map((function(e){return{source:t,target:e}}))})))}t.layout.hierarchy=function(){var t=rn,e=tn,r=en;function n(i){var a,o=[i],s=[];for(i.depth=0;null!=(a=o.pop());)if(s.push(a),(c=e.call(n,a,a.depth))&&(l=c.length)){for(var l,c,u;--l>=0;)o.push(u=c[l]),u.parent=a,u.depth=a.depth+1;r&&(a.value=0),a.children=c}else r&&(a.value=+r.call(n,a,a.depth)||0),delete a.children;return $r(i,(function(e){var n,i;t&&(n=e.children)&&n.sort(t),r&&(i=e.parent)&&(i.value+=e.value)})),s}return n.sort=function(e){return arguments.length?(t=e,n):t},n.children=function(t){return arguments.length?(e=t,n):e},n.value=function(t){return arguments.length?(r=t,n):r},n.revalue=function(t){return r&&(Qr(t,(function(t){t.children&&(t.value=0)})),$r(t,(function(t){var e;t.children||(t.value=+r.call(n,t,t.depth)||0),(e=t.parent)&&(e.value+=t.value)}))),t},n},t.layout.partition=function(){var e=t.layout.hierarchy(),r=[1,1];function n(t,n){var i=e.call(this,t,n);return function t(e,r,n,i){var a=e.children;if(e.x=r,e.y=e.depth*i,e.dx=n,e.dy=i,a&&(o=a.length)){var o,s,l,c=-1;for(n=e.value?n/e.value:0;++c<o;)t(s=a[c],r,l=s.value*n,i),r+=l}}(i[0],0,r[0],r[1]/function t(e){var r=e.children,n=0;if(r&&(i=r.length))for(var i,a=-1;++a<i;)n=Math.max(n,t(r[a]));return 1+n}(i[0])),i}return n.size=function(t){return arguments.length?(r=t,n):r},Kr(n,e)},t.layout.pie=function(){var e=Number,r=an,n=0,i=Mt,a=0;function o(s){var l,c=s.length,u=s.map((function(t,r){return+e.call(o,t,r)})),f=+("function"==typeof n?n.apply(this,arguments):n),h=("function"==typeof i?i.apply(this,arguments):i)-f,p=Math.min(Math.abs(h)/c,+("function"==typeof a?a.apply(this,arguments):a)),d=p*(h<0?-1:1),m=t.sum(u),g=m?(h-c*d)/m:0,v=t.range(c),y=[];return null!=r&&v.sort(r===an?function(t,e){return u[e]-u[t]}:function(t,e){return r(s[t],s[e])}),v.forEach((function(t){y[t]={data:s[t],value:l=u[t],startAngle:f,endAngle:f+=l*g+d,padAngle:p}})),y}return o.value=function(t){return arguments.length?(e=t,o):e},o.sort=function(t){return arguments.length?(r=t,o):r},o.startAngle=function(t){return arguments.length?(n=t,o):n},o.endAngle=function(t){return arguments.length?(i=t,o):i},o.padAngle=function(t){return arguments.length?(a=t,o):a},o};var an={};function on(t){return t.x}function sn(t){return t.y}function ln(t,e,r){t.y0=e,t.y=r}t.layout.stack=function(){var e=C,r=fn,n=hn,i=ln,a=on,o=sn;function s(l,c){if(!(p=l.length))return l;var u=l.map((function(t,r){return e.call(s,t,r)})),f=u.map((function(t){return t.map((function(t,e){return[a.call(s,t,e),o.call(s,t,e)]}))})),h=r.call(s,f,c);u=t.permute(u,h),f=t.permute(f,h);var p,d,m,g,v=n.call(s,f,c),y=u[0].length;for(m=0;m<y;++m)for(i.call(s,u[0][m],g=v[m],f[0][m][1]),d=1;d<p;++d)i.call(s,u[d][m],g+=f[d-1][m][1],f[d][m][1]);return l}return s.values=function(t){return arguments.length?(e=t,s):e},s.order=function(t){return arguments.length?(r="function"==typeof t?t:cn.get(t)||fn,s):r},s.offset=function(t){return arguments.length?(n="function"==typeof t?t:un.get(t)||hn,s):n},s.x=function(t){return arguments.length?(a=t,s):a},s.y=function(t){return arguments.length?(o=t,s):o},s.out=function(t){return arguments.length?(i=t,s):i},s};var cn=t.map({"inside-out":function(e){var r,n,i=e.length,a=e.map(pn),o=e.map(dn),s=t.range(i).sort((function(t,e){return a[t]-a[e]})),l=0,c=0,u=[],f=[];for(r=0;r<i;++r)n=s[r],l<c?(l+=o[n],u.push(n)):(c+=o[n],f.push(n));return f.reverse().concat(u)},reverse:function(e){return t.range(e.length).reverse()},default:fn}),un=t.map({silhouette:function(t){var e,r,n,i=t.length,a=t[0].length,o=[],s=0,l=[];for(r=0;r<a;++r){for(e=0,n=0;e<i;e++)n+=t[e][r][1];n>s&&(s=n),o.push(n)}for(r=0;r<a;++r)l[r]=(s-o[r])/2;return l},wiggle:function(t){var e,r,n,i,a,o,s,l,c,u=t.length,f=t[0],h=f.length,p=[];for(p[0]=l=c=0,r=1;r<h;++r){for(e=0,i=0;e<u;++e)i+=t[e][r][1];for(e=0,a=0,s=f[r][0]-f[r-1][0];e<u;++e){for(n=0,o=(t[e][r][1]-t[e][r-1][1])/(2*s);n<e;++n)o+=(t[n][r][1]-t[n][r-1][1])/s;a+=o*t[e][r][1]}p[r]=l-=i?a/i*s:0,l<c&&(c=l)}for(r=0;r<h;++r)p[r]-=c;return p},expand:function(t){var e,r,n,i=t.length,a=t[0].length,o=1/i,s=[];for(r=0;r<a;++r){for(e=0,n=0;e<i;e++)n+=t[e][r][1];if(n)for(e=0;e<i;e++)t[e][r][1]/=n;else for(e=0;e<i;e++)t[e][r][1]=o}for(r=0;r<a;++r)s[r]=0;return s},zero:hn});function fn(e){return t.range(e.length)}function hn(t){for(var e=-1,r=t[0].length,n=[];++e<r;)n[e]=0;return n}function pn(t){for(var e,r=1,n=0,i=t[0][1],a=t.length;r<a;++r)(e=t[r][1])>i&&(n=r,i=e);return n}function dn(t){return t.reduce(mn,0)}function mn(t,e){return t+e[1]}function gn(t,e){return vn(t,Math.ceil(Math.log(e.length)/Math.LN2+1))}function vn(t,e){for(var r=-1,n=+t[0],i=(t[1]-n)/e,a=[];++r<=e;)a[r]=i*r+n;return a}function yn(e){return[t.min(e),t.max(e)]}function xn(t,e){return t.value-e.value}function bn(t,e){var r=t._pack_next;t._pack_next=e,e._pack_prev=t,e._pack_next=r,r._pack_prev=e}function _n(t,e){t._pack_next=e,e._pack_prev=t}function wn(t,e){var r=e.x-t.x,n=e.y-t.y,i=t.r+e.r;return.999*i*i>r*r+n*n}function Tn(t){if((e=t.children)&&(l=e.length)){var e,r,n,i,a,o,s,l,c=1/0,u=-1/0,f=1/0,h=-1/0;if(e.forEach(kn),(r=e[0]).x=-r.r,r.y=0,x(r),l>1&&((n=e[1]).x=n.r,n.y=0,x(n),l>2))for(Mn(r,n,i=e[2]),x(i),bn(r,i),r._pack_prev=i,bn(i,n),n=r._pack_next,a=3;a<l;a++){Mn(r,n,i=e[a]);var p=0,d=1,m=1;for(o=n._pack_next;o!==n;o=o._pack_next,d++)if(wn(o,i)){p=1;break}if(1==p)for(s=r._pack_prev;s!==o._pack_prev&&!wn(s,i);s=s._pack_prev,m++);p?(d<m||d==m&&n.r<r.r?_n(r,n=o):_n(r=s,n),a--):(bn(r,i),n=i,x(i))}var g=(c+u)/2,v=(f+h)/2,y=0;for(a=0;a<l;a++)(i=e[a]).x-=g,i.y-=v,y=Math.max(y,i.r+Math.sqrt(i.x*i.x+i.y*i.y));t.r=y,e.forEach(An)}function x(t){c=Math.min(t.x-t.r,c),u=Math.max(t.x+t.r,u),f=Math.min(t.y-t.r,f),h=Math.max(t.y+t.r,h)}}function kn(t){t._pack_next=t._pack_prev=t}function An(t){delete t._pack_next,delete t._pack_prev}function Mn(t,e,r){var n=t.r+r.r,i=e.x-t.x,a=e.y-t.y;if(n&&(i||a)){var o=e.r+r.r,s=i*i+a*a,l=.5+((n*=n)-(o*=o))/(2*s),c=Math.sqrt(Math.max(0,2*o*(n+s)-(n-=s)*n-o*o))/(2*s);r.x=t.x+l*i+c*a,r.y=t.y+l*a-c*i}else r.x=t.x+n,r.y=t.y}function Sn(t,e){return t.parent==e.parent?1:2}function En(t){var e=t.children;return e.length?e[0]:t.t}function Ln(t){var e,r=t.children;return(e=r.length)?r[e-1]:t.t}function Cn(t,e,r){var n=r/(e.i-t.i);e.c-=n,e.s+=r,t.c+=n,e.z+=r,e.m+=r}function Pn(t,e,r){return t.a.parent===e.parent?t.a:r}function In(t){return{x:t.x,y:t.y,dx:t.dx,dy:t.dy}}function On(t,e){var r=t.x+e[3],n=t.y+e[0],i=t.dx-e[1]-e[3],a=t.dy-e[0]-e[2];return i<0&&(r+=i/2,i=0),a<0&&(n+=a/2,a=0),{x:r,y:n,dx:i,dy:a}}function zn(t){var e=t[0],r=t[t.length-1];return e<r?[e,r]:[r,e]}function Dn(t){return t.rangeExtent?t.rangeExtent():zn(t.range())}function Rn(t,e,r,n){var i=r(t[0],t[1]),a=n(e[0],e[1]);return function(t){return a(i(t))}}function Fn(t,e){var r,n=0,i=t.length-1,a=t[n],o=t[i];return o<a&&(r=n,n=i,i=r,r=a,a=o,o=r),t[n]=e.floor(a),t[i]=e.ceil(o),t}function Bn(t){return t?{floor:function(e){return Math.floor(e/t)*t},ceil:function(e){return Math.ceil(e/t)*t}}:Nn}t.layout.histogram=function(){var e=!0,r=Number,n=yn,i=gn;function a(a,o){for(var s,l,c=[],u=a.map(r,this),f=n.call(this,u,o),h=i.call(this,f,u,o),p=(o=-1,u.length),d=h.length-1,m=e?1:1/p;++o<d;)(s=c[o]=[]).dx=h[o+1]-(s.x=h[o]),s.y=0;if(d>0)for(o=-1;++o<p;)(l=u[o])>=f[0]&&l<=f[1]&&((s=c[t.bisect(h,l,1,d)-1]).y+=m,s.push(a[o]));return c}return a.value=function(t){return arguments.length?(r=t,a):r},a.range=function(t){return arguments.length?(n=ce(t),a):n},a.bins=function(t){return arguments.length?(i="number"==typeof t?function(e){return vn(e,t)}:ce(t),a):i},a.frequency=function(t){return arguments.length?(e=!!t,a):e},a},t.layout.pack=function(){var e,r=t.layout.hierarchy().sort(xn),n=0,i=[1,1];function a(t,a){var o=r.call(this,t,a),s=o[0],l=i[0],c=i[1],u=null==e?Math.sqrt:"function"==typeof e?e:function(){return e};if(s.x=s.y=0,$r(s,(function(t){t.r=+u(t.value)})),$r(s,Tn),n){var f=n*(e?1:Math.max(2*s.r/l,2*s.r/c))/2;$r(s,(function(t){t.r+=f})),$r(s,Tn),$r(s,(function(t){t.r-=f}))}return function t(e,r,n,i){var a=e.children;if(e.x=r+=i*e.x,e.y=n+=i*e.y,e.r*=i,a)for(var o=-1,s=a.length;++o<s;)t(a[o],r,n,i)}(s,l/2,c/2,e?1:1/Math.max(2*s.r/l,2*s.r/c)),o}return a.size=function(t){return arguments.length?(i=t,a):i},a.radius=function(t){return arguments.length?(e=null==t||"function"==typeof t?t:+t,a):e},a.padding=function(t){return arguments.length?(n=+t,a):n},Kr(a,r)},t.layout.tree=function(){var e=t.layout.hierarchy().sort(null).value(null),r=Sn,n=[1,1],i=null;function a(t,a){var c=e.call(this,t,a),u=c[0],f=function(t){var e,r={A:null,children:[t]},n=[r];for(;null!=(e=n.pop());)for(var i,a=e.children,o=0,s=a.length;o<s;++o)n.push((a[o]=i={_:a[o],parent:e,children:(i=a[o].children)&&i.slice()||[],A:null,a:null,z:0,m:0,c:0,s:0,t:null,i:o}).a=i);return r.children[0]}(u);if($r(f,o),f.parent.m=-f.z,Qr(f,s),i)Qr(u,l);else{var h=u,p=u,d=u;Qr(u,(function(t){t.x<h.x&&(h=t),t.x>p.x&&(p=t),t.depth>d.depth&&(d=t)}));var m=r(h,p)/2-h.x,g=n[0]/(p.x+r(p,h)/2+m),v=n[1]/(d.depth||1);Qr(u,(function(t){t.x=(t.x+m)*g,t.y=t.depth*v}))}return c}function o(t){var e=t.children,n=t.parent.children,i=t.i?n[t.i-1]:null;if(e.length){!function(t){var e,r=0,n=0,i=t.children,a=i.length;for(;--a>=0;)(e=i[a]).z+=r,e.m+=r,r+=e.s+(n+=e.c)}(t);var a=(e[0].z+e[e.length-1].z)/2;i?(t.z=i.z+r(t._,i._),t.m=t.z-a):t.z=a}else i&&(t.z=i.z+r(t._,i._));t.parent.A=function(t,e,n){if(e){for(var i,a=t,o=t,s=e,l=a.parent.children[0],c=a.m,u=o.m,f=s.m,h=l.m;s=Ln(s),a=En(a),s&&a;)l=En(l),(o=Ln(o)).a=t,(i=s.z+f-a.z-c+r(s._,a._))>0&&(Cn(Pn(s,t,n),t,i),c+=i,u+=i),f+=s.m,c+=a.m,h+=l.m,u+=o.m;s&&!Ln(o)&&(o.t=s,o.m+=f-u),a&&!En(l)&&(l.t=a,l.m+=c-h,n=t)}return n}(t,i,t.parent.A||n[0])}function s(t){t._.x=t.z+t.parent.m,t.m+=t.parent.m}function l(t){t.x*=n[0],t.y=t.depth*n[1]}return a.separation=function(t){return arguments.length?(r=t,a):r},a.size=function(t){return arguments.length?(i=null==(n=t)?l:null,a):i?null:n},a.nodeSize=function(t){return arguments.length?(i=null==(n=t)?null:l,a):i?n:null},Kr(a,e)},t.layout.cluster=function(){var e=t.layout.hierarchy().sort(null).value(null),r=Sn,n=[1,1],i=!1;function a(a,o){var s,l=e.call(this,a,o),c=l[0],u=0;$r(c,(function(e){var n=e.children;n&&n.length?(e.x=function(t){return t.reduce((function(t,e){return t+e.x}),0)/t.length}(n),e.y=function(e){return 1+t.max(e,(function(t){return t.y}))}(n)):(e.x=s?u+=r(e,s):0,e.y=0,s=e)}));var f=function t(e){var r=e.children;return r&&r.length?t(r[0]):e}(c),h=function t(e){var r,n=e.children;return n&&(r=n.length)?t(n[r-1]):e}(c),p=f.x-r(f,h)/2,d=h.x+r(h,f)/2;return $r(c,i?function(t){t.x=(t.x-c.x)*n[0],t.y=(c.y-t.y)*n[1]}:function(t){t.x=(t.x-p)/(d-p)*n[0],t.y=(1-(c.y?t.y/c.y:1))*n[1]}),l}return a.separation=function(t){return arguments.length?(r=t,a):r},a.size=function(t){return arguments.length?(i=null==(n=t),a):i?null:n},a.nodeSize=function(t){return arguments.length?(i=null!=(n=t),a):i?n:null},Kr(a,e)},t.layout.treemap=function(){var e,r=t.layout.hierarchy(),n=Math.round,i=[1,1],a=null,o=In,s=!1,l="squarify",c=.5*(1+Math.sqrt(5));function u(t,e){for(var r,n,i=-1,a=t.length;++i<a;)n=(r=t[i]).value*(e<0?0:e),r.area=isNaN(n)||n<=0?0:n}function f(t){var e=t.children;if(e&&e.length){var r,n,i,a=o(t),s=[],c=e.slice(),h=1/0,m="slice"===l?a.dx:"dice"===l?a.dy:"slice-dice"===l?1&t.depth?a.dy:a.dx:Math.min(a.dx,a.dy);for(u(c,a.dx*a.dy/t.value),s.area=0;(i=c.length)>0;)s.push(r=c[i-1]),s.area+=r.area,"squarify"!==l||(n=p(s,m))<=h?(c.pop(),h=n):(s.area-=s.pop().area,d(s,m,a,!1),m=Math.min(a.dx,a.dy),s.length=s.area=0,h=1/0);s.length&&(d(s,m,a,!0),s.length=s.area=0),e.forEach(f)}}function h(t){var e=t.children;if(e&&e.length){var r,n=o(t),i=e.slice(),a=[];for(u(i,n.dx*n.dy/t.value),a.area=0;r=i.pop();)a.push(r),a.area+=r.area,null!=r.z&&(d(a,r.z?n.dx:n.dy,n,!i.length),a.length=a.area=0);e.forEach(h)}}function p(t,e){for(var r,n=t.area,i=0,a=1/0,o=-1,s=t.length;++o<s;)(r=t[o].area)&&(r<a&&(a=r),r>i&&(i=r));return e*=e,(n*=n)?Math.max(e*i*c/n,n/(e*a*c)):1/0}function d(t,e,r,i){var a,o=-1,s=t.length,l=r.x,c=r.y,u=e?n(t.area/e):0;if(e==r.dx){for((i||u>r.dy)&&(u=r.dy);++o<s;)(a=t[o]).x=l,a.y=c,a.dy=u,l+=a.dx=Math.min(r.x+r.dx-l,u?n(a.area/u):0);a.z=!0,a.dx+=r.x+r.dx-l,r.y+=u,r.dy-=u}else{for((i||u>r.dx)&&(u=r.dx);++o<s;)(a=t[o]).x=l,a.y=c,a.dx=u,c+=a.dy=Math.min(r.y+r.dy-c,u?n(a.area/u):0);a.z=!1,a.dy+=r.y+r.dy-c,r.x+=u,r.dx-=u}}function m(t){var n=e||r(t),a=n[0];return a.x=a.y=0,a.value?(a.dx=i[0],a.dy=i[1]):a.dx=a.dy=0,e&&r.revalue(a),u([a],a.dx*a.dy/a.value),(e?h:f)(a),s&&(e=n),n}return m.size=function(t){return arguments.length?(i=t,m):i},m.padding=function(t){if(!arguments.length)return a;function e(e){var r=t.call(m,e,e.depth);return null==r?In(e):On(e,"number"==typeof r?[r,r,r,r]:r)}function r(e){return On(e,t)}var n;return o=null==(a=t)?In:"function"==(n=typeof t)?e:"number"===n?(t=[t,t,t,t],r):r,m},m.round=function(t){return arguments.length?(n=t?Math.round:Number,m):n!=Number},m.sticky=function(t){return arguments.length?(s=t,e=null,m):s},m.ratio=function(t){return arguments.length?(c=t,m):c},m.mode=function(t){return arguments.length?(l=t+"",m):l},Kr(m,r)},t.random={normal:function(t,e){var r=arguments.length;return r<2&&(e=1),r<1&&(t=0),function(){var r,n,i;do{i=(r=2*Math.random()-1)*r+(n=2*Math.random()-1)*n}while(!i||i>1);return t+e*r*Math.sqrt(-2*Math.log(i)/i)}},logNormal:function(){var e=t.random.normal.apply(t,arguments);return function(){return Math.exp(e())}},bates:function(e){var r=t.random.irwinHall(e);return function(){return r()/e}},irwinHall:function(t){return function(){for(var e=0,r=0;r<t;r++)e+=Math.random();return e}}},t.scale={};var Nn={floor:C,ceil:C};function jn(e,r,n,i){var a=[],o=[],s=0,l=Math.min(e.length,r.length)-1;for(e[l]<e[0]&&(e=e.slice().reverse(),r=r.slice().reverse());++s<=l;)a.push(n(e[s-1],e[s])),o.push(i(r[s-1],r[s]));return function(r){var n=t.bisect(e,r,1,l)-1;return o[n](a[n](r))}}function Un(e,r){return t.rebind(e,r,"range","rangeRound","interpolate","clamp")}function Vn(t,e){return Fn(t,Bn(Hn(t,e)[2])),Fn(t,Bn(Hn(t,e)[2])),t}function Hn(t,e){null==e&&(e=10);var r=zn(t),n=r[1]-r[0],i=Math.pow(10,Math.floor(Math.log(n/e)/Math.LN10)),a=e/n*i;return a<=.15?i*=10:a<=.35?i*=5:a<=.75&&(i*=2),r[0]=Math.ceil(r[0]/i)*i,r[1]=Math.floor(r[1]/i)*i+.5*i,r[2]=i,r}function qn(e,r){return t.range.apply(t,Hn(e,r))}t.scale.linear=function(){return function t(e,r,n,i){var a,o;function s(){var t=Math.min(e.length,r.length)>2?jn:Rn,s=i?Ur:jr;return a=t(e,r,s,n),o=t(r,e,s,yr),l}function l(t){return a(t)}return l.invert=function(t){return o(t)},l.domain=function(t){return arguments.length?(e=t.map(Number),s()):e},l.range=function(t){return arguments.length?(r=t,s()):r},l.rangeRound=function(t){return l.range(t).interpolate(Or)},l.clamp=function(t){return arguments.length?(i=t,s()):i},l.interpolate=function(t){return arguments.length?(n=t,s()):n},l.ticks=function(t){return qn(e,t)},l.tickFormat=function(t,r){return d3_scale_linearTickFormat(e,t,r)},l.nice=function(t){return Vn(e,t),s()},l.copy=function(){return t(e,r,n,i)},s()}([0,1],[0,1],yr,!1)};t.scale.log=function(){return function t(e,r,n,i){function a(t){return(n?Math.log(t<0?0:t):-Math.log(t>0?0:-t))/Math.log(r)}function o(t){return n?Math.pow(r,t):-Math.pow(r,-t)}function s(t){return e(a(t))}return s.invert=function(t){return o(e.invert(t))},s.domain=function(t){return arguments.length?(n=t[0]>=0,e.domain((i=t.map(Number)).map(a)),s):i},s.base=function(t){return arguments.length?(r=+t,e.domain(i.map(a)),s):r},s.nice=function(){var t=Fn(i.map(a),n?Math:Gn);return e.domain(t),i=t.map(o),s},s.ticks=function(){var t=zn(i),e=[],s=t[0],l=t[1],c=Math.floor(a(s)),u=Math.ceil(a(l)),f=r%1?2:r;if(isFinite(u-c)){if(n){for(;c<u;c++)for(var h=1;h<f;h++)e.push(o(c)*h);e.push(o(c))}else for(e.push(o(c));c++<u;)for(h=f-1;h>0;h--)e.push(o(c)*h);for(c=0;e[c]<s;c++);for(u=e.length;e[u-1]>l;u--);e=e.slice(c,u)}return e},s.copy=function(){return t(e.copy(),r,n,i)},Un(s,e)}(t.scale.linear().domain([0,1]),10,!0,[1,10])};var Gn={floor:function(t){return-Math.ceil(-t)},ceil:function(t){return-Math.floor(-t)}};function Yn(t){return function(e){return e<0?-Math.pow(-e,t):Math.pow(e,t)}}t.scale.pow=function(){return function t(e,r,n){var i=Yn(r),a=Yn(1/r);function o(t){return e(i(t))}return o.invert=function(t){return a(e.invert(t))},o.domain=function(t){return arguments.length?(e.domain((n=t.map(Number)).map(i)),o):n},o.ticks=function(t){return qn(n,t)},o.tickFormat=function(t,e){return d3_scale_linearTickFormat(n,t,e)},o.nice=function(t){return o.domain(Vn(n,t))},o.exponent=function(t){return arguments.length?(i=Yn(r=t),a=Yn(1/r),e.domain(n.map(i)),o):r},o.copy=function(){return t(e.copy(),r,n)},Un(o,e)}(t.scale.linear(),1,[0,1])},t.scale.sqrt=function(){return t.scale.pow().exponent(.5)},t.scale.ordinal=function(){return function e(r,n){var i,a,o;function s(t){return a[((i.get(t)||("range"===n.t?i.set(t,r.push(t)):NaN))-1)%a.length]}function l(e,n){return t.range(r.length).map((function(t){return e+n*t}))}return s.domain=function(t){if(!arguments.length)return r;r=[],i=new _;for(var e,a=-1,o=t.length;++a<o;)i.has(e=t[a])||i.set(e,r.push(e));return s[n.t].apply(s,n.a)},s.range=function(t){return arguments.length?(a=t,o=0,n={t:"range",a:arguments},s):a},s.rangePoints=function(t,e){arguments.length<2&&(e=0);var i=t[0],c=t[1],u=r.length<2?(i=(i+c)/2,0):(c-i)/(r.length-1+e);return a=l(i+u*e/2,u),o=0,n={t:"rangePoints",a:arguments},s},s.rangeRoundPoints=function(t,e){arguments.length<2&&(e=0);var i=t[0],c=t[1],u=r.length<2?(i=c=Math.round((i+c)/2),0):(c-i)/(r.length-1+e)|0;return a=l(i+Math.round(u*e/2+(c-i-(r.length-1+e)*u)/2),u),o=0,n={t:"rangeRoundPoints",a:arguments},s},s.rangeBands=function(t,e,i){arguments.length<2&&(e=0),arguments.length<3&&(i=e);var c=t[1]<t[0],u=t[c-0],f=t[1-c],h=(f-u)/(r.length-e+2*i);return a=l(u+h*i,h),c&&a.reverse(),o=h*(1-e),n={t:"rangeBands",a:arguments},s},s.rangeRoundBands=function(t,e,i){arguments.length<2&&(e=0),arguments.length<3&&(i=e);var c=t[1]<t[0],u=t[c-0],f=t[1-c],h=Math.floor((f-u)/(r.length-e+2*i));return a=l(u+Math.round((f-u-(r.length-e)*h)/2),h),c&&a.reverse(),o=Math.round(h*(1-e)),n={t:"rangeRoundBands",a:arguments},s},s.rangeBand=function(){return o},s.rangeExtent=function(){return zn(n.a[0])},s.copy=function(){return e(r,n)},s.domain(r)}([],{t:"range",a:[[]]})},t.scale.category10=function(){return t.scale.ordinal().range(Wn)},t.scale.category20=function(){return t.scale.ordinal().range(Xn)},t.scale.category20b=function(){return t.scale.ordinal().range(Zn)},t.scale.category20c=function(){return t.scale.ordinal().range(Jn)};var Wn=[2062260,16744206,2924588,14034728,9725885,9197131,14907330,8355711,12369186,1556175].map(te),Xn=[2062260,11454440,16744206,16759672,2924588,10018698,14034728,16750742,9725885,12955861,9197131,12885140,14907330,16234194,8355711,13092807,12369186,14408589,1556175,10410725].map(te),Zn=[3750777,5395619,7040719,10264286,6519097,9216594,11915115,13556636,9202993,12426809,15186514,15190932,8666169,11356490,14049643,15177372,8077683,10834324,13528509,14589654].map(te),Jn=[3244733,7057110,10406625,13032431,15095053,16616764,16625259,16634018,3253076,7652470,10607003,13101504,7695281,10394312,12369372,14342891,6513507,9868950,12434877,14277081].map(te);function Kn(){return 0}t.scale.quantile=function(){return function e(r,n){var i;function a(){var e=0,a=n.length;for(i=[];++e<a;)i[e-1]=t.quantile(r,e/a);return o}function o(e){if(!isNaN(e=+e))return n[t.bisect(i,e)]}return o.domain=function(t){return arguments.length?(r=t.map(p).filter(d).sort(h),a()):r},o.range=function(t){return arguments.length?(n=t,a()):n},o.quantiles=function(){return i},o.invertExtent=function(t){return(t=n.indexOf(t))<0?[NaN,NaN]:[t>0?i[t-1]:r[0],t<i.length?i[t]:r[r.length-1]]},o.copy=function(){return e(r,n)},a()}([],[])},t.scale.quantize=function(){return function t(e,r,n){var i,a;function o(t){return n[Math.max(0,Math.min(a,Math.floor(i*(t-e))))]}function s(){return i=n.length/(r-e),a=n.length-1,o}return o.domain=function(t){return arguments.length?(e=+t[0],r=+t[t.length-1],s()):[e,r]},o.range=function(t){return arguments.length?(n=t,s()):n},o.invertExtent=function(t){return[t=(t=n.indexOf(t))<0?NaN:t/i+e,t+1/i]},o.copy=function(){return t(e,r,n)},s()}(0,1,[0,1])},t.scale.threshold=function(){return function e(r,n){function i(e){if(e<=e)return n[t.bisect(r,e)]}return i.domain=function(t){return arguments.length?(r=t,i):r},i.range=function(t){return arguments.length?(n=t,i):n},i.invertExtent=function(t){return t=n.indexOf(t),[r[t-1],r[t]]},i.copy=function(){return e(r,n)},i}([.5],[0,1])},t.scale.identity=function(){return function t(e){function r(t){return+t}return r.invert=r,r.domain=r.range=function(t){return arguments.length?(e=t.map(r),r):e},r.ticks=function(t){return qn(e,t)},r.tickFormat=function(t,r){return d3_scale_linearTickFormat(e,t,r)},r.copy=function(){return t(e)},r}([0,1])},t.svg={},t.svg.arc=function(){var t=$n,e=ti,r=Kn,n=Qn,i=ei,a=ri,o=ni;function s(){var s=Math.max(0,+t.apply(this,arguments)),c=Math.max(0,+e.apply(this,arguments)),u=i.apply(this,arguments)-Et,f=a.apply(this,arguments)-Et,h=Math.abs(f-u),p=u>f?0:1;if(c<s&&(d=c,c=s,s=d),h>=St)return l(c,p)+(s?l(s,1-p):"")+"Z";var d,m,g,v,y,x,b,_,w,T,k,A,M=0,S=0,E=[];if((v=(+o.apply(this,arguments)||0)/2)&&(g=n===Qn?Math.sqrt(s*s+c*c):+n.apply(this,arguments),p||(S*=-1),c&&(S=Pt(g/c*Math.sin(v))),s&&(M=Pt(g/s*Math.sin(v)))),c){y=c*Math.cos(u+S),x=c*Math.sin(u+S),b=c*Math.cos(f-S),_=c*Math.sin(f-S);var L=Math.abs(f-u-2*S)<=At?0:1;if(S&&ii(y,x,b,_)===p^L){var C=(u+f)/2;y=c*Math.cos(C),x=c*Math.sin(C),b=_=null}}else y=x=0;if(s){w=s*Math.cos(f-M),T=s*Math.sin(f-M),k=s*Math.cos(u+M),A=s*Math.sin(u+M);var P=Math.abs(u-f+2*M)<=At?0:1;if(M&&ii(w,T,k,A)===1-p^P){var I=(u+f)/2;w=s*Math.cos(I),T=s*Math.sin(I),k=A=null}}else w=T=0;if(h>kt&&(d=Math.min(Math.abs(c-s)/2,+r.apply(this,arguments)))>.001){m=s<c^p?0:1;var O=d,z=d;if(h<At){var D=null==k?[w,T]:null==b?[y,x]:Se([y,x],[k,A],[b,_],[w,T]),R=y-D[0],F=x-D[1],B=b-D[0],N=_-D[1],j=1/Math.sin(Math.acos((R*B+F*N)/(Math.sqrt(R*R+F*F)*Math.sqrt(B*B+N*N)))/2),U=Math.sqrt(D[0]*D[0]+D[1]*D[1]);z=Math.min(d,(s-U)/(j-1)),O=Math.min(d,(c-U)/(j+1))}if(null!=b){var V=ai(null==k?[w,T]:[k,A],[y,x],c,O,p),H=ai([b,_],[w,T],c,O,p);d===O?E.push("M",V[0],"A",O,",",O," 0 0,",m," ",V[1],"A",c,",",c," 0 ",1-p^ii(V[1][0],V[1][1],H[1][0],H[1][1]),",",p," ",H[1],"A",O,",",O," 0 0,",m," ",H[0]):E.push("M",V[0],"A",O,",",O," 0 1,",m," ",H[0])}else E.push("M",y,",",x);if(null!=k){var q=ai([y,x],[k,A],s,-z,p),G=ai([w,T],null==b?[y,x]:[b,_],s,-z,p);d===z?E.push("L",G[0],"A",z,",",z," 0 0,",m," ",G[1],"A",s,",",s," 0 ",p^ii(G[1][0],G[1][1],q[1][0],q[1][1]),",",1-p," ",q[1],"A",z,",",z," 0 0,",m," ",q[0]):E.push("L",G[0],"A",z,",",z," 0 0,",m," ",q[0])}else E.push("L",w,",",T)}else E.push("M",y,",",x),null!=b&&E.push("A",c,",",c," 0 ",L,",",p," ",b,",",_),E.push("L",w,",",T),null!=k&&E.push("A",s,",",s," 0 ",P,",",1-p," ",k,",",A);return E.push("Z"),E.join("")}function l(t,e){return"M0,"+t+"A"+t+","+t+" 0 1,"+e+" 0,"+-t+"A"+t+","+t+" 0 1,"+e+" 0,"+t}return s.innerRadius=function(e){return arguments.length?(t=ce(e),s):t},s.outerRadius=function(t){return arguments.length?(e=ce(t),s):e},s.cornerRadius=function(t){return arguments.length?(r=ce(t),s):r},s.padRadius=function(t){return arguments.length?(n=t==Qn?Qn:ce(t),s):n},s.startAngle=function(t){return arguments.length?(i=ce(t),s):i},s.endAngle=function(t){return arguments.length?(a=ce(t),s):a},s.padAngle=function(t){return arguments.length?(o=ce(t),s):o},s.centroid=function(){var r=(+t.apply(this,arguments)+ +e.apply(this,arguments))/2,n=(+i.apply(this,arguments)+ +a.apply(this,arguments))/2-Et;return[Math.cos(n)*r,Math.sin(n)*r]},s};var Qn="auto";function $n(t){return t.innerRadius}function ti(t){return t.outerRadius}function ei(t){return t.startAngle}function ri(t){return t.endAngle}function ni(t){return t&&t.padAngle}function ii(t,e,r,n){return(t-r)*e-(e-n)*t>0?0:1}function ai(t,e,r,n,i){var a=t[0]-e[0],o=t[1]-e[1],s=(i?n:-n)/Math.sqrt(a*a+o*o),l=s*o,c=-s*a,u=t[0]+l,f=t[1]+c,h=e[0]+l,p=e[1]+c,d=(u+h)/2,m=(f+p)/2,g=h-u,v=p-f,y=g*g+v*v,x=r-n,b=u*p-h*f,_=(v<0?-1:1)*Math.sqrt(Math.max(0,x*x*y-b*b)),w=(b*v-g*_)/y,T=(-b*g-v*_)/y,k=(b*v+g*_)/y,A=(-b*g+v*_)/y,M=w-d,S=T-m,E=k-d,L=A-m;return M*M+S*S>E*E+L*L&&(w=k,T=A),[[w-l,T-c],[w*r/x,T*r/x]]}function oi(){return!0}function si(t){var e=_e,r=we,n=oi,i=ci,a=i.key,o=.7;function s(a){var s,l=[],c=[],u=-1,f=a.length,h=ce(e),p=ce(r);function d(){l.push("M",i(t(c),o))}for(;++u<f;)n.call(this,s=a[u],u)?c.push([+h.call(this,s,u),+p.call(this,s,u)]):c.length&&(d(),c=[]);return c.length&&d(),l.length?l.join(""):null}return s.x=function(t){return arguments.length?(e=t,s):e},s.y=function(t){return arguments.length?(r=t,s):r},s.defined=function(t){return arguments.length?(n=t,s):n},s.interpolate=function(t){return arguments.length?(a="function"==typeof t?i=t:(i=li.get(t)||ci).key,s):a},s.tension=function(t){return arguments.length?(o=t,s):o},s}t.svg.line=function(){return si(C)};var li=t.map({linear:ci,"linear-closed":ui,step:function(t){var e=0,r=t.length,n=t[0],i=[n[0],",",n[1]];for(;++e<r;)i.push("H",(n[0]+(n=t[e])[0])/2,"V",n[1]);r>1&&i.push("H",n[0]);return i.join("")},"step-before":fi,"step-after":hi,basis:mi,"basis-open":function(t){if(t.length<4)return ci(t);var e,r=[],n=-1,i=t.length,a=[0],o=[0];for(;++n<3;)e=t[n],a.push(e[0]),o.push(e[1]);r.push(gi(xi,a)+","+gi(xi,o)),--n;for(;++n<i;)e=t[n],a.shift(),a.push(e[0]),o.shift(),o.push(e[1]),bi(r,a,o);return r.join("")},"basis-closed":function(t){var e,r,n=-1,i=t.length,a=i+4,o=[],s=[];for(;++n<4;)r=t[n%i],o.push(r[0]),s.push(r[1]);e=[gi(xi,o),",",gi(xi,s)],--n;for(;++n<a;)r=t[n%i],o.shift(),o.push(r[0]),s.shift(),s.push(r[1]),bi(e,o,s);return e.join("")},bundle:function(t,e){var r=t.length-1;if(r)for(var n,i,a=t[0][0],o=t[0][1],s=t[r][0]-a,l=t[r][1]-o,c=-1;++c<=r;)n=t[c],i=c/r,n[0]=e*n[0]+(1-e)*(a+i*s),n[1]=e*n[1]+(1-e)*(o+i*l);return mi(t)},cardinal:function(t,e){return t.length<3?ci(t):t[0]+pi(t,di(t,e))},"cardinal-open":function(t,e){return t.length<4?ci(t):t[1]+pi(t.slice(1,-1),di(t,e))},"cardinal-closed":function(t,e){return t.length<3?ui(t):t[0]+pi((t.push(t[0]),t),di([t[t.length-2]].concat(t,[t[1]]),e))},monotone:function(t){return t.length<3?ci(t):t[0]+pi(t,function(t){var e,r,n,i,a=[],o=function(t){var e=0,r=t.length-1,n=[],i=t[0],a=t[1],o=n[0]=_i(i,a);for(;++e<r;)n[e]=(o+(o=_i(i=a,a=t[e+1])))/2;return n[e]=o,n}(t),s=-1,l=t.length-1;for(;++s<l;)e=_i(t[s],t[s+1]),y(e)<kt?o[s]=o[s+1]=0:(r=o[s]/e,n=o[s+1]/e,(i=r*r+n*n)>9&&(i=3*e/Math.sqrt(i),o[s]=i*r,o[s+1]=i*n));s=-1;for(;++s<=l;)i=(t[Math.min(l,s+1)][0]-t[Math.max(0,s-1)][0])/(6*(1+o[s]*o[s])),a.push([i||0,o[s]*i||0]);return a}(t))}});function ci(t){return t.length>1?t.join("L"):t+"Z"}function ui(t){return t.join("L")+"Z"}function fi(t){for(var e=0,r=t.length,n=t[0],i=[n[0],",",n[1]];++e<r;)i.push("V",(n=t[e])[1],"H",n[0]);return i.join("")}function hi(t){for(var e=0,r=t.length,n=t[0],i=[n[0],",",n[1]];++e<r;)i.push("H",(n=t[e])[0],"V",n[1]);return i.join("")}function pi(t,e){if(e.length<1||t.length!=e.length&&t.length!=e.length+2)return ci(t);var r=t.length!=e.length,n="",i=t[0],a=t[1],o=e[0],s=o,l=1;if(r&&(n+="Q"+(a[0]-2*o[0]/3)+","+(a[1]-2*o[1]/3)+","+a[0]+","+a[1],i=t[1],l=2),e.length>1){s=e[1],a=t[l],l++,n+="C"+(i[0]+o[0])+","+(i[1]+o[1])+","+(a[0]-s[0])+","+(a[1]-s[1])+","+a[0]+","+a[1];for(var c=2;c<e.length;c++,l++)a=t[l],s=e[c],n+="S"+(a[0]-s[0])+","+(a[1]-s[1])+","+a[0]+","+a[1]}if(r){var u=t[l];n+="Q"+(a[0]+2*s[0]/3)+","+(a[1]+2*s[1]/3)+","+u[0]+","+u[1]}return n}function di(t,e){for(var r,n=[],i=(1-e)/2,a=t[0],o=t[1],s=1,l=t.length;++s<l;)r=a,a=o,o=t[s],n.push([i*(o[0]-r[0]),i*(o[1]-r[1])]);return n}function mi(t){if(t.length<3)return ci(t);var e=1,r=t.length,n=t[0],i=n[0],a=n[1],o=[i,i,i,(n=t[1])[0]],s=[a,a,a,n[1]],l=[i,",",a,"L",gi(xi,o),",",gi(xi,s)];for(t.push(t[r-1]);++e<=r;)n=t[e],o.shift(),o.push(n[0]),s.shift(),s.push(n[1]),bi(l,o,s);return t.pop(),l.push("L",n),l.join("")}function gi(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]}li.forEach((function(t,e){e.key=t,e.closed=/-closed$/.test(t)}));var vi=[0,2/3,1/3,0],yi=[0,1/3,2/3,0],xi=[0,1/6,2/3,1/6];function bi(t,e,r){t.push("C",gi(vi,e),",",gi(vi,r),",",gi(yi,e),",",gi(yi,r),",",gi(xi,e),",",gi(xi,r))}function _i(t,e){return(e[1]-t[1])/(e[0]-t[0])}function wi(t){for(var e,r,n,i=-1,a=t.length;++i<a;)r=(e=t[i])[0],n=e[1]-Et,e[0]=r*Math.cos(n),e[1]=r*Math.sin(n);return t}function Ti(t){var e=_e,r=_e,n=0,i=we,a=oi,o=ci,s=o.key,l=o,c="L",u=.7;function f(s){var f,h,p,d=[],m=[],g=[],v=-1,y=s.length,x=ce(e),b=ce(n),_=e===r?function(){return h}:ce(r),w=n===i?function(){return p}:ce(i);function T(){d.push("M",o(t(g),u),c,l(t(m.reverse()),u),"Z")}for(;++v<y;)a.call(this,f=s[v],v)?(m.push([h=+x.call(this,f,v),p=+b.call(this,f,v)]),g.push([+_.call(this,f,v),+w.call(this,f,v)])):m.length&&(T(),m=[],g=[]);return m.length&&T(),d.length?d.join(""):null}return f.x=function(t){return arguments.length?(e=r=t,f):r},f.x0=function(t){return arguments.length?(e=t,f):e},f.x1=function(t){return arguments.length?(r=t,f):r},f.y=function(t){return arguments.length?(n=i=t,f):i},f.y0=function(t){return arguments.length?(n=t,f):n},f.y1=function(t){return arguments.length?(i=t,f):i},f.defined=function(t){return arguments.length?(a=t,f):a},f.interpolate=function(t){return arguments.length?(s="function"==typeof t?o=t:(o=li.get(t)||ci).key,l=o.reverse||o,c=o.closed?"M":"L",f):s},f.tension=function(t){return arguments.length?(u=t,f):u},f}function ki(t){return t.source}function Ai(t){return t.target}function Mi(t){return t.radius}function Si(t){return[t.x,t.y]}function Ei(t){return function(){var e=t.apply(this,arguments),r=e[0],n=e[1]-Et;return[r*Math.cos(n),r*Math.sin(n)]}}function Li(){return 64}function Ci(){return"circle"}function Pi(t){var e=Math.sqrt(t/At);return"M0,"+e+"A"+e+","+e+" 0 1,1 0,"+-e+"A"+e+","+e+" 0 1,1 0,"+e+"Z"}t.svg.line.radial=function(){var t=si(wi);return t.radius=t.x,delete t.x,t.angle=t.y,delete t.y,t},fi.reverse=hi,hi.reverse=fi,t.svg.area=function(){return Ti(C)},t.svg.area.radial=function(){var t=Ti(wi);return t.radius=t.x,delete t.x,t.innerRadius=t.x0,delete t.x0,t.outerRadius=t.x1,delete t.x1,t.angle=t.y,delete t.y,t.startAngle=t.y0,delete t.y0,t.endAngle=t.y1,delete t.y1,t},t.svg.chord=function(){var t=ki,e=Ai,r=Mi,n=ei,i=ri;function a(r,n){var i,a,c=o(this,t,r,n),u=o(this,e,r,n);return"M"+c.p0+s(c.r,c.p1,c.a1-c.a0)+(a=u,((i=c).a0==a.a0&&i.a1==a.a1?l(c.r,c.p1,c.r,c.p0):l(c.r,c.p1,u.r,u.p0)+s(u.r,u.p1,u.a1-u.a0)+l(u.r,u.p1,c.r,c.p0))+"Z")}function o(t,e,a,o){var s=e.call(t,a,o),l=r.call(t,s,o),c=n.call(t,s,o)-Et,u=i.call(t,s,o)-Et;return{r:l,a0:c,a1:u,p0:[l*Math.cos(c),l*Math.sin(c)],p1:[l*Math.cos(u),l*Math.sin(u)]}}function s(t,e,r){return"A"+t+","+t+" 0 "+ +(r>At)+",1 "+e}function l(t,e,r,n){return"Q 0,0 "+n}return a.radius=function(t){return arguments.length?(r=ce(t),a):r},a.source=function(e){return arguments.length?(t=ce(e),a):t},a.target=function(t){return arguments.length?(e=ce(t),a):e},a.startAngle=function(t){return arguments.length?(n=ce(t),a):n},a.endAngle=function(t){return arguments.length?(i=ce(t),a):i},a},t.svg.diagonal=function(){var t=ki,e=Ai,r=Si;function n(n,i){var a=t.call(this,n,i),o=e.call(this,n,i),s=(a.y+o.y)/2,l=[a,{x:a.x,y:s},{x:o.x,y:s},o];return"M"+(l=l.map(r))[0]+"C"+l[1]+" "+l[2]+" "+l[3]}return n.source=function(e){return arguments.length?(t=ce(e),n):t},n.target=function(t){return arguments.length?(e=ce(t),n):e},n.projection=function(t){return arguments.length?(r=t,n):r},n},t.svg.diagonal.radial=function(){var e=t.svg.diagonal(),r=Si,n=e.projection;return e.projection=function(t){return arguments.length?n(Ei(r=t)):r},e},t.svg.symbol=function(){var t=Ci,e=Li;function r(r,n){return(Ii.get(t.call(this,r,n))||Pi)(e.call(this,r,n))}return r.type=function(e){return arguments.length?(t=ce(e),r):t},r.size=function(t){return arguments.length?(e=ce(t),r):e},r};var Ii=t.map({circle:Pi,cross:function(t){var e=Math.sqrt(t/5)/2;return"M"+-3*e+","+-e+"H"+-e+"V"+-3*e+"H"+e+"V"+-e+"H"+3*e+"V"+e+"H"+e+"V"+3*e+"H"+-e+"V"+e+"H"+-3*e+"Z"},diamond:function(t){var e=Math.sqrt(t/(2*zi)),r=e*zi;return"M0,"+-e+"L"+r+",0 0,"+e+" "+-r+",0Z"},square:function(t){var e=Math.sqrt(t)/2;return"M"+-e+","+-e+"L"+e+","+-e+" "+e+","+e+" "+-e+","+e+"Z"},"triangle-down":function(t){var e=Math.sqrt(t/Oi),r=e*Oi/2;return"M0,"+r+"L"+e+","+-r+" "+-e+","+-r+"Z"},"triangle-up":function(t){var e=Math.sqrt(t/Oi),r=e*Oi/2;return"M0,"+-r+"L"+e+","+r+" "+-e+","+r+"Z"}});t.svg.symbolTypes=Ii.keys();var Oi=Math.sqrt(3),zi=Math.tan(30*Lt);Y.transition=function(t){for(var e,r,n=Bi||++Ui,i=qi(t),a=[],o=Ni||{time:Date.now(),ease:Er,delay:0,duration:250},s=-1,l=this.length;++s<l;){a.push(e=[]);for(var c=this[s],u=-1,f=c.length;++u<f;)(r=c[u])&&Gi(r,u,i,n,o),e.push(r)}return Fi(a,i,n)},Y.interrupt=function(t){return this.each(null==t?Di:Ri(qi(t)))};var Di=Ri(qi());function Ri(t){return function(){var e,r,n;(e=this[t])&&(n=e[r=e.active])&&(n.timer.c=null,n.timer.t=NaN,--e.count?delete e[r]:delete this[t],e.active+=.5,n.event&&n.event.interrupt.call(this,this.__data__,n.index))}}function Fi(t,e,r){return U(t,ji),t.namespace=e,t.id=r,t}var Bi,Ni,ji=[],Ui=0;function Vi(t,e,r,n){var i=t.id,a=t.namespace;return ut(t,"function"==typeof r?function(t,o,s){t[a][i].tween.set(e,n(r.call(t,t.__data__,o,s)))}:(r=n(r),function(t){t[a][i].tween.set(e,r)}))}function Hi(t){return null==t&&(t=""),function(){this.textContent=t}}function qi(t){return null==t?"__transition__":"__transition_"+t+"__"}function Gi(t,e,r,n,i){var a,o,s,l,c,u=t[r]||(t[r]={active:0,count:0}),f=u[n];function h(r){var i=u.active,h=u[i];for(var d in h&&(h.timer.c=null,h.timer.t=NaN,--u.count,delete u[i],h.event&&h.event.interrupt.call(t,t.__data__,h.index)),u)if(+d<n){var m=u[d];m.timer.c=null,m.timer.t=NaN,--u.count,delete u[d]}o.c=p,ve((function(){return o.c&&p(r||1)&&(o.c=null,o.t=NaN),1}),0,a),u.active=n,f.event&&f.event.start.call(t,t.__data__,e),c=[],f.tween.forEach((function(r,n){(n=n.call(t,t.__data__,e))&&c.push(n)})),l=f.ease,s=f.duration}function p(i){for(var a=i/s,o=l(a),h=c.length;h>0;)c[--h].call(t,o);if(a>=1)return f.event&&f.event.end.call(t,t.__data__,e),--u.count?delete u[n]:delete t[r],1}f||(a=i.time,o=ve((function(t){var e=f.delay;if(o.t=e+a,e<=t)return h(t-e);o.c=h}),0,a),f=u[n]={tween:new _,time:a,timer:o,delay:i.delay,duration:i.duration,ease:i.ease,index:e},i=null,++u.count)}ji.call=Y.call,ji.empty=Y.empty,ji.node=Y.node,ji.size=Y.size,t.transition=function(e,r){return e&&e.transition?Bi?e.transition(r):e:t.selection().transition(e)},t.transition.prototype=ji,ji.select=function(t){var e,r,n,i=this.id,a=this.namespace,o=[];t=W(t);for(var s=-1,l=this.length;++s<l;){o.push(e=[]);for(var c=this[s],u=-1,f=c.length;++u<f;)(n=c[u])&&(r=t.call(n,n.__data__,u,s))?("__data__"in n&&(r.__data__=n.__data__),Gi(r,u,a,i,n[a][i]),e.push(r)):e.push(null)}return Fi(o,a,i)},ji.selectAll=function(t){var e,r,n,i,a,o=this.id,s=this.namespace,l=[];t=X(t);for(var c=-1,u=this.length;++c<u;)for(var f=this[c],h=-1,p=f.length;++h<p;)if(n=f[h]){a=n[s][o],r=t.call(n,n.__data__,h,c),l.push(e=[]);for(var d=-1,m=r.length;++d<m;)(i=r[d])&&Gi(i,d,s,o,a),e.push(i)}return Fi(l,s,o)},ji.filter=function(t){var e,r,n=[];"function"!=typeof t&&(t=lt(t));for(var i=0,a=this.length;i<a;i++){n.push(e=[]);for(var o,s=0,l=(o=this[i]).length;s<l;s++)(r=o[s])&&t.call(r,r.__data__,s,i)&&e.push(r)}return Fi(n,this.namespace,this.id)},ji.tween=function(t,e){var r=this.id,n=this.namespace;return arguments.length<2?this.node()[n][r].tween.get(t):ut(this,null==e?function(e){e[n][r].tween.remove(t)}:function(i){i[n][r].tween.set(t,e)})},ji.attr=function(e,r){if(arguments.length<2){for(r in e)this.attr(r,e[r]);return this}var n="transform"==e?Nr:yr,i=t.ns.qualify(e);function a(){this.removeAttribute(i)}function o(){this.removeAttributeNS(i.space,i.local)}function s(t){return null==t?a:(t+="",function(){var e,r=this.getAttribute(i);return r!==t&&(e=n(r,t),function(t){this.setAttribute(i,e(t))})})}function l(t){return null==t?o:(t+="",function(){var e,r=this.getAttributeNS(i.space,i.local);return r!==t&&(e=n(r,t),function(t){this.setAttributeNS(i.space,i.local,e(t))})})}return Vi(this,"attr."+e,r,i.local?l:s)},ji.attrTween=function(e,r){var n=t.ns.qualify(e);return this.tween("attr."+e,n.local?function(t,e){var i=r.call(this,t,e,this.getAttributeNS(n.space,n.local));return i&&function(t){this.setAttributeNS(n.space,n.local,i(t))}}:function(t,e){var i=r.call(this,t,e,this.getAttribute(n));return i&&function(t){this.setAttribute(n,i(t))}})},ji.style=function(t,e,r){var n=arguments.length;if(n<3){if("string"!=typeof t){for(r in n<2&&(e=""),t)this.style(r,t[r],e);return this}r=""}function i(){this.style.removeProperty(t)}function a(e){return null==e?i:(e+="",function(){var n,i=o(this).getComputedStyle(this,null).getPropertyValue(t);return i!==e&&(n=yr(i,e),function(e){this.style.setProperty(t,n(e),r)})})}return Vi(this,"style."+t,e,a)},ji.styleTween=function(t,e,r){function n(n,i){var a=e.call(this,n,i,o(this).getComputedStyle(this,null).getPropertyValue(t));return a&&function(e){this.style.setProperty(t,a(e),r)}}return arguments.length<3&&(r=""),this.tween("style."+t,n)},ji.text=function(t){return Vi(this,"text",t,Hi)},ji.remove=function(){var t=this.namespace;return this.each("end.transition",(function(){var e;this[t].count<2&&(e=this.parentNode)&&e.removeChild(this)}))},ji.ease=function(e){var r=this.id,n=this.namespace;return arguments.length<1?this.node()[n][r].ease:("function"!=typeof e&&(e=t.ease.apply(t,arguments)),ut(this,(function(t){t[n][r].ease=e})))},ji.delay=function(t){var e=this.id,r=this.namespace;return arguments.length<1?this.node()[r][e].delay:ut(this,"function"==typeof t?function(n,i,a){n[r][e].delay=+t.call(n,n.__data__,i,a)}:(t=+t,function(n){n[r][e].delay=t}))},ji.duration=function(t){var e=this.id,r=this.namespace;return arguments.length<1?this.node()[r][e].duration:ut(this,"function"==typeof t?function(n,i,a){n[r][e].duration=Math.max(1,t.call(n,n.__data__,i,a))}:(t=Math.max(1,t),function(n){n[r][e].duration=t}))},ji.each=function(e,r){var n=this.id,i=this.namespace;if(arguments.length<2){var a=Ni,o=Bi;try{Bi=n,ut(this,(function(t,r,a){Ni=t[i][n],e.call(t,t.__data__,r,a)}))}finally{Ni=a,Bi=o}}else ut(this,(function(a){var o=a[i][n];(o.event||(o.event=t.dispatch("start","end","interrupt"))).on(e,r)}));return this},ji.transition=function(){for(var t,e,r,n=this.id,i=++Ui,a=this.namespace,o=[],s=0,l=this.length;s<l;s++){o.push(t=[]);for(var c,u=0,f=(c=this[s]).length;u<f;u++)(e=c[u])&&Gi(e,u,a,i,{time:(r=e[a][n]).time,ease:r.ease,delay:r.delay+r.duration,duration:r.duration}),t.push(e)}return Fi(o,a,i)},t.svg.axis=function(){var e,r=t.scale.linear(),i=Yi,a=6,o=6,s=3,l=[10],c=null;function u(n){n.each((function(){var n,u=t.select(this),f=this.__chart__||r,h=this.__chart__=r.copy(),p=null==c?h.ticks?h.ticks.apply(h,l):h.domain():c,d=null==e?h.tickFormat?h.tickFormat.apply(h,l):C:e,m=u.selectAll(".tick").data(p,h),g=m.enter().insert("g",".domain").attr("class","tick").style("opacity",kt),v=t.transition(m.exit()).style("opacity",kt).remove(),y=t.transition(m.order()).style("opacity",1),x=Math.max(a,0)+s,b=Dn(h),_=u.selectAll(".domain").data([0]),w=(_.enter().append("path").attr("class","domain"),t.transition(_));g.append("line"),g.append("text");var T,k,A,M,S=g.select("line"),E=y.select("line"),L=m.select("text").text(d),P=g.select("text"),I=y.select("text"),O="top"===i||"left"===i?-1:1;if("bottom"===i||"top"===i?(n=Xi,T="x",A="y",k="x2",M="y2",L.attr("dy",O<0?"0em":".71em").style("text-anchor","middle"),w.attr("d","M"+b[0]+","+O*o+"V0H"+b[1]+"V"+O*o)):(n=Zi,T="y",A="x",k="y2",M="x2",L.attr("dy",".32em").style("text-anchor",O<0?"end":"start"),w.attr("d","M"+O*o+","+b[0]+"H0V"+b[1]+"H"+O*o)),S.attr(M,O*a),P.attr(A,O*x),E.attr(k,0).attr(M,O*a),I.attr(T,0).attr(A,O*x),h.rangeBand){var z=h,D=z.rangeBand()/2;f=h=function(t){return z(t)+D}}else f.rangeBand?f=h:v.call(n,h,f);g.call(n,f,h),y.call(n,h,h)}))}return u.scale=function(t){return arguments.length?(r=t,u):r},u.orient=function(t){return arguments.length?(i=t in Wi?t+"":Yi,u):i},u.ticks=function(){return arguments.length?(l=n(arguments),u):l},u.tickValues=function(t){return arguments.length?(c=t,u):c},u.tickFormat=function(t){return arguments.length?(e=t,u):e},u.tickSize=function(t){var e=arguments.length;return e?(a=+t,o=+arguments[e-1],u):a},u.innerTickSize=function(t){return arguments.length?(a=+t,u):a},u.outerTickSize=function(t){return arguments.length?(o=+t,u):o},u.tickPadding=function(t){return arguments.length?(s=+t,u):s},u.tickSubdivide=function(){return arguments.length&&u},u};var Yi="bottom",Wi={top:1,right:1,bottom:1,left:1};function Xi(t,e,r){t.attr("transform",(function(t){var n=e(t);return"translate("+(isFinite(n)?n:r(t))+",0)"}))}function Zi(t,e,r){t.attr("transform",(function(t){var n=e(t);return"translate(0,"+(isFinite(n)?n:r(t))+")"}))}t.svg.brush=function(){var e,r,n=N(h,"brushstart","brush","brushend"),i=null,a=null,s=[0,0],l=[0,0],c=!0,u=!0,f=Ki[0];function h(e){e.each((function(){var e=t.select(this).style("pointer-events","all").style("-webkit-tap-highlight-color","rgba(0,0,0,0)").on("mousedown.brush",g).on("touchstart.brush",g),r=e.selectAll(".background").data([0]);r.enter().append("rect").attr("class","background").style("visibility","hidden").style("cursor","crosshair"),e.selectAll(".extent").data([0]).enter().append("rect").attr("class","extent").style("cursor","move");var n=e.selectAll(".resize").data(f,C);n.exit().remove(),n.enter().append("g").attr("class",(function(t){return"resize "+t})).style("cursor",(function(t){return Ji[t]})).append("rect").attr("x",(function(t){return/[ew]$/.test(t)?-3:null})).attr("y",(function(t){return/^[ns]/.test(t)?-3:null})).attr("width",6).attr("height",6).style("visibility","hidden"),n.style("display",h.empty()?"none":null);var o,s=t.transition(e),l=t.transition(r);i&&(o=Dn(i),l.attr("x",o[0]).attr("width",o[1]-o[0]),d(s)),a&&(o=Dn(a),l.attr("y",o[0]).attr("height",o[1]-o[0]),m(s)),p(s)}))}function p(t){t.selectAll(".resize").attr("transform",(function(t){return"translate("+s[+/e$/.test(t)]+","+l[+/^s/.test(t)]+")"}))}function d(t){t.select(".extent").attr("x",s[0]),t.selectAll(".extent,.n>rect,.s>rect").attr("width",s[1]-s[0])}function m(t){t.select(".extent").attr("y",l[0]),t.selectAll(".extent,.e>rect,.w>rect").attr("height",l[1]-l[0])}function g(){var f,g,v=this,y=t.select(t.event.target),x=n.of(v,arguments),b=t.select(v),_=y.datum(),w=!/^(n|s)$/.test(_)&&i,T=!/^(e|w)$/.test(_)&&a,k=y.classed("extent"),A=bt(v),M=t.mouse(v),S=t.select(o(v)).on("keydown.brush",C).on("keyup.brush",P);if(t.event.changedTouches?S.on("touchmove.brush",I).on("touchend.brush",z):S.on("mousemove.brush",I).on("mouseup.brush",z),b.interrupt().selectAll("*").interrupt(),k)M[0]=s[0]-M[0],M[1]=l[0]-M[1];else if(_){var E=+/w$/.test(_),L=+/^n/.test(_);g=[s[1-E]-M[0],l[1-L]-M[1]],M[0]=s[E],M[1]=l[L]}else t.event.altKey&&(f=M.slice());function C(){32==t.event.keyCode&&(k||(f=null,M[0]-=s[1],M[1]-=l[1],k=2),F())}function P(){32==t.event.keyCode&&2==k&&(M[0]+=s[1],M[1]+=l[1],k=0,F())}function I(){var e=t.mouse(v),r=!1;g&&(e[0]+=g[0],e[1]+=g[1]),k||(t.event.altKey?(f||(f=[(s[0]+s[1])/2,(l[0]+l[1])/2]),M[0]=s[+(e[0]<f[0])],M[1]=l[+(e[1]<f[1])]):f=null),w&&O(e,i,0)&&(d(b),r=!0),T&&O(e,a,1)&&(m(b),r=!0),r&&(p(b),x({type:"brush",mode:k?"move":"resize"}))}function O(t,n,i){var a,o,h=Dn(n),p=h[0],d=h[1],m=M[i],g=i?l:s,v=g[1]-g[0];if(k&&(p-=m,d-=v+m),a=(i?u:c)?Math.max(p,Math.min(d,t[i])):t[i],k?o=(a+=m)+v:(f&&(m=Math.max(p,Math.min(d,2*f[i]-a))),m<a?(o=a,a=m):o=m),g[0]!=a||g[1]!=o)return i?r=null:e=null,g[0]=a,g[1]=o,!0}function z(){I(),b.style("pointer-events","all").selectAll(".resize").style("display",h.empty()?"none":null),t.select("body").style("cursor",null),S.on("mousemove.brush",null).on("mouseup.brush",null).on("touchmove.brush",null).on("touchend.brush",null).on("keydown.brush",null).on("keyup.brush",null),A(),x({type:"brushend"})}b.style("pointer-events","none").selectAll(".resize").style("display",null),t.select("body").style("cursor",y.style("cursor")),x({type:"brushstart"}),I()}return h.event=function(i){i.each((function(){var i=n.of(this,arguments),a={x:s,y:l,i:e,j:r},o=this.__chart__||a;this.__chart__=a,Bi?t.select(this).transition().each("start.brush",(function(){e=o.i,r=o.j,s=o.x,l=o.y,i({type:"brushstart"})})).tween("brush:brush",(function(){var t=xr(s,a.x),n=xr(l,a.y);return e=r=null,function(e){s=a.x=t(e),l=a.y=n(e),i({type:"brush",mode:"resize"})}})).each("end.brush",(function(){e=a.i,r=a.j,i({type:"brush",mode:"resize"}),i({type:"brushend"})})):(i({type:"brushstart"}),i({type:"brush",mode:"resize"}),i({type:"brushend"}))}))},h.x=function(t){return arguments.length?(f=Ki[!(i=t)<<1|!a],h):i},h.y=function(t){return arguments.length?(f=Ki[!i<<1|!(a=t)],h):a},h.clamp=function(t){return arguments.length?(i&&a?(c=!!t[0],u=!!t[1]):i?c=!!t:a&&(u=!!t),h):i&&a?[c,u]:i?c:a?u:null},h.extent=function(t){var n,o,c,u,f;return arguments.length?(i&&(n=t[0],o=t[1],a&&(n=n[0],o=o[0]),e=[n,o],i.invert&&(n=i(n),o=i(o)),o<n&&(f=n,n=o,o=f),n==s[0]&&o==s[1]||(s=[n,o])),a&&(c=t[0],u=t[1],i&&(c=c[1],u=u[1]),r=[c,u],a.invert&&(c=a(c),u=a(u)),u<c&&(f=c,c=u,u=f),c==l[0]&&u==l[1]||(l=[c,u])),h):(i&&(e?(n=e[0],o=e[1]):(n=s[0],o=s[1],i.invert&&(n=i.invert(n),o=i.invert(o)),o<n&&(f=n,n=o,o=f))),a&&(r?(c=r[0],u=r[1]):(c=l[0],u=l[1],a.invert&&(c=a.invert(c),u=a.invert(u)),u<c&&(f=c,c=u,u=f))),i&&a?[[n,c],[o,u]]:i?[n,o]:a&&[c,u])},h.clear=function(){return h.empty()||(s=[0,0],l=[0,0],e=r=null),h},h.empty=function(){return!!i&&s[0]==s[1]||!!a&&l[0]==l[1]},t.rebind(h,n,"on")};var Ji={n:"ns-resize",e:"ew-resize",s:"ns-resize",w:"ew-resize",nw:"nwse-resize",ne:"nesw-resize",se:"nwse-resize",sw:"nesw-resize"},Ki=[["n","e","s","w","nw","ne","se","sw"],["e","w"],["n","s"],[]];function Qi(t){return JSON.parse(t.responseText)}function $i(t){var e=i.createRange();return e.selectNode(i.body),e.createContextualFragment(t.responseText)}t.text=ue((function(t){return t.responseText})),t.json=function(t,e){return fe(t,"application/json",Qi,e)},t.html=function(t,e){return fe(t,"text/html",$i,e)},t.xml=ue((function(t){return t.responseXML})),"object"==typeof e&&e.exports?e.exports=t:this.d3=t}).apply(self)},{}],59:[function(t,e,r){"use strict";e.exports=t("./quad")},{"./quad":60}],60:[function(t,e,r){"use strict";var n=t("binary-search-bounds"),i=t("clamp"),a=t("parse-rect"),o=t("array-bounds"),s=t("pick-by-alias"),l=t("defined"),c=t("flatten-vertex-data"),u=t("is-obj"),f=t("dtype"),h=t("math-log2");function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return s}e.exports=function(t,e){e||(e={}),t=c(t,"float64"),e=s(e,{bounds:"range bounds dataBox databox",maxDepth:"depth maxDepth maxdepth level maxLevel maxlevel levels",dtype:"type dtype format out dst output destination"});var r=l(e.maxDepth,255),i=l(e.bounds,o(t,2));i[0]===i[2]&&i[2]++,i[1]===i[3]&&i[3]++;var d,m=p(t,i),g=t.length>>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(f(e.dtype))(g):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=g));for(var v=0;v<g;++v)d[v]=v;var y=[],x=[],b=[],_=[];!function t(e,n,i,a,o,s){if(!a.length)return null;var l=y[o]||(y[o]=[]),c=b[o]||(b[o]=[]),u=x[o]||(x[o]=[]),f=l.length;if(++o>r||s>1073741824){for(var h=0;h<a.length;h++)l.push(a[h]),c.push(s),u.push(null,null,null,null);return f}if(l.push(a[0]),c.push(s),a.length<=1)return u.push(null,null,null,null),f;for(var p=.5*i,d=e+p,g=n+p,v=[],_=[],w=[],T=[],k=1,A=a.length;k<A;k++){var M=a[k],S=m[2*M],E=m[2*M+1];S<d?E<g?v.push(M):_.push(M):E<g?w.push(M):T.push(M)}return s<<=2,u.push(t(e,n,p,v,o,s),t(e,g,p,_,o,s+1),t(d,n,p,w,o,s+2),t(d,g,p,T,o,s+3)),f}(0,0,1,d,0,1);for(var w=0,T=0;T<y.length;T++){var k=y[T];if(d.set)d.set(k,w);else for(var A=0,M=k.length;A<M;A++)d[A+w]=k[A];var S=w+y[T].length;_[T]=[w,S],w=S}return d.range=function(){var e,r=[],n=arguments.length;for(;n--;)r[n]=arguments[n];if(u(r[r.length-1])){var o=r.pop();r.length||null==o.x&&null==o.l&&null==o.left||(r=[o],e={}),e=s(o,{level:"level maxLevel",d:"d diam diameter r radius px pxSize pixel pixelSize maxD size minSize",lod:"lod details ranges offsets"})}else e={};r.length||(r=i);var c=a.apply(void 0,r),f=[Math.min(c.x,c.x+c.width),Math.min(c.y,c.y+c.height),Math.max(c.x,c.x+c.width),Math.max(c.y,c.y+c.height)],d=f[0],m=f[1],g=f[2],v=f[3],b=p([d,m,g,v],i),_=b[0],w=b[1],T=b[2],k=b[3],A=l(e.level,y.length);if(null!=e.d){var M;"number"==typeof e.d?M=[e.d,e.d]:e.d.length&&(M=e.d),A=Math.min(Math.max(Math.ceil(-h(Math.abs(M[0])/(i[2]-i[0]))),Math.ceil(-h(Math.abs(M[1])/(i[3]-i[1])))),A)}if(A=Math.min(A,y.length),e.lod)return E(_,w,T,k,A);var S=[];function L(e,r,n,i,a,o){if(null!==a&&null!==o&&!(_>e+n||w>r+n||T<e||k<r||i>=A||a===o)){var s=y[i];void 0===o&&(o=s.length);for(var l=a;l<o;l++){var c=s[l],u=t[2*c],f=t[2*c+1];u>=d&&u<=g&&f>=m&&f<=v&&S.push(c)}var h=x[i],p=h[4*a+0],b=h[4*a+1],M=h[4*a+2],E=h[4*a+3],P=C(h,a+1),I=.5*n,O=i+1;L(e,r,I,O,p,b||M||E||P),L(e,r+I,I,O,b,M||E||P),L(e+I,r,I,O,M,E||P),L(e+I,r+I,I,O,E,P)}}function C(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}return L(0,0,1,0,0,1),S},d;function E(t,e,r,i,a){for(var o=[],s=0;s<a;s++){var l=b[s],c=_[s][0],u=L(t,e,s),f=L(r,i,s),h=n.ge(l,u),p=n.gt(l,f,h,l.length-1);o[s]=[h+c,p+c]}return o}function L(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s<r;s++)n<<=2,n+=t<i?e<a?0:1:e<a?2:3,o*=.5,i+=t<i?-o:o,a+=e<a?-o:o;return n}}},{"array-bounds":67,"binary-search-bounds":76,clamp:81,defined:118,dtype:121,"flatten-vertex-data":186,"is-obj":230,"math-log2":235,"parse-rect":244,"pick-by-alias":248}],61:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/meta");function i(t){var e=0;if(t&&t.length>0){e+=Math.abs(a(t[0]));for(var r=1;r<t.length;r++)e-=Math.abs(a(t[r]))}return e}function a(t){var e,r,n,i,a,s,l=0,c=t.length;if(c>2){for(s=0;s<c;s++)s===c-2?(n=c-2,i=c-1,a=0):s===c-1?(n=c-1,i=0,a=1):(n=s,i=s+1,a=s+2),e=t[n],r=t[i],l+=(o(t[a][0])-o(e[0]))*Math.sin(o(r[1]));l=6378137*l*6378137/2}return l}function o(t){return t*Math.PI/180}r.default=function(t){return n.geomReduce(t,(function(t,e){return t+function(t){var e,r=0;switch(t.type){case"Polygon":return i(t.coordinates);case"MultiPolygon":for(e=0;e<t.coordinates.length;e++)r+=i(t.coordinates[e]);return r;case"Point":case"MultiPoint":case"LineString":case"MultiLineString":return 0}return 0}(e)}),0)}},{"@turf/meta":65}],62:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/meta");function i(t){var e=[1/0,1/0,-1/0,-1/0];return n.coordEach(t,(function(t){e[0]>t[0]&&(e[0]=t[0]),e[1]>t[1]&&(e[1]=t[1]),e[2]<t[0]&&(e[2]=t[0]),e[3]<t[1]&&(e[3]=t[1])})),e}i.default=i,r.default=i},{"@turf/meta":65}],63:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/meta"),i=t("@turf/helpers");r.default=function(t,e){void 0===e&&(e={});var r=0,a=0,o=0;return n.coordEach(t,(function(t){r+=t[0],a+=t[1],o++}),!0),i.point([r/o,a/o],e.properties)}},{"@turf/helpers":64,"@turf/meta":65}],64:[function(t,e,r){"use strict";function n(t,e,r){void 0===r&&(r={});var n={type:"Feature"};return(0===r.id||r.id)&&(n.id=r.id),r.bbox&&(n.bbox=r.bbox),n.properties=e||{},n.geometry=t,n}function i(t,e,r){if(void 0===r&&(r={}),!t)throw new Error("coordinates is required");if(!Array.isArray(t))throw new Error("coordinates must be an Array");if(t.length<2)throw new Error("coordinates must be at least 2 numbers long");if(!d(t[0])||!d(t[1]))throw new Error("coordinates must contain numbers");return n({type:"Point",coordinates:t},e,r)}function a(t,e,r){void 0===r&&(r={});for(var i=0,a=t;i<a.length;i++){var o=a[i];if(o.length<4)throw new Error("Each LinearRing of a Polygon must have 4 or more Positions.");for(var s=0;s<o[o.length-1].length;s++)if(o[o.length-1][s]!==o[0][s])throw new Error("First and last Position are not equivalent.")}return n({type:"Polygon",coordinates:t},e,r)}function o(t,e,r){if(void 0===r&&(r={}),t.length<2)throw new Error("coordinates must be an array of two or more positions");return n({type:"LineString",coordinates:t},e,r)}function s(t,e){void 0===e&&(e={});var r={type:"FeatureCollection"};return e.id&&(r.id=e.id),e.bbox&&(r.bbox=e.bbox),r.features=t,r}function l(t,e,r){return void 0===r&&(r={}),n({type:"MultiLineString",coordinates:t},e,r)}function c(t,e,r){return void 0===r&&(r={}),n({type:"MultiPoint",coordinates:t},e,r)}function u(t,e,r){return void 0===r&&(r={}),n({type:"MultiPolygon",coordinates:t},e,r)}function f(t,e){void 0===e&&(e="kilometers");var n=r.factors[e];if(!n)throw new Error(e+" units is invalid");return t*n}function h(t,e){void 0===e&&(e="kilometers");var n=r.factors[e];if(!n)throw new Error(e+" units is invalid");return t/n}function p(t){return 180*(t%(2*Math.PI))/Math.PI}function d(t){return!isNaN(t)&&null!==t&&!Array.isArray(t)}Object.defineProperty(r,"__esModule",{value:!0}),r.earthRadius=6371008.8,r.factors={centimeters:100*r.earthRadius,centimetres:100*r.earthRadius,degrees:r.earthRadius/111325,feet:3.28084*r.earthRadius,inches:39.37*r.earthRadius,kilometers:r.earthRadius/1e3,kilometres:r.earthRadius/1e3,meters:r.earthRadius,metres:r.earthRadius,miles:r.earthRadius/1609.344,millimeters:1e3*r.earthRadius,millimetres:1e3*r.earthRadius,nauticalmiles:r.earthRadius/1852,radians:1,yards:1.0936*r.earthRadius},r.unitsFactors={centimeters:100,centimetres:100,degrees:1/111325,feet:3.28084,inches:39.37,kilometers:.001,kilometres:.001,meters:1,metres:1,miles:1/1609.344,millimeters:1e3,millimetres:1e3,nauticalmiles:1/1852,radians:1/r.earthRadius,yards:1.0936133},r.areaFactors={acres:247105e-9,centimeters:1e4,centimetres:1e4,feet:10.763910417,hectares:1e-4,inches:1550.003100006,kilometers:1e-6,kilometres:1e-6,meters:1,metres:1,miles:386e-9,millimeters:1e6,millimetres:1e6,yards:1.195990046},r.feature=n,r.geometry=function(t,e,r){switch(void 0===r&&(r={}),t){case"Point":return i(e).geometry;case"LineString":return o(e).geometry;case"Polygon":return a(e).geometry;case"MultiPoint":return c(e).geometry;case"MultiLineString":return l(e).geometry;case"MultiPolygon":return u(e).geometry;default:throw new Error(t+" is invalid")}},r.point=i,r.points=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return i(t,e)})),r)},r.polygon=a,r.polygons=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return a(t,e)})),r)},r.lineString=o,r.lineStrings=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return o(t,e)})),r)},r.featureCollection=s,r.multiLineString=l,r.multiPoint=c,r.multiPolygon=u,r.geometryCollection=function(t,e,r){return void 0===r&&(r={}),n({type:"GeometryCollection",geometries:t},e,r)},r.round=function(t,e){if(void 0===e&&(e=0),e&&!(e>=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},r.radiansToLength=f,r.lengthToRadians=h,r.lengthToDegrees=function(t,e){return p(h(t,e))},r.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},r.radiansToDegrees=p,r.degreesToRadians=function(t){return t%360*Math.PI/180},r.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return f(h(t,e),r)},r.convertArea=function(t,e,n){if(void 0===e&&(e="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=r.areaFactors[e];if(!i)throw new Error("invalid original units");var a=r.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},r.isNumber=d,r.isObject=function(t){return!!t&&t.constructor===Object},r.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!d(t))throw new Error("bbox must only contain numbers")}))},r.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")}},{}],65:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/helpers");function i(t,e,r){if(null!==t)for(var n,a,o,s,l,c,u,f,h=0,p=0,d=t.type,m="FeatureCollection"===d,g="Feature"===d,v=m?t.features.length:1,y=0;y<v;y++){l=(f=!!(u=m?t.features[y].geometry:g?t.geometry:t)&&"GeometryCollection"===u.type)?u.geometries.length:1;for(var x=0;x<l;x++){var b=0,_=0;if(null!==(s=f?u.geometries[x]:u)){c=s.coordinates;var w=s.type;switch(h=!r||"Polygon"!==w&&"MultiPolygon"!==w?0:1,w){case null:break;case"Point":if(!1===e(c,p,y,b,_))return!1;p++,b++;break;case"LineString":case"MultiPoint":for(n=0;n<c.length;n++){if(!1===e(c[n],p,y,b,_))return!1;p++,"MultiPoint"===w&&b++}"LineString"===w&&b++;break;case"Polygon":case"MultiLineString":for(n=0;n<c.length;n++){for(a=0;a<c[n].length-h;a++){if(!1===e(c[n][a],p,y,b,_))return!1;p++}"MultiLineString"===w&&b++,"Polygon"===w&&_++}"Polygon"===w&&b++;break;case"MultiPolygon":for(n=0;n<c.length;n++){for(_=0,a=0;a<c[n].length;a++){for(o=0;o<c[n][a].length-h;o++){if(!1===e(c[n][a][o],p,y,b,_))return!1;p++}_++}b++}break;case"GeometryCollection":for(n=0;n<s.geometries.length;n++)if(!1===i(s.geometries[n],e,r))return!1;break;default:throw new Error("Unknown Geometry Type")}}}}}function a(t,e){var r;switch(t.type){case"FeatureCollection":for(r=0;r<t.features.length&&!1!==e(t.features[r].properties,r);r++);break;case"Feature":e(t.properties,0)}}function o(t,e){if("Feature"===t.type)e(t,0);else if("FeatureCollection"===t.type)for(var r=0;r<t.features.length&&!1!==e(t.features[r],r);r++);}function s(t,e){var r,n,i,a,o,s,l,c,u,f,h=0,p="FeatureCollection"===t.type,d="Feature"===t.type,m=p?t.features.length:1;for(r=0;r<m;r++){for(s=p?t.features[r].geometry:d?t.geometry:t,c=p?t.features[r].properties:d?t.properties:{},u=p?t.features[r].bbox:d?t.bbox:void 0,f=p?t.features[r].id:d?t.id:void 0,o=(l=!!s&&"GeometryCollection"===s.type)?s.geometries.length:1,i=0;i<o;i++)if(null!==(a=l?s.geometries[i]:s))switch(a.type){case"Point":case"LineString":case"MultiPoint":case"Polygon":case"MultiLineString":case"MultiPolygon":if(!1===e(a,h,c,u,f))return!1;break;case"GeometryCollection":for(n=0;n<a.geometries.length;n++)if(!1===e(a.geometries[n],h,c,u,f))return!1;break;default:throw new Error("Unknown Geometry Type")}else if(!1===e(null,h,c,u,f))return!1;h++}}function l(t,e){s(t,(function(t,r,i,a,o){var s,l=null===t?null:t.type;switch(l){case null:case"Point":case"LineString":case"Polygon":return!1!==e(n.feature(t,i,{bbox:a,id:o}),r,0)&&void 0}switch(l){case"MultiPoint":s="Point";break;case"MultiLineString":s="LineString";break;case"MultiPolygon":s="Polygon"}for(var c=0;c<t.coordinates.length;c++){var u={type:s,coordinates:t.coordinates[c]};if(!1===e(n.feature(u,i),r,c))return!1}}))}function c(t,e){l(t,(function(t,r,a){var o=0;if(t.geometry){var s=t.geometry.type;if("Point"!==s&&"MultiPoint"!==s){var l,c=0,u=0,f=0;return!1!==i(t,(function(i,s,h,p,d){if(void 0===l||r>c||p>u||d>f)return l=i,c=r,u=p,f=d,void(o=0);var m=n.lineString([l,i],t.properties);if(!1===e(m,r,a,d,o))return!1;o++,l=i}))&&void 0}}}))}function u(t,e){if(!t)throw new Error("geojson is required");l(t,(function(t,r,i){if(null!==t.geometry){var a=t.geometry.type,o=t.geometry.coordinates;switch(a){case"LineString":if(!1===e(t,r,i,0,0))return!1;break;case"Polygon":for(var s=0;s<o.length;s++)if(!1===e(n.lineString(o[s],t.properties),r,i,s))return!1}}}))}r.coordAll=function(t){var e=[];return i(t,(function(t){e.push(t)})),e},r.coordEach=i,r.coordReduce=function(t,e,r,n){var a=r;return i(t,(function(t,n,i,o,s){a=0===n&&void 0===r?t:e(a,t,n,i,o,s)}),n),a},r.featureEach=o,r.featureReduce=function(t,e,r){var n=r;return o(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.findPoint=function(t,e){if(e=e||{},!n.isObject(e))throw new Error("options is invalid");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.coordIndex||0,l=e.properties;switch(t.type){case"FeatureCollection":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case"Feature":l=l||t.properties,r=t.geometry;break;case"Point":case"MultiPoint":return null;case"LineString":case"Polygon":case"MultiLineString":case"MultiPolygon":r=t;break;default:throw new Error("geojson is invalid")}if(null===r)return null;var c=r.coordinates;switch(r.type){case"Point":return n.point(c,l,e);case"MultiPoint":return a<0&&(a=c.length+a),n.point(c[a],l,e);case"LineString":return s<0&&(s=c.length+s),n.point(c[s],l,e);case"Polygon":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s),n.point(c[o][s],l,e);case"MultiLineString":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s),n.point(c[a][s],l,e);case"MultiPolygon":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s),n.point(c[a][o][s],l,e)}throw new Error("geojson is invalid")},r.findSegment=function(t,e){if(e=e||{},!n.isObject(e))throw new Error("options is invalid");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.segmentIndex||0,l=e.properties;switch(t.type){case"FeatureCollection":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case"Feature":l=l||t.properties,r=t.geometry;break;case"Point":case"MultiPoint":return null;case"LineString":case"Polygon":case"MultiLineString":case"MultiPolygon":r=t;break;default:throw new Error("geojson is invalid")}if(null===r)return null;var c=r.coordinates;switch(r.type){case"Point":case"MultiPoint":return null;case"LineString":return s<0&&(s=c.length+s-1),n.lineString([c[s],c[s+1]],l,e);case"Polygon":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s-1),n.lineString([c[o][s],c[o][s+1]],l,e);case"MultiLineString":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s-1),n.lineString([c[a][s],c[a][s+1]],l,e);case"MultiPolygon":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s-1),n.lineString([c[a][o][s],c[a][o][s+1]],l,e)}throw new Error("geojson is invalid")},r.flattenEach=l,r.flattenReduce=function(t,e,r){var n=r;return l(t,(function(t,i,a){n=0===i&&0===a&&void 0===r?t:e(n,t,i,a)})),n},r.geomEach=s,r.geomReduce=function(t,e,r){var n=r;return s(t,(function(t,i,a,o,s){n=0===i&&void 0===r?t:e(n,t,i,a,o,s)})),n},r.lineEach=u,r.lineReduce=function(t,e,r){var n=r;return u(t,(function(t,i,a,o){n=0===i&&void 0===r?t:e(n,t,i,a,o)})),n},r.propEach=a,r.propReduce=function(t,e,r){var n=r;return a(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.segmentEach=c,r.segmentReduce=function(t,e,r){var n=r,i=!1;return c(t,(function(t,a,o,s,l){n=!1===i&&void 0===r?t:e(n,t,a,o,s,l),i=!0})),n}},{"@turf/helpers":64}],66:[function(t,e,r){e.exports=function(t){var e=0,r=0,n=0,i=0;return t.map((function(t){var a=(t=t.slice())[0],o=a.toUpperCase();if(a!=o)switch(t[0]=o,a){case"a":t[6]+=n,t[7]+=i;break;case"v":t[1]+=i;break;case"h":t[1]+=n;break;default:for(var s=1;s<t.length;)t[s++]+=n,t[s++]+=i}switch(o){case"Z":n=e,i=r;break;case"H":n=t[1];break;case"V":i=t[1];break;case"M":n=e=t[1],i=r=t[2];break;default:n=t[t.length-2],i=t[t.length-1]}return t}))}},{}],67:[function(t,e,r){"use strict";e.exports=function(t,e){if(!t||null==t.length)throw Error("Argument should be an array");e=null==e?1:Math.floor(e);for(var r=Array(2*e),n=0;n<e;n++){for(var i=-1/0,a=1/0,o=n,s=t.length;o<s;o+=e)t[o]>i&&(i=t[o]),t[o]<a&&(a=t[o]);r[n]=a,r[e+n]=i}return r}},{}],68:[function(t,e,r){"use strict";e.exports=function(t,e,r){if("function"==typeof Array.prototype.findIndex)return t.findIndex(e,r);if("function"!=typeof e)throw new TypeError("predicate must be a function");var n=Object(t),i=n.length;if(0===i)return-1;for(var a=0;a<i;a++)if(e.call(r,n[a],a,n))return a;return-1}},{}],69:[function(t,e,r){"use strict";var n=t("array-bounds");e.exports=function(t,e,r){if(!t||null==t.length)throw Error("Argument should be an array");null==e&&(e=1);null==r&&(r=n(t,e));for(var i=0;i<e;i++){var a=r[e+i],o=r[i],s=i,l=t.length;if(a===1/0&&o===-1/0)for(s=i;s<l;s+=e)t[s]=t[s]===a?1:t[s]===o?0:.5;else if(a===1/0)for(s=i;s<l;s+=e)t[s]=t[s]===a?1:0;else if(o===-1/0)for(s=i;s<l;s+=e)t[s]=t[s]===o?0:1;else{var c=a-o;for(s=i;s<l;s+=e)isNaN(t[s])||(t[s]=0===c?.5:(t[s]-o)/c)}}return t}},{"array-bounds":67}],70:[function(t,e,r){e.exports=function(t,e){var r="number"==typeof t,n="number"==typeof e;r&&!n?(e=t,t=0):r||n||(t=0,e=0);var i=(e|=0)-(t|=0);if(i<0)throw new Error("array length must be positive");for(var a=new Array(i),o=0,s=t;o<i;o++,s++)a[o]=s;return a}},{}],71:[function(t,e,r){(function(r){(function(){"use strict";var n=t("object-assign");
+!function(t){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=t();else if("function"==typeof define&&define.amd)define([],t);else{("undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l="function"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error("Cannot find module '"+o+"'");throw c.code="MODULE_NOT_FOUND",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return i(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var a="function"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){"use strict";var n=t("../src/lib"),i={"X,X div":"direction:ltr;font-family:'Open Sans', verdana, arial, sans-serif;margin:0;padding:0;","X input,X button":"font-family:'Open Sans', verdana, arial, sans-serif;","X input:focus,X button:focus":"outline:none;","X a":"text-decoration:none;","X a:hover":"text-decoration:none;","X .crisp":"shape-rendering:crispEdges;","X .user-select-none":"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;","X svg":"overflow:hidden;","X svg a":"fill:#447adb;","X svg a:hover":"fill:#3c6dc5;","X .main-svg":"position:absolute;top:0;left:0;pointer-events:none;","X .main-svg .draglayer":"pointer-events:all;","X .cursor-default":"cursor:default;","X .cursor-pointer":"cursor:pointer;","X .cursor-crosshair":"cursor:crosshair;","X .cursor-move":"cursor:move;","X .cursor-col-resize":"cursor:col-resize;","X .cursor-row-resize":"cursor:row-resize;","X .cursor-ns-resize":"cursor:ns-resize;","X .cursor-ew-resize":"cursor:ew-resize;","X .cursor-sw-resize":"cursor:sw-resize;","X .cursor-s-resize":"cursor:s-resize;","X .cursor-se-resize":"cursor:se-resize;","X .cursor-w-resize":"cursor:w-resize;","X .cursor-e-resize":"cursor:e-resize;","X .cursor-nw-resize":"cursor:nw-resize;","X .cursor-n-resize":"cursor:n-resize;","X .cursor-ne-resize":"cursor:ne-resize;","X .cursor-grab":"cursor:-webkit-grab;cursor:grab;","X .modebar":"position:absolute;top:2px;right:2px;","X .ease-bg":"-webkit-transition:background-color 0.3s ease 0s;-moz-transition:background-color 0.3s ease 0s;-ms-transition:background-color 0.3s ease 0s;-o-transition:background-color 0.3s ease 0s;transition:background-color 0.3s ease 0s;","X .modebar--hover>:not(.watermark)":"opacity:0;-webkit-transition:opacity 0.3s ease 0s;-moz-transition:opacity 0.3s ease 0s;-ms-transition:opacity 0.3s ease 0s;-o-transition:opacity 0.3s ease 0s;transition:opacity 0.3s ease 0s;","X:hover .modebar--hover .modebar-group":"opacity:1;","X .modebar-group":"float:left;display:inline-block;box-sizing:border-box;padding-left:8px;position:relative;vertical-align:middle;white-space:nowrap;","X .modebar-btn":"position:relative;font-size:16px;padding:3px 4px;height:22px;cursor:pointer;line-height:normal;box-sizing:border-box;","X .modebar-btn svg":"position:relative;top:2px;","X .modebar.vertical":"display:flex;flex-direction:column;flex-wrap:wrap;align-content:flex-end;max-height:100%;","X .modebar.vertical svg":"top:-1px;","X .modebar.vertical .modebar-group":"display:block;float:none;padding-left:0px;padding-bottom:8px;","X .modebar.vertical .modebar-group .modebar-btn":"display:block;text-align:center;","X [data-title]:before,X [data-title]:after":"position:absolute;-webkit-transform:translate3d(0, 0, 0);-moz-transform:translate3d(0, 0, 0);-ms-transform:translate3d(0, 0, 0);-o-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);display:none;opacity:0;z-index:1001;pointer-events:none;top:110%;right:50%;","X [data-title]:hover:before,X [data-title]:hover:after":"display:block;opacity:1;","X [data-title]:before":"content:'';position:absolute;background:transparent;border:6px solid transparent;z-index:1002;margin-top:-12px;border-bottom-color:#69738a;margin-right:-6px;","X [data-title]:after":"content:attr(data-title);background:#69738a;color:white;padding:8px 10px;font-size:12px;line-height:12px;white-space:nowrap;margin-right:-18px;border-radius:2px;","X .vertical [data-title]:before,X .vertical [data-title]:after":"top:0%;right:200%;","X .vertical [data-title]:before":"border:6px solid transparent;border-left-color:#69738a;margin-top:8px;margin-right:-30px;","X .select-outline":"fill:none;stroke-width:1;shape-rendering:crispEdges;","X .select-outline-1":"stroke:white;","X .select-outline-2":"stroke:black;stroke-dasharray:2px 2px;",Y:"font-family:'Open Sans', verdana, arial, sans-serif;position:fixed;top:50px;right:20px;z-index:10000;font-size:10pt;max-width:180px;","Y p":"margin:0;","Y .notifier-note":"min-width:180px;max-width:250px;border:1px solid #fff;z-index:3000;margin:0;background-color:#8c97af;background-color:rgba(140,151,175,0.9);color:#fff;padding:10px;overflow-wrap:break-word;word-wrap:break-word;-ms-hyphens:auto;-webkit-hyphens:auto;hyphens:auto;","Y .notifier-close":"color:#fff;opacity:0.8;float:right;padding:0 5px;background:none;border:none;font-size:20px;font-weight:bold;line-height:20px;","Y .notifier-close:hover":"color:#444;text-decoration:none;cursor:pointer;"};for(var a in i){var o=a.replace(/^,/," ,").replace(/X/g,".js-plotly-plot .plotly").replace(/Y/g,".plotly-notifier");n.addStyleRule(o,i[a])}},{"../src/lib":750}],2:[function(t,e,r){"use strict";e.exports=t("../src/transforms/aggregate")},{"../src/transforms/aggregate":1336}],3:[function(t,e,r){"use strict";e.exports=t("../src/traces/bar")},{"../src/traces/bar":900}],4:[function(t,e,r){"use strict";e.exports=t("../src/traces/barpolar")},{"../src/traces/barpolar":913}],5:[function(t,e,r){"use strict";e.exports=t("../src/traces/box")},{"../src/traces/box":923}],6:[function(t,e,r){"use strict";e.exports=t("../src/components/calendars")},{"../src/components/calendars":613}],7:[function(t,e,r){"use strict";e.exports=t("../src/traces/candlestick")},{"../src/traces/candlestick":932}],8:[function(t,e,r){"use strict";e.exports=t("../src/traces/carpet")},{"../src/traces/carpet":951}],9:[function(t,e,r){"use strict";e.exports=t("../src/traces/choropleth")},{"../src/traces/choropleth":965}],10:[function(t,e,r){"use strict";e.exports=t("../src/traces/choroplethmapbox")},{"../src/traces/choroplethmapbox":972}],11:[function(t,e,r){"use strict";e.exports=t("../src/traces/cone")},{"../src/traces/cone":978}],12:[function(t,e,r){"use strict";e.exports=t("../src/traces/contour")},{"../src/traces/contour":993}],13:[function(t,e,r){"use strict";e.exports=t("../src/traces/contourcarpet")},{"../src/traces/contourcarpet":1004}],14:[function(t,e,r){"use strict";e.exports=t("../src/core")},{"../src/core":727}],15:[function(t,e,r){"use strict";e.exports=t("../src/traces/densitymapbox")},{"../src/traces/densitymapbox":1012}],16:[function(t,e,r){"use strict";e.exports=t("../src/transforms/filter")},{"../src/transforms/filter":1337}],17:[function(t,e,r){"use strict";e.exports=t("../src/traces/funnel")},{"../src/traces/funnel":1022}],18:[function(t,e,r){"use strict";e.exports=t("../src/traces/funnelarea")},{"../src/traces/funnelarea":1031}],19:[function(t,e,r){"use strict";e.exports=t("../src/transforms/groupby")},{"../src/transforms/groupby":1338}],20:[function(t,e,r){"use strict";e.exports=t("../src/traces/heatmap")},{"../src/traces/heatmap":1044}],21:[function(t,e,r){"use strict";e.exports=t("../src/traces/heatmapgl")},{"../src/traces/heatmapgl":1054}],22:[function(t,e,r){"use strict";e.exports=t("../src/traces/histogram")},{"../src/traces/histogram":1066}],23:[function(t,e,r){"use strict";e.exports=t("../src/traces/histogram2d")},{"../src/traces/histogram2d":1072}],24:[function(t,e,r){"use strict";e.exports=t("../src/traces/histogram2dcontour")},{"../src/traces/histogram2dcontour":1076}],25:[function(t,e,r){"use strict";e.exports=t("../src/traces/image")},{"../src/traces/image":1084}],26:[function(t,e,r){"use strict";var n=t("./core");n.register([t("./bar"),t("./box"),t("./heatmap"),t("./histogram"),t("./histogram2d"),t("./histogram2dcontour"),t("./contour"),t("./scatterternary"),t("./violin"),t("./funnel"),t("./waterfall"),t("./image"),t("./pie"),t("./sunburst"),t("./treemap"),t("./funnelarea"),t("./scatter3d"),t("./surface"),t("./isosurface"),t("./volume"),t("./mesh3d"),t("./cone"),t("./streamtube"),t("./scattergeo"),t("./choropleth"),t("./scattergl"),t("./splom"),t("./pointcloud"),t("./heatmapgl"),t("./parcoords"),t("./parcats"),t("./scattermapbox"),t("./choroplethmapbox"),t("./densitymapbox"),t("./sankey"),t("./indicator"),t("./table"),t("./carpet"),t("./scattercarpet"),t("./contourcarpet"),t("./ohlc"),t("./candlestick"),t("./scatterpolar"),t("./scatterpolargl"),t("./barpolar")]),n.register([t("./aggregate"),t("./filter"),t("./groupby"),t("./sort")]),n.register([t("./calendars")]),e.exports=n},{"./aggregate":2,"./bar":3,"./barpolar":4,"./box":5,"./calendars":6,"./candlestick":7,"./carpet":8,"./choropleth":9,"./choroplethmapbox":10,"./cone":11,"./contour":12,"./contourcarpet":13,"./core":14,"./densitymapbox":15,"./filter":16,"./funnel":17,"./funnelarea":18,"./groupby":19,"./heatmap":20,"./heatmapgl":21,"./histogram":22,"./histogram2d":23,"./histogram2dcontour":24,"./image":25,"./indicator":27,"./isosurface":28,"./mesh3d":29,"./ohlc":30,"./parcats":31,"./parcoords":32,"./pie":33,"./pointcloud":34,"./sankey":35,"./scatter3d":36,"./scattercarpet":37,"./scattergeo":38,"./scattergl":39,"./scattermapbox":40,"./scatterpolar":41,"./scatterpolargl":42,"./scatterternary":43,"./sort":44,"./splom":45,"./streamtube":46,"./sunburst":47,"./surface":48,"./table":49,"./treemap":50,"./violin":51,"./volume":52,"./waterfall":53}],27:[function(t,e,r){"use strict";e.exports=t("../src/traces/indicator")},{"../src/traces/indicator":1092}],28:[function(t,e,r){"use strict";e.exports=t("../src/traces/isosurface")},{"../src/traces/isosurface":1098}],29:[function(t,e,r){"use strict";e.exports=t("../src/traces/mesh3d")},{"../src/traces/mesh3d":1103}],30:[function(t,e,r){"use strict";e.exports=t("../src/traces/ohlc")},{"../src/traces/ohlc":1108}],31:[function(t,e,r){"use strict";e.exports=t("../src/traces/parcats")},{"../src/traces/parcats":1117}],32:[function(t,e,r){"use strict";e.exports=t("../src/traces/parcoords")},{"../src/traces/parcoords":1127}],33:[function(t,e,r){"use strict";e.exports=t("../src/traces/pie")},{"../src/traces/pie":1138}],34:[function(t,e,r){"use strict";e.exports=t("../src/traces/pointcloud")},{"../src/traces/pointcloud":1147}],35:[function(t,e,r){"use strict";e.exports=t("../src/traces/sankey")},{"../src/traces/sankey":1153}],36:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatter3d")},{"../src/traces/scatter3d":1191}],37:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattercarpet")},{"../src/traces/scattercarpet":1198}],38:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattergeo")},{"../src/traces/scattergeo":1206}],39:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattergl")},{"../src/traces/scattergl":1219}],40:[function(t,e,r){"use strict";e.exports=t("../src/traces/scattermapbox")},{"../src/traces/scattermapbox":1229}],41:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatterpolar")},{"../src/traces/scatterpolar":1237}],42:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatterpolargl")},{"../src/traces/scatterpolargl":1244}],43:[function(t,e,r){"use strict";e.exports=t("../src/traces/scatterternary")},{"../src/traces/scatterternary":1252}],44:[function(t,e,r){"use strict";e.exports=t("../src/transforms/sort")},{"../src/transforms/sort":1340}],45:[function(t,e,r){"use strict";e.exports=t("../src/traces/splom")},{"../src/traces/splom":1261}],46:[function(t,e,r){"use strict";e.exports=t("../src/traces/streamtube")},{"../src/traces/streamtube":1269}],47:[function(t,e,r){"use strict";e.exports=t("../src/traces/sunburst")},{"../src/traces/sunburst":1277}],48:[function(t,e,r){"use strict";e.exports=t("../src/traces/surface")},{"../src/traces/surface":1286}],49:[function(t,e,r){"use strict";e.exports=t("../src/traces/table")},{"../src/traces/table":1294}],50:[function(t,e,r){"use strict";e.exports=t("../src/traces/treemap")},{"../src/traces/treemap":1303}],51:[function(t,e,r){"use strict";e.exports=t("../src/traces/violin")},{"../src/traces/violin":1315}],52:[function(t,e,r){"use strict";e.exports=t("../src/traces/volume")},{"../src/traces/volume":1323}],53:[function(t,e,r){"use strict";e.exports=t("../src/traces/waterfall")},{"../src/traces/waterfall":1331}],54:[function(t,e,r){"use strict";e.exports=function(t){var e=(t=t||{}).eye||[0,0,1],r=t.center||[0,0,0],s=t.up||[0,1,0],l=t.distanceLimits||[0,1/0],c=t.mode||"turntable",u=n(),h=i(),f=a();return u.setDistanceLimits(l[0],l[1]),u.lookAt(0,e,r,s),h.setDistanceLimits(l[0],l[1]),h.lookAt(0,e,r,s),f.setDistanceLimits(l[0],l[1]),f.lookAt(0,e,r,s),new o({turntable:u,orbit:h,matrix:f},c)};var n=t("turntable-camera-controller"),i=t("orbit-camera-controller"),a=t("matrix-camera-controller");function o(t,e){this._controllerNames=Object.keys(t),this._controllerList=this._controllerNames.map((function(e){return t[e]})),this._mode=e,this._active=t[e],this._active||(this._mode="turntable",this._active=t.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}var s=o.prototype;[["flush",1],["idle",1],["lookAt",4],["rotate",4],["pan",4],["translate",4],["setMatrix",2],["setDistanceLimits",2],["setDistance",2]].forEach((function(t){for(var e=t[0],r=[],n=0;n<t[1];++n)r.push("a"+n);var i="var cc=this._controllerList;for(var i=0;i<cc.length;++i){cc[i]."+t[0]+"("+r.join()+")}";s[e]=Function.apply(null,r.concat(i))})),s.recalcMatrix=function(t){this._active.recalcMatrix(t)},s.getDistance=function(t){return this._active.getDistance(t)},s.getDistanceLimits=function(t){return this._active.getDistanceLimits(t)},s.lastT=function(){return this._active.lastT()},s.setMode=function(t){if(t!==this._mode){var e=this._controllerNames.indexOf(t);if(!(e<0)){var r=this._active,n=this._controllerList[e],i=Math.max(r.lastT(),n.lastT());r.recalcMatrix(i),n.setMatrix(i,r.computedMatrix),this._active=n,this._mode=t,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}}},s.getMode=function(){return this._mode}},{"matrix-camera-controller":454,"orbit-camera-controller":475,"turntable-camera-controller":553}],55:[function(t,e,r){!function(n,i){"object"==typeof r&&"undefined"!=typeof e?i(r,t("d3-array"),t("d3-collection"),t("d3-shape"),t("elementary-circuits-directed-graph")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3,null)}(this,(function(t,e,r,n,i){"use strict";function a(t){return t.target.depth}function o(t,e){return t.sourceLinks.length?t.depth:e-1}function s(t){return function(){return t}}i=i&&i.hasOwnProperty("default")?i.default:i;var l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t};function c(t,e){return h(t.source,e.source)||t.index-e.index}function u(t,e){return h(t.target,e.target)||t.index-e.index}function h(t,e){return t.partOfCycle===e.partOfCycle?t.y0-e.y0:"top"===t.circularLinkType||"bottom"===e.circularLinkType?-1:1}function f(t){return t.value}function p(t){return(t.y0+t.y1)/2}function d(t){return p(t.source)}function g(t){return p(t.target)}function m(t){return t.index}function v(t){return t.nodes}function y(t){return t.links}function x(t,e){var r=t.get(e);if(!r)throw new Error("missing: "+e);return r}function b(t,e){return e(t)}function _(t,e,r){var n=0;if(null===r){for(var a=[],o=0;o<t.links.length;o++){var s=t.links[o],l=s.source.index,c=s.target.index;a[l]||(a[l]=[]),a[c]||(a[c]=[]),-1===a[l].indexOf(c)&&a[l].push(c)}var u=i(a);u.sort((function(t,e){return t.length-e.length}));var h={};for(o=0;o<u.length;o++){var f=u[o].slice(-2);h[f[0]]||(h[f[0]]={}),h[f[0]][f[1]]=!0}t.links.forEach((function(t){var e=t.target.index,r=t.source.index;e===r||h[r]&&h[r][e]?(t.circular=!0,t.circularLinkID=n,n+=1):t.circular=!1}))}else t.links.forEach((function(t){t.source[r]<t.target[r]?t.circular=!1:(t.circular=!0,t.circularLinkID=n,n+=1)}))}function w(t,e){var r=0,n=0;t.links.forEach((function(i){i.circular&&(i.source.circularLinkType||i.target.circularLinkType?i.circularLinkType=i.source.circularLinkType?i.source.circularLinkType:i.target.circularLinkType:i.circularLinkType=r<n?"top":"bottom","top"==i.circularLinkType?r+=1:n+=1,t.nodes.forEach((function(t){b(t,e)!=b(i.source,e)&&b(t,e)!=b(i.target,e)||(t.circularLinkType=i.circularLinkType)})))})),t.links.forEach((function(t){t.circular&&(t.source.circularLinkType==t.target.circularLinkType&&(t.circularLinkType=t.source.circularLinkType),H(t,e)&&(t.circularLinkType=t.source.circularLinkType))}))}function T(t){var e=Math.abs(t.y1-t.y0),r=Math.abs(t.target.x0-t.source.x1);return Math.atan(r/e)}function k(t,e){var r=0;t.sourceLinks.forEach((function(t){r=t.circular&&!H(t,e)?r+1:r}));var n=0;return t.targetLinks.forEach((function(t){n=t.circular&&!H(t,e)?n+1:n})),r+n}function M(t){var e=t.source.sourceLinks,r=0;e.forEach((function(t){r=t.circular?r+1:r}));var n=t.target.targetLinks,i=0;return n.forEach((function(t){i=t.circular?i+1:i})),!(r>1||i>1)}function A(t,e,r){return t.sort(E),t.forEach((function(n,i){var a,o,s=0;if(H(n,r)&&M(n))n.circularPathData.verticalBuffer=s+n.width/2;else{for(var l=0;l<i;l++)if(a=t[i],o=t[l],!(a.source.column<o.target.column||a.target.column>o.source.column)){var c=t[l].circularPathData.verticalBuffer+t[l].width/2+e;s=c>s?c:s}n.circularPathData.verticalBuffer=s+n.width/2}})),t}function S(t,r,i,a){var o=e.min(t.links,(function(t){return t.source.y0}));t.links.forEach((function(t){t.circular&&(t.circularPathData={})})),A(t.links.filter((function(t){return"top"==t.circularLinkType})),r,a),A(t.links.filter((function(t){return"bottom"==t.circularLinkType})),r,a),t.links.forEach((function(e){if(e.circular){if(e.circularPathData.arcRadius=e.width+10,e.circularPathData.leftNodeBuffer=5,e.circularPathData.rightNodeBuffer=5,e.circularPathData.sourceWidth=e.source.x1-e.source.x0,e.circularPathData.sourceX=e.source.x0+e.circularPathData.sourceWidth,e.circularPathData.targetX=e.target.x0,e.circularPathData.sourceY=e.y0,e.circularPathData.targetY=e.y1,H(e,a)&&M(e))e.circularPathData.leftSmallArcRadius=10+e.width/2,e.circularPathData.leftLargeArcRadius=10+e.width/2,e.circularPathData.rightSmallArcRadius=10+e.width/2,e.circularPathData.rightLargeArcRadius=10+e.width/2,"bottom"==e.circularLinkType?(e.circularPathData.verticalFullExtent=e.source.y1+25+e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.rightLargeArcRadius):(e.circularPathData.verticalFullExtent=e.source.y0-25-e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.rightLargeArcRadius);else{var s=e.source.column,l=e.circularLinkType,c=t.links.filter((function(t){return t.source.column==s&&t.circularLinkType==l}));"bottom"==e.circularLinkType?c.sort(L):c.sort(C);var u=0;c.forEach((function(t,n){t.circularLinkID==e.circularLinkID&&(e.circularPathData.leftSmallArcRadius=10+e.width/2+u,e.circularPathData.leftLargeArcRadius=10+e.width/2+n*r+u),u+=t.width})),s=e.target.column,c=t.links.filter((function(t){return t.target.column==s&&t.circularLinkType==l})),"bottom"==e.circularLinkType?c.sort(I):c.sort(P),u=0,c.forEach((function(t,n){t.circularLinkID==e.circularLinkID&&(e.circularPathData.rightSmallArcRadius=10+e.width/2+u,e.circularPathData.rightLargeArcRadius=10+e.width/2+n*r+u),u+=t.width})),"bottom"==e.circularLinkType?(e.circularPathData.verticalFullExtent=Math.max(i,e.source.y1,e.target.y1)+25+e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent-e.circularPathData.rightLargeArcRadius):(e.circularPathData.verticalFullExtent=o-25-e.circularPathData.verticalBuffer,e.circularPathData.verticalLeftInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.leftLargeArcRadius,e.circularPathData.verticalRightInnerExtent=e.circularPathData.verticalFullExtent+e.circularPathData.rightLargeArcRadius)}e.circularPathData.leftInnerExtent=e.circularPathData.sourceX+e.circularPathData.leftNodeBuffer,e.circularPathData.rightInnerExtent=e.circularPathData.targetX-e.circularPathData.rightNodeBuffer,e.circularPathData.leftFullExtent=e.circularPathData.sourceX+e.circularPathData.leftLargeArcRadius+e.circularPathData.leftNodeBuffer,e.circularPathData.rightFullExtent=e.circularPathData.targetX-e.circularPathData.rightLargeArcRadius-e.circularPathData.rightNodeBuffer}if(e.circular)e.path=function(t){var e="";e="top"==t.circularLinkType?"M"+t.circularPathData.sourceX+" "+t.circularPathData.sourceY+" L"+t.circularPathData.leftInnerExtent+" "+t.circularPathData.sourceY+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftSmallArcRadius+" 0 0 0 "+t.circularPathData.leftFullExtent+" "+(t.circularPathData.sourceY-t.circularPathData.leftSmallArcRadius)+" L"+t.circularPathData.leftFullExtent+" "+t.circularPathData.verticalLeftInnerExtent+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftLargeArcRadius+" 0 0 0 "+t.circularPathData.leftInnerExtent+" "+t.circularPathData.verticalFullExtent+" L"+t.circularPathData.rightInnerExtent+" "+t.circularPathData.verticalFullExtent+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightLargeArcRadius+" 0 0 0 "+t.circularPathData.rightFullExtent+" "+t.circularPathData.verticalRightInnerExtent+" L"+t.circularPathData.rightFullExtent+" "+(t.circularPathData.targetY-t.circularPathData.rightSmallArcRadius)+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightSmallArcRadius+" 0 0 0 "+t.circularPathData.rightInnerExtent+" "+t.circularPathData.targetY+" L"+t.circularPathData.targetX+" "+t.circularPathData.targetY:"M"+t.circularPathData.sourceX+" "+t.circularPathData.sourceY+" L"+t.circularPathData.leftInnerExtent+" "+t.circularPathData.sourceY+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftSmallArcRadius+" 0 0 1 "+t.circularPathData.leftFullExtent+" "+(t.circularPathData.sourceY+t.circularPathData.leftSmallArcRadius)+" L"+t.circularPathData.leftFullExtent+" "+t.circularPathData.verticalLeftInnerExtent+" A"+t.circularPathData.leftLargeArcRadius+" "+t.circularPathData.leftLargeArcRadius+" 0 0 1 "+t.circularPathData.leftInnerExtent+" "+t.circularPathData.verticalFullExtent+" L"+t.circularPathData.rightInnerExtent+" "+t.circularPathData.verticalFullExtent+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightLargeArcRadius+" 0 0 1 "+t.circularPathData.rightFullExtent+" "+t.circularPathData.verticalRightInnerExtent+" L"+t.circularPathData.rightFullExtent+" "+(t.circularPathData.targetY+t.circularPathData.rightSmallArcRadius)+" A"+t.circularPathData.rightLargeArcRadius+" "+t.circularPathData.rightSmallArcRadius+" 0 0 1 "+t.circularPathData.rightInnerExtent+" "+t.circularPathData.targetY+" L"+t.circularPathData.targetX+" "+t.circularPathData.targetY;return e}(e);else{var h=n.linkHorizontal().source((function(t){return[t.source.x0+(t.source.x1-t.source.x0),t.y0]})).target((function(t){return[t.target.x0,t.y1]}));e.path=h(e)}}))}function E(t,e){return z(t)==z(e)?"bottom"==t.circularLinkType?L(t,e):C(t,e):z(e)-z(t)}function C(t,e){return t.y0-e.y0}function L(t,e){return e.y0-t.y0}function P(t,e){return t.y1-e.y1}function I(t,e){return e.y1-t.y1}function z(t){return t.target.column-t.source.column}function O(t){return t.target.x0-t.source.x1}function D(t,e){var r=T(t),n=O(e)/Math.tan(r);return"up"==q(t)?t.y1+n:t.y1-n}function R(t,e){var r=T(t),n=O(e)/Math.tan(r);return"up"==q(t)?t.y1-n:t.y1+n}function F(t,e,r,n){t.links.forEach((function(i){if(!i.circular&&i.target.column-i.source.column>1){var a=i.source.column+1,o=i.target.column-1,s=1,l=o-a+1;for(s=1;a<=o;a++,s++)t.nodes.forEach((function(o){if(o.column==a){var c,u=s/(l+1),h=Math.pow(1-u,3),f=3*u*Math.pow(1-u,2),p=3*Math.pow(u,2)*(1-u),d=Math.pow(u,3),g=h*i.y0+f*i.y0+p*i.y1+d*i.y1,m=g-i.width/2,v=g+i.width/2;m>o.y0&&m<o.y1?(c=o.y1-m+10,c="bottom"==o.circularLinkType?c:-c,o=N(o,c,e,r),t.nodes.forEach((function(t){b(t,n)!=b(o,n)&&t.column==o.column&&B(o,t)&&N(t,c,e,r)}))):(v>o.y0&&v<o.y1||m<o.y0&&v>o.y1)&&(c=v-o.y0+10,o=N(o,c,e,r),t.nodes.forEach((function(t){b(t,n)!=b(o,n)&&t.column==o.column&&t.y0<o.y1&&t.y1>o.y1&&N(t,c,e,r)})))}}))}}))}function B(t,e){return t.y0>e.y0&&t.y0<e.y1||(t.y1>e.y0&&t.y1<e.y1||t.y0<e.y0&&t.y1>e.y1)}function N(t,e,r,n){return t.y0+e>=r&&t.y1+e<=n&&(t.y0=t.y0+e,t.y1=t.y1+e,t.targetLinks.forEach((function(t){t.y1=t.y1+e})),t.sourceLinks.forEach((function(t){t.y0=t.y0+e}))),t}function j(t,e,r,n){t.nodes.forEach((function(i){n&&i.y+(i.y1-i.y0)>e&&(i.y=i.y-(i.y+(i.y1-i.y0)-e));var a=t.links.filter((function(t){return b(t.source,r)==b(i,r)})),o=a.length;o>1&&a.sort((function(t,e){if(!t.circular&&!e.circular){if(t.target.column==e.target.column)return t.y1-e.y1;if(!V(t,e))return t.y1-e.y1;if(t.target.column>e.target.column){var r=R(e,t);return t.y1-r}if(e.target.column>t.target.column)return R(t,e)-e.y1}return t.circular&&!e.circular?"top"==t.circularLinkType?-1:1:e.circular&&!t.circular?"top"==e.circularLinkType?1:-1:t.circular&&e.circular?t.circularLinkType===e.circularLinkType&&"top"==t.circularLinkType?t.target.column===e.target.column?t.target.y1-e.target.y1:e.target.column-t.target.column:t.circularLinkType===e.circularLinkType&&"bottom"==t.circularLinkType?t.target.column===e.target.column?e.target.y1-t.target.y1:t.target.column-e.target.column:"top"==t.circularLinkType?-1:1:void 0}));var s=i.y0;a.forEach((function(t){t.y0=s+t.width/2,s+=t.width})),a.forEach((function(t,e){if("bottom"==t.circularLinkType){for(var r=e+1,n=0;r<o;r++)n+=a[r].width;t.y0=i.y1-n-t.width/2}}))}))}function U(t,e,r){t.nodes.forEach((function(e){var n=t.links.filter((function(t){return b(t.target,r)==b(e,r)})),i=n.length;i>1&&n.sort((function(t,e){if(!t.circular&&!e.circular){if(t.source.column==e.source.column)return t.y0-e.y0;if(!V(t,e))return t.y0-e.y0;if(e.source.column<t.source.column){var r=D(e,t);return t.y0-r}if(t.source.column<e.source.column)return D(t,e)-e.y0}return t.circular&&!e.circular?"top"==t.circularLinkType?-1:1:e.circular&&!t.circular?"top"==e.circularLinkType?1:-1:t.circular&&e.circular?t.circularLinkType===e.circularLinkType&&"top"==t.circularLinkType?t.source.column===e.source.column?t.source.y1-e.source.y1:t.source.column-e.source.column:t.circularLinkType===e.circularLinkType&&"bottom"==t.circularLinkType?t.source.column===e.source.column?t.source.y1-e.source.y1:e.source.column-t.source.column:"top"==t.circularLinkType?-1:1:void 0}));var a=e.y0;n.forEach((function(t){t.y1=a+t.width/2,a+=t.width})),n.forEach((function(t,r){if("bottom"==t.circularLinkType){for(var a=r+1,o=0;a<i;a++)o+=n[a].width;t.y1=e.y1-o-t.width/2}}))}))}function V(t,e){return q(t)==q(e)}function q(t){return t.y0-t.y1>0?"up":"down"}function H(t,e){return b(t.source,e)==b(t.target,e)}function G(t,r,n){var i=t.nodes,a=t.links,o=!1,s=!1;if(a.forEach((function(t){"top"==t.circularLinkType?o=!0:"bottom"==t.circularLinkType&&(s=!0)})),0==o||0==s){var l=e.min(i,(function(t){return t.y0})),c=(n-r)/(e.max(i,(function(t){return t.y1}))-l);i.forEach((function(t){var e=(t.y1-t.y0)*c;t.y0=(t.y0-l)*c,t.y1=t.y0+e})),a.forEach((function(t){t.y0=(t.y0-l)*c,t.y1=(t.y1-l)*c,t.width=t.width*c}))}}t.sankeyCircular=function(){var t,n,i=0,a=0,b=1,T=1,M=24,A=m,E=o,C=v,L=y,P=32,I=2,z=null;function O(){var t={nodes:C.apply(null,arguments),links:L.apply(null,arguments)};D(t),_(t,A,z),R(t),B(t),w(t,A),N(t,P,A),V(t);for(var e=4,r=0;r<e;r++)j(t,T,A),U(t,T,A),F(t,a,T,A),j(t,T,A),U(t,T,A);return G(t,a,T),S(t,I,T,A),t}function D(t){t.nodes.forEach((function(t,e){t.index=e,t.sourceLinks=[],t.targetLinks=[]}));var e=r.map(t.nodes,A);return t.links.forEach((function(t,r){t.index=r;var n=t.source,i=t.target;"object"!==("undefined"==typeof n?"undefined":l(n))&&(n=t.source=x(e,n)),"object"!==("undefined"==typeof i?"undefined":l(i))&&(i=t.target=x(e,i)),n.sourceLinks.push(t),i.targetLinks.push(t)})),t}function R(t){t.nodes.forEach((function(t){t.partOfCycle=!1,t.value=Math.max(e.sum(t.sourceLinks,f),e.sum(t.targetLinks,f)),t.sourceLinks.forEach((function(e){e.circular&&(t.partOfCycle=!0,t.circularLinkType=e.circularLinkType)})),t.targetLinks.forEach((function(e){e.circular&&(t.partOfCycle=!0,t.circularLinkType=e.circularLinkType)}))}))}function B(t){var e,r,n;for(e=t.nodes,r=[],n=0;e.length;++n,e=r,r=[])e.forEach((function(t){t.depth=n,t.sourceLinks.forEach((function(t){r.indexOf(t.target)<0&&!t.circular&&r.push(t.target)}))}));for(e=t.nodes,r=[],n=0;e.length;++n,e=r,r=[])e.forEach((function(t){t.height=n,t.targetLinks.forEach((function(t){r.indexOf(t.source)<0&&!t.circular&&r.push(t.source)}))}));t.nodes.forEach((function(t){t.column=Math.floor(E.call(null,t,n))}))}function N(o,s,l){var c=r.nest().key((function(t){return t.column})).sortKeys(e.ascending).entries(o.nodes).map((function(t){return t.values}));!function(r){if(n){var s=1/0;c.forEach((function(t){var e=T*n/(t.length+1);s=e<s?e:s})),t=s}var l=e.min(c,(function(r){return(T-a-(r.length-1)*t)/e.sum(r,f)}));l*=.3,o.links.forEach((function(t){t.width=t.value*l}));var u=function(t){var r=0,n=0,i=0,a=0,o=e.max(t.nodes,(function(t){return t.column}));return t.links.forEach((function(t){t.circular&&("top"==t.circularLinkType?r+=t.width:n+=t.width,0==t.target.column&&(a+=t.width),t.source.column==o&&(i+=t.width))})),{top:r=r>0?r+25+10:r,bottom:n=n>0?n+25+10:n,left:a=a>0?a+25+10:a,right:i=i>0?i+25+10:i}}(o),h=function(t,r){var n=e.max(t.nodes,(function(t){return t.column})),o=b-i,s=T-a,l=o/(o+r.right+r.left),c=s/(s+r.top+r.bottom);return i=i*l+r.left,b=0==r.right?b:b*l,a=a*c+r.top,T*=c,t.nodes.forEach((function(t){t.x0=i+t.column*((b-i-M)/n),t.x1=t.x0+M})),c}(o,u);l*=h,o.links.forEach((function(t){t.width=t.value*l})),c.forEach((function(t){var e=t.length;t.forEach((function(t,n){t.depth==c.length-1&&1==e||0==t.depth&&1==e?(t.y0=T/2-t.value*l,t.y1=t.y0+t.value*l):t.partOfCycle?0==k(t,r)?(t.y0=T/2+n,t.y1=t.y0+t.value*l):"top"==t.circularLinkType?(t.y0=a+n,t.y1=t.y0+t.value*l):(t.y0=T-t.value*l-n,t.y1=t.y0+t.value*l):0==u.top||0==u.bottom?(t.y0=(T-a)/e*n,t.y1=t.y0+t.value*l):(t.y0=(T-a)/2-e/2+n,t.y1=t.y0+t.value*l)}))}))}(l),y();for(var u=1,m=s;m>0;--m)v(u*=.99,l),y();function v(t,r){var n=c.length;c.forEach((function(i){var a=i.length,o=i[0].depth;i.forEach((function(i){var s;if(i.sourceLinks.length||i.targetLinks.length)if(i.partOfCycle&&k(i,r)>0);else if(0==o&&1==a)s=i.y1-i.y0,i.y0=T/2-s/2,i.y1=T/2+s/2;else if(o==n-1&&1==a)s=i.y1-i.y0,i.y0=T/2-s/2,i.y1=T/2+s/2;else{var l=e.mean(i.sourceLinks,g),c=e.mean(i.targetLinks,d),u=((l&&c?(l+c)/2:l||c)-p(i))*t;i.y0+=u,i.y1+=u}}))}))}function y(){c.forEach((function(e){var r,n,i,o=a,s=e.length;for(e.sort(h),i=0;i<s;++i)(n=o-(r=e[i]).y0)>0&&(r.y0+=n,r.y1+=n),o=r.y1+t;if((n=o-t-T)>0)for(o=r.y0-=n,r.y1-=n,i=s-2;i>=0;--i)(n=(r=e[i]).y1+t-o)>0&&(r.y0-=n,r.y1-=n),o=r.y0}))}}function V(t){t.nodes.forEach((function(t){t.sourceLinks.sort(u),t.targetLinks.sort(c)})),t.nodes.forEach((function(t){var e=t.y0,r=e,n=t.y1,i=n;t.sourceLinks.forEach((function(t){t.circular?(t.y0=n-t.width/2,n-=t.width):(t.y0=e+t.width/2,e+=t.width)})),t.targetLinks.forEach((function(t){t.circular?(t.y1=i-t.width/2,i-=t.width):(t.y1=r+t.width/2,r+=t.width)}))}))}return O.nodeId=function(t){return arguments.length?(A="function"==typeof t?t:s(t),O):A},O.nodeAlign=function(t){return arguments.length?(E="function"==typeof t?t:s(t),O):E},O.nodeWidth=function(t){return arguments.length?(M=+t,O):M},O.nodePadding=function(e){return arguments.length?(t=+e,O):t},O.nodes=function(t){return arguments.length?(C="function"==typeof t?t:s(t),O):C},O.links=function(t){return arguments.length?(L="function"==typeof t?t:s(t),O):L},O.size=function(t){return arguments.length?(i=a=0,b=+t[0],T=+t[1],O):[b-i,T-a]},O.extent=function(t){return arguments.length?(i=+t[0][0],b=+t[1][0],a=+t[0][1],T=+t[1][1],O):[[i,a],[b,T]]},O.iterations=function(t){return arguments.length?(P=+t,O):P},O.circularLinkGap=function(t){return arguments.length?(I=+t,O):I},O.nodePaddingRatio=function(t){return arguments.length?(n=+t,O):n},O.sortNodes=function(t){return arguments.length?(z=t,O):z},O.update=function(t){return w(t,A),V(t),t.links.forEach((function(t){t.circular&&(t.circularLinkType=t.y0+t.y1<T?"top":"bottom",t.source.circularLinkType=t.circularLinkType,t.target.circularLinkType=t.circularLinkType)})),j(t,T,A,!1),U(t,T,A),S(t,I,T,A),t},O},t.sankeyCenter=function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?e.min(t.sourceLinks,a)-1:0},t.sankeyLeft=function(t){return t.depth},t.sankeyRight=function(t,e){return e-1-t.height},t.sankeyJustify=o,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-array":156,"d3-collection":157,"d3-shape":165,"elementary-circuits-directed-graph":179}],56:[function(t,e,r){!function(n,i){"object"==typeof r&&"undefined"!=typeof e?i(r,t("d3-array"),t("d3-collection"),t("d3-shape")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3)}(this,(function(t,e,r,n){"use strict";function i(t){return t.target.depth}function a(t,e){return t.sourceLinks.length?t.depth:e-1}function o(t){return function(){return t}}function s(t,e){return c(t.source,e.source)||t.index-e.index}function l(t,e){return c(t.target,e.target)||t.index-e.index}function c(t,e){return t.y0-e.y0}function u(t){return t.value}function h(t){return(t.y0+t.y1)/2}function f(t){return h(t.source)*t.value}function p(t){return h(t.target)*t.value}function d(t){return t.index}function g(t){return t.nodes}function m(t){return t.links}function v(t,e){var r=t.get(e);if(!r)throw new Error("missing: "+e);return r}function y(t){return[t.source.x1,t.y0]}function x(t){return[t.target.x0,t.y1]}t.sankey=function(){var t=0,n=0,i=1,y=1,x=24,b=8,_=d,w=a,T=g,k=m,M=32;function A(){var t={nodes:T.apply(null,arguments),links:k.apply(null,arguments)};return S(t),E(t),C(t),L(t),P(t),t}function S(t){t.nodes.forEach((function(t,e){t.index=e,t.sourceLinks=[],t.targetLinks=[]}));var e=r.map(t.nodes,_);t.links.forEach((function(t,r){t.index=r;var n=t.source,i=t.target;"object"!=typeof n&&(n=t.source=v(e,n)),"object"!=typeof i&&(i=t.target=v(e,i)),n.sourceLinks.push(t),i.targetLinks.push(t)}))}function E(t){t.nodes.forEach((function(t){t.value=Math.max(e.sum(t.sourceLinks,u),e.sum(t.targetLinks,u))}))}function C(e){var r,n,a;for(r=e.nodes,n=[],a=0;r.length;++a,r=n,n=[])r.forEach((function(t){t.depth=a,t.sourceLinks.forEach((function(t){n.indexOf(t.target)<0&&n.push(t.target)}))}));for(r=e.nodes,n=[],a=0;r.length;++a,r=n,n=[])r.forEach((function(t){t.height=a,t.targetLinks.forEach((function(t){n.indexOf(t.source)<0&&n.push(t.source)}))}));var o=(i-t-x)/(a-1);e.nodes.forEach((function(e){e.x1=(e.x0=t+Math.max(0,Math.min(a-1,Math.floor(w.call(null,e,a))))*o)+x}))}function L(t){var i=r.nest().key((function(t){return t.x0})).sortKeys(e.ascending).entries(t.nodes).map((function(t){return t.values}));!function(){var r=e.max(i,(function(t){return t.length})),a=2/3*(y-n)/(r-1);b>a&&(b=a);var o=e.min(i,(function(t){return(y-n-(t.length-1)*b)/e.sum(t,u)}));i.forEach((function(t){t.forEach((function(t,e){t.y1=(t.y0=e)+t.value*o}))})),t.links.forEach((function(t){t.width=t.value*o}))}(),d();for(var a=1,o=M;o>0;--o)l(a*=.99),d(),s(a),d();function s(t){i.forEach((function(r){r.forEach((function(r){if(r.targetLinks.length){var n=(e.sum(r.targetLinks,f)/e.sum(r.targetLinks,u)-h(r))*t;r.y0+=n,r.y1+=n}}))}))}function l(t){i.slice().reverse().forEach((function(r){r.forEach((function(r){if(r.sourceLinks.length){var n=(e.sum(r.sourceLinks,p)/e.sum(r.sourceLinks,u)-h(r))*t;r.y0+=n,r.y1+=n}}))}))}function d(){i.forEach((function(t){var e,r,i,a=n,o=t.length;for(t.sort(c),i=0;i<o;++i)(r=a-(e=t[i]).y0)>0&&(e.y0+=r,e.y1+=r),a=e.y1+b;if((r=a-b-y)>0)for(a=e.y0-=r,e.y1-=r,i=o-2;i>=0;--i)(r=(e=t[i]).y1+b-a)>0&&(e.y0-=r,e.y1-=r),a=e.y0}))}}function P(t){t.nodes.forEach((function(t){t.sourceLinks.sort(l),t.targetLinks.sort(s)})),t.nodes.forEach((function(t){var e=t.y0,r=e;t.sourceLinks.forEach((function(t){t.y0=e+t.width/2,e+=t.width})),t.targetLinks.forEach((function(t){t.y1=r+t.width/2,r+=t.width}))}))}return A.update=function(t){return P(t),t},A.nodeId=function(t){return arguments.length?(_="function"==typeof t?t:o(t),A):_},A.nodeAlign=function(t){return arguments.length?(w="function"==typeof t?t:o(t),A):w},A.nodeWidth=function(t){return arguments.length?(x=+t,A):x},A.nodePadding=function(t){return arguments.length?(b=+t,A):b},A.nodes=function(t){return arguments.length?(T="function"==typeof t?t:o(t),A):T},A.links=function(t){return arguments.length?(k="function"==typeof t?t:o(t),A):k},A.size=function(e){return arguments.length?(t=n=0,i=+e[0],y=+e[1],A):[i-t,y-n]},A.extent=function(e){return arguments.length?(t=+e[0][0],i=+e[1][0],n=+e[0][1],y=+e[1][1],A):[[t,n],[i,y]]},A.iterations=function(t){return arguments.length?(M=+t,A):M},A},t.sankeyCenter=function(t){return t.targetLinks.length?t.depth:t.sourceLinks.length?e.min(t.sourceLinks,i)-1:0},t.sankeyLeft=function(t){return t.depth},t.sankeyRight=function(t,e){return e-1-t.height},t.sankeyJustify=a,t.sankeyLinkHorizontal=function(){return n.linkHorizontal().source(y).target(x)},Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-array":156,"d3-collection":157,"d3-shape":165}],57:[function(t,e,r){"use strict";e.exports=t("./quad")},{"./quad":58}],58:[function(t,e,r){"use strict";var n=t("binary-search-bounds"),i=t("clamp"),a=t("parse-rect"),o=t("array-bounds"),s=t("pick-by-alias"),l=t("defined"),c=t("flatten-vertex-data"),u=t("is-obj"),h=t("dtype"),f=t("math-log2");function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return s}e.exports=function(t,e){e||(e={}),t=c(t,"float64"),e=s(e,{bounds:"range bounds dataBox databox",maxDepth:"depth maxDepth maxdepth level maxLevel maxlevel levels",dtype:"type dtype format out dst output destination"});var r=l(e.maxDepth,255),i=l(e.bounds,o(t,2));i[0]===i[2]&&i[2]++,i[1]===i[3]&&i[3]++;var d,g=p(t,i),m=t.length>>>1;e.dtype||(e.dtype="array"),"string"==typeof e.dtype?d=new(h(e.dtype))(m):e.dtype&&(d=e.dtype,Array.isArray(d)&&(d.length=m));for(var v=0;v<m;++v)d[v]=v;var y=[],x=[],b=[],_=[];!function t(e,n,i,a,o,s){if(!a.length)return null;var l=y[o]||(y[o]=[]),c=b[o]||(b[o]=[]),u=x[o]||(x[o]=[]),h=l.length;if(++o>r||s>1073741824){for(var f=0;f<a.length;f++)l.push(a[f]),c.push(s),u.push(null,null,null,null);return h}if(l.push(a[0]),c.push(s),a.length<=1)return u.push(null,null,null,null),h;for(var p=.5*i,d=e+p,m=n+p,v=[],_=[],w=[],T=[],k=1,M=a.length;k<M;k++){var A=a[k],S=g[2*A],E=g[2*A+1];S<d?E<m?v.push(A):_.push(A):E<m?w.push(A):T.push(A)}return s<<=2,u.push(t(e,n,p,v,o,s),t(e,m,p,_,o,s+1),t(d,n,p,w,o,s+2),t(d,m,p,T,o,s+3)),h}(0,0,1,d,0,1);for(var w=0,T=0;T<y.length;T++){var k=y[T];if(d.set)d.set(k,w);else for(var M=0,A=k.length;M<A;M++)d[M+w]=k[M];var S=w+y[T].length;_[T]=[w,S],w=S}return d.range=function(){var e,r=[],n=arguments.length;for(;n--;)r[n]=arguments[n];if(u(r[r.length-1])){var o=r.pop();r.length||null==o.x&&null==o.l&&null==o.left||(r=[o],e={}),e=s(o,{level:"level maxLevel",d:"d diam diameter r radius px pxSize pixel pixelSize maxD size minSize",lod:"lod details ranges offsets"})}else e={};r.length||(r=i);var c=a.apply(void 0,r),h=[Math.min(c.x,c.x+c.width),Math.min(c.y,c.y+c.height),Math.max(c.x,c.x+c.width),Math.max(c.y,c.y+c.height)],d=h[0],g=h[1],m=h[2],v=h[3],b=p([d,g,m,v],i),_=b[0],w=b[1],T=b[2],k=b[3],M=l(e.level,y.length);if(null!=e.d){var A;"number"==typeof e.d?A=[e.d,e.d]:e.d.length&&(A=e.d),M=Math.min(Math.max(Math.ceil(-f(Math.abs(A[0])/(i[2]-i[0]))),Math.ceil(-f(Math.abs(A[1])/(i[3]-i[1])))),M)}if(M=Math.min(M,y.length),e.lod)return E(_,w,T,k,M);var S=[];function C(e,r,n,i,a,o){if(null!==a&&null!==o&&!(_>e+n||w>r+n||T<e||k<r||i>=M||a===o)){var s=y[i];void 0===o&&(o=s.length);for(var l=a;l<o;l++){var c=s[l],u=t[2*c],h=t[2*c+1];u>=d&&u<=m&&h>=g&&h<=v&&S.push(c)}var f=x[i],p=f[4*a+0],b=f[4*a+1],A=f[4*a+2],E=f[4*a+3],P=L(f,a+1),I=.5*n,z=i+1;C(e,r,I,z,p,b||A||E||P),C(e,r+I,I,z,b,A||E||P),C(e+I,r,I,z,A,E||P),C(e+I,r+I,I,z,E,P)}}function L(t,e){for(var r=null,n=0;null===r;)if(r=t[4*e+n],++n>t.length)return null;return r}return C(0,0,1,0,0,1),S},d;function E(t,e,r,i,a){for(var o=[],s=0;s<a;s++){var l=b[s],c=_[s][0],u=C(t,e,s),h=C(r,i,s),f=n.ge(l,u),p=n.gt(l,h,f,l.length-1);o[s]=[f+c,p+c]}return o}function C(t,e,r){for(var n=1,i=.5,a=.5,o=.5,s=0;s<r;s++)n<<=2,n+=t<i?e<a?0:1:e<a?2:3,o*=.5,i+=t<i?-o:o,a+=e<a?-o:o;return n}}},{"array-bounds":70,"binary-search-bounds":96,clamp:120,defined:170,dtype:175,"flatten-vertex-data":244,"is-obj":442,"math-log2":453,"parse-rect":478,"pick-by-alias":485}],59:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/meta");function i(t){var e=0;if(t&&t.length>0){e+=Math.abs(a(t[0]));for(var r=1;r<t.length;r++)e-=Math.abs(a(t[r]))}return e}function a(t){var e,r,n,i,a,s,l=0,c=t.length;if(c>2){for(s=0;s<c;s++)s===c-2?(n=c-2,i=c-1,a=0):s===c-1?(n=c-1,i=0,a=1):(n=s,i=s+1,a=s+2),e=t[n],r=t[i],l+=(o(t[a][0])-o(e[0]))*Math.sin(o(r[1]));l=6378137*l*6378137/2}return l}function o(t){return t*Math.PI/180}r.default=function(t){return n.geomReduce(t,(function(t,e){return t+function(t){var e,r=0;switch(t.type){case"Polygon":return i(t.coordinates);case"MultiPolygon":for(e=0;e<t.coordinates.length;e++)r+=i(t.coordinates[e]);return r;case"Point":case"MultiPoint":case"LineString":case"MultiLineString":return 0}return 0}(e)}),0)}},{"@turf/meta":63}],60:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/meta");r.default=function(t){var e=[1/0,1/0,-1/0,-1/0];return n.coordEach(t,(function(t){e[0]>t[0]&&(e[0]=t[0]),e[1]>t[1]&&(e[1]=t[1]),e[2]<t[0]&&(e[2]=t[0]),e[3]<t[1]&&(e[3]=t[1])})),e}},{"@turf/meta":63}],61:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/meta"),i=t("@turf/helpers");r.default=function(t,e){void 0===e&&(e={});var r=0,a=0,o=0;return n.coordEach(t,(function(t){r+=t[0],a+=t[1],o++})),i.point([r/o,a/o],e.properties)}},{"@turf/helpers":62,"@turf/meta":63}],62:[function(t,e,r){"use strict";function n(t,e,r){void 0===r&&(r={});var n={type:"Feature"};return(0===r.id||r.id)&&(n.id=r.id),r.bbox&&(n.bbox=r.bbox),n.properties=e||{},n.geometry=t,n}function i(t,e,r){return void 0===r&&(r={}),n({type:"Point",coordinates:t},e,r)}function a(t,e,r){void 0===r&&(r={});for(var i=0,a=t;i<a.length;i++){var o=a[i];if(o.length<4)throw new Error("Each LinearRing of a Polygon must have 4 or more Positions.");for(var s=0;s<o[o.length-1].length;s++)if(o[o.length-1][s]!==o[0][s])throw new Error("First and last Position are not equivalent.")}return n({type:"Polygon",coordinates:t},e,r)}function o(t,e,r){if(void 0===r&&(r={}),t.length<2)throw new Error("coordinates must be an array of two or more positions");return n({type:"LineString",coordinates:t},e,r)}function s(t,e){void 0===e&&(e={});var r={type:"FeatureCollection"};return e.id&&(r.id=e.id),e.bbox&&(r.bbox=e.bbox),r.features=t,r}function l(t,e,r){return void 0===r&&(r={}),n({type:"MultiLineString",coordinates:t},e,r)}function c(t,e,r){return void 0===r&&(r={}),n({type:"MultiPoint",coordinates:t},e,r)}function u(t,e,r){return void 0===r&&(r={}),n({type:"MultiPolygon",coordinates:t},e,r)}function h(t,e){void 0===e&&(e="kilometers");var n=r.factors[e];if(!n)throw new Error(e+" units is invalid");return t*n}function f(t,e){void 0===e&&(e="kilometers");var n=r.factors[e];if(!n)throw new Error(e+" units is invalid");return t/n}function p(t){return 180*(t%(2*Math.PI))/Math.PI}function d(t){return!isNaN(t)&&null!==t&&!Array.isArray(t)&&!/^\s*$/.test(t)}Object.defineProperty(r,"__esModule",{value:!0}),r.earthRadius=6371008.8,r.factors={centimeters:100*r.earthRadius,centimetres:100*r.earthRadius,degrees:r.earthRadius/111325,feet:3.28084*r.earthRadius,inches:39.37*r.earthRadius,kilometers:r.earthRadius/1e3,kilometres:r.earthRadius/1e3,meters:r.earthRadius,metres:r.earthRadius,miles:r.earthRadius/1609.344,millimeters:1e3*r.earthRadius,millimetres:1e3*r.earthRadius,nauticalmiles:r.earthRadius/1852,radians:1,yards:r.earthRadius/1.0936},r.unitsFactors={centimeters:100,centimetres:100,degrees:1/111325,feet:3.28084,inches:39.37,kilometers:.001,kilometres:.001,meters:1,metres:1,miles:1/1609.344,millimeters:1e3,millimetres:1e3,nauticalmiles:1/1852,radians:1/r.earthRadius,yards:1/1.0936},r.areaFactors={acres:247105e-9,centimeters:1e4,centimetres:1e4,feet:10.763910417,inches:1550.003100006,kilometers:1e-6,kilometres:1e-6,meters:1,metres:1,miles:386e-9,millimeters:1e6,millimetres:1e6,yards:1.195990046},r.feature=n,r.geometry=function(t,e,r){switch(void 0===r&&(r={}),t){case"Point":return i(e).geometry;case"LineString":return o(e).geometry;case"Polygon":return a(e).geometry;case"MultiPoint":return c(e).geometry;case"MultiLineString":return l(e).geometry;case"MultiPolygon":return u(e).geometry;default:throw new Error(t+" is invalid")}},r.point=i,r.points=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return i(t,e)})),r)},r.polygon=a,r.polygons=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return a(t,e)})),r)},r.lineString=o,r.lineStrings=function(t,e,r){return void 0===r&&(r={}),s(t.map((function(t){return o(t,e)})),r)},r.featureCollection=s,r.multiLineString=l,r.multiPoint=c,r.multiPolygon=u,r.geometryCollection=function(t,e,r){return void 0===r&&(r={}),n({type:"GeometryCollection",geometries:t},e,r)},r.round=function(t,e){if(void 0===e&&(e=0),e&&!(e>=0))throw new Error("precision must be a positive number");var r=Math.pow(10,e||0);return Math.round(t*r)/r},r.radiansToLength=h,r.lengthToRadians=f,r.lengthToDegrees=function(t,e){return p(f(t,e))},r.bearingToAzimuth=function(t){var e=t%360;return e<0&&(e+=360),e},r.radiansToDegrees=p,r.degreesToRadians=function(t){return t%360*Math.PI/180},r.convertLength=function(t,e,r){if(void 0===e&&(e="kilometers"),void 0===r&&(r="kilometers"),!(t>=0))throw new Error("length must be a positive number");return h(f(t,e),r)},r.convertArea=function(t,e,n){if(void 0===e&&(e="meters"),void 0===n&&(n="kilometers"),!(t>=0))throw new Error("area must be a positive number");var i=r.areaFactors[e];if(!i)throw new Error("invalid original units");var a=r.areaFactors[n];if(!a)throw new Error("invalid final units");return t/i*a},r.isNumber=d,r.isObject=function(t){return!!t&&t.constructor===Object},r.validateBBox=function(t){if(!t)throw new Error("bbox is required");if(!Array.isArray(t))throw new Error("bbox must be an Array");if(4!==t.length&&6!==t.length)throw new Error("bbox must be an Array of 4 or 6 numbers");t.forEach((function(t){if(!d(t))throw new Error("bbox must only contain numbers")}))},r.validateId=function(t){if(!t)throw new Error("id is required");if(-1===["string","number"].indexOf(typeof t))throw new Error("id must be a number or a string")},r.radians2degrees=function(){throw new Error("method has been renamed to `radiansToDegrees`")},r.degrees2radians=function(){throw new Error("method has been renamed to `degreesToRadians`")},r.distanceToDegrees=function(){throw new Error("method has been renamed to `lengthToDegrees`")},r.distanceToRadians=function(){throw new Error("method has been renamed to `lengthToRadians`")},r.radiansToDistance=function(){throw new Error("method has been renamed to `radiansToLength`")},r.bearingToAngle=function(){throw new Error("method has been renamed to `bearingToAzimuth`")},r.convertDistance=function(){throw new Error("method has been renamed to `convertLength`")}},{}],63:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=t("@turf/helpers");function i(t,e,r){if(null!==t)for(var n,a,o,s,l,c,u,h,f=0,p=0,d=t.type,g="FeatureCollection"===d,m="Feature"===d,v=g?t.features.length:1,y=0;y<v;y++){l=(h=!!(u=g?t.features[y].geometry:m?t.geometry:t)&&"GeometryCollection"===u.type)?u.geometries.length:1;for(var x=0;x<l;x++){var b=0,_=0;if(null!==(s=h?u.geometries[x]:u)){c=s.coordinates;var w=s.type;switch(f=!r||"Polygon"!==w&&"MultiPolygon"!==w?0:1,w){case null:break;case"Point":if(!1===e(c,p,y,b,_))return!1;p++,b++;break;case"LineString":case"MultiPoint":for(n=0;n<c.length;n++){if(!1===e(c[n],p,y,b,_))return!1;p++,"MultiPoint"===w&&b++}"LineString"===w&&b++;break;case"Polygon":case"MultiLineString":for(n=0;n<c.length;n++){for(a=0;a<c[n].length-f;a++){if(!1===e(c[n][a],p,y,b,_))return!1;p++}"MultiLineString"===w&&b++,"Polygon"===w&&_++}"Polygon"===w&&b++;break;case"MultiPolygon":for(n=0;n<c.length;n++){for(_=0,a=0;a<c[n].length;a++){for(o=0;o<c[n][a].length-f;o++){if(!1===e(c[n][a][o],p,y,b,_))return!1;p++}_++}b++}break;case"GeometryCollection":for(n=0;n<s.geometries.length;n++)if(!1===i(s.geometries[n],e,r))return!1;break;default:throw new Error("Unknown Geometry Type")}}}}}function a(t,e){var r;switch(t.type){case"FeatureCollection":for(r=0;r<t.features.length&&!1!==e(t.features[r].properties,r);r++);break;case"Feature":e(t.properties,0)}}function o(t,e){if("Feature"===t.type)e(t,0);else if("FeatureCollection"===t.type)for(var r=0;r<t.features.length&&!1!==e(t.features[r],r);r++);}function s(t,e){var r,n,i,a,o,s,l,c,u,h,f=0,p="FeatureCollection"===t.type,d="Feature"===t.type,g=p?t.features.length:1;for(r=0;r<g;r++){for(s=p?t.features[r].geometry:d?t.geometry:t,c=p?t.features[r].properties:d?t.properties:{},u=p?t.features[r].bbox:d?t.bbox:void 0,h=p?t.features[r].id:d?t.id:void 0,o=(l=!!s&&"GeometryCollection"===s.type)?s.geometries.length:1,i=0;i<o;i++)if(null!==(a=l?s.geometries[i]:s))switch(a.type){case"Point":case"LineString":case"MultiPoint":case"Polygon":case"MultiLineString":case"MultiPolygon":if(!1===e(a,f,c,u,h))return!1;break;case"GeometryCollection":for(n=0;n<a.geometries.length;n++)if(!1===e(a.geometries[n],f,c,u,h))return!1;break;default:throw new Error("Unknown Geometry Type")}else if(!1===e(null,f,c,u,h))return!1;f++}}function l(t,e){s(t,(function(t,r,i,a,o){var s,l=null===t?null:t.type;switch(l){case null:case"Point":case"LineString":case"Polygon":return!1!==e(n.feature(t,i,{bbox:a,id:o}),r,0)&&void 0}switch(l){case"MultiPoint":s="Point";break;case"MultiLineString":s="LineString";break;case"MultiPolygon":s="Polygon"}for(var c=0;c<t.coordinates.length;c++){var u={type:s,coordinates:t.coordinates[c]};if(!1===e(n.feature(u,i),r,c))return!1}}))}function c(t,e){l(t,(function(t,r,a){var o=0;if(t.geometry){var s=t.geometry.type;if("Point"!==s&&"MultiPoint"!==s){var l,c=0,u=0,h=0;return!1!==i(t,(function(i,s,f,p,d){if(void 0===l||r>c||p>u||d>h)return l=i,c=r,u=p,h=d,void(o=0);var g=n.lineString([l,i],t.properties);if(!1===e(g,r,a,d,o))return!1;o++,l=i}))&&void 0}}}))}function u(t,e){if(!t)throw new Error("geojson is required");l(t,(function(t,r,i){if(null!==t.geometry){var a=t.geometry.type,o=t.geometry.coordinates;switch(a){case"LineString":if(!1===e(t,r,i,0,0))return!1;break;case"Polygon":for(var s=0;s<o.length;s++)if(!1===e(n.lineString(o[s],t.properties),r,i,s))return!1}}}))}r.coordEach=i,r.coordReduce=function(t,e,r,n){var a=r;return i(t,(function(t,n,i,o,s){a=0===n&&void 0===r?t:e(a,t,n,i,o,s)}),n),a},r.propEach=a,r.propReduce=function(t,e,r){var n=r;return a(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.featureEach=o,r.featureReduce=function(t,e,r){var n=r;return o(t,(function(t,i){n=0===i&&void 0===r?t:e(n,t,i)})),n},r.coordAll=function(t){var e=[];return i(t,(function(t){e.push(t)})),e},r.geomEach=s,r.geomReduce=function(t,e,r){var n=r;return s(t,(function(t,i,a,o,s){n=0===i&&void 0===r?t:e(n,t,i,a,o,s)})),n},r.flattenEach=l,r.flattenReduce=function(t,e,r){var n=r;return l(t,(function(t,i,a){n=0===i&&0===a&&void 0===r?t:e(n,t,i,a)})),n},r.segmentEach=c,r.segmentReduce=function(t,e,r){var n=r,i=!1;return c(t,(function(t,a,o,s,l){n=!1===i&&void 0===r?t:e(n,t,a,o,s,l),i=!0})),n},r.lineEach=u,r.lineReduce=function(t,e,r){var n=r;return u(t,(function(t,i,a,o){n=0===i&&void 0===r?t:e(n,t,i,a,o)})),n},r.findSegment=function(t,e){if(e=e||{},!n.isObject(e))throw new Error("options is invalid");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.segmentIndex||0,l=e.properties;switch(t.type){case"FeatureCollection":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case"Feature":l=l||t.properties,r=t.geometry;break;case"Point":case"MultiPoint":return null;case"LineString":case"Polygon":case"MultiLineString":case"MultiPolygon":r=t;break;default:throw new Error("geojson is invalid")}if(null===r)return null;var c=r.coordinates;switch(r.type){case"Point":case"MultiPoint":return null;case"LineString":return s<0&&(s=c.length+s-1),n.lineString([c[s],c[s+1]],l,e);case"Polygon":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s-1),n.lineString([c[o][s],c[o][s+1]],l,e);case"MultiLineString":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s-1),n.lineString([c[a][s],c[a][s+1]],l,e);case"MultiPolygon":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s-1),n.lineString([c[a][o][s],c[a][o][s+1]],l,e)}throw new Error("geojson is invalid")},r.findPoint=function(t,e){if(e=e||{},!n.isObject(e))throw new Error("options is invalid");var r,i=e.featureIndex||0,a=e.multiFeatureIndex||0,o=e.geometryIndex||0,s=e.coordIndex||0,l=e.properties;switch(t.type){case"FeatureCollection":i<0&&(i=t.features.length+i),l=l||t.features[i].properties,r=t.features[i].geometry;break;case"Feature":l=l||t.properties,r=t.geometry;break;case"Point":case"MultiPoint":return null;case"LineString":case"Polygon":case"MultiLineString":case"MultiPolygon":r=t;break;default:throw new Error("geojson is invalid")}if(null===r)return null;var c=r.coordinates;switch(r.type){case"Point":return n.point(c,l,e);case"MultiPoint":return a<0&&(a=c.length+a),n.point(c[a],l,e);case"LineString":return s<0&&(s=c.length+s),n.point(c[s],l,e);case"Polygon":return o<0&&(o=c.length+o),s<0&&(s=c[o].length+s),n.point(c[o][s],l,e);case"MultiLineString":return a<0&&(a=c.length+a),s<0&&(s=c[a].length+s),n.point(c[a][s],l,e);case"MultiPolygon":return a<0&&(a=c.length+a),o<0&&(o=c[a].length+o),s<0&&(s=c[a][o].length-s),n.point(c[a][o][s],l,e)}throw new Error("geojson is invalid")}},{"@turf/helpers":62}],64:[function(t,e,r){"use strict";var n="undefined"==typeof WeakMap?t("weak-map"):WeakMap,i=t("gl-buffer"),a=t("gl-vao"),o=new n;e.exports=function(t){var e=o.get(t),r=e&&(e._triangleBuffer.handle||e._triangleBuffer.buffer);if(!r||!t.isBuffer(r)){var n=i(t,new Float32Array([-1,-1,-1,4,4,-1]));(e=a(t,[{buffer:n,type:t.FLOAT,size:2}]))._triangleBuffer=n,o.set(t,e)}e.bind(),t.drawArrays(t.TRIANGLES,0,3),e.unbind()}},{"gl-buffer":258,"gl-vao":332,"weak-map":574}],65:[function(t,e,r){e.exports=function(t){var e=0,r=0,n=0,i=0;return t.map((function(t){var a=(t=t.slice())[0],o=a.toUpperCase();if(a!=o)switch(t[0]=o,a){case"a":t[6]+=n,t[7]+=i;break;case"v":t[1]+=i;break;case"h":t[1]+=n;break;default:for(var s=1;s<t.length;)t[s++]+=n,t[s++]+=i}switch(o){case"Z":n=e,i=r;break;case"H":n=t[1];break;case"V":i=t[1];break;case"M":n=e=t[1],i=r=t[2];break;default:n=t[t.length-2],i=t[t.length-1]}return t}))}},{}],66:[function(t,e,r){var n=t("pad-left");e.exports=function(t,e,r){e="number"==typeof e?e:1,r=r||": ";var i=t.split(/\r?\n/),a=String(i.length+e-1).length;return i.map((function(t,i){var o=i+e,s=String(o).length;return n(o,a-s)+r+t})).join("\n")}},{"pad-left":476}],67:[function(t,e,r){"use strict";e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[0];for(var r=t[0].length,n=[t[0]],a=[0],o=1;o<e;++o)if(n.push(t[o]),i(n,r)){if(a.push(o),a.length===r+1)return a}else n.pop();return a};var n=t("robust-orientation");function i(t,e){for(var r=new Array(e+1),i=0;i<t.length;++i)r[i]=t[i];for(i=0;i<=t.length;++i){for(var a=t.length;a<=e;++a){for(var o=new Array(e),s=0;s<e;++s)o[s]=Math.pow(a+1-i,s);r[a]=o}if(n.apply(void 0,r))return!0}return!1}},{"robust-orientation":520}],68:[function(t,e,r){"use strict";e.exports=function(t,e){return n(e).filter((function(r){for(var n=new Array(r.length),a=0;a<r.length;++a)n[a]=e[r[a]];return i(n)*t<1}))};var n=t("delaunay-triangulate"),i=t("circumradius")},{circumradius:119,"delaunay-triangulate":171}],69:[function(t,e,r){e.exports=function(t,e){return i(n(t,e))};var n=t("alpha-complex"),i=t("simplicial-complex-boundary")},{"alpha-complex":68,"simplicial-complex-boundary":527}],70:[function(t,e,r){"use strict";e.exports=function(t,e){if(!t||null==t.length)throw Error("Argument should be an array");e=null==e?1:Math.floor(e);for(var r=Array(2*e),n=0;n<e;n++){for(var i=-1/0,a=1/0,o=n,s=t.length;o<s;o+=e)t[o]>i&&(i=t[o]),t[o]<a&&(a=t[o]);r[n]=a,r[e+n]=i}return r}},{}],71:[function(t,e,r){"use strict";var n=t("array-bounds");e.exports=function(t,e,r){if(!t||null==t.length)throw Error("Argument should be an array");null==e&&(e=1);null==r&&(r=n(t,e));for(var i=0;i<e;i++){var a=r[e+i],o=r[i],s=i,l=t.length;if(a===1/0&&o===-1/0)for(s=i;s<l;s+=e)t[s]=t[s]===a?1:t[s]===o?0:.5;else if(a===1/0)for(s=i;s<l;s+=e)t[s]=t[s]===a?1:0;else if(o===-1/0)for(s=i;s<l;s+=e)t[s]=t[s]===o?0:1;else{var c=a-o;for(s=i;s<l;s+=e)isNaN(t[s])||(t[s]=0===c?.5:(t[s]-o)/c)}}return t}},{"array-bounds":70}],72:[function(t,e,r){e.exports=function(t,e){var r="number"==typeof t,n="number"==typeof e;r&&!n?(e=t,t=0):r||n||(t=0,e=0);var i=(e|=0)-(t|=0);if(i<0)throw new Error("array length must be positive");for(var a=new Array(i),o=0,s=t;o<i;o++,s++)a[o]=s;return a}},{}],73:[function(t,e,r){(function(r){"use strict";var n=t("object-assign");
 /*!
  * The buffer module from node.js, for the browser.
  *
  * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>
  * @license  MIT
- */function i(t,e){if(t===e)return 0;for(var r=t.length,n=e.length,i=0,a=Math.min(r,n);i<a;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0}function a(t){return r.Buffer&&"function"==typeof r.Buffer.isBuffer?r.Buffer.isBuffer(t):!(null==t||!t._isBuffer)}var o=t("util/"),s=Object.prototype.hasOwnProperty,l=Array.prototype.slice,c="foo"===function(){}.name;function u(t){return Object.prototype.toString.call(t)}function f(t){return!a(t)&&("function"==typeof r.ArrayBuffer&&("function"==typeof ArrayBuffer.isView?ArrayBuffer.isView(t):!!t&&(t instanceof DataView||!!(t.buffer&&t.buffer instanceof ArrayBuffer))))}var h=e.exports=y,p=/\s*function\s+([^\(\s]*)\s*/;function d(t){if(o.isFunction(t)){if(c)return t.name;var e=t.toString().match(p);return e&&e[1]}}function m(t,e){return"string"==typeof t?t.length<e?t:t.slice(0,e):t}function g(t){if(c||!o.isFunction(t))return o.inspect(t);var e=d(t);return"[Function"+(e?": "+e:"")+"]"}function v(t,e,r,n,i){throw new h.AssertionError({message:r,actual:t,expected:e,operator:n,stackStartFunction:i})}function y(t,e){t||v(t,!0,e,"==",h.ok)}function x(t,e,r,n){if(t===e)return!0;if(a(t)&&a(e))return 0===i(t,e);if(o.isDate(t)&&o.isDate(e))return t.getTime()===e.getTime();if(o.isRegExp(t)&&o.isRegExp(e))return t.source===e.source&&t.global===e.global&&t.multiline===e.multiline&&t.lastIndex===e.lastIndex&&t.ignoreCase===e.ignoreCase;if(null!==t&&"object"==typeof t||null!==e&&"object"==typeof e){if(f(t)&&f(e)&&u(t)===u(e)&&!(t instanceof Float32Array||t instanceof Float64Array))return 0===i(new Uint8Array(t.buffer),new Uint8Array(e.buffer));if(a(t)!==a(e))return!1;var s=(n=n||{actual:[],expected:[]}).actual.indexOf(t);return-1!==s&&s===n.expected.indexOf(e)||(n.actual.push(t),n.expected.push(e),function(t,e,r,n){if(null==t||null==e)return!1;if(o.isPrimitive(t)||o.isPrimitive(e))return t===e;if(r&&Object.getPrototypeOf(t)!==Object.getPrototypeOf(e))return!1;var i=b(t),a=b(e);if(i&&!a||!i&&a)return!1;if(i)return t=l.call(t),e=l.call(e),x(t,e,r);var s,c,u=T(t),f=T(e);if(u.length!==f.length)return!1;for(u.sort(),f.sort(),c=u.length-1;c>=0;c--)if(u[c]!==f[c])return!1;for(c=u.length-1;c>=0;c--)if(s=u[c],!x(t[s],e[s],r,n))return!1;return!0}(t,e,r,n))}return r?t===e:t==e}function b(t){return"[object Arguments]"==Object.prototype.toString.call(t)}function _(t,e){if(!t||!e)return!1;if("[object RegExp]"==Object.prototype.toString.call(e))return e.test(t);try{if(t instanceof e)return!0}catch(t){}return!Error.isPrototypeOf(e)&&!0===e.call({},t)}function w(t,e,r,n){var i;if("function"!=typeof e)throw new TypeError('"block" argument must be a function');"string"==typeof r&&(n=r,r=null),i=function(t){var e;try{t()}catch(t){e=t}return e}(e),n=(r&&r.name?" ("+r.name+").":".")+(n?" "+n:"."),t&&!i&&v(i,r,"Missing expected exception"+n);var a="string"==typeof n,s=!t&&i&&!r;if((!t&&o.isError(i)&&a&&_(i,r)||s)&&v(i,r,"Got unwanted exception"+n),t&&i&&r&&!_(i,r)||!t&&i)throw i}h.AssertionError=function(t){this.name="AssertionError",this.actual=t.actual,this.expected=t.expected,this.operator=t.operator,t.message?(this.message=t.message,this.generatedMessage=!1):(this.message=function(t){return m(g(t.actual),128)+" "+t.operator+" "+m(g(t.expected),128)}(this),this.generatedMessage=!0);var e=t.stackStartFunction||v;if(Error.captureStackTrace)Error.captureStackTrace(this,e);else{var r=new Error;if(r.stack){var n=r.stack,i=d(e),a=n.indexOf("\n"+i);if(a>=0){var o=n.indexOf("\n",a+1);n=n.substring(o+1)}this.stack=n}}},o.inherits(h.AssertionError,Error),h.fail=v,h.ok=y,h.equal=function(t,e,r){t!=e&&v(t,e,r,"==",h.equal)},h.notEqual=function(t,e,r){t==e&&v(t,e,r,"!=",h.notEqual)},h.deepEqual=function(t,e,r){x(t,e,!1)||v(t,e,r,"deepEqual",h.deepEqual)},h.deepStrictEqual=function(t,e,r){x(t,e,!0)||v(t,e,r,"deepStrictEqual",h.deepStrictEqual)},h.notDeepEqual=function(t,e,r){x(t,e,!1)&&v(t,e,r,"notDeepEqual",h.notDeepEqual)},h.notDeepStrictEqual=function t(e,r,n){x(e,r,!0)&&v(e,r,n,"notDeepStrictEqual",t)},h.strictEqual=function(t,e,r){t!==e&&v(t,e,r,"===",h.strictEqual)},h.notStrictEqual=function(t,e,r){t===e&&v(t,e,r,"!==",h.notStrictEqual)},h.throws=function(t,e,r){w(!0,t,e,r)},h.doesNotThrow=function(t,e,r){w(!1,t,e,r)},h.ifError=function(t){if(t)throw t},h.strict=n((function t(e,r){e||v(e,!0,r,"==",t)}),h,{equal:h.strictEqual,deepEqual:h.deepStrictEqual,notEqual:h.notStrictEqual,notDeepEqual:h.notDeepStrictEqual}),h.strict.strict=h.strict;var T=Object.keys||function(t){var e=[];for(var r in t)s.call(t,r)&&e.push(r);return e}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"object-assign":242,"util/":74}],72:[function(t,e,r){"function"==typeof Object.create?e.exports=function(t,e){t.super_=e,t.prototype=Object.create(e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}})}:e.exports=function(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}},{}],73:[function(t,e,r){e.exports=function(t){return t&&"object"==typeof t&&"function"==typeof t.copy&&"function"==typeof t.fill&&"function"==typeof t.readUInt8}},{}],74:[function(t,e,r){(function(e,n){(function(){var i=/%[sdj%]/g;r.format=function(t){if(!v(t)){for(var e=[],r=0;r<arguments.length;r++)e.push(s(arguments[r]));return e.join(" ")}r=1;for(var n=arguments,a=n.length,o=String(t).replace(i,(function(t){if("%%"===t)return"%";if(r>=a)return t;switch(t){case"%s":return String(n[r++]);case"%d":return Number(n[r++]);case"%j":try{return JSON.stringify(n[r++])}catch(t){return"[Circular]"}default:return t}})),l=n[r];r<a;l=n[++r])m(l)||!b(l)?o+=" "+l:o+=" "+s(l);return o},r.deprecate=function(t,i){if(y(n.process))return function(){return r.deprecate(t,i).apply(this,arguments)};if(!0===e.noDeprecation)return t;var a=!1;return function(){if(!a){if(e.throwDeprecation)throw new Error(i);e.traceDeprecation?console.trace(i):console.error(i),a=!0}return t.apply(this,arguments)}};var a,o={};function s(t,e){var n={seen:[],stylize:c};return arguments.length>=3&&(n.depth=arguments[2]),arguments.length>=4&&(n.colors=arguments[3]),d(e)?n.showHidden=e:e&&r._extend(n,e),y(n.showHidden)&&(n.showHidden=!1),y(n.depth)&&(n.depth=2),y(n.colors)&&(n.colors=!1),y(n.customInspect)&&(n.customInspect=!0),n.colors&&(n.stylize=l),u(n,t,n.depth)}function l(t,e){var r=s.styles[e];return r?"\x1b["+s.colors[r][0]+"m"+t+"\x1b["+s.colors[r][1]+"m":t}function c(t,e){return t}function u(t,e,n){if(t.customInspect&&e&&T(e.inspect)&&e.inspect!==r.inspect&&(!e.constructor||e.constructor.prototype!==e)){var i=e.inspect(n,t);return v(i)||(i=u(t,i,n)),i}var a=function(t,e){if(y(e))return t.stylize("undefined","undefined");if(v(e)){var r="'"+JSON.stringify(e).replace(/^"|"$/g,"").replace(/'/g,"\\'").replace(/\\"/g,'"')+"'";return t.stylize(r,"string")}if(g(e))return t.stylize(""+e,"number");if(d(e))return t.stylize(""+e,"boolean");if(m(e))return t.stylize("null","null")}(t,e);if(a)return a;var o=Object.keys(e),s=function(t){var e={};return t.forEach((function(t,r){e[t]=!0})),e}(o);if(t.showHidden&&(o=Object.getOwnPropertyNames(e)),w(e)&&(o.indexOf("message")>=0||o.indexOf("description")>=0))return f(e);if(0===o.length){if(T(e)){var l=e.name?": "+e.name:"";return t.stylize("[Function"+l+"]","special")}if(x(e))return t.stylize(RegExp.prototype.toString.call(e),"regexp");if(_(e))return t.stylize(Date.prototype.toString.call(e),"date");if(w(e))return f(e)}var c,b="",k=!1,A=["{","}"];(p(e)&&(k=!0,A=["[","]"]),T(e))&&(b=" [Function"+(e.name?": "+e.name:"")+"]");return x(e)&&(b=" "+RegExp.prototype.toString.call(e)),_(e)&&(b=" "+Date.prototype.toUTCString.call(e)),w(e)&&(b=" "+f(e)),0!==o.length||k&&0!=e.length?n<0?x(e)?t.stylize(RegExp.prototype.toString.call(e),"regexp"):t.stylize("[Object]","special"):(t.seen.push(e),c=k?function(t,e,r,n,i){for(var a=[],o=0,s=e.length;o<s;++o)E(e,String(o))?a.push(h(t,e,r,n,String(o),!0)):a.push("");return i.forEach((function(i){i.match(/^\d+$/)||a.push(h(t,e,r,n,i,!0))})),a}(t,e,n,s,o):o.map((function(r){return h(t,e,n,s,r,k)})),t.seen.pop(),function(t,e,r){if(t.reduce((function(t,e){return e.indexOf("\n")>=0&&0,t+e.replace(/\u001b\[\d\d?m/g,"").length+1}),0)>60)return r[0]+(""===e?"":e+"\n ")+" "+t.join(",\n  ")+" "+r[1];return r[0]+e+" "+t.join(", ")+" "+r[1]}(c,b,A)):A[0]+b+A[1]}function f(t){return"["+Error.prototype.toString.call(t)+"]"}function h(t,e,r,n,i,a){var o,s,l;if((l=Object.getOwnPropertyDescriptor(e,i)||{value:e[i]}).get?s=l.set?t.stylize("[Getter/Setter]","special"):t.stylize("[Getter]","special"):l.set&&(s=t.stylize("[Setter]","special")),E(n,i)||(o="["+i+"]"),s||(t.seen.indexOf(l.value)<0?(s=m(r)?u(t,l.value,null):u(t,l.value,r-1)).indexOf("\n")>-1&&(s=a?s.split("\n").map((function(t){return"  "+t})).join("\n").substr(2):"\n"+s.split("\n").map((function(t){return"   "+t})).join("\n")):s=t.stylize("[Circular]","special")),y(o)){if(a&&i.match(/^\d+$/))return s;(o=JSON.stringify(""+i)).match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)?(o=o.substr(1,o.length-2),o=t.stylize(o,"name")):(o=o.replace(/'/g,"\\'").replace(/\\"/g,'"').replace(/(^"|"$)/g,"'"),o=t.stylize(o,"string"))}return o+": "+s}function p(t){return Array.isArray(t)}function d(t){return"boolean"==typeof t}function m(t){return null===t}function g(t){return"number"==typeof t}function v(t){return"string"==typeof t}function y(t){return void 0===t}function x(t){return b(t)&&"[object RegExp]"===k(t)}function b(t){return"object"==typeof t&&null!==t}function _(t){return b(t)&&"[object Date]"===k(t)}function w(t){return b(t)&&("[object Error]"===k(t)||t instanceof Error)}function T(t){return"function"==typeof t}function k(t){return Object.prototype.toString.call(t)}function A(t){return t<10?"0"+t.toString(10):t.toString(10)}r.debuglog=function(t){if(y(a)&&(a=e.env.NODE_DEBUG||""),t=t.toUpperCase(),!o[t])if(new RegExp("\\b"+t+"\\b","i").test(a)){var n=e.pid;o[t]=function(){var e=r.format.apply(r,arguments);console.error("%s %d: %s",t,n,e)}}else o[t]=function(){};return o[t]},r.inspect=s,s.colors={bold:[1,22],italic:[3,23],underline:[4,24],inverse:[7,27],white:[37,39],grey:[90,39],black:[30,39],blue:[34,39],cyan:[36,39],green:[32,39],magenta:[35,39],red:[31,39],yellow:[33,39]},s.styles={special:"cyan",number:"yellow",boolean:"yellow",undefined:"grey",null:"bold",string:"green",date:"magenta",regexp:"red"},r.isArray=p,r.isBoolean=d,r.isNull=m,r.isNullOrUndefined=function(t){return null==t},r.isNumber=g,r.isString=v,r.isSymbol=function(t){return"symbol"==typeof t},r.isUndefined=y,r.isRegExp=x,r.isObject=b,r.isDate=_,r.isError=w,r.isFunction=T,r.isPrimitive=function(t){return null===t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||"symbol"==typeof t||void 0===t},r.isBuffer=t("./support/isBuffer");var M=["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"];function S(){var t=new Date,e=[A(t.getHours()),A(t.getMinutes()),A(t.getSeconds())].join(":");return[t.getDate(),M[t.getMonth()],e].join(" ")}function E(t,e){return Object.prototype.hasOwnProperty.call(t,e)}r.log=function(){console.log("%s - %s",S(),r.format.apply(r,arguments))},r.inherits=t("inherits"),r._extend=function(t,e){if(!e||!b(e))return t;for(var r=Object.keys(e),n=r.length;n--;)t[r[n]]=e[r[n]];return t}}).call(this)}).call(this,t("_process"),"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./support/isBuffer":73,_process:272,inherits:72}],75:[function(t,e,r){"use strict";r.byteLength=function(t){var e=c(t),r=e[0],n=e[1];return 3*(r+n)/4-n},r.toByteArray=function(t){var e,r,n=c(t),o=n[0],s=n[1],l=new a(function(t,e,r){return 3*(e+r)/4-r}(0,o,s)),u=0,f=s>0?o-4:o;for(r=0;r<f;r+=4)e=i[t.charCodeAt(r)]<<18|i[t.charCodeAt(r+1)]<<12|i[t.charCodeAt(r+2)]<<6|i[t.charCodeAt(r+3)],l[u++]=e>>16&255,l[u++]=e>>8&255,l[u++]=255&e;2===s&&(e=i[t.charCodeAt(r)]<<2|i[t.charCodeAt(r+1)]>>4,l[u++]=255&e);1===s&&(e=i[t.charCodeAt(r)]<<10|i[t.charCodeAt(r+1)]<<4|i[t.charCodeAt(r+2)]>>2,l[u++]=e>>8&255,l[u++]=255&e);return l},r.fromByteArray=function(t){for(var e,r=t.length,i=r%3,a=[],o=0,s=r-i;o<s;o+=16383)a.push(u(t,o,o+16383>s?s:o+16383));1===i?(e=t[r-1],a.push(n[e>>2]+n[e<<4&63]+"==")):2===i&&(e=(t[r-2]<<8)+t[r-1],a.push(n[e>>10]+n[e>>4&63]+n[e<<2&63]+"="));return a.join("")};for(var n=[],i=[],a="undefined"!=typeof Uint8Array?Uint8Array:Array,o="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",s=0,l=o.length;s<l;++s)n[s]=o[s],i[o.charCodeAt(s)]=s;function c(t){var e=t.length;if(e%4>0)throw new Error("Invalid string. Length must be a multiple of 4");var r=t.indexOf("=");return-1===r&&(r=e),[r,r===e?0:4-r%4]}function u(t,e,r){for(var i,a,o=[],s=e;s<r;s+=3)i=(t[s]<<16&16711680)+(t[s+1]<<8&65280)+(255&t[s+2]),o.push(n[(a=i)>>18&63]+n[a>>12&63]+n[a>>6&63]+n[63&a]);return o.join("")}i["-".charCodeAt(0)]=62,i["_".charCodeAt(0)]=63},{}],76:[function(t,e,r){"use strict";function n(t,e,r,n,i){for(var a=i+1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)>=0?(a=o,i=o-1):n=o+1}return a}function i(t,e,r,n,i){for(var a=i+1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)>0?(a=o,i=o-1):n=o+1}return a}function a(t,e,r,n,i){for(var a=n-1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)<0?(a=o,n=o+1):i=o-1}return a}function o(t,e,r,n,i){for(var a=n-1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)<=0?(a=o,n=o+1):i=o-1}return a}function s(t,e,r,n,i){for(;n<=i;){var a=n+i>>>1,o=t[a],s=void 0!==r?r(o,e):o-e;if(0===s)return a;s<=0?n=a+1:i=a-1}return-1}function l(t,e,r,n,i,a){return"function"==typeof r?a(t,e,r,void 0===n?0:0|n,void 0===i?t.length-1:0|i):a(t,e,void 0,void 0===r?0:0|r,void 0===n?t.length-1:0|n)}e.exports={ge:function(t,e,r,i,a){return l(t,e,r,i,a,n)},gt:function(t,e,r,n,a){return l(t,e,r,n,a,i)},lt:function(t,e,r,n,i){return l(t,e,r,n,i,a)},le:function(t,e,r,n,i){return l(t,e,r,n,i,o)},eq:function(t,e,r,n,i){return l(t,e,r,n,i,s)}}},{}],77:[function(t,e,r){"use strict";function n(t){var e=32;return(t&=-t)&&e--,65535&t&&(e-=16),16711935&t&&(e-=8),252645135&t&&(e-=4),858993459&t&&(e-=2),1431655765&t&&(e-=1),e}r.INT_BITS=32,r.INT_MAX=2147483647,r.INT_MIN=-1<<31,r.sign=function(t){return(t>0)-(t<0)},r.abs=function(t){var e=t>>31;return(t^e)-e},r.min=function(t,e){return e^(t^e)&-(t<e)},r.max=function(t,e){return t^(t^e)&-(t<e)},r.isPow2=function(t){return!(t&t-1||!t)},r.log2=function(t){var e,r;return e=(t>65535)<<4,e|=r=((t>>>=e)>255)<<3,e|=r=((t>>>=r)>15)<<2,(e|=r=((t>>>=r)>3)<<1)|(t>>>=r)>>1},r.log10=function(t){return t>=1e9?9:t>=1e8?8:t>=1e7?7:t>=1e6?6:t>=1e5?5:t>=1e4?4:t>=1e3?3:t>=100?2:t>=10?1:0},r.popCount=function(t){return 16843009*((t=(858993459&(t-=t>>>1&1431655765))+(t>>>2&858993459))+(t>>>4)&252645135)>>>24},r.countTrailingZeros=n,r.nextPow2=function(t){return t+=0===t,--t,t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)+1},r.prevPow2=function(t){return t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)-(t>>>1)},r.parity=function(t){return t^=t>>>16,t^=t>>>8,t^=t>>>4,27030>>>(t&=15)&1};var i=new Array(256);!function(t){for(var e=0;e<256;++e){var r=e,n=e,i=7;for(r>>>=1;r;r>>>=1)n<<=1,n|=1&r,--i;t[e]=n<<i&255}}(i),r.reverse=function(t){return i[255&t]<<24|i[t>>>8&255]<<16|i[t>>>16&255]<<8|i[t>>>24&255]},r.interleave2=function(t,e){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t&=65535)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e&=65535)|e<<8))|e<<4))|e<<2))|e<<1))<<1},r.deinterleave2=function(t,e){return(t=65535&((t=16711935&((t=252645135&((t=858993459&((t=t>>>e&1431655765)|t>>>1))|t>>>2))|t>>>4))|t>>>16))<<16>>16},r.interleave3=function(t,e,r){return t=1227133513&((t=3272356035&((t=251719695&((t=4278190335&((t&=1023)|t<<16))|t<<8))|t<<4))|t<<2),(t|=(e=1227133513&((e=3272356035&((e=251719695&((e=4278190335&((e&=1023)|e<<16))|e<<8))|e<<4))|e<<2))<<1)|(r=1227133513&((r=3272356035&((r=251719695&((r=4278190335&((r&=1023)|r<<16))|r<<8))|r<<4))|r<<2))<<2},r.deinterleave3=function(t,e){return(t=1023&((t=4278190335&((t=251719695&((t=3272356035&((t=t>>>e&1227133513)|t>>>2))|t>>>4))|t>>>8))|t>>>16))<<22>>22},r.nextCombination=function(t){var e=t|t-1;return e+1|(~e&-~e)-1>>>n(t)+1}},{}],78:[function(t,e,r){"use strict";var n=t("clamp");e.exports=function(t,e){e||(e={});var r,o,s,l,c,u,f,h,p,d,m,g=null==e.cutoff?.25:e.cutoff,v=null==e.radius?8:e.radius,y=e.channel||0;if(ArrayBuffer.isView(t)||Array.isArray(t)){if(!e.width||!e.height)throw Error("For raw data width and height should be provided by options");r=e.width,o=e.height,l=t,u=e.stride?e.stride:Math.floor(t.length/r/o)}else window.HTMLCanvasElement&&t instanceof window.HTMLCanvasElement?(f=(h=t).getContext("2d"),r=h.width,o=h.height,p=f.getImageData(0,0,r,o),l=p.data,u=4):window.CanvasRenderingContext2D&&t instanceof window.CanvasRenderingContext2D?(h=t.canvas,f=t,r=h.width,o=h.height,p=f.getImageData(0,0,r,o),l=p.data,u=4):window.ImageData&&t instanceof window.ImageData&&(p=t,r=t.width,o=t.height,l=p.data,u=4);if(s=Math.max(r,o),window.Uint8ClampedArray&&l instanceof window.Uint8ClampedArray||window.Uint8Array&&l instanceof window.Uint8Array)for(c=l,l=Array(r*o),d=0,m=c.length;d<m;d++)l[d]=c[d*u+y]/255;else if(1!==u)throw Error("Raw data can have only 1 value per pixel");var x=Array(r*o),b=Array(r*o),_=Array(s),w=Array(s),T=Array(s+1),k=Array(s);for(d=0,m=r*o;d<m;d++){var A=l[d];x[d]=1===A?0:0===A?i:Math.pow(Math.max(0,.5-A),2),b[d]=1===A?i:0===A?0:Math.pow(Math.max(0,A-.5),2)}a(x,r,o,_,w,k,T),a(b,r,o,_,w,k,T);var M=window.Float32Array?new Float32Array(r*o):new Array(r*o);for(d=0,m=r*o;d<m;d++)M[d]=n(1-((x[d]-b[d])/v+g),0,1);return M};var i=1e20;function a(t,e,r,n,i,a,s){for(var l=0;l<e;l++){for(var c=0;c<r;c++)n[c]=t[c*e+l];for(o(n,i,a,s,r),c=0;c<r;c++)t[c*e+l]=i[c]}for(c=0;c<r;c++){for(l=0;l<e;l++)n[l]=t[c*e+l];for(o(n,i,a,s,e),l=0;l<e;l++)t[c*e+l]=Math.sqrt(i[l])}}function o(t,e,r,n,a){r[0]=0,n[0]=-i,n[1]=+i;for(var o=1,s=0;o<a;o++){for(var l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);l<=n[s];)s--,l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);r[++s]=o,n[s]=l,n[s+1]=+i}for(o=0,s=0;o<a;o++){for(;n[s+1]<o;)s++;e[o]=(o-r[s])*(o-r[s])+t[r[s]]}}},{clamp:81}],79:[function(t,e,r){},{}],80:[function(t,e,r){(function(e){(function(){
+ */function i(t,e){if(t===e)return 0;for(var r=t.length,n=e.length,i=0,a=Math.min(r,n);i<a;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0}function a(t){return r.Buffer&&"function"==typeof r.Buffer.isBuffer?r.Buffer.isBuffer(t):!(null==t||!t._isBuffer)}var o=t("util/"),s=Object.prototype.hasOwnProperty,l=Array.prototype.slice,c="foo"===function(){}.name;function u(t){return Object.prototype.toString.call(t)}function h(t){return!a(t)&&("function"==typeof r.ArrayBuffer&&("function"==typeof ArrayBuffer.isView?ArrayBuffer.isView(t):!!t&&(t instanceof DataView||!!(t.buffer&&t.buffer instanceof ArrayBuffer))))}var f=e.exports=y,p=/\s*function\s+([^\(\s]*)\s*/;function d(t){if(o.isFunction(t)){if(c)return t.name;var e=t.toString().match(p);return e&&e[1]}}function g(t,e){return"string"==typeof t?t.length<e?t:t.slice(0,e):t}function m(t){if(c||!o.isFunction(t))return o.inspect(t);var e=d(t);return"[Function"+(e?": "+e:"")+"]"}function v(t,e,r,n,i){throw new f.AssertionError({message:r,actual:t,expected:e,operator:n,stackStartFunction:i})}function y(t,e){t||v(t,!0,e,"==",f.ok)}function x(t,e,r,n){if(t===e)return!0;if(a(t)&&a(e))return 0===i(t,e);if(o.isDate(t)&&o.isDate(e))return t.getTime()===e.getTime();if(o.isRegExp(t)&&o.isRegExp(e))return t.source===e.source&&t.global===e.global&&t.multiline===e.multiline&&t.lastIndex===e.lastIndex&&t.ignoreCase===e.ignoreCase;if(null!==t&&"object"==typeof t||null!==e&&"object"==typeof e){if(h(t)&&h(e)&&u(t)===u(e)&&!(t instanceof Float32Array||t instanceof Float64Array))return 0===i(new Uint8Array(t.buffer),new Uint8Array(e.buffer));if(a(t)!==a(e))return!1;var s=(n=n||{actual:[],expected:[]}).actual.indexOf(t);return-1!==s&&s===n.expected.indexOf(e)||(n.actual.push(t),n.expected.push(e),function(t,e,r,n){if(null==t||null==e)return!1;if(o.isPrimitive(t)||o.isPrimitive(e))return t===e;if(r&&Object.getPrototypeOf(t)!==Object.getPrototypeOf(e))return!1;var i=b(t),a=b(e);if(i&&!a||!i&&a)return!1;if(i)return t=l.call(t),e=l.call(e),x(t,e,r);var s,c,u=T(t),h=T(e);if(u.length!==h.length)return!1;for(u.sort(),h.sort(),c=u.length-1;c>=0;c--)if(u[c]!==h[c])return!1;for(c=u.length-1;c>=0;c--)if(s=u[c],!x(t[s],e[s],r,n))return!1;return!0}(t,e,r,n))}return r?t===e:t==e}function b(t){return"[object Arguments]"==Object.prototype.toString.call(t)}function _(t,e){if(!t||!e)return!1;if("[object RegExp]"==Object.prototype.toString.call(e))return e.test(t);try{if(t instanceof e)return!0}catch(t){}return!Error.isPrototypeOf(e)&&!0===e.call({},t)}function w(t,e,r,n){var i;if("function"!=typeof e)throw new TypeError('"block" argument must be a function');"string"==typeof r&&(n=r,r=null),i=function(t){var e;try{t()}catch(t){e=t}return e}(e),n=(r&&r.name?" ("+r.name+").":".")+(n?" "+n:"."),t&&!i&&v(i,r,"Missing expected exception"+n);var a="string"==typeof n,s=!t&&i&&!r;if((!t&&o.isError(i)&&a&&_(i,r)||s)&&v(i,r,"Got unwanted exception"+n),t&&i&&r&&!_(i,r)||!t&&i)throw i}f.AssertionError=function(t){this.name="AssertionError",this.actual=t.actual,this.expected=t.expected,this.operator=t.operator,t.message?(this.message=t.message,this.generatedMessage=!1):(this.message=function(t){return g(m(t.actual),128)+" "+t.operator+" "+g(m(t.expected),128)}(this),this.generatedMessage=!0);var e=t.stackStartFunction||v;if(Error.captureStackTrace)Error.captureStackTrace(this,e);else{var r=new Error;if(r.stack){var n=r.stack,i=d(e),a=n.indexOf("\n"+i);if(a>=0){var o=n.indexOf("\n",a+1);n=n.substring(o+1)}this.stack=n}}},o.inherits(f.AssertionError,Error),f.fail=v,f.ok=y,f.equal=function(t,e,r){t!=e&&v(t,e,r,"==",f.equal)},f.notEqual=function(t,e,r){t==e&&v(t,e,r,"!=",f.notEqual)},f.deepEqual=function(t,e,r){x(t,e,!1)||v(t,e,r,"deepEqual",f.deepEqual)},f.deepStrictEqual=function(t,e,r){x(t,e,!0)||v(t,e,r,"deepStrictEqual",f.deepStrictEqual)},f.notDeepEqual=function(t,e,r){x(t,e,!1)&&v(t,e,r,"notDeepEqual",f.notDeepEqual)},f.notDeepStrictEqual=function t(e,r,n){x(e,r,!0)&&v(e,r,n,"notDeepStrictEqual",t)},f.strictEqual=function(t,e,r){t!==e&&v(t,e,r,"===",f.strictEqual)},f.notStrictEqual=function(t,e,r){t===e&&v(t,e,r,"!==",f.notStrictEqual)},f.throws=function(t,e,r){w(!0,t,e,r)},f.doesNotThrow=function(t,e,r){w(!1,t,e,r)},f.ifError=function(t){if(t)throw t},f.strict=n((function t(e,r){e||v(e,!0,r,"==",t)}),f,{equal:f.strictEqual,deepEqual:f.deepStrictEqual,notEqual:f.notStrictEqual,notDeepEqual:f.notDeepStrictEqual}),f.strict.strict=f.strict;var T=Object.keys||function(t){var e=[];for(var r in t)s.call(t,r)&&e.push(r);return e}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"object-assign":473,"util/":76}],74:[function(t,e,r){"function"==typeof Object.create?e.exports=function(t,e){t.super_=e,t.prototype=Object.create(e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}})}:e.exports=function(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}},{}],75:[function(t,e,r){e.exports=function(t){return t&&"object"==typeof t&&"function"==typeof t.copy&&"function"==typeof t.fill&&"function"==typeof t.readUInt8}},{}],76:[function(t,e,r){(function(e,n){var i=/%[sdj%]/g;r.format=function(t){if(!v(t)){for(var e=[],r=0;r<arguments.length;r++)e.push(s(arguments[r]));return e.join(" ")}r=1;for(var n=arguments,a=n.length,o=String(t).replace(i,(function(t){if("%%"===t)return"%";if(r>=a)return t;switch(t){case"%s":return String(n[r++]);case"%d":return Number(n[r++]);case"%j":try{return JSON.stringify(n[r++])}catch(t){return"[Circular]"}default:return t}})),l=n[r];r<a;l=n[++r])g(l)||!b(l)?o+=" "+l:o+=" "+s(l);return o},r.deprecate=function(t,i){if(y(n.process))return function(){return r.deprecate(t,i).apply(this,arguments)};if(!0===e.noDeprecation)return t;var a=!1;return function(){if(!a){if(e.throwDeprecation)throw new Error(i);e.traceDeprecation?console.trace(i):console.error(i),a=!0}return t.apply(this,arguments)}};var a,o={};function s(t,e){var n={seen:[],stylize:c};return arguments.length>=3&&(n.depth=arguments[2]),arguments.length>=4&&(n.colors=arguments[3]),d(e)?n.showHidden=e:e&&r._extend(n,e),y(n.showHidden)&&(n.showHidden=!1),y(n.depth)&&(n.depth=2),y(n.colors)&&(n.colors=!1),y(n.customInspect)&&(n.customInspect=!0),n.colors&&(n.stylize=l),u(n,t,n.depth)}function l(t,e){var r=s.styles[e];return r?"\x1b["+s.colors[r][0]+"m"+t+"\x1b["+s.colors[r][1]+"m":t}function c(t,e){return t}function u(t,e,n){if(t.customInspect&&e&&T(e.inspect)&&e.inspect!==r.inspect&&(!e.constructor||e.constructor.prototype!==e)){var i=e.inspect(n,t);return v(i)||(i=u(t,i,n)),i}var a=function(t,e){if(y(e))return t.stylize("undefined","undefined");if(v(e)){var r="'"+JSON.stringify(e).replace(/^"|"$/g,"").replace(/'/g,"\\'").replace(/\\"/g,'"')+"'";return t.stylize(r,"string")}if(m(e))return t.stylize(""+e,"number");if(d(e))return t.stylize(""+e,"boolean");if(g(e))return t.stylize("null","null")}(t,e);if(a)return a;var o=Object.keys(e),s=function(t){var e={};return t.forEach((function(t,r){e[t]=!0})),e}(o);if(t.showHidden&&(o=Object.getOwnPropertyNames(e)),w(e)&&(o.indexOf("message")>=0||o.indexOf("description")>=0))return h(e);if(0===o.length){if(T(e)){var l=e.name?": "+e.name:"";return t.stylize("[Function"+l+"]","special")}if(x(e))return t.stylize(RegExp.prototype.toString.call(e),"regexp");if(_(e))return t.stylize(Date.prototype.toString.call(e),"date");if(w(e))return h(e)}var c,b="",k=!1,M=["{","}"];(p(e)&&(k=!0,M=["[","]"]),T(e))&&(b=" [Function"+(e.name?": "+e.name:"")+"]");return x(e)&&(b=" "+RegExp.prototype.toString.call(e)),_(e)&&(b=" "+Date.prototype.toUTCString.call(e)),w(e)&&(b=" "+h(e)),0!==o.length||k&&0!=e.length?n<0?x(e)?t.stylize(RegExp.prototype.toString.call(e),"regexp"):t.stylize("[Object]","special"):(t.seen.push(e),c=k?function(t,e,r,n,i){for(var a=[],o=0,s=e.length;o<s;++o)E(e,String(o))?a.push(f(t,e,r,n,String(o),!0)):a.push("");return i.forEach((function(i){i.match(/^\d+$/)||a.push(f(t,e,r,n,i,!0))})),a}(t,e,n,s,o):o.map((function(r){return f(t,e,n,s,r,k)})),t.seen.pop(),function(t,e,r){if(t.reduce((function(t,e){return e.indexOf("\n")>=0&&0,t+e.replace(/\u001b\[\d\d?m/g,"").length+1}),0)>60)return r[0]+(""===e?"":e+"\n ")+" "+t.join(",\n  ")+" "+r[1];return r[0]+e+" "+t.join(", ")+" "+r[1]}(c,b,M)):M[0]+b+M[1]}function h(t){return"["+Error.prototype.toString.call(t)+"]"}function f(t,e,r,n,i,a){var o,s,l;if((l=Object.getOwnPropertyDescriptor(e,i)||{value:e[i]}).get?s=l.set?t.stylize("[Getter/Setter]","special"):t.stylize("[Getter]","special"):l.set&&(s=t.stylize("[Setter]","special")),E(n,i)||(o="["+i+"]"),s||(t.seen.indexOf(l.value)<0?(s=g(r)?u(t,l.value,null):u(t,l.value,r-1)).indexOf("\n")>-1&&(s=a?s.split("\n").map((function(t){return"  "+t})).join("\n").substr(2):"\n"+s.split("\n").map((function(t){return"   "+t})).join("\n")):s=t.stylize("[Circular]","special")),y(o)){if(a&&i.match(/^\d+$/))return s;(o=JSON.stringify(""+i)).match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)?(o=o.substr(1,o.length-2),o=t.stylize(o,"name")):(o=o.replace(/'/g,"\\'").replace(/\\"/g,'"').replace(/(^"|"$)/g,"'"),o=t.stylize(o,"string"))}return o+": "+s}function p(t){return Array.isArray(t)}function d(t){return"boolean"==typeof t}function g(t){return null===t}function m(t){return"number"==typeof t}function v(t){return"string"==typeof t}function y(t){return void 0===t}function x(t){return b(t)&&"[object RegExp]"===k(t)}function b(t){return"object"==typeof t&&null!==t}function _(t){return b(t)&&"[object Date]"===k(t)}function w(t){return b(t)&&("[object Error]"===k(t)||t instanceof Error)}function T(t){return"function"==typeof t}function k(t){return Object.prototype.toString.call(t)}function M(t){return t<10?"0"+t.toString(10):t.toString(10)}r.debuglog=function(t){if(y(a)&&(a=e.env.NODE_DEBUG||""),t=t.toUpperCase(),!o[t])if(new RegExp("\\b"+t+"\\b","i").test(a)){var n=e.pid;o[t]=function(){var e=r.format.apply(r,arguments);console.error("%s %d: %s",t,n,e)}}else o[t]=function(){};return o[t]},r.inspect=s,s.colors={bold:[1,22],italic:[3,23],underline:[4,24],inverse:[7,27],white:[37,39],grey:[90,39],black:[30,39],blue:[34,39],cyan:[36,39],green:[32,39],magenta:[35,39],red:[31,39],yellow:[33,39]},s.styles={special:"cyan",number:"yellow",boolean:"yellow",undefined:"grey",null:"bold",string:"green",date:"magenta",regexp:"red"},r.isArray=p,r.isBoolean=d,r.isNull=g,r.isNullOrUndefined=function(t){return null==t},r.isNumber=m,r.isString=v,r.isSymbol=function(t){return"symbol"==typeof t},r.isUndefined=y,r.isRegExp=x,r.isObject=b,r.isDate=_,r.isError=w,r.isFunction=T,r.isPrimitive=function(t){return null===t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||"symbol"==typeof t||"undefined"==typeof t},r.isBuffer=t("./support/isBuffer");var A=["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"];function S(){var t=new Date,e=[M(t.getHours()),M(t.getMinutes()),M(t.getSeconds())].join(":");return[t.getDate(),A[t.getMonth()],e].join(" ")}function E(t,e){return Object.prototype.hasOwnProperty.call(t,e)}r.log=function(){console.log("%s - %s",S(),r.format.apply(r,arguments))},r.inherits=t("inherits"),r._extend=function(t,e){if(!e||!b(e))return t;for(var r=Object.keys(e),n=r.length;n--;)t[r[n]]=e[r[n]];return t}}).call(this,t("_process"),"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./support/isBuffer":75,_process:500,inherits:74}],77:[function(t,e,r){e.exports=function(t){return atob(t)}},{}],78:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=e.length,a=new Array(r+1),o=0;o<r;++o){for(var s=new Array(r+1),l=0;l<=r;++l)s[l]=t[l][o];a[o]=s}a[r]=new Array(r+1);for(o=0;o<=r;++o)a[r][o]=1;var c=new Array(r+1);for(o=0;o<r;++o)c[o]=e[o];c[r]=1;var u=n(a,c),h=i(u[r+1]);0===h&&(h=1);var f=new Array(r+1);for(o=0;o<=r;++o)f[o]=i(u[o])/h;return f};var n=t("robust-linear-solve");function i(t){for(var e=0,r=0;r<t.length;++r)e+=t[r];return e}},{"robust-linear-solve":519}],79:[function(t,e,r){"use strict";r.byteLength=function(t){var e=c(t),r=e[0],n=e[1];return 3*(r+n)/4-n},r.toByteArray=function(t){var e,r,n=c(t),o=n[0],s=n[1],l=new a(function(t,e,r){return 3*(e+r)/4-r}(0,o,s)),u=0,h=s>0?o-4:o;for(r=0;r<h;r+=4)e=i[t.charCodeAt(r)]<<18|i[t.charCodeAt(r+1)]<<12|i[t.charCodeAt(r+2)]<<6|i[t.charCodeAt(r+3)],l[u++]=e>>16&255,l[u++]=e>>8&255,l[u++]=255&e;2===s&&(e=i[t.charCodeAt(r)]<<2|i[t.charCodeAt(r+1)]>>4,l[u++]=255&e);1===s&&(e=i[t.charCodeAt(r)]<<10|i[t.charCodeAt(r+1)]<<4|i[t.charCodeAt(r+2)]>>2,l[u++]=e>>8&255,l[u++]=255&e);return l},r.fromByteArray=function(t){for(var e,r=t.length,i=r%3,a=[],o=0,s=r-i;o<s;o+=16383)a.push(u(t,o,o+16383>s?s:o+16383));1===i?(e=t[r-1],a.push(n[e>>2]+n[e<<4&63]+"==")):2===i&&(e=(t[r-2]<<8)+t[r-1],a.push(n[e>>10]+n[e>>4&63]+n[e<<2&63]+"="));return a.join("")};for(var n=[],i=[],a="undefined"!=typeof Uint8Array?Uint8Array:Array,o="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",s=0,l=o.length;s<l;++s)n[s]=o[s],i[o.charCodeAt(s)]=s;function c(t){var e=t.length;if(e%4>0)throw new Error("Invalid string. Length must be a multiple of 4");var r=t.indexOf("=");return-1===r&&(r=e),[r,r===e?0:4-r%4]}function u(t,e,r){for(var i,a,o=[],s=e;s<r;s+=3)i=(t[s]<<16&16711680)+(t[s+1]<<8&65280)+(255&t[s+2]),o.push(n[(a=i)>>18&63]+n[a>>12&63]+n[a>>6&63]+n[63&a]);return o.join("")}i["-".charCodeAt(0)]=62,i["_".charCodeAt(0)]=63},{}],80:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[1]).add(e[0].mul(t[1])),t[1].mul(e[1]))}},{"./lib/rationalize":90}],81:[function(t,e,r){"use strict";e.exports=function(t,e){return t[0].mul(e[1]).cmp(e[0].mul(t[1]))}},{}],82:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[1]),t[1].mul(e[0]))}},{"./lib/rationalize":90}],83:[function(t,e,r){"use strict";var n=t("./is-rat"),i=t("./lib/is-bn"),a=t("./lib/num-to-bn"),o=t("./lib/str-to-bn"),s=t("./lib/rationalize"),l=t("./div");e.exports=function t(e,r){if(n(e))return r?l(e,t(r)):[e[0].clone(),e[1].clone()];var c,u,h=0;if(i(e))c=e.clone();else if("string"==typeof e)c=o(e);else{if(0===e)return[a(0),a(1)];if(e===Math.floor(e))c=a(e);else{for(;e!==Math.floor(e);)e*=Math.pow(2,256),h-=256;c=a(e)}}if(n(r))c.mul(r[1]),u=r[0].clone();else if(i(r))u=r.clone();else if("string"==typeof r)u=o(r);else if(r)if(r===Math.floor(r))u=a(r);else{for(;r!==Math.floor(r);)r*=Math.pow(2,256),h+=256;u=a(r)}else u=a(1);h>0?c=c.ushln(h):h<0&&(u=u.ushln(-h));return s(c,u)}},{"./div":82,"./is-rat":84,"./lib/is-bn":88,"./lib/num-to-bn":89,"./lib/rationalize":90,"./lib/str-to-bn":91}],84:[function(t,e,r){"use strict";var n=t("./lib/is-bn");e.exports=function(t){return Array.isArray(t)&&2===t.length&&n(t[0])&&n(t[1])}},{"./lib/is-bn":88}],85:[function(t,e,r){"use strict";var n=t("bn.js");e.exports=function(t){return t.cmp(new n(0))}},{"bn.js":99}],86:[function(t,e,r){"use strict";var n=t("./bn-sign");e.exports=function(t){var e=t.length,r=t.words,i=0;if(1===e)i=r[0];else if(2===e)i=r[0]+67108864*r[1];else for(var a=0;a<e;a++){var o=r[a];i+=o*Math.pow(67108864,a)}return n(t)*i}},{"./bn-sign":85}],87:[function(t,e,r){"use strict";var n=t("double-bits"),i=t("bit-twiddle").countTrailingZeros;e.exports=function(t){var e=i(n.lo(t));if(e<32)return e;var r=i(n.hi(t));if(r>20)return 52;return r+32}},{"bit-twiddle":97,"double-bits":173}],88:[function(t,e,r){"use strict";t("bn.js");e.exports=function(t){return t&&"object"==typeof t&&Boolean(t.words)}},{"bn.js":99}],89:[function(t,e,r){"use strict";var n=t("bn.js"),i=t("double-bits");e.exports=function(t){var e=i.exponent(t);return e<52?new n(t):new n(t*Math.pow(2,52-e)).ushln(e-52)}},{"bn.js":99,"double-bits":173}],90:[function(t,e,r){"use strict";var n=t("./num-to-bn"),i=t("./bn-sign");e.exports=function(t,e){var r=i(t),a=i(e);if(0===r)return[n(0),n(1)];if(0===a)return[n(0),n(0)];a<0&&(t=t.neg(),e=e.neg());var o=t.gcd(e);if(o.cmpn(1))return[t.div(o),e.div(o)];return[t,e]}},{"./bn-sign":85,"./num-to-bn":89}],91:[function(t,e,r){"use strict";var n=t("bn.js");e.exports=function(t){return new n(t)}},{"bn.js":99}],92:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[0]),t[1].mul(e[1]))}},{"./lib/rationalize":90}],93:[function(t,e,r){"use strict";var n=t("./lib/bn-sign");e.exports=function(t){return n(t[0])*n(t[1])}},{"./lib/bn-sign":85}],94:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[1]).sub(t[1].mul(e[0])),t[1].mul(e[1]))}},{"./lib/rationalize":90}],95:[function(t,e,r){"use strict";var n=t("./lib/bn-to-num"),i=t("./lib/ctz");e.exports=function(t){var e=t[0],r=t[1];if(0===e.cmpn(0))return 0;var a=e.abs().divmod(r.abs()),o=a.div,s=n(o),l=a.mod,c=e.negative!==r.negative?-1:1;if(0===l.cmpn(0))return c*s;if(s){var u=i(s)+4,h=n(l.ushln(u).divRound(r));return c*(s+h*Math.pow(2,-u))}var f=r.bitLength()-l.bitLength()+53;h=n(l.ushln(f).divRound(r));return f<1023?c*h*Math.pow(2,-f):(h*=Math.pow(2,-1023),c*h*Math.pow(2,1023-f))}},{"./lib/bn-to-num":86,"./lib/ctz":87}],96:[function(t,e,r){"use strict";function n(t,e,r,n,i){var a=["function ",t,"(a,l,h,",n.join(","),"){",i?"":"var i=",r?"l-1":"h+1",";while(l<=h){var m=(l+h)>>>1,x=a[m]"];return i?e.indexOf("c")<0?a.push(";if(x===y){return m}else if(x<=y){"):a.push(";var p=c(x,y);if(p===0){return m}else if(p<=0){"):a.push(";if(",e,"){i=m;"),r?a.push("l=m+1}else{h=m-1}"):a.push("h=m-1}else{l=m+1}"),a.push("}"),i?a.push("return -1};"):a.push("return i};"),a.join("")}function i(t,e,r,i){return new Function([n("A","x"+t+"y",e,["y"],i),n("P","c(x,y)"+t+"0",e,["y","c"],i),"function dispatchBsearch",r,"(a,y,c,l,h){if(typeof(c)==='function'){return P(a,(l===void 0)?0:l|0,(h===void 0)?a.length-1:h|0,y,c)}else{return A(a,(c===void 0)?0:c|0,(l===void 0)?a.length-1:l|0,y)}}return dispatchBsearch",r].join(""))()}e.exports={ge:i(">=",!1,"GE"),gt:i(">",!1,"GT"),lt:i("<",!0,"LT"),le:i("<=",!0,"LE"),eq:i("-",!0,"EQ",!0)}},{}],97:[function(t,e,r){"use strict";function n(t){var e=32;return(t&=-t)&&e--,65535&t&&(e-=16),16711935&t&&(e-=8),252645135&t&&(e-=4),858993459&t&&(e-=2),1431655765&t&&(e-=1),e}r.INT_BITS=32,r.INT_MAX=2147483647,r.INT_MIN=-1<<31,r.sign=function(t){return(t>0)-(t<0)},r.abs=function(t){var e=t>>31;return(t^e)-e},r.min=function(t,e){return e^(t^e)&-(t<e)},r.max=function(t,e){return t^(t^e)&-(t<e)},r.isPow2=function(t){return!(t&t-1||!t)},r.log2=function(t){var e,r;return e=(t>65535)<<4,e|=r=((t>>>=e)>255)<<3,e|=r=((t>>>=r)>15)<<2,(e|=r=((t>>>=r)>3)<<1)|(t>>>=r)>>1},r.log10=function(t){return t>=1e9?9:t>=1e8?8:t>=1e7?7:t>=1e6?6:t>=1e5?5:t>=1e4?4:t>=1e3?3:t>=100?2:t>=10?1:0},r.popCount=function(t){return 16843009*((t=(858993459&(t-=t>>>1&1431655765))+(t>>>2&858993459))+(t>>>4)&252645135)>>>24},r.countTrailingZeros=n,r.nextPow2=function(t){return t+=0===t,--t,t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)+1},r.prevPow2=function(t){return t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)-(t>>>1)},r.parity=function(t){return t^=t>>>16,t^=t>>>8,t^=t>>>4,27030>>>(t&=15)&1};var i=new Array(256);!function(t){for(var e=0;e<256;++e){var r=e,n=e,i=7;for(r>>>=1;r;r>>>=1)n<<=1,n|=1&r,--i;t[e]=n<<i&255}}(i),r.reverse=function(t){return i[255&t]<<24|i[t>>>8&255]<<16|i[t>>>16&255]<<8|i[t>>>24&255]},r.interleave2=function(t,e){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t&=65535)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e&=65535)|e<<8))|e<<4))|e<<2))|e<<1))<<1},r.deinterleave2=function(t,e){return(t=65535&((t=16711935&((t=252645135&((t=858993459&((t=t>>>e&1431655765)|t>>>1))|t>>>2))|t>>>4))|t>>>16))<<16>>16},r.interleave3=function(t,e,r){return t=1227133513&((t=3272356035&((t=251719695&((t=4278190335&((t&=1023)|t<<16))|t<<8))|t<<4))|t<<2),(t|=(e=1227133513&((e=3272356035&((e=251719695&((e=4278190335&((e&=1023)|e<<16))|e<<8))|e<<4))|e<<2))<<1)|(r=1227133513&((r=3272356035&((r=251719695&((r=4278190335&((r&=1023)|r<<16))|r<<8))|r<<4))|r<<2))<<2},r.deinterleave3=function(t,e){return(t=1023&((t=4278190335&((t=251719695&((t=3272356035&((t=t>>>e&1227133513)|t>>>2))|t>>>4))|t>>>8))|t>>>16))<<22>>22},r.nextCombination=function(t){var e=t|t-1;return e+1|(~e&-~e)-1>>>n(t)+1}},{}],98:[function(t,e,r){"use strict";var n=t("clamp");e.exports=function(t,e){e||(e={});var r,o,s,l,c,u,h,f,p,d,g,m=null==e.cutoff?.25:e.cutoff,v=null==e.radius?8:e.radius,y=e.channel||0;if(ArrayBuffer.isView(t)||Array.isArray(t)){if(!e.width||!e.height)throw Error("For raw data width and height should be provided by options");r=e.width,o=e.height,l=t,u=e.stride?e.stride:Math.floor(t.length/r/o)}else window.HTMLCanvasElement&&t instanceof window.HTMLCanvasElement?(h=(f=t).getContext("2d"),r=f.width,o=f.height,p=h.getImageData(0,0,r,o),l=p.data,u=4):window.CanvasRenderingContext2D&&t instanceof window.CanvasRenderingContext2D?(f=t.canvas,h=t,r=f.width,o=f.height,p=h.getImageData(0,0,r,o),l=p.data,u=4):window.ImageData&&t instanceof window.ImageData&&(p=t,r=t.width,o=t.height,l=p.data,u=4);if(s=Math.max(r,o),window.Uint8ClampedArray&&l instanceof window.Uint8ClampedArray||window.Uint8Array&&l instanceof window.Uint8Array)for(c=l,l=Array(r*o),d=0,g=c.length;d<g;d++)l[d]=c[d*u+y]/255;else if(1!==u)throw Error("Raw data can have only 1 value per pixel");var x=Array(r*o),b=Array(r*o),_=Array(s),w=Array(s),T=Array(s+1),k=Array(s);for(d=0,g=r*o;d<g;d++){var M=l[d];x[d]=1===M?0:0===M?i:Math.pow(Math.max(0,.5-M),2),b[d]=1===M?i:0===M?0:Math.pow(Math.max(0,M-.5),2)}a(x,r,o,_,w,k,T),a(b,r,o,_,w,k,T);var A=window.Float32Array?new Float32Array(r*o):new Array(r*o);for(d=0,g=r*o;d<g;d++)A[d]=n(1-((x[d]-b[d])/v+m),0,1);return A};var i=1e20;function a(t,e,r,n,i,a,s){for(var l=0;l<e;l++){for(var c=0;c<r;c++)n[c]=t[c*e+l];for(o(n,i,a,s,r),c=0;c<r;c++)t[c*e+l]=i[c]}for(c=0;c<r;c++){for(l=0;l<e;l++)n[l]=t[c*e+l];for(o(n,i,a,s,e),l=0;l<e;l++)t[c*e+l]=Math.sqrt(i[l])}}function o(t,e,r,n,a){r[0]=0,n[0]=-i,n[1]=+i;for(var o=1,s=0;o<a;o++){for(var l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);l<=n[s];)s--,l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);r[++s]=o,n[s]=l,n[s+1]=+i}for(o=0,s=0;o<a;o++){for(;n[s+1]<o;)s++;e[o]=(o-r[s])*(o-r[s])+t[r[s]]}}},{clamp:120}],99:[function(t,e,r){!function(e,r){"use strict";function n(t,e){if(!t)throw new Error(e||"Assertion failed")}function i(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}function a(t,e,r){if(a.isBN(t))return t;this.negative=0,this.words=null,this.length=0,this.red=null,null!==t&&("le"!==e&&"be"!==e||(r=e,e=10),this._init(t||0,e||10,r||"be"))}var o;"object"==typeof e?e.exports=a:r.BN=a,a.BN=a,a.wordSize=26;try{o=t("buffer").Buffer}catch(t){}function s(t,e,r){for(var n=0,i=Math.min(t.length,r),a=e;a<i;a++){var o=t.charCodeAt(a)-48;n<<=4,n|=o>=49&&o<=54?o-49+10:o>=17&&o<=22?o-17+10:15&o}return n}function l(t,e,r,n){for(var i=0,a=Math.min(t.length,r),o=e;o<a;o++){var s=t.charCodeAt(o)-48;i*=n,i+=s>=49?s-49+10:s>=17?s-17+10:s}return i}a.isBN=function(t){return t instanceof a||null!==t&&"object"==typeof t&&t.constructor.wordSize===a.wordSize&&Array.isArray(t.words)},a.max=function(t,e){return t.cmp(e)>0?t:e},a.min=function(t,e){return t.cmp(e)<0?t:e},a.prototype._init=function(t,e,r){if("number"==typeof t)return this._initNumber(t,e,r);if("object"==typeof t)return this._initArray(t,e,r);"hex"===e&&(e=16),n(e===(0|e)&&e>=2&&e<=36);var i=0;"-"===(t=t.toString().replace(/\s+/g,""))[0]&&i++,16===e?this._parseHex(t,i):this._parseBase(t,e,i),"-"===t[0]&&(this.negative=1),this.strip(),"le"===r&&this._initArray(this.toArray(),e,r)},a.prototype._initNumber=function(t,e,r){t<0&&(this.negative=1,t=-t),t<67108864?(this.words=[67108863&t],this.length=1):t<4503599627370496?(this.words=[67108863&t,t/67108864&67108863],this.length=2):(n(t<9007199254740992),this.words=[67108863&t,t/67108864&67108863,1],this.length=3),"le"===r&&this._initArray(this.toArray(),e,r)},a.prototype._initArray=function(t,e,r){if(n("number"==typeof t.length),t.length<=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var i=0;i<this.length;i++)this.words[i]=0;var a,o,s=0;if("be"===r)for(i=t.length-1,a=0;i>=0;i-=3)o=t[i]|t[i-1]<<8|t[i-2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);else if("le"===r)for(i=0,a=0;i<t.length;i+=3)o=t[i]|t[i+1]<<8|t[i+2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);return this.strip()},a.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r<this.length;r++)this.words[r]=0;var n,i,a=0;for(r=t.length-6,n=0;r>=e;r-=6)i=s(t,r,r+6),this.words[n]|=i<<a&67108863,this.words[n+1]|=i>>>26-a&4194303,(a+=24)>=26&&(a-=26,n++);r+6!==e&&(i=s(t,e,r+6),this.words[n]|=i<<a&67108863,this.words[n+1]|=i>>>26-a&4194303),this.strip()},a.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i<=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,o=a%n,s=Math.min(a,a-o)+r,c=0,u=r;u<s;u+=n)c=l(t,u,u+n,e),this.imuln(i),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c);if(0!==o){var h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},a.prototype.inspect=function(){return(this.red?"<BN-R: ":"<BN: ")+this.toString(16)+">"};var c=["","0","00","000","0000","00000","000000","0000000","00000000","000000000","0000000000","00000000000","000000000000","0000000000000","00000000000000","000000000000000","0000000000000000","00000000000000000","000000000000000000","0000000000000000000","00000000000000000000","000000000000000000000","0000000000000000000000","00000000000000000000000","000000000000000000000000","0000000000000000000000000"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(i=0|t.words[d])*(a=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||"hex"===t){r="";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!==(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r="";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r="0"+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}n(!1,"Base should be between 2 and 36")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n("undefined"!=typeof o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,c=new t(a),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<a;s++)c[s]=0}else{for(s=0;s<a-i;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[a-s-1]=o}return c},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Z)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(i=(i=i+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((a=a+Math.imul(f,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,Z)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,H)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Z)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Z)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(L,J)|0,a=a+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,a=a+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,i=(i=i+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,i=(i=i+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,i=(i=i+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,i=(i=i+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,h,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function x(){v.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function b(){v.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function _(){v.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function w(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function T(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(x,v),i(b,v),i(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(m[t])return m[t];var e;if("k256"===t)e=new y;else if("p224"===t)e=new x;else if("p192"===t)e=new b;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(h,new a(1).iushln(d-m-1));f=f.redMul(v),h=v.redSqr(),p=p.redMul(h),d=m}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new T(t)},i(T,w),T.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},T.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},T.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},T.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}("undefined"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){"use strict";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],101:[function(t,e,r){"use strict";e.exports=function(t,e,r){switch(arguments.length){case 1:return h(t);case 2:return"function"==typeof e?c(t,t,e,!0):f(t,e);case 3:return c(t,e,r,!1);default:throw new Error("box-intersect: Invalid arguments")}};var n,i=t("typedarray-pool"),a=t("./lib/sweep"),o=t("./lib/intersect");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var h,f=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,f,p))>0){if(1===u&&n)a.init(s),h=a.sweepComplete(u,r,0,s,f,p,0,s,f,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),h=1===u?a.sweepBipartite(u,r,0,s,f,p,0,c,d,g):o(u,r,n,s,f,p,c,d,g),i.free(d),i.free(g))}i.free(f),i.free(p)}return h}}}function u(t,e){n.push([t,e])}function h(t){return n=[],c(t,t,u,!0),n}function f(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":103,"./lib/sweep":107,"typedarray-pool":567}],102:[function(t,e,r){"use strict";var n=["d","ax","vv","rs","re","rb","ri","bs","be","bb","bi"];function i(t){var e="bruteForce"+(t?"Full":"Partial"),r=[],i=n.slice();t||i.splice(3,0,"fp");var a=["function "+e+"("+i.join()+"){"];function o(e,i){var o=function(t,e,r){var i="bruteForce"+(t?"Red":"Blue")+(e?"Flip":"")+(r?"Full":""),a=["function ",i,"(",n.join(),"){","var ","es","=2*","d",";"],o="for(var i=rs,rp=es*rs;i<re;++i,rp+=es){var x0=rb[ax+rp],x1=rb[ax+rp+d],xi=ri[i];",s="for(var j=bs,bp=es*bs;j<be;++j,bp+=es){var y0=bb[ax+bp],"+(r?"y1=bb[ax+bp+d],":"")+"yi=bi[j];";return t?a.push(o,"Q",":",s):a.push(s,"Q",":",o),r?a.push("if(y1<x0||x1<y0)continue;"):e?a.push("if(y0<=x0||x1<y0)continue;"):a.push("if(y0<x0||x1<y0)continue;"),a.push("for(var k=ax+1;k<d;++k){var r0=rb[k+rp],r1=rb[k+d+rp],b0=bb[k+bp],b1=bb[k+d+bp];if(r1<b0||b1<r0)continue Q;}var rv=vv("),e?a.push("yi,xi"):a.push("xi,yi"),a.push(");if(rv!==void 0)return rv;}}}"),{name:i,code:a.join("")}}(e,i,t);r.push(o.code),a.push("return "+o.name+"("+n.join()+");")}a.push("if(re-rs>be-bs){"),t?(o(!0,!1),a.push("}else{"),o(!1,!1)):(a.push("if(fp){"),o(!0,!0),a.push("}else{"),o(!0,!1),a.push("}}else{if(fp){"),o(!1,!0),a.push("}else{"),o(!1,!1),a.push("}")),a.push("}}return "+e);var s=r.join("")+a.join("");return new Function(s)()}r.partial=i(!1),r.full=i(!0)},{}],103:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,u,w,T,k,M){!function(t,e){var r=8*i.log2(e+1)*(t+1)|0,a=i.nextPow2(6*r);v.length<a&&(n.free(v),v=n.mallocInt32(a));var o=i.nextPow2(2*r);y.length<o&&(n.free(y),y=n.mallocDouble(o))}(t,a+T);var A,S=0,E=2*t;x(S++,0,0,a,0,T,r?16:0,-1/0,1/0),r||x(S++,0,0,T,0,a,1,-1/0,1/0);for(;S>0;){var C=6*(S-=1),L=v[C],P=v[C+1],I=v[C+2],z=v[C+3],O=v[C+4],D=v[C+5],R=2*S,F=y[R],B=y[R+1],N=1&D,j=!!(16&D),U=u,V=w,q=k,H=M;if(N&&(U=k,V=M,q=u,H=w),!(2&D&&(I=p(t,L,P,I,U,V,B),P>=I)||4&D&&(P=d(t,L,P,I,U,V,F))>=I)){var G=I-P,Y=O-z;if(j){if(t*G*(G+Y)<1<<22){if(void 0!==(A=l.scanComplete(t,L,e,P,I,U,V,z,O,q,H)))return A;continue}}else{if(t*Math.min(G,Y)<128){if(void 0!==(A=o(t,L,e,N,P,I,U,V,z,O,q,H)))return A;continue}if(t*G*Y<1<<22){if(void 0!==(A=l.scanBipartite(t,L,e,N,P,I,U,V,z,O,q,H)))return A;continue}}var W=h(t,L,P,I,U,V,F,B);if(P<W)if(t*(W-P)<128){if(void 0!==(A=s(t,L+1,e,P,W,U,V,z,O,q,H)))return A}else if(L===t-2){if(void 0!==(A=N?l.sweepBipartite(t,e,z,O,q,H,P,W,U,V):l.sweepBipartite(t,e,P,W,U,V,z,O,q,H)))return A}else x(S++,L+1,P,W,z,O,N,-1/0,1/0),x(S++,L+1,z,O,P,W,1^N,-1/0,1/0);if(W<I){var Z=c(t,L,z,O,q,H),X=q[E*Z+L],J=f(t,L,Z,O,q,H,X);if(J<O&&x(S++,L,W,I,J,O,(4|N)+(j?16:0),X,B),z<Z&&x(S++,L,W,I,z,Z,(2|N)+(j?16:0),F,X),Z+1===J){if(void 0!==(A=j?_(t,L,e,W,I,U,V,Z,q,H[Z]):b(t,L,e,N,W,I,U,V,Z,q,H[Z])))return A}else if(Z<J){var K;if(j){if(K=g(t,L,W,I,U,V,X),W<K){var Q=f(t,L,W,K,U,V,X);if(L===t-2){if(W<Q&&void 0!==(A=l.sweepComplete(t,e,W,Q,U,V,Z,J,q,H)))return A;if(Q<K&&void 0!==(A=l.sweepBipartite(t,e,Q,K,U,V,Z,J,q,H)))return A}else W<Q&&x(S++,L+1,W,Q,Z,J,16,-1/0,1/0),Q<K&&(x(S++,L+1,Q,K,Z,J,0,-1/0,1/0),x(S++,L+1,Z,J,Q,K,1,-1/0,1/0))}}else K=N?m(t,L,W,I,U,V,X):g(t,L,W,I,U,V,X),W<K&&(L===t-2?A=N?l.sweepBipartite(t,e,Z,J,q,H,W,K,U,V):l.sweepBipartite(t,e,W,K,U,V,Z,J,q,H):(x(S++,L+1,W,K,Z,J,N,-1/0,1/0),x(S++,L+1,Z,J,W,K,1^N,-1/0,1/0)))}}}}};var n=t("typedarray-pool"),i=t("bit-twiddle"),a=t("./brute"),o=a.partial,s=a.full,l=t("./sweep"),c=t("./median"),u=t("./partition"),h=u("!(lo>=p0)&&!(p1>=hi)",["p0","p1"]),f=u("lo===p0",["p0"]),p=u("lo<p0",["p0"]),d=u("hi<=p0",["p0"]),g=u("lo<=p0&&p0<=hi",["p0"]),m=u("lo<p0&&p0<=hi",["p0"]),v=n.mallocInt32(1024),y=n.mallocDouble(1024);function x(t,e,r,n,i,a,o,s,l){var c=6*t;v[c]=e,v[c+1]=r,v[c+2]=n,v[c+3]=i,v[c+4]=a,v[c+5]=o;var u=2*t;y[u]=s,y[u+1]=l}function b(t,e,r,n,i,a,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=i,g=i*h;d<a;++d,g+=h){var m=o[g+e],v=o[g+e+t];if(!(p<m||v<p)&&(!n||p!==m)){for(var y,x=s[d],b=e+1;b<t;++b){m=o[g+b],v=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(v<_||w<m)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function _(t,e,r,n,i,a,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<i;++p,d+=u){var g=o[p];if(g!==c){var m=a[d+e],v=a[d+e+t];if(!(f<m||v<f)){for(var y=e+1;y<t;++y){m=a[d+y],v=a[d+y+t];var x=l[h+y],b=l[h+y+t];if(v<x||b<m)continue t}var _=r(g,c);if(void 0!==_)return _}}}}},{"./brute":102,"./median":104,"./partition":105,"./sweep":107,"bit-twiddle":97,"typedarray-pool":567}],104:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,o,s){if(a<=r+1)return r;var l=r,c=a,u=a+r>>>1,h=2*t,f=u,p=o[h*u+e];for(;l<c;){if(c-l<8){i(t,e,l,c,o,s),p=o[h*u+e];break}var d=c-l,g=Math.random()*d+l|0,m=o[h*g+e],v=Math.random()*d+l|0,y=o[h*v+e],x=Math.random()*d+l|0,b=o[h*x+e];m<=y?b>=y?(f=v,p=y):m>=b?(f=g,p=m):(f=x,p=b):y>=b?(f=v,p=y):b>=m?(f=g,p=m):(f=x,p=b);for(var _=h*(c-1),w=h*f,T=0;T<h;++T,++_,++w){var k=o[_];o[_]=o[w],o[w]=k}var M=s[c-1];s[c-1]=s[f],s[f]=M,f=n(t,e,l,c-1,o,s,p);for(_=h*(c-1),w=h*f,T=0;T<h;++T,++_,++w){k=o[_];o[_]=o[w],o[w]=k}M=s[c-1];if(s[c-1]=s[f],s[f]=M,u<f){for(c=f-1;l<c&&o[h*(c-1)+e]===p;)c-=1;c+=1}else{if(!(f<u))break;for(l=f+1;l<c&&o[h*l+e]===p;)l+=1}}return n(t,e,r,u,o,s,o[h*u+e])};var n=t("./partition")("lo<p0",["p0"]);function i(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=i[s],u=l,h=o*(l-1);u>r&&i[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=i[f];i[f]=i[p],i[p]=g}var m=a[u];a[u]=a[u-1],a[u-1]=m}}},{"./partition":105}],105:[function(t,e,r){"use strict";e.exports=function(t,e){var r="abcdef".split("").concat(e),n=[];t.indexOf("lo")>=0&&n.push("lo=e[k+n]");t.indexOf("hi")>=0&&n.push("hi=e[k+o]");return r.push("for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m".replace("_",n.join()).replace("$",t)),Function.apply(void 0,r)}},{}],106:[function(t,e,r){"use strict";e.exports=function(t,e){e<=128?n(0,e-1,t):function t(e,r,u){var h=(r-e+1)/6|0,f=e+h,p=r-h,d=e+r>>1,g=d-h,m=d+h,v=f,y=g,x=d,b=m,_=p,w=e+1,T=r-1,k=0;l(v,y,u)&&(k=v,v=y,y=k);l(b,_,u)&&(k=b,b=_,_=k);l(v,x,u)&&(k=v,v=x,x=k);l(y,x,u)&&(k=y,y=x,x=k);l(v,b,u)&&(k=v,v=b,b=k);l(x,b,u)&&(k=x,x=b,b=k);l(y,_,u)&&(k=y,y=_,_=k);l(y,x,u)&&(k=y,y=x,x=k);l(b,_,u)&&(k=b,b=_,_=k);for(var M=u[2*y],A=u[2*y+1],S=u[2*b],E=u[2*b+1],C=2*v,L=2*x,P=2*_,I=2*f,z=2*d,O=2*p,D=0;D<2;++D){var R=u[C+D],F=u[L+D],B=u[P+D];u[I+D]=R,u[z+D]=F,u[O+D]=B}a(g,e,u),a(m,r,u);for(var N=w;N<=T;++N)if(c(N,M,A,u))N!==w&&i(N,w,u),++w;else if(!c(N,S,E,u))for(;;){if(c(T,S,E,u)){c(T,M,A,u)?(o(N,w,T,u),++w,--T):(i(N,T,u),--T);break}if(--T<N)break}s(e,w-1,M,A,u),s(r,T+1,S,E,u),w-2-e<=32?n(e,w-2,u):t(e,w-2,u);r-(T+2)<=32?n(T+2,r,u):t(T+2,r,u);T-w<=32?n(w,T,u):t(w,T,u)}(0,e-1,t)};function n(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var c=r[l-2],u=r[l-1];if(c<a)break;if(c===a&&u<o)break;r[l]=c,r[l+1]=u,l-=2}r[l]=a,r[l+1]=o}}function i(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function a(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function o(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function s(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function l(t,e,r){e*=2;var n=r[t*=2],i=r[e];return!(n<i)&&(n!==i||r[t+1]>r[e+1])}function c(t,e,r,n){var i=n[t*=2];return i<e||i===e&&n[t+1]<r}},{}],107:[function(t,e,r){"use strict";e.exports={init:function(t){var e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));h.length<e&&(n.free(h),h=n.mallocInt32(e));var r=8*e;f.length<r&&(n.free(f),f=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,h,g,m,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;f[y++]=i[k+b],f[y++]=-(T+1),f[y++]=i[k+_],f[y++]=T}for(w=h;w<g;++w){T=v[w]+(1<<28);var M=x*w;f[y++]=m[M+b],f[y++]=-T,f[y++]=m[M+_],f[y++]=T}var A=y>>>1;a(f,A);var S=0,E=0;for(w=0;w<A;++w){var C=0|f[2*w+1];if(C>=1<<28)p(l,c,E--,C=C-(1<<28)|0);else if(C>=0)p(o,s,S--,C);else if(C<=-(1<<28)){C=-C-(1<<28)|0;for(var L=0;L<S;++L){if(void 0!==(P=e(o[L],C)))return P}d(l,c,E++,C)}else{C=-C-1|0;for(L=0;L<E;++L){var P;if(void 0!==(P=e(C,l[L])))return P}d(o,s,S++,C)}}},sweepComplete:function(t,e,r,n,i,g,m,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var M=g[k]+1<<1,A=_*k;f[b++]=i[A+w],f[b++]=-M,f[b++]=i[A+T],f[b++]=M}for(k=m;k<v;++k){M=x[k]+1<<1;var S=_*k;f[b++]=y[S+w],f[b++]=1|-M,f[b++]=y[S+T],f[b++]=1|M}var E=b>>>1;a(f,E);var C=0,L=0,P=0;for(k=0;k<E;++k){var I=0|f[2*k+1],z=1&I;if(k<E-1&&I>>1==f[2*k+3]>>1&&(z=2,k+=1),I<0){for(var O=-(I>>1)-1,D=0;D<P;++D){if(void 0!==(R=e(u[D],O)))return R}if(0!==z)for(D=0;D<C;++D){if(void 0!==(R=e(o[D],O)))return R}if(1!==z)for(D=0;D<L;++D){var R;if(void 0!==(R=e(l[D],O)))return R}0===z?d(o,s,C++,O):1===z?d(l,c,L++,O):2===z&&d(u,h,P++,O)}else{O=(I>>1)-1;0===z?p(o,s,C--,O):1===z?p(l,c,L--,O):2===z&&p(u,h,P--,O)}}},scanBipartite:function(t,e,r,n,i,l,c,u,h,g,m,v){var y=0,x=2*t,b=e,_=e+t,w=1,T=1;n?T=1<<28:w=1<<28;for(var k=i;k<l;++k){var M=k+w,A=x*k;f[y++]=c[A+b],f[y++]=-M,f[y++]=c[A+_],f[y++]=M}for(k=h;k<g;++k){M=k+T;var S=x*k;f[y++]=m[S+b],f[y++]=-M}var E=y>>>1;a(f,E);var C=0;for(k=0;k<E;++k){var L=0|f[2*k+1];if(L<0){var P=!1;if((M=-L)>=1<<28?(P=!n,M-=1<<28):(P=!!n,M-=1),P)d(o,s,C++,M);else{var I=v[M],z=x*M,O=m[z+e+1],D=m[z+e+1+t];t:for(var R=0;R<C;++R){var F=o[R],B=x*F;if(!(D<c[B+e+1]||c[B+e+1+t]<O)){for(var N=e+2;N<t;++N)if(m[z+N+t]<c[B+N]||c[B+N+t]<m[z+N])continue t;var j,U=u[F];if(void 0!==(j=n?r(I,U):r(U,I)))return j}}}}else p(o,s,C--,L-w)}},scanComplete:function(t,e,r,n,i,s,l,c,u,h,p){for(var d=0,g=2*t,m=e,v=e+t,y=n;y<i;++y){var x=y+(1<<28),b=g*y;f[d++]=s[b+m],f[d++]=-x,f[d++]=s[b+v],f[d++]=x}for(y=c;y<u;++y){x=y+1;var _=g*y;f[d++]=h[_+m],f[d++]=-x}var w=d>>>1;a(f,w);var T=0;for(y=0;y<w;++y){var k=0|f[2*y+1];if(k<0){if((x=-k)>=1<<28)o[T++]=x-(1<<28);else{var M=p[x-=1],A=g*x,S=h[A+e+1],E=h[A+e+1+t];t:for(var C=0;C<T;++C){var L=o[C],P=l[L];if(P===M)break;var I=g*L;if(!(E<s[I+e+1]||s[I+e+1+t]<S)){for(var z=e+2;z<t;++z)if(h[A+z+t]<s[I+z]||s[I+z+t]<h[A+z])continue t;var O=r(P,M);if(void 0!==O)return O}}}}else{for(x=k-(1<<28),C=T-1;C>=0;--C)if(o[C]===x){for(z=C+1;z<T;++z)o[z-1]=o[z];break}--T}}}};var n=t("typedarray-pool"),i=t("bit-twiddle"),a=t("./sort"),o=n.mallocInt32(1024),s=n.mallocInt32(1024),l=n.mallocInt32(1024),c=n.mallocInt32(1024),u=n.mallocInt32(1024),h=n.mallocInt32(1024),f=n.mallocDouble(8192);function p(t,e,r,n){var i=e[n],a=t[r-1];t[i]=a,e[a]=i}function d(t,e,r,n){t[r]=n,e[n]=r}},{"./sort":106,"bit-twiddle":97,"typedarray-pool":567}],108:[function(t,e,r){},{}],109:[function(t,e,r){arguments[4][108][0].apply(r,arguments)},{dup:108}],110:[function(t,e,r){var n=Object.create||function(t){var e=function(){};return e.prototype=t,new e},i=Object.keys||function(t){var e=[];for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&e.push(r);return r},a=Function.prototype.bind||function(t){var e=this;return function(){return e.apply(t,arguments)}};function o(){this._events&&Object.prototype.hasOwnProperty.call(this,"_events")||(this._events=n(null),this._eventsCount=0),this._maxListeners=this._maxListeners||void 0}e.exports=o,o.EventEmitter=o,o.prototype._events=void 0,o.prototype._maxListeners=void 0;var s,l=10;try{var c={};Object.defineProperty&&Object.defineProperty(c,"x",{value:0}),s=0===c.x}catch(t){s=!1}function u(t){return void 0===t._maxListeners?o.defaultMaxListeners:t._maxListeners}function h(t,e,r){if(e)t.call(r);else for(var n=t.length,i=_(t,n),a=0;a<n;++a)i[a].call(r)}function f(t,e,r,n){if(e)t.call(r,n);else for(var i=t.length,a=_(t,i),o=0;o<i;++o)a[o].call(r,n)}function p(t,e,r,n,i){if(e)t.call(r,n,i);else for(var a=t.length,o=_(t,a),s=0;s<a;++s)o[s].call(r,n,i)}function d(t,e,r,n,i,a){if(e)t.call(r,n,i,a);else for(var o=t.length,s=_(t,o),l=0;l<o;++l)s[l].call(r,n,i,a)}function g(t,e,r,n){if(e)t.apply(r,n);else for(var i=t.length,a=_(t,i),o=0;o<i;++o)a[o].apply(r,n)}function m(t,e,r,i){var a,o,s;if("function"!=typeof r)throw new TypeError('"listener" argument must be a function');if((o=t._events)?(o.newListener&&(t.emit("newListener",e,r.listener?r.listener:r),o=t._events),s=o[e]):(o=t._events=n(null),t._eventsCount=0),s){if("function"==typeof s?s=o[e]=i?[r,s]:[s,r]:i?s.unshift(r):s.push(r),!s.warned&&(a=u(t))&&a>0&&s.length>a){s.warned=!0;var l=new Error("Possible EventEmitter memory leak detected. "+s.length+' "'+String(e)+'" listeners added. Use emitter.setMaxListeners() to increase limit.');l.name="MaxListenersExceededWarning",l.emitter=t,l.type=e,l.count=s.length,"object"==typeof console&&console.warn&&console.warn("%s: %s",l.name,l.message)}}else s=o[e]=r,++t._eventsCount;return t}function v(){if(!this.fired)switch(this.target.removeListener(this.type,this.wrapFn),this.fired=!0,arguments.length){case 0:return this.listener.call(this.target);case 1:return this.listener.call(this.target,arguments[0]);case 2:return this.listener.call(this.target,arguments[0],arguments[1]);case 3:return this.listener.call(this.target,arguments[0],arguments[1],arguments[2]);default:for(var t=new Array(arguments.length),e=0;e<t.length;++e)t[e]=arguments[e];this.listener.apply(this.target,t)}}function y(t,e,r){var n={fired:!1,wrapFn:void 0,target:t,type:e,listener:r},i=a.call(v,n);return i.listener=r,n.wrapFn=i,i}function x(t,e,r){var n=t._events;if(!n)return[];var i=n[e];return i?"function"==typeof i?r?[i.listener||i]:[i]:r?function(t){for(var e=new Array(t.length),r=0;r<e.length;++r)e[r]=t[r].listener||t[r];return e}(i):_(i,i.length):[]}function b(t){var e=this._events;if(e){var r=e[t];if("function"==typeof r)return 1;if(r)return r.length}return 0}function _(t,e){for(var r=new Array(e),n=0;n<e;++n)r[n]=t[n];return r}s?Object.defineProperty(o,"defaultMaxListeners",{enumerable:!0,get:function(){return l},set:function(t){if("number"!=typeof t||t<0||t!=t)throw new TypeError('"defaultMaxListeners" must be a positive number');l=t}}):o.defaultMaxListeners=l,o.prototype.setMaxListeners=function(t){if("number"!=typeof t||t<0||isNaN(t))throw new TypeError('"n" argument must be a positive number');return this._maxListeners=t,this},o.prototype.getMaxListeners=function(){return u(this)},o.prototype.emit=function(t){var e,r,n,i,a,o,s="error"===t;if(o=this._events)s=s&&null==o.error;else if(!s)return!1;if(s){if(arguments.length>1&&(e=arguments[1]),e instanceof Error)throw e;var l=new Error('Unhandled "error" event. ('+e+")");throw l.context=e,l}if(!(r=o[t]))return!1;var c="function"==typeof r;switch(n=arguments.length){case 1:h(r,c,this);break;case 2:f(r,c,this,arguments[1]);break;case 3:p(r,c,this,arguments[1],arguments[2]);break;case 4:d(r,c,this,arguments[1],arguments[2],arguments[3]);break;default:for(i=new Array(n-1),a=1;a<n;a++)i[a-1]=arguments[a];g(r,c,this,i)}return!0},o.prototype.addListener=function(t,e){return m(this,t,e,!1)},o.prototype.on=o.prototype.addListener,o.prototype.prependListener=function(t,e){return m(this,t,e,!0)},o.prototype.once=function(t,e){if("function"!=typeof e)throw new TypeError('"listener" argument must be a function');return this.on(t,y(this,t,e)),this},o.prototype.prependOnceListener=function(t,e){if("function"!=typeof e)throw new TypeError('"listener" argument must be a function');return this.prependListener(t,y(this,t,e)),this},o.prototype.removeListener=function(t,e){var r,i,a,o,s;if("function"!=typeof e)throw new TypeError('"listener" argument must be a function');if(!(i=this._events))return this;if(!(r=i[t]))return this;if(r===e||r.listener===e)0==--this._eventsCount?this._events=n(null):(delete i[t],i.removeListener&&this.emit("removeListener",t,r.listener||e));else if("function"!=typeof r){for(a=-1,o=r.length-1;o>=0;o--)if(r[o]===e||r[o].listener===e){s=r[o].listener,a=o;break}if(a<0)return this;0===a?r.shift():function(t,e){for(var r=e,n=r+1,i=t.length;n<i;r+=1,n+=1)t[r]=t[n];t.pop()}(r,a),1===r.length&&(i[t]=r[0]),i.removeListener&&this.emit("removeListener",t,s||e)}return this},o.prototype.removeAllListeners=function(t){var e,r,a;if(!(r=this._events))return this;if(!r.removeListener)return 0===arguments.length?(this._events=n(null),this._eventsCount=0):r[t]&&(0==--this._eventsCount?this._events=n(null):delete r[t]),this;if(0===arguments.length){var o,s=i(r);for(a=0;a<s.length;++a)"removeListener"!==(o=s[a])&&this.removeAllListeners(o);return this.removeAllListeners("removeListener"),this._events=n(null),this._eventsCount=0,this}if("function"==typeof(e=r[t]))this.removeListener(t,e);else if(e)for(a=e.length-1;a>=0;a--)this.removeListener(t,e[a]);return this},o.prototype.listeners=function(t){return x(this,t,!0)},o.prototype.rawListeners=function(t){return x(this,t,!1)},o.listenerCount=function(t,e){return"function"==typeof t.listenerCount?t.listenerCount(e):b.call(t,e)},o.prototype.listenerCount=b,o.prototype.eventNames=function(){return this._eventsCount>0?Reflect.ownKeys(this._events):[]}},{}],111:[function(t,e,r){(function(e){
 /*!
  * The buffer module from node.js, for the browser.
  *
  * @author   Feross Aboukhadijeh <https://feross.org>
  * @license  MIT
  */
-"use strict";var e=t("base64-js"),n=t("ieee754");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value "'+t+'" is invalid for option "size"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if("number"==typeof t){if("string"==typeof e)throw new TypeError('The "string" argument must be of type string. Received type number');return l(t)}return o(t,e,r)}function o(t,e,r){if("string"==typeof t)return function(t,e){"string"==typeof e&&""!==e||(e="utf8");if(!a.isEncoding(e))throw new TypeError("Unknown encoding: "+e);var r=0|f(t,e),n=i(r),o=n.write(t,e);o!==r&&(n=n.slice(0,o));return n}(t,e);if(ArrayBuffer.isView(t))return c(t);if(null==t)throw TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type "+typeof t);if(B(t,ArrayBuffer)||t&&B(t.buffer,ArrayBuffer))return function(t,e,r){if(e<0||t.byteLength<e)throw new RangeError('"offset" is outside of buffer bounds');if(t.byteLength<e+(r||0))throw new RangeError('"length" is outside of buffer bounds');var n;n=void 0===e&&void 0===r?new Uint8Array(t):void 0===r?new Uint8Array(t,e):new Uint8Array(t,e,r);return n.__proto__=a.prototype,n}(t,e,r);if("number"==typeof t)throw new TypeError('The "value" argument must not be of type number. Received type number');var n=t.valueOf&&t.valueOf();if(null!=n&&n!==t)return a.from(n,e,r);var o=function(t){if(a.isBuffer(t)){var e=0|u(t.length),r=i(e);return 0===r.length||t.copy(r,0,0,e),r}if(void 0!==t.length)return"number"!=typeof t.length||N(t.length)?i(0):c(t);if("Buffer"===t.type&&Array.isArray(t.data))return c(t.data)}(t);if(o)return o;if("undefined"!=typeof Symbol&&null!=Symbol.toPrimitive&&"function"==typeof t[Symbol.toPrimitive])return a.from(t[Symbol.toPrimitive]("string"),e,r);throw new TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type "+typeof t)}function s(t){if("number"!=typeof t)throw new TypeError('"size" argument must be of type number');if(t<0)throw new RangeError('The value "'+t+'" is invalid for option "size"')}function l(t){return s(t),i(t<0?0:0|u(t))}function c(t){for(var e=t.length<0?0:0|u(t.length),r=i(e),n=0;n<e;n+=1)r[n]=255&t[n];return r}function u(t){if(t>=2147483647)throw new RangeError("Attempt to allocate Buffer larger than maximum size: 0x"+2147483647..toString(16)+" bytes");return 0|t}function f(t,e){if(a.isBuffer(t))return t.length;if(ArrayBuffer.isView(t)||B(t,ArrayBuffer))return t.byteLength;if("string"!=typeof t)throw new TypeError('The "string" argument must be one of type string, Buffer, or ArrayBuffer. Received type '+typeof t);var r=t.length,n=arguments.length>2&&!0===arguments[2];if(!n&&0===r)return 0;for(var i=!1;;)switch(e){case"ascii":case"latin1":case"binary":return r;case"utf8":case"utf-8":return D(t).length;case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return 2*r;case"hex":return r>>>1;case"base64":return R(t).length;default:if(i)return n?-1:D(t).length;e=(""+e).toLowerCase(),i=!0}}function h(t,e,r){var n=!1;if((void 0===e||e<0)&&(e=0),e>this.length)return"";if((void 0===r||r>this.length)&&(r=this.length),r<=0)return"";if((r>>>=0)<=(e>>>=0))return"";for(t||(t="utf8");;)switch(t){case"hex":return M(this,e,r);case"utf8":case"utf-8":return T(this,e,r);case"ascii":return k(this,e,r);case"latin1":case"binary":return A(this,e,r);case"base64":return w(this,e,r);case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return S(this,e,r);default:if(n)throw new TypeError("Unknown encoding: "+t);t=(t+"").toLowerCase(),n=!0}}function p(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function d(t,e,r,n,i){if(0===t.length)return-1;if("string"==typeof r?(n=r,r=0):r>2147483647?r=2147483647:r<-2147483648&&(r=-2147483648),N(r=+r)&&(r=i?0:t.length-1),r<0&&(r=t.length+r),r>=t.length){if(i)return-1;r=t.length-1}else if(r<0){if(!i)return-1;r=0}if("string"==typeof e&&(e=a.from(e,n)),a.isBuffer(e))return 0===e.length?-1:m(t,e,r,n,i);if("number"==typeof e)return e&=255,"function"==typeof Uint8Array.prototype.indexOf?i?Uint8Array.prototype.indexOf.call(t,e,r):Uint8Array.prototype.lastIndexOf.call(t,e,r):m(t,[e],r,n,i);throw new TypeError("val must be string, number or Buffer")}function m(t,e,r,n,i){var a,o=1,s=t.length,l=e.length;if(void 0!==n&&("ucs2"===(n=String(n).toLowerCase())||"ucs-2"===n||"utf16le"===n||"utf-16le"===n)){if(t.length<2||e.length<2)return-1;o=2,s/=2,l/=2,r/=2}function c(t,e){return 1===o?t[e]:t.readUInt16BE(e*o)}if(i){var u=-1;for(a=r;a<s;a++)if(c(t,a)===c(e,-1===u?0:a-u)){if(-1===u&&(u=a),a-u+1===l)return u*o}else-1!==u&&(a-=a-u),u=-1}else for(r+l>s&&(r=s-l),a=r;a>=0;a--){for(var f=!0,h=0;h<l;h++)if(c(t,a+h)!==c(e,h)){f=!1;break}if(f)return a}return-1}function g(t,e,r,n){r=Number(r)||0;var i=t.length-r;n?(n=Number(n))>i&&(n=i):n=i;var a=e.length;n>a/2&&(n=a/2);for(var o=0;o<n;++o){var s=parseInt(e.substr(2*o,2),16);if(N(s))return o;t[r+o]=s}return o}function v(t,e,r,n){return F(D(e,t.length-r),t,r,n)}function y(t,e,r,n){return F(function(t){for(var e=[],r=0;r<t.length;++r)e.push(255&t.charCodeAt(r));return e}(e),t,r,n)}function x(t,e,r,n){return y(t,e,r,n)}function b(t,e,r,n){return F(R(e),t,r,n)}function _(t,e,r,n){return F(function(t,e){for(var r,n,i,a=[],o=0;o<t.length&&!((e-=2)<0);++o)r=t.charCodeAt(o),n=r>>8,i=r%256,a.push(i),a.push(n);return a}(e,t.length-r),t,r,n)}function w(t,r,n){return 0===r&&n===t.length?e.fromByteArray(t):e.fromByteArray(t.slice(r,n))}function T(t,e,r){r=Math.min(t.length,r);for(var n=[],i=e;i<r;){var a,o,s,l,c=t[i],u=null,f=c>239?4:c>223?3:c>191?2:1;if(i+f<=r)switch(f){case 1:c<128&&(u=c);break;case 2:128==(192&(a=t[i+1]))&&(l=(31&c)<<6|63&a)>127&&(u=l);break;case 3:a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&(l=(15&c)<<12|(63&a)<<6|63&o)>2047&&(l<55296||l>57343)&&(u=l);break;case 4:a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&(l=(15&c)<<18|(63&a)<<12|(63&o)<<6|63&s)>65535&&l<1114112&&(u=l)}null===u?(u=65533,f=1):u>65535&&(u-=65536,n.push(u>>>10&1023|55296),u=56320|1023&u),n.push(u),i+=f}return function(t){var e=t.length;if(e<=4096)return String.fromCharCode.apply(String,t);var r="",n=0;for(;n<e;)r+=String.fromCharCode.apply(String,t.slice(n,n+=4096));return r}(n)}r.kMaxLength=2147483647,a.TYPED_ARRAY_SUPPORT=function(){try{var t=new Uint8Array(1);return t.__proto__={__proto__:Uint8Array.prototype,foo:function(){return 42}},42===t.foo()}catch(t){return!1}}(),a.TYPED_ARRAY_SUPPORT||"undefined"==typeof console||"function"!=typeof console.error||console.error("This browser lacks typed array (Uint8Array) support which is required by `buffer` v5.x. Use `buffer` v4.x if you require old browser support."),Object.defineProperty(a.prototype,"parent",{enumerable:!0,get:function(){if(a.isBuffer(this))return this.buffer}}),Object.defineProperty(a.prototype,"offset",{enumerable:!0,get:function(){if(a.isBuffer(this))return this.byteOffset}}),"undefined"!=typeof Symbol&&null!=Symbol.species&&a[Symbol.species]===a&&Object.defineProperty(a,Symbol.species,{value:null,configurable:!0,enumerable:!1,writable:!1}),a.poolSize=8192,a.from=function(t,e,r){return o(t,e,r)},a.prototype.__proto__=Uint8Array.prototype,a.__proto__=Uint8Array,a.alloc=function(t,e,r){return function(t,e,r){return s(t),t<=0?i(t):void 0!==e?"string"==typeof r?i(t).fill(e,r):i(t).fill(e):i(t)}(t,e,r)},a.allocUnsafe=function(t){return l(t)},a.allocUnsafeSlow=function(t){return l(t)},a.isBuffer=function(t){return null!=t&&!0===t._isBuffer&&t!==a.prototype},a.compare=function(t,e){if(B(t,Uint8Array)&&(t=a.from(t,t.offset,t.byteLength)),B(e,Uint8Array)&&(e=a.from(e,e.offset,e.byteLength)),!a.isBuffer(t)||!a.isBuffer(e))throw new TypeError('The "buf1", "buf2" arguments must be one of type Buffer or Uint8Array');if(t===e)return 0;for(var r=t.length,n=e.length,i=0,o=Math.min(r,n);i<o;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0},a.isEncoding=function(t){switch(String(t).toLowerCase()){case"hex":case"utf8":case"utf-8":case"ascii":case"latin1":case"binary":case"base64":case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return!0;default:return!1}},a.concat=function(t,e){if(!Array.isArray(t))throw new TypeError('"list" argument must be an Array of Buffers');if(0===t.length)return a.alloc(0);var r;if(void 0===e)for(e=0,r=0;r<t.length;++r)e+=t[r].length;var n=a.allocUnsafe(e),i=0;for(r=0;r<t.length;++r){var o=t[r];if(B(o,Uint8Array)&&(o=a.from(o)),!a.isBuffer(o))throw new TypeError('"list" argument must be an Array of Buffers');o.copy(n,i),i+=o.length}return n},a.byteLength=f,a.prototype._isBuffer=!0,a.prototype.swap16=function(){var t=this.length;if(t%2!=0)throw new RangeError("Buffer size must be a multiple of 16-bits");for(var e=0;e<t;e+=2)p(this,e,e+1);return this},a.prototype.swap32=function(){var t=this.length;if(t%4!=0)throw new RangeError("Buffer size must be a multiple of 32-bits");for(var e=0;e<t;e+=4)p(this,e,e+3),p(this,e+1,e+2);return this},a.prototype.swap64=function(){var t=this.length;if(t%8!=0)throw new RangeError("Buffer size must be a multiple of 64-bits");for(var e=0;e<t;e+=8)p(this,e,e+7),p(this,e+1,e+6),p(this,e+2,e+5),p(this,e+3,e+4);return this},a.prototype.toString=function(){var t=this.length;return 0===t?"":0===arguments.length?T(this,0,t):h.apply(this,arguments)},a.prototype.toLocaleString=a.prototype.toString,a.prototype.equals=function(t){if(!a.isBuffer(t))throw new TypeError("Argument must be a Buffer");return this===t||0===a.compare(this,t)},a.prototype.inspect=function(){var t="",e=r.INSPECT_MAX_BYTES;return t=this.toString("hex",0,e).replace(/(.{2})/g,"$1 ").trim(),this.length>e&&(t+=" ... "),"<Buffer "+t+">"},a.prototype.compare=function(t,e,r,n,i){if(B(t,Uint8Array)&&(t=a.from(t,t.offset,t.byteLength)),!a.isBuffer(t))throw new TypeError('The "target" argument must be one of type Buffer or Uint8Array. Received type '+typeof t);if(void 0===e&&(e=0),void 0===r&&(r=t?t.length:0),void 0===n&&(n=0),void 0===i&&(i=this.length),e<0||r>t.length||n<0||i>this.length)throw new RangeError("out of range index");if(n>=i&&e>=r)return 0;if(n>=i)return-1;if(e>=r)return 1;if(this===t)return 0;for(var o=(i>>>=0)-(n>>>=0),s=(r>>>=0)-(e>>>=0),l=Math.min(o,s),c=this.slice(n,i),u=t.slice(e,r),f=0;f<l;++f)if(c[f]!==u[f]){o=c[f],s=u[f];break}return o<s?-1:s<o?1:0},a.prototype.includes=function(t,e,r){return-1!==this.indexOf(t,e,r)},a.prototype.indexOf=function(t,e,r){return d(this,t,e,r,!0)},a.prototype.lastIndexOf=function(t,e,r){return d(this,t,e,r,!1)},a.prototype.write=function(t,e,r,n){if(void 0===e)n="utf8",r=this.length,e=0;else if(void 0===r&&"string"==typeof e)n=e,r=this.length,e=0;else{if(!isFinite(e))throw new Error("Buffer.write(string, encoding, offset[, length]) is no longer supported");e>>>=0,isFinite(r)?(r>>>=0,void 0===n&&(n="utf8")):(n=r,r=void 0)}var i=this.length-e;if((void 0===r||r>i)&&(r=i),t.length>0&&(r<0||e<0)||e>this.length)throw new RangeError("Attempt to write outside buffer bounds");n||(n="utf8");for(var a=!1;;)switch(n){case"hex":return g(this,t,e,r);case"utf8":case"utf-8":return v(this,t,e,r);case"ascii":return y(this,t,e,r);case"latin1":case"binary":return x(this,t,e,r);case"base64":return b(this,t,e,r);case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return _(this,t,e,r);default:if(a)throw new TypeError("Unknown encoding: "+n);n=(""+n).toLowerCase(),a=!0}},a.prototype.toJSON=function(){return{type:"Buffer",data:Array.prototype.slice.call(this._arr||this,0)}};function k(t,e,r){var n="";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(127&t[i]);return n}function A(t,e,r){var n="";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(t[i]);return n}function M(t,e,r){var n=t.length;(!e||e<0)&&(e=0),(!r||r<0||r>n)&&(r=n);for(var i="",a=e;a<r;++a)i+=z(t[a]);return i}function S(t,e,r){for(var n=t.slice(e,r),i="",a=0;a<n.length;a+=2)i+=String.fromCharCode(n[a]+256*n[a+1]);return i}function E(t,e,r){if(t%1!=0||t<0)throw new RangeError("offset is not uint");if(t+e>r)throw new RangeError("Trying to access beyond buffer length")}function L(t,e,r,n,i,o){if(!a.isBuffer(t))throw new TypeError('"buffer" argument must be a Buffer instance');if(e>i||e<o)throw new RangeError('"value" argument is out of bounds');if(r+n>t.length)throw new RangeError("Index out of range")}function C(t,e,r,n,i,a){if(r+n>t.length)throw new RangeError("Index out of range");if(r<0)throw new RangeError("Index out of range")}function P(t,e,r,i,a){return e=+e,r>>>=0,a||C(t,0,r,4),n.write(t,e,r,i,23,4),r+4}function I(t,e,r,i,a){return e=+e,r>>>=0,a||C(t,0,r,8),n.write(t,e,r,i,52,8),r+8}a.prototype.slice=function(t,e){var r=this.length;(t=~~t)<0?(t+=r)<0&&(t=0):t>r&&(t=r),(e=void 0===e?r:~~e)<0?(e+=r)<0&&(e=0):e>r&&(e=r),e<t&&(e=t);var n=this.subarray(t,e);return n.__proto__=a.prototype,n},a.prototype.readUIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n},a.prototype.readUIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t+--e],i=1;e>0&&(i*=256);)n+=this[t+--e]*i;return n},a.prototype.readUInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),this[t]},a.prototype.readUInt16LE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]|this[t+1]<<8},a.prototype.readUInt16BE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]<<8|this[t+1]},a.prototype.readUInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),(this[t]|this[t+1]<<8|this[t+2]<<16)+16777216*this[t+3]},a.prototype.readUInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),16777216*this[t]+(this[t+1]<<16|this[t+2]<<8|this[t+3])},a.prototype.readIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n>=(i*=128)&&(n-=Math.pow(2,8*e)),n},a.prototype.readIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=e,i=1,a=this[t+--n];n>0&&(i*=256);)a+=this[t+--n]*i;return a>=(i*=128)&&(a-=Math.pow(2,8*e)),a},a.prototype.readInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),128&this[t]?-1*(255-this[t]+1):this[t]},a.prototype.readInt16LE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t]|this[t+1]<<8;return 32768&r?4294901760|r:r},a.prototype.readInt16BE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t+1]|this[t]<<8;return 32768&r?4294901760|r:r},a.prototype.readInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]|this[t+1]<<8|this[t+2]<<16|this[t+3]<<24},a.prototype.readInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]<<24|this[t+1]<<16|this[t+2]<<8|this[t+3]},a.prototype.readFloatLE=function(t,e){return t>>>=0,e||E(t,4,this.length),n.read(this,t,!0,23,4)},a.prototype.readFloatBE=function(t,e){return t>>>=0,e||E(t,4,this.length),n.read(this,t,!1,23,4)},a.prototype.readDoubleLE=function(t,e){return t>>>=0,e||E(t,8,this.length),n.read(this,t,!0,52,8)},a.prototype.readDoubleBE=function(t,e){return t>>>=0,e||E(t,8,this.length),n.read(this,t,!1,52,8)},a.prototype.writeUIntLE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||L(this,t,e,r,Math.pow(2,8*r)-1,0);var i=1,a=0;for(this[e]=255&t;++a<r&&(i*=256);)this[e+a]=t/i&255;return e+r},a.prototype.writeUIntBE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||L(this,t,e,r,Math.pow(2,8*r)-1,0);var i=r-1,a=1;for(this[e+i]=255&t;--i>=0&&(a*=256);)this[e+i]=t/a&255;return e+r},a.prototype.writeUInt8=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,1,255,0),this[e]=255&t,e+1},a.prototype.writeUInt16LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,65535,0),this[e]=255&t,this[e+1]=t>>>8,e+2},a.prototype.writeUInt16BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,65535,0),this[e]=t>>>8,this[e+1]=255&t,e+2},a.prototype.writeUInt32LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,4294967295,0),this[e+3]=t>>>24,this[e+2]=t>>>16,this[e+1]=t>>>8,this[e]=255&t,e+4},a.prototype.writeUInt32BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,4294967295,0),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},a.prototype.writeIntLE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);L(this,t,e,r,i-1,-i)}var a=0,o=1,s=0;for(this[e]=255&t;++a<r&&(o*=256);)t<0&&0===s&&0!==this[e+a-1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},a.prototype.writeIntBE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);L(this,t,e,r,i-1,-i)}var a=r-1,o=1,s=0;for(this[e+a]=255&t;--a>=0&&(o*=256);)t<0&&0===s&&0!==this[e+a+1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},a.prototype.writeInt8=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,1,127,-128),t<0&&(t=255+t+1),this[e]=255&t,e+1},a.prototype.writeInt16LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,32767,-32768),this[e]=255&t,this[e+1]=t>>>8,e+2},a.prototype.writeInt16BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,32767,-32768),this[e]=t>>>8,this[e+1]=255&t,e+2},a.prototype.writeInt32LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,2147483647,-2147483648),this[e]=255&t,this[e+1]=t>>>8,this[e+2]=t>>>16,this[e+3]=t>>>24,e+4},a.prototype.writeInt32BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,2147483647,-2147483648),t<0&&(t=4294967295+t+1),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},a.prototype.writeFloatLE=function(t,e,r){return P(this,t,e,!0,r)},a.prototype.writeFloatBE=function(t,e,r){return P(this,t,e,!1,r)},a.prototype.writeDoubleLE=function(t,e,r){return I(this,t,e,!0,r)},a.prototype.writeDoubleBE=function(t,e,r){return I(this,t,e,!1,r)},a.prototype.copy=function(t,e,r,n){if(!a.isBuffer(t))throw new TypeError("argument should be a Buffer");if(r||(r=0),n||0===n||(n=this.length),e>=t.length&&(e=t.length),e||(e=0),n>0&&n<r&&(n=r),n===r)return 0;if(0===t.length||0===this.length)return 0;if(e<0)throw new RangeError("targetStart out of bounds");if(r<0||r>=this.length)throw new RangeError("Index out of range");if(n<0)throw new RangeError("sourceEnd out of bounds");n>this.length&&(n=this.length),t.length-e<n-r&&(n=t.length-e+r);var i=n-r;if(this===t&&"function"==typeof Uint8Array.prototype.copyWithin)this.copyWithin(e,r,n);else if(this===t&&r<e&&e<n)for(var o=i-1;o>=0;--o)t[o+e]=this[o+r];else Uint8Array.prototype.set.call(t,this.subarray(r,n),e);return i},a.prototype.fill=function(t,e,r,n){if("string"==typeof t){if("string"==typeof e?(n=e,e=0,r=this.length):"string"==typeof r&&(n=r,r=this.length),void 0!==n&&"string"!=typeof n)throw new TypeError("encoding must be a string");if("string"==typeof n&&!a.isEncoding(n))throw new TypeError("Unknown encoding: "+n);if(1===t.length){var i=t.charCodeAt(0);("utf8"===n&&i<128||"latin1"===n)&&(t=i)}}else"number"==typeof t&&(t&=255);if(e<0||this.length<e||this.length<r)throw new RangeError("Out of range index");if(r<=e)return this;var o;if(e>>>=0,r=void 0===r?this.length:r>>>0,t||(t=0),"number"==typeof t)for(o=e;o<r;++o)this[o]=t;else{var s=a.isBuffer(t)?t:a.from(t,n),l=s.length;if(0===l)throw new TypeError('The value "'+t+'" is invalid for argument "value"');for(o=0;o<r-e;++o)this[o+e]=s[o%l]}return this};var O=/[^+/0-9A-Za-z-_]/g;function z(t){return t<16?"0"+t.toString(16):t.toString(16)}function D(t,e){var r;e=e||1/0;for(var n=t.length,i=null,a=[],o=0;o<n;++o){if((r=t.charCodeAt(o))>55295&&r<57344){if(!i){if(r>56319){(e-=3)>-1&&a.push(239,191,189);continue}if(o+1===n){(e-=3)>-1&&a.push(239,191,189);continue}i=r;continue}if(r<56320){(e-=3)>-1&&a.push(239,191,189),i=r;continue}r=65536+(i-55296<<10|r-56320)}else i&&(e-=3)>-1&&a.push(239,191,189);if(i=null,r<128){if((e-=1)<0)break;a.push(r)}else if(r<2048){if((e-=2)<0)break;a.push(r>>6|192,63&r|128)}else if(r<65536){if((e-=3)<0)break;a.push(r>>12|224,r>>6&63|128,63&r|128)}else{if(!(r<1114112))throw new Error("Invalid code point");if((e-=4)<0)break;a.push(r>>18|240,r>>12&63|128,r>>6&63|128,63&r|128)}}return a}function R(t){return e.toByteArray(function(t){if((t=(t=t.split("=")[0]).trim().replace(O,"")).length<2)return"";for(;t.length%4!=0;)t+="=";return t}(t))}function F(t,e,r,n){for(var i=0;i<n&&!(i+r>=e.length||i>=t.length);++i)e[i+r]=t[i];return i}function B(t,e){return t instanceof e||null!=t&&null!=t.constructor&&null!=t.constructor.name&&t.constructor.name===e.name}function N(t){return t!=t}}).call(this)}).call(this,t("buffer").Buffer)},{"base64-js":75,buffer:80,ieee754:225}],81:[function(t,e,r){e.exports=function(t,e,r){return e<r?t<e?e:t>r?r:t:t<r?r:t>e?e:t}},{}],82:[function(t,e,r){"use strict";var n=t("clamp");function i(t,e){null==e&&(e=!0);var r=t[0],i=t[1],a=t[2],o=t[3];return null==o&&(o=e?1:255),e&&(r*=255,i*=255,a*=255,o*=255),16777216*(r=255&n(r,0,255))+((i=255&n(i,0,255))<<16)+((a=255&n(a,0,255))<<8)+(o=255&n(o,0,255))}e.exports=i,e.exports.to=i,e.exports.from=function(t,e){var r=(t=+t)>>>24,n=(16711680&t)>>>16,i=(65280&t)>>>8,a=255&t;return!1===e?[r,n,i,a]:[r/255,n/255,i/255,a/255]}},{clamp:81}],83:[function(t,e,r){"use strict";e.exports={aliceblue:[240,248,255],antiquewhite:[250,235,215],aqua:[0,255,255],aquamarine:[127,255,212],azure:[240,255,255],beige:[245,245,220],bisque:[255,228,196],black:[0,0,0],blanchedalmond:[255,235,205],blue:[0,0,255],blueviolet:[138,43,226],brown:[165,42,42],burlywood:[222,184,135],cadetblue:[95,158,160],chartreuse:[127,255,0],chocolate:[210,105,30],coral:[255,127,80],cornflowerblue:[100,149,237],cornsilk:[255,248,220],crimson:[220,20,60],cyan:[0,255,255],darkblue:[0,0,139],darkcyan:[0,139,139],darkgoldenrod:[184,134,11],darkgray:[169,169,169],darkgreen:[0,100,0],darkgrey:[169,169,169],darkkhaki:[189,183,107],darkmagenta:[139,0,139],darkolivegreen:[85,107,47],darkorange:[255,140,0],darkorchid:[153,50,204],darkred:[139,0,0],darksalmon:[233,150,122],darkseagreen:[143,188,143],darkslateblue:[72,61,139],darkslategray:[47,79,79],darkslategrey:[47,79,79],darkturquoise:[0,206,209],darkviolet:[148,0,211],deeppink:[255,20,147],deepskyblue:[0,191,255],dimgray:[105,105,105],dimgrey:[105,105,105],dodgerblue:[30,144,255],firebrick:[178,34,34],floralwhite:[255,250,240],forestgreen:[34,139,34],fuchsia:[255,0,255],gainsboro:[220,220,220],ghostwhite:[248,248,255],gold:[255,215,0],goldenrod:[218,165,32],gray:[128,128,128],green:[0,128,0],greenyellow:[173,255,47],grey:[128,128,128],honeydew:[240,255,240],hotpink:[255,105,180],indianred:[205,92,92],indigo:[75,0,130],ivory:[255,255,240],khaki:[240,230,140],lavender:[230,230,250],lavenderblush:[255,240,245],lawngreen:[124,252,0],lemonchiffon:[255,250,205],lightblue:[173,216,230],lightcoral:[240,128,128],lightcyan:[224,255,255],lightgoldenrodyellow:[250,250,210],lightgray:[211,211,211],lightgreen:[144,238,144],lightgrey:[211,211,211],lightpink:[255,182,193],lightsalmon:[255,160,122],lightseagreen:[32,178,170],lightskyblue:[135,206,250],lightslategray:[119,136,153],lightslategrey:[119,136,153],lightsteelblue:[176,196,222],lightyellow:[255,255,224],lime:[0,255,0],limegreen:[50,205,50],linen:[250,240,230],magenta:[255,0,255],maroon:[128,0,0],mediumaquamarine:[102,205,170],mediumblue:[0,0,205],mediumorchid:[186,85,211],mediumpurple:[147,112,219],mediumseagreen:[60,179,113],mediumslateblue:[123,104,238],mediumspringgreen:[0,250,154],mediumturquoise:[72,209,204],mediumvioletred:[199,21,133],midnightblue:[25,25,112],mintcream:[245,255,250],mistyrose:[255,228,225],moccasin:[255,228,181],navajowhite:[255,222,173],navy:[0,0,128],oldlace:[253,245,230],olive:[128,128,0],olivedrab:[107,142,35],orange:[255,165,0],orangered:[255,69,0],orchid:[218,112,214],palegoldenrod:[238,232,170],palegreen:[152,251,152],paleturquoise:[175,238,238],palevioletred:[219,112,147],papayawhip:[255,239,213],peachpuff:[255,218,185],peru:[205,133,63],pink:[255,192,203],plum:[221,160,221],powderblue:[176,224,230],purple:[128,0,128],rebeccapurple:[102,51,153],red:[255,0,0],rosybrown:[188,143,143],royalblue:[65,105,225],saddlebrown:[139,69,19],salmon:[250,128,114],sandybrown:[244,164,96],seagreen:[46,139,87],seashell:[255,245,238],sienna:[160,82,45],silver:[192,192,192],skyblue:[135,206,235],slateblue:[106,90,205],slategray:[112,128,144],slategrey:[112,128,144],snow:[255,250,250],springgreen:[0,255,127],steelblue:[70,130,180],tan:[210,180,140],teal:[0,128,128],thistle:[216,191,216],tomato:[255,99,71],turquoise:[64,224,208],violet:[238,130,238],wheat:[245,222,179],white:[255,255,255],whitesmoke:[245,245,245],yellow:[255,255,0],yellowgreen:[154,205,50]}},{}],84:[function(t,e,r){"use strict";var n=t("color-rgba"),i=t("clamp"),a=t("dtype");e.exports=function(t,e){"float"!==e&&e||(e="array"),"uint"===e&&(e="uint8"),"uint_clamped"===e&&(e="uint8_clamped");var r=new(a(e))(4),o="uint8"!==e&&"uint8_clamped"!==e;return t.length&&"string"!=typeof t||((t=n(t))[0]/=255,t[1]/=255,t[2]/=255),function(t){return t instanceof Uint8Array||t instanceof Uint8ClampedArray||!!(Array.isArray(t)&&(t[0]>1||0===t[0])&&(t[1]>1||0===t[1])&&(t[2]>1||0===t[2])&&(!t[3]||t[3]>1))}(t)?(r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=null!=t[3]?t[3]:255,o&&(r[0]/=255,r[1]/=255,r[2]/=255,r[3]/=255),r):(o?(r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=null!=t[3]?t[3]:1):(r[0]=i(Math.floor(255*t[0]),0,255),r[1]=i(Math.floor(255*t[1]),0,255),r[2]=i(Math.floor(255*t[2]),0,255),r[3]=null==t[3]?255:i(Math.floor(255*t[3]),0,255)),r)}},{clamp:81,"color-rgba":86,dtype:121}],85:[function(t,e,r){(function(r){(function(){"use strict";var n=t("color-name"),i=t("is-plain-obj"),a=t("defined");e.exports=function(t){var e,s,l=[],c=1;if("string"==typeof t)if(n[t])l=n[t].slice(),s="rgb";else if("transparent"===t)c=0,s="rgb",l=[0,0,0];else if(/^#[A-Fa-f0-9]+$/.test(t)){var u=(p=t.slice(1)).length;c=1,u<=4?(l=[parseInt(p[0]+p[0],16),parseInt(p[1]+p[1],16),parseInt(p[2]+p[2],16)],4===u&&(c=parseInt(p[3]+p[3],16)/255)):(l=[parseInt(p[0]+p[1],16),parseInt(p[2]+p[3],16),parseInt(p[4]+p[5],16)],8===u&&(c=parseInt(p[6]+p[7],16)/255)),l[0]||(l[0]=0),l[1]||(l[1]=0),l[2]||(l[2]=0),s="rgb"}else if(e=/^((?:rgb|hs[lvb]|hwb|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms)a?)\s*\(([^\)]*)\)/.exec(t)){var f=e[1],h="rgb"===f,p=f.replace(/a$/,"");s=p;u="cmyk"===p?4:"gray"===p?1:3;l=e[2].trim().split(/\s*,\s*/).map((function(t,e){if(/%$/.test(t))return e===u?parseFloat(t)/100:"rgb"===p?255*parseFloat(t)/100:parseFloat(t);if("h"===p[e]){if(/deg$/.test(t))return parseFloat(t);if(void 0!==o[t])return o[t]}return parseFloat(t)})),f===p&&l.push(1),c=h||void 0===l[u]?1:l[u],l=l.slice(0,u)}else t.length>10&&/[0-9](?:\s|\/)/.test(t)&&(l=t.match(/([0-9]+)/g).map((function(t){return parseFloat(t)})),s=t.match(/([a-z])/gi).join("").toLowerCase());else if(isNaN(t))if(i(t)){var d=a(t.r,t.red,t.R,null);null!==d?(s="rgb",l=[d,a(t.g,t.green,t.G),a(t.b,t.blue,t.B)]):(s="hsl",l=[a(t.h,t.hue,t.H),a(t.s,t.saturation,t.S),a(t.l,t.lightness,t.L,t.b,t.brightness)]),c=a(t.a,t.alpha,t.opacity,1),null!=t.opacity&&(c/=100)}else(Array.isArray(t)||r.ArrayBuffer&&ArrayBuffer.isView&&ArrayBuffer.isView(t))&&(l=[t[0],t[1],t[2]],s="rgb",c=4===t.length?t[3]:1);else s="rgb",l=[t>>>16,(65280&t)>>>8,255&t];return{space:s,values:l,alpha:c}};var o={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"color-name":83,defined:118,"is-plain-obj":231}],86:[function(t,e,r){"use strict";var n=t("color-parse"),i=t("color-space/hsl"),a=t("clamp");e.exports=function(t){var e,r=n(t);return r.space?((e=Array(3))[0]=a(r.values[0],0,255),e[1]=a(r.values[1],0,255),e[2]=a(r.values[2],0,255),"h"===r.space[0]&&(e=i.rgb(e)),e.push(a(r.alpha,0,1)),e):[]}},{clamp:81,"color-parse":85,"color-space/hsl":87}],87:[function(t,e,r){"use strict";var n=t("./rgb");e.exports={name:"hsl",min:[0,0,0],max:[360,100,100],channel:["hue","saturation","lightness"],alias:["HSL"],rgb:function(t){var e,r,n,i,a,o=t[0]/360,s=t[1]/100,l=t[2]/100;if(0===s)return[a=255*l,a,a];e=2*l-(r=l<.5?l*(1+s):l+s-l*s),i=[0,0,0];for(var c=0;c<3;c++)(n=o+1/3*-(c-1))<0?n++:n>1&&n--,a=6*n<1?e+6*(r-e)*n:2*n<1?r:3*n<2?e+(r-e)*(2/3-n)*6:e,i[c]=255*a;return i}},n.hsl=function(t){var e,r,n=t[0]/255,i=t[1]/255,a=t[2]/255,o=Math.min(n,i,a),s=Math.max(n,i,a),l=s-o;return s===o?e=0:n===s?e=(i-a)/l:i===s?e=2+(a-n)/l:a===s&&(e=4+(n-i)/l),(e=Math.min(60*e,360))<0&&(e+=360),r=(o+s)/2,[e,100*(s===o?0:r<=.5?l/(s+o):l/(2-s-o)),100*r]}},{"./rgb":88}],88:[function(t,e,r){"use strict";e.exports={name:"rgb",min:[0,0,0],max:[255,255,255],channel:["red","green","blue"],alias:["RGB"]}},{}],89:[function(t,e,r){e.exports={AFG:"afghan",ALA:"\\b\\wland",ALB:"albania",DZA:"algeria",ASM:"^(?=.*americ).*samoa",AND:"andorra",AGO:"angola",AIA:"anguill?a",ATA:"antarctica",ATG:"antigua",ARG:"argentin",ARM:"armenia",ABW:"^(?!.*bonaire).*\\baruba",AUS:"australia",AUT:"^(?!.*hungary).*austria|\\baustri.*\\bemp",AZE:"azerbaijan",BHS:"bahamas",BHR:"bahrain",BGD:"bangladesh|^(?=.*east).*paki?stan",BRB:"barbados",BLR:"belarus|byelo",BEL:"^(?!.*luxem).*belgium",BLZ:"belize|^(?=.*british).*honduras",BEN:"benin|dahome",BMU:"bermuda",BTN:"bhutan",BOL:"bolivia",BES:"^(?=.*bonaire).*eustatius|^(?=.*carib).*netherlands|\\bbes.?islands",BIH:"herzegovina|bosnia",BWA:"botswana|bechuana",BVT:"bouvet",BRA:"brazil",IOT:"british.?indian.?ocean",BRN:"brunei",BGR:"bulgaria",BFA:"burkina|\\bfaso|upper.?volta",BDI:"burundi",CPV:"verde",KHM:"cambodia|kampuchea|khmer",CMR:"cameroon",CAN:"canada",CYM:"cayman",CAF:"\\bcentral.african.republic",TCD:"\\bchad",CHL:"\\bchile",CHN:"^(?!.*\\bmac)(?!.*\\bhong)(?!.*\\btai)(?!.*\\brep).*china|^(?=.*peo)(?=.*rep).*china",CXR:"christmas",CCK:"\\bcocos|keeling",COL:"colombia",COM:"comoro",COG:"^(?!.*\\bdem)(?!.*\\bd[\\.]?r)(?!.*kinshasa)(?!.*zaire)(?!.*belg)(?!.*l.opoldville)(?!.*free).*\\bcongo",COK:"\\bcook",CRI:"costa.?rica",CIV:"ivoire|ivory",HRV:"croatia",CUB:"\\bcuba",CUW:"^(?!.*bonaire).*\\bcura(c|\xe7)ao",CYP:"cyprus",CSK:"czechoslovakia",CZE:"^(?=.*rep).*czech|czechia|bohemia",COD:"\\bdem.*congo|congo.*\\bdem|congo.*\\bd[\\.]?r|\\bd[\\.]?r.*congo|belgian.?congo|congo.?free.?state|kinshasa|zaire|l.opoldville|drc|droc|rdc",DNK:"denmark",DJI:"djibouti",DMA:"dominica(?!n)",DOM:"dominican.rep",ECU:"ecuador",EGY:"egypt",SLV:"el.?salvador",GNQ:"guine.*eq|eq.*guine|^(?=.*span).*guinea",ERI:"eritrea",EST:"estonia",ETH:"ethiopia|abyssinia",FLK:"falkland|malvinas",FRO:"faroe|faeroe",FJI:"fiji",FIN:"finland",FRA:"^(?!.*\\bdep)(?!.*martinique).*france|french.?republic|\\bgaul",GUF:"^(?=.*french).*guiana",PYF:"french.?polynesia|tahiti",ATF:"french.?southern",GAB:"gabon",GMB:"gambia",GEO:"^(?!.*south).*georgia",DDR:"german.?democratic.?republic|democratic.?republic.*germany|east.germany",DEU:"^(?!.*east).*germany|^(?=.*\\bfed.*\\brep).*german",GHA:"ghana|gold.?coast",GIB:"gibraltar",GRC:"greece|hellenic|hellas",GRL:"greenland",GRD:"grenada",GLP:"guadeloupe",GUM:"\\bguam",GTM:"guatemala",GGY:"guernsey",GIN:"^(?!.*eq)(?!.*span)(?!.*bissau)(?!.*portu)(?!.*new).*guinea",GNB:"bissau|^(?=.*portu).*guinea",GUY:"guyana|british.?guiana",HTI:"haiti",HMD:"heard.*mcdonald",VAT:"holy.?see|vatican|papal.?st",HND:"^(?!.*brit).*honduras",HKG:"hong.?kong",HUN:"^(?!.*austr).*hungary",ISL:"iceland",IND:"india(?!.*ocea)",IDN:"indonesia",IRN:"\\biran|persia",IRQ:"\\biraq|mesopotamia",IRL:"(^ireland)|(^republic.*ireland)",IMN:"^(?=.*isle).*\\bman",ISR:"israel",ITA:"italy",JAM:"jamaica",JPN:"japan",JEY:"jersey",JOR:"jordan",KAZ:"kazak",KEN:"kenya|british.?east.?africa|east.?africa.?prot",KIR:"kiribati",PRK:"^(?=.*democrat|people|north|d.*p.*.r).*\\bkorea|dprk|korea.*(d.*p.*r)",KWT:"kuwait",KGZ:"kyrgyz|kirghiz",LAO:"\\blaos?\\b",LVA:"latvia",LBN:"lebanon",LSO:"lesotho|basuto",LBR:"liberia",LBY:"libya",LIE:"liechtenstein",LTU:"lithuania",LUX:"^(?!.*belg).*luxem",MAC:"maca(o|u)",MDG:"madagascar|malagasy",MWI:"malawi|nyasa",MYS:"malaysia",MDV:"maldive",MLI:"\\bmali\\b",MLT:"\\bmalta",MHL:"marshall",MTQ:"martinique",MRT:"mauritania",MUS:"mauritius",MYT:"\\bmayotte",MEX:"\\bmexic",FSM:"fed.*micronesia|micronesia.*fed",MCO:"monaco",MNG:"mongolia",MNE:"^(?!.*serbia).*montenegro",MSR:"montserrat",MAR:"morocco|\\bmaroc",MOZ:"mozambique",MMR:"myanmar|burma",NAM:"namibia",NRU:"nauru",NPL:"nepal",NLD:"^(?!.*\\bant)(?!.*\\bcarib).*netherlands",ANT:"^(?=.*\\bant).*(nether|dutch)",NCL:"new.?caledonia",NZL:"new.?zealand",NIC:"nicaragua",NER:"\\bniger(?!ia)",NGA:"nigeria",NIU:"niue",NFK:"norfolk",MNP:"mariana",NOR:"norway",OMN:"\\boman|trucial",PAK:"^(?!.*east).*paki?stan",PLW:"palau",PSE:"palestin|\\bgaza|west.?bank",PAN:"panama",PNG:"papua|new.?guinea",PRY:"paraguay",PER:"peru",PHL:"philippines",PCN:"pitcairn",POL:"poland",PRT:"portugal",PRI:"puerto.?rico",QAT:"qatar",KOR:"^(?!.*d.*p.*r)(?!.*democrat)(?!.*people)(?!.*north).*\\bkorea(?!.*d.*p.*r)",MDA:"moldov|b(a|e)ssarabia",REU:"r(e|\xe9)union",ROU:"r(o|u|ou)mania",RUS:"\\brussia|soviet.?union|u\\.?s\\.?s\\.?r|socialist.?republics",RWA:"rwanda",BLM:"barth(e|\xe9)lemy",SHN:"helena",KNA:"kitts|\\bnevis",LCA:"\\blucia",MAF:"^(?=.*collectivity).*martin|^(?=.*france).*martin(?!ique)|^(?=.*french).*martin(?!ique)",SPM:"miquelon",VCT:"vincent",WSM:"^(?!.*amer).*samoa",SMR:"san.?marino",STP:"\\bs(a|\xe3)o.?tom(e|\xe9)",SAU:"\\bsa\\w*.?arabia",SEN:"senegal",SRB:"^(?!.*monte).*serbia",SYC:"seychell",SLE:"sierra",SGP:"singapore",SXM:"^(?!.*martin)(?!.*saba).*maarten",SVK:"^(?!.*cze).*slovak",SVN:"slovenia",SLB:"solomon",SOM:"somali",ZAF:"south.africa|s\\\\..?africa",SGS:"south.?georgia|sandwich",SSD:"\\bs\\w*.?sudan",ESP:"spain",LKA:"sri.?lanka|ceylon",SDN:"^(?!.*\\bs(?!u)).*sudan",SUR:"surinam|dutch.?guiana",SJM:"svalbard",SWZ:"swaziland",SWE:"sweden",CHE:"switz|swiss",SYR:"syria",TWN:"taiwan|taipei|formosa|^(?!.*peo)(?=.*rep).*china",TJK:"tajik",THA:"thailand|\\bsiam",MKD:"macedonia|fyrom",TLS:"^(?=.*leste).*timor|^(?=.*east).*timor",TGO:"togo",TKL:"tokelau",TON:"tonga",TTO:"trinidad|tobago",TUN:"tunisia",TUR:"turkey",TKM:"turkmen",TCA:"turks",TUV:"tuvalu",UGA:"uganda",UKR:"ukrain",ARE:"emirates|^u\\.?a\\.?e\\.?$|united.?arab.?em",GBR:"united.?kingdom|britain|^u\\.?k\\.?$",TZA:"tanzania",USA:"united.?states\\b(?!.*islands)|\\bu\\.?s\\.?a\\.?\\b|^\\s*u\\.?s\\.?\\b(?!.*islands)",UMI:"minor.?outlying.?is",URY:"uruguay",UZB:"uzbek",VUT:"vanuatu|new.?hebrides",VEN:"venezuela",VNM:"^(?!.*republic).*viet.?nam|^(?=.*socialist).*viet.?nam",VGB:"^(?=.*\\bu\\.?\\s?k).*virgin|^(?=.*brit).*virgin|^(?=.*kingdom).*virgin",VIR:"^(?=.*\\bu\\.?\\s?s).*virgin|^(?=.*states).*virgin",WLF:"futuna|wallis",ESH:"western.sahara",YEM:"^(?!.*arab)(?!.*north)(?!.*sana)(?!.*peo)(?!.*dem)(?!.*south)(?!.*aden)(?!.*\\bp\\.?d\\.?r).*yemen",YMD:"^(?=.*peo).*yemen|^(?!.*rep)(?=.*dem).*yemen|^(?=.*south).*yemen|^(?=.*aden).*yemen|^(?=.*\\bp\\.?d\\.?r).*yemen",YUG:"yugoslavia",ZMB:"zambia|northern.?rhodesia",EAZ:"zanzibar",ZWE:"zimbabwe|^(?!.*northern).*rhodesia"}},{}],90:[function(t,e,r){e.exports=["xx-small","x-small","small","medium","large","x-large","xx-large","larger","smaller"]},{}],91:[function(t,e,r){e.exports=["normal","condensed","semi-condensed","extra-condensed","ultra-condensed","expanded","semi-expanded","extra-expanded","ultra-expanded"]},{}],92:[function(t,e,r){e.exports=["normal","italic","oblique"]},{}],93:[function(t,e,r){e.exports=["normal","bold","bolder","lighter","100","200","300","400","500","600","700","800","900"]},{}],94:[function(t,e,r){"use strict";e.exports={parse:t("./parse"),stringify:t("./stringify")}},{"./parse":96,"./stringify":97}],95:[function(t,e,r){"use strict";var n=t("css-font-size-keywords");e.exports={isSize:function(t){return/^[\d\.]/.test(t)||-1!==t.indexOf("/")||-1!==n.indexOf(t)}}},{"css-font-size-keywords":90}],96:[function(t,e,r){"use strict";var n=t("unquote"),i=t("css-global-keywords"),a=t("css-system-font-keywords"),o=t("css-font-weight-keywords"),s=t("css-font-style-keywords"),l=t("css-font-stretch-keywords"),c=t("string-split-by"),u=t("./lib/util").isSize;e.exports=h;var f=h.cache={};function h(t){if("string"!=typeof t)throw new Error("Font argument must be a string.");if(f[t])return f[t];if(""===t)throw new Error("Cannot parse an empty string.");if(-1!==a.indexOf(t))return f[t]={system:t};for(var e,r={style:"normal",variant:"normal",weight:"normal",stretch:"normal",lineHeight:"normal",size:"1rem",family:["serif"]},h=c(t,/\s+/);e=h.shift();){if(-1!==i.indexOf(e))return["style","variant","weight","stretch"].forEach((function(t){r[t]=e})),f[t]=r;if(-1===s.indexOf(e))if("normal"!==e&&"small-caps"!==e)if(-1===l.indexOf(e)){if(-1===o.indexOf(e)){if(u(e)){var d=c(e,"/");if(r.size=d[0],null!=d[1]?r.lineHeight=p(d[1]):"/"===h[0]&&(h.shift(),r.lineHeight=p(h.shift())),!h.length)throw new Error("Missing required font-family.");return r.family=c(h.join(" "),/\s*,\s*/).map(n),f[t]=r}throw new Error("Unknown or unsupported font token: "+e)}r.weight=e}else r.stretch=e;else r.variant=e;else r.style=e}throw new Error("Missing required font-size.")}function p(t){var e=parseFloat(t);return e.toString()===t?e:t}},{"./lib/util":95,"css-font-stretch-keywords":91,"css-font-style-keywords":92,"css-font-weight-keywords":93,"css-global-keywords":98,"css-system-font-keywords":99,"string-split-by":299,unquote:323}],97:[function(t,e,r){"use strict";var n=t("pick-by-alias"),i=t("./lib/util").isSize,a=m(t("css-global-keywords")),o=m(t("css-system-font-keywords")),s=m(t("css-font-weight-keywords")),l=m(t("css-font-style-keywords")),c=m(t("css-font-stretch-keywords")),u={normal:1,"small-caps":1},f={serif:1,"sans-serif":1,monospace:1,cursive:1,fantasy:1,"system-ui":1},h="1rem",p="serif";function d(t,e){if(t&&!e[t]&&!a[t])throw Error("Unknown keyword `"+t+"`");return t}function m(t){for(var e={},r=0;r<t.length;r++)e[t[r]]=1;return e}e.exports=function(t){if((t=n(t,{style:"style fontstyle fontStyle font-style slope distinction",variant:"variant font-variant fontVariant fontvariant var capitalization",weight:"weight w font-weight fontWeight fontweight",stretch:"stretch font-stretch fontStretch fontstretch width",size:"size s font-size fontSize fontsize height em emSize",lineHeight:"lh line-height lineHeight lineheight leading",family:"font family fontFamily font-family fontfamily type typeface face",system:"system reserved default global"})).system)return t.system&&d(t.system,o),t.system;if(d(t.style,l),d(t.variant,u),d(t.weight,s),d(t.stretch,c),null==t.size&&(t.size=h),"number"==typeof t.size&&(t.size+="px"),!i)throw Error("Bad size value `"+t.size+"`");t.family||(t.family=p),Array.isArray(t.family)&&(t.family.length||(t.family=[p]),t.family=t.family.map((function(t){return f[t]?t:'"'+t+'"'})).join(", "));var e=[];return e.push(t.style),t.variant!==t.style&&e.push(t.variant),t.weight!==t.variant&&t.weight!==t.style&&e.push(t.weight),t.stretch!==t.weight&&t.stretch!==t.variant&&t.stretch!==t.style&&e.push(t.stretch),e.push(t.size+(null==t.lineHeight||"normal"===t.lineHeight||t.lineHeight+""=="1"?"":"/"+t.lineHeight)),e.push(t.family),e.filter(Boolean).join(" ")}},{"./lib/util":95,"css-font-stretch-keywords":91,"css-font-style-keywords":92,"css-font-weight-keywords":93,"css-global-keywords":98,"css-system-font-keywords":99,"pick-by-alias":248}],98:[function(t,e,r){e.exports=["inherit","initial","unset"]},{}],99:[function(t,e,r){e.exports=["caption","icon","menu","message-box","small-caption","status-bar"]},{}],100:[function(t,e,r){"use strict";var n,i=t("type/value/is"),a=t("type/value/ensure"),o=t("type/plain-function/ensure"),s=t("es5-ext/object/copy"),l=t("es5-ext/object/normalize-options"),c=t("es5-ext/object/map"),u=Function.prototype.bind,f=Object.defineProperty,h=Object.prototype.hasOwnProperty;n=function(t,e,r){var n,i=a(e)&&o(e.value);return delete(n=s(e)).writable,delete n.value,n.get=function(){return!r.overwriteDefinition&&h.call(this,t)?i:(e.value=u.call(i,r.resolveContext?r.resolveContext(this):this),f(this,t,e),this[t])},n},e.exports=function(t){var e=l(arguments[1]);return i(e.resolveContext)&&o(e.resolveContext),c(t,(function(t,r){return n(r,t,e)}))}},{"es5-ext/object/copy":141,"es5-ext/object/map":149,"es5-ext/object/normalize-options":150,"type/plain-function/ensure":316,"type/value/ensure":320,"type/value/is":321}],101:[function(t,e,r){"use strict";var n=t("type/value/is"),i=t("type/plain-function/is"),a=t("es5-ext/object/assign"),o=t("es5-ext/object/normalize-options"),s=t("es5-ext/string/#/contains");(e.exports=function(t,e){var r,i,l,c,u;return arguments.length<2||"string"!=typeof t?(c=e,e=t,t=null):c=arguments[2],n(t)?(r=s.call(t,"c"),i=s.call(t,"e"),l=s.call(t,"w")):(r=l=!0,i=!1),u={value:e,configurable:r,enumerable:i,writable:l},c?a(o(c),u):u}).gs=function(t,e,r){var l,c,u,f;return"string"!=typeof t?(u=r,r=e,e=t,t=null):u=arguments[3],n(e)?i(e)?n(r)?i(r)||(u=r,r=void 0):r=void 0:(u=e,e=r=void 0):e=void 0,n(t)?(l=s.call(t,"c"),c=s.call(t,"e")):(l=!0,c=!1),f={get:e,set:r,configurable:l,enumerable:c},u?a(o(u),f):f}},{"es5-ext/object/assign":138,"es5-ext/object/normalize-options":150,"es5-ext/string/#/contains":157,"type/plain-function/is":317,"type/value/is":321}],102:[function(t,e,r){!function(t,n){n("object"==typeof r&&void 0!==e?r:t.d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}function r(t){var r;return 1===t.length&&(r=t,t=function(t,n){return e(r(t),n)}),{left:function(e,r,n,i){for(null==n&&(n=0),null==i&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)<0?n=a+1:i=a}return n},right:function(e,r,n,i){for(null==n&&(n=0),null==i&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)>0?i=a:n=a+1}return n}}}var n=r(e),i=n.right,a=n.left;function o(t,e){return[t,e]}function s(t){return null===t?NaN:+t}function l(t,e){var r,n,i=t.length,a=0,o=-1,l=0,c=0;if(null==e)for(;++o<i;)isNaN(r=s(t[o]))||(c+=(n=r-l)*(r-(l+=n/++a)));else for(;++o<i;)isNaN(r=s(e(t[o],o,t)))||(c+=(n=r-l)*(r-(l+=n/++a)));if(a>1)return c/(a-1)}function c(t,e){var r=l(t,e);return r?Math.sqrt(r):r}function u(t,e){var r,n,i,a=t.length,o=-1;if(null==e){for(;++o<a;)if(null!=(r=t[o])&&r>=r)for(n=i=r;++o<a;)null!=(r=t[o])&&(n>r&&(n=r),i<r&&(i=r))}else for(;++o<a;)if(null!=(r=e(t[o],o,t))&&r>=r)for(n=i=r;++o<a;)null!=(r=e(t[o],o,t))&&(n>r&&(n=r),i<r&&(i=r));return[n,i]}var f=Array.prototype,h=f.slice,p=f.map;function d(t){return function(){return t}}function m(t){return t}function g(t,e,r){t=+t,e=+e,r=(i=arguments.length)<2?(e=t,t=0,1):i<3?1:+r;for(var n=-1,i=0|Math.max(0,Math.ceil((e-t)/r)),a=new Array(i);++n<i;)a[n]=t+n*r;return a}var v=Math.sqrt(50),y=Math.sqrt(10),x=Math.sqrt(2);function b(t,e,r){var n=(e-t)/Math.max(0,r),i=Math.floor(Math.log(n)/Math.LN10),a=n/Math.pow(10,i);return i>=0?(a>=v?10:a>=y?5:a>=x?2:1)*Math.pow(10,i):-Math.pow(10,-i)/(a>=v?10:a>=y?5:a>=x?2:1)}function _(t,e,r){var n=Math.abs(e-t)/Math.max(0,r),i=Math.pow(10,Math.floor(Math.log(n)/Math.LN10)),a=n/i;return a>=v?i*=10:a>=y?i*=5:a>=x&&(i*=2),e<t?-i:i}function w(t){return Math.ceil(Math.log(t.length)/Math.LN2)+1}function T(t,e,r){if(null==r&&(r=s),n=t.length){if((e=+e)<=0||n<2)return+r(t[0],0,t);if(e>=1)return+r(t[n-1],n-1,t);var n,i=(n-1)*e,a=Math.floor(i),o=+r(t[a],a,t);return o+(+r(t[a+1],a+1,t)-o)*(i-a)}}function k(t,e){var r,n,i=t.length,a=-1;if(null==e){for(;++a<i;)if(null!=(r=t[a])&&r>=r)for(n=r;++a<i;)null!=(r=t[a])&&n>r&&(n=r)}else for(;++a<i;)if(null!=(r=e(t[a],a,t))&&r>=r)for(n=r;++a<i;)null!=(r=e(t[a],a,t))&&n>r&&(n=r);return n}function A(t){if(!(i=t.length))return[];for(var e=-1,r=k(t,M),n=new Array(r);++e<r;)for(var i,a=-1,o=n[e]=new Array(i);++a<i;)o[a]=t[a][e];return n}function M(t){return t.length}t.bisect=i,t.bisectRight=i,t.bisectLeft=a,t.ascending=e,t.bisector=r,t.cross=function(t,e,r){var n,i,a,s,l=t.length,c=e.length,u=new Array(l*c);for(null==r&&(r=o),n=a=0;n<l;++n)for(s=t[n],i=0;i<c;++i,++a)u[a]=r(s,e[i]);return u},t.descending=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN},t.deviation=c,t.extent=u,t.histogram=function(){var t=m,e=u,r=w;function n(n){var a,o,s=n.length,l=new Array(s);for(a=0;a<s;++a)l[a]=t(n[a],a,n);var c=e(l),u=c[0],f=c[1],h=r(l,u,f);Array.isArray(h)||(h=_(u,f,h),h=g(Math.ceil(u/h)*h,f,h));for(var p=h.length;h[0]<=u;)h.shift(),--p;for(;h[p-1]>f;)h.pop(),--p;var d,m=new Array(p+1);for(a=0;a<=p;++a)(d=m[a]=[]).x0=a>0?h[a-1]:u,d.x1=a<p?h[a]:f;for(a=0;a<s;++a)u<=(o=l[a])&&o<=f&&m[i(h,o,0,p)].push(n[a]);return m}return n.value=function(e){return arguments.length?(t="function"==typeof e?e:d(e),n):t},n.domain=function(t){return arguments.length?(e="function"==typeof t?t:d([t[0],t[1]]),n):e},n.thresholds=function(t){return arguments.length?(r="function"==typeof t?t:Array.isArray(t)?d(h.call(t)):d(t),n):r},n},t.thresholdFreedmanDiaconis=function(t,r,n){return t=p.call(t,s).sort(e),Math.ceil((n-r)/(2*(T(t,.75)-T(t,.25))*Math.pow(t.length,-1/3)))},t.thresholdScott=function(t,e,r){return Math.ceil((r-e)/(3.5*c(t)*Math.pow(t.length,-1/3)))},t.thresholdSturges=w,t.max=function(t,e){var r,n,i=t.length,a=-1;if(null==e){for(;++a<i;)if(null!=(r=t[a])&&r>=r)for(n=r;++a<i;)null!=(r=t[a])&&r>n&&(n=r)}else for(;++a<i;)if(null!=(r=e(t[a],a,t))&&r>=r)for(n=r;++a<i;)null!=(r=e(t[a],a,t))&&r>n&&(n=r);return n},t.mean=function(t,e){var r,n=t.length,i=n,a=-1,o=0;if(null==e)for(;++a<n;)isNaN(r=s(t[a]))?--i:o+=r;else for(;++a<n;)isNaN(r=s(e(t[a],a,t)))?--i:o+=r;if(i)return o/i},t.median=function(t,r){var n,i=t.length,a=-1,o=[];if(null==r)for(;++a<i;)isNaN(n=s(t[a]))||o.push(n);else for(;++a<i;)isNaN(n=s(r(t[a],a,t)))||o.push(n);return T(o.sort(e),.5)},t.merge=function(t){for(var e,r,n,i=t.length,a=-1,o=0;++a<i;)o+=t[a].length;for(r=new Array(o);--i>=0;)for(e=(n=t[i]).length;--e>=0;)r[--o]=n[e];return r},t.min=k,t.pairs=function(t,e){null==e&&(e=o);for(var r=0,n=t.length-1,i=t[0],a=new Array(n<0?0:n);r<n;)a[r]=e(i,i=t[++r]);return a},t.permute=function(t,e){for(var r=e.length,n=new Array(r);r--;)n[r]=t[e[r]];return n},t.quantile=T,t.range=g,t.scan=function(t,r){if(n=t.length){var n,i,a=0,o=0,s=t[o];for(null==r&&(r=e);++a<n;)(r(i=t[a],s)<0||0!==r(s,s))&&(s=i,o=a);return 0===r(s,s)?o:void 0}},t.shuffle=function(t,e,r){for(var n,i,a=(null==r?t.length:r)-(e=null==e?0:+e);a;)i=Math.random()*a--|0,n=t[a+e],t[a+e]=t[i+e],t[i+e]=n;return t},t.sum=function(t,e){var r,n=t.length,i=-1,a=0;if(null==e)for(;++i<n;)(r=+t[i])&&(a+=r);else for(;++i<n;)(r=+e(t[i],i,t))&&(a+=r);return a},t.ticks=function(t,e,r){var n,i,a,o,s=-1;if(r=+r,(t=+t)===(e=+e)&&r>0)return[t];if((n=e<t)&&(i=t,t=e,e=i),0===(o=b(t,e,r))||!isFinite(o))return[];if(o>0)for(t=Math.ceil(t/o),e=Math.floor(e/o),a=new Array(i=Math.ceil(e-t+1));++s<i;)a[s]=(t+s)*o;else for(t=Math.floor(t*o),e=Math.ceil(e*o),a=new Array(i=Math.ceil(t-e+1));++s<i;)a[s]=(t-s)/o;return n&&a.reverse(),a},t.tickIncrement=b,t.tickStep=_,t.transpose=A,t.variance=l,t.zip=function(){return A(arguments)},Object.defineProperty(t,"__esModule",{value:!0})}))},{}],103:[function(t,e,r){!function(t,n){n("object"==typeof r&&void 0!==e?r:t.d3=t.d3||{})}(this,(function(t){"use strict";function e(){}function r(t,r){var n=new e;if(t instanceof e)t.each((function(t,e){n.set(e,t)}));else if(Array.isArray(t)){var i,a=-1,o=t.length;if(null==r)for(;++a<o;)n.set(a,t[a]);else for(;++a<o;)n.set(r(i=t[a],a,t),i)}else if(t)for(var s in t)n.set(s,t[s]);return n}function n(){return{}}function i(t,e,r){t[e]=r}function a(){return r()}function o(t,e,r){t.set(e,r)}function s(){}e.prototype=r.prototype={constructor:e,has:function(t){return"$"+t in this},get:function(t){return this["$"+t]},set:function(t,e){return this["$"+t]=e,this},remove:function(t){var e="$"+t;return e in this&&delete this[e]},clear:function(){for(var t in this)"$"===t[0]&&delete this[t]},keys:function(){var t=[];for(var e in this)"$"===e[0]&&t.push(e.slice(1));return t},values:function(){var t=[];for(var e in this)"$"===e[0]&&t.push(this[e]);return t},entries:function(){var t=[];for(var e in this)"$"===e[0]&&t.push({key:e.slice(1),value:this[e]});return t},size:function(){var t=0;for(var e in this)"$"===e[0]&&++t;return t},empty:function(){for(var t in this)if("$"===t[0])return!1;return!0},each:function(t){for(var e in this)"$"===e[0]&&t(this[e],e.slice(1),this)}};var l=r.prototype;function c(t,e){var r=new s;if(t instanceof s)t.each((function(t){r.add(t)}));else if(t){var n=-1,i=t.length;if(null==e)for(;++n<i;)r.add(t[n]);else for(;++n<i;)r.add(e(t[n],n,t))}return r}s.prototype=c.prototype={constructor:s,has:l.has,add:function(t){return this["$"+(t+="")]=t,this},remove:l.remove,clear:l.clear,values:l.keys,size:l.size,empty:l.empty,each:l.each},t.nest=function(){var t,e,s,l=[],c=[];function u(n,i,a,o){if(i>=l.length)return null!=t&&n.sort(t),null!=e?e(n):n;for(var s,c,f,h=-1,p=n.length,d=l[i++],m=r(),g=a();++h<p;)(f=m.get(s=d(c=n[h])+""))?f.push(c):m.set(s,[c]);return m.each((function(t,e){o(g,e,u(t,i,a,o))})),g}return s={object:function(t){return u(t,0,n,i)},map:function(t){return u(t,0,a,o)},entries:function(t){return function t(r,n){if(++n>l.length)return r;var i,a=c[n-1];return null!=e&&n>=l.length?i=r.entries():(i=[],r.each((function(e,r){i.push({key:r,values:t(e,n)})}))),null!=a?i.sort((function(t,e){return a(t.key,e.key)})):i}(u(t,0,a,o),0)},key:function(t){return l.push(t),s},sortKeys:function(t){return c[l.length-1]=t,s},sortValues:function(e){return t=e,s},rollup:function(t){return e=t,s}}},t.set=c,t.map=r,t.keys=function(t){var e=[];for(var r in t)e.push(r);return e},t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.entries=function(t){var e=[];for(var r in t)e.push({key:r,value:t[r]});return e},Object.defineProperty(t,"__esModule",{value:!0})}))},{}],104:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e,r){t.prototype=e.prototype=r,r.constructor=t}function r(t,e){var r=Object.create(t.prototype);for(var n in e)r[n]=e[n];return r}function n(){}var i="\\s*([+-]?\\d+)\\s*",a="\\s*([+-]?\\d*\\.?\\d+(?:[eE][+-]?\\d+)?)\\s*",o="\\s*([+-]?\\d*\\.?\\d+(?:[eE][+-]?\\d+)?)%\\s*",s=/^#([0-9a-f]{3,8})$/,l=new RegExp("^rgb\\("+[i,i,i]+"\\)$"),c=new RegExp("^rgb\\("+[o,o,o]+"\\)$"),u=new RegExp("^rgba\\("+[i,i,i,a]+"\\)$"),f=new RegExp("^rgba\\("+[o,o,o,a]+"\\)$"),h=new RegExp("^hsl\\("+[a,o,o]+"\\)$"),p=new RegExp("^hsla\\("+[a,o,o,a]+"\\)$"),d={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074};function m(){return this.rgb().formatHex()}function g(){return this.rgb().formatRgb()}function v(t){var e,r;return t=(t+"").trim().toLowerCase(),(e=s.exec(t))?(r=e[1].length,e=parseInt(e[1],16),6===r?y(e):3===r?new w(e>>8&15|e>>4&240,e>>4&15|240&e,(15&e)<<4|15&e,1):8===r?x(e>>24&255,e>>16&255,e>>8&255,(255&e)/255):4===r?x(e>>12&15|e>>8&240,e>>8&15|e>>4&240,e>>4&15|240&e,((15&e)<<4|15&e)/255):null):(e=l.exec(t))?new w(e[1],e[2],e[3],1):(e=c.exec(t))?new w(255*e[1]/100,255*e[2]/100,255*e[3]/100,1):(e=u.exec(t))?x(e[1],e[2],e[3],e[4]):(e=f.exec(t))?x(255*e[1]/100,255*e[2]/100,255*e[3]/100,e[4]):(e=h.exec(t))?M(e[1],e[2]/100,e[3]/100,1):(e=p.exec(t))?M(e[1],e[2]/100,e[3]/100,e[4]):d.hasOwnProperty(t)?y(d[t]):"transparent"===t?new w(NaN,NaN,NaN,0):null}function y(t){return new w(t>>16&255,t>>8&255,255&t,1)}function x(t,e,r,n){return n<=0&&(t=e=r=NaN),new w(t,e,r,n)}function b(t){return t instanceof n||(t=v(t)),t?new w((t=t.rgb()).r,t.g,t.b,t.opacity):new w}function _(t,e,r,n){return 1===arguments.length?b(t):new w(t,e,r,null==n?1:n)}function w(t,e,r,n){this.r=+t,this.g=+e,this.b=+r,this.opacity=+n}function T(){return"#"+A(this.r)+A(this.g)+A(this.b)}function k(){var t=this.opacity;return(1===(t=isNaN(t)?1:Math.max(0,Math.min(1,t)))?"rgb(":"rgba(")+Math.max(0,Math.min(255,Math.round(this.r)||0))+", "+Math.max(0,Math.min(255,Math.round(this.g)||0))+", "+Math.max(0,Math.min(255,Math.round(this.b)||0))+(1===t?")":", "+t+")")}function A(t){return((t=Math.max(0,Math.min(255,Math.round(t)||0)))<16?"0":"")+t.toString(16)}function M(t,e,r,n){return n<=0?t=e=r=NaN:r<=0||r>=1?t=e=NaN:e<=0&&(t=NaN),new L(t,e,r,n)}function S(t){if(t instanceof L)return new L(t.h,t.s,t.l,t.opacity);if(t instanceof n||(t=v(t)),!t)return new L;if(t instanceof L)return t;var e=(t=t.rgb()).r/255,r=t.g/255,i=t.b/255,a=Math.min(e,r,i),o=Math.max(e,r,i),s=NaN,l=o-a,c=(o+a)/2;return l?(s=e===o?(r-i)/l+6*(r<i):r===o?(i-e)/l+2:(e-r)/l+4,l/=c<.5?o+a:2-o-a,s*=60):l=c>0&&c<1?0:s,new L(s,l,c,t.opacity)}function E(t,e,r,n){return 1===arguments.length?S(t):new L(t,e,r,null==n?1:n)}function L(t,e,r,n){this.h=+t,this.s=+e,this.l=+r,this.opacity=+n}function C(t,e,r){return 255*(t<60?e+(r-e)*t/60:t<180?r:t<240?e+(r-e)*(240-t)/60:e)}e(n,v,{copy:function(t){return Object.assign(new this.constructor,this,t)},displayable:function(){return this.rgb().displayable()},hex:m,formatHex:m,formatHsl:function(){return S(this).formatHsl()},formatRgb:g,toString:g}),e(w,_,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new w(this.r*t,this.g*t,this.b*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new w(this.r*t,this.g*t,this.b*t,this.opacity)},rgb:function(){return this},displayable:function(){return-.5<=this.r&&this.r<255.5&&-.5<=this.g&&this.g<255.5&&-.5<=this.b&&this.b<255.5&&0<=this.opacity&&this.opacity<=1},hex:T,formatHex:T,formatRgb:k,toString:k})),e(L,E,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new L(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new L(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=this.h%360+360*(this.h<0),e=isNaN(t)||isNaN(this.s)?0:this.s,r=this.l,n=r+(r<.5?r:1-r)*e,i=2*r-n;return new w(C(t>=240?t-240:t+120,i,n),C(t,i,n),C(t<120?t+240:t-120,i,n),this.opacity)},displayable:function(){return(0<=this.s&&this.s<=1||isNaN(this.s))&&0<=this.l&&this.l<=1&&0<=this.opacity&&this.opacity<=1},formatHsl:function(){var t=this.opacity;return(1===(t=isNaN(t)?1:Math.max(0,Math.min(1,t)))?"hsl(":"hsla(")+(this.h||0)+", "+100*(this.s||0)+"%, "+100*(this.l||0)+"%"+(1===t?")":", "+t+")")}}));var P=Math.PI/180,I=180/Math.PI,O=6/29,z=3*O*O;function D(t){if(t instanceof F)return new F(t.l,t.a,t.b,t.opacity);if(t instanceof q)return G(t);t instanceof w||(t=b(t));var e,r,n=U(t.r),i=U(t.g),a=U(t.b),o=B((.2225045*n+.7168786*i+.0606169*a)/1);return n===i&&i===a?e=r=o:(e=B((.4360747*n+.3850649*i+.1430804*a)/.96422),r=B((.0139322*n+.0971045*i+.7141733*a)/.82521)),new F(116*o-16,500*(e-o),200*(o-r),t.opacity)}function R(t,e,r,n){return 1===arguments.length?D(t):new F(t,e,r,null==n?1:n)}function F(t,e,r,n){this.l=+t,this.a=+e,this.b=+r,this.opacity=+n}function B(t){return t>.008856451679035631?Math.pow(t,1/3):t/z+4/29}function N(t){return t>O?t*t*t:z*(t-4/29)}function j(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function U(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function V(t){if(t instanceof q)return new q(t.h,t.c,t.l,t.opacity);if(t instanceof F||(t=D(t)),0===t.a&&0===t.b)return new q(NaN,0<t.l&&t.l<100?0:NaN,t.l,t.opacity);var e=Math.atan2(t.b,t.a)*I;return new q(e<0?e+360:e,Math.sqrt(t.a*t.a+t.b*t.b),t.l,t.opacity)}function H(t,e,r,n){return 1===arguments.length?V(t):new q(t,e,r,null==n?1:n)}function q(t,e,r,n){this.h=+t,this.c=+e,this.l=+r,this.opacity=+n}function G(t){if(isNaN(t.h))return new F(t.l,0,0,t.opacity);var e=t.h*P;return new F(t.l,Math.cos(e)*t.c,Math.sin(e)*t.c,t.opacity)}e(F,R,r(n,{brighter:function(t){return new F(this.l+18*(null==t?1:t),this.a,this.b,this.opacity)},darker:function(t){return new F(this.l-18*(null==t?1:t),this.a,this.b,this.opacity)},rgb:function(){var t=(this.l+16)/116,e=isNaN(this.a)?t:t+this.a/500,r=isNaN(this.b)?t:t-this.b/200;return new w(j(3.1338561*(e=.96422*N(e))-1.6168667*(t=1*N(t))-.4906146*(r=.82521*N(r))),j(-.9787684*e+1.9161415*t+.033454*r),j(.0719453*e-.2289914*t+1.4052427*r),this.opacity)}})),e(q,H,r(n,{brighter:function(t){return new q(this.h,this.c,this.l+18*(null==t?1:t),this.opacity)},darker:function(t){return new q(this.h,this.c,this.l-18*(null==t?1:t),this.opacity)},rgb:function(){return G(this).rgb()}}));var Y=-.14861,W=1.78277,X=-.29227,Z=-.90649,J=1.97294,K=J*Z,Q=J*W,$=W*X-Z*Y;function tt(t){if(t instanceof rt)return new rt(t.h,t.s,t.l,t.opacity);t instanceof w||(t=b(t));var e=t.r/255,r=t.g/255,n=t.b/255,i=($*n+K*e-Q*r)/($+K-Q),a=n-i,o=(J*(r-i)-X*a)/Z,s=Math.sqrt(o*o+a*a)/(J*i*(1-i)),l=s?Math.atan2(o,a)*I-120:NaN;return new rt(l<0?l+360:l,s,i,t.opacity)}function et(t,e,r,n){return 1===arguments.length?tt(t):new rt(t,e,r,null==n?1:n)}function rt(t,e,r,n){this.h=+t,this.s=+e,this.l=+r,this.opacity=+n}e(rt,et,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new rt(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new rt(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=isNaN(this.h)?0:(this.h+120)*P,e=+this.l,r=isNaN(this.s)?0:this.s*e*(1-e),n=Math.cos(t),i=Math.sin(t);return new w(255*(e+r*(Y*n+W*i)),255*(e+r*(X*n+Z*i)),255*(e+r*(J*n)),this.opacity)}})),t.color=v,t.cubehelix=et,t.gray=function(t,e){return new F(t,0,0,null==e?1:e)},t.hcl=H,t.hsl=E,t.lab=R,t.lch=function(t,e,r,n){return 1===arguments.length?V(t):new q(r,e,t,null==n?1:n)},t.rgb=_,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],105:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e={value:function(){}};function r(){for(var t,e=0,r=arguments.length,i={};e<r;++e){if(!(t=arguments[e]+"")||t in i||/[\s.]/.test(t))throw new Error("illegal type: "+t);i[t]=[]}return new n(i)}function n(t){this._=t}function i(t,e){return t.trim().split(/^|\s+/).map((function(t){var r="",n=t.indexOf(".");if(n>=0&&(r=t.slice(n+1),t=t.slice(0,n)),t&&!e.hasOwnProperty(t))throw new Error("unknown type: "+t);return{type:t,name:r}}))}function a(t,e){for(var r,n=0,i=t.length;n<i;++n)if((r=t[n]).name===e)return r.value}function o(t,r,n){for(var i=0,a=t.length;i<a;++i)if(t[i].name===r){t[i]=e,t=t.slice(0,i).concat(t.slice(i+1));break}return null!=n&&t.push({name:r,value:n}),t}n.prototype=r.prototype={constructor:n,on:function(t,e){var r,n=this._,s=i(t+"",n),l=-1,c=s.length;if(!(arguments.length<2)){if(null!=e&&"function"!=typeof e)throw new Error("invalid callback: "+e);for(;++l<c;)if(r=(t=s[l]).type)n[r]=o(n[r],t.name,e);else if(null==e)for(r in n)n[r]=o(n[r],t.name,null);return this}for(;++l<c;)if((r=(t=s[l]).type)&&(r=a(n[r],t.name)))return r},copy:function(){var t={},e=this._;for(var r in e)t[r]=e[r].slice();return new n(t)},call:function(t,e){if((r=arguments.length-2)>0)for(var r,n,i=new Array(r),a=0;a<r;++a)i[a]=arguments[a+2];if(!this._.hasOwnProperty(t))throw new Error("unknown type: "+t);for(a=0,r=(n=this._[t]).length;a<r;++a)n[a].value.apply(e,i)},apply:function(t,e,r){if(!this._.hasOwnProperty(t))throw new Error("unknown type: "+t);for(var n=this._[t],i=0,a=n.length;i<a;++i)n[i].value.apply(e,r)}},t.dispatch=r,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],106:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-quadtree"),t("d3-collection"),t("d3-dispatch"),t("d3-timer")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3,n.d3)}(this,(function(t,e,r,n,i){"use strict";function a(t){return function(){return t}}function o(){return 1e-6*(Math.random()-.5)}function s(t){return t.x+t.vx}function l(t){return t.y+t.vy}function c(t){return t.index}function u(t,e){var r=t.get(e);if(!r)throw new Error("missing: "+e);return r}function f(t){return t.x}function h(t){return t.y}var p=Math.PI*(3-Math.sqrt(5));t.forceCenter=function(t,e){var r;function n(){var n,i,a=r.length,o=0,s=0;for(n=0;n<a;++n)o+=(i=r[n]).x,s+=i.y;for(o=o/a-t,s=s/a-e,n=0;n<a;++n)(i=r[n]).x-=o,i.y-=s}return null==t&&(t=0),null==e&&(e=0),n.initialize=function(t){r=t},n.x=function(e){return arguments.length?(t=+e,n):t},n.y=function(t){return arguments.length?(e=+t,n):e},n},t.forceCollide=function(t){var r,n,i=1,c=1;function u(){for(var t,a,u,h,p,d,m,g=r.length,v=0;v<c;++v)for(a=e.quadtree(r,s,l).visitAfter(f),t=0;t<g;++t)u=r[t],d=n[u.index],m=d*d,h=u.x+u.vx,p=u.y+u.vy,a.visit(y);function y(t,e,r,n,a){var s=t.data,l=t.r,c=d+l;if(!s)return e>h+c||n<h-c||r>p+c||a<p-c;if(s.index>u.index){var f=h-s.x-s.vx,g=p-s.y-s.vy,v=f*f+g*g;v<c*c&&(0===f&&(v+=(f=o())*f),0===g&&(v+=(g=o())*g),v=(c-(v=Math.sqrt(v)))/v*i,u.vx+=(f*=v)*(c=(l*=l)/(m+l)),u.vy+=(g*=v)*c,s.vx-=f*(c=1-c),s.vy-=g*c)}}}function f(t){if(t.data)return t.r=n[t.data.index];for(var e=t.r=0;e<4;++e)t[e]&&t[e].r>t.r&&(t.r=t[e].r)}function h(){if(r){var e,i,a=r.length;for(n=new Array(a),e=0;e<a;++e)i=r[e],n[i.index]=+t(i,e,r)}}return"function"!=typeof t&&(t=a(null==t?1:+t)),u.initialize=function(t){r=t,h()},u.iterations=function(t){return arguments.length?(c=+t,u):c},u.strength=function(t){return arguments.length?(i=+t,u):i},u.radius=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),h(),u):t},u},t.forceLink=function(t){var e,n,i,s,l,f=c,h=function(t){return 1/Math.min(s[t.source.index],s[t.target.index])},p=a(30),d=1;function m(r){for(var i=0,a=t.length;i<d;++i)for(var s,c,u,f,h,p,m,g=0;g<a;++g)c=(s=t[g]).source,f=(u=s.target).x+u.vx-c.x-c.vx||o(),h=u.y+u.vy-c.y-c.vy||o(),f*=p=((p=Math.sqrt(f*f+h*h))-n[g])/p*r*e[g],h*=p,u.vx-=f*(m=l[g]),u.vy-=h*m,c.vx+=f*(m=1-m),c.vy+=h*m}function g(){if(i){var a,o,c=i.length,h=t.length,p=r.map(i,f);for(a=0,s=new Array(c);a<h;++a)(o=t[a]).index=a,"object"!=typeof o.source&&(o.source=u(p,o.source)),"object"!=typeof o.target&&(o.target=u(p,o.target)),s[o.source.index]=(s[o.source.index]||0)+1,s[o.target.index]=(s[o.target.index]||0)+1;for(a=0,l=new Array(h);a<h;++a)o=t[a],l[a]=s[o.source.index]/(s[o.source.index]+s[o.target.index]);e=new Array(h),v(),n=new Array(h),y()}}function v(){if(i)for(var r=0,n=t.length;r<n;++r)e[r]=+h(t[r],r,t)}function y(){if(i)for(var e=0,r=t.length;e<r;++e)n[e]=+p(t[e],e,t)}return null==t&&(t=[]),m.initialize=function(t){i=t,g()},m.links=function(e){return arguments.length?(t=e,g(),m):t},m.id=function(t){return arguments.length?(f=t,m):f},m.iterations=function(t){return arguments.length?(d=+t,m):d},m.strength=function(t){return arguments.length?(h="function"==typeof t?t:a(+t),v(),m):h},m.distance=function(t){return arguments.length?(p="function"==typeof t?t:a(+t),y(),m):p},m},t.forceManyBody=function(){var t,r,n,i,s=a(-30),l=1,c=1/0,u=.81;function p(i){var a,o=t.length,s=e.quadtree(t,f,h).visitAfter(m);for(n=i,a=0;a<o;++a)r=t[a],s.visit(g)}function d(){if(t){var e,r,n=t.length;for(i=new Array(n),e=0;e<n;++e)r=t[e],i[r.index]=+s(r,e,t)}}function m(t){var e,r,n,a,o,s=0,l=0;if(t.length){for(n=a=o=0;o<4;++o)(e=t[o])&&(r=Math.abs(e.value))&&(s+=e.value,l+=r,n+=r*e.x,a+=r*e.y);t.x=n/l,t.y=a/l}else{(e=t).x=e.data.x,e.y=e.data.y;do{s+=i[e.data.index]}while(e=e.next)}t.value=s}function g(t,e,a,s){if(!t.value)return!0;var f=t.x-r.x,h=t.y-r.y,p=s-e,d=f*f+h*h;if(p*p/u<d)return d<c&&(0===f&&(d+=(f=o())*f),0===h&&(d+=(h=o())*h),d<l&&(d=Math.sqrt(l*d)),r.vx+=f*t.value*n/d,r.vy+=h*t.value*n/d),!0;if(!(t.length||d>=c)){(t.data!==r||t.next)&&(0===f&&(d+=(f=o())*f),0===h&&(d+=(h=o())*h),d<l&&(d=Math.sqrt(l*d)));do{t.data!==r&&(p=i[t.data.index]*n/d,r.vx+=f*p,r.vy+=h*p)}while(t=t.next)}}return p.initialize=function(e){t=e,d()},p.strength=function(t){return arguments.length?(s="function"==typeof t?t:a(+t),d(),p):s},p.distanceMin=function(t){return arguments.length?(l=t*t,p):Math.sqrt(l)},p.distanceMax=function(t){return arguments.length?(c=t*t,p):Math.sqrt(c)},p.theta=function(t){return arguments.length?(u=t*t,p):Math.sqrt(u)},p},t.forceRadial=function(t,e,r){var n,i,o,s=a(.1);function l(t){for(var a=0,s=n.length;a<s;++a){var l=n[a],c=l.x-e||1e-6,u=l.y-r||1e-6,f=Math.sqrt(c*c+u*u),h=(o[a]-f)*i[a]*t/f;l.vx+=c*h,l.vy+=u*h}}function c(){if(n){var e,r=n.length;for(i=new Array(r),o=new Array(r),e=0;e<r;++e)o[e]=+t(n[e],e,n),i[e]=isNaN(o[e])?0:+s(n[e],e,n)}}return"function"!=typeof t&&(t=a(+t)),null==e&&(e=0),null==r&&(r=0),l.initialize=function(t){n=t,c()},l.strength=function(t){return arguments.length?(s="function"==typeof t?t:a(+t),c(),l):s},l.radius=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),c(),l):t},l.x=function(t){return arguments.length?(e=+t,l):e},l.y=function(t){return arguments.length?(r=+t,l):r},l},t.forceSimulation=function(t){var e,a=1,o=.001,s=1-Math.pow(o,1/300),l=0,c=.6,u=r.map(),f=i.timer(d),h=n.dispatch("tick","end");function d(){m(),h.call("tick",e),a<o&&(f.stop(),h.call("end",e))}function m(r){var n,i,o=t.length;void 0===r&&(r=1);for(var f=0;f<r;++f)for(a+=(l-a)*s,u.each((function(t){t(a)})),n=0;n<o;++n)null==(i=t[n]).fx?i.x+=i.vx*=c:(i.x=i.fx,i.vx=0),null==i.fy?i.y+=i.vy*=c:(i.y=i.fy,i.vy=0);return e}function g(){for(var e,r=0,n=t.length;r<n;++r){if((e=t[r]).index=r,null!=e.fx&&(e.x=e.fx),null!=e.fy&&(e.y=e.fy),isNaN(e.x)||isNaN(e.y)){var i=10*Math.sqrt(r),a=r*p;e.x=i*Math.cos(a),e.y=i*Math.sin(a)}(isNaN(e.vx)||isNaN(e.vy))&&(e.vx=e.vy=0)}}function v(e){return e.initialize&&e.initialize(t),e}return null==t&&(t=[]),g(),e={tick:m,restart:function(){return f.restart(d),e},stop:function(){return f.stop(),e},nodes:function(r){return arguments.length?(t=r,g(),u.each(v),e):t},alpha:function(t){return arguments.length?(a=+t,e):a},alphaMin:function(t){return arguments.length?(o=+t,e):o},alphaDecay:function(t){return arguments.length?(s=+t,e):+s},alphaTarget:function(t){return arguments.length?(l=+t,e):l},velocityDecay:function(t){return arguments.length?(c=1-t,e):1-c},force:function(t,r){return arguments.length>1?(null==r?u.remove(t):u.set(t,v(r)),e):u.get(t)},find:function(e,r,n){var i,a,o,s,l,c=0,u=t.length;for(null==n?n=1/0:n*=n,c=0;c<u;++c)(o=(i=e-(s=t[c]).x)*i+(a=r-s.y)*a)<n&&(l=s,n=o);return l},on:function(t,r){return arguments.length>1?(h.on(t,r),e):h.on(t)}}},t.forceX=function(t){var e,r,n,i=a(.1);function o(t){for(var i,a=0,o=e.length;a<o;++a)(i=e[a]).vx+=(n[a]-i.x)*r[a]*t}function s(){if(e){var a,o=e.length;for(r=new Array(o),n=new Array(o),a=0;a<o;++a)r[a]=isNaN(n[a]=+t(e[a],a,e))?0:+i(e[a],a,e)}}return"function"!=typeof t&&(t=a(null==t?0:+t)),o.initialize=function(t){e=t,s()},o.strength=function(t){return arguments.length?(i="function"==typeof t?t:a(+t),s(),o):i},o.x=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),s(),o):t},o},t.forceY=function(t){var e,r,n,i=a(.1);function o(t){for(var i,a=0,o=e.length;a<o;++a)(i=e[a]).vy+=(n[a]-i.y)*r[a]*t}function s(){if(e){var a,o=e.length;for(r=new Array(o),n=new Array(o),a=0;a<o;++a)r[a]=isNaN(n[a]=+t(e[a],a,e))?0:+i(e[a],a,e)}}return"function"!=typeof t&&(t=a(null==t?0:+t)),o.initialize=function(t){e=t,s()},o.strength=function(t){return arguments.length?(i="function"==typeof t?t:a(+t),s(),o):i},o.y=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),s(),o):t},o},Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-collection":103,"d3-dispatch":105,"d3-quadtree":113,"d3-timer":117}],107:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t="undefined"!=typeof globalThis?globalThis:t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e){if((r=(t=e?t.toExponential(e-1):t.toExponential()).indexOf("e"))<0)return null;var r,n=t.slice(0,r);return[n.length>1?n[0]+n.slice(2):n,+t.slice(r+1)]}function r(t){return(t=e(Math.abs(t)))?t[1]:NaN}var n,i=/^(?:(.)?([<>=^]))?([+\-( ])?([$#])?(0)?(\d+)?(,)?(\.\d+)?(~)?([a-z%])?$/i;function a(t){if(!(e=i.exec(t)))throw new Error("invalid format: "+t);var e;return new o({fill:e[1],align:e[2],sign:e[3],symbol:e[4],zero:e[5],width:e[6],comma:e[7],precision:e[8]&&e[8].slice(1),trim:e[9],type:e[10]})}function o(t){this.fill=void 0===t.fill?" ":t.fill+"",this.align=void 0===t.align?">":t.align+"",this.sign=void 0===t.sign?"-":t.sign+"",this.symbol=void 0===t.symbol?"":t.symbol+"",this.zero=!!t.zero,this.width=void 0===t.width?void 0:+t.width,this.comma=!!t.comma,this.precision=void 0===t.precision?void 0:+t.precision,this.trim=!!t.trim,this.type=void 0===t.type?"":t.type+""}function s(t,r){var n=e(t,r);if(!n)return t+"";var i=n[0],a=n[1];return a<0?"0."+new Array(-a).join("0")+i:i.length>a+1?i.slice(0,a+1)+"."+i.slice(a+1):i+new Array(a-i.length+2).join("0")}a.prototype=o.prototype,o.prototype.toString=function(){return this.fill+this.align+this.sign+this.symbol+(this.zero?"0":"")+(void 0===this.width?"":Math.max(1,0|this.width))+(this.comma?",":"")+(void 0===this.precision?"":"."+Math.max(0,0|this.precision))+(this.trim?"~":"")+this.type};var l={"%":function(t,e){return(100*t).toFixed(e)},b:function(t){return Math.round(t).toString(2)},c:function(t){return t+""},d:function(t){return Math.abs(t=Math.round(t))>=1e21?t.toLocaleString("en").replace(/,/g,""):t.toString(10)},e:function(t,e){return t.toExponential(e)},f:function(t,e){return t.toFixed(e)},g:function(t,e){return t.toPrecision(e)},o:function(t){return Math.round(t).toString(8)},p:function(t,e){return s(100*t,e)},r:s,s:function(t,r){var i=e(t,r);if(!i)return t+"";var a=i[0],o=i[1],s=o-(n=3*Math.max(-8,Math.min(8,Math.floor(o/3))))+1,l=a.length;return s===l?a:s>l?a+new Array(s-l+1).join("0"):s>0?a.slice(0,s)+"."+a.slice(s):"0."+new Array(1-s).join("0")+e(t,Math.max(0,r+s-1))[0]},X:function(t){return Math.round(t).toString(16).toUpperCase()},x:function(t){return Math.round(t).toString(16)}};function c(t){return t}var u,f=Array.prototype.map,h=["y","z","a","f","p","n","\xb5","m","","k","M","G","T","P","E","Z","Y"];function p(t){var e,i,o=void 0===t.grouping||void 0===t.thousands?c:(e=f.call(t.grouping,Number),i=t.thousands+"",function(t,r){for(var n=t.length,a=[],o=0,s=e[0],l=0;n>0&&s>0&&(l+s+1>r&&(s=Math.max(1,r-l)),a.push(t.substring(n-=s,n+s)),!((l+=s+1)>r));)s=e[o=(o+1)%e.length];return a.reverse().join(i)}),s=void 0===t.currency?"":t.currency[0]+"",u=void 0===t.currency?"":t.currency[1]+"",p=void 0===t.decimal?".":t.decimal+"",d=void 0===t.numerals?c:function(t){return function(e){return e.replace(/[0-9]/g,(function(e){return t[+e]}))}}(f.call(t.numerals,String)),m=void 0===t.percent?"%":t.percent+"",g=void 0===t.minus?"-":t.minus+"",v=void 0===t.nan?"NaN":t.nan+"";function y(t){var e=(t=a(t)).fill,r=t.align,i=t.sign,c=t.symbol,f=t.zero,y=t.width,x=t.comma,b=t.precision,_=t.trim,w=t.type;"n"===w?(x=!0,w="g"):l[w]||(void 0===b&&(b=12),_=!0,w="g"),(f||"0"===e&&"="===r)&&(f=!0,e="0",r="=");var T="$"===c?s:"#"===c&&/[boxX]/.test(w)?"0"+w.toLowerCase():"",k="$"===c?u:/[%p]/.test(w)?m:"",A=l[w],M=/[defgprs%]/.test(w);function S(t){var a,s,l,c=T,u=k;if("c"===w)u=A(t)+u,t="";else{var m=(t=+t)<0||1/t<0;if(t=isNaN(t)?v:A(Math.abs(t),b),_&&(t=function(t){t:for(var e,r=t.length,n=1,i=-1;n<r;++n)switch(t[n]){case".":i=e=n;break;case"0":0===i&&(i=n),e=n;break;default:if(!+t[n])break t;i>0&&(i=0)}return i>0?t.slice(0,i)+t.slice(e+1):t}(t)),m&&0==+t&&"+"!==i&&(m=!1),c=(m?"("===i?i:g:"-"===i||"("===i?"":i)+c,u=("s"===w?h[8+n/3]:"")+u+(m&&"("===i?")":""),M)for(a=-1,s=t.length;++a<s;)if(48>(l=t.charCodeAt(a))||l>57){u=(46===l?p+t.slice(a+1):t.slice(a))+u,t=t.slice(0,a);break}}x&&!f&&(t=o(t,1/0));var S=c.length+t.length+u.length,E=S<y?new Array(y-S+1).join(e):"";switch(x&&f&&(t=o(E+t,E.length?y-u.length:1/0),E=""),r){case"<":t=c+t+u+E;break;case"=":t=c+E+t+u;break;case"^":t=E.slice(0,S=E.length>>1)+c+t+u+E.slice(S);break;default:t=E+c+t+u}return d(t)}return b=void 0===b?6:/[gprs]/.test(w)?Math.max(1,Math.min(21,b)):Math.max(0,Math.min(20,b)),S.toString=function(){return t+""},S}return{format:y,formatPrefix:function(t,e){var n=y(((t=a(t)).type="f",t)),i=3*Math.max(-8,Math.min(8,Math.floor(r(e)/3))),o=Math.pow(10,-i),s=h[8+i/3];return function(t){return n(o*t)+s}}}}function d(e){return u=p(e),t.format=u.format,t.formatPrefix=u.formatPrefix,u}d({decimal:".",thousands:",",grouping:[3],currency:["$",""],minus:"-"}),t.FormatSpecifier=o,t.formatDefaultLocale=d,t.formatLocale=p,t.formatSpecifier=a,t.precisionFixed=function(t){return Math.max(0,-r(Math.abs(t)))},t.precisionPrefix=function(t,e){return Math.max(0,3*Math.max(-8,Math.min(8,Math.floor(r(e)/3)))-r(Math.abs(t)))},t.precisionRound=function(t,e){return t=Math.abs(t),e=Math.abs(e)-t,Math.max(0,r(e)-r(t))+1},Object.defineProperty(t,"__esModule",{value:!0})}))},{}],108:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-geo"),t("d3-array")):i(n.d3=n.d3||{},n.d3,n.d3)}(this,(function(t,e,r){"use strict";var n=Math.abs,i=Math.atan,a=Math.atan2,o=Math.cos,s=Math.exp,l=Math.floor,c=Math.log,u=Math.max,f=Math.min,h=Math.pow,p=Math.round,d=Math.sign||function(t){return t>0?1:t<0?-1:0},m=Math.sin,g=Math.tan,v=1e-6,y=Math.PI,x=y/2,b=y/4,_=Math.SQRT1_2,w=L(2),T=L(y),k=2*y,A=180/y,M=y/180;function S(t){return t>1?x:t<-1?-x:Math.asin(t)}function E(t){return t>1?0:t<-1?y:Math.acos(t)}function L(t){return t>0?Math.sqrt(t):0}function C(t){return(s(t)-s(-t))/2}function P(t){return(s(t)+s(-t))/2}function I(t){var e=g(t/2),r=2*c(o(t/2))/(e*e);function i(t,e){var n=o(t),i=o(e),a=m(e),s=i*n,l=-((1-s?c((1+s)/2)/(1-s):-.5)+r/(1+s));return[l*i*m(t),l*a]}return i.invert=function(e,i){var s,l=L(e*e+i*i),u=-t/2,f=50;if(!l)return[0,0];do{var h=u/2,p=o(h),d=m(h),g=d/p,y=-c(n(p));u-=s=(2/g*y-r*g-l)/(-y/(d*d)+1-r/(2*p*p))*(p<0?.7:1)}while(n(s)>v&&--f>0);var x=m(u);return[a(e*x,l*o(u)),S(i*x/l)]},i}function O(t,e){var r=o(e),n=function(t){return t?t/Math.sin(t):1}(E(r*o(t/=2)));return[2*r*m(t)*n,m(e)*n]}function z(t){var e=m(t),r=o(t),i=t>=0?1:-1,s=g(i*t),l=(1+e-r)/2;function c(t,n){var c=o(n),u=o(t/=2);return[(1+c)*m(t),(i*n>-a(u,s)-.001?0:10*-i)+l+m(n)*r-(1+c)*e*u]}return c.invert=function(t,c){var u=0,f=0,h=50;do{var p=o(u),d=m(u),g=o(f),y=m(f),x=1+g,b=x*d-t,_=l+y*r-x*e*p-c,w=x*p/2,T=-d*y,k=e*x*d/2,A=r*g+e*p*y,M=T*k-A*w,S=(_*T-b*A)/M/2,E=(b*k-_*w)/M;n(E)>2&&(E/=2),u-=S,f-=E}while((n(S)>v||n(E)>v)&&--h>0);return i*f>-a(o(u),s)-.001?[2*u,f]:null},c}function D(t,e){var r=g(e/2),n=L(1-r*r),i=1+n*o(t/=2),a=m(t)*n/i,s=r/i,l=a*a,c=s*s;return[4/3*a*(3+l-3*c),4/3*s*(3+3*l-c)]}O.invert=function(t,e){if(!(t*t+4*e*e>y*y+v)){var r=t,i=e,a=25;do{var s,l=m(r),c=m(r/2),u=o(r/2),f=m(i),h=o(i),p=m(2*i),d=f*f,g=h*h,x=c*c,b=1-g*u*u,_=b?E(h*u)*L(s=1/b):s=0,w=2*_*h*c-t,T=_*f-e,k=s*(g*x+_*h*u*d),A=s*(.5*l*p-2*_*f*c),M=.25*s*(p*c-_*f*g*l),S=s*(d*u+_*x*h),C=A*M-S*k;if(!C)break;var P=(T*A-w*S)/C,I=(w*M-T*k)/C;r-=P,i-=I}while((n(P)>v||n(I)>v)&&--a>0);return[r,i]}},D.invert=function(t,e){if(e*=3/8,!(t*=3/8)&&n(e)>1)return null;var r=1+t*t+e*e,i=L((r-L(r*r-4*e*e))/2),s=S(i)/3,l=i?function(t){return c(t+L(t*t-1))}(n(e/i))/3:function(t){return c(t+L(t*t+1))}(n(t))/3,u=o(s),f=P(l),h=f*f-u*u;return[2*d(t)*a(C(l)*u,.25-h),2*d(e)*a(f*m(s),.25+h)]};var R=L(8),F=c(1+w);function B(t,e){var r=n(e);return r<b?[t,c(g(b+e/2))]:[t*o(r)*(2*w-1/m(r)),d(e)*(2*w*(r-b)-c(g(r/2)))]}function N(t){var r=2*y/t;function s(t,i){var s=e.geoAzimuthalEquidistantRaw(t,i);if(n(t)>x){var l=a(s[1],s[0]),c=L(s[0]*s[0]+s[1]*s[1]),u=r*p((l-x)/r)+x,f=a(m(l-=u),2-o(l));l=u+S(y/c*m(f))-f,s[0]=c*o(l),s[1]=c*m(l)}return s}return s.invert=function(t,n){var s=L(t*t+n*n);if(s>x){var l=a(n,t),c=r*p((l-x)/r)+x,u=l>c?-1:1,f=s*o(c-l),h=1/g(u*E((f-y)/L(y*(y-2*f)+s*s)));l=c+2*i((h+u*L(h*h-3))/3),t=s*o(l),n=s*m(l)}return e.geoAzimuthalEquidistantRaw.invert(t,n)},s}function j(t,r){if(arguments.length<2&&(r=t),1===r)return e.geoAzimuthalEqualAreaRaw;if(r===1/0)return U;function n(n,i){var a=e.geoAzimuthalEqualAreaRaw(n/r,i);return a[0]*=t,a}return n.invert=function(n,i){var a=e.geoAzimuthalEqualAreaRaw.invert(n/t,i);return a[0]*=r,a},n}function U(t,e){return[t*o(e)/o(e/=2),2*m(e)]}function V(t,e,r){var i,a,o,s=100;r=void 0===r?0:+r,e=+e;do{(a=t(r))===(o=t(r+v))&&(o=a+v),r-=i=-1*v*(a-e)/(a-o)}while(s-- >0&&n(i)>v);return s<0?NaN:r}function H(t,e,r){return void 0===e&&(e=40),void 0===r&&(r=1e-12),function(i,a,o,s){var l,c,u;o=void 0===o?0:+o,s=void 0===s?0:+s;for(var f=0;f<e;f++){var h=t(o,s),p=h[0]-i,d=h[1]-a;if(n(p)<r&&n(d)<r)break;var m=p*p+d*d;if(m>l)o-=c/=2,s-=u/=2;else{l=m;var g=(o>0?-1:1)*r,v=(s>0?-1:1)*r,y=t(o+g,s),x=t(o,s+v),b=(y[0]-h[0])/g,_=(y[1]-h[1])/g,w=(x[0]-h[0])/v,T=(x[1]-h[1])/v,k=T*b-_*w,A=(n(k)<.5?.5:1)/k;if(o+=c=(d*w-p*T)*A,s+=u=(p*_-d*b)*A,n(c)<r&&n(u)<r)break}}return[o,s]}}function q(){var t=j(1.68,2);function e(e,r){if(e+r<-1.4){var n=(e-r+1.6)*(e+r+1.4)/8;e+=n,r-=.8*n*m(r+y/2)}var i=t(e,r),a=(1-o(e*r))/12;return i[1]<0&&(i[0]*=1+a),i[1]>0&&(i[1]*=1+a/1.5*i[0]*i[0]),i}return e.invert=H(e),e}function G(t,e){var r,i=t*m(e),a=30;do{e-=r=(e+m(e)-i)/(1+o(e))}while(n(r)>v&&--a>0);return e/2}function Y(t,e,r){function n(n,i){return[t*n*o(i=G(r,i)),e*m(i)]}return n.invert=function(n,i){return i=S(i/e),[n/(t*o(i)),S((2*i+m(2*i))/r)]},n}B.invert=function(t,e){if((a=n(e))<F)return[t,2*i(s(e))-x];var r,a,l=b,u=25;do{var f=o(l/2),h=g(l/2);l-=r=(R*(l-b)-c(h)-a)/(R-f*f/(2*h))}while(n(r)>1e-12&&--u>0);return[t/(o(l)*(R-1/m(l))),d(e)*l]},U.invert=function(t,e){var r=2*S(e/2);return[t*o(r/2)/o(r),r]};var W=Y(w/x,w,y);var X=2.00276,Z=1.11072;function J(t,e){var r=G(y,e);return[X*t/(1/o(e)+Z/o(r)),(e+w*m(r))/X]}function K(t){var r=0,n=e.geoProjectionMutator(t),i=n(r);return i.parallel=function(t){return arguments.length?n(r=t*M):r*A},i}function Q(t,e){return[t*o(e),e]}function $(t){if(!t)return Q;var e=1/g(t);function r(r,n){var i=e+t-n,a=i?r*o(n)/i:i;return[i*m(a),e-i*o(a)]}return r.invert=function(r,n){var i=L(r*r+(n=e-n)*n),s=e+t-i;return[i/o(s)*a(r,n),s]},r}function tt(t){function e(e,r){var n=x-r,i=n?e*t*m(n)/n:n;return[n*m(i)/t,x-n*o(i)]}return e.invert=function(e,r){var n=e*t,i=x-r,o=L(n*n+i*i),s=a(n,i);return[(o?o/m(o):1)*s/t,x-o]},e}J.invert=function(t,e){var r,i,a=X*e,s=e<0?-b:b,l=25;do{i=a-w*m(s),s-=r=(m(2*s)+2*s-y*m(i))/(2*o(2*s)+2+y*o(i)*w*o(s))}while(n(r)>v&&--l>0);return i=a-w*m(s),[t*(1/o(i)+Z/o(s))/X,i]},Q.invert=function(t,e){return[t/o(e),e]};var et=Y(1,4/y,y);function rt(t,e,r,i,s,l){var c,u=o(l);if(n(t)>1||n(l)>1)c=E(r*s+e*i*u);else{var f=m(t/2),h=m(l/2);c=2*S(L(f*f+e*i*h*h))}return n(c)>v?[c,a(i*m(l),e*s-r*i*u)]:[0,0]}function nt(t,e,r){return E((t*t+e*e-r*r)/(2*t*e))}function it(t){return t-2*y*l((t+y)/(2*y))}function at(t,e,r){for(var n,i=[[t[0],t[1],m(t[1]),o(t[1])],[e[0],e[1],m(e[1]),o(e[1])],[r[0],r[1],m(r[1]),o(r[1])]],a=i[2],s=0;s<3;++s,a=n)n=i[s],a.v=rt(n[1]-a[1],a[3],a[2],n[3],n[2],n[0]-a[0]),a.point=[0,0];var l=nt(i[0].v[0],i[2].v[0],i[1].v[0]),c=nt(i[0].v[0],i[1].v[0],i[2].v[0]),u=y-l;i[2].point[1]=0,i[0].point[0]=-(i[1].point[0]=i[0].v[0]/2);var f=[i[2].point[0]=i[0].point[0]+i[2].v[0]*o(l),2*(i[0].point[1]=i[1].point[1]=i[2].v[0]*m(l))];return function(t,e){var r,n=m(e),a=o(e),s=new Array(3);for(r=0;r<3;++r){var l=i[r];if(s[r]=rt(e-l[1],l[3],l[2],a,n,t-l[0]),!s[r][0])return l.point;s[r][1]=it(s[r][1]-l.v[1])}var h=f.slice();for(r=0;r<3;++r){var p=2==r?0:r+1,d=nt(i[r].v[0],s[r][0],s[p][0]);s[r][1]<0&&(d=-d),r?1==r?(d=c-d,h[0]-=s[r][0]*o(d),h[1]-=s[r][0]*m(d)):(d=u-d,h[0]+=s[r][0]*o(d),h[1]+=s[r][0]*m(d)):(h[0]+=s[r][0]*o(d),h[1]-=s[r][0]*m(d))}return h[0]/=3,h[1]/=3,h}}function ot(t){return t[0]*=M,t[1]*=M,t}function st(t,r,n){var i=e.geoCentroid({type:"MultiPoint",coordinates:[t,r,n]}),a=[-i[0],-i[1]],o=e.geoRotation(a),s=at(ot(o(t)),ot(o(r)),ot(o(n)));s.invert=H(s);var l=e.geoProjection(s).rotate(a),c=l.center;return delete l.rotate,l.center=function(t){return arguments.length?c(o(t)):o.invert(c())},l.clipAngle(90)}function lt(t,e){var r=L(1-m(e));return[2/T*t*r,T*(1-r)]}function ct(t){var e=g(t);function r(t,r){return[t,(t?t/m(t):1)*(m(r)*o(t)-e*o(r))]}return r.invert=e?function(t,r){t&&(r*=m(t)/t);var n=o(t);return[t,2*a(L(n*n+e*e-r*r)-n,e-r)]}:function(t,e){return[t,S(t?e*g(t)/t:e)]},r}lt.invert=function(t,e){var r=(r=e/T-1)*r;return[r>0?t*L(y/r)/2:0,S(1-r)]};var ut=L(3);function ft(t,e){return[ut*t*(2*o(2*e/3)-1)/T,ut*T*m(e/3)]}function ht(t){var e=o(t);function r(t,r){return[t*e,m(r)/e]}return r.invert=function(t,r){return[t/e,S(r*e)]},r}function pt(t){var e=o(t);function r(t,r){return[t*e,(1+e)*g(r/2)]}return r.invert=function(t,r){return[t/e,2*i(r/(1+e))]},r}function dt(t,e){var r=L(8/(3*y));return[r*t*(1-n(e)/y),r*e]}function mt(t,e){var r=L(4-3*m(n(e)));return[2/L(6*y)*t*r,d(e)*L(2*y/3)*(2-r)]}function gt(t,e){var r=L(y*(4+y));return[2/r*t*(1+L(1-4*e*e/(y*y))),4/r*e]}function vt(t,e){var r=(2+x)*m(e);e/=2;for(var i=0,a=1/0;i<10&&n(a)>v;i++){var s=o(e);e-=a=(e+m(e)*(s+2)-r)/(2*s*(1+s))}return[2/L(y*(4+y))*t*(1+o(e)),2*L(y/(4+y))*m(e)]}function yt(t,e){return[t*(1+o(e))/L(2+y),2*e/L(2+y)]}function xt(t,e){for(var r=(1+x)*m(e),i=0,a=1/0;i<10&&n(a)>v;i++)e-=a=(e+m(e)-r)/(1+o(e));return r=L(2+y),[t*(1+o(e))/r,2*e/r]}ft.invert=function(t,e){var r=3*S(e/(ut*T));return[T*t/(ut*(2*o(2*r/3)-1)),r]},dt.invert=function(t,e){var r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),X=G*Y-W*q;if(!X)break;var Z=(z*G-O*W)/X,J=(O*Y-z*q)/X;a-=Z,s=u(-x,f(x,s-J))}while((n(Z)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=g(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*g(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=m(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(g(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(m(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),g=a(f,u),b=i*p(g/i),_=g-b,w=t*o(_),T=(t*m(_)-_*m(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*m(u),u<x&&(f-=T*(u-x));var E=m(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*m(d);for(var g=r-x,v=m(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*m(b),k=t*o(b),A=m(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*g-l)/(v-2*g*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*m(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function Ct(t,e,r){for(var n=(r-e)/50,i=t(e)+t(r),a=1,o=e;a<50;++a)i+=2*t(o+=n);return.5*i*n}function Pt(t,e,r,i,a,s,l,c){function u(n,u){if(!u)return[t*n/y,0];var f=u*u,h=t+f*(e+f*(r+f*i)),p=u*(a-1+f*(s-c+f*l)),d=(h*h+p*p)/(2*p),g=n*S(h/d)/y;return[d*m(g),u*(1+f*c)+d*(1-o(g))]}return arguments.length<8&&(c=0),u.invert=function(u,f){var h,p,d=y*u/t,g=f,x=50;do{var b=g*g,_=t+b*(e+b*(r+b*i)),w=g*(a-1+b*(s-c+b*l)),T=_*_+w*w,k=2*w,A=T/k,M=A*A,E=S(_/A)/y,C=d*E,P=_*_,I=(2*e+b*(4*r+6*b*i))*g,O=a+b*(3*s+5*b*l),z=(2*(_*I+w*(O-1))*k-T*(2*(O-1)))/(k*k),D=o(C),R=m(C),F=A*D,B=A*R,N=d/y*(1/L(1-P/M))*(I*A-_*z)/M,j=B-u,U=g*(1+b*c)+A-F-f,V=z*R+F*N,H=F*E,q=1+z-(z*D-B*N),G=B*E,Y=V*G-q*H;if(!Y)break;d-=h=(U*V-j*q)/Y,g-=p=(j*G-U*H)/Y}while((n(h)>v||n(p)>v)&&--x>0);return[d,g]},u}Tt.invert=function(t,e){var r=e/(1+wt);return[t&&t/(wt*L(1-r*r)),2*i(r)]},kt.invert=function(t,e){var r=i(e/T),n=o(r),a=2*r;return[t*T/2/(o(a)*n*n),a]};var It=Pt(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);var Ot=Pt(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);var zt=Pt(5/6*y,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Dt(t,e){var r=t*t,n=e*e;return[t*(1-.162388*n)*(.87-952426e-9*r*r),e*(1+n/12)]}Dt.invert=function(t,e){var r,i=t,a=e,o=50;do{var s=a*a;a-=r=(a*(1+s/12)-e)/(1+s/4)}while(n(r)>v&&--o>0);o=50,t/=1-.162388*s;do{var l=(l=i*i)*l;i-=r=(i*(.87-952426e-9*l)-t)/(.87-.00476213*l)}while(n(r)>v&&--o>0);return[i,a]};var Rt=Pt(2.6516,-.76534,.19123,-.047094,1.36289,-.13965,.031762);function Ft(t){var e=t(x,0)[0]-t(-x,0)[0];function r(r,n){var i=r>0?-.5:.5,a=t(r+i*y,n);return a[0]-=i*e,a}return t.invert&&(r.invert=function(r,n){var i=r>0?-.5:.5,a=t.invert(r+i*e,n),o=a[0]-i*y;return o<-y?o+=2*y:o>y&&(o-=2*y),a[0]=o,a}),r}function Bt(t,e){var r=d(t),i=d(e),s=o(e),l=o(t)*s,c=m(t)*s,u=m(i*e);t=n(a(c,u)),e=S(l),n(t-x)>v&&(t%=x);var f=function(t,e){if(e===x)return[0,0];var r,i,a=m(e),s=a*a,l=s*s,c=1+l,u=1+3*l,f=1-l,h=S(1/L(c)),p=f+s*c*h,d=(1-a)/p,g=L(d),b=d*c,_=L(b),w=g*f;if(0===t)return[0,-(w+s*_)];var T,k=o(e),A=1/k,M=2*a*k,E=(-p*k-(-3*s+h*u)*M*(1-a))/(p*p),C=-A*M,P=-A*(s*c*E+d*u*M),I=-2*A*(f*(.5*E/g)-2*s*g*M),O=4*t/y;if(t>.222*y||e<y/4&&t>.175*y){if(r=(w+s*L(b*(1+l)-w*w))/(1+l),t>y/4)return[r,r];var z=r,D=.5*r;r=.5*(D+z),i=50;do{var R=L(b-r*r),F=r*(I+C*R)+P*S(r/_)-O;if(!F)break;F<0?D=r:z=r,r=.5*(D+z)}while(n(z-D)>v&&--i>0)}else{r=v,i=25;do{var B=r*r,N=L(b-B),j=I+C*N,U=r*j+P*S(r/_)-O,V=j+(P-C*B)/N;r-=T=N?U/V:0}while(n(T)>v&&--i>0)}return[r,-w-s*L(b-r*r)]}(t>y/4?x-t:t,e);return t>y/4&&(u=f[0],f[0]=-f[1],f[1]=-u),f[0]*=r,f[1]*=-i,f}function Nt(t,e){var r,a,l,c,u,f;if(e<v)return[(c=m(t))-(r=e*(t-c*(a=o(t)))/4)*a,a+r*c,1-e*c*c/2,t-r];if(e>=1-v)return r=(1-e)/4,l=1/(a=P(t)),[(c=((f=s(2*(f=t)))-1)/(f+1))+r*((u=a*C(t))-t)/(a*a),l-r*c*l*(u-t),l+r*c*l*(u+t),2*i(s(t))-x+r*(u-t)/a];var h=[1,0,0,0,0,0,0,0,0],p=[L(e),0,0,0,0,0,0,0,0],d=0;for(a=L(1-e),u=1;n(p[d]/h[d])>v&&d<8;)r=h[d++],p[d]=(r-a)/2,h[d]=(r+a)/2,a=L(r*a),u*=2;l=u*h[d]*t;do{l=(S(c=p[d]*m(a=l)/h[d])+l)/2}while(--d);return[m(l),c=o(l),c/o(l-a),l]}function jt(t,e){if(!e)return t;if(1===e)return c(g(t/2+b));for(var r=1,a=L(1-e),o=L(e),s=0;n(o)>v;s++){if(t%y){var l=i(a*g(t)/r);l<0&&(l+=y),t+=l+~~(t/y)*y}else t+=t;o=(r+a)/2,a=L(r*a),o=((r=o)-a)/2}return t/(h(2,s)*r)}function Ut(t,e){var r=(w-1)/(w+1),l=L(1-r*r),u=jt(x,l*l),f=c(g(y/4+n(e)/2)),h=s(-1*f)/L(r),p=function(t,e){var r=t*t,n=e+1,i=1-r-e*e;return[.5*((t>=0?x:-x)-a(i,2*t)),-.25*c(i*i+4*r)+.5*c(n*n+r)]}(h*o(-1*t),h*m(-1*t)),v=function(t,e,r){var a=n(t),o=C(n(e));if(a){var s=1/m(a),l=1/(g(a)*g(a)),c=-(l+r*(o*o*s*s)-1+r),u=(-c+L(c*c-4*((r-1)*l)))/2;return[jt(i(1/L(u)),r)*d(t),jt(i(L((u/l-1)/r)),1-r)*d(e)]}return[0,jt(i(o),1-r)*d(e)]}(p[0],p[1],l*l);return[-v[1],(e>=0?1:-1)*(.5*u-v[0])]}function Vt(t){var e=m(t),r=o(t),i=Ht(t);function s(t,a){var s=i(t,a);t=s[0],a=s[1];var l=m(a),c=o(a),u=o(t),f=E(e*l+r*c*u),h=m(f),p=n(h)>v?f/h:1;return[p*r*m(t),(n(t)>x?p:-p)*(e*c-r*l*u)]}return i.invert=Ht(-t),s.invert=function(t,r){var n=L(t*t+r*r),s=-m(n),l=o(n),c=n*l,u=-r*s,f=n*e,h=L(c*c+u*u-f*f),p=a(c*f+u*h,u*f-c*h),d=(n>x?-1:1)*a(t*s,n*o(p)*l+r*m(p)*s);return i.invert(d,p)},s}function Ht(t){var e=m(t),r=o(t);return function(t,n){var i=o(n),s=o(t)*i,l=m(t)*i,c=m(n);return[a(l,s*r-c*e),S(c*r+s*e)]}}Bt.invert=function(t,e){n(t)>1&&(t=2*d(t)-t),n(e)>1&&(e=2*d(e)-e);var r=d(t),i=d(e),s=-r*t,l=-i*e,c=l/s<1,u=function(t,e){var r=0,i=1,a=.5,s=50;for(;;){var l=a*a,c=L(a),u=S(1/L(1+l)),f=1-l+a*(1+l)*u,h=(1-c)/f,p=L(h),d=h*(1+l),m=p*(1-l),g=L(d-t*t),v=e+m+a*g;if(n(i-r)<1e-12||0==--s||0===v)break;v>0?r=a:i=a,a=.5*(r+i)}if(!s)return null;var x=S(c),b=o(x),_=1/b,w=2*c*b,T=(-f*b-(-3*a+u*(1+3*l))*w*(1-c))/(f*f);return[y/4*(t*(-2*_*(.5*T/p*(1-l)-2*a*p*w)+-_*w*g)+-_*(a*(1+l)*T+h*(1+3*l)*w)*S(t/L(d))),x]}(c?l:s,c?s:l),f=u[0],h=u[1],p=o(h);return c&&(f=-x-f),[r*(a(m(f)*p,-m(h))+y),i*S(o(f)*p)]},Ut.invert=function(t,e){var r,n,o,l,u,f,h=(w-1)/(w+1),p=L(1-h*h),d=jt(x,p*p),m=(n=-t,o=p*p,(r=.5*d-e)?(l=Nt(r,o),n?(f=(u=Nt(n,1-o))[1]*u[1]+o*l[0]*l[0]*u[0]*u[0],[[l[0]*u[2]/f,l[1]*l[2]*u[0]*u[1]/f],[l[1]*u[1]/f,-l[0]*l[2]*u[0]*u[2]/f],[l[2]*u[1]*u[2]/f,-o*l[0]*l[1]*u[0]/f]]):[[l[0],0],[l[1],0],[l[2],0]]):[[0,(u=Nt(n,1-o))[0]/u[1]],[1/u[1],0],[u[2]/u[1],0]]),g=function(t,e){var r=e[0]*e[0]+e[1]*e[1];return[(t[0]*e[0]+t[1]*e[1])/r,(t[1]*e[0]-t[0]*e[1])/r]}(m[0],m[1]);return[a(g[1],g[0])/-1,2*i(s(-.5*c(h*g[0]*g[0]+h*g[1]*g[1])))-x]};var qt=S(1-1/3)*A,Gt=ht(0);function Yt(t){var e=qt*M,r=lt(y,e)[0]-lt(-y,e)[0],i=Gt(0,e)[1],a=lt(0,e)[1],o=T-a,s=k/t,c=4/k,h=i+o*o*4/k;function p(p,d){var m,g=n(d);if(g>e){var v=f(t-1,u(0,l((p+y)/s)));(m=lt(p+=y*(t-1)/t-v*s,g))[0]=m[0]*k/r-k*(t-1)/(2*t)+v*k/t,m[1]=i+4*(m[1]-a)*o/k,d<0&&(m[1]=-m[1])}else m=Gt(p,d);return m[0]*=c,m[1]/=h,m}return p.invert=function(e,p){e/=c;var d=n(p*=h);if(d>i){var m=f(t-1,u(0,l((e+y)/s)));e=(e+y*(t-1)/t-m*s)*r/k;var g=lt.invert(e,.25*(d-i)*k/o+a);return g[0]-=y*(t-1)/t-m*s,p<0&&(g[1]=-g[1]),g}return Gt.invert(e,p)},p}function Wt(t,e){return[t,1&e?90-v:qt]}function Xt(t,e){return[t,1&e?-90+v:-qt]}function Zt(t){return[t[0]*(1-v),t[1]]}function Jt(t){var e,r=1+t,i=S(m(1/r)),s=2*L(y/(e=y+4*i*r)),l=.5*s*(r+L(t*(2+t))),c=t*t,u=r*r;function f(f,h){var p,d,g=1-m(h);if(g&&g<2){var v,b=x-h,_=25;do{var w=m(b),T=o(b),k=i+a(w,r-T),A=1+u-2*r*T;b-=v=(b-c*i-r*w+A*k-.5*g*e)/(2*r*w*k)}while(n(v)>1e-12&&--_>0);p=s*L(A),d=f*k/y}else p=s*(t+g),d=f*i/y;return[p*m(d),l-p*o(d)]}return f.invert=function(t,n){var o=t*t+(n-=l)*n,f=(1+u-o/(s*s))/(2*r),h=E(f),p=m(h),d=i+a(p,r-f);return[S(t/L(o))*y/d,S(1-2*(h-c*i-r*p+(1+u-2*r*f)*d)/e)]},f}function Kt(t,e){return e>-.7109889596207567?((t=W(t,e))[1]+=.0528035274542,t):Q(t,e)}function Qt(t,e){return n(e)>.7109889596207567?((t=W(t,e))[1]-=e>0?.0528035274542:-.0528035274542,t):Q(t,e)}function $t(t,e,r,n){var i=L(4*y/(2*r+(1+t-e/2)*m(2*r)+(t+e)/2*m(4*r)+e/2*m(6*r))),a=L(n*m(r)*L((1+t*o(2*r)+e*o(4*r))/(1+t+e))),s=r*c(1);function l(r){return L(1+t*o(2*r)+e*o(4*r))}function c(n){var i=n*r;return(2*i+(1+t-e/2)*m(2*i)+(t+e)/2*m(4*i)+e/2*m(6*i))/r}function u(t){return l(t)*m(t)}var f=function(t,e){var n=r*V(c,s*m(e)/r,e/y);isNaN(n)&&(n=r*d(e));var u=i*l(n);return[u*a*t/y*o(n),u/a*m(n)]};return f.invert=function(t,e){var n=V(u,e*a/i);return[t*y/(o(n)*i*a*l(n)),S(r*c(n/r)/s)]},0===r&&(i=L(n/y),(f=function(t,e){return[t*i,m(e)/i]}).invert=function(t,e){return[t/i,S(e*i)]}),f}function te(t,e,r,n,i){void 0===n&&(n=1e-8),void 0===i&&(i=20);var a=t(e),o=t(.5*(e+r)),s=t(r);return function t(e,r,n,i,a,o,s,l,c,u,f){if(f.nanEncountered)return NaN;var h,p,d,m,g,v,y,x,b,_;if(p=e(r+.25*(h=n-r)),d=e(n-.25*h),isNaN(p))f.nanEncountered=!0;else{if(!isNaN(d))return _=((v=(m=h*(i+4*p+a)/12)+(g=h*(a+4*d+o)/12))-s)/15,u>c?(f.maxDepthCount++,v+_):Math.abs(_)<l?v+_:(x=t(e,r,y=r+.5*h,i,p,a,m,.5*l,c,u+1,f),isNaN(x)?(f.nanEncountered=!0,NaN):(b=t(e,y,n,a,d,o,g,.5*l,c,u+1,f),isNaN(b)?(f.nanEncountered=!0,NaN):x+b));f.nanEncountered=!0}}(t,e,r,a,o,s,(a+4*o+s)*(r-e)/6,n,i,1,{maxDepthCount:0,nanEncountered:!1})}function ee(t,e,r){function i(r){return t+(1-t)*h(1-h(r,e),1/e)}function a(t){return te(i,0,t,1e-4)}for(var o=1/a(1),s=1e3,l=(1+1e-8)*o,c=[],u=0;u<=s;u++)c.push(a(u/s)*l);function f(t){var e=0,r=s,n=500;do{c[n]>t?r=n:e=n,n=e+r>>1}while(n>e);var i=c[n+1]-c[n];return i&&(i=(t-c[n+1])/i),(n+1+i)/s}var p=2*f(1)/y*o/r,g=function(t,e){var r=f(n(m(e))),a=i(r)*t;return r/=p,[a,e>=0?r:-r]};return g.invert=function(t,e){var r;return n(e*=p)<1&&(r=d(e)*S(a(n(e))*o)),[t/i(n(e)),r]},g}function re(t,e){return n(t[0]-e[0])<v&&n(t[1]-e[1])<v}function ne(t,e){for(var r,n,i,a=-1,o=t.length,s=t[0],l=[];++a<o;){n=((r=t[a])[0]-s[0])/e,i=(r[1]-s[1])/e;for(var c=0;c<e;++c)l.push([s[0]+c*n,s[1]+c*i]);s=r}return l.push(r),l}function ie(t){var e,n,i,a,o,s,l,c=[],u=t[0].length;for(l=0;l<u;++l)n=(e=t[0][l])[0][0],i=e[0][1],a=e[1][1],o=e[2][0],s=e[2][1],c.push(ne([[n+v,i+v],[n+v,a-v],[o-v,a-v],[o-v,s+v]],30));for(l=t[1].length-1;l>=0;--l)n=(e=t[1][l])[0][0],i=e[0][1],a=e[1][1],o=e[2][0],s=e[2][1],c.push(ne([[o-v,s-v],[o-v,a+v],[n+v,a+v],[n+v,i-v]],30));return{type:"Polygon",coordinates:[r.merge(c)]}}function ae(t,r,n){var i,a;function o(e,n){for(var i=n<0?-1:1,a=r[+(n<0)],o=0,s=a.length-1;o<s&&e>a[o][2][0];++o);var l=t(e-a[o][1][0],n);return l[0]+=t(a[o][1][0],i*n>i*a[o][0][1]?a[o][0][1]:n)[0],l}n?o.invert=n(o):t.invert&&(o.invert=function(e,n){for(var i=a[+(n<0)],s=r[+(n<0)],l=0,c=i.length;l<c;++l){var u=i[l];if(u[0][0]<=e&&e<u[1][0]&&u[0][1]<=n&&n<u[1][1]){var f=t.invert(e-t(s[l][1][0],0)[0],n);return f[0]+=s[l][1][0],re(o(f[0],f[1]),[e,n])?f:null}}});var s=e.geoProjection(o),l=s.stream;return s.stream=function(t){var r=s.rotate(),n=l(t),a=(s.rotate([0,0]),l(t));return s.rotate(r),n.sphere=function(){e.geoStream(i,a)},n},s.lobes=function(e){return arguments.length?(i=ie(e),r=e.map((function(t){return t.map((function(t){return[[t[0][0]*M,t[0][1]*M],[t[1][0]*M,t[1][1]*M],[t[2][0]*M,t[2][1]*M]]}))})),a=r.map((function(e){return e.map((function(e){var r,n=t(e[0][0],e[0][1])[0],i=t(e[2][0],e[2][1])[0],a=t(e[1][0],e[0][1])[1],o=t(e[1][0],e[1][1])[1];return a>o&&(r=a,a=o,o=r),[[n,a],[i,o]]}))})),s):r.map((function(t){return t.map((function(t){return[[t[0][0]*A,t[0][1]*A],[t[1][0]*A,t[1][1]*A],[t[2][0]*A,t[2][1]*A]]}))}))},null!=r&&s.lobes(r),s}Kt.invert=function(t,e){return e>-.7109889596207567?W.invert(t,e-.0528035274542):Q.invert(t,e)},Qt.invert=function(t,e){return n(e)>.7109889596207567?W.invert(t,e+(e>0?.0528035274542:-.0528035274542)):Q.invert(t,e)};var oe=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];var se=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];var le=[[[[-180,0],[-100,90],[-40,0]],[[-40,0],[30,90],[180,0]]],[[[-180,0],[-160,-90],[-100,0]],[[-100,0],[-60,-90],[-20,0]],[[-20,0],[20,-90],[80,0]],[[80,0],[140,-90],[180,0]]]];var ce=[[[[-180,0],[-90,90],[0,0]],[[0,0],[90,90],[180,0]]],[[[-180,0],[-90,-90],[0,0]],[[0,0],[90,-90],[180,0]]]];var ue=[[[[-180,35],[-30,90],[0,35]],[[0,35],[30,90],[180,35]]],[[[-180,-10],[-102,-90],[-65,-10]],[[-65,-10],[5,-90],[77,-10]],[[77,-10],[103,-90],[180,-10]]]];var fe=[[[[-180,0],[-110,90],[-40,0]],[[-40,0],[0,90],[40,0]],[[40,0],[110,90],[180,0]]],[[[-180,0],[-110,-90],[-40,0]],[[-40,0],[0,-90],[40,0]],[[40,0],[110,-90],[180,0]]]];function he(t,e){return[3/k*t*L(y*y/3-e*e),e]}function pe(t){function e(e,r){if(n(n(r)-x)<v)return[0,r<0?-2:2];var i=m(r),a=h((1+i)/(1-i),t/2),s=.5*(a+1/a)+o(e*=t);return[2*m(e)/s,(a-1/a)/s]}return e.invert=function(e,r){var i=n(r);if(n(i-2)<v)return e?null:[0,d(r)*x];if(i>2)return null;var o=(e/=2)*e,s=(r/=2)*r,l=2*r/(1+o+s);return l=h((1+l)/(1-l),1/t),[a(2*e,1-o-s)/t,S((l-1)/(l+1))]},e}he.invert=function(t,e){return[k/3*t/L(y*y/3-e*e),e]};var de=y/w;function me(t,e){return[t*(1+L(o(e)))/2,e/(o(e/2)*o(t/6))]}function ge(t,e){var r=t*t,n=e*e;return[t*(.975534+n*(-.0143059*r-.119161+-.0547009*n)),e*(1.00384+r*(.0802894+-.02855*n+199025e-9*r)+n*(.0998909+-.0491032*n))]}function ve(t,e){return[m(t)/o(e),g(e)*o(t)]}function ye(t){var e=o(t),r=g(b+t/2);function i(i,a){var o=a-t,s=n(o)<v?i*e:n(s=b+a/2)<v||n(n(s)-x)<v?0:i*o/c(g(s)/r);return[s,o]}return i.invert=function(i,a){var o,s=a+t;return[n(a)<v?i/e:n(o=b+s/2)<v||n(n(o)-x)<v?0:i*c(g(o)/r)/a,s]},i}function xe(t,e){return[t,1.25*c(g(b+.4*e))]}function be(t){var e=t.length-1;function r(r,n){for(var i,a=o(n),s=2/(1+a*o(r)),l=s*a*m(r),c=s*m(n),u=e,f=t[u],h=f[0],p=f[1];--u>=0;)h=(f=t[u])[0]+l*(i=h)-c*p,p=f[1]+l*p+c*i;return[h=l*(i=h)-c*p,p=l*p+c*i]}return r.invert=function(r,s){var l=20,c=r,u=s;do{for(var f,h=e,p=t[h],d=p[0],g=p[1],v=0,y=0;--h>=0;)v=d+c*(f=v)-u*y,y=g+c*y+u*f,d=(p=t[h])[0]+c*(f=d)-u*g,g=p[1]+c*g+u*f;var x,b,_=(v=d+c*(f=v)-u*y)*v+(y=g+c*y+u*f)*y;c-=x=((d=c*(f=d)-u*g-r)*v+(g=c*g+u*f-s)*y)/_,u-=b=(g*v-d*y)/_}while(n(x)+n(b)>1e-12&&--l>0);if(l){var w=L(c*c+u*u),T=2*i(.5*w),k=m(T);return[a(c*k,w*o(T)),w?S(u*k/w):0]}},r}me.invert=function(t,e){var r=n(t),i=n(e),a=v,s=x;i<de?s*=i/de:a+=6*E(de/i);for(var l=0;l<25;l++){var c=m(s),u=L(o(s)),f=m(s/2),h=o(s/2),p=m(a/6),d=o(a/6),g=.5*a*(1+u)-r,y=s/(h*d)-i,b=u?-.25*a*c/u:0,_=.5*(1+u),w=(1+.5*s*f/h)/(h*d),T=s/h*(p/6)/(d*d),k=b*T-w*_,A=(g*T-y*_)/k,M=(y*b-g*w)/k;if(s-=A,a-=M,n(A)<v&&n(M)<v)break}return[t<0?-a:a,e<0?-s:s]},ge.invert=function(t,e){var r=d(t)*y,i=e/2,a=50;do{var o=r*r,s=i*i,l=r*i,c=r*(.975534+s*(-.0143059*o-.119161+-.0547009*s))-t,u=i*(1.00384+o*(.0802894+-.02855*s+199025e-9*o)+s*(.0998909+-.0491032*s))-e,f=.975534-s*(.119161+3*o*.0143059+.0547009*s),h=-l*(.238322+.2188036*s+.0286118*o),p=l*(.1605788+7961e-7*o+-.0571*s),m=1.00384+o*(.0802894+199025e-9*o)+s*(3*(.0998909-.02855*o)-.245516*s),g=h*p-m*f,x=(u*h-c*m)/g,b=(c*p-u*f)/g;r-=x,i-=b}while((n(x)>v||n(b)>v)&&--a>0);return a&&[r,i]},ve.invert=function(t,e){var r=t*t,n=e*e+1,i=r+n,a=t?_*L((i-L(i*i-4*r))/r):1/L(n);return[S(t*a),d(e)*E(a)]},xe.invert=function(t,e){return[t,2.5*i(s(.8*e))-.625*y]};var _e=[[.9972523,0],[.0052513,-.0041175],[.0074606,.0048125],[-.0153783,-.1968253],[.0636871,-.1408027],[.3660976,-.2937382]],we=[[.98879,0],[0,0],[-.050909,0],[0,0],[.075528,0]],Te=[[.984299,0],[.0211642,.0037608],[-.1036018,-.0575102],[-.0329095,-.0320119],[.0499471,.1223335],[.026046,.0899805],[7388e-7,-.1435792],[.0075848,-.1334108],[-.0216473,.0776645],[-.0225161,.0853673]],ke=[[.9245,0],[0,0],[.01943,0]],Ae=[[.721316,0],[0,0],[-.00881625,-.00617325]];function Me(t,r){var n=e.geoProjection(be(t)).rotate(r).clipAngle(90),i=e.geoRotation(r),a=n.center;return delete n.rotate,n.center=function(t){return arguments.length?a(i(t)):i.invert(a())},n}var Se=L(6),Ee=L(7);function Le(t,e){var r=S(7*m(e)/(3*Se));return[Se*t*(2*o(2*r/3)-1)/Ee,9*m(r/3)/Ee]}function Ce(t,e){for(var r,i=(1+_)*m(e),a=e,s=0;s<25&&(a-=r=(m(a/2)+m(a)-i)/(.5*o(a/2)+o(a)),!(n(r)<v));s++);return[t*(1+2*o(a)/o(a/2))/(3*w),2*L(3)*m(a/2)/L(2+w)]}function Pe(t,e){for(var r,i=L(6/(4+y)),a=(1+y/4)*m(e),s=e/2,l=0;l<25&&(s-=r=(s/2+m(s)-a)/(.5+o(s)),!(n(r)<v));l++);return[i*(.5+o(s))*t/1.5,i*s]}function Ie(t,e){var r=e*e,n=r*r,i=r*n;return[t*(.84719-.13063*r+i*i*(.05494*r-.04515-.02326*n+.00331*i)),e*(1.01183+n*n*(.01926*r-.02625-.00396*n))]}function Oe(t,e){return[t*(1+o(e))/2,2*(e-g(e/2))]}Le.invert=function(t,e){var r=3*S(e*Ee/9);return[t*Ee/(Se*(2*o(2*r/3)-1)),S(3*m(r)*Se/7)]},Ce.invert=function(t,e){var r=e*L(2+w)/(2*L(3)),n=2*S(r);return[3*w*t/(1+2*o(n)/o(n/2)),S((r+m(n))/(1+_))]},Pe.invert=function(t,e){var r=L(6/(4+y)),i=e/r;return n(n(i)-x)<v&&(i=i<0?-x:x),[1.5*t/(r*(.5+o(i))),S((i/2+m(i))/(1+y/4))]},Ie.invert=function(t,e){var r,i,a,o,s=e,l=25;do{s-=r=(s*(1.01183+(a=(i=s*s)*i)*a*(.01926*i-.02625-.00396*a))-e)/(1.01183+a*a*(.21186*i-.23625+-.05148*a))}while(n(r)>1e-12&&--l>0);return[t/(.84719-.13063*(i=s*s)+(o=i*(a=i*i))*o*(.05494*i-.04515-.02326*a+.00331*o)),s]},Oe.invert=function(t,e){for(var r=e/2,i=0,a=1/0;i<10&&n(a)>v;++i){var s=o(e/2);e-=a=(e-g(e/2)-r)/(1-.5/(s*s))}return[2*t/(1+o(e)),e]};var ze=[[[[-180,0],[-90,90],[0,0]],[[0,0],[90,90],[180,0]]],[[[-180,0],[-90,-90],[0,0]],[[0,0],[90,-90],[180,0]]]];function De(t,e){var r=m(e),i=o(e),a=d(t);if(0===t||n(e)===x)return[0,e];if(0===e)return[t,0];if(n(t)===x)return[t*i,x*r];var s=y/(2*t)-2*t/y,l=2*e/y,c=(1-l*l)/(r-l),u=s*s,f=c*c,h=1+u/f,p=1+f/u,g=(s*r/c-s/2)/h,v=(f*r/u+c/2)/p,b=v*v-(f*r*r/u+c*r-1)/p;return[x*(g+L(g*g+i*i/h)*a),x*(v+L(b<0?0:b)*d(-e*s)*a)]}De.invert=function(t,e){var r=(t/=x)*t,n=r+(e/=x)*e,i=y*y;return[t?(n-1+L((1-n)*(1-n)+4*r))/(2*t)*x:0,V((function(t){return n*(y*m(t)-2*t)*y+4*t*t*(e-m(t))+2*y*t-i*e}),0)]};function Re(t,e){var r=e*e;return[t,e*(1.0148+r*r*(.23185+r*(.02406*r-.14499)))]}function Fe(t,e){if(n(e)<v)return[t,0];var r=g(e),i=t*m(e);return[m(i)/r,e+(1-o(i))/r]}function Be(t,e){var r=je(t[1],t[0]),n=je(e[1],e[0]),i=function(t,e){return a(t[0]*e[1]-t[1]*e[0],t[0]*e[0]+t[1]*e[1])}(r,n),s=Ue(r)/Ue(n);return Ne([1,0,t[0][0],0,1,t[0][1]],Ne([s,0,0,0,s,0],Ne([o(i),m(i),0,-m(i),o(i),0],[1,0,-e[0][0],0,1,-e[0][1]])))}function Ne(t,e){return[t[0]*e[0]+t[1]*e[3],t[0]*e[1]+t[1]*e[4],t[0]*e[2]+t[1]*e[5]+t[2],t[3]*e[0]+t[4]*e[3],t[3]*e[1]+t[4]*e[4],t[3]*e[2]+t[4]*e[5]+t[5]]}function je(t,e){return[t[0]-e[0],t[1]-e[1]]}function Ue(t){return L(t[0]*t[0]+t[1]*t[1])}function Ve(t,r,i){function a(t,e){var n,i=r(t,e),a=i.project([t*A,e*A]);return(n=i.transform)?[n[0]*a[0]+n[1]*a[1]+n[2],-(n[3]*a[0]+n[4]*a[1]+n[5])]:(a[1]=-a[1],a)}!function t(e,r){if(e.edges=function(t){for(var e=t.length,r=[],n=t[e-1],i=0;i<e;++i)r.push([n,n=t[i]]);return r}(e.face),r.face){var n=e.shared=function(t,e){for(var r,n,i=t.length,a=null,o=0;o<i;++o){r=t[o];for(var s=e.length;--s>=0;)if(n=e[s],r[0]===n[0]&&r[1]===n[1]){if(a)return[a,r];a=r}}}(e.face,r.face),i=Be(n.map(r.project),n.map(e.project));e.transform=r.transform?Ne(r.transform,i):i;for(var a=r.edges,o=0,s=a.length;o<s;++o)He(n[0],a[o][1])&&He(n[1],a[o][0])&&(a[o]=e),He(n[0],a[o][0])&&He(n[1],a[o][1])&&(a[o]=e);for(a=e.edges,o=0,s=a.length;o<s;++o)He(n[0],a[o][0])&&He(n[1],a[o][1])&&(a[o]=r),He(n[0],a[o][1])&&He(n[1],a[o][0])&&(a[o]=r)}else e.transform=r.transform;e.children&&e.children.forEach((function(r){t(r,e)}));return e}(t,{transform:null}),qe(t)&&(a.invert=function(e,n){var i=function t(e,n){var i=e.project.invert,a=e.transform,o=n;a&&(a=function(t){var e=1/(t[0]*t[4]-t[1]*t[3]);return[e*t[4],-e*t[1],e*(t[1]*t[5]-t[2]*t[4]),-e*t[3],e*t[0],e*(t[2]*t[3]-t[0]*t[5])]}(a),o=[a[0]*o[0]+a[1]*o[1]+a[2],a[3]*o[0]+a[4]*o[1]+a[5]]);if(i&&e===function(t){return r(t[0]*M,t[1]*M)}(s=i(o)))return s;for(var s,l=e.children,c=0,u=l&&l.length;c<u;++c)if(s=t(l[c],n))return s}(t,[e,-n]);return i&&(i[0]*=M,i[1]*=M,i)});var o=e.geoProjection(a),s=o.stream;return o.stream=function(r){var i=o.rotate(),a=s(r),l=(o.rotate([0,0]),s(r));return o.rotate(i),a.sphere=function(){l.polygonStart(),l.lineStart(),function t(r,i,a){var o,s,l=i.edges,c=l.length,u={type:"MultiPoint",coordinates:i.face},f=i.face.filter((function(t){return 90!==n(t[1])})),h=e.geoBounds({type:"MultiPoint",coordinates:f}),p=!1,d=-1,m=h[1][0]-h[0][0],g=180===m||360===m?[(h[0][0]+h[1][0])/2,(h[0][1]+h[1][1])/2]:e.geoCentroid(u);if(a)for(;++d<c&&l[d]!==a;);++d;for(var y=0;y<c;++y)s=l[(y+d)%c],Array.isArray(s)?(p||(r.point((o=e.geoInterpolate(s[0],g)(v))[0],o[1]),p=!0),r.point((o=e.geoInterpolate(s[1],g)(v))[0],o[1])):(p=!1,s!==a&&t(r,s,i))}(l,t),l.lineEnd(),l.polygonEnd()},a},o.angle(null==i?-30:i*A)}function He(t,e){return t&&e&&t[0]===e[0]&&t[1]===e[1]}function qe(t){return t.project.invert||t.children&&t.children.some(qe)}Re.invert=function(t,e){e>1.790857183?e=1.790857183:e<-1.790857183&&(e=-1.790857183);var r,i=e;do{var a=i*i;i-=r=(i*(1.0148+a*a*(.23185+a*(.02406*a-.14499)))-e)/(1.0148+a*a*(5*.23185+a*(.21654*a-1.01493)))}while(n(r)>v);return[t,i]},Fe.invert=function(t,e){if(n(e)<v)return[t,0];var r,i=t*t+e*e,a=.5*e,s=10;do{var l=g(a),c=1/o(a),u=i-2*e*a+a*a;a-=r=(l*u+2*(a-e))/(2+u*c*c+2*(a-e)*l)}while(n(r)>v&&--s>0);return l=g(a),[(n(e)<n(a+1/l)?S(t*l):d(e)*d(t)*(E(n(t*l))+x))/m(a),a]};var Ge=[[0,90],[-90,0],[0,0],[90,0],[180,0],[0,-90]],Ye=[[0,2,1],[0,3,2],[5,1,2],[5,2,3],[0,1,4],[0,4,3],[5,4,1],[5,3,4]].map((function(t){return t.map((function(t){return Ge[t]}))}));var We=2/L(3);function Xe(t,e){var r=lt(t,e);return[r[0]*We,r[1]]}function Ze(t,e){for(var r=0,n=t.length,i=0;r<n;++r)i+=t[r]*e[r];return i}function Je(t){return[a(t[1],t[0])*A,S(u(-1,f(1,t[2])))*A]}function Ke(t){var e=t[0]*M,r=t[1]*M,n=o(r);return[n*o(e),n*m(e),m(r)]}function Qe(){}function $e(t,e){return{type:"FeatureCollection",features:t.features.map((function(t){return tr(t,e)}))}}function tr(t,e){return{type:"Feature",id:t.id,properties:t.properties,geometry:er(t.geometry,e)}}function er(t,r){if(!t)return null;if("GeometryCollection"===t.type)return function(t,e){return{type:"GeometryCollection",geometries:t.geometries.map((function(t){return er(t,e)}))}}(t,r);var n;switch(t.type){case"Point":case"MultiPoint":n=ir;break;case"LineString":case"MultiLineString":n=ar;break;case"Polygon":case"MultiPolygon":case"Sphere":n=or;break;default:return null}return e.geoStream(t,r(n)),n.result()}Xe.invert=function(t,e){return lt.invert(t/We,e)};var rr=[],nr=[],ir={point:function(t,e){rr.push([t,e])},result:function(){var t=rr.length?rr.length<2?{type:"Point",coordinates:rr[0]}:{type:"MultiPoint",coordinates:rr}:null;return rr=[],t}},ar={lineStart:Qe,point:function(t,e){rr.push([t,e])},lineEnd:function(){rr.length&&(nr.push(rr),rr=[])},result:function(){var t=nr.length?nr.length<2?{type:"LineString",coordinates:nr[0]}:{type:"MultiLineString",coordinates:nr}:null;return nr=[],t}},or={polygonStart:Qe,lineStart:Qe,point:function(t,e){rr.push([t,e])},lineEnd:function(){var t=rr.length;if(t){do{rr.push(rr[0].slice())}while(++t<4);nr.push(rr),rr=[]}},polygonEnd:Qe,result:function(){if(!nr.length)return null;var t=[],e=[];return nr.forEach((function(r){!function(t){if((e=t.length)<4)return!1;for(var e,r=0,n=t[e-1][1]*t[0][0]-t[e-1][0]*t[0][1];++r<e;)n+=t[r-1][1]*t[r][0]-t[r-1][0]*t[r][1];return n<=0}(r)?e.push(r):t.push([r])})),e.forEach((function(e){var r=e[0];t.some((function(t){if(function(t,e){for(var r=e[0],n=e[1],i=!1,a=0,o=t.length,s=o-1;a<o;s=a++){var l=t[a],c=l[0],u=l[1],f=t[s],h=f[0],p=f[1];u>n^p>n&&r<(h-c)*(n-u)/(p-u)+c&&(i=!i)}return i}(t[0],r))return t.push(e),!0}))||t.push([e])})),nr=[],t.length?t.length>1?{type:"MultiPolygon",coordinates:t}:{type:"Polygon",coordinates:t[0]}:null}};function sr(t){var r=t(x,0)[0]-t(-x,0)[0];function i(e,i){var a=n(e)<x,o=t(a?e:e>0?e-y:e+y,i),s=(o[0]-o[1])*_,l=(o[0]+o[1])*_;if(a)return[s,l];var c=r*_,u=s>0^l>0?-1:1;return[u*s-d(l)*c,u*l-d(s)*c]}return t.invert&&(i.invert=function(e,i){var a=(e+i)*_,o=(i-e)*_,s=n(a)<.5*r&&n(o)<.5*r;if(!s){var l=r*_,c=a>0^o>0?-1:1,u=-c*e+(o>0?1:-1)*l,f=-c*i+(a>0?1:-1)*l;a=(-u-f)*_,o=(u-f)*_}var h=t.invert(a,o);return s||(h[0]+=a>0?y:-y),h}),e.geoProjection(i).rotate([-90,-90,45]).clipAngle(179.999)}function lr(){return sr(Ut).scale(111.48)}function cr(t){var e=m(t);function r(r,n){var a=e?g(r*e/2)/e:r/2;if(!n)return[2*a,-t];var s=2*i(a*m(n)),l=1/g(n);return[m(s)*l,n+(1-o(s))*l-t]}return r.invert=function(r,a){if(n(a+=t)<v)return[e?2*i(e*r/2)/e:r,0];var s,l=r*r+a*a,c=0,u=10;do{var f=g(c),h=1/o(c),p=l-2*a*c+c*c;c-=s=(f*p+2*(c-a))/(2+p*h*h+2*(c-a)*f)}while(n(s)>v&&--u>0);var d=r*(f=g(c)),x=g(n(a)<n(c+1/f)?.5*S(d):.5*E(d)+y/4)/m(c);return[e?2*i(e*x)/e:2*x,c]},r}var ur=[[.9986,-.062],[1,0],[.9986,.062],[.9954,.124],[.99,.186],[.9822,.248],[.973,.31],[.96,.372],[.9427,.434],[.9216,.4958],[.8962,.5571],[.8679,.6176],[.835,.6769],[.7986,.7346],[.7597,.7903],[.7186,.8435],[.6732,.8936],[.6213,.9394],[.5722,.9761],[.5322,1]];function fr(t,e){var r,i=f(18,36*n(e)/y),a=l(i),o=i-a,s=(r=ur[a])[0],c=r[1],u=(r=ur[++a])[0],h=r[1],p=(r=ur[f(19,++a)])[0],d=r[1];return[t*(u+o*(p-s)/2+o*o*(p-2*u+s)/2),(e>0?x:-x)*(h+o*(d-c)/2+o*o*(d-2*h+c)/2)]}function hr(t,e){var r=function(t){function e(e,r){var n=o(r),i=(t-1)/(t-n*o(e));return[i*n*m(e),i*m(r)]}return e.invert=function(e,r){var n=e*e+r*r,i=L(n),o=(t-L(1-n*(t+1)/(t-1)))/((t-1)/i+i/(t-1));return[a(e*o,i*L(1-o*o)),i?S(r*o/i):0]},e}(t);if(!e)return r;var n=o(e),i=m(e);function s(e,a){var o=r(e,a),s=o[1],l=s*i/(t-1)+n;return[o[0]*n/l,s/l]}return s.invert=function(e,a){var o=(t-1)/(t-1-a*i);return r.invert(o*e,o*a*n)},s}ur.forEach((function(t){t[1]*=1.0144})),fr.invert=function(t,e){var r=e/x,i=90*r,a=f(18,n(i/5)),o=u(0,l(a));do{var s=ur[o][1],c=ur[o+1][1],h=ur[f(19,o+2)][1],p=h-s,d=h-2*c+s,m=2*(n(r)-c)/p,g=d/p,v=m*(1-g*m*(1-2*g*m));if(v>=0||1===o){i=(e>=0?5:-5)*(v+a);var y,b=50;do{v=(a=f(18,n(i)/5))-(o=l(a)),s=ur[o][1],c=ur[o+1][1],h=ur[f(19,o+2)][1],i-=(y=(e>=0?x:-x)*(c+v*(h-s)/2+v*v*(h-2*c+s)/2)-e)*A}while(n(y)>1e-12&&--b>0);break}}while(--o>=0);var _=ur[o][0],w=ur[o+1][0],T=ur[f(19,o+2)][0];return[t/(w+v*(T-_)/2+v*v*(T-2*w+_)/2),i*M]};var pr=-179.9999,dr=179.9999,mr=-89.9999;function gr(t){return t.length>0}function vr(t){return-90===t||90===t?[0,t]:[-180,(e=t,Math.floor(1e4*e)/1e4)];var e}function yr(t){var e=t[0],r=t[1],n=!1;return e<=pr?(e=-180,n=!0):e>=dr&&(e=180,n=!0),r<=mr?(r=-90,n=!0):r>=89.9999&&(r=90,n=!0),n?[e,r]:t}function xr(t){return t.map(yr)}function br(t,e,r){for(var n=0,i=t.length;n<i;++n){var a=t[n].slice();r.push({index:-1,polygon:e,ring:a});for(var o=0,s=a.length;o<s;++o){var l=a[o],c=l[0],u=l[1];if(c<=pr||c>=dr||u<=mr||u>=89.9999){a[o]=yr(l);for(var f=o+1;f<s;++f){var h=a[f],p=h[0],d=h[1];if(p>pr&&p<dr&&d>mr&&d<89.9999)break}if(f===o+1)continue;if(o){var m={index:-1,polygon:e,ring:a.slice(0,o+1)};m.ring[m.ring.length-1]=vr(u),r[r.length-1]=m}else r.pop();if(f>=s)break;r.push({index:-1,polygon:e,ring:a=a.slice(f-1)}),a[0]=vr(a[0][1]),o=-1,s=a.length}}}}function _r(t){var e,r,n,i,a,o,s=t.length,l={},c={};for(e=0;e<s;++e)n=(r=t[e]).ring[0],a=r.ring[r.ring.length-1],n[0]!==a[0]||n[1]!==a[1]?(r.index=e,l[n]=c[a]=r):(r.polygon.push(r.ring),t[e]=null);for(e=0;e<s;++e)if(r=t[e]){if(n=r.ring[0],a=r.ring[r.ring.length-1],i=c[n],o=l[a],delete l[n],delete c[a],n[0]===a[0]&&n[1]===a[1]){r.polygon.push(r.ring);continue}i?(delete c[n],delete l[i.ring[0]],i.ring.pop(),t[i.index]=null,r={index:-1,polygon:i.polygon,ring:i.ring.concat(r.ring)},i===o?r.polygon.push(r.ring):(r.index=s++,t.push(l[r.ring[0]]=c[r.ring[r.ring.length-1]]=r))):o?(delete l[a],delete c[o.ring[o.ring.length-1]],r.ring.pop(),r={index:s++,polygon:o.polygon,ring:r.ring.concat(o.ring)},t[o.index]=null,t.push(l[r.ring[0]]=c[r.ring[r.ring.length-1]]=r)):(r.ring.push(r.ring[0]),r.polygon.push(r.ring))}}function wr(t){var e={type:"Feature",geometry:Tr(t.geometry)};return null!=t.id&&(e.id=t.id),null!=t.bbox&&(e.bbox=t.bbox),null!=t.properties&&(e.properties=t.properties),e}function Tr(t){if(null==t)return t;var e,r,n,i;switch(t.type){case"GeometryCollection":e={type:"GeometryCollection",geometries:t.geometries.map(Tr)};break;case"Point":e={type:"Point",coordinates:yr(t.coordinates)};break;case"MultiPoint":case"LineString":e={type:t.type,coordinates:xr(t.coordinates)};break;case"MultiLineString":e={type:"MultiLineString",coordinates:t.coordinates.map(xr)};break;case"Polygon":var a=[];br(t.coordinates,a,r=[]),_r(r),e={type:"Polygon",coordinates:a};break;case"MultiPolygon":r=[],n=-1,i=t.coordinates.length;for(var o=new Array(i);++n<i;)br(t.coordinates[n],o[n]=[],r);_r(r),e={type:"MultiPolygon",coordinates:o.filter(gr)};break;default:return t}return null!=t.bbox&&(e.bbox=t.bbox),e}function kr(t,e){var r=g(e/2),n=m(b*r);return[t*(.74482-.34588*n*n),1.70711*r]}function Ar(t,r,n){var i=e.geoInterpolate(r,n),a=i(.5),o=e.geoRotation([-a[0],-a[1]])(r),s=i.distance/2,l=-S(m(o[1]*M)/m(s)),c=[-a[0],-a[1],-(o[0]>0?y-l:l)*A],u=e.geoProjection(t(s)).rotate(c),f=e.geoRotation(c),h=u.center;return delete u.rotate,u.center=function(t){return arguments.length?h(f(t)):f.invert(h())},u.clipAngle(90)}function Mr(t){var r=o(t);function n(t,n){var i=e.geoGnomonicRaw(t,n);return i[0]*=r,i}return n.invert=function(t,n){return e.geoGnomonicRaw.invert(t/r,n)},n}function Sr(t,e){return Ar(Mr,t,e)}function Er(t){if(!(t*=2))return e.geoAzimuthalEquidistantRaw;var r=-t/2,n=-r,i=t*t,s=g(n),l=.5/m(n);function c(e,a){var s=E(o(a)*o(e-r)),l=E(o(a)*o(e-n));return[((s*=s)-(l*=l))/(2*t),(a<0?-1:1)*L(4*i*l-(i-s+l)*(i-s+l))/(2*t)]}return c.invert=function(t,e){var i,c,u=e*e,f=o(L(u+(i=t+r)*i)),h=o(L(u+(i=t+n)*i));return[a(c=f-h,i=(f+h)*s),(e<0?-1:1)*E(L(i*i+c*c)*l)]},c}function Lr(t,e){return Ar(Er,t,e)}function Cr(t,e){if(n(e)<v)return[t,0];var r=n(e/x),i=S(r);if(n(t)<v||n(n(e)-x)<v)return[0,d(e)*y*g(i/2)];var a=o(i),s=n(y/t-t/y)/2,l=s*s,c=a/(r+a-1),u=c*(2/r-1),f=u*u,h=f+l,p=c-f,m=l+c;return[d(t)*y*(s*p+L(l*p*p-h*(c*c-f)))/h,d(e)*y*(u*m-s*L((l+1)*h-m*m))/h]}function Pr(t,e){if(n(e)<v)return[t,0];var r=n(e/x),i=S(r);if(n(t)<v||n(n(e)-x)<v)return[0,d(e)*y*g(i/2)];var a=o(i),s=n(y/t-t/y)/2,l=s*s,c=a*(L(1+l)-s*a)/(1+l*r*r);return[d(t)*y*c,d(e)*y*L(1-c*(2*s+c))]}function Ir(t,e){if(n(e)<v)return[t,0];var r=e/x,i=S(r);if(n(t)<v||n(n(e)-x)<v)return[0,y*g(i/2)];var a=(y/t-t/y)/2,s=r/(1+o(i));return[y*(d(t)*L(a*a+1-s*s)-a),y*s]}function Or(t,e){if(!e)return[t,0];var r=n(e);if(!t||r===x)return[0,e];var i=r/x,a=i*i,o=(8*i-a*(a+2)-5)/(2*a*(i-1)),s=o*o,l=i*o,c=a+s+2*l,u=i+3*o,f=t/x,h=f+1/f,p=d(n(t)-x)*L(h*h-4),m=p*p,g=(p*(c+s-1)+2*L(c*(a+s*m-1)+(1-a)*(a*(u*u+4*s)+12*l*s+4*s*s)))/(4*c+m);return[d(t)*x*g,d(e)*x*L(1+p*n(g)-g*g)]}function zr(t,e,r,n){var i=y/3;t=u(t,v),e=u(e,v),t=f(t,x),e=f(e,y-v),r=u(r,0),r=f(r,100-v);var s=(n=u(n,v))/100,l=E((r/100+1)*o(i))/i,c=m(t)/m(l*x),h=e/y,p=L(s*m(t/2)/m(e/2));return function(t,e,r,n,i){function s(a,s){var l=r*m(n*s),c=L(1-l*l),u=L(2/(1+c*o(a*=i)));return[t*c*u*m(a),e*l*u]}return s.invert=function(o,s){var l=o/t,c=s/e,u=L(l*l+c*c),f=2*S(u/2);return[a(o*g(f),t*u)/i,u&&S(s*m(f)/(e*r*u))/n]},s}(p/L(h*c*l),1/(p*L(h*c*l)),c,l,h)}function Dr(){var t=65*M,r=60*M,n=20,i=200,a=e.geoProjectionMutator(zr),o=a(t,r,n,i);return o.poleline=function(e){return arguments.length?a(t=+e*M,r,n,i):t*A},o.parallels=function(e){return arguments.length?a(t,r=+e*M,n,i):r*A},o.inflation=function(e){return arguments.length?a(t,r,n=+e,i):n},o.ratio=function(e){return arguments.length?a(t,r,n,i=+e):i},o.scale(163.775)}kr.invert=function(t,e){var r=e/1.70711,n=m(b*r);return[t/(.74482-.34588*n*n),2*i(r)]},Cr.invert=function(t,e){if(n(e)<v)return[t,0];if(n(t)<v)return[0,x*m(2*i(e/y))];var r=(t/=y)*t,a=(e/=y)*e,s=r+a,l=s*s,c=-n(e)*(1+s),u=c-2*a+r,f=-2*c+1+2*a+l,h=a/f+(2*u*u*u/(f*f*f)-9*c*u/(f*f))/27,p=(c-u*u/(3*f))/f,g=2*L(-p/3),b=E(3*h/(p*g))/3;return[y*(s-1+L(1+2*(r-a)+l))/(2*t),d(e)*y*(-g*o(b+y/3)-u/(3*f))]},Pr.invert=function(t,e){if(!t)return[0,x*m(2*i(e/y))];var r=n(t/y),o=(1-r*r-(e/=y)*e)/(2*r),s=L(o*o+1);return[d(t)*y*(s-o),d(e)*x*m(2*a(L((1-2*o*r)*(o+s)-r),L(s+o+r)))]},Ir.invert=function(t,e){if(!e)return[t,0];var r=e/y,n=(y*y*(1-r*r)-t*t)/(2*y*t);return[t?y*(d(t)*L(n*n+1)-n):0,x*m(2*i(r))]},Or.invert=function(t,e){var r;if(!t||!e)return[t,e];e/=y;var i=d(t)*t/x,a=(i*i-1+4*e*e)/n(i),o=a*a,s=2*e,l=50;do{var c=s*s,u=(8*s-c*(c+2)-5)/(2*c*(s-1)),f=(3*s-c*s-10)/(2*c*s),h=u*u,p=s*u,m=s+u,g=m*m,b=s+3*u,_=-2*m*(4*p*h+(1-4*c+3*c*c)*(1+f)+h*(14*c-6-o+(8*c-8-2*o)*f)+p*(12*c-8+(10*c-10-o)*f)),w=L(g*(c+h*o-1)+(1-c)*(c*(b*b+4*h)+h*(12*p+4*h)));s-=r=(a*(g+h-1)+2*w-i*(4*g+o))/(a*(2*u*f+2*m*(1+f))+_/w-8*m*(a*(-1+h+g)+2*w)*(1+f)/(o+4*g))}while(r>v&&--l>0);return[d(t)*(L(a*a+4)+a)*y/4,x*s]};var Rr=4*y+3*L(3),Fr=2*L(2*y*L(3)/Rr),Br=Y(Fr*L(3)/y,Fr,Rr/6);function Nr(t,e){return[t*L(1-3*e*e/(y*y)),e]}function jr(t,e){var r=o(e),n=o(t)*r,i=1-n,s=o(t=a(m(t)*r,-m(e))),l=m(t);return[l*(r=L(1-n*n))-s*i,-s*r-l*i]}function Ur(t,e){var r=O(t,e);return[(r[0]+t/x)/2,(r[1]+e)/2]}Nr.invert=function(t,e){return[t/L(1-3*e*e/(y*y)),e]},jr.invert=function(t,e){var r=(t*t+e*e)/-2,n=L(-r*(2+r)),i=e*r+t*n,o=t*r-e*n,s=L(o*o+i*i);return[a(n*i,s*(1+r)),s?-S(n*o/s):0]},Ur.invert=function(t,e){var r=t,i=e,a=25;do{var s,l=o(i),c=m(i),u=m(2*i),f=c*c,h=l*l,p=m(r),d=o(r/2),g=m(r/2),y=g*g,b=1-h*d*d,_=b?E(l*d)*L(s=1/b):s=0,w=.5*(2*_*l*g+r/x)-t,T=.5*(_*c+i)-e,k=.5*s*(h*y+_*l*d*f)+.5/x,A=s*(p*u/4-_*c*g),M=.125*s*(u*g-_*c*h*p),S=.5*s*(f*d+_*y*l)+.5,C=A*M-S*k,P=(T*A-w*S)/C,I=(w*M-T*k)/C;r-=P,i-=I}while((n(P)>v||n(I)>v)&&--a>0);return[r,i]},t.geoNaturalEarth=e.geoNaturalEarth1,t.geoNaturalEarthRaw=e.geoNaturalEarth1Raw,t.geoAiry=function(){var t=x,r=e.geoProjectionMutator(I),n=r(t);return n.radius=function(e){return arguments.length?r(t=e*M):t*A},n.scale(179.976).clipAngle(147)},t.geoAiryRaw=I,t.geoAitoff=function(){return e.geoProjection(O).scale(152.63)},t.geoAitoffRaw=O,t.geoArmadillo=function(){var t=20*M,r=t>=0?1:-1,n=g(r*t),i=e.geoProjectionMutator(z),s=i(t),l=s.stream;return s.parallel=function(e){return arguments.length?(n=g((r=(t=e*M)>=0?1:-1)*t),i(t)):t*A},s.stream=function(e){var i=s.rotate(),c=l(e),u=(s.rotate([0,0]),l(e)),f=s.precision();return s.rotate(i),c.sphere=function(){u.polygonStart(),u.lineStart();for(var e=-180*r;r*e<180;e+=90*r)u.point(e,90*r);if(t)for(;r*(e-=3*r*f)>=-180;)u.point(e,r*-a(o(e*M/2),n)*A);u.lineEnd(),u.polygonEnd()},c},s.scale(218.695).center([0,28.0974])},t.geoArmadilloRaw=z,t.geoAugust=function(){return e.geoProjection(D).scale(66.1603)},t.geoAugustRaw=D,t.geoBaker=function(){return e.geoProjection(B).scale(112.314)},t.geoBakerRaw=B,t.geoBerghaus=function(){var t=5,r=e.geoProjectionMutator(N),n=r(t),i=n.stream,s=-o(.01*M),l=m(.01*M);return n.lobes=function(e){return arguments.length?r(t=+e):t},n.stream=function(e){var r=n.rotate(),c=i(e),u=(n.rotate([0,0]),i(e));return n.rotate(r),c.sphere=function(){u.polygonStart(),u.lineStart();for(var e=0,r=360/t,n=2*y/t,i=90-180/t,c=x;e<t;++e,i-=r,c-=n)u.point(a(l*o(c),s)*A,S(l*m(c))*A),i<-90?(u.point(-90,-180-i-.01),u.point(-90,-180-i+.01)):(u.point(90,i+.01),u.point(90,i-.01));u.lineEnd(),u.polygonEnd()},c},n.scale(87.8076).center([0,17.1875]).clipAngle(179.999)},t.geoBerghausRaw=N,t.geoBertin1953=function(){return e.geoProjection(q()).rotate([-16.5,-42]).scale(176.57).center([7.93,.09])},t.geoBertin1953Raw=q,t.geoBoggs=function(){return e.geoProjection(J).scale(160.857)},t.geoBoggsRaw=J,t.geoBonne=function(){return K($).scale(123.082).center([0,26.1441]).parallel(45)},t.geoBonneRaw=$,t.geoBottomley=function(){var t=.5,r=e.geoProjectionMutator(tt),n=r(t);return n.fraction=function(e){return arguments.length?r(t=+e):t},n.scale(158.837)},t.geoBottomleyRaw=tt,t.geoBromley=function(){return e.geoProjection(et).scale(152.63)},t.geoBromleyRaw=et,t.geoChamberlin=st,t.geoChamberlinRaw=at,t.geoChamberlinAfrica=function(){return st([0,22],[45,22],[22.5,-22]).scale(380).center([22.5,2])},t.geoCollignon=function(){return e.geoProjection(lt).scale(95.6464).center([0,30])},t.geoCollignonRaw=lt,t.geoCraig=function(){return K(ct).scale(249.828).clipAngle(90)},t.geoCraigRaw=ct,t.geoCraster=function(){return e.geoProjection(ft).scale(156.19)},t.geoCrasterRaw=ft,t.geoCylindricalEqualArea=function(){return K(ht).parallel(38.58).scale(195.044)},t.geoCylindricalEqualAreaRaw=ht,t.geoCylindricalStereographic=function(){return K(pt).scale(124.75)},t.geoCylindricalStereographicRaw=pt,t.geoEckert1=function(){return e.geoProjection(dt).scale(165.664)},t.geoEckert1Raw=dt,t.geoEckert2=function(){return e.geoProjection(mt).scale(165.664)},t.geoEckert2Raw=mt,t.geoEckert3=function(){return e.geoProjection(gt).scale(180.739)},t.geoEckert3Raw=gt,t.geoEckert4=function(){return e.geoProjection(vt).scale(180.739)},t.geoEckert4Raw=vt,t.geoEckert5=function(){return e.geoProjection(yt).scale(173.044)},t.geoEckert5Raw=yt,t.geoEckert6=function(){return e.geoProjection(xt).scale(173.044)},t.geoEckert6Raw=xt,t.geoEisenlohr=function(){return e.geoProjection(_t).scale(62.5271)},t.geoEisenlohrRaw=_t,t.geoFahey=function(){return e.geoProjection(Tt).scale(137.152)},t.geoFaheyRaw=Tt,t.geoFoucaut=function(){return e.geoProjection(kt).scale(135.264)},t.geoFoucautRaw=kt,t.geoFoucautSinusoidal=function(){var t=.5,r=e.geoProjectionMutator(At),n=r(t);return n.alpha=function(e){return arguments.length?r(t=+e):t},n.scale(168.725)},t.geoFoucautSinusoidalRaw=At,t.geoGilbert=function(t){null==t&&(t=e.geoOrthographic);var r=t(),n=e.geoEquirectangular().scale(A).precision(0).clipAngle(null).translate([0,0]);function i(t){return r(Mt(t))}function a(t){i[t]=function(){return arguments.length?(r[t].apply(r,arguments),i):r[t]()}}return r.invert&&(i.invert=function(t){return St(r.invert(t))}),i.stream=function(t){var e=r.stream(t),i=n.stream({point:function(t,r){e.point(t/2,S(g(-r/2*M))*A)},lineStart:function(){e.lineStart()},lineEnd:function(){e.lineEnd()},polygonStart:function(){e.polygonStart()},polygonEnd:function(){e.polygonEnd()}});return i.sphere=e.sphere,i},i.rotate=function(t){return arguments.length?(n.rotate(t),i):n.rotate()},i.center=function(t){return arguments.length?(r.center(Mt(t)),i):St(r.center())},a("angle"),a("clipAngle"),a("clipExtent"),a("fitExtent"),a("fitHeight"),a("fitSize"),a("fitWidth"),a("scale"),a("translate"),a("precision"),i.scale(249.5)},t.geoGingery=function(){var t=6,r=30*M,n=o(r),i=m(r),s=e.geoProjectionMutator(Et),l=s(r,t),c=l.stream,u=-o(.01*M),f=m(.01*M);return l.radius=function(e){return arguments.length?(n=o(r=e*M),i=m(r),s(r,t)):r*A},l.lobes=function(e){return arguments.length?s(r,t=+e):t},l.stream=function(e){var r=l.rotate(),s=c(e),h=(l.rotate([0,0]),c(e));return l.rotate(r),s.sphere=function(){h.polygonStart(),h.lineStart();for(var e=0,r=2*y/t,s=0;e<t;++e,s-=r)h.point(a(f*o(s),u)*A,S(f*m(s))*A),h.point(a(i*o(s-r/2),n)*A,S(i*m(s-r/2))*A);h.lineEnd(),h.polygonEnd()},s},l.rotate([90,-40]).scale(91.7095).clipAngle(179.999)},t.geoGingeryRaw=Et,t.geoGinzburg4=function(){return e.geoProjection(It).scale(149.995)},t.geoGinzburg4Raw=It,t.geoGinzburg5=function(){return e.geoProjection(Ot).scale(153.93)},t.geoGinzburg5Raw=Ot,t.geoGinzburg6=function(){return e.geoProjection(zt).scale(130.945)},t.geoGinzburg6Raw=zt,t.geoGinzburg8=function(){return e.geoProjection(Dt).scale(131.747)},t.geoGinzburg8Raw=Dt,t.geoGinzburg9=function(){return e.geoProjection(Rt).scale(131.087)},t.geoGinzburg9Raw=Rt,t.geoGringorten=function(){return e.geoProjection(Ft(Bt)).scale(239.75)},t.geoGringortenRaw=Bt,t.geoGuyou=function(){return e.geoProjection(Ft(Ut)).scale(151.496)},t.geoGuyouRaw=Ut,t.geoHammer=function(){var t=2,r=e.geoProjectionMutator(j),n=r(t);return n.coefficient=function(e){return arguments.length?r(t=+e):t},n.scale(169.529)},t.geoHammerRaw=j,t.geoHammerRetroazimuthal=function(){var t=0,r=e.geoProjectionMutator(Vt),n=r(t),i=n.rotate,a=n.stream,o=e.geoCircle();return n.parallel=function(e){if(!arguments.length)return t*A;var i=n.rotate();return r(t=e*M).rotate(i)},n.rotate=function(e){return arguments.length?(i.call(n,[e[0],e[1]-t*A]),o.center([-e[0],-e[1]]),n):((e=i.call(n))[1]+=t*A,e)},n.stream=function(t){return(t=a(t)).sphere=function(){t.polygonStart();var e,r=o.radius(89.99)().coordinates[0],n=r.length-1,i=-1;for(t.lineStart();++i<n;)t.point((e=r[i])[0],e[1]);for(t.lineEnd(),n=(r=o.radius(90.01)().coordinates[0]).length-1,t.lineStart();--i>=0;)t.point((e=r[i])[0],e[1]);t.lineEnd(),t.polygonEnd()},t},n.scale(79.4187).parallel(45).clipAngle(179.999)},t.geoHammerRetroazimuthalRaw=Vt,t.geoHealpix=function(){var t=4,n=e.geoProjectionMutator(Yt),i=n(t),a=i.stream;return i.lobes=function(e){return arguments.length?n(t=+e):t},i.stream=function(n){var o=i.rotate(),s=a(n),l=(i.rotate([0,0]),a(n));return i.rotate(o),s.sphere=function(){var n,i;e.geoStream((n=180/t,i=[].concat(r.range(-180,180+n/2,n).map(Wt),r.range(180,-180-n/2,-n).map(Xt)),{type:"Polygon",coordinates:[180===n?i.map(Zt):i]}),l)},s},i.scale(239.75)},t.geoHealpixRaw=Yt,t.geoHill=function(){var t=1,r=e.geoProjectionMutator(Jt),n=r(t);return n.ratio=function(e){return arguments.length?r(t=+e):t},n.scale(167.774).center([0,18.67])},t.geoHillRaw=Jt,t.geoHomolosine=function(){return e.geoProjection(Qt).scale(152.63)},t.geoHomolosineRaw=Qt,t.geoHufnagel=function(){var t=1,r=0,n=45*M,i=2,a=e.geoProjectionMutator($t),o=a(t,r,n,i);return o.a=function(e){return arguments.length?a(t=+e,r,n,i):t},o.b=function(e){return arguments.length?a(t,r=+e,n,i):r},o.psiMax=function(e){return arguments.length?a(t,r,n=+e*M,i):n*A},o.ratio=function(e){return arguments.length?a(t,r,n,i=+e):i},o.scale(180.739)},t.geoHufnagelRaw=$t,t.geoHyperelliptical=function(){var t=0,r=2.5,n=1.183136,i=e.geoProjectionMutator(ee),a=i(t,r,n);return a.alpha=function(e){return arguments.length?i(t=+e,r,n):t},a.k=function(e){return arguments.length?i(t,r=+e,n):r},a.gamma=function(e){return arguments.length?i(t,r,n=+e):n},a.scale(152.63)},t.geoHyperellipticalRaw=ee,t.geoInterrupt=ae,t.geoInterruptedBoggs=function(){return ae(J,oe).scale(160.857)},t.geoInterruptedHomolosine=function(){return ae(Qt,se).scale(152.63)},t.geoInterruptedMollweide=function(){return ae(W,le).scale(169.529)},t.geoInterruptedMollweideHemispheres=function(){return ae(W,ce).scale(169.529).rotate([20,0])},t.geoInterruptedSinuMollweide=function(){return ae(Kt,ue,H).rotate([-20,-55]).scale(164.263).center([0,-5.4036])},t.geoInterruptedSinusoidal=function(){return ae(Q,fe).scale(152.63).rotate([-20,0])},t.geoKavrayskiy7=function(){return e.geoProjection(he).scale(158.837)},t.geoKavrayskiy7Raw=he,t.geoLagrange=function(){var t=.5,r=e.geoProjectionMutator(pe),n=r(t);return n.spacing=function(e){return arguments.length?r(t=+e):t},n.scale(124.75)},t.geoLagrangeRaw=pe,t.geoLarrivee=function(){return e.geoProjection(me).scale(97.2672)},t.geoLarriveeRaw=me,t.geoLaskowski=function(){return e.geoProjection(ge).scale(139.98)},t.geoLaskowskiRaw=ge,t.geoLittrow=function(){return e.geoProjection(ve).scale(144.049).clipAngle(89.999)},t.geoLittrowRaw=ve,t.geoLoximuthal=function(){return K(ye).parallel(40).scale(158.837)},t.geoLoximuthalRaw=ye,t.geoMiller=function(){return e.geoProjection(xe).scale(108.318)},t.geoMillerRaw=xe,t.geoModifiedStereographic=Me,t.geoModifiedStereographicRaw=be,t.geoModifiedStereographicAlaska=function(){return Me(_e,[152,-64]).scale(1400).center([-160.908,62.4864]).clipAngle(30).angle(7.8)},t.geoModifiedStereographicGs48=function(){return Me(we,[95,-38]).scale(1e3).clipAngle(55).center([-96.5563,38.8675])},t.geoModifiedStereographicGs50=function(){return Me(Te,[120,-45]).scale(359.513).clipAngle(55).center([-117.474,53.0628])},t.geoModifiedStereographicMiller=function(){return Me(ke,[-20,-18]).scale(209.091).center([20,16.7214]).clipAngle(82)},t.geoModifiedStereographicLee=function(){return Me(Ae,[165,10]).scale(250).clipAngle(130).center([-165,-10])},t.geoMollweide=function(){return e.geoProjection(W).scale(169.529)},t.geoMollweideRaw=W,t.geoMtFlatPolarParabolic=function(){return e.geoProjection(Le).scale(164.859)},t.geoMtFlatPolarParabolicRaw=Le,t.geoMtFlatPolarQuartic=function(){return e.geoProjection(Ce).scale(188.209)},t.geoMtFlatPolarQuarticRaw=Ce,t.geoMtFlatPolarSinusoidal=function(){return e.geoProjection(Pe).scale(166.518)},t.geoMtFlatPolarSinusoidalRaw=Pe,t.geoNaturalEarth2=function(){return e.geoProjection(Ie).scale(175.295)},t.geoNaturalEarth2Raw=Ie,t.geoNellHammer=function(){return e.geoProjection(Oe).scale(152.63)},t.geoNellHammerRaw=Oe,t.geoInterruptedQuarticAuthalic=function(){return ae(j(1/0),ze).rotate([20,0]).scale(152.63)},t.geoNicolosi=function(){return e.geoProjection(De).scale(127.267)},t.geoNicolosiRaw=De,t.geoPatterson=function(){return e.geoProjection(Re).scale(139.319)},t.geoPattersonRaw=Re,t.geoPolyconic=function(){return e.geoProjection(Fe).scale(103.74)},t.geoPolyconicRaw=Fe,t.geoPolyhedral=Ve,t.geoPolyhedralButterfly=function(t){t=t||function(t){var r=e.geoCentroid({type:"MultiPoint",coordinates:t});return e.geoGnomonic().scale(1).translate([0,0]).rotate([-r[0],-r[1]])};var r=Ye.map((function(e){return{face:e,project:t(e)}}));return[-1,0,0,1,0,1,4,5].forEach((function(t,e){var n=r[t];n&&(n.children||(n.children=[])).push(r[e])})),Ve(r[0],(function(t,e){return r[t<-y/2?e<0?6:4:t<0?e<0?2:0:t<y/2?e<0?3:1:e<0?7:5]})).angle(-30).scale(101.858).center([0,45])},t.geoPolyhedralCollignon=function(t){t=t||function(t){var r=e.geoCentroid({type:"MultiPoint",coordinates:t});return e.geoProjection(Xe).translate([0,0]).scale(1).rotate(r[1]>0?[-r[0],0]:[180-r[0],180])};var r=Ye.map((function(e){return{face:e,project:t(e)}}));return[-1,0,0,1,0,1,4,5].forEach((function(t,e){var n=r[t];n&&(n.children||(n.children=[])).push(r[e])})),Ve(r[0],(function(t,e){return r[t<-y/2?e<0?6:4:t<0?e<0?2:0:t<y/2?e<0?3:1:e<0?7:5]})).angle(-30).scale(121.906).center([0,48.5904])},t.geoPolyhedralWaterman=function(t){t=t||function(t){var r=6===t.length?e.geoCentroid({type:"MultiPoint",coordinates:t}):t[0];return e.geoGnomonic().scale(1).translate([0,0]).rotate([-r[0],-r[1]])};var r=Ye.map((function(t){for(var e,r=t.map(Ke),n=r.length,i=r[n-1],a=[],o=0;o<n;++o)e=r[o],a.push(Je([.9486832980505138*i[0]+.31622776601683794*e[0],.9486832980505138*i[1]+.31622776601683794*e[1],.9486832980505138*i[2]+.31622776601683794*e[2]]),Je([.9486832980505138*e[0]+.31622776601683794*i[0],.9486832980505138*e[1]+.31622776601683794*i[1],.9486832980505138*e[2]+.31622776601683794*i[2]])),i=e;return a})),n=[],i=[-1,0,0,1,0,1,4,5];r.forEach((function(t,e){for(var a,o,s=Ye[e],l=s.length,c=n[e]=[],u=0;u<l;++u)r.push([s[u],t[(2*u+2)%(2*l)],t[(2*u+1)%(2*l)]]),i.push(e),c.push((a=Ke(t[(2*u+2)%(2*l)]),o=Ke(t[(2*u+1)%(2*l)]),[a[1]*o[2]-a[2]*o[1],a[2]*o[0]-a[0]*o[2],a[0]*o[1]-a[1]*o[0]]))}));var a=r.map((function(e){return{project:t(e),face:e}}));return i.forEach((function(t,e){var r=a[t];r&&(r.children||(r.children=[])).push(a[e])})),Ve(a[0],(function(t,e){var r=o(e),i=[r*o(t),r*m(t),m(e)],s=t<-y/2?e<0?6:4:t<0?e<0?2:0:t<y/2?e<0?3:1:e<0?7:5,l=n[s];return a[Ze(l[0],i)<0?8+3*s:Ze(l[1],i)<0?8+3*s+1:Ze(l[2],i)<0?8+3*s+2:s]})).angle(-30).scale(110.625).center([0,45])},t.geoProject=function(t,e){var r,n=e.stream;if(!n)throw new Error("invalid projection");switch(t&&t.type){case"Feature":r=tr;break;case"FeatureCollection":r=$e;break;default:r=er}return r(t,n)},t.geoGringortenQuincuncial=function(){return sr(Bt).scale(176.423)},t.geoPeirceQuincuncial=lr,t.geoPierceQuincuncial=lr,t.geoQuantize=function(t,e){if(!(0<=(e=+e)&&e<=20))throw new Error("invalid digits");function r(t){var r=t.length,n=2,i=new Array(r);for(i[0]=+t[0].toFixed(e),i[1]=+t[1].toFixed(e);n<r;)i[n]=t[n],++n;return i}function n(t){return t.map(r)}function i(t){for(var e=r(t[0]),n=[e],i=1;i<t.length;i++){var a=r(t[i]);(a.length>2||a[0]!=e[0]||a[1]!=e[1])&&(n.push(a),e=a)}return 1===n.length&&t.length>1&&n.push(r(t[t.length-1])),n}function a(t){return t.map(i)}function o(t){if(null==t)return t;var e;switch(t.type){case"GeometryCollection":e={type:"GeometryCollection",geometries:t.geometries.map(o)};break;case"Point":e={type:"Point",coordinates:r(t.coordinates)};break;case"MultiPoint":e={type:t.type,coordinates:n(t.coordinates)};break;case"LineString":e={type:t.type,coordinates:i(t.coordinates)};break;case"MultiLineString":case"Polygon":e={type:t.type,coordinates:a(t.coordinates)};break;case"MultiPolygon":e={type:"MultiPolygon",coordinates:t.coordinates.map(a)};break;default:return t}return null!=t.bbox&&(e.bbox=t.bbox),e}function s(t){var e={type:"Feature",properties:t.properties,geometry:o(t.geometry)};return null!=t.id&&(e.id=t.id),null!=t.bbox&&(e.bbox=t.bbox),e}if(null!=t)switch(t.type){case"Feature":return s(t);case"FeatureCollection":var l={type:"FeatureCollection",features:t.features.map(s)};return null!=t.bbox&&(l.bbox=t.bbox),l;default:return o(t)}return t},t.geoQuincuncial=sr,t.geoRectangularPolyconic=function(){return K(cr).scale(131.215)},t.geoRectangularPolyconicRaw=cr,t.geoRobinson=function(){return e.geoProjection(fr).scale(152.63)},t.geoRobinsonRaw=fr,t.geoSatellite=function(){var t=2,r=0,n=e.geoProjectionMutator(hr),i=n(t,r);return i.distance=function(e){return arguments.length?n(t=+e,r):t},i.tilt=function(e){return arguments.length?n(t,r=e*M):r*A},i.scale(432.147).clipAngle(E(1/t)*A-1e-6)},t.geoSatelliteRaw=hr,t.geoSinuMollweide=function(){return e.geoProjection(Kt).rotate([-20,-55]).scale(164.263).center([0,-5.4036])},t.geoSinuMollweideRaw=Kt,t.geoSinusoidal=function(){return e.geoProjection(Q).scale(152.63)},t.geoSinusoidalRaw=Q,t.geoStitch=function(t){if(null==t)return t;switch(t.type){case"Feature":return wr(t);case"FeatureCollection":var e={type:"FeatureCollection",features:t.features.map(wr)};return null!=t.bbox&&(e.bbox=t.bbox),e;default:return Tr(t)}},t.geoTimes=function(){return e.geoProjection(kr).scale(146.153)},t.geoTimesRaw=kr,t.geoTwoPointAzimuthal=Sr,t.geoTwoPointAzimuthalRaw=Mr,t.geoTwoPointAzimuthalUsa=function(){return Sr([-158,21.5],[-77,39]).clipAngle(60).scale(400)},t.geoTwoPointEquidistant=Lr,t.geoTwoPointEquidistantRaw=Er,t.geoTwoPointEquidistantUsa=function(){return Lr([-158,21.5],[-77,39]).clipAngle(130).scale(122.571)},t.geoVanDerGrinten=function(){return e.geoProjection(Cr).scale(79.4183)},t.geoVanDerGrintenRaw=Cr,t.geoVanDerGrinten2=function(){return e.geoProjection(Pr).scale(79.4183)},t.geoVanDerGrinten2Raw=Pr,t.geoVanDerGrinten3=function(){return e.geoProjection(Ir).scale(79.4183)},t.geoVanDerGrinten3Raw=Ir,t.geoVanDerGrinten4=function(){return e.geoProjection(Or).scale(127.16)},t.geoVanDerGrinten4Raw=Or,t.geoWagner=Dr,t.geoWagner7=function(){return Dr().poleline(65).parallels(60).inflation(0).ratio(200).scale(172.633)},t.geoWagnerRaw=zr,t.geoWagner4=function(){return e.geoProjection(Br).scale(176.84)},t.geoWagner4Raw=Br,t.geoWagner6=function(){return e.geoProjection(Nr).scale(152.63)},t.geoWagner6Raw=Nr,t.geoWiechel=function(){return e.geoProjection(jr).rotate([0,-90,45]).scale(124.75).clipAngle(179.999)},t.geoWiechelRaw=jr,t.geoWinkel3=function(){return e.geoProjection(Ur).scale(158.837)},t.geoWinkel3Raw=Ur,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-array":102,"d3-geo":109}],109:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-array")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(){return new n}function n(){this.reset()}n.prototype={constructor:n,reset:function(){this.s=this.t=0},add:function(t){a(i,t,this.t),a(this,i.s,this.s),this.s?this.t+=i.t:this.s=i.t},valueOf:function(){return this.s}};var i=new n;function a(t,e,r){var n=t.s=e+r,i=n-e,a=n-i;t.t=e-a+(r-i)}var o=1e-6,s=Math.PI,l=s/2,c=s/4,u=2*s,f=180/s,h=s/180,p=Math.abs,d=Math.atan,m=Math.atan2,g=Math.cos,v=Math.ceil,y=Math.exp,x=Math.log,b=Math.pow,_=Math.sin,w=Math.sign||function(t){return t>0?1:t<0?-1:0},T=Math.sqrt,k=Math.tan;function A(t){return t>1?0:t<-1?s:Math.acos(t)}function M(t){return t>1?l:t<-1?-l:Math.asin(t)}function S(t){return(t=_(t/2))*t}function E(){}function L(t,e){t&&P.hasOwnProperty(t.type)&&P[t.type](t,e)}var C={Feature:function(t,e){L(t.geometry,e)},FeatureCollection:function(t,e){for(var r=t.features,n=-1,i=r.length;++n<i;)L(r[n].geometry,e)}},P={Sphere:function(t,e){e.sphere()},Point:function(t,e){t=t.coordinates,e.point(t[0],t[1],t[2])},MultiPoint:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)t=r[n],e.point(t[0],t[1],t[2])},LineString:function(t,e){I(t.coordinates,e,0)},MultiLineString:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)I(r[n],e,0)},Polygon:function(t,e){O(t.coordinates,e)},MultiPolygon:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)O(r[n],e)},GeometryCollection:function(t,e){for(var r=t.geometries,n=-1,i=r.length;++n<i;)L(r[n],e)}};function I(t,e,r){var n,i=-1,a=t.length-r;for(e.lineStart();++i<a;)n=t[i],e.point(n[0],n[1],n[2]);e.lineEnd()}function O(t,e){var r=-1,n=t.length;for(e.polygonStart();++r<n;)I(t[r],e,1);e.polygonEnd()}function z(t,e){t&&C.hasOwnProperty(t.type)?C[t.type](t,e):L(t,e)}var D,R,F,B,N,j=r(),U=r(),V={point:E,lineStart:E,lineEnd:E,polygonStart:function(){j.reset(),V.lineStart=H,V.lineEnd=q},polygonEnd:function(){var t=+j;U.add(t<0?u+t:t),this.lineStart=this.lineEnd=this.point=E},sphere:function(){U.add(u)}};function H(){V.point=G}function q(){Y(D,R)}function G(t,e){V.point=Y,D=t,R=e,F=t*=h,B=g(e=(e*=h)/2+c),N=_(e)}function Y(t,e){var r=(t*=h)-F,n=r>=0?1:-1,i=n*r,a=g(e=(e*=h)/2+c),o=_(e),s=N*o,l=B*a+s*g(i),u=s*n*_(i);j.add(m(u,l)),F=t,B=a,N=o}function W(t){return[m(t[1],t[0]),M(t[2])]}function X(t){var e=t[0],r=t[1],n=g(r);return[n*g(e),n*_(e),_(r)]}function Z(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]}function J(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}function K(t,e){t[0]+=e[0],t[1]+=e[1],t[2]+=e[2]}function Q(t,e){return[t[0]*e,t[1]*e,t[2]*e]}function $(t){var e=T(t[0]*t[0]+t[1]*t[1]+t[2]*t[2]);t[0]/=e,t[1]/=e,t[2]/=e}var tt,et,rt,nt,it,at,ot,st,lt,ct,ut,ft,ht,pt,dt,mt,gt,vt,yt,xt,bt,_t,wt,Tt,kt,At,Mt=r(),St={point:Et,lineStart:Ct,lineEnd:Pt,polygonStart:function(){St.point=It,St.lineStart=Ot,St.lineEnd=zt,Mt.reset(),V.polygonStart()},polygonEnd:function(){V.polygonEnd(),St.point=Et,St.lineStart=Ct,St.lineEnd=Pt,j<0?(tt=-(rt=180),et=-(nt=90)):Mt>o?nt=90:Mt<-o&&(et=-90),ct[0]=tt,ct[1]=rt},sphere:function(){tt=-(rt=180),et=-(nt=90)}};function Et(t,e){lt.push(ct=[tt=t,rt=t]),e<et&&(et=e),e>nt&&(nt=e)}function Lt(t,e){var r=X([t*h,e*h]);if(st){var n=J(st,r),i=J([n[1],-n[0],0],n);$(i),i=W(i);var a,o=t-it,s=o>0?1:-1,l=i[0]*f*s,c=p(o)>180;c^(s*it<l&&l<s*t)?(a=i[1]*f)>nt&&(nt=a):c^(s*it<(l=(l+360)%360-180)&&l<s*t)?(a=-i[1]*f)<et&&(et=a):(e<et&&(et=e),e>nt&&(nt=e)),c?t<it?Dt(tt,t)>Dt(tt,rt)&&(rt=t):Dt(t,rt)>Dt(tt,rt)&&(tt=t):rt>=tt?(t<tt&&(tt=t),t>rt&&(rt=t)):t>it?Dt(tt,t)>Dt(tt,rt)&&(rt=t):Dt(t,rt)>Dt(tt,rt)&&(tt=t)}else lt.push(ct=[tt=t,rt=t]);e<et&&(et=e),e>nt&&(nt=e),st=r,it=t}function Ct(){St.point=Lt}function Pt(){ct[0]=tt,ct[1]=rt,St.point=Et,st=null}function It(t,e){if(st){var r=t-it;Mt.add(p(r)>180?r+(r>0?360:-360):r)}else at=t,ot=e;V.point(t,e),Lt(t,e)}function Ot(){V.lineStart()}function zt(){It(at,ot),V.lineEnd(),p(Mt)>o&&(tt=-(rt=180)),ct[0]=tt,ct[1]=rt,st=null}function Dt(t,e){return(e-=t)<0?e+360:e}function Rt(t,e){return t[0]-e[0]}function Ft(t,e){return t[0]<=t[1]?t[0]<=e&&e<=t[1]:e<t[0]||t[1]<e}var Bt={sphere:E,point:Nt,lineStart:Ut,lineEnd:qt,polygonStart:function(){Bt.lineStart=Gt,Bt.lineEnd=Yt},polygonEnd:function(){Bt.lineStart=Ut,Bt.lineEnd=qt}};function Nt(t,e){t*=h;var r=g(e*=h);jt(r*g(t),r*_(t),_(e))}function jt(t,e,r){++ut,ht+=(t-ht)/ut,pt+=(e-pt)/ut,dt+=(r-dt)/ut}function Ut(){Bt.point=Vt}function Vt(t,e){t*=h;var r=g(e*=h);Tt=r*g(t),kt=r*_(t),At=_(e),Bt.point=Ht,jt(Tt,kt,At)}function Ht(t,e){t*=h;var r=g(e*=h),n=r*g(t),i=r*_(t),a=_(e),o=m(T((o=kt*a-At*i)*o+(o=At*n-Tt*a)*o+(o=Tt*i-kt*n)*o),Tt*n+kt*i+At*a);ft+=o,mt+=o*(Tt+(Tt=n)),gt+=o*(kt+(kt=i)),vt+=o*(At+(At=a)),jt(Tt,kt,At)}function qt(){Bt.point=Nt}function Gt(){Bt.point=Wt}function Yt(){Xt(_t,wt),Bt.point=Nt}function Wt(t,e){_t=t,wt=e,t*=h,e*=h,Bt.point=Xt;var r=g(e);Tt=r*g(t),kt=r*_(t),At=_(e),jt(Tt,kt,At)}function Xt(t,e){t*=h;var r=g(e*=h),n=r*g(t),i=r*_(t),a=_(e),o=kt*a-At*i,s=At*n-Tt*a,l=Tt*i-kt*n,c=T(o*o+s*s+l*l),u=M(c),f=c&&-u/c;yt+=f*o,xt+=f*s,bt+=f*l,ft+=u,mt+=u*(Tt+(Tt=n)),gt+=u*(kt+(kt=i)),vt+=u*(At+(At=a)),jt(Tt,kt,At)}function Zt(t){return function(){return t}}function Jt(t,e){function r(r,n){return r=t(r,n),e(r[0],r[1])}return t.invert&&e.invert&&(r.invert=function(r,n){return(r=e.invert(r,n))&&t.invert(r[0],r[1])}),r}function Kt(t,e){return[p(t)>s?t+Math.round(-t/u)*u:t,e]}function Qt(t,e,r){return(t%=u)?e||r?Jt(te(t),ee(e,r)):te(t):e||r?ee(e,r):Kt}function $t(t){return function(e,r){return[(e+=t)>s?e-u:e<-s?e+u:e,r]}}function te(t){var e=$t(t);return e.invert=$t(-t),e}function ee(t,e){var r=g(t),n=_(t),i=g(e),a=_(e);function o(t,e){var o=g(e),s=g(t)*o,l=_(t)*o,c=_(e),u=c*r+s*n;return[m(l*i-u*a,s*r-c*n),M(u*i+l*a)]}return o.invert=function(t,e){var o=g(e),s=g(t)*o,l=_(t)*o,c=_(e),u=c*i-l*a;return[m(l*i+c*a,s*r+u*n),M(u*r-s*n)]},o}function re(t){function e(e){return(e=t(e[0]*h,e[1]*h))[0]*=f,e[1]*=f,e}return t=Qt(t[0]*h,t[1]*h,t.length>2?t[2]*h:0),e.invert=function(e){return(e=t.invert(e[0]*h,e[1]*h))[0]*=f,e[1]*=f,e},e}function ne(t,e,r,n,i,a){if(r){var o=g(e),s=_(e),l=n*r;null==i?(i=e+n*u,a=e-l/2):(i=ie(o,i),a=ie(o,a),(n>0?i<a:i>a)&&(i+=n*u));for(var c,f=i;n>0?f>a:f<a;f-=l)c=W([o,-s*g(f),-s*_(f)]),t.point(c[0],c[1])}}function ie(t,e){(e=X(e))[0]-=t,$(e);var r=A(-e[1]);return((-e[2]<0?-r:r)+u-o)%u}function ae(){var t,e=[];return{point:function(e,r,n){t.push([e,r,n])},lineStart:function(){e.push(t=[])},lineEnd:E,rejoin:function(){e.length>1&&e.push(e.pop().concat(e.shift()))},result:function(){var r=e;return e=[],t=null,r}}}function oe(t,e){return p(t[0]-e[0])<o&&p(t[1]-e[1])<o}function se(t,e,r,n){this.x=t,this.z=e,this.o=r,this.e=n,this.v=!1,this.n=this.p=null}function le(t,e,r,n,i){var a,s,l=[],c=[];if(t.forEach((function(t){if(!((e=t.length-1)<=0)){var e,r,n=t[0],s=t[e];if(oe(n,s)){if(!n[2]&&!s[2]){for(i.lineStart(),a=0;a<e;++a)i.point((n=t[a])[0],n[1]);return void i.lineEnd()}s[0]+=2*o}l.push(r=new se(n,t,null,!0)),c.push(r.o=new se(n,null,r,!1)),l.push(r=new se(s,t,null,!1)),c.push(r.o=new se(s,null,r,!0))}})),l.length){for(c.sort(e),ce(l),ce(c),a=0,s=c.length;a<s;++a)c[a].e=r=!r;for(var u,f,h=l[0];;){for(var p=h,d=!0;p.v;)if((p=p.n)===h)return;u=p.z,i.lineStart();do{if(p.v=p.o.v=!0,p.e){if(d)for(a=0,s=u.length;a<s;++a)i.point((f=u[a])[0],f[1]);else n(p.x,p.n.x,1,i);p=p.n}else{if(d)for(u=p.p.z,a=u.length-1;a>=0;--a)i.point((f=u[a])[0],f[1]);else n(p.x,p.p.x,-1,i);p=p.p}u=(p=p.o).z,d=!d}while(!p.v);i.lineEnd()}}}function ce(t){if(e=t.length){for(var e,r,n=0,i=t[0];++n<e;)i.n=r=t[n],r.p=i,i=r;i.n=r=t[0],r.p=i}}Kt.invert=Kt;var ue=r();function fe(t){return p(t[0])<=s?t[0]:w(t[0])*((p(t[0])+s)%u-s)}function he(t,e){var r=fe(e),n=e[1],i=_(n),a=[_(r),-g(r),0],f=0,h=0;ue.reset(),1===i?n=l+o:-1===i&&(n=-l-o);for(var p=0,d=t.length;p<d;++p)if(y=(v=t[p]).length)for(var v,y,x=v[y-1],b=fe(x),w=x[1]/2+c,T=_(w),k=g(w),A=0;A<y;++A,b=E,T=C,k=P,x=S){var S=v[A],E=fe(S),L=S[1]/2+c,C=_(L),P=g(L),I=E-b,O=I>=0?1:-1,z=O*I,D=z>s,R=T*C;if(ue.add(m(R*O*_(z),k*P+R*g(z))),f+=D?I+O*u:I,D^b>=r^E>=r){var F=J(X(x),X(S));$(F);var B=J(a,F);$(B);var N=(D^I>=0?-1:1)*M(B[2]);(n>N||n===N&&(F[0]||F[1]))&&(h+=D^I>=0?1:-1)}}return(f<-o||f<o&&ue<-o)^1&h}function pe(t,r,n,i){return function(a){var o,s,l,c=r(a),u=ae(),f=r(u),h=!1,p={point:d,lineStart:g,lineEnd:v,polygonStart:function(){p.point=y,p.lineStart=x,p.lineEnd=b,s=[],o=[]},polygonEnd:function(){p.point=d,p.lineStart=g,p.lineEnd=v,s=e.merge(s);var t=he(o,i);s.length?(h||(a.polygonStart(),h=!0),le(s,me,t,n,a)):t&&(h||(a.polygonStart(),h=!0),a.lineStart(),n(null,null,1,a),a.lineEnd()),h&&(a.polygonEnd(),h=!1),s=o=null},sphere:function(){a.polygonStart(),a.lineStart(),n(null,null,1,a),a.lineEnd(),a.polygonEnd()}};function d(e,r){t(e,r)&&a.point(e,r)}function m(t,e){c.point(t,e)}function g(){p.point=m,c.lineStart()}function v(){p.point=d,c.lineEnd()}function y(t,e){l.push([t,e]),f.point(t,e)}function x(){f.lineStart(),l=[]}function b(){y(l[0][0],l[0][1]),f.lineEnd();var t,e,r,n,i=f.clean(),c=u.result(),p=c.length;if(l.pop(),o.push(l),l=null,p)if(1&i){if((e=(r=c[0]).length-1)>0){for(h||(a.polygonStart(),h=!0),a.lineStart(),t=0;t<e;++t)a.point((n=r[t])[0],n[1]);a.lineEnd()}}else p>1&&2&i&&c.push(c.pop().concat(c.shift())),s.push(c.filter(de))}return p}}function de(t){return t.length>1}function me(t,e){return((t=t.x)[0]<0?t[1]-l-o:l-t[1])-((e=e.x)[0]<0?e[1]-l-o:l-e[1])}var ge=pe((function(){return!0}),(function(t){var e,r=NaN,n=NaN,i=NaN;return{lineStart:function(){t.lineStart(),e=1},point:function(a,c){var u=a>0?s:-s,f=p(a-r);p(f-s)<o?(t.point(r,n=(n+c)/2>0?l:-l),t.point(i,n),t.lineEnd(),t.lineStart(),t.point(u,n),t.point(a,n),e=0):i!==u&&f>=s&&(p(r-i)<o&&(r-=i*o),p(a-u)<o&&(a-=u*o),n=function(t,e,r,n){var i,a,s=_(t-r);return p(s)>o?d((_(e)*(a=g(n))*_(r)-_(n)*(i=g(e))*_(t))/(i*a*s)):(e+n)/2}(r,n,a,c),t.point(i,n),t.lineEnd(),t.lineStart(),t.point(u,n),e=0),t.point(r=a,n=c),i=u},lineEnd:function(){t.lineEnd(),r=n=NaN},clean:function(){return 2-e}}}),(function(t,e,r,n){var i;if(null==t)i=r*l,n.point(-s,i),n.point(0,i),n.point(s,i),n.point(s,0),n.point(s,-i),n.point(0,-i),n.point(-s,-i),n.point(-s,0),n.point(-s,i);else if(p(t[0]-e[0])>o){var a=t[0]<e[0]?s:-s;i=r*a/2,n.point(-a,i),n.point(0,i),n.point(a,i)}else n.point(e[0],e[1])}),[-s,-l]);function ve(t){var e=g(t),r=6*h,n=e>0,i=p(e)>o;function a(t,r){return g(t)*g(r)>e}function l(t,r,n){var i=[1,0,0],a=J(X(t),X(r)),l=Z(a,a),c=a[0],u=l-c*c;if(!u)return!n&&t;var f=e*l/u,h=-e*c/u,d=J(i,a),m=Q(i,f);K(m,Q(a,h));var g=d,v=Z(m,g),y=Z(g,g),x=v*v-y*(Z(m,m)-1);if(!(x<0)){var b=T(x),_=Q(g,(-v-b)/y);if(K(_,m),_=W(_),!n)return _;var w,k=t[0],A=r[0],M=t[1],S=r[1];A<k&&(w=k,k=A,A=w);var E=A-k,L=p(E-s)<o;if(!L&&S<M&&(w=M,M=S,S=w),L||E<o?L?M+S>0^_[1]<(p(_[0]-k)<o?M:S):M<=_[1]&&_[1]<=S:E>s^(k<=_[0]&&_[0]<=A)){var C=Q(g,(-v+b)/y);return K(C,m),[_,W(C)]}}}function c(e,r){var i=n?t:s-t,a=0;return e<-i?a|=1:e>i&&(a|=2),r<-i?a|=4:r>i&&(a|=8),a}return pe(a,(function(t){var e,r,o,u,f;return{lineStart:function(){u=o=!1,f=1},point:function(h,p){var d,m=[h,p],g=a(h,p),v=n?g?0:c(h,p):g?c(h+(h<0?s:-s),p):0;if(!e&&(u=o=g)&&t.lineStart(),g!==o&&(!(d=l(e,m))||oe(e,d)||oe(m,d))&&(m[2]=1),g!==o)f=0,g?(t.lineStart(),d=l(m,e),t.point(d[0],d[1])):(d=l(e,m),t.point(d[0],d[1],2),t.lineEnd()),e=d;else if(i&&e&&n^g){var y;v&r||!(y=l(m,e,!0))||(f=0,n?(t.lineStart(),t.point(y[0][0],y[0][1]),t.point(y[1][0],y[1][1]),t.lineEnd()):(t.point(y[1][0],y[1][1]),t.lineEnd(),t.lineStart(),t.point(y[0][0],y[0][1],3)))}!g||e&&oe(e,m)||t.point(m[0],m[1]),e=m,o=g,r=v},lineEnd:function(){o&&t.lineEnd(),e=null},clean:function(){return f|(u&&o)<<1}}}),(function(e,n,i,a){ne(a,t,r,i,e,n)}),n?[0,-t]:[-s,t-s])}function ye(t,r,n,i){function a(e,a){return t<=e&&e<=n&&r<=a&&a<=i}function s(e,a,o,s){var c=0,f=0;if(null==e||(c=l(e,o))!==(f=l(a,o))||u(e,a)<0^o>0)do{s.point(0===c||3===c?t:n,c>1?i:r)}while((c=(c+o+4)%4)!==f);else s.point(a[0],a[1])}function l(e,i){return p(e[0]-t)<o?i>0?0:3:p(e[0]-n)<o?i>0?2:1:p(e[1]-r)<o?i>0?1:0:i>0?3:2}function c(t,e){return u(t.x,e.x)}function u(t,e){var r=l(t,1),n=l(e,1);return r!==n?r-n:0===r?e[1]-t[1]:1===r?t[0]-e[0]:2===r?t[1]-e[1]:e[0]-t[0]}return function(o){var l,u,f,h,p,d,m,g,v,y,x,b=o,_=ae(),w={point:T,lineStart:function(){w.point=k,u&&u.push(f=[]);y=!0,v=!1,m=g=NaN},lineEnd:function(){l&&(k(h,p),d&&v&&_.rejoin(),l.push(_.result()));w.point=T,v&&b.lineEnd()},polygonStart:function(){b=_,l=[],u=[],x=!0},polygonEnd:function(){var r=function(){for(var e=0,r=0,n=u.length;r<n;++r)for(var a,o,s=u[r],l=1,c=s.length,f=s[0],h=f[0],p=f[1];l<c;++l)a=h,o=p,f=s[l],h=f[0],p=f[1],o<=i?p>i&&(h-a)*(i-o)>(p-o)*(t-a)&&++e:p<=i&&(h-a)*(i-o)<(p-o)*(t-a)&&--e;return e}(),n=x&&r,a=(l=e.merge(l)).length;(n||a)&&(o.polygonStart(),n&&(o.lineStart(),s(null,null,1,o),o.lineEnd()),a&&le(l,c,r,s,o),o.polygonEnd());b=o,l=u=f=null}};function T(t,e){a(t,e)&&b.point(t,e)}function k(e,o){var s=a(e,o);if(u&&f.push([e,o]),y)h=e,p=o,d=s,y=!1,s&&(b.lineStart(),b.point(e,o));else if(s&&v)b.point(e,o);else{var l=[m=Math.max(-1e9,Math.min(1e9,m)),g=Math.max(-1e9,Math.min(1e9,g))],c=[e=Math.max(-1e9,Math.min(1e9,e)),o=Math.max(-1e9,Math.min(1e9,o))];!function(t,e,r,n,i,a){var o,s=t[0],l=t[1],c=0,u=1,f=e[0]-s,h=e[1]-l;if(o=r-s,f||!(o>0)){if(o/=f,f<0){if(o<c)return;o<u&&(u=o)}else if(f>0){if(o>u)return;o>c&&(c=o)}if(o=i-s,f||!(o<0)){if(o/=f,f<0){if(o>u)return;o>c&&(c=o)}else if(f>0){if(o<c)return;o<u&&(u=o)}if(o=n-l,h||!(o>0)){if(o/=h,h<0){if(o<c)return;o<u&&(u=o)}else if(h>0){if(o>u)return;o>c&&(c=o)}if(o=a-l,h||!(o<0)){if(o/=h,h<0){if(o>u)return;o>c&&(c=o)}else if(h>0){if(o<c)return;o<u&&(u=o)}return c>0&&(t[0]=s+c*f,t[1]=l+c*h),u<1&&(e[0]=s+u*f,e[1]=l+u*h),!0}}}}}(l,c,t,r,n,i)?s&&(b.lineStart(),b.point(e,o),x=!1):(v||(b.lineStart(),b.point(l[0],l[1])),b.point(c[0],c[1]),s||b.lineEnd(),x=!1)}m=e,g=o,v=s}return w}}var xe,be,_e,we=r(),Te={sphere:E,point:E,lineStart:function(){Te.point=Ae,Te.lineEnd=ke},lineEnd:E,polygonStart:E,polygonEnd:E};function ke(){Te.point=Te.lineEnd=E}function Ae(t,e){xe=t*=h,be=_(e*=h),_e=g(e),Te.point=Me}function Me(t,e){t*=h;var r=_(e*=h),n=g(e),i=p(t-xe),a=g(i),o=n*_(i),s=_e*r-be*n*a,l=be*r+_e*n*a;we.add(m(T(o*o+s*s),l)),xe=t,be=r,_e=n}function Se(t){return we.reset(),z(t,Te),+we}var Ee=[null,null],Le={type:"LineString",coordinates:Ee};function Ce(t,e){return Ee[0]=t,Ee[1]=e,Se(Le)}var Pe={Feature:function(t,e){return Oe(t.geometry,e)},FeatureCollection:function(t,e){for(var r=t.features,n=-1,i=r.length;++n<i;)if(Oe(r[n].geometry,e))return!0;return!1}},Ie={Sphere:function(){return!0},Point:function(t,e){return ze(t.coordinates,e)},MultiPoint:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)if(ze(r[n],e))return!0;return!1},LineString:function(t,e){return De(t.coordinates,e)},MultiLineString:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)if(De(r[n],e))return!0;return!1},Polygon:function(t,e){return Re(t.coordinates,e)},MultiPolygon:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)if(Re(r[n],e))return!0;return!1},GeometryCollection:function(t,e){for(var r=t.geometries,n=-1,i=r.length;++n<i;)if(Oe(r[n],e))return!0;return!1}};function Oe(t,e){return!(!t||!Ie.hasOwnProperty(t.type))&&Ie[t.type](t,e)}function ze(t,e){return 0===Ce(t,e)}function De(t,e){for(var r,n,i,a=0,o=t.length;a<o;a++){if(0===(n=Ce(t[a],e)))return!0;if(a>0&&(i=Ce(t[a],t[a-1]))>0&&r<=i&&n<=i&&(r+n-i)*(1-Math.pow((r-n)/i,2))<1e-12*i)return!0;r=n}return!1}function Re(t,e){return!!he(t.map(Fe),Be(e))}function Fe(t){return(t=t.map(Be)).pop(),t}function Be(t){return[t[0]*h,t[1]*h]}function Ne(t,r,n){var i=e.range(t,r-o,n).concat(r);return function(t){return i.map((function(e){return[t,e]}))}}function je(t,r,n){var i=e.range(t,r-o,n).concat(r);return function(t){return i.map((function(e){return[e,t]}))}}function Ue(){var t,r,n,i,a,s,l,c,u,f,h,d,m=10,g=m,y=90,x=360,b=2.5;function _(){return{type:"MultiLineString",coordinates:w()}}function w(){return e.range(v(i/y)*y,n,y).map(h).concat(e.range(v(c/x)*x,l,x).map(d)).concat(e.range(v(r/m)*m,t,m).filter((function(t){return p(t%y)>o})).map(u)).concat(e.range(v(s/g)*g,a,g).filter((function(t){return p(t%x)>o})).map(f))}return _.lines=function(){return w().map((function(t){return{type:"LineString",coordinates:t}}))},_.outline=function(){return{type:"Polygon",coordinates:[h(i).concat(d(l).slice(1),h(n).reverse().slice(1),d(c).reverse().slice(1))]}},_.extent=function(t){return arguments.length?_.extentMajor(t).extentMinor(t):_.extentMinor()},_.extentMajor=function(t){return arguments.length?(i=+t[0][0],n=+t[1][0],c=+t[0][1],l=+t[1][1],i>n&&(t=i,i=n,n=t),c>l&&(t=c,c=l,l=t),_.precision(b)):[[i,c],[n,l]]},_.extentMinor=function(e){return arguments.length?(r=+e[0][0],t=+e[1][0],s=+e[0][1],a=+e[1][1],r>t&&(e=r,r=t,t=e),s>a&&(e=s,s=a,a=e),_.precision(b)):[[r,s],[t,a]]},_.step=function(t){return arguments.length?_.stepMajor(t).stepMinor(t):_.stepMinor()},_.stepMajor=function(t){return arguments.length?(y=+t[0],x=+t[1],_):[y,x]},_.stepMinor=function(t){return arguments.length?(m=+t[0],g=+t[1],_):[m,g]},_.precision=function(e){return arguments.length?(b=+e,u=Ne(s,a,90),f=je(r,t,b),h=Ne(c,l,90),d=je(i,n,b),_):b},_.extentMajor([[-180,-90+o],[180,90-o]]).extentMinor([[-180,-80-o],[180,80+o]])}function Ve(t){return t}var He,qe,Ge,Ye,We=r(),Xe=r(),Ze={point:E,lineStart:E,lineEnd:E,polygonStart:function(){Ze.lineStart=Je,Ze.lineEnd=$e},polygonEnd:function(){Ze.lineStart=Ze.lineEnd=Ze.point=E,We.add(p(Xe)),Xe.reset()},result:function(){var t=We/2;return We.reset(),t}};function Je(){Ze.point=Ke}function Ke(t,e){Ze.point=Qe,He=Ge=t,qe=Ye=e}function Qe(t,e){Xe.add(Ye*t-Ge*e),Ge=t,Ye=e}function $e(){Qe(He,qe)}var tr=1/0,er=tr,rr=-tr,nr=rr,ir={point:function(t,e){t<tr&&(tr=t);t>rr&&(rr=t);e<er&&(er=e);e>nr&&(nr=e)},lineStart:E,lineEnd:E,polygonStart:E,polygonEnd:E,result:function(){var t=[[tr,er],[rr,nr]];return rr=nr=-(er=tr=1/0),t}};var ar,or,sr,lr,cr=0,ur=0,fr=0,hr=0,pr=0,dr=0,mr=0,gr=0,vr=0,yr={point:xr,lineStart:br,lineEnd:Tr,polygonStart:function(){yr.lineStart=kr,yr.lineEnd=Ar},polygonEnd:function(){yr.point=xr,yr.lineStart=br,yr.lineEnd=Tr},result:function(){var t=vr?[mr/vr,gr/vr]:dr?[hr/dr,pr/dr]:fr?[cr/fr,ur/fr]:[NaN,NaN];return cr=ur=fr=hr=pr=dr=mr=gr=vr=0,t}};function xr(t,e){cr+=t,ur+=e,++fr}function br(){yr.point=_r}function _r(t,e){yr.point=wr,xr(sr=t,lr=e)}function wr(t,e){var r=t-sr,n=e-lr,i=T(r*r+n*n);hr+=i*(sr+t)/2,pr+=i*(lr+e)/2,dr+=i,xr(sr=t,lr=e)}function Tr(){yr.point=xr}function kr(){yr.point=Mr}function Ar(){Sr(ar,or)}function Mr(t,e){yr.point=Sr,xr(ar=sr=t,or=lr=e)}function Sr(t,e){var r=t-sr,n=e-lr,i=T(r*r+n*n);hr+=i*(sr+t)/2,pr+=i*(lr+e)/2,dr+=i,mr+=(i=lr*t-sr*e)*(sr+t),gr+=i*(lr+e),vr+=3*i,xr(sr=t,lr=e)}function Er(t){this._context=t}Er.prototype={_radius:4.5,pointRadius:function(t){return this._radius=t,this},polygonStart:function(){this._line=0},polygonEnd:function(){this._line=NaN},lineStart:function(){this._point=0},lineEnd:function(){0===this._line&&this._context.closePath(),this._point=NaN},point:function(t,e){switch(this._point){case 0:this._context.moveTo(t,e),this._point=1;break;case 1:this._context.lineTo(t,e);break;default:this._context.moveTo(t+this._radius,e),this._context.arc(t,e,this._radius,0,u)}},result:E};var Lr,Cr,Pr,Ir,Or,zr=r(),Dr={point:E,lineStart:function(){Dr.point=Rr},lineEnd:function(){Lr&&Fr(Cr,Pr),Dr.point=E},polygonStart:function(){Lr=!0},polygonEnd:function(){Lr=null},result:function(){var t=+zr;return zr.reset(),t}};function Rr(t,e){Dr.point=Fr,Cr=Ir=t,Pr=Or=e}function Fr(t,e){Ir-=t,Or-=e,zr.add(T(Ir*Ir+Or*Or)),Ir=t,Or=e}function Br(){this._string=[]}function Nr(t){return"m0,"+t+"a"+t+","+t+" 0 1,1 0,"+-2*t+"a"+t+","+t+" 0 1,1 0,"+2*t+"z"}function jr(t){return function(e){var r=new Ur;for(var n in t)r[n]=t[n];return r.stream=e,r}}function Ur(){}function Vr(t,e,r){var n=t.clipExtent&&t.clipExtent();return t.scale(150).translate([0,0]),null!=n&&t.clipExtent(null),z(r,t.stream(ir)),e(ir.result()),null!=n&&t.clipExtent(n),t}function Hr(t,e,r){return Vr(t,(function(r){var n=e[1][0]-e[0][0],i=e[1][1]-e[0][1],a=Math.min(n/(r[1][0]-r[0][0]),i/(r[1][1]-r[0][1])),o=+e[0][0]+(n-a*(r[1][0]+r[0][0]))/2,s=+e[0][1]+(i-a*(r[1][1]+r[0][1]))/2;t.scale(150*a).translate([o,s])}),r)}function qr(t,e,r){return Hr(t,[[0,0],e],r)}function Gr(t,e,r){return Vr(t,(function(r){var n=+e,i=n/(r[1][0]-r[0][0]),a=(n-i*(r[1][0]+r[0][0]))/2,o=-i*r[0][1];t.scale(150*i).translate([a,o])}),r)}function Yr(t,e,r){return Vr(t,(function(r){var n=+e,i=n/(r[1][1]-r[0][1]),a=-i*r[0][0],o=(n-i*(r[1][1]+r[0][1]))/2;t.scale(150*i).translate([a,o])}),r)}Br.prototype={_radius:4.5,_circle:Nr(4.5),pointRadius:function(t){return(t=+t)!==this._radius&&(this._radius=t,this._circle=null),this},polygonStart:function(){this._line=0},polygonEnd:function(){this._line=NaN},lineStart:function(){this._point=0},lineEnd:function(){0===this._line&&this._string.push("Z"),this._point=NaN},point:function(t,e){switch(this._point){case 0:this._string.push("M",t,",",e),this._point=1;break;case 1:this._string.push("L",t,",",e);break;default:null==this._circle&&(this._circle=Nr(this._radius)),this._string.push("M",t,",",e,this._circle)}},result:function(){if(this._string.length){var t=this._string.join("");return this._string=[],t}return null}},Ur.prototype={constructor:Ur,point:function(t,e){this.stream.point(t,e)},sphere:function(){this.stream.sphere()},lineStart:function(){this.stream.lineStart()},lineEnd:function(){this.stream.lineEnd()},polygonStart:function(){this.stream.polygonStart()},polygonEnd:function(){this.stream.polygonEnd()}};var Wr=g(30*h);function Xr(t,e){return+e?function(t,e){function r(n,i,a,s,l,c,u,f,h,d,g,v,y,x){var b=u-n,_=f-i,w=b*b+_*_;if(w>4*e&&y--){var k=s+d,A=l+g,S=c+v,E=T(k*k+A*A+S*S),L=M(S/=E),C=p(p(S)-1)<o||p(a-h)<o?(a+h)/2:m(A,k),P=t(C,L),I=P[0],O=P[1],z=I-n,D=O-i,R=_*z-b*D;(R*R/w>e||p((b*z+_*D)/w-.5)>.3||s*d+l*g+c*v<Wr)&&(r(n,i,a,s,l,c,I,O,C,k/=E,A/=E,S,y,x),x.point(I,O),r(I,O,C,k,A,S,u,f,h,d,g,v,y,x))}}return function(e){var n,i,a,o,s,l,c,u,f,h,p,d,m={point:g,lineStart:v,lineEnd:x,polygonStart:function(){e.polygonStart(),m.lineStart=b},polygonEnd:function(){e.polygonEnd(),m.lineStart=v}};function g(r,n){r=t(r,n),e.point(r[0],r[1])}function v(){u=NaN,m.point=y,e.lineStart()}function y(n,i){var a=X([n,i]),o=t(n,i);r(u,f,c,h,p,d,u=o[0],f=o[1],c=n,h=a[0],p=a[1],d=a[2],16,e),e.point(u,f)}function x(){m.point=g,e.lineEnd()}function b(){v(),m.point=_,m.lineEnd=w}function _(t,e){y(n=t,e),i=u,a=f,o=h,s=p,l=d,m.point=y}function w(){r(u,f,c,h,p,d,i,a,n,o,s,l,16,e),m.lineEnd=x,x()}return m}}(t,e):function(t){return jr({point:function(e,r){e=t(e,r),this.stream.point(e[0],e[1])}})}(t)}var Zr=jr({point:function(t,e){this.stream.point(t*h,e*h)}});function Jr(t,e,r,n,i){function a(a,o){return[e+t*(a*=n),r-t*(o*=i)]}return a.invert=function(a,o){return[(a-e)/t*n,(r-o)/t*i]},a}function Kr(t,e,r,n,i,a){var o=g(a),s=_(a),l=o*t,c=s*t,u=o/t,f=s/t,h=(s*r-o*e)/t,p=(s*e+o*r)/t;function d(t,a){return[l*(t*=n)-c*(a*=i)+e,r-c*t-l*a]}return d.invert=function(t,e){return[n*(u*t-f*e+h),i*(p-f*t-u*e)]},d}function Qr(t){return $r((function(){return t}))()}function $r(t){var e,r,n,i,a,o,s,l,c,u,p=150,d=480,m=250,g=0,v=0,y=0,x=0,b=0,_=0,w=1,k=1,A=null,M=ge,S=null,E=Ve,L=.5;function C(t){return l(t[0]*h,t[1]*h)}function P(t){return(t=l.invert(t[0],t[1]))&&[t[0]*f,t[1]*f]}function I(){var t=Kr(p,0,0,w,k,_).apply(null,e(g,v)),n=(_?Kr:Jr)(p,d-t[0],m-t[1],w,k,_);return r=Qt(y,x,b),s=Jt(e,n),l=Jt(r,s),o=Xr(s,L),O()}function O(){return c=u=null,C}return C.stream=function(t){return c&&u===t?c:c=Zr(function(t){return jr({point:function(e,r){var n=t(e,r);return this.stream.point(n[0],n[1])}})}(r)(M(o(E(u=t)))))},C.preclip=function(t){return arguments.length?(M=t,A=void 0,O()):M},C.postclip=function(t){return arguments.length?(E=t,S=n=i=a=null,O()):E},C.clipAngle=function(t){return arguments.length?(M=+t?ve(A=t*h):(A=null,ge),O()):A*f},C.clipExtent=function(t){return arguments.length?(E=null==t?(S=n=i=a=null,Ve):ye(S=+t[0][0],n=+t[0][1],i=+t[1][0],a=+t[1][1]),O()):null==S?null:[[S,n],[i,a]]},C.scale=function(t){return arguments.length?(p=+t,I()):p},C.translate=function(t){return arguments.length?(d=+t[0],m=+t[1],I()):[d,m]},C.center=function(t){return arguments.length?(g=t[0]%360*h,v=t[1]%360*h,I()):[g*f,v*f]},C.rotate=function(t){return arguments.length?(y=t[0]%360*h,x=t[1]%360*h,b=t.length>2?t[2]%360*h:0,I()):[y*f,x*f,b*f]},C.angle=function(t){return arguments.length?(_=t%360*h,I()):_*f},C.reflectX=function(t){return arguments.length?(w=t?-1:1,I()):w<0},C.reflectY=function(t){return arguments.length?(k=t?-1:1,I()):k<0},C.precision=function(t){return arguments.length?(o=Xr(s,L=t*t),O()):T(L)},C.fitExtent=function(t,e){return Hr(C,t,e)},C.fitSize=function(t,e){return qr(C,t,e)},C.fitWidth=function(t,e){return Gr(C,t,e)},C.fitHeight=function(t,e){return Yr(C,t,e)},function(){return e=t.apply(this,arguments),C.invert=e.invert&&P,I()}}function tn(t){var e=0,r=s/3,n=$r(t),i=n(e,r);return i.parallels=function(t){return arguments.length?n(e=t[0]*h,r=t[1]*h):[e*f,r*f]},i}function en(t,e){var r=_(t),n=(r+_(e))/2;if(p(n)<o)return function(t){var e=g(t);function r(t,r){return[t*e,_(r)/e]}return r.invert=function(t,r){return[t/e,M(r*e)]},r}(t);var i=1+r*(2*n-r),a=T(i)/n;function l(t,e){var r=T(i-2*n*_(e))/n;return[r*_(t*=n),a-r*g(t)]}return l.invert=function(t,e){var r=a-e,o=m(t,p(r))*w(r);return r*n<0&&(o-=s*w(t)*w(r)),[o/n,M((i-(t*t+r*r)*n*n)/(2*n))]},l}function rn(){return tn(en).scale(155.424).center([0,33.6442])}function nn(){return rn().parallels([29.5,45.5]).scale(1070).translate([480,250]).rotate([96,0]).center([-.6,38.7])}function an(t){return function(e,r){var n=g(e),i=g(r),a=t(n*i);return[a*i*_(e),a*_(r)]}}function on(t){return function(e,r){var n=T(e*e+r*r),i=t(n),a=_(i),o=g(i);return[m(e*a,n*o),M(n&&r*a/n)]}}var sn=an((function(t){return T(2/(1+t))}));sn.invert=on((function(t){return 2*M(t/2)}));var ln=an((function(t){return(t=A(t))&&t/_(t)}));function cn(t,e){return[t,x(k((l+e)/2))]}function un(t){var e,r,n,i=Qr(t),a=i.center,o=i.scale,l=i.translate,c=i.clipExtent,u=null;function f(){var a=s*o(),l=i(re(i.rotate()).invert([0,0]));return c(null==u?[[l[0]-a,l[1]-a],[l[0]+a,l[1]+a]]:t===cn?[[Math.max(l[0]-a,u),e],[Math.min(l[0]+a,r),n]]:[[u,Math.max(l[1]-a,e)],[r,Math.min(l[1]+a,n)]])}return i.scale=function(t){return arguments.length?(o(t),f()):o()},i.translate=function(t){return arguments.length?(l(t),f()):l()},i.center=function(t){return arguments.length?(a(t),f()):a()},i.clipExtent=function(t){return arguments.length?(null==t?u=e=r=n=null:(u=+t[0][0],e=+t[0][1],r=+t[1][0],n=+t[1][1]),f()):null==u?null:[[u,e],[r,n]]},f()}function fn(t){return k((l+t)/2)}function hn(t,e){var r=g(t),n=t===e?_(t):x(r/g(e))/x(fn(e)/fn(t)),i=r*b(fn(t),n)/n;if(!n)return cn;function a(t,e){i>0?e<-l+o&&(e=-l+o):e>l-o&&(e=l-o);var r=i/b(fn(e),n);return[r*_(n*t),i-r*g(n*t)]}return a.invert=function(t,e){var r=i-e,a=w(n)*T(t*t+r*r),o=m(t,p(r))*w(r);return r*n<0&&(o-=s*w(t)*w(r)),[o/n,2*d(b(i/a,1/n))-l]},a}function pn(t,e){return[t,e]}function dn(t,e){var r=g(t),n=t===e?_(t):(r-g(e))/(e-t),i=r/n+t;if(p(n)<o)return pn;function a(t,e){var r=i-e,a=n*t;return[r*_(a),i-r*g(a)]}return a.invert=function(t,e){var r=i-e,a=m(t,p(r))*w(r);return r*n<0&&(a-=s*w(t)*w(r)),[a/n,i-w(n)*T(t*t+r*r)]},a}ln.invert=on((function(t){return t})),cn.invert=function(t,e){return[t,2*d(y(e))-l]},pn.invert=pn;var mn=1.340264,gn=-.081106,vn=893e-6,yn=.003796,xn=T(3)/2;function bn(t,e){var r=M(xn*_(e)),n=r*r,i=n*n*n;return[t*g(r)/(xn*(mn+3*gn*n+i*(7*vn+9*yn*n))),r*(mn+gn*n+i*(vn+yn*n))]}function _n(t,e){var r=g(e),n=g(t)*r;return[r*_(t)/n,_(e)/n]}function wn(t,e){var r=e*e,n=r*r;return[t*(.8707-.131979*r+n*(n*(.003971*r-.001529*n)-.013791)),e*(1.007226+r*(.015085+n*(.028874*r-.044475-.005916*n)))]}function Tn(t,e){return[g(e)*_(t),_(e)]}function kn(t,e){var r=g(e),n=1+g(t)*r;return[r*_(t)/n,_(e)/n]}function An(t,e){return[x(k((l+e)/2)),-t]}bn.invert=function(t,e){for(var r,n=e,i=n*n,a=i*i*i,o=0;o<12&&(a=(i=(n-=r=(n*(mn+gn*i+a*(vn+yn*i))-e)/(mn+3*gn*i+a*(7*vn+9*yn*i)))*n)*i*i,!(p(r)<1e-12));++o);return[xn*t*(mn+3*gn*i+a*(7*vn+9*yn*i))/g(n),M(_(n)/xn)]},_n.invert=on(d),wn.invert=function(t,e){var r,n=e,i=25;do{var a=n*n,s=a*a;n-=r=(n*(1.007226+a*(.015085+s*(.028874*a-.044475-.005916*s)))-e)/(1.007226+a*(.045255+s*(.259866*a-.311325-.005916*11*s)))}while(p(r)>o&&--i>0);return[t/(.8707+(a=n*n)*(a*(a*a*a*(.003971-.001529*a)-.013791)-.131979)),n]},Tn.invert=on(M),kn.invert=on((function(t){return 2*d(t)})),An.invert=function(t,e){return[-e,2*d(y(t))-l]},t.geoAlbers=nn,t.geoAlbersUsa=function(){var t,e,r,n,i,a,s=nn(),l=rn().rotate([154,0]).center([-2,58.5]).parallels([55,65]),c=rn().rotate([157,0]).center([-3,19.9]).parallels([8,18]),u={point:function(t,e){a=[t,e]}};function f(t){var e=t[0],o=t[1];return a=null,r.point(e,o),a||(n.point(e,o),a)||(i.point(e,o),a)}function h(){return t=e=null,f}return f.invert=function(t){var e=s.scale(),r=s.translate(),n=(t[0]-r[0])/e,i=(t[1]-r[1])/e;return(i>=.12&&i<.234&&n>=-.425&&n<-.214?l:i>=.166&&i<.234&&n>=-.214&&n<-.115?c:s).invert(t)},f.stream=function(r){return t&&e===r?t:(n=[s.stream(e=r),l.stream(r),c.stream(r)],i=n.length,t={point:function(t,e){for(var r=-1;++r<i;)n[r].point(t,e)},sphere:function(){for(var t=-1;++t<i;)n[t].sphere()},lineStart:function(){for(var t=-1;++t<i;)n[t].lineStart()},lineEnd:function(){for(var t=-1;++t<i;)n[t].lineEnd()},polygonStart:function(){for(var t=-1;++t<i;)n[t].polygonStart()},polygonEnd:function(){for(var t=-1;++t<i;)n[t].polygonEnd()}});var n,i},f.precision=function(t){return arguments.length?(s.precision(t),l.precision(t),c.precision(t),h()):s.precision()},f.scale=function(t){return arguments.length?(s.scale(t),l.scale(.35*t),c.scale(t),f.translate(s.translate())):s.scale()},f.translate=function(t){if(!arguments.length)return s.translate();var e=s.scale(),a=+t[0],f=+t[1];return r=s.translate(t).clipExtent([[a-.455*e,f-.238*e],[a+.455*e,f+.238*e]]).stream(u),n=l.translate([a-.307*e,f+.201*e]).clipExtent([[a-.425*e+o,f+.12*e+o],[a-.214*e-o,f+.234*e-o]]).stream(u),i=c.translate([a-.205*e,f+.212*e]).clipExtent([[a-.214*e+o,f+.166*e+o],[a-.115*e-o,f+.234*e-o]]).stream(u),h()},f.fitExtent=function(t,e){return Hr(f,t,e)},f.fitSize=function(t,e){return qr(f,t,e)},f.fitWidth=function(t,e){return Gr(f,t,e)},f.fitHeight=function(t,e){return Yr(f,t,e)},f.scale(1070)},t.geoArea=function(t){return U.reset(),z(t,V),2*U},t.geoAzimuthalEqualArea=function(){return Qr(sn).scale(124.75).clipAngle(179.999)},t.geoAzimuthalEqualAreaRaw=sn,t.geoAzimuthalEquidistant=function(){return Qr(ln).scale(79.4188).clipAngle(179.999)},t.geoAzimuthalEquidistantRaw=ln,t.geoBounds=function(t){var e,r,n,i,a,o,s;if(nt=rt=-(tt=et=1/0),lt=[],z(t,St),r=lt.length){for(lt.sort(Rt),e=1,a=[n=lt[0]];e<r;++e)Ft(n,(i=lt[e])[0])||Ft(n,i[1])?(Dt(n[0],i[1])>Dt(n[0],n[1])&&(n[1]=i[1]),Dt(i[0],n[1])>Dt(n[0],n[1])&&(n[0]=i[0])):a.push(n=i);for(o=-1/0,e=0,n=a[r=a.length-1];e<=r;n=i,++e)i=a[e],(s=Dt(n[1],i[0]))>o&&(o=s,tt=i[0],rt=n[1])}return lt=ct=null,tt===1/0||et===1/0?[[NaN,NaN],[NaN,NaN]]:[[tt,et],[rt,nt]]},t.geoCentroid=function(t){ut=ft=ht=pt=dt=mt=gt=vt=yt=xt=bt=0,z(t,Bt);var e=yt,r=xt,n=bt,i=e*e+r*r+n*n;return i<1e-12&&(e=mt,r=gt,n=vt,ft<o&&(e=ht,r=pt,n=dt),(i=e*e+r*r+n*n)<1e-12)?[NaN,NaN]:[m(r,e)*f,M(n/T(i))*f]},t.geoCircle=function(){var t,e,r=Zt([0,0]),n=Zt(90),i=Zt(6),a={point:function(r,n){t.push(r=e(r,n)),r[0]*=f,r[1]*=f}};function o(){var o=r.apply(this,arguments),s=n.apply(this,arguments)*h,l=i.apply(this,arguments)*h;return t=[],e=Qt(-o[0]*h,-o[1]*h,0).invert,ne(a,s,l,1),o={type:"Polygon",coordinates:[t]},t=e=null,o}return o.center=function(t){return arguments.length?(r="function"==typeof t?t:Zt([+t[0],+t[1]]),o):r},o.radius=function(t){return arguments.length?(n="function"==typeof t?t:Zt(+t),o):n},o.precision=function(t){return arguments.length?(i="function"==typeof t?t:Zt(+t),o):i},o},t.geoClipAntimeridian=ge,t.geoClipCircle=ve,t.geoClipExtent=function(){var t,e,r,n=0,i=0,a=960,o=500;return r={stream:function(r){return t&&e===r?t:t=ye(n,i,a,o)(e=r)},extent:function(s){return arguments.length?(n=+s[0][0],i=+s[0][1],a=+s[1][0],o=+s[1][1],t=e=null,r):[[n,i],[a,o]]}}},t.geoClipRectangle=ye,t.geoConicConformal=function(){return tn(hn).scale(109.5).parallels([30,30])},t.geoConicConformalRaw=hn,t.geoConicEqualArea=rn,t.geoConicEqualAreaRaw=en,t.geoConicEquidistant=function(){return tn(dn).scale(131.154).center([0,13.9389])},t.geoConicEquidistantRaw=dn,t.geoContains=function(t,e){return(t&&Pe.hasOwnProperty(t.type)?Pe[t.type]:Oe)(t,e)},t.geoDistance=Ce,t.geoEqualEarth=function(){return Qr(bn).scale(177.158)},t.geoEqualEarthRaw=bn,t.geoEquirectangular=function(){return Qr(pn).scale(152.63)},t.geoEquirectangularRaw=pn,t.geoGnomonic=function(){return Qr(_n).scale(144.049).clipAngle(60)},t.geoGnomonicRaw=_n,t.geoGraticule=Ue,t.geoGraticule10=function(){return Ue()()},t.geoIdentity=function(){var t,e,r,n,i,a,o,s=1,l=0,c=0,u=1,p=1,d=0,m=null,v=1,y=1,x=jr({point:function(t,e){var r=T([t,e]);this.stream.point(r[0],r[1])}}),b=Ve;function w(){return v=s*u,y=s*p,a=o=null,T}function T(r){var n=r[0]*v,i=r[1]*y;if(d){var a=i*t-n*e;n=n*t+i*e,i=a}return[n+l,i+c]}return T.invert=function(r){var n=r[0]-l,i=r[1]-c;if(d){var a=i*t+n*e;n=n*t-i*e,i=a}return[n/v,i/y]},T.stream=function(t){return a&&o===t?a:a=x(b(o=t))},T.postclip=function(t){return arguments.length?(b=t,m=r=n=i=null,w()):b},T.clipExtent=function(t){return arguments.length?(b=null==t?(m=r=n=i=null,Ve):ye(m=+t[0][0],r=+t[0][1],n=+t[1][0],i=+t[1][1]),w()):null==m?null:[[m,r],[n,i]]},T.scale=function(t){return arguments.length?(s=+t,w()):s},T.translate=function(t){return arguments.length?(l=+t[0],c=+t[1],w()):[l,c]},T.angle=function(r){return arguments.length?(e=_(d=r%360*h),t=g(d),w()):d*f},T.reflectX=function(t){return arguments.length?(u=t?-1:1,w()):u<0},T.reflectY=function(t){return arguments.length?(p=t?-1:1,w()):p<0},T.fitExtent=function(t,e){return Hr(T,t,e)},T.fitSize=function(t,e){return qr(T,t,e)},T.fitWidth=function(t,e){return Gr(T,t,e)},T.fitHeight=function(t,e){return Yr(T,t,e)},T},t.geoInterpolate=function(t,e){var r=t[0]*h,n=t[1]*h,i=e[0]*h,a=e[1]*h,o=g(n),s=_(n),l=g(a),c=_(a),u=o*g(r),p=o*_(r),d=l*g(i),v=l*_(i),y=2*M(T(S(a-n)+o*l*S(i-r))),x=_(y),b=y?function(t){var e=_(t*=y)/x,r=_(y-t)/x,n=r*u+e*d,i=r*p+e*v,a=r*s+e*c;return[m(i,n)*f,m(a,T(n*n+i*i))*f]}:function(){return[r*f,n*f]};return b.distance=y,b},t.geoLength=Se,t.geoMercator=function(){return un(cn).scale(961/u)},t.geoMercatorRaw=cn,t.geoNaturalEarth1=function(){return Qr(wn).scale(175.295)},t.geoNaturalEarth1Raw=wn,t.geoOrthographic=function(){return Qr(Tn).scale(249.5).clipAngle(90+o)},t.geoOrthographicRaw=Tn,t.geoPath=function(t,e){var r,n,i=4.5;function a(t){return t&&("function"==typeof i&&n.pointRadius(+i.apply(this,arguments)),z(t,r(n))),n.result()}return a.area=function(t){return z(t,r(Ze)),Ze.result()},a.measure=function(t){return z(t,r(Dr)),Dr.result()},a.bounds=function(t){return z(t,r(ir)),ir.result()},a.centroid=function(t){return z(t,r(yr)),yr.result()},a.projection=function(e){return arguments.length?(r=null==e?(t=null,Ve):(t=e).stream,a):t},a.context=function(t){return arguments.length?(n=null==t?(e=null,new Br):new Er(e=t),"function"!=typeof i&&n.pointRadius(i),a):e},a.pointRadius=function(t){return arguments.length?(i="function"==typeof t?t:(n.pointRadius(+t),+t),a):i},a.projection(t).context(e)},t.geoProjection=Qr,t.geoProjectionMutator=$r,t.geoRotation=re,t.geoStereographic=function(){return Qr(kn).scale(250).clipAngle(142)},t.geoStereographicRaw=kn,t.geoStream=z,t.geoTransform=function(t){return{stream:jr(t)}},t.geoTransverseMercator=function(){var t=un(An),e=t.center,r=t.rotate;return t.center=function(t){return arguments.length?e([-t[1],t[0]]):[(t=e())[1],-t[0]]},t.rotate=function(t){return arguments.length?r([t[0],t[1],t.length>2?t[2]+90:90]):[(t=r())[0],t[1],t[2]-90]},r([0,0,90]).scale(159.155)},t.geoTransverseMercatorRaw=An,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-array":102}],110:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e){return t.parent===e.parent?1:2}function r(t,e){return t+e.x}function n(t,e){return Math.max(t,e.y)}function i(t){var e=0,r=t.children,n=r&&r.length;if(n)for(;--n>=0;)e+=r[n].value;else e=1;t.value=e}function a(t,e){var r,n,i,a,s,u=new c(t),f=+t.value&&(u.value=t.value),h=[u];for(null==e&&(e=o);r=h.pop();)if(f&&(r.value=+r.data.value),(i=e(r.data))&&(s=i.length))for(r.children=new Array(s),a=s-1;a>=0;--a)h.push(n=r.children[a]=new c(i[a])),n.parent=r,n.depth=r.depth+1;return u.eachBefore(l)}function o(t){return t.children}function s(t){t.data=t.data.data}function l(t){var e=0;do{t.height=e}while((t=t.parent)&&t.height<++e)}function c(t){this.data=t,this.depth=this.height=0,this.parent=null}c.prototype=a.prototype={constructor:c,count:function(){return this.eachAfter(i)},each:function(t){var e,r,n,i,a=this,o=[a];do{for(e=o.reverse(),o=[];a=e.pop();)if(t(a),r=a.children)for(n=0,i=r.length;n<i;++n)o.push(r[n])}while(o.length);return this},eachAfter:function(t){for(var e,r,n,i=this,a=[i],o=[];i=a.pop();)if(o.push(i),e=i.children)for(r=0,n=e.length;r<n;++r)a.push(e[r]);for(;i=o.pop();)t(i);return this},eachBefore:function(t){for(var e,r,n=this,i=[n];n=i.pop();)if(t(n),e=n.children)for(r=e.length-1;r>=0;--r)i.push(e[r]);return this},sum:function(t){return this.eachAfter((function(e){for(var r=+t(e.data)||0,n=e.children,i=n&&n.length;--i>=0;)r+=n[i].value;e.value=r}))},sort:function(t){return this.eachBefore((function(e){e.children&&e.children.sort(t)}))},path:function(t){for(var e=this,r=function(t,e){if(t===e)return t;var r=t.ancestors(),n=e.ancestors(),i=null;t=r.pop(),e=n.pop();for(;t===e;)i=t,t=r.pop(),e=n.pop();return i}(e,t),n=[e];e!==r;)e=e.parent,n.push(e);for(var i=n.length;t!==r;)n.splice(i,0,t),t=t.parent;return n},ancestors:function(){for(var t=this,e=[t];t=t.parent;)e.push(t);return e},descendants:function(){var t=[];return this.each((function(e){t.push(e)})),t},leaves:function(){var t=[];return this.eachBefore((function(e){e.children||t.push(e)})),t},links:function(){var t=this,e=[];return t.each((function(r){r!==t&&e.push({source:r.parent,target:r})})),e},copy:function(){return a(this).eachBefore(s)}};var u=Array.prototype.slice;function f(t){for(var e,r,n=0,i=(t=function(t){for(var e,r,n=t.length;n;)r=Math.random()*n--|0,e=t[n],t[n]=t[r],t[r]=e;return t}(u.call(t))).length,a=[];n<i;)e=t[n],r&&d(r,e)?++n:(r=g(a=h(a,e)),n=0);return r}function h(t,e){var r,n;if(m(e,t))return[e];for(r=0;r<t.length;++r)if(p(e,t[r])&&m(v(t[r],e),t))return[t[r],e];for(r=0;r<t.length-1;++r)for(n=r+1;n<t.length;++n)if(p(v(t[r],t[n]),e)&&p(v(t[r],e),t[n])&&p(v(t[n],e),t[r])&&m(y(t[r],t[n],e),t))return[t[r],t[n],e];throw new Error}function p(t,e){var r=t.r-e.r,n=e.x-t.x,i=e.y-t.y;return r<0||r*r<n*n+i*i}function d(t,e){var r=t.r-e.r+1e-6,n=e.x-t.x,i=e.y-t.y;return r>0&&r*r>n*n+i*i}function m(t,e){for(var r=0;r<e.length;++r)if(!d(t,e[r]))return!1;return!0}function g(t){switch(t.length){case 1:return{x:(e=t[0]).x,y:e.y,r:e.r};case 2:return v(t[0],t[1]);case 3:return y(t[0],t[1],t[2])}var e}function v(t,e){var r=t.x,n=t.y,i=t.r,a=e.x,o=e.y,s=e.r,l=a-r,c=o-n,u=s-i,f=Math.sqrt(l*l+c*c);return{x:(r+a+l/f*u)/2,y:(n+o+c/f*u)/2,r:(f+i+s)/2}}function y(t,e,r){var n=t.x,i=t.y,a=t.r,o=e.x,s=e.y,l=e.r,c=r.x,u=r.y,f=r.r,h=n-o,p=n-c,d=i-s,m=i-u,g=l-a,v=f-a,y=n*n+i*i-a*a,x=y-o*o-s*s+l*l,b=y-c*c-u*u+f*f,_=p*d-h*m,w=(d*b-m*x)/(2*_)-n,T=(m*g-d*v)/_,k=(p*x-h*b)/(2*_)-i,A=(h*v-p*g)/_,M=T*T+A*A-1,S=2*(a+w*T+k*A),E=w*w+k*k-a*a,L=-(M?(S+Math.sqrt(S*S-4*M*E))/(2*M):E/S);return{x:n+w+T*L,y:i+k+A*L,r:L}}function x(t,e,r){var n,i,a,o,s=t.x-e.x,l=t.y-e.y,c=s*s+l*l;c?(i=e.r+r.r,i*=i,o=t.r+r.r,i>(o*=o)?(n=(c+o-i)/(2*c),a=Math.sqrt(Math.max(0,o/c-n*n)),r.x=t.x-n*s-a*l,r.y=t.y-n*l+a*s):(n=(c+i-o)/(2*c),a=Math.sqrt(Math.max(0,i/c-n*n)),r.x=e.x+n*s-a*l,r.y=e.y+n*l+a*s)):(r.x=e.x+r.r,r.y=e.y)}function b(t,e){var r=t.r+e.r-1e-6,n=e.x-t.x,i=e.y-t.y;return r>0&&r*r>n*n+i*i}function _(t){var e=t._,r=t.next._,n=e.r+r.r,i=(e.x*r.r+r.x*e.r)/n,a=(e.y*r.r+r.y*e.r)/n;return i*i+a*a}function w(t){this._=t,this.next=null,this.previous=null}function T(t){if(!(i=t.length))return 0;var e,r,n,i,a,o,s,l,c,u,h;if((e=t[0]).x=0,e.y=0,!(i>1))return e.r;if(r=t[1],e.x=-r.r,r.x=e.r,r.y=0,!(i>2))return e.r+r.r;x(r,e,n=t[2]),e=new w(e),r=new w(r),n=new w(n),e.next=n.previous=r,r.next=e.previous=n,n.next=r.previous=e;t:for(s=3;s<i;++s){x(e._,r._,n=t[s]),n=new w(n),l=r.next,c=e.previous,u=r._.r,h=e._.r;do{if(u<=h){if(b(l._,n._)){r=l,e.next=r,r.previous=e,--s;continue t}u+=l._.r,l=l.next}else{if(b(c._,n._)){(e=c).next=r,r.previous=e,--s;continue t}h+=c._.r,c=c.previous}}while(l!==c.next);for(n.previous=e,n.next=r,e.next=r.previous=r=n,a=_(e);(n=n.next)!==r;)(o=_(n))<a&&(e=n,a=o);r=e.next}for(e=[r._],n=r;(n=n.next)!==r;)e.push(n._);for(n=f(e),s=0;s<i;++s)(e=t[s]).x-=n.x,e.y-=n.y;return n.r}function k(t){return null==t?null:A(t)}function A(t){if("function"!=typeof t)throw new Error;return t}function M(){return 0}function S(t){return function(){return t}}function E(t){return Math.sqrt(t.value)}function L(t){return function(e){e.children||(e.r=Math.max(0,+t(e)||0))}}function C(t,e){return function(r){if(n=r.children){var n,i,a,o=n.length,s=t(r)*e||0;if(s)for(i=0;i<o;++i)n[i].r+=s;if(a=T(n),s)for(i=0;i<o;++i)n[i].r-=s;r.r=a+s}}}function P(t){return function(e){var r=e.parent;e.r*=t,r&&(e.x=r.x+t*e.x,e.y=r.y+t*e.y)}}function I(t){t.x0=Math.round(t.x0),t.y0=Math.round(t.y0),t.x1=Math.round(t.x1),t.y1=Math.round(t.y1)}function O(t,e,r,n,i){for(var a,o=t.children,s=-1,l=o.length,c=t.value&&(n-e)/t.value;++s<l;)(a=o[s]).y0=r,a.y1=i,a.x0=e,a.x1=e+=a.value*c}var z={depth:-1},D={};function R(t){return t.id}function F(t){return t.parentId}function B(t,e){return t.parent===e.parent?1:2}function N(t){var e=t.children;return e?e[0]:t.t}function j(t){var e=t.children;return e?e[e.length-1]:t.t}function U(t,e,r){var n=r/(e.i-t.i);e.c-=n,e.s+=r,t.c+=n,e.z+=r,e.m+=r}function V(t,e,r){return t.a.parent===e.parent?t.a:r}function H(t,e){this._=t,this.parent=null,this.children=null,this.A=null,this.a=this,this.z=0,this.m=0,this.c=0,this.s=0,this.t=null,this.i=e}function q(t,e,r,n,i){for(var a,o=t.children,s=-1,l=o.length,c=t.value&&(i-r)/t.value;++s<l;)(a=o[s]).x0=e,a.x1=n,a.y0=r,a.y1=r+=a.value*c}H.prototype=Object.create(c.prototype);var G=(1+Math.sqrt(5))/2;function Y(t,e,r,n,i,a){for(var o,s,l,c,u,f,h,p,d,m,g,v=[],y=e.children,x=0,b=0,_=y.length,w=e.value;x<_;){l=i-r,c=a-n;do{u=y[b++].value}while(!u&&b<_);for(f=h=u,g=u*u*(m=Math.max(c/l,l/c)/(w*t)),d=Math.max(h/g,g/f);b<_;++b){if(u+=s=y[b].value,s<f&&(f=s),s>h&&(h=s),g=u*u*m,(p=Math.max(h/g,g/f))>d){u-=s;break}d=p}v.push(o={value:u,dice:l<c,children:y.slice(x,b)}),o.dice?O(o,r,n,i,w?n+=c*u/w:a):q(o,r,n,w?r+=l*u/w:i,a),w-=u,x=b}return v}var W=function t(e){function r(t,r,n,i,a){Y(e,t,r,n,i,a)}return r.ratio=function(e){return t((e=+e)>1?e:1)},r}(G);var X=function t(e){function r(t,r,n,i,a){if((o=t._squarify)&&o.ratio===e)for(var o,s,l,c,u,f=-1,h=o.length,p=t.value;++f<h;){for(l=(s=o[f]).children,c=s.value=0,u=l.length;c<u;++c)s.value+=l[c].value;s.dice?O(s,r,n,i,n+=(a-n)*s.value/p):q(s,r,n,r+=(i-r)*s.value/p,a),p-=s.value}else t._squarify=o=Y(e,t,r,n,i,a),o.ratio=e}return r.ratio=function(e){return t((e=+e)>1?e:1)},r}(G);t.cluster=function(){var t=e,i=1,a=1,o=!1;function s(e){var s,l=0;e.eachAfter((function(e){var i=e.children;i?(e.x=function(t){return t.reduce(r,0)/t.length}(i),e.y=function(t){return 1+t.reduce(n,0)}(i)):(e.x=s?l+=t(e,s):0,e.y=0,s=e)}));var c=function(t){for(var e;e=t.children;)t=e[0];return t}(e),u=function(t){for(var e;e=t.children;)t=e[e.length-1];return t}(e),f=c.x-t(c,u)/2,h=u.x+t(u,c)/2;return e.eachAfter(o?function(t){t.x=(t.x-e.x)*i,t.y=(e.y-t.y)*a}:function(t){t.x=(t.x-f)/(h-f)*i,t.y=(1-(e.y?t.y/e.y:1))*a})}return s.separation=function(e){return arguments.length?(t=e,s):t},s.size=function(t){return arguments.length?(o=!1,i=+t[0],a=+t[1],s):o?null:[i,a]},s.nodeSize=function(t){return arguments.length?(o=!0,i=+t[0],a=+t[1],s):o?[i,a]:null},s},t.hierarchy=a,t.pack=function(){var t=null,e=1,r=1,n=M;function i(i){return i.x=e/2,i.y=r/2,t?i.eachBefore(L(t)).eachAfter(C(n,.5)).eachBefore(P(1)):i.eachBefore(L(E)).eachAfter(C(M,1)).eachAfter(C(n,i.r/Math.min(e,r))).eachBefore(P(Math.min(e,r)/(2*i.r))),i}return i.radius=function(e){return arguments.length?(t=k(e),i):t},i.size=function(t){return arguments.length?(e=+t[0],r=+t[1],i):[e,r]},i.padding=function(t){return arguments.length?(n="function"==typeof t?t:S(+t),i):n},i},t.packEnclose=f,t.packSiblings=function(t){return T(t),t},t.partition=function(){var t=1,e=1,r=0,n=!1;function i(i){var a=i.height+1;return i.x0=i.y0=r,i.x1=t,i.y1=e/a,i.eachBefore(function(t,e){return function(n){n.children&&O(n,n.x0,t*(n.depth+1)/e,n.x1,t*(n.depth+2)/e);var i=n.x0,a=n.y0,o=n.x1-r,s=n.y1-r;o<i&&(i=o=(i+o)/2),s<a&&(a=s=(a+s)/2),n.x0=i,n.y0=a,n.x1=o,n.y1=s}}(e,a)),n&&i.eachBefore(I),i}return i.round=function(t){return arguments.length?(n=!!t,i):n},i.size=function(r){return arguments.length?(t=+r[0],e=+r[1],i):[t,e]},i.padding=function(t){return arguments.length?(r=+t,i):r},i},t.stratify=function(){var t=R,e=F;function r(r){var n,i,a,o,s,u,f,h=r.length,p=new Array(h),d={};for(i=0;i<h;++i)n=r[i],s=p[i]=new c(n),null!=(u=t(n,i,r))&&(u+="")&&(d[f="$"+(s.id=u)]=f in d?D:s);for(i=0;i<h;++i)if(s=p[i],null!=(u=e(r[i],i,r))&&(u+="")){if(!(o=d["$"+u]))throw new Error("missing: "+u);if(o===D)throw new Error("ambiguous: "+u);o.children?o.children.push(s):o.children=[s],s.parent=o}else{if(a)throw new Error("multiple roots");a=s}if(!a)throw new Error("no root");if(a.parent=z,a.eachBefore((function(t){t.depth=t.parent.depth+1,--h})).eachBefore(l),a.parent=null,h>0)throw new Error("cycle");return a}return r.id=function(e){return arguments.length?(t=A(e),r):t},r.parentId=function(t){return arguments.length?(e=A(t),r):e},r},t.tree=function(){var t=B,e=1,r=1,n=null;function i(i){var l=function(t){for(var e,r,n,i,a,o=new H(t,0),s=[o];e=s.pop();)if(n=e._.children)for(e.children=new Array(a=n.length),i=a-1;i>=0;--i)s.push(r=e.children[i]=new H(n[i],i)),r.parent=e;return(o.parent=new H(null,0)).children=[o],o}(i);if(l.eachAfter(a),l.parent.m=-l.z,l.eachBefore(o),n)i.eachBefore(s);else{var c=i,u=i,f=i;i.eachBefore((function(t){t.x<c.x&&(c=t),t.x>u.x&&(u=t),t.depth>f.depth&&(f=t)}));var h=c===u?1:t(c,u)/2,p=h-c.x,d=e/(u.x+h+p),m=r/(f.depth||1);i.eachBefore((function(t){t.x=(t.x+p)*d,t.y=t.depth*m}))}return i}function a(e){var r=e.children,n=e.parent.children,i=e.i?n[e.i-1]:null;if(r){!function(t){for(var e,r=0,n=0,i=t.children,a=i.length;--a>=0;)(e=i[a]).z+=r,e.m+=r,r+=e.s+(n+=e.c)}(e);var a=(r[0].z+r[r.length-1].z)/2;i?(e.z=i.z+t(e._,i._),e.m=e.z-a):e.z=a}else i&&(e.z=i.z+t(e._,i._));e.parent.A=function(e,r,n){if(r){for(var i,a=e,o=e,s=r,l=a.parent.children[0],c=a.m,u=o.m,f=s.m,h=l.m;s=j(s),a=N(a),s&&a;)l=N(l),(o=j(o)).a=e,(i=s.z+f-a.z-c+t(s._,a._))>0&&(U(V(s,e,n),e,i),c+=i,u+=i),f+=s.m,c+=a.m,h+=l.m,u+=o.m;s&&!j(o)&&(o.t=s,o.m+=f-u),a&&!N(l)&&(l.t=a,l.m+=c-h,n=e)}return n}(e,i,e.parent.A||n[0])}function o(t){t._.x=t.z+t.parent.m,t.m+=t.parent.m}function s(t){t.x*=e,t.y=t.depth*r}return i.separation=function(e){return arguments.length?(t=e,i):t},i.size=function(t){return arguments.length?(n=!1,e=+t[0],r=+t[1],i):n?null:[e,r]},i.nodeSize=function(t){return arguments.length?(n=!0,e=+t[0],r=+t[1],i):n?[e,r]:null},i},t.treemap=function(){var t=W,e=!1,r=1,n=1,i=[0],a=M,o=M,s=M,l=M,c=M;function u(t){return t.x0=t.y0=0,t.x1=r,t.y1=n,t.eachBefore(f),i=[0],e&&t.eachBefore(I),t}function f(e){var r=i[e.depth],n=e.x0+r,u=e.y0+r,f=e.x1-r,h=e.y1-r;f<n&&(n=f=(n+f)/2),h<u&&(u=h=(u+h)/2),e.x0=n,e.y0=u,e.x1=f,e.y1=h,e.children&&(r=i[e.depth+1]=a(e)/2,n+=c(e)-r,u+=o(e)-r,(f-=s(e)-r)<n&&(n=f=(n+f)/2),(h-=l(e)-r)<u&&(u=h=(u+h)/2),t(e,n,u,f,h))}return u.round=function(t){return arguments.length?(e=!!t,u):e},u.size=function(t){return arguments.length?(r=+t[0],n=+t[1],u):[r,n]},u.tile=function(e){return arguments.length?(t=A(e),u):t},u.padding=function(t){return arguments.length?u.paddingInner(t).paddingOuter(t):u.paddingInner()},u.paddingInner=function(t){return arguments.length?(a="function"==typeof t?t:S(+t),u):a},u.paddingOuter=function(t){return arguments.length?u.paddingTop(t).paddingRight(t).paddingBottom(t).paddingLeft(t):u.paddingTop()},u.paddingTop=function(t){return arguments.length?(o="function"==typeof t?t:S(+t),u):o},u.paddingRight=function(t){return arguments.length?(s="function"==typeof t?t:S(+t),u):s},u.paddingBottom=function(t){return arguments.length?(l="function"==typeof t?t:S(+t),u):l},u.paddingLeft=function(t){return arguments.length?(c="function"==typeof t?t:S(+t),u):c},u},t.treemapBinary=function(t,e,r,n,i){var a,o,s=t.children,l=s.length,c=new Array(l+1);for(c[0]=o=a=0;a<l;++a)c[a+1]=o+=s[a].value;!function t(e,r,n,i,a,o,l){if(e>=r-1){var u=s[e];return u.x0=i,u.y0=a,u.x1=o,void(u.y1=l)}var f=c[e],h=n/2+f,p=e+1,d=r-1;for(;p<d;){var m=p+d>>>1;c[m]<h?p=m+1:d=m}h-c[p-1]<c[p]-h&&e+1<p&&--p;var g=c[p]-f,v=n-g;if(o-i>l-a){var y=(i*v+o*g)/n;t(e,p,g,i,a,y,l),t(p,r,v,y,a,o,l)}else{var x=(a*v+l*g)/n;t(e,p,g,i,a,o,x),t(p,r,v,i,x,o,l)}}(0,l,t.value,e,r,n,i)},t.treemapDice=O,t.treemapResquarify=X,t.treemapSlice=q,t.treemapSliceDice=function(t,e,r,n,i){(1&t.depth?q:O)(t,e,r,n,i)},t.treemapSquarify=W,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],111:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-color")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(t,e,r,n,i){var a=t*t,o=a*t;return((1-3*t+3*a-o)*e+(4-6*a+3*o)*r+(1+3*t+3*a-3*o)*n+o*i)/6}function n(t){var e=t.length-1;return function(n){var i=n<=0?n=0:n>=1?(n=1,e-1):Math.floor(n*e),a=t[i],o=t[i+1],s=i>0?t[i-1]:2*a-o,l=i<e-1?t[i+2]:2*o-a;return r((n-i/e)*e,s,a,o,l)}}function i(t){var e=t.length;return function(n){var i=Math.floor(((n%=1)<0?++n:n)*e),a=t[(i+e-1)%e],o=t[i%e],s=t[(i+1)%e],l=t[(i+2)%e];return r((n-i/e)*e,a,o,s,l)}}function a(t){return function(){return t}}function o(t,e){return function(r){return t+r*e}}function s(t,e){var r=e-t;return r?o(t,r>180||r<-180?r-360*Math.round(r/360):r):a(isNaN(t)?e:t)}function l(t){return 1==(t=+t)?c:function(e,r){return r-e?function(t,e,r){return t=Math.pow(t,r),e=Math.pow(e,r)-t,r=1/r,function(n){return Math.pow(t+n*e,r)}}(e,r,t):a(isNaN(e)?r:e)}}function c(t,e){var r=e-t;return r?o(t,r):a(isNaN(t)?e:t)}var u=function t(r){var n=l(r);function i(t,r){var i=n((t=e.rgb(t)).r,(r=e.rgb(r)).r),a=n(t.g,r.g),o=n(t.b,r.b),s=c(t.opacity,r.opacity);return function(e){return t.r=i(e),t.g=a(e),t.b=o(e),t.opacity=s(e),t+""}}return i.gamma=t,i}(1);function f(t){return function(r){var n,i,a=r.length,o=new Array(a),s=new Array(a),l=new Array(a);for(n=0;n<a;++n)i=e.rgb(r[n]),o[n]=i.r||0,s[n]=i.g||0,l[n]=i.b||0;return o=t(o),s=t(s),l=t(l),i.opacity=1,function(t){return i.r=o(t),i.g=s(t),i.b=l(t),i+""}}}var h=f(n),p=f(i);function d(t,e){e||(e=[]);var r,n=t?Math.min(e.length,t.length):0,i=e.slice();return function(a){for(r=0;r<n;++r)i[r]=t[r]*(1-a)+e[r]*a;return i}}function m(t){return ArrayBuffer.isView(t)&&!(t instanceof DataView)}function g(t,e){var r,n=e?e.length:0,i=t?Math.min(n,t.length):0,a=new Array(i),o=new Array(n);for(r=0;r<i;++r)a[r]=T(t[r],e[r]);for(;r<n;++r)o[r]=e[r];return function(t){for(r=0;r<i;++r)o[r]=a[r](t);return o}}function v(t,e){var r=new Date;return t=+t,e=+e,function(n){return r.setTime(t*(1-n)+e*n),r}}function y(t,e){return t=+t,e=+e,function(r){return t*(1-r)+e*r}}function x(t,e){var r,n={},i={};for(r in null!==t&&"object"==typeof t||(t={}),null!==e&&"object"==typeof e||(e={}),e)r in t?n[r]=T(t[r],e[r]):i[r]=e[r];return function(t){for(r in n)i[r]=n[r](t);return i}}var b=/[-+]?(?:\d+\.?\d*|\.?\d+)(?:[eE][-+]?\d+)?/g,_=new RegExp(b.source,"g");function w(t,e){var r,n,i,a=b.lastIndex=_.lastIndex=0,o=-1,s=[],l=[];for(t+="",e+="";(r=b.exec(t))&&(n=_.exec(e));)(i=n.index)>a&&(i=e.slice(a,i),s[o]?s[o]+=i:s[++o]=i),(r=r[0])===(n=n[0])?s[o]?s[o]+=n:s[++o]=n:(s[++o]=null,l.push({i:o,x:y(r,n)})),a=_.lastIndex;return a<e.length&&(i=e.slice(a),s[o]?s[o]+=i:s[++o]=i),s.length<2?l[0]?function(t){return function(e){return t(e)+""}}(l[0].x):function(t){return function(){return t}}(e):(e=l.length,function(t){for(var r,n=0;n<e;++n)s[(r=l[n]).i]=r.x(t);return s.join("")})}function T(t,r){var n,i=typeof r;return null==r||"boolean"===i?a(r):("number"===i?y:"string"===i?(n=e.color(r))?(r=n,u):w:r instanceof e.color?u:r instanceof Date?v:m(r)?d:Array.isArray(r)?g:"function"!=typeof r.valueOf&&"function"!=typeof r.toString||isNaN(r)?x:y)(t,r)}var k,A,M,S,E=180/Math.PI,L={translateX:0,translateY:0,rotate:0,skewX:0,scaleX:1,scaleY:1};function C(t,e,r,n,i,a){var o,s,l;return(o=Math.sqrt(t*t+e*e))&&(t/=o,e/=o),(l=t*r+e*n)&&(r-=t*l,n-=e*l),(s=Math.sqrt(r*r+n*n))&&(r/=s,n/=s,l/=s),t*n<e*r&&(t=-t,e=-e,l=-l,o=-o),{translateX:i,translateY:a,rotate:Math.atan2(e,t)*E,skewX:Math.atan(l)*E,scaleX:o,scaleY:s}}function P(t,e,r,n){function i(t){return t.length?t.pop()+" ":""}return function(a,o){var s=[],l=[];return a=t(a),o=t(o),function(t,n,i,a,o,s){if(t!==i||n!==a){var l=o.push("translate(",null,e,null,r);s.push({i:l-4,x:y(t,i)},{i:l-2,x:y(n,a)})}else(i||a)&&o.push("translate("+i+e+a+r)}(a.translateX,a.translateY,o.translateX,o.translateY,s,l),function(t,e,r,a){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),a.push({i:r.push(i(r)+"rotate(",null,n)-2,x:y(t,e)})):e&&r.push(i(r)+"rotate("+e+n)}(a.rotate,o.rotate,s,l),function(t,e,r,a){t!==e?a.push({i:r.push(i(r)+"skewX(",null,n)-2,x:y(t,e)}):e&&r.push(i(r)+"skewX("+e+n)}(a.skewX,o.skewX,s,l),function(t,e,r,n,a,o){if(t!==r||e!==n){var s=a.push(i(a)+"scale(",null,",",null,")");o.push({i:s-4,x:y(t,r)},{i:s-2,x:y(e,n)})}else 1===r&&1===n||a.push(i(a)+"scale("+r+","+n+")")}(a.scaleX,a.scaleY,o.scaleX,o.scaleY,s,l),a=o=null,function(t){for(var e,r=-1,n=l.length;++r<n;)s[(e=l[r]).i]=e.x(t);return s.join("")}}}var I=P((function(t){return"none"===t?L:(k||(k=document.createElement("DIV"),A=document.documentElement,M=document.defaultView),k.style.transform=t,t=M.getComputedStyle(A.appendChild(k),null).getPropertyValue("transform"),A.removeChild(k),C(+(t=t.slice(7,-1).split(","))[0],+t[1],+t[2],+t[3],+t[4],+t[5]))}),"px, ","px)","deg)"),O=P((function(t){return null==t?L:(S||(S=document.createElementNS("http://www.w3.org/2000/svg","g")),S.setAttribute("transform",t),(t=S.transform.baseVal.consolidate())?C((t=t.matrix).a,t.b,t.c,t.d,t.e,t.f):L)}),", ",")",")"),z=Math.SQRT2;function D(t){return((t=Math.exp(t))+1/t)/2}function R(t){return function(r,n){var i=t((r=e.hsl(r)).h,(n=e.hsl(n)).h),a=c(r.s,n.s),o=c(r.l,n.l),s=c(r.opacity,n.opacity);return function(t){return r.h=i(t),r.s=a(t),r.l=o(t),r.opacity=s(t),r+""}}}var F=R(s),B=R(c);function N(t){return function(r,n){var i=t((r=e.hcl(r)).h,(n=e.hcl(n)).h),a=c(r.c,n.c),o=c(r.l,n.l),s=c(r.opacity,n.opacity);return function(t){return r.h=i(t),r.c=a(t),r.l=o(t),r.opacity=s(t),r+""}}}var j=N(s),U=N(c);function V(t){return function r(n){function i(r,i){var a=t((r=e.cubehelix(r)).h,(i=e.cubehelix(i)).h),o=c(r.s,i.s),s=c(r.l,i.l),l=c(r.opacity,i.opacity);return function(t){return r.h=a(t),r.s=o(t),r.l=s(Math.pow(t,n)),r.opacity=l(t),r+""}}return n=+n,i.gamma=r,i}(1)}var H=V(s),q=V(c);t.interpolate=T,t.interpolateArray=function(t,e){return(m(e)?d:g)(t,e)},t.interpolateBasis=n,t.interpolateBasisClosed=i,t.interpolateCubehelix=H,t.interpolateCubehelixLong=q,t.interpolateDate=v,t.interpolateDiscrete=function(t){var e=t.length;return function(r){return t[Math.max(0,Math.min(e-1,Math.floor(r*e)))]}},t.interpolateHcl=j,t.interpolateHclLong=U,t.interpolateHsl=F,t.interpolateHslLong=B,t.interpolateHue=function(t,e){var r=s(+t,+e);return function(t){var e=r(t);return e-360*Math.floor(e/360)}},t.interpolateLab=function(t,r){var n=c((t=e.lab(t)).l,(r=e.lab(r)).l),i=c(t.a,r.a),a=c(t.b,r.b),o=c(t.opacity,r.opacity);return function(e){return t.l=n(e),t.a=i(e),t.b=a(e),t.opacity=o(e),t+""}},t.interpolateNumber=y,t.interpolateNumberArray=d,t.interpolateObject=x,t.interpolateRgb=u,t.interpolateRgbBasis=h,t.interpolateRgbBasisClosed=p,t.interpolateRound=function(t,e){return t=+t,e=+e,function(r){return Math.round(t*(1-r)+e*r)}},t.interpolateString=w,t.interpolateTransformCss=I,t.interpolateTransformSvg=O,t.interpolateZoom=function(t,e){var r,n,i=t[0],a=t[1],o=t[2],s=e[0],l=e[1],c=e[2],u=s-i,f=l-a,h=u*u+f*f;if(h<1e-12)n=Math.log(c/o)/z,r=function(t){return[i+t*u,a+t*f,o*Math.exp(z*t*n)]};else{var p=Math.sqrt(h),d=(c*c-o*o+4*h)/(2*o*2*p),m=(c*c-o*o-4*h)/(2*c*2*p),g=Math.log(Math.sqrt(d*d+1)-d),v=Math.log(Math.sqrt(m*m+1)-m);n=(v-g)/z,r=function(t){var e,r=t*n,s=D(g),l=o/(2*p)*(s*(e=z*r+g,((e=Math.exp(2*e))-1)/(e+1))-function(t){return((t=Math.exp(t))-1/t)/2}(g));return[i+l*u,a+l*f,o*s/D(z*r+g)]}}return r.duration=1e3*n,r},t.piecewise=function(t,e){for(var r=0,n=e.length-1,i=e[0],a=new Array(n<0?0:n);r<n;)a[r]=t(i,i=e[++r]);return function(t){var e=Math.max(0,Math.min(n-1,Math.floor(t*=n)));return a[e](t-e)}},t.quantize=function(t,e){for(var r=new Array(e),n=0;n<e;++n)r[n]=t(n/(e-1));return r},Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-color":104}],112:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e=Math.PI,r=2*e,n=r-1e-6;function i(){this._x0=this._y0=this._x1=this._y1=null,this._=""}function a(){return new i}i.prototype=a.prototype={constructor:i,moveTo:function(t,e){this._+="M"+(this._x0=this._x1=+t)+","+(this._y0=this._y1=+e)},closePath:function(){null!==this._x1&&(this._x1=this._x0,this._y1=this._y0,this._+="Z")},lineTo:function(t,e){this._+="L"+(this._x1=+t)+","+(this._y1=+e)},quadraticCurveTo:function(t,e,r,n){this._+="Q"+ +t+","+ +e+","+(this._x1=+r)+","+(this._y1=+n)},bezierCurveTo:function(t,e,r,n,i,a){this._+="C"+ +t+","+ +e+","+ +r+","+ +n+","+(this._x1=+i)+","+(this._y1=+a)},arcTo:function(t,r,n,i,a){t=+t,r=+r,n=+n,i=+i,a=+a;var o=this._x1,s=this._y1,l=n-t,c=i-r,u=o-t,f=s-r,h=u*u+f*f;if(a<0)throw new Error("negative radius: "+a);if(null===this._x1)this._+="M"+(this._x1=t)+","+(this._y1=r);else if(h>1e-6)if(Math.abs(f*l-c*u)>1e-6&&a){var p=n-o,d=i-s,m=l*l+c*c,g=p*p+d*d,v=Math.sqrt(m),y=Math.sqrt(h),x=a*Math.tan((e-Math.acos((m+h-g)/(2*v*y)))/2),b=x/y,_=x/v;Math.abs(b-1)>1e-6&&(this._+="L"+(t+b*u)+","+(r+b*f)),this._+="A"+a+","+a+",0,0,"+ +(f*p>u*d)+","+(this._x1=t+_*l)+","+(this._y1=r+_*c)}else this._+="L"+(this._x1=t)+","+(this._y1=r);else;},arc:function(t,i,a,o,s,l){t=+t,i=+i,l=!!l;var c=(a=+a)*Math.cos(o),u=a*Math.sin(o),f=t+c,h=i+u,p=1^l,d=l?o-s:s-o;if(a<0)throw new Error("negative radius: "+a);null===this._x1?this._+="M"+f+","+h:(Math.abs(this._x1-f)>1e-6||Math.abs(this._y1-h)>1e-6)&&(this._+="L"+f+","+h),a&&(d<0&&(d=d%r+r),d>n?this._+="A"+a+","+a+",0,1,"+p+","+(t-c)+","+(i-u)+"A"+a+","+a+",0,1,"+p+","+(this._x1=f)+","+(this._y1=h):d>1e-6&&(this._+="A"+a+","+a+",0,"+ +(d>=e)+","+p+","+(this._x1=t+a*Math.cos(s))+","+(this._y1=i+a*Math.sin(s))))},rect:function(t,e,r,n){this._+="M"+(this._x0=this._x1=+t)+","+(this._y0=this._y1=+e)+"h"+ +r+"v"+ +n+"h"+-r+"Z"},toString:function(){return this._}},t.path=a,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],113:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e,r,n){if(isNaN(e)||isNaN(r))return t;var i,a,o,s,l,c,u,f,h,p=t._root,d={data:n},m=t._x0,g=t._y0,v=t._x1,y=t._y1;if(!p)return t._root=d,t;for(;p.length;)if((c=e>=(a=(m+v)/2))?m=a:v=a,(u=r>=(o=(g+y)/2))?g=o:y=o,i=p,!(p=p[f=u<<1|c]))return i[f]=d,t;if(s=+t._x.call(null,p.data),l=+t._y.call(null,p.data),e===s&&r===l)return d.next=p,i?i[f]=d:t._root=d,t;do{i=i?i[f]=new Array(4):t._root=new Array(4),(c=e>=(a=(m+v)/2))?m=a:v=a,(u=r>=(o=(g+y)/2))?g=o:y=o}while((f=u<<1|c)==(h=(l>=o)<<1|s>=a));return i[h]=p,i[f]=d,t}function r(t,e,r,n,i){this.node=t,this.x0=e,this.y0=r,this.x1=n,this.y1=i}function n(t){return t[0]}function i(t){return t[1]}function a(t,e,r){var a=new o(null==e?n:e,null==r?i:r,NaN,NaN,NaN,NaN);return null==t?a:a.addAll(t)}function o(t,e,r,n,i,a){this._x=t,this._y=e,this._x0=r,this._y0=n,this._x1=i,this._y1=a,this._root=void 0}function s(t){for(var e={data:t.data},r=e;t=t.next;)r=r.next={data:t.data};return e}var l=a.prototype=o.prototype;l.copy=function(){var t,e,r=new o(this._x,this._y,this._x0,this._y0,this._x1,this._y1),n=this._root;if(!n)return r;if(!n.length)return r._root=s(n),r;for(t=[{source:n,target:r._root=new Array(4)}];n=t.pop();)for(var i=0;i<4;++i)(e=n.source[i])&&(e.length?t.push({source:e,target:n.target[i]=new Array(4)}):n.target[i]=s(e));return r},l.add=function(t){var r=+this._x.call(null,t),n=+this._y.call(null,t);return e(this.cover(r,n),r,n,t)},l.addAll=function(t){var r,n,i,a,o=t.length,s=new Array(o),l=new Array(o),c=1/0,u=1/0,f=-1/0,h=-1/0;for(n=0;n<o;++n)isNaN(i=+this._x.call(null,r=t[n]))||isNaN(a=+this._y.call(null,r))||(s[n]=i,l[n]=a,i<c&&(c=i),i>f&&(f=i),a<u&&(u=a),a>h&&(h=a));if(c>f||u>h)return this;for(this.cover(c,u).cover(f,h),n=0;n<o;++n)e(this,s[n],l[n],t[n]);return this},l.cover=function(t,e){if(isNaN(t=+t)||isNaN(e=+e))return this;var r=this._x0,n=this._y0,i=this._x1,a=this._y1;if(isNaN(r))i=(r=Math.floor(t))+1,a=(n=Math.floor(e))+1;else{for(var o,s,l=i-r,c=this._root;r>t||t>=i||n>e||e>=a;)switch(s=(e<n)<<1|t<r,(o=new Array(4))[s]=c,c=o,l*=2,s){case 0:i=r+l,a=n+l;break;case 1:r=i-l,a=n+l;break;case 2:i=r+l,n=a-l;break;case 3:r=i-l,n=a-l}this._root&&this._root.length&&(this._root=c)}return this._x0=r,this._y0=n,this._x1=i,this._y1=a,this},l.data=function(){var t=[];return this.visit((function(e){if(!e.length)do{t.push(e.data)}while(e=e.next)})),t},l.extent=function(t){return arguments.length?this.cover(+t[0][0],+t[0][1]).cover(+t[1][0],+t[1][1]):isNaN(this._x0)?void 0:[[this._x0,this._y0],[this._x1,this._y1]]},l.find=function(t,e,n){var i,a,o,s,l,c,u,f=this._x0,h=this._y0,p=this._x1,d=this._y1,m=[],g=this._root;for(g&&m.push(new r(g,f,h,p,d)),null==n?n=1/0:(f=t-n,h=e-n,p=t+n,d=e+n,n*=n);c=m.pop();)if(!(!(g=c.node)||(a=c.x0)>p||(o=c.y0)>d||(s=c.x1)<f||(l=c.y1)<h))if(g.length){var v=(a+s)/2,y=(o+l)/2;m.push(new r(g[3],v,y,s,l),new r(g[2],a,y,v,l),new r(g[1],v,o,s,y),new r(g[0],a,o,v,y)),(u=(e>=y)<<1|t>=v)&&(c=m[m.length-1],m[m.length-1]=m[m.length-1-u],m[m.length-1-u]=c)}else{var x=t-+this._x.call(null,g.data),b=e-+this._y.call(null,g.data),_=x*x+b*b;if(_<n){var w=Math.sqrt(n=_);f=t-w,h=e-w,p=t+w,d=e+w,i=g.data}}return i},l.remove=function(t){if(isNaN(a=+this._x.call(null,t))||isNaN(o=+this._y.call(null,t)))return this;var e,r,n,i,a,o,s,l,c,u,f,h,p=this._root,d=this._x0,m=this._y0,g=this._x1,v=this._y1;if(!p)return this;if(p.length)for(;;){if((c=a>=(s=(d+g)/2))?d=s:g=s,(u=o>=(l=(m+v)/2))?m=l:v=l,e=p,!(p=p[f=u<<1|c]))return this;if(!p.length)break;(e[f+1&3]||e[f+2&3]||e[f+3&3])&&(r=e,h=f)}for(;p.data!==t;)if(n=p,!(p=p.next))return this;return(i=p.next)&&delete p.next,n?(i?n.next=i:delete n.next,this):e?(i?e[f]=i:delete e[f],(p=e[0]||e[1]||e[2]||e[3])&&p===(e[3]||e[2]||e[1]||e[0])&&!p.length&&(r?r[h]=p:this._root=p),this):(this._root=i,this)},l.removeAll=function(t){for(var e=0,r=t.length;e<r;++e)this.remove(t[e]);return this},l.root=function(){return this._root},l.size=function(){var t=0;return this.visit((function(e){if(!e.length)do{++t}while(e=e.next)})),t},l.visit=function(t){var e,n,i,a,o,s,l=[],c=this._root;for(c&&l.push(new r(c,this._x0,this._y0,this._x1,this._y1));e=l.pop();)if(!t(c=e.node,i=e.x0,a=e.y0,o=e.x1,s=e.y1)&&c.length){var u=(i+o)/2,f=(a+s)/2;(n=c[3])&&l.push(new r(n,u,f,o,s)),(n=c[2])&&l.push(new r(n,i,f,u,s)),(n=c[1])&&l.push(new r(n,u,a,o,f)),(n=c[0])&&l.push(new r(n,i,a,u,f))}return this},l.visitAfter=function(t){var e,n=[],i=[];for(this._root&&n.push(new r(this._root,this._x0,this._y0,this._x1,this._y1));e=n.pop();){var a=e.node;if(a.length){var o,s=e.x0,l=e.y0,c=e.x1,u=e.y1,f=(s+c)/2,h=(l+u)/2;(o=a[0])&&n.push(new r(o,s,l,f,h)),(o=a[1])&&n.push(new r(o,f,l,c,h)),(o=a[2])&&n.push(new r(o,s,h,f,u)),(o=a[3])&&n.push(new r(o,f,h,c,u))}i.push(e)}for(;e=i.pop();)t(e.node,e.x0,e.y0,e.x1,e.y1);return this},l.x=function(t){return arguments.length?(this._x=t,this):this._x},l.y=function(t){return arguments.length?(this._y=t,this):this._y},t.quadtree=a,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],114:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-path")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(t){return function(){return t}}var n=Math.abs,i=Math.atan2,a=Math.cos,o=Math.max,s=Math.min,l=Math.sin,c=Math.sqrt,u=Math.PI,f=u/2,h=2*u;function p(t){return t>1?0:t<-1?u:Math.acos(t)}function d(t){return t>=1?f:t<=-1?-f:Math.asin(t)}function m(t){return t.innerRadius}function g(t){return t.outerRadius}function v(t){return t.startAngle}function y(t){return t.endAngle}function x(t){return t&&t.padAngle}function b(t,e,r,n,i,a,o,s){var l=r-t,c=n-e,u=o-i,f=s-a,h=f*l-u*c;if(!(h*h<1e-12))return[t+(h=(u*(e-a)-f*(t-i))/h)*l,e+h*c]}function _(t,e,r,n,i,a,s){var l=t-r,u=e-n,f=(s?a:-a)/c(l*l+u*u),h=f*u,p=-f*l,d=t+h,m=e+p,g=r+h,v=n+p,y=(d+g)/2,x=(m+v)/2,b=g-d,_=v-m,w=b*b+_*_,T=i-a,k=d*v-g*m,A=(_<0?-1:1)*c(o(0,T*T*w-k*k)),M=(k*_-b*A)/w,S=(-k*b-_*A)/w,E=(k*_+b*A)/w,L=(-k*b+_*A)/w,C=M-y,P=S-x,I=E-y,O=L-x;return C*C+P*P>I*I+O*O&&(M=E,S=L),{cx:M,cy:S,x01:-h,y01:-p,x11:M*(i/T-1),y11:S*(i/T-1)}}function w(t){this._context=t}function T(t){return new w(t)}function k(t){return t[0]}function A(t){return t[1]}function M(){var t=k,n=A,i=r(!0),a=null,o=T,s=null;function l(r){var l,c,u,f=r.length,h=!1;for(null==a&&(s=o(u=e.path())),l=0;l<=f;++l)!(l<f&&i(c=r[l],l,r))===h&&((h=!h)?s.lineStart():s.lineEnd()),h&&s.point(+t(c,l,r),+n(c,l,r));if(u)return s=null,u+""||null}return l.x=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),l):t},l.y=function(t){return arguments.length?(n="function"==typeof t?t:r(+t),l):n},l.defined=function(t){return arguments.length?(i="function"==typeof t?t:r(!!t),l):i},l.curve=function(t){return arguments.length?(o=t,null!=a&&(s=o(a)),l):o},l.context=function(t){return arguments.length?(null==t?a=s=null:s=o(a=t),l):a},l}function S(){var t=k,n=null,i=r(0),a=A,o=r(!0),s=null,l=T,c=null;function u(r){var u,f,h,p,d,m=r.length,g=!1,v=new Array(m),y=new Array(m);for(null==s&&(c=l(d=e.path())),u=0;u<=m;++u){if(!(u<m&&o(p=r[u],u,r))===g)if(g=!g)f=u,c.areaStart(),c.lineStart();else{for(c.lineEnd(),c.lineStart(),h=u-1;h>=f;--h)c.point(v[h],y[h]);c.lineEnd(),c.areaEnd()}g&&(v[u]=+t(p,u,r),y[u]=+i(p,u,r),c.point(n?+n(p,u,r):v[u],a?+a(p,u,r):y[u]))}if(d)return c=null,d+""||null}function f(){return M().defined(o).curve(l).context(s)}return u.x=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),n=null,u):t},u.x0=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),u):t},u.x1=function(t){return arguments.length?(n=null==t?null:"function"==typeof t?t:r(+t),u):n},u.y=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),a=null,u):i},u.y0=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),u):i},u.y1=function(t){return arguments.length?(a=null==t?null:"function"==typeof t?t:r(+t),u):a},u.lineX0=u.lineY0=function(){return f().x(t).y(i)},u.lineY1=function(){return f().x(t).y(a)},u.lineX1=function(){return f().x(n).y(i)},u.defined=function(t){return arguments.length?(o="function"==typeof t?t:r(!!t),u):o},u.curve=function(t){return arguments.length?(l=t,null!=s&&(c=l(s)),u):l},u.context=function(t){return arguments.length?(null==t?s=c=null:c=l(s=t),u):s},u}function E(t,e){return e<t?-1:e>t?1:e>=t?0:NaN}function L(t){return t}w.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._point=0},lineEnd:function(){(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:this._context.lineTo(t,e)}}};var C=I(T);function P(t){this._curve=t}function I(t){function e(e){return new P(t(e))}return e._curve=t,e}function O(t){var e=t.curve;return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t.curve=function(t){return arguments.length?e(I(t)):e()._curve},t}function z(){return O(M().curve(C))}function D(){var t=S().curve(C),e=t.curve,r=t.lineX0,n=t.lineX1,i=t.lineY0,a=t.lineY1;return t.angle=t.x,delete t.x,t.startAngle=t.x0,delete t.x0,t.endAngle=t.x1,delete t.x1,t.radius=t.y,delete t.y,t.innerRadius=t.y0,delete t.y0,t.outerRadius=t.y1,delete t.y1,t.lineStartAngle=function(){return O(r())},delete t.lineX0,t.lineEndAngle=function(){return O(n())},delete t.lineX1,t.lineInnerRadius=function(){return O(i())},delete t.lineY0,t.lineOuterRadius=function(){return O(a())},delete t.lineY1,t.curve=function(t){return arguments.length?e(I(t)):e()._curve},t}function R(t,e){return[(e=+e)*Math.cos(t-=Math.PI/2),e*Math.sin(t)]}P.prototype={areaStart:function(){this._curve.areaStart()},areaEnd:function(){this._curve.areaEnd()},lineStart:function(){this._curve.lineStart()},lineEnd:function(){this._curve.lineEnd()},point:function(t,e){this._curve.point(e*Math.sin(t),e*-Math.cos(t))}};var F=Array.prototype.slice;function B(t){return t.source}function N(t){return t.target}function j(t){var n=B,i=N,a=k,o=A,s=null;function l(){var r,l=F.call(arguments),c=n.apply(this,l),u=i.apply(this,l);if(s||(s=r=e.path()),t(s,+a.apply(this,(l[0]=c,l)),+o.apply(this,l),+a.apply(this,(l[0]=u,l)),+o.apply(this,l)),r)return s=null,r+""||null}return l.source=function(t){return arguments.length?(n=t,l):n},l.target=function(t){return arguments.length?(i=t,l):i},l.x=function(t){return arguments.length?(a="function"==typeof t?t:r(+t),l):a},l.y=function(t){return arguments.length?(o="function"==typeof t?t:r(+t),l):o},l.context=function(t){return arguments.length?(s=null==t?null:t,l):s},l}function U(t,e,r,n,i){t.moveTo(e,r),t.bezierCurveTo(e=(e+n)/2,r,e,i,n,i)}function V(t,e,r,n,i){t.moveTo(e,r),t.bezierCurveTo(e,r=(r+i)/2,n,r,n,i)}function H(t,e,r,n,i){var a=R(e,r),o=R(e,r=(r+i)/2),s=R(n,r),l=R(n,i);t.moveTo(a[0],a[1]),t.bezierCurveTo(o[0],o[1],s[0],s[1],l[0],l[1])}var q={draw:function(t,e){var r=Math.sqrt(e/u);t.moveTo(r,0),t.arc(0,0,r,0,h)}},G={draw:function(t,e){var r=Math.sqrt(e/5)/2;t.moveTo(-3*r,-r),t.lineTo(-r,-r),t.lineTo(-r,-3*r),t.lineTo(r,-3*r),t.lineTo(r,-r),t.lineTo(3*r,-r),t.lineTo(3*r,r),t.lineTo(r,r),t.lineTo(r,3*r),t.lineTo(-r,3*r),t.lineTo(-r,r),t.lineTo(-3*r,r),t.closePath()}},Y=Math.sqrt(1/3),W=2*Y,X={draw:function(t,e){var r=Math.sqrt(e/W),n=r*Y;t.moveTo(0,-r),t.lineTo(n,0),t.lineTo(0,r),t.lineTo(-n,0),t.closePath()}},Z=Math.sin(u/10)/Math.sin(7*u/10),J=Math.sin(h/10)*Z,K=-Math.cos(h/10)*Z,Q={draw:function(t,e){var r=Math.sqrt(.8908130915292852*e),n=J*r,i=K*r;t.moveTo(0,-r),t.lineTo(n,i);for(var a=1;a<5;++a){var o=h*a/5,s=Math.cos(o),l=Math.sin(o);t.lineTo(l*r,-s*r),t.lineTo(s*n-l*i,l*n+s*i)}t.closePath()}},$={draw:function(t,e){var r=Math.sqrt(e),n=-r/2;t.rect(n,n,r,r)}},tt=Math.sqrt(3),et={draw:function(t,e){var r=-Math.sqrt(e/(3*tt));t.moveTo(0,2*r),t.lineTo(-tt*r,-r),t.lineTo(tt*r,-r),t.closePath()}},rt=-.5,nt=Math.sqrt(3)/2,it=1/Math.sqrt(12),at=3*(it/2+1),ot={draw:function(t,e){var r=Math.sqrt(e/at),n=r/2,i=r*it,a=n,o=r*it+r,s=-a,l=o;t.moveTo(n,i),t.lineTo(a,o),t.lineTo(s,l),t.lineTo(rt*n-nt*i,nt*n+rt*i),t.lineTo(rt*a-nt*o,nt*a+rt*o),t.lineTo(rt*s-nt*l,nt*s+rt*l),t.lineTo(rt*n+nt*i,rt*i-nt*n),t.lineTo(rt*a+nt*o,rt*o-nt*a),t.lineTo(rt*s+nt*l,rt*l-nt*s),t.closePath()}},st=[q,G,X,$,Q,et,ot];function lt(){}function ct(t,e,r){t._context.bezierCurveTo((2*t._x0+t._x1)/3,(2*t._y0+t._y1)/3,(t._x0+2*t._x1)/3,(t._y0+2*t._y1)/3,(t._x0+4*t._x1+e)/6,(t._y0+4*t._y1+r)/6)}function ut(t){this._context=t}function ft(t){this._context=t}function ht(t){this._context=t}function pt(t,e){this._basis=new ut(t),this._beta=e}ut.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){switch(this._point){case 3:ct(this,this._x1,this._y1);case 2:this._context.lineTo(this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,this._context.lineTo((5*this._x0+this._x1)/6,(5*this._y0+this._y1)/6);default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._y0=this._y1=this._y2=this._y3=this._y4=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x2,this._y2),this._context.closePath();break;case 2:this._context.moveTo((this._x2+2*this._x3)/3,(this._y2+2*this._y3)/3),this._context.lineTo((this._x3+2*this._x2)/3,(this._y3+2*this._y2)/3),this._context.closePath();break;case 3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x2=t,this._y2=e;break;case 1:this._point=2,this._x3=t,this._y3=e;break;case 2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ht.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var n,i=t[0],a=e[0],o=t[r]-i,s=e[r]-a,l=-1;++l<=r;)n=l/r,this._basis.point(this._beta*t[l]+(1-this._beta)*(i+n*o),this._beta*e[l]+(1-this._beta)*(a+n*s));this._x=this._y=null,this._basis.lineEnd()},point:function(t,e){this._x.push(+t),this._y.push(+e)}};var dt=function t(e){function r(t){return 1===e?new ut(t):new pt(t,e)}return r.beta=function(e){return t(+e)},r}(.85);function mt(t,e,r){t._context.bezierCurveTo(t._x1+t._k*(t._x2-t._x0),t._y1+t._k*(t._y2-t._y0),t._x2+t._k*(t._x1-e),t._y2+t._k*(t._y1-r),t._x2,t._y2)}function gt(t,e){this._context=t,this._k=(1-e)/6}gt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:mt(this,this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2,this._x1=t,this._y1=e;break;case 2:this._point=3;default:mt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var vt=function t(e){function r(t){return new gt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function yt(t,e){this._context=t,this._k=(1-e)/6}yt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:mt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var xt=function t(e){function r(t){return new yt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function bt(t,e){this._context=t,this._k=(1-e)/6}bt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:mt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var _t=function t(e){function r(t){return new bt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function wt(t,e,r){var n=t._x1,i=t._y1,a=t._x2,o=t._y2;if(t._l01_a>1e-12){var s=2*t._l01_2a+3*t._l01_a*t._l12_a+t._l12_2a,l=3*t._l01_a*(t._l01_a+t._l12_a);n=(n*s-t._x0*t._l12_2a+t._x2*t._l01_2a)/l,i=(i*s-t._y0*t._l12_2a+t._y2*t._l01_2a)/l}if(t._l23_a>1e-12){var c=2*t._l23_2a+3*t._l23_a*t._l12_a+t._l12_2a,u=3*t._l23_a*(t._l23_a+t._l12_a);a=(a*c+t._x1*t._l23_2a-e*t._l12_2a)/u,o=(o*c+t._y1*t._l23_2a-r*t._l12_2a)/u}t._context.bezierCurveTo(n,i,a,o,t._x2,t._y2)}function Tt(t,e){this._context=t,this._alpha=e}Tt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var kt=function t(e){function r(t){return e?new Tt(t,e):new gt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function At(t,e){this._context=t,this._alpha=e}At.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var Mt=function t(e){function r(t){return e?new At(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function St(t,e){this._context=t,this._alpha=e}St.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var Et=function t(e){function r(t){return e?new St(t,e):new bt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function Lt(t){this._context=t}function Ct(t){return t<0?-1:1}function Pt(t,e,r){var n=t._x1-t._x0,i=e-t._x1,a=(t._y1-t._y0)/(n||i<0&&-0),o=(r-t._y1)/(i||n<0&&-0),s=(a*i+o*n)/(n+i);return(Ct(a)+Ct(o))*Math.min(Math.abs(a),Math.abs(o),.5*Math.abs(s))||0}function It(t,e){var r=t._x1-t._x0;return r?(3*(t._y1-t._y0)/r-e)/2:e}function Ot(t,e,r){var n=t._x0,i=t._y0,a=t._x1,o=t._y1,s=(a-n)/3;t._context.bezierCurveTo(n+s,i+s*e,a-s,o-s*r,a,o)}function zt(t){this._context=t}function Dt(t){this._context=new Rt(t)}function Rt(t){this._context=t}function Ft(t){this._context=t}function Bt(t){var e,r,n=t.length-1,i=new Array(n),a=new Array(n),o=new Array(n);for(i[0]=0,a[0]=2,o[0]=t[0]+2*t[1],e=1;e<n-1;++e)i[e]=1,a[e]=4,o[e]=4*t[e]+2*t[e+1];for(i[n-1]=2,a[n-1]=7,o[n-1]=8*t[n-1]+t[n],e=1;e<n;++e)r=i[e]/a[e-1],a[e]-=r,o[e]-=r*o[e-1];for(i[n-1]=o[n-1]/a[n-1],e=n-2;e>=0;--e)i[e]=(o[e]-i[e+1])/a[e];for(a[n-1]=(t[n]+i[n-1])/2,e=0;e<n-1;++e)a[e]=2*t[e+1]-i[e+1];return[i,a]}function Nt(t,e){this._context=t,this._t=e}function jt(t,e){if((i=t.length)>1)for(var r,n,i,a=1,o=t[e[0]],s=o.length;a<i;++a)for(n=o,o=t[e[a]],r=0;r<s;++r)o[r][1]+=o[r][0]=isNaN(n[r][1])?n[r][0]:n[r][1]}function Ut(t){for(var e=t.length,r=new Array(e);--e>=0;)r[e]=e;return r}function Vt(t,e){return t[e]}function Ht(t){var e=t.map(qt);return Ut(t).sort((function(t,r){return e[t]-e[r]}))}function qt(t){for(var e,r=-1,n=0,i=t.length,a=-1/0;++r<i;)(e=+t[r][1])>a&&(a=e,n=r);return n}function Gt(t){var e=t.map(Yt);return Ut(t).sort((function(t,r){return e[t]-e[r]}))}function Yt(t){for(var e,r=0,n=-1,i=t.length;++n<i;)(e=+t[n][1])&&(r+=e);return r}Lt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(t,e){t=+t,e=+e,this._point?this._context.lineTo(t,e):(this._point=1,this._context.moveTo(t,e))}},zt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:Ot(this,this._t0,It(this,this._t0))}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){var r=NaN;if(e=+e,(t=+t)!==this._x1||e!==this._y1){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,Ot(this,It(this,r=Pt(this,t,e)),r);break;default:Ot(this,this._t0,r=Pt(this,t,e))}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e,this._t0=r}}},(Dt.prototype=Object.create(zt.prototype)).point=function(t,e){zt.prototype.point.call(this,e,t)},Rt.prototype={moveTo:function(t,e){this._context.moveTo(e,t)},closePath:function(){this._context.closePath()},lineTo:function(t,e){this._context.lineTo(e,t)},bezierCurveTo:function(t,e,r,n,i,a){this._context.bezierCurveTo(e,t,n,r,a,i)}},Ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var t=this._x,e=this._y,r=t.length;if(r)if(this._line?this._context.lineTo(t[0],e[0]):this._context.moveTo(t[0],e[0]),2===r)this._context.lineTo(t[1],e[1]);else for(var n=Bt(t),i=Bt(e),a=0,o=1;o<r;++a,++o)this._context.bezierCurveTo(n[0][a],i[0][a],n[1][a],i[1][a],t[o],e[o]);(this._line||0!==this._line&&1===r)&&this._context.closePath(),this._line=1-this._line,this._x=this._y=null},point:function(t,e){this._x.push(+t),this._y.push(+e)}},Nt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=this._y=NaN,this._point=0},lineEnd:function(){0<this._t&&this._t<1&&2===this._point&&this._context.lineTo(this._x,this._y),(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line>=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:if(this._t<=0)this._context.lineTo(this._x,e),this._context.lineTo(t,e);else{var r=this._x*(1-this._t)+t*this._t;this._context.lineTo(r,this._y),this._context.lineTo(r,e)}}this._x=t,this._y=e}},t.arc=function(){var t=m,o=g,w=r(0),T=null,k=v,A=y,M=x,S=null;function E(){var r,m,g=+t.apply(this,arguments),v=+o.apply(this,arguments),y=k.apply(this,arguments)-f,x=A.apply(this,arguments)-f,E=n(x-y),L=x>y;if(S||(S=r=e.path()),v<g&&(m=v,v=g,g=m),v>1e-12)if(E>h-1e-12)S.moveTo(v*a(y),v*l(y)),S.arc(0,0,v,y,x,!L),g>1e-12&&(S.moveTo(g*a(x),g*l(x)),S.arc(0,0,g,x,y,L));else{var C,P,I=y,O=x,z=y,D=x,R=E,F=E,B=M.apply(this,arguments)/2,N=B>1e-12&&(T?+T.apply(this,arguments):c(g*g+v*v)),j=s(n(v-g)/2,+w.apply(this,arguments)),U=j,V=j;if(N>1e-12){var H=d(N/g*l(B)),q=d(N/v*l(B));(R-=2*H)>1e-12?(z+=H*=L?1:-1,D-=H):(R=0,z=D=(y+x)/2),(F-=2*q)>1e-12?(I+=q*=L?1:-1,O-=q):(F=0,I=O=(y+x)/2)}var G=v*a(I),Y=v*l(I),W=g*a(D),X=g*l(D);if(j>1e-12){var Z,J=v*a(O),K=v*l(O),Q=g*a(z),$=g*l(z);if(E<u&&(Z=b(G,Y,Q,$,J,K,W,X))){var tt=G-Z[0],et=Y-Z[1],rt=J-Z[0],nt=K-Z[1],it=1/l(p((tt*rt+et*nt)/(c(tt*tt+et*et)*c(rt*rt+nt*nt)))/2),at=c(Z[0]*Z[0]+Z[1]*Z[1]);U=s(j,(g-at)/(it-1)),V=s(j,(v-at)/(it+1))}}F>1e-12?V>1e-12?(C=_(Q,$,G,Y,v,V,L),P=_(J,K,W,X,v,V,L),S.moveTo(C.cx+C.x01,C.cy+C.y01),V<j?S.arc(C.cx,C.cy,V,i(C.y01,C.x01),i(P.y01,P.x01),!L):(S.arc(C.cx,C.cy,V,i(C.y01,C.x01),i(C.y11,C.x11),!L),S.arc(0,0,v,i(C.cy+C.y11,C.cx+C.x11),i(P.cy+P.y11,P.cx+P.x11),!L),S.arc(P.cx,P.cy,V,i(P.y11,P.x11),i(P.y01,P.x01),!L))):(S.moveTo(G,Y),S.arc(0,0,v,I,O,!L)):S.moveTo(G,Y),g>1e-12&&R>1e-12?U>1e-12?(C=_(W,X,J,K,g,-U,L),P=_(G,Y,Q,$,g,-U,L),S.lineTo(C.cx+C.x01,C.cy+C.y01),U<j?S.arc(C.cx,C.cy,U,i(C.y01,C.x01),i(P.y01,P.x01),!L):(S.arc(C.cx,C.cy,U,i(C.y01,C.x01),i(C.y11,C.x11),!L),S.arc(0,0,g,i(C.cy+C.y11,C.cx+C.x11),i(P.cy+P.y11,P.cx+P.x11),L),S.arc(P.cx,P.cy,U,i(P.y11,P.x11),i(P.y01,P.x01),!L))):S.arc(0,0,g,D,z,L):S.lineTo(W,X)}else S.moveTo(0,0);if(S.closePath(),r)return S=null,r+""||null}return E.centroid=function(){var e=(+t.apply(this,arguments)+ +o.apply(this,arguments))/2,r=(+k.apply(this,arguments)+ +A.apply(this,arguments))/2-u/2;return[a(r)*e,l(r)*e]},E.innerRadius=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),E):t},E.outerRadius=function(t){return arguments.length?(o="function"==typeof t?t:r(+t),E):o},E.cornerRadius=function(t){return arguments.length?(w="function"==typeof t?t:r(+t),E):w},E.padRadius=function(t){return arguments.length?(T=null==t?null:"function"==typeof t?t:r(+t),E):T},E.startAngle=function(t){return arguments.length?(k="function"==typeof t?t:r(+t),E):k},E.endAngle=function(t){return arguments.length?(A="function"==typeof t?t:r(+t),E):A},E.padAngle=function(t){return arguments.length?(M="function"==typeof t?t:r(+t),E):M},E.context=function(t){return arguments.length?(S=null==t?null:t,E):S},E},t.area=S,t.areaRadial=D,t.curveBasis=function(t){return new ut(t)},t.curveBasisClosed=function(t){return new ft(t)},t.curveBasisOpen=function(t){return new ht(t)},t.curveBundle=dt,t.curveCardinal=vt,t.curveCardinalClosed=xt,t.curveCardinalOpen=_t,t.curveCatmullRom=kt,t.curveCatmullRomClosed=Mt,t.curveCatmullRomOpen=Et,t.curveLinear=T,t.curveLinearClosed=function(t){return new Lt(t)},t.curveMonotoneX=function(t){return new zt(t)},t.curveMonotoneY=function(t){return new Dt(t)},t.curveNatural=function(t){return new Ft(t)},t.curveStep=function(t){return new Nt(t,.5)},t.curveStepAfter=function(t){return new Nt(t,1)},t.curveStepBefore=function(t){return new Nt(t,0)},t.line=M,t.lineRadial=z,t.linkHorizontal=function(){return j(U)},t.linkRadial=function(){var t=j(H);return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t},t.linkVertical=function(){return j(V)},t.pie=function(){var t=L,e=E,n=null,i=r(0),a=r(h),o=r(0);function s(r){var s,l,c,u,f,p=r.length,d=0,m=new Array(p),g=new Array(p),v=+i.apply(this,arguments),y=Math.min(h,Math.max(-h,a.apply(this,arguments)-v)),x=Math.min(Math.abs(y)/p,o.apply(this,arguments)),b=x*(y<0?-1:1);for(s=0;s<p;++s)(f=g[m[s]=s]=+t(r[s],s,r))>0&&(d+=f);for(null!=e?m.sort((function(t,r){return e(g[t],g[r])})):null!=n&&m.sort((function(t,e){return n(r[t],r[e])})),s=0,c=d?(y-p*b)/d:0;s<p;++s,v=u)l=m[s],u=v+((f=g[l])>0?f*c:0)+b,g[l]={data:r[l],index:s,value:f,startAngle:v,endAngle:u,padAngle:x};return g}return s.value=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),s):t},s.sortValues=function(t){return arguments.length?(e=t,n=null,s):e},s.sort=function(t){return arguments.length?(n=t,e=null,s):n},s.startAngle=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),s):i},s.endAngle=function(t){return arguments.length?(a="function"==typeof t?t:r(+t),s):a},s.padAngle=function(t){return arguments.length?(o="function"==typeof t?t:r(+t),s):o},s},t.pointRadial=R,t.radialArea=D,t.radialLine=z,t.stack=function(){var t=r([]),e=Ut,n=jt,i=Vt;function a(r){var a,o,s=t.apply(this,arguments),l=r.length,c=s.length,u=new Array(c);for(a=0;a<c;++a){for(var f,h=s[a],p=u[a]=new Array(l),d=0;d<l;++d)p[d]=f=[0,+i(r[d],h,d,r)],f.data=r[d];p.key=h}for(a=0,o=e(u);a<c;++a)u[o[a]].index=a;return n(u,o),u}return a.keys=function(e){return arguments.length?(t="function"==typeof e?e:r(F.call(e)),a):t},a.value=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),a):i},a.order=function(t){return arguments.length?(e=null==t?Ut:"function"==typeof t?t:r(F.call(t)),a):e},a.offset=function(t){return arguments.length?(n=null==t?jt:t,a):n},a},t.stackOffsetDiverging=function(t,e){if((s=t.length)>0)for(var r,n,i,a,o,s,l=0,c=t[e[0]].length;l<c;++l)for(a=o=0,r=0;r<s;++r)(i=(n=t[e[r]][l])[1]-n[0])>0?(n[0]=a,n[1]=a+=i):i<0?(n[1]=o,n[0]=o+=i):(n[0]=0,n[1]=i)},t.stackOffsetExpand=function(t,e){if((n=t.length)>0){for(var r,n,i,a=0,o=t[0].length;a<o;++a){for(i=r=0;r<n;++r)i+=t[r][a][1]||0;if(i)for(r=0;r<n;++r)t[r][a][1]/=i}jt(t,e)}},t.stackOffsetNone=jt,t.stackOffsetSilhouette=function(t,e){if((r=t.length)>0){for(var r,n=0,i=t[e[0]],a=i.length;n<a;++n){for(var o=0,s=0;o<r;++o)s+=t[o][n][1]||0;i[n][1]+=i[n][0]=-s/2}jt(t,e)}},t.stackOffsetWiggle=function(t,e){if((i=t.length)>0&&(n=(r=t[e[0]]).length)>0){for(var r,n,i,a=0,o=1;o<n;++o){for(var s=0,l=0,c=0;s<i;++s){for(var u=t[e[s]],f=u[o][1]||0,h=(f-(u[o-1][1]||0))/2,p=0;p<s;++p){var d=t[e[p]];h+=(d[o][1]||0)-(d[o-1][1]||0)}l+=f,c+=h*f}r[o-1][1]+=r[o-1][0]=a,l&&(a-=c/l)}r[o-1][1]+=r[o-1][0]=a,jt(t,e)}},t.stackOrderAppearance=Ht,t.stackOrderAscending=Gt,t.stackOrderDescending=function(t){return Gt(t).reverse()},t.stackOrderInsideOut=function(t){var e,r,n=t.length,i=t.map(Yt),a=Ht(t),o=0,s=0,l=[],c=[];for(e=0;e<n;++e)r=a[e],o<s?(o+=i[r],l.push(r)):(s+=i[r],c.push(r));return c.reverse().concat(l)},t.stackOrderNone=Ut,t.stackOrderReverse=function(t){return Ut(t).reverse()},t.symbol=function(){var t=r(q),n=r(64),i=null;function a(){var r;if(i||(i=r=e.path()),t.apply(this,arguments).draw(i,+n.apply(this,arguments)),r)return i=null,r+""||null}return a.type=function(e){return arguments.length?(t="function"==typeof e?e:r(e),a):t},a.size=function(t){return arguments.length?(n="function"==typeof t?t:r(+t),a):n},a.context=function(t){return arguments.length?(i=null==t?null:t,a):i},a},t.symbolCircle=q,t.symbolCross=G,t.symbolDiamond=X,t.symbolSquare=$,t.symbolStar=Q,t.symbolTriangle=et,t.symbolWye=ot,t.symbols=st,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-path":112}],115:[function(t,e,r){!function(n,i){"object"==typeof r&&void 0!==e?i(r,t("d3-time")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(t){if(0<=t.y&&t.y<100){var e=new Date(-1,t.m,t.d,t.H,t.M,t.S,t.L);return e.setFullYear(t.y),e}return new Date(t.y,t.m,t.d,t.H,t.M,t.S,t.L)}function n(t){if(0<=t.y&&t.y<100){var e=new Date(Date.UTC(-1,t.m,t.d,t.H,t.M,t.S,t.L));return e.setUTCFullYear(t.y),e}return new Date(Date.UTC(t.y,t.m,t.d,t.H,t.M,t.S,t.L))}function i(t,e,r){return{y:t,m:e,d:r,H:0,M:0,S:0,L:0}}function a(t){var a=t.dateTime,o=t.date,l=t.time,c=t.periods,u=t.days,f=t.shortDays,h=t.months,Y=t.shortMonths,ht=p(c),kt=d(c),At=p(u),Mt=d(u),St=p(f),Et=d(f),Lt=p(h),Ct=d(h),Pt=p(Y),It=d(Y),Ot={a:function(t){return f[t.getDay()]},A:function(t){return u[t.getDay()]},b:function(t){return Y[t.getMonth()]},B:function(t){return h[t.getMonth()]},c:null,d:D,e:D,f:j,g:K,G:$,H:R,I:F,j:B,L:N,m:U,M:V,p:function(t){return c[+(t.getHours()>=12)]},q:function(t){return 1+~~(t.getMonth()/3)},Q:wt,s:Tt,S:H,u:q,U:G,V:W,w:X,W:Z,x:null,X:null,y:J,Y:Q,Z:tt,"%":_t},zt={a:function(t){return f[t.getUTCDay()]},A:function(t){return u[t.getUTCDay()]},b:function(t){return Y[t.getUTCMonth()]},B:function(t){return h[t.getUTCMonth()]},c:null,d:et,e:et,f:ot,g:vt,G:xt,H:rt,I:nt,j:it,L:at,m:st,M:lt,p:function(t){return c[+(t.getUTCHours()>=12)]},q:function(t){return 1+~~(t.getUTCMonth()/3)},Q:wt,s:Tt,S:ct,u:ut,U:ft,V:pt,w:dt,W:mt,x:null,X:null,y:gt,Y:yt,Z:bt,"%":_t},Dt={a:function(t,e,r){var n=St.exec(e.slice(r));return n?(t.w=Et[n[0].toLowerCase()],r+n[0].length):-1},A:function(t,e,r){var n=At.exec(e.slice(r));return n?(t.w=Mt[n[0].toLowerCase()],r+n[0].length):-1},b:function(t,e,r){var n=Pt.exec(e.slice(r));return n?(t.m=It[n[0].toLowerCase()],r+n[0].length):-1},B:function(t,e,r){var n=Lt.exec(e.slice(r));return n?(t.m=Ct[n[0].toLowerCase()],r+n[0].length):-1},c:function(t,e,r){return Bt(t,a,e,r)},d:A,e:A,f:P,g:_,G:b,H:S,I:S,j:M,L:C,m:k,M:E,p:function(t,e,r){var n=ht.exec(e.slice(r));return n?(t.p=kt[n[0].toLowerCase()],r+n[0].length):-1},q:T,Q:O,s:z,S:L,u:g,U:v,V:y,w:m,W:x,x:function(t,e,r){return Bt(t,o,e,r)},X:function(t,e,r){return Bt(t,l,e,r)},y:_,Y:b,Z:w,"%":I};function Rt(t,e){return function(r){var n,i,a,o=[],l=-1,c=0,u=t.length;for(r instanceof Date||(r=new Date(+r));++l<u;)37===t.charCodeAt(l)&&(o.push(t.slice(c,l)),null!=(i=s[n=t.charAt(++l)])?n=t.charAt(++l):i="e"===n?" ":"0",(a=e[n])&&(n=a(r,i)),o.push(n),c=l+1);return o.push(t.slice(c,l)),o.join("")}}function Ft(t,a){return function(o){var s,l,c=i(1900,void 0,1);if(Bt(c,t,o+="",0)!=o.length)return null;if("Q"in c)return new Date(c.Q);if("s"in c)return new Date(1e3*c.s+("L"in c?c.L:0));if(a&&!("Z"in c)&&(c.Z=0),"p"in c&&(c.H=c.H%12+12*c.p),void 0===c.m&&(c.m="q"in c?c.q:0),"V"in c){if(c.V<1||c.V>53)return null;"w"in c||(c.w=1),"Z"in c?(l=(s=n(i(c.y,0,1))).getUTCDay(),s=l>4||0===l?e.utcMonday.ceil(s):e.utcMonday(s),s=e.utcDay.offset(s,7*(c.V-1)),c.y=s.getUTCFullYear(),c.m=s.getUTCMonth(),c.d=s.getUTCDate()+(c.w+6)%7):(l=(s=r(i(c.y,0,1))).getDay(),s=l>4||0===l?e.timeMonday.ceil(s):e.timeMonday(s),s=e.timeDay.offset(s,7*(c.V-1)),c.y=s.getFullYear(),c.m=s.getMonth(),c.d=s.getDate()+(c.w+6)%7)}else("W"in c||"U"in c)&&("w"in c||(c.w="u"in c?c.u%7:"W"in c?1:0),l="Z"in c?n(i(c.y,0,1)).getUTCDay():r(i(c.y,0,1)).getDay(),c.m=0,c.d="W"in c?(c.w+6)%7+7*c.W-(l+5)%7:c.w+7*c.U-(l+6)%7);return"Z"in c?(c.H+=c.Z/100|0,c.M+=c.Z%100,n(c)):r(c)}}function Bt(t,e,r,n){for(var i,a,o=0,l=e.length,c=r.length;o<l;){if(n>=c)return-1;if(37===(i=e.charCodeAt(o++))){if(i=e.charAt(o++),!(a=Dt[i in s?e.charAt(o++):i])||(n=a(t,r,n))<0)return-1}else if(i!=r.charCodeAt(n++))return-1}return n}return Ot.x=Rt(o,Ot),Ot.X=Rt(l,Ot),Ot.c=Rt(a,Ot),zt.x=Rt(o,zt),zt.X=Rt(l,zt),zt.c=Rt(a,zt),{format:function(t){var e=Rt(t+="",Ot);return e.toString=function(){return t},e},parse:function(t){var e=Ft(t+="",!1);return e.toString=function(){return t},e},utcFormat:function(t){var e=Rt(t+="",zt);return e.toString=function(){return t},e},utcParse:function(t){var e=Ft(t+="",!0);return e.toString=function(){return t},e}}}var o,s={"-":"",_:" ",0:"0"},l=/^\s*\d+/,c=/^%/,u=/[\\^$*+?|[\]().{}]/g;function f(t,e,r){var n=t<0?"-":"",i=(n?-t:t)+"",a=i.length;return n+(a<r?new Array(r-a+1).join(e)+i:i)}function h(t){return t.replace(u,"\\$&")}function p(t){return new RegExp("^(?:"+t.map(h).join("|")+")","i")}function d(t){for(var e={},r=-1,n=t.length;++r<n;)e[t[r].toLowerCase()]=r;return e}function m(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.w=+n[0],r+n[0].length):-1}function g(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.u=+n[0],r+n[0].length):-1}function v(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.U=+n[0],r+n[0].length):-1}function y(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.V=+n[0],r+n[0].length):-1}function x(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.W=+n[0],r+n[0].length):-1}function b(t,e,r){var n=l.exec(e.slice(r,r+4));return n?(t.y=+n[0],r+n[0].length):-1}function _(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.y=+n[0]+(+n[0]>68?1900:2e3),r+n[0].length):-1}function w(t,e,r){var n=/^(Z)|([+-]\d\d)(?::?(\d\d))?/.exec(e.slice(r,r+6));return n?(t.Z=n[1]?0:-(n[2]+(n[3]||"00")),r+n[0].length):-1}function T(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.q=3*n[0]-3,r+n[0].length):-1}function k(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.m=n[0]-1,r+n[0].length):-1}function A(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.d=+n[0],r+n[0].length):-1}function M(t,e,r){var n=l.exec(e.slice(r,r+3));return n?(t.m=0,t.d=+n[0],r+n[0].length):-1}function S(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.H=+n[0],r+n[0].length):-1}function E(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.M=+n[0],r+n[0].length):-1}function L(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.S=+n[0],r+n[0].length):-1}function C(t,e,r){var n=l.exec(e.slice(r,r+3));return n?(t.L=+n[0],r+n[0].length):-1}function P(t,e,r){var n=l.exec(e.slice(r,r+6));return n?(t.L=Math.floor(n[0]/1e3),r+n[0].length):-1}function I(t,e,r){var n=c.exec(e.slice(r,r+1));return n?r+n[0].length:-1}function O(t,e,r){var n=l.exec(e.slice(r));return n?(t.Q=+n[0],r+n[0].length):-1}function z(t,e,r){var n=l.exec(e.slice(r));return n?(t.s=+n[0],r+n[0].length):-1}function D(t,e){return f(t.getDate(),e,2)}function R(t,e){return f(t.getHours(),e,2)}function F(t,e){return f(t.getHours()%12||12,e,2)}function B(t,r){return f(1+e.timeDay.count(e.timeYear(t),t),r,3)}function N(t,e){return f(t.getMilliseconds(),e,3)}function j(t,e){return N(t,e)+"000"}function U(t,e){return f(t.getMonth()+1,e,2)}function V(t,e){return f(t.getMinutes(),e,2)}function H(t,e){return f(t.getSeconds(),e,2)}function q(t){var e=t.getDay();return 0===e?7:e}function G(t,r){return f(e.timeSunday.count(e.timeYear(t)-1,t),r,2)}function Y(t){var r=t.getDay();return r>=4||0===r?e.timeThursday(t):e.timeThursday.ceil(t)}function W(t,r){return t=Y(t),f(e.timeThursday.count(e.timeYear(t),t)+(4===e.timeYear(t).getDay()),r,2)}function X(t){return t.getDay()}function Z(t,r){return f(e.timeMonday.count(e.timeYear(t)-1,t),r,2)}function J(t,e){return f(t.getFullYear()%100,e,2)}function K(t,e){return f((t=Y(t)).getFullYear()%100,e,2)}function Q(t,e){return f(t.getFullYear()%1e4,e,4)}function $(t,r){var n=t.getDay();return f((t=n>=4||0===n?e.timeThursday(t):e.timeThursday.ceil(t)).getFullYear()%1e4,r,4)}function tt(t){var e=t.getTimezoneOffset();return(e>0?"-":(e*=-1,"+"))+f(e/60|0,"0",2)+f(e%60,"0",2)}function et(t,e){return f(t.getUTCDate(),e,2)}function rt(t,e){return f(t.getUTCHours(),e,2)}function nt(t,e){return f(t.getUTCHours()%12||12,e,2)}function it(t,r){return f(1+e.utcDay.count(e.utcYear(t),t),r,3)}function at(t,e){return f(t.getUTCMilliseconds(),e,3)}function ot(t,e){return at(t,e)+"000"}function st(t,e){return f(t.getUTCMonth()+1,e,2)}function lt(t,e){return f(t.getUTCMinutes(),e,2)}function ct(t,e){return f(t.getUTCSeconds(),e,2)}function ut(t){var e=t.getUTCDay();return 0===e?7:e}function ft(t,r){return f(e.utcSunday.count(e.utcYear(t)-1,t),r,2)}function ht(t){var r=t.getUTCDay();return r>=4||0===r?e.utcThursday(t):e.utcThursday.ceil(t)}function pt(t,r){return t=ht(t),f(e.utcThursday.count(e.utcYear(t),t)+(4===e.utcYear(t).getUTCDay()),r,2)}function dt(t){return t.getUTCDay()}function mt(t,r){return f(e.utcMonday.count(e.utcYear(t)-1,t),r,2)}function gt(t,e){return f(t.getUTCFullYear()%100,e,2)}function vt(t,e){return f((t=ht(t)).getUTCFullYear()%100,e,2)}function yt(t,e){return f(t.getUTCFullYear()%1e4,e,4)}function xt(t,r){var n=t.getUTCDay();return f((t=n>=4||0===n?e.utcThursday(t):e.utcThursday.ceil(t)).getUTCFullYear()%1e4,r,4)}function bt(){return"+0000"}function _t(){return"%"}function wt(t){return+t}function Tt(t){return Math.floor(+t/1e3)}function kt(e){return o=a(e),t.timeFormat=o.format,t.timeParse=o.parse,t.utcFormat=o.utcFormat,t.utcParse=o.utcParse,o}kt({dateTime:"%x, %X",date:"%-m/%-d/%Y",time:"%-I:%M:%S %p",periods:["AM","PM"],days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]});var At=Date.prototype.toISOString?function(t){return t.toISOString()}:t.utcFormat("%Y-%m-%dT%H:%M:%S.%LZ");var Mt=+new Date("2000-01-01T00:00:00.000Z")?function(t){var e=new Date(t);return isNaN(e)?null:e}:t.utcParse("%Y-%m-%dT%H:%M:%S.%LZ");t.isoFormat=At,t.isoParse=Mt,t.timeFormatDefaultLocale=kt,t.timeFormatLocale=a,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-time":116}],116:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e=new Date,r=new Date;function n(t,i,a,o){function s(e){return t(e=0===arguments.length?new Date:new Date(+e)),e}return s.floor=function(e){return t(e=new Date(+e)),e},s.ceil=function(e){return t(e=new Date(e-1)),i(e,1),t(e),e},s.round=function(t){var e=s(t),r=s.ceil(t);return t-e<r-t?e:r},s.offset=function(t,e){return i(t=new Date(+t),null==e?1:Math.floor(e)),t},s.range=function(e,r,n){var a,o=[];if(e=s.ceil(e),n=null==n?1:Math.floor(n),!(e<r&&n>0))return o;do{o.push(a=new Date(+e)),i(e,n),t(e)}while(a<e&&e<r);return o},s.filter=function(e){return n((function(r){if(r>=r)for(;t(r),!e(r);)r.setTime(r-1)}),(function(t,r){if(t>=t)if(r<0)for(;++r<=0;)for(;i(t,-1),!e(t););else for(;--r>=0;)for(;i(t,1),!e(t););}))},a&&(s.count=function(n,i){return e.setTime(+n),r.setTime(+i),t(e),t(r),Math.floor(a(e,r))},s.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?s.filter(o?function(e){return o(e)%t==0}:function(e){return s.count(0,e)%t==0}):s:null}),s}var i=n((function(){}),(function(t,e){t.setTime(+t+e)}),(function(t,e){return e-t}));i.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?n((function(e){e.setTime(Math.floor(e/t)*t)}),(function(e,r){e.setTime(+e+r*t)}),(function(e,r){return(r-e)/t})):i:null};var a=i.range,o=n((function(t){t.setTime(t-t.getMilliseconds())}),(function(t,e){t.setTime(+t+1e3*e)}),(function(t,e){return(e-t)/1e3}),(function(t){return t.getUTCSeconds()})),s=o.range,l=n((function(t){t.setTime(t-t.getMilliseconds()-1e3*t.getSeconds())}),(function(t,e){t.setTime(+t+6e4*e)}),(function(t,e){return(e-t)/6e4}),(function(t){return t.getMinutes()})),c=l.range,u=n((function(t){t.setTime(t-t.getMilliseconds()-1e3*t.getSeconds()-6e4*t.getMinutes())}),(function(t,e){t.setTime(+t+36e5*e)}),(function(t,e){return(e-t)/36e5}),(function(t){return t.getHours()})),f=u.range,h=n((function(t){t.setHours(0,0,0,0)}),(function(t,e){t.setDate(t.getDate()+e)}),(function(t,e){return(e-t-6e4*(e.getTimezoneOffset()-t.getTimezoneOffset()))/864e5}),(function(t){return t.getDate()-1})),p=h.range;function d(t){return n((function(e){e.setDate(e.getDate()-(e.getDay()+7-t)%7),e.setHours(0,0,0,0)}),(function(t,e){t.setDate(t.getDate()+7*e)}),(function(t,e){return(e-t-6e4*(e.getTimezoneOffset()-t.getTimezoneOffset()))/6048e5}))}var m=d(0),g=d(1),v=d(2),y=d(3),x=d(4),b=d(5),_=d(6),w=m.range,T=g.range,k=v.range,A=y.range,M=x.range,S=b.range,E=_.range,L=n((function(t){t.setDate(1),t.setHours(0,0,0,0)}),(function(t,e){t.setMonth(t.getMonth()+e)}),(function(t,e){return e.getMonth()-t.getMonth()+12*(e.getFullYear()-t.getFullYear())}),(function(t){return t.getMonth()})),C=L.range,P=n((function(t){t.setMonth(0,1),t.setHours(0,0,0,0)}),(function(t,e){t.setFullYear(t.getFullYear()+e)}),(function(t,e){return e.getFullYear()-t.getFullYear()}),(function(t){return t.getFullYear()}));P.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n((function(e){e.setFullYear(Math.floor(e.getFullYear()/t)*t),e.setMonth(0,1),e.setHours(0,0,0,0)}),(function(e,r){e.setFullYear(e.getFullYear()+r*t)})):null};var I=P.range,O=n((function(t){t.setUTCSeconds(0,0)}),(function(t,e){t.setTime(+t+6e4*e)}),(function(t,e){return(e-t)/6e4}),(function(t){return t.getUTCMinutes()})),z=O.range,D=n((function(t){t.setUTCMinutes(0,0,0)}),(function(t,e){t.setTime(+t+36e5*e)}),(function(t,e){return(e-t)/36e5}),(function(t){return t.getUTCHours()})),R=D.range,F=n((function(t){t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCDate(t.getUTCDate()+e)}),(function(t,e){return(e-t)/864e5}),(function(t){return t.getUTCDate()-1})),B=F.range;function N(t){return n((function(e){e.setUTCDate(e.getUTCDate()-(e.getUTCDay()+7-t)%7),e.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCDate(t.getUTCDate()+7*e)}),(function(t,e){return(e-t)/6048e5}))}var j=N(0),U=N(1),V=N(2),H=N(3),q=N(4),G=N(5),Y=N(6),W=j.range,X=U.range,Z=V.range,J=H.range,K=q.range,Q=G.range,$=Y.range,tt=n((function(t){t.setUTCDate(1),t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCMonth(t.getUTCMonth()+e)}),(function(t,e){return e.getUTCMonth()-t.getUTCMonth()+12*(e.getUTCFullYear()-t.getUTCFullYear())}),(function(t){return t.getUTCMonth()})),et=tt.range,rt=n((function(t){t.setUTCMonth(0,1),t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCFullYear(t.getUTCFullYear()+e)}),(function(t,e){return e.getUTCFullYear()-t.getUTCFullYear()}),(function(t){return t.getUTCFullYear()}));rt.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n((function(e){e.setUTCFullYear(Math.floor(e.getUTCFullYear()/t)*t),e.setUTCMonth(0,1),e.setUTCHours(0,0,0,0)}),(function(e,r){e.setUTCFullYear(e.getUTCFullYear()+r*t)})):null};var nt=rt.range;t.timeDay=h,t.timeDays=p,t.timeFriday=b,t.timeFridays=S,t.timeHour=u,t.timeHours=f,t.timeInterval=n,t.timeMillisecond=i,t.timeMilliseconds=a,t.timeMinute=l,t.timeMinutes=c,t.timeMonday=g,t.timeMondays=T,t.timeMonth=L,t.timeMonths=C,t.timeSaturday=_,t.timeSaturdays=E,t.timeSecond=o,t.timeSeconds=s,t.timeSunday=m,t.timeSundays=w,t.timeThursday=x,t.timeThursdays=M,t.timeTuesday=v,t.timeTuesdays=k,t.timeWednesday=y,t.timeWednesdays=A,t.timeWeek=m,t.timeWeeks=w,t.timeYear=P,t.timeYears=I,t.utcDay=F,t.utcDays=B,t.utcFriday=G,t.utcFridays=Q,t.utcHour=D,t.utcHours=R,t.utcMillisecond=i,t.utcMilliseconds=a,t.utcMinute=O,t.utcMinutes=z,t.utcMonday=U,t.utcMondays=X,t.utcMonth=tt,t.utcMonths=et,t.utcSaturday=Y,t.utcSaturdays=$,t.utcSecond=o,t.utcSeconds=s,t.utcSunday=j,t.utcSundays=W,t.utcThursday=q,t.utcThursdays=K,t.utcTuesday=V,t.utcTuesdays=Z,t.utcWednesday=H,t.utcWednesdays=J,t.utcWeek=j,t.utcWeeks=W,t.utcYear=rt,t.utcYears=nt,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],117:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e,r,n=0,i=0,a=0,o=0,s=0,l=0,c="object"==typeof performance&&performance.now?performance:Date,u="object"==typeof window&&window.requestAnimationFrame?window.requestAnimationFrame.bind(window):function(t){setTimeout(t,17)};function f(){return s||(u(h),s=c.now()+l)}function h(){s=0}function p(){this._call=this._time=this._next=null}function d(t,e,r){var n=new p;return n.restart(t,e,r),n}function m(){f(),++n;for(var t,r=e;r;)(t=s-r._time)>=0&&r._call.call(null,t),r=r._next;--n}function g(){s=(o=c.now())+l,n=i=0;try{m()}finally{n=0,function(){var t,n,i=e,a=1/0;for(;i;)i._call?(a>i._time&&(a=i._time),t=i,i=i._next):(n=i._next,i._next=null,i=t?t._next=n:e=n);r=t,y(a)}(),s=0}}function v(){var t=c.now(),e=t-o;e>1e3&&(l-=e,o=t)}function y(t){n||(i&&(i=clearTimeout(i)),t-s>24?(t<1/0&&(i=setTimeout(g,t-c.now()-l)),a&&(a=clearInterval(a))):(a||(o=c.now(),a=setInterval(v,1e3)),n=1,u(g)))}p.prototype=d.prototype={constructor:p,restart:function(t,n,i){if("function"!=typeof t)throw new TypeError("callback is not a function");i=(null==i?f():+i)+(null==n?0:+n),this._next||r===this||(r?r._next=this:e=this,r=this),this._call=t,this._time=i,y()},stop:function(){this._call&&(this._call=null,this._time=1/0,y())}},t.interval=function(t,e,r){var n=new p,i=e;return null==e?(n.restart(t,e,r),n):(e=+e,r=null==r?f():+r,n.restart((function a(o){o+=i,n.restart(a,i+=e,r),t(o)}),e,r),n)},t.now=f,t.timeout=function(t,e,r){var n=new p;return e=null==e?0:+e,n.restart((function(r){n.stop(),t(r+e)}),e,r),n},t.timer=d,t.timerFlush=m,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],118:[function(t,e,r){e.exports=function(){for(var t=0;t<arguments.length;t++)if(void 0!==arguments[t])return arguments[t]}},{}],119:[function(t,e,r){"use strict";e.exports=a;var n=(a.canvas=document.createElement("canvas")).getContext("2d"),i=o([32,126]);function a(t,e){Array.isArray(t)&&(t=t.join(", "));var r,a={},s=16,l=.05;e&&(2===e.length&&"number"==typeof e[0]?r=o(e):Array.isArray(e)?r=e:(e.o?r=o(e.o):e.pairs&&(r=e.pairs),e.fontSize&&(s=e.fontSize),null!=e.threshold&&(l=e.threshold))),r||(r=i),n.font=s+"px "+t;for(var c=0;c<r.length;c++){var u=r[c],f=n.measureText(u[0]).width+n.measureText(u[1]).width,h=n.measureText(u).width;if(Math.abs(f-h)>s*l){var p=(h-f)/s;a[u]=1e3*p}}return a}function o(t){for(var e=[],r=t[0];r<=t[1];r++)for(var n=String.fromCharCode(r),i=t[0];i<t[1];i++){var a=n+String.fromCharCode(i);e.push(a)}return e}a.createPairs=o,a.ascii=i},{}],120:[function(t,e,r){var n=t("abs-svg-path"),i=t("normalize-svg-path"),a={M:"moveTo",C:"bezierCurveTo"};e.exports=function(t,e){t.beginPath(),i(n(e)).forEach((function(e){var r=e[0],n=e.slice(1);t[a[r]].apply(t,n)})),t.closePath()}},{"abs-svg-path":66,"normalize-svg-path":241}],121:[function(t,e,r){e.exports=function(t){switch(t){case"int8":return Int8Array;case"int16":return Int16Array;case"int32":return Int32Array;case"uint8":return Uint8Array;case"uint16":return Uint16Array;case"uint32":return Uint32Array;case"float32":return Float32Array;case"float64":return Float64Array;case"array":return Array;case"uint8_clamped":return Uint8ClampedArray}}},{}],122:[function(t,e,r){"use strict";e.exports=function(t,e){switch(void 0===e&&(e=0),typeof t){case"number":if(t>0)return function(t,e){var r,n;for(r=new Array(t),n=0;n<t;++n)r[n]=e;return r}(0|t,e);break;case"object":if("number"==typeof t.length)return function t(e,r,n){var i=0|e[n];if(i<=0)return[];var a,o=new Array(i);if(n===e.length-1)for(a=0;a<i;++a)o[a]=r;else for(a=0;a<i;++a)o[a]=t(e,r,n+1);return o}(t,e,0)}return[]}},{}],123:[function(t,e,r){"use strict";function n(t,e,r){r=r||2;var n,s,l,c,u,p,d,g=e&&e.length,v=g?e[0]*r:t.length,y=i(t,0,v,r,!0),x=[];if(!y||y.next===y.prev)return x;if(g&&(y=function(t,e,r,n){var o,s,l,c,u,p=[];for(o=0,s=e.length;o<s;o++)l=e[o]*n,c=o<s-1?e[o+1]*n:t.length,(u=i(t,l,c,n,!1))===u.next&&(u.steiner=!0),p.push(m(u));for(p.sort(f),o=0;o<p.length;o++)r=a(r=h(p[o],r),r.next);return r}(t,e,y,r)),t.length>80*r){n=l=t[0],s=c=t[1];for(var b=r;b<v;b+=r)(u=t[b])<n&&(n=u),(p=t[b+1])<s&&(s=p),u>l&&(l=u),p>c&&(c=p);d=0!==(d=Math.max(l-n,c-s))?1/d:0}return o(y,x,r,n,s,d),x}function i(t,e,r,n,i){var a,o;if(i===E(t,e,r,n)>0)for(a=e;a<r;a+=n)o=A(a,t[a],t[a+1],o);else for(a=r-n;a>=e;a-=n)o=A(a,t[a],t[a+1],o);return o&&x(o,o.next)&&(M(o),o=o.next),o}function a(t,e){if(!t)return t;e||(e=t);var r,n=t;do{if(r=!1,n.steiner||!x(n,n.next)&&0!==y(n.prev,n,n.next))n=n.next;else{if(M(n),(n=e=n.prev)===n.next)break;r=!0}}while(r||n!==e);return e}function o(t,e,r,n,i,f,h){if(t){!h&&f&&function(t,e,r,n){var i=t;do{null===i.z&&(i.z=d(i.x,i.y,e,r,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next}while(i!==t);i.prevZ.nextZ=null,i.prevZ=null,function(t){var e,r,n,i,a,o,s,l,c=1;do{for(r=t,t=null,a=null,o=0;r;){for(o++,n=r,s=0,e=0;e<c&&(s++,n=n.nextZ);e++);for(l=c;s>0||l>0&&n;)0!==s&&(0===l||!n||r.z<=n.z)?(i=r,r=r.nextZ,s--):(i=n,n=n.nextZ,l--),a?a.nextZ=i:t=i,i.prevZ=a,a=i;r=n}a.nextZ=null,c*=2}while(o>1)}(i)}(t,n,i,f);for(var p,m,g=t;t.prev!==t.next;)if(p=t.prev,m=t.next,f?l(t,n,i,f):s(t))e.push(p.i/r),e.push(t.i/r),e.push(m.i/r),M(t),t=m.next,g=m.next;else if((t=m)===g){h?1===h?o(t=c(a(t),e,r),e,r,n,i,f,2):2===h&&u(t,e,r,n,i,f):o(a(t),e,r,n,i,f,1);break}}}function s(t){var e=t.prev,r=t,n=t.next;if(y(e,r,n)>=0)return!1;for(var i=t.next.next;i!==t.prev;){if(g(e.x,e.y,r.x,r.y,n.x,n.y,i.x,i.y)&&y(i.prev,i,i.next)>=0)return!1;i=i.next}return!0}function l(t,e,r,n){var i=t.prev,a=t,o=t.next;if(y(i,a,o)>=0)return!1;for(var s=i.x<a.x?i.x<o.x?i.x:o.x:a.x<o.x?a.x:o.x,l=i.y<a.y?i.y<o.y?i.y:o.y:a.y<o.y?a.y:o.y,c=i.x>a.x?i.x>o.x?i.x:o.x:a.x>o.x?a.x:o.x,u=i.y>a.y?i.y>o.y?i.y:o.y:a.y>o.y?a.y:o.y,f=d(s,l,e,r,n),h=d(c,u,e,r,n),p=t.prevZ,m=t.nextZ;p&&p.z>=f&&m&&m.z<=h;){if(p!==t.prev&&p!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&y(p.prev,p,p.next)>=0)return!1;if(p=p.prevZ,m!==t.prev&&m!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,m.x,m.y)&&y(m.prev,m,m.next)>=0)return!1;m=m.nextZ}for(;p&&p.z>=f;){if(p!==t.prev&&p!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&y(p.prev,p,p.next)>=0)return!1;p=p.prevZ}for(;m&&m.z<=h;){if(m!==t.prev&&m!==t.next&&g(i.x,i.y,a.x,a.y,o.x,o.y,m.x,m.y)&&y(m.prev,m,m.next)>=0)return!1;m=m.nextZ}return!0}function c(t,e,r){var n=t;do{var i=n.prev,o=n.next.next;!x(i,o)&&b(i,n,n.next,o)&&T(i,o)&&T(o,i)&&(e.push(i.i/r),e.push(n.i/r),e.push(o.i/r),M(n),M(n.next),n=t=o),n=n.next}while(n!==t);return a(n)}function u(t,e,r,n,i,s){var l=t;do{for(var c=l.next.next;c!==l.prev;){if(l.i!==c.i&&v(l,c)){var u=k(l,c);return l=a(l,l.next),u=a(u,u.next),o(l,e,r,n,i,s),void o(u,e,r,n,i,s)}c=c.next}l=l.next}while(l!==t)}function f(t,e){return t.x-e.x}function h(t,e){var r=function(t,e){var r,n=e,i=t.x,a=t.y,o=-1/0;do{if(a<=n.y&&a>=n.next.y&&n.next.y!==n.y){var s=n.x+(a-n.y)*(n.next.x-n.x)/(n.next.y-n.y);if(s<=i&&s>o){if(o=s,s===i){if(a===n.y)return n;if(a===n.next.y)return n.next}r=n.x<n.next.x?n:n.next}}n=n.next}while(n!==e);if(!r)return null;if(i===o)return r;var l,c=r,u=r.x,f=r.y,h=1/0;n=r;do{i>=n.x&&n.x>=u&&i!==n.x&&g(a<f?i:o,a,u,f,a<f?o:i,a,n.x,n.y)&&(l=Math.abs(a-n.y)/(i-n.x),T(n,t)&&(l<h||l===h&&(n.x>r.x||n.x===r.x&&p(r,n)))&&(r=n,h=l)),n=n.next}while(n!==c);return r}(t,e);if(!r)return e;var n=k(r,t),i=a(r,r.next);return a(n,n.next),e===r?i:e}function p(t,e){return y(t.prev,t,e.prev)<0&&y(e.next,t,t.next)<0}function d(t,e,r,n,i){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t=32767*(t-r)*i)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e=32767*(e-n)*i)|e<<8))|e<<4))|e<<2))|e<<1))<<1}function m(t){var e=t,r=t;do{(e.x<r.x||e.x===r.x&&e.y<r.y)&&(r=e),e=e.next}while(e!==t);return r}function g(t,e,r,n,i,a,o,s){return(i-o)*(e-s)-(t-o)*(a-s)>=0&&(t-o)*(n-s)-(r-o)*(e-s)>=0&&(r-o)*(a-s)-(i-o)*(n-s)>=0}function v(t,e){return t.next.i!==e.i&&t.prev.i!==e.i&&!function(t,e){var r=t;do{if(r.i!==t.i&&r.next.i!==t.i&&r.i!==e.i&&r.next.i!==e.i&&b(r,r.next,t,e))return!0;r=r.next}while(r!==t);return!1}(t,e)&&(T(t,e)&&T(e,t)&&function(t,e){var r=t,n=!1,i=(t.x+e.x)/2,a=(t.y+e.y)/2;do{r.y>a!=r.next.y>a&&r.next.y!==r.y&&i<(r.next.x-r.x)*(a-r.y)/(r.next.y-r.y)+r.x&&(n=!n),r=r.next}while(r!==t);return n}(t,e)&&(y(t.prev,t,e.prev)||y(t,e.prev,e))||x(t,e)&&y(t.prev,t,t.next)>0&&y(e.prev,e,e.next)>0)}function y(t,e,r){return(e.y-t.y)*(r.x-e.x)-(e.x-t.x)*(r.y-e.y)}function x(t,e){return t.x===e.x&&t.y===e.y}function b(t,e,r,n){var i=w(y(t,e,r)),a=w(y(t,e,n)),o=w(y(r,n,t)),s=w(y(r,n,e));return i!==a&&o!==s||(!(0!==i||!_(t,r,e))||(!(0!==a||!_(t,n,e))||(!(0!==o||!_(r,t,n))||!(0!==s||!_(r,e,n)))))}function _(t,e,r){return e.x<=Math.max(t.x,r.x)&&e.x>=Math.min(t.x,r.x)&&e.y<=Math.max(t.y,r.y)&&e.y>=Math.min(t.y,r.y)}function w(t){return t>0?1:t<0?-1:0}function T(t,e){return y(t.prev,t,t.next)<0?y(t,e,t.next)>=0&&y(t,t.prev,e)>=0:y(t,e,t.prev)<0||y(t,t.next,e)<0}function k(t,e){var r=new S(t.i,t.x,t.y),n=new S(e.i,e.x,e.y),i=t.next,a=e.prev;return t.next=e,e.prev=t,r.next=i,i.prev=r,n.next=r,r.prev=n,a.next=n,n.prev=a,n}function A(t,e,r,n){var i=new S(t,e,r);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function M(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function S(t,e,r){this.i=t,this.x=e,this.y=r,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}function E(t,e,r,n){for(var i=0,a=e,o=r-n;a<r;a+=n)i+=(t[o]-t[a])*(t[a+1]+t[o+1]),o=a;return i}e.exports=n,e.exports.default=n,n.deviation=function(t,e,r,n){var i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(E(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(E(t,c,u,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},n.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r}},{}],124:[function(t,e,r){var n=t("strongly-connected-components");e.exports=function(t,e){var r,i=[],a=[],o=[],s={},l=[];function c(t){var e,n,i=!1;for(a.push(t),o[t]=!0,e=0;e<l[t].length;e++)(n=l[t][e])===r?(u(r,a),i=!0):o[n]||(i=c(n));if(i)!function t(e){o[e]=!1,s.hasOwnProperty(e)&&Object.keys(s[e]).forEach((function(r){delete s[e][r],o[r]&&t(r)}))}(t);else for(e=0;e<l[t].length;e++){n=l[t][e];var f=s[n];f||(f={},s[n]=f),f[n]=!0}return a.pop(),i}function u(t,r){var n=[].concat(r).concat(t);e?e(n):i.push(n)}function f(e){!function(e){for(var r=0;r<t.length;r++)(r<e||!t[r])&&(t[r]=[]),t[r]=t[r].filter((function(t){return t>=e}))}(e);for(var r,i=n(t).components.filter((function(t){return t.length>1})),a=1/0,o=0;o<i.length;o++)for(var s=0;s<i[o].length;s++)i[o][s]<a&&(a=i[o][s],r=o);var l=i[r];return!!l&&{leastVertex:a,adjList:t.map((function(t,e){return-1===l.indexOf(e)?[]:t.filter((function(t){return-1!==l.indexOf(t)}))}))}}r=0;for(var h=t.length;r<h;){var p=f(r);if(r=p.leastVertex,l=p.adjList){for(var d=0;d<l.length;d++)for(var m=0;m<l[d].length;m++){var g=l[d][m];o[+g]=!1,s[g]={}}c(r),r+=1}else r=h}return e?void 0:i}},{"strongly-connected-components":301}],125:[function(t,e,r){"use strict";var n=t("../../object/valid-value");e.exports=function(){return n(this).length=0,this}},{"../../object/valid-value":156}],126:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Array.from:t("./shim")},{"./is-implemented":127,"./shim":128}],127:[function(t,e,r){"use strict";e.exports=function(){var t,e,r=Array.from;return"function"==typeof r&&(e=r(t=["raz","dwa"]),Boolean(e&&e!==t&&"dwa"===e[1]))}},{}],128:[function(t,e,r){"use strict";var n=t("es6-symbol").iterator,i=t("../../function/is-arguments"),a=t("../../function/is-function"),o=t("../../number/to-pos-integer"),s=t("../../object/valid-callable"),l=t("../../object/valid-value"),c=t("../../object/is-value"),u=t("../../string/is-string"),f=Array.isArray,h=Function.prototype.call,p={configurable:!0,enumerable:!0,writable:!0,value:null},d=Object.defineProperty;e.exports=function(t){var e,r,m,g,v,y,x,b,_,w,T=arguments[1],k=arguments[2];if(t=Object(l(t)),c(T)&&s(T),this&&this!==Array&&a(this))e=this;else{if(!T){if(i(t))return 1!==(v=t.length)?Array.apply(null,t):((g=new Array(1))[0]=t[0],g);if(f(t)){for(g=new Array(v=t.length),r=0;r<v;++r)g[r]=t[r];return g}}g=[]}if(!f(t))if(void 0!==(_=t[n])){for(x=s(_).call(t),e&&(g=new e),b=x.next(),r=0;!b.done;)w=T?h.call(T,k,b.value,r):b.value,e?(p.value=w,d(g,r,p)):g[r]=w,b=x.next(),++r;v=r}else if(u(t)){for(v=t.length,e&&(g=new e),r=0,m=0;r<v;++r)w=t[r],r+1<v&&(y=w.charCodeAt(0))>=55296&&y<=56319&&(w+=t[++r]),w=T?h.call(T,k,w,m):w,e?(p.value=w,d(g,m,p)):g[m]=w,++m;v=m}if(void 0===v)for(v=o(t.length),e&&(g=new e(v)),r=0;r<v;++r)w=T?h.call(T,k,t[r],r):t[r],e?(p.value=w,d(g,r,p)):g[r]=w;return e&&(p.value=null,g.length=v),g}},{"../../function/is-arguments":129,"../../function/is-function":130,"../../number/to-pos-integer":136,"../../object/is-value":145,"../../object/valid-callable":154,"../../object/valid-value":156,"../../string/is-string":160,"es6-symbol":169}],129:[function(t,e,r){"use strict";var n=Object.prototype.toString,i=n.call(function(){return arguments}());e.exports=function(t){return n.call(t)===i}},{}],130:[function(t,e,r){"use strict";var n=Object.prototype.toString,i=RegExp.prototype.test.bind(/^[object [A-Za-z0-9]*Function]$/);e.exports=function(t){return"function"==typeof t&&i(n.call(t))}},{}],131:[function(t,e,r){"use strict";e.exports=function(){}},{}],132:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Math.sign:t("./shim")},{"./is-implemented":133,"./shim":134}],133:[function(t,e,r){"use strict";e.exports=function(){var t=Math.sign;return"function"==typeof t&&(1===t(10)&&-1===t(-20))}},{}],134:[function(t,e,r){"use strict";e.exports=function(t){return t=Number(t),isNaN(t)||0===t?t:t>0?1:-1}},{}],135:[function(t,e,r){"use strict";var n=t("../math/sign"),i=Math.abs,a=Math.floor;e.exports=function(t){return isNaN(t)?0:0!==(t=Number(t))&&isFinite(t)?n(t)*a(i(t)):t}},{"../math/sign":132}],136:[function(t,e,r){"use strict";var n=t("./to-integer"),i=Math.max;e.exports=function(t){return i(0,n(t))}},{"./to-integer":135}],137:[function(t,e,r){"use strict";var n=t("./valid-callable"),i=t("./valid-value"),a=Function.prototype.bind,o=Function.prototype.call,s=Object.keys,l=Object.prototype.propertyIsEnumerable;e.exports=function(t,e){return function(r,c){var u,f=arguments[2],h=arguments[3];return r=Object(i(r)),n(c),u=s(r),h&&u.sort("function"==typeof h?a.call(h,r):void 0),"function"!=typeof t&&(t=u[t]),o.call(t,u,(function(t,n){return l.call(r,t)?o.call(c,f,r[t],t,r,n):e}))}}},{"./valid-callable":154,"./valid-value":156}],138:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Object.assign:t("./shim")},{"./is-implemented":139,"./shim":140}],139:[function(t,e,r){"use strict";e.exports=function(){var t,e=Object.assign;return"function"==typeof e&&(e(t={foo:"raz"},{bar:"dwa"},{trzy:"trzy"}),t.foo+t.bar+t.trzy==="razdwatrzy")}},{}],140:[function(t,e,r){"use strict";var n=t("../keys"),i=t("../valid-value"),a=Math.max;e.exports=function(t,e){var r,o,s,l=a(arguments.length,2);for(t=Object(i(t)),s=function(n){try{t[n]=e[n]}catch(t){r||(r=t)}},o=1;o<l;++o)n(e=arguments[o]).forEach(s);if(void 0!==r)throw r;return t}},{"../keys":146,"../valid-value":156}],141:[function(t,e,r){"use strict";var n=t("../array/from"),i=t("./assign"),a=t("./valid-value");e.exports=function(t){var e=Object(a(t)),r=arguments[1],o=Object(arguments[2]);if(e!==t&&!r)return e;var s={};return r?n(r,(function(e){(o.ensure||e in t)&&(s[e]=t[e])})):i(s,t),s}},{"../array/from":126,"./assign":138,"./valid-value":156}],142:[function(t,e,r){"use strict";var n,i,a,o,s=Object.create;t("./set-prototype-of/is-implemented")()||(n=t("./set-prototype-of/shim")),e.exports=n?1!==n.level?s:(i={},a={},o={configurable:!1,enumerable:!1,writable:!0,value:void 0},Object.getOwnPropertyNames(Object.prototype).forEach((function(t){a[t]="__proto__"!==t?o:{configurable:!0,enumerable:!1,writable:!0,value:void 0}})),Object.defineProperties(i,a),Object.defineProperty(n,"nullPolyfill",{configurable:!1,enumerable:!1,writable:!1,value:i}),function(t,e){return s(null===t?i:t,e)}):s},{"./set-prototype-of/is-implemented":152,"./set-prototype-of/shim":153}],143:[function(t,e,r){"use strict";e.exports=t("./_iterate")("forEach")},{"./_iterate":137}],144:[function(t,e,r){"use strict";var n=t("./is-value"),i={function:!0,object:!0};e.exports=function(t){return n(t)&&i[typeof t]||!1}},{"./is-value":145}],145:[function(t,e,r){"use strict";var n=t("../function/noop")();e.exports=function(t){return t!==n&&null!==t}},{"../function/noop":131}],146:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Object.keys:t("./shim")},{"./is-implemented":147,"./shim":148}],147:[function(t,e,r){"use strict";e.exports=function(){try{return Object.keys("primitive"),!0}catch(t){return!1}}},{}],148:[function(t,e,r){"use strict";var n=t("../is-value"),i=Object.keys;e.exports=function(t){return i(n(t)?Object(t):t)}},{"../is-value":145}],149:[function(t,e,r){"use strict";var n=t("./valid-callable"),i=t("./for-each"),a=Function.prototype.call;e.exports=function(t,e){var r={},o=arguments[2];return n(e),i(t,(function(t,n,i,s){r[n]=a.call(e,o,t,n,i,s)})),r}},{"./for-each":143,"./valid-callable":154}],150:[function(t,e,r){"use strict";var n=t("./is-value"),i=Array.prototype.forEach,a=Object.create,o=function(t,e){var r;for(r in t)e[r]=t[r]};e.exports=function(t){var e=a(null);return i.call(arguments,(function(t){n(t)&&o(Object(t),e)})),e}},{"./is-value":145}],151:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Object.setPrototypeOf:t("./shim")},{"./is-implemented":152,"./shim":153}],152:[function(t,e,r){"use strict";var n=Object.create,i=Object.getPrototypeOf,a={};e.exports=function(){var t=Object.setPrototypeOf,e=arguments[0]||n;return"function"==typeof t&&i(t(e(null),a))===a}},{}],153:[function(t,e,r){"use strict";var n,i=t("../is-object"),a=t("../valid-value"),o=Object.prototype.isPrototypeOf,s=Object.defineProperty,l={configurable:!0,enumerable:!1,writable:!0,value:void 0};n=function(t,e){if(a(t),null===e||i(e))return t;throw new TypeError("Prototype must be null or an object")},e.exports=function(t){var e,r;return t?(2===t.level?t.set?(r=t.set,e=function(t,e){return r.call(n(t,e),e),t}):e=function(t,e){return n(t,e).__proto__=e,t}:e=function t(e,r){var i;return n(e,r),(i=o.call(t.nullPolyfill,e))&&delete t.nullPolyfill.__proto__,null===r&&(r=t.nullPolyfill),e.__proto__=r,i&&s(t.nullPolyfill,"__proto__",l),e},Object.defineProperty(e,"level",{configurable:!1,enumerable:!1,writable:!1,value:t.level})):null}(function(){var t,e=Object.create(null),r={},n=Object.getOwnPropertyDescriptor(Object.prototype,"__proto__");if(n){try{(t=n.set).call(e,r)}catch(t){}if(Object.getPrototypeOf(e)===r)return{set:t,level:2}}return e.__proto__=r,Object.getPrototypeOf(e)===r?{level:2}:((e={}).__proto__=r,Object.getPrototypeOf(e)===r&&{level:1})}()),t("../create")},{"../create":142,"../is-object":144,"../valid-value":156}],154:[function(t,e,r){"use strict";e.exports=function(t){if("function"!=typeof t)throw new TypeError(t+" is not a function");return t}},{}],155:[function(t,e,r){"use strict";var n=t("./is-object");e.exports=function(t){if(!n(t))throw new TypeError(t+" is not an Object");return t}},{"./is-object":144}],156:[function(t,e,r){"use strict";var n=t("./is-value");e.exports=function(t){if(!n(t))throw new TypeError("Cannot use null or undefined");return t}},{"./is-value":145}],157:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?String.prototype.contains:t("./shim")},{"./is-implemented":158,"./shim":159}],158:[function(t,e,r){"use strict";var n="razdwatrzy";e.exports=function(){return"function"==typeof n.contains&&(!0===n.contains("dwa")&&!1===n.contains("foo"))}},{}],159:[function(t,e,r){"use strict";var n=String.prototype.indexOf;e.exports=function(t){return n.call(this,t,arguments[1])>-1}},{}],160:[function(t,e,r){"use strict";var n=Object.prototype.toString,i=n.call("");e.exports=function(t){return"string"==typeof t||t&&"object"==typeof t&&(t instanceof String||n.call(t)===i)||!1}},{}],161:[function(t,e,r){"use strict";var n=Object.create(null),i=Math.random;e.exports=function(){var t;do{t=i().toString(36).slice(2)}while(n[t]);return t}},{}],162:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/set-prototype-of"),a=t("es5-ext/string/#/contains"),o=t("d"),s=t("es6-symbol"),l=t("./"),c=Object.defineProperty;n=e.exports=function(t,e){if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");l.call(this,t),e=e?a.call(e,"key+value")?"key+value":a.call(e,"key")?"key":"value":"value",c(this,"__kind__",o("",e))},i&&i(n,l),delete n.prototype.constructor,n.prototype=Object.create(l.prototype,{_resolve:o((function(t){return"value"===this.__kind__?this.__list__[t]:"key+value"===this.__kind__?[t,this.__list__[t]]:t}))}),c(n.prototype,s.toStringTag,o("c","Array Iterator"))},{"./":165,d:101,"es5-ext/object/set-prototype-of":151,"es5-ext/string/#/contains":157,"es6-symbol":169}],163:[function(t,e,r){"use strict";var n=t("es5-ext/function/is-arguments"),i=t("es5-ext/object/valid-callable"),a=t("es5-ext/string/is-string"),o=t("./get"),s=Array.isArray,l=Function.prototype.call,c=Array.prototype.some;e.exports=function(t,e){var r,u,f,h,p,d,m,g,v=arguments[2];if(s(t)||n(t)?r="array":a(t)?r="string":t=o(t),i(e),f=function(){h=!0},"array"!==r)if("string"!==r)for(u=t.next();!u.done;){if(l.call(e,v,u.value,f),h)return;u=t.next()}else for(d=t.length,p=0;p<d&&(m=t[p],p+1<d&&(g=m.charCodeAt(0))>=55296&&g<=56319&&(m+=t[++p]),l.call(e,v,m,f),!h);++p);else c.call(t,(function(t){return l.call(e,v,t,f),h}))}},{"./get":164,"es5-ext/function/is-arguments":129,"es5-ext/object/valid-callable":154,"es5-ext/string/is-string":160}],164:[function(t,e,r){"use strict";var n=t("es5-ext/function/is-arguments"),i=t("es5-ext/string/is-string"),a=t("./array"),o=t("./string"),s=t("./valid-iterable"),l=t("es6-symbol").iterator;e.exports=function(t){return"function"==typeof s(t)[l]?t[l]():n(t)?new a(t):i(t)?new o(t):new a(t)}},{"./array":162,"./string":167,"./valid-iterable":168,"es5-ext/function/is-arguments":129,"es5-ext/string/is-string":160,"es6-symbol":169}],165:[function(t,e,r){"use strict";var n,i=t("es5-ext/array/#/clear"),a=t("es5-ext/object/assign"),o=t("es5-ext/object/valid-callable"),s=t("es5-ext/object/valid-value"),l=t("d"),c=t("d/auto-bind"),u=t("es6-symbol"),f=Object.defineProperty,h=Object.defineProperties;e.exports=n=function(t,e){if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");h(this,{__list__:l("w",s(t)),__context__:l("w",e),__nextIndex__:l("w",0)}),e&&(o(e.on),e.on("_add",this._onAdd),e.on("_delete",this._onDelete),e.on("_clear",this._onClear))},delete n.prototype.constructor,h(n.prototype,a({_next:l((function(){var t;if(this.__list__)return this.__redo__&&void 0!==(t=this.__redo__.shift())?t:this.__nextIndex__<this.__list__.length?this.__nextIndex__++:void this._unBind()})),next:l((function(){return this._createResult(this._next())})),_createResult:l((function(t){return void 0===t?{done:!0,value:void 0}:{done:!1,value:this._resolve(t)}})),_resolve:l((function(t){return this.__list__[t]})),_unBind:l((function(){this.__list__=null,delete this.__redo__,this.__context__&&(this.__context__.off("_add",this._onAdd),this.__context__.off("_delete",this._onDelete),this.__context__.off("_clear",this._onClear),this.__context__=null)})),toString:l((function(){return"[object "+(this[u.toStringTag]||"Object")+"]"}))},c({_onAdd:l((function(t){t>=this.__nextIndex__||(++this.__nextIndex__,this.__redo__?(this.__redo__.forEach((function(e,r){e>=t&&(this.__redo__[r]=++e)}),this),this.__redo__.push(t)):f(this,"__redo__",l("c",[t])))})),_onDelete:l((function(t){var e;t>=this.__nextIndex__||(--this.__nextIndex__,this.__redo__&&(-1!==(e=this.__redo__.indexOf(t))&&this.__redo__.splice(e,1),this.__redo__.forEach((function(e,r){e>t&&(this.__redo__[r]=--e)}),this)))})),_onClear:l((function(){this.__redo__&&i.call(this.__redo__),this.__nextIndex__=0}))}))),f(n.prototype,u.iterator,l((function(){return this})))},{d:101,"d/auto-bind":100,"es5-ext/array/#/clear":125,"es5-ext/object/assign":138,"es5-ext/object/valid-callable":154,"es5-ext/object/valid-value":156,"es6-symbol":169}],166:[function(t,e,r){"use strict";var n=t("es5-ext/function/is-arguments"),i=t("es5-ext/object/is-value"),a=t("es5-ext/string/is-string"),o=t("es6-symbol").iterator,s=Array.isArray;e.exports=function(t){return!!i(t)&&(!!s(t)||(!!a(t)||(!!n(t)||"function"==typeof t[o])))}},{"es5-ext/function/is-arguments":129,"es5-ext/object/is-value":145,"es5-ext/string/is-string":160,"es6-symbol":169}],167:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/set-prototype-of"),a=t("d"),o=t("es6-symbol"),s=t("./"),l=Object.defineProperty;n=e.exports=function(t){if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");t=String(t),s.call(this,t),l(this,"__length__",a("",t.length))},i&&i(n,s),delete n.prototype.constructor,n.prototype=Object.create(s.prototype,{_next:a((function(){if(this.__list__)return this.__nextIndex__<this.__length__?this.__nextIndex__++:void this._unBind()})),_resolve:a((function(t){var e,r=this.__list__[t];return this.__nextIndex__===this.__length__?r:(e=r.charCodeAt(0))>=55296&&e<=56319?r+this.__list__[this.__nextIndex__++]:r}))}),l(n.prototype,o.toStringTag,a("c","String Iterator"))},{"./":165,d:101,"es5-ext/object/set-prototype-of":151,"es6-symbol":169}],168:[function(t,e,r){"use strict";var n=t("./is-iterable");e.exports=function(t){if(!n(t))throw new TypeError(t+" is not iterable");return t}},{"./is-iterable":166}],169:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?t("ext/global-this").Symbol:t("./polyfill")},{"./is-implemented":170,"./polyfill":175,"ext/global-this":183}],170:[function(t,e,r){"use strict";var n=t("ext/global-this"),i={object:!0,symbol:!0};e.exports=function(){var t,e=n.Symbol;if("function"!=typeof e)return!1;t=e("test symbol");try{String(t)}catch(t){return!1}return!!i[typeof e.iterator]&&(!!i[typeof e.toPrimitive]&&!!i[typeof e.toStringTag])}},{"ext/global-this":183}],171:[function(t,e,r){"use strict";e.exports=function(t){return!!t&&("symbol"==typeof t||!!t.constructor&&("Symbol"===t.constructor.name&&"Symbol"===t[t.constructor.toStringTag]))}},{}],172:[function(t,e,r){"use strict";var n=t("d"),i=Object.create,a=Object.defineProperty,o=Object.prototype,s=i(null);e.exports=function(t){for(var e,r,i=0;s[t+(i||"")];)++i;return s[t+=i||""]=!0,a(o,e="@@"+t,n.gs(null,(function(t){r||(r=!0,a(this,e,n(t)),r=!1)}))),e}},{d:101}],173:[function(t,e,r){"use strict";var n=t("d"),i=t("ext/global-this").Symbol;e.exports=function(t){return Object.defineProperties(t,{hasInstance:n("",i&&i.hasInstance||t("hasInstance")),isConcatSpreadable:n("",i&&i.isConcatSpreadable||t("isConcatSpreadable")),iterator:n("",i&&i.iterator||t("iterator")),match:n("",i&&i.match||t("match")),replace:n("",i&&i.replace||t("replace")),search:n("",i&&i.search||t("search")),species:n("",i&&i.species||t("species")),split:n("",i&&i.split||t("split")),toPrimitive:n("",i&&i.toPrimitive||t("toPrimitive")),toStringTag:n("",i&&i.toStringTag||t("toStringTag")),unscopables:n("",i&&i.unscopables||t("unscopables"))})}},{d:101,"ext/global-this":183}],174:[function(t,e,r){"use strict";var n=t("d"),i=t("../../../validate-symbol"),a=Object.create(null);e.exports=function(t){return Object.defineProperties(t,{for:n((function(e){return a[e]?a[e]:a[e]=t(String(e))})),keyFor:n((function(t){var e;for(e in i(t),a)if(a[e]===t)return e}))})}},{"../../../validate-symbol":176,d:101}],175:[function(t,e,r){"use strict";var n,i,a,o=t("d"),s=t("./validate-symbol"),l=t("ext/global-this").Symbol,c=t("./lib/private/generate-name"),u=t("./lib/private/setup/standard-symbols"),f=t("./lib/private/setup/symbol-registry"),h=Object.create,p=Object.defineProperties,d=Object.defineProperty;if("function"==typeof l)try{String(l()),a=!0}catch(t){}else l=null;i=function(t){if(this instanceof i)throw new TypeError("Symbol is not a constructor");return n(t)},e.exports=n=function t(e){var r;if(this instanceof t)throw new TypeError("Symbol is not a constructor");return a?l(e):(r=h(i.prototype),e=void 0===e?"":String(e),p(r,{__description__:o("",e),__name__:o("",c(e))}))},u(n),f(n),p(i.prototype,{constructor:o(n),toString:o("",(function(){return this.__name__}))}),p(n.prototype,{toString:o((function(){return"Symbol ("+s(this).__description__+")"})),valueOf:o((function(){return s(this)}))}),d(n.prototype,n.toPrimitive,o("",(function(){var t=s(this);return"symbol"==typeof t?t:t.toString()}))),d(n.prototype,n.toStringTag,o("c","Symbol")),d(i.prototype,n.toStringTag,o("c",n.prototype[n.toStringTag])),d(i.prototype,n.toPrimitive,o("c",n.prototype[n.toPrimitive]))},{"./lib/private/generate-name":172,"./lib/private/setup/standard-symbols":173,"./lib/private/setup/symbol-registry":174,"./validate-symbol":176,d:101,"ext/global-this":183}],176:[function(t,e,r){"use strict";var n=t("./is-symbol");e.exports=function(t){if(!n(t))throw new TypeError(t+" is not a symbol");return t}},{"./is-symbol":171}],177:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?WeakMap:t("./polyfill")},{"./is-implemented":178,"./polyfill":180}],178:[function(t,e,r){"use strict";e.exports=function(){var t,e;if("function"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},"one"],[{},"two"],[{},"three"]])}catch(t){return!1}return"[object WeakMap]"===String(t)&&("function"==typeof t.set&&(t.set({},1)===t&&("function"==typeof t.delete&&("function"==typeof t.has&&"one"===t.get(e)))))}},{}],179:[function(t,e,r){"use strict";e.exports="function"==typeof WeakMap&&"[object WeakMap]"===Object.prototype.toString.call(new WeakMap)},{}],180:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/is-value"),a=t("es5-ext/object/set-prototype-of"),o=t("es5-ext/object/valid-object"),s=t("es5-ext/object/valid-value"),l=t("es5-ext/string/random-uniq"),c=t("d"),u=t("es6-iterator/get"),f=t("es6-iterator/for-of"),h=t("es6-symbol").toStringTag,p=t("./is-native-implemented"),d=Array.isArray,m=Object.defineProperty,g=Object.prototype.hasOwnProperty,v=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");return t=p&&a&&WeakMap!==n?a(new WeakMap,v(this)):this,i(e)&&(d(e)||(e=u(e))),m(t,"__weakMapData__",c("c","$weakMap$"+l())),e?(f(e,(function(e){s(e),t.set(e[0],e[1])})),t):t},p&&(a&&a(n,WeakMap),n.prototype=Object.create(WeakMap.prototype,{constructor:c(n)})),Object.defineProperties(n.prototype,{delete:c((function(t){return!!g.call(o(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)})),get:c((function(t){if(g.call(o(t),this.__weakMapData__))return t[this.__weakMapData__]})),has:c((function(t){return g.call(o(t),this.__weakMapData__)})),set:c((function(t,e){return m(o(t),this.__weakMapData__,c("c",e)),this})),toString:c((function(){return"[object WeakMap]"}))}),m(n.prototype,h,c("c","WeakMap"))},{"./is-native-implemented":179,d:101,"es5-ext/object/is-value":145,"es5-ext/object/set-prototype-of":151,"es5-ext/object/valid-object":155,"es5-ext/object/valid-value":156,"es5-ext/string/random-uniq":161,"es6-iterator/for-of":163,"es6-iterator/get":164,"es6-symbol":169}],181:[function(t,e,r){"use strict";var n,i="object"==typeof Reflect?Reflect:null,a=i&&"function"==typeof i.apply?i.apply:function(t,e,r){return Function.prototype.apply.call(t,e,r)};n=i&&"function"==typeof i.ownKeys?i.ownKeys:Object.getOwnPropertySymbols?function(t){return Object.getOwnPropertyNames(t).concat(Object.getOwnPropertySymbols(t))}:function(t){return Object.getOwnPropertyNames(t)};var o=Number.isNaN||function(t){return t!=t};function s(){s.init.call(this)}e.exports=s,e.exports.once=function(t,e){return new Promise((function(r,n){function i(r){t.removeListener(e,a),n(r)}function a(){"function"==typeof t.removeListener&&t.removeListener("error",i),r([].slice.call(arguments))}v(t,e,a,{once:!0}),"error"!==e&&function(t,e,r){"function"==typeof t.on&&v(t,"error",e,r)}(t,i,{once:!0})}))},s.EventEmitter=s,s.prototype._events=void 0,s.prototype._eventsCount=0,s.prototype._maxListeners=void 0;var l=10;function c(t){if("function"!=typeof t)throw new TypeError('The "listener" argument must be of type Function. Received type '+typeof t)}function u(t){return void 0===t._maxListeners?s.defaultMaxListeners:t._maxListeners}function f(t,e,r,n){var i,a,o,s;if(c(r),void 0===(a=t._events)?(a=t._events=Object.create(null),t._eventsCount=0):(void 0!==a.newListener&&(t.emit("newListener",e,r.listener?r.listener:r),a=t._events),o=a[e]),void 0===o)o=a[e]=r,++t._eventsCount;else if("function"==typeof o?o=a[e]=n?[r,o]:[o,r]:n?o.unshift(r):o.push(r),(i=u(t))>0&&o.length>i&&!o.warned){o.warned=!0;var l=new Error("Possible EventEmitter memory leak detected. "+o.length+" "+String(e)+" listeners added. Use emitter.setMaxListeners() to increase limit");l.name="MaxListenersExceededWarning",l.emitter=t,l.type=e,l.count=o.length,s=l,console&&console.warn&&console.warn(s)}return t}function h(){if(!this.fired)return this.target.removeListener(this.type,this.wrapFn),this.fired=!0,0===arguments.length?this.listener.call(this.target):this.listener.apply(this.target,arguments)}function p(t,e,r){var n={fired:!1,wrapFn:void 0,target:t,type:e,listener:r},i=h.bind(n);return i.listener=r,n.wrapFn=i,i}function d(t,e,r){var n=t._events;if(void 0===n)return[];var i=n[e];return void 0===i?[]:"function"==typeof i?r?[i.listener||i]:[i]:r?function(t){for(var e=new Array(t.length),r=0;r<e.length;++r)e[r]=t[r].listener||t[r];return e}(i):g(i,i.length)}function m(t){var e=this._events;if(void 0!==e){var r=e[t];if("function"==typeof r)return 1;if(void 0!==r)return r.length}return 0}function g(t,e){for(var r=new Array(e),n=0;n<e;++n)r[n]=t[n];return r}function v(t,e,r,n){if("function"==typeof t.on)n.once?t.once(e,r):t.on(e,r);else{if("function"!=typeof t.addEventListener)throw new TypeError('The "emitter" argument must be of type EventEmitter. Received type '+typeof t);t.addEventListener(e,(function i(a){n.once&&t.removeEventListener(e,i),r(a)}))}}Object.defineProperty(s,"defaultMaxListeners",{enumerable:!0,get:function(){return l},set:function(t){if("number"!=typeof t||t<0||o(t))throw new RangeError('The value of "defaultMaxListeners" is out of range. It must be a non-negative number. Received '+t+".");l=t}}),s.init=function(){void 0!==this._events&&this._events!==Object.getPrototypeOf(this)._events||(this._events=Object.create(null),this._eventsCount=0),this._maxListeners=this._maxListeners||void 0},s.prototype.setMaxListeners=function(t){if("number"!=typeof t||t<0||o(t))throw new RangeError('The value of "n" is out of range. It must be a non-negative number. Received '+t+".");return this._maxListeners=t,this},s.prototype.getMaxListeners=function(){return u(this)},s.prototype.emit=function(t){for(var e=[],r=1;r<arguments.length;r++)e.push(arguments[r]);var n="error"===t,i=this._events;if(void 0!==i)n=n&&void 0===i.error;else if(!n)return!1;if(n){var o;if(e.length>0&&(o=e[0]),o instanceof Error)throw o;var s=new Error("Unhandled error."+(o?" ("+o.message+")":""));throw s.context=o,s}var l=i[t];if(void 0===l)return!1;if("function"==typeof l)a(l,this,e);else{var c=l.length,u=g(l,c);for(r=0;r<c;++r)a(u[r],this,e)}return!0},s.prototype.addListener=function(t,e){return f(this,t,e,!1)},s.prototype.on=s.prototype.addListener,s.prototype.prependListener=function(t,e){return f(this,t,e,!0)},s.prototype.once=function(t,e){return c(e),this.on(t,p(this,t,e)),this},s.prototype.prependOnceListener=function(t,e){return c(e),this.prependListener(t,p(this,t,e)),this},s.prototype.removeListener=function(t,e){var r,n,i,a,o;if(c(e),void 0===(n=this._events))return this;if(void 0===(r=n[t]))return this;if(r===e||r.listener===e)0==--this._eventsCount?this._events=Object.create(null):(delete n[t],n.removeListener&&this.emit("removeListener",t,r.listener||e));else if("function"!=typeof r){for(i=-1,a=r.length-1;a>=0;a--)if(r[a]===e||r[a].listener===e){o=r[a].listener,i=a;break}if(i<0)return this;0===i?r.shift():function(t,e){for(;e+1<t.length;e++)t[e]=t[e+1];t.pop()}(r,i),1===r.length&&(n[t]=r[0]),void 0!==n.removeListener&&this.emit("removeListener",t,o||e)}return this},s.prototype.off=s.prototype.removeListener,s.prototype.removeAllListeners=function(t){var e,r,n;if(void 0===(r=this._events))return this;if(void 0===r.removeListener)return 0===arguments.length?(this._events=Object.create(null),this._eventsCount=0):void 0!==r[t]&&(0==--this._eventsCount?this._events=Object.create(null):delete r[t]),this;if(0===arguments.length){var i,a=Object.keys(r);for(n=0;n<a.length;++n)"removeListener"!==(i=a[n])&&this.removeAllListeners(i);return this.removeAllListeners("removeListener"),this._events=Object.create(null),this._eventsCount=0,this}if("function"==typeof(e=r[t]))this.removeListener(t,e);else if(void 0!==e)for(n=e.length-1;n>=0;n--)this.removeListener(t,e[n]);return this},s.prototype.listeners=function(t){return d(this,t,!0)},s.prototype.rawListeners=function(t){return d(this,t,!1)},s.listenerCount=function(t,e){return"function"==typeof t.listenerCount?t.listenerCount(e):m.call(t,e)},s.prototype.listenerCount=m,s.prototype.eventNames=function(){return this._eventsCount>0?n(this._events):[]}},{}],182:[function(t,e,r){var n=function(){if("object"==typeof self&&self)return self;if("object"==typeof window&&window)return window;throw new Error("Unable to resolve global `this`")};e.exports=function(){if(this)return this;try{Object.defineProperty(Object.prototype,"__global__",{get:function(){return this},configurable:!0})}catch(t){return n()}try{return __global__||n()}finally{delete Object.prototype.__global__}}()},{}],183:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?globalThis:t("./implementation")},{"./implementation":182,"./is-implemented":184}],184:[function(t,e,r){"use strict";e.exports=function(){return"object"==typeof globalThis&&(!!globalThis&&globalThis.Array===Array)}},{}],185:[function(t,e,r){"use strict";var n=t("is-string-blank");e.exports=function(t){var e=typeof t;if("string"===e){var r=t;if(0===(t=+t)&&n(r))return!1}else if("number"!==e)return!1;return t-t<1}},{"is-string-blank":232}],186:[function(t,e,r){var n=t("dtype");e.exports=function(t,e,r){if(!t)throw new TypeError("must specify data as first parameter");if(r=0|+(r||0),Array.isArray(t)&&t[0]&&"number"==typeof t[0][0]){var i,a,o,s,l=t[0].length,c=t.length*l;e&&"string"!=typeof e||(e=new(n(e||"float32"))(c+r));var u=e.length-r;if(c!==u)throw new Error("source length "+c+" ("+l+"x"+t.length+") does not match destination length "+u);for(i=0,o=r;i<t.length;i++)for(a=0;a<l;a++)e[o++]=null===t[i][a]?NaN:t[i][a]}else if(e&&"string"!=typeof e)e.set(t,r);else{var f=n(e||"float32");if(Array.isArray(t)||"array"===e)for(e=new f(t.length+r),i=0,o=r,s=e.length;o<s;o++,i++)e[o]=null===t[i]?NaN:t[i];else 0===r?e=new f(t):(e=new f(t.length+r)).set(t,r)}return e}},{dtype:121}],187:[function(t,e,r){"use strict";var n=t("css-font/stringify"),i=[32,126];e.exports=function(t){var e=(t=t||{}).shape?t.shape:t.canvas?[t.canvas.width,t.canvas.height]:[512,512],r=t.canvas||document.createElement("canvas"),a=t.font,o="number"==typeof t.step?[t.step,t.step]:t.step||[32,32],s=t.chars||i;a&&"string"!=typeof a&&(a=n(a));if(Array.isArray(s)){if(2===s.length&&"number"==typeof s[0]&&"number"==typeof s[1]){for(var l=[],c=s[0],u=0;c<=s[1];c++)l[u++]=String.fromCharCode(c);s=l}}else s=String(s).split("");e=e.slice(),r.width=e[0],r.height=e[1];var f=r.getContext("2d");f.fillStyle="#000",f.fillRect(0,0,r.width,r.height),f.font=a,f.textAlign="center",f.textBaseline="middle",f.fillStyle="#fff";var h=o[0]/2,p=o[1]/2;for(c=0;c<s.length;c++)f.fillText(s[c],h,p),(h+=o[0])>e[0]-o[0]/2&&(h=o[0]/2,p+=o[1]);return r}},{"css-font/stringify":97}],188:[function(t,e,r){"use strict";function n(t,e){e||(e={}),("string"==typeof t||Array.isArray(t))&&(e.family=t);var r=Array.isArray(e.family)?e.family.join(", "):e.family;if(!r)throw Error("`family` must be defined");var s=e.size||e.fontSize||e.em||48,l=e.weight||e.fontWeight||"",c=(t=[e.style||e.fontStyle||"",l,s].join(" ")+"px "+r,e.origin||"top");if(n.cache[r]&&s<=n.cache[r].em)return i(n.cache[r],c);var u=e.canvas||n.canvas,f=u.getContext("2d"),h={upper:void 0!==e.upper?e.upper:"H",lower:void 0!==e.lower?e.lower:"x",descent:void 0!==e.descent?e.descent:"p",ascent:void 0!==e.ascent?e.ascent:"h",tittle:void 0!==e.tittle?e.tittle:"i",overshoot:void 0!==e.overshoot?e.overshoot:"O"},p=Math.ceil(1.5*s);u.height=p,u.width=.5*p,f.font=t;var d={top:0};f.clearRect(0,0,p,p),f.textBaseline="top",f.fillStyle="black",f.fillText("H",0,0);var m=a(f.getImageData(0,0,p,p));f.clearRect(0,0,p,p),f.textBaseline="bottom",f.fillText("H",0,p);var g=a(f.getImageData(0,0,p,p));d.lineHeight=d.bottom=p-g+m,f.clearRect(0,0,p,p),f.textBaseline="alphabetic",f.fillText("H",0,p);var v=p-a(f.getImageData(0,0,p,p))-1+m;d.baseline=d.alphabetic=v,f.clearRect(0,0,p,p),f.textBaseline="middle",f.fillText("H",0,.5*p);var y=a(f.getImageData(0,0,p,p));d.median=d.middle=p-y-1+m-.5*p,f.clearRect(0,0,p,p),f.textBaseline="hanging",f.fillText("H",0,.5*p);var x=a(f.getImageData(0,0,p,p));d.hanging=p-x-1+m-.5*p,f.clearRect(0,0,p,p),f.textBaseline="ideographic",f.fillText("H",0,p);var b=a(f.getImageData(0,0,p,p));if(d.ideographic=p-b-1+m,h.upper&&(f.clearRect(0,0,p,p),f.textBaseline="top",f.fillText(h.upper,0,0),d.upper=a(f.getImageData(0,0,p,p)),d.capHeight=d.baseline-d.upper),h.lower&&(f.clearRect(0,0,p,p),f.textBaseline="top",f.fillText(h.lower,0,0),d.lower=a(f.getImageData(0,0,p,p)),d.xHeight=d.baseline-d.lower),h.tittle&&(f.clearRect(0,0,p,p),f.textBaseline="top",f.fillText(h.tittle,0,0),d.tittle=a(f.getImageData(0,0,p,p))),h.ascent&&(f.clearRect(0,0,p,p),f.textBaseline="top",f.fillText(h.ascent,0,0),d.ascent=a(f.getImageData(0,0,p,p))),h.descent&&(f.clearRect(0,0,p,p),f.textBaseline="top",f.fillText(h.descent,0,0),d.descent=o(f.getImageData(0,0,p,p))),h.overshoot){f.clearRect(0,0,p,p),f.textBaseline="top",f.fillText(h.overshoot,0,0);var _=o(f.getImageData(0,0,p,p));d.overshoot=_-v}for(var w in d)d[w]/=s;return d.em=s,n.cache[r]=d,i(d,c)}function i(t,e){var r={};for(var n in"string"==typeof e&&(e=t[e]),t)"em"!==n&&(r[n]=t[n]-e);return r}function a(t){for(var e=t.height,r=t.data,n=3;n<r.length;n+=4)if(0!==r[n])return Math.floor(.25*(n-3)/e)}function o(t){for(var e=t.height,r=t.data,n=r.length-1;n>0;n-=4)if(0!==r[n])return Math.floor(.25*(n-3)/e)}e.exports=n,n.canvas=document.createElement("canvas"),n.cache={}},{}],189:[function(t,e,r){e.exports=function(t,e){if("string"!=typeof t)throw new TypeError("must specify type string");if(e=e||{},"undefined"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement("canvas");"number"==typeof e.width&&(r.width=e.width);"number"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf("webgl")&&a.push("experimental-"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],190:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15];return t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],191:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],192:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],193:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],194:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],195:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],196:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],197:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],198:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],199:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],200:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],201:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],202:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],204:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],205:[function(t,e,r){e.exports={create:t("./create"),clone:t("./clone"),copy:t("./copy"),identity:t("./identity"),transpose:t("./transpose"),invert:t("./invert"),adjoint:t("./adjoint"),determinant:t("./determinant"),multiply:t("./multiply"),translate:t("./translate"),scale:t("./scale"),rotate:t("./rotate"),rotateX:t("./rotateX"),rotateY:t("./rotateY"),rotateZ:t("./rotateZ"),fromRotation:t("./fromRotation"),fromRotationTranslation:t("./fromRotationTranslation"),fromScaling:t("./fromScaling"),fromTranslation:t("./fromTranslation"),fromXRotation:t("./fromXRotation"),fromYRotation:t("./fromYRotation"),fromZRotation:t("./fromZRotation"),fromQuat:t("./fromQuat"),frustum:t("./frustum"),perspective:t("./perspective"),perspectiveFromFieldOfView:t("./perspectiveFromFieldOfView"),ortho:t("./ortho"),lookAt:t("./lookAt"),str:t("./str")}},{"./adjoint":190,"./clone":191,"./copy":192,"./create":193,"./determinant":194,"./fromQuat":195,"./fromRotation":196,"./fromRotationTranslation":197,"./fromScaling":198,"./fromTranslation":199,"./fromXRotation":200,"./fromYRotation":201,"./fromZRotation":202,"./frustum":203,"./identity":204,"./invert":206,"./lookAt":207,"./multiply":208,"./ortho":209,"./perspective":210,"./perspectiveFromFieldOfView":211,"./rotate":212,"./rotateX":213,"./rotateY":214,"./rotateZ":215,"./scale":216,"./str":217,"./translate":218,"./transpose":219}],206:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],207:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":204}],208:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],209:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],210:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],211:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],212:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],213:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],217:[function(t,e,r){e.exports=function(t){return"mat4("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+", "+t[9]+", "+t[10]+", "+t[11]+", "+t[12]+", "+t[13]+", "+t[14]+", "+t[15]+")"}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],219:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],220:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),f=t("parse-rect"),h=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),m=t("detect-kerning"),g=t("object-assign"),v=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ vec2(positionOffset.x, -positionOffset.y)))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform sampler2D atlas;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+"px sans-serif");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:"top",fontSize:T.baseFontSize,fontStyle:u.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var q;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=q}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{"bit-twiddle":77,"color-normalize":84,"css-font":94,"detect-kerning":119,"es6-weak-map":177,"flatten-vertex-data":186,"font-atlas":187,"font-measure":188,"gl-util/context":221,"is-plain-obj":231,"object-assign":242,"parse-rect":244,"parse-unit":246,"pick-by-alias":248,regl:278,"to-px":309,"typedarray-pool":322}],221:[function(t,e,r){(function(r){(function(){"use strict";var n=t("pick-by-alias");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return"function"==typeof t.getContext&&"width"in t&&"height"in t}function o(){var t=document.createElement("canvas");return t.style.position="absolute",t.style.top=0,t.style.left=0,t}e.exports=function(t){var e;if(t?"string"==typeof t&&(t={container:t}):t={},a(t)?t={container:t}:t="string"==typeof(e=t).nodeName&&"function"==typeof e.appendChild&&"function"==typeof e.getBoundingClientRect?{container:t}:function(t){return"function"==typeof t.drawArrays||"function"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:"container target element el canvas holder parent parentNode wrapper use ref root node",gl:"gl context webgl glContext",attrs:"attributes attrs contextAttributes",pixelRatio:"pixelRatio pxRatio px ratio pxratio pixelratio",width:"w width",height:"h height"},!0),t.pixelRatio||(t.pixelRatio=r.pixelRatio||1),t.gl)return t.gl;if(t.canvas&&(t.container=t.canvas.parentNode),t.container){if("string"==typeof t.container){var s=document.querySelector(t.container);if(!s)throw Error("Element "+t.container+" is not found");t.container=s}a(t.container)?(t.canvas=t.container,t.container=t.canvas.parentNode):t.canvas||(t.canvas=o(),t.container.appendChild(t.canvas),i(t))}else if(!t.canvas){if("undefined"==typeof document)throw Error("Not DOM environment. Use headless-gl.");t.container=document.body||document.documentElement,t.canvas=o(),t.container.appendChild(t.canvas),i(t)}return t.gl||["webgl","experimental-webgl","webgl-experimental"].some((function(e){try{t.gl=t.canvas.getContext(e,t.attrs)}catch(t){}return t.gl})),t.gl}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"pick-by-alias":248}],222:[function(t,e,r){e.exports=function(t){"string"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||"");return r.push(t[n]),r.join("")}},{}],223:[function(t,e,r){(function(r){(function(){"use strict";var n,i=t("is-browser");n="function"==typeof r.matchMedia?!r.matchMedia("(hover: none)").matches:i,e.exports=n}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"is-browser":227}],224:[function(t,e,r){"use strict";var n=t("is-browser");e.exports=n&&function(){var t=!1;try{var e=Object.defineProperty({},"passive",{get:function(){t=!0}});window.addEventListener("test",null,e),window.removeEventListener("test",null,e)}catch(e){t=!1}return t}()},{"is-browser":227}],225:[function(t,e,r){
-/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */
-r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}},{}],226:[function(t,e,r){"function"==typeof Object.create?e.exports=function(t,e){e&&(t.super_=e,t.prototype=Object.create(e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}))}:e.exports=function(t,e){if(e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}}},{}],227:[function(t,e,r){e.exports=!0},{}],228:[function(t,e,r){"use strict";e.exports="undefined"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\//.test(navigator.appVersion))},{}],229:[function(t,e,r){"use strict";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||"undefined"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&"string"==typeof e.headers["user-agent"]&&(e=e.headers["user-agent"]),"string"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf("Macintosh")&&-1!==e.indexOf("Safari")&&(r=!0),r}},{}],230:[function(t,e,r){"use strict";e.exports=function(t){var e=typeof t;return null!==t&&("object"===e||"function"===e)}},{}],231:[function(t,e,r){"use strict";var n=Object.prototype.toString;e.exports=function(t){var e;return"[object Object]"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],232:[function(t,e,r){"use strict";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],233:[function(t,e,r){"use strict";e.exports=function(t){return"string"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\dz]$/i.test(t)&&t.length>4))}},{}],234:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){"use strict";var t,e,r;function n(n,i){if(t)if(e){var a="var sharedChunk = {}; ("+t+")(sharedChunk); ("+e+")(sharedChunk);",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:"text/javascript"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return a.solve(t)}}a.prototype={clone:function(){return new a(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=i,this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},a.convert=function(t){return t instanceof a?t:Array.isArray(t)?new a(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,i=((t-e)%n+n)%n+e;return i===e?r:i}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}var f=1;function h(){return f++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function m(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function g(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var i in t)n[i]=e.call(r||this,t[i],i,t);return n}function y(t,e,r){var n={};for(var i in t)e.call(r||this,t[i],i,t)&&(n[i]=t[i]);return n}function x(t){return Array.isArray(t)?t.map(x):"object"==typeof t&&t?v(t,x):t}var b={};function _(t){b[t]||("undefined"!=typeof console&&console.warn(t),b[t]=!0)}function w(t,e,r){return(r.y-t.y)*(e.x-t.x)>(e.y-t.y)*(r.x-t.x)}function T(t){for(var e=0,r=0,n=t.length,i=n-1,a=void 0,o=void 0;r<n;i=r++)a=t[r],e+=((o=t[i]).x-a.x)*(a.y+o.y);return e}function k(){return"undefined"!=typeof WorkerGlobalScope&&"undefined"!=typeof self&&self instanceof WorkerGlobalScope}function A(t){var e={};if(t.replace(/(?:^|(?:\s*\,\s*))([^\x00-\x20\(\)<>@\,;\:\\"\/\[\]\?\=\{\}\x7F]+)(?:\=(?:([^\x00-\x20\(\)<>@\,;\:\\"\/\[\]\?\=\{\}\x7F]+)|(?:\"((?:[^"\\]|\\.)*)\")))?/g,(function(t,r,n,i){var a=n||i;return e[r]=!a||a.toLowerCase(),""})),e["max-age"]){var r=parseInt(e["max-age"],10);isNaN(r)?delete e["max-age"]:e["max-age"]=r}return e}var M=null;function S(t){if(null==M){var e=t.navigator?t.navigator.userAgent:null;M=!!t.safari||!(!e||!(/\b(iPad|iPhone|iPod)\b/.test(e)||e.match("Safari")&&!e.match("Chrome")))}return M}function E(t){try{var e=self[t];return e.setItem("_mapbox_test_",1),e.removeItem("_mapbox_test_"),!0}catch(t){return!1}}var L,C,P,I,O=self.performance&&self.performance.now?self.performance.now.bind(self.performance):Date.now.bind(Date),z=self.requestAnimationFrame||self.mozRequestAnimationFrame||self.webkitRequestAnimationFrame||self.msRequestAnimationFrame,D=self.cancelAnimationFrame||self.mozCancelAnimationFrame||self.webkitCancelAnimationFrame||self.msCancelAnimationFrame,R={now:O,frame:function(t){var e=z(t);return{cancel:function(){return D(e)}}},getImageData:function(t,e){void 0===e&&(e=0);var r=self.document.createElement("canvas"),n=r.getContext("2d");if(!n)throw new Error("failed to create canvas 2d context");return r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return L||(L=self.document.createElement("a")),L.href=t,L.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==C&&(C=self.matchMedia("(prefers-reduced-motion: reduce)")),C.matches)}},F={API_URL:"https://api.mapbox.com",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf("https://api.mapbox.cn")?"https://events.mapbox.cn/events/v2":0===this.API_URL.indexOf("https://api.mapbox.com")?"https://events.mapbox.com/events/v2":null:null},FEEDBACK_URL:"https://apps.mapbox.com/feedback",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},B={supported:!1,testSupport:function(t){if(N||!I)return;j?U(t):P=t}},N=!1,j=!1;function U(t){var e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,I),t.isContextLost())return;B.supported=!0}catch(t){}t.deleteTexture(e),N=!0}self.document&&((I=self.document.createElement("img")).onload=function(){P&&U(P),P=null,j=!0},I.onerror=function(){N=!0,P=null},I.src="data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=");var V="01";var H=function(t,e){this._transformRequestFn=t,this._customAccessToken=e,this._createSkuToken()};function q(t){return 0===t.indexOf("mapbox:")}H.prototype._createSkuToken=function(){var t=function(){for(var t="",e=0;e<10;e++)t+="0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"[Math.floor(62*Math.random())];return{token:["1",V,t].join(""),tokenExpiresAt:Date.now()+432e5}}();this._skuToken=t.token,this._skuTokenExpiresAt=t.tokenExpiresAt},H.prototype._isSkuTokenExpired=function(){return Date.now()>this._skuTokenExpiresAt},H.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},H.prototype.normalizeStyleURL=function(t,e){if(!q(t))return t;var r=X(t);return r.path="/styles/v1"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},H.prototype.normalizeGlyphsURL=function(t,e){if(!q(t))return t;var r=X(t);return r.path="/fonts/v1"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},H.prototype.normalizeSourceURL=function(t,e){if(!q(t))return t;var r=X(t);return r.path="/v4/"+r.authority+".json",r.params.push("secure"),this._makeAPIURL(r,this._customAccessToken||e)},H.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return q(t)?(i.path="/styles/v1"+i.path+"/sprite"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=""+e+r,Z(i))},H.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!q(t))return t;var r=X(t),n=R.devicePixelRatio>=2||512===e?"@2x":"",i=B.supported?".webp":"$1";r.path=r.path.replace(/(\.(png|jpg)\d*)(?=$)/,""+n+i),r.path=r.path.replace(/^.+\/v4\//,"/"),r.path="/v4"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||F.ACCESS_TOKEN;return F.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push("sku="+this._skuToken),this._makeAPIURL(r,a)},H.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\/v4\/)/)||!r.path.match(/\.[\w]+$/))return t;var n="mapbox://tiles/";n+=r.path.replace("/v4/","");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+="?"+i.join("&")),n},H.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&q(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},H.prototype._makeAPIURL=function(t,e){var r="See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes",n=X(F.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,"/"!==n.path&&(t.path=""+n.path+t.path),!F.REQUIRE_ACCESS_TOKEN)return Z(t);if(!(e=e||F.ACCESS_TOKEN))throw new Error("An API access token is required to use Mapbox GL. "+r);if("s"===e[0])throw new Error("Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). "+r);return t.params=t.params.filter((function(t){return-1===t.indexOf("access_token")})),t.params.push("access_token="+e),Z(t)};var G=/^((https?:)?\/\/)?([^\/]+\.)?mapbox\.c(n|om)(\/|\?|$)/i;function Y(t){return G.test(t)}var W=/^(\w+):\/\/([^/?]*)(\/[^?]+)?\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error("Unable to parse URL object");return{protocol:e[1],authority:e[2],path:e[3]||"/",params:e[4]?e[4].split("&"):[]}}function Z(t){var e=t.params.length?"?"+t.params.join("&"):"";return t.protocol+"://"+t.authority+t.path+e}function J(t){if(!t)return null;var e,r=t.split(".");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split("").map((function(t){return"%"+("00"+t.charCodeAt(0).toString(16)).slice(-2)})).join(""))))}catch(t){return null}}var K=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};K.prototype.getStorageKey=function(t){var e,r=J(F.ACCESS_TOKEN),n="";return r&&r.u?(e=r.u,n=self.btoa(encodeURIComponent(e).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number("0x"+e))})))):n=F.ACCESS_TOKEN||"",t?"mapbox.eventData."+t+":"+n:"mapbox.eventData:"+n},K.prototype.fetchEventData=function(){var t=E("localStorage"),e=this.getStorageKey(),r=this.getStorageKey("uuid");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var i=self.localStorage.getItem(r);i&&(this.anonId=i)}catch(t){_("Unable to read from LocalStorage")}},K.prototype.saveEventData=function(){var t=E("localStorage"),e=this.getStorageKey(),r=this.getStorageKey("uuid");if(t)try{self.localStorage.setItem(r,this.anonId),Object.keys(this.eventData).length>=1&&self.localStorage.setItem(e,JSON.stringify(this.eventData))}catch(t){_("Unable to write to LocalStorage")}},K.prototype.processRequests=function(t){},K.prototype.postEvent=function(t,e,r,n){var i=this;if(F.EVENTS_URL){var a=X(F.EVENTS_URL);a.params.push("access_token="+(n||F.ACCESS_TOKEN||""));var o={event:this.type,created:new Date(t).toISOString(),sdkIdentifier:"mapbox-gl-js",sdkVersion:"1.10.1",skuId:V,userId:this.anonId},s=e?u(o,e):o,l={url:Z(a),headers:{"Content-Type":"text/plain"},body:JSON.stringify([s])};this.pendingRequest=bt(l,(function(t){i.pendingRequest=null,r(t),i.saveEventData(),i.processRequests(n)}))}},K.prototype.queueRequest=function(t,e){this.queue.push(t),this.processRequests(e)};var Q,$,tt=function(t){function e(){t.call(this,"map.load"),this.success={},this.skuToken=""}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postMapLoadEvent=function(t,e,r,n){this.skuToken=r,(F.EVENTS_URL&&n||F.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return q(t)||Y(t)})))&&this.queueRequest({id:e,timestamp:Date.now()},n)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){var r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),d(this.anonId)||(this.anonId=p()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(K),et=new(function(t){function e(e){t.call(this,"appUserTurnstile"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){F.EVENTS_URL&&F.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return q(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=J(F.ACCESS_TOKEN),n=r?r.u:F.ACCESS_TOKEN,i=n!==this.eventData.tokenU;d(this.anonId)||(this.anonId=p(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new Date(a),l=(a-this.eventData.lastSuccess)/864e5;i=i||l>=1||l<-1||o.getDate()!==s.getDate()}else i=!0;if(!i)return this.processRequests();this.postEvent(a,{"enabled.telemetry":!1},(function(t){t||(e.eventData.lastSuccess=a,e.eventData.tokenU=n)}),t)}},e}(K)),rt=et.postTurnstileEvent.bind(et),nt=new tt,it=nt.postMapLoadEvent.bind(nt),at=500,ot=50;function st(){self.caches&&!Q&&(Q=self.caches.open("mapbox-tiles"))}function lt(t,e,r){if(st(),Q){var n={status:e.status,statusText:e.statusText,headers:new self.Headers};e.headers.forEach((function(t,e){return n.headers.set(e,t)}));var i=A(e.headers.get("Cache-Control")||"");if(!i["no-store"])i["max-age"]&&n.headers.set("Expires",new Date(r+1e3*i["max-age"]).toUTCString()),new Date(n.headers.get("Expires")).getTime()-r<42e4||function(t,e){if(void 0===$)try{new Response(new ReadableStream),$=!0}catch(t){$=!1}$?e(t.body):t.blob().then(e)}(e,(function(e){var r=new self.Response(e,n);st(),Q&&Q.then((function(e){return e.put(ct(t.url),r)})).catch((function(t){return _(t.message)}))}))}}function ct(t){var e=t.indexOf("?");return e<0?t:t.slice(0,e)}function ut(t,e){if(st(),!Q)return e(null);var r=ct(t.url);Q.then((function(t){t.match(r).then((function(n){var i=function(t){if(!t)return!1;var e=new Date(t.headers.get("Expires")||0),r=A(t.headers.get("Cache-Control")||"");return e>Date.now()&&!r["no-cache"]}(n);t.delete(r),i&&t.put(r,n.clone()),e(null,n,i)})).catch(e)})).catch(e)}var ft,ht=1/0;function pt(){return null==ft&&(ft=self.OffscreenCanvas&&new self.OffscreenCanvas(1,1).getContext("2d")&&"function"==typeof self.createImageBitmap),ft}var dt={Unknown:"Unknown",Style:"Style",Source:"Source",Tile:"Tile",Glyphs:"Glyphs",SpriteImage:"SpriteImage",SpriteJSON:"SpriteJSON",Image:"Image"};"function"==typeof Object.freeze&&Object.freeze(dt);var mt=function(t){function e(e,r,n){401===r&&Y(n)&&(e+=": you may have provided an invalid Mapbox access token. See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes"),t.call(this,e),this.status=r,this.url=n,this.name=this.constructor.name,this.message=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.toString=function(){return this.name+": "+this.message+" ("+this.status+"): "+this.url},e}(Error),gt=k()?function(){return self.worker&&self.worker.referrer}:function(){return("blob:"===self.location.protocol?self.parent:self).location.href};function vt(t,e){var r,n=new self.AbortController,i=new self.Request(t.url,{method:t.method||"GET",body:t.body,credentials:t.credentials,headers:t.headers,referrer:gt(),signal:n.signal}),a=!1,o=!1,s=(r=i.url).indexOf("sku=")>0&&Y(r);"json"===t.type&&i.headers.set("Accept","application/json");var l=function(r,n,a){if(!o){if(r&&"SecurityError"!==r.message&&_(r),n&&a)return c(n);var l=Date.now();self.fetch(i).then((function(r){if(r.ok){var n=s?r.clone():null;return c(r,n,l)}return e(new mt(r.statusText,r.status,t.url))})).catch((function(t){20!==t.code&&e(new Error(t.message))}))}},c=function(r,n,s){("arrayBuffer"===t.type?r.arrayBuffer():"json"===t.type?r.json():r.text()).then((function(t){o||(n&&s&&lt(i,n,s),a=!0,e(null,t,r.headers.get("Cache-Control"),r.headers.get("Expires")))})).catch((function(t){o||e(new Error(t.message))}))};return s?ut(i,l):l(null,null),{cancel:function(){o=!0,a||n.abort()}}}var yt=function(t,e){if(r=t.url,!(/^file:/.test(r)||/^file:/.test(gt())&&!/^\w+:/.test(r))){if(self.fetch&&self.Request&&self.AbortController&&self.Request.prototype.hasOwnProperty("signal"))return vt(t,e);if(k()&&self.worker&&self.worker.actor){return self.worker.actor.send("getResource",t,e,void 0,!0)}}var r;return function(t,e){var r=new self.XMLHttpRequest;for(var n in r.open(t.method||"GET",t.url,!0),"arrayBuffer"===t.type&&(r.responseType="arraybuffer"),t.headers)r.setRequestHeader(n,t.headers[n]);return"json"===t.type&&(r.responseType="text",r.setRequestHeader("Accept","application/json")),r.withCredentials="include"===t.credentials,r.onerror=function(){e(new Error(r.statusText))},r.onload=function(){if((r.status>=200&&r.status<300||0===r.status)&&null!==r.response){var n=r.response;if("json"===t.type)try{n=JSON.parse(r.response)}catch(t){return e(t)}e(null,n,r.getResponseHeader("Cache-Control"),r.getResponseHeader("Expires"))}else e(new mt(r.statusText,r.status,t.url))},r.send(t.body),{cancel:function(){return r.abort()}}}(t,e)},xt=function(t,e){return yt(u(t,{type:"arrayBuffer"}),e)},bt=function(t,e){return yt(u(t,{method:"POST"}),e)};var _t,wt;_t=[],wt=0;var Tt=function(t,e){if(B.supported&&(t.headers||(t.headers={}),t.headers.accept="image/webp,*/*"),wt>=F.MAX_PARALLEL_IMAGE_REQUESTS){var r={requestParameters:t,callback:e,cancelled:!1,cancel:function(){this.cancelled=!0}};return _t.push(r),r}wt++;var n=!1,i=function(){if(!n)for(n=!0,wt--;_t.length&&wt<F.MAX_PARALLEL_IMAGE_REQUESTS;){var t=_t.shift(),e=t.requestParameters,r=t.callback;t.cancelled||(t.cancel=Tt(e,r).cancel)}},a=xt(t,(function(t,r,n,a){i(),t?e(t):r&&(pt()?function(t,e){var r=new self.Blob([new Uint8Array(t)],{type:"image/png"});self.createImageBitmap(r).then((function(t){e(null,t)})).catch((function(t){e(new Error("Could not load image because of "+t.message+". Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported."))}))}(r,e):function(t,e,r,n){var i=new self.Image,a=self.URL;i.onload=function(){e(null,i),a.revokeObjectURL(i.src)},i.onerror=function(){return e(new Error("Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported."))};var o=new self.Blob([new Uint8Array(t)],{type:"image/png"});i.cacheControl=r,i.expires=n,i.src=t.byteLength?a.createObjectURL(o):"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAC0lEQVQYV2NgAAIAAAUAAarVyFEAAAAASUVORK5CYII="}(r,e,n,a))}));return{cancel:function(){a.cancel(),i()}}};function kt(t,e,r){r[t]&&-1!==r[t].indexOf(e)||(r[t]=r[t]||[],r[t].push(e))}function At(t,e,r){if(r&&r[t]){var n=r[t].indexOf(e);-1!==n&&r[t].splice(n,1)}}var Mt=function(t,e){void 0===e&&(e={}),u(this,e),this.type=t},St=function(t){function e(e,r){void 0===r&&(r={}),t.call(this,"error",u({error:e},r))}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Mt),Et=function(){};Et.prototype.on=function(t,e){return this._listeners=this._listeners||{},kt(t,e,this._listeners),this},Et.prototype.off=function(t,e){return At(t,e,this._listeners),At(t,e,this._oneTimeListeners),this},Et.prototype.once=function(t,e){return this._oneTimeListeners=this._oneTimeListeners||{},kt(t,e,this._oneTimeListeners),this},Et.prototype.fire=function(t,e){"string"==typeof t&&(t=new Mt(t,e||{}));var r=t.type;if(this.listens(r)){t.target=this;for(var n=0,i=this._listeners&&this._listeners[r]?this._listeners[r].slice():[];n<i.length;n+=1){i[n].call(this,t)}for(var a=0,o=this._oneTimeListeners&&this._oneTimeListeners[r]?this._oneTimeListeners[r].slice():[];a<o.length;a+=1){var s=o[a];At(r,s,this._oneTimeListeners),s.call(this,t)}var l=this._eventedParent;l&&(u(t,"function"==typeof this._eventedParentData?this._eventedParentData():this._eventedParentData),l.fire(t))}else t instanceof St&&console.error(t.error);return this},Et.prototype.listens=function(t){return this._listeners&&this._listeners[t]&&this._listeners[t].length>0||this._oneTimeListeners&&this._oneTimeListeners[t]&&this._oneTimeListeners[t].length>0||this._eventedParent&&this._eventedParent.listens(t)},Et.prototype.setEventedParent=function(t,e){return this._eventedParent=t,this._eventedParentData=e,this};var Lt={$version:8,$root:{version:{required:!0,type:"enum",values:[8]},name:{type:"string"},metadata:{type:"*"},center:{type:"array",value:"number"},zoom:{type:"number"},bearing:{type:"number",default:0,period:360,units:"degrees"},pitch:{type:"number",default:0,units:"degrees"},light:{type:"light"},sources:{required:!0,type:"sources"},sprite:{type:"string"},glyphs:{type:"string"},transition:{type:"transition"},layers:{required:!0,type:"array",value:"layer"}},sources:{"*":{type:"source"}},source:["source_vector","source_raster","source_raster_dem","source_geojson","source_video","source_image"],source_vector:{type:{required:!0,type:"enum",values:{vector:{}}},url:{type:"string"},tiles:{type:"array",value:"string"},bounds:{type:"array",value:"number",length:4,default:[-180,-85.051129,180,85.051129]},scheme:{type:"enum",values:{xyz:{},tms:{}},default:"xyz"},minzoom:{type:"number",default:0},maxzoom:{type:"number",default:22},attribution:{type:"string"},promoteId:{type:"promoteId"},"*":{type:"*"}},source_raster:{type:{required:!0,type:"enum",values:{raster:{}}},url:{type:"string"},tiles:{type:"array",value:"string"},bounds:{type:"array",value:"number",length:4,default:[-180,-85.051129,180,85.051129]},minzoom:{type:"number",default:0},maxzoom:{type:"number",default:22},tileSize:{type:"number",default:512,units:"pixels"},scheme:{type:"enum",values:{xyz:{},tms:{}},default:"xyz"},attribution:{type:"string"},"*":{type:"*"}},source_raster_dem:{type:{required:!0,type:"enum",values:{"raster-dem":{}}},url:{type:"string"},tiles:{type:"array",value:"string"},bounds:{type:"array",value:"number",length:4,default:[-180,-85.051129,180,85.051129]},minzoom:{type:"number",default:0},maxzoom:{type:"number",default:22},tileSize:{type:"number",default:512,units:"pixels"},attribution:{type:"string"},encoding:{type:"enum",values:{terrarium:{},mapbox:{}},default:"mapbox"},"*":{type:"*"}},source_geojson:{type:{required:!0,type:"enum",values:{geojson:{}}},data:{type:"*"},maxzoom:{type:"number",default:18},attribution:{type:"string"},buffer:{type:"number",default:128,maximum:512,minimum:0},tolerance:{type:"number",default:.375},cluster:{type:"boolean",default:!1},clusterRadius:{type:"number",default:50,minimum:0},clusterMaxZoom:{type:"number"},clusterProperties:{type:"*"},lineMetrics:{type:"boolean",default:!1},generateId:{type:"boolean",default:!1},promoteId:{type:"promoteId"}},source_video:{type:{required:!0,type:"enum",values:{video:{}}},urls:{required:!0,type:"array",value:"string"},coordinates:{required:!0,type:"array",length:4,value:{type:"array",length:2,value:"number"}}},source_image:{type:{required:!0,type:"enum",values:{image:{}}},url:{required:!0,type:"string"},coordinates:{required:!0,type:"array",length:4,value:{type:"array",length:2,value:"number"}}},layer:{id:{type:"string",required:!0},type:{type:"enum",values:{fill:{},line:{},symbol:{},circle:{},heatmap:{},"fill-extrusion":{},raster:{},hillshade:{},background:{}},required:!0},metadata:{type:"*"},source:{type:"string"},"source-layer":{type:"string"},minzoom:{type:"number",minimum:0,maximum:24},maxzoom:{type:"number",minimum:0,maximum:24},filter:{type:"filter"},layout:{type:"layout"},paint:{type:"paint"}},layout:["layout_fill","layout_line","layout_circle","layout_heatmap","layout_fill-extrusion","layout_symbol","layout_raster","layout_hillshade","layout_background"],layout_background:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_fill:{"fill-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_circle:{"circle-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_heatmap:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},"layout_fill-extrusion":{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_line:{"line-cap":{type:"enum",values:{butt:{},round:{},square:{}},default:"butt",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"line-join":{type:"enum",values:{bevel:{},round:{},miter:{}},default:"miter",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"line-miter-limit":{type:"number",default:2,requires:[{"line-join":"miter"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"line-round-limit":{type:"number",default:1.05,requires:[{"line-join":"round"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"line-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_symbol:{"symbol-placement":{type:"enum",values:{point:{},line:{},"line-center":{}},default:"point",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"symbol-spacing":{type:"number",default:250,minimum:1,units:"pixels",requires:[{"symbol-placement":"line"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"symbol-avoid-edges":{type:"boolean",default:!1,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"symbol-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"symbol-z-order":{type:"enum",values:{auto:{},"viewport-y":{},source:{}},default:"auto",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-allow-overlap":{type:"boolean",default:!1,requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-ignore-placement":{type:"boolean",default:!1,requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-optional":{type:"boolean",default:!1,requires:["icon-image","text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-rotation-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-size":{type:"number",default:1,minimum:0,units:"factor of the original icon size",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-text-fit":{type:"enum",values:{none:{},width:{},height:{},both:{}},default:"none",requires:["icon-image","text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-text-fit-padding":{type:"array",value:"number",length:4,default:[0,0,0,0],units:"pixels",requires:["icon-image","text-field",{"icon-text-fit":["both","width","height"]}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"icon-image":{type:"resolvedImage",tokens:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-rotate":{type:"number",default:0,period:360,units:"degrees",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-padding":{type:"number",default:2,minimum:0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"icon-keep-upright":{type:"boolean",default:!1,requires:["icon-image",{"icon-rotation-alignment":"map"},{"symbol-placement":["line","line-center"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-offset":{type:"array",value:"number",length:2,default:[0,0],requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-anchor":{type:"enum",values:{center:{},left:{},right:{},top:{},bottom:{},"top-left":{},"top-right":{},"bottom-left":{},"bottom-right":{}},default:"center",requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-pitch-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-pitch-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-rotation-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-field":{type:"formatted",default:"",tokens:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-font":{type:"array",value:"string",default:["Open Sans Regular","Arial Unicode MS Regular"],requires:["text-field"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-size":{type:"number",default:16,minimum:0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-max-width":{type:"number",default:10,minimum:0,units:"ems",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-line-height":{type:"number",default:1.2,units:"ems",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-letter-spacing":{type:"number",default:0,units:"ems",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-justify":{type:"enum",values:{auto:{},left:{},center:{},right:{}},default:"center",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-radial-offset":{type:"number",units:"ems",default:0,requires:["text-field"],"property-type":"data-driven",expression:{interpolated:!0,parameters:["zoom","feature"]}},"text-variable-anchor":{type:"array",value:"enum",values:{center:{},left:{},right:{},top:{},bottom:{},"top-left":{},"top-right":{},"bottom-left":{},"bottom-right":{}},requires:["text-field",{"symbol-placement":["point"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-anchor":{type:"enum",values:{center:{},left:{},right:{},top:{},bottom:{},"top-left":{},"top-right":{},"bottom-left":{},"bottom-right":{}},default:"center",requires:["text-field",{"!":"text-variable-anchor"}],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-max-angle":{type:"number",default:45,units:"degrees",requires:["text-field",{"symbol-placement":["line","line-center"]}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-writing-mode":{type:"array",value:"enum",values:{horizontal:{},vertical:{}},requires:["text-field",{"symbol-placement":["point"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-rotate":{type:"number",default:0,period:360,units:"degrees",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-padding":{type:"number",default:2,minimum:0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-keep-upright":{type:"boolean",default:!0,requires:["text-field",{"text-rotation-alignment":"map"},{"symbol-placement":["line","line-center"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-transform":{type:"enum",values:{none:{},uppercase:{},lowercase:{}},default:"none",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-offset":{type:"array",value:"number",units:"ems",length:2,default:[0,0],requires:["text-field",{"!":"text-radial-offset"}],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-allow-overlap":{type:"boolean",default:!1,requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-ignore-placement":{type:"boolean",default:!1,requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-optional":{type:"boolean",default:!1,requires:["text-field","icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_raster:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_hillshade:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},filter:{type:"array",value:"*"},filter_operator:{type:"enum",values:{"==":{},"!=":{},">":{},">=":{},"<":{},"<=":{},in:{},"!in":{},all:{},any:{},none:{},has:{},"!has":{},within:{}}},geometry_type:{type:"enum",values:{Point:{},LineString:{},Polygon:{}}},function:{expression:{type:"expression"},stops:{type:"array",value:"function_stop"},base:{type:"number",default:1,minimum:0},property:{type:"string",default:"$zoom"},type:{type:"enum",values:{identity:{},exponential:{},interval:{},categorical:{}},default:"exponential"},colorSpace:{type:"enum",values:{rgb:{},lab:{},hcl:{}},default:"rgb"},default:{type:"*",required:!1}},function_stop:{type:"array",minimum:0,maximum:24,value:["number","color"],length:2},expression:{type:"array",value:"*",minimum:1},expression_name:{type:"enum",values:{let:{group:"Variable binding"},var:{group:"Variable binding"},literal:{group:"Types"},array:{group:"Types"},at:{group:"Lookup"},in:{group:"Lookup"},"index-of":{group:"Lookup"},slice:{group:"Lookup"},case:{group:"Decision"},match:{group:"Decision"},coalesce:{group:"Decision"},step:{group:"Ramps, scales, curves"},interpolate:{group:"Ramps, scales, curves"},"interpolate-hcl":{group:"Ramps, scales, curves"},"interpolate-lab":{group:"Ramps, scales, curves"},ln2:{group:"Math"},pi:{group:"Math"},e:{group:"Math"},typeof:{group:"Types"},string:{group:"Types"},number:{group:"Types"},boolean:{group:"Types"},object:{group:"Types"},collator:{group:"Types"},format:{group:"Types"},image:{group:"Types"},"number-format":{group:"Types"},"to-string":{group:"Types"},"to-number":{group:"Types"},"to-boolean":{group:"Types"},"to-rgba":{group:"Color"},"to-color":{group:"Types"},rgb:{group:"Color"},rgba:{group:"Color"},get:{group:"Lookup"},has:{group:"Lookup"},length:{group:"Lookup"},properties:{group:"Feature data"},"feature-state":{group:"Feature data"},"geometry-type":{group:"Feature data"},id:{group:"Feature data"},zoom:{group:"Zoom"},"heatmap-density":{group:"Heatmap"},"line-progress":{group:"Feature data"},accumulated:{group:"Feature data"},"+":{group:"Math"},"*":{group:"Math"},"-":{group:"Math"},"/":{group:"Math"},"%":{group:"Math"},"^":{group:"Math"},sqrt:{group:"Math"},log10:{group:"Math"},ln:{group:"Math"},log2:{group:"Math"},sin:{group:"Math"},cos:{group:"Math"},tan:{group:"Math"},asin:{group:"Math"},acos:{group:"Math"},atan:{group:"Math"},min:{group:"Math"},max:{group:"Math"},round:{group:"Math"},abs:{group:"Math"},ceil:{group:"Math"},floor:{group:"Math"},distance:{group:"Math"},"==":{group:"Decision"},"!=":{group:"Decision"},">":{group:"Decision"},"<":{group:"Decision"},">=":{group:"Decision"},"<=":{group:"Decision"},all:{group:"Decision"},any:{group:"Decision"},"!":{group:"Decision"},within:{group:"Decision"},"is-supported-script":{group:"String"},upcase:{group:"String"},downcase:{group:"String"},concat:{group:"String"},"resolved-locale":{group:"String"}}},light:{anchor:{type:"enum",default:"viewport",values:{map:{},viewport:{}},"property-type":"data-constant",transition:!1,expression:{interpolated:!1,parameters:["zoom"]}},position:{type:"array",default:[1.15,210,30],length:3,value:"number","property-type":"data-constant",transition:!0,expression:{interpolated:!0,parameters:["zoom"]}},color:{type:"color","property-type":"data-constant",default:"#ffffff",expression:{interpolated:!0,parameters:["zoom"]},transition:!0},intensity:{type:"number","property-type":"data-constant",default:.5,minimum:0,maximum:1,expression:{interpolated:!0,parameters:["zoom"]},transition:!0}},paint:["paint_fill","paint_line","paint_circle","paint_heatmap","paint_fill-extrusion","paint_symbol","paint_raster","paint_hillshade","paint_background"],paint_fill:{"fill-antialias":{type:"boolean",default:!0,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"fill-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"fill-pattern"}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-outline-color":{type:"color",transition:!0,requires:[{"!":"fill-pattern"},{"fill-antialias":!0}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"fill-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["fill-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"fill-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"cross-faded-data-driven"}},"paint_fill-extrusion":{"fill-extrusion-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"fill-extrusion-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"fill-extrusion-pattern"}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-extrusion-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"fill-extrusion-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["fill-extrusion-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"fill-extrusion-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"cross-faded-data-driven"},"fill-extrusion-height":{type:"number",default:0,minimum:0,units:"meters",transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-extrusion-base":{type:"number",default:0,minimum:0,units:"meters",transition:!0,requires:["fill-extrusion-height"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-extrusion-vertical-gradient":{type:"boolean",default:!0,transition:!1,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"}},paint_line:{"line-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"line-pattern"}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"line-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["line-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"line-width":{type:"number",default:1,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-gap-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-offset":{type:"number",default:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-blur":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-dasharray":{type:"array",value:"number",minimum:0,transition:!0,units:"line widths",requires:[{"!":"line-pattern"}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"cross-faded"},"line-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"cross-faded-data-driven"},"line-gradient":{type:"color",transition:!1,requires:[{"!":"line-dasharray"},{"!":"line-pattern"},{source:"geojson",has:{lineMetrics:!0}}],expression:{interpolated:!0,parameters:["line-progress"]},"property-type":"color-ramp"}},paint_circle:{"circle-radius":{type:"number",default:5,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-blur":{type:"number",default:0,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"circle-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["circle-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"circle-pitch-scale":{type:"enum",values:{map:{},viewport:{}},default:"map",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"circle-pitch-alignment":{type:"enum",values:{map:{},viewport:{}},default:"viewport",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"circle-stroke-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-stroke-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-stroke-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"}},paint_heatmap:{"heatmap-radius":{type:"number",default:30,minimum:1,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"heatmap-weight":{type:"number",default:1,minimum:0,transition:!1,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"heatmap-intensity":{type:"number",default:1,minimum:0,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"heatmap-color":{type:"color",default:["interpolate",["linear"],["heatmap-density"],0,"rgba(0, 0, 255, 0)",.1,"royalblue",.3,"cyan",.5,"lime",.7,"yellow",1,"red"],transition:!1,expression:{interpolated:!0,parameters:["heatmap-density"]},"property-type":"color-ramp"},"heatmap-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},paint_symbol:{"icon-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-color":{type:"color",default:"#000000",transition:!0,requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-halo-color":{type:"color",default:"rgba(0, 0, 0, 0)",transition:!0,requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-halo-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-halo-blur":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"icon-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["icon-image","icon-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-color":{type:"color",default:"#000000",transition:!0,overridable:!0,requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-halo-color":{type:"color",default:"rgba(0, 0, 0, 0)",transition:!0,requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-halo-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-halo-blur":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["text-field","text-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"}},paint_raster:{"raster-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-hue-rotate":{type:"number",default:0,period:360,transition:!0,units:"degrees",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-brightness-min":{type:"number",default:0,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-brightness-max":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-saturation":{type:"number",default:0,minimum:-1,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-contrast":{type:"number",default:0,minimum:-1,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-resampling":{type:"enum",values:{linear:{},nearest:{}},default:"linear",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"raster-fade-duration":{type:"number",default:300,minimum:0,transition:!1,units:"milliseconds",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},paint_hillshade:{"hillshade-illumination-direction":{type:"number",default:335,minimum:0,maximum:359,transition:!1,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-illumination-anchor":{type:"enum",values:{map:{},viewport:{}},default:"viewport",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-exaggeration":{type:"number",default:.5,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-shadow-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-highlight-color":{type:"color",default:"#FFFFFF",transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-accent-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},paint_background:{"background-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"background-pattern"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"background-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"cross-faded"},"background-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},transition:{duration:{type:"number",default:300,minimum:0,units:"milliseconds"},delay:{type:"number",default:0,minimum:0,units:"milliseconds"}},"property-type":{"data-driven":{type:"property-type"},"cross-faded":{type:"property-type"},"cross-faded-data-driven":{type:"property-type"},"color-ramp":{type:"property-type"},"data-constant":{type:"property-type"},constant:{type:"property-type"}},promoteId:{"*":{type:"string"}}},Ct=function(t,e,r,n){this.message=(t?t+": ":"")+r,n&&(this.identifier=n),null!=e&&e.__line__&&(this.line=e.__line__)};function Pt(t){var e=t.key,r=t.value;return r?[new Ct(e,r,"constants have been deprecated as of v8")]:[]}function It(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}function Ot(t){return t instanceof Number||t instanceof String||t instanceof Boolean?t.valueOf():t}function zt(t){if(Array.isArray(t))return t.map(zt);if(t instanceof Object&&!(t instanceof Number||t instanceof String||t instanceof Boolean)){var e={};for(var r in t)e[r]=zt(t[r]);return e}return Ot(t)}var Dt=function(t){function e(e,r){t.call(this,r),this.message=r,this.key=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Error),Rt=function(t,e){void 0===e&&(e=[]),this.parent=t,this.bindings={};for(var r=0,n=e;r<n.length;r+=1){var i=n[r],a=i[0],o=i[1];this.bindings[a]=o}};Rt.prototype.concat=function(t){return new Rt(this,t)},Rt.prototype.get=function(t){if(this.bindings[t])return this.bindings[t];if(this.parent)return this.parent.get(t);throw new Error(t+" not found in scope.")},Rt.prototype.has=function(t){return!!this.bindings[t]||!!this.parent&&this.parent.has(t)};var Ft={kind:"null"},Bt={kind:"number"},Nt={kind:"string"},jt={kind:"boolean"},Ut={kind:"color"},Vt={kind:"object"},Ht={kind:"value"},qt={kind:"collator"},Gt={kind:"formatted"},Yt={kind:"resolvedImage"};function Wt(t,e){return{kind:"array",itemType:t,N:e}}function Xt(t){if("array"===t.kind){var e=Xt(t.itemType);return"number"==typeof t.N?"array<"+e+", "+t.N+">":"value"===t.itemType.kind?"array":"array<"+e+">"}return t.kind}var Zt=[Ft,Bt,Nt,jt,Ut,Gt,Vt,Wt(Ht),Yt];function Jt(t,e){if("error"===e.kind)return null;if("array"===t.kind){if("array"===e.kind&&(0===e.N&&"value"===e.itemType.kind||!Jt(t.itemType,e.itemType))&&("number"!=typeof t.N||t.N===e.N))return null}else{if(t.kind===e.kind)return null;if("value"===t.kind)for(var r=0,n=Zt;r<n.length;r+=1){if(!Jt(n[r],e))return null}}return"Expected "+Xt(t)+" but found "+Xt(e)+" instead."}function Kt(t,e){return e.some((function(e){return e.kind===t.kind}))}function Qt(t,e){return e.some((function(e){return"null"===e?null===t:"array"===e?Array.isArray(t):"object"===e?t&&!Array.isArray(t)&&"object"==typeof t:e===typeof t}))}var $t=e((function(t,e){var r={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return"%"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return"%"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,"").toLowerCase();if(i in r)return r[i].slice();if("#"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf("("),c=i.indexOf(")");if(-1!==l&&c+1===i.length){var u=i.substr(0,l),f=i.substr(l+1,c-(l+1)).split(","),h=1;switch(u){case"rgba":if(4!==f.length)return null;h=o(f.pop());case"rgb":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case"hsla":if(4!==f.length)return null;h=o(f.pop());case"hsl":if(3!==f.length)return null;var p=(parseFloat(f[0])%360+360)%360/360,d=o(f[1]),m=o(f[2]),g=m<=.5?m*(d+1):m+d-m*d,v=2*m-g;return[n(255*s(v,g,p+1/3)),n(255*s(v,g,p)),n(255*s(v,g,p-1/3)),h];default:return null}}return null}}catch(t){}})).parseCSSColor,te=function(t,e,r,n){void 0===n&&(n=1),this.r=t,this.g=e,this.b=r,this.a=n};te.parse=function(t){if(t){if(t instanceof te)return t;if("string"==typeof t){var e=$t(t);if(e)return new te(e[0]/255*e[3],e[1]/255*e[3],e[2]/255*e[3],e[3])}}},te.prototype.toString=function(){var t=this.toArray(),e=t[0],r=t[1],n=t[2],i=t[3];return"rgba("+Math.round(e)+","+Math.round(r)+","+Math.round(n)+","+i+")"},te.prototype.toArray=function(){var t=this.r,e=this.g,r=this.b,n=this.a;return 0===n?[0,0,0,0]:[255*t/n,255*e/n,255*r/n,n]},te.black=new te(0,0,0,1),te.white=new te(1,1,1,1),te.transparent=new te(0,0,0,0),te.red=new te(1,0,0,1);var ee=function(t,e,r){this.sensitivity=t?e?"variant":"case":e?"accent":"base",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:"search"})};ee.prototype.compare=function(t,e){return this.collator.compare(t,e)},ee.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var re=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ne=function(t){this.sections=t};ne.fromString=function(t){return new ne([new re(t,null,null,null,null)])},ne.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ne.factory=function(t){return t instanceof ne?t:ne.fromString(t)},ne.prototype.toString=function(){return 0===this.sections.length?"":this.sections.map((function(t){return t.text})).join("")},ne.prototype.serialize=function(){for(var t=["format"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push(["image",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i["text-font"]=["literal",n.fontStack.split(",")]),n.scale&&(i["font-scale"]=n.scale),n.textColor&&(i["text-color"]=["rgba"].concat(n.textColor.toArray())),t.push(i)}}return t};var ie=function(t){this.name=t.name,this.available=t.available};function ae(t,e,r,n){return"number"==typeof t&&t>=0&&t<=255&&"number"==typeof e&&e>=0&&e<=255&&"number"==typeof r&&r>=0&&r<=255?void 0===n||"number"==typeof n&&n>=0&&n<=1?null:"Invalid rgba value ["+[t,e,r,n].join(", ")+"]: 'a' must be between 0 and 1.":"Invalid rgba value ["+("number"==typeof n?[t,e,r,n]:[t,e,r]).join(", ")+"]: 'r', 'g', and 'b' must be between 0 and 255."}function oe(t){if(null===t)return!0;if("string"==typeof t)return!0;if("boolean"==typeof t)return!0;if("number"==typeof t)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(t instanceof ne)return!0;if(t instanceof ie)return!0;if(Array.isArray(t)){for(var e=0,r=t;e<r.length;e+=1){if(!oe(r[e]))return!1}return!0}if("object"==typeof t){for(var n in t)if(!oe(t[n]))return!1;return!0}return!1}function se(t){if(null===t)return Ft;if("string"==typeof t)return Nt;if("boolean"==typeof t)return jt;if("number"==typeof t)return Bt;if(t instanceof te)return Ut;if(t instanceof ee)return qt;if(t instanceof ne)return Gt;if(t instanceof ie)return Yt;if(Array.isArray(t)){for(var e,r=t.length,n=0,i=t;n<i.length;n+=1){var a=se(i[n]);if(e){if(e===a)continue;e=Ht;break}e=a}return Wt(e||Ht,r)}return Vt}function le(t){var e=typeof t;return null===t?"":"string"===e||"number"===e||"boolean"===e?String(t):t instanceof te||t instanceof ne||t instanceof ie?t.toString():JSON.stringify(t)}ie.prototype.toString=function(){return this.name},ie.fromString=function(t){return t?new ie({name:t,available:!1}):null},ie.prototype.serialize=function(){return["image",this.name]};var ce=function(t,e){this.type=t,this.value=e};ce.parse=function(t,e){if(2!==t.length)return e.error("'literal' expression requires exactly one argument, but found "+(t.length-1)+" instead.");if(!oe(t[1]))return e.error("invalid value");var r=t[1],n=se(r),i=e.expectedType;return"array"!==n.kind||0!==n.N||!i||"array"!==i.kind||"number"==typeof i.N&&0!==i.N||(n=i),new ce(n,r)},ce.prototype.evaluate=function(){return this.value},ce.prototype.eachChild=function(){},ce.prototype.outputDefined=function(){return!0},ce.prototype.serialize=function(){return"array"===this.type.kind||"object"===this.type.kind?["literal",this.value]:this.value instanceof te?["rgba"].concat(this.value.toArray()):this.value instanceof ne?this.value.serialize():this.value};var ue=function(t){this.name="ExpressionEvaluationError",this.message=t};ue.prototype.toJSON=function(){return this.message};var fe={string:Nt,number:Bt,boolean:jt,object:Vt},he=function(t,e){this.type=t,this.args=e};he.parse=function(t,e){if(t.length<2)return e.error("Expected at least one argument.");var r,n=1,i=t[0];if("array"===i){var a,o;if(t.length>2){var s=t[1];if("string"!=typeof s||!(s in fe)||"object"===s)return e.error('The item type argument of "array" must be one of string, number, boolean',1);a=fe[s],n++}else a=Ht;if(t.length>3){if(null!==t[2]&&("number"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to "array" must be a positive integer literal',2);o=t[2],n++}r=Wt(a,o)}else r=fe[i];for(var l=[];n<t.length;n++){var c=e.parse(t[n],n,Ht);if(!c)return null;l.push(c)}return new he(r,l)},he.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!Jt(this.type,se(r)))return r;if(e===this.args.length-1)throw new ue("Expected value to be of type "+Xt(this.type)+", but found "+Xt(se(r))+" instead.")}return null},he.prototype.eachChild=function(t){this.args.forEach(t)},he.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},he.prototype.serialize=function(){var t=this.type,e=[t.kind];if("array"===t.kind){var r=t.itemType;if("string"===r.kind||"number"===r.kind||"boolean"===r.kind){e.push(r.kind);var n=t.N;("number"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var pe=function(t){this.type=Gt,this.sections=t};pe.parse=function(t,e){if(t.length<2)return e.error("Expected at least one argument.");var r=t[1];if(!Array.isArray(r)&&"object"==typeof r)return e.error("First argument must be an image or text section.");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&"object"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o["font-scale"]&&!(s=e.parse(o["font-scale"],1,Bt)))return null;var l=null;if(o["text-font"]&&!(l=e.parse(o["text-font"],1,Wt(Nt))))return null;var c=null;if(o["text-color"]&&!(c=e.parse(o["text-color"],1,Ut)))return null;var u=n[n.length-1];u.scale=s,u.font=l,u.textColor=c}else{var f=e.parse(t[a],1,Ht);if(!f)return null;var h=f.type.kind;if("string"!==h&&"value"!==h&&"null"!==h&&"resolvedImage"!==h)return e.error("Formatted text type must be 'string', 'value', 'image' or 'null'.");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new pe(n)},pe.prototype.evaluate=function(t){return new ne(this.sections.map((function(e){var r=e.content.evaluate(t);return se(r)===Yt?new re("",r,null,null,null):new re(le(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(","):null,e.textColor?e.textColor.evaluate(t):null)})))},pe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},pe.prototype.outputDefined=function(){return!1},pe.prototype.serialize=function(){for(var t=["format"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i["font-scale"]=n.scale.serialize()),n.font&&(i["text-font"]=n.font.serialize()),n.textColor&&(i["text-color"]=n.textColor.serialize()),t.push(i)}return t};var de=function(t){this.type=Yt,this.input=t};de.parse=function(t,e){if(2!==t.length)return e.error("Expected two arguments.");var r=e.parse(t[1],1,Nt);return r?new de(r):e.error("No image name provided.")},de.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ie.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},de.prototype.eachChild=function(t){t(this.input)},de.prototype.outputDefined=function(){return!1},de.prototype.serialize=function(){return["image",this.input.serialize()]};var me={"to-boolean":jt,"to-color":Ut,"to-number":Bt,"to-string":Nt},ge=function(t,e){this.type=t,this.args=e};ge.parse=function(t,e){if(t.length<2)return e.error("Expected at least one argument.");var r=t[0];if(("to-boolean"===r||"to-string"===r)&&2!==t.length)return e.error("Expected one argument.");for(var n=me[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,Ht);if(!o)return null;i.push(o)}return new ge(n,i)},ge.prototype.evaluate=function(t){if("boolean"===this.type.kind)return Boolean(this.args[0].evaluate(t));if("color"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof te)return e;if("string"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?"Invalid rbga value "+JSON.stringify(e)+": expected an array containing either three or four numeric values.":ae(e[0],e[1],e[2],e[3])))return new te(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new ue(r||"Could not parse color from value '"+("string"==typeof e?e:String(JSON.stringify(e)))+"'")}if("number"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new ue("Could not convert "+JSON.stringify(o)+" to number.")}return"formatted"===this.type.kind?ne.fromString(le(this.args[0].evaluate(t))):"resolvedImage"===this.type.kind?ie.fromString(le(this.args[0].evaluate(t))):le(this.args[0].evaluate(t))},ge.prototype.eachChild=function(t){this.args.forEach(t)},ge.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ge.prototype.serialize=function(){if("formatted"===this.type.kind)return new pe([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if("resolvedImage"===this.type.kind)return new de(this.args[0]).serialize();var t=["to-"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var ve=["Unknown","Point","LineString","Polygon"],ye=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};ye.prototype.id=function(){return this.feature&&"id"in this.feature?this.feature.id:null},ye.prototype.geometryType=function(){return this.feature?"number"==typeof this.feature.type?ve[this.feature.type]:this.feature.type:null},ye.prototype.geometry=function(){return this.feature&&"geometry"in this.feature?this.feature.geometry:null},ye.prototype.canonicalID=function(){return this.canonical},ye.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ye.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=te.parse(t)),e};var xe=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n};xe.prototype.evaluate=function(t){return this._evaluate(t,this.args)},xe.prototype.eachChild=function(t){this.args.forEach(t)},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){return[this.name].concat(this.args.map((function(t){return t.serialize()})))},xe.parse=function(t,e){var r,n=t[0],i=xe.definitions[n];if(!i)return e.error('Unknown expression "'+n+'". If you wanted a literal array, use ["literal", [...]].',0);for(var a=Array.isArray(i)?i[0]:i.type,o=Array.isArray(i)?[[i[1],i[2]]]:i.overloads,s=o.filter((function(e){var r=e[0];return!Array.isArray(r)||r.length===t.length-1})),l=null,c=0,u=s;c<u.length;c+=1){var f=u[c],h=f[0],p=f[1];l=new Ue(e.registry,e.path,null,e.scope);for(var d=[],m=!1,g=1;g<t.length;g++){var v=t[g],y=Array.isArray(h)?h[g-1]:h.type,x=l.parse(v,1+d.length,y);if(!x){m=!0;break}d.push(x)}if(!m)if(Array.isArray(h)&&h.length!==d.length)l.error("Expected "+h.length+" arguments, but found "+d.length+" instead.");else{for(var b=0;b<d.length;b++){var _=Array.isArray(h)?h[b]:h.type,w=d[b];l.concat(b+1).checkSubtype(_,w.type)}if(0===l.errors.length)return new xe(n,a,p,d)}}if(1===s.length)(r=e.errors).push.apply(r,l.errors);else{for(var T=(s.length?s:o).map((function(t){var e,r=t[0];return e=r,Array.isArray(e)?"("+e.map(Xt).join(", ")+")":"("+Xt(e.type)+"...)"})).join(" | "),k=[],A=1;A<t.length;A++){var M=e.parse(t[A],1+k.length);if(!M)return null;k.push(Xt(M.type))}e.error("Expected arguments of type "+T+", but found ("+k.join(", ")+") instead.")}return null},xe.register=function(t,e){for(var r in xe.definitions=e,e)t[r]=xe};var be=function(t,e,r){this.type=qt,this.locale=r,this.caseSensitive=t,this.diacriticSensitive=e};be.parse=function(t,e){if(2!==t.length)return e.error("Expected one argument.");var r=t[1];if("object"!=typeof r||Array.isArray(r))return e.error("Collator options argument must be an object.");var n=e.parse(void 0!==r["case-sensitive"]&&r["case-sensitive"],1,jt);if(!n)return null;var i=e.parse(void 0!==r["diacritic-sensitive"]&&r["diacritic-sensitive"],1,jt);if(!i)return null;var a=null;return r.locale&&!(a=e.parse(r.locale,1,Nt))?null:new be(n,i,a)},be.prototype.evaluate=function(t){return new ee(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)},be.prototype.eachChild=function(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){var t={};return t["case-sensitive"]=this.caseSensitive.serialize(),t["diacritic-sensitive"]=this.diacriticSensitive.serialize(),this.locale&&(t.locale=this.locale.serialize()),["collator",t]};function _e(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function we(t,e){return!(t[0]<=e[0])&&(!(t[2]>=e[2])&&(!(t[1]<=e[1])&&!(t[3]>=e[3])))}function Te(t,e){var r,n=(180+t[0])/360,i=(r=t[1],(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+r*Math.PI/360)))/360),a=Math.pow(2,e.z);return[Math.round(n*a*8192),Math.round(i*a*8192)]}function ke(t,e,r){return e[1]>t[1]!=r[1]>t[1]&&t[0]<(r[0]-e[0])*(t[1]-e[1])/(r[1]-e[1])+e[0]}function Ae(t,e){for(var r,n,i,a,o,s,l,c=!1,u=0,f=e.length;u<f;u++)for(var h=e[u],p=0,d=h.length;p<d-1;p++){if(r=t,n=h[p],i=h[p+1],a=void 0,o=void 0,s=void 0,l=void 0,a=r[0]-n[0],o=r[1]-n[1],s=r[0]-i[0],l=r[1]-i[1],a*l-s*o==0&&a*s<=0&&o*l<=0)return!1;ke(t,h[p],h[p+1])&&(c=!c)}return c}function Me(t,e){for(var r=0;r<e.length;r++)if(Ae(t,e[r]))return!0;return!1}function Se(t,e,r,n){var i=t[0]-r[0],a=t[1]-r[1],o=e[0]-r[0],s=e[1]-r[1],l=n[0]-r[0],c=n[1]-r[1],u=i*c-l*a,f=o*c-l*s;return u>0&&f<0||u<0&&f>0}function Ee(t,e,r){for(var n=0,i=r;n<i.length;n+=1)for(var a=i[n],o=0;o<a.length-1;++o)if(s=t,l=e,c=a[o],u=a[o+1],f=void 0,h=void 0,p=void 0,d=void 0,p=[l[0]-s[0],l[1]-s[1]],d=[u[0]-c[0],u[1]-c[1]],0!=(f=d)[0]*(h=p)[1]-f[1]*h[0]&&Se(s,l,c,u)&&Se(c,u,s,l))return!0;var s,l,c,u,f,h,p,d;return!1}function Le(t,e){for(var r=0;r<t.length;++r)if(!Ae(t[r],e))return!1;for(var n=0;n<t.length-1;++n)if(Ee(t[n],t[n+1],e))return!1;return!0}function Ce(t,e){for(var r=0;r<e.length;r++)if(Le(t,e[r]))return!0;return!1}function Pe(t,e,r){for(var n=[],i=0;i<t.length;i++){for(var a=[],o=0;o<t[i].length;o++){var s=Te(t[i][o],r);_e(e,s),a.push(s)}n.push(a)}return n}function Ie(t,e,r){for(var n=[],i=0;i<t.length;i++){var a=Pe(t[i],e,r);n.push(a)}return n}function Oe(t,e,r,n){if(t[0]<r[0]||t[0]>r[2]){var i=.5*n,a=t[0]-r[0]>i?-n:r[0]-t[0]>i?n:0;0===a&&(a=t[0]-r[2]>i?-n:r[2]-t[0]>i?n:0),t[0]+=a}_e(e,t)}function ze(t,e,r,n){for(var i=8192*Math.pow(2,n.z),a=[8192*n.x,8192*n.y],o=[],s=0,l=t;s<l.length;s+=1)for(var c=0,u=l[s];c<u.length;c+=1){var f=u[c],h=[f.x+a[0],f.y+a[1]];Oe(h,e,r,i),o.push(h)}return o}function De(t,e,r,n){for(var i,a=8192*Math.pow(2,n.z),o=[8192*n.x,8192*n.y],s=[],l=0,c=t;l<c.length;l+=1){for(var u=[],f=0,h=c[l];f<h.length;f+=1){var p=h[f],d=[p.x+o[0],p.y+o[1]];_e(e,d),u.push(d)}s.push(u)}if(e[2]-e[0]<=a/2){(i=e)[0]=i[1]=1/0,i[2]=i[3]=-1/0;for(var m=0,g=s;m<g.length;m+=1)for(var v=0,y=g[m];v<y.length;v+=1){Oe(y[v],e,r,a)}}return s}var Re=function(t,e){this.type=jt,this.geojson=t,this.geometries=e};function Fe(t){if(t instanceof xe){if("get"===t.name&&1===t.args.length)return!1;if("feature-state"===t.name)return!1;if("has"===t.name&&1===t.args.length)return!1;if("properties"===t.name||"geometry-type"===t.name||"id"===t.name)return!1;if(/^filter-/.test(t.name))return!1}if(t instanceof Re)return!1;var e=!0;return t.eachChild((function(t){e&&!Fe(t)&&(e=!1)})),e}function Be(t){if(t instanceof xe&&"feature-state"===t.name)return!1;var e=!0;return t.eachChild((function(t){e&&!Be(t)&&(e=!1)})),e}function Ne(t,e){if(t instanceof xe&&e.indexOf(t.name)>=0)return!1;var r=!0;return t.eachChild((function(t){r&&!Ne(t,e)&&(r=!1)})),r}Re.parse=function(t,e){if(2!==t.length)return e.error("'within' expression requires exactly one argument, but found "+(t.length-1)+" instead.");if(oe(t[1])){var r=t[1];if("FeatureCollection"===r.type)for(var n=0;n<r.features.length;++n){var i=r.features[n].geometry.type;if("Polygon"===i||"MultiPolygon"===i)return new Re(r,r.features[n].geometry)}else if("Feature"===r.type){var a=r.geometry.type;if("Polygon"===a||"MultiPolygon"===a)return new Re(r,r.geometry)}else if("Polygon"===r.type||"MultiPolygon"===r.type)return new Re(r,r)}return e.error("'within' expression requires valid geojson object that contains polygon geometry type.")},Re.prototype.evaluate=function(t){if(null!=t.geometry()&&null!=t.canonicalID()){if("Point"===t.geometryType())return function(t,e){var r=[1/0,1/0,-1/0,-1/0],n=[1/0,1/0,-1/0,-1/0],i=t.canonicalID();if("Polygon"===e.type){var a=Pe(e.coordinates,n,i),o=ze(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var s=0,l=o;s<l.length;s+=1){if(!Ae(l[s],a))return!1}}if("MultiPolygon"===e.type){var c=Ie(e.coordinates,n,i),u=ze(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var f=0,h=u;f<h.length;f+=1){if(!Me(h[f],c))return!1}}return!0}(t,this.geometries);if("LineString"===t.geometryType())return function(t,e){var r=[1/0,1/0,-1/0,-1/0],n=[1/0,1/0,-1/0,-1/0],i=t.canonicalID();if("Polygon"===e.type){var a=Pe(e.coordinates,n,i),o=De(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var s=0,l=o;s<l.length;s+=1){if(!Le(l[s],a))return!1}}if("MultiPolygon"===e.type){var c=Ie(e.coordinates,n,i),u=De(t.geometry(),r,n,i);if(!we(r,n))return!1;for(var f=0,h=u;f<h.length;f+=1){if(!Ce(h[f],c))return!1}}return!0}(t,this.geometries)}return!1},Re.prototype.eachChild=function(){},Re.prototype.outputDefined=function(){return!0},Re.prototype.serialize=function(){return["within",this.geojson]};var je=function(t,e){this.type=e.type,this.name=t,this.boundExpression=e};je.parse=function(t,e){if(2!==t.length||"string"!=typeof t[1])return e.error("'var' expression requires exactly one string literal argument.");var r=t[1];return e.scope.has(r)?new je(r,e.scope.get(r)):e.error('Unknown variable "'+r+'". Make sure "'+r+'" has been bound in an enclosing "let" expression before using it.',1)},je.prototype.evaluate=function(t){return this.boundExpression.evaluate(t)},je.prototype.eachChild=function(){},je.prototype.outputDefined=function(){return!1},je.prototype.serialize=function(){return["var",this.name]};var Ue=function(t,e,r,n,i){void 0===e&&(e=[]),void 0===n&&(n=new Rt),void 0===i&&(i=[]),this.registry=t,this.path=e,this.key=e.map((function(t){return"["+t+"]"})).join(""),this.scope=n,this.errors=i,this.expectedType=r};function Ve(t,e){for(var r,n,i=t.length-1,a=0,o=i,s=0;a<=o;)if(r=t[s=Math.floor((a+o)/2)],n=t[s+1],r<=e){if(s===i||e<n)return s;a=s+1}else{if(!(r>e))throw new ue("Input is not a number.");o=s-1}return 0}Ue.prototype.parse=function(t,e,r,n,i){return void 0===i&&(i={}),e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)},Ue.prototype._parse=function(t,e){function r(t,e,r){return"assert"===r?new he(e,[t]):"coerce"===r?new ge(e,[t]):t}if(null!==t&&"string"!=typeof t&&"boolean"!=typeof t&&"number"!=typeof t||(t=["literal",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. If you wanted a literal array, use ["literal", []].');var n=t[0];if("string"!=typeof n)return this.error("Expression name must be a string, but found "+typeof n+' instead. If you wanted a literal array, use ["literal", [...]].',0),null;var i=this.registry[n];if(i){var a=i.parse(t,this);if(!a)return null;if(this.expectedType){var o=this.expectedType,s=a.type;if("string"!==o.kind&&"number"!==o.kind&&"boolean"!==o.kind&&"object"!==o.kind&&"array"!==o.kind||"value"!==s.kind)if("color"!==o.kind&&"formatted"!==o.kind&&"resolvedImage"!==o.kind||"value"!==s.kind&&"string"!==s.kind){if(this.checkSubtype(o,s))return null}else a=r(a,o,e.typeAnnotation||"coerce");else a=r(a,o,e.typeAnnotation||"assert")}if(!(a instanceof ce)&&"resolvedImage"!==a.type.kind&&function t(e){if(e instanceof je)return t(e.boundExpression);if(e instanceof xe&&"error"===e.name)return!1;if(e instanceof be)return!1;if(e instanceof Re)return!1;var r=e instanceof ge||e instanceof he,n=!0;if(e.eachChild((function(e){n=r?n&&t(e):n&&e instanceof ce})),!n)return!1;return Fe(e)&&Ne(e,["zoom","heatmap-density","line-progress","accumulated","is-supported-script"])}(a)){var l=new ye;try{a=new ce(a.type,a.evaluate(l))}catch(t){return this.error(t.message),null}}return a}return this.error('Unknown expression "'+n+'". If you wanted a literal array, use ["literal", [...]].',0)}return void 0===t?this.error("'undefined' value invalid. Use null instead."):"object"==typeof t?this.error('Bare objects invalid. Use ["literal", {...}] instead.'):this.error("Expected an array, but found "+typeof t+" instead.")},Ue.prototype.concat=function(t,e,r){var n="number"==typeof t?this.path.concat(t):this.path,i=r?this.scope.concat(r):this.scope;return new Ue(this.registry,n,e||null,i,this.errors)},Ue.prototype.error=function(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];var n=""+this.key+e.map((function(t){return"["+t+"]"})).join("");this.errors.push(new Dt(n,t))},Ue.prototype.checkSubtype=function(t,e){var r=Jt(t,e);return r&&this.error(r),r};var He=function(t,e,r){this.type=t,this.input=e,this.labels=[],this.outputs=[];for(var n=0,i=r;n<i.length;n+=1){var a=i[n],o=a[0],s=a[1];this.labels.push(o),this.outputs.push(s)}};function qe(t,e,r){return t*(1-r)+e*r}He.parse=function(t,e){if(t.length-1<4)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if((t.length-1)%2!=0)return e.error("Expected an even number of arguments.");var r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&"value"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if("number"!=typeof o)return e.error('Input/output pairs for "step" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for "step" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=["step",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if("exponential"===t.name)a=sr(e,t.base,n,i);else if("linear"===t.name)a=sr(e,1,n,i);else if("cubic-bezier"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error("Expected an interpolation type expression.",1);if("linear"===n[0])n={name:"linear"};else if("exponential"===n[0]){var o=n[1];if("number"!=typeof o)return e.error("Exponential interpolation requires a numeric base.",1,1);n={name:"exponential",base:o}}else{if("cubic-bezier"!==n[0])return e.error("Unknown interpolation type "+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return"number"!=typeof t||t<0||t>1})))return e.error("Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.",1);n={name:"cubic-bezier",controlPoints:s}}if(t.length-1<4)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if((t.length-1)%2!=0)return e.error("Expected an even number of arguments.");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;"interpolate-hcl"===r||"interpolate-lab"===r?c=Ut:e.expectedType&&"value"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if("number"!=typeof f)return e.error('Input/output pairs for "interpolate" expressions must be defined using literal numeric values (not computed expressions) for the input values.',p);if(l.length&&l[l.length-1][0]>=f)return e.error('Input/output pairs for "interpolate" expressions must be arranged with input values in strictly ascending order.',p);var m=e.parse(h,d,c);if(!m)return null;c=c||m.type,l.push([f,m])}return"number"===c.kind||"color"===c.kind||"array"===c.kind&&"number"===c.itemType.kind&&"number"==typeof c.N?new or(c,r,n,i,l):e.error("Type "+Xt(c)+" is not interpolatable.")},or.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;if(n>=e[i-1])return r[i-1].evaluate(t);var a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return"interpolate"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):"interpolate-hcl"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t="linear"===this.interpolation.name?["linear"]:"exponential"===this.interpolation.name?1===this.interpolation.base?["linear"]:["exponential",this.interpolation.base]:["cubic-bezier"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error("Expectected at least one argument.");var r=null,n=e.expectedType;n&&"value"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:"omit"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=["coalesce"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found "+(t.length-1)+" instead.");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if("string"!=typeof i)return e.error("Expected string, but found "+typeof i+" instead.",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error("Variable names must contain only alphanumeric characters or '_'.",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=["let"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue("Array index out of bounds: "+e+" < 0.");if(e>=r.length)throw new ue("Array index out of bounds: "+e+" > "+(r.length-1)+".");if(e!==Math.floor(e))throw new ue("Array index must be an integer, but found "+e+" instead.");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return["at",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error("Expected first argument to be of type boolean, string, number or null, but found "+Xt(r.type)+" instead"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,["boolean","string","number","null"]))throw new ue("Expected first argument to be of type boolean, string, number or null, but found "+Xt(se(e))+" instead.");if(!Qt(r,["string","array"]))throw new ue("Expected second argument to be of type array or string, but found "+Xt(se(r))+" instead.");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return["in",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error("Expected first argument to be of type boolean, string, number or null, but found "+Xt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,["boolean","string","number","null"]))throw new ue("Expected first argument to be of type boolean, string, number or null, but found "+Xt(se(e))+" instead.");if(!Qt(r,["string","array"]))throw new ue("Expected second argument to be of type array or string, but found "+Xt(se(r))+" instead.");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return["index-of",this.needle.serialize(),this.haystack.serialize(),t]}return["index-of",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if(t.length%2!=1)return e.error("Expected an even number of arguments.");var r,n;e.expectedType&&"value"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error("Expected at least one branch label.");for(var u=0,f=s;u<f.length;u+=1){var h=f[u];if("number"!=typeof h&&"string"!=typeof h)return c.error("Branch labels must be numbers or strings.");if("number"==typeof h&&Math.abs(h)>Number.MAX_SAFE_INTEGER)return c.error("Branch labels must be integers no larger than "+Number.MAX_SAFE_INTEGER+".");if("number"==typeof h&&Math.floor(h)!==h)return c.error("Numeric branch labels must be integer values.");if(r){if(c.checkSubtype(r,se(h)))return null}else r=se(h);if(void 0!==i[String(h)])return c.error("Branch labels must be unique.");i[String(h)]=a.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,a.push(p)}var d=e.parse(t[1],1,Ht);if(!d)return null;var m=e.parse(t[t.length-1],t.length-1,n);return m?"value"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=["match",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return"number"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found only "+(t.length-1)+".");if(t.length%2!=0)return e.error("Expected an odd number of arguments.");var r;e.expectedType&&"value"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return t[1].outputDefined()}))&&this.otherwise.outputDefined()},dr.prototype.serialize=function(){var t=["case"];return this.eachChild((function(e){t.push(e.serialize())})),t};var mr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function gr(t,e){return"=="===t||"!="===t?"boolean"===e.kind||"string"===e.kind||"number"===e.kind||"null"===e.kind||"value"===e.kind:"string"===e.kind||"number"===e.kind||"value"===e.kind}function vr(t,e,r,n){return 0===n.compare(e,r)}function yr(t,e,r){var n="=="!==t&&"!="!==t;return function(){function i(t,e,r){this.type=jt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument="value"===t.type.kind||"value"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error("Expected two or three arguments.");var r=t[0],a=e.parse(t[1],1,Ht);if(!a)return null;if(!gr(r,a.type))return e.concat(1).error('"'+r+"\" comparisons are not supported for type '"+Xt(a.type)+"'.");var o=e.parse(t[2],2,Ht);if(!o)return null;if(!gr(r,o.type))return e.concat(2).error('"'+r+"\" comparisons are not supported for type '"+Xt(o.type)+"'.");if(a.type.kind!==o.type.kind&&"value"!==a.type.kind&&"value"!==o.type.kind)return e.error("Cannot compare types '"+Xt(a.type)+"' and '"+Xt(o.type)+"'.");n&&("value"===a.type.kind&&"value"!==o.type.kind?a=new he(o.type,[a]):"value"!==a.type.kind&&"value"===o.type.kind&&(o=new he(a.type,[o])));var s=null;if(4===t.length){if("string"!==a.type.kind&&"string"!==o.type.kind&&"value"!==a.type.kind&&"value"!==o.type.kind)return e.error("Cannot use collator to compare non-string types.");if(!(s=e.parse(t[3],3,qt)))return null}return new i(a,o,s)},i.prototype.evaluate=function(i){var a=this.lhs.evaluate(i),o=this.rhs.evaluate(i);if(n&&this.hasUntypedArgument){var s=se(a),l=se(o);if(s.kind!==l.kind||"string"!==s.kind&&"number"!==s.kind)throw new ue('Expected arguments for "'+t+'" to be (string, string) or (number, number), but found ('+s.kind+", "+l.kind+") instead.")}if(this.collator&&!n&&this.hasUntypedArgument){var c=se(a),u=se(o);if("string"!==c.kind||"string"!==u.kind)return e(i,a,o)}return this.collator?r(i,a,o,this.collator.evaluate(i)):e(i,a,o)},i.prototype.eachChild=function(t){t(this.lhs),t(this.rhs),this.collator&&t(this.collator)},i.prototype.outputDefined=function(){return!0},i.prototype.serialize=function(){var e=[t];return this.eachChild((function(t){e.push(t.serialize())})),e},i}()}mr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Bt);if(!r||!n)return null;if(!Kt(r.type,[Wt(Ht),Nt,Ht]))return e.error("Expected first argument to be of type array or string, but found "+Xt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new mr(r.type,r,n,i):null}return new mr(r.type,r,n)},mr.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!Qt(e,["string","array"]))throw new ue("Expected first argument to be of type array or string, but found "+Xt(se(e))+" instead.");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},mr.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},mr.prototype.outputDefined=function(){return!1},mr.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return["slice",this.input.serialize(),this.beginIndex.serialize(),t]}return["slice",this.input.serialize(),this.beginIndex.serialize()]};var xr=yr("==",(function(t,e,r){return e===r}),vr),br=yr("!=",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!vr(0,e,r,n)})),_r=yr("<",(function(t,e,r){return e<r}),(function(t,e,r,n){return n.compare(e,r)<0})),wr=yr(">",(function(t,e,r){return e>r}),(function(t,e,r,n){return n.compare(e,r)>0})),Tr=yr("<=",(function(t,e,r){return e<=r}),(function(t,e,r,n){return n.compare(e,r)<=0})),kr=yr(">=",(function(t,e,r){return e>=r}),(function(t,e,r,n){return n.compare(e,r)>=0})),Ar=function(t,e,r,n,i){this.type=Nt,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i};Ar.parse=function(t,e){if(3!==t.length)return e.error("Expected two arguments.");var r=e.parse(t[1],1,Bt);if(!r)return null;var n=t[2];if("object"!=typeof n||Array.isArray(n))return e.error("NumberFormat options argument must be an object.");var i=null;if(n.locale&&!(i=e.parse(n.locale,1,Nt)))return null;var a=null;if(n.currency&&!(a=e.parse(n.currency,1,Nt)))return null;var o=null;if(n["min-fraction-digits"]&&!(o=e.parse(n["min-fraction-digits"],1,Bt)))return null;var s=null;return n["max-fraction-digits"]&&!(s=e.parse(n["max-fraction-digits"],1,Bt))?null:new Ar(r,i,a,o,s)},Ar.prototype.evaluate=function(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?"currency":"decimal",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))},Ar.prototype.eachChild=function(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)},Ar.prototype.outputDefined=function(){return!1},Ar.prototype.serialize=function(){var t={};return this.locale&&(t.locale=this.locale.serialize()),this.currency&&(t.currency=this.currency.serialize()),this.minFractionDigits&&(t["min-fraction-digits"]=this.minFractionDigits.serialize()),this.maxFractionDigits&&(t["max-fraction-digits"]=this.maxFractionDigits.serialize()),["number-format",this.number.serialize(),t]};var Mr=function(t){this.type=Bt,this.input=t};Mr.parse=function(t,e){if(2!==t.length)return e.error("Expected 1 argument, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1);return r?"array"!==r.type.kind&&"string"!==r.type.kind&&"value"!==r.type.kind?e.error("Expected argument of type string or array, but found "+Xt(r.type)+" instead."):new Mr(r):null},Mr.prototype.evaluate=function(t){var e=this.input.evaluate(t);if("string"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new ue("Expected value to be of type string or array, but found "+Xt(se(e))+" instead.")},Mr.prototype.eachChild=function(t){t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){var t=["length"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Sr={"==":xr,"!=":br,">":wr,"<":_r,">=":kr,"<=":Tr,array:he,at:ur,boolean:he,case:dr,coalesce:lr,collator:be,format:pe,image:de,in:fr,"index-of":hr,interpolate:or,"interpolate-hcl":or,"interpolate-lab":or,length:Mr,let:cr,literal:ce,match:pr,number:he,"number-format":Ar,object:he,slice:mr,step:He,string:he,"to-boolean":ge,"to-color":ge,"to-number":ge,"to-string":ge,var:je,within:Re};function Er(t,e){var r=e[0],n=e[1],i=e[2],a=e[3];r=r.evaluate(t),n=n.evaluate(t),i=i.evaluate(t);var o=a?a.evaluate(t):1,s=ae(r,n,i,o);if(s)throw new ue(s);return new te(r/255*o,n/255*o,i/255*o,o)}function Lr(t,e){return t in e}function Cr(t,e){var r=e[t];return void 0===r?null:r}function Pr(t){return{type:t}}function Ir(t){return{result:"success",value:t}}function Or(t){return{result:"error",value:t}}function zr(t){return"data-driven"===t["property-type"]||"cross-faded-data-driven"===t["property-type"]}function Dr(t){return!!t.expression&&t.expression.parameters.indexOf("zoom")>-1}function Rr(t){return!!t.expression&&t.expression.interpolated}function Fr(t){return t instanceof Number?"number":t instanceof String?"string":t instanceof Boolean?"boolean":Array.isArray(t)?"array":null===t?"null":typeof t}function Br(t){return"object"==typeof t&&null!==t&&!Array.isArray(t)}function Nr(t){return t}function jr(t,e,r){return void 0!==t?t:void 0!==e?e:void 0!==r?r:void 0}function Ur(t,e,r,n,i){return jr(typeof r===i?n[r]:void 0,t.default,e.default)}function Vr(t,e,r){if("number"!==Fr(r))return jr(t.default,e.default);var n=t.stops.length;if(1===n)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[n-1][0])return t.stops[n-1][1];var i=Ve(t.stops.map((function(t){return t[0]})),r);return t.stops[i][1]}function Hr(t,e,r){var n=void 0!==t.base?t.base:1;if("number"!==Fr(r))return jr(t.default,e.default);var i=t.stops.length;if(1===i)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[i-1][0])return t.stops[i-1][1];var a=Ve(t.stops.map((function(t){return t[0]})),r),o=function(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}(r,n,t.stops[a][0],t.stops[a+1][0]),s=t.stops[a][1],l=t.stops[a+1][1],c=Ge[e.type]||Nr;if(t.colorSpace&&"rgb"!==t.colorSpace){var u=ar[t.colorSpace];c=function(t,e){return u.reverse(u.interpolate(u.forward(t),u.forward(e),o))}}return"function"==typeof s.evaluate?{evaluate:function(){for(var t=[],e=arguments.length;e--;)t[e]=arguments[e];var r=s.evaluate.apply(void 0,t),n=l.evaluate.apply(void 0,t);if(void 0!==r&&void 0!==n)return c(r,n,o)}}:c(s,l,o)}function qr(t,e,r){return"color"===e.type?r=te.parse(r):"formatted"===e.type?r=ne.fromString(r.toString()):"resolvedImage"===e.type?r=ie.fromString(r.toString()):Fr(r)===e.type||"enum"===e.type&&e.values[r]||(r=void 0),jr(r,t.default,e.default)}xe.register(Sr,{error:[{kind:"error"},[Nt],function(t,e){var r=e[0];throw new ue(r.evaluate(t))}],typeof:[Nt,[Ht],function(t,e){return Xt(se(e[0].evaluate(t)))}],"to-rgba":[Wt(Bt,4),[Ut],function(t,e){return e[0].evaluate(t).toArray()}],rgb:[Ut,[Bt,Bt,Bt],Er],rgba:[Ut,[Bt,Bt,Bt,Bt],Er],has:{type:jt,overloads:[[[Nt],function(t,e){return Lr(e[0].evaluate(t),t.properties())}],[[Nt,Vt],function(t,e){var r=e[0],n=e[1];return Lr(r.evaluate(t),n.evaluate(t))}]]},get:{type:Ht,overloads:[[[Nt],function(t,e){return Cr(e[0].evaluate(t),t.properties())}],[[Nt,Vt],function(t,e){var r=e[0],n=e[1];return Cr(r.evaluate(t),n.evaluate(t))}]]},"feature-state":[Ht,[Nt],function(t,e){return Cr(e[0].evaluate(t),t.featureState||{})}],properties:[Vt,[],function(t){return t.properties()}],"geometry-type":[Nt,[],function(t){return t.geometryType()}],id:[Ht,[],function(t){return t.id()}],zoom:[Bt,[],function(t){return t.globals.zoom}],"heatmap-density":[Bt,[],function(t){return t.globals.heatmapDensity||0}],"line-progress":[Bt,[],function(t){return t.globals.lineProgress||0}],accumulated:[Ht,[],function(t){return void 0===t.globals.accumulated?null:t.globals.accumulated}],"+":[Bt,Pr(Bt),function(t,e){for(var r=0,n=0,i=e;n<i.length;n+=1){r+=i[n].evaluate(t)}return r}],"*":[Bt,Pr(Bt),function(t,e){for(var r=1,n=0,i=e;n<i.length;n+=1){r*=i[n].evaluate(t)}return r}],"-":{type:Bt,overloads:[[[Bt,Bt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)-n.evaluate(t)}],[[Bt],function(t,e){return-e[0].evaluate(t)}]]},"/":[Bt,[Bt,Bt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)/n.evaluate(t)}],"%":[Bt,[Bt,Bt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)%n.evaluate(t)}],ln2:[Bt,[],function(){return Math.LN2}],pi:[Bt,[],function(){return Math.PI}],e:[Bt,[],function(){return Math.E}],"^":[Bt,[Bt,Bt],function(t,e){var r=e[0],n=e[1];return Math.pow(r.evaluate(t),n.evaluate(t))}],sqrt:[Bt,[Bt],function(t,e){var r=e[0];return Math.sqrt(r.evaluate(t))}],log10:[Bt,[Bt],function(t,e){var r=e[0];return Math.log(r.evaluate(t))/Math.LN10}],ln:[Bt,[Bt],function(t,e){var r=e[0];return Math.log(r.evaluate(t))}],log2:[Bt,[Bt],function(t,e){var r=e[0];return Math.log(r.evaluate(t))/Math.LN2}],sin:[Bt,[Bt],function(t,e){var r=e[0];return Math.sin(r.evaluate(t))}],cos:[Bt,[Bt],function(t,e){var r=e[0];return Math.cos(r.evaluate(t))}],tan:[Bt,[Bt],function(t,e){var r=e[0];return Math.tan(r.evaluate(t))}],asin:[Bt,[Bt],function(t,e){var r=e[0];return Math.asin(r.evaluate(t))}],acos:[Bt,[Bt],function(t,e){var r=e[0];return Math.acos(r.evaluate(t))}],atan:[Bt,[Bt],function(t,e){var r=e[0];return Math.atan(r.evaluate(t))}],min:[Bt,Pr(Bt),function(t,e){return Math.min.apply(Math,e.map((function(e){return e.evaluate(t)})))}],max:[Bt,Pr(Bt),function(t,e){return Math.max.apply(Math,e.map((function(e){return e.evaluate(t)})))}],abs:[Bt,[Bt],function(t,e){var r=e[0];return Math.abs(r.evaluate(t))}],round:[Bt,[Bt],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[Bt,[Bt],function(t,e){var r=e[0];return Math.floor(r.evaluate(t))}],ceil:[Bt,[Bt],function(t,e){var r=e[0];return Math.ceil(r.evaluate(t))}],"filter-==":[jt,[Nt,Ht],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],"filter-id-==":[jt,[Ht],function(t,e){var r=e[0];return t.id()===r.value}],"filter-type-==":[jt,[Nt],function(t,e){var r=e[0];return t.geometryType()===r.value}],"filter-<":[jt,[Nt,Ht],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i<a}],"filter-id-<":[jt,[Ht],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n<i}],"filter->":[jt,[Nt,Ht],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i>a}],"filter-id->":[jt,[Ht],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n>i}],"filter-<=":[jt,[Nt,Ht],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i<=a}],"filter-id-<=":[jt,[Ht],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n<=i}],"filter->=":[jt,[Nt,Ht],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i>=a}],"filter-id->=":[jt,[Ht],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n>=i}],"filter-has":[jt,[Ht],function(t,e){return e[0].value in t.properties()}],"filter-has-id":[jt,[],function(t){return null!==t.id()&&void 0!==t.id()}],"filter-type-in":[jt,[Wt(Nt)],function(t,e){return e[0].value.indexOf(t.geometryType())>=0}],"filter-id-in":[jt,[Wt(Ht)],function(t,e){return e[0].value.indexOf(t.id())>=0}],"filter-in-small":[jt,[Nt,Wt(Ht)],function(t,e){var r=e[0];return e[1].value.indexOf(t.properties()[r.value])>=0}],"filter-in-large":[jt,[Nt,Wt(Ht)],function(t,e){var r=e[0],n=e[1];return function(t,e,r,n){for(;r<=n;){var i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[r.value],n.value,0,n.value.length-1)}],all:{type:jt,overloads:[[[jt,jt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)&&n.evaluate(t)}],[Pr(jt),function(t,e){for(var r=0,n=e;r<n.length;r+=1){if(!n[r].evaluate(t))return!1}return!0}]]},any:{type:jt,overloads:[[[jt,jt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)||n.evaluate(t)}],[Pr(jt),function(t,e){for(var r=0,n=e;r<n.length;r+=1){if(n[r].evaluate(t))return!0}return!1}]]},"!":[jt,[jt],function(t,e){return!e[0].evaluate(t)}],"is-supported-script":[jt,[Nt],function(t,e){var r=e[0],n=t.globals&&t.globals.isSupportedScript;return!n||n(r.evaluate(t))}],upcase:[Nt,[Nt],function(t,e){return e[0].evaluate(t).toUpperCase()}],downcase:[Nt,[Nt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Nt,Pr(Ht),function(t,e){return e.map((function(e){return le(e.evaluate(t))})).join("")}],"resolved-locale":[Nt,[qt],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var Gr=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new ye,this._defaultValue=e?function(t){return"color"===t.type&&Br(t.default)?new te(0,0,0,0):"color"===t.type?te.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&"enum"===e.type?e.values:null};function Yr(t){return Array.isArray(t)&&t.length>0&&"string"==typeof t[0]&&t[0]in Sr}function Wr(t,e){var r=new Ue(Sr,[],e?function(t){var e={color:Ut,string:Nt,number:Bt,enum:Nt,boolean:jt,formatted:Gt,resolvedImage:Yt};if("array"===t.type)return Wt(e[t.value]||Ht,t.length);return e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&"string"===e.type?{typeAnnotation:"coerce"}:void 0);return n?Ir(new Gr(n,e)):Or(r.errors)}Gr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},Gr.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||"number"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new ue("Expected value to be one of "+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(", ")+", but found "+JSON.stringify(o)+" instead.");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,"undefined"!=typeof console&&console.warn(t.message)),this._defaultValue}};var Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent="constant"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent="camera"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if("error"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt("","data expressions not supported")]);var i=Ne(r,["zoom"]);if(!i&&!Dr(e))return Or([new Dt("","zoom expressions not supported")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;n<i.length;n+=1){var a=i[n];if(r=t(a))break}else(e instanceof He||e instanceof or)&&e.input instanceof xe&&"zoom"===e.input.name&&(r=e);if(r instanceof Dt)return r;return e.eachChild((function(e){var n=t(e);n instanceof Dt?r=n:!r&&n?r=new Dt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):r&&n&&r!==n&&(r=new Dt("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))})),r}(r);if(!a&&!i)return Or([new Dt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.')]);if(a instanceof Dt)return Or([a]);if(a instanceof or&&!Rr(e))return Or([new Dt("",'"interpolate" expressions cannot be used with this property')]);if(!a)return Ir(new Xr(n?"constant":"source",t.value));var o=a instanceof or?a.interpolation:void 0;return Ir(new Zr(n?"camera":"composite",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o="color"===r.type,s=e.stops&&"object"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?"exponential":"interval");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&"rgb"!==e.colorSpace&&!ar[e.colorSpace])throw new Error("Unknown color space: "+e.colorSpace);if("exponential"===u)n=Hr;else if("interval"===u)n=Vr;else if("categorical"===u){n=Ur,i=Object.create(null);for(var f=0,h=e.stops;f<h.length;f+=1){var p=h[f];i[p[0]]=p[1]}a=typeof e.stops[0][0]}else{if("identity"!==u)throw new Error('Unknown function type "'+u+'"');n=qr}if(s){for(var d={},m=[],g=0;g<e.stops.length;g++){var v=e.stops[g],y=v[0].zoom;void 0===d[y]&&(d[y]={zoom:y,type:e.type,property:e.property,default:e.default,stops:[]},m.push(y)),d[y].stops.push([v[0].value,v[1]])}for(var x=[],b=0,_=m;b<_.length;b+=1){var w=_[b];x.push([d[w].zoom,t(d[w],r)])}var T={name:"linear"};return{kind:"composite",interpolationType:T,interpolationFactor:or.interpolationFactor.bind(void 0,T),zoomStops:x.map((function(t){return t[0]})),evaluate:function(t,n){var i=t.zoom;return Hr({stops:x,base:e.base},r,i).evaluate(i,n)}}}if(c){var k="exponential"===u?{name:"exponential",base:void 0!==e.base?e.base:1}:null;return{kind:"camera",interpolationType:k,interpolationFactor:or.interpolationFactor.bind(void 0,k),zoomStops:e.stops.map((function(t){return t[0]})),evaluate:function(t){var o=t.zoom;return n(e,r,o,i,a)}}}return{kind:"source",evaluate:function(t,o){var s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?jr(e.default,r.default):n(e,r,s,i,a)}}}(this._parameters,this._specification))};function Qr(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Fr(r);if("object"!==l)return[new Ct(e,r,"object expected, "+l+" found")];for(var c in r){var u=c.split(".")[0],f=n[u]||n["*"],h=void 0;if(i[u])h=i[u];else if(n[u])h=kn;else if(i["*"])h=i["*"];else{if(!n["*"]){s.push(new Ct(e,r[c],'unknown property "'+c+'"'));continue}h=kn}s=s.concat(h({key:(e?e+".":e)+c,value:r[c],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Ct(e,r,'missing required property "'+p+'"'));return s}function $r(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||kn;if("array"!==Fr(e))return[new Ct(a,e,"array expected, "+Fr(e)+" found")];if(r.length&&e.length!==r.length)return[new Ct(a,e,"array length "+r.length+" expected, length "+e.length+" found")];if(r["min-length"]&&e.length<r["min-length"])return[new Ct(a,e,"array length at least "+r["min-length"]+" expected, length "+e.length+" found")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),"object"===Fr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+"["+c+"]"}));return l}function tn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Fr(r);return"number"===i&&r!=r&&(i="NaN"),"number"!==i?[new Ct(e,r,"number expected, "+i+" found")]:"minimum"in n&&r<n.minimum?[new Ct(e,r,r+" is less than the minimum value "+n.minimum)]:"maximum"in n&&r>n.maximum?[new Ct(e,r,r+" is greater than the maximum value "+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s="categorical"!==a&&void 0===t.value.property,l=!s,c="array"===Fr(t.value.stops)&&"array"===Fr(t.value.stops[0])&&"object"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===a)return[new Ct(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),"array"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,"array must have at least one stop"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,"property functions not supported")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'"property" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if("array"!==Fr(a))return[new Ct(s,a,"array expected, "+Fr(a)+" found")];if(2!==a.length)return[new Ct(s,a,"array length 2 expected, length "+a.length+" found")];if(c){if("object"!==Fr(a[0]))return[new Ct(s,a,"object expected, "+Fr(a[0])+" found")];if(void 0===a[0].zoom)return[new Ct(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new Ct(s,a,"object stop key must have value")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,"stop zoom values must appear in ascending order")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(kn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Ct(t.key,c,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var u="number expected, "+s+" found";return zr(i)&&void 0===a&&(u+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Ct(t.key,c,u)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new Ct(t.key,c,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new Ct(t.key,c,"stop domain values must be unique")]:(o[l]=!0,[])):[new Ct(t.key,c,"integer expected, found "+l)]}}function rn(t){var e=("property"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new Ct(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Ne(r,["zoom","feature-state"]))return[new Ct(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" found")):-1===Object.keys(n.values).indexOf(Ot(r))&&i.push(new Ct(e,r,"expected one of ["+Object.keys(n.values).join(", ")+"], "+JSON.stringify(r)+" found")),i}function an(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case"has":return t.length>=2&&"$id"!==t[1]&&"$type"!==t[1];case"in":return t.length>=3&&("string"!=typeof t[1]||Array.isArray(t[2]));case"!in":case"!has":case"none":return!1;case"==":case"!=":case">":case">=":case"<":case"<=":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case"any":case"all":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!an(n)&&"boolean"!=typeof n)return!1}return!0;default:return!0}}Kr.deserialize=function(t){return new Kr(t._parameters,t._specification)},Kr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var on={type:"boolean",default:!1,transition:!1,"property-type":"data-driven",expression:{interpolated:!1,parameters:["zoom","feature"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if("within"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?un(t[1],t[2],"=="):"!="===r?pn(un(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?un(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(cn))):"all"===r?["all"].concat(t.slice(1).map(cn)):"none"===r?["all"].concat(t.slice(1).map(cn).map(pn)):"in"===r?fn(t[1],t.slice(2)):"!in"===r?pn(fn(t[1],t.slice(2))):"has"===r?hn(t[1]):"!has"===r?pn(hn(t[1])):"within"!==r||t}function un(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(ln)]]:["filter-in-small",t,["literal",e]]}}function hn(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function pn(t){return["!",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):function t(e){var r=e.value,n=e.key;if("array"!==Fr(r))return[new Ct(n,r,"array expected, "+Fr(r)+" found")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,"filter array must have at least 1 element")];switch(o=o.concat(nn({key:n+"[0]",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case"<":case"<=":case">":case">=":r.length>=2&&"$type"===Ot(r[1])&&o.push(new Ct(n,r,'"$type" cannot be use with operator "'+r[0]+'"'));case"==":case"!=":3!==r.length&&o.push(new Ct(n,r,'filter array for operator "'+r[0]+'" must have 3 elements'));case"in":case"!in":r.length>=2&&"string"!==(i=Fr(r[1]))&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));for(var s=2;s<r.length;s++)i=Fr(r[s]),"$type"===Ot(r[1])?o=o.concat(nn({key:n+"["+s+"]",value:r[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):"string"!==i&&"number"!==i&&"boolean"!==i&&o.push(new Ct(n+"["+s+"]",r[s],"string, number, or boolean expected, "+i+" found"));break;case"any":case"all":case"none":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+"["+l+"]",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case"has":case"!has":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new Ct(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function mn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property "'+o+'"')];if("string"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var f=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Br(zt(a))&&"identity"===Ot(a.type)&&f.push(new Ct(r,a,'"text-font" does not support identity functions'))),f.concat(kn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function gn(t){return mn(t,"paint")}function vn(t){return mn(t,"layout")}function yn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Ct(n,r,'either "type" or "ref" is required'));var o,s=Ot(r.type),l=Ot(r.ref);if(r.id)for(var c=Ot(r.id),u=0;u<t.arrayIndex;u++){var f=i.layers[u];Ot(f.id)===c&&e.push(new Ct(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+f.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new Ct(n,r[t],'"'+t+'" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ot(t.id)===l&&(o=t)})),o?o.ref?e.push(new Ct(n,r.ref,"ref cannot reference another ref layer")):s=Ot(o.type):e.push(new Ct(n,r.ref,'ref layer "'+l+'" not found'));else if("background"!==s)if(r.source){var h=i.sources&&i.sources[r.source],p=h&&Ot(h.type);h?"vector"===p&&"raster"===s?e.push(new Ct(n,r.source,'layer "'+r.id+'" requires a raster source')):"raster"===p&&"raster"!==s?e.push(new Ct(n,r.source,'layer "'+r.id+'" requires a vector source')):"vector"!==p||r["source-layer"]?"raster-dem"===p&&"hillshade"!==s?e.push(new Ct(n,r.source,"raster-dem source can only be used with layer type 'hillshade'.")):"line"!==s||!r.paint||!r.paint["line-gradient"]||"geojson"===p&&h.lineMetrics||e.push(new Ct(n,r,'layer "'+r.id+'" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Ct(n,r,'layer "'+r.id+'" must specify a "source-layer"')):e.push(new Ct(n,r.source,'source "'+r.source+'" not found'))}else e.push(new Ct(n,r,'missing required property "source"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return kn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return"string"!==n?[new Ct(r,e,"string expected, "+n+" found")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+"."+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'"type" is required')];var a,o=Ot(e.type);switch(o){case"vector":case"raster":case"raster-dem":return a=Qr({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:bn});case"geojson":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f="string"==typeof c?[c,["accumulated"],["get",s]]:c;a.push.apply(a,rn({key:r+"."+s+".map",value:u,expressionContext:"cluster-map"})),a.push.apply(a,rn({key:r+"."+s+".reduce",value:f,expressionContext:"cluster-reduce"}))}return a;case"video":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new Ct(r,null,"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.","source.canvas")];default:return nn({key:r+".type",value:e.type,valueSpec:{values:["vector","raster","raster-dem","geojson","video","image"]},style:i,styleSpec:n})}}function wn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Fr(e);if(void 0===e)return a;if("object"!==o)return a=a.concat([new Ct("light",e,"object expected, "+o+" found")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(kn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(kn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new Ct(s,e[s],'unknown property "'+s+'"')])}return a}var Tn={"*":function(){return[]},array:$r,boolean:function(t){var e=t.value,r=t.key,n=Fr(e);return"boolean"!==n?[new Ct(r,e,"boolean expected, "+n+" found")]:[]},number:tn,color:function(t){var e=t.key,r=t.value,n=Fr(r);return"string"!==n?[new Ct(e,r,"color expected, "+n+" found")]:null===$t(r)?[new Ct(e,r,'color expected, "'+r+'" found')]:[]},constants:Pt,enum:nn,filter:dn,function:en,layer:yn,object:Qr,source:_n,light:wn,string:xn,formatted:function(t){return 0===xn(t).length?[]:rn(t)},resolvedImage:function(t){return 0===xn(t).length?[]:rn(t)}};function kn(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&Br(Ot(e))?en(t):r.expression&&Yr(zt(e))?rn(t):r.type&&Tn[r.type]?Tn[r.type](t):Qr(It({},t,{valueSpec:r.type?n[r.type]:r}))}function An(t){var e=t.value,r=t.key,n=xn(t);return n.length||(-1===e.indexOf("{fontstack}")&&n.push(new Ct(r,e,'"glyphs" url must include a "{fontstack}" token')),-1===e.indexOf("{range}")&&n.push(new Ct(r,e,'"glyphs" url must include a "{range}" token'))),n}function Mn(t,e){void 0===e&&(e=Lt);var r=[];return r=r.concat(kn({key:"",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:An,"*":function(){return[]}}})),t.constants&&(r=r.concat(Pt({key:"constants",value:t.constants,style:t,styleSpec:e}))),Sn(r)}function Sn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function En(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Sn(t.apply(this,e))}}Mn.source=En(_n),Mn.light=En(wn),Mn.layer=En(yn),Mn.filter=En(dn),Mn.paintProperty=En(gn),Mn.layoutProperty=En(vn);var Ln=Mn,Cn=Ln.light,Pn=Ln.paintProperty,In=Ln.layoutProperty;function On(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new St(new Error(a.message))),r=!0}return r}var zn=Dn;function Dn(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length],c=i[3+n.length+1];this.keys=i.subarray(l,c),this.bboxes=i.subarray(c),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var u=0;u<this.d*this.d;u++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Dn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Dn.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},Dn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Dn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Dn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[h]=!0,a.push(c[h])):o[h]=!1}}},Dn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Dn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Dn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Dn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[3+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Rn=self.ImageData,Fn=self.ImageBitmap,Bn={};function Nn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),Bn[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var jn in Nn("Object",Object),zn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},zn.deserialize=function(t){return new zn(t.buffer)},Nn("Grid",zn),Nn("Color",te),Nn("Error",Error),Nn("ResolvedImage",ie),Nn("StylePropertyFunction",Kr),Nn("StyleExpression",Gr,{omit:["_evaluator"]}),Nn("ZoomDependentExpression",Zr),Nn("ZoomConstantExpression",Xr),Nn("CompoundExpression",xe,{omit:["_evaluate"]}),Sr)Sr[jn]._classRegistryKey||Nn("Expression_"+jn,Sr[jn]);function Un(t){return t&&"undefined"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&"ArrayBuffer"===t.constructor.name)}function Vn(t){return Fn&&t instanceof Fn}function Hn(t,e){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(Un(t)||Vn(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Rn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(Hn(o,e))}return n}if("object"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error("can't serialize object of unregistered class");var c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(Bn[l].omit.indexOf(u)>=0)){var f=t[u];c[u]=Bn[l].shallow.indexOf(u)>=0?f:Hn(f,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==l&&(c.$name=l),c}throw new Error("can't serialize object of type "+typeof t)}function qn(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||Un(t)||Vn(t)||ArrayBuffer.isView(t)||t instanceof Rn)return t;if(Array.isArray(t))return t.map(qn);if("object"==typeof t){var e=t.$name||"Object",r=Bn[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if("$name"!==o){var s=t[o];n[o]=Bn[e].shallow.indexOf(o)>=0?s:qn(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var Gn=function(){this.first=!0};Gn.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var Yn={"Latin-1 Supplement":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and Punctuation":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},"Hangul Compatibility Jamo":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},"Bopomofo Extended":function(t){return t>=12704&&t<=12735},"CJK Strokes":function(t){return t>=12736&&t<=12783},"Katakana Phonetic Extensions":function(t){return t>=12784&&t<=12799},"Enclosed CJK Letters and Months":function(t){return t>=12800&&t<=13055},"CJK Compatibility":function(t){return t>=13056&&t<=13311},"CJK Unified Ideographs Extension A":function(t){return t>=13312&&t<=19903},"Yijing Hexagram Symbols":function(t){return t>=19904&&t<=19967},"CJK Unified Ideographs":function(t){return t>=19968&&t<=40959},"Yi Syllables":function(t){return t>=40960&&t<=42127},"Yi Radicals":function(t){return t>=42128&&t<=42191},"Hangul Jamo Extended-A":function(t){return t>=43360&&t<=43391},"Hangul Syllables":function(t){return t>=44032&&t<=55215},"Hangul Jamo Extended-B":function(t){return t>=55216&&t<=55295},"Private Use Area":function(t){return t>=57344&&t<=63743},"CJK Compatibility Ideographs":function(t){return t>=63744&&t<=64255},"Arabic Presentation Forms-A":function(t){return t>=64336&&t<=65023},"Vertical Forms":function(t){return t>=65040&&t<=65055},"CJK Compatibility Forms":function(t){return t>=65072&&t<=65103},"Small Form Variants":function(t){return t>=65104&&t<=65135},"Arabic Presentation Forms-B":function(t){return t>=65136&&t<=65279},"Halfwidth and Fullwidth Forms":function(t){return t>=65280&&t<=65519}};function Wn(t){for(var e=0,r=t;e<r.length;e+=1){if(Zn(r[e].charCodeAt(0)))return!0}return!1}function Xn(t){return!Yn.Arabic(t)&&(!Yn["Arabic Supplement"](t)&&(!Yn["Arabic Extended-A"](t)&&(!Yn["Arabic Presentation Forms-A"](t)&&!Yn["Arabic Presentation Forms-B"](t))))}function Zn(t){return 746===t||747===t||!(t<4352)&&(!!Yn["Bopomofo Extended"](t)||(!!Yn.Bopomofo(t)||(!(!Yn["CJK Compatibility Forms"](t)||t>=65097&&t<=65103)||(!!Yn["CJK Compatibility Ideographs"](t)||(!!Yn["CJK Compatibility"](t)||(!!Yn["CJK Radicals Supplement"](t)||(!!Yn["CJK Strokes"](t)||(!(!Yn["CJK Symbols and Punctuation"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||(!!Yn["CJK Unified Ideographs Extension A"](t)||(!!Yn["CJK Unified Ideographs"](t)||(!!Yn["Enclosed CJK Letters and Months"](t)||(!!Yn["Hangul Compatibility Jamo"](t)||(!!Yn["Hangul Jamo Extended-A"](t)||(!!Yn["Hangul Jamo Extended-B"](t)||(!!Yn["Hangul Jamo"](t)||(!!Yn["Hangul Syllables"](t)||(!!Yn.Hiragana(t)||(!!Yn["Ideographic Description Characters"](t)||(!!Yn.Kanbun(t)||(!!Yn["Kangxi Radicals"](t)||(!!Yn["Katakana Phonetic Extensions"](t)||(!(!Yn.Katakana(t)||12540===t)||(!(!Yn["Halfwidth and Fullwidth Forms"](t)||65288===t||65289===t||65293===t||t>=65306&&t<=65310||65339===t||65341===t||65343===t||t>=65371&&t<=65503||65507===t||t>=65512&&t<=65519)||(!(!Yn["Small Form Variants"](t)||t>=65112&&t<=65118||t>=65123&&t<=65126)||(!!Yn["Unified Canadian Aboriginal Syllabics"](t)||(!!Yn["Unified Canadian Aboriginal Syllabics Extended"](t)||(!!Yn["Vertical Forms"](t)||(!!Yn["Yijing Hexagram Symbols"](t)||(!!Yn["Yi Syllables"](t)||!!Yn["Yi Radicals"](t))))))))))))))))))))))))))))))}function Jn(t){return!(Zn(t)||function(t){return!(!Yn["Latin-1 Supplement"](t)||167!==t&&169!==t&&174!==t&&177!==t&&188!==t&&189!==t&&190!==t&&215!==t&&247!==t)||(!(!Yn["General Punctuation"](t)||8214!==t&&8224!==t&&8225!==t&&8240!==t&&8241!==t&&8251!==t&&8252!==t&&8258!==t&&8263!==t&&8264!==t&&8265!==t&&8273!==t)||(!!Yn["Letterlike Symbols"](t)||(!!Yn["Number Forms"](t)||(!(!Yn["Miscellaneous Technical"](t)||!(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215))||(!(!Yn["Control Pictures"](t)||9251===t)||(!!Yn["Optical Character Recognition"](t)||(!!Yn["Enclosed Alphanumerics"](t)||(!!Yn["Geometric Shapes"](t)||(!(!Yn["Miscellaneous Symbols"](t)||t>=9754&&t<=9759)||(!(!Yn["Miscellaneous Symbols and Arrows"](t)||!(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243))||(!!Yn["CJK Symbols and Punctuation"](t)||(!!Yn.Katakana(t)||(!!Yn["Private Use Area"](t)||(!!Yn["CJK Compatibility Forms"](t)||(!!Yn["Small Form Variants"](t)||(!!Yn["Halfwidth and Fullwidth Forms"](t)||(8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)))))))))))))))))}(t))}function Kn(t){return t>=1424&&t<=2303||Yn["Arabic Presentation Forms-A"](t)||Yn["Arabic Presentation Forms-B"](t)}function Qn(t,e){return!(!e&&Kn(t))&&!(t>=2304&&t<=3583||t>=3840&&t<=4255||Yn.Khmer(t))}function $n(t){for(var e=0,r=t;e<r.length;e+=1){if(Kn(r[e].charCodeAt(0)))return!0}return!1}var ti="deferred",ei="loading",ri="loaded",ni="error",ii=null,ai="unavailable",oi=null,si=function(t){t&&"string"==typeof t&&t.indexOf("NetworkError")>-1&&(ai=ni),ii&&ii(t)};function li(){ci.fire(new Mt("pluginStateChange",{pluginStatus:ai,pluginURL:oi}))}var ci=new Et,ui=function(){return ai},fi=function(){if(ai!==ti||!oi)throw new Error("rtl-text-plugin cannot be downloaded unless a pluginURL is specified");ai=ei,li(),oi&&xt({url:oi},(function(t){t?si(t):(ai=ri,li())}))},hi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return ai===ri||null!=hi.applyArabicShaping},isLoading:function(){return ai===ei},setState:function(t){ai=t.pluginStatus,oi=t.pluginURL},isParsed:function(){return null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if("error"===r.result)throw new Error(r.value.map((function(t){return t.key+": "+t.message})).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=te.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+"-transition"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return"constant"===this.value.kind},bi.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return"constant"===t.expression.kind||"camera"===t.expression.kind?new bi(this,{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:"constant",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:"constant",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn("DataDrivenProperty",Ti),Nn("DataConstantProperty",wi),Nn("CrossFadedDataDrivenProperty",ki),Nn("CrossFadedProperty",Ai),Nn("ColorRampProperty",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".layout."+t;if(this._validate(In,n,t,e,r))return}"visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,"-transition")?this._transitionablePaint.getTransition(t.slice(0,-"-transition".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n="layers."+this.id+".paint."+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,"-transition"))return this._transitionablePaint.setTransition(t.slice(0,-"-transition".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&(("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn("StructArrayLayout2i4",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn("StructArrayLayout4i8",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn("StructArrayLayout2i4i12",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn("StructArrayLayout2i4ub8",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn("StructArrayLayout8ui2ub18",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn("StructArrayLayout4i4ui4i24",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn("StructArrayLayout3f12",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn("StructArrayLayout1ul4",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn("StructArrayLayout6i1ul2ui20",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn("StructArrayLayout2i2i2i12",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn("StructArrayLayout2f1f2i16",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn("StructArrayLayout2ub2f12",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn("StructArrayLayout3ui6",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn("StructArrayLayout8i15ui1ul4f68",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn("StructArrayLayout1f4",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn("StructArrayLayout3i6",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn("StructArrayLayout1ul2ui8",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn("StructArrayLayout2ui4",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn("StructArrayLayout1ui2",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn("StructArrayLayout2f8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn("StructArrayLayout4f16",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn("CollisionBoxArray",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn("PlacedSymbolArray",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn("SymbolInstanceArray",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn("GlyphOffsetArray",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn("SymbolLineVertexArray",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Ci);ua.prototype.size=8;var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ua(this,t)},e}(Ki);Nn("FeatureIndexArray",fa);var ha=Ii([{name:"a_pos",components:2,type:"Int16"}],4).members,pa=function(t){void 0===t&&(t=[]),this.segments=t};function da(t,e){return 256*(t=l(Math.floor(t),0,255))+(e=l(Math.floor(e),0,255))}pa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>pa.MAX_VERTEX_ARRAY_LENGTH&&_("Max vertices per segment is "+pa.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>pa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},pa.prototype.get=function(){return this.segments},pa.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},pa.simpleSegment=function(t,e,r,n){return new pa([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},pa.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Nn("SegmentVector",pa);var ma=Ii([{name:"a_pattern_from",components:4,type:"Uint16"},{name:"a_pattern_to",components:4,type:"Uint16"},{name:"a_pixel_ratio_from",components:1,type:"Uint8"},{name:"a_pixel_ratio_to",components:1,type:"Uint8"}]),ga=e((function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}})),va=e((function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}})),ya=ga,xa=ga,ba=va;ya.murmur3=xa,ya.murmur2=ba;var _a=function(){this.ids=[],this.positions=[],this.indexed=!1};_a.prototype.add=function(t,e,r,n){this.ids.push(Ta(t)),this.positions.push(e,r,n)},_a.prototype.getPositions=function(t){for(var e=Ta(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var o=this.positions[3*r],s=this.positions[3*r+1],l=this.positions[3*r+2];a.push({index:o,start:s,end:l}),r++}return a},_a.serialize=function(t,e){var r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return function t(e,r,n,i){for(;n<i;){for(var a=e[n+i>>1],o=n-1,s=i+1;;){do{o++}while(e[o]<a);do{s--}while(e[s]>a);if(o>=s)break;ka(e,o,s),ka(r,3*o,3*s),ka(r,3*o+1,3*s+1),ka(r,3*o+2,3*s+2)}s-n<i-s?(t(e,r,n,s),n=s+1):(t(e,r,s+1,i),i=s)}}(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}},_a.deserialize=function(t){var e=new _a;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var wa=Math.pow(2,53)-1;function Ta(t){var e=+t;return!isNaN(e)&&e<=wa?e:ya(String(t))}function ka(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Nn("FeaturePositionMap",_a);var Aa=function(t,e){this.gl=t.gl,this.location=e},Ma=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Aa),Sa=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Aa),Ea=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Aa),La=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(Aa),Ca=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(Aa),Pa=function(t){function e(e,r){t.call(this,e,r),this.current=te.transparent}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(Aa),Ia=new Float32Array(16),Oa=function(t){function e(e,r){t.call(this,e,r),this.current=Ia}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Aa);function za(t){return[da(255*t.r,255*t.g),da(255*t.b,255*t.a)]}var Da=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};Da.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Da.prototype.getBinding=function(t,e,r){return"color"===this.type?new Pa(t,e):new Sa(t,e)};var Ra=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ra.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ra.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},Ra.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Ca(t,e):new Sa(t,e)};var Fa=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};Fa.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Fa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Fa.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=za(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Fa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Fa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ba=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ba.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ba.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ba.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=za(r),a=za(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ba.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ba.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ba.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ba.prototype.getBinding=function(t,e,r){return new Sa(t,e)};var Na=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Na.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Na.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Na.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},Na.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,ma.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,ma.members,this.expression.isStateDependent))},Na.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var ja=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push("/u_"+a);else if("source"===l.kind||h){var p=Ha(a,c,"source");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push("/a_"+a)}else{var d=Ha(a,c,"composite");this.binders[a]=new Ba(l,s,c,u,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{"line-pattern":{source:Bi,composite:Bi},"fill-pattern":{source:Bi,composite:Bi},"fill-extrusion-pattern":{source:Bi,composite:Bi}}[t]}(t);return i&&i[r]||n[e][r]}Ua.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ua.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ua.prototype.get=function(t){return this.programConfigurations[t]},Ua.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ua.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Nn("ConstantBinder",Da),Nn("CrossFadedConstantBinder",Ra),Nn("SourceExpressionBinder",Fa),Nn("CrossFadedCompositeBinder",Na),Nn("CompositeExpressionBinder",Ba),Nn("ProgramConfiguration",ja,{omit:["_buffers"]}),Nn("ProgramConfigurationSet",Ua);var qa,Ga=(qa=15,{min:-1*Math.pow(2,qa-1),max:Math.pow(2,qa-1)-1});function Ya(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Ga.min||o.x>Ga.max||o.y<Ga.min||o.y>Ga.max)&&(_("Geometry exceeds allowed extent, reduce your vector tile buffer size"),o.x=l(o.x,Ga.min,Ga.max),o.y=l(o.y,Ga.min,Ga.max))}return r}function Wa(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Xa=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new zi,this.indexArray=new Yi,this.segments=new pa,this.programConfigurations=new Ua(ha,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Za(t,e){for(var r=0;r<t.length;r++)if(io(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(io(t,e[n]))return!0;return!!$a(t,e)}function Ja(t,e,r){return!!io(t,e)||!!eo(e,t,r)}function Ka(t,e){if(1===t.length)return no(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(io(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(no(e,t[a]))return!0;for(var o=0;o<e.length;o++)if($a(t,e[o]))return!0;return!1}function Qa(t,e,r){if(t.length>1){if($a(t,e))return!0;for(var n=0;n<e.length;n++)if(eo(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(eo(t[i],e,r))return!0;return!1}function $a(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++){if(to(n,i,e[a],e[a+1]))return!0}return!1}function to(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function eo(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++){if(ro(t,e[i-1],e[i])<n)return!0}return!1}function ro(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function no(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function io(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function ao(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function so(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function lo(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}Xa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Ya(c):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),d,r)){p||(d.geometry=Ya(c));var m=a?a.evaluate(d,{},r):void 0,g={id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:m};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},Xa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Xa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Xa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Xa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ha),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Xa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Xa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Wa(this.layoutVertexArray,c,u,-1,-1),Wa(this.layoutVertexArray,c,u,1,-1),Wa(this.layoutVertexArray,c,u,1,1),Wa(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Nn("CircleBucket",Xa,{omit:["layers"]});var co=new Si({"circle-sort-key":new Ti(Lt.layout_circle["circle-sort-key"])}),uo={paint:new Si({"circle-radius":new Ti(Lt.paint_circle["circle-radius"]),"circle-color":new Ti(Lt.paint_circle["circle-color"]),"circle-blur":new Ti(Lt.paint_circle["circle-blur"]),"circle-opacity":new Ti(Lt.paint_circle["circle-opacity"]),"circle-translate":new wi(Lt.paint_circle["circle-translate"]),"circle-translate-anchor":new wi(Lt.paint_circle["circle-translate-anchor"]),"circle-pitch-scale":new wi(Lt.paint_circle["circle-pitch-scale"]),"circle-pitch-alignment":new wi(Lt.paint_circle["circle-pitch-alignment"]),"circle-stroke-width":new Ti(Lt.paint_circle["circle-stroke-width"]),"circle-stroke-color":new Ti(Lt.paint_circle["circle-stroke-color"]),"circle-stroke-opacity":new Ti(Lt.paint_circle["circle-stroke-opacity"])}),layout:co},fo="undefined"!=typeof Float32Array?Float32Array:Array;function ho(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function po(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}Math.hypot||(Math.hypot=function(){for(var t=arguments,e=0,r=arguments.length;r--;)e+=t[r]*t[r];return Math.sqrt(e)});var mo=po;var go,vo,yo=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};go=new fo(3),fo!=Float32Array&&(go[0]=0,go[1]=0,go[2]=0),vo=go;function xo(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}!function(){var t=function(){var t=new fo(4);return fo!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[3]=0),t}()}();var bo=function(t){var e=t[0],r=t[1];return e*e+r*r},_o=(function(){var t=function(){var t=new fo(2);return fo!=Float32Array&&(t[0]=0,t[1]=0),t}()}(),function(t){function e(e){t.call(this,e,uo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Xa(t)},e.prototype.queryRadius=function(t){var e=t;return oo("circle-radius",this,e)+oo("circle-stroke-width",this,e)+so(this.paint.get("circle-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o,s){for(var l=lo(t,this.paint.get("circle-translate"),this.paint.get("circle-translate-anchor"),a.angle,o),c=this.paint.get("circle-radius").evaluate(e,r)+this.paint.get("circle-stroke-width").evaluate(e,r),u="map"===this.paint.get("circle-pitch-alignment"),f=u?l:function(t,e){return t.map((function(t){return wo(t,e)}))}(l,s),h=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var m=0,g=d[p];m<g.length;m+=1){var v=g[m],y=u?v:wo(v,s),x=h,b=xo([],[v.x,v.y,0,1],s);if("viewport"===this.paint.get("circle-pitch-scale")&&"map"===this.paint.get("circle-pitch-alignment")?x*=b[3]/a.cameraToCenterDistance:"map"===this.paint.get("circle-pitch-scale")&&"viewport"===this.paint.get("circle-pitch-alignment")&&(x*=a.cameraToCenterDistance/b[3]),Ja(f,y,x))return!0}return!1},e}(Ei));function wo(t,e){var r=xo([],[t.x,t.y,0,1],e);return new i(r[0]/r[3],r[1]/r[3])}var To=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Xa);function ko(t,e,r,n){var i=e.width,a=e.height;if(n){if(n instanceof Uint8ClampedArray)n=new Uint8Array(n.buffer);else if(n.length!==i*a*r)throw new RangeError("mismatched image size")}else n=new Uint8Array(i*a*r);return t.width=i,t.height=a,t.data=n,t}function Ao(t,e,r){var n=e.width,i=e.height;if(n!==t.width||i!==t.height){var a=ko({},{width:n,height:i},r);Mo(t,a,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,i)},r),t.width=n,t.height=i,t.data=a.data}}function Mo(t,e,r,n,i,a){if(0===i.width||0===i.height)return e;if(i.width>t.width||i.height>t.height||r.x>t.width-i.width||r.y>t.height-i.height)throw new RangeError("out of range source coordinates for image copy");if(i.width>e.width||i.height>e.height||n.x>e.width-i.width||n.y>e.height-i.height)throw new RangeError("out of range destination coordinates for image copy");for(var o=t.data,s=e.data,l=0;l<i.height;l++)for(var c=((r.y+l)*t.width+r.x)*a,u=((n.y+l)*e.width+n.x)*a,f=0;f<i.width*a;f++)s[u+f]=o[c+f];return e}Nn("HeatmapBucket",To,{omit:["layers"]});var So=function(t,e){ko(this,t,1,e)};So.prototype.resize=function(t){Ao(this,t,1)},So.prototype.clone=function(){return new So({width:this.width,height:this.height},new Uint8Array(this.data))},So.copy=function(t,e,r,n,i){Mo(t,e,r,n,i,1)};var Eo=function(t,e){ko(this,t,4,e)};Eo.prototype.resize=function(t){Ao(this,t,4)},Eo.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Eo.prototype.clone=function(){return new Eo({width:this.width,height:this.height},new Uint8Array(this.data))},Eo.copy=function(t,e,r,n,i){Mo(t,e,r,n,i,4)},Nn("AlphaImage",So),Nn("RGBAImage",Eo);var Lo={paint:new Si({"heatmap-radius":new Ti(Lt.paint_heatmap["heatmap-radius"]),"heatmap-weight":new Ti(Lt.paint_heatmap["heatmap-weight"]),"heatmap-intensity":new wi(Lt.paint_heatmap["heatmap-intensity"]),"heatmap-color":new Mi(Lt.paint_heatmap["heatmap-color"]),"heatmap-opacity":new wi(Lt.paint_heatmap["heatmap-opacity"])})};function Co(t,e){for(var r=new Uint8Array(1024),n={},i=0,a=0;i<256;i++,a+=4){n[e]=i/255;var o=t.evaluate(n);r[a+0]=Math.floor(255*o.r/o.a),r[a+1]=Math.floor(255*o.g/o.a),r[a+2]=Math.floor(255*o.b/o.a),r[a+3]=Math.floor(255*o.a)}return new Eo({width:256,height:1},r)}var Po=function(t){function e(e){t.call(this,e,Lo),this._updateColorRamp()}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new To(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){"heatmap-color"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){var t=this._transitionablePaint._values["heatmap-color"].value.expression;this.colorRamp=Co(t,"heatmapDensity"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get("heatmap-opacity")&&"none"!==this.visibility},e}(Ei),Io={paint:new Si({"hillshade-illumination-direction":new wi(Lt.paint_hillshade["hillshade-illumination-direction"]),"hillshade-illumination-anchor":new wi(Lt.paint_hillshade["hillshade-illumination-anchor"]),"hillshade-exaggeration":new wi(Lt.paint_hillshade["hillshade-exaggeration"]),"hillshade-shadow-color":new wi(Lt.paint_hillshade["hillshade-shadow-color"]),"hillshade-highlight-color":new wi(Lt.paint_hillshade["hillshade-highlight-color"]),"hillshade-accent-color":new wi(Lt.paint_hillshade["hillshade-accent-color"])})},Oo=function(t){function e(e){t.call(this,e,Io)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get("hillshade-exaggeration")&&"none"!==this.visibility},e}(Ei),zo=Ii([{name:"a_pos",components:2,type:"Int16"}],4).members,Do=Fo,Ro=Fo;function Fo(t,e,r){r=r||2;var n,i,a,o,s,l,c,u=e&&e.length,f=u?e[0]*r:t.length,h=Bo(t,0,f,r,!0),p=[];if(!h||h.next===h.prev)return p;if(u&&(h=function(t,e,r,n){var i,a,o,s,l,c=[];for(i=0,a=e.length;i<a;i++)o=e[i]*n,s=i<a-1?e[i+1]*n:t.length,(l=Bo(t,o,s,n,!1))===l.next&&(l.steiner=!0),c.push(Zo(l));for(c.sort(Go),i=0;i<c.length;i++)Yo(c[i],r),r=No(r,r.next);return r}(t,e,h,r)),t.length>80*r){n=a=t[0],i=o=t[1];for(var d=r;d<f;d+=r)(s=t[d])<n&&(n=s),(l=t[d+1])<i&&(i=l),s>a&&(a=s),l>o&&(o=l);c=0!==(c=Math.max(a-n,o-i))?1/c:0}return jo(h,p,r,n,i,c),p}function Bo(t,e,r,n,i){var a,o;if(i===ls(t,e,r,n)>0)for(a=e;a<r;a+=n)o=as(a,t[a],t[a+1],o);else for(a=r-n;a>=e;a-=n)o=as(a,t[a],t[a+1],o);return o&&$o(o,o.next)&&(os(o),o=o.next),o}function No(t,e){if(!t)return t;e||(e=t);var r,n=t;do{if(r=!1,n.steiner||!$o(n,n.next)&&0!==Qo(n.prev,n,n.next))n=n.next;else{if(os(n),(n=e=n.prev)===n.next)break;r=!0}}while(r||n!==e);return e}function jo(t,e,r,n,i,a,o){if(t){!o&&a&&function(t,e,r,n){var i=t;do{null===i.z&&(i.z=Xo(i.x,i.y,e,r,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next}while(i!==t);i.prevZ.nextZ=null,i.prevZ=null,function(t){var e,r,n,i,a,o,s,l,c=1;do{for(r=t,t=null,a=null,o=0;r;){for(o++,n=r,s=0,e=0;e<c&&(s++,n=n.nextZ);e++);for(l=c;s>0||l>0&&n;)0!==s&&(0===l||!n||r.z<=n.z)?(i=r,r=r.nextZ,s--):(i=n,n=n.nextZ,l--),a?a.nextZ=i:t=i,i.prevZ=a,a=i;r=n}a.nextZ=null,c*=2}while(o>1)}(i)}(t,n,i,a);for(var s,l,c=t;t.prev!==t.next;)if(s=t.prev,l=t.next,a?Vo(t,n,i,a):Uo(t))e.push(s.i/r),e.push(t.i/r),e.push(l.i/r),os(t),t=l.next,c=l.next;else if((t=l)===c){o?1===o?jo(t=Ho(No(t),e,r),e,r,n,i,a,2):2===o&&qo(t,e,r,n,i,a):jo(No(t),e,r,n,i,a,1);break}}}function Uo(t){var e=t.prev,r=t,n=t.next;if(Qo(e,r,n)>=0)return!1;for(var i=t.next.next;i!==t.prev;){if(Jo(e.x,e.y,r.x,r.y,n.x,n.y,i.x,i.y)&&Qo(i.prev,i,i.next)>=0)return!1;i=i.next}return!0}function Vo(t,e,r,n){var i=t.prev,a=t,o=t.next;if(Qo(i,a,o)>=0)return!1;for(var s=i.x<a.x?i.x<o.x?i.x:o.x:a.x<o.x?a.x:o.x,l=i.y<a.y?i.y<o.y?i.y:o.y:a.y<o.y?a.y:o.y,c=i.x>a.x?i.x>o.x?i.x:o.x:a.x>o.x?a.x:o.x,u=i.y>a.y?i.y>o.y?i.y:o.y:a.y>o.y?a.y:o.y,f=Xo(s,l,e,r,n),h=Xo(c,u,e,r,n),p=t.prevZ,d=t.nextZ;p&&p.z>=f&&d&&d.z<=h;){if(p!==t.prev&&p!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&Qo(p.prev,p,p.next)>=0)return!1;if(p=p.prevZ,d!==t.prev&&d!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,d.x,d.y)&&Qo(d.prev,d,d.next)>=0)return!1;d=d.nextZ}for(;p&&p.z>=f;){if(p!==t.prev&&p!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&Qo(p.prev,p,p.next)>=0)return!1;p=p.prevZ}for(;d&&d.z<=h;){if(d!==t.prev&&d!==t.next&&Jo(i.x,i.y,a.x,a.y,o.x,o.y,d.x,d.y)&&Qo(d.prev,d,d.next)>=0)return!1;d=d.nextZ}return!0}function Ho(t,e,r){var n=t;do{var i=n.prev,a=n.next.next;!$o(i,a)&&ts(i,n,n.next,a)&&ns(i,a)&&ns(a,i)&&(e.push(i.i/r),e.push(n.i/r),e.push(a.i/r),os(n),os(n.next),n=t=a),n=n.next}while(n!==t);return No(n)}function qo(t,e,r,n,i,a){var o=t;do{for(var s=o.next.next;s!==o.prev;){if(o.i!==s.i&&Ko(o,s)){var l=is(o,s);return o=No(o,o.next),l=No(l,l.next),jo(o,e,r,n,i,a),void jo(l,e,r,n,i,a)}s=s.next}o=o.next}while(o!==t)}function Go(t,e){return t.x-e.x}function Yo(t,e){if(e=function(t,e){var r,n=e,i=t.x,a=t.y,o=-1/0;do{if(a<=n.y&&a>=n.next.y&&n.next.y!==n.y){var s=n.x+(a-n.y)*(n.next.x-n.x)/(n.next.y-n.y);if(s<=i&&s>o){if(o=s,s===i){if(a===n.y)return n;if(a===n.next.y)return n.next}r=n.x<n.next.x?n:n.next}}n=n.next}while(n!==e);if(!r)return null;if(i===o)return r;var l,c=r,u=r.x,f=r.y,h=1/0;n=r;do{i>=n.x&&n.x>=u&&i!==n.x&&Jo(a<f?i:o,a,u,f,a<f?o:i,a,n.x,n.y)&&(l=Math.abs(a-n.y)/(i-n.x),ns(n,t)&&(l<h||l===h&&(n.x>r.x||n.x===r.x&&Wo(r,n)))&&(r=n,h=l)),n=n.next}while(n!==c);return r}(t,e)){var r=is(e,t);No(e,e.next),No(r,r.next)}}function Wo(t,e){return Qo(t.prev,t,e.prev)<0&&Qo(e.next,t,t.next)<0}function Xo(t,e,r,n,i){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t=32767*(t-r)*i)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e=32767*(e-n)*i)|e<<8))|e<<4))|e<<2))|e<<1))<<1}function Zo(t){var e=t,r=t;do{(e.x<r.x||e.x===r.x&&e.y<r.y)&&(r=e),e=e.next}while(e!==t);return r}function Jo(t,e,r,n,i,a,o,s){return(i-o)*(e-s)-(t-o)*(a-s)>=0&&(t-o)*(n-s)-(r-o)*(e-s)>=0&&(r-o)*(a-s)-(i-o)*(n-s)>=0}function Ko(t,e){return t.next.i!==e.i&&t.prev.i!==e.i&&!function(t,e){var r=t;do{if(r.i!==t.i&&r.next.i!==t.i&&r.i!==e.i&&r.next.i!==e.i&&ts(r,r.next,t,e))return!0;r=r.next}while(r!==t);return!1}(t,e)&&(ns(t,e)&&ns(e,t)&&function(t,e){var r=t,n=!1,i=(t.x+e.x)/2,a=(t.y+e.y)/2;do{r.y>a!=r.next.y>a&&r.next.y!==r.y&&i<(r.next.x-r.x)*(a-r.y)/(r.next.y-r.y)+r.x&&(n=!n),r=r.next}while(r!==t);return n}(t,e)&&(Qo(t.prev,t,e.prev)||Qo(t,e.prev,e))||$o(t,e)&&Qo(t.prev,t,t.next)>0&&Qo(e.prev,e,e.next)>0)}function Qo(t,e,r){return(e.y-t.y)*(r.x-e.x)-(e.x-t.x)*(r.y-e.y)}function $o(t,e){return t.x===e.x&&t.y===e.y}function ts(t,e,r,n){var i=rs(Qo(t,e,r)),a=rs(Qo(t,e,n)),o=rs(Qo(r,n,t)),s=rs(Qo(r,n,e));return i!==a&&o!==s||(!(0!==i||!es(t,r,e))||(!(0!==a||!es(t,n,e))||(!(0!==o||!es(r,t,n))||!(0!==s||!es(r,e,n)))))}function es(t,e,r){return e.x<=Math.max(t.x,r.x)&&e.x>=Math.min(t.x,r.x)&&e.y<=Math.max(t.y,r.y)&&e.y>=Math.min(t.y,r.y)}function rs(t){return t>0?1:t<0?-1:0}function ns(t,e){return Qo(t.prev,t,t.next)<0?Qo(t,e,t.next)>=0&&Qo(t,t.prev,e)>=0:Qo(t,e,t.prev)<0||Qo(t,t.next,e)<0}function is(t,e){var r=new ss(t.i,t.x,t.y),n=new ss(e.i,e.x,e.y),i=t.next,a=e.prev;return t.next=e,e.prev=t,r.next=i,i.prev=r,n.next=r,r.prev=n,a.next=n,n.prev=a,n}function as(t,e,r,n){var i=new ss(t,e,r);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function os(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function ss(t,e,r){this.i=t,this.x=e,this.y=r,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}function ls(t,e,r,n){for(var i=0,a=e,o=r-n;a<r;a+=n)i+=(t[o]-t[a])*(t[a+1]+t[o+1]),o=a;return i}function cs(t,e,r,n,i){!function t(e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),c=.5*Math.exp(2*l/3),u=.5*Math.sqrt(l*c*(o-c)/o)*(s-o/2<0?-1:1),f=Math.max(n,Math.floor(r-s*c/o+u)),h=Math.min(i,Math.floor(r+(o-s)*c/o+u));t(e,r,f,h,a)}var p=e[r],d=n,m=i;for(us(e,n,r),a(e[i],p)>0&&us(e,n,i);d<m;){for(us(e,d,m),d++,m--;a(e[d],p)<0;)d++;for(;a(e[m],p)>0;)m--}0===a(e[n],p)?us(e,n,m):(m++,us(e,m,i)),m<=r&&(n=m+1),r<=m&&(i=m-1)}}(t,e,r||0,n||t.length-1,i||fs)}function us(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function fs(t,e){return t<e?-1:t>e?1:0}function hs(t,e){var r=t.length;if(r<=1)return[t];for(var n,i,a=[],o=0;o<r;o++){var s=T(t[o]);0!==s&&(t[o].area=Math.abs(s),void 0===i&&(i=s<0),i===s<0?(n&&a.push(n),n=[t[o]]):n.push(t[o]))}if(n&&a.push(n),e>1)for(var l=0;l<a.length;l++)a[l].length<=e||(cs(a[l],e,1,a[l].length-1,ps),a[l]=a[l].slice(0,e));return a}function ps(t,e){return e.area-t.area}function ds(t,e,r){for(var n=r.patternDependencies,i=!1,a=0,o=e;a<o.length;a+=1){var s=o[a].paint.get(t+"-pattern");s.isConstant()||(i=!0);var l=s.constantOr(null);l&&(i=!0,n[l.to]=!0,n[l.from]=!0)}return i}function ms(t,e,r,n,i){for(var a=i.patternDependencies,o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.paint.get(t+"-pattern").value;if("constant"!==c.kind){var u=c.evaluate({zoom:n-1},r,{},i.availableImages),f=c.evaluate({zoom:n},r,{},i.availableImages),h=c.evaluate({zoom:n+1},r,{},i.availableImages);u=u&&u.name?u.name:u,f=f&&f.name?f.name:f,h=h&&h.name?h.name:h,a[u]=!0,a[f]=!0,a[h]=!0,r.patterns[l.id]={min:u,mid:f,max:h}}}return r}Fo.deviation=function(t,e,r,n){var i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(ls(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(ls(t,c,u,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},Fo.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r},Do.default=Ro;var gs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new zi,this.indexArray=new Yi,this.indexArray2=new Qi,this.programConfigurations=new Ua(zo,t.layers,t.zoom),this.segments=new pa,this.segments2=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};gs.prototype.populate=function(t,e,r){this.hasPattern=ds("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r,e.availableImages):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms("fill",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},gs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},gs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},gs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},gs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},gs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,zo),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},gs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},gs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],m=0,g=s;m<g.length;m+=1){var v=g[m];if(0!==v.length){v!==s[0]&&d.push(p.length/2);var y=this.segments2.prepareSegment(v.length,this.layoutVertexArray,this.indexArray2),x=y.vertexLength;this.layoutVertexArray.emplaceBack(v[0].x,v[0].y),this.indexArray2.emplaceBack(x+v.length-1,x),p.push(v[0].x),p.push(v[0].y);for(var b=1;b<v.length;b++)this.layoutVertexArray.emplaceBack(v[b].x,v[b].y),this.indexArray2.emplaceBack(x+b-1,x+b),p.push(v[b].x),p.push(v[b].y);y.vertexLength+=v.length,y.primitiveLength+=v.length}}for(var _=Do(p,d),w=0;w<_.length;w+=3)this.indexArray.emplaceBack(h+_[w],h+_[w+1],h+_[w+2]);f.vertexLength+=l,f.primitiveLength+=_.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillBucket",gs,{omit:["layers","patternFeatures"]});var vs=new Si({"fill-sort-key":new Ti(Lt.layout_fill["fill-sort-key"])}),ys={paint:new Si({"fill-antialias":new wi(Lt.paint_fill["fill-antialias"]),"fill-opacity":new Ti(Lt.paint_fill["fill-opacity"]),"fill-color":new Ti(Lt.paint_fill["fill-color"]),"fill-outline-color":new Ti(Lt.paint_fill["fill-outline-color"]),"fill-translate":new wi(Lt.paint_fill["fill-translate"]),"fill-translate-anchor":new wi(Lt.paint_fill["fill-translate-anchor"]),"fill-pattern":new ki(Lt.paint_fill["fill-pattern"])}),layout:vs},xs=function(t){function e(e){t.call(this,e,ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r);var n=this.paint._values["fill-outline-color"];"constant"===n.value.kind&&void 0===n.value.value&&(this.paint._values["fill-outline-color"]=this.paint._values["fill-color"])},e.prototype.createBucket=function(t){return new gs(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o){return Ka(lo(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(Ei),bs=Ii([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,_s=ws;function ws(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Ts,this,e)}function Ts(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){var r=t.readVarint()+t.pos;for(;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function ks(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}ws.types=["Unknown","Point","LineString","Polygon"],ws.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,a=0,o=0,s=0,l=[];t.pos<r;){if(a<=0){var c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var h={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillExtrusionBucket",Os,{omit:["layers","features"]});var Rs={paint:new Si({"fill-extrusion-opacity":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new ki(Lt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Ti(Lt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new wi(Lt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms("line",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),c=a.get("line-round-limit"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,u),"miter"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if("flipbevel"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if("bevel"===E||"fakeround"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),"fakeround"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if("butt"===E)this.addCurrentVertex(u,y,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn("LineBucket",qs,{omit:["layers","patternFeatures"]});var Gs=new Si({"line-cap":new wi(Lt.layout_line["line-cap"]),"line-join":new Ti(Lt.layout_line["line-join"]),"line-miter-limit":new wi(Lt.layout_line["line-miter-limit"]),"line-round-limit":new wi(Lt.layout_line["line-round-limit"]),"line-sort-key":new Ti(Lt.layout_line["line-sort-key"])}),Ys={paint:new Si({"line-opacity":new Ti(Lt.paint_line["line-opacity"]),"line-color":new Ti(Lt.paint_line["line-color"]),"line-translate":new wi(Lt.paint_line["line-translate"]),"line-translate-anchor":new wi(Lt.paint_line["line-translate-anchor"]),"line-width":new Ti(Lt.paint_line["line-width"]),"line-gap-width":new Ti(Lt.paint_line["line-gap-width"]),"line-offset":new Ti(Lt.paint_line["line-offset"]),"line-blur":new Ti(Lt.paint_line["line-blur"]),"line-dasharray":new Ai(Lt.paint_line["line-dasharray"]),"line-pattern":new ki(Lt.paint_line["line-pattern"]),"line-gradient":new Mi(Lt.paint_line["line-gradient"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties["line-width"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values["line-gradient"].value.expression;this.gradient=Co(t,"lineProgress"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values["line-floorwidth"]=Ws.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo("line-width",this,e),oo("line-gap-width",this,e)),n=oo("line-offset",this,e);return r/2+Math.abs(n)+so(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),c=s/2*Zs(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),u=this.paint.get("line-offset").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var Js=Ii([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"},{name:"a_pixeloffset",components:4,type:"Int16"}],4),Ks=Ii([{name:"a_projected_pos",components:3,type:"Float32"}],4),Qs=(Ii([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),Ii([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),$s=(Ii([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]),Ii([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),tl=Ii([{name:"a_pos",components:2,type:"Float32"},{name:"a_radius",components:1,type:"Float32"},{name:"a_flags",components:2,type:"Int16"}],4);Ii([{name:"triangle",components:3,type:"Uint16"}]),Ii([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Uint16",name:"glyphStartIndex"},{type:"Uint16",name:"numGlyphs"},{type:"Uint32",name:"vertexStartIndex"},{type:"Uint32",name:"lineStartIndex"},{type:"Uint32",name:"lineLength"},{type:"Uint16",name:"segment"},{type:"Uint16",name:"lowerSize"},{type:"Uint16",name:"upperSize"},{type:"Float32",name:"lineOffsetX"},{type:"Float32",name:"lineOffsetY"},{type:"Uint8",name:"writingMode"},{type:"Uint8",name:"placedOrientation"},{type:"Uint8",name:"hidden"},{type:"Uint32",name:"crossTileID"},{type:"Int16",name:"associatedIconIndex"}]),Ii([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Int16",name:"rightJustifiedTextSymbolIndex"},{type:"Int16",name:"centerJustifiedTextSymbolIndex"},{type:"Int16",name:"leftJustifiedTextSymbolIndex"},{type:"Int16",name:"verticalPlacedTextSymbolIndex"},{type:"Int16",name:"placedIconSymbolIndex"},{type:"Int16",name:"verticalPlacedIconSymbolIndex"},{type:"Uint16",name:"key"},{type:"Uint16",name:"textBoxStartIndex"},{type:"Uint16",name:"textBoxEndIndex"},{type:"Uint16",name:"verticalTextBoxStartIndex"},{type:"Uint16",name:"verticalTextBoxEndIndex"},{type:"Uint16",name:"iconBoxStartIndex"},{type:"Uint16",name:"iconBoxEndIndex"},{type:"Uint16",name:"verticalIconBoxStartIndex"},{type:"Uint16",name:"verticalIconBoxEndIndex"},{type:"Uint16",name:"featureIndex"},{type:"Uint16",name:"numHorizontalGlyphVertices"},{type:"Uint16",name:"numVerticalGlyphVertices"},{type:"Uint16",name:"numIconVertices"},{type:"Uint16",name:"numVerticalIconVertices"},{type:"Uint16",name:"useRuntimeCollisionCircles"},{type:"Uint32",name:"crossTileID"},{type:"Float32",name:"textBoxScale"},{type:"Float32",components:2,name:"textOffset"},{type:"Float32",name:"collisionCircleDiameter"}]),Ii([{type:"Float32",name:"offsetX"}]),Ii([{type:"Int16",name:"x"},{type:"Int16",name:"y"},{type:"Int16",name:"tileUnitDistanceFromAnchor"}]);function el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get("text-transform").evaluate(r,{});return"uppercase"===n?t=t.toLocaleUpperCase():"lowercase"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var rl={"!":"\ufe15","#":"\uff03",$:"\uff04","%":"\uff05","&":"\uff06","(":"\ufe35",")":"\ufe36","*":"\uff0a","+":"\uff0b",",":"\ufe10","-":"\ufe32",".":"\u30fb","/":"\uff0f",":":"\ufe13",";":"\ufe14","<":"\ufe3f","=":"\uff1d",">":"\ufe40","?":"\ufe16","@":"\uff20","[":"\ufe47","\\":"\uff3c","]":"\ufe48","^":"\uff3e",_:"\ufe33","`":"\uff40","{":"\ufe37","|":"\u2015","}":"\ufe38","~":"\uff5e","\xa2":"\uffe0","\xa3":"\uffe1","\xa5":"\uffe5","\xa6":"\uffe4","\xac":"\uffe2","\xaf":"\uffe3","\u2013":"\ufe32","\u2014":"\ufe31","\u2018":"\ufe43","\u2019":"\ufe44","\u201c":"\ufe41","\u201d":"\ufe42","\u2026":"\ufe19","\u2027":"\u30fb","\u20a9":"\uffe6","\u3001":"\ufe11","\u3002":"\ufe12","\u3008":"\ufe3f","\u3009":"\ufe40","\u300a":"\ufe3d","\u300b":"\ufe3e","\u300c":"\ufe41","\u300d":"\ufe42","\u300e":"\ufe43","\u300f":"\ufe44","\u3010":"\ufe3b","\u3011":"\ufe3c","\u3014":"\ufe39","\u3015":"\ufe3a","\u3016":"\ufe17","\u3017":"\ufe18","\uff01":"\ufe15","\uff08":"\ufe35","\uff09":"\ufe36","\uff0c":"\ufe10","\uff0d":"\ufe32","\uff0e":"\u30fb","\uff1a":"\ufe13","\uff1b":"\ufe14","\uff1c":"\ufe3f","\uff1e":"\ufe40","\uff1f":"\ufe16","\uff3b":"\ufe47","\uff3d":"\ufe48","\uff3f":"\ufe33","\uff5b":"\ufe37","\uff5c":"\u2015","\uff5d":"\ufe38","\uff5f":"\ufe35","\uff60":"\ufe36","\uff61":"\ufe12","\uff62":"\ufe41","\uff63":"\ufe42"};var nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}ol.Varint=0,ol.Fixed64=1,ol.Bytes=2,ol.Fixed32=5;var sl="undefined"==typeof TextDecoder?null:new TextDecoder("utf8");function ll(t){return t.type===ol.Bytes?t.readVarint()+t.pos:t.pos+1}function cl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function ul(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function fl(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function dl(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function ml(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function gl(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function vl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function yl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function xl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function bl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function _l(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function wl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}ol.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),i=n>>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=bl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=wl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=bl(this.buf,this.pos)+4294967296*bl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=bl(this.buf,this.pos)+4294967296*wl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=nl(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=nl(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,i,a=r.buf;if(i=a[r.pos++],n=(112&i)>>4,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<3,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<10,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<17,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(127&i)<<24,i<128)return cl(t,n,e);if(i=a[r.pos++],n|=(1&i)<<31,i<128)return cl(t,n,e);throw new Error("Expected varint not more than 10 bytes")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=this.pos;return this.pos=t,t-e>=12&&sl?function(t,e,r){return sl.decode(t.subarray(e,r))}(this.buf,e,t):function(t,e,r){var n="",i=e;for(;i<r;){var a,o,s,l=t[i],c=null,u=l>239?4:l>223?3:l>191?2:1;if(i+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(a=t[i+1]))&&(c=(31&l)<<6|63&a)<=127&&(c=null):3===u?(a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&((c=(15&l)<<12|(63&a)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&a)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),i+=u}return n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==ol.Bytes)return t.push(this.readVarint(e));var r=ll(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==ol.Bytes)return t.push(this.readSVarint());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==ol.Bytes)return t.push(this.readBoolean());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==ol.Bytes)return t.push(this.readFloat());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==ol.Bytes)return t.push(this.readDouble());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed32());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed32());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error("Unimplemented type: "+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Sl=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},El={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};El.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},El.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},El.tlbr.get=function(){return this.tl.concat(this.br)},El.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Sl.prototype,El);var Ll=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=Ml(i),o=a.w,s=a.h,l=new Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn("ImagePosition",Sl),Nn("ImageAtlas",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack="",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g="right"===s?1:"left"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn["Arabic Supplement"](Y)||Yn["Arabic Extended-A"](Y)||Yn["Arabic Presentation Forms-A"](Y)||Yn["Arabic Presentation Forms-B"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of images 6401")}else _("Can't add FormattedSection with an empty image.")},Il.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Bl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function Nl(t,e,r,n,i,a){for(var o=null,s=Fl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=Fl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function jl(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var m=!!(!((s=d)<11904)&&(Yn["Bopomofo Extended"](s)||Yn.Bopomofo(s)||Yn["CJK Compatibility Forms"](s)||Yn["CJK Compatibility Ideographs"](s)||Yn["CJK Compatibility"](s)||Yn["CJK Radicals Supplement"](s)||Yn["CJK Strokes"](s)||Yn["CJK Symbols and Punctuation"](s)||Yn["CJK Unified Ideographs Extension A"](s)||Yn["CJK Unified Ideographs"](s)||Yn["Enclosed CJK Letters and Months"](s)||Yn["Halfwidth and Fullwidth Forms"](s)||Yn.Hiragana(s)||Yn["Ideographic Description Characters"](s)||Yn["Kangxi Radicals"](s)||Yn["Katakana Phonetic Extensions"](s)||Yn.Katakana(s)||Yn["Vertical Forms"](s)||Yn["Yi Radicals"](s)||Yn["Yi Syllables"](s)));(Dl[d]||m||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),m&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Hl(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,m=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+m+n[1]):f=(p=i[0]+(d+m-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,v=e.bottom*a;return"height"===r||"both"===r?(u=i[1]+g-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(g+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}Dl[10]=!0,Dl[32]=!0,Dl[38]=!0,Dl[40]=!0,Dl[41]=!0,Dl[43]=!0,Dl[45]=!0,Dl[47]=!0,Dl[173]=!0,Dl[183]=!0,Dl[8203]=!0,Dl[8208]=!0,Dl[8211]=!0,Dl[8231]=!0;var ql=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);Nn("Anchor",ql);function Gl(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new pi(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new pi(s)),maxSize:r.evaluate(new pi(l)),interpolationType:i}}function Yl(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/128:"composite"===t.kind?qe(a/128,o/128,i):n}function Wl(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?l(or.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=qe(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Xl=Object.freeze({__proto__:null,getSizeData:Gl,evaluateSizeForFeature:Yl,evaluateSizeForZoom:Wl,SIZE_PACK_FACTOR:128});function Zl(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=u.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Kl(t,e,r){return t?.6*e*r:0}function Ql(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function $l(t,e,r,n,i,a){for(var o=Kl(r,i,a),s=Ql(r,n)*a,l=0,c=Jl(t)/2,u=0;u<t.length-1;u++){var f=t[u],h=t[u+1],p=f.dist(h);if(l+p>c){var d=(c-l)/p,m=qe(f.x,h.x,d),g=qe(f.y,h.y,d),v=new ql(m,g,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,f=Jl(e),h=0,p=r-n,d=[],m=0;m<e.length-1;m++){for(var g=e[m],v=e[m+1],y=g.dist(v),x=v.angleTo(g);p+n<h+y;){var b=((p+=n)-h)/y,_=qe(g.x,v.x,b),w=qe(g.y,v.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=f){var T=new ql(_,w,x,m);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],c=void 0,u=0;u<l.length-1;u++){var f=l[u],h=l[u+1];f.x<e&&h.x<e||(f.x<e?f=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},m=h.reduce(d,0),g=p.reduce(d,0),v=l-m,y=c-g,x=0,b=m,_=0,w=g,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=n[n.length-1];n.push({fixed:s-c.stretch,stretch:c.stretch}),n.push({fixed:s-c.stretch,stretch:c.stretch+(l-s)})}return n.push({fixed:e+1,stretch:r}),n}function ac(t,e,r,n){return t/e*r+n}function oc(t,e,r,n){return t-e*r/n}var sc=function(t,e,r,n,a,o,s,l,c,u){if(this.boxStartIndex=t.length,c){var f=o.top,h=o.bottom,p=o.collisionPadding;p&&(f-=p[1],h+=p[3]);var d=h-f;d>0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var m=o.top*s-l,g=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,m-=x[1]*s,y+=x[2]*s,g+=x[3]*s),u){var b=new i(v,m),_=new i(y,m),w=new i(v,g),T=new i(y,g),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),m=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,m,y,g,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;g<o;g+=p)for(var v=a;v<s;v+=p)m.push(new hc(g+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=m.length;m.length;){var b=m.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-7;break;case"bottom-right":case"bottom-left":case"bottom":i=7-r}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-7;break;case"bottom-right":case"bottom-left":n=7-i;break;case"bottom":n=7-e;break;case"top":n=e-7}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;"source"===v.kind?(y=[128*a.layout.get("text-size").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for "text-size" is >= 255. Reduce your "text-size".'):"composite"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for "text-size" is >= 255. Reduce your "text-size".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn("SymbolBuffers",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn("CollisionBuffers",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e["text-size"]),this.iconSizeData=Gl(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),c="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get("symbol-sort-key");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),I="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn("SymbolBucket",Mc,{omit:["layers","collisionBoxArray","features","compareText"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({"symbol-placement":new wi(Lt.layout_symbol["symbol-placement"]),"symbol-spacing":new wi(Lt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new wi(Lt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ti(Lt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new wi(Lt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new wi(Lt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new wi(Lt.layout_symbol["icon-ignore-placement"]),"icon-optional":new wi(Lt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new wi(Lt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ti(Lt.layout_symbol["icon-size"]),"icon-text-fit":new wi(Lt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new wi(Lt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ti(Lt.layout_symbol["icon-image"]),"icon-rotate":new Ti(Lt.layout_symbol["icon-rotate"]),"icon-padding":new wi(Lt.layout_symbol["icon-padding"]),"icon-keep-upright":new wi(Lt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ti(Lt.layout_symbol["icon-offset"]),"icon-anchor":new Ti(Lt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new wi(Lt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new wi(Lt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new wi(Lt.layout_symbol["text-rotation-alignment"]),"text-field":new Ti(Lt.layout_symbol["text-field"]),"text-font":new Ti(Lt.layout_symbol["text-font"]),"text-size":new Ti(Lt.layout_symbol["text-size"]),"text-max-width":new Ti(Lt.layout_symbol["text-max-width"]),"text-line-height":new wi(Lt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ti(Lt.layout_symbol["text-letter-spacing"]),"text-justify":new Ti(Lt.layout_symbol["text-justify"]),"text-radial-offset":new Ti(Lt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new wi(Lt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ti(Lt.layout_symbol["text-anchor"]),"text-max-angle":new wi(Lt.layout_symbol["text-max-angle"]),"text-writing-mode":new wi(Lt.layout_symbol["text-writing-mode"]),"text-rotate":new Ti(Lt.layout_symbol["text-rotate"]),"text-padding":new wi(Lt.layout_symbol["text-padding"]),"text-keep-upright":new wi(Lt.layout_symbol["text-keep-upright"]),"text-transform":new Ti(Lt.layout_symbol["text-transform"]),"text-offset":new Ti(Lt.layout_symbol["text-offset"]),"text-allow-overlap":new wi(Lt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new wi(Lt.layout_symbol["text-ignore-placement"]),"text-optional":new wi(Lt.layout_symbol["text-optional"])}),Ec={paint:new Si({"icon-opacity":new Ti(Lt.paint_symbol["icon-opacity"]),"icon-color":new Ti(Lt.paint_symbol["icon-color"]),"icon-halo-color":new Ti(Lt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ti(Lt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ti(Lt.paint_symbol["icon-halo-blur"]),"icon-translate":new wi(Lt.paint_symbol["icon-translate"]),"icon-translate-anchor":new wi(Lt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ti(Lt.paint_symbol["text-opacity"]),"text-color":new Ti(Lt.paint_symbol["text-color"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ti(Lt.paint_symbol["text-halo-color"]),"text-halo-width":new Ti(Lt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ti(Lt.paint_symbol["text-halo-blur"]),"text-translate":new wi(Lt.paint_symbol["text-translate"]),"text-translate-anchor":new wi(Lt.paint_symbol["text-translate-anchor"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn("FormatSectionOverride",Lc,{omit:["defaultValue"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s="constant"===i.value.kind||"source"===i.value.kind?new Xr("source",o):new Zr("composite",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({"background-color":new wi(Lt.paint_background["background-color"]),"background-pattern":new Ai(Lt.paint_background["background-pattern"]),"background-opacity":new wi(Lt.paint_background["background-opacity"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({"raster-opacity":new wi(Lt.paint_raster["raster-opacity"]),"raster-hue-rotate":new wi(Lt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new wi(Lt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new wi(Lt.paint_raster["raster-brightness-max"]),"raster-saturation":new wi(Lt.paint_raster["raster-saturation"]),"raster-contrast":new wi(Lt.paint_raster["raster-contrast"]),"raster-resampling":new wi(Lt.paint_raster["raster-resampling"]),"raster-fade-duration":new wi(Lt.paint_raster["raster-fade-duration"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,"fill-extrusion":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Hc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Wc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn("CanonicalTileID",eu),Nn("OverscaledTileID",nu,{omit:["posMatrix"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return _('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn("DEMData",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn("FeatureIndex",uu,{omit:["rawTileData","sourceLayerCoder"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||"deferred"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 0===t.length&&(mu.measure(this._marks.measure,this._marks.start,this._marks.end),t=mu.getEntriesByName(this._marks.measure),mu.clearMarks(this._marks.start),mu.clearMarks(this._marks.end),mu.clearMeasures(this._marks.measure)),t},t.Actor=qc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=Mt,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=gs,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=qs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=H,t.RequestPerformance=gu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=qi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Mc,t.Texture=Vc,t.Tile=du,t.Transitionable=gi,t.Uniform1f=Sa,t.Uniform1i=Ma,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return"custom"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=On,t.endsWith=g,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Yl,t.evaluateSizeForZoom=Wl,t.evaluateVariableOffset=dc,t.evented=ci,t.extend=u,t.featureFilter=sn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Ul,t.getAnchorJustification=mc,t.getArrayBuffer=xt,t.getImage=Tt,t.getJSON=function(t,e){return yt(u(t,{type:"json"}),e)},t.getRTLTextPluginStatus=ui,t.getReferrer=gt,t.getVideo=function(t,e){var r,n,i=self.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement("source");r=t[a],n=void 0,(n=self.document.createElement("a")).href=r,(n.protocol!==self.document.location.protocol||n.host!==self.document.location.host)&&(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=ho,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t):null},t.isChar=Yn,t.isMapboxURL=q,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c["text-size"].possiblyEvaluate(new pi(h),o),c["text-size"].possiblyEvaluate(new pi(p),o)]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,m=d.minZoom,g=d.maxZoom;u.compositeIconSizes=[c["icon-size"].possiblyEvaluate(new pi(m),o),c["icon-size"].possiblyEvaluate(new pi(g),o)]}u.layoutTextSize=c["text-size"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c["icon-size"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c["text-size"].possiblyEvaluate(new pi(18));for(var v=24*l.get("text-line-height"),y="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=l.get("text-size"),w=function(){var a=k[T],s=l.get("text-font").evaluate(a,{},o).join(","),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,m=[0,0];if(d){var g=d.toString(),w=24*l.get("text-letter-spacing").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e<r.length;e+=1){if(!Xn(r[e].charCodeAt(0)))return!1}return!0}(g)?w:0,M=l.get("text-anchor").evaluate(a,{},o),S=l.get("text-variable-anchor");if(!S){var E=l.get("text-radial-offset").evaluate(a,{},o);m=E?dc(M,[24*E,pc]):l.get("text-offset").evaluate(a,{},o).map((function(t){return 24*t}))}var L=y?"center":l.get("text-justify").evaluate(a,{},o),C=l.get("symbol-placement"),P="point"===C?24*l.get("text-max-width").evaluate(a,{},o):0,I=function(){t.allowVerticalPlacement&&Wn(g)&&(p.vertical=Ol(d,e,r,i,s,P,v,M,"left",A,m,Cl.vertical,!0,C,f,c))};if(!y&&S){for(var O="auto"===L?S.map((function(t){return mc(t)})):[L],z=!1,D=0;D<O.length;D++){var R=O[D];if(!p.horizontal[R])if(z)p.horizontal[R]=p.horizontal[0];else{var F=Ol(d,e,r,i,s,P,v,"center",R,A,m,Cl.horizontal,!1,C,f,c);F&&(p.horizontal[R]=F,z=1===F.positionedLines.length)}}I()}else{"auto"===L&&(L=mc(M));var B=Ol(d,e,r,i,s,P,v,M,L,A,m,Cl.horizontal,!1,C,f,c);B&&(p.horizontal[L]=B),I(),Wn(g)&&y&&x&&(p.vertical=Ol(d,e,r,i,s,P,v,M,L,A,m,Cl.vertical,!1,C,f,c))}}var N=void 0,j=!1;if(a.icon&&a.icon.name){var U=n[a.icon.name];U&&(N=function(t,e,r){var n=Ul(r),i=n.horizontalAlign,a=n.verticalAlign,o=e[0],s=e[1],l=o-t.displaySize[0]*i,c=l+t.displaySize[0],u=s-t.displaySize[1]*a;return{image:t,top:u,bottom:u+t.displaySize[1],left:l,right:c}}(i[a.icon.name],l.get("icon-offset").evaluate(a,{},o),l.get("icon-anchor").evaluate(a,{},o)),j=U.sdf,void 0===t.sdfIcons?t.sdfIcons=U.sdf:t.sdfIcons!==U.sdf&&_("Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer"),(U.pixelRatio!==t.pixelRatio||0!==l.get("icon-rotate").constantOr(1))&&(t.iconsNeedLinear=!0))}var V=vc(p.horizontal)||p.vertical;t.iconsInText=!!V&&V.iconsInText,(V||N)&&function(t,e,r,n,i,a,o,s,l,c,u){var f=a.textMaxSize.evaluate(e,{});void 0===f&&(f=o);var h,p=t.layers[0].layout,d=p.get("icon-offset").evaluate(e,{},u),m=vc(r.horizontal),g=o/24,v=t.tilePixelRatio*g,y=t.tilePixelRatio*f/24,x=t.tilePixelRatio*s,b=t.tilePixelRatio*p.get("symbol-spacing"),w=p.get("text-padding")*t.tilePixelRatio,T=p.get("icon-padding")*t.tilePixelRatio,k=p.get("text-max-angle")/180*Math.PI,A="map"===p.get("text-rotation-alignment")&&"point"!==p.get("symbol-placement"),M="map"===p.get("icon-rotation-alignment")&&"point"!==p.get("symbol-placement"),S=p.get("symbol-placement"),E=b/2,L=p.get("icon-text-fit");n&&"none"!==L&&(t.allowVerticalPlacement&&r.vertical&&(h=Hl(n,r.vertical,L,p.get("icon-text-fit-padding"),d,g)),m&&(n=Hl(n,m,L,p.get("icon-text-fit-padding"),d,g)));var C=function(s,f){f.x<0||f.x>=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(""),j=0,U=0;void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(M=s.layout.get("text-offset").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get("text-radial-offset").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,g,v,d,V))}if(i){var q=s.layout.get("icon-rotate").evaluate(b,{}),G="none"!==s.layout.get("icon-text-fit"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,g,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;"source"===X.kind?(Z=[128*s.layout.get("icon-size").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for "icon-size" is >= 255. Reduce your "icon-size".'):"composite"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for "icon-size" is >= 255. Reduce your "icon-size".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get("text-rotate").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=gc(t,e,K,a,s,d,b,m,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=gc(t,e,n.vertical,a,s,d,b,m,P,Cl.vertical,["vertical"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,A,l,x,T,M,d,e,a,c,u,o)};if("line"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P<I.length;P+=1)for(var O=I[P],z=tc(O,b,k,r.vertical||m,n,24,y,t.overscaling,8192),D=0,R=z;D<R.length;D+=1){var F=R[D],B=m;B&&yc(t,B.text,E,F)||C(O,F)}else if("line-center"===S)for(var N=0,j=e.geometry;N<j.length;N+=1){var U=j[N];if(U.length>1){var V=$l(U,k,r.vertical||m,n,24,y);V&&C(U,V)}}else if("Polygon"===e.type)for(var H=0,q=hs(e.geometry,0);H<q.length;H+=1){var G=q[H],Y=uc(G,16);C(G[0],new ql(Y.x,Y.y,0))}else if("LineString"===e.type)for(var W=0,X=e.geometry;W<X.length;W+=1){var Z=X[W];C(Z,new ql(Z[0].x,Z[0].y,0))}else if("Point"===e.type)for(var J=0,K=e.geometry;J<K.length;J+=1)for(var Q=K[J],$=0,tt=Q;$<tt.length;$+=1){var et=tt[$];C([et],new ql(et.x,et.y,0))}}(t,a,p,N,n,u,f,h,m,j,o)},T=0,k=t.features;T<k.length;T+=1)w();a&&t.generateCollisionDebugBuffers()},t.perspective=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t},t.pick=function(t,e){for(var r={},n=0;n<e.length;n++){var i=e[n];i in t&&(r[i]=t[i])}return r},t.plugin=hi,t.polygonIntersectsPolygon=Za,t.postMapLoadEvent=it,t.postTurnstileEvent=rt,t.potpack=Ml,t.refProperties=["type","source","source-layer","minzoom","maxzoom","filter","layout"],t.register=Nn,t.registerForPluginStateChange=function(t){return t({pluginStatus:ai,pluginURL:oi}),ci.on("pluginStateChange",t),t},t.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);return t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l,t},t.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t},t.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t},t.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},t.scale$1=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t},t.scale$2=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t},t.setCacheLimits=function(t,e){at=t,ot=e},t.setRTLTextPlugin=function(t,e,r){if(void 0===r&&(r=!1),ai===ti||ai===ei||ai===ri)throw new Error("setRTLTextPlugin cannot be called multiple times.");oi=R.resolveURL(t),ai=ti,ii=e,li(),r||fi()},t.sphericalToCartesian=function(t){var e=t[0],r=t[1],n=t[2];return r+=90,r*=Math.PI/180,n*=Math.PI/180,{x:e*Math.cos(r)*Math.sin(n),y:e*Math.sin(r)*Math.sin(n),z:e*Math.cos(n)}},t.sqrLen=bo,t.styleSpec=Lt,t.sub=yo,t.symbolSize=Xl,t.transformMat3=function(t,e,r){var n=e[0],i=e[1],a=e[2];return t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8],t},t.transformMat4=xo,t.translate=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];return e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]),t},t.triggerPluginCompletionEvent=si,t.uniqueId=h,t.validateCustomStyleLayer=function(t){var e=[],r=t.id;return void 0===r&&e.push({message:"layers."+r+': missing required property "id"'}),void 0===t.render&&e.push({message:"layers."+r+': missing required method "render"'}),t.renderingMode&&"2d"!==t.renderingMode&&"3d"!==t.renderingMode&&e.push({message:"layers."+r+': property "renderingMode" must be either "2d" or "3d"'}),e},t.validateLight=Cn,t.validateStyle=Ln,t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.vectorTile=Ls,t.version="1.10.1",t.warnOnce=_,t.webpSupported=B,t.window=self,t.wrap=c})),n(0,(function(t){function e(t){var r=typeof t;if("number"===r||"boolean"===r||"string"===r||null==t)return JSON.stringify(t);if(Array.isArray(t)){for(var n="[",i=0,a=t;i<a.length;i+=1){n+=e(a[i])+","}return n+"]"}for(var o=Object.keys(t).sort(),s="{",l=0;l<o.length;l++)s+=JSON.stringify(o[l])+":"+e(t[o[l]])+",";return s+"}"}function r(r){for(var n="",i=0,a=t.refProperties;i<a.length;i+=1){n+="/"+e(r[a[i]])}return n}var n=function(t){this.keyCache={},t&&this.replace(t)};n.prototype.replace=function(t){this._layerConfigs={},this._layers={},this.update(t,[])},n.prototype.update=function(e,n){for(var i=this,a=0,o=e;a<o.length;a+=1){var s=o[a];this._layerConfigs[s.id]=s;var l=this._layers[s.id]=t.createStyleLayer(s);l._featureFilter=t.featureFilter(l.filter),this.keyCache[s.id]&&delete this.keyCache[s.id]}for(var c=0,u=n;c<u.length;c+=1){var f=u[c];delete this.keyCache[f],delete this._layerConfigs[f],delete this._layers[f]}this.familiesBySource={};for(var h=0,p=function(t,e){for(var n={},i=0;i<t.length;i++){var a=e&&e[t[i].id]||r(t[i]);e&&(e[t[i].id]=a);var o=n[a];o||(o=n[a]=[]),o.push(t[i])}var s=[];for(var l in n)s.push(n[l]);return s}(t.values(this._layerConfigs),this.keyCache);h<p.length;h+=1){var d=p[h].map((function(t){return i._layers[t.id]})),m=d[0];if("none"!==m.visibility){var g=m.source||"",v=this.familiesBySource[g];v||(v=this.familiesBySource[g]={});var y=m.sourceLayer||"_geojsonTileLayer",x=v[y];x||(x=v[y]=[]),x.push(d)}}};var i=function(e){var r={},n=[];for(var i in e){var a=e[i],o=r[i]={};for(var s in a){var l=a[+s];if(l&&0!==l.bitmap.width&&0!==l.bitmap.height){var c={x:0,y:0,w:l.bitmap.width+2,h:l.bitmap.height+2};n.push(c),o[s]={rect:c,metrics:l.metrics}}}}var u=t.potpack(n),f=u.w,h=u.h,p=new t.AlphaImage({width:f||1,height:h||1});for(var d in e){var m=e[d];for(var g in m){var v=m[+g];if(v&&0!==v.bitmap.width&&0!==v.bitmap.height){var y=r[d][g].rect;t.AlphaImage.copy(v.bitmap,p,{x:0,y:0},{x:y.x+1,y:y.y+1},v.bitmap)}}}this.image=p,this.positions=r};t.register("GlyphAtlas",i);var a=function(e){this.tileID=new t.OverscaledTileID(e.tileID.overscaledZ,e.tileID.wrap,e.tileID.canonical.z,e.tileID.canonical.x,e.tileID.canonical.y),this.uid=e.uid,this.zoom=e.zoom,this.pixelRatio=e.pixelRatio,this.tileSize=e.tileSize,this.source=e.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=e.showCollisionBoxes,this.collectResourceTiming=!!e.collectResourceTiming,this.returnDependencies=!!e.returnDependencies,this.promoteId=e.promoteId};function o(e,r,n){for(var i=new t.EvaluationParameters(r),a=0,o=e;a<o.length;a+=1){o[a].recalculate(i,n)}}function s(e,r){var n=t.getArrayBuffer(e.request,(function(e,n,i,a){e?r(e):n&&r(null,{vectorTile:new t.vectorTile.VectorTile(new t.pbf(n)),rawData:n,cacheControl:i,expires:a})}));return function(){n.cancel(),r()}}a.prototype.parse=function(e,r,n,a,s){var l=this;this.status="parsing",this.data=e,this.collisionBoxArray=new t.CollisionBoxArray;var c=new t.DictionaryCoder(Object.keys(e.layers).sort()),u=new t.FeatureIndex(this.tileID,this.promoteId);u.bucketLayerIDs=[];var f,h,p,d,m={},g={featureIndex:u,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:n},v=r.familiesBySource[this.source];for(var y in v){var x=e.layers[y];if(x){1===x.version&&t.warnOnce('Vector tile source "'+this.source+'" layer "'+y+'" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var b=c.encode(y),_=[],w=0;w<x.length;w++){var T=x.feature(w),k=u.getId(T,y);_.push({feature:T,id:k,index:w,sourceLayerIndex:b})}for(var A=0,M=v[y];A<M.length;A+=1){var S=M[A],E=S[0];if(!(E.minzoom&&this.zoom<Math.floor(E.minzoom)))if(!(E.maxzoom&&this.zoom>=E.maxzoom))if("none"!==E.visibility)o(S,this.zoom,n),(m[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send("getGlyphs",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send("getImages",{icons:C,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(g.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in m){var l=m[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(m).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if("GeometryCollection"===i)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if("Feature"===i)t(e.geometry,r);else if("Polygon"===i)h(e.coordinates,r);else if("MultiPolygon"===i)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e};function h(t,e){if(0!==t.length){p(t[0],e);for(var r=1;r<t.length;r++)p(t[r],!e)}}function p(t,e){for(var r=0,n=0,i=t.length,a=i-1;n<i;a=n++)r+=(t[n][0]-t[a][0])*(t[a][1]+t[n][1]);r>=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,m=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};m.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r<n.length;r+=1){var i=n[r];e.push([new t.Point$1(i[0],i[1])])}return e}for(var a=[],o=0,s=this._feature.geometry;o<s.length;o+=1){for(var l=[],c=0,u=s[o];c<u.length;c+=1){var f=u[c];l.push(new t.Point$1(f[0],f[1]))}a.push(l)}return a},m.prototype.toGeoJSON=function(t,e,r){return d.call(this,t,e,r)};var g=function(e){this.layers={_geojsonTileLayer:this},this.name="_geojsonTileLayer",this.extent=t.EXTENT,this.length=e.length,this._features=e};g.prototype.feature=function(t){return new m(this._features[t])};var v=t.vectorTile.VectorTileFeature,y=x;function x(t,e){this.options=e||{},this.features=t,this.length=t.length}function b(t,e){this.id="number"==typeof t.id?t.id:void 0,this.type=t.type,this.rawGeometry=1===t.type?[t.geometry]:t.geometry,this.properties=t.tags,this.extent=e||4096}x.prototype.feature=function(t){return new b(this.features[t],this.options.extent)},b.prototype.loadGeometry=function(){var e=this.rawGeometry;this.geometry=[];for(var r=0;r<e.length;r++){for(var n=e[r],i=[],a=0;a<n.length;a++)i.push(new t.Point$1(n[a][0],n[a][1]));this.geometry.push(i)}return this.geometry},b.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},b.prototype.toGeoJSON=v.prototype.toGeoJSON;var _=A,w=A,T=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new y(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return A({layers:r})},k=y;function A(e){var r=new t.pbf;return function(t,e){for(var r in t.layers)e.writeMessage(3,M,t.layers[r])}(e,r),r.finish()}function M(t,e){var r;e.writeVarintField(15,t.version||1),e.writeStringField(1,t.name||""),e.writeVarintField(5,t.extent||4096);var n={keys:[],values:[],keycache:{},valuecache:{}};for(r=0;r<t.length;r++)n.feature=t.feature(r),e.writeMessage(2,S,n);var i=n.keys;for(r=0;r<i.length;r++)e.writeStringField(3,i[r]);var a=n.values;for(r=0;r<a.length;r++)e.writeMessage(4,I,a[r])}function S(t,e){var r=t.feature;void 0!==r.id&&e.writeVarintField(1,r.id),e.writeMessage(2,E,t),e.writeVarintField(3,r.type),e.writeMessage(4,P,r)}function E(t,e){var r=t.feature,n=t.keys,i=t.values,a=t.keycache,o=t.valuecache;for(var s in r.properties){var l=a[s];void 0===l&&(n.push(s),l=n.length-1,a[s]=l),e.writeVarint(l);var c=r.properties[s],u=typeof c;"string"!==u&&"boolean"!==u&&"number"!==u&&(c=JSON.stringify(c));var f=u+":"+c,h=o[f];void 0===h&&(i.push(c),h=i.length-1,o[f]=h),e.writeVarint(h)}}function L(t,e){return(e<<3)+(7&t)}function C(t){return t<<1^t>>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s<o;s++){var l=r[s],c=1;1===n&&(c=l.length),e.writeVarint(L(1,c));for(var u=3===n?l.length-1:l.length,f=0;f<u;f++){1===f&&1!==n&&e.writeVarint(L(2,u-1));var h=l[f].x-i,p=l[f].y-a;e.writeVarint(C(h)),e.writeVarint(C(p)),i+=h,a+=p}3===n&&e.writeVarint(L(7,1))}}function I(t,e){var r=typeof t;"string"===r?e.writeStringField(1,t):"boolean"===r?e.writeBooleanField(7,t):"number"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}function O(t,e,r,n,i,a){if(!(i-n<=r)){var o=n+i>>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var d=r[2*n+o],m=i,g=a;for(z(e,r,i,n),r[2*a+o]>d&&z(e,r,i,a);m<g;){for(z(e,r,m,g),m++,g--;r[2*m+o]<d;)m++;for(;r[2*g+o]>d;)g--}r[2*i+o]===d?z(e,r,i,g):(g++,z(e,r,g,a)),g<=n&&(i=g+1),n<=g&&(a=g-1)}}(t,e,o,n,i,a%2),O(t,e,r,n,o-1,a+1),O(t,e,r,o+1,i,a+1)}}function z(t,e,r,n){D(t,r,n),D(e,2*r,2*n),D(e,2*r+1,2*n+1)}function D(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function R(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var F=function(t){return t[0]},B=function(t){return t[1]},N=function(t,e,r,n,i){void 0===e&&(e=F),void 0===r&&(r=B),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l<t.length;l++)o[l]=l,s[2*l]=e(t[l]),s[2*l+1]=r(t[l]);O(o,s,n,0,o.length-1,0)};N.prototype.range=function(t,e,r,n){return function(t,e,r,n,i,a,o){for(var s,l,c=[0,t.length-1,0],u=[];c.length;){var f=c.pop(),h=c.pop(),p=c.pop();if(h-p<=o)for(var d=p;d<=h;d++)s=e[2*d],l=e[2*d+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var m=Math.floor((p+h)/2);s=e[2*m],l=e[2*m+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[m]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(c.push(p),c.push(m-1),c.push(g)),(0===f?i>=s:a>=l)&&(c.push(m+1),c.push(h),c.push(g))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],m=e[2*p+1];R(d,m,r,n)<=l&&s.push(t[p]);var g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:"Feature",id:t.id,properties:G(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)$(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n<e.length;n++)$(t,e[n]);else if("MultiPolygon"===r)for(n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)$(t,e[n][i])}(i),i}function $(t,e){for(var r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),"Point"===a)et(i,s);else if("MultiPoint"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if("LineString"===a)rt(i,s,o,!1);else if("MultiLineString"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,"LineString",s,e.properties));return}nt(i,s,o,!1)}else if("Polygon"===a)nt(i,s,o,!0);else{if("MultiPolygon"!==a){if("GeometryCollection"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error("Input data is not a valid GeoJSON object.")}for(c=0;c<i.length;c++){var u=[];nt(i[c],u,o,!0),s.push(u)}}t.push(Q(l,a,s,e.properties))}}function et(t,e){e.push(it(t[0])),e.push(at(t[1])),e.push(0)}function rt(t,e,r,n){for(var i,a,o=0,s=0;s<t.length;s++){var l=it(t[s][0]),c=at(t[s][1]);e.push(l),e.push(c),e.push(0),s>0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;p<n;p+=3){var d=K(e[p],e[p+1],c,u,f,h);if(d>o)a=p,o=d;else if(d===o){var m=Math.abs(p-s);m<l&&(a=p,l=m)}}o>i&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i<t.length;i++){var a=[];rt(t[i],a,r,n),e.push(a)}}function it(t){return t/360+.5}function at(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o<n)return t;if(o<r||a>=n)return null;for(var l=[],c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if("Point"===h||"MultiPoint"===h)st(f,m,r,n,i);else if("LineString"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===h)ut(f,m,r,n,i,!1);else if("Polygon"===h)ut(f,m,r,n,i,!0);else if("MultiPolygon"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&"LineString"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}"LineString"!==h&&"MultiLineString"!==h||(1===m.length?(h="LineString",m=m[0]):h="MultiLineString"),"Point"!==h&&"MultiPoint"!==h||(h=3===m.length?"Point":"MultiPoint"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;h<t.length-3;h+=3){var p=t[h],d=t[h+1],m=t[h+2],g=t[h+3],v=t[h+4],y=0===i?p:d,x=0===i?g:v,b=!1;o&&(s=Math.sqrt(Math.pow(p-g,2)+Math.pow(d-v,2))),y<r?x>r&&(l=u(c,p,d,g,v,r),o&&(c.start=f+s*l)):y>n?x<n&&(l=u(c,p,d,g,v,n),o&&(c.start=f+s*l)):ft(c,p,d,m),x<r&&y>=r&&(l=u(c,p,d,g,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,g,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],m=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,m),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;o<t.length;o++)lt(t[o],e,r,n,i,a,!1)}function ft(t,e,r,n){t.push(e),t.push(r),t.push(n)}function ht(t,e,r,n,i,a){var o=(a-e)/(n-e);return t.push(a),t.push(r+(i-r)*o),t.push(1),o}function pt(t,e,r,n,i,a){var o=(a-r)/(i-r);return t.push(e+(n-e)*o),t.push(a),t.push(1),o}function dt(t,e){for(var r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=mt(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)bt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else"Feature"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time("creation"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time("clipping");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,f),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var At=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return At.prototype.setReferrer=function(t,e){this.referrer=e},At.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},At.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},At.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},At.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},At.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},At.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},At.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},At.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},At.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},At.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},At.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},At.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},At.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},At.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},At.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},At.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},At.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new At(t.window)),At})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return"undefined"==typeof window||"undefined"==typeof document?"not a browser":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?"JSON"in window&&"parse"in JSON&&"stringify"in JSON?function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}e&&e.terminate();return URL.revokeObjectURL(n),t}()?"Uint8ClampedArray"in window?ArrayBuffer.isView?function(){var t=document.createElement("canvas");t.width=t.height=1;var e=t.getContext("2d");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?function(t){void 0===n[t]&&(n[t]=function(t){var r=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);if(!n||r.isContextLost())return!1;return r.shaderSource(n,"void main() {}"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS)}(t));return n[t]}(t&&t.failIfMajorPerformanceCaveat)?void 0:"insufficient WebGL support":"insufficient Canvas/getImageData support":"insufficient ArrayBuffer support":"insufficient Uint8ClampedArray support":"insufficient worker support":"insufficient JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf("MAC")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchX" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchY" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "content" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];f[m.featureIndex]||(f[m.featureIndex]=!0,h.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var q=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(H),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(H),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(H),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(H),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.LESS},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)},e}(H),rt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}},e}(H),nt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),it=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),at=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(H),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(H),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(H),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(H),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt="mapboxgl_preloaded_worker_pool",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get("text-optional"),v=s.get("icon-optional"),y=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get("icon-ignore-placement"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),c=a.get("text-variable-anchor"),u="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},Ue=t.pick(Ut,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ve=t.pick(Ut,["setCenter","setZoom","setBearing","setPitch"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,"sources."+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];"symbol"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ye=yr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),We=yr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Xe=yr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Ze=yr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Je=yr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=yr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),Qe=yr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),$e=yr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),tr=yr("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),er=yr("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),rr=yr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),nr=yr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ir=yr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ar=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),or=yr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),sr=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),lr=yr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),cr=yr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),ur=yr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),fr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),hr=yr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),pr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),dr=yr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=yr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),gr=yr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),vr=yr("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function yr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Ye.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get("raster-hue-rotate"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g="map"===l,v="map"===c,y=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!v&&!y,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V="composite"===I.kind||"camera"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X="none"!==n.layout.get("icon-text-fit")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c="fillOutlinePattern"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),"$debug",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+" "+p+"kb"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),"$debug",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c="map"===a,u="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b="none"!==n.layout.get("icon-text-fit")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Kr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),f=u.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":c?"lineSDF":h?"lineGradient":"line",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):"translucent"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,"opaque"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o="3d"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass="offscreen";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u="";if(u+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||c)&&(u+="/"+Math.round(10*l)/10),c&&(u+="/"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+u):t})).filter((function(t){return t}));return h||p.push(f+"="+u),"#"+p.join("&")}return"#"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if("wheel"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add("boxZoom",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new fi;this._add("tapDragZoom",o);var s=e.touchPitch=new ii;this._add("touchPitch",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",c,["mouseRotate"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add("mousePan",u),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new li(e,this);this._add("scrollZoom",d,["mousePan"]);var m=e.keyboard=new oi;this._add("keyboard",m),this._add("blockableMapEvent",new jn(e));for(var g=0,v=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+"end"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c="zoom"in e?+e.zoom:a,u="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};bi.prototype.getDefaultPosition=function(){return"bottom-right"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},bi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var _i=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return"bottom-left"},_i.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error("maxPitch must be less than or equal to 60");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ai))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var c=r.createNS("http://www.w3.org/2000/svg","g");c.setAttributeNS(null,"transform","translate(3.0, 29.0)"),c.setAttributeNS(null,"fill","#000000");for(var u=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<f.length;u+=1){var h=f[u],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),c.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var m=r.createNS("http://www.w3.org/2000/svg","path");m.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(m);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(6.0, 7.0)"),y.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Ri="denied"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Ni--,ji=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:"metric"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll(["_onMove","setUnit"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString("ScaleControl.Miles"));else Gi(e,n,l,t._getUIString("ScaleControl.Feet"))}else if(r&&"nautical"===r.unit){Gi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Gi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(""+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Hi.prototype.getDefaultPosition=function(){return"bottom-left"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+" translate("+f.x+"px,"+f.y+"px)"),Di(this._container,o,"popup")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return Zi})),r}))},{}],235:[function(t,e,r){"use strict";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],236:[function(t,e,r){"use strict";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return"altKey"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),"shiftKey"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),"ctrlKey"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),"metaKey"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);"buttons"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener("mousemove",p),t.addEventListener("mousedown",d),t.addEventListener("mouseup",m),t.addEventListener("mouseleave",u),t.addEventListener("mouseenter",u),t.addEventListener("mouseout",u),t.addEventListener("mouseover",u),t.addEventListener("blur",f),t.addEventListener("keyup",h),t.addEventListener("keydown",h),t.addEventListener("keypress",h),t!==window&&(window.addEventListener("blur",f),window.addEventListener("keyup",h),window.addEventListener("keydown",h),window.addEventListener("keypress",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener("mousemove",p),t.removeEventListener("mousedown",d),t.removeEventListener("mouseup",m),t.removeEventListener("mouseleave",u),t.removeEventListener("mouseenter",u),t.removeEventListener("mouseout",u),t.removeEventListener("mouseover",u),t.removeEventListener("blur",f),t.removeEventListener("keyup",h),t.removeEventListener("keydown",h),t.removeEventListener("keypress",h),t!==window&&(window.removeEventListener("blur",f),window.removeEventListener("keyup",h),window.removeEventListener("keydown",h),window.removeEventListener("keypress",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t("mouse-event")},{"mouse-event":238}],237:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],238:[function(t,e,r){"use strict";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if("object"==typeof t){if("buttons"in t)return t.buttons;if("which"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if("button"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if("object"==typeof t){if("offsetX"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if("object"==typeof t){if("offsetY"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],239:[function(t,e,r){"use strict";var n=t("to-px");e.exports=function(t,e,r){"function"==typeof t&&(r=!!e,e=t,t=window);var i=n("ex",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener("wheel",a),a}},{"to-px":309}],240:[function(t,e,r){(function(t,r){(function(){
-/*! Native Promise Only
-    v0.8.1 (c) Kyle Simpson
-    MIT License: http://getify.mit-license.org
-*/
-!function(t,r,n){r[t]=r[t]||n(),void 0!==e&&e.exports&&(e.exports=r[t])}("Promise",void 0!==t?t:this,(function(){"use strict";var t,e,n,i=Object.prototype.toString,a=void 0!==r?function(t){return r(t)}:setTimeout;try{Object.defineProperty({},"x",{}),t=function(t,e,r,n){return Object.defineProperty(t,e,{value:r,writable:!0,configurable:!1!==n})}}catch(e){t=function(t,e,r){return t[e]=r,t}}function o(t,r){n.add(t,r),e||(e=a(n.drain))}function s(t){var e,r=typeof t;return null==t||"object"!=r&&"function"!=r||(e=t.then),"function"==typeof e&&e}function l(){for(var t=0;t<this.chain.length;t++)c(this,1===this.state?this.chain[t].success:this.chain[t].failure,this.chain[t]);this.chain.length=0}function c(t,e,r){var n,i;try{!1===e?r.reject(t.msg):(n=!0===e?t.msg:e.call(void 0,t.msg))===r.promise?r.reject(TypeError("Promise-chain cycle")):(i=s(n))?i.call(n,r.resolve,r.reject):r.resolve(n)}catch(t){r.reject(t)}}function u(t){var e,r=this;if(!r.triggered){r.triggered=!0,r.def&&(r=r.def);try{(e=s(t))?o((function(){var n=new p(r);try{e.call(t,(function(){u.apply(n,arguments)}),(function(){f.apply(n,arguments)}))}catch(t){f.call(n,t)}})):(r.msg=t,r.state=1,r.chain.length>0&&o(l,r))}catch(t){f.call(new p(r),t)}}}function f(t){var e=this;e.triggered||(e.triggered=!0,e.def&&(e=e.def),e.msg=t,e.state=2,e.chain.length>0&&o(l,e))}function h(t,e,r,n){for(var i=0;i<e.length;i++)!function(i){t.resolve(e[i]).then((function(t){r(i,t)}),n)}(i)}function p(t){this.def=t,this.triggered=!1}function d(t){this.promise=t,this.state=0,this.triggered=!1,this.chain=[],this.msg=void 0}function m(t){if("function"!=typeof t)throw TypeError("Not a function");if(0!==this.__NPO__)throw TypeError("Not a promise");this.__NPO__=1;var e=new d(this);this.then=function(t,r){var n={success:"function"!=typeof t||t,failure:"function"==typeof r&&r};return n.promise=new this.constructor((function(t,e){if("function"!=typeof t||"function"!=typeof e)throw TypeError("Not a function");n.resolve=t,n.reject=e})),e.chain.push(n),0!==e.state&&o(l,e),n.promise},this.catch=function(t){return this.then(void 0,t)};try{t.call(void 0,(function(t){u.call(e,t)}),(function(t){f.call(e,t)}))}catch(t){f.call(e,t)}}n=function(){var t,r,n;function i(t,e){this.fn=t,this.self=e,this.next=void 0}return{add:function(e,a){n=new i(e,a),r?r.next=n:t=n,r=n,n=void 0},drain:function(){var n=t;for(t=r=e=void 0;n;)n.fn.call(n.self),n=n.next}}}();var g=t({},"constructor",m,!1);return m.prototype=g,t(g,"__NPO__",0,!1),t(m,"resolve",(function(t){return t&&"object"==typeof t&&1===t.__NPO__?t:new this((function(e,r){if("function"!=typeof e||"function"!=typeof r)throw TypeError("Not a function");e(t)}))})),t(m,"reject",(function(t){return new this((function(e,r){if("function"!=typeof e||"function"!=typeof r)throw TypeError("Not a function");r(t)}))})),t(m,"all",(function(t){var e=this;return"[object Array]"!=i.call(t)?e.reject(TypeError("Not an array")):0===t.length?e.resolve([]):new e((function(r,n){if("function"!=typeof r||"function"!=typeof n)throw TypeError("Not a function");var i=t.length,a=Array(i),o=0;h(e,t,(function(t,e){a[t]=e,++o===i&&r(a)}),n)}))})),t(m,"race",(function(t){var e=this;return"[object Array]"!=i.call(t)?e.reject(TypeError("Not an array")):new e((function(r,n){if("function"!=typeof r||"function"!=typeof n)throw TypeError("Not a function");h(e,t,(function(t,e){r(e)}),n)}))})),m}))}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{},t("timers").setImmediate)},{timers:306}],241:[function(t,e,r){var n=Math.PI,i=c(120);function a(t,e,r,n){return["C",t,e,r,n,r,n]}function o(t,e,r,n,i,a){return["C",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}function s(t,e,r,a,o,c,u,f,h,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var m=(t-(f=(d=l(f,h,-o)).x))/2,g=(e-(h=d.y))/2,v=m*m/(r*r)+g*g/(a*a);v>1&&(r*=v=Math.sqrt(v),a*=v);var y=r*r,x=a*a,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*g*g-x*m*m)/(y*g*g+x*m*m)));b==1/0&&(b=1);var _=b*r*g/a+(t+f)/2,w=b*-a*m/r+(e+h)/2,T=Math.asin(((e-w)/a).toFixed(9)),k=Math.asin(((h-w)/a).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=f<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>i){var A=k,M=f,S=h;k=T+i*(u&&k>T?1:-1);var E=s(f=_+r*Math.cos(k),h=w+a*Math.sin(k),r,a,o,0,u,M,S,[k,A,_,w])}var L=Math.tan((k-T)/4),C=4/3*r*L,P=4/3*a*L,I=[2*t-(t+C*Math.sin(T)),2*e-(e-P*Math.cos(T)),f+C*Math.sin(k),h-P*Math.cos(k),f,h];if(p)return I;E&&(I=I.concat(E));for(var O=0;O<I.length;){var z=l(I[O],I[O+1],o);I[O++]=z.x,I[O++]=z.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,i=0,l=0,u=0,f=null,h=null,p=0,d=0,m=0,g=t.length;m<g;m++){var v=t[m],y=v[0];switch(y){case"M":l=v[1],u=v[2];break;case"A":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift("C"),v.length>7&&(r.push(v.splice(0,7)),v.unshift("C"));break;case"S":var x=p,b=d;"C"!=e&&"S"!=e||(x+=x-n,b+=b-i),v=["C",x,b,v[1],v[2],v[3],v[4]];break;case"T":"Q"==e||"T"==e?(f=2*p-f,h=2*d-h):(f=p,h=d),v=o(p,d,f,h,v[1],v[2]);break;case"Q":f=v[1],h=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case"L":v=a(p,d,v[1],v[2]);break;case"H":v=a(p,d,v[1],d);break;case"V":v=a(p,d,p,v[1]);break;case"Z":v=a(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],i=v[v.length-3]):(n=p,i=d),r.push(v)}return r}},{}],242:[function(t,e,r){
-/*
-object-assign
-(c) Sindre Sorhus
-@license MIT
-*/
-"use strict";var n=Object.getOwnPropertySymbols,i=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError("Object.assign cannot be called with null or undefined");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String("abc");if(t[5]="de","5"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e["_"+String.fromCharCode(r)]=r;if("0123456789"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(""))return!1;var n={};return"abcdefghijklmnopqrst".split("").forEach((function(t){n[t]=t})),"abcdefghijklmnopqrst"===Object.keys(Object.assign({},n)).join("")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))i.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var f=0;f<s.length;f++)a.call(r,s[f])&&(l[s[f]]=r[s[f]])}}return l}},{}],243:[function(t,e,r){"use strict";function n(t,e){if("string"!=typeof t)return[t];var r=[t];"string"==typeof e||Array.isArray(e)?e={brackets:e}:e||(e={});var n=e.brackets?Array.isArray(e.brackets)?e.brackets:[e.brackets]:["{}","[]","()"],i=e.escape||"___",a=!!e.flat;n.forEach((function(t){var e=new RegExp(["\\",t[0],"[^\\",t[0],"\\",t[1],"]*\\",t[1]].join("")),n=[];function a(e,a,o){var s=r.push(e.slice(t[0].length,-t[1].length))-1;return n.push(s),i+s+i}r.forEach((function(t,n){for(var i,o=0;t!=i;)if(i=t,t=t.replace(e,a),o++>1e4)throw Error("References have circular dependency. Please, check them.");r[n]=t})),n=n.reverse(),r=r.map((function(e){return n.forEach((function(r){e=e.replace(new RegExp("(\\"+i+r+"\\"+i+")","g"),t[0]+"$1"+t[1])})),e}))}));var o=new RegExp("\\"+i+"([0-9]+)\\"+i);return a?r:function t(e,r,n){for(var i,a=[],s=0;i=o.exec(e);){if(s++>1e4)throw Error("Circular references in parenthesis");a.push(e.slice(0,i.index)),a.push(t(r[i[1]],r)),e=e.slice(i.index+i[0].length)}return a.push(e),a}(r[0],r)}function i(t,e){if(e&&e.flat){var r,n=e&&e.escape||"___",i=t[0];if(!i)return"";for(var a=new RegExp("\\"+n+"([0-9]+)\\"+n),o=0;i!=r;){if(o++>1e4)throw Error("Circular references in "+t);r=i,i=i.replace(a,s)}return i}return t.reduce((function t(e,r){return Array.isArray(r)&&(r=r.reduce(t,"")),e+r}),"");function s(e,r){if(null==t[r])throw Error("Reference "+r+"is undefined");return t[r]}}function a(t,e){return Array.isArray(t)?i(t,e):n(t,e)}a.parse=n,a.stringify=i,e.exports=a},{}],244:[function(t,e,r){"use strict";var n=t("pick-by-alias");e.exports=function(t){var e;arguments.length>1&&(t=arguments);"string"==typeof t?t=t.split(/\s/).map(parseFloat):"number"==typeof t&&(t=[t]);t.length&&"number"==typeof t[0]?e=1===t.length?{width:t[0],height:t[0],x:0,y:0}:2===t.length?{width:t[0],height:t[1],x:0,y:0}:{x:t[0],y:t[1],width:t[2]-t[0]||0,height:t[3]-t[1]||0}:t&&(t=n(t,{left:"x l left Left",top:"y t top Top",width:"w width W Width",height:"h height W Width",bottom:"b bottom Bottom",right:"r right Right"}),e={x:t.left||0,y:t.top||0},null==t.width?t.right?e.width=t.right-e.x:e.width=0:e.width=t.width,null==t.height?t.bottom?e.height=t.bottom-e.y:e.height=0:e.height=t.height);return e}},{"pick-by-alias":248}],245:[function(t,e,r){e.exports=function(t){var e=[];return t.replace(i,(function(t,r,i){var o=r.toLowerCase();for(i=function(t){var e=t.match(a);return e?e.map(Number):[]}(i),"m"==o&&i.length>2&&(e.push([r].concat(i.splice(0,2))),o="l",r="m"==r?"l":"L");;){if(i.length==n[o])return i.unshift(r),e.push(i);if(i.length<n[o])throw new Error("malformed path data");e.push([r].concat(i.splice(0,n[o])))}})),e};var n={a:7,c:6,h:1,l:2,m:2,q:4,s:4,t:2,v:1,z:0},i=/([astvzqmhlc])([^astvzqmhlc]*)/gi;var a=/-?[0-9]*\.?[0-9]+(?:e[-+]?\d+)?/gi},{}],246:[function(t,e,r){e.exports=function(t,e){e||(e=[0,""]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\d.\-\+]*\s*(.*)/)[1]||"",e}},{}],247:[function(t,e,r){(function(t){(function(){(function(){var r,n,i,a,o,s;"undefined"!=typeof performance&&null!==performance&&performance.now?e.exports=function(){return performance.now()}:null!=t&&t.hrtime?(e.exports=function(){return(r()-o)/1e6},n=t.hrtime,a=(r=function(){var t;return 1e9*(t=n())[0]+t[1]})(),s=1e9*t.uptime(),o=a-s):Date.now?(e.exports=function(){return Date.now()-i},i=Date.now()):(e.exports=function(){return(new Date).getTime()-i},i=(new Date).getTime())}).call(this)}).call(this)}).call(this,t("_process"))},{_process:272}],248:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n,a,o={};if("string"==typeof e&&(e=i(e)),Array.isArray(e)){var s={};for(a=0;a<e.length;a++)s[e[a]]=!0;e=s}for(n in e)e[n]=i(e[n]);var l={};for(n in e){var c=e[n];if(Array.isArray(c))for(a=0;a<c.length;a++){var u=c[a];if(r&&(l[u]=!0),u in t){if(o[n]=t[u],r)for(var f=a;f<c.length;f++)l[c[f]]=!0;break}}else n in t&&(e[n]&&(o[n]=t[n]),r&&(l[n]=!0))}if(r)for(n in t)l[n]||(o[n]=t[n]);return o};var n={};function i(t){return n[t]?n[t]:("string"==typeof t&&(t=n[t]=t.split(/\s*,\s*|\s+/)),t)}},{}],249:[function(t,e,r){
-/*
- * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc
- * @license MIT
- * @preserve Project Home: https://github.com/voidqk/polybooljs
- */
-var n,i=t("./lib/build-log"),a=t("./lib/epsilon"),o=t("./lib/intersecter"),s=t("./lib/segment-chainer"),l=t("./lib/segment-selector"),c=t("./lib/geojson"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,f,u).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,u),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,u),inverted:t.inverted1&&t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,u),inverted:t.inverted1&&!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,u),inverted:!t.inverted1&&t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,u),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,f,u),inverted:t.inverted}},polygonFromGeoJSON:function(t){return c.toPolygon(n,t)},polygonToGeoJSON:function(t){return c.fromPolygon(n,f,t)},union:function(t,e){return h(t,e,n.selectUnion)},intersect:function(t,e){return h(t,e,n.selectIntersect)},difference:function(t,e){return h(t,e,n.selectDifference)},differenceRev:function(t,e){return h(t,e,n.selectDifferenceRev)},xor:function(t,e){return h(t,e,n.selectXor)}},"object"==typeof window&&(window.PolyBool=n),e.exports=n},{"./lib/build-log":250,"./lib/epsilon":251,"./lib/geojson":252,"./lib/intersecter":253,"./lib/segment-chainer":255,"./lib/segment-selector":256}],250:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n("check",{seg1:t,seg2:e})},segmentChop:function(t,e){return n("div_seg",{seg:t,pt:e}),n("chop",{seg:t,pt:e})},statusRemove:function(t){return n("pop_seg",{seg:t})},segmentUpdate:function(t){return n("seg_update",{seg:t})},segmentNew:function(t,e){return n("new_seg",{seg:t,primary:e})},segmentRemove:function(t){return n("rem_seg",{seg:t})},tempStatus:function(t,e,r){return n("temp_status",{seg:t,above:e,below:r})},rewind:function(t){return n("rewind",{seg:t})},status:function(t,e,r){return n("status",{seg:t,above:e,below:r})},vert:function(e){return e===r?t:(r=e,n("vert",{x:e}))},log:function(t){return"string"!=typeof t&&(t=JSON.stringify(t,!1,"  ")),n("log",{txt:t})},reset:function(){return n("reset")},selected:function(t){return n("selected",{segs:t})},chainStart:function(t){return n("chain_start",{seg:t})},chainRemoveHead:function(t,e){return n("chain_rem_head",{index:t,pt:e})},chainRemoveTail:function(t,e){return n("chain_rem_tail",{index:t,pt:e})},chainNew:function(t,e){return n("chain_new",{pt1:t,pt2:e})},chainMatch:function(t){return n("chain_match",{index:t})},chainClose:function(t){return n("chain_close",{index:t})},chainAddHead:function(t,e){return n("chain_add_head",{index:t,pt:e})},chainAddTail:function(t,e){return n("chain_add_tail",{index:t,pt:e})},chainConnect:function(t,e){return n("chain_con",{index1:t,index2:e})},chainReverse:function(t){return n("chain_rev",{index:t})},chainJoin:function(t,e){return n("chain_join",{index1:t,index2:e})},done:function(){return n("done")}}}},{}],251:[function(t,e,r){e.exports=function(t){"number"!=typeof t&&(t=1e-10);var e={epsilon:function(e){return"number"==typeof e&&(t=e),t},pointAboveOrOnLine:function(e,r,n){var i=r[0],a=r[1],o=n[0],s=n[1],l=e[0];return(o-i)*(e[1]-a)-(s-a)*(l-i)>=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l<t)&&!(l-(a*a+s*s)>-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])<t},pointsSameY:function(e,r){return Math.abs(e[1]-r[1])<t},pointsSame:function(t,r){return e.pointsSameX(t,r)&&e.pointsSameY(t,r)},pointsCompare:function(t,r){return e.pointsSameX(t,r)?e.pointsSameY(t,r)?0:t[1]<r[1]?-1:1:t[0]<r[0]?-1:1},pointsCollinear:function(e,r,n){var i=e[0]-r[0],a=e[1]-r[1],o=r[0]-n[0],s=r[1]-n[1];return Math.abs(i*s-o*a)<t},linesIntersect:function(e,r,n,i){var a=r[0]-e[0],o=r[1]-e[1],s=i[0]-n[0],l=i[1]-n[1],c=a*l-o*s;if(Math.abs(c)<t)return!1;var u=e[0]-n[0],f=e[1]-n[1],h=(s*f-l*u)/c,p=(a*f-o*u)/c,d={alongA:0,alongB:0,pt:[e[0]+h*a,e[1]+h*o]};return d.alongA=h<=-t?-2:h<t?-1:h-1<=-t?0:h-1<t?1:2,d.alongB=p<=-t?-2:p<t?-1:p-1<=-t?0:p-1<t?1:2,d},pointInsideRegion:function(e,r){for(var n=e[0],i=e[1],a=r[r.length-1][0],o=r[r.length-1][1],s=!1,l=0;l<r.length;l++){var c=r[l][0],u=r[l][1];u-i>t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],252:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i<e.length;i++)n=t.selectDifference(t.combine(n,r(e[i])));return n}if("Polygon"===e.type)return t.polygon(r(e.coordinates));if("MultiPolygon"===e.type){for(var n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error("PolyBool: Cannot convert GeoJSON object to PolyBool polygon")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++){if(n(e,(s=t.children[r]).region))return void o(s,e)}var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:"Polygon",coordinates:[]}:1==u.length?{type:"Polygon",coordinates:u[0]}:{type:"MultiPolygon",coordinates:u}}};e.exports=n},{}],253:[function(t,e,r){var n=t("./linked-list");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{"./linked-list":254}],254:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],255:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],256:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],257:[function(t,e,r){"use strict";var n=t("stream").Transform,i=t("stream-parser");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||"",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&"hex"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:280,"stream-parser":295}],258:[function(t,e,r){"use strict";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw n("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n("unexpected EOF","EBADDATA");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],259:[function(t,e,r){"use strict";var n=t("./common").readUInt16BE,i=t("./common").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),c="",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&u(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return"avif"===e||"avis"===e||"avio"===e?{type:"avif",mime:"image/avif"}:"heic"===e||"heix"===e?{type:"heic",mime:"image/heic"}:"hevc"===e||"hevx"===e?{type:"heic",mime:"image/heic-sequence"}:r.avif||r.avis?{type:"avif",mime:"image/avif"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:"heif",mime:"image/heif-sequence"}:{type:"heif",mime:"image/heif"}:{type:"avif",mime:"image/avif"}}},{"./common":257}],260:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=t("../miaf_utils"),s=t("../exif_utils"),l=n("ftyp");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,"mdat"===u.boxtype)return;if("meta"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:"px",hUnits:"px"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),m=s.get_orientation(d);m>0&&(h.orientation=m)}return h}}}}}}},{"../common":257,"../exif_utils":258,"../miaf_utils":259}],261:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("BM");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:"bmp",mime:"image/bmp",wUnits:"px",hUnits:"px"}}},{"../common":257}],262:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("GIF87a"),s=n("GIF89a");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:"gif",mime:"image/gif",wUnits:"px",hUnits:"px"}}},{"../common":257}],263:[function(t,e,r){"use strict";var n=t("../common").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:"ico",mime:"image/x-icon",wUnits:"px",hUnits:"px"}}}},{"../common":257}],264:[function(t,e,r){"use strict";var n=t("../common").readUInt16BE,i=t("../common").str2arr,a=t("../common").sliceEq,o=t("../exif_utils"),s=i("Exif\0\0");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(c.orientation=i),c}e+=r}}},{"../common":257,"../exif_utils":258}],265:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("\x89PNG\r\n\x1a\n"),s=n("IHDR");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:"png",mime:"image/png",wUnits:"px",hUnits:"px"}}},{"../common":257}],266:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("8BPS\0\x01");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:"psd",mime:"image/vnd.adobe.photoshop",wUnits:"px",hUnits:"px"}}},{"../common":257}],267:[function(t,e,r){"use strict";function n(t){return"number"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\s/,o=/[^-]\bwidth="([^%]+?)"|[^-]\bwidth='([^%]+?)'/,s=/\bheight="([^%]+?)"|\bheight='([^%]+?)'/,l=/\bview[bB]ox="(.+?)"|\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:"px"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e="",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[""])[0];if(a.test(c)){var f=function(t){var e=t.match(o),r=t.match(s),n=t.match(l);return{width:e&&(e[1]||e[2]),height:r&&(r[1]||r[2]),viewbox:n&&(n[1]||n[2])}}(c),h=parseFloat(f.width),p=parseFloat(f.height);if(f.width&&f.height){if(!n(h)||!n(p))return;return{width:h,height:p,type:"svg",mime:"image/svg+xml",wUnits:u(f.width),hUnits:u(f.height)}}var d=(f.viewbox||"").split(" "),m={width:d[2],height:d[3]},g=parseFloat(m.width),v=parseFloat(m.height);if(n(g)&&n(v)&&u(m.width)===u(m.height)){var y=g/v;if(f.width){if(!n(h))return;return{width:h,height:h/y,type:"svg",mime:"image/svg+xml",wUnits:u(f.width),hUnits:u(f.width)}}if(f.height){if(!n(p))return;return{width:p*y,height:p,type:"svg",mime:"image/svg+xml",wUnits:u(f.height),hUnits:u(f.height)}}return{width:g,height:v,type:"svg",mime:"image/svg+xml",wUnits:u(m.width),hUnits:u(m.height)}}}}}},{}],268:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=t("../common").readUInt16BE,s=t("../common").readUInt32LE,l=t("../common").readUInt32BE,c=n("II*\0"),u=n("MM\0*");function f(t,e,r){return r?o(t,e):a(t,e)}function h(t,e,r){return r?l(t,e):s(t,e)}function p(t,e,r){var n=f(t,e+2,r);return 1!==h(t,e+4,r)||3!==n&&4!==n?null:3===n?f(t,e+8,r):h(t,e+8,r)}e.exports=function(t){if(!(t.length<8)&&(i(t,0,c)||i(t,0,u))){var e=77===t[0],r=h(t,4,e)-8;if(!(r<0)){var n=r+8;if(!(t.length-n<2)){var a=12*f(t,n+0,e);if(!(a<=0||(n+=2,t.length-n<a))){var o,s,l,d;for(o=0;o<a;o+=12)256===(d=f(t,n+o,e))?s=p(t,n+o,e):257===d&&(l=p(t,n+o,e));return s&&l?{width:s,height:l,type:"tiff",mime:"image/tiff",wUnits:"px",hUnits:"px"}:void 0}}}}}},{"../common":257}],269:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=t("../common").readUInt32LE,s=t("../exif_utils"),l=n("RIFF"),c=n("WEBP");function u(t,e){if(157===t[e+3]&&1===t[e+4]&&42===t[e+5])return{width:16383&a(t,e+6),height:16383&a(t,e+8),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}function f(t,e){if(47===t[e]){var r=o(t,e+1);return{width:1+(16383&r),height:1+(r>>14&16383),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}}function h(t,e){return{width:1+(t[e+6]<<16|t[e+5]<<8|t[e+4]),height:1+(t[e+9]<<e|t[e+8]<<8|t[e+7]),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}e.exports=function(t){if(!(t.length<16)&&(i(t,0,l)||i(t,8,c))){var e=12,r=null,n=0,a=o(t,4)+8;if(!(a>t.length)){for(;e+8<a;)if(0!==t[e]){var p=String.fromCharCode.apply(null,t.slice(e,e+4)),d=o(t,e+4);"VP8 "===p&&d>=10?r=r||u(t,e+8):"VP8L"===p&&d>=9?r=r||f(t,e+8):"VP8X"===p&&d>=10?r=r||h(t,e+8):"EXIF"===p&&(n=s.get_orientation(t.slice(e+8,e+8+d)),e=1/0),e+=8+d}else e++;if(r)return n>0&&(r.orientation=n),r}}}},{"../common":257,"../exif_utils":258}],270:[function(t,e,r){"use strict";e.exports={avif:t("./parse_sync/avif"),bmp:t("./parse_sync/bmp"),gif:t("./parse_sync/gif"),ico:t("./parse_sync/ico"),jpeg:t("./parse_sync/jpeg"),png:t("./parse_sync/png"),psd:t("./parse_sync/psd"),svg:t("./parse_sync/svg"),tiff:t("./parse_sync/tiff"),webp:t("./parse_sync/webp")}},{"./parse_sync/avif":260,"./parse_sync/bmp":261,"./parse_sync/gif":262,"./parse_sync/ico":263,"./parse_sync/jpeg":264,"./parse_sync/png":265,"./parse_sync/psd":266,"./parse_sync/svg":267,"./parse_sync/tiff":268,"./parse_sync/webp":269}],271:[function(t,e,r){"use strict";var n=t("./lib/parsers_sync");e.exports=function(t){return function(t){for(var e=Object.keys(n),r=0;r<e.length;r++){var i=n[e[r]](t);if(i)return i}return null}(t)},e.exports.parsers=n},{"./lib/parsers_sync":270}],272:[function(t,e,r){var n,i,a=e.exports={};function o(){throw new Error("setTimeout has not been defined")}function s(){throw new Error("clearTimeout has not been defined")}function l(t){if(n===setTimeout)return setTimeout(t,0);if((n===o||!n)&&setTimeout)return n=setTimeout,setTimeout(t,0);try{return n(t,0)}catch(e){try{return n.call(null,t,0)}catch(e){return n.call(this,t,0)}}}!function(){try{n="function"==typeof setTimeout?setTimeout:o}catch(t){n=o}try{i="function"==typeof clearTimeout?clearTimeout:s}catch(t){i=s}}();var c,u=[],f=!1,h=-1;function p(){f&&c&&(f=!1,c.length?u=c.concat(u):h=-1,u.length&&d())}function d(){if(!f){var t=l(p);f=!0;for(var e=u.length;e;){for(c=u,u=[];++h<e;)c&&c[h].run();h=-1,e=u.length}c=null,f=!1,function(t){if(i===clearTimeout)return clearTimeout(t);if((i===s||!i)&&clearTimeout)return i=clearTimeout,clearTimeout(t);try{i(t)}catch(e){try{return i.call(null,t)}catch(e){return i.call(this,t)}}}(t)}}function m(t,e){this.fun=t,this.array=e}function g(){}a.nextTick=function(t){var e=new Array(arguments.length-1);if(arguments.length>1)for(var r=1;r<arguments.length;r++)e[r-1]=arguments[r];u.push(new m(t,e)),1!==u.length||f||l(d)},m.prototype.run=function(){this.fun.apply(null,this.array)},a.title="browser",a.browser=!0,a.env={},a.argv=[],a.version="",a.versions={},a.on=g,a.addListener=g,a.once=g,a.off=g,a.removeListener=g,a.removeAllListeners=g,a.emit=g,a.prependListener=g,a.prependOnceListener=g,a.listeners=function(t){return[]},a.binding=function(t){throw new Error("process.binding is not supported")},a.cwd=function(){return"/"},a.chdir=function(t){throw new Error("process.chdir is not supported")},a.umask=function(){return 0}},{}],273:[function(t,e,r){(function(r){(function(){for(var n=t("performance-now"),i="undefined"==typeof window?r:window,a=["moz","webkit"],o="AnimationFrame",s=i["request"+o],l=i["cancel"+o]||i["cancelRequest"+o],c=0;!s&&c<a.length;c++)s=i[a[c]+"Request"+o],l=i[a[c]+"Cancel"+o]||i[a[c]+"CancelRequest"+o];if(!s||!l){var u=0,f=0,h=[];s=function(t){if(0===h.length){var e=n(),r=Math.max(0,1e3/60-(e-u));u=r+e,setTimeout((function(){var t=h.slice(0);h.length=0;for(var e=0;e<t.length;e++)if(!t[e].cancelled)try{t[e].callback(u)}catch(t){setTimeout((function(){throw t}),0)}}),Math.round(r))}return h.push({handle:++f,callback:t,cancelled:!1}),f},l=function(t){for(var e=0;e<h.length;e++)h[e].handle===t&&(h[e].cancelled=!0)}}e.exports=function(t){return s.call(i,t)},e.exports.cancel=function(){l.apply(i,arguments)},e.exports.polyfill=function(t){t||(t=i),t.requestAnimationFrame=s,t.cancelAnimationFrame=l}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"performance-now":247}],274:[function(t,e,r){"use strict";var n=t("array-bounds"),i=t("color-normalize"),a=t("update-diff"),o=t("pick-by-alias"),s=t("object-assign"),l=t("flatten-vertex-data"),c=t("to-float32"),u=c.float32,f=c.fract32;e.exports=function(t,e){"function"==typeof t?(e||(e={}),e.regl=t):e=t;e.length&&(e.positions=e);if(!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");var r,c,p,d,m,g,v=t._gl,y={color:"black",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},x=[];return d=t.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array(0)}),c=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)}),p=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)}),m=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)}),g=t.buffer({usage:"static",type:"float",data:h}),T(e),r=t({vert:"\n\t\tprecision highp float;\n\n\t\tattribute vec2 position, positionFract;\n\t\tattribute vec4 error;\n\t\tattribute vec4 color;\n\n\t\tattribute vec2 direction, lineOffset, capOffset;\n\n\t\tuniform vec4 viewport;\n\t\tuniform float lineWidth, capSize;\n\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n\n\t\tvarying vec4 fragColor;\n\n\t\tvoid main() {\n\t\t\tfragColor = color / 255.;\n\n\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n\n\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n\n\t\t\tvec2 position = position + dxy;\n\n\t\t\tvec2 pos = (position + translate) * scale\n\t\t\t\t+ (positionFract + translateFract) * scale\n\t\t\t\t+ (position + translate) * scaleFract\n\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n\n\t\t\tpos += pixelOffset / viewport.zw;\n\n\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n\t\t}\n\t\t",frag:"\n\t\tprecision highp float;\n\n\t\tvarying vec4 fragColor;\n\n\t\tuniform float opacity;\n\n\t\tvoid main() {\n\t\t\tgl_FragColor = fragColor;\n\t\t\tgl_FragColor.a *= opacity;\n\t\t}\n\t\t",uniforms:{range:t.prop("range"),lineWidth:t.prop("lineWidth"),capSize:t.prop("capSize"),opacity:t.prop("opacity"),scale:t.prop("scale"),translate:t.prop("translate"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{color:{buffer:d,offset:function(t,e){return 4*e.offset},divisor:1},position:{buffer:c,offset:function(t,e){return 8*e.offset},divisor:1},positionFract:{buffer:p,offset:function(t,e){return 8*e.offset},divisor:1},error:{buffer:m,offset:function(t,e){return 16*e.offset},divisor:1},direction:{buffer:g,stride:24,offset:0},lineOffset:{buffer:g,stride:24,offset:8},capOffset:{buffer:g,stride:24,offset:16}},primitive:"triangles",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:!1,instances:t.prop("count"),count:h.length}),s(b,{update:T,draw:_,destroy:k,regl:t,gl:v,canvas:v.canvas,groups:x}),b;function b(t){t?T(t):null===t&&k(),_()}function _(e){if("number"==typeof e)return w(e);e&&!Array.isArray(e)&&(e=[e]),t._refresh(),x.forEach((function(t,r){t&&(e&&(e[r]?t.draw=!0:t.draw=!1),t.draw?w(r):t.draw=!0)}))}function w(t){"number"==typeof t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,c){var u=x[c];return t?("function"==typeof t?t={after:t}:"number"==typeof t[0]&&(t={positions:t}),t=o(t,{color:"color colors fill",capSize:"capSize cap capsize cap-size",lineWidth:"lineWidth line-width width line thickness",opacity:"opacity alpha",range:"range dataBox",viewport:"viewport viewBox",errors:"errors error",positions:"positions position data points"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,"float64"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t="transparent"),!Array.isArray(t)||"number"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error("Not enough colors");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],"uint8");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:v.drawingBufferWidth,height:v.drawingBufferHeight},e}}]),u):u})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=f(g,T);p(k),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{"array-bounds":67,"color-normalize":84,"flatten-vertex-data":186,"object-assign":242,"pick-by-alias":248,"to-float32":308,"update-diff":324}],275:[function(t,e,r){"use strict";var n=t("color-normalize"),i=t("array-bounds"),a=t("object-assign"),o=t("glslify"),s=t("pick-by-alias"),l=t("flatten-vertex-data"),c=t("earcut"),u=t("array-normalize"),f=t("to-float32"),h=f.float32,p=f.fract32,d=t("es6-weak-map"),m=t("parse-rect"),g=t("array-find-index");function v(t,e){if(!(this instanceof v))return new v(t,e);if("function"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashTexture:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashLength:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow",splitNull:"splitNull"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,"float64"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Y=h(G);d.positionBuffer(Y);var W=p(G,Y);d.positionFractBuffer(W)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var X=d.bounds,Z=X[2]-X[0],J=X[3]-X[1],K=d.range[2]-d.range[0],Q=d.range[3]-d.range[1];d.scale=[Z/K,J/Q],d.translate=[-d.range[0]/K+X[0]/K||0,-d.range[1]/Q+X[1]/Q||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var $,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,$=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];$=new Uint8Array(tt*v.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct="transparent");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&"number"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],"uint8");ut.set(ht,4*ft)}ut.set(n(ct[0],"uint8"),4*lt)}else for(var pt=n(ct,"uint8"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:"dynamic",type:"uint8",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{"array-bounds":67,"array-find-index":68,"array-normalize":69,"color-normalize":84,earcut:123,"es6-weak-map":177,"flatten-vertex-data":186,glslify:222,"object-assign":242,"parse-rect":244,"pick-by-alias":248,"to-float32":308}],276:[function(t,e,r){"use strict";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:"undefined"!=typeof Symbol&&t[Symbol.iterator]||t["@@iterator"];if(null==r)return;var n,i,a=[],o=!0,s=!1;try{for(r=r.call(t);!(o=(n=r.next()).done)&&(a.push(n.value),!e||a.length!==e);o=!0);}catch(t){s=!0,i=t}finally{try{o||null==r.return||r.return()}finally{if(s)throw i}}return a}(t,e)||a(t,e)||function(){throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function i(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if("undefined"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t["@@iterator"])return Array.from(t)}(t)||a(t)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function a(t,e){if(t){if("string"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return"Object"===r&&t.constructor&&(r=t.constructor.name),"Map"===r||"Set"===r?Array.from(t):"Arguments"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t("color-normalize"),l=t("array-bounds"),c=t("color-id"),u=t("@plotly/point-cluster"),f=t("object-assign"),h=t("glslify"),p=t("pick-by-alias"),d=t("update-diff"),m=t("flatten-vertex-data"),g=t("is-iexplorer"),v=t("to-float32"),y=t("parse-rect"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);"function"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=g,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:"uint8",format:"rgba",wrapS:"clamp",wrapT:"clamp",mag:"nearest",min:"nearest"}),f(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop("opacity"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context("pixelRatio"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translate:t.prop("translate"),translateFract:t.prop("translateFract"),markerTexture:t.prop("markerTexture"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=f({},o);s.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,"float64");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:"dynamic"}),a({data:v.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:"dynamic"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:"uint8",usage:"dynamic"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:"linear",min:"linear"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if("number"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,"uint8");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t("object-assign");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{"@plotly/point-cluster":59,"array-bounds":67,"color-id":82,"color-normalize":84,"flatten-vertex-data":186,glslify:222,"is-iexplorer":228,"object-assign":242,"parse-rect":244,"pick-by-alias":248,"to-float32":308,"update-diff":324}],277:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("pick-by-alias"),a=t("array-bounds"),o=t("raf"),s=t("array-range"),l=t("parse-rect"),c=t("flatten-vertex-data");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if("number"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:"data items columns rows values dimensions samples x",snap:"snap cluster",size:"sizes size radius",color:"colors color fill fill-color fillColor",opacity:"opacity alpha transparency opaque",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",borderColor:"borderColors borderColor bordercolor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range ranges databox dataBox",viewport:"viewport viewBox viewbox",domain:"domain domains area areas",padding:"pad padding paddings pads margin margins",transpose:"transpose transposed",diagonal:"diagonal diag showDiagonal",upper:"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf",lower:"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),color:"black",marker:null,size:12,borderColor:"transparent",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&"number"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&"number"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if("number"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},{"array-bounds":67,"array-range":70,"flatten-vertex-data":186,"parse-rect":244,"pick-by-alias":248,raf:273,"regl-scatter2d":276}],278:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?e.exports=n():t.createREGL=n()}(this,(function(){function t(t,e){this.id=q++,this.type=t,this.data=e}function e(t){return"["+function t(e){if(0===e.length)return[];var r=e.charAt(0),n=e.charAt(e.length-1);if(1<e.length&&r===n&&('"'===r||"'"===r))return['"'+e.substr(1,e.length-2).replace(/\\/g,"\\\\").replace(/"/g,'\\"')+'"'];if(r=/\[(false|true|null|\d+|'[^']*'|"[^"]*")\]/.exec(e))return t(e.substr(0,r.index)).concat(t(r[1])).concat(t(e.substr(r.index+r[0].length)));if(1===(r=e.split(".")).length)return['"'+e.replace(/\\/g,"\\\\").replace(/"/g,'\\"')+'"'];for(e=[],n=0;n<r.length;++n)e=e.concat(t(r[n]));return e}(t).join("][")+"]"}function r(t){return"string"==typeof t?t.split():t}function n(t){return"string"==typeof t?document.querySelector(t):t}function i(t){var e,i,a,o,s=t||{};t={};var l=[],c=[],u="undefined"==typeof window?1:window.devicePixelRatio,f=!1,h={},p=function(t){},d=function(){};if("string"==typeof s?e=document.querySelector(s):"object"==typeof s&&("string"==typeof s.nodeName&&"function"==typeof s.appendChild&&"function"==typeof s.getBoundingClientRect?e=s:"function"==typeof s.drawArrays||"function"==typeof s.drawElements?a=(o=s).canvas:("gl"in s?o=s.gl:"canvas"in s?a=n(s.canvas):"container"in s&&(i=n(s.container)),"attributes"in s&&(t=s.attributes),"extensions"in s&&(l=r(s.extensions)),"optionalExtensions"in s&&(c=r(s.optionalExtensions)),"onDone"in s&&(p=s.onDone),"profile"in s&&(f=!!s.profile),"pixelRatio"in s&&(u=+s.pixelRatio),"cachedCode"in s&&(h=s.cachedCode))),e&&("canvas"===e.nodeName.toLowerCase()?a=e:i=e),!o){if(!a){if(!(e=function(t,e,r){function n(){var e=window.innerWidth,n=window.innerHeight;t!==document.body&&(e=(n=a.getBoundingClientRect()).right-n.left,n=n.bottom-n.top),a.width=r*e,a.height=r*n}var i,a=document.createElement("canvas");return H(a.style,{border:0,margin:0,padding:0,top:0,left:0,width:"100%",height:"100%"}),t.appendChild(a),t===document.body&&(a.style.position="absolute",H(t.style,{margin:0,padding:0})),t!==document.body&&"function"==typeof ResizeObserver?(i=new ResizeObserver((function(){setTimeout(n)}))).observe(t):window.addEventListener("resize",n,!1),n(),{canvas:a,onDestroy:function(){i?i.disconnect():window.removeEventListener("resize",n),t.removeChild(a)}}}(i||document.body,0,u)))return null;a=e.canvas,d=e.onDestroy}void 0===t.premultipliedAlpha&&(t.premultipliedAlpha=!0),o=function(t,e){function r(r){try{return t.getContext(r,e)}catch(t){return null}}return r("webgl")||r("experimental-webgl")||r("webgl-experimental")}(a,t)}return o?{gl:o,canvas:a,container:i,extensions:l,optionalExtensions:c,pixelRatio:u,profile:f,cachedCode:h,onDone:p,onDestroy:d}:(d(),p("webgl not supported, try upgrading your browser or graphics drivers http://get.webgl.org"),null)}function a(t,e){for(var r=Array(t),n=0;n<t;++n)r[n]=e(n);return r}function o(t){var e,r;return e=(65535<t)<<4,e|=r=(255<(t>>>=e))<<3,(e|=r=(15<(t>>>=r))<<2)|(r=(3<(t>>>=r))<<1)|t>>>r>>1}function s(){function t(t){t:{for(var e=16;268435456>=e;e*=16)if(t<=e){t=e;break t}t=0}return 0<(e=r[o(t)>>2]).length?e.pop():new ArrayBuffer(t)}function e(t){r[o(t.byteLength)>>2].push(t)}var r=a(8,(function(){return[]}));return{alloc:t,free:e,allocType:function(e,r){var n=null;switch(e){case 5120:n=new Int8Array(t(r),0,r);break;case 5121:n=new Uint8Array(t(r),0,r);break;case 5122:n=new Int16Array(t(2*r),0,r);break;case 5123:n=new Uint16Array(t(2*r),0,r);break;case 5124:n=new Int32Array(t(4*r),0,r);break;case 5125:n=new Uint32Array(t(4*r),0,r);break;case 5126:n=new Float32Array(t(4*r),0,r);break;default:return null}return n.length!==r?n.subarray(0,r):n},freeType:function(t){e(t.buffer)}}}function l(t){return!!t&&"object"==typeof t&&Array.isArray(t.shape)&&Array.isArray(t.stride)&&"number"==typeof t.offset&&t.shape.length===t.stride.length&&(Array.isArray(t.data)||J(t.data))}function c(t,e,r,n,i,a){for(var o=0;o<e;++o)for(var s=t[o],l=0;l<r;++l)for(var c=s[l],u=0;u<n;++u)i[a++]=c[u]}function u(t){return 0|$[Object.prototype.toString.call(t)]}function f(t,e){for(var r=0;r<e.length;++r)t[r]=e[r]}function h(t,e,r,n,i,a,o){for(var s=0,l=0;l<r;++l)for(var c=0;c<n;++c)t[s++]=e[i*l+a*c+o]}function p(t,e,r,n){function i(e){this.id=c++,this.buffer=t.createBuffer(),this.type=e,this.usage=35044,this.byteLength=0,this.dimension=1,this.dtype=5121,this.persistentData=null,r.profile&&(this.stats={size:0})}function a(e,r,n){e.byteLength=r.byteLength,t.bufferData(e.type,r,n)}function o(t,e,r,n,i,o){if(t.usage=r,Array.isArray(e)){if(t.dtype=n||5126,0<e.length)if(Array.isArray(e[0])){i=nt(e);for(var s=n=1;s<i.length;++s)n*=i[s];t.dimension=n,a(t,e=rt(e,i,t.dtype),r),o?t.persistentData=e:X.freeType(e)}else"number"==typeof e[0]?(t.dimension=i,f(i=X.allocType(t.dtype,e.length),e),a(t,i,r),o?t.persistentData=i:X.freeType(i)):J(e[0])&&(t.dimension=e[0].length,t.dtype=n||u(e[0])||5126,a(t,e=rt(e,[e.length,e[0].length],t.dtype),r),o?t.persistentData=e:X.freeType(e))}else if(J(e))t.dtype=n||u(e),t.dimension=i,a(t,e,r),o&&(t.persistentData=new Uint8Array(new Uint8Array(e.buffer)));else if(l(e)){i=e.shape;var c=e.stride,p=(s=e.offset,0),d=0,m=0,g=0;1===i.length?(p=i[0],d=1,m=c[0],g=0):2===i.length&&(p=i[0],d=i[1],m=c[0],g=c[1]),t.dtype=n||u(e.data)||5126,t.dimension=d,h(i=X.allocType(t.dtype,p*d),e.data,p,d,m,g,s),a(t,i,r),o?t.persistentData=i:X.freeType(i)}else e instanceof ArrayBuffer&&(t.dtype=5121,t.dimension=i,a(t,e,r),o&&(t.persistentData=new Uint8Array(new Uint8Array(e))))}function s(r){e.bufferCount--,n(r),t.deleteBuffer(r.buffer),r.buffer=null,delete p[r.id]}var c=0,p={};i.prototype.bind=function(){t.bindBuffer(this.type,this.buffer)},i.prototype.destroy=function(){s(this)};var d=[];return r.profile&&(e.getTotalBufferSize=function(){var t=0;return Object.keys(p).forEach((function(e){t+=p[e].stats.size})),t}),{create:function(n,a,c,d){function m(e){var n=35044,i=null,a=0,s=0,c=1;return Array.isArray(e)||J(e)||l(e)||e instanceof ArrayBuffer?i=e:"number"==typeof e?a=0|e:e&&("data"in e&&(i=e.data),"usage"in e&&(n=et[e.usage]),"type"in e&&(s=tt[e.type]),"dimension"in e&&(c=0|e.dimension),"length"in e&&(a=0|e.length)),g.bind(),i?o(g,i,n,s,c,d):(a&&t.bufferData(g.type,a,n),g.dtype=s||5121,g.usage=n,g.dimension=c,g.byteLength=a),r.profile&&(g.stats.size=g.byteLength*it[g.dtype]),m}e.bufferCount++;var g=new i(a);return p[g.id]=g,c||m(n),m._reglType="buffer",m._buffer=g,m.subdata=function(e,r){var n,i=0|(r||0);if(g.bind(),J(e)||e instanceof ArrayBuffer)t.bufferSubData(g.type,i,e);else if(Array.isArray(e)){if(0<e.length)if("number"==typeof e[0]){var a=X.allocType(g.dtype,e.length);f(a,e),t.bufferSubData(g.type,i,a),X.freeType(a)}else(Array.isArray(e[0])||J(e[0]))&&(n=nt(e),a=rt(e,n,g.dtype),t.bufferSubData(g.type,i,a),X.freeType(a))}else if(l(e)){n=e.shape;var o=e.stride,s=a=0,c=0,p=0;1===n.length?(a=n[0],s=1,c=o[0],p=0):2===n.length&&(a=n[0],s=n[1],c=o[0],p=o[1]),n=Array.isArray(e.data)?g.dtype:u(e.data),h(n=X.allocType(n,a*s),e.data,a,s,c,p,e.offset),t.bufferSubData(g.type,i,n),X.freeType(n)}return m},r.profile&&(m.stats=g.stats),m.destroy=function(){s(g)},m},createStream:function(t,e){var r=d.pop();return r||(r=new i(t)),r.bind(),o(r,e,35040,0,1,!1),r},destroyStream:function(t){d.push(t)},clear:function(){K(p).forEach(s),d.forEach(s)},getBuffer:function(t){return t&&t._buffer instanceof i?t._buffer:null},restore:function(){K(p).forEach((function(e){e.buffer=t.createBuffer(),t.bindBuffer(e.type,e.buffer),t.bufferData(e.type,e.persistentData||e.byteLength,e.usage)}))},_initBuffer:o}}function d(t,e,r,n){function i(t){this.id=c++,s[this.id]=this,this.buffer=t,this.primType=4,this.type=this.vertCount=0}function a(n,i,a,o,s,c,u){var f;if(n.buffer.bind(),i?((f=u)||J(i)&&(!l(i)||J(i.data))||(f=e.oes_element_index_uint?5125:5123),r._initBuffer(n.buffer,i,a,f,3)):(t.bufferData(34963,c,a),n.buffer.dtype=f||5121,n.buffer.usage=a,n.buffer.dimension=3,n.buffer.byteLength=c),f=u,!u){switch(n.buffer.dtype){case 5121:case 5120:f=5121;break;case 5123:case 5122:f=5123;break;case 5125:case 5124:f=5125}n.buffer.dtype=f}n.type=f,0>(i=s)&&(i=n.buffer.byteLength,5123===f?i>>=1:5125===f&&(i>>=2)),n.vertCount=i,i=o,0>o&&(i=4,1===(o=n.buffer.dimension)&&(i=0),2===o&&(i=1),3===o&&(i=4)),n.primType=i}function o(t){n.elementsCount--,delete s[t.id],t.buffer.destroy(),t.buffer=null}var s={},c=0,u={uint8:5121,uint16:5123};e.oes_element_index_uint&&(u.uint32=5125),i.prototype.bind=function(){this.buffer.bind()};var f=[];return{create:function(t,e){function s(t){if(t)if("number"==typeof t)c(t),f.primType=4,f.vertCount=0|t,f.type=5121;else{var e=null,r=35044,n=-1,i=-1,o=0,h=0;Array.isArray(t)||J(t)||l(t)?e=t:("data"in t&&(e=t.data),"usage"in t&&(r=et[t.usage]),"primitive"in t&&(n=at[t.primitive]),"count"in t&&(i=0|t.count),"type"in t&&(h=u[t.type]),"length"in t?o=0|t.length:(o=i,5123===h||5122===h?o*=2:5125!==h&&5124!==h||(o*=4))),a(f,e,r,n,i,o,h)}else c(),f.primType=4,f.vertCount=0,f.type=5121;return s}var c=r.create(null,34963,!0),f=new i(c._buffer);return n.elementsCount++,s(t),s._reglType="elements",s._elements=f,s.subdata=function(t,e){return c.subdata(t,e),s},s.destroy=function(){o(f)},s},createStream:function(t){var e=f.pop();return e||(e=new i(r.create(null,34963,!0,!1)._buffer)),a(e,t,35040,-1,-1,0,0),e},destroyStream:function(t){f.push(t)},getElements:function(t){return"function"==typeof t&&t._elements instanceof i?t._elements:null},clear:function(){K(s).forEach(o)}}}function m(t){for(var e=X.allocType(5123,t.length),r=0;r<t.length;++r)if(isNaN(t[r]))e[r]=65535;else if(1/0===t[r])e[r]=31744;else if(-1/0===t[r])e[r]=64512;else{ot[0]=t[r];var n=(a=st[0])>>>31<<15,i=(a<<1>>>24)-127,a=a>>13&1023;e[r]=-24>i?n:-14>i?n+(a+1024>>-14-i):15<i?n+31744:n+(i+15<<10)+a}return e}function g(t){return Array.isArray(t)||J(t)}function v(t){return"[object "+t+"]"}function y(t){return Array.isArray(t)&&(0===t.length||"number"==typeof t[0])}function x(t){return!(!Array.isArray(t)||0===t.length||!g(t[0]))}function b(t){return Object.prototype.toString.call(t)}function _(t){if(!t)return!1;var e=b(t);return 0<=vt.indexOf(e)||(y(t)||x(t)||l(t))}function w(t,e){36193===t.type?(t.data=m(e),X.freeType(e)):t.data=e}function T(t,e,r,n,i,a){if(t=void 0!==xt[t]?xt[t]:ut[t]*yt[e],a&&(t*=6),i){for(n=0;1<=r;)n+=t*r*r,r/=2;return n}return t*r*n}function k(t,e,r,n,i,a,o){function s(){this.format=this.internalformat=6408,this.type=5121,this.flipY=this.premultiplyAlpha=this.compressed=!1,this.unpackAlignment=1,this.colorSpace=37444,this.channels=this.height=this.width=0}function c(t,e){t.internalformat=e.internalformat,t.format=e.format,t.type=e.type,t.compressed=e.compressed,t.premultiplyAlpha=e.premultiplyAlpha,t.flipY=e.flipY,t.unpackAlignment=e.unpackAlignment,t.colorSpace=e.colorSpace,t.width=e.width,t.height=e.height,t.channels=e.channels}function u(t,e){if("object"==typeof e&&e){"premultiplyAlpha"in e&&(t.premultiplyAlpha=e.premultiplyAlpha),"flipY"in e&&(t.flipY=e.flipY),"alignment"in e&&(t.unpackAlignment=e.alignment),"colorSpace"in e&&(t.colorSpace=V[e.colorSpace]),"type"in e&&(t.type=q[e.type]);var r=t.width,n=t.height,i=t.channels,a=!1;"shape"in e?(r=e.shape[0],n=e.shape[1],3===e.shape.length&&(i=e.shape[2],a=!0)):("radius"in e&&(r=n=e.radius),"width"in e&&(r=e.width),"height"in e&&(n=e.height),"channels"in e&&(i=e.channels,a=!0)),t.width=0|r,t.height=0|n,t.channels=0|i,r=!1,"format"in e&&(r=e.format,n=t.internalformat=G[r],t.format=at[n],r in q&&!("type"in e)&&(t.type=q[r]),r in Y&&(t.compressed=!0),r=!0),!a&&r?t.channels=ut[t.format]:a&&!r&&t.channels!==ct[t.format]&&(t.format=t.internalformat=ct[t.channels])}}function f(e){t.pixelStorei(37440,e.flipY),t.pixelStorei(37441,e.premultiplyAlpha),t.pixelStorei(37443,e.colorSpace),t.pixelStorei(3317,e.unpackAlignment)}function h(){s.call(this),this.yOffset=this.xOffset=0,this.data=null,this.needsFree=!1,this.element=null,this.needsCopy=!1}function p(t,e){var r=null;if(_(e)?r=e:e&&(u(t,e),"x"in e&&(t.xOffset=0|e.x),"y"in e&&(t.yOffset=0|e.y),_(e.data)&&(r=e.data)),e.copy){var n=i.viewportWidth,a=i.viewportHeight;t.width=t.width||n-t.xOffset,t.height=t.height||a-t.yOffset,t.needsCopy=!0}else if(r){if(J(r))t.channels=t.channels||4,t.data=r,"type"in e||5121!==t.type||(t.type=0|$[Object.prototype.toString.call(r)]);else if(y(r)){switch(t.channels=t.channels||4,a=(n=r).length,t.type){case 5121:case 5123:case 5125:case 5126:(a=X.allocType(t.type,a)).set(n),t.data=a;break;case 36193:t.data=m(n)}t.alignment=1,t.needsFree=!0}else if(l(r)){n=r.data,Array.isArray(n)||5121!==t.type||(t.type=0|$[Object.prototype.toString.call(n)]);a=r.shape;var o,s,c,f,h=r.stride;3===a.length?(c=a[2],f=h[2]):f=c=1,o=a[0],s=a[1],a=h[0],h=h[1],t.alignment=1,t.width=o,t.height=s,t.channels=c,t.format=t.internalformat=ct[c],t.needsFree=!0,o=f,r=r.offset,c=t.width,f=t.height,s=t.channels;for(var p=X.allocType(36193===t.type?5126:t.type,c*f*s),d=0,v=0;v<f;++v)for(var T=0;T<c;++T)for(var k=0;k<s;++k)p[d++]=n[a*T+h*v+o*k+r];w(t,p)}else if(b(r)===ft||b(r)===ht||b(r)===pt)b(r)===ft||b(r)===ht?t.element=r:t.element=r.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(b(r)===dt)t.element=r,t.width=r.width,t.height=r.height,t.channels=4;else if(b(r)===mt)t.element=r,t.width=r.naturalWidth,t.height=r.naturalHeight,t.channels=4;else if(b(r)===gt)t.element=r,t.width=r.videoWidth,t.height=r.videoHeight,t.channels=4;else if(x(r)){for(n=t.width||r[0].length,a=t.height||r.length,h=t.channels,h=g(r[0][0])?h||r[0][0].length:h||1,o=Q.shape(r),c=1,f=0;f<o.length;++f)c*=o[f];c=X.allocType(36193===t.type?5126:t.type,c),Q.flatten(r,o,"",c),w(t,c),t.alignment=1,t.width=n,t.height=a,t.channels=h,t.format=t.internalformat=ct[h],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4}function d(e,r,i,a,o){var s=e.element,l=e.data,c=e.internalformat,u=e.format,h=e.type,p=e.width,d=e.height;f(e),s?t.texSubImage2D(r,o,i,a,u,h,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,c,p,d,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,p,d)):t.texSubImage2D(r,o,i,a,p,d,u,h,l)}function v(){return ot.pop()||new h}function k(t){t.needsFree&&X.freeType(t.data),h.call(t),ot.push(t)}function A(){s.call(this),this.genMipmaps=!1,this.mipmapHint=4352,this.mipmask=0,this.images=Array(16)}function M(t,e,r){var n=t.images[0]=v();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function S(t,e){var r=null;if(_(e))c(r=t.images[0]=v(),t),p(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)c(r=t.images[i]=v(),t),r.width>>=i,r.height>>=i,p(r,n[i]),t.mipmask|=1<<i;else c(r=t.images[0]=v(),t),p(r,e),t.mipmask=1;c(t,t.images[0])}function E(e,r){for(var i=e.images,a=0;a<i.length&&i[a];++a){var o=i[a],s=r,l=a,c=o.element,u=o.data,h=o.internalformat,p=o.format,d=o.type,m=o.width,g=o.height;f(o),c?t.texImage2D(s,l,p,p,d,c):o.compressed?t.compressedTexImage2D(s,l,h,m,g,0,u):o.needsCopy?(n(),t.copyTexImage2D(s,l,p,o.xOffset,o.yOffset,m,g,0)):t.texImage2D(s,l,p,m,g,0,p,d,u||null)}}function L(){var t=st.pop()||new A;s.call(t);for(var e=t.mipmask=0;16>e;++e)t.images[e]=null;return t}function C(t){for(var e=t.images,r=0;r<e.length;++r)e[r]&&k(e[r]),e[r]=null;st.push(t)}function P(){this.magFilter=this.minFilter=9728,this.wrapT=this.wrapS=33071,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=4352}function I(t,e){"min"in e&&(t.minFilter=U[e.min],0<=lt.indexOf(t.minFilter)&&!("faces"in e)&&(t.genMipmaps=!0)),"mag"in e&&(t.magFilter=j[e.mag]);var r=t.wrapS,n=t.wrapT;if("wrap"in e){var i=e.wrap;"string"==typeof i?r=n=N[i]:Array.isArray(i)&&(r=N[i[0]],n=N[i[1]])}else"wrapS"in e&&(r=N[e.wrapS]),"wrapT"in e&&(n=N[e.wrapT]);if(t.wrapS=r,t.wrapT=n,"anisotropic"in e&&(t.anisotropic=e.anisotropic),"mipmap"in e){switch(r=!1,typeof e.mipmap){case"string":t.mipmapHint=B[e.mipmap],r=t.genMipmaps=!0;break;case"boolean":r=t.genMipmaps=e.mipmap;break;case"object":t.genMipmaps=!1,r=!0}!r||"min"in e||(t.minFilter=9984)}}function O(r,n){t.texParameteri(n,10241,r.minFilter),t.texParameteri(n,10240,r.magFilter),t.texParameteri(n,10242,r.wrapS),t.texParameteri(n,10243,r.wrapT),e.ext_texture_filter_anisotropic&&t.texParameteri(n,34046,r.anisotropic),r.genMipmaps&&(t.hint(33170,r.mipmapHint),t.generateMipmap(n))}function z(e){s.call(this),this.mipmask=0,this.internalformat=6408,this.id=vt++,this.refCount=1,this.target=e,this.texture=t.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new P,o.profile&&(this.stats={size:0})}function D(e){t.activeTexture(33984),t.bindTexture(e.target,e.texture)}function R(){var e=bt[0];e?t.bindTexture(e.target,e.texture):t.bindTexture(3553,null)}function F(e){var r=e.texture,n=e.unit,i=e.target;0<=n&&(t.activeTexture(33984+n),t.bindTexture(i,null),bt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete yt[e.id],a.textureCount--}var B={"don't care":4352,"dont care":4352,nice:4354,fast:4353},N={repeat:10497,clamp:33071,mirror:33648},j={nearest:9728,linear:9729},U=H({mipmap:9987,"nearest mipmap nearest":9984,"linear mipmap nearest":9985,"nearest mipmap linear":9986,"linear mipmap linear":9987},j),V={none:0,browser:37444},q={uint8:5121,rgba4:32819,rgb565:33635,"rgb5 a1":32820},G={alpha:6406,luminance:6409,"luminance alpha":6410,rgb:6407,rgba:6408,rgba4:32854,"rgb5 a1":32855,rgb565:36194},Y={};e.ext_srgb&&(G.srgb=35904,G.srgba=35906),e.oes_texture_float&&(q.float32=q.float=5126),e.oes_texture_half_float&&(q.float16=q["half float"]=36193),e.webgl_depth_texture&&(H(G,{depth:6402,"depth stencil":34041}),H(q,{uint16:5123,uint32:5125,"depth stencil":34042})),e.webgl_compressed_texture_s3tc&&H(Y,{"rgb s3tc dxt1":33776,"rgba s3tc dxt1":33777,"rgba s3tc dxt3":33778,"rgba s3tc dxt5":33779}),e.webgl_compressed_texture_atc&&H(Y,{"rgb atc":35986,"rgba atc explicit alpha":35987,"rgba atc interpolated alpha":34798}),e.webgl_compressed_texture_pvrtc&&H(Y,{"rgb pvrtc 4bppv1":35840,"rgb pvrtc 2bppv1":35841,"rgba pvrtc 4bppv1":35842,"rgba pvrtc 2bppv1":35843}),e.webgl_compressed_texture_etc1&&(Y["rgb etc1"]=36196);var W=Array.prototype.slice.call(t.getParameter(34467));Object.keys(Y).forEach((function(t){var e=Y[t];0<=W.indexOf(e)&&(G[t]=e)}));var Z=Object.keys(G);r.textureFormats=Z;var tt=[];Object.keys(G).forEach((function(t){tt[G[t]]=t}));var et=[];Object.keys(q).forEach((function(t){et[q[t]]=t}));var rt=[];Object.keys(j).forEach((function(t){rt[j[t]]=t}));var nt=[];Object.keys(U).forEach((function(t){nt[U[t]]=t}));var it=[];Object.keys(N).forEach((function(t){it[N[t]]=t}));var at=Z.reduce((function(t,r){var n=G[r];return 6409===n||6406===n||6409===n||6410===n||6402===n||34041===n||e.ext_srgb&&(35904===n||35906===n)?t[n]=n:32855===n||0<=r.indexOf("rgba")?t[n]=6408:t[n]=6407,t}),{}),ot=[],st=[],vt=0,yt={},xt=r.maxTextureUnits,bt=Array(xt).map((function(){return null}));return H(z.prototype,{bind:function(){this.bindCount+=1;var e=this.unit;if(0>e){for(var r=0;r<xt;++r){var n=bt[r];if(n){if(0<n.bindCount)continue;n.unit=-1}bt[r]=this,e=r;break}o.profile&&a.maxTextureUnits<e+1&&(a.maxTextureUnits=e+1),this.unit=e,t.activeTexture(33984+e),t.bindTexture(this.target,this.texture)}return e},unbind:function(){--this.bindCount},decRef:function(){0>=--this.refCount&&F(this)}}),o.profile&&(a.getTotalTextureSize=function(){var t=0;return Object.keys(yt).forEach((function(e){t+=yt[e].stats.size})),t}),{create2D:function(e,r){function n(t,e){var r=i.texInfo;P.call(r);var a=L();return"number"==typeof t?M(a,0|t,"number"==typeof e?0|e:0|t):t?(I(r,t),S(a,t)):M(a,1,1),r.genMipmaps&&(a.mipmask=(a.width<<1)-1),i.mipmask=a.mipmask,c(i,a),i.internalformat=a.internalformat,n.width=a.width,n.height=a.height,D(i),E(a,3553),O(r,3553),R(),C(a),o.profile&&(i.stats.size=T(i.internalformat,i.type,a.width,a.height,r.genMipmaps,!1)),n.format=tt[i.internalformat],n.type=et[i.type],n.mag=rt[r.magFilter],n.min=nt[r.minFilter],n.wrapS=it[r.wrapS],n.wrapT=it[r.wrapT],n}var i=new z(3553);return yt[i.id]=i,a.textureCount++,n(e,r),n.subimage=function(t,e,r,a){e|=0,r|=0,a|=0;var o=v();return c(o,i),o.width=0,o.height=0,p(o,t),o.width=o.width||(i.width>>a)-e,o.height=o.height||(i.height>>a)-r,D(i),d(o,3553,e,r,a),R(),k(o),n},n.resize=function(e,r){var a=0|e,s=0|r||a;if(a===i.width&&s===i.height)return n;n.width=i.width=a,n.height=i.height=s,D(i);for(var l=0;i.mipmask>>l;++l){var c=a>>l,u=s>>l;if(!c||!u)break;t.texImage2D(3553,l,i.format,c,u,0,i.format,i.type,null)}return R(),o.profile&&(i.stats.size=T(i.internalformat,i.type,a,s,!1,!1)),n},n._reglType="texture2d",n._texture=i,o.profile&&(n.stats=i.stats),n.destroy=function(){i.decRef()},n},createCube:function(e,r,n,i,s,l){function f(t,e,r,n,i,a){var s,l=h.texInfo;for(P.call(l),s=0;6>s;++s)m[s]=L();if("number"!=typeof t&&t){if("object"==typeof t)if(e)S(m[0],t),S(m[1],e),S(m[2],r),S(m[3],n),S(m[4],i),S(m[5],a);else if(I(l,t),u(h,t),"faces"in t)for(t=t.faces,s=0;6>s;++s)c(m[s],h),S(m[s],t[s]);else for(s=0;6>s;++s)S(m[s],t)}else for(t=0|t||1,s=0;6>s;++s)M(m[s],t,t);for(c(h,m[0]),h.mipmask=l.genMipmaps?(m[0].width<<1)-1:m[0].mipmask,h.internalformat=m[0].internalformat,f.width=m[0].width,f.height=m[0].height,D(h),s=0;6>s;++s)E(m[s],34069+s);for(O(l,34067),R(),o.profile&&(h.stats.size=T(h.internalformat,h.type,f.width,f.height,l.genMipmaps,!0)),f.format=tt[h.internalformat],f.type=et[h.type],f.mag=rt[l.magFilter],f.min=nt[l.minFilter],f.wrapS=it[l.wrapS],f.wrapT=it[l.wrapT],s=0;6>s;++s)C(m[s]);return f}var h=new z(34067);yt[h.id]=h,a.cubeCount++;var m=Array(6);return f(e,r,n,i,s,l),f.subimage=function(t,e,r,n,i){r|=0,n|=0,i|=0;var a=v();return c(a,h),a.width=0,a.height=0,p(a,e),a.width=a.width||(h.width>>i)-r,a.height=a.height||(h.height>>i)-n,D(h),d(a,34069+t,r,n,i),R(),k(a),f},f.resize=function(e){if((e|=0)!==h.width){f.width=h.width=e,f.height=h.height=e,D(h);for(var r=0;6>r;++r)for(var n=0;h.mipmask>>n;++n)t.texImage2D(34069+r,n,h.format,e>>n,e>>n,0,h.format,h.type,null);return R(),o.profile&&(h.stats.size=T(h.internalformat,h.type,f.width,f.height,!1,!0)),f}},f._reglType="textureCube",f._texture=h,o.profile&&(f.stats=h.stats),f.destroy=function(){h.decRef()},f},clear:function(){for(var e=0;e<xt;++e)t.activeTexture(33984+e),t.bindTexture(3553,null),bt[e]=null;K(yt).forEach(F),a.cubeCount=0,a.textureCount=0},getTexture:function(t){return null},restore:function(){for(var e=0;e<xt;++e){var r=bt[e];r&&(r.bindCount=0,r.unit=-1,bt[e]=null)}K(yt).forEach((function(e){e.texture=t.createTexture(),t.bindTexture(e.target,e.texture);for(var r=0;32>r;++r)if(0!=(e.mipmask&1<<r))if(3553===e.target)t.texImage2D(3553,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;6>n;++n)t.texImage2D(34069+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);O(e.texInfo,e.target)}))},refresh:function(){for(var e=0;e<xt;++e){var r=bt[e];r&&(r.bindCount=0,r.unit=-1,bt[e]=null),t.activeTexture(33984+e),t.bindTexture(3553,null),t.bindTexture(34067,null)}}}}function A(t,e,r,n,i,a){function o(t,e,r){this.target=t,this.texture=e,this.renderbuffer=r;var n=t=0;e?(t=e.width,n=e.height):r&&(t=r.width,n=r.height),this.width=t,this.height=n}function s(t){t&&(t.texture&&t.texture._texture.decRef(),t.renderbuffer&&t.renderbuffer._renderbuffer.decRef())}function l(t,e,r){t&&(t.texture?t.texture._texture.refCount+=1:t.renderbuffer._renderbuffer.refCount+=1)}function c(e,r){r&&(r.texture?t.framebufferTexture2D(36160,e,r.target,r.texture._texture.texture,0):t.framebufferRenderbuffer(36160,e,36161,r.renderbuffer._renderbuffer.renderbuffer))}function u(t){var e=3553,r=null,n=null,i=t;return"object"==typeof t&&(i=t.data,"target"in t&&(e=0|t.target)),"texture2d"===(t=i._reglType)||"textureCube"===t?r=i:"renderbuffer"===t&&(n=i,e=36161),new o(e,r,n)}function f(t,e,r,a,s){return r?((t=n.create2D({width:t,height:e,format:a,type:s}))._texture.refCount=0,new o(3553,t,null)):((t=i.create({width:t,height:e,format:a}))._renderbuffer.refCount=0,new o(36161,null,t))}function h(t){return t&&(t.texture||t.renderbuffer)}function p(t,e,r){t&&(t.texture?t.texture.resize(e,r):t.renderbuffer&&t.renderbuffer.resize(e,r),t.width=e,t.height=r)}function d(){this.id=T++,k[this.id]=this,this.framebuffer=t.createFramebuffer(),this.height=this.width=0,this.colorAttachments=[],this.depthStencilAttachment=this.stencilAttachment=this.depthAttachment=null}function m(t){t.colorAttachments.forEach(s),s(t.depthAttachment),s(t.stencilAttachment),s(t.depthStencilAttachment)}function g(e){t.deleteFramebuffer(e.framebuffer),e.framebuffer=null,a.framebufferCount--,delete k[e.id]}function v(e){var n;t.bindFramebuffer(36160,e.framebuffer);var i=e.colorAttachments;for(n=0;n<i.length;++n)c(36064+n,i[n]);for(n=i.length;n<r.maxColorAttachments;++n)t.framebufferTexture2D(36160,36064+n,3553,null,0);t.framebufferTexture2D(36160,33306,3553,null,0),t.framebufferTexture2D(36160,36096,3553,null,0),t.framebufferTexture2D(36160,36128,3553,null,0),c(36096,e.depthAttachment),c(36128,e.stencilAttachment),c(33306,e.depthStencilAttachment),t.checkFramebufferStatus(36160),t.isContextLost(),t.bindFramebuffer(36160,x.next?x.next.framebuffer:null),x.cur=x.next,t.getError()}function y(t,e){function r(t,e){var i,a=0,o=0,s=!0,c=!0;i=null;var p=!0,d="rgba",g="uint8",y=1,x=null,w=null,T=null,k=!1;"number"==typeof t?(a=0|t,o=0|e||a):t?("shape"in t?(a=(o=t.shape)[0],o=o[1]):("radius"in t&&(a=o=t.radius),"width"in t&&(a=t.width),"height"in t&&(o=t.height)),("color"in t||"colors"in t)&&(i=t.color||t.colors,Array.isArray(i)),i||("colorCount"in t&&(y=0|t.colorCount),"colorTexture"in t&&(p=!!t.colorTexture,d="rgba4"),"colorType"in t&&(g=t.colorType,!p)&&("half float"===g||"float16"===g?d="rgba16f":"float"!==g&&"float32"!==g||(d="rgba32f")),"colorFormat"in t&&(d=t.colorFormat,0<=b.indexOf(d)?p=!0:0<=_.indexOf(d)&&(p=!1))),("depthTexture"in t||"depthStencilTexture"in t)&&(k=!(!t.depthTexture&&!t.depthStencilTexture)),"depth"in t&&("boolean"==typeof t.depth?s=t.depth:(x=t.depth,c=!1)),"stencil"in t&&("boolean"==typeof t.stencil?c=t.stencil:(w=t.stencil,s=!1)),"depthStencil"in t&&("boolean"==typeof t.depthStencil?s=c=t.depthStencil:(T=t.depthStencil,c=s=!1))):a=o=1;var A=null,M=null,S=null,E=null;if(Array.isArray(i))A=i.map(u);else if(i)A=[u(i)];else for(A=Array(y),i=0;i<y;++i)A[i]=f(a,o,p,d,g);for(a=a||A[0].width,o=o||A[0].height,x?M=u(x):s&&!c&&(M=f(a,o,k,"depth","uint32")),w?S=u(w):c&&!s&&(S=f(a,o,!1,"stencil","uint8")),T?E=u(T):!x&&!w&&c&&s&&(E=f(a,o,k,"depth stencil","depth stencil")),s=null,i=0;i<A.length;++i)l(A[i]),A[i]&&A[i].texture&&(c=wt[A[i].texture._texture.format]*Tt[A[i].texture._texture.type],null===s&&(s=c));return l(M),l(S),l(E),m(n),n.width=a,n.height=o,n.colorAttachments=A,n.depthAttachment=M,n.stencilAttachment=S,n.depthStencilAttachment=E,r.color=A.map(h),r.depth=h(M),r.stencil=h(S),r.depthStencil=h(E),r.width=n.width,r.height=n.height,v(n),r}var n=new d;return a.framebufferCount++,r(t,e),H(r,{resize:function(t,e){var i=Math.max(0|t,1),a=Math.max(0|e||i,1);if(i===n.width&&a===n.height)return r;for(var o=n.colorAttachments,s=0;s<o.length;++s)p(o[s],i,a);return p(n.depthAttachment,i,a),p(n.stencilAttachment,i,a),p(n.depthStencilAttachment,i,a),n.width=r.width=i,n.height=r.height=a,v(n),r},_reglType:"framebuffer",_framebuffer:n,destroy:function(){g(n),m(n)},use:function(t){x.setFBO({framebuffer:r},t)}})}var x={cur:null,next:null,dirty:!1,setFBO:null},b=["rgba"],_=["rgba4","rgb565","rgb5 a1"];e.ext_srgb&&_.push("srgba"),e.ext_color_buffer_half_float&&_.push("rgba16f","rgb16f"),e.webgl_color_buffer_float&&_.push("rgba32f");var w=["uint8"];e.oes_texture_half_float&&w.push("half float","float16"),e.oes_texture_float&&w.push("float","float32");var T=0,k={};return H(x,{getFramebuffer:function(t){return"function"==typeof t&&"framebuffer"===t._reglType&&(t=t._framebuffer)instanceof d?t:null},create:y,createCube:function(t){function e(t){var i,a={color:null},o=0,s=null;i="rgba";var l="uint8",c=1;if("number"==typeof t?o=0|t:t?("shape"in t?o=t.shape[0]:("radius"in t&&(o=0|t.radius),"width"in t?o=0|t.width:"height"in t&&(o=0|t.height)),("color"in t||"colors"in t)&&(s=t.color||t.colors,Array.isArray(s)),s||("colorCount"in t&&(c=0|t.colorCount),"colorType"in t&&(l=t.colorType),"colorFormat"in t&&(i=t.colorFormat)),"depth"in t&&(a.depth=t.depth),"stencil"in t&&(a.stencil=t.stencil),"depthStencil"in t&&(a.depthStencil=t.depthStencil)):o=1,s)if(Array.isArray(s))for(t=[],i=0;i<s.length;++i)t[i]=s[i];else t=[s];else for(t=Array(c),s={radius:o,format:i,type:l},i=0;i<c;++i)t[i]=n.createCube(s);for(a.color=Array(t.length),i=0;i<t.length;++i)c=t[i],o=o||c.width,a.color[i]={target:34069,data:t[i]};for(i=0;6>i;++i){for(c=0;c<t.length;++c)a.color[c].target=34069+i;0<i&&(a.depth=r[0].depth,a.stencil=r[0].stencil,a.depthStencil=r[0].depthStencil),r[i]?r[i](a):r[i]=y(a)}return H(e,{width:o,height:o,color:t})}var r=Array(6);return e(t),H(e,{faces:r,resize:function(t){var n=0|t;if(n===e.width)return e;var i=e.color;for(t=0;t<i.length;++t)i[t].resize(n);for(t=0;6>t;++t)r[t].resize(n);return e.width=e.height=n,e},_reglType:"framebufferCube",destroy:function(){r.forEach((function(t){t.destroy()}))}})},clear:function(){K(k).forEach(g)},restore:function(){x.cur=null,x.next=null,x.dirty=!0,K(k).forEach((function(e){e.framebuffer=t.createFramebuffer(),v(e)}))}})}function M(){this.w=this.z=this.y=this.x=this.state=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=5126,this.divisor=this.stride=this.offset=0}function S(t,e,r,n,i,a,o){function s(){this.id=++f,this.attributes=[],this.elements=null,this.ownsElements=!1,this.offset=this.count=0,this.instances=-1,this.primitive=4;var t=e.oes_vertex_array_object;this.vao=t?t.createVertexArrayOES():null,h[this.id]=this,this.buffers=[]}var c=r.maxAttributes,u=Array(c);for(r=0;r<c;++r)u[r]=new M;var f=0,h={},p={Record:M,scope:{},state:u,currentVAO:null,targetVAO:null,restore:e.oes_vertex_array_object?function(){e.oes_vertex_array_object&&K(h).forEach((function(t){t.refresh()}))}:function(){},createVAO:function(t){function e(t){var n;Array.isArray(t)?(n=t,r.elements&&r.ownsElements&&r.elements.destroy(),r.elements=null,r.ownsElements=!1,r.offset=0,r.count=0,r.instances=-1,r.primitive=4):(t.elements?(n=t.elements,r.ownsElements?("function"==typeof n&&"elements"===n._reglType?r.elements.destroy():r.elements(n),r.ownsElements=!1):a.getElements(t.elements)?(r.elements=t.elements,r.ownsElements=!1):(r.elements=a.create(t.elements),r.ownsElements=!0)):(r.elements=null,r.ownsElements=!1),n=t.attributes,r.offset=0,r.count=-1,r.instances=-1,r.primitive=4,r.elements&&(r.count=r.elements._elements.vertCount,r.primitive=r.elements._elements.primType),"offset"in t&&(r.offset=0|t.offset),"count"in t&&(r.count=0|t.count),"instances"in t&&(r.instances=0|t.instances),"primitive"in t&&(r.primitive=at[t.primitive])),t={};var o=r.attributes;o.length=n.length;for(var s=0;s<n.length;++s){var c,u=n[s],f=o[s]=new M,h=u.data||u;if(Array.isArray(h)||J(h)||l(h))r.buffers[s]&&(c=r.buffers[s],J(h)&&c._buffer.byteLength>=h.byteLength?c.subdata(h):(c.destroy(),r.buffers[s]=null)),r.buffers[s]||(c=r.buffers[s]=i.create(u,34962,!1,!0)),f.buffer=i.getBuffer(c),f.size=0|f.buffer.dimension,f.normalized=!1,f.type=f.buffer.dtype,f.offset=0,f.stride=0,f.divisor=0,f.state=1,t[s]=1;else i.getBuffer(u)?(f.buffer=i.getBuffer(u),f.size=0|f.buffer.dimension,f.normalized=!1,f.type=f.buffer.dtype,f.offset=0,f.stride=0,f.divisor=0,f.state=1):i.getBuffer(u.buffer)?(f.buffer=i.getBuffer(u.buffer),f.size=0|(+u.size||f.buffer.dimension),f.normalized=!!u.normalized||!1,f.type="type"in u?tt[u.type]:f.buffer.dtype,f.offset=0|(u.offset||0),f.stride=0|(u.stride||0),f.divisor=0|(u.divisor||0),f.state=1):"x"in u&&(f.x=+u.x||0,f.y=+u.y||0,f.z=+u.z||0,f.w=+u.w||0,f.state=2)}for(c=0;c<r.buffers.length;++c)!t[c]&&r.buffers[c]&&(r.buffers[c].destroy(),r.buffers[c]=null);return r.refresh(),e}var r=new s;return n.vaoCount+=1,e.destroy=function(){for(var t=0;t<r.buffers.length;++t)r.buffers[t]&&r.buffers[t].destroy();r.buffers.length=0,r.ownsElements&&(r.elements.destroy(),r.elements=null,r.ownsElements=!1),r.destroy()},e._vao=r,e._reglType="vao",e(t)},getVAO:function(t){return"function"==typeof t&&t._vao?t._vao:null},destroyBuffer:function(e){for(var r=0;r<u.length;++r){var n=u[r];n.buffer===e&&(t.disableVertexAttribArray(r),n.buffer=null)}},setVAO:e.oes_vertex_array_object?function(t){if(t!==p.currentVAO){var r=e.oes_vertex_array_object;t?r.bindVertexArrayOES(t.vao):r.bindVertexArrayOES(null),p.currentVAO=t}}:function(r){if(r!==p.currentVAO){if(r)r.bindAttrs();else{for(var n=e.angle_instanced_arrays,i=0;i<u.length;++i){var a=u[i];a.buffer?(t.enableVertexAttribArray(i),a.buffer.bind(),t.vertexAttribPointer(i,a.size,a.type,a.normalized,a.stride,a.offfset),n&&a.divisor&&n.vertexAttribDivisorANGLE(i,a.divisor)):(t.disableVertexAttribArray(i),t.vertexAttrib4f(i,a.x,a.y,a.z,a.w))}o.elements?t.bindBuffer(34963,o.elements.buffer.buffer):t.bindBuffer(34963,null)}p.currentVAO=r}},clear:e.oes_vertex_array_object?function(){K(h).forEach((function(t){t.destroy()}))}:function(){}};return s.prototype.bindAttrs=function(){for(var r=e.angle_instanced_arrays,n=this.attributes,i=0;i<n.length;++i){var o=n[i];o.buffer?(t.enableVertexAttribArray(i),t.bindBuffer(34962,o.buffer.buffer),t.vertexAttribPointer(i,o.size,o.type,o.normalized,o.stride,o.offset),r&&o.divisor&&r.vertexAttribDivisorANGLE(i,o.divisor)):(t.disableVertexAttribArray(i),t.vertexAttrib4f(i,o.x,o.y,o.z,o.w))}for(r=n.length;r<c;++r)t.disableVertexAttribArray(r);(r=a.getElements(this.elements))?t.bindBuffer(34963,r.buffer.buffer):t.bindBuffer(34963,null)},s.prototype.refresh=function(){var t=e.oes_vertex_array_object;t&&(t.bindVertexArrayOES(this.vao),this.bindAttrs(),p.currentVAO=null,t.bindVertexArrayOES(null))},s.prototype.destroy=function(){if(this.vao){var t=e.oes_vertex_array_object;this===p.currentVAO&&(p.currentVAO=null,t.bindVertexArrayOES(null)),t.deleteVertexArrayOES(this.vao),this.vao=null}this.ownsElements&&(this.elements.destroy(),this.elements=null,this.ownsElements=!1),h[this.id]&&(delete h[this.id],--n.vaoCount)},p}function E(t,e,r,n){function i(t,e,r,n){this.name=t,this.id=e,this.location=r,this.info=n}function a(t,e){for(var r=0;r<t.length;++r)if(t[r].id===e.id)return void(t[r].location=e.location);t.push(e)}function o(r,n,i){if(!(o=(i=35632===r?c:u)[n])){var a=e.str(n),o=t.createShader(r);t.shaderSource(o,a),t.compileShader(o),i[n]=o}return o}function s(t,e){this.id=p++,this.fragId=t,this.vertId=e,this.program=null,this.uniforms=[],this.attributes=[],this.refCount=1,n.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function l(r,s,l){var c;c=o(35632,r.fragId);var u=o(35633,r.vertId);if(s=r.program=t.createProgram(),t.attachShader(s,c),t.attachShader(s,u),l)for(c=0;c<l.length;++c)u=l[c],t.bindAttribLocation(s,u[0],u[1]);t.linkProgram(s),u=t.getProgramParameter(s,35718),n.profile&&(r.stats.uniformsCount=u);var f=r.uniforms;for(c=0;c<u;++c)if(l=t.getActiveUniform(s,c))if(1<l.size)for(var h=0;h<l.size;++h){var p=l.name.replace("[0]","["+h+"]");a(f,new i(p,e.id(p),t.getUniformLocation(s,p),l))}else a(f,new i(l.name,e.id(l.name),t.getUniformLocation(s,l.name),l));for(u=t.getProgramParameter(s,35721),n.profile&&(r.stats.attributesCount=u),r=r.attributes,c=0;c<u;++c)(l=t.getActiveAttrib(s,c))&&a(r,new i(l.name,e.id(l.name),t.getAttribLocation(s,l.name),l))}var c={},u={},f={},h=[],p=0;return n.profile&&(r.getMaxUniformsCount=function(){var t=0;return h.forEach((function(e){e.stats.uniformsCount>t&&(t=e.stats.uniformsCount)})),t},r.getMaxAttributesCount=function(){var t=0;return h.forEach((function(e){e.stats.attributesCount>t&&(t=e.stats.attributesCount)})),t}),{clear:function(){var e=t.deleteShader.bind(t);K(c).forEach(e),c={},K(u).forEach(e),u={},h.forEach((function(e){t.deleteProgram(e.program)})),h.length=0,f={},r.shaderCount=0},program:function(e,n,i,a){var o=f[n];o||(o=f[n]={});var p=o[e];if(p&&(p.refCount++,!a))return p;var d=new s(n,e);return r.shaderCount++,l(d,i,a),p||(o[e]=d),h.push(d),H(d,{destroy:function(){if(d.refCount--,0>=d.refCount){t.deleteProgram(d.program);var e=h.indexOf(d);h.splice(e,1),r.shaderCount--}0>=o[d.vertId].refCount&&(t.deleteShader(u[d.vertId]),delete u[d.vertId],delete f[d.fragId][d.vertId]),Object.keys(f[d.fragId]).length||(t.deleteShader(c[d.fragId]),delete c[d.fragId],delete f[d.fragId])}})},restore:function(){c={},u={};for(var t=0;t<h.length;++t)l(h[t],null,h[t].attributes.map((function(t){return[t.location,t.name]})))},shader:o,frag:-1,vert:-1}}function L(t,e,r,n,i,a,o){function s(i){var a;a=null===e.next?5121:e.next.colorAttachments[0].texture._texture.type;var o=0,s=0,l=n.framebufferWidth,c=n.framebufferHeight,u=null;return J(i)?u=i:i&&(o=0|i.x,s=0|i.y,l=0|(i.width||n.framebufferWidth-o),c=0|(i.height||n.framebufferHeight-s),u=i.data||null),r(),i=l*c*4,u||(5121===a?u=new Uint8Array(i):5126===a&&(u=u||new Float32Array(i))),t.pixelStorei(3333,4),t.readPixels(o,s,l,c,6408,a,u),u}return function(t){return t&&"framebuffer"in t?function(t){var r;return e.setFBO({framebuffer:t.framebuffer},(function(){r=s(t)})),r}(t):s(t)}}function C(t,e){return t>>>e|t<<32-e}function P(t,e){var r=(65535&t)+(65535&e);return(t>>16)+(e>>16)+(r>>16)<<16|65535&r}function I(t){return Array.prototype.slice.call(t)}function O(t){return I(t).join("")}function z(t){function e(){var t=[],e=[];return H((function(){t.push.apply(t,I(arguments))}),{def:function(){var r="v"+i++;return e.push(r),0<arguments.length&&(t.push(r,"="),t.push.apply(t,I(arguments)),t.push(";")),r},toString:function(){return O([0<e.length?"var "+e.join(",")+";":"",O(t)])}})}function r(){function t(t,e){n(t,e,"=",r.def(t,e),";")}var r=e(),n=e(),i=r.toString,a=n.toString;return H((function(){r.apply(r,I(arguments))}),{def:r.def,entry:r,exit:n,save:t,set:function(e,n,i){t(e,n),r(e,n,"=",i,";")},toString:function(){return i()+a()}})}var n=t&&t.cache,i=0,a=[],o=[],s=[],l=e(),c={};return{global:l,link:function(t,e){var r=e&&e.stable;if(!r)for(var n=0;n<o.length;++n)if(o[n]===t&&!s[n])return a[n];return n="g"+i++,a.push(n),o.push(t),s.push(r),n},block:e,proc:function(t,e){function n(){var t="a"+i.length;return i.push(t),t}var i=[];e=e||0;for(var a=0;a<e;++a)n();var o=(a=r()).toString;return c[t]=H(a,{arg:n,toString:function(){return O(["function(",i.join(),"){",o(),"}"])}})},scope:r,cond:function(){var t=O(arguments),e=r(),n=r(),i=e.toString,a=n.toString;return H(e,{then:function(){return e.apply(e,I(arguments)),this},else:function(){return n.apply(n,I(arguments)),this},toString:function(){var e=a();return e&&(e="else{"+e+"}"),O(["if(",t,"){",i(),"}",e])}})},compile:function(){var t=['"use strict";',l,"return {"];Object.keys(c).forEach((function(e){t.push('"',e,'":',c[e].toString(),",")})),t.push("}");var e,r=O(t).replace(/;/g,";\n").replace(/}/g,"}\n").replace(/{/g,"{\n");return n&&(e=function(t){for(var e,r="",n=0;n<t.length;n++)e=t.charCodeAt(n),r+="0123456789abcdef".charAt(e>>>4&15)+"0123456789abcdef".charAt(15&e);return r}(function(t){for(var e=Array(t.length>>2),r=0;r<e.length;r++)e[r]=0;for(r=0;r<8*t.length;r+=8)e[r>>5]|=(255&t.charCodeAt(r/8))<<24-r%32;var n,i,a,o,s,l,c,u,f,h,p,d=8*t.length;for(t=[1779033703,-1150833019,1013904242,-1521486534,1359893119,-1694144372,528734635,1541459225],r=Array(64),e[d>>5]|=128<<24-d%32,e[15+(d+64>>9<<4)]=d,u=0;u<e.length;u+=16){for(d=t[0],n=t[1],i=t[2],a=t[3],o=t[4],s=t[5],l=t[6],c=t[7],f=0;64>f;f++){var m;if(16>f)r[f]=e[f+u];else h=f,p=P(p=C(p=r[f-2],17)^C(p,19)^p>>>10,r[f-7]),m=C(m=r[f-15],7)^C(m,18)^m>>>3,r[h]=P(P(p,m),r[f-16]);h=P(P(P(P(c,h=C(h=o,6)^C(h,11)^C(h,25)),o&s^~o&l),kt[f]),r[f]),p=P(c=C(c=d,2)^C(c,13)^C(c,22),d&n^d&i^n&i),c=l,l=s,s=o,o=P(a,h),a=i,i=n,n=d,d=P(h,p)}t[0]=P(d,t[0]),t[1]=P(n,t[1]),t[2]=P(i,t[2]),t[3]=P(a,t[3]),t[4]=P(o,t[4]),t[5]=P(s,t[5]),t[6]=P(l,t[6]),t[7]=P(c,t[7])}for(e="",r=0;r<32*t.length;r+=8)e+=String.fromCharCode(t[r>>5]>>>24-r%32&255);return e}(function(t){for(var e,r,n="",i=-1;++i<t.length;)e=t.charCodeAt(i),r=i+1<t.length?t.charCodeAt(i+1):0,55296<=e&&56319>=e&&56320<=r&&57343>=r&&(e=65536+((1023&e)<<10)+(1023&r),i++),127>=e?n+=String.fromCharCode(e):2047>=e?n+=String.fromCharCode(192|e>>>6&31,128|63&e):65535>=e?n+=String.fromCharCode(224|e>>>12&15,128|e>>>6&63,128|63&e):2097151>=e&&(n+=String.fromCharCode(240|e>>>18&7,128|e>>>12&63,128|e>>>6&63,128|63&e));return n}(r))),n[e])?n[e].apply(null,o):(r=Function.apply(null,a.concat(r)),n&&(n[e]=r),r.apply(null,o))}}}function D(t){return Array.isArray(t)||J(t)||l(t)}function R(t){return t.sort((function(t,e){return"viewport"===t?-1:"viewport"===e?1:t<e?-1:1}))}function F(t,e,r,n){this.thisDep=t,this.contextDep=e,this.propDep=r,this.append=n}function B(t){return t&&!(t.thisDep||t.contextDep||t.propDep)}function N(t){return new F(!1,!1,!1,t)}function j(t,e){var r=t.type;if(0===r)return new F(!0,1<=(r=t.data.length),2<=r,e);if(4===r)return new F((r=t.data).thisDep,r.contextDep,r.propDep,e);if(5===r)return new F(!1,!1,!1,e);if(6===r){for(var n=r=!1,i=!1,a=0;a<t.data.length;++a){var o=t.data[a];1===o.type?i=!0:2===o.type?n=!0:3===o.type?r=!0:0===o.type?(r=!0,1<=(o=o.data)&&(n=!0),2<=o&&(i=!0)):4===o.type&&(r=r||o.data.thisDep,n=n||o.data.contextDep,i=i||o.data.propDep)}return new F(r,n,i,e)}return new F(3===r,2===r,1===r,e)}function U(t,e,r,n,i,o,s,l,c,u,f,h,p,d,m,v){function y(t){return t.replace(".","_")}function x(t,e,r){var n=y(t);ot.push(t),it[n]=nt[n]=!!r,st[n]=e}function b(t,e,r){var n=y(t);ot.push(t),Array.isArray(r)?(nt[n]=r.slice(),it[n]=r.slice()):nt[n]=it[n]=r,lt[n]=e}function _(){var t=z({cache:m}),r=t.link,n=t.global;t.id=ft++,t.batchId="0";var i=r(ct),a=t.shared={props:"a0"};Object.keys(ct).forEach((function(t){a[t]=n.def(i,".",t)}));var o=t.next={},s=t.current={};Object.keys(lt).forEach((function(t){Array.isArray(nt[t])&&(o[t]=n.def(a.next,".",t),s[t]=n.def(a.current,".",t))}));var l=t.constants={};Object.keys(ut).forEach((function(t){l[t]=n.def(JSON.stringify(ut[t]))})),t.invoke=function(e,n){switch(n.type){case 0:var i=["this",a.context,a.props,t.batchId];return e.def(r(n.data),".call(",i.slice(0,Math.max(n.data.length+1,4)),")");case 1:return e.def(a.props,n.data);case 2:return e.def(a.context,n.data);case 3:return e.def("this",n.data);case 4:return n.data.append(t,e),n.data.ref;case 5:return n.data.toString();case 6:return n.data.map((function(r){return t.invoke(e,r)}))}},t.attribCache={};var c={};return t.scopeAttrib=function(t){if((t=e.id(t))in c)return c[t];var n=u.scope[t];return n||(n=u.scope[t]=new K),c[t]=r(n)},t}function w(t,e){var r=t.static,n=t.dynamic;if("framebuffer"in r){var i=r.framebuffer;return i?(i=l.getFramebuffer(i),N((function(t,e){var r=t.link(i),n=t.shared;return e.set(n.framebuffer,".next",r),n=n.context,e.set(n,".framebufferWidth",r+".width"),e.set(n,".framebufferHeight",r+".height"),r}))):N((function(t,e){var r=t.shared;return e.set(r.framebuffer,".next","null"),r=r.context,e.set(r,".framebufferWidth",r+".drawingBufferWidth"),e.set(r,".framebufferHeight",r+".drawingBufferHeight"),"null"}))}if("framebuffer"in n){var a=n.framebuffer;return j(a,(function(t,e){var r=t.invoke(e,a),n=t.shared,i=n.framebuffer;r=e.def(i,".getFramebuffer(",r,")");return e.set(i,".next",r),n=n.context,e.set(n,".framebufferWidth",r+"?"+r+".width:"+n+".drawingBufferWidth"),e.set(n,".framebufferHeight",r+"?"+r+".height:"+n+".drawingBufferHeight"),r}))}return null}function T(t,r,n){function i(t){if(t in a){var r=e.id(a[t]);return(t=N((function(){return r}))).id=r,t}if(t in o){var n=o[t];return j(n,(function(t,e){var r=t.invoke(e,n);return e.def(t.shared.strings,".id(",r,")")}))}return null}var a=t.static,o=t.dynamic,s=i("frag"),l=i("vert"),c=null;return B(s)&&B(l)?(c=f.program(l.id,s.id,null,n),t=N((function(t,e){return t.link(c)}))):t=new F(s&&s.thisDep||l&&l.thisDep,s&&s.contextDep||l&&l.contextDep,s&&s.propDep||l&&l.propDep,(function(t,e){var r,n,i=t.shared.shader;return r=s?s.append(t,e):e.def(i,".","frag"),n=l?l.append(t,e):e.def(i,".","vert"),e.def(i+".program("+n+","+r+")")})),{frag:s,vert:l,progVar:t,program:c}}function k(t,e){function r(t,e){if(t in n){var r=0|n[t];return e?a.offset=r:a.instances=r,N((function(t,n){return e&&(t.OFFSET=r),r}))}if(t in i){var o=i[t];return j(o,(function(t,r){var n=t.invoke(r,o);return e&&(t.OFFSET=n),n}))}if(e){if(c)return N((function(t,e){return t.OFFSET=0}));if(s)return new F(l.thisDep,l.contextDep,l.propDep,(function(t,e){return e.def(t.shared.vao+".currentVAO?"+t.shared.vao+".currentVAO.offset:0")}))}else if(s)return new F(l.thisDep,l.contextDep,l.propDep,(function(t,e){return e.def(t.shared.vao+".currentVAO?"+t.shared.vao+".currentVAO.instances:-1")}));return null}var n=t.static,i=t.dynamic,a={},s=!1,l=function(){if("vao"in n){var t=n.vao;return null!==t&&null===u.getVAO(t)&&(t=u.createVAO(t)),s=!0,a.vao=t,N((function(e){var r=u.getVAO(t);return r?e.link(r):"null"}))}if("vao"in i){s=!0;var e=i.vao;return j(e,(function(t,r){var n=t.invoke(r,e);return r.def(t.shared.vao+".getVAO("+n+")")}))}return null}(),c=!1,f=function(){if("elements"in n){var t=n.elements;if(a.elements=t,D(t)){var e=a.elements=o.create(t,!0);t=o.getElements(e);c=!0}else t&&(t=o.getElements(t),c=!0);return(e=N((function(e,r){if(t){var n=e.link(t);return e.ELEMENTS=n}return e.ELEMENTS=null}))).value=t,e}if("elements"in i){c=!0;var r=i.elements;return j(r,(function(t,e){var n=(i=t.shared).isBufferArgs,i=i.elements,a=t.invoke(e,r),o=e.def("null");n=e.def(n,"(",a,")"),a=t.cond(n).then(o,"=",i,".createStream(",a,");").else(o,"=",i,".getElements(",a,");");return e.entry(a),e.exit(t.cond(n).then(i,".destroyStream(",o,");")),t.ELEMENTS=o}))}return s?new F(l.thisDep,l.contextDep,l.propDep,(function(t,e){return e.def(t.shared.vao+".currentVAO?"+t.shared.elements+".getElements("+t.shared.vao+".currentVAO.elements):null")})):null}(),h=r("offset",!0),p=function(){if("primitive"in n){var t=n.primitive;return a.primitive=t,N((function(e,r){return at[t]}))}if("primitive"in i){var e=i.primitive;return j(e,(function(t,r){var n=t.constants.primTypes,i=t.invoke(r,e);return r.def(n,"[",i,"]")}))}return c?B(f)?f.value?N((function(t,e){return e.def(t.ELEMENTS,".primType")})):N((function(){return 4})):new F(f.thisDep,f.contextDep,f.propDep,(function(t,e){var r=t.ELEMENTS;return e.def(r,"?",r,".primType:",4)})):s?new F(l.thisDep,l.contextDep,l.propDep,(function(t,e){return e.def(t.shared.vao+".currentVAO?"+t.shared.vao+".currentVAO.primitive:4")})):null}(),d=function(){if("count"in n){var t=0|n.count;return a.count=t,N((function(){return t}))}if("count"in i){var e=i.count;return j(e,(function(t,r){return t.invoke(r,e)}))}return c?B(f)?f?h?new F(h.thisDep,h.contextDep,h.propDep,(function(t,e){return e.def(t.ELEMENTS,".vertCount-",t.OFFSET)})):N((function(t,e){return e.def(t.ELEMENTS,".vertCount")})):N((function(){return-1})):new F(f.thisDep||h.thisDep,f.contextDep||h.contextDep,f.propDep||h.propDep,(function(t,e){var r=t.ELEMENTS;return t.OFFSET?e.def(r,"?",r,".vertCount-",t.OFFSET,":-1"):e.def(r,"?",r,".vertCount:-1")})):s?new F(l.thisDep,l.contextDep,l.propDep,(function(t,e){return e.def(t.shared.vao,".currentVAO?",t.shared.vao,".currentVAO.count:-1")})):null}(),m=r("instances",!1);return{elements:f,primitive:p,count:d,instances:m,offset:h,vao:l,vaoActive:s,elementsActive:c,static:a}}function A(t,r){var n=t.static,a=t.dynamic,o={};return Object.keys(n).forEach((function(t){var r=n[t],a=e.id(t),s=new K;if(D(r))s.state=1,s.buffer=i.getBuffer(i.create(r,34962,!1,!0)),s.type=0;else if(c=i.getBuffer(r))s.state=1,s.buffer=c,s.type=0;else if("constant"in r){var l=r.constant;s.buffer="null",s.state=2,"number"==typeof l?s.x=l:At.forEach((function(t,e){e<l.length&&(s[t]=l[e])}))}else{var c=D(r.buffer)?i.getBuffer(i.create(r.buffer,34962,!1,!0)):i.getBuffer(r.buffer),u=0|r.offset,f=0|r.stride,h=0|r.size,p=!!r.normalized,d=0;"type"in r&&(d=tt[r.type]),r=0|r.divisor,s.buffer=c,s.state=1,s.size=h,s.normalized=p,s.type=d||c.dtype,s.offset=u,s.stride=f,s.divisor=r}o[t]=N((function(t,e){var r=t.attribCache;if(a in r)return r[a];var n={isStream:!1};return Object.keys(s).forEach((function(t){n[t]=s[t]})),s.buffer&&(n.buffer=t.link(s.buffer),n.type=n.type||n.buffer+".dtype"),r[a]=n}))})),Object.keys(a).forEach((function(t){var e=a[t];o[t]=j(e,(function(t,r){function n(t){r(l[t],"=",i,".",t,"|0;")}var i=t.invoke(r,e),a=t.shared,o=t.constants,s=a.isBufferArgs,l=(a=a.buffer,{isStream:r.def(!1)}),c=new K;c.state=1,Object.keys(c).forEach((function(t){l[t]=r.def(""+c[t])}));var u=l.buffer,f=l.type;return r("if(",s,"(",i,")){",l.isStream,"=true;",u,"=",a,".createStream(",34962,",",i,");",f,"=",u,".dtype;","}else{",u,"=",a,".getBuffer(",i,");","if(",u,"){",f,"=",u,".dtype;",'}else if("constant" in ',i,"){",l.state,"=",2,";","if(typeof "+i+'.constant === "number"){',l[At[0]],"=",i,".constant;",At.slice(1).map((function(t){return l[t]})).join("="),"=0;","}else{",At.map((function(t,e){return l[t]+"="+i+".constant.length>"+e+"?"+i+".constant["+e+"]:0;"})).join(""),"}}else{","if(",s,"(",i,".buffer)){",u,"=",a,".createStream(",34962,",",i,".buffer);","}else{",u,"=",a,".getBuffer(",i,".buffer);","}",f,'="type" in ',i,"?",o.glTypes,"[",i,".type]:",u,".dtype;",l.normalized,"=!!",i,".normalized;"),n("size"),n("offset"),n("stride"),n("divisor"),r("}}"),r.exit("if(",l.isStream,"){",a,".destroyStream(",u,");","}"),l}))})),o}function M(t,e,n,i,o){function s(t){var e=c[t];e&&(h[t]=e)}var l=function(t,e){if("string"==typeof(r=t.static).frag&&"string"==typeof r.vert){if(0<Object.keys(e.dynamic).length)return null;var r=e.static,n=Object.keys(r);if(0<n.length&&"number"==typeof r[n[0]]){for(var i=[],a=0;a<n.length;++a)i.push([0|r[n[a]],n[a]]);return i}}return null}(t,e),c=function(t,e,r){function n(t){if(t in i){var r=i[t];t=!0;var n,o,s=0|r.x,l=0|r.y;return"width"in r?n=0|r.width:t=!1,"height"in r?o=0|r.height:t=!1,new F(!t&&e&&e.thisDep,!t&&e&&e.contextDep,!t&&e&&e.propDep,(function(t,e){var i=t.shared.context,a=n;"width"in r||(a=e.def(i,".","framebufferWidth","-",s));var c=o;return"height"in r||(c=e.def(i,".","framebufferHeight","-",l)),[s,l,a,c]}))}if(t in a){var c=a[t];return t=j(c,(function(t,e){var r=t.invoke(e,c),n=t.shared.context,i=e.def(r,".x|0"),a=e.def(r,".y|0");return[i,a,e.def('"width" in ',r,"?",r,".width|0:","(",n,".","framebufferWidth","-",i,")"),r=e.def('"height" in ',r,"?",r,".height|0:","(",n,".","framebufferHeight","-",a,")")]})),e&&(t.thisDep=t.thisDep||e.thisDep,t.contextDep=t.contextDep||e.contextDep,t.propDep=t.propDep||e.propDep),t}return e?new F(e.thisDep,e.contextDep,e.propDep,(function(t,e){var r=t.shared.context;return[0,0,e.def(r,".","framebufferWidth"),e.def(r,".","framebufferHeight")]})):null}var i=t.static,a=t.dynamic;if(t=n("viewport")){var o=t;t=new F(t.thisDep,t.contextDep,t.propDep,(function(t,e){var r=o.append(t,e),n=t.shared.context;return e.set(n,".viewportWidth",r[2]),e.set(n,".viewportHeight",r[3]),r}))}return{viewport:t,scissor_box:n("scissor.box")}}(t,d=w(t)),f=k(t),h=function(t,e){var r=t.static,n=t.dynamic,i={};return ot.forEach((function(t){function e(e,a){if(t in r){var s=e(r[t]);i[o]=N((function(){return s}))}else if(t in n){var l=n[t];i[o]=j(l,(function(t,e){return a(t,e,t.invoke(e,l))}))}}var o=y(t);switch(t){case"cull.enable":case"blend.enable":case"dither":case"stencil.enable":case"depth.enable":case"scissor.enable":case"polygonOffset.enable":case"sample.alpha":case"sample.enable":case"depth.mask":return e((function(t){return t}),(function(t,e,r){return r}));case"depth.func":return e((function(t){return Et[t]}),(function(t,e,r){return e.def(t.constants.compareFuncs,"[",r,"]")}));case"depth.range":return e((function(t){return t}),(function(t,e,r){return[e.def("+",r,"[0]"),e=e.def("+",r,"[1]")]}));case"blend.func":return e((function(t){return[St["srcRGB"in t?t.srcRGB:t.src],St["dstRGB"in t?t.dstRGB:t.dst],St["srcAlpha"in t?t.srcAlpha:t.src],St["dstAlpha"in t?t.dstAlpha:t.dst]]}),(function(t,e,r){function n(t,n){return e.def('"',t,n,'" in ',r,"?",r,".",t,n,":",r,".",t)}t=t.constants.blendFuncs;var i=n("src","RGB"),a=n("dst","RGB"),o=(i=e.def(t,"[",i,"]"),e.def(t,"[",n("src","Alpha"),"]"));return[i,a=e.def(t,"[",a,"]"),o,t=e.def(t,"[",n("dst","Alpha"),"]")]}));case"blend.equation":return e((function(t){return"string"==typeof t?[Q[t],Q[t]]:"object"==typeof t?[Q[t.rgb],Q[t.alpha]]:void 0}),(function(t,e,r){var n=t.constants.blendEquations,i=e.def(),a=e.def();return(t=t.cond("typeof ",r,'==="string"')).then(i,"=",a,"=",n,"[",r,"];"),t.else(i,"=",n,"[",r,".rgb];",a,"=",n,"[",r,".alpha];"),e(t),[i,a]}));case"blend.color":return e((function(t){return a(4,(function(e){return+t[e]}))}),(function(t,e,r){return a(4,(function(t){return e.def("+",r,"[",t,"]")}))}));case"stencil.mask":return e((function(t){return 0|t}),(function(t,e,r){return e.def(r,"|0")}));case"stencil.func":return e((function(t){return[Et[t.cmp||"keep"],t.ref||0,"mask"in t?t.mask:-1]}),(function(t,e,r){return[t=e.def('"cmp" in ',r,"?",t.constants.compareFuncs,"[",r,".cmp]",":",7680),e.def(r,".ref|0"),e=e.def('"mask" in ',r,"?",r,".mask|0:-1")]}));case"stencil.opFront":case"stencil.opBack":return e((function(e){return["stencil.opBack"===t?1029:1028,Lt[e.fail||"keep"],Lt[e.zfail||"keep"],Lt[e.zpass||"keep"]]}),(function(e,r,n){function i(t){return r.def('"',t,'" in ',n,"?",a,"[",n,".",t,"]:",7680)}var a=e.constants.stencilOps;return["stencil.opBack"===t?1029:1028,i("fail"),i("zfail"),i("zpass")]}));case"polygonOffset.offset":return e((function(t){return[0|t.factor,0|t.units]}),(function(t,e,r){return[e.def(r,".factor|0"),e=e.def(r,".units|0")]}));case"cull.face":return e((function(t){var e=0;return"front"===t?e=1028:"back"===t&&(e=1029),e}),(function(t,e,r){return e.def(r,'==="front"?',1028,":",1029)}));case"lineWidth":return e((function(t){return t}),(function(t,e,r){return r}));case"frontFace":return e((function(t){return Ct[t]}),(function(t,e,r){return e.def(r+'==="cw"?2304:2305')}));case"colorMask":return e((function(t){return t.map((function(t){return!!t}))}),(function(t,e,r){return a(4,(function(t){return"!!"+r+"["+t+"]"}))}));case"sample.coverage":return e((function(t){return["value"in t?t.value:1,!!t.invert]}),(function(t,e,r){return[e.def('"value" in ',r,"?+",r,".value:1"),e=e.def("!!",r,".invert")]}))}})),i}(t),p=T(t,0,l);s("viewport"),s(y("scissor.box"));var d,m=0<Object.keys(h).length;if((d={framebuffer:d,draw:f,shader:p,state:h,dirty:m,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}}).profile=function(t){var e,r=t.static;if(t=t.dynamic,"profile"in r){var n=!!r.profile;(e=N((function(t,e){return n}))).enable=n}else if("profile"in t){var i=t.profile;e=j(i,(function(t,e){return t.invoke(e,i)}))}return e}(t),d.uniforms=function(t,e){var r=t.static,n=t.dynamic,i={};return Object.keys(r).forEach((function(t){var e,n=r[t];if("number"==typeof n||"boolean"==typeof n)e=N((function(){return n}));else if("function"==typeof n){var o=n._reglType;"texture2d"===o||"textureCube"===o?e=N((function(t){return t.link(n)})):"framebuffer"!==o&&"framebufferCube"!==o||(e=N((function(t){return t.link(n.color[0])})))}else g(n)&&(e=N((function(t){return t.global.def("[",a(n.length,(function(t){return n[t]})),"]")})));e.value=n,i[t]=e})),Object.keys(n).forEach((function(t){var e=n[t];i[t]=j(e,(function(t,r){return t.invoke(r,e)}))})),i}(n),d.drawVAO=d.scopeVAO=f.vao,!d.drawVAO&&p.program&&!l&&r.angle_instanced_arrays&&f.static.elements){var v=!0;if(t=p.program.attributes.map((function(t){return t=e.static[t],v=v&&!!t,t})),v&&0<t.length){var x=u.getVAO(u.createVAO({attributes:t,elements:f.static.elements}));d.drawVAO=new F(null,null,null,(function(t,e){return t.link(x)})),d.useVAO=!0}}return l?d.useVAO=!0:d.attributes=A(e),d.context=function(t){var e=t.static,r=t.dynamic,n={};return Object.keys(e).forEach((function(t){var r=e[t];n[t]=N((function(t,e){return"number"==typeof r||"boolean"==typeof r?""+r:t.link(r)}))})),Object.keys(r).forEach((function(t){var e=r[t];n[t]=j(e,(function(t,r){return t.invoke(r,e)}))})),n}(i),d}function S(t,e,r){var n=t.shared.context,i=t.scope();Object.keys(r).forEach((function(a){e.save(n,"."+a);var o=r[a].append(t,e);Array.isArray(o)?i(n,".",a,"=[",o.join(),"];"):i(n,".",a,"=",o,";")})),e(i)}function E(t,e,r,n){var i,a=(s=t.shared).gl,o=s.framebuffer;et&&(i=e.def(s.extensions,".webgl_draw_buffers"));var s=(l=t.constants).drawBuffer,l=l.backBuffer;t=r?r.append(t,e):e.def(o,".next"),n||e("if(",t,"!==",o,".cur){"),e("if(",t,"){",a,".bindFramebuffer(",36160,",",t,".framebuffer);"),et&&e(i,".drawBuffersWEBGL(",s,"[",t,".colorAttachments.length]);"),e("}else{",a,".bindFramebuffer(",36160,",null);"),et&&e(i,".drawBuffersWEBGL(",l,");"),e("}",o,".cur=",t,";"),n||e("}")}function L(t,e,r){var n=t.shared,i=n.gl,o=t.current,s=t.next,l=n.current,c=n.next,u=t.cond(l,".dirty");ot.forEach((function(e){var n,f;if(!((e=y(e))in r.state))if(e in s){n=s[e],f=o[e];var h=a(nt[e].length,(function(t){return u.def(n,"[",t,"]")}));u(t.cond(h.map((function(t,e){return t+"!=="+f+"["+e+"]"})).join("||")).then(i,".",lt[e],"(",h,");",h.map((function(t,e){return f+"["+e+"]="+t})).join(";"),";"))}else n=u.def(c,".",e),h=t.cond(n,"!==",l,".",e),u(h),e in st?h(t.cond(n).then(i,".enable(",st[e],");").else(i,".disable(",st[e],");"),l,".",e,"=",n,";"):h(i,".",lt[e],"(",n,");",l,".",e,"=",n,";")})),0===Object.keys(r.state).length&&u(l,".dirty=false;"),e(u)}function C(t,e,r,n){var i,a=t.shared,o=t.current,s=a.current,l=a.gl;R(Object.keys(r)).forEach((function(a){var c=r[a];if(!n||n(c)){var u=c.append(t,e);if(st[a]){var f=st[a];B(c)?(i=t.link(u,{stable:!0}),e(t.cond(i).then(l,".enable(",f,");").else(l,".disable(",f,");")),e(s,".",a,"=",i,";")):(e(t.cond(u).then(l,".enable(",f,");").else(l,".disable(",f,");")),e(s,".",a,"=",u,";"))}else if(g(u)){var h=o[a];e(l,".",lt[a],"(",u,");",u.map((function(t,e){return h+"["+e+"]="+t})).join(";"),";")}else B(c)?(i=t.link(u,{stable:!0}),e(l,".",lt[a],"(",i,");",s,".",a,"=",i,";")):e(l,".",lt[a],"(",u,");",s,".",a,"=",u,";")}}))}function P(t,e){$&&(t.instancing=e.def(t.shared.extensions,".angle_instanced_arrays"))}function I(t,e,r,n,i){function a(){return"undefined"==typeof performance?"Date.now()":"performance.now()"}function o(t){t(c=e.def(),"=",a(),";"),"string"==typeof i?t(h,".count+=",i,";"):t(h,".count++;"),d&&(n?t(u=e.def(),"=",m,".getNumPendingQueries();"):t(m,".beginQuery(",h,");"))}function s(t){t(h,".cpuTime+=",a(),"-",c,";"),d&&(n?t(m,".pushScopeStats(",u,",",m,".getNumPendingQueries(),",h,");"):t(m,".endQuery();"))}function l(t){var r=e.def(p,".profile");e(p,".profile=",t,";"),e.exit(p,".profile=",r,";")}var c,u,f=t.shared,h=t.stats,p=f.current,m=f.timer;if(r=r.profile){if(B(r))return void(r.enable?(o(e),s(e.exit),l("true")):l("false"));l(r=r.append(t,e))}else r=e.def(p,".profile");o(f=t.block()),e("if(",r,"){",f,"}"),s(t=t.block()),e.exit("if(",r,"){",t,"}")}function O(t,e,r,n,i){function a(r,n,i){function a(){e("if(!",u,".buffer){",l,".enableVertexAttribArray(",c,");}");var r,a=i.type;r=i.size?e.def(i.size,"||",n):n,e("if(",u,".type!==",a,"||",u,".size!==",r,"||",p.map((function(t){return u+"."+t+"!=="+i[t]})).join("||"),"){",l,".bindBuffer(",34962,",",f,".buffer);",l,".vertexAttribPointer(",[c,r,a,i.normalized,i.stride,i.offset],");",u,".type=",a,";",u,".size=",r,";",p.map((function(t){return u+"."+t+"="+i[t]+";"})).join(""),"}"),$&&(a=i.divisor,e("if(",u,".divisor!==",a,"){",t.instancing,".vertexAttribDivisorANGLE(",[c,a],");",u,".divisor=",a,";}"))}function s(){e("if(",u,".buffer){",l,".disableVertexAttribArray(",c,");",u,".buffer=null;","}if(",At.map((function(t,e){return u+"."+t+"!=="+h[e]})).join("||"),"){",l,".vertexAttrib4f(",c,",",h,");",At.map((function(t,e){return u+"."+t+"="+h[e]+";"})).join(""),"}")}var l=o.gl,c=e.def(r,".location"),u=e.def(o.attributes,"[",c,"]");r=i.state;var f=i.buffer,h=[i.x,i.y,i.z,i.w],p=["buffer","normalized","offset","stride"];1===r?a():2===r?s():(e("if(",r,"===",1,"){"),a(),e("}else{"),s(),e("}"))}var o=t.shared;n.forEach((function(n){var o,s=n.name,l=r.attributes[s];if(l){if(!i(l))return;o=l.append(t,e)}else{if(!i(Pt))return;var c=t.scopeAttrib(s);o={},Object.keys(new K).forEach((function(t){o[t]=e.def(c,".",t)}))}a(t.link(n),function(t){switch(t){case 35664:case 35667:case 35671:return 2;case 35665:case 35668:case 35672:return 3;case 35666:case 35669:case 35673:return 4;default:return 1}}(n.info.type),o)}))}function U(t,r,n,i,o,s){for(var l,c=t.shared,u=c.gl,f=0;f<i.length;++f){var h,p=(v=i[f]).name,d=v.info.type,m=n.uniforms[p],v=t.link(v)+".location";if(m){if(!o(m))continue;if(B(m)){if(p=m.value,35678===d||35680===d)r(u,".uniform1i(",v,",",(d=t.link(p._texture||p.color[0]._texture))+".bind());"),r.exit(d,".unbind();");else if(35674===d||35675===d||35676===d)m=2,35675===d?m=3:35676===d&&(m=4),r(u,".uniformMatrix",m,"fv(",v,",false,",p=t.global.def("new Float32Array(["+Array.prototype.slice.call(p)+"])"),");");else{switch(d){case 5126:l="1f";break;case 35664:l="2f";break;case 35665:l="3f";break;case 35666:l="4f";break;case 35670:case 5124:l="1i";break;case 35671:case 35667:l="2i";break;case 35672:case 35668:l="3i";break;case 35673:l="4i";break;case 35669:l="4i"}r(u,".uniform",l,"(",v,",",g(p)?Array.prototype.slice.call(p):p,");")}continue}h=m.append(t,r)}else{if(!o(Pt))continue;h=r.def(c.uniforms,"[",e.id(p),"]")}switch(35678===d?r("if(",h,"&&",h,'._reglType==="framebuffer"){',h,"=",h,".color[0];","}"):35680===d&&r("if(",h,"&&",h,'._reglType==="framebufferCube"){',h,"=",h,".color[0];","}"),p=1,d){case 35678:case 35680:d=r.def(h,"._texture"),r(u,".uniform1i(",v,",",d,".bind());"),r.exit(d,".unbind();");continue;case 5124:case 35670:l="1i";break;case 35667:case 35671:l="2i",p=2;break;case 35668:case 35672:l="3i",p=3;break;case 35669:case 35673:l="4i",p=4;break;case 5126:l="1f";break;case 35664:l="2f",p=2;break;case 35665:l="3f",p=3;break;case 35666:l="4f",p=4;break;case 35674:l="Matrix2fv";break;case 35675:l="Matrix3fv";break;case 35676:l="Matrix4fv"}if("M"===l.charAt(0)){r(u,".uniform",l,"(",v,",");v=Math.pow(d-35674+2,2);var y=t.global.def("new Float32Array(",v,")");Array.isArray(h)?r("false,(",a(v,(function(t){return y+"["+t+"]="+h[t]})),",",y,")"):r("false,(Array.isArray(",h,")||",h," instanceof Float32Array)?",h,":(",a(v,(function(t){return y+"["+t+"]="+h+"["+t+"]"})),",",y,")"),r(");")}else{if(1<p){d=[];var x=[];for(m=0;m<p;++m)Array.isArray(h)?x.push(h[m]):x.push(r.def(h+"["+m+"]")),s&&d.push(r.def());s&&r("if(!",t.batchId,"||",d.map((function(t,e){return t+"!=="+x[e]})).join("||"),"){",d.map((function(t,e){return t+"="+x[e]+";"})).join("")),r(u,".uniform",l,"(",v,",",x.join(","),");")}else s&&(d=r.def(),r("if(!",t.batchId,"||",d,"!==",h,"){",d,"=",h,";")),r(u,".uniform",l,"(",v,",",h,");");s&&r("}")}}}function V(t,e,r,n){function i(i){var a=h[i];return a?a.contextDep&&n.contextDynamic||a.propDep?a.append(t,r):a.append(t,e):e.def(f,".",i)}function a(){function t(){r(l,".drawElementsInstancedANGLE(",[d,g,v,m+"<<(("+v+"-5121)>>1)",s],");")}function e(){r(l,".drawArraysInstancedANGLE(",[d,m,g,s],");")}p&&"null"!==p?y?t():(r("if(",p,"){"),t(),r("}else{"),e(),r("}")):e()}function o(){function t(){r(u+".drawElements("+[d,g,v,m+"<<(("+v+"-5121)>>1)"]+");")}function e(){r(u+".drawArrays("+[d,m,g]+");")}p&&"null"!==p?y?t():(r("if(",p,"){"),t(),r("}else{"),e(),r("}")):e()}var s,l,c=t.shared,u=c.gl,f=c.draw,h=n.draw,p=function(){var i=h.elements,a=e;return i?((i.contextDep&&n.contextDynamic||i.propDep)&&(a=r),i=i.append(t,a),h.elementsActive&&a("if("+i+")"+u+".bindBuffer(34963,"+i+".buffer.buffer);")):(i=a.def(),a(i,"=",f,".","elements",";","if(",i,"){",u,".bindBuffer(",34963,",",i,".buffer.buffer);}","else if(",c.vao,".currentVAO){",i,"=",t.shared.elements+".getElements("+c.vao,".currentVAO.elements);",rt?"":"if("+i+")"+u+".bindBuffer(34963,"+i+".buffer.buffer);","}")),i}(),d=i("primitive"),m=i("offset"),g=function(){var i=h.count,a=e;return i?((i.contextDep&&n.contextDynamic||i.propDep)&&(a=r),i=i.append(t,a)):i=a.def(f,".","count"),i}();if("number"==typeof g){if(0===g)return}else r("if(",g,"){"),r.exit("}");$&&(s=i("instances"),l=t.instancing);var v=p+".type",y=h.elements&&B(h.elements)&&!h.vaoActive;$&&("number"!=typeof s||0<=s)?"string"==typeof s?(r("if(",s,">0){"),a(),r("}else if(",s,"<0){"),o(),r("}")):a():o()}function q(t,e,r,n,i){return i=(e=_()).proc("body",i),$&&(e.instancing=i.def(e.shared.extensions,".angle_instanced_arrays")),t(e,i,r,n),e.compile().body}function Y(t,e,r,n){P(t,e),r.useVAO?r.drawVAO?e(t.shared.vao,".setVAO(",r.drawVAO.append(t,e),");"):e(t.shared.vao,".setVAO(",t.shared.vao,".targetVAO);"):(e(t.shared.vao,".setVAO(null);"),O(t,e,r,n.attributes,(function(){return!0}))),U(t,e,r,n.uniforms,(function(){return!0}),!1),V(t,e,e,r)}function W(t,e,r,n){function i(){return!0}t.batchId="a1",P(t,e),O(t,e,r,n.attributes,i),U(t,e,r,n.uniforms,i,!1),V(t,e,e,r)}function X(t,e,r,n){function i(t){return t.contextDep&&o||t.propDep}function a(t){return!i(t)}P(t,e);var o=r.contextDep,s=e.def(),l=e.def();t.shared.props=l,t.batchId=s;var c=t.scope(),u=t.scope();e(c.entry,"for(",s,"=0;",s,"<","a1",";++",s,"){",l,"=","a0","[",s,"];",u,"}",c.exit),r.needsContext&&S(t,u,r.context),r.needsFramebuffer&&E(t,u,r.framebuffer),C(t,u,r.state,i),r.profile&&i(r.profile)&&I(t,u,r,!1,!0),n?(r.useVAO?r.drawVAO?i(r.drawVAO)?u(t.shared.vao,".setVAO(",r.drawVAO.append(t,u),");"):c(t.shared.vao,".setVAO(",r.drawVAO.append(t,c),");"):c(t.shared.vao,".setVAO(",t.shared.vao,".targetVAO);"):(c(t.shared.vao,".setVAO(null);"),O(t,c,r,n.attributes,a),O(t,u,r,n.attributes,i)),U(t,c,r,n.uniforms,a,!1),U(t,u,r,n.uniforms,i,!0),V(t,c,u,r)):(e=t.global.def("{}"),n=r.shader.progVar.append(t,u),l=u.def(n,".id"),c=u.def(e,"[",l,"]"),u(t.shared.gl,".useProgram(",n,".program);","if(!",c,"){",c,"=",e,"[",l,"]=",t.link((function(e){return q(W,t,r,e,2)})),"(",n,");}",c,".call(this,a0[",s,"],",s,");"))}function Z(t,r){function n(e){var n=r.shader[e];n&&(n=n.append(t,i),isNaN(n)?i.set(a.shader,"."+e,n):i.set(a.shader,"."+e,t.link(n,{stable:!0})))}var i=t.proc("scope",3);t.batchId="a2";var a=t.shared,o=a.current;if(S(t,i,r.context),r.framebuffer&&r.framebuffer.append(t,i),R(Object.keys(r.state)).forEach((function(e){var n=r.state[e],o=n.append(t,i);g(o)?o.forEach((function(r,n){isNaN(r)?i.set(t.next[e],"["+n+"]",r):i.set(t.next[e],"["+n+"]",t.link(r,{stable:!0}))})):B(n)?i.set(a.next,"."+e,t.link(o,{stable:!0})):i.set(a.next,"."+e,o)})),I(t,i,r,!0,!0),["elements","offset","count","instances","primitive"].forEach((function(e){var n=r.draw[e];n&&(n=n.append(t,i),isNaN(n)?i.set(a.draw,"."+e,n):i.set(a.draw,"."+e,t.link(n),{stable:!0}))})),Object.keys(r.uniforms).forEach((function(n){var o=r.uniforms[n].append(t,i);Array.isArray(o)&&(o="["+o.map((function(e){return isNaN(e)?e:t.link(e,{stable:!0})}))+"]"),i.set(a.uniforms,"["+t.link(e.id(n),{stable:!0})+"]",o)})),Object.keys(r.attributes).forEach((function(e){var n=r.attributes[e].append(t,i),a=t.scopeAttrib(e);Object.keys(new K).forEach((function(t){i.set(a,"."+t,n[t])}))})),r.scopeVAO){var s=r.scopeVAO.append(t,i);isNaN(s)?i.set(a.vao,".targetVAO",s):i.set(a.vao,".targetVAO",t.link(s,{stable:!0}))}n("vert"),n("frag"),0<Object.keys(r.state).length&&(i(o,".dirty=true;"),i.exit(o,".dirty=true;")),i("a1(",t.shared.context,",a0,",t.batchId,");")}function J(t,e,r){var n=e.static[r];if(n&&function(t){if("object"==typeof t&&!g(t)){for(var e=Object.keys(t),r=0;r<e.length;++r)if(G.isDynamic(t[e[r]]))return!0;return!1}}(n)){var i=t.global,a=Object.keys(n),o=!1,s=!1,l=!1,c=t.global.def("{}");a.forEach((function(e){var r=n[e];if(G.isDynamic(r))"function"==typeof r&&(r=n[e]=G.unbox(r)),e=j(r,null),o=o||e.thisDep,l=l||e.propDep,s=s||e.contextDep;else{switch(i(c,".",e,"="),typeof r){case"number":i(r);break;case"string":i('"',r,'"');break;case"object":Array.isArray(r)&&i("[",r.join(),"]");break;default:i(t.link(r))}i(";")}})),e.dynamic[r]=new G.DynamicVariable(4,{thisDep:o,contextDep:s,propDep:l,ref:c,append:function(t,e){a.forEach((function(r){var i=n[r];G.isDynamic(i)&&(i=t.invoke(e,i),e(c,".",r,"=",i,";"))}))}}),delete e.static[r]}}var K=u.Record,Q={add:32774,subtract:32778,"reverse subtract":32779};r.ext_blend_minmax&&(Q.min=32775,Q.max=32776);var $=r.angle_instanced_arrays,et=r.webgl_draw_buffers,rt=r.oes_vertex_array_object,nt={dirty:!0,profile:v.profile},it={},ot=[],st={},lt={};x("dither",3024),x("blend.enable",3042),b("blend.color","blendColor",[0,0,0,0]),b("blend.equation","blendEquationSeparate",[32774,32774]),b("blend.func","blendFuncSeparate",[1,0,1,0]),x("depth.enable",2929,!0),b("depth.func","depthFunc",513),b("depth.range","depthRange",[0,1]),b("depth.mask","depthMask",!0),b("colorMask","colorMask",[!0,!0,!0,!0]),x("cull.enable",2884),b("cull.face","cullFace",1029),b("frontFace","frontFace",2305),b("lineWidth","lineWidth",1),x("polygonOffset.enable",32823),b("polygonOffset.offset","polygonOffset",[0,0]),x("sample.alpha",32926),x("sample.enable",32928),b("sample.coverage","sampleCoverage",[1,!1]),x("stencil.enable",2960),b("stencil.mask","stencilMask",-1),b("stencil.func","stencilFunc",[519,0,-1]),b("stencil.opFront","stencilOpSeparate",[1028,7680,7680,7680]),b("stencil.opBack","stencilOpSeparate",[1029,7680,7680,7680]),x("scissor.enable",3089),b("scissor.box","scissor",[0,0,t.drawingBufferWidth,t.drawingBufferHeight]),b("viewport","viewport",[0,0,t.drawingBufferWidth,t.drawingBufferHeight]);var ct={gl:t,context:p,strings:e,next:it,current:nt,draw:h,elements:o,buffer:i,shader:f,attributes:u.state,vao:u,uniforms:c,framebuffer:l,extensions:r,timer:d,isBufferArgs:D},ut={primTypes:at,compareFuncs:Et,blendFuncs:St,blendEquations:Q,stencilOps:Lt,glTypes:tt,orientationType:Ct};et&&(ut.backBuffer=[1029],ut.drawBuffer=a(n.maxDrawbuffers,(function(t){return 0===t?[0]:a(t,(function(t){return 36064+t}))})));var ft=0;return{next:it,current:nt,procs:function(){var t=_(),e=t.proc("poll"),i=t.proc("refresh"),o=t.block();e(o),i(o);var s,l=(f=t.shared).gl,c=f.next,u=f.current;o(u,".dirty=false;"),E(t,e),E(t,i,null,!0),$&&(s=t.link($)),r.oes_vertex_array_object&&i(t.link(r.oes_vertex_array_object),".bindVertexArrayOES(null);");var f=i.def(f.attributes),h=i.def(0),p=t.cond(h,".buffer");p.then(l,".enableVertexAttribArray(i);",l,".bindBuffer(",34962,",",h,".buffer.buffer);",l,".vertexAttribPointer(i,",h,".size,",h,".type,",h,".normalized,",h,".stride,",h,".offset);").else(l,".disableVertexAttribArray(i);",l,".vertexAttrib4f(i,",h,".x,",h,".y,",h,".z,",h,".w);",h,".buffer=null;");var d=t.link(n.maxAttributes,{stable:!0});return i("for(var i=0;i<",d,";++i){",h,"=",f,"[i];",p,"}"),$&&i("for(var i=0;i<",d,";++i){",s,".vertexAttribDivisorANGLE(i,",f,"[i].divisor);","}"),i(t.shared.vao,".currentVAO=null;",t.shared.vao,".setVAO(",t.shared.vao,".targetVAO);"),Object.keys(st).forEach((function(r){var n=st[r],a=o.def(c,".",r),s=t.block();s("if(",a,"){",l,".enable(",n,")}else{",l,".disable(",n,")}",u,".",r,"=",a,";"),i(s),e("if(",a,"!==",u,".",r,"){",s,"}")})),Object.keys(lt).forEach((function(r){var n,s,f=lt[r],h=nt[r],p=t.block();p(l,".",f,"("),g(h)?(f=h.length,n=t.global.def(c,".",r),s=t.global.def(u,".",r),p(a(f,(function(t){return n+"["+t+"]"})),");",a(f,(function(t){return s+"["+t+"]="+n+"["+t+"];"})).join("")),e("if(",a(f,(function(t){return n+"["+t+"]!=="+s+"["+t+"]"})).join("||"),"){",p,"}")):(n=o.def(c,".",r),s=o.def(u,".",r),p(n,");",u,".",r,"=",n,";"),e("if(",n,"!==",s,"){",p,"}")),i(p)})),t.compile()}(),compile:function(t,e,r,n,i){var a=_();a.stats=a.link(i),Object.keys(e.static).forEach((function(t){J(a,e,t)})),Mt.forEach((function(e){J(a,t,e)}));var o=M(t,e,r,n);return o.shader.program&&(o.shader.program.attributes.sort((function(t,e){return t.name<e.name?-1:1})),o.shader.program.uniforms.sort((function(t,e){return t.name<e.name?-1:1}))),function(t,e){var r=t.proc("draw",1);P(t,r),S(t,r,e.context),E(t,r,e.framebuffer),L(t,r,e),C(t,r,e.state),I(t,r,e,!1,!0);var n=e.shader.progVar.append(t,r);if(r(t.shared.gl,".useProgram(",n,".program);"),e.shader.program)Y(t,r,e,e.shader.program);else{r(t.shared.vao,".setVAO(null);");var i=t.global.def("{}"),a=r.def(n,".id"),o=r.def(i,"[",a,"]");r(t.cond(o).then(o,".call(this,a0);").else(o,"=",i,"[",a,"]=",t.link((function(r){return q(Y,t,e,r,1)})),"(",n,");",o,".call(this,a0);"))}0<Object.keys(e.state).length&&r(t.shared.current,".dirty=true;"),t.shared.vao&&r(t.shared.vao,".setVAO(null);")}(a,o),Z(a,o),function(t,e){function r(t){return t.contextDep&&i||t.propDep}var n=t.proc("batch",2);t.batchId="0",P(t,n);var i=!1,a=!0;Object.keys(e.context).forEach((function(t){i=i||e.context[t].propDep})),i||(S(t,n,e.context),a=!1);var o=!1;if((s=e.framebuffer)?(s.propDep?i=o=!0:s.contextDep&&i&&(o=!0),o||E(t,n,s)):E(t,n,null),e.state.viewport&&e.state.viewport.propDep&&(i=!0),L(t,n,e),C(t,n,e.state,(function(t){return!r(t)})),e.profile&&r(e.profile)||I(t,n,e,!1,"a1"),e.contextDep=i,e.needsContext=a,e.needsFramebuffer=o,(a=e.shader.progVar).contextDep&&i||a.propDep)X(t,n,e,null);else if(a=a.append(t,n),n(t.shared.gl,".useProgram(",a,".program);"),e.shader.program)X(t,n,e,e.shader.program);else{n(t.shared.vao,".setVAO(null);");var s=t.global.def("{}"),l=(o=n.def(a,".id"),n.def(s,"[",o,"]"));n(t.cond(l).then(l,".call(this,a0,a1);").else(l,"=",s,"[",o,"]=",t.link((function(r){return q(X,t,e,r,2)})),"(",a,");",l,".call(this,a0,a1);"))}0<Object.keys(e.state).length&&n(t.shared.current,".dirty=true;"),t.shared.vao&&n(t.shared.vao,".setVAO(null);")}(a,o),H(a.compile(),{destroy:function(){o.shader.program.destroy()}})}}}function V(t,e){for(var r=0;r<t.length;++r)if(t[r]===e)return r;return-1}var H=function(t,e){for(var r=Object.keys(e),n=0;n<r.length;++n)t[r[n]]=e[r[n]];return t},q=0,G={DynamicVariable:t,define:function(r,n){return new t(r,e(n+""))},isDynamic:function(e){return"function"==typeof e&&!e._reglType||e instanceof t},unbox:function e(r,n){return"function"==typeof r?new t(0,r):"number"==typeof r||"boolean"==typeof r?new t(5,r):Array.isArray(r)?new t(6,r.map((function(t,r){return e(t,n+"["+r+"]")}))):r instanceof t?r:void 0},accessor:e},Y={next:"function"==typeof requestAnimationFrame?function(t){return requestAnimationFrame(t)}:function(t){return setTimeout(t,16)},cancel:"function"==typeof cancelAnimationFrame?function(t){return cancelAnimationFrame(t)}:clearTimeout},W="undefined"!=typeof performance&&performance.now?function(){return performance.now()}:function(){return+new Date},X=s();X.zero=s();var Z=function(t,e){var r=1;e.ext_texture_filter_anisotropic&&(r=t.getParameter(34047));var n=1,i=1;e.webgl_draw_buffers&&(n=t.getParameter(34852),i=t.getParameter(36063));var a=!!e.oes_texture_float;if(a){a=t.createTexture(),t.bindTexture(3553,a),t.texImage2D(3553,0,6408,1,1,0,6408,5126,null);var o=t.createFramebuffer();if(t.bindFramebuffer(36160,o),t.framebufferTexture2D(36160,36064,3553,a,0),t.bindTexture(3553,null),36053!==t.checkFramebufferStatus(36160))a=!1;else{t.viewport(0,0,1,1),t.clearColor(1,0,0,1),t.clear(16384);var s=X.allocType(5126,4);t.readPixels(0,0,1,1,6408,5126,s),t.getError()?a=!1:(t.deleteFramebuffer(o),t.deleteTexture(a),a=1===s[0]),X.freeType(s)}}return s=!0,"undefined"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\//.test(navigator.appVersion)||/Edge/.test(navigator.userAgent))||(s=t.createTexture(),o=X.allocType(5121,36),t.activeTexture(33984),t.bindTexture(34067,s),t.texImage2D(34069,0,6408,3,3,0,6408,5121,o),X.freeType(o),t.bindTexture(34067,null),t.deleteTexture(s),s=!t.getError()),{colorBits:[t.getParameter(3410),t.getParameter(3411),t.getParameter(3412),t.getParameter(3413)],depthBits:t.getParameter(3414),stencilBits:t.getParameter(3415),subpixelBits:t.getParameter(3408),extensions:Object.keys(e).filter((function(t){return!!e[t]})),maxAnisotropic:r,maxDrawbuffers:n,maxColorAttachments:i,pointSizeDims:t.getParameter(33901),lineWidthDims:t.getParameter(33902),maxViewportDims:t.getParameter(3386),maxCombinedTextureUnits:t.getParameter(35661),maxCubeMapSize:t.getParameter(34076),maxRenderbufferSize:t.getParameter(34024),maxTextureUnits:t.getParameter(34930),maxTextureSize:t.getParameter(3379),maxAttributes:t.getParameter(34921),maxVertexUniforms:t.getParameter(36347),maxVertexTextureUnits:t.getParameter(35660),maxVaryingVectors:t.getParameter(36348),maxFragmentUniforms:t.getParameter(36349),glsl:t.getParameter(35724),renderer:t.getParameter(7937),vendor:t.getParameter(7936),version:t.getParameter(7938),readFloat:a,npotTextureCube:s}},J=function(t){return t instanceof Uint8Array||t instanceof Uint16Array||t instanceof Uint32Array||t instanceof Int8Array||t instanceof Int16Array||t instanceof Int32Array||t instanceof Float32Array||t instanceof Float64Array||t instanceof Uint8ClampedArray},K=function(t){return Object.keys(t).map((function(e){return t[e]}))},Q={shape:function(t){for(var e=[];t.length;t=t[0])e.push(t.length);return e},flatten:function(t,e,r,n){var i=1;if(e.length)for(var a=0;a<e.length;++a)i*=e[a];else i=0;switch(r=n||X.allocType(r,i),e.length){case 0:break;case 1:for(n=e[0],e=0;e<n;++e)r[e]=t[e];break;case 2:for(n=e[0],e=e[1],a=i=0;a<n;++a)for(var o=t[a],s=0;s<e;++s)r[i++]=o[s];break;case 3:c(t,e[0],e[1],e[2],r,0);break;default:!function t(e,r,n,i,a){for(var o=1,s=n+1;s<r.length;++s)o*=r[s];var l=r[n];if(4==r.length-n){var u=r[n+1],f=r[n+2];for(r=r[n+3],s=0;s<l;++s)c(e[s],u,f,r,i,a),a+=o}else for(s=0;s<l;++s)t(e[s],r,n+1,i,a),a+=o}(t,e,0,r,0)}return r}},$={"[object Int8Array]":5120,"[object Int16Array]":5122,"[object Int32Array]":5124,"[object Uint8Array]":5121,"[object Uint8ClampedArray]":5121,"[object Uint16Array]":5123,"[object Uint32Array]":5125,"[object Float32Array]":5126,"[object Float64Array]":5121,"[object ArrayBuffer]":5121},tt={int8:5120,int16:5122,int32:5124,uint8:5121,uint16:5123,uint32:5125,float:5126,float32:5126},et={dynamic:35048,stream:35040,static:35044},rt=Q.flatten,nt=Q.shape,it=[];it[5120]=1,it[5122]=2,it[5124]=4,it[5121]=1,it[5123]=2,it[5125]=4,it[5126]=4;var at={points:0,point:0,lines:1,line:1,triangles:4,triangle:4,"line loop":2,"line strip":3,"triangle strip":5,"triangle fan":6},ot=new Float32Array(1),st=new Uint32Array(ot.buffer),lt=[9984,9986,9985,9987],ct=[0,6409,6410,6407,6408],ut={};ut[6409]=ut[6406]=ut[6402]=1,ut[34041]=ut[6410]=2,ut[6407]=ut[35904]=3,ut[6408]=ut[35906]=4;var ft=v("HTMLCanvasElement"),ht=v("OffscreenCanvas"),pt=v("CanvasRenderingContext2D"),dt=v("ImageBitmap"),mt=v("HTMLImageElement"),gt=v("HTMLVideoElement"),vt=Object.keys($).concat([ft,ht,pt,dt,mt,gt]),yt=[];yt[5121]=1,yt[5126]=4,yt[36193]=2,yt[5123]=2,yt[5125]=4;var xt=[];xt[32854]=2,xt[32855]=2,xt[36194]=2,xt[34041]=4,xt[33776]=.5,xt[33777]=.5,xt[33778]=1,xt[33779]=1,xt[35986]=.5,xt[35987]=1,xt[34798]=1,xt[35840]=.5,xt[35841]=.25,xt[35842]=.5,xt[35843]=.25,xt[36196]=.5;var bt=[];bt[32854]=2,bt[32855]=2,bt[36194]=2,bt[33189]=2,bt[36168]=1,bt[34041]=4,bt[35907]=4,bt[34836]=16,bt[34842]=8,bt[34843]=6;var _t=function(t,e,r,n,i){function a(t){this.id=c++,this.refCount=1,this.renderbuffer=t,this.format=32854,this.height=this.width=0,i.profile&&(this.stats={size:0})}function o(e){var r=e.renderbuffer;t.bindRenderbuffer(36161,null),t.deleteRenderbuffer(r),e.renderbuffer=null,e.refCount=0,delete u[e.id],n.renderbufferCount--}var s={rgba4:32854,rgb565:36194,"rgb5 a1":32855,depth:33189,stencil:36168,"depth stencil":34041};e.ext_srgb&&(s.srgba=35907),e.ext_color_buffer_half_float&&(s.rgba16f=34842,s.rgb16f=34843),e.webgl_color_buffer_float&&(s.rgba32f=34836);var l=[];Object.keys(s).forEach((function(t){l[s[t]]=t}));var c=0,u={};return a.prototype.decRef=function(){0>=--this.refCount&&o(this)},i.profile&&(n.getTotalRenderbufferSize=function(){var t=0;return Object.keys(u).forEach((function(e){t+=u[e].stats.size})),t}),{create:function(e,r){function o(e,r){var n=0,a=0,u=32854;if("object"==typeof e&&e?("shape"in e?(n=0|(a=e.shape)[0],a=0|a[1]):("radius"in e&&(n=a=0|e.radius),"width"in e&&(n=0|e.width),"height"in e&&(a=0|e.height)),"format"in e&&(u=s[e.format])):"number"==typeof e?(n=0|e,a="number"==typeof r?0|r:n):e||(n=a=1),n!==c.width||a!==c.height||u!==c.format)return o.width=c.width=n,o.height=c.height=a,c.format=u,t.bindRenderbuffer(36161,c.renderbuffer),t.renderbufferStorage(36161,u,n,a),i.profile&&(c.stats.size=bt[c.format]*c.width*c.height),o.format=l[c.format],o}var c=new a(t.createRenderbuffer());return u[c.id]=c,n.renderbufferCount++,o(e,r),o.resize=function(e,r){var n=0|e,a=0|r||n;return n===c.width&&a===c.height||(o.width=c.width=n,o.height=c.height=a,t.bindRenderbuffer(36161,c.renderbuffer),t.renderbufferStorage(36161,c.format,n,a),i.profile&&(c.stats.size=bt[c.format]*c.width*c.height)),o},o._reglType="renderbuffer",o._renderbuffer=c,i.profile&&(o.stats=c.stats),o.destroy=function(){c.decRef()},o},clear:function(){K(u).forEach(o)},restore:function(){K(u).forEach((function(e){e.renderbuffer=t.createRenderbuffer(),t.bindRenderbuffer(36161,e.renderbuffer),t.renderbufferStorage(36161,e.format,e.width,e.height)})),t.bindRenderbuffer(36161,null)}}},wt=[];wt[6408]=4,wt[6407]=3;var Tt=[];Tt[5121]=1,Tt[5126]=4,Tt[36193]=2;var kt=[1116352408,1899447441,-1245643825,-373957723,961987163,1508970993,-1841331548,-1424204075,-670586216,310598401,607225278,1426881987,1925078388,-2132889090,-1680079193,-1046744716,-459576895,-272742522,264347078,604807628,770255983,1249150122,1555081692,1996064986,-1740746414,-1473132947,-1341970488,-1084653625,-958395405,-710438585,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,-2117940946,-1838011259,-1564481375,-1474664885,-1035236496,-949202525,-778901479,-694614492,-200395387,275423344,430227734,506948616,659060556,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,-2067236844,-1933114872,-1866530822,-1538233109,-1090935817,-965641998],At=["x","y","z","w"],Mt="blend.func blend.equation stencil.func stencil.opFront stencil.opBack sample.coverage viewport scissor.box polygonOffset.offset".split(" "),St={0:0,1:1,zero:0,one:1,"src color":768,"one minus src color":769,"src alpha":770,"one minus src alpha":771,"dst color":774,"one minus dst color":775,"dst alpha":772,"one minus dst alpha":773,"constant color":32769,"one minus constant color":32770,"constant alpha":32771,"one minus constant alpha":32772,"src alpha saturate":776},Et={never:512,less:513,"<":513,equal:514,"=":514,"==":514,"===":514,lequal:515,"<=":515,greater:516,">":516,notequal:517,"!=":517,"!==":517,gequal:518,">=":518,always:519},Lt={0:0,zero:0,keep:7680,replace:7681,increment:7682,decrement:7683,"increment wrap":34055,"decrement wrap":34056,invert:5386},Ct={cw:2304,ccw:2305},Pt=new F(!1,!1,!1,(function(){}));return function(t){function e(){if(0===K.length)T&&T.update(),et=null;else{et=Y.next(e),f();for(var t=K.length-1;0<=t;--t){var r=K[t];r&&r(I,null,0)}g.flush(),T&&T.update()}}function r(){!et&&0<K.length&&(et=Y.next(e))}function n(){et&&(Y.cancel(e),et=null)}function a(t){t.preventDefault(),n(),Q.forEach((function(t){t()}))}function o(t){g.getError(),y.restore(),F.restore(),z.restore(),B.restore(),N.restore(),j.restore(),R.restore(),T&&T.restore(),q.procs.refresh(),r(),$.forEach((function(t){t()}))}function s(t){function e(t,e){var r={},n={};return Object.keys(t).forEach((function(i){var a=t[i];if(G.isDynamic(a))n[i]=G.unbox(a,i);else{if(e&&Array.isArray(a))for(var o=0;o<a.length;++o)if(G.isDynamic(a[o]))return void(n[i]=G.unbox(a,i));r[i]=a}})),{dynamic:n,static:r}}var r=e(t.context||{},!0),n=e(t.uniforms||{},!0),i=e(t.attributes||{},!1);t=e(function(t){function e(t){if(t in r){var e=r[t];delete r[t],Object.keys(e).forEach((function(n){r[t+"."+n]=e[n]}))}}var r=H({},t);return delete r.uniforms,delete r.attributes,delete r.context,delete r.vao,"stencil"in r&&r.stencil.op&&(r.stencil.opBack=r.stencil.opFront=r.stencil.op,delete r.stencil.op),e("blend"),e("depth"),e("cull"),e("stencil"),e("polygonOffset"),e("scissor"),e("sample"),"vao"in t&&(r.vao=t.vao),r}(t),!1);var a={gpuTime:0,cpuTime:0,count:0},o=q.compile(t,i,n,r,a),s=o.draw,l=o.batch,c=o.scope,u=[];return H((function(t,e){var r;if("function"==typeof t)return c.call(this,null,t,0);if("function"==typeof e)if("number"==typeof t)for(r=0;r<t;++r)c.call(this,null,e,r);else{if(!Array.isArray(t))return c.call(this,t,e,0);for(r=0;r<t.length;++r)c.call(this,t[r],e,r)}else if("number"==typeof t){if(0<t)return l.call(this,function(t){for(;u.length<t;)u.push(null);return u}(0|t),0|t)}else{if(!Array.isArray(t))return s.call(this,t);if(t.length)return l.call(this,t,t.length)}}),{stats:a,destroy:function(){o.destroy()}})}function l(t,e){var r=0;q.procs.poll();var n=e.color;n&&(g.clearColor(+n[0]||0,+n[1]||0,+n[2]||0,+n[3]||0),r|=16384),"depth"in e&&(g.clearDepth(+e.depth),r|=256),"stencil"in e&&(g.clearStencil(0|e.stencil),r|=1024),g.clear(r)}function c(t){return K.push(t),r(),{cancel:function(){var e=V(K,t);K[e]=function t(){var e=V(K,t);K[e]=K[K.length-1],--K.length,0>=K.length&&n()}}}}function u(){var t=X.viewport,e=X.scissor_box;t[0]=t[1]=e[0]=e[1]=0,I.viewportWidth=I.framebufferWidth=I.drawingBufferWidth=t[2]=e[2]=g.drawingBufferWidth,I.viewportHeight=I.framebufferHeight=I.drawingBufferHeight=t[3]=e[3]=g.drawingBufferHeight}function f(){I.tick+=1,I.time=m(),u(),q.procs.poll()}function h(){B.refresh(),u(),q.procs.refresh(),T&&T.update()}function m(){return(W()-M)/1e3}if(!(t=i(t)))return null;var g=t.gl,v=g.getContextAttributes();g.isContextLost();var y=function(t,e){function r(e){var r;e=e.toLowerCase();try{r=n[e]=t.getExtension(e)}catch(t){}return!!r}for(var n={},i=0;i<e.extensions.length;++i){var a=e.extensions[i];if(!r(a))return e.onDestroy(),e.onDone('"'+a+'" extension is not supported by the current WebGL context, try upgrading your system or a different browser'),null}return e.optionalExtensions.forEach(r),{extensions:n,restore:function(){Object.keys(n).forEach((function(t){if(n[t]&&!r(t))throw Error("(regl): error restoring extension "+t)}))}}}(g,t);if(!y)return null;var x=function(){var t={"":0},e=[""];return{id:function(r){var n=t[r];return n||(n=t[r]=e.length,e.push(r),n)},str:function(t){return e[t]}}}(),b={vaoCount:0,bufferCount:0,elementsCount:0,framebufferCount:0,shaderCount:0,textureCount:0,cubeCount:0,renderbufferCount:0,maxTextureUnits:0},_=t.cachedCode||{},w=y.extensions,T=function(t,e){function r(){this.endQueryIndex=this.startQueryIndex=-1,this.sum=0,this.stats=null}function n(t,e,n){var i=o.pop()||new r;i.startQueryIndex=t,i.endQueryIndex=e,i.sum=0,i.stats=n,s.push(i)}if(!e.ext_disjoint_timer_query)return null;var i=[],a=[],o=[],s=[],l=[],c=[];return{beginQuery:function(t){var r=i.pop()||e.ext_disjoint_timer_query.createQueryEXT();e.ext_disjoint_timer_query.beginQueryEXT(35007,r),a.push(r),n(a.length-1,a.length,t)},endQuery:function(){e.ext_disjoint_timer_query.endQueryEXT(35007)},pushScopeStats:n,update:function(){var t,r;if(0!==(t=a.length)){c.length=Math.max(c.length,t+1),l.length=Math.max(l.length,t+1),l[0]=0;var n=c[0]=0;for(r=t=0;r<a.length;++r){var u=a[r];e.ext_disjoint_timer_query.getQueryObjectEXT(u,34919)?(n+=e.ext_disjoint_timer_query.getQueryObjectEXT(u,34918),i.push(u)):a[t++]=u,l[r+1]=n,c[r+1]=t}for(a.length=t,r=t=0;r<s.length;++r){var f=(n=s[r]).startQueryIndex;u=n.endQueryIndex;n.sum+=l[u]-l[f],f=c[f],(u=c[u])===f?(n.stats.gpuTime+=n.sum/1e6,o.push(n)):(n.startQueryIndex=f,n.endQueryIndex=u,s[t++]=n)}s.length=t}},getNumPendingQueries:function(){return a.length},clear:function(){i.push.apply(i,a);for(var t=0;t<i.length;t++)e.ext_disjoint_timer_query.deleteQueryEXT(i[t]);a.length=0,i.length=0},restore:function(){a.length=0,i.length=0}}}(0,w),M=W(),C=g.drawingBufferWidth,P=g.drawingBufferHeight,I={tick:0,time:0,viewportWidth:C,viewportHeight:P,framebufferWidth:C,framebufferHeight:P,drawingBufferWidth:C,drawingBufferHeight:P,pixelRatio:t.pixelRatio},O=(C={elements:null,primitive:4,count:-1,offset:0,instances:-1},Z(g,w)),z=p(g,b,t,(function(t){return R.destroyBuffer(t)})),D=d(g,w,z,b),R=S(g,w,O,b,z,D,C),F=E(g,x,b,t),B=k(g,w,O,(function(){q.procs.poll()}),I,b,t),N=_t(g,w,0,b,t),j=A(g,w,O,B,N,b),q=U(g,x,w,O,z,D,0,j,{},R,F,C,I,T,_,t),X=(x=L(g,j,q.procs.poll,I),q.next),J=g.canvas,K=[],Q=[],$=[],tt=[t.onDestroy],et=null;J&&(J.addEventListener("webglcontextlost",a,!1),J.addEventListener("webglcontextrestored",o,!1));var rt=j.setFBO=s({framebuffer:G.define.call(null,1,"framebuffer")});return h(),v=H(s,{clear:function(t){if("framebuffer"in t)if(t.framebuffer&&"framebufferCube"===t.framebuffer_reglType)for(var e=0;6>e;++e)rt(H({framebuffer:t.framebuffer.faces[e]},t),l);else rt(t,l);else l(0,t)},prop:G.define.bind(null,1),context:G.define.bind(null,2),this:G.define.bind(null,3),draw:s({}),buffer:function(t){return z.create(t,34962,!1,!1)},elements:function(t){return D.create(t,!1)},texture:B.create2D,cube:B.createCube,renderbuffer:N.create,framebuffer:j.create,framebufferCube:j.createCube,vao:R.createVAO,attributes:v,frame:c,on:function(t,e){var r;switch(t){case"frame":return c(e);case"lost":r=Q;break;case"restore":r=$;break;case"destroy":r=tt}return r.push(e),{cancel:function(){for(var t=0;t<r.length;++t)if(r[t]===e){r[t]=r[r.length-1],r.pop();break}}}},limits:O,hasExtension:function(t){return 0<=O.extensions.indexOf(t.toLowerCase())},read:x,destroy:function(){K.length=0,n(),J&&(J.removeEventListener("webglcontextlost",a),J.removeEventListener("webglcontextrestored",o)),F.clear(),j.clear(),N.clear(),R.clear(),B.clear(),D.clear(),z.clear(),T&&T.clear(),tt.forEach((function(t){t()}))},_gl:g,_refresh:h,poll:function(){f(),T&&T.update()},now:m,stats:b,getCachedCode:function(){return _},preloadCachedCode:function(t){Object.entries(t).forEach((function(t){_[t[0]]=t[1]}))}}),t.onDone(null,v),v}}))},{}],279:[function(t,e,r){
-/*! safe-buffer. MIT License. Feross Aboukhadijeh <https://feross.org/opensource> */
-var n=t("buffer"),i=n.Buffer;function a(t,e){for(var r in t)e[r]=t[r]}function o(t,e,r){return i(t,e,r)}i.from&&i.alloc&&i.allocUnsafe&&i.allocUnsafeSlow?e.exports=n:(a(n,r),r.Buffer=o),o.prototype=Object.create(i.prototype),a(i,o),o.from=function(t,e,r){if("number"==typeof t)throw new TypeError("Argument must not be a number");return i(t,e,r)},o.alloc=function(t,e,r){if("number"!=typeof t)throw new TypeError("Argument must be a number");var n=i(t);return void 0!==e?"string"==typeof r?n.fill(e,r):n.fill(e):n.fill(0),n},o.allocUnsafe=function(t){if("number"!=typeof t)throw new TypeError("Argument must be a number");return i(t)},o.allocUnsafeSlow=function(t){if("number"!=typeof t)throw new TypeError("Argument must be a number");return n.SlowBuffer(t)}},{buffer:80}],280:[function(t,e,r){e.exports=i;var n=t("events").EventEmitter;function i(){n.call(this)}t("inherits")(i,n),i.Readable=t("readable-stream/lib/_stream_readable.js"),i.Writable=t("readable-stream/lib/_stream_writable.js"),i.Duplex=t("readable-stream/lib/_stream_duplex.js"),i.Transform=t("readable-stream/lib/_stream_transform.js"),i.PassThrough=t("readable-stream/lib/_stream_passthrough.js"),i.finished=t("readable-stream/lib/internal/streams/end-of-stream.js"),i.pipeline=t("readable-stream/lib/internal/streams/pipeline.js"),i.Stream=i,i.prototype.pipe=function(t,e){var r=this;function i(e){t.writable&&!1===t.write(e)&&r.pause&&r.pause()}function a(){r.readable&&r.resume&&r.resume()}r.on("data",i),t.on("drain",a),t._isStdio||e&&!1===e.end||(r.on("end",s),r.on("close",l));var o=!1;function s(){o||(o=!0,t.end())}function l(){o||(o=!0,"function"==typeof t.destroy&&t.destroy())}function c(t){if(u(),0===n.listenerCount(this,"error"))throw t}function u(){r.removeListener("data",i),t.removeListener("drain",a),r.removeListener("end",s),r.removeListener("close",l),r.removeListener("error",c),t.removeListener("error",c),r.removeListener("end",u),r.removeListener("close",u),t.removeListener("close",u)}return r.on("error",c),t.on("error",c),r.on("end",u),r.on("close",u),t.on("close",u),t.emit("pipe",r),t}},{events:181,inherits:226,"readable-stream/lib/_stream_duplex.js":282,"readable-stream/lib/_stream_passthrough.js":283,"readable-stream/lib/_stream_readable.js":284,"readable-stream/lib/_stream_transform.js":285,"readable-stream/lib/_stream_writable.js":286,"readable-stream/lib/internal/streams/end-of-stream.js":290,"readable-stream/lib/internal/streams/pipeline.js":292}],281:[function(t,e,r){"use strict";var n={};function i(t,e,r){r||(r=Error);var i=function(t){var r,n;function i(r,n,i){return t.call(this,function(t,r,n){return"string"==typeof e?e:e(t,r,n)}(r,n,i))||this}return n=t,(r=i).prototype=Object.create(n.prototype),r.prototype.constructor=r,r.__proto__=n,i}(r);i.prototype.name=r.name,i.prototype.code=t,n[t]=i}function a(t,e){if(Array.isArray(t)){var r=t.length;return t=t.map((function(t){return String(t)})),r>2?"one of ".concat(e," ").concat(t.slice(0,r-1).join(", "),", or ")+t[r-1]:2===r?"one of ".concat(e," ").concat(t[0]," or ").concat(t[1]):"of ".concat(e," ").concat(t[0])}return"of ".concat(e," ").concat(String(t))}i("ERR_INVALID_OPT_VALUE",(function(t,e){return'The value "'+e+'" is invalid for option "'+t+'"'}),TypeError),i("ERR_INVALID_ARG_TYPE",(function(t,e,r){var n,i,o,s;if("string"==typeof e&&(i="not ",e.substr(!o||o<0?0:+o,i.length)===i)?(n="must not be",e=e.replace(/^not /,"")):n="must be",function(t,e,r){return(void 0===r||r>t.length)&&(r=t.length),t.substring(r-e.length,r)===e}(t," argument"))s="The ".concat(t," ").concat(n," ").concat(a(e,"type"));else{var l=function(t,e,r){return"number"!=typeof r&&(r=0),!(r+e.length>t.length)&&-1!==t.indexOf(e,r)}(t,".")?"property":"argument";s='The "'.concat(t,'" ').concat(l," ").concat(n," ").concat(a(e,"type"))}return s+=". Received type ".concat(typeof r)}),TypeError),i("ERR_STREAM_PUSH_AFTER_EOF","stream.push() after EOF"),i("ERR_METHOD_NOT_IMPLEMENTED",(function(t){return"The "+t+" method is not implemented"})),i("ERR_STREAM_PREMATURE_CLOSE","Premature close"),i("ERR_STREAM_DESTROYED",(function(t){return"Cannot call "+t+" after a stream was destroyed"})),i("ERR_MULTIPLE_CALLBACK","Callback called multiple times"),i("ERR_STREAM_CANNOT_PIPE","Cannot pipe, not readable"),i("ERR_STREAM_WRITE_AFTER_END","write after end"),i("ERR_STREAM_NULL_VALUES","May not write null values to stream",TypeError),i("ERR_UNKNOWN_ENCODING",(function(t){return"Unknown encoding: "+t}),TypeError),i("ERR_STREAM_UNSHIFT_AFTER_END_EVENT","stream.unshift() after end event"),e.exports.codes=n},{}],282:[function(t,e,r){(function(r){(function(){"use strict";var n=Object.keys||function(t){var e=[];for(var r in t)e.push(r);return e};e.exports=c;var i=t("./_stream_readable"),a=t("./_stream_writable");t("inherits")(c,i);for(var o=n(a.prototype),s=0;s<o.length;s++){var l=o[s];c.prototype[l]||(c.prototype[l]=a.prototype[l])}function c(t){if(!(this instanceof c))return new c(t);i.call(this,t),a.call(this,t),this.allowHalfOpen=!0,t&&(!1===t.readable&&(this.readable=!1),!1===t.writable&&(this.writable=!1),!1===t.allowHalfOpen&&(this.allowHalfOpen=!1,this.once("end",u)))}function u(){this._writableState.ended||r.nextTick(f,this)}function f(t){t.end()}Object.defineProperty(c.prototype,"writableHighWaterMark",{enumerable:!1,get:function(){return this._writableState.highWaterMark}}),Object.defineProperty(c.prototype,"writableBuffer",{enumerable:!1,get:function(){return this._writableState&&this._writableState.getBuffer()}}),Object.defineProperty(c.prototype,"writableLength",{enumerable:!1,get:function(){return this._writableState.length}}),Object.defineProperty(c.prototype,"destroyed",{enumerable:!1,get:function(){return void 0!==this._readableState&&void 0!==this._writableState&&(this._readableState.destroyed&&this._writableState.destroyed)},set:function(t){void 0!==this._readableState&&void 0!==this._writableState&&(this._readableState.destroyed=t,this._writableState.destroyed=t)}})}).call(this)}).call(this,t("_process"))},{"./_stream_readable":284,"./_stream_writable":286,_process:272,inherits:226}],283:[function(t,e,r){"use strict";e.exports=i;var n=t("./_stream_transform");function i(t){if(!(this instanceof i))return new i(t);n.call(this,t)}t("inherits")(i,n),i.prototype._transform=function(t,e,r){r(null,t)}},{"./_stream_transform":285,inherits:226}],284:[function(t,e,r){(function(r,n){(function(){"use strict";var i;e.exports=A,A.ReadableState=k;t("events").EventEmitter;var a=function(t,e){return t.listeners(e).length},o=t("./internal/streams/stream"),s=t("buffer").Buffer,l=n.Uint8Array||function(){};var c,u=t("util");c=u&&u.debuglog?u.debuglog("stream"):function(){};var f,h,p,d=t("./internal/streams/buffer_list"),m=t("./internal/streams/destroy"),g=t("./internal/streams/state").getHighWaterMark,v=t("../errors").codes,y=v.ERR_INVALID_ARG_TYPE,x=v.ERR_STREAM_PUSH_AFTER_EOF,b=v.ERR_METHOD_NOT_IMPLEMENTED,_=v.ERR_STREAM_UNSHIFT_AFTER_END_EVENT;t("inherits")(A,o);var w=m.errorOrDestroy,T=["error","close","destroy","pause","resume"];function k(e,r,n){i=i||t("./_stream_duplex"),e=e||{},"boolean"!=typeof n&&(n=r instanceof i),this.objectMode=!!e.objectMode,n&&(this.objectMode=this.objectMode||!!e.readableObjectMode),this.highWaterMark=g(this,e,"readableHighWaterMark",n),this.buffer=new d,this.length=0,this.pipes=null,this.pipesCount=0,this.flowing=null,this.ended=!1,this.endEmitted=!1,this.reading=!1,this.sync=!0,this.needReadable=!1,this.emittedReadable=!1,this.readableListening=!1,this.resumeScheduled=!1,this.paused=!0,this.emitClose=!1!==e.emitClose,this.autoDestroy=!!e.autoDestroy,this.destroyed=!1,this.defaultEncoding=e.defaultEncoding||"utf8",this.awaitDrain=0,this.readingMore=!1,this.decoder=null,this.encoding=null,e.encoding&&(f||(f=t("string_decoder/").StringDecoder),this.decoder=new f(e.encoding),this.encoding=e.encoding)}function A(e){if(i=i||t("./_stream_duplex"),!(this instanceof A))return new A(e);var r=this instanceof i;this._readableState=new k(e,this,r),this.readable=!0,e&&("function"==typeof e.read&&(this._read=e.read),"function"==typeof e.destroy&&(this._destroy=e.destroy)),o.call(this)}function M(t,e,r,n,i){c("readableAddChunk",e);var a,o=t._readableState;if(null===e)o.reading=!1,function(t,e){if(c("onEofChunk"),e.ended)return;if(e.decoder){var r=e.decoder.end();r&&r.length&&(e.buffer.push(r),e.length+=e.objectMode?1:r.length)}e.ended=!0,e.sync?L(t):(e.needReadable=!1,e.emittedReadable||(e.emittedReadable=!0,C(t)))}(t,o);else if(i||(a=function(t,e){var r;n=e,s.isBuffer(n)||n instanceof l||"string"==typeof e||void 0===e||t.objectMode||(r=new y("chunk",["string","Buffer","Uint8Array"],e));var n;return r}(o,e)),a)w(t,a);else if(o.objectMode||e&&e.length>0)if("string"==typeof e||o.objectMode||Object.getPrototypeOf(e)===s.prototype||(e=function(t){return s.from(t)}(e)),n)o.endEmitted?w(t,new _):S(t,o,e,!0);else if(o.ended)w(t,new x);else{if(o.destroyed)return!1;o.reading=!1,o.decoder&&!r?(e=o.decoder.write(e),o.objectMode||0!==e.length?S(t,o,e,!1):P(t,o)):S(t,o,e,!1)}else n||(o.reading=!1,P(t,o));return!o.ended&&(o.length<o.highWaterMark||0===o.length)}function S(t,e,r,n){e.flowing&&0===e.length&&!e.sync?(e.awaitDrain=0,t.emit("data",r)):(e.length+=e.objectMode?1:r.length,n?e.buffer.unshift(r):e.buffer.push(r),e.needReadable&&L(t)),P(t,e)}Object.defineProperty(A.prototype,"destroyed",{enumerable:!1,get:function(){return void 0!==this._readableState&&this._readableState.destroyed},set:function(t){this._readableState&&(this._readableState.destroyed=t)}}),A.prototype.destroy=m.destroy,A.prototype._undestroy=m.undestroy,A.prototype._destroy=function(t,e){e(t)},A.prototype.push=function(t,e){var r,n=this._readableState;return n.objectMode?r=!0:"string"==typeof t&&((e=e||n.defaultEncoding)!==n.encoding&&(t=s.from(t,e),e=""),r=!0),M(this,t,e,!1,r)},A.prototype.unshift=function(t){return M(this,t,null,!0,!1)},A.prototype.isPaused=function(){return!1===this._readableState.flowing},A.prototype.setEncoding=function(e){f||(f=t("string_decoder/").StringDecoder);var r=new f(e);this._readableState.decoder=r,this._readableState.encoding=this._readableState.decoder.encoding;for(var n=this._readableState.buffer.head,i="";null!==n;)i+=r.write(n.data),n=n.next;return this._readableState.buffer.clear(),""!==i&&this._readableState.buffer.push(i),this._readableState.length=i.length,this};function E(t,e){return t<=0||0===e.length&&e.ended?0:e.objectMode?1:t!=t?e.flowing&&e.length?e.buffer.head.data.length:e.length:(t>e.highWaterMark&&(e.highWaterMark=function(t){return t>=1073741824?t=1073741824:(t--,t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,t|=t>>>16,t++),t}(t)),t<=e.length?t:e.ended?e.length:(e.needReadable=!0,0))}function L(t){var e=t._readableState;c("emitReadable",e.needReadable,e.emittedReadable),e.needReadable=!1,e.emittedReadable||(c("emitReadable",e.flowing),e.emittedReadable=!0,r.nextTick(C,t))}function C(t){var e=t._readableState;c("emitReadable_",e.destroyed,e.length,e.ended),e.destroyed||!e.length&&!e.ended||(t.emit("readable"),e.emittedReadable=!1),e.needReadable=!e.flowing&&!e.ended&&e.length<=e.highWaterMark,R(t)}function P(t,e){e.readingMore||(e.readingMore=!0,r.nextTick(I,t,e))}function I(t,e){for(;!e.reading&&!e.ended&&(e.length<e.highWaterMark||e.flowing&&0===e.length);){var r=e.length;if(c("maybeReadMore read 0"),t.read(0),r===e.length)break}e.readingMore=!1}function O(t){var e=t._readableState;e.readableListening=t.listenerCount("readable")>0,e.resumeScheduled&&!e.paused?e.flowing=!0:t.listenerCount("data")>0&&t.resume()}function z(t){c("readable nexttick read 0"),t.read(0)}function D(t,e){c("resume",e.reading),e.reading||t.read(0),e.resumeScheduled=!1,t.emit("resume"),R(t),e.flowing&&!e.reading&&t.read(0)}function R(t){var e=t._readableState;for(c("flow",e.flowing);e.flowing&&null!==t.read(););}function F(t,e){return 0===e.length?null:(e.objectMode?r=e.buffer.shift():!t||t>=e.length?(r=e.decoder?e.buffer.join(""):1===e.buffer.length?e.buffer.first():e.buffer.concat(e.length),e.buffer.clear()):r=e.buffer.consume(t,e.decoder),r);var r}function B(t){var e=t._readableState;c("endReadable",e.endEmitted),e.endEmitted||(e.ended=!0,r.nextTick(N,e,t))}function N(t,e){if(c("endReadableNT",t.endEmitted,t.length),!t.endEmitted&&0===t.length&&(t.endEmitted=!0,e.readable=!1,e.emit("end"),t.autoDestroy)){var r=e._writableState;(!r||r.autoDestroy&&r.finished)&&e.destroy()}}function j(t,e){for(var r=0,n=t.length;r<n;r++)if(t[r]===e)return r;return-1}A.prototype.read=function(t){c("read",t),t=parseInt(t,10);var e=this._readableState,r=t;if(0!==t&&(e.emittedReadable=!1),0===t&&e.needReadable&&((0!==e.highWaterMark?e.length>=e.highWaterMark:e.length>0)||e.ended))return c("read: emitReadable",e.length,e.ended),0===e.length&&e.ended?B(this):L(this),null;if(0===(t=E(t,e))&&e.ended)return 0===e.length&&B(this),null;var n,i=e.needReadable;return c("need readable",i),(0===e.length||e.length-t<e.highWaterMark)&&c("length less than watermark",i=!0),e.ended||e.reading?c("reading or ended",i=!1):i&&(c("do read"),e.reading=!0,e.sync=!0,0===e.length&&(e.needReadable=!0),this._read(e.highWaterMark),e.sync=!1,e.reading||(t=E(r,e))),null===(n=t>0?F(t,e):null)?(e.needReadable=e.length<=e.highWaterMark,t=0):(e.length-=t,e.awaitDrain=0),0===e.length&&(e.ended||(e.needReadable=!0),r!==t&&e.ended&&B(this)),null!==n&&this.emit("data",n),n},A.prototype._read=function(t){w(this,new b("_read()"))},A.prototype.pipe=function(t,e){var n=this,i=this._readableState;switch(i.pipesCount){case 0:i.pipes=t;break;case 1:i.pipes=[i.pipes,t];break;default:i.pipes.push(t)}i.pipesCount+=1,c("pipe count=%d opts=%j",i.pipesCount,e);var o=(!e||!1!==e.end)&&t!==r.stdout&&t!==r.stderr?l:g;function s(e,r){c("onunpipe"),e===n&&r&&!1===r.hasUnpiped&&(r.hasUnpiped=!0,c("cleanup"),t.removeListener("close",d),t.removeListener("finish",m),t.removeListener("drain",u),t.removeListener("error",p),t.removeListener("unpipe",s),n.removeListener("end",l),n.removeListener("end",g),n.removeListener("data",h),f=!0,!i.awaitDrain||t._writableState&&!t._writableState.needDrain||u())}function l(){c("onend"),t.end()}i.endEmitted?r.nextTick(o):n.once("end",o),t.on("unpipe",s);var u=function(t){return function(){var e=t._readableState;c("pipeOnDrain",e.awaitDrain),e.awaitDrain&&e.awaitDrain--,0===e.awaitDrain&&a(t,"data")&&(e.flowing=!0,R(t))}}(n);t.on("drain",u);var f=!1;function h(e){c("ondata");var r=t.write(e);c("dest.write",r),!1===r&&((1===i.pipesCount&&i.pipes===t||i.pipesCount>1&&-1!==j(i.pipes,t))&&!f&&(c("false write response, pause",i.awaitDrain),i.awaitDrain++),n.pause())}function p(e){c("onerror",e),g(),t.removeListener("error",p),0===a(t,"error")&&w(t,e)}function d(){t.removeListener("finish",m),g()}function m(){c("onfinish"),t.removeListener("close",d),g()}function g(){c("unpipe"),n.unpipe(t)}return n.on("data",h),function(t,e,r){if("function"==typeof t.prependListener)return t.prependListener(e,r);t._events&&t._events[e]?Array.isArray(t._events[e])?t._events[e].unshift(r):t._events[e]=[r,t._events[e]]:t.on(e,r)}(t,"error",p),t.once("close",d),t.once("finish",m),t.emit("pipe",n),i.flowing||(c("pipe resume"),n.resume()),t},A.prototype.unpipe=function(t){var e=this._readableState,r={hasUnpiped:!1};if(0===e.pipesCount)return this;if(1===e.pipesCount)return t&&t!==e.pipes||(t||(t=e.pipes),e.pipes=null,e.pipesCount=0,e.flowing=!1,t&&t.emit("unpipe",this,r)),this;if(!t){var n=e.pipes,i=e.pipesCount;e.pipes=null,e.pipesCount=0,e.flowing=!1;for(var a=0;a<i;a++)n[a].emit("unpipe",this,{hasUnpiped:!1});return this}var o=j(e.pipes,t);return-1===o||(e.pipes.splice(o,1),e.pipesCount-=1,1===e.pipesCount&&(e.pipes=e.pipes[0]),t.emit("unpipe",this,r)),this},A.prototype.on=function(t,e){var n=o.prototype.on.call(this,t,e),i=this._readableState;return"data"===t?(i.readableListening=this.listenerCount("readable")>0,!1!==i.flowing&&this.resume()):"readable"===t&&(i.endEmitted||i.readableListening||(i.readableListening=i.needReadable=!0,i.flowing=!1,i.emittedReadable=!1,c("on readable",i.length,i.reading),i.length?L(this):i.reading||r.nextTick(z,this))),n},A.prototype.addListener=A.prototype.on,A.prototype.removeListener=function(t,e){var n=o.prototype.removeListener.call(this,t,e);return"readable"===t&&r.nextTick(O,this),n},A.prototype.removeAllListeners=function(t){var e=o.prototype.removeAllListeners.apply(this,arguments);return"readable"!==t&&void 0!==t||r.nextTick(O,this),e},A.prototype.resume=function(){var t=this._readableState;return t.flowing||(c("resume"),t.flowing=!t.readableListening,function(t,e){e.resumeScheduled||(e.resumeScheduled=!0,r.nextTick(D,t,e))}(this,t)),t.paused=!1,this},A.prototype.pause=function(){return c("call pause flowing=%j",this._readableState.flowing),!1!==this._readableState.flowing&&(c("pause"),this._readableState.flowing=!1,this.emit("pause")),this._readableState.paused=!0,this},A.prototype.wrap=function(t){var e=this,r=this._readableState,n=!1;for(var i in t.on("end",(function(){if(c("wrapped end"),r.decoder&&!r.ended){var t=r.decoder.end();t&&t.length&&e.push(t)}e.push(null)})),t.on("data",(function(i){(c("wrapped data"),r.decoder&&(i=r.decoder.write(i)),r.objectMode&&null==i)||(r.objectMode||i&&i.length)&&(e.push(i)||(n=!0,t.pause()))})),t)void 0===this[i]&&"function"==typeof t[i]&&(this[i]=function(e){return function(){return t[e].apply(t,arguments)}}(i));for(var a=0;a<T.length;a++)t.on(T[a],this.emit.bind(this,T[a]));return this._read=function(e){c("wrapped _read",e),n&&(n=!1,t.resume())},this},"function"==typeof Symbol&&(A.prototype[Symbol.asyncIterator]=function(){return void 0===h&&(h=t("./internal/streams/async_iterator")),h(this)}),Object.defineProperty(A.prototype,"readableHighWaterMark",{enumerable:!1,get:function(){return this._readableState.highWaterMark}}),Object.defineProperty(A.prototype,"readableBuffer",{enumerable:!1,get:function(){return this._readableState&&this._readableState.buffer}}),Object.defineProperty(A.prototype,"readableFlowing",{enumerable:!1,get:function(){return this._readableState.flowing},set:function(t){this._readableState&&(this._readableState.flowing=t)}}),A._fromList=F,Object.defineProperty(A.prototype,"readableLength",{enumerable:!1,get:function(){return this._readableState.length}}),"function"==typeof Symbol&&(A.from=function(e,r){return void 0===p&&(p=t("./internal/streams/from")),p(A,e,r)})}).call(this)}).call(this,t("_process"),"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"../errors":281,"./_stream_duplex":282,"./internal/streams/async_iterator":287,"./internal/streams/buffer_list":288,"./internal/streams/destroy":289,"./internal/streams/from":291,"./internal/streams/state":293,"./internal/streams/stream":294,_process:272,buffer:80,events:181,inherits:226,"string_decoder/":300,util:79}],285:[function(t,e,r){"use strict";e.exports=u;var n=t("../errors").codes,i=n.ERR_METHOD_NOT_IMPLEMENTED,a=n.ERR_MULTIPLE_CALLBACK,o=n.ERR_TRANSFORM_ALREADY_TRANSFORMING,s=n.ERR_TRANSFORM_WITH_LENGTH_0,l=t("./_stream_duplex");function c(t,e){var r=this._transformState;r.transforming=!1;var n=r.writecb;if(null===n)return this.emit("error",new a);r.writechunk=null,r.writecb=null,null!=e&&this.push(e),n(t);var i=this._readableState;i.reading=!1,(i.needReadable||i.length<i.highWaterMark)&&this._read(i.highWaterMark)}function u(t){if(!(this instanceof u))return new u(t);l.call(this,t),this._transformState={afterTransform:c.bind(this),needTransform:!1,transforming:!1,writecb:null,writechunk:null,writeencoding:null},this._readableState.needReadable=!0,this._readableState.sync=!1,t&&("function"==typeof t.transform&&(this._transform=t.transform),"function"==typeof t.flush&&(this._flush=t.flush)),this.on("prefinish",f)}function f(){var t=this;"function"!=typeof this._flush||this._readableState.destroyed?h(this,null,null):this._flush((function(e,r){h(t,e,r)}))}function h(t,e,r){if(e)return t.emit("error",e);if(null!=r&&t.push(r),t._writableState.length)throw new s;if(t._transformState.transforming)throw new o;return t.push(null)}t("inherits")(u,l),u.prototype.push=function(t,e){return this._transformState.needTransform=!1,l.prototype.push.call(this,t,e)},u.prototype._transform=function(t,e,r){r(new i("_transform()"))},u.prototype._write=function(t,e,r){var n=this._transformState;if(n.writecb=r,n.writechunk=t,n.writeencoding=e,!n.transforming){var i=this._readableState;(n.needTransform||i.needReadable||i.length<i.highWaterMark)&&this._read(i.highWaterMark)}},u.prototype._read=function(t){var e=this._transformState;null===e.writechunk||e.transforming?e.needTransform=!0:(e.transforming=!0,this._transform(e.writechunk,e.writeencoding,e.afterTransform))},u.prototype._destroy=function(t,e){l.prototype._destroy.call(this,t,(function(t){e(t)}))}},{"../errors":281,"./_stream_duplex":282,inherits:226}],286:[function(t,e,r){(function(r,n){(function(){"use strict";function i(t){var e=this;this.next=null,this.entry=null,this.finish=function(){!function(t,e,r){var n=t.entry;t.entry=null;for(;n;){var i=n.callback;e.pendingcb--,i(r),n=n.next}e.corkedRequestsFree.next=t}(e,t)}}var a;e.exports=A,A.WritableState=k;var o={deprecate:t("util-deprecate")},s=t("./internal/streams/stream"),l=t("buffer").Buffer,c=n.Uint8Array||function(){};var u,f=t("./internal/streams/destroy"),h=t("./internal/streams/state").getHighWaterMark,p=t("../errors").codes,d=p.ERR_INVALID_ARG_TYPE,m=p.ERR_METHOD_NOT_IMPLEMENTED,g=p.ERR_MULTIPLE_CALLBACK,v=p.ERR_STREAM_CANNOT_PIPE,y=p.ERR_STREAM_DESTROYED,x=p.ERR_STREAM_NULL_VALUES,b=p.ERR_STREAM_WRITE_AFTER_END,_=p.ERR_UNKNOWN_ENCODING,w=f.errorOrDestroy;function T(){}function k(e,n,o){a=a||t("./_stream_duplex"),e=e||{},"boolean"!=typeof o&&(o=n instanceof a),this.objectMode=!!e.objectMode,o&&(this.objectMode=this.objectMode||!!e.writableObjectMode),this.highWaterMark=h(this,e,"writableHighWaterMark",o),this.finalCalled=!1,this.needDrain=!1,this.ending=!1,this.ended=!1,this.finished=!1,this.destroyed=!1;var s=!1===e.decodeStrings;this.decodeStrings=!s,this.defaultEncoding=e.defaultEncoding||"utf8",this.length=0,this.writing=!1,this.corked=0,this.sync=!0,this.bufferProcessing=!1,this.onwrite=function(t){!function(t,e){var n=t._writableState,i=n.sync,a=n.writecb;if("function"!=typeof a)throw new g;if(function(t){t.writing=!1,t.writecb=null,t.length-=t.writelen,t.writelen=0}(n),e)!function(t,e,n,i,a){--e.pendingcb,n?(r.nextTick(a,i),r.nextTick(P,t,e),t._writableState.errorEmitted=!0,w(t,i)):(a(i),t._writableState.errorEmitted=!0,w(t,i),P(t,e))}(t,n,i,e,a);else{var o=L(n)||t.destroyed;o||n.corked||n.bufferProcessing||!n.bufferedRequest||E(t,n),i?r.nextTick(S,t,n,o,a):S(t,n,o,a)}}(n,t)},this.writecb=null,this.writelen=0,this.bufferedRequest=null,this.lastBufferedRequest=null,this.pendingcb=0,this.prefinished=!1,this.errorEmitted=!1,this.emitClose=!1!==e.emitClose,this.autoDestroy=!!e.autoDestroy,this.bufferedRequestCount=0,this.corkedRequestsFree=new i(this)}function A(e){var r=this instanceof(a=a||t("./_stream_duplex"));if(!r&&!u.call(A,this))return new A(e);this._writableState=new k(e,this,r),this.writable=!0,e&&("function"==typeof e.write&&(this._write=e.write),"function"==typeof e.writev&&(this._writev=e.writev),"function"==typeof e.destroy&&(this._destroy=e.destroy),"function"==typeof e.final&&(this._final=e.final)),s.call(this)}function M(t,e,r,n,i,a,o){e.writelen=n,e.writecb=o,e.writing=!0,e.sync=!0,e.destroyed?e.onwrite(new y("write")):r?t._writev(i,e.onwrite):t._write(i,a,e.onwrite),e.sync=!1}function S(t,e,r,n){r||function(t,e){0===e.length&&e.needDrain&&(e.needDrain=!1,t.emit("drain"))}(t,e),e.pendingcb--,n(),P(t,e)}function E(t,e){e.bufferProcessing=!0;var r=e.bufferedRequest;if(t._writev&&r&&r.next){var n=e.bufferedRequestCount,a=new Array(n),o=e.corkedRequestsFree;o.entry=r;for(var s=0,l=!0;r;)a[s]=r,r.isBuf||(l=!1),r=r.next,s+=1;a.allBuffers=l,M(t,e,!0,e.length,a,"",o.finish),e.pendingcb++,e.lastBufferedRequest=null,o.next?(e.corkedRequestsFree=o.next,o.next=null):e.corkedRequestsFree=new i(e),e.bufferedRequestCount=0}else{for(;r;){var c=r.chunk,u=r.encoding,f=r.callback;if(M(t,e,!1,e.objectMode?1:c.length,c,u,f),r=r.next,e.bufferedRequestCount--,e.writing)break}null===r&&(e.lastBufferedRequest=null)}e.bufferedRequest=r,e.bufferProcessing=!1}function L(t){return t.ending&&0===t.length&&null===t.bufferedRequest&&!t.finished&&!t.writing}function C(t,e){t._final((function(r){e.pendingcb--,r&&w(t,r),e.prefinished=!0,t.emit("prefinish"),P(t,e)}))}function P(t,e){var n=L(e);if(n&&(function(t,e){e.prefinished||e.finalCalled||("function"!=typeof t._final||e.destroyed?(e.prefinished=!0,t.emit("prefinish")):(e.pendingcb++,e.finalCalled=!0,r.nextTick(C,t,e)))}(t,e),0===e.pendingcb&&(e.finished=!0,t.emit("finish"),e.autoDestroy))){var i=t._readableState;(!i||i.autoDestroy&&i.endEmitted)&&t.destroy()}return n}t("inherits")(A,s),k.prototype.getBuffer=function(){for(var t=this.bufferedRequest,e=[];t;)e.push(t),t=t.next;return e},function(){try{Object.defineProperty(k.prototype,"buffer",{get:o.deprecate((function(){return this.getBuffer()}),"_writableState.buffer is deprecated. Use _writableState.getBuffer instead.","DEP0003")})}catch(t){}}(),"function"==typeof Symbol&&Symbol.hasInstance&&"function"==typeof Function.prototype[Symbol.hasInstance]?(u=Function.prototype[Symbol.hasInstance],Object.defineProperty(A,Symbol.hasInstance,{value:function(t){return!!u.call(this,t)||this===A&&(t&&t._writableState instanceof k)}})):u=function(t){return t instanceof this},A.prototype.pipe=function(){w(this,new v)},A.prototype.write=function(t,e,n){var i,a=this._writableState,o=!1,s=!a.objectMode&&(i=t,l.isBuffer(i)||i instanceof c);return s&&!l.isBuffer(t)&&(t=function(t){return l.from(t)}(t)),"function"==typeof e&&(n=e,e=null),s?e="buffer":e||(e=a.defaultEncoding),"function"!=typeof n&&(n=T),a.ending?function(t,e){var n=new b;w(t,n),r.nextTick(e,n)}(this,n):(s||function(t,e,n,i){var a;return null===n?a=new x:"string"==typeof n||e.objectMode||(a=new d("chunk",["string","Buffer"],n)),!a||(w(t,a),r.nextTick(i,a),!1)}(this,a,t,n))&&(a.pendingcb++,o=function(t,e,r,n,i,a){if(!r){var o=function(t,e,r){t.objectMode||!1===t.decodeStrings||"string"!=typeof e||(e=l.from(e,r));return e}(e,n,i);n!==o&&(r=!0,i="buffer",n=o)}var s=e.objectMode?1:n.length;e.length+=s;var c=e.length<e.highWaterMark;c||(e.needDrain=!0);if(e.writing||e.corked){var u=e.lastBufferedRequest;e.lastBufferedRequest={chunk:n,encoding:i,isBuf:r,callback:a,next:null},u?u.next=e.lastBufferedRequest:e.bufferedRequest=e.lastBufferedRequest,e.bufferedRequestCount+=1}else M(t,e,!1,s,n,i,a);return c}(this,a,s,t,e,n)),o},A.prototype.cork=function(){this._writableState.corked++},A.prototype.uncork=function(){var t=this._writableState;t.corked&&(t.corked--,t.writing||t.corked||t.bufferProcessing||!t.bufferedRequest||E(this,t))},A.prototype.setDefaultEncoding=function(t){if("string"==typeof t&&(t=t.toLowerCase()),!(["hex","utf8","utf-8","ascii","binary","base64","ucs2","ucs-2","utf16le","utf-16le","raw"].indexOf((t+"").toLowerCase())>-1))throw new _(t);return this._writableState.defaultEncoding=t,this},Object.defineProperty(A.prototype,"writableBuffer",{enumerable:!1,get:function(){return this._writableState&&this._writableState.getBuffer()}}),Object.defineProperty(A.prototype,"writableHighWaterMark",{enumerable:!1,get:function(){return this._writableState.highWaterMark}}),A.prototype._write=function(t,e,r){r(new m("_write()"))},A.prototype._writev=null,A.prototype.end=function(t,e,n){var i=this._writableState;return"function"==typeof t?(n=t,t=null,e=null):"function"==typeof e&&(n=e,e=null),null!=t&&this.write(t,e),i.corked&&(i.corked=1,this.uncork()),i.ending||function(t,e,n){e.ending=!0,P(t,e),n&&(e.finished?r.nextTick(n):t.once("finish",n));e.ended=!0,t.writable=!1}(this,i,n),this},Object.defineProperty(A.prototype,"writableLength",{enumerable:!1,get:function(){return this._writableState.length}}),Object.defineProperty(A.prototype,"destroyed",{enumerable:!1,get:function(){return void 0!==this._writableState&&this._writableState.destroyed},set:function(t){this._writableState&&(this._writableState.destroyed=t)}}),A.prototype.destroy=f.destroy,A.prototype._undestroy=f.undestroy,A.prototype._destroy=function(t,e){e(t)}}).call(this)}).call(this,t("_process"),"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"../errors":281,"./_stream_duplex":282,"./internal/streams/destroy":289,"./internal/streams/state":293,"./internal/streams/stream":294,_process:272,buffer:80,inherits:226,"util-deprecate":325}],287:[function(t,e,r){(function(r){(function(){"use strict";var n;function i(t,e,r){return e in t?Object.defineProperty(t,e,{value:r,enumerable:!0,configurable:!0,writable:!0}):t[e]=r,t}var a=t("./end-of-stream"),o=Symbol("lastResolve"),s=Symbol("lastReject"),l=Symbol("error"),c=Symbol("ended"),u=Symbol("lastPromise"),f=Symbol("handlePromise"),h=Symbol("stream");function p(t,e){return{value:t,done:e}}function d(t){var e=t[o];if(null!==e){var r=t[h].read();null!==r&&(t[u]=null,t[o]=null,t[s]=null,e(p(r,!1)))}}function m(t){r.nextTick(d,t)}var g=Object.getPrototypeOf((function(){})),v=Object.setPrototypeOf((i(n={get stream(){return this[h]},next:function(){var t=this,e=this[l];if(null!==e)return Promise.reject(e);if(this[c])return Promise.resolve(p(void 0,!0));if(this[h].destroyed)return new Promise((function(e,n){r.nextTick((function(){t[l]?n(t[l]):e(p(void 0,!0))}))}));var n,i=this[u];if(i)n=new Promise(function(t,e){return function(r,n){t.then((function(){e[c]?r(p(void 0,!0)):e[f](r,n)}),n)}}(i,this));else{var a=this[h].read();if(null!==a)return Promise.resolve(p(a,!1));n=new Promise(this[f])}return this[u]=n,n}},Symbol.asyncIterator,(function(){return this})),i(n,"return",(function(){var t=this;return new Promise((function(e,r){t[h].destroy(null,(function(t){t?r(t):e(p(void 0,!0))}))}))})),n),g);e.exports=function(t){var e,r=Object.create(v,(i(e={},h,{value:t,writable:!0}),i(e,o,{value:null,writable:!0}),i(e,s,{value:null,writable:!0}),i(e,l,{value:null,writable:!0}),i(e,c,{value:t._readableState.endEmitted,writable:!0}),i(e,f,{value:function(t,e){var n=r[h].read();n?(r[u]=null,r[o]=null,r[s]=null,t(p(n,!1))):(r[o]=t,r[s]=e)},writable:!0}),e));return r[u]=null,a(t,(function(t){if(t&&"ERR_STREAM_PREMATURE_CLOSE"!==t.code){var e=r[s];return null!==e&&(r[u]=null,r[o]=null,r[s]=null,e(t)),void(r[l]=t)}var n=r[o];null!==n&&(r[u]=null,r[o]=null,r[s]=null,n(p(void 0,!0))),r[c]=!0})),t.on("readable",m.bind(null,r)),r}}).call(this)}).call(this,t("_process"))},{"./end-of-stream":290,_process:272}],288:[function(t,e,r){"use strict";function n(t,e){var r=Object.keys(t);if(Object.getOwnPropertySymbols){var n=Object.getOwnPropertySymbols(t);e&&(n=n.filter((function(e){return Object.getOwnPropertyDescriptor(t,e).enumerable}))),r.push.apply(r,n)}return r}function i(t,e,r){return e in t?Object.defineProperty(t,e,{value:r,enumerable:!0,configurable:!0,writable:!0}):t[e]=r,t}function a(t,e){for(var r=0;r<e.length;r++){var n=e[r];n.enumerable=n.enumerable||!1,n.configurable=!0,"value"in n&&(n.writable=!0),Object.defineProperty(t,n.key,n)}}var o=t("buffer").Buffer,s=t("util").inspect,l=s&&s.custom||"inspect";e.exports=function(){function t(){!function(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}(this,t),this.head=null,this.tail=null,this.length=0}var e,r,c;return e=t,(r=[{key:"push",value:function(t){var e={data:t,next:null};this.length>0?this.tail.next=e:this.head=e,this.tail=e,++this.length}},{key:"unshift",value:function(t){var e={data:t,next:this.head};0===this.length&&(this.tail=e),this.head=e,++this.length}},{key:"shift",value:function(){if(0!==this.length){var t=this.head.data;return 1===this.length?this.head=this.tail=null:this.head=this.head.next,--this.length,t}}},{key:"clear",value:function(){this.head=this.tail=null,this.length=0}},{key:"join",value:function(t){if(0===this.length)return"";for(var e=this.head,r=""+e.data;e=e.next;)r+=t+e.data;return r}},{key:"concat",value:function(t){if(0===this.length)return o.alloc(0);for(var e,r,n,i=o.allocUnsafe(t>>>0),a=this.head,s=0;a;)e=a.data,r=i,n=s,o.prototype.copy.call(e,r,n),s+=a.data.length,a=a.next;return i}},{key:"consume",value:function(t,e){var r;return t<this.head.data.length?(r=this.head.data.slice(0,t),this.head.data=this.head.data.slice(t)):r=t===this.head.data.length?this.shift():e?this._getString(t):this._getBuffer(t),r}},{key:"first",value:function(){return this.head.data}},{key:"_getString",value:function(t){var e=this.head,r=1,n=e.data;for(t-=n.length;e=e.next;){var i=e.data,a=t>i.length?i.length:t;if(a===i.length?n+=i:n+=i.slice(0,t),0==(t-=a)){a===i.length?(++r,e.next?this.head=e.next:this.head=this.tail=null):(this.head=e,e.data=i.slice(a));break}++r}return this.length-=r,n}},{key:"_getBuffer",value:function(t){var e=o.allocUnsafe(t),r=this.head,n=1;for(r.data.copy(e),t-=r.data.length;r=r.next;){var i=r.data,a=t>i.length?i.length:t;if(i.copy(e,e.length-t,0,a),0==(t-=a)){a===i.length?(++n,r.next?this.head=r.next:this.head=this.tail=null):(this.head=r,r.data=i.slice(a));break}++n}return this.length-=n,e}},{key:l,value:function(t,e){return s(this,function(t){for(var e=1;e<arguments.length;e++){var r=null!=arguments[e]?arguments[e]:{};e%2?n(Object(r),!0).forEach((function(e){i(t,e,r[e])})):Object.getOwnPropertyDescriptors?Object.defineProperties(t,Object.getOwnPropertyDescriptors(r)):n(Object(r)).forEach((function(e){Object.defineProperty(t,e,Object.getOwnPropertyDescriptor(r,e))}))}return t}({},e,{depth:0,customInspect:!1}))}}])&&a(e.prototype,r),c&&a(e,c),t}()},{buffer:80,util:79}],289:[function(t,e,r){(function(t){(function(){"use strict";function r(t,e){i(t,e),n(t)}function n(t){t._writableState&&!t._writableState.emitClose||t._readableState&&!t._readableState.emitClose||t.emit("close")}function i(t,e){t.emit("error",e)}e.exports={destroy:function(e,a){var o=this,s=this._readableState&&this._readableState.destroyed,l=this._writableState&&this._writableState.destroyed;return s||l?(a?a(e):e&&(this._writableState?this._writableState.errorEmitted||(this._writableState.errorEmitted=!0,t.nextTick(i,this,e)):t.nextTick(i,this,e)),this):(this._readableState&&(this._readableState.destroyed=!0),this._writableState&&(this._writableState.destroyed=!0),this._destroy(e||null,(function(e){!a&&e?o._writableState?o._writableState.errorEmitted?t.nextTick(n,o):(o._writableState.errorEmitted=!0,t.nextTick(r,o,e)):t.nextTick(r,o,e):a?(t.nextTick(n,o),a(e)):t.nextTick(n,o)})),this)},undestroy:function(){this._readableState&&(this._readableState.destroyed=!1,this._readableState.reading=!1,this._readableState.ended=!1,this._readableState.endEmitted=!1),this._writableState&&(this._writableState.destroyed=!1,this._writableState.ended=!1,this._writableState.ending=!1,this._writableState.finalCalled=!1,this._writableState.prefinished=!1,this._writableState.finished=!1,this._writableState.errorEmitted=!1)},errorOrDestroy:function(t,e){var r=t._readableState,n=t._writableState;r&&r.autoDestroy||n&&n.autoDestroy?t.destroy(e):t.emit("error",e)}}}).call(this)}).call(this,t("_process"))},{_process:272}],290:[function(t,e,r){"use strict";var n=t("../../../errors").codes.ERR_STREAM_PREMATURE_CLOSE;function i(){}e.exports=function t(e,r,a){if("function"==typeof r)return t(e,null,r);r||(r={}),a=function(t){var e=!1;return function(){if(!e){e=!0;for(var r=arguments.length,n=new Array(r),i=0;i<r;i++)n[i]=arguments[i];t.apply(this,n)}}}(a||i);var o=r.readable||!1!==r.readable&&e.readable,s=r.writable||!1!==r.writable&&e.writable,l=function(){e.writable||u()},c=e._writableState&&e._writableState.finished,u=function(){s=!1,c=!0,o||a.call(e)},f=e._readableState&&e._readableState.endEmitted,h=function(){o=!1,f=!0,s||a.call(e)},p=function(t){a.call(e,t)},d=function(){var t;return o&&!f?(e._readableState&&e._readableState.ended||(t=new n),a.call(e,t)):s&&!c?(e._writableState&&e._writableState.ended||(t=new n),a.call(e,t)):void 0},m=function(){e.req.on("finish",u)};return!function(t){return t.setHeader&&"function"==typeof t.abort}(e)?s&&!e._writableState&&(e.on("end",l),e.on("close",l)):(e.on("complete",u),e.on("abort",d),e.req?m():e.on("request",m)),e.on("end",h),e.on("finish",u),!1!==r.error&&e.on("error",p),e.on("close",d),function(){e.removeListener("complete",u),e.removeListener("abort",d),e.removeListener("request",m),e.req&&e.req.removeListener("finish",u),e.removeListener("end",l),e.removeListener("close",l),e.removeListener("finish",u),e.removeListener("end",h),e.removeListener("error",p),e.removeListener("close",d)}}},{"../../../errors":281}],291:[function(t,e,r){e.exports=function(){throw new Error("Readable.from is not available in the browser")}},{}],292:[function(t,e,r){"use strict";var n;var i=t("../../../errors").codes,a=i.ERR_MISSING_ARGS,o=i.ERR_STREAM_DESTROYED;function s(t){if(t)throw t}function l(e,r,i,a){a=function(t){var e=!1;return function(){e||(e=!0,t.apply(void 0,arguments))}}(a);var s=!1;e.on("close",(function(){s=!0})),void 0===n&&(n=t("./end-of-stream")),n(e,{readable:r,writable:i},(function(t){if(t)return a(t);s=!0,a()}));var l=!1;return function(t){if(!s&&!l)return l=!0,function(t){return t.setHeader&&"function"==typeof t.abort}(e)?e.abort():"function"==typeof e.destroy?e.destroy():void a(t||new o("pipe"))}}function c(t){t()}function u(t,e){return t.pipe(e)}function f(t){return t.length?"function"!=typeof t[t.length-1]?s:t.pop():s}e.exports=function(){for(var t=arguments.length,e=new Array(t),r=0;r<t;r++)e[r]=arguments[r];var n,i=f(e);if(Array.isArray(e[0])&&(e=e[0]),e.length<2)throw new a("streams");var o=e.map((function(t,r){var a=r<e.length-1;return l(t,a,r>0,(function(t){n||(n=t),t&&o.forEach(c),a||(o.forEach(c),i(n))}))}));return e.reduce(u)}},{"../../../errors":281,"./end-of-stream":290}],293:[function(t,e,r){"use strict";var n=t("../../../errors").codes.ERR_INVALID_OPT_VALUE;e.exports={getHighWaterMark:function(t,e,r,i){var a=function(t,e,r){return null!=t.highWaterMark?t.highWaterMark:e?t[r]:null}(e,i,r);if(null!=a){if(!isFinite(a)||Math.floor(a)!==a||a<0)throw new n(i?r:"highWaterMark",a);return Math.floor(a)}return t.objectMode?16:16384}}},{"../../../errors":281}],294:[function(t,e,r){e.exports=t("events").EventEmitter},{events:181}],295:[function(t,e,r){(function(r,n){(function(){var r=t("assert"),i=t("debug")("stream-parser");e.exports=function(t){var e=t&&"function"==typeof t._transform,r=t&&"function"==typeof t._write;if(!e&&!r)throw new Error("must pass a Writable or Transform stream in");i("extending Parser into stream"),t._bytes=o,t._skipBytes=s,e&&(t._passthrough=l);e?t._transform=u:t._write=c};function a(t){i("initializing parser stream"),t._parserBytesLeft=0,t._parserBuffers=[],t._parserBuffered=0,t._parserState=-1,t._parserCallback=null,"function"==typeof t.push&&(t._parserOutput=t.push.bind(t)),t._parserInit=!0}function o(t,e){r(!this._parserCallback,'there is already a "callback" set!'),r(isFinite(t)&&t>0,'can only buffer a finite number of bytes > 0, got "'+t+'"'),this._parserInit||a(this),i("buffering %o bytes",t),this._parserBytesLeft=t,this._parserCallback=e,this._parserState=0}function s(t,e){r(!this._parserCallback,'there is already a "callback" set!'),r(t>0,'can only skip > 0 bytes, got "'+t+'"'),this._parserInit||a(this),i("skipping %o bytes",t),this._parserBytesLeft=t,this._parserCallback=e,this._parserState=1}function l(t,e){r(!this._parserCallback,'There is already a "callback" set!'),r(t>0,'can only pass through > 0 bytes, got "'+t+'"'),this._parserInit||a(this),i("passing through %o bytes",t),this._parserBytesLeft=t,this._parserCallback=e,this._parserState=2}function c(t,e,r){this._parserInit||a(this),i("write(%o bytes)",t.length),"function"==typeof e&&(r=e),h(this,t,null,r)}function u(t,e,r){this._parserInit||a(this),i("transform(%o bytes)",t.length),"function"!=typeof e&&(e=this._parserOutput),h(this,t,e,r)}function f(t,e,r,a){if(t._parserBytesLeft-=e.length,i("%o bytes left for stream piece",t._parserBytesLeft),0===t._parserState?(t._parserBuffers.push(e),t._parserBuffered+=e.length):2===t._parserState&&r(e),0!==t._parserBytesLeft)return a;var o=t._parserCallback;if(o&&0===t._parserState&&t._parserBuffers.length>1&&(e=n.concat(t._parserBuffers,t._parserBuffered)),0!==t._parserState&&(e=null),t._parserCallback=null,t._parserBuffered=0,t._parserState=-1,t._parserBuffers.splice(0),o){var s=[];e&&s.push(e),r&&s.push(r);var l=o.length>s.length;l&&s.push(p(a));var c=o.apply(t,s);if(!l||a===c)return a}}var h=p((function t(e,r,n,i){return e._parserBytesLeft<=0?i(new Error("got data but not currently parsing anything")):r.length<=e._parserBytesLeft?function(){return f(e,r,n,i)}:function(){var a=r.slice(0,e._parserBytesLeft);return f(e,a,n,(function(o){return o?i(o):r.length>a.length?function(){return t(e,r.slice(a.length),n,i)}:void 0}))}}));function p(t){return function(){for(var e=t.apply(this,arguments);"function"==typeof e;)e=e();return e}}}).call(this)}).call(this,t("_process"),t("buffer").Buffer)},{_process:272,assert:71,buffer:80,debug:296}],296:[function(t,e,r){(function(n){(function(){function i(){var t;try{t=r.storage.debug}catch(t){}return!t&&void 0!==n&&"env"in n&&(t=n.env.DEBUG),t}(r=e.exports=t("./debug")).log=function(){return"object"==typeof console&&console.log&&Function.prototype.apply.call(console.log,console,arguments)},r.formatArgs=function(t){var e=this.useColors;if(t[0]=(e?"%c":"")+this.namespace+(e?" %c":" ")+t[0]+(e?"%c ":" ")+"+"+r.humanize(this.diff),!e)return;var n="color: "+this.color;t.splice(1,0,n,"color: inherit");var i=0,a=0;t[0].replace(/%[a-zA-Z%]/g,(function(t){"%%"!==t&&(i++,"%c"===t&&(a=i))})),t.splice(a,0,n)},r.save=function(t){try{null==t?r.storage.removeItem("debug"):r.storage.debug=t}catch(t){}},r.load=i,r.useColors=function(){if("undefined"!=typeof window&&window.process&&"renderer"===window.process.type)return!0;return"undefined"!=typeof document&&document.documentElement&&document.documentElement.style&&document.documentElement.style.WebkitAppearance||"undefined"!=typeof window&&window.console&&(window.console.firebug||window.console.exception&&window.console.table)||"undefined"!=typeof navigator&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/firefox\/(\d+)/)&&parseInt(RegExp.$1,10)>=31||"undefined"!=typeof navigator&&navigator.userAgent&&navigator.userAgent.toLowerCase().match(/applewebkit\/(\d+)/)},r.storage="undefined"!=typeof chrome&&void 0!==chrome.storage?chrome.storage.local:function(){try{return window.localStorage}catch(t){}}(),r.colors=["lightseagreen","forestgreen","goldenrod","dodgerblue","darkorchid","crimson"],r.formatters.j=function(t){try{return JSON.stringify(t)}catch(t){return"[UnexpectedJSONParseError]: "+t.message}},r.enable(i())}).call(this)}).call(this,t("_process"))},{"./debug":297,_process:272}],297:[function(t,e,r){var n;function i(t){function e(){if(e.enabled){var t=e,i=+new Date,a=i-(n||i);t.diff=a,t.prev=n,t.curr=i,n=i;for(var o=new Array(arguments.length),s=0;s<o.length;s++)o[s]=arguments[s];o[0]=r.coerce(o[0]),"string"!=typeof o[0]&&o.unshift("%O");var l=0;o[0]=o[0].replace(/%([a-zA-Z%])/g,(function(e,n){if("%%"===e)return e;l++;var i=r.formatters[n];if("function"==typeof i){var a=o[l];e=i.call(t,a),o.splice(l,1),l--}return e})),r.formatArgs.call(t,o);var c=e.log||r.log||console.log.bind(console);c.apply(t,o)}}return e.namespace=t,e.enabled=r.enabled(t),e.useColors=r.useColors(),e.color=function(t){var e,n=0;for(e in t)n=(n<<5)-n+t.charCodeAt(e),n|=0;return r.colors[Math.abs(n)%r.colors.length]}(t),"function"==typeof r.init&&r.init(e),e}(r=e.exports=i.debug=i.default=i).coerce=function(t){return t instanceof Error?t.stack||t.message:t},r.disable=function(){r.enable("")},r.enable=function(t){r.save(t),r.names=[],r.skips=[];for(var e=("string"==typeof t?t:"").split(/[\s,]+/),n=e.length,i=0;i<n;i++)e[i]&&("-"===(t=e[i].replace(/\*/g,".*?"))[0]?r.skips.push(new RegExp("^"+t.substr(1)+"$")):r.names.push(new RegExp("^"+t+"$")))},r.enabled=function(t){var e,n;for(e=0,n=r.skips.length;e<n;e++)if(r.skips[e].test(t))return!1;for(e=0,n=r.names.length;e<n;e++)if(r.names[e].test(t))return!0;return!1},r.humanize=t("ms"),r.names=[],r.skips=[],r.formatters={}},{ms:298}],298:[function(t,e,r){var n=1e3,i=6e4,a=60*i,o=24*a;function s(t,e,r){if(!(t<e))return t<1.5*e?Math.floor(t/e)+" "+r:Math.ceil(t/e)+" "+r+"s"}e.exports=function(t,e){e=e||{};var r,l=typeof t;if("string"===l&&t.length>0)return function(t){if((t=String(t)).length>100)return;var e=/^((?:\d+)?\.?\d+) *(milliseconds?|msecs?|ms|seconds?|secs?|s|minutes?|mins?|m|hours?|hrs?|h|days?|d|years?|yrs?|y)?$/i.exec(t);if(!e)return;var r=parseFloat(e[1]);switch((e[2]||"ms").toLowerCase()){case"years":case"year":case"yrs":case"yr":case"y":return 315576e5*r;case"days":case"day":case"d":return r*o;case"hours":case"hour":case"hrs":case"hr":case"h":return r*a;case"minutes":case"minute":case"mins":case"min":case"m":return r*i;case"seconds":case"second":case"secs":case"sec":case"s":return r*n;case"milliseconds":case"millisecond":case"msecs":case"msec":case"ms":return r;default:return}}(t);if("number"===l&&!1===isNaN(t))return e.long?s(r=t,o,"day")||s(r,a,"hour")||s(r,i,"minute")||s(r,n,"second")||r+" ms":function(t){if(t>=o)return Math.round(t/o)+"d";if(t>=a)return Math.round(t/a)+"h";if(t>=i)return Math.round(t/i)+"m";if(t>=n)return Math.round(t/n)+"s";return t+"ms"}(t);throw new Error("val is not a non-empty string or a valid number. val="+JSON.stringify(t))}},{}],299:[function(t,e,r){"use strict";var n=t("parenthesis");e.exports=function(t,e,r){if(null==t)throw Error("First argument should be a string");if(null==e)throw Error("Separator should be a string or a RegExp");r?("string"==typeof r||Array.isArray(r))&&(r={ignore:r}):r={},null==r.escape&&(r.escape=!0),null==r.ignore?r.ignore=["[]","()","{}","<>",'""',"''","``","\u201c\u201d","\xab\xbb"]:("string"==typeof r.ignore&&(r.ignore=[r.ignore]),r.ignore=r.ignore.map((function(t){return 1===t.length&&(t+=t),t})));var i=n.parse(t,{flat:!0,brackets:r.ignore}),a=i[0].split(e);if(r.escape){for(var o=[],s=0;s<a.length;s++){var l=a[s],c=a[s+1];"\\"===l[l.length-1]&&"\\"!==l[l.length-2]?(o.push(l+e+c),s++):o.push(l)}a=o}for(s=0;s<a.length;s++)i[0]=a[s],a[s]=n.stringify(i,{flat:!0});return a}},{parenthesis:243}],300:[function(t,e,r){"use strict";var n=t("safe-buffer").Buffer,i=n.isEncoding||function(t){switch((t=""+t)&&t.toLowerCase()){case"hex":case"utf8":case"utf-8":case"ascii":case"binary":case"base64":case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":case"raw":return!0;default:return!1}};function a(t){var e;switch(this.encoding=function(t){var e=function(t){if(!t)return"utf8";for(var e;;)switch(t){case"utf8":case"utf-8":return"utf8";case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return"utf16le";case"latin1":case"binary":return"latin1";case"base64":case"ascii":case"hex":return t;default:if(e)return;t=(""+t).toLowerCase(),e=!0}}(t);if("string"!=typeof e&&(n.isEncoding===i||!i(t)))throw new Error("Unknown encoding: "+t);return e||t}(t),this.encoding){case"utf16le":this.text=l,this.end=c,e=4;break;case"utf8":this.fillLast=s,e=4;break;case"base64":this.text=u,this.end=f,e=3;break;default:return this.write=h,void(this.end=p)}this.lastNeed=0,this.lastTotal=0,this.lastChar=n.allocUnsafe(e)}function o(t){return t<=127?0:t>>5==6?2:t>>4==14?3:t>>3==30?4:t>>6==2?-1:-2}function s(t){var e=this.lastTotal-this.lastNeed,r=function(t,e,r){if(128!=(192&e[0]))return t.lastNeed=0,"\ufffd";if(t.lastNeed>1&&e.length>1){if(128!=(192&e[1]))return t.lastNeed=1,"\ufffd";if(t.lastNeed>2&&e.length>2&&128!=(192&e[2]))return t.lastNeed=2,"\ufffd"}}(this,t);return void 0!==r?r:this.lastNeed<=t.length?(t.copy(this.lastChar,e,0,this.lastNeed),this.lastChar.toString(this.encoding,0,this.lastTotal)):(t.copy(this.lastChar,e,0,t.length),void(this.lastNeed-=t.length))}function l(t,e){if((t.length-e)%2==0){var r=t.toString("utf16le",e);if(r){var n=r.charCodeAt(r.length-1);if(n>=55296&&n<=56319)return this.lastNeed=2,this.lastTotal=4,this.lastChar[0]=t[t.length-2],this.lastChar[1]=t[t.length-1],r.slice(0,-1)}return r}return this.lastNeed=1,this.lastTotal=2,this.lastChar[0]=t[t.length-1],t.toString("utf16le",e,t.length-1)}function c(t){var e=t&&t.length?this.write(t):"";if(this.lastNeed){var r=this.lastTotal-this.lastNeed;return e+this.lastChar.toString("utf16le",0,r)}return e}function u(t,e){var r=(t.length-e)%3;return 0===r?t.toString("base64",e):(this.lastNeed=3-r,this.lastTotal=3,1===r?this.lastChar[0]=t[t.length-1]:(this.lastChar[0]=t[t.length-2],this.lastChar[1]=t[t.length-1]),t.toString("base64",e,t.length-r))}function f(t){var e=t&&t.length?this.write(t):"";return this.lastNeed?e+this.lastChar.toString("base64",0,3-this.lastNeed):e}function h(t){return t.toString(this.encoding)}function p(t){return t&&t.length?this.write(t):""}r.StringDecoder=a,a.prototype.write=function(t){if(0===t.length)return"";var e,r;if(this.lastNeed){if(void 0===(e=this.fillLast(t)))return"";r=this.lastNeed,this.lastNeed=0}else r=0;return r<t.length?e?e+this.text(t,r):this.text(t,r):e||""},a.prototype.end=function(t){var e=t&&t.length?this.write(t):"";return this.lastNeed?e+"\ufffd":e},a.prototype.text=function(t,e){var r=function(t,e,r){var n=e.length-1;if(n<r)return 0;var i=o(e[n]);if(i>=0)return i>0&&(t.lastNeed=i-1),i;if(--n<r||-2===i)return 0;if((i=o(e[n]))>=0)return i>0&&(t.lastNeed=i-2),i;if(--n<r||-2===i)return 0;if((i=o(e[n]))>=0)return i>0&&(2===i?i=0:t.lastNeed=i-3),i;return 0}(this,t,e);if(!this.lastNeed)return t.toString("utf8",e);this.lastTotal=r;var n=t.length-(r-this.lastNeed);return t.copy(this.lastChar,0,n),t.toString("utf8",e,n)},a.prototype.fillLast=function(t){if(this.lastNeed<=t.length)return t.copy(this.lastChar,this.lastTotal-this.lastNeed,0,this.lastNeed),this.lastChar.toString(this.encoding,0,this.lastTotal);t.copy(this.lastChar,this.lastTotal-this.lastNeed,0,t.length),this.lastNeed-=t.length}},{"safe-buffer":279}],301:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.length,r=new Array(e),n=new Array(e),i=new Array(e),a=new Array(e),o=new Array(e),s=new Array(e),l=0;l<e;++l)r[l]=-1,n[l]=0,i[l]=!1,a[l]=0,o[l]=-1,s[l]=[];var c,u=0,f=[],h=[];function p(e){var l=[e],c=[e];for(r[e]=n[e]=u,i[e]=!0,u+=1;c.length>0;){e=c[c.length-1];var p=t[e];if(a[e]<p.length){for(var d=a[e];d<p.length;++d){var m=p[d];if(r[m]<0){r[m]=n[m]=u,i[m]=!0,u+=1,l.push(m),c.push(m);break}i[m]&&(n[e]=0|Math.min(n[e],n[m])),o[m]>=0&&s[e].push(o[m])}a[e]=d}else{if(n[e]===r[e]){var g=[],v=[],y=0;for(d=l.length-1;d>=0;--d){var x=l[d];if(i[x]=!1,g.push(x),v.push(s[x]),y+=s[x].length,o[x]=f.length,x===e){l.length=d;break}}f.push(g);var b=new Array(y);for(d=0;d<v.length;d++)for(var _=0;_<v[d].length;_++)b[--y]=v[d][_];h.push(b)}c.pop()}}}for(l=0;l<e;++l)r[l]<0&&p(l);for(l=0;l<h.length;l++){var d=h[l];if(0!==d.length){d.sort((function(t,e){return t-e})),c=[d[0]];for(var m=1;m<d.length;m++)d[m]!==d[m-1]&&c.push(d[m]);h[l]=c}}return{components:f,adjacencyList:h}}},{}],302:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=function(t,e){if(Array.isArray(t))return t;if(Symbol.iterator in Object(t))return function(t,e){var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{!n&&s.return&&s.return()}finally{if(i)throw a}}return r}(t,e);throw new TypeError("Invalid attempt to destructure non-iterable instance")},i=2*Math.PI,a=function(t,e,r,n,i,a,o){var s=t.x,l=t.y;return{x:n*(s*=e)-i*(l*=r)+a,y:i*s+n*l+o}},o=function(t,e){var r=1.5707963267948966===e?.551915024494:-1.5707963267948966===e?-.551915024494:4/3*Math.tan(e/4),n=Math.cos(t),i=Math.sin(t),a=Math.cos(t+e),o=Math.sin(t+e);return[{x:n-i*r,y:i+n*r},{x:a+o*r,y:o-a*r},{x:a,y:o}]},s=function(t,e,r,n){var i=t*r+e*n;return i>1&&(i=1),i<-1&&(i=-1),(t*n-e*r<0?-1:1)*Math.acos(i)};r.default=function(t){var e=t.px,r=t.py,l=t.cx,c=t.cy,u=t.rx,f=t.ry,h=t.xAxisRotation,p=void 0===h?0:h,d=t.largeArcFlag,m=void 0===d?0:d,g=t.sweepFlag,v=void 0===g?0:g,y=[];if(0===u||0===f)return[];var x=Math.sin(p*i/360),b=Math.cos(p*i/360),_=b*(e-l)/2+x*(r-c)/2,w=-x*(e-l)/2+b*(r-c)/2;if(0===_&&0===w)return[];u=Math.abs(u),f=Math.abs(f);var T=Math.pow(_,2)/Math.pow(u,2)+Math.pow(w,2)/Math.pow(f,2);T>1&&(u*=Math.sqrt(T),f*=Math.sqrt(T));var k=function(t,e,r,n,a,o,l,c,u,f,h,p){var d=Math.pow(a,2),m=Math.pow(o,2),g=Math.pow(h,2),v=Math.pow(p,2),y=d*m-d*v-m*g;y<0&&(y=0),y/=d*v+m*g;var x=(y=Math.sqrt(y)*(l===c?-1:1))*a/o*p,b=y*-o/a*h,_=f*x-u*b+(t+r)/2,w=u*x+f*b+(e+n)/2,T=(h-x)/a,k=(p-b)/o,A=(-h-x)/a,M=(-p-b)/o,S=s(1,0,T,k),E=s(T,k,A,M);return 0===c&&E>0&&(E-=i),1===c&&E<0&&(E+=i),[_,w,S,E]}(e,r,l,c,u,f,m,v,x,b,_,w),A=n(k,4),M=A[0],S=A[1],E=A[2],L=A[3],C=Math.abs(L)/(i/4);Math.abs(1-C)<1e-7&&(C=1);var P=Math.max(Math.ceil(C),1);L/=P;for(var I=0;I<P;I++)y.push(o(E,L)),E+=L;return y.map((function(t){var e=a(t[0],u,f,b,x,M,S),r=e.x,n=e.y,i=a(t[1],u,f,b,x,M,S),o=i.x,s=i.y,l=a(t[2],u,f,b,x,M,S);return{x1:r,y1:n,x2:o,y2:s,x:l.x,y:l.y}}))},e.exports=r.default},{}],303:[function(t,e,r){"use strict";var n=t("parse-svg-path"),i=t("abs-svg-path"),a=t("normalize-svg-path"),o=t("is-svg-path");e.exports=function(t){Array.isArray(t)&&1===t.length&&"string"==typeof t[0]&&(t=t[0]);if("string"==typeof t){if(!o(t))throw Error("String is not an SVG path.");t=n(t)}if(!Array.isArray(t))throw Error("Argument should be a string or an array of path segments.");if(t=i(t),!(t=a(t)).length)return[0,0,0,0];for(var e=[1/0,1/0,-1/0,-1/0],r=0,s=t.length;r<s;r++)for(var l=t[r].slice(1),c=0;c<l.length;c+=2)l[c+0]<e[0]&&(e[0]=l[c+0]),l[c+1]<e[1]&&(e[1]=l[c+1]),l[c+0]>e[2]&&(e[2]=l[c+0]),l[c+1]>e[3]&&(e[3]=l[c+1]);return e}},{"abs-svg-path":66,"is-svg-path":233,"normalize-svg-path":304,"parse-svg-path":245}],304:[function(t,e,r){"use strict";e.exports=function(t){for(var e,r=[],o=0,s=0,l=0,c=0,u=null,f=null,h=0,p=0,d=0,m=t.length;d<m;d++){var g=t[d],v=g[0];switch(v){case"M":l=g[1],c=g[2];break;case"A":var y=n({px:h,py:p,cx:g[6],cy:g[7],rx:g[1],ry:g[2],xAxisRotation:g[3],largeArcFlag:g[4],sweepFlag:g[5]});if(!y.length)continue;for(var x,b=0;b<y.length;b++)x=y[b],g=["C",x.x1,x.y1,x.x2,x.y2,x.x,x.y],b<y.length-1&&r.push(g);break;case"S":var _=h,w=p;"C"!=e&&"S"!=e||(_+=_-o,w+=w-s),g=["C",_,w,g[1],g[2],g[3],g[4]];break;case"T":"Q"==e||"T"==e?(u=2*h-u,f=2*p-f):(u=h,f=p),g=a(h,p,u,f,g[1],g[2]);break;case"Q":u=g[1],f=g[2],g=a(h,p,g[1],g[2],g[3],g[4]);break;case"L":g=i(h,p,g[1],g[2]);break;case"H":g=i(h,p,g[1],p);break;case"V":g=i(h,p,h,g[1]);break;case"Z":g=i(h,p,l,c)}e=v,h=g[g.length-2],p=g[g.length-1],g.length>4?(o=g[g.length-4],s=g[g.length-3]):(o=h,s=p),r.push(g)}return r};var n=t("svg-arc-to-cubic-bezier");function i(t,e,r,n){return["C",t,e,r,n,r,n]}function a(t,e,r,n,i,a){return["C",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}},{"svg-arc-to-cubic-bezier":302}],305:[function(t,e,r){"use strict";var n,i=t("svg-path-bounds"),a=t("parse-svg-path"),o=t("draw-svg-path"),s=t("is-svg-path"),l=t("bitmap-sdf"),c=document.createElement("canvas"),u=c.getContext("2d");e.exports=function(t,e){if(!s(t))throw Error("Argument should be valid svg path string");e||(e={});var r,f;e.shape?(r=e.shape[0],f=e.shape[1]):(r=c.width=e.w||e.width||200,f=c.height=e.h||e.height||200);var h=Math.min(r,f),p=e.stroke||0,d=e.viewbox||e.viewBox||i(t),m=[r/(d[2]-d[0]),f/(d[3]-d[1])],g=Math.min(m[0]||0,m[1]||0)/2;u.fillStyle="black",u.fillRect(0,0,r,f),u.fillStyle="white",p&&("number"!=typeof p&&(p=1),u.strokeStyle=p>0?"white":"black",u.lineWidth=Math.abs(p));if(u.translate(.5*r,.5*f),u.scale(g,g),function(){if(null!=n)return n;var t=document.createElement("canvas").getContext("2d");if(t.canvas.width=t.canvas.height=1,!window.Path2D)return n=!1;var e=new Path2D("M0,0h1v1h-1v-1Z");t.fillStyle="black",t.fill(e);var r=t.getImageData(0,0,1,1);return n=r&&r.data&&255===r.data[3]}()){var v=new Path2D(t);u.fill(v),p&&u.stroke(v)}else{var y=a(t);o(u,y),u.fill(),p&&u.stroke()}return u.setTransform(1,0,0,1,0,0),l(u,{cutoff:null!=e.cutoff?e.cutoff:.5,radius:null!=e.radius?e.radius:.5*h})}},{"bitmap-sdf":78,"draw-svg-path":120,"is-svg-path":233,"parse-svg-path":245,"svg-path-bounds":303}],306:[function(t,e,r){(function(e,n){(function(){var i=t("process/browser.js").nextTick,a=Function.prototype.apply,o=Array.prototype.slice,s={},l=0;function c(t,e){this._id=t,this._clearFn=e}r.setTimeout=function(){return new c(a.call(setTimeout,window,arguments),clearTimeout)},r.setInterval=function(){return new c(a.call(setInterval,window,arguments),clearInterval)},r.clearTimeout=r.clearInterval=function(t){t.close()},c.prototype.unref=c.prototype.ref=function(){},c.prototype.close=function(){this._clearFn.call(window,this._id)},r.enroll=function(t,e){clearTimeout(t._idleTimeoutId),t._idleTimeout=e},r.unenroll=function(t){clearTimeout(t._idleTimeoutId),t._idleTimeout=-1},r._unrefActive=r.active=function(t){clearTimeout(t._idleTimeoutId);var e=t._idleTimeout;e>=0&&(t._idleTimeoutId=setTimeout((function(){t._onTimeout&&t._onTimeout()}),e))},r.setImmediate="function"==typeof e?e:function(t){var e=l++,n=!(arguments.length<2)&&o.call(arguments,1);return s[e]=!0,i((function(){s[e]&&(n?t.apply(null,n):t.call(null),r.clearImmediate(e))})),e},r.clearImmediate="function"==typeof n?n:function(t){delete s[t]}}).call(this)}).call(this,t("timers").setImmediate,t("timers").clearImmediate)},{"process/browser.js":272,timers:306}],307:[function(t,e,r){!function(t){var r=/^\s+/,n=/\s+$/,i=0,a=t.round,o=t.min,s=t.max,l=t.random;function c(e,l){if(l=l||{},(e=e||"")instanceof c)return e;if(!(this instanceof c))return new c(e,l);var u=function(e){var i={r:0,g:0,b:0},a=1,l=null,c=null,u=null,f=!1,h=!1;"string"==typeof e&&(e=function(t){t=t.replace(r,"").replace(n,"").toLowerCase();var e,i=!1;if(S[t])t=S[t],i=!0;else if("transparent"==t)return{r:0,g:0,b:0,a:0,format:"name"};if(e=j.rgb.exec(t))return{r:e[1],g:e[2],b:e[3]};if(e=j.rgba.exec(t))return{r:e[1],g:e[2],b:e[3],a:e[4]};if(e=j.hsl.exec(t))return{h:e[1],s:e[2],l:e[3]};if(e=j.hsla.exec(t))return{h:e[1],s:e[2],l:e[3],a:e[4]};if(e=j.hsv.exec(t))return{h:e[1],s:e[2],v:e[3]};if(e=j.hsva.exec(t))return{h:e[1],s:e[2],v:e[3],a:e[4]};if(e=j.hex8.exec(t))return{r:I(e[1]),g:I(e[2]),b:I(e[3]),a:R(e[4]),format:i?"name":"hex8"};if(e=j.hex6.exec(t))return{r:I(e[1]),g:I(e[2]),b:I(e[3]),format:i?"name":"hex"};if(e=j.hex4.exec(t))return{r:I(e[1]+""+e[1]),g:I(e[2]+""+e[2]),b:I(e[3]+""+e[3]),a:R(e[4]+""+e[4]),format:i?"name":"hex8"};if(e=j.hex3.exec(t))return{r:I(e[1]+""+e[1]),g:I(e[2]+""+e[2]),b:I(e[3]+""+e[3]),format:i?"name":"hex"};return!1}(e));"object"==typeof e&&(U(e.r)&&U(e.g)&&U(e.b)?(p=e.r,d=e.g,m=e.b,i={r:255*C(p,255),g:255*C(d,255),b:255*C(m,255)},f=!0,h="%"===String(e.r).substr(-1)?"prgb":"rgb"):U(e.h)&&U(e.s)&&U(e.v)?(l=z(e.s),c=z(e.v),i=function(e,r,n){e=6*C(e,360),r=C(r,100),n=C(n,100);var i=t.floor(e),a=e-i,o=n*(1-r),s=n*(1-a*r),l=n*(1-(1-a)*r),c=i%6;return{r:255*[n,s,o,o,l,n][c],g:255*[l,n,n,s,o,o][c],b:255*[o,o,l,n,n,s][c]}}(e.h,l,c),f=!0,h="hsv"):U(e.h)&&U(e.s)&&U(e.l)&&(l=z(e.s),u=z(e.l),i=function(t,e,r){var n,i,a;function o(t,e,r){return r<0&&(r+=1),r>1&&(r-=1),r<1/6?t+6*(e-t)*r:r<.5?e:r<2/3?t+(e-t)*(2/3-r)*6:t}if(t=C(t,360),e=C(e,100),r=C(r,100),0===e)n=i=a=r;else{var s=r<.5?r*(1+e):r+e-r*e,l=2*r-s;n=o(l,s,t+1/3),i=o(l,s,t),a=o(l,s,t-1/3)}return{r:255*n,g:255*i,b:255*a}}(e.h,l,u),f=!0,h="hsl"),e.hasOwnProperty("a")&&(a=e.a));var p,d,m;return a=L(a),{ok:f,format:e.format||h,r:o(255,s(i.r,0)),g:o(255,s(i.g,0)),b:o(255,s(i.b,0)),a:a}}(e);this._originalInput=e,this._r=u.r,this._g=u.g,this._b=u.b,this._a=u.a,this._roundA=a(100*this._a)/100,this._format=l.format||u.format,this._gradientType=l.gradientType,this._r<1&&(this._r=a(this._r)),this._g<1&&(this._g=a(this._g)),this._b<1&&(this._b=a(this._b)),this._ok=u.ok,this._tc_id=i++}function u(t,e,r){t=C(t,255),e=C(e,255),r=C(r,255);var n,i,a=s(t,e,r),l=o(t,e,r),c=(a+l)/2;if(a==l)n=i=0;else{var u=a-l;switch(i=c>.5?u/(2-a-l):u/(a+l),a){case t:n=(e-r)/u+(e<r?6:0);break;case e:n=(r-t)/u+2;break;case r:n=(t-e)/u+4}n/=6}return{h:n,s:i,l:c}}function f(t,e,r){t=C(t,255),e=C(e,255),r=C(r,255);var n,i,a=s(t,e,r),l=o(t,e,r),c=a,u=a-l;if(i=0===a?0:u/a,a==l)n=0;else{switch(a){case t:n=(e-r)/u+(e<r?6:0);break;case e:n=(r-t)/u+2;break;case r:n=(t-e)/u+4}n/=6}return{h:n,s:i,v:c}}function h(t,e,r,n){var i=[O(a(t).toString(16)),O(a(e).toString(16)),O(a(r).toString(16))];return n&&i[0].charAt(0)==i[0].charAt(1)&&i[1].charAt(0)==i[1].charAt(1)&&i[2].charAt(0)==i[2].charAt(1)?i[0].charAt(0)+i[1].charAt(0)+i[2].charAt(0):i.join("")}function p(t,e,r,n){return[O(D(n)),O(a(t).toString(16)),O(a(e).toString(16)),O(a(r).toString(16))].join("")}function d(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.s-=e/100,r.s=P(r.s),c(r)}function m(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.s+=e/100,r.s=P(r.s),c(r)}function g(t){return c(t).desaturate(100)}function v(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.l+=e/100,r.l=P(r.l),c(r)}function y(t,e){e=0===e?0:e||10;var r=c(t).toRgb();return r.r=s(0,o(255,r.r-a(-e/100*255))),r.g=s(0,o(255,r.g-a(-e/100*255))),r.b=s(0,o(255,r.b-a(-e/100*255))),c(r)}function x(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.l-=e/100,r.l=P(r.l),c(r)}function b(t,e){var r=c(t).toHsl(),n=(r.h+e)%360;return r.h=n<0?360+n:n,c(r)}function _(t){var e=c(t).toHsl();return e.h=(e.h+180)%360,c(e)}function w(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+120)%360,s:e.s,l:e.l}),c({h:(r+240)%360,s:e.s,l:e.l})]}function T(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+90)%360,s:e.s,l:e.l}),c({h:(r+180)%360,s:e.s,l:e.l}),c({h:(r+270)%360,s:e.s,l:e.l})]}function k(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+72)%360,s:e.s,l:e.l}),c({h:(r+216)%360,s:e.s,l:e.l})]}function A(t,e,r){e=e||6,r=r||30;var n=c(t).toHsl(),i=360/r,a=[c(t)];for(n.h=(n.h-(i*e>>1)+720)%360;--e;)n.h=(n.h+i)%360,a.push(c(n));return a}function M(t,e){e=e||6;for(var r=c(t).toHsv(),n=r.h,i=r.s,a=r.v,o=[],s=1/e;e--;)o.push(c({h:n,s:i,v:a})),a=(a+s)%1;return o}c.prototype={isDark:function(){return this.getBrightness()<128},isLight:function(){return!this.isDark()},isValid:function(){return this._ok},getOriginalInput:function(){return this._originalInput},getFormat:function(){return this._format},getAlpha:function(){return this._a},getBrightness:function(){var t=this.toRgb();return(299*t.r+587*t.g+114*t.b)/1e3},getLuminance:function(){var e,r,n,i=this.toRgb();return e=i.r/255,r=i.g/255,n=i.b/255,.2126*(e<=.03928?e/12.92:t.pow((e+.055)/1.055,2.4))+.7152*(r<=.03928?r/12.92:t.pow((r+.055)/1.055,2.4))+.0722*(n<=.03928?n/12.92:t.pow((n+.055)/1.055,2.4))},setAlpha:function(t){return this._a=L(t),this._roundA=a(100*this._a)/100,this},toHsv:function(){var t=f(this._r,this._g,this._b);return{h:360*t.h,s:t.s,v:t.v,a:this._a}},toHsvString:function(){var t=f(this._r,this._g,this._b),e=a(360*t.h),r=a(100*t.s),n=a(100*t.v);return 1==this._a?"hsv("+e+", "+r+"%, "+n+"%)":"hsva("+e+", "+r+"%, "+n+"%, "+this._roundA+")"},toHsl:function(){var t=u(this._r,this._g,this._b);return{h:360*t.h,s:t.s,l:t.l,a:this._a}},toHslString:function(){var t=u(this._r,this._g,this._b),e=a(360*t.h),r=a(100*t.s),n=a(100*t.l);return 1==this._a?"hsl("+e+", "+r+"%, "+n+"%)":"hsla("+e+", "+r+"%, "+n+"%, "+this._roundA+")"},toHex:function(t){return h(this._r,this._g,this._b,t)},toHexString:function(t){return"#"+this.toHex(t)},toHex8:function(t){return function(t,e,r,n,i){var o=[O(a(t).toString(16)),O(a(e).toString(16)),O(a(r).toString(16)),O(D(n))];if(i&&o[0].charAt(0)==o[0].charAt(1)&&o[1].charAt(0)==o[1].charAt(1)&&o[2].charAt(0)==o[2].charAt(1)&&o[3].charAt(0)==o[3].charAt(1))return o[0].charAt(0)+o[1].charAt(0)+o[2].charAt(0)+o[3].charAt(0);return o.join("")}(this._r,this._g,this._b,this._a,t)},toHex8String:function(t){return"#"+this.toHex8(t)},toRgb:function(){return{r:a(this._r),g:a(this._g),b:a(this._b),a:this._a}},toRgbString:function(){return 1==this._a?"rgb("+a(this._r)+", "+a(this._g)+", "+a(this._b)+")":"rgba("+a(this._r)+", "+a(this._g)+", "+a(this._b)+", "+this._roundA+")"},toPercentageRgb:function(){return{r:a(100*C(this._r,255))+"%",g:a(100*C(this._g,255))+"%",b:a(100*C(this._b,255))+"%",a:this._a}},toPercentageRgbString:function(){return 1==this._a?"rgb("+a(100*C(this._r,255))+"%, "+a(100*C(this._g,255))+"%, "+a(100*C(this._b,255))+"%)":"rgba("+a(100*C(this._r,255))+"%, "+a(100*C(this._g,255))+"%, "+a(100*C(this._b,255))+"%, "+this._roundA+")"},toName:function(){return 0===this._a?"transparent":!(this._a<1)&&(E[h(this._r,this._g,this._b,!0)]||!1)},toFilter:function(t){var e="#"+p(this._r,this._g,this._b,this._a),r=e,n=this._gradientType?"GradientType = 1, ":"";if(t){var i=c(t);r="#"+p(i._r,i._g,i._b,i._a)}return"progid:DXImageTransform.Microsoft.gradient("+n+"startColorstr="+e+",endColorstr="+r+")"},toString:function(t){var e=!!t;t=t||this._format;var r=!1,n=this._a<1&&this._a>=0;return e||!n||"hex"!==t&&"hex6"!==t&&"hex3"!==t&&"hex4"!==t&&"hex8"!==t&&"name"!==t?("rgb"===t&&(r=this.toRgbString()),"prgb"===t&&(r=this.toPercentageRgbString()),"hex"!==t&&"hex6"!==t||(r=this.toHexString()),"hex3"===t&&(r=this.toHexString(!0)),"hex4"===t&&(r=this.toHex8String(!0)),"hex8"===t&&(r=this.toHex8String()),"name"===t&&(r=this.toName()),"hsl"===t&&(r=this.toHslString()),"hsv"===t&&(r=this.toHsvString()),r||this.toHexString()):"name"===t&&0===this._a?this.toName():this.toRgbString()},clone:function(){return c(this.toString())},_applyModification:function(t,e){var r=t.apply(null,[this].concat([].slice.call(e)));return this._r=r._r,this._g=r._g,this._b=r._b,this.setAlpha(r._a),this},lighten:function(){return this._applyModification(v,arguments)},brighten:function(){return this._applyModification(y,arguments)},darken:function(){return this._applyModification(x,arguments)},desaturate:function(){return this._applyModification(d,arguments)},saturate:function(){return this._applyModification(m,arguments)},greyscale:function(){return this._applyModification(g,arguments)},spin:function(){return this._applyModification(b,arguments)},_applyCombination:function(t,e){return t.apply(null,[this].concat([].slice.call(e)))},analogous:function(){return this._applyCombination(A,arguments)},complement:function(){return this._applyCombination(_,arguments)},monochromatic:function(){return this._applyCombination(M,arguments)},splitcomplement:function(){return this._applyCombination(k,arguments)},triad:function(){return this._applyCombination(w,arguments)},tetrad:function(){return this._applyCombination(T,arguments)}},c.fromRatio=function(t,e){if("object"==typeof t){var r={};for(var n in t)t.hasOwnProperty(n)&&(r[n]="a"===n?t[n]:z(t[n]));t=r}return c(t,e)},c.equals=function(t,e){return!(!t||!e)&&c(t).toRgbString()==c(e).toRgbString()},c.random=function(){return c.fromRatio({r:l(),g:l(),b:l()})},c.mix=function(t,e,r){r=0===r?0:r||50;var n=c(t).toRgb(),i=c(e).toRgb(),a=r/100;return c({r:(i.r-n.r)*a+n.r,g:(i.g-n.g)*a+n.g,b:(i.b-n.b)*a+n.b,a:(i.a-n.a)*a+n.a})},c.readability=function(e,r){var n=c(e),i=c(r);return(t.max(n.getLuminance(),i.getLuminance())+.05)/(t.min(n.getLuminance(),i.getLuminance())+.05)},c.isReadable=function(t,e,r){var n,i,a=c.readability(t,e);switch(i=!1,(n=function(t){var e,r;e=((t=t||{level:"AA",size:"small"}).level||"AA").toUpperCase(),r=(t.size||"small").toLowerCase(),"AA"!==e&&"AAA"!==e&&(e="AA");"small"!==r&&"large"!==r&&(r="small");return{level:e,size:r}}(r)).level+n.size){case"AAsmall":case"AAAlarge":i=a>=4.5;break;case"AAlarge":i=a>=3;break;case"AAAsmall":i=a>=7}return i},c.mostReadable=function(t,e,r){var n,i,a,o,s=null,l=0;i=(r=r||{}).includeFallbackColors,a=r.level,o=r.size;for(var u=0;u<e.length;u++)(n=c.readability(t,e[u]))>l&&(l=n,s=c(e[u]));return c.isReadable(t,s,{level:a,size:o})||!i?s:(r.includeFallbackColors=!1,c.mostReadable(t,["#fff","#000"],r))};var S=c.names={aliceblue:"f0f8ff",antiquewhite:"faebd7",aqua:"0ff",aquamarine:"7fffd4",azure:"f0ffff",beige:"f5f5dc",bisque:"ffe4c4",black:"000",blanchedalmond:"ffebcd",blue:"00f",blueviolet:"8a2be2",brown:"a52a2a",burlywood:"deb887",burntsienna:"ea7e5d",cadetblue:"5f9ea0",chartreuse:"7fff00",chocolate:"d2691e",coral:"ff7f50",cornflowerblue:"6495ed",cornsilk:"fff8dc",crimson:"dc143c",cyan:"0ff",darkblue:"00008b",darkcyan:"008b8b",darkgoldenrod:"b8860b",darkgray:"a9a9a9",darkgreen:"006400",darkgrey:"a9a9a9",darkkhaki:"bdb76b",darkmagenta:"8b008b",darkolivegreen:"556b2f",darkorange:"ff8c00",darkorchid:"9932cc",darkred:"8b0000",darksalmon:"e9967a",darkseagreen:"8fbc8f",darkslateblue:"483d8b",darkslategray:"2f4f4f",darkslategrey:"2f4f4f",darkturquoise:"00ced1",darkviolet:"9400d3",deeppink:"ff1493",deepskyblue:"00bfff",dimgray:"696969",dimgrey:"696969",dodgerblue:"1e90ff",firebrick:"b22222",floralwhite:"fffaf0",forestgreen:"228b22",fuchsia:"f0f",gainsboro:"dcdcdc",ghostwhite:"f8f8ff",gold:"ffd700",goldenrod:"daa520",gray:"808080",green:"008000",greenyellow:"adff2f",grey:"808080",honeydew:"f0fff0",hotpink:"ff69b4",indianred:"cd5c5c",indigo:"4b0082",ivory:"fffff0",khaki:"f0e68c",lavender:"e6e6fa",lavenderblush:"fff0f5",lawngreen:"7cfc00",lemonchiffon:"fffacd",lightblue:"add8e6",lightcoral:"f08080",lightcyan:"e0ffff",lightgoldenrodyellow:"fafad2",lightgray:"d3d3d3",lightgreen:"90ee90",lightgrey:"d3d3d3",lightpink:"ffb6c1",lightsalmon:"ffa07a",lightseagreen:"20b2aa",lightskyblue:"87cefa",lightslategray:"789",lightslategrey:"789",lightsteelblue:"b0c4de",lightyellow:"ffffe0",lime:"0f0",limegreen:"32cd32",linen:"faf0e6",magenta:"f0f",maroon:"800000",mediumaquamarine:"66cdaa",mediumblue:"0000cd",mediumorchid:"ba55d3",mediumpurple:"9370db",mediumseagreen:"3cb371",mediumslateblue:"7b68ee",mediumspringgreen:"00fa9a",mediumturquoise:"48d1cc",mediumvioletred:"c71585",midnightblue:"191970",mintcream:"f5fffa",mistyrose:"ffe4e1",moccasin:"ffe4b5",navajowhite:"ffdead",navy:"000080",oldlace:"fdf5e6",olive:"808000",olivedrab:"6b8e23",orange:"ffa500",orangered:"ff4500",orchid:"da70d6",palegoldenrod:"eee8aa",palegreen:"98fb98",paleturquoise:"afeeee",palevioletred:"db7093",papayawhip:"ffefd5",peachpuff:"ffdab9",peru:"cd853f",pink:"ffc0cb",plum:"dda0dd",powderblue:"b0e0e6",purple:"800080",rebeccapurple:"663399",red:"f00",rosybrown:"bc8f8f",royalblue:"4169e1",saddlebrown:"8b4513",salmon:"fa8072",sandybrown:"f4a460",seagreen:"2e8b57",seashell:"fff5ee",sienna:"a0522d",silver:"c0c0c0",skyblue:"87ceeb",slateblue:"6a5acd",slategray:"708090",slategrey:"708090",snow:"fffafa",springgreen:"00ff7f",steelblue:"4682b4",tan:"d2b48c",teal:"008080",thistle:"d8bfd8",tomato:"ff6347",turquoise:"40e0d0",violet:"ee82ee",wheat:"f5deb3",white:"fff",whitesmoke:"f5f5f5",yellow:"ff0",yellowgreen:"9acd32"},E=c.hexNames=function(t){var e={};for(var r in t)t.hasOwnProperty(r)&&(e[t[r]]=r);return e}(S);function L(t){return t=parseFloat(t),(isNaN(t)||t<0||t>1)&&(t=1),t}function C(e,r){(function(t){return"string"==typeof t&&-1!=t.indexOf(".")&&1===parseFloat(t)})(e)&&(e="100%");var n=function(t){return"string"==typeof t&&-1!=t.indexOf("%")}(e);return e=o(r,s(0,parseFloat(e))),n&&(e=parseInt(e*r,10)/100),t.abs(e-r)<1e-6?1:e%r/parseFloat(r)}function P(t){return o(1,s(0,t))}function I(t){return parseInt(t,16)}function O(t){return 1==t.length?"0"+t:""+t}function z(t){return t<=1&&(t=100*t+"%"),t}function D(e){return t.round(255*parseFloat(e)).toString(16)}function R(t){return I(t)/255}var F,B,N,j=(B="[\\s|\\(]+("+(F="(?:[-\\+]?\\d*\\.\\d+%?)|(?:[-\\+]?\\d+%?)")+")[,|\\s]+("+F+")[,|\\s]+("+F+")\\s*\\)?",N="[\\s|\\(]+("+F+")[,|\\s]+("+F+")[,|\\s]+("+F+")[,|\\s]+("+F+")\\s*\\)?",{CSS_UNIT:new RegExp(F),rgb:new RegExp("rgb"+B),rgba:new RegExp("rgba"+N),hsl:new RegExp("hsl"+B),hsla:new RegExp("hsla"+N),hsv:new RegExp("hsv"+B),hsva:new RegExp("hsva"+N),hex3:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex6:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/,hex4:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex8:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/});function U(t){return!!j.CSS_UNIT.exec(t)}void 0!==e&&e.exports?e.exports=c:window.tinycolor=c}(Math)},{}],308:[function(t,e,r){"use strict";e.exports=i,e.exports.float32=e.exports.float=i,e.exports.fract32=e.exports.fract=function(t,e){if(t.length){if(t instanceof Float32Array)return new Float32Array(t.length);e instanceof Float32Array||(e=i(t));for(var r=0,n=e.length;r<n;r++)e[r]=t[r]-e[r];return e}return i(t-i(t))};var n=new Float32Array(1);function i(t){return t.length?t instanceof Float32Array?t:new Float32Array(t):(n[0]=t,n[0])}},{}],309:[function(t,e,r){"use strict";var n=t("parse-unit");e.exports=a;function i(t,e){var r=n(getComputedStyle(t).getPropertyValue(e));return r[0]*a(r[1],t)}function a(t,e){switch(e=e||document.body,t=(t||"px").trim().toLowerCase(),e!==window&&e!==document||(e=document.body),t){case"%":return e.clientHeight/100;case"ch":case"ex":return function(t,e){var r=document.createElement("div");r.style["font-size"]="128"+t,e.appendChild(r);var n=i(r,"font-size")/128;return e.removeChild(r),n}(t,e);case"em":return i(e,"font-size");case"rem":return i(document.body,"font-size");case"vw":return window.innerWidth/100;case"vh":return window.innerHeight/100;case"vmin":return Math.min(window.innerWidth,window.innerHeight)/100;case"vmax":return Math.max(window.innerWidth,window.innerHeight)/100;case"in":return 96;case"cm":return 96/2.54;case"mm":return 96/25.4;case"pt":return 96/72;case"pc":return 16}return 1}},{"parse-unit":246}],310:[function(t,e,r){!function(t,n){"object"==typeof r&&void 0!==e?n(r):n((t=t||self).topojson=t.topojson||{})}(this,(function(t){"use strict";function e(t){return t}function r(t){if(null==t)return e;var r,n,i=t.scale[0],a=t.scale[1],o=t.translate[0],s=t.translate[1];return function(t,e){e||(r=n=0);var l=2,c=t.length,u=new Array(c);for(u[0]=(r+=t[0])*i+o,u[1]=(n+=t[1])*a+s;l<c;)u[l]=t[l],++l;return u}}function n(t){var e,n=r(t.transform),i=1/0,a=i,o=-i,s=-i;function l(t){(t=n(t))[0]<i&&(i=t[0]),t[0]>o&&(o=t[0]),t[1]<a&&(a=t[1]),t[1]>s&&(s=t[1])}function c(t){switch(t.type){case"GeometryCollection":t.geometries.forEach(c);break;case"Point":l(t.coordinates);break;case"MultiPoint":t.coordinates.forEach(l)}}for(e in t.arcs.forEach((function(t){for(var e,r=-1,l=t.length;++r<l;)(e=n(t[r],r))[0]<i&&(i=e[0]),e[0]>o&&(o=e[0]),e[1]<a&&(a=e[1]),e[1]>s&&(s=e[1])})),t.objects)c(t.objects[e]);return[i,a,o,s]}function i(t,e){var r=e.id,n=e.bbox,i=null==e.properties?{}:e.properties,o=a(t,e);return null==r&&null==n?{type:"Feature",properties:i,geometry:o}:null==n?{type:"Feature",id:r,properties:i,geometry:o}:{type:"Feature",id:r,bbox:n,properties:i,geometry:o}}function a(t,e){var n=r(t.transform),i=t.arcs;function a(t,e){e.length&&e.pop();for(var r=i[t<0?~t:t],a=0,o=r.length;a<o;++a)e.push(n(r[a],a));t<0&&function(t,e){for(var r,n=t.length,i=n-e;i<--n;)r=t[i],t[i++]=t[n],t[n]=r}(e,o)}function o(t){return n(t)}function s(t){for(var e=[],r=0,n=t.length;r<n;++r)a(t[r],e);return e.length<2&&e.push(e[0]),e}function l(t){for(var e=s(t);e.length<4;)e.push(e[0]);return e}function c(t){return t.map(l)}return function t(e){var r,n=e.type;switch(n){case"GeometryCollection":return{type:n,geometries:e.geometries.map(t)};case"Point":r=o(e.coordinates);break;case"MultiPoint":r=e.coordinates.map(o);break;case"LineString":r=s(e.arcs);break;case"MultiLineString":r=e.arcs.map(s);break;case"Polygon":r=c(e.arcs);break;case"MultiPolygon":r=e.arcs.map(c);break;default:return null}return{type:n,coordinates:r}}(e)}function o(t,e){var r={},n={},i={},a=[],o=-1;function s(t,e){for(var n in t){var i=t[n];delete e[i.start],delete i.start,delete i.end,i.forEach((function(t){r[t<0?~t:t]=1})),a.push(i)}}return e.forEach((function(r,n){var i,a=t.arcs[r<0?~r:r];a.length<3&&!a[1][0]&&!a[1][1]&&(i=e[++o],e[o]=r,e[n]=i)})),e.forEach((function(e){var r,a,o=function(e){var r,n=t.arcs[e<0?~e:e],i=n[0];t.transform?(r=[0,0],n.forEach((function(t){r[0]+=t[0],r[1]+=t[1]}))):r=n[n.length-1];return e<0?[r,i]:[i,r]}(e),s=o[0],l=o[1];if(r=i[s])if(delete i[r.end],r.push(e),r.end=l,a=n[l]){delete n[a.start];var c=a===r?r:r.concat(a);n[c.start=r.start]=i[c.end=a.end]=c}else n[r.start]=i[r.end]=r;else if(r=n[l])if(delete n[r.start],r.unshift(e),r.start=s,a=i[s]){delete i[a.end];var u=a===r?r:a.concat(r);n[u.start=a.start]=i[u.end=r.end]=u}else n[r.start]=i[r.end]=r;else n[(r=[e]).start=s]=i[r.end=l]=r})),s(i,n),s(n,i),e.forEach((function(t){r[t<0?~t:t]||a.push([t])})),a}function s(t,e,r){var n,i,a;if(arguments.length>1)n=l(t,e,r);else for(i=0,n=new Array(a=t.arcs.length);i<a;++i)n[i]=i;return{type:"MultiLineString",arcs:o(t,n)}}function l(t,e,r){var n,i=[],a=[];function o(t){var e=t<0?~t:t;(a[e]||(a[e]=[])).push({i:t,g:n})}function s(t){t.forEach(o)}function l(t){t.forEach(s)}return function t(e){switch(n=e,e.type){case"GeometryCollection":e.geometries.forEach(t);break;case"LineString":s(e.arcs);break;case"MultiLineString":case"Polygon":l(e.arcs);break;case"MultiPolygon":!function(t){t.forEach(l)}(e.arcs)}}(e),a.forEach(null==r?function(t){i.push(t[0].i)}:function(t){r(t[0].g,t[t.length-1].g)&&i.push(t[0].i)}),i}function c(t,e){var r={},n=[],i=[];function s(t){t.forEach((function(e){e.forEach((function(e){(r[e=e<0?~e:e]||(r[e]=[])).push(t)}))})),n.push(t)}function l(e){return function(t){for(var e,r=-1,n=t.length,i=t[n-1],a=0;++r<n;)e=i,i=t[r],a+=e[0]*i[1]-e[1]*i[0];return Math.abs(a)}(a(t,{type:"Polygon",arcs:[e]}).coordinates[0])}return e.forEach((function t(e){switch(e.type){case"GeometryCollection":e.geometries.forEach(t);break;case"Polygon":s(e.arcs);break;case"MultiPolygon":e.arcs.forEach(s)}})),n.forEach((function(t){if(!t._){var e=[],n=[t];for(t._=1,i.push(e);t=n.pop();)e.push(t),t.forEach((function(t){t.forEach((function(t){r[t<0?~t:t].forEach((function(t){t._||(t._=1,n.push(t))}))}))}))}})),n.forEach((function(t){delete t._})),{type:"MultiPolygon",arcs:i.map((function(e){var n,i=[];if(e.forEach((function(t){t.forEach((function(t){t.forEach((function(t){r[t<0?~t:t].length<2&&i.push(t)}))}))})),(n=(i=o(t,i)).length)>1)for(var a,s,c=1,u=l(i[0]);c<n;++c)(a=l(i[c]))>u&&(s=i[0],i[0]=i[c],i[c]=s,u=a);return i})).filter((function(t){return t.length>0}))}}function u(t,e){for(var r=0,n=t.length;r<n;){var i=r+n>>>1;t[i]<e?r=i+1:n=i}return r}function f(t){if(null==t)return e;var r,n,i=t.scale[0],a=t.scale[1],o=t.translate[0],s=t.translate[1];return function(t,e){e||(r=n=0);var l=2,c=t.length,u=new Array(c),f=Math.round((t[0]-o)/i),h=Math.round((t[1]-s)/a);for(u[0]=f-r,r=f,u[1]=h-n,n=h;l<c;)u[l]=t[l],++l;return u}}t.bbox=n,t.feature=function(t,e){return"string"==typeof e&&(e=t.objects[e]),"GeometryCollection"===e.type?{type:"FeatureCollection",features:e.geometries.map((function(e){return i(t,e)}))}:i(t,e)},t.merge=function(t){return a(t,c.apply(this,arguments))},t.mergeArcs=c,t.mesh=function(t){return a(t,s.apply(this,arguments))},t.meshArcs=s,t.neighbors=function(t){var e={},r=t.map((function(){return[]}));function n(t,r){t.forEach((function(t){t<0&&(t=~t);var n=e[t];n?n.push(r):e[t]=[r]}))}function i(t,e){t.forEach((function(t){n(t,e)}))}var a={LineString:n,MultiLineString:i,Polygon:i,MultiPolygon:function(t,e){t.forEach((function(t){i(t,e)}))}};for(var o in t.forEach((function t(e,r){"GeometryCollection"===e.type?e.geometries.forEach((function(e){t(e,r)})):e.type in a&&a[e.type](e.arcs,r)})),e)for(var s=e[o],l=s.length,c=0;c<l;++c)for(var f=c+1;f<l;++f){var h,p=s[c],d=s[f];(h=r[p])[o=u(h,d)]!==d&&h.splice(o,0,d),(h=r[d])[o=u(h,p)]!==p&&h.splice(o,0,p)}return r},t.quantize=function(t,e){if(t.transform)throw new Error("already quantized");if(e&&e.scale)l=t.bbox;else{if(!((r=Math.floor(e))>=2))throw new Error("n must be \u22652");var r,i=(l=t.bbox||n(t))[0],a=l[1],o=l[2],s=l[3];e={scale:[o-i?(o-i)/(r-1):1,s-a?(s-a)/(r-1):1],translate:[i,a]}}var l,c,u=f(e),h=t.objects,p={};function d(t){return u(t)}function m(t){var e;switch(t.type){case"GeometryCollection":e={type:"GeometryCollection",geometries:t.geometries.map(m)};break;case"Point":e={type:"Point",coordinates:d(t.coordinates)};break;case"MultiPoint":e={type:"MultiPoint",coordinates:t.coordinates.map(d)};break;default:return t}return null!=t.id&&(e.id=t.id),null!=t.bbox&&(e.bbox=t.bbox),null!=t.properties&&(e.properties=t.properties),e}for(c in h)p[c]=m(h[c]);return{type:"Topology",bbox:l,transform:e,objects:p,arcs:t.arcs.map((function(t){var e,r=0,n=1,i=t.length,a=new Array(i);for(a[0]=u(t[0],0);++r<i;)((e=u(t[r],r))[0]||e[1])&&(a[n++]=e);return 1===n&&(a[n++]=[0,0]),a.length=n,a}))}},t.transform=r,t.untransform=f,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],311:[function(t,e,r){"use strict";var n=t("../prototype/is");e.exports=function(t){if("function"!=typeof t)return!1;if(!hasOwnProperty.call(t,"length"))return!1;try{if("number"!=typeof t.length)return!1;if("function"!=typeof t.call)return!1;if("function"!=typeof t.apply)return!1}catch(t){return!1}return!n(t)}},{"../prototype/is":318}],312:[function(t,e,r){"use strict";var n=t("../value/is"),i=t("../object/is"),a=t("../string/coerce"),o=t("./to-short-string"),s=function(t,e){return t.replace("%v",o(e))};e.exports=function(t,e,r){if(!i(r))throw new TypeError(s(e,t));if(!n(t)){if("default"in r)return r.default;if(r.isOptional)return null}var o=a(r.errorMessage);throw n(o)||(o=e),new TypeError(s(o,t))}},{"../object/is":315,"../string/coerce":319,"../value/is":321,"./to-short-string":314}],313:[function(t,e,r){"use strict";e.exports=function(t){try{return t.toString()}catch(e){try{return String(t)}catch(t){return null}}}},{}],314:[function(t,e,r){"use strict";var n=t("./safe-to-string"),i=/[\n\r\u2028\u2029]/g;e.exports=function(t){var e=n(t);return null===e?"<Non-coercible to string value>":(e.length>100&&(e=e.slice(0,99)+"\u2026"),e=e.replace(i,(function(t){switch(t){case"\n":return"\\n";case"\r":return"\\r";case"\u2028":return"\\u2028";case"\u2029":return"\\u2029";default:throw new Error("Unexpected character")}})))}},{"./safe-to-string":313}],315:[function(t,e,r){"use strict";var n=t("../value/is"),i={object:!0,function:!0,undefined:!0};e.exports=function(t){return!!n(t)&&hasOwnProperty.call(i,typeof t)}},{"../value/is":321}],316:[function(t,e,r){"use strict";var n=t("../lib/resolve-exception"),i=t("./is");e.exports=function(t){return i(t)?t:n(t,"%v is not a plain function",arguments[1])}},{"../lib/resolve-exception":312,"./is":317}],317:[function(t,e,r){"use strict";var n=t("../function/is"),i=/^\s*class[\s{/}]/,a=Function.prototype.toString;e.exports=function(t){return!!n(t)&&!i.test(a.call(t))}},{"../function/is":311}],318:[function(t,e,r){"use strict";var n=t("../object/is");e.exports=function(t){if(!n(t))return!1;try{return!!t.constructor&&t.constructor.prototype===t}catch(t){return!1}}},{"../object/is":315}],319:[function(t,e,r){"use strict";var n=t("../value/is"),i=t("../object/is"),a=Object.prototype.toString;e.exports=function(t){if(!n(t))return null;if(i(t)){var e=t.toString;if("function"!=typeof e)return null;if(e===a)return null}try{return""+t}catch(t){return null}}},{"../object/is":315,"../value/is":321}],320:[function(t,e,r){"use strict";var n=t("../lib/resolve-exception"),i=t("./is");e.exports=function(t){return i(t)?t:n(t,"Cannot use %v",arguments[1])}},{"../lib/resolve-exception":312,"./is":321}],321:[function(t,e,r){"use strict";e.exports=function(t){return null!=t}},{}],322:[function(t,e,r){(function(e){(function(){"use strict";var n=t("bit-twiddle"),i=t("dup"),a=t("buffer").Buffer;e.__TYPEDARRAY_POOL||(e.__TYPEDARRAY_POOL={UINT8:i([32,0]),UINT16:i([32,0]),UINT32:i([32,0]),BIGUINT64:i([32,0]),INT8:i([32,0]),INT16:i([32,0]),INT32:i([32,0]),BIGINT64:i([32,0]),FLOAT:i([32,0]),DOUBLE:i([32,0]),DATA:i([32,0]),UINT8C:i([32,0]),BUFFER:i([32,0])});var o="undefined"!=typeof Uint8ClampedArray,s="undefined"!=typeof BigUint64Array,l="undefined"!=typeof BigInt64Array,c=e.__TYPEDARRAY_POOL;c.UINT8C||(c.UINT8C=i([32,0])),c.BIGUINT64||(c.BIGUINT64=i([32,0])),c.BIGINT64||(c.BIGINT64=i([32,0])),c.BUFFER||(c.BUFFER=i([32,0]));var u=c.DATA,f=c.BUFFER;function h(t){if(t){var e=t.length||t.byteLength,r=n.log2(e);u[r].push(t)}}function p(t){t=n.nextPow2(t);var e=n.log2(t),r=u[e];return r.length>0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function m(t){return new Uint16Array(p(2*t),0,t)}function g(t){return new Uint32Array(p(4*t),0,t)}function v(t){return new Int8Array(p(t),0,t)}function y(t){return new Int16Array(p(2*t),0,t)}function x(t){return new Int32Array(p(4*t),0,t)}function b(t){return new Float32Array(p(4*t),0,t)}function _(t){return new Float64Array(p(8*t),0,t)}function w(t){return o?new Uint8ClampedArray(p(t),0,t):d(t)}function T(t){return s?new BigUint64Array(p(8*t),0,t):null}function k(t){return l?new BigInt64Array(p(8*t),0,t):null}function A(t){return new DataView(p(t),0,t)}function M(t){t=n.nextPow2(t);var e=n.log2(t),r=f[e];return r.length>0?r.pop():new a(t)}r.free=function(t){if(a.isBuffer(t))f[n.log2(t.length)].push(t);else{if("[object ArrayBuffer]"!==Object.prototype.toString.call(t)&&(t=t.buffer),!t)return;var e=t.length||t.byteLength,r=0|n.log2(e);u[r].push(t)}},r.freeUint8=r.freeUint16=r.freeUint32=r.freeBigUint64=r.freeInt8=r.freeInt16=r.freeInt32=r.freeBigInt64=r.freeFloat32=r.freeFloat=r.freeFloat64=r.freeDouble=r.freeUint8Clamped=r.freeDataView=function(t){h(t.buffer)},r.freeArrayBuffer=h,r.freeBuffer=function(t){f[n.log2(t.length)].push(t)},r.malloc=function(t,e){if(void 0===e||"arraybuffer"===e)return p(t);switch(e){case"uint8":return d(t);case"uint16":return m(t);case"uint32":return g(t);case"int8":return v(t);case"int16":return y(t);case"int32":return x(t);case"float":case"float32":return b(t);case"double":case"float64":return _(t);case"uint8_clamped":return w(t);case"bigint64":return k(t);case"biguint64":return T(t);case"buffer":return M(t);case"data":case"dataview":return A(t);default:return null}return null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=m,r.mallocUint32=g,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"bit-twiddle":77,buffer:80,dup:122}],323:[function(t,e,r){var n=/[\'\"]/;e.exports=function(t){return t?(n.test(t.charAt(0))&&(t=t.substr(1)),n.test(t.charAt(t.length-1))&&(t=t.substr(0,t.length-1)),t):""}},{}],324:[function(t,e,r){"use strict";e.exports=function(t,e,r){Array.isArray(r)||(r=[].slice.call(arguments,2));for(var n=0,i=r.length;n<i;n++){var a=r[n];for(var o in a)if((void 0===e[o]||Array.isArray(e[o])||t[o]!==e[o])&&o in e){var s;if(!0===a[o])s=e[o];else{if(!1===a[o])continue;if("function"==typeof a[o]&&void 0===(s=a[o](e[o],t,e)))continue}t[o]=s}}return t}},{}],325:[function(t,e,r){(function(t){(function(){function r(e){try{if(!t.localStorage)return!1}catch(t){return!1}var r=t.localStorage[e];return null!=r&&"true"===String(r).toLowerCase()}e.exports=function(t,e){if(r("noDeprecation"))return t;var n=!1;return function(){if(!n){if(r("throwDeprecation"))throw new Error(e);r("traceDeprecation")?console.trace(e):console.warn(e),n=!0}return t.apply(this,arguments)}}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],326:[function(t,e,r){var n=t("get-canvas-context");e.exports=function(t){return n("webgl",t)}},{"get-canvas-context":189}],327:[function(t,e,r){var n=t("../main"),i=t("object-assign"),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Chinese",jdEpoch:1721425.5,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{"":{name:"Chinese",epochs:["BEC","EC"],monthNumbers:function(t,e){if("string"==typeof t){var r=t.match(l);return r?r[0]:""}var n=this._validateYear(t),i=t.month(),a=""+this.toChineseMonth(n,i);return e&&a.length<2&&(a="0"+a),this.isIntercalaryMonth(n,i)&&(a+="i"),a},monthNames:function(t){if("string"==typeof t){var e=t.match(c);return e?e[0]:""}var r=this._validateYear(t),n=t.month(),i=["\u4e00\u6708","\u4e8c\u6708","\u4e09\u6708","\u56db\u6708","\u4e94\u6708","\u516d\u6708","\u4e03\u6708","\u516b\u6708","\u4e5d\u6708","\u5341\u6708","\u5341\u4e00\u6708","\u5341\u4e8c\u6708"][this.toChineseMonth(r,n)-1];return this.isIntercalaryMonth(r,n)&&(i="\u95f0"+i),i},monthNamesShort:function(t){if("string"==typeof t){var e=t.match(u);return e?e[0]:""}var r=this._validateYear(t),n=t.month(),i=["\u4e00","\u4e8c","\u4e09","\u56db","\u4e94","\u516d","\u4e03","\u516b","\u4e5d","\u5341","\u5341\u4e00","\u5341\u4e8c"][this.toChineseMonth(r,n)-1];return this.isIntercalaryMonth(r,n)&&(i="\u95f0"+i),i},parseMonth:function(t,e){t=this._validateYear(t);var r,n=parseInt(e);if(isNaN(n))"\u95f0"===e[0]&&(r=!0,e=e.substring(1)),"\u6708"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+["\u4e00","\u4e8c","\u4e09","\u56db","\u4e94","\u516d","\u4e03","\u516b","\u4e5d","\u5341","\u5341\u4e00","\u5341\u4e8c"].indexOf(e);else{var i=e[e.length-1];r="i"===i||"I"===i}return this.toMonthIndex(t,n,r)},dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:1,isRTL:!1}},_validateYear:function(t,e){if(t.year&&(t=t.year()),"number"!=typeof t||t<1888||t>2111)throw e.replace(/\{0\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\{0\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\{0\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),f[t-f[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=h[o-h[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),"d");var f=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(f/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=f[t-f[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\{0\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if("object"==typeof t)o=t,a=e||{};else{var l;if(!("number"==typeof t&&t>=1888&&t<=2111))throw new Error("Lunar year outside range 1888-2111");if(!("number"==typeof e&&e>=1&&e<=12))throw new Error("Lunar month outside range 1 - 12");if(!("number"==typeof r&&r>=1&&r<=30))throw new Error("Lunar day outside range 1 - 30");"object"==typeof n?(l=!1,a=n):(l=!!n,a=i||{}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=f[o.year-f[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++){s+=u&1<<12-d?30:29}var m=h[o.year-h[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if("object"==typeof t)i=t,a=e||{};else{if(!("number"==typeof t&&t>=1888&&t<=2111))throw new Error("Solar year outside range 1888-2111");if(!("number"==typeof e&&e>=1&&e<=12))throw new Error("Solar month outside range 1 - 12");if(!("number"==typeof r&&r>=1&&r<=31))throw new Error("Solar day outside range 1 - 31");i={year:t,month:e,day:r},a=n||{}}var o=h[i.year-h[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=h[a.year-h[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p);return a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if("y"===r){var c=l.year(),u=l.month(),f=this.isIntercalaryMonth(c,s),h=a&&f?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);h!==u&&l.month(h)}return l}});var s=/^\s*(-?\d\d\d\d|\d\d)[-/](\d?\d)([iI]?)[-/](\d?\d)/m,l=/^\d?\d[iI]?/m,c=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?\u6708/m,u=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?/m;n.calendars.chinese=o;var f=[1887,5780,5802,19157,2742,50359,1198,2646,46378,7466,3412,30122,5482,67949,2396,5294,43597,6732,6954,36181,2772,4954,18781,2396,54427,5274,6730,47781,5800,6868,21210,4790,59703,2350,5270,46667,3402,3496,38325,1388,4782,18735,2350,52374,6804,7498,44457,2906,1388,29294,4700,63789,6442,6804,56138,5802,2772,38235,1210,4698,22827,5418,63125,3476,5802,43701,2484,5302,27223,2646,70954,7466,3412,54698,5482,2412,38062,5294,2636,32038,6954,60245,2772,4826,43357,2394,5274,39501,6730,72357,5800,5844,53978,4790,2358,38039,5270,87627,3402,3496,54708,5484,4782,43311,2350,3222,27978,7498,68965,2904,5484,45677,4700,6444,39573,6804,6986,19285,2772,62811,1210,4698,47403,5418,5780,38570,5546,76469,2420,5302,51799,2646,5414,36501,3412,5546,18869,2412,54446,5276,6732,48422,6822,2900,28010,4826,92509,2394,5274,55883,6730,6820,47956,5812,2778,18779,2358,62615,5270,5450,46757,3492,5556,27318,4718,67887,2350,3222,52554,7498,3428,38252,5468,4700,31022,6444,64149,6804,6986,43861,2772,5338,35421,2650,70955,5418,5780,54954,5546,2740,38074,5302,2646,29991,3366,61011,3412,5546,43445,2412,5294,35406,6732,72998,6820,6996,52586,2778,2396,38045,5274,6698,23333,6820,64338,5812,2746,43355,2358,5270,39499,5450,79525,3492,5548],h=[1887,966732,967231,967733,968265,968766,969297,969798,970298,970829,971330,971830,972362,972863,973395,973896,974397,974928,975428,975929,976461,976962,977462,977994,978494,979026,979526,980026,980558,981059,981559,982091,982593,983124,983624,984124,984656,985157,985656,986189,986690,987191,987722,988222,988753,989254,989754,990286,990788,991288,991819,992319,992851,993352,993851,994383,994885,995385,995917,996418,996918,997450,997949,998481,998982,999483,1000014,1000515,1001016,1001548,1002047,1002578,1003080,1003580,1004111,1004613,1005113,1005645,1006146,1006645,1007177,1007678,1008209,1008710,1009211,1009743,1010243,1010743,1011275,1011775,1012306,1012807,1013308,1013840,1014341,1014841,1015373,1015874,1016404,1016905,1017405,1017937,1018438,1018939,1019471,1019972,1020471,1021002,1021503,1022035,1022535,1023036,1023568,1024069,1024568,1025100,1025601,1026102,1026633,1027133,1027666,1028167,1028666,1029198,1029699,1030199,1030730,1031231,1031763,1032264,1032764,1033296,1033797,1034297,1034828,1035329,1035830,1036362,1036861,1037393,1037894,1038394,1038925,1039427,1039927,1040459,1040959,1041491,1041992,1042492,1043023,1043524,1044024,1044556,1045057,1045558,1046090,1046590,1047121,1047622,1048122,1048654,1049154,1049655,1050187,1050689,1051219,1051720,1052220,1052751,1053252,1053752,1054284,1054786,1055285,1055817,1056317,1056849,1057349,1057850,1058382,1058883,1059383,1059915,1060415,1060947,1061447,1061947,1062479,1062981,1063480,1064012,1064514,1065014,1065545,1066045,1066577,1067078,1067578,1068110,1068611,1069112,1069642,1070142,1070674,1071175,1071675,1072207,1072709,1073209,1073740,1074241,1074741,1075273,1075773,1076305,1076807,1077308,1077839,1078340,1078840,1079372,1079871,1080403,1080904]},{"../main":341,"object-assign":242}],328:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Coptic",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Coptic",epochs:["BAM","AM"],monthNames:["Thout","Paopi","Hathor","Koiak","Tobi","Meshir","Paremhat","Paremoude","Pashons","Paoni","Epip","Mesori","Pi Kogi Enavot"],monthNamesShort:["Tho","Pao","Hath","Koi","Tob","Mesh","Pat","Pad","Pash","Pao","Epi","Meso","PiK"],dayNames:["Tkyriaka","Pesnau","Pshoment","Peftoou","Ptiou","Psoou","Psabbaton"],dayNamesShort:["Tky","Pes","Psh","Pef","Pti","Pso","Psa"],dayNamesMin:["Tk","Pes","Psh","Pef","Pt","Pso","Psa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{"../main":341,"object-assign":242}],329:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Discworld",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Discworld",epochs:["BUC","UC"],monthNames:["Ick","Offle","February","March","April","May","June","Grune","August","Spune","Sektober","Ember","December"],monthNamesShort:["Ick","Off","Feb","Mar","Apr","May","Jun","Gru","Aug","Spu","Sek","Emb","Dec"],dayNames:["Sunday","Octeday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Oct","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Oc","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||""}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:"Fruitbat",21:"Anchovy"};n.calendars.discworld=a},{"../main":341,"object-assign":242}],330:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Ethiopian",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Ethiopian",epochs:["BEE","EE"],monthNames:["Meskerem","Tikemet","Hidar","Tahesas","Tir","Yekatit","Megabit","Miazia","Genbot","Sene","Hamle","Nehase","Pagume"],monthNamesShort:["Mes","Tik","Hid","Tah","Tir","Yek","Meg","Mia","Gen","Sen","Ham","Neh","Pag"],dayNames:["Ehud","Segno","Maksegno","Irob","Hamus","Arb","Kidame"],dayNamesShort:["Ehu","Seg","Mak","Iro","Ham","Arb","Kid"],dayNamesMin:["Eh","Se","Ma","Ir","Ha","Ar","Ki"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{"../main":341,"object-assign":242}],331:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Hebrew",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{"":{name:"Hebrew",epochs:["BAM","AM"],monthNames:["Nisan","Iyar","Sivan","Tammuz","Av","Elul","Tishrei","Cheshvan","Kislev","Tevet","Shevat","Adar","Adar II"],monthNamesShort:["Nis","Iya","Siv","Tam","Av","Elu","Tis","Che","Kis","Tev","She","Ada","Ad2"],dayNames:["Yom Rishon","Yom Sheni","Yom Shlishi","Yom Revi'i","Yom Chamishi","Yom Shishi","Yom Shabbat"],dayNamesShort:["Ris","She","Shl","Rev","Cha","Shi","Sha"],dayNamesMin:["Ri","She","Shl","Re","Ch","Shi","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?"embolismic":"common")+" "+["deficient","regular","complete"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{"../main":341,"object-assign":242}],332:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Islamic",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Islamic",epochs:["BH","AH"],monthNames:["Muharram","Safar","Rabi' al-awwal","Rabi' al-thani","Jumada al-awwal","Jumada al-thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-ahad","Yawm al-ithnayn","Yawm ath-thulaathaa'","Yawm al-arbi'aa'","Yawm al-kham\u012bs","Yawm al-jum'a","Yawm as-sabt"],dayNamesShort:["Aha","Ith","Thu","Arb","Kha","Jum","Sab"],dayNamesMin:["Ah","It","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{"../main":341,"object-assign":242}],333:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Julian",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Julian",epochs:["BC","AD"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{"../main":341,"object-assign":242}],334:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":341,"object-assign":242}],335:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":341,"object-assign":242}],336:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),n.calendars.nepali=a},{"../main":341,"object-assign":242}],337:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Ch\xe6harshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Ch\xe6","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{"../main":341,"object-assign":242}],338:[function(t,e,r){var n=t("../main"),i=t("object-assign"),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Taiwan",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Taiwan",epochs:["BROC","ROC"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{"../main":341,"object-assign":242}],339:[function(t,e,r){var n=t("../main"),i=t("object-assign"),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Thai",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Thai",epochs:["BBE","BE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{"../main":341,"object-assign":242}],340:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\{0\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var o=[20,50,79,109,138,168,197,227,256,286,315,345,374,404,433,463,492,522,551,581,611,641,670,700,729,759,788,818,847,877,906,936,965,995,1024,1054,1083,1113,1142,1172,1201,1231,1260,1290,1320,1350,1379,1409,1438,1468,1497,1527,1556,1586,1615,1645,1674,1704,1733,1763,1792,1822,1851,1881,1910,1940,1969,1999,2028,2058,2087,2117,2146,2176,2205,2235,2264,2294,2323,2353,2383,2413,2442,2472,2501,2531,2560,2590,2619,2649,2678,2708,2737,2767,2796,2826,2855,2885,2914,2944,2973,3003,3032,3062,3091,3121,3150,3180,3209,3239,3268,3298,3327,3357,3386,3416,3446,3476,3505,3535,3564,3594,3623,3653,3682,3712,3741,3771,3800,3830,3859,3889,3918,3948,3977,4007,4036,4066,4095,4125,4155,4185,4214,4244,4273,4303,4332,4362,4391,4421,4450,4480,4509,4539,4568,4598,4627,4657,4686,4716,4745,4775,4804,4834,4863,4893,4922,4952,4981,5011,5040,5070,5099,5129,5158,5188,5218,5248,5277,5307,5336,5366,5395,5425,5454,5484,5513,5543,5572,5602,5631,5661,5690,5720,5749,5779,5808,5838,5867,5897,5926,5956,5985,6015,6044,6074,6103,6133,6162,6192,6221,6251,6281,6311,6340,6370,6399,6429,6458,6488,6517,6547,6576,6606,6635,6665,6694,6724,6753,6783,6812,6842,6871,6901,6930,6960,6989,7019,7048,7078,7107,7137,7166,7196,7225,7255,7284,7314,7344,7374,7403,7433,7462,7492,7521,7551,7580,7610,7639,7669,7698,7728,7757,7787,7816,7846,7875,7905,7934,7964,7993,8023,8053,8083,8112,8142,8171,8201,8230,8260,8289,8319,8348,8378,8407,8437,8466,8496,8525,8555,8584,8614,8643,8673,8702,8732,8761,8791,8821,8850,8880,8909,8938,8968,8997,9027,9056,9086,9115,9145,9175,9205,9234,9264,9293,9322,9352,9381,9410,9440,9470,9499,9529,9559,9589,9618,9648,9677,9706,9736,9765,9794,9824,9853,9883,9913,9943,9972,10002,10032,10061,10090,10120,10149,10178,10208,10237,10267,10297,10326,10356,10386,10415,10445,10474,10504,10533,10562,10592,10621,10651,10680,10710,10740,10770,10799,10829,10858,10888,10917,10947,10976,11005,11035,11064,11094,11124,11153,11183,11213,11242,11272,11301,11331,11360,11389,11419,11448,11478,11507,11537,11567,11596,11626,11655,11685,11715,11744,11774,11803,11832,11862,11891,11921,11950,11980,12010,12039,12069,12099,12128,12158,12187,12216,12246,12275,12304,12334,12364,12393,12423,12453,12483,12512,12542,12571,12600,12630,12659,12688,12718,12747,12777,12807,12837,12866,12896,12926,12955,12984,13014,13043,13072,13102,13131,13161,13191,13220,13250,13280,13310,13339,13368,13398,13427,13456,13486,13515,13545,13574,13604,13634,13664,13693,13723,13752,13782,13811,13840,13870,13899,13929,13958,13988,14018,14047,14077,14107,14136,14166,14195,14224,14254,14283,14313,14342,14372,14401,14431,14461,14490,14520,14550,14579,14609,14638,14667,14697,14726,14756,14785,14815,14844,14874,14904,14933,14963,14993,15021,15051,15081,15110,15140,15169,15199,15228,15258,15287,15317,15347,15377,15406,15436,15465,15494,15524,15553,15582,15612,15641,15671,15701,15731,15760,15790,15820,15849,15878,15908,15937,15966,15996,16025,16055,16085,16114,16144,16174,16204,16233,16262,16292,16321,16350,16380,16409,16439,16468,16498,16528,16558,16587,16617,16646,16676,16705,16734,16764,16793,16823,16852,16882,16912,16941,16971,17001,17030,17060,17089,17118,17148,17177,17207,17236,17266,17295,17325,17355,17384,17414,17444,17473,17502,17532,17561,17591,17620,17650,17679,17709,17738,17768,17798,17827,17857,17886,17916,17945,17975,18004,18034,18063,18093,18122,18152,18181,18211,18241,18270,18300,18330,18359,18388,18418,18447,18476,18506,18535,18565,18595,18625,18654,18684,18714,18743,18772,18802,18831,18860,18890,18919,18949,18979,19008,19038,19068,19098,19127,19156,19186,19215,19244,19274,19303,19333,19362,19392,19422,19452,19481,19511,19540,19570,19599,19628,19658,19687,19717,19746,19776,19806,19836,19865,19895,19924,19954,19983,20012,20042,20071,20101,20130,20160,20190,20219,20249,20279,20308,20338,20367,20396,20426,20455,20485,20514,20544,20573,20603,20633,20662,20692,20721,20751,20780,20810,20839,20869,20898,20928,20957,20987,21016,21046,21076,21105,21135,21164,21194,21223,21253,21282,21312,21341,21371,21400,21430,21459,21489,21519,21548,21578,21607,21637,21666,21696,21725,21754,21784,21813,21843,21873,21902,21932,21962,21991,22021,22050,22080,22109,22138,22168,22197,22227,22256,22286,22316,22346,22375,22405,22434,22464,22493,22522,22552,22581,22611,22640,22670,22700,22730,22759,22789,22818,22848,22877,22906,22936,22965,22994,23024,23054,23083,23113,23143,23173,23202,23232,23261,23290,23320,23349,23379,23408,23438,23467,23497,23527,23556,23586,23616,23645,23674,23704,23733,23763,23792,23822,23851,23881,23910,23940,23970,23999,24029,24058,24088,24117,24147,24176,24206,24235,24265,24294,24324,24353,24383,24413,24442,24472,24501,24531,24560,24590,24619,24648,24678,24707,24737,24767,24796,24826,24856,24885,24915,24944,24974,25003,25032,25062,25091,25121,25150,25180,25210,25240,25269,25299,25328,25358,25387,25416,25446,25475,25505,25534,25564,25594,25624,25653,25683,25712,25742,25771,25800,25830,25859,25888,25918,25948,25977,26007,26037,26067,26096,26126,26155,26184,26214,26243,26272,26302,26332,26361,26391,26421,26451,26480,26510,26539,26568,26598,26627,26656,26686,26715,26745,26775,26805,26834,26864,26893,26923,26952,26982,27011,27041,27070,27099,27129,27159,27188,27218,27248,27277,27307,27336,27366,27395,27425,27454,27484,27513,27542,27572,27602,27631,27661,27691,27720,27750,27779,27809,27838,27868,27897,27926,27956,27985,28015,28045,28074,28104,28134,28163,28193,28222,28252,28281,28310,28340,28369,28399,28428,28458,28488,28517,28547,28577,28607,28636,28665,28695,28724,28754,28783,28813,28843,28872,28901,28931,28960,28990,29019,29049,29078,29108,29137,29167,29196,29226,29255,29285,29315,29345,29375,29404,29434,29463,29492,29522,29551,29580,29610,29640,29669,29699,29729,29759,29788,29818,29847,29876,29906,29935,29964,29994,30023,30053,30082,30112,30141,30171,30200,30230,30259,30289,30318,30348,30378,30408,30437,30467,30496,30526,30555,30585,30614,30644,30673,30703,30732,30762,30791,30821,30850,30880,30909,30939,30968,30998,31027,31057,31086,31116,31145,31175,31204,31234,31263,31293,31322,31352,31381,31411,31441,31471,31500,31530,31559,31589,31618,31648,31676,31706,31736,31766,31795,31825,31854,31884,31913,31943,31972,32002,32031,32061,32090,32120,32150,32180,32209,32239,32268,32298,32327,32357,32386,32416,32445,32475,32504,32534,32563,32593,32622,32652,32681,32711,32740,32770,32799,32829,32858,32888,32917,32947,32976,33006,33035,33065,33094,33124,33153,33183,33213,33243,33272,33302,33331,33361,33390,33420,33450,33479,33509,33539,33568,33598,33627,33657,33686,33716,33745,33775,33804,33834,33863,33893,33922,33952,33981,34011,34040,34069,34099,34128,34158,34187,34217,34247,34277,34306,34336,34365,34395,34424,34454,34483,34512,34542,34571,34601,34631,34660,34690,34719,34749,34778,34808,34837,34867,34896,34926,34955,34985,35015,35044,35074,35103,35133,35162,35192,35222,35251,35280,35310,35340,35370,35399,35429,35458,35488,35517,35547,35576,35605,35635,35665,35694,35723,35753,35782,35811,35841,35871,35901,35930,35960,35989,36019,36048,36078,36107,36136,36166,36195,36225,36254,36284,36314,36343,36373,36403,36433,36462,36492,36521,36551,36580,36610,36639,36669,36698,36728,36757,36786,36816,36845,36875,36904,36934,36963,36993,37022,37052,37081,37111,37141,37170,37200,37229,37259,37288,37318,37347,37377,37406,37436,37465,37495,37524,37554,37584,37613,37643,37672,37701,37731,37760,37790,37819,37849,37878,37908,37938,37967,37997,38027,38056,38085,38115,38144,38174,38203,38233,38262,38292,38322,38351,38381,38410,38440,38469,38499,38528,38558,38587,38617,38646,38676,38705,38735,38764,38794,38823,38853,38882,38912,38941,38971,39001,39030,39059,39089,39118,39148,39178,39208,39237,39267,39297,39326,39355,39385,39414,39444,39473,39503,39532,39562,39592,39621,39650,39680,39709,39739,39768,39798,39827,39857,39886,39916,39946,39975,40005,40035,40064,40094,40123,40153,40182,40212,40241,40271,40300,40330,40359,40389,40418,40448,40477,40507,40536,40566,40595,40625,40655,40685,40714,40744,40773,40803,40832,40862,40892,40921,40951,40980,41009,41039,41068,41098,41127,41157,41186,41216,41245,41275,41304,41334,41364,41393,41422,41452,41481,41511,41540,41570,41599,41629,41658,41688,41718,41748,41777,41807,41836,41865,41894,41924,41953,41983,42012,42042,42072,42102,42131,42161,42190,42220,42249,42279,42308,42337,42367,42397,42426,42456,42485,42515,42545,42574,42604,42633,42662,42692,42721,42751,42780,42810,42839,42869,42899,42929,42958,42988,43017,43046,43076,43105,43135,43164,43194,43223,43253,43283,43312,43342,43371,43401,43430,43460,43489,43519,43548,43578,43607,43637,43666,43696,43726,43755,43785,43814,43844,43873,43903,43932,43962,43991,44021,44050,44080,44109,44139,44169,44198,44228,44258,44287,44317,44346,44375,44405,44434,44464,44493,44523,44553,44582,44612,44641,44671,44700,44730,44759,44788,44818,44847,44877,44906,44936,44966,44996,45025,45055,45084,45114,45143,45172,45202,45231,45261,45290,45320,45350,45380,45409,45439,45468,45498,45527,45556,45586,45615,45644,45674,45704,45733,45763,45793,45823,45852,45882,45911,45940,45970,45999,46028,46058,46088,46117,46147,46177,46206,46236,46265,46295,46324,46354,46383,46413,46442,46472,46501,46531,46560,46590,46620,46649,46679,46708,46738,46767,46797,46826,46856,46885,46915,46944,46974,47003,47033,47063,47092,47122,47151,47181,47210,47240,47269,47298,47328,47357,47387,47417,47446,47476,47506,47535,47565,47594,47624,47653,47682,47712,47741,47771,47800,47830,47860,47890,47919,47949,47978,48008,48037,48066,48096,48125,48155,48184,48214,48244,48273,48303,48333,48362,48392,48421,48450,48480,48509,48538,48568,48598,48627,48657,48687,48717,48746,48776,48805,48834,48864,48893,48922,48952,48982,49011,49041,49071,49100,49130,49160,49189,49218,49248,49277,49306,49336,49365,49395,49425,49455,49484,49514,49543,49573,49602,49632,49661,49690,49720,49749,49779,49809,49838,49868,49898,49927,49957,49986,50016,50045,50075,50104,50133,50163,50192,50222,50252,50281,50311,50340,50370,50400,50429,50459,50488,50518,50547,50576,50606,50635,50665,50694,50724,50754,50784,50813,50843,50872,50902,50931,50960,50990,51019,51049,51078,51108,51138,51167,51197,51227,51256,51286,51315,51345,51374,51403,51433,51462,51492,51522,51552,51582,51611,51641,51670,51699,51729,51758,51787,51816,51846,51876,51906,51936,51965,51995,52025,52054,52083,52113,52142,52171,52200,52230,52260,52290,52319,52349,52379,52408,52438,52467,52497,52526,52555,52585,52614,52644,52673,52703,52733,52762,52792,52822,52851,52881,52910,52939,52969,52998,53028,53057,53087,53116,53146,53176,53205,53235,53264,53294,53324,53353,53383,53412,53441,53471,53500,53530,53559,53589,53619,53648,53678,53708,53737,53767,53796,53825,53855,53884,53913,53943,53973,54003,54032,54062,54092,54121,54151,54180,54209,54239,54268,54297,54327,54357,54387,54416,54446,54476,54505,54535,54564,54593,54623,54652,54681,54711,54741,54770,54800,54830,54859,54889,54919,54948,54977,55007,55036,55066,55095,55125,55154,55184,55213,55243,55273,55302,55332,55361,55391,55420,55450,55479,55508,55538,55567,55597,55627,55657,55686,55716,55745,55775,55804,55834,55863,55892,55922,55951,55981,56011,56040,56070,56100,56129,56159,56188,56218,56247,56276,56306,56335,56365,56394,56424,56454,56483,56513,56543,56572,56601,56631,56660,56690,56719,56749,56778,56808,56837,56867,56897,56926,56956,56985,57015,57044,57074,57103,57133,57162,57192,57221,57251,57280,57310,57340,57369,57399,57429,57458,57487,57517,57546,57576,57605,57634,57664,57694,57723,57753,57783,57813,57842,57871,57901,57930,57959,57989,58018,58048,58077,58107,58137,58167,58196,58226,58255,58285,58314,58343,58373,58402,58432,58461,58491,58521,58551,58580,58610,58639,58669,58698,58727,58757,58786,58816,58845,58875,58905,58934,58964,58994,59023,59053,59082,59111,59141,59170,59200,59229,59259,59288,59318,59348,59377,59407,59436,59466,59495,59525,59554,59584,59613,59643,59672,59702,59731,59761,59791,59820,59850,59879,59909,59939,59968,59997,60027,60056,60086,60115,60145,60174,60204,60234,60264,60293,60323,60352,60381,60411,60440,60469,60499,60528,60558,60588,60618,60648,60677,60707,60736,60765,60795,60824,60853,60883,60912,60942,60972,61002,61031,61061,61090,61120,61149,61179,61208,61237,61267,61296,61326,61356,61385,61415,61445,61474,61504,61533,61563,61592,61621,61651,61680,61710,61739,61769,61799,61828,61858,61888,61917,61947,61976,62006,62035,62064,62094,62123,62153,62182,62212,62242,62271,62301,62331,62360,62390,62419,62448,62478,62507,62537,62566,62596,62625,62655,62685,62715,62744,62774,62803,62832,62862,62891,62921,62950,62980,63009,63039,63069,63099,63128,63157,63187,63216,63246,63275,63305,63334,63363,63393,63423,63453,63482,63512,63541,63571,63600,63630,63659,63689,63718,63747,63777,63807,63836,63866,63895,63925,63955,63984,64014,64043,64073,64102,64131,64161,64190,64220,64249,64279,64309,64339,64368,64398,64427,64457,64486,64515,64545,64574,64603,64633,64663,64692,64722,64752,64782,64811,64841,64870,64899,64929,64958,64987,65017,65047,65076,65106,65136,65166,65195,65225,65254,65283,65313,65342,65371,65401,65431,65460,65490,65520,65549,65579,65608,65638,65667,65697,65726,65755,65785,65815,65844,65874,65903,65933,65963,65992,66022,66051,66081,66110,66140,66169,66199,66228,66258,66287,66317,66346,66376,66405,66435,66465,66494,66524,66553,66583,66612,66641,66671,66700,66730,66760,66789,66819,66849,66878,66908,66937,66967,66996,67025,67055,67084,67114,67143,67173,67203,67233,67262,67292,67321,67351,67380,67409,67439,67468,67497,67527,67557,67587,67617,67646,67676,67705,67735,67764,67793,67823,67852,67882,67911,67941,67971,68e3,68030,68060,68089,68119,68148,68177,68207,68236,68266,68295,68325,68354,68384,68414,68443,68473,68502,68532,68561,68591,68620,68650,68679,68708,68738,68768,68797,68827,68857,68886,68916,68946,68975,69004,69034,69063,69092,69122,69152,69181,69211,69240,69270,69300,69330,69359,69388,69418,69447,69476,69506,69535,69565,69595,69624,69654,69684,69713,69743,69772,69802,69831,69861,69890,69919,69949,69978,70008,70038,70067,70097,70126,70156,70186,70215,70245,70274,70303,70333,70362,70392,70421,70451,70481,70510,70540,70570,70599,70629,70658,70687,70717,70746,70776,70805,70835,70864,70894,70924,70954,70983,71013,71042,71071,71101,71130,71159,71189,71218,71248,71278,71308,71337,71367,71397,71426,71455,71485,71514,71543,71573,71602,71632,71662,71691,71721,71751,71781,71810,71839,71869,71898,71927,71957,71986,72016,72046,72075,72105,72135,72164,72194,72223,72253,72282,72311,72341,72370,72400,72429,72459,72489,72518,72548,72577,72607,72637,72666,72695,72725,72754,72784,72813,72843,72872,72902,72931,72961,72991,73020,73050,73080,73109,73139,73168,73197,73227,73256,73286,73315,73345,73375,73404,73434,73464,73493,73523,73552,73581,73611,73640,73669,73699,73729,73758,73788,73818,73848,73877,73907,73936,73965,73995,74024,74053,74083,74113,74142,74172,74202,74231,74261,74291,74320,74349,74379,74408,74437,74467,74497,74526,74556,74586,74615,74645,74675,74704,74733,74763,74792,74822,74851,74881,74910,74940,74969,74999,75029,75058,75088,75117,75147,75176,75206,75235,75264,75294,75323,75353,75383,75412,75442,75472,75501,75531,75560,75590,75619,75648,75678,75707,75737,75766,75796,75826,75856,75885,75915,75944,75974,76003,76032,76062,76091,76121,76150,76180,76210,76239,76269,76299,76328,76358,76387,76416,76446,76475,76505,76534,76564,76593,76623,76653,76682,76712,76741,76771,76801,76830,76859,76889,76918,76948,76977,77007,77036,77066,77096,77125,77155,77185,77214,77243,77273,77302,77332,77361,77390,77420,77450,77479,77509,77539,77569,77598,77627,77657,77686,77715,77745,77774,77804,77833,77863,77893,77923,77952,77982,78011,78041,78070,78099,78129,78158,78188,78217,78247,78277,78307,78336,78366,78395,78425,78454,78483,78513,78542,78572,78601,78631,78661,78690,78720,78750,78779,78808,78838,78867,78897,78926,78956,78985,79015,79044,79074,79104,79133,79163,79192,79222,79251,79281,79310,79340,79369,79399,79428,79458,79487,79517,79546,79576,79606,79635,79665,79695,79724,79753,79783,79812,79841,79871,79900,79930,79960,79990]},{"../main":341,"object-assign":242}],341:[function(t,e,r){var n=t("object-assign");function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||"y"!==n&&"m"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var i={y:[1,1,"y"],m:[1,this.monthsInYear(-1),"m"],w:[this.daysInWeek(),this.daysInYear(-1),"d"],d:[1,this.daysInYear(-1),"d"]}[n],a=r<0?-1:1;e=this._add(t,r*i[0]+a*i[1],i[2])}return t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate);var n="y"===r?e:t.year(),i="m"===r?e:t.month(),a="d"===r?e:t.day();return"y"!==r&&"m"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return c.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(c.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this.local.name).replace(/\{1\}/,t.calendar().local.name);return t}try{if(this._validateLevel++,1===this._validateLevel&&!this.isValid(t,e,r))throw n.replace(/\{0\}/,this.local.name);var i=this.newDate(t,e,r);return this._validateLevel--,i}catch(t){throw this._validateLevel--,t}}}),l.prototype=new s,n(l.prototype,{name:"Gregorian",jdEpoch:1721425.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Gregorian",epochs:["BCE","CE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==0&&(t%100!=0||t%400==0)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=(r=e+1+r-Math.floor(r/4))+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),c=i-(l>2.5?4716:4715);return c<=0&&c--,this.newDate(c,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var c=e.exports=new i;c.cdate=a,c.baseCalendar=s,c.calendars.gregorian=l},{"object-assign":242}],342:[function(t,e,r){var n=t("object-assign"),i=t("./main");n(i.regionalOptions[""],{invalidArguments:"Invalid arguments",invalidFormat:"Cannot format a date from another calendar",missingNumberAt:"Missing number at position {0}",unknownNameAt:"Unknown name at position {0}",unexpectedLiteralAt:"Unexpected literal at position {0}",unexpectedText:"Additional text found at end"}),i.local=i.regionalOptions[""],n(i.cdate.prototype,{formatDate:function(t,e){return"string"!=typeof t&&(e=t,t=""),this._calendar.formatDate(t||"",this,e)}}),n(i.baseCalendar.prototype,{UNIX_EPOCH:i.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:86400,TICKS_EPOCH:i.instance().jdEpoch,TICKS_PER_DAY:864e9,ATOM:"yyyy-mm-dd",COOKIE:"D, dd M yyyy",FULL:"DD, MM d, yyyy",ISO_8601:"yyyy-mm-dd",JULIAN:"J",RFC_822:"D, d M yy",RFC_850:"DD, dd-M-yy",RFC_1036:"D, d M yy",RFC_1123:"D, d M yyyy",RFC_2822:"D, d M yyyy",RSS:"D, d M yy",TICKS:"!",TIMESTAMP:"@",W3C:"yyyy-mm-dd",formatDate:function(t,e,r){if("string"!=typeof t&&(r=e,e=t,t=""),!e)return"";if(e.calendar()!==this)throw i.local.invalidFormat||i.regionalOptions[""].invalidFormat;t=t||this.local.dateFormat;for(var n,a,o,s,l=(r=r||{}).dayNamesShort||this.local.dayNamesShort,c=r.dayNames||this.local.dayNames,u=r.monthNumbers||this.local.monthNumbers,f=r.monthNamesShort||this.local.monthNamesShort,h=r.monthNames||this.local.monthNames,p=(r.calculateWeek||this.local.calculateWeek,function(e,r){for(var n=1;w+n<t.length&&t.charAt(w+n)===e;)n++;return w+=n-1,Math.floor(n/(r||1))>1}),d=function(t,e,r,n){var i=""+e;if(p(t,n))for(;i.length<r;)i="0"+i;return i},m=this,g=function(t){return"function"==typeof u?u.call(m,t,p("m")):x(d("m",t.month(),2))},v=function(t,e){return e?"function"==typeof h?h.call(m,t):h[t.month()-m.minMonth]:"function"==typeof f?f.call(m,t):f[t.month()-m.minMonth]},y=this.local.digits,x=function(t){return r.localNumbers&&y?y(t):t},b="",_=!1,w=0;w<t.length;w++)if(_)"'"!==t.charAt(w)||p("'")?b+=t.charAt(w):_=!1;else switch(t.charAt(w)){case"d":b+=x(d("d",e.day(),2));break;case"D":b+=(n="D",a=e.dayOfWeek(),o=l,s=c,p(n)?s[a]:o[a]);break;case"o":b+=d("o",e.dayOfYear(),3);break;case"w":b+=d("w",e.weekOfYear(),2);break;case"m":b+=g(e);break;case"M":b+=v(e,p("M"));break;case"y":b+=p("y",2)?e.year():(e.year()%100<10?"0":"")+e.year()%100;break;case"Y":p("Y",2),b+=e.formatYear();break;case"J":b+=e.toJD();break;case"@":b+=(e.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case"!":b+=(e.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case"'":p("'")?b+="'":_=!0;break;default:b+=t.charAt(w)}return b},parseDate:function(t,e,r){if(null==e)throw i.local.invalidArguments||i.regionalOptions[""].invalidArguments;if(""===(e="object"==typeof e?e.toString():e+""))return null;t=t||this.local.dateFormat;var n=(r=r||{}).shortYearCutoff||this.shortYearCutoff;n="string"!=typeof n?n:this.today().year()%100+parseInt(n,10);for(var a=r.dayNamesShort||this.local.dayNamesShort,o=r.dayNames||this.local.dayNames,s=r.parseMonth||this.local.parseMonth,l=r.monthNumbers||this.local.monthNumbers,c=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,f=-1,h=-1,p=-1,d=-1,m=-1,g=!1,v=!1,y=function(e,r){for(var n=1;M+n<t.length&&t.charAt(M+n)===e;)n++;return M+=n-1,Math.floor(n/(r||1))>1},x=function(t,r){var n=y(t,r),a=[2,3,n?4:2,n?4:2,10,11,20]["oyYJ@!".indexOf(t)+1],o=new RegExp("^-?\\d{1,"+a+"}"),s=e.substring(A).match(o);if(!s)throw(i.local.missingNumberAt||i.regionalOptions[""].missingNumberAt).replace(/\{0\}/,A);return A+=s[0].length,parseInt(s[0],10)},b=this,_=function(){if("function"==typeof l){y("m");var t=l.call(b,e.substring(A));return A+=t.length,t}return x("m")},w=function(t,r,n,a){for(var o=y(t,a)?n:r,s=0;s<o.length;s++)if(e.substr(A,o[s].length).toLowerCase()===o[s].toLowerCase())return A+=o[s].length,s+b.minMonth;throw(i.local.unknownNameAt||i.regionalOptions[""].unknownNameAt).replace(/\{0\}/,A)},T=function(){if("function"==typeof u){var t=y("M")?u.call(b,e.substring(A)):c.call(b,e.substring(A));return A+=t.length,t}return w("M",c,u)},k=function(){if(e.charAt(A)!==t.charAt(M))throw(i.local.unexpectedLiteralAt||i.regionalOptions[""].unexpectedLiteralAt).replace(/\{0\}/,A);A++},A=0,M=0;M<t.length;M++)if(v)"'"!==t.charAt(M)||y("'")?k():v=!1;else switch(t.charAt(M)){case"d":d=x("d");break;case"D":w("D",a,o);break;case"o":m=x("o");break;case"w":x("w");break;case"m":p=_();break;case"M":p=T();break;case"y":var S=M;g=!y("y",2),M=S,h=x("y",2);break;case"Y":h=x("Y",2);break;case"J":f=x("J")+.5,"."===e.charAt(A)&&(A++,x("J"));break;case"@":f=x("@")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case"!":f=x("!")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case"*":A=e.length;break;case"'":y("'")?k():v=!0;break;default:k()}if(A<e.length)throw i.local.unexpectedText||i.regionalOptions[""].unexpectedText;if(-1===h?h=this.today().year():h<100&&g&&(h+=-1===n?1900:this.today().year()-this.today().year()%100-(h<=n?0:100)),"string"==typeof p&&(p=s.call(this,h,p)),m>-1){p=1,d=m;for(var E=this.daysInMonth(h,p);d>E;E=this.daysInMonth(h,p))p++,d-=E}return f>-1?this.fromJD(f):this.newDate(h,p,d)},determineDate:function(t,e,r,n,i){r&&"object"!=typeof r&&(i=n,n=r,r=null),"string"!=typeof n&&(i=n,n="");var a=this;return e=e?e.newDate():null,t=null==t?e:"string"==typeof t?function(t){try{return a.parseDate(n,t,i)}catch(t){}for(var e=((t=t.toLowerCase()).match(/^c/)&&r?r.newDate():null)||a.today(),o=/([+-]?[0-9]+)\s*(d|w|m|y)?/g,s=o.exec(t);s;)e.add(parseInt(s[1],10),s[2]||"d"),s=o.exec(t);return e}(t):"number"==typeof t?isNaN(t)||t===1/0||t===-1/0?e:a.today().add(t,"d"):a.newDate(t)}})},{"./main":341,"object-assign":242}],343:[function(t,e,r){"use strict";e.exports=[{path:"",backoff:0},{path:"M-2.4,-3V3L0.6,0Z",backoff:.6},{path:"M-3.7,-2.5V2.5L1.3,0Z",backoff:1.3},{path:"M-4.45,-3L-1.65,-0.2V0.2L-4.45,3L1.55,0Z",backoff:1.55},{path:"M-2.2,-2.2L-0.2,-0.2V0.2L-2.2,2.2L-1.4,3L1.6,0L-1.4,-3Z",backoff:1.6},{path:"M-4.4,-2.1L-0.6,-0.2V0.2L-4.4,2.1L-4,3L2,0L-4,-3Z",backoff:2},{path:"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z",backoff:0,noRotate:!0},{path:"M2,2V-2H-2V2Z",backoff:0,noRotate:!0}]},{}],344:[function(t,e,r){"use strict";var n=t("./arrow_paths"),i=t("../../plots/font_attributes"),a=t("../../plots/cartesian/constants"),o=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=o("annotation",{visible:{valType:"boolean",dflt:!0,editType:"calc+arraydraw"},text:{valType:"string",editType:"calc+arraydraw"},textangle:{valType:"angle",dflt:0,editType:"calc+arraydraw"},font:i({editType:"calc+arraydraw",colorEditType:"arraydraw"}),width:{valType:"number",min:1,dflt:null,editType:"calc+arraydraw"},height:{valType:"number",min:1,dflt:null,editType:"calc+arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},align:{valType:"enumerated",values:["left","center","right"],dflt:"center",editType:"arraydraw"},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"arraydraw"},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw"},bordercolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw"},borderpad:{valType:"number",min:0,dflt:1,editType:"calc+arraydraw"},borderwidth:{valType:"number",min:0,dflt:1,editType:"calc+arraydraw"},showarrow:{valType:"boolean",dflt:!0,editType:"calc+arraydraw"},arrowcolor:{valType:"color",editType:"arraydraw"},arrowhead:{valType:"integer",min:0,max:n.length,dflt:1,editType:"arraydraw"},startarrowhead:{valType:"integer",min:0,max:n.length,dflt:1,editType:"arraydraw"},arrowside:{valType:"flaglist",flags:["end","start"],extras:["none"],dflt:"end",editType:"arraydraw"},arrowsize:{valType:"number",min:.3,dflt:1,editType:"calc+arraydraw"},startarrowsize:{valType:"number",min:.3,dflt:1,editType:"calc+arraydraw"},arrowwidth:{valType:"number",min:.1,editType:"calc+arraydraw"},standoff:{valType:"number",min:0,dflt:0,editType:"calc+arraydraw"},startstandoff:{valType:"number",min:0,dflt:0,editType:"calc+arraydraw"},ax:{valType:"any",editType:"calc+arraydraw"},ay:{valType:"any",editType:"calc+arraydraw"},axref:{valType:"enumerated",dflt:"pixel",values:["pixel",a.idRegex.x.toString()],editType:"calc"},ayref:{valType:"enumerated",dflt:"pixel",values:["pixel",a.idRegex.y.toString()],editType:"calc"},xref:{valType:"enumerated",values:["paper",a.idRegex.x.toString()],editType:"calc"},x:{valType:"any",editType:"calc+arraydraw"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"auto",editType:"calc+arraydraw"},xshift:{valType:"number",dflt:0,editType:"calc+arraydraw"},yref:{valType:"enumerated",values:["paper",a.idRegex.y.toString()],editType:"calc"},y:{valType:"any",editType:"calc+arraydraw"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"auto",editType:"calc+arraydraw"},yshift:{valType:"number",dflt:0,editType:"calc+arraydraw"},clicktoshow:{valType:"enumerated",values:[!1,"onoff","onout"],dflt:!1,editType:"arraydraw"},xclick:{valType:"any",editType:"arraydraw"},yclick:{valType:"any",editType:"arraydraw"},hovertext:{valType:"string",editType:"arraydraw"},hoverlabel:{bgcolor:{valType:"color",editType:"arraydraw"},bordercolor:{valType:"color",editType:"arraydraw"},font:i({editType:"arraydraw"}),editType:"arraydraw"},captureevents:{valType:"boolean",editType:"arraydraw"},editType:"calc",_deprecated:{ref:{valType:"string",editType:"calc"}}})},{"../../constants/axis_placeable_objects":467,"../../plot_api/plot_template":538,"../../plots/cartesian/constants":556,"../../plots/font_attributes":580,"./arrow_paths":343}],345:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("./draw").draw;function o(t){var e=t._fullLayout;n.filterVisible(e.annotations).forEach((function(e){var r=i.getFromId(t,e.xref),n=i.getFromId(t,e.yref),a=i.getRefType(e.xref),o=i.getRefType(e.yref);e._extremes={},"range"===a&&s(e,r),"range"===o&&s(e,n)}))}function s(t,e){var r,n=e._id,a=n.charAt(0),o=t[a],s=t["a"+a],l=t[a+"ref"],c=t["a"+a+"ref"],u=t["_"+a+"padplus"],f=t["_"+a+"padminus"],h={x:1,y:-1}[a]*t[a+"shift"],p=3*t.arrowsize*t.arrowwidth||0,d=p+h,m=p-h,g=3*t.startarrowsize*t.arrowwidth||0,v=g+h,y=g-h;if(c===l){var x=i.findExtremes(e,[e.r2c(o)],{ppadplus:d,ppadminus:m}),b=i.findExtremes(e,[e.r2c(s)],{ppadplus:Math.max(u,v),ppadminus:Math.max(f,y)});r={min:[x.min[0],b.min[0]],max:[x.max[0],b.max[0]]}}else v=s?v+s:v,y=s?y-s:y,r=i.findExtremes(e,[e.r2c(o)],{ppadplus:Math.max(u,d,v),ppadminus:Math.max(f,m,y)});t._extremes[n]=r}e.exports=function(t){var e=t._fullLayout;if(n.filterVisible(e.annotations).length&&t._fullData.length)return n.syncOrAsync([a,o],t)}},{"../../lib":498,"../../plots/cartesian/axes":549,"./draw":350}],346:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("../../plot_api/plot_template").arrayEditor;function o(t,e){var r,n,i,a,o,l,c,u=t._fullLayout.annotations,f=[],h=[],p=[],d=(e||[]).length;for(r=0;r<u.length;r++)if(a=(i=u[r]).clicktoshow){for(n=0;n<d;n++)if(l=(o=e[n]).xaxis,c=o.yaxis,l._id===i.xref&&c._id===i.yref&&l.d2r(o.x)===s(i._xclick,l)&&c.d2r(o.y)===s(i._yclick,c)){(i.visible?"onout"===a?h:p:f).push(r);break}n===d&&i.visible&&"onout"===a&&h.push(r)}return{on:f,off:h,explicitOff:p}}function s(t,e){return"log"===e.type?e.l2r(t):e.d2r(t)}e.exports={hasClickToShow:function(t,e){var r=o(t,e);return r.on.length>0||r.explicitOff.length>0},onClick:function(t,e){var r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,"annotations",h[c[r]])).modifyItem("visible",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,"annotations",h[u[r]])).modifyItem("visible",!1),n.extendFlat(f,s.getUpdateObj());return i.call("update",t,{},f)}}},{"../../lib":498,"../../plot_api/plot_template":538,"../../registry":633}],347:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color");e.exports=function(t,e,r,a){a("opacity");var o=a("bgcolor"),s=a("bordercolor"),l=i.opacity(s);a("borderpad");var c=a("borderwidth"),u=a("showarrow");if(a("text",u?" ":r._dfltTitle.annotation),a("textangle"),n.coerceFont(a,"font",r.font),a("width"),a("align"),a("height")&&a("valign"),u){var f,h,p=a("arrowside");-1!==p.indexOf("end")&&(f=a("arrowhead"),h=a("arrowsize")),-1!==p.indexOf("start")&&(a("startarrowhead",f),a("startarrowsize",h)),a("arrowcolor",l?e.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var d=a("hovertext"),m=r.hoverlabel||{};if(d){var g=a("hoverlabel.bgcolor",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",m.bordercolor||i.contrast(g));n.coerceFont(a,"hoverlabel.font",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a("captureevents",!!d)}},{"../../lib":498,"../color":361}],348:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c="annotations["+h+"].",l[f+"ref"]===e._id&&p(f),l["a"+f+"ref"]===e._id&&p("a"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{"../../lib/to_log_range":526,"fast-isnumeric":185}],349:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./common_defaults"),s=t("./attributes");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=["x","y"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,"","paper");if("paper"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v="a"+m,y=i.coerceRef(t,e,p,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==g&&(y=e[v]="pixel");var x="pixel"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(m+"anchor"),a(m+"shift")}if(n.noneOrAll(t,e,["x","y"]),u&&n.noneOrAll(t,e,["ax","ay"]),c){var b=a("xclick"),_=a("yclick");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:"annotations",handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"./attributes":344,"./common_defaults":347}],350:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=o.strTranslate,l=t("../../plots/cartesian/axes"),c=t("../color"),u=t("../drawing"),f=t("../fx"),h=t("../../lib/svg_text_utils"),p=t("../../lib/setcursor"),d=t("../dragelement"),m=t("../../plot_api/plot_template").arrayEditor,g=t("./draw_arrow_head");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+"ref"],s=-1!==r.indexOf("y"),c="domain"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b="annotation-"+a,_=a+".annotations"):(b="annotation",_="annotations");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll("."+b+'[data-index="'+r+'"]').remove();var L="clip"+w._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append("g").classed(b,!0).attr("data-index",String(r)).style("opacity",e.opacity),O=I.append("g").classed("annotation-text-g",!0),z=k[e.showarrow?"annotationTail":"annotationPosition"],D=e.captureevents||k.annotationText||z,R=O.append("g").style("pointer-events",D?"all":null).call(p,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",Y(n.event))}));e.hovertext&&R.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on("mouseout",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append("rect").attr("class","bg").style("stroke-width",F+"px").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll("#"+L).data(U?[0]:[]);V.enter().append("clipPath").classed("annclip",!0).attr("id",L).append("rect"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on("edit",(function(r){e.text=r,this.call(W),S("text",r),v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0),i.call("_guiRelayout",t,E())})):G.call(W)}else n.selectAll("#"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll("a");1===r.size()&&r.text()===G.text()&&R.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(j.node());var n=R.select(".annotation-text-math-group"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=["x","y"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:v,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+"anchor"],ut=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt="domain"===ht;"x"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e["a"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);"domain"===gt?("y"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):"paper"===gt?"y"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),"pixel"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e["_"+et+"padplus"]=lt/2+K,e["_"+et+"padminus"]=lt/2-K,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(W)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(D-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select("rect").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){I.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),z=+j.attr("height"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append("g").style({opacity:c.opacity(H)}).classed("annotation-arrow-g",!0),Y=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-W)+","+(p-X),transform:s(W,X)}).style("stroke-width",V+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S("x",y(v,t,"x",T,e)),S("y",y(x,r,"y",T,e)),e.axref===e.xref&&S("ax",y(v,t,"ax",T,e)),e.ayref===e.yref&&S("ay",y(x,r,"ay",T,e)),G.attr("transform",s(t,r)),O.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",y(v,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",y(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,"x",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,"y",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S("x",i),S("y",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",Y(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{"../../lib":498,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/plot_template":538,"../../plots/cartesian/axes":549,"../../plots/plots":614,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"../fx":401,"./draw_arrow_head":351,"@plotly/d3":58}],351:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color"),a=t("./arrow_paths"),o=t("../../lib"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},u={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function z(){t.style("stroke-dasharray","0px,100px")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}y&&D(m,o,f,v),x&&D(d,u,h,g)}},{"../../lib":498,"../color":361,"./arrow_paths":343,"@plotly/d3":58}],352:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":562,"./attributes":344,"./calc_autorange":345,"./click":346,"./convert_coords":348,"./defaults":349,"./draw":350}],353:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../annotations/attributes":344}],354:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes");function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:"linear",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}e.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(".annotation-"+t.id).remove()}},{"../../lib":498,"../../plots/cartesian/axes":549}],355:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("../annotations/common_defaults"),s=t("./attributes");function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+"axis",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l("visible")&&(o(t,e,a.fullLayout,l),c("x"),c("y"),c("z"),n.noneOrAll(t,e,["x","y","z"]),e.xref="x",e.yref="y",e.zref="z",l("xanchor"),l("yanchor"),l("xshift"),l("yshift"),e.showarrow&&(e.axref="pixel",e.ayref="pixel",l("ax",-10),l("ay",-30),n.noneOrAll(t,e,["ax","ay"])))}e.exports=function(t,e,r){a(t,e,{name:"annotations",handleItemDefaults:l,fullLayout:r.fullLayout})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"../annotations/common_defaults":347,"./attributes":353}],356:[function(t,e,r){"use strict";var n=t("../annotations/draw").drawRaw,i=t("../../plots/gl3d/project"),a=["x","y","z"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var f=a[u],h=l[f],p=e[f+"axis"].r2fraction(h);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{"../../plots/gl3d/project":602,"../annotations/draw":350}],357:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t("./convert"),draw:t("./draw")}},{"../../lib":498,"../../registry":633,"./attributes":353,"./convert":354,"./defaults":355,"./draw":356}],358:[function(t,e,r){"use strict";e.exports=t("world-calendars/dist/main"),t("world-calendars/dist/plus"),t("world-calendars/dist/calendars/chinese"),t("world-calendars/dist/calendars/coptic"),t("world-calendars/dist/calendars/discworld"),t("world-calendars/dist/calendars/ethiopian"),t("world-calendars/dist/calendars/hebrew"),t("world-calendars/dist/calendars/islamic"),t("world-calendars/dist/calendars/julian"),t("world-calendars/dist/calendars/mayan"),t("world-calendars/dist/calendars/nanakshahi"),t("world-calendars/dist/calendars/nepali"),t("world-calendars/dist/calendars/persian"),t("world-calendars/dist/calendars/taiwan"),t("world-calendars/dist/calendars/thai"),t("world-calendars/dist/calendars/ummalqura")},{"world-calendars/dist/calendars/chinese":327,"world-calendars/dist/calendars/coptic":328,"world-calendars/dist/calendars/discworld":329,"world-calendars/dist/calendars/ethiopian":330,"world-calendars/dist/calendars/hebrew":331,"world-calendars/dist/calendars/islamic":332,"world-calendars/dist/calendars/julian":333,"world-calendars/dist/calendars/mayan":334,"world-calendars/dist/calendars/nanakshahi":335,"world-calendars/dist/calendars/nepali":336,"world-calendars/dist/calendars/persian":337,"world-calendars/dist/calendars/taiwan":338,"world-calendars/dist/calendars/thai":339,"world-calendars/dist/calendars/ummalqura":340,"world-calendars/dist/main":341,"world-calendars/dist/plus":342}],359:[function(t,e,r){"use strict";var n=t("./calendars"),i=t("../../lib"),a=t("../../constants/numerical"),o=a.EPOCHJD,s=a.ONEDAY,l={valType:"enumerated",values:i.sortObjectKeys(n.calendars),editType:"calc",dflt:"gregorian"},c=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},u={d:{0:"dd","-":"d"},e:{0:"d","-":"d"},a:{0:"D","-":"D"},A:{0:"DD","-":"DD"},j:{0:"oo","-":"o"},W:{0:"ww","-":"w"},m:{0:"mm","-":"m"},b:{0:"M","-":"M"},B:{0:"MM","-":"MM"},y:{0:"yy","-":"yy"},Y:{0:"yyyy","-":"yyyy"},U:"##",w:"##",c:{0:"D M d %X yyyy","-":"D M d %X yyyy"},x:{0:"mm/dd/yyyy","-":"mm/dd/yyyy"}};var f={};function h(t){var e=f[t];return e||(e=f[t]=n.instance(t))}function p(t){return i.extendFlat({},l,{description:t})}function d(t){return"Sets the calendar system to use with `"+t+"` date data."}var m={xcalendar:p(d("x"))},g=i.extendFlat({},m,{ycalendar:p(d("y"))}),v=i.extendFlat({},g,{zcalendar:p(d("z"))}),y=p(["Sets the calendar system to use for `range` and `tick0`","if this is a date axis. This does not set the calendar for","interpreting data on this axis, that's specified in the trace","or via the global `layout.calendar`"].join(" "));e.exports={moduleType:"component",name:"calendars",schema:{traces:{scatter:g,bar:g,box:g,heatmap:g,contour:g,histogram:g,histogram2d:g,histogram2dcontour:g,scatter3d:v,surface:v,mesh3d:v,scattergl:g,ohlc:m,candlestick:m},layout:{calendar:p(["Sets the default calendar system to use for interpreting and","displaying dates throughout the plot."].join(" "))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p(["WARNING: All transforms are deprecated and may be removed from the API in next major version.","Sets the calendar system to use for `value`, if it is a date."].join(" ")),targetcalendar:p(["WARNING: All transforms are deprecated and may be removed from the API in next major version.","Sets the calendar system to use for `target`, if it is an","array of dates. If `target` is a string (eg *x*) we use the","corresponding trace attribute (eg `xcalendar`) if it exists,","even if `targetcalendar` is provided."].join(" "))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+"calendar",n.calendar)},CANONICAL_SUNDAY:{chinese:"2000-01-02",coptic:"2000-01-03",discworld:"2000-01-03",ethiopian:"2000-01-05",hebrew:"5000-01-01",islamic:"1000-01-02",julian:"2000-01-03",mayan:"5000-01-01",nanakshahi:"1000-01-05",nepali:"2000-01-05",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-04",thai:"2000-01-04",ummalqura:"1400-01-06"},CANONICAL_TICK:{chinese:"2000-01-01",coptic:"2000-01-01",discworld:"2000-01-01",ethiopian:"2000-01-01",hebrew:"5000-01-01",islamic:"1000-01-01",julian:"2000-01-01",mayan:"5000-01-01",nanakshahi:"1000-01-01",nepali:"2000-01-01",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-01",thai:"2000-01-01",ummalqura:"1400-01-01"},DFLTRANGE:{chinese:["2000-01-01","2001-01-01"],coptic:["1700-01-01","1701-01-01"],discworld:["1800-01-01","1801-01-01"],ethiopian:["2000-01-01","2001-01-01"],hebrew:["5700-01-01","5701-01-01"],islamic:["1400-01-01","1401-01-01"],julian:["2000-01-01","2001-01-01"],mayan:["5200-01-01","5201-01-01"],nanakshahi:["0500-01-01","0501-01-01"],nepali:["2000-01-01","2001-01-01"],persian:["1400-01-01","1401-01-01"],jalali:["1400-01-01","1401-01-01"],taiwan:["0100-01-01","0101-01-01"],thai:["2500-01-01","2501-01-01"],ummalqura:["1400-01-01","1401-01-01"]},getCal:h,worldCalFmt:function(t,e,r){for(var n,i,a,l,c,f=Math.floor((e+.05)/s)+o,p=h(r).fromJD(f),d=0;-1!==(d=t.indexOf("%",d));)"0"===(n=t.charAt(d+1))||"-"===n||"_"===n?(a=3,i=t.charAt(d+2),"_"===n&&(n="-")):(i=n,n="0",a=2),(l=u[i])?(c="##"===l?"##":p.formatDate(l[n]),t=t.substr(0,d)+c+t.substr(d+a),d+=c.length):d+=a;return t}}},{"../../constants/numerical":474,"../../lib":498,"./calendars":358}],360:[function(t,e,r){"use strict";r.defaults=["#1f77b4","#ff7f0e","#2ca02c","#d62728","#9467bd","#8c564b","#e377c2","#7f7f7f","#bcbd22","#17becf"],r.defaultLine="#444",r.lightLine="#eee",r.background="#fff",r.borderLine="#BEC8D9",r.lightFraction=1e3/11},{}],361:[function(t,e,r){"use strict";var n=t("tinycolor2"),i=t("fast-isnumeric"),a=t("../../lib/array").isTypedArray,o=e.exports={},s=t("./attributes");o.defaults=s.defaults;var l=o.defaultLine=s.defaultLine;o.lightLine=s.lightLine;var c=o.background=s.background;function u(t){if(i(t)||"string"!=typeof t)return t;var e=t.trim();if("rgb"!==e.substr(0,3))return t;var r=e.match(/^rgba?\s*\(([^()]*)\)$/);if(!r)return t;var n=r[1].trim().split(/\s*[\s,]\s*/),a="a"===e.charAt(3)&&4===n.length;if(!a&&3!==n.length)return t;for(var o=0;o<n.length;o++){if(!n[o].length)return t;if(n[o]=Number(n[o]),!(n[o]>=0))return t;if(3===o)n[o]>1&&(n[o]=1);else if(n[o]>=1)return t}var s=Math.round(255*n[0])+", "+Math.round(255*n[1])+", "+Math.round(255*n[2]);return a?"rgba("+s+", "+n[3]+")":"rgb("+s+")"}o.tinyRGB=function(t){var e=t.toRgb();return"rgb("+Math.round(e.r)+", "+Math.round(e.g)+", "+Math.round(e.b)+")"},o.rgb=function(t){return o.tinyRGB(n(t))},o.opacity=function(t){return t?n(t).getAlpha():0},o.addOpacity=function(t,e){var r=n(t).toRgb();return"rgba("+Math.round(r.r)+", "+Math.round(r.g)+", "+Math.round(r.b)+", "+e+")"},o.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var i=n(e||c).toRgb(),a=1===i.a?i:{r:255*(1-i.a)+i.r*i.a,g:255*(1-i.a)+i.g*i.a,b:255*(1-i.a)+i.b*i.a},o={r:a.r*(1-r.a)+r.r*r.a,g:a.g*(1-r.a)+r.g*r.a,b:a.b*(1-r.a)+r.b*r.a};return n(o).toRgbString()},o.contrast=function(t,e,r){var i=n(t);return 1!==i.getAlpha()&&(i=n(o.combine(t,c))),(i.isDark()?e?i.lighten(e):c:r?i.darken(r):l).toString()},o.stroke=function(t,e){var r=n(e);t.style({stroke:o.tinyRGB(r),"stroke-opacity":r.getAlpha()})},o.fill=function(t,e){var r=n(e);t.style({fill:o.tinyRGB(r),"fill-opacity":r.getAlpha()})},o.clean=function(t){if(t&&"object"==typeof t){var e,r,n,i,s=Object.keys(t);for(e=0;e<s.length;e++)if(i=t[n=s[e]],"color"===n.substr(n.length-5))if(Array.isArray(i))for(r=0;r<i.length;r++)i[r]=u(i[r]);else t[n]=u(i);else if("colorscale"===n.substr(n.length-10)&&Array.isArray(i))for(r=0;r<i.length;r++)Array.isArray(i[r])&&(i[r][1]=u(i[r][1]));else if(Array.isArray(i)){var l=i[0];if(!Array.isArray(l)&&l&&"object"==typeof l)for(r=0;r<i.length;r++)o.clean(i[r])}else i&&"object"==typeof i&&!a(i)&&o.clean(i)}}},{"../../lib/array":480,"./attributes":360,"fast-isnumeric":185,tinycolor2:307}],362:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/layout_attributes"),i=t("../../plots/font_attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll;e.exports=o({orientation:{valType:"enumerated",values:["h","v"],dflt:"v"},thicknessmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"pixels"},thickness:{valType:"number",min:0,dflt:30},lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",min:-2,max:3},xanchor:{valType:"enumerated",values:["left","center","right"]},xpad:{valType:"number",min:0,dflt:10},y:{valType:"number",min:-2,max:3},yanchor:{valType:"enumerated",values:["top","middle","bottom"]},ypad:{valType:"number",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:"number",min:0,dflt:0},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)"},tickmode:n.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:""}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:"enumerated",values:["outside","inside","outside top","inside top","outside left","inside left","outside right","inside right","outside bottom","inside bottom"],dflt:"outside"},ticklen:n.ticklen,tickwidth:n.tickwidth,tickcolor:n.tickcolor,ticklabelstep:n.ticklabelstep,showticklabels:n.showticklabels,tickfont:i({}),tickangle:n.tickangle,tickformat:n.tickformat,tickformatstops:n.tickformatstops,tickprefix:n.tickprefix,showtickprefix:n.showtickprefix,ticksuffix:n.ticksuffix,showticksuffix:n.showticksuffix,separatethousands:n.separatethousands,exponentformat:n.exponentformat,minexponent:n.minexponent,showexponent:n.showexponent,title:{text:{valType:"string"},font:i({}),side:{valType:"enumerated",values:["right","top","bottom"]}},_deprecated:{title:{valType:"string"},titlefont:i({}),titleside:{valType:"enumerated",values:["right","top","bottom"],dflt:"top"}}},"colorbars","from-root")},{"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/cartesian/layout_attributes":564,"../../plots/font_attributes":580}],363:[function(t,e,r){"use strict";e.exports={cn:{colorbar:"colorbar",cbbg:"cbbg",cbfill:"cbfill",cbfills:"cbfills",cbline:"cbline",cblines:"cblines",cbaxis:"cbaxis",cbtitleunshift:"cbtitleunshift",cbtitle:"cbtitle",cboutline:"cboutline",crisp:"crisp",jsPlaceholder:"js-placeholder"}}},{}],364:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/plot_template"),a=t("../../plots/cartesian/tick_value_defaults"),o=t("../../plots/cartesian/tick_mark_defaults"),s=t("../../plots/cartesian/tick_label_defaults"),l=t("../../plots/cartesian/prefix_suffix_defaults"),c=t("./attributes");e.exports=function(t,e,r){var u=i.newContainer(e,"colorbar"),f=t.colorbar||{};function h(t,e){return n.coerce(f,u,c,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,m=r.height-p.t-p.b,g="v"===h("orientation"),v=h("thicknessmode");h("thickness","fraction"===v?30/(g?d:m):30);var y=h("lenmode");h("len","fraction"===y?1:g?m:d),h("x",g?1.02:.5),h("xanchor",g?"left":"center"),h("xpad"),h("y",g?.5:1.02),h("yanchor",g?"middle":"bottom"),h("ypad"),n.noneOrAll(f,u,["x","y"]),h("outlinecolor"),h("outlinewidth"),h("bordercolor"),h("borderwidth"),h("bgcolor");var x=n.coerce(f,u,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:g?["outside","inside","outside top","inside top","outside bottom","inside bottom"]:["outside","inside","outside left","inside left","outside right","inside right"]}},"ticklabelposition");h("ticklabeloverflow",-1!==x.indexOf("inside")?"hide past domain":"hide past div"),a(f,u,h,"linear");var b=r.font,_={outerTicks:!1,font:b};-1!==x.indexOf("inside")&&(_.bgColor="black"),l(f,u,h,"linear",_),s(f,u,h,"linear",_),o(f,u,h,"linear",_),h("title.text",r._dfltTitle.colorbar);var w=u.tickfont,T=n.extendFlat({},w,{color:b.color,size:n.bigFont(w.size)});n.coerceFont(h,"title.font",T),h("title.side",g?"top":"right")}},{"../../lib":498,"../../plot_api/plot_template":538,"../../plots/cartesian/prefix_suffix_defaults":568,"../../plots/cartesian/tick_label_defaults":573,"../../plots/cartesian/tick_mark_defaults":574,"../../plots/cartesian/tick_value_defaults":575,"./attributes":362}],365:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("tinycolor2"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../plots/cartesian/axes"),l=t("../dragelement"),c=t("../../lib"),u=c.strTranslate,f=t("../../lib/extend").extendFlat,h=t("../../lib/setcursor"),p=t("../drawing"),d=t("../color"),m=t("../titles"),g=t("../../lib/svg_text_utils"),v=t("../colorscale/helpers").flipScale,y=t("../../plots/cartesian/axis_defaults"),x=t("../../plots/cartesian/position_defaults"),b=t("../../plots/cartesian/layout_attributes"),_=t("../../constants/alignment"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t("./constants").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll("g."+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){"function"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?v(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var u=0;u<o.length;u++){var h=o[u],p=(n=h[0].trace)._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),m=d?p:[p],g=0;g<m.length;g++){var y=(i=m[g]).container;(r=y?n[y]:n)&&r.showscale&&((e=l(r.colorbar))._id="cb"+n.uid+(d&&y?"-"+y:""),e._traceIndex=n.index,e._propPrefix=(y?y+".":"")+"colorbar.",e._meta=n._meta,c(),s.push(e))}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id="cb"+x,e._propPrefix=x+".colorbar.",e._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),c(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append("g").attr("class",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);c.ensureSingle(r,"rect",A.cbbg),c.ensureSingle(r,"g",A.cbfills),c.ensureSingle(r,"g",A.cblines),c.ensureSingle(r,"g",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,"g",A.cbtitleunshift,(function(t){t.append("g").classed(A.cbtitle,!0)})),c.ensureSingle(r,"rect",A.cboutline);var v=function(t,e,r){var o="v"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent(("function"==typeof F?F:B.color).domain()),V="function"==typeof B.color?B.color:function(){return B.color},H="function"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if("function"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&"string"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*("fraction"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*("fraction"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i="v"===e.orientation,a={type:"linear",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:"free",side:i?"right":"bottom",position:1},o=i?"y":"x",s={type:"linear",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==["top","bottom"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+("top"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&"auto"===e.tickmode){it.tickmode="linear",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr("transform",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select("."+A.cbtitleunshift).attr("transform",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select("."+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select("."+A.cbtitle)},o="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+o+",."+o+"-math-group").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&("top"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),"bottom"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),"right"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+"title",{attributes:{x:t,y:e,"text-anchor":o?"start":"middle"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select("."+A.cbtitle),f=l.select("text"),h=[-M/2,M/2],d=l.select(".h"+it._id+"title-math-group").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,"top"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr("transform",u(h[0],h[1])),it.setScale()}}else gt&&("right"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr("transform",u(h[0],h[1])),it.setScale())}t.selectAll("."+A.cbfills+",."+A.cblines).attr("transform",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr("transform",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select("."+A.cbfills).selectAll("rect."+A.cbfill).attr("style","").data(Y);y.enter().append("rect").classed(A.cbfill,!0).style("stroke","none"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?"x":"y",Q).attr(o?"y":"x",n.min(s)).attr(o?"width":"height",Math.max(X,2)).attr(o?"height":"width",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?"vertical":"horizontalreversed",e._fillgradient,"fill");else{var u=H(t).replace("e-","");l.attr("fill",i(u).toHexString())}}));var b=t.select("."+A.cblines).selectAll("path."+A.cbline).data(B.color&&B.width?W:[]);b.enter().append("path").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr("d","M"+(o?e+","+r:r+","+e)+(o?"h":"v")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll("g."+it._id+"tick,path").remove();var _=Q+X+(M||0)/2-("outside"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:"inside"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if("right"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,"bottom"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf("inside")?it.tickfont.size:0)+("intside"!==it.ticks&&e.ticklen||0)),"top"===j){var l=N.text.split("<br>").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?"h":"v")+it._id+"title",{avoid:{selection:n.select(r).selectAll("g."+it._id+"tick"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,"text-anchor":"middle"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf("inside")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select("text");var c=0,f=o&&"top"===j,m=!o&&"right"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(".h"+it._id+"title-math-group").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||"top"!==j||(s+=n.height,g=n.height)),m&&(ut.attr("transform",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&"bottom"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select("."+A.cbbg).attr("x",(o?Q:nt)-F/2-(o?P:0)).attr("y",(o?nt:Q)-(o?J:I+g-w)).attr(o?"width":"height",Math.max(b-w,2)).attr(o?"height":"width",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style("stroke-width",S);var B=m?Math.max(c-10,0):0;if(t.selectAll("."+A.cboutline).attr("x",(o?Q:nt+P)+B).attr("y",(o?nt+I-J:Q)+(f?mt:0)).attr(o?"width":"height",Math.max(X,2)).attr(o?"height":"width",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:"none","stroke-width":M}),t.attr("transform",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll("text"),V=U[0].length,H=t.select("."+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute("transform","translate("+n+",0) "+this.getAttribute("transform")):this.setAttribute("visibility","hidden"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?("pixels"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),"pixels"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):("pixels"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),"pixels"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s="v"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr("transform"),h(t)},moveFn:function(r,o){t.attr("transform",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+"x"]=i,n[e._propPrefix+"y"]=a,void 0!==e._traceIndex?o.call("_guiRestyle",r,n,e._traceIndex):o.call("_guiRelayout",r,n)}}})}(r,e,t)})),e.exit().each((function(e){a.autoMargin(t,e._id)})).remove(),e.order()}}},{"../../constants/alignment":466,"../../lib":498,"../../lib/extend":488,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_defaults":551,"../../plots/cartesian/layout_attributes":564,"../../plots/cartesian/position_defaults":567,"../../plots/plots":614,"../../registry":633,"../color":361,"../colorscale/helpers":372,"../dragelement":380,"../drawing":383,"../titles":459,"./constants":363,"@plotly/d3":58,tinycolor2:307}],366:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t){return n.isPlainObject(t.colorbar)}},{"../../lib":498}],367:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"colorbar",attributes:t("./attributes"),supplyDefaults:t("./defaults"),draw:t("./draw").draw,hasColorbar:t("./has_colorbar")}},{"./attributes":362,"./defaults":364,"./draw":365,"./has_colorbar":366}],368:[function(t,e,r){"use strict";var n=t("../colorbar/attributes"),i=t("../../lib/regex").counter,a=t("../../lib/sort_object_keys"),o=t("./scales.js").scales;a(o);function s(t){return"`"+t+"`"}e.exports=function(t,e){t=t||"";var r,a=(e=e||{}).cLetter||"c",l=("onlyIfNumerical"in e?e.onlyIfNumerical:Boolean(t),"noScale"in e?e.noScale:"marker.line"===t),c="showScaleDflt"in e?e.showScaleDflt:"z"===a,u="string"==typeof e.colorscaleDflt?o[e.colorscaleDflt]:null,f=e.editTypeOverride||"",h=t?t+".":"";"colorAttr"in e?(r=e.colorAttr,e.colorAttr):s(h+(r={z:"z",c:"color"}[a]));var p=a+"auto",d=a+"min",m=a+"max",g=a+"mid",v=(s(h+p),s(h+d),s(h+m),{});v[d]=v[m]=void 0;var y={};y[p]=!1;var x={};return"color"===r&&(x.color={valType:"color",arrayOk:!0,editType:f||"style"},e.anim&&(x.color.anim=!0)),x[p]={valType:"boolean",dflt:!0,editType:"calc",impliedEdits:v},x[d]={valType:"number",dflt:null,editType:f||"plot",impliedEdits:y},x[m]={valType:"number",dflt:null,editType:f||"plot",impliedEdits:y},x[g]={valType:"number",dflt:null,editType:"calc",impliedEdits:v},x.colorscale={valType:"colorscale",editType:"calc",dflt:u,impliedEdits:{autocolorscale:!1}},x.autocolorscale={valType:"boolean",dflt:!1!==e.autoColorDflt,editType:"calc",impliedEdits:{colorscale:void 0}},x.reversescale={valType:"boolean",dflt:!1,editType:"plot"},l||(x.showscale={valType:"boolean",dflt:c,editType:"calc"},x.colorbar=n),e.noColorAxis||(x.coloraxis={valType:"subplotid",regex:i("coloraxis"),dflt:null,editType:"calc"}),x}},{"../../lib/regex":515,"../../lib/sort_object_keys":521,"../colorbar/attributes":362,"./scales.js":376}],369:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./helpers").extractOpts;e.exports=function(t,e,r){var o,s=t._fullLayout,l=r.vals,c=r.containerStr,u=c?i.nestedProperty(e,c).get():e,f=a(u),h=!1!==f.auto,p=f.min,d=f.max,m=f.mid,g=function(){return i.aggNums(Math.min,null,l)},v=function(){return i.aggNums(Math.max,null,l)};(void 0===p?p=g():h&&(p=u._colorAx&&n(p)?Math.min(p,g()):g()),void 0===d?d=v():h&&(d=u._colorAx&&n(d)?Math.max(d,v()):v()),h&&void 0!==m&&(d-m>m-p?p=m-(d-m):d-m<m-p&&(d=m+(m-p))),p===d&&(p-=.5,d+=.5),f._sync("min",p),f._sync("max",d),f.autocolorscale)&&(o=p*d<0?s.colorscale.diverging:p>=0?s.colorscale.sequential:s.colorscale.sequentialminus,f._sync("colorscale",o))}},{"../../lib":498,"./helpers":372,"fast-isnumeric":185}],370:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./helpers").hasColorscale,a=t("./helpers").extractOpts;e.exports=function(t,e){function r(t,e){var r=t["_"+e];void 0!==r&&(t[e]=r)}function o(t,i){var o=i.container?n.nestedProperty(t,i.container).get():t;if(o)if(o.coloraxis)o._colorAx=e[o.coloraxis];else{var s=a(o),l=s.auto;(l||void 0===s.min)&&r(o,i.min),(l||void 0===s.max)&&r(o,i.max),s.autocolorscale&&r(o,"colorscale")}}for(var s=0;s<t.length;s++){var l=t[s],c=l._module.colorbar;if(c)if(Array.isArray(c))for(var u=0;u<c.length;u++)o(l,c[u]);else o(l,c);i(l,"marker.line")&&o(l,{container:"marker.line",min:"cmin",max:"cmax"})}for(var f in e._colorAxes)o(e[f],{min:"cmin",max:"cmax"})}},{"../../lib":498,"./helpers":372}],371:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../colorbar/has_colorbar"),o=t("../colorbar/defaults"),s=t("./scales").isValid,l=t("../../registry").traceIs;function c(t,e){var r=e.slice(0,e.length-1);return e?i.nestedProperty(t,r).get()||{}:t}e.exports=function t(e,r,u,f,h){var p=h.prefix,d=h.cLetter,m="_module"in r,g=c(e,p),v=c(r,p),y=c(r._template||{},p)||{},x=function(){return delete e.coloraxis,delete r.coloraxis,t(e,r,u,f,h)};if(m){var b=u._colorAxes||{},_=f(p+"coloraxis");if(_){var w=l(r,"contour")&&i.nestedProperty(r,"contours.coloring").get()||"heatmap",T=b[_];return void(T?(T[2].push(x),T[0]!==w&&(T[0]=!1,i.warn(["Ignoring coloraxis:",_,"setting","as it is linked to incompatible colorscales."].join(" ")))):b[_]=[w,r,[x]])}}var k=g[d+"min"],A=g[d+"max"],M=n(k)&&n(A)&&k<A;f(p+d+"auto",!M)?f(p+d+"mid"):(f(p+d+"min"),f(p+d+"max"));var S,E,L=g.colorscale,C=y.colorscale;(void 0!==L&&(S=!s(L)),void 0!==C&&(S=!s(C)),f(p+"autocolorscale",S),f(p+"colorscale"),f(p+"reversescale"),"marker.line."!==p)&&(p&&m&&(E=a(g)),f(p+"showscale",E)&&(p&&y&&(v._template=y),o(g,v,u)))}},{"../../lib":498,"../../registry":633,"../colorbar/defaults":364,"../colorbar/has_colorbar":366,"./scales":376,"fast-isnumeric":185}],372:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("tinycolor2"),a=t("fast-isnumeric"),o=t("../../lib"),s=t("../color"),l=t("./scales").isValid;var c=["showscale","autocolorscale","colorscale","reversescale","colorbar"],u=["min","max","mid","auto"];function f(t){var e,r,n,i=t._colorAx,a=i||t,o={};for(r=0;r<c.length;r++)o[n=c[r]]=a[n];if(i)for(e="c",r=0;r<u.length;r++)o[n=u[r]]=a["c"+n];else{var s;for(r=0;r<u.length;r++)((s="c"+(n=u[r]))in a||(s="z"+n)in a)&&(o[n]=a[s]);e=s.charAt(0)}return o._sync=function(t,r){var n=-1!==u.indexOf(t)?e+t:t;a[n]=a["_"+n]=r},o}function h(t){for(var e=f(t),r=e.min,n=e.max,i=e.reversescale?p(e.colorscale):e.colorscale,a=i.length,o=new Array(a),s=new Array(a),l=0;l<a;l++){var c=i[l];o[l]=r+c[0]*(n-r),s[l]=c[1]}return{domain:o,range:s}}function p(t){for(var e=t.length,r=new Array(e),n=e-1,i=0;n>=0;n--,i++){var a=t[n];r[i]=[1-a[0],a[1]]}return r}function d(t,e){e=e||{};for(var r=t.domain,o=t.range,l=o.length,c=new Array(l),u=0;u<l;u++){var f=i(o[u]).toRgb();c[u]=[f.r,f.g,f.b,f.a]}var h,p=n.scale.linear().domain(r).range(c).clamp(!0),d=e.noNumericCheck,g=e.returnArray;return(h=d&&g?p:d?function(t){return m(p(t))}:g?function(t){return a(t)?p(t):i(t).isValid()?t:s.defaultLine}:function(t){return a(t)?m(p(t)):i(t).isValid()?t:s.defaultLine}).domain=p.domain,h.range=function(){return o},h}function m(t){var e={r:t[0],g:t[1],b:t[2],a:t[3]};return i(e).toRgbString()}e.exports={hasColorscale:function(t,e,r){var n=e?o.nestedProperty(t,e).get()||{}:t,i=n[r||"color"],s=!1;if(o.isArrayOrTypedArray(i))for(var c=0;c<i.length;c++)if(a(i[c])){s=!0;break}return o.isPlainObject(n)&&(s||!0===n.showscale||a(n.cmin)&&a(n.cmax)||l(n.colorscale)||o.isPlainObject(n.colorbar))},extractOpts:f,extractScale:h,flipScale:p,makeColorScaleFunc:d,makeColorScaleFuncFromTrace:function(t,e){return d(h(t),e)}}},{"../../lib":498,"../color":361,"./scales":376,"@plotly/d3":58,"fast-isnumeric":185,tinycolor2:307}],373:[function(t,e,r){"use strict";var n=t("./scales"),i=t("./helpers");e.exports={moduleType:"component",name:"colorscale",attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),handleDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),calc:t("./calc"),scales:n.scales,defaultScale:n.defaultScale,getScale:n.get,isValidScale:n.isValid,hasColorscale:i.hasColorscale,extractOpts:i.extractOpts,extractScale:i.extractScale,flipScale:i.flipScale,makeColorScaleFunc:i.makeColorScaleFunc,makeColorScaleFuncFromTrace:i.makeColorScaleFuncFromTrace}},{"./attributes":368,"./calc":369,"./cross_trace_defaults":370,"./defaults":371,"./helpers":372,"./layout_attributes":374,"./layout_defaults":375,"./scales":376}],374:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("./attributes"),a=t("./scales").scales;e.exports={editType:"calc",colorscale:{editType:"calc",sequential:{valType:"colorscale",dflt:a.Reds,editType:"calc"},sequentialminus:{valType:"colorscale",dflt:a.Blues,editType:"calc"},diverging:{valType:"colorscale",dflt:a.RdBu,editType:"calc"}},coloraxis:n({_isSubplotObj:!0,editType:"calc"},i("",{colorAttr:"corresponding trace color array(s)",noColorAxis:!0,showScaleDflt:!0}))}},{"../../lib/extend":488,"./attributes":368,"./scales":376}],375:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/plot_template"),a=t("./layout_attributes"),o=t("./defaults");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r("colorscale.sequential"),r("colorscale.sequentialminus"),r("colorscale.diverging");var s,l,c=e._colorAxes;function u(t,e){return n.coerce(s,l,a.coloraxis,t,e)}for(var f in c){var h=c[f];if(h[0])s=t[f]||{},(l=i.newContainer(e,f,"coloraxis"))._name=f,o(s,l,e,u,{prefix:"",cLetter:"c"});else{for(var p=0;p<h[2].length;p++)h[2][p]();delete e._colorAxes[f]}}}},{"../../lib":498,"../../plot_api/plot_template":538,"./defaults":371,"./layout_attributes":374}],376:[function(t,e,r){"use strict";var n=t("tinycolor2"),i={Greys:[[0,"rgb(0,0,0)"],[1,"rgb(255,255,255)"]],YlGnBu:[[0,"rgb(8,29,88)"],[.125,"rgb(37,52,148)"],[.25,"rgb(34,94,168)"],[.375,"rgb(29,145,192)"],[.5,"rgb(65,182,196)"],[.625,"rgb(127,205,187)"],[.75,"rgb(199,233,180)"],[.875,"rgb(237,248,217)"],[1,"rgb(255,255,217)"]],Greens:[[0,"rgb(0,68,27)"],[.125,"rgb(0,109,44)"],[.25,"rgb(35,139,69)"],[.375,"rgb(65,171,93)"],[.5,"rgb(116,196,118)"],[.625,"rgb(161,217,155)"],[.75,"rgb(199,233,192)"],[.875,"rgb(229,245,224)"],[1,"rgb(247,252,245)"]],YlOrRd:[[0,"rgb(128,0,38)"],[.125,"rgb(189,0,38)"],[.25,"rgb(227,26,28)"],[.375,"rgb(252,78,42)"],[.5,"rgb(253,141,60)"],[.625,"rgb(254,178,76)"],[.75,"rgb(254,217,118)"],[.875,"rgb(255,237,160)"],[1,"rgb(255,255,204)"]],Bluered:[[0,"rgb(0,0,255)"],[1,"rgb(255,0,0)"]],RdBu:[[0,"rgb(5,10,172)"],[.35,"rgb(106,137,247)"],[.5,"rgb(190,190,190)"],[.6,"rgb(220,170,132)"],[.7,"rgb(230,145,90)"],[1,"rgb(178,10,28)"]],Reds:[[0,"rgb(220,220,220)"],[.2,"rgb(245,195,157)"],[.4,"rgb(245,160,105)"],[1,"rgb(178,10,28)"]],Blues:[[0,"rgb(5,10,172)"],[.35,"rgb(40,60,190)"],[.5,"rgb(70,100,245)"],[.6,"rgb(90,120,245)"],[.7,"rgb(106,137,247)"],[1,"rgb(220,220,220)"]],Picnic:[[0,"rgb(0,0,255)"],[.1,"rgb(51,153,255)"],[.2,"rgb(102,204,255)"],[.3,"rgb(153,204,255)"],[.4,"rgb(204,204,255)"],[.5,"rgb(255,255,255)"],[.6,"rgb(255,204,255)"],[.7,"rgb(255,153,255)"],[.8,"rgb(255,102,204)"],[.9,"rgb(255,102,102)"],[1,"rgb(255,0,0)"]],Rainbow:[[0,"rgb(150,0,90)"],[.125,"rgb(0,0,200)"],[.25,"rgb(0,25,255)"],[.375,"rgb(0,152,255)"],[.5,"rgb(44,255,150)"],[.625,"rgb(151,255,0)"],[.75,"rgb(255,234,0)"],[.875,"rgb(255,111,0)"],[1,"rgb(255,0,0)"]],Portland:[[0,"rgb(12,51,131)"],[.25,"rgb(10,136,186)"],[.5,"rgb(242,211,56)"],[.75,"rgb(242,143,56)"],[1,"rgb(217,30,30)"]],Jet:[[0,"rgb(0,0,131)"],[.125,"rgb(0,60,170)"],[.375,"rgb(5,255,255)"],[.625,"rgb(255,255,0)"],[.875,"rgb(250,0,0)"],[1,"rgb(128,0,0)"]],Hot:[[0,"rgb(0,0,0)"],[.3,"rgb(230,0,0)"],[.6,"rgb(255,210,0)"],[1,"rgb(255,255,255)"]],Blackbody:[[0,"rgb(0,0,0)"],[.2,"rgb(230,0,0)"],[.4,"rgb(230,210,0)"],[.7,"rgb(255,255,255)"],[1,"rgb(160,200,255)"]],Earth:[[0,"rgb(0,0,130)"],[.1,"rgb(0,180,180)"],[.2,"rgb(40,210,40)"],[.4,"rgb(230,230,50)"],[.6,"rgb(120,70,20)"],[1,"rgb(255,255,255)"]],Electric:[[0,"rgb(0,0,0)"],[.15,"rgb(30,0,100)"],[.4,"rgb(120,0,100)"],[.6,"rgb(160,90,0)"],[.8,"rgb(230,200,0)"],[1,"rgb(255,250,220)"]],Viridis:[[0,"#440154"],[.06274509803921569,"#48186a"],[.12549019607843137,"#472d7b"],[.18823529411764706,"#424086"],[.25098039215686274,"#3b528b"],[.3137254901960784,"#33638d"],[.3764705882352941,"#2c728e"],[.4392156862745098,"#26828e"],[.5019607843137255,"#21918c"],[.5647058823529412,"#1fa088"],[.6274509803921569,"#28ae80"],[.6901960784313725,"#3fbc73"],[.7529411764705882,"#5ec962"],[.8156862745098039,"#84d44b"],[.8784313725490196,"#addc30"],[.9411764705882353,"#d8e219"],[1,"#fde725"]],Cividis:[[0,"rgb(0,32,76)"],[.058824,"rgb(0,42,102)"],[.117647,"rgb(0,52,110)"],[.176471,"rgb(39,63,108)"],[.235294,"rgb(60,74,107)"],[.294118,"rgb(76,85,107)"],[.352941,"rgb(91,95,109)"],[.411765,"rgb(104,106,112)"],[.470588,"rgb(117,117,117)"],[.529412,"rgb(131,129,120)"],[.588235,"rgb(146,140,120)"],[.647059,"rgb(161,152,118)"],[.705882,"rgb(176,165,114)"],[.764706,"rgb(192,177,109)"],[.823529,"rgb(209,191,102)"],[.882353,"rgb(225,204,92)"],[.941176,"rgb(243,219,79)"],[1,"rgb(255,233,69)"]]},a=i.RdBu;function o(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var i=t[r];if(2!==i.length||+i[0]<e||!n(i[1]).isValid())return!1;e=+i[0]}return!0}e.exports={scales:i,defaultScale:a,get:function(t,e){if(e||(e=a),!t)return e;function r(){try{t=i[t]||JSON.parse(t)}catch(r){t=e}}return"string"==typeof t&&(r(),"string"==typeof t&&r()),o(t)?t:e},isValid:function(t){return void 0!==i[t]||o(t)}}},{tinycolor2:307}],377:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=(t-r)/(n-r),o=a+e/(n-r),s=(a+o)/2;return"left"===i||"bottom"===i?a:"center"===i||"middle"===i?s:"right"===i||"top"===i?o:a<2/3-s?a:o>4/3-s?o:s}},{}],378:[function(t,e,r){"use strict";var n=t("../../lib"),i=[["sw-resize","s-resize","se-resize"],["w-resize","move","e-resize"],["nw-resize","n-resize","ne-resize"]];e.exports=function(t,e,r,a){return t="left"===r?0:"center"===r?1:"right"===r?2:n.constrain(Math.floor(3*t),0,2),e="bottom"===a?0:"middle"===a?1:"top"===a?2:n.constrain(Math.floor(3*e),0,2),i[e][t]}},{"../../lib":498}],379:[function(t,e,r){"use strict";r.selectMode=function(t){return"lasso"===t||"select"===t},r.drawMode=function(t){return"drawclosedpath"===t||"drawopenpath"===t||"drawline"===t||"drawrect"===t||"drawcircle"===t},r.openMode=function(t){return"drawline"===t||"drawopenpath"===t},r.rectMode=function(t){return"select"===t||"drawline"===t||"drawrect"===t||"drawcircle"===t},r.freeMode=function(t){return"lasso"===t||"drawclosedpath"===t||"drawopenpath"===t},r.selectingOrDrawing=function(t){return r.freeMode(t)||r.rectMode(t)}},{}],380:[function(t,e,r){"use strict";var n=t("mouse-event-offset"),i=t("has-hover"),a=t("has-passive-events"),o=t("../../lib").removeElement,s=t("../../plots/cartesian/constants"),l=e.exports={};l.align=t("./align"),l.getCursor=t("./cursor");var c=t("./unhover");function u(){var t=document.createElement("div");t.className="dragcover";var e=t.style;return e.position="fixed",e.left=0,e.right=0,e.top=0,e.bottom=0,e.zIndex=999999999,e.background="none",document.body.appendChild(t),t}function f(t){return n(t.changedTouches?t.changedTouches[0]:t,document.body)}l.unhover=c.wrapped,l.unhoverRaw=c.raw,l.init=function(t){var e,r,n,c,h,p,d,m,g=t.gd,v=1,y=g._context.doubleClickDelay,x=t.element;g._mouseDownTime||(g._mouseDownTime=0),x.style.pointerEvents="all",x.onmousedown=_,a?(x._ontouchstart&&x.removeEventListener("touchstart",x._ontouchstart),x._ontouchstart=_,x.addEventListener("touchstart",_,{passive:!1})):x.ontouchstart=_;var b=t.clampFn||function(t,e,r){return Math.abs(t)<r&&(t=0),Math.abs(e)<r&&(e=0),[t,e]};function _(a){g._dragged=!1,g._dragging=!0;var o=f(a);e=o[0],r=o[1],d=a.target,p=a,m=2===a.buttons||a.ctrlKey,void 0===a.clientX&&void 0===a.clientY&&(a.clientX=e,a.clientY=r),(n=(new Date).getTime())-g._mouseDownTime<y?v+=1:(v=1,g._mouseDownTime=n),t.prepFn&&t.prepFn(a,e,r),i&&!m?(h=u()).style.cursor=window.getComputedStyle(x).cursor:i||(h=document,c=window.getComputedStyle(document.documentElement).cursor,document.documentElement.style.cursor=window.getComputedStyle(x).cursor),document.addEventListener("mouseup",T),document.addEventListener("touchend",T),!1!==t.dragmode&&(a.preventDefault(),document.addEventListener("mousemove",w),document.addEventListener("touchmove",w,{passive:!1}))}function w(n){n.preventDefault();var i=f(n),a=t.minDrag||s.MINDRAG,o=b(i[0]-e,i[1]-r,a),c=o[0],u=o[1];(c||u)&&(g._dragged=!0,l.unhover(g,n)),g._dragged&&t.moveFn&&!m&&(g._dragdata={element:x,dx:c,dy:u},t.moveFn(c,u))}function T(e){if(delete g._dragdata,!1!==t.dragmode&&(e.preventDefault(),document.removeEventListener("mousemove",w),document.removeEventListener("touchmove",w)),document.removeEventListener("mouseup",T),document.removeEventListener("touchend",T),i?o(h):c&&(h.documentElement.style.cursor=c,c=null),g._dragging){if(g._dragging=!1,(new Date).getTime()-g._mouseDownTime>y&&(v=Math.max(v-1,1)),g._dragged)t.doneFn&&t.doneFn();else if(t.clickFn&&t.clickFn(v,p),!m){var r;try{r=new MouseEvent("click",e)}catch(t){var n=f(e);(r=document.createEvent("MouseEvents")).initMouseEvent("click",e.bubbles,e.cancelable,e.view,e.detail,e.screenX,e.screenY,n[0],n[1],e.ctrlKey,e.altKey,e.shiftKey,e.metaKey,e.button,e.relatedTarget)}d.dispatchEvent(r)}g._dragging=!1,g._dragged=!1}else g._dragged=!1}},l.coverSlip=u},{"../../lib":498,"../../plots/cartesian/constants":556,"./align":377,"./cursor":378,"./unhover":381,"has-hover":223,"has-passive-events":224,"mouse-event-offset":237}],381:[function(t,e,r){"use strict";var n=t("../../lib/events"),i=t("../../lib/throttle"),a=t("../../lib/dom").getGraphDiv,o=t("../fx/constants"),s=e.exports={};s.wrapped=function(t,e,r){(t=a(t))._fullLayout&&i.clear(t._fullLayout._uid+o.HOVERID),s.raw(t,e,r)},s.raw=function(t,e){var r=t._fullLayout,i=t._hoverdata;e||(e={}),e.target&&!t._dragged&&!1===n.triggerHandler(t,"plotly_beforehover",e)||(r._hoverlayer.selectAll("g").remove(),r._hoverlayer.selectAll("line").remove(),r._hoverlayer.selectAll("circle").remove(),t._hoverdata=void 0,e.target&&i&&t.emit("plotly_unhover",{event:e,points:i}))}},{"../../lib/dom":486,"../../lib/events":487,"../../lib/throttle":525,"../fx/constants":395}],382:[function(t,e,r){"use strict";r.dash={valType:"string",values:["solid","dot","dash","longdash","dashdot","longdashdot"],dflt:"solid",editType:"style"},r.pattern={shape:{valType:"enumerated",values:["","/","\\","x","-","|","+","."],dflt:"",arrayOk:!0,editType:"style"},fillmode:{valType:"enumerated",values:["replace","overlay"],dflt:"replace",editType:"style"},bgcolor:{valType:"color",arrayOk:!0,editType:"style"},fgcolor:{valType:"color",arrayOk:!0,editType:"style"},fgopacity:{valType:"number",editType:"style",min:0,max:1},size:{valType:"number",min:0,dflt:8,arrayOk:!0,editType:"style"},solidity:{valType:"number",min:0,max:1,dflt:.3,arrayOk:!0,editType:"style"},editType:"style"}},{}],383:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("fast-isnumeric"),s=t("tinycolor2"),l=t("../../registry"),c=t("../color"),u=t("../colorscale"),f=i.strTranslate,h=t("../../lib/svg_text_utils"),p=t("../../constants/xmlns_namespaces"),d=t("../../constants/alignment").LINE_SPACING,m=t("../../constants/interactions").DESELECTDIM,g=t("../../traces/scatter/subtypes"),v=t("../../traces/scatter/make_bubble_size_func"),y=t("../../components/fx/helpers").appendArrayPointValue,x=e.exports={};function b(t,e,r){var n=e.fillpattern,i=n&&x.getPatternAttr(n.shape,0,"");if(i){var a=x.getPatternAttr(n.bgcolor,0,null),o=x.getPatternAttr(n.fgcolor,0,null),s=n.fgopacity,l=x.getPatternAttr(n.size,0,8),u=x.getPatternAttr(n.solidity,0,.3),f=e.uid;x.pattern(t,"point",r,f,i,l,u,void 0,n.fillmode,a,o,s)}else e.fillcolor&&t.call(c.fill,e.fillcolor)}x.font=function(t,e,r,n){i.isPlainObject(e)&&(n=e.color,r=e.size,e=e.family),e&&t.style("font-family",e),r+1&&t.style("font-size",r+"px"),n&&t.call(c.fill,n)},x.setPosition=function(t,e,r){t.attr("x",e).attr("y",r)},x.setSize=function(t,e,r){t.attr("width",e).attr("height",r)},x.setRect=function(t,e,r,n,i){t.call(x.setPosition,e,r).call(x.setSize,n,i)},x.translatePoint=function(t,e,r,n){var i=r.c2p(t.x),a=n.c2p(t.y);return!!(o(i)&&o(a)&&e.node())&&("text"===e.node().nodeName?e.attr("x",i).attr("y",a):e.attr("transform",f(i,a)),!0)},x.translatePoints=function(t,e,r){t.each((function(t){var i=n.select(this);x.translatePoint(t,i,e,r)}))},x.hideOutsideRangePoint=function(t,e,r,n,i,a){e.attr("display",r.isPtWithinRange(t,i)&&n.isPtWithinRange(t,a)?null:"none")},x.hideOutsideRangePoints=function(t,e){if(e._hasClipOnAxisFalse){var r=e.xaxis,i=e.yaxis;t.each((function(e){var a=e[0].trace,o=a.xcalendar,s=a.ycalendar,c=l.traceIs(a,"bar-like")?".bartext":".point,.textpoint";t.selectAll(c).each((function(t){x.hideOutsideRangePoint(t,n.select(this),r,i,o,s)}))}))}},x.crispRound=function(t,e,r){return e&&o(e)?t._context.staticPlot?e:e<1?1:Math.round(e):r||0},x.singleLineStyle=function(t,e,r,n,i){e.style("fill","none");var a=(((t||[])[0]||{}).trace||{}).line||{},o=r||a.width||0,s=i||a.dash||"";c.stroke(e,n||a.color),x.dashLine(e,s,o)},x.lineGroupStyle=function(t,e,r,i){t.style("fill","none").each((function(t){var a=(((t||[])[0]||{}).trace||{}).line||{},o=e||a.width||0,s=i||a.dash||"";n.select(this).call(c.stroke,r||a.color).call(x.dashLine,s,o)}))},x.dashLine=function(t,e,r){r=+r||0,e=x.dashStyle(e,r),t.style({"stroke-dasharray":e,"stroke-width":r+"px"})},x.dashStyle=function(t,e){e=+e||1;var r=Math.max(e,3);return"solid"===t?t="":"dot"===t?t=r+"px,"+r+"px":"dash"===t?t=3*r+"px,"+3*r+"px":"longdash"===t?t=5*r+"px,"+5*r+"px":"dashdot"===t?t=3*r+"px,"+r+"px,"+r+"px,"+r+"px":"longdashdot"===t&&(t=5*r+"px,"+2*r+"px,"+r+"px,"+2*r+"px"),t},x.singleFillStyle=function(t,e){var r=n.select(t.node());b(t,((r.data()[0]||[])[0]||{}).trace||{},e)},x.fillGroupStyle=function(t,e){t.style("stroke-width",0).each((function(t){var r=n.select(this);t[0].trace&&b(r,t[0].trace,e)}))};var _=t("./symbol_defs");x.symbolNames=[],x.symbolFuncs=[],x.symbolNeedLines={},x.symbolNoDot={},x.symbolNoFill={},x.symbolList=[],Object.keys(_).forEach((function(t){var e=_[t],r=e.n;x.symbolList.push(r,String(r),t,r+100,String(r+100),t+"-open"),x.symbolNames[r]=t,x.symbolFuncs[r]=e.f,e.needLine&&(x.symbolNeedLines[r]=!0),e.noDot?x.symbolNoDot[r]=!0:x.symbolList.push(r+200,String(r+200),t+"-dot",r+300,String(r+300),t+"-open-dot"),e.noFill&&(x.symbolNoFill[r]=!0)}));var w=x.symbolNames.length;function T(t,e){var r=t%100;return x.symbolFuncs[r](e)+(t>=200?"M0,0.5L0.5,0L0,-0.5L-0.5,0Z":"")}x.symbolNumber=function(t){if(o(t))t=+t;else if("string"==typeof t){var e=0;t.indexOf("-open")>0&&(e=100,t=t.replace("-open","")),t.indexOf("-dot")>0&&(e+=200,t=t.replace("-dot","")),(t=x.symbolNames.indexOf(t))>=0&&(t+=e)}return t%100>=w||t>=400?0:Math.floor(Math.max(t,0))};var k={x1:1,x2:0,y1:0,y2:0},A={x1:0,x2:0,y1:1,y2:0},M=a("~f"),S={radial:{node:"radialGradient"},radialreversed:{node:"radialGradient",reversed:!0},horizontal:{node:"linearGradient",attrs:k},horizontalreversed:{node:"linearGradient",attrs:k,reversed:!0},vertical:{node:"linearGradient",attrs:A},verticalreversed:{node:"linearGradient",attrs:A,reversed:!0}};x.gradient=function(t,e,r,a,o,l){for(var u=o.length,f=S[a],h=new Array(u),p=0;p<u;p++)f.reversed?h[u-1-p]=[M(100*(1-o[p][0])),o[p][1]]:h[p]=[M(100*o[p][0]),o[p][1]];var d=e._fullLayout,m="g"+d._uid+"-"+r,g=d._defs.select(".gradients").selectAll("#"+m).data([a+h.join(";")],i.identity);g.exit().remove(),g.enter().append(f.node).each((function(){var t=n.select(this);f.attrs&&t.attr(f.attrs),t.attr("id",m);var e=t.selectAll("stop").data(h);e.exit().remove(),e.enter().append("stop"),e.each((function(t){var e=s(t[1]);n.select(this).attr({offset:t[0]+"%","stop-color":c.tinyRGB(e),"stop-opacity":e.getAlpha()})}))})),t.style(l,R(m,e)).style(l+"-opacity",null),t.classed("gradient_filled",!0)},x.pattern=function(t,e,r,a,o,s,l,u,f,h,p,d){var m="legend"===e;u&&("overlay"===f?(h=u,p=c.contrast(h)):(h=void 0,p=u));var g,v,y,x,b,_,w,T,k,A,M,S=r._fullLayout,E="p"+S._uid+"-"+a,L={};switch(o){case"/":g=s*Math.sqrt(2),v=s*Math.sqrt(2),_="path",L={d:y="M-"+g/4+","+v/4+"l"+g/2+",-"+v/2+"M0,"+v+"L"+g+",0M"+g/4*3+","+v/4*5+"l"+g/2+",-"+v/2,opacity:d,stroke:p,"stroke-width":(x=l*s)+"px"};break;case"\\":g=s*Math.sqrt(2),v=s*Math.sqrt(2),_="path",L={d:y="M"+g/4*3+",-"+v/4+"l"+g/2+","+v/2+"M0,0L"+g+","+v+"M-"+g/4+","+v/4*3+"l"+g/2+","+v/2,opacity:d,stroke:p,"stroke-width":(x=l*s)+"px"};break;case"x":g=s*Math.sqrt(2),v=s*Math.sqrt(2),y="M-"+g/4+","+v/4+"l"+g/2+",-"+v/2+"M0,"+v+"L"+g+",0M"+g/4*3+","+v/4*5+"l"+g/2+",-"+v/2+"M"+g/4*3+",-"+v/4+"l"+g/2+","+v/2+"M0,0L"+g+","+v+"M-"+g/4+","+v/4*3+"l"+g/2+","+v/2,x=s-s*Math.sqrt(1-l),_="path",L={d:y,opacity:d,stroke:p,"stroke-width":x+"px"};break;case"|":_="path",_="path",L={d:y="M"+(g=s)/2+",0L"+g/2+","+(v=s),opacity:d,stroke:p,"stroke-width":(x=l*s)+"px"};break;case"-":_="path",_="path",L={d:y="M0,"+(v=s)/2+"L"+(g=s)+","+v/2,opacity:d,stroke:p,"stroke-width":(x=l*s)+"px"};break;case"+":_="path",y="M"+(g=s)/2+",0L"+g/2+","+(v=s)+"M0,"+v/2+"L"+g+","+v/2,x=s-s*Math.sqrt(1-l),_="path",L={d:y,opacity:d,stroke:p,"stroke-width":x+"px"};break;case".":g=s,v=s,l<Math.PI/4?b=Math.sqrt(l*s*s/Math.PI):(w=l,T=Math.PI/4,k=1,A=s/2,M=s/Math.sqrt(2),b=A+(M-A)*(w-T)/(k-T)),_="circle",L={cx:g/2,cy:v/2,r:b,opacity:d,fill:p}}var C=[o||"noSh",h||"noBg",p||"noFg",s,l].join(";"),P=S._defs.select(".patterns").selectAll("#"+E).data([C],i.identity);P.exit().remove(),P.enter().append("pattern").each((function(){var t=n.select(this);if(t.attr({id:E,width:g+"px",height:v+"px",patternUnits:"userSpaceOnUse",patternTransform:m?"scale(0.8)":""}),h){var e=t.selectAll("rect").data([0]);e.exit().remove(),e.enter().append("rect").attr({width:g+"px",height:v+"px",fill:h})}var r=t.selectAll(_).data([0]);r.exit().remove(),r.enter().append(_).attr(L)})),t.style("fill",R(E,r)).style("fill-opacity",null),t.classed("pattern_filled",!0)},x.initGradients=function(t){var e=t._fullLayout;i.ensureSingle(e._defs,"g","gradients").selectAll("linearGradient,radialGradient").remove(),n.select(t).selectAll(".gradient_filled").classed("gradient_filled",!1)},x.initPatterns=function(t){var e=t._fullLayout;i.ensureSingle(e._defs,"g","patterns").selectAll("pattern").remove(),n.select(t).selectAll(".pattern_filled").classed("pattern_filled",!1)},x.getPatternAttr=function(t,e,r){return t&&i.isArrayOrTypedArray(t)?e<t.length?t[e]:r:t},x.pointStyle=function(t,e,r){if(t.size()){var i=x.makePointStyleFns(e);t.each((function(t){x.singlePointStyle(t,n.select(this),e,i,r)}))}},x.singlePointStyle=function(t,e,r,n,a){var o=r.marker,s=o.line;if(e.style("opacity",n.selectedOpacityFn?n.selectedOpacityFn(t):void 0===t.mo?o.opacity:t.mo),n.ms2mrc){var l;l="various"===t.ms||"various"===o.size?3:n.ms2mrc(t.ms),t.mrc=l,n.selectedSizeFn&&(l=t.mrc=n.selectedSizeFn(t));var u=x.symbolNumber(t.mx||o.symbol)||0;t.om=u%200>=100,e.attr("d",T(u,l))}var f,h,p,d=!1;if(t.so)p=s.outlierwidth,h=s.outliercolor,f=o.outliercolor;else{var m=(s||{}).width;p=(t.mlw+1||m+1||(t.trace?(t.trace.marker.line||{}).width:0)+1)-1||0,h="mlc"in t?t.mlcc=n.lineScale(t.mlc):i.isArrayOrTypedArray(s.color)?c.defaultLine:s.color,i.isArrayOrTypedArray(o.color)&&(f=c.defaultLine,d=!0),f="mc"in t?t.mcc=n.markerScale(t.mc):o.color||"rgba(0,0,0,0)",n.selectedColorFn&&(f=n.selectedColorFn(t))}if(t.om)e.call(c.stroke,f).style({"stroke-width":(p||1)+"px",fill:"none"});else{e.style("stroke-width",(t.isBlank?0:p)+"px");var g=o.gradient,v=t.mgt;v?d=!0:v=g&&g.type,i.isArrayOrTypedArray(v)&&(v=v[0],S[v]||(v=0));var y=o.pattern,b=y&&x.getPatternAttr(y.shape,t.i,"");if(v&&"none"!==v){var _=t.mgc;_?d=!0:_=g.color;var w=r.uid;d&&(w+="-"+t.i),x.gradient(e,a,w,v,[[0,_],[1,f]],"fill")}else if(b){var k=x.getPatternAttr(y.bgcolor,t.i,null),A=x.getPatternAttr(y.fgcolor,t.i,null),M=y.fgopacity,E=x.getPatternAttr(y.size,t.i,8),L=x.getPatternAttr(y.solidity,t.i,.3),C=t.mcc||i.isArrayOrTypedArray(y.shape)||i.isArrayOrTypedArray(y.bgcolor)||i.isArrayOrTypedArray(y.size)||i.isArrayOrTypedArray(y.solidity),P=r.uid;C&&(P+="-"+t.i),x.pattern(e,"point",a,P,b,E,L,t.mcc,y.fillmode,k,A,M)}else c.fill(e,f);p&&c.stroke(e,h)}},x.makePointStyleFns=function(t){var e={},r=t.marker;return e.markerScale=x.tryColorscale(r,""),e.lineScale=x.tryColorscale(r,"line"),l.traceIs(t,"symbols")&&(e.ms2mrc=g.isBubble(t)?v(t):function(){return(r.size||6)/2}),t.selectedpoints&&i.extendFlat(e,x.makeSelectedPointStyleFns(t)),e},x.makeSelectedPointStyleFns=function(t){var e={},r=t.selected||{},n=t.unselected||{},a=t.marker||{},o=r.marker||{},s=n.marker||{},c=a.opacity,u=o.opacity,f=s.opacity,h=void 0!==u,p=void 0!==f;(i.isArrayOrTypedArray(c)||h||p)&&(e.selectedOpacityFn=function(t){var e=void 0===t.mo?a.opacity:t.mo;return t.selected?h?u:e:p?f:m*e});var d=a.color,g=o.color,v=s.color;(g||v)&&(e.selectedColorFn=function(t){var e=t.mcc||d;return t.selected?g||e:v||e});var y=a.size,x=o.size,b=s.size,_=void 0!==x,w=void 0!==b;return l.traceIs(t,"symbols")&&(_||w)&&(e.selectedSizeFn=function(t){var e=t.mrc||y/2;return t.selected?_?x/2:e:w?b/2:e}),e},x.makeSelectedTextStyleFns=function(t){var e={},r=t.selected||{},n=t.unselected||{},i=t.textfont||{},a=r.textfont||{},o=n.textfont||{},s=i.color,l=a.color,u=o.color;return e.selectedTextColorFn=function(t){var e=t.tc||s;return t.selected?l||e:u||(l?e:c.addOpacity(e,m))},e},x.selectedPointStyle=function(t,e){if(t.size()&&e.selectedpoints){var r=x.makeSelectedPointStyleFns(e),i=e.marker||{},a=[];r.selectedOpacityFn&&a.push((function(t,e){t.style("opacity",r.selectedOpacityFn(e))})),r.selectedColorFn&&a.push((function(t,e){c.fill(t,r.selectedColorFn(e))})),r.selectedSizeFn&&a.push((function(t,e){var n=e.mx||i.symbol||0,a=r.selectedSizeFn(e);t.attr("d",T(x.symbolNumber(n),a)),e.mrc2=a})),a.length&&t.each((function(t){for(var e=n.select(this),r=0;r<a.length;r++)a[r](e,t)}))}},x.tryColorscale=function(t,e){var r=e?i.nestedProperty(t,e).get():t;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&i.isArrayOrTypedArray(n))return u.makeColorScaleFuncFromTrace(r)}return i.identity};var E={start:1,end:-1,middle:0,bottom:1,top:-1};function L(t,e,r,i,a){var o=n.select(t.node().parentNode),s=-1!==e.indexOf("top")?"top":-1!==e.indexOf("bottom")?"bottom":"middle",l=-1!==e.indexOf("left")?"end":-1!==e.indexOf("right")?"start":"middle",c=i?i/.8+1:0,u=(h.lineCount(t)-1)*d+1,p=E[l]*c,m=.75*r+E[s]*c+(E[s]-1)*u*r/2;t.attr("text-anchor",l),a||o.attr("transform",f(p,m))}function C(t,e){var r=t.ts||e.textfont.size;return o(r)&&r>0?r:0}x.textPointStyle=function(t,e,r){if(t.size()){var a;if(e.selectedpoints){var o=x.makeSelectedTextStyleFns(e);a=o.selectedTextColorFn}var s=e.texttemplate,l=r._fullLayout;t.each((function(t){var o=n.select(this),c=s?i.extractOption(t,e,"txt","texttemplate"):i.extractOption(t,e,"tx","text");if(c||0===c){if(s){var u=e._module.formatLabels,f=u?u(t,e,l):{},p={};y(p,e,t.i);var d=e._meta||{};c=i.texttemplateString(c,f,l._d3locale,p,t,d)}var m=t.tp||e.textposition,g=C(t,e),v=a?a(t):t.tc||e.textfont.color;o.call(x.font,t.tf||e.textfont.family,g,v).text(c).call(h.convertToTspans,r).call(L,m,g,t.mrc)}else o.remove()}))}},x.selectedTextStyle=function(t,e){if(t.size()&&e.selectedpoints){var r=x.makeSelectedTextStyleFns(e);t.each((function(t){var i=n.select(this),a=r.selectedTextColorFn(t),o=t.tp||e.textposition,s=C(t,e);c.fill(i,a);var u=l.traceIs(e,"bar-like");L(i,o,s,t.mrc2||t.mrc,u)}))}};function P(t,e,r,i){var a=t[0]-e[0],o=t[1]-e[1],s=r[0]-e[0],l=r[1]-e[1],c=Math.pow(a*a+o*o,.25),u=Math.pow(s*s+l*l,.25),f=(u*u*a-c*c*s)*i,h=(u*u*o-c*c*l)*i,p=3*u*(c+u),d=3*c*(c+u);return[[n.round(e[0]+(p&&f/p),2),n.round(e[1]+(p&&h/p),2)],[n.round(e[0]-(d&&f/d),2),n.round(e[1]-(d&&h/d),2)]]}x.smoothopen=function(t,e){if(t.length<3)return"M"+t.join("L");var r,n="M"+t[0],i=[];for(r=1;r<t.length-1;r++)i.push(P(t[r-1],t[r],t[r+1],e));for(n+="Q"+i[0][0]+" "+t[1],r=2;r<t.length-1;r++)n+="C"+i[r-2][1]+" "+i[r-1][0]+" "+t[r];return n+="Q"+i[t.length-3][1]+" "+t[t.length-1]},x.smoothclosed=function(t,e){if(t.length<3)return"M"+t.join("L")+"Z";var r,n="M"+t[0],i=t.length-1,a=[P(t[i],t[0],t[1],e)];for(r=1;r<i;r++)a.push(P(t[r-1],t[r],t[r+1],e));for(a.push(P(t[i-1],t[i],t[0],e)),r=1;r<=i;r++)n+="C"+a[r-1][1]+" "+a[r][0]+" "+t[r];return n+="C"+a[i][1]+" "+a[0][0]+" "+t[0]+"Z"};var I={hv:function(t,e){return"H"+n.round(e[0],2)+"V"+n.round(e[1],2)},vh:function(t,e){return"V"+n.round(e[1],2)+"H"+n.round(e[0],2)},hvh:function(t,e){return"H"+n.round((t[0]+e[0])/2,2)+"V"+n.round(e[1],2)+"H"+n.round(e[0],2)},vhv:function(t,e){return"V"+n.round((t[1]+e[1])/2,2)+"H"+n.round(e[0],2)+"V"+n.round(e[1],2)}},O=function(t,e){return"L"+n.round(e[0],2)+","+n.round(e[1],2)};x.steps=function(t){var e=I[t]||O;return function(t){for(var r="M"+n.round(t[0][0],2)+","+n.round(t[0][1],2),i=1;i<t.length;i++)r+=e(t[i-1],t[i]);return r}},x.makeTester=function(){var t=i.ensureSingleById(n.select("body"),"svg","js-plotly-tester",(function(t){t.attr(p.svgAttrs).style({position:"absolute",left:"-10000px",top:"-10000px",width:"9000px",height:"9000px","z-index":"1"})})),e=i.ensureSingle(t,"path","js-reference-point",(function(t){t.attr("d","M0,0H1V1H0Z").style({"stroke-width":0,fill:"black"})}));x.tester=t,x.testref=e},x.savedBBoxes={};var z=0;function D(t){var e=t.getAttribute("data-unformatted");if(null!==e)return e+t.getAttribute("data-math")+t.getAttribute("text-anchor")+t.getAttribute("style")}function R(t,e){if(!t)return null;var r=e._context,n=r._exportedPlot?"":r._baseUrl||"";return n?"url('"+n+"#"+t+"')":"url(#"+t+")"}x.bBox=function(t,e,r){var a,o,s;if(r||(r=D(t)),r){if(a=x.savedBBoxes[r])return i.extendFlat({},a)}else if(1===t.childNodes.length){var l=t.childNodes[0];if(r=D(l)){var c=+l.getAttribute("x")||0,u=+l.getAttribute("y")||0,f=l.getAttribute("transform");if(!f){var p=x.bBox(l,!1,r);return c&&(p.left+=c,p.right+=c),u&&(p.top+=u,p.bottom+=u),p}if(r+="~"+c+"~"+u+"~"+f,a=x.savedBBoxes[r])return i.extendFlat({},a)}}e?o=t:(s=x.tester.node(),o=t.cloneNode(!0),s.appendChild(o)),n.select(o).attr("transform",null).call(h.positionText,0,0);var d=o.getBoundingClientRect(),m=x.testref.node().getBoundingClientRect();e||s.removeChild(o);var g={height:d.height,width:d.width,left:d.left-m.left,top:d.top-m.top,right:d.right-m.left,bottom:d.bottom-m.top};return z>=1e4&&(x.savedBBoxes={},z=0),r&&(x.savedBBoxes[r]=g),z++,i.extendFlat({},g)},x.setClipUrl=function(t,e,r){t.attr("clip-path",R(e,r))},x.getTranslate=function(t){var e=(t[t.attr?"attr":"getAttribute"]("transform")||"").replace(/.*\btranslate\((-?\d*\.?\d*)[^-\d]*(-?\d*\.?\d*)[^\d].*/,(function(t,e,r){return[e,r].join(" ")})).split(" ");return{x:+e[0]||0,y:+e[1]||0}},x.setTranslate=function(t,e,r){var n=t.attr?"attr":"getAttribute",i=t.attr?"attr":"setAttribute",a=t[n]("transform")||"";return e=e||0,r=r||0,a=a.replace(/(\btranslate\(.*?\);?)/,"").trim(),a=(a+=f(e,r)).trim(),t[i]("transform",a),a},x.getScale=function(t){var e=(t[t.attr?"attr":"getAttribute"]("transform")||"").replace(/.*\bscale\((\d*\.?\d*)[^\d]*(\d*\.?\d*)[^\d].*/,(function(t,e,r){return[e,r].join(" ")})).split(" ");return{x:+e[0]||1,y:+e[1]||1}},x.setScale=function(t,e,r){var n=t.attr?"attr":"getAttribute",i=t.attr?"attr":"setAttribute",a=t[n]("transform")||"";return e=e||1,r=r||1,a=a.replace(/(\bscale\(.*?\);?)/,"").trim(),a=(a+="scale("+e+","+r+")").trim(),t[i]("transform",a),a};var F=/\s*sc.*/;x.setPointGroupScale=function(t,e,r){if(e=e||1,r=r||1,t){var n=1===e&&1===r?"":"scale("+e+","+r+")";t.each((function(){var t=(this.getAttribute("transform")||"").replace(F,"");t=(t+=n).trim(),this.setAttribute("transform",t)}))}};var B=/translate\([^)]*\)\s*$/;x.setTextPointsScale=function(t,e,r){t&&t.each((function(){var t,i=n.select(this),a=i.select("text");if(a.node()){var o=parseFloat(a.attr("x")||0),s=parseFloat(a.attr("y")||0),l=(i.attr("transform")||"").match(B);t=1===e&&1===r?[]:[f(o,s),"scale("+e+","+r+")",f(-o,-s)],l&&t.push(l),i.attr("transform",t.join(""))}}))}},{"../../components/fx/helpers":397,"../../constants/alignment":466,"../../constants/interactions":473,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../lib/svg_text_utils":524,"../../registry":633,"../../traces/scatter/make_bubble_size_func":939,"../../traces/scatter/subtypes":947,"../color":361,"../colorscale":373,"./symbol_defs":384,"@plotly/d3":58,"fast-isnumeric":185,tinycolor2:307}],384:[function(t,e,r){"use strict";var n=t("@plotly/d3");e.exports={circle:{n:0,f:function(t){var e=n.round(t,2);return"M"+e+",0A"+e+","+e+" 0 1,1 0,-"+e+"A"+e+","+e+" 0 0,1 "+e+",0Z"}},square:{n:1,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"H-"+e+"V-"+e+"H"+e+"Z"}},diamond:{n:2,f:function(t){var e=n.round(1.3*t,2);return"M"+e+",0L0,"+e+"L-"+e+",0L0,-"+e+"Z"}},cross:{n:3,f:function(t){var e=n.round(.4*t,2),r=n.round(1.2*t,2);return"M"+r+","+e+"H"+e+"V"+r+"H-"+e+"V"+e+"H-"+r+"V-"+e+"H-"+e+"V-"+r+"H"+e+"V-"+e+"H"+r+"Z"}},x:{n:4,f:function(t){var e=n.round(.8*t/Math.sqrt(2),2),r="l"+e+","+e,i="l"+e+",-"+e,a="l-"+e+",-"+e,o="l-"+e+","+e;return"M0,"+e+r+i+a+i+a+o+a+o+r+o+r+"Z"}},"triangle-up":{n:5,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M-"+e+","+n.round(t/2,2)+"H"+e+"L0,-"+n.round(t,2)+"Z"}},"triangle-down":{n:6,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M-"+e+",-"+n.round(t/2,2)+"H"+e+"L0,"+n.round(t,2)+"Z"}},"triangle-left":{n:7,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M"+n.round(t/2,2)+",-"+e+"V"+e+"L-"+n.round(t,2)+",0Z"}},"triangle-right":{n:8,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M-"+n.round(t/2,2)+",-"+e+"V"+e+"L"+n.round(t,2)+",0Z"}},"triangle-ne":{n:9,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M-"+r+",-"+e+"H"+e+"V"+r+"Z"}},"triangle-se":{n:10,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M"+e+",-"+r+"V"+e+"H-"+r+"Z"}},"triangle-sw":{n:11,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M"+r+","+e+"H-"+e+"V-"+r+"Z"}},"triangle-nw":{n:12,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M-"+e+","+r+"V-"+e+"H"+r+"Z"}},pentagon:{n:13,f:function(t){var e=n.round(.951*t,2),r=n.round(.588*t,2),i=n.round(-t,2),a=n.round(-.309*t,2);return"M"+e+","+a+"L"+r+","+n.round(.809*t,2)+"H-"+r+"L-"+e+","+a+"L0,"+i+"Z"}},hexagon:{n:14,f:function(t){var e=n.round(t,2),r=n.round(t/2,2),i=n.round(t*Math.sqrt(3)/2,2);return"M"+i+",-"+r+"V"+r+"L0,"+e+"L-"+i+","+r+"V-"+r+"L0,-"+e+"Z"}},hexagon2:{n:15,f:function(t){var e=n.round(t,2),r=n.round(t/2,2),i=n.round(t*Math.sqrt(3)/2,2);return"M-"+r+","+i+"H"+r+"L"+e+",0L"+r+",-"+i+"H-"+r+"L-"+e+",0Z"}},octagon:{n:16,f:function(t){var e=n.round(.924*t,2),r=n.round(.383*t,2);return"M-"+r+",-"+e+"H"+r+"L"+e+",-"+r+"V"+r+"L"+r+","+e+"H-"+r+"L-"+e+","+r+"V-"+r+"Z"}},star:{n:17,f:function(t){var e=1.4*t,r=n.round(.225*e,2),i=n.round(.951*e,2),a=n.round(.363*e,2),o=n.round(.588*e,2),s=n.round(-e,2),l=n.round(-.309*e,2),c=n.round(.118*e,2),u=n.round(.809*e,2);return"M"+r+","+l+"H"+i+"L"+a+","+c+"L"+o+","+u+"L0,"+n.round(.382*e,2)+"L-"+o+","+u+"L-"+a+","+c+"L-"+i+","+l+"H-"+r+"L0,"+s+"Z"}},hexagram:{n:18,f:function(t){var e=n.round(.66*t,2),r=n.round(.38*t,2),i=n.round(.76*t,2);return"M-"+i+",0l-"+r+",-"+e+"h"+i+"l"+r+",-"+e+"l"+r+","+e+"h"+i+"l-"+r+","+e+"l"+r+","+e+"h-"+i+"l-"+r+","+e+"l-"+r+",-"+e+"h-"+i+"Z"}},"star-triangle-up":{n:19,f:function(t){var e=n.round(t*Math.sqrt(3)*.8,2),r=n.round(.8*t,2),i=n.round(1.6*t,2),a=n.round(4*t,2),o="A "+a+","+a+" 0 0 1 ";return"M-"+e+","+r+o+e+","+r+o+"0,-"+i+o+"-"+e+","+r+"Z"}},"star-triangle-down":{n:20,f:function(t){var e=n.round(t*Math.sqrt(3)*.8,2),r=n.round(.8*t,2),i=n.round(1.6*t,2),a=n.round(4*t,2),o="A "+a+","+a+" 0 0 1 ";return"M"+e+",-"+r+o+"-"+e+",-"+r+o+"0,"+i+o+e+",-"+r+"Z"}},"star-square":{n:21,f:function(t){var e=n.round(1.1*t,2),r=n.round(2*t,2),i="A "+r+","+r+" 0 0 1 ";return"M-"+e+",-"+e+i+"-"+e+","+e+i+e+","+e+i+e+",-"+e+i+"-"+e+",-"+e+"Z"}},"star-diamond":{n:22,f:function(t){var e=n.round(1.4*t,2),r=n.round(1.9*t,2),i="A "+r+","+r+" 0 0 1 ";return"M-"+e+",0"+i+"0,"+e+i+e+",0"+i+"0,-"+e+i+"-"+e+",0Z"}},"diamond-tall":{n:23,f:function(t){var e=n.round(.7*t,2),r=n.round(1.4*t,2);return"M0,"+r+"L"+e+",0L0,-"+r+"L-"+e+",0Z"}},"diamond-wide":{n:24,f:function(t){var e=n.round(1.4*t,2),r=n.round(.7*t,2);return"M0,"+r+"L"+e+",0L0,-"+r+"L-"+e+",0Z"}},hourglass:{n:25,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"H-"+e+"L"+e+",-"+e+"H-"+e+"Z"},noDot:!0},bowtie:{n:26,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"V-"+e+"L-"+e+","+e+"V-"+e+"Z"},noDot:!0},"circle-cross":{n:27,f:function(t){var e=n.round(t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e+"M"+e+",0A"+e+","+e+" 0 1,1 0,-"+e+"A"+e+","+e+" 0 0,1 "+e+",0Z"},needLine:!0,noDot:!0},"circle-x":{n:28,f:function(t){var e=n.round(t,2),r=n.round(t/Math.sqrt(2),2);return"M"+r+","+r+"L-"+r+",-"+r+"M"+r+",-"+r+"L-"+r+","+r+"M"+e+",0A"+e+","+e+" 0 1,1 0,-"+e+"A"+e+","+e+" 0 0,1 "+e+",0Z"},needLine:!0,noDot:!0},"square-cross":{n:29,f:function(t){var e=n.round(t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e+"M"+e+","+e+"H-"+e+"V-"+e+"H"+e+"Z"},needLine:!0,noDot:!0},"square-x":{n:30,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"L-"+e+",-"+e+"M"+e+",-"+e+"L-"+e+","+e+"M"+e+","+e+"H-"+e+"V-"+e+"H"+e+"Z"},needLine:!0,noDot:!0},"diamond-cross":{n:31,f:function(t){var e=n.round(1.3*t,2);return"M"+e+",0L0,"+e+"L-"+e+",0L0,-"+e+"ZM0,-"+e+"V"+e+"M-"+e+",0H"+e},needLine:!0,noDot:!0},"diamond-x":{n:32,f:function(t){var e=n.round(1.3*t,2),r=n.round(.65*t,2);return"M"+e+",0L0,"+e+"L-"+e+",0L0,-"+e+"ZM-"+r+",-"+r+"L"+r+","+r+"M-"+r+","+r+"L"+r+",-"+r},needLine:!0,noDot:!0},"cross-thin":{n:33,f:function(t){var e=n.round(1.4*t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e},needLine:!0,noDot:!0,noFill:!0},"x-thin":{n:34,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"L-"+e+",-"+e+"M"+e+",-"+e+"L-"+e+","+e},needLine:!0,noDot:!0,noFill:!0},asterisk:{n:35,f:function(t){var e=n.round(1.2*t,2),r=n.round(.85*t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e+"M"+r+","+r+"L-"+r+",-"+r+"M"+r+",-"+r+"L-"+r+","+r},needLine:!0,noDot:!0,noFill:!0},hash:{n:36,f:function(t){var e=n.round(t/2,2),r=n.round(t,2);return"M"+e+","+r+"V-"+r+"m-"+r+",0V"+r+"M"+r+","+e+"H-"+r+"m0,-"+r+"H"+r},needLine:!0,noFill:!0},"y-up":{n:37,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M-"+e+","+i+"L0,0M"+e+","+i+"L0,0M0,-"+r+"L0,0"},needLine:!0,noDot:!0,noFill:!0},"y-down":{n:38,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M-"+e+",-"+i+"L0,0M"+e+",-"+i+"L0,0M0,"+r+"L0,0"},needLine:!0,noDot:!0,noFill:!0},"y-left":{n:39,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M"+i+","+e+"L0,0M"+i+",-"+e+"L0,0M-"+r+",0L0,0"},needLine:!0,noDot:!0,noFill:!0},"y-right":{n:40,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M-"+i+","+e+"L0,0M-"+i+",-"+e+"L0,0M"+r+",0L0,0"},needLine:!0,noDot:!0,noFill:!0},"line-ew":{n:41,f:function(t){var e=n.round(1.4*t,2);return"M"+e+",0H-"+e},needLine:!0,noDot:!0,noFill:!0},"line-ns":{n:42,f:function(t){var e=n.round(1.4*t,2);return"M0,"+e+"V-"+e},needLine:!0,noDot:!0,noFill:!0},"line-ne":{n:43,f:function(t){var e=n.round(t,2);return"M"+e+",-"+e+"L-"+e+","+e},needLine:!0,noDot:!0,noFill:!0},"line-nw":{n:44,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"L-"+e+",-"+e},needLine:!0,noDot:!0,noFill:!0},"arrow-up":{n:45,f:function(t){var e=n.round(t,2);return"M0,0L-"+e+","+n.round(2*t,2)+"H"+e+"Z"},noDot:!0},"arrow-down":{n:46,f:function(t){var e=n.round(t,2);return"M0,0L-"+e+",-"+n.round(2*t,2)+"H"+e+"Z"},noDot:!0},"arrow-left":{n:47,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,0L"+e+",-"+r+"V"+r+"Z"},noDot:!0},"arrow-right":{n:48,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,0L-"+e+",-"+r+"V"+r+"Z"},noDot:!0},"arrow-bar-up":{n:49,f:function(t){var e=n.round(t,2);return"M-"+e+",0H"+e+"M0,0L-"+e+","+n.round(2*t,2)+"H"+e+"Z"},needLine:!0,noDot:!0},"arrow-bar-down":{n:50,f:function(t){var e=n.round(t,2);return"M-"+e+",0H"+e+"M0,0L-"+e+",-"+n.round(2*t,2)+"H"+e+"Z"},needLine:!0,noDot:!0},"arrow-bar-left":{n:51,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,-"+r+"V"+r+"M0,0L"+e+",-"+r+"V"+r+"Z"},needLine:!0,noDot:!0},"arrow-bar-right":{n:52,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,-"+r+"V"+r+"M0,0L-"+e+",-"+r+"V"+r+"Z"},needLine:!0,noDot:!0}}},{"@plotly/d3":58}],385:[function(t,e,r){"use strict";e.exports={visible:{valType:"boolean",editType:"calc"},type:{valType:"enumerated",values:["percent","constant","sqrt","data"],editType:"calc"},symmetric:{valType:"boolean",editType:"calc"},array:{valType:"data_array",editType:"calc"},arrayminus:{valType:"data_array",editType:"calc"},value:{valType:"number",min:0,dflt:10,editType:"calc"},valueminus:{valType:"number",min:0,dflt:10,editType:"calc"},traceref:{valType:"integer",min:0,dflt:0,editType:"style"},tracerefminus:{valType:"integer",min:0,dflt:0,editType:"style"},copy_ystyle:{valType:"boolean",editType:"plot"},copy_zstyle:{valType:"boolean",editType:"style"},color:{valType:"color",editType:"style"},thickness:{valType:"number",min:0,dflt:2,editType:"style"},width:{valType:"number",min:0,editType:"plot"},editType:"calc",_deprecated:{opacity:{valType:"number",editType:"style"}}}},{}],386:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../registry"),a=t("../../plots/cartesian/axes"),o=t("../../lib"),s=t("./compute_error");function l(t,e,r,i){var l=e["error_"+i]||{},c=[];if(l.visible&&-1!==["linear","log"].indexOf(r.type)){for(var u=s(l),f=0;f<t.length;f++){var h=t[f],p=h.i;if(void 0===p)p=f;else if(null===p)continue;var d=h[i];if(n(r.c2l(d))){var m=u(d,p);if(n(m[0])&&n(m[1])){var g=h[i+"s"]=d-m[0],v=h[i+"h"]=d+m[1];c.push(g,v)}}}var y=r._id,x=e._extremes[y],b=a.findExtremes(r,c,o.extendFlat({tozero:x.opts.tozero},{padded:!0}));x.min=x.min.concat(b.min),x.max=x.max.concat(b.max)}}e.exports=function(t){for(var e=t.calcdata,r=0;r<e.length;r++){var n=e[r],o=n[0].trace;if(!0===o.visible&&i.traceIs(o,"errorBarsOK")){var s=a.getFromId(t,o.xaxis),c=a.getFromId(t,o.yaxis);l(n,o,s,"x"),l(n,o,c,"y")}}}},{"../../lib":498,"../../plots/cartesian/axes":549,"../../registry":633,"./compute_error":387,"fast-isnumeric":185}],387:[function(t,e,r){"use strict";function n(t,e){return"percent"===t?function(t){return Math.abs(t*e/100)}:"constant"===t?function(){return Math.abs(e)}:"sqrt"===t?function(t){return Math.sqrt(Math.abs(t))}:void 0}e.exports=function(t){var e=t.type,r=t.symmetric;if("data"===e){var i=t.array||[];if(r)return function(t,e){var r=+i[e];return[r,r]};var a=t.arrayminus||[];return function(t,e){var r=+i[e],n=+a[e];return isNaN(r)&&isNaN(n)?[NaN,NaN]:[n||0,r||0]}}var o=n(e,t.value),s=n(e,t.valueminus);return r||void 0===t.valueminus?function(t){var e=o(t);return[e,e]}:function(t){return[s(t),o(t)]}}},{}],388:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../registry"),a=t("../../lib"),o=t("../../plot_api/plot_template"),s=t("./attributes");e.exports=function(t,e,r,l){var c="error_"+l.axis,u=o.newContainer(e,c),f=t[c]||{};function h(t,e){return a.coerce(f,u,s,t,e)}if(!1!==h("visible",void 0!==f.array||void 0!==f.value||"sqrt"===f.type)){var p=h("type","array"in f?"data":"percent"),d=!0;"sqrt"!==p&&(d=h("symmetric",!(("data"===p?"arrayminus":"valueminus")in f))),"data"===p?(h("array"),h("traceref"),d||(h("arrayminus"),h("tracerefminus"))):"percent"!==p&&"constant"!==p||(h("value"),d||h("valueminus"));var m="copy_"+l.inherit+"style";if(l.inherit)(e["error_"+l.inherit]||{}).visible&&h(m,!(f.color||n(f.thickness)||n(f.width)));l.inherit&&u[m]||(h("color",r),h("thickness"),h("width",i.traceIs(e,"gl3d")?0:4))}}},{"../../lib":498,"../../plot_api/plot_template":538,"../../registry":633,"./attributes":385,"fast-isnumeric":185}],389:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/edit_types").overrideAll,a=t("./attributes"),o={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a)};delete o.error_x.copy_zstyle,delete o.error_y.copy_zstyle,delete o.error_y.copy_ystyle;var s={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a),error_z:n.extendFlat({},a)};delete s.error_x.copy_ystyle,delete s.error_y.copy_ystyle,delete s.error_z.copy_ystyle,delete s.error_z.copy_zstyle,e.exports={moduleType:"component",name:"errorbars",schema:{traces:{scatter:o,bar:o,histogram:o,scatter3d:i(s,"calc","nested"),scattergl:i(o,"calc","nested")}},supplyDefaults:t("./defaults"),calc:t("./calc"),makeComputeError:t("./compute_error"),plot:t("./plot"),style:t("./style"),hoverInfo:function(t,e,r){(e.error_y||{}).visible&&(r.yerr=t.yh-t.y,e.error_y.symmetric||(r.yerrneg=t.y-t.ys));(e.error_x||{}).visible&&(r.xerr=t.xh-t.x,e.error_x.symmetric||(r.xerrneg=t.x-t.xs))}}},{"../../lib":498,"../../plot_api/edit_types":531,"./attributes":385,"./calc":386,"./compute_error":387,"./defaults":388,"./plot":390,"./style":391}],390:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../drawing"),o=t("../../traces/scatter/subtypes");e.exports=function(t,e,r,s){var l=r.xaxis,c=r.yaxis,u=s&&s.duration>0;e.each((function(e){var f,h=e[0].trace,p=h.error_x||{},d=h.error_y||{};h.ids&&(f=function(t){return t.id});var m=o.hasMarkers(h)&&h.marker.maxdisplayed>0;d.visible||p.visible||(e=[]);var g=n.select(this).selectAll("g.errorbar").data(e,f);if(g.exit().remove(),e.length){p.visible||g.selectAll("path.xerror").remove(),d.visible||g.selectAll("path.yerror").remove(),g.style("opacity",1);var v=g.enter().append("g").classed("errorbar",!0);u&&v.style("opacity",0).transition().duration(s.duration).style("opacity",1),a.setClipUrl(g,r.layerClipId,t),g.each((function(t){var e=n.select(this),r=function(t,e,r){var n={x:e.c2p(t.x),y:r.c2p(t.y)};void 0!==t.yh&&(n.yh=r.c2p(t.yh),n.ys=r.c2p(t.ys),i(n.ys)||(n.noYS=!0,n.ys=r.c2p(t.ys,!0)));void 0!==t.xh&&(n.xh=e.c2p(t.xh),n.xs=e.c2p(t.xs),i(n.xs)||(n.noXS=!0,n.xs=e.c2p(t.xs,!0)));return n}(t,l,c);if(!m||t.vis){var a,o=e.select("path.yerror");if(d.visible&&i(r.x)&&i(r.yh)&&i(r.ys)){var f=d.width;a="M"+(r.x-f)+","+r.yh+"h"+2*f+"m-"+f+",0V"+r.ys,r.noYS||(a+="m-"+f+",0h"+2*f),!o.size()?o=e.append("path").style("vector-effect","non-scaling-stroke").classed("yerror",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr("d",a)}else o.remove();var h=e.select("path.xerror");if(p.visible&&i(r.y)&&i(r.xh)&&i(r.xs)){var g=(p.copy_ystyle?d:p).width;a="M"+r.xh+","+(r.y-g)+"v"+2*g+"m0,-"+g+"H"+r.xs,r.noXS||(a+="m0,-"+g+"v"+2*g),!h.size()?h=e.append("path").style("vector-effect","non-scaling-stroke").classed("xerror",!0):u&&(h=h.transition().duration(s.duration).ease(s.easing)),h.attr("d",a)}else h.remove()}}))}}))}},{"../../traces/scatter/subtypes":947,"../drawing":383,"@plotly/d3":58,"fast-isnumeric":185}],391:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color");e.exports=function(t){t.each((function(t){var e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll("path.yerror").style("stroke-width",r.thickness+"px").call(i.stroke,r.color),a.copy_ystyle&&(a=r),o.selectAll("path.xerror").style("stroke-width",a.thickness+"px").call(i.stroke,a.color)}))}},{"../color":361,"@plotly/d3":58}],392:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("./layout_attributes").hoverlabel,a=t("../../lib/extend").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:"none"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:"none"}}},{"../../lib/extend":488,"../../plots/font_attributes":580,"./layout_attributes":402}],393:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!i.traceIs(c,"pie-like")){var u=i.traceIs(c,"2dMap")?a:n.fillArray;u(c.hoverinfo,l,"hi",o(c)),c.hovertemplate&&u(c.hovertemplate,l,"ht"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,"hbg"),u(c.hoverlabel.bordercolor,l,"hbc"),u(c.hoverlabel.font.size,l,"hts"),u(c.hoverlabel.font.color,l,"htc"),u(c.hoverlabel.font.family,l,"htf"),u(c.hoverlabel.namelength,l,"hnl"),u(c.hoverlabel.align,l,"hta"))}}}},{"../../lib":498,"../../registry":633}],394:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./hover").hover;e.exports=function(t,e,r){var a=n.getComponentMethod("annotations","onClick")(t,t._hoverdata);function o(){t.emit("plotly_click",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{"../../registry":633,"./hover":398}],395:[function(t,e,r){"use strict";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:"Arial, sans-serif",HOVERMINTIME:50,HOVERID:"-hover"}},{}],396:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./hoverlabel_defaults");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},{"../../lib":498,"./attributes":392,"./hoverlabel_defaults":399}],397:[function(t,e,r){"use strict";var n=t("../../lib");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if("splom"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==e.indexOf(n[a]+i[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,i){return"closest"===t?i||r.quadrature(e,n):"x"===t.charAt(0)?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var i=e(t[n]);i<=r.distance&&(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return Math.sqrt(n*n+i*i)}},r.makeEventData=function(t,e,n){var i="index"in t?t.index:t.pointNumber,a={data:e._input,fullData:e,curveNumber:e.index,pointNumber:i};if(e._indexToPoints){var o=e._indexToPoints[i];1===o.length?a.pointIndex=o[0]:a.pointIndices=o}else a.pointIndex=i;return e._module.eventData?a=e._module.eventData(a,t,e,n,i):("xVal"in t?a.x=t.xVal:"x"in t&&(a.x=t.x),"yVal"in t?a.y=t.yVal:"y"in t&&(a.y=t.y),t.xa&&(a.xaxis=t.xa),t.ya&&(a.yaxis=t.ya),void 0!==t.zLabelVal&&(a.z=t.zLabelVal)),r.appendArrayPointValue(a,e,i),a},r.appendArrayPointValue=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},r.appendArrayMultiPointValues=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),f=new Array(r.length),h=0;h<r.length;h++)f[h]=o(u,r[h]);t[c]=f}}};var i={ids:"id",locations:"location",labels:"label",values:"value","marker.colors":"color",parents:"parent"};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={"x unified":!0,"y unified":!0};r.isUnifiedHover=function(t){return"string"==typeof t&&!!l[t]},r.isXYhover=function(t){return"string"==typeof t&&!!s[t]}},{"../../lib":498}],398:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("tinycolor2"),o=t("../../lib"),s=o.strTranslate,l=o.strRotate,c=t("../../lib/events"),u=t("../../lib/svg_text_utils"),f=t("../../lib/override_cursor"),h=t("../drawing"),p=t("../color"),d=t("../dragelement"),m=t("../../plots/cartesian/axes"),g=t("../../registry"),v=t("./helpers"),y=t("./constants"),x=t("../legend/defaults"),b=t("../legend/draw"),_=y.YANGLE,w=Math.PI*_/180,T=1/Math.sin(w),k=Math.cos(w),A=Math.sin(w),M=y.HOVERARROWSIZE,S=y.HOVERTEXTPAD,E={box:!0,ohlc:!0,violin:!0,candlestick:!0},L={scatter:!0,scattergl:!0,splom:!0};function C(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:"",t.ya?t.ya._id:""].join(",")}r.hover=function(t,e,r,a){t=o.getGraphDiv(t);var s=e.target;o.throttle(t._fullLayout._uid+y.HOVERID,y.HOVERMINTIME,(function(){!function(t,e,r,a,s){r||(r="xy");var l=Array.isArray(r)?r:[r],u=t._fullLayout,h=u._plots||[],m=h[r],y=u._has("cartesian");if(m){var x=m.overlays.map((function(t){return t.id}));l=l.concat(x)}for(var b=l.length,_=new Array(b),w=new Array(b),k=!1,A=0;A<b;A++){var M=l[A];if(h[M])k=!0,_[A]=h[M].xaxis,w[A]=h[M].yaxis;else{if(!u[M]||!u[M]._subplot)return void o.warn("Unrecognized subplot: "+M);var S=u[M]._subplot;_[A]=S.xaxis,w[A]=S.yaxis}}var P=e.hovermode||u.hovermode;P&&!k&&(P="closest");if(-1===["x","y","closest","x unified","y unified"].indexOf(P)||!t.calcdata||t.querySelector(".zoombox")||t._dragging)return d.unhoverRaw(t,e);var O=u.hoverdistance;-1===O&&(O=1/0);var B=u.spikedistance;-1===B&&(B=1/0);var V,H,q,G,Y,W,X,Z,J,K,Q,$,tt,et=[],rt=[],nt={hLinePoint:null,vLinePoint:null},it=!1;if(Array.isArray(e))for(P="array",q=0;q<e.length;q++)(Y=t.calcdata[e[q].curveNumber||0])&&(W=Y[0].trace,"skip"!==Y[0].trace.hoverinfo&&(rt.push(Y),"h"===W.orientation&&(it=!0)));else{for(G=0;G<t.calcdata.length;G++)Y=t.calcdata[G],"skip"!==(W=Y[0].trace).hoverinfo&&v.isTraceInSubplots(W,l)&&(rt.push(Y),"h"===W.orientation&&(it=!0));var at,ot;if(!s)at="xpx"in e?e.xpx:_[0]._length/2,ot="ypx"in e?e.ypx:w[0]._length/2;else{if(!1===c.triggerHandler(t,"plotly_beforehover",e))return;var st=s.getBoundingClientRect();at=e.clientX-st.left,ot=e.clientY-st.top,u._calcInverseTransform(t);var lt=o.apply3DTransform(u._invTransform)(at,ot);if(at=lt[0],ot=lt[1],at<0||at>_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V="xval"in e?v.flat(l,e.xval):v.p2c(_,at),H="yval"in e?v.flat(l,e.yval):v.p2c(w,ot),!i(V[0])||!i(H[0]))return o.warn("Fx.hover failed",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===["carpet","contourcarpet"].indexOf(W._module.name)){if("splom"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,"array"===J){var n=e[G];"pointNumber"in n?($.index=n.pointNumber,J="closest"):(J="","xval"in n&&(K=n.xval,J="x"),"yval"in n&&(Q=n.yval,J=J?"closest":"y"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log("Unrecognized trace type in hover:",W);if("closest"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,"closest",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,"bar-like")||g.traceIs(s.trace,"box-violin")?a.push(s):s.trace[r+"period"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=("x"===vt||"y"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&"splom"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N("x",wt,u),At=N("y",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt="y"===P&&(rt.length>1||et.length>1)||"closest"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i="x"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?"xa":"ya",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod("annotations","hasClickToShow")(t,It);f(n.select(s),Zt?"pointer":"")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit("plotly_unhover",{event:e,points:Pt});t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,"gl3d")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\s\S]*)<\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+"Label"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&("x"===a||"y"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split("+");if(-1===H.indexOf("all")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll("g.axistext").data(B?[0]:[]);if(q.enter().append("g").classed("axistext",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,"path","",(function(t){t.style({"stroke-width":"1px"})})),l=o.ensureSingle(t,"text","",(function(t){t.attr("data-notex",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr("transform","");var g,v,y=V(r,l.node());if("x"===a){var x="top"===E.side?"-":"";l.attr("text-anchor","middle").call(u.positionText,0,"top"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+("top"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr("d","M-"+(b-M)+",0L-"+(b-2*M)+","+x+M+"H"+(S+y.width/2)+"v"+x+(2*S+y.height)+"H-"+b+"V"+x+M+"Z")):g>i.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+y.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+(S+y.width/2)+"v"+x+(2*S+y.height)+"H-"+(S+y.width/2)+"V"+x+M+"H-"+M+"Z")}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+y.height/2)+"h"+P+(2*S+y.width)+"V-"+(S+y.height/2)+"H"+P+M+"V-"+M+"Z");var O,z=y.height/2,R=D-y.top-z,F="clip"+i._uid+"commonlabel"+L._id;if(g<y.width+2*S+M){O="M-"+(M+S)+"-"+z+"h-"+(y.width-S)+"V"+z+"h"+(y.width-S)+"Z";var B=y.width-g+S;u.positionText(l,B,R),"end"===_&&l.selectAll("tspan").each((function(){var t=n.select(this),e=h.tester.append("text").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr("x",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll("#"+F).data(O?[0]:[]);N.enter().append("clipPath").attr("id",F).append("path"),N.exit().remove(),N.select("path").attr("d",O),h.setClipUrl(l,O?F:null,r)}t.attr("transform",s(g,v))})),v.isUnifiedHover(a)){d.selectAll("g.hovertext").remove();var G=t.filter((function(t){return"none"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:"v"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if("none"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=""!==et?et+" : "+tt:tt;var rt=Q.cd[Q.index];rt&&(rt.mc&&(Q.mc=rt.mc),rt.mcc&&(Q.mc=rt.mcc),rt.mlc&&(Q.mlc=rt.mlc),rt.mlcc&&(Q.mlc=rt.mlcc),rt.mlw&&(Q.mlw=rt.mlw),rt.mrc&&(Q.mrc=rt.mrc),rt.dir&&(Q.dir=rt.dir)),Q._distinct=!0,J.entries.push([Q])}}J.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),J.layer=d,J._inHover=!0,J._groupTitleFont=Y.grouptitlefont,b(r,J);var nt,it,at,ot,st=d.select("g.legend"),lt=V(r,st.node()),ct=lt.width+2*S,ut=lt.height+2*S,ft=G[0],ht=(ft.x0+ft.x1)/2,pt=(ft.y0+ft.y1)/2,dt=!(g.traceIs(ft.trace,"bar-like")||g.traceIs(ft.trace,"box-violin"));"y"===P?dt?(it=pt-S,nt=pt+S):(it=Math.min.apply(null,G.map((function(t){return Math.min(t.y0,t.y1)}))),nt=Math.max.apply(null,G.map((function(t){return Math.max(t.y0,t.y1)})))):it=nt=o.mean(G.map((function(t){return(t.y0+t.y1)/2})))-ut/2,"x"===P?dt?(at=ht+S,ot=ht-S):(at=Math.max.apply(null,G.map((function(t){return Math.max(t.x0,t.x1)}))),ot=Math.min.apply(null,G.map((function(t){return Math.min(t.x0,t.x1)})))):at=ot=o.mean(G.map((function(t){return(t.x0+t.x1)/2})))-ct/2;var mt,gt,vt=E._offset,yt=L._offset;return ot+=vt-ct,it+=yt-ut,mt=(at+=vt)+ct<R&&at>=0?at:ot+ct<R&&ot>=0?ot:vt+ct<R?vt:at-ht<ht-ot+ct?R-ct:0,mt+=S,gt=(nt+=yt)+ut<F&&nt>=0?nt:it+ut<F&&it>=0?it:yt+ut<F?yt:nt-pt<pt-it+ut?F-ut:0,gt+=S,st.attr("transform",s(mt-1,gt-1)),st}var xt=d.selectAll("g.hovertext").data(t,(function(t){return C(t)}));return xt.enter().append("g").classed("hovertext",!0).each((function(){var t=n.select(this);t.append("rect").call(p.fill,p.addOpacity(f,.8)),t.append("text").classed("name",!0),t.append("path").style("stroke-width","1px"),t.append("text").classed("nums",!0).call(h.font,T,k)})),xt.exit().remove(),xt.each((function(t){var e=n.select(this).attr("transform",""),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,m=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),v=t.borderColor||p.contrast(m),y=O(t,B,a,i,I,e),x=y[0],b=y[1],w=e.select("text.nums").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||v).text(x).attr("data-notex",1).call(u.positionText,0,0).call(u.convertToTspans,r),A=e.select("text.name"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,g).text(b).attr("data-notex",1).call(u.positionText,0,0).call(u.convertToTspans,r);var C=V(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select("rect").remove();e.select("path").style({fill:m,stroke:v});var P=t.xa._offset+(t.x0+t.x1)/2,z=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=V(r,w.node()),H=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(D-U.top)/i._invScaleY,t.bx=H+2*S,t.by=Math.max(q+2*S,L),t.anchor="start",t.txwidth=H,t.tx2width=E,t.offset=0;var G,Y,W=(H+M+S+E)*i._invScaleX;if(c)t.pos=P,G=z+j/2+W<=F,Y=z-j/2-W>=0,"top"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor="start"):t.anchor="middle":(z-=j/2,t.anchor="end");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,"left"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor="start";else{t.anchor="middle";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor="end";w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,z)+(c?l(_):""))})),xt}function O(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u="x"===c?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"<br>"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"<br>"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[c+"Label"]===i?l=t[u+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"<br>":"")+t.text),void 0!==t.extraText&&(l+=(l?"<br>":"")+t.extraText),a&&""===l&&!t.hovertemplate&&(""===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var h=t.hovertemplateLabels||t;t[c+"Label"]!==i&&(h[c+"other"]=h[c+"Val"],h[c+"otherLabel"]=h[c+"Label"]),l=(l=o.hovertemplateString(f,h,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(P,(function(e,r){return s=B(r,t.nameLength),""}))}return[l,s]}function z(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var i=r.select("text.nums"),s=t.anchor,l="end"===s?-1:1,c={start:1,end:-1,middle:0}[s],f=c*(M+S),p=f+c*(t.txwidth+S),d=0,m=t.offset,g="middle"===s;g&&(f-=t.tx2width/2,p+=t.txwidth/2+S),e&&(m*=-A,d=t.offset*k),r.select("path").attr("d",g?"M-"+a(t.bx/2+t.tx2width/2)+","+o(m-t.by/2)+"h"+a(t.bx)+"v"+o(t.by)+"h-"+a(t.bx)+"Z":"M0,0L"+a(l*M+d)+","+o(M+m)+"v"+o(t.by/2-M)+"h"+a(l*t.bx)+"v-"+o(t.by)+"H"+a(l*M+d)+"V"+o(m-M)+"Z");var v=d+f,y=m+t.ty0-t.by/2+S,x=t.textAlign||"auto";"auto"!==x&&("left"===x&&"start"!==s?(i.attr("text-anchor","start"),v=g?-t.bx/2-t.tx2width/2+S:-t.bx-S):"right"===x&&"end"!==s&&(i.attr("text-anchor","end"),v=g?t.bx/2-t.tx2width/2-S:t.bx+S)),i.call(u.positionText,a(v),o(y)),t.tx2width&&(r.select("text.name").call(u.positionText,a(p+c*S+d),o(m+t.ty0-t.by/2+S)),r.select("rect").call(h.setRect,a(p+(c-1)*t.tx2width/2+d),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function D(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u("hoverinfo","hi","hoverinfo"),u("bgcolor","hbg","hoverlabel.bgcolor"),u("borderColor","hbc","hoverlabel.bordercolor"),u("fontFamily","htf","hoverlabel.font.family"),u("fontSize","hts","hoverlabel.font.size"),u("fontColor","htc","hoverlabel.font.color"),u("nameLength","hnl","hoverlabel.namelength"),u("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:m.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:m.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=m.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+m.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" \xb1 "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=m.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+m.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" \xb1 "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function R(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var g,v,y=e.hLinePoint;n=y&&y.xa,"cursor"===(i=y&&y.ya).spikesnap?(g=c.pointerX,v=c.pointerY):(g=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=m.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=g),-1!==w.indexOf("across")){var M=i._counterDomainMin,S=i._counterDomainMax;"free"===i.anchor&&(M=Math.min(M,i.position),S=Math.max(S,i.position)),x=l.l+M*l.w,b=l.l+S*l.w}o.insert("line",":first-child").attr({x1:x,x2:b,y1:v,y2:v,"stroke-width":T,stroke:k,"stroke-dasharray":h.dashStyle(i.spikedash,T)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:x,x2:b,y1:v,y2:v,"stroke-width":T+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==w.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:A+("right"!==i.side?T:-T),cy:v,r:T,fill:k}).classed("spikeline",!0)}if(f){var E,L,C=e.vLinePoint;n=C&&C.xa,i=C&&C.ya,"cursor"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=i._offset+C.y);var P,I,O=a.readability(C.color,d)<1.5?p.contrast(d):C.color,z=n.spikemode,D=n.spikethickness,R=n.spikecolor||O,F=m.getPxPosition(t,n);if(-1!==z.indexOf("toaxis")||-1!==z.indexOf("across")){if(-1!==z.indexOf("toaxis")&&(P=F,I=L),-1!==z.indexOf("across")){var B=n._counterDomainMin,N=n._counterDomainMax;"free"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,I=l.t+(1-B)*l.h}o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:I,"stroke-width":D,stroke:R,"stroke-dasharray":h.dashStyle(n.spikedash,D)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:I,"stroke-width":D+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==z.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:E,cy:F-("top"!==n.side?D:-D),r:D,fill:R}).classed("spikeline",!0)}}}function F(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function B(t,e){return u.plainText(t||"",{len:e,allowedTags:["br","sub","sup","b","i","em"]})}function N(t,e,r){var n=e[t+"a"],i=e[t+"Val"],a=e.cd[0];if("category"===n.type)i=n._categoriesMap[i];else if("date"===n.type){var o=e.trace[t+"periodalignment"];if(o){var s=e.cd[e.index],l=s[t+"Start"];void 0===l&&(l=s[t]);var c=s[t+"End"];void 0===c&&(c=s[t]);var u=c-l;"end"===o?i+=u:"middle"===o&&(i+=u/2)}i=n.d2c(i)}return a&&a.t&&a.t.posLetter===n._id&&("group"!==r.boxmode&&"group"!==r.violinmode||(i+=a.t.dPos)),i}function j(t){return t.offsetTop+t.clientTop}function U(t){return t.offsetLeft+t.clientLeft}function V(t,e){var r=t._fullLayout,n=e.getBoundingClientRect(),i=n.x,a=n.y,s=i+n.width,l=a+n.height,c=o.apply3DTransform(r._invTransform)(i,a),u=o.apply3DTransform(r._invTransform)(s,l),f=c[0],h=c[1],p=u[0],d=u[1];return{x:f,y:h,width:p-f,height:d-h,top:Math.min(h,d),left:Math.min(f,p),right:Math.max(f,p),bottom:Math.max(h,d)}}},{"../../lib":498,"../../lib/events":487,"../../lib/override_cursor":509,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"../legend/defaults":413,"../legend/draw":414,"./constants":395,"./helpers":397,"@plotly/d3":58,"fast-isnumeric":185,tinycolor2:307}],399:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color"),a=t("./helpers").isUnifiedHover;e.exports=function(t,e,r,o){o=o||{};var s=e.legend;function l(t){o.font[t]||(o.font[t]=s?e.legend.font[t]:e.font[t])}e&&a(e.hovermode)&&(o.font||(o.font={}),l("size"),l("family"),l("color"),s?(o.bgcolor||(o.bgcolor=i.combine(e.legend.bgcolor,e.paper_bgcolor)),o.bordercolor||(o.bordercolor=e.legend.bordercolor)):o.bgcolor||(o.bgcolor=e.paper_bgcolor)),r("hoverlabel.bgcolor",o.bgcolor),r("hoverlabel.bordercolor",o.bordercolor),r("hoverlabel.namelength",o.namelength),n.coerceFont(r,"hoverlabel.font",o.font),r("hoverlabel.align",o.align)}},{"../../lib":498,"../color":361,"./helpers":397}],400:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return void 0!==e[r]?e[r]:n.coerce(t,e,i,r,a)}return r("clickmode"),r("hovermode")}},{"../../lib":498,"./layout_attributes":402}],401:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../dragelement"),o=t("./helpers"),s=t("./layout_attributes"),l=t("./hover");e.exports={moduleType:"component",name:"fx",constants:t("./constants"),schema:{layout:s},attributes:t("./attributes"),layoutAttributes:s,supplyLayoutGlobalDefaults:t("./layout_global_defaults"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll("g.hovertext").remove(),e.selectAll(".spikeline").remove()},click:t("./click")}},{"../../lib":498,"../dragelement":380,"./attributes":392,"./calc":393,"./click":394,"./constants":395,"./defaults":396,"./helpers":397,"./hover":398,"./layout_attributes":402,"./layout_defaults":403,"./layout_global_defaults":404,"@plotly/d3":58}],402:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../plots/font_attributes"),a=i({editType:"none"});a.family.dflt=n.HOVERFONT,a.size.dflt=n.HOVERFONTSIZE,e.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"]},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar"},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y unified"],dflt:"closest",editType:"modebar"},hoverdistance:{valType:"integer",min:-1,dflt:20,editType:"none"},spikedistance:{valType:"integer",min:-1,dflt:-1,editType:"none"},hoverlabel:{bgcolor:{valType:"color",editType:"none"},bordercolor:{valType:"color",editType:"none"},font:a,grouptitlefont:i({editType:"none"}),align:{valType:"enumerated",values:["left","right","auto"],dflt:"auto",editType:"none"},namelength:{valType:"integer",min:-1,dflt:15,editType:"none"},editType:"none"},selectdirection:{valType:"enumerated",values:["h","v","d","any"],dflt:"any",editType:"none"}}},{"../../plots/font_attributes":580,"./constants":395}],403:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes"),a=t("./hovermode_defaults"),o=t("./hoverlabel_defaults");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}a(t,e)&&(r("hoverdistance"),r("spikedistance")),"select"===r("dragmode")&&r("selectdirection");var s=e._has("mapbox"),l=e._has("geo"),c=e._basePlotModules.length;"zoom"===e.dragmode&&((s||l)&&1===c||s&&l&&2===c)&&(e.dragmode="pan"),o(t,e,r),n.coerceFont(r,"hoverlabel.grouptitlefont",e.hoverlabel.font)}},{"../../lib":498,"./hoverlabel_defaults":399,"./hovermode_defaults":400,"./layout_attributes":402}],404:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./hoverlabel_defaults"),a=t("./layout_attributes");e.exports=function(t,e){i(t,e,(function(r,i){return n.coerce(t,e,a,r,i)}))}},{"../../lib":498,"./hoverlabel_defaults":399,"./layout_attributes":402}],405:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../lib/regex").counter,a=t("../../plots/domain").attributes,o=t("../../plots/cartesian/constants").idRegex,s=t("../../plot_api/plot_template"),l={rows:{valType:"integer",min:1,editType:"plot"},roworder:{valType:"enumerated",values:["top to bottom","bottom to top"],dflt:"top to bottom",editType:"plot"},columns:{valType:"integer",min:1,editType:"plot"},subplots:{valType:"info_array",freeLength:!0,dimensions:2,items:{valType:"enumerated",values:[i("xy").toString(),""],editType:"plot"},editType:"plot"},xaxes:{valType:"info_array",freeLength:!0,items:{valType:"enumerated",values:[o.x.toString(),""],editType:"plot"},editType:"plot"},yaxes:{valType:"info_array",freeLength:!0,items:{valType:"enumerated",values:[o.y.toString(),""],editType:"plot"},editType:"plot"},pattern:{valType:"enumerated",values:["independent","coupled"],dflt:"coupled",editType:"plot"},xgap:{valType:"number",min:0,max:1,editType:"plot"},ygap:{valType:"number",min:0,max:1,editType:"plot"},domain:a({name:"grid",editType:"plot",noGridCell:!0},{}),xside:{valType:"enumerated",values:["bottom","bottom plot","top plot","top"],dflt:"bottom plot",editType:"plot"},yside:{valType:"enumerated",values:["left","left plot","right plot","right"],dflt:"left plot",editType:"plot"},editType:"plot"};function c(t,e,r){var n=e[r+"axes"],i=Object.keys((t._splomAxes||{})[r]||{});return Array.isArray(n)?n:i.length?i:void 0}function u(t,e,r,n,i,a){var o=e(t+"gap",r),s=e("domain."+t);e(t+"side",n);for(var l=new Array(i),c=s[0],u=(s[1]-c)/(i-o),f=u*(1-o),h=0;h<i;h++){var p=c+u*h;l[a?i-1-h:h]=[p,p+f]}return l}function f(t,e,r,n,i){var a,o=new Array(r);function s(t,r){-1!==e.indexOf(r)&&void 0===n[r]?(o[t]=r,n[r]=t):o[t]=""}if(Array.isArray(t))for(a=0;a<r;a++)s(a,t[a]);else for(s(0,i),a=1;a<r;a++)s(a,i+(a+1));return o}e.exports={moduleType:"component",name:"grid",schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(t,e){var r=t.grid||{},i=c(e,r,"x"),a=c(e,r,"y");if(t.grid||i||a){var o,f,h=Array.isArray(r.subplots)&&Array.isArray(r.subplots[0]),p=Array.isArray(i),d=Array.isArray(a),m=p&&i!==r.xaxes&&d&&a!==r.yaxes;h?(o=r.subplots.length,f=r.subplots[0].length):(d&&(o=a.length),p&&(f=i.length));var g=s.newContainer(e,"grid"),v=k("rows",o),y=k("columns",f);if(v*y>1){if(!h&&!p&&!d)"independent"===k("pattern")&&(h=!0);g._hasSubplotGrid=h;var x,b,_="top to bottom"===k("roworder"),w=h?.2:.1,T=h?.3:.1;m&&e._splomGridDflt&&(x=e._splomGridDflt.xside,b=e._splomGridDflt.yside),g._domains={x:u("x",k,w,x,y),y:u("y",k,T,b,v,_)}}else delete e.grid}function k(t,e){return n.coerce(r,g,l,t,e)}},contentDefaults:function(t,e){var r=e.grid;if(r&&r._domains){var n,i,a,o,s,l,u,h=t.grid||{},p=e._subplots,d=r._hasSubplotGrid,m=r.rows,g=r.columns,v="independent"===r.pattern,y=r._axisMap={};if(d){var x=h.subplots||[];l=r.subplots=new Array(m);var b=1;for(n=0;n<m;n++){var _=l[n]=new Array(g),w=x[n]||[];for(i=0;i<g;i++)if(v?(s=1===b?"xy":"x"+b+"y"+b,b++):s=w[i],_[i]="",-1!==p.cartesian.indexOf(s)){if(u=s.indexOf("y"),a=s.slice(0,u),o=s.slice(u),void 0!==y[a]&&y[a]!==i||void 0!==y[o]&&y[o]!==n)continue;_[i]=s,y[a]=i,y[o]=n}}}else{var T=c(e,h,"x"),k=c(e,h,"y");r.xaxes=f(T,p.xaxis,g,y,"x"),r.yaxes=f(k,p.yaxis,m,y,"y")}var A=r._anchors={},M="top to bottom"===r.roworder;for(var S in y){var E,L,C,P=S.charAt(0),I=r[P+"side"];if(I.length<8)A[S]="free";else if("x"===P){if("t"===I.charAt(0)===M?(E=0,L=1,C=m):(E=m-1,L=-1,C=-1),d){var O=y[S];for(n=E;n!==C;n+=L)if((s=l[n][O])&&(u=s.indexOf("y"),s.slice(0,u)===S)){A[S]=s.slice(u);break}}else for(n=E;n!==C;n+=L)if(o=r.yaxes[n],-1!==p.cartesian.indexOf(S+o)){A[S]=o;break}}else if("l"===I.charAt(0)?(E=0,L=1,C=g):(E=g-1,L=-1,C=-1),d){var z=y[S];for(n=E;n!==C;n+=L)if((s=l[z][n])&&(u=s.indexOf("y"),s.slice(u)===S)){A[S]=s.slice(0,u);break}}else for(n=E;n!==C;n+=L)if(a=r.xaxes[n],-1!==p.cartesian.indexOf(a+S)){A[S]=a;break}}}}}},{"../../lib":498,"../../lib/regex":515,"../../plot_api/plot_template":538,"../../plots/cartesian/constants":556,"../../plots/domain":579}],406:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":467,"../../plot_api/plot_template":538,"../../plots/cartesian/constants":556}],407:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.images,f=e._id.charAt(0),h=0;h<u.length;h++)if(c="images["+h+"].",(l=u[h])[f+"ref"]===e._id){var p=l[f],d=l["size"+f],m=null,g=null;if(o){m=i(p,e.range);var v=d/Math.pow(10,m)/2;g=2*Math.log(v+Math.sqrt(1+v*v))/Math.LN10}else g=(m=Math.pow(10,p))*(Math.pow(10,d/2)-Math.pow(10,-d/2));n(m)?n(g)||(g=null):(m=null,g=null),a(c+f,m),a(c+"size"+f,g)}}},{"../../lib/to_log_range":526,"fast-isnumeric":185}],408:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./attributes");function s(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var s=a("source");if(!a("visible",!!s))return e;a("layer"),a("xanchor"),a("yanchor"),a("sizex"),a("sizey"),a("sizing"),a("opacity");for(var l={_fullLayout:r},c=["x","y"],u=0;u<2;u++){var f=c[u],h=i.coerceRef(t,e,l,f,"paper",void 0);if("paper"!==h)i.getFromId(l,h)._imgIndices.push(e._index);i.coercePosition(e,l,a,h,f,0)}return e}e.exports=function(t,e){a(t,e,{name:"images",handleItemDefaults:s})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"./attributes":406}],409:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../drawing"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/axis_ids"),s=t("../../constants/xmlns_namespaces");e.exports=function(t){var e,r,l=t._fullLayout,c=[],u={},f=[];for(r=0;r<l.images.length;r++){var h=l.images[r];if(h.visible)if("below"===h.layer&&"paper"!==h.xref&&"paper"!==h.yref){e=o.ref2id(h.xref)+o.ref2id(h.yref);var p=l._plots[e];if(!p){f.push(h);continue}p.mainplot&&(e=p.mainplot.id),u[e]||(u[e]=[]),u[e].push(h)}else"above"===h.layer?c.push(h):f.push(h)}var d={left:{sizing:"xMin",offset:0},center:{sizing:"xMid",offset:-.5},right:{sizing:"xMax",offset:-1}},m={top:{sizing:"YMin",offset:0},middle:{sizing:"YMid",offset:-.5},bottom:{sizing:"YMax",offset:-1}};function g(e){var r=n.select(this);if(this._imgSrc!==e.source)if(r.attr("xmlns",s.svg),e.source&&"data:"===e.source.slice(0,5))r.attr("xlink:href",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute("crossOrigin","anonymous"),n.onerror=i,n.onload=function(){var e=document.createElement("canvas");e.width=this.width,e.height=this.height,e.getContext("2d").drawImage(this,0,0);var n=e.toDataURL("image/png");r.attr("xlink:href",n),t()},r.on("error",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function v(e){var r,o,s=n.select(this),c=a.getFromId(t,e.xref),u=a.getFromId(t,e.yref),f="domain"===a.getRefType(e.xref),h="domain"===a.getRefType(e.yref),p=l._size;r=void 0!==c?"string"==typeof e.xref&&f?c._length*e.sizex:Math.abs(c.l2p(e.sizex)-c.l2p(0)):e.sizex*p.w,o=void 0!==u?"string"==typeof e.yref&&h?u._length*e.sizey:Math.abs(u.l2p(e.sizey)-u.l2p(0)):e.sizey*p.h;var g,v,y=r*d[e.xanchor].offset,x=o*m[e.yanchor].offset,b=d[e.xanchor].sizing+m[e.yanchor].sizing;switch(g=void 0!==c?"string"==typeof e.xref&&f?c._length*e.x+c._offset:c.r2p(e.x)+c._offset:e.x*p.w+p.l,g+=y,v=void 0!==u?"string"==typeof e.yref&&h?u._length*(1-e.y)+u._offset:u.r2p(e.y)+u._offset:p.h-e.y*p.h+p.t,v+=x,e.sizing){case"fill":b+=" slice";break;case"stretch":b="none"}s.attr({x:g,y:v,width:r,height:o,preserveAspectRatio:b,opacity:e.opacity});var _=(c&&"domain"!==a.getRefType(e.xref)?c._id:"")+(u&&"domain"!==a.getRefType(e.yref)?u._id:"");i.setClipUrl(s,_?"clip"+l._uid+_:null,t)}var y=l._imageLowerLayer.selectAll("image").data(f),x=l._imageUpperLayer.selectAll("image").data(c);y.enter().append("image"),x.enter().append("image"),y.exit().remove(),x.exit().remove(),y.each((function(t){g.bind(this)(t),v.bind(this)(t)})),x.each((function(t){g.bind(this)(t),v.bind(this)(t)}));var b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll("image").data(u[e]||[]);w.enter().append("image"),w.exit().remove(),w.each((function(t){g.bind(this)(t),v.bind(this)(t)}))}}}},{"../../constants/xmlns_namespaces":475,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_ids":553,"../drawing":383,"@plotly/d3":58}],410:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"images",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("images"),draw:t("./draw"),convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":562,"./attributes":406,"./convert_coords":407,"./defaults":408,"./draw":409}],411:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../color/attributes");e.exports={bgcolor:{valType:"color",editType:"legend"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"legend"},borderwidth:{valType:"number",min:0,dflt:0,editType:"legend"},font:n({editType:"legend"}),grouptitlefont:n({editType:"legend"}),orientation:{valType:"enumerated",values:["v","h"],dflt:"v",editType:"legend"},traceorder:{valType:"flaglist",flags:["reversed","grouped"],extras:["normal"],editType:"legend"},tracegroupgap:{valType:"number",min:0,dflt:10,editType:"legend"},itemsizing:{valType:"enumerated",values:["trace","constant"],dflt:"trace",editType:"legend"},itemwidth:{valType:"number",min:30,dflt:30,editType:"legend"},itemclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggle",editType:"legend"},itemdoubleclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggleothers",editType:"legend"},groupclick:{valType:"enumerated",values:["toggleitem","togglegroup"],dflt:"togglegroup",editType:"legend"},x:{valType:"number",min:-2,max:3,editType:"legend"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"legend"},y:{valType:"number",min:-2,max:3,editType:"legend"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],editType:"legend"},uirevision:{valType:"any",editType:"none"},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"legend"},title:{text:{valType:"string",dflt:"",editType:"legend"},font:n({editType:"legend"}),side:{valType:"enumerated",values:["top","left","top left"],editType:"legend"},editType:"legend"},editType:"legend"}},{"../../plots/font_attributes":580,"../color/attributes":360}],412:[function(t,e,r){"use strict";e.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:"#808BA4",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},{}],413:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plot_api/plot_template"),o=t("../../plots/attributes"),s=t("./attributes"),l=t("../../plots/layout_attributes"),c=t("./helpers");e.exports=function(t,e,r){var u,f=t.legend||{},h=a.newContainer(e,"legend");function p(t,e){return i.coerce(f,h,s,t,e)}for(var d=function(t,e){var r=u._input,n=u;return i.coerce(r,n,o,t,e)},m=e.font||{},g=i.coerceFont(p,"grouptitlefont",i.extendFlat({},m,{size:Math.round(1.1*m.size)})),v=0,y=!1,x="normal",b=0;b<r.length;b++)(u=r[b]).visible&&((u.showlegend||u._dfltShowLegend&&!(u._module&&u._module.attributes&&u._module.attributes.showlegend&&!1===u._module.attributes.showlegend.dflt))&&(v++,u.showlegend&&(y=!0,(n.traceIs(u,"pie-like")||!0===u._input.showlegend)&&v++),i.coerceFont(d,"legendgrouptitle.font",g)),(n.traceIs(u,"bar")&&"stack"===e.barmode||-1!==["tonextx","tonexty"].indexOf(u.fill))&&(x=c.isGrouped({traceorder:x})?"grouped+reversed":"reversed"),void 0!==u.legendgroup&&""!==u.legendgroup&&(x=c.isReversed({traceorder:x})?"reversed+grouped":"grouped"));var _=i.coerce(t,e,l,"showlegend",y&&v>1);if(!1===_&&(e.legend=void 0),(!1!==_||f.uirevision)&&(p("uirevision",e.uirevision),!1!==_)){p("bgcolor",e.paper_bgcolor),p("bordercolor"),p("borderwidth");var w,T,k,A=i.coerceFont(p,"font",e.font),M="h"===p("orientation");if(M?(w=0,n.getComponentMethod("rangeslider","isVisible")(t.xaxis)?(T=1.1,k="bottom"):(T=-.1,k="top")):(w=1.02,T=1,k="auto"),p("traceorder",x),c.isGrouped(e.legend)&&p("tracegroupgap"),p("itemsizing"),p("itemwidth"),p("itemclick"),p("itemdoubleclick"),p("groupclick"),p("x",w),p("xanchor"),p("y",T),p("yanchor",k),p("valign"),i.noneOrAll(f,h,["x","y"]),p("title.text")){p("title.side",M?"left":"top");var S=i.extendFlat({},A,{size:i.bigFont(A.size)});i.coerceFont(p,"title.font",S)}}}},{"../../lib":498,"../../plot_api/plot_template":538,"../../plots/attributes":545,"../../plots/layout_attributes":605,"../../registry":633,"./attributes":411,"./helpers":417}],414:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib/events"),l=t("../dragelement"),c=t("../drawing"),u=t("../color"),f=t("../../lib/svg_text_utils"),h=t("./handle_click"),p=t("./constants"),d=t("../../constants/alignment"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t("./get_legend_data"),x=t("./style"),b=t("./helpers");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,"pie-like")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,"plotly_legendclick",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else if(2===n){e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,"plotly_legenddoubleclick",l)&&h(r,t,n)}}function w(t,e,r){var n,a,s=t.data()[0][0],l=s.trace,u=o.traceIs(l,"pie-like"),h=!r._inHover&&e._context.edits.legendText&&!u,d=r._maxNameLength;s.groupTitle?(n=s.groupTitle.text,a=s.groupTitle.font):(a=r.font,r.entries?n=s.text:(n=u?s.label:l.name,l._meta&&(n=i.templateString(n,l._meta))));var m=i.ensureSingle(t,"text","legendtext");m.attr("text-anchor","start").call(c.font,a).text(h?T(n,d):n);var g=r.itemwidth+2*p.itemGap;f.positionText(m,g,0),h?m.call(f.makeEditable,{gd:e,text:n}).call(A,t,e,r).on("edit",(function(n){this.text(T(n,d)).call(A,t,e,r);var a=s.trace._fullInput||{},c={};if(o.hasTransform(a,"groupby")){var u=o.getTransformIndices(a,"groupby"),f=u[u.length-1],h=i.keyedContainer(a,"transforms["+f+"].styles","target","value.name");h.set(s.trace._group,n),c=h.constructUpdate()}else c.name=n;return o.call("_guiRestyle",e,c,l.index)})):A(m,t,e,r)}function T(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||"").length;n>0;n--)t+=" ";return t}function k(t,e){var r,a=e._context.doubleClickDelay,o=1,s=i.ensureSingle(t,"rect","legendtoggle",(function(t){e._context.staticPlot||t.style("cursor","pointer").attr("pointer-events","all"),t.call(u.fill,"rgba(0,0,0,0)")}));e._context.staticPlot||(s.on("mousedown",(function(){(r=(new Date).getTime())-e._legendMouseDownTime<a?o+=1:(o=1,e._legendMouseDownTime=r)})),s.on("mouseup",(function(){if(!e._dragged&&!e._editing){var r=e._fullLayout.legend;(new Date).getTime()-e._legendMouseDownTime>a&&(o=Math.max(o-1,1)),_(e,r,t,o,n.event)}})))}function A(t,e,r,n,i){n._inHover&&t.attr("data-notex",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(!r._inHover&&i&&!i.trace.showlegend)return void t.remove();var a=t.select("g[class*=math-group]"),o=a.node();r||(r=e._fullLayout.legend);var s,l=r.borderwidth;s=1===n?r.title.font:i.groupTitle?i.groupTitle.font:r.font;var u,h,d=s.size*m;if(o){var g=c.bBox(o);u=g.height,h=g.width,1===n?c.setTranslate(a,l,l+.75*u):c.setTranslate(a,0,.25*u)}else{var v=t.select(1===n?".legendtitletext":".legendtext"),y=f.lineCount(v),x=v.node();if(u=d*y,h=x?c.bBox(x).width:0,1===n)"left"===r.title.side&&(h+=2*p.itemGap),f.positionText(v,l+p.titlePad,l+d);else{var b=2*p.itemGap+r.itemwidth;i.groupTitle&&(b=p.itemGap,h-=r.itemwidth),f.positionText(v,b,-d*((y-1)/2-.3))}}1===n?(r._titleWidth=h,r._titleHeight=u):(i.lineHeight=d,i.height=Math.max(u,16)+3,i.width=h)}(e,r,n,i)}))}function M(t){return i.isRightAnchor(t)?"right":i.isCenterAnchor(t)?"center":"left"}function S(t){return i.isBottomAnchor(t)?"bottom":i.isMiddleAnchor(t)?"middle":"top"}e.exports=function(t,e){return e||(e=t._fullLayout.legend||{}),function(t,e){var r,s,f=t._fullLayout,h="legend"+f._uid,d=e._inHover;d?(r=e.layer,h+="-hover"):r=f._infolayer;if(!r)return;t._legendMouseDownTime||(t._legendMouseDownTime=0);if(d){if(!e.entries)return;s=y(e.entries,e)}else{if(!t.calcdata)return;s=f.showlegend&&y(t.calcdata,e)}var m=f.hiddenlabels||[];if(!(d||f.showlegend&&s.length))return r.selectAll(".legend").remove(),f._topdefs.select("#"+h).remove(),a.autoMargin(t,"legend");var T=i.ensureSingle(r,"g","legend",(function(t){d||t.attr("pointer-events","all")})),E=i.ensureSingleById(f._topdefs,"clipPath",h,(function(t){t.append("rect")})),L=i.ensureSingle(T,"rect","bg",(function(t){t.attr("shape-rendering","crispEdges")}));L.call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px");var C=i.ensureSingle(T,"g","scrollbox"),P=e.title;if(e._titleWidth=0,e._titleHeight=0,P.text){var I=i.ensureSingle(C,"text","legendtitletext");I.attr("text-anchor","start").call(c.font,P.font).text(P.text),A(I,C,t,e,1)}else C.selectAll(".legendtitletext").remove();var O=i.ensureSingle(T,"rect","scrollbar",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),z=C.selectAll("g.groups").data(s);z.enter().append("g").attr("class","groups"),z.exit().remove();var D=z.selectAll("g.traces").data(i.identity);D.enter().append("g").attr("class","traces"),D.exit().remove(),D.style("opacity",(function(t){var e=t[0].trace;return o.traceIs(e,"pie-like")?-1!==m.indexOf(t[0].label)?.5:1:"legendonly"===e.visible?.5:1})).each((function(){n.select(this).call(w,t,e)})).call(x,t,e).each((function(){d||n.select(this).call(k,t)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout;i||(i=a.legend);var o=a._size,s=b.isVertical(i),l=b.isGrouped(i),u=i.borderwidth,f=2*u,h=p.itemGap,d=i.itemwidth+2*h,m=2*(u+h),g=S(i),v=i.y<0||0===i.y&&"top"===g,y=i.y>1||1===i.y&&"bottom"===g,x=i.tracegroupgap;i._maxHeight=Math.max(v||y?a.height/2:o.h,30);var _=0;i._width=0,i._height=0;var w=function(t){var e=0,r=0,n=t.title.side;n&&(-1!==n.indexOf("left")&&(e=t._titleWidth),-1!==n.indexOf("top")&&(r=t._titleHeight));return[e,r]}(i);if(s)r.each((function(t){var e=t[0].height;c.setTranslate(this,u+w[0],u+w[1]+i._height+e/2+h),i._height+=e,i._width=Math.max(i._width,t[0].width)})),_=d+i._width,i._width+=h+d+f,i._height+=m,l&&(e.each((function(t,e){c.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var T=M(i),k=i.x<0||0===i.x&&"right"===T,A=i.x>1||1===i.x&&"left"===T,E=y||v,L=a.width/2;i._maxWidth=Math.max(k?E&&"left"===T?o.l+o.w:L:A?E&&"right"===T?o.r+o.w:L:o.w,2*d);var C=0,P=0;r.each((function(t){var e=t[0].width+d;C=Math.max(C,e),P+=e})),_=null;var I=0;if(l){var O=0,z=0,D=0;e.each((function(){var t=0,e=0;n.select(this).selectAll("g.traces").each((function(r){var n=r[0].width,i=r[0].height;c.setTranslate(this,w[0],w[1]+u+h+i/2+e),e+=i,t=Math.max(t,d+n)}));var r=t+h;z>0&&r+u+z>i._maxWidth?(I=Math.max(I,z),z=0,D+=O+x,O=e):O=Math.max(O,e),c.setTranslate(this,z,D),z+=r})),i._width=Math.max(I,z)+u,i._height=D+O+m}else{var R=r.size(),F=P+f+(R-1)*h<i._maxWidth,B=0,N=0,j=0,U=0;r.each((function(t){var e=t[0].height,r=d+t[0].width,n=(F?r:C)+h;n+u+N-h>=i._maxWidth&&(I=Math.max(I,U),N=0,j+=B,i._height+=B,B=0),c.setTranslate(this,w[0]+u+N,w[1]+u+j+e/2+h),U=N+r+h,N+=n,B=Math.max(B,e)})),F?(i._width=N+f,i._height=B+m):(i._width=Math.max(I,U)+f,i._height+=B+m)}}i._width=Math.ceil(Math.max(i._width+w[0],i._titleWidth+2*(u+p.titlePad))),i._height=Math.ceil(Math.max(i._height+w[1],i._titleHeight+2*(u+p.itemGap))),i._effHeight=Math.min(i._height,i._maxHeight);var V=t._context.edits,H=V.legendText||V.legendPosition;r.each((function(t){var e=n.select(this).select(".legendtoggle"),r=t[0].height,i=H?d:_||d+t[0].width;s||(i+=h/2),c.setRect(e,0,-r/2,i,r)}))}(t,z,D,e)},function(){var s,u,m,y,x=f._size,b=e.borderwidth;if(!d){if(function(t){var e=t._fullLayout.legend,r=M(e),n=S(e);return a.autoMargin(t,"legend",{x:e.x,y:e.y,l:e._width*g[r],r:e._width*v[r],b:e._effHeight*v[n],t:e._effHeight*g[n]})}(t))return;var w=x.l+x.w*e.x-g[M(e)]*e._width,k=x.t+x.h*(1-e.y)-g[S(e)]*e._effHeight;if(f.margin.autoexpand){var A=w,P=k;w=i.constrain(w,0,f.width-e._width),k=i.constrain(k,0,f.height-e._effHeight),w!==A&&i.log("Constrain legend.x to make legend fit inside graph"),k!==P&&i.log("Constrain legend.y to make legend fit inside graph")}c.setTranslate(T,w,k)}if(O.on(".drag",null),T.on("wheel",null),d||e._height<=e._maxHeight||t._context.staticPlot){var I=e._effHeight;d&&(I=e._height),L.attr({width:e._width-b,height:I-b,x:b/2,y:b/2}),c.setTranslate(C,0,0),E.select("rect").attr({width:e._width-2*b,height:I-2*b,x:b,y:b}),c.setClipUrl(C,h,t),c.setRect(O,0,0,0,0),delete e._scrollY}else{var z,D,R,F=Math.max(p.scrollBarMinHeight,e._effHeight*e._effHeight/e._height),B=e._effHeight-F-2*p.scrollBarMargin,N=e._height-e._effHeight,j=B/N,U=Math.min(e._scrollY||0,N);L.attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-b,x:b/2,y:b/2}),E.select("rect").attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-2*b,x:b,y:b+U}),c.setClipUrl(C,h,t),q(U,F,j),T.on("wheel",(function(){q(U=i.constrain(e._scrollY+n.event.deltaY/B*N,0,N),F,j),0!==U&&U!==N&&n.event.preventDefault()}));var V=n.behavior.drag().on("dragstart",(function(){var t=n.event.sourceEvent;z="touchstart"===t.type?t.changedTouches[0].clientY:t.clientY,R=U})).on("drag",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(D="touchmove"===t.type?t.changedTouches[0].clientY:t.clientY,q(U=function(t,e,r){var n=(r-e)/j+t;return i.constrain(n,0,N)}(R,z,D),F,j))}));O.call(V);var H=n.behavior.drag().on("dragstart",(function(){var t=n.event.sourceEvent;"touchstart"===t.type&&(z=t.changedTouches[0].clientY,R=U)})).on("drag",(function(){var t=n.event.sourceEvent;"touchmove"===t.type&&(D=t.changedTouches[0].clientY,q(U=function(t,e,r){var n=(e-r)/j+t;return i.constrain(n,0,N)}(R,z,D),F,j))}));C.call(H)}function q(r,n,i){e._scrollY=t._fullLayout.legend._scrollY=r,c.setTranslate(C,0,-r),c.setRect(O,e._width,p.scrollBarMargin+r*i,p.scrollBarWidth,n),E.select("rect").attr("y",b+r)}t._context.edits.legendPosition&&(T.classed("cursor-move",!0),l.init({element:T.node(),gd:t,prepFn:function(){var t=c.getTranslate(T);m=t.x,y=t.y},moveFn:function(t,r){var n=m+t,i=y+r;c.setTranslate(T,n,i),s=l.align(n,0,x.l,x.l+x.w,e.xanchor),u=l.align(i,0,x.t+x.h,x.t,e.yanchor)},doneFn:function(){void 0!==s&&void 0!==u&&o.call("_guiRelayout",t,{"legend.x":s,"legend.y":u})},clickFn:function(e,n){var i=r.selectAll("g.traces").filter((function(){var t=this.getBoundingClientRect();return n.clientX>=t.left&&n.clientX<=t.right&&n.clientY>=t.top&&n.clientY<=t.bottom}));i.size()>0&&_(t,T,i,e,n)}}))}],t)}(t,e)}},{"../../constants/alignment":466,"../../lib":498,"../../lib/events":487,"../../lib/svg_text_utils":524,"../../plots/plots":614,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"./constants":412,"./get_legend_data":415,"./handle_click":416,"./helpers":417,"./style":419,"@plotly/d3":58}],415:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./helpers");e.exports=function(t,e){var r,a,o=e._inHover,s=i.isGrouped(e),l=i.isReversed(e),c={},u=[],f=!1,h={},p=0,d=0;function m(t,r){if(""!==t&&i.isGrouped(e))-1===u.indexOf(t)?(u.push(t),f=!0,c[t]=[r]):c[t].push(r);else{var n="~~i"+p;u.push(n),c[n]=[r],p++}}for(r=0;r<t.length;r++){var g=t[r],v=g[0],y=v.trace,x=y.legendgroup;if(o||y.visible&&y.showlegend)if(n.traceIs(y,"pie-like"))for(h[x]||(h[x]={}),a=0;a<g.length;a++){var b=g[a].label;h[x][b]||(m(x,{label:b,color:g[a].color,i:g[a].i,trace:y,pts:g[a].pts}),h[x][b]=!0,d=Math.max(d,(b||"").length))}else m(x,v),d=Math.max(d,(y.name||"").length)}if(!u.length)return[];var _=!f||!s,w=[];for(r=0;r<u.length;r++){var T=c[u[r]];_?w.push(T[0]):w.push(T)}for(_&&(w=[w]),r=0;r<w.length;r++){var k=1/0;for(a=0;a<w[r].length;a++){var A=w[r][a].trace.legendrank;k>A&&(k=A)}w[r][0]._groupMinRank=k,w[r][0]._preGroupSort=r}var M=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(w.forEach((function(t,e){t[0]._preGroupSort=e})),w.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),r=0;r<w.length;r++){w[r].forEach((function(t,e){t._preSort=e})),w[r].sort(M);var S=w[r][0].trace,E=null;for(a=0;a<w[r].length;a++){var L=w[r][a].trace.legendgrouptitle;if(L&&L.text){E=L,o&&(L.font=e._groupTitleFont);break}}if(l&&w[r].reverse(),E){var C=!1;for(a=0;a<w[r].length;a++)if(n.traceIs(w[r][a].trace,"pie-like")){C=!0;break}w[r].unshift({i:-1,groupTitle:E,noClick:C,trace:{showlegend:S.showlegend,legendgroup:S.legendgroup,visible:"toggleitem"===e.groupclick||S.visible}})}for(a=0;a<w[r].length;a++)w[r][a]=[w[r][a]]}return e._lgroupsLength=w.length,e._maxNameLength=d,w}},{"../../registry":633,"./helpers":417}],416:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=!0;e.exports=function(t,e,r){var o=e._fullLayout;if(!e._dragged&&!e._editing){var s,l=o.legend.itemclick,c=o.legend.itemdoubleclick,u=o.legend.groupclick;if(1===r&&"toggle"===l&&"toggleothers"===c&&a&&e.data&&e._context.showTips?(n.notifier(n._(e,"Double-click on legend to isolate one trace"),"long"),a=!1):a=!1,1===r?s=l:2===r&&(s=c),s){var f="togglegroup"===u,h=o.hiddenlabels?o.hiddenlabels.slice():[],p=t.data()[0][0];if(!p.groupTitle||!p.noClick){var d,m,g,v,y,x=e._fullData,b=p.trace,_=b.legendgroup,w={},T=[],k=[],A=[];if(i.traceIs(b,"pie-like")){var M=p.label,S=h.indexOf(M);"toggle"===s?-1===S?h.push(M):h.splice(S,1):"toggleothers"===s&&(h=[],e.calcdata[0].forEach((function(t){M!==t.label&&h.push(t.label)})),e._fullLayout.hiddenlabels&&e._fullLayout.hiddenlabels.length===h.length&&-1===S&&(h=[])),i.call("_guiRelayout",e,"hiddenlabels",h)}else{var E,L=_&&_.length,C=[];if(L)for(d=0;d<x.length;d++)(E=x[d]).visible&&E.legendgroup===_&&C.push(d);if("toggle"===s){var P;switch(b.visible){case!0:P="legendonly";break;case!1:P=!1;break;case"legendonly":P=!0}if(L)if(f)for(d=0;d<x.length;d++)!1!==x[d].visible&&x[d].legendgroup===_&&j(x[d],P);else j(b,P);else j(b,P)}else if("toggleothers"===s){var I,O,z,D,R=!0;for(d=0;d<x.length;d++)if(I=x[d]===b,z=!0!==x[d].showlegend,!(I||z||(O=L&&x[d].legendgroup===_)||!0!==x[d].visible||i.traceIs(x[d],"notLegendIsolatable"))){R=!1;break}for(d=0;d<x.length;d++)if(!1!==x[d].visible&&!i.traceIs(x[d],"notLegendIsolatable"))switch(b.visible){case"legendonly":j(x[d],!0);break;case!0:D=!!R||"legendonly",I=x[d]===b,z=!0!==x[d].showlegend&&!x[d].legendgroup,O=I||L&&x[d].legendgroup===_,j(x[d],!(!O&&!z)||D)}}for(d=0;d<k.length;d++)if(g=k[d]){var F=g.constructUpdate(),B=Object.keys(F);for(m=0;m<B.length;m++)v=B[m],(w[v]=w[v]||[])[A[d]]=F[v]}for(y=Object.keys(w),d=0;d<y.length;d++)for(v=y[d],m=0;m<T.length;m++)w[v].hasOwnProperty(m)||(w[v][m]=void 0);i.call("_guiRestyle",e,w,T)}}}}function N(t,e,r){var n=T.indexOf(t),i=w[e];return i||(i=w[e]=[]),-1===T.indexOf(t)&&(T.push(t),n=T.length-1),i[n]=r,n}function j(t,e){if(!p.groupTitle||f){var r=t._fullInput;if(i.hasTransform(r,"groupby")){var a=k[r.index];if(!a){var o=i.getTransformIndices(r,"groupby"),s=o[o.length-1];a=n.keyedContainer(r,"transforms["+s+"].styles","target","value.visible"),k[r.index]=a}var l=a.get(t._group);void 0===l&&(l=!0),!1!==l&&a.set(t._group,e),A[r.index]=N(r.index,"visible",!1!==r.visible)}else{var c=!1!==r.visible&&e;N(r.index,"visible",c)}}}}},{"../../lib":498,"../../registry":633}],417:[function(t,e,r){"use strict";r.isGrouped=function(t){return-1!==(t.traceorder||"").indexOf("grouped")},r.isVertical=function(t){return"h"!==t.orientation},r.isReversed=function(t){return-1!==(t.traceorder||"").indexOf("reversed")}},{}],418:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"legend",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),draw:t("./draw"),style:t("./style")}},{"./attributes":411,"./defaults":413,"./draw":414,"./style":419}],419:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../lib"),o=a.strTranslate,s=t("../drawing"),l=t("../color"),c=t("../colorscale/helpers").extractOpts,u=t("../../traces/scatter/subtypes"),f=t("../../traces/pie/style_one"),h=t("../../traces/pie/helpers").castOption,p=t("./constants");function d(t,e){return(e?"radial":"horizontal")+(t?"":"reversed")}function m(t){var e=t[0].trace,r=e.contours,n=u.hasLines(e),i=u.hasMarkers(e),a=e.visible&&e.fill&&"none"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;"lines"===l?o=!0:n="none"===l||"heatmap"===l||r.showlines,"constraint"===r.type?a="="!==r._operation:"fill"!==l&&"heatmap"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}e.exports=function(t,e,r){var v=e._fullLayout;r||(r=v.legend);var y="constant"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return y?n:Math.min(i,r)};function T(t,a,o){var u=t[0].trace,f=u.marker||{},h=f.line||{},p=o?u.visible&&u.type===o:i.traceIs(u,"bar"),d=n.select(a).select("g.legendpoints").selectAll("path.legend"+o).data(p?[t]:[]);d.enter().append("path").classed("legend"+o,!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),d.exit().remove(),d.each((function(t){var i=n.select(this),a=t[0],o=w(a.mlw,f.line,5,2);i.style("stroke-width",o+"px");var p=a.mcc;if(!r._inHover&&"mc"in a){var d=c(f),m=d.mid;void 0===m&&(m=(d.max+d.min)/2),p=s.tryColorscale(f,"")(m)}var v=p||a.mc||f.color,y=f.pattern,x=y&&s.getPatternAttr(y.shape,0,"");if(x){var b=s.getPatternAttr(y.bgcolor,0,null),_=s.getPatternAttr(y.fgcolor,0,null),T=y.fgopacity,k=g(y.size,8,10),A=g(y.solidity,.5,1),M="legend-"+u.uid;i.call(s.pattern,"legend",e,M,x,k,A,p,y.fillmode,b,_,T)}else i.call(l.fill,v);o&&l.stroke(i,a.mlc||h.color)}))}function k(t,e,r){var o=t[0],s=o.trace,l=r?s.visible&&s.type===r:i.traceIs(s,r),c=n.select(e).select("g.legendpoints").selectAll("path.legend"+r).data(l?[t]:[]);if(c.enter().append("path").classed("legend"+r,!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),c.exit().remove(),c.size()){var u=(s.marker||{}).line,p=w(h(u.width,o.pts),u,5,2),d=a.minExtend(s,{marker:{line:{width:p}}});d.marker.line.color=u.color;var m=a.minExtend(o,{trace:d});f(c,m,d)}}t.each((function(t){var e=n.select(this),i=a.ensureSingle(e,"g","layers");i.style("opacity",t[0].trace.opacity);var s=r.valign,l=t[0].lineHeight,c=t[0].height;if("middle"!==s&&l&&c){var u={top:1,bottom:-1}[s]*(.5*(l-c+3));i.attr("transform",o(0,u))}else i.attr("transform",null);i.selectAll("g.legendfill").data([t]).enter().append("g").classed("legendfill",!0),i.selectAll("g.legendlines").data([t]).enter().append("g").classed("legendlines",!0);var f=i.selectAll("g.legendsymbols").data([t]);f.enter().append("g").classed("legendsymbols",!0),f.selectAll("g.legendpoints").data([t]).enter().append("g").classed("legendpoints",!0)})).each((function(t){var r,i=t[0].trace,o=[];if(i.visible)switch(i.type){case"histogram2d":case"heatmap":o=[["M-15,-2V4H15V-2Z"]],r=!0;break;case"choropleth":case"choroplethmapbox":o=[["M-6,-6V6H6V-6Z"]],r=!0;break;case"densitymapbox":o=[["M-6,0 a6,6 0 1,0 12,0 a 6,6 0 1,0 -12,0"]],r="radial";break;case"cone":o=[["M-6,2 A2,2 0 0,0 -6,6 V6L6,4Z"],["M-6,-6 A2,2 0 0,0 -6,-2 L6,-4Z"],["M-6,-2 A2,2 0 0,0 -6,2 L6,0Z"]],r=!1;break;case"streamtube":o=[["M-6,2 A2,2 0 0,0 -6,6 H6 A2,2 0 0,1 6,2 Z"],["M-6,-6 A2,2 0 0,0 -6,-2 H6 A2,2 0 0,1 6,-6 Z"],["M-6,-2 A2,2 0 0,0 -6,2 H6 A2,2 0 0,1 6,-2 Z"]],r=!1;break;case"surface":o=[["M-6,-6 A2,3 0 0,0 -6,0 H6 A2,3 0 0,1 6,-6 Z"],["M-6,1 A2,3 0 0,1 -6,6 H6 A2,3 0 0,0 6,0 Z"]],r=!0;break;case"mesh3d":o=[["M-6,6H0L-6,-6Z"],["M6,6H0L6,-6Z"],["M-6,-6H6L0,6Z"]],r=!1;break;case"volume":o=[["M-6,6H0L-6,-6Z"],["M6,6H0L6,-6Z"],["M-6,-6H6L0,6Z"]],r=!0;break;case"isosurface":o=[["M-6,6H0L-6,-6Z"],["M6,6H0L6,-6Z"],["M-6,-6 A12,24 0 0,0 6,-6 L0,6Z"]],r=!1}var u=n.select(this).select("g.legendpoints").selectAll("path.legend3dandfriends").data(o);u.enter().append("path").classed("legend3dandfriends",!0).attr("transform",_).style("stroke-miterlimit",1),u.exit().remove(),u.each((function(t,o){var u,f=n.select(this),h=c(i),p=h.colorscale,m=h.reversescale;if(p){if(!r){var g=p.length;u=0===o?p[m?g-1:0][1]:1===o?p[m?0:g-1][1]:p[Math.floor((g-1)/2)][1]}}else{var v=i.vertexcolor||i.facecolor||i.color;u=a.isArrayOrTypedArray(v)?v[o]||v[0]:v}f.attr("d",t[0]),u?f.call(l.fill,u):f.call((function(t){if(t.size()){var n="legendfill-"+i.uid;s.gradient(t,e,n,d(m,"radial"===r),p,"fill")}}))}))})).each((function(t){var e=t[0].trace,r="waterfall"===e.type;if(t[0]._distinct&&r){var i=t[0].trace[t[0].dir].marker;return t[0].mc=i.color,t[0].mlw=i.line.width,t[0].mlc=i.line.color,T(t,this,"waterfall")}var a=[];e.visible&&r&&(a=t[0].hasTotals?[["increasing","M-6,-6V6H0Z"],["totals","M6,6H0L-6,-6H-0Z"],["decreasing","M6,6V-6H0Z"]]:[["increasing","M-6,-6V6H6Z"],["decreasing","M6,6V-6H-6Z"]]);var o=n.select(this).select("g.legendpoints").selectAll("path.legendwaterfall").data(a);o.enter().append("path").classed("legendwaterfall",!0).attr("transform",_).style("stroke-miterlimit",1),o.exit().remove(),o.each((function(t){var r=n.select(this),i=e[t[0]].marker,a=w(void 0,i.line,5,2);r.attr("d",t[1]).style("stroke-width",a+"px").call(l.fill,i.color),a&&r.call(l.stroke,i.line.color)}))})).each((function(t){T(t,this,"funnel")})).each((function(t){T(t,this)})).each((function(t){var r=t[0].trace,o=n.select(this).select("g.legendpoints").selectAll("path.legendbox").data(r.visible&&i.traceIs(r,"box-violin")?[t]:[]);o.enter().append("path").classed("legendbox",!0).attr("d","M6,6H-6V-6H6Z").attr("transform",_),o.exit().remove(),o.each((function(){var t=n.select(this);if("all"!==r.boxpoints&&"all"!==r.points||0!==l.opacity(r.fillcolor)||0!==l.opacity((r.line||{}).color)){var i=w(void 0,r.line,5,2);t.style("stroke-width",i+"px").call(l.fill,r.fillcolor),i&&l.stroke(t,r.line.color)}else{var c=a.minExtend(r,{marker:{size:y?12:a.constrain(r.marker.size,2,16),sizeref:1,sizemin:1,sizemode:"diameter"}});o.call(s.pointStyle,c,e)}}))})).each((function(t){k(t,this,"funnelarea")})).each((function(t){k(t,this,"pie")})).each((function(t){var r,i,o=m(t),l=o.showFill,f=o.showLine,h=o.showGradientLine,p=o.showGradientFill,g=o.anyFill,v=o.anyLine,y=t[0],b=y.trace,_=c(b),T=_.colorscale,k=_.reversescale,A=u.hasMarkers(b)||!g?"M5,0":v?"M5,-2":"M5,-3",M=n.select(this),S=M.select(".legendfill").selectAll("path").data(l||p?[t]:[]);if(S.enter().append("path").classed("js-fill",!0),S.exit().remove(),S.attr("d",A+"h"+x+"v6h-"+x+"z").call((function(t){if(t.size())if(l)s.fillGroupStyle(t,e);else{var r="legendfill-"+b.uid;s.gradient(t,e,r,d(k),T,"fill")}})),f||h){var E=w(void 0,b.line,10,5);i=a.minExtend(b,{line:{width:E}}),r=[a.minExtend(y,{trace:i})]}var L=M.select(".legendlines").selectAll("path").data(f||h?[r]:[]);L.enter().append("path").classed("js-line",!0),L.exit().remove(),L.attr("d",A+(h?"l"+x+",0.0001":"h"+x)).call(f?s.lineGroupStyle:function(t){if(t.size()){var r="legendline-"+b.uid;s.lineGroupStyle(t),s.gradient(t,e,r,d(k),T,"stroke")}})})).each((function(t){var r,i,o=m(t),l=o.anyFill,c=o.anyLine,f=o.showLine,h=o.showMarker,p=t[0],d=p.trace,g=!h&&!c&&!l&&u.hasText(d);function v(t,e,r,n){var i=a.nestedProperty(d,t).get(),o=a.isArrayOrTypedArray(i)&&e?e(i):i;if(y&&o&&void 0!==n&&(o=n),r){if(o<r[0])return r[0];if(o>r[1])return r[1]}return o}function x(t){return p._distinct&&p.index&&t[p.index]?t[p.index]:t[0]}if(h||g||f){var b={},w={};if(h){b.mc=v("marker.color",x),b.mx=v("marker.symbol",x),b.mo=v("marker.opacity",a.mean,[.2,1]),b.mlc=v("marker.line.color",x),b.mlw=v("marker.line.width",a.mean,[0,5],2),w.marker={sizeref:1,sizemin:1,sizemode:"diameter"};var T=v("marker.size",a.mean,[2,16],12);b.ms=T,w.marker.size=T}f&&(w.line={width:v("line.width",x,[0,10],5)}),g&&(b.tx="Aa",b.tp=v("textposition",x),b.ts=10,b.tc=v("textfont.color",x),b.tf=v("textfont.family",x)),r=[a.minExtend(p,b)],(i=a.minExtend(d,w)).selectedpoints=null,i.texttemplate=null}var k=n.select(this).select("g.legendpoints"),A=k.selectAll("path.scatterpts").data(h?r:[]);A.enter().insert("path",":first-child").classed("scatterpts",!0).attr("transform",_),A.exit().remove(),A.call(s.pointStyle,i,e),h&&(r[0].mrc=3);var M=k.selectAll("g.pointtext").data(g?r:[]);M.enter().append("g").classed("pointtext",!0).append("text").attr("transform",_),M.exit().remove(),M.selectAll("text").call(s.textPointStyle,i,e)})).each((function(t){var e=t[0].trace,r=n.select(this).select("g.legendpoints").selectAll("path.legendcandle").data(e.visible&&"candlestick"===e.type?[t,t]:[]);r.enter().append("path").classed("legendcandle",!0).attr("d",(function(t,e){return e?"M-15,0H-8M-8,6V-6H8Z":"M15,0H8M8,-6V6H-8Z"})).attr("transform",_).style("stroke-miterlimit",1),r.exit().remove(),r.each((function(t,r){var i=n.select(this),a=e[r?"increasing":"decreasing"],o=w(void 0,a.line,5,2);i.style("stroke-width",o+"px").call(l.fill,a.fillcolor),o&&l.stroke(i,a.line.color)}))})).each((function(t){var e=t[0].trace,r=n.select(this).select("g.legendpoints").selectAll("path.legendohlc").data(e.visible&&"ohlc"===e.type?[t,t]:[]);r.enter().append("path").classed("legendohlc",!0).attr("d",(function(t,e){return e?"M-15,0H0M-8,-6V0":"M15,0H0M8,6V0"})).attr("transform",_).style("stroke-miterlimit",1),r.exit().remove(),r.each((function(t,r){var i=n.select(this),a=e[r?"increasing":"decreasing"],o=w(void 0,a.line,5,2);i.style("fill","none").call(s.dashLine,a.line.dash,o),o&&l.stroke(i,a.line.color)}))}))}},{"../../lib":498,"../../registry":633,"../../traces/pie/helpers":901,"../../traces/pie/style_one":907,"../../traces/scatter/subtypes":947,"../color":361,"../colorscale/helpers":372,"../drawing":383,"./constants":412,"@plotly/d3":58}],420:[function(t,e,r){"use strict";t("./constants");e.exports={editType:"modebar",orientation:{valType:"enumerated",values:["v","h"],dflt:"h",editType:"modebar"},bgcolor:{valType:"color",editType:"modebar"},color:{valType:"color",editType:"modebar"},activecolor:{valType:"color",editType:"modebar"},uirevision:{valType:"any",editType:"none"},add:{valType:"string",arrayOk:!0,dflt:"",editType:"modebar"},remove:{valType:"string",arrayOk:!0,dflt:"",editType:"modebar"}}},{"./constants":422}],421:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../plots/plots"),a=t("../../plots/cartesian/axis_ids"),o=t("../../fonts/ploticon"),s=t("../shapes/draw").eraseActiveShape,l=t("../../lib"),c=l._,u=e.exports={};function f(t,e){var r,i,o=e.currentTarget,s=o.getAttribute("data-attr"),l=o.getAttribute("data-val")||!0,c=t._fullLayout,u={},f=a.list(t,null,!0),h=c._cartesianSpikesEnabled;if("zoom"===s){var p,d="in"===l?.5:2,m=(1+d)/2,g=(1-d)/2;for(i=0;i<f.length;i++)if(!(r=f[i]).fixedrange)if(p=r._name,"auto"===l)u[p+".autorange"]=!0;else if("reset"===l){if(void 0===r._rangeInitial)u[p+".autorange"]=!0;else{var v=r._rangeInitial.slice();u[p+".range[0]"]=v[0],u[p+".range[1]"]=v[1]}void 0!==r._showSpikeInitial&&(u[p+".showspikes"]=r._showSpikeInitial,"on"!==h||r._showSpikeInitial||(h="off"))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],x=[m*y[0]+g*y[1],m*y[1]+g*y[0]];u[p+".range[0]"]=r.l2r(x[0]),u[p+".range[1]"]=r.l2r(x[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=c._isHoriz?"y":"x",o.setAttribute("data-val",l)),u[s]=l;c._cartesianSpikesEnabled=h,n.call("_guiRelayout",t,u)}function h(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),c=0;c<o.length;c++)s[o[c]+"."+l[1]]=a;var u="pan"===a?a:"zoom";s.dragmode=u,n.call("_guiRelayout",t,s)}function p(t,e){for(var r=e.currentTarget.getAttribute("data-attr"),i="resetLastSave"===r,a="resetDefault"===r,o=t._fullLayout,s=o._subplots.gl3d||[],l={},c=0;c<s.length;c++){var u,f=s[c],h=f+".camera",p=f+".aspectratio",d=f+".aspectmode",m=o[f]._scene;i?(l[h+".up"]=m.viewInitial.up,l[h+".eye"]=m.viewInitial.eye,l[h+".center"]=m.viewInitial.center,u=!0):a&&(l[h+".up"]=null,l[h+".eye"]=null,l[h+".center"]=null,u=!0),u&&(l[p+".x"]=m.viewInitial.aspectratio.x,l[p+".y"]=m.viewInitial.aspectratio.y,l[p+".z"]=m.viewInitial.aspectratio.z,l[d]=m.viewInitial.aspectmode)}n.call("_guiRelayout",t,l)}function d(t,e){var r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=["xaxis","yaxis","zaxis"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var c=0;c<a.length;c++){var u=a[c],f=i[u],h=u+".hovermode";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],m=u+"."+d+".showspikes";l[m]=!1,s[m]=f[d].showspikes}}r._previousVal=s}return l}function m(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var c=s[l],u=o[c];if("zoom"===i){var f=u.projection.scale,h="in"===a?2*f:.5*f;n.call("_guiRelayout",t,c+".projection.scale",h)}}"reset"===i&&x(t,"geo")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function v(t){var e=g(t);n.call("_guiRelayout",t,"hovermode",e)}function y(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u="in"===r?1.05*c:c/1.05;o[l+".zoom"]=u}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var f=c[u];a[s+"."+f]=l[f]}n.call("_guiRelayout",t,a)}u.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return c(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(c(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(c(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(c(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(c(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},u.sendDataToCloud={name:"sendDataToCloud",title:function(t){return c(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},u.editInChartStudio={name:"editInChartStudio",title:function(t){return c(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},u.zoom2d={name:"zoom2d",_cat:"zoom",title:function(t){return c(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:f},u.pan2d={name:"pan2d",_cat:"pan",title:function(t){return c(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:f},u.select2d={name:"select2d",_cat:"select",title:function(t){return c(t,"Box Select")},attr:"dragmode",val:"select",icon:o.selectbox,click:f},u.lasso2d={name:"lasso2d",_cat:"lasso",title:function(t){return c(t,"Lasso Select")},attr:"dragmode",val:"lasso",icon:o.lasso,click:f},u.drawclosedpath={name:"drawclosedpath",title:function(t){return c(t,"Draw closed freeform")},attr:"dragmode",val:"drawclosedpath",icon:o.drawclosedpath,click:f},u.drawopenpath={name:"drawopenpath",title:function(t){return c(t,"Draw open freeform")},attr:"dragmode",val:"drawopenpath",icon:o.drawopenpath,click:f},u.drawline={name:"drawline",title:function(t){return c(t,"Draw line")},attr:"dragmode",val:"drawline",icon:o.drawline,click:f},u.drawrect={name:"drawrect",title:function(t){return c(t,"Draw rectangle")},attr:"dragmode",val:"drawrect",icon:o.drawrect,click:f},u.drawcircle={name:"drawcircle",title:function(t){return c(t,"Draw circle")},attr:"dragmode",val:"drawcircle",icon:o.drawcircle,click:f},u.eraseshape={name:"eraseshape",title:function(t){return c(t,"Erase active shape")},icon:o.eraseshape,click:s},u.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},u.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},u.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return c(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},u.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return c(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},u.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return c(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},u.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return c(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},u.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return c(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},u.pan3d={name:"pan3d",_cat:"pan",title:function(t){return c(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},u.orbitRotation={name:"orbitRotation",title:function(t){return c(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},u.tableRotation={name:"tableRotation",title:function(t){return c(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},u.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return c(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},u.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return c(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},u.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},u.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:m},u.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return c(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(t){return c(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},u.toggleHover={name:"toggleHover",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call("_guiRelayout",t,r)}},u.resetViews={name:"resetViews",title:function(t){return c(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),f(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},u.toggleSpikelines={name:"toggleSpikelines",title:function(t){return c(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return c(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":477,"../../lib":498,"../../plots/cartesian/axis_ids":553,"../../plots/plots":614,"../../registry":633,"../shapes/draw":445}],422:[function(t,e,r){"use strict";var n=t("./buttons"),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{"./buttons":421}],423:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color"),a=t("../../plot_api/plot_template"),o=t("./attributes");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,"modebar");function l(t,e){return n.coerce(r,s,o,t,e)}l("orientation"),l("bgcolor",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l("color",i.addOpacity(c,.3)),l("activecolor",i.addOpacity(c,.7)),l("uirevision",e.uirevision),l("add"),l("remove")}},{"../../lib":498,"../../plot_api/plot_template":538,"../color":361,"./attributes":420}],424:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"modebar",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),manage:t("./manage")}},{"./attributes":420,"./defaults":423,"./manage":425}],425:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_ids"),i=t("../../traces/scatter/subtypes"),a=t("../../registry"),o=t("../fx/helpers").isUnifiedHover,s=t("./modebar"),l=t("./buttons"),c=t("./constants").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if("string"==typeof i){if(void 0===l[i])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if("string"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;"string"==typeof f&&(f=[f]);var h=e.modebar.remove;"string"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has("cartesian"),g=e._has("gl3d"),v=e._has("geo"),y=e._has("pie"),x=e._has("funnelarea"),b=e._has("gl2d"),_=e._has("ternary"),w=e._has("mapbox"),T=e._has("polar"),k=e._has("smith"),A=e._has("sankey"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=["toggleHover"],O=["resetViews"]):v?(P=["zoomInGeo","zoomOutGeo"],I=["hoverClosestGeo"],O=["resetGeo"]):g?(I=["hoverClosest3d"],O=["resetCameraDefault3d","resetCameraLastSave3d"]):w?(P=["zoomInMapbox","zoomOutMapbox"],I=["toggleHover"],O=["resetViewMapbox"]):b?I=["hoverClosestGl2d"]:y?I=["hoverClosestPie"]:A?(I=["hoverClosestCartesian","hoverCompareCartesian"],O=["resetViewSankey"]):I=["toggleHover"];m&&(I=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==O[0]&&(O=["resetScale2d"]));g?z=["zoom3d","pan3d","orbitRotation","tableRotation"]:(m||b)&&!M||_?z=["zoom2d","pan2d"]:w||v?z=["pan2d"]:T&&(z=["zoom2d"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e})(r)&&z.push("select2d","lasso2d");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&z.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),u?u.update(t,f):e._modeBar=s(t,f)}else u&&(u.destroy(),delete e._modeBar)}},{"../../plots/cartesian/axis_ids":553,"../../registry":633,"../../traces/scatter/subtypes":947,"../fx/helpers":397,"./buttons":421,"./constants":422,"./modebar":426}],426:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../fonts/ploticon"),s=t("../../version").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover ":"";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+"#"+i+" .modebar-group","background-color: "+o.bgcolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn .icon path","fill: "+o.color),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn:hover .icon path","fill: "+o.activecolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn.active .icon path","fill: "+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+" watermark"),"v"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error("must provide button 'name' in button config");if(-1!==e.buttonsNames.indexOf(n))throw new Error("button name '"+n+"' is taken");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement("div");return t.className="modebar-group",t},u.createButton=function(t){var e=this,r=document.createElement("a");r.setAttribute("rel","tooltip"),r.className="modebar-btn";var i=t.title;void 0===i?i=t.name:"function"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute("data-title",i),void 0!==t.attr&&r.setAttribute("data-attr",t.attr);var a=t.val;if(void 0!==a&&("function"==typeof a&&(a=a(this.graphInfo)),r.setAttribute("data-val",a)),"function"!=typeof t.click)throw new Error("must provide button 'click' function in button config");r.addEventListener("click",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute("data-toggle",t.toggle||!1),t.toggle&&n.select(r).classed("active",!0);var s=t.icon;return"function"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute("data-gravity",t.gravity||"n"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n="http://www.w3.org/2000/svg";if(t.path){(e=document.createElementNS(n,"svg")).setAttribute("viewBox",[0,0,t.width,r].join(" ")),e.setAttribute("class","icon");var a=document.createElementNS(n,"path");a.setAttribute("d",t.path),t.transform?a.setAttribute("transform",t.transform):void 0!==t.ascent&&a.setAttribute("transform","matrix(1 0 0 -1 0 "+t.ascent+")"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,"application/xml").childNodes[0]);return e.setAttribute("height","1em"),e.setAttribute("width","1em"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed("active",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly.js")+" (v"+s+")"),e.className="modebar-btn plotlyjsicon modebar-btn--logo",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(".modebar")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append("span").classed("badge-private float--left",!0).text("PRIVATE"),i}},{"../../fonts/ploticon":477,"../../lib":498,"../../version":1118,"@plotly/d3":58,"fast-isnumeric":185}],427:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=(0,t("../../plot_api/plot_template").templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});e.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},{"../../plot_api/plot_template":538,"../../plots/font_attributes":580,"../color/attributes":360}],428:[function(t,e,r){"use strict";e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},{}],429:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color"),a=t("../../plot_api/plot_template"),o=t("../../plots/array_container_defaults"),s=t("./attributes"),l=t("./constants");function c(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o("visible")){var l=o("step");"all"!==l&&(!a||"gregorian"===a||"month"!==l&&"year"!==l?o("stepmode"):e.stepmode="backward",o("count")),o("label")}}e.exports=function(t,e,r,u,f){var h=t.rangeselector||{},p=a.newContainer(e,"rangeselector");function d(t,e){return n.coerce(h,p,s,t,e)}if(d("visible",o(h,p,{name:"buttons",handleItemDefaults:c,calendar:f}).length>0)){var m=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,u);d("x",m[0]),d("y",m[1]),n.noneOrAll(t,e,["x","y"]),d("xanchor"),d("yanchor"),n.coerceFont(d,"font",r.font);var g=d("bgcolor");d("activecolor",i.contrast(g,l.lightAmount,l.darkAmount)),d("bordercolor"),d("borderwidth")}}},{"../../lib":498,"../../plot_api/plot_template":538,"../../plots/array_container_defaults":544,"../color":361,"./attributes":427,"./constants":428}],430:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../color"),s=t("../drawing"),l=t("../../lib"),c=l.strTranslate,u=t("../../lib/svg_text_utils"),f=t("../../plots/cartesian/axis_ids"),h=t("../../constants/alignment"),p=h.LINE_SPACING,d=h.FROM_TL,m=h.FROM_BR,g=t("./constants"),v=t("./get_update_object");function y(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,"rect","selector-rect",(function(t){t.attr("shape-rendering","crispEdges")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){l.ensureSingle(t,"text","selector-text",(function(t){t.attr("text-anchor","middle")})).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,e):t.label;return"all"===t.step?"all":t.count+t.step.charAt(0)}(r,n._fullLayout._meta)).call((function(t){u.convertToTspans(t,n)}))}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),y);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(f.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=v(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,v=r.borderwidth;e.each((function(){var t=n.select(this).select(".selector-text"),e=r.font.size*p,i=Math.max(e*u.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(".selector-rect"),i=t.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr("transform",c(v+f,v)),e.attr({x:0,y:0,width:d,height:h}),u.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var y=t._fullLayout._size,x=y.l+y.w*r.x,b=y.t+y.h*(1-r.y),_="left";l.isRightAnchor(r)&&(x-=f,_="right");l.isCenterAnchor(r)&&(x-=f/2,_="center");var w="top";l.isBottomAnchor(r)&&(b-=h,w="bottom");l.isMiddleAnchor(r)&&(b-=h/2,w="middle");f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+"-range-selector",{x:r.x,y:r.y,l:f*d[_],r:f*m[_],b:h*m[w],t:h*d[w]}),o.attr("transform",c(x,b))}(t,h,f,o._name,r)}))}},{"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axis_ids":553,"../../plots/plots":614,"../../registry":633,"../color":361,"../drawing":383,"./constants":428,"./get_update_object":431,"@plotly/d3":58}],431:[function(t,e,r){"use strict";var n=t("d3-time"),i=t("../../lib").titleCase;e.exports=function(t,e){var r=t._name,a={};if("all"===e.step)a[r+".autorange"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n["utc"+i(s)],c=e.count;switch(e.stepmode){case"backward":r=t.l2r(+l.offset(o,-c));break;case"todate":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}var f=a[1];return[r,f]}(t,e);a[r+".range[0]"]=o[0],a[r+".range[1]"]=o[1]}return a}},{"../../lib":498,"d3-time":116}],432:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),draw:t("./draw")}},{"./attributes":427,"./defaults":429,"./draw":430}],433:[function(t,e,r){"use strict";var n=t("../color/attributes");e.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 0}},range:{valType:"info_array",items:[{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}}],editType:"calc",impliedEdits:{autorange:!1}},thickness:{valType:"number",dflt:.15,min:0,max:1,editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"}},{"../color/attributes":360}],434:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_ids").list,i=t("../../plots/cartesian/autorange").getAutoRange,a=t("./constants");e.exports=function(t){for(var e=n(t,"x",!0),r=0;r<e.length;r++){var o=e[r],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},{"../../plots/cartesian/autorange":548,"../../plots/cartesian/axis_ids":553,"./constants":435}],435:[function(t,e,r){"use strict";e.exports={name:"rangeslider",containerClassName:"rangeslider-container",bgClassName:"rangeslider-bg",rangePlotClassName:"rangeslider-rangeplot",maskMinClassName:"rangeslider-mask-min",maskMaxClassName:"rangeslider-mask-max",slideBoxClassName:"rangeslider-slidebox",grabberMinClassName:"rangeslider-grabber-min",grabAreaMinClassName:"rangeslider-grabarea-min",handleMinClassName:"rangeslider-handle-min",grabberMaxClassName:"rangeslider-grabber-max",grabAreaMaxClassName:"rangeslider-grabarea-max",handleMaxClassName:"rangeslider-handle-max",maskMinOppAxisClassName:"rangeslider-mask-min-opp-axis",maskMaxOppAxisClassName:"rangeslider-mask-max-opp-axis",maskColor:"rgba(0,0,0,0.4)",maskOppAxisColor:"rgba(0,0,0,0.2)",slideBoxFill:"transparent",slideBoxCursor:"ew-resize",grabAreaFill:"transparent",grabAreaCursor:"col-resize",grabAreaWidth:10,handleWidth:4,handleRadius:1,handleStrokeWidth:1,extraPad:15}},{}],436:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/plot_template"),a=t("../../plots/cartesian/axis_ids"),o=t("./attributes"),s=t("./oppaxis_attributes");e.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,f,h=l.rangeslider,p=i.newContainer(c,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!c.isValidRange(h.range)),_("range");var d=e._subplots;if(d)for(var m=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),g=n.simpleMap(m,a.id2name),v=0;v<g.length;v++){var y=g[v];u=h[y]||{},f=i.newContainer(p,y,"yaxis");var x,b=e[y];u.range&&b.isValidRange(u.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(u,f,s,t,e)}}},{"../../lib":498,"../../plot_api/plot_template":538,"../../plots/cartesian/axis_ids":553,"./attributes":433,"./oppaxis_attributes":440}],437:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=o.strTranslate,l=t("../drawing"),c=t("../color"),u=t("../titles"),f=t("../../plots/cartesian"),h=t("../../plots/cartesian/axis_ids"),p=t("../dragelement"),d=t("../../lib/setcursor"),m=t("./constants");function g(t,e,r,n){var i=o.ensureSingle(t,"rect",m.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,u=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),fill:n.bgcolor,stroke:n.bordercolor,"stroke-width":u})}function v(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function y(t,e,r,i){var s,c=e.calcdata,u=t.selectAll("g."+m.rangePlotClassName).data(r._subplotsWith,o.identity);u.enter().append("g").attr("class",(function(t){return m.rangePlotClassName+" "+t})).call(l.setClipUrl,i._clipId,e),u.order(),u.exit().remove(),u.each((function(t,o){var l=n.select(this),u=0===o,p=h.getFromId(e,t,"y"),d=p._name,m=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:"match"!==m.rangemode?m.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var v=g._fullLayout.xaxis,y=g._fullLayout[d];v.clearCalc(),v.setScale(),y.clearCalc(),y.setScale();var x={id:t,plotgroup:l,xaxis:v,yaxis:y,isRangePlot:!0};u?s=x:(x.mainplot="xy",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&&r.push(i)}return r}(c,t))}))}function x(t,e,r,n,i){(o.ensureSingle(t,"rect",m.maskMinClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})).attr("height",n._height).call(c.fill,m.maskColor),o.ensureSingle(t,"rect",m.maskMaxClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("height",n._height).call(c.fill,m.maskColor),"match"!==i.rangemode)&&(o.ensureSingle(t,"rect",m.maskMinOppAxisClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",n._width).call(c.fill,m.maskOppAxisColor),o.ensureSingle(t,"rect",m.maskMaxOppAxisClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",n._width).style("border-top",m.maskOppBorder).call(c.fill,m.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,"rect",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,"shape-rendering":"crispEdges"})})).attr({height:n._height,fill:m.slideBoxFill})}function _(t,e,r,n){var i=o.ensureSingle(t,"g",m.grabberMinClassName),a=o.ensureSingle(t,"g",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,"stroke-width":m.handleStrokeWidth,"shape-rendering":"crispEdges"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",m.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,"rect",m.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 0:m.grabAreaCursor};o.ensureSingle(i,"rect",m.grabAreaMinClassName,(function(t){t.attr(u)})).attr("height",n._height),o.ensureSingle(a,"rect",m.grabAreaMaxClassName,(function(t){t.attr(u)})).attr("height",n._height)}e.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][m.name];l._clipId=l._id+"-"+e._uid}var c=e._infolayer.selectAll("g."+m.containerClassName).data(r,(function(t){return t._name}));c.exit().each((function(t){var r=t[m.name];e._topdefs.select("#"+r._clipId).remove()})).remove(),0!==r.length&&(c.enter().append("g").classed(m.containerClassName,!0).attr("pointer-events","all"),c.each((function(r){var a=n.select(this),l=r[m.name],c=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange("rangeslider.range");var A=e._size,M=r.domain;l._width=A.w*(M[1]-M[0]);var S=Math.round(A.l+A.w*M[0]),E=Math.round(A.t+A.h*(1-r._counterDomainMin)+("bottom"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr("transform",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var I=r.locateBreaks(L,C);if(I.length){var O,z,D=0;for(O=0;O<I.length;O++)D+=(z=I[O]).max-z.min;var R=l._width/(C-L-D),F=[-R*L];for(O=0;O<I.length;O++)z=I[O],F.push(F[F.length-1]-R*(z.max-z.min));for(l.d2p=function(t){for(var e=F[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=F[r+1];else if(t<n.min)break}return e+R*t},O=0;O<I.length;O++)(z=I[O]).pmin=l.d2p(z.min),z.pmax=l.d2p(z.max);l.p2d=function(t){for(var e=F[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.pmax)e=F[r+1];else if(t<n.pmin)break}return(t-e)/R}}}if("match"!==f.rangemode){var B=c.r2l(f.range[0]),N=c.r2l(f.range[1])-B;l.d2pOppAxis=function(t){return(t-B)/N*l._height}}a.call(g,t,r,l).call(v,t,r,l).call(y,t,r,l).call(x,t,r,l,f).call(b,t,r,l).call(_,t,r,l),function(t,e,r,a){if(e._context.staticPlot)return;var s=t.select("rect."+m.slideBoxClassName).node(),l=t.select("rect."+m.grabAreaMinClassName).node(),c=t.select("rect."+m.grabAreaMaxClassName).node();function u(){var u=n.event,f=u.target,h=u.clientX||u.touches[0].clientX,m=h-t.node().getBoundingClientRect().left,g=a.d2p(r._rl[0]),v=a.d2p(r._rl[1]),y=p.coverSlip();function x(t){var u,p,x,b=+(t.clientX||t.touches[0].clientX)-h;switch(f){case s:x="ew-resize",u=g+b,p=v+b;break;case l:x="col-resize",u=g+b,p=v;break;case c:x="col-resize",u=g,p=v+b;break;default:x="ew-resize",u=m,p=m+b}if(p<u){var _=p;p=u,u=_}a._pixelMin=u,a._pixelMax=p,d(n.select(y),x),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call("_guiRelayout",e,r._name+".range",[s,l])}))}(0,e,r,a)}function b(){y.removeEventListener("mousemove",x),y.removeEventListener("mouseup",b),this.removeEventListener("touchmove",x),this.removeEventListener("touchend",b),o.removeElement(y)}this.addEventListener("touchmove",x),this.addEventListener("touchend",b),y.addEventListener("mousemove",x),y.addEventListener("mouseup",b)}t.on("mousedown",u),t.on("touchstart",u)}(a,t,r,l),function(t,e,r,n,i,a){var l=m.handleWidth/2;function c(t){return o.constrain(t,0,n._width)}function u(t){return o.constrain(t,0,n._height)}function f(t){return o.constrain(t,-l,n._width+l)}var h=c(n.d2p(r._rl[0])),p=c(n.d2p(r._rl[1]));if(t.select("rect."+m.slideBoxClassName).attr("x",h).attr("width",p-h),t.select("rect."+m.maskMinClassName).attr("width",h),t.select("rect."+m.maskMaxClassName).attr("x",p).attr("width",n._width-p),"match"!==a.rangemode){var d=n._height-u(n.d2pOppAxis(i._rl[1])),g=n._height-u(n.d2pOppAxis(i._rl[0]));t.select("rect."+m.maskMinOppAxisClassName).attr("x",h).attr("height",d).attr("width",p-h),t.select("rect."+m.maskMaxOppAxisClassName).attr("x",h).attr("y",g).attr("height",n._height-g).attr("width",p-h),t.select("rect."+m.slideBoxClassName).attr("y",d).attr("height",g-d)}var v=Math.round(f(h-l))-.5,y=Math.round(f(p-l))+.5;t.select("g."+m.grabberMinClassName).attr("transform",s(v,.5)),t.select("g."+m.grabberMaxClassName).attr("transform",s(y,.5))}(a,0,r,l,c,f),"bottom"===r.side&&u.draw(t,r._id+"title",{propContainer:r,propName:r._name+".title",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,"text-anchor":"middle"}})})))}},{"../../lib":498,"../../lib/setcursor":519,"../../plots/cartesian":563,"../../plots/cartesian/axis_ids":553,"../../plots/plots":614,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"../titles":459,"./constants":435,"@plotly/d3":58}],438:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_ids"),i=t("../../lib/svg_text_utils"),a=t("./constants"),o=t("../../constants/alignment").LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}r.isVisible=l,r.makeData=function(t){var e=n.list({_fullLayout:t},"x",!0),r=t.margin,i=[];if(!t._has("gl2d"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(t.height-r.b-r.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2)}}t._rangeSliderData=i},r.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;"bottom"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o));return{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},{"../../constants/alignment":466,"../../lib/svg_text_utils":524,"../../plots/cartesian/axis_ids":553,"./constants":435}],439:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./oppaxis_attributes"),o=t("./helpers");e.exports={moduleType:"component",name:"rangeslider",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),calcAutorange:t("./calc_autorange"),draw:t("./draw"),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},{"../../lib":498,"./attributes":433,"./calc_autorange":434,"./defaults":436,"./draw":437,"./helpers":438,"./oppaxis_attributes":440}],440:[function(t,e,r){"use strict";e.exports={_isSubplotObj:!0,rangemode:{valType:"enumerated",values:["auto","fixed","match"],dflt:"match",editType:"calc"},range:{valType:"info_array",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},editType:"calc"}},{}],441:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../traces/scatter/attributes").line,a=t("../drawing/attributes").dash,o=t("../../lib/extend").extendFlat,s=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=s("shape",{visible:{valType:"boolean",dflt:!0,editType:"calc+arraydraw"},type:{valType:"enumerated",values:["circle","rect","path","line"],editType:"calc+arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},xref:o({},n.xref,{}),xsizemode:{valType:"enumerated",values:["scaled","pixel"],dflt:"scaled",editType:"calc+arraydraw"},xanchor:{valType:"any",editType:"calc+arraydraw"},x0:{valType:"any",editType:"calc+arraydraw"},x1:{valType:"any",editType:"calc+arraydraw"},yref:o({},n.yref,{}),ysizemode:{valType:"enumerated",values:["scaled","pixel"],dflt:"scaled",editType:"calc+arraydraw"},yanchor:{valType:"any",editType:"calc+arraydraw"},y0:{valType:"any",editType:"calc+arraydraw"},y1:{valType:"any",editType:"calc+arraydraw"},path:{valType:"string",editType:"calc+arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},line:{color:o({},i.color,{editType:"arraydraw"}),width:o({},i.width,{editType:"calc+arraydraw"}),dash:o({},a,{editType:"arraydraw"}),editType:"calc+arraydraw"},fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw"},fillrule:{valType:"enumerated",values:["evenodd","nonzero"],dflt:"evenodd",editType:"arraydraw"},editable:{valType:"boolean",dflt:!1,editType:"calc+arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":467,"../../lib/extend":488,"../../plot_api/plot_template":538,"../../traces/scatter/attributes":922,"../annotations/attributes":344,"../drawing/attributes":382}],442:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("./constants"),o=t("./helpers");function s(t){return c(t.line.width,t.xsizemode,t.x0,t.x1,t.path,!1)}function l(t){return c(t.line.width,t.ysizemode,t.y0,t.y1,t.path,!0)}function c(t,e,r,i,s,l){var c=t/2,u=l;if("pixel"===e){var f=s?o.extractPathCoords(s,l?a.paramIsY:a.paramIsX):[r,i],h=n.aggNums(Math.max,null,f),p=n.aggNums(Math.min,null,f),d=p<0?Math.abs(p)+c:c,m=h>0?h+c:c;return{ppad:c,ppadplus:u?d:m,ppadminus:u?m:d}}return{ppad:c}}function u(t,e,r,n,i){var s="category"===t.type||"multicategory"===t.type?t.r2c:t.d2c;if(void 0!==e)return[s(e),s(r)];if(n){var l,c,u,f,h=1/0,p=-1/0,d=n.match(a.segmentRE);for("date"===t.type&&(s=o.decodeDate(s)),l=0;l<d.length;l++)void 0!==(c=i[d[l].charAt(0)].drawn)&&(!(u=d[l].substr(1).match(a.paramRE))||u.length<c||((f=s(u[c]))<h&&(h=f),f>p&&(p=f)));return p>=h?[h,p]:void 0}}e.exports=function(t){var e=t._fullLayout,r=n.filterVisible(e.shapes);if(r.length&&t._fullData.length)for(var o=0;o<r.length;o++){var c,f,h=r[o];h._extremes={};var p=i.getRefType(h.xref),d=i.getRefType(h.yref);if("paper"!==h.xref&&"domain"!==p){var m="pixel"===h.xsizemode?h.xanchor:h.x0,g="pixel"===h.xsizemode?h.xanchor:h.x1;(f=u(c=i.getFromId(t,h.xref),m,g,h.path,a.paramIsX))&&(h._extremes[c._id]=i.findExtremes(c,f,s(h)))}if("paper"!==h.yref&&"domain"!==d){var v="pixel"===h.ysizemode?h.yanchor:h.y0,y="pixel"===h.ysizemode?h.yanchor:h.y1;(f=u(c=i.getFromId(t,h.yref),v,y,h.path,a.paramIsY))&&(h._extremes[c._id]=i.findExtremes(c,f,l(h)))}}}},{"../../lib":498,"../../plots/cartesian/axes":549,"./constants":443,"./helpers":452}],443:[function(t,e,r){"use strict";e.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},{}],444:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./attributes"),s=t("./helpers");function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}if(a("visible")){var l=a("path"),c=a("type",l?"path":"rect");"path"!==e.type&&delete e.path,a("editable"),a("layer"),a("opacity"),a("fillcolor"),a("fillrule"),a("line.width")&&(a("line.color"),a("line.dash"));for(var u=a("xsizemode"),f=a("ysizemode"),h=["x","y"],p=0;p<2;p++){var d,m,g,v=h[p],y=v+"anchor",x="x"===v?u:f,b={_fullLayout:r},_=i.coerceRef(t,e,b,v,void 0,"paper");if("range"===i.getRefType(_)?((d=i.getFromId(b,_))._shapeIndices.push(e._index),g=s.rangeToShapePosition(d),m=s.shapePositionToRange(d)):m=g=n.identity,"path"!==c){var w=v+"0",T=v+"1",k=t[w],A=t[T];t[w]=m(t[w],!0),t[T]=m(t[T],!0),"pixel"===x?(a(w,0),a(T,10)):(i.coercePosition(e,b,a,_,w,.25),i.coercePosition(e,b,a,_,T,.75)),e[w]=g(e[w]),e[T]=g(e[T]),t[w]=k,t[T]=A}if("pixel"===x){var M=t[y];t[y]=m(t[y],!0),i.coercePosition(e,b,a,_,y,.25),e[y]=g(e[y]),t[y]=M}}"path"===c?a("path"):n.noneOrAll(t,e,["x0","x1","y0","y1"])}}e.exports=function(t,e){a(t,e,{name:"shapes",handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"./attributes":441,"./helpers":452}],445:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("./draw_newshape/helpers").readPaths,s=t("./draw_newshape/display_outlines"),l=t("../../plots/cartesian/handle_outline").clearOutlineControllers,c=t("../color"),u=t("../drawing"),f=t("../../plot_api/plot_template").arrayEditor,h=t("../dragelement"),p=t("../../lib/setcursor"),d=t("./constants"),m=t("./helpers");function g(t){var e=t._fullLayout;for(var r in e._shapeUpperLayer.selectAll("path").remove(),e._shapeLowerLayer.selectAll("path").remove(),e._plots){var n=e._plots[r].shapelayer;n&&n.selectAll("path").remove()}for(var i=0;i<e.shapes.length;i++)e.shapes[i].visible&&x(t,i)}function v(t){return!!t._fullLayout._drawing}function y(t){return!t._context.edits.shapePosition}function x(t,e){t._fullLayout._paperdiv.selectAll('.shapelayer [data-index="'+e+'"]').remove();var r=m.makeOptionsAndPlotinfo(t,e),l=r.options,x=r.plotinfo;if(l._input&&!1!==l.visible)if("below"!==l.layer)k(t._fullLayout._shapeUpperLayer);else if("paper"===l.xref||"paper"===l.yref)k(t._fullLayout._shapeLowerLayer);else{if(x._hadPlotinfo)k((x.mainplotinfo||x).shapelayer);else k(t._fullLayout._shapeLowerLayer)}function k(r){var k=_(t,l),A={"data-index":e,"fill-rule":l.fillrule,d:k},M=l.opacity,S=l.fillcolor,E=l.line.width?l.line.color:"rgba(0,0,0,0)",L=l.line.width,C=l.line.dash;L||!0!==l.editable||(L=5,C="solid");var P="Z"!==k[k.length-1],I=y(t)&&l.editable&&t._fullLayout._activeShapeIndex===e;I&&(S=P?"rgba(0,0,0,0)":t._fullLayout.activeshape.fillcolor,M=t._fullLayout.activeshape.opacity);var O,z=r.append("path").attr(A).style("opacity",M).call(c.stroke,E).call(c.fill,S).call(u.dashLine,C,L);if(b(z,t,l),(I||t._context.edits.shapePosition)&&(O=f(t.layout,"shapes",l)),I){z.style({cursor:"move"});var D={element:z.node(),plotinfo:x,gd:t,editHelpers:O,isActiveShape:!0},R=o(k,t);s(R,z,D)}else t._context.edits.shapePosition?function(t,e,r,o,s,l){var c,f,g,y,x,T,k,A,M,S,E,L,C,P,I,O,z="pixel"===r.xsizemode,D="pixel"===r.ysizemode,R="line"===r.type,F="path"===r.type,B=l.modifyItem,N=a.getFromId(t,r.xref),j=a.getRefType(r.xref),U=a.getFromId(t,r.yref),V=a.getRefType(r.yref),H=m.getDataToPixel(t,N,!1,j),q=m.getDataToPixel(t,U,!0,V),G=m.getPixelToData(t,N,!1,j),Y=m.getPixelToData(t,U,!0,V),W=R?function(){var t=Math.max(r.line.width,10),n=s.append("g").attr("data-index",o);n.append("path").attr("d",e.attr("d")).style({cursor:"move","stroke-width":t,"stroke-opacity":"0"});var i={"fill-opacity":"0"},a=Math.max(t/2,10);return n.append("circle").attr({"data-line-point":"start-point",cx:z?H(r.xanchor)+r.x0:H(r.x0),cy:D?q(r.yanchor)-r.y0:q(r.y0),r:a}).style(i).classed("cursor-grab",!0),n.append("circle").attr({"data-line-point":"end-point",cx:z?H(r.xanchor)+r.x1:H(r.x1),cy:D?q(r.yanchor)-r.y1:q(r.y1),r:a}).style(i).classed("cursor-grab",!0),n}():e,X={element:W.node(),gd:t,prepFn:function(n){if(v(t))return;z&&(x=H(r.xanchor));D&&(T=q(r.yanchor));"path"===r.type?I=r.path:(c=z?r.x0:H(r.x0),f=D?r.y0:q(r.y0),g=z?r.x1:H(r.x1),y=D?r.y1:q(r.y1));c<g?(M=c,C="x0",S=g,P="x1"):(M=g,C="x1",S=c,P="x0");!D&&f<y||D&&f>y?(k=f,E="y0",A=y,L="y1"):(k=y,E="y1",A=f,L="y0");Z(n),Q(s,r),function(t,e,r){var n=e.xref,i=e.yref,o=a.getFromId(r,n),s=a.getFromId(r,i),l="";"paper"===n||o.autorange||(l+=n);"paper"===i||s.autorange||(l+=i);u.setClipUrl(t,l?"clip"+r._fullLayout._uid+l:null,r)}(e,r,t),X.moveFn="move"===O?J:K,X.altKey=n.altKey},doneFn:function(){if(v(t))return;p(e),$(s),b(e,t,r),n.call("_guiRelayout",t,l.getUpdateObj())},clickFn:function(){if(v(t))return;$(s)}};function Z(r){if(v(t))O=null;else if(R)O="path"===r.target.tagName?"move":"start-point"===r.target.attributes["data-line-point"].value?"resize-over-start-point":"resize-over-end-point";else{var n=X.element.getBoundingClientRect(),i=n.right-n.left,a=n.bottom-n.top,o=r.clientX-n.left,s=r.clientY-n.top,l=!F&&i>10&&a>10&&!r.shiftKey?h.getCursor(o/i,1-s/a):"move";p(e,l),O=l.split("-")[0]}}function J(n,i){if("path"===r.type){var a=function(t){return t},o=a,l=a;z?B("xanchor",r.xanchor=G(x+n)):(o=function(t){return G(H(t)+n)},N&&"date"===N.type&&(o=m.encodeDate(o))),D?B("yanchor",r.yanchor=Y(T+i)):(l=function(t){return Y(q(t)+i)},U&&"date"===U.type&&(l=m.encodeDate(l))),B("path",r.path=w(I,o,l))}else z?B("xanchor",r.xanchor=G(x+n)):(B("x0",r.x0=G(c+n)),B("x1",r.x1=G(g+n))),D?B("yanchor",r.yanchor=Y(T+i)):(B("y0",r.y0=Y(f+i)),B("y1",r.y1=Y(y+i)));e.attr("d",_(t,r)),Q(s,r)}function K(n,i){if(F){var a=function(t){return t},o=a,l=a;z?B("xanchor",r.xanchor=G(x+n)):(o=function(t){return G(H(t)+n)},N&&"date"===N.type&&(o=m.encodeDate(o))),D?B("yanchor",r.yanchor=Y(T+i)):(l=function(t){return Y(q(t)+i)},U&&"date"===U.type&&(l=m.encodeDate(l))),B("path",r.path=w(I,o,l))}else if(R){if("resize-over-start-point"===O){var u=c+n,h=D?f-i:f+i;B("x0",r.x0=z?u:G(u)),B("y0",r.y0=D?h:Y(h))}else if("resize-over-end-point"===O){var p=g+n,d=D?y-i:y+i;B("x1",r.x1=z?p:G(p)),B("y1",r.y1=D?d:Y(d))}}else{var v=function(t){return-1!==O.indexOf(t)},b=v("n"),j=v("s"),V=v("w"),W=v("e"),X=b?k+i:k,Z=j?A+i:A,J=V?M+n:M,K=W?S+n:S;D&&(b&&(X=k-i),j&&(Z=A-i)),(!D&&Z-X>10||D&&X-Z>10)&&(B(E,r[E]=D?X:Y(X)),B(L,r[L]=D?Z:Y(Z))),K-J>10&&(B(C,r[C]=z?J:G(J)),B(P,r[P]=z?K:G(K)))}e.attr("d",_(t,r)),Q(s,r)}function Q(t,e){(z||D)&&function(){var r="path"!==e.type,n=t.selectAll(".visual-cue").data([0]);n.enter().append("path").attr({fill:"#fff","fill-rule":"evenodd",stroke:"#000","stroke-width":1}).classed("visual-cue",!0);var a=H(z?e.xanchor:i.midRange(r?[e.x0,e.x1]:m.extractPathCoords(e.path,d.paramIsX))),o=q(D?e.yanchor:i.midRange(r?[e.y0,e.y1]:m.extractPathCoords(e.path,d.paramIsY)));if(a=m.roundPositionForSharpStrokeRendering(a,1),o=m.roundPositionForSharpStrokeRendering(o,1),z&&D){var s="M"+(a-1-1)+","+(o-1-1)+"h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z";n.attr("d",s)}else if(z){var l="M"+(a-1-1)+","+(o-9-1)+"v18 h2 v-18 Z";n.attr("d",l)}else{var c="M"+(a-9-1)+","+(o-1-1)+"h18 v2 h-18 Z";n.attr("d",c)}}()}function $(t){t.selectAll(".visual-cue").remove()}h.init(X),W.node().onmousemove=Z}(t,z,l,e,r,O):!0===l.editable&&z.style("pointer-events",P||c.opacity(S)*M<=.5?"stroke":"all");z.node().addEventListener("click",(function(){return function(t,e){if(!y(t))return;var r=+e.node().getAttribute("data-index");if(r>=0){if(r===t._fullLayout._activeShapeIndex)return void T(t);t._fullLayout._activeShapeIndex=r,t._fullLayout._deactivateShape=T,g(t)}}(t,z)}))}}function b(t,e,r){var n=(r.xref+r.yref).replace(/paper/g,"").replace(/[xyz][1-9]* *domain/g,"");u.setClipUrl(t,n?"clip"+e._fullLayout._uid+n:null,e)}function _(t,e){var r,n,o,s,l,c,u,f,h=e.type,p=a.getRefType(e.xref),g=a.getRefType(e.yref),v=a.getFromId(t,e.xref),y=a.getFromId(t,e.yref),x=t._fullLayout._size;if(v?"domain"===p?n=function(t){return v._offset+v._length*t}:(r=m.shapePositionToRange(v),n=function(t){return v._offset+v.r2p(r(t,!0))}):n=function(t){return x.l+x.w*t},y?"domain"===g?s=function(t){return y._offset+y._length*(1-t)}:(o=m.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.t+x.h*(1-t)},"path"===h)return v&&"date"===v.type&&(n=m.decodeDate(n)),y&&"date"===y.type&&(s=m.decodeDate(s)),function(t,e,r){var n=t.path,a=t.xsizemode,o=t.ysizemode,s=t.xanchor,l=t.yanchor;return n.replace(d.segmentRE,(function(t){var n=0,c=t.charAt(0),u=d.paramIsX[c],f=d.paramIsY[c],h=d.numParams[c],p=t.substr(1).replace(d.paramRE,(function(t){return u[n]?t="pixel"===a?e(s)+Number(t):e(t):f[n]&&(t="pixel"===o?r(l)-Number(t):r(t)),++n>h&&(t="X"),t}));return n>h&&(p=p.replace(/[\s,]*X.*/,""),i.log("Ignoring extra params in segment "+t)),c+p}))}(e,n,s);if("pixel"===e.xsizemode){var b=n(e.xanchor);l=b+e.x0,c=b+e.x1}else l=n(e.x0),c=n(e.x1);if("pixel"===e.ysizemode){var _=s(e.yanchor);u=_-e.y0,f=_-e.y1}else u=s(e.y0),f=s(e.y1);if("line"===h)return"M"+l+","+u+"L"+c+","+f;if("rect"===h)return"M"+l+","+u+"H"+c+"V"+f+"H"+l+"Z";var w=(l+c)/2,T=(u+f)/2,k=Math.abs(w-l),A=Math.abs(T-u),M="A"+k+","+A,S=w+k+","+T;return"M"+S+M+" 0 1,1 "+(w+","+(T-A))+M+" 0 0,1 "+S+"Z"}function w(t,e,r){return t.replace(d.segmentRE,(function(t){var n=0,i=t.charAt(0),a=d.paramIsX[i],o=d.paramIsY[i],s=d.numParams[i];return i+t.substr(1).replace(d.paramRE,(function(t){return n>=s||(a[n]?t=e(t):o[n]&&(t=r(t)),n++),t}))}))}function T(t){y(t)&&(t._fullLayout._activeShapeIndex>=0&&(l(t),delete t._fullLayout._activeShapeIndex,g(t)))}e.exports={draw:g,drawOne:x,eraseActiveShape:function(t){if(!y(t))return;l(t);var e=t._fullLayout._activeShapeIndex,r=(t.layout||{}).shapes||[];if(e<r.length){for(var i=[],a=0;a<r.length;a++)a!==e&&i.push(r[a]);delete t._fullLayout._activeShapeIndex,n.call("_guiRelayout",t,{shapes:i})}}}},{"../../lib":498,"../../lib/setcursor":519,"../../plot_api/plot_template":538,"../../plots/cartesian/axes":549,"../../plots/cartesian/handle_outline":560,"../../registry":633,"../color":361,"../dragelement":380,"../drawing":383,"./constants":443,"./draw_newshape/display_outlines":449,"./draw_newshape/helpers":450,"./helpers":452}],446:[function(t,e,r){"use strict";var n=t("../../drawing/attributes").dash,i=t("../../../lib/extend").extendFlat;e.exports={newshape:{line:{color:{valType:"color",editType:"none"},width:{valType:"number",min:0,dflt:4,editType:"none"},dash:i({},n,{dflt:"solid",editType:"none"}),editType:"none"},fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"none"},fillrule:{valType:"enumerated",values:["evenodd","nonzero"],dflt:"evenodd",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"none"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"none"},drawdirection:{valType:"enumerated",values:["ortho","horizontal","vertical","diagonal"],dflt:"diagonal",editType:"none"},editType:"none"},activeshape:{fillcolor:{valType:"color",dflt:"rgb(255,0,255)",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:.5,editType:"none"},editType:"none"}}},{"../../../lib/extend":488,"../../drawing/attributes":382}],447:[function(t,e,r){"use strict";e.exports={CIRCLE_SIDES:32,i000:0,i090:8,i180:16,i270:24,cos45:Math.cos(Math.PI/4),sin45:Math.sin(Math.PI/4),SQRT2:Math.sqrt(2)}},{}],448:[function(t,e,r){"use strict";var n=t("../../color");e.exports=function(t,e,r){if(r("newshape.drawdirection"),r("newshape.layer"),r("newshape.fillcolor"),r("newshape.fillrule"),r("newshape.opacity"),r("newshape.line.width")){var i=(t||{}).plot_bgcolor||"#FFF";r("newshape.line.color",n.contrast(i)),r("newshape.line.dash")}r("activeshape.fillcolor"),r("activeshape.opacity")}},{"../../color":361}],449:[function(t,e,r){"use strict";var n=t("../../dragelement"),i=t("../../dragelement/helpers").drawMode,a=t("../../../registry"),o=t("./constants"),s=o.i000,l=o.i090,c=o.i180,u=o.i270,f=t("../../../plots/cartesian/handle_outline").clearOutlineControllers,h=t("./helpers"),p=h.pointsShapeRectangle,d=h.pointsShapeEllipse,m=h.writePaths,g=t("./newshapes");e.exports=function t(e,r,o,h){h||(h=0);var v=o.gd;function y(){t(e,r,o,h++),d(e[0])&&x({redrawing:!0})}function x(t){o.isActiveShape=!1;var e=g(r,o);Object.keys(e).length&&a.call((t||{}).redrawing?"relayout":"_guiRelayout",v,e)}var b,_,w,T,k,A=o.isActiveShape,M=v._fullLayout._zoomlayer,S=o.dragmode;(i(S)?v._fullLayout._drawing=!0:v._fullLayout._activeShapeIndex>=0&&f(v),r.attr("d",m(e)),A&&!h)&&(k=function(t,e){for(var r=0;r<e.length;r++){var n=e[r];t[r]=[];for(var i=0;i<n.length;i++){t[r][i]=[];for(var a=0;a<n[i].length;a++)t[r][i][a]=n[i][a]}}return t}([],e),function(t){b=[];for(var r=0;r<e.length;r++){var i=e[r],a=!p(i)&&d(i);b[r]=[];for(var o=0;o<i.length;o++)if("Z"!==i[o][0]&&(!a||o===s||o===l||o===c||o===u)){var f=i[o][1],h=i[o][2],m=t.append("circle").classed("cursor-grab",!0).attr("data-i",r).attr("data-j",o).attr("cx",f).attr("cy",h).attr("r",4).style({"mix-blend-mode":"luminosity",fill:"black",stroke:"white","stroke-width":1});b[r][o]={element:m.node(),gd:v,prepFn:E,doneFn:C,clickFn:P},n.init(b[r][o])}}}(M.append("g").attr("class","outline-controllers")),function(){if(_=[],!e.length)return;_[0]={element:r[0][0],gd:v,prepFn:O,doneFn:z},n.init(_[0])}());function E(t){w=+t.srcElement.getAttribute("data-i"),T=+t.srcElement.getAttribute("data-j"),b[w][T].moveFn=L}function L(t,r){if(e.length){var n=k[w][T][1],i=k[w][T][2],a=e[w],o=a.length;if(p(a)){for(var s=0;s<o;s++)if(s!==T){var l=a[s];l[1]===a[T][1]&&(l[1]=n+t),l[2]===a[T][2]&&(l[2]=i+r)}if(a[T][1]=n+t,a[T][2]=i+r,!p(a))for(var c=0;c<o;c++)for(var u=0;u<a[c].length;u++)a[c][u]=k[w][c][u]}else a[T][1]=n+t,a[T][2]=i+r;y()}}function C(){x()}function P(t,r){if(2===t){w=+r.srcElement.getAttribute("data-i"),T=+r.srcElement.getAttribute("data-j");var n=e[w];p(n)||d(n)||function(){if(e.length&&e[w]&&e[w].length){for(var t=[],r=0;r<e[w].length;r++)r!==T&&t.push(e[w][r]);t.length>1&&(2!==t.length||"Z"!==t[1][0])&&(0===T&&(t[0][0]="M"),e[w]=t,y(),x())}}()}}function I(t,r){!function(t,r){if(e.length)for(var n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)for(var a=0;a+2<e[n][i].length;a+=2)e[n][i][a+1]=k[n][i][a+1]+t,e[n][i][a+2]=k[n][i][a+2]+r}(t,r),y()}function O(t){(w=+t.srcElement.getAttribute("data-i"))||(w=0),_[w].moveFn=I}function z(){x()}}},{"../../../plots/cartesian/handle_outline":560,"../../../registry":633,"../../dragelement":380,"../../dragelement/helpers":379,"./constants":447,"./helpers":450,"./newshapes":451}],450:[function(t,e,r){"use strict";var n=t("parse-svg-path"),i=t("./constants"),a=i.CIRCLE_SIDES,o=i.SQRT2,s=t("../../../plots/cartesian/helpers"),l=s.p2r,c=s.r2p,u=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function h(t,e){return Math.abs(t-e)<=1e-6}function p(t,e){var r=e[1]-t[1],n=e[2]-t[2];return Math.sqrt(r*r+n*n)}r.writePaths=function(t){var e=t.length;if(!e)return"M0,0Z";for(var r="",n=0;n<e;n++)for(var i=t[n].length,a=0;a<i;a++){var o=t[n][a][0];if("Z"===o)r+="Z";else for(var s=t[n][a].length,l=0;l<s;l++){var c=l;"Q"===o||"S"===o?c=f[l]:"C"===o&&(c=u[l]),r+=t[n][a][c],l>0&&l<s-1&&(r+=",")}}return r},r.readPaths=function(t,e,r,i){var o,s,u,f=n(t),h=[],p=-1,d=0,m=0,g=function(){s=d,u=m};g();for(var v=0;v<f.length;v++){var y,x,b,_,w=[],T=f[v][0],k=T;switch(T){case"M":p++,h[p]=[],d=+f[v][1],m=+f[v][2],w.push([k,d,m]),g();break;case"Q":case"S":y=+f[v][1],b=+f[v][2],d=+f[v][3],m=+f[v][4],w.push([k,d,m,y,b]);break;case"C":y=+f[v][1],b=+f[v][2],x=+f[v][3],_=+f[v][4],d=+f[v][5],m=+f[v][6],w.push([k,d,m,y,b,x,_]);break;case"T":case"L":d=+f[v][1],m=+f[v][2],w.push([k,d,m]);break;case"H":k="L",d=+f[v][1],w.push([k,d,m]);break;case"V":k="L",m=+f[v][1],w.push([k,d,m]);break;case"A":k="L";var A=+f[v][1],M=+f[v][2];+f[v][4]||(A=-A,M=-M);var S=d-A,E=m;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case"Z":d===s&&m===u||(d=s,m=u,w.push([k,d,m]))}for(var C=(r||{}).domain,P=e._fullLayout._size,I=r&&"pixel"===r.xsizemode,O=r&&"pixel"===r.ysizemode,z=!1===i,D=0;D<w.length;D++){for(o=0;o+2<7;o+=2){var R=w[D][o+1],F=w[D][o+2];void 0!==R&&void 0!==F&&(d=R,m=F,r&&(r.xaxis&&r.xaxis.p2r?(z&&(R-=r.xaxis._offset),R=I?c(r.xaxis,r.xanchor)+R:l(r.xaxis,R)):(z&&(R-=P.l),C?R=C.x[0]+R/P.w:R/=P.w),r.yaxis&&r.yaxis.p2r?(z&&(F-=r.yaxis._offset),F=O?c(r.yaxis,r.yanchor)-F:l(r.yaxis,F)):(z&&(F-=P.t),F=C?C.y[1]-F/P.h:1-F/P.h)),w[D][o+1]=R,w[D][o+2]=F)}h[p].push(w[D].slice())}}return h},r.pointsShapeRectangle=function(t){if(5!==t.length)return!1;for(var e=1;e<3;e++){if(!h(t[0][e]-t[1][e],t[3][e]-t[2][e]))return!1;if(!h(t[0][e]-t[3][e],t[1][e]-t[2][e]))return!1}return!(!h(t[0][1],t[1][1])&&!h(t[0][1],t[3][1]))&&!!(p(t[0],t[1])*p(t[0],t[3]))},r.pointsShapeEllipse=function(t){var e=t.length;if(e!==a+1)return!1;e=a;for(var r=0;r<e;r++){var n=(2*e-r)%e,i=(e/2+n)%e,o=(e/2+r)%e;if(!h(p(t[r],t[o]),p(t[n],t[i])))return!1}return!0},r.handleEllipse=function(t,e,n){if(!t)return[e,n];var i=r.ellipseOver({x0:e[0],y0:e[1],x1:n[0],y1:n[1]}),s=(i.x1+i.x0)/2,l=(i.y1+i.y0)/2,c=(i.x1-i.x0)/2,u=(i.y1-i.y0)/2;c||(c=u/=o),u||(u=c/=o);for(var f=[],h=0;h<a;h++){var p=2*h*Math.PI/a;f.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return f},r.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}}},{"../../../plots/cartesian/helpers":561,"./constants":447,"parse-svg-path":245}],451:[function(t,e,r){"use strict";var n=t("../../dragelement/helpers"),i=n.drawMode,a=n.openMode,o=t("./constants"),s=o.i000,l=o.i090,c=o.i180,u=o.i270,f=o.cos45,h=o.sin45,p=t("../../../plots/cartesian/helpers"),d=p.p2r,m=p.r2p,g=t("../../../plots/cartesian/handle_outline").clearSelect,v=t("./helpers"),y=v.readPaths,x=v.writePaths,b=v.ellipseOver;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var n=r.getAttribute("d"),o=e.gd,p=o._fullLayout.newshape,v=e.plotinfo,_=v.xaxis,w=v.yaxis,T=!!v.domain||!v.xaxis,k=!!v.domain||!v.yaxis,A=e.isActiveShape,M=e.dragmode,S=(o.layout||{}).shapes||[];if(!i(M)&&void 0!==A){var E=o._fullLayout._activeShapeIndex;if(E<S.length)switch(o._fullLayout.shapes[E].type){case"rect":M="drawrect";break;case"circle":M="drawcircle";break;case"line":M="drawline";break;case"path":var L=S[E].path||"";M="Z"===L[L.length-1]?"drawclosedpath":"drawopenpath"}}var C,P=a(M),I=y(n,o,v,A),O={editable:!0,xref:T?"paper":_._id,yref:k?"paper":w._id,layer:p.layer,opacity:p.opacity,line:{color:p.line.color,width:p.line.width,dash:p.line.dash}};if(P||(O.fillcolor=p.fillcolor,O.fillrule=p.fillrule),1===I.length&&(C=I[0]),C&&"drawrect"===M)O.type="rect",O.x0=C[0][1],O.y0=C[0][2],O.x1=C[2][1],O.y1=C[2][2];else if(C&&"drawline"===M)O.type="line",O.x0=C[0][1],O.y0=C[0][2],O.x1=C[1][1],O.y1=C[1][2];else if(C&&"drawcircle"===M){O.type="circle";var z=C[s][1],D=C[l][1],R=C[c][1],F=C[u][1],B=C[s][2],N=C[l][2],j=C[c][2],U=C[u][2],V=v.xaxis&&("date"===v.xaxis.type||"log"===v.xaxis.type),H=v.yaxis&&("date"===v.yaxis.type||"log"===v.yaxis.type);V&&(z=m(v.xaxis,z),D=m(v.xaxis,D),R=m(v.xaxis,R),F=m(v.xaxis,F)),H&&(B=m(v.yaxis,B),N=m(v.yaxis,N),j=m(v.yaxis,j),U=m(v.yaxis,U));var q=(D+F)/2,G=(B+j)/2,Y=b({x0:q,y0:G,x1:q+(F-D+R-z)/2*f,y1:G+(U-N+j-B)/2*h});V&&(Y.x0=d(v.xaxis,Y.x0),Y.x1=d(v.xaxis,Y.x1)),H&&(Y.y0=d(v.yaxis,Y.y0),Y.y1=d(v.yaxis,Y.y1)),O.x0=Y.x0,O.y0=Y.y0,O.x1=Y.x1,O.y1=Y.y1}else O.type="path",_&&w&&function(t,e,r){var n="date"===e.type,i="date"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(" ","_")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(" ","_"))}(I,_,w),O.path=x(I),C=null;g(o);for(var W=e.editHelpers,X=(W||{}).modifyItem,Z=[],J=0;J<S.length;J++){var K=o._fullLayout.shapes[J];if(Z[J]=K._input,void 0!==A&&J===o._fullLayout._activeShapeIndex){var Q=O;switch(K.type){case"line":case"rect":case"circle":X("x0",Q.x0),X("x1",Q.x1),X("y0",Q.y0),X("y1",Q.y1);break;case"path":X("path",Q.path)}}}return void 0===A?(Z.push(O),Z):W?W.getUpdateObj():{}}}}},{"../../../plots/cartesian/handle_outline":560,"../../../plots/cartesian/helpers":561,"../../dragelement/helpers":379,"./constants":447,"./helpers":450}],452:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib");r.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return"log"===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace("_"," ")),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(" ","_")}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if("domain"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},"date"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if("domain"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&"paper"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+"axis"]),r.yref&&"paper"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+"axis"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}}},{"../../lib":498,"./constants":443}],453:[function(t,e,r){"use strict";var n=t("./draw");e.exports={moduleType:"component",name:"shapes",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),supplyDrawNewShapeDefaults:t("./draw_newshape/defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("shapes"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne}},{"../../plots/cartesian/include_components":562,"./attributes":441,"./calc_autorange":442,"./defaults":444,"./draw":445,"./draw_newshape/defaults":448}],454:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/pad_attributes"),a=t("../../lib/extend").extendDeepAll,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/animation_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=t("./constants"),u=l("step",{visible:{valType:"boolean",dflt:!0},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string"},value:{valType:"string"},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("slider",{visible:{valType:"boolean",dflt:!0},active:{valType:"number",min:0,dflt:0},steps:u,lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",min:-2,max:3,dflt:0},pad:a(i({editType:"arraydraw"}),{},{t:{dflt:20}}),xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left"},y:{valType:"number",min:-2,max:3,dflt:0},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},transition:{duration:{valType:"number",min:0,dflt:150},easing:{valType:"enumerated",values:s.transition.easing.values,dflt:"cubic-in-out"}},currentvalue:{visible:{valType:"boolean",dflt:!0},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left"},offset:{valType:"number",dflt:10},prefix:{valType:"string"},suffix:{valType:"string"},font:n({})},font:n({}),activebgcolor:{valType:"color",dflt:c.gripBgActiveColor},bgcolor:{valType:"color",dflt:c.railBgColor},bordercolor:{valType:"color",dflt:c.railBorderColor},borderwidth:{valType:"number",min:0,dflt:c.railBorderWidth},ticklen:{valType:"number",min:0,dflt:c.tickLength},tickcolor:{valType:"color",dflt:c.tickColor},tickwidth:{valType:"number",min:0,dflt:1},minorticklen:{valType:"number",min:0,dflt:c.minorTickLength}}),"arraydraw","from-root")},{"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../../plots/animation_attributes":543,"../../plots/font_attributes":580,"../../plots/pad_attributes":613,"./constants":455}],455:[function(t,e,r){"use strict";e.exports={name:"sliders",containerClassName:"slider-container",groupClassName:"slider-group",inputAreaClass:"slider-input-area",railRectClass:"slider-rail-rect",railTouchRectClass:"slider-rail-touch-rect",gripRectClass:"slider-grip-rect",tickRectClass:"slider-tick-rect",inputProxyClass:"slider-input-proxy",labelsClass:"slider-labels",labelGroupClass:"slider-label-group",labelClass:"slider-label",currentValueClass:"slider-current-value",railHeight:5,menuIndexAttrName:"slider-active-index",autoMarginIdRoot:"slider-",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:"#bec8d9",railBgColor:"#f8fafc",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:"#bec8d9",gripBgColor:"#f6f8fa",gripBgActiveColor:"#dbdde0",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:"#333",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:"#333",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],456:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/array_container_defaults"),a=t("./attributes"),o=t("./constants").name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:"steps",handleItemDefaults:c}),l=0,u=0;u<s.length;u++)s[u].visible&&l++;if(l<2?e.visible=!1:o("visible")){e._stepCount=l;var f=e._visibleSteps=n.filterVisible(s);(s[o("active")]||{}).visible||(e.active=f[0]._index),o("x"),o("y"),n.noneOrAll(t,e,["x","y"]),o("xanchor"),o("yanchor"),o("len"),o("lenmode"),o("pad.t"),o("pad.r"),o("pad.b"),o("pad.l"),n.coerceFont(o,"font",r.font),o("currentvalue.visible")&&(o("currentvalue.xanchor"),o("currentvalue.prefix"),o("currentvalue.suffix"),o("currentvalue.offset"),n.coerceFont(o,"currentvalue.font",e.font)),o("transition.duration"),o("transition.easing"),o("bgcolor"),o("activebgcolor"),o("bordercolor"),o("borderwidth"),o("ticklen"),o("tickwidth"),o("tickcolor"),o("minorticklen")}}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if("skip"===t.method||Array.isArray(t.args)?r("visible"):e.visible=!1){r("method"),r("args");var i=r("label","step-"+e._index);r("value",i),r("execute")}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"./attributes":454,"./constants":455}],457:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../color"),o=t("../drawing"),s=t("../../lib"),l=s.strTranslate,c=t("../../lib/svg_text_utils"),u=t("../../plot_api/plot_template").arrayEditor,f=t("./constants"),h=t("../../constants/alignment"),p=h.LINE_SPACING,d=h.FROM_TL,m=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function v(t){return t._index}function y(t,e){var r=o.tester.selectAll("g."+f.labelGroupClass).data(e._visibleSteps);r.enter().append("g").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;u.lx=h.l+h.w*e.x,u.ly=h.t+h.h*(1-e.y),"fraction"===e.lenmode?u.outerLength=Math.round(h.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*f.stepInset)/(e._stepCount-1),v=a+f.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(v/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var y=o.tester.append("g");r.each((function(t){var r=x(y,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,y.remove()}u.height=u.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var b="left";s.isRightAnchor(e)&&(u.lx-=u.outerLength,b="right"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,b="center");var w="top";s.isBottomAnchor(e)&&(u.ly-=u.height,w="bottom"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w="middle"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=f.currentValueInset,i="left"}var l=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":i,"data-notex":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,"rect",f.gripRectClass,(function(n){n.call(A,e,t,r).style("pointer-events","all")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style("stroke-width",r.borderwidth+"px")}function _(t,e,r){var n=s.ensureSingle(t,"text",f.labelClass,(function(t){t.attr({"text-anchor":"middle","data-notex":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,"g",f.labelsClass),i=e._dims,a=r.selectAll("g."+f.labelGroupClass).data(i.labelSteps);a.enter().append("g").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,f.name,r).applyUpdate("active",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit("plotly_sliderchange",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}function l(){var t=s();e.emit("plotly_sliderstart",{slider:t});var l=r.select("."+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=L(t,n.mouse(i)[0]);function u(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),o.on("touchend",null),o.on("touchmove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on("mousemove",u),o.on("touchmove",u),o.on("mouseup",h),o.on("touchend",h)}t.on("mousedown",l),t.on("touchstart",l)}function M(t,e){var r=t.selectAll("rect."+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select("rect."+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,"rect",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style("pointer-events","all")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr("opacity",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,"rect",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,"shape-rendering":"crispEdges"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(e,t),a=e._infolayer.selectAll("g."+f.containerClassName).data(r.length>0?[0]:[]);function s(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(a.enter().append("g").classed(f.containerClassName,!0).style("cursor","ew-resize"),a.exit().each((function(){n.select(this).selectAll("g."+f.groupClassName).each(s)})).remove(),0!==r.length){var l=a.selectAll("g."+f.groupClassName).data(r,v);l.enter().append("g").classed(f.groupClassName,!0),l.exit().each(s).remove();for(var c=0;c<r.length;c++){var u=r[c];y(t,u)}l.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index);e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},{"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plot_api/plot_template":538,"../../plots/plots":614,"../color":361,"../drawing":383,"./constants":455,"@plotly/d3":58}],458:[function(t,e,r){"use strict";var n=t("./constants");e.exports={moduleType:"component",name:n.name,layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),draw:t("./draw")}},{"./attributes":454,"./constants":455,"./defaults":456,"./draw":457}],459:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib"),l=s.strTranslate,c=t("../drawing"),u=t("../color"),f=t("../../lib/svg_text_utils"),h=t("../../constants/interactions"),p=t("../../constants/alignment").OPPOSITE_SIDE,d=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var m,g=r.propContainer,v=r.propName,y=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:"").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,I=L.color;"title.text"===v?m="titleText":-1!==v.indexOf("axis")?m="axisTitleText":v.indexOf(!0)&&(m="colorbarTitleText");var O=t._context.edits[m];""===E?A=0:E.replace(d," % ")===y.replace(d," % ")&&(A=.2,M=!0,O||(E="")),r._meta?E=s.templateString(E,r._meta):k._meta&&(E=s.templateString(E,k._meta));var z,D=E||O;T||(T=s.ensureSingle(k._infolayer,"g","g-"+e),z=k._hColorbarMoveTitle);var R=T.selectAll("text").data(D?[0]:[]);if(R.enter().append("text"),R.text(E).attr("class",e),R.exit().remove(),!D)return T;function F(t){s.syncOrAsync([B,N],t)}function B(e){var r;return!w&&z&&(w={}),w?(r="",w.rotate&&(r+="rotate("+[w.rotate,_.x,_.y]+")"),(w.offset||z)&&(r+=l(0,(w.offset||0)-(z||0)))):r=null,e.attr("transform",r),e.style({"font-family":C,"font-size":n.round(P,2)+"px",fill:u.rgb(I),opacity:A*u.opacity(I),"font-weight":a.fontWeight}).attr(_).call(f.convertToTspans,t),a.previousPromises(t)}function N(t){var e=n.select(t.node().parentNode);if(b&&b.selection&&b.side&&E){e.attr("transform",null);var r=p[b.side],a="left"===b.side||"top"===b.side?-1:1,o=i(b.pad)?b.pad:2,u=c.bBox(e.node()),f={left:0,top:0,right:k.width,bottom:k.height},h=b.maxShift||a*(f[b.side]-u[b.side]),d=0;if(h<0)d=h;else{var m=b.offsetLeft||0,g=b.offsetTop||0;u.left-=m,u.right-=m,u.top-=g,u.bottom-=g,b.selection.each((function(){var t=c.bBox(this);s.bBoxIntersect(u,t,o)&&(d=Math.max(d,a*(t[b.side]-u[r])+o))})),d=Math.min(h,d)}if(d>0||h<0){var v={left:[-d,0],right:[d,0],top:[0,-d],bottom:[0,d]}[b.side];e.attr("transform",l(v[0],v[1]))}}}return R.call(F),O&&(E?R.on(".opacity",null):(A=0,M=!0,R.text(y).on("mouseover.opacity",(function(){n.select(this).transition().duration(h.SHOW_PLACEHOLDER).style("opacity",1)})).on("mouseout.opacity",(function(){n.select(this).transition().duration(h.HIDE_PLACEHOLDER).style("opacity",0)}))),R.call(f.makeEditable,{gd:t}).on("edit",(function(e){void 0!==x?o.call("_guiRestyle",t,v,e,x):o.call("_guiRelayout",t,v,e)})).on("cancel",(function(){this.text(this.attr("data-unformatted")).call(F)})).on("input",(function(t){this.text(t||" ").call(f.positionText,_.x,_.y)}))),R.classed("js-placeholder",M),T}}},{"../../constants/alignment":466,"../../constants/interactions":473,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/plots":614,"../../registry":633,"../color":361,"../drawing":383,"@plotly/d3":58,"fast-isnumeric":185}],460:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/pad_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:c,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},{"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../../plots/font_attributes":580,"../../plots/pad_attributes":613,"../color/attributes":360}],461:[function(t,e,r){"use strict";e.exports={name:"updatemenus",containerClassName:"updatemenu-container",headerGroupClassName:"updatemenu-header-group",headerClassName:"updatemenu-header",headerArrowClassName:"updatemenu-header-arrow",dropdownButtonGroupClassName:"updatemenu-dropdown-button-group",dropdownButtonClassName:"updatemenu-dropdown-button",buttonClassName:"updatemenu-button",itemRectClassName:"updatemenu-item-rect",itemTextClassName:"updatemenu-item-text",menuIndexAttrName:"updatemenu-active-index",autoMarginIdRoot:"updatemenu-",blankHeaderOpts:{label:"  "},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:"#F4FAFF",hoverColor:"#F4FAFF",arrowSymbol:{left:"\u25c4",right:"\u25ba",up:"\u25b2",down:"\u25bc"}}},{}],462:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/array_container_defaults"),a=t("./attributes"),o=t("./constants").name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o("visible",i(t,e,{name:"buttons",handleItemDefaults:c}).length>0)&&(o("active"),o("direction"),o("type"),o("showactive"),o("x"),o("y"),n.noneOrAll(t,e,["x","y"]),o("xanchor"),o("yanchor"),o("pad.t"),o("pad.r"),o("pad.b"),o("pad.l"),n.coerceFont(o,"font",r.font),o("bgcolor",r.paper_bgcolor),o("bordercolor"),o("borderwidth"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r("visible","skip"===t.method||Array.isArray(t.args))&&(r("method"),r("args"),r("args2"),r("label"),r("execute"))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{"../../lib":498,"../../plots/array_container_defaults":544,"./attributes":460,"./constants":461}],463:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../color"),o=t("../drawing"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("../../plot_api/plot_template").arrayEditor,u=t("../../constants/alignment").LINE_SPACING,f=t("./constants"),h=t("./scrollbox");function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,f.name,e).applyUpdate("active",o),"buttons"===e.type?v(t,n,null,null,e):"dropdown"===e.type&&(i.attr(f.menuIndexAttrName,"-1"),g(t,n,i,a,e),s||v(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,"g",f.headerClassName,(function(t){t.style("pointer-events","all")})),l=i._dims,c=i.active,u=i.buttons[c]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(y,i,u,t).call(M,i,h,p),s.ensureSingle(e,"text",f.headerArrowClassName,(function(t){t.attr("text-anchor","end").call(o.font,i.font).text(f.arrowSymbol[i.direction])})).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on("click",(function(){r.call(S,String(d(r,i)?-1:i._index)),v(t,e,r,n,i)})),a.on("mouseover",(function(){a.call(w)})),a.on("mouseout",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function v(t,e,r,a,o){r||(r=e).attr("pointer-events","all");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&"buttons"!==o.type?[]:o.buttons,c="dropdown"===o.type?f.dropdownButtonClassName:f.buttonClassName,u=r.selectAll("g."+c).data(s.filterVisible(l)),h=u.enter().append("g").classed(c,!0),p=u.exit();"dropdown"===o.type?(h.attr("opacity","0").transition().attr("opacity","1"),p.transition().attr("opacity","0").remove()):p.remove();var d=0,g=0,v=o._dims,x=-1!==["up","down"].indexOf(o.direction);"dropdown"===o.type&&(x?g=v.headerHeight+f.gapButtonHeader:d=v.headerWidth+f.gapButtonHeader),"dropdown"===o.type&&"up"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-v.openHeight),"dropdown"===o.type&&"left"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-v.openWidth);var b={x:v.lx+d+o.pad.l,y:v.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(y,o,s,t).call(M,o,b),c.on("click",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit("plotly_buttonclicked",{menu:o,button:s,active:o.active}))})),c.on("mouseover",(function(){c.call(w)})),c.on("mouseout",(function(){c.call(T,o),u.call(_,o)}))})),u.call(_,o),x?(k.w=Math.max(v.openWidth,v.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(v.openHeight,v.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u="up"===c||"down"===c,h=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr("opacity","0").transition().attr("opacity","1");n.vbar&&n.vbar.attr("opacity","0").transition().attr("opacity","1")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr("opacity","0").each("end",(function(){e=!1,r||t.disable()}));r&&t.vbar.transition().attr("opacity","0").each("end",(function(){r=!1,e||t.disable()}))}(a))}function y(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,"rect",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,"shape-rendering":"crispEdges"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){var i=s.ensureSingle(t,"text",f.itemTextClassName,(function(t){t.attr({"text-anchor":"start","data-notex":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select("rect."+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select("rect."+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select("rect."+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll("g."+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append("g").classed(f.dropdownButtonClassName,!0);var c=-1!==["up","down"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(y,e,i,t);var h=s.select("."+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),m=e.font.size*u,g=l.lineCount(h),v=Math.max(m*g,f.minHeight)+f.textOffsetY;v=Math.ceil(v),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=v,r.height1=Math.max(r.height1,v),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=v+f.gapButton,r.openHeight+=v+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,v),r.openHeight=r.totalHeight)})),c?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,"dropdown"===e.type&&(c?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var m="left";s.isRightAnchor(e)&&(r.lx-=h,m="right"),s.isCenterAnchor(e)&&(r.lx-=h/2,m="center");var g="top";s.isBottomAnchor(e)&&(r.ly-=p,g="bottom"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g="middle"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[m]||0),r:h*({left:1,center:.5}[m]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function A(t){return f.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select("."+f.itemRectClassName),a=t.select("."+f.itemTextClassName),s=e.borderwidth,c=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==["up","down"].indexOf(e.direction),d=n.height||(p?h.heights[c]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[c]),height:d});var m=e.font.size*u,g=(l.lineCount(a)-1)*m/2;l.positionText(a,f.textOffsetX,d/2-g+f.textOffsetY),p?r.y+=h.heights[c]+r.yPad:r.x+=h.widths[c]+r.xPad,r.index++}function S(t,e){t.attr(f.menuIndexAttrName,e||"-1").selectAll("g."+f.dropdownButtonClassName).remove()}e.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[f.name]);function a(e){i.autoMargin(t,A(e))}var o=e._menulayer.selectAll("g."+f.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append("g").classed(f.containerClassName,!0).style("cursor","pointer"),o.exit().each((function(){n.select(this).selectAll("g."+f.headerGroupClassName).each(a)})).remove(),0!==r.length){var l=o.selectAll("g."+f.headerGroupClassName).data(r,p);l.enter().append("g").classed(f.headerGroupClassName,!0);for(var c=s.ensureSingle(o,"g",f.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),u=0;u<r.length;u++){var y=r[u];k(t,y)}var x="updatemenus"+e._uid,b=new h(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a="dropdown"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,b,n.index,!0)})),"dropdown"===e.type?(g(t,r,c,b,e),d(c,e)&&v(t,r,c,b,e)):v(t,r,null,null,e)}))}}},{"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plot_api/plot_template":538,"../../plots/plots":614,"../color":361,"../drawing":383,"./constants":461,"./scrollbox":465,"@plotly/d3":58}],464:[function(t,e,r){arguments[4][458][0].apply(r,arguments)},{"./attributes":460,"./constants":461,"./defaults":462,"./draw":463,dup:458}],465:[function(t,e,r){"use strict";e.exports=s;var n=t("@plotly/d3"),i=t("../color"),a=t("../drawing"),o=t("../../lib");function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll("rect.scrollbox-bg").data([0]),this.bg.exit().on(".drag",null).on("wheel",null).remove(),this.bg.enter().append("rect").classed("scrollbox-bg",!0).style("pointer-events","all").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor="#808BA4",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,f,h,p,d=this.position.l,m=this.position.w,g=this.position.t,v=this.position.h,y=this.position.direction,x="down"===y,b="left"===y,_="up"===y,w=m,T=v;x||b||"right"===y||_||(this.position.direction="down",x=!0),x||_?(f=(u=d)+w,x?(h=g,T=(p=Math.min(h+T,c))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(u=Math.max(f-w,0)):(u=d,w=(f=Math.min(u+w,l))-u)),this._box={l:u,t:h,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+v;E+M>c&&(E=c-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+m,z=g;O+P>l&&(O=l-P);var D=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);D.exit().on(".drag",null).remove(),D.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||C?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:v})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on("dragstart",(function(){n.event.sourceEvent.preventDefault()})).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call(V);var H=n.behavior.drag().on("dragstart",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on("drag",this._onBarDrag.bind(this));k&&this.hbar.on(".drag",null).call(H),C&&this.vbar.on(".drag",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{"../../lib":498,"../color":361,"../drawing":383,"@plotly/d3":58}],466:[function(t,e,r){"use strict";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},{}],467:[function(t,e,r){"use strict";e.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the `"+t+"` position refers to a",t,"coordinate. If set to *paper*, the `"+t+"`","position refers to the distance from the",e,"of the plotting","area in normalized coordinates where *0* (*1*) corresponds to the",e,"("+r+"). If set to a",t,"axis ID followed by","*domain* (separated by a space), the position behaves like for","*paper*, but refers to the distance in fractions of the domain","length from the",e,"of the domain of that axis: e.g.,","*"+t+"2 domain* refers to the domain of the second",t," axis and a",t,"position of 0.5 refers to the","point between the",e,"and the",r,"of the domain of the","second",t,"axis."].join(" ")}}},{}],468:[function(t,e,r){"use strict";e.exports={INCREASING:{COLOR:"#3D9970",SYMBOL:"\u25b2"},DECREASING:{COLOR:"#FF4136",SYMBOL:"\u25bc"}}},{}],469:[function(t,e,r){"use strict";e.exports={FORMAT_LINK:"https://github.com/d3/d3-format/tree/v1.4.5#d3-format",DATE_FORMAT_LINK:"https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format"}},{}],470:[function(t,e,r){"use strict";e.exports={COMPARISON_OPS:["=","!=","<",">=",">","<="],COMPARISON_OPS2:["=","<",">=",">","<="],INTERVAL_OPS:["[]","()","[)","(]","][",")(","](",")["],SET_OPS:["{}","}{"],CONSTRAINT_REDUCTION:{"=":"=","<":"<","<=":"<",">":">",">=":">","[]":"[]","()":"[]","[)":"[]","(]":"[]","][":"][",")(":"][","](":"][",")[":"]["}}},{}],471:[function(t,e,r){"use strict";e.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}},{}],472:[function(t,e,r){"use strict";e.exports={circle:"\u25cf","circle-open":"\u25cb",square:"\u25a0","square-open":"\u25a1",diamond:"\u25c6","diamond-open":"\u25c7",cross:"+",x:"\u274c"}},{}],473:[function(t,e,r){"use strict";e.exports={SHOW_PLACEHOLDER:100,HIDE_PLACEHOLDER:1e3,DESELECTDIM:.2}},{}],474:[function(t,e,r){"use strict";e.exports={BADNUM:void 0,FP_SAFE:1e-4*Number.MAX_VALUE,ONEMAXYEAR:316224e5,ONEAVGYEAR:315576e5,ONEMINYEAR:31536e6,ONEMAXQUARTER:79488e5,ONEAVGQUARTER:78894e5,ONEMINQUARTER:76896e5,ONEMAXMONTH:26784e5,ONEAVGMONTH:26298e5,ONEMINMONTH:24192e5,ONEWEEK:6048e5,ONEDAY:864e5,ONEHOUR:36e5,ONEMIN:6e4,ONESEC:1e3,EPOCHJD:2440587.5,ALMOST_EQUAL:.999999,LOG_CLIP:10,MINUS_SIGN:"\u2212"}},{}],475:[function(t,e,r){"use strict";r.xmlns="http://www.w3.org/2000/xmlns/",r.svg="http://www.w3.org/2000/svg",r.xlink="http://www.w3.org/1999/xlink",r.svgAttrs={xmlns:r.svg,"xmlns:xlink":r.xlink}},{}],476:[function(t,e,r){"use strict";r.version=t("./version").version,t("native-promise-only"),t("../build/plotcss");for(var n=t("./registry"),i=r.register=n.register,a=t("./plot_api"),o=Object.keys(a),s=0;s<o.length;s++){var l=o[s];"_"!==l.charAt(0)&&(r[l]=a[l]),i({moduleType:"apiMethod",name:l,fn:a[l]})}i(t("./traces/scatter")),i([t("./components/legend"),t("./components/fx"),t("./components/annotations"),t("./components/annotations3d"),t("./components/shapes"),t("./components/images"),t("./components/updatemenus"),t("./components/sliders"),t("./components/rangeslider"),t("./components/rangeselector"),t("./components/grid"),t("./components/errorbars"),t("./components/colorscale"),t("./components/colorbar"),t("./components/modebar")]),i([t("./locale-en"),t("./locale-en-us")]),window.PlotlyLocales&&Array.isArray(window.PlotlyLocales)&&(i(window.PlotlyLocales),delete window.PlotlyLocales),r.Icons=t("./fonts/ploticon");var c=t("./components/fx"),u=t("./plots/plots");r.Plots={resize:u.resize,graphJson:u.graphJson,sendDataToCloud:u.sendDataToCloud},r.Fx={hover:c.hover,unhover:c.unhover,loneHover:c.loneHover,loneUnhover:c.loneUnhover},r.Snapshot=t("./snapshot"),r.PlotSchema=t("./plot_api/plot_schema")},{"../build/plotcss":1,"./components/annotations":352,"./components/annotations3d":357,"./components/colorbar":367,"./components/colorscale":373,"./components/errorbars":389,"./components/fx":401,"./components/grid":405,"./components/images":410,"./components/legend":418,"./components/modebar":424,"./components/rangeselector":432,"./components/rangeslider":439,"./components/shapes":453,"./components/sliders":458,"./components/updatemenus":464,"./fonts/ploticon":477,"./locale-en":529,"./locale-en-us":528,"./plot_api":533,"./plot_api/plot_schema":537,"./plots/plots":614,"./registry":633,"./snapshot":638,"./traces/scatter":934,"./version":1118,"native-promise-only":240}],477:[function(t,e,r){"use strict";e.exports={undo:{width:857.1,height:1e3,path:"m857 350q0-87-34-166t-91-137-137-92-166-34q-96 0-183 41t-147 114q-4 6-4 13t5 11l76 77q6 5 14 5 9-1 13-7 41-53 100-82t126-29q58 0 110 23t92 61 61 91 22 111-22 111-61 91-92 61-110 23q-55 0-105-20t-90-57l77-77q17-16 8-38-10-23-33-23h-250q-15 0-25 11t-11 25v250q0 24 22 33 22 10 39-8l72-72q60 57 137 88t159 31q87 0 166-34t137-92 91-137 34-166z",transform:"matrix(1 0 0 -1 0 850)"},home:{width:928.6,height:1e3,path:"m786 296v-267q0-15-11-26t-25-10h-214v214h-143v-214h-214q-15 0-25 10t-11 26v267q0 1 0 2t0 2l321 264 321-264q1-1 1-4z m124 39l-34-41q-5-5-12-6h-2q-7 0-12 3l-386 322-386-322q-7-4-13-4-7 2-12 7l-35 41q-4 5-3 13t6 12l401 334q18 15 42 15t43-15l136-114v109q0 8 5 13t13 5h107q8 0 13-5t5-13v-227l122-102q5-5 6-12t-4-13z",transform:"matrix(1 0 0 -1 0 850)"},"camera-retro":{width:1e3,height:1e3,path:"m518 386q0 8-5 13t-13 5q-37 0-63-27t-26-63q0-8 5-13t13-5 12 5 5 13q0 23 16 38t38 16q8 0 13 5t5 13z m125-73q0-59-42-101t-101-42-101 42-42 101 42 101 101 42 101-42 42-101z m-572-320h858v71h-858v-71z m643 320q0 89-62 152t-152 62-151-62-63-152 63-151 151-63 152 63 62 151z m-571 358h214v72h-214v-72z m-72-107h858v143h-462l-36-71h-360v-72z m929 143v-714q0-30-21-51t-50-21h-858q-29 0-50 21t-21 51v714q0 30 21 51t50 21h858q29 0 50-21t21-51z",transform:"matrix(1 0 0 -1 0 850)"},zoombox:{width:1e3,height:1e3,path:"m1000-25l-250 251c40 63 63 138 63 218 0 224-182 406-407 406-224 0-406-182-406-406s183-406 407-406c80 0 155 22 218 62l250-250 125 125z m-812 250l0 438 437 0 0-438-437 0z m62 375l313 0 0-312-313 0 0 312z",transform:"matrix(1 0 0 -1 0 850)"},pan:{width:1e3,height:1e3,path:"m1000 350l-187 188 0-125-250 0 0 250 125 0-188 187-187-187 125 0 0-250-250 0 0 125-188-188 186-187 0 125 252 0 0-250-125 0 187-188 188 188-125 0 0 250 250 0 0-126 187 188z",transform:"matrix(1 0 0 -1 0 850)"},zoom_plus:{width:875,height:1e3,path:"m1 787l0-875 875 0 0 875-875 0z m687-500l-187 0 0-187-125 0 0 187-188 0 0 125 188 0 0 187 125 0 0-187 187 0 0-125z",transform:"matrix(1 0 0 -1 0 850)"},zoom_minus:{width:875,height:1e3,path:"m0 788l0-876 875 0 0 876-875 0z m688-500l-500 0 0 125 500 0 0-125z",transform:"matrix(1 0 0 -1 0 850)"},autoscale:{width:1e3,height:1e3,path:"m250 850l-187 0-63 0 0-62 0-188 63 0 0 188 187 0 0 62z m688 0l-188 0 0-62 188 0 0-188 62 0 0 188 0 62-62 0z m-875-938l0 188-63 0 0-188 0-62 63 0 187 0 0 62-187 0z m875 188l0-188-188 0 0-62 188 0 62 0 0 62 0 188-62 0z m-125 188l-1 0-93-94-156 156 156 156 92-93 2 0 0 250-250 0 0-2 93-92-156-156-156 156 94 92 0 2-250 0 0-250 0 0 93 93 157-156-157-156-93 94 0 0 0-250 250 0 0 0-94 93 156 157 156-157-93-93 0 0 250 0 0 250z",transform:"matrix(1 0 0 -1 0 850)"},tooltip_basic:{width:1500,height:1e3,path:"m375 725l0 0-375-375 375-374 0-1 1125 0 0 750-1125 0z",transform:"matrix(1 0 0 -1 0 850)"},tooltip_compare:{width:1125,height:1e3,path:"m187 786l0 2-187-188 188-187 0 0 937 0 0 373-938 0z m0-499l0 1-187-188 188-188 0 0 937 0 0 376-938-1z",transform:"matrix(1 0 0 -1 0 850)"},plotlylogo:{width:1542,height:1e3,path:"m0-10h182v-140h-182v140z m228 146h183v-286h-183v286z m225 714h182v-1000h-182v1000z m225-285h182v-715h-182v715z m225 142h183v-857h-183v857z m231-428h182v-429h-182v429z m225-291h183v-138h-183v138z",transform:"matrix(1 0 0 -1 0 850)"},"z-axis":{width:1e3,height:1e3,path:"m833 5l-17 108v41l-130-65 130-66c0 0 0 38 0 39 0-1 36-14 39-25 4-15-6-22-16-30-15-12-39-16-56-20-90-22-187-23-279-23-261 0-341 34-353 59 3 60 228 110 228 110-140-8-351-35-351-116 0-120 293-142 474-142 155 0 477 22 477 142 0 50-74 79-163 96z m-374 94c-58-5-99-21-99-40 0-24 65-43 144-43 79 0 143 19 143 43 0 19-42 34-98 40v216h87l-132 135-133-135h88v-216z m167 515h-136v1c16 16 31 34 46 52l84 109v54h-230v-71h124v-1c-16-17-28-32-44-51l-89-114v-51h245v72z",transform:"matrix(1 0 0 -1 0 850)"},"3d_rotate":{width:1e3,height:1e3,path:"m922 660c-5 4-9 7-14 11-359 263-580-31-580-31l-102 28 58-400c0 1 1 1 2 2 118 108 351 249 351 249s-62 27-100 42c88 83 222 183 347 122 16-8 30-17 44-27-2 1-4 2-6 4z m36-329c0 0 64 229-88 296-62 27-124 14-175-11 157-78 225-208 249-266 8-19 11-31 11-31 2 5 6 15 11 32-5-13-8-20-8-20z m-775-239c70-31 117-50 198-32-121 80-199 346-199 346l-96-15-58-12c0 0 55-226 155-287z m603 133l-317-139c0 0 4-4 19-14 7-5 24-15 24-15s-177-147-389 4c235-287 536-112 536-112l31-22 100 299-4-1z m-298-153c6-4 14-9 24-15 0 0-17 10-24 15z",transform:"matrix(1 0 0 -1 0 850)"},camera:{width:1e3,height:1e3,path:"m500 450c-83 0-150-67-150-150 0-83 67-150 150-150 83 0 150 67 150 150 0 83-67 150-150 150z m400 150h-120c-16 0-34 13-39 29l-31 93c-6 15-23 28-40 28h-340c-16 0-34-13-39-28l-31-94c-6-15-23-28-40-28h-120c-55 0-100-45-100-100v-450c0-55 45-100 100-100h800c55 0 100 45 100 100v450c0 55-45 100-100 100z m-400-550c-138 0-250 112-250 250 0 138 112 250 250 250 138 0 250-112 250-250 0-138-112-250-250-250z m365 380c-19 0-35 16-35 35 0 19 16 35 35 35 19 0 35-16 35-35 0-19-16-35-35-35z",transform:"matrix(1 0 0 -1 0 850)"},movie:{width:1e3,height:1e3,path:"m938 413l-188-125c0 37-17 71-44 94 64 38 107 107 107 187 0 121-98 219-219 219-121 0-219-98-219-219 0-61 25-117 66-156h-115c30 33 49 76 49 125 0 103-84 187-187 187s-188-84-188-187c0-57 26-107 65-141-38-22-65-62-65-109v-250c0-70 56-126 125-126h500c69 0 125 56 125 126l188-126c34 0 62 28 62 63v375c0 35-28 63-62 63z m-750 0c-69 0-125 56-125 125s56 125 125 125 125-56 125-125-56-125-125-125z m406-1c-87 0-157 70-157 157 0 86 70 156 157 156s156-70 156-156-70-157-156-157z",transform:"matrix(1 0 0 -1 0 850)"},question:{width:857.1,height:1e3,path:"m500 82v107q0 8-5 13t-13 5h-107q-8 0-13-5t-5-13v-107q0-8 5-13t13-5h107q8 0 13 5t5 13z m143 375q0 49-31 91t-77 65-95 23q-136 0-207-119-9-14 4-24l74-55q4-4 10-4 9 0 14 7 30 38 48 51 19 14 48 14 27 0 48-15t21-33q0-21-11-34t-38-25q-35-16-65-48t-29-70v-20q0-8 5-13t13-5h107q8 0 13 5t5 13q0 10 12 27t30 28q18 10 28 16t25 19 25 27 16 34 7 45z m214-107q0-117-57-215t-156-156-215-58-216 58-155 156-58 215 58 215 155 156 216 58 215-58 156-156 57-215z",transform:"matrix(1 0 0 -1 0 850)"},disk:{width:857.1,height:1e3,path:"m214-7h429v214h-429v-214z m500 0h72v500q0 8-6 21t-11 20l-157 156q-5 6-19 12t-22 5v-232q0-22-15-38t-38-16h-322q-22 0-37 16t-16 38v232h-72v-714h72v232q0 22 16 38t37 16h465q22 0 38-16t15-38v-232z m-214 518v178q0 8-5 13t-13 5h-107q-7 0-13-5t-5-13v-178q0-8 5-13t13-5h107q7 0 13 5t5 13z m357-18v-518q0-22-15-38t-38-16h-750q-23 0-38 16t-16 38v750q0 22 16 38t38 16h517q23 0 50-12t42-26l156-157q16-15 27-42t11-49z",transform:"matrix(1 0 0 -1 0 850)"},drawopenpath:{width:70,height:70,path:"M33.21,85.65a7.31,7.31,0,0,1-2.59-.48c-8.16-3.11-9.27-19.8-9.88-41.3-.1-3.58-.19-6.68-.35-9-.15-2.1-.67-3.48-1.43-3.79-2.13-.88-7.91,2.32-12,5.86L3,32.38c1.87-1.64,11.55-9.66,18.27-6.9,2.13.87,4.75,3.14,5.17,9,.17,2.43.26,5.59.36,9.25a224.17,224.17,0,0,0,1.5,23.4c1.54,10.76,4,12.22,4.48,12.4.84.32,2.79-.46,5.76-3.59L43,80.07C41.53,81.57,37.68,85.64,33.21,85.65ZM74.81,69a11.34,11.34,0,0,0,6.09-6.72L87.26,44.5,74.72,32,56.9,38.35c-2.37.86-5.57,3.42-6.61,6L38.65,72.14l8.42,8.43ZM55,46.27a7.91,7.91,0,0,1,3.64-3.17l14.8-5.3,8,8L76.11,60.6l-.06.19a6.37,6.37,0,0,1-3,3.43L48.25,74.59,44.62,71Zm16.57,7.82A6.9,6.9,0,1,0,64.64,61,6.91,6.91,0,0,0,71.54,54.09Zm-4.05,0a2.85,2.85,0,1,1-2.85-2.85A2.86,2.86,0,0,1,67.49,54.09Zm-4.13,5.22L60.5,56.45,44.26,72.7l2.86,2.86ZM97.83,35.67,84.14,22l-8.57,8.57L89.26,44.24Zm-13.69-8,8,8-2.85,2.85-8-8Z",transform:"matrix(1 0 0 1 -15 -15)"},drawclosedpath:{width:90,height:90,path:"M88.41,21.12a26.56,26.56,0,0,0-36.18,0l-2.07,2-2.07-2a26.57,26.57,0,0,0-36.18,0,23.74,23.74,0,0,0,0,34.8L48,90.12a3.22,3.22,0,0,0,4.42,0l36-34.21a23.73,23.73,0,0,0,0-34.79ZM84,51.24,50.16,83.35,16.35,51.25a17.28,17.28,0,0,1,0-25.47,20,20,0,0,1,27.3,0l4.29,4.07a3.23,3.23,0,0,0,4.44,0l4.29-4.07a20,20,0,0,1,27.3,0,17.27,17.27,0,0,1,0,25.46ZM66.76,47.68h-33v6.91h33ZM53.35,35H46.44V68h6.91Z",transform:"matrix(1 0 0 1 -5 -5)"},lasso:{width:1031,height:1e3,path:"m1018 538c-36 207-290 336-568 286-277-48-473-256-436-463 10-57 36-108 76-151-13-66 11-137 68-183 34-28 75-41 114-42l-55-70 0 0c-2-1-3-2-4-3-10-14-8-34 5-45 14-11 34-8 45 4 1 1 2 3 2 5l0 0 113 140c16 11 31 24 45 40 4 3 6 7 8 11 48-3 100 0 151 9 278 48 473 255 436 462z m-624-379c-80 14-149 48-197 96 42 42 109 47 156 9 33-26 47-66 41-105z m-187-74c-19 16-33 37-39 60 50-32 109-55 174-68-42-25-95-24-135 8z m360 75c-34-7-69-9-102-8 8 62-16 128-68 170-73 59-175 54-244-5-9 20-16 40-20 61-28 159 121 317 333 354s407-60 434-217c28-159-121-318-333-355z",transform:"matrix(1 0 0 -1 0 850)"},selectbox:{width:1e3,height:1e3,path:"m0 850l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m285 0l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m-857-286l0-143 143 0 0 143-143 0z m857 0l0-143 143 0 0 143-143 0z m-857-285l0-143 143 0 0 143-143 0z m857 0l0-143 143 0 0 143-143 0z m-857-286l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m285 0l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z",transform:"matrix(1 0 0 -1 0 850)"},drawline:{width:70,height:70,path:"M60.64,62.3a11.29,11.29,0,0,0,6.09-6.72l6.35-17.72L60.54,25.31l-17.82,6.4c-2.36.86-5.57,3.41-6.6,6L24.48,65.5l8.42,8.42ZM40.79,39.63a7.89,7.89,0,0,1,3.65-3.17l14.79-5.31,8,8L61.94,54l-.06.19a6.44,6.44,0,0,1-3,3.43L34.07,68l-3.62-3.63Zm16.57,7.81a6.9,6.9,0,1,0-6.89,6.9A6.9,6.9,0,0,0,57.36,47.44Zm-4,0a2.86,2.86,0,1,1-2.85-2.85A2.86,2.86,0,0,1,53.32,47.44Zm-4.13,5.22L46.33,49.8,30.08,66.05l2.86,2.86ZM83.65,29,70,15.34,61.4,23.9,75.09,37.59ZM70,21.06l8,8-2.84,2.85-8-8ZM87,80.49H10.67V87H87Z",transform:"matrix(1 0 0 1 -15 -15)"},drawrect:{width:80,height:80,path:"M78,22V79H21V22H78m9-9H12V88H87V13ZM68,46.22H31V54H68ZM53,32H45.22V69H53Z",transform:"matrix(1 0 0 1 -10 -10)"},drawcircle:{width:80,height:80,path:"M50,84.72C26.84,84.72,8,69.28,8,50.3S26.84,15.87,50,15.87,92,31.31,92,50.3,73.16,84.72,50,84.72Zm0-60.59c-18.6,0-33.74,11.74-33.74,26.17S31.4,76.46,50,76.46,83.74,64.72,83.74,50.3,68.6,24.13,50,24.13Zm17.15,22h-34v7.11h34Zm-13.8-13H46.24v34h7.11Z",transform:"matrix(1 0 0 1 -10 -10)"},eraseshape:{width:80,height:80,path:"M82.77,78H31.85L6,49.57,31.85,21.14H82.77a8.72,8.72,0,0,1,8.65,8.77V69.24A8.72,8.72,0,0,1,82.77,78ZM35.46,69.84H82.77a.57.57,0,0,0,.49-.6V29.91a.57.57,0,0,0-.49-.61H35.46L17,49.57Zm32.68-34.7-24,24,5,5,24-24Zm-19,.53-5,5,24,24,5-5Z",transform:"matrix(1 0 0 1 -10 -10)"},spikeline:{width:1e3,height:1e3,path:"M512 409c0-57-46-104-103-104-57 0-104 47-104 104 0 57 47 103 104 103 57 0 103-46 103-103z m-327-39l92 0 0 92-92 0z m-185 0l92 0 0 92-92 0z m370-186l92 0 0 93-92 0z m0-184l92 0 0 92-92 0z",transform:"matrix(1.5 0 0 -1.5 0 850)"},pencil:{width:1792,height:1792,path:"M491 1536l91-91-235-235-91 91v107h128v128h107zm523-928q0-22-22-22-10 0-17 7l-542 542q-7 7-7 17 0 22 22 22 10 0 17-7l542-542q7-7 7-17zm-54-192l416 416-832 832h-416v-416zm683 96q0 53-37 90l-166 166-416-416 166-165q36-38 90-38 53 0 91 38l235 234q37 39 37 91z",transform:"matrix(1 0 0 1 0 1)"},newplotlylogo:{name:"newplotlylogo",svg:"<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 132 132'><defs><style>.cls-1 {fill: #3f4f75;} .cls-2 {fill: #80cfbe;} .cls-3 {fill: #fff;}</style></defs><title>plotly-logomark</title><g id='symbol'><rect class='cls-1' width='132' height='132' rx='6' ry='6'/><circle class='cls-2' cx='78' cy='54' r='6'/><circle class='cls-2' cx='102' cy='30' r='6'/><circle class='cls-2' cx='78' cy='30' r='6'/><circle class='cls-2' cx='54' cy='30' r='6'/><circle class='cls-2' cx='30' cy='30' r='6'/><circle class='cls-2' cx='30' cy='54' r='6'/><path class='cls-3' d='M30,72a6,6,0,0,0-6,6v24a6,6,0,0,0,12,0V78A6,6,0,0,0,30,72Z'/><path class='cls-3' d='M78,72a6,6,0,0,0-6,6v24a6,6,0,0,0,12,0V78A6,6,0,0,0,78,72Z'/><path class='cls-3' d='M54,48a6,6,0,0,0-6,6v48a6,6,0,0,0,12,0V54A6,6,0,0,0,54,48Z'/><path class='cls-3' d='M102,48a6,6,0,0,0-6,6v48a6,6,0,0,0,12,0V54A6,6,0,0,0,102,48Z'/></g></svg>"}}},{}],478:[function(t,e,r){"use strict";r.isLeftAnchor=function(t){return"left"===t.xanchor||"auto"===t.xanchor&&t.x<=1/3},r.isCenterAnchor=function(t){return"center"===t.xanchor||"auto"===t.xanchor&&t.x>1/3&&t.x<2/3},r.isRightAnchor=function(t){return"right"===t.xanchor||"auto"===t.xanchor&&t.x>=2/3},r.isTopAnchor=function(t){return"top"===t.yanchor||"auto"===t.yanchor&&t.y>=2/3},r.isMiddleAnchor=function(t){return"middle"===t.yanchor||"auto"===t.yanchor&&t.y>1/3&&t.y<2/3},r.isBottomAnchor=function(t){return"bottom"===t.yanchor||"auto"===t.yanchor&&t.y<=1/3}},{}],479:[function(t,e,r){"use strict";var n=t("./mod"),i=n.mod,a=n.modHalf,o=Math.PI,s=2*o;function l(t){return Math.abs(t[1]-t[0])>s-1e-14}function c(t,e){return a(e-t,s)}function u(t,e){if(l(e))return!0;var r,n;e[0]<e[1]?(r=e[0],n=e[1]):(r=e[1],n=e[0]),(r=i(r,s))>(n=i(n,s))&&(n+=s);var a=i(t,s),o=a+s;return a>=r&&a<=n||o>=r&&o<=n}function f(t,e,r,n,i,a,c){i=i||0,a=a||0;var u,f,h,p,d,m=l([r,n]);function g(t,e){return[t*Math.cos(e)+i,a-t*Math.sin(e)]}m?(u=0,f=o,h=s):r<n?(u=r,h=n):(u=n,h=r),t<e?(p=t,d=e):(p=e,d=t);var v,y=Math.abs(h-u)<=o?0:1;function x(t,e,r){return"A"+[t,t]+" "+[0,y,r]+" "+g(t,e)}return m?v=null===p?"M"+g(d,u)+x(d,f,0)+x(d,h,0)+"Z":"M"+g(p,u)+x(p,f,0)+x(p,h,0)+"ZM"+g(d,u)+x(d,f,1)+x(d,h,1)+"Z":null===p?(v="M"+g(d,u)+x(d,h,0),c&&(v+="L0,0Z")):v="M"+g(p,u)+"L"+g(d,u)+x(d,h,0)+"L"+g(p,h)+x(p,u,1)+"Z",v}e.exports={deg2rad:function(t){return t/180*o},rad2deg:function(t){return t/o*180},angleDelta:c,angleDist:function(t,e){return Math.abs(c(t,e))},isFullCircle:l,isAngleInsideSector:u,isPtInsideSector:function(t,e,r,n){return!!u(e,n)&&(r[0]<r[1]?(i=r[0],a=r[1]):(i=r[1],a=r[0]),t>=i&&t<=a);var i,a},pathArc:function(t,e,r,n,i){return f(null,t,e,r,n,i,0)},pathSector:function(t,e,r,n,i){return f(null,t,e,r,n,i,1)},pathAnnulus:function(t,e,r,n,i,a){return f(t,e,r,n,i,a,1)}}},{"./mod":505}],480:[function(t,e,r){"use strict";var n=Array.isArray,i="undefined"!=typeof ArrayBuffer&&ArrayBuffer.isView?ArrayBuffer:{isView:function(){return!1}},a="undefined"==typeof DataView?function(){}:DataView;function o(t){return i.isView(t)&&!(t instanceof a)}function s(t){return n(t)||o(t)}function l(t,e,r){if(s(t)){if(s(t[0])){for(var n=r,i=0;i<t.length;i++)n=e(n,t[i].length);return n}return t.length}return 0}r.isTypedArray=o,r.isArrayOrTypedArray=s,r.isArray1D=function(t){return!s(t[0])},r.ensureArray=function(t,e){return n(t)||(t=[]),t.length=e,t},r.concat=function(){var t,e,r,i,a,o,s,l,c=[],u=!0,f=0;for(r=0;r<arguments.length;r++)(o=(i=arguments[r]).length)&&(e?c.push(i):(e=i,a=o),n(i)?t=!1:(u=!1,f?t!==i.constructor&&(t=!1):t=i.constructor),f+=o);if(!f)return[];if(!c.length)return e;if(u)return e.concat.apply(e,c);if(t){for((s=new t(f)).set(e),r=0;r<c.length;r++)i=c[r],s.set(i,a),a+=i.length;return s}for(s=new Array(f),l=0;l<e.length;l++)s[l]=e[l];for(r=0;r<c.length;r++){for(i=c[r],l=0;l<i.length;l++)s[a+l]=i[l];a+=l}return s},r.maxRowLength=function(t){return l(t,Math.max,0)},r.minRowLength=function(t){return l(t,Math.min,1/0)}},{}],481:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../constants/numerical").BADNUM,a=/^['"%,$#\s']+|[, ]|['"%,$#\s']+$/g;e.exports=function(t){return"string"==typeof t&&(t=t.replace(a,"")),n(t)?Number(t):i}},{"../constants/numerical":474,"fast-isnumeric":185}],482:[function(t,e,r){"use strict";e.exports=function(t){var e=t._fullLayout;e._glcanvas&&e._glcanvas.size()&&e._glcanvas.each((function(t){t.regl&&t.regl.clear({color:!0,depth:!0})}))}},{}],483:[function(t,e,r){"use strict";e.exports=function(t){t._responsiveChartHandler&&(window.removeEventListener("resize",t._responsiveChartHandler),delete t._responsiveChartHandler)}},{}],484:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../plots/attributes"),o=t("../components/colorscale/scales"),s=t("../components/color"),l=t("../constants/interactions").DESELECTDIM,c=t("./nested_property"),u=t("./regex").counter,f=t("./mod").modHalf,h=t("./array").isArrayOrTypedArray;function p(t,e){var n=r.valObjectMeta[e.valType];if(e.arrayOk&&h(t))return!0;if(n.validateFunction)return n.validateFunction(t,e);var i={},a=i,o={set:function(t){a=t}};return n.coerceFunction(t,o,i,e),a!==i}r.valObjectMeta={data_array:{coerceFunction:function(t,e,r){h(t)?e.set(t):void 0!==r&&e.set(r)}},enumerated:{coerceFunction:function(t,e,r,n){n.coerceNumber&&(t=+t),-1===n.values.indexOf(t)?e.set(r):e.set(t)},validateFunction:function(t,e){e.coerceNumber&&(t=+t);for(var r=e.values,n=0;n<r.length;n++){var i=String(r[n]);if("/"===i.charAt(0)&&"/"===i.charAt(i.length-1)){if(new RegExp(i.substr(1,i.length-2)).test(t))return!0}else if(t===r[n])return!0}return!1}},boolean:{coerceFunction:function(t,e,r){!0===t||!1===t?e.set(t):e.set(r)}},number:{coerceFunction:function(t,e,r,i){!n(t)||void 0!==i.min&&t<i.min||void 0!==i.max&&t>i.max?e.set(r):e.set(+t)}},integer:{coerceFunction:function(t,e,r,i){t%1||!n(t)||void 0!==i.min&&t<i.min||void 0!==i.max&&t>i.max?e.set(r):e.set(+t)}},string:{coerceFunction:function(t,e,r,n){if("string"!=typeof t){var i="number"==typeof t;!0!==n.strict&&i?e.set(String(t)):e.set(r)}else n.noBlank&&!t?e.set(r):e.set(t)}},color:{coerceFunction:function(t,e,r){i(t).isValid()?e.set(t):e.set(r)}},colorlist:{coerceFunction:function(t,e,r){Array.isArray(t)&&t.length&&t.every((function(t){return i(t).isValid()}))?e.set(t):e.set(r)}},colorscale:{coerceFunction:function(t,e,r){e.set(o.get(t,r))}},angle:{coerceFunction:function(t,e,r){"auto"===t?e.set("auto"):n(t)?e.set(f(+t,360)):e.set(r)}},subplotid:{coerceFunction:function(t,e,r,n){var i=n.regex||u(r);"string"==typeof t&&i.test(t)?e.set(t):e.set(r)},validateFunction:function(t,e){var r=e.dflt;return t===r||"string"==typeof t&&!!u(r).test(t)}},flaglist:{coerceFunction:function(t,e,r,n){if("string"==typeof t)if(-1===(n.extras||[]).indexOf(t)){for(var i=t.split("+"),a=0;a<i.length;){var o=i[a];-1===n.flags.indexOf(o)||i.indexOf(o)<a?i.splice(a,1):a++}i.length?e.set(i.join("+")):e.set(r)}else e.set(t);else e.set(r)}},any:{coerceFunction:function(t,e,r){void 0===t?e.set(r):e.set(t)}},info_array:{coerceFunction:function(t,e,n,i){function a(t,e,n){var i,a={set:function(t){i=t}};return void 0===n&&(n=e.dflt),r.valObjectMeta[e.valType].coerceFunction(t,a,n,e),i}var o=2===i.dimensions||"1-2"===i.dimensions&&Array.isArray(t)&&Array.isArray(t[0]);if(Array.isArray(t)){var s,l,c,u,f,h,p=i.items,d=[],m=Array.isArray(p),g=m&&o&&Array.isArray(p[0]),v=o&&m&&!g,y=m&&!v?p.length:t.length;if(n=Array.isArray(n)?n:[],o)for(s=0;s<y;s++)for(d[s]=[],c=Array.isArray(t[s])?t[s]:[],f=v?p.length:m?p[s].length:c.length,l=0;l<f;l++)u=v?p[l]:m?p[s][l]:p,void 0!==(h=a(c[l],u,(n[s]||[])[l]))&&(d[s][l]=h);else for(s=0;s<y;s++)void 0!==(h=a(t[s],m?p[s]:p,n[s]))&&(d[s]=h);e.set(d)}else e.set(n)},validateFunction:function(t,e){if(!Array.isArray(t))return!1;var r=e.items,n=Array.isArray(r),i=2===e.dimensions;if(!e.freeLength&&t.length!==r.length)return!1;for(var a=0;a<t.length;a++)if(i){if(!Array.isArray(t[a])||!e.freeLength&&t[a].length!==r[a].length)return!1;for(var o=0;o<t[a].length;o++)if(!p(t[a][o],n?r[a][o]:r))return!1}else if(!p(t[a],n?r[a]:r))return!1;return!0}}},r.coerce=function(t,e,n,i,a){var o=c(n,i).get(),s=c(t,i),l=c(e,i),u=s.get(),f=e._template;if(void 0===u&&f&&(u=c(f,i).get(),f=0),void 0===a&&(a=o.dflt),o.arrayOk&&h(u))return l.set(u),u;var d=r.valObjectMeta[o.valType].coerceFunction;d(u,l,a,o);var m=l.get();return f&&m===a&&!p(u,o)&&(d(u=c(f,i).get(),l,a,o),m=l.get()),m},r.coerce2=function(t,e,n,i,a){var o=c(t,i),s=r.coerce(t,e,n,i,a),l=o.get();return null!=l&&s},r.coerceFont=function(t,e,r){var n={};return r=r||{},n.family=t(e+".family",r.family),n.size=t(e+".size",r.size),n.color=t(e+".color",r.color),n},r.coercePattern=function(t,e,r,n){if(t(e+".shape")){t(e+".solidity"),t(e+".size");var i="overlay"===t(e+".fillmode");if(!n){var a=t(e+".bgcolor",i?r:void 0);t(e+".fgcolor",i?s.contrast(a):r)}t(e+".fgopacity",i?.5:1)}},r.coerceHoverinfo=function(t,e,n){var i,o=e._module.attributes,s=o.hoverinfo?o:a,l=s.hoverinfo;if(1===n._dataLength){var c="all"===l.dflt?l.flags.slice():l.dflt.split("+");c.splice(c.indexOf("name"),1),i=c.join("+")}return r.coerce(t,e,s,"hoverinfo",i)},r.coerceSelectionMarkerOpacity=function(t,e){if(t.marker){var r,n,i=t.marker.opacity;if(void 0!==i)h(i)||t.selected||t.unselected||(r=i,n=l*i),e("selected.marker.opacity",r),e("unselected.marker.opacity",n)}},r.validate=p},{"../components/color":361,"../components/colorscale/scales":376,"../constants/interactions":473,"../plots/attributes":545,"./array":480,"./mod":505,"./nested_property":506,"./regex":515,"fast-isnumeric":185,tinycolor2:307}],485:[function(t,e,r){"use strict";var n,i,a=t("d3-time-format").timeFormat,o=t("fast-isnumeric"),s=t("./loggers"),l=t("./mod").mod,c=t("../constants/numerical"),u=c.BADNUM,f=c.ONEDAY,h=c.ONEHOUR,p=c.ONEMIN,d=c.ONESEC,m=c.EPOCHJD,g=t("../registry"),v=t("d3-time-format").utcFormat,y=/^\s*(-?\d\d\d\d|\d\d)(-(\d?\d)(-(\d?\d)([ Tt]([01]?\d|2[0-3])(:([0-5]\d)(:([0-5]\d(\.\d+)?))?(Z|z|[+\-]\d\d(:?\d\d)?)?)?)?)?)?\s*$/m,x=/^\s*(-?\d\d\d\d|\d\d)(-(\d?\di?)(-(\d?\d)([ Tt]([01]?\d|2[0-3])(:([0-5]\d)(:([0-5]\d(\.\d+)?))?(Z|z|[+\-]\d\d(:?\d\d)?)?)?)?)?)?\s*$/m,b=(new Date).getFullYear()-70;function _(t){return t&&g.componentsRegistry.calendars&&"string"==typeof t&&"gregorian"!==t}function w(t,e){return String(t+Math.pow(10,e)).substr(1)}r.dateTick0=function(t,e){var n=function(t,e){return _(t)?e?g.getComponentMethod("calendars","CANONICAL_SUNDAY")[t]:g.getComponentMethod("calendars","CANONICAL_TICK")[t]:e?"2000-01-02":"2000-01-01"}(t,!!e);if(e<2)return n;var i=r.dateTime2ms(n,t);return i+=f*(e-1),r.ms2DateTime(i,0,t)},r.dfltRange=function(t){return _(t)?g.getComponentMethod("calendars","DFLTRANGE")[t]:["2000-01-01","2001-01-01"]},r.isJSDate=function(t){return"object"==typeof t&&null!==t&&"function"==typeof t.getTime},r.dateTime2ms=function(t,e){if(r.isJSDate(t)){var a=t.getTimezoneOffset()*p,o=(t.getUTCMinutes()-t.getMinutes())*p+(t.getUTCSeconds()-t.getSeconds())*d+(t.getUTCMilliseconds()-t.getMilliseconds());if(o){var s=3*p;a=a-s/2+l(o-a+s/2,s)}return(t=Number(t)-a)>=n&&t<=i?t:u}if("string"!=typeof t&&"number"!=typeof t)return u;t=String(t);var c=_(e),v=t.charAt(0);!c||"G"!==v&&"g"!==v||(t=t.substr(1),e="");var w=c&&"chinese"===e.substr(0,7),T=t.match(w?x:y);if(!T)return u;var k=T[1],A=T[3]||"1",M=Number(T[5]||1),S=Number(T[7]||0),E=Number(T[9]||0),L=Number(T[11]||0);if(c){if(2===k.length)return u;var C;k=Number(k);try{var P=g.getComponentMethod("calendars","getCal")(e);if(w){var I="i"===A.charAt(A.length-1);A=parseInt(A,10),C=P.newDate(k,P.toMonthIndex(k,A,I),M)}else C=P.newDate(k,Number(A),M)}catch(t){return u}return C?(C.toJD()-m)*f+S*h+E*p+L*d:u}k=2===k.length?(Number(k)+2e3-b)%100+b:Number(k),A-=1;var O=new Date(Date.UTC(2e3,A,M,S,E));return O.setUTCFullYear(k),O.getUTCMonth()!==A||O.getUTCDate()!==M?u:O.getTime()+L*d},n=r.MIN_MS=r.dateTime2ms("-9999"),i=r.MAX_MS=r.dateTime2ms("9999-12-31 23:59:59.9999"),r.isDateTime=function(t,e){return r.dateTime2ms(t,e)!==u};var T=90*f,k=3*h,A=5*p;function M(t,e,r,n,i){if((e||r||n||i)&&(t+=" "+w(e,2)+":"+w(r,2),(n||i)&&(t+=":"+w(n,2),i))){for(var a=4;i%10==0;)a-=1,i/=10;t+="."+w(i,a)}return t}r.ms2DateTime=function(t,e,r){if("number"!=typeof t||!(t>=n&&t<=i))return u;e||(e=0);var a,o,s,c,y,x,b=Math.floor(10*l(t+.05,1)),w=Math.round(t-b/10);if(_(r)){var S=Math.floor(w/f)+m,E=Math.floor(l(t,f));try{a=g.getComponentMethod("calendars","getCal")(r).fromJD(S).formatDate("yyyy-mm-dd")}catch(t){a=v("G%Y-%m-%d")(new Date(w))}if("-"===a.charAt(0))for(;a.length<11;)a="-0"+a.substr(1);else for(;a.length<10;)a="0"+a;o=e<T?Math.floor(E/h):0,s=e<T?Math.floor(E%h/p):0,c=e<k?Math.floor(E%p/d):0,y=e<A?E%d*10+b:0}else x=new Date(w),a=v("%Y-%m-%d")(x),o=e<T?x.getUTCHours():0,s=e<T?x.getUTCMinutes():0,c=e<k?x.getUTCSeconds():0,y=e<A?10*x.getUTCMilliseconds()+b:0;return M(a,o,s,c,y)},r.ms2DateTimeLocal=function(t){if(!(t>=n+f&&t<=i-f))return u;var e=Math.floor(10*l(t+.05,1)),r=new Date(Math.round(t-e/10));return M(a("%Y-%m-%d")(r),r.getHours(),r.getMinutes(),r.getSeconds(),10*r.getUTCMilliseconds()+e)},r.cleanDate=function(t,e,n){if(t===u)return e;if(r.isJSDate(t)||"number"==typeof t&&isFinite(t)){if(_(n))return s.error("JS Dates and milliseconds are incompatible with world calendars",t),e;if(!(t=r.ms2DateTimeLocal(+t))&&void 0!==e)return e}else if(!r.isDateTime(t,n))return s.error("unrecognized date",t),e;return t};var S=/%\d?f/g,E=/%h/g,L={1:"1",2:"1",3:"2",4:"2"};function C(t,e,r,n){t=t.replace(S,(function(t){var r=Math.min(+t.charAt(1)||6,6);return(e/1e3%1+2).toFixed(r).substr(2).replace(/0+$/,"")||"0"}));var i=new Date(Math.floor(e+.05));if(t=t.replace(E,(function(){return L[r("%q")(i)]})),_(n))try{t=g.getComponentMethod("calendars","worldCalFmt")(t,e,n)}catch(t){return"Invalid"}return r(t)(i)}var P=[59,59.9,59.99,59.999,59.9999];r.formatDate=function(t,e,r,n,i,a){if(i=_(i)&&i,!e)if("y"===r)e=a.year;else if("m"===r)e=a.month;else{if("d"!==r)return function(t,e){var r=l(t+.05,f),n=w(Math.floor(r/h),2)+":"+w(l(Math.floor(r/p),60),2);if("M"!==e){o(e)||(e=0);var i=(100+Math.min(l(t/d,60),P[e])).toFixed(e).substr(1);e>0&&(i=i.replace(/0+$/,"").replace(/[\.]$/,"")),n+=":"+i}return n}(t,r)+"\n"+C(a.dayMonthYear,t,n,i);e=a.dayMonth+"\n"+a.year}return C(e,t,n,i)};var I=3*f;r.incrementMonth=function(t,e,r){r=_(r)&&r;var n=l(t,f);if(t=Math.round(t-n),r)try{var i=Math.round(t/f)+m,a=g.getComponentMethod("calendars","getCal")(r),o=a.fromJD(i);return e%12?a.add(o,e,"m"):a.add(o,e/12,"y"),(o.toJD()-m)*f+n}catch(e){s.error("invalid ms "+t+" in calendar "+r)}var c=new Date(t+I);return c.setUTCMonth(c.getUTCMonth()+e)+n-I},r.findExactDates=function(t,e){for(var r,n,i=0,a=0,s=0,l=0,c=_(e)&&g.getComponentMethod("calendars","getCal")(e),u=0;u<t.length;u++)if(n=t[u],o(n)){if(!(n%f))if(c)try{1===(r=c.fromJD(n/f+m)).day()?1===r.month()?i++:a++:s++}catch(t){}else 1===(r=new Date(n)).getUTCDate()?0===r.getUTCMonth()?i++:a++:s++}else l++;s+=a+=i;var h=t.length-l;return{exactYears:i/h,exactMonths:a/h,exactDays:s/h}}},{"../constants/numerical":474,"../registry":633,"./loggers":502,"./mod":505,"d3-time-format":115,"fast-isnumeric":185}],486:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("./loggers"),a=t("./matrix"),o=t("gl-mat4");function s(t){var e=t&&t.parentNode;e&&e.removeChild(t)}function l(t,e,r){var n="plotly.js-style-"+t,a=document.getElementById(n);a||((a=document.createElement("style")).setAttribute("id",n),a.appendChild(document.createTextNode("")),document.head.appendChild(a));var o=a.sheet;o.insertRule?o.insertRule(e+"{"+r+"}",0):o.addRule?o.addRule(e,r,0):i.warn("addStyleRule failed")}function c(t){var e=window.getComputedStyle(t,null),r=e.getPropertyValue("-webkit-transform")||e.getPropertyValue("-moz-transform")||e.getPropertyValue("-ms-transform")||e.getPropertyValue("-o-transform")||e.getPropertyValue("transform");return"none"===r?null:r.replace("matrix","").replace("3d","").slice(1,-1).split(",").map((function(t){return+t}))}function u(t){for(var e=[];f(t);)e.push(t),t=t.parentNode;return e}function f(t){return t&&(t instanceof Element||t instanceof HTMLElement)}e.exports={getGraphDiv:function(t){var e;if("string"==typeof t){if(null===(e=document.getElementById(t)))throw new Error("No DOM element with id '"+t+"' exists on the page.");return e}if(null==t)throw new Error("DOM element provided is null or undefined");return t},isPlotDiv:function(t){var e=n.select(t);return e.node()instanceof HTMLElement&&e.size()&&e.classed("js-plotly-plot")},removeElement:s,addStyleRule:function(t,e){l("global",t,e)},addRelatedStyleRule:l,deleteRelatedStyleRule:function(t){var e="plotly.js-style-"+t,r=document.getElementById(e);r&&s(r)},getFullTransformMatrix:function(t){var e=u(t),r=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];return e.forEach((function(t){var e=c(t);if(e){var n=a.convertCssMatrix(e);r=o.multiply(r,r,n)}})),r},getElementTransformMatrix:c,getElementAndAncestors:u,equalDomRects:function(t,e){return t&&e&&t.x===e.x&&t.y===e.y&&t.top===e.top&&t.left===e.left&&t.right===e.right&&t.bottom===e.bottom}}},{"./loggers":502,"./matrix":504,"@plotly/d3":58,"gl-mat4":205}],487:[function(t,e,r){"use strict";var n=t("events").EventEmitter,i={init:function(t){if(t._ev instanceof n)return t;var e=new n,r=new n;return t._ev=e,t._internalEv=r,t.on=e.on.bind(e),t.once=e.once.bind(e),t.removeListener=e.removeListener.bind(e),t.removeAllListeners=e.removeAllListeners.bind(e),t._internalOn=r.on.bind(r),t._internalOnce=r.once.bind(r),t._removeInternalListener=r.removeListener.bind(r),t._removeAllInternalListeners=r.removeAllListeners.bind(r),t.emit=function(n,i){"undefined"!=typeof jQuery&&jQuery(t).trigger(n,i),e.emit(n,i),r.emit(n,i)},t},triggerHandler:function(t,e,r){var n,i;"undefined"!=typeof jQuery&&(n=jQuery(t).triggerHandler(e,r));var a=t._ev;if(!a)return n;var o,s=a._events[e];if(!s)return n;function l(t){return t.listener?(a.removeListener(e,t.listener),t.fired?void 0:(t.fired=!0,t.listener.apply(a,[r]))):t.apply(a,[r])}for(s=Array.isArray(s)?s:[s],o=0;o<s.length-1;o++)l(s[o]);return i=l(s[o]),void 0!==n?n:i},purge:function(t){return delete t._ev,delete t.on,delete t.once,delete t.removeListener,delete t.removeAllListeners,delete t.emit,delete t._ev,delete t._internalEv,delete t._internalOn,delete t._internalOnce,delete t._removeInternalListener,delete t._removeAllInternalListeners,t}};e.exports=i},{events:181}],488:[function(t,e,r){"use strict";var n=t("./is_plain_object.js"),i=Array.isArray;function a(t,e,r,o){var s,l,c,u,f,h,p=t[0],d=t.length;if(2===d&&i(p)&&i(t[1])&&0===p.length){if(function(t,e){var r,n;for(r=0;r<t.length;r++){if(null!==(n=t[r])&&"object"==typeof n)return!1;void 0!==n&&(e[r]=n)}return!0}(t[1],p))return p;p.splice(0,p.length)}for(var m=1;m<d;m++)for(l in s=t[m])c=p[l],u=s[l],o&&i(u)?p[l]=u:e&&u&&(n(u)||(f=i(u)))?(f?(f=!1,h=c&&i(c)?c:[]):h=c&&n(c)?c:{},p[l]=a([h,u],e,r,o)):(void 0!==u||r)&&(p[l]=u);return p}r.extendFlat=function(){return a(arguments,!1,!1,!1)},r.extendDeep=function(){return a(arguments,!0,!1,!1)},r.extendDeepAll=function(){return a(arguments,!0,!0,!1)},r.extendDeepNoArrays=function(){return a(arguments,!0,!1,!0)}},{"./is_plain_object.js":499}],489:[function(t,e,r){"use strict";e.exports=function(t){for(var e={},r=[],n=0,i=0;i<t.length;i++){var a=t[i];1!==e[a]&&(e[a]=1,r[n++]=a)}return r}},{}],490:[function(t,e,r){"use strict";function n(t){return!0===t.visible}function i(t){var e=t[0].trace;return!0===e.visible&&0!==e._length}e.exports=function(t){for(var e,r=(e=t,Array.isArray(e)&&Array.isArray(e[0])&&e[0][0]&&e[0][0].trace?i:n),a=[],o=0;o<t.length;o++){var s=t[o];r(s)&&a.push(s)}return a}},{}],491:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("country-regex"),a=t("@turf/area"),o=t("@turf/centroid"),s=t("@turf/bbox"),l=t("./identity"),c=t("./loggers"),u=t("./is_plain_object"),f=t("./nested_property"),h=t("./polygon"),p=Object.keys(i),d={"ISO-3":l,"USA-states":l,"country names":function(t){for(var e=0;e<p.length;e++){var r=p[e];if(new RegExp(i[r]).test(t.trim().toLowerCase()))return r}return c.log("Unrecognized country name: "+t+"."),!1}};function m(t){var e=t.geojson,r=window.PlotlyGeoAssets||{},n="string"==typeof e?r[e]:e;return u(n)?n:(c.error("Oops ... something went wrong when fetching "+e),!1)}e.exports={locationToFeature:function(t,e,r){if(!e||"string"!=typeof e)return!1;var n,i,a,o=d[t](e);if(o){if("USA-states"===t)for(n=[],a=0;a<r.length;a++)(i=r[a]).properties&&i.properties.gu&&"USA"===i.properties.gu&&n.push(i);else n=r;for(a=0;a<n.length;a++)if((i=n[a]).id===o)return i;c.log(["Location with id",o,"does not have a matching topojson feature at this resolution."].join(" "))}return!1},feature2polygons:function(t){var e,r,n,i,a=t.geometry,o=a.coordinates,s=t.id,l=[];function c(t){for(var e=0;e<t.length-1;e++)if(t[e][0]>0&&t[e+1][0]<0)return e;return null}switch(e="RUS"===s||"FJI"===s?function(t){var e;if(null===c(t))e=t;else for(e=new Array(t.length),i=0;i<t.length;i++)e[i]=[t[i][0]<0?t[i][0]+360:t[i][0],t[i][1]];l.push(h.tester(e))}:"ATA"===s?function(t){var e=c(t);if(null===e)return l.push(h.tester(t));var r=new Array(t.length+1),n=0;for(i=0;i<t.length;i++)i>e?r[n++]=[t[i][0]+360,t[i][1]]:i===e?(r[n++]=t[i],r[n++]=[t[i][0],-90]):r[n++]=t[i];var a=h.tester(r);a.pts.pop(),l.push(a)}:function(t){l.push(h.tester(t))},a.type){case"MultiPolygon":for(r=0;r<o.length;r++)for(n=0;n<o[r].length;n++)e(o[r][n]);break;case"Polygon":for(r=0;r<o.length;r++)e(o[r])}return l},getTraceGeojson:m,extractTraceFeature:function(t){var e=t[0].trace,r=m(e);if(!r)return!1;var n,i={},s=[];for(n=0;n<e._length;n++){var l=t[n];(l.loc||0===l.loc)&&(i[l.loc]=l)}function u(t){var r=f(t,e.featureidkey||"id").get(),n=i[r];if(n){var l=t.geometry;if("Polygon"===l.type||"MultiPolygon"===l.type){var u={type:"Feature",id:r,geometry:l,properties:{}};u.properties.ct=function(t){var e,r=t.geometry;if("MultiPolygon"===r.type)for(var n=r.coordinates,i=0,s=0;s<n.length;s++){var l={type:"Polygon",coordinates:n[s]},c=a.default(l);c>i&&(i=c,e=l)}else e=r;return o.default(e).geometry.coordinates}(u),n.fIn=t,n.fOut=u,s.push(u)}else c.log(["Location",n.loc,"does not have a valid GeoJSON geometry.","Traces with locationmode *geojson-id* only support","*Polygon* and *MultiPolygon* geometries."].join(" "))}delete i[r]}switch(r.type){case"FeatureCollection":var h=r.features;for(n=0;n<h.length;n++)u(h[n]);break;case"Feature":u(r);break;default:return c.warn(["Invalid GeoJSON type",(r.type||"none")+".","Traces with locationmode *geojson-id* only support","*FeatureCollection* and *Feature* types."].join(" ")),!1}for(var p in i)c.log(["Location *"+p+"*","does not have a matching feature with id-key","*"+e.featureidkey+"*."].join(" "));return s},fetchTraceGeoData:function(t){var e=window.PlotlyGeoAssets||{},r=[];function i(t){return new Promise((function(r,i){n.json(t,(function(n,a){if(n){delete e[t];var o=404===n.status?'GeoJSON at URL "'+t+'" does not exist.':"Unexpected error while fetching from "+t;return i(new Error(o))}return e[t]=a,r(a)}))}))}function a(t){return new Promise((function(r,n){var i=0,a=setInterval((function(){return e[t]&&"pending"!==e[t]?(clearInterval(a),r(e[t])):i>100?(clearInterval(a),n("Unexpected error while fetching from "+t)):void i++}),50)}))}for(var o=0;o<t.length;o++){var s=t[o][0].trace.geojson;"string"==typeof s&&(e[s]?"pending"===e[s]&&r.push(a(s)):(e[s]="pending",r.push(i(s))))}return r},computeBbox:function(t){return s.default(t)}}},{"./identity":496,"./is_plain_object":499,"./loggers":502,"./nested_property":506,"./polygon":510,"@plotly/d3":58,"@turf/area":61,"@turf/bbox":62,"@turf/centroid":63,"country-regex":89}],492:[function(t,e,r){"use strict";var n=t("../constants/numerical").BADNUM;r.calcTraceToLineCoords=function(t){for(var e=t[0].trace.connectgaps,r=[],i=[],a=0;a<t.length;a++){var o=t[a].lonlat;o[0]!==n?i.push(o):!e&&i.length>0&&(r.push(i),i=[])}return i.length>0&&r.push(i),r},r.makeLine=function(t){return 1===t.length?{type:"LineString",coordinates:t[0]}:{type:"MultiLineString",coordinates:t}},r.makePolygon=function(t){if(1===t.length)return{type:"Polygon",coordinates:t};for(var e=new Array(t.length),r=0;r<t.length;r++)e[r]=[t[r]];return{type:"MultiPolygon",coordinates:e}},r.makeBlank=function(){return{type:"Point",coordinates:[]}}},{"../constants/numerical":474}],493:[function(t,e,r){"use strict";var n,i,a,o=t("./mod").mod;function s(t,e,r,n,i,a,o,s){var l=r-t,c=i-t,u=o-i,f=n-e,h=a-e,p=s-a,d=l*p-u*f;if(0===d)return null;var m=(c*p-u*h)/d,g=(c*f-l*h)/d;return g<0||g>1||m<0||m>1?null:{x:t+l*m,y:e+f*m}}function l(t,e,r,n,i){var a=n*t+i*e;if(a<0)return n*n+i*i;if(a>r){var o=n-t,s=i-e;return o*o+s*s}var l=n*e-i*t;return l*l/r}r.segmentsIntersect=s,r.segmentDistance=function(t,e,r,n,i,a,o,c){if(s(t,e,r,n,i,a,o,c))return 0;var u=r-t,f=n-e,h=o-i,p=c-a,d=u*u+f*f,m=h*h+p*p,g=Math.min(l(u,f,d,i-t,a-e),l(u,f,d,o-t,c-e),l(h,p,m,t-i,e-a),l(h,p,m,r-i,n-a));return Math.sqrt(g)},r.getTextLocation=function(t,e,r,s){if(t===i&&s===a||(n={},i=t,a=s),n[r])return n[r];var l=t.getPointAtLength(o(r-s/2,e)),c=t.getPointAtLength(o(r+s/2,e)),u=Math.atan((c.y-l.y)/(c.x-l.x)),f=t.getPointAtLength(o(r,e)),h={x:(4*f.x+l.x+c.x)/6,y:(4*f.y+l.y+c.y)/6,theta:u};return n[r]=h,h},r.clearLocationCache=function(){i=null},r.getVisibleSegment=function(t,e,r){var n,i,a=e.left,o=e.right,s=e.top,l=e.bottom,c=0,u=t.getTotalLength(),f=u;function h(e){var r=t.getPointAtLength(e);0===e?n=r:e===u&&(i=r);var c=r.x<a?a-r.x:r.x>o?r.x-o:0,f=r.y<s?s-r.y:r.y>l?r.y-l:0;return Math.sqrt(c*c+f*f)}for(var p=h(c);p;){if((c+=p+r)>f)return;p=h(c)}for(p=h(f);p;){if(c>(f-=p+r))return;p=h(f)}return{min:c,max:f,len:f-c,total:u,isClosed:0===c&&f===u&&Math.abs(n.x-i.x)<.1&&Math.abs(n.y-i.y)<.1}},r.findPointOnPath=function(t,e,r,n){for(var i,a,o,s=(n=n||{}).pathLength||t.getTotalLength(),l=n.tolerance||.001,c=n.iterationLimit||30,u=t.getPointAtLength(0)[r]>t.getPointAtLength(s)[r]?-1:1,f=0,h=0,p=s;f<c;){if(i=(h+p)/2,o=(a=t.getPointAtLength(i))[r]-e,Math.abs(o)<l)return a;u*o>0?p=i:h=i,f++}return a}},{"./mod":505}],494:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("color-normalize"),o=t("../components/colorscale"),s=t("../components/color/attributes").defaultLine,l=t("./array").isArrayOrTypedArray,c=a(s);function u(t,e){var r=t;return r[3]*=e,r}function f(t){if(n(t))return c;var e=a(t);return e.length?e:c}function h(t){return n(t)?t:1}e.exports={formatColor:function(t,e,r){var n,i,s,p,d,m=t.color,g=l(m),v=l(e),y=o.extractOpts(t),x=[];if(n=void 0!==y.colorscale?o.makeColorScaleFuncFromTrace(t):f,i=g?function(t,e){return void 0===t[e]?c:a(n(t[e]))}:f,s=v?function(t,e){return void 0===t[e]?1:h(t[e])}:h,g||v)for(var b=0;b<r;b++)p=i(m,b),d=s(e,b),x[b]=u(p,d);else x=u(a(m),e);return x},parseColorScale:function(t){var e=o.extractOpts(t),r=e.colorscale;return e.reversescale&&(r=o.flipScale(e.colorscale)),r.map((function(t){var e=t[0],r=i(t[1]).toRgb();return{index:e,rgb:[r.r,r.g,r.b,r.a]}}))}}},{"../components/color/attributes":360,"../components/colorscale":373,"./array":480,"color-normalize":84,"fast-isnumeric":185,tinycolor2:307}],495:[function(t,e,r){"use strict";var n=t("./identity");function i(t){return[t]}e.exports={keyFun:function(t){return t.key},repeat:i,descend:n,wrap:i,unwrap:function(t){return t[0]}}},{"./identity":496}],496:[function(t,e,r){"use strict";e.exports=function(t){return t}},{}],497:[function(t,e,r){"use strict";e.exports=function(t,e){if(!e)return t;var r=1/Math.abs(e),n=r>1?(r*t+r*e)/r:t+e,i=String(n).length;if(i>16){var a=String(e).length;if(i>=String(t).length+a){var o=parseFloat(n).toPrecision(12);-1===o.indexOf("e+")&&(n=+o)}}return n}},{}],498:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-time-format").utcFormat,a=t("d3-format").format,o=t("fast-isnumeric"),s=t("../constants/numerical"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\d[.]\df/.test(t)||/[.]\d%/.test(t)?t:"0.f"===t?"~f":/^\d%/.test(t)?"~%":/^\ds/.test(t)?"~s":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?"~"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: "'+e+'"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t("./nested_property"),f.keyedContainer=t("./keyed_container"),f.relativeAttr=t("./relative_attr"),f.isPlainObject=t("./is_plain_object"),f.toLogRange=t("./to_log_range"),f.relinkPrivateKeys=t("./relink_private");var p=t("./array");f.isTypedArray=p.isTypedArray,f.isArrayOrTypedArray=p.isArrayOrTypedArray,f.isArray1D=p.isArray1D,f.ensureArray=p.ensureArray,f.concat=p.concat,f.maxRowLength=p.maxRowLength,f.minRowLength=p.minRowLength;var d=t("./mod");f.mod=d.mod,f.modHalf=d.modHalf;var m=t("./coerce");f.valObjectMeta=m.valObjectMeta,f.coerce=m.coerce,f.coerce2=m.coerce2,f.coerceFont=m.coerceFont,f.coercePattern=m.coercePattern,f.coerceHoverinfo=m.coerceHoverinfo,f.coerceSelectionMarkerOpacity=m.coerceSelectionMarkerOpacity,f.validate=m.validate;var g=t("./dates");f.dateTime2ms=g.dateTime2ms,f.isDateTime=g.isDateTime,f.ms2DateTime=g.ms2DateTime,f.ms2DateTimeLocal=g.ms2DateTimeLocal,f.cleanDate=g.cleanDate,f.isJSDate=g.isJSDate,f.formatDate=g.formatDate,f.incrementMonth=g.incrementMonth,f.dateTick0=g.dateTick0,f.dfltRange=g.dfltRange,f.findExactDates=g.findExactDates,f.MIN_MS=g.MIN_MS,f.MAX_MS=g.MAX_MS;var v=t("./search");f.findBin=v.findBin,f.sorterAsc=v.sorterAsc,f.sorterDes=v.sorterDes,f.distinctVals=v.distinctVals,f.roundUp=v.roundUp,f.sort=v.sort,f.findIndexOfMin=v.findIndexOfMin,f.sortObjectKeys=t("./sort_object_keys");var y=t("./stats");f.aggNums=y.aggNums,f.len=y.len,f.mean=y.mean,f.median=y.median,f.midRange=y.midRange,f.variance=y.variance,f.stdev=y.stdev,f.interp=y.interp;var x=t("./matrix");f.init2dArray=x.init2dArray,f.transposeRagged=x.transposeRagged,f.dot=x.dot,f.translationMatrix=x.translationMatrix,f.rotationMatrix=x.rotationMatrix,f.rotationXYMatrix=x.rotationXYMatrix,f.apply3DTransform=x.apply3DTransform,f.apply2DTransform=x.apply2DTransform,f.apply2DTransform2=x.apply2DTransform2,f.convertCssMatrix=x.convertCssMatrix,f.inverseTransformMatrix=x.inverseTransformMatrix;var b=t("./angles");f.deg2rad=b.deg2rad,f.rad2deg=b.rad2deg,f.angleDelta=b.angleDelta,f.angleDist=b.angleDist,f.isFullCircle=b.isFullCircle,f.isAngleInsideSector=b.isAngleInsideSector,f.isPtInsideSector=b.isPtInsideSector,f.pathArc=b.pathArc,f.pathSector=b.pathSector,f.pathAnnulus=b.pathAnnulus;var _=t("./anchor_utils");f.isLeftAnchor=_.isLeftAnchor,f.isCenterAnchor=_.isCenterAnchor,f.isRightAnchor=_.isRightAnchor,f.isTopAnchor=_.isTopAnchor,f.isMiddleAnchor=_.isMiddleAnchor,f.isBottomAnchor=_.isBottomAnchor;var w=t("./geometry2d");f.segmentsIntersect=w.segmentsIntersect,f.segmentDistance=w.segmentDistance,f.getTextLocation=w.getTextLocation,f.clearLocationCache=w.clearLocationCache,f.getVisibleSegment=w.getVisibleSegment,f.findPointOnPath=w.findPointOnPath;var T=t("./extend");f.extendFlat=T.extendFlat,f.extendDeep=T.extendDeep,f.extendDeepAll=T.extendDeepAll,f.extendDeepNoArrays=T.extendDeepNoArrays;var k=t("./loggers");f.log=k.log,f.warn=k.warn,f.error=k.error;var A=t("./regex");f.counterRegex=A.counter;var M=t("./throttle");f.throttle=M.throttle,f.throttleDone=M.done,f.clearThrottle=M.clear;var S=t("./dom");function E(t){var e={};for(var r in t)for(var n=t[r],i=0;i<n.length;i++)e[n[i]]=+r;return e}f.getGraphDiv=S.getGraphDiv,f.isPlotDiv=S.isPlotDiv,f.removeElement=S.removeElement,f.addStyleRule=S.addStyleRule,f.addRelatedStyleRule=S.addRelatedStyleRule,f.deleteRelatedStyleRule=S.deleteRelatedStyleRule,f.getFullTransformMatrix=S.getFullTransformMatrix,f.getElementTransformMatrix=S.getElementTransformMatrix,f.getElementAndAncestors=S.getElementAndAncestors,f.equalDomRects=S.equalDomRects,f.clearResponsive=t("./clear_responsive"),f.preserveDrawingBuffer=t("./preserve_drawing_buffer"),f.makeTraceGroups=t("./make_trace_groups"),f._=t("./localize"),f.notifier=t("./notifier"),f.filterUnique=t("./filter_unique"),f.filterVisible=t("./filter_visible"),f.pushUnique=t("./push_unique"),f.increment=t("./increment"),f.cleanNumber=t("./clean_number"),f.ensureNumber=function(t){return o(t)?(t=Number(t))>l||t<c?u:t:u},f.isIndex=function(t,e){return!(void 0!==e&&t>=e)&&(o(t)&&t>=0&&t%1==0)},f.noop=t("./noop"),f.identity=t("./identity"),f.repeat=function(t,e){for(var r=new Array(e),n=0;n<e;n++)r[n]=t;return r},f.swapAttrs=function(t,e,r,n){r||(r="x"),n||(n="y");for(var i=0;i<e.length;i++){var a=e[i],o=f.nestedProperty(t,a.replace("?",r)),s=f.nestedProperty(t,a.replace("?",n)),l=o.get();o.set(s.get()),s.set(l)}},f.raiseToTop=function(t){t.parentNode.appendChild(t)},f.cancelTransition=function(t){return t.transition().duration(0)},f.constrain=function(t,e,r){return e>r?Math.max(r,Math.min(e,t)):Math.max(e,Math.min(r,t))},f.bBoxIntersect=function(t,e,r){return r=r||0,t.left<=e.right+r&&e.left<=t.right+r&&t.top<=e.bottom+r&&e.top<=t.bottom+r},f.simpleMap=function(t,e,r,n,i){for(var a=t.length,o=new Array(a),s=0;s<a;s++)o[s]=e(t[s],r,n,i);return o},f.randstr=function t(e,r,n,i){if(n||(n=16),void 0===r&&(r=24),r<=0)return"0";var a,o,s=Math.log(Math.pow(2,r))/Math.log(n),l="";for(a=2;s===1/0;a*=2)s=Math.log(Math.pow(2,r/a))/Math.log(n)*a;var c=s-Math.floor(s);for(a=0;a<Math.floor(s);a++)l=Math.floor(Math.random()*n).toString(n)+l;c&&(o=Math.pow(n,c),l=Math.floor(Math.random()*o).toString(n)+l);var u=parseInt(l,n);return e&&e[l]||u!==1/0&&u>=Math.pow(2,r)?i>10?(f.warn("randstr failed uniqueness"),l):t(e,r,n,(i||0)+1):l},f.OptionControl=function(t,e){t||(t={}),e||(e="opt");var r={optionList:[],_newoption:function(n){n[e]=t,r[n.name]=n,r.optionList.push(n)}};return r["_"+e]=t,r},f.smooth=function(t,e){if((e=Math.round(e)||0)<2)return t;var r,n,i,a,o=t.length,s=2*o,l=2*e-1,c=new Array(l),u=new Array(o);for(r=0;r<l;r++)c[r]=(1-Math.cos(Math.PI*(r+1)/e))/(2*e);for(r=0;r<o;r++){for(a=0,n=0;n<l;n++)(i=r+n+1-e)<-o?i-=s*Math.round(i/s):i>=s&&(i-=s*Math.floor(i/s)),i<0?i=-1-i:i>=o&&(i=s-1-i),a+=t[i]*c[n];u[r]=a}return u},f.syncOrAsync=function(t,e,r){var n;function i(){return f.syncOrAsync(t,e,r)}for(;t.length;)if((n=(0,t.splice(0,1)[0])(e))&&n.then)return n.then(i);return r&&r(e)},f.stripTrailingSlash=function(t){return"/"===t.substr(-1)?t.substr(0,t.length-1):t},f.noneOrAll=function(t,e,r){if(t){var n,i=!1,a=!0;for(n=0;n<r.length;n++)null!=t[r[n]]?i=!0:a=!1;if(i&&!a)for(n=0;n<r.length;n++)t[r[n]]=e[r[n]]}},f.mergeArray=function(t,e,r,n){var i="function"==typeof n;if(f.isArrayOrTypedArray(t))for(var a=Math.min(t.length,e.length),o=0;o<a;o++){var s=t[o];e[o][r]=i?n(s):s}},f.mergeArrayCastPositive=function(t,e,r){return f.mergeArray(t,e,r,(function(t){var e=+t;return isFinite(e)&&e>0?e:0}))},f.fillArray=function(t,e,r,n){if(n=n||f.identity,f.isArrayOrTypedArray(t))for(var i=0;i<e.length;i++)e[i][r]=n(t[i])},f.castOption=function(t,e,r,n){n=n||f.identity;var i=f.nestedProperty(t,r).get();return f.isArrayOrTypedArray(i)?Array.isArray(e)&&f.isArrayOrTypedArray(i[e[0]])?n(i[e[0]][e[1]]):n(i[e]):i},f.extractOption=function(t,e,r,n){if(r in t)return t[r];var i=f.nestedProperty(e,n).get();return Array.isArray(i)?void 0:i},f.tagSelected=function(t,e,r){var n,i,a=e.selectedpoints,o=e._indexToPoints;o&&(n=E(o));for(var s=0;s<a.length;s++){var l=a[s];if(f.isIndex(l)||f.isArrayOrTypedArray(l)&&f.isIndex(l[0])&&f.isIndex(l[1])){var c=n?n[l]:l,u=r?r[c]:c;void 0!==(i=u)&&i<t.length&&(t[u].selected=1)}}},f.selIndices2selPoints=function(t){var e=t.selectedpoints,r=t._indexToPoints;if(r){for(var n=E(r),i=[],a=0;a<e.length;a++){var o=e[a];if(f.isIndex(o)){var s=n[o];f.isIndex(s)&&i.push(s)}}return i}return e},f.getTargetArray=function(t,e){var r=e.target;if("string"==typeof r&&r){var n=f.nestedProperty(t,r).get();return!!Array.isArray(n)&&n}return!!Array.isArray(r)&&r},f.minExtend=function(t,e){var r={};"object"!=typeof e&&(e={});var n,i,a,o=Object.keys(t);for(n=0;n<o.length;n++)a=t[i=o[n]],"_"!==i.charAt(0)&&"function"!=typeof a&&("module"===i?r[i]=a:Array.isArray(a)?r[i]="colorscale"===i?a.slice():a.slice(0,3):f.isTypedArray(a)?r[i]=a.subarray(0,3):r[i]=a&&"object"==typeof a?f.minExtend(t[i],e[i]):a);for(o=Object.keys(e),n=0;n<o.length;n++)"object"==typeof(a=e[i=o[n]])&&i in r&&"object"==typeof r[i]||(r[i]=a);return r},f.titleCase=function(t){return t.charAt(0).toUpperCase()+t.substr(1)},f.containsAny=function(t,e){for(var r=0;r<e.length;r++)if(-1!==t.indexOf(e[r]))return!0;return!1},f.isIE=function(){return void 0!==window.navigator.msSaveBlob};var L=/Version\/[\d\.]+.*Safari/;f.isSafari=function(){return L.test(window.navigator.userAgent)};var C=/iPad|iPhone|iPod/;f.isIOS=function(){return C.test(window.navigator.userAgent)};var P=/Firefox\/(\d+)\.\d+/;f.getFirefoxVersion=function(){var t=P.exec(window.navigator.userAgent);if(t&&2===t.length){var e=parseInt(t[1]);if(!isNaN(e))return e}return null},f.isD3Selection=function(t){return t instanceof n.selection},f.ensureSingle=function(t,e,r,n){var i=t.select(e+(r?"."+r:""));if(i.size())return i;var a=t.append(e);return r&&a.classed(r,!0),n&&a.call(n),a},f.ensureSingleById=function(t,e,r,n){var i=t.select(e+"#"+r);if(i.size())return i;var a=t.append(e).attr("id",r);return n&&a.call(n),a},f.objectFromPath=function(t,e){for(var r,n=t.split("."),i=r={},a=0;a<n.length;a++){var o=n[a],s=null,l=n[a].match(/(.*)\[([0-9]+)\]/);l?(o=l[1],s=l[2],r=r[o]=[],a===n.length-1?r[s]=e:r[s]={},r=r[s]):(a===n.length-1?r[o]=e:r[o]={},r=r[o])}return i};var I=/^([^\[\.]+)\.(.+)?/,O=/^([^\.]+)\[([0-9]+)\](\.)?(.+)?/;f.expandObjectPaths=function(t){var e,r,n,i,a,o,s;if("object"==typeof t&&!Array.isArray(t))for(r in t)t.hasOwnProperty(r)&&((e=r.match(I))?(i=t[r],n=e[1],delete t[r],t[n]=f.extendDeepNoArrays(t[n]||{},f.objectFromPath(r,f.expandObjectPaths(i))[n])):(e=r.match(O))?(i=t[r],n=e[1],a=parseInt(e[2]),delete t[r],t[n]=t[n]||[],"."===e[3]?(s=e[4],o=t[n][a]=t[n][a]||{},f.extendDeepNoArrays(o,f.objectFromPath(s,f.expandObjectPaths(i)))):t[n][a]=f.expandObjectPaths(i)):t[r]=f.expandObjectPaths(t[r]));return t},f.numSeparate=function(t,e,r){if(r||(r=!1),"string"!=typeof e||0===e.length)throw new Error("Separator string required for formatting!");"number"==typeof t&&(t=String(t));var n=/(\d+)(\d{3})/,i=e.charAt(0),a=e.charAt(1),o=t.split("."),s=o[0],l=o.length>1?i+o[1]:"";if(a&&(o.length>1||s.length>4||r))for(;n.test(s);)s=s.replace(n,"$1"+a+"$2");return s+l},f.TEMPLATE_STRING_REGEX=/%{([^\s%{}:]*)([:|\|][^}]*)?}/g;var z=/^\w*$/;f.templateString=function(t,e){var r={};return t.replace(f.TEMPLATE_STRING_REGEX,(function(t,n){var i;return z.test(n)?i=e[n]:(r[n]=r[n]||f.nestedProperty(e,n).get,i=r[n]()),f.isValidTextValue(i)?i:""}))};var D={max:10,count:0,name:"hovertemplate"};f.hovertemplateString=function(){return B.apply(D,arguments)};var R={max:10,count:0,name:"texttemplate"};f.texttemplateString=function(){return B.apply(R,arguments)};var F=/^[:|\|]/;function B(t,e,r){var n=this,a=arguments;e||(e={});var o={};return t.replace(f.TEMPLATE_STRING_REGEX,(function(t,s,l){var c,u,h,p="_xother"===s||"_yother"===s,d="_xother_"===s||"_yother_"===s,m="xother_"===s||"yother_"===s,g="xother"===s||"yother"===s||p||m||d,v=s;if((p||d)&&(v=v.substring(1)),(m||d)&&(v=v.substring(0,v.length-1)),g){if(void 0===(c=e[v]))return""}else for(h=3;h<a.length;h++)if(u=a[h]){if(u.hasOwnProperty(v)){c=u[v];break}if(z.test(v)||(c=f.nestedProperty(u,v).get(),(c=o[v]||f.nestedProperty(u,v).get())&&(o[v]=c)),void 0!==c)break}if(void 0===c&&n)return n.count<n.max&&(f.warn("Variable '"+v+"' in "+n.name+" could not be found!"),c=t),n.count===n.max&&f.warn("Too many "+n.name+" warnings - additional warnings will be suppressed"),n.count++,t;if(l){var y;if(":"===l[0]&&(c=(y=r?r.numberFormat:f.numberFormat)(l.replace(F,""))(c)),"|"===l[0]){y=r?r.timeFormat:i;var x=f.dateTime2ms(c);c=f.formatDate(x,l.replace(F,""),!1,y)}}else{var b=v+"Label";e.hasOwnProperty(b)&&(c=e[b])}return g&&(c="("+c+")",(p||d)&&(c=" "+c),(m||d)&&(c+=" ")),c}))}f.subplotSort=function(t,e){for(var r=Math.min(t.length,e.length)+1,n=0,i=0,a=0;a<r;a++){var o=t.charCodeAt(a)||0,s=e.charCodeAt(a)||0,l=o>=48&&o<=57,c=s>=48&&s<=57;if(l&&(n=10*n+o-48),c&&(i=10*i+s-48),!l||!c){if(n!==i)return n-i;if(o!==s)return o-s}}return i-n};var N=2e9;f.seedPseudoRandom=function(){N=2e9},f.pseudoRandom=function(){var t=N;return N=(69069*N+1)%4294967296,Math.abs(N-t)<429496729?f.pseudoRandom():N/4294967296},f.fillText=function(t,e,r){var n=Array.isArray(r)?function(t){r.push(t)}:function(t){r.text=t},i=f.extractOption(t,e,"htx","hovertext");if(f.isValidTextValue(i))return n(i);var a=f.extractOption(t,e,"tx","text");return f.isValidTextValue(a)?n(a):void 0},f.isValidTextValue=function(t){return t||0===t},f.formatPercent=function(t,e){e=e||0;for(var r=(Math.round(100*t*Math.pow(10,e))*Math.pow(.1,e)).toFixed(e)+"%",n=0;n<e;n++)-1!==r.indexOf(".")&&(r=(r=r.replace("0%","%")).replace(".%","%"));return r},f.isHidden=function(t){var e=window.getComputedStyle(t).display;return!e||"none"===e},f.strTranslate=function(t,e){return t||e?"translate("+t+","+e+")":""},f.strRotate=function(t){return t?"rotate("+t+")":""},f.strScale=function(t){return 1!==t?"scale("+t+")":""},f.getTextTransform=function(t){var e=t.noCenter,r=t.textX,n=t.textY,i=t.targetX,a=t.targetY,o=t.anchorX||0,s=t.anchorY||0,l=t.rotate,c=t.scale;return c?c>1&&(c=1):c=0,f.strTranslate(i-c*(r+o),a-c*(n+s))+f.strScale(c)+(l?"rotate("+l+(e?"":" "+r+" "+n)+")":"")},f.ensureUniformFontSize=function(t,e){var r=f.extendFlat({},e);return r.size=Math.max(e.size,t._fullLayout.uniformtext.minsize||0),r},f.join2=function(t,e,r){var n=t.length;return n>1?t.slice(0,-1).join(e)+r+t[n-1]:t.join(e)},f.bigFont=function(t){return Math.round(1.2*t)};var j=f.getFirefoxVersion(),U=null!==j&&j<86;f.getPositionFromD3Event=function(){return U?[n.event.layerX,n.event.layerY]:[n.event.offsetX,n.event.offsetY]}},{"../constants/numerical":474,"./anchor_utils":478,"./angles":479,"./array":480,"./clean_number":481,"./clear_responsive":483,"./coerce":484,"./dates":485,"./dom":486,"./extend":488,"./filter_unique":489,"./filter_visible":490,"./geometry2d":493,"./identity":496,"./increment":497,"./is_plain_object":499,"./keyed_container":500,"./localize":501,"./loggers":502,"./make_trace_groups":503,"./matrix":504,"./mod":505,"./nested_property":506,"./noop":507,"./notifier":508,"./preserve_drawing_buffer":512,"./push_unique":513,"./regex":515,"./relative_attr":516,"./relink_private":517,"./search":518,"./sort_object_keys":521,"./stats":522,"./throttle":525,"./to_log_range":526,"@plotly/d3":58,"d3-format":107,"d3-time-format":115,"fast-isnumeric":185}],499:[function(t,e,r){"use strict";e.exports=function(t){return window&&window.process&&window.process.versions?"[object Object]"===Object.prototype.toString.call(t):"[object Object]"===Object.prototype.toString.call(t)&&Object.getPrototypeOf(t).hasOwnProperty("hasOwnProperty")}},{}],500:[function(t,e,r){"use strict";var n=t("./nested_property"),i=/^\w*$/;e.exports=function(t,e,r,a){var o,s,l;r=r||"name",a=a||"value";var c={};e&&e.length?(l=n(t,e),s=l.get()):s=t,e=e||"";var u={};if(s)for(o=0;o<s.length;o++)u[s[o][r]]=o;var f=i.test(a),h={set:function(t,e){var i=null===e?4:0;if(!s){if(!l||4===i)return;s=[],l.set(s)}var o=u[t];if(void 0===o){if(4===i)return;i|=3,o=s.length,u[t]=o}else e!==(f?s[o][a]:n(s[o],a).get())&&(i|=2);var p=s[o]=s[o]||{};return p[r]=t,f?p[a]=e:n(p,a).set(e),null!==e&&(i&=-5),c[o]=c[o]|i,h},get:function(t){if(s){var e=u[t];return void 0===e?void 0:f?s[e][a]:n(s[e],a).get()}},rename:function(t,e){var n=u[t];return void 0===n||(c[n]=1|c[n],u[e]=n,delete u[t],s[n][r]=e),h},remove:function(t){var e=u[t];if(void 0===e)return h;var i=s[e];if(Object.keys(i).length>2)return c[e]=2|c[e],h.set(t,null);if(f){for(o=e;o<s.length;o++)c[o]=3|c[o];for(o=e;o<s.length;o++)u[s[o][r]]--;s.splice(e,1),delete u[t]}else n(i,a).set(null),c[e]=6|c[e];return h},constructUpdate:function(){for(var t,i,o={},l=Object.keys(c),u=0;u<l.length;u++)i=l[u],t=e+"["+i+"]",s[i]?(1&c[i]&&(o[t+"."+r]=s[i][r]),2&c[i]&&(o[t+"."+a]=f?4&c[i]?null:s[i][a]:4&c[i]?null:n(s[i],a).get())):o[t]=null;return o}};return h}},{"./nested_property":506}],501:[function(t,e,r){"use strict";var n=t("../registry");e.exports=function(t,e){for(var r=t._context.locale,i=0;i<2;i++){for(var a=t._context.locales,o=0;o<2;o++){var s=(a[r]||{}).dictionary;if(s){var l=s[e];if(l)return l}a=n.localeRegistry}var c=r.split("-")[0];if(c===r)break;r=c}return e}},{"../registry":633}],502:[function(t,e,r){"use strict";var n=t("../plot_api/plot_config").dfltConfig,i=t("./notifier"),a=e.exports={};a.log=function(){var t;if(n.logging>1){var e=["LOG:"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);console.trace.apply(console,e)}if(n.notifyOnLogging>1){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join("<br>"),"long")}},a.warn=function(){var t;if(n.logging>0){var e=["WARN:"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);console.trace.apply(console,e)}if(n.notifyOnLogging>0){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join("<br>"),"stick")}},a.error=function(){var t;if(n.logging>0){var e=["ERROR:"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);console.error.apply(console,e)}if(n.notifyOnLogging>0){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join("<br>"),"stick")}}},{"../plot_api/plot_config":536,"./notifier":508}],503:[function(t,e,r){"use strict";var n=t("@plotly/d3");e.exports=function(t,e,r){var i=t.selectAll("g."+r.replace(/\s/g,".")).data(e,(function(t){return t[0].trace.uid}));i.exit().remove(),i.enter().append("g").attr("class",r),i.order();var a=t.classed("rangeplot")?"nodeRangePlot3":"node3";return i.each((function(t){t[0][a]=n.select(this)})),i}},{"@plotly/d3":58}],504:[function(t,e,r){"use strict";var n=t("gl-mat4");r.init2dArray=function(t,e){for(var r=new Array(t),n=0;n<t;n++)r[n]=new Array(e);return r},r.transposeRagged=function(t){var e,r,n=0,i=t.length;for(e=0;e<i;e++)n=Math.max(n,t[e].length);var a=new Array(n);for(e=0;e<n;e++)for(a[e]=new Array(i),r=0;r<i;r++)a[e][r]=t[r][e];return a},r.dot=function(t,e){if(!t.length||!e.length||t.length!==e.length)return null;var n,i,a=t.length;if(t[0].length)for(n=new Array(a),i=0;i<a;i++)n[i]=r.dot(t[i],e);else if(e[0].length){var o=r.transposeRagged(e);for(n=new Array(o.length),i=0;i<o.length;i++)n[i]=r.dot(t,o[i])}else for(n=0,i=0;i<a;i++)n+=t[i]*e[i];return n},r.translationMatrix=function(t,e){return[[1,0,t],[0,1,e],[0,0,1]]},r.rotationMatrix=function(t){var e=t*Math.PI/180;return[[Math.cos(e),-Math.sin(e),0],[Math.sin(e),Math.cos(e),0],[0,0,1]]},r.rotationXYMatrix=function(t,e,n){return r.dot(r.dot(r.translationMatrix(e,n),r.rotationMatrix(t)),r.translationMatrix(-e,-n))},r.apply3DTransform=function(t){return function(){var e=arguments,n=1===arguments.length?e[0]:[e[0],e[1],e[2]||0];return r.dot(t,[n[0],n[1],n[2],1]).slice(0,3)}},r.apply2DTransform=function(t){return function(){var e=arguments;3===e.length&&(e=e[0]);var n=1===arguments.length?e[0]:[e[0],e[1]];return r.dot(t,[n[0],n[1],1]).slice(0,2)}},r.apply2DTransform2=function(t){var e=r.apply2DTransform(t);return function(t){return e(t.slice(0,2)).concat(e(t.slice(2,4)))}},r.convertCssMatrix=function(t){if(t){var e=t.length;if(16===e)return t;if(6===e)return[t[0],t[1],0,0,t[2],t[3],0,0,0,0,1,0,t[4],t[5],0,1]}return[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]},r.inverseTransformMatrix=function(t){var e=[];return n.invert(e,t),[[e[0],e[1],e[2],e[3]],[e[4],e[5],e[6],e[7]],[e[8],e[9],e[10],e[11]],[e[12],e[13],e[14],e[15]]]}},{"gl-mat4":205}],505:[function(t,e,r){"use strict";e.exports={mod:function(t,e){var r=t%e;return r<0?r+e:r},modHalf:function(t,e){return Math.abs(t)>e/2?t-Math.round(t/e)*e:t}}},{}],506:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./array").isArrayOrTypedArray;function a(t,e){return function(){var r,n,o,s,l,c=t;for(s=0;s<e.length-1;s++){if(-1===(r=e[s])){for(n=!0,o=[],l=0;l<c.length;l++)o[l]=a(c[l],e.slice(s+1))(),o[l]!==o[0]&&(n=!1);return n?o[0]:o}if("number"==typeof r&&!i(c))return;if("object"!=typeof(c=c[r])||null===c)return}if("object"==typeof c&&null!==c&&null!==(o=c[e[s]]))return o}}e.exports=function(t,e){if(n(e))e=String(e);else if("string"!=typeof e||"[-1]"===e.substr(e.length-4))throw"bad property string";for(var r,i,o,s=0,c=e.split(".");s<c.length;){if(r=String(c[s]).match(/^([^\[\]]*)((\[\-?[0-9]*\])+)$/)){if(r[1])c[s]=r[1];else{if(0!==s)throw"bad property string";c.splice(0,1)}for(i=r[2].substr(1,r[2].length-2).split("]["),o=0;o<i.length;o++)s++,c.splice(s,0,Number(i[o]))}s++}return"object"!=typeof t?function(t,e,r){return{set:function(){throw"bad container"},get:function(){},astr:e,parts:r,obj:t}}(t,e,c):{set:l(t,c,e),get:a(t,c),astr:e,parts:c,obj:t}};var o=/(^|\.)args\[/;function s(t,e){return void 0===t||null===t&&!e.match(o)}function l(t,e,r){return function(n){var a,o,l=t,h="",p=[[t,h]],d=s(n,r);for(o=0;o<e.length-1;o++){if("number"==typeof(a=e[o])&&!i(l))throw"array index but container is not an array";if(-1===a){if(d=!u(l,e.slice(o+1),n,r))break;return}if(!f(l,a,e[o+1],d))break;if("object"!=typeof(l=l[a])||null===l)throw"container is not an object";h=c(h,a),p.push([l,h])}if(d){if(o===e.length-1&&(delete l[e[o]],Array.isArray(l)&&+e[o]==l.length-1))for(;l.length&&void 0===l[l.length-1];)l.pop()}else l[e[o]]=n}}function c(t,e){var r=e;return n(e)?r="["+e+"]":t&&(r="."+e),t+r}function u(t,e,r,n){var a,o=i(r),c=!0,u=r,h=n.replace("-1",0),p=!o&&s(r,h),d=e[0];for(a=0;a<t.length;a++)h=n.replace("-1",a),o&&(p=s(u=r[a%r.length],h)),p&&(c=!1),f(t,a,d,p)&&l(t[a],e,n.replace("-1",a))(u);return c}function f(t,e,r,n){if(void 0===t[e]){if(n)return!1;t[e]="number"==typeof r?[]:{}}return!0}},{"./array":480,"fast-isnumeric":185}],507:[function(t,e,r){"use strict";e.exports=function(){}},{}],508:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=[];e.exports=function(t,e){if(-1===a.indexOf(t)){a.push(t);var r=1e3;i(e)?r=e:"long"===e&&(r=3e3);var o=n.select("body").selectAll(".plotly-notifier").data([0]);o.enter().append("div").classed("plotly-notifier",!0),o.selectAll(".notifier-note").data(a).enter().append("div").classed("notifier-note",!0).style("opacity",0).each((function(t){var i=n.select(this);i.append("button").classed("notifier-close",!0).html("&times;").on("click",(function(){i.transition().call(s)}));for(var a=i.append("p"),o=t.split(/<br\s*\/?>/g),l=0;l<o.length;l++)l&&a.append("br"),a.append("span").text(o[l]);"stick"===e?i.transition().duration(350).style("opacity",1):i.transition().duration(700).style("opacity",1).transition().delay(r).call(s)}))}function s(t){t.duration(700).style("opacity",0).each("end",(function(t){var e=a.indexOf(t);-1!==e&&a.splice(e,1),n.select(this).remove()}))}}},{"@plotly/d3":58,"fast-isnumeric":185}],509:[function(t,e,r){"use strict";var n=t("./setcursor"),i="data-savedcursor";e.exports=function(t,e){var r=t.attr(i);if(e){if(!r){for(var a=(t.attr("class")||"").split(" "),o=0;o<a.length;o++){var s=a[o];0===s.indexOf("cursor-")&&t.attr(i,s.substr(7)).classed(s,!1)}t.attr(i)||t.attr(i,"!!")}n(t,e)}else r&&(t.attr(i,null),"!!"===r?n(t):n(t,r))}},{"./setcursor":519}],510:[function(t,e,r){"use strict";var n=t("./matrix").dot,i=t("../constants/numerical").BADNUM,a=e.exports={};a.tester=function(t){var e,r=t.slice(),n=r[0][0],a=n,o=r[0][1],s=o;for(r.push(r[0]),e=1;e<r.length;e++)n=Math.min(n,r[e][0]),a=Math.max(a,r[e][0]),o=Math.min(o,r[e][1]),s=Math.max(s,r[e][1]);var l,c=!1;5===r.length&&(r[0][0]===r[1][0]?r[2][0]===r[3][0]&&r[0][1]===r[3][1]&&r[1][1]===r[2][1]&&(c=!0,l=function(t){return t[0]===r[0][0]}):r[0][1]===r[1][1]&&r[2][1]===r[3][1]&&r[0][0]===r[3][0]&&r[1][0]===r[2][0]&&(c=!0,l=function(t){return t[1]===r[0][1]}));var u=!0,f=r[0];for(e=1;e<r.length;e++)if(f[0]!==r[e][0]||f[1]!==r[e][1]){u=!1;break}return{xmin:n,xmax:a,ymin:o,ymax:s,pts:r,contains:c?function(t,e){var r=t[0],c=t[1];return!(r===i||r<n||r>a||c===i||c<o||c>s)&&(!e||!l(t))}:function(t,e){var l=t[0],c=t[1];if(l===i||l<n||l>a||c===i||c<o||c>s)return!1;var u,f,h,p,d,m=r.length,g=r[0][0],v=r[0][1],y=0;for(u=1;u<m;u++)if(f=g,h=v,g=r[u][0],v=r[u][1],!(l<(p=Math.min(f,g))||l>Math.max(f,g)||c>Math.max(h,v)))if(c<Math.min(h,v))l!==p&&y++;else{if(c===(d=g===f?c:h+(l-f)*(v-h)/(g-f)))return 1!==u||!e;c<=d&&l!==p&&y++}return y%2==1},isRect:c,degenerate:u}},a.isSegmentBent=function(t,e,r,i){var a,o,s,l=t[e],c=[t[r][0]-l[0],t[r][1]-l[1]],u=n(c,c),f=Math.sqrt(u),h=[-c[1]/f,c[0]/f];for(a=e+1;a<r;a++)if(o=[t[a][0]-l[0],t[a][1]-l[1]],(s=n(o,c))<0||s>u||Math.abs(n(o,h))>i)return!0;return!1},a.filter=function(t,e){var r=[t[0]],n=0,i=0;function o(o){t.push(o);var s=r.length,l=n;r.splice(i+1);for(var c=l+1;c<t.length;c++)(c===t.length-1||a.isSegmentBent(t,l,c+1,e))&&(r.push(t[c]),r.length<s-2&&(n=c,i=r.length-1),l=c)}t.length>1&&o(t.pop());return{addPt:o,raw:t,filtered:r}}},{"../constants/numerical":474,"./matrix":504}],511:[function(t,e,r){(function(r){(function(){"use strict";var n=t("./show_no_webgl_msg"),i=t("regl");e.exports=function(t,e,a){var o=t._fullLayout,s=!0;return o._glcanvas.each((function(n){if(n.regl)n.regl.preloadCachedCode(a);else if(!n.pick||o._has("parcoords")){try{n.regl=i({canvas:this,attributes:{antialias:!n.pick,preserveDrawingBuffer:!0},pixelRatio:t._context.plotGlPixelRatio||r.devicePixelRatio,extensions:e||[],cachedCode:a||{}})}catch(t){s=!1}n.regl||(s=!1),s&&this.addEventListener("webglcontextlost",(function(e){t&&t.emit&&t.emit("plotly_webglcontextlost",{event:e,layer:n.key})}),!1)}})),s||n({container:o._glcontainer.node()}),s}}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./show_no_webgl_msg":520,regl:278}],512:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("is-mobile");e.exports=function(t){var e;if("string"!=typeof(e=t&&t.hasOwnProperty("userAgent")?t.userAgent:function(){var t;"undefined"!=typeof navigator&&(t=navigator.userAgent);t&&t.headers&&"string"==typeof t.headers["user-agent"]&&(t=t.headers["user-agent"]);return t}()))return!0;var r=i({ua:{headers:{"user-agent":e}},tablet:!0,featureDetect:!1});if(!r)for(var a=e.split(" "),o=1;o<a.length;o++){if(-1!==a[o].indexOf("Safari"))for(var s=o-1;s>-1;s--){var l=a[s];if("Version/"===l.substr(0,8)){var c=l.substr(8).split(".")[0];if(n(c)&&(c=+c),c>=13)return!0}}}return r}},{"fast-isnumeric":185,"is-mobile":229}],513:[function(t,e,r){"use strict";e.exports=function(t,e){if(e instanceof RegExp){for(var r=e.toString(),n=0;n<t.length;n++)if(t[n]instanceof RegExp&&t[n].toString()===r)return t;t.push(e)}else!e&&0!==e||-1!==t.indexOf(e)||t.push(e);return t}},{}],514:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_config").dfltConfig;var a={add:function(t,e,r,n,a){var o,s;t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},s=t.undoQueue.index,t.autoplay?t.undoQueue.inSequence||(t.autoplay=!1):(!t.undoQueue.sequence||t.undoQueue.beginSequence?(o={undo:{calls:[],args:[]},redo:{calls:[],args:[]}},t.undoQueue.queue.splice(s,t.undoQueue.queue.length-s,o),t.undoQueue.index+=1):o=t.undoQueue.queue[s-1],t.undoQueue.beginSequence=!1,o&&(o.undo.calls.unshift(e),o.undo.args.unshift(r),o.redo.calls.push(n),o.redo.args.push(a)),t.undoQueue.queue.length>i.queueLength&&(t.undoQueue.queue.shift(),t.undoQueue.index--))},startSequence:function(t){t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},t.undoQueue.sequence=!0,t.undoQueue.beginSequence=!0},stopSequence:function(t){t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},t.undoQueue.sequence=!1,t.undoQueue.beginSequence=!1},undo:function(t){var e,r;if(!(void 0===t.undoQueue||isNaN(t.undoQueue.index)||t.undoQueue.index<=0)){for(t.undoQueue.index--,e=t.undoQueue.queue[t.undoQueue.index],t.undoQueue.inSequence=!0,r=0;r<e.undo.calls.length;r++)a.plotDo(t,e.undo.calls[r],e.undo.args[r]);t.undoQueue.inSequence=!1,t.autoplay=!1}},redo:function(t){var e,r;if(!(void 0===t.undoQueue||isNaN(t.undoQueue.index)||t.undoQueue.index>=t.undoQueue.queue.length)){for(e=t.undoQueue.queue[t.undoQueue.index],t.undoQueue.inSequence=!0,r=0;r<e.redo.calls.length;r++)a.plotDo(t,e.redo.calls[r],e.redo.args[r]);t.undoQueue.inSequence=!1,t.autoplay=!1,t.undoQueue.index++}}};a.plotDo=function(t,e,r){t.autoplay=!0,r=function(t,e){for(var r,i=[],a=0;a<e.length;a++)r=e[a],i[a]=r===t?r:"object"==typeof r?Array.isArray(r)?n.extendDeep([],r):n.extendDeepAll({},r):r;return i}(t,r),e.apply(null,r)},e.exports=a},{"../lib":498,"../plot_api/plot_config":536}],515:[function(t,e,r){"use strict";r.counter=function(t,e,r,n){var i=(e||"")+(r?"":"$"),a=!1===n?"":"^";return"xy"===t?new RegExp(a+"x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?"+i):new RegExp(a+t+"([2-9]|[1-9][0-9]+)?"+i)}},{}],516:[function(t,e,r){"use strict";var n=/^(.*)(\.[^\.\[\]]+|\[\d\])$/,i=/^[^\.\[\]]+$/;e.exports=function(t,e){for(;e;){var r=t.match(n);if(r)t=r[1];else{if(!t.match(i))throw new Error("bad relativeAttr call:"+[t,e]);t=""}if("^"!==e.charAt(0))break;e=e.slice(1)}return t&&"["!==e.charAt(0)?t+"."+e:t+e}},{}],517:[function(t,e,r){"use strict";var n=t("./array").isArrayOrTypedArray,i=t("./is_plain_object");e.exports=function t(e,r){for(var a in r){var o=r[a],s=e[a];if(s!==o)if("_"===a.charAt(0)||"function"==typeof o){if(a in e)continue;e[a]=o}else if(n(o)&&n(s)&&i(o[0])){if("customdata"===a||"ids"===a)continue;for(var l=Math.min(o.length,s.length),c=0;c<l;c++)s[c]!==o[c]&&i(o[c])&&i(s[c])&&t(s[c],o[c])}else i(o)&&i(s)&&(t(s,o),Object.keys(s).length||delete e[a])}}},{"./array":480,"./is_plain_object":499}],518:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./loggers"),a=t("./identity"),o=t("../constants/numerical").BADNUM;function s(t,e){return t<e}function l(t,e){return t<=e}function c(t,e){return t>e}function u(t,e){return t>=e}r.findBin=function(t,e,r){if(n(e.start))return r?Math.ceil((t-e.start)/e.size-1e-9)-1:Math.floor((t-e.start)/e.size+1e-9);var a,o,f=0,h=e.length,p=0,d=h>1?(e[h-1]-e[0])/(h-1):1;for(o=d>=0?r?s:l:r?u:c,t+=1e-9*d*(r?-1:1)*(d>=0?1:-1);f<h&&p++<100;)o(e[a=Math.floor((f+h)/2)],t)?f=a+1:h=a;return p>90&&i.log("Long binary search..."),f-1},r.sorterAsc=function(t,e){return t-e},r.sorterDes=function(t,e){return e-t},r.distinctVals=function(t){var e,n=t.slice();for(n.sort(r.sorterAsc),e=n.length-1;e>-1&&n[e]===o;e--);for(var i,a=n[e]-n[0]||1,s=a/(e||1)/1e4,l=[],c=0;c<=e;c++){var u=n[c],f=u-i;void 0===i?(l.push(u),i=u):f>s&&(a=Math.min(a,f),l.push(u),i=u)}return{vals:l,minDiff:a}},r.roundUp=function(t,e,r){for(var n,i=0,a=e.length-1,o=0,s=r?0:1,l=r?1:0,c=r?Math.ceil:Math.floor;i<a&&o++<100;)e[n=c((i+a)/2)]<=t?i=n+s:a=n-l;return e[i]},r.sort=function(t,e){for(var r=0,n=0,i=1;i<t.length;i++){var a=e(t[i],t[i-1]);if(a<0?r=1:a>0&&(n=1),r&&n)return t.sort(e)}return n?t:t.reverse()},r.findIndexOfMin=function(t,e){e=e||a;for(var r,n=1/0,i=0;i<t.length;i++){var o=e(t[i]);o<n&&(n=o,r=i)}return r}},{"../constants/numerical":474,"./identity":496,"./loggers":502,"fast-isnumeric":185}],519:[function(t,e,r){"use strict";e.exports=function(t,e){(t.attr("class")||"").split(" ").forEach((function(e){0===e.indexOf("cursor-")&&t.classed(e,!1)})),e&&t.classed("cursor-"+e,!0)}},{}],520:[function(t,e,r){"use strict";var n=t("../components/color"),i=function(){};e.exports=function(t){for(var e in t)"function"==typeof t[e]&&(t[e]=i);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var r=document.createElement("div");r.className="no-webgl",r.style.cursor="pointer",r.style.fontSize="24px",r.style.color=n.defaults[0],r.style.position="absolute",r.style.left=r.style.top="0px",r.style.width=r.style.height="100%",r.style["background-color"]=n.lightLine,r.style["z-index"]=30;var a=document.createElement("p");return a.textContent="WebGL is not supported by your browser - visit https://get.webgl.org for more info",a.style.position="relative",a.style.top="50%",a.style.left="50%",a.style.height="30%",a.style.width="50%",a.style.margin="-15% 0 0 -25%",r.appendChild(a),t.container.appendChild(r),t.container.style.background="#FFFFFF",t.container.onclick=function(){window.open("https://get.webgl.org")},!1}},{"../components/color":361}],521:[function(t,e,r){"use strict";e.exports=function(t){return Object.keys(t).sort()}},{}],522:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./array").isArrayOrTypedArray;r.aggNums=function(t,e,a,o){var s,l;if((!o||o>a.length)&&(o=a.length),n(e)||(e=!1),i(a[0])){for(l=new Array(o),s=0;s<o;s++)l[s]=r.aggNums(t,e,a[s]);a=l}for(s=0;s<o;s++)n(e)?n(a[s])&&(e=t(+e,+a[s])):e=a[s];return e},r.len=function(t){return r.aggNums((function(t){return t+1}),0,t)},r.mean=function(t,e){return e||(e=r.len(t)),r.aggNums((function(t,e){return t+e}),0,t)/e},r.midRange=function(t){if(void 0!==t&&0!==t.length)return(r.aggNums(Math.max,null,t)+r.aggNums(Math.min,null,t))/2},r.variance=function(t,e,i){return e||(e=r.len(t)),n(i)||(i=r.mean(t,e)),r.aggNums((function(t,e){return t+Math.pow(e-i,2)}),0,t)/e},r.stdev=function(t,e,n){return Math.sqrt(r.variance(t,e,n))},r.median=function(t){var e=t.slice().sort();return r.interp(e,.5)},r.interp=function(t,e){if(!n(e))throw"n should be a finite number";if((e=e*t.length-.5)<0)return t[0];if(e>t.length-1)return t[t.length-1];var r=e%1;return r*t[Math.ceil(e)]+(1-r)*t[Math.floor(e)]}},{"./array":480,"fast-isnumeric":185}],523:[function(t,e,r){"use strict";var n=t("color-normalize");e.exports=function(t){return t?n(t):[0,0,0,1]}},{"color-normalize":84}],524:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../lib"),a=i.strTranslate,o=t("../constants/xmlns_namespaces"),s=t("../constants/alignment").LINE_SPACING,l=/([^$]*)([$]+[^$]*[$]+)([^$]*)/;r.convertToTspans=function(t,e,m){var M=t.text(),S=!t.attr("data-notex")&&e&&e._context.typesetMath&&"undefined"!=typeof MathJax&&M.match(l),C=n.select(t.node().parentNode);if(!C.empty()){var P=t.attr("class")?t.attr("class").split(" ")[0]:"text";return P+="-math",C.selectAll("svg."+P).remove(),C.selectAll("g."+P+"-group").remove(),t.style("display",null).attr({"data-unformatted":M,"data-math":"N"}),S?(e&&e._promises||[]).push(new Promise((function(e){t.style("display","none");var r=parseInt(t.node().style.fontSize,10),o={fontSize:r};!function(t,e,r){var a,o,s,l,h=parseInt((MathJax.version||"").split(".")[0]);if(2!==h&&3!==h)return void i.warn("No MathJax version:",MathJax.version);var p=function(){var r="math-output-"+i.randstr({},64),a=(l=n.select("body").append("div").attr({id:r}).style({visibility:"hidden",position:"absolute","font-size":e.fontSize+"px"}).text(t.replace(c,"\\lt ").replace(u,"\\gt "))).node();return 2===h?MathJax.Hub.Typeset(a):MathJax.typeset([a])},d=function(){var e=l.select(2===h?".MathJax_SVG":".MathJax"),a=!e.empty()&&l.select("svg").node();if(a){var o,s=a.getBoundingClientRect();o=2===h?n.select("body").select("#MathJax_SVG_glyphs"):e.select("defs"),r(e,o,s)}else i.log("There was an error in the tex syntax.",t),r();l.remove()};2===h?MathJax.Hub.Queue((function(){return o=i.extendDeepAll({},MathJax.Hub.config),s=MathJax.Hub.processSectionDelay,void 0!==MathJax.Hub.processSectionDelay&&(MathJax.Hub.processSectionDelay=0),MathJax.Hub.Config({messageStyle:"none",tex2jax:{inlineMath:f},displayAlign:"left"})}),(function(){if("SVG"!==(a=MathJax.Hub.config.menuSettings.renderer))return MathJax.Hub.setRenderer("SVG")}),p,d,(function(){if("SVG"!==a)return MathJax.Hub.setRenderer(a)}),(function(){return void 0!==s&&(MathJax.Hub.processSectionDelay=s),MathJax.Hub.Config(o)})):3===h&&(o=i.extendDeepAll({},MathJax.config),MathJax.config.tex||(MathJax.config.tex={}),MathJax.config.tex.inlineMath=f,"svg"!==(a=MathJax.config.startup.output)&&(MathJax.config.startup.output="svg"),MathJax.startup.defaultReady(),MathJax.startup.promise.then((function(){p(),d(),"svg"!==a&&(MathJax.config.startup.output=a),MathJax.config=o})))}(S[2],o,(function(n,i,o){C.selectAll("svg."+P).remove(),C.selectAll("g."+P+"-group").remove();var s=n&&n.select("svg");if(!s||!s.node())return I(),void e();var l=C.append("g").classed(P+"-group",!0).attr({"pointer-events":"none","data-unformatted":M,"data-math":"Y"});l.node().appendChild(s.node()),i&&i.node()&&s.node().insertBefore(i.node().cloneNode(!0),s.node().firstChild);var c=o.width,u=o.height;s.attr({class:P,height:u,preserveAspectRatio:"xMinYMin meet"}).style({overflow:"visible","pointer-events":"none"});var f=t.node().style.fill||"black",h=s.select("g");h.attr({fill:f,stroke:f});var p=h.node().getBoundingClientRect(),d=p.width,g=p.height;(d>c||g>u)&&(s.style("overflow","hidden"),d=(p=s.node().getBoundingClientRect()).width,g=p.height);var v=+t.attr("x"),y=+t.attr("y"),x=-(r||t.node().getBoundingClientRect().height)/4;if("y"===P[0])l.attr({transform:"rotate("+[-90,v,y]+")"+a(-d/2,x-g/2)});else if("l"===P[0])y=x-g/2;else if("a"===P[0]&&0!==P.indexOf("atitle"))v=0,y=x;else{var b=t.attr("text-anchor");v-=d*("middle"===b?.5:"end"===b?1:0),y=y+x-g/2}s.attr({x:v,y:y}),m&&m.call(t,l),e(l)}))}))):I(),t}function I(){C.empty()||(P=t.attr("class")+"-math",C.select("svg."+P).remove()),t.text("").style("white-space","pre"),function(t,e){e=e.replace(g," ");var r,a=!1,l=[],c=-1;function u(){c++;var e=document.createElementNS(o.svg,"tspan");n.select(e).attr({class:"line",dy:c*s+"em"}),t.appendChild(e),r=e;var i=l;if(l=[{node:e}],i.length>1)for(var a=1;a<i.length;a++)f(i[a])}function f(t){var e,i=t.type,a={};if("a"===i){e="a";var s=t.target,c=t.href,u=t.popup;c&&(a={"xlink:xlink:show":"_blank"===s||"_"!==s.charAt(0)?"new":"replace",target:s,"xlink:xlink:href":c},u&&(a.onclick='window.open(this.href.baseVal,this.target.baseVal,"'+u+'");return false;'))}else e="tspan";t.style&&(a.style=t.style);var f=document.createElementNS(o.svg,e);if("sup"===i||"sub"===i){m(r,"\u200b"),r.appendChild(f);var h=document.createElementNS(o.svg,"tspan");m(h,"\u200b"),n.select(h).attr("dy",d[i]),a.dy=p[i],r.appendChild(f),r.appendChild(h)}else r.appendChild(f);n.select(f).attr(a),r=t.node=f,l.push(t)}function m(t,e){t.appendChild(document.createTextNode(e))}function M(t){if(1!==l.length){var n=l.pop();t!==n.type&&i.log("Start tag <"+n.type+"> doesnt match end tag <"+t+">. Pretending it did match.",e),r=l[l.length-1].node}else i.log("Ignoring unexpected end tag </"+t+">.",e)}x.test(e)?u():(r=t,l=[{node:t}]);for(var S=e.split(v),C=0;C<S.length;C++){var P=S[C],I=P.match(y),O=I&&I[2].toLowerCase(),z=h[O];if("br"===O)u();else if(void 0===z)m(r,E(P));else if(I[1])M(O);else{var D=I[4],R={type:O},F=k(D,b);if(F?(F=F.replace(A,"$1 fill:"),z&&(F+=";"+z)):z&&(F=z),F&&(R.style=F),"a"===O){a=!0;var B=k(D,_);if(B){var N=L(B);N&&(R.href=N,R.target=k(D,w)||"_blank",R.popup=k(D,T))}}f(R)}}return a}(t.node(),M)&&t.style("pointer-events","all"),r.positionText(t),m&&m.call(t)}};var c=/(<|&lt;|&#60;)/g,u=/(>|&gt;|&#62;)/g;var f=[["$","$"],["\\(","\\)"]];var h={sup:"font-size:70%",sub:"font-size:70%",b:"font-weight:bold",i:"font-style:italic",a:"cursor:pointer",span:"",em:"font-style:italic;font-weight:bold"},p={sub:"0.3em",sup:"-0.6em"},d={sub:"-0.21em",sup:"0.42em"},m=["http:","https:","mailto:","",void 0,":"],g=r.NEWLINES=/(\r\n?|\n)/g,v=/(<[^<>]*>)/,y=/<(\/?)([^ >]*)(\s+(.*))?>/i,x=/<br(\s+.*)?>/i;r.BR_TAG_ALL=/<br(\s+.*)?>/gi;var b=/(^|[\s"'])style\s*=\s*("([^"]*);?"|'([^']*);?')/i,_=/(^|[\s"'])href\s*=\s*("([^"]*)"|'([^']*)')/i,w=/(^|[\s"'])target\s*=\s*("([^"\s]*)"|'([^'\s]*)')/i,T=/(^|[\s"'])popup\s*=\s*("([\w=,]*)"|'([\w=,]*)')/i;function k(t,e){if(!t)return null;var r=t.match(e),n=r&&(r[3]||r[4]);return n&&E(n)}var A=/(^|;)\s*color:/;r.plainText=function(t,e){for(var r=void 0!==(e=e||{}).len&&-1!==e.len?e.len:1/0,n=void 0!==e.allowedTags?e.allowedTags:["br"],i="...".length,a=t.split(v),o=[],s="",l=0,c=0;c<a.length;c++){var u=a[c],f=u.match(y),h=f&&f[2].toLowerCase();if(h)-1!==n.indexOf(h)&&(o.push(u),s=h);else{var p=u.length;if(l+p<r)o.push(u),l+=p;else if(l<r){var d=r-l;s&&("br"!==s||d<=i||p<=i)&&o.pop(),r>i?o.push(u.substr(0,d-i)+"..."):o.push(u.substr(0,d));break}s=""}}return o.join("")};var M={mu:"\u03bc",amp:"&",lt:"<",gt:">",nbsp:"\xa0",times:"\xd7",plusmn:"\xb1",deg:"\xb0"},S=/&(#\d+|#x[\da-fA-F]+|[a-z]+);/g;function E(t){return t.replace(S,(function(t,e){return("#"===e.charAt(0)?function(t){if(t>1114111)return;var e=String.fromCodePoint;if(e)return e(t);var r=String.fromCharCode;return t<=65535?r(t):r(55232+(t>>10),t%1024+56320)}("x"===e.charAt(1)?parseInt(e.substr(2),16):parseInt(e.substr(1),10)):M[e])||t}))}function L(t){var e=encodeURI(decodeURI(t)),r=document.createElement("a"),n=document.createElement("a");r.href=t,n.href=e;var i=r.protocol,a=n.protocol;return-1!==m.indexOf(i)&&-1!==m.indexOf(a)?e:""}function C(t,e,r){var n,a,o,s=r.horizontalAlign,l=r.verticalAlign||"top",c=t.node().getBoundingClientRect(),u=e.node().getBoundingClientRect();return a="bottom"===l?function(){return c.bottom-n.height}:"middle"===l?function(){return c.top+(c.height-n.height)/2}:function(){return c.top},o="right"===s?function(){return c.right-n.width}:"center"===s?function(){return c.left+(c.width-n.width)/2}:function(){return c.left},function(){n=this.node().getBoundingClientRect();var t=o()-u.left,e=a()-u.top,s=r.gd||{};if(r.gd){s._fullLayout._calcInverseTransform(s);var l=i.apply3DTransform(s._fullLayout._invTransform)(t,e);t=l[0],e=l[1]}return this.style({top:e+"px",left:t+"px","z-index":1e3}),this}}r.convertEntities=E,r.sanitizeHTML=function(t){t=t.replace(g," ");for(var e=document.createElement("p"),r=e,i=[],a=t.split(v),o=0;o<a.length;o++){var s=a[o],l=s.match(y),c=l&&l[2].toLowerCase();if(c in h)if(l[1])i.length&&(r=i.pop());else{var u=l[4],f=k(u,b),p=f?{style:f}:{};if("a"===c){var d=k(u,_);if(d){var m=L(d);if(m){p.href=m;var x=k(u,w);x&&(p.target=x)}}}var T=document.createElement(c);r.appendChild(T),n.select(T).attr(p),r=T,i.push(T)}else r.appendChild(document.createTextNode(E(s)))}return e.innerHTML},r.lineCount=function(t){return t.selectAll("tspan.line").size()||1},r.positionText=function(t,e,r){return t.each((function(){var t=n.select(this);function i(e,r){return void 0===r?null===(r=t.attr(e))&&(t.attr(e,0),r=0):t.attr(e,r),r}var a=i("x",e),o=i("y",r);"text"===this.nodeName&&t.selectAll("tspan.line").attr({x:a,y:o})}))};r.makeTextShadow=function(t){var e="1px ",r="1px ",n="1px ";return e+r+n+t+", -"+e+"-"+r+n+t+", "+e+"-"+r+n+t+", -"+e+r+n+t},r.makeEditable=function(t,e){var r=e.gd,i=e.delegate,a=n.dispatch("edit","input","cancel"),o=i||t;if(t.style({"pointer-events":i?"none":"all"}),1!==t.size())throw new Error("boo");function s(){!function(){var i=n.select(r).select(".svg-container"),o=i.append("div"),s=t.node().style,c=parseFloat(s.fontSize||12),u=e.text;void 0===u&&(u=t.attr("data-unformatted"));o.classed("plugin-editable editable",!0).style({position:"absolute","font-family":s.fontFamily||"Arial","font-size":c,color:e.fill||s.fill||"black",opacity:1,"background-color":e.background||"transparent",outline:"#ffffff33 1px solid",margin:[-c/8+1,0,0,-1].join("px ")+"px",padding:"0","box-sizing":"border-box"}).attr({contenteditable:!0}).text(u).call(C(t,i,e)).on("blur",(function(){r._editing=!1,t.text(this.textContent).style({opacity:1});var e,i=n.select(this).attr("class");(e=i?"."+i.split(" ")[0]+"-math-group":"[class*=-math-group]")&&n.select(t.node().parentNode).select(e).style({opacity:0});var o=this.textContent;n.select(this).transition().duration(0).remove(),n.select(document).on("mouseup",null),a.edit.call(t,o)})).on("focus",(function(){var t=this;r._editing=!0,n.select(document).on("mouseup",(function(){if(n.event.target===t)return!1;document.activeElement===o.node()&&o.node().blur()}))})).on("keyup",(function(){27===n.event.which?(r._editing=!1,t.style({opacity:1}),n.select(this).style({opacity:0}).on("blur",(function(){return!1})).transition().remove(),a.cancel.call(t,this.textContent)):(a.input.call(t,this.textContent),n.select(this).call(C(t,i,e)))})).on("keydown",(function(){13===n.event.which&&this.blur()})).call(l)}(),t.style({opacity:0});var i,s=o.attr("class");(i=s?"."+s.split(" ")[0]+"-math-group":"[class*=-math-group]")&&n.select(t.node().parentNode).select(i).style({opacity:0})}function l(t){var e=t.node(),r=document.createRange();r.selectNodeContents(e);var n=window.getSelection();n.removeAllRanges(),n.addRange(r),e.focus()}return e.immediate?s():o.on("click",s),n.rebind(t,a,"on")}},{"../constants/alignment":466,"../constants/xmlns_namespaces":475,"../lib":498,"@plotly/d3":58}],525:[function(t,e,r){"use strict";var n={};function i(t){t&&null!==t.timer&&(clearTimeout(t.timer),t.timer=null)}r.throttle=function(t,e,r){var a=n[t],o=Date.now();if(!a){for(var s in n)n[s].ts<o-6e4&&delete n[s];a=n[t]={ts:0,timer:null}}function l(){r(),a.ts=Date.now(),a.onDone&&(a.onDone(),a.onDone=null)}i(a),o>a.ts+e?l():a.timer=setTimeout((function(){l(),a.timer=null}),e)},r.done=function(t){var e=n[t];return e&&e.timer?new Promise((function(t){var r=e.onDone;e.onDone=function(){r&&r(),t(),e.onDone=null}})):Promise.resolve()},r.clear=function(t){if(t)i(n[t]),delete n[t];else for(var e in n)r.clear(e)}},{}],526:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t,e){if(t>0)return Math.log(t)/Math.LN10;var r=Math.log(Math.min(e[0],e[1]))/Math.LN10;return n(r)||(r=Math.log(Math.max(e[0],e[1]))/Math.LN10-6),r}},{"fast-isnumeric":185}],527:[function(t,e,r){"use strict";var n=e.exports={},i=t("../plots/geo/constants").locationmodeToLayer,a=t("topojson-client").feature;n.getTopojsonName=function(t){return[t.scope.replace(/ /g,"-"),"_",t.resolution.toString(),"m"].join("")},n.getTopojsonPath=function(t,e){return t+e+".json"},n.getTopojsonFeatures=function(t,e){var r=i[t.locationmode],n=e.objects[r];return a(e,n).features}},{"../plots/geo/constants":582,"topojson-client":310}],528:[function(t,e,r){"use strict";e.exports={moduleType:"locale",name:"en-US",dictionary:{"Click to enter Colorscale title":"Click to enter Colorscale title"},format:{date:"%m/%d/%Y"}}},{}],529:[function(t,e,r){"use strict";e.exports={moduleType:"locale",name:"en",dictionary:{"Click to enter Colorscale title":"Click to enter Colourscale title"},format:{days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],periods:["AM","PM"],dateTime:"%a %b %e %X %Y",date:"%d/%m/%Y",time:"%H:%M:%S",decimal:".",thousands:",",grouping:[3],currency:["$",""],year:"%Y",month:"%b %Y",dayMonth:"%b %-d",dayMonthYear:"%b %-d, %Y"}}},{}],530:[function(t,e,r){"use strict";var n=t("../registry");e.exports=function(t){for(var e,r,i=n.layoutArrayContainers,a=n.layoutArrayRegexes,o=t.split("[")[0],s=0;s<a.length;s++)if((r=t.match(a[s]))&&0===r.index){e=r[0];break}if(e||(e=i[i.indexOf(o)]),!e)return!1;var l=t.substr(e.length);return l?!!(r=l.match(/^\[(0|[1-9][0-9]*)\](\.(.+))?$/))&&{array:e,index:Number(r[1]),property:r[3]||""}:{array:e,index:"",property:""}}},{"../registry":633}],531:[function(t,e,r){"use strict";var n=t("../lib"),i=n.extendFlat,a=n.isPlainObject,o={valType:"flaglist",extras:["none"],flags:["calc","clearAxisTypes","plot","style","markerSize","colorbars"]},s={valType:"flaglist",extras:["none"],flags:["calc","plot","legend","ticks","axrange","layoutstyle","modebar","camera","arraydraw","colorbars"]},l=o.flags.slice().concat(["fullReplot"]),c=s.flags.slice().concat("layoutReplot");function u(t){for(var e={},r=0;r<t.length;r++)e[t[r]]=!1;return e}function f(t,e,r){var n=i({},t);for(var o in n){var s=n[o];a(s)&&(n[o]=h(s,e,r,o))}return"from-root"===r&&(n.editType=e),n}function h(t,e,r,n){if(t.valType){var a=i({},t);if(a.editType=e,Array.isArray(t.items)){a.items=new Array(t.items.length);for(var o=0;o<t.items.length;o++)a.items[o]=h(t.items[o],e,"from-root")}return a}return f(t,e,"_"===n.charAt(0)?"nested":"from-root")}e.exports={traces:o,layout:s,traceFlags:function(){return u(l)},layoutFlags:function(){return u(c)},update:function(t,e){var r=e.editType;if(r&&"none"!==r)for(var n=r.split("+"),i=0;i<n.length;i++)t[n[i]]=!0},overrideAll:f}},{"../lib":498}],532:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("gl-mat4/fromQuat"),a=t("../registry"),o=t("../lib"),s=t("../plots/plots"),l=t("../plots/cartesian/axis_ids"),c=t("../components/color"),u=l.cleanId,f=l.getFromTrace,h=a.traceIs;function p(t,e){var r=t[e],n=e.charAt(0);r&&"paper"!==r&&(t[e]=u(r,n,!0))}function d(t){function e(e,r){var n=t[e],i=t.title&&t.title[r];n&&!i&&(t.title||(t.title={}),t.title[r]=t[e],delete t[e])}t&&("string"!=typeof t.title&&"number"!=typeof t.title||(t.title={text:t.title}),e("titlefont","font"),e("titleposition","position"),e("titleside","side"),e("titleoffset","offset"))}function m(t){if(!o.isPlainObject(t))return!1;var e=t.name;return delete t.name,delete t.showlegend,("string"==typeof e||"number"==typeof e)&&String(e)}function g(t,e,r,n){if(r&&!n)return t;if(n&&!r)return e;if(!t.trim())return e;if(!e.trim())return t;var i,a=Math.min(t.length,e.length);for(i=0;i<a&&t.charAt(i)===e.charAt(i);i++);return t.substr(0,i).trim()}function v(t){var e="middle",r="center";return"string"==typeof t&&(-1!==t.indexOf("top")?e="top":-1!==t.indexOf("bottom")&&(e="bottom"),-1!==t.indexOf("left")?r="left":-1!==t.indexOf("right")&&(r="right")),e+" "+r}function y(t,e){return e in t&&"object"==typeof t[e]&&0===Object.keys(t[e]).length}r.clearPromiseQueue=function(t){Array.isArray(t._promises)&&t._promises.length>0&&o.log("Clearing previous rejected promises from queue."),t._promises=[]},r.cleanLayout=function(t){var e,n;t||(t={}),t.xaxis1&&(t.xaxis||(t.xaxis=t.xaxis1),delete t.xaxis1),t.yaxis1&&(t.yaxis||(t.yaxis=t.yaxis1),delete t.yaxis1),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var a=(s.subplotsRegistry.cartesian||{}).attrRegex,l=(s.subplotsRegistry.polar||{}).attrRegex,f=(s.subplotsRegistry.ternary||{}).attrRegex,h=(s.subplotsRegistry.gl3d||{}).attrRegex,m=Object.keys(t);for(e=0;e<m.length;e++){var g=m[e];if(a&&a.test(g)){var v=t[g];v.anchor&&"free"!==v.anchor&&(v.anchor=u(v.anchor)),v.overlaying&&(v.overlaying=u(v.overlaying)),v.type||(v.isdate?v.type="date":v.islog?v.type="log":!1===v.isdate&&!1===v.islog&&(v.type="linear")),"withzero"!==v.autorange&&"tozero"!==v.autorange||(v.autorange=!0,v.rangemode="tozero"),delete v.islog,delete v.isdate,delete v.categories,y(v,"domain")&&delete v.domain,void 0!==v.autotick&&(void 0===v.tickmode&&(v.tickmode=v.autotick?"auto":"linear"),delete v.autotick),d(v)}else if(l&&l.test(g)){d(t[g].radialaxis)}else if(f&&f.test(g)){var x=t[g];d(x.aaxis),d(x.baxis),d(x.caxis)}else if(h&&h.test(g)){var b=t[g],_=b.cameraposition;if(Array.isArray(_)&&4===_[0].length){var w=_[0],T=_[1],k=_[2],A=i([],w),M=[];for(n=0;n<3;++n)M[n]=T[n]+k*A[2+4*n];b.camera={eye:{x:M[0],y:M[1],z:M[2]},center:{x:T[0],y:T[1],z:T[2]},up:{x:0,y:0,z:1}},delete b.cameraposition}d(b.xaxis),d(b.yaxis),d(b.zaxis)}}var S=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<S;e++){var E=t.annotations[e];o.isPlainObject(E)&&(E.ref&&("paper"===E.ref?(E.xref="paper",E.yref="paper"):"data"===E.ref&&(E.xref="x",E.yref="y"),delete E.ref),p(E,"xref"),p(E,"yref"))}var L=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<L;e++){var C=t.shapes[e];o.isPlainObject(C)&&(p(C,"xref"),p(C,"yref"))}var P=Array.isArray(t.images)?t.images.length:0;for(e=0;e<P;e++){var I=t.images[e];o.isPlainObject(I)&&(p(I,"xref"),p(I,"yref"))}var O=t.legend;return O&&(O.x>3?(O.x=1.02,O.xanchor="left"):O.x<-2&&(O.x=-.02,O.xanchor="right"),O.y>3?(O.y=1.02,O.yanchor="bottom"):O.y<-2&&(O.y=-.02,O.yanchor="top")),d(t),"rotate"===t.dragmode&&(t.dragmode="orbit"),c.clean(t),t.template&&t.template.layout&&r.cleanLayout(t.template.layout),t},r.cleanData=function(t){for(var e=0;e<t.length;e++){var n,i=t[e];if("histogramy"===i.type&&"xbins"in i&&!("ybins"in i)&&(i.ybins=i.xbins,delete i.xbins),i.error_y&&"opacity"in i.error_y){var l=c.defaults,f=i.error_y.color||(h(i,"bar")?c.defaultLine:l[e%l.length]);i.error_y.color=c.addOpacity(c.rgb(f),c.opacity(f)*i.error_y.opacity),delete i.error_y.opacity}if("bardir"in i&&("h"!==i.bardir||!h(i,"bar")&&"histogram"!==i.type.substr(0,9)||(i.orientation="h",r.swapXYData(i)),delete i.bardir),"histogramy"===i.type&&r.swapXYData(i),"histogramx"!==i.type&&"histogramy"!==i.type||(i.type="histogram"),"scl"in i&&!("colorscale"in i)&&(i.colorscale=i.scl,delete i.scl),"reversescl"in i&&!("reversescale"in i)&&(i.reversescale=i.reversescl,delete i.reversescl),i.xaxis&&(i.xaxis=u(i.xaxis,"x")),i.yaxis&&(i.yaxis=u(i.yaxis,"y")),h(i,"gl3d")&&i.scene&&(i.scene=s.subplotsRegistry.gl3d.cleanId(i.scene)),!h(i,"pie-like")&&!h(i,"bar-like"))if(Array.isArray(i.textposition))for(n=0;n<i.textposition.length;n++)i.textposition[n]=v(i.textposition[n]);else i.textposition&&(i.textposition=v(i.textposition));var p=a.getModule(i);if(p&&p.colorbar){var x=p.colorbar.container,b=x?i[x]:i;b&&b.colorscale&&("YIGnBu"===b.colorscale&&(b.colorscale="YlGnBu"),"YIOrRd"===b.colorscale&&(b.colorscale="YlOrRd"))}if("surface"===i.type&&o.isPlainObject(i.contours)){var _=["x","y","z"];for(n=0;n<_.length;n++){var w=i.contours[_[n]];o.isPlainObject(w)&&(w.highlightColor&&(w.highlightcolor=w.highlightColor,delete w.highlightColor),w.highlightWidth&&(w.highlightwidth=w.highlightWidth,delete w.highlightWidth))}}if("candlestick"===i.type||"ohlc"===i.type){var T=!1!==(i.increasing||{}).showlegend,k=!1!==(i.decreasing||{}).showlegend,A=m(i.increasing),M=m(i.decreasing);if(!1!==A&&!1!==M){var S=g(A,M,T,k);S&&(i.name=S)}else!A&&!M||i.name||(i.name=A||M)}if(Array.isArray(i.transforms)){var E=i.transforms;for(n=0;n<E.length;n++){var L=E[n];if(o.isPlainObject(L))switch(L.type){case"filter":L.filtersrc&&(L.target=L.filtersrc,delete L.filtersrc),L.calendar&&(L.valuecalendar||(L.valuecalendar=L.calendar),delete L.calendar);break;case"groupby":if(L.styles=L.styles||L.style,L.styles&&!Array.isArray(L.styles)){var C=L.styles,P=Object.keys(C);L.styles=[];for(var I=0;I<P.length;I++)L.styles.push({target:P[I],value:C[P[I]]})}}}}y(i,"line")&&delete i.line,"marker"in i&&(y(i.marker,"line")&&delete i.marker.line,y(i,"marker")&&delete i.marker),c.clean(i),i.autobinx&&(delete i.autobinx,delete i.xbins),i.autobiny&&(delete i.autobiny,delete i.ybins),d(i),i.colorbar&&d(i.colorbar),i.marker&&i.marker.colorbar&&d(i.marker.colorbar),i.line&&i.line.colorbar&&d(i.line.colorbar),i.aaxis&&d(i.aaxis),i.baxis&&d(i.baxis)}},r.swapXYData=function(t){var e;if(o.swapAttrs(t,["?","?0","d?","?bins","nbins?","autobin?","?src","error_?"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n="copy_ystyle"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);o.swapAttrs(t,["error_?.copy_ystyle"]),n&&o.swapAttrs(t,["error_?.color","error_?.thickness","error_?.width"])}if("string"==typeof t.hoverinfo){var i=t.hoverinfo.split("+");for(e=0;e<i.length;e++)"x"===i[e]?i[e]="y":"y"===i[e]&&(i[e]="x");t.hoverinfo=i.join("+")}},r.coerceTraceIndices=function(t,e){if(n(e))return[e];if(!Array.isArray(e)||!e.length)return t.data.map((function(t,e){return e}));if(Array.isArray(e)){for(var r=[],i=0;i<e.length;i++)o.isIndex(e[i],t.data.length)?r.push(e[i]):o.warn("trace index (",e[i],") is not a number or is out of bounds");return r}return e},r.manageArrayContainers=function(t,e,r){var i=t.obj,a=t.parts,s=a.length,l=a[s-1],c=n(l);if(c&&null===e){var u=a.slice(0,s-1).join(".");o.nestedProperty(i,u).get().splice(l,1)}else c&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var x=/(\.[^\[\]\.]+|\[[^\[\]\.]+\])$/;function b(t){var e=t.search(x);if(e>0)return t.substr(0,e)}r.hasParent=function(t,e){for(var r=b(e);r;){if(r in t)return!0;r=b(r)}return!1};var _=["x","y","z"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var s=f(t,i,_[a]);if(s&&"log"!==s.type){var l=s._name,c=s._id.substr(1);if("scene"===c.substr(0,5)){if(void 0!==r[c])continue;l=c+"."+l}var u=l+".type";void 0===r[l]&&void 0===r[u]&&o.nestedProperty(t.layout,u).set(null)}}}},{"../components/color":361,"../lib":498,"../plots/cartesian/axis_ids":553,"../plots/plots":614,"../registry":633,"fast-isnumeric":185,"gl-mat4/fromQuat":195}],533:[function(t,e,r){"use strict";var n=t("./plot_api");r._doPlot=n._doPlot,r.newPlot=n.newPlot,r.restyle=n.restyle,r.relayout=n.relayout,r.redraw=n.redraw,r.update=n.update,r._guiRestyle=n._guiRestyle,r._guiRelayout=n._guiRelayout,r._guiUpdate=n._guiUpdate,r._storeDirectGUIEdit=n._storeDirectGUIEdit,r.react=n.react,r.extendTraces=n.extendTraces,r.prependTraces=n.prependTraces,r.addTraces=n.addTraces,r.deleteTraces=n.deleteTraces,r.moveTraces=n.moveTraces,r.purge=n.purge,r.addFrames=n.addFrames,r.deleteFrames=n.deleteFrames,r.animate=n.animate,r.setPlotConfig=n.setPlotConfig,r.toImage=t("./to_image"),r.validate=t("./validate"),r.downloadImage=t("../snapshot/download");var i=t("./template_api");r.makeTemplate=i.makeTemplate,r.validateTemplate=i.validateTemplate},{"../snapshot/download":635,"./plot_api":535,"./template_api":540,"./to_image":541,"./validate":542}],534:[function(t,e,r){"use strict";var n=t("../lib/is_plain_object"),i=t("../lib/noop"),a=t("../lib/loggers"),o=t("../lib/search").sorterAsc,s=t("../registry");r.containerArrayMatch=t("./container_array_match");var l=r.isAddVal=function(t){return"add"===t||n(t)},c=r.isRemoveVal=function(t){return null===t||"remove"===t};r.applyContainerArrayChanges=function(t,e,r,n,u){var f=e.astr,h=s.getComponentMethod(f,"supplyLayoutDefaults"),p=s.getComponentMethod(f,"draw"),d=s.getComponentMethod(f,"drawOne"),m=n.replot||n.recalc||h===i||p===i,g=t.layout,v=t._fullLayout;if(r[""]){Object.keys(r).length>1&&a.warn("Full array edits are incompatible with other edits",f);var y=r[""][""];if(c(y))e.set(null);else{if(!Array.isArray(y))return a.warn("Unrecognized full array edit value",f,y),!0;e.set(y)}return!m&&(h(g,v),p(t),!0)}var x,b,_,w,T,k,A,M,S=Object.keys(r).map(Number).sort(o),E=e.get(),L=E||[],C=u(v,f).get(),P=[],I=-1,O=L.length;for(x=0;x<S.length;x++)if(w=r[_=S[x]],T=Object.keys(w),k=w[""],A=l(k),_<0||_>L.length-(A?0:1))a.warn("index out of range",f,_);else if(void 0!==k)T.length>1&&a.warn("Insertion & removal are incompatible with edits to the same index.",f,_),c(k)?P.push(_):A?("add"===k&&(k={}),L.splice(_,0,k),C&&C.splice(_,0,{})):a.warn("Unrecognized full object edit value",f,_,k),-1===I&&(I=_);else for(b=0;b<T.length;b++)M=f+"["+_+"].",u(L[_],T[b],M).set(w[T[b]]);for(x=P.length-1;x>=0;x--)L.splice(P[x],1),C&&C.splice(P[x],1);if(L.length?E||e.set(L):e.set(null),m)return!1;if(h(g,v),d!==i){var z;if(-1===I)z=S;else{for(O=Math.max(L.length,O),z=[],x=0;x<S.length&&!((_=S[x])>=I);x++)z.push(_);for(x=I;x<O;x++)z.push(x)}for(x=0;x<z.length;x++)d(t,z[x])}else p(t);return!0}},{"../lib/is_plain_object":499,"../lib/loggers":502,"../lib/noop":507,"../lib/search":518,"../registry":633,"./container_array_match":530}],535:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("has-hover"),o=t("../lib"),s=o.nestedProperty,l=t("../lib/events"),c=t("../lib/queue"),u=t("../registry"),f=t("./plot_schema"),h=t("../plots/plots"),p=t("../plots/cartesian/axes"),d=t("../components/drawing"),m=t("../components/color"),g=t("../plots/cartesian/graph_interact").initInteractions,v=t("../constants/xmlns_namespaces"),y=t("../plots/cartesian/select").clearSelect,x=t("./plot_config").dfltConfig,b=t("./manage_arrays"),_=t("./helpers"),w=t("./subroutines"),T=t("./edit_types"),k=t("../plots/cartesian/constants").AX_NAME_PATTERN,A=0;function M(t){var e=t._fullLayout;e._redrawFromAutoMarginCount?e._redrawFromAutoMarginCount--:t.emit("plotly_afterplot")}function S(t,e){try{t._fullLayout._paper.style("background",e)}catch(t){o.error(t)}}function E(t,e){S(t,m.combine(e,"white"))}function L(t,e){if(!t._context){t._context=o.extendDeep({},x);var r=n.select("base");t._context._baseUrl=r.size()&&r.attr("href")?window.location.href.split("#")[0]:""}var i,s,l,c=t._context;if(e){for(s=Object.keys(e),i=0;i<s.length;i++)"editable"!==(l=s[i])&&"edits"!==l&&l in c&&("setBackground"===l&&"opaque"===e[l]?c[l]=E:c[l]=e[l]);e.plot3dPixelRatio&&!c.plotGlPixelRatio&&(c.plotGlPixelRatio=c.plot3dPixelRatio);var u=e.editable;if(void 0!==u)for(c.editable=u,s=Object.keys(c.edits),i=0;i<s.length;i++)c.edits[s[i]]=u;if(e.edits)for(s=Object.keys(e.edits),i=0;i<s.length;i++)(l=s[i])in c.edits&&(c.edits[l]=e.edits[l]);c._exportedPlot=e._exportedPlot}c.staticPlot&&(c.editable=!1,c.edits={},c.autosizable=!1,c.scrollZoom=!1,c.doubleClick=!1,c.showTips=!1,c.showLink=!1,c.displayModeBar=!1),"hover"!==c.displayModeBar||a||(c.displayModeBar=!0),"transparent"!==c.setBackground&&"function"==typeof c.setBackground||(c.setBackground=S),c._hasZeroHeight=c._hasZeroHeight||0===t.clientHeight,c._hasZeroWidth=c._hasZeroWidth||0===t.clientWidth;var f=c.scrollZoom,h=c._scrollZoom={};if(!0===f)h.cartesian=1,h.gl3d=1,h.geo=1,h.mapbox=1;else if("string"==typeof f){var p=f.split("+");for(i=0;i<p.length;i++)h[p[i]]=1}else!1!==f&&(h.gl3d=1,h.geo=1,h.mapbox=1)}function C(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)(n=t[r])<0?a.push(i+n):a.push(n);return a}function P(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error("all values in "+r+" must be integers");if(i>=t.data.length||i<-t.data.length)throw new Error(r+" must be valid indices for gd.data.");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error("each index in "+r+" must be unique.")}}function I(t,e,r){if(!Array.isArray(t.data))throw new Error("gd.data must be an array.");if(void 0===e)throw new Error("currentIndices is a required argument.");if(Array.isArray(e)||(e=[e]),P(t,e,"currentIndices"),void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&P(t,r,"newIndices"),void 0!==r&&e.length!==r.length)throw new Error("current and new indices must be of equal length.")}function O(t,e,r,n,a){!function(t,e,r,n){var i=o.isPlainObject(n);if(!Array.isArray(t.data))throw new Error("gd.data must be an array");if(!o.isPlainObject(e))throw new Error("update must be a key:value object");if(void 0===r)throw new Error("indices must be an integer or array of integers");for(var a in P(t,r,"indices"),e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error("attribute "+a+" must be an array of length equal to indices array length");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error("when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object")}}(t,e,r,n);for(var l=function(t,e,r,n){var a,l,c,u,f,h=o.isPlainObject(n),p=[];for(var d in Array.isArray(r)||(r=[r]),r=C(r,t.data.length-1),e)for(var m=0;m<r.length;m++){if(a=t.data[r[m]],l=(c=s(a,d)).get(),u=e[d][m],!o.isArrayOrTypedArray(u))throw new Error("attribute: "+d+" index: "+m+" must be an array");if(!o.isArrayOrTypedArray(l))throw new Error("cannot extend missing or non-array attribute: "+d);if(l.constructor!==u.constructor)throw new Error("cannot extend array with an array of a different type: "+d);f=h?n[d][m]:n,i(f)||(f=-1),p.push({prop:c,target:l,insert:u,maxp:Math.floor(f)})}return p}(t,e,r,n),c={},u={},f=0;f<l.length;f++){var h=l[f].prop,p=l[f].maxp,d=a(l[f].target,l[f].insert,p);h.set(d[0]),Array.isArray(c[h.astr])||(c[h.astr]=[]),c[h.astr].push(d[1]),Array.isArray(u[h.astr])||(u[h.astr]=[]),u[h.astr].push(l[f].target.length)}return{update:c,maxPoints:u}}function z(t,e){var r=new t.constructor(t.length+e.length);return r.set(t),r.set(e,t.length),r}function D(t,e,n,i){t=o.getGraphDiv(t),_.clearPromiseQueue(t);var a={};if("string"==typeof e)a[e]=n;else{if(!o.isPlainObject(e))return o.warn("Restyle fail.",e,n,i),Promise.reject();a=o.extendFlat({},e),void 0===i&&(i=n)}Object.keys(a).length&&(t.changed=!0);var s=_.coerceTraceIndices(t,i),l=N(t,a,s),u=l.flags;u.calc&&(t.calcdata=void 0),u.clearAxisTypes&&_.clearAxisTypes(t,s,{});var f=[];u.fullReplot?f.push(r._doPlot):(f.push(h.previousPromises),h.supplyDefaults(t),u.markerSize&&(h.doCalcdata(t),H(f)),u.style&&f.push(w.doTraceStyle),u.colorbars&&f.push(w.doColorBars),f.push(M)),f.push(h.rehover,h.redrag),c.add(t,D,[t,l.undoit,l.traces],D,[t,l.redoit,l.traces]);var p=o.syncOrAsync(f,t);return p&&p.then||(p=Promise.resolve()),p.then((function(){return t.emit("plotly_restyle",l.eventData),t}))}function R(t){return void 0===t?null:t}function F(t,e){return e?function(e,r,n){var i=s(e,r),a=i.set;return i.set=function(e){B((n||"")+r,i.get(),e,t),a(e)},i}:s}function B(t,e,r,n){if(Array.isArray(e)||Array.isArray(r))for(var i=Array.isArray(e)?e:[],a=Array.isArray(r)?r:[],s=Math.max(i.length,a.length),l=0;l<s;l++)B(t+"["+l+"]",i[l],a[l],n);else if(o.isPlainObject(e)||o.isPlainObject(r)){var c=o.isPlainObject(e)?e:{},u=o.isPlainObject(r)?r:{},f=o.extendFlat({},c,u);for(var h in f)B(t+"."+h,c[h],u[h],n)}else void 0===n[t]&&(n[t]=R(e))}function N(t,e,r){var n,i=t._fullLayout,a=t._fullData,l=t.data,c=i._guiEditing,d=F(i._preGUI,c),m=o.extendDeepAll({},e);j(e);var g,v=T.traceFlags(),y={},x={};function b(){return r.map((function(){}))}function w(t){var e=p.id2name(t);-1===g.indexOf(e)&&g.push(e)}function k(t){return"LAYOUT"+t+".autorange"}function A(t){return"LAYOUT"+t+".range"}function M(t){for(var e=t;e<a.length;e++)if(a[e]._input===l[t])return a[e]}function S(n,a,o){if(Array.isArray(n))n.forEach((function(t){S(t,a,o)}));else if(!(n in e)&&!_.hasParent(e,n)){var s;if("LAYOUT"===n.substr(0,6))s=d(t.layout,n.replace("LAYOUT",""));else{var u=r[o];s=F(i._tracePreGUI[M(u)._fullInput.uid],c)(l[u],n)}n in x||(x[n]=b()),void 0===x[n][o]&&(x[n][o]=R(s.get())),void 0!==a&&s.set(a)}}function E(t){return function(e){return a[e][t]}}function L(t){return function(e,n){return!1===e?a[r[n]][t]:null}}for(var C in e){if(_.hasParent(e,C))throw new Error("cannot set "+C+" and a parent attribute simultaneously");var P,I,O,z,D,B,N=e[C];if("autobinx"!==C&&"autobiny"!==C||(C=C.charAt(C.length-1)+"bins",N=Array.isArray(N)?N.map(L(C)):!1===N?r.map(E(C)):null),y[C]=N,"LAYOUT"!==C.substr(0,6)){for(x[C]=b(),n=0;n<r.length;n++){if(P=l[r[n]],I=M(r[n]),z=(O=F(i._tracePreGUI[I._fullInput.uid],c)(P,C)).get(),void 0!==(D=Array.isArray(N)?N[n%N.length]:N)){var U=O.parts[O.parts.length-1],V=C.substr(0,C.length-U.length-1),H=V?V+".":"",q=V?s(I,V).get():I;if((B=f.getTraceValObject(I,O.parts))&&B.impliedEdits&&null!==D)for(var G in B.impliedEdits)S(o.relativeAttr(C,G),B.impliedEdits[G],n);else if("thicknessmode"!==U&&"lenmode"!==U||z===D||"fraction"!==D&&"pixels"!==D||!q){if("type"===C&&("pie"===D!=("pie"===z)||"funnelarea"===D!=("funnelarea"===z))){var Y="x",W="y";"bar"!==D&&"bar"!==z||"h"!==P.orientation||(Y="y",W="x"),o.swapAttrs(P,["?","?src"],"labels",Y),o.swapAttrs(P,["d?","?0"],"label",Y),o.swapAttrs(P,["?","?src"],"values",W),"pie"===z||"funnelarea"===z?(s(P,"marker.color").set(s(P,"marker.colors").get()),i._pielayer.selectAll("g.trace").remove()):u.traceIs(P,"cartesian")&&s(P,"marker.colors").set(s(P,"marker.color").get())}}else{var X=i._size,Z=q.orient,J="top"===Z||"bottom"===Z;if("thicknessmode"===U){var K=J?X.h:X.w;S(H+"thickness",q.thickness*("fraction"===D?1/K:K),n)}else{var Q=J?X.w:X.h;S(H+"len",q.len*("fraction"===D?1/Q:Q),n)}}x[C][n]=R(z);if(-1!==["swapxy","swapxyaxes","orientation","orientationaxes"].indexOf(C)){if("orientation"===C){O.set(D);var $=P.x&&!P.y?"h":"v";if((O.get()||$)===I.orientation)continue}else"orientationaxes"===C&&(P.orientation={v:"h",h:"v"}[I.orientation]);_.swapXYData(P),v.calc=v.clearAxisTypes=!0}else-1!==h.dataArrayContainers.indexOf(O.parts[0])?(_.manageArrayContainers(O,D,x),v.calc=!0):(B?B.arrayOk&&!u.traceIs(I,"regl")&&(o.isArrayOrTypedArray(D)||o.isArrayOrTypedArray(z))?v.calc=!0:T.update(v,B):v.calc=!0,O.set(D))}}if(-1!==["swapxyaxes","orientationaxes"].indexOf(C)&&p.swap(t,r),"orientationaxes"===C){var tt=s(t.layout,"hovermode"),et=tt.get();"x"===et?tt.set("y"):"y"===et?tt.set("x"):"x unified"===et?tt.set("y unified"):"y unified"===et&&tt.set("x unified")}if(-1!==["orientation","type"].indexOf(C)){for(g=[],n=0;n<r.length;n++){var rt=l[r[n]];u.traceIs(rt,"cartesian")&&(w(rt.xaxis||"x"),w(rt.yaxis||"y"))}S(g.map(k),!0,0),S(g.map(A),[0,1],0)}}else O=d(t.layout,C.replace("LAYOUT","")),x[C]=[R(O.get())],O.set(Array.isArray(N)?N[0]:N),v.calc=!0}return(v.calc||v.plot)&&(v.fullReplot=!0),{flags:v,undoit:x,redoit:y,traces:r,eventData:o.extendDeepNoArrays([],[m,r])}}function j(t){var e,r,n,i=o.counterRegex("axis",".title",!1,!1),a=/colorbar\.title$/,s=Object.keys(t);for(e=0;e<s.length;e++)r=s[e],n=t[r],"title"!==r&&!i.test(r)&&!a.test(r)||"string"!=typeof n&&"number"!=typeof n?r.indexOf("titlefont")>-1&&-1===r.indexOf("grouptitlefont")?l(r,r.replace("titlefont","title.font")):r.indexOf("titleposition")>-1?l(r,r.replace("titleposition","title.position")):r.indexOf("titleside")>-1?l(r,r.replace("titleside","title.side")):r.indexOf("titleoffset")>-1&&l(r,r.replace("titleoffset","title.offset")):l(r,r.replace("title","title.text"));function l(e,r){t[r]=t[e],delete t[e]}}function U(t,e,r){t=o.getGraphDiv(t),_.clearPromiseQueue(t);var n={};if("string"==typeof e)n[e]=r;else{if(!o.isPlainObject(e))return o.warn("Relayout fail.",e,r),Promise.reject();n=o.extendFlat({},e)}Object.keys(n).length&&(t.changed=!0);var i=W(t,n),a=i.flags;a.calc&&(t.calcdata=void 0);var s=[h.previousPromises];a.layoutReplot?s.push(w.layoutReplot):Object.keys(n).length&&(V(t,a,i)||h.supplyDefaults(t),a.legend&&s.push(w.doLegend),a.layoutstyle&&s.push(w.layoutStyles),a.axrange&&H(s,i.rangesAltered),a.ticks&&s.push(w.doTicksRelayout),a.modebar&&s.push(w.doModeBar),a.camera&&s.push(w.doCamera),a.colorbars&&s.push(w.doColorBars),s.push(M)),s.push(h.rehover,h.redrag),c.add(t,U,[t,i.undoit],U,[t,i.redoit]);var l=o.syncOrAsync(s,t);return l&&l.then||(l=Promise.resolve(t)),l.then((function(){return t.emit("plotly_relayout",i.eventData),t}))}function V(t,e,r){var n=t._fullLayout;if(!e.axrange)return!1;for(var i in e)if("axrange"!==i&&e[i])return!1;for(var a in r.rangesAltered){var o=p.id2name(a),s=t.layout[o],l=n[o];if(l.autorange=s.autorange,s.range&&(l.range=s.range.slice()),l.cleanRange(),l._matchGroup)for(var c in l._matchGroup)if(c!==a){var u=n[p.id2name(c)];u.autorange=l.autorange,u.range=l.range.slice(),u._input.range=l.range.slice()}}return!0}function H(t,e){var r=e?function(t){var r=[],n=!0;for(var i in e){var a=p.getFromId(t,i);if(r.push(i),-1!==(a.ticklabelposition||"").indexOf("inside")&&a._anchorAxis&&r.push(a._anchorAxis._id),a._matchGroup)for(var o in a._matchGroup)e[o]||r.push(o);a.automargin&&(n=!1)}return p.draw(t,r,{skipTitle:n})}:function(t){return p.draw(t,"redraw")};t.push(y,w.doAutoRangeAndConstraints,r,w.drawData,w.finalDraw)}var q=/^[xyz]axis[0-9]*\.range(\[[0|1]\])?$/,G=/^[xyz]axis[0-9]*\.autorange$/,Y=/^[xyz]axis[0-9]*\.domain(\[[0|1]\])?$/;function W(t,e){var r,n,i,a=t.layout,l=t._fullLayout,c=l._guiEditing,h=F(l._preGUI,c),d=Object.keys(e),m=p.list(t),g=o.extendDeepAll({},e),v={};for(j(e),d=Object.keys(e),n=0;n<d.length;n++)if(0===d[n].indexOf("allaxes")){for(i=0;i<m.length;i++){var y=m[i]._id.substr(1),x=-1!==y.indexOf("scene")?y+".":"",w=d[n].replace("allaxes",x+m[i]._name);e[w]||(e[w]=e[d[n]])}delete e[d[n]]}var A=T.layoutFlags(),M={},S={};function E(t,r){if(Array.isArray(t))t.forEach((function(t){E(t,r)}));else if(!(t in e)&&!_.hasParent(e,t)){var n=h(a,t);t in S||(S[t]=R(n.get())),void 0!==r&&n.set(r)}}var L,C={};function P(t){var e=p.name2id(t.split(".")[0]);return C[e]=1,e}for(var I in e){if(_.hasParent(e,I))throw new Error("cannot set "+I+" and a parent attribute simultaneously");for(var O=h(a,I),z=e[I],D=O.parts.length-1;D>0&&"string"!=typeof O.parts[D];)D--;var B=O.parts[D],N=O.parts[D-1]+"."+B,U=O.parts.slice(0,D).join("."),V=s(t.layout,U).get(),H=s(l,U).get(),W=O.get();if(void 0!==z){M[I]=z,S[I]="reverse"===B?z:R(W);var Z=f.getLayoutValObject(l,O.parts);if(Z&&Z.impliedEdits&&null!==z)for(var J in Z.impliedEdits)E(o.relativeAttr(I,J),Z.impliedEdits[J]);if(-1!==["width","height"].indexOf(I))if(z){E("autosize",null);var K="height"===I?"width":"height";E(K,l[K])}else l[I]=t._initialAutoSize[I];else if("autosize"===I)E("width",z?null:l.width),E("height",z?null:l.height);else if(N.match(q))P(N),s(l,U+"._inputRange").set(null);else if(N.match(G)){P(N),s(l,U+"._inputRange").set(null);var Q=s(l,U).get();Q._inputDomain&&(Q._input.domain=Q._inputDomain.slice())}else N.match(Y)&&s(l,U+"._inputDomain").set(null);if("type"===B){L=V;var $="linear"===H.type&&"log"===z,tt="log"===H.type&&"linear"===z;if($||tt){if(L&&L.range)if(H.autorange)$&&(L.range=L.range[1]>L.range[0]?[1,2]:[2,1]);else{var et=L.range[0],rt=L.range[1];$?(et<=0&&rt<=0&&E(U+".autorange",!0),et<=0?et=rt/1e6:rt<=0&&(rt=et/1e6),E(U+".range[0]",Math.log(et)/Math.LN10),E(U+".range[1]",Math.log(rt)/Math.LN10)):(E(U+".range[0]",Math.pow(10,et)),E(U+".range[1]",Math.pow(10,rt)))}else E(U+".autorange",!0);Array.isArray(l._subplots.polar)&&l._subplots.polar.length&&l[O.parts[0]]&&"radialaxis"===O.parts[1]&&delete l[O.parts[0]]._subplot.viewInitial["radialaxis.range"],u.getComponentMethod("annotations","convertCoords")(t,H,z,E),u.getComponentMethod("images","convertCoords")(t,H,z,E)}else E(U+".autorange",!0),E(U+".range",null);s(l,U+"._inputRange").set(null)}else if(B.match(k)){var nt=s(l,I).get(),it=(z||{}).type;it&&"-"!==it||(it="linear"),u.getComponentMethod("annotations","convertCoords")(t,nt,it,E),u.getComponentMethod("images","convertCoords")(t,nt,it,E)}var at=b.containerArrayMatch(I);if(at){r=at.array,n=at.index;var ot=at.property,st=Z||{editType:"calc"};""!==n&&""===ot&&(b.isAddVal(z)?S[I]=null:b.isRemoveVal(z)?S[I]=(s(a,r).get()||[])[n]:o.warn("unrecognized full object value",e)),T.update(A,st),v[r]||(v[r]={});var lt=v[r][n];lt||(lt=v[r][n]={}),lt[ot]=z,delete e[I]}else"reverse"===B?(V.range?V.range.reverse():(E(U+".autorange",!0),V.range=[1,0]),H.autorange?A.calc=!0:A.plot=!0):(l._has("scatter-like")&&l._has("regl")&&"dragmode"===I&&("lasso"===z||"select"===z)&&"lasso"!==W&&"select"!==W||l._has("gl2d")?A.plot=!0:Z?T.update(A,Z):A.calc=!0,O.set(z))}}for(r in v){b.applyContainerArrayChanges(t,h(a,r),v[r],A,h)||(A.plot=!0)}for(var ct in C){var ut=(L=p.getFromId(t,ct))&&L._constraintGroup;if(ut)for(var ft in A.calc=!0,ut)C[ft]||(p.getFromId(t,ft)._constraintShrinkable=!0)}return(X(t)||e.height||e.width)&&(A.plot=!0),(A.plot||A.calc)&&(A.layoutReplot=!0),{flags:A,rangesAltered:C,undoit:S,redoit:M,eventData:g}}function X(t){var e=t._fullLayout,r=e.width,n=e.height;return t.layout.autosize&&h.plotAutoSize(t,t.layout,e),e.width!==r||e.height!==n}function Z(t,e,n,i){t=o.getGraphDiv(t),_.clearPromiseQueue(t),o.isPlainObject(e)||(e={}),o.isPlainObject(n)||(n={}),Object.keys(e).length&&(t.changed=!0),Object.keys(n).length&&(t.changed=!0);var a=_.coerceTraceIndices(t,i),s=N(t,o.extendFlat({},e),a),l=s.flags,u=W(t,o.extendFlat({},n)),f=u.flags;(l.calc||f.calc)&&(t.calcdata=void 0),l.clearAxisTypes&&_.clearAxisTypes(t,a,n);var p=[];f.layoutReplot?p.push(w.layoutReplot):l.fullReplot?p.push(r._doPlot):(p.push(h.previousPromises),V(t,f,u)||h.supplyDefaults(t),l.style&&p.push(w.doTraceStyle),(l.colorbars||f.colorbars)&&p.push(w.doColorBars),f.legend&&p.push(w.doLegend),f.layoutstyle&&p.push(w.layoutStyles),f.axrange&&H(p,u.rangesAltered),f.ticks&&p.push(w.doTicksRelayout),f.modebar&&p.push(w.doModeBar),f.camera&&p.push(w.doCamera),p.push(M)),p.push(h.rehover,h.redrag),c.add(t,Z,[t,s.undoit,u.undoit,s.traces],Z,[t,s.redoit,u.redoit,s.traces]);var d=o.syncOrAsync(p,t);return d&&d.then||(d=Promise.resolve(t)),d.then((function(){return t.emit("plotly_update",{data:s.eventData,layout:u.eventData}),t}))}function J(t){return function(e){e._fullLayout._guiEditing=!0;var r=t.apply(null,arguments);return e._fullLayout._guiEditing=!1,r}}var K=[{pattern:/^hiddenlabels/,attr:"legend.uirevision"},{pattern:/^((x|y)axis\d*)\.((auto)?range|title\.text)/},{pattern:/axis\d*\.showspikes$/,attr:"modebar.uirevision"},{pattern:/(hover|drag)mode$/,attr:"modebar.uirevision"},{pattern:/^(scene\d*)\.camera/},{pattern:/^(geo\d*)\.(projection|center|fitbounds)/},{pattern:/^(ternary\d*\.[abc]axis)\.(min|title\.text)$/},{pattern:/^(polar\d*\.radialaxis)\.((auto)?range|angle|title\.text)/},{pattern:/^(polar\d*\.angularaxis)\.rotation/},{pattern:/^(mapbox\d*)\.(center|zoom|bearing|pitch)/},{pattern:/^legend\.(x|y)$/,attr:"editrevision"},{pattern:/^(shapes|annotations)/,attr:"editrevision"},{pattern:/^title\.text$/,attr:"editrevision"}],Q=[{pattern:/^selectedpoints$/,attr:"selectionrevision"},{pattern:/(^|value\.)visible$/,attr:"legend.uirevision"},{pattern:/^dimensions\[\d+\]\.constraintrange/},{pattern:/^node\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\.)name$/},{pattern:/colorbar\.title\.text$/},{pattern:/colorbar\.(x|y)$/,attr:"editrevision"}];function $(t,e){for(var r=0;r<e.length;r++){var n=e[r],i=t.match(n.pattern);if(i){var a=i[1]||"";return{head:a,tail:t.substr(a.length+1),attr:n.attr}}}}function tt(t,e){var r=s(e,t).get();if(void 0!==r)return r;var n=t.split(".");for(n.pop();n.length>1;)if(n.pop(),void 0!==(r=s(e,n.join(".")+".uirevision").get()))return r;return e.uirevision}function et(t,e){for(var r=0;r<e.length;r++)if(e[r]._fullInput.uid===t)return r;return-1}function rt(t,e,r){for(var n=0;n<e.length;n++)if(e[n].uid===t)return n;return!e[r]||e[r].uid?-1:r}function nt(t,e){var r=o.isPlainObject(t),n=Array.isArray(t);return r||n?(r&&o.isPlainObject(e)||n&&Array.isArray(e))&&JSON.stringify(t)===JSON.stringify(e):t===e}function it(t,e,r,n){var i,a,l,c=n.getValObject,u=n.flags,f=n.immutable,h=n.inArray,p=n.arrayIndex;function d(){var t=i.editType;h&&-1!==t.indexOf("arraydraw")?o.pushUnique(u.arrays[h],p):(T.update(u,i),"none"!==t&&u.nChanges++,n.transition&&i.anim&&u.nChangesAnim++,(q.test(l)||G.test(l))&&(u.rangesAltered[r[0]]=1),Y.test(l)&&s(e,"_inputDomain").set(null),"datarevision"===a&&(u.newDataRevision=1))}function m(t){return"data_array"===t.valType||t.arrayOk}for(a in t){if(u.calc&&!n.transition)return;var g=t[a],v=e[a],y=r.concat(a);if(l=y.join("."),"_"!==a.charAt(0)&&"function"!=typeof g&&g!==v){if(("tick0"===a||"dtick"===a)&&"geo"!==r[0]){var x=e.tickmode;if("auto"===x||"array"===x||!x)continue}if(("range"!==a||!e.autorange)&&("zmin"!==a&&"zmax"!==a||"contourcarpet"!==e.type)&&(i=c(y))&&(!i._compareAsJSON||JSON.stringify(g)!==JSON.stringify(v))){var b,_=i.valType,w=m(i),k=Array.isArray(g),A=Array.isArray(v);if(k&&A){var M="_input_"+a,S=t[M],E=e[M];if(Array.isArray(S)&&S===E)continue}if(void 0===v)w&&k?u.calc=!0:d();else if(i._isLinkedToArray){var L=[],C=!1;h||(u.arrays[a]=L);var P=Math.min(g.length,v.length),I=Math.max(g.length,v.length);if(P!==I){if("arraydraw"!==i.editType){d();continue}C=!0}for(b=0;b<P;b++)it(g[b],v[b],y.concat(b),o.extendFlat({inArray:a,arrayIndex:b},n));if(C)for(b=P;b<I;b++)L.push(b)}else!_&&o.isPlainObject(g)?it(g,v,y,n):w?k&&A?(f&&(u.calc=!0),(f||n.newDataRevision)&&d()):k!==A?u.calc=!0:d():k&&A&&g.length===v.length&&String(g)===String(v)||d()}}}for(a in e)if(!(a in t)&&"_"!==a.charAt(0)&&"function"!=typeof e[a]){if(m(i=c(r.concat(a)))&&Array.isArray(e[a]))return void(u.calc=!0);d()}}function at(t){var e=t._fullLayout,r=t.getBoundingClientRect();if(!o.equalDomRects(r,e._lastBBox)){var n=e._invTransform=o.inverseTransformMatrix(o.getFullTransformMatrix(t));e._invScaleX=Math.sqrt(n[0][0]*n[0][0]+n[0][1]*n[0][1]+n[0][2]*n[0][2]),e._invScaleY=Math.sqrt(n[1][0]*n[1][0]+n[1][1]*n[1][1]+n[1][2]*n[1][2]),e._lastBBox=r}}r.animate=function(t,e,r){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t+". It's likely that you've failed to create a plot before animating it. For more details, see https://plotly.com/javascript/animations/");var n=t._transitionData;n._frameQueue||(n._frameQueue=[]);var i=(r=h.supplyAnimationDefaults(r)).transition,a=r.frame;function s(t){return Array.isArray(i)?t>=i.length?i[0]:i[t]:i}function l(t){return Array.isArray(a)?t>=a.length?a[0]:a[t]:a}function c(t,e){var r=0;return function(){if(t&&++r===e)return t()}}return void 0===n._frameWaitingCnt&&(n._frameWaitingCnt=0),new Promise((function(a,u){function f(){n._currentFrame&&n._currentFrame.onComplete&&n._currentFrame.onComplete();var e=n._currentFrame=n._frameQueue.shift();if(e){var r=e.name?e.name.toString():null;t._fullLayout._currentFrame=r,n._lastFrameAt=Date.now(),n._timeToNext=e.frameOpts.duration,h.transition(t,e.frame.data,e.frame.layout,_.coerceTraceIndices(t,e.frame.traces),e.frameOpts,e.transitionOpts).then((function(){e.onComplete&&e.onComplete()})),t.emit("plotly_animatingframe",{name:r,frame:e.frame,animation:{frame:e.frameOpts,transition:e.transitionOpts}})}else t.emit("plotly_animated"),window.cancelAnimationFrame(n._animationRaf),n._animationRaf=null}function p(){t.emit("plotly_animating"),n._lastFrameAt=-1/0,n._timeToNext=0,n._runningTransitions=0,n._currentFrame=null;var e=function(){n._animationRaf=window.requestAnimationFrame(e),Date.now()-n._lastFrameAt>n._timeToNext&&f()};e()}var d,m,g=0;function v(t){return Array.isArray(i)?g>=i.length?t.transitionOpts=i[g]:t.transitionOpts=i[0]:t.transitionOpts=i,g++,t}var y=[],x=null==e,b=Array.isArray(e);if(!x&&!b&&o.isPlainObject(e))y.push({type:"object",data:v(o.extendFlat({},e))});else if(x||-1!==["string","number"].indexOf(typeof e))for(d=0;d<n._frames.length;d++)(m=n._frames[d])&&(x||String(m.group)===String(e))&&y.push({type:"byname",name:String(m.name),data:v({name:m.name})});else if(b)for(d=0;d<e.length;d++){var w=e[d];-1!==["number","string"].indexOf(typeof w)?(w=String(w),y.push({type:"byname",name:w,data:v({name:w})})):o.isPlainObject(w)&&y.push({type:"object",data:v(o.extendFlat({},w))})}for(d=0;d<y.length;d++)if("byname"===(m=y[d]).type&&!n._frameHash[m.data.name])return o.warn('animate failure: frame not found: "'+m.data.name+'"'),void u();-1!==["next","immediate"].indexOf(r.mode)&&function(){if(0!==n._frameQueue.length){for(;n._frameQueue.length;){var e=n._frameQueue.pop();e.onInterrupt&&e.onInterrupt()}t.emit("plotly_animationinterrupted",[])}}(),"reverse"===r.direction&&y.reverse();var T=t._fullLayout._currentFrame;if(T&&r.fromcurrent){var k=-1;for(d=0;d<y.length;d++)if("byname"===(m=y[d]).type&&m.name===T){k=d;break}if(k>0&&k<y.length-1){var A=[];for(d=0;d<y.length;d++)m=y[d],("byname"!==y[d].type||d>k)&&A.push(m);y=A}}y.length>0?function(e){if(0!==e.length){for(var i=0;i<e.length;i++){var o;o="byname"===e[i].type?h.computeFrame(t,e[i].name):e[i].data;var f=l(i),d=s(i);d.duration=Math.min(d.duration,f.duration);var m={frame:o,name:e[i].name,frameOpts:f,transitionOpts:d};i===e.length-1&&(m.onComplete=c(a,2),m.onInterrupt=u),n._frameQueue.push(m)}"immediate"===r.mode&&(n._lastFrameAt=-1/0),n._animationRaf||p()}}(y):(t.emit("plotly_animated"),a())}))},r.addFrames=function(t,e,r){if(t=o.getGraphDiv(t),null==e)return Promise.resolve();if(!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t+". It's likely that you've failed to create a plot before adding frames. For more details, see https://plotly.com/javascript/animations/");var n,i,a,s,l=t._transitionData._frames,u=t._transitionData._frameHash;if(!Array.isArray(e))throw new Error("addFrames failure: frameList must be an Array of frame definitions"+e);var f=l.length+2*e.length,p=[],d={};for(n=e.length-1;n>=0;n--)if(o.isPlainObject(e[n])){var m=e[n].name,g=(u[m]||d[m]||{}).name,v=e[n].name,y=u[g]||d[g];g&&v&&"number"==typeof v&&y&&A<5&&(A++,o.warn('addFrames: overwriting frame "'+(u[g]||d[g]).name+'" with a frame whose name of type "number" also equates to "'+g+'". This is valid but may potentially lead to unexpected behavior since all plotly.js frame names are stored internally as strings.'),5===A&&o.warn("addFrames: This API call has yielded too many of these warnings. For the rest of this call, further warnings about numeric frame names will be suppressed.")),d[m]={name:m},p.push({frame:h.supplyFrameDefaults(e[n]),index:r&&void 0!==r[n]&&null!==r[n]?r[n]:f+n})}p.sort((function(t,e){return t.index>e.index?-1:t.index<e.index?1:0}));var x=[],b=[],_=l.length;for(n=p.length-1;n>=0;n--){if("number"==typeof(i=p[n].frame).name&&o.warn("Warning: addFrames accepts frames with numeric names, but the numbers areimplicitly cast to strings"),!i.name)for(;u[i.name="frame "+t._transitionData._counter++];);if(u[i.name]){for(a=0;a<l.length&&(l[a]||{}).name!==i.name;a++);x.push({type:"replace",index:a,value:i}),b.unshift({type:"replace",index:a,value:l[a]})}else s=Math.max(0,Math.min(p[n].index,_)),x.push({type:"insert",index:s,value:i}),b.unshift({type:"delete",index:s}),_++}var w=h.modifyFrames,T=h.modifyFrames,k=[t,b],M=[t,x];return c&&c.add(t,w,k,T,M),h.modifyFrames(t,x)},r.deleteFrames=function(t,e){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);var r,n,i=t._transitionData._frames,a=[],s=[];if(!e)for(e=[],r=0;r<i.length;r++)e.push(r);for((e=e.slice()).sort(),r=e.length-1;r>=0;r--)n=e[r],a.push({type:"delete",index:n}),s.unshift({type:"insert",index:n,value:i[n]});var l=h.modifyFrames,u=h.modifyFrames,f=[t,s],p=[t,a];return c&&c.add(t,l,f,u,p),h.modifyFrames(t,a)},r.addTraces=function t(e,n,i){e=o.getGraphDiv(e);var a,s,l=[],u=r.deleteTraces,f=t,h=[e,l],p=[e,n];for(function(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error("gd.data must be an array.");if(void 0===e)throw new Error("traces must be defined.");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if("object"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error("all values in traces array must be non-array objects");if(void 0===r||Array.isArray(r)||(r=[r]),void 0!==r&&r.length!==e.length)throw new Error("if indices is specified, traces.length must equal indices.length")}(e,n,i),Array.isArray(n)||(n=[n]),n=n.map((function(t){return o.extendFlat({},t)})),_.cleanData(n),a=0;a<n.length;a++)e.data.push(n[a]);for(a=0;a<n.length;a++)l.push(-n.length+a);if(void 0===i)return s=r.redraw(e),c.add(e,u,h,f,p),s;Array.isArray(i)||(i=[i]);try{I(e,l,i)}catch(t){throw e.data.splice(e.data.length-n.length,n.length),t}return c.startSequence(e),c.add(e,u,h,f,p),s=r.moveTraces(e,l,i),c.stopSequence(e),s},r.deleteTraces=function t(e,n){e=o.getGraphDiv(e);var i,a,s=[],l=r.addTraces,u=t,f=[e,s,n],h=[e,n];if(void 0===n)throw new Error("indices must be an integer or array of integers.");for(Array.isArray(n)||(n=[n]),P(e,n,"indices"),(n=C(n,e.data.length-1)).sort(o.sorterDes),i=0;i<n.length;i+=1)a=e.data.splice(n[i],1)[0],s.push(a);var p=r.redraw(e);return c.add(e,l,f,u,h),p},r.extendTraces=function t(e,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<0){var a=new t.constructor(0),s=z(t,e);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(l)),i.set(t),i.set(e.subarray(0,l),t.length)}else{var c=r-e.length,u=t.length-c;n.set(t.subarray(u)),n.set(e,c),i.set(t.subarray(0,u))}else n=t.concat(e),i=r>=0&&r<n.length?n.splice(0,n.length-r):[];return[n,i]}var l=O(e=o.getGraphDiv(e),n,i,a,s),u=r.redraw(e),f=[e,l.update,i,l.maxPoints];return c.add(e,r.prependTraces,f,t,arguments),u},r.moveTraces=function t(e,n,i){var a,s=[],l=[],u=t,f=t,h=[e=o.getGraphDiv(e),i,n],p=[e,n,i];if(I(e,n,i),n=Array.isArray(n)?n:[n],void 0===i)for(i=[],a=0;a<n.length;a++)i.push(-n.length+a);for(i=Array.isArray(i)?i:[i],n=C(n,e.data.length-1),i=C(i,e.data.length-1),a=0;a<e.data.length;a++)-1===n.indexOf(a)&&s.push(e.data[a]);for(a=0;a<n.length;a++)l.push({newIndex:i[a],trace:e.data[n[a]]});for(l.sort((function(t,e){return t.newIndex-e.newIndex})),a=0;a<l.length;a+=1)s.splice(l[a].newIndex,0,l[a].trace);e.data=s;var d=r.redraw(e);return c.add(e,u,h,f,p),d},r.prependTraces=function t(e,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=z(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var c=r-e.length;n.set(e),n.set(t.subarray(0,c),e.length),i.set(t.subarray(c))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]}var l=O(e=o.getGraphDiv(e),n,i,a,s),u=r.redraw(e),f=[e,l.update,i,l.maxPoints];return c.add(e,r.extendTraces,f,t,arguments),u},r.newPlot=function(t,e,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),r._doPlot(t,e,n,i)},r._doPlot=function(t,e,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(e)){var c=e;e=c.data,i=c.layout,a=c.config,s=c.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[e,i,a]))return Promise.reject();e||i||o.isPlotDiv(t)||o.warn("Calling _doPlot as if redrawing but this container doesn't yet have a plot.",t),L(t,a),i||(i={}),n.select(t).classed("js-plotly-plot",!0),d.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(e);Array.isArray(e)&&(_.cleanData(e),f?t.data=e:t.data.push.apply(t.data,e),t.empty=!1),t.layout&&!f||(t.layout=_.cleanLayout(i)),h.supplyDefaults(t);var m=t._fullLayout,y=m._has("cartesian");m._replotting=!0,(f||m._shouldCreateBgLayer)&&(!function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=at,r._calcInverseTransform(t),r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(v.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var a=r._paper.append("g").classed("layer-below",!0);r._imageLowerLayer=a.append("g").classed("imagelayer",!0),r._shapeLowerLayer=a.append("g").classed("shapelayer",!0),r._cartesianlayer=r._paper.append("g").classed("cartesianlayer",!0),r._polarlayer=r._paper.append("g").classed("polarlayer",!0),r._smithlayer=r._paper.append("g").classed("smithlayer",!0),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._geolayer=r._paper.append("g").classed("geolayer",!0),r._funnelarealayer=r._paper.append("g").classed("funnelarealayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._iciclelayer=r._paper.append("g").classed("iciclelayer",!0),r._treemaplayer=r._paper.append("g").classed("treemaplayer",!0),r._sunburstlayer=r._paper.append("g").classed("sunburstlayer",!0),r._indicatorlayer=r._toppaper.append("g").classed("indicatorlayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0);var s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}(t),m._shouldCreateBgLayer&&delete m._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&h.allowAutoMargin(t,"pie."+n.uid+".automargin")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod("rangeslider","calcAutorange")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var r=m._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!m._glcanvas&&m._has("gl")&&(m._glcanvas=m._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),m._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"}));var i=t._context.plotGlPixelRatio;if(m._glcanvas){m._glcanvas.attr("width",m.width*i).attr("height",m.height*i).style("width",m.width+"px").style("height",m.height+"px");var a=m._glcanvas.data()[0].regl;if(a&&(Math.floor(m.width*i)!==a._gl.drawingBufferWidth||Math.floor(m.height*i)!==a._gl.drawingBufferHeight)){var s="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!k)return o.log(s+" Clearing graph and plotting again."),h.cleanPlot([],{},t._fullData,m),h.supplyDefaults(t),m=t._fullLayout,h.doCalcdata(t),k++,e();o.error(s)}}return"h"===m.modebar.orientation?m._modebardiv.style("height",null).style("width","100%"):m._modebardiv.style("width",null).style("height",m.height+"px"),h.previousPromises(t)},A,function(){if(h.didMarginChange(T,m._size))return o.syncOrAsync([A,w.layoutStyles],t)}];y&&E.push((function(){if(x)return o.syncOrAsync([u.getComponentMethod("shapes","calcAutorange"),u.getComponentMethod("annotations","calcAutorange"),S],t);S()})),E.push(w.layoutStyles),y&&E.push((function(){return p.draw(t,f?"":"redraw")}),(function(t){t._fullLayout._insideTickLabelsAutorange&&U(t,t._fullLayout._insideTickLabelsAutorange).then((function(){t._fullLayout._insideTickLabelsAutorange=void 0}))})),E.push(w.drawData,w.finalDraw,g,h.addLinks,h.rehover,h.redrag,h.doAutoMargin,(function(t){t._fullLayout._insideTickLabelsAutorange&&f&&p.saveRangeInitial(t,!0)}),h.previousPromises);var C=o.syncOrAsync(E,t);return C&&C.then||(C=Promise.resolve()),C.then((function(){return M(t),t}))},r.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return h.cleanPlot([],{},r,e),h.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},r.react=function(t,e,n,i){var a,l;t=o.getGraphDiv(t),_.clearPromiseQueue(t);var c=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&c&&p){if(o.isPlainObject(e)){var d=e;e=d.data,n=d.layout,i=d.config,a=d.frames}var m=!1;if(i){var g=o.extendDeep({},t._context);t._context=void 0,L(t,i),m=function t(e,r){var n;for(n in e)if("_"!==n.charAt(0)){var i=e[n],a=r[n];if(i!==a)if(o.isPlainObject(i)&&o.isPlainObject(a)){if(t(i,a))return!0}else{if(!Array.isArray(i)||!Array.isArray(a))return!0;if(i.length!==a.length)return!0;for(var s=0;s<i.length;s++)if(i[s]!==a[s]){if(!o.isPlainObject(i[s])||!o.isPlainObject(a[s]))return!0;if(t(i[s],a[s]))return!0}}}}(g,t._context)}t.data=e||[],_.cleanData(t.data),t.layout=n||{},_.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,c,u,f,h,p,d,m,g=n._preGUI,v=[],y={},x={};for(i in g){if(u=$(i,K)){if(d=u.head,m=u.tail,a=u.attr||d+".uirevision",(c=(l=s(n,a).get())&&tt(a,e))&&c===l){if(null===(f=g[i])&&(f=void 0),nt(p=(h=s(e,i)).get(),f)){void 0===p&&"autorange"===m&&v.push(d),h.set(R(s(n,i).get()));continue}if("autorange"===m||"range["===m.substr(0,6)){var b=g[d+".range[0]"],_=g[d+".range[1]"],w=g[d+".autorange"];if(w||null===w&&null===b&&null===_){if(!(d in y)){var T=s(e,d).get();y[d]=T&&(T.autorange||!1!==T.autorange&&(!T.range||2!==T.range.length))}if(y[d]){h.set(R(s(n,i).get()));continue}}}}}else o.warn("unrecognized GUI edit: "+i);delete g[i],u&&"range["===u.tail.substr(0,6)&&(x[u.head]=1)}for(var k=0;k<v.length;k++){var A=v[k];if(x[A]){var M=s(e,A).get();M&&delete M.autorange}}var S=n._tracePreGUI;for(var E in S){var L,C=S[E],P=null;for(i in C){if(!P){var I=et(E,r);if(I<0){delete S[E];break}var O=rt(E,t,(L=r[I]._fullInput).index);if(O<0){delete S[E];break}P=t[O]}if(u=$(i,Q)){if(u.attr?c=(l=s(n,u.attr).get())&&tt(u.attr,e):(l=L.uirevision,void 0===(c=P.uirevision)&&(c=e.uirevision)),c&&c===l&&(null===(f=C[i])&&(f=void 0),nt(p=(h=s(P,i)).get(),f))){h.set(R(s(L,i).get()));continue}}else o.warn("unrecognized GUI edit: "+i+" in trace uid "+E);delete C[i]}}}(t.data,t.layout,c,p),h.supplyDefaults(t,{skipUpdateCalc:!0});var v=t._fullData,y=t._fullLayout,x=void 0===y.datarevision,b=y.transition,k=function(t,e,r,n,i){var a=T.layoutFlags();function o(t){return f.getLayoutValObject(r,t)}a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,it(e,r,[],{getValObject:o,flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0);i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some");return a}(t,p,y,x,b),A=k.newDataRevision,S=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,c=T.traceFlags();c.arrays={},c.nChanges=0,c.nChangesAnim=0;var u={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:c,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],u)}(c.calc||c.plot)&&(c.fullReplot=!0);i&&c.nChanges&&c.nChangesAnim&&(c.anim=c.nChanges===c.nChangesAnim&&o?"all":"some");return c}(t,c,v,x,b,A);if(X(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(y),C=0;C<E.length;C++){var P=E[C],I=P.substring(0,5);if("xaxis"===I||"yaxis"===I){var O=y[P]._emptyCategories;O&&O()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,v);var z=[];if(a&&(t._transitionData={},h.createTransitionData(t),z.push((function(){return r.addFrames(t,a)}))),y.transition&&!m&&(S.anim||k.anim))k.ticks&&z.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),z.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||m)t._fullLayout._skipDefaults=!0,z.push(r._doPlot);else{for(var D in k.arrays){var F=k.arrays[D];if(F.length){var B=u.getComponentMethod(D,"drawOne");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=u.getComponentMethod(D,"draw");if(j===o.noop)throw new Error("cannot draw components: "+D);j(t)}}}z.push(h.previousPromises),S.style&&z.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&z.push(w.doColorBars),k.legend&&z.push(w.doLegend),k.layoutstyle&&z.push(w.layoutStyles),k.axrange&&H(z),k.ticks&&z.push(w.doTicksRelayout),k.modebar&&z.push(w.doModeBar),k.camera&&z.push(w.doCamera),z.push(M)}z.push(h.rehover,h.redrag),(l=o.syncOrAsync(z,t))&&l.then||(l=Promise.resolve(t))}else l=r.newPlot(t,e,n,i);return l.then((function(){return t.emit("plotly_react",{data:e,layout:n}),t}))},r.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return _.cleanData(t.data),_.cleanLayout(t.layout),t.calcdata=void 0,r._doPlot(t).then((function(){return t.emit("plotly_redraw"),t}))},r.relayout=U,r.restyle=D,r.setPlotConfig=function(t){return o.extendFlat(x,t)},r.update=Z,r._guiRelayout=J(U),r._guiRestyle=J(D),r._guiUpdate=J(Z),r._storeDirectGUIEdit=function(t,e,r){for(var n in r){B(n,s(t,n).get(),r[n],e)}}},{"../components/color":361,"../components/drawing":383,"../constants/xmlns_namespaces":475,"../lib":498,"../lib/events":487,"../lib/queue":514,"../plots/cartesian/axes":549,"../plots/cartesian/constants":556,"../plots/cartesian/graph_interact":559,"../plots/cartesian/select":570,"../plots/plots":614,"../registry":633,"./edit_types":531,"./helpers":532,"./manage_arrays":534,"./plot_config":536,"./plot_schema":537,"./subroutines":539,"@plotly/d3":58,"fast-isnumeric":185,"has-hover":223}],536:[function(t,e,r){"use strict";var n={staticPlot:{valType:"boolean",dflt:!1},typesetMath:{valType:"boolean",dflt:!0},plotlyServerURL:{valType:"string",dflt:""},editable:{valType:"boolean",dflt:!1},edits:{annotationPosition:{valType:"boolean",dflt:!1},annotationTail:{valType:"boolean",dflt:!1},annotationText:{valType:"boolean",dflt:!1},axisTitleText:{valType:"boolean",dflt:!1},colorbarPosition:{valType:"boolean",dflt:!1},colorbarTitleText:{valType:"boolean",dflt:!1},legendPosition:{valType:"boolean",dflt:!1},legendText:{valType:"boolean",dflt:!1},shapePosition:{valType:"boolean",dflt:!1},titleText:{valType:"boolean",dflt:!1}},autosizable:{valType:"boolean",dflt:!1},responsive:{valType:"boolean",dflt:!1},fillFrame:{valType:"boolean",dflt:!1},frameMargins:{valType:"number",dflt:0,min:0,max:.5},scrollZoom:{valType:"flaglist",flags:["cartesian","gl3d","geo","mapbox"],extras:[!0,!1],dflt:"gl3d+geo+mapbox"},doubleClick:{valType:"enumerated",values:[!1,"reset","autosize","reset+autosize"],dflt:"reset+autosize"},doubleClickDelay:{valType:"number",dflt:300,min:0},showAxisDragHandles:{valType:"boolean",dflt:!0},showAxisRangeEntryBoxes:{valType:"boolean",dflt:!0},showTips:{valType:"boolean",dflt:!0},showLink:{valType:"boolean",dflt:!1},linkText:{valType:"string",dflt:"Edit chart",noBlank:!0},sendData:{valType:"boolean",dflt:!0},showSources:{valType:"any",dflt:!1},displayModeBar:{valType:"enumerated",values:["hover",!0,!1],dflt:"hover"},showSendToCloud:{valType:"boolean",dflt:!1},showEditInChartStudio:{valType:"boolean",dflt:!1},modeBarButtonsToRemove:{valType:"any",dflt:[]},modeBarButtonsToAdd:{valType:"any",dflt:[]},modeBarButtons:{valType:"any",dflt:!1},toImageButtonOptions:{valType:"any",dflt:{}},displaylogo:{valType:"boolean",dflt:!0},watermark:{valType:"boolean",dflt:!1},plotGlPixelRatio:{valType:"number",dflt:2,min:1,max:4},setBackground:{valType:"any",dflt:"transparent"},topojsonURL:{valType:"string",noBlank:!0,dflt:"https://cdn.plot.ly/"},mapboxAccessToken:{valType:"string",dflt:null},logging:{valType:"integer",min:0,max:2,dflt:1},notifyOnLogging:{valType:"integer",min:0,max:2,dflt:0},queueLength:{valType:"integer",min:0,dflt:0},globalTransforms:{valType:"any",dflt:[]},locale:{valType:"string",dflt:"en-US"},locales:{valType:"any",dflt:{}}},i={};!function t(e,r){for(var n in e){var i=e[n];i.valType?r[n]=i.dflt:(r[n]||(r[n]={}),t(i,r[n]))}}(n,i),e.exports={configAttributes:n,dfltConfig:i}},{}],537:[function(t,e,r){"use strict";var n=t("../registry"),i=t("../lib"),a=t("../plots/attributes"),o=t("../plots/layout_attributes"),s=t("../plots/frame_attributes"),l=t("../plots/animation_attributes"),c=t("./plot_config").configAttributes,u=t("./edit_types"),f=i.extendDeepAll,h=i.isPlainObject,p=i.isArrayOrTypedArray,d=i.nestedProperty,m=i.valObjectMeta,g=["_isSubplotObj","_isLinkedToArray","_arrayAttrRegexps","_deprecated"];function v(t,e,r){if(!t)return!1;if(t._isLinkedToArray)if(y(e[r]))r++;else if(r<e.length)return!1;for(;r<e.length;r++){var n=t[e[r]];if(!h(n))break;if(t=n,r===e.length-1)break;if(t._isLinkedToArray){if(!y(e[++r]))return!1}else if("info_array"===t.valType){var i=e[++r];if(!y(i))return!1;var a=t.items;if(Array.isArray(a)){if(i>=a.length)return!1;if(2===t.dimensions){if(r++,e.length===r)return t;var o=e[r];if(!y(o))return!1;t=a[i][o]}else t=a[i]}else t=a}}return t}function y(t){return t===Math.round(t)&&t>=0}function x(){var t,e,r={};for(t in f(r,o),n.subplotsRegistry){if((e=n.subplotsRegistry[t]).layoutAttributes)if(Array.isArray(e.attr))for(var i=0;i<e.attr.length;i++)w(r,e,e.attr[i]);else w(r,e,"subplot"===e.attr?e.name:e.attr)}for(t in n.componentsRegistry){var a=(e=n.componentsRegistry[t]).schema;if(a&&(a.subplots||a.layout)){var s=a.subplots;if(s&&s.xaxis&&!s.yaxis)for(var l in s.xaxis)delete r.yaxis[l]}else"colorscale"===e.name?f(r,e.layoutAttributes):e.layoutAttributes&&T(r,e.layoutAttributes,e.name)}return{layoutAttributes:_(r)}}function b(){var t={frames:f({},s)};return _(t),t.frames}function _(t){return function(t){r.crawl(t,(function(t,e,n){r.isValObject(t)?!0!==t.arrayOk&&"data_array"!==t.valType||(n[e+"src"]={valType:"string",editType:"none"}):h(t)&&(t.role="object")}))}(t),function(t){r.crawl(t,(function(t,e,r){if(t){var n=t._isLinkedToArray;n&&(delete t._isLinkedToArray,r[e]={items:{}},r[e].items[n]=t,r[e].role="object")}}))}(t),function(t){!function t(e){for(var r in e)if(h(e[r]))t(e[r]);else if(Array.isArray(e[r]))for(var n=0;n<e[r].length;n++)t(e[r][n]);else e[r]instanceof RegExp&&(e[r]=e[r].toString())}(t)}(t),t}function w(t,e,r){var n=d(t,r),i=f({},e.layoutAttributes);i._isSubplotObj=!0,n.set(i)}function T(t,e,r){var n=d(t,r);n.set(f(n.get()||{},e))}r.IS_SUBPLOT_OBJ="_isSubplotObj",r.IS_LINKED_TO_ARRAY="_isLinkedToArray",r.DEPRECATED="_deprecated",r.UNDERSCORE_ATTRS=g,r.get=function(){var t={};n.allTypes.forEach((function(e){t[e]=function(t){var e,i;e=n.modules[t]._module,i=e.basePlotModule;var o={type:null},s=f({},a),l=f({},e.attributes);r.crawl(l,(function(t,e,r,n,i){d(s,i).set(void 0),void 0===t&&d(l,i).set(void 0)})),f(o,s),n.traceIs(t,"noOpacity")&&delete o.opacity;n.traceIs(t,"showLegend")||(delete o.showlegend,delete o.legendgroup);n.traceIs(t,"noHover")&&(delete o.hoverinfo,delete o.hoverlabel);e.selectPoints||delete o.selectedpoints;f(o,l),i.attributes&&f(o,i.attributes);o.type=t;var c={meta:e.meta||{},categories:e.categories||{},animatable:Boolean(e.animatable),type:t,attributes:_(o)};if(e.layoutAttributes){var u={};f(u,e.layoutAttributes),c.layoutAttributes=_(u)}e.animatable||r.crawl(c,(function(t){r.isValObject(t)&&"anim"in t&&delete t.anim}));return c}(e)}));var e={};return Object.keys(n.transformsRegistry).forEach((function(t){e[t]=function(t){var e=n.transformsRegistry[t],r=f({},e.attributes);return Object.keys(n.componentsRegistry).forEach((function(e){var i=n.componentsRegistry[e];i.schema&&i.schema.transforms&&i.schema.transforms[t]&&Object.keys(i.schema.transforms[t]).forEach((function(e){T(r,i.schema.transforms[t][e],e)}))})),{attributes:_(r)}}(t)})),{defs:{valObjects:m,metaKeys:g.concat(["description","role","editType","impliedEdits"]),editType:{traces:u.traces,layout:u.layout},impliedEdits:{}},traces:t,layout:x(),transforms:e,frames:b(),animation:_(l),config:_(c)}},r.crawl=function(t,e,n,i){var a=n||0;i=i||"",Object.keys(t).forEach((function(n){var o=t[n];if(-1===g.indexOf(n)){var s=(i?i+".":"")+n;e(o,n,t,a,s),r.isValObject(o)||h(o)&&"impliedEdits"!==n&&r.crawl(o,e,a+1,s)}}))},r.isValObject=function(t){return t&&void 0!==t.valType},r.findArrayAttributes=function(t){var e,n,i=[],o=[],s=[];function l(t,r,a,l){o=o.slice(0,l).concat([r]),s=s.slice(0,l).concat([t&&t._isLinkedToArray]),t&&("data_array"===t.valType||!0===t.arrayOk)&&!("colorbar"===o[l-1]&&("ticktext"===r||"tickvals"===r))&&function t(e,r,a){var l=e[o[r]],c=a+o[r];if(r===o.length-1)p(l)&&i.push(n+c);else if(s[r]){if(Array.isArray(l))for(var u=0;u<l.length;u++)h(l[u])&&t(l[u],r+1,c+"["+u+"].")}else h(l)&&t(l,r+1,c+".")}(e,0,"")}e=t,n="",r.crawl(a,l),t._module&&t._module.attributes&&r.crawl(t._module.attributes,l);var c=t.transforms;if(c)for(var u=0;u<c.length;u++){var f=c[u],d=f._module;d&&(n="transforms["+u+"].",e=f,r.crawl(d.attributes,l))}return i},r.getTraceValObject=function(t,e){var r,i,o=e[0],s=1;if("transforms"===o){if(1===e.length)return a.transforms;var l=t.transforms;if(!Array.isArray(l)||!l.length)return!1;var c=e[1];if(!y(c)||c>=l.length)return!1;i=(r=(n.transformsRegistry[l[c].type]||{}).attributes)&&r[e[2]],s=3}else{var u=t._module;if(u||(u=(n.modules[t.type||a.type.dflt]||{})._module),!u)return!1;if(!(i=(r=u.attributes)&&r[o])){var f=u.basePlotModule;f&&f.attributes&&(i=f.attributes[o])}i||(i=a[o])}return v(i,e,s)},r.getLayoutValObject=function(t,e){return v(function(t,e){var r,i,a,s,l=t._basePlotModules;if(l){var c;for(r=0;r<l.length;r++){if((a=l[r]).attrRegex&&a.attrRegex.test(e)){if(a.layoutAttrOverrides)return a.layoutAttrOverrides;!c&&a.layoutAttributes&&(c=a.layoutAttributes)}var u=a.baseLayoutAttrOverrides;if(u&&e in u)return u[e]}if(c)return c}var f=t._modules;if(f)for(r=0;r<f.length;r++)if((s=f[r].layoutAttributes)&&e in s)return s[e];for(i in n.componentsRegistry){if("colorscale"===(a=n.componentsRegistry[i]).name&&0===e.indexOf("coloraxis"))return a.layoutAttributes[e];if(!a.schema&&e===a.name)return a.layoutAttributes}return e in o&&o[e]}(t,e[0]),e,1)}},{"../lib":498,"../plots/animation_attributes":543,"../plots/attributes":545,"../plots/frame_attributes":581,"../plots/layout_attributes":605,"../registry":633,"./edit_types":531,"./plot_config":536}],538:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plots/attributes"),a={name:{valType:"string",editType:"none"}};function o(t){return t&&"string"==typeof t}function s(t){var e=t.length-1;return"s"!==t.charAt(e)&&n.warn("bad argument to arrayDefaultKey: "+t),t.substr(0,t.length-1)+"defaults"}a.templateitemname={valType:"string",editType:"calc"},r.templatedArray=function(t,e){return e._isLinkedToArray=t,e.name=a.name,e.templateitemname=a.templateitemname,e},r.traceTemplater=function(t){var e,r,a={};for(e in t)r=t[e],Array.isArray(r)&&r.length&&(a[e]=0);return{newTrace:function(o){var s={type:e=n.coerce(o,{},i,"type"),_template:null};if(e in a){r=t[e];var l=a[e]%r.length;a[e]++,s._template=r[l]}return s}}},r.newContainer=function(t,e,r){var i=t._template,a=i&&(i[e]||r&&i[r]);return n.isPlainObject(a)||(a=null),t[e]={_template:a}},r.arrayTemplater=function(t,e,r){var n=t._template,i=n&&n[s(e)],a=n&&n[e];Array.isArray(a)&&a.length||(a=[]);var l={};return{newItem:function(t){var e={name:t.name,_input:t},n=e.templateitemname=t.templateitemname;if(!o(n))return e._template=i,e;for(var s=0;s<a.length;s++){var c=a[s];if(c.name===n)return l[n]=1,e._template=c,e}return e[r]=t[r]||!1,e._template=!1,e},defaultItems:function(){for(var t=[],e=0;e<a.length;e++){var r=a[e],n=r.name;if(o(n)&&!l[n]){var i={_template:r,name:n,_input:{_templateitemname:n}};i.templateitemname=r.templateitemname,t.push(i),l[n]=1}}return t}}},r.arrayDefaultKey=s,r.arrayEditor=function(t,e,r){var i=(n.nestedProperty(t,e).get()||[]).length,a=r._index,o=a>=i&&(r._input||{})._templateitemname;o&&(a=i);var s,l=e+"["+a+"]";function c(){s={},o&&(s[l]={},s[l].templateitemname=o)}function u(t,e){o?n.nestedProperty(s[l],t).set(e):s[l+"."+t]=e}function f(){var t=s;return c(),t}return c(),{modifyBase:function(t,e){s[t]=e},modifyItem:u,getUpdateObj:f,applyUpdate:function(e,r){e&&u(e,r);var i=f();for(var a in i)n.nestedProperty(t,a).set(i[a])}}}},{"../lib":498,"../plots/attributes":545}],539:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../registry"),a=t("../plots/plots"),o=t("../lib"),s=t("../lib/clear_gl_canvases"),l=t("../components/color"),c=t("../components/drawing"),u=t("../components/titles"),f=t("../components/modebar"),h=t("../plots/cartesian/axes"),p=t("../constants/alignment"),d=t("../plots/cartesian/constraints"),m=d.enforce,g=d.clean,v=t("../plots/cartesian/autorange").doAutoRange;function y(t,e,r){for(var n=0;n<r.length;n++){var i=r[n][0],a=r[n][1];if(!(i[0]>=t[1]||i[1]<=t[0])&&(a[0]<e[1]&&a[1]>e[0]))return!0}return!1}function x(t){var e,i,s,u,d,m,g=t._fullLayout,v=g._size,x=v.p,_=h.list(t,"",!0);if(g._paperdiv.style({width:t._context.responsive&&g.autosize&&!t._context._hasZeroWidth&&!t.layout.width?"100%":g.width+"px",height:t._context.responsive&&g.autosize&&!t._context._hasZeroHeight&&!t.layout.height?"100%":g.height+"px"}).selectAll(".main-svg").call(c.setSize,g.width,g.height),t._context.setBackground(t,g.paper_bgcolor),r.drawMainTitle(t),f.manage(t),!g._has("cartesian"))return a.previousPromises(t);function T(t,e,r){var n=t._lw/2;return"x"===t._id.charAt(0)?e?"top"===r?e._offset-x-n:e._offset+e._length+x+n:v.t+v.h*(1-(t.position||0))+n%1:e?"right"===r?e._offset+e._length+x+n:e._offset-x-n:v.l+v.w*(t.position||0)+n%1}for(e=0;e<_.length;e++){var k=(u=_[e])._anchorAxis;u._linepositions={},u._lw=c.crispRound(t,u.linewidth,1),u._mainLinePosition=T(u,k,u.side),u._mainMirrorPosition=u.mirror&&k?T(u,k,p.OPPOSITE_SIDE[u.side]):null}var A=[],M=[],S=[],E=1===l.opacity(g.paper_bgcolor)&&1===l.opacity(g.plot_bgcolor)&&g.paper_bgcolor===g.plot_bgcolor;for(i in g._plots)if((s=g._plots[i]).mainplot)s.bg&&s.bg.remove(),s.bg=void 0;else{var L=s.xaxis.domain,C=s.yaxis.domain,P=s.plotgroup;if(y(L,C,S)){var I=P.node(),O=s.bg=o.ensureSingle(P,"rect","bg");I.insertBefore(O.node(),I.childNodes[0]),M.push(i)}else P.select("rect.bg").remove(),S.push([L,C]),E||(A.push(i),M.push(i))}var z,D,R,F,B,N,j,U,V,H,q,G,Y,W=g._bgLayer.selectAll(".bg").data(A);for(W.enter().append("rect").classed("bg",!0),W.exit().remove(),W.each((function(t){g._plots[t].bg=n.select(this)})),e=0;e<M.length;e++)s=g._plots[M[e]],d=s.xaxis,m=s.yaxis,s.bg&&void 0!==d._offset&&void 0!==m._offset&&s.bg.call(c.setRect,d._offset-x,m._offset-x,d._length+2*x,m._length+2*x).call(l.fill,g.plot_bgcolor).style("stroke-width",0);if(!g._hasOnlyLargeSploms)for(i in g._plots){s=g._plots[i],d=s.xaxis,m=s.yaxis;var X,Z,J=s.clipId="clip"+g._uid+i+"plot",K=o.ensureSingleById(g._clips,"clipPath",J,(function(t){t.classed("plotclip",!0).append("rect")}));s.clipRect=K.select("rect").attr({width:d._length,height:m._length}),c.setTranslate(s.plot,d._offset,m._offset),s._hasClipOnAxisFalse?(X=null,Z=J):(X=J,Z=null),c.setClipUrl(s.plot,X,t),s.layerClipId=Z}function Q(t){return"M"+z+","+t+"H"+D}function $(t){return"M"+d._offset+","+t+"h"+d._length}function tt(t){return"M"+t+","+U+"V"+j}function et(t){return"M"+t+","+m._offset+"v"+m._length}function rt(t,e,r){if(!t.showline||i!==t._mainSubplot)return"";if(!t._anchorAxis)return r(t._mainLinePosition);var n=e(t._mainLinePosition);return t.mirror&&(n+=e(t._mainMirrorPosition)),n}for(i in g._plots){s=g._plots[i],d=s.xaxis,m=s.yaxis;var nt="M0,0";b(d,i)&&(B=w(d,"left",m,_),z=d._offset-(B?x+B:0),N=w(d,"right",m,_),D=d._offset+d._length+(N?x+N:0),R=T(d,m,"bottom"),F=T(d,m,"top"),!(Y=!d._anchorAxis||i!==d._mainSubplot)||"allticks"!==d.mirror&&"all"!==d.mirror||(d._linepositions[i]=[R,F]),nt=rt(d,Q,$),Y&&d.showline&&("all"===d.mirror||"allticks"===d.mirror)&&(nt+=Q(R)+Q(F)),s.xlines.style("stroke-width",d._lw+"px").call(l.stroke,d.showline?d.linecolor:"rgba(0,0,0,0)")),s.xlines.attr("d",nt);var it="M0,0";b(m,i)&&(q=w(m,"bottom",d,_),j=m._offset+m._length+(q?x:0),G=w(m,"top",d,_),U=m._offset-(G?x:0),V=T(m,d,"left"),H=T(m,d,"right"),!(Y=!m._anchorAxis||i!==m._mainSubplot)||"allticks"!==m.mirror&&"all"!==m.mirror||(m._linepositions[i]=[V,H]),it=rt(m,tt,et),Y&&m.showline&&("all"===m.mirror||"allticks"===m.mirror)&&(it+=tt(V)+tt(H)),s.ylines.style("stroke-width",m._lw+"px").call(l.stroke,m.showline?m.linecolor:"rgba(0,0,0,0)")),s.ylines.attr("d",it)}return h.makeClipPaths(t),a.previousPromises(t)}function b(t,e){return(t.ticks||t.showline)&&(e===t._mainSubplot||"all"===t.mirror||"allticks"===t.mirror)}function _(t,e,r){if(!r.showline||!r._lw)return!1;if("all"===r.mirror||"allticks"===r.mirror)return!0;var n=r._anchorAxis;if(!n)return!1;var i=p.FROM_BL[e];return r.side===e?n.domain[i]===t.domain[i]:r.mirror&&n.domain[1-i]===t.domain[1-i]}function w(t,e,r,n){if(_(t,e,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&_(t,e,a))return a._lw}return 0}function T(t,e){var r=t.title,n=t._size,i=0;switch("start"===e?i=r.pad.l:"end"===e&&(i=-r.pad.r),r.xref){case"paper":return n.l+n.w*r.x+i;case"container":default:return t.width*r.x+i}}function k(t,e){var r=t.title,n=t._size,i=0;if("0em"!==e&&e?e===p.CAP_SHIFT+"em"&&(i=r.pad.t):i=-r.pad.b,"auto"===r.y)return n.t/2;switch(r.yref){case"paper":return n.t+n.h-n.h*r.y+i;case"container":default:return t.height-t.height*r.y+i}}r.layoutStyles=function(t){return o.syncOrAsync([a.doAutoMargin,x],t)},r.drawMainTitle=function(t){var e=t._fullLayout,r=function(t){var e=t.title,r="middle";o.isRightAnchor(e)?r="end":o.isLeftAnchor(e)&&(r="start");return r}(e),n=function(t){var e=t.title,r="0em";o.isTopAnchor(e)?r=p.CAP_SHIFT+"em":o.isMiddleAnchor(e)&&(r=p.MID_SHIFT+"em");return r}(e);u.draw(t,"gtitle",{propContainer:e,propName:"title.text",placeholder:e._dfltTitle.plot,attributes:{x:T(e,r),y:k(e,n),"text-anchor":r,dy:n}})},r.doTraceStyle=function(t){var e,n=t.calcdata,o=[];for(e=0;e<n.length;e++){var l=n[e],c=l[0]||{},u=c.trace||{},f=u._module||{},h=f.arraysToCalcdata;h&&h(l,u);var p=f.editStyle;p&&o.push({fn:p,cd0:c})}if(o.length){for(e=0;e<o.length;e++){var d=o[e];d.fn(t,d.cd0)}s(t),r.redrawReglTraces(t)}return a.style(t),i.getComponentMethod("legend","draw")(t),a.previousPromises(t)},r.doColorBars=function(t){return i.getComponentMethod("colorbar","draw")(t),a.previousPromises(t)},r.layoutReplot=function(t){var e=t.layout;return t.layout=void 0,i.call("_doPlot",t,"",e)},r.doLegend=function(t){return i.getComponentMethod("legend","draw")(t),a.previousPromises(t)},r.doTicksRelayout=function(t){return h.draw(t,"redraw"),t._fullLayout._hasOnlyLargeSploms&&(i.subplotsRegistry.splom.updateGrid(t),s(t),r.redrawReglTraces(t)),r.drawMainTitle(t),a.previousPromises(t)},r.doModeBar=function(t){var e=t._fullLayout;f.manage(t);for(var r=0;r<e._basePlotModules.length;r++){var n=e._basePlotModules[r].updateFx;n&&n(t)}return a.previousPromises(t)},r.doCamera=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){var i=e[r[n]];i._scene.setViewport(i)}},r.drawData=function(t){var e=t._fullLayout;s(t);for(var n=e._basePlotModules,o=0;o<n.length;o++)n[o].plot(t);return r.redrawReglTraces(t),a.style(t),i.getComponentMethod("shapes","draw")(t),i.getComponentMethod("annotations","draw")(t),i.getComponentMethod("images","draw")(t),e._replotting=!1,a.previousPromises(t)},r.redrawReglTraces=function(t){var e=t._fullLayout;if(e._has("regl")){var r,n,i=t._fullData,a=[],s=[];for(e._hasOnlyLargeSploms&&e._splomGrid.draw(),r=0;r<i.length;r++){var l=i[r];!0===l.visible&&0!==l._length&&("splom"===l.type?e._splomScenes[l.uid].draw():"scattergl"===l.type?o.pushUnique(a,l.xaxis+l.yaxis):"scatterpolargl"===l.type&&o.pushUnique(s,l.subplot))}for(r=0;r<a.length;r++)(n=e._plots[a[r]])._scene&&n._scene.draw();for(r=0;r<s.length;r++)(n=e[s[r]]._subplot)._scene&&n._scene.draw()}},r.doAutoRangeAndConstraints=function(t){for(var e,r=h.list(t,"",!0),n={},i=0;i<r.length;i++)if(!n[(e=r[i])._id]){n[e._id]=1,g(t,e),v(t,e);var a=e._matchGroup;if(a)for(var o in a){var s=h.getFromId(t,o);v(t,s,e.range),n[o]=1}}m(t)},r.finalDraw=function(t){i.getComponentMethod("rangeslider","draw")(t),i.getComponentMethod("rangeselector","draw")(t)},r.drawMarginPushers=function(t){i.getComponentMethod("legend","draw")(t),i.getComponentMethod("rangeselector","draw")(t),i.getComponentMethod("sliders","draw")(t),i.getComponentMethod("updatemenus","draw")(t),i.getComponentMethod("colorbar","draw")(t)}},{"../components/color":361,"../components/drawing":383,"../components/modebar":424,"../components/titles":459,"../constants/alignment":466,"../lib":498,"../lib/clear_gl_canvases":482,"../plots/cartesian/autorange":548,"../plots/cartesian/axes":549,"../plots/cartesian/constraints":557,"../plots/plots":614,"../registry":633,"@plotly/d3":58}],540:[function(t,e,r){"use strict";var n=t("../lib"),i=n.isPlainObject,a=t("./plot_schema"),o=t("../plots/plots"),s=t("../plots/attributes"),l=t("./plot_template"),c=t("./plot_config").dfltConfig;function u(t,e){t=n.extendDeep({},t);var r,a,o=Object.keys(t).sort();function s(e,r,n){if(i(r)&&i(e))u(e,r);else if(Array.isArray(r)&&Array.isArray(e)){var o=l.arrayTemplater({_template:t},n);for(a=0;a<r.length;a++){var s=r[a],c=o.newItem(s)._template;c&&u(c,s)}var f=o.defaultItems();for(a=0;a<f.length;a++)r.push(f[a]._template);for(a=0;a<r.length;a++)delete r[a].templateitemname}}for(r=0;r<o.length;r++){var c=o[r],h=t[c];if(c in e?s(h,e[c],c):e[c]=h,f(c)===c)for(var p in e){var d=f(p);p===d||d!==c||p in t||s(h,e[p],c)}}}function f(t){return t.replace(/[0-9]+$/,"")}function h(t,e,r,a,o){var s=o&&r(o);for(var c in t){var u=t[c],p=m(t,c,a),d=m(t,c,o),g=r(d);if(!g){var v=f(c);v!==c&&(g=r(d=m(t,v,o)))}if((!s||s!==g)&&!(!g||g._noTemplating||"data_array"===g.valType||g.arrayOk&&Array.isArray(u)))if(!g.valType&&i(u))h(u,e,r,p,d);else if(g._isLinkedToArray&&Array.isArray(u))for(var y=!1,x=0,b={},_=0;_<u.length;_++){var w=u[_];if(i(w)){var T=w.name;if(T)b[T]||(h(w,e,r,m(u,x,p),m(u,x,d)),x++,b[T]=1);else if(!y){var k=m(t,l.arrayDefaultKey(c),a),A=m(u,x,p);h(w,e,r,A,m(u,x,d));var M=n.nestedProperty(e,A);n.nestedProperty(e,k).set(M.get()),M.set(null),y=!0}}}else{n.nestedProperty(e,p).set(u)}}}function p(t,e){return a.getLayoutValObject(t,n.nestedProperty({},e).parts)}function d(t,e){return a.getTraceValObject(t,n.nestedProperty({},e).parts)}function m(t,e,r){return r?Array.isArray(t)?r+"["+e+"]":r+"."+e:e}function g(t){for(var e=0;e<t.length;e++)if(i(t[e]))return!0}function v(t){var e;switch(t.code){case"data":e="The template has no key data.";break;case"layout":e="The template has no key layout.";break;case"missing":e=t.path?"There are no templates for item "+t.path+" with name "+t.templateitemname:"There are no templates for trace "+t.index+", of type "+t.traceType+".";break;case"unused":e=t.path?"The template item at "+t.path+" was not used in constructing the plot.":t.dataCount?"Some of the templates of type "+t.traceType+" were not used. The template has "+t.templateCount+" traces, the data only has "+t.dataCount+" of this type.":"The template has "+t.templateCount+" traces of type "+t.traceType+" but there are none in the data.";break;case"reused":e="Some of the templates of type "+t.traceType+" were used more than once. The template has "+t.templateCount+" traces, the data has "+t.dataCount+" of this type."}return t.msg=e,t}r.makeTemplate=function(t){t=n.isPlainObject(t)?t:n.getGraphDiv(t),t=n.extendDeep({_context:c},{data:t.data,layout:t.layout}),o.supplyDefaults(t);var e=t.data||[],r=t.layout||{};r._basePlotModules=t._fullLayout._basePlotModules,r._modules=t._fullLayout._modules;var a={data:{},layout:{}};e.forEach((function(t){var e={};h(t,e,d.bind(null,t));var r=n.coerce(t,{},s,"type"),i=a.data[r];i||(i=a.data[r]=[]),i.push(e)})),h(r,a.layout,p.bind(null,r)),delete a.layout.template;var l=r.template;if(i(l)){var f,m,g,v,y,x,b=l.layout;i(b)&&u(b,a.layout);var _=l.data;if(i(_)){for(m in a.data)if(g=_[m],Array.isArray(g)){for(x=(y=a.data[m]).length,v=g.length,f=0;f<x;f++)u(g[f%v],y[f]);for(f=x;f<v;f++)y.push(n.extendDeep({},g[f]))}for(m in _)m in a.data||(a.data[m]=n.extendDeep([],_[m]))}}return a},r.validateTemplate=function(t,e){var r=n.extendDeep({},{_context:c,data:t.data,layout:t.layout}),a=r.layout||{};i(e)||(e=a.template||{});var s=e.layout,l=e.data,u=[];r.layout=a,r.layout.template=e,o.supplyDefaults(r);var h=r._fullLayout,p=r._fullData,d={};if(i(s)?(!function t(e,r){for(var n in e)if("_"!==n.charAt(0)&&i(e[n])){var a,o=f(n),s=[];for(a=0;a<r.length;a++)s.push(m(e,n,r[a])),o!==n&&s.push(m(e,o,r[a]));for(a=0;a<s.length;a++)d[s[a]]=1;t(e[n],s)}}(h,["layout"]),function t(e,r){for(var n in e)if(-1===n.indexOf("defaults")&&i(e[n])){var a=m(e,n,r);d[a]?t(e[n],a):u.push({code:"unused",path:a})}}(s,"layout")):u.push({code:"layout"}),i(l)){for(var y,x={},b=0;b<p.length;b++){var _=p[b];x[y=_.type]=(x[y]||0)+1,_._fullInput._template||u.push({code:"missing",index:_._fullInput.index,traceType:y})}for(y in l){var w=l[y].length,T=x[y]||0;w>T?u.push({code:"unused",traceType:y,templateCount:w,dataCount:T}):T>w&&u.push({code:"reused",traceType:y,templateCount:w,dataCount:T})}}else u.push({code:"data"});if(function t(e,r){for(var n in e)if("_"!==n.charAt(0)){var a=e[n],o=m(e,n,r);i(a)?(Array.isArray(e)&&!1===a._template&&a.templateitemname&&u.push({code:"missing",path:o,templateitemname:a.templateitemname}),t(a,o)):Array.isArray(a)&&g(a)&&t(a,o)}}({data:p,layout:h},""),u.length)return u.map(v)}},{"../lib":498,"../plots/attributes":545,"../plots/plots":614,"./plot_config":536,"./plot_schema":537,"./plot_template":538}],541:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./plot_api"),a=t("../plots/plots"),o=t("../lib"),s=t("../snapshot/helpers"),l=t("../snapshot/tosvg"),c=t("../snapshot/svgtoimg"),u=t("../version").version,f={format:{valType:"enumerated",values:["png","jpeg","webp","svg","full-json"],dflt:"png"},width:{valType:"number",min:1},height:{valType:"number",min:1},scale:{valType:"number",min:0,dflt:1},setBackground:{valType:"any",dflt:!1},imageDataOnly:{valType:"boolean",dflt:!1}};e.exports=function(t,e){var r,h,p,d;function m(t){return!(t in e)||o.validate(e[t],f[t])}if(e=e||{},o.isPlainObject(t)?(r=t.data||[],h=t.layout||{},p=t.config||{},d={}):(t=o.getGraphDiv(t),r=o.extendDeep([],t.data),h=o.extendDeep({},t.layout),p=t._context,d=t._fullLayout||{}),!m("width")&&null!==e.width||!m("height")&&null!==e.height)throw new Error("Height and width should be pixel values.");if(!m("format"))throw new Error("Export format is not "+o.join2(f.format.values,", "," or ")+".");var g={};function v(t,r){return o.coerce(e,g,f,t,r)}var y=v("format"),x=v("width"),b=v("height"),_=v("scale"),w=v("setBackground"),T=v("imageDataOnly"),k=document.createElement("div");k.style.position="absolute",k.style.left="-5000px",document.body.appendChild(k);var A=o.extendFlat({},h);x?A.width=x:null===e.width&&n(d.width)&&(A.width=d.width),b?A.height=b:null===e.height&&n(d.height)&&(A.height=d.height);var M=o.extendFlat({},p,{_exportedPlot:!0,staticPlot:!0,setBackground:w}),S=s.getRedrawFunc(k);function E(){return new Promise((function(t){setTimeout(t,s.getDelay(k._fullLayout))}))}function L(){return new Promise((function(t,e){var r=l(k,y,_),n=k._fullLayout.width,f=k._fullLayout.height;function h(){i.purge(k),document.body.removeChild(k)}if("full-json"===y){var p=a.graphJson(k,!1,"keepdata","object",!0,!0);return p.version=u,p=JSON.stringify(p),h(),t(T?p:s.encodeJSON(p))}if(h(),"svg"===y)return t(T?r:s.encodeSVG(r));var d=document.createElement("canvas");d.id=o.randstr(),c({format:y,width:n,height:f,scale:_,canvas:d,svg:r,promise:!0}).then(t).catch(e)}))}return new Promise((function(t,e){i.newPlot(k,r,A,M).then(S).then(E).then(L).then((function(e){t(function(t){return T?t.replace(s.IMAGE_URL_PREFIX,""):t}(e))})).catch((function(t){e(t)}))}))}},{"../lib":498,"../plots/plots":614,"../snapshot/helpers":637,"../snapshot/svgtoimg":639,"../snapshot/tosvg":641,"../version":1118,"./plot_api":535,"fast-isnumeric":185}],542:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plots/plots"),a=t("./plot_schema"),o=t("./plot_config").dfltConfig,s=n.isPlainObject,l=Array.isArray,c=n.isArrayOrTypedArray;function u(t,e,r,i,a,o){o=o||[];for(var f=Object.keys(t),h=0;h<f.length;h++){var p=f[h];if("transforms"!==p){var v=o.slice();v.push(p);var y=t[p],x=e[p],b=g(r,p),_=(b||{}).valType,w="info_array"===_,T="colorscale"===_,k=(b||{}).items;if(m(r,p))if(s(y)&&s(x)&&"any"!==_)u(y,x,b,i,a,v);else if(w&&l(y)){y.length>x.length&&i.push(d("unused",a,v.concat(x.length)));var A,M,S,E,L,C=x.length,P=Array.isArray(k);if(P&&(C=Math.min(C,k.length)),2===b.dimensions)for(M=0;M<C;M++)if(l(y[M])){y[M].length>x[M].length&&i.push(d("unused",a,v.concat(M,x[M].length)));var I=x[M].length;for(A=0;A<(P?Math.min(I,k[M].length):I);A++)S=P?k[M][A]:k,E=y[M][A],L=x[M][A],n.validate(E,S)?L!==E&&L!==+E&&i.push(d("dynamic",a,v.concat(M,A),E,L)):i.push(d("value",a,v.concat(M,A),E))}else i.push(d("array",a,v.concat(M),y[M]));else for(M=0;M<C;M++)S=P?k[M]:k,E=y[M],L=x[M],n.validate(E,S)?L!==E&&L!==+E&&i.push(d("dynamic",a,v.concat(M),E,L)):i.push(d("value",a,v.concat(M),E))}else if(b.items&&!w&&l(y)){var O,z,D=k[Object.keys(k)[0]],R=[];for(O=0;O<x.length;O++){var F=x[O]._index||O;if((z=v.slice()).push(F),s(y[F])&&s(x[O])){R.push(F);var B=y[F],N=x[O];s(B)&&!1!==B.visible&&!1===N.visible?i.push(d("invisible",a,z)):u(B,N,D,i,a,z)}}for(O=0;O<y.length;O++)(z=v.slice()).push(O),s(y[O])?-1===R.indexOf(O)&&i.push(d("unused",a,z)):i.push(d("object",a,z,y[O]))}else!s(y)&&s(x)?i.push(d("object",a,v,y)):c(y)||!c(x)||w||T?p in e?n.validate(y,b)?"enumerated"===b.valType&&(b.coerceNumber&&y!==+x||y!==x)&&i.push(d("dynamic",a,v,y,x)):i.push(d("value",a,v,y)):i.push(d("unused",a,v,y)):i.push(d("array",a,v,y));else i.push(d("schema",a,v))}}return i}function f(t,e){for(var r=t.layout.layoutAttributes,i=0;i<e.length;i++){var a=e[i],o=t.traces[a.type],s=o.layoutAttributes;s&&(a.subplot?n.extendFlat(r[o.attributes.subplot.dflt],s):n.extendFlat(r,s))}return r}e.exports=function(t,e){void 0===t&&(t=[]),void 0===e&&(e={});var r,c,h=a.get(),p=[],m={_context:n.extendFlat({},o)};l(t)?(m.data=n.extendDeep([],t),r=t):(m.data=[],r=[],p.push(d("array","data"))),s(e)?(m.layout=n.extendDeep({},e),c=e):(m.layout={},c={},arguments.length>1&&p.push(d("object","layout"))),i.supplyDefaults(m);for(var g=m._fullData,v=r.length,y=0;y<v;y++){var x=r[y],b=["data",y];if(s(x)){var _=g[y],w=_.type,T=h.traces[w].attributes;T.type={valType:"enumerated",values:[w]},!1===_.visible&&!1!==x.visible&&p.push(d("invisible",b)),u(x,_,T,p,b);var k=x.transforms,A=_.transforms;if(k){l(k)||p.push(d("array",b,["transforms"])),b.push("transforms");for(var M=0;M<k.length;M++){var S=["transforms",M],E=k[M].type;if(s(k[M])){var L=h.transforms[E]?h.transforms[E].attributes:{};L.type={valType:"enumerated",values:Object.keys(h.transforms)},u(k[M],A[M],L,p,b,S)}else p.push(d("object",b,S))}}}else p.push(d("object",b))}var C=m._fullLayout,P=f(h,g);return u(c,C,P,p,"layout"),0===p.length?void 0:p};var h={object:function(t,e){return("layout"===t&&""===e?"The layout argument":"data"===t[0]&&""===e?"Trace "+t[1]+" in the data argument":p(t)+"key "+e)+" must be linked to an object container"},array:function(t,e){return("data"===t?"The data argument":p(t)+"key "+e)+" must be linked to an array container"},schema:function(t,e){return p(t)+"key "+e+" is not part of the schema"},unused:function(t,e,r){var n=s(r)?"container":"key";return p(t)+n+" "+e+" did not get coerced"},dynamic:function(t,e,r,n){return[p(t)+"key",e,"(set to '"+r+"')","got reset to","'"+n+"'","during defaults."].join(" ")},invisible:function(t,e){return(e?p(t)+"item "+e:"Trace "+t[1])+" got defaulted to be not visible"},value:function(t,e,r){return[p(t)+"key "+e,"is set to an invalid value ("+r+")"].join(" ")}};function p(t){return l(t)?"In data trace "+t[1]+", ":"In "+t+", "}function d(t,e,r,i,a){var o,s;r=r||"",l(e)?(o=e[0],s=e[1]):(o=e,s=null);var c=function(t){if(!l(t))return String(t);for(var e="",r=0;r<t.length;r++){var n=t[r];"number"==typeof n?e=e.substr(0,e.length-1)+"["+n+"]":e+=n,r<t.length-1&&(e+=".")}return e}(r),u=h[t](e,c,i,a);return n.log(u),{code:t,container:o,trace:s,path:r,astr:c,msg:u}}function m(t,e){var r=y(e),n=r.keyMinusId,i=r.id;return!!(n in t&&t[n]._isSubplotObj&&i)||e in t}function g(t,e){return e in t?t[e]:t[y(e).keyMinusId]}var v=n.counterRegex("([a-z]+)");function y(t){var e=t.match(v);return{keyMinusId:e&&e[1],id:e&&e[2]}}},{"../lib":498,"../plots/plots":614,"./plot_config":536,"./plot_schema":537}],543:[function(t,e,r){"use strict";e.exports={mode:{valType:"enumerated",dflt:"afterall",values:["immediate","next","afterall"]},direction:{valType:"enumerated",values:["forward","reverse"],dflt:"forward"},fromcurrent:{valType:"boolean",dflt:!1},frame:{duration:{valType:"number",min:0,dflt:500},redraw:{valType:"boolean",dflt:!0}},transition:{duration:{valType:"number",min:0,dflt:500,editType:"none"},easing:{valType:"enumerated",dflt:"cubic-in-out",values:["linear","quad","cubic","sin","exp","circle","elastic","back","bounce","linear-in","quad-in","cubic-in","sin-in","exp-in","circle-in","elastic-in","back-in","bounce-in","linear-out","quad-out","cubic-out","sin-out","exp-out","circle-out","elastic-out","back-out","bounce-out","linear-in-out","quad-in-out","cubic-in-out","sin-in-out","exp-in-out","circle-in-out","elastic-in-out","back-in-out","bounce-in-out"],editType:"none"},ordering:{valType:"enumerated",values:["layout first","traces first"],dflt:"layout first",editType:"none"}}}},{}],544:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_template");e.exports=function(t,e,r){var a,o,s=r.name,l=r.inclusionAttr||"visible",c=e[s],u=n.isArrayOrTypedArray(t[s])?t[s]:[],f=e[s]=[],h=i.arrayTemplater(e,s,l);for(a=0;a<u.length;a++){var p=u[a];n.isPlainObject(p)?o=h.newItem(p):(o=h.newItem({}))[l]=!1,o._index=a,!1!==o[l]&&r.handleItemDefaults(p,o,e,r),f.push(o)}var d=h.defaultItems();for(a=0;a<d.length;a++)(o=d[a])._index=f.length,r.handleItemDefaults({},o,e,r,{}),f.push(o);if(n.isArrayOrTypedArray(c)){var m=Math.min(c.length,f.length);for(a=0;a<m;a++)n.relinkPrivateKeys(f[a],c[a])}return f}},{"../lib":498,"../plot_api/plot_template":538}],545:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("../components/fx/attributes");e.exports={type:{valType:"enumerated",values:[],dflt:"scatter",editType:"calc+clearAxisTypes",_noTemplating:!0},visible:{valType:"enumerated",values:[!0,!1,"legendonly"],dflt:!0,editType:"calc"},showlegend:{valType:"boolean",dflt:!0,editType:"style"},legendgroup:{valType:"string",dflt:"",editType:"style"},legendgrouptitle:{text:{valType:"string",dflt:"",editType:"style"},font:n({editType:"style"}),editType:"style"},legendrank:{valType:"number",dflt:1e3,editType:"style"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"style"},name:{valType:"string",editType:"style"},uid:{valType:"string",editType:"plot",anim:!0},ids:{valType:"data_array",editType:"calc",anim:!0},customdata:{valType:"data_array",editType:"calc"},meta:{valType:"any",arrayOk:!0,editType:"plot"},selectedpoints:{valType:"any",editType:"calc"},hoverinfo:{valType:"flaglist",flags:["x","y","z","text","name"],extras:["all","none","skip"],arrayOk:!0,dflt:"all",editType:"none"},hoverlabel:i.hoverlabel,stream:{token:{valType:"string",noBlank:!0,strict:!0,editType:"calc"},maxpoints:{valType:"number",min:0,max:1e4,dflt:500,editType:"calc"},editType:"calc"},transforms:{_isLinkedToArray:"transform",editType:"calc"},uirevision:{valType:"any",editType:"none"}}},{"../components/fx/attributes":392,"./font_attributes":580}],546:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=i.dateTime2ms,o=i.incrementMonth,s=t("../../constants/numerical").ONEAVGMONTH;e.exports=function(t,e,r,i){if("date"!==e.type)return{vals:i};var l=t[r+"periodalignment"];if(!l)return{vals:i};var c,u=t[r+"period"];if(n(u)){if((u=+u)<=0)return{vals:i}}else if("string"==typeof u&&"M"===u.charAt(0)){var f=+u.substring(1);if(!(f>0&&Math.round(f)===f))return{vals:i};c=f}for(var h=e.calendar,p="start"===l,d="end"===l,m=t[r+"period0"],g=a(m,h)||0,v=[],y=[],x=[],b=i.length,_=0;_<b;_++){var w,T,k,A=i[_];if(c){for(w=Math.round((A-g)/(c*s)),k=o(g,c*w,h);k>A;)k=o(k,-c,h);for(;k<=A;)k=o(k,c,h);T=o(k,-c,h)}else{for(k=g+(w=Math.round((A-g)/u))*u;k>A;)k-=u;for(;k<=A;)k+=u;T=k-u}v[_]=p?T:d?k:(T+k)/2,y[_]=T,x[_]=k}return{vals:v,starts:y,ends:x}}},{"../../constants/numerical":474,"../../lib":498,"fast-isnumeric":185}],547:[function(t,e,r){"use strict";e.exports={xaxis:{valType:"subplotid",dflt:"x",editType:"calc+clearAxisTypes"},yaxis:{valType:"subplotid",dflt:"y",editType:"calc+clearAxisTypes"}}},{}],548:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../constants/numerical").FP_SAFE,s=t("../../registry"),l=t("../../components/drawing"),c=t("./axis_ids"),u=c.getFromId,f=c.isLinked;function h(t,e){var r,n,i=[],o=t._fullLayout,s=d(o,e,0),l=d(o,e,1),c=m(t,e),u=c.min,f=c.max;if(0===u.length||0===f.length)return a.simpleMap(e.range,e.r2l);var h=u[0].val,g=f[0].val;for(r=1;r<u.length&&h===g;r++)h=Math.min(h,u[r].val);for(r=1;r<f.length&&h===g;r++)g=Math.max(g,f[r].val);var v=!1;if(e.range){var y=a.simpleMap(e.range,e.r2l);v=y[1]<y[0]}"reversed"===e.autorange&&(v=!0,e.autorange=!0);var x,b,_,w,T,k,A=e.rangemode,M="tozero"===A,S="nonnegative"===A,E=e._length,L=E/10,C=0;for(r=0;r<u.length;r++)for(x=u[r],n=0;n<f.length;n++)(k=(b=f[n]).val-x.val-p(e,x.val,b.val))>0&&((T=E-s(x)-l(b))>L?k/T>C&&(_=x,w=b,C=k/T):k/E>C&&(_={val:x.val,nopad:1},w={val:b.val,nopad:1},C=k/E));if(h===g){var P=h-1,I=h+1;if(M)if(0===h)i=[0,1];else{var O=(h>0?f:u).reduce((function(t,e){return Math.max(t,l(e))}),0),z=h/(1-Math.min(.5,O/E));i=h>0?[0,z]:[z,0]}else i=S?[Math.max(0,P),Math.max(1,I)]:[P,I]}else M?(_.val>=0&&(_={val:0,nopad:1}),w.val<=0&&(w={val:0,nopad:1})):S&&(_.val-C*s(_)<0&&(_={val:0,nopad:1}),w.val<=0&&(w={val:1,nopad:1})),C=(w.val-_.val-p(e,x.val,b.val))/(E-s(_)-l(w)),i=[_.val-C*s(_),w.val+C*l(w)];return v&&i.reverse(),a.simpleMap(i,e.l2r||Number)}function p(t,e,r){var n=0;if(t.rangebreaks)for(var i=t.locateBreaks(e,r),a=0;a<i.length;a++){var o=i[a];n+=o.max-o.min}return n}function d(t,e,r){var i=.05*e._length,o=e._anchorAxis||{};if(-1!==(e.ticklabelposition||"").indexOf("inside")||-1!==(o.ticklabelposition||"").indexOf("inside")){var s="reversed"===e.autorange;if(!s){var c=a.simpleMap(e.range,e.r2l);s=c[1]<c[0]}s&&(r=!r)}var u=0;return f(t,e._id)||(u=function(t,e,r){var i=0,o="x"===e._id.charAt(0);for(var s in t._plots){var c=t._plots[s];if(e._id===c.xaxis._id||e._id===c.yaxis._id){var u=(o?c.yaxis:c.xaxis)||{};if(-1!==(u.ticklabelposition||"").indexOf("inside")&&(!r&&("left"===u.side||"bottom"===u.side)||r&&("top"===u.side||"right"===u.side))){if(u._vals){var f=a.deg2rad(u._tickAngles[u._id+"tick"]||0),h=Math.abs(Math.cos(f)),p=Math.abs(Math.sin(f));if(!u._vals[0].bb){var d=u._id+"tick";u._selections[d].each((function(t){var e=n.select(this);e.select(".text-math-group").empty()&&(t.bb=l.bBox(e.node()))}))}for(var m=0;m<u._vals.length;m++){var g=u._vals[m].bb;if(g){var v=6+g.width,y=6+g.height;i=Math.max(i,o?Math.max(v*h,y*p):Math.max(y*h,v*p))}}}"inside"===u.ticks&&"inside"===u.ticklabelposition&&(i+=u.ticklen||0)}}}return i}(t,e,r)),i=Math.max(u,i),"domain"===e.constrain&&e._inputDomain&&(i*=(e._inputDomain[1]-e._inputDomain[0])/(e.domain[1]-e.domain[0])),function(t){return t.nopad?0:t.pad+(t.extrapad?i:u)}}e.exports={getAutoRange:h,makePadFn:d,doAutoRange:function(t,e,r){if(e.setScale(),e.autorange){e.range=r?r.slice():h(t,e),e._r=e.range.slice(),e._rl=a.simpleMap(e._r,e.r2l);var n=e._input,i={};i[e._attr+".range"]=e.range,i[e._attr+".autorange"]=e.autorange,s.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i),n.range=e.range.slice(),n.autorange=e.autorange}var o=e._anchorAxis;if(o&&o.rangeslider){var l=o.rangeslider[e._name];l&&"auto"===l.rangemode&&(l.range=h(t,e)),o._input.rangeslider[e._name]=a.extendFlat({},l)}},findExtremes:function(t,e,r){r||(r={});t._m||t.setScale();var n,a,s,l,c,u,f,h,p,d=[],m=[],y=e.length,b=r.padded||!1,_=r.tozero&&("linear"===t.type||"-"===t.type),w="log"===t.type,T=!1,k=r.vpadLinearized||!1;function A(t){if(Array.isArray(t))return T=!0,function(e){return Math.max(Number(t[e]||0),0)};var e=Math.max(Number(t||0),0);return function(){return e}}var M=A((t._m>0?r.ppadplus:r.ppadminus)||r.ppad||0),S=A((t._m>0?r.ppadminus:r.ppadplus)||r.ppad||0),E=A(r.vpadplus||r.vpad),L=A(r.vpadminus||r.vpad);if(!T){if(h=1/0,p=-1/0,w)for(n=0;n<y;n++)(a=e[n])<h&&a>0&&(h=a),a>p&&a<o&&(p=a);else for(n=0;n<y;n++)(a=e[n])<h&&a>-o&&(h=a),a>p&&a<o&&(p=a);e=[h,p],y=2}var C={tozero:_,extrapad:b};function P(r){s=e[r],i(s)&&(u=M(r),f=S(r),k?(l=t.c2l(s)-L(r),c=t.c2l(s)+E(r)):(h=s-L(r),p=s+E(r),w&&h<p/10&&(h=p/10),l=t.c2l(h),c=t.c2l(p)),_&&(l=Math.min(0,l),c=Math.max(0,c)),x(l)&&g(d,l,f,C),x(c)&&v(m,c,u,C))}var I=Math.min(6,y);for(n=0;n<I;n++)P(n);for(n=y-1;n>=I;n--)P(n);return{min:d,max:m,opts:r}},concatExtremes:m};function m(t,e,r){var n,i,a,o=e._id,s=t._fullData,l=t._fullLayout,c=[],f=[];function h(t,e){for(n=0;n<e.length;n++){var r=t[e[n]],s=(r._extremes||{})[o];if(!0===r.visible&&s){for(i=0;i<s.min.length;i++)a=s.min[i],g(c,a.val,a.pad,{extrapad:a.extrapad});for(i=0;i<s.max.length;i++)a=s.max[i],v(f,a.val,a.pad,{extrapad:a.extrapad})}}}if(h(s,e._traceIndices),h(l.annotations||[],e._annIndices||[]),h(l.shapes||[],e._shapeIndices||[]),e._matchGroup&&!r)for(var p in e._matchGroup)if(p!==e._id){var d=u(t,p),y=m(t,d,!0),x=e._length/d._length;for(i=0;i<y.min.length;i++)a=y.min[i],g(c,a.val,a.pad*x,{extrapad:a.extrapad});for(i=0;i<y.max.length;i++)a=y.max[i],v(f,a.val,a.pad*x,{extrapad:a.extrapad})}return{min:c,max:f}}function g(t,e,r,n){y(t,e,r,n,b)}function v(t,e,r,n){y(t,e,r,n,_)}function y(t,e,r,n,i){for(var a=n.tozero,o=n.extrapad,s=!0,l=0;l<t.length&&s;l++){var c=t[l];if(i(c.val,e)&&c.pad>=r&&(c.extrapad||!o)){s=!1;break}i(e,c.val)&&c.pad<=r&&(o||!c.extrapad)&&(t.splice(l,1),l--)}if(s){var u=a&&0===e;t.push({val:e,pad:u?0:r,extrapad:!u&&o})}}function x(t){return i(t)&&Math.abs(t)<o}function b(t,e){return t<=e}function _(t,e){return t>=e}},{"../../components/drawing":383,"../../constants/numerical":474,"../../lib":498,"../../registry":633,"./axis_ids":553,"@plotly/d3":58,"fast-isnumeric":185}],549:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib"),l=s.strTranslate,c=t("../../lib/svg_text_utils"),u=t("../../components/titles"),f=t("../../components/color"),h=t("../../components/drawing"),p=t("./layout_attributes"),d=t("./clean_ticks"),m=t("../../constants/numerical"),g=m.ONEMAXYEAR,v=m.ONEAVGYEAR,y=m.ONEMINYEAR,x=m.ONEMAXQUARTER,b=m.ONEAVGQUARTER,_=m.ONEMINQUARTER,w=m.ONEMAXMONTH,T=m.ONEAVGMONTH,k=m.ONEMINMONTH,A=m.ONEWEEK,M=m.ONEDAY,S=M/2,E=m.ONEHOUR,L=m.ONEMIN,C=m.ONESEC,P=m.MINUS_SIGN,I=m.BADNUM,O={K:"zeroline"},z={K:"gridline",L:"path"},D={K:"tick",L:"path"},R={K:"tick",L:"text"},F=t("../../constants/alignment"),B=F.MID_SHIFT,N=F.CAP_SHIFT,j=F.LINE_SPACING,U=F.OPPOSITE_SIDE,V=e.exports={};V.setConvert=t("./set_convert");var H=t("./axis_autotype"),q=t("./axis_ids"),G=q.idSort,Y=q.isLinked;V.id2name=q.id2name,V.name2id=q.name2id,V.cleanId=q.cleanId,V.list=q.list,V.listIds=q.listIds,V.getFromId=q.getFromId,V.getFromTrace=q.getFromTrace;var W=t("./autorange");V.getAutoRange=W.getAutoRange,V.findExtremes=W.findExtremes;function X(t){var e=1e-4*(t[1]-t[0]);return[t[0]-e,t[1]+e]}V.coerceRef=function(t,e,r,n,i,a){var o=n.charAt(n.length-1),l=r._fullLayout._subplots[o+"axis"],c=n+"ref",u={};return i||(i=l[0]||("string"==typeof a?a:a[0])),a||(a=i),l=l.concat(l.map((function(t){return t+" domain"}))),u[c]={valType:"enumerated",values:l.concat(a?"string"==typeof a?[a]:a:[]),dflt:i},s.coerce(t,e,u,c)},V.getRefType=function(t){return void 0===t?t:"paper"===t?"paper":"pixel"===t?"pixel":/( domain)$/.test(t)?"domain":"range"},V.coercePosition=function(t,e,r,n,i,a){var o,l;if("range"!==V.getRefType(n))o=s.ensureNumber,l=r(i,a);else{var c=V.getFromId(e,n);l=r(i,a=c.fraction2r(a)),o=c.cleanPos}t[i]=o(l)},V.cleanPosition=function(t,e,r){return("paper"===r||"pixel"===r?s.ensureNumber:V.getFromId(e,r).cleanPos)(t)},V.redrawComponents=function(t,e){e=e||V.listIds(t);var r=t._fullLayout;function n(n,i,a,s){for(var l=o.getComponentMethod(n,i),c={},u=0;u<e.length;u++)for(var f=r[V.id2name(e[u])][a],h=0;h<f.length;h++){var p=f[h];if(!c[p]&&(l(t,p),c[p]=1,s))return}}n("annotations","drawOne","_annIndices"),n("shapes","drawOne","_shapeIndices"),n("images","draw","_imgIndices",!0)};var Z=V.getDataConversions=function(t,e,r,n){var i,a="x"===r||"y"===r||"z"===r?r:n;if(Array.isArray(a)){if(i={type:H(n,void 0,{autotypenumbers:t._fullLayout.autotypenumbers}),_categories:[]},V.setConvert(i),"category"===i.type)for(var o=0;o<n.length;o++)i.d2c(n[o])}else i=V.getFromTrace(t,e,a);return i?{d2c:i.d2c,c2d:i.c2d}:"ids"===a?{d2c:K,c2d:K}:{d2c:J,c2d:J}};function J(t){return+t}function K(t){return String(t)}function Q(t){return+t.substring(1)}V.getDataToCoordFunc=function(t,e,r,n){return Z(t,e,r,n).d2c},V.counterLetter=function(t){var e=t.charAt(0);return"x"===e?"y":"y"===e?"x":void 0},V.minDtick=function(t,e,r,n){-1===["log","category","multicategory"].indexOf(t.type)&&n?void 0===t._minDtick?(t._minDtick=e,t._forceTick0=r):t._minDtick&&((t._minDtick/e+1e-6)%1<2e-6&&((r-t._forceTick0)/e%1+1.000001)%1<2e-6?(t._minDtick=e,t._forceTick0=r):((e/t._minDtick+1e-6)%1>2e-6||((r-t._forceTick0)/t._minDtick%1+1.000001)%1>2e-6)&&(t._minDtick=0)):t._minDtick=0},V.saveRangeInitial=function(t,e){for(var r=V.list(t,"",!0),n=!1,i=0;i<r.length;i++){var a=r[i],o=void 0===a._rangeInitial,s=o||!(a.range[0]===a._rangeInitial[0]&&a.range[1]===a._rangeInitial[1]);(o&&!1===a.autorange||e&&s)&&(a._rangeInitial=a.range.slice(),n=!0)}return n},V.saveShowSpikeInitial=function(t,e){for(var r=V.list(t,"",!0),n=!1,i="on",a=0;a<r.length;a++){var o=r[a],s=void 0===o._showSpikeInitial,l=s||!(o.showspikes===o._showspikes);(s||e&&l)&&(o._showSpikeInitial=o.showspikes,n=!0),"on"!==i||o.showspikes||(i="off")}return t._fullLayout._cartesianSpikesEnabled=i,n},V.autoBin=function(t,e,r,n,a,o){var l,c=s.aggNums(Math.min,null,t),u=s.aggNums(Math.max,null,t);if("category"===e.type||"multicategory"===e.type)return{start:c-.5,end:u+.5,size:Math.max(1,Math.round(o)||1),_dataSpan:u-c};if(a||(a=e.calendar),l="log"===e.type?{type:"linear",range:[c,u]}:{type:e.type,range:s.simpleMap([c,u],e.c2r,0,a),calendar:a},V.setConvert(l),o=o&&d.dtick(o,l.type))l.dtick=o,l.tick0=d.tick0(void 0,l.type,a);else{var f;if(r)f=(u-c)/r;else{var h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),m=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(m,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}V.autoTicks(l,f)}var g,v=l.dtick,y=V.tickIncrement(V.tickFirst(l),v,"reverse",a);if("number"==typeof v)g=(y=function(t,e,r,n,a){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||c++,u(e[f])&&o++,u(e[f]+r.dtick/2)&&s++;var h=e.length-c;if(l===h&&"date"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||u(n)||u(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for("M"===l.dtick.charAt(0)&&(y=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=V.tickIncrement(t,"M6","reverse")+1.5*M:a.exactMonths>.8?t=V.tickIncrement(t,"M1","reverse")+15.5*M:t-=S;var l=V.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,a)),g=y,0;g<=u;)g=V.tickIncrement(g,v,!1,a);return{start:e.c2r(y,0,a),end:e.c2r(g,0,a),size:v,_dataSpan:u-c}},V.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(t._dtickInit=t.dtick,t._tick0Init=t.tick0,"auto"===t.tickmode||!t.dtick){var n,a=t.nticks;a||("category"===t.type||"multicategory"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n="y"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),"radialaxis"===t._name&&(a*=2)),"array"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,V.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}"period"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||"M"!==t.dtick.charAt(0))}var n=r(),a=V.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Bbm]/.test(a)?(e=T,o&&(n?Q(t.dtick)<1:t.dtick<k)&&(t.dtick="M1")):/%[q]/.test(a)?(e=b,o&&(n?Q(t.dtick)<3:t.dtick<_)&&(t.dtick="M3")):/%[Yy]/.test(a)&&(e=v,o&&(n?Q(t.dtick)<12:t.dtick<y)&&(t.dtick="M12")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0);t._definedDelta=e}(t),t.tick0||(t.tick0="date"===t.type?"2000-01-01":0),"date"===t.type&&t.dtick<.1&&(t.dtick=.1),st(t)},V.calcTicks=function(t,e){V.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if("array"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),i=X(s.simpleMap(t.range,t.r2l)),a=Math.min(i[0],i[1]),o=Math.max(i[0],i[1]),l=0;Array.isArray(r)||(r=[]);var c="category"===t.type?t.d2l_noadd:t.d2l;"log"===t.type&&"L"!==String(t.dtick).charAt(0)&&(t.dtick="L"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var f=c(e[u]);f>a&&f<o&&(void 0===r[u]?n[l]=V.tickText(t,f):n[l]=lt(t,f,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==I})));return n}(t);var n=X(r),a=n[0],o=n[1],l=r[1]<r[0],c=Math.min(r[0],r[1]),u=Math.max(r[0],r[1]),f=i(t.dtick),h="log"===t.type&&!(f||"L"===t.dtick.charAt(0)),p="period"===t.ticklabelmode;if(t._tmin=V.tickFirst(t,e),t._tmin<a!==l)return[];"category"!==t.type&&"multicategory"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var d=t._tmin;t.rangebreaks&&t._tick0Init!==t.tick0&&(d=Mt(d,t),l||(d=V.tickIncrement(d,t.dtick,!l,t.calendar))),p&&(d=V.tickIncrement(d,t.dtick,!l,t.calendar));var m,L=t.ticklabelstep,C=Math.max(1e3,t._length||0),P=[],O=null;f?m=t.dtick:"date"===t.type?"string"==typeof t.dtick&&"M"===t.dtick.charAt(0)&&(m=T*t.dtick.substring(1)):m=t._roughDTick;for(var z,D,R=Math.round((t.r2l(d)-t.r2l(t.tick0))/m)-1;l?d>=o:d<=o;d=V.tickIncrement(d,t.dtick,l,t.calendar)){if(R++,t.rangebreaks&&!l){if(d<a)continue;if(t.maskBreaks(d)===I&&Mt(d,t)>=u)break}if(P.length>C||d===O)break;O=d;var F=!1;h&&d!==(0|d)&&(F=!0);var B={minor:F,value:d};L>1&&R%L&&(B.skipLabel=!0),P.push(B)}if(p&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,c=t[o].value,u=Math.abs(c-l),f=r||u,h=0;f>=y?h=u>=y&&u<=g?u:v:r===b&&f>=_?h=u>=_&&u<=x?u:b:f>=k?h=u>=k&&u<=w?u:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=u&&(h=u,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,m=0;m<84;m++){var L=(m+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==I&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>A&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(P,t,t._definedDelta),t.rangebreaks){var N="y"===t._id.charAt(0),j=1;"auto"===t.tickmode&&(j=t.tickfont?t.tickfont.size:12);var U=NaN;for(z=P.length-1;z>-1;z--)if(P[z].drop)P.splice(z,1);else{P[z].value=Mt(P[z].value,t);var H=t.c2p(P[z].value);(N?U>H-j:U<H+j)?P.splice(l?z+1:z,1):U=H}}At(t)&&360===Math.abs(r[1]-r[0])&&P.pop(),t._tmax=(P[P.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var q,G,Y=function(e){e.text=" ",t._prevDateHead=D},W=[];for(z=0;z<P.length;z++){var Z=P[z].minor,J=P[z].value;D=t._prevDateHead,q=V.tickText(t,J,!1,Z),void 0!==(G=P[z].periodX)&&(q.periodX=G,(G>u||G<c)&&(G>u&&(q.periodX=u),G<c&&(q.periodX=c),Y(q))),P[z].skipLabel&&Y(q),W.push(q)}return t._inCalcTicks=!1,W};var $=[2,5,10],tt=[1,2,3,6,12],et=[1,2,5,10,15,30],rt=[1,2,3,7,14],nt=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],it=[-.301,0,.301,.699,1],at=[15,30,45,90,180];function ot(t,e,r){return e*s.roundUp(t/e,r)}function st(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=M&&a<=10||e>=15*M)t._tickround="d";else if(e>=L&&a<=16||e>=E)t._tickround="M";else if(e>=C&&a<=19||e>=L)t._tickround="S";else{var o=t.l2r(r+e).replace(/^-/,"").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||"L"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(ut(t.exponentformat)&&!ft(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function lt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||"",fontSize:n.size,font:n.family,fontColor:n.color}}V.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if("date"===t.type){t.tick0=s.dateTick0(t.calendar,0);var a=2*e;if(a>v)e/=v,r=n(10),t.dtick="M"+12*ot(e,r,$);else if(a>T)e/=T,t.dtick="M"+ot(e,1,tt);else if(a>M){t.dtick=ot(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:rt);var o=V.getTickFormat(t),l="period"===t.ticklabelmode;l&&(t._rawTick0=t.tick0),/%[uVW]/.test(o)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),l&&(t._dowTick0=t.tick0)}else a>E?t.dtick=ot(e,E,tt):a>L?t.dtick=ot(e,L,et):a>C?t.dtick=ot(e,C,et):(r=n(10),t.dtick=ot(e,r,$))}else if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick="L"+ot(e,r,$)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,c,a);if("L"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if("D"===l){var u="D2"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw"unrecognized dtick "+String(e)},V.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,c=X(a)[0],u=t.dtick,f=r(t.tick0);if(i(u)){var h=l((c-f)/u)*u+f;return"category"!==t.type&&"multicategory"!==t.type||(h=s.constrain(h,0,t._categories.length-1)),h}var p=u.charAt(0),d=Number(u.substr(1));if("M"===p){for(var m,g,v,y=0,x=f;y<10;){if(((m=V.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,m):Math.max(x,m);g=(c-(x+m)/2)/(m-x),v=p+(Math.abs(Math.round(g))||1)*d,x=V.tickIncrement(x,v,g<0?!o:o,t.calendar),y++}return s.error("tickFirst did not converge",t),x}if("L"===p)return Math.log(l((Math.pow(10,c)-f)/d)*d+f)/Math.LN10;if("D"===p){var b="D2"===u?it:nt,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw"unrecognized dtick "+String(u)},V.tickText=function(t,e,r,n){var a,o=lt(t,e),l="array"===t.tickmode,c=r||l,u=t.type,f="category"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return"none"===n;var i={first:t._tmin,last:t._tmax}[n];return"all"!==n&&e!==i}var m=r?"never":"none"!==t.exponentformat&&d(t.showexponent)?"hide":"";if("date"===u?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||V.getTickFormat(t);n&&(a=i(a)?4:{y:"m",m:"d",d:"M",M:"S",S:4}[a]);var l,c=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf("\n");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&("00:00:00"===c||"00:00"===c?(c=l,l=""):8===c.length&&(c=c.replace(/:00$/,"")));if(l)if(r)"d"===a?c+=", "+l:c=l+(c?", "+c:"");else if(t._inCalcTicks&&t._prevDateHead===l){var f=St(t),h=t._trueSide||t.side;(!f&&"top"===h||f&&"bottom"===h)&&(c+="<br> ")}else t._prevDateHead=l,c+="<br>"+l;e.text=c}(t,o,r,c):"log"===u?function(t,e,r,n,a){var o=t.dtick,l=e.x,c=t.tickformat,u="string"==typeof o&&o.charAt(0);"never"===a&&(a="");n&&"L"!==u&&(o="L3",u="L");if(c||"L"===u)e.text=ht(Math.pow(10,l),t,a,n);else if(i(o)||"D"===u&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;"power"===p||ut(p)&&ft(f)?(e.text=0===f?1:1===f?"10":"10<sup>"+(f>1?"":P)+h+"</sup>",e.fontSize*=1.25):("e"===p||"E"===p)&&h>2?e.text="1"+p+(f>0?"+":P)+h:(e.text=ht(Math.pow(10,l),t,"","fakehover"),"D1"===o&&"y"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if("D"!==u)throw"unrecognized dtick "+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if("D1"===t.dtick){var d=String(e.text).charAt(0);"0"!==d&&"1"!==d||("y"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,m):"category"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r="");e.text=String(r)}(t,o):"multicategory"===u?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?"":String(i[1]),o=void 0===i[0]?"":String(i[0]);r?e.text=o+" - "+a:(e.text=a,e.text2=o)}(t,o,r):At(t)?function(t,e,r,n,i){if("radians"!==t.thetaunit||r)e.text=ht(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text="0";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=ht(s.deg2rad(e.x),t,i,n);else{var l=e.x<0;1===o[1]?1===o[0]?e.text="\u03c0":e.text=o[0]+"\u03c0":e.text=["<sup>",o[0],"</sup>","\u2044","<sub>",o[1],"</sub>","\u03c0"].join(""),l&&(e.text=P+e.text)}}}}(t,o,r,c,m):function(t,e,r,n,i){"never"===i?i="":"all"===t.showexponent&&Math.abs(e.x/t.dtick)<1e-6&&(i="hide");e.text=ht(e.x,t,i,n)}(t,o,0,c,m),n||(t.tickprefix&&!d(t.showtickprefix)&&(o.text=t.tickprefix+o.text),t.ticksuffix&&!d(t.showticksuffix)&&(o.text+=t.ticksuffix)),"boundaries"===t.tickson||t.showdividers){var g=function(e){var r=t.l2p(e);return r>=0&&r<=t._length?e:null};o.xbnd=[g(o.x-.5),g(o.x+t.dtick-.5)]}return o},V.hoverLabelText=function(t,e,r){r&&(t=s.extendFlat({},t,{hoverformat:r}));var n=Array.isArray(e)?e[0]:e,i=Array.isArray(e)?e[1]:void 0;if(void 0!==i&&i!==n)return V.hoverLabelText(t,n,r)+" - "+V.hoverLabelText(t,i,r);var a="log"===t.type&&n<=0,o=V.tickText(t,t.c2l(a?-n:n),"hover").text;return a?0===n?"0":P+o:o};var ct=["f","p","n","\u03bc","m","","k","M","G","T"];function ut(t){return"SI"===t||"B"===t}function ft(t){return t>14||t<-15}function ht(t,e,r,n){var a=t<0,o=e._tickround,l=r||e.exponentformat||"B",c=e._tickexponent,u=V.getTickFormat(e),f=e.separatethousands;if(n){var h={exponentformat:l,minexponent:e.minexponent,dtick:"none"===e.showexponent?e.dtick:i(t)&&Math.abs(t)||1,range:"none"===e.showexponent?e.range.map(e.r2d):[0,t||1]};st(h),o=(Number(h._tickround)||0)+4,c=h._tickexponent,e.hoverformat&&(u=e.hoverformat)}if(u)return e._numFormat(u)(t).replace(/-/g,P);var p,d=Math.pow(10,-o)/2;if("none"===l&&(c=0),(t=Math.abs(t))<d)t="0",a=!1;else{if(t+=d,c&&(t*=Math.pow(10,-c),o+=c),0===o)t=String(Math.floor(t));else if(o<0){t=(t=String(Math.round(t))).substr(0,t.length+o);for(var m=o;m<0;m++)t+="0"}else{var g=(t=String(t)).indexOf(".")+1;g&&(t=t.substr(0,g+o).replace(/\.?0+$/,""))}t=s.numSeparate(t,e._separators,f)}c&&"hide"!==l&&(ut(l)&&ft(c)&&(l="power"),p=c<0?P+-c:"power"!==l?"+"+c:String(c),"e"===l||"E"===l?t+=l+p:"power"===l?t+="\xd710<sup>"+p+"</sup>":"B"===l&&9===c?t+="B":ut(l)&&(t+=ct[c/3+5]));return a?P+t:t}function pt(t,e){for(var r=[],n={},i=0;i<e.length;i++){var a=e[i];n[a.text2]?n[a.text2].push(a.x):n[a.text2]=[a.x]}for(var o in n)r.push(lt(t,s.interp(n[o],.5),o));return r}function dt(t){return void 0!==t.periodX?t.periodX:t.x}function mt(t){return[t.text,t.x,t.axInfo,t.font,t.fontSize,t.fontColor].join("_")}function gt(t){var e=t.title.font.size,r=(t.title.text.match(c.BR_TAG_ALL)||[]).length;return t.title.hasOwnProperty("standoff")?r?e*(N+r*j):e*N:r?e*(r+1)*j:e}function vt(t,e){var r=t.l2p(e);return r>1&&r<t._length-1}function yt(t){var e=n.select(t),r=e.select(".text-math-group");return r.empty()?e.select("text"):r}function xt(t){return t._id+".automargin"}function bt(t){return xt(t)+".mirror"}function _t(t){return t._id+".rangeslider"}function wt(t,e){for(var r=0;r<e.length;r++)-1===t.indexOf(e[r])&&t.push(e[r])}function Tt(t,e,r){var n,i,a=[],o=[],l=t.layout;for(n=0;n<e.length;n++)a.push(V.getFromId(t,e[n]));for(n=0;n<r.length;n++)o.push(V.getFromId(t,r[n]));var c=Object.keys(p),u=["anchor","domain","overlaying","position","side","tickangle","editType"],f=["linear","log"];for(n=0;n<c.length;n++){var h=c[n],d=a[0][h],m=o[0][h],g=!0,v=!1,y=!1;if("_"!==h.charAt(0)&&"function"!=typeof d&&-1===u.indexOf(h)){for(i=1;i<a.length&&g;i++){var x=a[i][h];"type"===h&&-1!==f.indexOf(d)&&-1!==f.indexOf(x)&&d!==x?v=!0:x!==d&&(g=!1)}for(i=1;i<o.length&&g;i++){var b=o[i][h];"type"===h&&-1!==f.indexOf(m)&&-1!==f.indexOf(b)&&m!==b?y=!0:o[i][h]!==m&&(g=!1)}g&&(v&&(l[a[0]._name].type="linear"),y&&(l[o[0]._name].type="linear"),kt(l,h,a,o,t._fullLayout._dfltTitle))}}for(n=0;n<t._fullLayout.annotations.length;n++){var _=t._fullLayout.annotations[n];-1!==e.indexOf(_.xref)&&-1!==r.indexOf(_.yref)&&s.swapAttrs(l.annotations[n],["?"])}}function kt(t,e,r,n,i){var a,o=s.nestedProperty,l=o(t[r[0]._name],e).get(),c=o(t[n[0]._name],e).get();for("title"===e&&(l&&l.text===i.x&&(l.text=i.y),c&&c.text===i.y&&(c.text=i.x)),a=0;a<r.length;a++)o(t,r[a]._name+"."+e).set(c);for(a=0;a<n.length;a++)o(t,n[a]._name+"."+e).set(l)}function At(t){return"angularaxis"===t._id}function Mt(t,e){for(var r=e._rangebreaks.length,n=0;n<r;n++){var i=e._rangebreaks[n];if(t>=i.min&&t<i.max)return i.max}return t}function St(t){return-1!==(t.ticklabelposition||"").indexOf("inside")}function Et(t,e){St(t._anchorAxis||{})&&t._hideCounterAxisInsideTickLabels&&t._hideCounterAxisInsideTickLabels(e)}V.getTickFormat=function(t){var e,r,n,i,a,o,s,l;function c(t){return"string"!=typeof t?t:Number(t.replace("M",""))*T}function u(t,e){var r=["L","D"];if(typeof t==typeof e){if("number"==typeof t)return t-e;var n=r.indexOf(t.charAt(0)),i=r.indexOf(e.charAt(0));return n===i?Number(t.replace(/(L|D)/g,""))-Number(e.replace(/(L|D)/g,"")):n-i}return"number"==typeof t?1:-1}function f(t,e){var r=null===e[0],n=null===e[1],i=u(t,e[0])>=0,a=u(t,e[1])<=0;return(r||i)&&(n||a)}if(t.tickformatstops&&t.tickformatstops.length>0)switch(t.type){case"date":case"linear":for(e=0;e<t.tickformatstops.length;e++)if((n=t.tickformatstops[e]).enabled&&(i=t.dtick,a=n.dtickrange,o=void 0,s=void 0,l=void 0,o=c||function(t){return t},s=a[0],l=a[1],(!s&&"number"!=typeof s||o(s)<=o(i))&&(!l&&"number"!=typeof l||o(l)>=o(i)))){r=n;break}break;case"log":for(e=0;e<t.tickformatstops.length;e++)if((n=t.tickformatstops[e]).enabled&&f(t.dtick,n.dtickrange)){r=n;break}}return r?r.value:t.tickformat},V.getSubplots=function(t,e){var r=t._fullLayout._subplots,n=r.cartesian.concat(r.gl2d||[]),i=e?V.findSubplotsWithAxis(n,e):n;return i.sort((function(t,e){var r=t.substr(1).split("y"),n=e.substr(1).split("y");return r[0]===n[0]?+r[1]-+n[1]:+r[0]-+n[0]})),i},V.findSubplotsWithAxis=function(t,e){for(var r=new RegExp("x"===e._id.charAt(0)?"^"+e._id+"y":e._id+"$"),n=[],i=0;i<t.length;i++){var a=t[i];r.test(a)&&n.push(a)}return n},V.makeClipPaths=function(t){var e=t._fullLayout;if(!e._hasOnlyLargeSploms){var r,i,a={_offset:0,_length:e.width,_id:""},o={_offset:0,_length:e.height,_id:""},s=V.list(t,"x",!0),l=V.list(t,"y",!0),c=[];for(r=0;r<s.length;r++)for(c.push({x:s[r],y:o}),i=0;i<l.length;i++)0===r&&c.push({x:a,y:l[i]}),c.push({x:s[r],y:l[i]});var u=e._clips.selectAll(".axesclip").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append("clipPath").classed("axesclip",!0).attr("id",(function(t){return"clip"+e._uid+t.x._id+t.y._id})).append("rect"),u.exit().remove(),u.each((function(t){n.select(this).select("rect").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},V.draw=function(t,e,r){var n=t._fullLayout;"redraw"===e&&n._paper.selectAll("g.subplot").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll("."+i._id+"tick").remove(),r.yaxislayer.selectAll("."+a._id+"tick").remove(),r.xaxislayer.selectAll("."+i._id+"tick2").remove(),r.yaxislayer.selectAll("."+a._id+"tick2").remove(),r.xaxislayer.selectAll("."+i._id+"divider").remove(),r.yaxislayer.selectAll("."+a._id+"divider").remove(),r.gridlayer&&r.gridlayer.selectAll("path").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll("path").remove(),n._infolayer.select(".g-"+i._id+"title").remove(),n._infolayer.select(".g-"+a._id+"title").remove()}}));var i=e&&"redraw"!==e?e:V.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=V.getFromId(t,e),i=V.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},V.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=V.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+"axislayer"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=V.calcTicks(e),_=[e.mirror,y,x].join("_");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=V.makeTransTickFn(e),M=V.makeTransTickLabelFn(e),S="inside"===e.ticks,E="outside"===e.ticks;if("boundaries"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=V.clipEnds(e,L),T=S?k:L}else k=V.clipEnds(e,b),T=S&&"period"!==e.ticklabelmode?k:b;var C=e._gridVals=k,P=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var I=e._subplotsWith,O={};for(n=0;n<I.length;n++){i=I[n];var z=(l=c._plots[i])[m+"axis"],D=z._mainAxis._id;if(!O[D]){O[D]=1;var R="x"===d?"M0,"+z._offset+"v"+z._length:"M"+z._offset+",0h"+z._length;V.drawGrid(t,e,{vals:C,counterAxis:z,layer:l.gridlayer.select("."+p),path:R,transFn:A}),V.drawZeroLine(t,e,{counterAxis:z,layer:l.zerolinelayer,path:R,transFn:A})}}}var F=V.getTickSigns(e),B=[];if(e.ticks){var N,H,q,G=V.makeTickPath(e,y,F[2]);if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(N=V.makeTickPath(e,x,F[3]),H=G+N):(N="",H=G),e.showdividers&&E&&"boundaries"===e.tickson){var Y={};for(n=0;n<P.length;n++)Y[P[n].x]=1;q=function(t){return Y[t.x]?N:H}}else q=H;V.drawTicks(t,e,{vals:T,layer:v,path:q,transFn:A}),"allticks"===e.mirror&&(B=Object.keys(e._linepositions||{}))}for(n=0;n<B.length;n++){i=B[n],l=c._plots[i];var W=e._linepositions[i]||[],X=V.makeTickPath(e,W[0],F[0])+V.makeTickPath(e,W[1],F[1]);V.drawTicks(t,e,{vals:T,layer:l[d+"axislayer"],path:X,transFn:A})}var Z=[];if(Z.push((function(){return V.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:V.makeLabelFns(e,y)})})),"multicategory"===e.type){var J={x:2,y:10}[d];Z.push((function(){var r={x:"height",y:"width"}[d],n=Q()[r]+J+(e._tickAngles[p+"tick"]?e.tickfont.size*j:0);return V.drawLabels(t,e,{vals:pt(e,b),layer:v,cls:p+"tick2",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:V.makeLabelFns(e,y+n*F[4])})})),Z.push((function(){return e._depth=F[4]*(Q("tick2")[e.side]-y),function(t,e,r){var n=e._id+"divider",i=r.vals,a=r.layer.selectAll("path."+n).data(i,mt);a.exit().remove(),a.enter().insert("path",":first-child").classed(n,1).classed("crisp",1).call(f.stroke,e.dividercolor).style("stroke-width",h.crispRound(t,e.dividerwidth,1)+"px"),a.attr("transform",r.transFn).attr("d",r.path)}(t,e,{vals:P,layer:v,path:V.makeTickPath(e,y,F[4],e._depth),transFn:A})}))}else e.title.hasOwnProperty("standoff")&&Z.push((function(){e._depth=F[4]*(Q()[e.side]-y)}));var K=o.getComponentMethod("rangeslider","isVisible")(e);return Z.push((function(){var r,n,i,s,l=e.side.charAt(0),u=U[e.side].charAt(0),f=V.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||K)&&("multicategory"===e.type?r=Q("tick2"):(r=Q(),"x"===d&&"b"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if("x"===d){if("b"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if("l"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]="free"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=gt(e)+(e.title.standoff||0)),e.mirror&&"free"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||"ticks"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:"all"!==e.mirror&&"allticks"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}K&&(s=o.getComponentMethod("rangeslider","autoMarginOpts")(t,e)),a.autoMargin(t,xt(e),n),a.autoMargin(t,bt(e),i),a.autoMargin(t,_t(e),s)})),r.skipTitle||K&&"bottom"===e.side||Z.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty("standoff"))r=e._depth+e.title.standoff+gt(e);else{var s=St(e);if("multicategory"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,"outside"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+="x"===a?"top"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):"right"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=V.getPxPosition(t,e);"x"===a?(f=e._offset+e._length/2,p="top"===e.side?m-r:m+r):(p=e._offset+e._length/2,f="right"===e.side?m+r:m-r,c={rotate:"-90",offset:0});if("multicategory"!==e.type){var g=e._selections[e._id+"tick"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty("standoff")&&(d.pad=0)}return u.draw(t,i+"title",{propContainer:e,propName:e._name+".title.text",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,"text-anchor":"middle"}})}(t,e)})),s.syncOrAsync(Z)}}function Q(t){var r=p+(t||"tick");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=yt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},V.getTickSigns=function(t){var e=t._id.charAt(0),r={x:"top",y:"right"}[e],n=t.side===r?1:-1,i=[-1,1,n,-n];return"inside"!==t.ticks==("x"===e)&&(i=i.map((function(t){return-t}))),t.side&&i.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),i},V.makeTransTickFn=function(t){return"x"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},V.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||"",r=function(t){return-1!==e.indexOf(t)},n=r("top"),i=r("left"),a=r("right"),o=r("bottom"),s=r("inside"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*N,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&"top"===c&&(f-=h*(1-N));(i||n)&&(u=-u);"bottom"!==c&&"right"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return"x"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(dt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(dt(e)))}},V.makeTickPath=function(t,e,r,n){n=void 0!==n?n:t.ticklen;var i=t._id.charAt(0),a=(t.linewidth||1)/2;return"x"===i?"M0,"+(e+a*r)+"v"+n*r:"M"+(e+a*r)+",0h"+n*r},V.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||"",a=function(t){return-1!==n.indexOf(t)},o=a("top"),l=a("left"),c=a("right"),u=a("bottom")||l||o||c,f=a("inside"),h="inside"===n&&"inside"===t.ticks||!f&&"outside"===t.ticks&&"boundaries"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if("x"===A)b=(_=!f&&"bottom"===k||f&&"top"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=B:x=-90===M&&"bottom"===k?N:90===M&&"top"===k?B:.5,T=B/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return"end";if(c)return"start"}return i(e)&&0!==e&&180!==e?e*b<0!==f?"end":"start":"middle"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:"top"===t.side!==f?-n:0};else if("y"===A){if(b=(_=!f&&"left"===k||f&&"right"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&"left"===k||90===M&&"right"===k?N:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*N*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*B},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?"middle":_?"end":"start"},w.heightFn=function(e,r,n){return"right"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},V.drawTicks=function(t,e,r){r=r||{};var n=e._id+"tick",i=r.vals;"period"===e.ticklabelmode&&(i=i.slice()).shift();var a=r.layer.selectAll("path."+n).data(e.ticks?i:[],mt);a.exit().remove(),a.enter().append("path").classed(n,1).classed("ticks",1).classed("crisp",!1!==r.crisp).call(f.stroke,e.tickcolor).style("stroke-width",h.crispRound(t,e.tickwidth,1)+"px").attr("d",r.path).style("display",null),Et(e,[D]),a.attr("transform",r.transFn)},V.drawGrid=function(t,e,r){r=r||{};var n=e._id+"grid",i=r.vals,a=r.counterAxis;if(!1===e.showgrid)i=[];else if(a&&V.shouldShowZeroLine(t,e,a))for(var o="array"===e.tickmode,s=0;s<i.length;s++){var l=i[s].x;if(o?!l:Math.abs(l)<e.dtick/100){if(i=i.slice(0,s).concat(i.slice(s+1)),!o)break;s--}}var c=r.layer.selectAll("path."+n).data(i,mt);c.exit().remove(),c.enter().append("path").classed(n,1).classed("crisp",!1!==r.crisp),e._gw=h.crispRound(t,e.gridwidth,1),c.attr("transform",r.transFn).attr("d",r.path).call(f.stroke,e.gridcolor||"#ddd").style("stroke-width",e._gw+"px").style("display",null),Et(e,[z]),"function"==typeof r.path&&c.attr("d",r.path)},V.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+"zl",i=V.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll("path."+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append("path").classed(n,1).classed("zl",1).classed("crisp",!1!==r.crisp).each((function(){r.layer.selectAll("path").sort((function(t,e){return G(t.id,e.id)}))})),a.attr("transform",r.transFn).attr("d",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style("stroke-width",h.crispRound(t,e.zerolinewidth,e._gw||1)+"px").style("display",null),Et(e,[O])},V.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+"tick",p=r.vals,d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll("g."+f).data(e.showticklabels?p:[],mt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(".text-math-group"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?" rotate("+a+","+d.xFn(t)+","+(d.yFn(t)-t.fontSize/2)+")":""),p=c.lineCount(o),m=j*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select("text");v.attr({transform:f,"text-anchor":u}),v.style("opacity",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr("transform",f+l(y,0))}}))}v.enter().append("g").classed(f,1).append("text").attr("text-anchor","middle").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),Et(e,[R]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select("text").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&"allow"!==r){var i=-1!==r.indexOf("hide"),o="x"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf("domain")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var r=n.select(this);if(r.select(".text-math-group").empty()){var a=h.bBox(r.node()),s=0;o?(a.right>p||a.left<f)&&(s=1):(a.bottom>p||a.top+(e.tickangle?0:t.fontSize/4)<f)&&(s=1);var l=r.select("text");s?i&&l.style("opacity",0):(l.style("opacity",1),m="bottom"===d||"right"===d?Math.min(m,o?a.top:a.left):-1/0,g="top"===d||"left"===d?Math.max(g,o?a.bottom:a.right):1/0)}})),a._plots){var x=a._plots[y];if(e._id===x.xaxis._id||e._id===x.yaxis._id){var b=o?x.yaxis:x.xaxis;b&&(b["_visibleLabelMin_"+e._id]=m,b["_visibleLabelMax_"+e._id]=g)}}}},e._hideCounterAxisInsideTickLabels=function(t){var r="x"===e._id.charAt(0),i=[];for(var o in a._plots){var s=a._plots[o];e._id!==s.xaxis._id&&e._id!==s.yaxis._id||i.push(r?s.yaxis:s.xaxis)}i.forEach((function(r,i){r&&St(r)&&(t||[O,z,D,R]).forEach((function(t){var o="tick"===t.K&&"text"===t.L&&"period"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll("."+e._id+"zl"):t.K===z.K?s.gridlayer.selectAll("."+e._id):s[e._id.charAt(0)+"axislayer"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?dt(a):a.x)+e._offset,l=n.select(this);s<e["_visibleLabelMax_"+r._id]&&s>e["_visibleLabelMin_"+r._id]?l.style("display","none"):"tick"!==t.K||i||l.style("display",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&"x"===u&&!i(m)&&("log"!==e.type||"D"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var r=e.l2p(t.x),i=yt(this),o=h.bBox(i.node());a.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})})),"boundaries"!==e.tickson&&!e.showdividers||r.secondary){var o=p.length,l=Math.abs((p[o-1].x-p[0].x)*e._m)/(o-1),c=e.ticklabelposition||"",f=function(t){return-1!==c.indexOf(t)},d=f("top"),g=f("left"),y=f("right"),_=f("bottom")||g||d||y?(e.tickwidth||0)+6:0,w=l<2.5*n||"multicategory"===e.type||"realaxis"===e._name;for(t=0;t<a.length-1;t++)if(s.bBoxIntersect(a[t],a[t+1],_)){b=w?90:30;break}}else{var T=2;for(e.ticks&&(T+=e.tickwidth/2),t=0;t<a.length;t++){var k=p[t].xbnd,A=a[t];if(null!==k[0]&&A.left-e.l2p(k[0])<T||null!==k[1]&&e.l2p(k[1])-A.right<T){b=90;break}}}b&&x(v,b)}})),e._tickAngles&&_.push((function(){e._tickAngles[f]=null===b?i(m)?m:0:b}));var w=e._anchorAxis;w&&w.autorange&&St(e)&&!Y(a,e._id)&&(a._insideTickLabelsAutorange||(a._insideTickLabelsAutorange={}),a._insideTickLabelsAutorange[w._name+".autorange"]=w.autorange,_.push((function(){v.each((function(t,r){var n=yt(this);n.select(".text-math-group").empty()&&(e._vals[r].bb=h.bBox(n.node()))}))})));var T=s.syncOrAsync(_);return T&&T.then&&t._promises.push(T),T},V.getPxPosition=function(t,e){var r,n=t._fullLayout._size,i=e._id.charAt(0),a=e.side;return"free"!==e.anchor?r=e._anchorAxis:"x"===i?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:"y"===i&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),"top"===a||"left"===a?r._offset:"bottom"===a||"right"===a?r._offset+r._length:void 0},V.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&("linear"===e.type||"-"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===I)&&(vt(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(!i)return;var a=t._fullLayout,o=e._id.charAt(0),s=V.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==("x"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return"number"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var i=t._linepositions||{};for(var a in i)if(n(i[a][0])||n(i[a][1]))return!0}var u=a._plots[r._mainSubplot];if(!(u.mainplotinfo||u).overlays.length)return c(r);for(var f=V.list(t,s),h=0;h<f.length;h++){var p=f[h];if(p._mainAxis===i&&c(p))return!0}}(t,e,r,n)||function(t,e){for(var r=t._fullData,n=e._mainSubplot,i=e._id.charAt(0),a=0;a<r.length;a++){var s=r[a];if(!0===s.visible&&s.xaxis+s.yaxis===n){if(o.traceIs(s,"bar-like")&&s.orientation==={x:"h",y:"v"}[i])return!0;if(s.fill&&s.fill.charAt(s.fill.length-1)===i)return!0}}return!1}(t,e))},V.clipEnds=function(t,e){return e.filter((function(e){return vt(t,e.x)}))},V.allowAutoMargin=function(t){for(var e=V.list(t,"",!0),r=0;r<e.length;r++){var n=e[r];n.automargin&&(a.allowAutoMargin(t,xt(n)),n.mirror&&a.allowAutoMargin(t,bt(n))),o.getComponentMethod("rangeslider","isVisible")(n)&&a.allowAutoMargin(t,_t(n))}},V.swap=function(t,e){for(var r=function(t,e){var r,n,i=[];for(r=0;r<e.length;r++){var a=[],o=t._fullData[e[r]].xaxis,s=t._fullData[e[r]].yaxis;if(o&&s){for(n=0;n<i.length;n++)-1===i[n].x.indexOf(o)&&-1===i[n].y.indexOf(s)||a.push(n);if(a.length){var l,c=i[a[0]];if(a.length>1)for(n=1;n<a.length;n++)l=i[a[n]],wt(c.x,l.x),wt(c.y,l.y);wt(c.x,[o]),wt(c.y,[s])}else i.push({x:[o],y:[s]})}}return i}(t,e),n=0;n<r.length;n++)Tt(t,r[n].x,r[n].y)}},{"../../components/color":361,"../../components/drawing":383,"../../components/titles":459,"../../constants/alignment":466,"../../constants/numerical":474,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/plots":614,"../../registry":633,"./autorange":548,"./axis_autotype":550,"./axis_ids":553,"./clean_ticks":555,"./layout_attributes":564,"./set_convert":571,"@plotly/d3":58,"fast-isnumeric":185}],550:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM,o=i.isArrayOrTypedArray,s=i.isDateTime,l=i.cleanNumber,c=Math.round;function u(t,e){return e?n(t):"number"==typeof t}function f(t){return Math.max(1,(t-1)/1e3)}e.exports=function(t,e,r){var i=t,h=r.noMultiCategory;if(o(i)&&!i.length)return"-";if(!h&&function(t){return o(t[0])&&o(t[1])}(i))return"multicategory";if(h&&Array.isArray(i[0])){for(var p=[],d=0;d<i.length;d++)if(o(i[d]))for(var m=0;m<i[d].length;m++)p.push(i[d][m]);i=p}if(function(t,e){for(var r=t.length,i=f(r),a=0,o=0,l={},u=0;u<r;u+=i){var h=c(u),p=t[h],d=String(p);l[d]||(l[d]=1,s(p,e)&&a++,n(p)&&o++)}return a>2*o}(i,e))return"date";var g="strict"!==r.autotypenumbers;return function(t,e){for(var r=t.length,n=f(r),i=0,o=0,s={},u=0;u<r;u+=n){var h=c(u),p=t[h],d=String(p);if(!s[d]){s[d]=1;var m=typeof p;"boolean"===m?o++:(e?l(p)!==a:"number"===m)?i++:"string"===m&&o++}}return o>2*i}(i,g)?"category":function(t,e){for(var r=t.length,n=0;n<r;n++)if(u(t[n],e))return!0;return!1}(i,g)?"linear":"-"}},{"../../constants/numerical":474,"../../lib":498,"fast-isnumeric":185}],551:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../registry"),a=t("../../lib"),o=t("../array_container_defaults"),s=t("./layout_attributes"),l=t("./tick_value_defaults"),c=t("./tick_mark_defaults"),u=t("./tick_label_defaults"),f=t("./prefix_suffix_defaults"),h=t("./category_order_defaults"),p=t("./line_grid_defaults"),d=t("./set_convert"),m=t("./constants").WEEKDAY_PATTERN,g=t("./constants").HOUR_PATTERN;function v(t,e,r){function i(r,n){return a.coerce(t,e,s.rangebreaks,r,n)}if(i("enabled")){var o=i("bounds");if(o&&o.length>=2){var l,c,u="";if(2===o.length)for(l=0;l<2;l++)if(c=x(o[l])){u=m;break}var f=i("pattern",u);if(f===m)for(l=0;l<2;l++)(c=x(o[l]))&&(e.bounds[l]=o[l]=c-1);if(f)for(l=0;l<2;l++)switch(c=o[l],f){case m:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var h=r.range;if(h[0]<h[1]){if(o[0]<h[0]&&o[1]>h[1])return void(e.enabled=!1)}else if(o[0]>h[0]&&o[1]<h[1])return void(e.enabled=!1)}}else{var p=i("values");if(!p||!p.length)return void(e.enabled=!1);i("dvalue")}}}e.exports=function(t,e,r,n,g){var y,x=n.letter,b=n.font||{},_=n.splomStash||{},w=r("visible",!n.visibleDflt),T=e._template||{},k=e.type||T.type||"-";"date"===k&&(i.getComponentMethod("calendars","handleDefaults")(t,e,"calendar",n.calendar),n.noTicklabelmode||(y=r("ticklabelmode")));var A="";n.noTicklabelposition&&"multicategory"!==k||(A=a.coerce(t,e,{ticklabelposition:{valType:"enumerated",dflt:"outside",values:"period"===y?["outside","inside"]:"x"===x?["outside","inside","outside left","inside left","outside right","inside right"]:["outside","inside","outside top","inside top","outside bottom","inside bottom"]}},"ticklabelposition")),n.noTicklabeloverflow||r("ticklabeloverflow",-1!==A.indexOf("inside")?"hide past domain":"category"===k||"multicategory"===k?"allow":"hide past div"),d(e,g);var M=!e.isValidRange(t.range);M&&n.reverseDflt&&(M="reversed"),!r("autorange",M)||"linear"!==k&&"-"!==k||r("rangemode"),r("range"),e.cleanRange(),h(t,e,r,n),"category"===k||n.noHover||r("hoverformat");var S=r("color"),E=S!==s.color.dflt?S:b.color,L=_.label||g._dfltTitle[x];if(f(t,e,r,k,n),!w)return e;r("title.text",L),a.coerceFont(r,"title.font",{family:b.family,size:a.bigFont(b.size),color:E}),l(t,e,r,k),u(t,e,r,k,n),c(t,e,r,n),p(t,e,r,{dfltColor:S,bgColor:n.bgColor,showGrid:n.showGrid,attributes:s}),(e.showline||e.ticks)&&r("mirror"),n.automargin&&r("automargin");var C,P="multicategory"===k;n.noTickson||"category"!==k&&!P||!e.ticks&&!e.showgrid||(P&&(C="boundaries"),"boundaries"===r("tickson",C)&&delete e.ticklabelposition);P&&(r("showdividers")&&(r("dividercolor"),r("dividerwidth")));if("date"===k)if(o(t,e,{name:"rangebreaks",inclusionAttr:"enabled",handleItemDefaults:v}),e.rangebreaks.length){for(var I=0;I<e.rangebreaks.length;I++)if(e.rangebreaks[I].pattern===m){e._hasDayOfWeekBreaks=!0;break}if(d(e,g),g._has("scattergl")||g._has("splom"))for(var O=0;O<n.data.length;O++){var z=n.data[O];"scattergl"!==z.type&&"splom"!==z.type||(z.visible=!1,a.warn(z.type+" traces do not work on axes with rangebreaks. Setting trace "+z.index+" to `visible: false`."))}}else delete e.rangebreaks;return e};var y={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function x(t){if("string"==typeof t)return y[t.substr(0,3).toLowerCase()]}},{"../../lib":498,"../../registry":633,"../array_container_defaults":544,"./category_order_defaults":554,"./constants":556,"./layout_attributes":564,"./line_grid_defaults":566,"./prefix_suffix_defaults":568,"./set_convert":571,"./tick_label_defaults":573,"./tick_mark_defaults":574,"./tick_value_defaults":575,"fast-isnumeric":185}],552:[function(t,e,r){"use strict";var n=t("../../constants/docs"),i=n.FORMAT_LINK,a=n.DATE_FORMAT_LINK;function o(t,e){return["Sets the "+t+" formatting rule"+(e?"for `"+e+"` ":""),"using d3 formatting mini-languages","which are very similar to those in Python. For numbers, see: "+i+"."].join(" ")}function s(t,e){return o(t,e)+[" And for dates see: "+a+".","We add two items to d3's date formatter:","*%h* for half of the year as a decimal number as well as","*%{n}f* for fractional seconds","with n digits. For example, *2016-10-13 09:15:23.456* with tickformat","*%H~%M~%S.%2f* would display *09~15~23.46*"].join(" ")}e.exports={axisHoverFormat:function(t,e){return{valType:"string",dflt:"",editType:"none",description:(e?o:s)("hover text",t)+["By default the values are formatted using "+(e?"generic number format":"`"+t+"axis.hoverformat`")+"."].join(" ")}},descriptionOnlyNumbers:o,descriptionWithDates:s}},{"../../constants/docs":469}],553:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./constants");function a(t,e){if(e&&e.length)for(var r=0;r<e.length;r++)if(e[r][t])return!0;return!1}r.id2name=function(t){if("string"==typeof t&&t.match(i.AX_ID_PATTERN)){var e=t.split(" ")[0].substr(1);return"1"===e&&(e=""),t.charAt(0)+"axis"+e}},r.name2id=function(t){if(t.match(i.AX_NAME_PATTERN)){var e=t.substr(5);return"1"===e&&(e=""),t.charAt(0)+e}},r.cleanId=function(t,e,r){var n=/( domain)$/.test(t);if("string"==typeof t&&t.match(i.AX_ID_PATTERN)&&(!e||t.charAt(0)===e)&&(!n||r)){var a=t.split(" ")[0].substr(1).replace(/^0+/,"");return"1"===a&&(a=""),t.charAt(0)+a+(n&&r?" domain":"")}},r.list=function(t,e,n){var i=t._fullLayout;if(!i)return[];var a,o=r.listIds(t,e),s=new Array(o.length);for(a=0;a<o.length;a++){var l=o[a];s[a]=i[l.charAt(0)+"axis"+l.substr(1)]}if(!n){var c=i._subplots.gl3d||[];for(a=0;a<c.length;a++){var u=i[c[a]];e?s.push(u[e+"axis"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+"axis"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var i=t._fullLayout;return e=void 0===e||"string"!=typeof e?e:e.replace(" domain",""),"x"===n?e=e.replace(/y[0-9]*/,""):"y"===n&&(e=e.replace(/x[0-9]*/,"")),i[r.id2name(e)]},r.getFromTrace=function(t,e,i){var a=t._fullLayout,o=null;if(n.traceIs(e,"gl3d")){var s=e.scene;"scene"===s.substr(0,5)&&(o=a[s][i+"axis"])}else o=r.getFromId(t,e[i+"axis"]||i);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.ref2id=function(t){return!!/^[xyz]/.test(t)&&t.split(" ")[0]},r.isLinked=function(t,e){return a(e,t._axisMatchGroups)||a(e,t._axisConstraintGroups)}},{"../../registry":633,"./constants":556}],554:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){if("category"===e.type){var i,a=t.categoryarray,o=Array.isArray(a)&&a.length>0;o&&(i="array");var s,l=r("categoryorder",i);"array"===l&&(s=r("categoryarray")),o||"array"!==l||(l=e.categoryorder="trace"),"trace"===l?e._initialCategories=[]:"array"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,i,a=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[a+"axis"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][a];for(i=0;i<l.length;i++){var c=l[i];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),"category ascending"===l?e._initialCategories=s:"category descending"===l&&(e._initialCategories=s.reverse()))}}},{}],555:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical"),o=a.ONEDAY,s=a.ONEWEEK;r.dtick=function(t,e){var r="log"===e,i="date"===e,a="category"===e,s=i?o:1;if(!t)return s;if(n(t))return(t=Number(t))<=0?s:a?Math.max(1,Math.round(t)):i?Math.max(.1,t):t;if("string"!=typeof t||!i&&!r)return s;var l=t.charAt(0),c=t.substr(1);return(c=n(c)?Number(c):0)<=0||!(i&&"M"===l&&c===Math.round(c)||r&&"L"===l||r&&"D"===l&&(1===c||2===c))?s:t},r.tick0=function(t,e,r,a){return"date"===e?i.cleanDate(t,i.dateTick0(r,a%s==0?1:0)):"D1"!==a&&"D2"!==a?n(t)?Number(t):0:void 0}},{"../../constants/numerical":474,"../../lib":498,"fast-isnumeric":185}],556:[function(t,e,r){"use strict";var n=t("../../lib/regex").counter;e.exports={idRegex:{x:n("x","( domain)?"),y:n("y","( domain)?")},attrRegex:n("[xy]axis"),xAxisMatch:n("xaxis"),yAxisMatch:n("yaxis"),AX_ID_PATTERN:/^[xyz][0-9]*( domain)?$/,AX_NAME_PATTERN:/^[xyz]axis[0-9]*$/,SUBPLOT_PATTERN:/^x([0-9]*)y([0-9]*)$/,HOUR_PATTERN:"hour",WEEKDAY_PATTERN:"day of week",MINDRAG:8,MINSELECT:12,MINZOOM:20,DRAGGERSIZE:20,BENDPX:1.5,REDRAWDELAY:50,SELECTDELAY:100,SELECTID:"-select",DFLTRANGEX:[-1,6],DFLTRANGEY:[-1,4],traceLayerClasses:["imagelayer","heatmaplayer","contourcarpetlayer","contourlayer","funnellayer","waterfalllayer","barlayer","carpetlayer","violinlayer","boxlayer","ohlclayer","scattercarpetlayer","scatterlayer"],clipOnAxisFalseQuery:[".scatterlayer",".barlayer",".funnellayer",".waterfalllayer"],layerValue2layerClass:{"above traces":"above","below traces":"below"}}},{"../../lib/regex":515}],557:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./autorange"),a=t("./axis_ids").id2name,o=t("./layout_attributes"),s=t("./scale_zoom"),l=t("./set_convert"),c=t("../../constants/numerical").ALMOST_EQUAL,u=t("../../constants/alignment").FROM_BL;function f(t,e,r){var i=r.axIds,s=r.layoutOut,l=r.hasImage,c=s._axisConstraintGroups,u=s._axisMatchGroups,f=e._id,m=f.charAt(0),g=((s._splomAxes||{})[m]||{})[f]||{},v=e._id,y="x"===v.charAt(0);function x(r,i){return n.coerce(t,e,o,r,i)}e._matchGroup=null,e._constraintGroup=null,x("constrain",l?"domain":"range"),n.coerce(t,e,{constraintoward:{valType:"enumerated",values:y?["left","center","right"]:["bottom","middle","top"],dflt:y?"center":"middle"}},"constraintoward");var b,_,w=e.type,T=[];for(b=0;b<i.length;b++){if((_=i[b])!==v)s[a(_)].type===w&&T.push(_)}var k=p(c,v);if(k){var A=[];for(b=0;b<T.length;b++)k[_=T[b]]||A.push(_);T=A}var M,S,E=T.length;E&&(t.matches||g.matches)&&(M=n.coerce(t,e,{matches:{valType:"enumerated",values:T,dflt:-1!==T.indexOf(g.matches)?g.matches:void 0}},"matches"));var L=l&&!y?e.anchor:void 0;if(E&&!M&&(t.scaleanchor||L)&&(S=n.coerce(t,e,{scaleanchor:{valType:"enumerated",values:T}},"scaleanchor",L)),M){e._matchGroup=d(u,v,M,1);var C=s[a(M)],P=h(s,e)/h(s,C);y!==("x"===M.charAt(0))&&(P=(y?"x":"y")+P),d(c,v,M,P)}else t.matches&&-1!==i.indexOf(t.matches)&&n.warn("ignored "+e._name+'.matches: "'+t.matches+'" to avoid an infinite loop');if(S){var I=x("scaleratio");I||(I=e.scaleratio=1),d(c,v,S,I)}else t.scaleanchor&&-1!==i.indexOf(t.scaleanchor)&&n.warn("ignored "+e._name+'.scaleanchor: "'+t.scaleanchor+'" to avoid either an infinite loop and possibly inconsistent scaleratios, or because this axis declares a *matches* constraint.')}function h(t,e){var r=e.domain;return r||(r=t[a(e.overlaying)].domain),r[1]-r[0]}function p(t,e){for(var r=0;r<t.length;r++)if(t[r][e])return t[r];return null}function d(t,e,r,n){var i,a,o,s,l,c=p(t,e);null===c?((c={})[e]=1,l=t.length,t.push(c)):l=t.indexOf(c);var u=Object.keys(c);for(i=0;i<t.length;i++)if(o=t[i],i!==l&&o[r]){var f=o[r];for(a=0;a<u.length;a++)o[s=u[a]]=m(f,m(n,c[s]));return void t.splice(l,1)}if(1!==n)for(a=0;a<u.length;a++){var h=u[a];c[h]=m(n,c[h])}c[r]=1}function m(t,e){var r,n,i="",a="";"string"==typeof t&&(r=(i=t.match(/^[xy]*/)[0]).length,t=+t.substr(r)),"string"==typeof e&&(n=(a=e.match(/^[xy]*/)[0]).length,e=+e.substr(n));var o=t*e;return r||n?r&&n&&i.charAt(0)!==a.charAt(0)?r===n?o:(r>n?i.substr(n):a.substr(r))+o:i+a+t*e:o}function g(t,e){for(var r=e._size,n=r.h/r.w,i={},a=Object.keys(t),o=0;o<a.length;o++){var s=a[o],l=t[s];if("string"==typeof l){var c=l.match(/^[xy]*/)[0],u=c.length;l=+l.substr(u);for(var f="y"===c.charAt(0)?n:1/n,h=0;h<u;h++)l*=f}i[s]=l}return i}function v(t,e){var r=t._inputDomain,n=u[t.constraintoward],i=r[0]+(r[1]-r[0])*n;t.domain=t._input.domain=[i+(r[0]-i)/e,i+(r[1]-i)/e],t.setScale()}r.handleDefaults=function(t,e,r){var i,o,s,c,u,h,p,d,m=r.axIds,g=r.axHasImage,v=e._axisConstraintGroups=[],y=e._axisMatchGroups=[];for(i=0;i<m.length;i++)f(u=t[c=a(m[i])],h=e[c],{axIds:m,layoutOut:e,hasImage:g[c]});function x(t,r){for(i=0;i<t.length;i++)for(s in o=t[i])e[a(s)][r]=o}for(x(y,"_matchGroup"),i=0;i<v.length;i++)for(s in o=v[i])if((h=e[a(s)]).fixedrange){for(var b in o){var _=a(b);!1===(t[_]||{}).fixedrange&&n.warn("fixedrange was specified as false for axis "+_+" but was overridden because another axis in its constraint group has fixedrange true"),e[_].fixedrange=!0}break}for(i=0;i<v.length;){for(s in o=v[i]){(h=e[a(s)])._matchGroup&&Object.keys(h._matchGroup).length===Object.keys(o).length&&(v.splice(i,1),i--);break}i++}x(v,"_constraintGroup");var w=["constrain","range","autorange","rangemode","rangebreaks","categoryorder","categoryarray"],T=!1,k=!1;function A(){d=h[p],"rangebreaks"===p&&(k=h._hasDayOfWeekBreaks)}for(i=0;i<y.length;i++){o=y[i];for(var M=0;M<w.length;M++){var S;for(s in p=w[M],d=null,o)if(u=t[c=a(s)],h=e[c],p in h){if(!h.matches&&(S=h,p in u)){A();break}null===d&&p in u&&A()}if("range"===p&&d&&(T=!0),"autorange"===p&&null===d&&T&&(d=!1),null===d&&p in S&&(d=S[p]),null!==d)for(s in o)(h=e[a(s)])[p]="range"===p?d.slice():d,"rangebreaks"===p&&(h._hasDayOfWeekBreaks=k,l(h,e))}}},r.enforce=function(t){var e,r,n,o,l,u,f,h,p=t._fullLayout,d=p._axisConstraintGroups||[];for(e=0;e<d.length;e++){n=g(d[e],p);var m=Object.keys(n),y=1/0,x=0,b=1/0,_={},w={},T=!1;for(r=0;r<m.length;r++)w[o=m[r]]=l=p[a(o)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),_[o]=u=Math.abs(l._m)/n[o],y=Math.min(y,u),"domain"!==l.constrain&&l._constraintShrinkable||(b=Math.min(b,u)),delete l._constraintShrinkable,x=Math.max(x,u),"domain"===l.constrain&&(T=!0);if(!(y>c*x)||T)for(r=0;r<m.length;r++)if(u=_[o=m[r]],f=(l=w[o]).constrain,u!==b||"domain"===f)if(h=u/b,"range"===f)s(l,h);else{var k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,I=Math.abs(E-L),O=L-I*h*1.0001,z=L+I*h*1.0001,D=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);v(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-D(U[B])/N)>O&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<z&&F>P&&(P=F);h/=(P-C)/(2*I),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}v(l,h)}}},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return"g"+n}return e},r.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&"domain"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},{"../../constants/alignment":466,"../../constants/numerical":474,"../../lib":498,"./autorange":548,"./axis_ids":553,"./layout_attributes":564,"./scale_zoom":569,"./set_convert":571}],558:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("tinycolor2"),s=t("has-passive-events"),l=t("../../registry"),c=i.strTranslate,u=t("../../lib/svg_text_utils"),f=t("../../components/color"),h=t("../../components/drawing"),p=t("../../components/fx"),d=t("./axes"),m=t("../../lib/setcursor"),g=t("../../components/dragelement"),v=t("../../components/dragelement/helpers"),y=v.selectingOrDrawing,x=v.freeMode,b=t("../../constants/alignment").FROM_TL,_=t("../../lib/clear_gl_canvases"),w=t("../../plot_api/subroutines").redrawReglTraces,T=t("../plots"),k=t("./axis_ids").getFromId,A=t("./select").prepSelect,M=t("./select").clearSelect,S=t("./select").selectOnClick,E=t("./scale_zoom"),L=t("./constants"),C=L.MINDRAG,P=L.MINZOOM,I=!0;function O(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed("drag",!0).style({fill:"transparent","stroke-width":0}).attr("data-subplot",t.id)}));return a.call(m,n),a.node()}function z(t,e,r,i,a,o,s){var l=O(t,"rect",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function D(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return""}function R(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var s="y"===o._id.charAt(0),l=s?1-e:e,c=s?1-r:r;n[o._name+".range[0]"]=o.l2r(o.p2l(l*o._length)),n[o._name+".range[1]"]=o.l2r(o.p2l(c*o._length))}else{var u=o._rl[0],f=o._rl[1]-u;n[o._name+".range[0]"]=o.l2r(u+f*e),n[o._name+".range[1]"]=o.l2r(u+f*r)}}if(i&&i.length){var h=(e+(1-r))/2;R(i,h,1-h,n,[])}}function F(t,e){for(var r=0;r<t.length;r++){var n=t[r];if(!n.fixedrange)if(n.rangebreaks){var i=n._length,a=(n.p2l(0+e)-n.p2l(0)+(n.p2l(i+e)-n.p2l(i)))/2;n.range=[n.l2r(n._rl[0]-a),n.l2r(n._rl[1]-a)]}else n.range=[n.l2r(n._rl[0]-e/n._m),n.l2r(n._rl[1]-e/n._m)]}}function B(t){return 1-(t>=0?Math.min(t,.9):1/(1/Math.max(t,-.3)+3.222))}function N(t,e,r,n,i){return t.append("path").attr("class","zoombox").style({fill:e>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("transform",c(r,n)).attr("d",i+"Z")}function j(t,e,r){return t.append("path").attr("class","zoombox-corners").style({fill:f.background,stroke:f.defaultLine,"stroke-width":1,opacity:0}).attr("transform",c(e,r)).attr("d","M0,0Z")}function U(t,e,r,n,i,a){t.attr("d",n+"M"+r.l+","+r.t+"v"+r.h+"h"+r.w+"v-"+r.h+"h-"+r.w+"Z"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style("fill",n>.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),e.transition().style("opacity",1).duration(200))}function H(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}function q(t){I&&t.data&&t._context.showTips&&(i.notifier(i._(t,"Double-click to zoom back out"),"long"),I=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return"M"+(t.l-3.5)+","+(t.t-.5+e)+"h3v"+-e+"h"+e+"v-3h-"+(e+3)+"ZM"+(t.r+3.5)+","+(t.t-.5+e)+"h-3v"+-e+"h"+-e+"v-3h"+(e+3)+"ZM"+(t.r+3.5)+","+(t.b+.5-e)+"h-3v"+e+"h"+-e+"v3h"+(e+3)+"ZM"+(t.l-3.5)+","+(t.b+.5-e)+"h3v"+e+"h"+e+"v3h-"+(e+3)+"Z"}function Y(t,e,r,n,a){for(var o,s,l,c,u=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,m=0;m<e.length;m++){var g=e[m];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||("x"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(u=!0)}for(s in n)if(g[s])for(c in g)a&&(p[c]||d[c])||("x"===c.charAt(0)?r:n)[c]||(h[c]=s)}u&&(i.extendFlat(f,h),h={});var v={},y=[];for(l in f){var x=k(t,l);y.push(x),v[x._id]=x}var b={},_=[];for(c in h){var w=k(t,c);_.push(w),b[w._id]=w}return{xaHash:v,yaHash:b,xaxes:y,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:u}}function W(t,e){if(s){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}e.exports={makeDragBox:function(t,e,r,s,c,f,m,v){var I,O,V,Z,J,K,Q,$,tt,et,rt,nt,it,at,ot,st,lt,ct,ut,ft,ht,pt,dt,mt=t._fullLayout._zoomlayer,gt=m+v==="nsew",vt=1===(m+v).length;function yt(){if(I=e.xaxis,O=e.yaxis,tt=I._length,et=O._length,Q=I._offset,$=O._offset,(V={})[I._id]=I,(Z={})[O._id]=O,m&&v)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}J=X(V),K=X(Z),it=D(J,v),at=D(K,m),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=v||o,lt=m||o;var s=t._fullLayout;ct=s._has("scattergl"),ut=s._has("splom"),ft=s._has("svg")}yt();var xt=function(t,e,r){if(!t)return"pointer";if("nsew"===t)return r?"":"pan"===e?"move":"crosshair";return t.toLowerCase()+"-resize"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,m+v+"drag",xt,r,s,c,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents="none",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function It(){Pt.plotinfo.selection=!1,M(t)}function Ot(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||vt||qt(),gt)o.indexOf("select")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf("event")>-1&&p.click(i,r,e.id);else if(1===t&&vt){var s=m?O:I,c="s"===m||"w"===v?0:1,f=s._name+".range["+c+"]",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return"date"===t.type?n:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a("."+r+"g")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a("."+String(r)+"g")(n))}(s,c),d="left",g="middle";if(s.fixedrange)return;m?(g="n"===m?"top":"bottom","right"===s.side&&(d="right")):"e"===v&&(d="right"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(u.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:d,verticalAlign:g}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&l.call("_guiRelayout",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St="",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr("d","M0,0Z")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St="xy",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr("d",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St="xy";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),c=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=c*tt,Tt.b=(1-l)*et,Tt.t=(1-c)*et,Lt.attr("d",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St="x",Lt.attr("d",function(t,e){return"M"+(t.l-.5)+","+(e-P-.5)+"h-3v"+(2*P+1)+"h3ZM"+(t.r+.5)+","+(e-P-.5)+"h3v"+(2*P+1)+"h-3Z"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St="y",Lt.attr("d",function(t,e){return"M"+(e-P-.5)+","+(t.t-.5)+"v-3h"+(2*P+1)+"v3ZM"+(e-P-.5)+","+(t.b+.5)+"v3h"+(2*P+1)+"v-3Z"}(Tt,_t))):(St="xy",Lt.attr("d",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit("plotly_relayouting",ht),Mt=!0}function Dt(){ht={},"xy"!==St&&"x"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt("x",ht)),"xy"!==St&&"y"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt("y",ht))}function Rt(){Dt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?"pan"===s?s="zoom":y(s)||(s="pan"):e.ctrlKey&&(s="pan"):s="pan"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||("zoom"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St="xy",Ct=!1,Et=N(mt,kt,Q,$,At="M0,0H"+tt+"V"+et+"H0V0"),Lt=j(mt,Q,$)}(0,r,n)):"pan"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===it||"ns"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt("x")),at&&(F(K,r),Vt("y")),Yt([n,i,tt,et]),Ht(),void t.emit("plotly_relayouting",ht)}var o,s,l="w"===it==("n"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var c=(e/tt+l*r/et)/2;e=c*tt,r=l*c*et}if("w"===it?e=p(J,0,e):"e"===it?e=p(J,1,-e):it||(e=0),"n"===at?r=p(K,1,r):"s"===at?r=p(K,0,-r):at||(r=0),o="w"===it?e:0,s="n"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var u;if(nt.isSubplotConstrained||!it&&1===at.length){for(u=0;u<J.length;u++)J[u].range=J[u]._r.slice(),E(J[u],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(u=0;u<K.length;u++)K[u].range=K[u]._r.slice(),E(K[u],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt("x"),nt.isSubplotConstrained&&it||Vt("y");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit("plotly_relayouting",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+"axes"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+".range[0]"]=e[l._name+".range[0]"],e[a._name+".range[1]"]=e[l._name+".range[1]"]):a.range=l.range.slice())}}function Ht(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(st&&(n(J),n(rt.xaxes),n(nt.xaxes)),lt&&(n(K),n(rt.yaxes),n(nt.yaxes)),ht={},e=0;e<r.length;e++){var i=r[e],a=k(t,i);d.drawOne(t,a,{skipTitle:!0}),ht[a._name+".range[0]"]=a.range[0],ht[a._name+".range[1]"]=a.range[1]}d.redrawComponents(t,r)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if("reset+autosize"===e)for(e="autosize",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e="reset";break}if("autosize"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+".autorange"]=!0);else if("reset"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+".range[0]"]=a[0],o[n._name+".range[1]"]=a[1]):o[n._name+".autorange"]=!0);t.emit("plotly_doubleclick",null),l.call("_guiRelayout",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call("_guiRelayout",t,ht)}],t)}function Yt(e){var r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b="ns"===at?-e[1]*a._length/O._length:Zt(a,y,{n:"top",s:"bottom"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T="ew"===it?-e[0]*o._length/I._length:Zt(o,x,{e:"right",w:"left"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||"middle"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(".nsewdrag").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt("x"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt("y"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit("plotly_relayouting",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log("Did not find wheel motion attributes: ",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{"../../components/color":361,"../../components/dragelement":380,"../../components/dragelement/helpers":379,"../../components/drawing":383,"../../components/fx":401,"../../constants/alignment":466,"../../lib":498,"../../lib/clear_gl_canvases":482,"../../lib/setcursor":519,"../../lib/svg_text_utils":524,"../../plot_api/subroutines":539,"../../registry":633,"../plots":614,"./axes":549,"./axis_ids":553,"./constants":556,"./scale_zoom":569,"./select":570,"@plotly/d3":58,"has-passive-events":224,tinycolor2:307}],559:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/fx"),a=t("../../components/dragelement"),o=t("../../lib/setcursor"),s=t("./dragbox").makeDragBox,l=t("./constants").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(".drag").remove();else if(e._has("cartesian")||e._has("splom")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split("y"),i=r.split("y");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,"ns","ew");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,"n","w"),s(t,n,o._offset+o._length,c._offset-l,l,l,"n","e"),s(t,n,o._offset-l,c._offset+c._length,l,l,"s","w"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,"s","e"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;"top"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,"","ew"),s(t,n,o._offset,f,.1*o._length,l,"","w"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,"","e")}if(r===c._mainSubplot){var h=c._mainLinePosition;"right"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,"ns",""),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,"s",""),s(t,n,h,c._offset,l,.1*c._length,"n","")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r="pan"===e.dragmode?"move":"crosshair";o(e._draggers,r)}},{"../../components/dragelement":380,"../../components/fx":401,"../../lib/setcursor":519,"./constants":556,"./dragbox":558,"@plotly/d3":58}],560:[function(t,e,r){"use strict";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._drawing=!1}}},{}],561:[function(t,e,r){"use strict";var n=t("../../lib").strTranslate;function i(t,e){switch(t.type){case"log":return t.p2d(e);case"date":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case"log":return t.d2p(e);case"date":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e="y"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{"../../lib":498}],562:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./axis_ids");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has("cartesian")||r._has("gl2d"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,"x",!1),v=a.cleanId(m.yref,"y",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{"../../lib":498,"../../registry":633,"./axis_ids":553}],563:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../lib"),o=t("../plots"),s=t("../../components/drawing"),l=t("../get_data").getModuleCalcData,c=t("./axis_ids"),u=t("./constants"),f=t("../../constants/xmlns_namespaces"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+"layer",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push("."+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll("g.mlayer").data(g,(function(t){return t.className}));if(T.enter().append("g").attr("class",(function(t){return t.className})).classed("mlayer",!0).classed("rangeplot",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf("."+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has("scattergl")&&(c=i.getModule("scattergl"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(",")).selectAll(".trace")),v.length)){var k=e.plot.selectAll(v.join(",")).selectAll(".trace");e.zoomScalePts=k.selectAll("path.point"),e.zoomScaleTxt=k.selectAll(".textpoint")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+"-x",d=n+"-y";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,"path",f),h(s.overlinesBelow,"path",d),h(s.overaxesBelow,"g",f),h(s.overaxesBelow,"g",d),e.plot=h(s.overplot,"g",n),h(s.overlinesAbove,"path",f),h(s.overlinesAbove,"path",d),h(s.overaxesAbove,"g",f),h(s.overaxesAbove,"g",d),e.xlines=l.select(".overlines-"+i).select("."+f),e.ylines=l.select(".overlines-"+a).select("."+d),e.xaxislayer=l.select(".overaxes-"+i).select("."+f),e.yaxislayer=l.select(".overaxes-"+a).select("."+d)}else if(o)e.xlines=h(r,"path","xlines-above"),e.ylines=h(r,"path","ylines-above"),e.xaxislayer=h(r,"g","xaxislayer-above"),e.yaxislayer=h(r,"g","yaxislayer-above");else{var m=h(r,"g","layer-subplot");e.shapelayer=h(m,"g","shapelayer"),e.imagelayer=h(m,"g","imagelayer"),e.gridlayer=h(r,"g","gridlayer"),e.zerolinelayer=h(r,"g","zerolinelayer"),h(r,"path","xlines-below"),h(r,"path","ylines-below"),e.overlinesBelow=h(r,"g","overlines-below"),h(r,"g","xaxislayer-below"),h(r,"g","yaxislayer-below"),e.overaxesBelow=h(r,"g","overaxes-below"),e.plot=h(r,"g","plot"),e.overplot=h(r,"g","overplot"),e.xlines=h(r,"path","xlines-above"),e.ylines=h(r,"path","ylines-above"),e.overlinesAbove=h(r,"g","overlines-above"),h(r,"g","xaxislayer-above"),h(r,"g","yaxislayer-above"),e.overaxesAbove=h(r,"g","overaxes-above"),e.xlines=r.select(".xlines-"+i),e.ylines=r.select(".ylines-"+a),e.xaxislayer=r.select(".xaxislayer-"+i),e.yaxislayer=r.select(".yaxislayer-"+a)}o||(p(e.gridlayer,"g",e.xaxis._id),p(e.gridlayer,"g",e.yaxis._id),e.gridlayer.selectAll("g").map((function(t){return t[0]})).sort(c.idSort)),e.xlines.style("fill","none").classed("crisp",!0),e.ylines.style("fill","none").classed("crisp",!0)}function g(t,e){if(t){var r={};for(var i in t.each((function(t){var i=t[0];n.select(this).remove(),v(i,e),r[i]=!0})),e._plots)for(var a=e._plots[i].overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(".trace").remove()}}}function v(t,e){e._draggers.selectAll("g."+t).remove(),e._defs.select("#clip"+e._uid+t+"plot").remove()}r.name="cartesian",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=u.idRegex,r.attrRegex=u.attrRegex,r.attributes=t("./attributes"),r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.transitionAxes=t("./transition_axes"),r.finalizeSubplots=function(t,e){var r,n,i,o=e._subplots,s=o.xaxis,l=o.yaxis,f=o.cartesian,h=f.concat(o.gl2d||[]),p={},d={};for(r=0;r<h.length;r++){var m=h[r].split("y");p[m[0]]=1,d["y"+m[1]]=1}for(r=0;r<s.length;r++)p[n=s[r]]||(i=(t[c.id2name(n)]||{}).anchor,u.idRegex.y.test(i)||(i="y"),f.push(n+i),h.push(n+i),d[i]||(d[i]=1,a.pushUnique(l,i)));for(r=0;r<l.length;r++)d[i=l[r]]||(n=(t[c.id2name(i)]||{}).anchor,u.idRegex.x.test(n)||(n="x"),f.push(n+i),h.push(n+i),p[n]||(p[n]=1,a.pushUnique(s,n)));if(!h.length){for(var g in n="",i="",t){if(u.attrRegex.test(g))"x"===g.charAt(0)?(!n||+g.substr(5)<+n.substr(5))&&(n=g):(!i||+g.substr(5)<+i.substr(5))&&(i=g)}n=n?c.name2id(n):"x",i=i?c.name2id(i):"y",s.push(n),l.push(i),f.push(n+i)}},r.plot=function(t,e,r,n){var i,a=t._fullLayout,o=a._subplots.cartesian,s=t.calcdata;if(!Array.isArray(e))for(e=[],i=0;i<s.length;i++)e.push(i);for(i=0;i<o.length;i++){for(var l,c=o[i],u=a._plots[c],f=[],h=0;h<s.length;h++){var p=s[h],m=p[0].trace;m.xaxis+m.yaxis===c&&((-1!==e.indexOf(m.index)||m.carpet)&&(l&&l[0].trace.xaxis+l[0].trace.yaxis===c&&-1!==["tonextx","tonexty","tonext"].indexOf(m.fill)&&-1===f.indexOf(l)&&f.push(l),f.push(p)),l=p)}d(t,u,f,r,n)}},r.clean=function(t,e,r,n){var i,a,o,s=n._plots||{},l=e._plots||{},u=n._subplots||{};if(n._hasOnlyLargeSploms&&!e._hasOnlyLargeSploms)for(o in s)(i=s[o]).plotgroup&&i.plotgroup.remove();var f=n._has&&n._has("gl"),h=e._has&&e._has("gl");if(f&&!h)for(o in s)(i=s[o])._scene&&i._scene.destroy();if(u.xaxis&&u.yaxis){var p=c.listIds({_fullLayout:n});for(a=0;a<p.length;a++){var d=p[a];e[c.id2name(d)]||n._infolayer.selectAll(".g-"+d+"title").remove()}}var m=n._has&&n._has("cartesian"),y=e._has&&e._has("cartesian");if(m&&!y)g(n._cartesianlayer.selectAll(".subplot"),n),n._defs.selectAll(".axesclip").remove(),delete n._axisConstraintGroups,delete n._axisMatchGroups;else if(u.cartesian)for(a=0;a<u.cartesian.length;a++){var x=u.cartesian[a];if(!l[x]){var b="."+x+",."+x+"-x,."+x+"-y";n._cartesianlayer.selectAll(b).remove(),v(x,n)}}},r.drawFramework=function(t){var e=t._fullLayout,r=function(t){var e,r,n,i,a,o,s=t._fullLayout,l=s._subplots.cartesian,c=l.length,u=[],f=[];for(e=0;e<c;e++){n=l[e],i=s._plots[n],a=i.xaxis,o=i.yaxis;var h=a._mainAxis,p=o._mainAxis,d=h._id+p._id,m=s._plots[d];i.overlays=[],d!==n&&m?(i.mainplot=d,i.mainplotinfo=m,f.push(n)):(i.mainplot=void 0,i.mainplotinfo=void 0,u.push(n))}for(e=0;e<f.length;e++)n=f[e],(i=s._plots[n]).mainplotinfo.overlays.push(i);var g=u.concat(f),v=new Array(c);for(e=0;e<c;e++){n=g[e],i=s._plots[n],a=i.xaxis,o=i.yaxis;var y=[n,a.layer,o.layer,a.overlaying||"",o.overlaying||""];for(r=0;r<i.overlays.length;r++)y.push(i.overlays[r].id);v[e]=y}return v}(t),i=e._cartesianlayer.selectAll(".subplot").data(r,String);i.enter().append("g").attr("class",(function(t){return"subplot "+t[0]})),i.order(),i.exit().call(g,e),i.each((function(r){var i=r[0],a=e._plots[i];a.plotgroup=n.select(this),m(t,a),a.draglayer=h(e._draggers,"g",i)}))},r.rangePlot=function(t,e,r){m(t,e),d(t,e,r),o.style(t)},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:f.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.style.width,height:this.style.height})}))},r.updateFx=t("./graph_interact").updateFx},{"../../components/drawing":383,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../registry":633,"../get_data":588,"../plots":614,"./attributes":547,"./axis_ids":553,"./constants":556,"./graph_interact":559,"./layout_attributes":564,"./layout_defaults":565,"./transition_axes":576,"@plotly/d3":58}],564:[function(t,e,r){"use strict";var n=t("../font_attributes"),i=t("../../components/color/attributes"),a=t("../../components/drawing/attributes").dash,o=t("../../lib/extend").extendFlat,s=t("../../plot_api/plot_template").templatedArray,l=t("../../plots/cartesian/axis_format_attributes").descriptionWithDates,c=t("../../constants/numerical").ONEDAY,u=t("./constants"),f=u.HOUR_PATTERN,h=u.WEEKDAY_PATTERN;e.exports={visible:{valType:"boolean",editType:"plot"},color:{valType:"color",dflt:i.defaultLine,editType:"ticks"},title:{text:{valType:"string",editType:"ticks"},font:n({editType:"ticks"}),standoff:{valType:"number",min:0,editType:"ticks"},editType:"ticks"},type:{valType:"enumerated",values:["-","linear","log","date","category","multicategory"],dflt:"-",editType:"calc",_noTemplating:!0},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc"},autorange:{valType:"enumerated",values:[!0,!1,"reversed"],dflt:!0,editType:"axrange",impliedEdits:{"range[0]":void 0,"range[1]":void 0}},rangemode:{valType:"enumerated",values:["normal","tozero","nonnegative"],dflt:"normal",editType:"plot"},range:{valType:"info_array",items:[{valType:"any",editType:"axrange",impliedEdits:{"^autorange":!1},anim:!0},{valType:"any",editType:"axrange",impliedEdits:{"^autorange":!1},anim:!0}],editType:"axrange",impliedEdits:{autorange:!1},anim:!0},fixedrange:{valType:"boolean",dflt:!1,editType:"calc"},scaleanchor:{valType:"enumerated",values:[u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"plot"},scaleratio:{valType:"number",min:0,dflt:1,editType:"plot"},constrain:{valType:"enumerated",values:["range","domain"],editType:"plot"},constraintoward:{valType:"enumerated",values:["left","center","right","top","middle","bottom"],editType:"plot"},matches:{valType:"enumerated",values:[u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"calc"},rangebreaks:s("rangebreak",{enabled:{valType:"boolean",dflt:!0,editType:"calc"},bounds:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc"},pattern:{valType:"enumerated",values:[h,f,""],editType:"calc"},values:{valType:"info_array",freeLength:!0,editType:"calc",items:{valType:"any",editType:"calc"}},dvalue:{valType:"number",editType:"calc",min:0,dflt:c},editType:"calc"}),tickmode:{valType:"enumerated",values:["auto","linear","array"],editType:"ticks",impliedEdits:{tick0:void 0,dtick:void 0}},nticks:{valType:"integer",min:0,dflt:0,editType:"ticks"},tick0:{valType:"any",editType:"ticks",impliedEdits:{tickmode:"linear"}},dtick:{valType:"any",editType:"ticks",impliedEdits:{tickmode:"linear"}},ticklabelstep:{valType:"integer",min:1,dflt:1,editType:"ticks"},tickvals:{valType:"data_array",editType:"ticks"},ticktext:{valType:"data_array",editType:"ticks"},ticks:{valType:"enumerated",values:["outside","inside",""],editType:"ticks"},tickson:{valType:"enumerated",values:["labels","boundaries"],dflt:"labels",editType:"ticks"},ticklabelmode:{valType:"enumerated",values:["instant","period"],dflt:"instant",editType:"ticks"},ticklabelposition:{valType:"enumerated",values:["outside","inside","outside top","inside top","outside left","inside left","outside right","inside right","outside bottom","inside bottom"],dflt:"outside",editType:"calc"},ticklabeloverflow:{valType:"enumerated",values:["allow","hide past div","hide past domain"],editType:"calc"},mirror:{valType:"enumerated",values:[!0,"ticks",!1,"all","allticks"],dflt:!1,editType:"ticks+layoutstyle"},ticklen:{valType:"number",min:0,dflt:5,editType:"ticks"},tickwidth:{valType:"number",min:0,dflt:1,editType:"ticks"},tickcolor:{valType:"color",dflt:i.defaultLine,editType:"ticks"},showticklabels:{valType:"boolean",dflt:!0,editType:"ticks"},automargin:{valType:"boolean",dflt:!1,editType:"ticks"},showspikes:{valType:"boolean",dflt:!1,editType:"modebar"},spikecolor:{valType:"color",dflt:null,editType:"none"},spikethickness:{valType:"number",dflt:3,editType:"none"},spikedash:o({},a,{dflt:"dash",editType:"none"}),spikemode:{valType:"flaglist",flags:["toaxis","across","marker"],dflt:"toaxis",editType:"none"},spikesnap:{valType:"enumerated",values:["data","cursor","hovered data"],dflt:"hovered data",editType:"none"},tickfont:n({editType:"ticks"}),tickangle:{valType:"angle",dflt:"auto",editType:"ticks"},tickprefix:{valType:"string",dflt:"",editType:"ticks"},showtickprefix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"ticks"},ticksuffix:{valType:"string",dflt:"",editType:"ticks"},showticksuffix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"ticks"},showexponent:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"ticks"},exponentformat:{valType:"enumerated",values:["none","e","E","power","SI","B"],dflt:"B",editType:"ticks"},minexponent:{valType:"number",dflt:3,min:0,editType:"ticks"},separatethousands:{valType:"boolean",dflt:!1,editType:"ticks"},tickformat:{valType:"string",dflt:"",editType:"ticks",description:l("tick label")},tickformatstops:s("tickformatstop",{enabled:{valType:"boolean",dflt:!0,editType:"ticks"},dtickrange:{valType:"info_array",items:[{valType:"any",editType:"ticks"},{valType:"any",editType:"ticks"}],editType:"ticks"},value:{valType:"string",dflt:"",editType:"ticks"},editType:"ticks"}),hoverformat:{valType:"string",dflt:"",editType:"none",description:l("hover text")},showline:{valType:"boolean",dflt:!1,editType:"ticks+layoutstyle"},linecolor:{valType:"color",dflt:i.defaultLine,editType:"layoutstyle"},linewidth:{valType:"number",min:0,dflt:1,editType:"ticks+layoutstyle"},showgrid:{valType:"boolean",editType:"ticks"},gridcolor:{valType:"color",dflt:i.lightLine,editType:"ticks"},gridwidth:{valType:"number",min:0,dflt:1,editType:"ticks"},zeroline:{valType:"boolean",editType:"ticks"},zerolinecolor:{valType:"color",dflt:i.defaultLine,editType:"ticks"},zerolinewidth:{valType:"number",dflt:1,editType:"ticks"},showdividers:{valType:"boolean",dflt:!0,editType:"ticks"},dividercolor:{valType:"color",dflt:i.defaultLine,editType:"ticks"},dividerwidth:{valType:"number",dflt:1,editType:"ticks"},anchor:{valType:"enumerated",values:["free",u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"plot"},side:{valType:"enumerated",values:["top","bottom","left","right"],editType:"plot"},overlaying:{valType:"enumerated",values:["free",u.idRegex.x.toString(),u.idRegex.y.toString()],editType:"plot"},layer:{valType:"enumerated",values:["above traces","below traces"],dflt:"above traces",editType:"plot"},domain:{valType:"info_array",items:[{valType:"number",min:0,max:1,editType:"plot"},{valType:"number",min:0,max:1,editType:"plot"}],dflt:[0,1],editType:"plot"},position:{valType:"number",min:0,max:1,dflt:0,editType:"plot"},categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array","total ascending","total descending","min ascending","min descending","max ascending","max descending","sum ascending","sum descending","mean ascending","mean descending","median ascending","median descending"],dflt:"trace",editType:"calc"},categoryarray:{valType:"data_array",editType:"calc"},uirevision:{valType:"any",editType:"none"},editType:"calc",_deprecated:{autotick:{valType:"boolean",editType:"ticks"},title:{valType:"string",editType:"ticks"},titlefont:n({editType:"ticks"})}}},{"../../components/color/attributes":360,"../../components/drawing/attributes":382,"../../constants/numerical":474,"../../lib/extend":488,"../../plot_api/plot_template":538,"../../plots/cartesian/axis_format_attributes":552,"../font_attributes":580,"./constants":556}],565:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../components/fx/helpers").isUnifiedHover,o=t("../../components/fx/hovermode_defaults"),s=t("../../plot_api/plot_template"),l=t("../layout_attributes"),c=t("./layout_attributes"),u=t("./type_defaults"),f=t("./axis_defaults"),h=t("./constraints"),p=t("./position_defaults"),d=t("./axis_ids"),m=d.id2name,g=d.name2id,v=t("./constants").AX_ID_PATTERN,y=t("../../registry"),x=y.traceIs,b=y.getComponentMethod;function _(t,e,r){Array.isArray(t[e])?t[e].push(r):t[e]=[r]}e.exports=function(t,e,r){var y,w,T=e.autotypenumbers,k={},A={},M={},S={},E={},L={},C={},P={},I={},O={};for(y=0;y<r.length;y++){var z=r[y];if(x(z,"cartesian")||x(z,"gl2d")){var D,R;if(z.xaxis)D=m(z.xaxis),_(k,D,z);else if(z.xaxes)for(w=0;w<z.xaxes.length;w++)_(k,m(z.xaxes[w]),z);if(z.yaxis)R=m(z.yaxis),_(k,R,z);else if(z.yaxes)for(w=0;w<z.yaxes.length;w++)_(k,m(z.yaxes[w]),z);if("funnel"===z.type?"h"===z.orientation?(D&&(A[D]=!0),R&&(C[R]=!0)):R&&(M[R]=!0):"image"===z.type?(R&&(P[R]=!0),D&&(P[D]=!0)):(R&&(E[R]=!0,L[R]=!0),x(z,"carpet")&&("carpet"!==z.type||z._cheater)||D&&(S[D]=!0)),"carpet"===z.type&&z._cheater&&D&&(A[D]=!0),x(z,"2dMap")&&(I[D]=!0,I[R]=!0),x(z,"oriented"))O["h"===z.orientation?R:D]=!0}}var F=e._subplots,B=F.xaxis,N=F.yaxis,j=n.simpleMap(B,m),U=n.simpleMap(N,m),V=j.concat(U),H=i.background;B.length&&N.length&&(H=n.coerce(t,e,l,"plot_bgcolor"));var q,G,Y,W,X,Z=i.combine(H,e.paper_bgcolor);function J(){var t=k[q]||[];X._traceIndices=t.map((function(t){return t._expandedIndex})),X._annIndices=[],X._shapeIndices=[],X._imgIndices=[],X._subplotsWith=[],X._counterAxes=[],X._name=X._attr=q,X._id=G}function K(t,e){return n.coerce(W,X,c,t,e)}function Q(t,e){return n.coerce2(W,X,c,t,e)}function $(t){return"x"===t?N:B}function tt(e,r){for(var n="x"===e?j:U,i=[],a=0;a<n.length;a++){var o=n[a];o===r||(t[o]||{}).overlaying||i.push(g(o))}return i}var et={x:$("x"),y:$("y")},rt=et.x.concat(et.y),nt={},it=[];function at(){var t=W.matches;v.test(t)&&-1===rt.indexOf(t)&&(nt[t]=W.type,it=Object.keys(nt))}var ot=o(t,e),st=a(ot);for(y=0;y<V.length;y++){q=V[y],G=g(q),Y=q.charAt(0),n.isPlainObject(t[q])||(t[q]={}),W=t[q],X=s.newContainer(e,q,Y+"axis"),J();var lt="x"===Y&&!S[q]&&A[q]||"y"===Y&&!E[q]&&M[q],ct="y"===Y&&(!L[q]&&C[q]||P[q]),ut={letter:Y,font:e.font,outerTicks:I[q],showGrid:!O[q],data:k[q]||[],bgColor:Z,calendar:e.calendar,automargin:!0,visibleDflt:lt,reverseDflt:ct,autotypenumbersDflt:T,splomStash:((e._splomAxes||{})[Y]||{})[G]};K("uirevision",e.uirevision),u(W,X,K,ut),f(W,X,K,ut,e);var ft=st&&Y===ot.charAt(0),ht=Q("spikecolor",st?X.color:void 0),pt=Q("spikethickness",st?1.5:void 0),dt=Q("spikedash",st?"dot":void 0),mt=Q("spikemode",st?"across":void 0),gt=Q("spikesnap");K("showspikes",!!(ft||ht||pt||dt||mt||gt))||(delete X.spikecolor,delete X.spikethickness,delete X.spikedash,delete X.spikemode,delete X.spikesnap),p(W,X,K,{letter:Y,counterAxes:et[Y],overlayableAxes:tt(Y,q),grid:e.grid}),K("title.standoff"),at(),X._input=W}for(y=0;y<it.length;){G=it[y++],Y=(q=m(G)).charAt(0),n.isPlainObject(t[q])||(t[q]={}),W=t[q],X=s.newContainer(e,q,Y+"axis"),J();var vt={letter:Y,font:e.font,outerTicks:I[q],showGrid:!O[q],data:[],bgColor:Z,calendar:e.calendar,automargin:!0,visibleDflt:!1,reverseDflt:!1,autotypenumbersDflt:T,splomStash:((e._splomAxes||{})[Y]||{})[G]};K("uirevision",e.uirevision),X.type=nt[G]||"linear",f(W,X,K,vt,e),p(W,X,K,{letter:Y,counterAxes:et[Y],overlayableAxes:tt(Y,q),grid:e.grid}),K("fixedrange"),at(),X._input=W}var yt=b("rangeslider","handleDefaults"),xt=b("rangeselector","handleDefaults");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),"date"===X.type&&xt(W,X,e,U,X.calendar),K("fixedrange");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K("fixedrange",b("rangeslider","isVisible")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{"../../components/color":361,"../../components/fx/helpers":397,"../../components/fx/hovermode_defaults":400,"../../lib":498,"../../plot_api/plot_template":538,"../../registry":633,"../layout_attributes":605,"./axis_defaults":551,"./axis_ids":553,"./constants":556,"./constraints":557,"./layout_attributes":564,"./position_defaults":567,"./type_defaults":577}],566:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../components/color/attributes").lightFraction,a=t("../../lib");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l("linecolor",s),u=l("linewidth");r("showline",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l("gridcolor",n(s,o.bgColor,o.blend||i).toRgbString()),h=l("gridwidth");if(r("showgrid",o.showGrid||!!f||!!h)||(delete e.gridcolor,delete e.gridwidth),!o.noZeroLine){var p=l("zerolinecolor",s),d=l("zerolinewidth");r("zeroline",o.showGrid||!!p||!!d)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{"../../components/color/attributes":360,"../../lib":498,tinycolor2:307}],567:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+"side"].split(" ")[0],c=p.domain[h]["right"===l||"top"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?"free":u[0]||"free"),l=l||("x"===h?"bottom":"left"),c=c||0,"free"===i.coerce(t,e,{anchor:{valType:"enumerated",values:["free"].concat(u),dflt:o}},"anchor")&&r("position",c),i.coerce(t,e,{side:{valType:"enumerated",values:"x"===h?["bottom","top"]:["left","right"],dflt:l}},"side");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:"enumerated",values:[!1].concat(f),dflt:!1}},"overlaying")),!d){var m=r("domain",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r("layer"),e}},{"../../lib":498,"fast-isnumeric":185}],568:[function(t,e,r){"use strict";var n=t("./show_dflt");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r("tickprefix")&&r("showtickprefix",s),r("ticksuffix",o)&&r("showticksuffix",s)}},{"./show_dflt":572}],569:[function(t,e,r){"use strict";var n=t("../../constants/alignment").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||"center"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{"../../constants/alignment":466}],570:[function(t,e,r){"use strict";var n=t("polybooljs"),i=t("../../registry"),a=t("../../components/drawing").dashStyle,o=t("../../components/color"),s=t("../../components/fx"),l=t("../../components/fx/helpers").makeEventData,c=t("../../components/dragelement/helpers"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t("../../components/shapes/draw_newshape/display_outlines"),g=t("../../components/shapes/draw_newshape/helpers").handleEllipse,v=t("../../components/shapes/draw_newshape/newshapes"),y=t("../../lib"),x=t("../../lib/polygon"),b=t("../../lib/throttle"),_=t("./axis_ids").getFromId,w=t("../../lib/clear_gl_canvases"),T=t("../../plot_api/subroutines").redrawReglTraces,k=t("./constants"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t("./handle_outline").clearSelect,L=t("./helpers"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){F(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=N(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n,i=0;for(n=0;n<t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length>1)return!1;if((i+=r.selectedpoints.length)>1)return!1}return 1===i}(s)&&(h=j(_))){for(o&&o.remove(),v=0;v<s.length;v++)(l=s[v])._module.selectPoints(l,!1);U(e,s),B(a),x&&e.emit("plotly_deselect",null)}else{for(d=t.shiftKey&&(void 0!==h?h:j(_)),c=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:r}}(_.pointNumber,_.searchInfo,d),u=R(a.selectionDefs.concat([c])),v=0;v<s.length;v++)if(f=V(s[v]._module.selectPoints(s[v],u),s[v]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if(U(e,s,g={points:b}),c&&a&&a.selectionDefs.push(c),o){var T=a.mergedPolygons,k=p(a.dragmode);m(H(T,k),o,a)}x&&e.emit("plotly_selected",g)}}}function z(t){return"pointNumber"in t&&"searchInfo"in t}function D(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:t.subtract}}function R(t){for(var e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var a=n._fullLayout._zoomlayer.selectAll(".select-outline-"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call("_guiRelayout",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if("splom"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if("sankey"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function U(t,e,r){var n,a,o,s;for(n=0;n<e.length;n++){var l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var f=u[n],h=f.data,p=f.fullData;f.pointIndices?([].push.apply(h.selectedpoints,f.pointIndices),s._fullInput!==s&&[].push.apply(p.selectedpoints,f.pointIndices)):(h.selectedpoints.push(f.pointIndex),s._fullInput!==s&&p.selectedpoints.push(f.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,"regl")&&(d=!0);var m=a._module,g=m.styleOnSelect||m.style;g&&(g(t,o,o[0].node3),o[0].nodeRangePlot3&&g(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function H(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T="drawcircle"===l,E="drawline"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),q=i.plotinfo,G=I(q),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var Z,J,K,Q,$,tt,et,rt=z._invScaleX,nt=z._invScaleY,it=Y,at=W,ot="M"+Y+","+W,st=i.xaxes[0]._length,lt=i.yaxes[0]._length,ct=i.xaxes.concat(i.yaxes),ut=t.altKey&&!(h(l)&&x);F(t,L,i),c&&(Z=M([[Y,W]],k.BENDPX));var ft=D.selectAll("path.select-outline-"+q.id).data(_?[0]:[1,2]),ht=z.newshape;ft.enter().append("path").attr("class",(function(t){return"select-outline select-outline-"+t+" select-outline-"+q.id})).style(_?{opacity:ht.opacity/2,fill:x?void 0:ht.fillcolor,stroke:ht.line.color,"stroke-dasharray":a(ht.line.dash,ht.line.width),"stroke-width":ht.line.width+"px"}:{}).attr("fill-rule",ht.fillrule).classed("cursor-move",!!_).attr("transform",G).attr("d",ot+"Z");var pt,dt=D.append("path").attr("class","zoombox-corners").style({fill:o.background,stroke:o.defaultLine,"stroke-width":1}).attr("transform",G).attr("d","M0,0Z"),mt=z._uid+k.SELECTID,gt=[],vt=N(L,i.xaxes,i.yaxes,i.subplot);function yt(t,e){return t-e}pt=q.fillRangeItems?q.fillRangeItems:v?function(t,e){var r=t.range={};for($=0;$<ct.length;$++){var n=ct[$],i=n._id.charAt(0);r[n._id]=[C(n,e[i+"min"]),C(n,e[i+"max"])].sort(yt)}}:function(t,e,r){var n=t.lassoPoints={};for($=0;$<ct.length;$++){var i=ct[$];n[i._id]=r.filtered.map(P(i))}},i.moveFn=function(t,e){it=Math.max(0,Math.min(st,rt*t+Y)),at=Math.max(0,Math.min(lt,nt*e+W));var r=Math.abs(it-Y),a=Math.abs(at-W);if(v){var o,s,l;if(w){var u=z.selectdirection;switch(o="any"===u?a<Math.min(.6*r,A)?"h":r<Math.min(.6*a,A)?"v":"d":u){case"h":s=T?lt/2:0,l=lt;break;case"v":s=T?st/2:0,l=st}}if(_)switch(z.newshape.drawdirection){case"vertical":o="h",s=T?lt/2:0,l=lt;break;case"horizontal":o="v",s=T?st/2:0,l=st;break;case"ortho":r<a?(o="h",s=W,l=at):(o="v",s=Y,l=it);break;default:o="d"}"h"===o?((Q=E?g(T,[it,s],[it,l]):[[Y,s],[Y,l],[it,l],[it,s]]).xmin=E?it:Math.min(Y,it),Q.xmax=E?it:Math.max(Y,it),Q.ymin=Math.min(s,l),Q.ymax=Math.max(s,l),dt.attr("d","M"+Q.xmin+","+(W-A)+"h-4v"+2*A+"h4ZM"+(Q.xmax-1)+","+(W-A)+"h4v"+2*A+"h-4Z")):"v"===o?((Q=E?g(T,[s,at],[l,at]):[[s,W],[s,at],[l,at],[l,W]]).xmin=Math.min(s,l),Q.xmax=Math.max(s,l),Q.ymin=E?at:Math.min(W,at),Q.ymax=E?at:Math.max(W,at),dt.attr("d","M"+(Y-A)+","+Q.ymin+"v-4h"+2*A+"v4ZM"+(Y-A)+","+(Q.ymax-1)+"v4h"+2*A+"v-4Z")):"d"===o&&((Q=E?g(T,[Y,W],[it,at]):[[Y,W],[Y,at],[it,at],[it,W]]).xmin=Math.min(Y,it),Q.xmax=Math.max(Y,it),Q.ymin=Math.min(W,at),Q.ymax=Math.max(W,at),dt.attr("d","M0,0Z"))}else c&&(Z.addPt([it,at]),Q=Z.filtered);i.selectionDefs&&i.selectionDefs.length?(K=function(t,e,r){if(r)return n.difference({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions;return n.union({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions}(i.mergedPolygons,Q,ut),Q.subtract=ut,J=R(i.selectionDefs.concat([Q]))):(K=[Q],J=S(Q)),m(H(K,x),ft,i),w&&b.throttle(mt,k.SELECTDELAY,(function(){var t;gt=[];var e,r=[];for($=0;$<vt.length;$++)if(e=(tt=vt[$])._module.selectPoints(tt,J),r.push(e),t=V(e,tt),gt.length)for(var n=0;n<t.length;n++)gt.push(t[n]);else gt=t;U(L,vt,et={points:gt}),pt(et,Q,Z),i.gd.emit("plotly_selecting",et)}))},i.clickFn=function(t,e){if(dt.remove(),L._fullLayout._activeShapeIndex>=0)L._fullLayout._deactivateShape(L);else if(!_){var r=z.clickmode;b.done(mt).then((function(){if(b.clear(mt),2===t){for(ft.remove(),$=0;$<vt.length;$++)(tt=vt[$])._module.selectPoints(tt,!1);U(L,vt),B(i),L.emit("plotly_deselect",null)}else r.indexOf("select")>-1&&O(e,L,i.xaxes,i.yaxes,i.subplot,i,ft),"event"===r&&L.emit("plotly_selected",void 0);s.click(L,e)})).catch(y.error)}},i.doneFn=function(){dt.remove(),b.done(mt).then((function(){b.clear(mt),i.gd.emit("plotly_selected",et),Q&&i.selectionDefs&&(Q.subtract=ut,i.selectionDefs.push(Q),i.mergedPolygons.length=0,[].push.apply(i.mergedPolygons,K)),i.doneFnCompleted&&i.doneFnCompleted(gt)})).catch(y.error),_&&B(i)}},clearSelect:E,clearSelectionsCache:B,selectOnClick:O}},{"../../components/color":361,"../../components/dragelement/helpers":379,"../../components/drawing":383,"../../components/fx":401,"../../components/fx/helpers":397,"../../components/shapes/draw_newshape/display_outlines":449,"../../components/shapes/draw_newshape/helpers":450,"../../components/shapes/draw_newshape/newshapes":451,"../../lib":498,"../../lib/clear_gl_canvases":482,"../../lib/polygon":510,"../../lib/throttle":525,"../../plot_api/subroutines":539,"../../registry":633,"./axis_ids":553,"./constants":556,"./handle_outline":560,"./helpers":561,polybooljs:249}],571:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-time-format").utcFormat,a=t("../../lib"),o=a.numberFormat,s=t("fast-isnumeric"),l=a.cleanNumber,c=a.ms2DateTime,u=a.dateTime2ms,f=a.ensureNumber,h=a.isArrayOrTypedArray,p=t("../../constants/numerical"),d=p.FP_SAFE,m=p.BADNUM,g=p.LOG_CLIP,v=p.ONEWEEK,y=p.ONEDAY,x=p.ONEHOUR,b=p.ONEMIN,_=p.ONESEC,w=t("./axis_ids"),T=t("./constants"),k=T.HOUR_PATTERN,A=T.WEEKDAY_PATTERN;function M(t){return Math.pow(10,t)}function S(t){return null!=t}e.exports=function(t,e){e=e||{};var r=t._id||"x",p=r.charAt(0);function E(e,r){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&r&&t.range&&2===t.range.length){var n=t.range[0],i=t.range[1];return.5*(n+i-2*g*Math.abs(n-i))}return m}function L(e,r,n,i){if((i||{}).msUTC&&s(e))return+e;var o=u(e,n||t.calendar);if(o===m){if(!s(e))return m;e=+e;var l=Math.floor(10*a.mod(e+.05,1)),c=Math.round(e-l/10);o=u(new Date(c))+l/10}return o}function C(e,r,n){return c(e,r,n||t.calendar)}function P(e){return t._categories[Math.round(e)]}function I(e){if(S(e)){if(void 0===t._categoriesMap&&(t._categoriesMap={}),void 0!==t._categoriesMap[e])return t._categoriesMap[e];t._categories.push("number"==typeof e?String(e):e);var r=t._categories.length-1;return t._categoriesMap[e]=r,r}return m}function O(e){if(t._categoriesMap)return t._categoriesMap[e]}function z(t){var e=O(t);return void 0!==e?e:s(t)?+t:void 0}function D(t){return s(t)?+t:O(t)}function R(t,e,r){return n.round(r+e*t,2)}function F(t,e,r){return(t-r)/e}var B=function(e){return s(e)?R(e,t._m,t._b):m},N=function(e){return F(e,t._m,t._b)};if(t.rangebreaks){var j="y"===p;B=function(e){if(!s(e))return m;var r=t._rangebreaks.length;if(!r)return R(e,t._m,t._b);var n=j;t.range[0]>t.range[1]&&(n=!n);for(var i=n?-1:1,a=i*e,o=0,l=0;l<r;l++){var c=i*t._rangebreaks[l].min,u=i*t._rangebreaks[l].max;if(a<c)break;if(!(a>u)){o=a<(c+u)/2?l:l+1;break}o=l+1}var f=t._B[o]||0;return isFinite(f)?R(e,t._m2,f):0},N=function(e){var r=t._rangebreaks.length;if(!r)return F(e,t._m,t._b);for(var n=0,i=0;i<r&&!(e<t._rangebreaks[i].pmin);i++)e>t._rangebreaks[i].pmax&&(n=i+1);return F(e,t._m2,t._B[n])}}t.c2l="log"===t.type?E:f,t.l2c="log"===t.type?M:f,t.l2p=B,t.p2l=N,t.c2p="log"===t.type?function(t,e){return B(E(t,e))}:B,t.p2c="log"===t.type?function(t){return M(N(t))}:N,-1!==["linear","-"].indexOf(t.type)?(t.d2r=t.r2d=t.d2c=t.r2c=t.d2l=t.r2l=l,t.c2d=t.c2r=t.l2d=t.l2r=f,t.d2p=t.r2p=function(e){return t.l2p(l(e))},t.p2d=t.p2r=N,t.cleanPos=f):"log"===t.type?(t.d2r=t.d2l=function(t,e){return E(l(t),e)},t.r2d=t.r2c=function(t){return M(l(t))},t.d2c=t.r2l=l,t.c2d=t.l2r=f,t.c2r=E,t.l2d=M,t.d2p=function(e,r){return t.l2p(t.d2r(e,r))},t.p2d=function(t){return M(N(t))},t.r2p=function(e){return t.l2p(l(e))},t.p2r=N,t.cleanPos=f):"date"===t.type?(t.d2r=t.r2d=a.identity,t.d2c=t.r2c=t.d2l=t.r2l=L,t.c2d=t.c2r=t.l2d=t.l2r=C,t.d2p=t.r2p=function(e,r,n){return t.l2p(L(e,0,n))},t.p2d=t.p2r=function(t,e,r){return C(N(t),e,r)},t.cleanPos=function(e){return a.cleanDate(e,m,t.calendar)}):"category"===t.type?(t.d2c=t.d2l=I,t.r2d=t.c2d=t.l2d=P,t.d2r=t.d2l_noadd=z,t.r2c=function(e){var r=D(e);return void 0!==r?r:t.fraction2r(.5)},t.l2r=t.c2r=f,t.r2l=D,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return P(N(t))},t.r2p=t.d2p,t.p2r=N,t.cleanPos=function(t){return"string"==typeof t&&""!==t?t:f(t)}):"multicategory"===t.type&&(t.r2d=t.c2d=t.l2d=P,t.d2r=t.d2l_noadd=z,t.r2c=function(e){var r=z(e);return void 0!==r?r:t.fraction2r(.5)},t.r2c_just_indices=O,t.l2r=t.c2r=f,t.r2l=z,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return P(N(t))},t.r2p=t.d2p,t.p2r=N,t.cleanPos=function(t){return Array.isArray(t)||"string"==typeof t&&""!==t?t:f(t)},t.setupMultiCategory=function(n){var i,o,s=t._traceIndices,l=t._matchGroup;if(l&&0===t._categories.length)for(var c in l)if(c!==r){var u=e[w.id2name(c)];s=s.concat(u._traceIndices)}var f=[[0,{}],[0,{}]],d=[];for(i=0;i<s.length;i++){var m=n[s[i]];if(p in m){var g=m[p],v=m._length||a.minRowLength(g);if(h(g[0])&&h(g[1]))for(o=0;o<v;o++){var y=g[0][o],x=g[1][o];S(y)&&S(x)&&(d.push([y,x]),y in f[0][1]||(f[0][1][y]=f[0][0]++),x in f[1][1]||(f[1][1][x]=f[1][0]++))}}}for(d.sort((function(t,e){var r=f[0][1],n=r[t[0]]-r[e[0]];if(n)return n;var i=f[1][1];return i[t[1]]-i[e[1]]})),i=0;i<d.length;i++)I(d[i])}),t.fraction2r=function(e){var r=t.r2l(t.range[0]),n=t.r2l(t.range[1]);return t.l2r(r+e*(n-r))},t.r2fraction=function(e){var r=t.r2l(t.range[0]),n=t.r2l(t.range[1]);return(t.r2l(e)-r)/(n-r)},t.cleanRange=function(e,r){r||(r={}),e||(e="range");var n,i,o=a.nestedProperty(t,e).get();if(i=(i="date"===t.type?a.dfltRange(t.calendar):"y"===p?T.DFLTRANGEY:"realaxis"===t._name?[0,1]:r.dfltRange||T.DFLTRANGEX).slice(),"tozero"!==t.rangemode&&"nonnegative"!==t.rangemode||(i[0]=0),o&&2===o.length)for("date"!==t.type||t.autorange||(o[0]=a.cleanDate(o[0],m,t.calendar),o[1]=a.cleanDate(o[1],m,t.calendar)),n=0;n<2;n++)if("date"===t.type){if(!a.isDateTime(o[n],t.calendar)){t[e]=i;break}if(t.r2l(o[0])===t.r2l(o[1])){var l=a.constrain(t.r2l(o[0]),a.MIN_MS+1e3,a.MAX_MS-1e3);o[0]=t.l2r(l-1e3),o[1]=t.l2r(l+1e3);break}}else{if(!s(o[n])){if(!s(o[1-n])){t[e]=i;break}o[n]=o[1-n]*(n?10:.1)}if(o[n]<-d?o[n]=-d:o[n]>d&&(o[n]=d),o[0]===o[1]){var c=Math.max(1,Math.abs(1e-6*o[0]));o[0]-=c,o[1]+=c}}else a.nestedProperty(t,e).set(i)},t.setScale=function(r){var n=e._size;if(t.overlaying){var i=w.getFromId({_fullLayout:e},t.overlaying);t.domain=i.domain}var a=r&&t._r?"_r":"range",o=t.calendar;t.cleanRange(a);var s,l,c=t.r2l(t[a][0],o),u=t.r2l(t[a][1],o),f="y"===p;if((f?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var h=f;c>u&&(h=!h),h&&t._rangebreaks.reverse();var d=h?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(f?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=B(l.min),l.pmax=B(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error("Something went wrong with axis scaling")},t.maskBreaks=function(e){var r,n,i,o,s,c=t.rangebreaks||[];c._cachedPatterns||(c._cachedPatterns=c.map((function(e){return e.enabled&&e.bounds?a.simpleMap(e.bounds,e.pattern?l:t.d2c):null}))),c._cachedValues||(c._cachedValues=c.map((function(e){return e.enabled&&e.values?a.simpleMap(e.values,t.d2c).sort(a.sorterAsc):null})));for(var u=0;u<c.length;u++){var f=c[u];if(f.enabled)if(f.bounds){var h=f.pattern;switch(n=(r=c._cachedPatterns[u])[0],i=r[1],h){case A:o=(s=new Date(e)).getUTCDay(),n>i&&(i+=7,o<n&&(o+=7));break;case k:o=(s=new Date(e)).getUTCHours()+(s.getUTCMinutes()/60+s.getUTCSeconds()/3600+s.getUTCMilliseconds()/36e5),n>i&&(i+=24,o<n&&(o+=24));break;case"":o=e}if(o>=n&&o<i)return m}else for(var p=c._cachedValues[u],d=0;d<p.length;d++)if(i=(n=p[d])+f.dvalue,e>=n&&e<i)return m}return e},t.locateBreaks=function(e,r){var n,i,o,s,c=[];if(!t.rangebreaks)return c;var u=t.rangebreaks.slice().sort((function(t,e){return t.pattern===A&&e.pattern===k?-1:e.pattern===A&&t.pattern===k?1:0})),f=function(t,n){if((t=a.constrain(t,e,r))!==(n=a.constrain(n,e,r))){for(var i=!0,o=0;o<c.length;o++){var s=c[o];t<s.max&&n>=s.min&&(t<s.min&&(s.min=t),n>s.max&&(s.max=n),i=!1)}i&&c.push({min:t,max:n})}};for(n=0;n<u.length;n++){var h=u[n];if(h.enabled)if(h.bounds){var p=e,d=r;h.pattern&&(p=Math.floor(p)),o=(i=a.simpleMap(h.bounds,h.pattern?l:t.r2l))[0],s=i[1];var m,g,w=new Date(p);switch(h.pattern){case A:g=v,m=(s-o+(s<o?7:0))*y,p+=o*y-(w.getUTCDay()*y+w.getUTCHours()*x+w.getUTCMinutes()*b+w.getUTCSeconds()*_+w.getUTCMilliseconds());break;case k:g=y,m=(s-o+(s<o?24:0))*x,p+=o*x-(w.getUTCHours()*x+w.getUTCMinutes()*b+w.getUTCSeconds()*_+w.getUTCMilliseconds());break;default:p=Math.min(i[0],i[1]),m=g=(d=Math.max(i[0],i[1]))-p}for(var T=p;T<d;T+=g)f(T,T+m)}else for(var M=a.simpleMap(h.values,t.d2c),S=0;S<M.length;S++)f(o=M[S],s=o+h.dvalue)}return c.sort((function(t,e){return t.min-e.min})),c},t.makeCalcdata=function(e,r,n){var i,o,s,l,c=t.type,u="date"===c&&e[r+"calendar"];if(r in e){if(i=e[r],l=e._length||a.minRowLength(i),a.isTypedArray(i)&&("linear"===c||"log"===c)){if(l===i.length)return i;if(i.subarray)return i.subarray(0,l)}if("multicategory"===c)return function(t,e){for(var r=new Array(e),n=0;n<e;n++){var i=(t[0]||[])[n],a=(t[1]||[])[n];r[n]=O([i,a])}return r}(i,l);for(o=new Array(l),s=0;s<l;s++)o[s]=t.d2c(i[s],0,u,n)}else{var f=r+"0"in e?t.d2c(e[r+"0"],0,u):0,h=e["d"+r]?Number(e["d"+r]):1;for(i=e[{x:"y",y:"x"}[r]],l=e._length||i.length,o=new Array(l),s=0;s<l;s++)o[s]=f+s*h}if(t.rangebreaks)for(s=0;s<l;s++)o[s]=t.maskBreaks(o[s]);return o},t.isValidRange=function(e){return Array.isArray(e)&&2===e.length&&s(t.r2l(e[0]))&&s(t.r2l(e[1]))},t.isPtWithinRange=function(e,r){var n=t.c2l(e[p],null,r),i=t.r2l(t.range[0]),a=t.r2l(t.range[1]);return i<a?i<=n&&n<=a:a<=n&&n<=i},t._emptyCategories=function(){t._categories=[],t._categoriesMap={}},t.clearCalc=function(){var r=t._matchGroup;if(r){var n=null,i=null;for(var a in r){var o=e[w.id2name(a)];if(o._categories){n=o._categories,i=o._categoriesMap;break}}n&&i?(t._categories=n,t._categoriesMap=i):t._emptyCategories()}else t._emptyCategories();if(t._initialCategories)for(var s=0;s<t._initialCategories.length;s++)I(t._initialCategories[s])},t.sortByInitialCategories=function(){var n=[];if(t._emptyCategories(),t._initialCategories)for(var i=0;i<t._initialCategories.length;i++)I(t._initialCategories[i]);n=n.concat(t._traceIndices);var a=t._matchGroup;for(var o in a)if(r!==o){var s=e[w.id2name(o)];s._categories=t._categories,s._categoriesMap=t._categoriesMap,n=n.concat(s._traceIndices)}return n};var U=e._d3locale;"date"===t.type&&(t._dateFormat=U?U.timeFormat:i,t._extraFormat=e._extraFormat),t._separators=e.separators,t._numFormat=U?U.numberFormat:o,delete t._minDtick,delete t._forceTick0}},{"../../constants/numerical":474,"../../lib":498,"./axis_ids":553,"./constants":556,"@plotly/d3":58,"d3-time-format":115,"fast-isnumeric":185}],572:[function(t,e,r){"use strict";e.exports=function(t){var e=["showexponent","showtickprefix","showticksuffix"].filter((function(e){return void 0!==t[e]}));if(e.every((function(r){return t[r]===t[e[0]]}))||1===e.length)return t[e[0]]}},{}],573:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color").contrast,a=t("./layout_attributes"),o=t("./show_dflt"),s=t("../array_container_defaults");function l(t,e){function r(r,i){return n.coerce(t,e,a.tickformatstops,r,i)}r("enabled")&&(r("dtickrange"),r("value"))}e.exports=function(t,e,r,c,u){u||(u={});var f=o(t);if(r("showticklabels")){var h=u.font||{},p=e.color,d=-1!==(e.ticklabelposition||"").indexOf("inside")?i(u.bgColor):p&&p!==a.color.dflt?p:h.color;if(n.coerceFont(r,"tickfont",{family:h.family,size:h.size,color:d}),u.noTicklabelstep||"multicategory"===c||"log"===c||r("ticklabelstep"),u.noAng||r("tickangle"),"category"!==c){var m=r("tickformat");s(t,e,{name:"tickformatstops",inclusionAttr:"enabled",handleItemDefaults:l}),e.tickformatstops.length||delete e.tickformatstops,u.noExp||m||"date"===c||(r("showexponent",f),r("exponentformat"),r("minexponent"),r("separatethousands"))}}}},{"../../components/color":361,"../../lib":498,"../array_container_defaults":544,"./layout_attributes":564,"./show_dflt":572}],574:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r,a){var o=n.coerce2(t,e,i,"ticklen"),s=n.coerce2(t,e,i,"tickwidth"),l=n.coerce2(t,e,i,"tickcolor",e.color);r("ticks",a.outerTicks||o||s||l?"outside":"")||(delete e.ticklen,delete e.tickwidth,delete e.tickcolor)}},{"../../lib":498,"./layout_attributes":564}],575:[function(t,e,r){"use strict";var n=t("./clean_ticks"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a){function o(r){var n=t[r];return void 0!==n?n:(e._template||{})[r]}var s=o("tick0"),l=o("dtick"),c=o("tickvals"),u=r("tickmode",i(c)?"array":l?"linear":"auto");if("auto"===u)r("nticks");else if("linear"===u){var f=e.dtick=n.dtick(l,a);e.tick0=n.tick0(s,a,e.calendar,f)}else if("multicategory"!==a){void 0===r("tickvals")?e.tickmode="auto":r("ticktext")}}},{"../../lib":498,"./clean_ticks":555}],576:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../lib"),o=t("../../components/drawing"),s=t("./axes");e.exports=function(t,e,r,l){var c=t._fullLayout;if(0!==e.length){var u,f,h,p;l&&(u=l());var d=n.ease(r.easing);return t._transitionData._interruptCallbacks.push((function(){return window.cancelAnimationFrame(p),p=null,function(){for(var r={},n=0;n<e.length;n++){var a=e[n],o=a.plotinfo.xaxis,s=a.plotinfo.yaxis;a.xr0&&(r[o._name+".range"]=a.xr0.slice()),a.yr0&&(r[s._name+".range"]=a.yr0.slice())}return i.call("relayout",t,r).then((function(){for(var t=0;t<e.length;t++)m(e[t].plotinfo)}))}()})),f=Date.now(),p=window.requestAnimationFrame((function n(){h=Date.now();for(var a=Math.min(1,(h-f)/r.duration),o=d(a),s=0;s<e.length;s++)g(e[s],o);h-f>r.duration?(!function(){for(var r={},n=0;n<e.length;n++){var a=e[n],o=a.plotinfo.xaxis,s=a.plotinfo.yaxis;a.xr1&&(r[o._name+".range"]=a.xr1.slice()),a.yr1&&(r[s._name+".range"]=a.yr1.slice())}u&&u(),i.call("relayout",t,r).then((function(){for(var t=0;t<e.length;t++)m(e[t].plotinfo)}))}(),p=window.cancelAnimationFrame(n)):p=window.requestAnimationFrame(n)})),Promise.resolve()}function m(t){var e=t.xaxis,r=t.yaxis;c._defs.select("#"+t.clipId+"> rect").call(o.setTranslate,0,0).call(o.setScale,1,1),t.plot.call(o.setTranslate,e._offset,r._offset).call(o.setScale,1,1);var n=t.plot.selectAll(".scatterlayer .trace");n.selectAll(".point").call(o.setPointGroupScale,1,1),n.selectAll(".textpoint").call(o.setTextPointsScale,1,1),n.call(o.hideOutsideRangePoints,t)}function g(e,r){var n=e.plotinfo,i=n.xaxis,l=n.yaxis,c=i._length,u=l._length,f=!!e.xr1,h=!!e.yr1,p=[];if(f){var d=a.simpleMap(e.xr0,i.r2l),m=a.simpleMap(e.xr1,i.r2l),g=d[1]-d[0],v=m[1]-m[0];p[0]=(d[0]*(1-r)+r*m[0]-d[0])/(d[1]-d[0])*c,p[2]=c*(1-r+r*v/g),i.range[0]=i.l2r(d[0]*(1-r)+r*m[0]),i.range[1]=i.l2r(d[1]*(1-r)+r*m[1])}else p[0]=0,p[2]=c;if(h){var y=a.simpleMap(e.yr0,l.r2l),x=a.simpleMap(e.yr1,l.r2l),b=y[1]-y[0],_=x[1]-x[0];p[1]=(y[1]*(1-r)+r*x[1]-y[1])/(y[0]-y[1])*u,p[3]=u*(1-r+r*_/b),l.range[0]=i.l2r(y[0]*(1-r)+r*x[0]),l.range[1]=l.l2r(y[1]*(1-r)+r*x[1])}else p[1]=0,p[3]=u;s.drawOne(t,i,{skipTitle:!0}),s.drawOne(t,l,{skipTitle:!0}),s.redrawComponents(t,[i._id,l._id]);var w=f?c/p[2]:1,T=h?u/p[3]:1,k=f?p[0]:0,A=h?p[1]:0,M=f?p[0]/p[2]*c:0,S=h?p[1]/p[3]*u:0,E=i._offset-M,L=l._offset-S;n.clipRect.call(o.setTranslate,k,A).call(o.setScale,1/w,1/T),n.plot.call(o.setTranslate,E,L).call(o.setScale,w,T),o.setPointGroupScale(n.zoomScalePts,1/w,1/T),o.setTextPointsScale(n.zoomScaleTxt,1/w,1/T)}s.redrawComponents(t)}},{"../../components/drawing":383,"../../lib":498,"../../registry":633,"./axes":549,"@plotly/d3":58}],577:[function(t,e,r){"use strict";var n=t("../../registry").traceIs,i=t("./axis_autotype");function a(t){return{v:"x",h:"y"}[t.orientation||"v"]}function o(t,e){var r=a(t),i=n(t,"box-violin"),o=n(t._fullInput||{},"candlestick");return i&&!o&&e===r&&void 0===t[r]&&void 0===t[r+"0"]}e.exports=function(t,e,r,s){r("autotypenumbers",s.autotypenumbersDflt),"-"===r("type",(s.splomStash||{}).type)&&(!function(t,e){if("-"!==t.type)return;var r,s=t._id,l=s.charAt(0);-1!==s.indexOf("scene")&&(s=l);var c=function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n];if("splom"===i.type&&i._length>0&&(i["_"+r+"axes"]||{})[e])return i;if((i[r+"axis"]||r)===e){if(o(i,r))return i;if((i[r]||[]).length||i[r+"0"])return i}}}(e,s,l);if(!c)return;if("histogram"===c.type&&l==={v:"y",h:"x"}[c.orientation||"v"])return void(t.type="linear");var u=l+"calendar",f=c[u],h={noMultiCategory:!n(c,"cartesian")||n(c,"noMultiCategory")};"box"===c.type&&c._hasPreCompStats&&l==={h:"x",v:"y"}[c.orientation||"v"]&&(h.noMultiCategory=!0);if(h.autotypenumbers=t.autotypenumbers,o(c,l)){var p=a(c),d=[];for(r=0;r<e.length;r++){var m=e[r];n(m,"box-violin")&&(m[l+"axis"]||l)===s&&(void 0!==m[p]?d.push(m[p][0]):void 0!==m.name?d.push(m.name):d.push("text"),m[u]!==f&&(f=void 0))}t.type=i(d,f,h)}else if("splom"===c.type){var g=c.dimensions[c._axesDim[s]];g.visible&&(t.type=i(g.values,f,h))}else t.type=i(c[l]||[c[l+"0"]],f,h)}(e,s.data),"-"===e.type?e.type="linear":t.type=e.type)}},{"../../registry":633,"./axis_autotype":550}],578:[function(t,e,r){"use strict";var n=t("../registry"),i=t("../lib");function a(t,e,r){var n,a,o,s=!1;if("data"===e.type)n=t._fullData[null!==e.traces?e.traces[0]:0];else{if("layout"!==e.type)return!1;n=t._fullLayout}return a=i.nestedProperty(n,e.prop).get(),(o=r[e.type]=r[e.type]||{}).hasOwnProperty(e.prop)&&o[e.prop]!==a&&(s=!0),o[e.prop]=a,{changed:s,value:a}}function o(t,e){var r=[],n=e[0],a={};if("string"==typeof n)a[n]=e[1];else{if(!i.isPlainObject(n))return r;a=n}return l(a,(function(t,e,n){r.push({type:"layout",prop:t,value:n})}),"",0),r}function s(t,e){var r,n,a,o,s=[];if(n=e[0],a=e[1],r=e[2],o={},"string"==typeof n)o[n]=a;else{if(!i.isPlainObject(n))return s;o=n,void 0===r&&(r=a)}return void 0===r&&(r=null),l(o,(function(e,n,i){var a,o;if(Array.isArray(i)){o=i.slice();var l=Math.min(o.length,t.data.length);r&&(l=Math.min(l,r.length)),a=[];for(var c=0;c<l;c++)a[c]=r?r[c]:c}else o=i,a=r?r.slice():null;if(null===a)Array.isArray(o)&&(o=o[0]);else if(Array.isArray(a)){if(!Array.isArray(o)){var u=o;o=[];for(var f=0;f<a.length;f++)o[f]=u}o.length=Math.min(a.length,o.length)}s.push({type:"data",prop:e,traces:a,value:o})}),"",0),s}function l(t,e,r,n){Object.keys(t).forEach((function(a){var o=t[a];if("_"!==a[0]){var s=r+(n>0?".":"")+a;i.isPlainObject(o)?l(o,e,s,n+1):e(s,a,o)}}))}r.manageCommandObserver=function(t,e,n,o){var s={},l=!0;e&&e._commandObserver&&(s=e._commandObserver),s.cache||(s.cache={}),s.lookupTable={};var c=r.hasSimpleAPICommandBindings(t,n,s.lookupTable);if(e&&e._commandObserver){if(c)return s;if(e._commandObserver.remove)return e._commandObserver.remove(),e._commandObserver=null,s}if(c){a(t,c,s.cache),s.check=function(){if(l){var e=a(t,c,s.cache);return e.changed&&o&&void 0!==s.lookupTable[e.value]&&(s.disable(),Promise.resolve(o({value:e.value,type:c.type,prop:c.prop,traces:c.traces,index:s.lookupTable[e.value]})).then(s.enable,s.enable)),e.changed}};for(var u=["plotly_relayout","plotly_redraw","plotly_restyle","plotly_update","plotly_animatingframe","plotly_afterplot"],f=0;f<u.length;f++)t._internalOn(u[f],s.check);s.remove=function(){for(var e=0;e<u.length;e++)t._removeInternalListener(u[e],s.check)}}else i.log("Unable to automatically bind plot updates to API command"),s.lookupTable={},s.remove=function(){};return s.disable=function(){l=!1},s.enable=function(){l=!0},e&&(e._commandObserver=s),s},r.hasSimpleAPICommandBindings=function(t,e,n){var i,a,o=e.length;for(i=0;i<o;i++){var s,l=e[i],c=l.method,u=l.args;if(Array.isArray(u)||(u=[]),!c)return!1;var f=r.computeAPICommandBindings(t,c,u);if(1!==f.length)return!1;if(a){if((s=f[0]).type!==a.type)return!1;if(s.prop!==a.prop)return!1;if(Array.isArray(a.traces)){if(!Array.isArray(s.traces))return!1;s.traces.sort();for(var h=0;h<a.traces.length;h++)if(a.traces[h]!==s.traces[h])return!1}else if(s.prop!==a.prop)return!1}else a=f[0],Array.isArray(a.traces)&&a.traces.sort();var p=(s=f[0]).value;if(Array.isArray(p)){if(1!==p.length)return!1;p=p[0]}n&&(n[p]=i)}return a},r.executeAPICommand=function(t,e,r){if("skip"===e)return Promise.resolve();var a=n.apiMethodRegistry[e],o=[t];Array.isArray(r)||(r=[]);for(var s=0;s<r.length;s++)o.push(r[s]);return a.apply(null,o).catch((function(t){return i.warn("API call to Plotly."+e+" rejected.",t),Promise.reject(t)}))},r.computeAPICommandBindings=function(t,e,r){var n;switch(Array.isArray(r)||(r=[]),e){case"restyle":n=s(t,r);break;case"relayout":n=o(t,r);break;case"update":n=s(t,[r[0],r[2]]).concat(o(t,[r[1]]));break;case"animate":n=function(t,e){return Array.isArray(e[0])&&1===e[0].length&&-1!==["string","number"].indexOf(typeof e[0][0])?[{type:"layout",prop:"_currentFrame",value:e[0][0].toString()}]:[]}(0,r);break;default:n=[]}return n}},{"../lib":498,"../registry":633}],579:[function(t,e,r){"use strict";var n=t("../lib/extend").extendFlat;r.attributes=function(t,e){e=e||{};var r={valType:"info_array",editType:(t=t||{}).editType,items:[{valType:"number",min:0,max:1,editType:t.editType},{valType:"number",min:0,max:1,editType:t.editType}],dflt:[0,1]},i=(t.name&&t.name,t.trace,e.description&&e.description,{x:n({},r,{}),y:n({},r,{}),editType:t.editType});return t.noGridCell||(i.row={valType:"integer",min:0,dflt:0,editType:t.editType},i.column={valType:"integer",min:0,dflt:0,editType:t.editType}),i},r.defaults=function(t,e,r,n){var i=n&&n.x||[0,1],a=n&&n.y||[0,1],o=e.grid;if(o){var s=r("domain.column");void 0!==s&&(s<o.columns?i=o._domains.x[s]:delete t.domain.column);var l=r("domain.row");void 0!==l&&(l<o.rows?a=o._domains.y[l]:delete t.domain.row)}var c=r("domain.x",i),u=r("domain.y",a);c[0]<c[1]||(t.domain.x=i.slice()),u[0]<u[1]||(t.domain.y=a.slice())}},{"../lib/extend":488}],580:[function(t,e,r){"use strict";e.exports=function(t){var e=t.editType,r=t.colorEditType;void 0===r&&(r=e);var n={family:{valType:"string",noBlank:!0,strict:!0,editType:e},size:{valType:"number",min:1,editType:e},color:{valType:"color",editType:r},editType:e};return t.autoSize&&(n.size.dflt="auto"),t.autoColor&&(n.color.dflt="auto"),t.arrayOk&&(n.family.arrayOk=!0,n.size.arrayOk=!0,n.color.arrayOk=!0),n}},{}],581:[function(t,e,r){"use strict";e.exports={_isLinkedToArray:"frames_entry",group:{valType:"string"},name:{valType:"string"},traces:{valType:"any"},baseframe:{valType:"string"},data:{valType:"any"},layout:{valType:"any"}}},{}],582:[function(t,e,r){"use strict";r.projNames={airy:"airy",aitoff:"aitoff","albers usa":"albersUsa",albers:"albers",august:"august","azimuthal equal area":"azimuthalEqualArea","azimuthal equidistant":"azimuthalEquidistant",baker:"baker",bertin1953:"bertin1953",boggs:"boggs",bonne:"bonne",bottomley:"bottomley",bromley:"bromley",collignon:"collignon","conic conformal":"conicConformal","conic equal area":"conicEqualArea","conic equidistant":"conicEquidistant",craig:"craig",craster:"craster","cylindrical equal area":"cylindricalEqualArea","cylindrical stereographic":"cylindricalStereographic",eckert1:"eckert1",eckert2:"eckert2",eckert3:"eckert3",eckert4:"eckert4",eckert5:"eckert5",eckert6:"eckert6",eisenlohr:"eisenlohr",equirectangular:"equirectangular",fahey:"fahey","foucaut sinusoidal":"foucautSinusoidal",foucaut:"foucaut",ginzburg4:"ginzburg4",ginzburg5:"ginzburg5",ginzburg6:"ginzburg6",ginzburg8:"ginzburg8",ginzburg9:"ginzburg9",gnomonic:"gnomonic","gringorten quincuncial":"gringortenQuincuncial",gringorten:"gringorten",guyou:"guyou",hammer:"hammer",hill:"hill",homolosine:"homolosine",hufnagel:"hufnagel",hyperelliptical:"hyperelliptical",kavrayskiy7:"kavrayskiy7",lagrange:"lagrange",larrivee:"larrivee",laskowski:"laskowski",loximuthal:"loximuthal",mercator:"mercator",miller:"miller",mollweide:"mollweide","mt flat polar parabolic":"mtFlatPolarParabolic","mt flat polar quartic":"mtFlatPolarQuartic","mt flat polar sinusoidal":"mtFlatPolarSinusoidal","natural earth":"naturalEarth","natural earth1":"naturalEarth1","natural earth2":"naturalEarth2","nell hammer":"nellHammer",nicolosi:"nicolosi",orthographic:"orthographic",patterson:"patterson","peirce quincuncial":"peirceQuincuncial",polyconic:"polyconic","rectangular polyconic":"rectangularPolyconic",robinson:"robinson",satellite:"satellite","sinu mollweide":"sinuMollweide",sinusoidal:"sinusoidal",stereographic:"stereographic",times:"times","transverse mercator":"transverseMercator","van der grinten":"vanDerGrinten","van der grinten2":"vanDerGrinten2","van der grinten3":"vanDerGrinten3","van der grinten4":"vanDerGrinten4",wagner4:"wagner4",wagner6:"wagner6",wiechel:"wiechel","winkel tripel":"winkel3",winkel3:"winkel3"},r.axesNames=["lonaxis","lataxis"],r.lonaxisSpan={orthographic:180,"azimuthal equal area":360,"azimuthal equidistant":360,"conic conformal":180,gnomonic:160,stereographic:180,"transverse mercator":180,"*":360},r.lataxisSpan={"conic conformal":150,stereographic:179.5,"*":180},r.scopeDefaults={world:{lonaxisRange:[-180,180],lataxisRange:[-90,90],projType:"equirectangular",projRotate:[0,0,0]},usa:{lonaxisRange:[-180,-50],lataxisRange:[15,80],projType:"albers usa"},europe:{lonaxisRange:[-30,60],lataxisRange:[30,85],projType:"conic conformal",projRotate:[15,0,0],projParallels:[0,60]},asia:{lonaxisRange:[22,160],lataxisRange:[-15,55],projType:"mercator",projRotate:[0,0,0]},africa:{lonaxisRange:[-30,60],lataxisRange:[-40,40],projType:"mercator",projRotate:[0,0,0]},"north america":{lonaxisRange:[-180,-45],lataxisRange:[5,85],projType:"conic conformal",projRotate:[-100,0,0],projParallels:[29.5,45.5]},"south america":{lonaxisRange:[-100,-30],lataxisRange:[-60,15],projType:"mercator",projRotate:[0,0,0]}},r.clipPad=.001,r.precision=.1,r.landColor="#F0DC82",r.waterColor="#3399FF",r.locationmodeToLayer={"ISO-3":"countries","USA-states":"subunits","country names":"countries"},r.sphereSVG={type:"Sphere"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=["bg","ocean","land","lakes","subunits","countries","coastlines","rivers","lataxis","lonaxis","frame","backplot","frontplot"],r.layersForChoropleth=["bg","ocean","land","subunits","countries","coastlines","lataxis","lonaxis","frame","backplot","rivers","lakes","frontplot"],r.layerNameToAdjective={ocean:"ocean",land:"land",lakes:"lake",subunits:"subunit",countries:"country",coastlines:"coastline",rivers:"river",frame:"frame"}},{}],583:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-geo"),a=i.geoPath,o=i.geoDistance,s=t("d3-geo-projection"),l=t("../../registry"),c=t("../../lib"),u=c.strTranslate,f=t("../../components/color"),h=t("../../components/drawing"),p=t("../../components/fx"),d=t("../plots"),m=t("../cartesian/axes"),g=t("../cartesian/autorange").getAutoRange,v=t("../../components/dragelement"),y=t("../cartesian/select").prepSelect,x=t("../cartesian/select").clearSelect,b=t("../cartesian/select").selectOnClick,_=t("./zoom"),w=t("./constants"),T=t("../../lib/geo_location_utils"),k=t("../../lib/topojson_utils"),A=t("topojson-client").feature;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:"Polygon",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new M(t)},S.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in w.layerNameToAdjective)if("frame"!==s&&i["show"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var c=k.getTopojsonName(i);null!==n.topojson&&c===n.topojsonName||(n.topojsonName=c,void 0===PlotlyGeoAssets.topojson[n.topojsonName]&&a.push(n.fetchTopojson()))}a=a.concat(T.fetchTraceGeoData(t)),r.push(new Promise((function(r,i){Promise.all(a).then((function(){n.topojson=PlotlyGeoAssets.topojson[n.topojsonName],n.update(t,e),r()})).catch(i)})))},S.fetchTopojson=function(){var t=this,e=k.getTopojsonPath(t.topojsonURL,t.topojsonName);return new Promise((function(r,i){n.json(e,(function(n,a){if(n)return 404===n.status?i(new Error(["plotly.js could not find topojson file at",e,".","Make sure the *topojsonURL* plot config option","is set properly."].join(" "))):i(new Error(["unexpected error while fetching topojson file at",e].join(" ")));PlotlyGeoAssets.topojson[t.topojsonName]=a,r()}))}))},S.update=function(t,e){var r=e[this.id];this.hasChoropleth=!1;for(var n=0;n<t.length;n++){var i=t[n],a=i[0].trace;"choropleth"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(".scatterlayer");this.dataPoints.point=o.selectAll(".point"),this.dataPoints.text=o.selectAll("text"),this.dataPaths.line=o.selectAll(".js-line");var s=this.layers.backplot.select(".choroplethlayer");this.dataPaths.choropleth=s.selectAll("path"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,m=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n="geo"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=["center","rotate","parallels","clipExtent"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];"function"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],m._length=y[1][1]-y[0][1],d.range=g(r,d),m.range=g(r,m);var k=(d.range[0]+d.range[1])/2,A=(m.range[0]+m.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,m.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn("Something went wrong during"+this.id+"fitbounds computations.")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return"lonaxis"===t||"lataxis"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e["show"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(".layer").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append("g").attr("class",(function(t){return"layer "+t})).each((function(t){var e=a[t]=n.select(this);"bg"===t?r.bgRect=e.append("rect").style("pointer-events","all"):s(t)?o[t]=e.append("path").style("fill","none"):"backplot"===t?e.append("g").classed("choroplethlayer",!0):"frontplot"===t?e.append("g").classed("scatterlayer",!0):l(t)?o[t]=e.append("path").style("fill","none").style("stroke-miterlimit",2):c(t)&&(o[t]=e.append("path").style("stroke","none"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];"frame"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];"lonaxis"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):"lataxis"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:"linear",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||"lonaxis"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],g=i[0];g<i[1]+2.5;g+=2.5)d.push(a(p,g));return{type:"MultiLineString",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,"",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+"color"]).call(h.dashLine,"",e[a+"width"]):c(r)&&n.call(f.fill,e[a+"color"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;"select"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:"lasso"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};"pan"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on("dblclick.zoom",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+"."+n]=t[n];l.call("_guiRelayout",i,e),i.emit("plotly_doubleclick",null)})),i._context._scrollZoom.geo||a.on("wheel.zoom",null)):"select"!==o&&"lasso"!==o||(a.on(".zoom",null),f.prepFn=function(t,e,r){y(t,e,r,f,o)},v.init(f)),a.on("mousemove",(function(){var t=r.projection.invert(c.getPositionFromD3Event());if(!t)return v.unhover(i,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return t[1]},p.hover(i,n.event,r.id)})),a.on("mouseout",(function(){i._dragging||v.unhover(i,n.event)})),a.on("click",(function(){"select"!==o&&"lasso"!==o&&(s.indexOf("select")>-1&&b(n.event,i,[r.xaxis],[r.yaxis],r.id,f),s.indexOf("event")>-1&&p.click(i,n.event))}))}function h(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},S.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i="clip"+r._uid+t.id;t.clipDef=r._clips.append("clipPath").attr("id",i),t.clipRect=t.clipDef.append("rect"),t.framework=n.select(t.container).append("g").attr("class","geo "+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:"x",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:"y",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,"projection.scale":n.scale},e=t._isScoped?{"center.lon":r.lon,"center.lat":r.lat}:t._isClipped?{"projection.rotation.lon":i.lon,"projection.rotation.lat":i.lat}:{"center.lon":r.lon,"center.lat":r.lat,"projection.rotation.lon":i.lon},c.extendFlat(this.viewInitial,e)},S.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?u(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?"none":null}for(t in this.basePaths)this.basePaths[t].attr("d",r);for(t in this.dataPaths)this.dataPaths[t].attr("d",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr("display",i).attr("transform",n)}},{"../../components/color":361,"../../components/dragelement":380,"../../components/drawing":383,"../../components/fx":401,"../../lib":498,"../../lib/geo_location_utils":491,"../../lib/topojson_utils":527,"../../registry":633,"../cartesian/autorange":548,"../cartesian/axes":549,"../cartesian/select":570,"../plots":614,"./constants":582,"./zoom":587,"@plotly/d3":58,"d3-geo":109,"d3-geo-projection":108,"topojson-client":310}],584:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getSubplotCalcData,i=t("../../lib").counterRegex,a=t("./geo"),o="geo",s=i(o),l={};l.geo={valType:"subplotid",dflt:o,editType:"calc"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{"../../lib":498,"../../plots/get_data":588,"./geo":583,"./layout_attributes":585,"./layout_defaults":586}],585:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../domain").attributes,a=t("./constants"),o=t("../../plot_api/edit_types").overrideAll,s=t("../../lib/sort_object_keys"),l={range:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},showgrid:{valType:"boolean",dflt:!1},tick0:{valType:"number",dflt:0},dtick:{valType:"number"},gridcolor:{valType:"color",dflt:n.lightLine},gridwidth:{valType:"number",min:0,dflt:1}};(e.exports=o({domain:i({name:"geo"},{}),fitbounds:{valType:"enumerated",values:[!1,"locations","geojson"],dflt:!1,editType:"plot"},resolution:{valType:"enumerated",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:"enumerated",values:s(a.scopeDefaults),dflt:"world"},projection:{type:{valType:"enumerated",values:s(a.projNames)},rotation:{lon:{valType:"number"},lat:{valType:"number"},roll:{valType:"number"}},tilt:{valType:"number",dflt:0},distance:{valType:"number",min:1.001,dflt:2},parallels:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},scale:{valType:"number",min:0,dflt:1}},center:{lon:{valType:"number"},lat:{valType:"number"}},visible:{valType:"boolean",dflt:!0},showcoastlines:{valType:"boolean"},coastlinecolor:{valType:"color",dflt:n.defaultLine},coastlinewidth:{valType:"number",min:0,dflt:1},showland:{valType:"boolean",dflt:!1},landcolor:{valType:"color",dflt:a.landColor},showocean:{valType:"boolean",dflt:!1},oceancolor:{valType:"color",dflt:a.waterColor},showlakes:{valType:"boolean",dflt:!1},lakecolor:{valType:"color",dflt:a.waterColor},showrivers:{valType:"boolean",dflt:!1},rivercolor:{valType:"color",dflt:a.waterColor},riverwidth:{valType:"number",min:0,dflt:1},showcountries:{valType:"boolean"},countrycolor:{valType:"color",dflt:n.defaultLine},countrywidth:{valType:"number",min:0,dflt:1},showsubunits:{valType:"boolean"},subunitcolor:{valType:"color",dflt:n.defaultLine},subunitwidth:{valType:"number",min:0,dflt:1},showframe:{valType:"boolean"},framecolor:{valType:"color",dflt:n.defaultLine},framewidth:{valType:"number",min:0,dflt:1},bgcolor:{valType:"color",dflt:n.background},lonaxis:l,lataxis:l},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color/attributes":360,"../../lib/sort_object_keys":521,"../../plot_api/edit_types":531,"../domain":579,"./constants":582}],586:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../subplot_defaults"),a=t("../get_data").getSubplotData,o=t("./constants"),s=t("./layout_attributes"),l=o.axesNames;function c(t,e,r,i){var s=a(i.fullData,"geo",i.id).map((function(t){return t._expandedIndex})),c=r("resolution"),u=r("scope"),f=o.scopeDefaults[u],h=r("projection.type",f.projType),p=e._isAlbersUsa="albers usa"===h;p&&(u=e.scope="usa");var d=e._isScoped="world"!==u,m=e._isSatellite="satellite"===h,g=e._isConic=-1!==h.indexOf("conic")||"albers"===h,v=e._isClipped=!!o.lonaxisSpan[h];if(!1===t.visible){var y=n.extendDeep({},e._template);y.showcoastlines=!1,y.showcountries=!1,y.showframe=!1,y.showlakes=!1,y.showland=!1,y.showocean=!1,y.showrivers=!1,y.showsubunits=!1,y.lonaxis&&(y.lonaxis.showgrid=!1),y.lataxis&&(y.lataxis.showgrid=!1),e._template=y}for(var x=r("visible"),b=0;b<l.length;b++){var _,w=l[b],T=[30,10][b];if(d)_=f[w+"Range"];else{var k=o[w+"Span"],A=(k[h]||k["*"])/2,M=r("projection.rotation."+w.substr(0,3),f.projRotate[b]);_=[M-A,M+A]}var S=r(w+".range",_);r(w+".tick0"),r(w+".dtick",T),r(w+".showgrid",!!x&&void 0)&&(r(w+".gridcolor"),r(w+".gridwidth")),e[w]._ax={type:"linear",_id:w.slice(0,3),_traceIndices:s,setScale:n.identity,c2l:n.identity,r2l:n.identity,autorange:!0,range:S.slice(),_m:1,_input:{}}}var E=e.lonaxis.range,L=e.lataxis.range,C=E[0],P=E[1];C>0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r("projection.rotation.lon",R[0]),r("projection.rotation.lat",R[1]),r("projection.rotation.roll",R[2]),r("showcoastlines",!d&&x)&&(r("coastlinecolor"),r("coastlinewidth")),r("showocean",!!x&&void 0)&&r("oceancolor")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r("center.lon",O),r("center.lat",z),m&&(r("projection.tilt"),r("projection.distance")),g)&&r("projection.parallels",f.projParallels||[0,60]);r("projection.scale"),r("showland",!!x&&void 0)&&r("landcolor"),r("showlakes",!!x&&void 0)&&r("lakecolor"),r("showrivers",!!x&&void 0)&&(r("rivercolor"),r("riverwidth")),r("showcountries",d&&"usa"!==u&&x)&&(r("countrycolor"),r("countrywidth")),("usa"===u||"north america"===u&&50===c)&&(r("showsubunits",x),r("subunitcolor"),r("subunitwidth")),d||r("showframe",x)&&(r("framecolor"),r("framewidth")),r("bgcolor"),r("fitbounds")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):v?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}e.exports=function(t,e,r){i(t,e,r,{type:"geo",attributes:s,handleDefaults:c,fullData:r,partition:"y"})}},{"../../lib":498,"../get_data":588,"../subplot_defaults":627,"./constants":582,"./layout_attributes":585}],587:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../registry"),o=Math.PI/180,s=180/Math.PI,l={cursor:"pointer"},c={cursor:"auto"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],f={},h={};function p(t,e){f[n+"."+t]=i.nestedProperty(l,t).get(),a.call("_storeDirectGUIEdit",s,c._preGUI,f);var r=i.nestedProperty(u,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+"."+t]=e)}r(p),p("projection.scale",e.scale()/t.fitScale),p("fitbounds",!1),o.emit("plotly_relayout",h)}function h(t,e){var r=u(0,e);function i(r){var n=e.invert(t.midPt);r("center.lon",n[0]),r("center.lat",n[1])}return r.on("zoomstart",(function(){n.select(this).style(l)})).on("zoom",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render();var r=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":r[0],"geo.center.lat":r[1]})})).on("zoomend",(function(){n.select(this).style(c),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,m,g=u(0,e);function v(t){return e.invert(t)}function y(r){var n=e.rotate(),i=e.invert(t.midPt);r("projection.rotation.lon",-n[0]),r("center.lon",i[0]),r("center.lat",i[1])}return g.on("zoomstart",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=v(r)})).on("zoom",(function(){if(h=n.mouse(this),function(t){var r=v(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?v(h)&&(d=v(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=v(r=h),m=!0,t.render();var l=e.rotate(),c=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":c[0],"geo.center.lat":c[1],"geo.projection.rotation.lon":-l[0]})})).on("zoomend",(function(){n.select(this).style(c),m&&f(t,e,y)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=u(0,e),o=function(t){var e=0,r=arguments.length,i=[];for(;++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,"zoomstart","zoom","zoomend"),s=0,h=a.on;function p(t){s++||t({type:"zoomstart"})}function d(t){t({type:"zoom"})}function b(t){--s||t({type:"zoomend"})}function _(t){var r=e.rotate();t("projection.rotation.lon",-r[0]),t("projection.rotation.lat",-r[1])}return a.on("zoomstart",(function(){n.select(this).style(l);var t=n.mouse(this),s=e.rotate(),c=s,u=e.translate(),f=g(s);r=m(e,t),h.call(a,"zoom",(function(){var a=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(m(e,a)){e.rotate(s).translate(u);var l=m(e,a),h=y(r,l),p=T(v(f,h)),g=i.r=x(p,r,c);isFinite(g[0])&&isFinite(g[1])&&isFinite(g[2])||(g=c),e.rotate(g),c=g}}else r=m(e,t=a);d(o.of(this,arguments))})),p(o.of(this,arguments))})).on("zoomend",(function(){n.select(this).style(c),h.call(a,"zoom",null),b(o.of(this,arguments)),f(t,e,_)})).on("zoom.redraw",(function(){t.render();var r=e.rotate();t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.projection.rotation.lon":-r[0],"geo.projection.rotation.lat":-r[1]})})),n.rebind(a,o,"on")}function m(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t){var e=.5*t[0]*o,r=.5*t[1]*o,n=.5*t[2]*o,i=Math.sin(e),a=Math.cos(e),s=Math.sin(r),l=Math.cos(r),c=Math.sin(n),u=Math.cos(n);return[a*l*u+i*s*c,i*l*u-a*s*c,a*s*u+i*l*c,a*l*c-i*s*u]}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},{"../../lib":498,"../../registry":633,"@plotly/d3":58}],588:[function(t,e,r){"use strict";var n=t("../registry"),i=t("./cartesian/constants").SUBPLOT_PATTERN;r.getSubplotCalcData=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},r.getModuleCalcData=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if("gl2d"===e){var u=r.match(i);o="x"+u[1],s="y"+u[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{"../registry":633,"./cartesian/constants":556}],589:[function(t,e,r){"use strict";var n=t("mouse-change"),i=t("mouse-wheel"),a=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{"../cartesian/constants":556,"has-passive-events":224,"mouse-change":236,"mouse-event-offset":237,"mouse-wheel":239}],590:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,f=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":523,"../cartesian/axes":549}],591:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,"gl2d",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../plot_api/edit_types":531,"../cartesian":563,"../cartesian/attributes":547,"../cartesian/constants":556,"../get_data":588,"../layout_attributes":605,"./scene2d":592}],592:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("../../../stackgl_modules").gl_plot2d,c=t("../../../stackgl_modules").gl_spikes2d,u=t("../../../stackgl_modules").gl_select_box,f=t("webgl-context"),h=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),m=t("../cartesian/constraints"),g=m.enforce,v=m.clean,y=t("../cartesian/autorange").doAutoRange,x=t("../../components/dragelement/helpers"),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=t("../cartesian/constants").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=u.h*(h[1]-h[0])+"px",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+"px",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(m.traceCoord[0]=void 0),-1===x.indexOf("y")&&(m.traceCoord[1]=void 0),-1===x.indexOf("z")&&(m.traceCoord[2]=void 0),-1===x.indexOf("text")&&(m.textLabel=void 0),-1===x.indexOf("name")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter("xaxis",m.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,"bgcolor")||m.color,borderColor:s.castHoverOption(g,v,"bordercolor"),fontFamily:s.castHoverOption(g,v,"font.family"),fontSize:s.castHoverOption(g,v,"font.size"),fontColor:s.castHoverOption(g,v,"font.color"),nameLength:s.castHoverOption(g,v,"namelength"),textAlign:s.castHoverOption(g,v,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../../stackgl_modules":1119,"../../components/dragelement/helpers":379,"../../components/fx":401,"../../lib/show_no_webgl_msg":520,"../../plots/cartesian/axes":549,"../../registry":633,"../cartesian/autorange":548,"../cartesian/constants":556,"../cartesian/constraints":557,"./camera":589,"./convert":590,"webgl-context":326}],593:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":402,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../plot_api/edit_types":531,"../get_data":588,"./layout/attributes":594,"./layout/defaults":598,"./layout/layout_attributes":599,"./scene":603}],594:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],595:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":361,"../../../lib/extend":488,"../../../plot_api/edit_types":531,"../../cartesian/layout_attributes":564}],596:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,13600/187).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},{"../../../lib":498,"../../../plot_api/plot_template":538,"../../cartesian/axis_defaults":551,"../../cartesian/type_defaults":577,"./axis_attributes":595,tinycolor2:307}],597:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":498,"../../../lib/str2rgbarray":523}],598:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData;function u(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),u=["up","center","eye"],f=0;f<u.length;f++)r("camera."+u[f]+".x"),r("camera."+u[f]+".y"),r("camera."+u[f]+".z");r("camera.projection.type");var h=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),p=r("aspectmode",h?"manual":"auto");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===p&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var d=c(n.fullData,"gl3d",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var m=n.getDfltFromLayout("dragmode");if(!1!==m&&!m)if(m="orbit",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m="turntable"):m="turntable")}else m="turntable";r("dragmode",m),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:"gl3d",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":361,"../../../lib":498,"../../../registry":633,"../../get_data":588,"../../subplot_defaults":627,"./axis_defaults":596,"./layout_attributes":599}],599:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":498,"../../../lib/extend":488,"../../domain":579,"./axis_attributes":595}],600:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":523}],601:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":498,"../../cartesian/axes":549}],602:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],603:[function(t,e,r){"use strict";var n,i,a=t("../../../stackgl_modules").gl_plot3d,o=a.createCamera,s=a.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),f=t("../../lib"),h=f.preserveDrawingBuffer(),p=t("../../plots/cartesian/axes"),d=t("../../components/fx"),m=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),v=t("./project"),y=t("./layout/convert"),x=t("./layout/spikes"),b=t("./layout/tick_marks");function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)"skip"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(u.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: "+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,"bgcolor")||u.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],u=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if("cube"===I)d=[1,1,1];else if("manual"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated types");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d="data"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+".camera").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+".aspectratio").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement("canvas");o.width=r,o.height=i;var s,l=o.getContext("2d"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},p.setConvert(this._mockAxis,t)},e.exports=_},{"../../../stackgl_modules":1119,"../../components/fx":401,"../../lib":498,"../../lib/show_no_webgl_msg":520,"../../lib/str2rgbarray":523,"../../plots/cartesian/axes":549,"../../registry":633,"./layout/convert":597,"./layout/spikes":600,"./layout/tick_marks":601,"./project":602,"has-passive-events":224,"webgl-context":326}],604:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],605:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("./animation_attributes"),a=t("../components/color/attributes"),o=t("../components/shapes/draw_newshape/attributes"),s=t("./pad_attributes"),l=t("../lib/extend").extendFlat,c=n({editType:"calc"});c.family.dflt='"Open Sans", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:"string",editType:"layoutstyle"},font:n({editType:"layoutstyle"}),xref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},yref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle"},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle"},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle"},yanchor:{valType:"enumerated",dflt:"auto",values:["auto","top","middle","bottom"],editType:"layoutstyle"},pad:l(s({editType:"layoutstyle"}),{}),editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot"},minsize:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"plot"},height:{valType:"number",min:10,dflt:450,editType:"plot"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot"},r:{valType:"number",min:0,dflt:80,editType:"plot"},t:{valType:"number",min:0,dflt:100,editType:"plot"},b:{valType:"number",min:0,dflt:80,editType:"plot"},pad:{valType:"number",min:0,dflt:0,editType:"plot"},autoexpand:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},computed:{valType:"any",editType:"none"},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle"},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc"},separators:{valType:"string",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},showlegend:{valType:"boolean",editType:"legend"},colorway:{valType:"colorlist",dflt:a.defaults,editType:"calc"},datarevision:{valType:"any",editType:"calc"},uirevision:{valType:"any",editType:"none"},editrevision:{valType:"any",editType:"none"},selectionrevision:{valType:"any",editType:"none"},template:{valType:"any",editType:"calc"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:"any",arrayOk:!0,editType:"plot"},transition:l({},i.transition,{editType:"none"}),_deprecated:{title:{valType:"string",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"})}}},{"../components/color/attributes":360,"../components/shapes/draw_newshape/attributes":446,"../lib/extend":488,"./animation_attributes":543,"./font_attributes":580,"./pad_attributes":613}],606:[function(t,e,r){"use strict";var n=t("../../lib/sort_object_keys"),i='\xa9 <a target="_blank" href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors',a=['\xa9 <a target="_blank" href="https://carto.com/">Carto</a>',i].join(" "),o=['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://www.openstreetmap.org/copyright">ODbL</a>'].join(" "),s={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:i,tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>'].join(" "),tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:","  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",l.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z",path1:"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z",path2:"M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z",polygon:"11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34"},styleRules:{map:"overflow:hidden;position:relative;","missing-css":"display:none;",canary:"background-color:salmon;","ctrl-bottom-left":"position: absolute; pointer-events: none; z-index: 2; bottom: 0; left: 0;","ctrl-bottom-right":"position: absolute; pointer-events: none; z-index: 2; right: 0; bottom: 0;",ctrl:"clear: both; pointer-events: auto; transform: translate(0, 0);","ctrl-attrib.mapboxgl-compact .mapboxgl-ctrl-attrib-inner":"display: none;","ctrl-attrib.mapboxgl-compact:hover .mapboxgl-ctrl-attrib-inner":"display: block; margin-top:2px","ctrl-attrib.mapboxgl-compact:hover":"padding: 2px 24px 2px 4px; visibility: visible; margin-top: 6px;","ctrl-attrib.mapboxgl-compact::after":'content: ""; cursor: pointer; position: absolute; background-image: url(\'data:image/svg+xml;charset=utf-8,%3Csvg viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"%3E %3Cpath fill="%23333333" fill-rule="evenodd" d="M4,10a6,6 0 1,0 12,0a6,6 0 1,0 -12,0 M9,7a1,1 0 1,0 2,0a1,1 0 1,0 -2,0 M9,10a1,1 0 1,1 2,0l0,3a1,1 0 1,1 -2,0"/%3E %3C/svg%3E\'); background-color: rgba(255, 255, 255, 0.5); width: 24px; height: 24px; box-sizing: border-box; border-radius: 12px;',"ctrl-attrib.mapboxgl-compact":"min-height: 20px; padding: 0; margin: 10px; position: relative; background-color: #fff; border-radius: 3px 12px 12px 3px;","ctrl-bottom-right > .mapboxgl-ctrl-attrib.mapboxgl-compact::after":"bottom: 0; right: 0","ctrl-bottom-left > .mapboxgl-ctrl-attrib.mapboxgl-compact::after":"bottom: 0; left: 0","ctrl-bottom-left .mapboxgl-ctrl":"margin: 0 0 10px 10px; float: left;","ctrl-bottom-right .mapboxgl-ctrl":"margin: 0 10px 10px 0; float: right;","ctrl-attrib":"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px","ctrl-attrib a":"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px","ctrl-attrib a:hover":"color: inherit; text-decoration: underline;","ctrl-attrib .mapbox-improve-map":"font-weight: bold; margin-left: 2px;","attrib-empty":"display: none;","ctrl-logo":'display:block; width: 21px; height: 21px; background-image: url(\'data:image/svg+xml;charset=utf-8,%3C?xml version="1.0" encoding="utf-8"?%3E %3Csvg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 21 21" style="enable-background:new 0 0 21 21;" xml:space="preserve"%3E%3Cg transform="translate(0,0.01)"%3E%3Cpath d="m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z" style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3Cpath d="M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpath d="M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpolygon points="11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34 " style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3C/g%3E%3C/svg%3E\')'}}},{"../../lib/sort_object_keys":521}],607:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t.split(" "),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=["",""],u=[0,0];switch(i){case"top":c[0]="top",u[1]=-l;break;case"bottom":c[0]="bottom",u[1]=l}switch(a){case"left":c[1]="right",u[0]=-s;break;case"right":c[1]="left",u[0]=s}return{anchor:c[0]&&c[1]?c.join("-"):c[0]?c[0]:c[1]?c[1]:"center",offset:u}}},{"../../lib":498}],608:[function(t,e,r){"use strict";var n=t("mapbox-gl/dist/mapbox-gl-unminified"),i=t("../../lib"),a=i.strTranslate,o=i.strScale,s=t("../../plots/get_data").getSubplotCalcData,l=t("../../constants/xmlns_namespaces"),c=t("@plotly/d3"),u=t("../../components/drawing"),f=t("../../lib/svg_text_utils"),h=t("./mapbox"),p=r.constants=t("./constants");function d(t){return"string"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf("mapbox://"))}r.name="mapbox",r.attr="subplot",r.idRoot="mapbox",r.idRegex=r.attrRegex=i.counterRegex("mapbox"),r.attributes={subplot:{valType:"subplotid",dflt:"mapbox",editType:"calc"}},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(""===t._context.mapboxAccessToken)return"";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error("Uses Mapbox map style, but did not set an access token."),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return n.length?(n.length>1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log(["Listed mapbox access token(s)",a.join(","),"but did not use a Mapbox map style, ignoring token(s)."].join(" ")),"")}(t,a);n.accessToken=o;for(var l=0;l<a.length;l++){var c=a[l],u=s(r,"mapbox",c),f=e[c],m=f._subplot;m||(m=new h(t,c),e[c]._subplot=m),m.viewInitial||(m.viewInitial={center:i.extendFlat({},f.center),zoom:f.zoom,bearing:f.bearing,pitch:f.pitch}),m.plot(u,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.mapbox||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._subplot&&n[o]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=e._size,i=0;i<r.length;i++){var s=e[r[i]],h=s.domain,d=s._subplot.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":d,x:n.l+n.w*h.x[0],y:n.t+n.h*(1-h.y[1]),width:n.w*(h.x[1]-h.x[0]),height:n.h*(h.y[1]-h.y[0]),preserveAspectRatio:"none"});var m=c.select(s._subplot.div);if(!(null===m.select(".mapboxgl-ctrl-logo").node().offsetParent)){var g=e._glimages.append("g");g.attr("transform",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append("path").attr("d",p.mapboxLogo.path0).style({opacity:.9,fill:"#ffffff","enable-background":"new"}),g.append("path").attr("d",p.mapboxLogo.path1).style("opacity",.35).style("enable-background","new"),g.append("path").attr("d",p.mapboxLogo.path2).style("opacity",.35).style("enable-background","new"),g.append("polygon").attr("points",p.mapboxLogo.polygon).style({opacity:.9,fill:"#ffffff","enable-background":"new"})}var v=m.select(".mapboxgl-ctrl-attrib").text().replace("Improve this map",""),y=e._glimages.append("g"),x=y.append("text");x.text(v).classed("static-attribution",!0).attr({"font-size":12,"font-family":"Arial",color:"rgba(0, 0, 0, 0.75)","text-anchor":"end","data-unformatted":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split("|").join("<br>");x.text(w).attr("data-unformatted",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr("transform",a(-3,8-b.height)),y.insert("rect",".static-attribution").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:"rgba(255, 255, 255, 0.75)"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr("transform",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{"../../components/drawing":383,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/get_data":588,"./constants":606,"./layout_attributes":610,"./layout_defaults":611,"./mapbox":612,"@plotly/d3":58,"mapbox-gl/dist/mapbox-gl-unminified":234}],609:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../lib/svg_text_utils").sanitizeHTML,a=t("./convert_text_opts"),o=t("./constants");function s(t,e){this.subplot=t,this.uid=t.uid+"-"+e,this.index=e,this.idSource="source-"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if("string"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||"string"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case"circle":n.extendFlat(r,{"circle-radius":t.circle.radius,"circle-color":t.color,"circle-opacity":t.opacity});break;case"line":n.extendFlat(r,{"line-width":t.line.width,"line-color":t.color,"line-opacity":t.opacity,"line-dasharray":t.line.dash});break;case"fill":n.extendFlat(r,{"fill-color":t.color,"fill-outline-color":t.fill.outlinecolor,"fill-opacity":t.opacity});break;case"symbol":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{"icon-image":i.icon+"-15","icon-size":i.iconsize/10,"text-field":i.text,"text-size":i.textfont.size,"text-anchor":o.anchor,"text-offset":o.offset,"symbol-placement":i.placement}),n.extendFlat(r,{"icon-color":t.color,"text-color":i.textfont.color,"text-opacity":t.opacity});break;case"raster":n.extendFlat(r,{"raster-fade-duration":0,"raster-opacity":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&"image"===this.sourceType&&"image"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup["layout-"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup["layout-"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};"geojson"===r?e="data":"vector"===r?e="string"==typeof n?"url":"tiles":"raster"===r?(e="tiles",a.tileSize=256):"image"===r&&(e="url",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if("traces"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if("string"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,"source-layer":t.sourcelayer||"",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,"setLayoutProperty",e.layout),this.subplot.setOptions(this.idLayer,"setPaintProperty",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{"../../lib":498,"../../lib/svg_text_utils":524,"./constants":606,"./convert_text_opts":607}],610:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color").defaultLine,a=t("../domain").attributes,o=t("../font_attributes"),s=t("../../traces/scatter/attributes").textposition,l=t("../../plot_api/edit_types").overrideAll,c=t("../../plot_api/plot_template").templatedArray,u=t("./constants"),f=o({});f.family.dflt="Open Sans Regular, Arial Unicode MS Regular",(e.exports=l({_arrayAttrRegexps:[n.counterRegex("mapbox",".layers",!0)],domain:a({name:"mapbox"}),accesstoken:{valType:"string",noBlank:!0,strict:!0},style:{valType:"any",values:u.styleValuesMapbox.concat(u.styleValuesNonMapbox),dflt:u.styleValueDflt},center:{lon:{valType:"number",dflt:0},lat:{valType:"number",dflt:0}},zoom:{valType:"number",dflt:1},bearing:{valType:"number",dflt:0},pitch:{valType:"number",dflt:0},layers:c("layer",{visible:{valType:"boolean",dflt:!0},sourcetype:{valType:"enumerated",values:["geojson","vector","raster","image"],dflt:"geojson"},source:{valType:"any"},sourcelayer:{valType:"string",dflt:""},sourceattribution:{valType:"string"},type:{valType:"enumerated",values:["circle","line","fill","symbol","raster"],dflt:"circle"},coordinates:{valType:"any"},below:{valType:"string"},color:{valType:"color",dflt:i},opacity:{valType:"number",min:0,max:1,dflt:1},minzoom:{valType:"number",min:0,max:24,dflt:0},maxzoom:{valType:"number",min:0,max:24,dflt:24},circle:{radius:{valType:"number",dflt:15}},line:{width:{valType:"number",dflt:2},dash:{valType:"data_array"}},fill:{outlinecolor:{valType:"color",dflt:i}},symbol:{icon:{valType:"string",dflt:"marker"},iconsize:{valType:"number",dflt:10},text:{valType:"string",dflt:""},placement:{valType:"enumerated",values:["point","line","line-center"],dflt:"point"},textfont:f,textposition:n.extendFlat({},s,{arrayOk:!1})}})},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color":361,"../../lib":498,"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../../traces/scatter/attributes":922,"../domain":579,"../font_attributes":580,"./constants":606}],611:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../subplot_defaults"),a=t("../array_container_defaults"),o=t("./layout_attributes");function s(t,e,r,n){r("accesstoken",n.accessToken),r("style"),r("center.lon"),r("center.lat"),r("zoom"),r("bearing"),r("pitch"),a(t,e,{name:"layers",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r("visible")){var i,a=r("sourcetype"),s="raster"===a||"image"===a;r("source"),r("sourceattribution"),"vector"===a&&r("sourcelayer"),"image"===a&&r("coordinates"),s&&(i="raster");var l=r("type",i);s&&"raster"!==l&&(l=e.type="raster",n.log("Source types *raster* and *image* must drawn *raster* layer type.")),r("below"),r("color"),r("opacity"),r("minzoom"),r("maxzoom"),"circle"===l&&r("circle.radius"),"line"===l&&(r("line.width"),r("line.dash")),"fill"===l&&r("fill.outlinecolor"),"symbol"===l&&(r("symbol.icon"),r("symbol.iconsize"),r("symbol.text"),n.coerceFont(r,"symbol.textfont"),r("symbol.textposition"),r("symbol.placement"))}}e.exports=function(t,e,r){i(t,e,r,{type:"mapbox",attributes:o,handleDefaults:s,partition:"y",accessToken:e._mapboxAccessToken})}},{"../../lib":498,"../array_container_defaults":544,"../subplot_defaults":627,"./layout_attributes":610}],612:[function(t,e,r){"use strict";var n=t("mapbox-gl/dist/mapbox-gl-unminified"),i=t("../../lib"),a=t("../../lib/geo_location_utils"),o=t("../../registry"),s=t("../cartesian/axes"),l=t("../../components/dragelement"),c=t("../../components/fx"),u=t("../../components/dragelement/helpers"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t("../cartesian/select").prepSelect,m=t("../cartesian/select").clearSelect,g=t("../cartesian/select").clearSelectionsCache,v=t("../cartesian/select").selectOnClick,y=t("./constants"),x=t("./layers");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+"-"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left="0px",c._canvas.style.top="0px",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once("load",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once("styledata",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;"string"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),""===n&&(o=!0),a["trace-"+s.uid]=n||""}for(r=0;r<i.length;r++){var c=i[r];n="string"==typeof c.below?c.below:o?"traces":"",a["layout-"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf("trace-")?(f=u.split("trace-")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf("layout-")&&(f=u.split("layout-")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):"string"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+"-"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on("render",(function r(){e.loaded()&&(e.off("render",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once("error",r),e.once("style.error",r),e.once("source.error",r),e.once("tile.error",r),e.once("layer.error",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement("div");r.id=e.uid,r.style.position="absolute",e.container.appendChild(r),e.xaxis={_id:"x",c2p:function(t){return e.project(t).x}},e.yaxis={_id:"y",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit("plotly_relayouting",r.getViewEditsWithDerived(t))}i.on("moveend",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call("_storeDirectGUIEdit",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit("plotly_relayout",r.getViewEditsWithDerived(a))}t.originalEvent&&"mouseup"===t.originalEvent.type?r.dragging=!1:r.wheeling&&(r.wheeling=!1),e._rehover&&e._rehover()}})),i.on("wheel",(function(){r.wheeling=!0})),i.on("mousemove",(function(t){var e=r.div.getBoundingClientRect(),a=[t.originalEvent.offsetX,t.originalEvent.offsetY];t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return i.unproject(a).lng},r.yaxis.p2c=function(){return i.unproject(a).lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&c.hover(n,t,r.id)},c.hover(n,t,r.id),n._fullLayout._hoversubplot=r.id})),i.on("dragstart",(function(){r.dragging=!0,a()})),i.on("zoomstart",a),i.on("mouseout",(function(){n._fullLayout._hoversubplot=null})),i.on("drag",s),i.on("zoom",s),i.on("dblclick",(function(){var t=n._fullLayout[r.id];o.call("_storeDirectGUIEdit",n.layout,n._fullLayout._preGUI,r.getViewEdits(t));var e=r.viewInitial;i.setCenter(A(e.center)),i.setZoom(e.zoom),i.setBearing(e.bearing),i.setPitch(e.pitch);var a=r.getView();t._input.center=t.center=a.center,t._input.zoom=t.zoom=a.zoom,t._input.bearing=t.bearing=a.bearing,t._input.pitch=t.pitch=a.pitch,n.emit("plotly_doubleclick",null),n.emit("plotly_relayout",r.getViewEditsWithDerived(a))})),r.clearSelect=function(){g(r.dragOptions),m(r.dragOptions.gd)},r.onClickInPanFn=function(t){return function(e){var i=n._fullLayout.clickmode;i.indexOf("select")>-1&&v(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf("event")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=f(o)?function(t,r){(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]}:function(t,r,n){(t.lassoPoints={})[e.id]=n.filtered.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off("click",e.onClickInPanHandler),p(o)||h(o)?(r.dragPan.disable(),r.on("zoomstart",e.clearSelect),e.dragOptions.prepFn=function(t,r,n){d(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off("zoomstart",e.clearSelect),e.div.onmousedown=null,e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on("click",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+"px",n.height=r.h*(e.y[1]-e.y[0])+"px",n.left=r.l+e.x[0]*r.w+"px",n.top=r.t+(1-e.y[1])*r.h+"px",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(x(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if("string"==typeof e){if(""===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn(["Trying to add layer with *below* value",e,"referencing a layer that does not exist","or that does not yet exist."].join(" "))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=["center","zoom","bearing","pitch"],n={},i=0;i<r.length;i++){var a=r[i];n[e+"."+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+"._derived"]=t._derived,r},e.exports=b},{"../../components/dragelement":380,"../../components/dragelement/helpers":379,"../../components/fx":401,"../../lib":498,"../../lib/geo_location_utils":491,"../../registry":633,"../cartesian/axes":549,"../cartesian/select":570,"./constants":606,"./layers":609,"mapbox-gl/dist/mapbox-gl-unminified":234}],613:[function(t,e,r){"use strict";e.exports=function(t){var e=t.editType;return{t:{valType:"number",dflt:0,editType:e},r:{valType:"number",dflt:0,editType:e},b:{valType:"number",dflt:0,editType:e},l:{valType:"number",dflt:0,editType:e},editType:e}}},{}],614:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-time-format").timeFormatLocale,a=t("d3-format").formatLocale,o=t("fast-isnumeric"),s=t("../registry"),l=t("../plot_api/plot_schema"),c=t("../plot_api/plot_template"),u=t("../lib"),f=t("../components/color"),h=t("../constants/numerical").BADNUM,p=t("./cartesian/axis_ids"),d=t("./cartesian/handle_outline").clearSelect,m=t("./animation_attributes"),g=t("./frame_attributes"),v=t("../plots/get_data").getModuleCalcData,y=u.relinkPrivateKeys,x=u._,b=e.exports={};u.extendFlat(b,s),b.attributes=t("./attributes"),b.attributes.type.values=b.allTypes,b.fontAttrs=t("./font_attributes"),b.layoutAttributes=t("./layout_attributes"),b.fontWeight="normal";var _=b.transformsRegistry,w=t("./command");b.executeAPICommand=w.executeAPICommand,b.computeAPICommandBindings=w.computeAPICommandBindings,b.manageCommandObserver=w.manageCommandObserver,b.hasSimpleAPICommandBindings=w.hasSimpleAPICommandBindings,b.redrawText=function(t){return t=u.getGraphDiv(t),new Promise((function(e){setTimeout((function(){t._fullLayout&&(s.getComponentMethod("annotations","draw")(t),s.getComponentMethod("legend","draw")(t),s.getComponentMethod("colorbar","draw")(t),e(b.previousPromises(t)))}),300)}))},b.resize=function(t){var e;t=u.getGraphDiv(t);var r=new Promise((function(r,n){t&&!u.isHidden(t)||n(new Error("Resize must be passed a displayed plot div element.")),t._redrawTimer&&clearTimeout(t._redrawTimer),t._resolveResize&&(e=t._resolveResize),t._resolveResize=r,t._redrawTimer=setTimeout((function(){if(!t.layout||t.layout.width&&t.layout.height||u.isHidden(t))r(t);else{delete t.layout.width,delete t.layout.height;var e=t.changed;t.autoplay=!0,s.call("relayout",t,{autosize:!0}).then((function(){t.changed=e,t._resolveResize===r&&(delete t._resolveResize,r(t))}))}}),100)}));return e&&e(r),r},b.previousPromises=function(t){if((t._promises||[]).length)return Promise.all(t._promises).then((function(){t._promises=[]}))},b.addLinks=function(t){if(t._context.showLink||t._context.showSources){var e=t._fullLayout,r=u.ensureSingle(e._paper,"text","js-plot-link-container",(function(t){t.style({"font-family":'"Open Sans", Arial, sans-serif',"font-size":"12px",fill:f.defaultLine,"pointer-events":"all"}).each((function(){var t=n.select(this);t.append("tspan").classed("js-link-to-tool",!0),t.append("tspan").classed("js-link-spacer",!0),t.append("tspan").classed("js-sourcelinks",!0)}))})),i=r.node(),a={y:e._paper.attr("height")-9};document.body.contains(i)&&i.getComputedTextLength()>=e.width-20?(a["text-anchor"]="start",a.x=5):(a["text-anchor"]="end",a.x=e._paper.attr("width")-7),r.attr(a);var o=r.select(".js-link-to-tool"),s=r.select(".js-link-spacer"),l=r.select(".js-sourcelinks");t._context.showSources&&t._context.showSources(t),t._context.showLink&&function(t,e){e.text("");var r=e.append("a").attr({"xlink:xlink:href":"#",class:"link--impt link--embedview","font-weight":"bold"}).text(t._context.linkText+" "+String.fromCharCode(187));if(t._context.sendData)r.on("click",(function(){b.sendDataToCloud(t)}));else{var n=window.location.pathname.split("/"),i=window.location.search;r.attr({"xlink:xlink:show":"new","xlink:xlink:href":"/"+n[2].split(".")[0]+"/"+n[1]+i})}}(t,o),s.text(o.text()&&l.text()?" - ":"")}},b.sendDataToCloud=function(t){var e=(window.PLOTLYENV||{}).BASE_URL||t._context.plotlyServerURL;if(e){t.emit("plotly_beforeexport");var r=n.select(t).append("div").attr("id","hiddenform").style("display","none"),i=r.append("form").attr({action:e+"/external",method:"post",target:"_blank"});return i.append("input").attr({type:"text",name:"data"}).node().value=b.graphJson(t,!1,"keepdata"),i.node().submit(),r.remove(),t.emit("plotly_afterexport"),!1}};var T=["days","shortDays","months","shortMonths","periods","dateTime","date","time","decimal","thousands","grouping","currency"],k=["year","month","dayMonth","dayMonthYear"];function A(t,e){var r=t._context.locale;r||(r="en-US");var n=!1,i={};function a(t){for(var r=!0,a=0;a<e.length;a++){var o=e[a];i[o]||(t[o]?i[o]=t[o]:r=!1)}r&&(n=!0)}for(var o=0;o<2;o++){for(var l=t._context.locales,c=0;c<2;c++){var u=(l[r]||{}).format;if(u&&(a(u),n))break;l=s.localeRegistry}var f=r.split("-")[0];if(n||f===r)break;r=f}return n||a(s.localeRegistry.en.format),i}function M(t,e){var r={_fullLayout:e},n="x"===t._id.charAt(0),i=t._mainAxis._anchorAxis,a="",o="",s="";if(i&&(s=i._mainAxis._id,a=n?t._id+s:s+t._id),!a||!e._plots[a]){a="";for(var l=t._counterAxes,c=0;c<l.length;c++){var u=l[c],f=n?t._id+u:u+t._id;o||(o=f);var h=p.getFromId(r,u);if(s&&h.overlaying===s){a=f;break}}}return a||o}function S(t){var e=t.transforms;if(Array.isArray(e)&&e.length)for(var r=0;r<e.length;r++){var n=e[r],i=n._module||_[n.type];if(i&&i.makesData)return!0}return!1}function E(t,e,r,n){for(var i=t.transforms,a=[t],o=0;o<i.length;o++){var s=i[o],l=_[s.type];l&&l.transform&&(a=l.transform(a,{transform:s,fullTrace:t,fullData:e,layout:r,fullLayout:n,transformIndex:o}))}return a}function L(t){return"string"==typeof t&&"px"===t.substr(t.length-2)&&parseFloat(t)}function C(t){var e=t.margin;if(!t._size){var r=t._size={l:Math.round(e.l),r:Math.round(e.r),t:Math.round(e.t),b:Math.round(e.b),p:Math.round(e.pad)};r.w=Math.round(t.width)-r.l-r.r,r.h=Math.round(t.height)-r.t-r.b}t._pushmargin||(t._pushmargin={}),t._pushmarginIds||(t._pushmarginIds={})}b.supplyDefaults=function(t,e){var r=e&&e.skipUpdateCalc,n=t._fullLayout||{};if(n._skipDefaults)delete n._skipDefaults;else{var o,l=t._fullLayout={},c=t.layout||{},f=t._fullData||[],h=t._fullData=[],p=t.data||[],m=t.calcdata||[],g=t._context||{};t._transitionData||b.createTransitionData(t),l._dfltTitle={plot:x(t,"Click to enter Plot title"),x:x(t,"Click to enter X axis title"),y:x(t,"Click to enter Y axis title"),colorbar:x(t,"Click to enter Colorscale title"),annotation:x(t,"new text")},l._traceWord=x(t,"trace");var v=A(t,T);if(l._mapboxAccessToken=g.mapboxAccessToken,n._initialAutoSizeIsDone){var _=n.width,w=n.height;b.supplyLayoutGlobalDefaults(c,l,v),c.width||(l.width=_),c.height||(l.height=w),b.sanitizeMargins(l)}else{b.supplyLayoutGlobalDefaults(c,l,v);var M=!c.width||!c.height,S=l.autosize,E=g.autosizable;M&&(S||E)?b.plotAutoSize(t,c,l):M&&b.sanitizeMargins(l),!S&&M&&(c.width=l.width,c.height=l.height)}l._d3locale=function(t,e){return t.decimal=e.charAt(0),t.thousands=e.charAt(1),{numberFormat:function(e){try{e=a(t).format(u.adjustFormat(e))}catch(t){return u.warnBadFormat(e),u.noFormat}return e},timeFormat:i(t).utcFormat}}(v,l.separators),l._extraFormat=A(t,k),l._initialAutoSizeIsDone=!0,l._dataLength=p.length,l._modules=[],l._visibleModules=[],l._basePlotModules=[];var L=l._subplots=function(){var t,e,r=s.collectableSubplotTypes,n={};if(!r){r=[];var i=s.subplotsRegistry;for(var a in i){var o=i[a].attr;if(o&&(r.push(a),Array.isArray(o)))for(e=0;e<o.length;e++)u.pushUnique(r,o[e])}}for(t=0;t<r.length;t++)n[r[t]]=[];return n}(),P=l._splomAxes={x:{},y:{}},I=l._splomSubplots={};l._splomGridDflt={},l._scatterStackOpts={},l._firstScatter={},l._alignmentOpts={},l._colorAxes={},l._requestRangeslider={},l._traceUids=function(t,e){var r,n,i=e.length,a=[];for(r=0;r<t.length;r++){var o=t[r]._fullInput;o!==n&&a.push(o),n=o}var s=a.length,l=new Array(i),c={};function f(t,e){l[e]=t,c[t]=1}function h(t,e){if(t&&"string"==typeof t&&!c[t])return f(t,e),!0}for(r=0;r<i;r++){var p=e[r].uid;"number"==typeof p&&(p=String(p)),h(p,r)||(r<s&&h(a[r].uid,r)||f(u.randstr(c),r))}return l}(f,p),l._globalTransforms=(t._context||{}).globalTransforms,b.supplyDataDefaults(p,h,c,l);var O=Object.keys(P.x),z=Object.keys(P.y);if(O.length>1&&z.length>1){for(s.getComponentMethod("grid","sizeDefaults")(c,l),o=0;o<O.length;o++)u.pushUnique(L.xaxis,O[o]);for(o=0;o<z.length;o++)u.pushUnique(L.yaxis,z[o]);for(var D in I)u.pushUnique(L.cartesian,D)}if(l._has=b._hasPlotType.bind(l),f.length===h.length)for(o=0;o<h.length;o++)y(h[o],f[o]);b.supplyLayoutModuleDefaults(c,l,h,t._transitionData);var R=l._visibleModules,F=[];for(o=0;o<R.length;o++){var B=R[o].crossTraceDefaults;B&&u.pushUnique(F,B)}for(o=0;o<F.length;o++)F[o](h,l);l._hasOnlyLargeSploms=1===l._basePlotModules.length&&"splom"===l._basePlotModules[0].name&&O.length>15&&z.length>15&&0===l.shapes.length&&0===l.images.length,b.linkSubplots(h,l,f,n),b.cleanPlot(h,l,f,n);var N=!(!n._has||!n._has("gl2d")),j=!(!l._has||!l._has("gl2d")),U=!(!n._has||!n._has("cartesian"))||N,V=!(!l._has||!l._has("cartesian"))||j;U&&!V?n._bgLayer.remove():V&&!U&&(l._shouldCreateBgLayer=!0),n._zoomlayer&&!t._dragging&&d({_fullLayout:n}),function(t,e){var r,n=[];e.meta&&(r=e._meta={meta:e.meta,layout:{meta:e.meta}});for(var i=0;i<t.length;i++){var a=t[i];a.meta?n[a.index]=a._meta={meta:a.meta}:e.meta&&(a._meta={meta:e.meta}),e.meta&&(a._meta.layout={meta:e.meta})}n.length&&(r||(r=e._meta={}),r.data=n)}(h,l),y(l,n),s.getComponentMethod("colorscale","crossTraceDefaults")(h,l),l._preGUI||(l._preGUI={}),l._tracePreGUI||(l._tracePreGUI={});var H,q=l._tracePreGUI,G={};for(H in q)G[H]="old";for(o=0;o<h.length;o++)G[H=h[o]._fullInput.uid]||(q[H]={}),G[H]="new";for(H in G)"old"===G[H]&&delete q[H];C(l),s.getComponentMethod("rangeslider","makeData")(l),r||m.length!==h.length||b.supplyDefaultsUpdateCalc(m,h)}},b.supplyDefaultsUpdateCalc=function(t,e){for(var r=0;r<e.length;r++){var n=e[r],i=(t[r]||[])[0];if(i&&i.trace){var a=i.trace;if(a._hasCalcTransform){var o,s,l,c=a._arrayAttrs;for(o=0;o<c.length;o++)s=c[o],l=u.nestedProperty(a,s).get().slice(),u.nestedProperty(n,s).set(l)}i.trace=n}}},b.createTransitionData=function(t){t._transitionData||(t._transitionData={}),t._transitionData._frames||(t._transitionData._frames=[]),t._transitionData._frameHash||(t._transitionData._frameHash={}),t._transitionData._counter||(t._transitionData._counter=0),t._transitionData._interruptCallbacks||(t._transitionData._interruptCallbacks=[])},b._hasPlotType=function(t){var e,r=this._basePlotModules||[];for(e=0;e<r.length;e++)if(r[e].name===t)return!0;var n=this._modules||[];for(e=0;e<n.length;e++){var i=n[e].name;if(i===t)return!0;var a=s.modules[i];if(a&&a.categories[t])return!0}return!1},b.cleanPlot=function(t,e,r,n){var i,a,o=n._basePlotModules||[];for(i=0;i<o.length;i++){var s=o[i];s.clean&&s.clean(t,e,r,n)}var l=n._has&&n._has("gl"),c=e._has&&e._has("gl");l&&!c&&void 0!==n._glcontainer&&(n._glcontainer.selectAll(".gl-canvas").remove(),n._glcontainer.selectAll(".no-webgl").remove(),n._glcanvas=null);var u=!!n._infolayer;t:for(i=0;i<r.length;i++){var f=r[i].uid;for(a=0;a<t.length;a++){if(f===t[a].uid)continue t}u&&n._infolayer.select(".cb"+f).remove()}},b.linkSubplots=function(t,e,r,n){var i,a,o=n._plots||{},l=e._plots={},c=e._subplots,f={_fullData:t,_fullLayout:e},h=c.cartesian.concat(c.gl2d||[]);for(i=0;i<h.length;i++){var d,m=h[i],g=o[m],v=p.getFromId(f,m,"x"),y=p.getFromId(f,m,"y");for(g?d=l[m]=g:(d=l[m]={}).id=m,v._counterAxes.push(y._id),y._counterAxes.push(v._id),v._subplotsWith.push(m),y._subplotsWith.push(m),d.xaxis=v,d.yaxis=y,d._hasClipOnAxisFalse=!1,a=0;a<t.length;a++){var x=t[a];if(x.xaxis===d.xaxis._id&&x.yaxis===d.yaxis._id&&!1===x.cliponaxis){d._hasClipOnAxisFalse=!0;break}}}var b,_=p.list(f,null,!0);for(i=0;i<_.length;i++){var w=null;(b=_[i]).overlaying&&(w=p.getFromId(f,b.overlaying))&&w.overlaying&&(b.overlaying=!1,w=null),b._mainAxis=w||b,w&&(b.domain=w.domain.slice()),b._anchorAxis="free"===b.anchor?null:p.getFromId(f,b.anchor)}for(i=0;i<_.length;i++)if((b=_[i])._counterAxes.sort(p.idSort),b._subplotsWith.sort(u.subplotSort),b._mainSubplot=M(b,e),b._counterAxes.length&&(b.spikemode&&-1!==b.spikemode.indexOf("across")||b.automargin&&b.mirror&&"free"!==b.anchor||s.getComponentMethod("rangeslider","isVisible")(b))){var T=1,k=0;for(a=0;a<b._counterAxes.length;a++){var A=p.getFromId(f,b._counterAxes[a]);T=Math.min(T,A.domain[0]),k=Math.max(k,A.domain[1])}T<k&&(b._counterDomainMin=T,b._counterDomainMax=k)}},b.clearExpandedTraceDefaultColors=function(t){var e,r,n;for(r=[],(e=t._module._colorAttrs)||(t._module._colorAttrs=e=[],l.crawl(t._module.attributes,(function(t,n,i,a){r[a]=n,r.length=a+1,"color"===t.valType&&void 0===t.dflt&&e.push(r.join("."))}))),n=0;n<e.length;n++){u.nestedProperty(t,"_input."+e[n]).get()||u.nestedProperty(t,e[n]).set(null)}},b.supplyDataDefaults=function(t,e,r,n){var i,a,o,l=n._modules,f=n._visibleModules,h=n._basePlotModules,p=0,d=0;function m(t){e.push(t);var r=t._module;r&&(u.pushUnique(l,r),!0===t.visible&&u.pushUnique(f,r),u.pushUnique(h,t._module.basePlotModule),p++,!1!==t._input.visible&&d++)}n._transformModules=[];var g={},v=[],x=(r.template||{}).data||{},_=c.traceTemplater(x);for(i=0;i<t.length;i++){if(o=t[i],(a=_.newTrace(o)).uid=n._traceUids[i],b.supplyTraceDefaults(o,a,d,n,i),a.index=i,a._input=o,a._expandedIndex=p,a.transforms&&a.transforms.length)for(var w=!1!==o.visible&&!1===a.visible,T=E(a,e,r,n),k=0;k<T.length;k++){var A=T[k],M={_template:a._template,type:a.type,uid:a.uid+k};w&&!1===A.visible&&delete A.visible,b.supplyTraceDefaults(A,M,p,n,i),y(M,A),M.index=i,M._input=o,M._fullInput=a,M._expandedIndex=p,M._expandedInput=A,m(M)}else a._fullInput=a,a._expandedInput=a,m(a);s.traceIs(a,"carpetAxis")&&(g[a.carpet]=a),s.traceIs(a,"carpetDependent")&&v.push(i)}for(i=0;i<v.length;i++)if((a=e[v[i]]).visible){var S=g[a.carpet];a._carpet=S,S&&S.visible?(a.xaxis=S.xaxis,a.yaxis=S.yaxis):a.visible=!1}},b.supplyAnimationDefaults=function(t){var e;t=t||{};var r={};function n(e,n){return u.coerce(t||{},r,m,e,n)}if(n("mode"),n("direction"),n("fromcurrent"),Array.isArray(t.frame))for(r.frame=[],e=0;e<t.frame.length;e++)r.frame[e]=b.supplyAnimationFrameDefaults(t.frame[e]||{});else r.frame=b.supplyAnimationFrameDefaults(t.frame||{});if(Array.isArray(t.transition))for(r.transition=[],e=0;e<t.transition.length;e++)r.transition[e]=b.supplyAnimationTransitionDefaults(t.transition[e]||{});else r.transition=b.supplyAnimationTransitionDefaults(t.transition||{});return r},b.supplyAnimationFrameDefaults=function(t){var e={};function r(r,n){return u.coerce(t||{},e,m.frame,r,n)}return r("duration"),r("redraw"),e},b.supplyAnimationTransitionDefaults=function(t){var e={};function r(r,n){return u.coerce(t||{},e,m.transition,r,n)}return r("duration"),r("easing"),e},b.supplyFrameDefaults=function(t){var e={};function r(r,n){return u.coerce(t,e,g,r,n)}return r("group"),r("name"),r("traces"),r("baseframe"),r("data"),r("layout"),e},b.supplyTraceDefaults=function(t,e,r,n,i){var a,o=n.colorway||f.defaults,l=o[r%o.length];function c(r,n){return u.coerce(t,e,b.attributes,r,n)}var h=c("visible");c("type"),c("name",n._traceWord+" "+i),c("uirevision",n.uirevision);var p=b.getModule(e);if(e._module=p,p){var d=p.basePlotModule,m=d.attr,g=d.attributes;if(m&&g){var v=n._subplots,y="";if(h||"gl2d"!==d.name){if(Array.isArray(m))for(a=0;a<m.length;a++){var x=m[a],_=u.coerce(t,e,g,x);v[x]&&u.pushUnique(v[x],_),y+=_}else y=u.coerce(t,e,g,m);v[d.name]&&u.pushUnique(v[d.name],y)}}}return h&&(c("customdata"),c("ids"),c("meta"),s.traceIs(e,"showLegend")?(u.coerce(t,e,p.attributes.showlegend?p.attributes:b.attributes,"showlegend"),c("legendgroup"),c("legendgrouptitle.text"),c("legendrank"),e._dfltShowLegend=!0):e._dfltShowLegend=!1,p&&p.supplyDefaults(t,e,l,n),s.traceIs(e,"noOpacity")||c("opacity"),s.traceIs(e,"notLegendIsolatable")&&(e.visible=!!e.visible),s.traceIs(e,"noHover")||(e.hovertemplate||u.coerceHoverinfo(t,e,n),"parcats"!==e.type&&s.getComponentMethod("fx","supplyDefaults")(t,e,l,n)),p&&p.selectPoints&&c("selectedpoints"),b.supplyTransformDefaults(t,e,n)),e},b.hasMakesDataTransform=S,b.supplyTransformDefaults=function(t,e,r){if(e._length||S(t)){var n=r._globalTransforms||[],i=r._transformModules||[];if(Array.isArray(t.transforms)||0!==n.length)for(var a=t.transforms||[],o=n.concat(a),s=e.transforms=[],l=0;l<o.length;l++){var c,f=o[l],h=f.type,p=_[h],d=!(f._module&&f._module===p),m=p&&"function"==typeof p.transform;p||u.warn("Unrecognized transform type "+h+"."),p&&p.supplyDefaults&&(d||m)?((c=p.supplyDefaults(f,e,r,t)).type=h,c._module=p,u.pushUnique(i,p)):c=u.extendFlat({},f),s.push(c)}}},b.supplyLayoutGlobalDefaults=function(t,e,r){function n(r,n){return u.coerce(t,e,b.layoutAttributes,r,n)}var i=t.template;u.isPlainObject(i)&&(e.template=i,e._template=i.layout,e._dataTemplate=i.data),n("autotypenumbers");var a=u.coerceFont(n,"font"),o=a.size;u.coerceFont(n,"title.font",u.extendFlat({},a,{size:Math.round(1.4*o)})),n("title.text",e._dfltTitle.plot),n("title.xref"),n("title.yref"),n("title.x"),n("title.y"),n("title.xanchor"),n("title.yanchor"),n("title.pad.t"),n("title.pad.r"),n("title.pad.b"),n("title.pad.l"),n("uniformtext.mode")&&n("uniformtext.minsize"),n("autosize",!(t.width&&t.height)),n("width"),n("height"),n("margin.l"),n("margin.r"),n("margin.t"),n("margin.b"),n("margin.pad"),n("margin.autoexpand"),t.width&&t.height&&b.sanitizeMargins(e),s.getComponentMethod("grid","sizeDefaults")(t,e),n("paper_bgcolor"),n("separators",r.decimal+r.thousands),n("hidesources"),n("colorway"),n("datarevision");var l=n("uirevision");n("editrevision",l),n("selectionrevision",l),s.getComponentMethod("modebar","supplyLayoutDefaults")(t,e),s.getComponentMethod("shapes","supplyDrawNewShapeDefaults")(t,e,n),n("meta"),u.isPlainObject(t.transition)&&(n("transition.duration"),n("transition.easing"),n("transition.ordering")),s.getComponentMethod("calendars","handleDefaults")(t,e,"calendar"),s.getComponentMethod("fx","supplyLayoutGlobalDefaults")(t,e,n)},b.plotAutoSize=function(t,e,r){var n,i,a=t._context||{},s=a.frameMargins,l=u.isPlotDiv(t);if(l&&t.emit("plotly_autosize"),a.fillFrame)n=window.innerWidth,i=window.innerHeight,document.body.style.overflow="hidden";else{var c=l?window.getComputedStyle(t):{};if(n=L(c.width)||L(c.maxWidth)||r.width,i=L(c.height)||L(c.maxHeight)||r.height,o(s)&&s>0){var f=1-2*s;n=Math.round(f*n),i=Math.round(f*i)}}var h=b.layoutAttributes.width.min,p=b.layoutAttributes.height.min;n<h&&(n=h),i<p&&(i=p);var d=!e.width&&Math.abs(r.width-n)>1,m=!e.height&&Math.abs(r.height-i)>1;(m||d)&&(d&&(r.width=n),m&&(r.height=i)),t._initialAutoSize||(t._initialAutoSize={width:n,height:i}),b.sanitizeMargins(r)},b.supplyLayoutModuleDefaults=function(t,e,r,n){var i,a,o,l=s.componentsRegistry,c=e._basePlotModules,f=s.subplotsRegistry.cartesian;for(i in l)(o=l[i]).includeBasePlot&&o.includeBasePlot(t,e);for(var h in c.length||c.push(f),e._has("cartesian")&&(s.getComponentMethod("grid","contentDefaults")(t,e),f.finalizeSubplots(t,e)),e._subplots)e._subplots[h].sort(u.subplotSort);for(a=0;a<c.length;a++)(o=c[a]).supplyLayoutDefaults&&o.supplyLayoutDefaults(t,e,r);var p=e._modules;for(a=0;a<p.length;a++)(o=p[a]).supplyLayoutDefaults&&o.supplyLayoutDefaults(t,e,r);var d=e._transformModules;for(a=0;a<d.length;a++)(o=d[a]).supplyLayoutDefaults&&o.supplyLayoutDefaults(t,e,r,n);for(i in l)(o=l[i]).supplyLayoutDefaults&&o.supplyLayoutDefaults(t,e,r)},b.purge=function(t){var e=t._fullLayout||{};void 0!==e._glcontainer&&(e._glcontainer.selectAll(".gl-canvas").remove(),e._glcontainer.remove(),e._glcanvas=null),e._modeBar&&e._modeBar.destroy(),t._transitionData&&(t._transitionData._interruptCallbacks&&(t._transitionData._interruptCallbacks.length=0),t._transitionData._animationRaf&&window.cancelAnimationFrame(t._transitionData._animationRaf)),u.clearThrottle(),u.clearResponsive(t),delete t.data,delete t.layout,delete t._fullData,delete t._fullLayout,delete t.calcdata,delete t.empty,delete t.fid,delete t.undoqueue,delete t.undonum,delete t.autoplay,delete t.changed,delete t._promises,delete t._redrawTimer,delete t._hmlumcount,delete t._hmpixcount,delete t._transitionData,delete t._transitioning,delete t._initialAutoSize,delete t._transitioningWithDuration,delete t._dragging,delete t._dragged,delete t._dragdata,delete t._hoverdata,delete t._snapshotInProgress,delete t._editing,delete t._mouseDownTime,delete t._legendMouseDownTime,t.removeAllListeners&&t.removeAllListeners()},b.style=function(t){var e,r=t._fullLayout._visibleModules,n=[];for(e=0;e<r.length;e++){var i=r[e];i.style&&u.pushUnique(n,i.style)}for(e=0;e<n.length;e++)n[e](t)},b.sanitizeMargins=function(t){if(t&&t.margin){var e,r=t.width,n=t.height,i=t.margin,a=r-(i.l+i.r),o=n-(i.t+i.b);a<0&&(e=(r-1)/(i.l+i.r),i.l=Math.floor(e*i.l),i.r=Math.floor(e*i.r)),o<0&&(e=(n-1)/(i.t+i.b),i.t=Math.floor(e*i.t),i.b=Math.floor(e*i.b))}},b.clearAutoMarginIds=function(t){t._fullLayout._pushmarginIds={}},b.allowAutoMargin=function(t,e){t._fullLayout._pushmarginIds[e]=1};b.autoMargin=function(t,e,r){var n=t._fullLayout,i=n.width,a=n.height,o=n.margin,s=u.constrain(i-o.l-o.r,2,64),l=u.constrain(a-o.t-o.b,2,64),c=Math.max(0,i-s),f=Math.max(0,a-l),h=n._pushmargin,p=n._pushmarginIds;if(!1!==o.autoexpand){if(r){var d=r.pad;if(void 0===d&&(d=Math.min(12,o.l,o.r,o.t,o.b)),c){var m=(r.l+r.r)/c;m>1&&(r.l/=m,r.r/=m)}if(f){var g=(r.t+r.b)/f;g>1&&(r.t/=g,r.b/=g)}var v=void 0!==r.xl?r.xl:r.x,y=void 0!==r.xr?r.xr:r.x,x=void 0!==r.yt?r.yt:r.y,_=void 0!==r.yb?r.yb:r.y;h[e]={l:{val:v,size:r.l+d},r:{val:y,size:r.r+d},b:{val:_,size:r.b+d},t:{val:x,size:r.t+d}},p[e]=1}else delete h[e],delete p[e];if(!n._replotting)return b.doAutoMargin(t)}},b.doAutoMargin=function(t){var e=t._fullLayout,r=e.width,n=e.height;e._size||(e._size={}),C(e);var i=e._size,a=e.margin,l=u.extendFlat({},i),c=a.l,f=a.r,h=a.t,d=a.b,m=e._pushmargin,g=e._pushmarginIds;if(!1!==e.margin.autoexpand){for(var v in m)g[v]||delete m[v];for(var y in m.base={l:{val:0,size:c},r:{val:1,size:f},t:{val:1,size:h},b:{val:0,size:d}},m){var x=m[y].l||{},_=m[y].b||{},w=x.val,T=x.size,k=_.val,A=_.size;for(var M in m){if(o(T)&&m[M].r){var S=m[M].r.val,E=m[M].r.size;if(S>w){var L=(T*S+(E-r)*w)/(S-w),P=(E*(1-w)+(T-r)*(1-S))/(S-w);L+P>c+f&&(c=L,f=P)}}if(o(A)&&m[M].t){var I=m[M].t.val,O=m[M].t.size;if(I>k){var z=(A*I+(O-n)*k)/(I-k),D=(O*(1-k)+(A-n)*(1-I))/(I-k);z+D>d+h&&(d=z,h=D)}}}}}var R=u.constrain(r-a.l-a.r,2,64),F=u.constrain(n-a.t-a.b,2,64),B=Math.max(0,r-R),N=Math.max(0,n-F);if(B){var j=(c+f)/B;j>1&&(c/=j,f/=j)}if(N){var U=(d+h)/N;U>1&&(d/=U,h/=U)}if(i.l=Math.round(c),i.r=Math.round(f),i.t=Math.round(h),i.b=Math.round(d),i.p=Math.round(a.pad),i.w=Math.round(r)-i.l-i.r,i.h=Math.round(n)-i.t-i.b,!e._replotting&&b.didMarginChange(l,i)){"_redrawFromAutoMarginCount"in e?e._redrawFromAutoMarginCount++:e._redrawFromAutoMarginCount=1;var V=3*(1+Object.keys(g).length);if(e._redrawFromAutoMarginCount<V)return s.call("_doPlot",t);e._size=l,u.warn("Too many auto-margin redraws.")}!function(t){var e=p.list(t,"",!0);["_adjustTickLabelsOverflow","_hideCounterAxisInsideTickLabels"].forEach((function(t){for(var r=0;r<e.length;r++){var n=e[r][t];n&&n()}}))}(t)};var P=["l","r","t","b","p","w","h"];function I(t,e,r){var n=!1;var i=[b.previousPromises,function(){if(t._transitionData)return t._transitioning=!1,function(t){var e=Promise.resolve();if(!t)return e;for(;t.length;)e=e.then(t.shift());return e}(t._transitionData._interruptCallbacks)},r.prepareFn,b.rehover,function(){return t.emit("plotly_transitioning",[]),new Promise((function(i){t._transitioning=!0,e.duration>0&&(t._transitioningWithDuration=!0),t._transitionData._interruptCallbacks.push((function(){n=!0})),r.redraw&&t._transitionData._interruptCallbacks.push((function(){return s.call("redraw",t)})),t._transitionData._interruptCallbacks.push((function(){t.emit("plotly_transitioninterrupted",[])}));var a=0,o=0;function l(){return a++,function(){o++,n||o!==a||function(e){if(!t._transitionData)return;(function(t){if(t)for(;t.length;)t.shift()})(t._transitionData._interruptCallbacks),Promise.resolve().then((function(){if(r.redraw)return s.call("redraw",t)})).then((function(){t._transitioning=!1,t._transitioningWithDuration=!1,t.emit("plotly_transitioned",[])})).then(e)}(i)}}r.runFn(l),setTimeout(l())}))}],a=u.syncOrAsync(i,t);return a&&a.then||(a=Promise.resolve()),a.then((function(){return t}))}b.didMarginChange=function(t,e){for(var r=0;r<P.length;r++){var n=P[r],i=t[n],a=e[n];if(!o(i)||Math.abs(a-i)>1)return!0}return!1},b.graphJson=function(t,e,r,n,i,a){(i&&e&&!t._fullData||i&&!e&&!t._fullLayout)&&b.supplyDefaults(t);var o=i?t._fullData:t.data,s=i?t._fullLayout:t.layout,l=(t._transitionData||{})._frames;function c(t,e){if("function"==typeof t)return e?"_function_":null;if(u.isPlainObject(t)){var n,i={};return Object.keys(t).sort().forEach((function(a){if(-1===["_","["].indexOf(a.charAt(0)))if("function"!=typeof t[a]){if("keepdata"===r){if("src"===a.substr(a.length-3))return}else if("keepstream"===r){if("string"==typeof(n=t[a+"src"])&&n.indexOf(":")>0&&!u.isPlainObject(t.stream))return}else if("keepall"!==r&&"string"==typeof(n=t[a+"src"])&&n.indexOf(":")>0)return;i[a]=c(t[a],e)}else e&&(i[a]="_function")})),i}return Array.isArray(t)?t.map((function(t){return c(t,e)})):u.isTypedArray(t)?u.simpleMap(t,u.identity):u.isJSDate(t)?u.ms2DateTimeLocal(+t):t}var f={data:(o||[]).map((function(t){var r=c(t);return e&&delete r.fit,r}))};if(!e&&(f.layout=c(s),i)){var h=s._size;f.layout.computed={margin:{b:h.b,l:h.l,r:h.r,t:h.t}}}return l&&(f.frames=c(l)),a&&(f.config=c(t._context,!0)),"object"===n?f:JSON.stringify(f)},b.modifyFrames=function(t,e){var r,n,i,a=t._transitionData._frames,o=t._transitionData._frameHash;for(r=0;r<e.length;r++)switch((n=e[r]).type){case"replace":i=n.value;var s=(a[n.index]||{}).name,l=i.name;a[n.index]=o[l]=i,l!==s&&(delete o[s],o[l]=i);break;case"insert":o[(i=n.value).name]=i,a.splice(n.index,0,i);break;case"delete":delete o[(i=a[n.index]).name],a.splice(n.index,1)}return Promise.resolve()},b.computeFrame=function(t,e){var r,n,i,a,o=t._transitionData._frameHash;if(!e)throw new Error("computeFrame must be given a string frame name");var s=o[e.toString()];if(!s)return!1;for(var l=[s],c=[s.name];s.baseframe&&(s=o[s.baseframe.toString()])&&-1===c.indexOf(s.name);)l.push(s),c.push(s.name);for(var u={};s=l.pop();)if(s.layout&&(u.layout=b.extendLayout(u.layout,s.layout)),s.data){if(u.data||(u.data=[]),!(n=s.traces))for(n=[],r=0;r<s.data.length;r++)n[r]=r;for(u.traces||(u.traces=[]),r=0;r<s.data.length;r++)null!=(i=n[r])&&(-1===(a=u.traces.indexOf(i))&&(a=u.data.length,u.traces[a]=i),u.data[a]=b.extendTrace(u.data[a],s.data[r]))}return u},b.recomputeFrameHash=function(t){for(var e=t._transitionData._frameHash={},r=t._transitionData._frames,n=0;n<r.length;n++){var i=r[n];i&&i.name&&(e[i.name]=i)}},b.extendObjectWithContainers=function(t,e,r){var n,i,a,o,s,l,c,f=u.extendDeepNoArrays({},e||{}),h=u.expandObjectPaths(f),p={};if(r&&r.length)for(a=0;a<r.length;a++)void 0===(i=(n=u.nestedProperty(h,r[a])).get())?u.nestedProperty(p,r[a]).set(null):(n.set(null),u.nestedProperty(p,r[a]).set(i));if(t=u.extendDeepNoArrays(t||{},h),r&&r.length)for(a=0;a<r.length;a++)if(l=u.nestedProperty(p,r[a]).get()){for(c=(s=u.nestedProperty(t,r[a])).get(),Array.isArray(c)||(c=[],s.set(c)),o=0;o<l.length;o++){var d=l[o];c[o]=null===d?null:b.extendObjectWithContainers(c[o],d)}s.set(c)}return t},b.dataArrayContainers=["transforms","dimensions"],b.layoutArrayContainers=s.layoutArrayContainers,b.extendTrace=function(t,e){return b.extendObjectWithContainers(t,e,b.dataArrayContainers)},b.extendLayout=function(t,e){return b.extendObjectWithContainers(t,e,b.layoutArrayContainers)},b.transition=function(t,e,r,n,i,a){var o={redraw:i.redraw},s={},l=[];return o.prepareFn=function(){for(var i=Array.isArray(e)?e.length:0,a=n.slice(0,i),o=0;o<a.length;o++){var c=a[o],f=t._fullData[c]._module;if(f){if(f.animatable){var h=f.basePlotModule.name;s[h]||(s[h]=[]),s[h].push(c)}t.data[a[o]]=b.extendTrace(t.data[a[o]],e[o])}}var p=u.expandObjectPaths(u.extendDeepNoArrays({},r)),d=/^[xy]axis[0-9]*$/;for(var m in p)d.test(m)&&delete p[m].range;b.extendLayout(t.layout,p),delete t.calcdata,b.supplyDefaults(t),b.doCalcdata(t);var g=u.expandObjectPaths(r);if(g){var v=t._fullLayout._plots;for(var y in v){var x=v[y],_=x.xaxis,w=x.yaxis,T=_.range.slice(),k=w.range.slice(),A=null,M=null,S=null,E=null;Array.isArray(g[_._name+".range"])?A=g[_._name+".range"].slice():Array.isArray((g[_._name]||{}).range)&&(A=g[_._name].range.slice()),Array.isArray(g[w._name+".range"])?M=g[w._name+".range"].slice():Array.isArray((g[w._name]||{}).range)&&(M=g[w._name].range.slice()),T&&A&&(_.r2l(T[0])!==_.r2l(A[0])||_.r2l(T[1])!==_.r2l(A[1]))&&(S={xr0:T,xr1:A}),k&&M&&(w.r2l(k[0])!==w.r2l(M[0])||w.r2l(k[1])!==w.r2l(M[1]))&&(E={yr0:k,yr1:M}),(S||E)&&l.push(u.extendFlat({plotinfo:x},S,E))}}return Promise.resolve()},o.runFn=function(e){var n,i,o=t._fullLayout._basePlotModules,c=l.length;if(r)for(i=0;i<o.length;i++)o[i].transitionAxes&&o[i].transitionAxes(t,l,a,e);for(var f in c?((n=u.extendFlat({},a)).duration=0,delete s.cartesian):n=a,s){var h=s[f];t._fullData[h[0]]._module.basePlotModule.plot(t,h,n,e)}},I(t,a,o)},b.transitionFromReact=function(t,e,r,n){var i=t._fullLayout,a=i.transition,o={},s=[];return o.prepareFn=function(){var t=i._plots;for(var a in o.redraw=!1,"some"===e.anim&&(o.redraw=!0),"some"===r.anim&&(o.redraw=!0),t){var l=t[a],c=l.xaxis,f=l.yaxis,h=n[c._name].range.slice(),p=n[f._name].range.slice(),d=c.range.slice(),m=f.range.slice();c.setScale(),f.setScale();var g=null,v=null;c.r2l(h[0])===c.r2l(d[0])&&c.r2l(h[1])===c.r2l(d[1])||(g={xr0:h,xr1:d}),f.r2l(p[0])===f.r2l(m[0])&&f.r2l(p[1])===f.r2l(m[1])||(v={yr0:p,yr1:m}),(g||v)&&s.push(u.extendFlat({plotinfo:l},g,v))}return Promise.resolve()},o.runFn=function(r){for(var n,i,o,l=t._fullData,c=t._fullLayout._basePlotModules,f=[],h=0;h<l.length;h++)f.push(h);function p(){if(t._fullLayout)for(var e=0;e<c.length;e++)c[e].transitionAxes&&c[e].transitionAxes(t,s,n,r)}function d(){if(t._fullLayout)for(var e=0;e<c.length;e++)c[e].plot(t,o,i,r)}s.length&&e.anim?"traces first"===a.ordering?(n=u.extendFlat({},a,{duration:0}),o=f,i=a,setTimeout(p,a.duration),d()):(n=a,o=null,i=u.extendFlat({},a,{duration:0}),setTimeout(d,n.duration),p()):s.length?(n=a,p()):e.anim&&(o=f,i=a,d())},I(t,a,o)},b.doCalcdata=function(t,e){var r,n,i,a,o=p.list(t),c=t._fullData,f=t._fullLayout,d=new Array(c.length),m=(t.calcdata||[]).slice();for(t.calcdata=d,f._numBoxes=0,f._numViolins=0,f._violinScaleGroupStats={},t._hmpixcount=0,t._hmlumcount=0,f._piecolormap={},f._sunburstcolormap={},f._treemapcolormap={},f._iciclecolormap={},f._funnelareacolormap={},i=0;i<c.length;i++)Array.isArray(e)&&-1===e.indexOf(i)&&(d[i]=m[i]);for(i=0;i<c.length;i++)(r=c[i])._arrayAttrs=l.findArrayAttributes(r),r._extremes={};var g=f._subplots.polar||[];for(i=0;i<g.length;i++)o.push(f[g[i]].radialaxis,f[g[i]].angularaxis);for(var v in f._colorAxes){var y=f[v];!1!==y.cauto&&(delete y.cmin,delete y.cmax)}var x=!1;function b(e){if(r=c[e],n=r._module,!0===r.visible&&r.transforms){if(n&&n.calc){var i=n.calc(t,r);i[0]&&i[0].t&&i[0].t._scene&&delete i[0].t._scene.dirty}for(a=0;a<r.transforms.length;a++){var o=r.transforms[a];(n=_[o.type])&&n.calcTransform&&(r._hasCalcTransform=!0,x=!0,n.calcTransform(t,r,o))}}}function w(e,i){if(r=c[e],!!(n=r._module).isContainer===i){var o=[];if(!0===r.visible&&0!==r._length){delete r._indexToPoints;var s=r.transforms||[];for(a=s.length-1;a>=0;a--)if(s[a].enabled){r._indexToPoints=s[a]._indexToPoints;break}n&&n.calc&&(o=n.calc(t,r))}Array.isArray(o)&&o[0]||(o=[{x:h,y:h}]),o[0].t||(o[0].t={}),o[0].trace=r,d[e]=o}}for(z(o,c,f),i=0;i<c.length;i++)w(i,!0);for(i=0;i<c.length;i++)b(i);for(x&&z(o,c,f),i=0;i<c.length;i++)w(i,!0);for(i=0;i<c.length;i++)w(i,!1);D(t);var T=function(t,e){var r,n,i,a,o,l=[];function c(t,r,n){var i=r._id.charAt(0);if("histogram2dcontour"===t){var a=r._counterAxes[0],o=p.getFromId(e,a),s="x"===i||"x"===a&&"category"===o.type,l="y"===i||"y"===a&&"category"===o.type;return function(t,e){return 0===t||0===e||s&&t===n[e].length-1||l&&e===n.length-1?-1:("y"===i?e:t)-1}}return function(t,e){return"y"===i?e:t}}var f={min:function(t){return u.aggNums(Math.min,null,t)},max:function(t){return u.aggNums(Math.max,null,t)},sum:function(t){return u.aggNums((function(t,e){return t+e}),null,t)},total:function(t){return u.aggNums((function(t,e){return t+e}),null,t)},mean:function(t){return u.mean(t)},median:function(t){return u.median(t)}};for(r=0;r<t.length;r++){var h=t[r];if("category"===h.type){var d=h.categoryorder.match(O);if(d){var m=d[1],g=d[2],v=h._id.charAt(0),y="x"===v,x=[];for(n=0;n<h._categories.length;n++)x.push([h._categories[n],[]]);for(n=0;n<h._traceIndices.length;n++){var b=h._traceIndices[n],_=e._fullData[b];if(!0===_.visible){var w=_.type;s.traceIs(_,"histogram")&&(delete _._xautoBinFinished,delete _._yautoBinFinished);var T="splom"===w,k="scattergl"===w,A=e.calcdata[b];for(i=0;i<A.length;i++){var M,S,E=A[i];if(T){var L=_._axesDim[h._id];if(!y){var C=_._diag[L][0];C&&(h=e._fullLayout[p.id2name(C)])}var P=E.trace.dimensions[L].values;for(a=0;a<P.length;a++)for(M=h._categoriesMap[P[a]],o=0;o<E.trace.dimensions.length;o++)if(o!==L){var I=E.trace.dimensions[o];x[M][1].push(I.values[a])}}else if(k){for(a=0;a<E.t.x.length;a++)y?(M=E.t.x[a],S=E.t.y[a]):(M=E.t.y[a],S=E.t.x[a]),x[M][1].push(S);E.t&&E.t._scene&&delete E.t._scene.dirty}else if(E.hasOwnProperty("z")){S=E.z;var z=c(_.type,h,S);for(a=0;a<S.length;a++)for(o=0;o<S[a].length;o++)(M=z(o,a))+1&&x[M][1].push(S[a][o])}else for(void 0===(M=E.p)&&(M=E[v]),void 0===(S=E.s)&&(S=E.v),void 0===S&&(S=y?E.y:E.x),Array.isArray(S)||(S=void 0===S?[]:[S]),a=0;a<S.length;a++)x[M][1].push(S[a])}}}h._categoriesValue=x;var D=[];for(n=0;n<x.length;n++)D.push([x[n][0],f[m](x[n][1])]);D.sort((function(t,e){return t[1]-e[1]})),h._categoriesAggregatedValue=D,h._initialCategories=D.map((function(t){return t[0]})),"descending"===g&&h._initialCategories.reverse(),l=l.concat(h.sortByInitialCategories())}}}return l}(o,t);if(T.length){for(f._numBoxes=0,f._numViolins=0,i=0;i<T.length;i++)w(T[i],!0);for(i=0;i<T.length;i++)w(T[i],!1);D(t)}s.getComponentMethod("fx","calc")(t),s.getComponentMethod("errorbars","calc")(t)};var O=/(total|sum|min|max|mean|median) (ascending|descending)/;function z(t,e,r){var n={};function i(t){t.clearCalc(),"multicategory"===t.type&&t.setupMultiCategory(e),n[t._id]=1}u.simpleMap(t,i);for(var a=r._axisMatchGroups||[],o=0;o<a.length;o++)for(var s in a[o])n[s]||i(r[p.id2name(s)])}function D(t){var e,r,n,i=t._fullLayout,a=i._visibleModules,o={};for(r=0;r<a.length;r++){var s=a[r],l=s.crossTraceCalc;if(l){var c=s.basePlotModule.name;o[c]?u.pushUnique(o[c],l):o[c]=[l]}}for(n in o){var f=o[n],h=i._subplots[n];if(Array.isArray(h))for(e=0;e<h.length;e++){var p=h[e],d="cartesian"===n?i._plots[p]:i[p];for(r=0;r<f.length;r++)f[r](t,d,p)}else for(r=0;r<f.length;r++)f[r](t)}}b.rehover=function(t){t._fullLayout._rehover&&t._fullLayout._rehover()},b.redrag=function(t){t._fullLayout._redrag&&t._fullLayout._redrag()},b.generalUpdatePerTraceModule=function(t,e,r,n){var i,a=e.traceHash,o={};for(i=0;i<r.length;i++){var s=r[i],l=s[0].trace;l.visible&&(o[l.type]=o[l.type]||[],o[l.type].push(s))}for(var c in a)if(!o[c]){var f=a[c][0];f[0].trace.visible=!1,o[c]=[f]}for(var h in o){var p=o[h];p[0][0].trace._module.plot(t,e,u.filterVisible(p),n)}e.traceHash=o},b.plotBasePlot=function(t,e,r,n,i){var a=s.getModule(t),o=v(e.calcdata,a)[0];a.plot(e,o,n,i)},b.cleanBasePlot=function(t,e,r,n,i){var a=i._has&&i._has(t),o=r._has&&r._has(t);a&&!o&&i["_"+t+"layer"].selectAll("g.trace").remove()}},{"../components/color":361,"../constants/numerical":474,"../lib":498,"../plot_api/plot_schema":537,"../plot_api/plot_template":538,"../plots/get_data":588,"../registry":633,"./animation_attributes":543,"./attributes":545,"./cartesian/axis_ids":553,"./cartesian/handle_outline":560,"./command":578,"./font_attributes":580,"./frame_attributes":581,"./layout_attributes":605,"@plotly/d3":58,"d3-format":107,"d3-time-format":115,"fast-isnumeric":185}],615:[function(t,e,r){"use strict";e.exports={attr:"subplot",name:"polar",axisNames:["angularaxis","radialaxis"],axisName2dataArray:{angularaxis:"theta",radialaxis:"r"},layerNames:["draglayer","plotbg","backplot","angular-grid","radial-grid","frontplot","angular-line","radial-line","angular-axis","radial-axis"],radialDragBoxSize:50,angularDragBoxSize:30,cornerLen:25,cornerHalfWidth:2,MINDRAG:8,MINZOOM:20,OFFEDGE:20}},{}],616:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../lib/polygon").tester,a=n.findIndexOfMin,o=n.isAngleInsideSector,s=n.angleDelta,l=n.angleDist;function c(t,e,r,n){var i,a,o=n[0],s=n[1],l=f(Math.sin(e)-Math.sin(t)),c=f(Math.cos(e)-Math.cos(t)),u=Math.tan(r),h=f(1/u),p=l/c,d=s-p*o;return h?l&&c?a=u*(i=d/(u-p)):c?(i=s*h,a=s):(i=o,a=o*u):l&&c?(i=0,a=d):c?(i=0,a=s):i=a=NaN,[i,a]}function u(t,e,r,i){return n.isFullCircle([e,r])?function(t,e){var r,n=e.length,i=new Array(n+1);for(r=0;r<n;r++){var a=e[r];i[r]=[t*Math.cos(a),t*Math.sin(a)]}return i[r]=i[0].slice(),i}(t,i):function(t,e,r,i){var s,u,f=i.length,h=[];function p(e){return[t*Math.cos(e),t*Math.sin(e)]}function d(t,e,r){return c(t,e,r,p(t))}function m(t){return n.mod(t,f)}function g(t){return o(t,[e,r])}var v=a(i,(function(t){return g(t)?l(t,e):1/0})),y=d(i[v],i[m(v-1)],e);for(h.push(y),s=v,u=0;u<f;s++,u++){var x=i[m(s)];if(!g(x))break;h.push(p(x))}var b=a(i,(function(t){return g(t)?l(t,r):1/0})),_=d(i[b],i[m(b+1)],r);return h.push(_),h.push([0,0]),h.push(h[0].slice()),h}(t,e,r,i)}function f(t){return Math.abs(t)>1e-10?t:0}function h(t,e,r){e=e||0,r=r||0;for(var n=t.length,i=new Array(n),a=0;a<n;a++){var o=t[a];i[a]=[e+o[0],r-o[1]]}return i}e.exports={isPtInsidePolygon:function(t,e,r,n,a){if(!o(e,n))return!1;var s,l;r[0]<r[1]?(s=r[0],l=r[1]):(s=r[1],l=r[0]);var c=i(u(s,n[0],n[1],a)),f=i(u(l,n[0],n[1],a)),h=[t*Math.cos(e),t*Math.sin(e)];return f.contains(h)&&!c.contains(h)},findPolygonOffset:function(t,e,r,n){for(var i=1/0,a=1/0,o=u(t,e,r,n),s=0;s<o.length;s++){var l=o[s];i=Math.min(i,l[0]),a=Math.min(a,-l[1])}return[i,a]},findEnclosingVertexAngles:function(t,e){var r=a(e,(function(e){var r=s(e,t);return r>0?r:1/0})),i=n.mod(r+1,e.length);return[e[r],e[i]]},findIntersectionXY:c,findXYatLength:function(t,e,r,n){var i=-e*r,a=e*e+1,o=2*(e*i-r),s=i*i+r*r-t*t,l=Math.sqrt(o*o-4*a*s),c=(-o+l)/(2*a),u=(-o-l)/(2*a);return[[c,e*c+i+n],[u,e*u+i+n]]},clampTiny:f,pathPolygon:function(t,e,r,n,i,a){return"M"+h(u(t,e,r,n),i,a).join("L")},pathPolygonAnnulus:function(t,e,r,n,i,a,o){var s,l;t<e?(s=t,l=e):(s=e,l=t);var c=h(u(s,r,n,i),a,o);return"M"+h(u(l,r,n,i),a,o).reverse().join("L")+"M"+c.join("L")}}},{"../../lib":498,"../../lib/polygon":510}],617:[function(t,e,r){"use strict";var n=t("../get_data").getSubplotCalcData,i=t("../../lib").counterRegex,a=t("./polar"),o=t("./constants"),s=o.attr,l=o.name,c=i(l),u={};u[s]={valType:"subplotid",dflt:l,editType:"calc"},e.exports={attr:s,name:l,idRoot:l,idRegex:c,attrRegex:c,attributes:u,layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[l],o=0;o<i.length;o++){var s=i[o],c=n(r,l,s),u=e[s]._subplot;u||(u=a(t,s),e[s]._subplot=u),u.plot(c,e,t._promises)}},clean:function(t,e,r,n){for(var i=n._subplots[l]||[],a=n._has&&n._has("gl"),o=e._has&&e._has("gl"),s=a&&!o,c=0;c<i.length;c++){var u=i[c],f=n[u]._subplot;if(!e[u]&&f)for(var h in f.framework.remove(),f.layers["radial-axis-title"].remove(),f.clipPaths)f.clipPaths[h].remove();s&&f._scene&&(f._scene.destroy(),f._scene=null)}},toSVG:t("../cartesian").toSVG}},{"../../lib":498,"../cartesian":563,"../get_data":588,"./constants":615,"./layout_attributes":618,"./layout_defaults":619,"./polar":620}],618:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../cartesian/layout_attributes"),a=t("../domain").attributes,o=t("../../lib").extendFlat,s=t("../../plot_api/edit_types").overrideAll,l=s({color:i.color,showline:o({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:o({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth},"plot","from-root"),c=s({tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,ticklabelstep:i.ticklabelstep,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,layer:i.layer},"plot","from-root"),u={visible:o({},i.visible,{dflt:!0}),type:o({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:o({},i.autorange,{editType:"plot"}),rangemode:{valType:"enumerated",values:["tozero","nonnegative","normal"],dflt:"tozero",editType:"calc"},range:o({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],editType:"plot"}),categoryorder:i.categoryorder,categoryarray:i.categoryarray,angle:{valType:"angle",editType:"plot"},side:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"clockwise",editType:"plot"},title:{text:o({},i.title.text,{editType:"plot",dflt:""}),font:o({},i.title.font,{editType:"plot"}),editType:"plot"},hoverformat:i.hoverformat,uirevision:{valType:"any",editType:"none"},editType:"calc",_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}};o(u,l,c);var f={visible:o({},i.visible,{dflt:!0}),type:{valType:"enumerated",values:["-","linear","category"],dflt:"-",editType:"calc",_noTemplating:!0},autotypenumbers:i.autotypenumbers,categoryorder:i.categoryorder,categoryarray:i.categoryarray,thetaunit:{valType:"enumerated",values:["radians","degrees"],dflt:"degrees",editType:"calc"},period:{valType:"number",editType:"calc",min:0},direction:{valType:"enumerated",values:["counterclockwise","clockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"angle",editType:"calc"},hoverformat:i.hoverformat,uirevision:{valType:"any",editType:"none"},editType:"calc"};o(f,l,c),e.exports={domain:a({name:"polar",editType:"plot"}),sector:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],dflt:[0,360],editType:"plot"},hole:{valType:"number",min:0,max:1,dflt:0,editType:"plot"},bgcolor:{valType:"color",editType:"plot",dflt:n.background},radialaxis:u,angularaxis:f,gridshape:{valType:"enumerated",values:["circular","linear"],dflt:"circular",editType:"plot"},uirevision:{valType:"any",editType:"none"},editType:"calc"}},{"../../components/color/attributes":360,"../../lib":498,"../../plot_api/edit_types":531,"../cartesian/layout_attributes":564,"../domain":579}],619:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../plot_api/plot_template"),o=t("../subplot_defaults"),s=t("../get_data").getSubplotData,l=t("../cartesian/tick_value_defaults"),c=t("../cartesian/tick_mark_defaults"),u=t("../cartesian/tick_label_defaults"),f=t("../cartesian/prefix_suffix_defaults"),h=t("../cartesian/category_order_defaults"),p=t("../cartesian/line_grid_defaults"),d=t("../cartesian/axis_autotype"),m=t("./layout_attributes"),g=t("./set_convert"),v=t("./constants"),y=v.axisNames;function x(t,e,r,o){var d=r("bgcolor");o.bgColor=i.combine(d,o.paper_bgcolor);var x=r("sector");r("hole");var _,w=s(o.fullData,v.name,o.id),T=o.layoutOut;function k(t,e){return r(_+"."+t,e)}for(var A=0;A<y.length;A++){_=y[A],n.isPlainObject(t[_])||(t[_]={});var M=t[_],S=a.newContainer(e,_);S._id=S._name=_,S._attr=o.id+"."+_,S._traceIndices=w.map((function(t){return t._expandedIndex}));var E=v.axisName2dataArray[_],L=b(M,S,k,w,E,o);h(M,S,k,{axData:w,dataAttr:E});var C=k("visible");switch(g(S,e,T),k("uirevision",e.uirevision),S._m=1,_){case"radialaxis":var P=k("autorange",!S.isValidRange(M.range));M.autorange=P,!P||"linear"!==L&&"-"!==L||k("rangemode"),"reversed"===P&&(S._m=-1),k("range"),S.cleanRange("range",{dfltRange:[0,1]});break;case"angularaxis":if("date"===L){n.log("Polar plots do not support date angular axes yet.");for(var I=0;I<w.length;I++)w[I].visible=!1;L=M.type=S.type="linear"}k("linear"===L?"thetaunit":"period");var O=k("direction");k("rotation",{counterclockwise:0,clockwise:90}[O])}if(f(M,S,k,S.type,{tickSuffixDflt:"degrees"===S.thetaunit?"\xb0":void 0}),C){var z,D,R,F,B=o.font||{};D=(z=k("color"))===M.color?z:B.color,R=B.size,F=B.family,l(M,S,k,S.type),u(M,S,k,S.type,{font:{color:D,size:R,family:F}}),c(M,S,k,{outerTicks:!0}),p(M,S,k,{dfltColor:z,bgColor:o.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:m[_]}),k("layer"),"radialaxis"===_&&(k("side"),k("angle",x[0]),k("title.text"),n.coerceFont(k,"title.font",{color:D,size:n.bigFont(R),family:F}))}"category"!==L&&k("hoverformat"),S._input=M}"category"===e.angularaxis.type&&r("gridshape")}function b(t,e,r,n,i,a){var o=r("autotypenumbers",a.autotypenumbersDflt);if("-"===r("type")){for(var s,l=0;l<n.length;l++)if(n[l].visible){s=n[l];break}s&&s[i]&&(e.type=d(s[i],"gregorian",{noMultiCategory:!0,autotypenumbers:o})),"-"===e.type?e.type="linear":t.type=e.type}return e.type}e.exports=function(t,e,r){o(t,e,r,{type:v.name,attributes:m,handleDefaults:x,font:e.font,autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,fullData:r,layoutOut:e})}},{"../../components/color":361,"../../lib":498,"../../plot_api/plot_template":538,"../cartesian/axis_autotype":550,"../cartesian/category_order_defaults":554,"../cartesian/line_grid_defaults":566,"../cartesian/prefix_suffix_defaults":568,"../cartesian/tick_label_defaults":573,"../cartesian/tick_mark_defaults":574,"../cartesian/tick_value_defaults":575,"../get_data":588,"../subplot_defaults":627,"./constants":615,"./layout_attributes":618,"./set_convert":621}],620:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=o.strRotate,l=o.strTranslate,c=t("../../components/color"),u=t("../../components/drawing"),f=t("../plots"),h=t("../../plots/cartesian/axes"),p=t("../cartesian/set_convert"),d=t("./set_convert"),m=t("../cartesian/autorange").doAutoRange,g=t("../cartesian/dragbox"),v=t("../../components/dragelement"),y=t("../../components/fx"),x=t("../../components/titles"),b=t("../cartesian/select").prepSelect,_=t("../cartesian/select").selectOnClick,w=t("../cartesian/select").clearSelect,T=t("../../lib/setcursor"),k=t("../../lib/clear_gl_canvases"),A=t("../../plot_api/subroutines").redrawReglTraces,M=t("../../constants/alignment").MID_SHIFT,S=t("./constants"),E=t("./helpers"),L=t("../smith/helpers"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i="clip"+n._uid+e;this.clipIds.forTraces=i+"-for-traces",this.clipPaths.forTraces=n._clips.append("clipPath").attr("id",this.clipIds.forTraces),this.clipPaths.forTraces.append("path"),this.framework=n["_"+(r?"smith":"polar")+"layer"].append("g").attr("class",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return"side"in t&&(e+=t.side),e}function U(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function V(t,e,r){return e?(t.attr("display",null),t.attr(r)):t&&t.attr("display","none"),t}e.exports=function(t,e,r){return new B(t,e,r)},N.plot=function(t,e){for(var r=e[this.id],n=!1,i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){n=!0;break}}this._hasClipOnAxisFalse=n,this.updateLayers(e,r),this.updateLayout(e,r),f.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r),this.isSmith&&(delete r.realaxis.range,delete r.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this.isSmith,i=this.layers,a=this.getRadial(e),o=this.getAngular(e),s=S.layerNames,l=s.indexOf("frontplot"),c=s.slice(0,l),u="below traces"===o.layer,f="below traces"===a.layer;u&&c.push("angular-line"),f&&c.push("radial-line"),u&&c.push("angular-axis"),f&&c.push("radial-axis"),c.push("frontplot"),u||c.push("angular-line"),f||c.push("radial-line"),u||c.push("angular-axis"),f||c.push("radial-axis");var h=(r?"smith":"polar")+"sublayer",p=this.framework.selectAll("."+h).data(c,String);p.enter().append("g").attr("class",(function(t){return h+" "+t})).each((function(t){var e=i[t]=n.select(this);switch(t){case"frontplot":r||e.append("g").classed("barlayer",!0),e.append("g").classed("scatterlayer",!0);break;case"backplot":e.append("g").classed("maplayer",!0);break;case"plotbg":i.bg=e.append("path");break;case"radial-grid":case"angular-grid":e.style("fill","none");break;case"radial-line":e.append("line").style("fill","none");break;case"angular-line":e.append("path").style("fill","none")}})),p.order()},N.updateLayout=function(t,e){var r=this.layers,n=t._size,i=this.getRadial(e),a=this.getAngular(e),o=e.domain.x,s=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-s[1]);var f=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(s[1]-s[0]),p=this.getSector(e);this.sectorInRad=p.map(R);var d,m,g,v,y,x=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=D(a,360),l=s+o,c=Math.cos(R(s)),u=Math.sin(R(s)),f=Math.cos(R(l)),h=Math.sin(R(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(m=f*T))/n.h/2,g=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(m=h,y=(f-(d=h/T))/n.w/2,g=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=m,this.xDomain2=g,this.yDomain2=v;var k,A=this.xOffset2=n.l+n.w*g[0],M=this.yOffset2=n.t+n.h*(1-v[1]),S=this.radius=d/b,E=this.innerRadius=this.getHole(e)*S,L=this.cx=A-S*x[0],C=this.cy=M+S*x[3],P=this.cxx=L-A,I=this.cyy=C-M,O=i.side;"counterclockwise"===O?(k=O,O="top"):"clockwise"===O&&(k=O,O="bottom"),this.radialAxis=this.mockAxis(t,e,i,{_id:"x",side:O,_trueSide:k,domain:[E/n.w,S/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:"right",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:"x",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:"y",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select("path").attr("d",z).attr("transform",l(P,I)),r.frontplot.attr("transform",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr("d",z).attr("transform",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:"linear"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange="x"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);m(r,n);var a=n.range;i.range=a.slice(),i._input.range=a.slice(),n._rl=[n.r2l(a[0],null,"gregorian"),n.r2l(a[1],null,"gregorian")]},N.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=r.getRadial(e),m=D(r.getSector(e)[0],360),g=r.radialAxis,v=u<a,y=r.isSmith;y||(r.fillViewInitialKey("radialaxis.angle",d.angle),r.fillViewInitialKey("radialaxis.range",g.range.slice()),g.setGeometry()),"auto"===g.tickangle&&m>90&&m<=270&&(g.tickangle=180);var x=y?function(t){var e=O(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+u,0)},b=y?function(t){return I(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+u)},_=j(d);if(r.radialTickLayout!==_&&(i["radial-axis"].selectAll(".xtick").remove(),r.radialTickLayout=_),v){g.setScale();var w=0,T=y?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=y?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];y&&(("top"===g.ticks&&"bottom"===g.side||"bottom"===g.ticks&&"top"===g.side)&&(A=-A),"top"===g.ticks&&"top"===g.side&&(w=-g.ticklen),"bottom"===g.ticks&&"bottom"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i["radial-axis"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i["radial-grid"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i["radial-axis"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i["radial-axis"],v&&(d.showticklabels||d.ticks),{transform:E}),V(i["radial-grid"],v&&d.showgrid,{transform:y?"":S}),V(i["radial-line"].select("line"),v&&d.showline,{x1:y?-a:u,y1:0,x2:a,y2:0,transform:E}).attr("stroke-width",d.linewidth).call(c.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=this.getRadial(e),l=this.id+"title",c=0;if(s.title){var f=u.bBox(this.layers["radial-axis"].node()).height,h=s.title.font.size,p=s.side;c="top"===p?h:"counterclockwise"===p?-(f+.4*h):f+.8*h}var d=void 0!==r?r:this.radialAxisAngle,m=R(d),g=Math.cos(m),v=Math.sin(m),y=a+i/2*g+c*v,b=o-i/2*v+c*g;this.layers["radial-axis-title"]=x.draw(n,l,{propContainer:s,propName:this.id+".radialaxis.title",placeholder:z(n,"Click to enter radial axis title"),attributes:{x:y,y:b,"text-anchor":"middle"},transform:{rotate:-d}})}},N.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=r.getAngular(e),m=r.angularAxis,g=r.isSmith;g||(r.fillViewInitialKey("angularaxis.rotation",d.rotation),m.setGeometry(),m.setScale());var v=g?function(t){var e=O(r,C([0,t.x]));return Math.atan2(e[0]-f,e[1]-p)-Math.PI/2}:function(t){return m.t2g(t.x)};"linear"===m.type&&"radians"===m.thetaunit&&(m.tick0=F(m.tick0),m.dtick=F(m.dtick));var y=function(t){return l(f+a*Math.cos(t),p-a*Math.sin(t))},x=g?function(t){var e=O(r,C([0,t.x]));return l(e[0],e[1])}:function(t){return y(v(t))},b=g?function(t){var e=O(r,C([0,t.x])),n=Math.atan2(e[0]-f,e[1]-p)-Math.PI/2;return l(e[0],e[1])+s(-F(n))}:function(t){var e=v(t);return y(e)+s(-F(e))},_=g?function(t){return P(r,t.x,0,1/0)}:function(t){var e=v(t),r=Math.cos(e),n=Math.sin(e);return"M"+[f+u*r,p-u*n]+"L"+[f+a*r,p-a*n]},w=h.makeLabelFns(m,0).labelStandoff,T={xFn:function(t){var e=v(t);return Math.cos(e)*w},yFn:function(t){var e=v(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=v(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},heightFn:function(t,e,r){var n=v(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i["angular-axis"].selectAll("."+m._id+"tick").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(m.tickvals||[]).map((function(t){return h.tickText(m,t,!0,!1)})):h.calcTicks(m);if(g&&(S[0].text="\u221e",S[0].fontSize*=1.75),"linear"===e.gridshape?(A=S.map(v),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,"category"===m.type&&(S=S.filter((function(t){return o.isAngleInsideSector(v(t),r.sectorInRad)}))),m.visible){var E="inside"===m.ticks?-1:1,L=(m.linewidth||1)/2;h.drawTicks(n,m,{vals:S,layer:i["angular-axis"],path:"M"+E*L+",0h"+E*m.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,m,{vals:S,layer:i["angular-grid"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,m,{vals:S,layer:i["angular-axis"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i["angular-line"].select("path"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr("stroke-width",d.linewidth).call(c.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,"path","maindrag","crosshair");n.select(F).attr("d",s.pathSubplot()).attr("transform",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,m)),o=a-D,l=a+D;return"M"+K(o,n)+"A"+[o,o]+" 0,0,0 "+K(o,i)+"L"+K(l,i)+"A"+[l,l]+" 0,0,1 "+K(l,n)+"Z"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return"M"+n.join("L")+"L"+i.reverse().join("L")+"Z"}function tt(t,e){return e=Math.max(Math.min(e,m),x),t<d?t=0:m-t<d?t=m:e<d?e=0:m-e<d&&(e=m),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||"M0,0Z",G.attr("d",t),Y.attr("d",e),g.transitionZoombox(G,Y,H,q),H=!0;var r={};ot(r),u.emit("plotly_relayouting",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),c=Z(B,N),u=Math.min(Z(o,l),m),f=J(B,N);tt(c,u)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=Q(j,f)+Q(U,f)),et(i,a)}function nt(t,e,r,n){var i=E.findIntersectionXY(r,n,r,[t-A,M-e]);return X(i[0],i[1])}function it(t,e){var r,n,i=B+t,a=N+e,o=J(B,N),l=J(i,a),c=z(o,C),u=z(l,C);tt(nt(B,N,c[0],c[1]),Math.min(nt(i,a,u[0],u[1]),m))&&(r=V+s.pathSector(U),j&&(r+=s.pathSector(j)),n=[$(j,c[0],c[1]),$(U,c[0],c[1])].join(" ")),et(r,n)}function at(){if(g.removeZoombox(u),null!==j&&null!==U){var t={};ot(t),g.showDoubleClickNotifier(u),a.call("_guiRelayout",u,t)}}function ot(t){var e=P._rl,r=(e[1]-e[0])/(1-x/m)/m,n=[e[0]+(j-x)*r,e[0]+(U-x)*r];t[s.id+".radialaxis.range"]=n}function st(t,e){var r=u._fullLayout.clickmode;if(g.removeZoombox(u),2===t){var n={};for(var i in s.viewInitial)n[s.id+"."+i]=s.viewInitial[i];u.emit("plotly_doubleclick",null),a.call("_guiRelayout",u,n)}r.indexOf("select")>-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf("event")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(m,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case"zoom":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,q,T,k,V)).attr("fill-rule","evenodd"),Y=g.makeCorners(h,T,k),w(u)}());break;case"select":case"lasso":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,m=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(m.visible){var b,_,T,M=R(i.radialAxisAngle),E=m._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T="radialdrag"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T="radialdrag-inner");var O,z,D,B=g.makeRectDragger(u,T,"crosshair",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+".radialaxis.angle"]=z:null!==D&&(t[i.id+".radialaxis.range["+r+"]"]=D)}(l),c.emit("plotly_relayouting",l)}function H(){null!==z?a.call("_guiRelayout",c,i.id+".radialaxis.angle",z):null!==D&&a.call("_guiRelayout",c,i.id+".radialaxis.range["+r+"]",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u["radial-axis"].attr("transform",o),u["radial-line"].select("line").attr("transform",o);var c=i.gd._fullLayout,f=c[i.id];i.updateRadialAxisTitle(c,f,z)}}function G(t,e){var n=o.dot([t,-e],[Math.cos(M),Math.sin(M)]);if(D=P-I*n,I>0==(r?D>L:D<C)){var s=c._fullLayout,l=s[i.id];m.range[r]=D,m._rl[r]=D,i.updateRadialAxis(s,l),i.xaxis.setRange(),i.xaxis.setScale(),i.yaxis.setRange(),i.yaxis.setScale();var u=!1;for(var f in i.traceHash){var h=i.traceHash[f],p=o.filterVisible(h);h[0][0].trace._module.plot(c,i,p,l),a.traceIs(f,"gl")&&p.length&&(u=!0)}u&&(k(c),A(c))}else D=null}},N.updateAngularDrag=function(t){var e=this,r=e.gd,i=e.layers,c=e.radius,f=e.angularAxis,h=e.cx,p=e.cy,d=e.cxx,m=e.cyy,y=S.angularDragBoxSize,x=g.makeDragger(i,"path","angulardrag","move"),b={element:x,gd:r};function _(t,e){return Math.atan2(m+y-e,t-d-y)}n.select(x).attr("d",e.pathAnnulus(c,c+y)).attr("transform",l(h,p)).call(T,"move");var M,E,L,C,P,I,O=i.frontplot.select(".scatterlayer").selectAll(".trace"),z=O.selectAll(".point"),D=O.selectAll(".textpoint");function R(c,g){var v=e.gd._fullLayout,y=v[e.id],x=_(M+c*t._invScaleX,E+g*t._invScaleY),b=F(x-I);if(C=L+b,i.frontplot.attr("transform",l(e.xOffset2,e.yOffset2)+s([-b,d,m])),e.vangles){P=e.radialAxisAngle+b;var w=l(h,p)+s(-b),T=l(h,p)+s(-P);i.bg.attr("transform",w),i["radial-grid"].attr("transform",w),i["radial-axis"].attr("transform",T),i["radial-line"].select("line").attr("transform",T),e.updateRadialAxisTitle(v,y,P)}else e.clipPaths.forTraces.select("path").attr("transform",l(d,m)+s(b));z.each((function(){var t=n.select(this),e=u.getTranslate(t);t.attr("transform",l(e.x,e.y)+s([b]))})),D.each((function(){var t=n.select(this),e=t.select("text"),r=u.getTranslate(t);t.attr("transform",s([b,e.attr("x"),e.attr("y")])+l(r.x,r.y))})),f.rotation=o.modHalf(C,360),e.updateAngularAxis(v,y),e._hasClipOnAxisFalse&&!o.isFullCircle(e.sectorInRad)&&O.call(u.hideOutsideRangePoints,e);var S=!1;for(var R in e.traceHash)if(a.traceIs(R,"gl")){var N=e.traceHash[R],j=o.filterVisible(N);N[0][0].trace._module.plot(r,e,j,y),j.length&&(S=!0)}S&&(k(r),A(r));var U={};B(U),r.emit("plotly_relayouting",U)}function B(t){t[e.id+".angularaxis.rotation"]=C,e.vangles&&(t[e.id+".radialaxis.angle"]=P)}function N(){D.select("text").attr("transform",null);var t={};B(t),a.call("_guiRelayout",r,t)}b.prepFn=function(n,i,a){var s=t[e.id];L=s.angularaxis.rotation;var l=x.getBoundingClientRect();M=i-l.left,E=a-l.top,r._fullLayout._calcInverseTransform(r);var c=o.apply3DTransform(t._invTransform)(M,E);M=c[0],E=c[1],I=_(M,E),b.moveFn=R,b.doneFn=N,w(r)},e.vangles&&!o.isFullCircle(e.sectorInRad)&&(b.prepFn=o.noop,T(n.select(x),null)),v.init(b)},N.isPtInside=function(t){if(this.isSmith)return!0;var e=this.sectorInRad,r=this.vangles,n=this.angularAxis.c2g(t.theta),i=this.radialAxis,a=i.c2l(t.r),s=i._rl;return(r?E.isPtInsidePolygon:o.isPtInsideSector)(a,n,s,e,r)},N.pathArc=function(t){var e=this.sectorInRad,r=this.vangles;return(r?E.pathPolygon:o.pathArc)(t,e[0],e[1],r)},N.pathSector=function(t){var e=this.sectorInRad,r=this.vangles;return(r?E.pathPolygon:o.pathSector)(t,e[0],e[1],r)},N.pathAnnulus=function(t,e){var r=this.sectorInRad,n=this.vangles;return(n?E.pathPolygonAnnulus:o.pathAnnulus)(t,e,r[0],r[1],n)},N.pathSubplot=function(){var t=this.innerRadius,e=this.radius;return t?this.pathAnnulus(t,e):this.pathSector(e)},N.fillViewInitialKey=function(t,e){t in this.viewInitial||(this.viewInitial[t]=e)}},{"../../components/color":361,"../../components/dragelement":380,"../../components/drawing":383,"../../components/fx":401,"../../components/titles":459,"../../constants/alignment":466,"../../lib":498,"../../lib/clear_gl_canvases":482,"../../lib/setcursor":519,"../../plot_api/subroutines":539,"../../plots/cartesian/axes":549,"../../registry":633,"../cartesian/autorange":548,"../cartesian/dragbox":558,"../cartesian/select":570,"../cartesian/set_convert":571,"../plots":614,"../smith/helpers":623,"./constants":615,"./helpers":616,"./set_convert":621,"@plotly/d3":58,tinycolor2:307}],621:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../cartesian/set_convert"),a=n.deg2rad,o=n.rad2deg;e.exports=function(t,e,r){switch(i(t,r),t._id){case"x":case"radialaxis":!function(t,e){var r=e._subplot;t.setGeometry=function(){var e=t._rl[0],n=t._rl[1],i=r.innerRadius,a=(r.radius-i)/(n-e),o=i/a,s=e>n?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case"angularaxis":!function(t,e){var r=t.type;if("linear"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return"degrees"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return"degrees"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&"linear"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o<l;o++)a[o]=c(s[o])}else{var u=i+"0",f="d"+i,h=u in e?c(e[u]):0,p=e[f]?c(e[f]):(t.period||2*Math.PI)/l;for(a=new Array(l),o=0;o<l;o++)a[o]=h+o*p}return a},t.setGeometry=function(){var i,s,l,c,u=e.sector,f=u.map(a),h={clockwise:-1,counterclockwise:1}[t.direction],p=a(t.rotation),d=function(t){return h*t+p},m=function(t){return(t-p)/h};switch(r){case"linear":s=i=n.identity,c=a,l=o,t.range=n.isFullCircle(f)?[u[0],u[0]+360]:f.map(m).map(o);break;case"category":var g=t._categories.length,v=t.period?Math.max(t.period,g):g;0===v&&(v=1),s=c=function(t){return 2*t*Math.PI/v},i=l=function(t){return t*v/Math.PI/2},t.range=[0,v]}t.c2g=function(t){return d(s(t))},t.g2c=function(t){return i(m(t))},t.t2g=function(t){return d(c(t))},t.g2t=function(t){return l(m(t))}}}(t,e)}}},{"../../lib":498,"../cartesian/set_convert":571}],622:[function(t,e,r){"use strict";e.exports={attr:"subplot",name:"smith",axisNames:["realaxis","imaginaryaxis"],axisName2dataArray:{imaginaryaxis:"imag",realaxis:"real"}}},{}],623:[function(t,e,r){"use strict";function n(t){return t<0?-1:t>0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return["M"+l+","+c,"L"+f+","+h].join(" ");var p=o(t,1/Math.abs(e));return["M"+l+","+c,"A"+p+","+p+" 0 0,"+(e<0?1:0)+" "+f+","+h].join(" ")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var m=a(t,i([e,0]));return["M"+u+","+f,"A"+l+","+l+" 0 0,"+(0<r?0:1)+" "+m[0]+","+m[1],"A"+l+","+l+" 0 0,"+(s<0?0:1)+p+","+d].join(" ")}return["M"+u+","+f,"A"+l+","+l+" 0 0,"+(s<r?0:1)+" "+p+","+d].join(" ")},smithTransform:a}},{}],624:[function(t,e,r){"use strict";var n=t("../get_data").getSubplotCalcData,i=t("../../lib").counterRegex,a=t("../polar/polar"),o=t("./constants"),s=o.attr,l=o.name,c=i(l),u={};u[s]={valType:"subplotid",dflt:l,editType:"calc"},e.exports={attr:s,name:l,idRoot:l,idRegex:c,attrRegex:c,attributes:u,layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[l],o=0;o<i.length;o++){var s=i[o],c=n(r,l,s),u=e[s]._subplot;u||(u=a(t,s,!0),e[s]._subplot=u),u.plot(c,e,t._promises)}},clean:function(t,e,r,n){for(var i=n._subplots[l]||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;if(!e[o]&&s)for(var c in s.framework.remove(),s.clipPaths)s.clipPaths[c].remove()}},toSVG:t("../cartesian").toSVG}},{"../../lib":498,"../cartesian":563,"../get_data":588,"../polar/polar":620,"./constants":622,"./layout_attributes":625,"./layout_defaults":626}],625:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../cartesian/layout_attributes"),a=t("../domain").attributes,o=t("../../lib").extendFlat,s=t("../../plot_api/edit_types").overrideAll,l=s({color:i.color,showline:o({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:o({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth},"plot","from-root"),c=s({ticklen:i.ticklen,tickwidth:o({},i.tickwidth,{dflt:2}),tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,tickfont:i.tickfont,tickformat:i.tickformat,hoverformat:i.hoverformat,layer:i.layer},"plot","from-root"),u=o({visible:o({},i.visible,{dflt:!0}),tickvals:{dflt:[.2,.5,1,2,5],valType:"data_array",editType:"plot"},tickangle:o({},i.tickangle,{dflt:90}),ticks:{valType:"enumerated",values:["top","bottom",""],editType:"ticks"},side:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},editType:"calc"},l,c),f=o({visible:o({},i.visible,{dflt:!0}),tickvals:{valType:"data_array",editType:"plot"},ticks:i.ticks,editType:"calc"},l,c);e.exports={domain:a({name:"smith",editType:"plot"}),bgcolor:{valType:"color",editType:"plot",dflt:n.background},realaxis:u,imaginaryaxis:f,editType:"calc"}},{"../../components/color/attributes":360,"../../lib":498,"../../plot_api/edit_types":531,"../cartesian/layout_attributes":564,"../domain":579}],626:[function(t,e,r){"use strict";var n,i,a,o=t("../../lib"),s=t("../../components/color"),l=t("../../plot_api/plot_template"),c=t("../subplot_defaults"),u=t("../get_data").getSubplotData,f=t("../cartesian/prefix_suffix_defaults"),h=t("../cartesian/tick_label_defaults"),p=t("../cartesian/line_grid_defaults"),d=t("../cartesian/set_convert"),m=t("./layout_attributes"),g=t("./constants"),v=g.axisNames,y=(n=function(t){return t.slice().reverse().map((function(t){return-t})).concat([0]).concat(t)},i=String,a={},function(t){var e=i?i(t):t;if(e in a)return a[e];var r=n(t);return a[e]=r,r});function x(t,e,r,n){var i=r("bgcolor");n.bgColor=s.combine(i,n.paper_bgcolor);var a,c=u(n.fullData,g.name,n.id),x=n.layoutOut;function b(t,e){return r(a+"."+t,e)}for(var _=0;_<v.length;_++){a=v[_],o.isPlainObject(t[a])||(t[a]={});var w=t[a],T=l.newContainer(e,a);T._id=T._name=a,T._attr=n.id+"."+a,T._traceIndices=c.map((function(t){return t._expandedIndex}));var k=b("visible");if(T.type="linear",d(T,x),f(w,T,b,T.type),k){var A,M,S,E,L="realaxis"===a;if(L&&b("side"),L)b("tickvals");else b("tickvals",y(e.realaxis.tickvals||m.realaxis.tickvals.dflt));var C=n.font||{};k&&(M=(A=b("color"))===w.color?A:C.color,S=C.size,E=C.family),h(w,T,b,T.type,{noTicklabelstep:!0,noAng:!L,noExp:!0,font:{color:M,size:S,family:E}}),o.coerce2(t,e,m,a+".ticklen"),o.coerce2(t,e,m,a+".tickwidth"),o.coerce2(t,e,m,a+".tickcolor",e.color),b("ticks")||(delete e[a].ticklen,delete e[a].tickwidth,delete e[a].tickcolor),p(w,T,b,{dfltColor:A,bgColor:n.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:m[a]}),b("layer")}b("hoverformat"),delete T.type,T._input=w}}e.exports=function(t,e,r){c(t,e,r,{noUirevision:!0,type:g.name,attributes:m,handleDefaults:x,font:e.font,paper_bgcolor:e.paper_bgcolor,fullData:r,layoutOut:e})}},{"../../components/color":361,"../../lib":498,"../../plot_api/plot_template":538,"../cartesian/line_grid_defaults":566,"../cartesian/prefix_suffix_defaults":568,"../cartesian/set_convert":571,"../cartesian/tick_label_defaults":573,"../get_data":588,"../subplot_defaults":627,"./constants":622,"./layout_attributes":625}],627:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_template"),a=t("./domain").defaults;e.exports=function(t,e,r,o){var s,l,c=o.type,u=o.attributes,f=o.handleDefaults,h=o.partition||"x",p=e._subplots[c],d=p.length,m=d&&p[0].replace(/\d+$/,"");function g(t,e){return n.coerce(s,l,u,t,e)}for(var v=0;v<d;v++){var y=p[v];s=t[y]?t[y]:t[y]={},l=i.newContainer(e,y,m),o.noUirevision||g("uirevision",e.uirevision);var x={};x[h]=[v/d,(v+1)/d],a(l,e,g,x),o.id=y,f(s,l,g,o)}}},{"../lib":498,"../plot_api/plot_template":538,"./domain":579}],628:[function(t,e,r){"use strict";var n=t("../constants/docs");n.FORMAT_LINK,n.DATE_FORMAT_LINK;function i(t){var e=t.description?" "+t.description:"",r=t.keys||[];if(r.length>0){for(var n=[],i=0;i<r.length;i++)n[i]="`"+r[i]+"`";e+="Finally, the template string has access to ",e=1===r.length?"variable "+n[0]:"variables "+n.slice(0,-1).join(", ")+" and "+n.slice(-1)+"."}return e}r.hovertemplateAttrs=function(t,e){t=t||{};i(e=e||{});var r={valType:"string",dflt:"",editType:t.editType||"none"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};i(e=e||{});var r={valType:"string",dflt:"",editType:t.editType||"calc"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{"../constants/docs":469}],629:[function(t,e,r){"use strict";var n=t("./ternary"),i=t("../../plots/get_data").getSubplotCalcData,a=t("../../lib").counterRegex;r.name="ternary";var o=r.attr="subplot";r.idRoot="ternary",r.idRegex=r.attrRegex=a("ternary"),(r.attributes={})[o]={valType:"subplotid",dflt:"ternary",editType:"calc"},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o<a.length;o++){var s=a[o],l=i(r,"ternary",s),c=e[s]._subplot;c||(c=new n({id:s,graphDiv:t,container:e._ternarylayer.node()},e),e[s]._subplot=c),c.plot(l,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.ternary||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers["a-title"].remove(),s.layers["b-title"].remove(),s.layers["c-title"].remove())}}},{"../../lib":498,"../../plots/get_data":588,"./layout_attributes":630,"./layout_defaults":631,"./ternary":632}],630:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../domain").attributes,a=t("../cartesian/layout_attributes"),o=t("../../plot_api/edit_types").overrideAll,s=t("../../lib/extend").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:"number",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:"ternary"}),bgcolor:{valType:"color",dflt:n.background},sum:{valType:"number",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},"plot","from-root");c.uirevision={valType:"any",editType:"none"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:"any",editType:"none"}},{"../../components/color/attributes":360,"../../lib/extend":488,"../../plot_api/edit_types":531,"../cartesian/layout_attributes":564,"../domain":579}],631:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../plot_api/plot_template"),a=t("../../lib"),o=t("../subplot_defaults"),s=t("../cartesian/tick_label_defaults"),l=t("../cartesian/prefix_suffix_defaults"),c=t("../cartesian/tick_mark_defaults"),u=t("../cartesian/tick_value_defaults"),f=t("../cartesian/line_grid_defaults"),h=t("./layout_attributes"),p=["aaxis","baxis","caxis"];function d(t,e,r,a){var o,s,l,c=r("bgcolor"),u=r("sum");a.bgColor=n.combine(c,a.paper_bgcolor);for(var f=0;f<p.length;f++)s=t[o=p[f]]||{},(l=i.newContainer(e,o))._name=o,m(s,l,a,e);var h=e.aaxis,d=e.baxis,g=e.caxis;h.min+d.min+g.min>=u&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function m(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o("uirevision",n.uirevision),e.type="linear";var p=o("color"),d=p!==i.color.dflt?p:r.font.color,m=e._name.charAt(0).toUpperCase(),g="Component "+m,v=o("title.text",g);e._hovertitle=v===g?v:m,a.coerceFont(o,"title.font",{family:r.font.family,size:a.bigFont(r.font.size),color:d}),o("min"),u(t,e,o,"linear"),l(t,e,o,"linear"),s(t,e,o,"linear"),c(t,e,o,{outerTicks:!0}),o("showticklabels")&&(a.coerceFont(o,"tickfont",{family:r.font.family,size:r.font.size,color:d}),o("tickangle"),o("tickformat")),f(t,e,o,{dfltColor:p,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o("hoverformat"),o("layer")}e.exports=function(t,e,r){o(t,e,r,{type:"ternary",attributes:h,handleDefaults:d,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{"../../components/color":361,"../../lib":498,"../../plot_api/plot_template":538,"../cartesian/line_grid_defaults":566,"../cartesian/prefix_suffix_defaults":568,"../cartesian/tick_label_defaults":573,"../cartesian/tick_mark_defaults":574,"../cartesian/tick_value_defaults":575,"../subplot_defaults":627,"./layout_attributes":630}],632:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=o.strTranslate,l=o._,c=t("../../components/color"),u=t("../../components/drawing"),f=t("../cartesian/set_convert"),h=t("../../lib/extend").extendFlat,p=t("../plots"),d=t("../cartesian/axes"),m=t("../../components/dragelement"),g=t("../../components/fx"),v=t("../../components/dragelement/helpers"),y=v.freeMode,x=v.rectMode,b=t("../../components/titles"),_=t("../cartesian/select").prepSelect,w=t("../cartesian/select").selectOnClick,T=t("../cartesian/select").clearSelect,k=t("../cartesian/select").clearSelectionsCache,A=t("../cartesian/constants");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select("path").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId="clip"+this.layoutId+this.id,i=this.clipIdRelative="clip-relative"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,"clipPath",n,(function(t){t.append("path").attr("d","M0,0Z")})),this.clipDefRelative=o.ensureSingleById(t._clips,"clipPath",i,(function(t){t.append("path").attr("d","M0,0Z")})),this.plotContainer=o.ensureSingle(this.container,"g",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=["draglayer","plotbg","backplot","grids"];"below traces"===t.aaxis.layer&&r.push("aaxis","aline"),"below traces"===t.baxis.layer&&r.push("baxis","bline"),"below traces"===t.caxis.layer&&r.push("caxis","cline"),r.push("frontplot"),"above traces"===t.aaxis.layer&&r.push("aaxis","aline"),"above traces"===t.baxis.layer&&r.push("baxis","bline"),"above traces"===t.caxis.layer&&r.push("caxis","cline");var i=this.plotContainer.selectAll("g.toplevel").data(r,String),a=["agrid","bgrid","cgrid"];i.enter().append("g").attr("class",(function(t){return"toplevel "+t})).each((function(t){var r=n.select(this);e[t]=r,"frontplot"===t?r.append("g").classed("scatterlayer",!0):"backplot"===t?r.append("g").classed("maplayer",!0):"plotbg"===t?r.append("path").attr("d","M0,0Z"):"aline"===t||"bline"===t||"cline"===t?r.append("path"):"grids"===t&&a.forEach((function(t){e[t]=r.append("g").classed("grid "+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:"linear",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:"x"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:"linear",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:"y"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:"left",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:"free",position:0,_id:"y",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:"bottom",domain:p.xaxis.domain,anchor:"free",position:0,_id:"x",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:"right",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:"free",position:0,_id:"y",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C="M"+r+","+(n+a)+"h"+i+"l-"+i/2+",-"+a+"Z";p.clipDef.select("path").attr("d",C),p.layers.plotbg.select("path").attr("d",C);var P="M0,"+a+"h"+i+"l-"+i/2+",-"+a+"Z";p.clipDefRelative.select("path").attr("d",P);var I=s(r,n);p.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",I),p.clipDefRelative.select("path").attr("transform",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr("transform",O),p.layers.bgrid.attr("transform",O);var z=s(r+i/2,n)+"rotate(30)"+s(0,-M._offset);p.layers.aaxis.attr("transform",z),p.layers.agrid.attr("transform",z);var D=s(r+i/2,n)+"rotate(-30)"+s(0,-L._offset);p.layers.caxis.attr("transform",D),p.layers.cgrid.attr("transform",D),p.drawAxes(!0),p.layers.aline.select("path").attr("d",M.showline?"M"+r+","+(n+a)+"l"+i/2+",-"+a:"M0,0").call(c.stroke,M.linecolor||"#000").style("stroke-width",(M.linewidth||0)+"px"),p.layers.bline.select("path").attr("d",S.showline?"M"+r+","+(n+a)+"h"+i:"M0,0").call(c.stroke,S.linecolor||"#000").style("stroke-width",(S.linewidth||0)+"px"),p.layers.cline.select("path").attr("d",L.showline?"M"+(r+i/2)+","+n+"l"+i/2+","+a:"M0,0").call(c.stroke,L.linecolor||"#000").style("stroke-width",(L.linewidth||0)+"px"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+"title",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+("outside"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+("outside"===a.ticks?a.ticklen:0)+3;n["a-title"]=b.draw(e,"a"+r,{propContainer:i,propName:this.id+".aaxis.title",placeholder:l(e,"Click to enter Component A title"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,"text-anchor":"middle"}}),n["b-title"]=b.draw(e,"b"+r,{propContainer:a,propName:this.id+".baxis.title",placeholder:l(e,"Click to enter Component B title"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,"text-anchor":"middle"}}),n["c-title"]=b.draw(e,"c"+r,{propContainer:o,propName:this.id+".caxis.title",placeholder:l(e,"Click to enter Component C title"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,"text-anchor":"middle"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+"tickLayout",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll("."+a+"tick").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],m=o.deg2rad(30),g=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b="b"===i?"M0,"+g+"l"+Math.sin(m)*v+","+Math.cos(m)*v:"M"+g+",0l"+Math.cos(m)*v+","+-Math.sin(m)*v,_={a:"M0,0l"+x+",-"+y/2,b:"M0,0l-"+y/2+",-"+x,c:"M0,0l-"+x+","+y/2}[i];d.drawTicks(r,t,{vals:"inside"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+"grid"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C="m-0.87,.5h"+L+"v3h-"+(L+5.2)+"l"+(L/2+2.6)+",-"+(.87*L+4.5)+"l2.6,1.5l-"+L/2+","+.87*L+"Z",P="m0.87,.5h-"+L+"v3h"+(L+5.2)+"l-"+(L/2+2.6)+",-"+(.87*L+4.5)+"l-2.6,1.5l"+L/2+","+.87*L+"Z",I="m0,1l"+L/2+","+.87*L+"l2.6,-1.5l-"+(L/2+2.6)+",-"+(.87*L+4.5)+"l-"+(L/2+2.6)+","+(.87*L+4.5)+"l2.6,1.5l"+L/2+",-"+.87*L+"Z",O=!0;function z(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select("path").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+".aaxis.min"]=t.a,e[M.id+".baxis.min"]=t.b,e[M.id+".caxis.min"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit("plotly_doubleclick",null),a.call("_guiRelayout",L,R({a:0,b:0,c:0}))),r.indexOf("select")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf("event")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,y=(m+g)/2,x=g-m,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr("d",v),k.attr("d","M0,0Z")):(p={a:f.a+l*h,b:f.b+c*h,c:f.c+u*h},T.attr("d",v+"M"+m+","+_+"H"+g+"L"+y+","+w+"L"+m+","+_+"Z"),k.attr("d","M"+r+","+n+"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM"+m+","+_+C+"M"+g+","+_+P+"M"+y+","+w+I)),b||(T.transition().style("fill",d>.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),k.transition().style("opacity",1).duration(200),b=!0),L.emit("plotly_relayouting",R(p))}function V(){z(L),p!==f&&(a.call("_guiRelayout",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,"Double-click to zoom back out"),"long"),O=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",h);var d=s(-t,-e);M.clipDefRelative.select("path").attr("transform",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(".scatterlayer").selectAll(".trace").call(u.hideOutsideRangePoints,M),L.emit("plotly_relayouting",R(p))}function q(){a.call("_guiRelayout",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var m=M.dragOptions.dragmode=L._fullLayout.dragmode;y(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,"zoom"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var u=L._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),v="M0,"+M.h+"L"+M.w/2+", 0L"+M.w+","+M.h+"Z",b=!1,T=D.append("path").attr("class","zoombox").attr("transform",s(M.x0,M.y0)).style({fill:d>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("d",v),k=D.append("path").attr("class","zoombox-corners").attr("transform",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,"stroke-width":1,opacity:0}).attr("d","M0,0Z"),M.clearSelect(L)}(0,l,u)):"pan"===m?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearSelect(L)):(x(m)||y(m))&&_(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||m.unhover(L,t)},m.init(this.dragOptions)}},{"../../components/color":361,"../../components/dragelement":380,"../../components/dragelement/helpers":379,"../../components/drawing":383,"../../components/fx":401,"../../components/titles":459,"../../lib":498,"../../lib/extend":488,"../../registry":633,"../cartesian/axes":549,"../cartesian/constants":556,"../cartesian/select":570,"../cartesian/set_convert":571,"../plots":614,"@plotly/d3":58,tinycolor2:307}],633:[function(t,e,r){"use strict";var n=t("./lib/loggers"),i=t("./lib/noop"),a=t("./lib/push_unique"),o=t("./lib/is_plain_object"),s=t("./lib/dom").addStyleRule,l=t("./lib/extend"),c=t("./plots/attributes"),u=t("./plots/layout_attributes"),f=l.extendFlat,h=l.extendDeepAll;function p(t){var e=t.name,i=t.categories,a=t.meta;if(r.modules[e])n.log("Type "+e+" already registered");else{r.subplotsRegistry[t.basePlotModule.name]||function(t){var e=t.name;if(r.subplotsRegistry[e])return void n.log("Plot type "+e+" already registered.");for(var i in v(t),r.subplotsRegistry[e]=t,r.componentsRegistry)b(i,t.name)}(t.basePlotModule);for(var o={},l=0;l<i.length;l++)o[i[l]]=!0,r.allCategories[i[l]]=!0;for(var c in r.modules[e]={_module:t,categories:o},a&&Object.keys(a).length&&(r.modules[e].meta=a),r.allTypes.push(e),r.componentsRegistry)y(c,e);t.layoutAttributes&&f(r.traceLayoutAttributes,t.layoutAttributes);var u=t.basePlotModule,h=u.name;if("mapbox"===h){var p=u.constants.styleRules;for(var d in p)s(".js-plotly-plot .plotly .mapboxgl-"+d,p[d])}"geo"!==h&&"mapbox"!==h||void 0===typeof window||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if("string"!=typeof t.name)throw new Error("Component module *name* must be a string.");var e=t.name;for(var n in r.componentsRegistry[e]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(r.layoutArrayContainers,e),v(t)),r.modules)y(e,n);for(var i in r.subplotsRegistry)b(e,i);for(var o in r.transformsRegistry)x(e,o);t.schema&&t.schema.layout&&h(u,t.schema.layout)}function m(t){if("string"!=typeof t.name)throw new Error("Transform module *name* must be a string.");var e="Transform module "+t.name,i="function"==typeof t.transform,a="function"==typeof t.calcTransform;if(!i&&!a)throw new Error(e+" is missing a *transform* or *calcTransform* method.");for(var s in i&&a&&n.log([e+" has both a *transform* and *calcTransform* methods.","Please note that all *transform* methods are executed","before all *calcTransform* methods."].join(" ")),o(t.attributes)||n.log(e+" registered without an *attributes* object."),"function"!=typeof t.supplyDefaults&&n.log(e+" registered without a *supplyDefaults* method."),r.transformsRegistry[t.name]=t,r.componentsRegistry)x(s,t.name)}function g(t){var e=t.name,n=e.split("-")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=r.localeRegistry,c=l[e];if(c||(l[e]=c={}),n!==e){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function v(t){if(t.layoutAttributes){var e=t.layoutAttributes._arrayAttrRegexps;if(e)for(var n=0;n<e.length;n++)a(r.layoutArrayRegexes,e[n])}}function y(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[e];i&&h(r.modules[e]._module.attributes,i)}}function x(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&h(r.transformsRegistry[e].attributes,i)}}function b(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o="subplot"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&h(a,s)}}function _(t){return"object"==typeof t&&(t=t.type),t}r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.localeRegistry={},r.apiMethodRegistry={},r.collectableSubplotTypes=null,r.register=function(t){if(r.collectableSubplotTypes=null,!t)throw new Error("No argument passed to Plotly.register.");t&&!Array.isArray(t)&&(t=[t]);for(var e=0;e<t.length;e++){var n=t[e];if(!n)throw new Error("Invalid module was attempted to be registered!");switch(n.moduleType){case"trace":p(n);break;case"transform":m(n);break;case"component":d(n);break;case"locale":g(n);break;case"apiMethod":var i=n.name;r.apiMethodRegistry[i]=n.fn;break;default:throw new Error("Invalid module was attempted to be registered!")}}},r.getModule=function(t){var e=r.modules[_(t)];return!!e&&e._module},r.traceIs=function(t,e){if("various"===(t=_(t)))return!1;var i=r.modules[t];return i||(t&&n.log("Unrecognized trace type "+t+"."),i=r.modules[c.type.dflt]),!!i.categories[e]},r.getTransformIndices=function(t,e){for(var r=[],n=t.transforms||[],i=0;i<n.length;i++)n[i].type===e&&r.push(i);return r},r.hasTransform=function(t,e){for(var r=t.transforms||[],n=0;n<r.length;n++)if(r[n].type===e)return!0;return!1},r.getComponentMethod=function(t,e){var n=r.componentsRegistry[t];return n&&n[e]||i},r.call=function(){var t=arguments[0],e=[].slice.call(arguments,1);return r.apiMethodRegistry[t].apply(null,e)}},{"./lib/dom":486,"./lib/extend":488,"./lib/is_plain_object":499,"./lib/loggers":502,"./lib/noop":507,"./lib/push_unique":513,"./plots/attributes":545,"./plots/layout_attributes":605}],634:[function(t,e,r){"use strict";var n=t("../registry"),i=t("../lib"),a=i.extendFlat,o=i.extendDeep;function s(t){var e;switch(t){case"themes__thumb":e={autosize:!0,width:150,height:150,title:{text:""},showlegend:!1,margin:{l:5,r:5,t:5,b:5,pad:0},annotations:[]};break;case"thumbnail":e={title:{text:""},hidesources:!0,showlegend:!1,borderwidth:0,bordercolor:"",margin:{l:1,r:1,t:1,b:1,pad:0},annotations:[]};break;default:e={}}return e}e.exports=function(t,e){var r,i,l=t.data,c=t.layout,u=o([],l),f=o({},c,s(e.tileClass)),h=t._context||{};if(e.width&&(f.width=e.width),e.height&&(f.height=e.height),"thumbnail"===e.tileClass||"themes__thumb"===e.tileClass){f.annotations=[];var p=Object.keys(f);for(r=0;r<p.length;r++)i=p[r],["xaxis","yaxis","zaxis"].indexOf(i.slice(0,5))>-1&&(f[p[r]].title={text:""});for(r=0;r<u.length;r++){var d=u[r];d.showscale=!1,d.marker&&(d.marker.showscale=!1),n.traceIs(d,"pie-like")&&(d.textposition="none")}}if(Array.isArray(e.annotations))for(r=0;r<e.annotations.length;r++)f.annotations.push(e.annotations[r]);var m=Object.keys(f).filter((function(t){return t.match(/^scene\d*$/)}));if(m.length){var g={};for("thumbnail"===e.tileClass&&(g={title:{text:""},showaxeslabels:!1,showticklabels:!1,linetickenable:!1}),r=0;r<m.length;r++){var v=f[m[r]];v.xaxis||(v.xaxis={}),v.yaxis||(v.yaxis={}),v.zaxis||(v.zaxis={}),a(v.xaxis,g),a(v.yaxis,g),a(v.zaxis,g),v._scene=null}}var y=document.createElement("div");e.tileClass&&(y.className=e.tileClass);var x={gd:y,td:y,layout:f,data:u,config:{staticPlot:void 0===e.staticPlot||e.staticPlot,plotGlPixelRatio:void 0===e.plotGlPixelRatio?2:e.plotGlPixelRatio,displaylogo:e.displaylogo||!1,showLink:e.showLink||!1,showTips:e.showTips||!1,mapboxAccessToken:h.mapboxAccessToken}};return"transparent"!==e.setBackground&&(x.config.setBackground=e.setBackground||"opaque"),x.gd.defaultLayout=s(e.tileClass),x}},{"../lib":498,"../registry":633}],635:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/to_image"),a=t("./filesaver"),o=t("./helpers");e.exports=function(t,e){var r;return n.isPlainObject(t)||(r=n.getGraphDiv(t)),(e=e||{}).format=e.format||"png",e.width=e.width||null,e.height=e.height||null,e.imageDataOnly=!0,new Promise((function(s,l){r&&r._snapshotInProgress&&l(new Error("Snapshotting already in progress.")),n.isIE()&&"svg"!==e.format&&l(new Error(o.MSG_IE_BAD_FORMAT)),r&&(r._snapshotInProgress=!0);var c=i(t,e),u=e.filename||t.fn||"newplot";u+="."+e.format.replace("-","."),c.then((function(t){return r&&(r._snapshotInProgress=!1),a(t,u,e.format)})).then((function(t){s(t)})).catch((function(t){r&&(r._snapshotInProgress=!1),l(t)}))}))}},{"../lib":498,"../plot_api/to_image":541,"./filesaver":636,"./helpers":637}],636:[function(t,e,r){"use strict";var n=t("../lib"),i=t("./helpers");e.exports=function(t,e,r){var a=document.createElement("a"),o="download"in a;return new Promise((function(s,l){var c,u;if(n.isIE())return c=i.createBlob(t,"svg"),window.navigator.msSaveBlob(c,e),c=null,s(e);if(o)return c=i.createBlob(t,r),u=i.createObjectURL(c),a.href=u,a.download=e,document.body.appendChild(a),a.click(),document.body.removeChild(a),i.revokeObjectURL(u),c=null,s(e);if(n.isSafari()){var f="svg"===r?",":";base64,";return i.octetStream(f+encodeURIComponent(t)),s(e)}l(new Error("download error"))}))}},{"../lib":498,"./helpers":637}],637:[function(t,e,r){"use strict";var n=t("../registry");r.getDelay=function(t){return t._has&&(t._has("gl3d")||t._has("gl2d")||t._has("mapbox"))?500:0},r.getRedrawFunc=function(t){return function(){n.getComponentMethod("colorbar","draw")(t)}},r.encodeSVG=function(t){return"data:image/svg+xml,"+encodeURIComponent(t)},r.encodeJSON=function(t){return"data:application/json,"+encodeURIComponent(t)};var i=window.URL||window.webkitURL;r.createObjectURL=function(t){return i.createObjectURL(t)},r.revokeObjectURL=function(t){return i.revokeObjectURL(t)},r.createBlob=function(t,e){if("svg"===e)return new window.Blob([t],{type:"image/svg+xml;charset=utf-8"});if("full-json"===e)return new window.Blob([t],{type:"application/json;charset=utf-8"});var r=function(t){for(var e=t.length,r=new ArrayBuffer(e),n=new Uint8Array(r),i=0;i<e;i++)n[i]=t.charCodeAt(i);return r}(window.atob(t));return new window.Blob([r],{type:"image/"+e})},r.octetStream=function(t){document.location.href="data:application/octet-stream"+t},r.IMAGE_URL_PREFIX=/^data:image\/\w+;base64,/,r.MSG_IE_BAD_FORMAT="Sorry IE does not support downloading from canvas. Try {format:'svg'} instead."},{"../registry":633}],638:[function(t,e,r){"use strict";var n=t("./helpers"),i={getDelay:n.getDelay,getRedrawFunc:n.getRedrawFunc,clone:t("./cloneplot"),toSVG:t("./tosvg"),svgToImg:t("./svgtoimg"),toImage:t("./toimage"),downloadImage:t("./download")};e.exports=i},{"./cloneplot":634,"./download":635,"./helpers":637,"./svgtoimg":639,"./toimage":640,"./tosvg":641}],639:[function(t,e,r){"use strict";var n=t("../lib"),i=t("events").EventEmitter,a=t("./helpers");e.exports=function(t){var e=t.emitter||new i,r=new Promise((function(i,o){var s=window.Image,l=t.svg,c=t.format||"png";if(n.isIE()&&"svg"!==c){var u=new Error(a.MSG_IE_BAD_FORMAT);return o(u),t.promise?r:e.emit("error",u)}var f,h,p=t.canvas,d=t.scale||1,m=t.width||300,g=t.height||150,v=d*m,y=d*g,x=p.getContext("2d"),b=new s;"svg"===c||n.isSafari()?h=a.encodeSVG(l):(f=a.createBlob(l,"svg"),h=a.createObjectURL(f)),p.width=v,p.height=y,b.onload=function(){var r;switch(f=null,a.revokeObjectURL(h),"svg"!==c&&x.drawImage(b,0,0,v,y),c){case"jpeg":r=p.toDataURL("image/jpeg");break;case"png":r=p.toDataURL("image/png");break;case"webp":r=p.toDataURL("image/webp");break;case"svg":r=h;break;default:var n="Image format is not jpeg, png, svg or webp.";if(o(new Error(n)),!t.promise)return e.emit("error",n)}i(r),t.promise||e.emit("success",r)},b.onerror=function(r){if(f=null,a.revokeObjectURL(h),o(r),!t.promise)return e.emit("error",r)},b.src=h}));return t.promise?r:e}},{"../lib":498,"./helpers":637,events:181}],640:[function(t,e,r){"use strict";var n=t("events").EventEmitter,i=t("../registry"),a=t("../lib"),o=t("./helpers"),s=t("./cloneplot"),l=t("./tosvg"),c=t("./svgtoimg");e.exports=function(t,e){var r=new n,u=s(t,{format:"png"}),f=u.gd;f.style.position="absolute",f.style.left="-5000px",document.body.appendChild(f);var h=o.getRedrawFunc(f);return i.call("_doPlot",f,u.data,u.layout,u.config).then(h).then((function(){var t=o.getDelay(f._fullLayout);setTimeout((function(){var t=l(f),n=document.createElement("canvas");n.id=a.randstr(),(r=c({format:e.format,width:f._fullLayout.width,height:f._fullLayout.height,canvas:n,emitter:r,svg:t})).clean=function(){f&&document.body.removeChild(f)}}),t)})).catch((function(t){r.emit("error",t)})),r}},{"../lib":498,"../registry":633,"./cloneplot":634,"./helpers":637,"./svgtoimg":639,"./tosvg":641,events:181}],641:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../lib"),a=t("../components/drawing"),o=t("../components/color"),s=t("../constants/xmlns_namespaces"),l=/"/g,c=new RegExp('("TOBESTRIPPED)|(TOBESTRIPPED")',"g");e.exports=function(t,e,r){var u,f=t._fullLayout,h=f._paper,p=f._toppaper,d=f.width,m=f.height;h.insert("rect",":first-child").call(a.setRect,0,0,d,m).call(o.fill,f.paper_bgcolor);var g=f._basePlotModules||[];for(u=0;u<g.length;u++){var v=g[u];v.toSVG&&v.toSVG(t)}if(p){var y=p.node().childNodes,x=Array.prototype.slice.call(y);for(u=0;u<x.length;u++){var b=x[u];b.childNodes.length&&h.node().appendChild(b)}}f._draggers&&f._draggers.remove(),h.node().style.background="",h.selectAll("text").attr({"data-unformatted":null,"data-math":null}).each((function(){var t=n.select(this);if("hidden"!==this.style.visibility&&"none"!==this.style.display){t.style({visibility:null,display:null});var e=this.style.fontFamily;e&&-1!==e.indexOf('"')&&t.style("font-family",e.replace(l,"TOBESTRIPPED"))}else t.remove()})),h.selectAll(".gradient_filled,.pattern_filled").each((function(){var t=n.select(this),e=this.style.fill;e&&-1!==e.indexOf("url(")&&t.style("fill",e.replace(l,"TOBESTRIPPED"));var r=this.style.stroke;r&&-1!==r.indexOf("url(")&&t.style("stroke",r.replace(l,"TOBESTRIPPED"))})),"pdf"!==e&&"eps"!==e||h.selectAll("#MathJax_SVG_glyphs path").attr("stroke-width",0),h.node().setAttributeNS(s.xmlns,"xmlns",s.svg),h.node().setAttributeNS(s.xmlns,"xmlns:xlink",s.xlink),"svg"===e&&r&&(h.attr("width",r*d),h.attr("height",r*m),h.attr("viewBox","0 0 "+d+" "+m));var _=(new window.XMLSerializer).serializeToString(h.node());return _=function(t){var e=n.select("body").append("div").style({display:"none"}).html(""),r=t.replace(/(&[^;]*;)/gi,(function(t){return"&lt;"===t?"&#60;":"&rt;"===t?"&#62;":-1!==t.indexOf("<")||-1!==t.indexOf(">")?"":e.html(t).text()}));return e.remove(),r}(_),_=(_=_.replace(/&(?!\w+;|\#[0-9]+;| \#x[0-9A-F]+;)/g,"&amp;")).replace(c,"'"),i.isIE()&&(_=(_=(_=_.replace(/"/gi,"'")).replace(/(\('#)([^']*)('\))/gi,'("#$2")')).replace(/(\\')/gi,'"')),_}},{"../components/color":361,"../components/drawing":383,"../constants/xmlns_namespaces":475,"../lib":498,"@plotly/d3":58}],642:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.hovertext,t,"htx");var i=e.marker;if(i){n.mergeArray(i.opacity,t,"mo",!0),n.mergeArray(i.color,t,"mc");var a=i.line;a&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"))}}},{"../../lib":498}],643:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../components/colorscale/attributes"),l=t("../../plots/font_attributes"),c=t("./constants"),u=t("../../components/drawing/attributes").pattern,f=t("../../lib/extend").extendFlat,h=l({editType:"calc",arrayOk:!0,colorEditType:"style"}),p=f({},n.marker.line.width,{dflt:0}),d=f({width:p,editType:"calc"},s("marker.line")),m=f({line:d,editType:"calc"},s("marker"),{opacity:{valType:"number",arrayOk:!0,dflt:1,min:0,max:1,editType:"style"},pattern:u});e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:i("x"),yhoverformat:i("y"),text:n.text,texttemplate:o({editType:"plot"},{keys:c.eventDataKeys}),hovertext:n.hovertext,hovertemplate:a({},{keys:c.eventDataKeys}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"calc"},insidetextanchor:{valType:"enumerated",values:["end","middle","start"],dflt:"end",editType:"plot"},textangle:{valType:"angle",dflt:"auto",editType:"plot"},textfont:f({},h,{}),insidetextfont:f({},h,{}),outsidetextfont:f({},h,{}),constraintext:{valType:"enumerated",values:["inside","outside","both","none"],dflt:"both",editType:"calc"},cliponaxis:f({},n.cliponaxis,{}),orientation:{valType:"enumerated",values:["v","h"],editType:"calc+clearAxisTypes"},base:{valType:"any",dflt:null,arrayOk:!0,editType:"calc"},offset:{valType:"number",dflt:null,arrayOk:!0,editType:"calc"},width:{valType:"number",dflt:null,min:0,arrayOk:!0,editType:"calc"},marker:m,offsetgroup:{valType:"string",dflt:"",editType:"calc"},alignmentgroup:{valType:"string",dflt:"",editType:"calc"},selected:{marker:{opacity:n.selected.marker.opacity,color:n.selected.marker.color,editType:"style"},textfont:n.selected.textfont,editType:"style"},unselected:{marker:{opacity:n.unselected.marker.opacity,color:n.unselected.marker.color,editType:"style"},textfont:n.unselected.textfont,editType:"style"},_deprecated:{bardir:{valType:"enumerated",editType:"calc",values:["v","h"]}}}},{"../../components/colorscale/attributes":368,"../../components/drawing/attributes":382,"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../../plots/font_attributes":580,"../../plots/template_attributes":628,"../scatter/attributes":922,"./constants":645}],644:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("../../components/colorscale/helpers").hasColorscale,o=t("../../components/colorscale/calc"),s=t("./arrays_to_calcdata"),l=t("../scatter/calc_selection");e.exports=function(t,e){var r,c,u,f,h,p,d=n.getFromId(t,e.xaxis||"x"),m=n.getFromId(t,e.yaxis||"y"),g={msUTC:!(!e.base&&0!==e.base)};"h"===e.orientation?(r=d.makeCalcdata(e,"x",g),u=m.makeCalcdata(e,"y"),f=i(e,m,"y",u),h=!!e.yperiodalignment,p="y"):(r=m.makeCalcdata(e,"y",g),u=d.makeCalcdata(e,"x"),f=i(e,d,"x",u),h=!!e.xperiodalignment,p="x"),c=f.vals;for(var v=Math.min(c.length,r.length),y=new Array(v),x=0;x<v;x++)y[x]={p:c[x],s:r[x]},h&&(y[x].orig_p=u[x],y[x][p+"End"]=f.ends[x],y[x][p+"Start"]=f.starts[x]),e.ids&&(y[x].id=String(e.ids[x]));return a(e,"marker")&&o(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),a(e,"marker.line")&&o(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}),s(y,e),l(y,e),y}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"../scatter/calc_selection":924,"./arrays_to_calcdata":642}],645:[function(t,e,r){"use strict";e.exports={TEXTPAD:3,eventDataKeys:["value","label"]}},{}],646:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib").isArrayOrTypedArray,a=t("../../constants/numerical").BADNUM,o=t("../../registry"),s=t("../../plots/cartesian/axes"),l=t("../../plots/cartesian/constraints").getAxisGroup,c=t("./sieve.js");function u(t,e,r,o,u){if(o.length){var b,_,w,T;switch(function(t,e){var r,a;for(r=0;r<e.length;r++){var o,s=e[r],l=s[0].trace,c="funnel"===l.type?l._base:l.base,u="h"===l.orientation?l.xcalendar:l.ycalendar,f="category"===t.type||"multicategory"===t.type?function(){return null}:t.d2c;if(i(c)){for(a=0;a<Math.min(c.length,s.length);a++)o=f(c[a],0,u),n(o)?(s[a].b=+o,s[a].hasB=1):s[a].b=0;for(;a<s.length;a++)s[a].b=0}else{o=f(c,0,u);var h=n(o);for(o=h?o:0,a=0;a<s.length;a++)s[a].b=o,h&&(s[a].hasB=1)}}}(r,o),u.mode){case"overlay":f(e,r,o,u);break;case"group":for(b=[],_=[],w=0;w<o.length;w++)void 0===(T=o[w])[0].trace.offset?_.push(T):b.push(T);_.length&&function(t,e,r,n,i){var o=new c(n,{posAxis:e,sepNegVal:!1,overlapNoMerge:!i.norm});(function(t,e,r,n){for(var i=t._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,c=r.traces,u=c.length,f=a.length!==o.length,h=s*(1-n.gap),g=l(i,e._id)+c[0][0].trace.orientation,v=i._alignmentOpts[g]||{},y=0;y<u;y++){var x,b,_=c[y],w=_[0].trace,T=v[w.alignmentgroup]||{},k=Object.keys(T.offsetGroups||{}).length,A=(x=k?h/k:f?h/u:h)*(1-(n.groupgap||0));b=k?((2*w._offsetIndex+1-k)*x-A)/2:f?((2*y+1-u)*x-A)/2:-A/2;var M=_[0].t;M.barwidth=A,M.poffset=b,M.bargroupwidth=h,M.bardelta=s}r.binWidth=c[0][0].t.barwidth/100,p(r),d(e,r),m(e,r,f)})(t,e,o,i),function(t,e){for(var r=t.traces,n=0;n<r.length;n++){var i=r[n];if(void 0===i[0].trace.base)for(var o=new c([i],{posAxis:e,sepNegVal:!0,overlapNoMerge:!0}),s=0;s<i.length;s++){var l=i[s];if(l.p!==a){var u=o.put(l.p,l.b+l.s);u&&(l.b=u)}}}}(o,e),i.norm?(v(o),y(r,o,i)):g(r,o)}(t,e,r,_,u),b.length&&f(e,r,b,u);break;case"stack":case"relative":for(b=[],_=[],w=0;w<o.length;w++)void 0===(T=o[w])[0].trace.base?_.push(T):b.push(T);_.length&&function(t,e,r,n,i){var o=new c(n,{posAxis:e,sepNegVal:"relative"===i.mode,overlapNoMerge:!(i.norm||"stack"===i.mode||"relative"===i.mode)});h(e,o,i),function(t,e,r){var n,i,o,l,c,u,f=x(t),h=e.traces;for(l=0;l<h.length;l++)if(n=h[l],"funnel"===(i=n[0].trace).type)for(c=0;c<n.length;c++)(u=n[c]).s!==a&&e.put(u.p,-.5*u.s);for(l=0;l<h.length;l++){n=h[l],i=n[0].trace,o="funnel"===i.type;var p=[];for(c=0;c<n.length;c++)if((u=n[c]).s!==a){var d;d=o?u.s:u.s+u.b;var m=e.put(u.p,d),g=m+d;u.b=m,u[f]=g,r.norm||(p.push(g),u.hasB&&p.push(m))}r.norm||(i._extremes[t._id]=s.findExtremes(t,p,{tozero:!0,padded:!0}))}}(r,o,i);for(var l=0;l<n.length;l++)for(var u=n[l],f=0;f<u.length;f++){var p=u[f];if(p.s!==a)p.b+p.s===o.get(p.p,p.s)&&(p._outmost=!0)}i.norm&&y(r,o,i)}(0,e,r,_,u),b.length&&f(e,r,b,u)}!function(t,e){var r,i,a,o=x(e),s={},l=1/0,c=-1/0;for(r=0;r<t.length;r++)for(a=t[r],i=0;i<a.length;i++){var u=a[i].p;n(u)&&(l=Math.min(l,u),c=Math.max(c,u))}var f=1e4/(c-l),h=s.round=function(t){return String(Math.round(f*(t-l)))};for(r=0;r<t.length;r++){(a=t[r])[0].t.extents=s;var p=a[0].t.poffset,d=Array.isArray(p);for(i=0;i<a.length;i++){var m=a[i],g=m[o]-m.w/2;if(n(g)){var v=m[o]+m.w/2,y=h(m.p);s[y]?s[y]=[Math.min(g,s[y][0]),Math.max(v,s[y][1])]:s[y]=[g,v]}m.p0=m.p+(d?p[i]:p),m.p1=m.p0+m.w,m.s0=m.b,m.s1=m.s0+m.s}}}(o,e)}}function f(t,e,r,n){for(var i=0;i<r.length;i++){var a=r[i],o=new c([a],{posAxis:t,sepNegVal:!1,overlapNoMerge:!n.norm});h(t,o,n),n.norm?(v(o),y(e,o,n)):g(e,o)}}function h(t,e,r){for(var n=e.minDiff,i=e.traces,a=n*(1-r.gap),o=a*(1-(r.groupgap||0)),s=-o/2,l=0;l<i.length;l++){var c=i[l][0].t;c.barwidth=o,c.poffset=s,c.bargroupwidth=a,c.bardelta=n}e.binWidth=i[0][0].t.barwidth/100,p(e),d(t,e),m(t,e)}function p(t){var e,r,a=t.traces;for(e=0;e<a.length;e++){var o,s=a[e],l=s[0],c=l.trace,u=l.t,f=c._offset||c.offset,h=u.poffset;if(i(f)){for(o=Array.prototype.slice.call(f,0,s.length),r=0;r<o.length;r++)n(o[r])||(o[r]=h);for(r=o.length;r<s.length;r++)o.push(h);u.poffset=o}else void 0!==f&&(u.poffset=f);var p=c._width||c.width,d=u.barwidth;if(i(p)){var m=Array.prototype.slice.call(p,0,s.length);for(r=0;r<m.length;r++)n(m[r])||(m[r]=d);for(r=m.length;r<s.length;r++)m.push(d);if(u.barwidth=m,void 0===f){for(o=[],r=0;r<s.length;r++)o.push(h+(d-m[r])/2);u.poffset=o}}else void 0!==p&&(u.barwidth=p,void 0===f&&(u.poffset=h+(d-p)/2))}}function d(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=Array.isArray(s),c=o.barwidth,u=Array.isArray(c),f=0;f<a.length;f++){var h=a[f],p=h.w=u?c[f]:c;h[n]=h.p+(l?s[f]:s)+p/2}}function m(t,e,r){var n=e.traces,i=e.minDiff/2;s.minDtick(t,e.minDiff,e.distinctPositions[0],r);for(var a=0;a<n.length;a++){var o,l,c,u,f=n[a],h=f[0],p=h.trace,d=[];for(u=0;u<f.length;u++)l=(o=f[u]).p-i,c=o.p+i,d.push(l,c);if(p.width||p.offset){var m=h.t,g=m.poffset,v=m.barwidth,y=Array.isArray(g),x=Array.isArray(v);for(u=0;u<f.length;u++){o=f[u];var b=y?g[u]:g,_=x?v[u]:v;c=(l=o.p+b)+_,d.push(l,c)}}p._extremes[t._id]=s.findExtremes(t,d,{padded:!1})}}function g(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,l=[],c=!1,u=0;u<a.length;u++){var f=a[u],h=f.b,p=h+f.s;f[n]=p,l.push(p),f.hasB&&l.push(h),f.hasB&&f.b||(c=!0)}o._extremes[t._id]=s.findExtremes(t,l,{tozero:c,padded:!0})}}function v(t){for(var e=t.traces,r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var o=n[i];o.s!==a&&t.put(o.p,o.b+o.s)}}function y(t,e,r){var i=e.traces,o=x(t),l="fraction"===r.norm?1:100,c=l/1e9,u=t.l2c(t.c2l(0)),f="stack"===r.mode?l:u;function h(e){return n(t.c2l(e))&&(e<u-c||e>f+c||!n(u))}for(var p=0;p<i.length;p++){for(var d=i[p],m=d[0].trace,g=[],v=!1,y=!1,b=0;b<d.length;b++){var _=d[b];if(_.s!==a){var w=Math.abs(l/e.get(_.p,_.s));_.b*=w,_.s*=w;var T=_.b,k=T+_.s;_[o]=k,g.push(k),y=y||h(k),_.hasB&&(g.push(T),y=y||h(T)),_.hasB&&_.b||(v=!0)}}m._extremes[t._id]=s.findExtremes(t,g,{tozero:v,padded:y})}}function x(t){return t._id.charAt(0)}e.exports={crossTraceCalc:function(t,e){for(var r=e.xaxis,n=e.yaxis,i=t._fullLayout,a=t._fullData,s=t.calcdata,l=[],c=[],f=0;f<a.length;f++){var h=a[f];if(!0===h.visible&&o.traceIs(h,"bar")&&h.xaxis===r._id&&h.yaxis===n._id&&("h"===h.orientation?l.push(s[f]):c.push(s[f]),h._computePh))for(var p=t.calcdata[f],d=0;d<p.length;d++)"function"==typeof p[d].ph0&&(p[d].ph0=p[d].ph0()),"function"==typeof p[d].ph1&&(p[d].ph1=p[d].ph1())}var m={xCat:"category"===r.type||"multicategory"===r.type,yCat:"category"===n.type||"multicategory"===n.type,mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};u(t,r,n,c,m),u(t,n,r,l,m)},setGroupPositions:u}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/axes":549,"../../plots/cartesian/constraints":557,"../../registry":633,"./sieve.js":656,"fast-isnumeric":185}],647:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../registry"),o=t("../scatter/xy_defaults"),s=t("../scatter/period_defaults"),l=t("./style_defaults"),c=t("../../plots/cartesian/constraints").getAxisGroup,u=t("./attributes"),f=n.coerceFont;function h(t,e,r,n){var i=e.orientation,a=e[{v:"x",h:"y"}[i]+"axis"],o=c(r,a)+i,s=r._alignmentOpts||{},l=n("alignmentgroup"),u=s[o];u||(u=s[o]={});var f=u[l];f?f.traces.push(e):f=u[l]={traces:[e],alignmentIndex:Object.keys(u).length,offsetGroups:{}};var h=n("offsetgroup"),p=f.offsetGroups,d=p[h];h&&(d||(d=p[h]={offsetIndex:Object.keys(p).length}),e._offsetIndex=d.offsetIndex)}function p(t,e,r,i,a,o){var s=!(!1===(o=o||{}).moduleHasSelected),l=!(!1===o.moduleHasUnselected),c=!(!1===o.moduleHasConstrain),u=!(!1===o.moduleHasCliponaxis),h=!(!1===o.moduleHasTextangle),p=!(!1===o.moduleHasInsideanchor),d=!!o.hasPathbar,m=Array.isArray(a)||"auto"===a,g=m||"inside"===a,v=m||"outside"===a;if(g||v){var y=f(i,"textfont",r.font),x=n.extendFlat({},y),b=!(t.textfont&&t.textfont.color);if(b&&delete x.color,f(i,"insidetextfont",x),d){var _=n.extendFlat({},y);b&&delete _.color,f(i,"pathbar.textfont",_)}v&&f(i,"outsidetextfont",y),s&&i("selected.textfont.color"),l&&i("unselected.textfont.color"),c&&i("constraintext"),u&&i("cliponaxis"),h&&i("textangle"),i("texttemplate")}g&&p&&i("insidetextanchor")}e.exports={supplyDefaults:function(t,e,r,c){function f(r,i){return n.coerce(t,e,u,r,i)}if(o(t,e,c,f)){s(t,e,c,f),f("xhoverformat"),f("yhoverformat"),f("orientation",e.x&&!e.y?"h":"v"),f("base"),f("offset"),f("width"),f("text"),f("hovertext"),f("hovertemplate");var h=f("textposition");p(t,e,c,f,h,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),l(t,e,f,r,c);var d=(e.marker.line||{}).color,m=a.getComponentMethod("errorbars","supplyDefaults");m(t,e,d||i.defaultLine,{axis:"y"}),m(t,e,d||i.defaultLine,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1},crossTraceDefaults:function(t,e){var r;function i(t){return n.coerce(r._input,r,u,t)}if("group"===e.barmode)for(var a=0;a<t.length;a++)"bar"===(r=t[a]).type&&(r._input,h(0,r,e,i))},handleGroupingDefaults:h,handleText:p}},{"../../components/color":361,"../../lib":498,"../../plots/cartesian/constraints":557,"../../registry":633,"../scatter/period_defaults":942,"../scatter/xy_defaults":949,"./attributes":643,"./style_defaults":658}],648:[function(t,e,r){"use strict";e.exports=function(t,e,r){return t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),"h"===r.orientation?(t.label=t.y,t.value=t.x):(t.label=t.x,t.value=t.y),t}},{}],649:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../../lib").isArrayOrTypedArray;r.coerceString=function(t,e,r){if("string"==typeof e){if(e||!t.noBlank)return e}else if(("number"==typeof e||!0===e)&&!t.strict)return String(e);return void 0!==r?r:t.dflt},r.coerceNumber=function(t,e,r){if(n(e)){e=+e;var i=t.min,a=t.max;if(!(void 0!==i&&e<i||void 0!==a&&e>a))return e}return void 0!==r?r:t.dflt},r.coerceColor=function(t,e,r){return i(e).isValid()?e:void 0!==r?r:t.dflt},r.coerceEnumerated=function(t,e,r){return t.coerceNumber&&(e=+e),-1!==t.values.indexOf(e)?e:void 0!==r?r:t.dflt},r.getValue=function(t,e){var r;return Array.isArray(t)?e<t.length&&(r=t[e]):r=t,r},r.getLineWidth=function(t,e){return 0<e.mlw?e.mlw:a(t.marker.line.width)?0:t.marker.line.width}},{"../../lib":498,"fast-isnumeric":185,tinycolor2:307}],650:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../registry"),a=t("../../components/color"),o=t("../../lib").fillText,s=t("./helpers").getLineWidth,l=t("../../plots/cartesian/axes").hoverLabelText,c=t("../../constants/numerical").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,m,g=t.cd,v=g[0].trace,y=g[0].t,x="closest"===i,b="waterfall"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;"h"===v.orientation?(s=r,u=e,f="y",h="x",p=z,d=I):(s=e,u=r,f="x",h="y",d=z,p=I);var T=v[f+"period"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+"End"]-t[f+"Start"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/m)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var e=t[h];if(b){var r=Math.abs(t.rawS)||0;u>0?e+=r:u<0&&(e-=r)}return e}function z(t){var e=u,r=t.b,i=O(t);return n.inbox(r-e,i-e,_+(i-e)/(i-r)-1)}var D=t[f+"a"],R=t[h+"a"];m=Math.abs(D.r2c(D.range[1])-D.r2c(D.range[0]));var F=n.getDistanceFunction(i,p,d,(function(t){return(p(t)+d(t))/2}));if(n.getClosest(g,F,t),!1!==t.index&&g[t.index].p!==c){k||(L=function(t){return Math.min(A(t),t.p-y.bargroupwidth/2)},C=function(t){return Math.max(M(t),t.p+y.bargroupwidth/2)});var B=g[t.index],N=v.base?B.b+B.s:B.s;t[h+"0"]=t[h+"1"]=R.c2p(B[h],!0),t[h+"LabelVal"]=N;var j=y.extents[y.extents.round(B.p)];t[f+"0"]=D.c2p(x?L(B):j[0],!0),t[f+"1"]=D.c2p(x?C(B):j[1],!0);var U=void 0!==B.orig_p;return t[f+"LabelVal"]=U?B.orig_p:B.p,t.labelLabel=l(D,t[f+"LabelVal"],v[f+"hoverformat"]),t.valueLabel=l(R,t[h+"LabelVal"],v[h+"hoverformat"]),t.baseLabel=l(R,B.b,v[h+"hoverformat"]),t.spikeDistance=(function(t){var e=u,r=t.b,i=O(t);return n.inbox(r-e,i-e,w+(i-e)/(i-r)-1)}(B)+function(t){return P(A(t),M(t),w)}(B))/2,t[f+"Spike"]=D.c2p(B.p,!0),o(B,v,t),t.hovertemplate=v.hovertemplate,t}}function f(t,e){var r=e.mcc||t.marker.color,n=e.mlcc||t.marker.line.color,i=s(t,e);return a.opacity(r)?r:a.opacity(n)&&i?n:void 0}e.exports={hoverPoints:function(t,e,r,n,a){var o=u(t,e,r,n,a);if(o){var s=o.cd,l=s[0].trace,c=s[o.index];return o.color=f(l,c),i.getComponentMethod("errorbars","hoverInfo")(c,l,o),[o]}},hoverOnBars:u,getTraceColor:f}},{"../../components/color":361,"../../components/fx":401,"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/axes":549,"../../registry":633,"./helpers":649}],651:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc").crossTraceCalc,colorbar:t("../scatter/marker_colorbar"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"bar",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","bar","oriented","errorBarsOK","showLegend","zoomScale"],animatable:!0,meta:{}}},{"../../plots/cartesian":563,"../scatter/marker_colorbar":940,"./arrays_to_calcdata":642,"./attributes":643,"./calc":644,"./cross_trace_calc":646,"./defaults":647,"./event_data":648,"./hover":650,"./layout_attributes":652,"./layout_defaults":653,"./plot":654,"./select":655,"./style":657}],652:[function(t,e,r){"use strict";e.exports={barmode:{valType:"enumerated",values:["stack","group","overlay","relative"],dflt:"group",editType:"calc"},barnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},bargap:{valType:"number",min:0,max:1,editType:"calc"},bargroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],653:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../plots/cartesian/axes"),a=t("../../lib"),o=t("./layout_attributes");e.exports=function(t,e,r){function s(r,n){return a.coerce(t,e,o,r,n)}for(var l=!1,c=!1,u=!1,f={},h=s("barmode"),p=0;p<r.length;p++){var d=r[p];if(n.traceIs(d,"bar")&&d.visible){if(l=!0,"group"===h){var m=d.xaxis+d.yaxis;f[m]&&(u=!0),f[m]=!0}if(d.visible&&"histogram"===d.type)"category"!==i.getFromId({_fullLayout:e},d["v"===d.orientation?"xaxis":"yaxis"]).type&&(c=!0)}}l?("overlay"!==h&&s("barnorm"),s("bargap",c&&!u?0:.2),s("bargroupgap")):delete e.barmode}},{"../../lib":498,"../../plots/cartesian/axes":549,"../../registry":633,"./layout_attributes":652}],654:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../lib/svg_text_utils"),s=t("../../components/color"),l=t("../../components/drawing"),c=t("../../registry"),u=t("../../plots/cartesian/axes").tickText,f=t("./uniform_text"),h=f.recordMinTextSize,p=f.clearMinTextSize,d=t("./style"),m=t("./helpers"),g=t("./constants"),v=t("./attributes"),y=v.text,x=v.textposition,b=t("../../components/fx/helpers").appendArrayPointValue,_=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t,e){return t<e?1:-1}function A(t,e,r,n){var i;return!e.uniformtext.mode&&M(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each("end",(function(){i&&i()})).each("interrupt",(function(){i&&i()}))):t}function M(t){return t&&t.duration>0}function S(t){return"auto"===t?0:t}function E(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function L(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor||"end",u="end"===c,f="start"===c,h=((a.leftToRight||0)+1)/2,p=1-h,d=i.width,m=i.height,g=Math.abs(e-t),v=Math.abs(n-r),y=g>2*_&&v>2*_?_:0;g-=2*y,v-=2*y;var x=S(l);"auto"!==l||d<=g&&m<=v||!(d>g||m>v)||(d>v||m>g)&&d<m==g<v||(x+=90);var b=E(i,x),w=1;s&&(w=Math.min(1,g/b.x,v/b.y));var T=i.left*p+i.right*h,A=(i.top+i.bottom)/2,M=(t+_)*p+(e-_)*h,L=(r+n)/2,C=0,P=0;if(f||u){var I=(o?b.x:b.y)/2,O=o?k(t,e):k(r,n);o?f?(M=t+O*y,C=-O*I):(M=e-O*y,C=O*I):f?(L=r+O*y,P=-O*I):(L=n-O*y,P=O*I)}return{textX:T,textY:A,targetX:M,targetY:L,anchorX:C,anchorY:P,scale:w,rotate:x}}e.exports={plot:function(t,e,r,f,g,v){var w=e.xaxis,C=e.yaxis,P=t._fullLayout;g||(g={mode:P.barmode,norm:P.barmode,gap:P.bargap,groupgap:P.bargroupgap},p("bar",P));var I=a.makeTraceGroups(f,r,"trace bars").each((function(r){var c=n.select(this),f=r[0].trace,p="waterfall"===f.type,I="funnel"===f.type,O="bar"===f.type||I,z=0;p&&f.connector.visible&&"between"===f.connector.mode&&(z=f.connector.line.width/2);var D="h"===f.orientation,R=M(g),F=a.ensureSingle(c,"g","points"),B=T(f),N=F.selectAll("g.point").data(a.identity,B);N.enter().append("g").classed("point",!0),N.exit().remove(),N.each((function(c,p){var T,M,I=n.select(this),F=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),n?[i,a]:[a,i]}(c,w,C,D),B=F[0][0],N=F[0][1],j=F[1][0],U=F[1][1],V=0==(D?N-B:U-j);if(V&&O&&m.getLineWidth(f,c)&&(V=!1),V||(V=!(i(B)&&i(N)&&i(j)&&i(U))),c.isBlank=V,V&&(D?N=B:U=j),z&&!V&&(D?(B-=k(B,N)*z,N+=k(B,N)*z):(j-=k(j,U)*z,U+=k(j,U)*z)),"waterfall"===f.type){if(!V){var H=f[c.dir].marker;T=H.line.width,M=H.color}}else T=m.getLineWidth(f,c),M=c.mc||f.marker.color;function q(t){var e=n.round(T/2%1,2);return 0===g.gap&&0===g.groupgap?n.round(Math.round(t)-e,2):t}if(!t._context.staticPlot){var G=s.opacity(M)<1||T>.01?q:function(t,e,r){return r&&t===e?t:Math.abs(t-e)>=2?q(t):t>e?Math.ceil(t):Math.floor(t)};B=G(B,N,D),N=G(N,B,D),j=G(j,U,!D),U=G(U,j,!D)}var Y=A(a.ensureSingle(I,"path"),P,g,v);if(Y.style("vector-effect","non-scaling-stroke").attr("d",isNaN((N-B)*(U-j))||V&&t._context.staticPlot?"M0,0Z":"M"+B+","+j+"V"+U+"H"+N+"V"+j+"Z").call(l.setClipUrl,e.layerClipId,t),!P.uniformtext.mode&&R){var W=l.makePointStyleFns(f);l.singlePointStyle(c,Y,f,W,t)}!function(t,e,r,n,i,s,c,f,p,g,v){var w,T=e.xaxis,M=e.yaxis,C=t._fullLayout;function P(e,r,n){return a.ensureSingle(e,"text").text(r).attr({class:"bartext bartext-"+w,"text-anchor":"middle","data-notex":1}).call(l.font,n).call(o.convertToTspans,t)}var I=n[0].trace,O="h"===I.orientation,z=function(t,e,r,n,i){var o,s=e[0].trace;o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,"texttemplate");if(!s)return"";var l,c,f,h,p="histogram"===o.type,d="waterfall"===o.type,m="funnel"===o.type,g="h"===o.orientation;g?(l="y",c=i,f="x",h=n):(l="x",c=n,f="y",h=i);function v(t){return u(h,h.c2l(t),!0).text}var y=e[r],x={};x.label=y.p,x.labelLabel=x[l+"Label"]=(_=y.p,u(c,c.c2l(_),!0).text);var _;var w=a.castOption(o,y.i,"text");(0===w||w)&&(x.text=w);x.value=y.s,x.valueLabel=x[f+"Label"]=v(y.s);var T={};b(T,o,y.i),(p||void 0===T.x)&&(T.x=g?x.value:x.label);(p||void 0===T.y)&&(T.y=g?x.label:x.value);(p||void 0===T.xLabel)&&(T.xLabel=g?x.valueLabel:x.labelLabel);(p||void 0===T.yLabel)&&(T.yLabel=g?x.labelLabel:x.valueLabel);d&&(x.delta=+y.rawS||y.s,x.deltaLabel=v(x.delta),x.final=y.v,x.finalLabel=v(x.final),x.initial=x.final-x.delta,x.initialLabel=v(x.initial));m&&(x.value=y.s,x.valueLabel=v(x.value),x.percentInitial=y.begR,x.percentInitialLabel=a.formatPercent(y.begR),x.percentPrevious=y.difR,x.percentPreviousLabel=a.formatPercent(y.difR),x.percentTotal=y.sumR,x.percenTotalLabel=a.formatPercent(y.sumR));var k=a.castOption(o,y.i,"customdata");k&&(x.customdata=k);return a.texttemplateString(s,x,t._d3locale,T,x,o._meta||{})}(t,e,r,n,i):s.textinfo?function(t,e,r,n){var i=t[0].trace,o="h"===i.orientation,s="waterfall"===i.type,l="funnel"===i.type;function c(t){return u(o?r:n,+t,!0).text}var f,h=i.textinfo,p=t[e],d=h.split("+"),m=[],g=function(t){return-1!==d.indexOf(t)};g("label")&&m.push((v=t[e].p,u(o?n:r,v,!0).text));var v;g("text")&&(0===(f=a.castOption(i,p.i,"text"))||f)&&m.push(f);if(s){var y=+p.rawS||p.s,x=p.v,b=x-y;g("initial")&&m.push(c(b)),g("delta")&&m.push(c(y)),g("final")&&m.push(c(x))}if(l){g("value")&&m.push(c(p.s));var _=0;g("percent initial")&&_++,g("percent previous")&&_++,g("percent total")&&_++;var w=_>1;g("percent initial")&&(f=a.formatPercent(p.begR),w&&(f+=" of initial"),m.push(f)),g("percent previous")&&(f=a.formatPercent(p.difR),w&&(f+=" of previous"),m.push(f)),g("percent total")&&(f=a.formatPercent(p.sumR),w&&(f+=" of total"),m.push(f))}return m.join("<br>")}(e,r,n,i):m.getValue(s.text,r);return m.coerceString(y,o)}(C,n,i,T,M);w=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(I,i);var D="stack"===g.mode||"relative"===g.mode,R=n[i],F=!D||R._outmost;if(!z||"none"===w||(R.isBlank||s===c||f===p)&&("auto"===w||"inside"===w))return void r.select("text").remove();var B=C.font,N=d.getBarColor(n[i],I),j=d.getInsideTextFont(I,i,B,N),U=d.getOutsideTextFont(I,i,B),V=r.datum();O?"log"===T.type&&V.s0<=0&&(s=T.range[0]<T.range[1]?0:T._length):"log"===M.type&&V.s0<=0&&(f=M.range[0]<M.range[1]?M._length:0);var H,q,G,Y,W,X=Math.abs(c-s)-2*_,Z=Math.abs(p-f)-2*_;"outside"===w&&(F||R.hasB||(w="inside"));if("auto"===w)if(F){w="inside",W=a.ensureUniformFontSize(t,j),H=P(r,z,W),q=l.bBox(H.node()),G=q.width,Y=q.height;var J=G<=X&&Y<=Z,K=G<=Z&&Y<=X,Q=O?X>=G*(Z/Y):Z>=Y*(X/G);G>0&&Y>0&&(J||K||Q)?w="inside":(w="outside",H.remove(),H=null)}else w="inside";if(!H){W=a.ensureUniformFontSize(t,"outside"===w?U:j);var $=(H=P(r,z,W)).attr("transform");if(H.attr("transform",""),q=l.bBox(H.node()),G=q.width,Y=q.height,H.attr("transform",$),G<=0||Y<=0)return void H.remove()}var tt,et,rt=I.textangle;"outside"===w?(et="both"===I.constraintext||"outside"===I.constraintext,tt=function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/u));var m=S(c),g=E(i,m),v=(s?g.x:g.y)/2,y=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,A=0,M=s?k(e,t):k(r,n);s?(b=e-M*o,T=M*v):(w=n+M*o,A=-M*v);return{textX:y,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:A,scale:d,rotate:m}}(s,c,f,p,q,{isHorizontal:O,constrained:et,angle:rt})):(et="both"===I.constraintext||"inside"===I.constraintext,tt=L(s,c,f,p,q,{isHorizontal:O,constrained:et,angle:rt,anchor:I.insidetextanchor}));tt.fontSize=W.size,h("histogram"===I.type?"bar":I.type,tt,C),R.transform=tt,A(H,C,g,v).attr("transform",a.getTextTransform(tt))}(t,e,I,r,p,B,N,j,U,g,v),e.layerClipId&&l.hideOutsideRangePoint(c,I.select("text"),w,C,f.xcalendar,f.ycalendar)}));var j=!1===f.cliponaxis;l.setClipUrl(c,j?null:e.layerClipId,t)}));c.getComponentMethod("errorbars","plot")(t,I,e,g)},toMoveInsideBar:L}},{"../../components/color":361,"../../components/drawing":383,"../../components/fx/helpers":397,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../registry":633,"./attributes":643,"./constants":645,"./helpers":649,"./style":657,"./uniform_text":659,"@plotly/d3":58,"fast-isnumeric":185}],655:[function(t,e,r){"use strict";function n(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}e.exports=function(t,e){var r,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l="funnel"===s.type,c="h"===s.orientation,u=[];if(!1===e)for(r=0;r<i.length;r++)i[r].selected=0;else for(r=0;r<i.length;r++){var f=i[r],h="ct"in f?f.ct:n(f,a,o,c,l);e.contains(h,!1,r,t)?(u.push({pointNumber:r,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return u}},{}],656:[function(t,e,r){"use strict";e.exports=a;var n=t("../../lib").distinctVals,i=t("../../constants/numerical").BADNUM;function a(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l];c.p!==i&&a.push(c.p)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var u=n(a);this.distinctPositions=u.vals,1===u.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(u.minDiff,r);var f=(e.posAxis||{}).type;"category"!==f&&"multicategory"!==f||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}a.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},a.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},a.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?"v":"^")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},{"../../constants/numerical":474,"../../lib":498}],657:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../lib"),s=t("../../registry"),l=t("./uniform_text").resizeText,c=t("./attributes"),u=c.textfont,f=c.insidetextfont,h=c.outsidetextfont,p=t("./helpers");function d(t,e,r){a.pointStyle(t.selectAll("path"),e,r),m(t,e,r)}function m(t,e,r){t.selectAll("text").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed("bartext-inside")){var o=_(e,r);a=y(r,e.i,i,o)}else t.classed("bartext-outside")&&(a=x(r,e.i,i));return a}function v(t,e,r){return b(u,t.textfont,e,r)}function y(t,e,r,n){var a=v(t,e,r);return(void 0===t._input.textfont||void 0===t._input.textfont.color||Array.isArray(t.textfont.color)&&void 0===t.textfont.color[e])&&(a={color:i.contrast(n),family:a.family,size:a.size}),b(f,t.insidetextfont,e,a)}function x(t,e,r){var n=v(t,e,r);return b(h,t.outsidetextfont,e,n)}function b(t,e,r,n){e=e||{};var i=p.getValue(e.family,r),a=p.getValue(e.size,r),o=p.getValue(e.color,r);return{family:p.coerceString(t.family,i,n.family),size:p.coerceNumber(t.size,a,n.size),color:p.coerceColor(t.color,o,n.color)}}function _(t,e){return"waterfall"===e.type?e[t.dir].marker.color:t.mcc||t.mc||e.marker.color}e.exports={style:function(t){var e=n.select(t).selectAll("g.barlayer").selectAll("g.trace");l(t,e,"bar");var r=e.size(),i=t._fullLayout;e.style("opacity",(function(t){return t[0].trace.opacity})).each((function(t){("stack"===i.barmode&&r>1||0===i.bargap&&0===i.bargroupgap&&!t[0].trace.marker.line.width)&&n.select(this).attr("shape-rendering","crispEdges")})),e.selectAll("g.points").each((function(e){d(n.select(this),e[0].trace,t)})),s.getComponentMethod("errorbars","style")(e)},styleTextPoints:m,styleOnSelect:function(t,e,r){var i=e[0].trace;i.selectedpoints?function(t,e,r){a.selectedPointStyle(t.selectAll("path"),e),function(t,e,r){t.each((function(t){var i,s=n.select(this);if(t.selected){i=o.ensureUniformFontSize(r,g(s,t,e,r));var l=e.selected.textfont&&e.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,e)}))}(t.selectAll("text"),e,r)}(r,i,t):(d(r,i,t),s.getComponentMethod("errorbars","style")(r))},getInsideTextFont:y,getOutsideTextFont:x,getBarColor:_,resizeText:l}},{"../../components/color":361,"../../components/drawing":383,"../../lib":498,"../../registry":633,"./attributes":643,"./helpers":649,"./uniform_text":659,"@plotly/d3":58}],658:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../lib").coercePattern;e.exports=function(t,e,r,s,l){var c=r("marker.color",s),u=i(t,"marker");u&&a(t,e,l,r,{prefix:"marker.",cLetter:"c"}),r("marker.line.color",n.defaultLine),i(t,"marker.line")&&a(t,e,l,r,{prefix:"marker.line.",cLetter:"c"}),r("marker.line.width"),r("marker.opacity"),o(r,"marker.pattern",c,u),r("selected.marker.color"),r("unselected.marker.color")}},{"../../components/color":361,"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498}],659:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib");function a(t){return"_"+t+"Text_minsize"}e.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a["_"+r+"Text_minsize"];if(o){var s,l="hide"===a.uniformtext.mode;switch(r){case"funnelarea":case"pie":case"sunburst":s="g.slice";break;case"treemap":case"icicle":s="g.slice, g.pathbar";break;default:s="g.points > g.point"}e.selectAll(s).each((function(t){var e=t.transform;e&&(e.scale=l&&e.hide?0:o/e.fontSize,n.select(this).select("text").attr("transform",i.getTextTransform(e)))}))}}}},{"../../lib":498,"@plotly/d3":58}],660:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../lib/extend").extendFlat,a=t("../scatterpolar/attributes"),o=t("../bar/attributes");e.exports={r:a.r,theta:a.theta,r0:a.r0,dr:a.dr,theta0:a.theta0,dtheta:a.dtheta,thetaunit:a.thetaunit,base:i({},o.base,{}),offset:i({},o.offset,{}),width:i({},o.width,{}),text:i({},o.text,{}),hovertext:i({},o.hovertext,{}),marker:o.marker,hoverinfo:a.hoverinfo,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{"../../lib/extend":488,"../../plots/template_attributes":628,"../bar/attributes":643,"../scatterpolar/attributes":997}],661:[function(t,e,r){"use strict";var n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("../bar/arrays_to_calcdata"),o=t("../bar/cross_trace_calc").setGroupPositions,s=t("../scatter/calc_selection"),l=t("../../registry").traceIs,c=t("../../lib").extendFlat;e.exports={calc:function(t,e){for(var r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,c=r[o].angularaxis,u=l.makeCalcdata(e,"r"),f=c.makeCalcdata(e,"theta"),h=e._length,p=new Array(h),d=u,m=f,g=0;g<h;g++)p[g]={p:m[g],s:d[g]};function v(t){var r=e[t];void 0!==r&&(e["_"+t]=Array.isArray(r)?c.makeCalcdata(e,t):c.d2c(r,e.thetaunit))}return"linear"===c.type&&(v("width"),v("offset")),n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],u=s[0].trace;!0===u.visible&&l(u,"bar")&&u.subplot===r&&i.push(s)}var f=c({},e.radialaxis,{_id:"x"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"../../lib":498,"../../registry":633,"../bar/arrays_to_calcdata":642,"../bar/cross_trace_calc":646,"../scatter/calc_selection":924}],662:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatterpolar/defaults").handleRThetaDefaults,a=t("../bar/style_defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l("thetaunit"),l("base"),l("offset"),l("width"),l("text"),l("hovertext"),l("hovertemplate"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},{"../../lib":498,"../bar/style_defaults":658,"../scatterpolar/defaults":999,"./attributes":660}],663:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../bar/hover").getTraceColor,o=i.fillText,s=t("../scatterpolar/hover").makeHoverPointText,l=t("../../plots/polar/helpers").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,m=d?l:i.isPtInsideSector,g=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);h.range[0]>h.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return m(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign="left"),[t]}}},{"../../components/fx":401,"../../lib":498,"../../plots/polar/helpers":616,"../bar/hover":650,"../scatterpolar/hover":1001}],664:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"barpolar",basePlotModule:t("../../plots/polar"),categories:["polar","bar","showLegend"],attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("../scatterpolar/format_labels"),style:t("../bar/style").style,styleOnSelect:t("../bar/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../bar/select"),meta:{}}},{"../../plots/polar":617,"../bar/select":655,"../bar/style":657,"../scatter/marker_colorbar":940,"../scatterpolar/format_labels":1e3,"./attributes":660,"./calc":661,"./defaults":662,"./hover":663,"./layout_attributes":665,"./layout_defaults":666,"./plot":667}],665:[function(t,e,r){"use strict";e.exports={barmode:{valType:"enumerated",values:["stack","overlay"],dflt:"stack",editType:"calc"},bargap:{valType:"number",dflt:.1,min:0,max:1,editType:"calc"}}},{}],666:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var l=0;l<r.length;l++){var c=r[l];"barpolar"===c.type&&!0===c.visible&&(o[a=c.subplot]||(s("barmode"),s("bargap"),o[a]=1))}}},{"../../lib":498,"./layout_attributes":665}],667:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../components/drawing"),s=t("../../plots/polar/helpers");e.exports=function(t,e,r){var l=e.xaxis,c=e.yaxis,u=e.radialAxis,f=e.angularAxis,h=function(t){var e=t.cxx,r=t.cyy;if(t.vangles)return function(n,i,o,l){var c,u;a.angleDelta(o,l)>0?(c=o,u=l):(c=l,u=o);var f=[s.findEnclosingVertexAngles(c,t.vangles)[0],(c+u)/2,s.findEnclosingVertexAngles(u,t.vangles)[1]];return s.pathPolygonAnnulus(n,i,c,u,f,e,r)};return function(t,n,i,o){return a.pathAnnulus(t,n,i,o,e,r)}}(e),p=e.layers.frontplot.select("g.barlayer");a.makeTraceGroups(p,r,"trace bars").each((function(){var r=n.select(this),s=a.ensureSingle(r,"g","points").selectAll("g.point").data(a.identity);s.enter().append("g").style("vector-effect","non-scaling-stroke").style("stroke-miterlimit",2).classed("point",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=u.c2p(t.s0),s=t.rp1=u.c2p(t.s1),p=t.thetag0=f.c2g(t.p0),d=t.thetag1=f.c2g(t.p1);if(i(o)&&i(s)&&i(p)&&i(d)&&o!==s&&p!==d){var m=u.c2g(t.s1),g=(p+d)/2;t.ct=[l.c2p(m*Math.cos(g)),c.c2p(m*Math.sin(g))],e=h(o,s,p,d)}else e="M0,0Z";a.ensureSingle(r,"path").attr("d",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},{"../../components/drawing":383,"../../lib":498,"../../plots/polar/helpers":616,"@plotly/d3":58,"fast-isnumeric":185}],668:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../bar/attributes"),a=t("../../components/color/attributes"),o=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../lib/extend").extendFlat,c=n.marker,u=c.line;e.exports={y:{valType:"data_array",editType:"calc+clearAxisTypes"},x:{valType:"data_array",editType:"calc+clearAxisTypes"},x0:{valType:"any",editType:"calc+clearAxisTypes"},y0:{valType:"any",editType:"calc+clearAxisTypes"},dx:{valType:"number",editType:"calc"},dy:{valType:"number",editType:"calc"},xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:o("x"),yhoverformat:o("y"),name:{valType:"string",editType:"calc+clearAxisTypes"},q1:{valType:"data_array",editType:"calc+clearAxisTypes"},median:{valType:"data_array",editType:"calc+clearAxisTypes"},q3:{valType:"data_array",editType:"calc+clearAxisTypes"},lowerfence:{valType:"data_array",editType:"calc"},upperfence:{valType:"data_array",editType:"calc"},notched:{valType:"boolean",editType:"calc"},notchwidth:{valType:"number",min:0,max:.5,dflt:.25,editType:"calc"},notchspan:{valType:"data_array",editType:"calc"},boxpoints:{valType:"enumerated",values:["all","outliers","suspectedoutliers",!1],editType:"calc"},jitter:{valType:"number",min:0,max:1,editType:"calc"},pointpos:{valType:"number",min:-2,max:2,editType:"calc"},boxmean:{valType:"enumerated",values:[!0,"sd",!1],editType:"calc"},mean:{valType:"data_array",editType:"calc"},sd:{valType:"data_array",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc+clearAxisTypes"},quartilemethod:{valType:"enumerated",values:["linear","exclusive","inclusive"],dflt:"linear",editType:"calc"},width:{valType:"number",min:0,dflt:0,editType:"calc"},marker:{outliercolor:{valType:"color",dflt:"rgba(0, 0, 0, 0)",editType:"style"},symbol:l({},c.symbol,{arrayOk:!1,editType:"plot"}),opacity:l({},c.opacity,{arrayOk:!1,dflt:1,editType:"style"}),size:l({},c.size,{arrayOk:!1,editType:"calc"}),color:l({},c.color,{arrayOk:!1,editType:"style"}),line:{color:l({},u.color,{arrayOk:!1,dflt:a.defaultLine,editType:"style"}),width:l({},u.width,{arrayOk:!1,dflt:0,editType:"style"}),outliercolor:{valType:"color",editType:"style"},outlierwidth:{valType:"number",min:0,dflt:1,editType:"style"},editType:"style"},editType:"plot"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,whiskerwidth:{valType:"number",min:0,max:1,dflt:.5,editType:"calc"},offsetgroup:i.offsetgroup,alignmentgroup:i.alignmentgroup,selected:{marker:n.selected.marker,editType:"style"},unselected:{marker:n.unselected.marker,editType:"style"},text:l({},n.text,{}),hovertext:l({},n.hovertext,{}),hovertemplate:s({}),hoveron:{valType:"flaglist",flags:["boxes","points"],dflt:"boxes+points",editType:"style"}}},{"../../components/color/attributes":360,"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../bar/attributes":643,"../scatter/attributes":922}],669:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../plots/cartesian/axes"),a=t("../../plots/cartesian/align_period"),o=t("../../lib"),s=t("../../constants/numerical").BADNUM,l=o._;e.exports=function(t,e){var r,c,y,x,b,_,w,T=t._fullLayout,k=i.getFromId(t,e.xaxis||"x"),A=i.getFromId(t,e.yaxis||"y"),M=[],S="violin"===e.type?"_numViolins":"_numBoxes";"h"===e.orientation?(y=k,x="x",b=A,_="y",w=!!e.yperiodalignment):(y=A,x="y",b=k,_="x",w=!!e.xperiodalignment);var E,L,C,P,I,O,z=function(t,e,r,i){var s,l=e+"0"in t,c="d"+e in t;if(e in t||l&&c){var u=r.makeCalcdata(t,e);return[a(t,r,e,u).vals,u]}s=l?t[e+"0"]:"name"in t&&("category"===r.type||n(t.name)&&-1!==["linear","log"].indexOf(r.type)||o.isDateTime(t.name)&&"date"===r.type)?t.name:i;for(var f="multicategory"===r.type?r.r2c_just_indices(s):r.d2c(s,0,t[e+"calendar"]),h=t._length,p=new Array(h),d=0;d<h;d++)p[d]=f;return[p]}(e,_,b,T[S]),D=z[0],R=z[1],F=o.distinctVals(D,b),B=F.vals,N=F.minDiff/2,j="all"===(e.boxpoints||e.points)?o.identity:function(t){return t.v<E.lf||t.v>E.uf};if(e._hasPreCompStats){var U=e[x],V=function(t){return y.d2c((e[t]||[])[r])},H=1/0,q=-1/0;for(r=0;r<e._length;r++){var G=D[r];if(n(G)){if((E={}).pos=E[_]=G,w&&R&&(E.orig_p=R[r]),E.q1=V("q1"),E.med=V("median"),E.q3=V("q3"),L=[],U&&o.isArrayOrTypedArray(U[r]))for(c=0;c<U[r].length;c++)(O=y.d2c(U[r][c]))!==s&&(u(I={v:O,i:[r,c]},e,[r,c]),L.push(I));if(E.pts=L.sort(f),P=(C=E[x]=L.map(h)).length,E.med!==s&&E.q1!==s&&E.q3!==s&&E.med>=E.q1&&E.q3>=E.med){var Y=V("lowerfence");E.lf=Y!==s&&Y<=E.q1?Y:p(E,C,P);var W=V("upperfence");E.uf=W!==s&&W>=E.q3?W:d(E,C,P);var X=V("mean");E.mean=X!==s?X:P?o.mean(C,P):(E.q1+E.q3)/2;var Z=V("sd");E.sd=X!==s&&Z>=0?Z:P?o.stdev(C,P,E.mean):E.q3-E.q1,E.lo=m(E),E.uo=g(E);var J=V("notchspan");J=J!==s&&J>0?J:v(E,P),E.ln=E.med-J,E.un=E.med+J;var K=E.lf,Q=E.uf;e.boxpoints&&C.length&&(K=Math.min(K,C[0]),Q=Math.max(Q,C[P-1])),e.notched&&(K=Math.min(K,E.ln),Q=Math.max(Q,E.un)),E.min=K,E.max=Q}else{var $;o.warn(["Invalid input - make sure that q1 <= median <= q3","q1 = "+E.q1,"median = "+E.med,"q3 = "+E.q3].join("\n")),$=E.med!==s?E.med:E.q1!==s?E.q3!==s?(E.q1+E.q3)/2:E.q1:E.q3!==s?E.q3:0,E.med=$,E.q1=E.q3=$,E.lf=E.uf=$,E.mean=E.sd=$,E.ln=E.un=$,E.min=E.max=$}H=Math.min(H,E.min),q=Math.max(q,E.max),E.pts2=L.filter(j),M.push(E)}}e._extremes[y._id]=i.findExtremes(y,[H,q],{padded:!0})}else{var tt=y.makeCalcdata(e,x),et=function(t,e){for(var r=t.length,n=new Array(r+1),i=0;i<r;i++)n[i]=t[i]-e;return n[r]=t[r-1]+e,n}(B,N),rt=B.length,nt=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=[];return e}(rt);for(r=0;r<e._length;r++)if(O=tt[r],n(O)){var it=o.findBin(D[r],et);it>=0&&it<rt&&(u(I={v:O,i:r},e,r),nt[it].push(I))}var at=1/0,ot=-1/0,st=e.quartilemethod,lt="exclusive"===st,ct="inclusive"===st;for(r=0;r<rt;r++)if(nt[r].length>0){var ut,ft;if((E={}).pos=E[_]=B[r],L=E.pts=nt[r].sort(f),P=(C=E[x]=L.map(h)).length,E.min=C[0],E.max=C[P-1],E.mean=o.mean(C,P),E.sd=o.stdev(C,P,E.mean),E.med=o.interp(C,.5),P%2&&(lt||ct))lt?(ut=C.slice(0,P/2),ft=C.slice(P/2+1)):ct&&(ut=C.slice(0,P/2+1),ft=C.slice(P/2)),E.q1=o.interp(ut,.5),E.q3=o.interp(ft,.5);else E.q1=o.interp(C,.25),E.q3=o.interp(C,.75);E.lf=p(E,C,P),E.uf=d(E,C,P),E.lo=m(E),E.uo=g(E);var ht=v(E,P);E.ln=E.med-ht,E.un=E.med+ht,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=L.filter(j),M.push(E)}e._extremes[y._id]=i.findExtremes(y,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i)}}(M,e),M.length>0?(M[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,"median:"),min:l(t,"min:"),q1:l(t,"q1:"),q3:l(t,"q3:"),max:l(t,"max:"),mean:"sd"===e.boxmean?l(t,"mean \xb1 \u03c3:"):l(t,"mean:"),lf:l(t,"lower fence:"),uf:l(t,"upper fence:")}},T[S]++,M):[{t:{empty:!0}}]};var c={text:"tx",hovertext:"htx"};function u(t,e,r){for(var n in c)o.isArrayOrTypedArray(e[n])&&(Array.isArray(r)?o.isArrayOrTypedArray(e[n][r[0]])&&(t[c[n]]=e[n][r[0]][r[1]]):t[c[n]]=e[n][r])}function f(t,e){return t.v-e.v}function h(t){return t.v}function p(t,e,r){return 0===r?t.q1:Math.min(t.q1,e[Math.min(o.findBin(2.5*t.q1-1.5*t.q3,e,!0)+1,r-1)])}function d(t,e,r){return 0===r?t.q3:Math.max(t.q3,e[Math.max(o.findBin(2.5*t.q3-1.5*t.q1,e),0)])}function m(t){return 4*t.q1-3*t.q3}function g(t){return 4*t.q3-3*t.q1}function v(t,e){return 0===e?0:1.57*(t.q3-t.q1)/Math.sqrt(e)}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"fast-isnumeric":185}],670:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../plots/cartesian/constraints").getAxisGroup,o=["v","h"];function s(t,e,r,o){var s,l,c,u=e.calcdata,f=e._fullLayout,h=o._id,p=h.charAt(0),d=[],m=0;for(s=0;s<r.length;s++)for(c=u[r[s]],l=0;l<c.length;l++)d.push(o.c2l(c[l].pos,!0)),m+=(c[l].pts2||[]).length;if(d.length){var g=i.distinctVals(d);"category"!==o.type&&"multicategory"!==o.type||(g.minDiff=1);var v=g.minDiff/2;n.minDtick(o,g.minDiff,g.vals[0],!0);var y=f["violin"===t?"_numViolins":"_numBoxes"],x="group"===f[t+"mode"]&&y>1,b=1-f[t+"gap"],_=1-f[t+"groupgap"];for(s=0;s<r.length;s++){var w,T,k,A,M,S,E=(c=u[r[s]])[0].trace,L=c[0].t,C=E.width,P=E.side;if(C)w=T=A=C/2,k=0;else if(w=v,x){var I=a(f,o._id)+E.orientation,O=(f._alignmentOpts[I]||{})[E.alignmentgroup]||{},z=Object.keys(O.offsetGroups||{}).length,D=z||y;T=w*b*_/D,k=2*w*(((z?E._offsetIndex:L.num)+.5)/D-.5)*b,A=w*b/D}else T=w*b*_,k=0,A=w;L.dPos=w,L.bPos=k,L.bdPos=T,L.wHover=A;var R,F,B,N,j,U,V=k+T,H=Boolean(C);if("positive"===P?(M=w*(C?1:.5),R=V,S=R=k):"negative"===P?(M=R=k,S=w*(C?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&m>0){var q=E.pointpos,G=E.jitter,Y=E.marker.size/2,W=0;q+G>=0&&((W=V*(q+G))>M?(H=!0,j=Y,B=W):W>R&&(j=Y,B=M)),W<=M&&(B=M);var X=0;q-G<=0&&((X=-V*(q-G))>S?(H=!0,U=Y,N=X):X>F&&(U=Y,N=S)),X<=S&&(N=S)}else B=M,N=S;var Z=new Array(c.length);for(l=0;l<c.length;l++)Z[l]=c[l].pos;E._extremes[h]=n.findExtremes(o,Z,{padded:H,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}e.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],c="h"===l?i:n,u=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||"box"!==d.type&&"candlestick"!==d.type||p.empty||(d.orientation||"v")!==l||d.xaxis!==n._id||d.yaxis!==i._id||u.push(f)}s("box",t,u,c)}},setPositionOffset:s}},{"../../lib":498,"../../plots/cartesian/axes":549,"../../plots/cartesian/constraints":557}],671:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("../../components/color"),o=t("../scatter/period_defaults"),s=t("../bar/defaults").handleGroupingDefaults,l=t("../../plots/cartesian/axis_autotype"),c=t("./attributes");function u(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],c[e])}var u,f=r("y"),h=r("x");if("box"===e.type){var p=r("q1"),d=r("median"),m=r("q3");e._hasPreCompStats=p&&p.length&&d&&d.length&&m&&m.length,u=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(m))}var g,v,y=o(f),x=o(h),b=y&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(y)){case"00":var k=s("x0")||s("dx");g=(s("y0")||s("dy"))&&!k?"h":"v",v=u;break;case"10":g="v",v=Math.min(u,_);break;case"20":g="h",v=Math.min(u,h.length);break;case"01":g="h",v=Math.min(u,b);break;case"02":g="v",v=Math.min(u,f.length);break;case"12":g="v",v=Math.min(u,_,f.length);break;case"21":g="h",v=Math.min(u,h.length,b);break;case"11":v=0;break;case"22":var A,M=!1;for(A=0;A<h.length;A++)if("category"===l(h[A],w,T)){M=!0;break}if(M)g="v",v=Math.min(u,_,f.length);else{for(A=0;A<f.length;A++)if("category"===l(f[A],w,T)){M=!0;break}M?(g="h",v=Math.min(u,h.length,b)):(g="v",v=Math.min(u,_,f.length))}}else y>0?(g="v",v=x>0?Math.min(_,b):Math.min(b)):x>0?(g="h",v=Math.min(_)):v=0;if(v){e._length=v;var S=r("orientation",g);e._hasPreCompStats?"v"===S&&0===x?(r("x0",0),r("dx",1)):"h"===S&&0===y&&(r("y0",0),r("dy",1)):"v"===S&&0===x?r("x0"):"h"===S&&0===y&&r("y0"),i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],a)}else e.visible=!1}function f(t,e,r,i){var a=i.prefix,o=n.coerce2(t,e,c,"marker.outliercolor"),s=r("marker.line.outliercolor"),l="outliers";e._hasPreCompStats?l="all":(o||s)&&(l="suspectedoutliers");var u=r(a+"points",l);u?(r("jitter","all"===u?.3:0),r("pointpos","all"===u?-1.5:0),r("marker.symbol"),r("marker.opacity"),r("marker.size"),r("marker.color",e.line.color),r("marker.line.color"),r("marker.line.width"),"suspectedoutliers"===u&&(r("marker.line.outliercolor",e.marker.color),r("marker.line.outlierwidth")),r("selected.marker.color"),r("unselected.marker.color"),r("selected.marker.size"),r("unselected.marker.size"),r("text"),r("hovertext")):delete e.marker;var f=r("hoveron");"all"!==f&&-1===f.indexOf("points")||r("hovertemplate"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,c,r,i)}if(u(t,e,s,i),!1!==e.visible){o(t,e,i,s),s("xhoverformat"),s("yhoverformat");var l=e._hasPreCompStats;l&&(s("lowerfence"),s("upperfence")),s("line.color",(t.marker||{}).color||r),s("line.width"),s("fillcolor",a.addOpacity(e.line.color,.5));var h=!1;if(l){var p=s("mean"),d=s("sd");p&&p.length&&(h=!0,d&&d.length&&(h="sd"))}s("boxmean",h),s("whiskerwidth"),s("width"),s("quartilemethod");var m=!1;if(l){var g=s("notchspan");g&&g.length&&(m=!0)}else n.validate(t.notchwidth,c.notchwidth)&&(m=!0);s("notched",m)&&s("notchwidth"),f(t,e,s,{prefix:"box"})}},crossTraceDefaults:function(t,e){var r,i;function a(t){return n.coerce(i._input,i,c,t)}for(var o=0;o<t.length;o++){var l=(i=t[o]).type;"box"!==l&&"violin"!==l||(r=i._input,"group"===e[l+"mode"]&&s(r,i,e,a))}},handleSampleDefaults:u,handlePointsDefaults:f}},{"../../components/color":361,"../../lib":498,"../../plots/cartesian/axis_autotype":550,"../../registry":633,"../bar/defaults":647,"../scatter/period_defaults":942,"./attributes":668}],672:[function(t,e,r){"use strict";e.exports=function(t,e){return e.hoverOnBox&&(t.hoverOnBox=e.hoverOnBox),"xVal"in e&&(t.x=e.xVal),"yVal"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],673:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../components/fx"),o=t("../../components/color"),s=i.fillText;function l(t,e,r,s){var l,c,u,f,h,p,d,m,g,v,y,x,b,_,w=t.cd,T=t.xa,k=t.ya,A=w[0].trace,M=w[0].t,S="violin"===A.type,E=[],L=M.bdPos,C=M.wHover,P=function(t){return u.c2l(t.pos)+M.bPos-u.c2l(p)};S&&"both"!==A.side?("positive"===A.side&&(g=function(t){var e=P(t);return a.inbox(e,e+C,v)},x=L,b=0),"negative"===A.side&&(g=function(t){var e=P(t);return a.inbox(e-C,e,v)},x=0,b=L)):(g=function(t){var e=P(t);return a.inbox(e-C,e+C,v)},x=b=L),_=S?function(t){return a.inbox(t.span[0]-h,t.span[1]-h,v)}:function(t){return a.inbox(t.min-h,t.max-h,v)},"h"===A.orientation?(h=e,p=r,d=_,m=g,l="y",u=k,c="x",f=T):(h=r,p=e,d=g,m=_,l="x",u=T,c="y",f=k);var I=Math.min(1,L/Math.abs(u.r2c(u.range[1])-u.r2c(u.range[0])));function O(t){return(d(t)+m(t))/2}v=t.maxHoverDistance-I,y=t.maxSpikeDistance-I;var z=a.getDistanceFunction(s,d,m,O);if(a.getClosest(w,z,t),!1===t.index)return[];var D=w[t.index],R=A.line.color,F=(A.marker||{}).color;o.opacity(R)&&A.line.width?t.color=R:o.opacity(F)&&A.boxpoints?t.color=F:t.color=A.fillcolor,t[l+"0"]=u.c2p(D.pos+M.bPos-b,!0),t[l+"1"]=u.c2p(D.pos+M.bPos+x,!0),t[l+"LabelVal"]=void 0!==D.orig_p?D.orig_p:D.pos;var B=l+"Spike";t.spikeDistance=O(D)*y/v,t[B]=u.c2p(D.pos,!0);var N={},j=["med","q1","q3","min","max"];(A.boxmean||(A.meanline||{}).visible)&&j.push("mean"),(A.boxpoints||A.points)&&j.push("lf","uf");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var H=D[V],q=f.c2p(H,!0),G=i.extendFlat({},t);G.attr=V,G[c+"0"]=G[c+"1"]=q,G[c+"LabelVal"]=H,G[c+"Label"]=(M.labels?M.labels[V]+" ":"")+n.hoverLabelText(f,H,A[c+"hoverformat"]),G.hoverOnBox=!0,"mean"===V&&"sd"in D&&"sd"===A.boxmean&&(G[c+"err"]=D.sd),t.name="",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,f=t.ya,h=c[0].trace,p=u.c2p(e),d=f.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(f.c2p(t.y)-d)-e,1-3/e)})),g=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var x=m(l=o.pts[y]);x<=t.distance&&(t.distance=x,g=[v,y])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var b=u.c2p(l.x,!0),_=f.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(h.marker||{}).color,name:h.name,x0:b-w,x1:b+w,y0:_-w,y1:_+w,spikeDistance:t.distance,hovertemplate:h.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return"h"===h.orientation?(T=f,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+"Spike"]=T.c2p(o.pos,!0),s(l,h,n),n}e.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf("boxes")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf("points")&&(i=c(t,e,r)),"closest"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},{"../../components/color":361,"../../components/fx":401,"../../lib":498,"../../plots/cartesian/axes":549}],674:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults").supplyLayoutDefaults,calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"box",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","oriented","box-violin","showLegend","boxLayout","zoomScale"],meta:{}}},{"../../plots/cartesian":563,"./attributes":668,"./calc":669,"./cross_trace_calc":670,"./defaults":671,"./event_data":672,"./hover":673,"./layout_attributes":675,"./layout_defaults":676,"./plot":677,"./select":678,"./style":679}],675:[function(t,e,r){"use strict";e.exports={boxmode:{valType:"enumerated",values:["group","overlay"],dflt:"overlay",editType:"calc"},boxgap:{valType:"number",min:0,max:1,dflt:.3,editType:"calc"},boxgroupgap:{valType:"number",min:0,max:1,dflt:.3,editType:"calc"}}},{}],676:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./layout_attributes");function o(t,e,r,i,a){for(var o=a+"Layout",s=!1,l=0;l<r.length;l++){var c=r[l];if(n.traceIs(c,o)){s=!0;break}}s&&(i(a+"mode"),i(a+"gap"),i(a+"groupgap"))}e.exports={supplyLayoutDefaults:function(t,e,r){o(0,0,r,(function(r,n){return i.coerce(t,e,a,r,n)}),"box")},_supply:o}},{"../../lib":498,"../../registry":633,"./layout_attributes":675}],677:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing");function o(t,e,r,a){var o,s,l="h"===r.orientation,c=e.val,u=e.pos,f=!!u.rangebreaks,h=a.bPos,p=a.wdPos||0,d=a.bPosPxOffset||0,m=r.whiskerwidth||0,g=r.notched||!1,v=g?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var y=t.selectAll("path.box").data("violin"!==r.type||r.box.visible?i.identity:[]);y.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","box"),y.exit().remove(),y.each((function(t){if(t.empty)return"M0,0Z";var e=u.c2l(t.pos+h,!0),a=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=f?(a+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=f?a*b+(1-b)*x:u.l2p(e-p)+d,w=f?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,A=c.c2p(t.q1,!0),M=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 0===t.lf||!1===r.boxpoints,L=c.c2p(E?t.min:t.lf,!0),C=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr("d","M"+S+","+T+"V"+k+"M"+A+","+a+"V"+y+(g?"H"+P+"L"+S+","+k+"L"+I+","+y:"")+"H"+M+"V"+a+(g?"H"+I+"L"+S+","+T+"L"+P+","+a:"")+"ZM"+A+","+x+"H"+L+"M"+M+","+x+"H"+C+(0===m?"":"M"+L+","+_+"V"+w+"M"+C+","+_+"V"+w)):n.select(this).attr("d","M"+T+","+S+"H"+k+"M"+a+","+A+"H"+y+(g?"V"+P+"L"+k+","+S+"L"+y+","+I:"")+"V"+M+"H"+a+(g?"V"+I+"L"+T+","+S+"L"+a+","+P:"")+"ZM"+x+","+A+"V"+L+"M"+x+","+M+"V"+C+(0===m?"":"M"+_+","+L+"H"+w+"M"+_+","+C+"H"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll("g.points").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append("g").attr("class","points"),f.exit().remove();var h=f.selectAll("path").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),m=a[d].v,g=Math.min(a.length-1,e+5),v=a[g].v;"all"!==u&&(a[e].v<t.lf?v=Math.min(v,t.lf):m=Math.max(m,t.uf));var y=Math.sqrt(f*(g-d)/(v-m+s))||0;y=i.constrain(Math.abs(y),0,1),h.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);"h"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),"suspectedoutliers"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append("path").classed("point",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll("path.mean").data("box"===r.type&&r.boxmean||"violin"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append("path").attr("class","mean").style({fill:"none","vector-effect":"non-scaling-stroke"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+f,!0),i=c.l2p(e-o)+h,a=c.l2p(e+s)+h,d=u?(i+a)/2:c.l2p(e)+h,m=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);"h"===r.orientation?n.select(this).attr("d","M"+m+","+i+"V"+a+("sd"===p?"m0,0L"+g+","+d+"L"+m+","+i+"L"+v+","+d+"Z":"")):n.select(this).attr("d","M"+i+","+m+"H"+a+("sd"===p?"m0,0L"+d+","+g+"L"+i+","+m+"L"+d+","+v+"Z":""))}))}e.exports={plot:function(t,e,r,a){var c=e.xaxis,u=e.yaxis;i.makeTraceGroups(a,r,"trace boxes").each((function(t){var e,r,i=n.select(this),a=t[0],f=a.t,h=a.trace;(f.wdPos=f.bdPos*h.whiskerwidth,!0!==h.visible||f.empty)?i.remove():("h"===h.orientation?(e=u,r=c):(e=c,r=u),o(i,{pos:e,val:r},h,f),s(i,{x:c,y:u},h,f),l(i,{pos:e,val:r},h,f))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},{"../../components/drawing":383,"../../lib":498,"@plotly/d3":58}],678:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],c=a.c2p(l.x),u=o.c2p(l.y);e.contains([c,u],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},{}],679:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../components/drawing");e.exports={style:function(t,e,r){var o=r||n.select(t).selectAll("g.trace.boxes");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(e){var r=n.select(this),o=e[0].trace,s=o.line.width;function l(t,e,r,n){t.style("stroke-width",e+"px").call(i.stroke,r).call(i.fill,n)}var c=r.selectAll("path.box");if("candlestick"===o.type)c.each((function(t){if(!t.empty){var e=n.select(this),r=o[t.dir];l(e,r.line.width,r.line.color,r.fillcolor),e.style("opacity",o.selectedpoints&&!t.selected?.3:1)}}));else{l(c,s,o.line.color,o.fillcolor),r.selectAll("path.mean").style({"stroke-width":s,"stroke-dasharray":2*s+"px,"+s+"px"}).call(i.stroke,o.line.color);var u=r.selectAll("path.point");a.pointStyle(u,o,t)}}))},styleOnSelect:function(t,e,r){var n=e[0].trace,i=r.selectAll("path.point");n.selectedpoints?a.selectedPointStyle(i,n):a.pointStyle(i,n,t)}}},{"../../components/color":361,"../../components/drawing":383,"@plotly/d3":58}],680:[function(t,e,r){"use strict";var n=t("../../lib").extendFlat,i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../ohlc/attributes"),o=t("../box/attributes");function s(t){return{line:{color:n({},o.line.color,{dflt:t}),width:o.line.width,editType:"style"},fillcolor:o.fillcolor,editType:"style"}}e.exports={xperiod:a.xperiod,xperiod0:a.xperiod0,xperiodalignment:a.xperiodalignment,xhoverformat:i("x"),yhoverformat:i("y"),x:a.x,open:a.open,high:a.high,low:a.low,close:a.close,line:{width:n({},o.line.width,{}),editType:"style"},increasing:s(a.increasing.line.color.dflt),decreasing:s(a.decreasing.line.color.dflt),text:a.text,hovertext:a.hovertext,whiskerwidth:n({},o.whiskerwidth,{dflt:0}),hoverlabel:a.hoverlabel}},{"../../lib":498,"../../plots/cartesian/axis_format_attributes":552,"../box/attributes":668,"../ohlc/attributes":867}],681:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/cartesian/align_period"),o=t("../ohlc/calc").calcCommon;function s(t,e,r,n){return{min:r,q1:Math.min(t,n),med:n,q3:Math.max(t,n),max:e}}e.exports=function(t,e){var r=t._fullLayout,l=i.getFromId(t,e.xaxis),c=i.getFromId(t,e.yaxis),u=l.makeCalcdata(e,"x"),f=a(e,l,"x",u).vals,h=o(t,e,u,f,c,s);return h.length?(n.extendFlat(h[0].t,{num:r._numBoxes,dPos:n.distinctVals(f).minDiff/2,posLetter:"x",valLetter:"y"}),r._numBoxes++,h):[{t:{empty:!0}}]}},{"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"../ohlc/calc":868}],682:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../ohlc/ohlc_defaults"),o=t("../scatter/period_defaults"),s=t("./attributes");function l(t,e,r,n){var a=r(n+".line.color");r(n+".line.width",e.line.width),r(n+".fillcolor",i.addOpacity(a,.5))}e.exports=function(t,e,r,i){function c(r,i){return n.coerce(t,e,s,r,i)}a(t,e,c,i)?(o(t,e,i,c,{x:!0}),c("xhoverformat"),c("yhoverformat"),c("line.width"),l(t,e,c,"increasing"),l(t,e,c,"decreasing"),c("text"),c("hovertext"),c("whiskerwidth"),i._requestRangeslider[e.xaxis]=!0):e.visible=!1}},{"../../components/color":361,"../../lib":498,"../ohlc/ohlc_defaults":872,"../scatter/period_defaults":942,"./attributes":680}],683:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"candlestick",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","showLegend","candlestick","boxLayout"],meta:{},attributes:t("./attributes"),layoutAttributes:t("../box/layout_attributes"),supplyLayoutDefaults:t("../box/layout_defaults").supplyLayoutDefaults,crossTraceCalc:t("../box/cross_trace_calc").crossTraceCalc,supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("../box/plot").plot,layerName:"boxlayer",style:t("../box/style").style,hoverPoints:t("../ohlc/hover").hoverPoints,selectPoints:t("../ohlc/select")}},{"../../plots/cartesian":563,"../box/cross_trace_calc":670,"../box/layout_attributes":675,"../box/layout_defaults":676,"../box/plot":677,"../box/style":679,"../ohlc/hover":870,"../ohlc/select":874,"./attributes":680,"./calc":681,"./defaults":682}],684:[function(t,e,r){"use strict";var n=t("./axis_defaults"),i=t("../../plot_api/plot_template");e.exports=function(t,e,r,a,o){a("a")||(a("da"),a("a0")),a("b")||(a("db"),a("b0")),function(t,e,r,a){["aaxis","baxis"].forEach((function(o){var s=o.charAt(0),l=t[o]||{},c=i.newContainer(e,o),u={noTicklabelstep:!0,tickfont:"x",id:s+"axis",letter:s,font:e.font,name:o,data:t[s],calendar:e.calendar,dfltColor:a,bgColor:r.paper_bgcolor,autotypenumbersDflt:r.autotypenumbers,fullLayout:r};n(l,c,u),c._categories=c._categories||[],t[o]||"-"===l.type||(t[o]={type:l.type})}))}(t,e,r,o)}},{"../../plot_api/plot_template":538,"./axis_defaults":689}],685:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t){return function t(e,r){if(!n(e)||r>=10)return null;for(var i=1/0,a=-1/0,o=e.length,s=0;s<o;s++){var l=e[s];if(n(l)){var c=t(l,r+1);c&&(i=Math.min(c[0],i),a=Math.max(c[1],a))}else i=Math.min(l,i),a=Math.max(l,a)}return[i,a]}(t,0)}},{"../../lib":498}],686:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("./axis_attributes"),a=t("../../components/color/attributes"),o=n({editType:"calc"});o.family.dflt='"Open Sans", verdana, arial, sans-serif',o.size.dflt=12,o.color.dflt=a.defaultLine,e.exports={carpet:{valType:"string",editType:"calc"},x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},a:{valType:"data_array",editType:"calc"},a0:{valType:"number",dflt:0,editType:"calc"},da:{valType:"number",dflt:1,editType:"calc"},b:{valType:"data_array",editType:"calc"},b0:{valType:"number",dflt:0,editType:"calc"},db:{valType:"number",dflt:1,editType:"calc"},cheaterslope:{valType:"number",dflt:1,editType:"calc"},aaxis:i,baxis:i,font:o,color:{valType:"color",dflt:a.defaultLine,editType:"plot"},transforms:void 0}},{"../../components/color/attributes":360,"../../plots/font_attributes":580,"./axis_attributes":688}],687:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m,g,v,y=n(r)?"a":"b",x=("a"===y?t.aaxis:t.baxis).smoothing,b="a"===y?t.a2i:t.b2j,_="a"===y?r:i,w="a"===y?i:r,T="a"===y?e.a.length:e.b.length,k="a"===y?e.b.length:e.a.length,A=Math.floor("a"===y?t.b2j(w):t.a2i(w)),M="a"===y?function(e){return t.evalxy([],e,A)}:function(e){return t.evalxy([],A,e)};x&&(s=Math.max(0,Math.min(k-2,A)),l=A-s,o="a"===y?function(e,r){return t.dxydi([],e,s,r,l)}:function(e,r){return t.dxydj([],s,e,l,r)});var S=b(_[0]),E=b(_[1]),L=S<E?1:-1,C=1e-8*(E-S),P=L>0?Math.floor:Math.ceil,I=L>0?Math.ceil:Math.floor,O=L>0?Math.min:Math.max,z=L>0?Math.max:Math.min,D=P(S+C),R=I(E-C),F=[[f=M(S)]];for(a=D;a*L<R*L;a+=L)c=[],m=z(S,a),v=(g=O(E,a+L))-m,u=Math.max(0,Math.min(T-2,Math.floor(.5*(m+g)))),h=M(g),x&&(p=o(u,m-u),d=o(u,g-u),c.push([f[0]+p[0]/3*v,f[1]+p[1]/3*v]),c.push([h[0]-d[0]/3*v,h[1]-d[1]/3*v])),c.push(h),F.push(c),f=h;return F}},{"../../lib":498}],688:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../components/color/attributes"),a=t("../../plots/cartesian/layout_attributes"),o=t("../../plots/cartesian/axis_format_attributes").descriptionWithDates,s=t("../../plot_api/edit_types").overrideAll;e.exports={color:{valType:"color",editType:"calc"},smoothing:{valType:"number",dflt:1,min:0,max:1.3,editType:"calc"},title:{text:{valType:"string",dflt:"",editType:"calc"},font:n({editType:"calc"}),offset:{valType:"number",dflt:10,editType:"calc"},editType:"calc"},type:{valType:"enumerated",values:["-","linear","date","category"],dflt:"-",editType:"calc"},autotypenumbers:a.autotypenumbers,autorange:{valType:"enumerated",values:[!0,!1,"reversed"],dflt:!0,editType:"calc"},rangemode:{valType:"enumerated",values:["normal","tozero","nonnegative"],dflt:"normal",editType:"calc"},range:{valType:"info_array",editType:"calc",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}]},fixedrange:{valType:"boolean",dflt:!1,editType:"calc"},cheatertype:{valType:"enumerated",values:["index","value"],dflt:"value",editType:"calc"},tickmode:{valType:"enumerated",values:["linear","array"],dflt:"array",editType:"calc"},nticks:{valType:"integer",min:0,dflt:0,editType:"calc"},tickvals:{valType:"data_array",editType:"calc"},ticktext:{valType:"data_array",editType:"calc"},showticklabels:{valType:"enumerated",values:["start","end","both","none"],dflt:"start",editType:"calc"},tickfont:n({editType:"calc"}),tickangle:{valType:"angle",dflt:"auto",editType:"calc"},tickprefix:{valType:"string",dflt:"",editType:"calc"},showtickprefix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},ticksuffix:{valType:"string",dflt:"",editType:"calc"},showticksuffix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},showexponent:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},exponentformat:{valType:"enumerated",values:["none","e","E","power","SI","B"],dflt:"B",editType:"calc"},minexponent:{valType:"number",dflt:3,min:0,editType:"calc"},separatethousands:{valType:"boolean",dflt:!1,editType:"calc"},tickformat:{valType:"string",dflt:"",editType:"calc",description:o("tick label")},tickformatstops:s(a.tickformatstops,"calc","from-root"),categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array"],dflt:"trace",editType:"calc"},categoryarray:{valType:"data_array",editType:"calc"},labelpadding:{valType:"integer",dflt:10,editType:"calc"},labelprefix:{valType:"string",editType:"calc"},labelsuffix:{valType:"string",dflt:"",editType:"calc"},showline:{valType:"boolean",dflt:!1,editType:"calc"},linecolor:{valType:"color",dflt:i.defaultLine,editType:"calc"},linewidth:{valType:"number",min:0,dflt:1,editType:"calc"},gridcolor:{valType:"color",editType:"calc"},gridwidth:{valType:"number",min:0,dflt:1,editType:"calc"},showgrid:{valType:"boolean",dflt:!0,editType:"calc"},minorgridcount:{valType:"integer",min:0,dflt:0,editType:"calc"},minorgridwidth:{valType:"number",min:0,dflt:1,editType:"calc"},minorgridcolor:{valType:"color",dflt:i.lightLine,editType:"calc"},startline:{valType:"boolean",editType:"calc"},startlinecolor:{valType:"color",editType:"calc"},startlinewidth:{valType:"number",dflt:1,editType:"calc"},endline:{valType:"boolean",editType:"calc"},endlinewidth:{valType:"number",dflt:1,editType:"calc"},endlinecolor:{valType:"color",editType:"calc"},tick0:{valType:"number",min:0,dflt:0,editType:"calc"},dtick:{valType:"number",min:0,dflt:1,editType:"calc"},arraytick0:{valType:"integer",min:0,dflt:0,editType:"calc"},arraydtick:{valType:"integer",min:1,dflt:1,editType:"calc"},_deprecated:{title:{valType:"string",editType:"calc"},titlefont:n({editType:"calc"}),titleoffset:{valType:"number",dflt:10,editType:"calc"}},editType:"calc"}},{"../../components/color/attributes":360,"../../plot_api/edit_types":531,"../../plots/cartesian/axis_format_attributes":552,"../../plots/cartesian/layout_attributes":564,"../../plots/font_attributes":580}],689:[function(t,e,r){"use strict";var n=t("./attributes"),i=t("../../components/color").addOpacity,a=t("../../registry"),o=t("../../lib"),s=t("../../plots/cartesian/tick_value_defaults"),l=t("../../plots/cartesian/tick_label_defaults"),c=t("../../plots/cartesian/prefix_suffix_defaults"),u=t("../../plots/cartesian/category_order_defaults"),f=t("../../plots/cartesian/set_convert"),h=t("../../plots/cartesian/axis_autotype");e.exports=function(t,e,r){var p=r.letter,d=r.font||{},m=n[p+"axis"];function g(r,n){return o.coerce(t,e,m,r,n)}function v(r,n){return o.coerce2(t,e,m,r,n)}r.name&&(e._name=r.name,e._id=r.name),g("autotypenumbers",r.autotypenumbersDflt);var y=g("type");("-"===y&&(r.data&&function(t,e){if("-"!==t.type)return;var r=t._id.charAt(0),n=t[r+"calendar"];t.type=h(e,n,{autotypenumbers:t.autotypenumbers})}(e,r.data),"-"===e.type?e.type="linear":y=t.type=e.type),g("smoothing"),g("cheatertype"),g("showticklabels"),g("labelprefix",p+" = "),g("labelsuffix"),g("showtickprefix"),g("showticksuffix"),g("separatethousands"),g("tickformat"),g("exponentformat"),g("minexponent"),g("showexponent"),g("categoryorder"),g("tickmode"),g("tickvals"),g("ticktext"),g("tick0"),g("dtick"),"array"===e.tickmode&&(g("arraytick0"),g("arraydtick")),g("labelpadding"),e._hovertitle=p,"date"===y)&&a.getComponentMethod("calendars","handleDefaults")(t,e,"calendar",r.calendar);f(e,r.fullLayout),e.c2p=o.identity;var x=g("color",r.dfltColor),b=x===t.color?x:d.color;g("title.text")&&(o.coerceFont(g,"title.font",{family:d.family,size:o.bigFont(d.size),color:b}),g("title.offset")),g("tickangle"),g("autorange",!e.isValidRange(t.range))&&g("rangemode"),g("range"),e.cleanRange(),g("fixedrange"),s(t,e,g,y),c(t,e,g,y,r),l(t,e,g,y,r),u(t,e,g,{data:r.data,dataAttr:p});var _=v("gridcolor",i(x,.3)),w=v("gridwidth"),T=g("showgrid");T||(delete e.gridcolor,delete e.gridwidth);var k=v("startlinecolor",x),A=v("startlinewidth",w);g("startline",e.showgrid||!!k||!!A)||(delete e.startlinecolor,delete e.startlinewidth);var M=v("endlinecolor",x),S=v("endlinewidth",w);return g("endline",e.showgrid||!!M||!!S)||(delete e.endlinecolor,delete e.endlinewidth),T?(g("minorgridcount"),g("minorgridwidth",w),g("minorgridcolor",i(_,.06)),e.minorgridcount||(delete e.minorgridwidth,delete e.minorgridcolor)):(delete e.gridcolor,delete e.gridWidth),"none"===e.showticklabels&&(delete e.tickfont,delete e.tickangle,delete e.showexponent,delete e.exponentformat,delete e.minexponent,delete e.tickformat,delete e.showticksuffix,delete e.showtickprefix),e.showticksuffix||delete e.ticksuffix,e.showtickprefix||delete e.tickprefix,g("tickmode"),e}},{"../../components/color":361,"../../lib":498,"../../plots/cartesian/axis_autotype":550,"../../plots/cartesian/category_order_defaults":554,"../../plots/cartesian/prefix_suffix_defaults":568,"../../plots/cartesian/set_convert":571,"../../plots/cartesian/tick_label_defaults":573,"../../plots/cartesian/tick_value_defaults":575,"../../registry":633,"./attributes":686}],690:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib").isArray1D,a=t("./cheater_basis"),o=t("./array_minmax"),s=t("./calc_gridlines"),l=t("./calc_labels"),c=t("./calc_clippath"),u=t("../heatmap/clean_2d_array"),f=t("./smooth_fill_2d_array"),h=t("../heatmap/convert_column_xyz"),p=t("./set_convert");e.exports=function(t,e){var r=n.getFromId(t,e.xaxis),d=n.getFromId(t,e.yaxis),m=e.aaxis,g=e.baxis,v=e.x,y=e.y,x=[];v&&i(v)&&x.push("x"),y&&i(y)&&x.push("y"),x.length&&h(e,m,g,"a","b",x);var b=e._a=e._a||e.a,_=e._b=e._b||e.b;v=e._x||e.x,y=e._y||e.y;var w={};if(e._cheater){var T="index"===m.cheatertype?b.length:b,k="index"===g.cheatertype?_.length:_;v=a(T,k,e.cheaterslope)}e._x=v=u(v),e._y=y=u(y),f(v,b,_),f(y,b,_),p(e),e.setScale();var A=o(v),M=o(y),S=.5*(A[1]-A[0]),E=.5*(A[1]+A[0]),L=.5*(M[1]-M[0]),C=.5*(M[1]+M[0]);return A=[E-1.3*S,E+1.3*S],M=[C-1.3*L,C+1.3*L],e._extremes[r._id]=n.findExtremes(r,A,{padded:!0}),e._extremes[d._id]=n.findExtremes(d,M,{padded:!0}),s(e,"a","b"),s(e,"b","a"),l(e,m),l(e,g),w.clipsegments=c(e._xctrl,e._yctrl,m,g),w.x=v,w.y=y,w.a=b,w.b=_,[w]}},{"../../lib":498,"../../plots/cartesian/axes":549,"../heatmap/clean_2d_array":789,"../heatmap/convert_column_xyz":791,"./array_minmax":685,"./calc_clippath":691,"./calc_gridlines":692,"./calc_labels":693,"./cheater_basis":695,"./set_convert":708,"./smooth_fill_2d_array":709}],691:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a,o,s=[],l=!!r.smoothing,c=!!n.smoothing,u=t[0].length-1,f=t.length-1;for(i=0,a=[],o=[];i<=u;i++)a[i]=t[0][i],o[i]=e[0][i];for(s.push({x:a,y:o,bicubic:l}),i=0,a=[],o=[];i<=f;i++)a[i]=t[i][u],o[i]=e[i][u];for(s.push({x:a,y:o,bicubic:c}),i=u,a=[],o=[];i>=0;i--)a[u-i]=t[f][i],o[u-i]=e[f][i];for(s.push({x:a,y:o,bicubic:l}),i=f,a=[],o=[];i>=0;i--)a[f-i]=t[i][0],o[f-i]=e[i][0];return s.push({x:a,y:o,bicubic:c}),s}},{}],692:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib/extend").extendFlat;e.exports=function(t,e,r){var a,o,s,l,c,u,f,h,p,d,m,g,v,y,x=t["_"+e],b=t[e+"axis"],_=b._gridlines=[],w=b._minorgridlines=[],T=b._boundarylines=[],k=t["_"+r],A=t[r+"axis"];"array"===b.tickmode&&(b.tickvals=x.slice());var M=t._xctrl,S=t._yctrl,E=M[0].length,L=M.length,C=t._a.length,P=t._b.length;n.prepTicks(b),"array"===b.tickmode&&delete b.tickvals;var I=b.smoothing?3:1;function O(n){var i,a,o,s,l,c,u,f,p,d,m,g,v=[],y=[],x={};if("b"===e)for(a=t.b2j(n),o=Math.floor(Math.max(0,Math.min(P-2,a))),s=a-o,x.length=P,x.crossLength=C,x.xy=function(e){return t.evalxy([],e,a)},x.dxy=function(e,r){return t.dxydi([],e,o,r,s)},i=0;i<C;i++)c=Math.min(C-2,i),u=i-c,f=t.evalxy([],i,a),A.smoothing&&i>0&&(p=t.dxydi([],i-1,o,0,s),v.push(l[0]+p[0]/3),y.push(l[1]+p[1]/3),d=t.dxydi([],i-1,o,1,s),v.push(f[0]-d[0]/3),y.push(f[1]-d[1]/3)),v.push(f[0]),y.push(f[1]),l=f;else for(i=t.a2i(n),c=Math.floor(Math.max(0,Math.min(C-2,i))),u=i-c,x.length=C,x.crossLength=P,x.xy=function(e){return t.evalxy([],i,e)},x.dxy=function(e,r){return t.dxydj([],c,e,u,r)},a=0;a<P;a++)o=Math.min(P-2,a),s=a-o,f=t.evalxy([],i,a),A.smoothing&&a>0&&(m=t.dxydj([],c,a-1,u,0),v.push(l[0]+m[0]/3),y.push(l[1]+m[1]/3),g=t.dxydj([],c,a-1,u,1),v.push(f[0]-g[0]/3),y.push(f[1]-g[1]/3)),v.push(f[0]),y.push(f[1]),l=f;return x.axisLetter=e,x.axis=b,x.crossAxis=A,x.value=n,x.constvar=r,x.index=h,x.x=v,x.y=y,x.smoothing=A.smoothing,x}function z(n){var i,a,o,s,l,c=[],u=[],f={};if(f.length=x.length,f.crossLength=k.length,"b"===e)for(o=Math.max(0,Math.min(P-2,n)),l=Math.min(1,Math.max(0,n-o)),f.xy=function(e){return t.evalxy([],e,n)},f.dxy=function(e,r){return t.dxydi([],e,o,r,l)},i=0;i<E;i++)c[i]=M[n*I][i],u[i]=S[n*I][i];else for(a=Math.max(0,Math.min(C-2,n)),s=Math.min(1,Math.max(0,n-a)),f.xy=function(e){return t.evalxy([],n,e)},f.dxy=function(e,r){return t.dxydj([],a,e,s,r)},i=0;i<L;i++)c[i]=M[i][n*I],u[i]=S[i][n*I];return f.axisLetter=e,f.axis=b,f.crossAxis=A,f.value=x[n],f.constvar=r,f.index=n,f.x=c,f.y=u,f.smoothing=A.smoothing,f}if("array"===b.tickmode){for(l=5e-15,u=(c=[Math.floor((x.length-1-b.arraytick0)/b.arraydtick*(1+l)),Math.ceil(-b.arraytick0/b.arraydtick/(1+l))].sort((function(t,e){return t-e})))[0]-1,f=c[1]+1,h=u;h<f;h++)(o=b.arraytick0+b.arraydtick*h)<0||o>x.length-1||_.push(i(z(o),{color:b.gridcolor,width:b.gridwidth}));for(h=u;h<f;h++)if(s=b.arraytick0+b.arraydtick*h,m=Math.min(s+b.arraydtick,x.length-1),!(s<0||s>x.length-1||m<0||m>x.length-1))for(g=x[s],v=x[m],a=0;a<b.minorgridcount;a++)(y=m-s)<=0||(d=g+(v-g)*(a+1)/(b.minorgridcount+1)*(b.arraydtick/y))<x[0]||d>x[x.length-1]||w.push(i(O(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(z(0),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(z(x.length-1),{color:b.endlinecolor,width:b.endlinewidth}))}else{for(l=5e-15,u=(c=[Math.floor((x[x.length-1]-b.tick0)/b.dtick*(1+l)),Math.ceil((x[0]-b.tick0)/b.dtick/(1+l))].sort((function(t,e){return t-e})))[0],f=c[1],h=u;h<=f;h++)p=b.tick0+b.dtick*h,_.push(i(O(p),{color:b.gridcolor,width:b.gridwidth}));for(h=u-1;h<f+1;h++)for(p=b.tick0+b.dtick*h,a=0;a<b.minorgridcount;a++)(d=p+b.dtick*(a+1)/(b.minorgridcount+1))<x[0]||d>x[x.length-1]||w.push(i(O(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(O(x[0]),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(O(x[x.length-1]),{color:b.endlinecolor,width:b.endlinewidth}))}}},{"../../lib/extend":488,"../../plots/cartesian/axes":549}],693:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib/extend").extendFlat;e.exports=function(t,e){var r,a,o,s=e._labels=[],l=e._gridlines;for(r=0;r<l.length;r++)o=l[r],-1!==["start","both"].indexOf(e.showticklabels)&&(a=n.tickText(e,o.value),i(a,{prefix:void 0,suffix:void 0,endAnchor:!0,xy:o.xy(0),dxy:o.dxy(0,0),axis:o.axis,length:o.crossAxis.length,font:o.axis.tickfont,isFirst:0===r,isLast:r===l.length-1}),s.push(a)),-1!==["end","both"].indexOf(e.showticklabels)&&(a=n.tickText(e,o.value),i(a,{endAnchor:!1,xy:o.xy(o.crossLength-1),dxy:o.dxy(o.crossLength-2,1),axis:o.axis,length:o.crossAxis.length,font:o.axis.tickfont,isFirst:0===r,isLast:r===l.length-1}),s.push(a))}},{"../../lib/extend":488,"../../plots/cartesian/axes":549}],694:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i=t[0]-e[0],a=t[1]-e[1],o=r[0]-e[0],s=r[1]-e[1],l=Math.pow(i*i+a*a,.25),c=Math.pow(o*o+s*s,.25),u=(c*c*i-l*l*o)*n,f=(c*c*a-l*l*s)*n,h=c*(l+c)*3,p=l*(l+c)*3;return[[e[0]+(h&&u/h),e[1]+(h&&f/h)],[e[0]-(p&&u/p),e[1]-(p&&f/p)]]}},{}],695:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r){var i,a,o,s,l,c,u=[],f=n(t)?t.length:t,h=n(e)?e.length:e,p=n(t)?t:null,d=n(e)?e:null;p&&(o=(p.length-1)/(p[p.length-1]-p[0])/(f-1)),d&&(s=(d.length-1)/(d[d.length-1]-d[0])/(h-1));var m=1/0,g=-1/0;for(a=0;a<h;a++)for(u[a]=[],l=d?(d[a]-d[0])*s:a/(h-1),i=0;i<f;i++)c=(p?(p[i]-p[0])*o:i/(f-1))-l*r,m=Math.min(c,m),g=Math.max(c,g),u[a][i]=c;var v=1/(g-m),y=-m*v;for(a=0;a<h;a++)for(i=0;i<f;i++)u[a][i]=v*u[a][i]+y;return u}},{"../../lib":498}],696:[function(t,e,r){"use strict";var n=t("./catmull_rom"),i=t("../../lib").ensureArray;function a(t,e,r){var n=-.5*r[0]+1.5*e[0],i=-.5*r[1]+1.5*e[1];return[(2*n+t[0])/3,(2*i+t[1])/3]}e.exports=function(t,e,r,o,s,l){var c,u,f,h,p,d,m,g,v,y,x=r[0].length,b=r.length,_=s?3*x-2:x,w=l?3*b-2:b;for(t=i(t,w),e=i(e,w),f=0;f<w;f++)t[f]=i(t[f],_),e[f]=i(e[f],_);for(u=0,h=0;u<b;u++,h+=l?3:1)for(p=t[h],d=e[h],m=r[u],g=o[u],c=0,f=0;c<x;c++,f+=s?3:1)p[f]=m[c],d[f]=g[c];if(s)for(u=0,h=0;u<b;u++,h+=l?3:1){for(c=1,f=3;c<x-1;c++,f+=3)v=n([r[u][c-1],o[u][c-1]],[r[u][c],o[u][c]],[r[u][c+1],o[u][c+1]],s),t[h][f-1]=v[0][0],e[h][f-1]=v[0][1],t[h][f+1]=v[1][0],e[h][f+1]=v[1][1];y=a([t[h][0],e[h][0]],[t[h][2],e[h][2]],[t[h][3],e[h][3]]),t[h][1]=y[0],e[h][1]=y[1],y=a([t[h][_-1],e[h][_-1]],[t[h][_-3],e[h][_-3]],[t[h][_-4],e[h][_-4]]),t[h][_-2]=y[0],e[h][_-2]=y[1]}if(l)for(f=0;f<_;f++){for(h=3;h<w-3;h+=3)v=n([t[h-3][f],e[h-3][f]],[t[h][f],e[h][f]],[t[h+3][f],e[h+3][f]],l),t[h-1][f]=v[0][0],e[h-1][f]=v[0][1],t[h+1][f]=v[1][0],e[h+1][f]=v[1][1];y=a([t[0][f],e[0][f]],[t[2][f],e[2][f]],[t[3][f],e[3][f]]),t[1][f]=y[0],e[1][f]=y[1],y=a([t[w-1][f],e[w-1][f]],[t[w-3][f],e[w-3][f]],[t[w-4][f],e[w-4][f]]),t[w-2][f]=y[0],e[w-2][f]=y[1]}if(s&&l)for(h=1;h<w;h+=(h+1)%3==0?2:1){for(f=3;f<_-3;f+=3)v=n([t[h][f-3],e[h][f-3]],[t[h][f],e[h][f]],[t[h][f+3],e[h][f+3]],s),t[h][f-1]=.5*(t[h][f-1]+v[0][0]),e[h][f-1]=.5*(e[h][f-1]+v[0][1]),t[h][f+1]=.5*(t[h][f+1]+v[1][0]),e[h][f+1]=.5*(e[h][f+1]+v[1][1]);y=a([t[h][0],e[h][0]],[t[h][2],e[h][2]],[t[h][3],e[h][3]]),t[h][1]=.5*(t[h][1]+y[0]),e[h][1]=.5*(e[h][1]+y[1]),y=a([t[h][_-1],e[h][_-1]],[t[h][_-3],e[h][_-3]],[t[h][_-4],e[h][_-4]]),t[h][_-2]=.5*(t[h][_-2]+y[0]),e[h][_-2]=.5*(e[h][_-2]+y[1])}return[t,e]}},{"../../lib":498,"./catmull_rom":694}],697:[function(t,e,r){"use strict";e.exports={RELATIVE_CULL_TOLERANCE:1e-6}},{}],698:[function(t,e,r){"use strict";e.exports=function(t,e,r){return e&&r?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),r*=3,n*=3;var h=i*i,p=1-i,d=p*p,m=p*i*2,g=-3*d,v=3*(d-m),y=3*(m-h),x=3*h,b=a*a,_=b*a,w=1-a,T=w*w,k=T*w;for(f=0;f<t.length;f++)o=g*(u=t[f])[n][r]+v*u[n][r+1]+y*u[n][r+2]+x*u[n][r+3],s=g*u[n+1][r]+v*u[n+1][r+1]+y*u[n+1][r+2]+x*u[n+1][r+3],l=g*u[n+2][r]+v*u[n+2][r+1]+y*u[n+2][r+2]+x*u[n+2][r+3],c=g*u[n+3][r]+v*u[n+3][r+1]+y*u[n+3][r+2]+x*u[n+3][r+3],e[f]=k*o+3*(T*a*s+w*b*l)+_*c;return e}:e?function(e,r,n,i,a){var o,s,l,c;e||(e=[]),r*=3;var u=i*i,f=1-i,h=f*f,p=f*i*2,d=-3*h,m=3*(h-p),g=3*(p-u),v=3*u,y=1-a;for(l=0;l<t.length;l++)o=d*(c=t[l])[n][r]+m*c[n][r+1]+g*c[n][r+2]+v*c[n][r+3],s=d*c[n+1][r]+m*c[n+1][r+1]+g*c[n+1][r+2]+v*c[n+1][r+3],e[l]=y*o+a*s;return e}:r?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),n*=3;var h=a*a,p=h*a,d=1-a,m=d*d,g=m*d;for(u=0;u<t.length;u++)o=(f=t[u])[n][r+1]-f[n][r],s=f[n+1][r+1]-f[n+1][r],l=f[n+2][r+1]-f[n+2][r],c=f[n+3][r+1]-f[n+3][r],e[u]=g*o+3*(m*a*s+d*h*l)+p*c;return e}:function(e,r,n,i,a){var o,s,l,c;e||(e=[]);var u=1-a;for(l=0;l<t.length;l++)o=(c=t[l])[n][r+1]-c[n][r],s=c[n+1][r+1]-c[n+1][r],e[l]=u*o+a*s;return e}}},{}],699:[function(t,e,r){"use strict";e.exports=function(t,e,r){return e&&r?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),r*=3,n*=3;var h=i*i,p=h*i,d=1-i,m=d*d,g=m*d,v=a*a,y=1-a,x=y*y,b=y*a*2,_=-3*x,w=3*(x-b),T=3*(b-v),k=3*v;for(f=0;f<t.length;f++)o=_*(u=t[f])[n][r]+w*u[n+1][r]+T*u[n+2][r]+k*u[n+3][r],s=_*u[n][r+1]+w*u[n+1][r+1]+T*u[n+2][r+1]+k*u[n+3][r+1],l=_*u[n][r+2]+w*u[n+1][r+2]+T*u[n+2][r+2]+k*u[n+3][r+2],c=_*u[n][r+3]+w*u[n+1][r+3]+T*u[n+2][r+3]+k*u[n+3][r+3],e[f]=g*o+3*(m*i*s+d*h*l)+p*c;return e}:e?function(e,r,n,i,a){var o,s,l,c,u,f;e||(e=[]),r*=3;var h=a*a,p=h*a,d=1-a,m=d*d,g=m*d;for(u=0;u<t.length;u++)o=(f=t[u])[n+1][r]-f[n][r],s=f[n+1][r+1]-f[n][r+1],l=f[n+1][r+2]-f[n][r+2],c=f[n+1][r+3]-f[n][r+3],e[u]=g*o+3*(m*a*s+d*h*l)+p*c;return e}:r?function(e,r,n,i,a){var o,s,l,c;e||(e=[]),n*=3;var u=1-i,f=a*a,h=1-a,p=h*h,d=h*a*2,m=-3*p,g=3*(p-d),v=3*(d-f),y=3*f;for(l=0;l<t.length;l++)o=m*(c=t[l])[n][r]+g*c[n+1][r]+v*c[n+2][r]+y*c[n+3][r],s=m*c[n][r+1]+g*c[n+1][r+1]+v*c[n+2][r+1]+y*c[n+3][r+1],e[l]=u*o+i*s;return e}:function(e,r,n,i,a){var o,s,l,c;e||(e=[]);var u=1-i;for(l=0;l<t.length;l++)o=(c=t[l])[n+1][r]-c[n][r],s=c[n+1][r+1]-c[n][r+1],e[l]=u*o+i*s;return e}}},{}],700:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=e-2,o=r-2;return n&&i?function(e,r,n){var i,s,l,c,u,f;e||(e=[]);var h=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-h)),m=Math.max(0,Math.min(1,n-p));h*=3,p*=3;var g=d*d,v=g*d,y=1-d,x=y*y,b=x*y,_=m*m,w=_*m,T=1-m,k=T*T,A=k*T;for(f=0;f<t.length;f++)i=b*(u=t[f])[p][h]+3*(x*d*u[p][h+1]+y*g*u[p][h+2])+v*u[p][h+3],s=b*u[p+1][h]+3*(x*d*u[p+1][h+1]+y*g*u[p+1][h+2])+v*u[p+1][h+3],l=b*u[p+2][h]+3*(x*d*u[p+2][h+1]+y*g*u[p+2][h+2])+v*u[p+2][h+3],c=b*u[p+3][h]+3*(x*d*u[p+3][h+1]+y*g*u[p+3][h+2])+v*u[p+3][h+3],e[f]=A*i+3*(k*m*s+T*_*l)+w*c;return e}:n?function(e,r,n){e||(e=[]);var i,s,l,c,u,f,h=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-h)),m=Math.max(0,Math.min(1,n-p));h*=3;var g=d*d,v=g*d,y=1-d,x=y*y,b=x*y,_=1-m;for(u=0;u<t.length;u++)i=_*(f=t[u])[p][h]+m*f[p+1][h],s=_*f[p][h+1]+m*f[p+1][h+1],l=_*f[p][h+2]+m*f[p+1][h+1],c=_*f[p][h+3]+m*f[p+1][h+1],e[u]=b*i+3*(x*d*s+y*g*l)+v*c;return e}:i?function(e,r,n){e||(e=[]);var i,s,l,c,u,f,h=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-h)),m=Math.max(0,Math.min(1,n-p));p*=3;var g=m*m,v=g*m,y=1-m,x=y*y,b=x*y,_=1-d;for(u=0;u<t.length;u++)i=_*(f=t[u])[p][h]+d*f[p][h+1],s=_*f[p+1][h]+d*f[p+1][h+1],l=_*f[p+2][h]+d*f[p+2][h+1],c=_*f[p+3][h]+d*f[p+3][h+1],e[u]=b*i+3*(x*m*s+y*g*l)+v*c;return e}:function(e,r,n){e||(e=[]);var i,s,l,c,u=Math.max(0,Math.min(Math.floor(r),a)),f=Math.max(0,Math.min(Math.floor(n),o)),h=Math.max(0,Math.min(1,r-u)),p=Math.max(0,Math.min(1,n-f)),d=1-p,m=1-h;for(l=0;l<t.length;l++)i=m*(c=t[l])[f][u]+h*c[f][u+1],s=m*c[f+1][u]+h*c[f+1][u+1],e[l]=d*i+p*s;return e}}},{}],701:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./xy_defaults"),a=t("./ab_defaults"),o=t("./attributes"),s=t("../../components/color/attributes");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,o,r,i)}e._clipPathId="clip"+e.uid+"carpet";var u=c("color",s.defaultLine);(n.coerceFont(c,"font"),c("carpet"),a(t,e,l,c,u),e.a&&e.b)?(e.a.length<3&&(e.aaxis.smoothing=0),e.b.length<3&&(e.baxis.smoothing=0),i(t,e,c)||(e.visible=!1),e._cheater&&c("cheaterslope")):e.visible=!1}},{"../../components/color/attributes":360,"../../lib":498,"./ab_defaults":684,"./attributes":686,"./xy_defaults":710}],702:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),plot:t("./plot"),calc:t("./calc"),animatable:!0,isContainer:!0,moduleType:"trace",name:"carpet",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","carpet","carpetAxis","notLegendIsolatable","noMultiCategory","noHover","noSortingByValue"],meta:{}}},{"../../plots/cartesian":563,"./attributes":686,"./calc":690,"./defaults":701,"./plot":707}],703:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r,n=t._fullData.length,i=0;i<n;i++){var a=t._fullData[i];if(a.index!==e.index&&("carpet"===a.type&&(r||(r=a),a.carpet===e.carpet)))return a}return r}},{}],704:[function(t,e,r){"use strict";e.exports=function(t,e,r){if(0===t.length)return"";var n,i=[],a=r?3:1;for(n=0;n<t.length;n+=a)i.push(t[n]+","+e[n]),r&&n<t.length-a&&(i.push("C"),i.push([t[n+1]+","+e[n+1],t[n+2]+","+e[n+2]+" "].join(" ")));return i.join(r?"":"L")}},{}],705:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r){var i;for(n(t)?t.length>e.length&&(t=t.slice(0,e.length)):t=[],i=0;i<e.length;i++)t[i]=r(e[i]);return t}},{"../../lib":498}],706:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i,a){var o=i[0]*t.dpdx(e),s=i[1]*t.dpdy(r),l=1,c=1;if(a){var u=Math.sqrt(i[0]*i[0]+i[1]*i[1]),f=Math.sqrt(a[0]*a[0]+a[1]*a[1]),h=(i[0]*a[0]+i[1]*a[1])/u/f;c=Math.max(0,h)}var p=180*Math.atan2(s,o)/Math.PI;return p<-90?(p+=180,l=-l):p>90&&(p-=180,l=-l),{angle:p,flip:l,p:t.c2p(n,e,r),offsetMultplier:c}}},{}],707:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("./map_1d_array"),o=t("./makepath"),s=t("./orient_text"),l=t("../../lib/svg_text_utils"),c=t("../../lib"),u=c.strRotate,f=c.strTranslate,h=t("../../constants/alignment");function p(t,e,r,i,s,l){var c="const-"+s+"-lines",u=r.selectAll("."+c).data(l);u.enter().append("path").classed(c,!0).style("vector-effect","non-scaling-stroke"),u.each((function(r){var i=r,s=i.x,l=i.y,c=a([],s,t.c2p),u=a([],l,e.c2p),f="M"+o(c,u,i.smoothing);n.select(this).attr("d",f).style("stroke-width",i.width).style("stroke",i.color).style("fill","none")})),u.exit().remove()}function d(t,e,r,a,o,c,h,p){var d=c.selectAll("text."+p).data(h);d.enter().append("text").classed(p,!0);var m=0,g={};return d.each((function(o,c){var h;if("auto"===o.axis.tickangle)h=s(a,e,r,o.xy,o.dxy);else{var p=(o.axis.tickangle+180)*Math.PI/180;h=s(a,e,r,o.xy,[Math.cos(p),Math.sin(p)])}c||(g={angle:h.angle,flip:h.flip});var d=(o.endAnchor?-1:1)*h.flip,v=n.select(this).attr({"text-anchor":d>0?"start":"end","data-notex":1}).call(i.font,o.font).text(o.text).call(l.convertToTspans,t),y=i.bBox(this);v.attr("transform",f(h.p[0],h.p[1])+u(h.angle)+f(o.axis.labelpadding*d,.3*y.height)),m=Math.max(m,y.width+o.axis.labelpadding)})),d.exit().remove(),g.maxExtent=m,g}e.exports=function(t,e,r,i){var l=e.xaxis,u=e.yaxis,f=t._fullLayout._clips;c.makeTraceGroups(i,r,"trace").each((function(e){var r=n.select(this),i=e[0],h=i.trace,m=h.aaxis,g=h.baxis,y=c.ensureSingle(r,"g","minorlayer"),x=c.ensureSingle(r,"g","majorlayer"),b=c.ensureSingle(r,"g","boundarylayer"),_=c.ensureSingle(r,"g","labellayer");r.style("opacity",h.opacity),p(l,u,x,m,"a",m._gridlines),p(l,u,x,g,"b",g._gridlines),p(l,u,y,m,"a",m._minorgridlines),p(l,u,y,g,"b",g._minorgridlines),p(l,u,b,m,"a-boundary",m._boundarylines),p(l,u,b,g,"b-boundary",g._boundarylines);var w=d(t,l,u,h,i,_,m._labels,"a-label"),T=d(t,l,u,h,i,_,g._labels,"b-label");!function(t,e,r,n,i,a,o,l){var u,f,h,p,d=c.aggNums(Math.min,null,r.a),m=c.aggNums(Math.max,null,r.a),g=c.aggNums(Math.min,null,r.b),y=c.aggNums(Math.max,null,r.b);u=.5*(d+m),f=g,h=r.ab2xy(u,f,!0),p=r.dxyda_rough(u,f),void 0===o.angle&&c.extendFlat(o,s(r,i,a,h,r.dxydb_rough(u,f)));v(t,e,r,n,h,p,r.aaxis,i,a,o,"a-title"),u=d,f=.5*(g+y),h=r.ab2xy(u,f,!0),p=r.dxydb_rough(u,f),void 0===l.angle&&c.extendFlat(l,s(r,i,a,h,r.dxyda_rough(u,f)));v(t,e,r,n,h,p,r.baxis,i,a,l,"b-title")}(t,_,h,i,l,u,w,T),function(t,e,r,n,i){var s,l,u,f,h=r.select("#"+t._clipPathId);h.size()||(h=r.append("clipPath").classed("carpetclip",!0));var p=c.ensureSingle(h,"path","carpetboundary"),d=e.clipsegments,m=[];for(f=0;f<d.length;f++)s=d[f],l=a([],s.x,n.c2p),u=a([],s.y,i.c2p),m.push(o(l,u,s.bicubic));var g="M"+m.join("L")+"Z";h.attr("id",t._clipPathId),p.attr("d",g)}(h,i,f,l,u)}))};var m=h.LINE_SPACING,g=(1-h.MID_SHIFT)/m+1;function v(t,e,r,a,o,c,h,p,d,v,y){var x=[];h.title.text&&x.push(h.title.text);var b=e.selectAll("text."+y).data(x),_=v.maxExtent;b.enter().append("text").classed(y,!0),b.each((function(){var e=s(r,p,d,o,c);-1===["start","both"].indexOf(h.showticklabels)&&(_=0);var a=h.title.font.size;_+=a+h.title.offset;var y=(v.angle+(v.flip<0?180:0)-e.angle+450)%360,x=y>90&&y<270,b=n.select(this);b.text(h.title.text).call(l.convertToTspans,t),x&&(_=(-l.lineCount(b)+g)*m*a-_),b.attr("transform",f(e.p[0],e.p[1])+u(e.angle)+f(0,_)).attr("text-anchor","middle").call(i.font,h.title.font)})),b.exit().remove()}},{"../../components/drawing":383,"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"./makepath":704,"./map_1d_array":705,"./orient_text":706,"@plotly/d3":58}],708:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib/search").findBin,a=t("./compute_control_points"),o=t("./create_spline_evaluator"),s=t("./create_i_derivative_evaluator"),l=t("./create_j_derivative_evaluator");e.exports=function(t){var e=t._a,r=t._b,c=e.length,u=r.length,f=t.aaxis,h=t.baxis,p=e[0],d=e[c-1],m=r[0],g=r[u-1],v=e[e.length-1]-e[0],y=r[r.length-1]-r[0],x=v*n.RELATIVE_CULL_TOLERANCE,b=y*n.RELATIVE_CULL_TOLERANCE;p-=x,d+=x,m-=b,g+=b,t.isVisible=function(t,e){return t>p&&t<d&&e>m&&e<g},t.isOccluded=function(t,e){return t<p||t>d||e<m||e>g},t.setScale=function(){var e=t._x,r=t._y,n=a(t._xctrl,t._yctrl,e,r,f.smoothing,h.smoothing);t._xctrl=n[0],t._yctrl=n[1],t.evalxy=o([t._xctrl,t._yctrl],c,u,f.smoothing,h.smoothing),t.dxydi=s([t._xctrl,t._yctrl],f.smoothing,h.smoothing),t.dxydj=l([t._xctrl,t._yctrl],f.smoothing,h.smoothing)},t.i2a=function(t){var r=Math.max(0,Math.floor(t[0]),c-2),n=t[0]-r;return(1-n)*e[r]+n*e[r+1]},t.j2b=function(t){var e=Math.max(0,Math.floor(t[1]),c-2),n=t[1]-e;return(1-n)*r[e]+n*r[e+1]},t.ij2ab=function(e){return[t.i2a(e[0]),t.j2b(e[1])]},t.a2i=function(t){var r=Math.max(0,Math.min(i(t,e),c-2)),n=e[r],a=e[r+1];return Math.max(0,Math.min(c-1,r+(t-n)/(a-n)))},t.b2j=function(t){var e=Math.max(0,Math.min(i(t,r),u-2)),n=r[e],a=r[e+1];return Math.max(0,Math.min(u-1,e+(t-n)/(a-n)))},t.ab2ij=function(e){return[t.a2i(e[0]),t.b2j(e[1])]},t.i2c=function(e,r){return t.evalxy([],e,r)},t.ab2xy=function(n,i,a){if(!a&&(n<e[0]||n>e[c-1]|i<r[0]||i>r[u-1]))return[!1,!1];var o=t.a2i(n),s=t.b2j(i),l=t.evalxy([],o,s);if(a){var f,h,p,d,m=0,g=0,v=[];n<e[0]?(f=0,h=0,m=(n-e[0])/(e[1]-e[0])):n>e[c-1]?(f=c-2,h=1,m=(n-e[c-1])/(e[c-1]-e[c-2])):h=o-(f=Math.max(0,Math.min(c-2,Math.floor(o)))),i<r[0]?(p=0,d=0,g=(i-r[0])/(r[1]-r[0])):i>r[u-1]?(p=u-2,d=1,g=(i-r[u-1])/(r[u-1]-r[u-2])):d=s-(p=Math.max(0,Math.min(u-2,Math.floor(s)))),m&&(t.dxydi(v,f,p,h,d),l[0]+=v[0]*m,l[1]+=v[1]*m),g&&(t.dxydj(v,f,p,h,d),l[0]+=v[0]*g,l[1]+=v[1]*g)}return l},t.c2p=function(t,e,r){return[e.c2p(t[0]),r.c2p(t[1])]},t.p2x=function(t,e,r){return[e.p2c(t[0]),r.p2c(t[1])]},t.dadi=function(t){var r=Math.max(0,Math.min(e.length-2,t));return e[r+1]-e[r]},t.dbdj=function(t){var e=Math.max(0,Math.min(r.length-2,t));return r[e+1]-r[e]},t.dxyda=function(e,r,n,i){var a=t.dxydi(null,e,r,n,i),o=t.dadi(e,n);return[a[0]/o,a[1]/o]},t.dxydb=function(e,r,n,i){var a=t.dxydj(null,e,r,n,i),o=t.dbdj(r,i);return[a[0]/o,a[1]/o]},t.dxyda_rough=function(e,r,n){var i=v*(n||.1),a=t.ab2xy(e+i,r,!0),o=t.ab2xy(e-i,r,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dxydb_rough=function(e,r,n){var i=y*(n||.1),a=t.ab2xy(e,r+i,!0),o=t.ab2xy(e,r-i,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dpdx=function(t){return t._m},t.dpdy=function(t){return t._m}}},{"../../lib/search":518,"./compute_control_points":696,"./constants":697,"./create_i_derivative_evaluator":698,"./create_j_derivative_evaluator":699,"./create_spline_evaluator":700}],709:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r){var i,a,o,s=[],l=[],c=t[0].length,u=t.length;function f(e,r){var n,i=0,a=0;return e>0&&void 0!==(n=t[r][e-1])&&(a++,i+=n),e<c-1&&void 0!==(n=t[r][e+1])&&(a++,i+=n),r>0&&void 0!==(n=t[r-1][e])&&(a++,i+=n),r<u-1&&void 0!==(n=t[r+1][e])&&(a++,i+=n),i/Math.max(1,a)}var h,p,d,m,g,v,y,x,b,_,w,T=0;for(i=0;i<c;i++)for(a=0;a<u;a++)void 0===t[a][i]&&(s.push(i),l.push(a),t[a][i]=f(i,a)),T=Math.max(T,Math.abs(t[a][i]));if(!s.length)return t;var k=0,A=0,M=s.length;do{for(k=0,o=0;o<M;o++){i=s[o],a=l[o];var S,E,L,C,P,I,O=0,z=0;0===i?(L=e[P=Math.min(c-1,2)],C=e[1],S=t[a][P],z+=(E=t[a][1])+(E-S)*(e[0]-C)/(C-L),O++):i===c-1&&(L=e[P=Math.max(0,c-3)],C=e[c-2],S=t[a][P],z+=(E=t[a][c-2])+(E-S)*(e[c-1]-C)/(C-L),O++),(0===i||i===c-1)&&a>0&&a<u-1&&(h=r[a+1]-r[a],z+=((p=r[a]-r[a-1])*t[a+1][i]+h*t[a-1][i])/(p+h),O++),0===a?(L=r[I=Math.min(u-1,2)],C=r[1],S=t[I][i],z+=(E=t[1][i])+(E-S)*(r[0]-C)/(C-L),O++):a===u-1&&(L=r[I=Math.max(0,u-3)],C=r[u-2],S=t[I][i],z+=(E=t[u-2][i])+(E-S)*(r[u-1]-C)/(C-L),O++),(0===a||a===u-1)&&i>0&&i<c-1&&(h=e[i+1]-e[i],z+=((p=e[i]-e[i-1])*t[a][i+1]+h*t[a][i-1])/(p+h),O++),O?z/=O:(d=e[i+1]-e[i],m=e[i]-e[i-1],x=(g=r[a+1]-r[a])*(v=r[a]-r[a-1])*(g+v),z=((y=d*m*(d+m))*(v*t[a+1][i]+g*t[a-1][i])+x*(m*t[a][i+1]+d*t[a][i-1]))/(x*(m+d)+y*(v+g))),k+=(_=(b=z-t[a][i])/T)*_,w=O?0:.85,t[a][i]+=b*(1+w)}k=Math.sqrt(k)}while(A++<100&&k>1e-5);return n.log("Smoother converged to",k,"after",A,"iterations"),t}},{"../../lib":498}],710:[function(t,e,r){"use strict";var n=t("../../lib").isArray1D;e.exports=function(t,e,r){var i=r("x"),a=i&&i.length,o=r("y"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},{"../../lib":498}],711:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../scattergeo/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../plots/attributes"),s=t("../../components/color/attributes").defaultLine,l=t("../../lib/extend").extendFlat,c=i.marker.line;e.exports=l({locations:{valType:"data_array",editType:"calc"},locationmode:i.locationmode,z:{valType:"data_array",editType:"calc"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:"calc"},opacity:{valType:"number",arrayOk:!0,min:0,max:1,dflt:1,editType:"style"},editType:"calc"},selected:{marker:{opacity:i.selected.marker.opacity,editType:"plot"},editType:"plot"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:"plot"},editType:"plot"},hoverinfo:l({},o.hoverinfo,{editType:"calc",flags:["location","z","text","name"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/color/attributes":360,"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scattergeo/attributes":964}],712:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../../components/colorscale/calc"),o=t("../scatter/arrays_to_calcdata"),s=t("../scatter/calc_selection");function l(t){return t&&"string"==typeof t}e.exports=function(t,e){var r,c=e._length,u=new Array(c);r=e.geojson?function(t){return l(t)||n(t)}:l;for(var f=0;f<c;f++){var h=u[f]={},p=e.locations[f],d=e.z[f];r(p)&&n(d)?(h.loc=p,h.z=d):(h.loc=null,h.z=i),h.index=f}return o(u,e),a(t,e,{vals:e.z,containerStr:"",cLetter:"z"}),s(u,e),u}},{"../../components/colorscale/calc":369,"../../constants/numerical":474,"../scatter/arrays_to_calcdata":921,"../scatter/calc_selection":924,"fast-isnumeric":185}],713:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("locations"),c=s("z");if(l&&l.length&&n.isArrayOrTypedArray(c)&&c.length){e._length=Math.min(l.length,c.length);var u,f=s("geojson");("string"==typeof f&&""!==f||n.isPlainObject(f))&&(u="geojson-id"),"geojson-id"===s("locationmode",u)&&s("featureidkey"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)}else e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":711}],714:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){t.location=e.location,t.z=e.z;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t.ct=a.ct,t}},{}],715:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("./attributes"),a=t("../../lib").fillText;e.exports=function(t,e,r){var o,s,l,c,u=t.cd,f=u[0].trace,h=t.subplot,p=[e,r],d=[e+360,r];for(s=0;s<u.length;s++)if(c=!1,(o=u[s])._polygons){for(l=0;l<o._polygons.length;l++)o._polygons[l].contains(p)&&(c=!c),o._polygons[l].contains(d)&&(c=!c);if(c)break}if(c&&o)return t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(h.mockAxis,h.mockAxis.c2l(o.z),"hover").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(e.hovertemplate)return;var n=r.hi||e.hoverinfo,o=String(r.loc),s="all"===n?i.hoverinfo.flags:n.split("+"),l=-1!==s.indexOf("name"),c=-1!==s.indexOf("location"),u=-1!==s.indexOf("z"),f=-1!==s.indexOf("text"),h=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&h.push(o));u&&h.push(t.zLabel);f&&a(r,e,h);t.extraText=h.join("<br>")}(t,f,o),[t]}},{"../../lib":498,"../../plots/cartesian/axes":549,"./attributes":711}],716:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("./calc"),calcGeoJSON:t("./plot").calcGeoJSON,plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"choropleth",basePlotModule:t("../../plots/geo"),categories:["geo","noOpacity","showLegend"],meta:{}}},{"../../plots/geo":584,"../heatmap/colorbar":790,"./attributes":711,"./calc":712,"./defaults":713,"./event_data":714,"./hover":715,"./plot":717,"./select":718,"./style":719}],717:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../lib/geo_location_utils"),o=t("../../lib/topojson_utils").getTopojsonFeatures,s=t("../../plots/cartesian/autorange").findExtremes,l=t("./style").style;e.exports={calcGeoJSON:function(t,e){for(var r=t[0].trace,n=e[r.geo],i=n._subplot,l=r.locationmode,c=r._length,u="geojson-id"===l?a.extractTraceFeature(t):o(r,i.topojson),f=[],h=[],p=0;p<c;p++){var d=t[p],m="geojson-id"===l?d.fOut:a.locationToFeature(l,d.loc,u);if(m){d.geojson=m,d.ct=m.properties.ct,d._polygons=a.feature2polygons(m);var g=a.computeBbox(m);f.push(g[0],g[2]),h.push(g[1],g[3])}else d.geojson=null}if("geojson"===n.fitbounds&&"geojson-id"===l){var v=a.computeBbox(a.getTraceGeojson(r));f=[v[0],v[2]],h=[v[1],v[3]]}var y={padded:!0};r._extremes.lon=s(n.lonaxis._ax,f,y),r._extremes.lat=s(n.lataxis._ax,h,y)},plot:function(t,e,r){var a=e.layers.backplot.select(".choroplethlayer");i.makeTraceGroups(a,r,"trace choropleth").each((function(e){var r=n.select(this).selectAll("path.choroplethlocation").data(i.identity);r.enter().append("path").classed("choroplethlocation",!0),r.exit().remove(),l(t,e)}))}}},{"../../lib":498,"../../lib/geo_location_utils":491,"../../lib/topojson_utils":527,"../../plots/cartesian/autorange":548,"./style":719,"@plotly/d3":58}],718:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},{}],719:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../components/colorscale");function s(t,e){var r=e[0].trace,s=e[0].node3.selectAll(".choroplethlocation"),l=r.marker||{},c=l.line||{},u=o.makeColorScaleFuncFromTrace(r);s.each((function(t){n.select(this).attr("fill",u(t.z)).call(i.stroke,t.mlc||c.color).call(a.dashLine,"",t.mlw||c.width||0).style("opacity",l.opacity)})),a.selectedPointStyle(s,r,t)}e.exports={style:function(t,e){e&&s(t,e)},styleOnSelect:function(t,e){var r=e[0].node3,n=e[0].trace;n.selectedpoints?a.selectedPointStyle(r.selectAll(".choroplethlocation"),n,t):s(t,e)}}},{"../../components/color":361,"../../components/colorscale":373,"../../components/drawing":383,"@plotly/d3":58}],720:[function(t,e,r){"use strict";var n=t("../choropleth/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({locations:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},geojson:{valType:"any",editType:"calc"},featureidkey:s({},n.featureidkey,{}),below:{valType:"string",editType:"plot"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:"plot"}),width:s({},n.marker.line.width,{editType:"plot"}),editType:"calc"},opacity:s({},n.marker.opacity,{editType:"plot"}),editType:"calc"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:["properties"]}),showlegend:s({},o.showlegend,{dflt:!1})},i("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../choropleth/attributes":711}],721:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../components/colorscale"),o=t("../../components/drawing"),s=t("../../lib/geojson_utils").makeBlank,l=t("../../lib/geo_location_utils");function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:"identity",property:"mo2"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:"identity",property:"mo"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{"fill-opacity":e}),i.extendFlat(n.line.paint,{"line-opacity":e}),n}e.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:"none"},paint:{}},u={layout:{visibility:"none"},paint:{}},f=e._opts={fill:o,line:u,geojson:s()};if(!r)return f;var h=l.extractTraceFeature(t);if(!h)return f;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=g(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),m&&(w.mlw=m(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:"identity",property:"mo"}:v.opacity;return i.extendFlat(o.paint,{"fill-color":{type:"identity",property:"fc"},"fill-opacity":T}),i.extendFlat(u.paint,{"line-color":d?{type:"identity",property:"mlc"}:y.color,"line-width":m?{type:"identity",property:"mlw"}:y.width,"line-opacity":T}),o.layout.visibility="visible",u.layout.visibility="visible",f.geojson={type:"FeatureCollection",features:h},c(t),f},convertOnSelect:c}},{"../../components/colorscale":373,"../../components/drawing":383,"../../lib":498,"../../lib/geo_location_utils":491,"../../lib/geojson_utils":492,"fast-isnumeric":185}],722:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("locations"),c=s("z"),u=s("geojson");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&("string"==typeof u&&""!==u||n.isPlainObject(u))?(s("featureidkey"),e._length=Math.min(l.length,c.length),s("below"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":720}],723:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../choropleth/calc"),plot:t("./plot"),hoverPoints:t("../choropleth/hover"),eventData:t("../choropleth/event_data"),selectPoints:t("../choropleth/select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if("string"==typeof i&&0===i.indexOf("water"))for(var a=n+1;a<r.length;a++)if("string"==typeof(i=r[a].id)&&-1===i.indexOf("plotly-"))return i}},moduleType:"trace",name:"choroplethmapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","noOpacity","showLegend"],meta:{hr_name:"choropleth_mapbox"}}},{"../../plots/mapbox":608,"../choropleth/calc":712,"../choropleth/event_data":714,"../choropleth/hover":715,"../choropleth/select":718,"../heatmap/colorbar":790,"./attributes":720,"./defaults":722,"./plot":724}],724:[function(t,e,r){"use strict";var n=t("./convert").convert,i=t("./convert").convertOnSelect,a=t("../../plots/mapbox/constants").traceLayerPrefix;function o(t,e){this.type="choroplethmapbox",this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["fill",a+e+"-fill"],["line",a+e+"-line"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t))},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,"setLayoutProperty",l.layout),"visible"===l.layout.visibility&&e.setOptions(s,"setPaintProperty",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(a,{type:"geojson",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},{"../../plots/mapbox/constants":606,"./convert":721}],725:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},sizemode:{valType:"enumerated",values:["scaled","absolute"],editType:"calc",dflt:"scaled"},sizeref:{valType:"number",editType:"calc",min:0},anchor:{valType:"enumerated",editType:"calc",values:["tip","tail","cm","center"],dflt:"cm"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["norm"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w norm",showScaleDflt:!0,editTypeOverride:"calc"}));["opacity","lightposition","lighting"].forEach((function(t){c[t]=o[t]})),c.hoverinfo=l({},s.hoverinfo,{editType:"calc",flags:["x","y","z","u","v","w","norm","text","name"],dflt:"x+y+z+norm+text+name"}),c.transforms=void 0,e.exports=c},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../mesh3d/attributes":862}],726:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){for(var r=e.u,i=e.v,a=e.w,o=Math.min(e.x.length,e.y.length,e.z.length,r.length,i.length,a.length),s=-1/0,l=1/0,c=0;c<o;c++){var u=r[c],f=i[c],h=a[c],p=Math.sqrt(u*u+f*f+h*h);s=Math.max(s,p),l=Math.min(l,p)}e._len=o,e._normMax=s,n(t,e,{vals:[l,s],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369}],727:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_cone3d,i=t("../../../stackgl_modules").gl_cone3d.createConeMesh,a=t("../../lib").simpleMap,o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3");function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&&void 0!==l[e]?t.textLabel=l[e]:l&&(t.textLabel=l),!0}};var f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,"xaxis"),u(e.v,"yaxis"),u(e.w,"zaxis"),e._len),c.positions=l(u(e.x,"xaxis"),u(e.y,"yaxis"),u(e.z,"zaxis"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],"scaled"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var m=n(c),g=e.lightposition;return m.lightPosition=[g.x,g.y,g.z],m.ambient=e.lighting.ambient,m.diffuse=e.lighting.diffuse,m.specular=e.lighting.specular,m.roughness=e.lighting.roughness,m.fresnel=e.lighting.fresnel,m.opacity=e.opacity,e._pad=p[e.anchor]*m.vectorScale*m.coneScale*e._normMax,m}u.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/gl3d/zip3":604}],728:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("sizeref"),s("sizemode"),s("anchor"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":725}],729:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"cone",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),eventData:function(t,e){return t.norm=e.traceCoordinate[6],t},meta:{}}},{"../../plots/gl3d":593,"./attributes":725,"./calc":726,"./convert":727,"./defaults":728}],730:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../scatter/attributes"),a=t("../../plots/cartesian/axis_format_attributes"),o=a.axisHoverFormat,s=a.descriptionOnlyNumbers,l=t("../../components/colorscale/attributes"),c=t("../../components/drawing/attributes").dash,u=t("../../plots/font_attributes"),f=t("../../lib/extend").extendFlat,h=t("../../constants/filter_ops"),p=h.COMPARISON_OPS2,d=h.INTERVAL_OPS,m=i.line;e.exports=f({z:n.z,x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,hovertext:n.hovertext,transpose:n.transpose,xtype:n.xtype,ytype:n.ytype,xhoverformat:o("x"),yhoverformat:o("y"),zhoverformat:o("z",1),hovertemplate:n.hovertemplate,texttemplate:f({},n.texttemplate,{}),textfont:f({},n.textfont,{}),hoverongaps:n.hoverongaps,connectgaps:f({},n.connectgaps,{}),fillcolor:{valType:"color",editType:"calc"},autocontour:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"contours.start":void 0,"contours.end":void 0,"contours.size":void 0}},ncontours:{valType:"integer",dflt:15,min:1,editType:"calc"},contours:{type:{valType:"enumerated",values:["levels","constraint"],dflt:"levels",editType:"calc"},start:{valType:"number",dflt:null,editType:"plot",impliedEdits:{"^autocontour":!1}},end:{valType:"number",dflt:null,editType:"plot",impliedEdits:{"^autocontour":!1}},size:{valType:"number",dflt:null,min:0,editType:"plot",impliedEdits:{"^autocontour":!1}},coloring:{valType:"enumerated",values:["fill","heatmap","lines","none"],dflt:"fill",editType:"calc"},showlines:{valType:"boolean",dflt:!0,editType:"plot"},showlabels:{valType:"boolean",dflt:!1,editType:"plot"},labelfont:u({editType:"plot",colorEditType:"style"}),labelformat:{valType:"string",dflt:"",editType:"plot",description:s("contour label")},operation:{valType:"enumerated",values:[].concat(p).concat(d),dflt:"=",editType:"calc"},value:{valType:"any",dflt:0,editType:"calc"},editType:"calc",impliedEdits:{autocontour:!1}},line:{color:f({},m.color,{editType:"style+colorbars"}),width:{valType:"number",min:0,editType:"style+colorbars"},dash:c,smoothing:f({},m.smoothing,{}),editType:"plot"}},l("",{cLetter:"z",autoColorDflt:!1,editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":368,"../../components/drawing/attributes":382,"../../constants/filter_ops":470,"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../../plots/font_attributes":580,"../heatmap/attributes":787,"../scatter/attributes":922}],731:[function(t,e,r){"use strict";var n=t("../../components/colorscale"),i=t("../heatmap/calc"),a=t("./set_contours"),o=t("./end_plus");e.exports=function(t,e){var r=i(t,e),s=r[0].z;a(e,s);var l,c=e.contours,u=n.extractOpts(e);if("heatmap"===c.coloring&&u.auto&&!1===e.autocontour){var f=c.start,h=o(c),p=c.size||1,d=Math.floor((h-f)/p)+1;isFinite(p)||(p=1,d=1);var m=f-p/2;l=[m,m+d*p]}else l=s;return n.calc(t,e,{vals:l,cLetter:"z"}),r}},{"../../components/colorscale":373,"../heatmap/calc":788,"./end_plus":741,"./set_contours":749}],732:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n=t[0],i=n.z;switch(e.type){case"levels":var a=Math.min(i[0][0],i[0][1]);for(r=0;r<t.length;r++){var o=t[r];o.prefixBoundary=!o.edgepaths.length&&(a>o.level||o.starts.length&&a===o.level)}break;case"constraint":if(n.prefixBoundary=!1,n.edgepaths.length)return;var s=n.x.length,l=n.y.length,c=-1/0,u=1/0;for(r=0;r<l;r++)u=Math.min(u,i[r][0]),u=Math.min(u,i[r][s-1]),c=Math.max(c,i[r][0]),c=Math.max(c,i[r][s-1]);for(r=1;r<s-1;r++)u=Math.min(u,i[0][r]),u=Math.min(u,i[l-1][r]),c=Math.max(c,i[0][r]),c=Math.max(c,i[l-1][r]);var f,h,p=e.value;switch(e._operation){case">":p>c&&(n.prefixBoundary=!0);break;case"<":(p<u||n.starts.length&&p===u)&&(n.prefixBoundary=!0);break;case"[]":f=Math.min(p[0],p[1]),((h=Math.max(p[0],p[1]))<u||f>c||n.starts.length&&h===u)&&(n.prefixBoundary=!0);break;case"][":f=Math.min(p[0],p[1]),h=Math.max(p[0],p[1]),f<u&&h>c&&(n.prefixBoundary=!0)}}}},{}],733:[function(t,e,r){"use strict";var n=t("../../components/colorscale"),i=t("./make_color_map"),a=t("./end_plus");e.exports={min:"zmin",max:"zmax",calc:function(t,e,r){var o=e.contours,s=e.line,l=o.size||1,c=o.coloring,u=i(e,{isColorbar:!0});if("heatmap"===c){var f=n.extractOpts(e);r._fillgradient=f.reversescale?n.flipScale(f.colorscale):f.colorscale,r._zrange=[f.min,f.max]}else"fill"===c&&(r._fillcolor=u);r._line={color:"lines"===c?u:s.color,width:!1!==o.showlines?s.width:0,dash:s.dash},r._levels={start:o.start,end:a(o),size:l}}}},{"../../components/colorscale":373,"./end_plus":741,"./make_color_map":746}],734:[function(t,e,r){"use strict";e.exports={BOTTOMSTART:[1,9,13,104,713],TOPSTART:[4,6,7,104,713],LEFTSTART:[8,12,14,208,1114],RIGHTSTART:[2,3,11,208,1114],NEWDELTA:[null,[-1,0],[0,-1],[-1,0],[1,0],null,[0,-1],[-1,0],[0,1],[0,1],null,[0,1],[1,0],[1,0],[0,-1]],CHOOSESADDLE:{104:[4,1],208:[2,8],713:[7,13],1114:[11,14]},SADDLEREMAINDER:{1:4,2:8,4:1,7:13,8:2,11:14,13:7,14:11},LABELDISTANCE:2,LABELINCREASE:10,LABELMIN:3,LABELMAX:10,LABELOPTIMIZER:{EDGECOST:1,ANGLECOST:1,NEIGHBORCOST:5,SAMELEVELFACTOR:10,SAMELEVELDISTANCE:5,MAXCOST:100,INITIALSEARCHPOINTS:10,ITERATIONS:5}}},{}],735:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./label_defaults"),a=t("../../components/color"),o=a.addOpacity,s=a.opacity,l=t("../../constants/filter_ops"),c=l.CONSTRAINT_REDUCTION,u=l.COMPARISON_OPS2;e.exports=function(t,e,r,a,l,f){var h,p,d,m=e.contours,g=r("contours.operation");(m._operation=c[g],function(t,e){var r;-1===u.indexOf(e.operation)?(t("contours.value",[0,1]),Array.isArray(e.value)?e.value.length>2?e.value=e.value.slice(2):0===e.length?e.value=[0,1]:e.length<2?(r=parseFloat(e.value[0]),e.value=[r,r+1]):e.value=[parseFloat(e.value[0]),parseFloat(e.value[1])]:n(e.value)&&(r=parseFloat(e.value),e.value=[r,r+1])):(t("contours.value",0),n(e.value)||(Array.isArray(e.value)?e.value=parseFloat(e.value[0]):e.value=0))}(r,m),"="===g?h=m.showlines=!0:(h=r("contours.showlines"),d=r("fillcolor",o((t.line||{}).color||l,.5))),h)&&(p=r("line.color",d&&s(d)?o(e.fillcolor,1):l),r("line.width",2),r("line.dash"));r("line.smoothing"),i(r,a,p,f)}},{"../../components/color":361,"../../constants/filter_ops":470,"./label_defaults":745,"fast-isnumeric":185}],736:[function(t,e,r){"use strict";var n=t("../../constants/filter_ops"),i=t("fast-isnumeric");function a(t,e){var r,a=Array.isArray(e);function o(t){return i(t)?+t:null}return-1!==n.COMPARISON_OPS2.indexOf(t)?r=o(a?e[0]:e):-1!==n.INTERVAL_OPS.indexOf(t)?r=a?[o(e[0]),o(e[1])]:[o(e),o(e)]:-1!==n.SET_OPS.indexOf(t)&&(r=a?e.map(o):[o(e)]),r}function o(t){return function(e){e=a(t,e);var r=Math.min(e[0],e[1]),n=Math.max(e[0],e[1]);return{start:r,end:n,size:n-r}}}function s(t){return function(e){return{start:e=a(t,e),end:1/0,size:1/0}}}e.exports={"[]":o("[]"),"][":o("]["),">":s(">"),"<":s("<"),"=":s("=")}},{"../../constants/filter_ops":470,"fast-isnumeric":185}],737:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i=n("contours.start"),a=n("contours.end"),o=!1===i||!1===a,s=r("contours.size");!(o?e.autocontour=!0:r("autocontour",!1))&&s||r("ncontours")}},{}],738:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return n.extendFlat({},t,{edgepaths:n.extendDeep([],t.edgepaths),paths:n.extendDeep([],t.paths),starts:n.extendDeep([],t.starts)})}e.exports=function(t,e){var r,a,o,s=function(t){return t.reverse()},l=function(t){return t};switch(e){case"=":case"<":return t;case">":for(1!==t.length&&n.warn("Contour data invalid for the specified inequality operation."),a=t[0],r=0;r<a.edgepaths.length;r++)a.edgepaths[r]=s(a.edgepaths[r]);for(r=0;r<a.paths.length;r++)a.paths[r]=s(a.paths[r]);for(r=0;r<a.starts.length;r++)a.starts[r]=s(a.starts[r]);return t;case"][":var c=s;s=l,l=c;case"[]":for(2!==t.length&&n.warn("Contour data invalid for the specified inequality range operation."),a=i(t[0]),o=i(t[1]),r=0;r<a.edgepaths.length;r++)a.edgepaths[r]=s(a.edgepaths[r]);for(r=0;r<a.paths.length;r++)a.paths[r]=s(a.paths[r]);for(r=0;r<a.starts.length;r++)a.starts[r]=s(a.starts[r]);for(;o.edgepaths.length;)a.edgepaths.push(l(o.edgepaths.shift()));for(;o.paths.length;)a.paths.push(l(o.paths.shift()));for(;o.starts.length;)a.starts.push(l(o.starts.shift()));return[a]}}},{"../../lib":498}],739:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("../scatter/period_defaults"),o=t("./constraint_defaults"),s=t("./contours_defaults"),l=t("./style_defaults"),c=t("../heatmap/label_defaults"),u=t("./attributes");e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}if(i(t,e,h,f)){a(t,e,f,h),h("xhoverformat"),h("yhoverformat"),h("text"),h("hovertext"),h("hoverongaps"),h("hovertemplate");var p="constraint"===h("contours.type");h("connectgaps",n.isArray1D(e.z)),p?o(t,e,h,f,r):(s(t,e,h,(function(r){return n.coerce2(t,e,u,r)})),l(t,e,h,f)),e.contours&&"heatmap"===e.contours.coloring&&c(h,f)}else e.visible=!1}},{"../../lib":498,"../heatmap/label_defaults":797,"../heatmap/xyz_defaults":802,"../scatter/period_defaults":942,"./attributes":730,"./constraint_defaults":735,"./contours_defaults":737,"./style_defaults":751}],740:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constraint_mapping"),a=t("./end_plus");e.exports=function(t,e,r){for(var o="constraint"===t.type?i[t._operation](t.value):t,s=o.size,l=[],c=a(o),u=r.trace._carpetTrace,f=u?{xaxis:u.aaxis,yaxis:u.baxis,x:r.a,y:r.b}:{xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y},h=o.start;h<c;h+=s)if(l.push(n.extendFlat({level:h,crossings:{},starts:[],edgepaths:[],paths:[],z:r.z,smoothing:r.trace.line.smoothing},f)),l.length>1e3){n.warn("Too many contours, clipping at 1000",t);break}return l}},{"../../lib":498,"./constraint_mapping":736,"./end_plus":741}],741:[function(t,e,r){"use strict";e.exports=function(t){return t.end+t.size/1e6}},{}],742:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constants");function a(t,e,r,n){return Math.abs(t[0]-e[0])<r&&Math.abs(t[1]-e[1])<n}function o(t,e,r,o,l){var c,u=e.join(","),f=t.crossings[u],h=function(t,e,r){var n=0,a=0;t>20&&e?208===t||1114===t?n=0===r[0]?1:-1:a=0===r[1]?1:-1:-1!==i.BOTTOMSTART.indexOf(t)?a=1:-1!==i.LEFTSTART.indexOf(t)?n=1:-1!==i.TOPSTART.indexOf(t)?a=-1:n=-1;return[n,a]}(f,r,e),p=[s(t,e,[-h[0],-h[1]])],d=t.z.length,m=t.z[0].length,g=e.slice(),v=h.slice();for(c=0;c<1e4;c++){if(f>20?(f=i.CHOOSESADDLE[f][(h[0]||h[1])<0?0:1],t.crossings[u]=i.SADDLEREMAINDER[f]):delete t.crossings[u],!(h=i.NEWDELTA[f])){n.log("Found bad marching index:",f,e,t.level);break}p.push(s(t,e,h)),e[0]+=h[0],e[1]+=h[1],u=e.join(","),a(p[p.length-1],p[p.length-2],o,l)&&p.pop();var y=h[0]&&(e[0]<0||e[0]>m-2)||h[1]&&(e[1]<0||e[1]>d-2);if(e[0]===g[0]&&e[1]===g[1]&&h[0]===v[0]&&h[1]===v[1]||r&&y)break;f=t.crossings[u]}1e4===c&&n.log("Infinite loop in contour?");var x,b,_,w,T,k,A,M,S,E,L,C,P,I,O,z=a(p[0],p[p.length-1],o,l),D=0,R=.2*t.smoothing,F=[],B=0;for(c=1;c<p.length;c++)C=p[c],P=p[c-1],I=void 0,O=void 0,I=C[2]-P[2],O=C[3]-P[3],D+=A=Math.sqrt(I*I+O*O),F.push(A);var N=D/F.length*R;function j(t){return p[t%p.length]}for(c=p.length-2;c>=B;c--)if((x=F[c])<N){for(_=0,b=c-1;b>=B&&x+F[b]<N;b--)x+=F[b];if(z&&c===p.length-2)for(_=0;_<b&&x+F[_]<N;_++)x+=F[_];T=c-b+_+1,k=Math.floor((c+b+_+2)/2),w=z||c!==p.length-2?z||-1!==b?T%2?j(k):[(j(k)[0]+j(k+1)[0])/2,(j(k)[1]+j(k+1)[1])/2]:p[0]:p[p.length-1],p.splice(b+1,c-b+1,w),c=b+1,_&&(B=_),z&&(c===p.length-2?p[_]=p[p.length-1]:0===c&&(p[p.length-1]=p[0]))}for(p.splice(0,B),c=0;c<p.length;c++)p[c].length=2;if(!(p.length<2))if(z)p.pop(),t.paths.push(p);else{r||n.log("Unclosed interior contour?",t.level,g.join(","),p.join("L"));var U=!1;for(M=0;M<t.edgepaths.length;M++)if(E=t.edgepaths[M],!U&&a(E[0],p[p.length-1],o,l)){p.pop(),U=!0;var V=!1;for(S=0;S<t.edgepaths.length;S++)if(a((L=t.edgepaths[S])[L.length-1],p[0],o,l)){V=!0,p.shift(),t.edgepaths.splice(M,1),S===M?t.paths.push(p.concat(L)):(S>M&&S--,t.edgepaths[S]=L.concat(p,E));break}V||(t.edgepaths[M]=p.concat(E))}for(M=0;M<t.edgepaths.length&&!U;M++)a((E=t.edgepaths[M])[E.length-1],p[0],o,l)&&(p.shift(),t.edgepaths[M]=E.concat(p),U=!0);U||t.edgepaths.push(p)}}function s(t,e,r){var n=e[0]+Math.max(r[0],0),i=e[1]+Math.max(r[1],0),a=t.z[i][n],o=t.xaxis,s=t.yaxis;if(r[1]){var l=(t.level-a)/(t.z[i][n+1]-a),c=(1!==l?(1-l)*o.c2l(t.x[n]):0)+(0!==l?l*o.c2l(t.x[n+1]):0);return[o.c2p(o.l2c(c),!0),s.c2p(t.y[i],!0),n+l,i]}var u=(t.level-a)/(t.z[i+1][n]-a),f=(1!==u?(1-u)*s.c2l(t.y[i]):0)+(0!==u?u*s.c2l(t.y[i+1]):0);return[o.c2p(t.x[n],!0),s.c2p(s.l2c(f),!0),n,i+u]}e.exports=function(t,e,r){var i,a,s,l;for(e=e||.01,r=r||.01,a=0;a<t.length;a++){for(s=t[a],l=0;l<s.starts.length;l++)o(s,s.starts[l],"edge",e,r);for(i=0;Object.keys(s.crossings).length&&i<1e4;)i++,o(s,Object.keys(s.crossings)[0].split(",").map(Number),void 0,e,r);1e4===i&&n.log("Infinite loop in contour?")}}},{"../../lib":498,"./constants":734}],743:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../heatmap/hover");e.exports=function(t,e,r,a,o){o||(o={}),o.isContour=!0;var s=i(t,e,r,a,o);return s&&s.forEach((function(t){var e=t.trace;"constraint"===e.contours.type&&(e.fillcolor&&n.opacity(e.fillcolor)?t.color=n.addOpacity(e.fillcolor,1):e.contours.showlines&&n.opacity(e.line.color)&&(t.color=n.addOpacity(e.line.color,1)))})),s}},{"../../components/color":361,"../heatmap/hover":794}],744:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot").plot,style:t("./style"),colorbar:t("./colorbar"),hoverPoints:t("./hover"),moduleType:"trace",name:"contour",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","contour","showLegend"],meta:{}}},{"../../plots/cartesian":563,"./attributes":730,"./calc":731,"./colorbar":733,"./defaults":739,"./hover":743,"./plot":748,"./style":750}],745:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r,i){if(i||(i={}),t("contours.showlabels")){var a=e.font;n.coerceFont(t,"contours.labelfont",{family:a.family,size:a.size,color:r}),t("contours.labelformat")}!1!==i.hasHover&&t("zhoverformat")}},{"../../lib":498}],746:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/colorscale"),a=t("./end_plus");e.exports=function(t){var e=t.contours,r=e.start,o=a(e),s=e.size||1,l=Math.floor((o-r)/s)+1,c="lines"===e.coloring?0:1,u=i.extractOpts(t);isFinite(s)||(s=1,l=1);var f,h,p=u.reversescale?i.flipScale(u.colorscale):u.colorscale,d=p.length,m=new Array(d),g=new Array(d);if("heatmap"===e.coloring){var v=u.min,y=u.max;for(h=0;h<d;h++)f=p[h],m[h]=f[0]*(y-v)+v,g[h]=f[1];var x=n.extent([v,y,e.start,e.start+s*(l-1)]),b=x[v<y?0:1],_=x[v<y?1:0];b!==v&&(m.splice(0,0,b),g.splice(0,0,g[0])),_!==y&&(m.push(_),g.push(g[g.length-1]))}else for(h=0;h<d;h++)f=p[h],m[h]=(f[0]*(l+c-1)-c/2)*s+r,g[h]=f[1];return i.makeColorScaleFunc({domain:m,range:g},{noNumericCheck:!0})}},{"../../components/colorscale":373,"./end_plus":741,"@plotly/d3":58}],747:[function(t,e,r){"use strict";var n=t("./constants");function i(t,e){var r=(e[0][0]>t?0:1)+(e[0][1]>t?0:2)+(e[1][1]>t?0:4)+(e[1][0]>t?0:8);return 5===r||10===r?t>(e[0][0]+e[0][1]+e[1][0]+e[1][1])/4?5===r?713:1114:5===r?104:208:15===r?0:r}e.exports=function(t){var e,r,a,o,s,l,c,u,f,h=t[0].z,p=h.length,d=h[0].length,m=2===p||2===d;for(r=0;r<p-1;r++)for(o=[],0===r&&(o=o.concat(n.BOTTOMSTART)),r===p-2&&(o=o.concat(n.TOPSTART)),e=0;e<d-1;e++)for(a=o.slice(),0===e&&(a=a.concat(n.LEFTSTART)),e===d-2&&(a=a.concat(n.RIGHTSTART)),s=e+","+r,l=[[h[r][e],h[r][e+1]],[h[r+1][e],h[r+1][e+1]]],f=0;f<t.length;f++)(c=i((u=t[f]).level,l))&&(u.crossings[s]=c,-1!==a.indexOf(c)&&(u.starts.push([e,r]),m&&-1!==a.indexOf(c,a.indexOf(c)+1)&&u.starts.push([e,r])))}},{"./constants":734}],748:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../components/colorscale"),s=t("../../lib/svg_text_utils"),l=t("../../plots/cartesian/axes"),c=t("../../plots/cartesian/set_convert"),u=t("../heatmap/plot"),f=t("./make_crossings"),h=t("./find_all_paths"),p=t("./empty_pathinfo"),d=t("./convert_to_constraints"),m=t("./close_boundaries"),g=t("./constants"),v=g.LABELOPTIMIZER;function y(t,e){var r,n,o,s,l,c,u,f="",h=0,p=t.edgepaths.map((function(t,e){return e})),d=!0;function m(t){return Math.abs(t[1]-e[2][1])<.01}function g(t){return Math.abs(t[0]-e[0][0])<.01}function v(t){return Math.abs(t[0]-e[2][0])<.01}for(;p.length;){for(c=a.smoothopen(t.edgepaths[h],t.smoothing),f+=d?c:c.replace(/^M/,"L"),p.splice(p.indexOf(h),1),r=t.edgepaths[h][t.edgepaths[h].length-1],s=-1,o=0;o<4;o++){if(!r){i.log("Missing end?",h,t);break}for(u=r,Math.abs(u[1]-e[0][1])<.01&&!v(r)?n=e[1]:g(r)?n=e[0]:m(r)?n=e[3]:v(r)&&(n=e[2]),l=0;l<t.edgepaths.length;l++){var y=t.edgepaths[l][0];Math.abs(r[0]-n[0])<.01?Math.abs(r[0]-y[0])<.01&&(y[1]-r[1])*(n[1]-y[1])>=0&&(n=y,s=l):Math.abs(r[1]-n[1])<.01?Math.abs(r[1]-y[1])<.01&&(y[0]-r[0])*(n[0]-y[0])>=0&&(n=y,s=l):i.log("endpt to newendpt is not vert. or horz.",r,n,y)}if(r=n,s>=0)break;f+="L"+n}if(s===t.edgepaths.length){i.log("unclosed perimeter path");break}h=s,(d=-1===p.indexOf(h))&&(h=p[0],f+="Z")}for(h=0;h<t.paths.length;h++)f+=a.smoothclosed(t.paths[h],t.smoothing);return f}function x(t,e,r,n){var a=e.width/2,o=e.height/2,s=t.x,l=t.y,c=t.theta,u=Math.cos(c)*a,f=Math.sin(c)*a,h=(s>n.center?n.right-s:s-n.left)/(u+Math.abs(Math.sin(c)*o)),p=(l>n.middle?n.bottom-l:l-n.top)/(Math.abs(f)+Math.cos(c)*o);if(h<1||p<1)return 1/0;var d=v.EDGECOST*(1/(h-1)+1/(p-1));d+=v.ANGLECOST*c*c;for(var m=s-u,g=l-f,y=s+u,x=l+f,b=0;b<r.length;b++){var _=r[b],w=Math.cos(_.theta)*_.width/2,T=Math.sin(_.theta)*_.width/2,k=2*i.segmentDistance(m,g,y,x,_.x-w,_.y-T,_.x+w,_.y+T)/(e.height+_.height),A=_.level===e.level,M=A?v.SAMELEVELDISTANCE:1;if(k<=M)return 1/0;d+=v.NEIGHBORCOST*(A?v.SAMELEVELFACTOR:1)/(k-M)}return d}function b(t){var e,r,n=t.trace._emptypoints,i=[],a=t.z.length,o=t.z[0].length,s=[];for(e=0;e<o;e++)s.push(1);for(e=0;e<a;e++)i.push(s.slice());for(e=0;e<n.length;e++)i[(r=n[e])[0]][r[1]]=0;return t.zmask=i,i}r.plot=function(t,e,o,s){var l=e.xaxis,c=e.yaxis;i.makeTraceGroups(s,o,"contour").each((function(o){var s=n.select(this),v=o[0],x=v.trace,_=v.x,w=v.y,T=x.contours,k=p(T,e,v),A=i.ensureSingle(s,"g","heatmapcoloring"),M=[];"heatmap"===T.coloring&&(M=[o]),u(t,e,M,A),f(k),h(k);var S=l.c2p(_[0],!0),E=l.c2p(_[_.length-1],!0),L=c.c2p(w[0],!0),C=c.c2p(w[w.length-1],!0),P=[[S,C],[E,C],[E,L],[S,L]],I=k;"constraint"===T.type&&(I=d(k,T._operation)),function(t,e,r){var n=i.ensureSingle(t,"g","contourbg").selectAll("path").data("fill"===r.coloring?[0]:[]);n.enter().append("path"),n.exit().remove(),n.attr("d","M"+e.join("L")+"Z").style("stroke","none")}(s,P,T),function(t,e,r,a){var o="fill"===a.coloring||"constraint"===a.type&&"="!==a._operation,s="M"+r.join("L")+"Z";o&&m(e,a);var l=i.ensureSingle(t,"g","contourfill").selectAll("path").data(o?e:[]);l.enter().append("path"),l.exit().remove(),l.each((function(t){var e=(t.prefixBoundary?s:"")+y(t,r);e?n.select(this).attr("d",e).style("stroke","none"):n.select(this).remove()}))}(s,I,P,T),function(t,e,o,s,l){var c=i.ensureSingle(t,"g","contourlines"),u=!1!==l.showlines,f=l.showlabels,h=u&&f,p=r.createLines(c,u||f,e),d=r.createLineClip(c,h,o,s.trace.uid),m=t.selectAll("g.contourlabels").data(f?[0]:[]);if(m.exit().remove(),m.enter().append("g").classed("contourlabels",!0),f){var v=[],y=[];i.clearLocationCache();var x=r.labelFormatter(o,s),b=a.tester.append("text").attr("data-notex",1).call(a.font,l.labelfont),_=e[0].xaxis,w=e[0].yaxis,T=_._length,k=w._length,A=_.range,M=w.range,S=i.aggNums(Math.min,null,s.x),E=i.aggNums(Math.max,null,s.x),L=i.aggNums(Math.min,null,s.y),C=i.aggNums(Math.max,null,s.y),P=Math.max(_.c2p(S,!0),0),I=Math.min(_.c2p(E,!0),T),O=Math.max(w.c2p(C,!0),0),z=Math.min(w.c2p(L,!0),k),D={};A[0]<A[1]?(D.left=P,D.right=I):(D.left=I,D.right=P),M[0]<M[1]?(D.top=O,D.bottom=z):(D.top=z,D.bottom=O),D.middle=(D.top+D.bottom)/2,D.center=(D.left+D.right)/2,v.push([[D.left,D.top],[D.right,D.top],[D.right,D.bottom],[D.left,D.bottom]]);var R=Math.sqrt(T*T+k*k),F=g.LABELDISTANCE*R/Math.max(1,e.length/g.LABELINCREASE);p.each((function(t){var e=r.calcTextOpts(t.level,x,b,o);n.select(this).selectAll("path").each((function(){var t=i.getVisibleSegment(this,D,e.height/2);if(t&&!(t.len<(e.width+e.height)*g.LABELMIN))for(var n=Math.min(Math.ceil(t.len/F),g.LABELMAX),a=0;a<n;a++){var o=r.findBestTextLocation(this,t,e,y,D);if(!o)break;r.addLabelData(o,e,y,v)}}))})),b.remove(),r.drawLabels(m,y,o,d,h?v:null)}f&&!u&&p.remove()}(s,k,t,v,T),function(t,e,r,n,o){var s=n.trace,l=r._fullLayout._clips,c="clip"+s.uid,u=l.selectAll("#"+c).data(s.connectgaps?[]:[0]);if(u.enter().append("clipPath").classed("contourclip",!0).attr("id",c),u.exit().remove(),!1===s.connectgaps){var p={level:.9,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:n.x,y:n.y,z:b(n),smoothing:0};f([p]),h([p]),m([p],{type:"levels"}),i.ensureSingle(u,"path","").attr("d",(p.prefixBoundary?"M"+o.join("L")+"Z":"")+y(p,o))}else c=null;a.setClipUrl(t,c,r)}(s,e,t,v,P)}))},r.createLines=function(t,e,r){var n=r[0].smoothing,i=t.selectAll("g.contourlevel").data(e?r:[]);if(i.exit().remove(),i.enter().append("g").classed("contourlevel",!0),e){var o=i.selectAll("path.openline").data((function(t){return t.pedgepaths||t.edgepaths}));o.exit().remove(),o.enter().append("path").classed("openline",!0),o.attr("d",(function(t){return a.smoothopen(t,n)})).style("stroke-miterlimit",1).style("vector-effect","non-scaling-stroke");var s=i.selectAll("path.closedline").data((function(t){return t.ppaths||t.paths}));s.exit().remove(),s.enter().append("path").classed("closedline",!0),s.attr("d",(function(t){return a.smoothclosed(t,n)})).style("stroke-miterlimit",1).style("vector-effect","non-scaling-stroke")}return i},r.createLineClip=function(t,e,r,n){var i=e?"clipline"+n:null,o=r._fullLayout._clips.selectAll("#"+i).data(e?[0]:[]);return o.exit().remove(),o.enter().append("clipPath").classed("contourlineclip",!0).attr("id",i),a.setClipUrl(t,i,r),o},r.labelFormatter=function(t,e){var r=t._fullLayout,n=e.trace,i=n.contours,a={type:"linear",_id:"ycontour",showexponent:"all",exponentformat:"B"};if(i.labelformat)a.tickformat=i.labelformat,c(a,r);else{var s=o.extractOpts(n);if(s&&s.colorbar&&s.colorbar._axis)a=s.colorbar._axis;else{if("constraint"===i.type){var u=i.value;Array.isArray(u)?a.range=[u[0],u[u.length-1]]:a.range=[u,u]}else a.range=[i.start,i.end],a.nticks=(i.end-i.start)/i.size;a.range[0]===a.range[1]&&(a.range[1]+=a.range[0]||1),a.nticks||(a.nticks=1e3),c(a,r),l.prepTicks(a),a._tmin=null,a._tmax=null}}return function(t){return l.tickText(a,t).text}},r.calcTextOpts=function(t,e,r,n){var i=e(t);r.text(i).call(s.convertToTspans,n);var o=r.node(),l=a.bBox(o,!0);return{text:i,width:l.width,height:l.height,fontSize:+o.style["font-size"].replace("px",""),level:t,dy:(l.top+l.bottom)/2}},r.findBestTextLocation=function(t,e,r,n,a){var o,s,l,c,u,f=r.width;e.isClosed?(s=e.len/v.INITIALSEARCHPOINTS,o=e.min+s/2,l=e.max):(s=(e.len-f)/(v.INITIALSEARCHPOINTS+1),o=e.min+s+f/2,l=e.max-(s+f)/2);for(var h=1/0,p=0;p<v.ITERATIONS;p++){for(var d=o;d<l;d+=s){var m=i.getTextLocation(t,e.total,d,f),g=x(m,r,n,a);g<h&&(h=g,u=m,c=d)}if(h>2*v.MAXCOST)break;p&&(s/=2),l=(o=c-s/2)+1.5*s}if(h<=v.MAXCOST)return u},r.addLabelData=function(t,e,r,n){var i=e.fontSize,a=e.width+i/3,o=Math.max(0,e.height-i/3),s=t.x,l=t.y,c=t.theta,u=Math.sin(c),f=Math.cos(c),h=function(t,e){return[s+t*f-e*u,l+t*u+e*f]},p=[h(-a/2,-o/2),h(-a/2,o/2),h(a/2,o/2),h(a/2,-o/2)];r.push({text:e.text,x:s,y:l,dy:e.dy,theta:c,level:e.level,width:a,height:o}),n.push(p)},r.drawLabels=function(t,e,r,a,o){var l=t.selectAll("text").data(e,(function(t){return t.text+","+t.x+","+t.y+","+t.theta}));if(l.exit().remove(),l.enter().append("text").attr({"data-notex":1,"text-anchor":"middle"}).each((function(t){var e=t.x+Math.sin(t.theta)*t.dy,i=t.y-Math.cos(t.theta)*t.dy;n.select(this).text(t.text).attr({x:e,y:i,transform:"rotate("+180*t.theta/Math.PI+" "+e+" "+i+")"}).call(s.convertToTspans,r)})),o){for(var c="",u=0;u<o.length;u++)c+="M"+o[u].join("L")+"Z";i.ensureSingle(a,"path","").attr("d",c)}}},{"../../components/colorscale":373,"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../plots/cartesian/set_convert":571,"../heatmap/plot":799,"./close_boundaries":732,"./constants":734,"./convert_to_constraints":738,"./empty_pathinfo":740,"./find_all_paths":742,"./make_crossings":747,"@plotly/d3":58}],749:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib");function a(t,e,r){var i={type:"linear",range:[t,e]};return n.autoTicks(i,(e-t)/(r||15)),i}e.exports=function(t,e){var r=t.contours;if(t.autocontour){var o=t.zmin,s=t.zmax;(t.zauto||void 0===o)&&(o=i.aggNums(Math.min,null,e)),(t.zauto||void 0===s)&&(s=i.aggNums(Math.max,null,e));var l=a(o,s,t.ncontours);r.size=l.dtick,r.start=n.tickFirst(l),l.range.reverse(),r.end=n.tickFirst(l),r.start===o&&(r.start+=r.size),r.end===s&&(r.end-=r.size),r.start>r.end&&(r.start=r.end=(r.start+r.end)/2),t._input.contours||(t._input.contours={}),i.extendFlat(t._input.contours,{start:r.start,end:r.end,size:r.size}),t._input.autocontour=!0}else if("constraint"!==r.type){var c,u=r.start,f=r.end,h=t._input.contours;if(u>f&&(r.start=h.start=f,f=r.end=h.end=u,u=r.start),!(r.size>0))c=u===f?1:a(u,f,t.ncontours).dtick,h.size=r.size=c}}},{"../../lib":498,"../../plots/cartesian/axes":549}],750:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../heatmap/style"),o=t("./make_color_map");e.exports=function(t){var e=n.select(t).selectAll("g.contour");e.style("opacity",(function(t){return t[0].trace.opacity})),e.each((function(t){var e=n.select(this),r=t[0].trace,a=r.contours,s=r.line,l=a.size||1,c=a.start,u="constraint"===a.type,f=!u&&"lines"===a.coloring,h=!u&&"fill"===a.coloring,p=f||h?o(r):null;e.selectAll("g.contourlevel").each((function(t){n.select(this).selectAll("path").call(i.lineGroupStyle,s.width,f?p(t.level):s.color,s.dash)}));var d=a.labelfont;if(e.selectAll("g.contourlabels text").each((function(t){i.font(n.select(this),{family:d.family,size:d.size,color:d.color||(f?p(t.level):s.color)})})),u)e.selectAll("g.contourfill path").style("fill",r.fillcolor);else if(h){var m;e.selectAll("g.contourfill path").style("fill",(function(t){return void 0===m&&(m=t.level),p(t.level+.5*l)})),void 0===m&&(m=c),e.selectAll("g.contourbg path").style("fill",p(m-.5*l))}})),a(t)}},{"../../components/drawing":383,"../heatmap/style":800,"./make_color_map":746,"@plotly/d3":58}],751:[function(t,e,r){"use strict";var n=t("../../components/colorscale/defaults"),i=t("./label_defaults");e.exports=function(t,e,r,a,o){var s,l=r("contours.coloring"),c="";"fill"===l&&(s=r("contours.showlines")),!1!==s&&("lines"!==l&&(c=r("line.color","#000")),r("line.width",.5),r("line.dash")),"none"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:"",cLetter:"z"})),r("line.smoothing"),i(r,a,c,o)}},{"../../components/colorscale/defaults":371,"./label_defaults":745}],752:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../contour/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat,s=i.contours;e.exports=o({carpet:{valType:"string",editType:"calc"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:"enumerated",values:["fill","lines","none"],dflt:"fill",editType:"calc"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:"calc",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},transforms:void 0},a("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../contour/attributes":730,"../heatmap/attributes":787}],753:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../../lib"),a=t("../heatmap/convert_column_xyz"),o=t("../heatmap/clean_2d_array"),s=t("../heatmap/interp2d"),l=t("../heatmap/find_empties"),c=t("../heatmap/make_bound_array"),u=t("./defaults"),f=t("../carpet/lookup_carpetid"),h=t("../contour/set_contours");e.exports=function(t,e){var r=e._carpetTrace=f(t,e);if(r&&r.visible&&"legendonly"!==r.visible){if(!e.a||!e.b){var p=t.data[r.index],d=t.data[e.index];d.a||(d.a=p.a),d.b||(d.b=p.b),u(d,e,e._defaultColor,t._fullLayout)}var m=function(t,e){var r,u,f,h,p,d,m,g=e._carpetTrace,v=g.aaxis,y=g.baxis;v._minDtick=0,y._minDtick=0,i.isArray1D(e.z)&&a(e,v,y,"a","b",["z"]);r=e._a=e._a||e.a,h=e._b=e._b||e.b,r=r?v.makeCalcdata(e,"_a"):[],h=h?y.makeCalcdata(e,"_b"):[],u=e.a0||0,f=e.da||1,p=e.b0||0,d=e.db||1,m=e._z=o(e._z||e.z,e.transpose),e._emptypoints=l(m),s(m,e._emptypoints);var x=i.maxRowLength(m),b="scaled"===e.xtype?"":r,_=c(e,b,u,f,x,v),w="scaled"===e.ytype?"":h,T=c(e,w,p,d,m.length,y),k={a:_,b:T,z:m};"levels"===e.contours.type&&"none"!==e.contours.coloring&&n(t,e,{vals:m,containerStr:"",cLetter:"z"});return[k]}(t,e);return h(e,e._z),m}}},{"../../components/colorscale/calc":369,"../../lib":498,"../carpet/lookup_carpetid":703,"../contour/set_contours":749,"../heatmap/clean_2d_array":789,"../heatmap/convert_column_xyz":791,"../heatmap/find_empties":793,"../heatmap/interp2d":796,"../heatmap/make_bound_array":798,"./defaults":754}],754:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("./attributes"),o=t("../contour/constraint_defaults"),s=t("../contour/contours_defaults"),l=t("../contour/style_defaults");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,a,r,i)}if(u("carpet"),t.a&&t.b){if(!i(t,e,u,c,"a","b"))return void(e.visible=!1);u("text"),"constraint"===u("contours.type")?o(t,e,u,c,r,{hasHover:!1}):(s(t,e,u,(function(r){return n.coerce2(t,e,a,r)})),l(t,e,u,c,{hasHover:!1}))}else e._defaultColor=r,e._length=null}},{"../../lib":498,"../contour/constraint_defaults":735,"../contour/contours_defaults":737,"../contour/style_defaults":751,"../heatmap/xyz_defaults":802,"./attributes":752}],755:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../contour/colorbar"),calc:t("./calc"),plot:t("./plot"),style:t("../contour/style"),moduleType:"trace",name:"contourcarpet",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","carpet","contour","symbols","showLegend","hasLines","carpetDependent","noHover","noSortingByValue"],meta:{}}},{"../../plots/cartesian":563,"../contour/colorbar":733,"../contour/style":750,"./attributes":752,"./calc":753,"./defaults":754,"./plot":756}],756:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../carpet/map_1d_array"),a=t("../carpet/makepath"),o=t("../../components/drawing"),s=t("../../lib"),l=t("../contour/make_crossings"),c=t("../contour/find_all_paths"),u=t("../contour/plot"),f=t("../contour/constants"),h=t("../contour/convert_to_constraints"),p=t("../contour/empty_pathinfo"),d=t("../contour/close_boundaries"),m=t("../carpet/lookup_carpetid"),g=t("../carpet/axis_aligned_line");function v(t,e,r){var n=t.getPointAtLength(e),i=t.getPointAtLength(r),a=i.x-n.x,o=i.y-n.y,s=Math.sqrt(a*a+o*o);return[a/s,o/s]}function y(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]}function x(t,e){var r=Math.abs(t[0]*e[0]+t[1]*e[1]);return Math.sqrt(1-r*r)/r}e.exports=function(t,e,r,b){var _=e.xaxis,w=e.yaxis;s.makeTraceGroups(b,r,"contour").each((function(r){var b=n.select(this),T=r[0],k=T.trace,A=k._carpetTrace=m(t,k),M=t.calcdata[A.index][0];if(A.visible&&"legendonly"!==A.visible){var S=T.a,E=T.b,L=k.contours,C=p(L,e,T),P="constraint"===L.type,I=L._operation,O=P?"="===I?"lines":"fill":L.coloring,z=[[S[0],E[E.length-1]],[S[S.length-1],E[E.length-1]],[S[S.length-1],E[0]],[S[0],E[0]]];l(C);var D=1e-8*(S[S.length-1]-S[0]),R=1e-8*(E[E.length-1]-E[0]);c(C,D,R);var F,B,N,j,U=C;"constraint"===L.type&&(U=h(C,I)),function(t,e){var r,n,i,a,o,s,l,c,u;for(r=0;r<t.length;r++){for(a=t[r],o=a.pedgepaths=[],s=a.ppaths=[],n=0;n<a.edgepaths.length;n++){for(u=a.edgepaths[n],l=[],i=0;i<u.length;i++)l[i]=e(u[i]);o.push(l)}for(n=0;n<a.paths.length;n++){for(u=a.paths[n],c=[],i=0;i<u.length;i++)c[i]=e(u[i]);s.push(c)}}}(C,q);var V=[];for(j=M.clipsegments.length-1;j>=0;j--)F=M.clipsegments[j],B=i([],F.x,_.c2p),N=i([],F.y,w.c2p),B.reverse(),N.reverse(),V.push(a(B,N,F.bicubic));var H="M"+V.join("L")+"Z";!function(t,e,r,n,o,l){var c,u,f,h,p=s.ensureSingle(t,"g","contourbg").selectAll("path").data("fill"!==l||o?[]:[0]);p.enter().append("path"),p.exit().remove();var d=[];for(h=0;h<e.length;h++)c=e[h],u=i([],c.x,r.c2p),f=i([],c.y,n.c2p),d.push(a(u,f,c.bicubic));p.attr("d","M"+d.join("L")+"Z").style("stroke","none")}(b,M.clipsegments,_,w,P,O),function(t,e,r,i,a,l,c,u,f,h,p){var m="fill"===h;m&&d(a,t.contours);var v=s.ensureSingle(e,"g","contourfill").selectAll("path").data(m?a:[]);v.enter().append("path"),v.exit().remove(),v.each((function(t){var e=(t.prefixBoundary?p:"")+function(t,e,r,n,i,a,l,c){var u,f,h,p,d,m,v,y="",x=e.edgepaths.map((function(t,e){return e})),b=!0,_=1e-4*Math.abs(r[0][0]-r[2][0]),w=1e-4*Math.abs(r[0][1]-r[2][1]);function T(t){return Math.abs(t[1]-r[0][1])<w}function k(t){return Math.abs(t[1]-r[2][1])<w}function A(t){return Math.abs(t[0]-r[0][0])<_}function M(t){return Math.abs(t[0]-r[2][0])<_}function S(t,e){var r,n,o,s,u="";for(T(t)&&!M(t)||k(t)&&!A(t)?(s=i.aaxis,o=g(i,a,[t[0],e[0]],.5*(t[1]+e[1]))):(s=i.baxis,o=g(i,a,.5*(t[0]+e[0]),[t[1],e[1]])),r=1;r<o.length;r++)for(u+=s.smoothing?"C":"L",n=0;n<o[r].length;n++){var f=o[r][n];u+=[l.c2p(f[0]),c.c2p(f[1])]+" "}return u}u=0,f=null;for(;x.length;){var E=e.edgepaths[u][0];for(f&&(y+=S(f,E)),v=o.smoothopen(e.edgepaths[u].map(n),e.smoothing),y+=b?v:v.replace(/^M/,"L"),x.splice(x.indexOf(u),1),f=e.edgepaths[u][e.edgepaths[u].length-1],d=-1,p=0;p<4;p++){if(!f){s.log("Missing end?",u,e);break}for(T(f)&&!M(f)?h=r[1]:A(f)?h=r[0]:k(f)?h=r[3]:M(f)&&(h=r[2]),m=0;m<e.edgepaths.length;m++){var L=e.edgepaths[m][0];Math.abs(f[0]-h[0])<_?Math.abs(f[0]-L[0])<_&&(L[1]-f[1])*(h[1]-L[1])>=0&&(h=L,d=m):Math.abs(f[1]-h[1])<w?Math.abs(f[1]-L[1])<w&&(L[0]-f[0])*(h[0]-L[0])>=0&&(h=L,d=m):s.log("endpt to newendpt is not vert. or horz.",f,h,L)}if(d>=0)break;y+=S(f,h),f=h}if(d===e.edgepaths.length){s.log("unclosed perimeter path");break}u=d,(b=-1===x.indexOf(u))&&(u=x[0],y+=S(f,h)+"Z",f=null)}for(u=0;u<e.paths.length;u++)y+=o.smoothclosed(e.paths[u].map(n),e.smoothing);return y}(0,t,l,c,u,f,r,i);e?n.select(this).attr("d",e).style("stroke","none"):n.select(this).remove()}))}(k,b,_,w,U,z,q,A,M,O,H),function(t,e,r,i,a,l,c){var h=s.ensureSingle(t,"g","contourlines"),p=!1!==a.showlines,d=a.showlabels,m=p&&d,g=u.createLines(h,p||d,e),b=u.createLineClip(h,m,r,i.trace.uid),_=t.selectAll("g.contourlabels").data(d?[0]:[]);if(_.exit().remove(),_.enter().append("g").classed("contourlabels",!0),d){var w=l.xaxis,T=l.yaxis,k=w._length,A=T._length,M=[[[0,0],[k,0],[k,A],[0,A]]],S=[];s.clearLocationCache();var E=u.labelFormatter(r,i),L=o.tester.append("text").attr("data-notex",1).call(o.font,a.labelfont),C={left:0,right:k,center:k/2,top:0,bottom:A,middle:A/2},P=Math.sqrt(k*k+A*A),I=f.LABELDISTANCE*P/Math.max(1,e.length/f.LABELINCREASE);g.each((function(t){var e=u.calcTextOpts(t.level,E,L,r);n.select(this).selectAll("path").each((function(r){var n=s.getVisibleSegment(this,C,e.height/2);if(n&&(function(t,e,r,n,i,a){for(var o,s=0;s<r.pedgepaths.length;s++)e===r.pedgepaths[s]&&(o=r.edgepaths[s]);if(!o)return;var l=i.a[0],c=i.a[i.a.length-1],u=i.b[0],f=i.b[i.b.length-1];function h(t,e){var r,n=0;return(Math.abs(t[0]-l)<.1||Math.abs(t[0]-c)<.1)&&(r=y(i.dxydb_rough(t[0],t[1],.1)),n=Math.max(n,a*x(e,r)/2)),(Math.abs(t[1]-u)<.1||Math.abs(t[1]-f)<.1)&&(r=y(i.dxyda_rough(t[0],t[1],.1)),n=Math.max(n,a*x(e,r)/2)),n}var p=v(t,0,1),d=v(t,n.total,n.total-1),m=h(o[0],p),g=n.total-h(o[o.length-1],d);n.min<m&&(n.min=m);n.max>g&&(n.max=g);n.len=n.max-n.min}(this,r,t,n,c,e.height),!(n.len<(e.width+e.height)*f.LABELMIN)))for(var i=Math.min(Math.ceil(n.len/I),f.LABELMAX),a=0;a<i;a++){var o=u.findBestTextLocation(this,n,e,S,C);if(!o)break;u.addLabelData(o,e,S,M)}}))})),L.remove(),u.drawLabels(_,S,r,b,m?M:null)}d&&!p&&g.remove()}(b,C,t,T,L,e,A),o.setClipUrl(b,A._clipPathId,t)}function q(t){var e=A.ab2xy(t[0],t[1],!0);return[_.c2p(e[0]),w.c2p(e[1])]}}))}},{"../../components/drawing":383,"../../lib":498,"../carpet/axis_aligned_line":687,"../carpet/lookup_carpetid":703,"../carpet/makepath":704,"../carpet/map_1d_array":705,"../contour/close_boundaries":732,"../contour/constants":734,"../contour/convert_to_constraints":738,"../contour/empty_pathinfo":740,"../contour/find_all_paths":742,"../contour/make_crossings":747,"../contour/plot":748,"@plotly/d3":58}],757:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/attributes"),o=t("../scattermapbox/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:"data_array",editType:"calc"},radius:{valType:"number",editType:"plot",arrayOk:!0,min:1,dflt:30},below:{valType:"string",editType:"plot"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:["lon","lat","z","text","name"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scattermapbox/attributes":988}],758:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib").isArrayOrTypedArray,a=t("../../constants/numerical").BADNUM,o=t("../../components/colorscale/calc"),s=t("../../lib")._;e.exports=function(t,e){for(var r=e._length,l=new Array(r),c=e.z,u=i(c)&&c.length,f=0;f<r;f++){var h=l[f]={},p=e.lon[f],d=e.lat[f];if(h.lonlat=n(p)&&n(d)?[+p,+d]:[a,a],u){var m=c[f];h.z=n(m)?m:a}}return o(t,e,{vals:u?c:[0,1],containerStr:"",cLetter:"z"}),r&&(l[0].t={labels:{lat:s(t,"lat:")+" ",lon:s(t,"lon:")+" "}}),l}},{"../../components/colorscale/calc":369,"../../constants/numerical":474,"../../lib":498,"fast-isnumeric":185}],759:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../components/color"),o=t("../../components/colorscale"),s=t("../../constants/numerical").BADNUM,l=t("../../lib/geojson_utils").makeBlank;e.exports=function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:"none"},paint:{}},geojson:l()};if(!r)return c;var u,f=[],h=e.z,p=e.radius,d=i.isArrayOrTypedArray(h)&&h.length,m=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var g=t[u],v=g.lonlat;if(v[0]!==s){var y={};if(d){var x=g.z;y.z=x!==s?x:0}m&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),f.push({type:"Feature",geometry:{type:"Point",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=["interpolate",["linear"],["heatmap-density"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=["interpolate",["linear"],["get","z"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{"heatmap-weight":d?k:1/(b.max-b.min),"heatmap-color":T,"heatmap-radius":m?{type:"identity",property:"r"}:e.radius,"heatmap-opacity":e.opacity}),c.geojson={type:"FeatureCollection",features:f},c.heatmap.layout.visibility="visible",c}},{"../../components/color":361,"../../components/colorscale":373,"../../constants/numerical":474,"../../lib":498,"../../lib/geojson_utils":492,"fast-isnumeric":185}],760:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("lon")||[],c=s("lat")||[],u=Math.min(l.length,c.length);u?(e._length=u,s("z"),s("radius"),s("below"),s("text"),s("hovertext"),s("hovertemplate"),i(t,e,o,s,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":757}],761:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},{}],762:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../scattermapbox/hover").hoverPoints,a=t("../scattermapbox/hover").getExtraText;e.exports=function(t,e,r){var o=i(t,e,r);if(o){var s=o[0],l=s.cd,c=l[0].trace,u=l[s.index];if(delete s.color,"z"in u){var f=s.subplot.mockAxis;s.z=u.z,s.zLabel=n.tickText(f,f.c2l(u.z),"hover").text}return s.extraText=a(c,u,l[0].t.labels),[s]}}},{"../../plots/cartesian/axes":549,"../scattermapbox/hover":993}],763:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),formatLabels:t("../scattermapbox/format_labels"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover"),eventData:t("./event_data"),getBelow:function(t,e){for(var r=e.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if("symbol"===i.type&&"string"==typeof a&&-1===a.indexOf("plotly-"))return a}},moduleType:"trace",name:"densitymapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","showLegend"],meta:{hr_name:"density_mapbox"}}},{"../../plots/mapbox":608,"../heatmap/colorbar":790,"../scattermapbox/format_labels":992,"./attributes":757,"./calc":758,"./defaults":760,"./event_data":761,"./hover":762,"./plot":764}],764:[function(t,e,r){"use strict";var n=t("./convert"),i=t("../../plots/mapbox/constants").traceLayerPrefix;function a(t,e){this.type="densitymapbox",this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["heatmap",i+e+"-heatmap"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var s=r[o],l=s[0],c=s[1],u=i[l];e.setOptions(c,"setLayoutProperty",u.layout),"visible"===u.layout.visibility&&e.setOptions(c,"setPaintProperty",u.paint)}},o._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},o._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},o.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new a(t,r.uid),o=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(o,{type:"geojson",data:s.geojson}),i._addLayers(s,l),i}},{"../../plots/mapbox/constants":606,"./convert":759}],765:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.hovertext,t,"htx");var i=e.marker;if(i){n.mergeArray(i.opacity,t,"mo"),n.mergeArray(i.color,t,"mc");var a=i.line;a&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"))}}},{"../../lib":498}],766:[function(t,e,r){"use strict";var n,i=t("../bar/attributes"),a=t("../scatter/attributes").line,o=t("../../plots/attributes"),s=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../plots/template_attributes").texttemplateAttrs,u=t("./constants"),f=t("../../lib/extend").extendFlat,h=t("../../components/color");e.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s("x"),yhoverformat:s("y"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:f({},o.hoverinfo,{flags:["name","x","y","text","percent initial","percent previous","percent total"]}),textinfo:{valType:"flaglist",flags:["label","text","percent initial","percent previous","percent total","value"],extras:["none"],editType:"plot",arrayOk:!1},texttemplate:c({editType:"plot"},{keys:u.eventDataKeys.concat(["label","value"])}),text:i.text,textposition:i.textposition,insidetextanchor:f({},i.insidetextanchor,{dflt:"middle"}),textangle:f({},i.textangle,{dflt:0}),textfont:i.textfont,insidetextfont:i.insidetextfont,outsidetextfont:i.outsidetextfont,constraintext:i.constraintext,cliponaxis:i.cliponaxis,orientation:f({},i.orientation,{}),offset:f({},i.offset,{arrayOk:!1}),width:f({},i.width,{arrayOk:!1}),marker:(n=f({},i.marker),delete n.pattern,n),connector:{fillcolor:{valType:"color",editType:"style"},line:{color:f({},a.color,{dflt:h.defaultLine}),width:f({},a.width,{dflt:0,editType:"plot"}),dash:a.dash,editType:"style"},visible:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},offsetgroup:i.offsetgroup,alignmentgroup:i.alignmentgroup}},{"../../components/color":361,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../bar/attributes":643,"../scatter/attributes":922,"./constants":768}],767:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("./arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../../constants/numerical").BADNUM;function l(t){return t===s?0:t}e.exports=function(t,e){var r,c,u,f,h,p,d,m,g=n.getFromId(t,e.xaxis||"x"),v=n.getFromId(t,e.yaxis||"y");"h"===e.orientation?(r=g.makeCalcdata(e,"x"),u=v.makeCalcdata(e,"y"),f=i(e,v,"y",u),h=!!e.yperiodalignment,p="y"):(r=v.makeCalcdata(e,"y"),u=g.makeCalcdata(e,"x"),f=i(e,g,"x",u),h=!!e.xperiodalignment,p="x"),c=f.vals;var y,x=Math.min(c.length,r.length),b=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var _=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(_=!0),m=b[d]={p:c[d],s:r[d],cNext:_},e._base[d]=-.5*m.s,h&&(b[d].orig_p=u[d],b[d][p+"End"]=f.ends[d],b[d][p+"Start"]=f.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(b[0].vTotal=0),b[0].vTotal+=l(m.s),m.begR=l(m.s)/l(b[0].s)}for(d=0;d<x;d++)(m=b[d]).s!==s&&(m.sumR=m.s/b[0].vTotal,m.difR=void 0!==y?m.s/y:1,y=m.s);return a(b,e),o(b,e),b}},{"../../constants/numerical":474,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"../scatter/calc_selection":924,"./arrays_to_calcdata":765}],768:[function(t,e,r){"use strict";e.exports={eventDataKeys:["percentInitial","percentPrevious","percentTotal"]}},{}],769:[function(t,e,r){"use strict";var n=t("../bar/cross_trace_calc").setGroupPositions;e.exports=function(t,e){var r,i,a=t._fullLayout,o=t._fullData,s=t.calcdata,l=e.xaxis,c=e.yaxis,u=[],f=[],h=[];for(i=0;i<o.length;i++){var p=o[i],d="h"===p.orientation;!0===p.visible&&p.xaxis===l._id&&p.yaxis===c._id&&"funnel"===p.type&&(r=s[i],d?h.push(r):f.push(r),u.push(r))}var m={mode:a.funnelmode,norm:a.funnelnorm,gap:a.funnelgap,groupgap:a.funnelgroupgap};for(n(t,l,c,f,m),n(t,c,l,h,m),i=0;i<u.length;i++){r=u[i];for(var g=0;g<r.length;g++)g+1<r.length&&(r[g].nextP0=r[g+1].p0,r[g].nextS0=r[g+1].s0,r[g].nextP1=r[g+1].p1,r[g].nextS1=r[g+1].s1)}}},{"../bar/cross_trace_calc":646}],770:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../bar/defaults").handleGroupingDefaults,a=t("../bar/defaults").handleText,o=t("../scatter/xy_defaults"),s=t("../scatter/period_defaults"),l=t("./attributes"),c=t("../../components/color");e.exports={supplyDefaults:function(t,e,r,i){function u(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,u)){s(t,e,i,u),u("xhoverformat"),u("yhoverformat"),u("orientation",e.y&&!e.x?"v":"h"),u("offset"),u("width");var f=u("text");u("hovertext"),u("hovertemplate");var h=u("textposition");a(t,e,i,u,h,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),"none"===e.textposition||e.texttemplate||u("textinfo",Array.isArray(f)?"text+value":"value");var p=u("marker.color",r);if(u("marker.line.color",c.defaultLine),u("marker.line.width"),u("connector.visible"))u("connector.fillcolor",function(t){var e=n.isArrayOrTypedArray(t)?"#000":t;return c.addOpacity(e,.5*c.opacity(e))}(p)),u("connector.line.width")&&(u("connector.line.color"),u("connector.line.dash"))}else e.visible=!1},crossTraceDefaults:function(t,e){var r,a;function o(t){return n.coerce(a._input,a,l,t)}if("group"===e.funnelmode)for(var s=0;s<t.length;s++)r=(a=t[s])._input,i(r,a,e,o)}}},{"../../components/color":361,"../../lib":498,"../bar/defaults":647,"../scatter/period_defaults":942,"../scatter/xy_defaults":949,"./attributes":766}],771:[function(t,e,r){"use strict";e.exports=function(t,e){return t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,"percentInitial"in e&&(t.percentInitial=e.percentInitial),"percentPrevious"in e&&(t.percentPrevious=e.percentPrevious),"percentTotal"in e&&(t.percentTotal=e.percentTotal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],772:[function(t,e,r){"use strict";var n=t("../../components/color").opacity,i=t("../bar/hover").hoverOnBars,a=t("../../lib").formatPercent;e.exports=function(t,e,r,o,s){var l=i(t,e,r,o,s);if(l){var c=l.cd,u=c[0].trace,f="h"===u.orientation,h=c[l.index];l[(f?"x":"y")+"LabelVal"]=h.s,l.percentInitial=h.begR,l.percentInitialLabel=a(h.begR,1),l.percentPrevious=h.difR,l.percentPreviousLabel=a(h.difR,1),l.percentTotal=h.sumR,l.percentTotalLabel=a(h.sumR,1);var p=h.hi||u.hoverinfo,d=[];if(p&&"none"!==p&&"skip"!==p){var m="all"===p,g=p.split("+"),v=function(t){return m||-1!==g.indexOf(t)};v("percent initial")&&d.push(l.percentInitialLabel+" of initial"),v("percent previous")&&d.push(l.percentPreviousLabel+" of previous"),v("percent total")&&d.push(l.percentTotalLabel+" of total")}return l.extraText=d.join("<br>"),l.color=function(t,e){var r=t.marker,i=e.mc||r.color,a=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(i))return i;if(n(a)&&o)return a}(u,h),[l]}}},{"../../components/color":361,"../../lib":498,"../bar/hover":650}],773:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style").style,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("../bar/select"),moduleType:"trace",name:"funnel",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","oriented","showLegend","zoomScale"],meta:{}}},{"../../plots/cartesian":563,"../bar/select":655,"./attributes":766,"./calc":767,"./cross_trace_calc":769,"./defaults":770,"./event_data":771,"./hover":772,"./layout_attributes":774,"./layout_defaults":775,"./plot":776,"./style":777}],774:[function(t,e,r){"use strict";e.exports={funnelmode:{valType:"enumerated",values:["stack","group","overlay"],dflt:"stack",editType:"calc"},funnelgap:{valType:"number",min:0,max:1,editType:"calc"},funnelgroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],775:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s<r.length;s++){var l=r[s];if(l.visible&&"funnel"===l.type){a=!0;break}}a&&(o("funnelmode"),o("funnelgap",.2),o("funnelgroupgap"))}},{"../../lib":498,"./layout_attributes":774}],776:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../constants/numerical").BADNUM,s=t("../bar/plot"),l=t("../bar/uniform_text").clearMinTextSize;function c(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),i[2]=o.c2p(t.nextS0,!0),a[2]=s.c2p(t.nextP0,!0),i[3]=o.c2p(t.nextS1,!0),a[3]=s.c2p(t.nextP1,!0),n?[i,a]:[a,i]}e.exports=function(t,e,r,u){var f=t._fullLayout;l("funnel",f),function(t,e,r,s){var l=e.xaxis,u=e.yaxis;i.makeTraceGroups(s,r,"trace bars").each((function(r){var s=n.select(this),f=r[0].trace,h=i.ensureSingle(s,"g","regions");if(f.connector&&f.connector.visible){var p="h"===f.orientation,d=h.selectAll("g.region").data(i.identity);d.enter().append("g").classed("region",!0),d.exit().remove();var m=d.size();d.each((function(r,s){if(s===m-1||r.cNext){var f=c(r,l,u,p),h=f[0],d=f[1],g="";h[0]!==o&&d[0]!==o&&h[1]!==o&&d[1]!==o&&h[2]!==o&&d[2]!==o&&h[3]!==o&&d[3]!==o&&(g+=p?"M"+h[0]+","+d[1]+"L"+h[2]+","+d[2]+"H"+h[3]+"L"+h[1]+","+d[1]+"Z":"M"+h[1]+","+d[1]+"L"+h[2]+","+d[3]+"V"+d[2]+"L"+h[1]+","+d[0]+"Z"),""===g&&(g="M0,0Z"),i.ensureSingle(n.select(this),"path").attr("d",g).call(a.setClipUrl,e.layerClipId,t)}}))}else h.remove()}))}(t,e,r,u),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;i.makeTraceGroups(o,r,"trace bars").each((function(r){var o=n.select(this),u=r[0].trace,f=i.ensureSingle(o,"g","lines");if(u.connector&&u.connector.visible&&u.connector.line.width){var h="h"===u.orientation,p=f.selectAll("g.line").data(i.identity);p.enter().append("g").classed("line",!0),p.exit().remove();var d=p.size();p.each((function(r,o){if(o===d-1||r.cNext){var u=c(r,s,l,h),f=u[0],p=u[1],m="";void 0!==f[3]&&void 0!==p[3]&&(h?(m+="M"+f[0]+","+p[1]+"L"+f[2]+","+p[2],m+="M"+f[1]+","+p[1]+"L"+f[3]+","+p[2]):(m+="M"+f[1]+","+p[1]+"L"+f[2]+","+p[3],m+="M"+f[1]+","+p[0]+"L"+f[2]+","+p[2])),""===m&&(m="M0,0Z"),i.ensureSingle(n.select(this),"path").attr("d",m).call(a.setClipUrl,e.layerClipId,t)}}))}else f.remove()}))}(t,e,r,u),s.plot(t,e,r,u,{mode:f.funnelmode,norm:f.funnelmode,gap:f.funnelgap,groupgap:f.funnelgroupgap})}},{"../../components/drawing":383,"../../constants/numerical":474,"../../lib":498,"../bar/plot":654,"../bar/uniform_text":659,"@plotly/d3":58}],777:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color"),o=t("../../constants/interactions").DESELECTDIM,s=t("../bar/style"),l=t("../bar/uniform_text").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,r){var s=r||n.select(t).selectAll("g.funnellayer").selectAll("g.trace");l(t,s,"funnel"),s.style("opacity",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(".point > path").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style("opacity",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(".regions").each((function(){n.select(this).selectAll("path").style("stroke-width",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(".lines").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll("path"),t.width,t.color,t.dash)}))}))}}},{"../../components/color":361,"../../components/drawing":383,"../../constants/interactions":473,"../bar/style":657,"../bar/uniform_text":659,"@plotly/d3":58}],778:[function(t,e,r){"use strict";var n=t("../pie/attributes"),i=t("../../plots/attributes"),a=t("../../plots/domain").attributes,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("../../lib/extend").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:["label","text","value","percent"]}),texttemplate:s({editType:"plot"},{keys:["label","color","value","text","percent"]}),hoverinfo:l({},i.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:o({},{keys:["label","color","value","text","percent"]}),textposition:l({},n.textposition,{values:["inside","none"],dflt:"inside"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:["top left","top center","top right"],dflt:"top center"}),editType:"plot"},domain:a({name:"funnelarea",trace:!0,editType:"calc"}),aspectratio:{valType:"number",min:0,dflt:1,editType:"plot"},baseratio:{valType:"number",min:0,max:1,dflt:.333,editType:"plot"}}},{"../../lib/extend":488,"../../plots/attributes":545,"../../plots/domain":579,"../../plots/template_attributes":628,"../pie/attributes":896}],779:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="funnelarea",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":614}],780:[function(t,e,r){"use strict";var n=t("../pie/calc");e.exports={calc:function(t,e){return n.calc(t,e)},crossTraceCalc:function(t){n.crossTraceCalc(t,{type:"funnelarea"})}}},{"../pie/calc":898}],781:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText,s=t("../pie/defaults").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c("labels"),f=c("values"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),p){e._length=p,c("marker.line.width")&&c("marker.line.color",l.paper_bgcolor),c("marker.colors"),c("scalegroup");var d,m=c("text"),g=c("texttemplate");if(g||(d=c("textinfo",Array.isArray(m)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),g||d&&"none"!==d){var v=c("textposition");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c("title.text")&&(c("title.position"),n.coerceFont(c,"title.font",l.font)),c("aspectratio"),c("baseratio")}else e.visible=!1}},{"../../lib":498,"../../plots/domain":579,"../bar/defaults":647,"../pie/defaults":899,"./attributes":778}],782:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"funnelarea",basePlotModule:t("./base_plot"),categories:["pie-like","funnelarea","showLegend"],attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style"),styleOne:t("../pie/style_one"),meta:{}}},{"../pie/style_one":907,"./attributes":778,"./base_plot":779,"./calc":780,"./defaults":781,"./layout_attributes":783,"./layout_defaults":784,"./plot":785,"./style":786}],783:[function(t,e,r){"use strict";var n=t("../pie/layout_attributes").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:"colorlist",editType:"calc"},extendfunnelareacolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{"../pie/layout_attributes":903}],784:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("funnelareacolorway",e.colorway),r("extendfunnelareacolors")}},{"../../lib":498,"./layout_attributes":783}],785:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../lib"),o=a.strScale,s=a.strTranslate,l=t("../../lib/svg_text_utils"),c=t("../bar/plot").toMoveInsideBar,u=t("../bar/uniform_text"),f=u.recordMinTextSize,h=u.clearMinTextSize,p=t("../pie/helpers"),d=t("../pie/plot"),m=d.attachFxHandlers,g=d.determineInsideTextFont,v=d.layoutAreas,y=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return"l"+(e[0]-t[0])+","+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;h("funnelarea",r),y(e,t),v(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,"trace").each((function(e){var u=n.select(this),h=e[0],d=h.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var f,h,p=[];for(p.push(u()),f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var d=h.v/l;c+=d,p.push(u())}var m=1/0,g=-1/0;for(f=0;f<p.length;f++)a=p[f],m=Math.min(m,a[1]),g=Math.max(g,a[1]);for(f=0;f<p.length;f++)p[f][1]-=(g+m)/2;var v=p[p.length-1][0],y=e.r,x=(g-m)/2,b=y/v,_=y/x*n;for(e.r=_*x,f=0;f<p.length;f++)p[f][0]*=b,p[f][1]*=_;var w=[-(a=p[0])[0],a[1]],T=[a[0],a[1]],k=0;for(f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var A=p[k+=1][0],M=p[k][1];h.TL=[-A,M],h.TR=[A,M],h.BL=w,h.BR=T,h.pxmid=(S=h.TR,E=h.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=h.TL,T=h.TR}var S,E}(e),u.each((function(){var u=n.select(this).selectAll("g.slice").data(e);u.enter().append("g").classed("slice",!0),u.exit().remove(),u.each((function(o,s){if(o.hidden)n.select(this).selectAll("path,g").remove();else{o.pointNumber=o.i,o.curveNumber=d.index;var u=h.cx,v=h.cy,y=n.select(this),x=y.selectAll("path.surface").data([o]);x.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),y.call(m,t,e);var w="M"+(u+o.TR[0])+","+(v+o.TR[1])+_(o.TR,o.BR)+_(o.BR,o.BL)+_(o.BL,o.TL)+"Z";x.attr("d",w),b(t,o,h);var T=p.castOption(d.textposition,o.pts),k=y.selectAll("g.slicetext").data(o.text&&"none"!==T?[0]:[]);k.enter().append("g").classed("slicetext",!0),k.exit().remove(),k.each((function(){var h=a.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),p=a.ensureUniformFontSize(t,g(d,o,r.font));h.text(o.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(i.font,p).call(l.convertToTspans,t);var m,y,x,b=i.bBox(h.node()),_=Math.min(o.BL[1],o.BR[1])+v,w=Math.max(o.TL[1],o.TR[1])+v;y=Math.max(o.TL[0],o.BL[0])+u,x=Math.min(o.TR[0],o.BR[0])+u,(m=c(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:"middle"})).fontSize=p.size,f(d.type,m,r),e[s].transform=m,h.attr("transform",a.getTextTransform(m))}))}}));var v=n.select(this).selectAll("g.titletext").data(d.title.text?[0]:[]);v.enter().append("g").classed("titletext",!0),v.exit().remove(),v.each((function(){var e=a.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),c=d.title.text;d._meta&&(c=a.templateString(c,d._meta)),e.text(c).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(i.font,d.title.font).call(l.convertToTspans,t);var u=x(h,r._size);e.attr("transform",s(u.x,u.y)+o(Math.min(1,u.scale))+s(u.tx,u.ty))}))}))}))}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../bar/plot":654,"../bar/uniform_text":659,"../pie/helpers":901,"../pie/plot":905,"@plotly/d3":58}],786:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../pie/style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(".trace");a(t,e,"funnelarea"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":659,"../pie/style_one":907,"@plotly/d3":58}],787:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/template_attributes").texttemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../lib/extend").extendFlat;e.exports=u({z:{valType:"data_array",editType:"calc"},x:u({},n.x,{impliedEdits:{xtype:"array"}}),x0:u({},n.x0,{impliedEdits:{xtype:"scaled"}}),dx:u({},n.dx,{impliedEdits:{xtype:"scaled"}}),y:u({},n.y,{impliedEdits:{ytype:"array"}}),y0:u({},n.y0,{impliedEdits:{ytype:"scaled"}}),dy:u({},n.dy,{impliedEdits:{ytype:"scaled"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:"scaled"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:"scaled"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:"scaled"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:"scaled"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:"scaled"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:"scaled"}}),text:{valType:"data_array",editType:"calc"},hovertext:{valType:"data_array",editType:"calc"},transpose:{valType:"boolean",dflt:!1,editType:"calc"},xtype:{valType:"enumerated",values:["array","scaled"],editType:"calc+clearAxisTypes"},ytype:{valType:"enumerated",values:["array","scaled"],editType:"calc+clearAxisTypes"},zsmooth:{valType:"enumerated",values:["fast","best",!1],dflt:!1,editType:"calc"},hoverongaps:{valType:"boolean",dflt:!0,editType:"none"},connectgaps:{valType:"boolean",editType:"calc"},xgap:{valType:"number",dflt:0,min:0,editType:"plot"},ygap:{valType:"number",dflt:0,min:0,editType:"plot"},xhoverformat:o("x"),yhoverformat:o("y"),zhoverformat:o("z",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:"plot"},{keys:["x","y","z","text"]}),textfont:a({editType:"plot",autoSize:!0,autoColor:!0,colorEditType:"style"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 0},c("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/font_attributes":580,"../../plots/template_attributes":628,"../scatter/attributes":922}],788:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../histogram2d/calc"),l=t("../../components/colorscale/calc"),c=t("./convert_column_xyz"),u=t("./clean_2d_array"),f=t("./interp2d"),h=t("./find_empties"),p=t("./make_bound_array"),d=t("../../constants/numerical").BADNUM;function m(t){for(var e=[],r=t.length,n=0;n<r;n++){var i=t[n];i!==d&&e.push(i)}return e}e.exports=function(t,e){var r,g,v,y,x,b,_,w,T,k,A,M=a.getFromId(t,e.xaxis||"x"),S=a.getFromId(t,e.yaxis||"y"),E=n.traceIs(e,"contour"),L=n.traceIs(e,"histogram"),C=n.traceIs(e,"gl2d"),P=E?"best":e.zsmooth;if(M._minDtick=0,S._minDtick=0,L)y=(A=s(t,e)).orig_x,r=A.x,g=A.x0,v=A.dx,w=A.orig_y,x=A.y,b=A.y0,_=A.dy,T=A.z;else{var I=e.z;i.isArray1D(I)?(c(e,M,S,"x","y",["z"]),r=e._x,x=e._y,I=e._z):(y=e.x?M.makeCalcdata(e,"x"):[],w=e.y?S.makeCalcdata(e,"y"):[],r=o(e,M,"x",y).vals,x=o(e,S,"y",w).vals,e._x=r,e._y=x),g=e.x0,v=e.dx,b=e.y0,_=e.dy,T=u(I,e,M,S)}function O(t){P=e._input.zsmooth=e.zsmooth=!1,i.warn('cannot use zsmooth: "fast": '+t)}if((M.rangebreaks||S.rangebreaks)&&(T=function(t,e,r){for(var n=[],i=-1,a=0;a<r.length;a++)if(e[a]!==d){i++,n[i]=[];for(var o=0;o<r[a].length;o++)t[o]!==d&&n[i].push(r[a][o])}return n}(r,x,T),L||(r=m(r),x=m(x),e._x=r,e._y=x)),L||!E&&!e.connectgaps||(e._emptypoints=h(T),f(T,e._emptypoints)),"fast"===P)if("log"===M.type||"log"===S.type)O("log axis found");else if(!L){if(r.length){var z=(r[r.length-1]-r[0])/(r.length-1),D=Math.abs(z/100);for(k=0;k<r.length-1;k++)if(Math.abs(r[k+1]-r[k]-z)>D){O("x scale is not linear");break}}if(x.length&&"fast"===P){var R=(x[x.length-1]-x[0])/(x.length-1),F=Math.abs(R/100);for(k=0;k<x.length-1;k++)if(Math.abs(x[k+1]-x[k]-R)>F){O("y scale is not linear");break}}}var B=i.maxRowLength(T),N="scaled"===e.xtype?"":r,j=p(e,N,g,v,B,M),U="scaled"===e.ytype?"":x,V=p(e,U,b,_,T.length,S);C||(e._extremes[M._id]=a.findExtremes(M,j),e._extremes[S._id]=a.findExtremes(S,V));var H={x:j,y:V,z:T,text:e._text||e.text,hovertext:e._hovertext||e.hovertext};if(e.xperiodalignment&&y&&(H.orig_x=y),e.yperiodalignment&&w&&(H.orig_y=w),N&&N.length===j.length-1&&(H.xCenter=N),U&&U.length===V.length-1&&(H.yCenter=U),L&&(H.xRanges=A.xRanges,H.yRanges=A.yRanges,H.pts=A.pts),E||l(t,e,{vals:T,cLetter:"z"}),E&&e.contours&&"heatmap"===e.contours.coloring){var q={type:"contour"===e.type?"heatmap":"histogram2d",xcalendar:e.xcalendar,ycalendar:e.ycalendar};H.xfill=p(q,N,g,v,B,M),H.yfill=p(q,U,b,_,T.length,S)}return[H]}},{"../../components/colorscale/calc":369,"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"../../registry":633,"../histogram2d/calc":821,"./clean_2d_array":789,"./convert_column_xyz":791,"./find_empties":793,"./interp2d":796,"./make_bound_array":798}],789:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r,o){var s,l,c,u,f,h;function p(t){if(n(t))return+t}if(e&&e.transpose){for(s=0,f=0;f<t.length;f++)s=Math.max(s,t[f].length);if(0===s)return!1;c=function(t){return t.length},u=function(t,e,r){return(t[r]||[])[e]}}else s=t.length,c=function(t,e){return t[e].length},u=function(t,e,r){return(t[e]||[])[r]};var d=function(t,e,r){return e===a||r===a?a:u(t,e,r)};function m(t){if(e&&"carpet"!==e.type&&"contourcarpet"!==e.type&&t&&"category"===t.type&&e["_"+t._id.charAt(0)].length){var r=t._id.charAt(0),n={},o=e["_"+r+"CategoryMap"]||e[r];for(f=0;f<o.length;f++)n[o[f]]=f;return function(e){var r=n[t._categories[e]];return r+1?r:a}}return i.identity}var g=m(r),v=m(o);o&&"category"===o.type&&(s=o._categories.length);var y=new Array(s);for(f=0;f<s;f++)for(l=r&&"category"===r.type?r._categories.length:c(t,f),y[f]=new Array(l),h=0;h<l;h++)y[f][h]=p(d(t,v(f),g(h)));return y}},{"../../constants/numerical":474,"../../lib":498,"fast-isnumeric":185}],790:[function(t,e,r){"use strict";e.exports={min:"zmin",max:"zmax"}},{}],791:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../constants/numerical").BADNUM,a=t("../../plots/cartesian/align_period");e.exports=function(t,e,r,o,s,l){var c=t._length,u=e.makeCalcdata(t,o),f=r.makeCalcdata(t,s);u=a(t,e,o,u).vals,f=a(t,r,s,f).vals;var h,p,d,m,g=t.text,v=void 0!==g&&n.isArray1D(g),y=t.hovertext,x=void 0!==y&&n.isArray1D(y),b=n.distinctVals(u),_=b.vals,w=n.distinctVals(f),T=w.vals,k=[],A=T.length,M=_.length;for(h=0;h<l.length;h++)k[h]=n.init2dArray(A,M);v&&(d=n.init2dArray(A,M)),x&&(m=n.init2dArray(A,M));var S=n.init2dArray(A,M);for(h=0;h<c;h++)if(u[h]!==i&&f[h]!==i){var E=n.findBin(u[h]+b.minDiff/2,_),L=n.findBin(f[h]+w.minDiff/2,T);for(p=0;p<l.length;p++){var C=t[l[p]];k[p][L][E]=C[h],S[L][E]=h}v&&(d[L][E]=g[h]),x&&(m[L][E]=y[h])}for(t["_"+o]=_,t["_"+s]=T,p=0;p<l.length;p++)t["_"+l[p]]=k[p];v&&(t._text=d),x&&(t._hovertext=m),e&&"category"===e.type&&(t["_"+o+"CategoryMap"]=_.map((function(t){return e._categories[t]}))),r&&"category"===r.type&&(t["_"+s+"CategoryMap"]=T.map((function(t){return r._categories[t]}))),t._after2before=S}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546}],792:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./xyz_defaults"),a=t("./label_defaults"),o=t("../scatter/period_defaults"),s=t("./style_defaults"),l=t("../../components/colorscale/defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}i(t,e,f,u)?(o(t,e,u,f),f("xhoverformat"),f("yhoverformat"),f("text"),f("hovertext"),f("hovertemplate"),a(f,u),s(t,e,f,u),f("hoverongaps"),f("connectgaps",n.isArray1D(e.z)&&!1!==e.zsmooth),l(t,e,u,f,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"../scatter/period_defaults":942,"./attributes":787,"./label_defaults":797,"./style_defaults":801,"./xyz_defaults":802}],793:[function(t,e,r){"use strict";var n=t("../../lib").maxRowLength;e.exports=function(t){var e,r,i,a,o,s,l,c,u=[],f={},h=[],p=t[0],d=[],m=[0,0,0],g=n(t);for(r=0;r<t.length;r++)for(e=d,d=p,p=t[r+1]||[],i=0;i<g;i++)void 0===d[i]&&((s=(void 0!==d[i-1]?1:0)+(void 0!==d[i+1]?1:0)+(void 0!==e[i]?1:0)+(void 0!==p[i]?1:0))?(0===r&&s++,0===i&&s++,r===t.length-1&&s++,i===d.length-1&&s++,s<4&&(f[[r,i]]=[r,i,s]),u.push([r,i,s])):h.push([r,i]));for(;h.length;){for(l={},c=!1,o=h.length-1;o>=0;o--)(s=((f[[(r=(a=h[o])[0])-1,i=a[1]]]||m)[2]+(f[[r+1,i]]||m)[2]+(f[[r,i-1]]||m)[2]+(f[[r,i+1]]||m)[2])/20)&&(l[a]=[r,i,s],h.splice(o,1),c=!0);if(!c)throw"findEmpties iterated with no new neighbors";for(a in l)f[a]=l[a],u.push(l[a])}return u.sort((function(t,e){return e[2]-t[2]}))}},{"../../lib":498}],794:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../components/colorscale").extractOpts;e.exports=function(t,e,r,s,l){l||(l={});var c,u,f,h,p=l.isContour,d=t.cd[0],m=d.trace,g=t.xa,v=t.ya,y=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,k=m.zhoverformat,A=y,M=x;if(!1!==t.index){try{f=Math.round(t.index[1]),h=Math.round(t.index[0])}catch(e){return void i.error("Error hovering on heatmap, pointNumber must be [row,col], found:",t.index)}if(f<0||f>=b[0].length||h<0||h>b.length)return}else{if(n.inbox(e-y[0],e-y[y.length-1],0)>0||n.inbox(r-x[0],r-x[x.length-1],0)>0)return;if(p){var S;for(A=[2*y[0]-y[1]],S=1;S<y.length;S++)A.push((y[S]+y[S-1])/2);for(A.push([2*y[y.length-1]-y[y.length-2]]),M=[2*x[0]-x[1]],S=1;S<x.length;S++)M.push((x[S]+x[S-1])/2);M.push([2*x[x.length-1]-x[x.length-2]])}f=Math.max(0,Math.min(A.length-2,i.findBin(e,A))),h=Math.max(0,Math.min(M.length-2,i.findBin(r,M)))}var E,L,C=g.c2p(y[f]),P=g.c2p(y[f+1]),I=v.c2p(x[h]),O=v.c2p(x[h+1]);p?(E=d.orig_x||y,L=d.orig_y||x,P=C,c=E[f],O=I,u=L[h]):(E=d.orig_x||_||y,L=d.orig_y||w||x,c=_?E[f]:(E[f]+E[f+1])/2,u=w?L[h]:(L[h]+L[h+1])/2,g&&"category"===g.type&&(c=y[f]),v&&"category"===v.type&&(u=x[h]),m.zsmooth&&(C=P=g.c2p(c),I=O=v.c2p(u)));var z=b[h][f];if(T&&!T[h][f]&&(z=void 0),void 0!==z||m.hoverongaps){var D;Array.isArray(d.hovertext)&&Array.isArray(d.hovertext[h])?D=d.hovertext[h][f]:Array.isArray(d.text)&&Array.isArray(d.text[h])&&(D=d.text[h][f]);var R=o(m),F={type:"linear",range:[R.min,R.max],hoverformat:k,_separators:g._separators,_numFormat:g._numFormat},B=a.tickText(F,z,"hover").text;return[i.extendFlat(t,{index:m._after2before?m._after2before[h][f]:[h,f],distance:t.maxHoverDistance,spikeDistance:t.maxSpikeDistance,x0:C,x1:P,y0:I,y1:O,xLabelVal:c,yLabelVal:u,zLabelVal:z,zLabel:B,text:D})]}}},{"../../components/colorscale":373,"../../components/fx":401,"../../lib":498,"../../plots/cartesian/axes":549}],795:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:t("./colorbar"),style:t("./style"),hoverPoints:t("./hover"),moduleType:"trace",name:"heatmap",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","showLegend"],meta:{}}},{"../../plots/cartesian":563,"./attributes":787,"./calc":788,"./colorbar":790,"./defaults":792,"./hover":794,"./plot":799,"./style":800}],796:[function(t,e,r){"use strict";var n=t("../../lib"),i=[[-1,0],[1,0],[0,-1],[0,1]];function a(t){return.5-.25*Math.min(1,.5*t)}function o(t,e,r){var n,a,o,s,l,c,u,f,h,p,d,m,g,v=0;for(s=0;s<e.length;s++){for(a=(n=e[s])[0],o=n[1],d=t[a][o],p=0,h=0,l=0;l<4;l++)(u=t[a+(c=i[l])[0]])&&void 0!==(f=u[o+c[1]])&&(0===p?m=g=f:(m=Math.min(m,f),g=Math.max(g,f)),h++,p+=f);if(0===h)throw"iterateInterp2d order is wrong: no defined neighbors";t[a][o]=p/h,void 0===d?h<4&&(v=1):(t[a][o]=(1+r)*t[a][o]-r*d,g>m&&(v=Math.max(v,Math.abs(t[a][o]-d)/(g-m))))}return v}e.exports=function(t,e){var r,i=1;for(o(t,e),r=0;r<e.length&&!(e[r][2]<4);r++);for(e=e.slice(r),r=0;r<100&&i>.01;r++)i=o(t,e,a(i));return i>.01&&n.log("interp2d didn't converge quickly",i),t}},{"../../lib":498}],797:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){t("texttemplate");var r=n.extendFlat({},e.font,{color:"auto",size:"auto"});n.coerceFont(t,"textfont",r)}},{"../../lib":498}],798:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a,o,s){var l,c,u,f=[],h=n.traceIs(t,"contour"),p=n.traceIs(t,"histogram"),d=n.traceIs(t,"gl2d");if(i(e)&&e.length>1&&!p&&"category"!==s.type){var m=e.length;if(!(m<=o))return h?e.slice(0,o):e.slice(0,o+1);if(h||d)f=e.slice(0,o);else if(1===o)f=[e[0]-.5,e[0]+.5];else{for(f=[1.5*e[0]-.5*e[1]],u=1;u<m;u++)f.push(.5*(e[u-1]+e[u]));f.push(1.5*e[m-1]-.5*e[m-2])}if(m<o){var g=f[f.length-1],v=g-f[f.length-2];for(u=m;u<o;u++)g+=v,f.push(g)}}else{var y=t[s._id.charAt(0)+"calendar"];if(p)l=s.r2c(r,0,y);else if(i(e)&&1===e.length)l=e[0];else if(void 0===r)l=0;else{l=("log"===s.type?s.d2c:s.r2c)(r,0,y)}for(c=a||1,u=h||d?0:-.5;u<o;u++)f.push(l+c*u)}return f}},{"../../lib":498,"../../registry":633}],799:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../components/drawing"),s=t("../../plots/cartesian/axes"),l=t("../../lib"),c=t("../../lib/svg_text_utils"),u=t("../scatter/format_labels"),f=t("../../components/color"),h=t("../../components/colorscale").extractOpts,p=t("../../components/colorscale").makeColorScaleFuncFromTrace,d=t("../../constants/xmlns_namespaces"),m=t("../../constants/alignment").LINE_SPACING;function g(t){return t.selectAll("g.heatmap-label")}function v(t){g(t).remove()}function y(t,e){var r=e.length-2,n=l.constrain(l.findBin(t,e),0,r),i=e[n],a=e[n+1],o=l.constrain(n+(t-i)/(a-i)-.5,0,r),s=Math.round(o),c=Math.abs(o-s);return o&&o!==r&&c?{bin0:s,frac:c,bin1:Math.round(s+c/(o-s))}:{bin0:s,bin1:s,frac:0}}function x(t,e){var r=e.length-1,n=l.constrain(l.findBin(t,e),0,r),i=e[n],a=(t-i)/(e[n+1]-i)||0;return a<=0?{bin0:n,bin1:n,frac:0}:a<.5?{bin0:n,bin1:n+1,frac:a}:{bin0:n+1,bin1:n,frac:1-a}}function b(t,e,r){t[e]=r[0],t[e+1]=r[1],t[e+2]=r[2],t[e+3]=Math.round(255*r[3])}e.exports=function(t,e,r,_){var w=e.xaxis,T=e.yaxis;l.makeTraceGroups(_,r,"hm").each((function(e){var r,_,k,A,M,S,E,L,C=n.select(this),P=e[0],I=P.trace,O=I.xgap||0,z=I.ygap||0,D=P.z,R=P.x,F=P.y,B=P.xCenter,N=P.yCenter,j=a.traceIs(I,"contour"),U=j?"best":I.zsmooth,V=D.length,H=l.maxRowLength(D),q=!1,G=!1;for(S=0;void 0===r&&S<R.length-1;)r=w.c2p(R[S]),S++;for(S=R.length-1;void 0===_&&S>0;)_=w.c2p(R[S]),S--;for(_<r&&(k=_,_=r,r=k,q=!0),S=0;void 0===A&&S<F.length-1;)A=T.c2p(F[S]),S++;for(S=F.length-1;void 0===M&&S>0;)M=T.c2p(F[S]),S--;if(M<A&&(k=A,A=M,M=k,G=!0),j&&(B=R,N=F,R=P.xfill,F=P.yfill),"fast"!==U){var Y="best"===U?0:.5;r=Math.max(-Y*w._length,r),_=Math.min((1+Y)*w._length,_),A=Math.max(-Y*T._length,A),M=Math.min((1+Y)*T._length,M)}var W,X,Z=Math.round(_-r),J=Math.round(M-A);if(Z<=0||J<=0)return C.selectAll("image").data([]).exit().remove(),void v(C);"fast"===U?(W=H,X=V):(W=Z,X=J);var K=document.createElement("canvas");K.width=W,K.height=X;var Q,$,tt=K.getContext("2d"),et=p(I,{noNumericCheck:!0,returnArray:!0});"fast"===U?(Q=q?function(t){return H-1-t}:l.identity,$=G?function(t){return V-1-t}:l.identity):(Q=function(t){return l.constrain(Math.round(w.c2p(R[t])-r),0,Z)},$=function(t){return l.constrain(Math.round(T.c2p(F[t])-A),0,J)});var rt,nt,it,at,ot=$(0),st=[ot,ot],lt=q?0:1,ct=G?0:1,ut=0,ft=0,ht=0,pt=0;function dt(t,e){if(void 0!==t){var r=et(t);return r[0]=Math.round(r[0]),r[1]=Math.round(r[1]),r[2]=Math.round(r[2]),ut+=e,ft+=r[0]*e,ht+=r[1]*e,pt+=r[2]*e,r}return[0,0,0,0]}function mt(t,e,r,n){var i=t[r.bin0];if(void 0===i)return dt(void 0,1);var a,o=t[r.bin1],s=e[r.bin0],l=e[r.bin1],c=o-i||0,u=s-i||0;return a=void 0===o?void 0===l?0:void 0===s?2*(l-i):2*(2*l-s-i)/3:void 0===l?void 0===s?0:2*(2*i-o-s)/3:void 0===s?2*(2*l-o-i)/3:l+i-o-s,dt(i+r.frac*c+n.frac*(u+r.frac*a))}if(U){var gt,vt=0;try{gt=new Uint8Array(Z*J*4)}catch(t){gt=new Array(Z*J*4)}if("best"===U){var yt,xt,bt,_t=B||R,wt=N||F,Tt=new Array(_t.length),kt=new Array(wt.length),At=new Array(Z),Mt=B?x:y,St=N?x:y;for(S=0;S<_t.length;S++)Tt[S]=Math.round(w.c2p(_t[S])-r);for(S=0;S<wt.length;S++)kt[S]=Math.round(T.c2p(wt[S])-A);for(S=0;S<Z;S++)At[S]=Mt(S,Tt);for(E=0;E<J;E++)for(xt=D[(yt=St(E,kt)).bin0],bt=D[yt.bin1],S=0;S<Z;S++,vt+=4)b(gt,vt,at=mt(xt,bt,At[S],yt))}else for(E=0;E<V;E++)for(it=D[E],st=$(E),S=0;S<Z;S++)at=dt(it[S],1),b(gt,vt=4*(st*Z+Q(S)),at);var Et=tt.createImageData(Z,J);try{Et.data.set(gt)}catch(t){var Lt=Et.data,Ct=Lt.length;for(E=0;E<Ct;E++)Lt[E]=gt[E]}tt.putImageData(Et,0,0)}else{var Pt=Math.floor(O/2),It=Math.floor(z/2);for(E=0;E<V;E++)if(it=D[E],st.reverse(),st[ct]=$(E+1),st[0]!==st[1]&&void 0!==st[0]&&void 0!==st[1])for(rt=[nt=Q(0),nt],S=0;S<H;S++)rt.reverse(),rt[lt]=Q(S+1),rt[0]!==rt[1]&&void 0!==rt[0]&&void 0!==rt[1]&&(at=dt(it[S],(rt[1]-rt[0])*(st[1]-st[0])),tt.fillStyle="rgba("+at.join(",")+")",tt.fillRect(rt[0]+Pt,st[0]+It,rt[1]-rt[0]-O,st[1]-st[0]-z))}ft=Math.round(ft/ut),ht=Math.round(ht/ut),pt=Math.round(pt/ut);var Ot=i("rgb("+ft+","+ht+","+pt+")");t._hmpixcount=(t._hmpixcount||0)+ut,t._hmlumcount=(t._hmlumcount||0)+ut*Ot.getLuminance();var zt=C.selectAll("image").data(e);zt.enter().append("svg:image").attr({xmlns:d.svg,preserveAspectRatio:"none"}),zt.attr({height:J,width:Z,x:r,y:A,"xlink:href":K.toDataURL("image/png")}),v(C);var Dt=I.texttemplate;if(Dt){var Rt=h(I),Ft={type:"linear",range:[Rt.min,Rt.max],_separators:w._separators,_numFormat:w._numFormat},Bt="histogram2dcontour"===I.type,Nt="contour"===I.type,jt=Nt?V-1:V,Ut=Nt?1:0,Vt=Nt?H-1:H,Ht=[];for(S=Nt?1:0;S<jt;S++){var qt;if(Nt)qt=P.y[S];else if(Bt){if(0===S||S===V-1)continue;qt=P.y[S]}else if(P.yCenter)qt=P.yCenter[S];else{if(S+1===V&&void 0===P.y[S+1])continue;qt=(P.y[S]+P.y[S+1])/2}var Gt=Math.round(T.c2p(qt));if(!(0>Gt||Gt>T._length))for(E=Ut;E<Vt;E++){var Yt;if(Nt)Yt=P.x[E];else if(Bt){if(0===E||E===H-1)continue;Yt=P.x[E]}else if(P.xCenter)Yt=P.xCenter[E];else{if(E+1===H&&void 0===P.x[E+1])continue;Yt=(P.x[E]+P.x[E+1])/2}var Wt=Math.round(w.c2p(Yt));if(!(0>Wt||Wt>w._length)){var Xt=u({x:Yt,y:qt},I,t._fullLayout);Xt.x=Yt,Xt.y=qt;var Zt=P.z[S][E];void 0===Zt?(Xt.z="",Xt.zLabel=""):(Xt.z=Zt,Xt.zLabel=s.tickText(Ft,Zt,"hover").text);var Jt=P.text&&P.text[S]&&P.text[S][E];void 0!==Jt&&!1!==Jt||(Jt=""),Xt.text=Jt;var Kt=l.texttemplateString(Dt,Xt,t._fullLayout._d3locale,Xt,I._meta||{});if(Kt){var Qt=Kt.split("<br>"),$t=Qt.length,te=0;for(L=0;L<$t;L++)te=Math.max(te,Qt[L].length);Ht.push({l:$t,c:te,t:Kt,x:Wt,y:Gt,z:Zt})}}}}var ee=I.textfont,re=ee.family,ne=ee.size,ie=t._fullLayout.font.size;if(!ne||"auto"===ne){var ae=1/0,oe=1/0,se=0,le=0;for(L=0;L<Ht.length;L++){var ce=Ht[L];if(se=Math.max(se,ce.l),le=Math.max(le,ce.c),L<Ht.length-1){var ue=Ht[L+1],fe=Math.abs(ue.x-ce.x),he=Math.abs(ue.y-ce.y);fe&&(ae=Math.min(ae,fe)),he&&(oe=Math.min(oe,he))}}isFinite(ae)&&isFinite(oe)?(ae-=O,oe-=z,ae/=le,oe/=se,ae/=m/2,oe/=m,ne=Math.min(Math.floor(ae),Math.floor(oe),ie)):ne=ie}if(ne<=0||!isFinite(ne))return;g(C).data(Ht).enter().append("g").classed("heatmap-label",1).append("text").attr("text-anchor","middle").each((function(e){var r=n.select(this),i=ee.color;i&&"auto"!==i||(i=f.contrast("rgba("+et(e.z).join()+")")),r.attr("data-notex",1).call(c.positionText,function(t){return t.x}(e),function(t){return t.y-ne*(t.l*m/2-1)}(e)).call(o.font,re,ne,i).text(e.t).call(c.convertToTspans,t)}))}}))}},{"../../components/color":361,"../../components/colorscale":373,"../../components/drawing":383,"../../constants/alignment":466,"../../constants/xmlns_namespaces":475,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../registry":633,"../scatter/format_labels":931,"@plotly/d3":58,tinycolor2:307}],800:[function(t,e,r){"use strict";var n=t("@plotly/d3");e.exports=function(t){n.select(t).selectAll(".hm image").style("opacity",(function(t){return t.trace.opacity}))}},{"@plotly/d3":58}],801:[function(t,e,r){"use strict";e.exports=function(t,e,r){!1===r("zsmooth")&&(r("xgap"),r("ygap")),r("zhoverformat")}},{}],802:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../registry");function o(t,e){var r=e(t);return"scaled"===(r?e(t+"type","array"):"scaled")&&(e(t+"0"),e("d"+t)),r}e.exports=function(t,e,r,s,l,c){var u,f,h=r("z");if(l=l||"x",c=c||"y",void 0===h||!h.length)return 0;if(i.isArray1D(t.z)){u=r(l),f=r(c);var p=i.minRowLength(u),d=i.minRowLength(f);if(0===p||0===d)return 0;e._length=Math.min(p,d,h.length)}else{if(u=o(l,r),f=o(c,r),!function(t){for(var e,r=!0,a=!1,o=!1,s=0;s<t.length;s++){if(e=t[s],!i.isArrayOrTypedArray(e)){r=!1;break}e.length>0&&(a=!0);for(var l=0;l<e.length;l++)if(n(e[l])){o=!0;break}}return r&&a&&o}(h))return 0;r("transpose"),e._length=null}return"heatmapgl"===t.type||a.getComponentMethod("calendars","handleTraceDefaults")(t,e,[l,c],s),!0}},{"../../lib":498,"../../registry":633,"fast-isnumeric":185}],803:[function(t,e,r){"use strict";for(var n=t("../heatmap/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll,s=["z","x","x0","dx","y","y0","dy","text","transpose","xtype","ytype"],l={},c=0;c<s.length;c++){var u=s[c];l[u]=n[u]}l.zsmooth={valType:"enumerated",values:["fast",!1],dflt:"fast",editType:"calc"},a(l,i("",{cLetter:"z",autoColorDflt:!1})),e.exports=o(l,"calc","nested")},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../heatmap/attributes":787}],804:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_heatmap2d,i=t("../../plots/cartesian/axes"),a=t("../../lib/str2rgbarray");function o(t,e){this.scene=t,this.uid=e,this.type="heatmapgl",this.name="",this.hoverinfo="all",this.xData=[],this.yData=[],this.zData=[],this.textLabels=[],this.idToIndex=[],this.bounds=[0,0,0,0],this.options={zsmooth:"fast",z:[],x:[],y:[],shape:[0,0],colorLevels:[0],colorValues:[0,0,0,1]},this.heatmap=n(t.glplot,this.options),this.heatmap._trace=this}var s=o.prototype;s.handlePick=function(t){var e=this.options,r=e.shape,n=t.pointId,i=n%r[0],a=Math.floor(n/r[0]),o=n;return{trace:this,dataCoord:t.dataCoord,traceCoord:[e.x[i],e.y[a],e.z[o]],textLabel:this.textLabels[n],name:this.name,pointIndex:[a,i],hoverinfo:this.hoverinfo}},s.update=function(t,e){var r=e[0];this.index=t.index,this.name=t.name,this.hoverinfo=t.hoverinfo;var n=r.z;this.options.z=[].concat.apply([],n);var o=n[0].length,s=n.length;this.options.shape=[o,s],this.options.x=r.x,this.options.y=r.y,this.options.zsmooth=t.zsmooth;var l=function(t){for(var e=t.colorscale,r=t.zmin,n=t.zmax,i=e.length,o=new Array(i),s=new Array(4*i),l=0;l<i;l++){var c=e[l],u=a(c[1]);o[l]=r+c[0]*(n-r);for(var f=0;f<4;f++)s[4*l+f]=u[f]}return{colorLevels:o,colorValues:s}}(t);this.options.colorLevels=l.colorLevels,this.options.colorValues=l.colorValues,this.textLabels=[].concat.apply([],t.text),this.heatmap.update(this.options);var c,u,f=this.scene.xaxis,h=this.scene.yaxis;!1===t.zsmooth&&(c={ppad:r.x[1]-r.x[0]},u={ppad:r.y[1]-r.y[0]}),t._extremes[f._id]=i.findExtremes(f,r.x,c),t._extremes[h._id]=i.findExtremes(h,r.y,u)},s.dispose=function(){this.heatmap.dispose()},e.exports=function(t,e,r){var n=new o(t,e.uid);return n.update(e,r),n}},{"../../../stackgl_modules":1119,"../../lib/str2rgbarray":523,"../../plots/cartesian/axes":549}],805:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,l,s)?(l("text"),l("zsmooth"),a(t,e,s,l,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"../heatmap/xyz_defaults":802,"./attributes":803}],806:[function(t,e,r){"use strict";["*heatmapgl* trace is deprecated!","Please consider switching to the *heatmap* or *image* trace types.","Alternatively you could contribute/sponsor rewriting this trace type","based on cartesian features and using regl framework."].join(" ");e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../heatmap/calc"),plot:t("./convert"),moduleType:"trace",name:"heatmapgl",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","2dMap"],meta:{}}},{"../../plots/gl2d":591,"../heatmap/calc":788,"../heatmap/colorbar":790,"./attributes":803,"./convert":804,"./defaults":805}],807:[function(t,e,r){"use strict";var n=t("../bar/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../plots/font_attributes"),l=t("./bin_attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},xhoverformat:i("x"),yhoverformat:i("y"),text:u({},n.text,{}),hovertext:u({},n.hovertext,{}),orientation:n.orientation,histfunc:{valType:"enumerated",values:["count","sum","avg","min","max"],dflt:"count",editType:"calc"},histnorm:{valType:"enumerated",values:["","percent","probability","density","probability density"],dflt:"",editType:"calc"},cumulative:{enabled:{valType:"boolean",dflt:!1,editType:"calc"},direction:{valType:"enumerated",values:["increasing","decreasing"],dflt:"increasing",editType:"calc"},currentbin:{valType:"enumerated",values:["include","exclude","half"],dflt:"include",editType:"calc"},editType:"calc"},nbinsx:{valType:"integer",min:0,dflt:0,editType:"calc"},xbins:l("x",!0),nbinsy:{valType:"integer",min:0,dflt:0,editType:"calc"},ybins:l("y",!0),autobinx:{valType:"boolean",dflt:null,editType:"calc"},autobiny:{valType:"boolean",dflt:null,editType:"calc"},bingroup:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({},{keys:c.eventDataKeys}),texttemplate:o({arrayOk:!1,editType:"plot"},{keys:["label","value"]}),textposition:u({},n.textposition,{arrayOk:!1}),textfont:s({arrayOk:!1,editType:"plot",colorEditType:"style"}),outsidetextfont:s({arrayOk:!1,editType:"plot",colorEditType:"style"}),insidetextfont:s({arrayOk:!1,editType:"plot",colorEditType:"style"}),insidetextanchor:n.insidetextanchor,textangle:n.textangle,cliponaxis:n.cliponaxis,constraintext:n.constraintext,marker:n.marker,offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,_deprecated:{bardir:n._deprecated.bardir}}},{"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../../plots/font_attributes":580,"../../plots/template_attributes":628,"../bar/attributes":643,"./bin_attributes":809,"./constants":813}],808:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=t.length,n=0,i=0;i<r;i++)e[i]?(t[i]/=e[i],n+=t[i]):t[i]=null;return n}},{}],809:[function(t,e,r){"use strict";e.exports=function(t,e){return{start:{valType:"any",editType:"calc"},end:{valType:"any",editType:"calc"},size:{valType:"any",editType:"calc"},editType:"calc"}}},{}],810:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports={count:function(t,e,r){return r[t]++,1},sum:function(t,e,r,i){var a=i[e];return n(a)?(a=Number(a),r[t]+=a,a):0},avg:function(t,e,r,i,a){var o=i[e];return n(o)&&(o=Number(o),r[t]+=o,a[t]++),0},min:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]>a){var o=a-r[t];return r[t]=a,o}}return 0},max:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]<a){var o=a-r[t];return r[t]=a,o}}return 0}}},{"fast-isnumeric":185}],811:[function(t,e,r){"use strict";var n=t("../../constants/numerical"),i=n.ONEAVGYEAR,a=n.ONEAVGMONTH,o=n.ONEDAY,s=n.ONEHOUR,l=n.ONEMIN,c=n.ONESEC,u=t("../../plots/cartesian/axes").tickIncrement;function f(t,e,r,n){if(t*e<=0)return 1/0;for(var i=Math.abs(e-t),a="date"===r.type,o=h(i,a),s=0;s<10;s++){var l=h(80*o,a);if(o===l)break;if(!p(l,t,e,a,r,n))break;o=l}return o}function h(t,e){return e&&t>c?t>o?t>1.1*i?i:t>1.1*a?a:o:t>s?s:t>l?l:c:Math.pow(10,Math.floor(Math.log(t)/Math.LN10))}function p(t,e,r,n,a,s){if(n&&t>o){var l=d(e,a,s),c=d(r,a,s),u=t===i?0:1;return l[u]!==c[u]}return Math.floor(r/t)-Math.floor(e/t)>.1}function d(t,e,r){var n=e.c2d(t,i,r).split("-");return""===n[0]&&(n.unshift(),n[0]="-"+n[0]),n}e.exports=function(t,e,r,n,a){var s,l,c=-1.1*e,h=-.1*e,p=t-h,d=r[0],m=r[1],g=Math.min(f(d+h,d+p,n,a),f(m+h,m+p,n,a)),v=Math.min(f(d+c,d+h,n,a),f(m+c,m+h,n,a));if(g>v&&v<Math.abs(m-d)/4e3?(s=g,l=!1):(s=Math.min(g,v),l=!0),"date"===n.type&&s>o){var y=s===i?1:6,x=s===i?"M12":"M1";return function(e,r){var o=n.c2d(e,i,a),s=o.indexOf("-",y);s>0&&(o=o.substr(0,s));var c=n.d2c(o,0,a);if(c<e){var f=u(c,x,!1,a);(c+f)/2<e+t&&(c=f)}return r&&l?u(c,x,!0,a):c}}return function(e,r){var n=s*Math.round(e/s);return n+s/10<e&&n+.9*s<e+t&&(n+=s),r&&l&&(n-=s),n}}},{"../../constants/numerical":474,"../../plots/cartesian/axes":549}],812:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../bar/arrays_to_calcdata"),l=t("./bin_functions"),c=t("./norm_functions"),u=t("./average"),f=t("./bin_label_vals");function h(t,e,r,s,l){var c,u,f,p,d,m,g,v=s+"bins",y=t._fullLayout,x=e["_"+s+"bingroup"],b=y._histogramBinOpts[x],_="overlay"===y.barmode,w=function(t){return r.r2c(t,0,p)},T=function(t){return r.c2r(t,0,p)},k="date"===r.type?function(t){return t||0===t?i.cleanDate(t,null,p):null}:function(t){return n(t)?Number(t):null};function A(t,e,r){e[t+"Found"]?(e[t]=k(e[t]),null===e[t]&&(e[t]=r[t])):(m[t]=e[t]=r[t],i.nestedProperty(u[0],v+"."+t).set(r[t]))}if(e["_"+s+"autoBinFinished"])delete e["_"+s+"autoBinFinished"];else{u=b.traces;var M=[],S=!0,E=!1,L=!1;for(c=0;c<u.length;c++)if((f=u[c]).visible){var C=b.dirs[c];d=f["_"+C+"pos0"]=r.makeCalcdata(f,C),M=i.concat(M,d),delete f["_"+s+"autoBinFinished"],!0===e.visible&&(S?S=!1:(delete f._autoBin,f["_"+s+"autoBinFinished"]=1),a.traceIs(f,"2dMap")&&(E=!0),"histogram2dcontour"===f.type&&(L=!0))}p=u[0][s+"calendar"];var P=o.autoBin(M,r,b.nbins,E,p,b.sizeFound&&b.size),I=u[0]._autoBin={};if(m=I[b.dirs[0]]={},L&&(b.size||(P.start=T(o.tickIncrement(w(P.start),P.size,!0,p))),void 0===b.end&&(P.end=T(o.tickIncrement(w(P.end),P.size,!1,p)))),_&&!a.traceIs(e,"2dMap")&&0===P._dataSpan&&"category"!==r.type&&"multicategory"!==r.type){if(l)return[P,d,!0];P=function(t,e,r,n,a){var o,s,l,c=t._fullLayout,u=function(t,e){for(var r=e.xaxis,n=e.yaxis,i=e.orientation,a=[],o=t._fullData,s=0;s<o.length;s++){var l=o[s];"histogram"===l.type&&!0===l.visible&&l.orientation===i&&l.xaxis===r&&l.yaxis===n&&a.push(l)}return a}(t,e),f=!1,p=1/0,d=[e];for(o=0;o<u.length;o++)if((s=u[o])===e)f=!0;else if(f){var m=h(t,s,r,n,!0),g=m[0],v=m[2];s["_"+n+"autoBinFinished"]=1,s["_"+n+"pos0"]=m[1],v?d.push(s):p=Math.min(p,g.size)}else l=c._histogramBinOpts[s["_"+n+"bingroup"]],p=Math.min(p,l.size||s[a].size);var y=new Array(d.length);for(o=0;o<d.length;o++)for(var x=d[o]["_"+n+"pos0"],b=0;b<x.length;b++)if(void 0!==x[b]){y[o]=x[b];break}isFinite(p)||(p=i.distinctVals(y).minDiff);for(o=0;o<d.length;o++){var _=(s=d[o])[n+"calendar"],w={start:r.c2r(y[o]-p/2,0,_),end:r.c2r(y[o]+p/2,0,_),size:p};s._input[a]=s[a]=w,(l=c._histogramBinOpts[s["_"+n+"bingroup"]])&&i.extendFlat(l,w)}return e[a]}(t,e,r,s,v)}(g=f.cumulative||{}).enabled&&"include"!==g.currentbin&&("decreasing"===g.direction?P.start=T(o.tickIncrement(w(P.start),P.size,!0,p)):P.end=T(o.tickIncrement(w(P.end),P.size,!1,p))),b.size=P.size,b.sizeFound||(m.size=P.size,i.nestedProperty(u[0],v+".size").set(P.size)),A("start",b,P),A("end",b,P)}d=e["_"+s+"pos0"],delete e["_"+s+"pos0"];var O=e._input[v]||{},z=i.extendFlat({},b),D=b.start,R=r.r2l(O.start),F=void 0!==R;if((b.startFound||F)&&R!==r.r2l(D)){var B=F?R:i.aggNums(Math.min,null,d),N={type:"category"===r.type||"multicategory"===r.type?"linear":r.type,r2l:r.r2l,dtick:b.size,tick0:D,calendar:p,range:[B,o.tickIncrement(B,b.size,!1,p)].map(r.l2r)},j=o.tickFirst(N);j>r.r2l(B)&&(j=o.tickIncrement(j,b.size,!0,p)),z.start=r.l2r(j),F||i.nestedProperty(e,v+".start").set(z.start)}var U=b.end,V=r.r2l(O.end),H=void 0!==V;if((b.endFound||H)&&V!==r.r2l(U)){var q=H?V:i.aggNums(Math.max,null,d);z.end=r.l2r(q),H||i.nestedProperty(e,v+".start").set(z.end)}var G="autobin"+s;return!1===e._input[G]&&(e._input[v]=i.extendFlat({},e[v]||{}),delete e._input[G],delete e[G]),[z,d]}e.exports={calc:function(t,e){var r,a,p,d,m=[],g=[],v="h"===e.orientation,y=o.getFromId(t,v?e.yaxis:e.xaxis),x=v?"y":"x",b={x:"y",y:"x"}[x],_=e[x+"calendar"],w=e.cumulative,T=h(t,e,y,x),k=T[0],A=T[1],M="string"==typeof k.size,S=[],E=M?S:k,L=[],C=[],P=[],I=0,O=e.histnorm,z=e.histfunc,D=-1!==O.indexOf("density");w.enabled&&D&&(O=O.replace(/ ?density$/,""),D=!1);var R,F="max"===z||"min"===z?null:0,B=l.count,N=c[O],j=!1,U=function(t){return y.r2c(t,0,_)};for(i.isArrayOrTypedArray(e[b])&&"count"!==z&&(R=e[b],j="avg"===z,B=l[z]),r=U(k.start),p=U(k.end)+(r-o.tickIncrement(r,k.size,!1,_))/1e6;r<p&&m.length<1e6&&(a=o.tickIncrement(r,k.size,!1,_),m.push((r+a)/2),g.push(F),P.push([]),S.push(r),D&&L.push(1/(a-r)),j&&C.push(0),!(a<=r));)r=a;S.push(r),M||"date"!==y.type||(E={start:U(E.start),end:U(E.end),size:E.size}),t._fullLayout._roundFnOpts||(t._fullLayout._roundFnOpts={});var V=e["_"+x+"bingroup"],H={leftGap:1/0,rightGap:1/0};V&&(t._fullLayout._roundFnOpts[V]||(t._fullLayout._roundFnOpts[V]=H),H=t._fullLayout._roundFnOpts[V]);var q,G=g.length,Y=!0,W=H.leftGap,X=H.rightGap,Z={};for(r=0;r<A.length;r++){var J=A[r];(d=i.findBin(J,E))>=0&&d<G&&(I+=B(d,r,g,R,C),Y&&P[d].length&&J!==A[P[d][0]]&&(Y=!1),P[d].push(r),Z[r]=d,W=Math.min(W,J-S[d]),X=Math.min(X,S[d+1]-J))}H.leftGap=W,H.rightGap=X,Y||(q=function(e,r){return function(){var n=t._fullLayout._roundFnOpts[V];return f(n.leftGap,n.rightGap,S,y,_)(e,r)}}),j&&(I=u(g,C)),N&&N(g,I,L),w.enabled&&function(t,e,r){var n,i,a;function o(e){a=t[e],t[e]/=2}function s(e){i=t[e],t[e]=a+i/2,a+=i}if("half"===r)if("increasing"===e)for(o(0),n=1;n<t.length;n++)s(n);else for(o(t.length-1),n=t.length-2;n>=0;n--)s(n);else if("increasing"===e){for(n=1;n<t.length;n++)t[n]+=t[n-1];"exclude"===r&&(t.unshift(0),t.pop())}else{for(n=t.length-2;n>=0;n--)t[n]+=t[n+1];"exclude"===r&&(t.push(0),t.shift())}}(g,w.direction,w.currentbin);var K=Math.min(m.length,g.length),Q=[],$=0,tt=K-1;for(r=0;r<K;r++)if(g[r]){$=r;break}for(r=K-1;r>=$;r--)if(g[r]){tt=r;break}for(r=$;r<=tt;r++)if(n(m[r])&&n(g[r])){var et={p:m[r],s:g[r],b:0};w.enabled||(et.pts=P[r],Y?et.ph0=et.ph1=P[r].length?A[P[r][0]]:m[r]:(e._computePh=!0,et.ph0=q(S[r]),et.ph1=q(S[r+1],!0))),Q.push(et)}return 1===Q.length&&(Q[0].width1=o.tickIncrement(Q[0].p,k.size,!1,_)-Q[0].p),s(Q,e),i.isArrayOrTypedArray(e.selectedpoints)&&i.tagSelected(Q,e,Z),Q},calcAllAutoBins:h}},{"../../lib":498,"../../plots/cartesian/axes":549,"../../registry":633,"../bar/arrays_to_calcdata":642,"./average":808,"./bin_functions":810,"./bin_label_vals":811,"./norm_functions":819,"fast-isnumeric":185}],813:[function(t,e,r){"use strict";e.exports={eventDataKeys:["binNumber"]}},{}],814:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axis_ids"),a=t("../../registry").traceIs,o=t("../bar/defaults").handleGroupingDefaults,s=n.nestedProperty,l=t("../../plots/cartesian/constraints").getAxisGroup,c=[{aStr:{x:"xbins.start",y:"ybins.start"},name:"start"},{aStr:{x:"xbins.end",y:"ybins.end"},name:"end"},{aStr:{x:"xbins.size",y:"ybins.size"},name:"size"},{aStr:{x:"nbinsx",y:"nbinsy"},name:"nbins"}],u=["x","y"];e.exports=function(t,e){var r,f,h,p,d,m,g,v=e._histogramBinOpts={},y=[],x={},b=[];function _(t,e){return n.coerce(r._input,r,r._module.attributes,t,e)}function w(t){return"v"===t.orientation?"x":"y"}function T(t,r,a){var o=t.uid+"__"+a;r||(r=o);var s=function(t,r){return i.getFromTrace({_fullLayout:e},t,r).type}(t,a),l=t[a+"calendar"]||"",c=v[r],u=!0;c&&(s===c.axType&&l===c.calendar?(u=!1,c.traces.push(t),c.dirs.push(a)):(r=o,s!==c.axType&&n.warn(["Attempted to group the bins of trace",t.index,"set on a","type:"+s,"axis","with bins on","type:"+c.axType,"axis."].join(" ")),l!==c.calendar&&n.warn(["Attempted to group the bins of trace",t.index,"set with a",l,"calendar","with bins",c.calendar?"on a "+c.calendar+" calendar":"w/o a set calendar"].join(" ")))),u&&(v[r]={traces:[t],dirs:[a],axType:s,calendar:t[a+"calendar"]||""}),t["_"+a+"bingroup"]=r}for(d=0;d<t.length;d++)r=t[d],a(r,"histogram")&&(y.push(r),delete r._xautoBinFinished,delete r._yautoBinFinished,a(r,"2dMap")||o(r._input,r,e,_));var k=e._alignmentOpts||{};for(d=0;d<y.length;d++){if(r=y[d],h="",!a(r,"2dMap")){if(p=w(r),"group"===e.barmode&&r.alignmentgroup){var A=r[p+"axis"],M=l(e,A)+r.orientation;(k[M]||{})[r.alignmentgroup]&&(h=M)}h||"overlay"===e.barmode||(h=l(e,r.xaxis)+l(e,r.yaxis)+w(r))}h?(x[h]||(x[h]=[]),x[h].push(r)):b.push(r)}for(h in x)if(1!==(f=x[h]).length){var S=!1;for(f.length&&(r=f[0],S=_("bingroup")),h=S||h,d=0;d<f.length;d++){var E=(r=f[d])._input.bingroup;E&&E!==h&&n.warn(["Trace",r.index,"must match","within bingroup",h+".","Ignoring its bingroup:",E,"setting."].join(" ")),r.bingroup=h,T(r,h,w(r))}}else b.push(f[0]);for(d=0;d<b.length;d++){r=b[d];var L=_("bingroup");if(a(r,"2dMap"))for(g=0;g<2;g++){var C=_((p=u[g])+"bingroup",L?L+"__"+p:null);T(r,C,p)}else T(r,L,w(r))}for(h in v){var P=v[h];for(f=P.traces,m=0;m<c.length;m++){var I,O,z=c[m],D=z.name;if("nbins"!==D||!P.sizeFound){for(d=0;d<f.length;d++){if(r=f[d],p=P.dirs[d],I=z.aStr[p],void 0!==s(r._input,I).get()){P[D]=_(I),P[D+"Found"]=!0;break}(O=(r._autoBin||{})[p]||{})[D]&&s(r,I).set(O[D])}if("start"===D||"end"===D)for(;d<f.length;d++)(r=f[d])["_"+p+"bingroup"]&&_(I,(O=(r._autoBin||{})[p]||{})[D]);"nbins"!==D||P.sizeFound||P.nbinsFound||(r=f[0],P[D]=_(I))}}}}},{"../../lib":498,"../../plots/cartesian/axis_ids":553,"../../plots/cartesian/constraints":557,"../../registry":633,"../bar/defaults":647}],815:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../components/color"),o=t("../bar/defaults").handleText,s=t("../bar/style_defaults"),l=t("./attributes");e.exports=function(t,e,r,c){function u(r,n){return i.coerce(t,e,l,r,n)}var f=u("x"),h=u("y");u("cumulative.enabled")&&(u("cumulative.direction"),u("cumulative.currentbin")),u("text");var p=u("textposition");o(t,e,c,u,p,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),u("hovertext"),u("hovertemplate"),u("xhoverformat"),u("yhoverformat");var d=u("orientation",h&&!f?"h":"v"),m="v"===d?"x":"y",g="v"===d?"y":"x",v=f&&h?Math.min(i.minRowLength(f)&&i.minRowLength(h)):i.minRowLength(e[m]||[]);if(v){e._length=v,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],c),e[g]&&u("histfunc"),u("histnorm"),u("autobin"+m),s(t,e,u,r,c),i.coerceSelectionMarkerOpacity(e,u);var y=(e.marker.line||{}).color,x=n.getComponentMethod("errorbars","supplyDefaults");x(t,e,y||a.defaultLine,{axis:"y"}),x(t,e,y||a.defaultLine,{axis:"x",inherit:"y"})}else e.visible=!1}},{"../../components/color":361,"../../lib":498,"../../registry":633,"../bar/defaults":647,"../bar/style_defaults":658,"./attributes":807}],816:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){if(t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,"zLabelVal"in e&&(t.z=e.zLabelVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),!(r.cumulative||{}).enabled){var a,o=Array.isArray(i)?n[0].pts[i[0]][i[1]]:n[i].pts;if(t.pointNumbers=o,t.binNumber=t.pointNumber,delete t.pointNumber,delete t.pointIndex,r._indexToPoints){a=[];for(var s=0;s<o.length;s++)a=a.concat(r._indexToPoints[o[s]])}else a=o;t.pointIndices=a}return t}},{}],817:[function(t,e,r){"use strict";var n=t("../bar/hover").hoverPoints,i=t("../../plots/cartesian/axes").hoverLabelText;e.exports=function(t,e,r,a,o){var s=n(t,e,r,a,o);if(s){var l=(t=s[0]).cd[t.index],c=t.cd[0].trace;if(!c.cumulative.enabled){var u="h"===c.orientation?"y":"x";t[u+"Label"]=i(t[u+"a"],[l.ph0,l.ph1],c[u+"hoverformat"])}return s}}},{"../../plots/cartesian/axes":549,"../bar/hover":650}],818:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("../bar/layout_attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),supplyLayoutDefaults:t("../bar/layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("../bar/cross_trace_calc").crossTraceCalc,plot:t("../bar/plot").plot,layerName:"barlayer",style:t("../bar/style").style,styleOnSelect:t("../bar/style").styleOnSelect,colorbar:t("../scatter/marker_colorbar"),hoverPoints:t("./hover"),selectPoints:t("../bar/select"),eventData:t("./event_data"),moduleType:"trace",name:"histogram",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","bar","histogram","oriented","errorBarsOK","showLegend"],meta:{}}},{"../../plots/cartesian":563,"../bar/cross_trace_calc":646,"../bar/layout_attributes":652,"../bar/layout_defaults":653,"../bar/plot":654,"../bar/select":655,"../bar/style":657,"../scatter/marker_colorbar":940,"./attributes":807,"./calc":812,"./cross_trace_defaults":814,"./defaults":815,"./event_data":816,"./hover":817}],819:[function(t,e,r){"use strict";e.exports={percent:function(t,e){for(var r=t.length,n=100/e,i=0;i<r;i++)t[i]*=n},probability:function(t,e){for(var r=t.length,n=0;n<r;n++)t[n]/=e},density:function(t,e,r,n){var i=t.length;n=n||1;for(var a=0;a<i;a++)t[a]*=r[a]*n},"probability density":function(t,e,r,n){var i=t.length;n&&(e/=n);for(var a=0;a<i;a++)t[a]*=r[a]/e}}},{}],820:[function(t,e,r){"use strict";var n=t("../histogram/attributes"),i=t("../histogram/bin_attributes"),a=t("../heatmap/attributes"),o=t("../../plots/attributes"),s=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../plots/template_attributes").texttemplateAttrs,u=t("../../components/colorscale/attributes"),f=t("../../lib/extend").extendFlat;e.exports=f({x:n.x,y:n.y,z:{valType:"data_array",editType:"calc"},marker:{color:{valType:"data_array",editType:"calc"},editType:"calc"},histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:i("x"),nbinsy:n.nbinsy,ybins:i("y"),autobinx:n.autobinx,autobiny:n.autobiny,bingroup:f({},n.bingroup,{}),xbingroup:f({},n.bingroup,{}),ybingroup:f({},n.bingroup,{}),xgap:a.xgap,ygap:a.ygap,zsmooth:a.zsmooth,xhoverformat:s("x"),yhoverformat:s("y"),zhoverformat:s("z",1),hovertemplate:l({},{keys:"z"}),texttemplate:c({arrayOk:!1,editType:"plot"},{keys:"z"}),textfont:a.textfont,showlegend:f({},o.showlegend,{dflt:!1})},u("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../heatmap/attributes":787,"../histogram/attributes":807,"../histogram/bin_attributes":809}],821:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../histogram/bin_functions"),o=t("../histogram/norm_functions"),s=t("../histogram/average"),l=t("../histogram/bin_label_vals"),c=t("../histogram/calc").calcAllAutoBins;function u(t,e,r,n){var i,a=new Array(t);if(n)for(i=0;i<t;i++)a[i]=1/(e[i+1]-e[i]);else{var o=1/r;for(i=0;i<t;i++)a[i]=o}return a}function f(t,e){return{start:t(e.start),end:t(e.end),size:e.size}}function h(t,e,r,n,i,a){var o,s=t.length-1,c=new Array(s),u=l(r,n,t,i,a);for(o=0;o<s;o++){var f=(e||[])[o];c[o]=void 0===f?[u(t[o]),u(t[o+1],!0)]:[f,f]}return c}e.exports=function(t,e){var r,l,p,d,m=i.getFromId(t,e.xaxis),g=i.getFromId(t,e.yaxis),v=e.xcalendar,y=e.ycalendar,x=function(t){return m.r2c(t,0,v)},b=function(t){return g.r2c(t,0,y)},_=c(t,e,m,"x"),w=_[0],T=_[1],k=c(t,e,g,"y"),A=k[0],M=k[1],S=e._length;T.length>S&&T.splice(S,T.length-S),M.length>S&&M.splice(S,M.length-S);var E=[],L=[],C=[],P="string"==typeof w.size,I="string"==typeof A.size,O=[],z=[],D=P?O:w,R=I?z:A,F=0,B=[],N=[],j=e.histnorm,U=e.histfunc,V=-1!==j.indexOf("density"),H="max"===U||"min"===U?null:0,q=a.count,G=o[j],Y=!1,W=[],X=[],Z="z"in e?e.z:"marker"in e&&Array.isArray(e.marker.color)?e.marker.color:"";Z&&"count"!==U&&(Y="avg"===U,q=a[U]);var J=w.size,K=x(w.start),Q=x(w.end)+(K-i.tickIncrement(K,J,!1,v))/1e6;for(r=K;r<Q;r=i.tickIncrement(r,J,!1,v))L.push(H),O.push(r),Y&&C.push(0);O.push(r);var $,tt=L.length,et=(r-K)/tt,rt=($=K+et/2,m.c2r($,0,v)),nt=A.size,it=b(A.start),at=b(A.end)+(it-i.tickIncrement(it,nt,!1,y))/1e6;for(r=it;r<at;r=i.tickIncrement(r,nt,!1,y)){E.push(L.slice()),z.push(r);var ot=new Array(tt);for(l=0;l<tt;l++)ot[l]=[];N.push(ot),Y&&B.push(C.slice())}z.push(r);var st=E.length,lt=(r-it)/st,ct=function(t){return g.c2r(t,0,y)}(it+lt/2);V&&(W=u(L.length,D,et,P),X=u(E.length,R,lt,I)),P||"date"!==m.type||(D=f(x,D)),I||"date"!==g.type||(R=f(b,R));var ut=!0,ft=!0,ht=new Array(tt),pt=new Array(st),dt=1/0,mt=1/0,gt=1/0,vt=1/0;for(r=0;r<S;r++){var yt=T[r],xt=M[r];p=n.findBin(yt,D),d=n.findBin(xt,R),p>=0&&p<tt&&d>=0&&d<st&&(F+=q(p,r,E[d],Z,B[d]),N[d][p].push(r),ut&&(void 0===ht[p]?ht[p]=yt:ht[p]!==yt&&(ut=!1)),ft&&(void 0===pt[d]?pt[d]=xt:pt[d]!==xt&&(ft=!1)),dt=Math.min(dt,yt-O[p]),mt=Math.min(mt,O[p+1]-yt),gt=Math.min(gt,xt-z[d]),vt=Math.min(vt,z[d+1]-xt))}if(Y)for(d=0;d<st;d++)F+=s(E[d],B[d]);if(G)for(d=0;d<st;d++)G(E[d],F,W,X[d]);return{x:T,xRanges:h(O,ut&&ht,dt,mt,m,v),x0:rt,dx:et,y:M,yRanges:h(z,ft&&pt,gt,vt,g,y),y0:ct,dy:lt,z:E,pts:N}}},{"../../lib":498,"../../plots/cartesian/axes":549,"../histogram/average":808,"../histogram/bin_functions":810,"../histogram/bin_label_vals":811,"../histogram/calc":812,"../histogram/norm_functions":819}],822:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./sample_defaults"),a=t("../heatmap/style_defaults"),o=t("../../components/colorscale/defaults"),s=t("../heatmap/label_defaults"),l=t("./attributes");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,l,r,i)}i(t,e,u,c),!1!==e.visible&&(a(t,e,u,c),o(t,e,c,u,{prefix:"",cLetter:"z"}),u("hovertemplate"),s(u,c),u("xhoverformat"),u("yhoverformat"))}},{"../../components/colorscale/defaults":371,"../../lib":498,"../heatmap/label_defaults":797,"../heatmap/style_defaults":801,"./attributes":820,"./sample_defaults":825}],823:[function(t,e,r){"use strict";var n=t("../heatmap/hover"),i=t("../../plots/cartesian/axes").hoverLabelText;e.exports=function(t,e,r,a,o){var s=n(t,e,r,a,o);if(s){var l=(t=s[0]).index,c=l[0],u=l[1],f=t.cd[0],h=f.trace,p=f.xRanges[u],d=f.yRanges[c];return t.xLabel=i(t.xa,[p[0],p[1]],h.xhoverformat),t.yLabel=i(t.ya,[d[0],d[1]],h.yhoverformat),s}}},{"../../plots/cartesian/axes":549,"../heatmap/hover":794}],824:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../histogram/cross_trace_defaults"),calc:t("../heatmap/calc"),plot:t("../heatmap/plot"),layerName:"heatmaplayer",colorbar:t("../heatmap/colorbar"),style:t("../heatmap/style"),hoverPoints:t("./hover"),eventData:t("../histogram/event_data"),moduleType:"trace",name:"histogram2d",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","histogram","showLegend"],meta:{}}},{"../../plots/cartesian":563,"../heatmap/calc":788,"../heatmap/colorbar":790,"../heatmap/plot":799,"../heatmap/style":800,"../histogram/cross_trace_defaults":814,"../histogram/event_data":816,"./attributes":820,"./defaults":822,"./hover":823}],825:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports=function(t,e,r,a){var o=r("x"),s=r("y"),l=i.minRowLength(o),c=i.minRowLength(s);l&&c?(e._length=Math.min(l,c),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],a),(r("z")||r("marker.color"))&&r("histfunc"),r("histnorm"),r("autobinx"),r("autobiny")):e.visible=!1}},{"../../lib":498,"../../registry":633}],826:[function(t,e,r){"use strict";var n=t("../histogram2d/attributes"),i=t("../contour/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,s=t("../../lib/extend").extendFlat;e.exports=s({x:n.x,y:n.y,z:n.z,marker:n.marker,histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:n.xbins,nbinsy:n.nbinsy,ybins:n.ybins,autobinx:n.autobinx,autobiny:n.autobiny,bingroup:n.bingroup,xbingroup:n.xbingroup,ybingroup:n.ybingroup,autocontour:i.autocontour,ncontours:i.ncontours,contours:i.contours,line:{color:i.line.color,width:s({},i.line.width,{dflt:.5}),dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},xhoverformat:o("x"),yhoverformat:o("y"),zhoverformat:o("z",1),hovertemplate:n.hovertemplate,texttemplate:i.texttemplate,textfont:i.textfont},a("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../contour/attributes":730,"../histogram2d/attributes":820}],827:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../histogram2d/sample_defaults"),a=t("../contour/contours_defaults"),o=t("../contour/style_defaults"),s=t("../heatmap/label_defaults"),l=t("./attributes");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,l,r,i)}i(t,e,u,c),!1!==e.visible&&(a(t,e,u,(function(r){return n.coerce2(t,e,l,r)})),o(t,e,u,c),u("xhoverformat"),u("yhoverformat"),u("hovertemplate"),e.contours&&"heatmap"===e.contours.coloring&&s(u,c))}},{"../../lib":498,"../contour/contours_defaults":737,"../contour/style_defaults":751,"../heatmap/label_defaults":797,"../histogram2d/sample_defaults":825,"./attributes":826}],828:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../histogram/cross_trace_defaults"),calc:t("../contour/calc"),plot:t("../contour/plot").plot,layerName:"contourlayer",style:t("../contour/style"),colorbar:t("../contour/colorbar"),hoverPoints:t("../contour/hover"),moduleType:"trace",name:"histogram2dcontour",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","contour","histogram","showLegend"],meta:{}}},{"../../plots/cartesian":563,"../contour/calc":731,"../contour/colorbar":733,"../contour/hover":743,"../contour/plot":748,"../contour/style":750,"../histogram/cross_trace_defaults":814,"./attributes":826,"./defaults":827}],829:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../components/colorscale/attributes"),o=t("../../plots/domain").attributes,s=t("../pie/attributes"),l=t("../sunburst/attributes"),c=t("../treemap/attributes"),u=t("../treemap/constants"),f=t("../../lib/extend").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{orientation:{valType:"enumerated",values:["v","h"],dflt:"h",editType:"plot"},flip:c.tiling.flip,pad:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"calc"},marker:f({colors:l.marker.colors,line:l.marker.line,editType:"calc"},a("marker",{colorAttr:"colors",anim:!1})),leaf:l.leaf,pathbar:c.pathbar,text:s.text,textinfo:l.textinfo,texttemplate:i({editType:"plot"},{keys:u.eventDataKeys.concat(["label","value"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:u.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:c.outsidetextfont,textposition:c.textposition,sort:s.sort,root:l.root,domain:o({name:"icicle",trace:!0,editType:"calc"})}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/domain":579,"../../plots/template_attributes":628,"../pie/attributes":896,"../sunburst/attributes":1044,"../treemap/attributes":1070,"../treemap/constants":1073}],830:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="icicle",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":614}],831:[function(t,e,r){"use strict";var n=t("../sunburst/calc");r.calc=function(t,e){return n.calc(t,e)},r.crossTraceCalc=function(t){return n._runCrossTraceCalc("icicle",t)}},{"../sunburst/calc":1046}],832:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText,l=t("../bar/constants").TEXTPAD,c=t("../../components/colorscale"),u=c.hasColorscale,f=c.handleDefaults;e.exports=function(t,e,r,c){function h(r,a){return n.coerce(t,e,i,r,a)}var p=h("labels"),d=h("parents");if(p&&p.length&&d&&d.length){var m=h("values");m&&m.length?h("branchvalues"):h("count"),h("level"),h("maxdepth"),h("tiling.orientation"),h("tiling.flip"),h("tiling.pad");var g=h("text");h("texttemplate"),e.texttemplate||h("textinfo",Array.isArray(g)?"text+label":"label"),h("hovertext"),h("hovertemplate");var v=h("pathbar.visible");s(t,e,c,h,"auto",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h("textposition"),h("marker.line.width")&&h("marker.line.color",c.paper_bgcolor),h("marker.colors");var y=e._hasColorscale=u(t,"marker","colors")||(t.marker||{}).coloraxis;y&&f(t,e,c,h,{prefix:"marker.",cLetter:"c"}),h("leaf.opacity",y?1:.7),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h("pathbar.thickness",e.pathbar.textfont.size+2*l),h("pathbar.side"),h("pathbar.edgeshape")),h("sort"),h("root.color"),o(e,c,h),e._length=null}else e.visible=!1}},{"../../components/color":361,"../../components/colorscale":373,"../../lib":498,"../../plots/domain":579,"../bar/constants":645,"../bar/defaults":647,"./attributes":829}],833:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("../treemap/constants"),u=t("../sunburst/helpers"),f=t("../sunburst/fx"),h=t("../sunburst/plot").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,A=d.makeUpdateTextInterpolator,M=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf("left"),C=-1!==E.textposition.indexOf("right"),P=-1!==E.textposition.indexOf("bottom"),I=s(r,[m,g],{flipX:E.tiling.flip.indexOf("x")>-1,flipY:E.tiling.flip.indexOf("y")>-1,orientation:E.tiling.orientation,pad:{inner:E.tiling.pad},maxDepth:E._maxDepth}).descendants(),O=1/0,z=-1/0;I.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),z=Math.max(z,e))})),p=p.data(I,u.getPtId),E._maxVisibleLayers=isFinite(z)?z-O+1:0,p.enter().append("g").classed("slice",!0),T(p,!1,{},[m,g],x),p.order();var D=null;if(w&&M){var R=u.getPtId(M);p.each((function(t){null===D&&u.getPtId(t)===R&&(D={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})}))}var F=function(){return D||{x0:0,x1:m,y0:0,y1:g}},B=p;return w&&(B=B.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!1,isTransitioning:!1})}))),B.each((function(s){s._x0=v(s.x0),s._x1=v(s.x1),s._y0=y(s.y0),s._y1=y(s.y1),s._hoverX=v(s.x1-E.tiling.pad),s._hoverY=y(P?s.y1-E.tiling.pad/2:s.y0+E.tiling.pad/2);var p=n.select(this),d=i.ensureSingle(p,"path","surface",(function(t){t.style("pointer-events","all")}));w?d.transition().attrTween("d",(function(t){var e=k(t,!1,F(),[m,g],{orientation:E.tiling.orientation,flipX:E.tiling.flip.indexOf("x")>-1,flipY:E.tiling.flip.indexOf("y")>-1});return function(t){return x(e(t))}})):d.attr("d",x),p.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{isTransitioning:t._transitioning}),d.call(l,s,E,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text="":s._text=h(s,r,E,e,S)||"";var T=i.ensureSingle(p,"g","slicetext"),M=i.ensureSingle(T,"text","",(function(t){t.attr("data-notex",1)})),I=i.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));M.text(s._text||" ").classed("slicetext",!0).attr("text-anchor",C?"end":L?"start":"middle").call(a.font,I).call(o.convertToTspans,t),s.textBB=a.bBox(M.node()),s.transform=b(s,{fontSize:I.size}),s.transform.fontSize=I.size,w?M.transition().attrTween("transform",(function(t){var e=A(t,!1,F(),[m,g]);return function(t){return _(e(t))}})):M.attr("transform",_(s))})),D}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../sunburst/fx":1049,"../sunburst/helpers":1050,"../sunburst/plot":1054,"../treemap/constants":1073,"./partition":837,"./style":839,"@plotly/d3":58}],834:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"icicle",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":940,"./attributes":829,"./base_plot":830,"./calc":831,"./defaults":832,"./layout_attributes":835,"./layout_defaults":836,"./plot":838,"./style":839}],835:[function(t,e,r){"use strict";e.exports={iciclecolorway:{valType:"colorlist",editType:"calc"},extendiciclecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],836:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("iciclecolorway",e.colorway),r("extendiciclecolors")}},{"../../lib":498,"./layout_attributes":835}],837:[function(t,e,r){"use strict";var n=t("d3-hierarchy"),i=t("../treemap/flip_tree");e.exports=function(t,e,r){var a=r.flipX,o=r.flipY,s="h"===r.orientation,l=r.maxDepth,c=e[0],u=e[1];l&&(c=(t.height+1)*e[0]/Math.min(t.height+1,l),u=(t.height+1)*e[1]/Math.min(t.height+1,l));var f=n.partition().padding(r.pad.inner).size(s?[e[1],c]:[e[0],u])(t);return(s||a||o)&&i(f,e,{swapXY:s,flipX:a,flipY:o}),f}},{"../treemap/flip_tree":1078,"d3-hierarchy":110}],838:[function(t,e,r){"use strict";var n=t("../treemap/draw"),i=t("./draw_descendants");e.exports=function(t,e,r,a){return n(t,e,r,a,{type:"icicle",drawDescendants:i})}},{"../treemap/draw":1075,"./draw_descendants":833}],839:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._iciclelayer.selectAll(".trace");o(t,e,"icicle"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":361,"../../lib":498,"../bar/uniform_text":659,"@plotly/d3":58}],840:[function(t,e,r){"use strict";for(var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../lib/extend").extendFlat,o=t("./constants").colormodel,s=["rgb","rgba","rgba256","hsl","hsla"],l=[],c=[],u=0;u<s.length;u++){var f=o[s[u]];l.push("For the `"+s[u]+"` colormodel, it is ["+(f.zminDflt||f.min).join(", ")+"]."),c.push("For the `"+s[u]+"` colormodel, it is ["+(f.zmaxDflt||f.max).join(", ")+"].")}e.exports=a({source:{valType:"string",editType:"calc"},z:{valType:"data_array",editType:"calc"},colormodel:{valType:"enumerated",values:s,editType:"calc"},zsmooth:{valType:"enumerated",values:["fast",!1],dflt:!1,editType:"plot"},zmin:{valType:"info_array",items:[{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"}],editType:"calc"},zmax:{valType:"info_array",items:[{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"}],editType:"calc"},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dx:{valType:"number",dflt:1,editType:"calc"},dy:{valType:"number",dflt:1,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"data_array",editType:"plot"},hoverinfo:a({},n.hoverinfo,{flags:["x","y","z","color","name","text"],dflt:"x+y+z+text+name"}),hovertemplate:i({},{keys:["z","color","colormodel"]}),transforms:void 0})},{"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"./constants":842}],841:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constants"),a=t("fast-isnumeric"),o=t("../../plots/cartesian/axes"),s=t("../../lib").maxRowLength,l=t("./helpers").getImageSize;function c(t,e,r,i){return function(a){return n.constrain((a-t)*e,r,i)}}function u(t,e){return function(r){return n.constrain(r,t,e)}}e.exports=function(t,e){var r,n;if(e._hasZ)r=e.z.length,n=s(e.z);else if(e._hasSource){var f=l(e.source);r=f.height,n=f.width}var h,p=o.getFromId(t,e.xaxis||"x"),d=o.getFromId(t,e.yaxis||"y"),m=p.d2c(e.x0)-e.dx/2,g=d.d2c(e.y0)-e.dy/2,v=[m,m+n*e.dx],y=[g,g+r*e.dy];if(p&&"log"===p.type)for(h=0;h<n;h++)v.push(m+h*e.dx);if(d&&"log"===d.type)for(h=0;h<r;h++)y.push(g+h*e.dy);return e._extremes[p._id]=o.findExtremes(p,v),e._extremes[d._id]=o.findExtremes(d,y),e._scaler=function(t){var e=i.colormodel[t.colormodel],r=(e.colormodel||t.colormodel).length;t._sArray=[];for(var n=0;n<r;n++)e.min[n]!==t.zmin[n]||e.max[n]!==t.zmax[n]?t._sArray.push(c(t.zmin[n],(e.max[n]-e.min[n])/(t.zmax[n]-t.zmin[n]),e.min[n],e.max[n])):t._sArray.push(u(e.min[n],e.max[n]));return function(e){for(var n=e.slice(0,r),i=0;i<r;i++){var o=n[i];if(!a(o))return!1;n[i]=t._sArray[i](o)}return n}}(e),[{x0:m,y0:g,z:e.z,w:n,h:r}]}},{"../../lib":498,"../../plots/cartesian/axes":549,"./constants":842,"./helpers":845,"fast-isnumeric":185}],842:[function(t,e,r){"use strict";e.exports={colormodel:{rgb:{min:[0,0,0],max:[255,255,255],fmt:function(t){return t.slice(0,3)},suffix:["","",""]},rgba:{min:[0,0,0,0],max:[255,255,255,1],fmt:function(t){return t.slice(0,4)},suffix:["","","",""]},rgba256:{colormodel:"rgba",zminDflt:[0,0,0,0],zmaxDflt:[255,255,255,255],min:[0,0,0,0],max:[255,255,255,1],fmt:function(t){return t.slice(0,4)},suffix:["","","",""]},hsl:{min:[0,0,0],max:[360,100,100],fmt:function(t){var e=t.slice(0,3);return e[1]=e[1]+"%",e[2]=e[2]+"%",e},suffix:["\xb0","%","%"]},hsla:{min:[0,0,0,0],max:[360,100,100,1],fmt:function(t){var e=t.slice(0,4);return e[1]=e[1]+"%",e[2]=e[2]+"%",e},suffix:["\xb0","%","%",""]}},pixelatedStyle:["image-rendering: optimizeSpeed","image-rendering: -moz-crisp-edges","image-rendering: -o-crisp-edges","image-rendering: -webkit-optimize-contrast","image-rendering: optimize-contrast","image-rendering: crisp-edges","image-rendering: pixelated",""].join("; ")}},{}],843:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./constants"),o=t("../../snapshot/helpers").IMAGE_URL_PREFIX;e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("source"),e.source&&!e.source.match(o)&&delete e.source,e._hasSource=!!e.source;var s,l=r("z");(e._hasZ=!(void 0===l||!l.length||!l[0]||!l[0].length),e._hasZ||e._hasSource)?(r("x0"),r("y0"),r("dx"),r("dy"),e._hasZ?(r("colormodel","rgb"),r("zmin",(s=a.colormodel[e.colormodel]).zminDflt||s.min),r("zmax",s.zmaxDflt||s.max)):e._hasSource&&(e.colormodel="rgba256",s=a.colormodel[e.colormodel],e.zmin=s.zminDflt,e.zmax=s.zmaxDflt),r("zsmooth"),r("text"),r("hovertext"),r("hovertemplate"),e._length=null):e.visible=!1}},{"../../lib":498,"../../snapshot/helpers":637,"./attributes":840,"./constants":842}],844:[function(t,e,r){"use strict";e.exports=function(t,e){return"xVal"in e&&(t.x=e.xVal),"yVal"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t.color=e.color,t.colormodel=e.trace.colormodel,t.z||(t.z=e.color),t}},{}],845:[function(t,e,r){"use strict";var n=t("probe-image-size/sync"),i=t("../../snapshot/helpers").IMAGE_URL_PREFIX,a=t("buffer/").Buffer;r.getImageSize=function(t){var e=t.replace(i,""),r=new a(e,"base64");return n(r)}},{"../../snapshot/helpers":637,"buffer/":80,"probe-image-size/sync":271}],846:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("./constants");e.exports=function(t,e,r){var o=t.cd[0],s=o.trace,l=t.xa,c=t.ya;if(!(n.inbox(e-o.x0,e-(o.x0+o.w*s.dx),0)>0||n.inbox(r-o.y0,r-(o.y0+o.h*s.dy),0)>0)){var u,f=Math.floor((e-o.x0)/s.dx),h=Math.floor(Math.abs(r-o.y0)/s.dy);if(s._hasZ?u=o.z[h][f]:s._hasSource&&(u=s._canvas.el.getContext("2d").getImageData(f,h,1,1).data),u){var p,d=o.hi||s.hoverinfo;if(d){var m=d.split("+");-1!==m.indexOf("all")&&(m=["color"]),-1!==m.indexOf("color")&&(p=!0)}var g,v=a.colormodel[s.colormodel],y=v.colormodel||s.colormodel,x=y.length,b=s._scaler(u),_=v.suffix,w=[];(s.hovertemplate||p)&&(w.push("["+[b[0]+_[0],b[1]+_[1],b[2]+_[2]].join(", ")),4===x&&w.push(", "+b[3]+_[3]),w.push("]"),w=w.join(""),t.extraText=y.toUpperCase()+": "+w),Array.isArray(s.hovertext)&&Array.isArray(s.hovertext[h])?g=s.hovertext[h][f]:Array.isArray(s.text)&&Array.isArray(s.text[h])&&(g=s.text[h][f]);var T=c.c2p(o.y0+(h+.5)*s.dy),k=o.x0+(f+.5)*s.dx,A=o.y0+(h+.5)*s.dy,M="["+u.slice(0,s.colormodel.length).join(", ")+"]";return[i.extendFlat(t,{index:[h,f],x0:l.c2p(o.x0+f*s.dx),x1:l.c2p(o.x0+(f+1)*s.dx),y0:T,y1:T,color:b,xVal:k,xLabelVal:k,yVal:A,yLabelVal:A,zLabelVal:M,text:g,hovertemplateLabels:{zLabel:M,colorLabel:w,"color[0]Label":b[0]+_[0],"color[1]Label":b[1]+_[1],"color[2]Label":b[2]+_[2],"color[3]Label":b[3]+_[3]}})]}}}},{"../../components/fx":401,"../../lib":498,"./constants":842}],847:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover"),eventData:t("./event_data"),moduleType:"trace",name:"image",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","noSortingByValue"],animatable:!1,meta:{}}},{"../../plots/cartesian":563,"./attributes":840,"./calc":841,"./defaults":843,"./event_data":844,"./hover":846,"./plot":848,"./style":849}],848:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.strTranslate,o=t("../../constants/xmlns_namespaces"),s=t("./constants"),l=i.isIOS()||i.isSafari()||i.isIE();e.exports=function(t,e,r,c){var u=e.xaxis,f=e.yaxis,h=!(l||t._context._exportedPlot);i.makeTraceGroups(c,r,"im").each((function(e){var r=n.select(this),l=e[0],c=l.trace,p=("fast"===c.zsmooth||!1===c.zsmooth&&h)&&!c._hasZ&&c._hasSource&&"linear"===u.type&&"linear"===f.type;c._realImage=p;var d,m,g,v,y,x,b=l.z,_=l.x0,w=l.y0,T=l.w,k=l.h,A=c.dx,M=c.dy;for(x=0;void 0===d&&x<T;)d=u.c2p(_+x*A),x++;for(x=T;void 0===m&&x>0;)m=u.c2p(_+x*A),x--;for(x=0;void 0===v&&x<k;)v=f.c2p(w+x*M),x++;for(x=k;void 0===y&&x>0;)y=f.c2p(w+x*M),x--;if(m<d&&(g=m,m=d,d=g),y<v&&(g=v,v=y,y=g),!p){d=Math.max(-.5*u._length,d),m=Math.min(1.5*u._length,m),v=Math.max(-.5*f._length,v),y=Math.min(1.5*f._length,y)}var S=Math.round(m-d),E=Math.round(y-v);if(S<=0||E<=0){r.selectAll("image").data([]).exit().remove()}else{var L=r.selectAll("image").data([e]);L.enter().append("svg:image").attr({xmlns:o.svg,preserveAspectRatio:"none"}),L.exit().remove();var C=!1===c.zsmooth?s.pixelatedStyle:"";if(p){var P=i.simpleMap(u.range,u.r2l),I=i.simpleMap(f.range,f.r2l),O=P[1]<P[0],z=I[1]>I[0];if(O||z){var D=d+S/2,R=v+E/2;C+="transform:"+a(D+"px",R+"px")+"scale("+(O?-1:1)+","+(z?-1:1)+")"+a(-D+"px",-R+"px")+";"}}L.attr("style",C);var F=new Promise((function(t){if(c._hasZ)t();else if(c._hasSource)if(c._canvas&&c._canvas.el.width===T&&c._canvas.el.height===k&&c._canvas.source===c.source)t();else{var e=document.createElement("canvas");e.width=T,e.height=k;var r=e.getContext("2d");c._image=c._image||new Image;var n=c._image;n.onload=function(){r.drawImage(n,0,0),c._canvas={el:e,source:c.source},t()},n.setAttribute("src",c.source)}})).then((function(){var t;if(c._hasZ)t=B((function(t,e){return b[e][t]})).toDataURL("image/png");else if(c._hasSource)if(p)t=c.source;else{var e=c._canvas.el.getContext("2d").getImageData(0,0,T,k).data;t=B((function(t,r){var n=4*(r*T+t);return[e[n],e[n+1],e[n+2],e[n+3]]})).toDataURL("image/png")}L.attr({"xlink:href":t,height:E,width:S,x:d,y:v})}));t._promises.push(F)}function B(t){var e=document.createElement("canvas");e.width=S,e.height=E;var r,n=e.getContext("2d"),a=function(t){return i.constrain(Math.round(u.c2p(_+t*A)-d),0,S)},o=function(t){return i.constrain(Math.round(f.c2p(w+t*M)-v),0,E)},h=s.colormodel[c.colormodel],p=h.colormodel||c.colormodel,m=h.fmt;for(x=0;x<l.w;x++){var g=a(x),y=a(x+1);if(y!==g&&!isNaN(y)&&!isNaN(g))for(var b=0;b<l.h;b++){var T=o(b),k=o(b+1);k===T||isNaN(k)||isNaN(T)||!t(x,b)||(r=c._scaler(t(x,b)),n.fillStyle=r?p+"("+m(r).join(",")+")":"rgba(0,0,0,0)",n.fillRect(g,T,y-g,k-T))}}return e}}))}},{"../../constants/xmlns_namespaces":475,"../../lib":498,"./constants":842,"@plotly/d3":58}],849:[function(t,e,r){"use strict";var n=t("@plotly/d3");e.exports=function(t){n.select(t).selectAll(".im image").style("opacity",(function(t){return t[0].trace.opacity}))}},{"@plotly/d3":58}],850:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../lib/extend").extendDeep,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../components/color/attributes"),l=t("../../plots/domain").attributes,c=t("../../plots/cartesian/layout_attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../constants/delta.js"),h=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,p=o({editType:"plot",colorEditType:"plot"}),d={color:{valType:"color",editType:"plot"},line:{color:{valType:"color",dflt:s.defaultLine,editType:"plot"},width:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"calc"},thickness:{valType:"number",min:0,max:1,dflt:1,editType:"plot"},editType:"calc"},m={valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},g=u("step",i({},d,{range:m}));e.exports={mode:{valType:"flaglist",editType:"calc",flags:["number","delta","gauge"],dflt:"number"},value:{valType:"number",editType:"calc",anim:!0},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},domain:l({name:"indicator",trace:!0,editType:"calc"}),title:{text:{valType:"string",editType:"plot"},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},font:n({},p,{}),editType:"plot"},number:{valueformat:{valType:"string",dflt:"",editType:"plot",description:h("value")},font:n({},p,{}),prefix:{valType:"string",dflt:"",editType:"plot"},suffix:{valType:"string",dflt:"",editType:"plot"},editType:"plot"},delta:{reference:{valType:"number",editType:"calc"},position:{valType:"enumerated",values:["top","bottom","left","right"],dflt:"bottom",editType:"plot"},relative:{valType:"boolean",editType:"plot",dflt:!1},valueformat:{valType:"string",editType:"plot",description:h("value")},increasing:{symbol:{valType:"string",dflt:f.INCREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:f.INCREASING.COLOR,editType:"plot"},editType:"plot"},decreasing:{symbol:{valType:"string",dflt:f.DECREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:f.DECREASING.COLOR,editType:"plot"},editType:"plot"},font:n({},p,{}),editType:"calc"},gauge:{shape:{valType:"enumerated",editType:"plot",dflt:"angular",values:["angular","bullet"]},bar:i({},d,{color:{dflt:"green"}}),bgcolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:s.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:1,editType:"plot"},axis:a({range:m,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:"outside"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,ticklabelstep:c.ticklabelstep,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:"plot"},"plot"),steps:g,threshold:{line:{color:n({},d.line.color,{}),width:n({},d.line.width,{dflt:1}),editType:"plot"},thickness:n({},d.thickness,{dflt:.85}),value:{valType:"number",editType:"calc",dflt:!1},editType:"plot"},editType:"plot"}}},{"../../components/color/attributes":360,"../../constants/delta.js":468,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../../plots/cartesian/axis_format_attributes":552,"../../plots/cartesian/layout_attributes":564,"../../plots/domain":579,"../../plots/font_attributes":580}],851:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="indicator",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":614}],852:[function(t,e,r){"use strict";e.exports={calc:function(t,e){var r=[],n=e.value;"number"!=typeof e._lastValue&&(e._lastValue=e.value);var i=e._lastValue,a=i;return e._hasDelta&&"number"==typeof e.delta.reference&&(a=e.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}}},{}],853:[function(t,e,r){"use strict";e.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}},{}],854:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../../plot_api/plot_template"),s=t("../../plots/array_container_defaults"),l=t("./constants.js"),c=t("../../plots/cartesian/tick_value_defaults"),u=t("../../plots/cartesian/tick_mark_defaults"),f=t("../../plots/cartesian/tick_label_defaults"),h=t("../../plots/cartesian/prefix_suffix_defaults");function p(t,e){function r(r,a){return n.coerce(t,e,i.gauge.steps,r,a)}r("color"),r("line.color"),r("line.width"),r("range"),r("thickness")}e.exports={supplyDefaults:function(t,e,r,d){function m(r,a){return n.coerce(t,e,i,r,a)}a(e,d,m),m("mode"),e._hasNumber=-1!==e.mode.indexOf("number"),e._hasDelta=-1!==e.mode.indexOf("delta"),e._hasGauge=-1!==e.mode.indexOf("gauge");var g=m("value");e._range=[0,"number"==typeof g?1.5*g:1];var v,y,x,b,_,w,T=new Array(2);function k(t,e){return n.coerce(x,b,i.gauge,t,e)}function A(t,e){return n.coerce(_,w,i.gauge.axis,t,e)}if(e._hasNumber&&(m("number.valueformat"),m("number.font.color",d.font.color),m("number.font.family",d.font.family),m("number.font.size"),void 0===e.number.font.size&&(e.number.font.size=l.defaultNumberFontSize,T[0]=!0),m("number.prefix"),m("number.suffix"),v=e.number.font.size),e._hasDelta&&(m("delta.font.color",d.font.color),m("delta.font.family",d.font.family),m("delta.font.size"),void 0===e.delta.font.size&&(e.delta.font.size=(e._hasNumber?.5:1)*(v||l.defaultNumberFontSize),T[1]=!0),m("delta.reference",e.value),m("delta.relative"),m("delta.valueformat",e.delta.relative?"2%":""),m("delta.increasing.symbol"),m("delta.increasing.color"),m("delta.decreasing.symbol"),m("delta.decreasing.color"),m("delta.position"),y=e.delta.font.size),e._scaleNumbers=(!e._hasNumber||T[0])&&(!e._hasDelta||T[1])||!1,m("title.font.color",d.font.color),m("title.font.family",d.font.family),m("title.font.size",.25*(v||y||l.defaultNumberFontSize)),m("title.text"),e._hasGauge){(x=t.gauge)||(x={}),b=o.newContainer(e,"gauge"),k("shape"),(e._isBullet="bullet"===e.gauge.shape)||m("title.align","center"),(e._isAngular="angular"===e.gauge.shape)||m("align","center"),k("bgcolor",d.paper_bgcolor),k("borderwidth"),k("bordercolor"),k("bar.color"),k("bar.line.color"),k("bar.line.width"),k("bar.thickness",l.valueThickness*("bullet"===e.gauge.shape?.5:1)),s(x,b,{name:"steps",handleItemDefaults:p}),k("threshold.value"),k("threshold.thickness"),k("threshold.line.width"),k("threshold.line.color"),_={},x&&(_=x.axis||{}),w=o.newContainer(b,"axis"),A("visible"),e._range=A("range",e._range);var M={outerTicks:!0};c(_,w,A,"linear"),h(_,w,A,"linear",M),f(_,w,A,"linear",M),u(_,w,A,M)}else m("title.align","center"),m("align","center"),e._isAngular=e._isBullet=!1;e._length=null}}},{"../../lib":498,"../../plot_api/plot_template":538,"../../plots/array_container_defaults":544,"../../plots/cartesian/prefix_suffix_defaults":568,"../../plots/cartesian/tick_label_defaults":573,"../../plots/cartesian/tick_mark_defaults":574,"../../plots/cartesian/tick_value_defaults":575,"../../plots/domain":579,"./attributes":850,"./constants.js":853}],855:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"indicator",basePlotModule:t("./base_plot"),categories:["svg","noOpacity","noHover"],animatable:!0,attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,calc:t("./calc").calc,plot:t("./plot"),meta:{}}},{"./attributes":850,"./base_plot":851,"./calc":852,"./defaults":854,"./plot":856}],856:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolate,a=t("d3-interpolate").interpolateNumber,o=t("../../lib"),s=o.strScale,l=o.strTranslate,c=o.rad2deg,u=t("../../constants/alignment").MID_SHIFT,f=t("../../components/drawing"),h=t("./constants"),p=t("../../lib/svg_text_utils"),d=t("../../plots/cartesian/axes"),m=t("../../plots/cartesian/axis_defaults"),g=t("../../plots/cartesian/position_defaults"),v=t("../../plots/cartesian/layout_attributes"),y=t("../../components/color"),x={left:"start",center:"middle",right:"end"},b={left:0,center:.5,right:1},_=/[yzafpn\xb5mkMGTPEZY]/;function w(t){return t&&t.duration>0}function T(t){t.each((function(t){y.stroke(n.select(this),t.line.color)})).each((function(t){y.fill(n.select(this),t.color)})).style("stroke-width",(function(t){return t.line.width}))}function k(t,e,r){var n=t._fullLayout,i=o.extendFlat({type:"linear",ticks:"outside",range:r,showline:!0},e),a={type:"linear",_id:"x"+e._id},s={letter:"x",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return o.coerce(i,a,v,t,e)}return m(i,a,l,s,n),g(i,a,l,s),a}function A(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+"x"+r]}function M(t,e,r,i){var a=document.createElementNS("http://www.w3.org/2000/svg","text"),o=n.select(a);return o.text(t).attr("x",0).attr("y",0).attr("text-anchor",r).attr("data-unformatted",t).call(p.convertToTspans,i).call(f.font,e),f.bBox(o.node())}function S(t,e,r,n,i,a){var s="_cache"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=o.aggNums(a,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,m){var g,v=t._fullLayout;w(r)&&m&&(g=m()),o.makeTraceGroups(v._indicatorlayer,e,"trace").each((function(e){var m,E,L,C,P,I=e[0].trace,O=n.select(this),z=I._hasGauge,D=I._isAngular,R=I._isBullet,F=I.domain,B={w:v._size.w*(F.x[1]-F.x[0]),h:v._size.h*(F.y[1]-F.y[0]),l:v._size.l+v._size.w*F.x[0],r:v._size.r+v._size.w*(1-F.x[1]),t:v._size.t+v._size.h*(1-F.y[1]),b:v._size.b+v._size.h*F.y[0]},N=B.l+B.w/2,j=B.t+B.h/2,U=Math.min(B.w/2,B.h),V=h.innerRadius*U,H=I.align||"center";if(E=j,z){if(D&&(m=N,E=j+U/2,L=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*V)}),R){var q=h.bulletPadding,G=1-h.bulletNumberDomainSize+q;m=B.l+(G+(1-G)*b[H])*B.w,L=function(t){return A(t,(h.bulletNumberDomainSize-q)*B.w,B.h)}}}else m=B.l+b[H]*B.w,L=function(t){return A(t,B.w,B.h)};!function(t,e,r,i){var c,u,h,m=r[0].trace,g=i.numbersX,v=i.numbersY,T=m.align||"center",A=x[T],E=i.transitionOpts,L=i.onComplete,C=o.ensureSingle(e,"g","numbers"),P=[];m._hasNumber&&P.push("number");m._hasDelta&&(P.push("delta"),"left"===m.delta.position&&P.reverse());var I=C.selectAll("text").data(P);function O(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace("s","f").replace(/\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}I.enter().append("text"),I.attr("text-anchor",(function(){return A})).attr("class",(function(t){return t})).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),I.exit().remove();var z,D=m.mode+m.align;m._hasDelta&&(z=function(){var e=k(t,{tickformat:m.delta.valueformat},m._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=function(t){return m.delta.relative?t.relativeDelta:t.delta},s=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?m.delta.increasing.symbol:m.delta.decreasing.symbol)+e(t)},l=function(t){return t.delta>=0?m.delta.increasing.color:m.delta.decreasing.color};void 0===m._deltaLastValue&&(m._deltaLastValue=o(r[0]));var c=C.select("text.delta");function h(){c.text(s(o(r[0]),i)).call(y.fill,l(r[0])).call(p.convertToTspans,t)}return c.call(f.font,m.delta.font).call(y.fill,l({delta:m._deltaLastValue})),w(E)?c.transition().duration(E.duration).ease(E.easing).tween("text",(function(){var t=n.select(this),e=o(r[0]),c=m._deltaLastValue,u=O(m.delta.valueformat,i,c,e),f=a(c,e);return m._deltaLastValue=e,function(e){t.text(s(f(e),u)),t.call(y.fill,l({delta:f(e)}))}})).each("end",(function(){h(),L&&L()})).each("interrupt",(function(){h(),L&&L()})):h(),u=M(s(o(r[0]),i),m.delta.font,A,t),c}(),D+=m.delta.position+m.delta.font.size+m.delta.font.family+m.delta.valueformat,D+=m.delta.increasing.symbol+m.delta.decreasing.symbol,h=u);m._hasNumber&&(!function(){var e=k(t,{tickformat:m.number.valueformat},m._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=m.number.suffix,s=m.number.prefix,l=C.select("text.number");function u(){var e="number"==typeof r[0].y?s+i(r[0].y)+o:"-";l.text(e).call(f.font,m.number.font).call(p.convertToTspans,t)}w(E)?l.transition().duration(E.duration).ease(E.easing).each("end",(function(){u(),L&&L()})).each("interrupt",(function(){u(),L&&L()})).attrTween("text",(function(){var t=n.select(this),e=a(r[0].lastY,r[0].y);m._lastValue=r[0].y;var l=O(m.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(s+l(e(r))+o)}})):u(),c=M(s+i(r[0].y)+o,m.number.font,A,t)}(),D+=m.number.font.size+m.number.font.family+m.number.valueformat+m.number.suffix+m.number.prefix,h=c);if(m._hasDelta&&m._hasNumber){var R,F,B=[(c.left+c.right)/2,(c.top+c.bottom)/2],N=[(u.left+u.right)/2,(u.top+u.bottom)/2],j=.75*m.delta.font.size;"left"===m.delta.position&&(R=S(m,"deltaPos",0,-1*(c.width*b[m.align]+u.width*(1-b[m.align])+j),D,Math.min),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:u.left+R,right:c.right,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),"right"===m.delta.position&&(R=S(m,"deltaPos",0,c.width*(1-b[m.align])+u.width*b[m.align]+j,D,Math.max),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:c.left,right:u.right+R,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),"bottom"===m.delta.position&&(R=null,F=u.height,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height,bottom:c.bottom+u.height}),"top"===m.delta.position&&(R=null,F=c.top,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height-u.height,bottom:c.bottom}),z.attr({dx:R,dy:F})}(m._hasNumber||m._hasDelta)&&C.attr("transform",(function(){var t=i.numbersScaler(h);D+=t[2];var e,r=S(m,"numbersScale",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,"numbersTranslate",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll("g.angular").data(D?e:[]);Y.exit().remove();var W=O.selectAll("g.angularaxis").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr("d",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append("g").classed("angular",!0),_.attr("transform",l(b[0],b[1])),A.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),A.selectAll("g.xangularaxistick,path,text").remove(),(o=k(t,p.gauge.axis)).type="linear",o.range=p.gauge.axis.range,o._id="xangularaxis",o.ticklabeloverflow="allow",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h="inside"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:"M"+h*R+",0h"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+"rotate("+-c(e)+")"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll("g.bg-arc").data(F);B.enter().append("g").classed("bg-arc",!0).append("path"),B.select("path").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll("g.value-arc").data([p.gauge.bar]);j.enter().append("g").classed("value-arc",!0).append("path");var U=j.select("path");w(M)?(U.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll("g.threshold-arc").data(F);Y.enter().append("g").classed("threshold-arc",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove();var W=_.selectAll("g.gauge-outline").data([x]);W.enter().append("g").classed("gauge-outline",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll("g.bullet").data(R?e:[]);X.exit().remove();var Z=O.selectAll("g.bulletaxis").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(v.l,v.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:"inside"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*A})).attr("height",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll("g.bg-bullet").data(C);P.enter().append("g").classed("bg-bullet",!0).append("rect"),P.select("rect").call(L).call(T),P.exit().remove();var I=f.selectAll("g.value-bullet").data([u.gauge.bar]);I.enter().append("g").classed("value-bullet",!0).append("rect"),I.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?I.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(u.gauge.threshold.value)).attr("x2",i.c2p(u.gauge.threshold.value)).attr("y1",(1-u.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style("stroke-width",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll("g.gauge-outline").data([g]);D.enter().append("g").classed("gauge-outline",!0).append("rect"),D.select("rect").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll("text.title").data(e);J.exit().remove(),J.enter().append("text").classed("title",!0),J.attr("text-anchor",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr("transform",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{"../../components/color":361,"../../components/drawing":383,"../../constants/alignment":466,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_defaults":551,"../../plots/cartesian/layout_attributes":564,"../../plots/cartesian/position_defaults":567,"./constants":853,"@plotly/d3":58,"d3-interpolate":111}],857:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;var u=e.exports=c(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../mesh3d/attributes":862}],858:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../streamtube/calc").processGrid,a=t("../streamtube/calc").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369,"../streamtube/calc":1040}],859:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=["xyz","xzy","yxz","yzx","zxy","zyx"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,m=!1,g=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,"").replace(/\+/g,"")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return"all"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=(t[i]+e[i]+r[i])/3;return n}(r,n,i),o=Math.sqrt(1-s),l=O(a,r,o),c=O(a,n,o),u=O(a,i,o),f=e[0],h=e[1],p=e[2];return{xyzv:[[r,n,c],[c,l,r],[n,i,u],[u,c,n],[i,r,l],[l,u,i]],abc:[[f,h,-1],[-1,-1,f],[h,p,-1],[-1,-1,h],[p,f,-1],[-1,-1,p]]}}(r,n);l=u.xyzv,c=u.abc}for(var f=0;f<l.length;f++){r=l[f],n=c[f];for(var h=[],p=0;p<3;p++){var d=r[p][0],m=r[p][1],v=r[p][2],y=r[p][3],x=n[p]>-1?n[p]:L(d,m,v);h[p]=x>-1?x:I(d,m,v,R(e,y))}i=h[0],a=h[1],o=h[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++g}}function B(t,e,r,n){var i=t[3];i<r&&(i=r),i>n&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var r=[],n=0;n<4;n++){var i=e[n];r.push([t._x[i],t._y[i],t._z[i],t._value[i]])}return r}function V(t,e,r,n,i,a){a||(a=1),r=[-1,-1,-1];var o=!1,s=[N(e[0][3],n,i),N(e[1][3],n,i),N(e[2][3],n,i)];if(!s[0]&&!s[1]&&!s[2])return!1;var l=function(t,e,r){return j(e[0][3])&&j(e[1][3])&&j(e[2][3])?(F(t,e,r),!0):a<3&&V(t,e,r,S,E,++a)};if(s[0]&&s[1]&&s[2])return l(t,e,r)||o;var c=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach((function(a){if(s[a[0]]&&s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(h,u,n,i),d=B(h,f,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,o=l(t,[u,f,d],[r[a[0]],r[a[1]],-1])||o,c=!0}})),c||[[0,1,2],[1,2,0],[2,0,1]].forEach((function(a){if(s[a[0]]&&!s[a[1]]&&!s[a[2]]){var u=e[a[0]],f=e[a[1]],h=e[a[2]],p=B(f,u,n,i),d=B(h,u,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,c=!0}})),o}function H(t,e,r,n){var i=!1,a=U(e),o=[N(a[0][3],r,n),N(a[1][3],r,n),N(a[2][3],r,n),N(a[3][3],r,n)];if(!(o[0]||o[1]||o[2]||o[3]))return i;if(o[0]&&o[1]&&o[2]&&o[3])return m&&(i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(3,0,1),n(2,3,0),n(1,2,3)}(t,a,e)||i),i;var s=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]];if(m)i=F(t,[c,u,f],[e[l[0]],e[l[1]],e[l[2]]])||i;else{var p=B(h,c,r,n),d=B(h,u,r,n),g=B(h,f,r,n);i=F(null,[p,d,g],[-1,-1,-1])||i}s=!0}})),s?i:([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]],p=B(f,c,r,n),d=B(f,u,r,n),g=B(h,u,r,n),v=B(h,c,r,n);m?(i=F(t,[c,v,p],[e[l[0]],-1,-1])||i,i=F(t,[u,d,g],[e[l[1]],-1,-1])||i):i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(2,3,0)}(null,[p,d,g,v],[-1,-1,-1,-1])||i,s=!0}})),s||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach((function(l){if(o[l[0]]&&!o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],f=a[l[2]],h=a[l[3]],p=B(u,c,r,n),d=B(f,c,r,n),g=B(h,c,r,n);m?(i=F(t,[c,p,d],[e[l[0]],-1,-1])||i,i=F(t,[c,d,g],[e[l[0]],-1,-1])||i,i=F(t,[c,g,p],[e[l[0]],-1,-1])||i):i=F(null,[p,d,g],[-1,-1,-1])||i,s=!0}})),i)}function q(t,e,r,n,i,a,o,s,l,c,u){var f=!1;return d&&(D(t,"A")&&(f=H(null,[e,r,n,a],c,u)||f),D(t,"B")&&(f=H(null,[r,n,i,l],c,u)||f),D(t,"C")&&(f=H(null,[r,a,o,l],c,u)||f),D(t,"D")&&(f=H(null,[n,a,s,l],c,u)||f),D(t,"E")&&(f=H(null,[r,n,a,l],c,u)||f)),m&&(f=H(t,[r,n,a,l],c,u)||f),f}function G(t,e,r,n,i,a,o,s){return[!0===s[0]||V(t,U([e,r,n]),[e,r,n],a,o),!0===s[1]||V(t,U([n,i,e]),[n,i,e],a,o)]}function Y(t,e,r,n,i,a,o,s,l){return s?G(t,e,r,i,n,a,o,l):G(t,r,i,n,e,a,o,l)}function W(t,e,r,n,i,a,o){var s,l,c,u,f=!1,h=function(){f=V(t,[s,l,c],[-1,-1,-1],i,a)||f,f=V(t,[c,u,s],[-1,-1,-1],i,a)||f},p=o[0],d=o[1],m=o[2];return p&&(s=O(U([k(e,r-0,n-0)])[0],U([k(e-1,r-0,n-0)])[0],p),l=O(U([k(e,r-0,n-1)])[0],U([k(e-1,r-0,n-1)])[0],p),c=O(U([k(e,r-1,n-1)])[0],U([k(e-1,r-1,n-1)])[0],p),u=O(U([k(e,r-1,n-0)])[0],U([k(e-1,r-1,n-0)])[0],p),h()),d&&(s=O(U([k(e-0,r,n-0)])[0],U([k(e-0,r-1,n-0)])[0],d),l=O(U([k(e-0,r,n-1)])[0],U([k(e-0,r-1,n-1)])[0],d),c=O(U([k(e-1,r,n-1)])[0],U([k(e-1,r-1,n-1)])[0],d),u=O(U([k(e-1,r,n-0)])[0],U([k(e-1,r-1,n-0)])[0],d),h()),m&&(s=O(U([k(e-0,r-0,n)])[0],U([k(e-0,r-0,n-1)])[0],m),l=O(U([k(e-0,r-1,n)])[0],U([k(e-0,r-1,n-1)])[0],m),c=O(U([k(e-1,r-1,n)])[0],U([k(e-1,r-1,n-1)])[0],m),u=O(U([k(e-1,r-0,n)])[0],U([k(e-1,r-0,n-1)])[0],m),h()),f}function X(t,e,r,n,i,a,o,s,l,c,u,f){var h=t;return f?(d&&"even"===t&&(h=null),q(h,e,r,n,i,a,o,s,l,c,u)):(d&&"odd"===t&&(h=null),q(h,l,s,o,a,i,n,r,e,c,u))}function Z(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<w;c++)for(var u=1;u<_;u++)a.push(Y(t,k(l,u-1,c-1),k(l,u-1,c),k(l,u,c-1),k(l,u,c),r,n,(l+u+c)%2,i&&i[o]?i[o]:[])),o++;return a}function J(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<b;c++)for(var u=1;u<w;u++)a.push(Y(t,k(c-1,l,u-1),k(c,l,u-1),k(c-1,l,u),k(c,l,u),r,n,(c+l+u)%2,i&&i[o]?i[o]:[])),o++;return a}function K(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<_;c++)for(var u=1;u<b;u++)a.push(Y(t,k(u-1,c-1,l),k(u-1,c,l),k(u,c-1,l),k(u,c,l),r,n,(u+c+l)%2,i&&i[o]?i[o]:[])),o++;return a}function Q(t,e,r){for(var n=1;n<w;n++)for(var i=1;i<_;i++)for(var a=1;a<b;a++)X(t,k(a-1,i-1,n-1),k(a-1,i-1,n),k(a-1,i,n-1),k(a-1,i,n),k(a,i-1,n-1),k(a,i-1,n),k(a,i,n-1),k(a,i,n),e,r,(a+i+n)%2)}function $(t,e,r){d=!0,Q(t,e,r),d=!1}function tt(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<w;u++)for(var f=1;f<_;f++)o.push(W(t,c,f,u,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function et(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<b;u++)for(var f=1;f<w;f++)o.push(W(t,u,c,f,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function rt(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<_;u++)for(var f=1;f<b;f++)o.push(W(t,f,u,c,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function nt(t,e){for(var r=[],n=t;n<e;n++)r.push(n);return r}return function(){if(P(),function(){for(var e=0;e<b;e++)for(var r=0;r<_;r++)for(var n=0;n<w;n++){var i=k(e,r,n);I(t._x[i],t._y[i],t._z[i],t._value[i])}}(),u&&p&&(z(p),m=!0,Q(null,S,E),m=!1),c&&h){z(h);for(var e=t.surface.pattern,r=t.surface.count,s=0;s<r;s++){var f=1===r?.5:s/(r-1),d=(1-f)*S+f*E,T=Math.abs(d-A)>Math.abs(d-M)?[A,d]:[d,M];$(e,T[0],T[1])}}var L=[[Math.min(S,M),Math.max(S,M)],[Math.min(A,E),Math.max(A,E)]];["x","y","z"].forEach((function(e){for(var r=[],n=0;n<L.length;n++){var i=0,a=L[n][0],o=L[n][1],s=t.slices[e];if(s.show&&s.fill){z(s.fill);var c=[],u=[],f=[];if(s.locations.length)for(var h=0;h<s.locations.length;h++){var p=l(s.locations[h],"x"===e?v:"y"===e?y:x);0===p.distRatio?c.push(p.id):p.id>0&&(u.push(p.id),"x"===e?f.push([p.distRatio,0,0]):"y"===e?f.push([0,p.distRatio,0]):f.push([0,0,p.distRatio]))}else c=nt(1,"x"===e?b-1:"y"===e?_-1:w-1);u.length>0&&(r[i]="x"===e?tt(null,u,a,o,f,r[i]):"y"===e?et(null,u,a,o,f,r[i]):rt(null,u,a,o,f,r[i]),i++),c.length>0&&(r[i]="x"===e?Z(null,c,a,o,r[i]):"y"===e?J(null,c,a,o,r[i]):K(null,c,a,o,r[i]),i++)}var d=t.caps[e];d.show&&d.fill&&(z(d.fill),r[i]="x"===e?Z(null,[0,b-1],a,o,r[i]):"y"===e?J(null,[0,_-1],a,o,r[i]):K(null,[0,w-1],a,o,r[i]),i++)}})),0===g&&P(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=v,t._Ys=y,t._Zs=x}(),t}e.exports={findNearestOnAxis:l,generateIsoMeshes:h,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib/gl_format_color":494,"../../lib/str2rgbarray":523,"../../plots/gl3d/zip3":604}],860:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("../../components/colorscale/defaults");function s(t,e,r,n,a){var s=a("isomin"),l=a("isomax");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a("x"),u=a("y"),f=a("z"),h=a("value");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],n),a("valuehoverformat"),["x","y","z"].forEach((function(t){a(t+"hoverformat");var e="caps."+t;a(e+".show")&&a(e+".fill");var r="slices."+t;a(r+".show")&&(a(r+".fill"),a(r+".locations"))})),a("spaceframe.show")&&a("spaceframe.fill"),a("surface.show")&&(a("surface.count"),a("surface.fill"),a("surface.pattern")),a("contour.show")&&(a("contour.color"),a("contour.width")),["text","hovertext","hovertemplate","lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lighting.vertexnormalsepsilon","lighting.facenormalsepsilon","lightposition.x","lightposition.y","lightposition.z","flatshading","opacity"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:"",cLetter:"c"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{"../../components/colorscale/defaults":371,"../../lib":498,"../../registry":633,"./attributes":857}],861:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,calc:t("./calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert").createIsosurfaceTrace,moduleType:"trace",name:"isosurface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":593,"./attributes":857,"./calc":858,"./convert":859,"./defaults":860}],862:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../surface/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat;e.exports=l({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 0},n("",{colorAttr:"`intensity`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,flatshading:{valType:"boolean",dflt:!1,editType:"calc"},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:"calc"},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:"calc"},lighting:l({vertexnormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-12,editType:"calc"},facenormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-6,editType:"calc"},editType:"calc"},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:"calc"}),showlegend:l({},s.showlegend,{dflt:!1})})},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../surface/attributes":1056}],863:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369}],864:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../../stackgl_modules").delaunay_triangulate,a=t("../../../stackgl_modules").alpha_shape,o=t("../../../stackgl_modules").convex_hull,s=t("../../lib/gl_format_color").parseColorScale,l=t("../../lib/str2rgbarray"),c=t("../../components/colorscale").extractOpts,u=t("../../plots/gl3d/zip3");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.color="#fff",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=["x","y","z"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color="#fff";var x=t.intensitymode;v[x+"Intensity"]=t.intensity,v[x+"IntensityBounds"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new f(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib/gl_format_color":494,"../../lib/str2rgbarray":523,"../../plots/gl3d/zip3":604}],865:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}c(["x","y","z"])?(c(["i","j","k"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],s),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lighting.vertexnormalsepsilon","lighting.facenormalsepsilon","lightposition.x","lightposition.y","lightposition.z","flatshading","alphahull","delaunayaxis","opacity"].forEach((function(t){l(t)})),l("contour.show")&&(l("contour.color"),l("contour.width")),"intensity"in t?(l("intensity"),l("intensitymode"),a(t,e,s,l,{prefix:"",cLetter:"c"})):(e.showscale=!1,"facecolor"in t?l("facecolor"):"vertexcolor"in t?l("vertexcolor"):l("color",r)),l("text"),l("hovertext"),l("hovertemplate"),l("xhoverformat"),l("yhoverformat"),l("zhoverformat"),e._length=null):e.visible=!1):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"../../registry":633,"./attributes":862}],866:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert"),moduleType:"trace",name:"mesh3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":593,"./attributes":862,"./calc":863,"./convert":864,"./defaults":865}],867:[function(t,e,r){"use strict";var n=t("../../lib").extendFlat,i=t("../scatter/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../components/drawing/attributes").dash,s=t("../../components/fx/attributes"),l=t("../../constants/delta.js"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function h(t){return{line:{color:n({},f.color,{dflt:t}),width:f.width,dash:o,editType:"style"},editType:"style"}}e.exports={xperiod:i.xperiod,xperiod0:i.xperiod0,xperiodalignment:i.xperiodalignment,xhoverformat:a("x"),yhoverformat:a("y"),x:{valType:"data_array",editType:"calc+clearAxisTypes"},open:{valType:"data_array",editType:"calc"},high:{valType:"data_array",editType:"calc"},low:{valType:"data_array",editType:"calc"},close:{valType:"data_array",editType:"calc"},line:{width:n({},f.width,{}),dash:n({},o,{}),editType:"style"},increasing:h(c),decreasing:h(u),text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},tickwidth:{valType:"number",min:0,max:.5,dflt:.3,editType:"calc"},hoverlabel:n({},s.hoverlabel,{split:{valType:"boolean",dflt:!1,editType:"style"}})}},{"../../components/drawing/attributes":382,"../../components/fx/attributes":392,"../../constants/delta.js":468,"../../lib":498,"../../plots/cartesian/axis_format_attributes":552,"../scatter/attributes":922}],868:[function(t,e,r){"use strict";var n=t("../../lib"),i=n._,a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../../constants/numerical").BADNUM;function l(t,e,r,n){return{o:t,h:e,l:r,c:n}}function c(t,e,r,o,l,c){for(var u=l.makeCalcdata(e,"open"),f=l.makeCalcdata(e,"high"),h=l.makeCalcdata(e,"low"),p=l.makeCalcdata(e,"close"),d=Array.isArray(e.text),m=Array.isArray(e.hovertext),g=!0,v=null,y=!!e.xperiodalignment,x=[],b=0;b<o.length;b++){var _=o[b],w=u[b],T=f[b],k=h[b],A=p[b];if(_!==s&&w!==s&&T!==s&&k!==s&&A!==s){A===w?null!==v&&A!==v&&(g=A>v):g=A>w,v=A;var M=c(w,T,k,A);M.pos=_,M.yc=(w+A)/2,M.i=b,M.dir=g?"increasing":"decreasing",M.x=M.pos,M.y=[k,T],y&&(M.orig_p=r[b]),d&&(M.tx=e.text[b]),m&&(M.htx=e.hovertext[b]),x.push(M)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(h,f),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,"open:")+" ",high:i(t,"high:")+" ",low:i(t,"low:")+" ",close:i(t,"close:")+" "}}),x}e.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var c=s[a];if("ohlc"===c.type&&!0===c.visible&&c.xaxis===e._id){l.push(c);var u=e.makeCalcdata(c,"x");c._origX=u;var f=o(r,e,"x",u).vals;c._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),u=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=c(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:u/2}),p.length?(n.extendFlat(p[0].t,{wHover:u/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:c}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549}],869:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./ohlc_defaults"),a=t("../scatter/period_defaults"),o=t("./attributes");function s(t,e,r,n){r(n+".line.color"),r(n+".line.width",e.line.width),r(n+".line.dash",e.line.dash)}e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,o,r,i)}i(t,e,c,l)?(a(t,e,l,c,{x:!0}),c("xhoverformat"),c("yhoverformat"),c("line.width"),c("line.dash"),s(t,e,c,"increasing"),s(t,e,c,"decreasing"),c("text"),c("hovertext"),c("tickwidth"),l._requestRangeslider[e.xaxis]=!0):e.visible=!1}},{"../../lib":498,"../scatter/period_defaults":942,"./attributes":867,"./ohlc_defaults":872}],870:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../lib").fillText,l=t("../../constants/delta.js"),c={increasing:l.INCREASING.SYMBOL,decreasing:l.DECREASING.SYMBOL};function u(t,e,r,n){var i,s,l=t.cd,c=t.xa,u=l[0].trace,f=l[0].t,h=u.type,p="ohlc"===h?"l":"min",d="ohlc"===h?"h":"max",m=f.bPos||0,g=f.bdPos||f.tickLen,v=f.wHover,y=Math.min(1,g/Math.abs(c.r2c(c.range[1])-c.r2c(c.range[0])));function x(t){var r=function(t){return t.pos+m-e}(t);return a.inbox(r-v,r+v,i)}function b(t){var e=t[p],n=t[d];return e===n||a.inbox(e-r,n-r,i)}function _(t){return(x(t)+b(t))/2}i=t.maxHoverDistance-y,s=t.maxSpikeDistance-y;var w=a.getDistanceFunction(n,x,b,_);if(a.getClosest(l,w,t),!1===t.index)return null;var T=l[t.index];if(T.empty)return null;var k=u[T.dir],A=k.line.color;return o.opacity(A)&&k.line.width?t.color=A:t.color=k.fillcolor,t.x0=c.c2p(T.pos+m-g,!0),t.x1=c.c2p(T.pos+m+g,!0),t.xLabelVal=void 0!==T.orig_p?T.orig_p:T.pos,t.spikeDistance=_(T)*s/i,t.xSpike=c.c2p(T.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,c=o[0].t,f=[],h=u(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split("+");if(!("all"===p||-1!==d.indexOf("y")))return[];for(var m=["high","open","close","low"],g={},v=0;v<m.length;v++){var y,x=m[v],b=l[x][h.index],_=s.c2p(b,!0);b in g?(y=g[b]).yLabel+="<br>"+c.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((y=i.extendFlat({},h)).y0=y.y1=_,y.yLabelVal=b,y.yLabel=c.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),y.name="",f.push(y),g[b]=y)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=u(t,e,r,i);if(!h)return[];var p=a[h.index],d=h.index=p.i,m=p.dir;function g(t){return f.labels[t]+n.hoverLabelText(o,l[t][d],l.yhoverformat)}var v=p.hi||l.hoverinfo,y=v.split("+"),x="all"===v,b=x||-1!==y.indexOf("y"),_=x||-1!==y.indexOf("text"),w=b?[g("open"),g("high"),g("low"),g("close")+"  "+c[m]]:[];return _&&s(p,l,w),h.extraText=w.join("<br>"),h.y0=h.y1=o.c2p(p.yc,!0),[h]}e.exports={hoverPoints:function(t,e,r,n){return t.cd[0].trace.hoverlabel.split?f(t,e,r,n):h(t,e,r,n)},hoverSplit:f,hoverOnPoints:h}},{"../../components/color":361,"../../components/fx":401,"../../constants/delta.js":468,"../../lib":498,"../../plots/cartesian/axes":549}],871:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"ohlc",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","showLegend"],meta:{},attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc").calc,plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select")}},{"../../plots/cartesian":563,"./attributes":867,"./calc":868,"./defaults":869,"./hover":870,"./plot":873,"./select":874,"./style":875}],872:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports=function(t,e,r,a){var o=r("x"),s=r("open"),l=r("high"),c=r("low"),u=r("close");if(r("hoverlabel.split"),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x"],a),s&&l&&c&&u){var f=Math.min(s.length,l.length,c.length,u.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},{"../../lib":498,"../../registry":633}],873:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib");e.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,"trace ohlc").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var c=a.tickLen,u=e.selectAll("path").data(i.identity);u.enter().append("path"),u.exit().remove(),u.attr("d",(function(t){if(t.empty)return"M0,0Z";var e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return"M"+e+","+o.c2p(t.o,!0)+"H"+n+"M"+n+","+o.c2p(t.h,!0)+"V"+o.c2p(t.l,!0)+"M"+r+","+o.c2p(t.c,!0)+"H"+n}))}}))}},{"../../lib":498,"@plotly/d3":58}],874:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([i.c2p(l.pos+s),a.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:i.c2d(l.pos),y:a.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},{}],875:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll("path").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{"../../components/color":361,"../../components/drawing":383,"@plotly/d3":58}],876:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array"],dflt:"trace",editType:"calc"},categoryarray:{valType:"data_array",editType:"calc"},ticktext:{valType:"data_array",editType:"calc"},values:{valType:"data_array",dflt:[],editType:"calc"},displayindex:{valType:"integer",editType:"calc"},editType:"calc",visible:{valType:"boolean",dflt:!0,editType:"calc"}},line:c,counts:{valType:"number",min:0,dflt:1,arrayOk:!0,editType:"calc"},customdata:void 0,hoverlabel:void 0,ids:void 0,legendgroup:void 0,legendrank:void 0,opacity:void 0,selectedpoints:void 0,showlegend:void 0}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/domain":579,"../../plots/font_attributes":580,"../../plots/template_attributes":628}],877:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getModuleCalcData,i=t("./plot");r.name="parcats",r.plot=function(t,e,r,a){var o=n(t.calcdata,"parcats");if(o.length){var s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":588,"./plot":882}],878:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib"),c=t("fast-isnumeric");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if("trace"===t.categoryorder)e=null;else if("array"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),"category descending"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,"line")&&a(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+"-"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"../../components/drawing":383,"../../lib":498,"../../lib/filter_unique.js":489,"../../lib/gup":495,"fast-isnumeric":185}],879:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("./attributes"),c=t("../parcoords/merge_length");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,"labelfont",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,"tickfont",g)}},{"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/domain":579,"../parcoords/merge_length":893,"./attributes":876}],880:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":876,"./base_plot":877,"./calc":878,"./defaults":879,"./plot":882}],881:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolateNumber,a=t("../../plot_api/plot_api"),o=t("../../components/fx"),s=t("../../lib"),l=s.strTranslate,c=t("../../components/drawing"),u=t("tinycolor2"),f=t("../../lib/svg_text_utils");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll("g.parcatslayer").data([null]);o.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=o.selectAll("g.trace.parcats").data(a,p),h=u.enter().append("g").attr("class","trace parcats");u.attr("transform",(function(t){return l(t.x,t.y)})),h.append("g").attr("class","paths");var y=u.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);y.attr("fill",(function(t){return t.model.color}));var x=y.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(x),y.attr("d",(function(t){return t.svgD})),x.empty()||y.sort(m),y.exit().remove(),y.on("mouseover",g).on("mouseout",v).on("click",b),h.append("g").attr("class","dimensions");var w=u.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);w.enter().append("g").attr("class","dimension"),w.attr("transform",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll("g.category").data((function(t){return t.categories}),p),M=A.enter().append("g").attr("class","category");A.attr("transform",(function(t){return l(0,t.y)})),M.append("rect").attr("class","catrect").attr("pointer-events","none"),A.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(M);var S=A.selectAll("rect.bandrect").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr("fill",(function(t){return t.color}));var E=S.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);S.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(E),S.exit().remove(),M.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;A.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(z)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append("text").attr("class","dimlabel"),A.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",I).on("dragend",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return u.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a="left"):(i=c.left+c.width,a="right");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",y.countLabel].join(" ")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+y.categoryLabel+"):",y.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if("color"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),S(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),M(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===l?e=E(r,a,this):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color \u2229 "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=u.mostReadable(c.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event)}}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[u],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr("d",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll("g.category").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr("transform",(function(t){return l(t.x,0)})),r(i).attr("transform",(function(t){return l(0,t.y)})),i.select(".dimlabel").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(".catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("x",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u="M "+t[0]+","+e[0];for(u+="l"+r[0]+",0 ",s=1;s<r.length;s++)u+="C"+l[s-1]+","+e[s-1]+" "+c[s-1]+","+e[s]+" "+t[s]+","+e[s],u+="l"+r[s]+",0 ";for(u+="l0,"+n+" ",u+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)u+="C"+c[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),u+="l-"+r[s]+",0 ";return u+="Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||v.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:g,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=v.count}}y="hspline"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),h[m]={key:v.valueInds[0],model:v,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),m=8*(f-h)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=g[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:m,bands:[],parcatsViewModel:t},m=m+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{"../../components/drawing":383,"../../components/fx":401,"../../lib":498,"../../lib/svg_text_utils":524,"../../plot_api/plot_api":535,"@plotly/d3":58,"d3-interpolate":111,tinycolor2:307}],882:[function(t,e,r){"use strict";var n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":881}],883:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"}))}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/plot_template":538,"../../plots/cartesian/layout_attributes":564,"../../plots/domain":579,"../../plots/font_attributes":580}],884:[function(t,e,r){"use strict";var n=t("./constants"),i=t("@plotly/d3"),a=t("../../lib/gup").keyFun,o=t("../../lib/gup").repeat,s=t("../../lib").sorterAsc,l=t("../../lib").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr("x",-n.bar.captureWidth/2).attr("width",n.bar.captureWidth)}function m(t){t.attr("visibility","visible").style("visibility","visible").attr("fill","yellow").attr("opacity",0)}function g(t){if(!t.brush.filterSpecified)return"0,"+t.height;for(var e,r,n,i=v(t.brush.filter.getConsolidated(),t.height),a=[0],o=i.length?i[0][0]:null,s=0;s<i.length;s++)r=(e=i[s])[1]-e[0],a.push(o),a.push(r),(n=s+1)<i.length&&(o=i[n][0]-e[1]);return a.push(t.height),a}function v(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function y(){i.select(document.body).style("cursor",null)}function x(t){t.attr("stroke-dasharray",g)}function b(t,e){var r=i.select(t).selectAll(".highlight, .highlight-shadow");x(e?r.transition().duration(n.bar.snapDuration).each("end",e):r)}function _(t,e){var r,i=t.brush,a=NaN,o={};if(i.filterSpecified){var s=t.height,l=i.filter.getConsolidated(),c=v(l,s),u=NaN,f=NaN,h=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(f=r?r-1:NaN,p&&p[0]>e){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]<c[h][0]-e?f:h),!isNaN(a)){var d=c[a],m=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?"n":e<=.9*t[0]+.1*t[1]?"s":"ns"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<g.length;r++){var x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll("."+n.cn.axisBrush).data(o,a);r.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(".background").data(o);r.enter().append("rect").classed("background",!0).call(d).call(m).style("pointer-events","auto").attr("transform",l(0,n.verticalPadding)),r.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(".highlight-shadow").data(o);i.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),i.attr("y1",(function(t){return t.height})).call(x);var a=t.selectAll(".highlight").data(o);a.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),a.attr("y1",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{"../../lib":498,"../../lib/gup":495,"./constants":888,"@plotly/d3":58}],885:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":883,"./base_plot":886,"./calc":887,"./defaults":889}],886:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":475,"../../plots/get_data":588,"./plot":895,"@plotly/d3":58}],887:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495}],888:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],889:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),f=t("./constants").maxDimensionCount,h=t("./merge_length");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var m=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,"values",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",v),n.coerceFont(u,"tickfont",v),n.coerceFont(u,"rangefont",v),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498,"../../plots/array_container_defaults":544,"../../plots/cartesian/axes":549,"../../plots/domain":579,"./attributes":883,"./axisbrush":884,"./constants":888,"./merge_length":893}],890:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":498}],891:[function(t,e,r){"use strict";var n=t("./base_index");n.plot=t("./plot"),e.exports=n},{"./base_index":885,"./plot":895}],892:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n               p17_20, p21_24, p25_28, p29_32,\n               p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\nuniform sampler2D maskTexture, palette;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(maskTexture,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=t("./constants").maxDimensionCount,s=t("../../lib"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e="0"+t;return e.substr(e.length-2)}function v(t){return t<o?"p"+g(t+1)+"_"+g(t+4):"colors"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var m=[[],[]],g=0;g<64;g++)m[0][g]=g===i?1:0,m[1][g]=g===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:m[0].slice(0,16),dim0B:m[0].slice(16,32),dim0C:m[0].slice(32,48),dim0D:m[0].slice(48,64),dim1A:m[1].slice(0,16),dim1B:m[1].slice(16,32),dim1C:m[1].slice(32,48),dim1D:m[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:1,dstAlpha:1},equation:{rgb:"add",alpha:"add"},color:[0,0,0,0]},depth:{enable:!_,mask:!0,func:"less",range:[0,1]},cull:{enable:!0,face:"back"},scissor:{enable:!0,box:{x:T.prop("scissorX"),y:T.prop("scissorY"),width:T.prop("scissorWidth"),height:T.prop("scissorHeight")}},viewport:{x:T.prop("viewportX"),y:T.prop("viewportY"),width:T.prop("viewportWidth"),height:T.prop("viewportHeight")},dither:!1,vert:i,frag:a,primitive:"lines",lineWidth:M,attributes:E,uniforms:{resolution:T.prop("resolution"),viewBoxPos:T.prop("viewBoxPos"),viewBoxSize:T.prop("viewBoxSize"),dim0A:T.prop("dim0A"),dim1A:T.prop("dim1A"),dim0B:T.prop("dim0B"),dim1B:T.prop("dim1B"),dim0C:T.prop("dim0C"),dim1C:T.prop("dim1C"),dim0D:T.prop("dim0D"),dim1D:T.prop("dim1D"),loA:T.prop("loA"),hiA:T.prop("hiA"),loB:T.prop("loB"),hiB:T.prop("hiB"),loC:T.prop("loC"),hiC:T.prop("hiC"),loD:T.prop("loD"),hiD:T.prop("hiD"),palette:L,contextColor:T.prop("contextColor"),maskTexture:T.prop("maskTexture"),drwLayer:T.prop("drwLayer"),maskHeight:T.prop("maskHeight")},offset:T.prop("offset"),count:T.prop("count")});function I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],m=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[m]||C[m][0]!==k||C[m][1]!==M){C[m]=[k,M];var L=y(r,a,o,i,m,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:g;h(T,P,S,I,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{"../../lib":498,"./constants":888,glslify:222}],893:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],894:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("color-rgba"),s=t("../../plots/cartesian/axes"),l=i.strRotate,c=i.strTranslate,u=t("../../lib/svg_text_utils"),f=t("../../components/drawing"),h=t("../../components/colorscale"),p=t("../../lib/gup"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t("./helpers"),y=t("./constants"),x=t("./axisbrush"),b=t("./lines");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb("rgb("+e[0]+","+e[1]+","+e[2]+")")})),i="rgb".split("").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=v.convertTypedArray(a.lineColor),c=s.line,u={color:o(y.deselectedLineColor)},f=h.extractOpts(c),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,m=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:y.blockLineCount,canvasOverdrag:y.overdrag*y.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,I=L;return{key:r,colCount:m.filter(v.isVisible).length,dimensions:m,tickDistance:y.tickDistance,unitToColor:S(p),lines:M,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*y.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:I*y.canvasPixelRatio,width:P,height:I,canvasPixelRatio:y.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,c=r.canvasPixelRatio,u=function(t){return o*t/Math.max(1,r.colCount-1)},f=y.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,y.verticalPadding),p={key:r.key,xScale:u,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(v.isVisible).map((function(o,l){var m=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?"__"+g:""),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(m)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var O=1;O<C.length;O++)if(C[O]<C[O-1]){for(var z=C.map(P).sort(I),D=0;D<C.length;D++)C[D]=z[D].val,L[D]=z[D].text;break}}else C=void 0;return S=v.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:v.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(m),unitTickvals:C&&C.map(m),xScale:u,x:u(l),canvasX:u(l)*c,unitToPaddedPx:h,domainScale:A(s,y.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=m.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(y.cn.axisExtentText,!0).attr("text-anchor","middle").style("cursor","default")}function I(t,e){var r="top"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function O(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function z(t,e){return s.tickText(t._ax,e,!1).text}function D(t,e){if(t.ordinal)return"";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return z(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,a){var o=t._fullLayout,h=o._toppaper,p=o._glcontainer,_=t._context.plotGlPixelRatio,T=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var A,M,S=(A=!0,M=!1,{linePickActive:function(t){return arguments.length?A=!!t:A},contextShown:function(t){return arguments.length?M=!!t:M}}),R=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,S,a));p.each((function(t,e){return i.extendFlat(t,R[e])}));var F=p.selectAll(".gl-canvas").each((function(t){t.viewModel=R[0],t.viewModel.plotGlPixelRatio=_,t.viewModel.paperColor=T,t.model=t.viewModel?t.viewModel.model:null})),B=null;F.filter((function(t){return t.pick})).style("pointer-events","auto").on("mousemove",(function(t){if(S.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var c=t.lineLayer.readPixel(s,i-1-l),u=0!==c[3],f=u?c[2]+256*(c[1]+256*c[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==B&&(u?a.hover(h):a.unhover&&a.unhover(h),B=f)}})),F.style("opacity",(function(t){return t.pick?0:1})),h.style("background","rgba(255, 255, 255, 0)");var N=h.selectAll("."+y.cn.parcoords).data(R,d);N.exit().remove(),N.enter().append("g").classed(y.cn.parcoords,!0).style("shape-rendering","crispEdges").style("pointer-events","none"),N.attr("transform",(function(t){return c(t.model.translateX,t.model.translateY)}));var j=N.selectAll("."+y.cn.parcoordsControlView).data(m,d);j.enter().append("g").classed(y.cn.parcoordsControlView,!0),j.attr("transform",(function(t){return c(t.model.pad.l,t.model.pad.t)}));var U=j.selectAll("."+y.cn.yAxis).data((function(t){return t.dimensions}),d);U.enter().append("g").classed(y.cn.yAxis,!0),j.each((function(t){O(U,t,_)})),F.each((function(t){if(t.viewModel){!t.lineLayer||a?t.lineLayer=b(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||a;t.lineLayer.render(t.viewModel.panels,e)}})),U.attr("transform",(function(t){return c(t.xScale(t.xIndex),0)})),U.call(n.behavior.drag().origin((function(t){return t})).on("drag",(function(t){var e=t.parent;S.linePickActive(!1),t.x=Math.max(-y.overdrag,Math.min(t.model.width+y.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,U.sort((function(t,e){return t.x-e.x})).each((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio})),O(U,e,_),U.filter((function(e){return 0!==Math.abs(t.xIndex-e.xIndex)})).attr("transform",(function(t){return c(t.xScale(t.xIndex),0)})),n.select(this).attr("transform",c(t.x,0)),U.each((function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!E(e)),e.focusLayer.render&&e.focusLayer.render(e.panels)})).on("dragend",(function(t){var e=t.parent;t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,O(U,e,_),n.select(this).attr("transform",(function(t){return c(t.x,0)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!E(e)),e.focusLayer&&e.focusLayer.render(e.panels),e.pickLayer&&e.pickLayer.render(e.panels,!0),S.linePickActive(!0),a&&a.axesMoved&&a.axesMoved(e.key,e.dimensions.map((function(t){return t.crossfilterDimensionIndex})))}))),U.exit().remove();var V=U.selectAll("."+y.cn.axisOverlays).data(m,d);V.enter().append("g").classed(y.cn.axisOverlays,!0),V.selectAll("."+y.cn.axis).remove();var H=V.selectAll("."+y.cn.axis).data(m,d);H.enter().append("g").classed(y.cn.axis,!0),H.each((function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient("left").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return v.isOrdinal(t)?e:z(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(H.selectAll("text"),t.model.tickFont)})),H.selectAll(".domain, .tick>line").attr("fill","none").attr("stroke","black").attr("stroke-opacity",.25).attr("stroke-width","1px"),H.selectAll("text").style("text-shadow",u.makeTextShadow(T)).style("cursor","default");var q=V.selectAll("."+y.cn.axisHeading).data(m,d);q.enter().append("g").classed(y.cn.axisHeading,!0);var G=q.selectAll("."+y.cn.axisTitle).data(m,d);G.enter().append("text").classed(y.cn.axisTitle,!0).attr("text-anchor","middle").style("cursor","ew-resize").style("pointer-events","auto"),G.text((function(t){return t.label})).each((function(e){var r=n.select(this);f.font(r,e.model.labelFont),u.convertToTspans(r,t)})).attr("transform",(function(t){var e=I(t.model.labelAngle,t.model.labelSide),r=y.axisTitleOffset;return(e.dir>0?"":c(0,2*r+t.model.height))+l(e.degrees)+c(-r*e.dx,-r*e.dy)})).attr("text-anchor",(function(t){var e=I(t.model.labelAngle,t.model.labelSide);return 2*Math.abs(e.dx)>Math.abs(e.dy)?e.dir*e.dx<0?"start":"end":"middle"}));var Y=V.selectAll("."+y.cn.axisExtent).data(m,d);Y.enter().append("g").classed(y.cn.axisExtent,!0);var W=Y.selectAll("."+y.cn.axisExtentTop).data(m,d);W.enter().append("g").classed(y.cn.axisExtentTop,!0),W.attr("transform",c(0,-y.axisExtentOffset));var X=W.selectAll("."+y.cn.axisExtentTopText).data(m,d);X.enter().append("text").classed(y.cn.axisExtentTopText,!0).call(P),X.text((function(t){return D(t,!0)})).each((function(t){f.font(n.select(this),t.model.rangeFont)}));var Z=Y.selectAll("."+y.cn.axisExtentBottom).data(m,d);Z.enter().append("g").classed(y.cn.axisExtentBottom,!0),Z.attr("transform",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll("."+y.cn.axisExtentBottomText).data(m,d);J.enter().append("text").classed(y.cn.axisExtentBottomText,!0).attr("dy","0.75em").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{"../../components/colorscale":373,"../../components/drawing":383,"../../lib":498,"../../lib/gup":495,"../../lib/svg_text_utils":524,"../../plots/cartesian/axes":549,"./axisbrush":884,"./constants":888,"./helpers":890,"./lines":892,"@plotly/d3":58,"color-rgba":86}],895:[function(t,e,r){"use strict";var n=t("./parcoords"),i=t("../../lib/prepare_regl"),a=t("./helpers").isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(e.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},c={},u={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;u[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,c[r]=t.data[i].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=c[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",l=r._tracePreGUI[t._fullData[u[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[u[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[f[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,c[e].filter(a));l[e].sort(n),c[e].filter((function(t){return!a(t)})).sort((function(t){return c[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(c[e].indexOf(t),0,t)})),t.emit("plotly_restyle",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},{"../../lib/prepare_regl":511,"./helpers":890,"./parcoords":894}],896:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/domain").attributes,a=t("../../plots/font_attributes"),o=t("../../components/color/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/template_attributes").texttemplateAttrs,c=t("../../lib/extend").extendFlat,u=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});e.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:c({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:c({},u,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:c({},u,{}),position:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"plot"},editType:"plot"},domain:i({name:"pie",trace:!0,editType:"calc"}),hole:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},sort:{valType:"boolean",dflt:!0,editType:"calc"},direction:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"number",min:-360,max:360,dflt:0,editType:"calc"},pull:{valType:"number",min:0,max:1,dflt:0,arrayOk:!0,editType:"calc"},_deprecated:{title:{valType:"string",dflt:"",editType:"calc"},titlefont:c({},u,{}),titleposition:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"calc"}}}},{"../../components/color/attributes":360,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/domain":579,"../../plots/font_attributes":580,"../../plots/template_attributes":628}],897:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="pie",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":614}],898:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../../components/color"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o["_"+e.type+"colormap"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":361,"fast-isnumeric":185,tinycolor2:307}],899:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),f){e._length=f,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var h,p=c("text"),d=c("texttemplate");if(d||(h=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||h&&"none"!==h){var m=c("textposition");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||"auto"===m||"outside"===m)&&c("automargin"),("inside"===m||"auto"===m||Array.isArray(m))&&c("insidetextorientation")}o(e,n,c);var g=c("hole");if(c("title.text")){var v=c("title.position",g?"middle center":"top center");g||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":498,"../../plots/domain":579,"../bar/defaults":647,"./attributes":896,"fast-isnumeric":185}],900:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":397}],901:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},{"../../lib":498}],902:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":896,"./base_plot":897,"./calc":898,"./defaults":899,"./layout_attributes":903,"./layout_defaults":904,"./plot":905,"./style":906,"./style_one":907}],903:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],904:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":498,"./layout_attributes":903}],905:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=l.strScale,u=l.strTranslate,f=t("../../lib/svg_text_utils"),h=t("../bar/uniform_text"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t("../bar/constants").TEXTPAD,g=t("./helpers"),v=t("./event_data"),y=t("../../lib").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u="funnelarea"===c.type;"_hasHoverLabel"in c||(c._hasHoverLabel=!1),"_hasHoverEvent"in c||(c._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit("plotly_hover",{points:[v(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f="horizontal"===u,h="tangential"===u,p="radial"===u,d="auto"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a="tan"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),"rad")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?f*=2:-1!==a.title.position.indexOf("right")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},f=u("label"),h=u("text"),p=u("value"),d=u("percent"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d("pie",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,"trace").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr("stroke-linejoin","round"),h.each((function(){var v=n.select(this).selectAll("g.slice").data(e);v.enter().append("g").classed("slice",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll("path.surface").data([i]);if(h.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k="M"+(o+i.px0[0])+","+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+"Z";T?h.attr("d","M"+(o+T*i.px0[0])+","+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+"Z"+k):h.attr("d",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr("d","M"+(o+T*i.px1[0])+","+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+"l"+M*i.px0[0]+","+M*i.px0[1]+A+"Z")}else h.attr("d","M"+o+","+c+"l"+i.px0[0]+","+i.px0[1]+A+"Z")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll("g.slicetext").data(i.text&&"none"!==S?[0]:[]);E.enter().append("g").classed("slicetext",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if("outside"===S)v=L(y,i);else if(v=w(y,i,d),"auto"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr("transform",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*d.r+","+n*d.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var T=n.select(this).selectAll("g.titletext").data(m.title.text?[0]:[]);if(T.enter().append("g").classed("titletext",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,m.title.font).call(f.convertToTspans,t),e="middle center"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr("transform",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,m),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr("transform",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+c):s+="l"+t.labelExtraX+","+u+"v"+(f-u)+"h"+c}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+c;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(v,m),_&&m.automargin){var k=s.bBox(h.node()),A=m.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,"pie."+m.uid+".automargin",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{"../../components/color":361,"../../components/drawing":383,"../../components/fx":401,"../../lib":498,"../../lib/svg_text_utils":524,"../../plots/plots":614,"../bar/constants":645,"../bar/uniform_text":659,"./event_data":900,"./helpers":901,"@plotly/d3":58}],906:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("./style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":659,"./style_one":907,"@plotly/d3":58}],907:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./helpers").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":361,"./helpers":901}],908:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":922}],909:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_pointcloud2d,i=t("../../lib/str2rgbarray"),a=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=i(t.marker.color),g=i(t.marker.border.color),v=t.opacity*t.marker.opacity;m[3]*=v,this.pointcloudOptions.color=m;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,g[3]*=v,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{"../../../stackgl_modules":1119,"../../lib/str2rgbarray":523,"../../plots/cartesian/autorange":548,"../scatter/get_trace_color":932}],910:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a("x"),a("y"),a("xbounds"),a("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a("text"),a("marker.color",r),a("marker.opacity"),a("marker.blend"),a("marker.sizemin"),a("marker.sizemax"),a("marker.border.color",r),a("marker.border.arearatio"),e._length=null}},{"../../lib":498,"./attributes":908}],911:[function(t,e,r){"use strict";["*pointcloud* trace is deprecated!","Please consider switching to the *scattergl* trace type."].join(" ");e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../scatter3d/calc"),plot:t("./convert"),moduleType:"trace",name:"pointcloud",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","showLegend"],meta:{}}},{"../../plots/gl2d":591,"../scatter3d/calc":951,"./attributes":908,"./convert":909,"./defaults":910}],912:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,h=t("../../lib/extend").extendFlat,p=t("../../plot_api/edit_types").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s",description:f("value")},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 0,node:{label:{valType:"data_array",dflt:[]},groups:{valType:"info_array",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:"number",editType:"calc"}},x:{valType:"data_array",dflt:[]},y:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:.5,arrayOk:!0}},pad:{valType:"number",arrayOk:!1,min:0,dflt:20},thickness:{valType:"number",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]})},link:{label:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:0,arrayOk:!0}},source:{valType:"data_array",dflt:[]},target:{valType:"data_array",dflt:[]},value:{valType:"data_array",dflt:[]},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]}),colorscales:u("concentrationscales",{editType:"calc",label:{valType:"string",editType:"calc",dflt:""},cmax:{valType:"number",editType:"calc",dflt:1},cmin:{valType:"number",editType:"calc",dflt:0},colorscale:h(c().colorscale,{dflt:[[0,"white"],[1,"black"]]})})}},"calc","nested")).transforms=void 0},{"../../components/color/attributes":360,"../../components/colorscale/attributes":368,"../../components/fx/attributes":392,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plot_api/plot_template":538,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/domain":579,"../../plots/font_attributes":580,"../../plots/template_attributes":628}],913:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../components/fx/layout_attributes"),s=t("../../lib/setcursor"),l=t("../../components/dragelement"),c=t("../../plots/cartesian/select").prepSelect,u=t("../../lib"),f=t("../../registry");function h(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a="pan"===n.dragmode?"move":"crosshair",o=r._bgRect;if("pan"!==i&&"zoom"!==i){s(o,a);var h={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),f.call("_guiRestyle",t,{"node.groups":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name="sankey",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i(t.calcdata,"sankey")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&(n._paperdiv.selectAll(".sankey").remove(),n._paperdiv.selectAll(".bgsankey").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)h(t,e)}},{"../../components/dragelement":380,"../../components/fx/layout_attributes":402,"../../lib":498,"../../lib/setcursor":519,"../../plot_api/edit_types":531,"../../plots/cartesian/select":570,"../../plots/get_data":588,"../../registry":633,"./plot":918}],914:[function(t,e,r){"use strict";var n=t("strongly-connected-components"),i=t("../../lib"),a=t("../../lib/gup").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t("../../components/colorscale");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),f=o(a.customdata),h={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var m=a.colorscales[e],g=l.extractScale(m,{cLetter:"c"}),v=l.makeColorScaleFunc(g);p[m.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],A=b+e;w.hasOwnProperty(k)?i.warn("Node "+k+" is already part of a group."):w[k]=A}}var M={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],L=a.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C="";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;e<I;e++)if(h[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":373,"../../lib":498,"../../lib/gup":495,"strongly-connected-components":301}],915:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeLabel:"node-label"}}},{}],916:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),m=t.node,g=c.newContainer(e,"node");function v(t,e){return n.coerce(m,g,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(m,g,v,d),v("hovertemplate");var y=h.colorway;v("color",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return n.coerce(x,b,i.link,t,e)}_("label"),_("source"),_("target"),_("value"),_("line.color"),_("line.width"),_("hoverinfo",t.hoverinfo),l(x,b,_,d),_("hovertemplate");var w,T=o(h.paper_bgcolor).getLuminance()<.333?"rgba(255, 255, 255, 0.6)":"rgba(0, 0, 0, 0.2)";_("color",n.repeat(T,b.value.length)),_("customdata"),u(x,b,{name:"colorscales",handleItemDefaults:f}),s(e,h,p),p("orientation"),p("valueformat"),p("valuesuffix"),g.x.length&&g.y.length&&(w="freeform"),p("arrangement",w),n.coerceFont(p,"textfont",n.extendFlat({},h.font)),e._length=null}},{"../../components/color":361,"../../components/fx/hoverlabel_defaults":399,"../../lib":498,"../../plot_api/plot_template":538,"../../plots/array_container_defaults":544,"../../plots/domain":579,"./attributes":912,tinycolor2:307}],917:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),moduleType:"trace",name:"sankey",basePlotModule:t("./base_plot"),selectPoints:t("./select.js"),categories:["noOpacity"],meta:{}}},{"./attributes":912,"./base_plot":913,"./calc":914,"./defaults":916,"./plot":918,"./select.js":920}],918:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("./render"),s=t("../../components/fx"),l=t("../../components/color"),c=t("./constants").cn,u=i._;function f(t){return""!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select("path").style("fill-opacity",e),n.select(t).select("rect").style("fill-opacity",e)}function d(t){n.select(t).select("text.name").style("fill","black")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll("."+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,"source:")+" ",T=u(t,"target:")+" ",k=u(t,"concentration:")+" ",A=u(t,"incoming flow count:")+" ",M=u(t,"outgoing flow count:")+" ";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),"skip"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit("plotly_hover",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if("closest"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||"",w+m.source.label,T+m.target.label,m.concentrationscale?k+a("%0.2f")(m.flow.labelConcentration):""].filter(f).join("<br>"),color:_(o,"bgcolor")||l.addOpacity(m.color,1),borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:n.event.x<g[0]?"right":"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return"v"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),"skip"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit("plotly_unhover",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),"skip"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit("plotly_hover",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){var l=n.select(e).select("."+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join("<br>"),color:_(o,"bgcolor")||i.tinyColorHue,borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{"../../components/color":361,"../../components/fx":401,"../../lib":498,"./constants":915,"./render":919,"@plotly/d3":58}],919:[function(t,e,r){"use strict";var n=t("d3-force"),i=t("d3-interpolate").interpolateNumber,a=t("@plotly/d3"),o=t("@plotly/d3-sankey"),s=t("@plotly/d3-sankey-circular"),l=t("./constants"),c=t("tinycolor2"),u=t("../../components/color"),f=t("../../components/drawing"),h=t("../../lib"),p=h.strTranslate,d=h.strRotate,m=t("../../lib/gup"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t("../../lib/svg_text_utils"),b=t("../../registry"),_=t("../../constants/alignment"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if("snap"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,"top"===e.circularLinkType?"M "+n.targetX+" "+(n.targetY+r)+" L"+n.rightInnerExtent+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 1 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY-n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.leftInnerExtent+" "+(n.sourceY-r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 0 "+(n.leftFullExtent-r)+" "+(n.sourceY-n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 0 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY-n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" "+(n.targetY-r)+"Z":"M "+n.targetX+" "+(n.targetY-r)+" L"+n.rightInnerExtent+" "+(n.targetY-r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 0 "+(n.rightFullExtent-r)+" "+(n.targetY+n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 0 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY+n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.leftInnerExtent+" "+(n.sourceY+r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 1 "+(n.leftFullExtent-r)+" "+(n.sourceY+n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 1 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY+n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.targetY+r)+"L"+n.targetX+" "+(n.targetY+r)+"Z";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return"M"+a+","+u+"C"+l+","+u+" "+c+","+h+" "+o+","+h+"L"+o+","+p+"C"+c+","+p+" "+l+","+f+" "+a+","+f+"Z"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join("_"),interactionState:t.interactionState,figure:t}}function E(t){t.attr("transform",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr("d",M())}function P(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function z(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(a){if("fixed"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,"g","dragcover",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),"snap"===a.arrangement)){var o=a.traceId+"|"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force("collide",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force("constrain",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on("drag",(function(r){if("fixed"!==r.arrangement){var n=a.event.x,i=a.event.y;"snap"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):("freeform"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),"snap"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on("dragend",(function(t){if("fixed"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;"snap"!==t.arrangement&&R(t,i)}}));t.on(".drag",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call("_guiRestyle",e,{"node.x":[r],"node.y":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,"g","first-render",(function(){o=!0}));var s=t._fullLayout._dragCover,m=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll("."+l.cn.sankey).data(m,g);b.exit().remove(),b.enter().append("g").classed(l.cn.sankey,!0).style("box-sizing","content-box").style("position","absolute").style("left",0).style("shape-rendering","geometricPrecision").style("pointer-events","auto").attr("transform",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n="bgsankey-"+e.trace.uid+"-"+r;h.ensureSingle(t._fullLayout._draggers,"rect",n),t._fullData[r]._bgRect=a.select("."+n),t._fullData[r]._bgRect.style("pointer-events","all").attr("width",e.width).attr("height",e.height).attr("x",e.translateX).attr("y",e.translateY).classed("bgsankey",!0).style({fill:"transparent","stroke-width":0})})),b.transition().ease(l.ease).duration(l.duration).attr("transform",O);var _=b.selectAll("."+l.cn.sankeyLinks).data(v,g);_.enter().append("g").classed(l.cn.sankeyLinks,!0).style("fill","none");var L=_.selectAll("."+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append("path").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style("stroke",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style("stroke-opacity",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style("fill",(function(t){return t.tinyColorHue})).style("fill-opacity",(function(t){return t.tinyColorAlpha})).style("stroke-width",(function(t){return I(t)?t.linkLineWidth:1})).attr("d",M()),L.style("opacity",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style("opacity",1),L.exit().transition().ease(l.ease).duration(l.duration).style("opacity",0).remove();var C=b.selectAll("."+l.cn.sankeyNodeSet).data(v,g);C.enter().append("g").classed(l.cn.sankeyNodeSet,!0),C.style("cursor",(function(t){switch(t.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}}));var R=C.selectAll("."+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),g);R.enter().append("g").classed(l.cn.sankeyNode,!0).call(E).style("opacity",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style("opacity",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style("opacity",0).remove();var F=R.selectAll("."+l.cn.nodeRect).data(v);F.enter().append("rect").classed(l.cn.nodeRect,!0).call(P),F.style("stroke-width",(function(t){return t.nodeLineWidth})).style("stroke",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style("stroke-opacity",(function(t){return u.opacity(t.nodeLineColor)})).style("fill",(function(t){return t.tinyColorHue})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll("."+l.cn.nodeLabel).data(v);B.enter().append("text").classed(l.cn.nodeLabel,!0).style("cursor","default"),B.attr("data-notex",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style("text-shadow",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr("text-anchor",(function(t){return t.horizontal&&t.left?"end":"start"})).attr("transform",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?"":"scale(-1,1)"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{"../../components/color":361,"../../components/drawing":383,"../../constants/alignment":466,"../../lib":498,"../../lib/gup":495,"../../lib/svg_text_utils":524,"../../registry":633,"./constants":915,"@plotly/d3":58,"@plotly/d3-sankey":57,"@plotly/d3-sankey-circular":56,"d3-force":106,"d3-interpolate":111,tinycolor2:307}],920:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];"v"===n.orientation&&s.reverse(),e&&e.contains(s,!1,a,t)&&r.push({pointNumber:o.pointNumber})}}return r}},{}],921:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.texttemplate,t,"txt"),n.mergeArray(e.hovertext,t,"htx"),n.mergeArray(e.customdata,t,"data"),n.mergeArray(e.textposition,t,"tp"),e.textfont&&(n.mergeArrayCastPositive(e.textfont.size,t,"ts"),n.mergeArray(e.textfont.color,t,"tc"),n.mergeArray(e.textfont.family,t,"tf"));var i=e.marker;if(i){n.mergeArrayCastPositive(i.size,t,"ms"),n.mergeArrayCastPositive(i.opacity,t,"mo"),n.mergeArray(i.symbol,t,"mx"),n.mergeArray(i.color,t,"mc");var a=i.line;i.line&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"));var o=i.gradient;o&&"none"!==o.type&&(n.mergeArray(o.type,t,"mgt"),n.mergeArray(o.color,t,"mgc"))}}},{"../../lib":498}],922:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/font_attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../components/drawing/attributes").pattern,u=t("../../components/drawing"),f=t("./constants"),h=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dx:{valType:"number",dflt:1,editType:"calc",anim:!0},y:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dy:{valType:"number",dflt:1,editType:"calc",anim:!0},xperiod:{valType:"any",dflt:0,editType:"calc"},yperiod:{valType:"any",dflt:0,editType:"calc"},xperiod0:{valType:"any",editType:"calc"},yperiod0:{valType:"any",editType:"calc"},xperiodalignment:{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc"},yperiodalignment:{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc"},xhoverformat:n("x"),yhoverformat:n("y"),stackgroup:{valType:"string",dflt:"",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc"},groupnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},stackgaps:{valType:"enumerated",values:["infer zero","interpolate"],dflt:"infer zero",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},texttemplate:i({},{}),hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"],editType:"calc"},hoveron:{valType:"flaglist",flags:["points","fills"],editType:"style"},hovertemplate:a({},{keys:f.eventDataKeys}),line:{color:{valType:"color",editType:"style",anim:!0},width:{valType:"number",min:0,dflt:2,editType:"style",anim:!0},shape:{valType:"enumerated",values:["linear","spline","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot"},smoothing:{valType:"number",min:0,max:1.3,dflt:1,editType:"plot"},dash:h({},l,{editType:"style"}),simplify:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},cliponaxis:{valType:"boolean",dflt:!0,editType:"plot"},fill:{valType:"enumerated",values:["none","tozeroy","tozerox","tonexty","tonextx","toself","tonext"],editType:"calc"},fillcolor:{valType:"color",editType:"style",anim:!0},fillpattern:c,marker:h({symbol:{valType:"enumerated",values:u.symbolList,dflt:"circle",arrayOk:!0,editType:"style"},opacity:{valType:"number",min:0,max:1,arrayOk:!0,editType:"style",anim:!0},size:{valType:"number",min:0,dflt:6,arrayOk:!0,editType:"calc",anim:!0},maxdisplayed:{valType:"number",min:0,dflt:0,editType:"plot"},sizeref:{valType:"number",dflt:1,editType:"calc"},sizemin:{valType:"number",min:0,dflt:0,editType:"calc"},sizemode:{valType:"enumerated",values:["diameter","area"],dflt:"diameter",editType:"calc"},line:h({width:{valType:"number",min:0,arrayOk:!0,editType:"style",anim:!0},editType:"calc"},o("marker.line",{anim:!0})),gradient:{type:{valType:"enumerated",values:["radial","horizontal","vertical","none"],arrayOk:!0,dflt:"none",editType:"calc"},color:{valType:"color",arrayOk:!0,editType:"calc"},editType:"calc"},editType:"calc"},o("marker",{anim:!0})),selected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style"},color:{valType:"color",editType:"style"},size:{valType:"number",min:0,editType:"style"},editType:"style"},textfont:{color:{valType:"color",editType:"style"},editType:"style"},editType:"style"},unselected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style"},color:{valType:"color",editType:"style"},size:{valType:"number",min:0,editType:"style"},editType:"style"},textfont:{color:{valType:"color",editType:"style"},editType:"style"},editType:"style"},textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"middle center",arrayOk:!0,editType:"calc"},textfont:s({editType:"calc",colorEditType:"style",arrayOk:!0})}},{"../../components/colorscale/attributes":368,"../../components/drawing":383,"../../components/drawing/attributes":382,"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../../plots/font_attributes":580,"../../plots/template_attributes":628,"./constants":926}],923:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../../constants/numerical").BADNUM,l=t("./subtypes"),c=t("./colorscale_calc"),u=t("./arrays_to_calcdata"),f=t("./calc_selection");function h(t,e,r,n,i,o,s){var c=e._length,u=t._fullLayout,f=r._id,h=n._id,p=u._firstScatter[m(e)]===e.uid,d=(g(e,u,r,n)||{}).orientation,v=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=m(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function m(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var i=t.stackgroup;if(i){var a=e._scatterStackOpts[r._id+n._id][i],o="v"===a.orientation?n:r;return"linear"===o.type||"log"===o.type?a:void 0}}e.exports={calc:function(t,e){var r,l,m,v,y,x,b=t._fullLayout,_=a.getFromId(t,e.xaxis||"x"),w=a.getFromId(t,e.yaxis||"y"),T=_.makeCalcdata(e,"x"),k=w.makeCalcdata(e,"y"),A=o(e,_,"x",T),M=o(e,w,"y",k),S=A.vals,E=M.vals,L=e._length,C=new Array(L),P=e.ids,I=g(e,b,_,w),O=!1;d(b,e);var z,D="x",R="y";I?(i.pushUnique(I.traceIndices,e._expandedIndex),(r="v"===I.orientation)?(R="s",z="x"):(D="s",z="y"),y="interpolate"===I.stackgaps):h(t,e,_,w,S,E,p(e,L));var F=!!e.xperiodalignment,B=!!e.yperiodalignment;for(l=0;l<L;l++){var N=C[l]={},j=n(S[l]),U=n(E[l]);j&&U?(N[D]=S[l],N[R]=E[l],F&&(N.orig_x=T[l],N.xEnd=A.ends[l],N.xStart=A.starts[l]),B&&(N.orig_y=k[l],N.yEnd=M.ends[l],N.yStart=M.starts[l])):I&&(r?j:U)?(N[z]=r?S[l]:E[l],N.gap=!0,y?(N.s=s,O=!0):N.s=0):N[D]=N[R]=s,P&&(N.id=String(P[l]))}if(u(C,e),c(t,e),f(C,e),I){for(l=0;l<C.length;)C[l][z]===s?C.splice(l,1):l++;if(i.sort(C,(function(t,e){return t[z]-e[z]||t.i-e.i})),O){for(l=0;l<C.length-1&&C[l].gap;)l++;for((x=C[l].s)||(x=C[l].s=0),m=0;m<l;m++)C[m].s=x;for(v=C.length-1;v>l&&C[v].gap;)v--;for(x=C[v].s,m=C.length-1;m>v;m--)C[m].s=x;for(;l<v;)if(C[++l].gap){for(m=l+1;C[m].gap;)m++;for(var V=C[l-1][z],H=C[l-1].s,q=(C[m].s-H)/(C[m][z]-V);l<m;)C[l].s=H+(C[l][z]-V)*q,l++}}}return C},calcMarkerSize:p,calcAxisExpansion:h,setFirstScatter:d,getStackOpts:g}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"./arrays_to_calcdata":921,"./calc_selection":924,"./colorscale_calc":925,"./subtypes":947,"fast-isnumeric":185}],924:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{"../../lib":498}],925:[function(t,e,r){"use strict";var n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},{"../../components/colorscale/calc":369,"../../components/colorscale/helpers":372,"./subtypes":947}],926:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],927:[function(t,e,r){"use strict";var n=t("./calc");function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}e.exports=function(t,e){var r=e.xaxis,a=e.yaxis,o=r._id+a._id,s=t._fullLayout._scatterStackOpts[o];if(s){var l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T=t.calcdata;for(var k in s){var A=(v=s[k]).traceIndices;if(A.length){for(y="interpolate"===v.stackgaps,x=v.groupnorm,"v"===v.orientation?(b="x",_="y"):(b="y",_="x"),w=new Array(A.length),l=0;l<w.length;l++)w[l]=!1;p=T[A[0]];var M=new Array(p.length);for(l=0;l<p.length;l++)M[l]=p[l][b];for(l=1;l<A.length;l++){for(h=T[A[l]],c=u=0;c<h.length;c++){for(d=h[c][b];d>M[u]&&u<M.length;u++)i(h,c,M[u],l,w,y,b),c++;if(d!==M[u]){for(f=0;f<l;f++)i(T[A[f]],u,d,f,w,y,b);M.splice(u,0,d)}u++}for(;u<M.length;u++)i(h,c,M[u],l,w,y,b),c++}var S=M.length;for(c=0;c<p.length;c++){for(m=p[c][_]=p[c].s,l=1;l<A.length;l++)(h=T[A[l]])[0].trace._rawLength=h[0].trace._length,h[0].trace._length=S,m+=h[c].s,h[c][_]=m;if(x)for(g=("fraction"===x?m:m/100)||1,l=0;l<A.length;l++){var E=T[A[l]][c];E[_]/=g,E.sNorm=E.s/g}}for(l=0;l<A.length;l++){var L=(h=T[A[l]])[0].trace,C=n.calcMarkerSize(L,L._rawLength),P=Array.isArray(C);if(C&&w[l]||P){var I=C;for(C=new Array(S),c=0;c<S;c++)C[c]=h[c].gap?0:P?I[h[c].i]:I}var O=new Array(S),z=new Array(S);for(c=0;c<S;c++)O[c]=h[c].x,z[c]=h[c].y;n.calcAxisExpansion(t,L,r,a,O,z,C),h[0].t.orientation=v.orientation}}}}}},{"./calc":923}],928:[function(t,e,r){"use strict";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if("scatter"===r.type){var n=r.fill;if("none"!==n&&"toself"!==n&&(r.opacity=void 0,"tonexty"===n||"tonextx"===n))for(var i=e-1;i>=0;i--){var a=t[i];if("scatter"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],929:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("./constants"),s=t("./subtypes"),l=t("./xy_defaults"),c=t("./period_defaults"),u=t("./stack_defaults"),f=t("./marker_defaults"),h=t("./line_defaults"),p=t("./line_shape_defaults"),d=t("./text_defaults"),m=t("./fillcolor_defaults"),g=t("../../lib").coercePattern;e.exports=function(t,e,r,v){function y(r,i){return n.coerce(t,e,a,r,i)}var x=l(t,e,v,y);if(x||(e.visible=!1),e.visible){c(t,e,v,y),y("xhoverformat"),y("yhoverformat");var b=u(t,e,v,y),_=!b&&x<o.PTS_LINESONLY?"lines+markers":"lines";y("text"),y("hovertext"),y("mode",_),s.hasLines(e)&&(h(t,e,r,v,y),p(t,e,y),y("connectgaps"),y("line.simplify")),s.hasMarkers(e)&&f(t,e,r,v,y,{gradient:!0}),s.hasText(e)&&(y("texttemplate"),d(t,e,v,y));var w=[];(s.hasMarkers(e)||s.hasText(e))&&(y("cliponaxis"),y("marker.maxdisplayed"),w.push("points")),y("fill",b?b.fillDflt:"none"),"none"!==e.fill&&(m(t,e,r,y),s.hasLines(e)||p(t,e,y),g(y,"fillpattern",e.fillcolor,!1));var T=(e.line||{}).color,k=(e.marker||{}).color;"tonext"!==e.fill&&"toself"!==e.fill||w.push("fills"),y("hoveron",w.join("+")||"points"),"fills"!==e.hoveron&&y("hovertemplate");var A=i.getComponentMethod("errorbars","supplyDefaults");A(t,e,T||k||r,{axis:"y"}),A(t,e,T||k||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,y)}}},{"../../lib":498,"../../registry":633,"./attributes":922,"./constants":926,"./fillcolor_defaults":930,"./line_defaults":935,"./line_shape_defaults":937,"./marker_defaults":941,"./period_defaults":942,"./stack_defaults":945,"./subtypes":947,"./text_defaults":948,"./xy_defaults":949}],930:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&&!i(s)?o=s:l&&!i(l)&&(o=l)}a("fillcolor",n.addOpacity((e.line||{}).color||o||r,.5))}},{"../../components/color":361,"../../lib":498}],931:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a={_fullLayout:r},o=n.getFromTrace(a,e,"x"),s=n.getFromTrace(a,e,"y");return i.xLabel=n.tickText(o,o.c2l(t.x),!0).text,i.yLabel=n.tickText(s,s.c2l(t.y),!0).text,i}},{"../../plots/cartesian/axes":549}],932:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./subtypes");e.exports=function(t,e){var r,a;if("lines"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if("none"===t.mode)return t.fill?t.fillcolor:"";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return(a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:"")?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color)&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor}},{"../../components/color":361,"./subtypes":947}],933:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/fx"),a=t("../../registry"),o=t("./get_trace_color"),s=t("../../components/color"),l=n.fillText;e.exports=function(t,e,r,c){var u=t.cd,f=u[0].trace,h=t.xa,p=t.ya,d=h.c2p(e),m=p.c2p(r),g=[d,m],v=f.hoveron||"",y=-1!==f.mode.indexOf("markers")?3:.5,x=!!f.xperiodalignment,b=!!f.yperiodalignment;if(-1!==v.indexOf("points")){var _=function(t){var e=Math.max(y,t.mrc||0),r=h.c2p(t.x)-d,n=p.c2p(t.y)-m;return Math.max(Math.sqrt(r*r+n*n)-e,1-y/e)},w=i.getDistanceFunction(c,(function(t){if(x){var e=h.c2p(t.xStart),r=h.c2p(t.xEnd);return d>=Math.min(e,r)&&d<=Math.max(e,r)?0:1/0}var n=Math.max(3,t.mrc||0),i=1-1/n,a=Math.abs(h.c2p(t.x)-d);return a<n?i*a/n:a-n+i}),(function(t){if(b){var e=p.c2p(t.yStart),r=p.c2p(t.yEnd);return m>=Math.min(e,r)&&m<=Math.max(e,r)?0:1/0}var n=Math.max(3,t.mrc||0),i=1-1/n,a=Math.abs(p.c2p(t.y)-m);return a<n?i*a/n:a-n+i}),_);if(i.getClosest(u,w,t),!1!==t.index){var T=u[t.index],k=h.c2p(T.x,!0),A=p.c2p(T.y,!0),M=T.mrc||1;t.index=T.i;var S=u[0].t.orientation,E=S&&(T.sNorm||T.s),L="h"===S?E:void 0!==T.orig_x?T.orig_x:T.x,C="v"===S?E:void 0!==T.orig_y?T.orig_y:T.y;return n.extendFlat(t,{color:o(f,T),x0:k-M,x1:k+M,xLabelVal:L,y0:A-M,y1:A+M,yLabelVal:C,spikeDistance:_(T),hovertemplate:f.hovertemplate}),l(T,f,t),a.getComponentMethod("errorbars","hoverInfo")(T,f,t),[t]}}if(-1!==v.indexOf("fills")&&f._polygons){var P,I,O,z,D,R,F,B,N,j=f._polygons,U=[],V=!1,H=1/0,q=-1/0,G=1/0,Y=-1/0;for(P=0;P<j.length;P++)(O=j[P]).contains(g)&&(V=!V,U.push(O),G=Math.min(G,O.ymin),Y=Math.max(Y,O.ymax));if(V){var W=((G=Math.max(G,0))+(Y=Math.min(Y,p._length)))/2;for(P=0;P<U.length;P++)for(z=U[P].pts,I=1;I<z.length;I++)(B=z[I-1][1])>W!=(N=z[I][1])>=W&&(R=z[I-1][0],F=z[I][0],N-B&&(D=R+(F-R)*(W-B)/(N-B),H=Math.min(H,D),q=Math.max(q,D)));H=Math.max(H,0),q=Math.min(q,h._length);var X=s.defaultLine;return s.opacity(f.fillcolor)?X=f.fillcolor:s.opacity((f.line||{}).color)&&(X=f.line.color),n.extendFlat(t,{distance:t.maxHoverDistance,x0:H,x1:q,y0:W,y1:W,color:X,hovertemplate:!1}),delete t.index,f.text&&!Array.isArray(f.text)?t.text=String(f.text):t.text=f.name,[t]}}}},{"../../components/color":361,"../../components/fx":401,"../../lib":498,"../../registry":633,"./get_trace_color":932}],934:[function(t,e,r){"use strict";var n=t("./subtypes");e.exports={hasLines:n.hasLines,hasMarkers:n.hasMarkers,hasText:n.hasText,isBubble:n.isBubble,attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./cross_trace_calc"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot"),colorbar:t("./marker_colorbar"),formatLabels:t("./format_labels"),style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("./select"),animatable:!0,moduleType:"trace",name:"scatter",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","errorBarsOK","showLegend","scatter-like","zoomScale"],meta:{}}},{"../../plots/cartesian":563,"./arrays_to_calcdata":921,"./attributes":922,"./calc":923,"./cross_trace_calc":927,"./cross_trace_defaults":928,"./defaults":929,"./format_labels":931,"./hover":933,"./marker_colorbar":940,"./plot":943,"./select":944,"./style":946,"./subtypes":947}],935:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults");e.exports=function(t,e,r,o,s,l){var c=(t.marker||{}).color;(s("line.color",r),i(t,"line"))?a(t,e,o,s,{prefix:"line.",cLetter:"c"}):s("line.color",!n(c)&&c||r);s("line.width"),(l||{}).noDash||s("line.dash")}},{"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"../../lib":498}],936:[function(t,e,r){"use strict";var n=t("../../constants/numerical"),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t("../../lib"),c=l.segmentsIntersect,u=l.constrain,f=t("./constants");e.exports=function(t,e){var r,n,a,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S=e.xaxis,E=e.yaxis,L="log"===S.type,C="log"===E.type,P=S._length,I=E._length,O=e.connectGaps,z=e.baseTolerance,D=e.shape,R="linear"===D,F=e.fill&&"none"!==e.fill,B=[],N=f.minTolerance,j=t.length,U=new Array(j),V=0;function H(r){var n=t[r];if(!n)return!1;var a=e.linearized?S.l2p(n.x):S.c2p(n.x),l=e.linearized?E.l2p(n.y):E.c2p(n.y);if(a===i){if(L&&(a=S.c2p(n.x,!0)),a===i)return!1;C&&l===i&&(a*=Math.abs(S._m*I*(S._m>0?o:s)/(E._m*P*(E._m>0?o:s)))),a*=1e3}if(l===i){if(C&&(l=E.c2p(n.y,!0)),l===i)return!1;l*=1e3}return[a,l]}function q(t,e,r,n){var i=r-t,a=n-e,o=.5-t,s=.5-e,l=i*i+a*a,c=i*o+a*s;if(c>0&&c<l){var u=o*a-s*i;if(u*u<l)return!0}}function G(t,e){var r=t[0]/P,n=t[1]/I,i=Math.max(0,-r,r-1,-n,n-1);return i&&void 0!==A&&q(r,n,A,M)&&(i=0),i&&e&&q(r,n,e[0]/P,e[1]/I)&&(i=0),(1+f.toleranceGrowth*i)*z}function Y(t,e){var r=t[0]-e[0],n=t[1]-e[1];return Math.sqrt(r*r+n*n)}var W,X,Z,J,K,Q,$,tt=f.maxScreensAway,et=-P*tt,rt=P*(1+tt),nt=-I*tt,it=I*(1+tt),at=[[et,nt,rt,nt],[rt,nt,rt,it],[rt,it,et,it],[et,it,et,nt]];function ot(t){if(t[0]<et||t[0]>rt||t[1]<nt||t[1]>it)return[u(t[0],et,rt),u(t[1],nt,it)]}function st(t,e){return t[0]===e[0]&&(t[0]===et||t[0]===rt)||(t[1]===e[1]&&(t[1]===nt||t[1]===it)||void 0)}function lt(t,e,r){return function(n,i){var a=ot(n),o=ot(i),s=[];if(a&&o&&st(a,o))return s;a&&s.push(a),o&&s.push(o);var c=2*l.constrain((n[t]+i[t])/2,e,r)-((a||n)[t]+(o||i)[t]);c&&((a&&o?c>0==a[t]>o[t]?a:o:a||o)[t]+=c);return s}}function ct(t){var e=t[0],r=t[1],n=e===U[V-1][0],i=r===U[V-1][1];if(!n||!i)if(V>1){var a=e===U[V-2][0],o=r===U[V-2][1];n&&(e===et||e===rt)&&a?o?V--:U[V-1]=t:i&&(r===nt||r===it)&&o?a?V--:U[V-1]=t:U[V++]=t}else U[V++]=t}function ut(t){U[V-1][0]!==t[0]&&U[V-1][1]!==t[1]&&ct([Z,J]),ct(t),K=null,Z=J=0}function ft(t){if(A=t[0]/P,M=t[1]/I,W=t[0]<et?et:t[0]>rt?rt:0,X=t[1]<nt?nt:t[1]>it?it:0,W||X){if(V)if(K){var e=$(K,t);e.length>1&&(ut(e[0]),U[V++]=e[1])}else Q=$(U[V-1],t)[0],U[V++]=Q;else U[V++]=[W||t[0],X||t[1]];var r=U[V-1];W&&X&&(r[0]!==W||r[1]!==X)?(K&&(Z!==W&&J!==X?ct(Z&&J?(n=K,a=(i=t)[0]-n[0],o=(i[1]-n[1])/a,(n[1]*i[0]-i[1]*n[0])/a>0?[o>0?et:rt,it]:[o>0?rt:et,nt]):[Z||W,J||X]):Z&&J&&ct([Z,J])),ct([W,X])):Z-W&&J-X&&ct([W||Z,X||J]),K=t,Z=W,J=X}else K&&ut($(K,t)[0]),U[V++]=t;var n,i,a,o}for("linear"===D||"spline"===D?$=function(t,e){for(var r=[],n=0,i=0;i<4;i++){var a=at[i],o=c(t[0],t[1],e[0],e[1],a[0],a[1],a[2],a[3]);o&&(!n||Math.abs(o.x-r[0][0])>1||Math.abs(o.y-r[0][1])>1)&&(o=[o.x,o.y],n&&Y(o,t)<Y(r[0],t)?r.unshift(o):r.push(o),n++)}return r}:"hv"===D||"vh"===D?$=function(t,e){var r=[],n=ot(t),i=ot(e);return n&&i&&st(n,i)||(n&&r.push(n),i&&r.push(i)),r}:"hvh"===D?$=lt(0,et,rt):"vhv"===D&&($=lt(1,nt,it)),r=0;r<j;r++)if(n=H(r)){for(V=0,K=null,ft(n),r++;r<j;r++){if(!(h=H(r))){if(O)continue;break}if(R&&e.simplify){var ht=H(r+1);if(y=Y(h,n),F&&(0===V||V===j-1)||!(y<G(h,ht)*N)){for(g=[(h[0]-n[0])/y,(h[1]-n[1])/y],p=n,x=y,b=w=T=0,m=!1,a=h,r++;r<t.length;r++){if(d=ht,ht=H(r+1),!d){if(O)continue;break}if(k=(v=[d[0]-n[0],d[1]-n[1]])[0]*g[1]-v[1]*g[0],w=Math.min(w,k),(T=Math.max(T,k))-w>G(d,ht))break;a=d,(_=v[0]*g[0]+v[1]*g[1])>x?(x=_,h=d,m=!1):_<b&&(b=_,p=d,m=!0)}if(m?(ft(h),a!==p&&ft(p)):(p!==n&&ft(p),a!==h&&ft(h)),ft(a),r>=t.length||!d)break;ft(d),n=d}}else ft(h)}K&&ct([Z||K[0],J||K[1]]),B.push(U.slice(0,V))}return B}},{"../../constants/numerical":474,"../../lib":498,"./constants":926}],937:[function(t,e,r){"use strict";e.exports=function(t,e,r){"spline"===r("line.shape")&&r("line.smoothing")}},{}],938:[function(t,e,r){"use strict";var n={tonextx:1,tonexty:1,tonext:1};e.exports=function(t,e,r){var i,a,o,s,l,c={},u=!1,f=-1,h=0,p=-1;for(a=0;a<r.length;a++)(o=(i=r[a][0].trace).stackgroup||"")?o in c?l=c[o]:(l=c[o]=h,h++):i.fill in n&&p>=0?l=p:(l=p=h,h++),l<f&&(u=!0),i._groupIndex=f=l;var d=r.slice();u&&d.sort((function(t,e){var r=t[0].trace,n=e[0].trace;return r._groupIndex-n._groupIndex||r.index-n.index}));var m={};for(a=0;a<d.length;a++)o=(i=d[a][0].trace).stackgroup||"",!0===i.visible?(i._nexttrace=null,i.fill in n&&(s=m[o],i._prevtrace=s||null,s&&(s._nexttrace=i)),i._ownfill=i.fill&&("tozero"===i.fill.substr(0,6)||"toself"===i.fill||"to"===i.fill.substr(0,2)&&!i._prevtrace),m[o]=i):i._prevtrace=i._nexttrace=i._ownfill=null;return d}},{}],939:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t,e){e||(e=2);var r=t.marker,i=r.sizeref||1,a=r.sizemin||0,o="area"===r.sizemode?function(t){return Math.sqrt(t/i)}:function(t){return t/i};return function(t){var r=o(t/e);return n(r)&&r>0?Math.max(r,a):0}}},{"fast-isnumeric":185}],940:[function(t,e,r){"use strict";e.exports={container:"marker",min:"cmin",max:"cmax"}},{}],941:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("./subtypes");e.exports=function(t,e,r,s,l,c){var u=o.isBubble(t),f=(t.line||{}).color;(c=c||{},f&&(r=f),l("marker.symbol"),l("marker.opacity",u?.7:1),l("marker.size"),l("marker.color",r),i(t,"marker")&&a(t,e,s,l,{prefix:"marker.",cLetter:"c"}),c.noSelect||(l("selected.marker.color"),l("unselected.marker.color"),l("selected.marker.size"),l("unselected.marker.size")),c.noLine||(l("marker.line.color",f&&!Array.isArray(f)&&e.marker.color!==f?f:u?n.background:n.defaultLine),i(t,"marker.line")&&a(t,e,s,l,{prefix:"marker.line.",cLetter:"c"}),l("marker.line.width",u?1:0)),u&&(l("marker.sizeref"),l("marker.sizemin"),l("marker.sizemode")),c.gradient)&&("none"!==l("marker.gradient.type")&&l("marker.gradient.color"))}},{"../../components/color":361,"../../components/colorscale/defaults":371,"../../components/colorscale/helpers":372,"./subtypes":947}],942:[function(t,e,r){"use strict";var n=t("../../lib").dateTick0,i=t("../../constants/numerical").ONEWEEK;function a(t,e){return n(e,t%i==0?1:0)}e.exports=function(t,e,r,n,i){if(i||(i={x:!0,y:!0}),i.x){var o=n("xperiod");o&&(n("xperiod0",a(o,e.xcalendar)),n("xperiodalignment"))}if(i.y){var s=n("yperiod");s&&(n("yperiod0",a(s,e.ycalendar)),n("yperiodalignment"))}}},{"../../constants/numerical":474,"../../lib":498}],943:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../lib"),o=a.ensureSingle,s=a.identity,l=t("../../components/drawing"),c=t("./subtypes"),u=t("./line_points"),f=t("./link_traces"),h=t("../../lib/polygon").tester;function p(t,e,r,f,p,d,m){var g;!function(t,e,r,i,o){var s=r.xaxis,l=r.yaxis,u=n.extent(a.simpleMap(s.range,s.r2c)),f=n.extent(a.simpleMap(l.range,l.r2c)),h=i[0].trace;if(!c.hasMarkers(h))return;var p=h.marker.maxdisplayed;if(0===p)return;var d=i.filter((function(t){return t.x>=u[0]&&t.x<=u[1]&&t.y>=f[0]&&t.y<=f[1]})),m=Math.ceil(d.length/p),g=0;o.forEach((function(t,r){var n=t[0].trace;c.hasMarkers(n)&&n.marker.maxdisplayed>0&&r<e&&g++}));var v=Math.round(g*m/3+Math.floor(g/3)*m/7.1);i.forEach((function(t){delete t.vis})),d.forEach((function(t,e){0===Math.round((e+v)%m)&&(t.vis=!0)}))}(0,e,r,f,p);var v=!!m&&m.duration>0;function y(t){return v?t.transition():t}var x=r.xaxis,b=r.yaxis,_=f[0].trace,w=_.line,T=n.select(d),k=o(T,"g","errorbars"),A=o(T,"g","lines"),M=o(T,"g","points"),S=o(T,"g","text");if(i.getComponentMethod("errorbars","plot")(t,k,r,m),!0===_.visible){var E,L;y(T).style("opacity",_.opacity);var C=_.fill.charAt(_.fill.length-1);"x"!==C&&"y"!==C&&(C=""),f[0][r.isRangePlot?"nodeRangePlot3":"node3"]=T;var P,I,O="",z=[],D=_._prevtrace;D&&(O=D._prevRevpath||"",L=D._nextFill,z=D._polygons);var R,F,B,N,j,U,V,H="",q="",G=[],Y=a.noop;if(E=_._ownFill,c.hasLines(_)||"none"!==_.fill){for(L&&L.datum(f),-1!==["hv","vh","hvh","vhv"].indexOf(w.shape)?(R=l.steps(w.shape),F=l.steps(w.shape.split("").reverse().join(""))):R=F="spline"===w.shape?function(t){var e=t[t.length-1];return t.length>1&&t[0][0]===e[0]&&t[0][1]===e[1]?l.smoothclosed(t.slice(1),w.smoothing):l.smoothopen(t,w.smoothing)}:function(t){return"M"+t.join("L")},B=function(t){return F(t.reverse())},G=u(f,{xaxis:x,yaxis:b,connectGaps:_.connectgaps,baseTolerance:Math.max(w.width||1,3)/4,shape:w.shape,simplify:w.simplify,fill:_.fill}),V=_._polygons=new Array(G.length),g=0;g<G.length;g++)_._polygons[g]=h(G[g]);G.length&&(N=G[0][0],U=(j=G[G.length-1])[j.length-1]),Y=function(t){return function(e){if(P=R(e),I=B(e),H?C?(H+="L"+P.substr(1),q=I+"L"+q.substr(1)):(H+="Z"+P,q=I+"Z"+q):(H=P,q=I),c.hasLines(_)&&e.length>1){var r=n.select(this);if(r.datum(f),t)y(r.style("opacity",0).attr("d",P).call(l.lineGroupStyle)).style("opacity",1);else{var i=y(r);i.attr("d",P),l.singleLineStyle(f,i)}}}}}var W=A.selectAll(".js-line").data(G);y(W.exit()).style("opacity",0).remove(),W.each(Y(!1)),W.enter().append("path").classed("js-line",!0).style("vector-effect","non-scaling-stroke").call(l.lineGroupStyle).each(Y(!0)),l.setClipUrl(W,r.layerClipId,t),G.length?(E?(E.datum(f),N&&U&&(C?("y"===C?N[1]=U[1]=b.c2p(0,!0):"x"===C&&(N[0]=U[0]=x.c2p(0,!0)),y(E).attr("d","M"+U+"L"+N+"L"+H.substr(1)).call(l.singleFillStyle,t)):y(E).attr("d",H+"Z").call(l.singleFillStyle,t))):L&&("tonext"===_.fill.substr(0,6)&&H&&O?("tonext"===_.fill?y(L).attr("d",H+"Z"+O+"Z").call(l.singleFillStyle,t):y(L).attr("d",H+"L"+O.substr(1)+"Z").call(l.singleFillStyle,t),_._polygons=_._polygons.concat(z)):(Z(L),_._polygons=null)),_._prevRevpath=q,_._prevPolygons=V):(E?Z(E):L&&Z(L),_._polygons=_._prevRevpath=_._prevPolygons=null),M.datum(f),S.datum(f),function(e,i,a){var o,u=a[0].trace,f=c.hasMarkers(u),h=c.hasText(u),p=tt(u),d=et,m=et;if(f||h){var g=s,_=u.stackgroup,w=_&&"infer zero"===t._fullLayout._scatterStackOpts[x._id+b._id][_].stackgaps;u.marker.maxdisplayed||u._needsCull?g=w?K:J:_&&!w&&(g=Q),f&&(d=g),h&&(m=g)}var T,k=(o=e.selectAll("path.point").data(d,p)).enter().append("path").classed("point",!0);v&&k.call(l.pointStyle,u,t).call(l.translatePoints,x,b).style("opacity",0).transition().style("opacity",1),o.order(),f&&(T=l.makePointStyleFns(u)),o.each((function(e){var i=n.select(this),a=y(i);l.translatePoint(e,a,x,b)?(l.singlePointStyle(e,a,u,T,t),r.layerClipId&&l.hideOutsideRangePoint(e,a,x,b,u.xcalendar,u.ycalendar),u.customdata&&i.classed("plotly-customdata",null!==e.data&&void 0!==e.data)):a.remove()})),v?o.exit().transition().style("opacity",0).remove():o.exit().remove(),(o=i.selectAll("g").data(m,p)).enter().append("g").classed("textpoint",!0).append("text"),o.order(),o.each((function(t){var e=n.select(this),i=y(e.select("text"));l.translatePoint(t,i,x,b)?r.layerClipId&&l.hideOutsideRangePoint(t,e,x,b,u.xcalendar,u.ycalendar):e.remove()})),o.selectAll("text").call(l.textPointStyle,u,t).each((function(t){var e=x.c2p(t.x),r=b.c2p(t.y);n.select(this).selectAll("tspan.line").each((function(){y(n.select(this)).attr({x:e,y:r})}))})),o.exit().remove()}(M,S,f);var X=!1===_.cliponaxis?null:r.layerClipId;l.setClipUrl(M,X,t),l.setClipUrl(S,X,t)}function Z(t){y(t).attr("d","M0,0Z")}function J(t){return t.filter((function(t){return!t.gap&&t.vis}))}function K(t){return t.filter((function(t){return t.vis}))}function Q(t){return t.filter((function(t){return!t.gap}))}function $(t){return t.id}function tt(t){if(t.ids)return $}function et(){return!1}}e.exports=function(t,e,r,i,a,c){var u,h,d=!a,m=!!a&&a.duration>0,g=f(t,e,r);((u=i.selectAll("g.trace").data(g,(function(t){return t[0].trace.uid}))).enter().append("g").attr("class",(function(t){return"trace scatter trace"+t[0].trace.uid})).style("stroke-miterlimit",2),u.order(),function(t,e,r){e.each((function(e){var i=o(n.select(this),"g","fills");l.setClipUrl(i,r.layerClipId,t);var a=e[0].trace,c=[];a._ownfill&&c.push("_ownFill"),a._nexttrace&&c.push("_nextFill");var u=i.selectAll("g").data(c,s);u.enter().append("g"),u.exit().each((function(t){a[t]=null})).remove(),u.order().each((function(t){a[t]=o(n.select(this),"path","js-fill")}))}))}(t,u,e),m)?(c&&(h=c()),n.transition().duration(a.duration).ease(a.easing).each("end",(function(){h&&h()})).each("interrupt",(function(){h&&h()})).each((function(){i.selectAll("g.trace").each((function(r,n){p(t,n,e,r,g,this,a)}))}))):u.each((function(r,n){p(t,n,e,r,g,this,a)}));d&&u.exit().remove(),i.selectAll("path:not([d])").remove()}},{"../../components/drawing":383,"../../lib":498,"../../lib/polygon":510,"../../registry":633,"./line_points":936,"./link_traces":938,"./subtypes":947,"@plotly/d3":58}],944:[function(t,e,r){"use strict";var n=t("./subtypes");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[],f=s[0].trace;if(!n.hasMarkers(f)&&!n.hasText(f))return[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)i=s[r],a=l.c2p(i.x),o=c.c2p(i.y),null!==i.i&&e.contains([a,o],!1,r,t)?(u.push({pointNumber:i.i,x:l.c2d(i.x),y:c.c2d(i.y)}),i.selected=1):i.selected=0;return u}},{"./subtypes":947}],945:[function(t,e,r){"use strict";var n=["orientation","groupnorm","stackgaps"];e.exports=function(t,e,r,i){var a=r._scatterStackOpts,o=i("stackgroup");if(o){var s=e.xaxis+e.yaxis,l=a[s];l||(l=a[s]={});var c=l[o],u=!1;c?c.traces.push(e):(c=l[o]={traceIndices:[],traces:[e]},u=!0);for(var f={orientation:e.x&&!e.y?"h":"v"},h=0;h<n.length;h++){var p=n[h],d=p+"Found";if(!c[d]){var m=void 0!==t[p],g="orientation"===p;if((m||u)&&(c[p]=i(p,f[p]),g&&(c.fillDflt="h"===c[p]?"tonextx":"tonexty"),m&&(c[d]=!0,!u&&(delete c.traces[0][p],g))))for(var v=0;v<c.traces.length-1;v++){var y=c.traces[v];y._input.fill!==y.fill&&(y.fill=c.fillDflt)}}}return c}}},{}],946:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../registry");function o(t,e,r){i.pointStyle(t.selectAll("path.point"),e,r)}function s(t,e,r){i.textPointStyle(t.selectAll("text"),e,r)}e.exports={style:function(t){var e=n.select(t).selectAll("g.trace.scatter");e.style("opacity",(function(t){return t[0].trace.opacity})),e.selectAll("g.points").each((function(e){o(n.select(this),e.trace||e[0].trace,t)})),e.selectAll("g.text").each((function(e){s(n.select(this),e.trace||e[0].trace,t)})),e.selectAll("g.trace path.js-line").call(i.lineGroupStyle),e.selectAll("g.trace path.js-fill").call(i.fillGroupStyle,t),a.getComponentMethod("errorbars","style")(e)},stylePoints:o,styleText:s,styleOnSelect:function(t,e,r){var n=e[0].trace;n.selectedpoints?(i.selectedPointStyle(r.selectAll("path.point"),n),i.selectedTextStyle(r.selectAll("text"),n)):(o(r,n,t),s(r,n,t))}}},{"../../components/drawing":383,"../../registry":633,"@plotly/d3":58}],947:[function(t,e,r){"use strict";var n=t("../../lib");e.exports={hasLines:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("lines")},hasMarkers:function(t){return t.visible&&(t.mode&&-1!==t.mode.indexOf("markers")||"splom"===t.type)},hasText:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("text")},isBubble:function(t){return n.isPlainObject(t.marker)&&n.isArrayOrTypedArray(t.marker.size)}}},{"../../lib":498}],948:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r,i,a){a=a||{},i("textposition"),n.coerceFont(i,"textfont",r.font),a.noSelect||(i("selected.textfont.color"),i("unselected.textfont.color"))}},{"../../lib":498}],949:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry");e.exports=function(t,e,r,a){var o,s=a("x"),l=a("y");if(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,a("y0"),a("dy"))}else{if(!l)return 0;o=n.minRowLength(l),a("x0"),a("dx")}return e._length=o,o}},{"../../lib":498,"../../registry":633}],950:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("../../plots/attributes"),c=t("../../constants/gl3d_dashes"),u=t("../../constants/gl3d_markers"),f=t("../../lib/extend").extendFlat,h=t("../../plot_api/edit_types").overrideAll,p=t("../../lib/sort_object_keys"),d=n.line,m=n.marker,g=m.line,v=f({width:d.width,dash:{valType:"enumerated",values:p(c),dflt:"solid"}},i("line"));var y=e.exports=h({x:n.x,y:n.y,z:{valType:"data_array"},text:f({},n.text,{}),texttemplate:s({},{}),hovertext:f({},n.hovertext,{}),hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),mode:f({},n.mode,{dflt:"lines+markers"}),surfaceaxis:{valType:"enumerated",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:"color"},projection:{x:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},y:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},z:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:v,marker:f({symbol:{valType:"enumerated",values:p(u),dflt:"circle",arrayOk:!0},size:f({},m.size,{dflt:8}),sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode,opacity:f({},m.opacity,{arrayOk:!1}),colorbar:m.colorbar,line:f({width:f({},g.width,{arrayOk:!1})},i("marker.line"))},i("marker")),textposition:f({},n.textposition,{dflt:"top center"}),textfont:{color:n.textfont.color,size:n.textfont.size,family:f({},n.textfont.family,{arrayOk:!1})},opacity:l.opacity,hoverinfo:f({},l.hoverinfo)},"calc","nested");y.x.editType=y.y.editType=y.z.editType="calc+clearAxisTypes"},{"../../components/colorscale/attributes":368,"../../constants/gl3d_dashes":471,"../../constants/gl3d_markers":472,"../../lib/extend":488,"../../lib/sort_object_keys":521,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../scatter/attributes":922}],951:[function(t,e,r){"use strict";var n=t("../scatter/arrays_to_calcdata"),i=t("../scatter/colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(r,e),i(t,e),r}},{"../scatter/arrays_to_calcdata":921,"../scatter/colorscale_calc":925}],952:[function(t,e,r){"use strict";var n=t("../../registry");function i(t,e,r,i){if(!e||!e.visible)return null;for(var a=n.getComponentMethod("errorbars","makeComputeError")(e),o=new Array(t.length),s=0;s<t.length;s++){var l=a(+t[s],s);if("log"===i.type){var c=i.c2l(t[s]),u=t[s]-l[0],f=t[s]+l[1];if(o[s]=[(i.c2l(u,!0)-c)*r,(i.c2l(f,!0)-c)*r],u>0){var h=i.c2l(u);i._lowerLogErrorBound||(i._lowerLogErrorBound=h),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,h)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s<a;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l}return o}},{"../../registry":633}],953:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_line3d,i=t("../../../stackgl_modules").gl_scatter3d,a=t("../../../stackgl_modules").gl_error3d,o=t("../../../stackgl_modules").gl_mesh3d,s=t("../../../stackgl_modules").delaunay_triangulate,l=t("../../lib"),c=t("../../lib/str2rgbarray"),u=t("../../lib/gl_format_color").formatColor,f=t("../scatter/make_bubble_size_func"),h=t("../../constants/gl3d_dashes"),p=t("../../constants/gl3d_markers"),d=t("../../plots/cartesian/axes"),m=t("../../components/fx/helpers").appendArrayPointValue,g=t("./calc_errors");function v(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode="",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var y=v.prototype;function x(t){return null==t?0:t.indexOf("left")>-1?-1:t.indexOf("right")>-1?1:0}function b(t){return null==t?0:t.indexOf("top")>-1?-1:t.indexOf("bottom")>-1?1:0}function _(t,e){return e(4*t)}function w(t){return p[t]}function T(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o<e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return a}function k(t,e){var r,n,i,a,o,s,h=[],p=t.fullSceneLayout,v=t.dataScale,y=p.xaxis,k=p.yaxis,A=p.zaxis,M=e.marker,S=e.line,E=e.x||[],L=e.y||[],C=e.z||[],P=E.length,I=e.xcalendar,O=e.ycalendar,z=e.zcalendar;for(o=0;o<P;o++)r=y.d2l(E[o],0,I)*v[0],n=k.d2l(L[o],0,O)*v[1],i=A.d2l(C[o],0,z)*v[2],h[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(P),o=0;o<P;o++)s[o]=e.text;function D(t,e){var r=p[t];return d.tickText(r,r.d2l(e),!0).text}var R=e.texttemplate;if(R){var F=t.fullLayout._d3locale,B=Array.isArray(R),N=B?Math.min(R.length,P):P,j=B?function(t){return R[t]}:function(){return R};for(s=new Array(N),o=0;o<N;o++){var U={x:E[o],y:L[o],z:C[o]},V={xLabel:D("xaxis",E[o]),yLabel:D("yaxis",L[o]),zLabel:D("zaxis",C[o])},H={};m(H,e,o);var q=e._meta||{};s[o]=l.texttemplateString(j(o),V,F,H,U,q)}}if(a={position:h,mode:e.mode,text:s},"line"in e&&(a.lineColor=u(S,1,P),a.lineWidth=S.width,a.lineDashes=S.dash),"marker"in e){var G=f(e);a.scatterColor=u(M,1,P),a.scatterSize=T(M.size,P,_,20,G),a.scatterMarker=T(M.symbol,P,w,"\u25cf"),a.scatterLineWidth=M.line.width,a.scatterLineColor=u(M.line,1,P),a.scatterAngle=0}"textposition"in e&&(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r<t.length;r++)e[r]=[0,0],t[r]&&(e[r][0]=x(t[r]),e[r][1]=b(t[r]));else e[0]=x(t),e[1]=b(t);return e}(e.textposition),a.textColor=u(e.textfont,1,P),a.textSize=T(e.textfont.size,P,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var Y=["x","y","z"];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o<3;++o){var W=e.projection[Y[o]];(a.project[o]=W.show)&&(a.projectOpacity[o]=W.opacity,a.projectScale[o]=W.scale)}a.errorBounds=g(e,v,p);var X=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&!1!==a.copy_zstyle&&!1!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=X.color,a.errorLineWidth=X.lineWidth,a.errorCapSize=X.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}function A(t){if(l.isArrayOrTypedArray(t)){var e=t[0];return l.isArrayOrTypedArray(e)&&(t=e),"rgb("+t.slice(0,3).map((function(t){return Math.round(255*t)}))+")"}return null}function M(t){return l.isArrayOrTypedArray(t)?4===t.length&&"number"==typeof t[0]?A(t):t.map(A):null}y.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel="",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},y.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,f=h.solid;this.data=t;var p=k(this.scene,t);"mode"in p&&(this.mode=p.mode),"lineDashes"in p&&p.lineDashes in h&&(f=h[p.lineDashes]),this.color=M(p.scatterColor)||M(p.lineColor),this.dataPoints=p.position,e={gl:this.scene.glplot.gl,position:p.position,color:p.lineColor,lineWidth:p.lineWidth||1,dashes:f[0],dashScale:f[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var m=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var f=u[n],h=0;h<f.length;++h)f[h]=l[f[h]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);m.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(m):(m.gl=u,this.delaunayMesh=o(m),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new v(t,e.uid);return r.update(e),r}},{"../../../stackgl_modules":1119,"../../components/fx/helpers":397,"../../constants/gl3d_dashes":471,"../../constants/gl3d_markers":472,"../../lib":498,"../../lib/gl_format_color":494,"../../lib/str2rgbarray":523,"../../plots/cartesian/axes":549,"../scatter/make_bubble_size_func":939,"./calc_errors":952}],954:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,u)){f("text"),f("hovertext"),f("hovertemplate"),f("xhoverformat"),f("yhoverformat"),f("zhoverformat"),f("mode"),a.hasLines(e)&&(f("connectgaps"),s(t,e,r,u,f)),a.hasMarkers(e)&&o(t,e,r,u,f,{noSelect:!0}),a.hasText(e)&&(f("texttemplate"),l(t,e,u,f,{noSelect:!0}));var h=(e.line||{}).color,p=(e.marker||{}).color;f("surfaceaxis")>=0&&f("surfacecolor",h||p);for(var d=["x","y","z"],m=0;m<3;++m){var g="projection."+d[m];f(g+".show")&&(f(g+".opacity"),f(g+".scale"))}var v=n.getComponentMethod("errorbars","supplyDefaults");v(t,e,h||p||r,{axis:"z"}),v(t,e,h||p||r,{axis:"y",inherit:"z"}),v(t,e,h||p||r,{axis:"x",inherit:"z"})}else e.visible=!1}},{"../../lib":498,"../../registry":633,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":950}],955:[function(t,e,r){"use strict";e.exports={plot:t("./convert"),attributes:t("./attributes"),markerSymbols:t("../../constants/gl3d_markers"),supplyDefaults:t("./defaults"),colorbar:[{container:"marker",min:"cmin",max:"cmax"},{container:"line",min:"cmin",max:"cmax"}],calc:t("./calc"),moduleType:"trace",name:"scatter3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","symbols","showLegend","scatter-like"],meta:{}}},{"../../constants/gl3d_markers":472,"../../plots/gl3d":593,"./attributes":950,"./calc":951,"./convert":953,"./defaults":954}],956:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../components/colorscale/attributes"),l=t("../../lib/extend").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:"string",editType:"calc"},a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},mode:l({},n.mode,{dflt:"markers"}),text:l({},n.text,{}),texttemplate:o({editType:"plot"},{keys:["a","b","text"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:["linear","spline"]}),smoothing:u.smoothing,editType:"calc"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:"calc"},s("marker.line")),gradient:c.gradient,editType:"calc"},s("marker")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:["a","b","text","name"]}),hoveron:n.hoveron,hovertemplate:a()}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scatter/attributes":922}],957:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../scatter/colorscale_calc"),a=t("../scatter/arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../scatter/calc").calcMarkerSize,l=t("../carpet/lookup_carpetid");e.exports=function(t,e){var r=e._carpetTrace=l(t,e);if(r&&r.visible&&"legendonly"!==r.visible){var c;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var u,f,h=e._length,p=new Array(h),d=!1;for(c=0;c<h;c++)if(u=e.a[c],f=e.b[c],n(u)&&n(f)){var m=r.ab2xy(+u,+f,!0),g=r.isVisible(+u,+f);g||(d=!0),p[c]={x:m[0],y:m[1],a:u,b:f,vis:g}}else p[c]={x:!1,y:!1};return e._needsCull=d,p[0].carpet=r,p[0].trace=e,s(e,h),i(t,e),a(p,e),o(p,e),p}}},{"../carpet/lookup_carpetid":703,"../scatter/arrays_to_calcdata":921,"../scatter/calc":923,"../scatter/calc_selection":924,"../scatter/colorscale_calc":925,"fast-isnumeric":185}],958:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),m=p("b"),g=Math.min(d.length,m.length);if(g){e._length=g,p("text"),p("texttemplate"),p("hovertext"),p("mode",g<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),v.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||v.push("fills"),"fills"!==p("hoveron",v.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{"../../lib":498,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/line_shape_defaults":937,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":956}],959:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],960:[function(t,e,r){"use strict";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],961:[function(t,e,r){"use strict";var n=t("../scatter/hover"),i=t("../../lib").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,h.a),-1!==v.indexOf("b")&&y(d.baxis,h.b),g.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(h,p,g),s.extraText=g.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,g.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":498,"../scatter/hover":933}],962:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../scatter/select"),eventData:t("./event_data"),moduleType:"trace",name:"scattercarpet",basePlotModule:t("../../plots/cartesian"),categories:["svg","carpet","symbols","showLegend","carpetDependent","zoomScale"],meta:{}}},{"../../plots/cartesian":563,"../scatter/marker_colorbar":940,"../scatter/select":944,"../scatter/style":946,"./attributes":956,"./calc":957,"./defaults":958,"./event_data":959,"./format_labels":960,"./hover":961,"./plot":963}],963:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../plots/cartesian/axes"),a=t("../../components/drawing");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{"../../components/drawing":383,"../../plots/cartesian/axes":549,"../scatter/plot":943}],964:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names","geojson-id"],dflt:"ISO-3"},geojson:{valType:"any",editType:"calc"},featureidkey:{valType:"string",editType:"calc",dflt:"id"},mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","location","text"]}),hovertext:c({},a.hovertext,{}),textfont:a.textfont,textposition:a.textposition,line:{color:h.color,width:h.width,dash:l},connectgaps:a.connectgaps,marker:c({symbol:f.symbol,opacity:f.opacity,size:f.size,sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,colorbar:f.colorbar,line:c({width:p.width},s("marker.line")),gradient:f.gradient},s("marker")),fill:{valType:"enumerated",values:["none","toself"],dflt:"none"},fillcolor:a.fillcolor,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:["lon","lat","location","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":368,"../../components/drawing/attributes":382,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scatter/attributes":922}],965:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../scatter/colorscale_calc"),o=t("../scatter/arrays_to_calcdata"),s=t("../scatter/calc_selection"),l=t("../../lib")._;function c(t){return t&&"string"==typeof t}e.exports=function(t,e){var r,u=Array.isArray(e.locations),f=u?e.locations.length:e._length,h=new Array(f);r=e.geojson?function(t){return c(t)||n(t)}:c;for(var p=0;p<f;p++){var d=h[p]={};if(u){var m=e.locations[p];d.loc=r(m)?m:null}else{var g=e.lon[p],v=e.lat[p];n(g)&&n(v)?d.lonlat=[+g,+v]:d.lonlat=[i,i]}}return o(h,e),a(t,e),s(h,e),f&&(h[0].t={labels:{lat:l(t,"lat:")+" ",lon:l(t,"lon:")+" "}}),h}},{"../../constants/numerical":474,"../../lib":498,"../scatter/arrays_to_calcdata":921,"../scatter/calc_selection":924,"../scatter/colorscale_calc":925,"fast-isnumeric":185}],966:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f("locations");if(p&&p.length){var d,m=f("geojson");("string"==typeof m&&""!==m||n.isPlainObject(m))&&(d="geojson-id"),"geojson-id"===f("locationmode",d)&&f("featureidkey"),h=p.length}else{var g=f("lon")||[],v=f("lat")||[];h=Math.min(g.length,v.length)}h?(e._length=h,f("text"),f("hovertext"),f("hovertemplate"),f("mode"),i.hasLines(e)&&(o(t,e,r,u,f),f("connectgaps")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f("texttemplate"),s(t,e,u,f)),f("fill"),"none"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{"../../lib":498,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":964}],967:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],968:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{"../../plots/cartesian/axes":549}],969:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../constants/numerical").BADNUM,a=t("../scatter/get_trace_color"),o=t("../../lib").fillText,s=t("./attributes");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var m=l[t.index],g=m.lonlat,v=[u.c2p(g),f.c2p(g)],y=m.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=m.loc,t.lon=g[0],t.lat=g[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(m,c,x);return t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,m),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var i=e.hi||t.hoverinfo,a="all"===i?s.hoverinfo.flags:i.split("+"),l=-1!==a.indexOf("location")&&Array.isArray(t.locations),c=-1!==a.indexOf("lon"),u=-1!==a.indexOf("lat"),f=-1!==a.indexOf("text"),h=[];function p(t){return t+"\xb0"}l?h.push(e.loc):c&&u?h.push("("+p(r.latLabel)+", "+p(r.lonLabel)+")"):c?h.push(n.lon+p(r.lonLabel)):u&&h.push(n.lat+p(r.latLabel));f&&o(e,t,h);return h.join("<br>")}(c,m,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":401,"../../constants/numerical":474,"../../lib":498,"../scatter/get_trace_color":932,"./attributes":964}],970:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),calcGeoJSON:t("./plot").calcGeoJSON,plot:t("./plot").plot,style:t("./style"),styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"scattergeo",basePlotModule:t("../../plots/geo"),categories:["geo","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/geo":584,"../scatter/marker_colorbar":940,"../scatter/style":946,"./attributes":964,"./calc":965,"./defaults":966,"./event_data":967,"./format_labels":968,"./hover":969,"./plot":971,"./select":972,"./style":973}],971:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../lib/topojson_utils").getTopojsonFeatures,o=t("../../lib/geojson_utils"),s=t("../../lib/geo_location_utils"),l=t("../../plots/cartesian/autorange").findExtremes,c=t("../../constants/numerical").BADNUM,u=t("../scatter/calc").calcMarkerSize,f=t("../scatter/subtypes"),h=t("./style");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d="geojson-id"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r<h;r++){n=t[r];var m="geojson-id"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=m?m.properties.ct:[c,c]}}var g,v,y={padded:!0};if("geojson"===o.fitbounds&&"geojson-id"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));g=[x[0],x[2]],v=[x[1],x[3]]}else{for(g=new Array(h),v=new Array(h),r=0;r<h;r++)n=t[r],g[r]=n.lonlat[0],v[r]=n.lonlat[1];y.ppad=u(i,h)}i._extremes.lon=l(o.lonaxis._ax,g,y),i._extremes.lat=l(o.lataxis._ax,v,y)},plot:function(t,e,r){var a=e.layers.frontplot.select(".scatterlayer"),s=i.makeTraceGroups(a,r,"trace scattergeo");function l(t,e){t.lonlat[0]===c&&n.select(e).remove()}s.selectAll("*").remove(),s.each((function(e){var r=n.select(this),a=e[0].trace;if(f.hasLines(a)||"none"!==a.fill){var s=o.calcTraceToLineCoords(e),c="none"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll("path.js-line").data([{geojson:c,trace:a}]).enter().append("path").classed("js-line",!0).style("stroke-miterlimit",2)}f.hasMarkers(a)&&r.selectAll("path.point").data(i.identity).enter().append("path").classed("point",!0).each((function(t){l(t,this)})),f.hasText(a)&&r.selectAll("g").data(i.identity).enter().append("g").append("text").each((function(t){l(t,this)})),h(t,e)}))}}},{"../../constants/numerical":474,"../../lib":498,"../../lib/geo_location_utils":491,"../../lib/geojson_utils":492,"../../lib/topojson_utils":527,"../../plots/cartesian/autorange":548,"../scatter/calc":923,"../scatter/subtypes":947,"./style":973,"@plotly/d3":58}],972:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),i=t("../../constants/numerical").BADNUM;e.exports=function(t,e){var r,a,o,s,l,c=t.cd,u=t.xaxis,f=t.yaxis,h=[],p=c[0].trace;if(!n.hasMarkers(p)&&!n.hasText(p))return[];if(!1===e)for(l=0;l<c.length;l++)c[l].selected=0;else for(l=0;l<c.length;l++)(a=(r=c[l]).lonlat)[0]!==i&&(o=u.c2p(a),s=f.c2p(a),e.contains([o,s],null,l,t)?(h.push({pointNumber:l,lon:a[0],lat:a[1]}),r.selected=1):r.selected=0);return h}},{"../../constants/numerical":474,"../scatter/subtypes":947}],973:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color"),o=t("../scatter/style"),s=o.stylePoints,l=o.styleText;e.exports=function(t,e){e&&function(t,e){var r=e[0].trace,o=e[0].node3;o.style("opacity",e[0].trace.opacity),s(o,r,t),l(o,r,t),o.selectAll("path.js-line").style("fill","none").each((function(t){var e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||"",o.width||0),"none"!==r.fill&&e.call(a.fill,r.fillcolor)}))}(t,e)}},{"../../components/color":361,"../../components/drawing":383,"../scatter/style":946,"@plotly/d3":58}],974:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../scatter/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../components/colorscale/attributes"),s=t("../../lib/sort_object_keys"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll,u=t("./constants").DASHES,f=i.line,h=i.marker,p=h.line,d=e.exports=c({x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:a("x"),yhoverformat:a("y"),text:i.text,hovertext:i.hovertext,textposition:i.textposition,textfont:i.textfont,mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"]},line:{color:f.color,width:f.width,shape:{valType:"enumerated",values:["linear","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot"},dash:{valType:"enumerated",values:s(u),dflt:"solid"}},marker:l({},o("marker"),{symbol:h.symbol,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:h.opacity,colorbar:h.colorbar,line:l({},o("marker.line"),{width:p.width})}),connectgaps:i.connectgaps,fill:l({},i.fill,{dflt:"none"}),fillcolor:i.fillcolor,selected:{marker:i.selected.marker,textfont:i.selected.textfont},unselected:{marker:i.unselected.marker,textfont:i.unselected.textfont},opacity:n.opacity},"calc","nested");d.x.editType=d.y.editType=d.x0.editType=d.y0.editType="calc+clearAxisTypes",d.hovertemplate=i.hovertemplate,d.texttemplate=i.texttemplate},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../lib/sort_object_keys":521,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../scatter/attributes":922,"./constants":977}],975:[function(t,e,r){"use strict";var n=t("./hover");e.exports={moduleType:"trace",name:"scattergl",basePlotModule:t("../../plots/cartesian"),categories:["gl","regl","cartesian","symbols","errorBarsOK","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../scatter/cross_trace_defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),hoverPoints:n.hoverPoints,selectPoints:t("./select"),meta:{}}},{"../../plots/cartesian":563,"../scatter/cross_trace_defaults":928,"../scatter/marker_colorbar":940,"./attributes":974,"./calc":976,"./defaults":979,"./format_labels":981,"./hover":983,"./select":987}],976:[function(t,e,r){"use strict";var n=t("@plotly/point-cluster"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids"),o=t("../../plots/cartesian/autorange").findExtremes,s=t("../../plots/cartesian/align_period"),l=t("../scatter/calc"),c=l.calcMarkerSize,u=l.calcAxisExpansion,f=l.setFirstScatter,h=t("../scatter/colorscale_calc"),p=t("./convert"),d=t("./scene_update"),m=t("../../constants/numerical").BADNUM,g=t("./constants").TOO_MANY_POINTS;function v(t,e,r){var n=t._extremes[e._id],i=o(e,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}e.exports=function(t,e){var r,o=t._fullLayout,l=a.getFromId(t,e.xaxis),y=a.getFromId(t,e.yaxis),x=o._plots[e.xaxis+e.yaxis],b=e._length,_=b>=g,w=2*b,T={},k=l.makeCalcdata(e,"x"),A=y.makeCalcdata(e,"y"),M=s(e,l,"x",k),S=s(e,y,"y",A),E=M.vals,L=S.vals;e._x=E,e._y=L,e.xperiodalignment&&(e._origX=k,e._xStarts=M.starts,e._xEnds=M.ends),e.yperiodalignment&&(e._origY=A,e._yStarts=S.starts,e._yEnds=S.ends);var C=new Array(w),P=new Array(b);for(r=0;r<b;r++)C[2*r]=E[r]===m?NaN:E[r],C[2*r+1]=L[r]===m?NaN:L[r],P[r]=r;if("log"===l.type)for(r=0;r<w;r+=2)C[r]=l.c2l(C[r]);if("log"===y.type)for(r=1;r<w;r+=2)C[r]=y.c2l(C[r]);_&&"log"!==l.type&&"log"!==y.type?T.tree=n(C):T.ids=P,h(t,e);var I,O=function(t,e,r,n,a,o){var s=p.style(t,r);s.marker&&(s.marker.positions=n);s.line&&n.length>1&&i.extendFlat(s.line,p.linePositions(t,r,n));if(s.errorX||s.errorY){var l=p.errorBarPositions(t,r,n,a,o);s.errorX&&i.extendFlat(s.errorX,l.x),s.errorY&&i.extendFlat(s.errorY,l.y)}s.text&&(i.extendFlat(s.text,{positions:n},p.textPosition(t,r,s.text,s.marker)),i.extendFlat(s.textSel,{positions:n},p.textPosition(t,r,s.text,s.markerSel)),i.extendFlat(s.textUnsel,{positions:n},p.textPosition(t,r,s.text,s.markerUnsel)));return s}(t,0,e,C,E,L),z=d(t,x);return f(o,e),_?O.marker&&(I=O.marker.sizeAvg||Math.max(O.marker.size,3)):I=c(e,b),u(t,e,l,y,E,L,I),O.errorX&&v(e,l,O.errorX),O.errorY&&v(e,y,O.errorY),O.fill&&!z.fill2d&&(z.fill2d=!0),O.marker&&!z.scatter2d&&(z.scatter2d=!0),O.line&&!z.line2d&&(z.line2d=!0),!O.errorX&&!O.errorY||z.error2d||(z.error2d=!0),O.text&&!z.glText&&(z.glText=!0),O.marker&&(O.marker.snap=b),z.lineOptions.push(O.line),z.errorXOptions.push(O.errorX),z.errorYOptions.push(O.errorY),z.fillOptions.push(O.fill),z.markerOptions.push(O.marker),z.markerSelectedOptions.push(O.markerSel),z.markerUnselectedOptions.push(O.markerUnsel),z.textOptions.push(O.text),z.textSelectedOptions.push(O.textSel),z.textUnselectedOptions.push(O.textUnsel),z.selectBatch.push([]),z.unselectBatch.push([]),T._scene=z,T.index=z.count,T.x=E,T.y=L,T.positions=C,z.count++,[{x:!1,y:!1,t:T,trace:e}]}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/autorange":548,"../../plots/cartesian/axis_ids":553,"../scatter/calc":923,"../scatter/colorscale_calc":925,"./constants":977,"./convert":978,"./scene_update":986,"@plotly/point-cluster":59}],977:[function(t,e,r){"use strict";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],978:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("svg-path-sdf"),a=t("color-normalize"),o=t("../../registry"),s=t("../../lib"),l=t("../../components/drawing"),c=t("../../plots/cartesian/axis_ids"),u=t("../../lib/gl_format_color").formatColor,f=t("../scatter/subtypes"),h=t("../scatter/make_bubble_size_func"),p=t("./helpers"),d=t("./constants"),m=t("../../constants/interactions").DESELECTDIM,g={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},v=t("../../components/fx/helpers").appendArrayPointValue;function y(t,e){var r,i=t._fullLayout,a=e._length,o=e.textfont,l=e.textposition,c=Array.isArray(l)?l:[l],u=o.color,f=o.size,h=o.family,p={},d=t._context.plotGlPixelRatio,m=e.texttemplate;if(m){p.text=[];var g=i._d3locale,y=Array.isArray(m),x=y?Math.min(m.length,a):a,b=y?function(t){return m[t]}:function(){return m};for(r=0;r<x;r++){var _={i:r},w=e._module.formatLabels(_,e,i),T={};v(T,e,r);var k=e._meta||{};p.text.push(s.texttemplateString(b(r),w,g,T,_,k))}}else Array.isArray(e.text)&&e.text.length<a?p.text=e.text.slice():p.text=e.text;if(Array.isArray(p.text))for(r=p.text.length;r<a;r++)p.text[r]="";for(p.opacity=e.opacity,p.font={},p.align=[],p.baseline=[],r=0;r<c.length;r++){var A=c[r].split(/\s+/);switch(A[1]){case"left":p.align.push("right");break;case"right":p.align.push("left");break;default:p.align.push(A[1])}switch(A[0]){case"top":p.baseline.push("bottom");break;case"bottom":p.baseline.push("top");break;default:p.baseline.push(A[0])}}if(Array.isArray(u))for(p.color=new Array(a),r=0;r<a;r++)p.color[r]=u[r];else p.color=u;if(s.isArrayOrTypedArray(f)||Array.isArray(h))for(p.font=new Array(a),r=0;r<a;r++){var M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else r?(o.color=a(i.color,"uint8"),o.color[3]=0,o.borderColor=a(i.color,"uint8")):(o.color=a(i.color,"uint8"),o.borderColor=a(i.line.color,"uint8")),o.opacity=t.opacity*i.opacity;if(l)for(o.markers=new Array(n),e=0;e<n;e++)o.markers[e]=E(i.symbol[e]);else o.marker=E(i.symbol);var w,T=h(t,1);if(m||g){var k,A=o.sizes=new Array(n),M=o.borderSizes=new Array(n),S=0;if(m){for(e=0;e<n;e++)A[e]=T(i.size[e]),S+=A[e];k=S/n}else for(w=T(i.size),e=0;e<n;e++)A[e]=w;if(g)for(e=0;e<n;e++)M[e]=i.line.width[e];else for(w=i.line.width,e=0;e<n;e++)M[e]=w;o.sizeAvg=k}else o.size=T(i&&i.size||10),o.borderSizes=T(i.line.width);return o}function b(t,e){var r=t.marker,n={};return e?(e.marker&&e.marker.symbol?n=x(s.extendFlat({},r,e.marker)):e.marker&&(e.marker.size&&(n.size=e.marker.size),e.marker.color&&(n.colors=e.marker.color),void 0!==e.marker.opacity&&(n.opacity=e.marker.opacity)),n):n}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if("circle"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{"../../components/drawing":383,"../../components/fx/helpers":397,"../../constants/interactions":473,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/cartesian/axis_ids":553,"../../registry":633,"../scatter/make_bubble_size_func":939,"../scatter/subtypes":947,"./constants":977,"./helpers":982,"color-normalize":84,"fast-isnumeric":185,"svg-path-sdf":305}],979:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/period_defaults"),f=t("../scatter/marker_defaults"),h=t("../scatter/line_defaults"),p=t("../scatter/fillcolor_defaults"),d=t("../scatter/text_defaults");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g("xhoverformat"),g("yhoverformat");var b=x<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",b),l.hasLines(e)&&(g("connectgaps"),h(t,e,r,m,g),g("line.shape")),l.hasMarkers(e)&&(f(t,e,r,m,g),g("marker.line.width",v||y?1:0)),l.hasText(e)&&(g("texttemplate"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g("fill"),"none"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod("errorbars","supplyDefaults");T(t,e,_||w||r,{axis:"y"}),T(t,e,_||w||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{"../../lib":498,"../../registry":633,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/period_defaults":942,"../scatter/subtypes":947,"../scatter/text_defaults":948,"../scatter/xy_defaults":949,"./attributes":974,"./helpers":982}],980:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{"../../components/color":361,"../../constants/interactions":473,"../../lib":498}],981:[function(t,e,r){"use strict";var n=t("../scatter/format_labels");e.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},{"../scatter/format_labels":931}],982:[function(t,e,r){"use strict";var n=t("./constants");r.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},{"./constants":977}],983:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&"none"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod("errorbars","hoverInfo")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i="x"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if("x"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{"../../lib":498,"../../registry":633,"../scatter/get_trace_color":932}],984:[function(t,e,r){arguments[4][891][0].apply(r,arguments)},{"./base_index":975,"./plot":985,dup:891}],985:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../components/dragelement/helpers").selectMode,c=t("../../lib/prepare_regl"),u=t("../scatter/subtypes"),f=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var m,g,v=t._fullLayout,y=e._scene,x=e.xaxis,b=e.yaxis;if(y)if(c(t,["ANGLE_instanced_arrays","OES_element_index_uint"],p)){var _=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if("tozerox"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if("toself"===s.fill||"tonext"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[e+1];if(g){var v=g.positions;if("tonexty"===s.fill){for(p=d.slice(),e=Math.floor(v.length/2);e--;){var x=v[2*e],b=v[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&"tonext"===s._prevtrace.fill){var _=y.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),y.fill2d.update(y.fillOptions))}var M=v.dragmode,S=l(M),E=v.clickmode.indexOf("select")>-1;for(m=0;m<_;m++){var L=r[m][0],C=L.trace,P=L.t,I=P.index,O=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{"../../components/dragelement/helpers":379,"../../lib":498,"../../lib/prepare_regl":511,"../scatter/link_traces":938,"../scatter/subtypes":947,"./edit_style":980,"gl-text":220,"regl-error2d":274,"regl-line2d":275,"regl-scatter2d":276}],986:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{"../../lib":498}],987:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),i=t("./edit_style").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{"../scatter/subtypes":947,"./edit_style":980}],988:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scattergeo/attributes"),o=t("../scatter/attributes"),s=t("../../plots/mapbox/layout_attributes"),l=t("../../plots/attributes"),c=t("../../components/colorscale/attributes"),u=t("../../lib/extend").extendFlat,f=t("../../plot_api/edit_types").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:"markers"}),text:u({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/mapbox/layout_attributes":610,"../../plots/template_attributes":628,"../scatter/attributes":922,"../scattergeo/attributes":964}],989:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM,o=t("../../lib/geojson_utils"),s=t("../../components/colorscale"),l=t("../../components/drawing"),c=t("../scatter/make_bubble_size_func"),u=t("../scatter/subtypes"),f=t("../../plots/mapbox/convert_text_opts"),h=t("../../components/fx/helpers").appendArrayPointValue,p=t("../../lib/svg_text_utils").NEWLINES,d=t("../../lib/svg_text_utils").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:"none"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return""}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b="none"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&"circle"===a.marker.symbol,A=w&&"circle"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility="visible",i.extendFlat(M.paint,{"fill-color":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility="visible",i.extendFlat(S.paint,{"line-width":a.line.width,"line-color":a.line.color,"line-opacity":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,"marker")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:"Feature",geometry:{type:"Point",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:"FeatureCollection",features:x},mcc:p||v&&v.selectedColorFn?{type:"identity",property:"mcc"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:"identity",property:"mrc"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:"identity",property:"mo"}:g(f.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility="visible",i.extendFlat(E.paint,{"circle-color":P.mcc,"circle-radius":P.mrc,"circle-opacity":P.mo})}if((A||T)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l="circle"!==o?g(o):v,c="auto"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||"":w,k=n._module.formatLabels(b,n,r),A={};h(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(x);_&&(_=_.replace(p,"").replace(d,"\n")),m.push({type:"Feature",geometry:{type:"Point",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:"FeatureCollection",features:m}}(e,t),i.extendFlat(L.layout,{visibility:"visible","icon-image":"{symbol}-15","text-field":"{text}"}),A&&(i.extendFlat(L.layout,{"icon-size":a.marker.size/10}),"angle"in a.marker&&"auto"!==a.marker.angle&&i.extendFlat(L.layout,{"icon-rotate":{type:"identity",property:"angle"},"icon-rotation-alignment":"map"}),L.layout["icon-allow-overlap"]=a.marker.allowoverlap,i.extendFlat(L.paint,{"icon-opacity":a.opacity*a.marker.opacity,"icon-color":a.marker.color})),T)){var I=(a.marker||{}).size,O=f(a.textposition,I);i.extendFlat(L.layout,{"text-size":a.textfont.size,"text-anchor":O.anchor,"text-offset":O.offset}),i.extendFlat(L.paint,{"text-color":a.textfont.color,"text-opacity":a.opacity})}return C}},{"../../components/colorscale":373,"../../components/drawing":383,"../../components/fx/helpers":397,"../../constants/numerical":474,"../../lib":498,"../../lib/geojson_utils":492,"../../lib/svg_text_utils":524,"../../plots/mapbox/convert_text_opts":607,"../scatter/make_bubble_size_func":939,"../scatter/subtypes":947,"fast-isnumeric":185}],990:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}if(function(t,e,r){var n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f)){if(f("text"),f("texttemplate"),f("hovertext"),f("hovertemplate"),f("mode"),f("below"),i.hasLines(e)&&(o(t,e,r,u,f,{noDash:!0}),f("connectgaps")),i.hasMarkers(e)){a(t,e,r,u,f,{noLine:!0}),f("marker.allowoverlap"),f("marker.angle");var h=e.marker;"circle"!==h.symbol&&(n.isArrayOrTypedArray(h.size)&&(h.size=h.size[0]),n.isArrayOrTypedArray(h.color)&&(h.color=h.color[0]))}i.hasText(e)&&s(t,e,u,f,{noSelect:!0}),f("fill"),"none"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},{"../../lib":498,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":988}],991:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],992:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{"../../plots/cartesian/axes":549}],993:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../scatter/get_trace_color"),o=i.fillText,s=t("../../constants/numerical").BADNUM;function l(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split("+"),i=-1!==n.indexOf("all"),a=-1!==n.indexOf("lon"),s=-1!==n.indexOf("lat"),l=e.lonlat,c=[];return i||a&&s?c.push("("+u(l[1])+", "+u(l[0])+")"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf("text"))&&o(e,t,c),c.join("<br>")}function u(t){return t+"\xb0"}}e.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=h.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-f.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var m=o[t.index],g=m.lonlat,v=[i.modHalf(g[0],360)+p,g[1]],y=u.c2p(v),x=f.c2p(v),b=m.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:h};var w=c._module.formatLabels(m,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=a(c,m),t.extraText=l(c,m,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:l}},{"../../components/fx":401,"../../constants/numerical":474,"../../lib":498,"../scatter/get_trace_color":932}],994:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("../scattergeo/calc"),plot:t("./plot"),hoverPoints:t("./hover").hoverPoints,eventData:t("./event_data"),selectPoints:t("./select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:"trace",name:"scattermapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/mapbox":608,"../scatter/marker_colorbar":940,"../scattergeo/calc":965,"./attributes":988,"./defaults":990,"./event_data":991,"./format_labels":992,"./hover":993,"./plot":995,"./select":996}],995:[function(t,e,r){"use strict";var n=t("./convert"),i=t("../../plots/mapbox/constants").traceLayerPrefix,a=["fill","line","circle","symbol"];function o(t,e){this.type="scattermapbox",this.subplot=t,this.uid=e,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol"},this.layerIds={fill:i+e+"-fill",line:i+e+"-line",circle:i+e+"-circle",symbol:i+e+"-symbol"},this.below=null}var s=o.prototype;s.addSource=function(t,e){this.subplot.map.addSource(this.sourceIds[t],{type:"geojson",data:e.geojson})},s.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},s.addLayer=function(t,e,r){this.subplot.addLayer({type:t,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint},r)},s.update=function(t){var e,r,i,o=this.subplot,s=o.map,l=n(o.gd,t),c=o.belowLookup["trace-"+this.uid];if(c!==this.below){for(e=a.length-1;e>=0;e--)r=a[e],s.removeLayer(this.layerIds[r]);for(e=0;e<a.length;e++)i=l[r=a[e]],this.addLayer(r,i,c);this.below=c}for(e=0;e<a.length;e++)i=l[r=a[e]],o.setOptions(this.layerIds[r],"setLayoutProperty",i.layout),"visible"===i.layout.visibility&&(this.setSourceData(r,i),o.setOptions(this.layerIds[r],"setPaintProperty",i.paint));t[0].trace._glTrace=this},s.dispose=function(){for(var t=this.subplot.map,e=a.length-1;e>=0;e--){var r=a[e];t.removeLayer(this.layerIds[r]),t.removeSource(this.sourceIds[r])}},e.exports=function(t,e){for(var r=e[0].trace,i=new o(t,r.uid),s=n(t.gd,e),l=i.below=t.belowLookup["trace-"+r.uid],c=0;c<a.length;c++){var u=a[c],f=s[u];i.addSource(u,f),i.addLayer(u,f,l)}return e[0].trace._glTrace=i,i}},{"../../plots/mapbox/constants":606,"./convert":989}],996:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e){var r,o=t.cd,s=t.xaxis,l=t.yaxis,c=[],u=o[0].trace;if(!i.hasMarkers(u))return[];if(!1===e)for(r=0;r<o.length;r++)o[r].selected=0;else for(r=0;r<o.length;r++){var f=o[r],h=f.lonlat;if(h[0]!==a){var p=[n.modHalf(h[0],360),h[1]],d=[s.c2p(p),l.c2p(p)];e.contains(d,null,r,t)?(c.push({pointNumber:r,lon:h[0],lat:h[1]}),f.selected=1):f.selected=0}}return c}},{"../../constants/numerical":474,"../../lib":498,"../scatter/subtypes":947}],997:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../lib/extend").extendFlat,o=t("../scatter/attributes"),s=t("../../plots/attributes"),l=o.line;e.exports={mode:o.mode,r:{valType:"data_array",editType:"calc+clearAxisTypes"},theta:{valType:"data_array",editType:"calc+clearAxisTypes"},r0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dr:{valType:"number",dflt:1,editType:"calc"},theta0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dtheta:{valType:"number",editType:"calc"},thetaunit:{valType:"enumerated",values:["radians","degrees","gradians"],dflt:"degrees",editType:"calc+clearAxisTypes"},text:o.text,texttemplate:i({editType:"plot"},{keys:["r","theta","text"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:["linear","spline"]}),smoothing:l.smoothing,editType:"calc"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:["r","theta","text","name"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scatter/attributes":922}],998:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../../plots/cartesian/axes"),o=t("../scatter/colorscale_calc"),s=t("../scatter/arrays_to_calcdata"),l=t("../scatter/calc_selection"),c=t("../scatter/calc").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,u=e.subplot,f=r[u].radialaxis,h=r[u].angularaxis,p=f.makeCalcdata(e,"r"),d=h.makeCalcdata(e,"theta"),m=e._length,g=new Array(m),v=0;v<m;v++){var y=p[v],x=d[v],b=g[v]={};n(y)&&n(x)?(b.r=y,b.theta=x):b.r=i}var _=c(e,m);return e._extremes.x=a.findExtremes(f,p,{ppad:_}),o(t,e),s(g,e),l(g,e),g}},{"../../constants/numerical":474,"../../plots/cartesian/axes":549,"../scatter/arrays_to_calcdata":921,"../scatter/calc":923,"../scatter/calc_selection":924,"../scatter/colorscale_calc":925,"fast-isnumeric":185}],999:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/line_shape_defaults"),l=t("../scatter/text_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../scatter/constants").PTS_LINESONLY,f=t("./attributes");function h(t,e,r,n){var i,a=n("r"),o=n("theta");if(a)o?i=Math.min(a.length,o.length):(i=a.length,n("theta0"),n("dtheta"));else{if(!o)return 0;i=e.theta.length,n("r0"),n("dr")}return e._length=i,i}e.exports={handleRThetaDefaults:h,supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,f,r,i)}var m=h(t,e,p,d);if(m){d("thetaunit"),d("mode",m<u?"lines+markers":"lines"),d("text"),d("hovertext"),"fills"!==e.hoveron&&d("hovertemplate"),i.hasLines(e)&&(o(t,e,r,p,d),s(t,e,d),d("connectgaps")),i.hasMarkers(e)&&a(t,e,r,p,d,{gradient:!0}),i.hasText(e)&&(d("texttemplate"),l(t,e,p,d));var g=[];(i.hasMarkers(e)||i.hasText(e))&&(d("cliponaxis"),d("marker.maxdisplayed"),g.push("points")),d("fill"),"none"!==e.fill&&(c(t,e,r,d),i.hasLines(e)||s(t,e,d)),"tonext"!==e.fill&&"toself"!==e.fill||g.push("fills"),d("hoveron",g.join("+")||"points"),n.coerceSelectionMarkerOpacity(e,d)}else e.visible=!1}}},{"../../lib":498,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/line_shape_defaults":937,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":997}],1e3:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var a,o,s={},l=r[e.subplot]._subplot;l?(a=l.radialAxis,o=l.angularAxis):(a=(l=r[e.subplot]).radialaxis,o=l.angularaxis);var c=a.c2l(t.r);s.rLabel=i.tickText(a,c,!0).text;var u="degrees"===o.thetaunit?n.rad2deg(t.theta):t.theta;return s.thetaLabel=i.tickText(o,u,!0).text,s}},{"../../lib":498,"../../plots/cartesian/axes":549}],1001:[function(t,e,r){"use strict";var n=t("../scatter/hover");function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle="r",a._hovertitle="\u03b8";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.rLabel=s.rLabel,n.thetaLabel=s.thetaLabel;var l=t.hi||e.hoverinfo,c=[];function u(t,e){c.push(t._hovertitle+": "+e)}if(!e.hovertemplate){var f=l.split("+");-1!==f.indexOf("all")&&(f=["r","theta","text"]),-1!==f.indexOf("r")&&u(i,n.rLabel),-1!==f.indexOf("theta")&&u(a,n.thetaLabel),-1!==f.indexOf("text")&&n.text&&(c.push(n.text),delete n.text),n.extraText=c.join("<br>")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{"../scatter/hover":933}],1002:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"scatterpolar",basePlotModule:t("../../plots/polar"),categories:["polar","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,selectPoints:t("../scatter/select"),meta:{}}},{"../../plots/polar":617,"../scatter/marker_colorbar":940,"../scatter/select":944,"../scatter/style":946,"./attributes":997,"./calc":998,"./defaults":999,"./format_labels":1e3,"./hover":1001,"./plot":1003}],1003:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r){for(var a=e.layers.frontplot.select("g.scatterlayer"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c<r.length;c++)for(var u=r[c],f=0;f<u.length;f++){var h=u[f],p=h.r;if(p===i)h.x=h.y=i;else{var d=s.c2g(p),m=l.c2g(h.theta);h.x=d*Math.cos(m),h.y=d*Math.sin(m)}}n(t,o,r,a)}},{"../../constants/numerical":474,"../scatter/plot":943}],1004:[function(t,e,r){"use strict";var n=t("../scatterpolar/attributes"),i=t("../scattergl/attributes"),a=t("../../plots/template_attributes").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:"plot"},{keys:["r","theta","text"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{"../../plots/template_attributes":628,"../scattergl/attributes":974,"../scatterpolar/attributes":997}],1005:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"scatterpolargl",basePlotModule:t("../../plots/polar"),categories:["gl","regl","polar","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("../scattergl/select"),meta:{}}},{"../../plots/polar":617,"../scatter/marker_colorbar":940,"../scattergl/select":987,"./attributes":1004,"./calc":1006,"./defaults":1007,"./format_labels":1008,"./hover":1009}],1006:[function(t,e,r){"use strict";var n=t("../scatter/colorscale_calc"),i=t("../scatter/calc").calcMarkerSize,a=t("../scattergl/convert"),o=t("../../plots/cartesian/axes"),s=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e){var r=t._fullLayout,l=e.subplot,c=r[l].radialaxis,u=r[l].angularaxis,f=e._r=c.makeCalcdata(e,"r"),h=e._theta=u.makeCalcdata(e,"theta"),p=e._length,d={};p<f.length&&(f=f.slice(0,p)),p<h.length&&(h=h.slice(0,p)),d.r=f,d.theta=h,n(t,e);var m,g=d.opts=a.style(t,e);return p<s?m=i(e,p):g.marker&&(m=2*(g.marker.sizeAvg||Math.max(g.marker.size,3))),e._extremes.x=o.findExtremes(c,f,{ppad:m}),[{x:!1,y:!1,t:d,trace:e}]}},{"../../plots/cartesian/axes":549,"../scatter/calc":923,"../scatter/colorscale_calc":925,"../scattergl/constants":977,"../scattergl/convert":978}],1007:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatterpolar/defaults").handleRThetaDefaults,o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../scatter/constants").PTS_LINESONLY,f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}var d=a(t,e,h,p);d?(p("thetaunit"),p("mode",d<u?"lines+markers":"lines"),p("text"),p("hovertext"),"fills"!==e.hoveron&&p("hovertemplate"),i.hasLines(e)&&(s(t,e,r,h,p),p("connectgaps")),i.hasMarkers(e)&&o(t,e,r,h,p),i.hasText(e)&&(p("texttemplate"),l(t,e,h,p)),p("fill"),"none"!==e.fill&&c(t,e,r,p),n.coerceSelectionMarkerOpacity(e,p)):e.visible=!1}},{"../../lib":498,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"../scatterpolar/defaults":999,"./attributes":1004}],1008:[function(t,e,r){"use strict";var n=t("../scatterpolar/format_labels");e.exports=function(t,e,r){var i=t.i;return"r"in t||(t.r=e._r[i]),"theta"in t||(t.theta=e._theta[i]),n(t,e,r)}},{"../scatterpolar/format_labels":1e3}],1009:[function(t,e,r){"use strict";var n=t("../scattergl/hover"),i=t("../scatterpolar/hover").makeHoverPointText;e.exports={hoverPoints:function(t,e,r,a){var o=t.cd[0].t,s=o.r,l=o.theta,c=n.hoverPoints(t,e,r,a);if(c&&!1!==c[0].index){var u=c[0];if(void 0===u.index)return c;var f=t.subplot,h=u.cd[u.index],p=u.trace;if(h.r=s[u.index],h.theta=l[u.index],f.isPtInside(h))return u.xLabelVal=void 0,u.yLabelVal=void 0,i(h,p,f,u),c}}}},{"../scattergl/hover":983,"../scatterpolar/hover":1001}],1010:[function(t,e,r){arguments[4][891][0].apply(r,arguments)},{"./base_index":1005,"./plot":1011,dup:891}],1011:[function(t,e,r){"use strict";var n=t("@plotly/point-cluster"),i=t("fast-isnumeric"),a=t("../scattergl/plot"),o=t("../scattergl/scene_update"),s=t("../scattergl/convert"),l=t("../../lib"),c=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e,r){if(r.length){var u=e.radialAxis,f=e.angularAxis,h=o(t,e);return r.forEach((function(r){if(r&&r[0]&&r[0].trace){var a,o=r[0],p=o.trace,d=o.t,m=p._length,g=d.r,v=d.theta,y=d.opts,x=g.slice(),b=v.slice();for(a=0;a<g.length;a++)e.isPtInside({r:g[a],theta:v[a]})||(x[a]=NaN,b[a]=NaN);var _=new Array(2*m),w=Array(m),T=Array(m);for(a=0;a<m;a++){var k,A,M=x[a];if(i(M)){var S=u.c2g(M),E=f.c2g(b[a],p.thetaunit);k=S*Math.cos(E),A=S*Math.sin(E)}else k=A=NaN;w[a]=_[2*a]=k,T[a]=_[2*a+1]=A}d.tree=n(_),y.marker&&m>=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=g,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}},e.exports.reglPrecompiled={}},{"../../lib":498,"../scattergl/constants":977,"../scattergl/convert":978,"../scattergl/plot":985,"../scattergl/scene_update":986,"@plotly/point-cluster":59,"fast-isnumeric":185}],1012:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../lib/extend").extendFlat,o=t("../scatter/attributes"),s=t("../../plots/attributes"),l=o.line;e.exports={mode:o.mode,real:{valType:"data_array",editType:"calc+clearAxisTypes"},imag:{valType:"data_array",editType:"calc+clearAxisTypes"},text:o.text,texttemplate:i({editType:"plot"},{keys:["real","imag","text"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:["linear","spline"]}),smoothing:l.smoothing,editType:"calc"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:["real","imag","text","name"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scatter/attributes":922}],1013:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../scatter/colorscale_calc"),o=t("../scatter/arrays_to_calcdata"),s=t("../scatter/calc_selection"),l=t("../scatter/calc").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,"real"),p=f.makeCalcdata(e,"imag"),d=e._length,m=new Array(d),g=0;g<d;g++){var v=h[g],y=p[g],x=m[g]={};n(v)&&n(y)?(x.real=v,x.imag=y):x.real=i}return l(e,d),a(t,e),o(m,e),s(m,e),m}},{"../../constants/numerical":474,"../scatter/arrays_to_calcdata":921,"../scatter/calc":923,"../scatter/calc_selection":924,"../scatter/colorscale_calc":925,"fast-isnumeric":185}],1014:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/line_shape_defaults"),l=t("../scatter/text_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../scatter/constants").PTS_LINESONLY,f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}var d=function(t,e,r,n){var i,a=n("real"),o=n("imag");a&&o&&(i=Math.min(a.length,o.length));return e._length=i,i}(0,e,0,p);if(d){p("mode",d<u?"lines+markers":"lines"),p("text"),p("hovertext"),"fills"!==e.hoveron&&p("hovertemplate"),i.hasLines(e)&&(o(t,e,r,h,p),s(t,e,p),p("connectgaps")),i.hasMarkers(e)&&a(t,e,r,h,p,{gradient:!0}),i.hasText(e)&&(p("texttemplate"),l(t,e,h,p));var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p("cliponaxis"),p("marker.maxdisplayed"),m.push("points")),p("fill"),"none"!==e.fill&&(c(t,e,r,p),i.hasLines(e)||s(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||m.push("fills"),p("hoveron",m.join("+")||"points"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{"../../lib":498,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/line_shape_defaults":937,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":1012}],1015:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot;return i.realLabel=n.tickText(a.radialAxis,t.real,!0).text,i.imagLabel=n.tickText(a.angularAxis,t.imag,!0).text,i}},{"../../plots/cartesian/axes":549}],1016:[function(t,e,r){"use strict";var n=t("../scatter/hover");function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle="real",a._hovertitle="imag";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.realLabel=s.realLabel,n.imagLabel=s.imagLabel;var l=t.hi||e.hoverinfo,c=[];function u(t,e){c.push(t._hovertitle+": "+e)}if(!e.hovertemplate){var f=l.split("+");-1!==f.indexOf("all")&&(f=["real","imag","text"]),-1!==f.indexOf("real")&&u(i,n.realLabel),-1!==f.indexOf("imag")&&u(a,n.imagLabel),-1!==f.indexOf("text")&&n.text&&(c.push(n.text),delete n.text),n.extraText=c.join("<br>")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{"../scatter/hover":933}],1017:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"scattersmith",basePlotModule:t("../../plots/smith"),categories:["smith","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,selectPoints:t("../scatter/select"),meta:{}}},{"../../plots/smith":624,"../scatter/marker_colorbar":940,"../scatter/select":944,"../scatter/style":946,"./attributes":1012,"./calc":1013,"./defaults":1014,"./format_labels":1015,"./hover":1016,"./plot":1018}],1018:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../constants/numerical").BADNUM,a=t("../../plots/smith/helpers").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select("g.scatterlayer"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l<r.length;l++)for(var c=r[l],u=0;u<c.length;u++){var f=c[u],h=f.real;if(h===i)f.x=f.y=i;else{var p=a([h,f.imag]);f.x=p[0],f.y=p[1]}}n(t,s,r,o)}},{"../../constants/numerical":474,"../../plots/smith/helpers":623,"../scatter/plot":943}],1019:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=a.marker,f=a.line,h=u.line;e.exports={a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},c:{valType:"data_array",editType:"calc"},sum:{valType:"number",dflt:0,min:0,editType:"calc"},mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),texttemplate:i({editType:"plot"},{keys:["a","b","c","text"]}),hovertext:c({},a.hovertext,{}),line:{color:f.color,width:f.width,dash:l,shape:c({},f.shape,{values:["linear","spline"]}),smoothing:f.smoothing,editType:"calc"},connectgaps:a.connectgaps,cliponaxis:a.cliponaxis,fill:c({},a.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:a.fillcolor,marker:c({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:c({width:h.width,editType:"calc"},s("marker.line")),gradient:u.gradient,editType:"calc"},s("marker")),textfont:a.textfont,textposition:a.textposition,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:["a","b","c","text","name"]}),hoveron:a.hoveron,hovertemplate:n()}},{"../../components/colorscale/attributes":368,"../../components/drawing/attributes":382,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/template_attributes":628,"../scatter/attributes":922}],1020:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../scatter/colorscale_calc"),a=t("../scatter/arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../scatter/calc").calcMarkerSize,l=["a","b","c"],c={a:["b","c"],b:["a","c"],c:["a","b"]};e.exports=function(t,e){var r,u,f,h,p,d,m=t._fullLayout[e.subplot].sum,g=e.sum||m,v={a:e.a,b:e.b,c:e.c};for(r=0;r<l.length;r++)if(!v[f=l[r]]){for(p=v[c[f][0]],d=v[c[f][1]],h=new Array(p.length),u=0;u<p.length;u++)h[u]=g-p[u]-d[u];v[f]=h}var y,x,b,_,w,T,k=e._length,A=new Array(k);for(r=0;r<k;r++)y=v.a[r],x=v.b[r],b=v.c[r],n(y)&&n(x)&&n(b)?(1!==(_=m/((y=+y)+(x=+x)+(b=+b)))&&(y*=_,x*=_,b*=_),T=y,w=b-x,A[r]={x:w,y:T,a:y,b:x,c:b}):A[r]={x:!1,y:!1};return s(e,k),i(t,e),a(A,e),o(A,e),A}},{"../scatter/arrays_to_calcdata":921,"../scatter/calc":923,"../scatter/calc_selection":924,"../scatter/colorscale_calc":925,"fast-isnumeric":185}],1021:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),f=t("./attributes");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}var d,m=p("a"),g=p("b"),v=p("c");if(m?(d=m.length,g?(d=Math.min(d,g.length),v&&(d=Math.min(d,v.length))):d=v?Math.min(d,v.length):0):g&&v&&(d=Math.min(g.length,v.length)),d){e._length=d,p("sum"),p("text"),p("hovertext"),"fills"!==e.hoveron&&p("hovertemplate"),p("mode",d<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&(p("texttemplate"),c(t,e,h,p));var y=[];(a.hasMarkers(e)||a.hasText(e))&&(p("cliponaxis"),p("marker.maxdisplayed"),y.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||y.push("fills"),p("hoveron",y.join("+")||"points"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{"../../lib":498,"../scatter/constants":926,"../scatter/fillcolor_defaults":930,"../scatter/line_defaults":935,"../scatter/line_shape_defaults":937,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scatter/text_defaults":948,"./attributes":1019}],1022:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){if(e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),n[i]){var a=n[i];t.a=a.a,t.b=a.b,t.c=a.c}else t.a=e.a,t.b=e.b,t.c=e.c;return t}},{}],1023:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot;return i.aLabel=n.tickText(a.aaxis,t.a,!0).text,i.bLabel=n.tickText(a.baxis,t.b,!0).text,i.cLabel=n.tickText(a.caxis,t.c,!0).text,i}},{"../../plots/cartesian/axes":549}],1024:[function(t,e,r){"use strict";var n=t("../scatter/hover");e.exports=function(t,e,r,i){var a=n(t,e,r,i);if(a&&!1!==a[0].index){var o=a[0];if(void 0===o.index){var s=1-o.y0/t.ya._length,l=t.xa._length,c=l*s/2,u=l-c;return o.x0=Math.max(Math.min(o.x0,u),c),o.x1=Math.max(Math.min(o.x1,u),c),a}var f=o.cd[o.index],h=o.trace,p=o.subplot;o.a=f.a,o.b=f.b,o.c=f.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var d={};d[h.subplot]={_subplot:p};var m=h._module.formatLabels(f,h,d);o.aLabel=m.aLabel,o.bLabel=m.bLabel,o.cLabel=m.cLabel;var g=f.hi||h.hoverinfo,v=[];if(!h.hovertemplate){var y=g.split("+");-1!==y.indexOf("all")&&(y=["a","b","c"]),-1!==y.indexOf("a")&&x(p.aaxis,o.aLabel),-1!==y.indexOf("b")&&x(p.baxis,o.bLabel),-1!==y.indexOf("c")&&x(p.caxis,o.cLabel)}return o.extraText=v.join("<br>"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+": "+e)}}},{"../scatter/hover":933}],1025:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../scatter/select"),eventData:t("./event_data"),moduleType:"trace",name:"scatterternary",basePlotModule:t("../../plots/ternary"),categories:["ternary","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/ternary":629,"../scatter/marker_colorbar":940,"../scatter/select":944,"../scatter/style":946,"./attributes":1019,"./calc":1020,"./defaults":1021,"./event_data":1022,"./format_labels":1023,"./hover":1024,"./plot":1026}],1026:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e,r){var i=e.plotContainer;i.select(".scatterlayer").selectAll("*").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select("g.scatterlayer");n(t,a,r,o)}},{"../scatter/plot":943}],1027:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../scattergl/attributes"),l=t("../../plots/cartesian/constants").idRegex,c=t("../../plot_api/plot_template").templatedArray,u=t("../../lib/extend").extendFlat,f=n.marker,h=f.line,p=u(i("marker.line",{editTypeOverride:"calc"}),{width:u({},h.width,{editType:"calc"}),editType:"calc"}),d=u(i("marker"),{symbol:f.symbol,size:u({},f.size,{editType:"markerSize"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:"calc"});function m(t){return{valType:"info_array",freeLength:!0,editType:"calc",items:{valType:"subplotid",regex:l[t],editType:"plot"}}}d.color.editType=d.cmin.editType=d.cmax.editType="style",e.exports={dimensions:c("dimension",{visible:{valType:"boolean",dflt:!0,editType:"calc"},label:{valType:"string",editType:"calc"},values:{valType:"data_array",editType:"calc+clearAxisTypes"},axis:{type:{valType:"enumerated",values:["linear","log","date","category"],editType:"calc+clearAxisTypes"},matches:{valType:"boolean",dflt:!1,editType:"calc"},editType:"calc+clearAxisTypes"},editType:"calc+clearAxisTypes"}),text:u({},s.text,{}),hovertext:u({},s.hovertext,{}),hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),marker:d,xaxes:m("x"),yaxes:m("y"),diagonal:{visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},showupperhalf:{valType:"boolean",dflt:!0,editType:"calc"},showlowerhalf:{valType:"boolean",dflt:!0,editType:"calc"},selected:{marker:s.selected.marker,editType:"calc"},unselected:{marker:s.unselected.marker,editType:"calc"},opacity:s.opacity}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/plot_template":538,"../../plots/cartesian/axis_format_attributes":552,"../../plots/cartesian/constants":556,"../../plots/template_attributes":628,"../scatter/attributes":922,"../scattergl/attributes":974}],1028:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../components/grid");e.exports={moduleType:"trace",name:"splom",categories:["gl","regl","cartesian","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select"),editStyle:t("./edit_style"),meta:{}},n.register(i)},{"../../components/grid":405,"../../registry":633,"../scatter/marker_colorbar":940,"./attributes":1027,"./calc":1030,"./defaults":1031,"./edit_style":1032,"./hover":1034,"./plot":1036,"./select":1038}],1029:[function(t,e,r){"use strict";var n=t("regl-line2d"),i=t("../../registry"),a=t("../../lib/prepare_regl"),o=t("../../plots/get_data").getModuleCalcData,s=t("../../plots/cartesian"),l=t("../../plots/cartesian/axis_ids").getFromId,c=t("../../plots/cartesian/axes").shouldShowZeroLine,u={};function f(t,e,r){for(var n=r.matrixOptions.data.length,i=e._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],c=a[o]=new Array(4),u=l(t,e._diag[s][0]);u&&(c[0]=u.r2l(u.range[0]),c[2]=u.r2l(u.range[1]));var f=l(t,e._diag[s][1]);f&&(c[1]=f.r2l(f.range[0]),c[3]=f.r2l(f.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function h(t){var e=t._fullLayout,r=e._glcanvas.data()[0].regl,i=e._splomGrid;i||(i=e._splomGrid=n(r)),i.update(function(t){var e,r=t._context.plotGlPixelRatio,n=t._fullLayout,i=n._size,a=[0,0,n.width*r,n.height*r],o={};function s(t,e,n,i,s,l){n*=r,i*=r,s*=r,l*=r;var c=e[t+"color"],u=e[t+"width"],f=String(c+u);f in o?o[f].data.push(NaN,NaN,n,i,s,l):o[f]={data:[n,i,s,l],join:"rect",thickness:u*r,color:c,viewport:a,range:a,overlay:!1}}for(e in n._splomSubplots){var l,u,f=n._plots[e],h=f.xaxis,p=f.yaxis,d=h._gridVals,m=p._gridVals,g=h._offset,v=h._length,y=p._length,x=i.b+p.domain[0]*i.h,b=-p._m,_=-b*p.r2l(p.range[0],p.calendar);if(h.showgrid)for(e=0;e<d.length;e++)l=g+h.l2p(d[e].x),s("grid",h,l,x,l,x+y);if(p.showgrid)for(e=0;e<m.length;e++)u=x+_+b*m[e].x,s("grid",p,g,u,g+v,u);c(t,h,p)&&(l=g+h.l2p(0),s("zeroline",h,l,x,l,x+y)),c(t,p,h)&&s("zeroline",p,g,u=x+_+0,g+v,u)}var w=[];for(e in o)w.push(o[e]);return w}(t))}e.exports={name:"splom",attr:s.attr,attrRegex:s.attrRegex,layoutAttributes:s.layoutAttributes,supplyLayoutDefaults:s.supplyLayoutDefaults,drawFramework:s.drawFramework,plot:function(t){var e=t._fullLayout,r=i.getModule("splom"),n=o(t.calcdata,r)[0];a(t,["ANGLE_instanced_arrays","OES_element_index_uint"],u)&&(e._hasOnlyLargeSploms&&h(t),r.plot(t,{},n))},drag:function(t){var e=t.calcdata,r=t._fullLayout;r._hasOnlyLargeSploms&&h(t);for(var n=0;n<e.length;n++){var i=e[n][0].trace,a=r._splomScenes[i.uid];"splom"===i.type&&a&&a.matrix&&f(t,i,a)}},updateGrid:h,clean:function(t,e,r,n){var i,a={};if(n._splomScenes){for(i=0;i<t.length;i++){var o=t[i];"splom"===o.type&&(a[o.uid]=1)}for(i=0;i<r.length;i++){var l=r[i];if(!a[l.uid]){var c=n._splomScenes[l.uid];c&&c.destroy&&c.destroy(),n._splomScenes[l.uid]=null,delete n._splomScenes[l.uid]}}}0===Object.keys(n._splomScenes||{}).length&&delete n._splomScenes,n._splomGrid&&!e._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),s.clean(t,e,r,n)},updateFx:s.updateFx,toSVG:s.toSVG,reglPrecompiled:u}},{"../../lib/prepare_regl":511,"../../plots/cartesian":563,"../../plots/cartesian/axes":549,"../../plots/cartesian/axis_ids":553,"../../plots/get_data":588,"../../registry":633,"regl-line2d":275}],1030:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axis_ids"),a=t("../scatter/calc").calcMarkerSize,o=t("../scatter/calc").calcAxisExpansion,s=t("../scatter/colorscale_calc"),l=t("../scattergl/convert").markerSelection,c=t("../scattergl/convert").markerStyle,u=t("./scene_update"),f=t("../../constants/numerical").BADNUM,h=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e){var r,p,d,m,g,v,y=e.dimensions,x=e._length,b={},_=b.cdata=[],w=b.data=[],T=e._visibleDims=[];function k(t,r){for(var i=t.makeCalcdata({v:r.values,vcalendar:e.calendar},"v"),a=0;a<i.length;a++)i[a]=i[a]===f?NaN:i[a];_.push(i),w.push("log"===t.type?n.simpleMap(i,t.c2l):i)}for(r=0;r<y.length;r++)if((d=y[r]).visible){if(m=i.getFromId(t,e._diag[r][0]),g=i.getFromId(t,e._diag[r][1]),m&&g&&m.type!==g.type){n.log("Skipping splom dimension "+r+" with conflicting axis types");continue}m?(k(m,d),g&&"category"===g.type&&(g._categories=m._categories.slice())):k(g,d),T.push(r)}for(s(t,e),n.extendFlat(b,c(e)),v=_.length*x>h?b.sizeAvg||Math.max(b.size,3):a(e,x),p=0;p<T.length;p++)d=y[r=T[p]],m=i.getFromId(t,e._diag[r][0])||{},g=i.getFromId(t,e._diag[r][1])||{},o(t,e,m,g,_[p],_[p],v);var A=u(t,e);return A.matrix||(A.matrix=!0),A.matrixOptions=b,A.selectedOptions=l(e,e.selected),A.unselectedOptions=l(e,e.unselected),[{x:!1,y:!1,t:{},trace:e}]}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/axis_ids":553,"../scatter/calc":923,"../scatter/colorscale_calc":925,"../scattergl/constants":977,"../scattergl/convert":978,"./scene_update":1037}],1031:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/array_container_defaults"),a=t("./attributes"),o=t("../scatter/subtypes"),s=t("../scatter/marker_defaults"),l=t("../parcoords/merge_length"),c=t("../scattergl/helpers").isOpenSymbol;function u(t,e){function r(r,i){return n.coerce(t,e,a.dimensions,r,i)}r("label");var i=r("values");i&&i.length?r("visible"):e.visible=!1,r("axis.type"),r("axis.matches")}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,a,r,i)}var p=i(t,e,{name:"dimensions",handleItemDefaults:u}),d=h("diagonal.visible"),m=h("showupperhalf"),g=h("showlowerhalf");if(l(e,p,"values")&&(d||m||g)){h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),s(t,e,r,f,h);var v=c(e.marker.symbol),y=o.isBubble(e);h("marker.line.width",v||y?1:0),function(t,e,r,n){var i,a,o=e.dimensions,s=o.length,l=e.showupperhalf,c=e.showlowerhalf,u=e.diagonal.visible,f=new Array(s),h=new Array(s);for(i=0;i<s;i++){var p=i?i+1:"";f[i]="x"+p,h[i]="y"+p}var d=n("xaxes",f),m=n("yaxes",h),g=e._diag=new Array(s);e._xaxes={},e._yaxes={};var v=[],y=[];function x(t,n,i,a){if(t){var o=t.charAt(0),s=r._splomAxes[o];if(e["_"+o+"axes"][t]=1,a.push(t),!(t in s)){var l=s[t]={};i&&(l.label=i.label||"",i.visible&&i.axis&&(i.axis.type&&(l.type=i.axis.type),i.axis.matches&&(l.matches=n)))}}}var b=!u&&!c,_=!u&&!l;for(e._axesDim={},i=0;i<s;i++){var w=o[i],T=0===i,k=i===s-1,A=T&&b||k&&_?void 0:d[i],M=T&&_||k&&b?void 0:m[i];x(A,M,w,v),x(M,A,w,y),g[i]=[A,M],e._axesDim[A]=i,e._axesDim[M]=i}for(i=0;i<v.length;i++)for(a=0;a<y.length;a++){var S=v[i]+y[a];i>a&&l||i<a&&c?r._splomSubplots[S]=1:i!==a||!u&&c&&l||(r._splomSubplots[S]=1)}(!c||!u&&l&&c)&&(r._splomGridDflt.xside="bottom",r._splomGridDflt.yside="left")}(0,e,f,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{"../../lib":498,"../../plots/array_container_defaults":544,"../parcoords/merge_length":893,"../scatter/marker_defaults":941,"../scatter/subtypes":947,"../scattergl/helpers":982,"./attributes":1027}],1032:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/colorscale_calc"),a=t("../scattergl/convert").markerStyle;e.exports=function(t,e){var r=e.trace,o=t._fullLayout._splomScenes[r.uid];if(o){i(t,r),n.extendFlat(o.matrixOptions,a(r));var s=n.extendFlat({},o.matrixOptions,o.viewOpts);o.matrix.update(s,null)}}},{"../../lib":498,"../scatter/colorscale_calc":925,"../scattergl/convert":978}],1033:[function(t,e,r){"use strict";r.getDimIndex=function(t,e){for(var r=e._id,n={x:0,y:1}[r.charAt(0)],i=t._visibleDims,a=0;a<i.length;a++){var o=i[a];if(t._diag[o][n]===r)return a}return!1}},{}],1034:[function(t,e,r){"use strict";var n=t("./helpers"),i=t("../scattergl/hover").calcHover;e.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,c=s.c2p(e),u=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,m,g=o[h],v=o[p],y=f,x=0;x<g.length;x++){var b=g[x],_=v[x],w=s.c2p(b)-c,T=l.c2p(_)-u,k=Math.sqrt(w*w+T*T);k<y&&(y=m=k,d=x)}return t.index=d,t.distance=y,t.dxy=m,void 0===d?[t]:[i(t,g,v,a)]}}},{"../scattergl/hover":983,"./helpers":1033}],1035:[function(t,e,r){"use strict";var n=t("./base_index");n.basePlotModule=t("./base_plot"),e.exports=n},{"./base_index":1028,"./base_plot":1029}],1036:[function(t,e,r){"use strict";var n=t("regl-splom"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids"),o=t("../../components/dragelement/helpers").selectMode;function s(t,e){var r,s,l,c,u,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,m=f._splomScenes[p.uid],g=m.matrixOptions,v=g.cdata,y=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==v.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=v.length,w=m.viewOpts={};for(w.ranges=new Array(_),w.domains=new Array(_),u=0;u<b.length;u++){l=b[u];var T=w.ranges[u]=new Array(4),k=w.domains[u]=new Array(4);(r=a.getFromId(t,p._diag[l][0]))&&(T[0]=r._rl[0],T[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(s=a.getFromId(t,p._diag[l][1]))&&(T[1]=s._rl[0],T[3]=s._rl[1],k[1]=s.domain[0],k[3]=s.domain[1])}var A=t._context.plotGlPixelRatio,M=h.l*A,S=h.b*A,E=h.w*A,L=h.h*A;w.viewport=[M,S,E+M,L+S],!0===m.matrix&&(m.matrix=n(y));var C=f.clickmode.indexOf("select")>-1,P=!0;if(o(x)||!!p.selectedpoints||C){var I=p._length;if(p.selectedpoints){m.selectBatch=p.selectedpoints;var O=p.selectedpoints,z={};for(l=0;l<O.length;l++)z[O[l]]=!0;var D=[];for(l=0;l<I;l++)z[l]||D.push(l);m.unselectBatch=D}var R=d.xpx=new Array(_),F=d.ypx=new Array(_);for(u=0;u<b.length;u++){if(l=b[u],r=a.getFromId(t,p._diag[l][0]))for(R[u]=new Array(I),c=0;c<I;c++)R[u][c]=r.c2p(v[u][c]);if(s=a.getFromId(t,p._diag[l][1]))for(F[u]=new Array(I),c=0;c<I;c++)F[u][c]=s.c2p(v[u][c])}if(m.selectBatch.length||m.unselectBatch.length){var B=i.extendFlat({},g,m.unselectedOptions,w),N=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);m.matrix.update(j,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{"../../components/dragelement/helpers":379,"../../lib":498,"../../plots/cartesian/axis_ids":553,"regl-splom":277}],1037:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},{"../../lib":498}],1038:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("./helpers");e.exports=function(t,e){var r=t.cd,o=r[0].trace,s=r[0].t,l=t.scene,c=l.matrixOptions.cdata,u=t.xaxis,f=t.yaxis,h=[];if(!l)return h;var p=!i.hasMarkers(o)&&!i.hasText(o);if(!0!==o.visible||p)return h;var d=a.getDimIndex(o,u),m=a.getDimIndex(o,f);if(!1===d||!1===m)return h;var g=s.xpx[d],v=s.ypx[m],y=c[d],x=c[m],b=[],_=[];if(!1!==e&&!e.degenerate)for(var w=0;w<y.length;w++)e.contains([g[w],v[w]],null,w,t)?(b.push(w),h.push({pointNumber:w,x:y[w],y:x[w]})):_.push(w);var T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,h}},{"../../lib":498,"../scatter/subtypes":947,"./helpers":1033}],1039:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w norm",showScaleDflt:!0,editTypeOverride:"calc"}));["opacity","lightposition","lighting"].forEach((function(t){c[t]=o[t]})),c.hoverinfo=l({},s.hoverinfo,{editType:"calc",flags:["x","y","z","u","v","w","norm","divergence","text","name"],dflt:"x+y+z+norm+text+name"}),c.transforms=void 0,e.exports=c},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../mesh3d/attributes":862}],1040:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/calc");function a(t){var e,r,i,a,s,l,c,u,f,h,p,d,m=t._x,g=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A="";for(y&&(c=m[0],f=g[0],p=v[0]),y>1&&(u=m[y-1],h=g[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,m[e]),b=Math.min(b,m[e]),_=Math.max(_,g[e]),w=Math.min(w,g[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||m[e]===c||(a=!0,A+="x"),s||g[e]===f||(s=!0,A+="y"),l||v[e]===p||(l=!0,A+="z");a||(A+="x"),s||(A+="y"),l||(A+="z");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace("x",(c>u?"-":"+")+"x")).replace("y",(f>h?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return"x"===t?m:"y"===t?g:v},P=function(t){return"x"===t?M:"y"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[q]*U<O[G]*U&&z[q]*V<z[Y]*V&&D[q]*H<D[W]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! Unable to input data grid."),L()),{xMin:b,yMin:w,zMin:k,xMax:x,yMax:_,zMax:T,Xs:M,Ys:S,Zs:E,len:y,fill:A}}function o(t){return n.distinctVals(t).vals}function s(t,e){if(void 0===e&&(e=t.length),n.isTypedArray(t))return t.subarray(0,e);for(var r=[],i=0;i<e;i++)r[i]=+t[i];return r}e.exports={calc:function(t,e){e._len=Math.min(e.u.length,e.v.length,e.w.length,e.x.length,e.y.length,e.z.length),e._u=s(e.u,e._len),e._v=s(e.v,e._len),e._w=s(e.w,e._len),e._x=s(e.x,e._len),e._y=s(e.y,e._len),e._z=s(e.z,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;var n,o,l,c=0;e.starts&&(n=s(e.starts.x||[]),o=s(e.starts.y||[]),l=s(e.starts.z||[]),c=Math.min(n.length,o.length,l.length)),e._startsX=n||[],e._startsY=o||[],e._startsZ=l||[];var u,f=0,h=1/0;for(u=0;u<e._len;u++){var p=e._u[u],d=e._v[u],m=e._w[u],g=Math.sqrt(p*p+d*d+m*m);f=Math.max(f,g),h=Math.min(h,g)}for(i(t,e,{vals:[h,f],containerStr:"",cLetter:"c"}),u=0;u<c;u++){var v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":369,"../../lib":498}],1041:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_streamtube3d,i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[m,g,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=g[0],x=h(m),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(m),L=p(g),C=p(v),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib":498,"../../lib/gl_format_color":494,"../../plots/gl3d/zip3":604}],1042:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":371,"../../lib":498,"./attributes":1039}],1043:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":593,"./attributes":1039,"./calc":1040,"./convert":1041,"./defaults":1042}],1044:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/domain").attributes,l=t("../pie/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:u({colors:{valType:"data_array",editType:"calc"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent parent"],extras:["none"],editType:"plot"},texttemplate:a({editType:"plot"},{keys:c.eventDataKeys.concat(["label","value"])}),hovertext:l.hovertext,hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","name","current path","percent root","percent entry","percent parent"],dflt:"label+text+value+name"}),hovertemplate:i({},{keys:c.eventDataKeys}),textfont:l.textfont,insidetextorientation:l.insidetextorientation,insidetextfont:l.insidetextfont,outsidetextfont:u({},l.outsidetextfont,{}),rotation:{valType:"angle",dflt:0,editType:"plot"},sort:l.sort,root:{color:{valType:"color",editType:"calc",dflt:"rgba(0,0,0,0)"},editType:"calc"},domain:s({name:"sunburst",trace:!0,editType:"calc"})}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/domain":579,"../../plots/template_attributes":628,"../pie/attributes":896,"./constants":1047}],1045:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="sunburst",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":614}],1046:[function(t,e,r){"use strict";var n=t("d3-hierarchy"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../components/colorscale").makeColorScaleFuncFromTrace,s=t("../pie/calc").makePullColorFn,l=t("../pie/calc").generateExtendedColors,c=t("../../components/colorscale").calc,u=t("../../constants/numerical").ALMOST_EQUAL,f={},h={},p={};r.calc=function(t,e){var r,l,f,h,p,d,m=t._fullLayout,g=e.ids,v=a.isArrayOrTypedArray(g),y=e.labels,x=e.parents,b=e.values,_=a.isArrayOrTypedArray(b),w=[],T={},k={},A=function(t){return t||"number"==typeof t},M=function(t){return!_||i(b[t])&&b[t]>=0};v?(r=Math.min(g.length,x.length),l=function(t){return A(g[t])&&M(t)},f=function(t){return String(g[t])}):(r=Math.min(y.length,x.length),l=function(t){return A(y[t])&&M(t)},f=function(t){return String(y[t])}),_&&(r=Math.min(r,b.length));for(var S=0;S<r;S++)if(l(S)){var E=f(S),L=A(x[S])?String(x[S]):"",C={i:S,id:E,pid:L,label:A(y[S])?String(y[S]):""};_&&(C.v=+b[S]),w.push(C),p=E,T[h=L]?T[h].push(p):T[h]=[p],k[p]=1}if(T[""]){if(T[""].length>1){for(var P=a.randstr(),I=0;I<w.length;I++)""===w[I].pid&&(w[I].pid=P);w.unshift({hasMultipleRoots:!0,id:P,pid:"",label:""})}}else{var O,z=[];for(O in T)k[O]||z.push(O);if(1!==z.length)return a.warn(["Multiple implied roots, cannot build",e.type,"hierarchy of",e.name+".","These roots include:",z.join(", ")].join(" "));O=z[0],w.unshift({hasImpliedRoot:!0,id:O,pid:"",label:O})}try{d=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(w)}catch(t){return a.warn(["Failed to build",e.type,"hierarchy of",e.name+".","Error:",t.message].join(" "))}var D=n.hierarchy(d),R=!1;if(_)switch(e.branchvalues){case"remainder":D.sum((function(t){return t.data.v}));break;case"total":D.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*u)return R=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else!function t(e,r,n){var i=0,a=e.children;if(a){for(var o=a.length,s=0;s<o;s++)i+=t(a[s],r,n);n.branches&&i++}else n.leaves&&i++;e.value=e.data.data.value=i,r._values||(r._values=[]);return r._values[e.data.data.i]=i,i}(D,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!R){var F,B;e.sort&&D.sort((function(t,e){return e.value-t.value}));var N=e.marker.colors||[],j=!!N.length;return e._hasColorscale?(j||(N=_?e.values:e._values),c(t,e,{vals:N,containerStr:"marker",cLetter:"c"}),B=o(e.marker)):F=s(m["_"+e.type+"colormap"]),D.each((function(t){var r=t.data.data;r.color=e._hasColorscale?B(N[r.i]):F(N[r.i],r.id)})),w[0].hierarchy=D,w}},r._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"icicle"===t?p:"treemap"===t?h:f));var o,s=0;function c(t){var e=t.data.data,r=e.id;!1===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[s%i.length],s++):e.color=o)}for(var u=0;u<n.length;u++){var d=n[u][0];d.trace.type===t&&d.hierarchy&&(o=d.trace.root.color,d.hierarchy.each(c))}},r.crossTraceCalc=function(t){return r._runCrossTraceCalc("sunburst",t)}},{"../../components/colorscale":373,"../../constants/numerical":474,"../../lib":498,"../pie/calc":898,"d3-hierarchy":110,"fast-isnumeric":185}],1047:[function(t,e,r){"use strict";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"linear",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"]}},{}],1048:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText,s=t("../../components/colorscale"),l=s.hasColorscale,c=s.handleDefaults;e.exports=function(t,e,r,s){function u(r,a){return n.coerce(t,e,i,r,a)}var f=u("labels"),h=u("parents");if(f&&f.length&&h&&h.length){var p=u("values");p&&p.length?u("branchvalues"):u("count"),u("level"),u("maxdepth"),u("marker.line.width")&&u("marker.line.color",s.paper_bgcolor),u("marker.colors");var d=e._hasColorscale=l(t,"marker","colors")||(t.marker||{}).coloraxis;d&&c(t,e,s,u,{prefix:"marker.",cLetter:"c"}),u("leaf.opacity",d?1:.7);var m=u("text");u("texttemplate"),e.texttemplate||u("textinfo",Array.isArray(m)?"text+label":"label"),u("hovertext"),u("hovertemplate");o(t,e,s,u,"auto",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),u("insidetextorientation"),u("sort"),u("rotation"),u("root.color"),a(e,s,u),e._length=null}else e.visible=!1}},{"../../components/colorscale":373,"../../lib":498,"../../plots/domain":579,"../bar/defaults":647,"./attributes":1044}],1049:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../components/fx/helpers").appendArrayPointValue,o=t("../../components/fx"),s=t("../../lib"),l=t("../../lib/events"),c=t("./helpers"),u=t("../pie/helpers").formatPieValue;function f(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!c.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}e.exports=function(t,e,r,a,h){var p=a[0],d=p.trace,m=p.hierarchy,g="sunburst"===d.type,v="treemap"===d.type||"icicle"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1);t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l,y=r._fullData[d.index],x=i.data.data,b=x.i,_=c.isHierarchyRoot(i),w=c.getParent(m,i),T=c.getValue(i),k=function(t){return s.castOption(y,b,t)},A=k("hovertemplate"),M=o.castHoverinfo(y,a,b),S=a.separators;if(A||M&&"none"!==M&&"skip"!==M){var E,L;g&&(E=p.cx+i.pxmid[0]*(1-i.rInscribed),L=p.cy+i.pxmid[1]*(1-i.rInscribed)),v&&(E=i._hoverX,L=i._hoverY);var C,P={},I=[],O=[],z=function(t){return-1!==I.indexOf(t)};M&&(I="all"===M?y._module.attributes.hoverinfo.flags:M.split("+")),P.label=x.label,z("label")&&P.label&&O.push(P.label),x.hasOwnProperty("v")&&(P.value=x.v,P.valueLabel=u(P.value,S),z("value")&&O.push(P.valueLabel)),P.currentPath=i.currentPath=c.getPath(i.data),z("current path")&&!_&&O.push(P.currentPath);var D=[],R=function(){-1===D.indexOf(C)&&(O.push(C),D.push(C))};P.percentParent=i.percentParent=T/c.getValue(w),P.parent=i.parentString=c.getPtLabel(w),z("percent parent")&&(C=c.formatPercent(P.percentParent,S)+" of "+P.parent,R()),P.percentEntry=i.percentEntry=T/c.getValue(e),P.entry=i.entry=c.getPtLabel(e),!z("percent entry")||_||i.onPathbar||(C=c.formatPercent(P.percentEntry,S)+" of "+P.entry,R()),P.percentRoot=i.percentRoot=T/c.getValue(m),P.root=i.root=c.getPtLabel(m),z("percent root")&&!_&&(C=c.formatPercent(P.percentRoot,S)+" of "+P.root,R()),P.text=k("hovertext")||k("text"),z("text")&&(C=P.text,s.isValidTextValue(C)&&O.push(C)),l=[f(i,y,h.eventDataKeys)];var F={trace:y,y:L,_x0:i._x0,_x1:i._x1,_y0:i._y0,_y1:i._y1,text:O.join("<br>"),name:A||z("name")?y.name:void 0,color:k("hoverlabel.bgcolor")||x.color,borderColor:k("hoverlabel.bordercolor"),fontFamily:k("hoverlabel.font.family"),fontSize:k("hoverlabel.font.size"),fontColor:k("hoverlabel.font.color"),nameLength:k("hoverlabel.namelength"),textAlign:k("hoverlabel.align"),hovertemplate:A,hovertemplateLabels:P,eventData:l};g&&(F.x0=E-i.rInscribed*i.rpx1,F.x1=E+i.rInscribed*i.rpx1,F.idealAlign=i.pxmid[0]<0?"left":"right"),v&&(F.x=E,F.idealAlign=E<0?"left":"right");var B=[];o.loneHover(F,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r,inOut_bbox:B}),l[0].bbox=B[0],d._hasHoverLabel=!0}if(v){var N=t.select("path.surface");h.styleOne(N,i,y,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:l||[f(i,y,h.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[f(s,a,h.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),v){var l=t.select("path.surface");h.styleOne(l,s,a,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=g&&(c.isHierarchyRoot(t)||c.isLeaf(t)),u=c.getPtId(t),p=c.isEntry(t)?c.findEntryWithChild(m,u):c.findEntryWithLevel(m,u),v=c.getPtId(p),y={points:[f(t,a,h.eventDataKeys)],event:n.event};s||(y.nextLevel=v);var x=l.triggerHandler(r,"plotly_"+d.type+"click",y);if(!1!==x&&e.hovermode&&(r._hoverdata=[f(t,a,h.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:v}],traces:[d.index]},_={frame:{redraw:!1,duration:h.transitionTime},transition:{duration:h.transitionTime,easing:h.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},{"../../components/fx":401,"../../components/fx/helpers":397,"../../lib":498,"../../lib/events":487,"../../registry":633,"../pie/helpers":901,"./helpers":1050,"@plotly/d3":58}],1050:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../lib/setcursor"),o=t("../pie/helpers");function s(t){return t.data.data.pid}r.findEntryWithLevel=function(t,e){var n;return e&&t.eachAfter((function(t){if(r.getPtId(t)===e)return n=t.copy()})),n||t},r.findEntryWithChild=function(t,e){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(r.getPtId(o)===e)return n=t.copy()}})),n||t},r.isEntry=function(t){return!t.parent},r.isLeaf=function(t){return!t.children},r.getPtId=function(t){return t.data.data.id},r.getPtLabel=function(t){return t.data.data.label},r.getValue=function(t){return t.value},r.isHierarchyRoot=function(t){return""===s(t)},r.setSliceCursor=function(t,e,n){var i=n.isTransitioning;if(!i){var o=t.datum();i=n.hideOnRoot&&r.isHierarchyRoot(o)||n.hideOnLeaves&&r.isLeaf(o)}a(t,i?null:"pointer")},r.getInsideTextFontKey=function(t,e,r,i,a){var o=(a||{}).onPathbar?"pathbar.textfont":"insidetextfont",s=r.data.data.i;return n.castOption(e,s,o+"."+t)||n.castOption(e,s,"textfont."+t)||i.size},r.getOutsideTextFontKey=function(t,e,r,i){var a=r.data.data.i;return n.castOption(e,a,"outsidetextfont."+t)||n.castOption(e,a,"textfont."+t)||i.size},r.isOutsideText=function(t,e){return!t._hasColorscale&&r.isHierarchyRoot(e)},r.determineTextFont=function(t,e,a,o){return r.isOutsideText(t,e)?function(t,e,n){return{color:r.getOutsideTextFontKey("color",t,e,n),family:r.getOutsideTextFontKey("family",t,e,n),size:r.getOutsideTextFontKey("size",t,e,n)}}(t,e,a):function(t,e,a,o){var s=(o||{}).onPathbar,l=e.data.data,c=l.i,u=n.castOption(t,c,(s?"pathbar.textfont":"insidetextfont")+".color");return!u&&t._input.textfont&&(u=n.castOption(t._input,c,"textfont.color")),{color:u||i.contrast(l.color),family:r.getInsideTextFontKey("family",t,e,a,o),size:r.getInsideTextFontKey("size",t,e,a,o)}}(t,e,a,o)},r.hasTransition=function(t){return!!(t&&t.duration>0)},r.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},r.isHeader=function(t,e){return!(r.isLeaf(t)||t.depth===e._maxDepth-1)},r.getParent=function(t,e){return r.findEntryWithLevel(t,s(e))},r.listPath=function(t,e){var n=t.parent;if(!n)return[];var i=e?[n.data[e]]:[n];return r.listPath(n,e).concat(i)},r.getPath=function(t){return r.listPath(t,"label").join("/")+"/"},r.formatValue=o.formatPieValue,r.formatPercent=function(t,e){var r=n.formatPercent(t,0);return"0%"===r&&(r=o.formatPiePercent(t,e)),r}},{"../../components/color":361,"../../lib":498,"../../lib/setcursor":519,"../pie/helpers":901}],1051:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"sunburst",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":940,"./attributes":1044,"./base_plot":1045,"./calc":1046,"./defaults":1048,"./layout_attributes":1052,"./layout_defaults":1053,"./plot":1054,"./style":1055}],1052:[function(t,e,r){"use strict";e.exports={sunburstcolorway:{valType:"colorlist",editType:"calc"},extendsunburstcolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1053:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("sunburstcolorway",e.colorway),r("extendsunburstcolors")}},{"../../lib":498,"./layout_attributes":1052}],1054:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-hierarchy"),a=t("d3-interpolate").interpolate,o=t("../../components/drawing"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("../bar/uniform_text"),u=c.recordMinTextSize,f=c.clearMinTextSize,h=t("../pie/plot"),p=t("../pie/helpers").getRotationAngle,d=h.computeTransform,m=h.transformInsideText,g=t("./style").styleOne,v=t("../bar/style").resizeText,y=t("./fx"),x=t("./constants"),b=t("./helpers");function _(t,e,c,f){var h=t._fullLayout,v=!h.uniformtext.mode&&b.hasTransition(f),_=n.select(c).selectAll("g.slice"),T=e[0],k=T.trace,A=T.hierarchy,M=b.findEntryWithLevel(A,k.level),S=b.getMaxDepth(k),E=h._size,L=k.domain,C=E.w*(L.x[1]-L.x[0]),P=E.h*(L.y[1]-L.y[0]),I=.5*Math.min(C,P),O=T.cx=E.l+E.w*(L.x[1]+L.x[0])/2,z=T.cy=E.t+E.h*(1-L.y[0])-P/2;if(!M)return _.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append("g").classed("slice",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select("g.slicetext").attr("opacity",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each("end",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,"path","surface",(function(t){t.style("pointer-events","all")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr("d",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,k);var p=s.ensureSingle(c,"g","slicetext"),_=s.ensureSingle(p,"text","",(function(t){t.attr("data-notex",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=m(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween("transform",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),m=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,g=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return g(Math.pow(t,m))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr("transform",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var m,g=o.split("+"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(b.formatValue(u.v,l)),!h){v("current path")&&y.push(b.getPath(t.data));var x=0;v("percent parent")&&x++,v("percent entry")&&x++,v("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){m=b.formatPercent(w,l),_&&(m+=" of "+t),y.push(m)};v("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),v("percent entry")&&(w=d/b.getValue(e),T("entry")),v("percent root")&&(w=d/b.getValue(f),T("root"))}}return v("text")&&(m=s.castOption(r,u.i,"text"),s.isValidTextValue(m)&&y.push(m)),y.join("<br>")}var k=s.castOption(r,u.i,"texttemplate");if(!k)return"";var A={};u.label&&(A.label=u.label),u.hasOwnProperty("v")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty("color")&&(A.color=u.color);var M=s.castOption(r,u.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../bar/style":657,"../bar/uniform_text":659,"../pie/helpers":901,"../pie/plot":905,"./constants":1047,"./fx":1049,"./helpers":1050,"./style":1055,"@plotly/d3":58,"d3-hierarchy":110,"d3-interpolate":111}],1055:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":361,"../../lib":498,"../bar/uniform_text":659,"@plotly/d3":58}],1056:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;function u(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},{"../../components/color":361,"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628}],1057:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":369}],1058:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_surface3d,i=t("../../../stackgl_modules").ndarray,a=t("../../../stackgl_modules").ndarray_linear_interpolate.d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),f=t("../../components/colorscale").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib":498,"../../lib/gl_format_color":494,"../../lib/str2rgbarray":523,"../heatmap/find_empties":793,"../heatmap/interp2d":796}],1059:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");function s(t,e,r,n){var i=n("opacityscale");"max"===i?e.opacityscale=[[0,.1],[1,1]]:"min"===i?e.opacityscale=[[0,1],[1,.1]]:"extremes"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var p=h("x"),d=h("y"),m=h("z");if(!m||!m.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?m.length:m[0].length,e._ylength=m.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],c),h("text"),h("hovertext"),h("hovertemplate"),h("xhoverformat"),h("yhoverformat"),h("zhoverformat"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){h(t)}));var g=h("surfacecolor"),v=["x","y","z"];for(u=0;u<3;++u){var y="contours."+v[u],x=h(y+".show"),b=h(y+".highlight");if(x||b)for(f=0;f<3;++f)h(y+".project."+v[f]);x&&(h(y+".color"),h(y+".width"),h(y+".usecolormap")),b&&(h(y+".highlightcolor"),h(y+".highlightwidth")),h(y+".start"),h(y+".end"),h(y+".size")}g||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,c,h,{prefix:"",cLetter:"c"}),s(t,e,c,h),e._length=null}},opacityscaleDefaults:s}},{"../../components/colorscale/defaults":371,"../../lib":498,"../../registry":633,"./attributes":1056}],1060:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),moduleType:"trace",name:"surface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","2dMap","showLegend"],meta:{}}},{"../../plots/gl3d":593,"./attributes":1056,"./calc":1057,"./convert":1058,"./defaults":1059}],1061:[function(t,e,r){"use strict";var n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))}},"calc","from-root")).transforms=void 0},{"../../components/annotations/attributes":344,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/cartesian/axis_format_attributes":552,"../../plots/domain":579,"../../plots/font_attributes":580}],1062:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getModuleCalcData,i=t("./plot");r.name="table",r.plot=function(t){var e=n(t.calcdata,"table")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("table"),a=e._has&&e._has("table");i&&!a&&n._paperdiv.selectAll(".table").remove()}},{"../../plots/get_data":588,"./plot":1069}],1063:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap;e.exports=function(){return n({})}},{"../../lib/gup":495}],1064:[function(t,e,r){"use strict";e.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\$.*\$$/,goldenRatio:1.618,lineBreaker:"<br>",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},{}],1065:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib/extend").extendFlat,a=t("fast-isnumeric");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var m=d.concat(p(r).map((function(){return c((d[0]||[""]).length)}))),g=e.domain,v=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),y=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?m[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=m.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{"../../lib/extend":488,"./constants":1064,"fast-isnumeric":185}],1066:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> ]/)?"_keybuster_"+Math.random():""),key:e[0]+n,column:t,calcdata:t.calcdata,page:t.page,rowBlocks:t.rowBlocks,value:r}}))}},{"../../lib/extend":488}],1067:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults;e.exports=function(t,e,r,o){function s(r,a){return n.coerce(t,e,i,r,a)}a(e,o,s),s("columnwidth"),s("header.values"),s("header.format"),s("header.align"),s("header.prefix"),s("header.suffix"),s("header.height"),s("header.line.width"),s("header.line.color"),s("header.fill.color"),n.coerceFont(s,"header.font",n.extendFlat({},o.font)),function(t,e){for(var r=t.columnorder||[],n=t.header.values.length,i=r.slice(0,n),a=i.slice().sort((function(t,e){return t-e})),o=i.map((function(t){return a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e("columnorder",o)}(e,s),s("cells.values"),s("cells.format"),s("cells.align"),s("cells.prefix"),s("cells.suffix"),s("cells.height"),s("cells.line.width"),s("cells.line.color"),s("cells.fill.color"),n.coerceFont(s,"cells.font",n.extendFlat({},o.font)),e._length=null}},{"../../lib":498,"../../plots/domain":579,"./attributes":1061}],1068:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),moduleType:"trace",name:"table",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":1061,"./base_plot":1062,"./calc":1063,"./defaults":1067,"./plot":1069}],1069:[function(t,e,r){"use strict";var n=t("./constants"),i=t("@plotly/d3"),a=t("../../lib").numberFormat,o=t("../../lib/gup"),s=t("../../components/drawing"),l=t("../../lib/svg_text_utils"),c=t("../../lib").raiseToTop,u=t("../../lib").strTranslate,f=t("../../lib").cancelTransition,h=t("./data_preparation_helper"),p=t("./data_split_helpers"),d=t("../../components/color");function m(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return"clip"+t._fullLayout._uid+"_scrollAreaBottomClip_"+e.key}function v(t,e){return"clip"+t._fullLayout._uid+"_columnBoundaryClippath_"+e.calcdata.key+"_"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll("."+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append("g").classed(n.cn.scrollbarKit,!0).style("shape-rendering","geometricPrecision"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr("transform",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll("."+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append("g").classed(n.cn.scrollbar,!0);var l=s.selectAll("."+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append("g").classed(n.cn.scrollbarSlider,!0),l.attr("transform",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll("."+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append("line").classed(n.cn.scrollbarGlyph,!0).attr("stroke","black").attr("stroke-width",n.scrollbarWidth).attr("stroke-linecap","round").attr("y1",n.scrollbarWidth/2),c.attr("y2",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr("stroke-opacity",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr("stroke-opacity",0);var f=s.selectAll("."+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append("line").classed(n.cn.scrollbarCaptureZone,!0).attr("stroke","white").attr("stroke-opacity",.01).attr("stroke-width",n.scrollbarCaptureWidth).attr("stroke-linecap","butt").attr("y1",0).on("mousedown",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on("drag",L(e,t)).on("dragend",(function(){}))),f.attr("y2",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll("."+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append("g").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll("."+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append("g").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(l),function(t){t.attr("width",(function(t){return t.column.columnWidth})).attr("stroke-width",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(function(t){var e=t.selectAll("."+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append("rect").classed(n.cn.cellRect,!0),e}(l));var c=function(t){var e=t.selectAll("."+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append("text").classed(n.cn.cellText,!0).style("cursor",(function(){return"auto"})).on("mousedown",(function(){i.event.stopPropagation()})),e}(function(t){var e=t.selectAll("."+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append("g").classed(n.cn.cellTextHolder,!0).style("shape-rendering","geometricPrecision"),e}(l));!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(c),_(c,e,a,t),z(l)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o="string"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var c,u="string"==typeof(c=i)&&c.match(n.latexCheck);t.latex=u;var f,h,p=u?"":T(t.calcdata.cells.prefix,e,r)||"",d=u?"":T(t.calcdata.cells.suffix,e,r)||"",m=u?null:T(t.calcdata.cells.format,e,r)||null,g=p+(m?a(m)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(g)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(" "===n.wrapSplitCharacter?g.replace(/<a href=/gi,"<a_href="):g).split(n.wrapSplitCharacter),y=" "===n.wrapSplitCharacter?v.map((function(t){return t.replace(/<a_href=/gi,"<a href=")})):v;t.fragments=y.map((function(t){return{text:t,width:null}})),t.fragments.push({fragment:n.wrapSpacer,width:null}),h=y.join(n.lineBreaker)+n.lineBreaker+n.wrapSpacer}else delete t.fragments,h=g;return h})).attr("dy",(function(t){return t.needsConvertToTspans?0:"0.75em"})).each((function(t){var a=i.select(this),s=t.wrappingNeeded?P:I;t.needsConvertToTspans?l.convertToTspans(a,o,s(r,this,e,o,t)):i.select(this.parentNode).attr("transform",(function(t){return u(O(t),n.cellPad)})).attr("text-anchor",(function(t){return{left:"start",center:"middle",right:"end"}[t.align]}))}))}function w(t){return-1!==t.indexOf(n.wrapSplitCharacter)}function T(t,e,r){if(Array.isArray(t)){var n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr("transform",u(e.x,r))}function A(t){return"cells"===t.type}function M(t){return"header"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr("transform",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll("."+n.cn.yColumn).selectAll("."+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll("tspan.line").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value="";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll("tspan.line").remove(),_(o.select("."+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var s=i.select(e.parentNode),l=B(o),c=o.key-l.firstRowIndex,f=l.rows[c].rowHeight,h=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:f,p=Math.max(h,f);p-l.rows[c].rowHeight&&(l.rows[c].rowHeight=p,t.selectAll("."+n.cn.columnCell).call(z),E(null,t.filter(A),0),x(r,a,!0)),s.attr("transform",(function(){var t=this.parentNode.getBoundingClientRect(),e=i.select(this.parentNode).select("."+n.cn.cellRect).node().getBoundingClientRect(),r=this.transform.baseVal.consolidate(),a=e.top-t.top+(r?r.matrix.f:n.cellPad);return u(O(o,i.select(this.parentNode).select("."+n.cn.cellTextHolder).node().getBoundingClientRect().width),a)})),o.settledY=!0}}}function O(t,e){switch(t.align){case"left":return n.cellPad;case"right":return t.column.columnWidth-(e||0)-n.cellPad;case"center":return(t.column.columnWidth-(e||0))/2;default:return n.cellPad}}function z(t){t.attr("transform",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return t+R(e,1/0)}),0),r=R(B(t),t.key);return u(0,r+e)})).selectAll("."+n.cn.cellRect).attr("height",(function(t){return(e=B(t),r=t.key,e.rows[r-e.firstRowIndex]).rowHeight;var e,r}))}function D(t,e){for(var r=0,n=e-1;n>=0;n--)r+=F(t[n]);return r}function R(t,e){for(var r=0,n=0;n<t.rows.length&&t.rows[n].rowIndex<e;n++)r+=t.rows[n].rowHeight;return r}function F(t){var e=t.allRowsHeight;if(void 0!==e)return e;for(var r=0,n=0;n<t.rows.length;n++)r+=t.rows[n].rowHeight;return t.allRowsHeight=r,r}function B(t){return t.rowBlocks[t.page]}e.exports=function(t,e){var r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll("."+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append("g").classed(n.cn.table,!0).attr("overflow","visible").style("box-sizing","content-box").style("position","absolute").style("left",0).style("overflow","visible").style("shape-rendering","crispEdges").style("pointer-events","all"),a.attr("width",(function(t){return t.width+t.size.l+t.size.r})).attr("height",(function(t){return t.height+t.size.t+t.size.b})).attr("transform",(function(t){return u(t.translateX,t.translateY)}));var l=a.selectAll("."+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append("g").classed(n.cn.tableControlView,!0).style("box-sizing","content-box");if(r){var _="onwheel"in document?"wheel":"mousewheel";d.on("mousemove",(function(e){l.filter((function(t){return e===t})).call(x,t)})).on(_,(function(e){if(!e.scrollbarState.wheeling){e.scrollbarState.wheeling=!0;var r=e.scrollY+i.event.deltaY;L(t,l,null,r)(e)||(i.event.stopPropagation(),i.event.preventDefault()),e.scrollbarState.wheeling=!1}})).call(x,t,!0)}l.attr("transform",(function(t){return u(t.size.l,t.size.t)}));var w=l.selectAll("."+n.cn.scrollBackground).data(o.repeat,o.keyFun);w.enter().append("rect").classed(n.cn.scrollBackground,!0).attr("fill","none"),w.attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),l.each((function(e){s.setClipUrl(i.select(this),g(t,e),t)}));var T=l.selectAll("."+n.cn.yColumn).data((function(t){return t.columns}),o.keyFun);T.enter().append("g").classed(n.cn.yColumn,!0),T.exit().remove(),T.attr("transform",(function(t){return u(t.x,0)})),r&&T.call(i.behavior.drag().origin((function(e){return k(i.select(this),e,-n.uplift),c(this),e.calcdata.columnDragInProgress=!0,x(l.filter((function(t){return e.calcdata.key===t.key})),t),e})).on("drag",(function(t){var e=i.select(this),r=function(e){return(t===e?i.event.x:e.x)+e.columnWidth/2};t.x=Math.max(-n.overdrag,Math.min(t.calcdata.width+n.overdrag-t.columnWidth,i.event.x)),y(T).filter((function(e){return e.calcdata.key===t.calcdata.key})).sort((function(t,e){return r(t)-r(e)})).forEach((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e)})),T.filter((function(e){return t!==e})).transition().ease(n.transitionEase).duration(n.transitionDuration).attr("transform",(function(t){return u(t.x,0)})),e.call(f).attr("transform",u(t.x,-n.uplift))})).on("dragend",(function(e){var r=i.select(this),n=e.calcdata;e.x=e.xScale(e),e.calcdata.columnDragInProgress=!1,k(r,e,0),function(t,e,r){var n=e.gdColumnsOriginalOrder;e.gdColumns.sort((function(t,e){return r[n.indexOf(t)]-r[n.indexOf(e)]})),e.columnorder=r,t.emit("plotly_restyle")}(t,n,n.columns.map((function(t){return t.xIndex})))}))),T.each((function(e){s.setClipUrl(i.select(this),v(t,e),t)}));var S=T.selectAll("."+n.cn.columnBlock).data(p.splitToPanels,o.keyFun);S.enter().append("g").classed(n.cn.columnBlock,!0).attr("id",(function(t){return t.key})),S.style("cursor",(function(t){return t.dragHandle?"ew-resize":t.calcdata.scrollbarState.barWiggleRoom?"ns-resize":"default"}));var C=S.filter(M),P=S.filter(A);r&&P.call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t})).on("drag",L(t,l,-1)).on("dragend",(function(){}))),b(t,l,C,S),b(t,l,P,S);var I=l.selectAll("."+n.cn.scrollAreaClip).data(o.repeat,o.keyFun);I.enter().append("clipPath").classed(n.cn.scrollAreaClip,!0).attr("id",(function(e){return g(t,e)}));var O=I.selectAll("."+n.cn.scrollAreaClipRect).data(o.repeat,o.keyFun);O.enter().append("rect").classed(n.cn.scrollAreaClipRect,!0).attr("x",-n.overdrag).attr("y",-n.uplift).attr("fill","none"),O.attr("width",(function(t){return t.width+2*n.overdrag})).attr("height",(function(t){return t.height+n.uplift})),T.selectAll("."+n.cn.columnBoundary).data(o.repeat,o.keyFun).enter().append("g").classed(n.cn.columnBoundary,!0);var z=T.selectAll("."+n.cn.columnBoundaryClippath).data(o.repeat,o.keyFun);z.enter().append("clipPath").classed(n.cn.columnBoundaryClippath,!0),z.attr("id",(function(e){return v(t,e)}));var D=z.selectAll("."+n.cn.columnBoundaryRect).data(o.repeat,o.keyFun);D.enter().append("rect").classed(n.cn.columnBoundaryRect,!0).attr("fill","none"),D.attr("width",(function(t){return t.columnWidth+2*m(t)})).attr("height",(function(t){return t.calcdata.height+2*m(t)+n.uplift})).attr("x",(function(t){return-m(t)})).attr("y",(function(t){return-m(t)})),E(null,P,l)}},{"../../components/color":361,"../../components/drawing":383,"../../lib":498,"../../lib/gup":495,"../../lib/svg_text_utils":524,"./constants":1064,"./data_preparation_helper":1065,"./data_split_helpers":1066,"@plotly/d3":58}],1070:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../components/colorscale/attributes"),o=t("../../plots/domain").attributes,s=t("../pie/attributes"),l=t("../sunburst/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:"enumerated",values:["squarify","binary","dice","slice","slice-dice","dice-slice"],dflt:"squarify",editType:"plot"},squarifyratio:{valType:"number",min:1,dflt:1,editType:"plot"},flip:{valType:"flaglist",flags:["x","y"],dflt:"",editType:"plot"},pad:{valType:"number",min:0,dflt:3,editType:"plot"},editType:"calc"},marker:u({pad:{t:{valType:"number",min:0,editType:"plot"},l:{valType:"number",min:0,editType:"plot"},r:{valType:"number",min:0,editType:"plot"},b:{valType:"number",min:0,editType:"plot"},editType:"calc"},colors:l.marker.colors,depthfade:{valType:"enumerated",values:[!0,!1,"reversed"],editType:"style"},line:l.marker.line,editType:"calc"},a("marker",{colorAttr:"colors",anim:!1})),pathbar:{visible:{valType:"boolean",dflt:!0,editType:"plot"},side:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},edgeshape:{valType:"enumerated",values:[">","<","|","/","\\"],dflt:">",editType:"plot"},thickness:{valType:"number",min:12,editType:"plot"},textfont:u({},s.textfont,{}),editType:"calc"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:"plot"},{keys:c.eventDataKeys.concat(["label","value"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"top left",editType:"plot"},sort:s.sort,root:l.root,domain:o({name:"treemap",trace:!0,editType:"calc"})}},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plots/domain":579,"../../plots/template_attributes":628,"../pie/attributes":896,"../sunburst/attributes":1044,"./constants":1073}],1071:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="treemap",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":614}],1072:[function(t,e,r){"use strict";var n=t("../sunburst/calc");r.calc=function(t,e){return n.calc(t,e)},r.crossTraceCalc=function(t){return n._runCrossTraceCalc("treemap",t)}},{"../sunburst/calc":1046}],1073:[function(t,e,r){"use strict";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"poly",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"],gapWithPathbar:1}},{}],1074:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText,l=t("../bar/constants").TEXTPAD,c=t("../../components/colorscale"),u=c.hasColorscale,f=c.handleDefaults;e.exports=function(t,e,r,c){function h(r,a){return n.coerce(t,e,i,r,a)}var p=h("labels"),d=h("parents");if(p&&p.length&&d&&d.length){var m=h("values");m&&m.length?h("branchvalues"):h("count"),h("level"),h("maxdepth"),"squarify"===h("tiling.packing")&&h("tiling.squarifyratio"),h("tiling.flip"),h("tiling.pad");var g=h("text");h("texttemplate"),e.texttemplate||h("textinfo",Array.isArray(g)?"text+label":"label"),h("hovertext"),h("hovertemplate");var v=h("pathbar.visible");s(t,e,c,h,"auto",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),h("textposition");var y=-1!==e.textposition.indexOf("bottom");h("marker.line.width")&&h("marker.line.color",c.paper_bgcolor);var x=h("marker.colors");(e._hasColorscale=u(t,"marker","colors")||(t.marker||{}).coloraxis)?f(t,e,c,h,{prefix:"marker.",cLetter:"c"}):h("marker.depthfade",!(x||[]).length);var b=2*e.textfont.size;h("marker.pad.t",y?b/4:b),h("marker.pad.l",b/4),h("marker.pad.r",b/4),h("marker.pad.b",y?b:b/4),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(h("pathbar.thickness",e.pathbar.textfont.size+2*l),h("pathbar.side"),h("pathbar.edgeshape")),h("sort"),h("root.color"),o(e,c,h),e._length=null}else e.visible=!1}},{"../../components/color":361,"../../components/colorscale":373,"../../lib":498,"../../plots/domain":579,"../bar/constants":645,"../bar/defaults":647,"./attributes":1070}],1075:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../sunburst/helpers"),a=t("../bar/uniform_text").clearMinTextSize,o=t("../bar/style").resizeText,s=t("./plot_one");e.exports=function(t,e,r,l,c){var u,f,h=c.type,p=c.drawDescendants,d=t._fullLayout,m=d["_"+h+"layer"],g=!r;(a(h,d),(u=m.selectAll("g.trace."+h).data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed(h,!0),u.order(),!d.uniformtext.mode&&i.hasTransition(r))?(l&&(f=l()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){f&&f()})).each("interrupt",(function(){f&&f()})).each((function(){m.selectAll("g.trace").each((function(e){s(t,e,this,r,p)}))}))):(u.each((function(e){s(t,e,this,r,p)})),d.uniformtext.mode&&o(t,m.selectAll(".trace"),h));g&&u.exit().remove()}},{"../bar/style":657,"../bar/uniform_text":659,"../sunburst/helpers":1050,"./plot_one":1084,"@plotly/d3":58}],1076:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),f=t("../sunburst/fx");e.exports=function(t,e,r,h,p){var d=p.barDifY,m=p.width,g=p.height,v=p.viewX,y=p.viewY,x=p.pathSlice,b=p.toMoveInsideSlice,_=p.strTransform,w=p.hasTransition,T=p.handleSlicesExit,k=p.makeUpdateSliceInterpolator,A=p.makeUpdateTextInterpolator,M={},S=t._fullLayout,E=e[0],L=E.trace,C=E.hierarchy,P=m/L._entryDepth,I=u.listPath(r.data,"id"),O=s(C.copy(),[m,g],{packing:"dice",pad:{inner:0,top:0,left:0,right:0,bottom:0}}).descendants();(O=O.filter((function(t){var e=I.indexOf(t.data.id);return-1!==e&&(t.x0=P*e,t.x1=P*(e+1),t.y0=d,t.y1=d+g,t.onPathbar=!0,!0)}))).reverse(),(h=h.data(O,u.getPtId)).enter().append("g").classed("pathbar",!0),T(h,!0,M,[m,g],x),h.order();var z=h;w&&(z=z.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:!1})}))),z.each((function(s){s._x0=v(s.x0),s._x1=v(s.x1),s._y0=y(s.y0),s._y1=y(s.y1),s._hoverX=v(s.x1-Math.min(m,g)/2),s._hoverY=y(s.y1-g/2);var h=n.select(this),p=i.ensureSingle(h,"path","surface",(function(t){t.style("pointer-events","all")}));w?p.transition().attrTween("d",(function(t){var e=k(t,!0,M,[m,g]);return function(t){return x(e(t))}})):p.attr("d",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,L,{hovered:!1}),s._text=(u.getPtLabel(s)||"").split("<br>").join(" ")||"";var d=i.ensureSingle(h,"g","slicetext"),T=i.ensureSingle(d,"text","",(function(t){t.attr("data-notex",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));T.text(s._text||" ").classed("slicetext",!0).attr("text-anchor","start").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween("transform",(function(t){var e=A(t,!0,M,[m,g]);return function(t){return _(e(t))}})):T.attr("transform",_(s))}))}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../sunburst/fx":1049,"../sunburst/helpers":1050,"./constants":1073,"./partition":1082,"./style":1085,"@plotly/d3":58}],1077:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),f=t("../sunburst/fx"),h=t("../sunburst/plot").formatSliceLabel;e.exports=function(t,e,r,p,d){var m=d.width,g=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,A=d.makeUpdateTextInterpolator,M=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf("left"),C=-1!==E.textposition.indexOf("right"),P=-1!==E.textposition.indexOf("bottom"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,O=s(r,[m,g],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf("x")>-1,flipY:E.tiling.flip.indexOf("y")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),z=1/0,D=-1/0;O.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(z=Math.min(z,e),D=Math.max(D,e))})),p=p.data(O,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-z+1:0,p.enter().append("g").classed("slice",!0),T(p,!1,{},[m,g],x),p.order();var R=null;if(w&&M){var F=u.getPtId(M);p.each((function(t){null===R&&u.getPtId(t)===F&&(R={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})}))}var B=function(){return R||{x0:0,x1:m,y0:0,y1:g}},N=p;return w&&(N=N.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!1,isTransitioning:!1})}))),N.each((function(s){var p=u.isHeader(s,E);s._x0=v(s.x0),s._x1=v(s.x1),s._y0=y(s.y0),s._y1=y(s.y1),s._hoverX=v(s.x1-E.marker.pad.r),s._hoverY=y(P?s.y1-E.marker.pad.b/2:s.y0+E.marker.pad.t/2);var d=n.select(this),T=i.ensureSingle(d,"path","surface",(function(t){t.style("pointer-events","all")}));w?T.transition().attrTween("d",(function(t){var e=k(t,!1,B(),[m,g]);return function(t){return x(e(t))}})):T.attr("d",x),d.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{isTransitioning:t._transitioning}),T.call(l,s,E,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text="":s._text=p?I?"":u.getPtLabel(s)||"":h(s,r,E,e,S)||"";var M=i.ensureSingle(d,"g","slicetext"),O=i.ensureSingle(M,"text","",(function(t){t.attr("data-notex",1)})),z=i.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));O.text(s._text||" ").classed("slicetext",!0).attr("text-anchor",C?"end":L||p?"start":"middle").call(a.font,z).call(o.convertToTspans,t),s.textBB=a.bBox(O.node()),s.transform=b(s,{fontSize:z.size,isHeader:p}),s.transform.fontSize=z.size,w?O.transition().attrTween("transform",(function(t){var e=A(t,!1,B(),[m,g]);return function(t){return _(e(t))}})):O.attr("transform",_(s))})),R}},{"../../components/drawing":383,"../../lib":498,"../../lib/svg_text_utils":524,"../sunburst/fx":1049,"../sunburst/helpers":1050,"../sunburst/plot":1054,"./constants":1073,"./partition":1082,"./style":1085,"@plotly/d3":58}],1078:[function(t,e,r){"use strict";e.exports=function t(e,r,n){var i;n.swapXY&&(i=e.x0,e.x0=e.y0,e.y0=i,i=e.x1,e.x1=e.y1,e.y1=i),n.flipX&&(i=e.x0,e.x0=r[0]-e.x1,e.x1=r[0]-i),n.flipY&&(i=e.y0,e.y0=r[1]-e.y1,e.y1=r[1]-i);var a=e.children;if(a)for(var o=0;o<a.length;o++)t(a[o],r,n)}},{}],1079:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"treemap",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":940,"./attributes":1070,"./base_plot":1071,"./calc":1072,"./defaults":1074,"./layout_attributes":1080,"./layout_defaults":1081,"./plot":1083,"./style":1085}],1080:[function(t,e,r){"use strict";e.exports={treemapcolorway:{valType:"colorlist",editType:"calc"},extendtreemapcolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1081:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("treemapcolorway",e.colorway),r("extendtreemapcolors")}},{"../../lib":498,"./layout_attributes":1080}],1082:[function(t,e,r){"use strict";var n=t("d3-hierarchy"),i=t("./flip_tree");e.exports=function(t,e,r){var a,o=r.flipX,s=r.flipY,l="dice-slice"===r.packing,c=r.pad[s?"bottom":"top"],u=r.pad[o?"right":"left"],f=r.pad[o?"left":"right"],h=r.pad[s?"top":"bottom"];l&&(a=u,u=c,c=a,a=f,f=h,h=a);var p=n.treemap().tile(function(t,e){switch(t){case"squarify":return n.treemapSquarify.ratio(e);case"binary":return n.treemapBinary;case"dice":return n.treemapDice;case"slice":return n.treemapSlice;default:return n.treemapSliceDice}}(r.packing,r.squarifyratio)).paddingInner(r.pad.inner).paddingLeft(u).paddingRight(f).paddingTop(c).paddingBottom(h).size(l?[e[1],e[0]]:e)(t);return(l||o||s)&&i(p,e,{swapXY:l,flipX:o,flipY:s}),p}},{"./flip_tree":1078,"d3-hierarchy":110}],1083:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./draw_descendants");e.exports=function(t,e,r,a){return n(t,e,r,a,{type:"treemap",drawDescendants:i})}},{"./draw":1075,"./draw_descendants":1077}],1084:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolate,a=t("../sunburst/helpers"),o=t("../../lib"),s=t("../bar/constants").TEXTPAD,l=t("../bar/plot").toMoveInsideBar,c=t("../bar/uniform_text").recordMinTextSize,u=t("./constants"),f=t("./draw_ancestors");function h(t){return a.isHierarchyRoot(t)?"":a.getPtId(t)}e.exports=function(t,e,r,p,d){var m=t._fullLayout,g=e[0],v=g.trace,y="icicle"===v.type,x=g.hierarchy,b=a.findEntryWithLevel(x,v.level),_=n.select(r),w=_.selectAll("g.pathbar"),T=_.selectAll("g.slice");if(!b)return w.remove(),void T.remove();var k=a.isHierarchyRoot(b),A=!m.uniformtext.mode&&a.hasTransition(p),M=a.getMaxDepth(v),S=m._size,E=v.domain,L=S.w*(E.x[1]-E.x[0]),C=S.h*(E.y[1]-E.y[0]),P=L,I=v.pathbar.thickness,O=v.marker.line.width+u.gapWithPathbar,z=v.pathbar.visible?v.pathbar.side.indexOf("bottom")>-1?C+O:-(I+O):0,D={x0:P,x1:P,y0:z,y1:z+I},R=function(t,e,r){var n=v.tiling.pad,i=function(t){return t-n<=e.x0},a=function(t){return t+n>=e.x1},o=function(t){return t-n<=e.y0},s=function(t){return t+n>=e.y1};return t.x0===e.x0&&t.x1===e.x1&&t.y0===e.y0&&t.y1===e.y1?{x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1}:{x0:i(t.x0-n)?0:a(t.x0-n)?r[0]:t.x0,x1:i(t.x1+n)?0:a(t.x1+n)?r[0]:t.x1,y0:o(t.y0-n)?0:s(t.y0-n)?r[1]:t.y0,y1:o(t.y1+n)?0:s(t.y1+n)?r[1]:t.y1}},F=null,B={},N={},j=null,U=function(t,e){return e?B[h(t)]:N[h(t)]},V=function(t,e,r,n){if(e)return B[h(x)]||D;var i=N[v.level]||r;return function(t){return t.data.depth-b.data.depth<M}(t)?R(t,i,n):{}};g.hasMultipleRoots&&k&&M++,v._maxDepth=M,v._backgroundColor=m.paper_bgcolor,v._entryDepth=b.data.depth,v._atRootLevel=k;var H=-L/2+S.l+S.w*(E.x[1]+E.x[0])/2,q=-C/2+S.t+S.h*(1-(E.y[1]+E.y[0])/2),G=function(t){return H+t},Y=function(t){return q+t},W=Y(0),X=G(0),Z=function(t){return X+t},J=function(t){return W+t};function K(t,e){return t+","+e}var Q=Z(0),$=function(t){t.x=Math.max(Q,t.x)},tt=v.pathbar.edgeshape,et=function(t,e){var r=t.x0,n=t.x1,i=t.y0,a=t.y1,o=t.textBB,u=function(t){return-1!==v.textposition.indexOf(t)},f=u("bottom"),h=u("top")||e.isHeader&&!f?"start":f?"end":"middle",p=u("right"),d=u("left")||e.onPathbar?-1:p?1:0,g=v[y?"tiling":"marker"].pad;if(e.isHeader){if((r+=(y?g:g.l)-s)>=(n-=(y?g:g.r)-s)){var x=(r+n)/2;r=x,n=x}var b;f?i<(b=a-(y?g:g.b))&&b<a&&(i=b):i<(b=i+(y?g:g.t))&&b<a&&(a=b)}var _=l(r,n,i,a,o,{isHorizontal:!1,constrained:!0,angle:0,anchor:h,leftToRight:d});return _.fontSize=e.fontSize,_.targetX=G(_.targetX),_.targetY=Y(_.targetY),isNaN(_.targetX)||isNaN(_.targetY)?{}:(r!==n&&i!==a&&c(v.type,_,m),{scale:_.scale,rotate:_.rotate,textX:_.textX,textY:_.textY,anchorX:_.anchorX,anchorY:_.anchorY,targetX:_.targetX,targetY:_.targetY})},rt=function(t,e){for(var r,n=0,i=t;!r&&n<M;)n++,(i=i.parent)?r=U(i,e):n=M;return r||{}},nt=function(t,e,r,n,a){var s,l=U(t,e);if(l)s=l;else if(e)s=D;else if(F)if(t.parent){var c=j||r;c&&!e?s=R(t,c,n):(s={},o.extendFlat(s,rt(t,e)))}else s=o.extendFlat({},t),y&&("h"===a.orientation?a.flipX?s.x0=t.x1:s.x1=0:a.flipY?s.y0=t.y1:s.y1=0);else s={};return i(s,{x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})},it=function(t,e,r,n){var s=U(t,e),l={},u=V(t,e,r,n);o.extendFlat(l,{transform:et({x0:u.x0,x1:u.x1,y0:u.y0,y1:u.y1,textBB:t.textBB,_text:t._text},{isHeader:a.isHeader(t,v)})}),s?l=s:t.parent&&o.extendFlat(l,rt(t,e));var f=t.transform;return t.x0!==t.x1&&t.y0!==t.y1&&c(v.type,f,m),i(l,{transform:{scale:f.scale,rotate:f.rotate,textX:f.textX,textY:f.textY,anchorX:f.anchorX,anchorY:f.anchorY,targetX:f.targetX,targetY:f.targetY}})},at=function(t,e,r,a,o){var s=a[0],l=a[1];A?t.exit().transition().each((function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",(function(t){var r=function(t,e,r,n){var a,o=U(t,e);if(e)a=D;else{var s=U(b,e);a=s?R(t,s,n):{}}return i(o,a)}(t,e,0,[s,l]);return function(t){return o(r(t))}})),t.select("g.slicetext").attr("opacity",0)})).remove():t.exit().remove()},ot=function(t){var e=t.transform;return t.x0!==t.x1&&t.y0!==t.y1&&c(v.type,e,m),o.getTextTransform({textX:e.textX,textY:e.textY,anchorX:e.anchorX,anchorY:e.anchorY,targetX:e.targetX,targetY:e.targetY,scale:e.scale,rotate:e.rotate})};A&&(w.each((function(t){B[h(t)]={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1},t.transform&&(B[h(t)].transform={textX:t.transform.textX,textY:t.transform.textY,anchorX:t.transform.anchorX,anchorY:t.transform.anchorY,targetX:t.transform.targetX,targetY:t.transform.targetY,scale:t.transform.scale,rotate:t.transform.rotate})})),T.each((function(t){N[h(t)]={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1},t.transform&&(N[h(t)].transform={textX:t.transform.textX,textY:t.transform.textY,anchorX:t.transform.anchorX,anchorY:t.transform.anchorY,targetX:t.transform.targetX,targetY:t.transform.targetY,scale:t.transform.scale,rotate:t.transform.rotate}),!F&&a.isEntry(t)&&(F=t)}))),j=d(t,e,b,T,{width:L,height:C,viewX:G,viewY:Y,pathSlice:function(t){var e=G(t.x0),r=G(t.x1),n=Y(t.y0),i=Y(t.y1),a=r-e,o=i-n;if(!a||!o)return"";return"M"+K(e,n+0)+"L"+K(r-0,n)+"L"+K(r,i-0)+"L"+K(e+0,i)+"Z"},toMoveInsideSlice:et,prevEntry:F,makeUpdateSliceInterpolator:nt,makeUpdateTextInterpolator:it,handleSlicesExit:at,hasTransition:A,strTransform:ot}),v.pathbar.visible?f(t,e,b,w,{barDifY:z,width:P,height:I,viewX:Z,viewY:J,pathSlice:function(t){var e=Z(Math.max(Math.min(t.x0,t.x0),0)),r=Z(Math.min(Math.max(t.x1,t.x1),P)),n=J(t.y0),i=J(t.y1),a=I/2,o={},s={};o.x=e,s.x=r,o.y=s.y=(n+i)/2;var l={x:e,y:n},c={x:r,y:n},u={x:r,y:i},f={x:e,y:i};return">"===tt?(l.x-=a,c.x-=a,u.x-=a,f.x-=a):"/"===tt?(u.x-=a,f.x-=a,o.x-=a/2,s.x-=a/2):"\\"===tt?(l.x-=a,c.x-=a,o.x-=a/2,s.x-=a/2):"<"===tt&&(o.x-=a,s.x-=a),$(l),$(f),$(o),$(c),$(u),$(s),"M"+K(l.x,l.y)+"L"+K(c.x,c.y)+"L"+K(s.x,s.y)+"L"+K(u.x,u.y)+"L"+K(f.x,f.y)+"L"+K(o.x,o.y)+"Z"},toMoveInsideSlice:et,makeUpdateSliceInterpolator:nt,makeUpdateTextInterpolator:it,handleSlicesExit:at,hasTransition:A,strTransform:ot}):w.remove()}},{"../../lib":498,"../bar/constants":645,"../bar/plot":654,"../bar/uniform_text":659,"../sunburst/helpers":1050,"./constants":1073,"./draw_ancestors":1076,"@plotly/d3":58,"d3-interpolate":111}],1085:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../sunburst/helpers"),s=t("../bar/uniform_text").resizeText;function l(t,e,r,n){var s,l,c=(n||{}).hovered,u=e.data.data,f=u.i,h=u.color,p=o.isHierarchyRoot(e),d=1;if(c)s=r._hovered.marker.line.color,l=r._hovered.marker.line.width;else if(p&&h===r.root.color)d=100,s="rgba(0,0,0,0)",l=0;else if(s=a.castOption(r,f,"marker.line.color")||i.defaultLine,l=a.castOption(r,f,"marker.line.width")||0,!r._hasColorscale&&!e.onPathbar){var m=r.marker.depthfade;if(m){var g,v=i.combine(i.addOpacity(r._backgroundColor,.75),h);if(!0===m){var y=o.getMaxDepth(r);g=isFinite(y)?o.isLeaf(e)?0:r._maxVisibleLayers-(e.data.depth-r._entryDepth):e.data.height+1}else g=e.data.depth-r._entryDepth,r._atRootLevel||g++;if(g>0)for(var x=0;x<g;x++){var b=.5*x/g;h=i.combine(i.addOpacity(v,b),h)}}}t.style("stroke-width",l).call(i.fill,h).call(i.stroke,s).style("opacity",d)}e.exports={style:function(t){var e=t._fullLayout._treemaplayer.selectAll(".trace");s(t,e,"treemap"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(l,t,r,{hovered:!1})}))}))},styleOne:l}},{"../../components/color":361,"../../lib":498,"../bar/uniform_text":659,"../sunburst/helpers":1050,"@plotly/d3":58}],1086:[function(t,e,r){"use strict";var n=t("../box/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat;e.exports={y:n.y,x:n.x,x0:n.x0,y0:n.y0,xhoverformat:a("x"),yhoverformat:a("y"),name:i({},n.name,{}),orientation:i({},n.orientation,{}),bandwidth:{valType:"number",min:0,editType:"calc"},scalegroup:{valType:"string",dflt:"",editType:"calc"},scalemode:{valType:"enumerated",values:["width","count"],dflt:"width",editType:"calc"},spanmode:{valType:"enumerated",values:["soft","hard","manual"],dflt:"soft",editType:"calc"},span:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,points:i({},n.boxpoints,{}),jitter:i({},n.jitter,{}),pointpos:i({},n.pointpos,{}),width:i({},n.width,{}),marker:n.marker,text:n.text,hovertext:n.hovertext,hovertemplate:n.hovertemplate,box:{visible:{valType:"boolean",dflt:!1,editType:"plot"},width:{valType:"number",min:0,max:1,dflt:.25,editType:"plot"},fillcolor:{valType:"color",editType:"style"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"style"},editType:"plot"},meanline:{visible:{valType:"boolean",dflt:!1,editType:"plot"},color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"plot"},side:{valType:"enumerated",values:["both","positive","negative"],dflt:"both",editType:"calc"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,hoveron:{valType:"flaglist",flags:["violins","points","kde"],dflt:"violins+points+kde",extras:["all"],editType:"style"}}},{"../../lib/extend":488,"../../plots/cartesian/axis_format_attributes":552,"../box/attributes":668}],1087:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../box/calc"),o=t("./helpers"),s=t("../../constants/numerical").BADNUM;function l(t,e,r){var i=e.max-e.min;if(!i)return t.bandwidth?t.bandwidth:0;if(t.bandwidth)return Math.max(t.bandwidth,i/1e4);var a=r.length,o=n.stdev(r,a-1,e.mean);return Math.max(function(t,e,r){return 1.059*Math.min(e,r/1.349)*Math.pow(t,-.2)}(a,o,e.q3-e.q1),i/100)}function c(t,e,r,n){var a,o=t.spanmode,l=t.span||[],c=[e.min,e.max],u=[e.min-2*n,e.max+2*n];function f(n){var i=l[n],a="multicategory"===r.type?r.r2c(i):r.d2c(i,0,t[e.valLetter+"calendar"]);return a===s?u[n]:a}var h={type:"linear",range:a="soft"===o?u:"hard"===o?c:[f(0),f(1)]};return i.setConvert(h),h.cleanRange(),a}e.exports=function(t,e){var r=a(t,e);if(r[0].t.empty)return r;for(var s=t._fullLayout,u=i.getFromId(t,e["h"===e.orientation?"xaxis":"yaxis"]),f=1/0,h=-1/0,p=0,d=0,m=0;m<r.length;m++){var g=r[m],v=g.pts.map(o.extractVal),y=g.bandwidth=l(e,g,v),x=g.span=c(e,g,u,y);if(g.min===g.max&&0===y)x=g.span=[g.min,g.max],g.density=[{v:1,t:x[0]}],g.bandwidth=y,p=Math.max(p,1);else{var b=x[1]-x[0],_=Math.ceil(b/(y/3)),w=b/_;if(!isFinite(w)||!isFinite(_))return n.error("Something went wrong with computing the violin span"),r[0].t.empty=!0,r;var T=o.makeKDE(g,e,v);g.density=new Array(_);for(var k=0,A=x[0];A<x[1]+w/2;k++,A+=w){var M=T(A);g.density[k]={v:M,t:A},p=Math.max(p,M)}}d=Math.max(d,v.length),f=Math.min(f,x[0]),h=Math.max(h,x[1])}var S=i.findExtremes(u,[f,h],{padded:!0});if(e._extremes[u._id]=S,e.width)r[0].t.maxKDE=p;else{var E=s._violinScaleGroupStats,L=e.scalegroup,C=E[L];C?(C.maxKDE=Math.max(C.maxKDE,p),C.maxCount=Math.max(C.maxCount,d)):E[L]={maxKDE:p,maxCount:d}}return r[0].t.labels.kde=n._(t,"kde:"),r}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/axes":549,"../box/calc":669,"./helpers":1090}],1088:[function(t,e,r){"use strict";var n=t("../box/cross_trace_calc").setPositionOffset,i=["v","h"];e.exports=function(t,e){for(var r=t.calcdata,a=e.xaxis,o=e.yaxis,s=0;s<i.length;s++){for(var l=i[s],c="h"===l?o:a,u=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||"violin"!==d.type||p.empty||d.orientation!==l||d.xaxis!==a._id||d.yaxis!==o._id||u.push(f)}n("violin",t,u,c)}}},{"../box/cross_trace_calc":670}],1089:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../box/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}function c(r,i){return n.coerce2(t,e,o,r,i)}if(a.handleSampleDefaults(t,e,l,s),!1!==e.visible){l("bandwidth"),l("side"),l("width")||(l("scalegroup",e.name),l("scalemode"));var u,f=l("span");Array.isArray(f)&&(u="manual"),l("spanmode",u);var h=l("line.color",(t.marker||{}).color||r),p=l("line.width"),d=l("fillcolor",i.addOpacity(e.line.color,.5));a.handlePointsDefaults(t,e,l,{prefix:""});var m=c("box.width"),g=c("box.fillcolor",d),v=c("box.line.color",h),y=c("box.line.width",p);l("box.visible",Boolean(m||g||v||y))||(e.box={visible:!1});var x=c("meanline.color",h),b=c("meanline.width",p);l("meanline.visible",Boolean(x||b))||(e.meanline={visible:!1})}}},{"../../components/color":361,"../../lib":498,"../box/defaults":671,"./attributes":1086}],1090:[function(t,e,r){"use strict";var n=t("../../lib"),i=function(t){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*t*t)};r.makeKDE=function(t,e,r){var n=r.length,a=i,o=t.bandwidth,s=1/(n*o);return function(t){for(var e=0,i=0;i<n;i++)e+=a((t-r[i])/o);return s*e}},r.getPositionOnKdePath=function(t,e,r){var i,a;"h"===e.orientation?(i="y",a="x"):(i="x",a="y");var o=n.findPointOnPath(t.path,r,a,{pathLength:t.pathLength}),s=t.posCenterPx,l=o[i];return[l,"both"===e.side?2*s-l:s]},r.getKdeValue=function(t,e,n){var i=t.pts.map(r.extractVal);return r.makeKDE(t,e,i)(n)/t.posDensityScale},r.extractVal=function(t){return t.v}},{"../../lib":498}],1091:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../box/hover"),o=t("./helpers");e.exports=function(t,e,r,s,l){l||(l={});var c,u,f=l.hoverLayer,h=t.cd,p=h[0].trace,d=p.hoveron,m=-1!==d.indexOf("violins"),g=-1!==d.indexOf("kde"),v=[];if(m||g){var y=a.hoverOnBoxes(t,e,r,s);if(g&&y.length>0){var x,b,_,w,T,k=t.xa,A=t.ya;"h"===p.orientation?(T=e,x="y",_=A,b="x",w=k):(T=r,x="x",_=k,b="y",w=A);var M=h[t.index];if(T>=M.span[0]&&T<=M.span[1]){var S=n.extendFlat({},t),E=w.c2p(T,!0),L=o.getKdeValue(M,p,T),C=o.getPositionOnKdePath(M,p,E),P=_._offset,I=_._length;S[x+"0"]=C[0],S[x+"1"]=C[1],S[b+"0"]=S[b+"1"]=E,S[b+"Label"]=b+": "+i.hoverLabelText(w,T,p[b+"hoverformat"])+", "+h[0].t.labels.kde+" "+L.toFixed(3),S.spikeDistance=y[0].spikeDistance;var O=x+"Spike";S[O]=y[0][O],y[0].spikeDistance=void 0,y[0][O]=void 0,S.hovertemplate=!1,v.push(S),(u={stroke:t.color})[x+"1"]=n.constrain(P+C[0],P,P+I),u[x+"2"]=n.constrain(P+C[1],P,P+I),u[b+"1"]=u[b+"2"]=w._offset+E}}m&&(v=v.concat(y))}-1!==d.indexOf("points")&&(c=a.hoverOnPoints(t,e,r));var z=f.selectAll(".violinline-"+p.uid).data(u?[0]:[]);return z.enter().append("line").classed("violinline-"+p.uid,!0).attr("stroke-width",1.5),z.exit().remove(),z.attr(u),"closest"===s?c?[c]:v:c?(v.push(c),v):v}},{"../../lib":498,"../../plots/cartesian/axes":549,"../box/hover":673,"./helpers":1090}],1092:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../box/defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style"),styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../box/select"),moduleType:"trace",name:"violin",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","oriented","box-violin","showLegend","violinLayout","zoomScale"],meta:{}}},{"../../plots/cartesian":563,"../box/defaults":671,"../box/select":678,"../scatter/style":946,"./attributes":1086,"./calc":1087,"./cross_trace_calc":1088,"./defaults":1089,"./hover":1091,"./layout_attributes":1093,"./layout_defaults":1094,"./plot":1095,"./style":1096}],1093:[function(t,e,r){"use strict";var n=t("../box/layout_attributes"),i=t("../../lib").extendFlat;e.exports={violinmode:i({},n.boxmode,{}),violingap:i({},n.boxgap,{}),violingroupgap:i({},n.boxgroupgap,{})}},{"../../lib":498,"../box/layout_attributes":675}],1094:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes"),a=t("../box/layout_defaults");e.exports=function(t,e,r){a._supply(t,e,r,(function(r,a){return n.coerce(t,e,i,r,a)}),"violin")}},{"../../lib":498,"../box/layout_defaults":676,"./layout_attributes":1093}],1095:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../box/plot"),s=t("../scatter/line_points"),l=t("./helpers");e.exports=function(t,e,r,c){var u=t._fullLayout,f=e.xaxis,h=e.yaxis;function p(t){var e=s(t,{xaxis:f,yaxis:h,connectGaps:!0,baseTolerance:.75,shape:"spline",simplify:!0,linearized:!0});return a.smoothopen(e[0],1)}i.makeTraceGroups(c,r,"trace violins").each((function(t){var r=n.select(this),a=t[0],s=a.t,c=a.trace;if(!0!==c.visible||s.empty)r.remove();else{var d=s.bPos,m=s.bdPos,g=e[s.valLetter+"axis"],v=e[s.posLetter+"axis"],y="both"===c.side,x=y||"positive"===c.side,b=y||"negative"===c.side,_=r.selectAll("path.violin").data(i.identity);_.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","violin"),_.exit().remove(),_.each((function(t){var e,r,i,a,o,l,f,h,_=n.select(this),w=t.density,T=w.length,k=v.c2l(t.pos+d,!0),A=v.l2p(k);if(c.width)e=s.maxKDE/m;else{var M=u._violinScaleGroupStats[c.scalegroup];e="count"===c.scalemode?M.maxKDE/m*(M.maxCount/t.pts.length):M.maxKDE/m}if(x){for(f=new Array(T),o=0;o<T;o++)(h=f[o]={})[s.posLetter]=k+w[o].v/e,h[s.valLetter]=g.c2l(w[o].t,!0);r=p(f)}if(b){for(f=new Array(T),l=0,o=T-1;l<T;l++,o--)(h=f[l]={})[s.posLetter]=k-w[o].v/e,h[s.valLetter]=g.c2l(w[o].t,!0);i=p(f)}if(y)a=r+"L"+i.substr(1)+"Z";else{var S=[A,g.c2p(w[0].t)],E=[A,g.c2p(w[T-1].t)];"h"===c.orientation&&(S.reverse(),E.reverse()),a=x?"M"+S+"L"+r.substr(1)+"L"+E:"M"+E+"L"+i.substr(1)+"L"+S}_.attr("d",a),t.posCenterPx=A,t.posDensityScale=e*m,t.path=_.node(),t.pathLength=t.path.getTotalLength()/(y?2:1)}));var w,T,k,A=c.box,M=A.width,S=(A.line||{}).width;y?(w=m*M,T=0):x?(w=[0,m*M/2],T=S*{x:1,y:-1}[s.posLetter]):(w=[m*M/2,0],T=S*{x:-1,y:1}[s.posLetter]),o.plotBoxAndWhiskers(r,{pos:v,val:g},c,{bPos:d,bdPos:w,bPosPxOffset:T}),o.plotBoxMean(r,{pos:v,val:g},c,{bPos:d,bdPos:w,bPosPxOffset:T}),!c.box.visible&&c.meanline.visible&&(k=i.identity);var E=r.selectAll("path.meanline").data(k||[]);E.enter().append("path").attr("class","meanline").style("fill","none").style("vector-effect","non-scaling-stroke"),E.exit().remove(),E.each((function(t){var e=g.c2p(t.mean,!0),r=l.getPositionOnKdePath(t,c,e);n.select(this).attr("d","h"===c.orientation?"M"+e+","+r[0]+"V"+r[1]:"M"+r[0]+","+e+"H"+r[1])})),o.plotPoints(r,{x:f,y:h},c,s)}}))}},{"../../components/drawing":383,"../../lib":498,"../box/plot":677,"../scatter/line_points":936,"./helpers":1090,"@plotly/d3":58}],1096:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../scatter/style").stylePoints;e.exports=function(t){var e=n.select(t).selectAll("g.trace.violins");e.style("opacity",(function(t){return t[0].trace.opacity})),e.each((function(e){var r=e[0].trace,o=n.select(this),s=r.box||{},l=s.line||{},c=r.meanline||{},u=c.width;o.selectAll("path.violin").style("stroke-width",r.line.width+"px").call(i.stroke,r.line.color).call(i.fill,r.fillcolor),o.selectAll("path.box").style("stroke-width",l.width+"px").call(i.stroke,l.color).call(i.fill,s.fillcolor);var f={"stroke-width":u+"px","stroke-dasharray":2*u+"px,"+u+"px"};o.selectAll("path.mean").style(f).call(i.stroke,c.color),o.selectAll("path.meanline").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{"../../components/color":361,"../scatter/style":946,"@plotly/d3":58}],1097:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../isosurface/attributes"),a=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,xhoverformat:i.xhoverformat,yhoverformat:i.yhoverformat,zhoverformat:i.zhoverformat,valuehoverformat:i.valuehoverformat,hovertemplate:i.hovertemplate},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 0},{"../../components/colorscale/attributes":368,"../../lib/extend":488,"../../plot_api/edit_types":531,"../../plots/attributes":545,"../isosurface/attributes":857,"../surface/attributes":1056}],1098:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=t("../isosurface/convert").findNearestOnAxis,c=t("../isosurface/convert").generateIsoMeshes;function u(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var f=u.prototype;f.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=c(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,opacityscale:t.opacityscale,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},u=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[u.min,u.max],l.colormap=i(t),this.mesh.update(l)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new u(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../../stackgl_modules":1119,"../../components/colorscale":373,"../../lib/gl_format_color":494,"../../lib/str2rgbarray":523,"../../plots/gl3d/zip3":604,"../isosurface/convert":859}],1099:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../isosurface/defaults").supplyIsoDefaults,o=t("../surface/defaults").opacityscaleDefaults;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}a(t,e,r,s,l),o(t,e,s,l)}},{"../../lib":498,"../isosurface/defaults":860,"../surface/defaults":1059,"./attributes":1097}],1100:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../isosurface/calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert"),moduleType:"trace",name:"volume",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":593,"../isosurface/calc":858,"./attributes":1097,"./convert":1098,"./defaults":1099}],1101:[function(t,e,r){"use strict";var n=t("../bar/attributes"),i=t("../scatter/attributes").line,a=t("../../plots/attributes"),o=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/template_attributes").texttemplateAttrs,c=t("./constants"),u=t("../../lib/extend").extendFlat,f=t("../../components/color");function h(t){return{marker:{color:u({},n.marker.color,{arrayOk:!1,editType:"style"}),line:{color:u({},n.marker.line.color,{arrayOk:!1,editType:"style"}),width:u({},n.marker.line.width,{arrayOk:!1,editType:"style"}),editType:"style"},editType:"style"},editType:"style"}}e.exports={measure:{valType:"data_array",dflt:[],editType:"calc"},base:{valType:"number",dflt:null,arrayOk:!1,editType:"calc"},x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:o("x"),yhoverformat:o("y"),hovertext:n.hovertext,hovertemplate:s({},{keys:c.eventDataKeys}),hoverinfo:u({},a.hoverinfo,{flags:["name","x","y","text","initial","delta","final"]}),textinfo:{valType:"flaglist",flags:["label","text","initial","delta","final"],extras:["none"],editType:"plot",arrayOk:!1},texttemplate:l({editType:"plot"},{keys:c.eventDataKeys.concat(["label"])}),text:n.text,textposition:n.textposition,insidetextanchor:n.insidetextanchor,textangle:n.textangle,textfont:n.textfont,insidetextfont:n.insidetextfont,outsidetextfont:n.outsidetextfont,constraintext:n.constraintext,cliponaxis:n.cliponaxis,orientation:n.orientation,offset:n.offset,width:n.width,increasing:h(),decreasing:h(),totals:h(),connector:{line:{color:u({},i.color,{dflt:f.defaultLine}),width:u({},i.width,{editType:"plot"}),dash:i.dash,editType:"plot"},mode:{valType:"enumerated",values:["spanning","between"],dflt:"between",editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup}},{"../../components/color":361,"../../lib/extend":488,"../../plots/attributes":545,"../../plots/cartesian/axis_format_attributes":552,"../../plots/template_attributes":628,"../bar/attributes":643,"../scatter/attributes":922,"./constants":1103}],1102:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("../../lib").mergeArray,o=t("../scatter/calc_selection"),s=t("../../constants/numerical").BADNUM;function l(t){return"a"===t||"absolute"===t}function c(t){return"t"===t||"total"===t}e.exports=function(t,e){var r,u,f,h,p,d,m=n.getFromId(t,e.xaxis||"x"),g=n.getFromId(t,e.yaxis||"y");"h"===e.orientation?(r=m.makeCalcdata(e,"x"),f=g.makeCalcdata(e,"y"),h=i(e,g,"y",f),p=!!e.yperiodalignment,d="y"):(r=g.makeCalcdata(e,"y"),f=m.makeCalcdata(e,"x"),h=i(e,m,"x",f),p=!!e.xperiodalignment,d="x"),u=h.vals;for(var v,y=Math.min(u.length,r.length),x=new Array(y),b=0,_=!1,w=0;w<y;w++){var T=r[w]||0,k=!1;(r[w]!==s||c(e.measure[w])||l(e.measure[w]))&&w+1<y&&(r[w+1]!==s||c(e.measure[w+1])||l(e.measure[w+1]))&&(k=!0);var A=x[w]={i:w,p:u[w],s:T,rawS:T,cNext:k};l(e.measure[w])?(b=A.s,A.isSum=!0,A.dir="totals",A.s=b):c(e.measure[w])?(A.isSum=!0,A.dir="totals",A.s=b):(A.isSum=!1,A.dir=A.rawS<0?"decreasing":"increasing",v=A.s,A.s=b+v,b+=v),"totals"===A.dir&&(_=!0),p&&(x[w].orig_p=f[w],x[w][d+"End"]=h.ends[w],x[w][d+"Start"]=h.starts[w]),e.ids&&(A.id=String(e.ids[w])),A.v=(e.base||0)+b}return x.length&&(x[0].hasTotals=_),a(e.text,x,"tx"),a(e.hovertext,x,"htx"),o(x,e),x}},{"../../constants/numerical":474,"../../lib":498,"../../plots/cartesian/align_period":546,"../../plots/cartesian/axes":549,"../scatter/calc_selection":924}],1103:[function(t,e,r){"use strict";e.exports={eventDataKeys:["initial","delta","final"]}},{}],1104:[function(t,e,r){"use strict";var n=t("../bar/cross_trace_calc").setGroupPositions;e.exports=function(t,e){var r,i,a=t._fullLayout,o=t._fullData,s=t.calcdata,l=e.xaxis,c=e.yaxis,u=[],f=[],h=[];for(i=0;i<o.length;i++){var p=o[i];!0===p.visible&&p.xaxis===l._id&&p.yaxis===c._id&&"waterfall"===p.type&&(r=s[i],"h"===p.orientation?h.push(r):f.push(r),u.push(r))}var d={mode:a.waterfallmode,norm:a.waterfallnorm,gap:a.waterfallgap,groupgap:a.waterfallgroupgap};for(n(t,l,c,f,d),n(t,c,l,h,d),i=0;i<u.length;i++){r=u[i];for(var m=0;m<r.length;m++){var g=r[m];!1===g.isSum&&(g.s0+=0===m?0:r[m-1].s),m+1<r.length&&(r[m].nextP0=r[m+1].p0,r[m].nextS0=r[m+1].s0)}}}},{"../bar/cross_trace_calc":646}],1105:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../bar/defaults").handleGroupingDefaults,a=t("../bar/defaults").handleText,o=t("../scatter/xy_defaults"),s=t("../scatter/period_defaults"),l=t("./attributes"),c=t("../../components/color"),u=t("../../constants/delta.js"),f=u.INCREASING.COLOR,h=u.DECREASING.COLOR;function p(t,e,r){t(e+".marker.color",r),t(e+".marker.line.color",c.defaultLine),t(e+".marker.line.width")}e.exports={supplyDefaults:function(t,e,r,i){function c(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,c)){s(t,e,i,c),c("xhoverformat"),c("yhoverformat"),c("measure"),c("orientation",e.x&&!e.y?"h":"v"),c("base"),c("offset"),c("width"),c("text"),c("hovertext"),c("hovertemplate");var u=c("textposition");if(a(t,e,i,c,u,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),"none"!==e.textposition&&(c("texttemplate"),e.texttemplate||c("textinfo")),p(c,"increasing",f),p(c,"decreasing",h),p(c,"totals","#4499FF"),c("connector.visible"))c("connector.mode"),c("connector.line.width")&&(c("connector.line.color"),c("connector.line.dash"))}else e.visible=!1},crossTraceDefaults:function(t,e){var r,a;function o(t){return n.coerce(a._input,a,l,t)}if("group"===e.waterfallmode)for(var s=0;s<t.length;s++)r=(a=t[s])._input,i(r,a,e,o)}}},{"../../components/color":361,"../../constants/delta.js":468,"../../lib":498,"../bar/defaults":647,"../scatter/period_defaults":942,"../scatter/xy_defaults":949,"./attributes":1101}],1106:[function(t,e,r){"use strict";e.exports=function(t,e){return t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,"initial"in e&&(t.initial=e.initial),"delta"in e&&(t.delta=e.delta),"final"in e&&(t.final=e.final),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],1107:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes").hoverLabelText,i=t("../../components/color").opacity,a=t("../bar/hover").hoverOnBars,o=t("../../constants/delta.js"),s=o.INCREASING.SYMBOL,l=o.DECREASING.SYMBOL;e.exports=function(t,e,r,o,c){var u=a(t,e,r,o,c);if(u){var f=u.cd,h=f[0].trace,p="h"===h.orientation,d=p?"x":"y",m=p?t.xa:t.ya,g=f[u.index],v=g.isSum?g.b+g.s:g.rawS;if(!g.isSum){u.initial=g.b+g.s-v,u.delta=v,u.final=u.initial+u.delta;var y=k(Math.abs(u.delta));u.deltaLabel=v<0?"("+y+")":y,u.finalLabel=k(u.final),u.initialLabel=k(u.initial)}var x=g.hi||h.hoverinfo,b=[];if(x&&"none"!==x&&"skip"!==x){var _="all"===x,w=x.split("+"),T=function(t){return _||-1!==w.indexOf(t)};g.isSum||(!T("final")||T(p?"x":"y")||b.push(u.finalLabel),T("delta")&&(v<0?b.push(u.deltaLabel+" "+l):b.push(u.deltaLabel+" "+s)),T("initial")&&b.push("Initial: "+u.initialLabel))}return b.length&&(u.extraText=b.join("<br>")),u.color=function(t,e){var r=t[e.dir].marker,n=r.color,a=r.line.color,o=r.line.width;if(i(n))return n;if(i(a)&&o)return a}(h,g),[u]}function k(t){return n(m,t,h[d+"hoverformat"])}}},{"../../components/color":361,"../../constants/delta.js":468,"../../plots/cartesian/axes":549,"../bar/hover":650}],1108:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style").style,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("../bar/select"),moduleType:"trace",name:"waterfall",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","oriented","showLegend","zoomScale"],meta:{}}},{"../../plots/cartesian":563,"../bar/select":655,"./attributes":1101,"./calc":1102,"./cross_trace_calc":1104,"./defaults":1105,"./event_data":1106,"./hover":1107,"./layout_attributes":1109,"./layout_defaults":1110,"./plot":1111,"./style":1112}],1109:[function(t,e,r){"use strict";e.exports={waterfallmode:{valType:"enumerated",values:["group","overlay"],dflt:"group",editType:"calc"},waterfallgap:{valType:"number",min:0,max:1,editType:"calc"},waterfallgroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],1110:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s<r.length;s++){var l=r[s];if(l.visible&&"waterfall"===l.type){a=!0;break}}a&&(o("waterfallmode"),o("waterfallgap",.2),o("waterfallgroupgap"))}},{"../../lib":498,"./layout_attributes":1109}],1111:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../constants/numerical").BADNUM,s=t("../bar/plot"),l=t("../bar/uniform_text").clearMinTextSize;e.exports=function(t,e,r,c){var u=t._fullLayout;l("waterfall",u),s.plot(t,e,r,c,{mode:u.waterfallmode,norm:u.waterfallmode,gap:u.waterfallgap,groupgap:u.waterfallgroupgap}),function(t,e,r,s){var l=e.xaxis,c=e.yaxis;i.makeTraceGroups(s,r,"trace bars").each((function(r){var s=n.select(this),u=r[0].trace,f=i.ensureSingle(s,"g","lines");if(u.connector&&u.connector.visible){var h="h"===u.orientation,p=u.connector.mode,d=f.selectAll("g.line").data(i.identity);d.enter().append("g").classed("line",!0),d.exit().remove();var m=d.size();d.each((function(r,s){if(s===m-1||r.cNext){var u=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),i[2]=o.c2p(t.nextS0,!0),a[2]=s.c2p(t.nextP0,!0),n?[i,a]:[a,i]}(r,l,c,h),f=u[0],d=u[1],g="";f[0]!==o&&d[0]!==o&&f[1]!==o&&d[1]!==o&&("spanning"===p&&!r.isSum&&s>0&&(g+=h?"M"+f[0]+","+d[1]+"V"+d[0]:"M"+f[1]+","+d[0]+"H"+f[0]),"between"!==p&&(r.isSum||s<m-1)&&(g+=h?"M"+f[1]+","+d[0]+"V"+d[1]:"M"+f[0]+","+d[1]+"H"+f[1]),f[2]!==o&&d[2]!==o&&(g+=h?"M"+f[1]+","+d[1]+"V"+d[2]:"M"+f[1]+","+d[1]+"H"+f[2])),""===g&&(g="M0,0Z"),i.ensureSingle(n.select(this),"path").attr("d",g).call(a.setClipUrl,e.layerClipId,t)}}))}else f.remove()}))}(t,e,r,c)}},{"../../components/drawing":383,"../../constants/numerical":474,"../../lib":498,"../bar/plot":654,"../bar/uniform_text":659,"@plotly/d3":58}],1112:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color"),o=t("../../constants/interactions").DESELECTDIM,s=t("../bar/style"),l=t("../bar/uniform_text").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,r){var s=r||n.select(t).selectAll("g.waterfalllayer").selectAll("g.trace");l(t,s,"waterfall"),s.style("opacity",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(".point > path").each((function(t){if(!t.isBlank){var e=s[t.dir].marker;n.select(this).call(a.fill,e.color).call(a.stroke,e.line.color).call(i.dashLine,e.line.dash,e.line.width).style("opacity",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(".lines").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll("path"),t.width,t.color,t.dash)}))}))}}},{"../../components/color":361,"../../components/drawing":383,"../../constants/interactions":473,"../bar/style":657,"../bar/uniform_text":659,"@plotly/d3":58}],1113:[function(t,e,r){"use strict";var n=t("../plots/cartesian/axes"),i=t("../lib"),a=t("../plot_api/plot_schema"),o=t("./helpers").pointsAccessorFunction,s=t("../constants/numerical").BADNUM;r.moduleType="transform",r.name="aggregate";var l=r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},groups:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},aggregations:{_isLinkedToArray:"aggregation",target:{valType:"string",editType:"calc"},func:{valType:"enumerated",values:["count","sum","avg","median","mode","rms","stddev","min","max","first","last","change","range"],dflt:"first",editType:"calc"},funcmode:{valType:"enumerated",values:["sample","population"],dflt:"sample",editType:"calc"},enabled:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},editType:"calc"},c=l.aggregations;function u(t,e,r,a){if(a.enabled){for(var o=a.target,l=i.nestedProperty(e,o),c=l.get(),u=function(t,e){var r=t.func,n=e.d2c,a=e.c2d;switch(r){case"count":return f;case"first":return h;case"last":return p;case"sum":return function(t,e){for(var r=0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r+=o)}return a(r)};case"avg":return function(t,e){for(var r=0,i=0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r+=l,i++)}return i?a(r/i):s};case"min":return function(t,e){for(var r=1/0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r=Math.min(r,o))}return r===1/0?s:a(r)};case"max":return function(t,e){for(var r=-1/0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r=Math.max(r,o))}return r===-1/0?s:a(r)};case"range":return function(t,e){for(var r=1/0,i=-1/0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r=Math.min(r,l),i=Math.max(i,l))}return i===-1/0||r===1/0?s:a(i-r)};case"change":return function(t,e){var r=n(t[e[0]]),i=n(t[e[e.length-1]]);return r===s||i===s?s:a(i-r)};case"median":return function(t,e){for(var r=[],o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&r.push(l)}if(!r.length)return s;r.sort(i.sorterAsc);var c=(r.length-1)/2;return a((r[Math.floor(c)]+r[Math.ceil(c)])/2)};case"mode":return function(t,e){for(var r={},i=0,o=s,l=0;l<e.length;l++){var c=n(t[e[l]]);if(c!==s){var u=r[c]=(r[c]||0)+1;u>i&&(i=u,o=c)}}return i?a(o):s};case"rms":return function(t,e){for(var r=0,i=0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r+=l*l,i++)}return i?a(Math.sqrt(r/i)):s};case"stddev":return function(e,r){var i,a=0,o=0,l=1,c=s;for(i=0;i<r.length&&c===s;i++)c=n(e[r[i]]);if(c===s)return s;for(;i<r.length;i++){var u=n(e[r[i]]);if(u!==s){var f=u-c;a+=f,o+=f*f,l++}}var h="sample"===t.funcmode?l-1:l;return h?Math.sqrt((o-a*a/l)/h):0}}}(a,n.getDataConversions(t,e,o,c)),d=new Array(r.length),m=0;m<r.length;m++)d[m]=u(c,r[m]);l.set(d),"count"===a.func&&i.pushUnique(e._arrayAttrs,o)}}function f(t,e){return e.length}function h(t,e){return t[e[0]]}function p(t,e){return t[e[e.length-1]]}r.supplyDefaults=function(t,e){var r,n={};function o(e,r){return i.coerce(t,n,l,e,r)}if(!o("enabled"))return n;var s=a.findArrayAttributes(e),u={};for(r=0;r<s.length;r++)u[s[r]]=1;var f=o("groups");if(!Array.isArray(f)){if(!u[f])return n.enabled=!1,n;u[f]=0}var h,p=t.aggregations||[],d=n.aggregations=new Array(p.length);function m(t,e){return i.coerce(p[r],h,c,t,e)}for(r=0;r<p.length;r++){h={_index:r};var g=m("target"),v=m("func");m("enabled")&&g&&(u[g]||"count"===v&&void 0===u[g])?("stddev"===v&&m("funcmode"),u[g]=0,d[r]=h):d[r]={enabled:!1,_index:r}}for(r=0;r<s.length;r++)u[s[r]]&&d.push({target:s[r],func:c.func.dflt,enabled:!0,_index:-1});return n},r.calcTransform=function(t,e,r){if(r.enabled){var n=r.groups,a=i.getTargetArray(e,{target:n});if(a){var s,l,c,f,h={},p={},d=[],m=o(e.transforms,r),g=a.length;for(e._length&&(g=Math.min(g,e._length)),s=0;s<g;s++)void 0===(c=h[l=a[s]])?(h[l]=d.length,f=[s],d.push(f),p[h[l]]=m(s)):(d[c].push(s),p[h[l]]=(p[h[l]]||[]).concat(m(s)));r._indexToPoints=p;var v=r.aggregations;for(s=0;s<v.length;s++)u(t,e,d,v[s]);"string"==typeof n&&u(t,e,d,{target:n,func:"first",enabled:!0}),e._length=d.length}}}},{"../constants/numerical":474,"../lib":498,"../plot_api/plot_schema":537,"../plots/cartesian/axes":549,"./helpers":1116}],1114:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../registry"),a=t("../plots/cartesian/axes"),o=t("./helpers").pointsAccessorFunction,s=t("../constants/filter_ops"),l=s.COMPARISON_OPS,c=s.INTERVAL_OPS,u=s.SET_OPS;r.moduleType="transform",r.name="filter",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},target:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},operation:{valType:"enumerated",values:[].concat(l).concat(c).concat(u),dflt:"=",editType:"calc"},value:{valType:"any",dflt:0,editType:"calc"},preservegaps:{valType:"boolean",dflt:!1,editType:"calc"},editType:"calc"},r.supplyDefaults=function(t){var e={};function a(i,a){return n.coerce(t,e,r.attributes,i,a)}if(a("enabled")){var o=a("target");if(n.isArrayOrTypedArray(o)&&0===o.length)return e.enabled=!1,e;a("preservegaps"),a("operation"),a("value");var s=i.getComponentMethod("calendars","handleDefaults");s(t,e,"valuecalendar",null),s(t,e,"targetcalendar",null)}return e},r.calcTransform=function(t,e,r){if(r.enabled){var i=n.getTargetArray(e,r);if(i){var s=r.target,f=i.length;e._length&&(f=Math.min(f,e._length));var h=r.targetcalendar,p=e._arrayAttrs,d=r.preservegaps;if("string"==typeof s){var m=n.nestedProperty(e,s+"calendar").get();m&&(h=m)}var g,v,y=function(t,e,r){var n=t.operation,i=t.value,a=Array.isArray(i);function o(t){return-1!==t.indexOf(n)}var s,f=function(r){return e(r,0,t.valuecalendar)},h=function(t){return e(t,0,r)};o(l)?s=f(a?i[0]:i):o(c)?s=a?[f(i[0]),f(i[1])]:[f(i),f(i)]:o(u)&&(s=a?i.map(f):[f(i)]);switch(n){case"=":return function(t){return h(t)===s};case"!=":return function(t){return h(t)!==s};case"<":return function(t){return h(t)<s};case"<=":return function(t){return h(t)<=s};case">":return function(t){return h(t)>s};case">=":return function(t){return h(t)>=s};case"[]":return function(t){var e=h(t);return e>=s[0]&&e<=s[1]};case"()":return function(t){var e=h(t);return e>s[0]&&e<s[1]};case"[)":return function(t){var e=h(t);return e>=s[0]&&e<s[1]};case"(]":return function(t){var e=h(t);return e>s[0]&&e<=s[1]};case"][":return function(t){var e=h(t);return e<=s[0]||e>=s[1]};case")(":return function(t){var e=h(t);return e<s[0]||e>s[1]};case"](":return function(t){var e=h(t);return e<=s[0]||e>s[1]};case")[":return function(t){var e=h(t);return e<s[0]||e>=s[1]};case"{}":return function(t){return-1!==s.indexOf(h(t))};case"}{":return function(t){return-1===s.indexOf(h(t))}}}(r,a.getDataToCoordFunc(t,e,s,i),h),x={},b={},_=0;d?(g=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set(new Array(f))},v=function(t,e){var r=x[t.astr][e];t.get()[e]=r}):(g=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set([])},v=function(t,e){var r=x[t.astr][e];t.get().push(r)}),k(g);for(var w=o(e.transforms,r),T=0;T<f;T++){y(i[T])?(k(v,T),b[_++]=w(T)):d&&_++}r._indexToPoints=b,e._length=_}}function k(t,r){for(var i=0;i<p.length;i++){t(n.nestedProperty(e,p[i]),r)}}}},{"../constants/filter_ops":470,"../lib":498,"../plots/cartesian/axes":549,"../registry":633,"./helpers":1116}],1115:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_schema"),a=t("../plots/plots"),o=t("./helpers").pointsAccessorFunction;function s(t,e){var r,s,l,c,u,f,h,p,d,m,g=e.transform,v=e.transformIndex,y=t.transforms[v].groups,x=o(t.transforms,g);if(!n.isArrayOrTypedArray(y)||0===y.length)return[t];var b=n.filterUnique(y),_=new Array(b.length),w=y.length,T=i.findArrayAttributes(t),k=g.styles||[],A={};for(r=0;r<k.length;r++)A[k[r].target]=k[r].value;g.styles&&(m=n.keyedContainer(g,"styles","target","value.name"));var M={},S={};for(r=0;r<b.length;r++){M[f=b[r]]=r,S[f]=0,(h=_[r]=n.extendDeepNoArrays({},t))._group=f,h.transforms[v]._indexToPoints={};var E=null;for(m&&(E=m.get(f)),h.name=E||""===E?E:n.templateString(g.nameformat,{trace:t.name,group:f}),p=h.transforms,h.transforms=[],s=0;s<p.length;s++)h.transforms[s]=n.extendDeepNoArrays({},p[s]);for(s=0;s<T.length;s++)n.nestedProperty(h,T[s]).set([])}for(l=0;l<T.length;l++){for(c=T[l],s=0,d=[];s<b.length;s++)d[s]=n.nestedProperty(_[s],c).get();for(u=n.nestedProperty(t,c).get(),s=0;s<w;s++)d[M[y[s]]].push(u[s])}for(s=0;s<w;s++){(h=_[M[y[s]]]).transforms[v]._indexToPoints[S[y[s]]]=x(s),S[y[s]]++}for(r=0;r<b.length;r++)f=b[r],h=_[r],a.clearExpandedTraceDefaultColors(h),h=n.extendDeepNoArrays(h,A[f]||{});return _}r.moduleType="transform",r.name="groupby",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},groups:{valType:"data_array",dflt:[],editType:"calc"},nameformat:{valType:"string",editType:"calc"},styles:{_isLinkedToArray:"style",target:{valType:"string",editType:"calc"},value:{valType:"any",dflt:{},editType:"calc",_compareAsJSON:!0},editType:"calc"},editType:"calc"},r.supplyDefaults=function(t,e,i){var a,o={};function s(e,i){return n.coerce(t,o,r.attributes,e,i)}if(!s("enabled"))return o;s("groups"),s("nameformat",i._dataLength>1?"%{group} (%{trace})":"%{group}");var l=t.styles,c=o.styles=[];if(l)for(a=0;a<l.length;a++){var u=c[a]={};n.coerce(l[a],c[a],r.attributes.styles,"target");var f=n.coerce(l[a],c[a],r.attributes.styles,"value");n.isPlainObject(f)?u.value=n.extendDeep({},f):f&&delete u.value}return o},r.transform=function(t,e){var r,n,i,a=[];for(n=0;n<t.length;n++)for(r=s(t[n],e),i=0;i<r.length;i++)a.push(r[i]);return a}},{"../lib":498,"../plot_api/plot_schema":537,"../plots/plots":614,"./helpers":1116}],1116:[function(t,e,r){"use strict";r.pointsAccessorFunction=function(t,e){for(var r,n,i=0;i<t.length&&(r=t[i])!==e;i++)r._indexToPoints&&!1!==r.enabled&&(n=r._indexToPoints);return n?function(t){return n[t]}:function(t){return[t]}}},{}],1117:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plots/cartesian/axes"),a=t("./helpers").pointsAccessorFunction,o=t("../constants/numerical").BADNUM;r.moduleType="transform",r.name="sort",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},target:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},order:{valType:"enumerated",values:["ascending","descending"],dflt:"ascending",editType:"calc"},editType:"calc"},r.supplyDefaults=function(t){var e={};function i(i,a){return n.coerce(t,e,r.attributes,i,a)}return i("enabled")&&(i("target"),i("order")),e},r.calcTransform=function(t,e,r){if(r.enabled){var s=n.getTargetArray(e,r);if(s){var l=r.target,c=s.length;e._length&&(c=Math.min(c,e._length));var u,f,h=e._arrayAttrs,p=function(t,e,r,n){var i,a=new Array(n),s=new Array(n);for(i=0;i<n;i++)a[i]={v:e[i],i:i};for(a.sort(function(t,e){switch(t.order){case"ascending":return function(t,r){var n=e(t.v),i=e(r.v);return n===o?1:i===o?-1:n-i};case"descending":return function(t,r){var n=e(t.v),i=e(r.v);return n===o?1:i===o?-1:i-n}}}(t,r)),i=0;i<n;i++)s[i]=a[i].i;return s}(r,s,i.getDataToCoordFunc(t,e,l,s),c),d=a(e.transforms,r),m={};for(u=0;u<h.length;u++){var g=n.nestedProperty(e,h[u]),v=g.get(),y=new Array(c);for(f=0;f<c;f++)y[f]=v[p[f]];g.set(y)}for(f=0;f<c;f++)m[f]=d(p[f]);r._indexToPoints=m,e._length=c}}}},{"../constants/numerical":474,"../lib":498,"../plots/cartesian/axes":549,"./helpers":1116}],1118:[function(t,e,r){"use strict";r.version="2.11.1"},{}],1119:[function(t,e,r){(function(n){(function(){!function(t){"object"==typeof r&&void 0!==e?e.exports=t():("undefined"!=typeof window?window:void 0!==n?n:"undefined"!=typeof self?self:this).stackgl=t()}((function(){return function e(r,n,i){function a(s,l){if(!n[s]){if(!r[s]){var c="function"==typeof t&&t;if(!l&&c)return c(s,!0);if(o)return o(s,!0);var u=new Error("Cannot find module '"+s+"'");throw u.code="MODULE_NOT_FOUND",u}var f=n[s]={exports:{}};r[s][0].call(f.exports,(function(t){return a(r[s][1][t]||t)}),f,f.exports,e,r,n,i)}return n[s].exports}for(var o="function"==typeof t&&t,s=0;s<i.length;s++)a(i[s]);return a}({1:[function(t,e,r){"use strict";r.byteLength=function(t){var e=c(t),r=e[0],n=e[1];return 3*(r+n)/4-n},r.toByteArray=function(t){var e,r,n=c(t),o=n[0],s=n[1],l=new a(function(t,e,r){return 3*(e+r)/4-r}(0,o,s)),u=0,f=s>0?o-4:o;for(r=0;r<f;r+=4)e=i[t.charCodeAt(r)]<<18|i[t.charCodeAt(r+1)]<<12|i[t.charCodeAt(r+2)]<<6|i[t.charCodeAt(r+3)],l[u++]=e>>16&255,l[u++]=e>>8&255,l[u++]=255&e;2===s&&(e=i[t.charCodeAt(r)]<<2|i[t.charCodeAt(r+1)]>>4,l[u++]=255&e);1===s&&(e=i[t.charCodeAt(r)]<<10|i[t.charCodeAt(r+1)]<<4|i[t.charCodeAt(r+2)]>>2,l[u++]=e>>8&255,l[u++]=255&e);return l},r.fromByteArray=function(t){for(var e,r=t.length,i=r%3,a=[],o=0,s=r-i;o<s;o+=16383)a.push(u(t,o,o+16383>s?s:o+16383));1===i?(e=t[r-1],a.push(n[e>>2]+n[e<<4&63]+"==")):2===i&&(e=(t[r-2]<<8)+t[r-1],a.push(n[e>>10]+n[e>>4&63]+n[e<<2&63]+"="));return a.join("")};for(var n=[],i=[],a="undefined"!=typeof Uint8Array?Uint8Array:Array,o="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",s=0,l=o.length;s<l;++s)n[s]=o[s],i[o.charCodeAt(s)]=s;function c(t){var e=t.length;if(e%4>0)throw new Error("Invalid string. Length must be a multiple of 4");var r=t.indexOf("=");return-1===r&&(r=e),[r,r===e?0:4-r%4]}function u(t,e,r){for(var i,a,o=[],s=e;s<r;s+=3)i=(t[s]<<16&16711680)+(t[s+1]<<8&65280)+(255&t[s+2]),o.push(n[(a=i)>>18&63]+n[a>>12&63]+n[a>>6&63]+n[63&a]);return o.join("")}i["-".charCodeAt(0)]=62,i["_".charCodeAt(0)]=63},{}],2:[function(t,e,r){},{}],3:[function(t,e,r){(function(e){(function(){
+"use strict";var n=t("base64-js"),i=t("ieee754");r.Buffer=e,r.SlowBuffer=function(t){+t!=t&&(t=0);return e.alloc(+t)},r.INSPECT_MAX_BYTES=50;function a(t){if(t>2147483647)throw new RangeError('The value "'+t+'" is invalid for option "size"');var r=new Uint8Array(t);return r.__proto__=e.prototype,r}function e(t,e,r){if("number"==typeof t){if("string"==typeof e)throw new TypeError('The "string" argument must be of type string. Received type number');return l(t)}return o(t,e,r)}function o(t,r,n){if("string"==typeof t)return function(t,r){"string"==typeof r&&""!==r||(r="utf8");if(!e.isEncoding(r))throw new TypeError("Unknown encoding: "+r);var n=0|h(t,r),i=a(n),o=i.write(t,r);o!==n&&(i=i.slice(0,o));return i}(t,r);if(ArrayBuffer.isView(t))return c(t);if(null==t)throw TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type "+typeof t);if(B(t,ArrayBuffer)||t&&B(t.buffer,ArrayBuffer))return function(t,r,n){if(r<0||t.byteLength<r)throw new RangeError('"offset" is outside of buffer bounds');if(t.byteLength<r+(n||0))throw new RangeError('"length" is outside of buffer bounds');var i;i=void 0===r&&void 0===n?new Uint8Array(t):void 0===n?new Uint8Array(t,r):new Uint8Array(t,r,n);return i.__proto__=e.prototype,i}(t,r,n);if("number"==typeof t)throw new TypeError('The "value" argument must not be of type number. Received type number');var i=t.valueOf&&t.valueOf();if(null!=i&&i!==t)return e.from(i,r,n);var o=function(t){if(e.isBuffer(t)){var r=0|u(t.length),n=a(r);return 0===n.length||t.copy(n,0,0,r),n}if(void 0!==t.length)return"number"!=typeof t.length||N(t.length)?a(0):c(t);if("Buffer"===t.type&&Array.isArray(t.data))return c(t.data)}(t);if(o)return o;if("undefined"!=typeof Symbol&&null!=Symbol.toPrimitive&&"function"==typeof t[Symbol.toPrimitive])return e.from(t[Symbol.toPrimitive]("string"),r,n);throw new TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type "+typeof t)}function s(t){if("number"!=typeof t)throw new TypeError('"size" argument must be of type number');if(t<0)throw new RangeError('The value "'+t+'" is invalid for option "size"')}function l(t){return s(t),a(t<0?0:0|u(t))}function c(t){for(var e=t.length<0?0:0|u(t.length),r=a(e),n=0;n<e;n+=1)r[n]=255&t[n];return r}function u(t){if(t>=2147483647)throw new RangeError("Attempt to allocate Buffer larger than maximum size: 0x"+2147483647..toString(16)+" bytes");return 0|t}function h(t,r){if(e.isBuffer(t))return t.length;if(ArrayBuffer.isView(t)||B(t,ArrayBuffer))return t.byteLength;if("string"!=typeof t)throw new TypeError('The "string" argument must be one of type string, Buffer, or ArrayBuffer. Received type '+typeof t);var n=t.length,i=arguments.length>2&&!0===arguments[2];if(!i&&0===n)return 0;for(var a=!1;;)switch(r){case"ascii":case"latin1":case"binary":return n;case"utf8":case"utf-8":return D(t).length;case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return 2*n;case"hex":return n>>>1;case"base64":return R(t).length;default:if(a)return i?-1:D(t).length;r=(""+r).toLowerCase(),a=!0}}function f(t,e,r){var n=!1;if((void 0===e||e<0)&&(e=0),e>this.length)return"";if((void 0===r||r>this.length)&&(r=this.length),r<=0)return"";if((r>>>=0)<=(e>>>=0))return"";for(t||(t="utf8");;)switch(t){case"hex":return A(this,e,r);case"utf8":case"utf-8":return T(this,e,r);case"ascii":return k(this,e,r);case"latin1":case"binary":return M(this,e,r);case"base64":return w(this,e,r);case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return S(this,e,r);default:if(n)throw new TypeError("Unknown encoding: "+t);t=(t+"").toLowerCase(),n=!0}}function p(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function d(t,r,n,i,a){if(0===t.length)return-1;if("string"==typeof n?(i=n,n=0):n>2147483647?n=2147483647:n<-2147483648&&(n=-2147483648),N(n=+n)&&(n=a?0:t.length-1),n<0&&(n=t.length+n),n>=t.length){if(a)return-1;n=t.length-1}else if(n<0){if(!a)return-1;n=0}if("string"==typeof r&&(r=e.from(r,i)),e.isBuffer(r))return 0===r.length?-1:g(t,r,n,i,a);if("number"==typeof r)return r&=255,"function"==typeof Uint8Array.prototype.indexOf?a?Uint8Array.prototype.indexOf.call(t,r,n):Uint8Array.prototype.lastIndexOf.call(t,r,n):g(t,[r],n,i,a);throw new TypeError("val must be string, number or Buffer")}function g(t,e,r,n,i){var a,o=1,s=t.length,l=e.length;if(void 0!==n&&("ucs2"===(n=String(n).toLowerCase())||"ucs-2"===n||"utf16le"===n||"utf-16le"===n)){if(t.length<2||e.length<2)return-1;o=2,s/=2,l/=2,r/=2}function c(t,e){return 1===o?t[e]:t.readUInt16BE(e*o)}if(i){var u=-1;for(a=r;a<s;a++)if(c(t,a)===c(e,-1===u?0:a-u)){if(-1===u&&(u=a),a-u+1===l)return u*o}else-1!==u&&(a-=a-u),u=-1}else for(r+l>s&&(r=s-l),a=r;a>=0;a--){for(var h=!0,f=0;f<l;f++)if(c(t,a+f)!==c(e,f)){h=!1;break}if(h)return a}return-1}function m(t,e,r,n){r=Number(r)||0;var i=t.length-r;n?(n=Number(n))>i&&(n=i):n=i;var a=e.length;n>a/2&&(n=a/2);for(var o=0;o<n;++o){var s=parseInt(e.substr(2*o,2),16);if(N(s))return o;t[r+o]=s}return o}function v(t,e,r,n){return F(D(e,t.length-r),t,r,n)}function y(t,e,r,n){return F(function(t){for(var e=[],r=0;r<t.length;++r)e.push(255&t.charCodeAt(r));return e}(e),t,r,n)}function x(t,e,r,n){return y(t,e,r,n)}function b(t,e,r,n){return F(R(e),t,r,n)}function _(t,e,r,n){return F(function(t,e){for(var r,n,i,a=[],o=0;o<t.length&&!((e-=2)<0);++o)r=t.charCodeAt(o),n=r>>8,i=r%256,a.push(i),a.push(n);return a}(e,t.length-r),t,r,n)}function w(t,e,r){return 0===e&&r===t.length?n.fromByteArray(t):n.fromByteArray(t.slice(e,r))}function T(t,e,r){r=Math.min(t.length,r);for(var n=[],i=e;i<r;){var a,o,s,l,c=t[i],u=null,h=c>239?4:c>223?3:c>191?2:1;if(i+h<=r)switch(h){case 1:c<128&&(u=c);break;case 2:128==(192&(a=t[i+1]))&&(l=(31&c)<<6|63&a)>127&&(u=l);break;case 3:a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&(l=(15&c)<<12|(63&a)<<6|63&o)>2047&&(l<55296||l>57343)&&(u=l);break;case 4:a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&(l=(15&c)<<18|(63&a)<<12|(63&o)<<6|63&s)>65535&&l<1114112&&(u=l)}null===u?(u=65533,h=1):u>65535&&(u-=65536,n.push(u>>>10&1023|55296),u=56320|1023&u),n.push(u),i+=h}return function(t){var e=t.length;if(e<=4096)return String.fromCharCode.apply(String,t);var r="",n=0;for(;n<e;)r+=String.fromCharCode.apply(String,t.slice(n,n+=4096));return r}(n)}r.kMaxLength=2147483647,e.TYPED_ARRAY_SUPPORT=function(){try{var t=new Uint8Array(1);return t.__proto__={__proto__:Uint8Array.prototype,foo:function(){return 42}},42===t.foo()}catch(t){return!1}}(),e.TYPED_ARRAY_SUPPORT||"undefined"==typeof console||"function"!=typeof console.error||console.error("This browser lacks typed array (Uint8Array) support which is required by `buffer` v5.x. Use `buffer` v4.x if you require old browser support."),Object.defineProperty(e.prototype,"parent",{enumerable:!0,get:function(){if(e.isBuffer(this))return this.buffer}}),Object.defineProperty(e.prototype,"offset",{enumerable:!0,get:function(){if(e.isBuffer(this))return this.byteOffset}}),"undefined"!=typeof Symbol&&null!=Symbol.species&&e[Symbol.species]===e&&Object.defineProperty(e,Symbol.species,{value:null,configurable:!0,enumerable:!1,writable:!1}),e.poolSize=8192,e.from=function(t,e,r){return o(t,e,r)},e.prototype.__proto__=Uint8Array.prototype,e.__proto__=Uint8Array,e.alloc=function(t,e,r){return function(t,e,r){return s(t),t<=0?a(t):void 0!==e?"string"==typeof r?a(t).fill(e,r):a(t).fill(e):a(t)}(t,e,r)},e.allocUnsafe=function(t){return l(t)},e.allocUnsafeSlow=function(t){return l(t)},e.isBuffer=function(t){return null!=t&&!0===t._isBuffer&&t!==e.prototype},e.compare=function(t,r){if(B(t,Uint8Array)&&(t=e.from(t,t.offset,t.byteLength)),B(r,Uint8Array)&&(r=e.from(r,r.offset,r.byteLength)),!e.isBuffer(t)||!e.isBuffer(r))throw new TypeError('The "buf1", "buf2" arguments must be one of type Buffer or Uint8Array');if(t===r)return 0;for(var n=t.length,i=r.length,a=0,o=Math.min(n,i);a<o;++a)if(t[a]!==r[a]){n=t[a],i=r[a];break}return n<i?-1:i<n?1:0},e.isEncoding=function(t){switch(String(t).toLowerCase()){case"hex":case"utf8":case"utf-8":case"ascii":case"latin1":case"binary":case"base64":case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return!0;default:return!1}},e.concat=function(t,r){if(!Array.isArray(t))throw new TypeError('"list" argument must be an Array of Buffers');if(0===t.length)return e.alloc(0);var n;if(void 0===r)for(r=0,n=0;n<t.length;++n)r+=t[n].length;var i=e.allocUnsafe(r),a=0;for(n=0;n<t.length;++n){var o=t[n];if(B(o,Uint8Array)&&(o=e.from(o)),!e.isBuffer(o))throw new TypeError('"list" argument must be an Array of Buffers');o.copy(i,a),a+=o.length}return i},e.byteLength=h,e.prototype._isBuffer=!0,e.prototype.swap16=function(){var t=this.length;if(t%2!=0)throw new RangeError("Buffer size must be a multiple of 16-bits");for(var e=0;e<t;e+=2)p(this,e,e+1);return this},e.prototype.swap32=function(){var t=this.length;if(t%4!=0)throw new RangeError("Buffer size must be a multiple of 32-bits");for(var e=0;e<t;e+=4)p(this,e,e+3),p(this,e+1,e+2);return this},e.prototype.swap64=function(){var t=this.length;if(t%8!=0)throw new RangeError("Buffer size must be a multiple of 64-bits");for(var e=0;e<t;e+=8)p(this,e,e+7),p(this,e+1,e+6),p(this,e+2,e+5),p(this,e+3,e+4);return this},e.prototype.toString=function(){var t=this.length;return 0===t?"":0===arguments.length?T(this,0,t):f.apply(this,arguments)},e.prototype.toLocaleString=e.prototype.toString,e.prototype.equals=function(t){if(!e.isBuffer(t))throw new TypeError("Argument must be a Buffer");return this===t||0===e.compare(this,t)},e.prototype.inspect=function(){var t="",e=r.INSPECT_MAX_BYTES;return t=this.toString("hex",0,e).replace(/(.{2})/g,"$1 ").trim(),this.length>e&&(t+=" ... "),"<Buffer "+t+">"},e.prototype.compare=function(t,r,n,i,a){if(B(t,Uint8Array)&&(t=e.from(t,t.offset,t.byteLength)),!e.isBuffer(t))throw new TypeError('The "target" argument must be one of type Buffer or Uint8Array. Received type '+typeof t);if(void 0===r&&(r=0),void 0===n&&(n=t?t.length:0),void 0===i&&(i=0),void 0===a&&(a=this.length),r<0||n>t.length||i<0||a>this.length)throw new RangeError("out of range index");if(i>=a&&r>=n)return 0;if(i>=a)return-1;if(r>=n)return 1;if(this===t)return 0;for(var o=(a>>>=0)-(i>>>=0),s=(n>>>=0)-(r>>>=0),l=Math.min(o,s),c=this.slice(i,a),u=t.slice(r,n),h=0;h<l;++h)if(c[h]!==u[h]){o=c[h],s=u[h];break}return o<s?-1:s<o?1:0},e.prototype.includes=function(t,e,r){return-1!==this.indexOf(t,e,r)},e.prototype.indexOf=function(t,e,r){return d(this,t,e,r,!0)},e.prototype.lastIndexOf=function(t,e,r){return d(this,t,e,r,!1)},e.prototype.write=function(t,e,r,n){if(void 0===e)n="utf8",r=this.length,e=0;else if(void 0===r&&"string"==typeof e)n=e,r=this.length,e=0;else{if(!isFinite(e))throw new Error("Buffer.write(string, encoding, offset[, length]) is no longer supported");e>>>=0,isFinite(r)?(r>>>=0,void 0===n&&(n="utf8")):(n=r,r=void 0)}var i=this.length-e;if((void 0===r||r>i)&&(r=i),t.length>0&&(r<0||e<0)||e>this.length)throw new RangeError("Attempt to write outside buffer bounds");n||(n="utf8");for(var a=!1;;)switch(n){case"hex":return m(this,t,e,r);case"utf8":case"utf-8":return v(this,t,e,r);case"ascii":return y(this,t,e,r);case"latin1":case"binary":return x(this,t,e,r);case"base64":return b(this,t,e,r);case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return _(this,t,e,r);default:if(a)throw new TypeError("Unknown encoding: "+n);n=(""+n).toLowerCase(),a=!0}},e.prototype.toJSON=function(){return{type:"Buffer",data:Array.prototype.slice.call(this._arr||this,0)}};function k(t,e,r){var n="";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(127&t[i]);return n}function M(t,e,r){var n="";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(t[i]);return n}function A(t,e,r){var n=t.length;(!e||e<0)&&(e=0),(!r||r<0||r>n)&&(r=n);for(var i="",a=e;a<r;++a)i+=O(t[a]);return i}function S(t,e,r){for(var n=t.slice(e,r),i="",a=0;a<n.length;a+=2)i+=String.fromCharCode(n[a]+256*n[a+1]);return i}function E(t,e,r){if(t%1!=0||t<0)throw new RangeError("offset is not uint");if(t+e>r)throw new RangeError("Trying to access beyond buffer length")}function C(t,r,n,i,a,o){if(!e.isBuffer(t))throw new TypeError('"buffer" argument must be a Buffer instance');if(r>a||r<o)throw new RangeError('"value" argument is out of bounds');if(n+i>t.length)throw new RangeError("Index out of range")}function L(t,e,r,n,i,a){if(r+n>t.length)throw new RangeError("Index out of range");if(r<0)throw new RangeError("Index out of range")}function P(t,e,r,n,a){return e=+e,r>>>=0,a||L(t,0,r,4),i.write(t,e,r,n,23,4),r+4}function I(t,e,r,n,a){return e=+e,r>>>=0,a||L(t,0,r,8),i.write(t,e,r,n,52,8),r+8}e.prototype.slice=function(t,r){var n=this.length;(t=~~t)<0?(t+=n)<0&&(t=0):t>n&&(t=n),(r=void 0===r?n:~~r)<0?(r+=n)<0&&(r=0):r>n&&(r=n),r<t&&(r=t);var i=this.subarray(t,r);return i.__proto__=e.prototype,i},e.prototype.readUIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n},e.prototype.readUIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t+--e],i=1;e>0&&(i*=256);)n+=this[t+--e]*i;return n},e.prototype.readUInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),this[t]},e.prototype.readUInt16LE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]|this[t+1]<<8},e.prototype.readUInt16BE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]<<8|this[t+1]},e.prototype.readUInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),(this[t]|this[t+1]<<8|this[t+2]<<16)+16777216*this[t+3]},e.prototype.readUInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),16777216*this[t]+(this[t+1]<<16|this[t+2]<<8|this[t+3])},e.prototype.readIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n>=(i*=128)&&(n-=Math.pow(2,8*e)),n},e.prototype.readIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=e,i=1,a=this[t+--n];n>0&&(i*=256);)a+=this[t+--n]*i;return a>=(i*=128)&&(a-=Math.pow(2,8*e)),a},e.prototype.readInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),128&this[t]?-1*(255-this[t]+1):this[t]},e.prototype.readInt16LE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t]|this[t+1]<<8;return 32768&r?4294901760|r:r},e.prototype.readInt16BE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t+1]|this[t]<<8;return 32768&r?4294901760|r:r},e.prototype.readInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]|this[t+1]<<8|this[t+2]<<16|this[t+3]<<24},e.prototype.readInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]<<24|this[t+1]<<16|this[t+2]<<8|this[t+3]},e.prototype.readFloatLE=function(t,e){return t>>>=0,e||E(t,4,this.length),i.read(this,t,!0,23,4)},e.prototype.readFloatBE=function(t,e){return t>>>=0,e||E(t,4,this.length),i.read(this,t,!1,23,4)},e.prototype.readDoubleLE=function(t,e){return t>>>=0,e||E(t,8,this.length),i.read(this,t,!0,52,8)},e.prototype.readDoubleBE=function(t,e){return t>>>=0,e||E(t,8,this.length),i.read(this,t,!1,52,8)},e.prototype.writeUIntLE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||C(this,t,e,r,Math.pow(2,8*r)-1,0);var i=1,a=0;for(this[e]=255&t;++a<r&&(i*=256);)this[e+a]=t/i&255;return e+r},e.prototype.writeUIntBE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||C(this,t,e,r,Math.pow(2,8*r)-1,0);var i=r-1,a=1;for(this[e+i]=255&t;--i>=0&&(a*=256);)this[e+i]=t/a&255;return e+r},e.prototype.writeUInt8=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,1,255,0),this[e]=255&t,e+1},e.prototype.writeUInt16LE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,2,65535,0),this[e]=255&t,this[e+1]=t>>>8,e+2},e.prototype.writeUInt16BE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,2,65535,0),this[e]=t>>>8,this[e+1]=255&t,e+2},e.prototype.writeUInt32LE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,4,4294967295,0),this[e+3]=t>>>24,this[e+2]=t>>>16,this[e+1]=t>>>8,this[e]=255&t,e+4},e.prototype.writeUInt32BE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,4,4294967295,0),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},e.prototype.writeIntLE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);C(this,t,e,r,i-1,-i)}var a=0,o=1,s=0;for(this[e]=255&t;++a<r&&(o*=256);)t<0&&0===s&&0!==this[e+a-1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},e.prototype.writeIntBE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);C(this,t,e,r,i-1,-i)}var a=r-1,o=1,s=0;for(this[e+a]=255&t;--a>=0&&(o*=256);)t<0&&0===s&&0!==this[e+a+1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},e.prototype.writeInt8=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,1,127,-128),t<0&&(t=255+t+1),this[e]=255&t,e+1},e.prototype.writeInt16LE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,2,32767,-32768),this[e]=255&t,this[e+1]=t>>>8,e+2},e.prototype.writeInt16BE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,2,32767,-32768),this[e]=t>>>8,this[e+1]=255&t,e+2},e.prototype.writeInt32LE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,4,2147483647,-2147483648),this[e]=255&t,this[e+1]=t>>>8,this[e+2]=t>>>16,this[e+3]=t>>>24,e+4},e.prototype.writeInt32BE=function(t,e,r){return t=+t,e>>>=0,r||C(this,t,e,4,2147483647,-2147483648),t<0&&(t=4294967295+t+1),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},e.prototype.writeFloatLE=function(t,e,r){return P(this,t,e,!0,r)},e.prototype.writeFloatBE=function(t,e,r){return P(this,t,e,!1,r)},e.prototype.writeDoubleLE=function(t,e,r){return I(this,t,e,!0,r)},e.prototype.writeDoubleBE=function(t,e,r){return I(this,t,e,!1,r)},e.prototype.copy=function(t,r,n,i){if(!e.isBuffer(t))throw new TypeError("argument should be a Buffer");if(n||(n=0),i||0===i||(i=this.length),r>=t.length&&(r=t.length),r||(r=0),i>0&&i<n&&(i=n),i===n)return 0;if(0===t.length||0===this.length)return 0;if(r<0)throw new RangeError("targetStart out of bounds");if(n<0||n>=this.length)throw new RangeError("Index out of range");if(i<0)throw new RangeError("sourceEnd out of bounds");i>this.length&&(i=this.length),t.length-r<i-n&&(i=t.length-r+n);var a=i-n;if(this===t&&"function"==typeof Uint8Array.prototype.copyWithin)this.copyWithin(r,n,i);else if(this===t&&n<r&&r<i)for(var o=a-1;o>=0;--o)t[o+r]=this[o+n];else Uint8Array.prototype.set.call(t,this.subarray(n,i),r);return a},e.prototype.fill=function(t,r,n,i){if("string"==typeof t){if("string"==typeof r?(i=r,r=0,n=this.length):"string"==typeof n&&(i=n,n=this.length),void 0!==i&&"string"!=typeof i)throw new TypeError("encoding must be a string");if("string"==typeof i&&!e.isEncoding(i))throw new TypeError("Unknown encoding: "+i);if(1===t.length){var a=t.charCodeAt(0);("utf8"===i&&a<128||"latin1"===i)&&(t=a)}}else"number"==typeof t&&(t&=255);if(r<0||this.length<r||this.length<n)throw new RangeError("Out of range index");if(n<=r)return this;var o;if(r>>>=0,n=void 0===n?this.length:n>>>0,t||(t=0),"number"==typeof t)for(o=r;o<n;++o)this[o]=t;else{var s=e.isBuffer(t)?t:e.from(t,i),l=s.length;if(0===l)throw new TypeError('The value "'+t+'" is invalid for argument "value"');for(o=0;o<n-r;++o)this[o+r]=s[o%l]}return this};var z=/[^+/0-9A-Za-z-_]/g;function O(t){return t<16?"0"+t.toString(16):t.toString(16)}function D(t,e){var r;e=e||1/0;for(var n=t.length,i=null,a=[],o=0;o<n;++o){if((r=t.charCodeAt(o))>55295&&r<57344){if(!i){if(r>56319){(e-=3)>-1&&a.push(239,191,189);continue}if(o+1===n){(e-=3)>-1&&a.push(239,191,189);continue}i=r;continue}if(r<56320){(e-=3)>-1&&a.push(239,191,189),i=r;continue}r=65536+(i-55296<<10|r-56320)}else i&&(e-=3)>-1&&a.push(239,191,189);if(i=null,r<128){if((e-=1)<0)break;a.push(r)}else if(r<2048){if((e-=2)<0)break;a.push(r>>6|192,63&r|128)}else if(r<65536){if((e-=3)<0)break;a.push(r>>12|224,r>>6&63|128,63&r|128)}else{if(!(r<1114112))throw new Error("Invalid code point");if((e-=4)<0)break;a.push(r>>18|240,r>>12&63|128,r>>6&63|128,63&r|128)}}return a}function R(t){return n.toByteArray(function(t){if((t=(t=t.split("=")[0]).trim().replace(z,"")).length<2)return"";for(;t.length%4!=0;)t+="=";return t}(t))}function F(t,e,r,n){for(var i=0;i<n&&!(i+r>=e.length||i>=t.length);++i)e[i+r]=t[i];return i}function B(t,e){return t instanceof e||null!=t&&null!=t.constructor&&null!=t.constructor.name&&t.constructor.name===e.name}function N(t){return t!=t}}).call(this,t("buffer").Buffer)},{"base64-js":79,buffer:111,ieee754:416}],112:[function(t,e,r){"use strict";var n=t("./lib/monotone"),i=t("./lib/triangulation"),a=t("./lib/delaunay"),o=t("./lib/filter");function s(t){return[Math.min(t[0],t[1]),Math.max(t[0],t[1])]}function l(t,e){return t[0]-e[0]||t[1]-e[1]}function c(t,e,r){return e in t?t[e]:r}e.exports=function(t,e,r){Array.isArray(e)?(r=r||{},e=e||[]):(r=e||{},e=[]);var u=!!c(r,"delaunay",!0),h=!!c(r,"interior",!0),f=!!c(r,"exterior",!0),p=!!c(r,"infinity",!1);if(!h&&!f||0===t.length)return[];var d=n(t,e);if(u||h!==f||p){for(var g=i(t.length,function(t){return t.map(s).sort(l)}(e)),m=0;m<d.length;++m){var v=d[m];g.addTriangle(v[0],v[1],v[2])}return u&&a(t,g),f?h?p?o(g,0,p):g.cells():o(g,1,p):o(g,-1)}return d}},{"./lib/delaunay":113,"./lib/filter":114,"./lib/monotone":115,"./lib/triangulation":116}],113:[function(t,e,r){"use strict";var n=t("robust-in-sphere")[4];t("binary-search-bounds");function i(t,e,r,i,a,o){var s=e.opposite(i,a);if(!(s<0)){if(a<i){var l=i;i=a,a=l,l=o,o=s,s=l}e.isConstraint(i,a)||n(t[i],t[a],t[o],t[s])<0&&r.push(i,a)}}e.exports=function(t,e){for(var r=[],a=t.length,o=e.stars,s=0;s<a;++s)for(var l=o[s],c=1;c<l.length;c+=2){if(!((p=l[c])<s)&&!e.isConstraint(s,p)){for(var u=l[c-1],h=-1,f=1;f<l.length;f+=2)if(l[f-1]===p){h=l[f];break}h<0||n(t[s],t[p],t[u],t[h])<0&&r.push(s,p)}}for(;r.length>0;){for(var p=r.pop(),d=(s=r.pop(),u=-1,h=-1,l=o[s],1);d<l.length;d+=2){var g=l[d-1],m=l[d];g===p?h=m:m===p&&(u=g)}u<0||h<0||(n(t[s],t[p],t[u],t[h])>=0||(e.flip(s,p),i(t,e,r,u,s,h),i(t,e,r,s,h,u),i(t,e,r,h,p,u),i(t,e,r,p,u,h)))}}},{"binary-search-bounds":96,"robust-in-sphere":518}],114:[function(t,e,r){"use strict";var n,i=t("binary-search-bounds");function a(t,e,r,n,i,a,o){this.cells=t,this.neighbor=e,this.flags=n,this.constraint=r,this.active=i,this.next=a,this.boundary=o}function o(t,e){return t[0]-e[0]||t[1]-e[1]||t[2]-e[2]}e.exports=function(t,e,r){var n=function(t,e){for(var r=t.cells(),n=r.length,i=0;i<n;++i){var s=(v=r[i])[0],l=v[1],c=v[2];l<c?l<s&&(v[0]=l,v[1]=c,v[2]=s):c<s&&(v[0]=c,v[1]=s,v[2]=l)}r.sort(o);var u=new Array(n);for(i=0;i<u.length;++i)u[i]=0;var h=[],f=[],p=new Array(3*n),d=new Array(3*n),g=null;e&&(g=[]);var m=new a(r,p,d,u,h,f,g);for(i=0;i<n;++i)for(var v=r[i],y=0;y<3;++y){s=v[y],l=v[(y+1)%3];var x=p[3*i+y]=m.locate(l,s,t.opposite(l,s)),b=d[3*i+y]=t.isConstraint(s,l);x<0&&(b?f.push(i):(h.push(i),u[i]=1),e&&g.push([l,s,-1]))}return m}(t,r);if(0===e)return r?n.cells.concat(n.boundary):n.cells;var i=1,s=n.active,l=n.next,c=n.flags,u=n.cells,h=n.constraint,f=n.neighbor;for(;s.length>0||l.length>0;){for(;s.length>0;){var p=s.pop();if(c[p]!==-i){c[p]=i;u[p];for(var d=0;d<3;++d){var g=f[3*p+d];g>=0&&0===c[g]&&(h[3*p+d]?l.push(g):(s.push(g),c[g]=i))}}}var m=l;l=s,s=m,l.length=0,i=-i}var v=function(t,e,r){for(var n=0,i=0;i<t.length;++i)e[i]===r&&(t[n++]=t[i]);return t.length=n,t}(u,c,e);if(r)return v.concat(n.boundary);return v},a.prototype.locate=(n=[0,0,0],function(t,e,r){var a=t,s=e,l=r;return e<r?e<t&&(a=e,s=r,l=t):r<t&&(a=r,s=t,l=e),a<0?-1:(n[0]=a,n[1]=s,n[2]=l,i.eq(this.cells,n,o))})},{"binary-search-bounds":96}],115:[function(t,e,r){"use strict";var n=t("binary-search-bounds"),i=t("robust-orientation")[3];function a(t,e,r,n,i){this.a=t,this.b=e,this.idx=r,this.lowerIds=n,this.upperIds=i}function o(t,e,r,n){this.a=t,this.b=e,this.type=r,this.idx=n}function s(t,e){var r=t.a[0]-e.a[0]||t.a[1]-e.a[1]||t.type-e.type;return r||(0!==t.type&&(r=i(t.a,t.b,e.b))?r:t.idx-e.idx)}function l(t,e){return i(t.a,t.b,e)}function c(t,e,r,a,o){for(var s=n.lt(e,a,l),c=n.gt(e,a,l),u=s;u<c;++u){for(var h=e[u],f=h.lowerIds,p=f.length;p>1&&i(r[f[p-2]],r[f[p-1]],a)>0;)t.push([f[p-1],f[p-2],o]),p-=1;f.length=p,f.push(o);var d=h.upperIds;for(p=d.length;p>1&&i(r[d[p-2]],r[d[p-1]],a)<0;)t.push([d[p-2],d[p-1],o]),p-=1;d.length=p,d.push(o)}}function u(t,e){var r;return(r=t.a[0]<e.a[0]?i(t.a,t.b,e.a):i(e.b,e.a,t.a))?r:(r=e.b[0]<t.b[0]?i(t.a,t.b,e.b):i(e.b,e.a,t.b))||t.idx-e.idx}function h(t,e,r){var i=n.le(t,r,u),o=t[i],s=o.upperIds,l=s[s.length-1];o.upperIds=[l],t.splice(i+1,0,new a(r.a,r.b,r.idx,[l],s))}function f(t,e,r){var i=r.a;r.a=r.b,r.b=i;var a=n.eq(t,r,u),o=t[a];t[a-1].upperIds=o.upperIds,t.splice(a,1)}e.exports=function(t,e){for(var r=t.length,n=e.length,i=[],l=0;l<r;++l)i.push(new o(t[l],null,0,l));for(l=0;l<n;++l){var u=e[l],p=t[u[0]],d=t[u[1]];p[0]<d[0]?i.push(new o(p,d,2,l),new o(d,p,1,l)):p[0]>d[0]&&i.push(new o(d,p,2,l),new o(p,d,1,l))}i.sort(s);for(var g=i[0].a[0]-(1+Math.abs(i[0].a[0]))*Math.pow(2,-52),m=[new a([g,1],[g,0],-1,[],[],[],[])],v=[],y=(l=0,i.length);l<y;++l){var x=i[l],b=x.type;0===b?c(v,m,t,x.a,x.idx):2===b?h(m,t,x):f(m,t,x)}return v}},{"binary-search-bounds":96,"robust-orientation":520}],116:[function(t,e,r){"use strict";var n=t("binary-search-bounds");function i(t,e){this.stars=t,this.edges=e}e.exports=function(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=[];return new i(r,e)};var a=i.prototype;function o(t,e,r){for(var n=1,i=t.length;n<i;n+=2)if(t[n-1]===e&&t[n]===r)return t[n-1]=t[i-2],t[n]=t[i-1],void(t.length=i-2)}a.isConstraint=function(){var t=[0,0];function e(t,e){return t[0]-e[0]||t[1]-e[1]}return function(r,i){return t[0]=Math.min(r,i),t[1]=Math.max(r,i),n.eq(this.edges,t,e)>=0}}(),a.removeTriangle=function(t,e,r){var n=this.stars;o(n[t],e,r),o(n[e],r,t),o(n[r],t,e)},a.addTriangle=function(t,e,r){var n=this.stars;n[t].push(e,r),n[e].push(r,t),n[r].push(t,e)},a.opposite=function(t,e){for(var r=this.stars[e],n=1,i=r.length;n<i;n+=2)if(r[n]===t)return r[n-1];return-1},a.flip=function(t,e){var r=this.opposite(t,e),n=this.opposite(e,t);this.removeTriangle(t,e,r),this.removeTriangle(e,t,n),this.addTriangle(t,n,r),this.addTriangle(e,r,n)},a.edges=function(){for(var t=this.stars,e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;a+=2)e.push([i[a],i[a+1]]);return e},a.cells=function(){for(var t=this.stars,e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;a+=2){var s=i[a],l=i[a+1];r<Math.min(s,l)&&e.push([r,s,l])}return e}},{"binary-search-bounds":96}],117:[function(t,e,r){"use strict";e.exports=function(t){for(var e=1,r=1;r<t.length;++r)for(var n=0;n<r;++n)if(t[r]<t[n])e=-e;else if(t[n]===t[r])return 0;return e}},{}],118:[function(t,e,r){"use strict";var n=t("dup"),i=t("robust-linear-solve");function a(t,e){for(var r=0,n=t.length,i=0;i<n;++i)r+=t[i]*e[i];return r}function o(t){var e=t.length;if(0===e)return[];t[0].length;var r=n([t.length+1,t.length+1],1),o=n([t.length+1],1);r[e][e]=0;for(var s=0;s<e;++s){for(var l=0;l<=s;++l)r[l][s]=r[s][l]=2*a(t[s],t[l]);o[s]=a(t[s],t[s])}var c=i(r,o),u=0,h=c[e+1];for(s=0;s<h.length;++s)u+=h[s];var f=new Array(e);for(s=0;s<e;++s){h=c[s];var p=0;for(l=0;l<h.length;++l)p+=h[l];f[s]=p/u}return f}function s(t){if(0===t.length)return[];for(var e=t[0].length,r=n([e]),i=o(t),a=0;a<t.length;++a)for(var s=0;s<e;++s)r[s]+=t[a][s]*i[a];return r}s.barycenetric=o,e.exports=s},{dup:176,"robust-linear-solve":519}],119:[function(t,e,r){e.exports=function(t){for(var e=n(t),r=0,i=0;i<t.length;++i)for(var a=t[i],o=0;o<e.length;++o)r+=Math.pow(a[o]-e[o],2);return Math.sqrt(r/t.length)};var n=t("circumcenter")},{circumcenter:118}],120:[function(t,e,r){e.exports=function(t,e,r){return e<r?t<e?e:t>r?r:t:t<r?r:t>e?e:t}},{}],121:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n;if(r){n=e;for(var i=new Array(e.length),a=0;a<e.length;++a){var o=e[a];i[a]=[o[0],o[1],r[a]]}e=i}var s=function(t,e,r){var n=d(t,[],p(t));return v(e,n,r),!!n}(t,e,!!r);for(;y(t,e,!!r);)s=!0;if(r&&s){n.length=0,r.length=0;for(a=0;a<e.length;++a){o=e[a];n.push([o[0],o[1]]),r.push(o[2])}}return s};var n=t("union-find"),i=t("box-intersect"),a=t("robust-segment-intersect"),o=t("big-rat"),s=t("big-rat/cmp"),l=t("big-rat/to-float"),c=t("rat-vec"),u=t("nextafter"),h=t("./lib/rat-seg-intersect");function f(t){var e=l(t);return[u(e,-1/0),u(e,1/0)]}function p(t){for(var e=new Array(t.length),r=0;r<t.length;++r){var n=t[r];e[r]=[u(n[0],-1/0),u(n[1],-1/0),u(n[0],1/0),u(n[1],1/0)]}return e}function d(t,e,r){for(var a=e.length,o=new n(a),s=[],l=0;l<e.length;++l){var c=e[l],h=f(c[0]),p=f(c[1]);s.push([u(h[0],-1/0),u(p[0],-1/0),u(h[1],1/0),u(p[1],1/0)])}i(s,(function(t,e){o.link(t,e)}));var d=!0,g=new Array(a);for(l=0;l<a;++l){(v=o.find(l))!==l&&(d=!1,t[v]=[Math.min(t[l][0],t[v][0]),Math.min(t[l][1],t[v][1])])}if(d)return null;var m=0;for(l=0;l<a;++l){var v;(v=o.find(l))===l?(g[l]=m,t[m++]=t[l]):g[l]=-1}t.length=m;for(l=0;l<a;++l)g[l]<0&&(g[l]=g[o.find(l)]);return g}function g(t,e){return t[0]-e[0]||t[1]-e[1]}function m(t,e){var r=t[0]-e[0]||t[1]-e[1];return r||(t[2]<e[2]?-1:t[2]>e[2]?1:0)}function v(t,e,r){if(0!==t.length){if(e)for(var n=0;n<t.length;++n){var i=e[(o=t[n])[0]],a=e[o[1]];o[0]=Math.min(i,a),o[1]=Math.max(i,a)}else for(n=0;n<t.length;++n){var o;i=(o=t[n])[0],a=o[1];o[0]=Math.min(i,a),o[1]=Math.max(i,a)}r?t.sort(m):t.sort(g);var s=1;for(n=1;n<t.length;++n){var l=t[n-1],c=t[n];(c[0]!==l[0]||c[1]!==l[1]||r&&c[2]!==l[2])&&(t[s++]=c)}t.length=s}}function y(t,e,r){var n=function(t,e){for(var r=new Array(e.length),n=0;n<e.length;++n){var i=e[n],a=t[i[0]],o=t[i[1]];r[n]=[u(Math.min(a[0],o[0]),-1/0),u(Math.min(a[1],o[1]),-1/0),u(Math.max(a[0],o[0]),1/0),u(Math.max(a[1],o[1]),1/0)]}return r}(t,e),f=function(t,e,r){var n=[];return i(r,(function(r,i){var o=e[r],s=e[i];if(o[0]!==s[0]&&o[0]!==s[1]&&o[1]!==s[0]&&o[1]!==s[1]){var l=t[o[0]],c=t[o[1]],u=t[s[0]],h=t[s[1]];a(l,c,u,h)&&n.push([r,i])}})),n}(t,e,n),g=p(t),m=function(t,e,r,n){var o=[];return i(r,n,(function(r,n){var i=e[r];if(i[0]!==n&&i[1]!==n){var s=t[n],l=t[i[0]],c=t[i[1]];a(l,c,s,s)&&o.push([r,n])}})),o}(t,e,n,g),y=d(t,function(t,e,r,n,i){var a,u,f=t.map((function(t){return[o(t[0]),o(t[1])]}));for(a=0;a<r.length;++a){var p=r[a];u=p[0];var d=p[1],g=e[u],m=e[d],v=h(c(t[g[0]]),c(t[g[1]]),c(t[m[0]]),c(t[m[1]]));if(v){var y=t.length;t.push([l(v[0]),l(v[1])]),f.push(v),n.push([u,y],[d,y])}}for(n.sort((function(t,e){if(t[0]!==e[0])return t[0]-e[0];var r=f[t[1]],n=f[e[1]];return s(r[0],n[0])||s(r[1],n[1])})),a=n.length-1;a>=0;--a){var x=e[u=(S=n[a])[0]],b=x[0],_=x[1],w=t[b],T=t[_];if((w[0]-T[0]||w[1]-T[1])<0){var k=b;b=_,_=k}x[0]=b;var M,A=x[1]=S[1];for(i&&(M=x[2]);a>0&&n[a-1][0]===u;){var S,E=(S=n[--a])[1];i?e.push([A,E,M]):e.push([A,E]),A=E}i?e.push([A,_,M]):e.push([A,_])}return f}(t,e,f,m,r));return v(e,y,r),!!y||(f.length>0||m.length>0)}},{"./lib/rat-seg-intersect":122,"big-rat":83,"big-rat/cmp":81,"big-rat/to-float":95,"box-intersect":101,nextafter:470,"rat-vec":504,"robust-segment-intersect":523,"union-find":568}],122:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var a=s(e,t),h=s(n,r),f=u(a,h);if(0===o(f))return null;var p=s(t,r),d=u(h,p),g=i(d,f),m=c(a,g);return l(t,m)};var n=t("big-rat/mul"),i=t("big-rat/div"),a=t("big-rat/sub"),o=t("big-rat/sign"),s=t("rat-vec/sub"),l=t("rat-vec/add"),c=t("rat-vec/muls");function u(t,e){return a(n(t[0],e[1]),n(t[1],e[0]))}},{"big-rat/div":82,"big-rat/mul":92,"big-rat/sign":93,"big-rat/sub":94,"rat-vec/add":503,"rat-vec/muls":505,"rat-vec/sub":506}],123:[function(t,e,r){"use strict";var n=t("clamp");function i(t,e){null==e&&(e=!0);var r=t[0],i=t[1],a=t[2],o=t[3];return null==o&&(o=e?1:255),e&&(r*=255,i*=255,a*=255,o*=255),16777216*(r=255&n(r,0,255))+((i=255&n(i,0,255))<<16)+((a=255&n(a,0,255))<<8)+(o=255&n(o,0,255))}e.exports=i,e.exports.to=i,e.exports.from=function(t,e){var r=(t=+t)>>>24,n=(16711680&t)>>>16,i=(65280&t)>>>8,a=255&t;return!1===e?[r,n,i,a]:[r/255,n/255,i/255,a/255]}},{clamp:120}],124:[function(t,e,r){"use strict";e.exports={aliceblue:[240,248,255],antiquewhite:[250,235,215],aqua:[0,255,255],aquamarine:[127,255,212],azure:[240,255,255],beige:[245,245,220],bisque:[255,228,196],black:[0,0,0],blanchedalmond:[255,235,205],blue:[0,0,255],blueviolet:[138,43,226],brown:[165,42,42],burlywood:[222,184,135],cadetblue:[95,158,160],chartreuse:[127,255,0],chocolate:[210,105,30],coral:[255,127,80],cornflowerblue:[100,149,237],cornsilk:[255,248,220],crimson:[220,20,60],cyan:[0,255,255],darkblue:[0,0,139],darkcyan:[0,139,139],darkgoldenrod:[184,134,11],darkgray:[169,169,169],darkgreen:[0,100,0],darkgrey:[169,169,169],darkkhaki:[189,183,107],darkmagenta:[139,0,139],darkolivegreen:[85,107,47],darkorange:[255,140,0],darkorchid:[153,50,204],darkred:[139,0,0],darksalmon:[233,150,122],darkseagreen:[143,188,143],darkslateblue:[72,61,139],darkslategray:[47,79,79],darkslategrey:[47,79,79],darkturquoise:[0,206,209],darkviolet:[148,0,211],deeppink:[255,20,147],deepskyblue:[0,191,255],dimgray:[105,105,105],dimgrey:[105,105,105],dodgerblue:[30,144,255],firebrick:[178,34,34],floralwhite:[255,250,240],forestgreen:[34,139,34],fuchsia:[255,0,255],gainsboro:[220,220,220],ghostwhite:[248,248,255],gold:[255,215,0],goldenrod:[218,165,32],gray:[128,128,128],green:[0,128,0],greenyellow:[173,255,47],grey:[128,128,128],honeydew:[240,255,240],hotpink:[255,105,180],indianred:[205,92,92],indigo:[75,0,130],ivory:[255,255,240],khaki:[240,230,140],lavender:[230,230,250],lavenderblush:[255,240,245],lawngreen:[124,252,0],lemonchiffon:[255,250,205],lightblue:[173,216,230],lightcoral:[240,128,128],lightcyan:[224,255,255],lightgoldenrodyellow:[250,250,210],lightgray:[211,211,211],lightgreen:[144,238,144],lightgrey:[211,211,211],lightpink:[255,182,193],lightsalmon:[255,160,122],lightseagreen:[32,178,170],lightskyblue:[135,206,250],lightslategray:[119,136,153],lightslategrey:[119,136,153],lightsteelblue:[176,196,222],lightyellow:[255,255,224],lime:[0,255,0],limegreen:[50,205,50],linen:[250,240,230],magenta:[255,0,255],maroon:[128,0,0],mediumaquamarine:[102,205,170],mediumblue:[0,0,205],mediumorchid:[186,85,211],mediumpurple:[147,112,219],mediumseagreen:[60,179,113],mediumslateblue:[123,104,238],mediumspringgreen:[0,250,154],mediumturquoise:[72,209,204],mediumvioletred:[199,21,133],midnightblue:[25,25,112],mintcream:[245,255,250],mistyrose:[255,228,225],moccasin:[255,228,181],navajowhite:[255,222,173],navy:[0,0,128],oldlace:[253,245,230],olive:[128,128,0],olivedrab:[107,142,35],orange:[255,165,0],orangered:[255,69,0],orchid:[218,112,214],palegoldenrod:[238,232,170],palegreen:[152,251,152],paleturquoise:[175,238,238],palevioletred:[219,112,147],papayawhip:[255,239,213],peachpuff:[255,218,185],peru:[205,133,63],pink:[255,192,203],plum:[221,160,221],powderblue:[176,224,230],purple:[128,0,128],rebeccapurple:[102,51,153],red:[255,0,0],rosybrown:[188,143,143],royalblue:[65,105,225],saddlebrown:[139,69,19],salmon:[250,128,114],sandybrown:[244,164,96],seagreen:[46,139,87],seashell:[255,245,238],sienna:[160,82,45],silver:[192,192,192],skyblue:[135,206,235],slateblue:[106,90,205],slategray:[112,128,144],slategrey:[112,128,144],snow:[255,250,250],springgreen:[0,255,127],steelblue:[70,130,180],tan:[210,180,140],teal:[0,128,128],thistle:[216,191,216],tomato:[255,99,71],turquoise:[64,224,208],violet:[238,130,238],wheat:[245,222,179],white:[255,255,255],whitesmoke:[245,245,245],yellow:[255,255,0],yellowgreen:[154,205,50]}},{}],125:[function(t,e,r){"use strict";var n=t("color-rgba"),i=t("clamp"),a=t("dtype");e.exports=function(t,e){"float"!==e&&e||(e="array"),"uint"===e&&(e="uint8"),"uint_clamped"===e&&(e="uint8_clamped");var r=new(a(e))(4),o="uint8"!==e&&"uint8_clamped"!==e;return t.length&&"string"!=typeof t||((t=n(t))[0]/=255,t[1]/=255,t[2]/=255),function(t){return t instanceof Uint8Array||t instanceof Uint8ClampedArray||!!(Array.isArray(t)&&(t[0]>1||0===t[0])&&(t[1]>1||0===t[1])&&(t[2]>1||0===t[2])&&(!t[3]||t[3]>1))}(t)?(r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=null!=t[3]?t[3]:255,o&&(r[0]/=255,r[1]/=255,r[2]/=255,r[3]/=255),r):(o?(r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=null!=t[3]?t[3]:1):(r[0]=i(Math.floor(255*t[0]),0,255),r[1]=i(Math.floor(255*t[1]),0,255),r[2]=i(Math.floor(255*t[2]),0,255),r[3]=null==t[3]?255:i(Math.floor(255*t[3]),0,255)),r)}},{clamp:120,"color-rgba":127,dtype:175}],126:[function(t,e,r){(function(r){"use strict";var n=t("color-name"),i=t("is-plain-obj"),a=t("defined");e.exports=function(t){var e,s,l=[],c=1;if("string"==typeof t)if(n[t])l=n[t].slice(),s="rgb";else if("transparent"===t)c=0,s="rgb",l=[0,0,0];else if(/^#[A-Fa-f0-9]+$/.test(t)){var u=(p=t.slice(1)).length;c=1,u<=4?(l=[parseInt(p[0]+p[0],16),parseInt(p[1]+p[1],16),parseInt(p[2]+p[2],16)],4===u&&(c=parseInt(p[3]+p[3],16)/255)):(l=[parseInt(p[0]+p[1],16),parseInt(p[2]+p[3],16),parseInt(p[4]+p[5],16)],8===u&&(c=parseInt(p[6]+p[7],16)/255)),l[0]||(l[0]=0),l[1]||(l[1]=0),l[2]||(l[2]=0),s="rgb"}else if(e=/^((?:rgb|hs[lvb]|hwb|cmyk?|xy[zy]|gray|lab|lchu?v?|[ly]uv|lms)a?)\s*\(([^\)]*)\)/.exec(t)){var h=e[1],f="rgb"===h,p=h.replace(/a$/,"");s=p;u="cmyk"===p?4:"gray"===p?1:3;l=e[2].trim().split(/\s*,\s*/).map((function(t,e){if(/%$/.test(t))return e===u?parseFloat(t)/100:"rgb"===p?255*parseFloat(t)/100:parseFloat(t);if("h"===p[e]){if(/deg$/.test(t))return parseFloat(t);if(void 0!==o[t])return o[t]}return parseFloat(t)})),h===p&&l.push(1),c=f||void 0===l[u]?1:l[u],l=l.slice(0,u)}else t.length>10&&/[0-9](?:\s|\/)/.test(t)&&(l=t.match(/([0-9]+)/g).map((function(t){return parseFloat(t)})),s=t.match(/([a-z])/gi).join("").toLowerCase());else if(isNaN(t))if(i(t)){var d=a(t.r,t.red,t.R,null);null!==d?(s="rgb",l=[d,a(t.g,t.green,t.G),a(t.b,t.blue,t.B)]):(s="hsl",l=[a(t.h,t.hue,t.H),a(t.s,t.saturation,t.S),a(t.l,t.lightness,t.L,t.b,t.brightness)]),c=a(t.a,t.alpha,t.opacity,1),null!=t.opacity&&(c/=100)}else(Array.isArray(t)||r.ArrayBuffer&&ArrayBuffer.isView&&ArrayBuffer.isView(t))&&(l=[t[0],t[1],t[2]],s="rgb",c=4===t.length?t[3]:1);else s="rgb",l=[t>>>16,(65280&t)>>>8,255&t];return{space:s,values:l,alpha:c}};var o={red:0,orange:60,yellow:120,green:180,blue:240,purple:300}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"color-name":124,defined:170,"is-plain-obj":443}],127:[function(t,e,r){"use strict";var n=t("color-parse"),i=t("color-space/hsl"),a=t("clamp");e.exports=function(t){var e,r=n(t);return r.space?((e=Array(3))[0]=a(r.values[0],0,255),e[1]=a(r.values[1],0,255),e[2]=a(r.values[2],0,255),"h"===r.space[0]&&(e=i.rgb(e)),e.push(a(r.alpha,0,1)),e):[]}},{clamp:120,"color-parse":126,"color-space/hsl":128}],128:[function(t,e,r){"use strict";var n=t("./rgb");e.exports={name:"hsl",min:[0,0,0],max:[360,100,100],channel:["hue","saturation","lightness"],alias:["HSL"],rgb:function(t){var e,r,n,i,a,o=t[0]/360,s=t[1]/100,l=t[2]/100;if(0===s)return[a=255*l,a,a];e=2*l-(r=l<.5?l*(1+s):l+s-l*s),i=[0,0,0];for(var c=0;c<3;c++)(n=o+1/3*-(c-1))<0?n++:n>1&&n--,a=6*n<1?e+6*(r-e)*n:2*n<1?r:3*n<2?e+(r-e)*(2/3-n)*6:e,i[c]=255*a;return i}},n.hsl=function(t){var e,r,n=t[0]/255,i=t[1]/255,a=t[2]/255,o=Math.min(n,i,a),s=Math.max(n,i,a),l=s-o;return s===o?e=0:n===s?e=(i-a)/l:i===s?e=2+(a-n)/l:a===s&&(e=4+(n-i)/l),(e=Math.min(60*e,360))<0&&(e+=360),r=(o+s)/2,[e,100*(s===o?0:r<=.5?l/(s+o):l/(2-s-o)),100*r]}},{"./rgb":129}],129:[function(t,e,r){"use strict";e.exports={name:"rgb",min:[0,0,0],max:[255,255,255],channel:["red","green","blue"],alias:["RGB"]}},{}],130:[function(t,e,r){e.exports={jet:[{index:0,rgb:[0,0,131]},{index:.125,rgb:[0,60,170]},{index:.375,rgb:[5,255,255]},{index:.625,rgb:[255,255,0]},{index:.875,rgb:[250,0,0]},{index:1,rgb:[128,0,0]}],hsv:[{index:0,rgb:[255,0,0]},{index:.169,rgb:[253,255,2]},{index:.173,rgb:[247,255,2]},{index:.337,rgb:[0,252,4]},{index:.341,rgb:[0,252,10]},{index:.506,rgb:[1,249,255]},{index:.671,rgb:[2,0,253]},{index:.675,rgb:[8,0,253]},{index:.839,rgb:[255,0,251]},{index:.843,rgb:[255,0,245]},{index:1,rgb:[255,0,6]}],hot:[{index:0,rgb:[0,0,0]},{index:.3,rgb:[230,0,0]},{index:.6,rgb:[255,210,0]},{index:1,rgb:[255,255,255]}],cool:[{index:0,rgb:[0,255,255]},{index:1,rgb:[255,0,255]}],spring:[{index:0,rgb:[255,0,255]},{index:1,rgb:[255,255,0]}],summer:[{index:0,rgb:[0,128,102]},{index:1,rgb:[255,255,102]}],autumn:[{index:0,rgb:[255,0,0]},{index:1,rgb:[255,255,0]}],winter:[{index:0,rgb:[0,0,255]},{index:1,rgb:[0,255,128]}],bone:[{index:0,rgb:[0,0,0]},{index:.376,rgb:[84,84,116]},{index:.753,rgb:[169,200,200]},{index:1,rgb:[255,255,255]}],copper:[{index:0,rgb:[0,0,0]},{index:.804,rgb:[255,160,102]},{index:1,rgb:[255,199,127]}],greys:[{index:0,rgb:[0,0,0]},{index:1,rgb:[255,255,255]}],yignbu:[{index:0,rgb:[8,29,88]},{index:.125,rgb:[37,52,148]},{index:.25,rgb:[34,94,168]},{index:.375,rgb:[29,145,192]},{index:.5,rgb:[65,182,196]},{index:.625,rgb:[127,205,187]},{index:.75,rgb:[199,233,180]},{index:.875,rgb:[237,248,217]},{index:1,rgb:[255,255,217]}],greens:[{index:0,rgb:[0,68,27]},{index:.125,rgb:[0,109,44]},{index:.25,rgb:[35,139,69]},{index:.375,rgb:[65,171,93]},{index:.5,rgb:[116,196,118]},{index:.625,rgb:[161,217,155]},{index:.75,rgb:[199,233,192]},{index:.875,rgb:[229,245,224]},{index:1,rgb:[247,252,245]}],yiorrd:[{index:0,rgb:[128,0,38]},{index:.125,rgb:[189,0,38]},{index:.25,rgb:[227,26,28]},{index:.375,rgb:[252,78,42]},{index:.5,rgb:[253,141,60]},{index:.625,rgb:[254,178,76]},{index:.75,rgb:[254,217,118]},{index:.875,rgb:[255,237,160]},{index:1,rgb:[255,255,204]}],bluered:[{index:0,rgb:[0,0,255]},{index:1,rgb:[255,0,0]}],rdbu:[{index:0,rgb:[5,10,172]},{index:.35,rgb:[106,137,247]},{index:.5,rgb:[190,190,190]},{index:.6,rgb:[220,170,132]},{index:.7,rgb:[230,145,90]},{index:1,rgb:[178,10,28]}],picnic:[{index:0,rgb:[0,0,255]},{index:.1,rgb:[51,153,255]},{index:.2,rgb:[102,204,255]},{index:.3,rgb:[153,204,255]},{index:.4,rgb:[204,204,255]},{index:.5,rgb:[255,255,255]},{index:.6,rgb:[255,204,255]},{index:.7,rgb:[255,153,255]},{index:.8,rgb:[255,102,204]},{index:.9,rgb:[255,102,102]},{index:1,rgb:[255,0,0]}],rainbow:[{index:0,rgb:[150,0,90]},{index:.125,rgb:[0,0,200]},{index:.25,rgb:[0,25,255]},{index:.375,rgb:[0,152,255]},{index:.5,rgb:[44,255,150]},{index:.625,rgb:[151,255,0]},{index:.75,rgb:[255,234,0]},{index:.875,rgb:[255,111,0]},{index:1,rgb:[255,0,0]}],portland:[{index:0,rgb:[12,51,131]},{index:.25,rgb:[10,136,186]},{index:.5,rgb:[242,211,56]},{index:.75,rgb:[242,143,56]},{index:1,rgb:[217,30,30]}],blackbody:[{index:0,rgb:[0,0,0]},{index:.2,rgb:[230,0,0]},{index:.4,rgb:[230,210,0]},{index:.7,rgb:[255,255,255]},{index:1,rgb:[160,200,255]}],earth:[{index:0,rgb:[0,0,130]},{index:.1,rgb:[0,180,180]},{index:.2,rgb:[40,210,40]},{index:.4,rgb:[230,230,50]},{index:.6,rgb:[120,70,20]},{index:1,rgb:[255,255,255]}],electric:[{index:0,rgb:[0,0,0]},{index:.15,rgb:[30,0,100]},{index:.4,rgb:[120,0,100]},{index:.6,rgb:[160,90,0]},{index:.8,rgb:[230,200,0]},{index:1,rgb:[255,250,220]}],alpha:[{index:0,rgb:[255,255,255,0]},{index:1,rgb:[255,255,255,1]}],viridis:[{index:0,rgb:[68,1,84]},{index:.13,rgb:[71,44,122]},{index:.25,rgb:[59,81,139]},{index:.38,rgb:[44,113,142]},{index:.5,rgb:[33,144,141]},{index:.63,rgb:[39,173,129]},{index:.75,rgb:[92,200,99]},{index:.88,rgb:[170,220,50]},{index:1,rgb:[253,231,37]}],inferno:[{index:0,rgb:[0,0,4]},{index:.13,rgb:[31,12,72]},{index:.25,rgb:[85,15,109]},{index:.38,rgb:[136,34,106]},{index:.5,rgb:[186,54,85]},{index:.63,rgb:[227,89,51]},{index:.75,rgb:[249,140,10]},{index:.88,rgb:[249,201,50]},{index:1,rgb:[252,255,164]}],magma:[{index:0,rgb:[0,0,4]},{index:.13,rgb:[28,16,68]},{index:.25,rgb:[79,18,123]},{index:.38,rgb:[129,37,129]},{index:.5,rgb:[181,54,122]},{index:.63,rgb:[229,80,100]},{index:.75,rgb:[251,135,97]},{index:.88,rgb:[254,194,135]},{index:1,rgb:[252,253,191]}],plasma:[{index:0,rgb:[13,8,135]},{index:.13,rgb:[75,3,161]},{index:.25,rgb:[125,3,168]},{index:.38,rgb:[168,34,150]},{index:.5,rgb:[203,70,121]},{index:.63,rgb:[229,107,93]},{index:.75,rgb:[248,148,65]},{index:.88,rgb:[253,195,40]},{index:1,rgb:[240,249,33]}],warm:[{index:0,rgb:[125,0,179]},{index:.13,rgb:[172,0,187]},{index:.25,rgb:[219,0,170]},{index:.38,rgb:[255,0,130]},{index:.5,rgb:[255,63,74]},{index:.63,rgb:[255,123,0]},{index:.75,rgb:[234,176,0]},{index:.88,rgb:[190,228,0]},{index:1,rgb:[147,255,0]}],cool:[{index:0,rgb:[125,0,179]},{index:.13,rgb:[116,0,218]},{index:.25,rgb:[98,74,237]},{index:.38,rgb:[68,146,231]},{index:.5,rgb:[0,204,197]},{index:.63,rgb:[0,247,146]},{index:.75,rgb:[0,255,88]},{index:.88,rgb:[40,255,8]},{index:1,rgb:[147,255,0]}],"rainbow-soft":[{index:0,rgb:[125,0,179]},{index:.1,rgb:[199,0,180]},{index:.2,rgb:[255,0,121]},{index:.3,rgb:[255,108,0]},{index:.4,rgb:[222,194,0]},{index:.5,rgb:[150,255,0]},{index:.6,rgb:[0,255,55]},{index:.7,rgb:[0,246,150]},{index:.8,rgb:[50,167,222]},{index:.9,rgb:[103,51,235]},{index:1,rgb:[124,0,186]}],bathymetry:[{index:0,rgb:[40,26,44]},{index:.13,rgb:[59,49,90]},{index:.25,rgb:[64,76,139]},{index:.38,rgb:[63,110,151]},{index:.5,rgb:[72,142,158]},{index:.63,rgb:[85,174,163]},{index:.75,rgb:[120,206,163]},{index:.88,rgb:[187,230,172]},{index:1,rgb:[253,254,204]}],cdom:[{index:0,rgb:[47,15,62]},{index:.13,rgb:[87,23,86]},{index:.25,rgb:[130,28,99]},{index:.38,rgb:[171,41,96]},{index:.5,rgb:[206,67,86]},{index:.63,rgb:[230,106,84]},{index:.75,rgb:[242,149,103]},{index:.88,rgb:[249,193,135]},{index:1,rgb:[254,237,176]}],chlorophyll:[{index:0,rgb:[18,36,20]},{index:.13,rgb:[25,63,41]},{index:.25,rgb:[24,91,59]},{index:.38,rgb:[13,119,72]},{index:.5,rgb:[18,148,80]},{index:.63,rgb:[80,173,89]},{index:.75,rgb:[132,196,122]},{index:.88,rgb:[175,221,162]},{index:1,rgb:[215,249,208]}],density:[{index:0,rgb:[54,14,36]},{index:.13,rgb:[89,23,80]},{index:.25,rgb:[110,45,132]},{index:.38,rgb:[120,77,178]},{index:.5,rgb:[120,113,213]},{index:.63,rgb:[115,151,228]},{index:.75,rgb:[134,185,227]},{index:.88,rgb:[177,214,227]},{index:1,rgb:[230,241,241]}],"freesurface-blue":[{index:0,rgb:[30,4,110]},{index:.13,rgb:[47,14,176]},{index:.25,rgb:[41,45,236]},{index:.38,rgb:[25,99,212]},{index:.5,rgb:[68,131,200]},{index:.63,rgb:[114,156,197]},{index:.75,rgb:[157,181,203]},{index:.88,rgb:[200,208,216]},{index:1,rgb:[241,237,236]}],"freesurface-red":[{index:0,rgb:[60,9,18]},{index:.13,rgb:[100,17,27]},{index:.25,rgb:[142,20,29]},{index:.38,rgb:[177,43,27]},{index:.5,rgb:[192,87,63]},{index:.63,rgb:[205,125,105]},{index:.75,rgb:[216,162,148]},{index:.88,rgb:[227,199,193]},{index:1,rgb:[241,237,236]}],oxygen:[{index:0,rgb:[64,5,5]},{index:.13,rgb:[106,6,15]},{index:.25,rgb:[144,26,7]},{index:.38,rgb:[168,64,3]},{index:.5,rgb:[188,100,4]},{index:.63,rgb:[206,136,11]},{index:.75,rgb:[220,174,25]},{index:.88,rgb:[231,215,44]},{index:1,rgb:[248,254,105]}],par:[{index:0,rgb:[51,20,24]},{index:.13,rgb:[90,32,35]},{index:.25,rgb:[129,44,34]},{index:.38,rgb:[159,68,25]},{index:.5,rgb:[182,99,19]},{index:.63,rgb:[199,134,22]},{index:.75,rgb:[212,171,35]},{index:.88,rgb:[221,210,54]},{index:1,rgb:[225,253,75]}],phase:[{index:0,rgb:[145,105,18]},{index:.13,rgb:[184,71,38]},{index:.25,rgb:[186,58,115]},{index:.38,rgb:[160,71,185]},{index:.5,rgb:[110,97,218]},{index:.63,rgb:[50,123,164]},{index:.75,rgb:[31,131,110]},{index:.88,rgb:[77,129,34]},{index:1,rgb:[145,105,18]}],salinity:[{index:0,rgb:[42,24,108]},{index:.13,rgb:[33,50,162]},{index:.25,rgb:[15,90,145]},{index:.38,rgb:[40,118,137]},{index:.5,rgb:[59,146,135]},{index:.63,rgb:[79,175,126]},{index:.75,rgb:[120,203,104]},{index:.88,rgb:[193,221,100]},{index:1,rgb:[253,239,154]}],temperature:[{index:0,rgb:[4,35,51]},{index:.13,rgb:[23,51,122]},{index:.25,rgb:[85,59,157]},{index:.38,rgb:[129,79,143]},{index:.5,rgb:[175,95,130]},{index:.63,rgb:[222,112,101]},{index:.75,rgb:[249,146,66]},{index:.88,rgb:[249,196,65]},{index:1,rgb:[232,250,91]}],turbidity:[{index:0,rgb:[34,31,27]},{index:.13,rgb:[65,50,41]},{index:.25,rgb:[98,69,52]},{index:.38,rgb:[131,89,57]},{index:.5,rgb:[161,112,59]},{index:.63,rgb:[185,140,66]},{index:.75,rgb:[202,174,88]},{index:.88,rgb:[216,209,126]},{index:1,rgb:[233,246,171]}],"velocity-blue":[{index:0,rgb:[17,32,64]},{index:.13,rgb:[35,52,116]},{index:.25,rgb:[29,81,156]},{index:.38,rgb:[31,113,162]},{index:.5,rgb:[50,144,169]},{index:.63,rgb:[87,173,176]},{index:.75,rgb:[149,196,189]},{index:.88,rgb:[203,221,211]},{index:1,rgb:[254,251,230]}],"velocity-green":[{index:0,rgb:[23,35,19]},{index:.13,rgb:[24,64,38]},{index:.25,rgb:[11,95,45]},{index:.38,rgb:[39,123,35]},{index:.5,rgb:[95,146,12]},{index:.63,rgb:[152,165,18]},{index:.75,rgb:[201,186,69]},{index:.88,rgb:[233,216,137]},{index:1,rgb:[255,253,205]}],cubehelix:[{index:0,rgb:[0,0,0]},{index:.07,rgb:[22,5,59]},{index:.13,rgb:[60,4,105]},{index:.2,rgb:[109,1,135]},{index:.27,rgb:[161,0,147]},{index:.33,rgb:[210,2,142]},{index:.4,rgb:[251,11,123]},{index:.47,rgb:[255,29,97]},{index:.53,rgb:[255,54,69]},{index:.6,rgb:[255,85,46]},{index:.67,rgb:[255,120,34]},{index:.73,rgb:[255,157,37]},{index:.8,rgb:[241,191,57]},{index:.87,rgb:[224,220,93]},{index:.93,rgb:[218,241,142]},{index:1,rgb:[227,253,198]}]}},{}],131:[function(t,e,r){"use strict";var n=t("./colorScale"),i=t("lerp");function a(t){return[t[0]/255,t[1]/255,t[2]/255,t[3]]}function o(t){for(var e,r="#",n=0;n<3;++n)r+=("00"+(e=(e=t[n]).toString(16))).substr(e.length);return r}function s(t){return"rgba("+t.join(",")+")"}e.exports=function(t){var e,r,l,c,u,h,f,p,d,g;t||(t={});p=(t.nshades||72)-1,f=t.format||"hex",(h=t.colormap)||(h="jet");if("string"==typeof h){if(h=h.toLowerCase(),!n[h])throw Error(h+" not a supported colorscale");u=n[h]}else{if(!Array.isArray(h))throw Error("unsupported colormap option",h);u=h.slice()}if(u.length>p+1)throw new Error(h+" map requires nshades to be at least size "+u.length);d=Array.isArray(t.alpha)?2!==t.alpha.length?[1,1]:t.alpha.slice():"number"==typeof t.alpha?[t.alpha,t.alpha]:[1,1];e=u.map((function(t){return Math.round(t.index*p)})),d[0]=Math.min(Math.max(d[0],0),1),d[1]=Math.min(Math.max(d[1],0),1);var m=u.map((function(t,e){var r=u[e].index,n=u[e].rgb.slice();return 4===n.length&&n[3]>=0&&n[3]<=1||(n[3]=d[0]+(d[1]-d[0])*r),n})),v=[];for(g=0;g<e.length-1;++g){c=e[g+1]-e[g],r=m[g],l=m[g+1];for(var y=0;y<c;y++){var x=y/c;v.push([Math.round(i(r[0],l[0],x)),Math.round(i(r[1],l[1],x)),Math.round(i(r[2],l[2],x)),i(r[3],l[3],x)])}}v.push(u[u.length-1].rgb.concat(d[1])),"hex"===f?v=v.map(o):"rgbaString"===f?v=v.map(s):"float"===f&&(v=v.map(a));return v}},{"./colorScale":130,lerp:446}],132:[function(t,e,r){"use strict";e.exports=function(t,e,r,a){var o=n(e,r,a);if(0===o){var s=i(n(t,e,r)),c=i(n(t,e,a));if(s===c){if(0===s){var u=l(t,e,r),h=l(t,e,a);return u===h?0:u?1:-1}return 0}return 0===c?s>0||l(t,e,a)?-1:1:0===s?c>0||l(t,e,r)?1:-1:i(c-s)}var f=n(t,e,r);return f>0?o>0&&n(t,e,a)>0?1:-1:f<0?o>0||n(t,e,a)>0?1:-1:n(t,e,a)>0||l(t,e,r)?1:-1};var n=t("robust-orientation"),i=t("signum"),a=t("two-sum"),o=t("robust-product"),s=t("robust-sum");function l(t,e,r){var n=a(t[0],-e[0]),i=a(t[1],-e[1]),l=a(r[0],-e[0]),c=a(r[1],-e[1]),u=s(o(n,l),o(i,c));return u[u.length-1]>=0}},{"robust-orientation":520,"robust-product":521,"robust-sum":525,signum:526,"two-sum":555}],133:[function(t,e,r){e.exports=function(t,e){var r=t.length,a=t.length-e.length;if(a)return a;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return t[0]+t[1]-e[0]-e[1]||n(t[0],t[1])-n(e[0],e[1]);case 3:var o=t[0]+t[1],s=e[0]+e[1];if(a=o+t[2]-(s+e[2]))return a;var l=n(t[0],t[1]),c=n(e[0],e[1]);return n(l,t[2])-n(c,e[2])||n(l+t[2],o)-n(c+e[2],s);case 4:var u=t[0],h=t[1],f=t[2],p=t[3],d=e[0],g=e[1],m=e[2],v=e[3];return u+h+f+p-(d+g+m+v)||n(u,h,f,p)-n(d,g,m,v,d)||n(u+h,u+f,u+p,h+f,h+p,f+p)-n(d+g,d+m,d+v,g+m,g+v,m+v)||n(u+h+f,u+h+p,u+f+p,h+f+p)-n(d+g+m,d+g+v,d+m+v,g+m+v);default:for(var y=t.slice().sort(i),x=e.slice().sort(i),b=0;b<r;++b)if(a=y[b]-x[b])return a;return 0}};var n=Math.min;function i(t,e){return t-e}},{}],134:[function(t,e,r){"use strict";var n=t("compare-cell"),i=t("cell-orientation");e.exports=function(t,e){return n(t,e)||i(t)-i(e)}},{"cell-orientation":117,"compare-cell":133}],135:[function(t,e,r){"use strict";var n=t("./lib/ch1d"),i=t("./lib/ch2d"),a=t("./lib/chnd");e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[[0]];var r=t[0].length;if(0===r)return[];if(1===r)return n(t);if(2===r)return i(t);return a(t,r)}},{"./lib/ch1d":136,"./lib/ch2d":137,"./lib/chnd":138}],136:[function(t,e,r){"use strict";e.exports=function(t){for(var e=0,r=0,n=1;n<t.length;++n)t[n][0]<t[e][0]&&(e=n),t[n][0]>t[r][0]&&(r=n);return e<r?[[e],[r]]:e>r?[[r],[e]]:[[e]]}},{}],137:[function(t,e,r){"use strict";e.exports=function(t){var e=n(t),r=e.length;if(r<=2)return[];for(var i=new Array(r),a=e[r-1],o=0;o<r;++o){var s=e[o];i[o]=[a,s],a=s}return i};var n=t("monotone-convex-hull-2d")},{"monotone-convex-hull-2d":456}],138:[function(t,e,r){"use strict";e.exports=function(t,e){try{return n(t,!0)}catch(o){var r=i(t);if(r.length<=e)return[];var a=function(t,e){for(var r=t.length,n=new Array(r),i=0;i<e.length;++i)n[i]=t[e[i]];var a=e.length;for(i=0;i<r;++i)e.indexOf(i)<0&&(n[a++]=t[i]);return n}(t,r);return function(t,e){for(var r=t.length,n=e.length,i=0;i<r;++i)for(var a=t[i],o=0;o<a.length;++o){var s=a[o];if(s<n)a[o]=e[s];else{s-=n;for(var l=0;l<n;++l)s>=e[l]&&(s+=1);a[o]=s}}return t}(n(a,!0),r)}};var n=t("incremental-convex-hull"),i=t("affine-hull")},{"affine-hull":67,"incremental-convex-hull":433}],139:[function(t,e,r){e.exports={AFG:"afghan",ALA:"\\b\\wland",ALB:"albania",DZA:"algeria",ASM:"^(?=.*americ).*samoa",AND:"andorra",AGO:"angola",AIA:"anguill?a",ATA:"antarctica",ATG:"antigua",ARG:"argentin",ARM:"armenia",ABW:"^(?!.*bonaire).*\\baruba",AUS:"australia",AUT:"^(?!.*hungary).*austria|\\baustri.*\\bemp",AZE:"azerbaijan",BHS:"bahamas",BHR:"bahrain",BGD:"bangladesh|^(?=.*east).*paki?stan",BRB:"barbados",BLR:"belarus|byelo",BEL:"^(?!.*luxem).*belgium",BLZ:"belize|^(?=.*british).*honduras",BEN:"benin|dahome",BMU:"bermuda",BTN:"bhutan",BOL:"bolivia",BES:"^(?=.*bonaire).*eustatius|^(?=.*carib).*netherlands|\\bbes.?islands",BIH:"herzegovina|bosnia",BWA:"botswana|bechuana",BVT:"bouvet",BRA:"brazil",IOT:"british.?indian.?ocean",BRN:"brunei",BGR:"bulgaria",BFA:"burkina|\\bfaso|upper.?volta",BDI:"burundi",CPV:"verde",KHM:"cambodia|kampuchea|khmer",CMR:"cameroon",CAN:"canada",CYM:"cayman",CAF:"\\bcentral.african.republic",TCD:"\\bchad",CHL:"\\bchile",CHN:"^(?!.*\\bmac)(?!.*\\bhong)(?!.*\\btai)(?!.*\\brep).*china|^(?=.*peo)(?=.*rep).*china",CXR:"christmas",CCK:"\\bcocos|keeling",COL:"colombia",COM:"comoro",COG:"^(?!.*\\bdem)(?!.*\\bd[\\.]?r)(?!.*kinshasa)(?!.*zaire)(?!.*belg)(?!.*l.opoldville)(?!.*free).*\\bcongo",COK:"\\bcook",CRI:"costa.?rica",CIV:"ivoire|ivory",HRV:"croatia",CUB:"\\bcuba",CUW:"^(?!.*bonaire).*\\bcura(c|\xe7)ao",CYP:"cyprus",CSK:"czechoslovakia",CZE:"^(?=.*rep).*czech|czechia|bohemia",COD:"\\bdem.*congo|congo.*\\bdem|congo.*\\bd[\\.]?r|\\bd[\\.]?r.*congo|belgian.?congo|congo.?free.?state|kinshasa|zaire|l.opoldville|drc|droc|rdc",DNK:"denmark",DJI:"djibouti",DMA:"dominica(?!n)",DOM:"dominican.rep",ECU:"ecuador",EGY:"egypt",SLV:"el.?salvador",GNQ:"guine.*eq|eq.*guine|^(?=.*span).*guinea",ERI:"eritrea",EST:"estonia",ETH:"ethiopia|abyssinia",FLK:"falkland|malvinas",FRO:"faroe|faeroe",FJI:"fiji",FIN:"finland",FRA:"^(?!.*\\bdep)(?!.*martinique).*france|french.?republic|\\bgaul",GUF:"^(?=.*french).*guiana",PYF:"french.?polynesia|tahiti",ATF:"french.?southern",GAB:"gabon",GMB:"gambia",GEO:"^(?!.*south).*georgia",DDR:"german.?democratic.?republic|democratic.?republic.*germany|east.germany",DEU:"^(?!.*east).*germany|^(?=.*\\bfed.*\\brep).*german",GHA:"ghana|gold.?coast",GIB:"gibraltar",GRC:"greece|hellenic|hellas",GRL:"greenland",GRD:"grenada",GLP:"guadeloupe",GUM:"\\bguam",GTM:"guatemala",GGY:"guernsey",GIN:"^(?!.*eq)(?!.*span)(?!.*bissau)(?!.*portu)(?!.*new).*guinea",GNB:"bissau|^(?=.*portu).*guinea",GUY:"guyana|british.?guiana",HTI:"haiti",HMD:"heard.*mcdonald",VAT:"holy.?see|vatican|papal.?st",HND:"^(?!.*brit).*honduras",HKG:"hong.?kong",HUN:"^(?!.*austr).*hungary",ISL:"iceland",IND:"india(?!.*ocea)",IDN:"indonesia",IRN:"\\biran|persia",IRQ:"\\biraq|mesopotamia",IRL:"(^ireland)|(^republic.*ireland)",IMN:"^(?=.*isle).*\\bman",ISR:"israel",ITA:"italy",JAM:"jamaica",JPN:"japan",JEY:"jersey",JOR:"jordan",KAZ:"kazak",KEN:"kenya|british.?east.?africa|east.?africa.?prot",KIR:"kiribati",PRK:"^(?=.*democrat|people|north|d.*p.*.r).*\\bkorea|dprk|korea.*(d.*p.*r)",KWT:"kuwait",KGZ:"kyrgyz|kirghiz",LAO:"\\blaos?\\b",LVA:"latvia",LBN:"lebanon",LSO:"lesotho|basuto",LBR:"liberia",LBY:"libya",LIE:"liechtenstein",LTU:"lithuania",LUX:"^(?!.*belg).*luxem",MAC:"maca(o|u)",MDG:"madagascar|malagasy",MWI:"malawi|nyasa",MYS:"malaysia",MDV:"maldive",MLI:"\\bmali\\b",MLT:"\\bmalta",MHL:"marshall",MTQ:"martinique",MRT:"mauritania",MUS:"mauritius",MYT:"\\bmayotte",MEX:"\\bmexic",FSM:"fed.*micronesia|micronesia.*fed",MCO:"monaco",MNG:"mongolia",MNE:"^(?!.*serbia).*montenegro",MSR:"montserrat",MAR:"morocco|\\bmaroc",MOZ:"mozambique",MMR:"myanmar|burma",NAM:"namibia",NRU:"nauru",NPL:"nepal",NLD:"^(?!.*\\bant)(?!.*\\bcarib).*netherlands",ANT:"^(?=.*\\bant).*(nether|dutch)",NCL:"new.?caledonia",NZL:"new.?zealand",NIC:"nicaragua",NER:"\\bniger(?!ia)",NGA:"nigeria",NIU:"niue",NFK:"norfolk",MNP:"mariana",NOR:"norway",OMN:"\\boman|trucial",PAK:"^(?!.*east).*paki?stan",PLW:"palau",PSE:"palestin|\\bgaza|west.?bank",PAN:"panama",PNG:"papua|new.?guinea",PRY:"paraguay",PER:"peru",PHL:"philippines",PCN:"pitcairn",POL:"poland",PRT:"portugal",PRI:"puerto.?rico",QAT:"qatar",KOR:"^(?!.*d.*p.*r)(?!.*democrat)(?!.*people)(?!.*north).*\\bkorea(?!.*d.*p.*r)",MDA:"moldov|b(a|e)ssarabia",REU:"r(e|\xe9)union",ROU:"r(o|u|ou)mania",RUS:"\\brussia|soviet.?union|u\\.?s\\.?s\\.?r|socialist.?republics",RWA:"rwanda",BLM:"barth(e|\xe9)lemy",SHN:"helena",KNA:"kitts|\\bnevis",LCA:"\\blucia",MAF:"^(?=.*collectivity).*martin|^(?=.*france).*martin(?!ique)|^(?=.*french).*martin(?!ique)",SPM:"miquelon",VCT:"vincent",WSM:"^(?!.*amer).*samoa",SMR:"san.?marino",STP:"\\bs(a|\xe3)o.?tom(e|\xe9)",SAU:"\\bsa\\w*.?arabia",SEN:"senegal",SRB:"^(?!.*monte).*serbia",SYC:"seychell",SLE:"sierra",SGP:"singapore",SXM:"^(?!.*martin)(?!.*saba).*maarten",SVK:"^(?!.*cze).*slovak",SVN:"slovenia",SLB:"solomon",SOM:"somali",ZAF:"south.africa|s\\\\..?africa",SGS:"south.?georgia|sandwich",SSD:"\\bs\\w*.?sudan",ESP:"spain",LKA:"sri.?lanka|ceylon",SDN:"^(?!.*\\bs(?!u)).*sudan",SUR:"surinam|dutch.?guiana",SJM:"svalbard",SWZ:"swaziland",SWE:"sweden",CHE:"switz|swiss",SYR:"syria",TWN:"taiwan|taipei|formosa|^(?!.*peo)(?=.*rep).*china",TJK:"tajik",THA:"thailand|\\bsiam",MKD:"macedonia|fyrom",TLS:"^(?=.*leste).*timor|^(?=.*east).*timor",TGO:"togo",TKL:"tokelau",TON:"tonga",TTO:"trinidad|tobago",TUN:"tunisia",TUR:"turkey",TKM:"turkmen",TCA:"turks",TUV:"tuvalu",UGA:"uganda",UKR:"ukrain",ARE:"emirates|^u\\.?a\\.?e\\.?$|united.?arab.?em",GBR:"united.?kingdom|britain|^u\\.?k\\.?$",TZA:"tanzania",USA:"united.?states\\b(?!.*islands)|\\bu\\.?s\\.?a\\.?\\b|^\\s*u\\.?s\\.?\\b(?!.*islands)",UMI:"minor.?outlying.?is",URY:"uruguay",UZB:"uzbek",VUT:"vanuatu|new.?hebrides",VEN:"venezuela",VNM:"^(?!.*republic).*viet.?nam|^(?=.*socialist).*viet.?nam",VGB:"^(?=.*\\bu\\.?\\s?k).*virgin|^(?=.*brit).*virgin|^(?=.*kingdom).*virgin",VIR:"^(?=.*\\bu\\.?\\s?s).*virgin|^(?=.*states).*virgin",WLF:"futuna|wallis",ESH:"western.sahara",YEM:"^(?!.*arab)(?!.*north)(?!.*sana)(?!.*peo)(?!.*dem)(?!.*south)(?!.*aden)(?!.*\\bp\\.?d\\.?r).*yemen",YMD:"^(?=.*peo).*yemen|^(?!.*rep)(?=.*dem).*yemen|^(?=.*south).*yemen|^(?=.*aden).*yemen|^(?=.*\\bp\\.?d\\.?r).*yemen",YUG:"yugoslavia",ZMB:"zambia|northern.?rhodesia",EAZ:"zanzibar",ZWE:"zimbabwe|^(?!.*northern).*rhodesia"}},{}],140:[function(t,e,r){e.exports=["xx-small","x-small","small","medium","large","x-large","xx-large","larger","smaller"]},{}],141:[function(t,e,r){e.exports=["normal","condensed","semi-condensed","extra-condensed","ultra-condensed","expanded","semi-expanded","extra-expanded","ultra-expanded"]},{}],142:[function(t,e,r){e.exports=["normal","italic","oblique"]},{}],143:[function(t,e,r){e.exports=["normal","bold","bolder","lighter","100","200","300","400","500","600","700","800","900"]},{}],144:[function(t,e,r){"use strict";e.exports={parse:t("./parse"),stringify:t("./stringify")}},{"./parse":146,"./stringify":147}],145:[function(t,e,r){"use strict";var n=t("css-font-size-keywords");e.exports={isSize:function(t){return/^[\d\.]/.test(t)||-1!==t.indexOf("/")||-1!==n.indexOf(t)}}},{"css-font-size-keywords":140}],146:[function(t,e,r){"use strict";var n=t("unquote"),i=t("css-global-keywords"),a=t("css-system-font-keywords"),o=t("css-font-weight-keywords"),s=t("css-font-style-keywords"),l=t("css-font-stretch-keywords"),c=t("string-split-by"),u=t("./lib/util").isSize;e.exports=f;var h=f.cache={};function f(t){if("string"!=typeof t)throw new Error("Font argument must be a string.");if(h[t])return h[t];if(""===t)throw new Error("Cannot parse an empty string.");if(-1!==a.indexOf(t))return h[t]={system:t};for(var e,r={style:"normal",variant:"normal",weight:"normal",stretch:"normal",lineHeight:"normal",size:"1rem",family:["serif"]},f=c(t,/\s+/);e=f.shift();){if(-1!==i.indexOf(e))return["style","variant","weight","stretch"].forEach((function(t){r[t]=e})),h[t]=r;if(-1===s.indexOf(e))if("normal"!==e&&"small-caps"!==e)if(-1===l.indexOf(e)){if(-1===o.indexOf(e)){if(u(e)){var d=c(e,"/");if(r.size=d[0],null!=d[1]?r.lineHeight=p(d[1]):"/"===f[0]&&(f.shift(),r.lineHeight=p(f.shift())),!f.length)throw new Error("Missing required font-family.");return r.family=c(f.join(" "),/\s*,\s*/).map(n),h[t]=r}throw new Error("Unknown or unsupported font token: "+e)}r.weight=e}else r.stretch=e;else r.variant=e;else r.style=e}throw new Error("Missing required font-size.")}function p(t){var e=parseFloat(t);return e.toString()===t?e:t}},{"./lib/util":145,"css-font-stretch-keywords":141,"css-font-style-keywords":142,"css-font-weight-keywords":143,"css-global-keywords":148,"css-system-font-keywords":149,"string-split-by":540,unquote:570}],147:[function(t,e,r){"use strict";var n=t("pick-by-alias"),i=t("./lib/util").isSize,a=g(t("css-global-keywords")),o=g(t("css-system-font-keywords")),s=g(t("css-font-weight-keywords")),l=g(t("css-font-style-keywords")),c=g(t("css-font-stretch-keywords")),u={normal:1,"small-caps":1},h={serif:1,"sans-serif":1,monospace:1,cursive:1,fantasy:1,"system-ui":1},f="1rem",p="serif";function d(t,e){if(t&&!e[t]&&!a[t])throw Error("Unknown keyword `"+t+"`");return t}function g(t){for(var e={},r=0;r<t.length;r++)e[t[r]]=1;return e}e.exports=function(t){if((t=n(t,{style:"style fontstyle fontStyle font-style slope distinction",variant:"variant font-variant fontVariant fontvariant var capitalization",weight:"weight w font-weight fontWeight fontweight",stretch:"stretch font-stretch fontStretch fontstretch width",size:"size s font-size fontSize fontsize height em emSize",lineHeight:"lh line-height lineHeight lineheight leading",family:"font family fontFamily font-family fontfamily type typeface face",system:"system reserved default global"})).system)return t.system&&d(t.system,o),t.system;if(d(t.style,l),d(t.variant,u),d(t.weight,s),d(t.stretch,c),null==t.size&&(t.size=f),"number"==typeof t.size&&(t.size+="px"),!i)throw Error("Bad size value `"+t.size+"`");t.family||(t.family=p),Array.isArray(t.family)&&(t.family.length||(t.family=[p]),t.family=t.family.map((function(t){return h[t]?t:'"'+t+'"'})).join(", "));var e=[];return e.push(t.style),t.variant!==t.style&&e.push(t.variant),t.weight!==t.variant&&t.weight!==t.style&&e.push(t.weight),t.stretch!==t.weight&&t.stretch!==t.variant&&t.stretch!==t.style&&e.push(t.stretch),e.push(t.size+(null==t.lineHeight||"normal"===t.lineHeight||t.lineHeight+""=="1"?"":"/"+t.lineHeight)),e.push(t.family),e.filter(Boolean).join(" ")}},{"./lib/util":145,"css-font-stretch-keywords":141,"css-font-style-keywords":142,"css-font-weight-keywords":143,"css-global-keywords":148,"css-system-font-keywords":149,"pick-by-alias":485}],148:[function(t,e,r){e.exports=["inherit","initial","unset"]},{}],149:[function(t,e,r){e.exports=["caption","icon","menu","message-box","small-caption","status-bar"]},{}],150:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i,a){var o=i-1,s=i*i,l=o*o,c=(1+2*i)*l,u=i*l,h=s*(3-2*i),f=s*o;if(t.length){a||(a=new Array(t.length));for(var p=t.length-1;p>=0;--p)a[p]=c*t[p]+u*e[p]+h*r[p]+f*n[p];return a}return c*t+u*e+h*r+f*n},e.exports.derivative=function(t,e,r,n,i,a){var o=6*i*i-6*i,s=3*i*i-4*i+1,l=-6*i*i+6*i,c=3*i*i-2*i;if(t.length){a||(a=new Array(t.length));for(var u=t.length-1;u>=0;--u)a[u]=o*t[u]+s*e[u]+l*r[u]+c*n[u];return a}return o*t+s*e+l*r[u]+c*n}},{}],151:[function(t,e,r){"use strict";var n=t("./lib/thunk.js");function i(){this.argTypes=[],this.shimArgs=[],this.arrayArgs=[],this.arrayBlockIndices=[],this.scalarArgs=[],this.offsetArgs=[],this.offsetArgIndex=[],this.indexArgs=[],this.shapeArgs=[],this.funcName="",this.pre=null,this.body=null,this.post=null,this.debug=!1}e.exports=function(t){var e=new i;e.pre=t.pre,e.body=t.body,e.post=t.post;var r=t.args.slice(0);e.argTypes=r;for(var a=0;a<r.length;++a){var o=r[a];if("array"===o||"object"==typeof o&&o.blockIndices){if(e.argTypes[a]="array",e.arrayArgs.push(a),e.arrayBlockIndices.push(o.blockIndices?o.blockIndices:0),e.shimArgs.push("array"+a),a<e.pre.args.length&&e.pre.args[a].count>0)throw new Error("cwise: pre() block may not reference array args");if(a<e.post.args.length&&e.post.args[a].count>0)throw new Error("cwise: post() block may not reference array args")}else if("scalar"===o)e.scalarArgs.push(a),e.shimArgs.push("scalar"+a);else if("index"===o){if(e.indexArgs.push(a),a<e.pre.args.length&&e.pre.args[a].count>0)throw new Error("cwise: pre() block may not reference array index");if(a<e.body.args.length&&e.body.args[a].lvalue)throw new Error("cwise: body() block may not write to array index");if(a<e.post.args.length&&e.post.args[a].count>0)throw new Error("cwise: post() block may not reference array index")}else if("shape"===o){if(e.shapeArgs.push(a),a<e.pre.args.length&&e.pre.args[a].lvalue)throw new Error("cwise: pre() block may not write to array shape");if(a<e.body.args.length&&e.body.args[a].lvalue)throw new Error("cwise: body() block may not write to array shape");if(a<e.post.args.length&&e.post.args[a].lvalue)throw new Error("cwise: post() block may not write to array shape")}else{if("object"!=typeof o||!o.offset)throw new Error("cwise: Unknown argument type "+r[a]);e.argTypes[a]="offset",e.offsetArgs.push({array:o.array,offset:o.offset}),e.offsetArgIndex.push(a)}}if(e.arrayArgs.length<=0)throw new Error("cwise: No array arguments specified");if(e.pre.args.length>r.length)throw new Error("cwise: Too many arguments in pre() block");if(e.body.args.length>r.length)throw new Error("cwise: Too many arguments in body() block");if(e.post.args.length>r.length)throw new Error("cwise: Too many arguments in post() block");return e.debug=!!t.printCode||!!t.debug,e.funcName=t.funcName||"cwise",e.blockSize=t.blockSize||64,n(e)}},{"./lib/thunk.js":153}],152:[function(t,e,r){"use strict";var n=t("uniq");function i(t,e,r){var n,i,a=t.length,o=e.arrayArgs.length,s=e.indexArgs.length>0,l=[],c=[],u=0,h=0;for(n=0;n<a;++n)c.push(["i",n,"=0"].join(""));for(i=0;i<o;++i)for(n=0;n<a;++n)h=u,u=t[n],0===n?c.push(["d",i,"s",n,"=t",i,"p",u].join("")):c.push(["d",i,"s",n,"=(t",i,"p",u,"-s",h,"*t",i,"p",h,")"].join(""));for(c.length>0&&l.push("var "+c.join(",")),n=a-1;n>=0;--n)u=t[n],l.push(["for(i",n,"=0;i",n,"<s",u,";++i",n,"){"].join(""));for(l.push(r),n=0;n<a;++n){for(h=u,u=t[n],i=0;i<o;++i)l.push(["p",i,"+=d",i,"s",n].join(""));s&&(n>0&&l.push(["index[",h,"]-=s",h].join("")),l.push(["++index[",u,"]"].join(""))),l.push("}")}return l.join("\n")}function a(t,e,r){for(var n=t.body,i=[],a=[],o=0;o<t.args.length;++o){var s=t.args[o];if(!(s.count<=0)){var l=new RegExp(s.name,"g"),c="",u=e.arrayArgs.indexOf(o);switch(e.argTypes[o]){case"offset":var h=e.offsetArgIndex.indexOf(o);u=e.offsetArgs[h].array,c="+q"+h;case"array":c="p"+u+c;var f="l"+o,p="a"+u;if(0===e.arrayBlockIndices[u])1===s.count?"generic"===r[u]?s.lvalue?(i.push(["var ",f,"=",p,".get(",c,")"].join("")),n=n.replace(l,f),a.push([p,".set(",c,",",f,")"].join(""))):n=n.replace(l,[p,".get(",c,")"].join("")):n=n.replace(l,[p,"[",c,"]"].join("")):"generic"===r[u]?(i.push(["var ",f,"=",p,".get(",c,")"].join("")),n=n.replace(l,f),s.lvalue&&a.push([p,".set(",c,",",f,")"].join(""))):(i.push(["var ",f,"=",p,"[",c,"]"].join("")),n=n.replace(l,f),s.lvalue&&a.push([p,"[",c,"]=",f].join("")));else{for(var d=[s.name],g=[c],m=0;m<Math.abs(e.arrayBlockIndices[u]);m++)d.push("\\s*\\[([^\\]]+)\\]"),g.push("$"+(m+1)+"*t"+u+"b"+m);if(l=new RegExp(d.join(""),"g"),c=g.join("+"),"generic"===r[u])throw new Error("cwise: Generic arrays not supported in combination with blocks!");n=n.replace(l,[p,"[",c,"]"].join(""))}break;case"scalar":n=n.replace(l,"Y"+e.scalarArgs.indexOf(o));break;case"index":n=n.replace(l,"index");break;case"shape":n=n.replace(l,"shape")}}}return[i.join("\n"),n,a.join("\n")].join("\n").trim()}function o(t){for(var e=new Array(t.length),r=!0,n=0;n<t.length;++n){var i=t[n],a=i.match(/\d+/);a=a?a[0]:"",0===i.charAt(0)?e[n]="u"+i.charAt(1)+a:e[n]=i.charAt(0)+a,n>0&&(r=r&&e[n]===e[n-1])}return r?e[0]:e.join("")}e.exports=function(t,e){for(var r=e[1].length-Math.abs(t.arrayBlockIndices[0])|0,s=new Array(t.arrayArgs.length),l=new Array(t.arrayArgs.length),c=0;c<t.arrayArgs.length;++c)l[c]=e[2*c],s[c]=e[2*c+1];var u=[],h=[],f=[],p=[],d=[];for(c=0;c<t.arrayArgs.length;++c){t.arrayBlockIndices[c]<0?(f.push(0),p.push(r),u.push(r),h.push(r+t.arrayBlockIndices[c])):(f.push(t.arrayBlockIndices[c]),p.push(t.arrayBlockIndices[c]+r),u.push(0),h.push(t.arrayBlockIndices[c]));for(var g=[],m=0;m<s[c].length;m++)f[c]<=s[c][m]&&s[c][m]<p[c]&&g.push(s[c][m]-f[c]);d.push(g)}var v=["SS"],y=["'use strict'"],x=[];for(m=0;m<r;++m)x.push(["s",m,"=SS[",m,"]"].join(""));for(c=0;c<t.arrayArgs.length;++c){v.push("a"+c),v.push("t"+c),v.push("p"+c);for(m=0;m<r;++m)x.push(["t",c,"p",m,"=t",c,"[",f[c]+m,"]"].join(""));for(m=0;m<Math.abs(t.arrayBlockIndices[c]);++m)x.push(["t",c,"b",m,"=t",c,"[",u[c]+m,"]"].join(""))}for(c=0;c<t.scalarArgs.length;++c)v.push("Y"+c);if(t.shapeArgs.length>0&&x.push("shape=SS.slice(0)"),t.indexArgs.length>0){var b=new Array(r);for(c=0;c<r;++c)b[c]="0";x.push(["index=[",b.join(","),"]"].join(""))}for(c=0;c<t.offsetArgs.length;++c){var _=t.offsetArgs[c],w=[];for(m=0;m<_.offset.length;++m)0!==_.offset[m]&&(1===_.offset[m]?w.push(["t",_.array,"p",m].join("")):w.push([_.offset[m],"*t",_.array,"p",m].join("")));0===w.length?x.push("q"+c+"=0"):x.push(["q",c,"=",w.join("+")].join(""))}var T=n([].concat(t.pre.thisVars).concat(t.body.thisVars).concat(t.post.thisVars));for((x=x.concat(T)).length>0&&y.push("var "+x.join(",")),c=0;c<t.arrayArgs.length;++c)y.push("p"+c+"|=0");t.pre.body.length>3&&y.push(a(t.pre,t,l));var k=a(t.body,t,l),M=function(t){for(var e=0,r=t[0].length;e<r;){for(var n=1;n<t.length;++n)if(t[n][e]!==t[0][e])return e;++e}return e}(d);M<r?y.push(function(t,e,r,n){for(var a=e.length,o=r.arrayArgs.length,s=r.blockSize,l=r.indexArgs.length>0,c=[],u=0;u<o;++u)c.push(["var offset",u,"=p",u].join(""));for(u=t;u<a;++u)c.push(["for(var j"+u+"=SS[",e[u],"]|0;j",u,">0;){"].join("")),c.push(["if(j",u,"<",s,"){"].join("")),c.push(["s",e[u],"=j",u].join("")),c.push(["j",u,"=0"].join("")),c.push(["}else{s",e[u],"=",s].join("")),c.push(["j",u,"-=",s,"}"].join("")),l&&c.push(["index[",e[u],"]=j",u].join(""));for(u=0;u<o;++u){for(var h=["offset"+u],f=t;f<a;++f)h.push(["j",f,"*t",u,"p",e[f]].join(""));c.push(["p",u,"=(",h.join("+"),")"].join(""))}for(c.push(i(e,r,n)),u=t;u<a;++u)c.push("}");return c.join("\n")}(M,d[0],t,k)):y.push(i(d[0],t,k)),t.post.body.length>3&&y.push(a(t.post,t,l)),t.debug&&console.log("-----Generated cwise routine for ",e,":\n"+y.join("\n")+"\n----------");var A=[t.funcName||"unnamed","_cwise_loop_",s[0].join("s"),"m",M,o(l)].join("");return new Function(["function ",A,"(",v.join(","),"){",y.join("\n"),"} return ",A].join(""))()}},{uniq:569}],153:[function(t,e,r){"use strict";var n=t("./compile.js");e.exports=function(t){var e=["'use strict'","var CACHED={}"],r=[],i=t.funcName+"_cwise_thunk";e.push(["return function ",i,"(",t.shimArgs.join(","),"){"].join(""));for(var a=[],o=[],s=[["array",t.arrayArgs[0],".shape.slice(",Math.max(0,t.arrayBlockIndices[0]),t.arrayBlockIndices[0]<0?","+t.arrayBlockIndices[0]+")":")"].join("")],l=[],c=[],u=0;u<t.arrayArgs.length;++u){var h=t.arrayArgs[u];r.push(["t",h,"=array",h,".dtype,","r",h,"=array",h,".order"].join("")),a.push("t"+h),a.push("r"+h),o.push("t"+h),o.push("r"+h+".join()"),s.push("array"+h+".data"),s.push("array"+h+".stride"),s.push("array"+h+".offset|0"),u>0&&(l.push("array"+t.arrayArgs[0]+".shape.length===array"+h+".shape.length+"+(Math.abs(t.arrayBlockIndices[0])-Math.abs(t.arrayBlockIndices[u]))),c.push("array"+t.arrayArgs[0]+".shape[shapeIndex+"+Math.max(0,t.arrayBlockIndices[0])+"]===array"+h+".shape[shapeIndex+"+Math.max(0,t.arrayBlockIndices[u])+"]"))}for(t.arrayArgs.length>1&&(e.push("if (!("+l.join(" && ")+")) throw new Error('cwise: Arrays do not all have the same dimensionality!')"),e.push("for(var shapeIndex=array"+t.arrayArgs[0]+".shape.length-"+Math.abs(t.arrayBlockIndices[0])+"; shapeIndex--\x3e0;) {"),e.push("if (!("+c.join(" && ")+")) throw new Error('cwise: Arrays do not all have the same shape!')"),e.push("}")),u=0;u<t.scalarArgs.length;++u)s.push("scalar"+t.scalarArgs[u]);return r.push(["type=[",o.join(","),"].join()"].join("")),r.push("proc=CACHED[type]"),e.push("var "+r.join(",")),e.push(["if(!proc){","CACHED[type]=proc=compile([",a.join(","),"])}","return proc(",s.join(","),")}"].join("")),t.debug&&console.log("-----Generated thunk:\n"+e.join("\n")+"\n----------"),new Function("compile",e.join("\n"))(n.bind(void 0,t))}},{"./compile.js":152}],154:[function(t,e,r){"use strict";var n,i=t("type/value/is"),a=t("type/value/ensure"),o=t("type/plain-function/ensure"),s=t("es5-ext/object/copy"),l=t("es5-ext/object/normalize-options"),c=t("es5-ext/object/map"),u=Function.prototype.bind,h=Object.defineProperty,f=Object.prototype.hasOwnProperty;n=function(t,e,r){var n,i=a(e)&&o(e.value);return delete(n=s(e)).writable,delete n.value,n.get=function(){return!r.overwriteDefinition&&f.call(this,t)?i:(e.value=u.call(i,r.resolveContext?r.resolveContext(this):this),h(this,t,e),this[t])},n},e.exports=function(t){var e=l(arguments[1]);return i(e.resolveContext)&&o(e.resolveContext),c(t,(function(t,r){return n(r,t,e)}))}},{"es5-ext/object/copy":196,"es5-ext/object/map":204,"es5-ext/object/normalize-options":205,"type/plain-function/ensure":561,"type/value/ensure":565,"type/value/is":566}],155:[function(t,e,r){"use strict";var n=t("type/value/is"),i=t("type/plain-function/is"),a=t("es5-ext/object/assign"),o=t("es5-ext/object/normalize-options"),s=t("es5-ext/string/#/contains");(e.exports=function(t,e){var r,i,l,c,u;return arguments.length<2||"string"!=typeof t?(c=e,e=t,t=null):c=arguments[2],n(t)?(r=s.call(t,"c"),i=s.call(t,"e"),l=s.call(t,"w")):(r=l=!0,i=!1),u={value:e,configurable:r,enumerable:i,writable:l},c?a(o(c),u):u}).gs=function(t,e,r){var l,c,u,h;return"string"!=typeof t?(u=r,r=e,e=t,t=null):u=arguments[3],n(e)?i(e)?n(r)?i(r)||(u=r,r=void 0):r=void 0:(u=e,e=r=void 0):e=void 0,n(t)?(l=s.call(t,"c"),c=s.call(t,"e")):(l=!0,c=!1),h={get:e,set:r,configurable:l,enumerable:c},u?a(o(u),h):h}},{"es5-ext/object/assign":193,"es5-ext/object/normalize-options":205,"es5-ext/string/#/contains":212,"type/plain-function/is":562,"type/value/is":566}],156:[function(t,e,r){!function(t,n){n("object"==typeof r&&"undefined"!=typeof e?r:t.d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}function r(t){var r;return 1===t.length&&(r=t,t=function(t,n){return e(r(t),n)}),{left:function(e,r,n,i){for(null==n&&(n=0),null==i&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)<0?n=a+1:i=a}return n},right:function(e,r,n,i){for(null==n&&(n=0),null==i&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)>0?i=a:n=a+1}return n}}}var n=r(e),i=n.right,a=n.left;function o(t,e){return[t,e]}function s(t){return null===t?NaN:+t}function l(t,e){var r,n,i=t.length,a=0,o=-1,l=0,c=0;if(null==e)for(;++o<i;)isNaN(r=s(t[o]))||(c+=(n=r-l)*(r-(l+=n/++a)));else for(;++o<i;)isNaN(r=s(e(t[o],o,t)))||(c+=(n=r-l)*(r-(l+=n/++a)));if(a>1)return c/(a-1)}function c(t,e){var r=l(t,e);return r?Math.sqrt(r):r}function u(t,e){var r,n,i,a=t.length,o=-1;if(null==e){for(;++o<a;)if(null!=(r=t[o])&&r>=r)for(n=i=r;++o<a;)null!=(r=t[o])&&(n>r&&(n=r),i<r&&(i=r))}else for(;++o<a;)if(null!=(r=e(t[o],o,t))&&r>=r)for(n=i=r;++o<a;)null!=(r=e(t[o],o,t))&&(n>r&&(n=r),i<r&&(i=r));return[n,i]}var h=Array.prototype,f=h.slice,p=h.map;function d(t){return function(){return t}}function g(t){return t}function m(t,e,r){t=+t,e=+e,r=(i=arguments.length)<2?(e=t,t=0,1):i<3?1:+r;for(var n=-1,i=0|Math.max(0,Math.ceil((e-t)/r)),a=new Array(i);++n<i;)a[n]=t+n*r;return a}var v=Math.sqrt(50),y=Math.sqrt(10),x=Math.sqrt(2);function b(t,e,r){var n=(e-t)/Math.max(0,r),i=Math.floor(Math.log(n)/Math.LN10),a=n/Math.pow(10,i);return i>=0?(a>=v?10:a>=y?5:a>=x?2:1)*Math.pow(10,i):-Math.pow(10,-i)/(a>=v?10:a>=y?5:a>=x?2:1)}function _(t,e,r){var n=Math.abs(e-t)/Math.max(0,r),i=Math.pow(10,Math.floor(Math.log(n)/Math.LN10)),a=n/i;return a>=v?i*=10:a>=y?i*=5:a>=x&&(i*=2),e<t?-i:i}function w(t){return Math.ceil(Math.log(t.length)/Math.LN2)+1}function T(t,e,r){if(null==r&&(r=s),n=t.length){if((e=+e)<=0||n<2)return+r(t[0],0,t);if(e>=1)return+r(t[n-1],n-1,t);var n,i=(n-1)*e,a=Math.floor(i),o=+r(t[a],a,t);return o+(+r(t[a+1],a+1,t)-o)*(i-a)}}function k(t,e){var r,n,i=t.length,a=-1;if(null==e){for(;++a<i;)if(null!=(r=t[a])&&r>=r)for(n=r;++a<i;)null!=(r=t[a])&&n>r&&(n=r)}else for(;++a<i;)if(null!=(r=e(t[a],a,t))&&r>=r)for(n=r;++a<i;)null!=(r=e(t[a],a,t))&&n>r&&(n=r);return n}function M(t){if(!(i=t.length))return[];for(var e=-1,r=k(t,A),n=new Array(r);++e<r;)for(var i,a=-1,o=n[e]=new Array(i);++a<i;)o[a]=t[a][e];return n}function A(t){return t.length}t.bisect=i,t.bisectRight=i,t.bisectLeft=a,t.ascending=e,t.bisector=r,t.cross=function(t,e,r){var n,i,a,s,l=t.length,c=e.length,u=new Array(l*c);for(null==r&&(r=o),n=a=0;n<l;++n)for(s=t[n],i=0;i<c;++i,++a)u[a]=r(s,e[i]);return u},t.descending=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN},t.deviation=c,t.extent=u,t.histogram=function(){var t=g,e=u,r=w;function n(n){var a,o,s=n.length,l=new Array(s);for(a=0;a<s;++a)l[a]=t(n[a],a,n);var c=e(l),u=c[0],h=c[1],f=r(l,u,h);Array.isArray(f)||(f=_(u,h,f),f=m(Math.ceil(u/f)*f,h,f));for(var p=f.length;f[0]<=u;)f.shift(),--p;for(;f[p-1]>h;)f.pop(),--p;var d,g=new Array(p+1);for(a=0;a<=p;++a)(d=g[a]=[]).x0=a>0?f[a-1]:u,d.x1=a<p?f[a]:h;for(a=0;a<s;++a)u<=(o=l[a])&&o<=h&&g[i(f,o,0,p)].push(n[a]);return g}return n.value=function(e){return arguments.length?(t="function"==typeof e?e:d(e),n):t},n.domain=function(t){return arguments.length?(e="function"==typeof t?t:d([t[0],t[1]]),n):e},n.thresholds=function(t){return arguments.length?(r="function"==typeof t?t:Array.isArray(t)?d(f.call(t)):d(t),n):r},n},t.thresholdFreedmanDiaconis=function(t,r,n){return t=p.call(t,s).sort(e),Math.ceil((n-r)/(2*(T(t,.75)-T(t,.25))*Math.pow(t.length,-1/3)))},t.thresholdScott=function(t,e,r){return Math.ceil((r-e)/(3.5*c(t)*Math.pow(t.length,-1/3)))},t.thresholdSturges=w,t.max=function(t,e){var r,n,i=t.length,a=-1;if(null==e){for(;++a<i;)if(null!=(r=t[a])&&r>=r)for(n=r;++a<i;)null!=(r=t[a])&&r>n&&(n=r)}else for(;++a<i;)if(null!=(r=e(t[a],a,t))&&r>=r)for(n=r;++a<i;)null!=(r=e(t[a],a,t))&&r>n&&(n=r);return n},t.mean=function(t,e){var r,n=t.length,i=n,a=-1,o=0;if(null==e)for(;++a<n;)isNaN(r=s(t[a]))?--i:o+=r;else for(;++a<n;)isNaN(r=s(e(t[a],a,t)))?--i:o+=r;if(i)return o/i},t.median=function(t,r){var n,i=t.length,a=-1,o=[];if(null==r)for(;++a<i;)isNaN(n=s(t[a]))||o.push(n);else for(;++a<i;)isNaN(n=s(r(t[a],a,t)))||o.push(n);return T(o.sort(e),.5)},t.merge=function(t){for(var e,r,n,i=t.length,a=-1,o=0;++a<i;)o+=t[a].length;for(r=new Array(o);--i>=0;)for(e=(n=t[i]).length;--e>=0;)r[--o]=n[e];return r},t.min=k,t.pairs=function(t,e){null==e&&(e=o);for(var r=0,n=t.length-1,i=t[0],a=new Array(n<0?0:n);r<n;)a[r]=e(i,i=t[++r]);return a},t.permute=function(t,e){for(var r=e.length,n=new Array(r);r--;)n[r]=t[e[r]];return n},t.quantile=T,t.range=m,t.scan=function(t,r){if(n=t.length){var n,i,a=0,o=0,s=t[o];for(null==r&&(r=e);++a<n;)(r(i=t[a],s)<0||0!==r(s,s))&&(s=i,o=a);return 0===r(s,s)?o:void 0}},t.shuffle=function(t,e,r){for(var n,i,a=(null==r?t.length:r)-(e=null==e?0:+e);a;)i=Math.random()*a--|0,n=t[a+e],t[a+e]=t[i+e],t[i+e]=n;return t},t.sum=function(t,e){var r,n=t.length,i=-1,a=0;if(null==e)for(;++i<n;)(r=+t[i])&&(a+=r);else for(;++i<n;)(r=+e(t[i],i,t))&&(a+=r);return a},t.ticks=function(t,e,r){var n,i,a,o,s=-1;if(r=+r,(t=+t)===(e=+e)&&r>0)return[t];if((n=e<t)&&(i=t,t=e,e=i),0===(o=b(t,e,r))||!isFinite(o))return[];if(o>0)for(t=Math.ceil(t/o),e=Math.floor(e/o),a=new Array(i=Math.ceil(e-t+1));++s<i;)a[s]=(t+s)*o;else for(t=Math.floor(t*o),e=Math.ceil(e*o),a=new Array(i=Math.ceil(t-e+1));++s<i;)a[s]=(t-s)/o;return n&&a.reverse(),a},t.tickIncrement=b,t.tickStep=_,t.transpose=M,t.variance=l,t.zip=function(){return M(arguments)},Object.defineProperty(t,"__esModule",{value:!0})}))},{}],157:[function(t,e,r){!function(t,n){n("object"==typeof r&&"undefined"!=typeof e?r:t.d3=t.d3||{})}(this,(function(t){"use strict";function e(){}function r(t,r){var n=new e;if(t instanceof e)t.each((function(t,e){n.set(e,t)}));else if(Array.isArray(t)){var i,a=-1,o=t.length;if(null==r)for(;++a<o;)n.set(a,t[a]);else for(;++a<o;)n.set(r(i=t[a],a,t),i)}else if(t)for(var s in t)n.set(s,t[s]);return n}function n(){return{}}function i(t,e,r){t[e]=r}function a(){return r()}function o(t,e,r){t.set(e,r)}function s(){}e.prototype=r.prototype={constructor:e,has:function(t){return"$"+t in this},get:function(t){return this["$"+t]},set:function(t,e){return this["$"+t]=e,this},remove:function(t){var e="$"+t;return e in this&&delete this[e]},clear:function(){for(var t in this)"$"===t[0]&&delete this[t]},keys:function(){var t=[];for(var e in this)"$"===e[0]&&t.push(e.slice(1));return t},values:function(){var t=[];for(var e in this)"$"===e[0]&&t.push(this[e]);return t},entries:function(){var t=[];for(var e in this)"$"===e[0]&&t.push({key:e.slice(1),value:this[e]});return t},size:function(){var t=0;for(var e in this)"$"===e[0]&&++t;return t},empty:function(){for(var t in this)if("$"===t[0])return!1;return!0},each:function(t){for(var e in this)"$"===e[0]&&t(this[e],e.slice(1),this)}};var l=r.prototype;function c(t,e){var r=new s;if(t instanceof s)t.each((function(t){r.add(t)}));else if(t){var n=-1,i=t.length;if(null==e)for(;++n<i;)r.add(t[n]);else for(;++n<i;)r.add(e(t[n],n,t))}return r}s.prototype=c.prototype={constructor:s,has:l.has,add:function(t){return this["$"+(t+="")]=t,this},remove:l.remove,clear:l.clear,values:l.keys,size:l.size,empty:l.empty,each:l.each},t.nest=function(){var t,e,s,l=[],c=[];function u(n,i,a,o){if(i>=l.length)return null!=t&&n.sort(t),null!=e?e(n):n;for(var s,c,h,f=-1,p=n.length,d=l[i++],g=r(),m=a();++f<p;)(h=g.get(s=d(c=n[f])+""))?h.push(c):g.set(s,[c]);return g.each((function(t,e){o(m,e,u(t,i,a,o))})),m}return s={object:function(t){return u(t,0,n,i)},map:function(t){return u(t,0,a,o)},entries:function(t){return function t(r,n){if(++n>l.length)return r;var i,a=c[n-1];return null!=e&&n>=l.length?i=r.entries():(i=[],r.each((function(e,r){i.push({key:r,values:t(e,n)})}))),null!=a?i.sort((function(t,e){return a(t.key,e.key)})):i}(u(t,0,a,o),0)},key:function(t){return l.push(t),s},sortKeys:function(t){return c[l.length-1]=t,s},sortValues:function(e){return t=e,s},rollup:function(t){return e=t,s}}},t.set=c,t.map=r,t.keys=function(t){var e=[];for(var r in t)e.push(r);return e},t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.entries=function(t){var e=[];for(var r in t)e.push({key:r,value:t[r]});return e},Object.defineProperty(t,"__esModule",{value:!0})}))},{}],158:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e,r){t.prototype=e.prototype=r,r.constructor=t}function r(t,e){var r=Object.create(t.prototype);for(var n in e)r[n]=e[n];return r}function n(){}var i="\\s*([+-]?\\d+)\\s*",a="\\s*([+-]?\\d*\\.?\\d+(?:[eE][+-]?\\d+)?)\\s*",o="\\s*([+-]?\\d*\\.?\\d+(?:[eE][+-]?\\d+)?)%\\s*",s=/^#([0-9a-f]{3,8})$/,l=new RegExp("^rgb\\("+[i,i,i]+"\\)$"),c=new RegExp("^rgb\\("+[o,o,o]+"\\)$"),u=new RegExp("^rgba\\("+[i,i,i,a]+"\\)$"),h=new RegExp("^rgba\\("+[o,o,o,a]+"\\)$"),f=new RegExp("^hsl\\("+[a,o,o]+"\\)$"),p=new RegExp("^hsla\\("+[a,o,o,a]+"\\)$"),d={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074};function g(){return this.rgb().formatHex()}function m(){return this.rgb().formatRgb()}function v(t){var e,r;return t=(t+"").trim().toLowerCase(),(e=s.exec(t))?(r=e[1].length,e=parseInt(e[1],16),6===r?y(e):3===r?new w(e>>8&15|e>>4&240,e>>4&15|240&e,(15&e)<<4|15&e,1):8===r?x(e>>24&255,e>>16&255,e>>8&255,(255&e)/255):4===r?x(e>>12&15|e>>8&240,e>>8&15|e>>4&240,e>>4&15|240&e,((15&e)<<4|15&e)/255):null):(e=l.exec(t))?new w(e[1],e[2],e[3],1):(e=c.exec(t))?new w(255*e[1]/100,255*e[2]/100,255*e[3]/100,1):(e=u.exec(t))?x(e[1],e[2],e[3],e[4]):(e=h.exec(t))?x(255*e[1]/100,255*e[2]/100,255*e[3]/100,e[4]):(e=f.exec(t))?A(e[1],e[2]/100,e[3]/100,1):(e=p.exec(t))?A(e[1],e[2]/100,e[3]/100,e[4]):d.hasOwnProperty(t)?y(d[t]):"transparent"===t?new w(NaN,NaN,NaN,0):null}function y(t){return new w(t>>16&255,t>>8&255,255&t,1)}function x(t,e,r,n){return n<=0&&(t=e=r=NaN),new w(t,e,r,n)}function b(t){return t instanceof n||(t=v(t)),t?new w((t=t.rgb()).r,t.g,t.b,t.opacity):new w}function _(t,e,r,n){return 1===arguments.length?b(t):new w(t,e,r,null==n?1:n)}function w(t,e,r,n){this.r=+t,this.g=+e,this.b=+r,this.opacity=+n}function T(){return"#"+M(this.r)+M(this.g)+M(this.b)}function k(){var t=this.opacity;return(1===(t=isNaN(t)?1:Math.max(0,Math.min(1,t)))?"rgb(":"rgba(")+Math.max(0,Math.min(255,Math.round(this.r)||0))+", "+Math.max(0,Math.min(255,Math.round(this.g)||0))+", "+Math.max(0,Math.min(255,Math.round(this.b)||0))+(1===t?")":", "+t+")")}function M(t){return((t=Math.max(0,Math.min(255,Math.round(t)||0)))<16?"0":"")+t.toString(16)}function A(t,e,r,n){return n<=0?t=e=r=NaN:r<=0||r>=1?t=e=NaN:e<=0&&(t=NaN),new C(t,e,r,n)}function S(t){if(t instanceof C)return new C(t.h,t.s,t.l,t.opacity);if(t instanceof n||(t=v(t)),!t)return new C;if(t instanceof C)return t;var e=(t=t.rgb()).r/255,r=t.g/255,i=t.b/255,a=Math.min(e,r,i),o=Math.max(e,r,i),s=NaN,l=o-a,c=(o+a)/2;return l?(s=e===o?(r-i)/l+6*(r<i):r===o?(i-e)/l+2:(e-r)/l+4,l/=c<.5?o+a:2-o-a,s*=60):l=c>0&&c<1?0:s,new C(s,l,c,t.opacity)}function E(t,e,r,n){return 1===arguments.length?S(t):new C(t,e,r,null==n?1:n)}function C(t,e,r,n){this.h=+t,this.s=+e,this.l=+r,this.opacity=+n}function L(t,e,r){return 255*(t<60?e+(r-e)*t/60:t<180?r:t<240?e+(r-e)*(240-t)/60:e)}e(n,v,{copy:function(t){return Object.assign(new this.constructor,this,t)},displayable:function(){return this.rgb().displayable()},hex:g,formatHex:g,formatHsl:function(){return S(this).formatHsl()},formatRgb:m,toString:m}),e(w,_,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new w(this.r*t,this.g*t,this.b*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new w(this.r*t,this.g*t,this.b*t,this.opacity)},rgb:function(){return this},displayable:function(){return-.5<=this.r&&this.r<255.5&&-.5<=this.g&&this.g<255.5&&-.5<=this.b&&this.b<255.5&&0<=this.opacity&&this.opacity<=1},hex:T,formatHex:T,formatRgb:k,toString:k})),e(C,E,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new C(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new C(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=this.h%360+360*(this.h<0),e=isNaN(t)||isNaN(this.s)?0:this.s,r=this.l,n=r+(r<.5?r:1-r)*e,i=2*r-n;return new w(L(t>=240?t-240:t+120,i,n),L(t,i,n),L(t<120?t+240:t-120,i,n),this.opacity)},displayable:function(){return(0<=this.s&&this.s<=1||isNaN(this.s))&&0<=this.l&&this.l<=1&&0<=this.opacity&&this.opacity<=1},formatHsl:function(){var t=this.opacity;return(1===(t=isNaN(t)?1:Math.max(0,Math.min(1,t)))?"hsl(":"hsla(")+(this.h||0)+", "+100*(this.s||0)+"%, "+100*(this.l||0)+"%"+(1===t?")":", "+t+")")}}));var P=Math.PI/180,I=180/Math.PI,z=6/29,O=3*z*z;function D(t){if(t instanceof F)return new F(t.l,t.a,t.b,t.opacity);if(t instanceof H)return G(t);t instanceof w||(t=b(t));var e,r,n=U(t.r),i=U(t.g),a=U(t.b),o=B((.2225045*n+.7168786*i+.0606169*a)/1);return n===i&&i===a?e=r=o:(e=B((.4360747*n+.3850649*i+.1430804*a)/.96422),r=B((.0139322*n+.0971045*i+.7141733*a)/.82521)),new F(116*o-16,500*(e-o),200*(o-r),t.opacity)}function R(t,e,r,n){return 1===arguments.length?D(t):new F(t,e,r,null==n?1:n)}function F(t,e,r,n){this.l=+t,this.a=+e,this.b=+r,this.opacity=+n}function B(t){return t>.008856451679035631?Math.pow(t,1/3):t/O+4/29}function N(t){return t>z?t*t*t:O*(t-4/29)}function j(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function U(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function V(t){if(t instanceof H)return new H(t.h,t.c,t.l,t.opacity);if(t instanceof F||(t=D(t)),0===t.a&&0===t.b)return new H(NaN,0<t.l&&t.l<100?0:NaN,t.l,t.opacity);var e=Math.atan2(t.b,t.a)*I;return new H(e<0?e+360:e,Math.sqrt(t.a*t.a+t.b*t.b),t.l,t.opacity)}function q(t,e,r,n){return 1===arguments.length?V(t):new H(t,e,r,null==n?1:n)}function H(t,e,r,n){this.h=+t,this.c=+e,this.l=+r,this.opacity=+n}function G(t){if(isNaN(t.h))return new F(t.l,0,0,t.opacity);var e=t.h*P;return new F(t.l,Math.cos(e)*t.c,Math.sin(e)*t.c,t.opacity)}e(F,R,r(n,{brighter:function(t){return new F(this.l+18*(null==t?1:t),this.a,this.b,this.opacity)},darker:function(t){return new F(this.l-18*(null==t?1:t),this.a,this.b,this.opacity)},rgb:function(){var t=(this.l+16)/116,e=isNaN(this.a)?t:t+this.a/500,r=isNaN(this.b)?t:t-this.b/200;return new w(j(3.1338561*(e=.96422*N(e))-1.6168667*(t=1*N(t))-.4906146*(r=.82521*N(r))),j(-.9787684*e+1.9161415*t+.033454*r),j(.0719453*e-.2289914*t+1.4052427*r),this.opacity)}})),e(H,q,r(n,{brighter:function(t){return new H(this.h,this.c,this.l+18*(null==t?1:t),this.opacity)},darker:function(t){return new H(this.h,this.c,this.l-18*(null==t?1:t),this.opacity)},rgb:function(){return G(this).rgb()}}));var Y=-.14861,W=1.78277,Z=-.29227,X=-.90649,J=1.97294,K=J*X,Q=J*W,$=W*Z-X*Y;function tt(t){if(t instanceof rt)return new rt(t.h,t.s,t.l,t.opacity);t instanceof w||(t=b(t));var e=t.r/255,r=t.g/255,n=t.b/255,i=($*n+K*e-Q*r)/($+K-Q),a=n-i,o=(J*(r-i)-Z*a)/X,s=Math.sqrt(o*o+a*a)/(J*i*(1-i)),l=s?Math.atan2(o,a)*I-120:NaN;return new rt(l<0?l+360:l,s,i,t.opacity)}function et(t,e,r,n){return 1===arguments.length?tt(t):new rt(t,e,r,null==n?1:n)}function rt(t,e,r,n){this.h=+t,this.s=+e,this.l=+r,this.opacity=+n}e(rt,et,r(n,{brighter:function(t){return t=null==t?1/.7:Math.pow(1/.7,t),new rt(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?.7:Math.pow(.7,t),new rt(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=isNaN(this.h)?0:(this.h+120)*P,e=+this.l,r=isNaN(this.s)?0:this.s*e*(1-e),n=Math.cos(t),i=Math.sin(t);return new w(255*(e+r*(Y*n+W*i)),255*(e+r*(Z*n+X*i)),255*(e+r*(J*n)),this.opacity)}})),t.color=v,t.cubehelix=et,t.gray=function(t,e){return new F(t,0,0,null==e?1:e)},t.hcl=q,t.hsl=E,t.lab=R,t.lch=function(t,e,r,n){return 1===arguments.length?V(t):new H(r,e,t,null==n?1:n)},t.rgb=_,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],159:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e={value:function(){}};function r(){for(var t,e=0,r=arguments.length,i={};e<r;++e){if(!(t=arguments[e]+"")||t in i||/[\s.]/.test(t))throw new Error("illegal type: "+t);i[t]=[]}return new n(i)}function n(t){this._=t}function i(t,e){return t.trim().split(/^|\s+/).map((function(t){var r="",n=t.indexOf(".");if(n>=0&&(r=t.slice(n+1),t=t.slice(0,n)),t&&!e.hasOwnProperty(t))throw new Error("unknown type: "+t);return{type:t,name:r}}))}function a(t,e){for(var r,n=0,i=t.length;n<i;++n)if((r=t[n]).name===e)return r.value}function o(t,r,n){for(var i=0,a=t.length;i<a;++i)if(t[i].name===r){t[i]=e,t=t.slice(0,i).concat(t.slice(i+1));break}return null!=n&&t.push({name:r,value:n}),t}n.prototype=r.prototype={constructor:n,on:function(t,e){var r,n=this._,s=i(t+"",n),l=-1,c=s.length;if(!(arguments.length<2)){if(null!=e&&"function"!=typeof e)throw new Error("invalid callback: "+e);for(;++l<c;)if(r=(t=s[l]).type)n[r]=o(n[r],t.name,e);else if(null==e)for(r in n)n[r]=o(n[r],t.name,null);return this}for(;++l<c;)if((r=(t=s[l]).type)&&(r=a(n[r],t.name)))return r},copy:function(){var t={},e=this._;for(var r in e)t[r]=e[r].slice();return new n(t)},call:function(t,e){if((r=arguments.length-2)>0)for(var r,n,i=new Array(r),a=0;a<r;++a)i[a]=arguments[a+2];if(!this._.hasOwnProperty(t))throw new Error("unknown type: "+t);for(a=0,r=(n=this._[t]).length;a<r;++a)n[a].value.apply(e,i)},apply:function(t,e,r){if(!this._.hasOwnProperty(t))throw new Error("unknown type: "+t);for(var n=this._[t],i=0,a=n.length;i<a;++i)n[i].value.apply(e,r)}},t.dispatch=r,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],160:[function(t,e,r){!function(n,i){"object"==typeof r&&"undefined"!=typeof e?i(r,t("d3-quadtree"),t("d3-collection"),t("d3-dispatch"),t("d3-timer")):i(n.d3=n.d3||{},n.d3,n.d3,n.d3,n.d3)}(this,(function(t,e,r,n,i){"use strict";function a(t){return function(){return t}}function o(){return 1e-6*(Math.random()-.5)}function s(t){return t.x+t.vx}function l(t){return t.y+t.vy}function c(t){return t.index}function u(t,e){var r=t.get(e);if(!r)throw new Error("missing: "+e);return r}function h(t){return t.x}function f(t){return t.y}var p=Math.PI*(3-Math.sqrt(5));t.forceCenter=function(t,e){var r;function n(){var n,i,a=r.length,o=0,s=0;for(n=0;n<a;++n)o+=(i=r[n]).x,s+=i.y;for(o=o/a-t,s=s/a-e,n=0;n<a;++n)(i=r[n]).x-=o,i.y-=s}return null==t&&(t=0),null==e&&(e=0),n.initialize=function(t){r=t},n.x=function(e){return arguments.length?(t=+e,n):t},n.y=function(t){return arguments.length?(e=+t,n):e},n},t.forceCollide=function(t){var r,n,i=1,c=1;function u(){for(var t,a,u,f,p,d,g,m=r.length,v=0;v<c;++v)for(a=e.quadtree(r,s,l).visitAfter(h),t=0;t<m;++t)u=r[t],d=n[u.index],g=d*d,f=u.x+u.vx,p=u.y+u.vy,a.visit(y);function y(t,e,r,n,a){var s=t.data,l=t.r,c=d+l;if(!s)return e>f+c||n<f-c||r>p+c||a<p-c;if(s.index>u.index){var h=f-s.x-s.vx,m=p-s.y-s.vy,v=h*h+m*m;v<c*c&&(0===h&&(v+=(h=o())*h),0===m&&(v+=(m=o())*m),v=(c-(v=Math.sqrt(v)))/v*i,u.vx+=(h*=v)*(c=(l*=l)/(g+l)),u.vy+=(m*=v)*c,s.vx-=h*(c=1-c),s.vy-=m*c)}}}function h(t){if(t.data)return t.r=n[t.data.index];for(var e=t.r=0;e<4;++e)t[e]&&t[e].r>t.r&&(t.r=t[e].r)}function f(){if(r){var e,i,a=r.length;for(n=new Array(a),e=0;e<a;++e)i=r[e],n[i.index]=+t(i,e,r)}}return"function"!=typeof t&&(t=a(null==t?1:+t)),u.initialize=function(t){r=t,f()},u.iterations=function(t){return arguments.length?(c=+t,u):c},u.strength=function(t){return arguments.length?(i=+t,u):i},u.radius=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),f(),u):t},u},t.forceLink=function(t){var e,n,i,s,l,h=c,f=function(t){return 1/Math.min(s[t.source.index],s[t.target.index])},p=a(30),d=1;function g(r){for(var i=0,a=t.length;i<d;++i)for(var s,c,u,h,f,p,g,m=0;m<a;++m)c=(s=t[m]).source,h=(u=s.target).x+u.vx-c.x-c.vx||o(),f=u.y+u.vy-c.y-c.vy||o(),h*=p=((p=Math.sqrt(h*h+f*f))-n[m])/p*r*e[m],f*=p,u.vx-=h*(g=l[m]),u.vy-=f*g,c.vx+=h*(g=1-g),c.vy+=f*g}function m(){if(i){var a,o,c=i.length,f=t.length,p=r.map(i,h);for(a=0,s=new Array(c);a<f;++a)(o=t[a]).index=a,"object"!=typeof o.source&&(o.source=u(p,o.source)),"object"!=typeof o.target&&(o.target=u(p,o.target)),s[o.source.index]=(s[o.source.index]||0)+1,s[o.target.index]=(s[o.target.index]||0)+1;for(a=0,l=new Array(f);a<f;++a)o=t[a],l[a]=s[o.source.index]/(s[o.source.index]+s[o.target.index]);e=new Array(f),v(),n=new Array(f),y()}}function v(){if(i)for(var r=0,n=t.length;r<n;++r)e[r]=+f(t[r],r,t)}function y(){if(i)for(var e=0,r=t.length;e<r;++e)n[e]=+p(t[e],e,t)}return null==t&&(t=[]),g.initialize=function(t){i=t,m()},g.links=function(e){return arguments.length?(t=e,m(),g):t},g.id=function(t){return arguments.length?(h=t,g):h},g.iterations=function(t){return arguments.length?(d=+t,g):d},g.strength=function(t){return arguments.length?(f="function"==typeof t?t:a(+t),v(),g):f},g.distance=function(t){return arguments.length?(p="function"==typeof t?t:a(+t),y(),g):p},g},t.forceManyBody=function(){var t,r,n,i,s=a(-30),l=1,c=1/0,u=.81;function p(i){var a,o=t.length,s=e.quadtree(t,h,f).visitAfter(g);for(n=i,a=0;a<o;++a)r=t[a],s.visit(m)}function d(){if(t){var e,r,n=t.length;for(i=new Array(n),e=0;e<n;++e)r=t[e],i[r.index]=+s(r,e,t)}}function g(t){var e,r,n,a,o,s=0,l=0;if(t.length){for(n=a=o=0;o<4;++o)(e=t[o])&&(r=Math.abs(e.value))&&(s+=e.value,l+=r,n+=r*e.x,a+=r*e.y);t.x=n/l,t.y=a/l}else{(e=t).x=e.data.x,e.y=e.data.y;do{s+=i[e.data.index]}while(e=e.next)}t.value=s}function m(t,e,a,s){if(!t.value)return!0;var h=t.x-r.x,f=t.y-r.y,p=s-e,d=h*h+f*f;if(p*p/u<d)return d<c&&(0===h&&(d+=(h=o())*h),0===f&&(d+=(f=o())*f),d<l&&(d=Math.sqrt(l*d)),r.vx+=h*t.value*n/d,r.vy+=f*t.value*n/d),!0;if(!(t.length||d>=c)){(t.data!==r||t.next)&&(0===h&&(d+=(h=o())*h),0===f&&(d+=(f=o())*f),d<l&&(d=Math.sqrt(l*d)));do{t.data!==r&&(p=i[t.data.index]*n/d,r.vx+=h*p,r.vy+=f*p)}while(t=t.next)}}return p.initialize=function(e){t=e,d()},p.strength=function(t){return arguments.length?(s="function"==typeof t?t:a(+t),d(),p):s},p.distanceMin=function(t){return arguments.length?(l=t*t,p):Math.sqrt(l)},p.distanceMax=function(t){return arguments.length?(c=t*t,p):Math.sqrt(c)},p.theta=function(t){return arguments.length?(u=t*t,p):Math.sqrt(u)},p},t.forceRadial=function(t,e,r){var n,i,o,s=a(.1);function l(t){for(var a=0,s=n.length;a<s;++a){var l=n[a],c=l.x-e||1e-6,u=l.y-r||1e-6,h=Math.sqrt(c*c+u*u),f=(o[a]-h)*i[a]*t/h;l.vx+=c*f,l.vy+=u*f}}function c(){if(n){var e,r=n.length;for(i=new Array(r),o=new Array(r),e=0;e<r;++e)o[e]=+t(n[e],e,n),i[e]=isNaN(o[e])?0:+s(n[e],e,n)}}return"function"!=typeof t&&(t=a(+t)),null==e&&(e=0),null==r&&(r=0),l.initialize=function(t){n=t,c()},l.strength=function(t){return arguments.length?(s="function"==typeof t?t:a(+t),c(),l):s},l.radius=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),c(),l):t},l.x=function(t){return arguments.length?(e=+t,l):e},l.y=function(t){return arguments.length?(r=+t,l):r},l},t.forceSimulation=function(t){var e,a=1,o=.001,s=1-Math.pow(o,1/300),l=0,c=.6,u=r.map(),h=i.timer(d),f=n.dispatch("tick","end");function d(){g(),f.call("tick",e),a<o&&(h.stop(),f.call("end",e))}function g(r){var n,i,o=t.length;void 0===r&&(r=1);for(var h=0;h<r;++h)for(a+=(l-a)*s,u.each((function(t){t(a)})),n=0;n<o;++n)null==(i=t[n]).fx?i.x+=i.vx*=c:(i.x=i.fx,i.vx=0),null==i.fy?i.y+=i.vy*=c:(i.y=i.fy,i.vy=0);return e}function m(){for(var e,r=0,n=t.length;r<n;++r){if((e=t[r]).index=r,null!=e.fx&&(e.x=e.fx),null!=e.fy&&(e.y=e.fy),isNaN(e.x)||isNaN(e.y)){var i=10*Math.sqrt(r),a=r*p;e.x=i*Math.cos(a),e.y=i*Math.sin(a)}(isNaN(e.vx)||isNaN(e.vy))&&(e.vx=e.vy=0)}}function v(e){return e.initialize&&e.initialize(t),e}return null==t&&(t=[]),m(),e={tick:g,restart:function(){return h.restart(d),e},stop:function(){return h.stop(),e},nodes:function(r){return arguments.length?(t=r,m(),u.each(v),e):t},alpha:function(t){return arguments.length?(a=+t,e):a},alphaMin:function(t){return arguments.length?(o=+t,e):o},alphaDecay:function(t){return arguments.length?(s=+t,e):+s},alphaTarget:function(t){return arguments.length?(l=+t,e):l},velocityDecay:function(t){return arguments.length?(c=1-t,e):1-c},force:function(t,r){return arguments.length>1?(null==r?u.remove(t):u.set(t,v(r)),e):u.get(t)},find:function(e,r,n){var i,a,o,s,l,c=0,u=t.length;for(null==n?n=1/0:n*=n,c=0;c<u;++c)(o=(i=e-(s=t[c]).x)*i+(a=r-s.y)*a)<n&&(l=s,n=o);return l},on:function(t,r){return arguments.length>1?(f.on(t,r),e):f.on(t)}}},t.forceX=function(t){var e,r,n,i=a(.1);function o(t){for(var i,a=0,o=e.length;a<o;++a)(i=e[a]).vx+=(n[a]-i.x)*r[a]*t}function s(){if(e){var a,o=e.length;for(r=new Array(o),n=new Array(o),a=0;a<o;++a)r[a]=isNaN(n[a]=+t(e[a],a,e))?0:+i(e[a],a,e)}}return"function"!=typeof t&&(t=a(null==t?0:+t)),o.initialize=function(t){e=t,s()},o.strength=function(t){return arguments.length?(i="function"==typeof t?t:a(+t),s(),o):i},o.x=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),s(),o):t},o},t.forceY=function(t){var e,r,n,i=a(.1);function o(t){for(var i,a=0,o=e.length;a<o;++a)(i=e[a]).vy+=(n[a]-i.y)*r[a]*t}function s(){if(e){var a,o=e.length;for(r=new Array(o),n=new Array(o),a=0;a<o;++a)r[a]=isNaN(n[a]=+t(e[a],a,e))?0:+i(e[a],a,e)}}return"function"!=typeof t&&(t=a(null==t?0:+t)),o.initialize=function(t){e=t,s()},o.strength=function(t){return arguments.length?(i="function"==typeof t?t:a(+t),s(),o):i},o.y=function(e){return arguments.length?(t="function"==typeof e?e:a(+e),s(),o):t},o},Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-collection":157,"d3-dispatch":159,"d3-quadtree":164,"d3-timer":168}],161:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e){return t.parent===e.parent?1:2}function r(t,e){return t+e.x}function n(t,e){return Math.max(t,e.y)}function i(t){var e=0,r=t.children,n=r&&r.length;if(n)for(;--n>=0;)e+=r[n].value;else e=1;t.value=e}function a(t,e){var r,n,i,a,s,u=new c(t),h=+t.value&&(u.value=t.value),f=[u];for(null==e&&(e=o);r=f.pop();)if(h&&(r.value=+r.data.value),(i=e(r.data))&&(s=i.length))for(r.children=new Array(s),a=s-1;a>=0;--a)f.push(n=r.children[a]=new c(i[a])),n.parent=r,n.depth=r.depth+1;return u.eachBefore(l)}function o(t){return t.children}function s(t){t.data=t.data.data}function l(t){var e=0;do{t.height=e}while((t=t.parent)&&t.height<++e)}function c(t){this.data=t,this.depth=this.height=0,this.parent=null}c.prototype=a.prototype={constructor:c,count:function(){return this.eachAfter(i)},each:function(t){var e,r,n,i,a=this,o=[a];do{for(e=o.reverse(),o=[];a=e.pop();)if(t(a),r=a.children)for(n=0,i=r.length;n<i;++n)o.push(r[n])}while(o.length);return this},eachAfter:function(t){for(var e,r,n,i=this,a=[i],o=[];i=a.pop();)if(o.push(i),e=i.children)for(r=0,n=e.length;r<n;++r)a.push(e[r]);for(;i=o.pop();)t(i);return this},eachBefore:function(t){for(var e,r,n=this,i=[n];n=i.pop();)if(t(n),e=n.children)for(r=e.length-1;r>=0;--r)i.push(e[r]);return this},sum:function(t){return this.eachAfter((function(e){for(var r=+t(e.data)||0,n=e.children,i=n&&n.length;--i>=0;)r+=n[i].value;e.value=r}))},sort:function(t){return this.eachBefore((function(e){e.children&&e.children.sort(t)}))},path:function(t){for(var e=this,r=function(t,e){if(t===e)return t;var r=t.ancestors(),n=e.ancestors(),i=null;t=r.pop(),e=n.pop();for(;t===e;)i=t,t=r.pop(),e=n.pop();return i}(e,t),n=[e];e!==r;)e=e.parent,n.push(e);for(var i=n.length;t!==r;)n.splice(i,0,t),t=t.parent;return n},ancestors:function(){for(var t=this,e=[t];t=t.parent;)e.push(t);return e},descendants:function(){var t=[];return this.each((function(e){t.push(e)})),t},leaves:function(){var t=[];return this.eachBefore((function(e){e.children||t.push(e)})),t},links:function(){var t=this,e=[];return t.each((function(r){r!==t&&e.push({source:r.parent,target:r})})),e},copy:function(){return a(this).eachBefore(s)}};var u=Array.prototype.slice;function h(t){for(var e,r,n=0,i=(t=function(t){for(var e,r,n=t.length;n;)r=Math.random()*n--|0,e=t[n],t[n]=t[r],t[r]=e;return t}(u.call(t))).length,a=[];n<i;)e=t[n],r&&d(r,e)?++n:(r=m(a=f(a,e)),n=0);return r}function f(t,e){var r,n;if(g(e,t))return[e];for(r=0;r<t.length;++r)if(p(e,t[r])&&g(v(t[r],e),t))return[t[r],e];for(r=0;r<t.length-1;++r)for(n=r+1;n<t.length;++n)if(p(v(t[r],t[n]),e)&&p(v(t[r],e),t[n])&&p(v(t[n],e),t[r])&&g(y(t[r],t[n],e),t))return[t[r],t[n],e];throw new Error}function p(t,e){var r=t.r-e.r,n=e.x-t.x,i=e.y-t.y;return r<0||r*r<n*n+i*i}function d(t,e){var r=t.r-e.r+1e-6,n=e.x-t.x,i=e.y-t.y;return r>0&&r*r>n*n+i*i}function g(t,e){for(var r=0;r<e.length;++r)if(!d(t,e[r]))return!1;return!0}function m(t){switch(t.length){case 1:return{x:(e=t[0]).x,y:e.y,r:e.r};case 2:return v(t[0],t[1]);case 3:return y(t[0],t[1],t[2])}var e}function v(t,e){var r=t.x,n=t.y,i=t.r,a=e.x,o=e.y,s=e.r,l=a-r,c=o-n,u=s-i,h=Math.sqrt(l*l+c*c);return{x:(r+a+l/h*u)/2,y:(n+o+c/h*u)/2,r:(h+i+s)/2}}function y(t,e,r){var n=t.x,i=t.y,a=t.r,o=e.x,s=e.y,l=e.r,c=r.x,u=r.y,h=r.r,f=n-o,p=n-c,d=i-s,g=i-u,m=l-a,v=h-a,y=n*n+i*i-a*a,x=y-o*o-s*s+l*l,b=y-c*c-u*u+h*h,_=p*d-f*g,w=(d*b-g*x)/(2*_)-n,T=(g*m-d*v)/_,k=(p*x-f*b)/(2*_)-i,M=(f*v-p*m)/_,A=T*T+M*M-1,S=2*(a+w*T+k*M),E=w*w+k*k-a*a,C=-(A?(S+Math.sqrt(S*S-4*A*E))/(2*A):E/S);return{x:n+w+T*C,y:i+k+M*C,r:C}}function x(t,e,r){var n,i,a,o,s=t.x-e.x,l=t.y-e.y,c=s*s+l*l;c?(i=e.r+r.r,i*=i,o=t.r+r.r,i>(o*=o)?(n=(c+o-i)/(2*c),a=Math.sqrt(Math.max(0,o/c-n*n)),r.x=t.x-n*s-a*l,r.y=t.y-n*l+a*s):(n=(c+i-o)/(2*c),a=Math.sqrt(Math.max(0,i/c-n*n)),r.x=e.x+n*s-a*l,r.y=e.y+n*l+a*s)):(r.x=e.x+r.r,r.y=e.y)}function b(t,e){var r=t.r+e.r-1e-6,n=e.x-t.x,i=e.y-t.y;return r>0&&r*r>n*n+i*i}function _(t){var e=t._,r=t.next._,n=e.r+r.r,i=(e.x*r.r+r.x*e.r)/n,a=(e.y*r.r+r.y*e.r)/n;return i*i+a*a}function w(t){this._=t,this.next=null,this.previous=null}function T(t){if(!(i=t.length))return 0;var e,r,n,i,a,o,s,l,c,u,f;if((e=t[0]).x=0,e.y=0,!(i>1))return e.r;if(r=t[1],e.x=-r.r,r.x=e.r,r.y=0,!(i>2))return e.r+r.r;x(r,e,n=t[2]),e=new w(e),r=new w(r),n=new w(n),e.next=n.previous=r,r.next=e.previous=n,n.next=r.previous=e;t:for(s=3;s<i;++s){x(e._,r._,n=t[s]),n=new w(n),l=r.next,c=e.previous,u=r._.r,f=e._.r;do{if(u<=f){if(b(l._,n._)){r=l,e.next=r,r.previous=e,--s;continue t}u+=l._.r,l=l.next}else{if(b(c._,n._)){(e=c).next=r,r.previous=e,--s;continue t}f+=c._.r,c=c.previous}}while(l!==c.next);for(n.previous=e,n.next=r,e.next=r.previous=r=n,a=_(e);(n=n.next)!==r;)(o=_(n))<a&&(e=n,a=o);r=e.next}for(e=[r._],n=r;(n=n.next)!==r;)e.push(n._);for(n=h(e),s=0;s<i;++s)(e=t[s]).x-=n.x,e.y-=n.y;return n.r}function k(t){return null==t?null:M(t)}function M(t){if("function"!=typeof t)throw new Error;return t}function A(){return 0}function S(t){return function(){return t}}function E(t){return Math.sqrt(t.value)}function C(t){return function(e){e.children||(e.r=Math.max(0,+t(e)||0))}}function L(t,e){return function(r){if(n=r.children){var n,i,a,o=n.length,s=t(r)*e||0;if(s)for(i=0;i<o;++i)n[i].r+=s;if(a=T(n),s)for(i=0;i<o;++i)n[i].r-=s;r.r=a+s}}}function P(t){return function(e){var r=e.parent;e.r*=t,r&&(e.x=r.x+t*e.x,e.y=r.y+t*e.y)}}function I(t){t.x0=Math.round(t.x0),t.y0=Math.round(t.y0),t.x1=Math.round(t.x1),t.y1=Math.round(t.y1)}function z(t,e,r,n,i){for(var a,o=t.children,s=-1,l=o.length,c=t.value&&(n-e)/t.value;++s<l;)(a=o[s]).y0=r,a.y1=i,a.x0=e,a.x1=e+=a.value*c}var O={depth:-1},D={};function R(t){return t.id}function F(t){return t.parentId}function B(t,e){return t.parent===e.parent?1:2}function N(t){var e=t.children;return e?e[0]:t.t}function j(t){var e=t.children;return e?e[e.length-1]:t.t}function U(t,e,r){var n=r/(e.i-t.i);e.c-=n,e.s+=r,t.c+=n,e.z+=r,e.m+=r}function V(t,e,r){return t.a.parent===e.parent?t.a:r}function q(t,e){this._=t,this.parent=null,this.children=null,this.A=null,this.a=this,this.z=0,this.m=0,this.c=0,this.s=0,this.t=null,this.i=e}function H(t,e,r,n,i){for(var a,o=t.children,s=-1,l=o.length,c=t.value&&(i-r)/t.value;++s<l;)(a=o[s]).x0=e,a.x1=n,a.y0=r,a.y1=r+=a.value*c}q.prototype=Object.create(c.prototype);var G=(1+Math.sqrt(5))/2;function Y(t,e,r,n,i,a){for(var o,s,l,c,u,h,f,p,d,g,m,v=[],y=e.children,x=0,b=0,_=y.length,w=e.value;x<_;){l=i-r,c=a-n;do{u=y[b++].value}while(!u&&b<_);for(h=f=u,m=u*u*(g=Math.max(c/l,l/c)/(w*t)),d=Math.max(f/m,m/h);b<_;++b){if(u+=s=y[b].value,s<h&&(h=s),s>f&&(f=s),m=u*u*g,(p=Math.max(f/m,m/h))>d){u-=s;break}d=p}v.push(o={value:u,dice:l<c,children:y.slice(x,b)}),o.dice?z(o,r,n,i,w?n+=c*u/w:a):H(o,r,n,w?r+=l*u/w:i,a),w-=u,x=b}return v}var W=function t(e){function r(t,r,n,i,a){Y(e,t,r,n,i,a)}return r.ratio=function(e){return t((e=+e)>1?e:1)},r}(G);var Z=function t(e){function r(t,r,n,i,a){if((o=t._squarify)&&o.ratio===e)for(var o,s,l,c,u,h=-1,f=o.length,p=t.value;++h<f;){for(l=(s=o[h]).children,c=s.value=0,u=l.length;c<u;++c)s.value+=l[c].value;s.dice?z(s,r,n,i,n+=(a-n)*s.value/p):H(s,r,n,r+=(i-r)*s.value/p,a),p-=s.value}else t._squarify=o=Y(e,t,r,n,i,a),o.ratio=e}return r.ratio=function(e){return t((e=+e)>1?e:1)},r}(G);t.cluster=function(){var t=e,i=1,a=1,o=!1;function s(e){var s,l=0;e.eachAfter((function(e){var i=e.children;i?(e.x=function(t){return t.reduce(r,0)/t.length}(i),e.y=function(t){return 1+t.reduce(n,0)}(i)):(e.x=s?l+=t(e,s):0,e.y=0,s=e)}));var c=function(t){for(var e;e=t.children;)t=e[0];return t}(e),u=function(t){for(var e;e=t.children;)t=e[e.length-1];return t}(e),h=c.x-t(c,u)/2,f=u.x+t(u,c)/2;return e.eachAfter(o?function(t){t.x=(t.x-e.x)*i,t.y=(e.y-t.y)*a}:function(t){t.x=(t.x-h)/(f-h)*i,t.y=(1-(e.y?t.y/e.y:1))*a})}return s.separation=function(e){return arguments.length?(t=e,s):t},s.size=function(t){return arguments.length?(o=!1,i=+t[0],a=+t[1],s):o?null:[i,a]},s.nodeSize=function(t){return arguments.length?(o=!0,i=+t[0],a=+t[1],s):o?[i,a]:null},s},t.hierarchy=a,t.pack=function(){var t=null,e=1,r=1,n=A;function i(i){return i.x=e/2,i.y=r/2,t?i.eachBefore(C(t)).eachAfter(L(n,.5)).eachBefore(P(1)):i.eachBefore(C(E)).eachAfter(L(A,1)).eachAfter(L(n,i.r/Math.min(e,r))).eachBefore(P(Math.min(e,r)/(2*i.r))),i}return i.radius=function(e){return arguments.length?(t=k(e),i):t},i.size=function(t){return arguments.length?(e=+t[0],r=+t[1],i):[e,r]},i.padding=function(t){return arguments.length?(n="function"==typeof t?t:S(+t),i):n},i},t.packEnclose=h,t.packSiblings=function(t){return T(t),t},t.partition=function(){var t=1,e=1,r=0,n=!1;function i(i){var a=i.height+1;return i.x0=i.y0=r,i.x1=t,i.y1=e/a,i.eachBefore(function(t,e){return function(n){n.children&&z(n,n.x0,t*(n.depth+1)/e,n.x1,t*(n.depth+2)/e);var i=n.x0,a=n.y0,o=n.x1-r,s=n.y1-r;o<i&&(i=o=(i+o)/2),s<a&&(a=s=(a+s)/2),n.x0=i,n.y0=a,n.x1=o,n.y1=s}}(e,a)),n&&i.eachBefore(I),i}return i.round=function(t){return arguments.length?(n=!!t,i):n},i.size=function(r){return arguments.length?(t=+r[0],e=+r[1],i):[t,e]},i.padding=function(t){return arguments.length?(r=+t,i):r},i},t.stratify=function(){var t=R,e=F;function r(r){var n,i,a,o,s,u,h,f=r.length,p=new Array(f),d={};for(i=0;i<f;++i)n=r[i],s=p[i]=new c(n),null!=(u=t(n,i,r))&&(u+="")&&(d[h="$"+(s.id=u)]=h in d?D:s);for(i=0;i<f;++i)if(s=p[i],null!=(u=e(r[i],i,r))&&(u+="")){if(!(o=d["$"+u]))throw new Error("missing: "+u);if(o===D)throw new Error("ambiguous: "+u);o.children?o.children.push(s):o.children=[s],s.parent=o}else{if(a)throw new Error("multiple roots");a=s}if(!a)throw new Error("no root");if(a.parent=O,a.eachBefore((function(t){t.depth=t.parent.depth+1,--f})).eachBefore(l),a.parent=null,f>0)throw new Error("cycle");return a}return r.id=function(e){return arguments.length?(t=M(e),r):t},r.parentId=function(t){return arguments.length?(e=M(t),r):e},r},t.tree=function(){var t=B,e=1,r=1,n=null;function i(i){var l=function(t){for(var e,r,n,i,a,o=new q(t,0),s=[o];e=s.pop();)if(n=e._.children)for(e.children=new Array(a=n.length),i=a-1;i>=0;--i)s.push(r=e.children[i]=new q(n[i],i)),r.parent=e;return(o.parent=new q(null,0)).children=[o],o}(i);if(l.eachAfter(a),l.parent.m=-l.z,l.eachBefore(o),n)i.eachBefore(s);else{var c=i,u=i,h=i;i.eachBefore((function(t){t.x<c.x&&(c=t),t.x>u.x&&(u=t),t.depth>h.depth&&(h=t)}));var f=c===u?1:t(c,u)/2,p=f-c.x,d=e/(u.x+f+p),g=r/(h.depth||1);i.eachBefore((function(t){t.x=(t.x+p)*d,t.y=t.depth*g}))}return i}function a(e){var r=e.children,n=e.parent.children,i=e.i?n[e.i-1]:null;if(r){!function(t){for(var e,r=0,n=0,i=t.children,a=i.length;--a>=0;)(e=i[a]).z+=r,e.m+=r,r+=e.s+(n+=e.c)}(e);var a=(r[0].z+r[r.length-1].z)/2;i?(e.z=i.z+t(e._,i._),e.m=e.z-a):e.z=a}else i&&(e.z=i.z+t(e._,i._));e.parent.A=function(e,r,n){if(r){for(var i,a=e,o=e,s=r,l=a.parent.children[0],c=a.m,u=o.m,h=s.m,f=l.m;s=j(s),a=N(a),s&&a;)l=N(l),(o=j(o)).a=e,(i=s.z+h-a.z-c+t(s._,a._))>0&&(U(V(s,e,n),e,i),c+=i,u+=i),h+=s.m,c+=a.m,f+=l.m,u+=o.m;s&&!j(o)&&(o.t=s,o.m+=h-u),a&&!N(l)&&(l.t=a,l.m+=c-f,n=e)}return n}(e,i,e.parent.A||n[0])}function o(t){t._.x=t.z+t.parent.m,t.m+=t.parent.m}function s(t){t.x*=e,t.y=t.depth*r}return i.separation=function(e){return arguments.length?(t=e,i):t},i.size=function(t){return arguments.length?(n=!1,e=+t[0],r=+t[1],i):n?null:[e,r]},i.nodeSize=function(t){return arguments.length?(n=!0,e=+t[0],r=+t[1],i):n?[e,r]:null},i},t.treemap=function(){var t=W,e=!1,r=1,n=1,i=[0],a=A,o=A,s=A,l=A,c=A;function u(t){return t.x0=t.y0=0,t.x1=r,t.y1=n,t.eachBefore(h),i=[0],e&&t.eachBefore(I),t}function h(e){var r=i[e.depth],n=e.x0+r,u=e.y0+r,h=e.x1-r,f=e.y1-r;h<n&&(n=h=(n+h)/2),f<u&&(u=f=(u+f)/2),e.x0=n,e.y0=u,e.x1=h,e.y1=f,e.children&&(r=i[e.depth+1]=a(e)/2,n+=c(e)-r,u+=o(e)-r,(h-=s(e)-r)<n&&(n=h=(n+h)/2),(f-=l(e)-r)<u&&(u=f=(u+f)/2),t(e,n,u,h,f))}return u.round=function(t){return arguments.length?(e=!!t,u):e},u.size=function(t){return arguments.length?(r=+t[0],n=+t[1],u):[r,n]},u.tile=function(e){return arguments.length?(t=M(e),u):t},u.padding=function(t){return arguments.length?u.paddingInner(t).paddingOuter(t):u.paddingInner()},u.paddingInner=function(t){return arguments.length?(a="function"==typeof t?t:S(+t),u):a},u.paddingOuter=function(t){return arguments.length?u.paddingTop(t).paddingRight(t).paddingBottom(t).paddingLeft(t):u.paddingTop()},u.paddingTop=function(t){return arguments.length?(o="function"==typeof t?t:S(+t),u):o},u.paddingRight=function(t){return arguments.length?(s="function"==typeof t?t:S(+t),u):s},u.paddingBottom=function(t){return arguments.length?(l="function"==typeof t?t:S(+t),u):l},u.paddingLeft=function(t){return arguments.length?(c="function"==typeof t?t:S(+t),u):c},u},t.treemapBinary=function(t,e,r,n,i){var a,o,s=t.children,l=s.length,c=new Array(l+1);for(c[0]=o=a=0;a<l;++a)c[a+1]=o+=s[a].value;!function t(e,r,n,i,a,o,l){if(e>=r-1){var u=s[e];return u.x0=i,u.y0=a,u.x1=o,void(u.y1=l)}var h=c[e],f=n/2+h,p=e+1,d=r-1;for(;p<d;){var g=p+d>>>1;c[g]<f?p=g+1:d=g}f-c[p-1]<c[p]-f&&e+1<p&&--p;var m=c[p]-h,v=n-m;if(o-i>l-a){var y=(i*v+o*m)/n;t(e,p,m,i,a,y,l),t(p,r,v,y,a,o,l)}else{var x=(a*v+l*m)/n;t(e,p,m,i,a,o,x),t(p,r,v,i,x,o,l)}}(0,l,t.value,e,r,n,i)},t.treemapDice=z,t.treemapResquarify=Z,t.treemapSlice=H,t.treemapSliceDice=function(t,e,r,n,i){(1&t.depth?H:z)(t,e,r,n,i)},t.treemapSquarify=W,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],162:[function(t,e,r){!function(n,i){"object"==typeof r&&"undefined"!=typeof e?i(r,t("d3-color")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(t,e,r,n,i){var a=t*t,o=a*t;return((1-3*t+3*a-o)*e+(4-6*a+3*o)*r+(1+3*t+3*a-3*o)*n+o*i)/6}function n(t){var e=t.length-1;return function(n){var i=n<=0?n=0:n>=1?(n=1,e-1):Math.floor(n*e),a=t[i],o=t[i+1],s=i>0?t[i-1]:2*a-o,l=i<e-1?t[i+2]:2*o-a;return r((n-i/e)*e,s,a,o,l)}}function i(t){var e=t.length;return function(n){var i=Math.floor(((n%=1)<0?++n:n)*e),a=t[(i+e-1)%e],o=t[i%e],s=t[(i+1)%e],l=t[(i+2)%e];return r((n-i/e)*e,a,o,s,l)}}function a(t){return function(){return t}}function o(t,e){return function(r){return t+r*e}}function s(t,e){var r=e-t;return r?o(t,r>180||r<-180?r-360*Math.round(r/360):r):a(isNaN(t)?e:t)}function l(t){return 1==(t=+t)?c:function(e,r){return r-e?function(t,e,r){return t=Math.pow(t,r),e=Math.pow(e,r)-t,r=1/r,function(n){return Math.pow(t+n*e,r)}}(e,r,t):a(isNaN(e)?r:e)}}function c(t,e){var r=e-t;return r?o(t,r):a(isNaN(t)?e:t)}var u=function t(r){var n=l(r);function i(t,r){var i=n((t=e.rgb(t)).r,(r=e.rgb(r)).r),a=n(t.g,r.g),o=n(t.b,r.b),s=c(t.opacity,r.opacity);return function(e){return t.r=i(e),t.g=a(e),t.b=o(e),t.opacity=s(e),t+""}}return i.gamma=t,i}(1);function h(t){return function(r){var n,i,a=r.length,o=new Array(a),s=new Array(a),l=new Array(a);for(n=0;n<a;++n)i=e.rgb(r[n]),o[n]=i.r||0,s[n]=i.g||0,l[n]=i.b||0;return o=t(o),s=t(s),l=t(l),i.opacity=1,function(t){return i.r=o(t),i.g=s(t),i.b=l(t),i+""}}}var f=h(n),p=h(i);function d(t,e){e||(e=[]);var r,n=t?Math.min(e.length,t.length):0,i=e.slice();return function(a){for(r=0;r<n;++r)i[r]=t[r]*(1-a)+e[r]*a;return i}}function g(t){return ArrayBuffer.isView(t)&&!(t instanceof DataView)}function m(t,e){var r,n=e?e.length:0,i=t?Math.min(n,t.length):0,a=new Array(i),o=new Array(n);for(r=0;r<i;++r)a[r]=T(t[r],e[r]);for(;r<n;++r)o[r]=e[r];return function(t){for(r=0;r<i;++r)o[r]=a[r](t);return o}}function v(t,e){var r=new Date;return t=+t,e=+e,function(n){return r.setTime(t*(1-n)+e*n),r}}function y(t,e){return t=+t,e=+e,function(r){return t*(1-r)+e*r}}function x(t,e){var r,n={},i={};for(r in null!==t&&"object"==typeof t||(t={}),null!==e&&"object"==typeof e||(e={}),e)r in t?n[r]=T(t[r],e[r]):i[r]=e[r];return function(t){for(r in n)i[r]=n[r](t);return i}}var b=/[-+]?(?:\d+\.?\d*|\.?\d+)(?:[eE][-+]?\d+)?/g,_=new RegExp(b.source,"g");function w(t,e){var r,n,i,a=b.lastIndex=_.lastIndex=0,o=-1,s=[],l=[];for(t+="",e+="";(r=b.exec(t))&&(n=_.exec(e));)(i=n.index)>a&&(i=e.slice(a,i),s[o]?s[o]+=i:s[++o]=i),(r=r[0])===(n=n[0])?s[o]?s[o]+=n:s[++o]=n:(s[++o]=null,l.push({i:o,x:y(r,n)})),a=_.lastIndex;return a<e.length&&(i=e.slice(a),s[o]?s[o]+=i:s[++o]=i),s.length<2?l[0]?function(t){return function(e){return t(e)+""}}(l[0].x):function(t){return function(){return t}}(e):(e=l.length,function(t){for(var r,n=0;n<e;++n)s[(r=l[n]).i]=r.x(t);return s.join("")})}function T(t,r){var n,i=typeof r;return null==r||"boolean"===i?a(r):("number"===i?y:"string"===i?(n=e.color(r))?(r=n,u):w:r instanceof e.color?u:r instanceof Date?v:g(r)?d:Array.isArray(r)?m:"function"!=typeof r.valueOf&&"function"!=typeof r.toString||isNaN(r)?x:y)(t,r)}var k,M,A,S,E=180/Math.PI,C={translateX:0,translateY:0,rotate:0,skewX:0,scaleX:1,scaleY:1};function L(t,e,r,n,i,a){var o,s,l;return(o=Math.sqrt(t*t+e*e))&&(t/=o,e/=o),(l=t*r+e*n)&&(r-=t*l,n-=e*l),(s=Math.sqrt(r*r+n*n))&&(r/=s,n/=s,l/=s),t*n<e*r&&(t=-t,e=-e,l=-l,o=-o),{translateX:i,translateY:a,rotate:Math.atan2(e,t)*E,skewX:Math.atan(l)*E,scaleX:o,scaleY:s}}function P(t,e,r,n){function i(t){return t.length?t.pop()+" ":""}return function(a,o){var s=[],l=[];return a=t(a),o=t(o),function(t,n,i,a,o,s){if(t!==i||n!==a){var l=o.push("translate(",null,e,null,r);s.push({i:l-4,x:y(t,i)},{i:l-2,x:y(n,a)})}else(i||a)&&o.push("translate("+i+e+a+r)}(a.translateX,a.translateY,o.translateX,o.translateY,s,l),function(t,e,r,a){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),a.push({i:r.push(i(r)+"rotate(",null,n)-2,x:y(t,e)})):e&&r.push(i(r)+"rotate("+e+n)}(a.rotate,o.rotate,s,l),function(t,e,r,a){t!==e?a.push({i:r.push(i(r)+"skewX(",null,n)-2,x:y(t,e)}):e&&r.push(i(r)+"skewX("+e+n)}(a.skewX,o.skewX,s,l),function(t,e,r,n,a,o){if(t!==r||e!==n){var s=a.push(i(a)+"scale(",null,",",null,")");o.push({i:s-4,x:y(t,r)},{i:s-2,x:y(e,n)})}else 1===r&&1===n||a.push(i(a)+"scale("+r+","+n+")")}(a.scaleX,a.scaleY,o.scaleX,o.scaleY,s,l),a=o=null,function(t){for(var e,r=-1,n=l.length;++r<n;)s[(e=l[r]).i]=e.x(t);return s.join("")}}}var I=P((function(t){return"none"===t?C:(k||(k=document.createElement("DIV"),M=document.documentElement,A=document.defaultView),k.style.transform=t,t=A.getComputedStyle(M.appendChild(k),null).getPropertyValue("transform"),M.removeChild(k),L(+(t=t.slice(7,-1).split(","))[0],+t[1],+t[2],+t[3],+t[4],+t[5]))}),"px, ","px)","deg)"),z=P((function(t){return null==t?C:(S||(S=document.createElementNS("http://www.w3.org/2000/svg","g")),S.setAttribute("transform",t),(t=S.transform.baseVal.consolidate())?L((t=t.matrix).a,t.b,t.c,t.d,t.e,t.f):C)}),", ",")",")"),O=Math.SQRT2;function D(t){return((t=Math.exp(t))+1/t)/2}function R(t){return function(r,n){var i=t((r=e.hsl(r)).h,(n=e.hsl(n)).h),a=c(r.s,n.s),o=c(r.l,n.l),s=c(r.opacity,n.opacity);return function(t){return r.h=i(t),r.s=a(t),r.l=o(t),r.opacity=s(t),r+""}}}var F=R(s),B=R(c);function N(t){return function(r,n){var i=t((r=e.hcl(r)).h,(n=e.hcl(n)).h),a=c(r.c,n.c),o=c(r.l,n.l),s=c(r.opacity,n.opacity);return function(t){return r.h=i(t),r.c=a(t),r.l=o(t),r.opacity=s(t),r+""}}}var j=N(s),U=N(c);function V(t){return function r(n){function i(r,i){var a=t((r=e.cubehelix(r)).h,(i=e.cubehelix(i)).h),o=c(r.s,i.s),s=c(r.l,i.l),l=c(r.opacity,i.opacity);return function(t){return r.h=a(t),r.s=o(t),r.l=s(Math.pow(t,n)),r.opacity=l(t),r+""}}return n=+n,i.gamma=r,i}(1)}var q=V(s),H=V(c);t.interpolate=T,t.interpolateArray=function(t,e){return(g(e)?d:m)(t,e)},t.interpolateBasis=n,t.interpolateBasisClosed=i,t.interpolateCubehelix=q,t.interpolateCubehelixLong=H,t.interpolateDate=v,t.interpolateDiscrete=function(t){var e=t.length;return function(r){return t[Math.max(0,Math.min(e-1,Math.floor(r*e)))]}},t.interpolateHcl=j,t.interpolateHclLong=U,t.interpolateHsl=F,t.interpolateHslLong=B,t.interpolateHue=function(t,e){var r=s(+t,+e);return function(t){var e=r(t);return e-360*Math.floor(e/360)}},t.interpolateLab=function(t,r){var n=c((t=e.lab(t)).l,(r=e.lab(r)).l),i=c(t.a,r.a),a=c(t.b,r.b),o=c(t.opacity,r.opacity);return function(e){return t.l=n(e),t.a=i(e),t.b=a(e),t.opacity=o(e),t+""}},t.interpolateNumber=y,t.interpolateNumberArray=d,t.interpolateObject=x,t.interpolateRgb=u,t.interpolateRgbBasis=f,t.interpolateRgbBasisClosed=p,t.interpolateRound=function(t,e){return t=+t,e=+e,function(r){return Math.round(t*(1-r)+e*r)}},t.interpolateString=w,t.interpolateTransformCss=I,t.interpolateTransformSvg=z,t.interpolateZoom=function(t,e){var r,n,i=t[0],a=t[1],o=t[2],s=e[0],l=e[1],c=e[2],u=s-i,h=l-a,f=u*u+h*h;if(f<1e-12)n=Math.log(c/o)/O,r=function(t){return[i+t*u,a+t*h,o*Math.exp(O*t*n)]};else{var p=Math.sqrt(f),d=(c*c-o*o+4*f)/(2*o*2*p),g=(c*c-o*o-4*f)/(2*c*2*p),m=Math.log(Math.sqrt(d*d+1)-d),v=Math.log(Math.sqrt(g*g+1)-g);n=(v-m)/O,r=function(t){var e,r=t*n,s=D(m),l=o/(2*p)*(s*(e=O*r+m,((e=Math.exp(2*e))-1)/(e+1))-function(t){return((t=Math.exp(t))-1/t)/2}(m));return[i+l*u,a+l*h,o*s/D(O*r+m)]}}return r.duration=1e3*n,r},t.piecewise=function(t,e){for(var r=0,n=e.length-1,i=e[0],a=new Array(n<0?0:n);r<n;)a[r]=t(i,i=e[++r]);return function(t){var e=Math.max(0,Math.min(n-1,Math.floor(t*=n)));return a[e](t-e)}},t.quantize=function(t,e){for(var r=new Array(e),n=0;n<e;++n)r[n]=t(n/(e-1));return r},Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-color":158}],163:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e=Math.PI,r=2*e,n=r-1e-6;function i(){this._x0=this._y0=this._x1=this._y1=null,this._=""}function a(){return new i}i.prototype=a.prototype={constructor:i,moveTo:function(t,e){this._+="M"+(this._x0=this._x1=+t)+","+(this._y0=this._y1=+e)},closePath:function(){null!==this._x1&&(this._x1=this._x0,this._y1=this._y0,this._+="Z")},lineTo:function(t,e){this._+="L"+(this._x1=+t)+","+(this._y1=+e)},quadraticCurveTo:function(t,e,r,n){this._+="Q"+ +t+","+ +e+","+(this._x1=+r)+","+(this._y1=+n)},bezierCurveTo:function(t,e,r,n,i,a){this._+="C"+ +t+","+ +e+","+ +r+","+ +n+","+(this._x1=+i)+","+(this._y1=+a)},arcTo:function(t,r,n,i,a){t=+t,r=+r,n=+n,i=+i,a=+a;var o=this._x1,s=this._y1,l=n-t,c=i-r,u=o-t,h=s-r,f=u*u+h*h;if(a<0)throw new Error("negative radius: "+a);if(null===this._x1)this._+="M"+(this._x1=t)+","+(this._y1=r);else if(f>1e-6)if(Math.abs(h*l-c*u)>1e-6&&a){var p=n-o,d=i-s,g=l*l+c*c,m=p*p+d*d,v=Math.sqrt(g),y=Math.sqrt(f),x=a*Math.tan((e-Math.acos((g+f-m)/(2*v*y)))/2),b=x/y,_=x/v;Math.abs(b-1)>1e-6&&(this._+="L"+(t+b*u)+","+(r+b*h)),this._+="A"+a+","+a+",0,0,"+ +(h*p>u*d)+","+(this._x1=t+_*l)+","+(this._y1=r+_*c)}else this._+="L"+(this._x1=t)+","+(this._y1=r);else;},arc:function(t,i,a,o,s,l){t=+t,i=+i,l=!!l;var c=(a=+a)*Math.cos(o),u=a*Math.sin(o),h=t+c,f=i+u,p=1^l,d=l?o-s:s-o;if(a<0)throw new Error("negative radius: "+a);null===this._x1?this._+="M"+h+","+f:(Math.abs(this._x1-h)>1e-6||Math.abs(this._y1-f)>1e-6)&&(this._+="L"+h+","+f),a&&(d<0&&(d=d%r+r),d>n?this._+="A"+a+","+a+",0,1,"+p+","+(t-c)+","+(i-u)+"A"+a+","+a+",0,1,"+p+","+(this._x1=h)+","+(this._y1=f):d>1e-6&&(this._+="A"+a+","+a+",0,"+ +(d>=e)+","+p+","+(this._x1=t+a*Math.cos(s))+","+(this._y1=i+a*Math.sin(s))))},rect:function(t,e,r,n){this._+="M"+(this._x0=this._x1=+t)+","+(this._y0=this._y1=+e)+"h"+ +r+"v"+ +n+"h"+-r+"Z"},toString:function(){return this._}},t.path=a,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],164:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";function e(t,e,r,n){if(isNaN(e)||isNaN(r))return t;var i,a,o,s,l,c,u,h,f,p=t._root,d={data:n},g=t._x0,m=t._y0,v=t._x1,y=t._y1;if(!p)return t._root=d,t;for(;p.length;)if((c=e>=(a=(g+v)/2))?g=a:v=a,(u=r>=(o=(m+y)/2))?m=o:y=o,i=p,!(p=p[h=u<<1|c]))return i[h]=d,t;if(s=+t._x.call(null,p.data),l=+t._y.call(null,p.data),e===s&&r===l)return d.next=p,i?i[h]=d:t._root=d,t;do{i=i?i[h]=new Array(4):t._root=new Array(4),(c=e>=(a=(g+v)/2))?g=a:v=a,(u=r>=(o=(m+y)/2))?m=o:y=o}while((h=u<<1|c)==(f=(l>=o)<<1|s>=a));return i[f]=p,i[h]=d,t}function r(t,e,r,n,i){this.node=t,this.x0=e,this.y0=r,this.x1=n,this.y1=i}function n(t){return t[0]}function i(t){return t[1]}function a(t,e,r){var a=new o(null==e?n:e,null==r?i:r,NaN,NaN,NaN,NaN);return null==t?a:a.addAll(t)}function o(t,e,r,n,i,a){this._x=t,this._y=e,this._x0=r,this._y0=n,this._x1=i,this._y1=a,this._root=void 0}function s(t){for(var e={data:t.data},r=e;t=t.next;)r=r.next={data:t.data};return e}var l=a.prototype=o.prototype;l.copy=function(){var t,e,r=new o(this._x,this._y,this._x0,this._y0,this._x1,this._y1),n=this._root;if(!n)return r;if(!n.length)return r._root=s(n),r;for(t=[{source:n,target:r._root=new Array(4)}];n=t.pop();)for(var i=0;i<4;++i)(e=n.source[i])&&(e.length?t.push({source:e,target:n.target[i]=new Array(4)}):n.target[i]=s(e));return r},l.add=function(t){var r=+this._x.call(null,t),n=+this._y.call(null,t);return e(this.cover(r,n),r,n,t)},l.addAll=function(t){var r,n,i,a,o=t.length,s=new Array(o),l=new Array(o),c=1/0,u=1/0,h=-1/0,f=-1/0;for(n=0;n<o;++n)isNaN(i=+this._x.call(null,r=t[n]))||isNaN(a=+this._y.call(null,r))||(s[n]=i,l[n]=a,i<c&&(c=i),i>h&&(h=i),a<u&&(u=a),a>f&&(f=a));if(c>h||u>f)return this;for(this.cover(c,u).cover(h,f),n=0;n<o;++n)e(this,s[n],l[n],t[n]);return this},l.cover=function(t,e){if(isNaN(t=+t)||isNaN(e=+e))return this;var r=this._x0,n=this._y0,i=this._x1,a=this._y1;if(isNaN(r))i=(r=Math.floor(t))+1,a=(n=Math.floor(e))+1;else{for(var o,s,l=i-r,c=this._root;r>t||t>=i||n>e||e>=a;)switch(s=(e<n)<<1|t<r,(o=new Array(4))[s]=c,c=o,l*=2,s){case 0:i=r+l,a=n+l;break;case 1:r=i-l,a=n+l;break;case 2:i=r+l,n=a-l;break;case 3:r=i-l,n=a-l}this._root&&this._root.length&&(this._root=c)}return this._x0=r,this._y0=n,this._x1=i,this._y1=a,this},l.data=function(){var t=[];return this.visit((function(e){if(!e.length)do{t.push(e.data)}while(e=e.next)})),t},l.extent=function(t){return arguments.length?this.cover(+t[0][0],+t[0][1]).cover(+t[1][0],+t[1][1]):isNaN(this._x0)?void 0:[[this._x0,this._y0],[this._x1,this._y1]]},l.find=function(t,e,n){var i,a,o,s,l,c,u,h=this._x0,f=this._y0,p=this._x1,d=this._y1,g=[],m=this._root;for(m&&g.push(new r(m,h,f,p,d)),null==n?n=1/0:(h=t-n,f=e-n,p=t+n,d=e+n,n*=n);c=g.pop();)if(!(!(m=c.node)||(a=c.x0)>p||(o=c.y0)>d||(s=c.x1)<h||(l=c.y1)<f))if(m.length){var v=(a+s)/2,y=(o+l)/2;g.push(new r(m[3],v,y,s,l),new r(m[2],a,y,v,l),new r(m[1],v,o,s,y),new r(m[0],a,o,v,y)),(u=(e>=y)<<1|t>=v)&&(c=g[g.length-1],g[g.length-1]=g[g.length-1-u],g[g.length-1-u]=c)}else{var x=t-+this._x.call(null,m.data),b=e-+this._y.call(null,m.data),_=x*x+b*b;if(_<n){var w=Math.sqrt(n=_);h=t-w,f=e-w,p=t+w,d=e+w,i=m.data}}return i},l.remove=function(t){if(isNaN(a=+this._x.call(null,t))||isNaN(o=+this._y.call(null,t)))return this;var e,r,n,i,a,o,s,l,c,u,h,f,p=this._root,d=this._x0,g=this._y0,m=this._x1,v=this._y1;if(!p)return this;if(p.length)for(;;){if((c=a>=(s=(d+m)/2))?d=s:m=s,(u=o>=(l=(g+v)/2))?g=l:v=l,e=p,!(p=p[h=u<<1|c]))return this;if(!p.length)break;(e[h+1&3]||e[h+2&3]||e[h+3&3])&&(r=e,f=h)}for(;p.data!==t;)if(n=p,!(p=p.next))return this;return(i=p.next)&&delete p.next,n?(i?n.next=i:delete n.next,this):e?(i?e[h]=i:delete e[h],(p=e[0]||e[1]||e[2]||e[3])&&p===(e[3]||e[2]||e[1]||e[0])&&!p.length&&(r?r[f]=p:this._root=p),this):(this._root=i,this)},l.removeAll=function(t){for(var e=0,r=t.length;e<r;++e)this.remove(t[e]);return this},l.root=function(){return this._root},l.size=function(){var t=0;return this.visit((function(e){if(!e.length)do{++t}while(e=e.next)})),t},l.visit=function(t){var e,n,i,a,o,s,l=[],c=this._root;for(c&&l.push(new r(c,this._x0,this._y0,this._x1,this._y1));e=l.pop();)if(!t(c=e.node,i=e.x0,a=e.y0,o=e.x1,s=e.y1)&&c.length){var u=(i+o)/2,h=(a+s)/2;(n=c[3])&&l.push(new r(n,u,h,o,s)),(n=c[2])&&l.push(new r(n,i,h,u,s)),(n=c[1])&&l.push(new r(n,u,a,o,h)),(n=c[0])&&l.push(new r(n,i,a,u,h))}return this},l.visitAfter=function(t){var e,n=[],i=[];for(this._root&&n.push(new r(this._root,this._x0,this._y0,this._x1,this._y1));e=n.pop();){var a=e.node;if(a.length){var o,s=e.x0,l=e.y0,c=e.x1,u=e.y1,h=(s+c)/2,f=(l+u)/2;(o=a[0])&&n.push(new r(o,s,l,h,f)),(o=a[1])&&n.push(new r(o,h,l,c,f)),(o=a[2])&&n.push(new r(o,s,f,h,u)),(o=a[3])&&n.push(new r(o,h,f,c,u))}i.push(e)}for(;e=i.pop();)t(e.node,e.x0,e.y0,e.x1,e.y1);return this},l.x=function(t){return arguments.length?(this._x=t,this):this._x},l.y=function(t){return arguments.length?(this._y=t,this):this._y},t.quadtree=a,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],165:[function(t,e,r){!function(n,i){"object"==typeof r&&"undefined"!=typeof e?i(r,t("d3-path")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(t){return function(){return t}}var n=Math.abs,i=Math.atan2,a=Math.cos,o=Math.max,s=Math.min,l=Math.sin,c=Math.sqrt,u=Math.PI,h=u/2,f=2*u;function p(t){return t>1?0:t<-1?u:Math.acos(t)}function d(t){return t>=1?h:t<=-1?-h:Math.asin(t)}function g(t){return t.innerRadius}function m(t){return t.outerRadius}function v(t){return t.startAngle}function y(t){return t.endAngle}function x(t){return t&&t.padAngle}function b(t,e,r,n,i,a,o,s){var l=r-t,c=n-e,u=o-i,h=s-a,f=h*l-u*c;if(!(f*f<1e-12))return[t+(f=(u*(e-a)-h*(t-i))/f)*l,e+f*c]}function _(t,e,r,n,i,a,s){var l=t-r,u=e-n,h=(s?a:-a)/c(l*l+u*u),f=h*u,p=-h*l,d=t+f,g=e+p,m=r+f,v=n+p,y=(d+m)/2,x=(g+v)/2,b=m-d,_=v-g,w=b*b+_*_,T=i-a,k=d*v-m*g,M=(_<0?-1:1)*c(o(0,T*T*w-k*k)),A=(k*_-b*M)/w,S=(-k*b-_*M)/w,E=(k*_+b*M)/w,C=(-k*b+_*M)/w,L=A-y,P=S-x,I=E-y,z=C-x;return L*L+P*P>I*I+z*z&&(A=E,S=C),{cx:A,cy:S,x01:-f,y01:-p,x11:A*(i/T-1),y11:S*(i/T-1)}}function w(t){this._context=t}function T(t){return new w(t)}function k(t){return t[0]}function M(t){return t[1]}function A(){var t=k,n=M,i=r(!0),a=null,o=T,s=null;function l(r){var l,c,u,h=r.length,f=!1;for(null==a&&(s=o(u=e.path())),l=0;l<=h;++l)!(l<h&&i(c=r[l],l,r))===f&&((f=!f)?s.lineStart():s.lineEnd()),f&&s.point(+t(c,l,r),+n(c,l,r));if(u)return s=null,u+""||null}return l.x=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),l):t},l.y=function(t){return arguments.length?(n="function"==typeof t?t:r(+t),l):n},l.defined=function(t){return arguments.length?(i="function"==typeof t?t:r(!!t),l):i},l.curve=function(t){return arguments.length?(o=t,null!=a&&(s=o(a)),l):o},l.context=function(t){return arguments.length?(null==t?a=s=null:s=o(a=t),l):a},l}function S(){var t=k,n=null,i=r(0),a=M,o=r(!0),s=null,l=T,c=null;function u(r){var u,h,f,p,d,g=r.length,m=!1,v=new Array(g),y=new Array(g);for(null==s&&(c=l(d=e.path())),u=0;u<=g;++u){if(!(u<g&&o(p=r[u],u,r))===m)if(m=!m)h=u,c.areaStart(),c.lineStart();else{for(c.lineEnd(),c.lineStart(),f=u-1;f>=h;--f)c.point(v[f],y[f]);c.lineEnd(),c.areaEnd()}m&&(v[u]=+t(p,u,r),y[u]=+i(p,u,r),c.point(n?+n(p,u,r):v[u],a?+a(p,u,r):y[u]))}if(d)return c=null,d+""||null}function h(){return A().defined(o).curve(l).context(s)}return u.x=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),n=null,u):t},u.x0=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),u):t},u.x1=function(t){return arguments.length?(n=null==t?null:"function"==typeof t?t:r(+t),u):n},u.y=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),a=null,u):i},u.y0=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),u):i},u.y1=function(t){return arguments.length?(a=null==t?null:"function"==typeof t?t:r(+t),u):a},u.lineX0=u.lineY0=function(){return h().x(t).y(i)},u.lineY1=function(){return h().x(t).y(a)},u.lineX1=function(){return h().x(n).y(i)},u.defined=function(t){return arguments.length?(o="function"==typeof t?t:r(!!t),u):o},u.curve=function(t){return arguments.length?(l=t,null!=s&&(c=l(s)),u):l},u.context=function(t){return arguments.length?(null==t?s=c=null:c=l(s=t),u):s},u}function E(t,e){return e<t?-1:e>t?1:e>=t?0:NaN}function C(t){return t}w.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._point=0},lineEnd:function(){(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:this._context.lineTo(t,e)}}};var L=I(T);function P(t){this._curve=t}function I(t){function e(e){return new P(t(e))}return e._curve=t,e}function z(t){var e=t.curve;return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t.curve=function(t){return arguments.length?e(I(t)):e()._curve},t}function O(){return z(A().curve(L))}function D(){var t=S().curve(L),e=t.curve,r=t.lineX0,n=t.lineX1,i=t.lineY0,a=t.lineY1;return t.angle=t.x,delete t.x,t.startAngle=t.x0,delete t.x0,t.endAngle=t.x1,delete t.x1,t.radius=t.y,delete t.y,t.innerRadius=t.y0,delete t.y0,t.outerRadius=t.y1,delete t.y1,t.lineStartAngle=function(){return z(r())},delete t.lineX0,t.lineEndAngle=function(){return z(n())},delete t.lineX1,t.lineInnerRadius=function(){return z(i())},delete t.lineY0,t.lineOuterRadius=function(){return z(a())},delete t.lineY1,t.curve=function(t){return arguments.length?e(I(t)):e()._curve},t}function R(t,e){return[(e=+e)*Math.cos(t-=Math.PI/2),e*Math.sin(t)]}P.prototype={areaStart:function(){this._curve.areaStart()},areaEnd:function(){this._curve.areaEnd()},lineStart:function(){this._curve.lineStart()},lineEnd:function(){this._curve.lineEnd()},point:function(t,e){this._curve.point(e*Math.sin(t),e*-Math.cos(t))}};var F=Array.prototype.slice;function B(t){return t.source}function N(t){return t.target}function j(t){var n=B,i=N,a=k,o=M,s=null;function l(){var r,l=F.call(arguments),c=n.apply(this,l),u=i.apply(this,l);if(s||(s=r=e.path()),t(s,+a.apply(this,(l[0]=c,l)),+o.apply(this,l),+a.apply(this,(l[0]=u,l)),+o.apply(this,l)),r)return s=null,r+""||null}return l.source=function(t){return arguments.length?(n=t,l):n},l.target=function(t){return arguments.length?(i=t,l):i},l.x=function(t){return arguments.length?(a="function"==typeof t?t:r(+t),l):a},l.y=function(t){return arguments.length?(o="function"==typeof t?t:r(+t),l):o},l.context=function(t){return arguments.length?(s=null==t?null:t,l):s},l}function U(t,e,r,n,i){t.moveTo(e,r),t.bezierCurveTo(e=(e+n)/2,r,e,i,n,i)}function V(t,e,r,n,i){t.moveTo(e,r),t.bezierCurveTo(e,r=(r+i)/2,n,r,n,i)}function q(t,e,r,n,i){var a=R(e,r),o=R(e,r=(r+i)/2),s=R(n,r),l=R(n,i);t.moveTo(a[0],a[1]),t.bezierCurveTo(o[0],o[1],s[0],s[1],l[0],l[1])}var H={draw:function(t,e){var r=Math.sqrt(e/u);t.moveTo(r,0),t.arc(0,0,r,0,f)}},G={draw:function(t,e){var r=Math.sqrt(e/5)/2;t.moveTo(-3*r,-r),t.lineTo(-r,-r),t.lineTo(-r,-3*r),t.lineTo(r,-3*r),t.lineTo(r,-r),t.lineTo(3*r,-r),t.lineTo(3*r,r),t.lineTo(r,r),t.lineTo(r,3*r),t.lineTo(-r,3*r),t.lineTo(-r,r),t.lineTo(-3*r,r),t.closePath()}},Y=Math.sqrt(1/3),W=2*Y,Z={draw:function(t,e){var r=Math.sqrt(e/W),n=r*Y;t.moveTo(0,-r),t.lineTo(n,0),t.lineTo(0,r),t.lineTo(-n,0),t.closePath()}},X=Math.sin(u/10)/Math.sin(7*u/10),J=Math.sin(f/10)*X,K=-Math.cos(f/10)*X,Q={draw:function(t,e){var r=Math.sqrt(.8908130915292852*e),n=J*r,i=K*r;t.moveTo(0,-r),t.lineTo(n,i);for(var a=1;a<5;++a){var o=f*a/5,s=Math.cos(o),l=Math.sin(o);t.lineTo(l*r,-s*r),t.lineTo(s*n-l*i,l*n+s*i)}t.closePath()}},$={draw:function(t,e){var r=Math.sqrt(e),n=-r/2;t.rect(n,n,r,r)}},tt=Math.sqrt(3),et={draw:function(t,e){var r=-Math.sqrt(e/(3*tt));t.moveTo(0,2*r),t.lineTo(-tt*r,-r),t.lineTo(tt*r,-r),t.closePath()}},rt=-.5,nt=Math.sqrt(3)/2,it=1/Math.sqrt(12),at=3*(it/2+1),ot={draw:function(t,e){var r=Math.sqrt(e/at),n=r/2,i=r*it,a=n,o=r*it+r,s=-a,l=o;t.moveTo(n,i),t.lineTo(a,o),t.lineTo(s,l),t.lineTo(rt*n-nt*i,nt*n+rt*i),t.lineTo(rt*a-nt*o,nt*a+rt*o),t.lineTo(rt*s-nt*l,nt*s+rt*l),t.lineTo(rt*n+nt*i,rt*i-nt*n),t.lineTo(rt*a+nt*o,rt*o-nt*a),t.lineTo(rt*s+nt*l,rt*l-nt*s),t.closePath()}},st=[H,G,Z,$,Q,et,ot];function lt(){}function ct(t,e,r){t._context.bezierCurveTo((2*t._x0+t._x1)/3,(2*t._y0+t._y1)/3,(t._x0+2*t._x1)/3,(t._y0+2*t._y1)/3,(t._x0+4*t._x1+e)/6,(t._y0+4*t._y1+r)/6)}function ut(t){this._context=t}function ht(t){this._context=t}function ft(t){this._context=t}function pt(t,e){this._basis=new ut(t),this._beta=e}ut.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){switch(this._point){case 3:ct(this,this._x1,this._y1);case 2:this._context.lineTo(this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,this._context.lineTo((5*this._x0+this._x1)/6,(5*this._y0+this._y1)/6);default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ht.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._y0=this._y1=this._y2=this._y3=this._y4=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x2,this._y2),this._context.closePath();break;case 2:this._context.moveTo((this._x2+2*this._x3)/3,(this._y2+2*this._y3)/3),this._context.lineTo((this._x3+2*this._x2)/3,(this._y3+2*this._y2)/3),this._context.closePath();break;case 3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x2=t,this._y2=e;break;case 1:this._point=2,this._x3=t,this._y3=e;break;case 2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var n,i=t[0],a=e[0],o=t[r]-i,s=e[r]-a,l=-1;++l<=r;)n=l/r,this._basis.point(this._beta*t[l]+(1-this._beta)*(i+n*o),this._beta*e[l]+(1-this._beta)*(a+n*s));this._x=this._y=null,this._basis.lineEnd()},point:function(t,e){this._x.push(+t),this._y.push(+e)}};var dt=function t(e){function r(t){return 1===e?new ut(t):new pt(t,e)}return r.beta=function(e){return t(+e)},r}(.85);function gt(t,e,r){t._context.bezierCurveTo(t._x1+t._k*(t._x2-t._x0),t._y1+t._k*(t._y2-t._y0),t._x2+t._k*(t._x1-e),t._y2+t._k*(t._y1-r),t._x2,t._y2)}function mt(t,e){this._context=t,this._k=(1-e)/6}mt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:gt(this,this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2,this._x1=t,this._y1=e;break;case 2:this._point=3;default:gt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var vt=function t(e){function r(t){return new mt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function yt(t,e){this._context=t,this._k=(1-e)/6}yt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:gt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var xt=function t(e){function r(t){return new yt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function bt(t,e){this._context=t,this._k=(1-e)/6}bt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:gt(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var _t=function t(e){function r(t){return new bt(t,e)}return r.tension=function(e){return t(+e)},r}(0);function wt(t,e,r){var n=t._x1,i=t._y1,a=t._x2,o=t._y2;if(t._l01_a>1e-12){var s=2*t._l01_2a+3*t._l01_a*t._l12_a+t._l12_2a,l=3*t._l01_a*(t._l01_a+t._l12_a);n=(n*s-t._x0*t._l12_2a+t._x2*t._l01_2a)/l,i=(i*s-t._y0*t._l12_2a+t._y2*t._l01_2a)/l}if(t._l23_a>1e-12){var c=2*t._l23_2a+3*t._l23_a*t._l12_a+t._l12_2a,u=3*t._l23_a*(t._l23_a+t._l12_a);a=(a*c+t._x1*t._l23_2a-e*t._l12_2a)/u,o=(o*c+t._y1*t._l23_2a-r*t._l12_2a)/u}t._context.bezierCurveTo(n,i,a,o,t._x2,t._y2)}function Tt(t,e){this._context=t,this._alpha=e}Tt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var kt=function t(e){function r(t){return e?new Tt(t,e):new mt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function Mt(t,e){this._context=t,this._alpha=e}Mt.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var At=function t(e){function r(t){return e?new Mt(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function St(t,e){this._context=t,this._alpha=e}St.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var Et=function t(e){function r(t){return e?new St(t,e):new bt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function Ct(t){this._context=t}function Lt(t){return t<0?-1:1}function Pt(t,e,r){var n=t._x1-t._x0,i=e-t._x1,a=(t._y1-t._y0)/(n||i<0&&-0),o=(r-t._y1)/(i||n<0&&-0),s=(a*i+o*n)/(n+i);return(Lt(a)+Lt(o))*Math.min(Math.abs(a),Math.abs(o),.5*Math.abs(s))||0}function It(t,e){var r=t._x1-t._x0;return r?(3*(t._y1-t._y0)/r-e)/2:e}function zt(t,e,r){var n=t._x0,i=t._y0,a=t._x1,o=t._y1,s=(a-n)/3;t._context.bezierCurveTo(n+s,i+s*e,a-s,o-s*r,a,o)}function Ot(t){this._context=t}function Dt(t){this._context=new Rt(t)}function Rt(t){this._context=t}function Ft(t){this._context=t}function Bt(t){var e,r,n=t.length-1,i=new Array(n),a=new Array(n),o=new Array(n);for(i[0]=0,a[0]=2,o[0]=t[0]+2*t[1],e=1;e<n-1;++e)i[e]=1,a[e]=4,o[e]=4*t[e]+2*t[e+1];for(i[n-1]=2,a[n-1]=7,o[n-1]=8*t[n-1]+t[n],e=1;e<n;++e)r=i[e]/a[e-1],a[e]-=r,o[e]-=r*o[e-1];for(i[n-1]=o[n-1]/a[n-1],e=n-2;e>=0;--e)i[e]=(o[e]-i[e+1])/a[e];for(a[n-1]=(t[n]+i[n-1])/2,e=0;e<n-1;++e)a[e]=2*t[e+1]-i[e+1];return[i,a]}function Nt(t,e){this._context=t,this._t=e}function jt(t,e){if((i=t.length)>1)for(var r,n,i,a=1,o=t[e[0]],s=o.length;a<i;++a)for(n=o,o=t[e[a]],r=0;r<s;++r)o[r][1]+=o[r][0]=isNaN(n[r][1])?n[r][0]:n[r][1]}function Ut(t){for(var e=t.length,r=new Array(e);--e>=0;)r[e]=e;return r}function Vt(t,e){return t[e]}function qt(t){var e=t.map(Ht);return Ut(t).sort((function(t,r){return e[t]-e[r]}))}function Ht(t){for(var e,r=-1,n=0,i=t.length,a=-1/0;++r<i;)(e=+t[r][1])>a&&(a=e,n=r);return n}function Gt(t){var e=t.map(Yt);return Ut(t).sort((function(t,r){return e[t]-e[r]}))}function Yt(t){for(var e,r=0,n=-1,i=t.length;++n<i;)(e=+t[n][1])&&(r+=e);return r}Ct.prototype={areaStart:lt,areaEnd:lt,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(t,e){t=+t,e=+e,this._point?this._context.lineTo(t,e):(this._point=1,this._context.moveTo(t,e))}},Ot.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:zt(this,this._t0,It(this,this._t0))}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){var r=NaN;if(e=+e,(t=+t)!==this._x1||e!==this._y1){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,zt(this,It(this,r=Pt(this,t,e)),r);break;default:zt(this,this._t0,r=Pt(this,t,e))}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e,this._t0=r}}},(Dt.prototype=Object.create(Ot.prototype)).point=function(t,e){Ot.prototype.point.call(this,e,t)},Rt.prototype={moveTo:function(t,e){this._context.moveTo(e,t)},closePath:function(){this._context.closePath()},lineTo:function(t,e){this._context.lineTo(e,t)},bezierCurveTo:function(t,e,r,n,i,a){this._context.bezierCurveTo(e,t,n,r,a,i)}},Ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var t=this._x,e=this._y,r=t.length;if(r)if(this._line?this._context.lineTo(t[0],e[0]):this._context.moveTo(t[0],e[0]),2===r)this._context.lineTo(t[1],e[1]);else for(var n=Bt(t),i=Bt(e),a=0,o=1;o<r;++a,++o)this._context.bezierCurveTo(n[0][a],i[0][a],n[1][a],i[1][a],t[o],e[o]);(this._line||0!==this._line&&1===r)&&this._context.closePath(),this._line=1-this._line,this._x=this._y=null},point:function(t,e){this._x.push(+t),this._y.push(+e)}},Nt.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=this._y=NaN,this._point=0},lineEnd:function(){0<this._t&&this._t<1&&2===this._point&&this._context.lineTo(this._x,this._y),(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line>=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:if(this._t<=0)this._context.lineTo(this._x,e),this._context.lineTo(t,e);else{var r=this._x*(1-this._t)+t*this._t;this._context.lineTo(r,this._y),this._context.lineTo(r,e)}}this._x=t,this._y=e}},t.arc=function(){var t=g,o=m,w=r(0),T=null,k=v,M=y,A=x,S=null;function E(){var r,g,m=+t.apply(this,arguments),v=+o.apply(this,arguments),y=k.apply(this,arguments)-h,x=M.apply(this,arguments)-h,E=n(x-y),C=x>y;if(S||(S=r=e.path()),v<m&&(g=v,v=m,m=g),v>1e-12)if(E>f-1e-12)S.moveTo(v*a(y),v*l(y)),S.arc(0,0,v,y,x,!C),m>1e-12&&(S.moveTo(m*a(x),m*l(x)),S.arc(0,0,m,x,y,C));else{var L,P,I=y,z=x,O=y,D=x,R=E,F=E,B=A.apply(this,arguments)/2,N=B>1e-12&&(T?+T.apply(this,arguments):c(m*m+v*v)),j=s(n(v-m)/2,+w.apply(this,arguments)),U=j,V=j;if(N>1e-12){var q=d(N/m*l(B)),H=d(N/v*l(B));(R-=2*q)>1e-12?(O+=q*=C?1:-1,D-=q):(R=0,O=D=(y+x)/2),(F-=2*H)>1e-12?(I+=H*=C?1:-1,z-=H):(F=0,I=z=(y+x)/2)}var G=v*a(I),Y=v*l(I),W=m*a(D),Z=m*l(D);if(j>1e-12){var X,J=v*a(z),K=v*l(z),Q=m*a(O),$=m*l(O);if(E<u&&(X=b(G,Y,Q,$,J,K,W,Z))){var tt=G-X[0],et=Y-X[1],rt=J-X[0],nt=K-X[1],it=1/l(p((tt*rt+et*nt)/(c(tt*tt+et*et)*c(rt*rt+nt*nt)))/2),at=c(X[0]*X[0]+X[1]*X[1]);U=s(j,(m-at)/(it-1)),V=s(j,(v-at)/(it+1))}}F>1e-12?V>1e-12?(L=_(Q,$,G,Y,v,V,C),P=_(J,K,W,Z,v,V,C),S.moveTo(L.cx+L.x01,L.cy+L.y01),V<j?S.arc(L.cx,L.cy,V,i(L.y01,L.x01),i(P.y01,P.x01),!C):(S.arc(L.cx,L.cy,V,i(L.y01,L.x01),i(L.y11,L.x11),!C),S.arc(0,0,v,i(L.cy+L.y11,L.cx+L.x11),i(P.cy+P.y11,P.cx+P.x11),!C),S.arc(P.cx,P.cy,V,i(P.y11,P.x11),i(P.y01,P.x01),!C))):(S.moveTo(G,Y),S.arc(0,0,v,I,z,!C)):S.moveTo(G,Y),m>1e-12&&R>1e-12?U>1e-12?(L=_(W,Z,J,K,m,-U,C),P=_(G,Y,Q,$,m,-U,C),S.lineTo(L.cx+L.x01,L.cy+L.y01),U<j?S.arc(L.cx,L.cy,U,i(L.y01,L.x01),i(P.y01,P.x01),!C):(S.arc(L.cx,L.cy,U,i(L.y01,L.x01),i(L.y11,L.x11),!C),S.arc(0,0,m,i(L.cy+L.y11,L.cx+L.x11),i(P.cy+P.y11,P.cx+P.x11),C),S.arc(P.cx,P.cy,U,i(P.y11,P.x11),i(P.y01,P.x01),!C))):S.arc(0,0,m,D,O,C):S.lineTo(W,Z)}else S.moveTo(0,0);if(S.closePath(),r)return S=null,r+""||null}return E.centroid=function(){var e=(+t.apply(this,arguments)+ +o.apply(this,arguments))/2,r=(+k.apply(this,arguments)+ +M.apply(this,arguments))/2-u/2;return[a(r)*e,l(r)*e]},E.innerRadius=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),E):t},E.outerRadius=function(t){return arguments.length?(o="function"==typeof t?t:r(+t),E):o},E.cornerRadius=function(t){return arguments.length?(w="function"==typeof t?t:r(+t),E):w},E.padRadius=function(t){return arguments.length?(T=null==t?null:"function"==typeof t?t:r(+t),E):T},E.startAngle=function(t){return arguments.length?(k="function"==typeof t?t:r(+t),E):k},E.endAngle=function(t){return arguments.length?(M="function"==typeof t?t:r(+t),E):M},E.padAngle=function(t){return arguments.length?(A="function"==typeof t?t:r(+t),E):A},E.context=function(t){return arguments.length?(S=null==t?null:t,E):S},E},t.area=S,t.areaRadial=D,t.curveBasis=function(t){return new ut(t)},t.curveBasisClosed=function(t){return new ht(t)},t.curveBasisOpen=function(t){return new ft(t)},t.curveBundle=dt,t.curveCardinal=vt,t.curveCardinalClosed=xt,t.curveCardinalOpen=_t,t.curveCatmullRom=kt,t.curveCatmullRomClosed=At,t.curveCatmullRomOpen=Et,t.curveLinear=T,t.curveLinearClosed=function(t){return new Ct(t)},t.curveMonotoneX=function(t){return new Ot(t)},t.curveMonotoneY=function(t){return new Dt(t)},t.curveNatural=function(t){return new Ft(t)},t.curveStep=function(t){return new Nt(t,.5)},t.curveStepAfter=function(t){return new Nt(t,1)},t.curveStepBefore=function(t){return new Nt(t,0)},t.line=A,t.lineRadial=O,t.linkHorizontal=function(){return j(U)},t.linkRadial=function(){var t=j(q);return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t},t.linkVertical=function(){return j(V)},t.pie=function(){var t=C,e=E,n=null,i=r(0),a=r(f),o=r(0);function s(r){var s,l,c,u,h,p=r.length,d=0,g=new Array(p),m=new Array(p),v=+i.apply(this,arguments),y=Math.min(f,Math.max(-f,a.apply(this,arguments)-v)),x=Math.min(Math.abs(y)/p,o.apply(this,arguments)),b=x*(y<0?-1:1);for(s=0;s<p;++s)(h=m[g[s]=s]=+t(r[s],s,r))>0&&(d+=h);for(null!=e?g.sort((function(t,r){return e(m[t],m[r])})):null!=n&&g.sort((function(t,e){return n(r[t],r[e])})),s=0,c=d?(y-p*b)/d:0;s<p;++s,v=u)l=g[s],u=v+((h=m[l])>0?h*c:0)+b,m[l]={data:r[l],index:s,value:h,startAngle:v,endAngle:u,padAngle:x};return m}return s.value=function(e){return arguments.length?(t="function"==typeof e?e:r(+e),s):t},s.sortValues=function(t){return arguments.length?(e=t,n=null,s):e},s.sort=function(t){return arguments.length?(n=t,e=null,s):n},s.startAngle=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),s):i},s.endAngle=function(t){return arguments.length?(a="function"==typeof t?t:r(+t),s):a},s.padAngle=function(t){return arguments.length?(o="function"==typeof t?t:r(+t),s):o},s},t.pointRadial=R,t.radialArea=D,t.radialLine=O,t.stack=function(){var t=r([]),e=Ut,n=jt,i=Vt;function a(r){var a,o,s=t.apply(this,arguments),l=r.length,c=s.length,u=new Array(c);for(a=0;a<c;++a){for(var h,f=s[a],p=u[a]=new Array(l),d=0;d<l;++d)p[d]=h=[0,+i(r[d],f,d,r)],h.data=r[d];p.key=f}for(a=0,o=e(u);a<c;++a)u[o[a]].index=a;return n(u,o),u}return a.keys=function(e){return arguments.length?(t="function"==typeof e?e:r(F.call(e)),a):t},a.value=function(t){return arguments.length?(i="function"==typeof t?t:r(+t),a):i},a.order=function(t){return arguments.length?(e=null==t?Ut:"function"==typeof t?t:r(F.call(t)),a):e},a.offset=function(t){return arguments.length?(n=null==t?jt:t,a):n},a},t.stackOffsetDiverging=function(t,e){if((s=t.length)>0)for(var r,n,i,a,o,s,l=0,c=t[e[0]].length;l<c;++l)for(a=o=0,r=0;r<s;++r)(i=(n=t[e[r]][l])[1]-n[0])>0?(n[0]=a,n[1]=a+=i):i<0?(n[1]=o,n[0]=o+=i):(n[0]=0,n[1]=i)},t.stackOffsetExpand=function(t,e){if((n=t.length)>0){for(var r,n,i,a=0,o=t[0].length;a<o;++a){for(i=r=0;r<n;++r)i+=t[r][a][1]||0;if(i)for(r=0;r<n;++r)t[r][a][1]/=i}jt(t,e)}},t.stackOffsetNone=jt,t.stackOffsetSilhouette=function(t,e){if((r=t.length)>0){for(var r,n=0,i=t[e[0]],a=i.length;n<a;++n){for(var o=0,s=0;o<r;++o)s+=t[o][n][1]||0;i[n][1]+=i[n][0]=-s/2}jt(t,e)}},t.stackOffsetWiggle=function(t,e){if((i=t.length)>0&&(n=(r=t[e[0]]).length)>0){for(var r,n,i,a=0,o=1;o<n;++o){for(var s=0,l=0,c=0;s<i;++s){for(var u=t[e[s]],h=u[o][1]||0,f=(h-(u[o-1][1]||0))/2,p=0;p<s;++p){var d=t[e[p]];f+=(d[o][1]||0)-(d[o-1][1]||0)}l+=h,c+=f*h}r[o-1][1]+=r[o-1][0]=a,l&&(a-=c/l)}r[o-1][1]+=r[o-1][0]=a,jt(t,e)}},t.stackOrderAppearance=qt,t.stackOrderAscending=Gt,t.stackOrderDescending=function(t){return Gt(t).reverse()},t.stackOrderInsideOut=function(t){var e,r,n=t.length,i=t.map(Yt),a=qt(t),o=0,s=0,l=[],c=[];for(e=0;e<n;++e)r=a[e],o<s?(o+=i[r],l.push(r)):(s+=i[r],c.push(r));return c.reverse().concat(l)},t.stackOrderNone=Ut,t.stackOrderReverse=function(t){return Ut(t).reverse()},t.symbol=function(){var t=r(H),n=r(64),i=null;function a(){var r;if(i||(i=r=e.path()),t.apply(this,arguments).draw(i,+n.apply(this,arguments)),r)return i=null,r+""||null}return a.type=function(e){return arguments.length?(t="function"==typeof e?e:r(e),a):t},a.size=function(t){return arguments.length?(n="function"==typeof t?t:r(+t),a):n},a.context=function(t){return arguments.length?(i=null==t?null:t,a):i},a},t.symbolCircle=H,t.symbolCross=G,t.symbolDiamond=Z,t.symbolSquare=$,t.symbolStar=Q,t.symbolTriangle=et,t.symbolWye=ot,t.symbols=st,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-path":163}],166:[function(t,e,r){!function(n,i){"object"==typeof r&&"undefined"!=typeof e?i(r,t("d3-time")):i((n=n||self).d3=n.d3||{},n.d3)}(this,(function(t,e){"use strict";function r(t){if(0<=t.y&&t.y<100){var e=new Date(-1,t.m,t.d,t.H,t.M,t.S,t.L);return e.setFullYear(t.y),e}return new Date(t.y,t.m,t.d,t.H,t.M,t.S,t.L)}function n(t){if(0<=t.y&&t.y<100){var e=new Date(Date.UTC(-1,t.m,t.d,t.H,t.M,t.S,t.L));return e.setUTCFullYear(t.y),e}return new Date(Date.UTC(t.y,t.m,t.d,t.H,t.M,t.S,t.L))}function i(t,e,r){return{y:t,m:e,d:r,H:0,M:0,S:0,L:0}}function a(t){var a=t.dateTime,o=t.date,l=t.time,c=t.periods,u=t.days,h=t.shortDays,f=t.months,yt=t.shortMonths,xt=p(c),bt=d(c),_t=p(u),wt=d(u),Tt=p(h),kt=d(h),Mt=p(f),At=d(f),St=p(yt),Et=d(yt),Ct={a:function(t){return h[t.getDay()]},A:function(t){return u[t.getDay()]},b:function(t){return yt[t.getMonth()]},B:function(t){return f[t.getMonth()]},c:null,d:D,e:D,f:j,H:R,I:F,j:B,L:N,m:U,M:V,p:function(t){return c[+(t.getHours()>=12)]},q:function(t){return 1+~~(t.getMonth()/3)},Q:mt,s:vt,S:q,u:H,U:G,V:Y,w:W,W:Z,x:null,X:null,y:X,Y:J,Z:K,"%":gt},Lt={a:function(t){return h[t.getUTCDay()]},A:function(t){return u[t.getUTCDay()]},b:function(t){return yt[t.getUTCMonth()]},B:function(t){return f[t.getUTCMonth()]},c:null,d:Q,e:Q,f:nt,H:$,I:tt,j:et,L:rt,m:it,M:at,p:function(t){return c[+(t.getUTCHours()>=12)]},q:function(t){return 1+~~(t.getUTCMonth()/3)},Q:mt,s:vt,S:ot,u:st,U:lt,V:ct,w:ut,W:ht,x:null,X:null,y:ft,Y:pt,Z:dt,"%":gt},Pt={a:function(t,e,r){var n=Tt.exec(e.slice(r));return n?(t.w=kt[n[0].toLowerCase()],r+n[0].length):-1},A:function(t,e,r){var n=_t.exec(e.slice(r));return n?(t.w=wt[n[0].toLowerCase()],r+n[0].length):-1},b:function(t,e,r){var n=St.exec(e.slice(r));return n?(t.m=Et[n[0].toLowerCase()],r+n[0].length):-1},B:function(t,e,r){var n=Mt.exec(e.slice(r));return n?(t.m=At[n[0].toLowerCase()],r+n[0].length):-1},c:function(t,e,r){return Ot(t,a,e,r)},d:M,e:M,f:P,H:S,I:S,j:A,L:L,m:k,M:E,p:function(t,e,r){var n=xt.exec(e.slice(r));return n?(t.p=bt[n[0].toLowerCase()],r+n[0].length):-1},q:T,Q:z,s:O,S:C,u:m,U:v,V:y,w:g,W:x,x:function(t,e,r){return Ot(t,o,e,r)},X:function(t,e,r){return Ot(t,l,e,r)},y:_,Y:b,Z:w,"%":I};function It(t,e){return function(r){var n,i,a,o=[],l=-1,c=0,u=t.length;for(r instanceof Date||(r=new Date(+r));++l<u;)37===t.charCodeAt(l)&&(o.push(t.slice(c,l)),null!=(i=s[n=t.charAt(++l)])?n=t.charAt(++l):i="e"===n?" ":"0",(a=e[n])&&(n=a(r,i)),o.push(n),c=l+1);return o.push(t.slice(c,l)),o.join("")}}function zt(t,a){return function(o){var s,l,c=i(1900,void 0,1);if(Ot(c,t,o+="",0)!=o.length)return null;if("Q"in c)return new Date(c.Q);if("s"in c)return new Date(1e3*c.s+("L"in c?c.L:0));if(a&&!("Z"in c)&&(c.Z=0),"p"in c&&(c.H=c.H%12+12*c.p),void 0===c.m&&(c.m="q"in c?c.q:0),"V"in c){if(c.V<1||c.V>53)return null;"w"in c||(c.w=1),"Z"in c?(l=(s=n(i(c.y,0,1))).getUTCDay(),s=l>4||0===l?e.utcMonday.ceil(s):e.utcMonday(s),s=e.utcDay.offset(s,7*(c.V-1)),c.y=s.getUTCFullYear(),c.m=s.getUTCMonth(),c.d=s.getUTCDate()+(c.w+6)%7):(l=(s=r(i(c.y,0,1))).getDay(),s=l>4||0===l?e.timeMonday.ceil(s):e.timeMonday(s),s=e.timeDay.offset(s,7*(c.V-1)),c.y=s.getFullYear(),c.m=s.getMonth(),c.d=s.getDate()+(c.w+6)%7)}else("W"in c||"U"in c)&&("w"in c||(c.w="u"in c?c.u%7:"W"in c?1:0),l="Z"in c?n(i(c.y,0,1)).getUTCDay():r(i(c.y,0,1)).getDay(),c.m=0,c.d="W"in c?(c.w+6)%7+7*c.W-(l+5)%7:c.w+7*c.U-(l+6)%7);return"Z"in c?(c.H+=c.Z/100|0,c.M+=c.Z%100,n(c)):r(c)}}function Ot(t,e,r,n){for(var i,a,o=0,l=e.length,c=r.length;o<l;){if(n>=c)return-1;if(37===(i=e.charCodeAt(o++))){if(i=e.charAt(o++),!(a=Pt[i in s?e.charAt(o++):i])||(n=a(t,r,n))<0)return-1}else if(i!=r.charCodeAt(n++))return-1}return n}return Ct.x=It(o,Ct),Ct.X=It(l,Ct),Ct.c=It(a,Ct),Lt.x=It(o,Lt),Lt.X=It(l,Lt),Lt.c=It(a,Lt),{format:function(t){var e=It(t+="",Ct);return e.toString=function(){return t},e},parse:function(t){var e=zt(t+="",!1);return e.toString=function(){return t},e},utcFormat:function(t){var e=It(t+="",Lt);return e.toString=function(){return t},e},utcParse:function(t){var e=zt(t+="",!0);return e.toString=function(){return t},e}}}var o,s={"-":"",_:" ",0:"0"},l=/^\s*\d+/,c=/^%/,u=/[\\^$*+?|[\]().{}]/g;function h(t,e,r){var n=t<0?"-":"",i=(n?-t:t)+"",a=i.length;return n+(a<r?new Array(r-a+1).join(e)+i:i)}function f(t){return t.replace(u,"\\$&")}function p(t){return new RegExp("^(?:"+t.map(f).join("|")+")","i")}function d(t){for(var e={},r=-1,n=t.length;++r<n;)e[t[r].toLowerCase()]=r;return e}function g(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.w=+n[0],r+n[0].length):-1}function m(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.u=+n[0],r+n[0].length):-1}function v(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.U=+n[0],r+n[0].length):-1}function y(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.V=+n[0],r+n[0].length):-1}function x(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.W=+n[0],r+n[0].length):-1}function b(t,e,r){var n=l.exec(e.slice(r,r+4));return n?(t.y=+n[0],r+n[0].length):-1}function _(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.y=+n[0]+(+n[0]>68?1900:2e3),r+n[0].length):-1}function w(t,e,r){var n=/^(Z)|([+-]\d\d)(?::?(\d\d))?/.exec(e.slice(r,r+6));return n?(t.Z=n[1]?0:-(n[2]+(n[3]||"00")),r+n[0].length):-1}function T(t,e,r){var n=l.exec(e.slice(r,r+1));return n?(t.q=3*n[0]-3,r+n[0].length):-1}function k(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.m=n[0]-1,r+n[0].length):-1}function M(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.d=+n[0],r+n[0].length):-1}function A(t,e,r){var n=l.exec(e.slice(r,r+3));return n?(t.m=0,t.d=+n[0],r+n[0].length):-1}function S(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.H=+n[0],r+n[0].length):-1}function E(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.M=+n[0],r+n[0].length):-1}function C(t,e,r){var n=l.exec(e.slice(r,r+2));return n?(t.S=+n[0],r+n[0].length):-1}function L(t,e,r){var n=l.exec(e.slice(r,r+3));return n?(t.L=+n[0],r+n[0].length):-1}function P(t,e,r){var n=l.exec(e.slice(r,r+6));return n?(t.L=Math.floor(n[0]/1e3),r+n[0].length):-1}function I(t,e,r){var n=c.exec(e.slice(r,r+1));return n?r+n[0].length:-1}function z(t,e,r){var n=l.exec(e.slice(r));return n?(t.Q=+n[0],r+n[0].length):-1}function O(t,e,r){var n=l.exec(e.slice(r));return n?(t.s=+n[0],r+n[0].length):-1}function D(t,e){return h(t.getDate(),e,2)}function R(t,e){return h(t.getHours(),e,2)}function F(t,e){return h(t.getHours()%12||12,e,2)}function B(t,r){return h(1+e.timeDay.count(e.timeYear(t),t),r,3)}function N(t,e){return h(t.getMilliseconds(),e,3)}function j(t,e){return N(t,e)+"000"}function U(t,e){return h(t.getMonth()+1,e,2)}function V(t,e){return h(t.getMinutes(),e,2)}function q(t,e){return h(t.getSeconds(),e,2)}function H(t){var e=t.getDay();return 0===e?7:e}function G(t,r){return h(e.timeSunday.count(e.timeYear(t)-1,t),r,2)}function Y(t,r){var n=t.getDay();return t=n>=4||0===n?e.timeThursday(t):e.timeThursday.ceil(t),h(e.timeThursday.count(e.timeYear(t),t)+(4===e.timeYear(t).getDay()),r,2)}function W(t){return t.getDay()}function Z(t,r){return h(e.timeMonday.count(e.timeYear(t)-1,t),r,2)}function X(t,e){return h(t.getFullYear()%100,e,2)}function J(t,e){return h(t.getFullYear()%1e4,e,4)}function K(t){var e=t.getTimezoneOffset();return(e>0?"-":(e*=-1,"+"))+h(e/60|0,"0",2)+h(e%60,"0",2)}function Q(t,e){return h(t.getUTCDate(),e,2)}function $(t,e){return h(t.getUTCHours(),e,2)}function tt(t,e){return h(t.getUTCHours()%12||12,e,2)}function et(t,r){return h(1+e.utcDay.count(e.utcYear(t),t),r,3)}function rt(t,e){return h(t.getUTCMilliseconds(),e,3)}function nt(t,e){return rt(t,e)+"000"}function it(t,e){return h(t.getUTCMonth()+1,e,2)}function at(t,e){return h(t.getUTCMinutes(),e,2)}function ot(t,e){return h(t.getUTCSeconds(),e,2)}function st(t){var e=t.getUTCDay();return 0===e?7:e}function lt(t,r){return h(e.utcSunday.count(e.utcYear(t)-1,t),r,2)}function ct(t,r){var n=t.getUTCDay();return t=n>=4||0===n?e.utcThursday(t):e.utcThursday.ceil(t),h(e.utcThursday.count(e.utcYear(t),t)+(4===e.utcYear(t).getUTCDay()),r,2)}function ut(t){return t.getUTCDay()}function ht(t,r){return h(e.utcMonday.count(e.utcYear(t)-1,t),r,2)}function ft(t,e){return h(t.getUTCFullYear()%100,e,2)}function pt(t,e){return h(t.getUTCFullYear()%1e4,e,4)}function dt(){return"+0000"}function gt(){return"%"}function mt(t){return+t}function vt(t){return Math.floor(+t/1e3)}function yt(e){return o=a(e),t.timeFormat=o.format,t.timeParse=o.parse,t.utcFormat=o.utcFormat,t.utcParse=o.utcParse,o}yt({dateTime:"%x, %X",date:"%-m/%-d/%Y",time:"%-I:%M:%S %p",periods:["AM","PM"],days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]});var xt=Date.prototype.toISOString?function(t){return t.toISOString()}:t.utcFormat("%Y-%m-%dT%H:%M:%S.%LZ");var bt=+new Date("2000-01-01T00:00:00.000Z")?function(t){var e=new Date(t);return isNaN(e)?null:e}:t.utcParse("%Y-%m-%dT%H:%M:%S.%LZ");t.isoFormat=xt,t.isoParse=bt,t.timeFormatDefaultLocale=yt,t.timeFormatLocale=a,Object.defineProperty(t,"__esModule",{value:!0})}))},{"d3-time":167}],167:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e=new Date,r=new Date;function n(t,i,a,o){function s(e){return t(e=0===arguments.length?new Date:new Date(+e)),e}return s.floor=function(e){return t(e=new Date(+e)),e},s.ceil=function(e){return t(e=new Date(e-1)),i(e,1),t(e),e},s.round=function(t){var e=s(t),r=s.ceil(t);return t-e<r-t?e:r},s.offset=function(t,e){return i(t=new Date(+t),null==e?1:Math.floor(e)),t},s.range=function(e,r,n){var a,o=[];if(e=s.ceil(e),n=null==n?1:Math.floor(n),!(e<r&&n>0))return o;do{o.push(a=new Date(+e)),i(e,n),t(e)}while(a<e&&e<r);return o},s.filter=function(e){return n((function(r){if(r>=r)for(;t(r),!e(r);)r.setTime(r-1)}),(function(t,r){if(t>=t)if(r<0)for(;++r<=0;)for(;i(t,-1),!e(t););else for(;--r>=0;)for(;i(t,1),!e(t););}))},a&&(s.count=function(n,i){return e.setTime(+n),r.setTime(+i),t(e),t(r),Math.floor(a(e,r))},s.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?s.filter(o?function(e){return o(e)%t==0}:function(e){return s.count(0,e)%t==0}):s:null}),s}var i=n((function(){}),(function(t,e){t.setTime(+t+e)}),(function(t,e){return e-t}));i.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?n((function(e){e.setTime(Math.floor(e/t)*t)}),(function(e,r){e.setTime(+e+r*t)}),(function(e,r){return(r-e)/t})):i:null};var a=i.range,o=n((function(t){t.setTime(t-t.getMilliseconds())}),(function(t,e){t.setTime(+t+1e3*e)}),(function(t,e){return(e-t)/1e3}),(function(t){return t.getUTCSeconds()})),s=o.range,l=n((function(t){t.setTime(t-t.getMilliseconds()-1e3*t.getSeconds())}),(function(t,e){t.setTime(+t+6e4*e)}),(function(t,e){return(e-t)/6e4}),(function(t){return t.getMinutes()})),c=l.range,u=n((function(t){t.setTime(t-t.getMilliseconds()-1e3*t.getSeconds()-6e4*t.getMinutes())}),(function(t,e){t.setTime(+t+36e5*e)}),(function(t,e){return(e-t)/36e5}),(function(t){return t.getHours()})),h=u.range,f=n((function(t){t.setHours(0,0,0,0)}),(function(t,e){t.setDate(t.getDate()+e)}),(function(t,e){return(e-t-6e4*(e.getTimezoneOffset()-t.getTimezoneOffset()))/864e5}),(function(t){return t.getDate()-1})),p=f.range;function d(t){return n((function(e){e.setDate(e.getDate()-(e.getDay()+7-t)%7),e.setHours(0,0,0,0)}),(function(t,e){t.setDate(t.getDate()+7*e)}),(function(t,e){return(e-t-6e4*(e.getTimezoneOffset()-t.getTimezoneOffset()))/6048e5}))}var g=d(0),m=d(1),v=d(2),y=d(3),x=d(4),b=d(5),_=d(6),w=g.range,T=m.range,k=v.range,M=y.range,A=x.range,S=b.range,E=_.range,C=n((function(t){t.setDate(1),t.setHours(0,0,0,0)}),(function(t,e){t.setMonth(t.getMonth()+e)}),(function(t,e){return e.getMonth()-t.getMonth()+12*(e.getFullYear()-t.getFullYear())}),(function(t){return t.getMonth()})),L=C.range,P=n((function(t){t.setMonth(0,1),t.setHours(0,0,0,0)}),(function(t,e){t.setFullYear(t.getFullYear()+e)}),(function(t,e){return e.getFullYear()-t.getFullYear()}),(function(t){return t.getFullYear()}));P.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n((function(e){e.setFullYear(Math.floor(e.getFullYear()/t)*t),e.setMonth(0,1),e.setHours(0,0,0,0)}),(function(e,r){e.setFullYear(e.getFullYear()+r*t)})):null};var I=P.range,z=n((function(t){t.setUTCSeconds(0,0)}),(function(t,e){t.setTime(+t+6e4*e)}),(function(t,e){return(e-t)/6e4}),(function(t){return t.getUTCMinutes()})),O=z.range,D=n((function(t){t.setUTCMinutes(0,0,0)}),(function(t,e){t.setTime(+t+36e5*e)}),(function(t,e){return(e-t)/36e5}),(function(t){return t.getUTCHours()})),R=D.range,F=n((function(t){t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCDate(t.getUTCDate()+e)}),(function(t,e){return(e-t)/864e5}),(function(t){return t.getUTCDate()-1})),B=F.range;function N(t){return n((function(e){e.setUTCDate(e.getUTCDate()-(e.getUTCDay()+7-t)%7),e.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCDate(t.getUTCDate()+7*e)}),(function(t,e){return(e-t)/6048e5}))}var j=N(0),U=N(1),V=N(2),q=N(3),H=N(4),G=N(5),Y=N(6),W=j.range,Z=U.range,X=V.range,J=q.range,K=H.range,Q=G.range,$=Y.range,tt=n((function(t){t.setUTCDate(1),t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCMonth(t.getUTCMonth()+e)}),(function(t,e){return e.getUTCMonth()-t.getUTCMonth()+12*(e.getUTCFullYear()-t.getUTCFullYear())}),(function(t){return t.getUTCMonth()})),et=tt.range,rt=n((function(t){t.setUTCMonth(0,1),t.setUTCHours(0,0,0,0)}),(function(t,e){t.setUTCFullYear(t.getUTCFullYear()+e)}),(function(t,e){return e.getUTCFullYear()-t.getUTCFullYear()}),(function(t){return t.getUTCFullYear()}));rt.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n((function(e){e.setUTCFullYear(Math.floor(e.getUTCFullYear()/t)*t),e.setUTCMonth(0,1),e.setUTCHours(0,0,0,0)}),(function(e,r){e.setUTCFullYear(e.getUTCFullYear()+r*t)})):null};var nt=rt.range;t.timeDay=f,t.timeDays=p,t.timeFriday=b,t.timeFridays=S,t.timeHour=u,t.timeHours=h,t.timeInterval=n,t.timeMillisecond=i,t.timeMilliseconds=a,t.timeMinute=l,t.timeMinutes=c,t.timeMonday=m,t.timeMondays=T,t.timeMonth=C,t.timeMonths=L,t.timeSaturday=_,t.timeSaturdays=E,t.timeSecond=o,t.timeSeconds=s,t.timeSunday=g,t.timeSundays=w,t.timeThursday=x,t.timeThursdays=A,t.timeTuesday=v,t.timeTuesdays=k,t.timeWednesday=y,t.timeWednesdays=M,t.timeWeek=g,t.timeWeeks=w,t.timeYear=P,t.timeYears=I,t.utcDay=F,t.utcDays=B,t.utcFriday=G,t.utcFridays=Q,t.utcHour=D,t.utcHours=R,t.utcMillisecond=i,t.utcMilliseconds=a,t.utcMinute=z,t.utcMinutes=O,t.utcMonday=U,t.utcMondays=Z,t.utcMonth=tt,t.utcMonths=et,t.utcSaturday=Y,t.utcSaturdays=$,t.utcSecond=o,t.utcSeconds=s,t.utcSunday=j,t.utcSundays=W,t.utcThursday=H,t.utcThursdays=K,t.utcTuesday=V,t.utcTuesdays=X,t.utcWednesday=q,t.utcWednesdays=J,t.utcWeek=j,t.utcWeeks=W,t.utcYear=rt,t.utcYears=nt,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],168:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).d3=t.d3||{})}(this,(function(t){"use strict";var e,r,n=0,i=0,a=0,o=0,s=0,l=0,c="object"==typeof performance&&performance.now?performance:Date,u="object"==typeof window&&window.requestAnimationFrame?window.requestAnimationFrame.bind(window):function(t){setTimeout(t,17)};function h(){return s||(u(f),s=c.now()+l)}function f(){s=0}function p(){this._call=this._time=this._next=null}function d(t,e,r){var n=new p;return n.restart(t,e,r),n}function g(){h(),++n;for(var t,r=e;r;)(t=s-r._time)>=0&&r._call.call(null,t),r=r._next;--n}function m(){s=(o=c.now())+l,n=i=0;try{g()}finally{n=0,function(){var t,n,i=e,a=1/0;for(;i;)i._call?(a>i._time&&(a=i._time),t=i,i=i._next):(n=i._next,i._next=null,i=t?t._next=n:e=n);r=t,y(a)}(),s=0}}function v(){var t=c.now(),e=t-o;e>1e3&&(l-=e,o=t)}function y(t){n||(i&&(i=clearTimeout(i)),t-s>24?(t<1/0&&(i=setTimeout(m,t-c.now()-l)),a&&(a=clearInterval(a))):(a||(o=c.now(),a=setInterval(v,1e3)),n=1,u(m)))}p.prototype=d.prototype={constructor:p,restart:function(t,n,i){if("function"!=typeof t)throw new TypeError("callback is not a function");i=(null==i?h():+i)+(null==n?0:+n),this._next||r===this||(r?r._next=this:e=this,r=this),this._call=t,this._time=i,y()},stop:function(){this._call&&(this._call=null,this._time=1/0,y())}},t.interval=function(t,e,r){var n=new p,i=e;return null==e?(n.restart(t,e,r),n):(e=+e,r=null==r?h():+r,n.restart((function a(o){o+=i,n.restart(a,i+=e,r),t(o)}),e,r),n)},t.now=h,t.timeout=function(t,e,r){var n=new p;return e=null==e?0:+e,n.restart((function(r){n.stop(),t(r+e)}),e,r),n},t.timer=d,t.timerFlush=g,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],169:[function(t,e,r){!function(){var t={version:"3.5.17"},r=[].slice,n=function(t){return r.call(t)},i=this.document;function a(t){return t&&(t.ownerDocument||t.document||t).documentElement}function o(t){return t&&(t.ownerDocument&&t.ownerDocument.defaultView||t.document&&t||t.defaultView)}if(i)try{n(i.documentElement.childNodes)[0].nodeType}catch(t){n=function(t){for(var e=t.length,r=new Array(e);e--;)r[e]=t[e];return r}}if(Date.now||(Date.now=function(){return+new Date}),i)try{i.createElement("DIV").style.setProperty("opacity",0,"")}catch(t){var s=this.Element.prototype,l=s.setAttribute,c=s.setAttributeNS,u=this.CSSStyleDeclaration.prototype,h=u.setProperty;s.setAttribute=function(t,e){l.call(this,t,e+"")},s.setAttributeNS=function(t,e,r){c.call(this,t,e,r+"")},u.setProperty=function(t,e,r){h.call(this,t,e+"",r)}}function f(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}function p(t){return null===t?NaN:+t}function d(t){return!isNaN(t)}function g(t){return{left:function(e,r,n,i){for(arguments.length<3&&(n=0),arguments.length<4&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)<0?n=a+1:i=a}return n},right:function(e,r,n,i){for(arguments.length<3&&(n=0),arguments.length<4&&(i=e.length);n<i;){var a=n+i>>>1;t(e[a],r)>0?i=a:n=a+1}return n}}}t.ascending=f,t.descending=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN},t.min=function(t,e){var r,n,i=-1,a=t.length;if(1===arguments.length){for(;++i<a;)if(null!=(n=t[i])&&n>=n){r=n;break}for(;++i<a;)null!=(n=t[i])&&r>n&&(r=n)}else{for(;++i<a;)if(null!=(n=e.call(t,t[i],i))&&n>=n){r=n;break}for(;++i<a;)null!=(n=e.call(t,t[i],i))&&r>n&&(r=n)}return r},t.max=function(t,e){var r,n,i=-1,a=t.length;if(1===arguments.length){for(;++i<a;)if(null!=(n=t[i])&&n>=n){r=n;break}for(;++i<a;)null!=(n=t[i])&&n>r&&(r=n)}else{for(;++i<a;)if(null!=(n=e.call(t,t[i],i))&&n>=n){r=n;break}for(;++i<a;)null!=(n=e.call(t,t[i],i))&&n>r&&(r=n)}return r},t.extent=function(t,e){var r,n,i,a=-1,o=t.length;if(1===arguments.length){for(;++a<o;)if(null!=(n=t[a])&&n>=n){r=i=n;break}for(;++a<o;)null!=(n=t[a])&&(r>n&&(r=n),i<n&&(i=n))}else{for(;++a<o;)if(null!=(n=e.call(t,t[a],a))&&n>=n){r=i=n;break}for(;++a<o;)null!=(n=e.call(t,t[a],a))&&(r>n&&(r=n),i<n&&(i=n))}return[r,i]},t.sum=function(t,e){var r,n=0,i=t.length,a=-1;if(1===arguments.length)for(;++a<i;)d(r=+t[a])&&(n+=r);else for(;++a<i;)d(r=+e.call(t,t[a],a))&&(n+=r);return n},t.mean=function(t,e){var r,n=0,i=t.length,a=-1,o=i;if(1===arguments.length)for(;++a<i;)d(r=p(t[a]))?n+=r:--o;else for(;++a<i;)d(r=p(e.call(t,t[a],a)))?n+=r:--o;if(o)return n/o},t.quantile=function(t,e){var r=(t.length-1)*e+1,n=Math.floor(r),i=+t[n-1],a=r-n;return a?i+a*(t[n]-i):i},t.median=function(e,r){var n,i=[],a=e.length,o=-1;if(1===arguments.length)for(;++o<a;)d(n=p(e[o]))&&i.push(n);else for(;++o<a;)d(n=p(r.call(e,e[o],o)))&&i.push(n);if(i.length)return t.quantile(i.sort(f),.5)},t.variance=function(t,e){var r,n,i=t.length,a=0,o=0,s=-1,l=0;if(1===arguments.length)for(;++s<i;)d(r=p(t[s]))&&(o+=(n=r-a)*(r-(a+=n/++l)));else for(;++s<i;)d(r=p(e.call(t,t[s],s)))&&(o+=(n=r-a)*(r-(a+=n/++l)));if(l>1)return o/(l-1)},t.deviation=function(){var e=t.variance.apply(this,arguments);return e?Math.sqrt(e):e};var m=g(f);function v(t){return t.length}t.bisectLeft=m.left,t.bisect=t.bisectRight=m.right,t.bisector=function(t){return g(1===t.length?function(e,r){return f(t(e),r)}:t)},t.shuffle=function(t,e,r){(a=arguments.length)<3&&(r=t.length,a<2&&(e=0));for(var n,i,a=r-e;a;)i=Math.random()*a--|0,n=t[a+e],t[a+e]=t[i+e],t[i+e]=n;return t},t.permute=function(t,e){for(var r=e.length,n=new Array(r);r--;)n[r]=t[e[r]];return n},t.pairs=function(t){for(var e=0,r=t.length-1,n=t[0],i=new Array(r<0?0:r);e<r;)i[e]=[n,n=t[++e]];return i},t.transpose=function(e){if(!(a=e.length))return[];for(var r=-1,n=t.min(e,v),i=new Array(n);++r<n;)for(var a,o=-1,s=i[r]=new Array(a);++o<a;)s[o]=e[o][r];return i},t.zip=function(){return t.transpose(arguments)},t.keys=function(t){var e=[];for(var r in t)e.push(r);return e},t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.entries=function(t){var e=[];for(var r in t)e.push({key:r,value:t[r]});return e},t.merge=function(t){for(var e,r,n,i=t.length,a=-1,o=0;++a<i;)o+=t[a].length;for(r=new Array(o);--i>=0;)for(e=(n=t[i]).length;--e>=0;)r[--o]=n[e];return r};var y=Math.abs;function x(t){for(var e=1;t*e%1;)e*=10;return e}function b(t,e){for(var r in e)Object.defineProperty(t.prototype,r,{value:e[r],enumerable:!1})}function _(){this._=Object.create(null)}t.range=function(t,e,r){if(arguments.length<3&&(r=1,arguments.length<2&&(e=t,t=0)),(e-t)/r==1/0)throw new Error("infinite range");var n,i=[],a=x(y(r)),o=-1;if(t*=a,e*=a,(r*=a)<0)for(;(n=t+r*++o)>e;)i.push(n/a);else for(;(n=t+r*++o)<e;)i.push(n/a);return i},t.map=function(t,e){var r=new _;if(t instanceof _)t.forEach((function(t,e){r.set(t,e)}));else if(Array.isArray(t)){var n,i=-1,a=t.length;if(1===arguments.length)for(;++i<a;)r.set(i,t[i]);else for(;++i<a;)r.set(e.call(t,n=t[i],i),n)}else for(var o in t)r.set(o,t[o]);return r};function w(t){return"__proto__"==(t+="")||"\0"===t[0]?"\0"+t:t}function T(t){return"\0"===(t+="")[0]?t.slice(1):t}function k(t){return w(t)in this._}function M(t){return(t=w(t))in this._&&delete this._[t]}function A(){var t=[];for(var e in this._)t.push(T(e));return t}function S(){var t=0;for(var e in this._)++t;return t}function E(){for(var t in this._)return!1;return!0}function C(){this._=Object.create(null)}function L(t){return t}function P(t,e,r){return function(){var n=r.apply(e,arguments);return n===e?t:n}}function I(t,e){if(e in t)return e;e=e.charAt(0).toUpperCase()+e.slice(1);for(var r=0,n=z.length;r<n;++r){var i=z[r]+e;if(i in t)return i}}b(_,{has:k,get:function(t){return this._[w(t)]},set:function(t,e){return this._[w(t)]=e},remove:M,keys:A,values:function(){var t=[];for(var e in this._)t.push(this._[e]);return t},entries:function(){var t=[];for(var e in this._)t.push({key:T(e),value:this._[e]});return t},size:S,empty:E,forEach:function(t){for(var e in this._)t.call(this,T(e),this._[e])}}),t.nest=function(){var e,r,n={},i=[],a=[];function o(t,a,s){if(s>=i.length)return r?r.call(n,a):e?a.sort(e):a;for(var l,c,u,h,f=-1,p=a.length,d=i[s++],g=new _;++f<p;)(h=g.get(l=d(c=a[f])))?h.push(c):g.set(l,[c]);return t?(c=t(),u=function(e,r){c.set(e,o(t,r,s))}):(c={},u=function(e,r){c[e]=o(t,r,s)}),g.forEach(u),c}return n.map=function(t,e){return o(e,t,0)},n.entries=function(e){return function t(e,r){if(r>=i.length)return e;var n=[],o=a[r++];return e.forEach((function(e,i){n.push({key:e,values:t(i,r)})})),o?n.sort((function(t,e){return o(t.key,e.key)})):n}(o(t.map,e,0),0)},n.key=function(t){return i.push(t),n},n.sortKeys=function(t){return a[i.length-1]=t,n},n.sortValues=function(t){return e=t,n},n.rollup=function(t){return r=t,n},n},t.set=function(t){var e=new C;if(t)for(var r=0,n=t.length;r<n;++r)e.add(t[r]);return e},b(C,{has:k,add:function(t){return this._[w(t+="")]=!0,t},remove:M,values:A,size:S,empty:E,forEach:function(t){for(var e in this._)t.call(this,T(e))}}),t.behavior={},t.rebind=function(t,e){for(var r,n=1,i=arguments.length;++n<i;)t[r=arguments[n]]=P(t,e,e[r]);return t};var z=["webkit","ms","moz","Moz","o","O"];function O(){}function D(){}function R(t){var e=[],r=new _;function n(){for(var r,n=e,i=-1,a=n.length;++i<a;)(r=n[i].on)&&r.apply(this,arguments);return t}return n.on=function(n,i){var a,o=r.get(n);return arguments.length<2?o&&o.on:(o&&(o.on=null,e=e.slice(0,a=e.indexOf(o)).concat(e.slice(a+1)),r.remove(n)),i&&e.push(r.set(n,{on:i})),t)},n}function F(){t.event.preventDefault()}function B(){for(var e,r=t.event;e=r.sourceEvent;)r=e;return r}function N(e){for(var r=new D,n=0,i=arguments.length;++n<i;)r[arguments[n]]=R(r);return r.of=function(n,i){return function(a){try{var o=a.sourceEvent=t.event;a.target=e,t.event=a,r[a.type].apply(n,i)}finally{t.event=o}}},r}t.dispatch=function(){for(var t=new D,e=-1,r=arguments.length;++e<r;)t[arguments[e]]=R(t);return t},D.prototype.on=function(t,e){var r=t.indexOf("."),n="";if(r>=0&&(n=t.slice(r+1),t=t.slice(0,r)),t)return arguments.length<2?this[t].on(n):this[t].on(n,e);if(2===arguments.length){if(null==e)for(t in this)this.hasOwnProperty(t)&&this[t].on(n,null);return this}},t.event=null,t.requote=function(t){return t.replace(j,"\\$&")};var j=/[\\\^\$\*\+\?\|\[\]\(\)\.\{\}]/g,U={}.__proto__?function(t,e){t.__proto__=e}:function(t,e){for(var r in e)t[r]=e[r]};function V(t){return U(t,Y),t}var q=function(t,e){return e.querySelector(t)},H=function(t,e){return e.querySelectorAll(t)},G=function(t,e){var r=t.matches||t[I(t,"matchesSelector")];return(G=function(t,e){return r.call(t,e)})(t,e)};"function"==typeof Sizzle&&(q=function(t,e){return Sizzle(t,e)[0]||null},H=Sizzle,G=Sizzle.matchesSelector),t.selection=function(){return t.select(i.documentElement)};var Y=t.selection.prototype=[];function W(t){return"function"==typeof t?t:function(){return q(t,this)}}function Z(t){return"function"==typeof t?t:function(){return H(t,this)}}Y.select=function(t){var e,r,n,i,a=[];t=W(t);for(var o=-1,s=this.length;++o<s;){a.push(e=[]),e.parentNode=(n=this[o]).parentNode;for(var l=-1,c=n.length;++l<c;)(i=n[l])?(e.push(r=t.call(i,i.__data__,l,o)),r&&"__data__"in i&&(r.__data__=i.__data__)):e.push(null)}return V(a)},Y.selectAll=function(t){var e,r,i=[];t=Z(t);for(var a=-1,o=this.length;++a<o;)for(var s=this[a],l=-1,c=s.length;++l<c;)(r=s[l])&&(i.push(e=n(t.call(r,r.__data__,l,a))),e.parentNode=r);return V(i)};var X="http://www.w3.org/1999/xhtml",J={svg:"http://www.w3.org/2000/svg",xhtml:X,xlink:"http://www.w3.org/1999/xlink",xml:"http://www.w3.org/XML/1998/namespace",xmlns:"http://www.w3.org/2000/xmlns/"};function K(e,r){return e=t.ns.qualify(e),null==r?e.local?function(){this.removeAttributeNS(e.space,e.local)}:function(){this.removeAttribute(e)}:"function"==typeof r?e.local?function(){var t=r.apply(this,arguments);null==t?this.removeAttributeNS(e.space,e.local):this.setAttributeNS(e.space,e.local,t)}:function(){var t=r.apply(this,arguments);null==t?this.removeAttribute(e):this.setAttribute(e,t)}:e.local?function(){this.setAttributeNS(e.space,e.local,r)}:function(){this.setAttribute(e,r)}}function Q(t){return t.trim().replace(/\s+/g," ")}function $(e){return new RegExp("(?:^|\\s+)"+t.requote(e)+"(?:\\s+|$)","g")}function tt(t){return(t+"").trim().split(/^|\s+/)}function et(t,e){var r=(t=tt(t).map(rt)).length;return"function"==typeof e?function(){for(var n=-1,i=e.apply(this,arguments);++n<r;)t[n](this,i)}:function(){for(var n=-1;++n<r;)t[n](this,e)}}function rt(t){var e=$(t);return function(r,n){if(i=r.classList)return n?i.add(t):i.remove(t);var i=r.getAttribute("class")||"";n?(e.lastIndex=0,e.test(i)||r.setAttribute("class",Q(i+" "+t))):r.setAttribute("class",Q(i.replace(e," ")))}}function nt(t,e,r){return null==e?function(){this.style.removeProperty(t)}:"function"==typeof e?function(){var n=e.apply(this,arguments);null==n?this.style.removeProperty(t):this.style.setProperty(t,n,r)}:function(){this.style.setProperty(t,e,r)}}function it(t,e){return null==e?function(){delete this[t]}:"function"==typeof e?function(){var r=e.apply(this,arguments);null==r?delete this[t]:this[t]=r}:function(){this[t]=e}}function at(e){return"function"==typeof e?e:(e=t.ns.qualify(e)).local?function(){return this.ownerDocument.createElementNS(e.space,e.local)}:function(){var t=this.ownerDocument,r=this.namespaceURI;return r===X&&t.documentElement.namespaceURI===X?t.createElement(e):t.createElementNS(r,e)}}function ot(){var t=this.parentNode;t&&t.removeChild(this)}function st(t){return{__data__:t}}function lt(t){return function(){return G(this,t)}}function ct(t){return arguments.length||(t=f),function(e,r){return e&&r?t(e.__data__,r.__data__):!e-!r}}function ut(t,e){for(var r=0,n=t.length;r<n;r++)for(var i,a=t[r],o=0,s=a.length;o<s;o++)(i=a[o])&&e(i,o,r);return t}function ht(t){return U(t,ft),t}t.ns={prefix:J,qualify:function(t){var e=t.indexOf(":"),r=t;return e>=0&&"xmlns"!==(r=t.slice(0,e))&&(t=t.slice(e+1)),J.hasOwnProperty(r)?{space:J[r],local:t}:t}},Y.attr=function(e,r){if(arguments.length<2){if("string"==typeof e){var n=this.node();return(e=t.ns.qualify(e)).local?n.getAttributeNS(e.space,e.local):n.getAttribute(e)}for(r in e)this.each(K(r,e[r]));return this}return this.each(K(e,r))},Y.classed=function(t,e){if(arguments.length<2){if("string"==typeof t){var r=this.node(),n=(t=tt(t)).length,i=-1;if(e=r.classList){for(;++i<n;)if(!e.contains(t[i]))return!1}else for(e=r.getAttribute("class");++i<n;)if(!$(t[i]).test(e))return!1;return!0}for(e in t)this.each(et(e,t[e]));return this}return this.each(et(t,e))},Y.style=function(t,e,r){var n=arguments.length;if(n<3){if("string"!=typeof t){for(r in n<2&&(e=""),t)this.each(nt(r,t[r],e));return this}if(n<2){var i=this.node();return o(i).getComputedStyle(i,null).getPropertyValue(t)}r=""}return this.each(nt(t,e,r))},Y.property=function(t,e){if(arguments.length<2){if("string"==typeof t)return this.node()[t];for(e in t)this.each(it(e,t[e]));return this}return this.each(it(t,e))},Y.text=function(t){return arguments.length?this.each("function"==typeof t?function(){var e=t.apply(this,arguments);this.textContent=null==e?"":e}:null==t?function(){this.textContent=""}:function(){this.textContent=t}):this.node().textContent},Y.html=function(t){return arguments.length?this.each("function"==typeof t?function(){var e=t.apply(this,arguments);this.innerHTML=null==e?"":e}:null==t?function(){this.innerHTML=""}:function(){this.innerHTML=t}):this.node().innerHTML},Y.append=function(t){return t=at(t),this.select((function(){return this.appendChild(t.apply(this,arguments))}))},Y.insert=function(t,e){return t=at(t),e=W(e),this.select((function(){return this.insertBefore(t.apply(this,arguments),e.apply(this,arguments)||null)}))},Y.remove=function(){return this.each(ot)},Y.data=function(t,e){var r,n,i=-1,a=this.length;if(!arguments.length){for(t=new Array(a=(r=this[0]).length);++i<a;)(n=r[i])&&(t[i]=n.__data__);return t}function o(t,r){var n,i,a,o=t.length,u=r.length,h=Math.min(o,u),f=new Array(u),p=new Array(u),d=new Array(o);if(e){var g,m=new _,v=new Array(o);for(n=-1;++n<o;)(i=t[n])&&(m.has(g=e.call(i,i.__data__,n))?d[n]=i:m.set(g,i),v[n]=g);for(n=-1;++n<u;)(i=m.get(g=e.call(r,a=r[n],n)))?!0!==i&&(f[n]=i,i.__data__=a):p[n]=st(a),m.set(g,!0);for(n=-1;++n<o;)n in v&&!0!==m.get(v[n])&&(d[n]=t[n])}else{for(n=-1;++n<h;)i=t[n],a=r[n],i?(i.__data__=a,f[n]=i):p[n]=st(a);for(;n<u;++n)p[n]=st(r[n]);for(;n<o;++n)d[n]=t[n]}p.update=f,p.parentNode=f.parentNode=d.parentNode=t.parentNode,s.push(p),l.push(f),c.push(d)}var s=ht([]),l=V([]),c=V([]);if("function"==typeof t)for(;++i<a;)o(r=this[i],t.call(r,r.parentNode.__data__,i));else for(;++i<a;)o(r=this[i],t);return l.enter=function(){return s},l.exit=function(){return c},l},Y.datum=function(t){return arguments.length?this.property("__data__",t):this.property("__data__")},Y.filter=function(t){var e,r,n,i=[];"function"!=typeof t&&(t=lt(t));for(var a=0,o=this.length;a<o;a++){i.push(e=[]),e.parentNode=(r=this[a]).parentNode;for(var s=0,l=r.length;s<l;s++)(n=r[s])&&t.call(n,n.__data__,s,a)&&e.push(n)}return V(i)},Y.order=function(){for(var t=-1,e=this.length;++t<e;)for(var r,n=this[t],i=n.length-1,a=n[i];--i>=0;)(r=n[i])&&(a&&a!==r.nextSibling&&a.parentNode.insertBefore(r,a),a=r);return this},Y.sort=function(t){t=ct.apply(this,arguments);for(var e=-1,r=this.length;++e<r;)this[e].sort(t);return this.order()},Y.each=function(t){return ut(this,(function(e,r,n){t.call(e,e.__data__,r,n)}))},Y.call=function(t){var e=n(arguments);return t.apply(e[0]=this,e),this},Y.empty=function(){return!this.node()},Y.node=function(){for(var t=0,e=this.length;t<e;t++)for(var r=this[t],n=0,i=r.length;n<i;n++){var a=r[n];if(a)return a}return null},Y.size=function(){var t=0;return ut(this,(function(){++t})),t};var ft=[];function pt(t){var e,r;return function(n,i,a){var o,s=t[a].update,l=s.length;for(a!=r&&(r=a,e=0),i>=e&&(e=i+1);!(o=s[e])&&++e<l;);return o}}function dt(e,r,i){var a="__on"+e,o=e.indexOf("."),s=mt;o>0&&(e=e.slice(0,o));var l=gt.get(e);function c(){var t=this[a];t&&(this.removeEventListener(e,t,t.$),delete this[a])}return l&&(e=l,s=vt),o?r?function(){var t=s(r,n(arguments));c.call(this),this.addEventListener(e,this[a]=t,t.$=i),t._=r}:c:r?O:function(){var r,n=new RegExp("^__on([^.]+)"+t.requote(e)+"$");for(var i in this)if(r=i.match(n)){var a=this[i];this.removeEventListener(r[1],a,a.$),delete this[i]}}}t.selection.enter=ht,t.selection.enter.prototype=ft,ft.append=Y.append,ft.empty=Y.empty,ft.node=Y.node,ft.call=Y.call,ft.size=Y.size,ft.select=function(t){for(var e,r,n,i,a,o=[],s=-1,l=this.length;++s<l;){n=(i=this[s]).update,o.push(e=[]),e.parentNode=i.parentNode;for(var c=-1,u=i.length;++c<u;)(a=i[c])?(e.push(n[c]=r=t.call(i.parentNode,a.__data__,c,s)),r.__data__=a.__data__):e.push(null)}return V(o)},ft.insert=function(t,e){return arguments.length<2&&(e=pt(this)),Y.insert.call(this,t,e)},t.select=function(t){var e;return"string"==typeof t?(e=[q(t,i)]).parentNode=i.documentElement:(e=[t]).parentNode=a(t),V([e])},t.selectAll=function(t){var e;return"string"==typeof t?(e=n(H(t,i))).parentNode=i.documentElement:(e=n(t)).parentNode=null,V([e])},Y.on=function(t,e,r){var n=arguments.length;if(n<3){if("string"!=typeof t){for(r in n<2&&(e=!1),t)this.each(dt(r,t[r],e));return this}if(n<2)return(n=this.node()["__on"+t])&&n._;r=!1}return this.each(dt(t,e,r))};var gt=t.map({mouseenter:"mouseover",mouseleave:"mouseout"});function mt(e,r){return function(n){var i=t.event;t.event=n,r[0]=this.__data__;try{e.apply(this,r)}finally{t.event=i}}}function vt(t,e){var r=mt(t,e);return function(t){var e=t.relatedTarget;e&&(e===this||8&e.compareDocumentPosition(this))||r.call(this,t)}}i&&gt.forEach((function(t){"on"+t in i&&gt.remove(t)}));var yt,xt=0;function bt(e){var r=".dragsuppress-"+ ++xt,n="click"+r,i=t.select(o(e)).on("touchmove"+r,F).on("dragstart"+r,F).on("selectstart"+r,F);if(null==yt&&(yt=!("onselectstart"in e)&&I(e.style,"userSelect")),yt){var s=a(e).style,l=s[yt];s[yt]="none"}return function(t){if(i.on(r,null),yt&&(s[yt]=l),t){var e=function(){i.on(n,null)};i.on(n,(function(){F(),e()}),!0),setTimeout(e,0)}}}t.mouse=function(t){return wt(t,B())};var _t=this.navigator&&/WebKit/.test(this.navigator.userAgent)?-1:0;function wt(e,r){r.changedTouches&&(r=r.changedTouches[0]);var n=e.ownerSVGElement||e;if(n.createSVGPoint){var i=n.createSVGPoint();if(_t<0){var a=o(e);if(a.scrollX||a.scrollY){var s=(n=t.select("body").append("svg").style({position:"absolute",top:0,left:0,margin:0,padding:0,border:"none"},"important"))[0][0].getScreenCTM();_t=!(s.f||s.e),n.remove()}}return _t?(i.x=r.pageX,i.y=r.pageY):(i.x=r.clientX,i.y=r.clientY),[(i=i.matrixTransform(e.getScreenCTM().inverse())).x,i.y]}var l=e.getBoundingClientRect();return[r.clientX-l.left-e.clientLeft,r.clientY-l.top-e.clientTop]}function Tt(){return t.event.changedTouches[0].identifier}t.touch=function(t,e,r){if(arguments.length<3&&(r=e,e=B().changedTouches),e)for(var n,i=0,a=e.length;i<a;++i)if((n=e[i]).identifier===r)return wt(t,n)},t.behavior.drag=function(){var e=N(a,"drag","dragstart","dragend"),r=null,n=s(O,t.mouse,o,"mousemove","mouseup"),i=s(Tt,t.touch,L,"touchmove","touchend");function a(){this.on("mousedown.drag",n).on("touchstart.drag",i)}function s(n,i,a,o,s){return function(){var l,c=this,u=t.event.target.correspondingElement||t.event.target,h=c.parentNode,f=e.of(c,arguments),p=0,d=n(),g=".drag"+(null==d?"":"-"+d),m=t.select(a(u)).on(o+g,x).on(s+g,b),v=bt(u),y=i(h,d);function x(){var t,e,r=i(h,d);r&&(t=r[0]-y[0],e=r[1]-y[1],p|=t|e,y=r,f({type:"drag",x:r[0]+l[0],y:r[1]+l[1],dx:t,dy:e}))}function b(){i(h,d)&&(m.on(o+g,null).on(s+g,null),v(p),f({type:"dragend"}))}l=r?[(l=r.apply(c,arguments)).x-y[0],l.y-y[1]]:[0,0],f({type:"dragstart"})}}return a.origin=function(t){return arguments.length?(r=t,a):r},t.rebind(a,e,"on")},t.touches=function(t,e){return arguments.length<2&&(e=B().touches),e?n(e).map((function(e){var r=wt(t,e);return r.identifier=e.identifier,r})):[]};var kt=1e-6,Mt=1e-12,At=Math.PI,St=2*At,Et=St-kt,Ct=At/2,Lt=At/180,Pt=180/At;function It(t){return t>0?1:t<0?-1:0}function zt(t,e,r){return(e[0]-t[0])*(r[1]-t[1])-(e[1]-t[1])*(r[0]-t[0])}function Ot(t){return t>1?0:t<-1?At:Math.acos(t)}function Dt(t){return t>1?Ct:t<-1?-Ct:Math.asin(t)}function Rt(t){return((t=Math.exp(t))+1/t)/2}function Ft(t){return(t=Math.sin(t/2))*t}var Bt=Math.SQRT2;t.interpolateZoom=function(t,e){var r,n,i=t[0],a=t[1],o=t[2],s=e[0],l=e[1],c=e[2],u=s-i,h=l-a,f=u*u+h*h;if(f<Mt)n=Math.log(c/o)/Bt,r=function(t){return[i+t*u,a+t*h,o*Math.exp(Bt*t*n)]};else{var p=Math.sqrt(f),d=(c*c-o*o+4*f)/(2*o*2*p),g=(c*c-o*o-4*f)/(2*c*2*p),m=Math.log(Math.sqrt(d*d+1)-d),v=Math.log(Math.sqrt(g*g+1)-g);n=(v-m)/Bt,r=function(t){var e,r=t*n,s=Rt(m),l=o/(2*p)*(s*(e=Bt*r+m,((e=Math.exp(2*e))-1)/(e+1))-function(t){return((t=Math.exp(t))-1/t)/2}(m));return[i+l*u,a+l*h,o*s/Rt(Bt*r+m)]}}return r.duration=1e3*n,r},t.behavior.zoom=function(){var e,r,n,a,s,l,c,u,h,f={x:0,y:0,k:1},p=[960,500],d=Ut,g=250,m=0,v="mousedown.zoom",y="mousemove.zoom",x="mouseup.zoom",b="touchstart.zoom",_=N(w,"zoomstart","zoom","zoomend");function w(t){t.on(v,P).on(jt+".zoom",z).on("dblclick.zoom",O).on(b,I)}function T(t){return[(t[0]-f.x)/f.k,(t[1]-f.y)/f.k]}function k(t){f.k=Math.max(d[0],Math.min(d[1],t))}function M(t,e){e=function(t){return[t[0]*f.k+f.x,t[1]*f.k+f.y]}(e),f.x+=t[0]-e[0],f.y+=t[1]-e[1]}function A(e,n,i,a){e.__chart__={x:f.x,y:f.y,k:f.k},k(Math.pow(2,a)),M(r=n,i),e=t.select(e),g>0&&(e=e.transition().duration(g)),e.call(w.event)}function S(){c&&c.domain(l.range().map((function(t){return(t-f.x)/f.k})).map(l.invert)),h&&h.domain(u.range().map((function(t){return(t-f.y)/f.k})).map(u.invert))}function E(t){m++||t({type:"zoomstart"})}function C(t){S(),t({type:"zoom",scale:f.k,translate:[f.x,f.y]})}function L(t){--m||(t({type:"zoomend"}),r=null)}function P(){var e=this,r=_.of(e,arguments),n=0,i=t.select(o(e)).on(y,l).on(x,c),a=T(t.mouse(e)),s=bt(e);function l(){n=1,M(t.mouse(e),a),C(r)}function c(){i.on(y,null).on(x,null),s(n),L(r)}vs.call(e),E(r)}function I(){var e,r=this,n=_.of(r,arguments),i={},a=0,o=".zoom-"+t.event.changedTouches[0].identifier,l="touchmove"+o,c="touchend"+o,u=[],h=t.select(r),p=bt(r);function d(){var n=t.touches(r);return e=f.k,n.forEach((function(t){t.identifier in i&&(i[t.identifier]=T(t))})),n}function g(){var e=t.event.target;t.select(e).on(l,m).on(c,y),u.push(e);for(var n=t.event.changedTouches,o=0,h=n.length;o<h;++o)i[n[o].identifier]=null;var p=d(),g=Date.now();if(1===p.length){if(g-s<500){var v=p[0];A(r,v,i[v.identifier],Math.floor(Math.log(f.k)/Math.LN2)+1),F()}s=g}else if(p.length>1){v=p[0];var x=p[1],b=v[0]-x[0],_=v[1]-x[1];a=b*b+_*_}}function m(){var o,l,c,u,h=t.touches(r);vs.call(r);for(var f=0,p=h.length;f<p;++f,u=null)if(c=h[f],u=i[c.identifier]){if(l)break;o=c,l=u}if(u){var d=(d=c[0]-o[0])*d+(d=c[1]-o[1])*d,g=a&&Math.sqrt(d/a);o=[(o[0]+c[0])/2,(o[1]+c[1])/2],l=[(l[0]+u[0])/2,(l[1]+u[1])/2],k(g*e)}s=null,M(o,l),C(n)}function y(){if(t.event.touches.length){for(var e=t.event.changedTouches,r=0,a=e.length;r<a;++r)delete i[e[r].identifier];for(var s in i)return void d()}t.selectAll(u).on(o,null),h.on(v,P).on(b,I),p(),L(n)}g(),E(n),h.on(v,null).on(b,g)}function z(){var i=_.of(this,arguments);a?clearTimeout(a):(vs.call(this),e=T(r=n||t.mouse(this)),E(i)),a=setTimeout((function(){a=null,L(i)}),50),F(),k(Math.pow(2,.002*Nt())*f.k),M(r,e),C(i)}function O(){var e=t.mouse(this),r=Math.log(f.k)/Math.LN2;A(this,e,T(e),t.event.shiftKey?Math.ceil(r)-1:Math.floor(r)+1)}return jt||(jt="onwheel"in i?(Nt=function(){return-t.event.deltaY*(t.event.deltaMode?120:1)},"wheel"):"onmousewheel"in i?(Nt=function(){return t.event.wheelDelta},"mousewheel"):(Nt=function(){return-t.event.detail},"MozMousePixelScroll")),w.event=function(e){e.each((function(){var e=_.of(this,arguments),n=f;bs?t.select(this).transition().each("start.zoom",(function(){f=this.__chart__||{x:0,y:0,k:1},E(e)})).tween("zoom:zoom",(function(){var i=p[0],a=p[1],o=r?r[0]:i/2,s=r?r[1]:a/2,l=t.interpolateZoom([(o-f.x)/f.k,(s-f.y)/f.k,i/f.k],[(o-n.x)/n.k,(s-n.y)/n.k,i/n.k]);return function(t){var r=l(t),n=i/r[2];this.__chart__=f={x:o-r[0]*n,y:s-r[1]*n,k:n},C(e)}})).each("interrupt.zoom",(function(){L(e)})).each("end.zoom",(function(){L(e)})):(this.__chart__=f,E(e),C(e),L(e))}))},w.translate=function(t){return arguments.length?(f={x:+t[0],y:+t[1],k:f.k},S(),w):[f.x,f.y]},w.scale=function(t){return arguments.length?(f={x:f.x,y:f.y,k:null},k(+t),S(),w):f.k},w.scaleExtent=function(t){return arguments.length?(d=null==t?Ut:[+t[0],+t[1]],w):d},w.center=function(t){return arguments.length?(n=t&&[+t[0],+t[1]],w):n},w.size=function(t){return arguments.length?(p=t&&[+t[0],+t[1]],w):p},w.duration=function(t){return arguments.length?(g=+t,w):g},w.x=function(t){return arguments.length?(c=t,l=t.copy(),f={x:0,y:0,k:1},w):c},w.y=function(t){return arguments.length?(h=t,u=t.copy(),f={x:0,y:0,k:1},w):h},t.rebind(w,_,"on")};var Nt,jt,Ut=[0,1/0];function Vt(){}function qt(t,e,r){return this instanceof qt?(this.h=+t,this.s=+e,void(this.l=+r)):arguments.length<2?t instanceof qt?new qt(t.h,t.s,t.l):le(""+t,ce,qt):new qt(t,e,r)}t.color=Vt,Vt.prototype.toString=function(){return this.rgb()+""},t.hsl=qt;var Ht=qt.prototype=new Vt;function Gt(t,e,r){var n,i;function a(t){return Math.round(255*function(t){return t>360?t-=360:t<0&&(t+=360),t<60?n+(i-n)*t/60:t<180?i:t<240?n+(i-n)*(240-t)/60:n}(t))}return t=isNaN(t)?0:(t%=360)<0?t+360:t,e=isNaN(e)||e<0?0:e>1?1:e,n=2*(r=r<0?0:r>1?1:r)-(i=r<=.5?r*(1+e):r+e-r*e),new ne(a(t+120),a(t),a(t-120))}function Yt(e,r,n){return this instanceof Yt?(this.h=+e,this.c=+r,void(this.l=+n)):arguments.length<2?e instanceof Yt?new Yt(e.h,e.c,e.l):$t(e instanceof Xt?e.l:(e=ue((e=t.rgb(e)).r,e.g,e.b)).l,e.a,e.b):new Yt(e,r,n)}Ht.brighter=function(t){return t=Math.pow(.7,arguments.length?t:1),new qt(this.h,this.s,this.l/t)},Ht.darker=function(t){return t=Math.pow(.7,arguments.length?t:1),new qt(this.h,this.s,t*this.l)},Ht.rgb=function(){return Gt(this.h,this.s,this.l)},t.hcl=Yt;var Wt=Yt.prototype=new Vt;function Zt(t,e,r){return isNaN(t)&&(t=0),isNaN(e)&&(e=0),new Xt(r,Math.cos(t*=Lt)*e,Math.sin(t)*e)}function Xt(t,e,r){return this instanceof Xt?(this.l=+t,this.a=+e,void(this.b=+r)):arguments.length<2?t instanceof Xt?new Xt(t.l,t.a,t.b):t instanceof Yt?Zt(t.h,t.c,t.l):ue((t=ne(t)).r,t.g,t.b):new Xt(t,e,r)}Wt.brighter=function(t){return new Yt(this.h,this.c,Math.min(100,this.l+Jt*(arguments.length?t:1)))},Wt.darker=function(t){return new Yt(this.h,this.c,Math.max(0,this.l-Jt*(arguments.length?t:1)))},Wt.rgb=function(){return Zt(this.h,this.c,this.l).rgb()},t.lab=Xt;var Jt=18,Kt=Xt.prototype=new Vt;function Qt(t,e,r){var n=(t+16)/116,i=n+e/500,a=n-r/200;return new ne(re(3.2404542*(i=.95047*te(i))-1.5371385*(n=1*te(n))-.4985314*(a=1.08883*te(a))),re(-.969266*i+1.8760108*n+.041556*a),re(.0556434*i-.2040259*n+1.0572252*a))}function $t(t,e,r){return t>0?new Yt(Math.atan2(r,e)*Pt,Math.sqrt(e*e+r*r),t):new Yt(NaN,NaN,t)}function te(t){return t>.206893034?t*t*t:(t-4/29)/7.787037}function ee(t){return t>.008856?Math.pow(t,1/3):7.787037*t+4/29}function re(t){return Math.round(255*(t<=.00304?12.92*t:1.055*Math.pow(t,1/2.4)-.055))}function ne(t,e,r){return this instanceof ne?(this.r=~~t,this.g=~~e,void(this.b=~~r)):arguments.length<2?t instanceof ne?new ne(t.r,t.g,t.b):le(""+t,ne,Gt):new ne(t,e,r)}function ie(t){return new ne(t>>16,t>>8&255,255&t)}function ae(t){return ie(t)+""}Kt.brighter=function(t){return new Xt(Math.min(100,this.l+Jt*(arguments.length?t:1)),this.a,this.b)},Kt.darker=function(t){return new Xt(Math.max(0,this.l-Jt*(arguments.length?t:1)),this.a,this.b)},Kt.rgb=function(){return Qt(this.l,this.a,this.b)},t.rgb=ne;var oe=ne.prototype=new Vt;function se(t){return t<16?"0"+Math.max(0,t).toString(16):Math.min(255,t).toString(16)}function le(t,e,r){var n,i,a,o=0,s=0,l=0;if(n=/([a-z]+)\((.*)\)/.exec(t=t.toLowerCase()))switch(i=n[2].split(","),n[1]){case"hsl":return r(parseFloat(i[0]),parseFloat(i[1])/100,parseFloat(i[2])/100);case"rgb":return e(fe(i[0]),fe(i[1]),fe(i[2]))}return(a=pe.get(t))?e(a.r,a.g,a.b):(null==t||"#"!==t.charAt(0)||isNaN(a=parseInt(t.slice(1),16))||(4===t.length?(o=(3840&a)>>4,o|=o>>4,s=240&a,s|=s>>4,l=15&a,l|=l<<4):7===t.length&&(o=(16711680&a)>>16,s=(65280&a)>>8,l=255&a)),e(o,s,l))}function ce(t,e,r){var n,i,a=Math.min(t/=255,e/=255,r/=255),o=Math.max(t,e,r),s=o-a,l=(o+a)/2;return s?(i=l<.5?s/(o+a):s/(2-o-a),n=t==o?(e-r)/s+(e<r?6:0):e==o?(r-t)/s+2:(t-e)/s+4,n*=60):(n=NaN,i=l>0&&l<1?0:n),new qt(n,i,l)}function ue(t,e,r){var n=ee((.4124564*(t=he(t))+.3575761*(e=he(e))+.1804375*(r=he(r)))/.95047),i=ee((.2126729*t+.7151522*e+.072175*r)/1);return Xt(116*i-16,500*(n-i),200*(i-ee((.0193339*t+.119192*e+.9503041*r)/1.08883)))}function he(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function fe(t){var e=parseFloat(t);return"%"===t.charAt(t.length-1)?Math.round(2.55*e):e}oe.brighter=function(t){t=Math.pow(.7,arguments.length?t:1);var e=this.r,r=this.g,n=this.b,i=30;return e||r||n?(e&&e<i&&(e=i),r&&r<i&&(r=i),n&&n<i&&(n=i),new ne(Math.min(255,e/t),Math.min(255,r/t),Math.min(255,n/t))):new ne(i,i,i)},oe.darker=function(t){return new ne((t=Math.pow(.7,arguments.length?t:1))*this.r,t*this.g,t*this.b)},oe.hsl=function(){return ce(this.r,this.g,this.b)},oe.toString=function(){return"#"+se(this.r)+se(this.g)+se(this.b)};var pe=t.map({aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074});function de(t){return"function"==typeof t?t:function(){return t}}function ge(t){return function(e,r,n){return 2===arguments.length&&"function"==typeof r&&(n=r,r=null),me(e,r,t,n)}}function me(e,r,i,a){var o={},s=t.dispatch("beforesend","progress","load","error"),l={},c=new XMLHttpRequest,u=null;function h(){var t,e=c.status;if(!e&&function(t){var e=t.responseType;return e&&"text"!==e?t.response:t.responseText}(c)||e>=200&&e<300||304===e){try{t=i.call(o,c)}catch(t){return void s.error.call(o,t)}s.load.call(o,t)}else s.error.call(o,c)}return this.XDomainRequest&&!("withCredentials"in c)&&/^(http(s)?:)?\/\//.test(e)&&(c=new XDomainRequest),"onload"in c?c.onload=c.onerror=h:c.onreadystatechange=function(){c.readyState>3&&h()},c.onprogress=function(e){var r=t.event;t.event=e;try{s.progress.call(o,c)}finally{t.event=r}},o.header=function(t,e){return t=(t+"").toLowerCase(),arguments.length<2?l[t]:(null==e?delete l[t]:l[t]=e+"",o)},o.mimeType=function(t){return arguments.length?(r=null==t?null:t+"",o):r},o.responseType=function(t){return arguments.length?(u=t,o):u},o.response=function(t){return i=t,o},["get","post"].forEach((function(t){o[t]=function(){return o.send.apply(o,[t].concat(n(arguments)))}})),o.send=function(t,n,i){if(2===arguments.length&&"function"==typeof n&&(i=n,n=null),c.open(t,e,!0),null==r||"accept"in l||(l.accept=r+",*/*"),c.setRequestHeader)for(var a in l)c.setRequestHeader(a,l[a]);return null!=r&&c.overrideMimeType&&c.overrideMimeType(r),null!=u&&(c.responseType=u),null!=i&&o.on("error",i).on("load",(function(t){i(null,t)})),s.beforesend.call(o,c),c.send(null==n?null:n),o},o.abort=function(){return c.abort(),o},t.rebind(o,s,"on"),null==a?o:o.get(function(t){return 1===t.length?function(e,r){t(null==e?r:null)}:t}(a))}pe.forEach((function(t,e){pe.set(t,ie(e))})),t.functor=de,t.xhr=ge(L),t.dsv=function(t,e){var r=new RegExp('["'+t+"\n]"),n=t.charCodeAt(0);function i(t,r,n){arguments.length<3&&(n=r,r=null);var i=me(t,e,null==r?a:o(r),n);return i.row=function(t){return arguments.length?i.response(null==(r=t)?a:o(t)):r},i}function a(t){return i.parse(t.responseText)}function o(t){return function(e){return i.parse(e.responseText,t)}}function s(e){return e.map(l).join(t)}function l(t){return r.test(t)?'"'+t.replace(/\"/g,'""')+'"':t}return i.parse=function(t,e){var r;return i.parseRows(t,(function(t,n){if(r)return r(t,n-1);var i=new Function("d","return {"+t.map((function(t,e){return JSON.stringify(t)+": d["+e+"]"})).join(",")+"}");r=e?function(t,r){return e(i(t),r)}:i}))},i.parseRows=function(t,e){var r,i,a={},o={},s=[],l=t.length,c=0,u=0;function h(){if(c>=l)return o;if(i)return i=!1,a;var e=c;if(34===t.charCodeAt(e)){for(var r=e;r++<l;)if(34===t.charCodeAt(r)){if(34!==t.charCodeAt(r+1))break;++r}return c=r+2,13===(s=t.charCodeAt(r+1))?(i=!0,10===t.charCodeAt(r+2)&&++c):10===s&&(i=!0),t.slice(e+1,r).replace(/""/g,'"')}for(;c<l;){var s,u=1;if(10===(s=t.charCodeAt(c++)))i=!0;else if(13===s)i=!0,10===t.charCodeAt(c)&&(++c,++u);else if(s!==n)continue;return t.slice(e,c-u)}return t.slice(e)}for(;(r=h())!==o;){for(var f=[];r!==a&&r!==o;)f.push(r),r=h();e&&null==(f=e(f,u++))||s.push(f)}return s},i.format=function(e){if(Array.isArray(e[0]))return i.formatRows(e);var r=new C,n=[];return e.forEach((function(t){for(var e in t)r.has(e)||n.push(r.add(e))})),[n.map(l).join(t)].concat(e.map((function(e){return n.map((function(t){return l(e[t])})).join(t)}))).join("\n")},i.formatRows=function(t){return t.map(s).join("\n")},i},t.csv=t.dsv(",","text/csv"),t.tsv=t.dsv("\t","text/tab-separated-values");var ve,ye,xe,be,_e=this[I(this,"requestAnimationFrame")]||function(t){setTimeout(t,17)};function we(t,e,r){var n=arguments.length;n<2&&(e=0),n<3&&(r=Date.now());var i=r+e,a={c:t,t:i,n:null};return ye?ye.n=a:ve=a,ye=a,xe||(be=clearTimeout(be),xe=1,_e(Te)),a}function Te(){var t=ke(),e=Me()-t;e>24?(isFinite(e)&&(clearTimeout(be),be=setTimeout(Te,e)),xe=0):(xe=1,_e(Te))}function ke(){for(var t=Date.now(),e=ve;e;)t>=e.t&&e.c(t-e.t)&&(e.c=null),e=e.n;return t}function Me(){for(var t,e=ve,r=1/0;e;)e.c?(e.t<r&&(r=e.t),e=(t=e).n):e=t?t.n=e.n:ve=e.n;return ye=t,r}function Ae(t,e){return e-(t?Math.ceil(Math.log(t)/Math.LN10):1)}t.timer=function(){we.apply(this,arguments)},t.timer.flush=function(){ke(),Me()},t.round=function(t,e){return e?Math.round(t*(e=Math.pow(10,e)))/e:Math.round(t)};var Se=["y","z","a","f","p","n","\xb5","m","","k","M","G","T","P","E","Z","Y"].map((function(t,e){var r=Math.pow(10,3*y(8-e));return{scale:e>8?function(t){return t/r}:function(t){return t*r},symbol:t}}));function Ee(e){var r=e.decimal,n=e.thousands,i=e.grouping,a=e.currency,o=i&&n?function(t,e){for(var r=t.length,a=[],o=0,s=i[0],l=0;r>0&&s>0&&(l+s+1>e&&(s=Math.max(1,e-l)),a.push(t.substring(r-=s,r+s)),!((l+=s+1)>e));)s=i[o=(o+1)%i.length];return a.reverse().join(n)}:L;return function(e){var n=Ce.exec(e),i=n[1]||" ",s=n[2]||">",l=n[3]||"-",c=n[4]||"",u=n[5],h=+n[6],f=n[7],p=n[8],d=n[9],g=1,m="",v="",y=!1,x=!0;switch(p&&(p=+p.substring(1)),(u||"0"===i&&"="===s)&&(u=i="0",s="="),d){case"n":f=!0,d="g";break;case"%":g=100,v="%",d="f";break;case"p":g=100,v="%",d="r";break;case"b":case"o":case"x":case"X":"#"===c&&(m="0"+d.toLowerCase());case"c":x=!1;case"d":y=!0,p=0;break;case"s":g=-1,d="r"}"$"===c&&(m=a[0],v=a[1]),"r"!=d||p||(d="g"),null!=p&&("g"==d?p=Math.max(1,Math.min(21,p)):"e"!=d&&"f"!=d||(p=Math.max(0,Math.min(20,p)))),d=Le.get(d)||Pe;var b=u&&f;return function(e){var n=v;if(y&&e%1)return"";var a=e<0||0===e&&1/e<0?(e=-e,"-"):"-"===l?"":l;if(g<0){var c=t.formatPrefix(e,p);e=c.scale(e),n=c.symbol+v}else e*=g;var _,w,T=(e=d(e,p)).lastIndexOf(".");if(T<0){var k=x?e.lastIndexOf("e"):-1;k<0?(_=e,w=""):(_=e.substring(0,k),w=e.substring(k))}else _=e.substring(0,T),w=r+e.substring(T+1);!u&&f&&(_=o(_,1/0));var M=m.length+_.length+w.length+(b?0:a.length),A=M<h?new Array(M=h-M+1).join(i):"";return b&&(_=o(A+_,A.length?h-w.length:1/0)),a+=m,e=_+w,("<"===s?a+e+A:">"===s?A+a+e:"^"===s?A.substring(0,M>>=1)+a+e+A.substring(M):a+(b?e:A+e))+n}}}t.formatPrefix=function(e,r){var n=0;return(e=+e)&&(e<0&&(e*=-1),r&&(e=t.round(e,Ae(e,r))),n=1+Math.floor(1e-12+Math.log(e)/Math.LN10),n=Math.max(-24,Math.min(24,3*Math.floor((n-1)/3)))),Se[8+n/3]};var Ce=/(?:([^{])?([<>=^]))?([+\- ])?([$#])?(0)?(\d+)?(,)?(\.-?\d+)?([a-z%])?/i,Le=t.map({b:function(t){return t.toString(2)},c:function(t){return String.fromCharCode(t)},o:function(t){return t.toString(8)},x:function(t){return t.toString(16)},X:function(t){return t.toString(16).toUpperCase()},g:function(t,e){return t.toPrecision(e)},e:function(t,e){return t.toExponential(e)},f:function(t,e){return t.toFixed(e)},r:function(e,r){return(e=t.round(e,Ae(e,r))).toFixed(Math.max(0,Math.min(20,Ae(e*(1+1e-15),r))))}});function Pe(t){return t+""}var Ie=t.time={},ze=Date;function Oe(){this._=new Date(arguments.length>1?Date.UTC.apply(this,arguments):arguments[0])}Oe.prototype={getDate:function(){return this._.getUTCDate()},getDay:function(){return this._.getUTCDay()},getFullYear:function(){return this._.getUTCFullYear()},getHours:function(){return this._.getUTCHours()},getMilliseconds:function(){return this._.getUTCMilliseconds()},getMinutes:function(){return this._.getUTCMinutes()},getMonth:function(){return this._.getUTCMonth()},getSeconds:function(){return this._.getUTCSeconds()},getTime:function(){return this._.getTime()},getTimezoneOffset:function(){return 0},valueOf:function(){return this._.valueOf()},setDate:function(){De.setUTCDate.apply(this._,arguments)},setDay:function(){De.setUTCDay.apply(this._,arguments)},setFullYear:function(){De.setUTCFullYear.apply(this._,arguments)},setHours:function(){De.setUTCHours.apply(this._,arguments)},setMilliseconds:function(){De.setUTCMilliseconds.apply(this._,arguments)},setMinutes:function(){De.setUTCMinutes.apply(this._,arguments)},setMonth:function(){De.setUTCMonth.apply(this._,arguments)},setSeconds:function(){De.setUTCSeconds.apply(this._,arguments)},setTime:function(){De.setTime.apply(this._,arguments)}};var De=Date.prototype;function Re(t,e,r){function n(e){var r=t(e),n=a(r,1);return e-r<n-e?r:n}function i(r){return e(r=t(new ze(r-1)),1),r}function a(t,r){return e(t=new ze(+t),r),t}function o(t,n,a){var o=i(t),s=[];if(a>1)for(;o<n;)r(o)%a||s.push(new Date(+o)),e(o,1);else for(;o<n;)s.push(new Date(+o)),e(o,1);return s}t.floor=t,t.round=n,t.ceil=i,t.offset=a,t.range=o;var s=t.utc=Fe(t);return s.floor=s,s.round=Fe(n),s.ceil=Fe(i),s.offset=Fe(a),s.range=function(t,e,r){try{ze=Oe;var n=new Oe;return n._=t,o(n,e,r)}finally{ze=Date}},t}function Fe(t){return function(e,r){try{ze=Oe;var n=new Oe;return n._=e,t(n,r)._}finally{ze=Date}}}function Be(e){var r=e.dateTime,n=e.date,i=e.time,a=e.periods,o=e.days,s=e.shortDays,l=e.months,c=e.shortMonths;function u(t){var e=t.length;function r(r){for(var n,i,a,o=[],s=-1,l=0;++s<e;)37===t.charCodeAt(s)&&(o.push(t.slice(l,s)),null!=(i=Ne[n=t.charAt(++s)])&&(n=t.charAt(++s)),(a=_[n])&&(n=a(r,null==i?"e"===n?" ":"0":i)),o.push(n),l=s+1);return o.push(t.slice(l,s)),o.join("")}return r.parse=function(e){var r={y:1900,m:0,d:1,H:0,M:0,S:0,L:0,Z:null};if(h(r,t,e,0)!=e.length)return null;"p"in r&&(r.H=r.H%12+12*r.p);var n=null!=r.Z&&ze!==Oe,i=new(n?Oe:ze);return"j"in r?i.setFullYear(r.y,0,r.j):"W"in r||"U"in r?("w"in r||(r.w="W"in r?1:0),i.setFullYear(r.y,0,1),i.setFullYear(r.y,0,"W"in r?(r.w+6)%7+7*r.W-(i.getDay()+5)%7:r.w+7*r.U-(i.getDay()+6)%7)):i.setFullYear(r.y,r.m,r.d),i.setHours(r.H+(r.Z/100|0),r.M+r.Z%100,r.S,r.L),n?i._:i},r.toString=function(){return t},r}function h(t,e,r,n){for(var i,a,o,s=0,l=e.length,c=r.length;s<l;){if(n>=c)return-1;if(37===(i=e.charCodeAt(s++))){if(o=e.charAt(s++),!(a=w[o in Ne?e.charAt(s++):o])||(n=a(t,r,n))<0)return-1}else if(i!=r.charCodeAt(n++))return-1}return n}u.utc=function(t){var e=u(t);function r(t){try{var r=new(ze=Oe);return r._=t,e(r)}finally{ze=Date}}return r.parse=function(t){try{ze=Oe;var r=e.parse(t);return r&&r._}finally{ze=Date}},r.toString=e.toString,r},u.multi=u.utc.multi=or;var f=t.map(),p=qe(o),d=He(o),g=qe(s),m=He(s),v=qe(l),y=He(l),x=qe(c),b=He(c);a.forEach((function(t,e){f.set(t.toLowerCase(),e)}));var _={a:function(t){return s[t.getDay()]},A:function(t){return o[t.getDay()]},b:function(t){return c[t.getMonth()]},B:function(t){return l[t.getMonth()]},c:u(r),d:function(t,e){return Ve(t.getDate(),e,2)},e:function(t,e){return Ve(t.getDate(),e,2)},H:function(t,e){return Ve(t.getHours(),e,2)},I:function(t,e){return Ve(t.getHours()%12||12,e,2)},j:function(t,e){return Ve(1+Ie.dayOfYear(t),e,3)},L:function(t,e){return Ve(t.getMilliseconds(),e,3)},m:function(t,e){return Ve(t.getMonth()+1,e,2)},M:function(t,e){return Ve(t.getMinutes(),e,2)},p:function(t){return a[+(t.getHours()>=12)]},S:function(t,e){return Ve(t.getSeconds(),e,2)},U:function(t,e){return Ve(Ie.sundayOfYear(t),e,2)},w:function(t){return t.getDay()},W:function(t,e){return Ve(Ie.mondayOfYear(t),e,2)},x:u(n),X:u(i),y:function(t,e){return Ve(t.getFullYear()%100,e,2)},Y:function(t,e){return Ve(t.getFullYear()%1e4,e,4)},Z:ir,"%":function(){return"%"}},w={a:function(t,e,r){g.lastIndex=0;var n=g.exec(e.slice(r));return n?(t.w=m.get(n[0].toLowerCase()),r+n[0].length):-1},A:function(t,e,r){p.lastIndex=0;var n=p.exec(e.slice(r));return n?(t.w=d.get(n[0].toLowerCase()),r+n[0].length):-1},b:function(t,e,r){x.lastIndex=0;var n=x.exec(e.slice(r));return n?(t.m=b.get(n[0].toLowerCase()),r+n[0].length):-1},B:function(t,e,r){v.lastIndex=0;var n=v.exec(e.slice(r));return n?(t.m=y.get(n[0].toLowerCase()),r+n[0].length):-1},c:function(t,e,r){return h(t,_.c.toString(),e,r)},d:Qe,e:Qe,H:tr,I:tr,j:$e,L:nr,m:Ke,M:er,p:function(t,e,r){var n=f.get(e.slice(r,r+=2).toLowerCase());return null==n?-1:(t.p=n,r)},S:rr,U:Ye,w:Ge,W:We,x:function(t,e,r){return h(t,_.x.toString(),e,r)},X:function(t,e,r){return h(t,_.X.toString(),e,r)},y:Xe,Y:Ze,Z:Je,"%":ar};return u}Ie.year=Re((function(t){return(t=Ie.day(t)).setMonth(0,1),t}),(function(t,e){t.setFullYear(t.getFullYear()+e)}),(function(t){return t.getFullYear()})),Ie.years=Ie.year.range,Ie.years.utc=Ie.year.utc.range,Ie.day=Re((function(t){var e=new ze(2e3,0);return e.setFullYear(t.getFullYear(),t.getMonth(),t.getDate()),e}),(function(t,e){t.setDate(t.getDate()+e)}),(function(t){return t.getDate()-1})),Ie.days=Ie.day.range,Ie.days.utc=Ie.day.utc.range,Ie.dayOfYear=function(t){var e=Ie.year(t);return Math.floor((t-e-6e4*(t.getTimezoneOffset()-e.getTimezoneOffset()))/864e5)},["sunday","monday","tuesday","wednesday","thursday","friday","saturday"].forEach((function(t,e){e=7-e;var r=Ie[t]=Re((function(t){return(t=Ie.day(t)).setDate(t.getDate()-(t.getDay()+e)%7),t}),(function(t,e){t.setDate(t.getDate()+7*Math.floor(e))}),(function(t){var r=Ie.year(t).getDay();return Math.floor((Ie.dayOfYear(t)+(r+e)%7)/7)-(r!==e)}));Ie[t+"s"]=r.range,Ie[t+"s"].utc=r.utc.range,Ie[t+"OfYear"]=function(t){var r=Ie.year(t).getDay();return Math.floor((Ie.dayOfYear(t)+(r+e)%7)/7)}})),Ie.week=Ie.sunday,Ie.weeks=Ie.sunday.range,Ie.weeks.utc=Ie.sunday.utc.range,Ie.weekOfYear=Ie.sundayOfYear;var Ne={"-":"",_:" ",0:"0"},je=/^\s*\d+/,Ue=/^%/;function Ve(t,e,r){var n=t<0?"-":"",i=(n?-t:t)+"",a=i.length;return n+(a<r?new Array(r-a+1).join(e)+i:i)}function qe(e){return new RegExp("^(?:"+e.map(t.requote).join("|")+")","i")}function He(t){for(var e=new _,r=-1,n=t.length;++r<n;)e.set(t[r].toLowerCase(),r);return e}function Ge(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+1));return n?(t.w=+n[0],r+n[0].length):-1}function Ye(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r));return n?(t.U=+n[0],r+n[0].length):-1}function We(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r));return n?(t.W=+n[0],r+n[0].length):-1}function Ze(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+4));return n?(t.y=+n[0],r+n[0].length):-1}function Xe(t,e,r){je.lastIndex=0;var n,i=je.exec(e.slice(r,r+2));return i?(t.y=(n=+i[0])+(n>68?1900:2e3),r+i[0].length):-1}function Je(t,e,r){return/^[+-]\d{4}$/.test(e=e.slice(r,r+5))?(t.Z=-e,r+5):-1}function Ke(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.m=n[0]-1,r+n[0].length):-1}function Qe(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.d=+n[0],r+n[0].length):-1}function $e(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+3));return n?(t.j=+n[0],r+n[0].length):-1}function tr(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.H=+n[0],r+n[0].length):-1}function er(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.M=+n[0],r+n[0].length):-1}function rr(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+2));return n?(t.S=+n[0],r+n[0].length):-1}function nr(t,e,r){je.lastIndex=0;var n=je.exec(e.slice(r,r+3));return n?(t.L=+n[0],r+n[0].length):-1}function ir(t){var e=t.getTimezoneOffset(),r=e>0?"-":"+",n=y(e)/60|0,i=y(e)%60;return r+Ve(n,"0",2)+Ve(i,"0",2)}function ar(t,e,r){Ue.lastIndex=0;var n=Ue.exec(e.slice(r,r+1));return n?r+n[0].length:-1}function or(t){for(var e=t.length,r=-1;++r<e;)t[r][0]=this(t[r][0]);return function(e){for(var r=0,n=t[r];!n[1](e);)n=t[++r];return n[0](e)}}t.locale=function(t){return{numberFormat:Ee(t),timeFormat:Be(t)}};var sr=t.locale({decimal:".",thousands:",",grouping:[3],currency:["$",""],dateTime:"%a %b %e %X %Y",date:"%m/%d/%Y",time:"%H:%M:%S",periods:["AM","PM"],days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]});function lr(){}t.format=sr.numberFormat,t.geo={},lr.prototype={s:0,t:0,add:function(t){ur(t,this.t,cr),ur(cr.s,this.s,this),this.s?this.t+=cr.t:this.s=cr.t},reset:function(){this.s=this.t=0},valueOf:function(){return this.s}};var cr=new lr;function ur(t,e,r){var n=r.s=t+e,i=n-t,a=n-i;r.t=t-a+(e-i)}function hr(t,e){t&&pr.hasOwnProperty(t.type)&&pr[t.type](t,e)}t.geo.stream=function(t,e){t&&fr.hasOwnProperty(t.type)?fr[t.type](t,e):hr(t,e)};var fr={Feature:function(t,e){hr(t.geometry,e)},FeatureCollection:function(t,e){for(var r=t.features,n=-1,i=r.length;++n<i;)hr(r[n].geometry,e)}},pr={Sphere:function(t,e){e.sphere()},Point:function(t,e){t=t.coordinates,e.point(t[0],t[1],t[2])},MultiPoint:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)t=r[n],e.point(t[0],t[1],t[2])},LineString:function(t,e){dr(t.coordinates,e,0)},MultiLineString:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)dr(r[n],e,0)},Polygon:function(t,e){gr(t.coordinates,e)},MultiPolygon:function(t,e){for(var r=t.coordinates,n=-1,i=r.length;++n<i;)gr(r[n],e)},GeometryCollection:function(t,e){for(var r=t.geometries,n=-1,i=r.length;++n<i;)hr(r[n],e)}};function dr(t,e,r){var n,i=-1,a=t.length-r;for(e.lineStart();++i<a;)n=t[i],e.point(n[0],n[1],n[2]);e.lineEnd()}function gr(t,e){var r=-1,n=t.length;for(e.polygonStart();++r<n;)dr(t[r],e,1);e.polygonEnd()}t.geo.area=function(e){return mr=0,t.geo.stream(e,Cr),mr};var mr,vr,yr,xr,br,_r,wr,Tr,kr,Mr,Ar,Sr,Er=new lr,Cr={sphere:function(){mr+=4*At},point:O,lineStart:O,lineEnd:O,polygonStart:function(){Er.reset(),Cr.lineStart=Lr},polygonEnd:function(){var t=2*Er;mr+=t<0?4*At+t:t,Cr.lineStart=Cr.lineEnd=Cr.point=O}};function Lr(){var t,e,r,n,i;function a(t,e){e=e*Lt/2+At/4;var a=(t*=Lt)-r,o=a>=0?1:-1,s=o*a,l=Math.cos(e),c=Math.sin(e),u=i*c,h=n*l+u*Math.cos(s),f=u*o*Math.sin(s);Er.add(Math.atan2(f,h)),r=t,n=l,i=c}Cr.point=function(o,s){Cr.point=a,r=(t=o)*Lt,n=Math.cos(s=(e=s)*Lt/2+At/4),i=Math.sin(s)},Cr.lineEnd=function(){a(t,e)}}function Pr(t){var e=t[0],r=t[1],n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}function Ir(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]}function zr(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}function Or(t,e){t[0]+=e[0],t[1]+=e[1],t[2]+=e[2]}function Dr(t,e){return[t[0]*e,t[1]*e,t[2]*e]}function Rr(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]+t[2]*t[2]);t[0]/=e,t[1]/=e,t[2]/=e}function Fr(t){return[Math.atan2(t[1],t[0]),Dt(t[2])]}function Br(t,e){return y(t[0]-e[0])<kt&&y(t[1]-e[1])<kt}t.geo.bounds=function(){var e,r,n,i,a,o,s,l,c,u,h,f={point:p,lineStart:g,lineEnd:m,polygonStart:function(){f.point=v,f.lineStart=x,f.lineEnd=b,c=0,Cr.polygonStart()},polygonEnd:function(){Cr.polygonEnd(),f.point=p,f.lineStart=g,f.lineEnd=m,Er<0?(e=-(n=180),r=-(i=90)):c>kt?i=90:c<-kt&&(r=-90),h[0]=e,h[1]=n}};function p(t,a){u.push(h=[e=t,n=t]),a<r&&(r=a),a>i&&(i=a)}function d(t,o){var s=Pr([t*Lt,o*Lt]);if(l){var c=zr(l,s),u=zr([c[1],-c[0],0],c);Rr(u),u=Fr(u);var h=t-a,f=h>0?1:-1,d=u[0]*Pt*f,g=y(h)>180;if(g^(f*a<d&&d<f*t))(m=u[1]*Pt)>i&&(i=m);else if(g^(f*a<(d=(d+360)%360-180)&&d<f*t)){var m;(m=-u[1]*Pt)<r&&(r=m)}else o<r&&(r=o),o>i&&(i=o);g?t<a?_(e,t)>_(e,n)&&(n=t):_(t,n)>_(e,n)&&(e=t):n>=e?(t<e&&(e=t),t>n&&(n=t)):t>a?_(e,t)>_(e,n)&&(n=t):_(t,n)>_(e,n)&&(e=t)}else p(t,o);l=s,a=t}function g(){f.point=d}function m(){h[0]=e,h[1]=n,f.point=p,l=null}function v(t,e){if(l){var r=t-a;c+=y(r)>180?r+(r>0?360:-360):r}else o=t,s=e;Cr.point(t,e),d(t,e)}function x(){Cr.lineStart()}function b(){v(o,s),Cr.lineEnd(),y(c)>kt&&(e=-(n=180)),h[0]=e,h[1]=n,l=null}function _(t,e){return(e-=t)<0?e+360:e}function w(t,e){return t[0]-e[0]}function T(t,e){return e[0]<=e[1]?e[0]<=t&&t<=e[1]:t<e[0]||e[1]<t}return function(a){if(i=n=-(e=r=1/0),u=[],t.geo.stream(a,f),c=u.length){u.sort(w);for(var o=1,s=[g=u[0]];o<c;++o)T((p=u[o])[0],g)||T(p[1],g)?(_(g[0],p[1])>_(g[0],g[1])&&(g[1]=p[1]),_(p[0],g[1])>_(g[0],g[1])&&(g[0]=p[0])):s.push(g=p);for(var l,c,p,d=-1/0,g=(o=0,s[c=s.length-1]);o<=c;g=p,++o)p=s[o],(l=_(g[1],p[0]))>d&&(d=l,e=p[0],n=g[1])}return u=h=null,e===1/0||r===1/0?[[NaN,NaN],[NaN,NaN]]:[[e,r],[n,i]]}}(),t.geo.centroid=function(e){vr=yr=xr=br=_r=wr=Tr=kr=Mr=Ar=Sr=0,t.geo.stream(e,Nr);var r=Mr,n=Ar,i=Sr,a=r*r+n*n+i*i;return a<Mt&&(r=wr,n=Tr,i=kr,yr<kt&&(r=xr,n=br,i=_r),(a=r*r+n*n+i*i)<Mt)?[NaN,NaN]:[Math.atan2(n,r)*Pt,Dt(i/Math.sqrt(a))*Pt]};var Nr={sphere:O,point:jr,lineStart:Vr,lineEnd:qr,polygonStart:function(){Nr.lineStart=Hr},polygonEnd:function(){Nr.lineStart=Vr}};function jr(t,e){t*=Lt;var r=Math.cos(e*=Lt);Ur(r*Math.cos(t),r*Math.sin(t),Math.sin(e))}function Ur(t,e,r){++vr,xr+=(t-xr)/vr,br+=(e-br)/vr,_r+=(r-_r)/vr}function Vr(){var t,e,r;function n(n,i){n*=Lt;var a=Math.cos(i*=Lt),o=a*Math.cos(n),s=a*Math.sin(n),l=Math.sin(i),c=Math.atan2(Math.sqrt((c=e*l-r*s)*c+(c=r*o-t*l)*c+(c=t*s-e*o)*c),t*o+e*s+r*l);yr+=c,wr+=c*(t+(t=o)),Tr+=c*(e+(e=s)),kr+=c*(r+(r=l)),Ur(t,e,r)}Nr.point=function(i,a){i*=Lt;var o=Math.cos(a*=Lt);t=o*Math.cos(i),e=o*Math.sin(i),r=Math.sin(a),Nr.point=n,Ur(t,e,r)}}function qr(){Nr.point=jr}function Hr(){var t,e,r,n,i;function a(t,e){t*=Lt;var a=Math.cos(e*=Lt),o=a*Math.cos(t),s=a*Math.sin(t),l=Math.sin(e),c=n*l-i*s,u=i*o-r*l,h=r*s-n*o,f=Math.sqrt(c*c+u*u+h*h),p=r*o+n*s+i*l,d=f&&-Ot(p)/f,g=Math.atan2(f,p);Mr+=d*c,Ar+=d*u,Sr+=d*h,yr+=g,wr+=g*(r+(r=o)),Tr+=g*(n+(n=s)),kr+=g*(i+(i=l)),Ur(r,n,i)}Nr.point=function(o,s){t=o,e=s,Nr.point=a,o*=Lt;var l=Math.cos(s*=Lt);r=l*Math.cos(o),n=l*Math.sin(o),i=Math.sin(s),Ur(r,n,i)},Nr.lineEnd=function(){a(t,e),Nr.lineEnd=qr,Nr.point=jr}}function Gr(t,e){function r(r,n){return r=t(r,n),e(r[0],r[1])}return t.invert&&e.invert&&(r.invert=function(r,n){return(r=e.invert(r,n))&&t.invert(r[0],r[1])}),r}function Yr(){return!0}function Wr(t,e,r,n,i){var a=[],o=[];if(t.forEach((function(t){if(!((e=t.length-1)<=0)){var e,r=t[0],n=t[e];if(Br(r,n)){i.lineStart();for(var s=0;s<e;++s)i.point((r=t[s])[0],r[1]);i.lineEnd()}else{var l=new Xr(r,t,null,!0),c=new Xr(r,null,l,!1);l.o=c,a.push(l),o.push(c),l=new Xr(n,t,null,!1),c=new Xr(n,null,l,!0),l.o=c,a.push(l),o.push(c)}}})),o.sort(e),Zr(a),Zr(o),a.length){for(var s=0,l=r,c=o.length;s<c;++s)o[s].e=l=!l;for(var u,h,f=a[0];;){for(var p=f,d=!0;p.v;)if((p=p.n)===f)return;u=p.z,i.lineStart();do{if(p.v=p.o.v=!0,p.e){if(d)for(s=0,c=u.length;s<c;++s)i.point((h=u[s])[0],h[1]);else n(p.x,p.n.x,1,i);p=p.n}else{if(d)for(s=(u=p.p.z).length-1;s>=0;--s)i.point((h=u[s])[0],h[1]);else n(p.x,p.p.x,-1,i);p=p.p}u=(p=p.o).z,d=!d}while(!p.v);i.lineEnd()}}}function Zr(t){if(e=t.length){for(var e,r,n=0,i=t[0];++n<e;)i.n=r=t[n],r.p=i,i=r;i.n=r=t[0],r.p=i}}function Xr(t,e,r,n){this.x=t,this.z=e,this.o=r,this.e=n,this.v=!1,this.n=this.p=null}function Jr(e,r,n,i){return function(a,o){var s,l=r(o),c=a.invert(i[0],i[1]),u={point:h,lineStart:p,lineEnd:d,polygonStart:function(){u.point=b,u.lineStart=_,u.lineEnd=w,s=[],g=[]},polygonEnd:function(){u.point=h,u.lineStart=p,u.lineEnd=d,s=t.merge(s);var e=function(t,e){var r=t[0],n=t[1],i=[Math.sin(r),-Math.cos(r),0],a=0,o=0;Er.reset();for(var s=0,l=e.length;s<l;++s){var c=e[s],u=c.length;if(u)for(var h=c[0],f=h[0],p=h[1]/2+At/4,d=Math.sin(p),g=Math.cos(p),m=1;;){m===u&&(m=0);var v=(t=c[m])[0],y=t[1]/2+At/4,x=Math.sin(y),b=Math.cos(y),_=v-f,w=_>=0?1:-1,T=w*_,k=T>At,M=d*x;if(Er.add(Math.atan2(M*w*Math.sin(T),g*b+M*Math.cos(T))),a+=k?_+w*St:_,k^f>=r^v>=r){var A=zr(Pr(h),Pr(t));Rr(A);var S=zr(i,A);Rr(S);var E=(k^_>=0?-1:1)*Dt(S[2]);(n>E||n===E&&(A[0]||A[1]))&&(o+=k^_>=0?1:-1)}if(!m++)break;f=v,d=x,g=b,h=t}}return(a<-kt||a<kt&&Er<-kt)^1&o}(c,g);s.length?(x||(o.polygonStart(),x=!0),Wr(s,$r,e,n,o)):e&&(x||(o.polygonStart(),x=!0),o.lineStart(),n(null,null,1,o),o.lineEnd()),x&&(o.polygonEnd(),x=!1),s=g=null},sphere:function(){o.polygonStart(),o.lineStart(),n(null,null,1,o),o.lineEnd(),o.polygonEnd()}};function h(t,r){var n=a(t,r);e(t=n[0],r=n[1])&&o.point(t,r)}function f(t,e){var r=a(t,e);l.point(r[0],r[1])}function p(){u.point=f,l.lineStart()}function d(){u.point=h,l.lineEnd()}var g,m,v=Qr(),y=r(v),x=!1;function b(t,e){m.push([t,e]);var r=a(t,e);y.point(r[0],r[1])}function _(){y.lineStart(),m=[]}function w(){b(m[0][0],m[0][1]),y.lineEnd();var t,e=y.clean(),r=v.buffer(),n=r.length;if(m.pop(),g.push(m),m=null,n)if(1&e){var i,a=-1;if((n=(t=r[0]).length-1)>0){for(x||(o.polygonStart(),x=!0),o.lineStart();++a<n;)o.point((i=t[a])[0],i[1]);o.lineEnd()}}else n>1&&2&e&&r.push(r.pop().concat(r.shift())),s.push(r.filter(Kr))}return u}}function Kr(t){return t.length>1}function Qr(){var t,e=[];return{lineStart:function(){e.push(t=[])},point:function(e,r){t.push([e,r])},lineEnd:O,buffer:function(){var r=e;return e=[],t=null,r},rejoin:function(){e.length>1&&e.push(e.pop().concat(e.shift()))}}}function $r(t,e){return((t=t.x)[0]<0?t[1]-Ct-kt:Ct-t[1])-((e=e.x)[0]<0?e[1]-Ct-kt:Ct-e[1])}var tn=Jr(Yr,(function(t){var e,r=NaN,n=NaN,i=NaN;return{lineStart:function(){t.lineStart(),e=1},point:function(a,o){var s=a>0?At:-At,l=y(a-r);y(l-At)<kt?(t.point(r,n=(n+o)/2>0?Ct:-Ct),t.point(i,n),t.lineEnd(),t.lineStart(),t.point(s,n),t.point(a,n),e=0):i!==s&&l>=At&&(y(r-i)<kt&&(r-=i*kt),y(a-s)<kt&&(a-=s*kt),n=function(t,e,r,n){var i,a,o=Math.sin(t-r);return y(o)>kt?Math.atan((Math.sin(e)*(a=Math.cos(n))*Math.sin(r)-Math.sin(n)*(i=Math.cos(e))*Math.sin(t))/(i*a*o)):(e+n)/2}(r,n,a,o),t.point(i,n),t.lineEnd(),t.lineStart(),t.point(s,n),e=0),t.point(r=a,n=o),i=s},lineEnd:function(){t.lineEnd(),r=n=NaN},clean:function(){return 2-e}}}),(function(t,e,r,n){var i;if(null==t)i=r*Ct,n.point(-At,i),n.point(0,i),n.point(At,i),n.point(At,0),n.point(At,-i),n.point(0,-i),n.point(-At,-i),n.point(-At,0),n.point(-At,i);else if(y(t[0]-e[0])>kt){var a=t[0]<e[0]?At:-At;i=r*a/2,n.point(-a,i),n.point(0,i),n.point(a,i)}else n.point(e[0],e[1])}),[-At,-At/2]);function en(t){var e=Math.cos(t),r=e>0,n=y(e)>kt;return Jr(i,(function(t){var e,s,l,c,u;return{lineStart:function(){c=l=!1,u=1},point:function(h,f){var p,d=[h,f],g=i(h,f),m=r?g?0:o(h,f):g?o(h+(h<0?At:-At),f):0;if(!e&&(c=l=g)&&t.lineStart(),g!==l&&(p=a(e,d),(Br(e,p)||Br(d,p))&&(d[0]+=kt,d[1]+=kt,g=i(d[0],d[1]))),g!==l)u=0,g?(t.lineStart(),p=a(d,e),t.point(p[0],p[1])):(p=a(e,d),t.point(p[0],p[1]),t.lineEnd()),e=p;else if(n&&e&&r^g){var v;m&s||!(v=a(d,e,!0))||(u=0,r?(t.lineStart(),t.point(v[0][0],v[0][1]),t.point(v[1][0],v[1][1]),t.lineEnd()):(t.point(v[1][0],v[1][1]),t.lineEnd(),t.lineStart(),t.point(v[0][0],v[0][1])))}!g||e&&Br(e,d)||t.point(d[0],d[1]),e=d,l=g,s=m},lineEnd:function(){l&&t.lineEnd(),e=null},clean:function(){return u|(c&&l)<<1}}}),Bn(t,6*Lt),r?[0,-t]:[-At,t-At]);function i(t,r){return Math.cos(t)*Math.cos(r)>e}function a(t,r,n){var i=[1,0,0],a=zr(Pr(t),Pr(r)),o=Ir(a,a),s=a[0],l=o-s*s;if(!l)return!n&&t;var c=e*o/l,u=-e*s/l,h=zr(i,a),f=Dr(i,c);Or(f,Dr(a,u));var p=h,d=Ir(f,p),g=Ir(p,p),m=d*d-g*(Ir(f,f)-1);if(!(m<0)){var v=Math.sqrt(m),x=Dr(p,(-d-v)/g);if(Or(x,f),x=Fr(x),!n)return x;var b,_=t[0],w=r[0],T=t[1],k=r[1];w<_&&(b=_,_=w,w=b);var M=w-_,A=y(M-At)<kt;if(!A&&k<T&&(b=T,T=k,k=b),A||M<kt?A?T+k>0^x[1]<(y(x[0]-_)<kt?T:k):T<=x[1]&&x[1]<=k:M>At^(_<=x[0]&&x[0]<=w)){var S=Dr(p,(-d+v)/g);return Or(S,f),[x,Fr(S)]}}}function o(e,n){var i=r?t:At-t,a=0;return e<-i?a|=1:e>i&&(a|=2),n<-i?a|=4:n>i&&(a|=8),a}}function rn(t,e,r,n){return function(i){var a,o=i.a,s=i.b,l=o.x,c=o.y,u=0,h=1,f=s.x-l,p=s.y-c;if(a=t-l,f||!(a>0)){if(a/=f,f<0){if(a<u)return;a<h&&(h=a)}else if(f>0){if(a>h)return;a>u&&(u=a)}if(a=r-l,f||!(a<0)){if(a/=f,f<0){if(a>h)return;a>u&&(u=a)}else if(f>0){if(a<u)return;a<h&&(h=a)}if(a=e-c,p||!(a>0)){if(a/=p,p<0){if(a<u)return;a<h&&(h=a)}else if(p>0){if(a>h)return;a>u&&(u=a)}if(a=n-c,p||!(a<0)){if(a/=p,p<0){if(a>h)return;a>u&&(u=a)}else if(p>0){if(a<u)return;a<h&&(h=a)}return u>0&&(i.a={x:l+u*f,y:c+u*p}),h<1&&(i.b={x:l+h*f,y:c+h*p}),i}}}}}}function nn(e,r,n,i){return function(l){var c,u,h,f,p,d,g,m,v,y,x,b=l,_=Qr(),w=rn(e,r,n,i),T={point:A,lineStart:function(){T.point=S,u&&u.push(h=[]);y=!0,v=!1,g=m=NaN},lineEnd:function(){c&&(S(f,p),d&&v&&_.rejoin(),c.push(_.buffer()));T.point=A,v&&l.lineEnd()},polygonStart:function(){l=_,c=[],u=[],x=!0},polygonEnd:function(){l=b,c=t.merge(c);var r=function(t){for(var e=0,r=u.length,n=t[1],i=0;i<r;++i)for(var a,o=1,s=u[i],l=s.length,c=s[0];o<l;++o)a=s[o],c[1]<=n?a[1]>n&&zt(c,a,t)>0&&++e:a[1]<=n&&zt(c,a,t)<0&&--e,c=a;return 0!==e}([e,i]),n=x&&r,a=c.length;(n||a)&&(l.polygonStart(),n&&(l.lineStart(),k(null,null,1,l),l.lineEnd()),a&&Wr(c,o,r,k,l),l.polygonEnd()),c=u=h=null}};function k(t,o,l,c){var u=0,h=0;if(null==t||(u=a(t,l))!==(h=a(o,l))||s(t,o)<0^l>0)do{c.point(0===u||3===u?e:n,u>1?i:r)}while((u=(u+l+4)%4)!==h);else c.point(o[0],o[1])}function M(t,a){return e<=t&&t<=n&&r<=a&&a<=i}function A(t,e){M(t,e)&&l.point(t,e)}function S(t,e){var r=M(t=Math.max(-1e9,Math.min(1e9,t)),e=Math.max(-1e9,Math.min(1e9,e)));if(u&&h.push([t,e]),y)f=t,p=e,d=r,y=!1,r&&(l.lineStart(),l.point(t,e));else if(r&&v)l.point(t,e);else{var n={a:{x:g,y:m},b:{x:t,y:e}};w(n)?(v||(l.lineStart(),l.point(n.a.x,n.a.y)),l.point(n.b.x,n.b.y),r||l.lineEnd(),x=!1):r&&(l.lineStart(),l.point(t,e),x=!1)}g=t,m=e,v=r}return T};function a(t,i){return y(t[0]-e)<kt?i>0?0:3:y(t[0]-n)<kt?i>0?2:1:y(t[1]-r)<kt?i>0?1:0:i>0?3:2}function o(t,e){return s(t.x,e.x)}function s(t,e){var r=a(t,1),n=a(e,1);return r!==n?r-n:0===r?e[1]-t[1]:1===r?t[0]-e[0]:2===r?t[1]-e[1]:e[0]-t[0]}}function an(t){var e=0,r=At/3,n=Ln(t),i=n(e,r);return i.parallels=function(t){return arguments.length?n(e=t[0]*At/180,r=t[1]*At/180):[e/At*180,r/At*180]},i}function on(t,e){var r=Math.sin(t),n=(r+Math.sin(e))/2,i=1+r*(2*n-r),a=Math.sqrt(i)/n;function o(t,e){var r=Math.sqrt(i-2*n*Math.sin(e))/n;return[r*Math.sin(t*=n),a-r*Math.cos(t)]}return o.invert=function(t,e){var r=a-e;return[Math.atan2(t,r)/n,Dt((i-(t*t+r*r)*n*n)/(2*n))]},o}t.geo.clipExtent=function(){var t,e,r,n,i,a,o={stream:function(t){return i&&(i.valid=!1),(i=a(t)).valid=!0,i},extent:function(s){return arguments.length?(a=nn(t=+s[0][0],e=+s[0][1],r=+s[1][0],n=+s[1][1]),i&&(i.valid=!1,i=null),o):[[t,e],[r,n]]}};return o.extent([[0,0],[960,500]])},(t.geo.conicEqualArea=function(){return an(on)}).raw=on,t.geo.albers=function(){return t.geo.conicEqualArea().rotate([96,0]).center([-.6,38.7]).parallels([29.5,45.5]).scale(1070)},t.geo.albersUsa=function(){var e,r,n,i,a=t.geo.albers(),o=t.geo.conicEqualArea().rotate([154,0]).center([-2,58.5]).parallels([55,65]),s=t.geo.conicEqualArea().rotate([157,0]).center([-3,19.9]).parallels([8,18]),l={point:function(t,r){e=[t,r]}};function c(t){var a=t[0],o=t[1];return e=null,r(a,o),e||(n(a,o),e)||i(a,o),e}return c.invert=function(t){var e=a.scale(),r=a.translate(),n=(t[0]-r[0])/e,i=(t[1]-r[1])/e;return(i>=.12&&i<.234&&n>=-.425&&n<-.214?o:i>=.166&&i<.234&&n>=-.214&&n<-.115?s:a).invert(t)},c.stream=function(t){var e=a.stream(t),r=o.stream(t),n=s.stream(t);return{point:function(t,i){e.point(t,i),r.point(t,i),n.point(t,i)},sphere:function(){e.sphere(),r.sphere(),n.sphere()},lineStart:function(){e.lineStart(),r.lineStart(),n.lineStart()},lineEnd:function(){e.lineEnd(),r.lineEnd(),n.lineEnd()},polygonStart:function(){e.polygonStart(),r.polygonStart(),n.polygonStart()},polygonEnd:function(){e.polygonEnd(),r.polygonEnd(),n.polygonEnd()}}},c.precision=function(t){return arguments.length?(a.precision(t),o.precision(t),s.precision(t),c):a.precision()},c.scale=function(t){return arguments.length?(a.scale(t),o.scale(.35*t),s.scale(t),c.translate(a.translate())):a.scale()},c.translate=function(t){if(!arguments.length)return a.translate();var e=a.scale(),u=+t[0],h=+t[1];return r=a.translate(t).clipExtent([[u-.455*e,h-.238*e],[u+.455*e,h+.238*e]]).stream(l).point,n=o.translate([u-.307*e,h+.201*e]).clipExtent([[u-.425*e+kt,h+.12*e+kt],[u-.214*e-kt,h+.234*e-kt]]).stream(l).point,i=s.translate([u-.205*e,h+.212*e]).clipExtent([[u-.214*e+kt,h+.166*e+kt],[u-.115*e-kt,h+.234*e-kt]]).stream(l).point,c},c.scale(1070)};var sn,ln,cn,un,hn,fn,pn={point:O,lineStart:O,lineEnd:O,polygonStart:function(){ln=0,pn.lineStart=dn},polygonEnd:function(){pn.lineStart=pn.lineEnd=pn.point=O,sn+=y(ln/2)}};function dn(){var t,e,r,n;function i(t,e){ln+=n*t-r*e,r=t,n=e}pn.point=function(a,o){pn.point=i,t=r=a,e=n=o},pn.lineEnd=function(){i(t,e)}}var gn={point:function(t,e){t<cn&&(cn=t);t>hn&&(hn=t);e<un&&(un=e);e>fn&&(fn=e)},lineStart:O,lineEnd:O,polygonStart:O,polygonEnd:O};function mn(){var t=vn(4.5),e=[],r={point:n,lineStart:function(){r.point=i},lineEnd:o,polygonStart:function(){r.lineEnd=s},polygonEnd:function(){r.lineEnd=o,r.point=n},pointRadius:function(e){return t=vn(e),r},result:function(){if(e.length){var t=e.join("");return e=[],t}}};function n(r,n){e.push("M",r,",",n,t)}function i(t,n){e.push("M",t,",",n),r.point=a}function a(t,r){e.push("L",t,",",r)}function o(){r.point=n}function s(){e.push("Z")}return r}function vn(t){return"m0,"+t+"a"+t+","+t+" 0 1,1 0,"+-2*t+"a"+t+","+t+" 0 1,1 0,"+2*t+"z"}var yn,xn={point:bn,lineStart:_n,lineEnd:wn,polygonStart:function(){xn.lineStart=Tn},polygonEnd:function(){xn.point=bn,xn.lineStart=_n,xn.lineEnd=wn}};function bn(t,e){xr+=t,br+=e,++_r}function _n(){var t,e;function r(r,n){var i=r-t,a=n-e,o=Math.sqrt(i*i+a*a);wr+=o*(t+r)/2,Tr+=o*(e+n)/2,kr+=o,bn(t=r,e=n)}xn.point=function(n,i){xn.point=r,bn(t=n,e=i)}}function wn(){xn.point=bn}function Tn(){var t,e,r,n;function i(t,e){var i=t-r,a=e-n,o=Math.sqrt(i*i+a*a);wr+=o*(r+t)/2,Tr+=o*(n+e)/2,kr+=o,Mr+=(o=n*t-r*e)*(r+t),Ar+=o*(n+e),Sr+=3*o,bn(r=t,n=e)}xn.point=function(a,o){xn.point=i,bn(t=r=a,e=n=o)},xn.lineEnd=function(){i(t,e)}}function kn(t){var e=4.5,r={point:n,lineStart:function(){r.point=i},lineEnd:o,polygonStart:function(){r.lineEnd=s},polygonEnd:function(){r.lineEnd=o,r.point=n},pointRadius:function(t){return e=t,r},result:O};function n(r,n){t.moveTo(r+e,n),t.arc(r,n,e,0,St)}function i(e,n){t.moveTo(e,n),r.point=a}function a(e,r){t.lineTo(e,r)}function o(){r.point=n}function s(){t.closePath()}return r}function Mn(t){var e=.5,r=Math.cos(30*Lt),n=16;function i(t){return(n?o:a)(t)}function a(e){return En(e,(function(r,n){r=t(r,n),e.point(r[0],r[1])}))}function o(e){var r,i,a,o,l,c,u,h,f,p,d,g,m={point:v,lineStart:y,lineEnd:b,polygonStart:function(){e.polygonStart(),m.lineStart=_},polygonEnd:function(){e.polygonEnd(),m.lineStart=y}};function v(r,n){r=t(r,n),e.point(r[0],r[1])}function y(){h=NaN,m.point=x,e.lineStart()}function x(r,i){var a=Pr([r,i]),o=t(r,i);s(h,f,u,p,d,g,h=o[0],f=o[1],u=r,p=a[0],d=a[1],g=a[2],n,e),e.point(h,f)}function b(){m.point=v,e.lineEnd()}function _(){y(),m.point=w,m.lineEnd=T}function w(t,e){x(r=t,e),i=h,a=f,o=p,l=d,c=g,m.point=x}function T(){s(h,f,u,p,d,g,i,a,r,o,l,c,n,e),m.lineEnd=b,b()}return m}function s(n,i,a,o,l,c,u,h,f,p,d,g,m,v){var x=u-n,b=h-i,_=x*x+b*b;if(_>4*e&&m--){var w=o+p,T=l+d,k=c+g,M=Math.sqrt(w*w+T*T+k*k),A=Math.asin(k/=M),S=y(y(k)-1)<kt||y(a-f)<kt?(a+f)/2:Math.atan2(T,w),E=t(S,A),C=E[0],L=E[1],P=C-n,I=L-i,z=b*P-x*I;(z*z/_>e||y((x*P+b*I)/_-.5)>.3||o*p+l*d+c*g<r)&&(s(n,i,a,o,l,c,C,L,S,w/=M,T/=M,k,m,v),v.point(C,L),s(C,L,S,w,T,k,u,h,f,p,d,g,m,v))}}return i.precision=function(t){return arguments.length?(n=(e=t*t)>0&&16,i):Math.sqrt(e)},i}function An(t){var e=Mn((function(e,r){return t([e*Pt,r*Pt])}));return function(t){return Pn(e(t))}}function Sn(t){this.stream=t}function En(t,e){return{point:e,sphere:function(){t.sphere()},lineStart:function(){t.lineStart()},lineEnd:function(){t.lineEnd()},polygonStart:function(){t.polygonStart()},polygonEnd:function(){t.polygonEnd()}}}function Cn(t){return Ln((function(){return t}))()}function Ln(e){var r,n,i,a,o,s,l=Mn((function(t,e){return[(t=r(t,e))[0]*c+a,o-t[1]*c]})),c=150,u=480,h=250,f=0,p=0,d=0,g=0,m=0,v=tn,y=L,x=null,b=null;function _(t){return[(t=i(t[0]*Lt,t[1]*Lt))[0]*c+a,o-t[1]*c]}function w(t){return(t=i.invert((t[0]-a)/c,(o-t[1])/c))&&[t[0]*Pt,t[1]*Pt]}function T(){i=Gr(n=On(d,g,m),r);var t=r(f,p);return a=u-t[0]*c,o=h+t[1]*c,k()}function k(){return s&&(s.valid=!1,s=null),_}return _.stream=function(t){return s&&(s.valid=!1),(s=Pn(v(n,l(y(t))))).valid=!0,s},_.clipAngle=function(t){return arguments.length?(v=null==t?(x=t,tn):en((x=+t)*Lt),k()):x},_.clipExtent=function(t){return arguments.length?(b=t,y=t?nn(t[0][0],t[0][1],t[1][0],t[1][1]):L,k()):b},_.scale=function(t){return arguments.length?(c=+t,T()):c},_.translate=function(t){return arguments.length?(u=+t[0],h=+t[1],T()):[u,h]},_.center=function(t){return arguments.length?(f=t[0]%360*Lt,p=t[1]%360*Lt,T()):[f*Pt,p*Pt]},_.rotate=function(t){return arguments.length?(d=t[0]%360*Lt,g=t[1]%360*Lt,m=t.length>2?t[2]%360*Lt:0,T()):[d*Pt,g*Pt,m*Pt]},t.rebind(_,l,"precision"),function(){return r=e.apply(this,arguments),_.invert=r.invert&&w,T()}}function Pn(t){return En(t,(function(e,r){t.point(e*Lt,r*Lt)}))}function In(t,e){return[t,e]}function zn(t,e){return[t>At?t-St:t<-At?t+St:t,e]}function On(t,e,r){return t?e||r?Gr(Rn(t),Fn(e,r)):Rn(t):e||r?Fn(e,r):zn}function Dn(t){return function(e,r){return[(e+=t)>At?e-St:e<-At?e+St:e,r]}}function Rn(t){var e=Dn(t);return e.invert=Dn(-t),e}function Fn(t,e){var r=Math.cos(t),n=Math.sin(t),i=Math.cos(e),a=Math.sin(e);function o(t,e){var o=Math.cos(e),s=Math.cos(t)*o,l=Math.sin(t)*o,c=Math.sin(e),u=c*r+s*n;return[Math.atan2(l*i-u*a,s*r-c*n),Dt(u*i+l*a)]}return o.invert=function(t,e){var o=Math.cos(e),s=Math.cos(t)*o,l=Math.sin(t)*o,c=Math.sin(e),u=c*i-l*a;return[Math.atan2(l*i+c*a,s*r+u*n),Dt(u*r-s*n)]},o}function Bn(t,e){var r=Math.cos(t),n=Math.sin(t);return function(i,a,o,s){var l=o*e;null!=i?(i=Nn(r,i),a=Nn(r,a),(o>0?i<a:i>a)&&(i+=o*St)):(i=t+o*St,a=t-.5*l);for(var c,u=i;o>0?u>a:u<a;u-=l)s.point((c=Fr([r,-n*Math.cos(u),-n*Math.sin(u)]))[0],c[1])}}function Nn(t,e){var r=Pr(e);r[0]-=t,Rr(r);var n=Ot(-r[1]);return((-r[2]<0?-n:n)+2*Math.PI-kt)%(2*Math.PI)}function jn(e,r,n){var i=t.range(e,r-kt,n).concat(r);return function(t){return i.map((function(e){return[t,e]}))}}function Un(e,r,n){var i=t.range(e,r-kt,n).concat(r);return function(t){return i.map((function(e){return[e,t]}))}}function Vn(t){return t.source}function qn(t){return t.target}t.geo.path=function(){var e,r,n,i,a,o=4.5;function s(e){return e&&("function"==typeof o&&i.pointRadius(+o.apply(this,arguments)),a&&a.valid||(a=n(i)),t.geo.stream(e,a)),i.result()}function l(){return a=null,s}return s.area=function(e){return sn=0,t.geo.stream(e,n(pn)),sn},s.centroid=function(e){return xr=br=_r=wr=Tr=kr=Mr=Ar=Sr=0,t.geo.stream(e,n(xn)),Sr?[Mr/Sr,Ar/Sr]:kr?[wr/kr,Tr/kr]:_r?[xr/_r,br/_r]:[NaN,NaN]},s.bounds=function(e){return hn=fn=-(cn=un=1/0),t.geo.stream(e,n(gn)),[[cn,un],[hn,fn]]},s.projection=function(t){return arguments.length?(n=(e=t)?t.stream||An(t):L,l()):e},s.context=function(t){return arguments.length?(i=null==(r=t)?new mn:new kn(t),"function"!=typeof o&&i.pointRadius(o),l()):r},s.pointRadius=function(t){return arguments.length?(o="function"==typeof t?t:(i.pointRadius(+t),+t),s):o},s.projection(t.geo.albersUsa()).context(null)},t.geo.transform=function(t){return{stream:function(e){var r=new Sn(e);for(var n in t)r[n]=t[n];return r}}},Sn.prototype={point:function(t,e){this.stream.point(t,e)},sphere:function(){this.stream.sphere()},lineStart:function(){this.stream.lineStart()},lineEnd:function(){this.stream.lineEnd()},polygonStart:function(){this.stream.polygonStart()},polygonEnd:function(){this.stream.polygonEnd()}},t.geo.projection=Cn,t.geo.projectionMutator=Ln,(t.geo.equirectangular=function(){return Cn(In)}).raw=In.invert=In,t.geo.rotation=function(t){function e(e){return(e=t(e[0]*Lt,e[1]*Lt))[0]*=Pt,e[1]*=Pt,e}return t=On(t[0]%360*Lt,t[1]*Lt,t.length>2?t[2]*Lt:0),e.invert=function(e){return(e=t.invert(e[0]*Lt,e[1]*Lt))[0]*=Pt,e[1]*=Pt,e},e},zn.invert=In,t.geo.circle=function(){var t,e,r=[0,0],n=6;function i(){var t="function"==typeof r?r.apply(this,arguments):r,n=On(-t[0]*Lt,-t[1]*Lt,0).invert,i=[];return e(null,null,1,{point:function(t,e){i.push(t=n(t,e)),t[0]*=Pt,t[1]*=Pt}}),{type:"Polygon",coordinates:[i]}}return i.origin=function(t){return arguments.length?(r=t,i):r},i.angle=function(r){return arguments.length?(e=Bn((t=+r)*Lt,n*Lt),i):t},i.precision=function(r){return arguments.length?(e=Bn(t*Lt,(n=+r)*Lt),i):n},i.angle(90)},t.geo.distance=function(t,e){var r,n=(e[0]-t[0])*Lt,i=t[1]*Lt,a=e[1]*Lt,o=Math.sin(n),s=Math.cos(n),l=Math.sin(i),c=Math.cos(i),u=Math.sin(a),h=Math.cos(a);return Math.atan2(Math.sqrt((r=h*o)*r+(r=c*u-l*h*s)*r),l*u+c*h*s)},t.geo.graticule=function(){var e,r,n,i,a,o,s,l,c,u,h,f,p=10,d=p,g=90,m=360,v=2.5;function x(){return{type:"MultiLineString",coordinates:b()}}function b(){return t.range(Math.ceil(i/g)*g,n,g).map(h).concat(t.range(Math.ceil(l/m)*m,s,m).map(f)).concat(t.range(Math.ceil(r/p)*p,e,p).filter((function(t){return y(t%g)>kt})).map(c)).concat(t.range(Math.ceil(o/d)*d,a,d).filter((function(t){return y(t%m)>kt})).map(u))}return x.lines=function(){return b().map((function(t){return{type:"LineString",coordinates:t}}))},x.outline=function(){return{type:"Polygon",coordinates:[h(i).concat(f(s).slice(1),h(n).reverse().slice(1),f(l).reverse().slice(1))]}},x.extent=function(t){return arguments.length?x.majorExtent(t).minorExtent(t):x.minorExtent()},x.majorExtent=function(t){return arguments.length?(i=+t[0][0],n=+t[1][0],l=+t[0][1],s=+t[1][1],i>n&&(t=i,i=n,n=t),l>s&&(t=l,l=s,s=t),x.precision(v)):[[i,l],[n,s]]},x.minorExtent=function(t){return arguments.length?(r=+t[0][0],e=+t[1][0],o=+t[0][1],a=+t[1][1],r>e&&(t=r,r=e,e=t),o>a&&(t=o,o=a,a=t),x.precision(v)):[[r,o],[e,a]]},x.step=function(t){return arguments.length?x.majorStep(t).minorStep(t):x.minorStep()},x.majorStep=function(t){return arguments.length?(g=+t[0],m=+t[1],x):[g,m]},x.minorStep=function(t){return arguments.length?(p=+t[0],d=+t[1],x):[p,d]},x.precision=function(t){return arguments.length?(v=+t,c=jn(o,a,90),u=Un(r,e,v),h=jn(l,s,90),f=Un(i,n,v),x):v},x.majorExtent([[-180,-90+kt],[180,90-kt]]).minorExtent([[-180,-80-kt],[180,80+kt]])},t.geo.greatArc=function(){var e,r,n=Vn,i=qn;function a(){return{type:"LineString",coordinates:[e||n.apply(this,arguments),r||i.apply(this,arguments)]}}return a.distance=function(){return t.geo.distance(e||n.apply(this,arguments),r||i.apply(this,arguments))},a.source=function(t){return arguments.length?(n=t,e="function"==typeof t?null:t,a):n},a.target=function(t){return arguments.length?(i=t,r="function"==typeof t?null:t,a):i},a.precision=function(){return arguments.length?a:0},a},t.geo.interpolate=function(t,e){return r=t[0]*Lt,n=t[1]*Lt,i=e[0]*Lt,a=e[1]*Lt,o=Math.cos(n),s=Math.sin(n),l=Math.cos(a),c=Math.sin(a),u=o*Math.cos(r),h=o*Math.sin(r),f=l*Math.cos(i),p=l*Math.sin(i),d=2*Math.asin(Math.sqrt(Ft(a-n)+o*l*Ft(i-r))),g=1/Math.sin(d),(m=d?function(t){var e=Math.sin(t*=d)*g,r=Math.sin(d-t)*g,n=r*u+e*f,i=r*h+e*p,a=r*s+e*c;return[Math.atan2(i,n)*Pt,Math.atan2(a,Math.sqrt(n*n+i*i))*Pt]}:function(){return[r*Pt,n*Pt]}).distance=d,m;var r,n,i,a,o,s,l,c,u,h,f,p,d,g,m},t.geo.length=function(e){return yn=0,t.geo.stream(e,Hn),yn};var Hn={sphere:O,point:O,lineStart:function(){var t,e,r;function n(n,i){var a=Math.sin(i*=Lt),o=Math.cos(i),s=y((n*=Lt)-t),l=Math.cos(s);yn+=Math.atan2(Math.sqrt((s=o*Math.sin(s))*s+(s=r*a-e*o*l)*s),e*a+r*o*l),t=n,e=a,r=o}Hn.point=function(i,a){t=i*Lt,e=Math.sin(a*=Lt),r=Math.cos(a),Hn.point=n},Hn.lineEnd=function(){Hn.point=Hn.lineEnd=O}},lineEnd:O,polygonStart:O,polygonEnd:O};function Gn(t,e){function r(e,r){var n=Math.cos(e),i=Math.cos(r),a=t(n*i);return[a*i*Math.sin(e),a*Math.sin(r)]}return r.invert=function(t,r){var n=Math.sqrt(t*t+r*r),i=e(n),a=Math.sin(i),o=Math.cos(i);return[Math.atan2(t*a,n*o),Math.asin(n&&r*a/n)]},r}var Yn=Gn((function(t){return Math.sqrt(2/(1+t))}),(function(t){return 2*Math.asin(t/2)}));(t.geo.azimuthalEqualArea=function(){return Cn(Yn)}).raw=Yn;var Wn=Gn((function(t){var e=Math.acos(t);return e&&e/Math.sin(e)}),L);function Zn(t,e){var r=Math.cos(t),n=function(t){return Math.tan(At/4+t/2)},i=t===e?Math.sin(t):Math.log(r/Math.cos(e))/Math.log(n(e)/n(t)),a=r*Math.pow(n(t),i)/i;if(!i)return Kn;function o(t,e){a>0?e<-Ct+kt&&(e=-Ct+kt):e>Ct-kt&&(e=Ct-kt);var r=a/Math.pow(n(e),i);return[r*Math.sin(i*t),a-r*Math.cos(i*t)]}return o.invert=function(t,e){var r=a-e,n=It(i)*Math.sqrt(t*t+r*r);return[Math.atan2(t,r)/i,2*Math.atan(Math.pow(a/n,1/i))-Ct]},o}function Xn(t,e){var r=Math.cos(t),n=t===e?Math.sin(t):(r-Math.cos(e))/(e-t),i=r/n+t;if(y(n)<kt)return In;function a(t,e){var r=i-e;return[r*Math.sin(n*t),i-r*Math.cos(n*t)]}return a.invert=function(t,e){var r=i-e;return[Math.atan2(t,r)/n,i-It(n)*Math.sqrt(t*t+r*r)]},a}(t.geo.azimuthalEquidistant=function(){return Cn(Wn)}).raw=Wn,(t.geo.conicConformal=function(){return an(Zn)}).raw=Zn,(t.geo.conicEquidistant=function(){return an(Xn)}).raw=Xn;var Jn=Gn((function(t){return 1/t}),Math.atan);function Kn(t,e){return[t,Math.log(Math.tan(At/4+e/2))]}function Qn(t){var e,r=Cn(t),n=r.scale,i=r.translate,a=r.clipExtent;return r.scale=function(){var t=n.apply(r,arguments);return t===r?e?r.clipExtent(null):r:t},r.translate=function(){var t=i.apply(r,arguments);return t===r?e?r.clipExtent(null):r:t},r.clipExtent=function(t){var o=a.apply(r,arguments);if(o===r){if(e=null==t){var s=At*n(),l=i();a([[l[0]-s,l[1]-s],[l[0]+s,l[1]+s]])}}else e&&(o=null);return o},r.clipExtent(null)}(t.geo.gnomonic=function(){return Cn(Jn)}).raw=Jn,Kn.invert=function(t,e){return[t,2*Math.atan(Math.exp(e))-Ct]},(t.geo.mercator=function(){return Qn(Kn)}).raw=Kn;var $n=Gn((function(){return 1}),Math.asin);(t.geo.orthographic=function(){return Cn($n)}).raw=$n;var ti=Gn((function(t){return 1/(1+t)}),(function(t){return 2*Math.atan(t)}));function ei(t,e){return[Math.log(Math.tan(At/4+e/2)),-t]}function ri(t){return t[0]}function ni(t){return t[1]}function ii(t){for(var e=t.length,r=[0,1],n=2,i=2;i<e;i++){for(;n>1&&zt(t[r[n-2]],t[r[n-1]],t[i])<=0;)--n;r[n++]=i}return r.slice(0,n)}function ai(t,e){return t[0]-e[0]||t[1]-e[1]}(t.geo.stereographic=function(){return Cn(ti)}).raw=ti,ei.invert=function(t,e){return[-e,2*Math.atan(Math.exp(t))-Ct]},(t.geo.transverseMercator=function(){var t=Qn(ei),e=t.center,r=t.rotate;return t.center=function(t){return t?e([-t[1],t[0]]):[(t=e())[1],-t[0]]},t.rotate=function(t){return t?r([t[0],t[1],t.length>2?t[2]+90:90]):[(t=r())[0],t[1],t[2]-90]},r([0,0,90])}).raw=ei,t.geom={},t.geom.hull=function(t){var e=ri,r=ni;if(arguments.length)return n(t);function n(t){if(t.length<3)return[];var n,i=de(e),a=de(r),o=t.length,s=[],l=[];for(n=0;n<o;n++)s.push([+i.call(this,t[n],n),+a.call(this,t[n],n),n]);for(s.sort(ai),n=0;n<o;n++)l.push([s[n][0],-s[n][1]]);var c=ii(s),u=ii(l),h=u[0]===c[0],f=u[u.length-1]===c[c.length-1],p=[];for(n=c.length-1;n>=0;--n)p.push(t[s[c[n]][2]]);for(n=+h;n<u.length-f;++n)p.push(t[s[u[n]][2]]);return p}return n.x=function(t){return arguments.length?(e=t,n):e},n.y=function(t){return arguments.length?(r=t,n):r},n},t.geom.polygon=function(t){return U(t,oi),t};var oi=t.geom.polygon.prototype=[];function si(t,e,r){return(r[0]-e[0])*(t[1]-e[1])<(r[1]-e[1])*(t[0]-e[0])}function li(t,e,r,n){var i=t[0],a=r[0],o=e[0]-i,s=n[0]-a,l=t[1],c=r[1],u=e[1]-l,h=n[1]-c,f=(s*(l-c)-h*(i-a))/(h*o-s*u);return[i+f*o,l+f*u]}function ci(t){var e=t[0],r=t[t.length-1];return!(e[0]-r[0]||e[1]-r[1])}oi.area=function(){for(var t,e=-1,r=this.length,n=this[r-1],i=0;++e<r;)t=n,n=this[e],i+=t[1]*n[0]-t[0]*n[1];return.5*i},oi.centroid=function(t){var e,r,n=-1,i=this.length,a=0,o=0,s=this[i-1];for(arguments.length||(t=-1/(6*this.area()));++n<i;)e=s,s=this[n],r=e[0]*s[1]-s[0]*e[1],a+=(e[0]+s[0])*r,o+=(e[1]+s[1])*r;return[a*t,o*t]},oi.clip=function(t){for(var e,r,n,i,a,o,s=ci(t),l=-1,c=this.length-ci(this),u=this[c-1];++l<c;){for(e=t.slice(),t.length=0,i=this[l],a=e[(n=e.length-s)-1],r=-1;++r<n;)si(o=e[r],u,i)?(si(a,u,i)||t.push(li(a,o,u,i)),t.push(o)):si(a,u,i)&&t.push(li(a,o,u,i)),a=o;s&&t.push(t[0]),u=i}return t};var ui,hi,fi,pi,di,gi=[],mi=[];function vi(){Ri(this),this.edge=this.site=this.circle=null}function yi(t){var e=gi.pop()||new vi;return e.site=t,e}function xi(t){Ei(t),fi.remove(t),gi.push(t),Ri(t)}function bi(t){var e=t.circle,r=e.x,n=e.cy,i={x:r,y:n},a=t.P,o=t.N,s=[t];xi(t);for(var l=a;l.circle&&y(r-l.circle.x)<kt&&y(n-l.circle.cy)<kt;)a=l.P,s.unshift(l),xi(l),l=a;s.unshift(l),Ei(l);for(var c=o;c.circle&&y(r-c.circle.x)<kt&&y(n-c.circle.cy)<kt;)o=c.N,s.push(c),xi(c),c=o;s.push(c),Ei(c);var u,h=s.length;for(u=1;u<h;++u)c=s[u],l=s[u-1],zi(c.edge,l.site,c.site,i);l=s[0],(c=s[h-1]).edge=Pi(l.site,c.site,null,i),Si(l),Si(c)}function _i(t){for(var e,r,n,i,a=t.x,o=t.y,s=fi._;s;)if((n=wi(s,o)-a)>kt)s=s.L;else{if(!((i=a-Ti(s,o))>kt)){n>-kt?(e=s.P,r=s):i>-kt?(e=s,r=s.N):e=r=s;break}if(!s.R){e=s;break}s=s.R}var l=yi(t);if(fi.insert(e,l),e||r){if(e===r)return Ei(e),r=yi(e.site),fi.insert(l,r),l.edge=r.edge=Pi(e.site,l.site),Si(e),void Si(r);if(r){Ei(e),Ei(r);var c=e.site,u=c.x,h=c.y,f=t.x-u,p=t.y-h,d=r.site,g=d.x-u,m=d.y-h,v=2*(f*m-p*g),y=f*f+p*p,x=g*g+m*m,b={x:(m*y-p*x)/v+u,y:(f*x-g*y)/v+h};zi(r.edge,c,d,b),l.edge=Pi(c,t,null,b),r.edge=Pi(t,d,null,b),Si(e),Si(r)}else l.edge=Pi(e.site,l.site)}}function wi(t,e){var r=t.site,n=r.x,i=r.y,a=i-e;if(!a)return n;var o=t.P;if(!o)return-1/0;var s=(r=o.site).x,l=r.y,c=l-e;if(!c)return s;var u=s-n,h=1/a-1/c,f=u/c;return h?(-f+Math.sqrt(f*f-2*h*(u*u/(-2*c)-l+c/2+i-a/2)))/h+n:(n+s)/2}function Ti(t,e){var r=t.N;if(r)return wi(r,e);var n=t.site;return n.y===e?n.x:1/0}function ki(t){this.site=t,this.edges=[]}function Mi(t,e){return e.angle-t.angle}function Ai(){Ri(this),this.x=this.y=this.arc=this.site=this.cy=null}function Si(t){var e=t.P,r=t.N;if(e&&r){var n=e.site,i=t.site,a=r.site;if(n!==a){var o=i.x,s=i.y,l=n.x-o,c=n.y-s,u=a.x-o,h=2*(l*(m=a.y-s)-c*u);if(!(h>=-Mt)){var f=l*l+c*c,p=u*u+m*m,d=(m*f-c*p)/h,g=(l*p-u*f)/h,m=g+s,v=mi.pop()||new Ai;v.arc=t,v.site=i,v.x=d+o,v.y=m+Math.sqrt(d*d+g*g),v.cy=m,t.circle=v;for(var y=null,x=di._;x;)if(v.y<x.y||v.y===x.y&&v.x<=x.x){if(!x.L){y=x.P;break}x=x.L}else{if(!x.R){y=x;break}x=x.R}di.insert(y,v),y||(pi=v)}}}}function Ei(t){var e=t.circle;e&&(e.P||(pi=e.N),di.remove(e),mi.push(e),Ri(e),t.circle=null)}function Ci(t,e){var r=t.b;if(r)return!0;var n,i,a=t.a,o=e[0][0],s=e[1][0],l=e[0][1],c=e[1][1],u=t.l,h=t.r,f=u.x,p=u.y,d=h.x,g=h.y,m=(f+d)/2,v=(p+g)/2;if(g===p){if(m<o||m>=s)return;if(f>d){if(a){if(a.y>=c)return}else a={x:m,y:l};r={x:m,y:c}}else{if(a){if(a.y<l)return}else a={x:m,y:c};r={x:m,y:l}}}else if(i=v-(n=(f-d)/(g-p))*m,n<-1||n>1)if(f>d){if(a){if(a.y>=c)return}else a={x:(l-i)/n,y:l};r={x:(c-i)/n,y:c}}else{if(a){if(a.y<l)return}else a={x:(c-i)/n,y:c};r={x:(l-i)/n,y:l}}else if(p<g){if(a){if(a.x>=s)return}else a={x:o,y:n*o+i};r={x:s,y:n*s+i}}else{if(a){if(a.x<o)return}else a={x:s,y:n*s+i};r={x:o,y:n*o+i}}return t.a=a,t.b=r,!0}function Li(t,e){this.l=t,this.r=e,this.a=this.b=null}function Pi(t,e,r,n){var i=new Li(t,e);return ui.push(i),r&&zi(i,t,e,r),n&&zi(i,e,t,n),hi[t.i].edges.push(new Oi(i,t,e)),hi[e.i].edges.push(new Oi(i,e,t)),i}function Ii(t,e,r){var n=new Li(t,null);return n.a=e,n.b=r,ui.push(n),n}function zi(t,e,r,n){t.a||t.b?t.l===r?t.b=n:t.a=n:(t.a=n,t.l=e,t.r=r)}function Oi(t,e,r){var n=t.a,i=t.b;this.edge=t,this.site=e,this.angle=r?Math.atan2(r.y-e.y,r.x-e.x):t.l===e?Math.atan2(i.x-n.x,n.y-i.y):Math.atan2(n.x-i.x,i.y-n.y)}function Di(){this._=null}function Ri(t){t.U=t.C=t.L=t.R=t.P=t.N=null}function Fi(t,e){var r=e,n=e.R,i=r.U;i?i.L===r?i.L=n:i.R=n:t._=n,n.U=i,r.U=n,r.R=n.L,r.R&&(r.R.U=r),n.L=r}function Bi(t,e){var r=e,n=e.L,i=r.U;i?i.L===r?i.L=n:i.R=n:t._=n,n.U=i,r.U=n,r.L=n.R,r.L&&(r.L.U=r),n.R=r}function Ni(t){for(;t.L;)t=t.L;return t}function ji(t,e){var r,n,i,a=t.sort(Ui).pop();for(ui=[],hi=new Array(t.length),fi=new Di,di=new Di;;)if(i=pi,a&&(!i||a.y<i.y||a.y===i.y&&a.x<i.x))a.x===r&&a.y===n||(hi[a.i]=new ki(a),_i(a),r=a.x,n=a.y),a=t.pop();else{if(!i)break;bi(i.arc)}e&&(function(t){for(var e,r=ui,n=rn(t[0][0],t[0][1],t[1][0],t[1][1]),i=r.length;i--;)(!Ci(e=r[i],t)||!n(e)||y(e.a.x-e.b.x)<kt&&y(e.a.y-e.b.y)<kt)&&(e.a=e.b=null,r.splice(i,1))}(e),function(t){for(var e,r,n,i,a,o,s,l,c,u,h=t[0][0],f=t[1][0],p=t[0][1],d=t[1][1],g=hi,m=g.length;m--;)if((a=g[m])&&a.prepare())for(l=(s=a.edges).length,o=0;o<l;)n=(u=s[o].end()).x,i=u.y,e=(c=s[++o%l].start()).x,r=c.y,(y(n-e)>kt||y(i-r)>kt)&&(s.splice(o,0,new Oi(Ii(a.site,u,y(n-h)<kt&&d-i>kt?{x:h,y:y(e-h)<kt?r:d}:y(i-d)<kt&&f-n>kt?{x:y(r-d)<kt?e:f,y:d}:y(n-f)<kt&&i-p>kt?{x:f,y:y(e-f)<kt?r:p}:y(i-p)<kt&&n-h>kt?{x:y(r-p)<kt?e:h,y:p}:null),a.site,null)),++l)}(e));var o={cells:hi,edges:ui};return fi=di=ui=hi=null,o}function Ui(t,e){return e.y-t.y||e.x-t.x}ki.prototype.prepare=function(){for(var t,e=this.edges,r=e.length;r--;)(t=e[r].edge).b&&t.a||e.splice(r,1);return e.sort(Mi),e.length},Oi.prototype={start:function(){return this.edge.l===this.site?this.edge.a:this.edge.b},end:function(){return this.edge.l===this.site?this.edge.b:this.edge.a}},Di.prototype={insert:function(t,e){var r,n,i;if(t){if(e.P=t,e.N=t.N,t.N&&(t.N.P=e),t.N=e,t.R){for(t=t.R;t.L;)t=t.L;t.L=e}else t.R=e;r=t}else this._?(t=Ni(this._),e.P=null,e.N=t,t.P=t.L=e,r=t):(e.P=e.N=null,this._=e,r=null);for(e.L=e.R=null,e.U=r,e.C=!0,t=e;r&&r.C;)r===(n=r.U).L?(i=n.R)&&i.C?(r.C=i.C=!1,n.C=!0,t=n):(t===r.R&&(Fi(this,r),r=(t=r).U),r.C=!1,n.C=!0,Bi(this,n)):(i=n.L)&&i.C?(r.C=i.C=!1,n.C=!0,t=n):(t===r.L&&(Bi(this,r),r=(t=r).U),r.C=!1,n.C=!0,Fi(this,n)),r=t.U;this._.C=!1},remove:function(t){t.N&&(t.N.P=t.P),t.P&&(t.P.N=t.N),t.N=t.P=null;var e,r,n,i=t.U,a=t.L,o=t.R;if(r=a?o?Ni(o):a:o,i?i.L===t?i.L=r:i.R=r:this._=r,a&&o?(n=r.C,r.C=t.C,r.L=a,a.U=r,r!==o?(i=r.U,r.U=t.U,t=r.R,i.L=t,r.R=o,o.U=r):(r.U=i,i=r,t=r.R)):(n=t.C,t=r),t&&(t.U=i),!n)if(t&&t.C)t.C=!1;else{do{if(t===this._)break;if(t===i.L){if((e=i.R).C&&(e.C=!1,i.C=!0,Fi(this,i),e=i.R),e.L&&e.L.C||e.R&&e.R.C){e.R&&e.R.C||(e.L.C=!1,e.C=!0,Bi(this,e),e=i.R),e.C=i.C,i.C=e.R.C=!1,Fi(this,i),t=this._;break}}else if((e=i.L).C&&(e.C=!1,i.C=!0,Bi(this,i),e=i.L),e.L&&e.L.C||e.R&&e.R.C){e.L&&e.L.C||(e.R.C=!1,e.C=!0,Fi(this,e),e=i.L),e.C=i.C,i.C=e.L.C=!1,Bi(this,i),t=this._;break}e.C=!0,t=i,i=i.U}while(!t.C);t&&(t.C=!1)}}},t.geom.voronoi=function(t){var e=ri,r=ni,n=e,i=r,a=Vi;if(t)return o(t);function o(t){var e=new Array(t.length),r=a[0][0],n=a[0][1],i=a[1][0],o=a[1][1];return ji(s(t),a).cells.forEach((function(a,s){var l=a.edges,c=a.site;(e[s]=l.length?l.map((function(t){var e=t.start();return[e.x,e.y]})):c.x>=r&&c.x<=i&&c.y>=n&&c.y<=o?[[r,o],[i,o],[i,n],[r,n]]:[]).point=t[s]})),e}function s(t){return t.map((function(t,e){return{x:Math.round(n(t,e)/kt)*kt,y:Math.round(i(t,e)/kt)*kt,i:e}}))}return o.links=function(t){return ji(s(t)).edges.filter((function(t){return t.l&&t.r})).map((function(e){return{source:t[e.l.i],target:t[e.r.i]}}))},o.triangles=function(t){var e=[];return ji(s(t)).cells.forEach((function(r,n){for(var i,a,o,s,l=r.site,c=r.edges.sort(Mi),u=-1,h=c.length,f=c[h-1].edge,p=f.l===l?f.r:f.l;++u<h;)f,i=p,p=(f=c[u].edge).l===l?f.r:f.l,n<i.i&&n<p.i&&(o=i,s=p,((a=l).x-s.x)*(o.y-a.y)-(a.x-o.x)*(s.y-a.y)<0)&&e.push([t[n],t[i.i],t[p.i]])})),e},o.x=function(t){return arguments.length?(n=de(e=t),o):e},o.y=function(t){return arguments.length?(i=de(r=t),o):r},o.clipExtent=function(t){return arguments.length?(a=null==t?Vi:t,o):a===Vi?null:a},o.size=function(t){return arguments.length?o.clipExtent(t&&[[0,0],t]):a===Vi?null:a&&a[1]},o};var Vi=[[-1e6,-1e6],[1e6,1e6]];function qi(t){return t.x}function Hi(t){return t.y}function Gi(t,e,r,n,i,a){if(!t(e,r,n,i,a)){var o=.5*(r+i),s=.5*(n+a),l=e.nodes;l[0]&&Gi(t,l[0],r,n,o,s),l[1]&&Gi(t,l[1],o,n,i,s),l[2]&&Gi(t,l[2],r,s,o,a),l[3]&&Gi(t,l[3],o,s,i,a)}}function Yi(t,e,r,n,i,a,o){var s,l=1/0;return function t(c,u,h,f,p){if(!(u>a||h>o||f<n||p<i)){if(d=c.point){var d,g=e-c.x,m=r-c.y,v=g*g+m*m;if(v<l){var y=Math.sqrt(l=v);n=e-y,i=r-y,a=e+y,o=r+y,s=d}}for(var x=c.nodes,b=.5*(u+f),_=.5*(h+p),w=(r>=_)<<1|e>=b,T=w+4;w<T;++w)if(c=x[3&w])switch(3&w){case 0:t(c,u,h,b,_);break;case 1:t(c,b,h,f,_);break;case 2:t(c,u,_,b,p);break;case 3:t(c,b,_,f,p)}}}(t,n,i,a,o),s}function Wi(e,r){e=t.rgb(e),r=t.rgb(r);var n=e.r,i=e.g,a=e.b,o=r.r-n,s=r.g-i,l=r.b-a;return function(t){return"#"+se(Math.round(n+o*t))+se(Math.round(i+s*t))+se(Math.round(a+l*t))}}function Zi(t,e){var r,n={},i={};for(r in t)r in e?n[r]=$i(t[r],e[r]):i[r]=t[r];for(r in e)r in t||(i[r]=e[r]);return function(t){for(r in n)i[r]=n[r](t);return i}}function Xi(t,e){return t=+t,e=+e,function(r){return t*(1-r)+e*r}}function Ji(t,e){var r,n,i,a=Ki.lastIndex=Qi.lastIndex=0,o=-1,s=[],l=[];for(t+="",e+="";(r=Ki.exec(t))&&(n=Qi.exec(e));)(i=n.index)>a&&(i=e.slice(a,i),s[o]?s[o]+=i:s[++o]=i),(r=r[0])===(n=n[0])?s[o]?s[o]+=n:s[++o]=n:(s[++o]=null,l.push({i:o,x:Xi(r,n)})),a=Qi.lastIndex;return a<e.length&&(i=e.slice(a),s[o]?s[o]+=i:s[++o]=i),s.length<2?l[0]?(e=l[0].x,function(t){return e(t)+""}):function(){return e}:(e=l.length,function(t){for(var r,n=0;n<e;++n)s[(r=l[n]).i]=r.x(t);return s.join("")})}t.geom.delaunay=function(e){return t.geom.voronoi().triangles(e)},t.geom.quadtree=function(t,e,r,n,i){var a,o=ri,s=ni;if(a=arguments.length)return o=qi,s=Hi,3===a&&(i=r,n=e,r=e=0),l(t);function l(t){var l,c,u,h,f,p,d,g,m,v=de(o),x=de(s);if(null!=e)p=e,d=r,g=n,m=i;else if(g=m=-(p=d=1/0),c=[],u=[],f=t.length,a)for(h=0;h<f;++h)(l=t[h]).x<p&&(p=l.x),l.y<d&&(d=l.y),l.x>g&&(g=l.x),l.y>m&&(m=l.y),c.push(l.x),u.push(l.y);else for(h=0;h<f;++h){var b=+v(l=t[h],h),_=+x(l,h);b<p&&(p=b),_<d&&(d=_),b>g&&(g=b),_>m&&(m=_),c.push(b),u.push(_)}var w=g-p,T=m-d;function k(t,e,r,n,i,a,o,s){if(!isNaN(r)&&!isNaN(n))if(t.leaf){var l=t.x,c=t.y;if(null!=l)if(y(l-r)+y(c-n)<.01)M(t,e,r,n,i,a,o,s);else{var u=t.point;t.x=t.y=t.point=null,M(t,u,l,c,i,a,o,s),M(t,e,r,n,i,a,o,s)}else t.x=r,t.y=n,t.point=e}else M(t,e,r,n,i,a,o,s)}function M(t,e,r,n,i,a,o,s){var l=.5*(i+o),c=.5*(a+s),u=r>=l,h=n>=c,f=h<<1|u;t.leaf=!1,u?i=l:o=l,h?a=c:s=c,k(t=t.nodes[f]||(t.nodes[f]={leaf:!0,nodes:[],point:null,x:null,y:null}),e,r,n,i,a,o,s)}w>T?m=d+w:g=p+T;var A={leaf:!0,nodes:[],point:null,x:null,y:null,add:function(t){k(A,t,+v(t,++h),+x(t,h),p,d,g,m)},visit:function(t){Gi(t,A,p,d,g,m)},find:function(t){return Yi(A,t[0],t[1],p,d,g,m)}};if(h=-1,null==e){for(;++h<f;)k(A,t[h],c[h],u[h],p,d,g,m);--h}else t.forEach(A.add);return c=u=t=l=null,A}return l.x=function(t){return arguments.length?(o=t,l):o},l.y=function(t){return arguments.length?(s=t,l):s},l.extent=function(t){return arguments.length?(null==t?e=r=n=i=null:(e=+t[0][0],r=+t[0][1],n=+t[1][0],i=+t[1][1]),l):null==e?null:[[e,r],[n,i]]},l.size=function(t){return arguments.length?(null==t?e=r=n=i=null:(e=r=0,n=+t[0],i=+t[1]),l):null==e?null:[n-e,i-r]},l},t.interpolateRgb=Wi,t.interpolateObject=Zi,t.interpolateNumber=Xi,t.interpolateString=Ji;var Ki=/[-+]?(?:\d+\.?\d*|\.?\d+)(?:[eE][-+]?\d+)?/g,Qi=new RegExp(Ki.source,"g");function $i(e,r){for(var n,i=t.interpolators.length;--i>=0&&!(n=t.interpolators[i](e,r)););return n}function ta(t,e){var r,n=[],i=[],a=t.length,o=e.length,s=Math.min(t.length,e.length);for(r=0;r<s;++r)n.push($i(t[r],e[r]));for(;r<a;++r)i[r]=t[r];for(;r<o;++r)i[r]=e[r];return function(t){for(r=0;r<s;++r)i[r]=n[r](t);return i}}t.interpolate=$i,t.interpolators=[function(t,e){var r=typeof e;return("string"===r?pe.has(e.toLowerCase())||/^(#|rgb\(|hsl\()/i.test(e)?Wi:Ji:e instanceof Vt?Wi:Array.isArray(e)?ta:"object"===r&&isNaN(e)?Zi:Xi)(t,e)}],t.interpolateArray=ta;var ea=function(){return L},ra=t.map({linear:ea,poly:function(t){return function(e){return Math.pow(e,t)}},quad:function(){return sa},cubic:function(){return la},sin:function(){return ua},exp:function(){return ha},circle:function(){return fa},elastic:function(t,e){var r;arguments.length<2&&(e=.45);arguments.length?r=e/St*Math.asin(1/t):(t=1,r=e/4);return function(n){return 1+t*Math.pow(2,-10*n)*Math.sin((n-r)*St/e)}},back:function(t){t||(t=1.70158);return function(e){return e*e*((t+1)*e-t)}},bounce:function(){return pa}}),na=t.map({in:L,out:aa,"in-out":oa,"out-in":function(t){return oa(aa(t))}});function ia(t){return function(e){return e<=0?0:e>=1?1:t(e)}}function aa(t){return function(e){return 1-t(1-e)}}function oa(t){return function(e){return.5*(e<.5?t(2*e):2-t(2-2*e))}}function sa(t){return t*t}function la(t){return t*t*t}function ca(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}function ua(t){return 1-Math.cos(t*Ct)}function ha(t){return Math.pow(2,10*(t-1))}function fa(t){return 1-Math.sqrt(1-t*t)}function pa(t){return t<1/2.75?7.5625*t*t:t<2/2.75?7.5625*(t-=1.5/2.75)*t+.75:t<2.5/2.75?7.5625*(t-=2.25/2.75)*t+.9375:7.5625*(t-=2.625/2.75)*t+.984375}function da(t,e){return e-=t,function(r){return Math.round(t+e*r)}}function ga(t){var e,r,n,i=[t.a,t.b],a=[t.c,t.d],o=va(i),s=ma(i,a),l=va(((e=a)[0]+=(n=-s)*(r=i)[0],e[1]+=n*r[1],e))||0;i[0]*a[1]<a[0]*i[1]&&(i[0]*=-1,i[1]*=-1,o*=-1,s*=-1),this.rotate=(o?Math.atan2(i[1],i[0]):Math.atan2(-a[0],a[1]))*Pt,this.translate=[t.e,t.f],this.scale=[o,l],this.skew=l?Math.atan2(s,l)*Pt:0}function ma(t,e){return t[0]*e[0]+t[1]*e[1]}function va(t){var e=Math.sqrt(ma(t,t));return e&&(t[0]/=e,t[1]/=e),e}t.ease=function(t){var e=t.indexOf("-"),n=e>=0?t.slice(0,e):t,i=e>=0?t.slice(e+1):"in";return n=ra.get(n)||ea,ia((i=na.get(i)||L)(n.apply(null,r.call(arguments,1))))},t.interpolateHcl=function(e,r){e=t.hcl(e),r=t.hcl(r);var n=e.h,i=e.c,a=e.l,o=r.h-n,s=r.c-i,l=r.l-a;isNaN(s)&&(s=0,i=isNaN(i)?r.c:i);isNaN(o)?(o=0,n=isNaN(n)?r.h:n):o>180?o-=360:o<-180&&(o+=360);return function(t){return Zt(n+o*t,i+s*t,a+l*t)+""}},t.interpolateHsl=function(e,r){e=t.hsl(e),r=t.hsl(r);var n=e.h,i=e.s,a=e.l,o=r.h-n,s=r.s-i,l=r.l-a;isNaN(s)&&(s=0,i=isNaN(i)?r.s:i);isNaN(o)?(o=0,n=isNaN(n)?r.h:n):o>180?o-=360:o<-180&&(o+=360);return function(t){return Gt(n+o*t,i+s*t,a+l*t)+""}},t.interpolateLab=function(e,r){e=t.lab(e),r=t.lab(r);var n=e.l,i=e.a,a=e.b,o=r.l-n,s=r.a-i,l=r.b-a;return function(t){return Qt(n+o*t,i+s*t,a+l*t)+""}},t.interpolateRound=da,t.transform=function(e){var r=i.createElementNS(t.ns.prefix.svg,"g");return(t.transform=function(t){if(null!=t){r.setAttribute("transform",t);var e=r.transform.baseVal.consolidate()}return new ga(e?e.matrix:ya)})(e)},ga.prototype.toString=function(){return"translate("+this.translate+")rotate("+this.rotate+")skewX("+this.skew+")scale("+this.scale+")"};var ya={a:1,b:0,c:0,d:1,e:0,f:0};function xa(t){return t.length?t.pop()+",":""}function ba(e,r){var n=[],i=[];return e=t.transform(e),r=t.transform(r),function(t,e,r,n){if(t[0]!==e[0]||t[1]!==e[1]){var i=r.push("translate(",null,",",null,")");n.push({i:i-4,x:Xi(t[0],e[0])},{i:i-2,x:Xi(t[1],e[1])})}else(e[0]||e[1])&&r.push("translate("+e+")")}(e.translate,r.translate,n,i),function(t,e,r,n){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),n.push({i:r.push(xa(r)+"rotate(",null,")")-2,x:Xi(t,e)})):e&&r.push(xa(r)+"rotate("+e+")")}(e.rotate,r.rotate,n,i),function(t,e,r,n){t!==e?n.push({i:r.push(xa(r)+"skewX(",null,")")-2,x:Xi(t,e)}):e&&r.push(xa(r)+"skewX("+e+")")}(e.skew,r.skew,n,i),function(t,e,r,n){if(t[0]!==e[0]||t[1]!==e[1]){var i=r.push(xa(r)+"scale(",null,",",null,")");n.push({i:i-4,x:Xi(t[0],e[0])},{i:i-2,x:Xi(t[1],e[1])})}else 1===e[0]&&1===e[1]||r.push(xa(r)+"scale("+e+")")}(e.scale,r.scale,n,i),e=r=null,function(t){for(var e,r=-1,a=i.length;++r<a;)n[(e=i[r]).i]=e.x(t);return n.join("")}}function _a(t,e){return e=(e-=t=+t)||1/e,function(r){return(r-t)/e}}function wa(t,e){return e=(e-=t=+t)||1/e,function(r){return Math.max(0,Math.min(1,(r-t)/e))}}function Ta(t){for(var e=t.source,r=t.target,n=function(t,e){if(t===e)return t;var r=ka(t),n=ka(e),i=r.pop(),a=n.pop(),o=null;for(;i===a;)o=i,i=r.pop(),a=n.pop();return o}(e,r),i=[e];e!==n;)e=e.parent,i.push(e);for(var a=i.length;r!==n;)i.splice(a,0,r),r=r.parent;return i}function ka(t){for(var e=[],r=t.parent;null!=r;)e.push(t),t=r,r=r.parent;return e.push(t),e}function Ma(t){t.fixed|=2}function Aa(t){t.fixed&=-7}function Sa(t){t.fixed|=4,t.px=t.x,t.py=t.y}function Ea(t){t.fixed&=-5}t.interpolateTransform=ba,t.layout={},t.layout.bundle=function(){return function(t){for(var e=[],r=-1,n=t.length;++r<n;)e.push(Ta(t[r]));return e}},t.layout.chord=function(){var e,r,n,i,a,o,s,l={},c=0;function u(){var l,u,f,p,d,g={},m=[],v=t.range(i),y=[];for(e=[],r=[],l=0,p=-1;++p<i;){for(u=0,d=-1;++d<i;)u+=n[p][d];m.push(u),y.push(t.range(i)),l+=u}for(a&&v.sort((function(t,e){return a(m[t],m[e])})),o&&y.forEach((function(t,e){t.sort((function(t,r){return o(n[e][t],n[e][r])}))})),l=(St-c*i)/l,u=0,p=-1;++p<i;){for(f=u,d=-1;++d<i;){var x=v[p],b=y[x][d],_=n[x][b],w=u,T=u+=_*l;g[x+"-"+b]={index:x,subindex:b,startAngle:w,endAngle:T,value:_}}r[x]={index:x,startAngle:f,endAngle:u,value:m[x]},u+=c}for(p=-1;++p<i;)for(d=p-1;++d<i;){var k=g[p+"-"+d],M=g[d+"-"+p];(k.value||M.value)&&e.push(k.value<M.value?{source:M,target:k}:{source:k,target:M})}s&&h()}function h(){e.sort((function(t,e){return s((t.source.value+t.target.value)/2,(e.source.value+e.target.value)/2)}))}return l.matrix=function(t){return arguments.length?(i=(n=t)&&n.length,e=r=null,l):n},l.padding=function(t){return arguments.length?(c=t,e=r=null,l):c},l.sortGroups=function(t){return arguments.length?(a=t,e=r=null,l):a},l.sortSubgroups=function(t){return arguments.length?(o=t,e=null,l):o},l.sortChords=function(t){return arguments.length?(s=t,e&&h(),l):s},l.chords=function(){return e||u(),e},l.groups=function(){return r||u(),r},l},t.layout.force=function(){var e,r,n,i,a,o,s={},l=t.dispatch("start","tick","end"),c=[1,1],u=.9,h=Ca,f=La,p=-30,d=Pa,g=.1,m=.64,v=[],y=[];function x(t){return function(e,r,n,i){if(e.point!==t){var a=e.cx-t.x,o=e.cy-t.y,s=i-r,l=a*a+o*o;if(s*s/m<l){if(l<d){var c=e.charge/l;t.px-=a*c,t.py-=o*c}return!0}if(e.point&&l&&l<d){c=e.pointCharge/l;t.px-=a*c,t.py-=o*c}}return!e.charge}}function b(e){e.px=t.event.x,e.py=t.event.y,s.resume()}return s.tick=function(){if((n*=.99)<.005)return e=null,l.end({type:"end",alpha:n=0}),!0;var r,s,h,f,d,m,b,_,w,T=v.length,k=y.length;for(s=0;s<k;++s)f=(h=y[s]).source,(m=(_=(d=h.target).x-f.x)*_+(w=d.y-f.y)*w)&&(_*=m=n*a[s]*((m=Math.sqrt(m))-i[s])/m,w*=m,d.x-=_*(b=f.weight+d.weight?f.weight/(f.weight+d.weight):.5),d.y-=w*b,f.x+=_*(b=1-b),f.y+=w*b);if((b=n*g)&&(_=c[0]/2,w=c[1]/2,s=-1,b))for(;++s<T;)(h=v[s]).x+=(_-h.x)*b,h.y+=(w-h.y)*b;if(p)for(!function t(e,r,n){var i=0,a=0;if(e.charge=0,!e.leaf)for(var o,s=e.nodes,l=s.length,c=-1;++c<l;)null!=(o=s[c])&&(t(o,r,n),e.charge+=o.charge,i+=o.charge*o.cx,a+=o.charge*o.cy);if(e.point){e.leaf||(e.point.x+=Math.random()-.5,e.point.y+=Math.random()-.5);var u=r*n[e.point.index];e.charge+=e.pointCharge=u,i+=u*e.point.x,a+=u*e.point.y}e.cx=i/e.charge,e.cy=a/e.charge}(r=t.geom.quadtree(v),n,o),s=-1;++s<T;)(h=v[s]).fixed||r.visit(x(h));for(s=-1;++s<T;)(h=v[s]).fixed?(h.x=h.px,h.y=h.py):(h.x-=(h.px-(h.px=h.x))*u,h.y-=(h.py-(h.py=h.y))*u);l.tick({type:"tick",alpha:n})},s.nodes=function(t){return arguments.length?(v=t,s):v},s.links=function(t){return arguments.length?(y=t,s):y},s.size=function(t){return arguments.length?(c=t,s):c},s.linkDistance=function(t){return arguments.length?(h="function"==typeof t?t:+t,s):h},s.distance=s.linkDistance,s.linkStrength=function(t){return arguments.length?(f="function"==typeof t?t:+t,s):f},s.friction=function(t){return arguments.length?(u=+t,s):u},s.charge=function(t){return arguments.length?(p="function"==typeof t?t:+t,s):p},s.chargeDistance=function(t){return arguments.length?(d=t*t,s):Math.sqrt(d)},s.gravity=function(t){return arguments.length?(g=+t,s):g},s.theta=function(t){return arguments.length?(m=t*t,s):Math.sqrt(m)},s.alpha=function(t){return arguments.length?(t=+t,n?t>0?n=t:(e.c=null,e.t=NaN,e=null,l.end({type:"end",alpha:n=0})):t>0&&(l.start({type:"start",alpha:n=t}),e=we(s.tick)),s):n},s.start=function(){var t,e,r,n=v.length,l=y.length,u=c[0],d=c[1];for(t=0;t<n;++t)(r=v[t]).index=t,r.weight=0;for(t=0;t<l;++t)"number"==typeof(r=y[t]).source&&(r.source=v[r.source]),"number"==typeof r.target&&(r.target=v[r.target]),++r.source.weight,++r.target.weight;for(t=0;t<n;++t)r=v[t],isNaN(r.x)&&(r.x=g("x",u)),isNaN(r.y)&&(r.y=g("y",d)),isNaN(r.px)&&(r.px=r.x),isNaN(r.py)&&(r.py=r.y);if(i=[],"function"==typeof h)for(t=0;t<l;++t)i[t]=+h.call(this,y[t],t);else for(t=0;t<l;++t)i[t]=h;if(a=[],"function"==typeof f)for(t=0;t<l;++t)a[t]=+f.call(this,y[t],t);else for(t=0;t<l;++t)a[t]=f;if(o=[],"function"==typeof p)for(t=0;t<n;++t)o[t]=+p.call(this,v[t],t);else for(t=0;t<n;++t)o[t]=p;function g(r,i){if(!e){for(e=new Array(n),c=0;c<n;++c)e[c]=[];for(c=0;c<l;++c){var a=y[c];e[a.source.index].push(a.target),e[a.target.index].push(a.source)}}for(var o,s=e[t],c=-1,u=s.length;++c<u;)if(!isNaN(o=s[c][r]))return o;return Math.random()*i}return s.resume()},s.resume=function(){return s.alpha(.1)},s.stop=function(){return s.alpha(0)},s.drag=function(){if(r||(r=t.behavior.drag().origin(L).on("dragstart.force",Ma).on("drag.force",b).on("dragend.force",Aa)),!arguments.length)return r;this.on("mouseover.force",Sa).on("mouseout.force",Ea).call(r)},t.rebind(s,l,"on")};var Ca=20,La=1,Pa=1/0;function Ia(e,r){return t.rebind(e,r,"sort","children","value"),e.nodes=e,e.links=Ba,e}function za(t,e){for(var r=[t];null!=(t=r.pop());)if(e(t),(i=t.children)&&(n=i.length))for(var n,i;--n>=0;)r.push(i[n])}function Oa(t,e){for(var r=[t],n=[];null!=(t=r.pop());)if(n.push(t),(a=t.children)&&(i=a.length))for(var i,a,o=-1;++o<i;)r.push(a[o]);for(;null!=(t=n.pop());)e(t)}function Da(t){return t.children}function Ra(t){return t.value}function Fa(t,e){return e.value-t.value}function Ba(e){return t.merge(e.map((function(t){return(t.children||[]).map((function(e){return{source:t,target:e}}))})))}t.layout.hierarchy=function(){var t=Fa,e=Da,r=Ra;function n(i){var a,o=[i],s=[];for(i.depth=0;null!=(a=o.pop());)if(s.push(a),(c=e.call(n,a,a.depth))&&(l=c.length)){for(var l,c,u;--l>=0;)o.push(u=c[l]),u.parent=a,u.depth=a.depth+1;r&&(a.value=0),a.children=c}else r&&(a.value=+r.call(n,a,a.depth)||0),delete a.children;return Oa(i,(function(e){var n,i;t&&(n=e.children)&&n.sort(t),r&&(i=e.parent)&&(i.value+=e.value)})),s}return n.sort=function(e){return arguments.length?(t=e,n):t},n.children=function(t){return arguments.length?(e=t,n):e},n.value=function(t){return arguments.length?(r=t,n):r},n.revalue=function(t){return r&&(za(t,(function(t){t.children&&(t.value=0)})),Oa(t,(function(t){var e;t.children||(t.value=+r.call(n,t,t.depth)||0),(e=t.parent)&&(e.value+=t.value)}))),t},n},t.layout.partition=function(){var e=t.layout.hierarchy(),r=[1,1];function n(t,n){var i=e.call(this,t,n);return function t(e,r,n,i){var a=e.children;if(e.x=r,e.y=e.depth*i,e.dx=n,e.dy=i,a&&(o=a.length)){var o,s,l,c=-1;for(n=e.value?n/e.value:0;++c<o;)t(s=a[c],r,l=s.value*n,i),r+=l}}(i[0],0,r[0],r[1]/function t(e){var r=e.children,n=0;if(r&&(i=r.length))for(var i,a=-1;++a<i;)n=Math.max(n,t(r[a]));return 1+n}(i[0])),i}return n.size=function(t){return arguments.length?(r=t,n):r},Ia(n,e)},t.layout.pie=function(){var e=Number,r=Na,n=0,i=St,a=0;function o(s){var l,c=s.length,u=s.map((function(t,r){return+e.call(o,t,r)})),h=+("function"==typeof n?n.apply(this,arguments):n),f=("function"==typeof i?i.apply(this,arguments):i)-h,p=Math.min(Math.abs(f)/c,+("function"==typeof a?a.apply(this,arguments):a)),d=p*(f<0?-1:1),g=t.sum(u),m=g?(f-c*d)/g:0,v=t.range(c),y=[];return null!=r&&v.sort(r===Na?function(t,e){return u[e]-u[t]}:function(t,e){return r(s[t],s[e])}),v.forEach((function(t){y[t]={data:s[t],value:l=u[t],startAngle:h,endAngle:h+=l*m+d,padAngle:p}})),y}return o.value=function(t){return arguments.length?(e=t,o):e},o.sort=function(t){return arguments.length?(r=t,o):r},o.startAngle=function(t){return arguments.length?(n=t,o):n},o.endAngle=function(t){return arguments.length?(i=t,o):i},o.padAngle=function(t){return arguments.length?(a=t,o):a},o};var Na={};function ja(t){return t.x}function Ua(t){return t.y}function Va(t,e,r){t.y0=e,t.y=r}t.layout.stack=function(){var e=L,r=Ga,n=Ya,i=Va,a=ja,o=Ua;function s(l,c){if(!(p=l.length))return l;var u=l.map((function(t,r){return e.call(s,t,r)})),h=u.map((function(t){return t.map((function(t,e){return[a.call(s,t,e),o.call(s,t,e)]}))})),f=r.call(s,h,c);u=t.permute(u,f),h=t.permute(h,f);var p,d,g,m,v=n.call(s,h,c),y=u[0].length;for(g=0;g<y;++g)for(i.call(s,u[0][g],m=v[g],h[0][g][1]),d=1;d<p;++d)i.call(s,u[d][g],m+=h[d-1][g][1],h[d][g][1]);return l}return s.values=function(t){return arguments.length?(e=t,s):e},s.order=function(t){return arguments.length?(r="function"==typeof t?t:qa.get(t)||Ga,s):r},s.offset=function(t){return arguments.length?(n="function"==typeof t?t:Ha.get(t)||Ya,s):n},s.x=function(t){return arguments.length?(a=t,s):a},s.y=function(t){return arguments.length?(o=t,s):o},s.out=function(t){return arguments.length?(i=t,s):i},s};var qa=t.map({"inside-out":function(e){var r,n,i=e.length,a=e.map(Wa),o=e.map(Za),s=t.range(i).sort((function(t,e){return a[t]-a[e]})),l=0,c=0,u=[],h=[];for(r=0;r<i;++r)n=s[r],l<c?(l+=o[n],u.push(n)):(c+=o[n],h.push(n));return h.reverse().concat(u)},reverse:function(e){return t.range(e.length).reverse()},default:Ga}),Ha=t.map({silhouette:function(t){var e,r,n,i=t.length,a=t[0].length,o=[],s=0,l=[];for(r=0;r<a;++r){for(e=0,n=0;e<i;e++)n+=t[e][r][1];n>s&&(s=n),o.push(n)}for(r=0;r<a;++r)l[r]=(s-o[r])/2;return l},wiggle:function(t){var e,r,n,i,a,o,s,l,c,u=t.length,h=t[0],f=h.length,p=[];for(p[0]=l=c=0,r=1;r<f;++r){for(e=0,i=0;e<u;++e)i+=t[e][r][1];for(e=0,a=0,s=h[r][0]-h[r-1][0];e<u;++e){for(n=0,o=(t[e][r][1]-t[e][r-1][1])/(2*s);n<e;++n)o+=(t[n][r][1]-t[n][r-1][1])/s;a+=o*t[e][r][1]}p[r]=l-=i?a/i*s:0,l<c&&(c=l)}for(r=0;r<f;++r)p[r]-=c;return p},expand:function(t){var e,r,n,i=t.length,a=t[0].length,o=1/i,s=[];for(r=0;r<a;++r){for(e=0,n=0;e<i;e++)n+=t[e][r][1];if(n)for(e=0;e<i;e++)t[e][r][1]/=n;else for(e=0;e<i;e++)t[e][r][1]=o}for(r=0;r<a;++r)s[r]=0;return s},zero:Ya});function Ga(e){return t.range(e.length)}function Ya(t){for(var e=-1,r=t[0].length,n=[];++e<r;)n[e]=0;return n}function Wa(t){for(var e,r=1,n=0,i=t[0][1],a=t.length;r<a;++r)(e=t[r][1])>i&&(n=r,i=e);return n}function Za(t){return t.reduce(Xa,0)}function Xa(t,e){return t+e[1]}function Ja(t,e){return Ka(t,Math.ceil(Math.log(e.length)/Math.LN2+1))}function Ka(t,e){for(var r=-1,n=+t[0],i=(t[1]-n)/e,a=[];++r<=e;)a[r]=i*r+n;return a}function Qa(e){return[t.min(e),t.max(e)]}function $a(t,e){return t.value-e.value}function to(t,e){var r=t._pack_next;t._pack_next=e,e._pack_prev=t,e._pack_next=r,r._pack_prev=e}function eo(t,e){t._pack_next=e,e._pack_prev=t}function ro(t,e){var r=e.x-t.x,n=e.y-t.y,i=t.r+e.r;return.999*i*i>r*r+n*n}function no(t){if((e=t.children)&&(l=e.length)){var e,r,n,i,a,o,s,l,c=1/0,u=-1/0,h=1/0,f=-1/0;if(e.forEach(io),(r=e[0]).x=-r.r,r.y=0,x(r),l>1&&((n=e[1]).x=n.r,n.y=0,x(n),l>2))for(oo(r,n,i=e[2]),x(i),to(r,i),r._pack_prev=i,to(i,n),n=r._pack_next,a=3;a<l;a++){oo(r,n,i=e[a]);var p=0,d=1,g=1;for(o=n._pack_next;o!==n;o=o._pack_next,d++)if(ro(o,i)){p=1;break}if(1==p)for(s=r._pack_prev;s!==o._pack_prev&&!ro(s,i);s=s._pack_prev,g++);p?(d<g||d==g&&n.r<r.r?eo(r,n=o):eo(r=s,n),a--):(to(r,i),n=i,x(i))}var m=(c+u)/2,v=(h+f)/2,y=0;for(a=0;a<l;a++)(i=e[a]).x-=m,i.y-=v,y=Math.max(y,i.r+Math.sqrt(i.x*i.x+i.y*i.y));t.r=y,e.forEach(ao)}function x(t){c=Math.min(t.x-t.r,c),u=Math.max(t.x+t.r,u),h=Math.min(t.y-t.r,h),f=Math.max(t.y+t.r,f)}}function io(t){t._pack_next=t._pack_prev=t}function ao(t){delete t._pack_next,delete t._pack_prev}function oo(t,e,r){var n=t.r+r.r,i=e.x-t.x,a=e.y-t.y;if(n&&(i||a)){var o=e.r+r.r,s=i*i+a*a,l=.5+((n*=n)-(o*=o))/(2*s),c=Math.sqrt(Math.max(0,2*o*(n+s)-(n-=s)*n-o*o))/(2*s);r.x=t.x+l*i+c*a,r.y=t.y+l*a-c*i}else r.x=t.x+n,r.y=t.y}function so(t,e){return t.parent==e.parent?1:2}function lo(t){var e=t.children;return e.length?e[0]:t.t}function co(t){var e,r=t.children;return(e=r.length)?r[e-1]:t.t}function uo(t,e,r){var n=r/(e.i-t.i);e.c-=n,e.s+=r,t.c+=n,e.z+=r,e.m+=r}function ho(t,e,r){return t.a.parent===e.parent?t.a:r}function fo(t){return{x:t.x,y:t.y,dx:t.dx,dy:t.dy}}function po(t,e){var r=t.x+e[3],n=t.y+e[0],i=t.dx-e[1]-e[3],a=t.dy-e[0]-e[2];return i<0&&(r+=i/2,i=0),a<0&&(n+=a/2,a=0),{x:r,y:n,dx:i,dy:a}}function go(t){var e=t[0],r=t[t.length-1];return e<r?[e,r]:[r,e]}function mo(t){return t.rangeExtent?t.rangeExtent():go(t.range())}function vo(t,e,r,n){var i=r(t[0],t[1]),a=n(e[0],e[1]);return function(t){return a(i(t))}}function yo(t,e){var r,n=0,i=t.length-1,a=t[n],o=t[i];return o<a&&(r=n,n=i,i=r,r=a,a=o,o=r),t[n]=e.floor(a),t[i]=e.ceil(o),t}function xo(t){return t?{floor:function(e){return Math.floor(e/t)*t},ceil:function(e){return Math.ceil(e/t)*t}}:bo}t.layout.histogram=function(){var e=!0,r=Number,n=Qa,i=Ja;function a(a,o){for(var s,l,c=[],u=a.map(r,this),h=n.call(this,u,o),f=i.call(this,h,u,o),p=(o=-1,u.length),d=f.length-1,g=e?1:1/p;++o<d;)(s=c[o]=[]).dx=f[o+1]-(s.x=f[o]),s.y=0;if(d>0)for(o=-1;++o<p;)(l=u[o])>=h[0]&&l<=h[1]&&((s=c[t.bisect(f,l,1,d)-1]).y+=g,s.push(a[o]));return c}return a.value=function(t){return arguments.length?(r=t,a):r},a.range=function(t){return arguments.length?(n=de(t),a):n},a.bins=function(t){return arguments.length?(i="number"==typeof t?function(e){return Ka(e,t)}:de(t),a):i},a.frequency=function(t){return arguments.length?(e=!!t,a):e},a},t.layout.pack=function(){var e,r=t.layout.hierarchy().sort($a),n=0,i=[1,1];function a(t,a){var o=r.call(this,t,a),s=o[0],l=i[0],c=i[1],u=null==e?Math.sqrt:"function"==typeof e?e:function(){return e};if(s.x=s.y=0,Oa(s,(function(t){t.r=+u(t.value)})),Oa(s,no),n){var h=n*(e?1:Math.max(2*s.r/l,2*s.r/c))/2;Oa(s,(function(t){t.r+=h})),Oa(s,no),Oa(s,(function(t){t.r-=h}))}return function t(e,r,n,i){var a=e.children;if(e.x=r+=i*e.x,e.y=n+=i*e.y,e.r*=i,a)for(var o=-1,s=a.length;++o<s;)t(a[o],r,n,i)}(s,l/2,c/2,e?1:1/Math.max(2*s.r/l,2*s.r/c)),o}return a.size=function(t){return arguments.length?(i=t,a):i},a.radius=function(t){return arguments.length?(e=null==t||"function"==typeof t?t:+t,a):e},a.padding=function(t){return arguments.length?(n=+t,a):n},Ia(a,r)},t.layout.tree=function(){var e=t.layout.hierarchy().sort(null).value(null),r=so,n=[1,1],i=null;function a(t,a){var c=e.call(this,t,a),u=c[0],h=function(t){var e,r={A:null,children:[t]},n=[r];for(;null!=(e=n.pop());)for(var i,a=e.children,o=0,s=a.length;o<s;++o)n.push((a[o]=i={_:a[o],parent:e,children:(i=a[o].children)&&i.slice()||[],A:null,a:null,z:0,m:0,c:0,s:0,t:null,i:o}).a=i);return r.children[0]}(u);if(Oa(h,o),h.parent.m=-h.z,za(h,s),i)za(u,l);else{var f=u,p=u,d=u;za(u,(function(t){t.x<f.x&&(f=t),t.x>p.x&&(p=t),t.depth>d.depth&&(d=t)}));var g=r(f,p)/2-f.x,m=n[0]/(p.x+r(p,f)/2+g),v=n[1]/(d.depth||1);za(u,(function(t){t.x=(t.x+g)*m,t.y=t.depth*v}))}return c}function o(t){var e=t.children,n=t.parent.children,i=t.i?n[t.i-1]:null;if(e.length){!function(t){var e,r=0,n=0,i=t.children,a=i.length;for(;--a>=0;)(e=i[a]).z+=r,e.m+=r,r+=e.s+(n+=e.c)}(t);var a=(e[0].z+e[e.length-1].z)/2;i?(t.z=i.z+r(t._,i._),t.m=t.z-a):t.z=a}else i&&(t.z=i.z+r(t._,i._));t.parent.A=function(t,e,n){if(e){for(var i,a=t,o=t,s=e,l=a.parent.children[0],c=a.m,u=o.m,h=s.m,f=l.m;s=co(s),a=lo(a),s&&a;)l=lo(l),(o=co(o)).a=t,(i=s.z+h-a.z-c+r(s._,a._))>0&&(uo(ho(s,t,n),t,i),c+=i,u+=i),h+=s.m,c+=a.m,f+=l.m,u+=o.m;s&&!co(o)&&(o.t=s,o.m+=h-u),a&&!lo(l)&&(l.t=a,l.m+=c-f,n=t)}return n}(t,i,t.parent.A||n[0])}function s(t){t._.x=t.z+t.parent.m,t.m+=t.parent.m}function l(t){t.x*=n[0],t.y=t.depth*n[1]}return a.separation=function(t){return arguments.length?(r=t,a):r},a.size=function(t){return arguments.length?(i=null==(n=t)?l:null,a):i?null:n},a.nodeSize=function(t){return arguments.length?(i=null==(n=t)?null:l,a):i?n:null},Ia(a,e)},t.layout.cluster=function(){var e=t.layout.hierarchy().sort(null).value(null),r=so,n=[1,1],i=!1;function a(a,o){var s,l=e.call(this,a,o),c=l[0],u=0;Oa(c,(function(e){var n=e.children;n&&n.length?(e.x=function(t){return t.reduce((function(t,e){return t+e.x}),0)/t.length}(n),e.y=function(e){return 1+t.max(e,(function(t){return t.y}))}(n)):(e.x=s?u+=r(e,s):0,e.y=0,s=e)}));var h=function t(e){var r=e.children;return r&&r.length?t(r[0]):e}(c),f=function t(e){var r,n=e.children;return n&&(r=n.length)?t(n[r-1]):e}(c),p=h.x-r(h,f)/2,d=f.x+r(f,h)/2;return Oa(c,i?function(t){t.x=(t.x-c.x)*n[0],t.y=(c.y-t.y)*n[1]}:function(t){t.x=(t.x-p)/(d-p)*n[0],t.y=(1-(c.y?t.y/c.y:1))*n[1]}),l}return a.separation=function(t){return arguments.length?(r=t,a):r},a.size=function(t){return arguments.length?(i=null==(n=t),a):i?null:n},a.nodeSize=function(t){return arguments.length?(i=null!=(n=t),a):i?n:null},Ia(a,e)},t.layout.treemap=function(){var e,r=t.layout.hierarchy(),n=Math.round,i=[1,1],a=null,o=fo,s=!1,l="squarify",c=.5*(1+Math.sqrt(5));function u(t,e){for(var r,n,i=-1,a=t.length;++i<a;)n=(r=t[i]).value*(e<0?0:e),r.area=isNaN(n)||n<=0?0:n}function h(t){var e=t.children;if(e&&e.length){var r,n,i,a=o(t),s=[],c=e.slice(),f=1/0,g="slice"===l?a.dx:"dice"===l?a.dy:"slice-dice"===l?1&t.depth?a.dy:a.dx:Math.min(a.dx,a.dy);for(u(c,a.dx*a.dy/t.value),s.area=0;(i=c.length)>0;)s.push(r=c[i-1]),s.area+=r.area,"squarify"!==l||(n=p(s,g))<=f?(c.pop(),f=n):(s.area-=s.pop().area,d(s,g,a,!1),g=Math.min(a.dx,a.dy),s.length=s.area=0,f=1/0);s.length&&(d(s,g,a,!0),s.length=s.area=0),e.forEach(h)}}function f(t){var e=t.children;if(e&&e.length){var r,n=o(t),i=e.slice(),a=[];for(u(i,n.dx*n.dy/t.value),a.area=0;r=i.pop();)a.push(r),a.area+=r.area,null!=r.z&&(d(a,r.z?n.dx:n.dy,n,!i.length),a.length=a.area=0);e.forEach(f)}}function p(t,e){for(var r,n=t.area,i=0,a=1/0,o=-1,s=t.length;++o<s;)(r=t[o].area)&&(r<a&&(a=r),r>i&&(i=r));return e*=e,(n*=n)?Math.max(e*i*c/n,n/(e*a*c)):1/0}function d(t,e,r,i){var a,o=-1,s=t.length,l=r.x,c=r.y,u=e?n(t.area/e):0;if(e==r.dx){for((i||u>r.dy)&&(u=r.dy);++o<s;)(a=t[o]).x=l,a.y=c,a.dy=u,l+=a.dx=Math.min(r.x+r.dx-l,u?n(a.area/u):0);a.z=!0,a.dx+=r.x+r.dx-l,r.y+=u,r.dy-=u}else{for((i||u>r.dx)&&(u=r.dx);++o<s;)(a=t[o]).x=l,a.y=c,a.dx=u,c+=a.dy=Math.min(r.y+r.dy-c,u?n(a.area/u):0);a.z=!1,a.dy+=r.y+r.dy-c,r.x+=u,r.dx-=u}}function g(t){var n=e||r(t),a=n[0];return a.x=a.y=0,a.value?(a.dx=i[0],a.dy=i[1]):a.dx=a.dy=0,e&&r.revalue(a),u([a],a.dx*a.dy/a.value),(e?f:h)(a),s&&(e=n),n}return g.size=function(t){return arguments.length?(i=t,g):i},g.padding=function(t){if(!arguments.length)return a;function e(e){var r=t.call(g,e,e.depth);return null==r?fo(e):po(e,"number"==typeof r?[r,r,r,r]:r)}function r(e){return po(e,t)}var n;return o=null==(a=t)?fo:"function"==(n=typeof t)?e:"number"===n?(t=[t,t,t,t],r):r,g},g.round=function(t){return arguments.length?(n=t?Math.round:Number,g):n!=Number},g.sticky=function(t){return arguments.length?(s=t,e=null,g):s},g.ratio=function(t){return arguments.length?(c=t,g):c},g.mode=function(t){return arguments.length?(l=t+"",g):l},Ia(g,r)},t.random={normal:function(t,e){var r=arguments.length;return r<2&&(e=1),r<1&&(t=0),function(){var r,n,i;do{i=(r=2*Math.random()-1)*r+(n=2*Math.random()-1)*n}while(!i||i>1);return t+e*r*Math.sqrt(-2*Math.log(i)/i)}},logNormal:function(){var e=t.random.normal.apply(t,arguments);return function(){return Math.exp(e())}},bates:function(e){var r=t.random.irwinHall(e);return function(){return r()/e}},irwinHall:function(t){return function(){for(var e=0,r=0;r<t;r++)e+=Math.random();return e}}},t.scale={};var bo={floor:L,ceil:L};function _o(e,r,n,i){var a=[],o=[],s=0,l=Math.min(e.length,r.length)-1;for(e[l]<e[0]&&(e=e.slice().reverse(),r=r.slice().reverse());++s<=l;)a.push(n(e[s-1],e[s])),o.push(i(r[s-1],r[s]));return function(r){var n=t.bisect(e,r,1,l)-1;return o[n](a[n](r))}}function wo(e,r){return t.rebind(e,r,"range","rangeRound","interpolate","clamp")}function To(t,e){return yo(t,xo(ko(t,e)[2])),yo(t,xo(ko(t,e)[2])),t}function ko(t,e){null==e&&(e=10);var r=go(t),n=r[1]-r[0],i=Math.pow(10,Math.floor(Math.log(n/e)/Math.LN10)),a=e/n*i;return a<=.15?i*=10:a<=.35?i*=5:a<=.75&&(i*=2),r[0]=Math.ceil(r[0]/i)*i,r[1]=Math.floor(r[1]/i)*i+.5*i,r[2]=i,r}function Mo(e,r){return t.range.apply(t,ko(e,r))}function Ao(e,r,n){var i=ko(e,r);if(n){var a=Ce.exec(n);if(a.shift(),"s"===a[8]){var o=t.formatPrefix(Math.max(y(i[0]),y(i[1])));return a[7]||(a[7]="."+Eo(o.scale(i[2]))),a[8]="f",n=t.format(a.join("")),function(t){return n(o.scale(t))+o.symbol}}a[7]||(a[7]="."+function(t,e){var r=Eo(e[2]);return t in So?Math.abs(r-Eo(Math.max(y(e[0]),y(e[1]))))+ +("e"!==t):r-2*("%"===t)}(a[8],i)),n=a.join("")}else n=",."+Eo(i[2])+"f";return t.format(n)}t.scale.linear=function(){return function t(e,r,n,i){var a,o;function s(){var t=Math.min(e.length,r.length)>2?_o:vo,s=i?wa:_a;return a=t(e,r,s,n),o=t(r,e,s,$i),l}function l(t){return a(t)}return l.invert=function(t){return o(t)},l.domain=function(t){return arguments.length?(e=t.map(Number),s()):e},l.range=function(t){return arguments.length?(r=t,s()):r},l.rangeRound=function(t){return l.range(t).interpolate(da)},l.clamp=function(t){return arguments.length?(i=t,s()):i},l.interpolate=function(t){return arguments.length?(n=t,s()):n},l.ticks=function(t){return Mo(e,t)},l.tickFormat=function(t,r){return Ao(e,t,r)},l.nice=function(t){return To(e,t),s()},l.copy=function(){return t(e,r,n,i)},s()}([0,1],[0,1],$i,!1)};var So={s:1,g:1,p:1,r:1,e:1};function Eo(t){return-Math.floor(Math.log(t)/Math.LN10+.01)}t.scale.log=function(){return function e(r,n,i,a){function o(t){return(i?Math.log(t<0?0:t):-Math.log(t>0?0:-t))/Math.log(n)}function s(t){return i?Math.pow(n,t):-Math.pow(n,-t)}function l(t){return r(o(t))}return l.invert=function(t){return s(r.invert(t))},l.domain=function(t){return arguments.length?(i=t[0]>=0,r.domain((a=t.map(Number)).map(o)),l):a},l.base=function(t){return arguments.length?(n=+t,r.domain(a.map(o)),l):n},l.nice=function(){var t=yo(a.map(o),i?Math:Lo);return r.domain(t),a=t.map(s),l},l.ticks=function(){var t=go(a),e=[],r=t[0],l=t[1],c=Math.floor(o(r)),u=Math.ceil(o(l)),h=n%1?2:n;if(isFinite(u-c)){if(i){for(;c<u;c++)for(var f=1;f<h;f++)e.push(s(c)*f);e.push(s(c))}else for(e.push(s(c));c++<u;)for(f=h-1;f>0;f--)e.push(s(c)*f);for(c=0;e[c]<r;c++);for(u=e.length;e[u-1]>l;u--);e=e.slice(c,u)}return e},l.tickFormat=function(e,r){if(!arguments.length)return Co;arguments.length<2?r=Co:"function"!=typeof r&&(r=t.format(r));var i=Math.max(1,n*e/l.ticks().length);return function(t){var e=t/s(Math.round(o(t)));return e*n<n-.5&&(e*=n),e<=i?r(t):""}},l.copy=function(){return e(r.copy(),n,i,a)},wo(l,r)}(t.scale.linear().domain([0,1]),10,!0,[1,10])};var Co=t.format(".0e"),Lo={floor:function(t){return-Math.ceil(-t)},ceil:function(t){return-Math.floor(-t)}};function Po(t){return function(e){return e<0?-Math.pow(-e,t):Math.pow(e,t)}}t.scale.pow=function(){return function t(e,r,n){var i=Po(r),a=Po(1/r);function o(t){return e(i(t))}return o.invert=function(t){return a(e.invert(t))},o.domain=function(t){return arguments.length?(e.domain((n=t.map(Number)).map(i)),o):n},o.ticks=function(t){return Mo(n,t)},o.tickFormat=function(t,e){return Ao(n,t,e)},o.nice=function(t){return o.domain(To(n,t))},o.exponent=function(t){return arguments.length?(i=Po(r=t),a=Po(1/r),e.domain(n.map(i)),o):r},o.copy=function(){return t(e.copy(),r,n)},wo(o,e)}(t.scale.linear(),1,[0,1])},t.scale.sqrt=function(){return t.scale.pow().exponent(.5)},t.scale.ordinal=function(){return function e(r,n){var i,a,o;function s(t){return a[((i.get(t)||("range"===n.t?i.set(t,r.push(t)):NaN))-1)%a.length]}function l(e,n){return t.range(r.length).map((function(t){return e+n*t}))}return s.domain=function(t){if(!arguments.length)return r;r=[],i=new _;for(var e,a=-1,o=t.length;++a<o;)i.has(e=t[a])||i.set(e,r.push(e));return s[n.t].apply(s,n.a)},s.range=function(t){return arguments.length?(a=t,o=0,n={t:"range",a:arguments},s):a},s.rangePoints=function(t,e){arguments.length<2&&(e=0);var i=t[0],c=t[1],u=r.length<2?(i=(i+c)/2,0):(c-i)/(r.length-1+e);return a=l(i+u*e/2,u),o=0,n={t:"rangePoints",a:arguments},s},s.rangeRoundPoints=function(t,e){arguments.length<2&&(e=0);var i=t[0],c=t[1],u=r.length<2?(i=c=Math.round((i+c)/2),0):(c-i)/(r.length-1+e)|0;return a=l(i+Math.round(u*e/2+(c-i-(r.length-1+e)*u)/2),u),o=0,n={t:"rangeRoundPoints",a:arguments},s},s.rangeBands=function(t,e,i){arguments.length<2&&(e=0),arguments.length<3&&(i=e);var c=t[1]<t[0],u=t[c-0],h=t[1-c],f=(h-u)/(r.length-e+2*i);return a=l(u+f*i,f),c&&a.reverse(),o=f*(1-e),n={t:"rangeBands",a:arguments},s},s.rangeRoundBands=function(t,e,i){arguments.length<2&&(e=0),arguments.length<3&&(i=e);var c=t[1]<t[0],u=t[c-0],h=t[1-c],f=Math.floor((h-u)/(r.length-e+2*i));return a=l(u+Math.round((h-u-(r.length-e)*f)/2),f),c&&a.reverse(),o=Math.round(f*(1-e)),n={t:"rangeRoundBands",a:arguments},s},s.rangeBand=function(){return o},s.rangeExtent=function(){return go(n.a[0])},s.copy=function(){return e(r,n)},s.domain(r)}([],{t:"range",a:[[]]})},t.scale.category10=function(){return t.scale.ordinal().range(Io)},t.scale.category20=function(){return t.scale.ordinal().range(zo)},t.scale.category20b=function(){return t.scale.ordinal().range(Oo)},t.scale.category20c=function(){return t.scale.ordinal().range(Do)};var Io=[2062260,16744206,2924588,14034728,9725885,9197131,14907330,8355711,12369186,1556175].map(ae),zo=[2062260,11454440,16744206,16759672,2924588,10018698,14034728,16750742,9725885,12955861,9197131,12885140,14907330,16234194,8355711,13092807,12369186,14408589,1556175,10410725].map(ae),Oo=[3750777,5395619,7040719,10264286,6519097,9216594,11915115,13556636,9202993,12426809,15186514,15190932,8666169,11356490,14049643,15177372,8077683,10834324,13528509,14589654].map(ae),Do=[3244733,7057110,10406625,13032431,15095053,16616764,16625259,16634018,3253076,7652470,10607003,13101504,7695281,10394312,12369372,14342891,6513507,9868950,12434877,14277081].map(ae);function Ro(){return 0}t.scale.quantile=function(){return function e(r,n){var i;function a(){var e=0,a=n.length;for(i=[];++e<a;)i[e-1]=t.quantile(r,e/a);return o}function o(e){if(!isNaN(e=+e))return n[t.bisect(i,e)]}return o.domain=function(t){return arguments.length?(r=t.map(p).filter(d).sort(f),a()):r},o.range=function(t){return arguments.length?(n=t,a()):n},o.quantiles=function(){return i},o.invertExtent=function(t){return(t=n.indexOf(t))<0?[NaN,NaN]:[t>0?i[t-1]:r[0],t<i.length?i[t]:r[r.length-1]]},o.copy=function(){return e(r,n)},a()}([],[])},t.scale.quantize=function(){return function t(e,r,n){var i,a;function o(t){return n[Math.max(0,Math.min(a,Math.floor(i*(t-e))))]}function s(){return i=n.length/(r-e),a=n.length-1,o}return o.domain=function(t){return arguments.length?(e=+t[0],r=+t[t.length-1],s()):[e,r]},o.range=function(t){return arguments.length?(n=t,s()):n},o.invertExtent=function(t){return[t=(t=n.indexOf(t))<0?NaN:t/i+e,t+1/i]},o.copy=function(){return t(e,r,n)},s()}(0,1,[0,1])},t.scale.threshold=function(){return function e(r,n){function i(e){if(e<=e)return n[t.bisect(r,e)]}return i.domain=function(t){return arguments.length?(r=t,i):r},i.range=function(t){return arguments.length?(n=t,i):n},i.invertExtent=function(t){return t=n.indexOf(t),[r[t-1],r[t]]},i.copy=function(){return e(r,n)},i}([.5],[0,1])},t.scale.identity=function(){return function t(e){function r(t){return+t}return r.invert=r,r.domain=r.range=function(t){return arguments.length?(e=t.map(r),r):e},r.ticks=function(t){return Mo(e,t)},r.tickFormat=function(t,r){return Ao(e,t,r)},r.copy=function(){return t(e)},r}([0,1])},t.svg={},t.svg.arc=function(){var t=Bo,e=No,r=Ro,n=Fo,i=jo,a=Uo,o=Vo;function s(){var s=Math.max(0,+t.apply(this,arguments)),c=Math.max(0,+e.apply(this,arguments)),u=i.apply(this,arguments)-Ct,h=a.apply(this,arguments)-Ct,f=Math.abs(h-u),p=u>h?0:1;if(c<s&&(d=c,c=s,s=d),f>=Et)return l(c,p)+(s?l(s,1-p):"")+"Z";var d,g,m,v,y,x,b,_,w,T,k,M,A=0,S=0,E=[];if((v=(+o.apply(this,arguments)||0)/2)&&(m=n===Fo?Math.sqrt(s*s+c*c):+n.apply(this,arguments),p||(S*=-1),c&&(S=Dt(m/c*Math.sin(v))),s&&(A=Dt(m/s*Math.sin(v)))),c){y=c*Math.cos(u+S),x=c*Math.sin(u+S),b=c*Math.cos(h-S),_=c*Math.sin(h-S);var C=Math.abs(h-u-2*S)<=At?0:1;if(S&&qo(y,x,b,_)===p^C){var L=(u+h)/2;y=c*Math.cos(L),x=c*Math.sin(L),b=_=null}}else y=x=0;if(s){w=s*Math.cos(h-A),T=s*Math.sin(h-A),k=s*Math.cos(u+A),M=s*Math.sin(u+A);var P=Math.abs(u-h+2*A)<=At?0:1;if(A&&qo(w,T,k,M)===1-p^P){var I=(u+h)/2;w=s*Math.cos(I),T=s*Math.sin(I),k=M=null}}else w=T=0;if(f>kt&&(d=Math.min(Math.abs(c-s)/2,+r.apply(this,arguments)))>.001){g=s<c^p?0:1;var z=d,O=d;if(f<At){var D=null==k?[w,T]:null==b?[y,x]:li([y,x],[k,M],[b,_],[w,T]),R=y-D[0],F=x-D[1],B=b-D[0],N=_-D[1],j=1/Math.sin(Math.acos((R*B+F*N)/(Math.sqrt(R*R+F*F)*Math.sqrt(B*B+N*N)))/2),U=Math.sqrt(D[0]*D[0]+D[1]*D[1]);O=Math.min(d,(s-U)/(j-1)),z=Math.min(d,(c-U)/(j+1))}if(null!=b){var V=Ho(null==k?[w,T]:[k,M],[y,x],c,z,p),q=Ho([b,_],[w,T],c,z,p);d===z?E.push("M",V[0],"A",z,",",z," 0 0,",g," ",V[1],"A",c,",",c," 0 ",1-p^qo(V[1][0],V[1][1],q[1][0],q[1][1]),",",p," ",q[1],"A",z,",",z," 0 0,",g," ",q[0]):E.push("M",V[0],"A",z,",",z," 0 1,",g," ",q[0])}else E.push("M",y,",",x);if(null!=k){var H=Ho([y,x],[k,M],s,-O,p),G=Ho([w,T],null==b?[y,x]:[b,_],s,-O,p);d===O?E.push("L",G[0],"A",O,",",O," 0 0,",g," ",G[1],"A",s,",",s," 0 ",p^qo(G[1][0],G[1][1],H[1][0],H[1][1]),",",1-p," ",H[1],"A",O,",",O," 0 0,",g," ",H[0]):E.push("L",G[0],"A",O,",",O," 0 0,",g," ",H[0])}else E.push("L",w,",",T)}else E.push("M",y,",",x),null!=b&&E.push("A",c,",",c," 0 ",C,",",p," ",b,",",_),E.push("L",w,",",T),null!=k&&E.push("A",s,",",s," 0 ",P,",",1-p," ",k,",",M);return E.push("Z"),E.join("")}function l(t,e){return"M0,"+t+"A"+t+","+t+" 0 1,"+e+" 0,"+-t+"A"+t+","+t+" 0 1,"+e+" 0,"+t}return s.innerRadius=function(e){return arguments.length?(t=de(e),s):t},s.outerRadius=function(t){return arguments.length?(e=de(t),s):e},s.cornerRadius=function(t){return arguments.length?(r=de(t),s):r},s.padRadius=function(t){return arguments.length?(n=t==Fo?Fo:de(t),s):n},s.startAngle=function(t){return arguments.length?(i=de(t),s):i},s.endAngle=function(t){return arguments.length?(a=de(t),s):a},s.padAngle=function(t){return arguments.length?(o=de(t),s):o},s.centroid=function(){var r=(+t.apply(this,arguments)+ +e.apply(this,arguments))/2,n=(+i.apply(this,arguments)+ +a.apply(this,arguments))/2-Ct;return[Math.cos(n)*r,Math.sin(n)*r]},s};var Fo="auto";function Bo(t){return t.innerRadius}function No(t){return t.outerRadius}function jo(t){return t.startAngle}function Uo(t){return t.endAngle}function Vo(t){return t&&t.padAngle}function qo(t,e,r,n){return(t-r)*e-(e-n)*t>0?0:1}function Ho(t,e,r,n,i){var a=t[0]-e[0],o=t[1]-e[1],s=(i?n:-n)/Math.sqrt(a*a+o*o),l=s*o,c=-s*a,u=t[0]+l,h=t[1]+c,f=e[0]+l,p=e[1]+c,d=(u+f)/2,g=(h+p)/2,m=f-u,v=p-h,y=m*m+v*v,x=r-n,b=u*p-f*h,_=(v<0?-1:1)*Math.sqrt(Math.max(0,x*x*y-b*b)),w=(b*v-m*_)/y,T=(-b*m-v*_)/y,k=(b*v+m*_)/y,M=(-b*m+v*_)/y,A=w-d,S=T-g,E=k-d,C=M-g;return A*A+S*S>E*E+C*C&&(w=k,T=M),[[w-l,T-c],[w*r/x,T*r/x]]}function Go(t){var e=ri,r=ni,n=Yr,i=Wo,a=i.key,o=.7;function s(a){var s,l=[],c=[],u=-1,h=a.length,f=de(e),p=de(r);function d(){l.push("M",i(t(c),o))}for(;++u<h;)n.call(this,s=a[u],u)?c.push([+f.call(this,s,u),+p.call(this,s,u)]):c.length&&(d(),c=[]);return c.length&&d(),l.length?l.join(""):null}return s.x=function(t){return arguments.length?(e=t,s):e},s.y=function(t){return arguments.length?(r=t,s):r},s.defined=function(t){return arguments.length?(n=t,s):n},s.interpolate=function(t){return arguments.length?(a="function"==typeof t?i=t:(i=Yo.get(t)||Wo).key,s):a},s.tension=function(t){return arguments.length?(o=t,s):o},s}t.svg.line=function(){return Go(L)};var Yo=t.map({linear:Wo,"linear-closed":Zo,step:function(t){var e=0,r=t.length,n=t[0],i=[n[0],",",n[1]];for(;++e<r;)i.push("H",(n[0]+(n=t[e])[0])/2,"V",n[1]);r>1&&i.push("H",n[0]);return i.join("")},"step-before":Xo,"step-after":Jo,basis:$o,"basis-open":function(t){if(t.length<4)return Wo(t);var e,r=[],n=-1,i=t.length,a=[0],o=[0];for(;++n<3;)e=t[n],a.push(e[0]),o.push(e[1]);r.push(ts(ns,a)+","+ts(ns,o)),--n;for(;++n<i;)e=t[n],a.shift(),a.push(e[0]),o.shift(),o.push(e[1]),is(r,a,o);return r.join("")},"basis-closed":function(t){var e,r,n=-1,i=t.length,a=i+4,o=[],s=[];for(;++n<4;)r=t[n%i],o.push(r[0]),s.push(r[1]);e=[ts(ns,o),",",ts(ns,s)],--n;for(;++n<a;)r=t[n%i],o.shift(),o.push(r[0]),s.shift(),s.push(r[1]),is(e,o,s);return e.join("")},bundle:function(t,e){var r=t.length-1;if(r)for(var n,i,a=t[0][0],o=t[0][1],s=t[r][0]-a,l=t[r][1]-o,c=-1;++c<=r;)n=t[c],i=c/r,n[0]=e*n[0]+(1-e)*(a+i*s),n[1]=e*n[1]+(1-e)*(o+i*l);return $o(t)},cardinal:function(t,e){return t.length<3?Wo(t):t[0]+Ko(t,Qo(t,e))},"cardinal-open":function(t,e){return t.length<4?Wo(t):t[1]+Ko(t.slice(1,-1),Qo(t,e))},"cardinal-closed":function(t,e){return t.length<3?Zo(t):t[0]+Ko((t.push(t[0]),t),Qo([t[t.length-2]].concat(t,[t[1]]),e))},monotone:function(t){return t.length<3?Wo(t):t[0]+Ko(t,function(t){var e,r,n,i,a=[],o=function(t){var e=0,r=t.length-1,n=[],i=t[0],a=t[1],o=n[0]=as(i,a);for(;++e<r;)n[e]=(o+(o=as(i=a,a=t[e+1])))/2;return n[e]=o,n}(t),s=-1,l=t.length-1;for(;++s<l;)e=as(t[s],t[s+1]),y(e)<kt?o[s]=o[s+1]=0:(r=o[s]/e,n=o[s+1]/e,(i=r*r+n*n)>9&&(i=3*e/Math.sqrt(i),o[s]=i*r,o[s+1]=i*n));s=-1;for(;++s<=l;)i=(t[Math.min(l,s+1)][0]-t[Math.max(0,s-1)][0])/(6*(1+o[s]*o[s])),a.push([i||0,o[s]*i||0]);return a}(t))}});function Wo(t){return t.length>1?t.join("L"):t+"Z"}function Zo(t){return t.join("L")+"Z"}function Xo(t){for(var e=0,r=t.length,n=t[0],i=[n[0],",",n[1]];++e<r;)i.push("V",(n=t[e])[1],"H",n[0]);return i.join("")}function Jo(t){for(var e=0,r=t.length,n=t[0],i=[n[0],",",n[1]];++e<r;)i.push("H",(n=t[e])[0],"V",n[1]);return i.join("")}function Ko(t,e){if(e.length<1||t.length!=e.length&&t.length!=e.length+2)return Wo(t);var r=t.length!=e.length,n="",i=t[0],a=t[1],o=e[0],s=o,l=1;if(r&&(n+="Q"+(a[0]-2*o[0]/3)+","+(a[1]-2*o[1]/3)+","+a[0]+","+a[1],i=t[1],l=2),e.length>1){s=e[1],a=t[l],l++,n+="C"+(i[0]+o[0])+","+(i[1]+o[1])+","+(a[0]-s[0])+","+(a[1]-s[1])+","+a[0]+","+a[1];for(var c=2;c<e.length;c++,l++)a=t[l],s=e[c],n+="S"+(a[0]-s[0])+","+(a[1]-s[1])+","+a[0]+","+a[1]}if(r){var u=t[l];n+="Q"+(a[0]+2*s[0]/3)+","+(a[1]+2*s[1]/3)+","+u[0]+","+u[1]}return n}function Qo(t,e){for(var r,n=[],i=(1-e)/2,a=t[0],o=t[1],s=1,l=t.length;++s<l;)r=a,a=o,o=t[s],n.push([i*(o[0]-r[0]),i*(o[1]-r[1])]);return n}function $o(t){if(t.length<3)return Wo(t);var e=1,r=t.length,n=t[0],i=n[0],a=n[1],o=[i,i,i,(n=t[1])[0]],s=[a,a,a,n[1]],l=[i,",",a,"L",ts(ns,o),",",ts(ns,s)];for(t.push(t[r-1]);++e<=r;)n=t[e],o.shift(),o.push(n[0]),s.shift(),s.push(n[1]),is(l,o,s);return t.pop(),l.push("L",n),l.join("")}function ts(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]}Yo.forEach((function(t,e){e.key=t,e.closed=/-closed$/.test(t)}));var es=[0,2/3,1/3,0],rs=[0,1/3,2/3,0],ns=[0,1/6,2/3,1/6];function is(t,e,r){t.push("C",ts(es,e),",",ts(es,r),",",ts(rs,e),",",ts(rs,r),",",ts(ns,e),",",ts(ns,r))}function as(t,e){return(e[1]-t[1])/(e[0]-t[0])}function os(t){for(var e,r,n,i=-1,a=t.length;++i<a;)r=(e=t[i])[0],n=e[1]-Ct,e[0]=r*Math.cos(n),e[1]=r*Math.sin(n);return t}function ss(t){var e=ri,r=ri,n=0,i=ni,a=Yr,o=Wo,s=o.key,l=o,c="L",u=.7;function h(s){var h,f,p,d=[],g=[],m=[],v=-1,y=s.length,x=de(e),b=de(n),_=e===r?function(){return f}:de(r),w=n===i?function(){return p}:de(i);function T(){d.push("M",o(t(m),u),c,l(t(g.reverse()),u),"Z")}for(;++v<y;)a.call(this,h=s[v],v)?(g.push([f=+x.call(this,h,v),p=+b.call(this,h,v)]),m.push([+_.call(this,h,v),+w.call(this,h,v)])):g.length&&(T(),g=[],m=[]);return g.length&&T(),d.length?d.join(""):null}return h.x=function(t){return arguments.length?(e=r=t,h):r},h.x0=function(t){return arguments.length?(e=t,h):e},h.x1=function(t){return arguments.length?(r=t,h):r},h.y=function(t){return arguments.length?(n=i=t,h):i},h.y0=function(t){return arguments.length?(n=t,h):n},h.y1=function(t){return arguments.length?(i=t,h):i},h.defined=function(t){return arguments.length?(a=t,h):a},h.interpolate=function(t){return arguments.length?(s="function"==typeof t?o=t:(o=Yo.get(t)||Wo).key,l=o.reverse||o,c=o.closed?"M":"L",h):s},h.tension=function(t){return arguments.length?(u=t,h):u},h}function ls(t){return t.radius}function cs(t){return[t.x,t.y]}function us(t){return function(){var e=t.apply(this,arguments),r=e[0],n=e[1]-Ct;return[r*Math.cos(n),r*Math.sin(n)]}}function hs(){return 64}function fs(){return"circle"}function ps(t){var e=Math.sqrt(t/At);return"M0,"+e+"A"+e+","+e+" 0 1,1 0,"+-e+"A"+e+","+e+" 0 1,1 0,"+e+"Z"}t.svg.line.radial=function(){var t=Go(os);return t.radius=t.x,delete t.x,t.angle=t.y,delete t.y,t},Xo.reverse=Jo,Jo.reverse=Xo,t.svg.area=function(){return ss(L)},t.svg.area.radial=function(){var t=ss(os);return t.radius=t.x,delete t.x,t.innerRadius=t.x0,delete t.x0,t.outerRadius=t.x1,delete t.x1,t.angle=t.y,delete t.y,t.startAngle=t.y0,delete t.y0,t.endAngle=t.y1,delete t.y1,t},t.svg.chord=function(){var t=Vn,e=qn,r=ls,n=jo,i=Uo;function a(r,n){var i,a,c=o(this,t,r,n),u=o(this,e,r,n);return"M"+c.p0+s(c.r,c.p1,c.a1-c.a0)+(a=u,((i=c).a0==a.a0&&i.a1==a.a1?l(c.r,c.p1,c.r,c.p0):l(c.r,c.p1,u.r,u.p0)+s(u.r,u.p1,u.a1-u.a0)+l(u.r,u.p1,c.r,c.p0))+"Z")}function o(t,e,a,o){var s=e.call(t,a,o),l=r.call(t,s,o),c=n.call(t,s,o)-Ct,u=i.call(t,s,o)-Ct;return{r:l,a0:c,a1:u,p0:[l*Math.cos(c),l*Math.sin(c)],p1:[l*Math.cos(u),l*Math.sin(u)]}}function s(t,e,r){return"A"+t+","+t+" 0 "+ +(r>At)+",1 "+e}function l(t,e,r,n){return"Q 0,0 "+n}return a.radius=function(t){return arguments.length?(r=de(t),a):r},a.source=function(e){return arguments.length?(t=de(e),a):t},a.target=function(t){return arguments.length?(e=de(t),a):e},a.startAngle=function(t){return arguments.length?(n=de(t),a):n},a.endAngle=function(t){return arguments.length?(i=de(t),a):i},a},t.svg.diagonal=function(){var t=Vn,e=qn,r=cs;function n(n,i){var a=t.call(this,n,i),o=e.call(this,n,i),s=(a.y+o.y)/2,l=[a,{x:a.x,y:s},{x:o.x,y:s},o];return"M"+(l=l.map(r))[0]+"C"+l[1]+" "+l[2]+" "+l[3]}return n.source=function(e){return arguments.length?(t=de(e),n):t},n.target=function(t){return arguments.length?(e=de(t),n):e},n.projection=function(t){return arguments.length?(r=t,n):r},n},t.svg.diagonal.radial=function(){var e=t.svg.diagonal(),r=cs,n=e.projection;return e.projection=function(t){return arguments.length?n(us(r=t)):r},e},t.svg.symbol=function(){var t=fs,e=hs;function r(r,n){return(ds.get(t.call(this,r,n))||ps)(e.call(this,r,n))}return r.type=function(e){return arguments.length?(t=de(e),r):t},r.size=function(t){return arguments.length?(e=de(t),r):e},r};var ds=t.map({circle:ps,cross:function(t){var e=Math.sqrt(t/5)/2;return"M"+-3*e+","+-e+"H"+-e+"V"+-3*e+"H"+e+"V"+-e+"H"+3*e+"V"+e+"H"+e+"V"+3*e+"H"+-e+"V"+e+"H"+-3*e+"Z"},diamond:function(t){var e=Math.sqrt(t/(2*ms)),r=e*ms;return"M0,"+-e+"L"+r+",0 0,"+e+" "+-r+",0Z"},square:function(t){var e=Math.sqrt(t)/2;return"M"+-e+","+-e+"L"+e+","+-e+" "+e+","+e+" "+-e+","+e+"Z"},"triangle-down":function(t){var e=Math.sqrt(t/gs),r=e*gs/2;return"M0,"+r+"L"+e+","+-r+" "+-e+","+-r+"Z"},"triangle-up":function(t){var e=Math.sqrt(t/gs),r=e*gs/2;return"M0,"+-r+"L"+e+","+r+" "+-e+","+r+"Z"}});t.svg.symbolTypes=ds.keys();var gs=Math.sqrt(3),ms=Math.tan(30*Lt);Y.transition=function(t){for(var e,r,n=bs||++Ts,i=As(t),a=[],o=_s||{time:Date.now(),ease:ca,delay:0,duration:250},s=-1,l=this.length;++s<l;){a.push(e=[]);for(var c=this[s],u=-1,h=c.length;++u<h;)(r=c[u])&&Ss(r,u,i,n,o),e.push(r)}return xs(a,i,n)},Y.interrupt=function(t){return this.each(null==t?vs:ys(As(t)))};var vs=ys(As());function ys(t){return function(){var e,r,n;(e=this[t])&&(n=e[r=e.active])&&(n.timer.c=null,n.timer.t=NaN,--e.count?delete e[r]:delete this[t],e.active+=.5,n.event&&n.event.interrupt.call(this,this.__data__,n.index))}}function xs(t,e,r){return U(t,ws),t.namespace=e,t.id=r,t}var bs,_s,ws=[],Ts=0;function ks(t,e,r,n){var i=t.id,a=t.namespace;return ut(t,"function"==typeof r?function(t,o,s){t[a][i].tween.set(e,n(r.call(t,t.__data__,o,s)))}:(r=n(r),function(t){t[a][i].tween.set(e,r)}))}function Ms(t){return null==t&&(t=""),function(){this.textContent=t}}function As(t){return null==t?"__transition__":"__transition_"+t+"__"}function Ss(t,e,r,n,i){var a,o,s,l,c,u=t[r]||(t[r]={active:0,count:0}),h=u[n];function f(r){var i=u.active,f=u[i];for(var d in f&&(f.timer.c=null,f.timer.t=NaN,--u.count,delete u[i],f.event&&f.event.interrupt.call(t,t.__data__,f.index)),u)if(+d<n){var g=u[d];g.timer.c=null,g.timer.t=NaN,--u.count,delete u[d]}o.c=p,we((function(){return o.c&&p(r||1)&&(o.c=null,o.t=NaN),1}),0,a),u.active=n,h.event&&h.event.start.call(t,t.__data__,e),c=[],h.tween.forEach((function(r,n){(n=n.call(t,t.__data__,e))&&c.push(n)})),l=h.ease,s=h.duration}function p(i){for(var a=i/s,o=l(a),f=c.length;f>0;)c[--f].call(t,o);if(a>=1)return h.event&&h.event.end.call(t,t.__data__,e),--u.count?delete u[n]:delete t[r],1}h||(a=i.time,o=we((function(t){var e=h.delay;if(o.t=e+a,e<=t)return f(t-e);o.c=f}),0,a),h=u[n]={tween:new _,time:a,timer:o,delay:i.delay,duration:i.duration,ease:i.ease,index:e},i=null,++u.count)}ws.call=Y.call,ws.empty=Y.empty,ws.node=Y.node,ws.size=Y.size,t.transition=function(e,r){return e&&e.transition?bs?e.transition(r):e:t.selection().transition(e)},t.transition.prototype=ws,ws.select=function(t){var e,r,n,i=this.id,a=this.namespace,o=[];t=W(t);for(var s=-1,l=this.length;++s<l;){o.push(e=[]);for(var c=this[s],u=-1,h=c.length;++u<h;)(n=c[u])&&(r=t.call(n,n.__data__,u,s))?("__data__"in n&&(r.__data__=n.__data__),Ss(r,u,a,i,n[a][i]),e.push(r)):e.push(null)}return xs(o,a,i)},ws.selectAll=function(t){var e,r,n,i,a,o=this.id,s=this.namespace,l=[];t=Z(t);for(var c=-1,u=this.length;++c<u;)for(var h=this[c],f=-1,p=h.length;++f<p;)if(n=h[f]){a=n[s][o],r=t.call(n,n.__data__,f,c),l.push(e=[]);for(var d=-1,g=r.length;++d<g;)(i=r[d])&&Ss(i,d,s,o,a),e.push(i)}return xs(l,s,o)},ws.filter=function(t){var e,r,n=[];"function"!=typeof t&&(t=lt(t));for(var i=0,a=this.length;i<a;i++){n.push(e=[]);for(var o,s=0,l=(o=this[i]).length;s<l;s++)(r=o[s])&&t.call(r,r.__data__,s,i)&&e.push(r)}return xs(n,this.namespace,this.id)},ws.tween=function(t,e){var r=this.id,n=this.namespace;return arguments.length<2?this.node()[n][r].tween.get(t):ut(this,null==e?function(e){e[n][r].tween.remove(t)}:function(i){i[n][r].tween.set(t,e)})},ws.attr=function(e,r){if(arguments.length<2){for(r in e)this.attr(r,e[r]);return this}var n="transform"==e?ba:$i,i=t.ns.qualify(e);function a(){this.removeAttribute(i)}function o(){this.removeAttributeNS(i.space,i.local)}function s(t){return null==t?a:(t+="",function(){var e,r=this.getAttribute(i);return r!==t&&(e=n(r,t),function(t){this.setAttribute(i,e(t))})})}function l(t){return null==t?o:(t+="",function(){var e,r=this.getAttributeNS(i.space,i.local);return r!==t&&(e=n(r,t),function(t){this.setAttributeNS(i.space,i.local,e(t))})})}return ks(this,"attr."+e,r,i.local?l:s)},ws.attrTween=function(e,r){var n=t.ns.qualify(e);return this.tween("attr."+e,n.local?function(t,e){var i=r.call(this,t,e,this.getAttributeNS(n.space,n.local));return i&&function(t){this.setAttributeNS(n.space,n.local,i(t))}}:function(t,e){var i=r.call(this,t,e,this.getAttribute(n));return i&&function(t){this.setAttribute(n,i(t))}})},ws.style=function(t,e,r){var n=arguments.length;if(n<3){if("string"!=typeof t){for(r in n<2&&(e=""),t)this.style(r,t[r],e);return this}r=""}function i(){this.style.removeProperty(t)}function a(e){return null==e?i:(e+="",function(){var n,i=o(this).getComputedStyle(this,null).getPropertyValue(t);return i!==e&&(n=$i(i,e),function(e){this.style.setProperty(t,n(e),r)})})}return ks(this,"style."+t,e,a)},ws.styleTween=function(t,e,r){function n(n,i){var a=e.call(this,n,i,o(this).getComputedStyle(this,null).getPropertyValue(t));return a&&function(e){this.style.setProperty(t,a(e),r)}}return arguments.length<3&&(r=""),this.tween("style."+t,n)},ws.text=function(t){return ks(this,"text",t,Ms)},ws.remove=function(){var t=this.namespace;return this.each("end.transition",(function(){var e;this[t].count<2&&(e=this.parentNode)&&e.removeChild(this)}))},ws.ease=function(e){var r=this.id,n=this.namespace;return arguments.length<1?this.node()[n][r].ease:("function"!=typeof e&&(e=t.ease.apply(t,arguments)),ut(this,(function(t){t[n][r].ease=e})))},ws.delay=function(t){var e=this.id,r=this.namespace;return arguments.length<1?this.node()[r][e].delay:ut(this,"function"==typeof t?function(n,i,a){n[r][e].delay=+t.call(n,n.__data__,i,a)}:(t=+t,function(n){n[r][e].delay=t}))},ws.duration=function(t){var e=this.id,r=this.namespace;return arguments.length<1?this.node()[r][e].duration:ut(this,"function"==typeof t?function(n,i,a){n[r][e].duration=Math.max(1,t.call(n,n.__data__,i,a))}:(t=Math.max(1,t),function(n){n[r][e].duration=t}))},ws.each=function(e,r){var n=this.id,i=this.namespace;if(arguments.length<2){var a=_s,o=bs;try{bs=n,ut(this,(function(t,r,a){_s=t[i][n],e.call(t,t.__data__,r,a)}))}finally{_s=a,bs=o}}else ut(this,(function(a){var o=a[i][n];(o.event||(o.event=t.dispatch("start","end","interrupt"))).on(e,r)}));return this},ws.transition=function(){for(var t,e,r,n=this.id,i=++Ts,a=this.namespace,o=[],s=0,l=this.length;s<l;s++){o.push(t=[]);for(var c,u=0,h=(c=this[s]).length;u<h;u++)(e=c[u])&&Ss(e,u,a,i,{time:(r=e[a][n]).time,ease:r.ease,delay:r.delay+r.duration,duration:r.duration}),t.push(e)}return xs(o,a,i)},t.svg.axis=function(){var e,r=t.scale.linear(),i=Es,a=6,o=6,s=3,l=[10],c=null;function u(n){n.each((function(){var n,u=t.select(this),h=this.__chart__||r,f=this.__chart__=r.copy(),p=null==c?f.ticks?f.ticks.apply(f,l):f.domain():c,d=null==e?f.tickFormat?f.tickFormat.apply(f,l):L:e,g=u.selectAll(".tick").data(p,f),m=g.enter().insert("g",".domain").attr("class","tick").style("opacity",kt),v=t.transition(g.exit()).style("opacity",kt).remove(),y=t.transition(g.order()).style("opacity",1),x=Math.max(a,0)+s,b=mo(f),_=u.selectAll(".domain").data([0]),w=(_.enter().append("path").attr("class","domain"),t.transition(_));m.append("line"),m.append("text");var T,k,M,A,S=m.select("line"),E=y.select("line"),C=g.select("text").text(d),P=m.select("text"),I=y.select("text"),z="top"===i||"left"===i?-1:1;if("bottom"===i||"top"===i?(n=Ls,T="x",M="y",k="x2",A="y2",C.attr("dy",z<0?"0em":".71em").style("text-anchor","middle"),w.attr("d","M"+b[0]+","+z*o+"V0H"+b[1]+"V"+z*o)):(n=Ps,T="y",M="x",k="y2",A="x2",C.attr("dy",".32em").style("text-anchor",z<0?"end":"start"),w.attr("d","M"+z*o+","+b[0]+"H0V"+b[1]+"H"+z*o)),S.attr(A,z*a),P.attr(M,z*x),E.attr(k,0).attr(A,z*a),I.attr(T,0).attr(M,z*x),f.rangeBand){var O=f,D=O.rangeBand()/2;h=f=function(t){return O(t)+D}}else h.rangeBand?h=f:v.call(n,f,h);m.call(n,h,f),y.call(n,f,f)}))}return u.scale=function(t){return arguments.length?(r=t,u):r},u.orient=function(t){return arguments.length?(i=t in Cs?t+"":Es,u):i},u.ticks=function(){return arguments.length?(l=n(arguments),u):l},u.tickValues=function(t){return arguments.length?(c=t,u):c},u.tickFormat=function(t){return arguments.length?(e=t,u):e},u.tickSize=function(t){var e=arguments.length;return e?(a=+t,o=+arguments[e-1],u):a},u.innerTickSize=function(t){return arguments.length?(a=+t,u):a},u.outerTickSize=function(t){return arguments.length?(o=+t,u):o},u.tickPadding=function(t){return arguments.length?(s=+t,u):s},u.tickSubdivide=function(){return arguments.length&&u},u};var Es="bottom",Cs={top:1,right:1,bottom:1,left:1};function Ls(t,e,r){t.attr("transform",(function(t){var n=e(t);return"translate("+(isFinite(n)?n:r(t))+",0)"}))}function Ps(t,e,r){t.attr("transform",(function(t){var n=e(t);return"translate(0,"+(isFinite(n)?n:r(t))+")"}))}t.svg.brush=function(){var e,r,n=N(f,"brushstart","brush","brushend"),i=null,a=null,s=[0,0],l=[0,0],c=!0,u=!0,h=zs[0];function f(e){e.each((function(){var e=t.select(this).style("pointer-events","all").style("-webkit-tap-highlight-color","rgba(0,0,0,0)").on("mousedown.brush",m).on("touchstart.brush",m),r=e.selectAll(".background").data([0]);r.enter().append("rect").attr("class","background").style("visibility","hidden").style("cursor","crosshair"),e.selectAll(".extent").data([0]).enter().append("rect").attr("class","extent").style("cursor","move");var n=e.selectAll(".resize").data(h,L);n.exit().remove(),n.enter().append("g").attr("class",(function(t){return"resize "+t})).style("cursor",(function(t){return Is[t]})).append("rect").attr("x",(function(t){return/[ew]$/.test(t)?-3:null})).attr("y",(function(t){return/^[ns]/.test(t)?-3:null})).attr("width",6).attr("height",6).style("visibility","hidden"),n.style("display",f.empty()?"none":null);var o,s=t.transition(e),l=t.transition(r);i&&(o=mo(i),l.attr("x",o[0]).attr("width",o[1]-o[0]),d(s)),a&&(o=mo(a),l.attr("y",o[0]).attr("height",o[1]-o[0]),g(s)),p(s)}))}function p(t){t.selectAll(".resize").attr("transform",(function(t){return"translate("+s[+/e$/.test(t)]+","+l[+/^s/.test(t)]+")"}))}function d(t){t.select(".extent").attr("x",s[0]),t.selectAll(".extent,.n>rect,.s>rect").attr("width",s[1]-s[0])}function g(t){t.select(".extent").attr("y",l[0]),t.selectAll(".extent,.e>rect,.w>rect").attr("height",l[1]-l[0])}function m(){var h,m,v=this,y=t.select(t.event.target),x=n.of(v,arguments),b=t.select(v),_=y.datum(),w=!/^(n|s)$/.test(_)&&i,T=!/^(e|w)$/.test(_)&&a,k=y.classed("extent"),M=bt(v),A=t.mouse(v),S=t.select(o(v)).on("keydown.brush",L).on("keyup.brush",P);if(t.event.changedTouches?S.on("touchmove.brush",I).on("touchend.brush",O):S.on("mousemove.brush",I).on("mouseup.brush",O),b.interrupt().selectAll("*").interrupt(),k)A[0]=s[0]-A[0],A[1]=l[0]-A[1];else if(_){var E=+/w$/.test(_),C=+/^n/.test(_);m=[s[1-E]-A[0],l[1-C]-A[1]],A[0]=s[E],A[1]=l[C]}else t.event.altKey&&(h=A.slice());function L(){32==t.event.keyCode&&(k||(h=null,A[0]-=s[1],A[1]-=l[1],k=2),F())}function P(){32==t.event.keyCode&&2==k&&(A[0]+=s[1],A[1]+=l[1],k=0,F())}function I(){var e=t.mouse(v),r=!1;m&&(e[0]+=m[0],e[1]+=m[1]),k||(t.event.altKey?(h||(h=[(s[0]+s[1])/2,(l[0]+l[1])/2]),A[0]=s[+(e[0]<h[0])],A[1]=l[+(e[1]<h[1])]):h=null),w&&z(e,i,0)&&(d(b),r=!0),T&&z(e,a,1)&&(g(b),r=!0),r&&(p(b),x({type:"brush",mode:k?"move":"resize"}))}function z(t,n,i){var a,o,f=mo(n),p=f[0],d=f[1],g=A[i],m=i?l:s,v=m[1]-m[0];if(k&&(p-=g,d-=v+g),a=(i?u:c)?Math.max(p,Math.min(d,t[i])):t[i],k?o=(a+=g)+v:(h&&(g=Math.max(p,Math.min(d,2*h[i]-a))),g<a?(o=a,a=g):o=g),m[0]!=a||m[1]!=o)return i?r=null:e=null,m[0]=a,m[1]=o,!0}function O(){I(),b.style("pointer-events","all").selectAll(".resize").style("display",f.empty()?"none":null),t.select("body").style("cursor",null),S.on("mousemove.brush",null).on("mouseup.brush",null).on("touchmove.brush",null).on("touchend.brush",null).on("keydown.brush",null).on("keyup.brush",null),M(),x({type:"brushend"})}b.style("pointer-events","none").selectAll(".resize").style("display",null),t.select("body").style("cursor",y.style("cursor")),x({type:"brushstart"}),I()}return f.event=function(i){i.each((function(){var i=n.of(this,arguments),a={x:s,y:l,i:e,j:r},o=this.__chart__||a;this.__chart__=a,bs?t.select(this).transition().each("start.brush",(function(){e=o.i,r=o.j,s=o.x,l=o.y,i({type:"brushstart"})})).tween("brush:brush",(function(){var t=ta(s,a.x),n=ta(l,a.y);return e=r=null,function(e){s=a.x=t(e),l=a.y=n(e),i({type:"brush",mode:"resize"})}})).each("end.brush",(function(){e=a.i,r=a.j,i({type:"brush",mode:"resize"}),i({type:"brushend"})})):(i({type:"brushstart"}),i({type:"brush",mode:"resize"}),i({type:"brushend"}))}))},f.x=function(t){return arguments.length?(h=zs[!(i=t)<<1|!a],f):i},f.y=function(t){return arguments.length?(h=zs[!i<<1|!(a=t)],f):a},f.clamp=function(t){return arguments.length?(i&&a?(c=!!t[0],u=!!t[1]):i?c=!!t:a&&(u=!!t),f):i&&a?[c,u]:i?c:a?u:null},f.extent=function(t){var n,o,c,u,h;return arguments.length?(i&&(n=t[0],o=t[1],a&&(n=n[0],o=o[0]),e=[n,o],i.invert&&(n=i(n),o=i(o)),o<n&&(h=n,n=o,o=h),n==s[0]&&o==s[1]||(s=[n,o])),a&&(c=t[0],u=t[1],i&&(c=c[1],u=u[1]),r=[c,u],a.invert&&(c=a(c),u=a(u)),u<c&&(h=c,c=u,u=h),c==l[0]&&u==l[1]||(l=[c,u])),f):(i&&(e?(n=e[0],o=e[1]):(n=s[0],o=s[1],i.invert&&(n=i.invert(n),o=i.invert(o)),o<n&&(h=n,n=o,o=h))),a&&(r?(c=r[0],u=r[1]):(c=l[0],u=l[1],a.invert&&(c=a.invert(c),u=a.invert(u)),u<c&&(h=c,c=u,u=h))),i&&a?[[n,c],[o,u]]:i?[n,o]:a&&[c,u])},f.clear=function(){return f.empty()||(s=[0,0],l=[0,0],e=r=null),f},f.empty=function(){return!!i&&s[0]==s[1]||!!a&&l[0]==l[1]},t.rebind(f,n,"on")};var Is={n:"ns-resize",e:"ew-resize",s:"ns-resize",w:"ew-resize",nw:"nwse-resize",ne:"nesw-resize",se:"nwse-resize",sw:"nesw-resize"},zs=[["n","e","s","w","nw","ne","se","sw"],["e","w"],["n","s"],[]],Os=Ie.format=sr.timeFormat,Ds=Os.utc,Rs=Ds("%Y-%m-%dT%H:%M:%S.%LZ");function Fs(t){return t.toISOString()}function Bs(e,r,n){function i(t){return e(t)}function a(e,n){var i=(e[1]-e[0])/n,a=t.bisect(js,i);return a==js.length?[r.year,ko(e.map((function(t){return t/31536e6})),n)[2]]:a?r[i/js[a-1]<js[a]/i?a-1:a]:[qs,ko(e,n)[2]]}return i.invert=function(t){return Ns(e.invert(t))},i.domain=function(t){return arguments.length?(e.domain(t),i):e.domain().map(Ns)},i.nice=function(t,e){var r=i.domain(),n=go(r),o=null==t?a(n,10):"number"==typeof t&&a(n,t);function s(r){return!isNaN(r)&&!t.range(r,Ns(+r+1),e).length}return o&&(t=o[0],e=o[1]),i.domain(yo(r,e>1?{floor:function(e){for(;s(e=t.floor(e));)e=Ns(e-1);return e},ceil:function(e){for(;s(e=t.ceil(e));)e=Ns(+e+1);return e}}:t))},i.ticks=function(t,e){var r=go(i.domain()),n=null==t?a(r,10):"number"==typeof t?a(r,t):!t.range&&[{range:t},e];return n&&(t=n[0],e=n[1]),t.range(r[0],Ns(+r[1]+1),e<1?1:e)},i.tickFormat=function(){return n},i.copy=function(){return Bs(e.copy(),r,n)},wo(i,e)}function Ns(t){return new Date(t)}Os.iso=Date.prototype.toISOString&&+new Date("2000-01-01T00:00:00.000Z")?Fs:Rs,Fs.parse=function(t){var e=new Date(t);return isNaN(e)?null:e},Fs.toString=Rs.toString,Ie.second=Re((function(t){return new ze(1e3*Math.floor(t/1e3))}),(function(t,e){t.setTime(t.getTime()+1e3*Math.floor(e))}),(function(t){return t.getSeconds()})),Ie.seconds=Ie.second.range,Ie.seconds.utc=Ie.second.utc.range,Ie.minute=Re((function(t){return new ze(6e4*Math.floor(t/6e4))}),(function(t,e){t.setTime(t.getTime()+6e4*Math.floor(e))}),(function(t){return t.getMinutes()})),Ie.minutes=Ie.minute.range,Ie.minutes.utc=Ie.minute.utc.range,Ie.hour=Re((function(t){var e=t.getTimezoneOffset()/60;return new ze(36e5*(Math.floor(t/36e5-e)+e))}),(function(t,e){t.setTime(t.getTime()+36e5*Math.floor(e))}),(function(t){return t.getHours()})),Ie.hours=Ie.hour.range,Ie.hours.utc=Ie.hour.utc.range,Ie.month=Re((function(t){return(t=Ie.day(t)).setDate(1),t}),(function(t,e){t.setMonth(t.getMonth()+e)}),(function(t){return t.getMonth()})),Ie.months=Ie.month.range,Ie.months.utc=Ie.month.utc.range;var js=[1e3,5e3,15e3,3e4,6e4,3e5,9e5,18e5,36e5,108e5,216e5,432e5,864e5,1728e5,6048e5,2592e6,7776e6,31536e6],Us=[[Ie.second,1],[Ie.second,5],[Ie.second,15],[Ie.second,30],[Ie.minute,1],[Ie.minute,5],[Ie.minute,15],[Ie.minute,30],[Ie.hour,1],[Ie.hour,3],[Ie.hour,6],[Ie.hour,12],[Ie.day,1],[Ie.day,2],[Ie.week,1],[Ie.month,1],[Ie.month,3],[Ie.year,1]],Vs=Os.multi([[".%L",function(t){return t.getMilliseconds()}],[":%S",function(t){return t.getSeconds()}],["%I:%M",function(t){return t.getMinutes()}],["%I %p",function(t){return t.getHours()}],["%a %d",function(t){return t.getDay()&&1!=t.getDate()}],["%b %d",function(t){return 1!=t.getDate()}],["%B",function(t){return t.getMonth()}],["%Y",Yr]]),qs={range:function(e,r,n){return t.range(Math.ceil(e/n)*n,+r,n).map(Ns)},floor:L,ceil:L};Us.year=Ie.year,Ie.scale=function(){return Bs(t.scale.linear(),Us,Vs)};var Hs=Us.map((function(t){return[t[0].utc,t[1]]})),Gs=Ds.multi([[".%L",function(t){return t.getUTCMilliseconds()}],[":%S",function(t){return t.getUTCSeconds()}],["%I:%M",function(t){return t.getUTCMinutes()}],["%I %p",function(t){return t.getUTCHours()}],["%a %d",function(t){return t.getUTCDay()&&1!=t.getUTCDate()}],["%b %d",function(t){return 1!=t.getUTCDate()}],["%B",function(t){return t.getUTCMonth()}],["%Y",Yr]]);function Ys(t){return JSON.parse(t.responseText)}function Ws(t){var e=i.createRange();return e.selectNode(i.body),e.createContextualFragment(t.responseText)}Hs.year=Ie.year.utc,Ie.scale.utc=function(){return Bs(t.scale.linear(),Hs,Gs)},t.text=ge((function(t){return t.responseText})),t.json=function(t,e){return me(t,"application/json",Ys,e)},t.html=function(t,e){return me(t,"text/html",Ws,e)},t.xml=ge((function(t){return t.responseXML})),"object"==typeof e&&e.exports?e.exports=t:this.d3=t}()},{}],170:[function(t,e,r){e.exports=function(){for(var t=0;t<arguments.length;t++)if(void 0!==arguments[t])return arguments[t]}},{}],171:[function(t,e,r){"use strict";var n=t("incremental-convex-hull"),i=t("uniq");function a(t,e){this.point=t,this.index=e}function o(t,e){for(var r=t.point,n=e.point,i=r.length,a=0;a<i;++a){var o=n[a]-r[a];if(o)return o}return 0}e.exports=function(t,e){var r=t.length;if(0===r)return[];var s=t[0].length;if(s<1)return[];if(1===s)return function(t,e,r){if(1===t)return r?[[-1,0]]:[];var n=e.map((function(t,e){return[t[0],e]}));n.sort((function(t,e){return t[0]-e[0]}));for(var i=new Array(t-1),a=1;a<t;++a){var o=n[a-1],s=n[a];i[a-1]=[o[1],s[1]]}r&&i.push([-1,i[0][1]],[i[t-1][1],-1]);return i}(r,t,e);for(var l=new Array(r),c=1,u=0;u<r;++u){for(var h=t[u],f=new Array(s+1),p=0,d=0;d<s;++d){var g=h[d];f[d]=g,p+=g*g}f[s]=p,l[u]=new a(f,u),c=Math.max(p,c)}i(l,o),r=l.length;var m=new Array(r+s+1),v=new Array(r+s+1),y=(s+1)*(s+1)*c,x=new Array(s+1);for(u=0;u<=s;++u)x[u]=0;x[s]=y,m[0]=x.slice(),v[0]=-1;for(u=0;u<=s;++u){(f=x.slice())[u]=1,m[u+1]=f,v[u+1]=-1}for(u=0;u<r;++u){var b=l[u];m[u+s+1]=b.point,v[u+s+1]=b.index}var _=n(m,!1);_=e?_.filter((function(t){for(var e=0,r=0;r<=s;++r){var n=v[t[r]];if(n<0&&++e>=2)return!1;t[r]=n}return!0})):_.filter((function(t){for(var e=0;e<=s;++e){var r=v[t[e]];if(r<0)return!1;t[e]=r}return!0}));if(1&s)for(u=0;u<_.length;++u){f=(b=_[u])[0];b[0]=b[1],b[1]=f}return _}},{"incremental-convex-hull":433,uniq:569}],172:[function(t,e,r){"use strict";e.exports=a;var n=(a.canvas=document.createElement("canvas")).getContext("2d"),i=o([32,126]);function a(t,e){Array.isArray(t)&&(t=t.join(", "));var r,a={},s=16,l=.05;e&&(2===e.length&&"number"==typeof e[0]?r=o(e):Array.isArray(e)?r=e:(e.o?r=o(e.o):e.pairs&&(r=e.pairs),e.fontSize&&(s=e.fontSize),null!=e.threshold&&(l=e.threshold))),r||(r=i),n.font=s+"px "+t;for(var c=0;c<r.length;c++){var u=r[c],h=n.measureText(u[0]).width+n.measureText(u[1]).width,f=n.measureText(u).width;if(Math.abs(h-f)>s*l){var p=(f-h)/s;a[u]=1e3*p}}return a}function o(t){for(var e=[],r=t[0];r<=t[1];r++)for(var n=String.fromCharCode(r),i=t[0];i<t[1];i++){var a=n+String.fromCharCode(i);e.push(a)}return e}a.createPairs=o,a.ascii=i},{}],173:[function(t,e,r){(function(t){var r=!1;if("undefined"!=typeof Float64Array){var n=new Float64Array(1),i=new Uint32Array(n.buffer);if(n[0]=1,r=!0,1072693248===i[1]){e.exports=function(t){return n[0]=t,[i[0],i[1]]},e.exports.pack=function(t,e){return i[0]=t,i[1]=e,n[0]},e.exports.lo=function(t){return n[0]=t,i[0]},e.exports.hi=function(t){return n[0]=t,i[1]}}else if(1072693248===i[0]){e.exports=function(t){return n[0]=t,[i[1],i[0]]},e.exports.pack=function(t,e){return i[1]=t,i[0]=e,n[0]},e.exports.lo=function(t){return n[0]=t,i[1]},e.exports.hi=function(t){return n[0]=t,i[0]}}else r=!1}if(!r){var a=new t(8);e.exports=function(t){return a.writeDoubleLE(t,0,!0),[a.readUInt32LE(0,!0),a.readUInt32LE(4,!0)]},e.exports.pack=function(t,e){return a.writeUInt32LE(t,0,!0),a.writeUInt32LE(e,4,!0),a.readDoubleLE(0,!0)},e.exports.lo=function(t){return a.writeDoubleLE(t,0,!0),a.readUInt32LE(0,!0)},e.exports.hi=function(t){return a.writeDoubleLE(t,0,!0),a.readUInt32LE(4,!0)}}e.exports.sign=function(t){return e.exports.hi(t)>>>31},e.exports.exponent=function(t){return(e.exports.hi(t)<<1>>>21)-1023},e.exports.fraction=function(t){var r=e.exports.lo(t),n=e.exports.hi(t),i=1048575&n;return 2146435072&n&&(i+=1<<20),[r,i]},e.exports.denormalized=function(t){return!(2146435072&e.exports.hi(t))}}).call(this,t("buffer").Buffer)},{buffer:111}],174:[function(t,e,r){var n=t("abs-svg-path"),i=t("normalize-svg-path"),a={M:"moveTo",C:"bezierCurveTo"};e.exports=function(t,e){t.beginPath(),i(n(e)).forEach((function(e){var r=e[0],n=e.slice(1);t[a[r]].apply(t,n)})),t.closePath()}},{"abs-svg-path":65,"normalize-svg-path":471}],175:[function(t,e,r){e.exports=function(t){switch(t){case"int8":return Int8Array;case"int16":return Int16Array;case"int32":return Int32Array;case"uint8":return Uint8Array;case"uint16":return Uint16Array;case"uint32":return Uint32Array;case"float32":return Float32Array;case"float64":return Float64Array;case"array":return Array;case"uint8_clamped":return Uint8ClampedArray}}},{}],176:[function(t,e,r){"use strict";e.exports=function(t,e){switch("undefined"==typeof e&&(e=0),typeof t){case"number":if(t>0)return function(t,e){var r,n;for(r=new Array(t),n=0;n<t;++n)r[n]=e;return r}(0|t,e);break;case"object":if("number"==typeof t.length)return function t(e,r,n){var i=0|e[n];if(i<=0)return[];var a,o=new Array(i);if(n===e.length-1)for(a=0;a<i;++a)o[a]=r;else for(a=0;a<i;++a)o[a]=t(e,r,n+1);return o}(t,e,0)}return[]}},{}],177:[function(t,e,r){"use strict";function n(t,e,r){r=r||2;var n,s,l,c,u,p,d,m=e&&e.length,v=m?e[0]*r:t.length,y=i(t,0,v,r,!0),x=[];if(!y||y.next===y.prev)return x;if(m&&(y=function(t,e,r,n){var o,s,l,c,u,p=[];for(o=0,s=e.length;o<s;o++)l=e[o]*n,c=o<s-1?e[o+1]*n:t.length,(u=i(t,l,c,n,!1))===u.next&&(u.steiner=!0),p.push(g(u));for(p.sort(h),o=0;o<p.length;o++)f(p[o],r),r=a(r,r.next);return r}(t,e,y,r)),t.length>80*r){n=l=t[0],s=c=t[1];for(var b=r;b<v;b+=r)(u=t[b])<n&&(n=u),(p=t[b+1])<s&&(s=p),u>l&&(l=u),p>c&&(c=p);d=0!==(d=Math.max(l-n,c-s))?1/d:0}return o(y,x,r,n,s,d),x}function i(t,e,r,n,i){var a,o;if(i===E(t,e,r,n)>0)for(a=e;a<r;a+=n)o=M(a,t[a],t[a+1],o);else for(a=r-n;a>=e;a-=n)o=M(a,t[a],t[a+1],o);return o&&x(o,o.next)&&(A(o),o=o.next),o}function a(t,e){if(!t)return t;e||(e=t);var r,n=t;do{if(r=!1,n.steiner||!x(n,n.next)&&0!==y(n.prev,n,n.next))n=n.next;else{if(A(n),(n=e=n.prev)===n.next)break;r=!0}}while(r||n!==e);return e}function o(t,e,r,n,i,h,f){if(t){!f&&h&&function(t,e,r,n){var i=t;do{null===i.z&&(i.z=d(i.x,i.y,e,r,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next}while(i!==t);i.prevZ.nextZ=null,i.prevZ=null,function(t){var e,r,n,i,a,o,s,l,c=1;do{for(r=t,t=null,a=null,o=0;r;){for(o++,n=r,s=0,e=0;e<c&&(s++,n=n.nextZ);e++);for(l=c;s>0||l>0&&n;)0!==s&&(0===l||!n||r.z<=n.z)?(i=r,r=r.nextZ,s--):(i=n,n=n.nextZ,l--),a?a.nextZ=i:t=i,i.prevZ=a,a=i;r=n}a.nextZ=null,c*=2}while(o>1)}(i)}(t,n,i,h);for(var p,g,m=t;t.prev!==t.next;)if(p=t.prev,g=t.next,h?l(t,n,i,h):s(t))e.push(p.i/r),e.push(t.i/r),e.push(g.i/r),A(t),t=g.next,m=g.next;else if((t=g)===m){f?1===f?o(t=c(a(t),e,r),e,r,n,i,h,2):2===f&&u(t,e,r,n,i,h):o(a(t),e,r,n,i,h,1);break}}}function s(t){var e=t.prev,r=t,n=t.next;if(y(e,r,n)>=0)return!1;for(var i=t.next.next;i!==t.prev;){if(m(e.x,e.y,r.x,r.y,n.x,n.y,i.x,i.y)&&y(i.prev,i,i.next)>=0)return!1;i=i.next}return!0}function l(t,e,r,n){var i=t.prev,a=t,o=t.next;if(y(i,a,o)>=0)return!1;for(var s=i.x<a.x?i.x<o.x?i.x:o.x:a.x<o.x?a.x:o.x,l=i.y<a.y?i.y<o.y?i.y:o.y:a.y<o.y?a.y:o.y,c=i.x>a.x?i.x>o.x?i.x:o.x:a.x>o.x?a.x:o.x,u=i.y>a.y?i.y>o.y?i.y:o.y:a.y>o.y?a.y:o.y,h=d(s,l,e,r,n),f=d(c,u,e,r,n),p=t.prevZ,g=t.nextZ;p&&p.z>=h&&g&&g.z<=f;){if(p!==t.prev&&p!==t.next&&m(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&y(p.prev,p,p.next)>=0)return!1;if(p=p.prevZ,g!==t.prev&&g!==t.next&&m(i.x,i.y,a.x,a.y,o.x,o.y,g.x,g.y)&&y(g.prev,g,g.next)>=0)return!1;g=g.nextZ}for(;p&&p.z>=h;){if(p!==t.prev&&p!==t.next&&m(i.x,i.y,a.x,a.y,o.x,o.y,p.x,p.y)&&y(p.prev,p,p.next)>=0)return!1;p=p.prevZ}for(;g&&g.z<=f;){if(g!==t.prev&&g!==t.next&&m(i.x,i.y,a.x,a.y,o.x,o.y,g.x,g.y)&&y(g.prev,g,g.next)>=0)return!1;g=g.nextZ}return!0}function c(t,e,r){var n=t;do{var i=n.prev,o=n.next.next;!x(i,o)&&b(i,n,n.next,o)&&T(i,o)&&T(o,i)&&(e.push(i.i/r),e.push(n.i/r),e.push(o.i/r),A(n),A(n.next),n=t=o),n=n.next}while(n!==t);return a(n)}function u(t,e,r,n,i,s){var l=t;do{for(var c=l.next.next;c!==l.prev;){if(l.i!==c.i&&v(l,c)){var u=k(l,c);return l=a(l,l.next),u=a(u,u.next),o(l,e,r,n,i,s),void o(u,e,r,n,i,s)}c=c.next}l=l.next}while(l!==t)}function h(t,e){return t.x-e.x}function f(t,e){if(e=function(t,e){var r,n=e,i=t.x,a=t.y,o=-1/0;do{if(a<=n.y&&a>=n.next.y&&n.next.y!==n.y){var s=n.x+(a-n.y)*(n.next.x-n.x)/(n.next.y-n.y);if(s<=i&&s>o){if(o=s,s===i){if(a===n.y)return n;if(a===n.next.y)return n.next}r=n.x<n.next.x?n:n.next}}n=n.next}while(n!==e);if(!r)return null;if(i===o)return r;var l,c=r,u=r.x,h=r.y,f=1/0;n=r;do{i>=n.x&&n.x>=u&&i!==n.x&&m(a<h?i:o,a,u,h,a<h?o:i,a,n.x,n.y)&&(l=Math.abs(a-n.y)/(i-n.x),T(n,t)&&(l<f||l===f&&(n.x>r.x||n.x===r.x&&p(r,n)))&&(r=n,f=l)),n=n.next}while(n!==c);return r}(t,e)){var r=k(e,t);a(e,e.next),a(r,r.next)}}function p(t,e){return y(t.prev,t,e.prev)<0&&y(e.next,t,t.next)<0}function d(t,e,r,n,i){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t=32767*(t-r)*i)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e=32767*(e-n)*i)|e<<8))|e<<4))|e<<2))|e<<1))<<1}function g(t){var e=t,r=t;do{(e.x<r.x||e.x===r.x&&e.y<r.y)&&(r=e),e=e.next}while(e!==t);return r}function m(t,e,r,n,i,a,o,s){return(i-o)*(e-s)-(t-o)*(a-s)>=0&&(t-o)*(n-s)-(r-o)*(e-s)>=0&&(r-o)*(a-s)-(i-o)*(n-s)>=0}function v(t,e){return t.next.i!==e.i&&t.prev.i!==e.i&&!function(t,e){var r=t;do{if(r.i!==t.i&&r.next.i!==t.i&&r.i!==e.i&&r.next.i!==e.i&&b(r,r.next,t,e))return!0;r=r.next}while(r!==t);return!1}(t,e)&&(T(t,e)&&T(e,t)&&function(t,e){var r=t,n=!1,i=(t.x+e.x)/2,a=(t.y+e.y)/2;do{r.y>a!=r.next.y>a&&r.next.y!==r.y&&i<(r.next.x-r.x)*(a-r.y)/(r.next.y-r.y)+r.x&&(n=!n),r=r.next}while(r!==t);return n}(t,e)&&(y(t.prev,t,e.prev)||y(t,e.prev,e))||x(t,e)&&y(t.prev,t,t.next)>0&&y(e.prev,e,e.next)>0)}function y(t,e,r){return(e.y-t.y)*(r.x-e.x)-(e.x-t.x)*(r.y-e.y)}function x(t,e){return t.x===e.x&&t.y===e.y}function b(t,e,r,n){var i=w(y(t,e,r)),a=w(y(t,e,n)),o=w(y(r,n,t)),s=w(y(r,n,e));return i!==a&&o!==s||(!(0!==i||!_(t,r,e))||(!(0!==a||!_(t,n,e))||(!(0!==o||!_(r,t,n))||!(0!==s||!_(r,e,n)))))}function _(t,e,r){return e.x<=Math.max(t.x,r.x)&&e.x>=Math.min(t.x,r.x)&&e.y<=Math.max(t.y,r.y)&&e.y>=Math.min(t.y,r.y)}function w(t){return t>0?1:t<0?-1:0}function T(t,e){return y(t.prev,t,t.next)<0?y(t,e,t.next)>=0&&y(t,t.prev,e)>=0:y(t,e,t.prev)<0||y(t,t.next,e)<0}function k(t,e){var r=new S(t.i,t.x,t.y),n=new S(e.i,e.x,e.y),i=t.next,a=e.prev;return t.next=e,e.prev=t,r.next=i,i.prev=r,n.next=r,r.prev=n,a.next=n,n.prev=a,n}function M(t,e,r,n){var i=new S(t,e,r);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function A(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function S(t,e,r){this.i=t,this.x=e,this.y=r,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}function E(t,e,r,n){for(var i=0,a=e,o=r-n;a<r;a+=n)i+=(t[o]-t[a])*(t[a+1]+t[o+1]),o=a;return i}e.exports=n,e.exports.default=n,n.deviation=function(t,e,r,n){var i=e&&e.length,a=i?e[0]*r:t.length,o=Math.abs(E(t,0,a,r));if(i)for(var s=0,l=e.length;s<l;s++){var c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(E(t,c,u,r))}var h=0;for(s=0;s<n.length;s+=3){var f=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;h+=Math.abs((t[f]-t[d])*(t[p+1]-t[f+1])-(t[f]-t[p])*(t[d+1]-t[f+1]))}return 0===o&&0===h?0:Math.abs((h-o)/o)},n.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r}},{}],178:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.length;if("number"!=typeof e){e=0;for(var i=0;i<r;++i){var a=t[i];e=Math.max(e,a[0],a[1])}e=1+(0|e)}e|=0;var o=new Array(e);for(i=0;i<e;++i)o[i]=[];for(i=0;i<r;++i){a=t[i];o[a[0]].push(a[1]),o[a[1]].push(a[0])}for(var s=0;s<e;++s)n(o[s],(function(t,e){return t-e}));return o};var n=t("uniq")},{uniq:569}],179:[function(t,e,r){var n=t("strongly-connected-components");e.exports=function(t,e){var r,i=[],a=[],o=[],s={},l=[];function c(t){var e,n,i=!1;for(a.push(t),o[t]=!0,e=0;e<l[t].length;e++)(n=l[t][e])===r?(u(r,a),i=!0):o[n]||(i=c(n));if(i)!function t(e){o[e]=!1,s.hasOwnProperty(e)&&Object.keys(s[e]).forEach((function(r){delete s[e][r],o[r]&&t(r)}))}(t);else for(e=0;e<l[t].length;e++){n=l[t][e];var h=s[n];h||(h={},s[n]=h),h[n]=!0}return a.pop(),i}function u(t,r){var n=[].concat(r).concat(t);e?e(c):i.push(n)}function h(e){!function(e){for(var r=0;r<t.length;r++)r<e&&(t[r]=[]),t[r]=t[r].filter((function(t){return t>=e}))}(e);for(var r,i=n(t).components.filter((function(t){return t.length>1})),a=1/0,o=0;o<i.length;o++)for(var s=0;s<i[o].length;s++)i[o][s]<a&&(a=i[o][s],r=o);var l=i[r];return!!l&&{leastVertex:a,adjList:t.map((function(t,e){return-1===l.indexOf(e)?[]:t.filter((function(t){return-1!==l.indexOf(t)}))}))}}r=0;for(var f=t.length;r<f;){var p=h(r);if(r=p.leastVertex,l=p.adjList){for(var d=0;d<l.length;d++)for(var g=0;g<l[d].length;g++){var m=l[d][g];o[+m]=!1,s[m]={}}c(r),r+=1}else r=f}return e?void 0:i}},{"strongly-connected-components":541}],180:[function(t,e,r){"use strict";var n=t("../../object/valid-value");e.exports=function(){return n(this).length=0,this}},{"../../object/valid-value":211}],181:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Array.from:t("./shim")},{"./is-implemented":182,"./shim":183}],182:[function(t,e,r){"use strict";e.exports=function(){var t,e,r=Array.from;return"function"==typeof r&&(e=r(t=["raz","dwa"]),Boolean(e&&e!==t&&"dwa"===e[1]))}},{}],183:[function(t,e,r){"use strict";var n=t("es6-symbol").iterator,i=t("../../function/is-arguments"),a=t("../../function/is-function"),o=t("../../number/to-pos-integer"),s=t("../../object/valid-callable"),l=t("../../object/valid-value"),c=t("../../object/is-value"),u=t("../../string/is-string"),h=Array.isArray,f=Function.prototype.call,p={configurable:!0,enumerable:!0,writable:!0,value:null},d=Object.defineProperty;e.exports=function(t){var e,r,g,m,v,y,x,b,_,w,T=arguments[1],k=arguments[2];if(t=Object(l(t)),c(T)&&s(T),this&&this!==Array&&a(this))e=this;else{if(!T){if(i(t))return 1!==(v=t.length)?Array.apply(null,t):((m=new Array(1))[0]=t[0],m);if(h(t)){for(m=new Array(v=t.length),r=0;r<v;++r)m[r]=t[r];return m}}m=[]}if(!h(t))if(void 0!==(_=t[n])){for(x=s(_).call(t),e&&(m=new e),b=x.next(),r=0;!b.done;)w=T?f.call(T,k,b.value,r):b.value,e?(p.value=w,d(m,r,p)):m[r]=w,b=x.next(),++r;v=r}else if(u(t)){for(v=t.length,e&&(m=new e),r=0,g=0;r<v;++r)w=t[r],r+1<v&&(y=w.charCodeAt(0))>=55296&&y<=56319&&(w+=t[++r]),w=T?f.call(T,k,w,g):w,e?(p.value=w,d(m,g,p)):m[g]=w,++g;v=g}if(void 0===v)for(v=o(t.length),e&&(m=new e(v)),r=0;r<v;++r)w=T?f.call(T,k,t[r],r):t[r],e?(p.value=w,d(m,r,p)):m[r]=w;return e&&(p.value=null,m.length=v),m}},{"../../function/is-arguments":184,"../../function/is-function":185,"../../number/to-pos-integer":191,"../../object/is-value":200,"../../object/valid-callable":209,"../../object/valid-value":211,"../../string/is-string":215,"es6-symbol":225}],184:[function(t,e,r){"use strict";var n=Object.prototype.toString,i=n.call(function(){return arguments}());e.exports=function(t){return n.call(t)===i}},{}],185:[function(t,e,r){"use strict";var n=Object.prototype.toString,i=RegExp.prototype.test.bind(/^[object [A-Za-z0-9]*Function]$/);e.exports=function(t){return"function"==typeof t&&i(n.call(t))}},{}],186:[function(t,e,r){"use strict";e.exports=function(){}},{}],187:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Math.sign:t("./shim")},{"./is-implemented":188,"./shim":189}],188:[function(t,e,r){"use strict";e.exports=function(){var t=Math.sign;return"function"==typeof t&&(1===t(10)&&-1===t(-20))}},{}],189:[function(t,e,r){"use strict";e.exports=function(t){return t=Number(t),isNaN(t)||0===t?t:t>0?1:-1}},{}],190:[function(t,e,r){"use strict";var n=t("../math/sign"),i=Math.abs,a=Math.floor;e.exports=function(t){return isNaN(t)?0:0!==(t=Number(t))&&isFinite(t)?n(t)*a(i(t)):t}},{"../math/sign":187}],191:[function(t,e,r){"use strict";var n=t("./to-integer"),i=Math.max;e.exports=function(t){return i(0,n(t))}},{"./to-integer":190}],192:[function(t,e,r){"use strict";var n=t("./valid-callable"),i=t("./valid-value"),a=Function.prototype.bind,o=Function.prototype.call,s=Object.keys,l=Object.prototype.propertyIsEnumerable;e.exports=function(t,e){return function(r,c){var u,h=arguments[2],f=arguments[3];return r=Object(i(r)),n(c),u=s(r),f&&u.sort("function"==typeof f?a.call(f,r):void 0),"function"!=typeof t&&(t=u[t]),o.call(t,u,(function(t,n){return l.call(r,t)?o.call(c,h,r[t],t,r,n):e}))}}},{"./valid-callable":209,"./valid-value":211}],193:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Object.assign:t("./shim")},{"./is-implemented":194,"./shim":195}],194:[function(t,e,r){"use strict";e.exports=function(){var t,e=Object.assign;return"function"==typeof e&&(e(t={foo:"raz"},{bar:"dwa"},{trzy:"trzy"}),t.foo+t.bar+t.trzy==="razdwatrzy")}},{}],195:[function(t,e,r){"use strict";var n=t("../keys"),i=t("../valid-value"),a=Math.max;e.exports=function(t,e){var r,o,s,l=a(arguments.length,2);for(t=Object(i(t)),s=function(n){try{t[n]=e[n]}catch(t){r||(r=t)}},o=1;o<l;++o)n(e=arguments[o]).forEach(s);if(void 0!==r)throw r;return t}},{"../keys":201,"../valid-value":211}],196:[function(t,e,r){"use strict";var n=t("../array/from"),i=t("./assign"),a=t("./valid-value");e.exports=function(t){var e=Object(a(t)),r=arguments[1],o=Object(arguments[2]);if(e!==t&&!r)return e;var s={};return r?n(r,(function(e){(o.ensure||e in t)&&(s[e]=t[e])})):i(s,t),s}},{"../array/from":181,"./assign":193,"./valid-value":211}],197:[function(t,e,r){"use strict";var n,i,a,o,s=Object.create;t("./set-prototype-of/is-implemented")()||(n=t("./set-prototype-of/shim")),e.exports=n?1!==n.level?s:(i={},a={},o={configurable:!1,enumerable:!1,writable:!0,value:void 0},Object.getOwnPropertyNames(Object.prototype).forEach((function(t){a[t]="__proto__"!==t?o:{configurable:!0,enumerable:!1,writable:!0,value:void 0}})),Object.defineProperties(i,a),Object.defineProperty(n,"nullPolyfill",{configurable:!1,enumerable:!1,writable:!1,value:i}),function(t,e){return s(null===t?i:t,e)}):s},{"./set-prototype-of/is-implemented":207,"./set-prototype-of/shim":208}],198:[function(t,e,r){"use strict";e.exports=t("./_iterate")("forEach")},{"./_iterate":192}],199:[function(t,e,r){"use strict";var n=t("./is-value"),i={function:!0,object:!0};e.exports=function(t){return n(t)&&i[typeof t]||!1}},{"./is-value":200}],200:[function(t,e,r){"use strict";var n=t("../function/noop")();e.exports=function(t){return t!==n&&null!==t}},{"../function/noop":186}],201:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Object.keys:t("./shim")},{"./is-implemented":202,"./shim":203}],202:[function(t,e,r){"use strict";e.exports=function(){try{return Object.keys("primitive"),!0}catch(t){return!1}}},{}],203:[function(t,e,r){"use strict";var n=t("../is-value"),i=Object.keys;e.exports=function(t){return i(n(t)?Object(t):t)}},{"../is-value":200}],204:[function(t,e,r){"use strict";var n=t("./valid-callable"),i=t("./for-each"),a=Function.prototype.call;e.exports=function(t,e){var r={},o=arguments[2];return n(e),i(t,(function(t,n,i,s){r[n]=a.call(e,o,t,n,i,s)})),r}},{"./for-each":198,"./valid-callable":209}],205:[function(t,e,r){"use strict";var n=t("./is-value"),i=Array.prototype.forEach,a=Object.create,o=function(t,e){var r;for(r in t)e[r]=t[r]};e.exports=function(t){var e=a(null);return i.call(arguments,(function(t){n(t)&&o(Object(t),e)})),e}},{"./is-value":200}],206:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?Object.setPrototypeOf:t("./shim")},{"./is-implemented":207,"./shim":208}],207:[function(t,e,r){"use strict";var n=Object.create,i=Object.getPrototypeOf,a={};e.exports=function(){var t=Object.setPrototypeOf,e=arguments[0]||n;return"function"==typeof t&&i(t(e(null),a))===a}},{}],208:[function(t,e,r){"use strict";var n,i=t("../is-object"),a=t("../valid-value"),o=Object.prototype.isPrototypeOf,s=Object.defineProperty,l={configurable:!0,enumerable:!1,writable:!0,value:void 0};n=function(t,e){if(a(t),null===e||i(e))return t;throw new TypeError("Prototype must be null or an object")},e.exports=function(t){var e,r;return t?(2===t.level?t.set?(r=t.set,e=function(t,e){return r.call(n(t,e),e),t}):e=function(t,e){return n(t,e).__proto__=e,t}:e=function t(e,r){var i;return n(e,r),(i=o.call(t.nullPolyfill,e))&&delete t.nullPolyfill.__proto__,null===r&&(r=t.nullPolyfill),e.__proto__=r,i&&s(t.nullPolyfill,"__proto__",l),e},Object.defineProperty(e,"level",{configurable:!1,enumerable:!1,writable:!1,value:t.level})):null}(function(){var t,e=Object.create(null),r={},n=Object.getOwnPropertyDescriptor(Object.prototype,"__proto__");if(n){try{(t=n.set).call(e,r)}catch(t){}if(Object.getPrototypeOf(e)===r)return{set:t,level:2}}return e.__proto__=r,Object.getPrototypeOf(e)===r?{level:2}:((e={}).__proto__=r,Object.getPrototypeOf(e)===r&&{level:1})}()),t("../create")},{"../create":197,"../is-object":199,"../valid-value":211}],209:[function(t,e,r){"use strict";e.exports=function(t){if("function"!=typeof t)throw new TypeError(t+" is not a function");return t}},{}],210:[function(t,e,r){"use strict";var n=t("./is-object");e.exports=function(t){if(!n(t))throw new TypeError(t+" is not an Object");return t}},{"./is-object":199}],211:[function(t,e,r){"use strict";var n=t("./is-value");e.exports=function(t){if(!n(t))throw new TypeError("Cannot use null or undefined");return t}},{"./is-value":200}],212:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?String.prototype.contains:t("./shim")},{"./is-implemented":213,"./shim":214}],213:[function(t,e,r){"use strict";var n="razdwatrzy";e.exports=function(){return"function"==typeof n.contains&&(!0===n.contains("dwa")&&!1===n.contains("foo"))}},{}],214:[function(t,e,r){"use strict";var n=String.prototype.indexOf;e.exports=function(t){return n.call(this,t,arguments[1])>-1}},{}],215:[function(t,e,r){"use strict";var n=Object.prototype.toString,i=n.call("");e.exports=function(t){return"string"==typeof t||t&&"object"==typeof t&&(t instanceof String||n.call(t)===i)||!1}},{}],216:[function(t,e,r){"use strict";var n=Object.create(null),i=Math.random;e.exports=function(){var t;do{t=i().toString(36).slice(2)}while(n[t]);return t}},{}],217:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/set-prototype-of"),a=t("es5-ext/string/#/contains"),o=t("d"),s=t("es6-symbol"),l=t("./"),c=Object.defineProperty;n=e.exports=function(t,e){if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");l.call(this,t),e=e?a.call(e,"key+value")?"key+value":a.call(e,"key")?"key":"value":"value",c(this,"__kind__",o("",e))},i&&i(n,l),delete n.prototype.constructor,n.prototype=Object.create(l.prototype,{_resolve:o((function(t){return"value"===this.__kind__?this.__list__[t]:"key+value"===this.__kind__?[t,this.__list__[t]]:t}))}),c(n.prototype,s.toStringTag,o("c","Array Iterator"))},{"./":220,d:155,"es5-ext/object/set-prototype-of":206,"es5-ext/string/#/contains":212,"es6-symbol":225}],218:[function(t,e,r){"use strict";var n=t("es5-ext/function/is-arguments"),i=t("es5-ext/object/valid-callable"),a=t("es5-ext/string/is-string"),o=t("./get"),s=Array.isArray,l=Function.prototype.call,c=Array.prototype.some;e.exports=function(t,e){var r,u,h,f,p,d,g,m,v=arguments[2];if(s(t)||n(t)?r="array":a(t)?r="string":t=o(t),i(e),h=function(){f=!0},"array"!==r)if("string"!==r)for(u=t.next();!u.done;){if(l.call(e,v,u.value,h),f)return;u=t.next()}else for(d=t.length,p=0;p<d&&(g=t[p],p+1<d&&(m=g.charCodeAt(0))>=55296&&m<=56319&&(g+=t[++p]),l.call(e,v,g,h),!f);++p);else c.call(t,(function(t){return l.call(e,v,t,h),f}))}},{"./get":219,"es5-ext/function/is-arguments":184,"es5-ext/object/valid-callable":209,"es5-ext/string/is-string":215}],219:[function(t,e,r){"use strict";var n=t("es5-ext/function/is-arguments"),i=t("es5-ext/string/is-string"),a=t("./array"),o=t("./string"),s=t("./valid-iterable"),l=t("es6-symbol").iterator;e.exports=function(t){return"function"==typeof s(t)[l]?t[l]():n(t)?new a(t):i(t)?new o(t):new a(t)}},{"./array":217,"./string":222,"./valid-iterable":223,"es5-ext/function/is-arguments":184,"es5-ext/string/is-string":215,"es6-symbol":225}],220:[function(t,e,r){"use strict";var n,i=t("es5-ext/array/#/clear"),a=t("es5-ext/object/assign"),o=t("es5-ext/object/valid-callable"),s=t("es5-ext/object/valid-value"),l=t("d"),c=t("d/auto-bind"),u=t("es6-symbol"),h=Object.defineProperty,f=Object.defineProperties;e.exports=n=function(t,e){if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");f(this,{__list__:l("w",s(t)),__context__:l("w",e),__nextIndex__:l("w",0)}),e&&(o(e.on),e.on("_add",this._onAdd),e.on("_delete",this._onDelete),e.on("_clear",this._onClear))},delete n.prototype.constructor,f(n.prototype,a({_next:l((function(){var t;if(this.__list__)return this.__redo__&&void 0!==(t=this.__redo__.shift())?t:this.__nextIndex__<this.__list__.length?this.__nextIndex__++:void this._unBind()})),next:l((function(){return this._createResult(this._next())})),_createResult:l((function(t){return void 0===t?{done:!0,value:void 0}:{done:!1,value:this._resolve(t)}})),_resolve:l((function(t){return this.__list__[t]})),_unBind:l((function(){this.__list__=null,delete this.__redo__,this.__context__&&(this.__context__.off("_add",this._onAdd),this.__context__.off("_delete",this._onDelete),this.__context__.off("_clear",this._onClear),this.__context__=null)})),toString:l((function(){return"[object "+(this[u.toStringTag]||"Object")+"]"}))},c({_onAdd:l((function(t){t>=this.__nextIndex__||(++this.__nextIndex__,this.__redo__?(this.__redo__.forEach((function(e,r){e>=t&&(this.__redo__[r]=++e)}),this),this.__redo__.push(t)):h(this,"__redo__",l("c",[t])))})),_onDelete:l((function(t){var e;t>=this.__nextIndex__||(--this.__nextIndex__,this.__redo__&&(-1!==(e=this.__redo__.indexOf(t))&&this.__redo__.splice(e,1),this.__redo__.forEach((function(e,r){e>t&&(this.__redo__[r]=--e)}),this)))})),_onClear:l((function(){this.__redo__&&i.call(this.__redo__),this.__nextIndex__=0}))}))),h(n.prototype,u.iterator,l((function(){return this})))},{d:155,"d/auto-bind":154,"es5-ext/array/#/clear":180,"es5-ext/object/assign":193,"es5-ext/object/valid-callable":209,"es5-ext/object/valid-value":211,"es6-symbol":225}],221:[function(t,e,r){"use strict";var n=t("es5-ext/function/is-arguments"),i=t("es5-ext/object/is-value"),a=t("es5-ext/string/is-string"),o=t("es6-symbol").iterator,s=Array.isArray;e.exports=function(t){return!!i(t)&&(!!s(t)||(!!a(t)||(!!n(t)||"function"==typeof t[o])))}},{"es5-ext/function/is-arguments":184,"es5-ext/object/is-value":200,"es5-ext/string/is-string":215,"es6-symbol":225}],222:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/set-prototype-of"),a=t("d"),o=t("es6-symbol"),s=t("./"),l=Object.defineProperty;n=e.exports=function(t){if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");t=String(t),s.call(this,t),l(this,"__length__",a("",t.length))},i&&i(n,s),delete n.prototype.constructor,n.prototype=Object.create(s.prototype,{_next:a((function(){if(this.__list__)return this.__nextIndex__<this.__length__?this.__nextIndex__++:void this._unBind()})),_resolve:a((function(t){var e,r=this.__list__[t];return this.__nextIndex__===this.__length__?r:(e=r.charCodeAt(0))>=55296&&e<=56319?r+this.__list__[this.__nextIndex__++]:r}))}),l(n.prototype,o.toStringTag,a("c","String Iterator"))},{"./":220,d:155,"es5-ext/object/set-prototype-of":206,"es6-symbol":225}],223:[function(t,e,r){"use strict";var n=t("./is-iterable");e.exports=function(t){if(!n(t))throw new TypeError(t+" is not iterable");return t}},{"./is-iterable":221}],224:[function(t,e,r){(function(n,i){
 /*!
- * The buffer module from node.js, for the browser.
- *
- * @author   Feross Aboukhadijeh <https://feross.org>
- * @license  MIT
+ * @overview es6-promise - a tiny implementation of Promises/A+.
+ * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)
+ * @license   Licensed under MIT license
+ *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE
+ * @version   v4.2.8+1e68dce6
  */
-"use strict";var e=t("base64-js"),n=t("ieee754");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value "'+t+'" is invalid for option "size"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if("number"==typeof t){if("string"==typeof e)throw new TypeError('The "string" argument must be of type string. Received type number');return l(t)}return o(t,e,r)}function o(t,e,r){if("string"==typeof t)return function(t,e){"string"==typeof e&&""!==e||(e="utf8");if(!a.isEncoding(e))throw new TypeError("Unknown encoding: "+e);var r=0|f(t,e),n=i(r),o=n.write(t,e);o!==r&&(n=n.slice(0,o));return n}(t,e);if(ArrayBuffer.isView(t))return c(t);if(null==t)throw TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type "+typeof t);if(B(t,ArrayBuffer)||t&&B(t.buffer,ArrayBuffer))return function(t,e,r){if(e<0||t.byteLength<e)throw new RangeError('"offset" is outside of buffer bounds');if(t.byteLength<e+(r||0))throw new RangeError('"length" is outside of buffer bounds');var n;n=void 0===e&&void 0===r?new Uint8Array(t):void 0===r?new Uint8Array(t,e):new Uint8Array(t,e,r);return n.__proto__=a.prototype,n}(t,e,r);if("number"==typeof t)throw new TypeError('The "value" argument must not be of type number. Received type number');var n=t.valueOf&&t.valueOf();if(null!=n&&n!==t)return a.from(n,e,r);var o=function(t){if(a.isBuffer(t)){var e=0|u(t.length),r=i(e);return 0===r.length||t.copy(r,0,0,e),r}if(void 0!==t.length)return"number"!=typeof t.length||N(t.length)?i(0):c(t);if("Buffer"===t.type&&Array.isArray(t.data))return c(t.data)}(t);if(o)return o;if("undefined"!=typeof Symbol&&null!=Symbol.toPrimitive&&"function"==typeof t[Symbol.toPrimitive])return a.from(t[Symbol.toPrimitive]("string"),e,r);throw new TypeError("The first argument must be one of type string, Buffer, ArrayBuffer, Array, or Array-like Object. Received type "+typeof t)}function s(t){if("number"!=typeof t)throw new TypeError('"size" argument must be of type number');if(t<0)throw new RangeError('The value "'+t+'" is invalid for option "size"')}function l(t){return s(t),i(t<0?0:0|u(t))}function c(t){for(var e=t.length<0?0:0|u(t.length),r=i(e),n=0;n<e;n+=1)r[n]=255&t[n];return r}function u(t){if(t>=2147483647)throw new RangeError("Attempt to allocate Buffer larger than maximum size: 0x"+2147483647..toString(16)+" bytes");return 0|t}function f(t,e){if(a.isBuffer(t))return t.length;if(ArrayBuffer.isView(t)||B(t,ArrayBuffer))return t.byteLength;if("string"!=typeof t)throw new TypeError('The "string" argument must be one of type string, Buffer, or ArrayBuffer. Received type '+typeof t);var r=t.length,n=arguments.length>2&&!0===arguments[2];if(!n&&0===r)return 0;for(var i=!1;;)switch(e){case"ascii":case"latin1":case"binary":return r;case"utf8":case"utf-8":return D(t).length;case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return 2*r;case"hex":return r>>>1;case"base64":return R(t).length;default:if(i)return n?-1:D(t).length;e=(""+e).toLowerCase(),i=!0}}function h(t,e,r){var n=!1;if((void 0===e||e<0)&&(e=0),e>this.length)return"";if((void 0===r||r>this.length)&&(r=this.length),r<=0)return"";if((r>>>=0)<=(e>>>=0))return"";for(t||(t="utf8");;)switch(t){case"hex":return M(this,e,r);case"utf8":case"utf-8":return T(this,e,r);case"ascii":return k(this,e,r);case"latin1":case"binary":return A(this,e,r);case"base64":return w(this,e,r);case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return S(this,e,r);default:if(n)throw new TypeError("Unknown encoding: "+t);t=(t+"").toLowerCase(),n=!0}}function p(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function d(t,e,r,n,i){if(0===t.length)return-1;if("string"==typeof r?(n=r,r=0):r>2147483647?r=2147483647:r<-2147483648&&(r=-2147483648),N(r=+r)&&(r=i?0:t.length-1),r<0&&(r=t.length+r),r>=t.length){if(i)return-1;r=t.length-1}else if(r<0){if(!i)return-1;r=0}if("string"==typeof e&&(e=a.from(e,n)),a.isBuffer(e))return 0===e.length?-1:m(t,e,r,n,i);if("number"==typeof e)return e&=255,"function"==typeof Uint8Array.prototype.indexOf?i?Uint8Array.prototype.indexOf.call(t,e,r):Uint8Array.prototype.lastIndexOf.call(t,e,r):m(t,[e],r,n,i);throw new TypeError("val must be string, number or Buffer")}function m(t,e,r,n,i){var a,o=1,s=t.length,l=e.length;if(void 0!==n&&("ucs2"===(n=String(n).toLowerCase())||"ucs-2"===n||"utf16le"===n||"utf-16le"===n)){if(t.length<2||e.length<2)return-1;o=2,s/=2,l/=2,r/=2}function c(t,e){return 1===o?t[e]:t.readUInt16BE(e*o)}if(i){var u=-1;for(a=r;a<s;a++)if(c(t,a)===c(e,-1===u?0:a-u)){if(-1===u&&(u=a),a-u+1===l)return u*o}else-1!==u&&(a-=a-u),u=-1}else for(r+l>s&&(r=s-l),a=r;a>=0;a--){for(var f=!0,h=0;h<l;h++)if(c(t,a+h)!==c(e,h)){f=!1;break}if(f)return a}return-1}function g(t,e,r,n){r=Number(r)||0;var i=t.length-r;n?(n=Number(n))>i&&(n=i):n=i;var a=e.length;n>a/2&&(n=a/2);for(var o=0;o<n;++o){var s=parseInt(e.substr(2*o,2),16);if(N(s))return o;t[r+o]=s}return o}function v(t,e,r,n){return F(D(e,t.length-r),t,r,n)}function y(t,e,r,n){return F(function(t){for(var e=[],r=0;r<t.length;++r)e.push(255&t.charCodeAt(r));return e}(e),t,r,n)}function x(t,e,r,n){return y(t,e,r,n)}function b(t,e,r,n){return F(R(e),t,r,n)}function _(t,e,r,n){return F(function(t,e){for(var r,n,i,a=[],o=0;o<t.length&&!((e-=2)<0);++o)r=t.charCodeAt(o),n=r>>8,i=r%256,a.push(i),a.push(n);return a}(e,t.length-r),t,r,n)}function w(t,r,n){return 0===r&&n===t.length?e.fromByteArray(t):e.fromByteArray(t.slice(r,n))}function T(t,e,r){r=Math.min(t.length,r);for(var n=[],i=e;i<r;){var a,o,s,l,c=t[i],u=null,f=c>239?4:c>223?3:c>191?2:1;if(i+f<=r)switch(f){case 1:c<128&&(u=c);break;case 2:128==(192&(a=t[i+1]))&&(l=(31&c)<<6|63&a)>127&&(u=l);break;case 3:a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&(l=(15&c)<<12|(63&a)<<6|63&o)>2047&&(l<55296||l>57343)&&(u=l);break;case 4:a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&(l=(15&c)<<18|(63&a)<<12|(63&o)<<6|63&s)>65535&&l<1114112&&(u=l)}null===u?(u=65533,f=1):u>65535&&(u-=65536,n.push(u>>>10&1023|55296),u=56320|1023&u),n.push(u),i+=f}return function(t){var e=t.length;if(e<=4096)return String.fromCharCode.apply(String,t);var r="",n=0;for(;n<e;)r+=String.fromCharCode.apply(String,t.slice(n,n+=4096));return r}(n)}r.kMaxLength=2147483647,a.TYPED_ARRAY_SUPPORT=function(){try{var t=new Uint8Array(1);return t.__proto__={__proto__:Uint8Array.prototype,foo:function(){return 42}},42===t.foo()}catch(t){return!1}}(),a.TYPED_ARRAY_SUPPORT||"undefined"==typeof console||"function"!=typeof console.error||console.error("This browser lacks typed array (Uint8Array) support which is required by `buffer` v5.x. Use `buffer` v4.x if you require old browser support."),Object.defineProperty(a.prototype,"parent",{enumerable:!0,get:function(){if(a.isBuffer(this))return this.buffer}}),Object.defineProperty(a.prototype,"offset",{enumerable:!0,get:function(){if(a.isBuffer(this))return this.byteOffset}}),"undefined"!=typeof Symbol&&null!=Symbol.species&&a[Symbol.species]===a&&Object.defineProperty(a,Symbol.species,{value:null,configurable:!0,enumerable:!1,writable:!1}),a.poolSize=8192,a.from=function(t,e,r){return o(t,e,r)},a.prototype.__proto__=Uint8Array.prototype,a.__proto__=Uint8Array,a.alloc=function(t,e,r){return function(t,e,r){return s(t),t<=0?i(t):void 0!==e?"string"==typeof r?i(t).fill(e,r):i(t).fill(e):i(t)}(t,e,r)},a.allocUnsafe=function(t){return l(t)},a.allocUnsafeSlow=function(t){return l(t)},a.isBuffer=function(t){return null!=t&&!0===t._isBuffer&&t!==a.prototype},a.compare=function(t,e){if(B(t,Uint8Array)&&(t=a.from(t,t.offset,t.byteLength)),B(e,Uint8Array)&&(e=a.from(e,e.offset,e.byteLength)),!a.isBuffer(t)||!a.isBuffer(e))throw new TypeError('The "buf1", "buf2" arguments must be one of type Buffer or Uint8Array');if(t===e)return 0;for(var r=t.length,n=e.length,i=0,o=Math.min(r,n);i<o;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0},a.isEncoding=function(t){switch(String(t).toLowerCase()){case"hex":case"utf8":case"utf-8":case"ascii":case"latin1":case"binary":case"base64":case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return!0;default:return!1}},a.concat=function(t,e){if(!Array.isArray(t))throw new TypeError('"list" argument must be an Array of Buffers');if(0===t.length)return a.alloc(0);var r;if(void 0===e)for(e=0,r=0;r<t.length;++r)e+=t[r].length;var n=a.allocUnsafe(e),i=0;for(r=0;r<t.length;++r){var o=t[r];if(B(o,Uint8Array)&&(o=a.from(o)),!a.isBuffer(o))throw new TypeError('"list" argument must be an Array of Buffers');o.copy(n,i),i+=o.length}return n},a.byteLength=f,a.prototype._isBuffer=!0,a.prototype.swap16=function(){var t=this.length;if(t%2!=0)throw new RangeError("Buffer size must be a multiple of 16-bits");for(var e=0;e<t;e+=2)p(this,e,e+1);return this},a.prototype.swap32=function(){var t=this.length;if(t%4!=0)throw new RangeError("Buffer size must be a multiple of 32-bits");for(var e=0;e<t;e+=4)p(this,e,e+3),p(this,e+1,e+2);return this},a.prototype.swap64=function(){var t=this.length;if(t%8!=0)throw new RangeError("Buffer size must be a multiple of 64-bits");for(var e=0;e<t;e+=8)p(this,e,e+7),p(this,e+1,e+6),p(this,e+2,e+5),p(this,e+3,e+4);return this},a.prototype.toString=function(){var t=this.length;return 0===t?"":0===arguments.length?T(this,0,t):h.apply(this,arguments)},a.prototype.toLocaleString=a.prototype.toString,a.prototype.equals=function(t){if(!a.isBuffer(t))throw new TypeError("Argument must be a Buffer");return this===t||0===a.compare(this,t)},a.prototype.inspect=function(){var t="",e=r.INSPECT_MAX_BYTES;return t=this.toString("hex",0,e).replace(/(.{2})/g,"$1 ").trim(),this.length>e&&(t+=" ... "),"<Buffer "+t+">"},a.prototype.compare=function(t,e,r,n,i){if(B(t,Uint8Array)&&(t=a.from(t,t.offset,t.byteLength)),!a.isBuffer(t))throw new TypeError('The "target" argument must be one of type Buffer or Uint8Array. Received type '+typeof t);if(void 0===e&&(e=0),void 0===r&&(r=t?t.length:0),void 0===n&&(n=0),void 0===i&&(i=this.length),e<0||r>t.length||n<0||i>this.length)throw new RangeError("out of range index");if(n>=i&&e>=r)return 0;if(n>=i)return-1;if(e>=r)return 1;if(this===t)return 0;for(var o=(i>>>=0)-(n>>>=0),s=(r>>>=0)-(e>>>=0),l=Math.min(o,s),c=this.slice(n,i),u=t.slice(e,r),f=0;f<l;++f)if(c[f]!==u[f]){o=c[f],s=u[f];break}return o<s?-1:s<o?1:0},a.prototype.includes=function(t,e,r){return-1!==this.indexOf(t,e,r)},a.prototype.indexOf=function(t,e,r){return d(this,t,e,r,!0)},a.prototype.lastIndexOf=function(t,e,r){return d(this,t,e,r,!1)},a.prototype.write=function(t,e,r,n){if(void 0===e)n="utf8",r=this.length,e=0;else if(void 0===r&&"string"==typeof e)n=e,r=this.length,e=0;else{if(!isFinite(e))throw new Error("Buffer.write(string, encoding, offset[, length]) is no longer supported");e>>>=0,isFinite(r)?(r>>>=0,void 0===n&&(n="utf8")):(n=r,r=void 0)}var i=this.length-e;if((void 0===r||r>i)&&(r=i),t.length>0&&(r<0||e<0)||e>this.length)throw new RangeError("Attempt to write outside buffer bounds");n||(n="utf8");for(var a=!1;;)switch(n){case"hex":return g(this,t,e,r);case"utf8":case"utf-8":return v(this,t,e,r);case"ascii":return y(this,t,e,r);case"latin1":case"binary":return x(this,t,e,r);case"base64":return b(this,t,e,r);case"ucs2":case"ucs-2":case"utf16le":case"utf-16le":return _(this,t,e,r);default:if(a)throw new TypeError("Unknown encoding: "+n);n=(""+n).toLowerCase(),a=!0}},a.prototype.toJSON=function(){return{type:"Buffer",data:Array.prototype.slice.call(this._arr||this,0)}};function k(t,e,r){var n="";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(127&t[i]);return n}function A(t,e,r){var n="";r=Math.min(t.length,r);for(var i=e;i<r;++i)n+=String.fromCharCode(t[i]);return n}function M(t,e,r){var n=t.length;(!e||e<0)&&(e=0),(!r||r<0||r>n)&&(r=n);for(var i="",a=e;a<r;++a)i+=z(t[a]);return i}function S(t,e,r){for(var n=t.slice(e,r),i="",a=0;a<n.length;a+=2)i+=String.fromCharCode(n[a]+256*n[a+1]);return i}function E(t,e,r){if(t%1!=0||t<0)throw new RangeError("offset is not uint");if(t+e>r)throw new RangeError("Trying to access beyond buffer length")}function L(t,e,r,n,i,o){if(!a.isBuffer(t))throw new TypeError('"buffer" argument must be a Buffer instance');if(e>i||e<o)throw new RangeError('"value" argument is out of bounds');if(r+n>t.length)throw new RangeError("Index out of range")}function C(t,e,r,n,i,a){if(r+n>t.length)throw new RangeError("Index out of range");if(r<0)throw new RangeError("Index out of range")}function P(t,e,r,i,a){return e=+e,r>>>=0,a||C(t,0,r,4),n.write(t,e,r,i,23,4),r+4}function I(t,e,r,i,a){return e=+e,r>>>=0,a||C(t,0,r,8),n.write(t,e,r,i,52,8),r+8}a.prototype.slice=function(t,e){var r=this.length;(t=~~t)<0?(t+=r)<0&&(t=0):t>r&&(t=r),(e=void 0===e?r:~~e)<0?(e+=r)<0&&(e=0):e>r&&(e=r),e<t&&(e=t);var n=this.subarray(t,e);return n.__proto__=a.prototype,n},a.prototype.readUIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n},a.prototype.readUIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t+--e],i=1;e>0&&(i*=256);)n+=this[t+--e]*i;return n},a.prototype.readUInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),this[t]},a.prototype.readUInt16LE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]|this[t+1]<<8},a.prototype.readUInt16BE=function(t,e){return t>>>=0,e||E(t,2,this.length),this[t]<<8|this[t+1]},a.prototype.readUInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),(this[t]|this[t+1]<<8|this[t+2]<<16)+16777216*this[t+3]},a.prototype.readUInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),16777216*this[t]+(this[t+1]<<16|this[t+2]<<8|this[t+3])},a.prototype.readIntLE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=this[t],i=1,a=0;++a<e&&(i*=256);)n+=this[t+a]*i;return n>=(i*=128)&&(n-=Math.pow(2,8*e)),n},a.prototype.readIntBE=function(t,e,r){t>>>=0,e>>>=0,r||E(t,e,this.length);for(var n=e,i=1,a=this[t+--n];n>0&&(i*=256);)a+=this[t+--n]*i;return a>=(i*=128)&&(a-=Math.pow(2,8*e)),a},a.prototype.readInt8=function(t,e){return t>>>=0,e||E(t,1,this.length),128&this[t]?-1*(255-this[t]+1):this[t]},a.prototype.readInt16LE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t]|this[t+1]<<8;return 32768&r?4294901760|r:r},a.prototype.readInt16BE=function(t,e){t>>>=0,e||E(t,2,this.length);var r=this[t+1]|this[t]<<8;return 32768&r?4294901760|r:r},a.prototype.readInt32LE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]|this[t+1]<<8|this[t+2]<<16|this[t+3]<<24},a.prototype.readInt32BE=function(t,e){return t>>>=0,e||E(t,4,this.length),this[t]<<24|this[t+1]<<16|this[t+2]<<8|this[t+3]},a.prototype.readFloatLE=function(t,e){return t>>>=0,e||E(t,4,this.length),n.read(this,t,!0,23,4)},a.prototype.readFloatBE=function(t,e){return t>>>=0,e||E(t,4,this.length),n.read(this,t,!1,23,4)},a.prototype.readDoubleLE=function(t,e){return t>>>=0,e||E(t,8,this.length),n.read(this,t,!0,52,8)},a.prototype.readDoubleBE=function(t,e){return t>>>=0,e||E(t,8,this.length),n.read(this,t,!1,52,8)},a.prototype.writeUIntLE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||L(this,t,e,r,Math.pow(2,8*r)-1,0);var i=1,a=0;for(this[e]=255&t;++a<r&&(i*=256);)this[e+a]=t/i&255;return e+r},a.prototype.writeUIntBE=function(t,e,r,n){(t=+t,e>>>=0,r>>>=0,n)||L(this,t,e,r,Math.pow(2,8*r)-1,0);var i=r-1,a=1;for(this[e+i]=255&t;--i>=0&&(a*=256);)this[e+i]=t/a&255;return e+r},a.prototype.writeUInt8=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,1,255,0),this[e]=255&t,e+1},a.prototype.writeUInt16LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,65535,0),this[e]=255&t,this[e+1]=t>>>8,e+2},a.prototype.writeUInt16BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,65535,0),this[e]=t>>>8,this[e+1]=255&t,e+2},a.prototype.writeUInt32LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,4294967295,0),this[e+3]=t>>>24,this[e+2]=t>>>16,this[e+1]=t>>>8,this[e]=255&t,e+4},a.prototype.writeUInt32BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,4294967295,0),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},a.prototype.writeIntLE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);L(this,t,e,r,i-1,-i)}var a=0,o=1,s=0;for(this[e]=255&t;++a<r&&(o*=256);)t<0&&0===s&&0!==this[e+a-1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},a.prototype.writeIntBE=function(t,e,r,n){if(t=+t,e>>>=0,!n){var i=Math.pow(2,8*r-1);L(this,t,e,r,i-1,-i)}var a=r-1,o=1,s=0;for(this[e+a]=255&t;--a>=0&&(o*=256);)t<0&&0===s&&0!==this[e+a+1]&&(s=1),this[e+a]=(t/o>>0)-s&255;return e+r},a.prototype.writeInt8=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,1,127,-128),t<0&&(t=255+t+1),this[e]=255&t,e+1},a.prototype.writeInt16LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,32767,-32768),this[e]=255&t,this[e+1]=t>>>8,e+2},a.prototype.writeInt16BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,2,32767,-32768),this[e]=t>>>8,this[e+1]=255&t,e+2},a.prototype.writeInt32LE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,2147483647,-2147483648),this[e]=255&t,this[e+1]=t>>>8,this[e+2]=t>>>16,this[e+3]=t>>>24,e+4},a.prototype.writeInt32BE=function(t,e,r){return t=+t,e>>>=0,r||L(this,t,e,4,2147483647,-2147483648),t<0&&(t=4294967295+t+1),this[e]=t>>>24,this[e+1]=t>>>16,this[e+2]=t>>>8,this[e+3]=255&t,e+4},a.prototype.writeFloatLE=function(t,e,r){return P(this,t,e,!0,r)},a.prototype.writeFloatBE=function(t,e,r){return P(this,t,e,!1,r)},a.prototype.writeDoubleLE=function(t,e,r){return I(this,t,e,!0,r)},a.prototype.writeDoubleBE=function(t,e,r){return I(this,t,e,!1,r)},a.prototype.copy=function(t,e,r,n){if(!a.isBuffer(t))throw new TypeError("argument should be a Buffer");if(r||(r=0),n||0===n||(n=this.length),e>=t.length&&(e=t.length),e||(e=0),n>0&&n<r&&(n=r),n===r)return 0;if(0===t.length||0===this.length)return 0;if(e<0)throw new RangeError("targetStart out of bounds");if(r<0||r>=this.length)throw new RangeError("Index out of range");if(n<0)throw new RangeError("sourceEnd out of bounds");n>this.length&&(n=this.length),t.length-e<n-r&&(n=t.length-e+r);var i=n-r;if(this===t&&"function"==typeof Uint8Array.prototype.copyWithin)this.copyWithin(e,r,n);else if(this===t&&r<e&&e<n)for(var o=i-1;o>=0;--o)t[o+e]=this[o+r];else Uint8Array.prototype.set.call(t,this.subarray(r,n),e);return i},a.prototype.fill=function(t,e,r,n){if("string"==typeof t){if("string"==typeof e?(n=e,e=0,r=this.length):"string"==typeof r&&(n=r,r=this.length),void 0!==n&&"string"!=typeof n)throw new TypeError("encoding must be a string");if("string"==typeof n&&!a.isEncoding(n))throw new TypeError("Unknown encoding: "+n);if(1===t.length){var i=t.charCodeAt(0);("utf8"===n&&i<128||"latin1"===n)&&(t=i)}}else"number"==typeof t&&(t&=255);if(e<0||this.length<e||this.length<r)throw new RangeError("Out of range index");if(r<=e)return this;var o;if(e>>>=0,r=void 0===r?this.length:r>>>0,t||(t=0),"number"==typeof t)for(o=e;o<r;++o)this[o]=t;else{var s=a.isBuffer(t)?t:a.from(t,n),l=s.length;if(0===l)throw new TypeError('The value "'+t+'" is invalid for argument "value"');for(o=0;o<r-e;++o)this[o+e]=s[o%l]}return this};var O=/[^+/0-9A-Za-z-_]/g;function z(t){return t<16?"0"+t.toString(16):t.toString(16)}function D(t,e){var r;e=e||1/0;for(var n=t.length,i=null,a=[],o=0;o<n;++o){if((r=t.charCodeAt(o))>55295&&r<57344){if(!i){if(r>56319){(e-=3)>-1&&a.push(239,191,189);continue}if(o+1===n){(e-=3)>-1&&a.push(239,191,189);continue}i=r;continue}if(r<56320){(e-=3)>-1&&a.push(239,191,189),i=r;continue}r=65536+(i-55296<<10|r-56320)}else i&&(e-=3)>-1&&a.push(239,191,189);if(i=null,r<128){if((e-=1)<0)break;a.push(r)}else if(r<2048){if((e-=2)<0)break;a.push(r>>6|192,63&r|128)}else if(r<65536){if((e-=3)<0)break;a.push(r>>12|224,r>>6&63|128,63&r|128)}else{if(!(r<1114112))throw new Error("Invalid code point");if((e-=4)<0)break;a.push(r>>18|240,r>>12&63|128,r>>6&63|128,63&r|128)}}return a}function R(t){return e.toByteArray(function(t){if((t=(t=t.split("=")[0]).trim().replace(O,"")).length<2)return"";for(;t.length%4!=0;)t+="=";return t}(t))}function F(t,e,r,n){for(var i=0;i<n&&!(i+r>=e.length||i>=t.length);++i)e[i+r]=t[i];return i}function B(t,e){return t instanceof e||null!=t&&null!=t.constructor&&null!=t.constructor.name&&t.constructor.name===e.name}function N(t){return t!=t}}).call(this)}).call(this,t("buffer").Buffer)},{"base64-js":1,buffer:3,ieee754:4}],4:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}},{}],5:[function(t,e,r){var n,i,a=e.exports={};function o(){throw new Error("setTimeout has not been defined")}function s(){throw new Error("clearTimeout has not been defined")}function l(t){if(n===setTimeout)return setTimeout(t,0);if((n===o||!n)&&setTimeout)return n=setTimeout,setTimeout(t,0);try{return n(t,0)}catch(e){try{return n.call(null,t,0)}catch(e){return n.call(this,t,0)}}}!function(){try{n="function"==typeof setTimeout?setTimeout:o}catch(t){n=o}try{i="function"==typeof clearTimeout?clearTimeout:s}catch(t){i=s}}();var c,u=[],f=!1,h=-1;function p(){f&&c&&(f=!1,c.length?u=c.concat(u):h=-1,u.length&&d())}function d(){if(!f){var t=l(p);f=!0;for(var e=u.length;e;){for(c=u,u=[];++h<e;)c&&c[h].run();h=-1,e=u.length}c=null,f=!1,function(t){if(i===clearTimeout)return clearTimeout(t);if((i===s||!i)&&clearTimeout)return i=clearTimeout,clearTimeout(t);try{i(t)}catch(e){try{return i.call(null,t)}catch(e){return i.call(this,t)}}}(t)}}function m(t,e){this.fun=t,this.array=e}function g(){}a.nextTick=function(t){var e=new Array(arguments.length-1);if(arguments.length>1)for(var r=1;r<arguments.length;r++)e[r-1]=arguments[r];u.push(new m(t,e)),1!==u.length||f||l(d)},m.prototype.run=function(){this.fun.apply(null,this.array)},a.title="browser",a.browser=!0,a.env={},a.argv=[],a.version="",a.versions={},a.on=g,a.addListener=g,a.once=g,a.off=g,a.removeListener=g,a.removeAllListeners=g,a.emit=g,a.prependListener=g,a.prependOnceListener=g,a.listeners=function(t){return[]},a.binding=function(t){throw new Error("process.binding is not supported")},a.cwd=function(){return"/"},a.chdir=function(t){throw new Error("process.chdir is not supported")},a.umask=function(){return 0}},{}],6:[function(t,e,r){e.exports={alpha_shape:t("alpha-shape"),convex_hull:t("convex-hull"),delaunay_triangulate:t("delaunay-triangulate"),gl_cone3d:t("gl-cone3d"),gl_error3d:t("gl-error3d"),gl_heatmap2d:t("gl-heatmap2d"),gl_line3d:t("gl-line3d"),gl_mesh3d:t("gl-mesh3d"),gl_plot2d:t("gl-plot2d"),gl_plot3d:t("gl-plot3d"),gl_pointcloud2d:t("gl-pointcloud2d"),gl_scatter3d:t("gl-scatter3d"),gl_select_box:t("gl-select-box"),gl_spikes2d:t("gl-spikes2d"),gl_streamtube3d:t("gl-streamtube3d"),gl_surface3d:t("gl-surface3d"),ndarray:t("ndarray"),ndarray_linear_interpolate:t("ndarray-linear-interpolate")}},{"alpha-shape":12,"convex-hull":58,"delaunay-triangulate":63,"gl-cone3d":79,"gl-error3d":84,"gl-heatmap2d":88,"gl-line3d":91,"gl-mesh3d":112,"gl-plot2d":118,"gl-plot3d":121,"gl-pointcloud2d":123,"gl-scatter3d":128,"gl-select-box":130,"gl-spikes2d":139,"gl-streamtube3d":143,"gl-surface3d":145,ndarray:259,"ndarray-linear-interpolate":253}],7:[function(t,e,r){"use strict";e.exports=function(t){var e=(t=t||{}).eye||[0,0,1],r=t.center||[0,0,0],s=t.up||[0,1,0],l=t.distanceLimits||[0,1/0],c=t.mode||"turntable",u=n(),f=i(),h=a();return u.setDistanceLimits(l[0],l[1]),u.lookAt(0,e,r,s),f.setDistanceLimits(l[0],l[1]),f.lookAt(0,e,r,s),h.setDistanceLimits(l[0],l[1]),h.lookAt(0,e,r,s),new o({turntable:u,orbit:f,matrix:h},c)};var n=t("turntable-camera-controller"),i=t("orbit-camera-controller"),a=t("matrix-camera-controller");function o(t,e){this._controllerNames=Object.keys(t),this._controllerList=this._controllerNames.map((function(e){return t[e]})),this._mode=e,this._active=t[e],this._active||(this._mode="turntable",this._active=t.turntable),this.modes=this._controllerNames,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}var s=o.prototype;s.flush=function(t){for(var e=this._controllerList,r=0;r<e.length;++r)e[r].flush(t)},s.idle=function(t){for(var e=this._controllerList,r=0;r<e.length;++r)e[r].idle(t)},s.lookAt=function(t,e,r,n){for(var i=this._controllerList,a=0;a<i.length;++a)i[a].lookAt(t,e,r,n)},s.rotate=function(t,e,r,n){for(var i=this._controllerList,a=0;a<i.length;++a)i[a].rotate(t,e,r,n)},s.pan=function(t,e,r,n){for(var i=this._controllerList,a=0;a<i.length;++a)i[a].pan(t,e,r,n)},s.translate=function(t,e,r,n){for(var i=this._controllerList,a=0;a<i.length;++a)i[a].translate(t,e,r,n)},s.setMatrix=function(t,e){for(var r=this._controllerList,n=0;n<r.length;++n)r[n].setMatrix(t,e)},s.setDistanceLimits=function(t,e){for(var r=this._controllerList,n=0;n<r.length;++n)r[n].setDistanceLimits(t,e)},s.setDistance=function(t,e){for(var r=this._controllerList,n=0;n<r.length;++n)r[n].setDistance(t,e)},s.recalcMatrix=function(t){this._active.recalcMatrix(t)},s.getDistance=function(t){return this._active.getDistance(t)},s.getDistanceLimits=function(t){return this._active.getDistanceLimits(t)},s.lastT=function(){return this._active.lastT()},s.setMode=function(t){if(t!==this._mode){var e=this._controllerNames.indexOf(t);if(!(e<0)){var r=this._active,n=this._controllerList[e],i=Math.max(r.lastT(),n.lastT());r.recalcMatrix(i),n.setMatrix(i,r.computedMatrix),this._active=n,this._mode=t,this.computedMatrix=this._active.computedMatrix,this.computedEye=this._active.computedEye,this.computedUp=this._active.computedUp,this.computedCenter=this._active.computedCenter,this.computedRadius=this._active.computedRadius}}},s.getMode=function(){return this._mode}},{"matrix-camera-controller":245,"orbit-camera-controller":263,"turntable-camera-controller":305}],8:[function(t,e,r){"use strict";var n="undefined"==typeof WeakMap?t("weak-map"):WeakMap,i=t("gl-buffer"),a=t("gl-vao"),o=new n;e.exports=function(t){var e=o.get(t),r=e&&(e._triangleBuffer.handle||e._triangleBuffer.buffer);if(!r||!t.isBuffer(r)){var n=i(t,new Float32Array([-1,-1,-1,4,4,-1]));(e=a(t,[{buffer:n,type:t.FLOAT,size:2}]))._triangleBuffer=n,o.set(t,e)}e.bind(),t.drawArrays(t.TRIANGLES,0,3),e.unbind()}},{"gl-buffer":78,"gl-vao":150,"weak-map":313}],9:[function(t,e,r){var n=t("pad-left");e.exports=function(t,e,r){e="number"==typeof e?e:1,r=r||": ";var i=t.split(/\r?\n/),a=String(i.length+e-1).length;return i.map((function(t,i){var o=i+e,s=String(o).length;return n(o,a-s)+r+t})).join("\n")}},{"pad-left":264}],10:[function(t,e,r){"use strict";e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[0];for(var r=t[0].length,n=[t[0]],a=[0],o=1;o<e;++o)if(n.push(t[o]),i(n,r)){if(a.push(o),a.length===r+1)return a}else n.pop();return a};var n=t("robust-orientation");function i(t,e){for(var r=new Array(e+1),i=0;i<t.length;++i)r[i]=t[i];for(i=0;i<=t.length;++i){for(var a=t.length;a<=e;++a){for(var o=new Array(e),s=0;s<e;++s)o[s]=Math.pow(a+1-i,s);r[a]=o}if(n.apply(void 0,r))return!0}return!1}},{"robust-orientation":284}],11:[function(t,e,r){"use strict";e.exports=function(t,e){return n(e).filter((function(r){for(var n=new Array(r.length),a=0;a<r.length;++a)n[a]=e[r[a]];return i(n)*t<1}))};var n=t("delaunay-triangulate"),i=t("circumradius")},{circumradius:49,"delaunay-triangulate":63}],12:[function(t,e,r){e.exports=function(t,e){return i(n(t,e))};var n=t("alpha-complex"),i=t("simplicial-complex-boundary")},{"alpha-complex":11,"simplicial-complex-boundary":290}],13:[function(t,e,r){e.exports=function(t){return atob(t)}},{}],14:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=e.length,a=new Array(r+1),o=0;o<r;++o){for(var s=new Array(r+1),l=0;l<=r;++l)s[l]=t[l][o];a[o]=s}a[r]=new Array(r+1);for(o=0;o<=r;++o)a[r][o]=1;var c=new Array(r+1);for(o=0;o<r;++o)c[o]=e[o];c[r]=1;var u=n(a,c),f=i(u[r+1]);0===f&&(f=1);var h=new Array(r+1);for(o=0;o<=r;++o)h[o]=i(u[o])/f;return h};var n=t("robust-linear-solve");function i(t){for(var e=0,r=0;r<t.length;++r)e+=t[r];return e}},{"robust-linear-solve":283}],15:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[1]).add(e[0].mul(t[1])),t[1].mul(e[1]))}},{"./lib/rationalize":25}],16:[function(t,e,r){"use strict";e.exports=function(t,e){return t[0].mul(e[1]).cmp(e[0].mul(t[1]))}},{}],17:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[1]),t[1].mul(e[0]))}},{"./lib/rationalize":25}],18:[function(t,e,r){"use strict";var n=t("./is-rat"),i=t("./lib/is-bn"),a=t("./lib/num-to-bn"),o=t("./lib/str-to-bn"),s=t("./lib/rationalize"),l=t("./div");e.exports=function t(e,r){if(n(e))return r?l(e,t(r)):[e[0].clone(),e[1].clone()];var c,u,f=0;if(i(e))c=e.clone();else if("string"==typeof e)c=o(e);else{if(0===e)return[a(0),a(1)];if(e===Math.floor(e))c=a(e);else{for(;e!==Math.floor(e);)e*=Math.pow(2,256),f-=256;c=a(e)}}if(n(r))c.mul(r[1]),u=r[0].clone();else if(i(r))u=r.clone();else if("string"==typeof r)u=o(r);else if(r)if(r===Math.floor(r))u=a(r);else{for(;r!==Math.floor(r);)r*=Math.pow(2,256),f+=256;u=a(r)}else u=a(1);f>0?c=c.ushln(f):f<0&&(u=u.ushln(-f));return s(c,u)}},{"./div":17,"./is-rat":19,"./lib/is-bn":23,"./lib/num-to-bn":24,"./lib/rationalize":25,"./lib/str-to-bn":26}],19:[function(t,e,r){"use strict";var n=t("./lib/is-bn");e.exports=function(t){return Array.isArray(t)&&2===t.length&&n(t[0])&&n(t[1])}},{"./lib/is-bn":23}],20:[function(t,e,r){"use strict";var n=t("bn.js");e.exports=function(t){return t.cmp(new n(0))}},{"bn.js":33}],21:[function(t,e,r){"use strict";var n=t("./bn-sign");e.exports=function(t){var e=t.length,r=t.words,i=0;if(1===e)i=r[0];else if(2===e)i=r[0]+67108864*r[1];else for(var a=0;a<e;a++){var o=r[a];i+=o*Math.pow(67108864,a)}return n(t)*i}},{"./bn-sign":20}],22:[function(t,e,r){"use strict";var n=t("double-bits"),i=t("bit-twiddle").countTrailingZeros;e.exports=function(t){var e=i(n.lo(t));if(e<32)return e;var r=i(n.hi(t));if(r>20)return 52;return r+32}},{"bit-twiddle":32,"double-bits":64}],23:[function(t,e,r){"use strict";t("bn.js");e.exports=function(t){return t&&"object"==typeof t&&Boolean(t.words)}},{"bn.js":33}],24:[function(t,e,r){"use strict";var n=t("bn.js"),i=t("double-bits");e.exports=function(t){var e=i.exponent(t);return e<52?new n(t):new n(t*Math.pow(2,52-e)).ushln(e-52)}},{"bn.js":33,"double-bits":64}],25:[function(t,e,r){"use strict";var n=t("./num-to-bn"),i=t("./bn-sign");e.exports=function(t,e){var r=i(t),a=i(e);if(0===r)return[n(0),n(1)];if(0===a)return[n(0),n(0)];a<0&&(t=t.neg(),e=e.neg());var o=t.gcd(e);if(o.cmpn(1))return[t.div(o),e.div(o)];return[t,e]}},{"./bn-sign":20,"./num-to-bn":24}],26:[function(t,e,r){"use strict";var n=t("bn.js");e.exports=function(t){return new n(t)}},{"bn.js":33}],27:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[0]),t[1].mul(e[1]))}},{"./lib/rationalize":25}],28:[function(t,e,r){"use strict";var n=t("./lib/bn-sign");e.exports=function(t){return n(t[0])*n(t[1])}},{"./lib/bn-sign":20}],29:[function(t,e,r){"use strict";var n=t("./lib/rationalize");e.exports=function(t,e){return n(t[0].mul(e[1]).sub(t[1].mul(e[0])),t[1].mul(e[1]))}},{"./lib/rationalize":25}],30:[function(t,e,r){"use strict";var n=t("./lib/bn-to-num"),i=t("./lib/ctz");e.exports=function(t){var e=t[0],r=t[1];if(0===e.cmpn(0))return 0;var a=e.abs().divmod(r.abs()),o=a.div,s=n(o),l=a.mod,c=e.negative!==r.negative?-1:1;if(0===l.cmpn(0))return c*s;if(s){var u=i(s)+4,f=n(l.ushln(u).divRound(r));return c*(s+f*Math.pow(2,-u))}var h=r.bitLength()-l.bitLength()+53;f=n(l.ushln(h).divRound(r));return h<1023?c*f*Math.pow(2,-h):(f*=Math.pow(2,-1023),c*f*Math.pow(2,1023-h))}},{"./lib/bn-to-num":21,"./lib/ctz":22}],31:[function(t,e,r){"use strict";function n(t,e,r,n,i){for(var a=i+1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)>=0?(a=o,i=o-1):n=o+1}return a}function i(t,e,r,n,i){for(var a=i+1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)>0?(a=o,i=o-1):n=o+1}return a}function a(t,e,r,n,i){for(var a=n-1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)<0?(a=o,n=o+1):i=o-1}return a}function o(t,e,r,n,i){for(var a=n-1;n<=i;){var o=n+i>>>1,s=t[o];(void 0!==r?r(s,e):s-e)<=0?(a=o,n=o+1):i=o-1}return a}function s(t,e,r,n,i){for(;n<=i;){var a=n+i>>>1,o=t[a],s=void 0!==r?r(o,e):o-e;if(0===s)return a;s<=0?n=a+1:i=a-1}return-1}function l(t,e,r,n,i,a){return"function"==typeof r?a(t,e,r,void 0===n?0:0|n,void 0===i?t.length-1:0|i):a(t,e,void 0,void 0===r?0:0|r,void 0===n?t.length-1:0|n)}e.exports={ge:function(t,e,r,i,a){return l(t,e,r,i,a,n)},gt:function(t,e,r,n,a){return l(t,e,r,n,a,i)},lt:function(t,e,r,n,i){return l(t,e,r,n,i,a)},le:function(t,e,r,n,i){return l(t,e,r,n,i,o)},eq:function(t,e,r,n,i){return l(t,e,r,n,i,s)}}},{}],32:[function(t,e,r){"use strict";function n(t){var e=32;return(t&=-t)&&e--,65535&t&&(e-=16),16711935&t&&(e-=8),252645135&t&&(e-=4),858993459&t&&(e-=2),1431655765&t&&(e-=1),e}r.INT_BITS=32,r.INT_MAX=2147483647,r.INT_MIN=-1<<31,r.sign=function(t){return(t>0)-(t<0)},r.abs=function(t){var e=t>>31;return(t^e)-e},r.min=function(t,e){return e^(t^e)&-(t<e)},r.max=function(t,e){return t^(t^e)&-(t<e)},r.isPow2=function(t){return!(t&t-1||!t)},r.log2=function(t){var e,r;return e=(t>65535)<<4,e|=r=((t>>>=e)>255)<<3,e|=r=((t>>>=r)>15)<<2,(e|=r=((t>>>=r)>3)<<1)|(t>>>=r)>>1},r.log10=function(t){return t>=1e9?9:t>=1e8?8:t>=1e7?7:t>=1e6?6:t>=1e5?5:t>=1e4?4:t>=1e3?3:t>=100?2:t>=10?1:0},r.popCount=function(t){return 16843009*((t=(858993459&(t-=t>>>1&1431655765))+(t>>>2&858993459))+(t>>>4)&252645135)>>>24},r.countTrailingZeros=n,r.nextPow2=function(t){return t+=0===t,--t,t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)+1},r.prevPow2=function(t){return t|=t>>>1,t|=t>>>2,t|=t>>>4,t|=t>>>8,(t|=t>>>16)-(t>>>1)},r.parity=function(t){return t^=t>>>16,t^=t>>>8,t^=t>>>4,27030>>>(t&=15)&1};var i=new Array(256);!function(t){for(var e=0;e<256;++e){var r=e,n=e,i=7;for(r>>>=1;r;r>>>=1)n<<=1,n|=1&r,--i;t[e]=n<<i&255}}(i),r.reverse=function(t){return i[255&t]<<24|i[t>>>8&255]<<16|i[t>>>16&255]<<8|i[t>>>24&255]},r.interleave2=function(t,e){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t&=65535)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e&=65535)|e<<8))|e<<4))|e<<2))|e<<1))<<1},r.deinterleave2=function(t,e){return(t=65535&((t=16711935&((t=252645135&((t=858993459&((t=t>>>e&1431655765)|t>>>1))|t>>>2))|t>>>4))|t>>>16))<<16>>16},r.interleave3=function(t,e,r){return t=1227133513&((t=3272356035&((t=251719695&((t=4278190335&((t&=1023)|t<<16))|t<<8))|t<<4))|t<<2),(t|=(e=1227133513&((e=3272356035&((e=251719695&((e=4278190335&((e&=1023)|e<<16))|e<<8))|e<<4))|e<<2))<<1)|(r=1227133513&((r=3272356035&((r=251719695&((r=4278190335&((r&=1023)|r<<16))|r<<8))|r<<4))|r<<2))<<2},r.deinterleave3=function(t,e){return(t=1023&((t=4278190335&((t=251719695&((t=3272356035&((t=t>>>e&1227133513)|t>>>2))|t>>>4))|t>>>8))|t>>>16))<<22>>22},r.nextCombination=function(t){var e=t|t-1;return e+1|(~e&-~e)-1>>>n(t)+1}},{}],33:[function(t,e,r){!function(e,r){"use strict";function n(t,e){if(!t)throw new Error(e||"Assertion failed")}function i(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}function a(t,e,r){if(a.isBN(t))return t;this.negative=0,this.words=null,this.length=0,this.red=null,null!==t&&("le"!==e&&"be"!==e||(r=e,e=10),this._init(t||0,e||10,r||"be"))}var o;"object"==typeof e?e.exports=a:r.BN=a,a.BN=a,a.wordSize=26;try{o="undefined"!=typeof window&&void 0!==window.Buffer?window.Buffer:t("buffer").Buffer}catch(t){}function s(t,e){var r=t.charCodeAt(e);return r>=65&&r<=70?r-55:r>=97&&r<=102?r-87:r-48&15}function l(t,e,r){var n=s(t,r);return r-1>=e&&(n|=s(t,r-1)<<4),n}function c(t,e,r,n){for(var i=0,a=Math.min(t.length,r),o=e;o<a;o++){var s=t.charCodeAt(o)-48;i*=n,i+=s>=49?s-49+10:s>=17?s-17+10:s}return i}a.isBN=function(t){return t instanceof a||null!==t&&"object"==typeof t&&t.constructor.wordSize===a.wordSize&&Array.isArray(t.words)},a.max=function(t,e){return t.cmp(e)>0?t:e},a.min=function(t,e){return t.cmp(e)<0?t:e},a.prototype._init=function(t,e,r){if("number"==typeof t)return this._initNumber(t,e,r);if("object"==typeof t)return this._initArray(t,e,r);"hex"===e&&(e=16),n(e===(0|e)&&e>=2&&e<=36);var i=0;"-"===(t=t.toString().replace(/\s+/g,""))[0]&&(i++,this.negative=1),i<t.length&&(16===e?this._parseHex(t,i,r):(this._parseBase(t,e,i),"le"===r&&this._initArray(this.toArray(),e,r)))},a.prototype._initNumber=function(t,e,r){t<0&&(this.negative=1,t=-t),t<67108864?(this.words=[67108863&t],this.length=1):t<4503599627370496?(this.words=[67108863&t,t/67108864&67108863],this.length=2):(n(t<9007199254740992),this.words=[67108863&t,t/67108864&67108863,1],this.length=3),"le"===r&&this._initArray(this.toArray(),e,r)},a.prototype._initArray=function(t,e,r){if(n("number"==typeof t.length),t.length<=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var i=0;i<this.length;i++)this.words[i]=0;var a,o,s=0;if("be"===r)for(i=t.length-1,a=0;i>=0;i-=3)o=t[i]|t[i-1]<<8|t[i-2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);else if("le"===r)for(i=0,a=0;i<t.length;i+=3)o=t[i]|t[i+1]<<8|t[i+2]<<16,this.words[a]|=o<<s&67108863,this.words[a+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,a++);return this.strip()},a.prototype._parseHex=function(t,e,r){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var n=0;n<this.length;n++)this.words[n]=0;var i,a=0,o=0;if("be"===r)for(n=t.length-1;n>=e;n-=2)i=l(t,e,n)<<a,this.words[o]|=67108863&i,a>=18?(a-=18,o+=1,this.words[o]|=i>>>26):a+=8;else for(n=(t.length-e)%2==0?e+1:e;n<t.length;n+=2)i=l(t,e,n)<<a,this.words[o]|=67108863&i,a>=18?(a-=18,o+=1,this.words[o]|=i>>>26):a+=8;this.strip()},a.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i<=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,o=a%n,s=Math.min(a,a-o)+r,l=0,u=r;u<s;u+=n)l=c(t,u,u+n,e),this.imuln(i),this.words[0]+l<67108864?this.words[0]+=l:this._iaddn(l);if(0!==o){var f=1;for(l=c(t,u,t.length,e),u=0;u<o;u++)f*=e;this.imuln(f),this.words[0]+l<67108864?this.words[0]+=l:this._iaddn(l)}this.strip()},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},a.prototype.inspect=function(){return(this.red?"<BN-R: ":"<BN: ")+this.toString(16)+">"};var u=["","0","00","000","0000","00000","000000","0000000","00000000","000000000","0000000000","00000000000","000000000000","0000000000000","00000000000000","000000000000000","0000000000000000","00000000000000000","000000000000000000","0000000000000000000","00000000000000000000","000000000000000000000","0000000000000000000000","00000000000000000000000","000000000000000000000000","0000000000000000000000000"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,f=67108863&l,h=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=h;p++){var d=c-p|0;u+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[c]=0|f,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||"hex"===t){r="";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!==(a=s>>>24-i&16777215)||o!==this.length-1?u[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}if(t===(0|t)&&t>=2&&t<=36){var c=f[t],p=h[t];r="";var d=this.clone();for(d.negative=0;!d.isZero();){var m=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?m+r:u[c-m.length]+m+r}for(this.isZero()&&(r="0"+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}n(!1,"Base should be between 2 and 36")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,c=new t(a),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<a;s++)c[s]=0}else{for(s=0;s<a-i;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[a-s-1]=o}return c},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n("number"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n("number"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function b(){y.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function _(){y.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function w(){y.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function T(t){if("string"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),"modulus must be greater than 1"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){"use strict";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){"use strict";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return"function"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error("box-intersect: Invalid arguments")}};var n,i=t("typedarray-pool"),a=t("./lib/sweep"),o=t("./lib/intersect");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":37,"./lib/sweep":41,"typedarray-pool":308}],36:[function(t,e,r){"use strict";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return M}}}}(t,e,r,i,a,o,s,l,c,u,f):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(g,b);if(void 0!==M)return M}}}}(t,e,r,i,a,o,s,l,c,u,f):n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=u[h];t:for(var g=n,v=f*n;g<i;++g,v+=f){var y=a[e+v],x=a[e+v+t],b=o[g];if(!(d<=y||x<d)){for(var _=e+1;_<t;++_){var w=a[_+v],T=a[_+t+v],k=c[_+p],A=c[_+t+p];if(T<k||A<w)continue t}var M=r(m,b);if(void 0!==M)return M}}}}(t,e,r,i,a,o,s,l,c,u,f):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=u[h];t:for(var g=n,v=f*n;g<i;++g,v+=f){var y=a[e+v],x=a[e+v+t],b=o[g];if(!(d<y||x<d)){for(var _=e+1;_<t;++_){var w=a[_+v],T=a[_+t+v],k=c[_+p],A=c[_+t+p];if(T<k||A<w)continue t}var M=r(b,m);if(void 0!==M)return M}}}}(t,e,r,i,a,o,s,l,c,u,f)}}r.partial=n(!1),r.full=n(!0)},{}],37:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,u,w,T,k,A){!function(t,e){var r=8*i.log2(e+1)*(t+1)|0,a=i.nextPow2(6*r);v.length<a&&(n.free(v),v=n.mallocInt32(a));var o=i.nextPow2(2*r);y.length<o&&(n.free(y),y=n.mallocDouble(o))}(t,a+T);var M,S=0,E=2*t;x(S++,0,0,a,0,T,r?16:0,-1/0,1/0),r||x(S++,0,0,T,0,a,1,-1/0,1/0);for(;S>0;){var L=6*(S-=1),C=v[L],P=v[L+1],I=v[L+2],O=v[L+3],z=v[L+4],D=v[L+5],R=2*S,F=y[R],B=y[R+1],N=1&D,j=!!(16&D),U=u,V=w,H=k,q=A;if(N&&(U=k,V=A,H=u,q=w),!(2&D&&(I=p(t,C,P,I,U,V,B),P>=I)||4&D&&(P=d(t,C,P,I,U,V,F))>=I)){var G=I-P,Y=z-O;if(j){if(t*G*(G+Y)<1<<22){if(void 0!==(M=l.scanComplete(t,C,e,P,I,U,V,O,z,H,q)))return M;continue}}else{if(t*Math.min(G,Y)<128){if(void 0!==(M=o(t,C,e,N,P,I,U,V,O,z,H,q)))return M;continue}if(t*G*Y<1<<22){if(void 0!==(M=l.scanBipartite(t,C,e,N,P,I,U,V,O,z,H,q)))return M;continue}}var W=f(t,C,P,I,U,V,F,B);if(P<W)if(t*(W-P)<128){if(void 0!==(M=s(t,C+1,e,P,W,U,V,O,z,H,q)))return M}else if(C===t-2){if(void 0!==(M=N?l.sweepBipartite(t,e,O,z,H,q,P,W,U,V):l.sweepBipartite(t,e,P,W,U,V,O,z,H,q)))return M}else x(S++,C+1,P,W,O,z,N,-1/0,1/0),x(S++,C+1,O,z,P,W,1^N,-1/0,1/0);if(W<I){var X=c(t,C,O,z,H,q),Z=H[E*X+C],J=h(t,C,X,z,H,q,Z);if(J<z&&x(S++,C,W,I,J,z,(4|N)+(j?16:0),Z,B),O<X&&x(S++,C,W,I,O,X,(2|N)+(j?16:0),F,Z),X+1===J){if(void 0!==(M=j?_(t,C,e,W,I,U,V,X,H,q[X]):b(t,C,e,N,W,I,U,V,X,H,q[X])))return M}else if(X<J){var K;if(j){if(K=m(t,C,W,I,U,V,Z),W<K){var Q=h(t,C,W,K,U,V,Z);if(C===t-2){if(W<Q&&void 0!==(M=l.sweepComplete(t,e,W,Q,U,V,X,J,H,q)))return M;if(Q<K&&void 0!==(M=l.sweepBipartite(t,e,Q,K,U,V,X,J,H,q)))return M}else W<Q&&x(S++,C+1,W,Q,X,J,16,-1/0,1/0),Q<K&&(x(S++,C+1,Q,K,X,J,0,-1/0,1/0),x(S++,C+1,X,J,Q,K,1,-1/0,1/0))}}else K=N?g(t,C,W,I,U,V,Z):m(t,C,W,I,U,V,Z),W<K&&(C===t-2?M=N?l.sweepBipartite(t,e,X,J,H,q,W,K,U,V):l.sweepBipartite(t,e,W,K,U,V,X,J,H,q):(x(S++,C+1,W,K,X,J,N,-1/0,1/0),x(S++,C+1,X,J,W,K,1^N,-1/0,1/0)))}}}}};var n=t("typedarray-pool"),i=t("bit-twiddle"),a=t("./brute"),o=a.partial,s=a.full,l=t("./sweep"),c=t("./median"),u=t("./partition"),f=u("!(lo>=p0)&&!(p1>=hi)"),h=u("lo===p0"),p=u("lo<p0"),d=u("hi<=p0"),m=u("lo<=p0&&p0<=hi"),g=u("lo<p0&&p0<=hi"),v=n.mallocInt32(1024),y=n.mallocDouble(1024);function x(t,e,r,n,i,a,o,s,l){var c=6*t;v[c]=e,v[c+1]=r,v[c+2]=n,v[c+3]=i,v[c+4]=a,v[c+5]=o;var u=2*t;y[u]=s,y[u+1]=l}function b(t,e,r,n,i,a,o,s,l,c,u){var f=2*t,h=l*f,p=c[h+e];t:for(var d=i,m=i*f;d<a;++d,m+=f){var g=o[m+e],v=o[m+e+t];if(!(p<g||v<p)&&(!n||p!==g)){for(var y,x=s[d],b=e+1;b<t;++b){g=o[m+b],v=o[m+b+t];var _=c[h+b],w=c[h+b+t];if(v<_||w<g)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function _(t,e,r,n,i,a,o,s,l,c){var u=2*t,f=s*u,h=l[f+e];t:for(var p=n,d=n*u;p<i;++p,d+=u){var m=o[p];if(m!==c){var g=a[d+e],v=a[d+e+t];if(!(h<g||v<h)){for(var y=e+1;y<t;++y){g=a[d+y],v=a[d+y+t];var x=l[f+y],b=l[f+y+t];if(v<x||b<g)continue t}var _=r(m,c);if(void 0!==_)return _}}}}},{"./brute":36,"./median":38,"./partition":39,"./sweep":41,"bit-twiddle":32,"typedarray-pool":308}],38:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,o,s){if(a<=r+1)return r;var l=r,c=a,u=a+r>>>1,f=2*t,h=u,p=o[f*u+e];for(;l<c;){if(c-l<8){i(t,e,l,c,o,s),p=o[f*u+e];break}var d=c-l,m=Math.random()*d+l|0,g=o[f*m+e],v=Math.random()*d+l|0,y=o[f*v+e],x=Math.random()*d+l|0,b=o[f*x+e];g<=y?b>=y?(h=v,p=y):g>=b?(h=m,p=g):(h=x,p=b):y>=b?(h=v,p=y):b>=g?(h=m,p=g):(h=x,p=b);for(var _=f*(c-1),w=f*h,T=0;T<f;++T,++_,++w){var k=o[_];o[_]=o[w],o[w]=k}var A=s[c-1];s[c-1]=s[h],s[h]=A,h=n(t,e,l,c-1,o,s,p);for(_=f*(c-1),w=f*h,T=0;T<f;++T,++_,++w){k=o[_];o[_]=o[w],o[w]=k}A=s[c-1];if(s[c-1]=s[h],s[h]=A,u<h){for(c=h-1;l<c&&o[f*(c-1)+e]===p;)c-=1;c+=1}else{if(!(h<u))break;for(l=h+1;l<c&&o[f*l+e]===p;)l+=1}}return n(t,e,r,u,o,s,o[f*u+e])};var n=t("./partition")("lo<p0");function i(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=i[s],u=l,f=o*(l-1);u>r&&i[f+e]>c;--u,f-=o){for(var h=f,p=f+o,d=0;d<o;++d,++h,++p){var m=i[h];i[h]=i[p],i[p]=m}var g=a[u];a[u]=a[u-1],a[u-1]=g}}},{"./partition":39}],39:[function(t,e,r){"use strict";e.exports=function(t){return n[t]};var n={"lo===p0":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,c=l,u=r,f=e,h=r;n>h;++h,l+=s){if(i[l+f]===o)if(u===h)u+=1,c+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[c],i[c++]=d}var m=a[h];a[h]=a[u],a[u++]=m}}return u},"lo<p0":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,c=l,u=r,f=e,h=r;n>h;++h,l+=s){if(i[l+f]<o)if(u===h)u+=1,c+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[c],i[c++]=d}var m=a[h];a[h]=a[u],a[u++]=m}}return u},"lo<=p0":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,c=l,u=r,f=t+e,h=r;n>h;++h,l+=s){if(i[l+f]<=o)if(u===h)u+=1,c+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[c],i[c++]=d}var m=a[h];a[h]=a[u],a[u++]=m}}return u},"hi<=p0":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,c=l,u=r,f=t+e,h=r;n>h;++h,l+=s){if(i[l+f]<=o)if(u===h)u+=1,c+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[c],i[c++]=d}var m=a[h];a[h]=a[u],a[u++]=m}}return u},"lo<p0&&p0<=hi":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,c=l,u=r,f=e,h=t+e,p=r;n>p;++p,l+=s){var d=i[l+f],m=i[l+h];if(d<o&&o<=m)if(u===p)u+=1,c+=s;else{for(var g=0;s>g;++g){var v=i[l+g];i[l+g]=i[c],i[c++]=v}var y=a[p];a[p]=a[u],a[u++]=y}}return u},"lo<=p0&&p0<=hi":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,c=l,u=r,f=e,h=t+e,p=r;n>p;++p,l+=s){var d=i[l+f],m=i[l+h];if(d<=o&&o<=m)if(u===p)u+=1,c+=s;else{for(var g=0;s>g;++g){var v=i[l+g];i[l+g]=i[c],i[c++]=v}var y=a[p];a[p]=a[u],a[u++]=y}}return u},"!(lo>=p0)&&!(p1>=hi)":function(t,e,r,n,i,a,o,s){for(var l=2*t,c=l*r,u=c,f=r,h=e,p=t+e,d=r;n>d;++d,c+=l){var m=i[c+h],g=i[c+p];if(!(m>=o||s>=g))if(f===d)f+=1,u+=l;else{for(var v=0;l>v;++v){var y=i[c+v];i[c+v]=i[u],i[u++]=y}var x=a[d];a[d]=a[f],a[f++]=x}}return f}}},{}],40:[function(t,e,r){"use strict";e.exports=function(t,e){e<=128?n(0,e-1,t):function t(e,r,u){var f=(r-e+1)/6|0,h=e+f,p=r-f,d=e+r>>1,m=d-f,g=d+f,v=h,y=m,x=d,b=g,_=p,w=e+1,T=r-1,k=0;l(v,y,u)&&(k=v,v=y,y=k);l(b,_,u)&&(k=b,b=_,_=k);l(v,x,u)&&(k=v,v=x,x=k);l(y,x,u)&&(k=y,y=x,x=k);l(v,b,u)&&(k=v,v=b,b=k);l(x,b,u)&&(k=x,x=b,b=k);l(y,_,u)&&(k=y,y=_,_=k);l(y,x,u)&&(k=y,y=x,x=k);l(b,_,u)&&(k=b,b=_,_=k);for(var A=u[2*y],M=u[2*y+1],S=u[2*b],E=u[2*b+1],L=2*v,C=2*x,P=2*_,I=2*h,O=2*d,z=2*p,D=0;D<2;++D){var R=u[L+D],F=u[C+D],B=u[P+D];u[I+D]=R,u[O+D]=F,u[z+D]=B}a(m,e,u),a(g,r,u);for(var N=w;N<=T;++N)if(c(N,A,M,u))N!==w&&i(N,w,u),++w;else if(!c(N,S,E,u))for(;;){if(c(T,S,E,u)){c(T,A,M,u)?(o(N,w,T,u),++w,--T):(i(N,T,u),--T);break}if(--T<N)break}s(e,w-1,A,M,u),s(r,T+1,S,E,u),w-2-e<=32?n(e,w-2,u):t(e,w-2,u);r-(T+2)<=32?n(T+2,r,u):t(T+2,r,u);T-w<=32?n(w,T,u):t(w,T,u)}(0,e-1,t)};function n(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var c=r[l-2],u=r[l-1];if(c<a)break;if(c===a&&u<o)break;r[l]=c,r[l+1]=u,l-=2}r[l]=a,r[l+1]=o}}function i(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function a(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function o(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function s(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function l(t,e,r){e*=2;var n=r[t*=2],i=r[e];return!(n<i)&&(n!==i||r[t+1]>r[e+1])}function c(t,e,r,n){var i=n[t*=2];return i<e||i===e&&n[t+1]<r}},{}],41:[function(t,e,r){"use strict";e.exports={init:function(t){var e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var A=m[k]+1<<1,M=_*k;h[b++]=i[M+w],h[b++]=-A,h[b++]=i[M+T],h[b++]=A}for(k=g;k<v;++k){A=x[k]+1<<1;var S=_*k;h[b++]=y[S+w],h[b++]=1|-A,h[b++]=y[S+T],h[b++]=1|A}var E=b>>>1;a(h,E);var L=0,C=0,P=0;for(k=0;k<E;++k){var I=0|h[2*k+1],O=1&I;if(k<E-1&&I>>1==h[2*k+3]>>1&&(O=2,k+=1),I<0){for(var z=-(I>>1)-1,D=0;D<P;++D){if(void 0!==(R=e(u[D],z)))return R}if(0!==O)for(D=0;D<L;++D){if(void 0!==(R=e(o[D],z)))return R}if(1!==O)for(D=0;D<C;++D){var R;if(void 0!==(R=e(l[D],z)))return R}0===O?d(o,s,L++,z):1===O?d(l,c,C++,z):2===O&&d(u,f,P++,z)}else{z=(I>>1)-1;0===O?p(o,s,L--,z):1===O?p(l,c,C--,z):2===O&&p(u,f,P--,z)}}},scanBipartite:function(t,e,r,n,i,l,c,u,f,m,g,v){var y=0,x=2*t,b=e,_=e+t,w=1,T=1;n?T=1<<28:w=1<<28;for(var k=i;k<l;++k){var A=k+w,M=x*k;h[y++]=c[M+b],h[y++]=-A,h[y++]=c[M+_],h[y++]=A}for(k=f;k<m;++k){A=k+T;var S=x*k;h[y++]=g[S+b],h[y++]=-A}var E=y>>>1;a(h,E);var L=0;for(k=0;k<E;++k){var C=0|h[2*k+1];if(C<0){var P=!1;if((A=-C)>=1<<28?(P=!n,A-=1<<28):(P=!!n,A-=1),P)d(o,s,L++,A);else{var I=v[A],O=x*A,z=g[O+e+1],D=g[O+e+1+t];t:for(var R=0;R<L;++R){var F=o[R],B=x*F;if(!(D<c[B+e+1]||c[B+e+1+t]<z)){for(var N=e+2;N<t;++N)if(g[O+N+t]<c[B+N]||c[B+N+t]<g[O+N])continue t;var j,U=u[F];if(void 0!==(j=n?r(I,U):r(U,I)))return j}}}}else p(o,s,L--,C-w)}},scanComplete:function(t,e,r,n,i,s,l,c,u,f,p){for(var d=0,m=2*t,g=e,v=e+t,y=n;y<i;++y){var x=y+(1<<28),b=m*y;h[d++]=s[b+g],h[d++]=-x,h[d++]=s[b+v],h[d++]=x}for(y=c;y<u;++y){x=y+1;var _=m*y;h[d++]=f[_+g],h[d++]=-x}var w=d>>>1;a(h,w);var T=0;for(y=0;y<w;++y){var k=0|h[2*y+1];if(k<0){if((x=-k)>=1<<28)o[T++]=x-(1<<28);else{var A=p[x-=1],M=m*x,S=f[M+e+1],E=f[M+e+1+t];t:for(var L=0;L<T;++L){var C=o[L],P=l[C];if(P===A)break;var I=m*C;if(!(E<s[I+e+1]||s[I+e+1+t]<S)){for(var O=e+2;O<t;++O)if(f[M+O+t]<s[I+O]||s[I+O+t]<f[M+O])continue t;var z=r(P,A);if(void 0!==z)return z}}}}else{for(x=k-(1<<28),L=T-1;L>=0;--L)if(o[L]===x){for(O=L+1;O<T;++O)o[O-1]=o[O];break}--T}}}};var n=t("typedarray-pool"),i=t("bit-twiddle"),a=t("./sort"),o=n.mallocInt32(1024),s=n.mallocInt32(1024),l=n.mallocInt32(1024),c=n.mallocInt32(1024),u=n.mallocInt32(1024),f=n.mallocInt32(1024),h=n.mallocDouble(8192);function p(t,e,r,n){var i=e[n],a=t[r-1];t[i]=a,e[a]=i}function d(t,e,r,n){t[r]=n,e[n]=r}},{"./sort":40,"bit-twiddle":32,"typedarray-pool":308}],42:[function(t,e,r){"use strict";var n=t("./lib/monotone"),i=t("./lib/triangulation"),a=t("./lib/delaunay"),o=t("./lib/filter");function s(t){return[Math.min(t[0],t[1]),Math.max(t[0],t[1])]}function l(t,e){return t[0]-e[0]||t[1]-e[1]}function c(t,e,r){return e in t?t[e]:r}e.exports=function(t,e,r){Array.isArray(e)?(r=r||{},e=e||[]):(r=e||{},e=[]);var u=!!c(r,"delaunay",!0),f=!!c(r,"interior",!0),h=!!c(r,"exterior",!0),p=!!c(r,"infinity",!1);if(!f&&!h||0===t.length)return[];var d=n(t,e);if(u||f!==h||p){for(var m=i(t.length,function(t){return t.map(s).sort(l)}(e)),g=0;g<d.length;++g){var v=d[g];m.addTriangle(v[0],v[1],v[2])}return u&&a(t,m),h?f?p?o(m,0,p):m.cells():o(m,1,p):o(m,-1)}return d}},{"./lib/delaunay":43,"./lib/filter":44,"./lib/monotone":45,"./lib/triangulation":46}],43:[function(t,e,r){"use strict";var n=t("robust-in-sphere")[4];t("binary-search-bounds");function i(t,e,r,i,a,o){var s=e.opposite(i,a);if(!(s<0)){if(a<i){var l=i;i=a,a=l,l=o,o=s,s=l}e.isConstraint(i,a)||n(t[i],t[a],t[o],t[s])<0&&r.push(i,a)}}e.exports=function(t,e){for(var r=[],a=t.length,o=e.stars,s=0;s<a;++s)for(var l=o[s],c=1;c<l.length;c+=2){if(!((p=l[c])<s)&&!e.isConstraint(s,p)){for(var u=l[c-1],f=-1,h=1;h<l.length;h+=2)if(l[h-1]===p){f=l[h];break}f<0||n(t[s],t[p],t[u],t[f])<0&&r.push(s,p)}}for(;r.length>0;){for(var p=r.pop(),d=(s=r.pop(),u=-1,f=-1,l=o[s],1);d<l.length;d+=2){var m=l[d-1],g=l[d];m===p?f=g:g===p&&(u=m)}u<0||f<0||(n(t[s],t[p],t[u],t[f])>=0||(e.flip(s,p),i(t,e,r,u,s,f),i(t,e,r,s,f,u),i(t,e,r,f,p,u),i(t,e,r,p,u,f)))}}},{"binary-search-bounds":31,"robust-in-sphere":282}],44:[function(t,e,r){"use strict";var n,i=t("binary-search-bounds");function a(t,e,r,n,i,a,o){this.cells=t,this.neighbor=e,this.flags=n,this.constraint=r,this.active=i,this.next=a,this.boundary=o}function o(t,e){return t[0]-e[0]||t[1]-e[1]||t[2]-e[2]}e.exports=function(t,e,r){var n=function(t,e){for(var r=t.cells(),n=r.length,i=0;i<n;++i){var s=(v=r[i])[0],l=v[1],c=v[2];l<c?l<s&&(v[0]=l,v[1]=c,v[2]=s):c<s&&(v[0]=c,v[1]=s,v[2]=l)}r.sort(o);var u=new Array(n);for(i=0;i<u.length;++i)u[i]=0;var f=[],h=[],p=new Array(3*n),d=new Array(3*n),m=null;e&&(m=[]);var g=new a(r,p,d,u,f,h,m);for(i=0;i<n;++i)for(var v=r[i],y=0;y<3;++y){s=v[y],l=v[(y+1)%3];var x=p[3*i+y]=g.locate(l,s,t.opposite(l,s)),b=d[3*i+y]=t.isConstraint(s,l);x<0&&(b?h.push(i):(f.push(i),u[i]=1),e&&m.push([l,s,-1]))}return g}(t,r);if(0===e)return r?n.cells.concat(n.boundary):n.cells;var i=1,s=n.active,l=n.next,c=n.flags,u=n.cells,f=n.constraint,h=n.neighbor;for(;s.length>0||l.length>0;){for(;s.length>0;){var p=s.pop();if(c[p]!==-i){c[p]=i;u[p];for(var d=0;d<3;++d){var m=h[3*p+d];m>=0&&0===c[m]&&(f[3*p+d]?l.push(m):(s.push(m),c[m]=i))}}}var g=l;l=s,s=g,l.length=0,i=-i}var v=function(t,e,r){for(var n=0,i=0;i<t.length;++i)e[i]===r&&(t[n++]=t[i]);return t.length=n,t}(u,c,e);if(r)return v.concat(n.boundary);return v},a.prototype.locate=(n=[0,0,0],function(t,e,r){var a=t,s=e,l=r;return e<r?e<t&&(a=e,s=r,l=t):r<t&&(a=r,s=t,l=e),a<0?-1:(n[0]=a,n[1]=s,n[2]=l,i.eq(this.cells,n,o))})},{"binary-search-bounds":31}],45:[function(t,e,r){"use strict";var n=t("binary-search-bounds"),i=t("robust-orientation")[3];function a(t,e,r,n,i){this.a=t,this.b=e,this.idx=r,this.lowerIds=n,this.upperIds=i}function o(t,e,r,n){this.a=t,this.b=e,this.type=r,this.idx=n}function s(t,e){var r=t.a[0]-e.a[0]||t.a[1]-e.a[1]||t.type-e.type;return r||(0!==t.type&&(r=i(t.a,t.b,e.b))?r:t.idx-e.idx)}function l(t,e){return i(t.a,t.b,e)}function c(t,e,r,a,o){for(var s=n.lt(e,a,l),c=n.gt(e,a,l),u=s;u<c;++u){for(var f=e[u],h=f.lowerIds,p=h.length;p>1&&i(r[h[p-2]],r[h[p-1]],a)>0;)t.push([h[p-1],h[p-2],o]),p-=1;h.length=p,h.push(o);var d=f.upperIds;for(p=d.length;p>1&&i(r[d[p-2]],r[d[p-1]],a)<0;)t.push([d[p-2],d[p-1],o]),p-=1;d.length=p,d.push(o)}}function u(t,e){var r;return(r=t.a[0]<e.a[0]?i(t.a,t.b,e.a):i(e.b,e.a,t.a))?r:(r=e.b[0]<t.b[0]?i(t.a,t.b,e.b):i(e.b,e.a,t.b))||t.idx-e.idx}function f(t,e,r){var i=n.le(t,r,u),o=t[i],s=o.upperIds,l=s[s.length-1];o.upperIds=[l],t.splice(i+1,0,new a(r.a,r.b,r.idx,[l],s))}function h(t,e,r){var i=r.a;r.a=r.b,r.b=i;var a=n.eq(t,r,u),o=t[a];t[a-1].upperIds=o.upperIds,t.splice(a,1)}e.exports=function(t,e){for(var r=t.length,n=e.length,i=[],l=0;l<r;++l)i.push(new o(t[l],null,0,l));for(l=0;l<n;++l){var u=e[l],p=t[u[0]],d=t[u[1]];p[0]<d[0]?i.push(new o(p,d,2,l),new o(d,p,1,l)):p[0]>d[0]&&i.push(new o(d,p,2,l),new o(p,d,1,l))}i.sort(s);for(var m=i[0].a[0]-(1+Math.abs(i[0].a[0]))*Math.pow(2,-52),g=[new a([m,1],[m,0],-1,[],[],[],[])],v=[],y=(l=0,i.length);l<y;++l){var x=i[l],b=x.type;0===b?c(v,g,t,x.a,x.idx):2===b?f(g,t,x):h(g,t,x)}return v}},{"binary-search-bounds":31,"robust-orientation":284}],46:[function(t,e,r){"use strict";var n=t("binary-search-bounds");function i(t,e){this.stars=t,this.edges=e}e.exports=function(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=[];return new i(r,e)};var a=i.prototype;function o(t,e,r){for(var n=1,i=t.length;n<i;n+=2)if(t[n-1]===e&&t[n]===r)return t[n-1]=t[i-2],t[n]=t[i-1],void(t.length=i-2)}a.isConstraint=function(){var t=[0,0];function e(t,e){return t[0]-e[0]||t[1]-e[1]}return function(r,i){return t[0]=Math.min(r,i),t[1]=Math.max(r,i),n.eq(this.edges,t,e)>=0}}(),a.removeTriangle=function(t,e,r){var n=this.stars;o(n[t],e,r),o(n[e],r,t),o(n[r],t,e)},a.addTriangle=function(t,e,r){var n=this.stars;n[t].push(e,r),n[e].push(r,t),n[r].push(t,e)},a.opposite=function(t,e){for(var r=this.stars[e],n=1,i=r.length;n<i;n+=2)if(r[n]===t)return r[n-1];return-1},a.flip=function(t,e){var r=this.opposite(t,e),n=this.opposite(e,t);this.removeTriangle(t,e,r),this.removeTriangle(e,t,n),this.addTriangle(t,n,r),this.addTriangle(e,r,n)},a.edges=function(){for(var t=this.stars,e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;a+=2)e.push([i[a],i[a+1]]);return e},a.cells=function(){for(var t=this.stars,e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;a+=2){var s=i[a],l=i[a+1];r<Math.min(s,l)&&e.push([r,s,l])}return e}},{"binary-search-bounds":31}],47:[function(t,e,r){"use strict";e.exports=function(t){for(var e=1,r=1;r<t.length;++r)for(var n=0;n<r;++n)if(t[r]<t[n])e=-e;else if(t[n]===t[r])return 0;return e}},{}],48:[function(t,e,r){"use strict";var n=t("dup"),i=t("robust-linear-solve");function a(t,e){for(var r=0,n=t.length,i=0;i<n;++i)r+=t[i]*e[i];return r}function o(t){var e=t.length;if(0===e)return[];t[0].length;var r=n([t.length+1,t.length+1],1),o=n([t.length+1],1);r[e][e]=0;for(var s=0;s<e;++s){for(var l=0;l<=s;++l)r[l][s]=r[s][l]=2*a(t[s],t[l]);o[s]=a(t[s],t[s])}var c=i(r,o),u=0,f=c[e+1];for(s=0;s<f.length;++s)u+=f[s];var h=new Array(e);for(s=0;s<e;++s){f=c[s];var p=0;for(l=0;l<f.length;++l)p+=f[l];h[s]=p/u}return h}function s(t){if(0===t.length)return[];for(var e=t[0].length,r=n([e]),i=o(t),a=0;a<t.length;++a)for(var s=0;s<e;++s)r[s]+=t[a][s]*i[a];return r}s.barycenetric=o,e.exports=s},{dup:65,"robust-linear-solve":283}],49:[function(t,e,r){e.exports=function(t){for(var e=n(t),r=0,i=0;i<t.length;++i)for(var a=t[i],o=0;o<e.length;++o)r+=Math.pow(a[o]-e[o],2);return Math.sqrt(r/t.length)};var n=t("circumcenter")},{circumcenter:48}],50:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n;if(r){n=e;for(var i=new Array(e.length),a=0;a<e.length;++a){var o=e[a];i[a]=[o[0],o[1],r[a]]}e=i}var s=function(t,e,r){var n=d(t,[],p(t));return v(e,n,r),!!n}(t,e,!!r);for(;y(t,e,!!r);)s=!0;if(r&&s){n.length=0,r.length=0;for(a=0;a<e.length;++a){o=e[a];n.push([o[0],o[1]]),r.push(o[2])}}return s};var n=t("union-find"),i=t("box-intersect"),a=t("robust-segment-intersect"),o=t("big-rat"),s=t("big-rat/cmp"),l=t("big-rat/to-float"),c=t("rat-vec"),u=t("nextafter"),f=t("./lib/rat-seg-intersect");function h(t){var e=l(t);return[u(e,-1/0),u(e,1/0)]}function p(t){for(var e=new Array(t.length),r=0;r<t.length;++r){var n=t[r];e[r]=[u(n[0],-1/0),u(n[1],-1/0),u(n[0],1/0),u(n[1],1/0)]}return e}function d(t,e,r){for(var a=e.length,o=new n(a),s=[],l=0;l<e.length;++l){var c=e[l],f=h(c[0]),p=h(c[1]);s.push([u(f[0],-1/0),u(p[0],-1/0),u(f[1],1/0),u(p[1],1/0)])}i(s,(function(t,e){o.link(t,e)}));var d=!0,m=new Array(a);for(l=0;l<a;++l){(v=o.find(l))!==l&&(d=!1,t[v]=[Math.min(t[l][0],t[v][0]),Math.min(t[l][1],t[v][1])])}if(d)return null;var g=0;for(l=0;l<a;++l){var v;(v=o.find(l))===l?(m[l]=g,t[g++]=t[l]):m[l]=-1}t.length=g;for(l=0;l<a;++l)m[l]<0&&(m[l]=m[o.find(l)]);return m}function m(t,e){return t[0]-e[0]||t[1]-e[1]}function g(t,e){var r=t[0]-e[0]||t[1]-e[1];return r||(t[2]<e[2]?-1:t[2]>e[2]?1:0)}function v(t,e,r){if(0!==t.length){if(e)for(var n=0;n<t.length;++n){var i=e[(o=t[n])[0]],a=e[o[1]];o[0]=Math.min(i,a),o[1]=Math.max(i,a)}else for(n=0;n<t.length;++n){var o;i=(o=t[n])[0],a=o[1];o[0]=Math.min(i,a),o[1]=Math.max(i,a)}r?t.sort(g):t.sort(m);var s=1;for(n=1;n<t.length;++n){var l=t[n-1],c=t[n];(c[0]!==l[0]||c[1]!==l[1]||r&&c[2]!==l[2])&&(t[s++]=c)}t.length=s}}function y(t,e,r){var n=function(t,e){for(var r=new Array(e.length),n=0;n<e.length;++n){var i=e[n],a=t[i[0]],o=t[i[1]];r[n]=[u(Math.min(a[0],o[0]),-1/0),u(Math.min(a[1],o[1]),-1/0),u(Math.max(a[0],o[0]),1/0),u(Math.max(a[1],o[1]),1/0)]}return r}(t,e),h=function(t,e,r){var n=[];return i(r,(function(r,i){var o=e[r],s=e[i];if(o[0]!==s[0]&&o[0]!==s[1]&&o[1]!==s[0]&&o[1]!==s[1]){var l=t[o[0]],c=t[o[1]],u=t[s[0]],f=t[s[1]];a(l,c,u,f)&&n.push([r,i])}})),n}(t,e,n),m=p(t),g=function(t,e,r,n){var o=[];return i(r,n,(function(r,n){var i=e[r];if(i[0]!==n&&i[1]!==n){var s=t[n],l=t[i[0]],c=t[i[1]];a(l,c,s,s)&&o.push([r,n])}})),o}(t,e,n,m),y=d(t,function(t,e,r,n,i){var a,u,h=t.map((function(t){return[o(t[0]),o(t[1])]}));for(a=0;a<r.length;++a){var p=r[a];u=p[0];var d=p[1],m=e[u],g=e[d],v=f(c(t[m[0]]),c(t[m[1]]),c(t[g[0]]),c(t[g[1]]));if(v){var y=t.length;t.push([l(v[0]),l(v[1])]),h.push(v),n.push([u,y],[d,y])}}for(n.sort((function(t,e){if(t[0]!==e[0])return t[0]-e[0];var r=h[t[1]],n=h[e[1]];return s(r[0],n[0])||s(r[1],n[1])})),a=n.length-1;a>=0;--a){var x=e[u=(S=n[a])[0]],b=x[0],_=x[1],w=t[b],T=t[_];if((w[0]-T[0]||w[1]-T[1])<0){var k=b;b=_,_=k}x[0]=b;var A,M=x[1]=S[1];for(i&&(A=x[2]);a>0&&n[a-1][0]===u;){var S,E=(S=n[--a])[1];i?e.push([M,E,A]):e.push([M,E]),M=E}i?e.push([M,_,A]):e.push([M,_])}return h}(t,e,h,g,r));return v(e,y,r),!!y||(h.length>0||g.length>0)}},{"./lib/rat-seg-intersect":51,"big-rat":18,"big-rat/cmp":16,"big-rat/to-float":30,"box-intersect":35,nextafter:260,"rat-vec":273,"robust-segment-intersect":287,"union-find":309}],51:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var a=s(e,t),f=s(n,r),h=u(a,f);if(0===o(h))return null;var p=s(t,r),d=u(f,p),m=i(d,h),g=c(a,m);return l(t,g)};var n=t("big-rat/mul"),i=t("big-rat/div"),a=t("big-rat/sub"),o=t("big-rat/sign"),s=t("rat-vec/sub"),l=t("rat-vec/add"),c=t("rat-vec/muls");function u(t,e){return a(n(t[0],e[1]),n(t[1],e[0]))}},{"big-rat/div":17,"big-rat/mul":27,"big-rat/sign":28,"big-rat/sub":29,"rat-vec/add":272,"rat-vec/muls":274,"rat-vec/sub":275}],52:[function(t,e,r){e.exports={jet:[{index:0,rgb:[0,0,131]},{index:.125,rgb:[0,60,170]},{index:.375,rgb:[5,255,255]},{index:.625,rgb:[255,255,0]},{index:.875,rgb:[250,0,0]},{index:1,rgb:[128,0,0]}],hsv:[{index:0,rgb:[255,0,0]},{index:.169,rgb:[253,255,2]},{index:.173,rgb:[247,255,2]},{index:.337,rgb:[0,252,4]},{index:.341,rgb:[0,252,10]},{index:.506,rgb:[1,249,255]},{index:.671,rgb:[2,0,253]},{index:.675,rgb:[8,0,253]},{index:.839,rgb:[255,0,251]},{index:.843,rgb:[255,0,245]},{index:1,rgb:[255,0,6]}],hot:[{index:0,rgb:[0,0,0]},{index:.3,rgb:[230,0,0]},{index:.6,rgb:[255,210,0]},{index:1,rgb:[255,255,255]}],spring:[{index:0,rgb:[255,0,255]},{index:1,rgb:[255,255,0]}],summer:[{index:0,rgb:[0,128,102]},{index:1,rgb:[255,255,102]}],autumn:[{index:0,rgb:[255,0,0]},{index:1,rgb:[255,255,0]}],winter:[{index:0,rgb:[0,0,255]},{index:1,rgb:[0,255,128]}],bone:[{index:0,rgb:[0,0,0]},{index:.376,rgb:[84,84,116]},{index:.753,rgb:[169,200,200]},{index:1,rgb:[255,255,255]}],copper:[{index:0,rgb:[0,0,0]},{index:.804,rgb:[255,160,102]},{index:1,rgb:[255,199,127]}],greys:[{index:0,rgb:[0,0,0]},{index:1,rgb:[255,255,255]}],yignbu:[{index:0,rgb:[8,29,88]},{index:.125,rgb:[37,52,148]},{index:.25,rgb:[34,94,168]},{index:.375,rgb:[29,145,192]},{index:.5,rgb:[65,182,196]},{index:.625,rgb:[127,205,187]},{index:.75,rgb:[199,233,180]},{index:.875,rgb:[237,248,217]},{index:1,rgb:[255,255,217]}],greens:[{index:0,rgb:[0,68,27]},{index:.125,rgb:[0,109,44]},{index:.25,rgb:[35,139,69]},{index:.375,rgb:[65,171,93]},{index:.5,rgb:[116,196,118]},{index:.625,rgb:[161,217,155]},{index:.75,rgb:[199,233,192]},{index:.875,rgb:[229,245,224]},{index:1,rgb:[247,252,245]}],yiorrd:[{index:0,rgb:[128,0,38]},{index:.125,rgb:[189,0,38]},{index:.25,rgb:[227,26,28]},{index:.375,rgb:[252,78,42]},{index:.5,rgb:[253,141,60]},{index:.625,rgb:[254,178,76]},{index:.75,rgb:[254,217,118]},{index:.875,rgb:[255,237,160]},{index:1,rgb:[255,255,204]}],bluered:[{index:0,rgb:[0,0,255]},{index:1,rgb:[255,0,0]}],rdbu:[{index:0,rgb:[5,10,172]},{index:.35,rgb:[106,137,247]},{index:.5,rgb:[190,190,190]},{index:.6,rgb:[220,170,132]},{index:.7,rgb:[230,145,90]},{index:1,rgb:[178,10,28]}],picnic:[{index:0,rgb:[0,0,255]},{index:.1,rgb:[51,153,255]},{index:.2,rgb:[102,204,255]},{index:.3,rgb:[153,204,255]},{index:.4,rgb:[204,204,255]},{index:.5,rgb:[255,255,255]},{index:.6,rgb:[255,204,255]},{index:.7,rgb:[255,153,255]},{index:.8,rgb:[255,102,204]},{index:.9,rgb:[255,102,102]},{index:1,rgb:[255,0,0]}],rainbow:[{index:0,rgb:[150,0,90]},{index:.125,rgb:[0,0,200]},{index:.25,rgb:[0,25,255]},{index:.375,rgb:[0,152,255]},{index:.5,rgb:[44,255,150]},{index:.625,rgb:[151,255,0]},{index:.75,rgb:[255,234,0]},{index:.875,rgb:[255,111,0]},{index:1,rgb:[255,0,0]}],portland:[{index:0,rgb:[12,51,131]},{index:.25,rgb:[10,136,186]},{index:.5,rgb:[242,211,56]},{index:.75,rgb:[242,143,56]},{index:1,rgb:[217,30,30]}],blackbody:[{index:0,rgb:[0,0,0]},{index:.2,rgb:[230,0,0]},{index:.4,rgb:[230,210,0]},{index:.7,rgb:[255,255,255]},{index:1,rgb:[160,200,255]}],earth:[{index:0,rgb:[0,0,130]},{index:.1,rgb:[0,180,180]},{index:.2,rgb:[40,210,40]},{index:.4,rgb:[230,230,50]},{index:.6,rgb:[120,70,20]},{index:1,rgb:[255,255,255]}],electric:[{index:0,rgb:[0,0,0]},{index:.15,rgb:[30,0,100]},{index:.4,rgb:[120,0,100]},{index:.6,rgb:[160,90,0]},{index:.8,rgb:[230,200,0]},{index:1,rgb:[255,250,220]}],alpha:[{index:0,rgb:[255,255,255,0]},{index:1,rgb:[255,255,255,1]}],viridis:[{index:0,rgb:[68,1,84]},{index:.13,rgb:[71,44,122]},{index:.25,rgb:[59,81,139]},{index:.38,rgb:[44,113,142]},{index:.5,rgb:[33,144,141]},{index:.63,rgb:[39,173,129]},{index:.75,rgb:[92,200,99]},{index:.88,rgb:[170,220,50]},{index:1,rgb:[253,231,37]}],inferno:[{index:0,rgb:[0,0,4]},{index:.13,rgb:[31,12,72]},{index:.25,rgb:[85,15,109]},{index:.38,rgb:[136,34,106]},{index:.5,rgb:[186,54,85]},{index:.63,rgb:[227,89,51]},{index:.75,rgb:[249,140,10]},{index:.88,rgb:[249,201,50]},{index:1,rgb:[252,255,164]}],magma:[{index:0,rgb:[0,0,4]},{index:.13,rgb:[28,16,68]},{index:.25,rgb:[79,18,123]},{index:.38,rgb:[129,37,129]},{index:.5,rgb:[181,54,122]},{index:.63,rgb:[229,80,100]},{index:.75,rgb:[251,135,97]},{index:.88,rgb:[254,194,135]},{index:1,rgb:[252,253,191]}],plasma:[{index:0,rgb:[13,8,135]},{index:.13,rgb:[75,3,161]},{index:.25,rgb:[125,3,168]},{index:.38,rgb:[168,34,150]},{index:.5,rgb:[203,70,121]},{index:.63,rgb:[229,107,93]},{index:.75,rgb:[248,148,65]},{index:.88,rgb:[253,195,40]},{index:1,rgb:[240,249,33]}],warm:[{index:0,rgb:[125,0,179]},{index:.13,rgb:[172,0,187]},{index:.25,rgb:[219,0,170]},{index:.38,rgb:[255,0,130]},{index:.5,rgb:[255,63,74]},{index:.63,rgb:[255,123,0]},{index:.75,rgb:[234,176,0]},{index:.88,rgb:[190,228,0]},{index:1,rgb:[147,255,0]}],cool:[{index:0,rgb:[125,0,179]},{index:.13,rgb:[116,0,218]},{index:.25,rgb:[98,74,237]},{index:.38,rgb:[68,146,231]},{index:.5,rgb:[0,204,197]},{index:.63,rgb:[0,247,146]},{index:.75,rgb:[0,255,88]},{index:.88,rgb:[40,255,8]},{index:1,rgb:[147,255,0]}],"rainbow-soft":[{index:0,rgb:[125,0,179]},{index:.1,rgb:[199,0,180]},{index:.2,rgb:[255,0,121]},{index:.3,rgb:[255,108,0]},{index:.4,rgb:[222,194,0]},{index:.5,rgb:[150,255,0]},{index:.6,rgb:[0,255,55]},{index:.7,rgb:[0,246,150]},{index:.8,rgb:[50,167,222]},{index:.9,rgb:[103,51,235]},{index:1,rgb:[124,0,186]}],bathymetry:[{index:0,rgb:[40,26,44]},{index:.13,rgb:[59,49,90]},{index:.25,rgb:[64,76,139]},{index:.38,rgb:[63,110,151]},{index:.5,rgb:[72,142,158]},{index:.63,rgb:[85,174,163]},{index:.75,rgb:[120,206,163]},{index:.88,rgb:[187,230,172]},{index:1,rgb:[253,254,204]}],cdom:[{index:0,rgb:[47,15,62]},{index:.13,rgb:[87,23,86]},{index:.25,rgb:[130,28,99]},{index:.38,rgb:[171,41,96]},{index:.5,rgb:[206,67,86]},{index:.63,rgb:[230,106,84]},{index:.75,rgb:[242,149,103]},{index:.88,rgb:[249,193,135]},{index:1,rgb:[254,237,176]}],chlorophyll:[{index:0,rgb:[18,36,20]},{index:.13,rgb:[25,63,41]},{index:.25,rgb:[24,91,59]},{index:.38,rgb:[13,119,72]},{index:.5,rgb:[18,148,80]},{index:.63,rgb:[80,173,89]},{index:.75,rgb:[132,196,122]},{index:.88,rgb:[175,221,162]},{index:1,rgb:[215,249,208]}],density:[{index:0,rgb:[54,14,36]},{index:.13,rgb:[89,23,80]},{index:.25,rgb:[110,45,132]},{index:.38,rgb:[120,77,178]},{index:.5,rgb:[120,113,213]},{index:.63,rgb:[115,151,228]},{index:.75,rgb:[134,185,227]},{index:.88,rgb:[177,214,227]},{index:1,rgb:[230,241,241]}],"freesurface-blue":[{index:0,rgb:[30,4,110]},{index:.13,rgb:[47,14,176]},{index:.25,rgb:[41,45,236]},{index:.38,rgb:[25,99,212]},{index:.5,rgb:[68,131,200]},{index:.63,rgb:[114,156,197]},{index:.75,rgb:[157,181,203]},{index:.88,rgb:[200,208,216]},{index:1,rgb:[241,237,236]}],"freesurface-red":[{index:0,rgb:[60,9,18]},{index:.13,rgb:[100,17,27]},{index:.25,rgb:[142,20,29]},{index:.38,rgb:[177,43,27]},{index:.5,rgb:[192,87,63]},{index:.63,rgb:[205,125,105]},{index:.75,rgb:[216,162,148]},{index:.88,rgb:[227,199,193]},{index:1,rgb:[241,237,236]}],oxygen:[{index:0,rgb:[64,5,5]},{index:.13,rgb:[106,6,15]},{index:.25,rgb:[144,26,7]},{index:.38,rgb:[168,64,3]},{index:.5,rgb:[188,100,4]},{index:.63,rgb:[206,136,11]},{index:.75,rgb:[220,174,25]},{index:.88,rgb:[231,215,44]},{index:1,rgb:[248,254,105]}],par:[{index:0,rgb:[51,20,24]},{index:.13,rgb:[90,32,35]},{index:.25,rgb:[129,44,34]},{index:.38,rgb:[159,68,25]},{index:.5,rgb:[182,99,19]},{index:.63,rgb:[199,134,22]},{index:.75,rgb:[212,171,35]},{index:.88,rgb:[221,210,54]},{index:1,rgb:[225,253,75]}],phase:[{index:0,rgb:[145,105,18]},{index:.13,rgb:[184,71,38]},{index:.25,rgb:[186,58,115]},{index:.38,rgb:[160,71,185]},{index:.5,rgb:[110,97,218]},{index:.63,rgb:[50,123,164]},{index:.75,rgb:[31,131,110]},{index:.88,rgb:[77,129,34]},{index:1,rgb:[145,105,18]}],salinity:[{index:0,rgb:[42,24,108]},{index:.13,rgb:[33,50,162]},{index:.25,rgb:[15,90,145]},{index:.38,rgb:[40,118,137]},{index:.5,rgb:[59,146,135]},{index:.63,rgb:[79,175,126]},{index:.75,rgb:[120,203,104]},{index:.88,rgb:[193,221,100]},{index:1,rgb:[253,239,154]}],temperature:[{index:0,rgb:[4,35,51]},{index:.13,rgb:[23,51,122]},{index:.25,rgb:[85,59,157]},{index:.38,rgb:[129,79,143]},{index:.5,rgb:[175,95,130]},{index:.63,rgb:[222,112,101]},{index:.75,rgb:[249,146,66]},{index:.88,rgb:[249,196,65]},{index:1,rgb:[232,250,91]}],turbidity:[{index:0,rgb:[34,31,27]},{index:.13,rgb:[65,50,41]},{index:.25,rgb:[98,69,52]},{index:.38,rgb:[131,89,57]},{index:.5,rgb:[161,112,59]},{index:.63,rgb:[185,140,66]},{index:.75,rgb:[202,174,88]},{index:.88,rgb:[216,209,126]},{index:1,rgb:[233,246,171]}],"velocity-blue":[{index:0,rgb:[17,32,64]},{index:.13,rgb:[35,52,116]},{index:.25,rgb:[29,81,156]},{index:.38,rgb:[31,113,162]},{index:.5,rgb:[50,144,169]},{index:.63,rgb:[87,173,176]},{index:.75,rgb:[149,196,189]},{index:.88,rgb:[203,221,211]},{index:1,rgb:[254,251,230]}],"velocity-green":[{index:0,rgb:[23,35,19]},{index:.13,rgb:[24,64,38]},{index:.25,rgb:[11,95,45]},{index:.38,rgb:[39,123,35]},{index:.5,rgb:[95,146,12]},{index:.63,rgb:[152,165,18]},{index:.75,rgb:[201,186,69]},{index:.88,rgb:[233,216,137]},{index:1,rgb:[255,253,205]}],cubehelix:[{index:0,rgb:[0,0,0]},{index:.07,rgb:[22,5,59]},{index:.13,rgb:[60,4,105]},{index:.2,rgb:[109,1,135]},{index:.27,rgb:[161,0,147]},{index:.33,rgb:[210,2,142]},{index:.4,rgb:[251,11,123]},{index:.47,rgb:[255,29,97]},{index:.53,rgb:[255,54,69]},{index:.6,rgb:[255,85,46]},{index:.67,rgb:[255,120,34]},{index:.73,rgb:[255,157,37]},{index:.8,rgb:[241,191,57]},{index:.87,rgb:[224,220,93]},{index:.93,rgb:[218,241,142]},{index:1,rgb:[227,253,198]}]}},{}],53:[function(t,e,r){"use strict";var n=t("./colorScale"),i=t("lerp");function a(t){return[t[0]/255,t[1]/255,t[2]/255,t[3]]}function o(t){for(var e,r="#",n=0;n<3;++n)r+=("00"+(e=(e=t[n]).toString(16))).substr(e.length);return r}function s(t){return"rgba("+t.join(",")+")"}e.exports=function(t){var e,r,l,c,u,f,h,p,d,m;t||(t={});p=(t.nshades||72)-1,h=t.format||"hex",(f=t.colormap)||(f="jet");if("string"==typeof f){if(f=f.toLowerCase(),!n[f])throw Error(f+" not a supported colorscale");u=n[f]}else{if(!Array.isArray(f))throw Error("unsupported colormap option",f);u=f.slice()}if(u.length>p+1)throw new Error(f+" map requires nshades to be at least size "+u.length);d=Array.isArray(t.alpha)?2!==t.alpha.length?[1,1]:t.alpha.slice():"number"==typeof t.alpha?[t.alpha,t.alpha]:[1,1];e=u.map((function(t){return Math.round(t.index*p)})),d[0]=Math.min(Math.max(d[0],0),1),d[1]=Math.min(Math.max(d[1],0),1);var g=u.map((function(t,e){var r=u[e].index,n=u[e].rgb.slice();return 4===n.length&&n[3]>=0&&n[3]<=1||(n[3]=d[0]+(d[1]-d[0])*r),n})),v=[];for(m=0;m<e.length-1;++m){c=e[m+1]-e[m],r=g[m],l=g[m+1];for(var y=0;y<c;y++){var x=y/c;v.push([Math.round(i(r[0],l[0],x)),Math.round(i(r[1],l[1],x)),Math.round(i(r[2],l[2],x)),i(r[3],l[3],x)])}}v.push(u[u.length-1].rgb.concat(d[1])),"hex"===h?v=v.map(o):"rgbaString"===h?v=v.map(s):"float"===h&&(v=v.map(a));return v}},{"./colorScale":52,lerp:240}],54:[function(t,e,r){"use strict";e.exports=function(t,e,r,a){var o=n(e,r,a);if(0===o){var s=i(n(t,e,r)),c=i(n(t,e,a));if(s===c){if(0===s){var u=l(t,e,r),f=l(t,e,a);return u===f?0:u?1:-1}return 0}return 0===c?s>0||l(t,e,a)?-1:1:0===s?c>0||l(t,e,r)?1:-1:i(c-s)}var h=n(t,e,r);return h>0?o>0&&n(t,e,a)>0?1:-1:h<0?o>0||n(t,e,a)>0?1:-1:n(t,e,a)>0||l(t,e,r)?1:-1};var n=t("robust-orientation"),i=t("signum"),a=t("two-sum"),o=t("robust-product"),s=t("robust-sum");function l(t,e,r){var n=a(t[0],-e[0]),i=a(t[1],-e[1]),l=a(r[0],-e[0]),c=a(r[1],-e[1]),u=s(o(n,l),o(i,c));return u[u.length-1]>=0}},{"robust-orientation":284,"robust-product":285,"robust-sum":289,signum:55,"two-sum":307}],55:[function(t,e,r){"use strict";e.exports=function(t){return t<0?-1:t>0?1:0}},{}],56:[function(t,e,r){e.exports=function(t,e){var r=t.length,a=t.length-e.length;if(a)return a;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return t[0]+t[1]-e[0]-e[1]||n(t[0],t[1])-n(e[0],e[1]);case 3:var o=t[0]+t[1],s=e[0]+e[1];if(a=o+t[2]-(s+e[2]))return a;var l=n(t[0],t[1]),c=n(e[0],e[1]);return n(l,t[2])-n(c,e[2])||n(l+t[2],o)-n(c+e[2],s);case 4:var u=t[0],f=t[1],h=t[2],p=t[3],d=e[0],m=e[1],g=e[2],v=e[3];return u+f+h+p-(d+m+g+v)||n(u,f,h,p)-n(d,m,g,v,d)||n(u+f,u+h,u+p,f+h,f+p,h+p)-n(d+m,d+g,d+v,m+g,m+v,g+v)||n(u+f+h,u+f+p,u+h+p,f+h+p)-n(d+m+g,d+m+v,d+g+v,m+g+v);default:for(var y=t.slice().sort(i),x=e.slice().sort(i),b=0;b<r;++b)if(a=y[b]-x[b])return a;return 0}};var n=Math.min;function i(t,e){return t-e}},{}],57:[function(t,e,r){"use strict";var n=t("compare-cell"),i=t("cell-orientation");e.exports=function(t,e){return n(t,e)||i(t)-i(e)}},{"cell-orientation":47,"compare-cell":56}],58:[function(t,e,r){"use strict";var n=t("./lib/ch1d"),i=t("./lib/ch2d"),a=t("./lib/chnd");e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[[0]];var r=t[0].length;if(0===r)return[];if(1===r)return n(t);if(2===r)return i(t);return a(t,r)}},{"./lib/ch1d":59,"./lib/ch2d":60,"./lib/chnd":61}],59:[function(t,e,r){"use strict";e.exports=function(t){for(var e=0,r=0,n=1;n<t.length;++n)t[n][0]<t[e][0]&&(e=n),t[n][0]>t[r][0]&&(r=n);return e<r?[[e],[r]]:e>r?[[r],[e]]:[[e]]}},{}],60:[function(t,e,r){"use strict";e.exports=function(t){var e=n(t),r=e.length;if(r<=2)return[];for(var i=new Array(r),a=e[r-1],o=0;o<r;++o){var s=e[o];i[o]=[a,s],a=s}return i};var n=t("monotone-convex-hull-2d")},{"monotone-convex-hull-2d":246}],61:[function(t,e,r){"use strict";e.exports=function(t,e){try{return n(t,!0)}catch(o){var r=i(t);if(r.length<=e)return[];var a=function(t,e){for(var r=t.length,n=new Array(r),i=0;i<e.length;++i)n[i]=t[e[i]];var a=e.length;for(i=0;i<r;++i)e.indexOf(i)<0&&(n[a++]=t[i]);return n}(t,r);return function(t,e){for(var r=t.length,n=e.length,i=0;i<r;++i)for(var a=t[i],o=0;o<a.length;++o){var s=a[o];if(s<n)a[o]=e[s];else{s-=n;for(var l=0;l<n;++l)s>=e[l]&&(s+=1);a[o]=s}}return t}(n(a,!0),r)}};var n=t("incremental-convex-hull"),i=t("affine-hull")},{"affine-hull":10,"incremental-convex-hull":233}],62:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i,a){var o=i-1,s=i*i,l=o*o,c=(1+2*i)*l,u=i*l,f=s*(3-2*i),h=s*o;if(t.length){a||(a=new Array(t.length));for(var p=t.length-1;p>=0;--p)a[p]=c*t[p]+u*e[p]+f*r[p]+h*n[p];return a}return c*t+u*e+f*r+h*n},e.exports.derivative=function(t,e,r,n,i,a){var o=6*i*i-6*i,s=3*i*i-4*i+1,l=-6*i*i+6*i,c=3*i*i-2*i;if(t.length){a||(a=new Array(t.length));for(var u=t.length-1;u>=0;--u)a[u]=o*t[u]+s*e[u]+l*r[u]+c*n[u];return a}return o*t+s*e+l*r[u]+c*n}},{}],63:[function(t,e,r){"use strict";var n=t("incremental-convex-hull"),i=t("uniq");function a(t,e){this.point=t,this.index=e}function o(t,e){for(var r=t.point,n=e.point,i=r.length,a=0;a<i;++a){var o=n[a]-r[a];if(o)return o}return 0}e.exports=function(t,e){var r=t.length;if(0===r)return[];var s=t[0].length;if(s<1)return[];if(1===s)return function(t,e,r){if(1===t)return r?[[-1,0]]:[];var n=e.map((function(t,e){return[t[0],e]}));n.sort((function(t,e){return t[0]-e[0]}));for(var i=new Array(t-1),a=1;a<t;++a){var o=n[a-1],s=n[a];i[a-1]=[o[1],s[1]]}r&&i.push([-1,i[0][1]],[i[t-1][1],-1]);return i}(r,t,e);for(var l=new Array(r),c=1,u=0;u<r;++u){for(var f=t[u],h=new Array(s+1),p=0,d=0;d<s;++d){var m=f[d];h[d]=m,p+=m*m}h[s]=p,l[u]=new a(h,u),c=Math.max(p,c)}i(l,o),r=l.length;var g=new Array(r+s+1),v=new Array(r+s+1),y=(s+1)*(s+1)*c,x=new Array(s+1);for(u=0;u<=s;++u)x[u]=0;x[s]=y,g[0]=x.slice(),v[0]=-1;for(u=0;u<=s;++u){(h=x.slice())[u]=1,g[u+1]=h,v[u+1]=-1}for(u=0;u<r;++u){var b=l[u];g[u+s+1]=b.point,v[u+s+1]=b.index}var _=n(g,!1);_=e?_.filter((function(t){for(var e=0,r=0;r<=s;++r){var n=v[t[r]];if(n<0&&++e>=2)return!1;t[r]=n}return!0})):_.filter((function(t){for(var e=0;e<=s;++e){var r=v[t[e]];if(r<0)return!1;t[e]=r}return!0}));if(1&s)for(u=0;u<_.length;++u){h=(b=_[u])[0];b[0]=b[1],b[1]=h}return _}},{"incremental-convex-hull":233,uniq:310}],64:[function(t,e,r){(function(t){(function(){var r=!1;if("undefined"!=typeof Float64Array){var n=new Float64Array(1),i=new Uint32Array(n.buffer);if(n[0]=1,r=!0,1072693248===i[1]){e.exports=function(t){return n[0]=t,[i[0],i[1]]},e.exports.pack=function(t,e){return i[0]=t,i[1]=e,n[0]},e.exports.lo=function(t){return n[0]=t,i[0]},e.exports.hi=function(t){return n[0]=t,i[1]}}else if(1072693248===i[0]){e.exports=function(t){return n[0]=t,[i[1],i[0]]},e.exports.pack=function(t,e){return i[1]=t,i[0]=e,n[0]},e.exports.lo=function(t){return n[0]=t,i[1]},e.exports.hi=function(t){return n[0]=t,i[0]}}else r=!1}if(!r){var a=new t(8);e.exports=function(t){return a.writeDoubleLE(t,0,!0),[a.readUInt32LE(0,!0),a.readUInt32LE(4,!0)]},e.exports.pack=function(t,e){return a.writeUInt32LE(t,0,!0),a.writeUInt32LE(e,4,!0),a.readDoubleLE(0,!0)},e.exports.lo=function(t){return a.writeDoubleLE(t,0,!0),a.readUInt32LE(0,!0)},e.exports.hi=function(t){return a.writeDoubleLE(t,0,!0),a.readUInt32LE(4,!0)}}e.exports.sign=function(t){return e.exports.hi(t)>>>31},e.exports.exponent=function(t){return(e.exports.hi(t)<<1>>>21)-1023},e.exports.fraction=function(t){var r=e.exports.lo(t),n=e.exports.hi(t),i=1048575&n;return 2146435072&n&&(i+=1<<20),[r,i]},e.exports.denormalized=function(t){return!(2146435072&e.exports.hi(t))}}).call(this)}).call(this,t("buffer").Buffer)},{buffer:3}],65:[function(t,e,r){"use strict";e.exports=function(t,e){switch(void 0===e&&(e=0),typeof t){case"number":if(t>0)return function(t,e){var r,n;for(r=new Array(t),n=0;n<t;++n)r[n]=e;return r}(0|t,e);break;case"object":if("number"==typeof t.length)return function t(e,r,n){var i=0|e[n];if(i<=0)return[];var a,o=new Array(i);if(n===e.length-1)for(a=0;a<i;++a)o[a]=r;else for(a=0;a<i;++a)o[a]=t(e,r,n+1);return o}(t,e,0)}return[]}},{}],66:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.length;if("number"!=typeof e){e=0;for(var i=0;i<r;++i){var a=t[i];e=Math.max(e,a[0],a[1])}e=1+(0|e)}e|=0;var o=new Array(e);for(i=0;i<e;++i)o[i]=[];for(i=0;i<r;++i){a=t[i];o[a[0]].push(a[1]),o[a[1]].push(a[0])}for(var s=0;s<e;++s)n(o[s],(function(t,e){return t-e}));return o};var n=t("uniq")},{uniq:310}],67:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=e||0,i=r||1;return[[t[12]+t[0],t[13]+t[1],t[14]+t[2],t[15]+t[3]],[t[12]-t[0],t[13]-t[1],t[14]-t[2],t[15]-t[3]],[t[12]+t[4],t[13]+t[5],t[14]+t[6],t[15]+t[7]],[t[12]-t[4],t[13]-t[5],t[14]-t[6],t[15]-t[7]],[n*t[12]+t[8],n*t[13]+t[9],n*t[14]+t[10],n*t[15]+t[11]],[i*t[12]-t[8],i*t[13]-t[9],i*t[14]-t[10],i*t[15]-t[11]]]}},{}],68:[function(t,e,r){"use strict";e.exports=function(t,e,r){switch(arguments.length){case 0:return new o([0],[0],0);case 1:return"number"==typeof t?new o(n=l(t),n,0):new o(t,l(t.length),0);case 2:if("number"==typeof e){var n=l(t.length);return new o(t,n,+e)}r=0;case 3:if(t.length!==e.length)throw new Error("state and velocity lengths must match");return new o(t,e,r)}};var n=t("cubic-hermite"),i=t("binary-search-bounds");function a(t,e,r){return Math.min(e,Math.max(t,r))}function o(t,e,r){this.dimension=t.length,this.bounds=[new Array(this.dimension),new Array(this.dimension)];for(var n=0;n<this.dimension;++n)this.bounds[0][n]=-1/0,this.bounds[1][n]=1/0;this._state=t.slice().reverse(),this._velocity=e.slice().reverse(),this._time=[r],this._scratch=[t.slice(),t.slice(),t.slice(),t.slice(),t.slice()]}var s=o.prototype;function l(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=0;return e}s.flush=function(t){var e=i.gt(this._time,t)-1;e<=0||(this._time.splice(0,e),this._state.splice(0,e*this.dimension),this._velocity.splice(0,e*this.dimension))},s.curve=function(t){var e=this._time,r=e.length,o=i.le(e,t),s=this._scratch[0],l=this._state,c=this._velocity,u=this.dimension,f=this.bounds;if(o<0)for(var h=u-1,p=0;p<u;++p,--h)s[p]=l[h];else if(o>=r-1){h=l.length-1;var d=t-e[r-1];for(p=0;p<u;++p,--h)s[p]=l[h]+d*c[h]}else{h=u*(o+1)-1;var m=e[o],g=e[o+1]-m||1,v=this._scratch[1],y=this._scratch[2],x=this._scratch[3],b=this._scratch[4],_=!0;for(p=0;p<u;++p,--h)v[p]=l[h],x[p]=c[h]*g,y[p]=l[h+u],b[p]=c[h+u]*g,_=_&&v[p]===y[p]&&x[p]===b[p]&&0===x[p];if(_)for(p=0;p<u;++p)s[p]=v[p];else n(v,x,y,b,(t-m)/g,s)}var w=f[0],T=f[1];for(p=0;p<u;++p)s[p]=a(w[p],T[p],s[p]);return s},s.dcurve=function(t){var e=this._time,r=e.length,a=i.le(e,t),o=this._scratch[0],s=this._state,l=this._velocity,c=this.dimension;if(a>=r-1)for(var u=s.length-1,f=(e[r-1],0);f<c;++f,--u)o[f]=l[u];else{u=c*(a+1)-1;var h=e[a],p=e[a+1]-h||1,d=this._scratch[1],m=this._scratch[2],g=this._scratch[3],v=this._scratch[4],y=!0;for(f=0;f<c;++f,--u)d[f]=s[u],g[f]=l[u]*p,m[f]=s[u+c],v[f]=l[u+c]*p,y=y&&d[f]===m[f]&&g[f]===v[f]&&0===g[f];if(y)for(f=0;f<c;++f)o[f]=0;else{n.derivative(d,g,m,v,(t-h)/p,o);for(f=0;f<c;++f)o[f]/=p}}return o},s.lastT=function(){var t=this._time;return t[t.length-1]},s.stable=function(){for(var t=this._velocity,e=t.length,r=this.dimension-1;r>=0;--r)if(t[--e])return!1;return!0},s.jump=function(t){var e=this.lastT(),r=this.dimension;if(!(t<e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1];this._time.push(e,t);for(var u=0;u<2;++u)for(var f=0;f<r;++f)n.push(n[o++]),i.push(0);this._time.push(t);for(f=r;f>0;--f)n.push(a(l[f-1],c[f-1],arguments[f])),i.push(0)}},s.push=function(t){var e=this.lastT(),r=this.dimension;if(!(t<e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=t-e,l=this.bounds,c=l[0],u=l[1],f=s>1e-6?1/s:0;this._time.push(t);for(var h=r;h>0;--h){var p=a(c[h-1],u[h-1],arguments[h]);n.push(p),i.push((p-n[o++])*f)}}},s.set=function(t){var e=this.dimension;if(!(t<this.lastT()||arguments.length!==e+1)){var r=this._state,n=this._velocity,i=this.bounds,o=i[0],s=i[1];this._time.push(t);for(var l=e;l>0;--l)r.push(a(o[l-1],s[l-1],arguments[l])),n.push(0)}},s.move=function(t){var e=this.lastT(),r=this.dimension;if(!(t<=e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1],u=t-e,f=u>1e-6?1/u:0;this._time.push(t);for(var h=r;h>0;--h){var p=arguments[h];n.push(a(l[h-1],c[h-1],n[o++]+p)),i.push(p*f)}}},s.idle=function(t){var e=this.lastT();if(!(t<e)){var r=this.dimension,n=this._state,i=this._velocity,o=n.length-r,s=this.bounds,l=s[0],c=s[1],u=t-e;this._time.push(t);for(var f=r-1;f>=0;--f)n.push(a(l[f],c[f],n[o]+u*i[o])),i.push(0),o+=1}}},{"binary-search-bounds":31,"cubic-hermite":62}],69:[function(t,e,r){"use strict";e.exports=function(t){return new s(t||m,null)};function n(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function i(t){return new n(t._color,t.key,t.value,t.left,t.right,t._count)}function a(t,e){return new n(t,e.key,e.value,e.left,e.right,e._count)}function o(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function s(t,e){this._compare=t,this.root=e}var l=s.prototype;function c(t,e){var r;if(e.left&&(r=c(t,e.left)))return r;return(r=t(e.key,e.value))||(e.right?c(t,e.right):void 0)}function u(t,e,r,n){if(e(t,n.key)<=0){var i;if(n.left)if(i=u(t,e,r,n.left))return i;if(i=r(n.key,n.value))return i}if(n.right)return u(t,e,r,n.right)}function f(t,e,r,n,i){var a,o=r(t,i.key),s=r(e,i.key);if(o<=0){if(i.left&&(a=f(t,e,r,n,i.left)))return a;if(s>0&&(a=n(i.key,i.value)))return a}if(s>0&&i.right)return f(t,e,r,n,i.right)}function h(t,e){this.tree=t,this._stack=e}Object.defineProperty(l,"keys",{get:function(){var t=[];return this.forEach((function(e,r){t.push(e)})),t}}),Object.defineProperty(l,"values",{get:function(){var t=[];return this.forEach((function(e,r){t.push(r)})),t}}),Object.defineProperty(l,"length",{get:function(){return this.root?this.root._count:0}}),l.insert=function(t,e){for(var r=this._compare,i=this.root,l=[],c=[];i;){var u=r(t,i.key);l.push(i),c.push(u),i=u<=0?i.left:i.right}l.push(new n(0,t,e,null,null,1));for(var f=l.length-2;f>=0;--f){i=l[f];c[f]<=0?l[f]=new n(i._color,i.key,i.value,l[f+1],i.right,i._count+1):l[f]=new n(i._color,i.key,i.value,i.left,l[f+1],i._count+1)}for(f=l.length-1;f>1;--f){var h=l[f-1];i=l[f];if(1===h._color||1===i._color)break;var p=l[f-2];if(p.left===h)if(h.left===i){if(!(d=p.right)||0!==d._color){if(p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=i,o(p),o(h),f>=3)(m=l[f-3]).left===p?m.left=h:m.right=h;break}h._color=1,p.right=a(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){if(h.right=i.left,p._color=0,p.left=i.right,i._color=1,i.left=h,i.right=p,l[f-2]=i,l[f-1]=h,o(p),o(h),o(i),f>=3)(m=l[f-3]).left===p?m.left=i:m.right=i;break}h._color=1,p.right=a(1,d),p._color=0,f-=1}else if(h.right===i){if(!(d=p.left)||0!==d._color){if(p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=i,o(p),o(h),f>=3)(m=l[f-3]).right===p?m.right=h:m.left=h;break}h._color=1,p.left=a(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;if(h.left=i.right,p._color=0,p.right=i.left,i._color=1,i.right=h,i.left=p,l[f-2]=i,l[f-1]=h,o(p),o(h),o(i),f>=3)(m=l[f-3]).right===p?m.right=i:m.left=i;break}h._color=1,p.left=a(1,d),p._color=0,f-=1}}return l[0]._color=1,new s(r,l[0])},l.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return c(t,this.root);case 2:return u(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return f(e,r,this._compare,t,this.root)}},Object.defineProperty(l,"begin",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new h(this,t)}}),Object.defineProperty(l,"end",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new h(this,t)}}),l.at=function(t){if(t<0)return new h(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new h(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new h(this,[])},l.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,"valid",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,"node",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),i=t("./lib/lines.js"),a=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var m=l("labels");l("labelFont")&&(m=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":71,"./lib/cube.js":72,"./lib/lines.js":73,"./lib/text.js":75,"./lib/ticks.js":76}],71:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],72:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t("bit-twiddle"),i=t("gl-mat4/multiply"),a=t("split-polygon"),o=t("robust-orientation"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{"bit-twiddle":32,"gl-mat4/multiply":100,"robust-orientation":284,"split-polygon":300}],73:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],74:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t("_process"))},{"./shaders":74,_process:5,"gl-buffer":78,"gl-vao":150,"vectorize-text":311}],76:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var f=""+c;f.length<i;)f="0"+f;return u+"."+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{"./lib/cube.js":72,"extract-frustum-planes":67,"gl-mat4/multiply":100,"gl-mat4/transpose":109,"gl-vec4/transformMat4":221,"split-polygon":300}],78:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],79:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:"cone"})}},{"./create_mesh":80,"./lib/shaders":81,"gl-vec3":169}],80:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259}],81:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],83:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":82}],84:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":85,"gl-buffer":78,"gl-vao":150}],85:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":132,glslify:231}],86:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;"depth"in n&&(m=!!n.depth);var g=!1;"stencil"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":146}],87:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var m=parseInt(d.split(":")[2]);if(isNaN(m))throw new Error(n("Could not parse error: %s",d));h[m]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":9,"gl-constants/lookup":83,"glsl-shader-name":223,"sprintf-js":301}],88:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":89,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"iota-array":235,"typedarray-pool":308}],89:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:231}],90:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":132,glslify:231}],91:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{"./lib/shaders":90,"binary-search-bounds":31,"gl-buffer":78,"gl-texture2d":146,"gl-vao":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],94:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],95:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],96:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,"polytope-closest-point/lib/closest_point_2d.js":270}],111:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:231}],112:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),f=t("colormap"),h=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),m=t("./lib/closest-point"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{"./lib/closest-point":110,"./lib/shaders":111,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259,normals:261,"simplicial-complex-contour":291,"typedarray-pool":308}],113:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],114:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132}],115:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],116:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:231}],117:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"text-cache":303}],118:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":113,"./lib/grid":114,"./lib/line":115,"./lib/text":117,"gl-select-static":131}],119:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":7,"has-passive-events":232,"mouse-change":247,"mouse-event-offset":248,"mouse-wheel":250,"right-now":278}],120:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":132,glslify:231}],121:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),f=t("gl-mat4/perspective"),h=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement("canvas"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error("webgl not supported");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener("resize",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener("webglcontextlost",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{"./camera.js":119,"./lib/shader":120,"a-big-triangle":8,"gl-axes3d":70,"gl-axes3d/properties":77,"gl-fbo":86,"gl-mat4/ortho":101,"gl-mat4/perspective":102,"gl-select-static":131,"gl-spikes3d":141,"is-mobile":238,"mouse-change":247}],122:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:231}],123:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":122,"gl-buffer":78,"gl-shader":132,"typedarray-pool":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],126:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{"vectorize-text":311}],127:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{"gl-shader":132,glslify:231}],128:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/get-simple-string":125,"./lib/glyphs":126,"./lib/shaders":127,"gl-buffer":78,"gl-mat4/multiply":100,"gl-vao":150,"is-string-blank":239,"typedarray-pool":308}],129:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:231}],130:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":129,"gl-buffer":78,"gl-shader":132}],131:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{"bit-twiddle":32,"gl-fbo":86,ndarray:259,"typedarray-pool":308}],132:[function(t,e,r){"use strict";var n=t("./lib/create-uniforms"),i=t("./lib/create-attributes"),a=t("./lib/reflect"),o=t("./lib/shader-cache"),s=t("./lib/runtime-reflect"),l=t("./lib/GLError");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var h=this,p=h.gl,d=h._vref;h._vref=o.shader(p,p.VERTEX_SHADER,t),d&&d.dispose(),h.vertShader=h._vref.shader;var m=this._fref;if(h._fref=o.shader(p,p.FRAGMENT_SHADER,e),m&&m.dispose(),h.fragShader=h._fref.shader,!r||!c){var g=p.createProgram();if(p.attachShader(g,h.fragShader),p.attachShader(g,h.vertShader),p.linkProgram(g),!p.getProgramParameter(g,p.LINK_STATUS)){var v=p.getProgramInfoLog(g);throw new l(v,"Error linking program:"+v)}r=r||s.uniforms(p,g),c=c||s.attributes(p,g),p.deleteProgram(g)}(c=c.slice()).sort(f);var y,x=[],b=[],_=[];for(y=0;y<c.length;++y){var w=c[y];if(w.type.indexOf("mat")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+"["+A+"]"),"number"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&"number"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),"number"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,"uniforms",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return a.update(e,r,n,i),a}},{"./lib/GLError":133,"./lib/create-attributes":134,"./lib/create-uniforms":135,"./lib/reflect":136,"./lib/runtime-reflect":137,"./lib/shader-cache":138}],133:[function(t,e,r){function n(t,e,r){this.shortMessage=e||"",this.longMessage=r||"",this.rawError=t||"",this.message="gl-shader: "+(e||t||"")+(r?"\n"+r:""),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name="GLError",n.prototype.constructor=n,e.exports=n},{}],134:[function(t,e,r){"use strict";e.exports=function(t,e,r,i){for(var a={},o=0,c=r.length;o<c;++o){var u=r[o],f=u.name,h=u.type,p=u.locations;switch(h){case"bool":case"int":case"float":s(t,e,p[0],i,1,a,f);break;default:if(h.indexOf("vec")>=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+f+": "+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+f+": "+h);l(t,e,p,i,d,a,f)}}}return a};var n=t("./GLError");function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;a.pointer=function(t,e,r,n){var i=this._gl,a=this._locations[this._index];i.vertexAttribPointer(a,this._dimension,t||i.FLOAT,!!e,r||0,n||0),i.enableVertexAttribArray(a)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}});var o=[function(t,e,r){return void 0===r.length?t.vertexAttrib1f(e,r):t.vertexAttrib1fv(e,r)},function(t,e,r,n){return void 0===r.length?t.vertexAttrib2f(e,r,n):t.vertexAttrib2fv(e,r)},function(t,e,r,n,i){return void 0===r.length?t.vertexAttrib3f(e,r,n,i):t.vertexAttrib3fv(e,r)},function(t,e,r,n,i,a){return void 0===r.length?t.vertexAttrib4f(e,r,n,i,a):t.vertexAttrib4fv(e,r)}];function s(t,e,r,n,a,s,l){var c=o[a],u=new i(t,e,r,n,a,c);Object.defineProperty(s,l,{set:function(e){return t.disableVertexAttribArray(n[r]),c(t,n[r],e),e},get:function(){return u},enumerable:!0})}function l(t,e,r,n,i,a,o){for(var l=new Array(i),c=new Array(i),u=0;u<i;++u)s(t,e,r[u],n,i,l,u),c[u]=l[u];Object.defineProperty(l,"location",{set:function(t){if(Array.isArray(t))for(var e=0;e<i;++e)c[e].location=t[e];else for(e=0;e<i;++e)c[e].location=t+e;return t},get:function(){for(var t=new Array(i),e=0;e<i;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,a,o,s){e=e||t.FLOAT,a=!!a,o=o||i*i,s=s||0;for(var l=0;l<i;++l){var c=n[r[l]];t.vertexAttribPointer(c,i,e,a,o,s+l*i),t.enableVertexAttribArray(c)}};var f=new Array(i),h=t["vertexAttrib"+i+"fv"];Object.defineProperty(a,o,{set:function(e){for(var a=0;a<i;++a){var o=n[r[a]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))h.call(t,o,e[a]);else{for(var s=0;s<i;++s)f[s]=e[i*a+s];h.call(t,o,f)}}return e},get:function(){return l},enumerable:!0})}},{"./GLError":133}],135:[function(t,e,r){"use strict";var n=t("./reflect"),i=t("./GLError");function a(t){return function(){return t}}function o(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=e;return r}e.exports=function(t,e,r,s){function l(e){return function(n){for(var a=function t(e,r){if("object"!=typeof r)return[[e,r]];var n=[];for(var i in r){var a=r[i],o=e;parseInt(i)+""===i?o+="["+i+"]":o+="."+i,"object"==typeof a?n.push.apply(n,t(o,a)):n.push([o,a])}return n}("",e),o=0;o<a.length;++o){var l=a[o],c=l[0],u=l[1];if(s[u]){var f=n;if("string"==typeof c&&(0===c.indexOf(".")||0===c.indexOf("["))){var h=c;if(0===c.indexOf(".")&&(h=c.slice(1)),h.indexOf("]")===h.length-1){var p=h.indexOf("["),d=h.slice(0,p),m=h.slice(p+1,h.length-1);f=d?n[d][m]:n[m]}else f=n[h]}var g,v=r[u].type;switch(v){case"bool":case"int":case"sampler2D":case"samplerCube":t.uniform1i(s[u],f);break;case"float":t.uniform1f(s[u],f);break;default:var y=v.indexOf("vec");if(!(0<=y&&y<=1&&v.length===4+y)){if(0===v.indexOf("mat")&&4===v.length){if((g=v.charCodeAt(v.length-1)-48)<2||g>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+v);t["uniformMatrix"+g+"fv"](s[u],!1,f);break}throw new i("","Unknown uniform data type for "+name+": "+v)}if((g=v.charCodeAt(v.length-1)-48)<2||g>4)throw new i("","Invalid data type");switch(v.charAt(0)){case"b":case"i":t["uniform"+g+"iv"](s[u],f);break;case"v":t["uniform"+g+"fv"](s[u],f);break;default:throw new i("","Unrecognized data type for vector "+name+": "+v)}}}}}}function c(t,e,n){if("object"==typeof n){var c=u(n);Object.defineProperty(t,e,{get:a(c),set:l(n),enumerable:!0,configurable:!1})}else s[n]?Object.defineProperty(t,e,{get:(f=n,function(t,e,r){return t.getUniform(e.program,r[f])}),set:l(n),enumerable:!0,configurable:!1}):t[e]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[n].type);var f}function u(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r<t.length;++r)c(e,r,t[r])}else for(var n in e={},t)c(e,n,t[n]);return e}var f=n(r,!0);return{get:a(u(f)),set:l(f),enumerable:!0,configurable:!0}}},{"./GLError":133,"./reflect":136}],136:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r={},n=0;n<t.length;++n)for(var i=t[n].name.split("."),a=r,o=0;o<i.length;++o){var s=i[o].split("[");if(s.length>1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l<s.length;++l){var c=parseInt(s[l]);l<s.length-1||o<i.length-1?(c in a||(l<s.length-1?a[c]=[]:a[c]={}),a=a[c]):a[c]=e?n:t[n].type}}else o<i.length-1?(s[0]in a||(a[s[0]]={}),a=a[s[0]]):a[s[0]]=e?n:t[n].type}return r}},{}],137:[function(t,e,r){"use strict";r.uniforms=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),n=[],i=0;i<r;++i){var o=t.getActiveUniform(e,i);if(o){var s=a(t,o.type);if(o.size>1)for(var l=0;l<o.size;++l)n.push({name:o.name.replace("[0]","["+l+"]"),type:s});else n.push({name:o.name,type:s})}}return n},r.attributes=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),n=[],i=0;i<r;++i){var o=t.getActiveAttrib(e,i);o&&n.push({name:o.name,type:a(t,o.type)})}return n};var n={FLOAT:"float",FLOAT_VEC2:"vec2",FLOAT_VEC3:"vec3",FLOAT_VEC4:"vec4",INT:"int",INT_VEC2:"ivec2",INT_VEC3:"ivec3",INT_VEC4:"ivec4",BOOL:"bool",BOOL_VEC2:"bvec2",BOOL_VEC3:"bvec3",BOOL_VEC4:"bvec4",FLOAT_MAT2:"mat2",FLOAT_MAT3:"mat3",FLOAT_MAT4:"mat4",SAMPLER_2D:"sampler2D",SAMPLER_CUBE:"samplerCube"},i=null;function a(t,e){if(!i){var r=Object.keys(n);i={};for(var a=0;a<r.length;++a){var o=r[a];i[t[o]]=n[o]}}return i[e]}},{}],138:[function(t,e,r){"use strict";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,i){return u(t).getProgram(e,r,n,i)};var n=t("./GLError"),i=t("gl-format-compiler-error"),a=new("undefined"==typeof WeakMap?t("weakmap-shim"):WeakMap),o=0;function s(t,e,r,n,i,a,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=a,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=a.get(t);return e||(e=new l(t),a.set(t,e)),e}c.getShaderReference=function(t,e){var r=this.gl,a=this.shaders[t===r.FRAGMENT_SHADER|0],l=a[e];if(l&&r.isShader(l.shader))l.count+=1;else{var c=function(t,e,r){var a=t.createShader(e);if(t.shaderSource(a,r),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(a);try{var s=i(o,r,e)}catch(t){throw console.warn("Failed to format compiler error: "+t),new n(o,"Error compiling shader:\n"+o)}throw new n(o,s.short,s.long)}return a}(r,t,e);l=a[e]=new s(o++,e,t,c,[],1,this)}return l},c.getProgram=function(t,e,r,i){var a=[t.id,e.id,r.join(":"),i.join(":")].join("@"),o=this.programs[a];return o&&this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,"Error linking program: "+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{"./GLError":133,"gl-format-compiler-error":87,"weakmap-shim":316}],139:[function(t,e,r){"use strict";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}e.exports=function(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r};var i=n.prototype;i.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},i.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],140:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":132,glslify:231}],141:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":140,"gl-buffer":78,"gl-vao":150}],142:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:231}],143:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t("./lib/shaders"),f=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":142,"gl-cone3d":79,"gl-vec3":169,"gl-vec4":205}],144:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":132,glslify:231}],145:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||"jet",g.update(v),g};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),f=t("ndarray"),h=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),m=t("binary-search-bounds"),g=t("ndarray-gradient"),v=t("./lib/shaders"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],"mirror");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":144,"binary-search-bounds":31,"bit-twiddle":32,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-texture2d":146,"gl-vao":150,ndarray:259,"ndarray-gradient":252,"ndarray-ops":254,"ndarray-pack":255,"surface-nets":302,"typedarray-pool":308}],146:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||c(t);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=m(o,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,l=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r="uint8");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");d=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,c,u){var h=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var d=0,g=0,v=m(p,u.stride.slice());"float32"===h?d=t.FLOAT:"float64"===h?(d=t.FLOAT,v=!1,h="float32"):"uint8"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,h="uint8");if(2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");g=t.RGBA}p[2]}g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s);if(g!==s)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],147:[function(t,e,r){"use strict";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error("gl-vao: Too many vertex attributes");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,c=!!a.normalized,u=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,c,u,f)}else{if("number"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error("gl-vao: Invalid vertex attribute");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else{t.bindBuffer(t.ARRAY_BUFFER,null);for(i=0;i<n;++i)t.disableVertexAttribArray(i)}}},{}],148:[function(t,e,r){"use strict";var n=t("./do-bind.js");function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return new i(t)}},{"./do-bind.js":147}],149:[function(t,e,r){"use strict";var n=t("./do-bind.js");function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function a(t,e,r){this.gl=t,this._ext=e,this.handle=r,this._attribs=[],this._useElements=!1,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(t){switch(this.dimension){case 1:t.vertexAttrib1f(this.location,this.a);break;case 2:t.vertexAttrib2f(this.location,this.a,this.b);break;case 3:t.vertexAttrib3f(this.location,this.a,this.b,this.c);break;case 4:t.vertexAttrib4f(this.location,this.a,this.b,this.c,this.d)}},a.prototype.bind=function(){this._ext.bindVertexArrayOES(this.handle);for(var t=0;t<this._attribs.length;++t)this._attribs[t].bind(this.gl)},a.prototype.unbind=function(){this._ext.bindVertexArrayOES(null)},a.prototype.dispose=function(){this._ext.deleteVertexArrayOES(this.handle)},a.prototype.update=function(t,e,r){if(this.bind(),n(this.gl,e,t),this.unbind(),this._attribs.length=0,t)for(var a=0;a<t.length;++a){var o=t[a];"number"==typeof o?this._attribs.push(new i(a,1,o)):Array.isArray(o)&&this._attribs.push(new i(a,o.length,o[0],o[1],o[2],o[3]))}this._useElements=!!e,this._elementsType=r||this.gl.UNSIGNED_SHORT},a.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._useElements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t,e){return new a(t,e,e.createVertexArrayOES())}},{"./do-bind.js":147}],150:[function(t,e,r){"use strict";var n=t("./lib/vao-native.js"),i=t("./lib/vao-emulated.js");function a(t){this.bindVertexArrayOES=t.bindVertexArray.bind(t),this.createVertexArrayOES=t.createVertexArray.bind(t),this.deleteVertexArrayOES=t.deleteVertexArray.bind(t)}e.exports=function(t,e,r,o){var s,l=t.createVertexArray?new a(t):t.getExtension("OES_vertex_array_object");return(s=l?n(t,l):i(t)).update(e,r,o),s}},{"./lib/vao-emulated.js":148,"./lib/vao-native.js":149}],151:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}},{}],152:[function(t,e,r){e.exports=function(t,e){var r=n(t[0],t[1],t[2]),o=n(e[0],e[1],e[2]);i(r,r),i(o,o);var s=a(r,o);return s>1?0:Math.acos(s)};var n=t("./fromValues"),i=t("./normalize"),a=t("./dot")},{"./dot":162,"./fromValues":168,"./normalize":179}],153:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.ceil(e[0]),t[1]=Math.ceil(e[1]),t[2]=Math.ceil(e[2]),t}},{}],154:[function(t,e,r){e.exports=function(t){var e=new Float32Array(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}},{}],155:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}},{}],156:[function(t,e,r){e.exports=function(){var t=new Float32Array(3);return t[0]=0,t[1]=0,t[2]=0,t}},{}],157:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}},{}],158:[function(t,e,r){e.exports=t("./distance")},{"./distance":159}],159:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return Math.sqrt(r*r+n*n+i*i)}},{}],160:[function(t,e,r){e.exports=t("./divide")},{"./divide":161}],161:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]/r[0],t[1]=e[1]/r[1],t[2]=e[2]/r[2],t}},{}],162:[function(t,e,r){e.exports=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]}},{}],163:[function(t,e,r){e.exports=1e-6},{}],164:[function(t,e,r){e.exports=function(t,e){var r=t[0],i=t[1],a=t[2],o=e[0],s=e[1],l=e[2];return Math.abs(r-o)<=n*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(i-s)<=n*Math.max(1,Math.abs(i),Math.abs(s))&&Math.abs(a-l)<=n*Math.max(1,Math.abs(a),Math.abs(l))};var n=t("./epsilon")},{"./epsilon":163}],165:[function(t,e,r){e.exports=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]}},{}],166:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.floor(e[0]),t[1]=Math.floor(e[1]),t[2]=Math.floor(e[2]),t}},{}],167:[function(t,e,r){e.exports=function(t,e,r,i,a,o){var s,l;e||(e=3);r||(r=0);l=i?Math.min(i*e+r,t.length):t.length;for(s=r;s<l;s+=e)n[0]=t[s],n[1]=t[s+1],n[2]=t[s+2],a(n,n,o),t[s]=n[0],t[s+1]=n[1],t[s+2]=n[2];return t};var n=t("./create")()},{"./create":156}],168:[function(t,e,r){e.exports=function(t,e,r){var n=new Float32Array(3);return n[0]=t,n[1]=e,n[2]=r,n}},{}],169:[function(t,e,r){e.exports={EPSILON:t("./epsilon"),create:t("./create"),clone:t("./clone"),angle:t("./angle"),fromValues:t("./fromValues"),copy:t("./copy"),set:t("./set"),equals:t("./equals"),exactEquals:t("./exactEquals"),add:t("./add"),subtract:t("./subtract"),sub:t("./sub"),multiply:t("./multiply"),mul:t("./mul"),divide:t("./divide"),div:t("./div"),min:t("./min"),max:t("./max"),floor:t("./floor"),ceil:t("./ceil"),round:t("./round"),scale:t("./scale"),scaleAndAdd:t("./scaleAndAdd"),distance:t("./distance"),dist:t("./dist"),squaredDistance:t("./squaredDistance"),sqrDist:t("./sqrDist"),length:t("./length"),len:t("./len"),squaredLength:t("./squaredLength"),sqrLen:t("./sqrLen"),negate:t("./negate"),inverse:t("./inverse"),normalize:t("./normalize"),dot:t("./dot"),cross:t("./cross"),lerp:t("./lerp"),random:t("./random"),transformMat4:t("./transformMat4"),transformMat3:t("./transformMat3"),transformQuat:t("./transformQuat"),rotateX:t("./rotateX"),rotateY:t("./rotateY"),rotateZ:t("./rotateZ"),forEach:t("./forEach")}},{"./add":151,"./angle":152,"./ceil":153,"./clone":154,"./copy":155,"./create":156,"./cross":157,"./dist":158,"./distance":159,"./div":160,"./divide":161,"./dot":162,"./epsilon":163,"./equals":164,"./exactEquals":165,"./floor":166,"./forEach":167,"./fromValues":168,"./inverse":170,"./len":171,"./length":172,"./lerp":173,"./max":174,"./min":175,"./mul":176,"./multiply":177,"./negate":178,"./normalize":179,"./random":180,"./rotateX":181,"./rotateY":182,"./rotateZ":183,"./round":184,"./scale":185,"./scaleAndAdd":186,"./set":187,"./sqrDist":188,"./sqrLen":189,"./squaredDistance":190,"./squaredLength":191,"./sub":192,"./subtract":193,"./transformMat3":194,"./transformMat4":195,"./transformQuat":196}],170:[function(t,e,r){e.exports=function(t,e){return t[0]=1/e[0],t[1]=1/e[1],t[2]=1/e[2],t}},{}],171:[function(t,e,r){e.exports=t("./length")},{"./length":172}],172:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2];return Math.sqrt(e*e+r*r+n*n)}},{}],173:[function(t,e,r){e.exports=function(t,e,r,n){var i=e[0],a=e[1],o=e[2];return t[0]=i+n*(r[0]-i),t[1]=a+n*(r[1]-a),t[2]=o+n*(r[2]-o),t}},{}],174:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.max(e[0],r[0]),t[1]=Math.max(e[1],r[1]),t[2]=Math.max(e[2],r[2]),t}},{}],175:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.min(e[0],r[0]),t[1]=Math.min(e[1],r[1]),t[2]=Math.min(e[2],r[2]),t}},{}],176:[function(t,e,r){e.exports=t("./multiply")},{"./multiply":177}],177:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t}},{}],178:[function(t,e,r){e.exports=function(t,e){return t[0]=-e[0],t[1]=-e[1],t[2]=-e[2],t}},{}],179:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;a>0&&(a=1/Math.sqrt(a),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a);return t}},{}],180:[function(t,e,r){e.exports=function(t,e){e=e||1;var r=2*Math.random()*Math.PI,n=2*Math.random()-1,i=Math.sqrt(1-n*n)*e;return t[0]=Math.cos(r)*i,t[1]=Math.sin(r)*i,t[2]=n*e,t}},{}],181:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[1],a=r[2],o=e[1]-i,s=e[2]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=e[0],t[1]=i+o*c-s*l,t[2]=a+o*l+s*c,t}},{}],182:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[0],a=r[2],o=e[0]-i,s=e[2]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=i+s*l+o*c,t[1]=e[1],t[2]=a+s*c-o*l,t}},{}],183:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[0],a=r[1],o=e[0]-i,s=e[1]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=i+o*c-s*l,t[1]=a+o*l+s*c,t[2]=e[2],t}},{}],184:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.round(e[0]),t[1]=Math.round(e[1]),t[2]=Math.round(e[2]),t}},{}],185:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}},{}],186:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t}},{}],187:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e,t[1]=r,t[2]=n,t}},{}],188:[function(t,e,r){e.exports=t("./squaredDistance")},{"./squaredDistance":190}],189:[function(t,e,r){e.exports=t("./squaredLength")},{"./squaredLength":191}],190:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return r*r+n*n+i*i}},{}],191:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2];return e*e+r*r+n*n}},{}],192:[function(t,e,r){e.exports=t("./subtract")},{"./subtract":193}],193:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t}},{}],194:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2];return t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8],t}},{}],195:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[3]*n+r[7]*i+r[11]*a+r[15];return o=o||1,t[0]=(r[0]*n+r[4]*i+r[8]*a+r[12])/o,t[1]=(r[1]*n+r[5]*i+r[9]*a+r[13])/o,t[2]=(r[2]*n+r[6]*i+r[10]*a+r[14])/o,t}},{}],196:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2],c=r[3],u=c*n+s*a-l*i,f=c*i+l*n-o*a,h=c*a+o*i-s*n,p=-o*n-s*i-l*a;return t[0]=u*c+p*-o+f*-l-h*-s,t[1]=f*c+p*-s+h*-o-u*-l,t[2]=h*c+p*-l+u*-s-f*-o,t}},{}],197:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t}},{}],198:[function(t,e,r){e.exports=function(t){var e=new Float32Array(4);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e}},{}],199:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t}},{}],200:[function(t,e,r){e.exports=function(){var t=new Float32Array(4);return t[0]=0,t[1]=0,t[2]=0,t[3]=0,t}},{}],201:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2],a=e[3]-t[3];return Math.sqrt(r*r+n*n+i*i+a*a)}},{}],202:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]/r[0],t[1]=e[1]/r[1],t[2]=e[2]/r[2],t[3]=e[3]/r[3],t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]}},{}],204:[function(t,e,r){e.exports=function(t,e,r,n){var i=new Float32Array(4);return i[0]=t,i[1]=e,i[2]=r,i[3]=n,i}},{}],205:[function(t,e,r){e.exports={create:t("./create"),clone:t("./clone"),fromValues:t("./fromValues"),copy:t("./copy"),set:t("./set"),add:t("./add"),subtract:t("./subtract"),multiply:t("./multiply"),divide:t("./divide"),min:t("./min"),max:t("./max"),scale:t("./scale"),scaleAndAdd:t("./scaleAndAdd"),distance:t("./distance"),squaredDistance:t("./squaredDistance"),length:t("./length"),squaredLength:t("./squaredLength"),negate:t("./negate"),inverse:t("./inverse"),normalize:t("./normalize"),dot:t("./dot"),lerp:t("./lerp"),random:t("./random"),transformMat4:t("./transformMat4"),transformQuat:t("./transformQuat")}},{"./add":197,"./clone":198,"./copy":199,"./create":200,"./distance":201,"./divide":202,"./dot":203,"./fromValues":204,"./inverse":206,"./length":207,"./lerp":208,"./max":209,"./min":210,"./multiply":211,"./negate":212,"./normalize":213,"./random":214,"./scale":215,"./scaleAndAdd":216,"./set":217,"./squaredDistance":218,"./squaredLength":219,"./subtract":220,"./transformMat4":221,"./transformQuat":222}],206:[function(t,e,r){e.exports=function(t,e){return t[0]=1/e[0],t[1]=1/e[1],t[2]=1/e[2],t[3]=1/e[3],t}},{}],207:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3];return Math.sqrt(e*e+r*r+n*n+i*i)}},{}],208:[function(t,e,r){e.exports=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3];return t[0]=i+n*(r[0]-i),t[1]=a+n*(r[1]-a),t[2]=o+n*(r[2]-o),t[3]=s+n*(r[3]-s),t}},{}],209:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.max(e[0],r[0]),t[1]=Math.max(e[1],r[1]),t[2]=Math.max(e[2],r[2]),t[3]=Math.max(e[3],r[3]),t}},{}],210:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.min(e[0],r[0]),t[1]=Math.min(e[1],r[1]),t[2]=Math.min(e[2],r[2]),t[3]=Math.min(e[3],r[3]),t}},{}],211:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t}},{}],212:[function(t,e,r){e.exports=function(t,e){return t[0]=-e[0],t[1]=-e[1],t[2]=-e[2],t[3]=-e[3],t}},{}],213:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*r+n*n+i*i+a*a;o>0&&(o=1/Math.sqrt(o),t[0]=r*o,t[1]=n*o,t[2]=i*o,t[3]=a*o);return t}},{}],214:[function(t,e,r){var n=t("./normalize"),i=t("./scale");e.exports=function(t,e){return e=e||1,t[0]=Math.random(),t[1]=Math.random(),t[2]=Math.random(),t[3]=Math.random(),n(t,t),i(t,t,e),t}},{"./normalize":213,"./scale":215}],215:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n,i){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t}},{}],218:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2],a=e[3]-t[3];return r*r+n*n+i*i+a*a}},{}],219:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3];return e*e+r*r+n*n+i*i}},{}],220:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}},{}],222:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2],c=r[3],u=c*n+s*a-l*i,f=c*i+l*n-o*a,h=c*a+o*i-s*n,p=-o*n-s*i-l*a;return t[0]=u*c+p*-o+f*-l-h*-s,t[1]=f*c+p*-s+h*-o-u*-l,t[2]=h*c+p*-l+u*-s-f*-o,t[3]=e[3],t}},{}],223:[function(t,e,r){var n=t("glsl-tokenizer"),i=t("atob-lite");e.exports=function(t){for(var e=Array.isArray(t)?t:n(t),r=0;r<e.length;r++){var a=e[r];if("preprocessor"===a.type){var o=a.data.match(/\#define\s+SHADER_NAME(_B64)?\s+(.+)$/);if(o&&o[2]){var s=o[1],l=o[2];return(s?i(l):l).trim()}}}}},{"atob-lite":13,"glsl-tokenizer":230}],224:[function(t,e,r){e.exports=function(t){var e,r,c,u=0,f=0,h=999,p=[],d=[],m=1,g=0,v=0,y=!1,x=!1,b="",_=a,w=n;"300 es"===(t=t||{}).version&&(_=s,w=o);var T={},k={};for(u=0;u<_.length;u++)T[_[u]]=!0;for(u=0;u<w.length;u++)k[w[u]]=!0;return function(t){return d=[],null!==t?function(t){u=0,t.toString&&(t=t.toString());var r;b+=t.replace(/\r\n/g,"\n"),c=b.length;for(;e=b[u],u<c;){switch(r=u,h){case 0:u=L();break;case 1:case 2:u=E();break;case 3:u=C();break;case 4:u=O();break;case 11:u=I();break;case 5:u=z();break;case 9999:u=D();break;case 9:u=S();break;case 999:u=M()}if(r!==u)switch(b[r]){case"\n":g=0,++m;break;default:++g}}return f+=u,b=b.slice(u),d}(t):function(t){p.length&&A(p.join(""));return h=10,A("(eof)"),d}()};function A(t){t.length&&d.push({type:l[h],data:t,position:v,line:m,column:g})}function M(){return p=p.length?[]:p,"/"===r&&"*"===e?(v=f+u-1,h=0,r=e,u+1):"/"===r&&"/"===e?(v=f+u-1,h=1,r=e,u+1):"#"===e?(h=2,v=f+u,u):/\s/.test(e)?(h=9,v=f+u,u):(y=/\d/.test(e),x=/[^\w_]/.test(e),v=f+u,h=y?4:x?3:9999,u)}function S(){return/[^\s]/g.test(e)?(A(p.join("")),h=999,u):(p.push(e),r=e,u+1)}function E(){return"\r"!==e&&"\n"!==e||"\\"===r?(p.push(e),r=e,u+1):(A(p.join("")),h=999,u)}function L(){return"/"===e&&"*"===r?(p.push(e),A(p.join("")),h=999,u+1):(p.push(e),r=e,u+1)}function C(){if("."===r&&/\d/.test(e))return h=5,u;if("/"===r&&"*"===e)return h=0,u;if("/"===r&&"/"===e)return h=1,u;if("."===e&&p.length){for(;P(p););return h=5,u}if(";"===e||")"===e||"("===e){if(p.length)for(;P(p););return A(e),h=999,u+1}var t=2===p.length&&"="!==e;if(/[\w_\d\s]/.test(e)||t){for(;P(p););return h=999,u}return p.push(e),r=e,u+1}function P(t){for(var e,r,n=0;;){if(e=i.indexOf(t.slice(0,t.length+n).join("")),r=i[e],-1===e){if(n--+t.length>0)continue;r=t.slice(0,1).join("")}return A(r),v+=r.length,(p=p.slice(r.length)).length}}function I(){return/[^a-fA-F0-9]/.test(e)?(A(p.join("")),h=999,u):(p.push(e),r=e,u+1)}function O(){return"."===e||/[eE]/.test(e)?(p.push(e),h=5,r=e,u+1):"x"===e&&1===p.length&&"0"===p[0]?(h=11,p.push(e),r=e,u+1):/[^\d]/.test(e)?(A(p.join("")),h=999,u):(p.push(e),r=e,u+1)}function z(){return"f"===e&&(p.push(e),r=e,u+=1),/[eE]/.test(e)?(p.push(e),r=e,u+1):("-"!==e&&"+"!==e||!/[eE]/.test(r))&&/[^\d]/.test(e)?(A(p.join("")),h=999,u):(p.push(e),r=e,u+1)}function D(){if(/[^\d\w_]/.test(e)){var t=p.join("");return h=k[t]?8:T[t]?7:6,A(p.join("")),h=999,u}return p.push(e),r=e,u+1}};var n=t("./lib/literals"),i=t("./lib/operators"),a=t("./lib/builtins"),o=t("./lib/literals-300es"),s=t("./lib/builtins-300es"),l=["block-comment","line-comment","preprocessor","operator","integer","float","ident","builtin","keyword","whitespace","eof","integer"]},{"./lib/builtins":226,"./lib/builtins-300es":225,"./lib/literals":228,"./lib/literals-300es":227,"./lib/operators":229}],225:[function(t,e,r){var n=t("./builtins");n=n.slice().filter((function(t){return!/^(gl\_|texture)/.test(t)})),e.exports=n.concat(["gl_VertexID","gl_InstanceID","gl_Position","gl_PointSize","gl_FragCoord","gl_FrontFacing","gl_FragDepth","gl_PointCoord","gl_MaxVertexAttribs","gl_MaxVertexUniformVectors","gl_MaxVertexOutputVectors","gl_MaxFragmentInputVectors","gl_MaxVertexTextureImageUnits","gl_MaxCombinedTextureImageUnits","gl_MaxTextureImageUnits","gl_MaxFragmentUniformVectors","gl_MaxDrawBuffers","gl_MinProgramTexelOffset","gl_MaxProgramTexelOffset","gl_DepthRangeParameters","gl_DepthRange","trunc","round","roundEven","isnan","isinf","floatBitsToInt","floatBitsToUint","intBitsToFloat","uintBitsToFloat","packSnorm2x16","unpackSnorm2x16","packUnorm2x16","unpackUnorm2x16","packHalf2x16","unpackHalf2x16","outerProduct","transpose","determinant","inverse","texture","textureSize","textureProj","textureLod","textureOffset","texelFetch","texelFetchOffset","textureProjOffset","textureLodOffset","textureProjLod","textureProjLodOffset","textureGrad","textureGradOffset","textureProjGrad","textureProjGradOffset"])},{"./builtins":226}],226:[function(t,e,r){e.exports=["abs","acos","all","any","asin","atan","ceil","clamp","cos","cross","dFdx","dFdy","degrees","distance","dot","equal","exp","exp2","faceforward","floor","fract","gl_BackColor","gl_BackLightModelProduct","gl_BackLightProduct","gl_BackMaterial","gl_BackSecondaryColor","gl_ClipPlane","gl_ClipVertex","gl_Color","gl_DepthRange","gl_DepthRangeParameters","gl_EyePlaneQ","gl_EyePlaneR","gl_EyePlaneS","gl_EyePlaneT","gl_Fog","gl_FogCoord","gl_FogFragCoord","gl_FogParameters","gl_FragColor","gl_FragCoord","gl_FragData","gl_FragDepth","gl_FragDepthEXT","gl_FrontColor","gl_FrontFacing","gl_FrontLightModelProduct","gl_FrontLightProduct","gl_FrontMaterial","gl_FrontSecondaryColor","gl_LightModel","gl_LightModelParameters","gl_LightModelProducts","gl_LightProducts","gl_LightSource","gl_LightSourceParameters","gl_MaterialParameters","gl_MaxClipPlanes","gl_MaxCombinedTextureImageUnits","gl_MaxDrawBuffers","gl_MaxFragmentUniformComponents","gl_MaxLights","gl_MaxTextureCoords","gl_MaxTextureImageUnits","gl_MaxTextureUnits","gl_MaxVaryingFloats","gl_MaxVertexAttribs","gl_MaxVertexTextureImageUnits","gl_MaxVertexUniformComponents","gl_ModelViewMatrix","gl_ModelViewMatrixInverse","gl_ModelViewMatrixInverseTranspose","gl_ModelViewMatrixTranspose","gl_ModelViewProjectionMatrix","gl_ModelViewProjectionMatrixInverse","gl_ModelViewProjectionMatrixInverseTranspose","gl_ModelViewProjectionMatrixTranspose","gl_MultiTexCoord0","gl_MultiTexCoord1","gl_MultiTexCoord2","gl_MultiTexCoord3","gl_MultiTexCoord4","gl_MultiTexCoord5","gl_MultiTexCoord6","gl_MultiTexCoord7","gl_Normal","gl_NormalMatrix","gl_NormalScale","gl_ObjectPlaneQ","gl_ObjectPlaneR","gl_ObjectPlaneS","gl_ObjectPlaneT","gl_Point","gl_PointCoord","gl_PointParameters","gl_PointSize","gl_Position","gl_ProjectionMatrix","gl_ProjectionMatrixInverse","gl_ProjectionMatrixInverseTranspose","gl_ProjectionMatrixTranspose","gl_SecondaryColor","gl_TexCoord","gl_TextureEnvColor","gl_TextureMatrix","gl_TextureMatrixInverse","gl_TextureMatrixInverseTranspose","gl_TextureMatrixTranspose","gl_Vertex","greaterThan","greaterThanEqual","inversesqrt","length","lessThan","lessThanEqual","log","log2","matrixCompMult","max","min","mix","mod","normalize","not","notEqual","pow","radians","reflect","refract","sign","sin","smoothstep","sqrt","step","tan","texture2D","texture2DLod","texture2DProj","texture2DProjLod","textureCube","textureCubeLod","texture2DLodEXT","texture2DProjLodEXT","textureCubeLodEXT","texture2DGradEXT","texture2DProjGradEXT","textureCubeGradEXT"]},{}],227:[function(t,e,r){var n=t("./literals");e.exports=n.slice().concat(["layout","centroid","smooth","case","mat2x2","mat2x3","mat2x4","mat3x2","mat3x3","mat3x4","mat4x2","mat4x3","mat4x4","uvec2","uvec3","uvec4","samplerCubeShadow","sampler2DArray","sampler2DArrayShadow","isampler2D","isampler3D","isamplerCube","isampler2DArray","usampler2D","usampler3D","usamplerCube","usampler2DArray","coherent","restrict","readonly","writeonly","resource","atomic_uint","noperspective","patch","sample","subroutine","common","partition","active","filter","image1D","image2D","image3D","imageCube","iimage1D","iimage2D","iimage3D","iimageCube","uimage1D","uimage2D","uimage3D","uimageCube","image1DArray","image2DArray","iimage1DArray","iimage2DArray","uimage1DArray","uimage2DArray","image1DShadow","image2DShadow","image1DArrayShadow","image2DArrayShadow","imageBuffer","iimageBuffer","uimageBuffer","sampler1DArray","sampler1DArrayShadow","isampler1D","isampler1DArray","usampler1D","usampler1DArray","isampler2DRect","usampler2DRect","samplerBuffer","isamplerBuffer","usamplerBuffer","sampler2DMS","isampler2DMS","usampler2DMS","sampler2DMSArray","isampler2DMSArray","usampler2DMSArray"])},{"./literals":228}],228:[function(t,e,r){e.exports=["precision","highp","mediump","lowp","attribute","const","uniform","varying","break","continue","do","for","while","if","else","in","out","inout","float","int","uint","void","bool","true","false","discard","return","mat2","mat3","mat4","vec2","vec3","vec4","ivec2","ivec3","ivec4","bvec2","bvec3","bvec4","sampler1D","sampler2D","sampler3D","samplerCube","sampler1DShadow","sampler2DShadow","struct","asm","class","union","enum","typedef","template","this","packed","goto","switch","default","inline","noinline","volatile","public","static","extern","external","interface","long","short","double","half","fixed","unsigned","input","output","hvec2","hvec3","hvec4","dvec2","dvec3","dvec4","fvec2","fvec3","fvec4","sampler2DRect","sampler3DRect","sampler2DRectShadow","sizeof","cast","namespace","using"]},{}],229:[function(t,e,r){e.exports=["<<=",">>=","++","--","<<",">>","<=",">=","==","!=","&&","||","+=","-=","*=","/=","%=","&=","^^","^=","|=","(",")","[","]",".","!","~","*","/","%","+","-","<",">","&","^","|","?",":","=",",",";","{","}"]},{}],230:[function(t,e,r){var n=t("./index");e.exports=function(t,e){var r=n(e),i=[];return i=(i=i.concat(r(t))).concat(r(null))}},{"./index":224}],231:[function(t,e,r){e.exports=function(t){"string"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||"");return r.push(t[n]),r.join("")}},{}],232:[function(t,e,r){"use strict";var n=t("is-browser");e.exports=n&&function(){var t=!1;try{var e=Object.defineProperty({},"passive",{get:function(){t=!0}});window.addEventListener("test",null,e),window.removeEventListener("test",null,e)}catch(e){t=!1}return t}()},{"is-browser":236}],233:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error("Must have at least d+1 points");var i=t[0].length;if(r<=i)throw new Error("Must input at least d+1 points");var o=t.slice(0,i+1),s=n.apply(void 0,o);if(0===s)throw new Error("Input not in general position");for(var l=new Array(i+1),u=0;u<=i;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var f=new a(l,new Array(i+1),!1),h=f.adjacent,p=new Array(i+2);for(u=0;u<=i;++u){for(var d=l.slice(),m=0;m<=i;++m)m===u&&(d[m]=-1);var g=d[0];d[0]=d[1],d[1]=g;var v=new a(d,new Array(i+1),!0);h[u]=v,p[u]=v}p[i+1]=f;for(u=0;u<=i;++u){d=h[u].vertices;var y=h[u].adjacent;for(m=0;m<=i;++m){var x=d[m];if(x<0)y[m]=f;else for(var b=0;b<=i;++b)h[b].vertices.indexOf(x)<0&&(y[m]=h[b])}}var _=new c(i,o,p),w=!!e;for(u=i+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t("robust-orientation"),i=t("simplicial-complex").compareCells;function a(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function o(t,e,r){this.vertices=t,this.cell=e,this.index=r}function s(t,e){return i(t.vertices,e.vertices)}a.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var l=[];function c(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter((function(t){return!t.boundary})),this.tuple=new Array(t+1);for(var i=0;i<=t;++i)this.tuple[i]=this.vertices[i];var a,o=l[t];o||(o=l[t]=((a=n[t+1])||(a=n),function(t){return function(){var e=this.tuple;return t.apply(this,e)}}(a))),this.orient=o}var u=c.prototype;u.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;)for(var s=(t=o.pop()).adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,f=0;f<=r;++f){var h=u[f];i[f]=h<0?e:a[h]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)a[u]=i[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var f=c[u];if(!(f.lastVisited>=r)){var h=a[u];a[u]=t;var p=this.orient();if(a[u]=h,p<0){s=f;continue t}f.boundary?f.lastVisited=-r:f.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,f=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var h=[];f.length>0;){var p=(e=f.pop()).vertices,d=e.adjacent,m=p.indexOf(r);if(!(m<0))for(var g=0;g<=n;++g)if(g!==m){var v=d[g];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=i[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),f.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new a(w,T,!0);u.push(k);var A=_.indexOf(e);if(!(A<0)){_[A]=k,T[m]=v,w[g]=-1,T[g]=e,d[g]=k,k.flip();for(b=0;b<=n;++b){var M=w[b];if(!(M<0||M===r)){for(var S=new Array(n-1),E=0,L=0;L<=n;++L){var C=w[L];C<0||L===b||(S[E++]=C)}h.push(new o(S,k,b))}}}}}}h.sort(s);for(g=0;g+1<h.length;g+=2){var P=h[g],I=h[g+1],O=P.index,z=I.index;O<0||z<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var f=o[0];o[0]=o[1],o[1]=f}e.push(o)}}return e}},{"robust-orientation":284,"simplicial-complex":293}],234:[function(t,e,r){"use strict";var n=t("binary-search-bounds");function i(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(g(t))};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=g(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function f(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var i=r(t[n]);if(i)return i}}function h(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function m(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function g(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],a=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?a.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(m),new i(n,g(a),g(o),c,u)}function v(t){this.root=t}a.intervals=function(t){return t.push.apply(t,this.leftPoints),this.left&&this.left.intervals(t),this.right&&this.right.intervals(t),t},a.insert=function(t){var e=this.count-this.leftPoints.length;if(this.count+=1,t[1]<this.mid)this.left?4*(this.left.count+1)>3*(e+1)?l(this,t):this.left.insert(t):this.left=g([t]);else if(t[0]>this.mid)this.right?4*(this.right.count+1)>3*(e+1)?l(this,t):this.right.insert(t):this.right=g([t]);else{var r=n.ge(this.leftPoints,t,d),i=n.ge(this.rightPoints,t,m);this.leftPoints.splice(r,0,t),this.rightPoints.splice(i,0,t)}},a.remove=function(t){var e=this.count-this.leftPoints;if(t[1]<this.mid)return this.left?4*(this.right?this.right.count:0)>3*(e-1)?c(this,t):2===(s=this.left.remove(t))?(this.left=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(t[0]>this.mid)return this.right?4*(this.left?this.left.count:0)>3*(e-1)?c(this,t):2===(s=this.right.remove(t))?(this.right=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(1===this.count)return this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,i=this.left;i.right;)r=i,i=i.right;if(r===this)i.right=this.right;else{var a=this.left,s=this.right;r.count-=i.count,r.right=i.left,i.left=a,i.right=s}o(this,i),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(a=n.ge(this.leftPoints,t,d);a<this.leftPoints.length&&this.leftPoints[a][0]===t[0];++a)if(this.leftPoints[a]===t){this.count-=1,this.leftPoints.splice(a,1);for(s=n.ge(this.rightPoints,t,m);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},a.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return f(this.rightPoints,t,e)}return h(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?f(this.rightPoints,t,r):h(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,"count",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,"intervals",{get:function(){return this.root?this.root.intervals([]):[]}})},{"binary-search-bounds":31}],235:[function(t,e,r){"use strict";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],236:[function(t,e,r){e.exports=!0},{}],237:[function(t,e,r){function n(t){return!!t.constructor&&"function"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}
+!function(t,n){"object"==typeof r&&"undefined"!=typeof e?e.exports=n():t.ES6Promise=n()}(this,(function(){"use strict";function e(t){return"function"==typeof t}var r=Array.isArray?Array.isArray:function(t){return"[object Array]"===Object.prototype.toString.call(t)},a=0,o=void 0,s=void 0,l=function(t,e){g[a]=t,g[a+1]=e,2===(a+=2)&&(s?s(m):_())};var c="undefined"!=typeof window?window:void 0,u=c||{},h=u.MutationObserver||u.WebKitMutationObserver,f="undefined"==typeof self&&"undefined"!=typeof n&&"[object process]"==={}.toString.call(n),p="undefined"!=typeof Uint8ClampedArray&&"undefined"!=typeof importScripts&&"undefined"!=typeof MessageChannel;function d(){var t=setTimeout;return function(){return t(m,1)}}var g=new Array(1e3);function m(){for(var t=0;t<a;t+=2){(0,g[t])(g[t+1]),g[t]=void 0,g[t+1]=void 0}a=0}var v,y,x,b,_=void 0;function w(t,e){var r=this,n=new this.constructor(M);void 0===n[k]&&D(n);var i=r._state;if(i){var a=arguments[i-1];l((function(){return z(i,n,a,r._result)}))}else P(r,n,t,e);return n}function T(t){if(t&&"object"==typeof t&&t.constructor===this)return t;var e=new this(M);return S(e,t),e}f?_=function(){return n.nextTick(m)}:h?(y=0,x=new h(m),b=document.createTextNode(""),x.observe(b,{characterData:!0}),_=function(){b.data=y=++y%2}):p?((v=new MessageChannel).port1.onmessage=m,_=function(){return v.port2.postMessage(0)}):_=void 0===c&&"function"==typeof t?function(){try{var t=Function("return this")().require("vertx");return"undefined"!=typeof(o=t.runOnLoop||t.runOnContext)?function(){o(m)}:d()}catch(t){return d()}}():d();var k=Math.random().toString(36).substring(2);function M(){}function A(t,r,n){r.constructor===t.constructor&&n===w&&r.constructor.resolve===T?function(t,e){1===e._state?C(t,e._result):2===e._state?L(t,e._result):P(e,void 0,(function(e){return S(t,e)}),(function(e){return L(t,e)}))}(t,r):void 0===n?C(t,r):e(n)?function(t,e,r){l((function(t){var n=!1,i=function(t,e,r,n){try{t.call(e,r,n)}catch(t){return t}}(r,e,(function(r){n||(n=!0,e!==r?S(t,r):C(t,r))}),(function(e){n||(n=!0,L(t,e))}),t._label);!n&&i&&(n=!0,L(t,i))}),t)}(t,r,n):C(t,r)}function S(t,e){if(t===e)L(t,new TypeError("You cannot resolve a promise with itself"));else if(i=typeof(n=e),null===n||"object"!==i&&"function"!==i)C(t,e);else{var r=void 0;try{r=e.then}catch(e){return void L(t,e)}A(t,e,r)}var n,i}function E(t){t._onerror&&t._onerror(t._result),I(t)}function C(t,e){void 0===t._state&&(t._result=e,t._state=1,0!==t._subscribers.length&&l(I,t))}function L(t,e){void 0===t._state&&(t._state=2,t._result=e,l(E,t))}function P(t,e,r,n){var i=t._subscribers,a=i.length;t._onerror=null,i[a]=e,i[a+1]=r,i[a+2]=n,0===a&&t._state&&l(I,t)}function I(t){var e=t._subscribers,r=t._state;if(0!==e.length){for(var n=void 0,i=void 0,a=t._result,o=0;o<e.length;o+=3)n=e[o],i=e[o+r],n?z(r,n,i,a):i(a);t._subscribers.length=0}}function z(t,r,n,i){var a=e(n),o=void 0,s=void 0,l=!0;if(a){try{o=n(i)}catch(t){l=!1,s=t}if(r===o)return void L(r,new TypeError("A promises callback cannot return that same promise."))}else o=i;void 0!==r._state||(a&&l?S(r,o):!1===l?L(r,s):1===t?C(r,o):2===t&&L(r,o))}var O=0;function D(t){t[k]=O++,t._state=void 0,t._result=void 0,t._subscribers=[]}var R=function(){function t(t,e){this._instanceConstructor=t,this.promise=new t(M),this.promise[k]||D(this.promise),r(e)?(this.length=e.length,this._remaining=e.length,this._result=new Array(this.length),0===this.length?C(this.promise,this._result):(this.length=this.length||0,this._enumerate(e),0===this._remaining&&C(this.promise,this._result))):L(this.promise,new Error("Array Methods must be provided an Array"))}return t.prototype._enumerate=function(t){for(var e=0;void 0===this._state&&e<t.length;e++)this._eachEntry(t[e],e)},t.prototype._eachEntry=function(t,e){var r=this._instanceConstructor,n=r.resolve;if(n===T){var i=void 0,a=void 0,o=!1;try{i=t.then}catch(t){o=!0,a=t}if(i===w&&void 0!==t._state)this._settledAt(t._state,e,t._result);else if("function"!=typeof i)this._remaining--,this._result[e]=t;else if(r===F){var s=new r(M);o?L(s,a):A(s,t,i),this._willSettleAt(s,e)}else this._willSettleAt(new r((function(e){return e(t)})),e)}else this._willSettleAt(n(t),e)},t.prototype._settledAt=function(t,e,r){var n=this.promise;void 0===n._state&&(this._remaining--,2===t?L(n,r):this._result[e]=r),0===this._remaining&&C(n,this._result)},t.prototype._willSettleAt=function(t,e){var r=this;P(t,void 0,(function(t){return r._settledAt(1,e,t)}),(function(t){return r._settledAt(2,e,t)}))},t}();var F=function(){function t(e){this[k]=O++,this._result=this._state=void 0,this._subscribers=[],M!==e&&("function"!=typeof e&&function(){throw new TypeError("You must pass a resolver function as the first argument to the promise constructor")}(),this instanceof t?function(t,e){try{e((function(e){S(t,e)}),(function(e){L(t,e)}))}catch(e){L(t,e)}}(this,e):function(){throw new TypeError("Failed to construct 'Promise': Please use the 'new' operator, this object constructor cannot be called as a function.")}())}return t.prototype.catch=function(t){return this.then(null,t)},t.prototype.finally=function(t){var r=this.constructor;return e(t)?this.then((function(e){return r.resolve(t()).then((function(){return e}))}),(function(e){return r.resolve(t()).then((function(){throw e}))})):this.then(t,t)},t}();return F.prototype.then=w,F.all=function(t){return new R(this,t).promise},F.race=function(t){var e=this;return r(t)?new e((function(r,n){for(var i=t.length,a=0;a<i;a++)e.resolve(t[a]).then(r,n)})):new e((function(t,e){return e(new TypeError("You must pass an array to race."))}))},F.resolve=T,F.reject=function(t){var e=new this(M);return L(e,t),e},F._setScheduler=function(t){s=t},F._setAsap=function(t){l=t},F._asap=l,F.polyfill=function(){var t=void 0;if("undefined"!=typeof i)t=i;else if("undefined"!=typeof self)t=self;else try{t=Function("return this")()}catch(t){throw new Error("polyfill failed because global object is unavailable in this environment")}var e=t.Promise;if(e){var r=null;try{r=Object.prototype.toString.call(e.resolve())}catch(t){}if("[object Promise]"===r&&!e.cast)return}t.Promise=F},F.Promise=F,F}))}).call(this,t("_process"),"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{_process:500}],225:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?t("ext/global-this").Symbol:t("./polyfill")},{"./is-implemented":226,"./polyfill":231,"ext/global-this":238}],226:[function(t,e,r){"use strict";var n=t("ext/global-this"),i={object:!0,symbol:!0};e.exports=function(){var t,e=n.Symbol;if("function"!=typeof e)return!1;t=e("test symbol");try{String(t)}catch(t){return!1}return!!i[typeof e.iterator]&&(!!i[typeof e.toPrimitive]&&!!i[typeof e.toStringTag])}},{"ext/global-this":238}],227:[function(t,e,r){"use strict";e.exports=function(t){return!!t&&("symbol"==typeof t||!!t.constructor&&("Symbol"===t.constructor.name&&"Symbol"===t[t.constructor.toStringTag]))}},{}],228:[function(t,e,r){"use strict";var n=t("d"),i=Object.create,a=Object.defineProperty,o=Object.prototype,s=i(null);e.exports=function(t){for(var e,r,i=0;s[t+(i||"")];)++i;return s[t+=i||""]=!0,a(o,e="@@"+t,n.gs(null,(function(t){r||(r=!0,a(this,e,n(t)),r=!1)}))),e}},{d:155}],229:[function(t,e,r){"use strict";var n=t("d"),i=t("ext/global-this").Symbol;e.exports=function(t){return Object.defineProperties(t,{hasInstance:n("",i&&i.hasInstance||t("hasInstance")),isConcatSpreadable:n("",i&&i.isConcatSpreadable||t("isConcatSpreadable")),iterator:n("",i&&i.iterator||t("iterator")),match:n("",i&&i.match||t("match")),replace:n("",i&&i.replace||t("replace")),search:n("",i&&i.search||t("search")),species:n("",i&&i.species||t("species")),split:n("",i&&i.split||t("split")),toPrimitive:n("",i&&i.toPrimitive||t("toPrimitive")),toStringTag:n("",i&&i.toStringTag||t("toStringTag")),unscopables:n("",i&&i.unscopables||t("unscopables"))})}},{d:155,"ext/global-this":238}],230:[function(t,e,r){"use strict";var n=t("d"),i=t("../../../validate-symbol"),a=Object.create(null);e.exports=function(t){return Object.defineProperties(t,{for:n((function(e){return a[e]?a[e]:a[e]=t(String(e))})),keyFor:n((function(t){var e;for(e in i(t),a)if(a[e]===t)return e}))})}},{"../../../validate-symbol":232,d:155}],231:[function(t,e,r){"use strict";var n,i,a,o=t("d"),s=t("./validate-symbol"),l=t("ext/global-this").Symbol,c=t("./lib/private/generate-name"),u=t("./lib/private/setup/standard-symbols"),h=t("./lib/private/setup/symbol-registry"),f=Object.create,p=Object.defineProperties,d=Object.defineProperty;if("function"==typeof l)try{String(l()),a=!0}catch(t){}else l=null;i=function(t){if(this instanceof i)throw new TypeError("Symbol is not a constructor");return n(t)},e.exports=n=function t(e){var r;if(this instanceof t)throw new TypeError("Symbol is not a constructor");return a?l(e):(r=f(i.prototype),e=void 0===e?"":String(e),p(r,{__description__:o("",e),__name__:o("",c(e))}))},u(n),h(n),p(i.prototype,{constructor:o(n),toString:o("",(function(){return this.__name__}))}),p(n.prototype,{toString:o((function(){return"Symbol ("+s(this).__description__+")"})),valueOf:o((function(){return s(this)}))}),d(n.prototype,n.toPrimitive,o("",(function(){var t=s(this);return"symbol"==typeof t?t:t.toString()}))),d(n.prototype,n.toStringTag,o("c","Symbol")),d(i.prototype,n.toStringTag,o("c",n.prototype[n.toStringTag])),d(i.prototype,n.toPrimitive,o("c",n.prototype[n.toPrimitive]))},{"./lib/private/generate-name":228,"./lib/private/setup/standard-symbols":229,"./lib/private/setup/symbol-registry":230,"./validate-symbol":232,d:155,"ext/global-this":238}],232:[function(t,e,r){"use strict";var n=t("./is-symbol");e.exports=function(t){if(!n(t))throw new TypeError(t+" is not a symbol");return t}},{"./is-symbol":227}],233:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?WeakMap:t("./polyfill")},{"./is-implemented":234,"./polyfill":236}],234:[function(t,e,r){"use strict";e.exports=function(){var t,e;if("function"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},"one"],[{},"two"],[{},"three"]])}catch(t){return!1}return"[object WeakMap]"===String(t)&&("function"==typeof t.set&&(t.set({},1)===t&&("function"==typeof t.delete&&("function"==typeof t.has&&"one"===t.get(e)))))}},{}],235:[function(t,e,r){"use strict";e.exports="function"==typeof WeakMap&&"[object WeakMap]"===Object.prototype.toString.call(new WeakMap)},{}],236:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/is-value"),a=t("es5-ext/object/set-prototype-of"),o=t("es5-ext/object/valid-object"),s=t("es5-ext/object/valid-value"),l=t("es5-ext/string/random-uniq"),c=t("d"),u=t("es6-iterator/get"),h=t("es6-iterator/for-of"),f=t("es6-symbol").toStringTag,p=t("./is-native-implemented"),d=Array.isArray,g=Object.defineProperty,m=Object.prototype.hasOwnProperty,v=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");return t=p&&a&&WeakMap!==n?a(new WeakMap,v(this)):this,i(e)&&(d(e)||(e=u(e))),g(t,"__weakMapData__",c("c","$weakMap$"+l())),e?(h(e,(function(e){s(e),t.set(e[0],e[1])})),t):t},p&&(a&&a(n,WeakMap),n.prototype=Object.create(WeakMap.prototype,{constructor:c(n)})),Object.defineProperties(n.prototype,{delete:c((function(t){return!!m.call(o(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)})),get:c((function(t){if(m.call(o(t),this.__weakMapData__))return t[this.__weakMapData__]})),has:c((function(t){return m.call(o(t),this.__weakMapData__)})),set:c((function(t,e){return g(o(t),this.__weakMapData__,c("c",e)),this})),toString:c((function(){return"[object WeakMap]"}))}),g(n.prototype,f,c("c","WeakMap"))},{"./is-native-implemented":235,d:155,"es5-ext/object/is-value":200,"es5-ext/object/set-prototype-of":206,"es5-ext/object/valid-object":210,"es5-ext/object/valid-value":211,"es5-ext/string/random-uniq":216,"es6-iterator/for-of":218,"es6-iterator/get":219,"es6-symbol":225}],237:[function(t,e,r){var n=function(){if("object"==typeof self&&self)return self;if("object"==typeof window&&window)return window;throw new Error("Unable to resolve global `this`")};e.exports=function(){if(this)return this;try{Object.defineProperty(Object.prototype,"__global__",{get:function(){return this},configurable:!0})}catch(t){return n()}try{return __global__||n()}finally{delete Object.prototype.__global__}}()},{}],238:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?globalThis:t("./implementation")},{"./implementation":237,"./is-implemented":239}],239:[function(t,e,r){"use strict";e.exports=function(){return"object"==typeof globalThis&&(!!globalThis&&globalThis.Array===Array)}},{}],240:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=e||0,i=r||1;return[[t[12]+t[0],t[13]+t[1],t[14]+t[2],t[15]+t[3]],[t[12]-t[0],t[13]-t[1],t[14]-t[2],t[15]-t[3]],[t[12]+t[4],t[13]+t[5],t[14]+t[6],t[15]+t[7]],[t[12]-t[4],t[13]-t[5],t[14]-t[6],t[15]-t[7]],[n*t[12]+t[8],n*t[13]+t[9],n*t[14]+t[10],n*t[15]+t[11]],[i*t[12]-t[8],i*t[13]-t[9],i*t[14]-t[10],i*t[15]-t[11]]]}},{}],241:[function(t,e,r){"use strict";var n=t("is-string-blank");e.exports=function(t){var e=typeof t;if("string"===e){var r=t;if(0===(t=+t)&&n(r))return!1}else if("number"!==e)return!1;return t-t<1}},{"is-string-blank":444}],242:[function(t,e,r){"use strict";e.exports=function(t,e,r){switch(arguments.length){case 0:return new o([0],[0],0);case 1:return"number"==typeof t?new o(n=l(t),n,0):new o(t,l(t.length),0);case 2:if("number"==typeof e){var n=l(t.length);return new o(t,n,+e)}r=0;case 3:if(t.length!==e.length)throw new Error("state and velocity lengths must match");return new o(t,e,r)}};var n=t("cubic-hermite"),i=t("binary-search-bounds");function a(t,e,r){return Math.min(e,Math.max(t,r))}function o(t,e,r){this.dimension=t.length,this.bounds=[new Array(this.dimension),new Array(this.dimension)];for(var n=0;n<this.dimension;++n)this.bounds[0][n]=-1/0,this.bounds[1][n]=1/0;this._state=t.slice().reverse(),this._velocity=e.slice().reverse(),this._time=[r],this._scratch=[t.slice(),t.slice(),t.slice(),t.slice(),t.slice()]}var s=o.prototype;function l(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=0;return e}s.flush=function(t){var e=i.gt(this._time,t)-1;e<=0||(this._time.splice(0,e),this._state.splice(0,e*this.dimension),this._velocity.splice(0,e*this.dimension))},s.curve=function(t){var e=this._time,r=e.length,o=i.le(e,t),s=this._scratch[0],l=this._state,c=this._velocity,u=this.dimension,h=this.bounds;if(o<0)for(var f=u-1,p=0;p<u;++p,--f)s[p]=l[f];else if(o>=r-1){f=l.length-1;var d=t-e[r-1];for(p=0;p<u;++p,--f)s[p]=l[f]+d*c[f]}else{f=u*(o+1)-1;var g=e[o],m=e[o+1]-g||1,v=this._scratch[1],y=this._scratch[2],x=this._scratch[3],b=this._scratch[4],_=!0;for(p=0;p<u;++p,--f)v[p]=l[f],x[p]=c[f]*m,y[p]=l[f+u],b[p]=c[f+u]*m,_=_&&v[p]===y[p]&&x[p]===b[p]&&0===x[p];if(_)for(p=0;p<u;++p)s[p]=v[p];else n(v,x,y,b,(t-g)/m,s)}var w=h[0],T=h[1];for(p=0;p<u;++p)s[p]=a(w[p],T[p],s[p]);return s},s.dcurve=function(t){var e=this._time,r=e.length,a=i.le(e,t),o=this._scratch[0],s=this._state,l=this._velocity,c=this.dimension;if(a>=r-1)for(var u=s.length-1,h=(e[r-1],0);h<c;++h,--u)o[h]=l[u];else{u=c*(a+1)-1;var f=e[a],p=e[a+1]-f||1,d=this._scratch[1],g=this._scratch[2],m=this._scratch[3],v=this._scratch[4],y=!0;for(h=0;h<c;++h,--u)d[h]=s[u],m[h]=l[u]*p,g[h]=s[u+c],v[h]=l[u+c]*p,y=y&&d[h]===g[h]&&m[h]===v[h]&&0===m[h];if(y)for(h=0;h<c;++h)o[h]=0;else{n.derivative(d,m,g,v,(t-f)/p,o);for(h=0;h<c;++h)o[h]/=p}}return o},s.lastT=function(){var t=this._time;return t[t.length-1]},s.stable=function(){for(var t=this._velocity,e=t.length,r=this.dimension-1;r>=0;--r)if(t[--e])return!1;return!0},s.jump=function(t){var e=this.lastT(),r=this.dimension;if(!(t<e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1];this._time.push(e,t);for(var u=0;u<2;++u)for(var h=0;h<r;++h)n.push(n[o++]),i.push(0);this._time.push(t);for(h=r;h>0;--h)n.push(a(l[h-1],c[h-1],arguments[h])),i.push(0)}},s.push=function(t){var e=this.lastT(),r=this.dimension;if(!(t<e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=t-e,l=this.bounds,c=l[0],u=l[1],h=s>1e-6?1/s:0;this._time.push(t);for(var f=r;f>0;--f){var p=a(c[f-1],u[f-1],arguments[f]);n.push(p),i.push((p-n[o++])*h)}}},s.set=function(t){var e=this.dimension;if(!(t<this.lastT()||arguments.length!==e+1)){var r=this._state,n=this._velocity,i=this.bounds,o=i[0],s=i[1];this._time.push(t);for(var l=e;l>0;--l)r.push(a(o[l-1],s[l-1],arguments[l])),n.push(0)}},s.move=function(t){var e=this.lastT(),r=this.dimension;if(!(t<=e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],c=s[1],u=t-e,h=u>1e-6?1/u:0;this._time.push(t);for(var f=r;f>0;--f){var p=arguments[f];n.push(a(l[f-1],c[f-1],n[o++]+p)),i.push(p*h)}}},s.idle=function(t){var e=this.lastT();if(!(t<e)){var r=this.dimension,n=this._state,i=this._velocity,o=n.length-r,s=this.bounds,l=s[0],c=s[1],u=t-e;this._time.push(t);for(var h=r-1;h>=0;--h)n.push(a(l[h],c[h],n[o]+u*i[o])),i.push(0),o+=1}}},{"binary-search-bounds":243,"cubic-hermite":150}],243:[function(t,e,r){"use strict";function n(t,e,r,n,i,a){var o=["function ",t,"(a,l,h,",n.join(","),"){",a?"":"var i=",r?"l-1":"h+1",";while(l<=h){var m=(l+h)>>>1,x=a",i?".get(m)":"[m]"];return a?e.indexOf("c")<0?o.push(";if(x===y){return m}else if(x<=y){"):o.push(";var p=c(x,y);if(p===0){return m}else if(p<=0){"):o.push(";if(",e,"){i=m;"),r?o.push("l=m+1}else{h=m-1}"):o.push("h=m-1}else{l=m+1}"),o.push("}"),a?o.push("return -1};"):o.push("return i};"),o.join("")}function i(t,e,r,i){return new Function([n("A","x"+t+"y",e,["y"],!1,i),n("B","x"+t+"y",e,["y"],!0,i),n("P","c(x,y)"+t+"0",e,["y","c"],!1,i),n("Q","c(x,y)"+t+"0",e,["y","c"],!0,i),"function dispatchBsearch",r,"(a,y,c,l,h){if(a.shape){if(typeof(c)==='function'){return Q(a,(l===undefined)?0:l|0,(h===undefined)?a.shape[0]-1:h|0,y,c)}else{return B(a,(c===undefined)?0:c|0,(l===undefined)?a.shape[0]-1:l|0,y)}}else{if(typeof(c)==='function'){return P(a,(l===undefined)?0:l|0,(h===undefined)?a.length-1:h|0,y,c)}else{return A(a,(c===undefined)?0:c|0,(l===undefined)?a.length-1:l|0,y)}}}return dispatchBsearch",r].join(""))()}e.exports={ge:i(">=",!1,"GE"),gt:i(">",!1,"GT"),lt:i("<",!0,"LT"),le:i("<=",!0,"LE"),eq:i("-",!0,"EQ",!0)}},{}],244:[function(t,e,r){var n=t("dtype");e.exports=function(t,e,r){if(!t)throw new TypeError("must specify data as first parameter");if(r=0|+(r||0),Array.isArray(t)&&t[0]&&"number"==typeof t[0][0]){var i,a,o,s,l=t[0].length,c=t.length*l;e&&"string"!=typeof e||(e=new(n(e||"float32"))(c+r));var u=e.length-r;if(c!==u)throw new Error("source length "+c+" ("+l+"x"+t.length+") does not match destination length "+u);for(i=0,o=r;i<t.length;i++)for(a=0;a<l;a++)e[o++]=null===t[i][a]?NaN:t[i][a]}else if(e&&"string"!=typeof e)e.set(t,r);else{var h=n(e||"float32");if(Array.isArray(t)||"array"===e)for(e=new h(t.length+r),i=0,o=r,s=e.length;o<s;o++,i++)e[o]=null===t[i]?NaN:t[i];else 0===r?e=new h(t):(e=new h(t.length+r)).set(t,r)}return e}},{dtype:175}],245:[function(t,e,r){"use strict";var n=t("css-font/stringify"),i=[32,126];e.exports=function(t){var e=(t=t||{}).shape?t.shape:t.canvas?[t.canvas.width,t.canvas.height]:[512,512],r=t.canvas||document.createElement("canvas"),a=t.font,o="number"==typeof t.step?[t.step,t.step]:t.step||[32,32],s=t.chars||i;a&&"string"!=typeof a&&(a=n(a));if(Array.isArray(s)){if(2===s.length&&"number"==typeof s[0]&&"number"==typeof s[1]){for(var l=[],c=s[0],u=0;c<=s[1];c++)l[u++]=String.fromCharCode(c);s=l}}else s=String(s).split("");e=e.slice(),r.width=e[0],r.height=e[1];var h=r.getContext("2d");h.fillStyle="#000",h.fillRect(0,0,r.width,r.height),h.font=a,h.textAlign="center",h.textBaseline="middle",h.fillStyle="#fff";var f=o[0]/2,p=o[1]/2;for(c=0;c<s.length;c++)h.fillText(s[c],f,p),(f+=o[0])>e[0]-o[0]/2&&(f=o[0]/2,p+=o[1]);return r}},{"css-font/stringify":147}],246:[function(t,e,r){"use strict";function n(t,e){e||(e={}),("string"==typeof t||Array.isArray(t))&&(e.family=t);var r=Array.isArray(e.family)?e.family.join(", "):e.family;if(!r)throw Error("`family` must be defined");var s=e.size||e.fontSize||e.em||48,l=e.weight||e.fontWeight||"",c=(t=[e.style||e.fontStyle||"",l,s].join(" ")+"px "+r,e.origin||"top");if(n.cache[r]&&s<=n.cache[r].em)return i(n.cache[r],c);var u=e.canvas||n.canvas,h=u.getContext("2d"),f={upper:void 0!==e.upper?e.upper:"H",lower:void 0!==e.lower?e.lower:"x",descent:void 0!==e.descent?e.descent:"p",ascent:void 0!==e.ascent?e.ascent:"h",tittle:void 0!==e.tittle?e.tittle:"i",overshoot:void 0!==e.overshoot?e.overshoot:"O"},p=Math.ceil(1.5*s);u.height=p,u.width=.5*p,h.font=t;var d={top:0};h.clearRect(0,0,p,p),h.textBaseline="top",h.fillStyle="black",h.fillText("H",0,0);var g=a(h.getImageData(0,0,p,p));h.clearRect(0,0,p,p),h.textBaseline="bottom",h.fillText("H",0,p);var m=a(h.getImageData(0,0,p,p));d.lineHeight=d.bottom=p-m+g,h.clearRect(0,0,p,p),h.textBaseline="alphabetic",h.fillText("H",0,p);var v=p-a(h.getImageData(0,0,p,p))-1+g;d.baseline=d.alphabetic=v,h.clearRect(0,0,p,p),h.textBaseline="middle",h.fillText("H",0,.5*p);var y=a(h.getImageData(0,0,p,p));d.median=d.middle=p-y-1+g-.5*p,h.clearRect(0,0,p,p),h.textBaseline="hanging",h.fillText("H",0,.5*p);var x=a(h.getImageData(0,0,p,p));d.hanging=p-x-1+g-.5*p,h.clearRect(0,0,p,p),h.textBaseline="ideographic",h.fillText("H",0,p);var b=a(h.getImageData(0,0,p,p));if(d.ideographic=p-b-1+g,f.upper&&(h.clearRect(0,0,p,p),h.textBaseline="top",h.fillText(f.upper,0,0),d.upper=a(h.getImageData(0,0,p,p)),d.capHeight=d.baseline-d.upper),f.lower&&(h.clearRect(0,0,p,p),h.textBaseline="top",h.fillText(f.lower,0,0),d.lower=a(h.getImageData(0,0,p,p)),d.xHeight=d.baseline-d.lower),f.tittle&&(h.clearRect(0,0,p,p),h.textBaseline="top",h.fillText(f.tittle,0,0),d.tittle=a(h.getImageData(0,0,p,p))),f.ascent&&(h.clearRect(0,0,p,p),h.textBaseline="top",h.fillText(f.ascent,0,0),d.ascent=a(h.getImageData(0,0,p,p))),f.descent&&(h.clearRect(0,0,p,p),h.textBaseline="top",h.fillText(f.descent,0,0),d.descent=o(h.getImageData(0,0,p,p))),f.overshoot){h.clearRect(0,0,p,p),h.textBaseline="top",h.fillText(f.overshoot,0,0);var _=o(h.getImageData(0,0,p,p));d.overshoot=_-v}for(var w in d)d[w]/=s;return d.em=s,n.cache[r]=d,i(d,c)}function i(t,e){var r={};for(var n in"string"==typeof e&&(e=t[e]),t)"em"!==n&&(r[n]=t[n]-e);return r}function a(t){for(var e=t.height,r=t.data,n=3;n<r.length;n+=4)if(0!==r[n])return Math.floor(.25*(n-3)/e)}function o(t){for(var e=t.height,r=t.data,n=r.length-1;n>0;n-=4)if(0!==r[n])return Math.floor(.25*(n-3)/e)}e.exports=n,n.canvas=document.createElement("canvas"),n.cache={}},{}],247:[function(t,e,r){"use strict";e.exports=function(t){return new s(t||g,null)};function n(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function i(t){return new n(t._color,t.key,t.value,t.left,t.right,t._count)}function a(t,e){return new n(t,e.key,e.value,e.left,e.right,e._count)}function o(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function s(t,e){this._compare=t,this.root=e}var l=s.prototype;function c(t,e){var r;if(e.left&&(r=c(t,e.left)))return r;return(r=t(e.key,e.value))||(e.right?c(t,e.right):void 0)}function u(t,e,r,n){if(e(t,n.key)<=0){var i;if(n.left)if(i=u(t,e,r,n.left))return i;if(i=r(n.key,n.value))return i}if(n.right)return u(t,e,r,n.right)}function h(t,e,r,n,i){var a,o=r(t,i.key),s=r(e,i.key);if(o<=0){if(i.left&&(a=h(t,e,r,n,i.left)))return a;if(s>0&&(a=n(i.key,i.value)))return a}if(s>0&&i.right)return h(t,e,r,n,i.right)}function f(t,e){this.tree=t,this._stack=e}Object.defineProperty(l,"keys",{get:function(){var t=[];return this.forEach((function(e,r){t.push(e)})),t}}),Object.defineProperty(l,"values",{get:function(){var t=[];return this.forEach((function(e,r){t.push(r)})),t}}),Object.defineProperty(l,"length",{get:function(){return this.root?this.root._count:0}}),l.insert=function(t,e){for(var r=this._compare,i=this.root,l=[],c=[];i;){var u=r(t,i.key);l.push(i),c.push(u),i=u<=0?i.left:i.right}l.push(new n(0,t,e,null,null,1));for(var h=l.length-2;h>=0;--h){i=l[h];c[h]<=0?l[h]=new n(i._color,i.key,i.value,l[h+1],i.right,i._count+1):l[h]=new n(i._color,i.key,i.value,i.left,l[h+1],i._count+1)}for(h=l.length-1;h>1;--h){var f=l[h-1];i=l[h];if(1===f._color||1===i._color)break;var p=l[h-2];if(p.left===f)if(f.left===i){if(!(d=p.right)||0!==d._color){if(p._color=0,p.left=f.right,f._color=1,f.right=p,l[h-2]=f,l[h-1]=i,o(p),o(f),h>=3)(g=l[h-3]).left===p?g.left=f:g.right=f;break}f._color=1,p.right=a(1,d),p._color=0,h-=1}else{if(!(d=p.right)||0!==d._color){if(f.right=i.left,p._color=0,p.left=i.right,i._color=1,i.left=f,i.right=p,l[h-2]=i,l[h-1]=f,o(p),o(f),o(i),h>=3)(g=l[h-3]).left===p?g.left=i:g.right=i;break}f._color=1,p.right=a(1,d),p._color=0,h-=1}else if(f.right===i){if(!(d=p.left)||0!==d._color){if(p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=i,o(p),o(f),h>=3)(g=l[h-3]).right===p?g.right=f:g.left=f;break}f._color=1,p.left=a(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var g;if(f.left=i.right,p._color=0,p.right=i.left,i._color=1,i.right=f,i.left=p,l[h-2]=i,l[h-1]=f,o(p),o(f),o(i),h>=3)(g=l[h-3]).right===p?g.right=i:g.left=i;break}f._color=1,p.left=a(1,d),p._color=0,h-=1}}return l[0]._color=1,new s(r,l[0])},l.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return c(t,this.root);case 2:return u(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return h(e,r,this._compare,t,this.root)}},Object.defineProperty(l,"begin",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new f(this,t)}}),Object.defineProperty(l,"end",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new f(this,t)}}),l.at=function(t){if(t<0)return new f(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new f(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new f(this,[])},l.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new f(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new f(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new f(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new f(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new f(this,n);r=i<=0?r.left:r.right}return new f(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,"valid",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,"node",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new f(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var h=e[e.length-2];h.left===r?h.left=null:h.right===r&&(h.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var f=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),f.left===r?f.left=null:f.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function a(t){if(t<0)return Number("0/0");for(var e=i[0],r=i.length-1;r>0;--r)e+=i[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(a(e));e-=1;for(var r=n[0],i=1;i<9;i++)r+=n[i]/(e+i);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=a},{}],249:[function(t,e,r){e.exports=function(t,e){if("string"!=typeof t)throw new TypeError("must specify type string");if(e=e||{},"undefined"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement("canvas");"number"==typeof e.width&&(r.width=e.width);"number"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf("webgl")&&a.push("experimental-"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),i=t("./lib/lines.js"),a=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if("bounds"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var g=l("labels");l("labelFont")&&(g=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=a[1][M]:C[M]=a[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]="auto"):this.tickAlign[M]=-1,F=1,"auto"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),"auto"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":251,"./lib/cube.js":252,"./lib/lines.js":253,"./lib/text.js":255,"./lib/ticks.js":256}],251:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":254,"gl-buffer":258,"gl-vao":332}],252:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t("bit-twiddle"),i=t("gl-mat4/multiply"),a=t("split-polygon"),o=t("robust-orientation"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{"bit-twiddle":97,"gl-mat4/multiply":280,"robust-orientation":520,"split-polygon":538}],253:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":254,"gl-buffer":258,"gl-vao":332}],254:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":312,glslify:413}],255:[function(t,e,r){(function(r){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),h=i(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t("_process"))},{"./shaders":254,_process:500,"gl-buffer":258,"gl-vao":332,"vectorize-text":572}],256:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var h=""+c;h.length<i;)h="0"+h;return u+"."+h}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],257:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||a(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{"./lib/cube.js":252,"extract-frustum-planes":240,"gl-mat4/multiply":280,"gl-mat4/transpose":289,"gl-vec4/transformMat4":403,"split-polygon":538}],258:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&"undefined"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:469,"ndarray-ops":464,"typedarray-pool":567}],259:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:"cone"})}},{"./create_mesh":260,"./lib/shaders":261,"gl-vec3":351}],260:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:131,"gl-buffer":258,"gl-mat4/invert":278,"gl-mat4/multiply":280,"gl-shader":312,"gl-texture2d":327,"gl-vao":332,ndarray:469}],261:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],263:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":262}],264:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function h(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":265,"gl-buffer":258,"gl-vao":332}],265:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":312,glslify:413}],266:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var h=1;if("color"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(h>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+h+" draw buffers")}}var f=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&h>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;"depth"in n&&(g=!!n.depth);var m=!1;"stencil"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=f(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":327}],267:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),h=t.split("\n"),f={},p=0;p<h.length;p++){var d=h[p];if(""!==d&&"\0"!==d){var g=parseInt(d.split(":")[2]);if(isNaN(g))throw new Error(n("Could not parse error: %s",d));f[g]=d}}var m=o(e).split("\n");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+"\n",f[p+1]){var y=f[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":66,"gl-constants/lookup":263,"glsl-shader-name":405,"sprintf-js":539}],268:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,i,a,u,h,f);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),M=a.mallocUint8(2*w),A=a.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":269,"binary-search-bounds":96,"gl-buffer":258,"gl-shader":312,"iota-array":437,"typedarray-pool":567}],269:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:413}],270:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":312,glslify:413}],271:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<f.length;++e){var v,y,x,b=f[e-1],_=f[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var M=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],h=0;h<3;++h)u[h]=c*n[h]+a*i[h];var f=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,f,this.points[f])}},{"./lib/shaders":270,"binary-search-bounds":96,"gl-buffer":258,"gl-texture2d":327,"gl-vao":332,ndarray:469}],272:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],273:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],274:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],m=t[15];return(e*o-r*a)*(h*m-f*g)-(e*s-n*a)*(u*m-f*d)+(e*l-i*a)*(u*g-h*d)+(r*s-n*o)*(c*m-f*p)-(r*l-i*o)*(c*g-h*p)+(n*l-i*s)*(c*d-u*p)}},{}],275:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,h=n*s,f=i*o,p=i*s,d=i*l,g=a*o,m=a*s,v=a*l;return t[0]=1-h-d,t[1]=u+v,t[2]=f-m,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+m,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,h=n*l,f=n*c,p=i*l,d=i*c,g=a*c,m=o*s,v=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-i*A+a*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-a*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+i*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),a=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=f*s-p*o,c=p*a-h*s,u=h*o-f*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{"./identity":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*i+b*l+_*f+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*i+b*l+_*f+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*i+b*l+_*f+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*i+b*l+_*f+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=C*E*o+L*i,_=L*E*o-C*i,w=E*C*o-L*i,T=C*C*o+a,k=L*C*o+E*i,M=E*L*o+C*i,A=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=i*g+l*m+f*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,a,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,"polytope-closest-point/lib/closest_point_2d.js":499}],291:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:413}],292:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),g=t("./lib/closest-point"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=i[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*M(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{"./lib/closest-point":290,"./lib/shaders":291,colormap:131,"gl-buffer":258,"gl-mat4/invert":278,"gl-mat4/multiply":280,"gl-shader":312,"gl-texture2d":327,"gl-vao":332,ndarray:469,normals:472,"simplicial-complex-contour":528,"typedarray-pool":567}],293:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":296,"gl-buffer":258,"gl-shader":312}],294:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=f[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":296,"binary-search-bounds":96,"gl-buffer":258,"gl-shader":312}],295:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":296,"gl-buffer":258,"gl-shader":312}],296:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:413}],297:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],g=a[o+2]-h,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||"sans-serif";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split("\n"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":296,"binary-search-bounds":96,"gl-buffer":258,"gl-shader":312,"text-cache":547}],298:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":293,"./lib/grid":294,"./lib/line":295,"./lib/text":297,"gl-select-static":311}],299:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,f=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":54,"has-passive-events":415,"mouse-change":457,"mouse-event-offset":458,"mouse-wheel":460,"right-now":514}],300:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":312,glslify:413}],301:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),h=t("gl-mat4/perspective"),f=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement("canvas"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error("webgl not supported");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener("resize",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener("webglcontextlost",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{"./camera.js":299,"./lib/shader":300,"a-big-triangle":64,"gl-axes3d":250,"gl-axes3d/properties":257,"gl-fbo":266,"gl-mat4/ortho":281,"gl-mat4/perspective":282,"gl-select-static":311,"gl-spikes3d":321,"is-mobile":441,"mouse-change":457}],302:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:413}],303:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,a,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":302,"gl-buffer":258,"gl-shader":312,"typedarray-pool":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+h*g+f*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],306:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return a[t]=[s,u,h]};var i={}},{"vectorize-text":572}],307:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{"gl-shader":312,glslify:413}],308:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),g=a(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&C(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/get-simple-string":305,"./lib/glyphs":306,"./lib/shaders":307,"gl-buffer":258,"gl-mat4/multiply":280,"gl-vao":332,"is-string-blank":444,"typedarray-pool":567}],309:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:413}],310:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,i),o.drawBox(0,f,h,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,f,g,d,i)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,a),o.drawBox(h-v,d-v,p+v,d+v,a),o.drawBox(h-v,f-v,h+v,d+v,a),o.drawBox(p-v,f-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":309,"gl-buffer":258,"gl-shader":312}],311:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],h=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),f=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+i|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{"bit-twiddle":97,"gl-fbo":266,ndarray:469,"typedarray-pool":567}],312:[function(t,e,r){"use strict";var n=t("./lib/create-uniforms"),i=t("./lib/create-attributes"),a=t("./lib/reflect"),o=t("./lib/shader-cache"),s=t("./lib/runtime-reflect"),l=t("./lib/GLError");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var f=this,p=f.gl,d=f._vref;f._vref=o.shader(p,p.VERTEX_SHADER,t),d&&d.dispose(),f.vertShader=f._vref.shader;var g=this._fref;if(f._fref=o.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),f.fragShader=f._fref.shader,!r||!c){var m=p.createProgram();if(p.attachShader(m,f.fragShader),p.attachShader(m,f.vertShader),p.linkProgram(m),!p.getProgramParameter(m,p.LINK_STATUS)){var v=p.getProgramInfoLog(m);throw new l(v,"Error linking program:"+v)}r=r||s.uniforms(p,m),c=c||s.attributes(p,m),p.deleteProgram(m)}(c=c.slice()).sort(h);var y,x=[],b=[],_=[];for(y=0;y<c.length;++y){var w=c[y];if(w.type.indexOf("mat")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+"["+M+"]"),"number"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&"number"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),"number"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:a(r),attributes:a(c)},f.attributes=i(p,f,x,_),Object.defineProperty(f,"uniforms",n(p,f,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return a.update(e,r,n,i),a}},{"./lib/GLError":313,"./lib/create-attributes":314,"./lib/create-uniforms":315,"./lib/reflect":316,"./lib/runtime-reflect":317,"./lib/shader-cache":318}],313:[function(t,e,r){function n(t,e,r){this.shortMessage=e||"",this.longMessage=r||"",this.rawError=t||"",this.message="gl-shader: "+(e||t||"")+(r?"\n"+r:""),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name="GLError",n.prototype.constructor=n,e.exports=n},{}],314:[function(t,e,r){"use strict";e.exports=function(t,e,r,i){for(var a={},l=0,c=r.length;l<c;++l){var u=r[l],h=u.name,f=u.type,p=u.locations;switch(f){case"bool":case"int":case"float":o(t,e,p[0],i,1,a,h);break;default:if(f.indexOf("vec")>=0){if((d=f.charCodeAt(f.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+h+": "+f);o(t,e,p[0],i,d,a,h)}else{if(!(f.indexOf("mat")>=0))throw new n("","Unknown data type for attribute "+h+": "+f);var d;if((d=f.charCodeAt(f.length-1)-48)<2||d>4)throw new n("","Invalid data type for attribute "+h+": "+f);s(t,e,p,i,d,a,h)}}}return a};var n=t("./GLError");function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;function o(t,e,r,n,a,o,s){for(var l=["gl","v"],c=[],u=0;u<a;++u)l.push("x"+u),c.push("x"+u);l.push("if(x0.length===void 0){return gl.vertexAttrib"+a+"f(v,"+c.join()+")}else{return gl.vertexAttrib"+a+"fv(v,x0)}");var h=Function.apply(null,l),f=new i(t,e,r,n,a,h);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(n[r]),h(t,n[r],e),e},get:function(){return f},enumerable:!0})}function s(t,e,r,n,i,a,s){for(var l=new Array(i),c=new Array(i),u=0;u<i;++u)o(t,e,r[u],n,i,l,u),c[u]=l[u];Object.defineProperty(l,"location",{set:function(t){if(Array.isArray(t))for(var e=0;e<i;++e)c[e].location=t[e];else for(e=0;e<i;++e)c[e].location=t+e;return t},get:function(){for(var t=new Array(i),e=0;e<i;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,a,o,s){e=e||t.FLOAT,a=!!a,o=o||i*i,s=s||0;for(var l=0;l<i;++l){var c=n[r[l]];t.vertexAttribPointer(c,i,e,a,o,s+l*i),t.enableVertexAttribArray(c)}};var h=new Array(i),f=t["vertexAttrib"+i+"fv"];Object.defineProperty(a,s,{set:function(e){for(var a=0;a<i;++a){var o=n[r[a]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))f.call(t,o,e[a]);else{for(var s=0;s<i;++s)h[s]=e[i*a+s];f.call(t,o,h)}}return e},get:function(){return l},enumerable:!0})}a.pointer=function(t,e,r,n){var i=this._gl,a=this._locations[this._index];i.vertexAttribPointer(a,this._dimension,t||i.FLOAT,!!e,r||0,n||0),i.enableVertexAttribArray(a)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,"location",{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&&(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}})},{"./GLError":313}],315:[function(t,e,r){"use strict";var n=t("./reflect"),i=t("./GLError");function a(t){return new Function("y","return function(){return y}")(t)}function o(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=e;return r}e.exports=function(t,e,r,s){function l(t,e,r){switch(r){case"bool":case"int":case"sampler2D":case"samplerCube":return"gl.uniform1i(locations["+e+"],obj"+t+")";case"float":return"gl.uniform1f(locations["+e+"],obj"+t+")";default:var n=r.indexOf("vec");if(!(0<=n&&n<=1&&r.length===4+n)){if(0===r.indexOf("mat")&&4===r.length){var a;if((a=r.charCodeAt(r.length-1)-48)<2||a>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+r);return"gl.uniformMatrix"+a+"fv(locations["+e+"],false,obj"+t+")"}throw new i("","Unknown uniform data type for "+name+": "+r)}if((a=r.charCodeAt(r.length-1)-48)<2||a>4)throw new i("","Invalid data type");switch(r.charAt(0)){case"b":case"i":return"gl.uniform"+a+"iv(locations["+e+"],obj"+t+")";case"v":return"gl.uniform"+a+"fv(locations["+e+"],obj"+t+")";default:throw new i("","Unrecognized data type for vector "+name+": "+r)}}}function c(e){for(var n=["return function updateProperty(obj){"],i=function t(e,r){if("object"!=typeof r)return[[e,r]];var n=[];for(var i in r){var a=r[i],o=e;parseInt(i)+""===i?o+="["+i+"]":o+="."+i,"object"==typeof a?n.push.apply(n,t(o,a)):n.push([o,a])}return n}("",e),a=0;a<i.length;++a){var o=i[a],c=o[0],u=o[1];s[u]&&n.push(l(c,u,r[u].type))}return n.push("return obj}"),new Function("gl","locations",n.join("\n"))(t,s)}function u(n,l,u){if("object"==typeof u){var f=h(u);Object.defineProperty(n,l,{get:a(f),set:c(u),enumerable:!0,configurable:!1})}else s[u]?Object.defineProperty(n,l,{get:(p=u,new Function("gl","wrapper","locations","return function(){return gl.getUniform(wrapper.program,locations["+p+"])}")(t,e,s)),set:c(u),enumerable:!0,configurable:!1}):n[l]=function(t){switch(t){case"bool":return!1;case"int":case"sampler2D":case"samplerCube":case"float":return 0;default:var e=t.indexOf("vec");if(0<=e&&e<=1&&t.length===4+e){if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid data type");return"b"===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf("mat")&&4===t.length){var r;if((r=t.charCodeAt(t.length-1)-48)<2||r>4)throw new i("","Invalid uniform dimension type for matrix "+name+": "+t);return o(r*r,0)}throw new i("","Unknown uniform data type for "+name+": "+t)}}(r[u].type);var p}function h(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r<t.length;++r)u(e,r,t[r])}else for(var n in e={},t)u(e,n,t[n]);return e}var f=n(r,!0);return{get:a(h(f)),set:c(f),enumerable:!0,configurable:!0}}},{"./GLError":313,"./reflect":316}],316:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r={},n=0;n<t.length;++n)for(var i=t[n].name.split("."),a=r,o=0;o<i.length;++o){var s=i[o].split("[");if(s.length>1){s[0]in a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l<s.length;++l){var c=parseInt(s[l]);l<s.length-1||o<i.length-1?(c in a||(l<s.length-1?a[c]=[]:a[c]={}),a=a[c]):a[c]=e?n:t[n].type}}else o<i.length-1?(s[0]in a||(a[s[0]]={}),a=a[s[0]]):a[s[0]]=e?n:t[n].type}return r}},{}],317:[function(t,e,r){"use strict";r.uniforms=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),n=[],i=0;i<r;++i){var o=t.getActiveUniform(e,i);if(o){var s=a(t,o.type);if(o.size>1)for(var l=0;l<o.size;++l)n.push({name:o.name.replace("[0]","["+l+"]"),type:s});else n.push({name:o.name,type:s})}}return n},r.attributes=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),n=[],i=0;i<r;++i){var o=t.getActiveAttrib(e,i);o&&n.push({name:o.name,type:a(t,o.type)})}return n};var n={FLOAT:"float",FLOAT_VEC2:"vec2",FLOAT_VEC3:"vec3",FLOAT_VEC4:"vec4",INT:"int",INT_VEC2:"ivec2",INT_VEC3:"ivec3",INT_VEC4:"ivec4",BOOL:"bool",BOOL_VEC2:"bvec2",BOOL_VEC3:"bvec3",BOOL_VEC4:"bvec4",FLOAT_MAT2:"mat2",FLOAT_MAT3:"mat3",FLOAT_MAT4:"mat4",SAMPLER_2D:"sampler2D",SAMPLER_CUBE:"samplerCube"},i=null;function a(t,e){if(!i){var r=Object.keys(n);i={};for(var a=0;a<r.length;++a){var o=r[a];i[t[o]]=n[o]}}return i[e]}},{}],318:[function(t,e,r){"use strict";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,i){return u(t).getProgram(e,r,n,i)};var n=t("./GLError"),i=t("gl-format-compiler-error"),a=new("undefined"==typeof WeakMap?t("weakmap-shim"):WeakMap),o=0;function s(t,e,r,n,i,a,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=a,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n<i;++n){var a=t.programs[r[n]];a&&(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=a.get(t);return e||(e=new l(t),a.set(t,e)),e}c.getShaderReference=function(t,e){var r=this.gl,a=this.shaders[t===r.FRAGMENT_SHADER|0],l=a[e];if(l&&r.isShader(l.shader))l.count+=1;else{var c=function(t,e,r){var a=t.createShader(e);if(t.shaderSource(a,r),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(a);try{var s=i(o,r,e)}catch(t){throw console.warn("Failed to format compiler error: "+t),new n(o,"Error compiling shader:\n"+o)}throw new n(o,s.short,s.long)}return a}(r,t,e);l=a[e]=new s(o++,e,t,c,[],1,this)}return l},c.getProgram=function(t,e,r,i){var a=[t.id,e.id,r.join(":"),i.join(":")].join("@"),o=this.programs[a];return o&&this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,"Error linking program: "+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{"./GLError":313,"gl-format-compiler-error":267,"weakmap-shim":577}],319:[function(t,e,r){"use strict";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}e.exports=function(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r};var i=n.prototype;i.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},i.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],320:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":312,glslify:413}],321:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)i&&i[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":320,"gl-buffer":258,"gl-vao":332}],322:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:413}],323:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||"+x+y+z",p={};-1!==f.indexOf("-x")&&(p.reversedX=!0),-1!==f.indexOf("-y")&&(p.reversedY=!0),-1!==f.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(f.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=a[0][d],S=a[0][v],E=a[1][g],C=a[1][y],L=a[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t("./lib/shaders"),h=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":322,"gl-cone3d":259,"gl-vec3":351,"gl-vec4":387}],324:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":312,glslify:413}],325:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||"jet",m.update(v),m};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),h=t("ndarray"),f=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),g=t("binary-search-bounds"),m=t("ndarray-gradient"),v=t("./lib/shaders"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,i,a,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),i=0;i<3;++i)for(h.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=h(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],"mirror");var b=h(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,C=A*w-S*_,L=_*M-w*k,P=Math.sqrt(E*E+C*C+L*L);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,C*P),b.set(o,v,2,L*P)}s.free(x.data);var I=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),C=b.get(Y+1,W+1,1),L=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=C,N[j++]=L,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),O=Math.min(O,J),z[0]=Math.max(z[0],Z+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":324,"binary-search-bounds":96,"bit-twiddle":97,colormap:131,"gl-buffer":258,"gl-mat4/invert":278,"gl-mat4/multiply":280,"gl-texture2d":327,"gl-vao":332,ndarray:469,"ndarray-gradient":462,"ndarray-ops":464,"ndarray-pack":465,"surface-nets":542,"typedarray-pool":567}],326:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),h=t("parse-rect"),f=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),g=t("detect-kerning"),m=t("object-assign"),v=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\t"+(T.normalViewport?"":"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);")+"\n\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ positionOffset))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\t"+(T.normalViewport?"position.y = 1. - position.y;":"")+"\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform sampler2D atlas;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+"px sans-serif");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:"top",fontSize:T.baseFontSize,fontStyle:u.join(" ")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:"float",data:k}):this.position=this.regl.buffer({type:"float",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var H;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),"uint8"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,"uint8"),4*X)}this.color=H}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text="",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement("canvas"),T.atlasContext=T.atlasCanvas.getContext("2d",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{"bit-twiddle":97,"color-normalize":125,"css-font":144,"detect-kerning":172,"es6-weak-map":233,"flatten-vertex-data":244,"font-atlas":245,"font-measure":246,"gl-util/context":328,"is-plain-obj":443,"object-assign":473,"parse-rect":478,"parse-unit":480,"pick-by-alias":485,regl:512,"to-px":550,"typedarray-pool":567}],327:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||c(t);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error("gl-texture2d: Invalid texture size");var l=g(o,e.stride.slice()),c=0;"float32"===r?c=t.FLOAT:"float64"===r?(c=t.FLOAT,l=!1,r="float32"):"uint8"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r="uint8");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");d=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=a.malloc(v,r);var x=n(f,o,y,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var d=0,m=0,v=g(p,u.stride.slice());"float32"===f?d=t.FLOAT:"float64"===f?(d=t.FLOAT,v=!1,f="float32"):"uint8"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f="uint8");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):i.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,"ndarray-ops":464,"typedarray-pool":567}],328:[function(t,e,r){(function(r){"use strict";var n=t("pick-by-alias");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return"function"==typeof t.getContext&&"width"in t&&"height"in t}function o(){var t=document.createElement("canvas");return t.style.position="absolute",t.style.top=0,t.style.left=0,t}e.exports=function(t){var e;if(t?"string"==typeof t&&(t={container:t}):t={},a(t)?t={container:t}:t="string"==typeof(e=t).nodeName&&"function"==typeof e.appendChild&&"function"==typeof e.getBoundingClientRect?{container:t}:function(t){return"function"==typeof t.drawArrays||"function"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:"container target element el canvas holder parent parentNode wrapper use ref root node",gl:"gl context webgl glContext",attrs:"attributes attrs contextAttributes",pixelRatio:"pixelRatio pxRatio px ratio pxratio pixelratio",width:"w width",height:"h height"},!0),t.pixelRatio||(t.pixelRatio=r.pixelRatio||1),t.gl)return t.gl;if(t.canvas&&(t.container=t.canvas.parentNode),t.container){if("string"==typeof t.container){var s=document.querySelector(t.container);if(!s)throw Error("Element "+t.container+" is not found");t.container=s}a(t.container)?(t.canvas=t.container,t.container=t.canvas.parentNode):t.canvas||(t.canvas=o(),t.container.appendChild(t.canvas),i(t))}else if(!t.canvas){if("undefined"==typeof document)throw Error("Not DOM environment. Use headless-gl.");t.container=document.body||document.documentElement,t.canvas=o(),t.container.appendChild(t.canvas),i(t)}if(!t.gl)try{t.gl=t.canvas.getContext("webgl",t.attrs)}catch(e){try{t.gl=t.canvas.getContext("experimental-webgl",t.attrs)}catch(e){t.gl=t.canvas.getContext("webgl-experimental",t.attrs)}}return t.gl}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"pick-by-alias":485}],329:[function(t,e,r){"use strict";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error("gl-vao: Too many vertex attributes");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,c=!!a.normalized,u=a.stride||0,h=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,c,u,h)}else{if("number"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error("gl-vao: Invalid vertex attribute");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else{t.bindBuffer(t.ARRAY_BUFFER,null);for(i=0;i<n;++i)t.disableVertexAttribArray(i)}}},{}],330:[function(t,e,r){"use strict";var n=t("./do-bind.js");function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return new i(t)}},{"./do-bind.js":329}],331:[function(t,e,r){"use strict";var n=t("./do-bind.js");function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function a(t,e,r){this.gl=t,this._ext=e,this.handle=r,this._attribs=[],this._useElements=!1,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(t){switch(this.dimension){case 1:t.vertexAttrib1f(this.location,this.a);break;case 2:t.vertexAttrib2f(this.location,this.a,this.b);break;case 3:t.vertexAttrib3f(this.location,this.a,this.b,this.c);break;case 4:t.vertexAttrib4f(this.location,this.a,this.b,this.c,this.d)}},a.prototype.bind=function(){this._ext.bindVertexArrayOES(this.handle);for(var t=0;t<this._attribs.length;++t)this._attribs[t].bind(this.gl)},a.prototype.unbind=function(){this._ext.bindVertexArrayOES(null)},a.prototype.dispose=function(){this._ext.deleteVertexArrayOES(this.handle)},a.prototype.update=function(t,e,r){if(this.bind(),n(this.gl,e,t),this.unbind(),this._attribs.length=0,t)for(var a=0;a<t.length;++a){var o=t[a];"number"==typeof o?this._attribs.push(new i(a,1,o)):Array.isArray(o)&&this._attribs.push(new i(a,o.length,o[0],o[1],o[2],o[3]))}this._useElements=!!e,this._elementsType=r||this.gl.UNSIGNED_SHORT},a.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._useElements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t,e){return new a(t,e,e.createVertexArrayOES())}},{"./do-bind.js":329}],332:[function(t,e,r){"use strict";var n=t("./lib/vao-native.js"),i=t("./lib/vao-emulated.js");function a(t){this.bindVertexArrayOES=t.bindVertexArray.bind(t),this.createVertexArrayOES=t.createVertexArray.bind(t),this.deleteVertexArrayOES=t.deleteVertexArray.bind(t)}e.exports=function(t,e,r,o){var s,l=t.createVertexArray?new a(t):t.getExtension("OES_vertex_array_object");return(s=l?n(t,l):i(t)).update(e,r,o),s}},{"./lib/vao-emulated.js":330,"./lib/vao-native.js":331}],333:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}},{}],334:[function(t,e,r){e.exports=function(t,e){var r=n(t[0],t[1],t[2]),o=n(e[0],e[1],e[2]);i(r,r),i(o,o);var s=a(r,o);return s>1?0:Math.acos(s)};var n=t("./fromValues"),i=t("./normalize"),a=t("./dot")},{"./dot":344,"./fromValues":350,"./normalize":361}],335:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.ceil(e[0]),t[1]=Math.ceil(e[1]),t[2]=Math.ceil(e[2]),t}},{}],336:[function(t,e,r){e.exports=function(t){var e=new Float32Array(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e}},{}],337:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}},{}],338:[function(t,e,r){e.exports=function(){var t=new Float32Array(3);return t[0]=0,t[1]=0,t[2]=0,t}},{}],339:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}},{}],340:[function(t,e,r){e.exports=t("./distance")},{"./distance":341}],341:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return Math.sqrt(r*r+n*n+i*i)}},{}],342:[function(t,e,r){e.exports=t("./divide")},{"./divide":343}],343:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]/r[0],t[1]=e[1]/r[1],t[2]=e[2]/r[2],t}},{}],344:[function(t,e,r){e.exports=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]}},{}],345:[function(t,e,r){e.exports=1e-6},{}],346:[function(t,e,r){e.exports=function(t,e){var r=t[0],i=t[1],a=t[2],o=e[0],s=e[1],l=e[2];return Math.abs(r-o)<=n*Math.max(1,Math.abs(r),Math.abs(o))&&Math.abs(i-s)<=n*Math.max(1,Math.abs(i),Math.abs(s))&&Math.abs(a-l)<=n*Math.max(1,Math.abs(a),Math.abs(l))};var n=t("./epsilon")},{"./epsilon":345}],347:[function(t,e,r){e.exports=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]}},{}],348:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.floor(e[0]),t[1]=Math.floor(e[1]),t[2]=Math.floor(e[2]),t}},{}],349:[function(t,e,r){e.exports=function(t,e,r,i,a,o){var s,l;e||(e=3);r||(r=0);l=i?Math.min(i*e+r,t.length):t.length;for(s=r;s<l;s+=e)n[0]=t[s],n[1]=t[s+1],n[2]=t[s+2],a(n,n,o),t[s]=n[0],t[s+1]=n[1],t[s+2]=n[2];return t};var n=t("./create")()},{"./create":338}],350:[function(t,e,r){e.exports=function(t,e,r){var n=new Float32Array(3);return n[0]=t,n[1]=e,n[2]=r,n}},{}],351:[function(t,e,r){e.exports={EPSILON:t("./epsilon"),create:t("./create"),clone:t("./clone"),angle:t("./angle"),fromValues:t("./fromValues"),copy:t("./copy"),set:t("./set"),equals:t("./equals"),exactEquals:t("./exactEquals"),add:t("./add"),subtract:t("./subtract"),sub:t("./sub"),multiply:t("./multiply"),mul:t("./mul"),divide:t("./divide"),div:t("./div"),min:t("./min"),max:t("./max"),floor:t("./floor"),ceil:t("./ceil"),round:t("./round"),scale:t("./scale"),scaleAndAdd:t("./scaleAndAdd"),distance:t("./distance"),dist:t("./dist"),squaredDistance:t("./squaredDistance"),sqrDist:t("./sqrDist"),length:t("./length"),len:t("./len"),squaredLength:t("./squaredLength"),sqrLen:t("./sqrLen"),negate:t("./negate"),inverse:t("./inverse"),normalize:t("./normalize"),dot:t("./dot"),cross:t("./cross"),lerp:t("./lerp"),random:t("./random"),transformMat4:t("./transformMat4"),transformMat3:t("./transformMat3"),transformQuat:t("./transformQuat"),rotateX:t("./rotateX"),rotateY:t("./rotateY"),rotateZ:t("./rotateZ"),forEach:t("./forEach")}},{"./add":333,"./angle":334,"./ceil":335,"./clone":336,"./copy":337,"./create":338,"./cross":339,"./dist":340,"./distance":341,"./div":342,"./divide":343,"./dot":344,"./epsilon":345,"./equals":346,"./exactEquals":347,"./floor":348,"./forEach":349,"./fromValues":350,"./inverse":352,"./len":353,"./length":354,"./lerp":355,"./max":356,"./min":357,"./mul":358,"./multiply":359,"./negate":360,"./normalize":361,"./random":362,"./rotateX":363,"./rotateY":364,"./rotateZ":365,"./round":366,"./scale":367,"./scaleAndAdd":368,"./set":369,"./sqrDist":370,"./sqrLen":371,"./squaredDistance":372,"./squaredLength":373,"./sub":374,"./subtract":375,"./transformMat3":376,"./transformMat4":377,"./transformQuat":378}],352:[function(t,e,r){e.exports=function(t,e){return t[0]=1/e[0],t[1]=1/e[1],t[2]=1/e[2],t}},{}],353:[function(t,e,r){e.exports=t("./length")},{"./length":354}],354:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2];return Math.sqrt(e*e+r*r+n*n)}},{}],355:[function(t,e,r){e.exports=function(t,e,r,n){var i=e[0],a=e[1],o=e[2];return t[0]=i+n*(r[0]-i),t[1]=a+n*(r[1]-a),t[2]=o+n*(r[2]-o),t}},{}],356:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.max(e[0],r[0]),t[1]=Math.max(e[1],r[1]),t[2]=Math.max(e[2],r[2]),t}},{}],357:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.min(e[0],r[0]),t[1]=Math.min(e[1],r[1]),t[2]=Math.min(e[2],r[2]),t}},{}],358:[function(t,e,r){e.exports=t("./multiply")},{"./multiply":359}],359:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t}},{}],360:[function(t,e,r){e.exports=function(t,e){return t[0]=-e[0],t[1]=-e[1],t[2]=-e[2],t}},{}],361:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;a>0&&(a=1/Math.sqrt(a),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a);return t}},{}],362:[function(t,e,r){e.exports=function(t,e){e=e||1;var r=2*Math.random()*Math.PI,n=2*Math.random()-1,i=Math.sqrt(1-n*n)*e;return t[0]=Math.cos(r)*i,t[1]=Math.sin(r)*i,t[2]=n*e,t}},{}],363:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[1],a=r[2],o=e[1]-i,s=e[2]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=e[0],t[1]=i+o*c-s*l,t[2]=a+o*l+s*c,t}},{}],364:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[0],a=r[2],o=e[0]-i,s=e[2]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=i+s*l+o*c,t[1]=e[1],t[2]=a+s*c-o*l,t}},{}],365:[function(t,e,r){e.exports=function(t,e,r,n){var i=r[0],a=r[1],o=e[0]-i,s=e[1]-a,l=Math.sin(n),c=Math.cos(n);return t[0]=i+o*c-s*l,t[1]=a+o*l+s*c,t[2]=e[2],t}},{}],366:[function(t,e,r){e.exports=function(t,e){return t[0]=Math.round(e[0]),t[1]=Math.round(e[1]),t[2]=Math.round(e[2]),t}},{}],367:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}},{}],368:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t}},{}],369:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e,t[1]=r,t[2]=n,t}},{}],370:[function(t,e,r){e.exports=t("./squaredDistance")},{"./squaredDistance":372}],371:[function(t,e,r){e.exports=t("./squaredLength")},{"./squaredLength":373}],372:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2];return r*r+n*n+i*i}},{}],373:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2];return e*e+r*r+n*n}},{}],374:[function(t,e,r){e.exports=t("./subtract")},{"./subtract":375}],375:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t}},{}],376:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2];return t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8],t}},{}],377:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[3]*n+r[7]*i+r[11]*a+r[15];return o=o||1,t[0]=(r[0]*n+r[4]*i+r[8]*a+r[12])/o,t[1]=(r[1]*n+r[5]*i+r[9]*a+r[13])/o,t[2]=(r[2]*n+r[6]*i+r[10]*a+r[14])/o,t}},{}],378:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2],c=r[3],u=c*n+s*a-l*i,h=c*i+l*n-o*a,f=c*a+o*i-s*n,p=-o*n-s*i-l*a;return t[0]=u*c+p*-o+h*-l-f*-s,t[1]=h*c+p*-s+f*-o-u*-l,t[2]=f*c+p*-l+u*-s-h*-o,t}},{}],379:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t}},{}],380:[function(t,e,r){e.exports=function(t){var e=new Float32Array(4);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e}},{}],381:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t}},{}],382:[function(t,e,r){e.exports=function(){var t=new Float32Array(4);return t[0]=0,t[1]=0,t[2]=0,t[3]=0,t}},{}],383:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2],a=e[3]-t[3];return Math.sqrt(r*r+n*n+i*i+a*a)}},{}],384:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]/r[0],t[1]=e[1]/r[1],t[2]=e[2]/r[2],t[3]=e[3]/r[3],t}},{}],385:[function(t,e,r){e.exports=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]}},{}],386:[function(t,e,r){e.exports=function(t,e,r,n){var i=new Float32Array(4);return i[0]=t,i[1]=e,i[2]=r,i[3]=n,i}},{}],387:[function(t,e,r){e.exports={create:t("./create"),clone:t("./clone"),fromValues:t("./fromValues"),copy:t("./copy"),set:t("./set"),add:t("./add"),subtract:t("./subtract"),multiply:t("./multiply"),divide:t("./divide"),min:t("./min"),max:t("./max"),scale:t("./scale"),scaleAndAdd:t("./scaleAndAdd"),distance:t("./distance"),squaredDistance:t("./squaredDistance"),length:t("./length"),squaredLength:t("./squaredLength"),negate:t("./negate"),inverse:t("./inverse"),normalize:t("./normalize"),dot:t("./dot"),lerp:t("./lerp"),random:t("./random"),transformMat4:t("./transformMat4"),transformQuat:t("./transformQuat")}},{"./add":379,"./clone":380,"./copy":381,"./create":382,"./distance":383,"./divide":384,"./dot":385,"./fromValues":386,"./inverse":388,"./length":389,"./lerp":390,"./max":391,"./min":392,"./multiply":393,"./negate":394,"./normalize":395,"./random":396,"./scale":397,"./scaleAndAdd":398,"./set":399,"./squaredDistance":400,"./squaredLength":401,"./subtract":402,"./transformMat4":403,"./transformQuat":404}],388:[function(t,e,r){e.exports=function(t,e){return t[0]=1/e[0],t[1]=1/e[1],t[2]=1/e[2],t[3]=1/e[3],t}},{}],389:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3];return Math.sqrt(e*e+r*r+n*n+i*i)}},{}],390:[function(t,e,r){e.exports=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3];return t[0]=i+n*(r[0]-i),t[1]=a+n*(r[1]-a),t[2]=o+n*(r[2]-o),t[3]=s+n*(r[3]-s),t}},{}],391:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.max(e[0],r[0]),t[1]=Math.max(e[1],r[1]),t[2]=Math.max(e[2],r[2]),t[3]=Math.max(e[3],r[3]),t}},{}],392:[function(t,e,r){e.exports=function(t,e,r){return t[0]=Math.min(e[0],r[0]),t[1]=Math.min(e[1],r[1]),t[2]=Math.min(e[2],r[2]),t[3]=Math.min(e[3],r[3]),t}},{}],393:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t}},{}],394:[function(t,e,r){e.exports=function(t,e){return t[0]=-e[0],t[1]=-e[1],t[2]=-e[2],t[3]=-e[3],t}},{}],395:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*r+n*n+i*i+a*a;o>0&&(o=1/Math.sqrt(o),t[0]=r*o,t[1]=n*o,t[2]=i*o,t[3]=a*o);return t}},{}],396:[function(t,e,r){var n=t("./normalize"),i=t("./scale");e.exports=function(t,e){return e=e||1,t[0]=Math.random(),t[1]=Math.random(),t[2]=Math.random(),t[3]=Math.random(),n(t,t),i(t,t,e),t}},{"./normalize":395,"./scale":397}],397:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t}},{}],398:[function(t,e,r){e.exports=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t}},{}],399:[function(t,e,r){e.exports=function(t,e,r,n,i){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t}},{}],400:[function(t,e,r){e.exports=function(t,e){var r=e[0]-t[0],n=e[1]-t[1],i=e[2]-t[2],a=e[3]-t[3];return r*r+n*n+i*i+a*a}},{}],401:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3];return e*e+r*r+n*n+i*i}},{}],402:[function(t,e,r){e.exports=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t}},{}],403:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}},{}],404:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2],c=r[3],u=c*n+s*a-l*i,h=c*i+l*n-o*a,f=c*a+o*i-s*n,p=-o*n-s*i-l*a;return t[0]=u*c+p*-o+h*-l-f*-s,t[1]=h*c+p*-s+f*-o-u*-l,t[2]=f*c+p*-l+u*-s-h*-o,t[3]=e[3],t}},{}],405:[function(t,e,r){var n=t("glsl-tokenizer"),i=t("atob-lite");e.exports=function(t){for(var e=Array.isArray(t)?t:n(t),r=0;r<e.length;r++){var a=e[r];if("preprocessor"===a.type){var o=a.data.match(/\#define\s+SHADER_NAME(_B64)?\s+(.+)$/);if(o&&o[2]){var s=o[1],l=o[2];return(s?i(l):l).trim()}}}}},{"atob-lite":77,"glsl-tokenizer":412}],406:[function(t,e,r){e.exports=function(t){var e,r,c,u=0,h=0,f=999,p=[],d=[],g=1,m=0,v=0,y=!1,x=!1,b="",_=a,w=n;"300 es"===(t=t||{}).version&&(_=s,w=o);var T={},k={};for(u=0;u<_.length;u++)T[_[u]]=!0;for(u=0;u<w.length;u++)k[w[u]]=!0;return function(t){return d=[],null!==t?function(t){u=0,t.toString&&(t=t.toString());var r;b+=t.replace(/\r\n/g,"\n"),c=b.length;for(;e=b[u],u<c;){switch(r=u,f){case 0:u=C();break;case 1:case 2:u=E();break;case 3:u=L();break;case 4:u=z();break;case 11:u=I();break;case 5:u=O();break;case 9999:u=D();break;case 9:u=S();break;case 999:u=A()}if(r!==u)switch(b[r]){case"\n":m=0,++g;break;default:++m}}return h+=u,b=b.slice(u),d}(t):function(t){p.length&&M(p.join(""));return f=10,M("(eof)"),d}()};function M(t){t.length&&d.push({type:l[f],data:t,position:v,line:g,column:m})}function A(){return p=p.length?[]:p,"/"===r&&"*"===e?(v=h+u-1,f=0,r=e,u+1):"/"===r&&"/"===e?(v=h+u-1,f=1,r=e,u+1):"#"===e?(f=2,v=h+u,u):/\s/.test(e)?(f=9,v=h+u,u):(y=/\d/.test(e),x=/[^\w_]/.test(e),v=h+u,f=y?4:x?3:9999,u)}function S(){return/[^\s]/g.test(e)?(M(p.join("")),f=999,u):(p.push(e),r=e,u+1)}function E(){return"\r"!==e&&"\n"!==e||"\\"===r?(p.push(e),r=e,u+1):(M(p.join("")),f=999,u)}function C(){return"/"===e&&"*"===r?(p.push(e),M(p.join("")),f=999,u+1):(p.push(e),r=e,u+1)}function L(){if("."===r&&/\d/.test(e))return f=5,u;if("/"===r&&"*"===e)return f=0,u;if("/"===r&&"/"===e)return f=1,u;if("."===e&&p.length){for(;P(p););return f=5,u}if(";"===e||")"===e||"("===e){if(p.length)for(;P(p););return M(e),f=999,u+1}var t=2===p.length&&"="!==e;if(/[\w_\d\s]/.test(e)||t){for(;P(p););return f=999,u}return p.push(e),r=e,u+1}function P(t){for(var e,r,n=0;;){if(e=i.indexOf(t.slice(0,t.length+n).join("")),r=i[e],-1===e){if(n--+t.length>0)continue;r=t.slice(0,1).join("")}return M(r),v+=r.length,(p=p.slice(r.length)).length}}function I(){return/[^a-fA-F0-9]/.test(e)?(M(p.join("")),f=999,u):(p.push(e),r=e,u+1)}function z(){return"."===e||/[eE]/.test(e)?(p.push(e),f=5,r=e,u+1):"x"===e&&1===p.length&&"0"===p[0]?(f=11,p.push(e),r=e,u+1):/[^\d]/.test(e)?(M(p.join("")),f=999,u):(p.push(e),r=e,u+1)}function O(){return"f"===e&&(p.push(e),r=e,u+=1),/[eE]/.test(e)?(p.push(e),r=e,u+1):("-"!==e&&"+"!==e||!/[eE]/.test(r))&&/[^\d]/.test(e)?(M(p.join("")),f=999,u):(p.push(e),r=e,u+1)}function D(){if(/[^\d\w_]/.test(e)){var t=p.join("");return f=k[t]?8:T[t]?7:6,M(p.join("")),f=999,u}return p.push(e),r=e,u+1}};var n=t("./lib/literals"),i=t("./lib/operators"),a=t("./lib/builtins"),o=t("./lib/literals-300es"),s=t("./lib/builtins-300es"),l=["block-comment","line-comment","preprocessor","operator","integer","float","ident","builtin","keyword","whitespace","eof","integer"]},{"./lib/builtins":408,"./lib/builtins-300es":407,"./lib/literals":410,"./lib/literals-300es":409,"./lib/operators":411}],407:[function(t,e,r){var n=t("./builtins");n=n.slice().filter((function(t){return!/^(gl\_|texture)/.test(t)})),e.exports=n.concat(["gl_VertexID","gl_InstanceID","gl_Position","gl_PointSize","gl_FragCoord","gl_FrontFacing","gl_FragDepth","gl_PointCoord","gl_MaxVertexAttribs","gl_MaxVertexUniformVectors","gl_MaxVertexOutputVectors","gl_MaxFragmentInputVectors","gl_MaxVertexTextureImageUnits","gl_MaxCombinedTextureImageUnits","gl_MaxTextureImageUnits","gl_MaxFragmentUniformVectors","gl_MaxDrawBuffers","gl_MinProgramTexelOffset","gl_MaxProgramTexelOffset","gl_DepthRangeParameters","gl_DepthRange","trunc","round","roundEven","isnan","isinf","floatBitsToInt","floatBitsToUint","intBitsToFloat","uintBitsToFloat","packSnorm2x16","unpackSnorm2x16","packUnorm2x16","unpackUnorm2x16","packHalf2x16","unpackHalf2x16","outerProduct","transpose","determinant","inverse","texture","textureSize","textureProj","textureLod","textureOffset","texelFetch","texelFetchOffset","textureProjOffset","textureLodOffset","textureProjLod","textureProjLodOffset","textureGrad","textureGradOffset","textureProjGrad","textureProjGradOffset"])},{"./builtins":408}],408:[function(t,e,r){e.exports=["abs","acos","all","any","asin","atan","ceil","clamp","cos","cross","dFdx","dFdy","degrees","distance","dot","equal","exp","exp2","faceforward","floor","fract","gl_BackColor","gl_BackLightModelProduct","gl_BackLightProduct","gl_BackMaterial","gl_BackSecondaryColor","gl_ClipPlane","gl_ClipVertex","gl_Color","gl_DepthRange","gl_DepthRangeParameters","gl_EyePlaneQ","gl_EyePlaneR","gl_EyePlaneS","gl_EyePlaneT","gl_Fog","gl_FogCoord","gl_FogFragCoord","gl_FogParameters","gl_FragColor","gl_FragCoord","gl_FragData","gl_FragDepth","gl_FragDepthEXT","gl_FrontColor","gl_FrontFacing","gl_FrontLightModelProduct","gl_FrontLightProduct","gl_FrontMaterial","gl_FrontSecondaryColor","gl_LightModel","gl_LightModelParameters","gl_LightModelProducts","gl_LightProducts","gl_LightSource","gl_LightSourceParameters","gl_MaterialParameters","gl_MaxClipPlanes","gl_MaxCombinedTextureImageUnits","gl_MaxDrawBuffers","gl_MaxFragmentUniformComponents","gl_MaxLights","gl_MaxTextureCoords","gl_MaxTextureImageUnits","gl_MaxTextureUnits","gl_MaxVaryingFloats","gl_MaxVertexAttribs","gl_MaxVertexTextureImageUnits","gl_MaxVertexUniformComponents","gl_ModelViewMatrix","gl_ModelViewMatrixInverse","gl_ModelViewMatrixInverseTranspose","gl_ModelViewMatrixTranspose","gl_ModelViewProjectionMatrix","gl_ModelViewProjectionMatrixInverse","gl_ModelViewProjectionMatrixInverseTranspose","gl_ModelViewProjectionMatrixTranspose","gl_MultiTexCoord0","gl_MultiTexCoord1","gl_MultiTexCoord2","gl_MultiTexCoord3","gl_MultiTexCoord4","gl_MultiTexCoord5","gl_MultiTexCoord6","gl_MultiTexCoord7","gl_Normal","gl_NormalMatrix","gl_NormalScale","gl_ObjectPlaneQ","gl_ObjectPlaneR","gl_ObjectPlaneS","gl_ObjectPlaneT","gl_Point","gl_PointCoord","gl_PointParameters","gl_PointSize","gl_Position","gl_ProjectionMatrix","gl_ProjectionMatrixInverse","gl_ProjectionMatrixInverseTranspose","gl_ProjectionMatrixTranspose","gl_SecondaryColor","gl_TexCoord","gl_TextureEnvColor","gl_TextureMatrix","gl_TextureMatrixInverse","gl_TextureMatrixInverseTranspose","gl_TextureMatrixTranspose","gl_Vertex","greaterThan","greaterThanEqual","inversesqrt","length","lessThan","lessThanEqual","log","log2","matrixCompMult","max","min","mix","mod","normalize","not","notEqual","pow","radians","reflect","refract","sign","sin","smoothstep","sqrt","step","tan","texture2D","texture2DLod","texture2DProj","texture2DProjLod","textureCube","textureCubeLod","texture2DLodEXT","texture2DProjLodEXT","textureCubeLodEXT","texture2DGradEXT","texture2DProjGradEXT","textureCubeGradEXT"]},{}],409:[function(t,e,r){var n=t("./literals");e.exports=n.slice().concat(["layout","centroid","smooth","case","mat2x2","mat2x3","mat2x4","mat3x2","mat3x3","mat3x4","mat4x2","mat4x3","mat4x4","uvec2","uvec3","uvec4","samplerCubeShadow","sampler2DArray","sampler2DArrayShadow","isampler2D","isampler3D","isamplerCube","isampler2DArray","usampler2D","usampler3D","usamplerCube","usampler2DArray","coherent","restrict","readonly","writeonly","resource","atomic_uint","noperspective","patch","sample","subroutine","common","partition","active","filter","image1D","image2D","image3D","imageCube","iimage1D","iimage2D","iimage3D","iimageCube","uimage1D","uimage2D","uimage3D","uimageCube","image1DArray","image2DArray","iimage1DArray","iimage2DArray","uimage1DArray","uimage2DArray","image1DShadow","image2DShadow","image1DArrayShadow","image2DArrayShadow","imageBuffer","iimageBuffer","uimageBuffer","sampler1DArray","sampler1DArrayShadow","isampler1D","isampler1DArray","usampler1D","usampler1DArray","isampler2DRect","usampler2DRect","samplerBuffer","isamplerBuffer","usamplerBuffer","sampler2DMS","isampler2DMS","usampler2DMS","sampler2DMSArray","isampler2DMSArray","usampler2DMSArray"])},{"./literals":410}],410:[function(t,e,r){e.exports=["precision","highp","mediump","lowp","attribute","const","uniform","varying","break","continue","do","for","while","if","else","in","out","inout","float","int","uint","void","bool","true","false","discard","return","mat2","mat3","mat4","vec2","vec3","vec4","ivec2","ivec3","ivec4","bvec2","bvec3","bvec4","sampler1D","sampler2D","sampler3D","samplerCube","sampler1DShadow","sampler2DShadow","struct","asm","class","union","enum","typedef","template","this","packed","goto","switch","default","inline","noinline","volatile","public","static","extern","external","interface","long","short","double","half","fixed","unsigned","input","output","hvec2","hvec3","hvec4","dvec2","dvec3","dvec4","fvec2","fvec3","fvec4","sampler2DRect","sampler3DRect","sampler2DRectShadow","sizeof","cast","namespace","using"]},{}],411:[function(t,e,r){e.exports=["<<=",">>=","++","--","<<",">>","<=",">=","==","!=","&&","||","+=","-=","*=","/=","%=","&=","^^","^=","|=","(",")","[","]",".","!","~","*","/","%","+","-","<",">","&","^","|","?",":","=",",",";","{","}"]},{}],412:[function(t,e,r){var n=t("./index");e.exports=function(t,e){var r=n(e),i=[];return i=(i=i.concat(r(t))).concat(r(null))}},{"./index":406}],413:[function(t,e,r){e.exports=function(t){"string"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||"");return r.push(t[n]),r.join("")}},{}],414:[function(t,e,r){(function(r){"use strict";var n,i=t("is-browser");n="function"==typeof r.matchMedia?!r.matchMedia("(hover: none)").matches:i,e.exports=n}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"is-browser":438}],415:[function(t,e,r){"use strict";var n=t("is-browser");e.exports=n&&function(){var t=!1;try{var e=Object.defineProperty({},"passive",{get:function(){t=!0}});window.addEventListener("test",null,e),window.removeEventListener("test",null,e)}catch(e){t=!1}return t}()},{"is-browser":438}],416:[function(t,e,r){r.read=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},r.write=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g}},{}],417:[function(t,e,r){"use strict";var n=t("./types");e.exports=function(t,e){var r;for(r in n)if(n[r].detect(t,e))return r}},{"./types":420}],418:[function(t,e,r){(function(r){"use strict";var n=t("fs"),i=t("path"),a=t("./types"),o=t("./detector");function s(t,e){var r=o(t,e);if(r in a){var n=a[r].calculate(t,e);if(!1!==n)return n.type=r,n}throw new TypeError("unsupported file type: "+r+" (file: "+e+")")}e.exports=function(t,e){if(r.isBuffer(t))return s(t);if("string"!=typeof t)throw new TypeError("invalid invocation");var a=i.resolve(t);if("function"!=typeof e)return s(function(t){var e=n.openSync(t,"r"),i=n.fstatSync(e).size,a=Math.min(i,524288),o=r.alloc(a);return n.readSync(e,o,0,a,0),n.closeSync(e),o}(a),a);!function(t,e){n.open(t,"r",(function(i,a){if(i)return e(i);n.fstat(a,(function(i,o){if(i)return e(i);var s=o.size;if(s<=0)return e(new Error("File size is not greater than 0 \u2014\u2014 "+t));var l=Math.min(s,524288),c=r.alloc(l);n.read(a,c,0,l,0,(function(t){if(t)return e(t);n.close(a,(function(t){e(t,c)}))}))}))}))}(a,(function(t,r){if(t)return e(t);var n;try{n=s(r,a)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(a)}).call(this,t("buffer").Buffer)},{"./detector":417,"./types":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){return r=r||0,t["readUInt"+e+(n?"BE":"LE")].call(t,r)}},{}],420:[function(t,e,r){"use strict";var n={bmp:t("./types/bmp"),cur:t("./types/cur"),dds:t("./types/dds"),gif:t("./types/gif"),icns:t("./types/icns"),ico:t("./types/ico"),jpg:t("./types/jpg"),png:t("./types/png"),psd:t("./types/psd"),svg:t("./types/svg"),tiff:t("./types/tiff"),webp:t("./types/webp")};e.exports=n},{"./types/bmp":421,"./types/cur":422,"./types/dds":423,"./types/gif":424,"./types/icns":425,"./types/ico":426,"./types/jpg":427,"./types/png":428,"./types/psd":429,"./types/svg":430,"./types/tiff":431,"./types/webp":432}],421:[function(t,e,r){"use strict";e.exports={detect:function(t){return"BM"===t.toString("ascii",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){"use strict";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t("./ico").calculate}},{"./ico":426}],423:[function(t,e,r){"use strict";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){"use strict";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString("ascii",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){"use strict";var n={ICON:32,"ICN#":32,"icm#":16,icm4:16,icm8:16,"ics#":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function i(t,e){var r=e+4;return[t.toString("ascii",e,r),t.readUInt32BE(r)]}function a(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return"icns"===t.toString("ascii",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=a((e=i(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=a((e=i(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){"use strict";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function i(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=i(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(i(t,e));return n}}},{}],427:[function(t,e,r){"use strict";var n=t("../readUInt");function i(t){return"45786966"===t.toString("hex",2,6)}function a(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),i=r.toString("hex",6,8),a="4d4d"===i;if(a||"4949"===i)return function(t,e){for(var r,i,a=n(t,16,14,e),o=0;o<a;o++){if(i=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,i);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,a)}function s(t,e){if(e>t.length)throw new TypeError("Corrupt JPG, exceeded buffer limits");if(255!==t[e])throw new TypeError("Invalid JPG, marker table corrupted")}e.exports={detect:function(t){return"ffd8"===t.toString("hex",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),i(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=a(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError("Invalid JPG, no size found")}}},{"../readUInt":419}],428:[function(t,e,r){"use strict";e.exports={detect:function(t){if("PNG\r\n\x1a\n"===t.toString("ascii",1,8)){var e=t.toString("ascii",12,16);if("CgBI"===e&&(e=t.toString("ascii",28,32)),"IHDR"!==e)throw new TypeError("invalid png");return!0}},calculate:function(t){return"CgBI"===t.toString("ascii",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){"use strict";e.exports={detect:function(t){return"8BPS"===t.toString("ascii",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){"use strict";var n=/<svg\s([^>"']|"[^"]*"|'[^']*')*>/;var i={root:n,width:/\swidth=(['"])([^%]+?)\1/,height:/\sheight=(['"])([^%]+?)\1/,viewbox:/\sviewBox=(['"])(.+?)\1/},a={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(a[e[2]]||1))}function s(t){var e=t.split(" ");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString("utf8").match(i.root);if(e){var r=function(t){var e=t.match(i.width),r=t.match(i.height),n=t.match(i.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError("invalid svg")}}},{}],431:[function(t,e,r){(function(r){"use strict";var n=t("fs"),i=t("../readUInt");function a(t,e){var r=i(t,16,8,e);return(i(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString("hex",0,4);return"49492a00"===e||"4d4d002a"===e},calculate:function(t,e){if(!e)throw new TypeError("Tiff doesn't support buffer");var s="BE"===function(t){var e=t.toString("ascii",0,2);return"II"===e?"LE":"MM"===e?"BE":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=i(t,16,0,e),n=i(t,16,2,e),s=i(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=a(t,e)),t=o(t);return l}(function(t,e,a){var o=i(t,32,4,a),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,"r");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError("Invalid Tiff, missing tags");return{width:c,height:u}}}}).call(this,t("buffer").Buffer)},{"../readUInt":419,buffer:111,fs:109}],432:[function(t,e,r){"use strict";e.exports={detect:function(t){var e="RIFF"===t.toString("ascii",0,4),r="WEBP"===t.toString("ascii",8,12),n="VP8"===t.toString("ascii",12,15);return e&&r&&n},calculate:function(t){var e=t.toString("ascii",12,16);if(t=t.slice(20,30),"VP8X"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if("VP8 "===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString("hex",3,6);return"VP8L"===e&&"9d012a"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error("Must have at least d+1 points");var i=t[0].length;if(r<=i)throw new Error("Must input at least d+1 points");var o=t.slice(0,i+1),s=n.apply(void 0,o);if(0===s)throw new Error("Input not in general position");for(var l=new Array(i+1),u=0;u<=i;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new a(l,new Array(i+1),!1),f=h.adjacent,p=new Array(i+2);for(u=0;u<=i;++u){for(var d=l.slice(),g=0;g<=i;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new a(d,new Array(i+1),!0);f[u]=v,p[u]=v}p[i+1]=h;for(u=0;u<=i;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=i;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=i;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(i,o,p),w=!!e;for(u=i+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t("robust-orientation"),i=t("simplicial-complex").compareCells;function a(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function o(t,e,r){this.vertices=t,this.cell=e,this.index=r}function s(t,e){return i(t.vertices,e.vertices)}a.prototype.flip=function(){var t=this.vertices[0];this.vertices[0]=this.vertices[1],this.vertices[1]=t;var e=this.adjacent[0];this.adjacent[0]=this.adjacent[1],this.adjacent[1]=e};var l=[];function c(t,e,r){this.dimension=t,this.vertices=e,this.simplices=r,this.interior=r.filter((function(t){return!t.boundary})),this.tuple=new Array(t+1);for(var i=0;i<=t;++i)this.tuple[i]=this.vertices[i];var a=l[t];a||(a=l[t]=function(t){for(var e=["function orient(){var tuple=this.tuple;return test("],r=0;r<=t;++r)r>0&&e.push(","),e.push("tuple[",r,"]");e.push(")}return orient");var i=new Function("test",e.join("")),a=n[t+1];return a||(a=n),i(a)}(t)),this.orient=a}var u=c.prototype;u.handleBoundaryDegeneracy=function(t,e){var r=this.dimension,n=this.vertices.length-1,i=this.tuple,a=this.vertices,o=[t];for(t.lastVisited=-n;o.length>0;){(t=o.pop()).vertices;for(var s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];i[h]=f<0?e:a[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)a[u]=i[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=a[u];a[u]=t;var p=this.orient();if(a[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=i[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new a(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{"robust-orientation":520,"simplicial-complex":530}],434:[function(t,e,r){"use strict";var n=t("binary-search-bounds");function i(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var i=r(t[n]);if(i)return i}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],a=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?a.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new i(n,m(a),m(o),c,u)}function v(t){this.root=t}a.intervals=function(t){return t.push.apply(t,this.leftPoints),this.left&&this.left.intervals(t),this.right&&this.right.intervals(t),t},a.insert=function(t){var e=this.count-this.leftPoints.length;if(this.count+=1,t[1]<this.mid)this.left?4*(this.left.count+1)>3*(e+1)?l(this,t):this.left.insert(t):this.left=m([t]);else if(t[0]>this.mid)this.right?4*(this.right.count+1)>3*(e+1)?l(this,t):this.right.insert(t):this.right=m([t]);else{var r=n.ge(this.leftPoints,t,d),i=n.ge(this.rightPoints,t,g);this.leftPoints.splice(r,0,t),this.rightPoints.splice(i,0,t)}},a.remove=function(t){var e=this.count-this.leftPoints;if(t[1]<this.mid)return this.left?4*(this.right?this.right.count:0)>3*(e-1)?c(this,t):2===(s=this.left.remove(t))?(this.left=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(t[0]>this.mid)return this.right?4*(this.left?this.left.count:0)>3*(e-1)?c(this,t):2===(s=this.right.remove(t))?(this.right=null,this.count-=1,1):(1===s&&(this.count-=1),s):0;if(1===this.count)return this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,i=this.left;i.right;)r=i,i=i.right;if(r===this)i.right=this.right;else{var a=this.left,s=this.right;r.count-=i.count,r.right=i.left,i.left=a,i.right=s}o(this,i),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(a=n.ge(this.leftPoints,t,d);a<this.leftPoints.length&&this.leftPoints[a][0]===t[0];++a)if(this.leftPoints[a]===t){this.count-=1,this.leftPoints.splice(a,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},a.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,"count",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,"intervals",{get:function(){return this.root?this.root.intervals([]):[]}})},{"binary-search-bounds":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){"use strict";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){"use strict";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&"function"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}
 /*!
  * Determine if an object is a Buffer
  *
  * @author   Feross Aboukhadijeh <https://feross.org>
  * @license  MIT
  */
-e.exports=function(t){return null!=t&&(n(t)||function(t){return"function"==typeof t.readFloatLE&&"function"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],238:[function(t,e,r){"use strict";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||"undefined"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&"string"==typeof e.headers["user-agent"]&&(e=e.headers["user-agent"]),"string"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf("Macintosh")&&-1!==e.indexOf("Safari")&&(r=!0),r}},{}],239:[function(t,e,r){"use strict";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],240:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],241:[function(t,e,r){var n=t("./normalize"),i=t("gl-mat4/create"),a=t("gl-mat4/clone"),o=t("gl-mat4/determinant"),s=t("gl-mat4/invert"),l=t("gl-mat4/transpose"),c={length:t("gl-vec3/length"),normalize:t("gl-vec3/normalize"),dot:t("gl-vec3/dot"),cross:t("gl-vec3/cross")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function m(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,g,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),g||(g=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,A=u[3],M=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==A||0!==M||0!==S){if(h[0]=A,h[1]=M,h[2]=S,h[3]=P,!s(f,f))return!1;l(f,f),y=g,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else g[0]=g[1]=g[2]=0,g[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),m(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),m(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),m(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{"./normalize":242,"gl-mat4/clone":92,"gl-mat4/create":93,"gl-mat4/determinant":94,"gl-mat4/invert":98,"gl-mat4/transpose":109,"gl-vec3/cross":157,"gl-vec3/dot":162,"gl-vec3/length":172,"gl-vec3/normalize":179}],242:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],243:[function(t,e,r){var n=t("gl-vec3/lerp"),i=t("mat4-recompose"),a=t("mat4-decompose"),o=t("gl-mat4/determinant"),s=t("quat-slerp"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{"gl-mat4/determinant":94,"gl-vec3/lerp":173,"mat4-decompose":241,"mat4-recompose":244,"quat-slerp":271}],244:[function(t,e,r){var n={identity:t("gl-mat4/identity"),translate:t("gl-mat4/translate"),multiply:t("gl-mat4/multiply"),create:t("gl-mat4/create"),scale:t("gl-mat4/scale"),fromRotationTranslation:t("gl-mat4/fromRotationTranslation")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{"gl-mat4/create":93,"gl-mat4/fromRotationTranslation":96,"gl-mat4/identity":97,"gl-mat4/multiply":100,"gl-mat4/scale":107,"gl-mat4/translate":108}],245:[function(t,e,r){"use strict";var n=t("binary-search-bounds"),i=t("mat4-interpolate"),a=t("gl-mat4/invert"),o=t("gl-mat4/rotateX"),s=t("gl-mat4/rotateY"),l=t("gl-mat4/rotateZ"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/translate"),f=(t("gl-mat4/scale"),t("gl-vec3/normalize")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var m=this.computedUp;m[0]=o[1],m[1]=o[5],m[2]=o[9],f(m,m);var g=this.computedInverse;a(g,o);var v=this.computedEye,y=g[15];v[0]=g[12]/y,v[1]=g[13]/y,v[2]=g[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||h,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var i=0,a=0;a<3;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&s(i,i,e),r&&o(i,i,r),n&&l(i,i,n),this.setMatrix(t,a(this.computedMatrix,i))};var m=[0,0,0];d.pan=function(t,e,r,n){m[0]=-(e||0),m[1]=-(r||0),m[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;u(i,i,m),this.setMatrix(t,a(i,i))},d.translate=function(t,e,r,n){m[0]=e||0,m[1]=r||0,m[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;u(i,i,m),this.setMatrix(t,i)},d.setMatrix=function(t,e){if(!(t<this.lastT())){this._time.push(t);for(var r=0;r<16;++r)this._components.push(e[r])}},d.setDistance=function(t,e){this.computedRadius[0]=e},d.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},d.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{"binary-search-bounds":31,"gl-mat4/invert":98,"gl-mat4/lookAt":99,"gl-mat4/rotateX":104,"gl-mat4/rotateY":105,"gl-mat4/rotateZ":106,"gl-mat4/scale":107,"gl-mat4/translate":108,"gl-vec3/normalize":179,"mat4-interpolate":243}],246:[function(t,e,r){"use strict";e.exports=function(t){var e=t.length;if(e<3){for(var r=new Array(e),i=0;i<e;++i)r[i]=i;return 2===e&&t[0][0]===t[1][0]&&t[0][1]===t[1][1]?[0]:r}var a=new Array(e);for(i=0;i<e;++i)a[i]=i;a.sort((function(e,r){var n=t[e][0]-t[r][0];return n||t[e][1]-t[r][1]}));var o=[a[0],a[1]],s=[a[0],a[1]];for(i=2;i<e;++i){for(var l=a[i],c=t[l],u=o.length;u>1&&n(t[o[u-2]],t[o[u-1]],c)<=0;)u-=1,o.pop();for(o.push(l),u=s.length;u>1&&n(t[s[u-2]],t[s[u-1]],c)>=0;)u-=1,s.pop();s.push(l)}r=new Array(s.length+o.length-2);for(var f=0,h=(i=0,o.length);i<h;++i)r[f++]=o[i];for(var p=s.length-2;p>0;--p)r[f++]=s[p];return r};var n=t("robust-orientation")[3]},{"robust-orientation":284}],247:[function(t,e,r){"use strict";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return"altKey"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),"shiftKey"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),"ctrlKey"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),"metaKey"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);"buttons"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener("mousemove",p),t.addEventListener("mousedown",d),t.addEventListener("mouseup",m),t.addEventListener("mouseleave",u),t.addEventListener("mouseenter",u),t.addEventListener("mouseout",u),t.addEventListener("mouseover",u),t.addEventListener("blur",f),t.addEventListener("keyup",h),t.addEventListener("keydown",h),t.addEventListener("keypress",h),t!==window&&(window.addEventListener("blur",f),window.addEventListener("keyup",h),window.addEventListener("keydown",h),window.addEventListener("keypress",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener("mousemove",p),t.removeEventListener("mousedown",d),t.removeEventListener("mouseup",m),t.removeEventListener("mouseleave",u),t.removeEventListener("mouseenter",u),t.removeEventListener("mouseout",u),t.removeEventListener("mouseover",u),t.removeEventListener("blur",f),t.removeEventListener("keyup",h),t.removeEventListener("keydown",h),t.removeEventListener("keypress",h),t!==window&&(window.removeEventListener("blur",f),window.removeEventListener("keyup",h),window.removeEventListener("keydown",h),window.removeEventListener("keypress",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t("mouse-event")},{"mouse-event":249}],248:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],249:[function(t,e,r){"use strict";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if("object"==typeof t){if("buttons"in t)return t.buttons;if("which"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if("button"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if("object"==typeof t){if("offsetX"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if("object"==typeof t){if("offsetY"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],250:[function(t,e,r){"use strict";var n=t("to-px");e.exports=function(t,e,r){"function"==typeof t&&(r=!!e,e=t,t=window);var i=n("ex",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener("wheel",a),a}},{"to-px":304}],251:[function(t,e,r){"use strict";var n=t("typedarray-pool");e.exports=function(t){function e(t){throw new Error("ndarray-extract-contour: "+t)}"object"!=typeof t&&e("Must specify arguments");var r=t.order;Array.isArray(r)||e("Must specify order");var a=t.arrayArguments||1;a<1&&e("Must have at least one array argument");var o=t.scalarArguments||0;o<0&&e("Scalar arg count must be > 0");"function"!=typeof t.vertex&&e("Must specify vertex creation function");"function"!=typeof t.cell&&e("Must specify cell creation function");"function"!=typeof t.phase&&e("Must specify phase function");for(var s=t.getters||[],l=new Array(a),c=0;c<a;++c)s.indexOf(c)>=0?l[c]=!0:l[c]=!1;return function(t,e,r,a,o,s){var l=[s,o].join(",");return(0,i[l])(t,e,r,n.mallocUint32,n.freeUint32)}(t.vertex,t.cell,t.phase,0,r,l)};var i={"false,0,1":function(t,e,r,n,i){return function(a,o,s,l){var c,u=0|a.shape[0],f=0|a.shape[1],h=a.data,p=0|a.offset,d=0|a.stride[0],m=0|a.stride[1],g=p,v=0|-d,y=0,x=0|-m,b=0,_=-d-m|0,w=0,T=0|d,k=m-d*u|0,A=0,M=0,S=0,E=2*u|0,L=n(E),C=n(E),P=0,I=0,O=-1,z=-1,D=0,R=0|-u,F=0|u,B=0,N=-u-1|0,j=u-1|0,U=0,V=0,H=0;for(A=0;A<u;++A)L[P++]=r(h[g],o,s,l),g+=T;if(g+=k,f>0){if(M=1,L[P++]=r(h[g],o,s,l),g+=T,u>0)for(A=1,c=h[g],I=L[P]=r(c,o,s,l),D=L[P+O],B=L[P+R],U=L[P+N],I===D&&I===B&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,D,B,U,o,s,l),V=C[P]=S++),P+=1,g+=T,A=2;A<u;++A)c=h[g],I=L[P]=r(c,o,s,l),D=L[P+O],B=L[P+R],U=L[P+N],I===D&&I===B&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,D,B,U,o,s,l),V=C[P]=S++,U!==D&&e(C[P+O],V,w,y,U,D,o,s,l)),P+=1,g+=T;for(g+=k,P=0,H=O,O=z,z=H,H=R,R=F,F=H,H=N,N=j,j=H,M=2;M<f;++M){if(L[P++]=r(h[g],o,s,l),g+=T,u>0)for(A=1,c=h[g],I=L[P]=r(c,o,s,l),D=L[P+O],B=L[P+R],U=L[P+N],I===D&&I===B&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,D,B,U,o,s,l),V=C[P]=S++,U!==B&&e(C[P+R],V,b,w,B,U,o,s,l)),P+=1,g+=T,A=2;A<u;++A)c=h[g],I=L[P]=r(c,o,s,l),D=L[P+O],B=L[P+R],U=L[P+N],I===D&&I===B&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,D,B,U,o,s,l),V=C[P]=S++,U!==B&&e(C[P+R],V,b,w,B,U,o,s,l),U!==D&&e(C[P+O],V,w,y,U,D,o,s,l)),P+=1,g+=T;1&M&&(P=0),H=O,O=z,z=H,H=R,R=F,F=H,H=N,N=j,j=H,g+=k}}i(C),i(L)}},"false,1,0":function(t,e,r,n,i){return function(a,o,s,l){var c,u=0|a.shape[0],f=0|a.shape[1],h=a.data,p=0|a.offset,d=0|a.stride[0],m=0|a.stride[1],g=p,v=0|-d,y=0,x=0|-m,b=0,_=-d-m|0,w=0,T=0|m,k=d-m*f|0,A=0,M=0,S=0,E=2*f|0,L=n(E),C=n(E),P=0,I=0,O=-1,z=-1,D=0,R=0|-f,F=0|f,B=0,N=-f-1|0,j=f-1|0,U=0,V=0,H=0;for(M=0;M<f;++M)L[P++]=r(h[g],o,s,l),g+=T;if(g+=k,u>0){if(A=1,L[P++]=r(h[g],o,s,l),g+=T,f>0)for(M=1,c=h[g],I=L[P]=r(c,o,s,l),B=L[P+R],D=L[P+O],U=L[P+N],I===B&&I===D&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,B,D,U,o,s,l),V=C[P]=S++),P+=1,g+=T,M=2;M<f;++M)c=h[g],I=L[P]=r(c,o,s,l),B=L[P+R],D=L[P+O],U=L[P+N],I===B&&I===D&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,B,D,U,o,s,l),V=C[P]=S++,U!==D&&e(C[P+O],V,b,w,D,U,o,s,l)),P+=1,g+=T;for(g+=k,P=0,H=R,R=F,F=H,H=O,O=z,z=H,H=N,N=j,j=H,A=2;A<u;++A){if(L[P++]=r(h[g],o,s,l),g+=T,f>0)for(M=1,c=h[g],I=L[P]=r(c,o,s,l),B=L[P+R],D=L[P+O],U=L[P+N],I===B&&I===D&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,B,D,U,o,s,l),V=C[P]=S++,U!==B&&e(C[P+R],V,w,y,U,B,o,s,l)),P+=1,g+=T,M=2;M<f;++M)c=h[g],I=L[P]=r(c,o,s,l),B=L[P+R],D=L[P+O],U=L[P+N],I===B&&I===D&&I===U||(y=h[g+v],b=h[g+x],w=h[g+_],t(A,M,c,y,b,w,I,B,D,U,o,s,l),V=C[P]=S++,U!==D&&e(C[P+O],V,b,w,D,U,o,s,l),U!==B&&e(C[P+R],V,w,y,U,B,o,s,l)),P+=1,g+=T;1&A&&(P=0),H=R,R=F,F=H,H=O,O=z,z=H,H=N,N=j,j=H,g+=k}}i(C),i(L)}}}},{"typedarray-pool":308}],252:[function(t,e,r){"use strict";var n=t("dup"),i={zero:function(t,e,r,n){var i=t[0];n|=0;var a=0,o=r[0];for(a=0;a<i;++a)e[n]=0,n+=o},fdTemplate1:function(t,e,r,n,i,a,o){var s=t[0],l=r[0],c=-1*l,u=l;n|=0,o|=0;var f=0,h=l,p=a[0];for(f=0;f<s;++f)i[o]=.5*(e[n+c]-e[n+u]),n+=h,o+=p},fdTemplate2:function(t,e,r,n,i,a,o,s,l,c){var u=t[0],f=t[1],h=r[0],p=r[1],d=a[0],m=a[1],g=l[0],v=l[1],y=-1*h,x=h,b=-1*p,_=p;n|=0,o|=0,c|=0;var w=0,T=0,k=p,A=h-f*p,M=m,S=d-f*m,E=v,L=g-f*v;for(T=0;T<u;++T){for(w=0;w<f;++w)i[o]=.5*(e[n+y]-e[n+x]),s[c]=.5*(e[n+b]-e[n+_]),n+=k,o+=M,c+=E;n+=A,o+=S,c+=L}}},a={cdiff:function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=n.dtype,l=n.order,c=i.dtype,u=i.order,f=[a,o.join(),s,l.join(),c,u.join()].join(),h=e[f];return h||(e[f]=h=t([a,o,s,l,c,u])),h(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset,i.data,i.stride,0|i.offset)}},zero:function(t){var e={};return function(r){var n=r.dtype,i=r.order,a=[n,i.join()].join(),o=e[a];return o||(e[a]=o=t([n,i])),o(r.shape.slice(0),r.data,r.stride,0|r.offset)}},fdTemplate1:function(t){var e={};return function(r,n){var i=r.dtype,a=r.order,o=n.dtype,s=n.order,l=[i,a.join(),o,s.join()].join(),c=e[l];return c||(e[l]=c=t([i,a,o,s])),c(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset)}},fdTemplate2:function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=n.dtype,l=n.order,c=i.dtype,u=i.order,f=[a,o.join(),s,l.join(),c,u.join()].join(),h=e[f];return h||(e[f]=h=t([a,o,s,l,c,u])),h(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset,i.data,i.stride,0|i.offset)}}};function o(t){return(0,a[t.funcName])(s.bind(void 0,t))}function s(t){return i[t.funcName]}function l(t){return o({funcName:t.funcName})}var c={},u={},f=l({funcName:"cdiff"}),h=l({funcName:"zero"});function p(t){return t in c?c[t]:c[t]=l({funcName:"fdTemplate"+t})}function d(t,e,r,n){return function(t,i){var a=i.shape.slice();return a[0]>2&&a[1]>2&&n(i.pick(-1,-1).lo(1,1).hi(a[0]-2,a[1]-2),t.pick(-1,-1,0).lo(1,1).hi(a[0]-2,a[1]-2),t.pick(-1,-1,1).lo(1,1).hi(a[0]-2,a[1]-2)),a[1]>2&&(r(i.pick(0,-1).lo(1).hi(a[1]-2),t.pick(0,-1,1).lo(1).hi(a[1]-2)),e(t.pick(0,-1,0).lo(1).hi(a[1]-2))),a[1]>2&&(r(i.pick(a[0]-1,-1).lo(1).hi(a[1]-2),t.pick(a[0]-1,-1,1).lo(1).hi(a[1]-2)),e(t.pick(a[0]-1,-1,0).lo(1).hi(a[1]-2))),a[0]>2&&(r(i.pick(-1,0).lo(1).hi(a[0]-2),t.pick(-1,0,0).lo(1).hi(a[0]-2)),e(t.pick(-1,0,1).lo(1).hi(a[0]-2))),a[0]>2&&(r(i.pick(-1,a[1]-1).lo(1).hi(a[0]-2),t.pick(-1,a[1]-1,0).lo(1).hi(a[0]-2)),e(t.pick(-1,a[1]-1,1).lo(1).hi(a[0]-2))),t.set(0,0,0,0),t.set(0,0,1,0),t.set(a[0]-1,0,0,0),t.set(a[0]-1,0,1,0),t.set(0,a[1]-1,0,0),t.set(0,a[1]-1,1,0),t.set(a[0]-1,a[1]-1,0,0),t.set(a[0]-1,a[1]-1,1,0),t}}e.exports=function(t,e,r){return Array.isArray(r)||(r=n(e.dimension,"string"==typeof r?r:"clamp")),0===e.size?t:0===e.dimension?(t.set(0),t):function(t){var e=t.join();if(a=u[e])return a;for(var r=t.length,n=[f,h],i=1;i<=r;++i)n.push(p(i));var a=d.apply(void 0,n);return u[e]=a,a}(r)(t,e)}},{dup:65}],253:[function(t,e,r){"use strict";function n(t,e){var r=Math.floor(e),n=e-r,i=0<=r&&r<t.shape[0],a=0<=r+1&&r+1<t.shape[0];return(1-n)*(i?+t.get(r):0)+n*(a?+t.get(r+1):0)}function i(t,e,r){var n=Math.floor(e),i=e-n,a=0<=n&&n<t.shape[0],o=0<=n+1&&n+1<t.shape[0],s=Math.floor(r),l=r-s,c=0<=s&&s<t.shape[1],u=0<=s+1&&s+1<t.shape[1],f=a&&c?t.get(n,s):0,h=a&&u?t.get(n,s+1):0;return(1-l)*((1-i)*f+i*(o&&c?t.get(n+1,s):0))+l*((1-i)*h+i*(o&&u?t.get(n+1,s+1):0))}function a(t,e,r,n){var i=Math.floor(e),a=e-i,o=0<=i&&i<t.shape[0],s=0<=i+1&&i+1<t.shape[0],l=Math.floor(r),c=r-l,u=0<=l&&l<t.shape[1],f=0<=l+1&&l+1<t.shape[1],h=Math.floor(n),p=n-h,d=0<=h&&h<t.shape[2],m=0<=h+1&&h+1<t.shape[2],g=o&&u&&d?t.get(i,l,h):0,v=o&&f&&d?t.get(i,l+1,h):0,y=s&&u&&d?t.get(i+1,l,h):0,x=s&&f&&d?t.get(i+1,l+1,h):0,b=o&&u&&m?t.get(i,l,h+1):0,_=o&&f&&m?t.get(i,l+1,h+1):0;return(1-p)*((1-c)*((1-a)*g+a*y)+c*((1-a)*v+a*x))+p*((1-c)*((1-a)*b+a*(s&&u&&m?t.get(i+1,l,h+1):0))+c*((1-a)*_+a*(s&&f&&m?t.get(i+1,l+1,h+1):0)))}function o(t){var e,r,n=0|t.shape.length,i=new Array(n),a=new Array(n),o=new Array(n),s=new Array(n);for(e=0;e<n;++e)r=+arguments[e+1],i[e]=Math.floor(r),a[e]=r-i[e],o[e]=0<=i[e]&&i[e]<t.shape[e],s[e]=0<=i[e]+1&&i[e]+1<t.shape[e];var l,c,u,f=0;t:for(e=0;e<1<<n;++e){for(c=1,u=t.offset,l=0;l<n;++l)if(e&1<<l){if(!s[l])continue t;c*=a[l],u+=t.stride[l]*(i[l]+1)}else{if(!o[l])continue t;c*=1-a[l],u+=t.stride[l]*i[l]}f+=c*t.data[u]}return f}e.exports=function(t,e,r,s){switch(t.shape.length){case 0:return 0;case 1:return n(t,e);case 2:return i(t,e,r);case 3:return a(t,e,r,s);default:return o.apply(void 0,arguments)}},e.exports.d1=n,e.exports.d2=i,e.exports.d3=a},{}],254:[function(t,e,r){"use strict";var n={"float64,2,1,0":function(){return function(t,e,r,n,i){var a=t[0],o=t[1],s=t[2],l=r[0],c=r[1],u=r[2];n|=0;var f=0,h=0,p=0,d=u,m=c-s*u,g=l-o*c;for(p=0;p<a;++p){for(h=0;h<o;++h){for(f=0;f<s;++f)e[n]/=i,n+=d;n+=m}n+=g}}},"uint8,2,0,1,float64,2,1,0":function(){return function(t,e,r,n,i,a,o,s){for(var l=t[0],c=t[1],u=t[2],f=r[0],h=r[1],p=r[2],d=a[0],m=a[1],g=a[2],v=n|=0,y=o|=0,x=0|t[0];x>0;){x<64?(l=x,x=0):(l=64,x-=64);for(var b=0|t[1];b>0;){b<64?(c=b,b=0):(c=64,b-=64),n=v+x*f+b*h,o=y+x*d+b*m;var _=0,w=0,T=0,k=p,A=f-u*p,M=h-l*f,S=g,E=d-u*g,L=m-l*d;for(T=0;T<c;++T){for(w=0;w<l;++w){for(_=0;_<u;++_)e[n]=i[o]*s,n+=k,o+=S;n+=A,o+=E}n+=M,o+=L}}}}},"float32,1,0,float32,1,0":function(){return function(t,e,r,n,i,a,o){var s=t[0],l=t[1],c=r[0],u=r[1],f=a[0],h=a[1];n|=0,o|=0;var p=0,d=0,m=u,g=c-l*u,v=h,y=f-l*h;for(d=0;d<s;++d){for(p=0;p<l;++p)e[n]=i[o],n+=m,o+=v;n+=g,o+=y}}},"float32,1,0,float32,0,1":function(){return function(t,e,r,n,i,a,o){for(var s=t[0],l=t[1],c=r[0],u=r[1],f=a[0],h=a[1],p=n|=0,d=o|=0,m=0|t[1];m>0;){m<64?(l=m,m=0):(l=64,m-=64);for(var g=0|t[0];g>0;){g<64?(s=g,g=0):(s=64,g-=64),n=p+m*u+g*c,o=d+m*h+g*f;var v=0,y=0,x=u,b=c-l*u,_=h,w=f-l*h;for(y=0;y<s;++y){for(v=0;v<l;++v)e[n]=i[o],n+=x,o+=_;n+=b,o+=w}}}}},"uint8,2,0,1,uint8,1,2,0":function(){return function(t,e,r,n,i,a,o){for(var s=t[0],l=t[1],c=t[2],u=r[0],f=r[1],h=r[2],p=a[0],d=a[1],m=a[2],g=n|=0,v=o|=0,y=0|t[2];y>0;){y<64?(c=y,y=0):(c=64,y-=64);for(var x=0|t[0];x>0;){x<64?(s=x,x=0):(s=64,x-=64);for(var b=0|t[1];b>0;){b<64?(l=b,b=0):(l=64,b-=64),n=g+y*h+x*u+b*f,o=v+y*m+x*p+b*d;var _=0,w=0,T=0,k=h,A=u-c*h,M=f-s*u,S=m,E=p-c*m,L=d-s*p;for(T=0;T<l;++T){for(w=0;w<s;++w){for(_=0;_<c;++_)e[n]=i[o],n+=k,o+=S;n+=A,o+=E}n+=M,o+=L}}}}}},"uint8,2,0,1,array,2,0,1":function(){return function(t,e,r,n,i,a,o){var s=t[0],l=t[1],c=t[2],u=r[0],f=r[1],h=r[2],p=a[0],d=a[1],m=a[2];n|=0,o|=0;var g=0,v=0,y=0,x=h,b=u-c*h,_=f-s*u,w=m,T=p-c*m,k=d-s*p;for(y=0;y<l;++y){for(v=0;v<s;++v){for(g=0;g<c;++g)e[n]=i[o],n+=x,o+=w;n+=b,o+=T}n+=_,o+=k}}}};var i=function(t,e){var r=e.join(",");return(0,n[r])()},a={mul:function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=n.dtype,l=n.order,c=i.dtype,u=i.order,f=[a,o.join(),s,l.join(),c,u.join()].join(),h=e[f];return h||(e[f]=h=t([a,o,s,l,c,u])),h(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset,i.data,i.stride,0|i.offset)}},muls:function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=n.dtype,l=n.order,c=[a,o.join(),s,l.join()].join(),u=e[c];return u||(e[c]=u=t([a,o,s,l])),u(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset,i)}},mulseq:function(t){var e={};return function(r,n){var i=r.dtype,a=r.order,o=[i,a.join()].join(),s=e[o];return s||(e[o]=s=t([i,a])),s(r.shape.slice(0),r.data,r.stride,0|r.offset,n)}},div:function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=n.dtype,l=n.order,c=i.dtype,u=i.order,f=[a,o.join(),s,l.join(),c,u.join()].join(),h=e[f];return h||(e[f]=h=t([a,o,s,l,c,u])),h(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset,i.data,i.stride,0|i.offset)}},divs:function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=n.dtype,l=n.order,c=[a,o.join(),s,l.join()].join(),u=e[c];return u||(e[c]=u=t([a,o,s,l])),u(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset,i)}},divseq:function(t){var e={};return function(r,n){var i=r.dtype,a=r.order,o=[i,a.join()].join(),s=e[o];return s||(e[o]=s=t([i,a])),s(r.shape.slice(0),r.data,r.stride,0|r.offset,n)}},assign:function(t){var e={};return function(r,n){var i=r.dtype,a=r.order,o=n.dtype,s=n.order,l=[i,a.join(),o,s.join()].join(),c=e[l];return c||(e[l]=c=t([i,a,o,s])),c(r.shape.slice(0),r.data,r.stride,0|r.offset,n.data,n.stride,0|n.offset)}}};function o(t){return e={funcName:t.funcName},(0,a[e.funcName])(i.bind(void 0,e));var e}var s={mul:"*",div:"/"};!function(){for(var t in s)r[t]=o({funcName:t}),r[t+"s"]=o({funcName:t+"s"}),r[t+"seq"]=o({funcName:t+"seq"})}(),r.assign=o({funcName:"assign"})},{}],255:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("./doConvert.js");e.exports=function(t,e){for(var r=[],a=t,o=1;Array.isArray(a);)r.push(a.length),o*=a.length,a=a[0];return 0===r.length?n():(e||(e=n(new Float64Array(o),r)),i(e,t),e)}},{"./doConvert.js":256,ndarray:259}],256:[function(t,e,r){"use strict";var n,i=function(){return function(t,e,r,n,i){var a=t[0],o=t[1],s=t[2],l=r[0],c=r[1],u=r[2],f=[0,0,0];n|=0;var h=0,p=0,d=0,m=u,g=c-s*u,v=l-o*c;for(d=0;d<a;++d){for(p=0;p<o;++p){for(h=0;h<s;++h){var y,x=i;for(y=0;y<f.length-1;++y)x=x[f[y]];e[n]=x[f[f.length-1]],n+=m,++f[2]}n+=g,f[2]-=s,++f[1]}n+=v,f[1]-=o,++f[0]}}};e.exports=(n={funcName:{funcName:"convert"}.funcName},function(t){var e={};return function(r,n){var i=r.dtype,a=r.order,o=[i,a.join()].join(),s=e[o];return s||(e[o]=s=t([i,a])),s(r.shape.slice(0),r.data,r.stride,0|r.offset,n)}}(i.bind(void 0,n)))},{}],257:[function(t,e,r){"use strict";var n=t("typedarray-pool");function i(t){switch(t){case"uint32":return[n.mallocUint32,n.freeUint32];default:return null}}var a={"uint32,1,0":function(t,e){return function(r,n,i,a,o,s,l,c,u,f,h){var p,d,m,g,v,y,x,b,_=r*o+a,w=t(c);for(p=r+1;p<=n;++p){for(d=p,m=_+=o,v=0,y=_,g=0;g<c;++g)w[v++]=i[y],y+=u;t:for(;d-- >r;){v=0,y=m-o;e:for(g=0;g<c;++g){if((x=i[y])<(b=w[v]))break t;if(x>b)break e;y+=f,v+=h}for(v=m,y=m-o,g=0;g<c;++g)i[v]=i[y],v+=u,y+=u;m-=o}for(v=m,y=0,g=0;g<c;++g)i[v]=w[y++],v+=u}e(w)}}};var o={"uint32,1,0":function(t,e,r){return function n(i,a,o,s,l,c,u,f,h,p,d){var m,g,v,y,x,b,_,w,T,k,A,M,S,E,L,C,P,I,O,z,D,R,F,B,N,j=(a-i+1)/6|0,U=i+j,V=a-j,H=i+a>>1,q=H-j,G=H+j,Y=U,W=q,X=H,Z=G,J=V,K=i+1,Q=a-1,$=!0,tt=0,et=0,rt=0,nt=f,it=e(nt),at=e(nt);A=l*Y,M=l*W,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=Y,Y=W,W=g;break t}if(rt<0)break t;N+=p}A=l*Z,M=l*J,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=Z,Z=J,J=g;break t}if(rt<0)break t;N+=p}A=l*Y,M=l*X,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=Y,Y=X,X=g;break t}if(rt<0)break t;N+=p}A=l*W,M=l*X,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=W,W=X,X=g;break t}if(rt<0)break t;N+=p}A=l*Y,M=l*Z,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=Y,Y=Z,Z=g;break t}if(rt<0)break t;N+=p}A=l*X,M=l*Z,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=X,X=Z,Z=g;break t}if(rt<0)break t;N+=p}A=l*W,M=l*J,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=W,W=J,J=g;break t}if(rt<0)break t;N+=p}A=l*W,M=l*X,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=W,W=X,X=g;break t}if(rt<0)break t;N+=p}A=l*Z,M=l*J,N=s;t:for(k=0;k<f;++k){if(w=M+N,(rt=o[_=A+N]-o[w])>0){g=Z,Z=J,J=g;break t}if(rt<0)break t;N+=p}for(A=l*Y,M=l*W,S=l*X,E=l*Z,L=l*J,C=l*U,P=l*H,I=l*V,B=0,N=s,k=0;k<f;++k)_=A+N,w=M+N,T=S+N,O=E+N,z=L+N,D=C+N,R=P+N,F=I+N,it[B]=o[w],at[B]=o[O],$=$&&it[B]===at[B],v=o[_],y=o[T],x=o[z],o[D]=v,o[R]=y,o[F]=x,++B,N+=h;for(A=l*q,M=l*i,N=s,k=0;k<f;++k)w=M+N,o[_=A+N]=o[w],N+=h;for(A=l*G,M=l*a,N=s,k=0;k<f;++k)w=M+N,o[_=A+N]=o[w],N+=h;if($)for(b=K;b<=Q;++b){_=s+b*l,B=0;t:for(k=0;k<f&&0===(rt=o[_]-it[B]);++k)B+=d,_+=p;if(0!==rt)if(rt<0){if(b!==K)for(A=l*b,M=l*K,N=s,k=0;k<f;++k)w=M+N,m=o[_=A+N],o[_]=o[w],o[w]=m,N+=h;++K}else for(;;){_=s+Q*l,B=0;t:for(k=0;k<f&&0===(rt=o[_]-it[B]);++k)B+=d,_+=p;if(!(rt>0)){if(rt<0){for(A=l*b,M=l*K,S=l*Q,N=s,k=0;k<f;++k)w=M+N,T=S+N,m=o[_=A+N],o[_]=o[w],o[w]=o[T],o[T]=m,N+=h;++K,--Q;break}for(A=l*b,M=l*Q,N=s,k=0;k<f;++k)w=M+N,m=o[_=A+N],o[_]=o[w],o[w]=m,N+=h;--Q;break}Q--}}else for(b=K;b<=Q;++b){_=s+b*l,B=0;t:for(k=0;k<f&&0===(tt=o[_]-it[B]);++k)B+=d,_+=p;if(tt<0){if(b!==K)for(A=l*b,M=l*K,N=s,k=0;k<f;++k)w=M+N,m=o[_=A+N],o[_]=o[w],o[w]=m,N+=h;++K}else{_=s+b*l,B=0;t:for(k=0;k<f&&0===(et=o[_]-at[B]);++k)B+=d,_+=p;if(et>0)for(;;){_=s+Q*l,B=0;t:for(k=0;k<f&&0===(rt=o[_]-at[B]);++k)B+=d,_+=p;if(!(rt>0)){_=s+Q*l,B=0;t:for(k=0;k<f&&0===(rt=o[_]-it[B]);++k)B+=d,_+=p;if(rt<0){for(A=l*b,M=l*K,S=l*Q,N=s,k=0;k<f;++k)w=M+N,T=S+N,m=o[_=A+N],o[_]=o[w],o[w]=o[T],o[T]=m,N+=h;++K,--Q}else{for(A=l*b,M=l*Q,N=s,k=0;k<f;++k)w=M+N,m=o[_=A+N],o[_]=o[w],o[w]=m,N+=h;--Q}break}if(--Q<b)break}}}for(A=l*i,M=l*(K-1),B=0,N=s,k=0;k<f;++k)w=M+N,o[_=A+N]=o[w],o[w]=it[B],++B,N+=h;for(A=l*a,M=l*(Q+1),B=0,N=s,k=0;k<f;++k)w=M+N,o[_=A+N]=o[w],o[w]=at[B],++B,N+=h;if(K-2-i<=32?t(i,K-2,o,s,l,c,u,f,h,p,d):n(i,K-2,o,s,l,c,u,f,h,p,d),a-(Q+2)<=32?t(Q+2,a,o,s,l,c,u,f,h,p,d):n(Q+2,a,o,s,l,c,u,f,h,p,d),$)return r(it),void r(at);if(K<U&&Q>V){t:for(;;){for(_=s+K*l,B=0,N=s,k=0;k<f;++k){if(o[_]!==it[B])break t;++B,_+=h}++K}t:for(;;){for(_=s+Q*l,B=0,N=s,k=0;k<f;++k){if(o[_]!==at[B])break t;++B,_+=h}--Q}for(b=K;b<=Q;++b){_=s+b*l,B=0;t:for(k=0;k<f&&0===(tt=o[_]-it[B]);++k)B+=d,_+=p;if(0===tt){if(b!==K)for(A=l*b,M=l*K,N=s,k=0;k<f;++k)w=M+N,m=o[_=A+N],o[_]=o[w],o[w]=m,N+=h;++K}else{_=s+b*l,B=0;t:for(k=0;k<f&&0===(et=o[_]-at[B]);++k)B+=d,_+=p;if(0===et)for(;;){_=s+Q*l,B=0;t:for(k=0;k<f&&0===(rt=o[_]-at[B]);++k)B+=d,_+=p;if(0!==rt){_=s+Q*l,B=0;t:for(k=0;k<f&&0===(rt=o[_]-it[B]);++k)B+=d,_+=p;if(rt<0){for(A=l*b,M=l*K,S=l*Q,N=s,k=0;k<f;++k)w=M+N,T=S+N,m=o[_=A+N],o[_]=o[w],o[w]=o[T],o[T]=m,N+=h;++K,--Q}else{for(A=l*b,M=l*Q,N=s,k=0;k<f;++k)w=M+N,m=o[_=A+N],o[_]=o[w],o[w]=m,N+=h;--Q}break}if(--Q<b)break}}}}r(it),r(at),Q-K<=32?t(K,Q,o,s,l,c,u,f,h,p,d):n(K,Q,o,s,l,c,u,f,h,p,d)}}};var s={"uint32,1,0":function(t,e){return function(r){var n=r.data,i=0|r.offset,a=r.shape,o=r.stride,s=0|o[0],l=0|a[0],c=0|o[1],u=0|a[1],f=c,h=c;l<=32?t(0,l-1,n,i,s,c,l,u,f,h,1):e(0,l-1,n,i,s,c,l,u,f,h,1)}}};e.exports=function(t,e){var r=[e,t].join(","),n=s[r],l=function(t,e){var r=i(e),n=[e,t].join(","),o=a[n];return r?o(r[0],r[1]):o()}(t,e),c=function(t,e,r){var n=i(e),a=[e,t].join(","),s=o[a];return t.length>1&&n?s(r,n[0],n[1]):s(r)}(t,e,l);return n(l,c)}},{"typedarray-pool":308}],258:[function(t,e,r){"use strict";var n=t("./lib/compile_sort.js"),i={};e.exports=function(t){var e=t.order,r=t.dtype,a=[e,r].join(":"),o=i[a];return o||(i[a]=o=n(e,r)),o(t),t}},{"./lib/compile_sort.js":257}],259:[function(t,e,r){var n=t("is-buffer"),i="undefined"!=typeof Float64Array;function a(t,e){return t[0]-e[0]}function o(){var t,e=this.stride,r=new Array(e.length);for(t=0;t<r.length;++t)r[t]=[Math.abs(e[t]),t];r.sort(a);var n=new Array(r.length);for(t=0;t<n.length;++t)n[t]=r[t][1];return n}var s={T:function(t){function e(t){this.data=t}var r=e.prototype;return r.dtype=t,r.index=function(){return-1},r.size=0,r.dimension=-1,r.shape=r.stride=r.order=[],r.lo=r.hi=r.transpose=r.step=function(){return new e(this.data)},r.get=r.set=function(){},r.pick=function(){return null},function(t){return new e(t)}},0:function(t,e){function r(t,e){this.data=t,this.offset=e}var n=r.prototype;return n.dtype=t,n.index=function(){return this.offset},n.dimension=0,n.size=1,n.shape=n.stride=n.order=[],n.lo=n.hi=n.transpose=n.step=function(){return new r(this.data,this.offset)},n.pick=function(){return e(this.data)},n.valueOf=n.get=function(){return"generic"===t?this.data.get(this.offset):this.data[this.offset]},n.set=function(e){return"generic"===t?this.data.set(this.offset,e):this.data[this.offset]=e},function(t,e,n,i){return new r(t,i)}},1:function(t,e,r){function n(t,e,r,n){this.data=t,this.shape=[e],this.stride=[r],this.offset=0|n}var i=n.prototype;return i.dtype=t,i.dimension=1,Object.defineProperty(i,"size",{get:function(){return this.shape[0]}}),i.order=[0],i.set=function(e,r){return"generic"===t?this.data.set(this.offset+this.stride[0]*e,r):this.data[this.offset+this.stride[0]*e]=r},i.get=function(e){return"generic"===t?this.data.get(this.offset+this.stride[0]*e):this.data[this.offset+this.stride[0]*e]},i.index=function(t){return this.offset+this.stride[0]*t},i.hi=function(t){return new n(this.data,"number"!=typeof t||t<0?this.shape[0]:0|t,this.stride[0],this.offset)},i.lo=function(t){var e=this.offset,r=0,i=this.shape[0],a=this.stride[0];return"number"==typeof t&&t>=0&&(e+=a*(r=0|t),i-=r),new n(this.data,i,a,e)},i.step=function(t){var e=this.shape[0],r=this.stride[0],i=this.offset,a=0,o=Math.ceil;return"number"==typeof t&&((a=0|t)<0?(i+=r*(e-1),e=o(-e/a)):e=o(e/a),r*=a),new n(this.data,e,r,i)},i.transpose=function(t){t=void 0===t?0:0|t;var e=this.shape,r=this.stride;return new n(this.data,e[t],r[t],this.offset)},i.pick=function(t){var r=[],n=[],i=this.offset;return"number"==typeof t&&t>=0?i=i+this.stride[0]*t|0:(r.push(this.shape[0]),n.push(this.stride[0])),(0,e[r.length+1])(this.data,r,n,i)},function(t,e,r,i){return new n(t,e[0],r[0],i)}},2:function(t,e,r){function n(t,e,r,n,i,a){this.data=t,this.shape=[e,r],this.stride=[n,i],this.offset=0|a}var i=n.prototype;return i.dtype=t,i.dimension=2,Object.defineProperty(i,"size",{get:function(){return this.shape[0]*this.shape[1]}}),Object.defineProperty(i,"order",{get:function(){return Math.abs(this.stride[0])>Math.abs(this.stride[1])?[1,0]:[0,1]}}),i.set=function(e,r,n){return"generic"===t?this.data.set(this.offset+this.stride[0]*e+this.stride[1]*r,n):this.data[this.offset+this.stride[0]*e+this.stride[1]*r]=n},i.get=function(e,r){return"generic"===t?this.data.get(this.offset+this.stride[0]*e+this.stride[1]*r):this.data[this.offset+this.stride[0]*e+this.stride[1]*r]},i.index=function(t,e){return this.offset+this.stride[0]*t+this.stride[1]*e},i.hi=function(t,e){return new n(this.data,"number"!=typeof t||t<0?this.shape[0]:0|t,"number"!=typeof e||e<0?this.shape[1]:0|e,this.stride[0],this.stride[1],this.offset)},i.lo=function(t,e){var r=this.offset,i=0,a=this.shape[0],o=this.shape[1],s=this.stride[0],l=this.stride[1];return"number"==typeof t&&t>=0&&(r+=s*(i=0|t),a-=i),"number"==typeof e&&e>=0&&(r+=l*(i=0|e),o-=i),new n(this.data,a,o,s,l,r)},i.step=function(t,e){var r=this.shape[0],i=this.shape[1],a=this.stride[0],o=this.stride[1],s=this.offset,l=0,c=Math.ceil;return"number"==typeof t&&((l=0|t)<0?(s+=a*(r-1),r=c(-r/l)):r=c(r/l),a*=l),"number"==typeof e&&((l=0|e)<0?(s+=o*(i-1),i=c(-i/l)):i=c(i/l),o*=l),new n(this.data,r,i,a,o,s)},i.transpose=function(t,e){t=void 0===t?0:0|t,e=void 0===e?1:0|e;var r=this.shape,i=this.stride;return new n(this.data,r[t],r[e],i[t],i[e],this.offset)},i.pick=function(t,r){var n=[],i=[],a=this.offset;return"number"==typeof t&&t>=0?a=a+this.stride[0]*t|0:(n.push(this.shape[0]),i.push(this.stride[0])),"number"==typeof r&&r>=0?a=a+this.stride[1]*r|0:(n.push(this.shape[1]),i.push(this.stride[1])),(0,e[n.length+1])(this.data,n,i,a)},function(t,e,r,i){return new n(t,e[0],e[1],r[0],r[1],i)}},3:function(t,e,r){function n(t,e,r,n,i,a,o,s){this.data=t,this.shape=[e,r,n],this.stride=[i,a,o],this.offset=0|s}var i=n.prototype;return i.dtype=t,i.dimension=3,Object.defineProperty(i,"size",{get:function(){return this.shape[0]*this.shape[1]*this.shape[2]}}),Object.defineProperty(i,"order",{get:function(){var t=Math.abs(this.stride[0]),e=Math.abs(this.stride[1]),r=Math.abs(this.stride[2]);return t>e?e>r?[2,1,0]:t>r?[1,2,0]:[1,0,2]:t>r?[2,0,1]:r>e?[0,1,2]:[0,2,1]}}),i.set=function(e,r,n,i){return"generic"===t?this.data.set(this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n,i):this.data[this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n]=i},i.get=function(e,r,n){return"generic"===t?this.data.get(this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n):this.data[this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n]},i.index=function(t,e,r){return this.offset+this.stride[0]*t+this.stride[1]*e+this.stride[2]*r},i.hi=function(t,e,r){return new n(this.data,"number"!=typeof t||t<0?this.shape[0]:0|t,"number"!=typeof e||e<0?this.shape[1]:0|e,"number"!=typeof r||r<0?this.shape[2]:0|r,this.stride[0],this.stride[1],this.stride[2],this.offset)},i.lo=function(t,e,r){var i=this.offset,a=0,o=this.shape[0],s=this.shape[1],l=this.shape[2],c=this.stride[0],u=this.stride[1],f=this.stride[2];return"number"==typeof t&&t>=0&&(i+=c*(a=0|t),o-=a),"number"==typeof e&&e>=0&&(i+=u*(a=0|e),s-=a),"number"==typeof r&&r>=0&&(i+=f*(a=0|r),l-=a),new n(this.data,o,s,l,c,u,f,i)},i.step=function(t,e,r){var i=this.shape[0],a=this.shape[1],o=this.shape[2],s=this.stride[0],l=this.stride[1],c=this.stride[2],u=this.offset,f=0,h=Math.ceil;return"number"==typeof t&&((f=0|t)<0?(u+=s*(i-1),i=h(-i/f)):i=h(i/f),s*=f),"number"==typeof e&&((f=0|e)<0?(u+=l*(a-1),a=h(-a/f)):a=h(a/f),l*=f),"number"==typeof r&&((f=0|r)<0?(u+=c*(o-1),o=h(-o/f)):o=h(o/f),c*=f),new n(this.data,i,a,o,s,l,c,u)},i.transpose=function(t,e,r){t=void 0===t?0:0|t,e=void 0===e?1:0|e,r=void 0===r?2:0|r;var i=this.shape,a=this.stride;return new n(this.data,i[t],i[e],i[r],a[t],a[e],a[r],this.offset)},i.pick=function(t,r,n){var i=[],a=[],o=this.offset;return"number"==typeof t&&t>=0?o=o+this.stride[0]*t|0:(i.push(this.shape[0]),a.push(this.stride[0])),"number"==typeof r&&r>=0?o=o+this.stride[1]*r|0:(i.push(this.shape[1]),a.push(this.stride[1])),"number"==typeof n&&n>=0?o=o+this.stride[2]*n|0:(i.push(this.shape[2]),a.push(this.stride[2])),(0,e[i.length+1])(this.data,i,a,o)},function(t,e,r,i){return new n(t,e[0],e[1],e[2],r[0],r[1],r[2],i)}},4:function(t,e,r){function n(t,e,r,n,i,a,o,s,l,c){this.data=t,this.shape=[e,r,n,i],this.stride=[a,o,s,l],this.offset=0|c}var i=n.prototype;return i.dtype=t,i.dimension=4,Object.defineProperty(i,"size",{get:function(){return this.shape[0]*this.shape[1]*this.shape[2]*this.shape[3]}}),Object.defineProperty(i,"order",{get:r}),i.set=function(e,r,n,i,a){return"generic"===t?this.data.set(this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i,a):this.data[this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i]=a},i.get=function(e,r,n,i){return"generic"===t?this.data.get(this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i):this.data[this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i]},i.index=function(t,e,r,n){return this.offset+this.stride[0]*t+this.stride[1]*e+this.stride[2]*r+this.stride[3]*n},i.hi=function(t,e,r,i){return new n(this.data,"number"!=typeof t||t<0?this.shape[0]:0|t,"number"!=typeof e||e<0?this.shape[1]:0|e,"number"!=typeof r||r<0?this.shape[2]:0|r,"number"!=typeof i||i<0?this.shape[3]:0|i,this.stride[0],this.stride[1],this.stride[2],this.stride[3],this.offset)},i.lo=function(t,e,r,i){var a=this.offset,o=0,s=this.shape[0],l=this.shape[1],c=this.shape[2],u=this.shape[3],f=this.stride[0],h=this.stride[1],p=this.stride[2],d=this.stride[3];return"number"==typeof t&&t>=0&&(a+=f*(o=0|t),s-=o),"number"==typeof e&&e>=0&&(a+=h*(o=0|e),l-=o),"number"==typeof r&&r>=0&&(a+=p*(o=0|r),c-=o),"number"==typeof i&&i>=0&&(a+=d*(o=0|i),u-=o),new n(this.data,s,l,c,u,f,h,p,d,a)},i.step=function(t,e,r,i){var a=this.shape[0],o=this.shape[1],s=this.shape[2],l=this.shape[3],c=this.stride[0],u=this.stride[1],f=this.stride[2],h=this.stride[3],p=this.offset,d=0,m=Math.ceil;return"number"==typeof t&&((d=0|t)<0?(p+=c*(a-1),a=m(-a/d)):a=m(a/d),c*=d),"number"==typeof e&&((d=0|e)<0?(p+=u*(o-1),o=m(-o/d)):o=m(o/d),u*=d),"number"==typeof r&&((d=0|r)<0?(p+=f*(s-1),s=m(-s/d)):s=m(s/d),f*=d),"number"==typeof i&&((d=0|i)<0?(p+=h*(l-1),l=m(-l/d)):l=m(l/d),h*=d),new n(this.data,a,o,s,l,c,u,f,h,p)},i.transpose=function(t,e,r,i){t=void 0===t?0:0|t,e=void 0===e?1:0|e,r=void 0===r?2:0|r,i=void 0===i?3:0|i;var a=this.shape,o=this.stride;return new n(this.data,a[t],a[e],a[r],a[i],o[t],o[e],o[r],o[i],this.offset)},i.pick=function(t,r,n,i){var a=[],o=[],s=this.offset;return"number"==typeof t&&t>=0?s=s+this.stride[0]*t|0:(a.push(this.shape[0]),o.push(this.stride[0])),"number"==typeof r&&r>=0?s=s+this.stride[1]*r|0:(a.push(this.shape[1]),o.push(this.stride[1])),"number"==typeof n&&n>=0?s=s+this.stride[2]*n|0:(a.push(this.shape[2]),o.push(this.stride[2])),"number"==typeof i&&i>=0?s=s+this.stride[3]*i|0:(a.push(this.shape[3]),o.push(this.stride[3])),(0,e[a.length+1])(this.data,a,o,s)},function(t,e,r,i){return new n(t,e[0],e[1],e[2],e[3],r[0],r[1],r[2],r[3],i)}},5:function(t,e,r){function n(t,e,r,n,i,a,o,s,l,c,u,f){this.data=t,this.shape=[e,r,n,i,a],this.stride=[o,s,l,c,u],this.offset=0|f}var i=n.prototype;return i.dtype=t,i.dimension=5,Object.defineProperty(i,"size",{get:function(){return this.shape[0]*this.shape[1]*this.shape[2]*this.shape[3]*this.shape[4]}}),Object.defineProperty(i,"order",{get:r}),i.set=function(e,r,n,i,a,o){return"generic"===t?this.data.set(this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i+this.stride[4]*a,o):this.data[this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i+this.stride[4]*a]=o},i.get=function(e,r,n,i,a){return"generic"===t?this.data.get(this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i+this.stride[4]*a):this.data[this.offset+this.stride[0]*e+this.stride[1]*r+this.stride[2]*n+this.stride[3]*i+this.stride[4]*a]},i.index=function(t,e,r,n,i){return this.offset+this.stride[0]*t+this.stride[1]*e+this.stride[2]*r+this.stride[3]*n+this.stride[4]*i},i.hi=function(t,e,r,i,a){return new n(this.data,"number"!=typeof t||t<0?this.shape[0]:0|t,"number"!=typeof e||e<0?this.shape[1]:0|e,"number"!=typeof r||r<0?this.shape[2]:0|r,"number"!=typeof i||i<0?this.shape[3]:0|i,"number"!=typeof a||a<0?this.shape[4]:0|a,this.stride[0],this.stride[1],this.stride[2],this.stride[3],this.stride[4],this.offset)},i.lo=function(t,e,r,i,a){var o=this.offset,s=0,l=this.shape[0],c=this.shape[1],u=this.shape[2],f=this.shape[3],h=this.shape[4],p=this.stride[0],d=this.stride[1],m=this.stride[2],g=this.stride[3],v=this.stride[4];return"number"==typeof t&&t>=0&&(o+=p*(s=0|t),l-=s),"number"==typeof e&&e>=0&&(o+=d*(s=0|e),c-=s),"number"==typeof r&&r>=0&&(o+=m*(s=0|r),u-=s),"number"==typeof i&&i>=0&&(o+=g*(s=0|i),f-=s),"number"==typeof a&&a>=0&&(o+=v*(s=0|a),h-=s),new n(this.data,l,c,u,f,h,p,d,m,g,v,o)},i.step=function(t,e,r,i,a){var o=this.shape[0],s=this.shape[1],l=this.shape[2],c=this.shape[3],u=this.shape[4],f=this.stride[0],h=this.stride[1],p=this.stride[2],d=this.stride[3],m=this.stride[4],g=this.offset,v=0,y=Math.ceil;return"number"==typeof t&&((v=0|t)<0?(g+=f*(o-1),o=y(-o/v)):o=y(o/v),f*=v),"number"==typeof e&&((v=0|e)<0?(g+=h*(s-1),s=y(-s/v)):s=y(s/v),h*=v),"number"==typeof r&&((v=0|r)<0?(g+=p*(l-1),l=y(-l/v)):l=y(l/v),p*=v),"number"==typeof i&&((v=0|i)<0?(g+=d*(c-1),c=y(-c/v)):c=y(c/v),d*=v),"number"==typeof a&&((v=0|a)<0?(g+=m*(u-1),u=y(-u/v)):u=y(u/v),m*=v),new n(this.data,o,s,l,c,u,f,h,p,d,m,g)},i.transpose=function(t,e,r,i,a){t=void 0===t?0:0|t,e=void 0===e?1:0|e,r=void 0===r?2:0|r,i=void 0===i?3:0|i,a=void 0===a?4:0|a;var o=this.shape,s=this.stride;return new n(this.data,o[t],o[e],o[r],o[i],o[a],s[t],s[e],s[r],s[i],s[a],this.offset)},i.pick=function(t,r,n,i,a){var o=[],s=[],l=this.offset;return"number"==typeof t&&t>=0?l=l+this.stride[0]*t|0:(o.push(this.shape[0]),s.push(this.stride[0])),"number"==typeof r&&r>=0?l=l+this.stride[1]*r|0:(o.push(this.shape[1]),s.push(this.stride[1])),"number"==typeof n&&n>=0?l=l+this.stride[2]*n|0:(o.push(this.shape[2]),s.push(this.stride[2])),"number"==typeof i&&i>=0?l=l+this.stride[3]*i|0:(o.push(this.shape[3]),s.push(this.stride[3])),"number"==typeof a&&a>=0?l=l+this.stride[4]*a|0:(o.push(this.shape[4]),s.push(this.stride[4])),(0,e[o.length+1])(this.data,o,s,l)},function(t,e,r,i){return new n(t,e[0],e[1],e[2],e[3],e[4],r[0],r[1],r[2],r[3],r[4],i)}}};function l(t,e){var r=-1===e?"T":String(e),n=s[r];return-1===e?n(t):0===e?n(t,c[t][0]):n(t,c[t],o)}var c={generic:[],buffer:[],array:[],float32:[],float64:[],int8:[],int16:[],int32:[],uint8_clamped:[],uint8:[],uint16:[],uint32:[],bigint64:[],biguint64:[]};e.exports=function(t,e,r,a){if(void 0===t)return(0,c.array[0])([]);"number"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===a){a=0;for(s=0;s<o;++s)r[s]<0&&(a-=(e[s]-1)*r[s])}for(var f=function(t){if(n(t))return"buffer";if(i)switch(Object.prototype.toString.call(t)){case"[object Float64Array]":return"float64";case"[object Float32Array]":return"float32";case"[object Int8Array]":return"int8";case"[object Int16Array]":return"int16";case"[object Int32Array]":return"int32";case"[object Uint8ClampedArray]":return"uint8_clamped";case"[object Uint8Array]":return"uint8";case"[object Uint16Array]":return"uint16";case"[object Uint32Array]":return"uint32";case"[object BigInt64Array]":return"bigint64";case"[object BigUint64Array]":return"biguint64"}return Array.isArray(t)?"array":"generic"}(t),h=c[f];h.length<=o+1;)h.push(l(f,h.length-1));return(0,h[o+1])(t,e,r,a)}},{"is-buffer":237}],260:[function(t,e,r){"use strict";var n=t("double-bits"),i=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-i:i;var r=n.hi(t),a=n.lo(t);e>t==t>0?a===-1>>>0?(r+=1,a=0):a+=1:0===a?(a=-1>>>0,r-=1):a-=1;return n.pack(a,r)}},{"double-bits":64}],261:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o)i[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],f=0;f<s.length;++f){l=c,c=u,u=s[(f+1)%s.length];for(var h=e[l],p=e[c],d=e[u],m=new Array(3),g=0,v=new Array(3),y=0,x=0;x<3;++x)m[x]=h[x]-p[x],g+=m[x]*m[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(g*y>a){var b=i[c],_=1/Math.sqrt(g*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*m[T]-v[T]*m[w])}}}for(o=0;o<n;++o){b=i[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>a)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return i},r.faceNormals=function(t,e,r){for(var n=t.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),f=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],f[c]=l[2][c]-l[0][c];var h=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,m=(c+2)%3;h[c]=u[d]*f[m]-u[m]*f[d],p+=h[c]*h[c]}p=p>a?1/Math.sqrt(p):0;for(c=0;c<3;++c)h[c]*=p;i[o]=h}return i}},{}],262:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(f>0){var f=Math.sqrt(u+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,c);f=Math.sqrt(2*h-u+1);e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},{}],263:[function(t,e,r){"use strict";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),u(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up);return i};var n=t("filtered-vector"),i=t("gl-mat4/lookAt"),a=t("gl-mat4/fromQuat"),o=t("gl-mat4/invert"),s=t("./lib/quatFromFrame");function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function c(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=c(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var m=i[2],g=i[6],v=i[10],y=m*a+g*o+v*s,x=m*u+g*f+v*h,b=l(m-=y*a+x*u,g-=y*o+x*f,v-=y*s+x*h);m/=b,g/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":262,"filtered-vector":68,"gl-mat4/fromQuat":95,"gl-mat4/invert":98,"gl-mat4/lookAt":99}],264:[function(t,e,r){
+e.exports=function(t){return null!=t&&(n(t)||function(t){return"function"==typeof t.readFloatLE&&"function"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],440:[function(t,e,r){"use strict";e.exports="undefined"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\//.test(navigator.appVersion))},{}],441:[function(t,e,r){"use strict";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||"undefined"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&"string"==typeof e.headers["user-agent"]&&(e=e.headers["user-agent"]),"string"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf("Macintosh")&&-1!==e.indexOf("Safari")&&(r=!0),r}},{}],442:[function(t,e,r){"use strict";e.exports=function(t){var e=typeof t;return null!==t&&("object"===e||"function"===e)}},{}],443:[function(t,e,r){"use strict";var n=Object.prototype.toString;e.exports=function(t){var e;return"[object Object]"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],444:[function(t,e,r){"use strict";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],445:[function(t,e,r){"use strict";e.exports=function(t){return"string"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\dz]$/i.test(t)&&t.length>4))}},{}],446:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],447:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){"use strict";var t,e,r;function n(n,i){if(t)if(e){var a="var sharedChunk = {}; ("+t+")(sharedChunk); ("+e+")(sharedChunk);",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:"text/javascript"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return a.solve(t)}}a.prototype={clone:function(){return new a(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=e.x+r*(this.x-e.x)-n*(this.y-e.y),this.y=i,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},a.convert=function(t){return t instanceof a?t:Array.isArray(t)?new a(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,i=((t-e)%n+n)%n+e;return i===e?r:i}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}var h=1;function f(){return h++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function g(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function m(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var i in t)n[i]=e.call(r||this,t[i],i,t);return n}function y(t,e,r){var n={};for(var i in t)e.call(r||this,t[i],i,t)&&(n[i]=t[i]);return n}function x(t){return Array.isArray(t)?t.map(x):"object"==typeof t&&t?v(t,x):t}var b={};function _(t){b[t]||("undefined"!=typeof console&&console.warn(t),b[t]=!0)}function w(t,e,r){return(r.y-t.y)*(e.x-t.x)>(e.y-t.y)*(r.x-t.x)}function T(t){for(var e=0,r=0,n=t.length,i=n-1,a=void 0,o=void 0;r<n;i=r++)e+=((o=t[i]).x-(a=t[r]).x)*(a.y+o.y);return e}function k(){return"undefined"!=typeof WorkerGlobalScope&&"undefined"!=typeof self&&self instanceof WorkerGlobalScope}function M(t){var e={};if(t.replace(/(?:^|(?:\s*\,\s*))([^\x00-\x20\(\)<>@\,;\:\\"\/\[\]\?\=\{\}\x7F]+)(?:\=(?:([^\x00-\x20\(\)<>@\,;\:\\"\/\[\]\?\=\{\}\x7F]+)|(?:\"((?:[^"\\]|\\.)*)\")))?/g,(function(t,r,n,i){var a=n||i;return e[r]=!a||a.toLowerCase(),""})),e["max-age"]){var r=parseInt(e["max-age"],10);isNaN(r)?delete e["max-age"]:e["max-age"]=r}return e}var A=null;function S(t){if(null==A){var e=t.navigator?t.navigator.userAgent:null;A=!!t.safari||!(!e||!(/\b(iPad|iPhone|iPod)\b/.test(e)||e.match("Safari")&&!e.match("Chrome")))}return A}function E(t){try{var e=self[t];return e.setItem("_mapbox_test_",1),e.removeItem("_mapbox_test_"),!0}catch(t){return!1}}var C,L,P,I,z=self.performance&&self.performance.now?self.performance.now.bind(self.performance):Date.now.bind(Date),O=self.requestAnimationFrame||self.mozRequestAnimationFrame||self.webkitRequestAnimationFrame||self.msRequestAnimationFrame,D=self.cancelAnimationFrame||self.mozCancelAnimationFrame||self.webkitCancelAnimationFrame||self.msCancelAnimationFrame,R={now:z,frame:function(t){var e=O(t);return{cancel:function(){return D(e)}}},getImageData:function(t,e){void 0===e&&(e=0);var r=self.document.createElement("canvas"),n=r.getContext("2d");if(!n)throw new Error("failed to create canvas 2d context");return r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement("a")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==L&&(L=self.matchMedia("(prefers-reduced-motion: reduce)")),L.matches)}},F={API_URL:"https://api.mapbox.com",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf("https://api.mapbox.cn")?"https://events.mapbox.cn/events/v2":0===this.API_URL.indexOf("https://api.mapbox.com")?"https://events.mapbox.com/events/v2":null:null},FEEDBACK_URL:"https://apps.mapbox.com/feedback",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},B={supported:!1,testSupport:function(t){!N&&I&&(j?U(t):P=t)}},N=!1,j=!1;function U(t){var e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,I),t.isContextLost())return;B.supported=!0}catch(t){}t.deleteTexture(e),N=!0}self.document&&((I=self.document.createElement("img")).onload=function(){P&&U(P),P=null,j=!0},I.onerror=function(){N=!0,P=null},I.src="data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=");var V="01",q=function(t,e){this._transformRequestFn=t,this._customAccessToken=e,this._createSkuToken()};function H(t){return 0===t.indexOf("mapbox:")}q.prototype._createSkuToken=function(){var t=function(){for(var t="",e=0;e<10;e++)t+="0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"[Math.floor(62*Math.random())];return{token:["1",V,t].join(""),tokenExpiresAt:Date.now()+432e5}}();this._skuToken=t.token,this._skuTokenExpiresAt=t.tokenExpiresAt},q.prototype._isSkuTokenExpired=function(){return Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!H(t))return t;var r=Z(t);return r.path="/styles/v1"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!H(t))return t;var r=Z(t);return r.path="/fonts/v1"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!H(t))return t;var r=Z(t);return r.path="/v4/"+r.authority+".json",r.params.push("secure"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=Z(t);return H(t)?(i.path="/styles/v1"+i.path+"/sprite"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=""+e+r,X(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!H(t))return t;var r=Z(t);r.path=r.path.replace(/(\.(png|jpg)\d*)(?=$)/,(R.devicePixelRatio>=2||512===e?"@2x":"")+(B.supported?".webp":"$1")),r.path=r.path.replace(/^.+\/v4\//,"/"),r.path="/v4"+r.path;var n=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||F.ACCESS_TOKEN;return F.REQUIRE_ACCESS_TOKEN&&n&&this._skuToken&&r.params.push("sku="+this._skuToken),this._makeAPIURL(r,n)},q.prototype.canonicalizeTileURL=function(t,e){var r=Z(t);if(!r.path.match(/(^\/v4\/)/)||!r.path.match(/\.[\w]+$/))return t;var n="mapbox://tiles/";n+=r.path.replace("/v4/","");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+="?"+i.join("&")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&H(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r="See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes",n=Z(F.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,"/"!==n.path&&(t.path=""+n.path+t.path),!F.REQUIRE_ACCESS_TOKEN)return X(t);if(!(e=e||F.ACCESS_TOKEN))throw new Error("An API access token is required to use Mapbox GL. "+r);if("s"===e[0])throw new Error("Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). "+r);return t.params=t.params.filter((function(t){return-1===t.indexOf("access_token")})),t.params.push("access_token="+e),X(t)};var G=/^((https?:)?\/\/)?([^\/]+\.)?mapbox\.c(n|om)(\/|\?|$)/i;function Y(t){return G.test(t)}var W=/^(\w+):\/\/([^/?]*)(\/[^?]+)?\??(.+)?/;function Z(t){var e=t.match(W);if(!e)throw new Error("Unable to parse URL object");return{protocol:e[1],authority:e[2],path:e[3]||"/",params:e[4]?e[4].split("&"):[]}}function X(t){var e=t.params.length?"?"+t.params.join("&"):"";return t.protocol+"://"+t.authority+t.path+e}function J(t){if(!t)return null;var e=t.split(".");if(!e||3!==e.length)return null;try{return JSON.parse(decodeURIComponent(self.atob(e[1]).split("").map((function(t){return"%"+("00"+t.charCodeAt(0).toString(16)).slice(-2)})).join("")))}catch(t){return null}}var K=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};K.prototype.getStorageKey=function(t){var e,r=J(F.ACCESS_TOKEN);return e=r&&r.u?self.btoa(encodeURIComponent(r.u).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number("0x"+e))}))):F.ACCESS_TOKEN||"",t?"mapbox.eventData."+t+":"+e:"mapbox.eventData:"+e},K.prototype.fetchEventData=function(){var t=E("localStorage"),e=this.getStorageKey(),r=this.getStorageKey("uuid");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var i=self.localStorage.getItem(r);i&&(this.anonId=i)}catch(t){_("Unable to read from LocalStorage")}},K.prototype.saveEventData=function(){var t=E("localStorage"),e=this.getStorageKey(),r=this.getStorageKey("uuid");if(t)try{self.localStorage.setItem(r,this.anonId),Object.keys(this.eventData).length>=1&&self.localStorage.setItem(e,JSON.stringify(this.eventData))}catch(t){_("Unable to write to LocalStorage")}},K.prototype.processRequests=function(t){},K.prototype.postEvent=function(t,e,r,n){var i=this;if(F.EVENTS_URL){var a=Z(F.EVENTS_URL);a.params.push("access_token="+(n||F.ACCESS_TOKEN||""));var o={event:this.type,created:new Date(t).toISOString(),sdkIdentifier:"mapbox-gl-js",sdkVersion:"1.10.1",skuId:V,userId:this.anonId},s=e?u(o,e):o,l={url:X(a),headers:{"Content-Type":"text/plain"},body:JSON.stringify([s])};this.pendingRequest=xt(l,(function(t){i.pendingRequest=null,r(t),i.saveEventData(),i.processRequests(n)}))}},K.prototype.queueRequest=function(t,e){this.queue.push(t),this.processRequests(e)};var Q,$,tt=function(t){function e(){t.call(this,"map.load"),this.success={},this.skuToken=""}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.postMapLoadEvent=function(t,e,r,n){this.skuToken=r,(F.EVENTS_URL&&n||F.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return H(t)||Y(t)})))&&this.queueRequest({id:e,timestamp:Date.now()},n)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){var r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),d(this.anonId)||(this.anonId=p()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(K),et=new(function(t){function e(e){t.call(this,"appUserTurnstile"),this._customAccessToken=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.postTurnstileEvent=function(t,e){F.EVENTS_URL&&F.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return H(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=J(F.ACCESS_TOKEN),n=r?r.u:F.ACCESS_TOKEN,i=n!==this.eventData.tokenU;d(this.anonId)||(this.anonId=p(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new Date(a),l=(a-this.eventData.lastSuccess)/864e5;i=i||l>=1||l<-1||o.getDate()!==s.getDate()}else i=!0;if(!i)return this.processRequests();this.postEvent(a,{"enabled.telemetry":!1},(function(t){t||(e.eventData.lastSuccess=a,e.eventData.tokenU=n)}),t)}},e}(K)),rt=et.postTurnstileEvent.bind(et),nt=new tt,it=nt.postMapLoadEvent.bind(nt),at=500,ot=50;function st(){self.caches&&!Q&&(Q=self.caches.open("mapbox-tiles"))}function lt(t){var e=t.indexOf("?");return e<0?t:t.slice(0,e)}var ct,ut=1/0;function ht(){return null==ct&&(ct=self.OffscreenCanvas&&new self.OffscreenCanvas(1,1).getContext("2d")&&"function"==typeof self.createImageBitmap),ct}var ft={Unknown:"Unknown",Style:"Style",Source:"Source",Tile:"Tile",Glyphs:"Glyphs",SpriteImage:"SpriteImage",SpriteJSON:"SpriteJSON",Image:"Image"};"function"==typeof Object.freeze&&Object.freeze(ft);var pt,dt,gt=function(t){function e(e,r,n){401===r&&Y(n)&&(e+=": you may have provided an invalid Mapbox access token. See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes"),t.call(this,e),this.status=r,this.url=n,this.name=this.constructor.name,this.message=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.toString=function(){return this.name+": "+this.message+" ("+this.status+"): "+this.url},e}(Error),mt=k()?function(){return self.worker&&self.worker.referrer}:function(){return("blob:"===self.location.protocol?self.parent:self).location.href},vt=function(t,e){if(!(/^file:/.test(r=t.url)||/^file:/.test(mt())&&!/^\w+:/.test(r))){if(self.fetch&&self.Request&&self.AbortController&&self.Request.prototype.hasOwnProperty("signal"))return function(t,e){var r,n=new self.AbortController,i=new self.Request(t.url,{method:t.method||"GET",body:t.body,credentials:t.credentials,headers:t.headers,referrer:mt(),signal:n.signal}),a=!1,o=!1,s=(r=i.url).indexOf("sku=")>0&&Y(r);"json"===t.type&&i.headers.set("Accept","application/json");var l=function(r,n,a){if(!o){if(r&&"SecurityError"!==r.message&&_(r),n&&a)return c(n);var l=Date.now();self.fetch(i).then((function(r){if(r.ok){var n=s?r.clone():null;return c(r,n,l)}return e(new gt(r.statusText,r.status,t.url))})).catch((function(t){20!==t.code&&e(new Error(t.message))}))}},c=function(r,n,s){("arrayBuffer"===t.type?r.arrayBuffer():"json"===t.type?r.json():r.text()).then((function(t){o||(n&&s&&function(t,e,r){if(st(),Q){var n={status:e.status,statusText:e.statusText,headers:new self.Headers};e.headers.forEach((function(t,e){return n.headers.set(e,t)}));var i=M(e.headers.get("Cache-Control")||"");i["no-store"]||(i["max-age"]&&n.headers.set("Expires",new Date(r+1e3*i["max-age"]).toUTCString()),new Date(n.headers.get("Expires")).getTime()-r<42e4||function(t,e){if(void 0===$)try{new Response(new ReadableStream),$=!0}catch(t){$=!1}$?e(t.body):t.blob().then(e)}(e,(function(e){var r=new self.Response(e,n);st(),Q&&Q.then((function(e){return e.put(lt(t.url),r)})).catch((function(t){return _(t.message)}))})))}}(i,n,s),a=!0,e(null,t,r.headers.get("Cache-Control"),r.headers.get("Expires")))})).catch((function(t){o||e(new Error(t.message))}))};return s?function(t,e){if(st(),!Q)return e(null);var r=lt(t.url);Q.then((function(t){t.match(r).then((function(n){var i=function(t){if(!t)return!1;var e=new Date(t.headers.get("Expires")||0),r=M(t.headers.get("Cache-Control")||"");return e>Date.now()&&!r["no-cache"]}(n);t.delete(r),i&&t.put(r,n.clone()),e(null,n,i)})).catch(e)})).catch(e)}(i,l):l(null,null),{cancel:function(){o=!0,a||n.abort()}}}(t,e);if(k()&&self.worker&&self.worker.actor)return self.worker.actor.send("getResource",t,e,void 0,!0)}var r;return function(t,e){var r=new self.XMLHttpRequest;for(var n in r.open(t.method||"GET",t.url,!0),"arrayBuffer"===t.type&&(r.responseType="arraybuffer"),t.headers)r.setRequestHeader(n,t.headers[n]);return"json"===t.type&&(r.responseType="text",r.setRequestHeader("Accept","application/json")),r.withCredentials="include"===t.credentials,r.onerror=function(){e(new Error(r.statusText))},r.onload=function(){if((r.status>=200&&r.status<300||0===r.status)&&null!==r.response){var n=r.response;if("json"===t.type)try{n=JSON.parse(r.response)}catch(t){return e(t)}e(null,n,r.getResponseHeader("Cache-Control"),r.getResponseHeader("Expires"))}else e(new gt(r.statusText,r.status,t.url))},r.send(t.body),{cancel:function(){return r.abort()}}}(t,e)},yt=function(t,e){return vt(u(t,{type:"arrayBuffer"}),e)},xt=function(t,e){return vt(u(t,{method:"POST"}),e)};pt=[],dt=0;var bt=function(t,e){if(B.supported&&(t.headers||(t.headers={}),t.headers.accept="image/webp,*/*"),dt>=F.MAX_PARALLEL_IMAGE_REQUESTS){var r={requestParameters:t,callback:e,cancelled:!1,cancel:function(){this.cancelled=!0}};return pt.push(r),r}dt++;var n=!1,i=function(){if(!n)for(n=!0,dt--;pt.length&&dt<F.MAX_PARALLEL_IMAGE_REQUESTS;){var t=pt.shift();t.cancelled||(t.cancel=bt(t.requestParameters,t.callback).cancel)}},a=yt(t,(function(t,r,n,a){i(),t?e(t):r&&(ht()?function(t,e){var r=new self.Blob([new Uint8Array(t)],{type:"image/png"});self.createImageBitmap(r).then((function(t){e(null,t)})).catch((function(t){e(new Error("Could not load image because of "+t.message+". Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported."))}))}(r,e):function(t,e,r,n){var i=new self.Image,a=self.URL;i.onload=function(){e(null,i),a.revokeObjectURL(i.src)},i.onerror=function(){return e(new Error("Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported."))};var o=new self.Blob([new Uint8Array(t)],{type:"image/png"});i.cacheControl=r,i.expires=n,i.src=t.byteLength?a.createObjectURL(o):"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAAC0lEQVQYV2NgAAIAAAUAAarVyFEAAAAASUVORK5CYII="}(r,e,n,a))}));return{cancel:function(){a.cancel(),i()}}};function _t(t,e,r){r[t]&&-1!==r[t].indexOf(e)||(r[t]=r[t]||[],r[t].push(e))}function wt(t,e,r){if(r&&r[t]){var n=r[t].indexOf(e);-1!==n&&r[t].splice(n,1)}}var Tt=function(t,e){void 0===e&&(e={}),u(this,e),this.type=t},kt=function(t){function e(e,r){void 0===r&&(r={}),t.call(this,"error",u({error:e},r))}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(Tt),Mt=function(){};Mt.prototype.on=function(t,e){return this._listeners=this._listeners||{},_t(t,e,this._listeners),this},Mt.prototype.off=function(t,e){return wt(t,e,this._listeners),wt(t,e,this._oneTimeListeners),this},Mt.prototype.once=function(t,e){return this._oneTimeListeners=this._oneTimeListeners||{},_t(t,e,this._oneTimeListeners),this},Mt.prototype.fire=function(t,e){"string"==typeof t&&(t=new Tt(t,e||{}));var r=t.type;if(this.listens(r)){t.target=this;for(var n=0,i=this._listeners&&this._listeners[r]?this._listeners[r].slice():[];n<i.length;n+=1)i[n].call(this,t);for(var a=0,o=this._oneTimeListeners&&this._oneTimeListeners[r]?this._oneTimeListeners[r].slice():[];a<o.length;a+=1){var s=o[a];wt(r,s,this._oneTimeListeners),s.call(this,t)}var l=this._eventedParent;l&&(u(t,"function"==typeof this._eventedParentData?this._eventedParentData():this._eventedParentData),l.fire(t))}else t instanceof kt&&console.error(t.error);return this},Mt.prototype.listens=function(t){return this._listeners&&this._listeners[t]&&this._listeners[t].length>0||this._oneTimeListeners&&this._oneTimeListeners[t]&&this._oneTimeListeners[t].length>0||this._eventedParent&&this._eventedParent.listens(t)},Mt.prototype.setEventedParent=function(t,e){return this._eventedParent=t,this._eventedParentData=e,this};var At={$version:8,$root:{version:{required:!0,type:"enum",values:[8]},name:{type:"string"},metadata:{type:"*"},center:{type:"array",value:"number"},zoom:{type:"number"},bearing:{type:"number",default:0,period:360,units:"degrees"},pitch:{type:"number",default:0,units:"degrees"},light:{type:"light"},sources:{required:!0,type:"sources"},sprite:{type:"string"},glyphs:{type:"string"},transition:{type:"transition"},layers:{required:!0,type:"array",value:"layer"}},sources:{"*":{type:"source"}},source:["source_vector","source_raster","source_raster_dem","source_geojson","source_video","source_image"],source_vector:{type:{required:!0,type:"enum",values:{vector:{}}},url:{type:"string"},tiles:{type:"array",value:"string"},bounds:{type:"array",value:"number",length:4,default:[-180,-85.051129,180,85.051129]},scheme:{type:"enum",values:{xyz:{},tms:{}},default:"xyz"},minzoom:{type:"number",default:0},maxzoom:{type:"number",default:22},attribution:{type:"string"},promoteId:{type:"promoteId"},"*":{type:"*"}},source_raster:{type:{required:!0,type:"enum",values:{raster:{}}},url:{type:"string"},tiles:{type:"array",value:"string"},bounds:{type:"array",value:"number",length:4,default:[-180,-85.051129,180,85.051129]},minzoom:{type:"number",default:0},maxzoom:{type:"number",default:22},tileSize:{type:"number",default:512,units:"pixels"},scheme:{type:"enum",values:{xyz:{},tms:{}},default:"xyz"},attribution:{type:"string"},"*":{type:"*"}},source_raster_dem:{type:{required:!0,type:"enum",values:{"raster-dem":{}}},url:{type:"string"},tiles:{type:"array",value:"string"},bounds:{type:"array",value:"number",length:4,default:[-180,-85.051129,180,85.051129]},minzoom:{type:"number",default:0},maxzoom:{type:"number",default:22},tileSize:{type:"number",default:512,units:"pixels"},attribution:{type:"string"},encoding:{type:"enum",values:{terrarium:{},mapbox:{}},default:"mapbox"},"*":{type:"*"}},source_geojson:{type:{required:!0,type:"enum",values:{geojson:{}}},data:{type:"*"},maxzoom:{type:"number",default:18},attribution:{type:"string"},buffer:{type:"number",default:128,maximum:512,minimum:0},tolerance:{type:"number",default:.375},cluster:{type:"boolean",default:!1},clusterRadius:{type:"number",default:50,minimum:0},clusterMaxZoom:{type:"number"},clusterProperties:{type:"*"},lineMetrics:{type:"boolean",default:!1},generateId:{type:"boolean",default:!1},promoteId:{type:"promoteId"}},source_video:{type:{required:!0,type:"enum",values:{video:{}}},urls:{required:!0,type:"array",value:"string"},coordinates:{required:!0,type:"array",length:4,value:{type:"array",length:2,value:"number"}}},source_image:{type:{required:!0,type:"enum",values:{image:{}}},url:{required:!0,type:"string"},coordinates:{required:!0,type:"array",length:4,value:{type:"array",length:2,value:"number"}}},layer:{id:{type:"string",required:!0},type:{type:"enum",values:{fill:{},line:{},symbol:{},circle:{},heatmap:{},"fill-extrusion":{},raster:{},hillshade:{},background:{}},required:!0},metadata:{type:"*"},source:{type:"string"},"source-layer":{type:"string"},minzoom:{type:"number",minimum:0,maximum:24},maxzoom:{type:"number",minimum:0,maximum:24},filter:{type:"filter"},layout:{type:"layout"},paint:{type:"paint"}},layout:["layout_fill","layout_line","layout_circle","layout_heatmap","layout_fill-extrusion","layout_symbol","layout_raster","layout_hillshade","layout_background"],layout_background:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_fill:{"fill-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_circle:{"circle-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_heatmap:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},"layout_fill-extrusion":{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_line:{"line-cap":{type:"enum",values:{butt:{},round:{},square:{}},default:"butt",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"line-join":{type:"enum",values:{bevel:{},round:{},miter:{}},default:"miter",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"line-miter-limit":{type:"number",default:2,requires:[{"line-join":"miter"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"line-round-limit":{type:"number",default:1.05,requires:[{"line-join":"round"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"line-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_symbol:{"symbol-placement":{type:"enum",values:{point:{},line:{},"line-center":{}},default:"point",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"symbol-spacing":{type:"number",default:250,minimum:1,units:"pixels",requires:[{"symbol-placement":"line"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"symbol-avoid-edges":{type:"boolean",default:!1,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"symbol-sort-key":{type:"number",expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"symbol-z-order":{type:"enum",values:{auto:{},"viewport-y":{},source:{}},default:"auto",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-allow-overlap":{type:"boolean",default:!1,requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-ignore-placement":{type:"boolean",default:!1,requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-optional":{type:"boolean",default:!1,requires:["icon-image","text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-rotation-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-size":{type:"number",default:1,minimum:0,units:"factor of the original icon size",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-text-fit":{type:"enum",values:{none:{},width:{},height:{},both:{}},default:"none",requires:["icon-image","text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-text-fit-padding":{type:"array",value:"number",length:4,default:[0,0,0,0],units:"pixels",requires:["icon-image","text-field",{"icon-text-fit":["both","width","height"]}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"icon-image":{type:"resolvedImage",tokens:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-rotate":{type:"number",default:0,period:360,units:"degrees",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-padding":{type:"number",default:2,minimum:0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"icon-keep-upright":{type:"boolean",default:!1,requires:["icon-image",{"icon-rotation-alignment":"map"},{"symbol-placement":["line","line-center"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"icon-offset":{type:"array",value:"number",length:2,default:[0,0],requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-anchor":{type:"enum",values:{center:{},left:{},right:{},top:{},bottom:{},"top-left":{},"top-right":{},"bottom-left":{},"bottom-right":{}},default:"center",requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"icon-pitch-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-pitch-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-rotation-alignment":{type:"enum",values:{map:{},viewport:{},auto:{}},default:"auto",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-field":{type:"formatted",default:"",tokens:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-font":{type:"array",value:"string",default:["Open Sans Regular","Arial Unicode MS Regular"],requires:["text-field"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-size":{type:"number",default:16,minimum:0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-max-width":{type:"number",default:10,minimum:0,units:"ems",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-line-height":{type:"number",default:1.2,units:"ems",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-letter-spacing":{type:"number",default:0,units:"ems",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-justify":{type:"enum",values:{auto:{},left:{},center:{},right:{}},default:"center",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-radial-offset":{type:"number",units:"ems",default:0,requires:["text-field"],"property-type":"data-driven",expression:{interpolated:!0,parameters:["zoom","feature"]}},"text-variable-anchor":{type:"array",value:"enum",values:{center:{},left:{},right:{},top:{},bottom:{},"top-left":{},"top-right":{},"bottom-left":{},"bottom-right":{}},requires:["text-field",{"symbol-placement":["point"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-anchor":{type:"enum",values:{center:{},left:{},right:{},top:{},bottom:{},"top-left":{},"top-right":{},"bottom-left":{},"bottom-right":{}},default:"center",requires:["text-field",{"!":"text-variable-anchor"}],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-max-angle":{type:"number",default:45,units:"degrees",requires:["text-field",{"symbol-placement":["line","line-center"]}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-writing-mode":{type:"array",value:"enum",values:{horizontal:{},vertical:{}},requires:["text-field",{"symbol-placement":["point"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-rotate":{type:"number",default:0,period:360,units:"degrees",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-padding":{type:"number",default:2,minimum:0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-keep-upright":{type:"boolean",default:!0,requires:["text-field",{"text-rotation-alignment":"map"},{"symbol-placement":["line","line-center"]}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-transform":{type:"enum",values:{none:{},uppercase:{},lowercase:{}},default:"none",requires:["text-field"],expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-offset":{type:"array",value:"number",units:"ems",length:2,default:[0,0],requires:["text-field",{"!":"text-radial-offset"}],expression:{interpolated:!0,parameters:["zoom","feature"]},"property-type":"data-driven"},"text-allow-overlap":{type:"boolean",default:!1,requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-ignore-placement":{type:"boolean",default:!1,requires:["text-field"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-optional":{type:"boolean",default:!1,requires:["text-field","icon-image"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_raster:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},layout_hillshade:{visibility:{type:"enum",values:{visible:{},none:{}},default:"visible","property-type":"constant"}},filter:{type:"array",value:"*"},filter_operator:{type:"enum",values:{"==":{},"!=":{},">":{},">=":{},"<":{},"<=":{},in:{},"!in":{},all:{},any:{},none:{},has:{},"!has":{},within:{}}},geometry_type:{type:"enum",values:{Point:{},LineString:{},Polygon:{}}},function:{expression:{type:"expression"},stops:{type:"array",value:"function_stop"},base:{type:"number",default:1,minimum:0},property:{type:"string",default:"$zoom"},type:{type:"enum",values:{identity:{},exponential:{},interval:{},categorical:{}},default:"exponential"},colorSpace:{type:"enum",values:{rgb:{},lab:{},hcl:{}},default:"rgb"},default:{type:"*",required:!1}},function_stop:{type:"array",minimum:0,maximum:24,value:["number","color"],length:2},expression:{type:"array",value:"*",minimum:1},expression_name:{type:"enum",values:{let:{group:"Variable binding"},var:{group:"Variable binding"},literal:{group:"Types"},array:{group:"Types"},at:{group:"Lookup"},in:{group:"Lookup"},"index-of":{group:"Lookup"},slice:{group:"Lookup"},case:{group:"Decision"},match:{group:"Decision"},coalesce:{group:"Decision"},step:{group:"Ramps, scales, curves"},interpolate:{group:"Ramps, scales, curves"},"interpolate-hcl":{group:"Ramps, scales, curves"},"interpolate-lab":{group:"Ramps, scales, curves"},ln2:{group:"Math"},pi:{group:"Math"},e:{group:"Math"},typeof:{group:"Types"},string:{group:"Types"},number:{group:"Types"},boolean:{group:"Types"},object:{group:"Types"},collator:{group:"Types"},format:{group:"Types"},image:{group:"Types"},"number-format":{group:"Types"},"to-string":{group:"Types"},"to-number":{group:"Types"},"to-boolean":{group:"Types"},"to-rgba":{group:"Color"},"to-color":{group:"Types"},rgb:{group:"Color"},rgba:{group:"Color"},get:{group:"Lookup"},has:{group:"Lookup"},length:{group:"Lookup"},properties:{group:"Feature data"},"feature-state":{group:"Feature data"},"geometry-type":{group:"Feature data"},id:{group:"Feature data"},zoom:{group:"Zoom"},"heatmap-density":{group:"Heatmap"},"line-progress":{group:"Feature data"},accumulated:{group:"Feature data"},"+":{group:"Math"},"*":{group:"Math"},"-":{group:"Math"},"/":{group:"Math"},"%":{group:"Math"},"^":{group:"Math"},sqrt:{group:"Math"},log10:{group:"Math"},ln:{group:"Math"},log2:{group:"Math"},sin:{group:"Math"},cos:{group:"Math"},tan:{group:"Math"},asin:{group:"Math"},acos:{group:"Math"},atan:{group:"Math"},min:{group:"Math"},max:{group:"Math"},round:{group:"Math"},abs:{group:"Math"},ceil:{group:"Math"},floor:{group:"Math"},distance:{group:"Math"},"==":{group:"Decision"},"!=":{group:"Decision"},">":{group:"Decision"},"<":{group:"Decision"},">=":{group:"Decision"},"<=":{group:"Decision"},all:{group:"Decision"},any:{group:"Decision"},"!":{group:"Decision"},within:{group:"Decision"},"is-supported-script":{group:"String"},upcase:{group:"String"},downcase:{group:"String"},concat:{group:"String"},"resolved-locale":{group:"String"}}},light:{anchor:{type:"enum",default:"viewport",values:{map:{},viewport:{}},"property-type":"data-constant",transition:!1,expression:{interpolated:!1,parameters:["zoom"]}},position:{type:"array",default:[1.15,210,30],length:3,value:"number","property-type":"data-constant",transition:!0,expression:{interpolated:!0,parameters:["zoom"]}},color:{type:"color","property-type":"data-constant",default:"#ffffff",expression:{interpolated:!0,parameters:["zoom"]},transition:!0},intensity:{type:"number","property-type":"data-constant",default:.5,minimum:0,maximum:1,expression:{interpolated:!0,parameters:["zoom"]},transition:!0}},paint:["paint_fill","paint_line","paint_circle","paint_heatmap","paint_fill-extrusion","paint_symbol","paint_raster","paint_hillshade","paint_background"],paint_fill:{"fill-antialias":{type:"boolean",default:!0,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"fill-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"fill-pattern"}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-outline-color":{type:"color",transition:!0,requires:[{"!":"fill-pattern"},{"fill-antialias":!0}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"fill-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["fill-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"fill-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"cross-faded-data-driven"}},"paint_fill-extrusion":{"fill-extrusion-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"fill-extrusion-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"fill-extrusion-pattern"}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-extrusion-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"fill-extrusion-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["fill-extrusion-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"fill-extrusion-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"cross-faded-data-driven"},"fill-extrusion-height":{type:"number",default:0,minimum:0,units:"meters",transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-extrusion-base":{type:"number",default:0,minimum:0,units:"meters",transition:!0,requires:["fill-extrusion-height"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"fill-extrusion-vertical-gradient":{type:"boolean",default:!0,transition:!1,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"}},paint_line:{"line-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"line-pattern"}],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"line-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["line-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"line-width":{type:"number",default:1,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-gap-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-offset":{type:"number",default:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-blur":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"line-dasharray":{type:"array",value:"number",minimum:0,transition:!0,units:"line widths",requires:[{"!":"line-pattern"}],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"cross-faded"},"line-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom","feature"]},"property-type":"cross-faded-data-driven"},"line-gradient":{type:"color",transition:!1,requires:[{"!":"line-dasharray"},{"!":"line-pattern"},{source:"geojson",has:{lineMetrics:!0}}],expression:{interpolated:!0,parameters:["line-progress"]},"property-type":"color-ramp"}},paint_circle:{"circle-radius":{type:"number",default:5,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-blur":{type:"number",default:0,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"circle-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["circle-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"circle-pitch-scale":{type:"enum",values:{map:{},viewport:{}},default:"map",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"circle-pitch-alignment":{type:"enum",values:{map:{},viewport:{}},default:"viewport",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"circle-stroke-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-stroke-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"circle-stroke-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"}},paint_heatmap:{"heatmap-radius":{type:"number",default:30,minimum:1,transition:!0,units:"pixels",expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"heatmap-weight":{type:"number",default:1,minimum:0,transition:!1,expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"heatmap-intensity":{type:"number",default:1,minimum:0,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"heatmap-color":{type:"color",default:["interpolate",["linear"],["heatmap-density"],0,"rgba(0, 0, 255, 0)",.1,"royalblue",.3,"cyan",.5,"lime",.7,"yellow",1,"red"],transition:!1,expression:{interpolated:!0,parameters:["heatmap-density"]},"property-type":"color-ramp"},"heatmap-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},paint_symbol:{"icon-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-color":{type:"color",default:"#000000",transition:!0,requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-halo-color":{type:"color",default:"rgba(0, 0, 0, 0)",transition:!0,requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-halo-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-halo-blur":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"icon-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",requires:["icon-image"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"icon-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["icon-image","icon-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"text-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-color":{type:"color",default:"#000000",transition:!0,overridable:!0,requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-halo-color":{type:"color",default:"rgba(0, 0, 0, 0)",transition:!0,requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-halo-width":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-halo-blur":{type:"number",default:0,minimum:0,transition:!0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom","feature","feature-state"]},"property-type":"data-driven"},"text-translate":{type:"array",value:"number",length:2,default:[0,0],transition:!0,units:"pixels",requires:["text-field"],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"text-translate-anchor":{type:"enum",values:{map:{},viewport:{}},default:"map",requires:["text-field","text-translate"],expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"}},paint_raster:{"raster-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-hue-rotate":{type:"number",default:0,period:360,transition:!0,units:"degrees",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-brightness-min":{type:"number",default:0,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-brightness-max":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-saturation":{type:"number",default:0,minimum:-1,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-contrast":{type:"number",default:0,minimum:-1,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"raster-resampling":{type:"enum",values:{linear:{},nearest:{}},default:"linear",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"raster-fade-duration":{type:"number",default:300,minimum:0,transition:!1,units:"milliseconds",expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},paint_hillshade:{"hillshade-illumination-direction":{type:"number",default:335,minimum:0,maximum:359,transition:!1,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-illumination-anchor":{type:"enum",values:{map:{},viewport:{}},default:"viewport",expression:{interpolated:!1,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-exaggeration":{type:"number",default:.5,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-shadow-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-highlight-color":{type:"color",default:"#FFFFFF",transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"hillshade-accent-color":{type:"color",default:"#000000",transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},paint_background:{"background-color":{type:"color",default:"#000000",transition:!0,requires:[{"!":"background-pattern"}],expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"},"background-pattern":{type:"resolvedImage",transition:!0,expression:{interpolated:!1,parameters:["zoom"]},"property-type":"cross-faded"},"background-opacity":{type:"number",default:1,minimum:0,maximum:1,transition:!0,expression:{interpolated:!0,parameters:["zoom"]},"property-type":"data-constant"}},transition:{duration:{type:"number",default:300,minimum:0,units:"milliseconds"},delay:{type:"number",default:0,minimum:0,units:"milliseconds"}},"property-type":{"data-driven":{type:"property-type"},"cross-faded":{type:"property-type"},"cross-faded-data-driven":{type:"property-type"},"color-ramp":{type:"property-type"},"data-constant":{type:"property-type"},constant:{type:"property-type"}},promoteId:{"*":{type:"string"}}},St=function(t,e,r,n){this.message=(t?t+": ":"")+r,n&&(this.identifier=n),null!=e&&e.__line__&&(this.line=e.__line__)};function Et(t){var e=t.value;return e?[new St(t.key,e,"constants have been deprecated as of v8")]:[]}function Ct(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}function Lt(t){return t instanceof Number||t instanceof String||t instanceof Boolean?t.valueOf():t}function Pt(t){if(Array.isArray(t))return t.map(Pt);if(t instanceof Object&&!(t instanceof Number||t instanceof String||t instanceof Boolean)){var e={};for(var r in t)e[r]=Pt(t[r]);return e}return Lt(t)}var It=function(t){function e(e,r){t.call(this,r),this.message=r,this.key=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(Error),zt=function(t,e){void 0===e&&(e=[]),this.parent=t,this.bindings={};for(var r=0,n=e;r<n.length;r+=1){var i=n[r];this.bindings[i[0]]=i[1]}};zt.prototype.concat=function(t){return new zt(this,t)},zt.prototype.get=function(t){if(this.bindings[t])return this.bindings[t];if(this.parent)return this.parent.get(t);throw new Error(t+" not found in scope.")},zt.prototype.has=function(t){return!!this.bindings[t]||!!this.parent&&this.parent.has(t)};var Ot={kind:"null"},Dt={kind:"number"},Rt={kind:"string"},Ft={kind:"boolean"},Bt={kind:"color"},Nt={kind:"object"},jt={kind:"value"},Ut={kind:"collator"},Vt={kind:"formatted"},qt={kind:"resolvedImage"};function Ht(t,e){return{kind:"array",itemType:t,N:e}}function Gt(t){if("array"===t.kind){var e=Gt(t.itemType);return"number"==typeof t.N?"array<"+e+", "+t.N+">":"value"===t.itemType.kind?"array":"array<"+e+">"}return t.kind}var Yt=[Ot,Dt,Rt,Ft,Bt,Vt,Nt,Ht(jt),qt];function Wt(t,e){if("error"===e.kind)return null;if("array"===t.kind){if("array"===e.kind&&(0===e.N&&"value"===e.itemType.kind||!Wt(t.itemType,e.itemType))&&("number"!=typeof t.N||t.N===e.N))return null}else{if(t.kind===e.kind)return null;if("value"===t.kind)for(var r=0,n=Yt;r<n.length;r+=1)if(!Wt(n[r],e))return null}return"Expected "+Gt(t)+" but found "+Gt(e)+" instead."}function Zt(t,e){return e.some((function(e){return e.kind===t.kind}))}function Xt(t,e){return e.some((function(e){return"null"===e?null===t:"array"===e?Array.isArray(t):"object"===e?t&&!Array.isArray(t)&&"object"==typeof t:e===typeof t}))}var Jt=e((function(t,e){var r={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return n("%"===t[t.length-1]?parseFloat(t)/100*255:parseInt(t))}function a(t){return(e="%"===t[t.length-1]?parseFloat(t)/100:parseFloat(t))<0?0:e>1?1:e;var e}function o(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,s=t.replace(/ /g,"").toLowerCase();if(s in r)return r[s].slice();if("#"===s[0])return 4===s.length?(e=parseInt(s.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===s.length&&(e=parseInt(s.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=s.indexOf("("),c=s.indexOf(")");if(-1!==l&&c+1===s.length){var u=s.substr(0,l),h=s.substr(l+1,c-(l+1)).split(","),f=1;switch(u){case"rgba":if(4!==h.length)return null;f=a(h.pop());case"rgb":return 3!==h.length?null:[i(h[0]),i(h[1]),i(h[2]),f];case"hsla":if(4!==h.length)return null;f=a(h.pop());case"hsl":if(3!==h.length)return null;var p=(parseFloat(h[0])%360+360)%360/360,d=a(h[1]),g=a(h[2]),m=g<=.5?g*(d+1):g+d-g*d,v=2*g-m;return[n(255*o(v,m,p+1/3)),n(255*o(v,m,p)),n(255*o(v,m,p-1/3)),f];default:return null}}return null}}catch(t){}})).parseCSSColor,Kt=function(t,e,r,n){void 0===n&&(n=1),this.r=t,this.g=e,this.b=r,this.a=n};Kt.parse=function(t){if(t){if(t instanceof Kt)return t;if("string"==typeof t){var e=Jt(t);if(e)return new Kt(e[0]/255*e[3],e[1]/255*e[3],e[2]/255*e[3],e[3])}}},Kt.prototype.toString=function(){var t=this.toArray(),e=t[1],r=t[2],n=t[3];return"rgba("+Math.round(t[0])+","+Math.round(e)+","+Math.round(r)+","+n+")"},Kt.prototype.toArray=function(){var t=this.a;return 0===t?[0,0,0,0]:[255*this.r/t,255*this.g/t,255*this.b/t,t]},Kt.black=new Kt(0,0,0,1),Kt.white=new Kt(1,1,1,1),Kt.transparent=new Kt(0,0,0,0),Kt.red=new Kt(1,0,0,1);var Qt=function(t,e,r){this.sensitivity=t?e?"variant":"case":e?"accent":"base",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:"search"})};Qt.prototype.compare=function(t,e){return this.collator.compare(t,e)},Qt.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var $t=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},te=function(t){this.sections=t};te.fromString=function(t){return new te([new $t(t,null,null,null,null)])},te.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},te.factory=function(t){return t instanceof te?t:te.fromString(t)},te.prototype.toString=function(){return 0===this.sections.length?"":this.sections.map((function(t){return t.text})).join("")},te.prototype.serialize=function(){for(var t=["format"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push(["image",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i["text-font"]=["literal",n.fontStack.split(",")]),n.scale&&(i["font-scale"]=n.scale),n.textColor&&(i["text-color"]=["rgba"].concat(n.textColor.toArray())),t.push(i)}}return t};var ee=function(t){this.name=t.name,this.available=t.available};function re(t,e,r,n){return"number"==typeof t&&t>=0&&t<=255&&"number"==typeof e&&e>=0&&e<=255&&"number"==typeof r&&r>=0&&r<=255?void 0===n||"number"==typeof n&&n>=0&&n<=1?null:"Invalid rgba value ["+[t,e,r,n].join(", ")+"]: 'a' must be between 0 and 1.":"Invalid rgba value ["+("number"==typeof n?[t,e,r,n]:[t,e,r]).join(", ")+"]: 'r', 'g', and 'b' must be between 0 and 255."}function ne(t){if(null===t)return!0;if("string"==typeof t)return!0;if("boolean"==typeof t)return!0;if("number"==typeof t)return!0;if(t instanceof Kt)return!0;if(t instanceof Qt)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(Array.isArray(t)){for(var e=0,r=t;e<r.length;e+=1)if(!ne(r[e]))return!1;return!0}if("object"==typeof t){for(var n in t)if(!ne(t[n]))return!1;return!0}return!1}function ie(t){if(null===t)return Ot;if("string"==typeof t)return Rt;if("boolean"==typeof t)return Ft;if("number"==typeof t)return Dt;if(t instanceof Kt)return Bt;if(t instanceof Qt)return Ut;if(t instanceof te)return Vt;if(t instanceof ee)return qt;if(Array.isArray(t)){for(var e,r=t.length,n=0,i=t;n<i.length;n+=1){var a=ie(i[n]);if(e){if(e===a)continue;e=jt;break}e=a}return Ht(e||jt,r)}return Nt}function ae(t){var e=typeof t;return null===t?"":"string"===e||"number"===e||"boolean"===e?String(t):t instanceof Kt||t instanceof te||t instanceof ee?t.toString():JSON.stringify(t)}ee.prototype.toString=function(){return this.name},ee.fromString=function(t){return t?new ee({name:t,available:!1}):null},ee.prototype.serialize=function(){return["image",this.name]};var oe=function(t,e){this.type=t,this.value=e};oe.parse=function(t,e){if(2!==t.length)return e.error("'literal' expression requires exactly one argument, but found "+(t.length-1)+" instead.");if(!ne(t[1]))return e.error("invalid value");var r=t[1],n=ie(r),i=e.expectedType;return"array"!==n.kind||0!==n.N||!i||"array"!==i.kind||"number"==typeof i.N&&0!==i.N||(n=i),new oe(n,r)},oe.prototype.evaluate=function(){return this.value},oe.prototype.eachChild=function(){},oe.prototype.outputDefined=function(){return!0},oe.prototype.serialize=function(){return"array"===this.type.kind||"object"===this.type.kind?["literal",this.value]:this.value instanceof Kt?["rgba"].concat(this.value.toArray()):this.value instanceof te?this.value.serialize():this.value};var se=function(t){this.name="ExpressionEvaluationError",this.message=t};se.prototype.toJSON=function(){return this.message};var le={string:Rt,number:Dt,boolean:Ft,object:Nt},ce=function(t,e){this.type=t,this.args=e};ce.parse=function(t,e){if(t.length<2)return e.error("Expected at least one argument.");var r,n=1,i=t[0];if("array"===i){var a,o;if(t.length>2){var s=t[1];if("string"!=typeof s||!(s in le)||"object"===s)return e.error('The item type argument of "array" must be one of string, number, boolean',1);a=le[s],n++}else a=jt;if(t.length>3){if(null!==t[2]&&("number"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to "array" must be a positive integer literal',2);o=t[2],n++}r=Ht(a,o)}else r=le[i];for(var l=[];n<t.length;n++){var c=e.parse(t[n],n,jt);if(!c)return null;l.push(c)}return new ce(r,l)},ce.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!Wt(this.type,ie(r)))return r;if(e===this.args.length-1)throw new se("Expected value to be of type "+Gt(this.type)+", but found "+Gt(ie(r))+" instead.")}return null},ce.prototype.eachChild=function(t){this.args.forEach(t)},ce.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ce.prototype.serialize=function(){var t=this.type,e=[t.kind];if("array"===t.kind){var r=t.itemType;if("string"===r.kind||"number"===r.kind||"boolean"===r.kind){e.push(r.kind);var n=t.N;("number"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var ue=function(t){this.type=Vt,this.sections=t};ue.parse=function(t,e){if(t.length<2)return e.error("Expected at least one argument.");var r=t[1];if(!Array.isArray(r)&&"object"==typeof r)return e.error("First argument must be an image or text section.");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&"object"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o["font-scale"]&&!(s=e.parse(o["font-scale"],1,Dt)))return null;var l=null;if(o["text-font"]&&!(l=e.parse(o["text-font"],1,Ht(Rt))))return null;var c=null;if(o["text-color"]&&!(c=e.parse(o["text-color"],1,Bt)))return null;var u=n[n.length-1];u.scale=s,u.font=l,u.textColor=c}else{var h=e.parse(t[a],1,jt);if(!h)return null;var f=h.type.kind;if("string"!==f&&"value"!==f&&"null"!==f&&"resolvedImage"!==f)return e.error("Formatted text type must be 'string', 'value', 'image' or 'null'.");i=!0,n.push({content:h,scale:null,font:null,textColor:null})}}return new ue(n)},ue.prototype.evaluate=function(t){return new te(this.sections.map((function(e){var r=e.content.evaluate(t);return ie(r)===qt?new $t("",r,null,null,null):new $t(ae(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(","):null,e.textColor?e.textColor.evaluate(t):null)})))},ue.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},ue.prototype.outputDefined=function(){return!1},ue.prototype.serialize=function(){for(var t=["format"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i["font-scale"]=n.scale.serialize()),n.font&&(i["text-font"]=n.font.serialize()),n.textColor&&(i["text-color"]=n.textColor.serialize()),t.push(i)}return t};var he=function(t){this.type=qt,this.input=t};he.parse=function(t,e){if(2!==t.length)return e.error("Expected two arguments.");var r=e.parse(t[1],1,Rt);return r?new he(r):e.error("No image name provided.")},he.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ee.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},he.prototype.eachChild=function(t){t(this.input)},he.prototype.outputDefined=function(){return!1},he.prototype.serialize=function(){return["image",this.input.serialize()]};var fe={"to-boolean":Ft,"to-color":Bt,"to-number":Dt,"to-string":Rt},pe=function(t,e){this.type=t,this.args=e};pe.parse=function(t,e){if(t.length<2)return e.error("Expected at least one argument.");var r=t[0];if(("to-boolean"===r||"to-string"===r)&&2!==t.length)return e.error("Expected one argument.");for(var n=fe[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,jt);if(!o)return null;i.push(o)}return new pe(n,i)},pe.prototype.evaluate=function(t){if("boolean"===this.type.kind)return Boolean(this.args[0].evaluate(t));if("color"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof Kt)return e;if("string"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?"Invalid rbga value "+JSON.stringify(e)+": expected an array containing either three or four numeric values.":re(e[0],e[1],e[2],e[3])))return new Kt(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new se(r||"Could not parse color from value '"+("string"==typeof e?e:String(JSON.stringify(e)))+"'")}if("number"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new se("Could not convert "+JSON.stringify(o)+" to number.")}return"formatted"===this.type.kind?te.fromString(ae(this.args[0].evaluate(t))):"resolvedImage"===this.type.kind?ee.fromString(ae(this.args[0].evaluate(t))):ae(this.args[0].evaluate(t))},pe.prototype.eachChild=function(t){this.args.forEach(t)},pe.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},pe.prototype.serialize=function(){if("formatted"===this.type.kind)return new ue([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if("resolvedImage"===this.type.kind)return new he(this.args[0]).serialize();var t=["to-"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var de=["Unknown","Point","LineString","Polygon"],ge=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};ge.prototype.id=function(){return this.feature&&"id"in this.feature?this.feature.id:null},ge.prototype.geometryType=function(){return this.feature?"number"==typeof this.feature.type?de[this.feature.type]:this.feature.type:null},ge.prototype.geometry=function(){return this.feature&&"geometry"in this.feature?this.feature.geometry:null},ge.prototype.canonicalID=function(){return this.canonical},ge.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ge.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Kt.parse(t)),e};var me=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n};me.prototype.evaluate=function(t){return this._evaluate(t,this.args)},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return!1},me.prototype.serialize=function(){return[this.name].concat(this.args.map((function(t){return t.serialize()})))},me.parse=function(t,e){var r,n=t[0],i=me.definitions[n];if(!i)return e.error('Unknown expression "'+n+'". If you wanted a literal array, use ["literal", [...]].',0);for(var a=Array.isArray(i)?i[0]:i.type,o=Array.isArray(i)?[[i[1],i[2]]]:i.overloads,s=o.filter((function(e){var r=e[0];return!Array.isArray(r)||r.length===t.length-1})),l=null,c=0,u=s;c<u.length;c+=1){var h=u[c],f=h[0],p=h[1];l=new Be(e.registry,e.path,null,e.scope);for(var d=[],g=!1,m=1;m<t.length;m++){var v=t[m],y=Array.isArray(f)?f[m-1]:f.type,x=l.parse(v,1+d.length,y);if(!x){g=!0;break}d.push(x)}if(!g)if(Array.isArray(f)&&f.length!==d.length)l.error("Expected "+f.length+" arguments, but found "+d.length+" instead.");else{for(var b=0;b<d.length;b++){var _=Array.isArray(f)?f[b]:f.type,w=d[b];l.concat(b+1).checkSubtype(_,w.type)}if(0===l.errors.length)return new me(n,a,p,d)}}if(1===s.length)(r=e.errors).push.apply(r,l.errors);else{for(var T=(s.length?s:o).map((function(t){var e;return e=t[0],Array.isArray(e)?"("+e.map(Gt).join(", ")+")":"("+Gt(e.type)+"...)"})).join(" | "),k=[],M=1;M<t.length;M++){var A=e.parse(t[M],1+k.length);if(!A)return null;k.push(Gt(A.type))}e.error("Expected arguments of type "+T+", but found ("+k.join(", ")+") instead.")}return null},me.register=function(t,e){for(var r in me.definitions=e,e)t[r]=me};var ve=function(t,e,r){this.type=Ut,this.locale=r,this.caseSensitive=t,this.diacriticSensitive=e};function ye(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function xe(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function be(t,e){var r=(180+t[0])/360,n=(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t[1]*Math.PI/360)))/360,i=Math.pow(2,e.z);return[Math.round(r*i*8192),Math.round(n*i*8192)]}function _e(t,e,r){return e[1]>t[1]!=r[1]>t[1]&&t[0]<(r[0]-e[0])*(t[1]-e[1])/(r[1]-e[1])+e[0]}function we(t,e){for(var r,n,i,a,o,s,l,c=!1,u=0,h=e.length;u<h;u++)for(var f=e[u],p=0,d=f.length;p<d-1;p++){if((a=(r=t)[0]-(n=f[p])[0])*(l=r[1]-(i=f[p+1])[1])-(s=r[0]-i[0])*(o=r[1]-n[1])==0&&a*s<=0&&o*l<=0)return!1;_e(t,f[p],f[p+1])&&(c=!c)}return c}function Te(t,e){for(var r=0;r<e.length;r++)if(we(t,e[r]))return!0;return!1}function ke(t,e,r,n){var i=n[0]-r[0],a=n[1]-r[1],o=(t[0]-r[0])*a-i*(t[1]-r[1]),s=(e[0]-r[0])*a-i*(e[1]-r[1]);return o>0&&s<0||o<0&&s>0}function Me(t,e,r){for(var n=0,i=r;n<i.length;n+=1)for(var a=i[n],o=0;o<a.length-1;++o)if(0!=(h=[(u=a[o+1])[0]-(c=a[o])[0],u[1]-c[1]])[0]*(f=[(l=e)[0]-(s=t)[0],l[1]-s[1]])[1]-h[1]*f[0]&&ke(s,l,c,u)&&ke(c,u,s,l))return!0;var s,l,c,u,h,f;return!1}function Ae(t,e){for(var r=0;r<t.length;++r)if(!we(t[r],e))return!1;for(var n=0;n<t.length-1;++n)if(Me(t[n],t[n+1],e))return!1;return!0}function Se(t,e){for(var r=0;r<e.length;r++)if(Ae(t,e[r]))return!0;return!1}function Ee(t,e,r){for(var n=[],i=0;i<t.length;i++){for(var a=[],o=0;o<t[i].length;o++){var s=be(t[i][o],r);ye(e,s),a.push(s)}n.push(a)}return n}function Ce(t,e,r){for(var n=[],i=0;i<t.length;i++){var a=Ee(t[i],e,r);n.push(a)}return n}function Le(t,e,r,n){if(t[0]<r[0]||t[0]>r[2]){var i=.5*n,a=t[0]-r[0]>i?-n:r[0]-t[0]>i?n:0;0===a&&(a=t[0]-r[2]>i?-n:r[2]-t[0]>i?n:0),t[0]+=a}ye(e,t)}function Pe(t,e,r,n){for(var i=8192*Math.pow(2,n.z),a=[8192*n.x,8192*n.y],o=[],s=0,l=t;s<l.length;s+=1)for(var c=0,u=l[s];c<u.length;c+=1){var h=u[c],f=[h.x+a[0],h.y+a[1]];Le(f,e,r,i),o.push(f)}return o}function Ie(t,e,r,n){for(var i,a=8192*Math.pow(2,n.z),o=[8192*n.x,8192*n.y],s=[],l=0,c=t;l<c.length;l+=1){for(var u=[],h=0,f=c[l];h<f.length;h+=1){var p=f[h],d=[p.x+o[0],p.y+o[1]];ye(e,d),u.push(d)}s.push(u)}if(e[2]-e[0]<=a/2){(i=e)[0]=i[1]=1/0,i[2]=i[3]=-1/0;for(var g=0,m=s;g<m.length;g+=1)for(var v=0,y=m[g];v<y.length;v+=1)Le(y[v],e,r,a)}return s}ve.parse=function(t,e){if(2!==t.length)return e.error("Expected one argument.");var r=t[1];if("object"!=typeof r||Array.isArray(r))return e.error("Collator options argument must be an object.");var n=e.parse(void 0!==r["case-sensitive"]&&r["case-sensitive"],1,Ft);if(!n)return null;var i=e.parse(void 0!==r["diacritic-sensitive"]&&r["diacritic-sensitive"],1,Ft);if(!i)return null;var a=null;return r.locale&&!(a=e.parse(r.locale,1,Rt))?null:new ve(n,i,a)},ve.prototype.evaluate=function(t){return new Qt(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)},ve.prototype.eachChild=function(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)},ve.prototype.outputDefined=function(){return!1},ve.prototype.serialize=function(){var t={};return t["case-sensitive"]=this.caseSensitive.serialize(),t["diacritic-sensitive"]=this.diacriticSensitive.serialize(),this.locale&&(t.locale=this.locale.serialize()),["collator",t]};var ze=function(t,e){this.type=Ft,this.geojson=t,this.geometries=e};function Oe(t){if(t instanceof me){if("get"===t.name&&1===t.args.length)return!1;if("feature-state"===t.name)return!1;if("has"===t.name&&1===t.args.length)return!1;if("properties"===t.name||"geometry-type"===t.name||"id"===t.name)return!1;if(/^filter-/.test(t.name))return!1}if(t instanceof ze)return!1;var e=!0;return t.eachChild((function(t){e&&!Oe(t)&&(e=!1)})),e}function De(t){if(t instanceof me&&"feature-state"===t.name)return!1;var e=!0;return t.eachChild((function(t){e&&!De(t)&&(e=!1)})),e}function Re(t,e){if(t instanceof me&&e.indexOf(t.name)>=0)return!1;var r=!0;return t.eachChild((function(t){r&&!Re(t,e)&&(r=!1)})),r}ze.parse=function(t,e){if(2!==t.length)return e.error("'within' expression requires exactly one argument, but found "+(t.length-1)+" instead.");if(ne(t[1])){var r=t[1];if("FeatureCollection"===r.type)for(var n=0;n<r.features.length;++n){var i=r.features[n].geometry.type;if("Polygon"===i||"MultiPolygon"===i)return new ze(r,r.features[n].geometry)}else if("Feature"===r.type){var a=r.geometry.type;if("Polygon"===a||"MultiPolygon"===a)return new ze(r,r.geometry)}else if("Polygon"===r.type||"MultiPolygon"===r.type)return new ze(r,r)}return e.error("'within' expression requires valid geojson object that contains polygon geometry type.")},ze.prototype.evaluate=function(t){if(null!=t.geometry()&&null!=t.canonicalID()){if("Point"===t.geometryType())return function(t,e){var r=[1/0,1/0,-1/0,-1/0],n=[1/0,1/0,-1/0,-1/0],i=t.canonicalID();if("Polygon"===e.type){var a=Ee(e.coordinates,n,i),o=Pe(t.geometry(),r,n,i);if(!xe(r,n))return!1;for(var s=0,l=o;s<l.length;s+=1)if(!we(l[s],a))return!1}if("MultiPolygon"===e.type){var c=Ce(e.coordinates,n,i),u=Pe(t.geometry(),r,n,i);if(!xe(r,n))return!1;for(var h=0,f=u;h<f.length;h+=1)if(!Te(f[h],c))return!1}return!0}(t,this.geometries);if("LineString"===t.geometryType())return function(t,e){var r=[1/0,1/0,-1/0,-1/0],n=[1/0,1/0,-1/0,-1/0],i=t.canonicalID();if("Polygon"===e.type){var a=Ee(e.coordinates,n,i),o=Ie(t.geometry(),r,n,i);if(!xe(r,n))return!1;for(var s=0,l=o;s<l.length;s+=1)if(!Ae(l[s],a))return!1}if("MultiPolygon"===e.type){var c=Ce(e.coordinates,n,i),u=Ie(t.geometry(),r,n,i);if(!xe(r,n))return!1;for(var h=0,f=u;h<f.length;h+=1)if(!Se(f[h],c))return!1}return!0}(t,this.geometries)}return!1},ze.prototype.eachChild=function(){},ze.prototype.outputDefined=function(){return!0},ze.prototype.serialize=function(){return["within",this.geojson]};var Fe=function(t,e){this.type=e.type,this.name=t,this.boundExpression=e};Fe.parse=function(t,e){if(2!==t.length||"string"!=typeof t[1])return e.error("'var' expression requires exactly one string literal argument.");var r=t[1];return e.scope.has(r)?new Fe(r,e.scope.get(r)):e.error('Unknown variable "'+r+'". Make sure "'+r+'" has been bound in an enclosing "let" expression before using it.',1)},Fe.prototype.evaluate=function(t){return this.boundExpression.evaluate(t)},Fe.prototype.eachChild=function(){},Fe.prototype.outputDefined=function(){return!1},Fe.prototype.serialize=function(){return["var",this.name]};var Be=function(t,e,r,n,i){void 0===e&&(e=[]),void 0===n&&(n=new zt),void 0===i&&(i=[]),this.registry=t,this.path=e,this.key=e.map((function(t){return"["+t+"]"})).join(""),this.scope=n,this.errors=i,this.expectedType=r};function Ne(t,e){for(var r,n=t.length-1,i=0,a=n,o=0;i<=a;)if((r=t[o=Math.floor((i+a)/2)])<=e){if(o===n||e<t[o+1])return o;i=o+1}else{if(!(r>e))throw new se("Input is not a number.");a=o-1}return 0}Be.prototype.parse=function(t,e,r,n,i){return void 0===i&&(i={}),e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)},Be.prototype._parse=function(t,e){function r(t,e,r){return"assert"===r?new ce(e,[t]):"coerce"===r?new pe(e,[t]):t}if(null!==t&&"string"!=typeof t&&"boolean"!=typeof t&&"number"!=typeof t||(t=["literal",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. If you wanted a literal array, use ["literal", []].');var n=t[0];if("string"!=typeof n)return this.error("Expression name must be a string, but found "+typeof n+' instead. If you wanted a literal array, use ["literal", [...]].',0),null;var i=this.registry[n];if(i){var a=i.parse(t,this);if(!a)return null;if(this.expectedType){var o=this.expectedType,s=a.type;if("string"!==o.kind&&"number"!==o.kind&&"boolean"!==o.kind&&"object"!==o.kind&&"array"!==o.kind||"value"!==s.kind)if("color"!==o.kind&&"formatted"!==o.kind&&"resolvedImage"!==o.kind||"value"!==s.kind&&"string"!==s.kind){if(this.checkSubtype(o,s))return null}else a=r(a,o,e.typeAnnotation||"coerce");else a=r(a,o,e.typeAnnotation||"assert")}if(!(a instanceof oe)&&"resolvedImage"!==a.type.kind&&function t(e){if(e instanceof Fe)return t(e.boundExpression);if(e instanceof me&&"error"===e.name)return!1;if(e instanceof ve)return!1;if(e instanceof ze)return!1;var r=e instanceof pe||e instanceof ce,n=!0;return e.eachChild((function(e){n=r?n&&t(e):n&&e instanceof oe})),!!n&&Oe(e)&&Re(e,["zoom","heatmap-density","line-progress","accumulated","is-supported-script"])}(a)){var l=new ge;try{a=new oe(a.type,a.evaluate(l))}catch(t){return this.error(t.message),null}}return a}return this.error('Unknown expression "'+n+'". If you wanted a literal array, use ["literal", [...]].',0)}return this.error(void 0===t?"'undefined' value invalid. Use null instead.":"object"==typeof t?'Bare objects invalid. Use ["literal", {...}] instead.':"Expected an array, but found "+typeof t+" instead.")},Be.prototype.concat=function(t,e,r){var n="number"==typeof t?this.path.concat(t):this.path,i=r?this.scope.concat(r):this.scope;return new Be(this.registry,n,e||null,i,this.errors)},Be.prototype.error=function(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];var n=""+this.key+e.map((function(t){return"["+t+"]"})).join("");this.errors.push(new It(n,t))},Be.prototype.checkSubtype=function(t,e){var r=Wt(t,e);return r&&this.error(r),r};var je=function(t,e,r){this.type=t,this.input=e,this.labels=[],this.outputs=[];for(var n=0,i=r;n<i.length;n+=1){var a=i[n],o=a[1];this.labels.push(a[0]),this.outputs.push(o)}};function Ue(t,e,r){return t*(1-r)+e*r}je.parse=function(t,e){if(t.length-1<4)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if((t.length-1)%2!=0)return e.error("Expected an even number of arguments.");var r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],i=null;e.expectedType&&"value"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if("number"!=typeof o)return e.error('Input/output pairs for "step" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for "step" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new je(i,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},je.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},je.prototype.serialize=function(){for(var t=["step",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ve=Object.freeze({__proto__:null,number:Ue,color:function(t,e,r){return new Kt(Ue(t.r,e.r,r),Ue(t.g,e.g,r),Ue(t.b,e.b,r),Ue(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return Ue(t,e[n],r)}))}}),qe=6/29*3*(6/29),He=Math.PI/180,Ge=180/Math.PI;function Ye(t){return t>.008856451679035631?Math.pow(t,1/3):t/qe+4/29}function We(t){return t>6/29?t*t*t:qe*(t-4/29)}function Ze(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function Xe(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function Je(t){var e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),i=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ge;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}rr.interpolationFactor=function(t,e,n,i){var a=0;if("exponential"===t.name)a=nr(e,t.base,n,i);else if("linear"===t.name)a=nr(e,1,n,i);else if("cubic-bezier"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,i))}return a},rr.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error("Expected an interpolation type expression.",1);if("linear"===n[0])n={name:"linear"};else if("exponential"===n[0]){var o=n[1];if("number"!=typeof o)return e.error("Exponential interpolation requires a numeric base.",1,1);n={name:"exponential",base:o}}else{if("cubic-bezier"!==n[0])return e.error("Unknown interpolation type "+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return"number"!=typeof t||t<0||t>1})))return e.error("Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.",1);n={name:"cubic-bezier",controlPoints:s}}if(t.length-1<4)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if((t.length-1)%2!=0)return e.error("Expected an even number of arguments.");if(!(i=e.parse(i,2,Dt)))return null;var l=[],c=null;"interpolate-hcl"===r||"interpolate-lab"===r?c=Bt:e.expectedType&&"value"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var h=a[u],f=a[u+1],p=u+3,d=u+4;if("number"!=typeof h)return e.error('Input/output pairs for "interpolate" expressions must be defined using literal numeric values (not computed expressions) for the input values.',p);if(l.length&&l[l.length-1][0]>=h)return e.error('Input/output pairs for "interpolate" expressions must be arranged with input values in strictly ascending order.',p);var g=e.parse(f,d,c);if(!g)return null;c=c||g.type,l.push([h,g])}return"number"===c.kind||"color"===c.kind||"array"===c.kind&&"number"===c.itemType.kind&&"number"==typeof c.N?new rr(c,r,n,i,l):e.error("Type "+Gt(c)+" is not interpolatable.")},rr.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;if(n>=e[i-1])return r[i-1].evaluate(t);var a=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[a],e[a+1]),s=r[a].evaluate(t),l=r[a+1].evaluate(t);return"interpolate"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):"interpolate-hcl"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t="linear"===this.interpolation.name?["linear"]:"exponential"===this.interpolation.name?1===this.interpolation.base?["linear"]:["exponential",this.interpolation.base]:["cubic-bezier"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ir=function(t,e){this.type=t,this.args=e};ir.parse=function(t,e){if(t.length<2)return e.error("Expectected at least one argument.");var r=null,n=e.expectedType;n&&"value"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=e.parse(o[a],1+i.length,r,void 0,{typeAnnotation:"omit"});if(!s)return null;r=r||s.type,i.push(s)}var l=n&&i.some((function(t){return Wt(n,t.type)}));return new ir(l?jt:r,i)},ir.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},ir.prototype.eachChild=function(t){this.args.forEach(t)},ir.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ir.prototype.serialize=function(){var t=["coalesce"];return this.eachChild((function(e){t.push(e.serialize())})),t};var ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};ar.prototype.evaluate=function(t){return this.result.evaluate(t)},ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},ar.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found "+(t.length-1)+" instead.");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if("string"!=typeof i)return e.error("Expected string, but found "+typeof i+" instead.",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error("Variable names must contain only alphanumeric characters or '_'.",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new ar(r,o):null},ar.prototype.outputDefined=function(){return this.result.outputDefined()},ar.prototype.serialize=function(){for(var t=["let"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e];t.push(n[0],n[1].serialize())}return t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se("Array index out of bounds: "+e+" < 0.");if(e>=r.length)throw new se("Array index out of bounds: "+e+" > "+(r.length-1)+".");if(e!==Math.floor(e))throw new se("Array index must be an integer, but found "+e+" instead.");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return["at",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error("Expected 2 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error("Expected first argument to be of type boolean, string, number or null, but found "+Gt(r.type)+" instead"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,["boolean","string","number","null"]))throw new se("Expected first argument to be of type boolean, string, number or null, but found "+Gt(ie(e))+" instead.");if(!Xt(r,["string","array"]))throw new se("Expected second argument to be of type array or string, but found "+Gt(ie(r))+" instead.");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return["in",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error("Expected first argument to be of type boolean, string, number or null, but found "+Gt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Dt);return i?new lr(r,n,i):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,["boolean","string","number","null"]))throw new se("Expected first argument to be of type boolean, string, number or null, but found "+Gt(ie(e))+" instead.");if(!Xt(r,["string","array"]))throw new se("Expected second argument to be of type array or string, but found "+Gt(ie(r))+" instead.");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return["index-of",this.needle.serialize(),this.haystack.serialize(),t]}return["index-of",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};cr.parse=function(t,e){if(t.length<5)return e.error("Expected at least 4 arguments, but found only "+(t.length-1)+".");if(t.length%2!=1)return e.error("Expected an even number of arguments.");var r,n;e.expectedType&&"value"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error("Expected at least one branch label.");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if("number"!=typeof f&&"string"!=typeof f)return c.error("Branch labels must be numbers or strings.");if("number"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error("Branch labels must be integers no larger than "+Number.MAX_SAFE_INTEGER+".");if("number"==typeof f&&Math.floor(f)!==f)return c.error("Numeric branch labels must be integer values.");if(r){if(c.checkSubtype(r,ie(f)))return null}else r=ie(f);if(void 0!==i[String(f)])return c.error("Branch labels must be unique.");i[String(f)]=a.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,a.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?"value"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,i,a,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ie(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=["match",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return"number"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error("Expected at least 3 arguments, but found only "+(t.length-1)+".");if(t.length%2!=0)return e.error("Expected an odd number of arguments.");var r;e.expectedType&&"value"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,Ft);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new ur(r,n,s):null},ur.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[1];if(n[0].evaluate(t))return i.evaluate(t)}return this.otherwise.evaluate(t)},ur.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[1];t(n[0]),t(i)}t(this.otherwise)},ur.prototype.outputDefined=function(){return this.branches.every((function(t){return t[1].outputDefined()}))&&this.otherwise.outputDefined()},ur.prototype.serialize=function(){var t=["case"];return this.eachChild((function(e){t.push(e.serialize())})),t};var hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return"=="===t||"!="===t?"boolean"===e.kind||"string"===e.kind||"number"===e.kind||"null"===e.kind||"value"===e.kind:"string"===e.kind||"number"===e.kind||"value"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n="=="!==t&&"!="!==t;return function(){function i(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument="value"===t.type.kind||"value"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error("Expected two or three arguments.");var r=t[0],a=e.parse(t[1],1,jt);if(!a)return null;if(!fr(r,a.type))return e.concat(1).error('"'+r+"\" comparisons are not supported for type '"+Gt(a.type)+"'.");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('"'+r+"\" comparisons are not supported for type '"+Gt(o.type)+"'.");if(a.type.kind!==o.type.kind&&"value"!==a.type.kind&&"value"!==o.type.kind)return e.error("Cannot compare types '"+Gt(a.type)+"' and '"+Gt(o.type)+"'.");n&&("value"===a.type.kind&&"value"!==o.type.kind?a=new ce(o.type,[a]):"value"!==a.type.kind&&"value"===o.type.kind&&(o=new ce(a.type,[o])));var s=null;if(4===t.length){if("string"!==a.type.kind&&"string"!==o.type.kind&&"value"!==a.type.kind&&"value"!==o.type.kind)return e.error("Cannot use collator to compare non-string types.");if(!(s=e.parse(t[3],3,Ut)))return null}return new i(a,o,s)},i.prototype.evaluate=function(i){var a=this.lhs.evaluate(i),o=this.rhs.evaluate(i);if(n&&this.hasUntypedArgument){var s=ie(a),l=ie(o);if(s.kind!==l.kind||"string"!==s.kind&&"number"!==s.kind)throw new se('Expected arguments for "'+t+'" to be (string, string) or (number, number), but found ('+s.kind+", "+l.kind+") instead.")}if(this.collator&&!n&&this.hasUntypedArgument){var c=ie(a),u=ie(o);if("string"!==c.kind||"string"!==u.kind)return e(i,a,o)}return this.collator?r(i,a,o,this.collator.evaluate(i)):e(i,a,o)},i.prototype.eachChild=function(t){t(this.lhs),t(this.rhs),this.collator&&t(this.collator)},i.prototype.outputDefined=function(){return!0},i.prototype.serialize=function(){var e=[t];return this.eachChild((function(t){e.push(t.serialize())})),e},i}()}hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error("Expected 3 or 4 arguments, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,Dt);if(!r||!n)return null;if(!Zt(r.type,[Ht(jt),Rt,jt]))return e.error("Expected first argument to be of type array or string, but found "+Gt(r.type)+" instead");if(4===t.length){var i=e.parse(t[3],3,Dt);return i?new hr(r.type,r,n,i):null}return new hr(r.type,r,n)},hr.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!Xt(e,["string","array"]))throw new se("Expected first argument to be of type array or string, but found "+Gt(ie(e))+" instead.");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},hr.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return["slice",this.input.serialize(),this.beginIndex.serialize(),t]}return["slice",this.input.serialize(),this.beginIndex.serialize()]};var gr=dr("==",(function(t,e,r){return e===r}),pr),mr=dr("!=",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!pr(0,e,r,n)})),vr=dr("<",(function(t,e,r){return e<r}),(function(t,e,r,n){return n.compare(e,r)<0})),yr=dr(">",(function(t,e,r){return e>r}),(function(t,e,r,n){return n.compare(e,r)>0})),xr=dr("<=",(function(t,e,r){return e<=r}),(function(t,e,r,n){return n.compare(e,r)<=0})),br=dr(">=",(function(t,e,r){return e>=r}),(function(t,e,r,n){return n.compare(e,r)>=0})),_r=function(t,e,r,n,i){this.type=Rt,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i};_r.parse=function(t,e){if(3!==t.length)return e.error("Expected two arguments.");var r=e.parse(t[1],1,Dt);if(!r)return null;var n=t[2];if("object"!=typeof n||Array.isArray(n))return e.error("NumberFormat options argument must be an object.");var i=null;if(n.locale&&!(i=e.parse(n.locale,1,Rt)))return null;var a=null;if(n.currency&&!(a=e.parse(n.currency,1,Rt)))return null;var o=null;if(n["min-fraction-digits"]&&!(o=e.parse(n["min-fraction-digits"],1,Dt)))return null;var s=null;return n["max-fraction-digits"]&&!(s=e.parse(n["max-fraction-digits"],1,Dt))?null:new _r(r,i,a,o,s)},_r.prototype.evaluate=function(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?"currency":"decimal",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))},_r.prototype.eachChild=function(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)},_r.prototype.outputDefined=function(){return!1},_r.prototype.serialize=function(){var t={};return this.locale&&(t.locale=this.locale.serialize()),this.currency&&(t.currency=this.currency.serialize()),this.minFractionDigits&&(t["min-fraction-digits"]=this.minFractionDigits.serialize()),this.maxFractionDigits&&(t["max-fraction-digits"]=this.maxFractionDigits.serialize()),["number-format",this.number.serialize(),t]};var wr=function(t){this.type=Dt,this.input=t};wr.parse=function(t,e){if(2!==t.length)return e.error("Expected 1 argument, but found "+(t.length-1)+" instead.");var r=e.parse(t[1],1);return r?"array"!==r.type.kind&&"string"!==r.type.kind&&"value"!==r.type.kind?e.error("Expected argument of type string or array, but found "+Gt(r.type)+" instead."):new wr(r):null},wr.prototype.evaluate=function(t){var e=this.input.evaluate(t);if("string"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new se("Expected value to be of type string or array, but found "+Gt(ie(e))+" instead.")},wr.prototype.eachChild=function(t){t(this.input)},wr.prototype.outputDefined=function(){return!1},wr.prototype.serialize=function(){var t=["length"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Tr={"==":gr,"!=":mr,">":yr,"<":vr,">=":br,"<=":xr,array:ce,at:or,boolean:ce,case:ur,coalesce:ir,collator:ve,format:ue,image:he,in:sr,"index-of":lr,interpolate:rr,"interpolate-hcl":rr,"interpolate-lab":rr,length:wr,let:ar,literal:oe,match:cr,number:ce,"number-format":_r,object:ce,slice:hr,step:je,string:ce,"to-boolean":pe,"to-color":pe,"to-number":pe,"to-string":pe,var:Fe,within:ze};function kr(t,e){var r=e[0],n=e[1],i=e[2],a=e[3];r=r.evaluate(t),n=n.evaluate(t),i=i.evaluate(t);var o=a?a.evaluate(t):1,s=re(r,n,i,o);if(s)throw new se(s);return new Kt(r/255*o,n/255*o,i/255*o,o)}function Mr(t,e){return t in e}function Ar(t,e){var r=e[t];return void 0===r?null:r}function Sr(t){return{type:t}}function Er(t){return{result:"success",value:t}}function Cr(t){return{result:"error",value:t}}function Lr(t){return"data-driven"===t["property-type"]||"cross-faded-data-driven"===t["property-type"]}function Pr(t){return!!t.expression&&t.expression.parameters.indexOf("zoom")>-1}function Ir(t){return!!t.expression&&t.expression.interpolated}function zr(t){return t instanceof Number?"number":t instanceof String?"string":t instanceof Boolean?"boolean":Array.isArray(t)?"array":null===t?"null":typeof t}function Or(t){return"object"==typeof t&&null!==t&&!Array.isArray(t)}function Dr(t){return t}function Rr(t,e,r){return void 0!==t?t:void 0!==e?e:void 0!==r?r:void 0}function Fr(t,e,r,n,i){return Rr(typeof r===i?n[r]:void 0,t.default,e.default)}function Br(t,e,r){if("number"!==zr(r))return Rr(t.default,e.default);var n=t.stops.length;if(1===n)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[n-1][0])return t.stops[n-1][1];var i=Ne(t.stops.map((function(t){return t[0]})),r);return t.stops[i][1]}function Nr(t,e,r){var n=void 0!==t.base?t.base:1;if("number"!==zr(r))return Rr(t.default,e.default);var i=t.stops.length;if(1===i)return t.stops[0][1];if(r<=t.stops[0][0])return t.stops[0][1];if(r>=t.stops[i-1][0])return t.stops[i-1][1];var a=Ne(t.stops.map((function(t){return t[0]})),r),o=function(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}(r,n,t.stops[a][0],t.stops[a+1][0]),s=t.stops[a][1],l=t.stops[a+1][1],c=Ve[e.type]||Dr;if(t.colorSpace&&"rgb"!==t.colorSpace){var u=er[t.colorSpace];c=function(t,e){return u.reverse(u.interpolate(u.forward(t),u.forward(e),o))}}return"function"==typeof s.evaluate?{evaluate:function(){for(var t=[],e=arguments.length;e--;)t[e]=arguments[e];var r=s.evaluate.apply(void 0,t),n=l.evaluate.apply(void 0,t);if(void 0!==r&&void 0!==n)return c(r,n,o)}}:c(s,l,o)}function jr(t,e,r){return"color"===e.type?r=Kt.parse(r):"formatted"===e.type?r=te.fromString(r.toString()):"resolvedImage"===e.type?r=ee.fromString(r.toString()):zr(r)===e.type||"enum"===e.type&&e.values[r]||(r=void 0),Rr(r,t.default,e.default)}me.register(Tr,{error:[{kind:"error"},[Rt],function(t,e){throw new se(e[0].evaluate(t))}],typeof:[Rt,[jt],function(t,e){return Gt(ie(e[0].evaluate(t)))}],"to-rgba":[Ht(Dt,4),[Bt],function(t,e){return e[0].evaluate(t).toArray()}],rgb:[Bt,[Dt,Dt,Dt],kr],rgba:[Bt,[Dt,Dt,Dt,Dt],kr],has:{type:Ft,overloads:[[[Rt],function(t,e){return Mr(e[0].evaluate(t),t.properties())}],[[Rt,Nt],function(t,e){var r=e[1];return Mr(e[0].evaluate(t),r.evaluate(t))}]]},get:{type:jt,overloads:[[[Rt],function(t,e){return Ar(e[0].evaluate(t),t.properties())}],[[Rt,Nt],function(t,e){var r=e[1];return Ar(e[0].evaluate(t),r.evaluate(t))}]]},"feature-state":[jt,[Rt],function(t,e){return Ar(e[0].evaluate(t),t.featureState||{})}],properties:[Nt,[],function(t){return t.properties()}],"geometry-type":[Rt,[],function(t){return t.geometryType()}],id:[jt,[],function(t){return t.id()}],zoom:[Dt,[],function(t){return t.globals.zoom}],"heatmap-density":[Dt,[],function(t){return t.globals.heatmapDensity||0}],"line-progress":[Dt,[],function(t){return t.globals.lineProgress||0}],accumulated:[jt,[],function(t){return void 0===t.globals.accumulated?null:t.globals.accumulated}],"+":[Dt,Sr(Dt),function(t,e){for(var r=0,n=0,i=e;n<i.length;n+=1)r+=i[n].evaluate(t);return r}],"*":[Dt,Sr(Dt),function(t,e){for(var r=1,n=0,i=e;n<i.length;n+=1)r*=i[n].evaluate(t);return r}],"-":{type:Dt,overloads:[[[Dt,Dt],function(t,e){var r=e[1];return e[0].evaluate(t)-r.evaluate(t)}],[[Dt],function(t,e){return-e[0].evaluate(t)}]]},"/":[Dt,[Dt,Dt],function(t,e){var r=e[1];return e[0].evaluate(t)/r.evaluate(t)}],"%":[Dt,[Dt,Dt],function(t,e){var r=e[1];return e[0].evaluate(t)%r.evaluate(t)}],ln2:[Dt,[],function(){return Math.LN2}],pi:[Dt,[],function(){return Math.PI}],e:[Dt,[],function(){return Math.E}],"^":[Dt,[Dt,Dt],function(t,e){var r=e[1];return Math.pow(e[0].evaluate(t),r.evaluate(t))}],sqrt:[Dt,[Dt],function(t,e){return Math.sqrt(e[0].evaluate(t))}],log10:[Dt,[Dt],function(t,e){return Math.log(e[0].evaluate(t))/Math.LN10}],ln:[Dt,[Dt],function(t,e){return Math.log(e[0].evaluate(t))}],log2:[Dt,[Dt],function(t,e){return Math.log(e[0].evaluate(t))/Math.LN2}],sin:[Dt,[Dt],function(t,e){return Math.sin(e[0].evaluate(t))}],cos:[Dt,[Dt],function(t,e){return Math.cos(e[0].evaluate(t))}],tan:[Dt,[Dt],function(t,e){return Math.tan(e[0].evaluate(t))}],asin:[Dt,[Dt],function(t,e){return Math.asin(e[0].evaluate(t))}],acos:[Dt,[Dt],function(t,e){return Math.acos(e[0].evaluate(t))}],atan:[Dt,[Dt],function(t,e){return Math.atan(e[0].evaluate(t))}],min:[Dt,Sr(Dt),function(t,e){return Math.min.apply(Math,e.map((function(e){return e.evaluate(t)})))}],max:[Dt,Sr(Dt),function(t,e){return Math.max.apply(Math,e.map((function(e){return e.evaluate(t)})))}],abs:[Dt,[Dt],function(t,e){return Math.abs(e[0].evaluate(t))}],round:[Dt,[Dt],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[Dt,[Dt],function(t,e){return Math.floor(e[0].evaluate(t))}],ceil:[Dt,[Dt],function(t,e){return Math.ceil(e[0].evaluate(t))}],"filter-==":[Ft,[Rt,jt],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],"filter-id-==":[Ft,[jt],function(t,e){var r=e[0];return t.id()===r.value}],"filter-type-==":[Ft,[Rt],function(t,e){var r=e[0];return t.geometryType()===r.value}],"filter-<":[Ft,[Rt,jt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i<a}],"filter-id-<":[Ft,[jt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n<i}],"filter->":[Ft,[Rt,jt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i>a}],"filter-id->":[Ft,[jt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n>i}],"filter-<=":[Ft,[Rt,jt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i<=a}],"filter-id-<=":[Ft,[jt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n<=i}],"filter->=":[Ft,[Rt,jt],function(t,e){var r=e[0],n=e[1],i=t.properties()[r.value],a=n.value;return typeof i==typeof a&&i>=a}],"filter-id->=":[Ft,[jt],function(t,e){var r=e[0],n=t.id(),i=r.value;return typeof n==typeof i&&n>=i}],"filter-has":[Ft,[jt],function(t,e){return e[0].value in t.properties()}],"filter-has-id":[Ft,[],function(t){return null!==t.id()&&void 0!==t.id()}],"filter-type-in":[Ft,[Ht(Rt)],function(t,e){return e[0].value.indexOf(t.geometryType())>=0}],"filter-id-in":[Ft,[Ht(jt)],function(t,e){return e[0].value.indexOf(t.id())>=0}],"filter-in-small":[Ft,[Rt,Ht(jt)],function(t,e){var r=e[0];return e[1].value.indexOf(t.properties()[r.value])>=0}],"filter-in-large":[Ft,[Rt,Ht(jt)],function(t,e){var r=e[0],n=e[1];return function(t,e,r,n){for(;r<=n;){var i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[r.value],n.value,0,n.value.length-1)}],all:{type:Ft,overloads:[[[Ft,Ft],function(t,e){var r=e[1];return e[0].evaluate(t)&&r.evaluate(t)}],[Sr(Ft),function(t,e){for(var r=0,n=e;r<n.length;r+=1)if(!n[r].evaluate(t))return!1;return!0}]]},any:{type:Ft,overloads:[[[Ft,Ft],function(t,e){var r=e[1];return e[0].evaluate(t)||r.evaluate(t)}],[Sr(Ft),function(t,e){for(var r=0,n=e;r<n.length;r+=1)if(n[r].evaluate(t))return!0;return!1}]]},"!":[Ft,[Ft],function(t,e){return!e[0].evaluate(t)}],"is-supported-script":[Ft,[Rt],function(t,e){var r=t.globals&&t.globals.isSupportedScript;return!r||r(e[0].evaluate(t))}],upcase:[Rt,[Rt],function(t,e){return e[0].evaluate(t).toUpperCase()}],downcase:[Rt,[Rt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Rt,Sr(jt),function(t,e){return e.map((function(e){return ae(e.evaluate(t))})).join("")}],"resolved-locale":[Rt,[Ut],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var Ur=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new ge,this._defaultValue=e?function(t){return"color"===t.type&&Or(t.default)?new Kt(0,0,0,0):"color"===t.type?Kt.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&"enum"===e.type?e.values:null};function Vr(t){return Array.isArray(t)&&t.length>0&&"string"==typeof t[0]&&t[0]in Tr}function qr(t,e){var r=new Be(Tr,[],e?function(t){var e={color:Bt,string:Rt,number:Dt,enum:Rt,boolean:Ft,formatted:Vt,resolvedImage:qt};return"array"===t.type?Ht(e[t.value]||jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&"string"===e.type?{typeAnnotation:"coerce"}:void 0);return n?Er(new Ur(n,e)):Cr(r.errors)}Ur.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},Ur.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||"number"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new se("Expected value to be one of "+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(", ")+", but found "+JSON.stringify(o)+" instead.");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,"undefined"!=typeof console&&console.warn(t.message)),this._defaultValue}};var Hr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent="constant"!==t&&!De(e.expression)};Hr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Hr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Gr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent="camera"!==t&&!De(e.expression),this.interpolationType=n};function Yr(t,e){if("error"===(t=qr(t,e)).result)return t;var r=t.value.expression,n=Oe(r);if(!n&&!Lr(e))return Cr([new It("","data expressions not supported")]);var i=Re(r,["zoom"]);if(!i&&!Pr(e))return Cr([new It("","zoom expressions not supported")]);var a=function t(e){var r=null;if(e instanceof ar)r=t(e.result);else if(e instanceof ir)for(var n=0,i=e.args;n<i.length&&!(r=t(i[n]));n+=1);else(e instanceof je||e instanceof rr)&&e.input instanceof me&&"zoom"===e.input.name&&(r=e);return r instanceof It||e.eachChild((function(e){var n=t(e);n instanceof It?r=n:!r&&n?r=new It("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.'):r&&n&&r!==n&&(r=new It("",'Only one zoom-based "step" or "interpolate" subexpression may be used in an expression.'))})),r}(r);return a||i?a instanceof It?Cr([a]):a instanceof rr&&!Ir(e)?Cr([new It("",'"interpolate" expressions cannot be used with this property')]):Er(a?new Gr(n?"camera":"composite",t.value,a.labels,a instanceof rr?a.interpolation:void 0):new Hr(n?"constant":"source",t.value)):Cr([new It("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" expression.')])}Gr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Gr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,i,a,o="color"===r.type,s=e.stops&&"object"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?"exponential":"interval");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&"rgb"!==e.colorSpace&&!er[e.colorSpace])throw new Error("Unknown color space: "+e.colorSpace);if("exponential"===c)n=Nr;else if("interval"===c)n=Br;else if("categorical"===c){n=Fr,i=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];i[f[0]]=f[1]}a=typeof e.stops[0][0]}else{if("identity"!==c)throw new Error('Unknown function type "'+c+'"');n=jr}if(s){for(var p={},d=[],g=0;g<e.stops.length;g++){var m=e.stops[g],v=m[0].zoom;void 0===p[v]&&(p[v]={zoom:v,type:e.type,property:e.property,default:e.default,stops:[]},d.push(v)),p[v].stops.push([m[0].value,m[1]])}for(var y=[],x=0,b=d;x<b.length;x+=1){var _=b[x];y.push([p[_].zoom,t(p[_],r)])}var w={name:"linear"};return{kind:"composite",interpolationType:w,interpolationFactor:rr.interpolationFactor.bind(void 0,w),zoomStops:y.map((function(t){return t[0]})),evaluate:function(t,n){var i=t.zoom;return Nr({stops:y,base:e.base},r,i).evaluate(i,n)}}}if(l){var T="exponential"===c?{name:"exponential",base:void 0!==e.base?e.base:1}:null;return{kind:"camera",interpolationType:T,interpolationFactor:rr.interpolationFactor.bind(void 0,T),zoomStops:e.stops.map((function(t){return t[0]})),evaluate:function(t){return n(e,r,t.zoom,i,a)}}}return{kind:"source",evaluate:function(t,o){var s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,i,a)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=zr(r);if("object"!==l)return[new St(e,r,"object expected, "+l+" found")];for(var c in r){var u=c.split(".")[0],h=n[u]||n["*"],f=void 0;if(i[u])f=i[u];else if(n[u])f=bn;else if(i["*"])f=i["*"];else{if(!n["*"]){s.push(new St(e,r[c],'unknown property "'+c+'"'));continue}f=bn}s=s.concat(f({key:(e?e+".":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property "'+p+'"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||bn;if("array"!==zr(e))return[new St(a,e,"array expected, "+zr(e)+" found")];if(r.length&&e.length!==r.length)return[new St(a,e,"array length "+r.length+" expected, length "+e.length+" found")];if(r["min-length"]&&e.length<r["min-length"])return[new St(a,e,"array length at least "+r["min-length"]+" expected, length "+e.length+" found")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),"object"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+"["+c+"]"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,i=zr(r);return"number"===i&&r!=r&&(i="NaN"),"number"!==i?[new St(e,r,"number expected, "+i+" found")]:"minimum"in n&&r<n.minimum?[new St(e,r,r+" is less than the minimum value "+n.minimum)]:"maximum"in n&&r>n.maximum?[new St(e,r,r+" is greater than the maximum value "+n.maximum)]:[]}function Kr(t){var e,r,n,i=t.valueSpec,a=Lt(t.value.type),o={},s="categorical"!==a&&void 0===t.value.property,l=!s,c="array"===zr(t.value.stops)&&"array"===zr(t.value.stops[0])&&"object"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===a)return[new St(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),"array"===zr(r)&&0===r.length&&e.push(new St(t.key,r,"array must have at least one stop")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===a&&s&&u.push(new St(t.key,t.value,'missing required property "property"')),"identity"===a||t.value.stops||u.push(new St(t.key,t.value,'missing required property "stops"')),"exponential"===a&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,"property functions not supported")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,"zoom functions not supported"))),"categorical"!==a&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'"property" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if("array"!==zr(a))return[new St(s,a,"array expected, "+zr(a)+" found")];if(2!==a.length)return[new St(s,a,"array length 2 expected, length "+a.length+" found")];if(c){if("object"!==zr(a[0]))return[new St(s,a,"object expected, "+zr(a[0])+" found")];if(void 0===a[0].zoom)return[new St(s,a,"object stop key must have zoom")];if(void 0===a[0].value)return[new St(s,a,"object stop key must have value")];if(n&&n>Lt(a[0].zoom))return[new St(s,a[0].zoom,"stop zoom values must appear in ascending order")];Lt(a[0].zoom)!==n&&(n=Lt(a[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+"[0]",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+"[0]",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Vr(Pt(a[1]))?e.concat([new St(s+"[1]",a[1],"expressions are not allowed in function stops.")]):e.concat(bn({key:s+"[1]",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new St(t.key,c,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==a){var u="number expected, "+s+" found";return Lr(i)&&void 0===a&&(u+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new St(t.key,c,u)]}return"categorical"!==a||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==a&&"number"===s&&void 0!==r&&l<r?[new St(t.key,c,"stop domain values must appear in ascending order")]:(r=l,"categorical"===a&&l in o?[new St(t.key,c,"stop domain values must be unique")]:(o[l]=!0,[])):[new St(t.key,c,"integer expected, found "+l)]}}function Qr(t){var e=("property"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if("error"===e.result)return e.value.map((function(e){return new St(""+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!De(r))return[new St(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!Re(r,["zoom","feature-state"]))return[new St(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&i.push(new St(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" found")):-1===Object.keys(n.values).indexOf(Lt(r))&&i.push(new St(e,r,"expected one of ["+Object.keys(n.values).join(", ")+"], "+JSON.stringify(r)+" found")),i}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case"has":return t.length>=2&&"$id"!==t[1]&&"$type"!==t[1];case"in":return t.length>=3&&("string"!=typeof t[1]||Array.isArray(t[2]));case"!in":case"!has":case"none":return!1;case"==":case"!=":case">":case">=":case"<":case"<=":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case"any":case"all":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&"boolean"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:"boolean",default:!1,transition:!1,"property-type":"data-driven",expression:{interpolated:!1,parameters:["zoom","feature"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if("within"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?on(t[1],t[2],"=="):"!="===r?cn(on(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?on(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(an))):"all"===r?["all"].concat(t.slice(1).map(an)):"none"===r?["all"].concat(t.slice(1).map(an).map(cn)):"in"===r?sn(t[1],t.slice(2)):"!in"===r?cn(sn(t[1],t.slice(2))):"has"===r?ln(t[1]):"!has"===r?cn(ln(t[1])):"within"!==r||t}function on(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?["filter-in-large",t,["literal",e.sort(nn)]]:["filter-in-small",t,["literal",e]]}}function ln(t){switch(t){case"$type":return!0;case"$id":return["filter-has-id"];default:return["filter-has",t]}}function cn(t){return["!",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:"filter",valueSpec:{value:"boolean"}})):function t(e){var r=e.value,n=e.key;if("array"!==zr(r))return[new St(n,r,"array expected, "+zr(r)+" found")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,"filter array must have at least 1 element")];switch(o=o.concat($r({key:n+"[0]",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case"<":case"<=":case">":case">=":r.length>=2&&"$type"===Lt(r[1])&&o.push(new St(n,r,'"$type" cannot be use with operator "'+r[0]+'"'));case"==":case"!=":3!==r.length&&o.push(new St(n,r,'filter array for operator "'+r[0]+'" must have 3 elements'));case"in":case"!in":r.length>=2&&"string"!==(i=zr(r[1]))&&o.push(new St(n+"[1]",r[1],"string expected, "+i+" found"));for(var s=2;s<r.length;s++)i=zr(r[s]),"$type"===Lt(r[1])?o=o.concat($r({key:n+"["+s+"]",value:r[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):"string"!==i&&"number"!==i&&"boolean"!==i&&o.push(new St(n+"["+s+"]",r[s],"string, number, or boolean expected, "+i+" found"));break;case"any":case"all":case"none":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+"["+l+"]",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case"has":case"!has":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new St(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new St(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,a,'unknown property "'+o+'"')];if("string"===zr(a)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new St(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var h=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&h.push(new St(r,a,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&Or(Pt(a))&&"identity"===Lt(a.type)&&h.push(new St(r,a,'"text-font" does not support identity functions'))),h.concat(bn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:"property",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,"paint")}function pn(t){return hn(t,"layout")}function dn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either "type" or "ref" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+h.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach((function(t){t in r&&e.push(new St(n,r[t],'"'+t+'" is prohibited for ref layers'))})),i.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,"ref cannot reference another ref layer")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer "'+l+'" not found'));else if("background"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Lt(f.type);f?"vector"===p&&"raster"===s?e.push(new St(n,r.source,'layer "'+r.id+'" requires a raster source')):"raster"===p&&"raster"!==s?e.push(new St(n,r.source,'layer "'+r.id+'" requires a vector source')):"vector"!==p||r["source-layer"]?"raster-dem"===p&&"hillshade"!==s?e.push(new St(n,r.source,"raster-dem source can only be used with layer type 'hillshade'.")):"line"!==s||!r.paint||!r.paint["line-gradient"]||"geojson"===p&&f.lineMetrics||e.push(new St(n,r,'layer "'+r.id+'" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer "'+r.id+'" must specify a "source-layer"')):e.push(new St(n,r.source,'source "'+r.source+'" not found'))}else e.push(new St(n,r,'missing required property "source"'));return e=e.concat(Zr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return bn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return"string"!==n?[new St(r,e,"string expected, "+n+" found")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if("string"===zr(r))return gn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,gn({key:e+"."+i,value:r[i]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new St(r,e,'"type" is required')];var a,o=Lt(e.type);switch(o){case"vector":case"raster":case"raster-dem":return Zr({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:mn});case"geojson":if(a=Zr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u="string"==typeof c?[c,["accumulated"],["get",s]]:c;a.push.apply(a,Qr({key:r+"."+s+".map",value:l[1],expressionContext:"cluster-map"})),a.push.apply(a,Qr({key:r+"."+s+".reduce",value:u,expressionContext:"cluster-reduce"}))}return a;case"video":return Zr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return Zr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new St(r,null,"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.","source.canvas")];default:return $r({key:r+".type",value:e.type,valueSpec:{values:["vector","raster","raster-dem","geojson","video","image"]},style:i,styleSpec:n})}}function yn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=zr(e);if(void 0===e)return a;if("object"!==o)return a.concat([new St("light",e,"object expected, "+o+" found")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=a.concat(l&&n[l[1]]&&n[l[1]].transition?bn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r}):n[s]?bn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r}):[new St(s,e[s],'unknown property "'+s+'"')])}return a}var xn={"*":function(){return[]},array:Xr,boolean:function(t){var e=t.value,r=t.key,n=zr(e);return"boolean"!==n?[new St(r,e,"boolean expected, "+n+" found")]:[]},number:Jr,color:function(t){var e=t.key,r=t.value,n=zr(r);return"string"!==n?[new St(e,r,"color expected, "+n+" found")]:null===Jt(r)?[new St(e,r,'color expected, "'+r+'" found')]:[]},constants:Et,enum:$r,filter:un,function:Kr,layer:dn,object:Zr,source:vn,light:yn,string:gn,formatted:function(t){return 0===gn(t).length?[]:Qr(t)},resolvedImage:function(t){return 0===gn(t).length?[]:Qr(t)}};function bn(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&Or(Lt(e))?Kr(t):r.expression&&Vr(Pt(e))?Qr(t):r.type&&xn[r.type]?xn[r.type](t):Zr(Ct({},t,{valueSpec:r.type?n[r.type]:r}))}function _n(t){var e=t.value,r=t.key,n=gn(t);return n.length||(-1===e.indexOf("{fontstack}")&&n.push(new St(r,e,'"glyphs" url must include a "{fontstack}" token')),-1===e.indexOf("{range}")&&n.push(new St(r,e,'"glyphs" url must include a "{range}" token'))),n}function wn(t,e){void 0===e&&(e=At);var r=[];return r=r.concat(bn({key:"",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:_n,"*":function(){return[]}}})),t.constants&&(r=r.concat(Et({key:"constants",value:t.constants,style:t,styleSpec:e}))),Tn(r)}function Tn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function kn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Tn(t.apply(this,e))}}wn.source=kn(vn),wn.light=kn(yn),wn.layer=kn(dn),wn.filter=kn(un),wn.paintProperty=kn(fn),wn.layoutProperty=kn(pn);var Mn=wn,An=Mn.light,Sn=Mn.paintProperty,En=Mn.layoutProperty;function Cn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1)t.fire(new kt(new Error(i[n].message))),r=!0;return r}var Ln=Pn;function Pn(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],this.d=(e=i[1])+2*(r=i[2]);for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length+1];this.keys=i.subarray(i[3+n.length],l),this.bboxes=i.subarray(l),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var u=r/e*t;this.min=-u,this.max=t+u}Pn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Pn.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},Pn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Pn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Pn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var f=l[h];if(void 0===o[f]){var p=4*f;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[f]=!0,a.push(c[f])):o[f]=!1}}},Pn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Pn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Pn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Pn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),i[3+t.length+1]=a+=this.keys.length,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var In=self.ImageData,zn=self.ImageBitmap,On={};function Dn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),On[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var Rn in Dn("Object",Object),Ln.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Ln.deserialize=function(t){return new Ln(t.buffer)},Dn("Grid",Ln),Dn("Color",Kt),Dn("Error",Error),Dn("ResolvedImage",ee),Dn("StylePropertyFunction",Wr),Dn("StyleExpression",Ur,{omit:["_evaluator"]}),Dn("ZoomDependentExpression",Gr),Dn("ZoomConstantExpression",Hr),Dn("CompoundExpression",me,{omit:["_evaluate"]}),Tr)Tr[Rn]._classRegistryKey||Dn("Expression_"+Rn,Tr[Rn]);function Fn(t){return t&&"undefined"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&"ArrayBuffer"===t.constructor.name)}function Bn(t){return zn&&t instanceof zn}function Nn(t,e){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(Fn(t)||Bn(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof In)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1)n.push(Nn(a[i],e));return n}if("object"==typeof t){var o=t.constructor,s=o._classRegistryKey;if(!s)throw new Error("can't serialize object of unregistered class");var l=o.serialize?o.serialize(t,e):{};if(!o.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(On[s].omit.indexOf(c)>=0)){var u=t[c];l[c]=On[s].shallow.indexOf(c)>=0?u:Nn(u,e)}t instanceof Error&&(l.message=t.message)}if(l.$name)throw new Error("$name property is reserved for worker serialization logic.");return"Object"!==s&&(l.$name=s),l}throw new Error("can't serialize object of type "+typeof t)}function jn(t){if(null==t||"boolean"==typeof t||"number"==typeof t||"string"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||Fn(t)||Bn(t)||ArrayBuffer.isView(t)||t instanceof In)return t;if(Array.isArray(t))return t.map(jn);if("object"==typeof t){var e=t.$name||"Object",r=On[e].klass;if(!r)throw new Error("can't deserialize unregistered class "+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if("$name"!==o){var s=t[o];n[o]=On[e].shallow.indexOf(o)>=0?s:jn(s)}}return n}throw new Error("can't deserialize object of type "+typeof t)}var Un=function(){this.first=!0};Un.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var Vn={"Latin-1 Supplement":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},"Arabic Supplement":function(t){return t>=1872&&t<=1919},"Arabic Extended-A":function(t){return t>=2208&&t<=2303},"Hangul Jamo":function(t){return t>=4352&&t<=4607},"Unified Canadian Aboriginal Syllabics":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},"Unified Canadian Aboriginal Syllabics Extended":function(t){return t>=6320&&t<=6399},"General Punctuation":function(t){return t>=8192&&t<=8303},"Letterlike Symbols":function(t){return t>=8448&&t<=8527},"Number Forms":function(t){return t>=8528&&t<=8591},"Miscellaneous Technical":function(t){return t>=8960&&t<=9215},"Control Pictures":function(t){return t>=9216&&t<=9279},"Optical Character Recognition":function(t){return t>=9280&&t<=9311},"Enclosed Alphanumerics":function(t){return t>=9312&&t<=9471},"Geometric Shapes":function(t){return t>=9632&&t<=9727},"Miscellaneous Symbols":function(t){return t>=9728&&t<=9983},"Miscellaneous Symbols and Arrows":function(t){return t>=11008&&t<=11263},"CJK Radicals Supplement":function(t){return t>=11904&&t<=12031},"Kangxi Radicals":function(t){return t>=12032&&t<=12255},"Ideographic Description Characters":function(t){return t>=12272&&t<=12287},"CJK Symbols and Punctuation":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},"Hangul Compatibility Jamo":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},"Bopomofo Extended":function(t){return t>=12704&&t<=12735},"CJK Strokes":function(t){return t>=12736&&t<=12783},"Katakana Phonetic Extensions":function(t){return t>=12784&&t<=12799},"Enclosed CJK Letters and Months":function(t){return t>=12800&&t<=13055},"CJK Compatibility":function(t){return t>=13056&&t<=13311},"CJK Unified Ideographs Extension A":function(t){return t>=13312&&t<=19903},"Yijing Hexagram Symbols":function(t){return t>=19904&&t<=19967},"CJK Unified Ideographs":function(t){return t>=19968&&t<=40959},"Yi Syllables":function(t){return t>=40960&&t<=42127},"Yi Radicals":function(t){return t>=42128&&t<=42191},"Hangul Jamo Extended-A":function(t){return t>=43360&&t<=43391},"Hangul Syllables":function(t){return t>=44032&&t<=55215},"Hangul Jamo Extended-B":function(t){return t>=55216&&t<=55295},"Private Use Area":function(t){return t>=57344&&t<=63743},"CJK Compatibility Ideographs":function(t){return t>=63744&&t<=64255},"Arabic Presentation Forms-A":function(t){return t>=64336&&t<=65023},"Vertical Forms":function(t){return t>=65040&&t<=65055},"CJK Compatibility Forms":function(t){return t>=65072&&t<=65103},"Small Form Variants":function(t){return t>=65104&&t<=65135},"Arabic Presentation Forms-B":function(t){return t>=65136&&t<=65279},"Halfwidth and Fullwidth Forms":function(t){return t>=65280&&t<=65519}};function qn(t){for(var e=0,r=t;e<r.length;e+=1)if(Hn(r[e].charCodeAt(0)))return!0;return!1}function Hn(t){return!(746!==t&&747!==t&&(t<4352||!(Vn["Bopomofo Extended"](t)||Vn.Bopomofo(t)||Vn["CJK Compatibility Forms"](t)&&!(t>=65097&&t<=65103)||Vn["CJK Compatibility Ideographs"](t)||Vn["CJK Compatibility"](t)||Vn["CJK Radicals Supplement"](t)||Vn["CJK Strokes"](t)||!(!Vn["CJK Symbols and Punctuation"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||Vn["CJK Unified Ideographs Extension A"](t)||Vn["CJK Unified Ideographs"](t)||Vn["Enclosed CJK Letters and Months"](t)||Vn["Hangul Compatibility Jamo"](t)||Vn["Hangul Jamo Extended-A"](t)||Vn["Hangul Jamo Extended-B"](t)||Vn["Hangul Jamo"](t)||Vn["Hangul Syllables"](t)||Vn.Hiragana(t)||Vn["Ideographic Description Characters"](t)||Vn.Kanbun(t)||Vn["Kangxi Radicals"](t)||Vn["Katakana Phonetic Extensions"](t)||Vn.Katakana(t)&&12540!==t||!(!Vn["Halfwidth and Fullwidth Forms"](t)||65288===t||65289===t||65293===t||t>=65306&&t<=65310||65339===t||65341===t||65343===t||t>=65371&&t<=65503||65507===t||t>=65512&&t<=65519)||!(!Vn["Small Form Variants"](t)||t>=65112&&t<=65118||t>=65123&&t<=65126)||Vn["Unified Canadian Aboriginal Syllabics"](t)||Vn["Unified Canadian Aboriginal Syllabics Extended"](t)||Vn["Vertical Forms"](t)||Vn["Yijing Hexagram Symbols"](t)||Vn["Yi Syllables"](t)||Vn["Yi Radicals"](t))))}function Gn(t){return!(Hn(t)||function(t){return!!(Vn["Latin-1 Supplement"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||Vn["General Punctuation"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||Vn["Letterlike Symbols"](t)||Vn["Number Forms"](t)||Vn["Miscellaneous Technical"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||Vn["Control Pictures"](t)&&9251!==t||Vn["Optical Character Recognition"](t)||Vn["Enclosed Alphanumerics"](t)||Vn["Geometric Shapes"](t)||Vn["Miscellaneous Symbols"](t)&&!(t>=9754&&t<=9759)||Vn["Miscellaneous Symbols and Arrows"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||Vn["CJK Symbols and Punctuation"](t)||Vn.Katakana(t)||Vn["Private Use Area"](t)||Vn["CJK Compatibility Forms"](t)||Vn["Small Form Variants"](t)||Vn["Halfwidth and Fullwidth Forms"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function Yn(t){return t>=1424&&t<=2303||Vn["Arabic Presentation Forms-A"](t)||Vn["Arabic Presentation Forms-B"](t)}function Wn(t,e){return!(!e&&Yn(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||Vn.Khmer(t))}function Zn(t){for(var e=0,r=t;e<r.length;e+=1)if(Yn(r[e].charCodeAt(0)))return!0;return!1}var Xn=null,Jn="unavailable",Kn=null,Qn=function(t){t&&"string"==typeof t&&t.indexOf("NetworkError")>-1&&(Jn="error"),Xn&&Xn(t)};function $n(){ti.fire(new Tt("pluginStateChange",{pluginStatus:Jn,pluginURL:Kn}))}var ti=new Mt,ei=function(){return Jn},ri=function(){if("deferred"!==Jn||!Kn)throw new Error("rtl-text-plugin cannot be downloaded unless a pluginURL is specified");Jn="loading",$n(),Kn&&yt({url:Kn},(function(t){t?Qn(t):(Jn="loaded",$n())}))},ni={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return"loaded"===Jn||null!=ni.applyArabicShaping},isLoading:function(){return"loading"===Jn},setState:function(t){Jn=t.pluginStatus,Kn=t.pluginURL},isParsed:function(){return null!=ni.applyArabicShaping&&null!=ni.processBidirectionalText&&null!=ni.processStyledBidirectionalText},getPluginURL:function(){return Kn}},ii=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Un,this.transition={})};ii.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!Wn(n[r].charCodeAt(0),e))return!1;return!0}(t,ni.isLoaded())},ii.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},ii.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ai=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if("error"===r.result)throw new Error(r.value.map((function(t){return t.key+": "+t.message})).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=Kt.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ai.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},ai.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oi=function(t){this.property=t,this.value=new ai(t,void 0)};oi.prototype.transitioned=function(t,e){return new li(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oi.prototype.untransitioned=function(){return new li(this.property,this.value,null,{},0)};var si=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};si.prototype.getValue=function(t){return x(this._values[t].value.value)},si.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].value=new ai(this._values[t].property,null===e?void 0:x(e))},si.prototype.getTransition=function(t){return x(this._values[t].transition)},si.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].transition=x(e)||void 0},si.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+"-transition"]=a)}return t},si.prototype.transitioned=function(t,e){for(var r=new ci(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},si.prototype.untransitioned=function(){for(var t=new ci(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var li=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};li.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ci.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ci.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ui=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ui.prototype.getValue=function(t){return x(this._values[t].value)},ui.prototype.setValue=function(t,e){this._values[t]=new ai(this._values[t].property,null===e?void 0:x(e))},ui.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ui.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var hi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};hi.prototype.isConstant=function(){return"constant"===this.value.kind},hi.prototype.constantOr=function(t){return"constant"===this.value.kind?this.value.value:t},hi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fi.prototype.get=function(t){return this._values[t]};var pi=function(t){this.specification=t};pi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pi.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var di=function(t,e){this.specification=t,this.overrides=e};di.prototype.possiblyEvaluate=function(t,e,r,n){return new hi(this,"constant"===t.expression.kind||"camera"===t.expression.kind?{kind:"constant",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},di.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new hi(this,{kind:"constant",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new hi(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},di.prototype.evaluate=function(t,e,r,n,i,a){return"constant"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new hi(this,{kind:"constant",value:void 0},e);if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a="resolvedImage"===t.property.specification.type&&"string"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new hi(this,{kind:"constant",value:o},e)}if("camera"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new hi(this,{kind:"constant",value:s},e)}return new hi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if("source"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return"composite"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(di),mi=function(t){this.specification=t};mi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if("constant"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new ii(Math.floor(e.zoom-1),e)),t.expression.evaluate(new ii(Math.floor(e.zoom),e)),t.expression.evaluate(new ii(Math.floor(e.zoom+1),e)),e)}},mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},mi.prototype.interpolate=function(t){return t};var vi=function(t){this.specification=t};vi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},vi.prototype.interpolate=function(){return!1};var yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ai(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new oi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn("DataDrivenProperty",di),Dn("DataConstantProperty",pi),Dn("CrossFadedDataDrivenProperty",gi),Dn("CrossFadedProperty",mi),Dn("ColorRampProperty",vi);var xi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},"custom"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,"background"!==e.type&&(this.source=e.source,this.sourceLayer=e["source-layer"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ui(r.layout)),r.paint)){for(var n in this._transitionablePaint=new si(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fi(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return"visibility"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,"layers."+this.id+".layout."+t,t,e,r)||("visibility"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,"-transition")?this._transitionablePaint.getTransition(t.slice(0,-"-transition".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,"layers."+this.id+".paint."+t,t,e,r))return!1;if(m(t,"-transition"))return this._transitionablePaint.setTransition(t.slice(0,-"-transition".length),e||void 0),!1;var n=this._transitionablePaint._values[t],i="cross-faded-data-driven"===n.property.specification["property-type"],a=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||a||i||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof hi&&Lr(e.property.specification)&&("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),bi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ti(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i=bi[t.type].BYTES_PER_ELEMENT,a=r=ki(r,Math.max(e,i)),o=t.components||1;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ki(r,Math.max(n,e)),alignment:e}}function ki(t,e){return Math.ceil(t/e)*e}wi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wi.prototype.clear=function(){this.length=0},wi.prototype.resize=function(t){this.reserve(t),this.length=t},wi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var Mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wi);Mi.prototype.bytesPerElement=4,Dn("StructArrayLayout2i4",Mi);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(wi);Ai.prototype.bytesPerElement=8,Dn("StructArrayLayout4i8",Ai);var Si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(wi);Si.prototype.bytesPerElement=12,Dn("StructArrayLayout2i4i12",Si);var Ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(wi);Ei.prototype.bytesPerElement=8,Dn("StructArrayLayout2i4ub8",Ei);var Ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=9*t,f=18*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint8[f+16]=c,this.uint8[f+17]=u,t},e}(wi);Ci.prototype.bytesPerElement=18,Dn("StructArrayLayout8ui2ub18",Ci);var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wi);Li.prototype.bytesPerElement=24,Dn("StructArrayLayout4i4ui4i24",Li);var Pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(wi);Pi.prototype.bytesPerElement=12,Dn("StructArrayLayout3f12",Pi);var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint32[1*t+0]=e,t},e}(wi);Ii.prototype.bytesPerElement=4,Dn("StructArrayLayout1ul4",Ii);var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(wi);zi.prototype.bytesPerElement=20,Dn("StructArrayLayout6i1ul2ui20",zi);var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(wi);Oi.prototype.bytesPerElement=12,Dn("StructArrayLayout2i2i2i12",Oi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(wi);Di.prototype.bytesPerElement=16,Dn("StructArrayLayout2f1f2i16",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(wi);Ri.prototype.bytesPerElement=12,Dn("StructArrayLayout2ub2f12",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(wi);Fi.prototype.bytesPerElement=6,Dn("StructArrayLayout3ui6",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wi);Bi.prototype.bytesPerElement=48,Dn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wi);Ni.prototype.bytesPerElement=68,Dn("StructArrayLayout8i15ui1ul4f68",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wi);ji.prototype.bytesPerElement=4,Dn("StructArrayLayout1f4",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(wi);Ui.prototype.bytesPerElement=6,Dn("StructArrayLayout3i6",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=4*t;return this.uint32[2*t+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(wi);Vi.prototype.bytesPerElement=8,Dn("StructArrayLayout1ul2ui8",Vi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wi);qi.prototype.bytesPerElement=4,Dn("StructArrayLayout2ui4",qi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wi);Hi.prototype.bytesPerElement=2,Dn("StructArrayLayout1ui2",Hi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wi);Gi.prototype.bytesPerElement=8,Dn("StructArrayLayout2f8",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(wi);Yi.prototype.bytesPerElement=16,Dn("StructArrayLayout4f16",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_i);Wi.prototype.size=20;var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wi(this,t)},e}(zi);Dn("CollisionBoxArray",Zi);var Xi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_i);Xi.prototype.size=48;var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xi(this,t)},e}(Bi);Dn("PlacedSymbolArray",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_i);Ki.prototype.size=68;var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ki(this,t)},e}(Ni);Dn("SymbolInstanceArray",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(ji);Dn("GlyphOffsetArray",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ui);Dn("SymbolLineVertexArray",ta);var ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(_i);ea.prototype.size=8;var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new ea(this,t)},e}(Vi);Dn("FeatureIndexArray",ra);var na=Ti([{name:"a_pos",components:2,type:"Int16"}],4).members,ia=function(t){void 0===t&&(t=[]),this.segments=t};function aa(t,e){return 256*(t=l(Math.floor(t),0,255))+l(Math.floor(e),0,255)}ia.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>ia.MAX_VERTEX_ARRAY_LENGTH&&_("Max vertices per segment is "+ia.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>ia.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},ia.prototype.get=function(){return this.segments},ia.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},ia.simpleSegment=function(t,e,r,n){return new ia([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},ia.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Dn("SegmentVector",ia);var oa=Ti([{name:"a_pattern_from",components:4,type:"Uint16"},{name:"a_pattern_to",components:4,type:"Uint16"},{name:"a_pixel_ratio_from",components:1,type:"Uint8"},{name:"a_pixel_ratio_to",components:1,type:"Uint8"}]),sa=e((function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(n=t.length-(r=3&t.length),i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}})),la=e((function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}})),ca=sa,ua=la;ca.murmur3=sa,ca.murmur2=ua;var ha=function(){this.ids=[],this.positions=[],this.indexed=!1};ha.prototype.add=function(t,e,r,n){this.ids.push(pa(t)),this.positions.push(e,r,n)},ha.prototype.getPositions=function(t){for(var e=pa(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;)a.push({index:this.positions[3*r],start:this.positions[3*r+1],end:this.positions[3*r+2]}),r++;return a},ha.serialize=function(t,e){var r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return function t(e,r,n,i){for(;n<i;){for(var a=e[n+i>>1],o=n-1,s=i+1;;){do{o++}while(e[o]<a);do{s--}while(e[s]>a);if(o>=s)break;da(e,o,s),da(r,3*o,3*s),da(r,3*o+1,3*s+1),da(r,3*o+2,3*s+2)}s-n<i-s?(t(e,r,n,s),n=s+1):(t(e,r,s+1,i),i=s)}}(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}},ha.deserialize=function(t){var e=new ha;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fa=Math.pow(2,53)-1;function pa(t){var e=+t;return!isNaN(e)&&e<=fa?e:ca(String(t))}function da(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn("FeaturePositionMap",ha);var ga=function(t,e){this.gl=t.gl,this.location=e},ma=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(ga),va=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(ga),ya=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(ga),xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(ga),ba=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(ga),_a=function(t){function e(e,r){t.call(this,e,r),this.current=Kt.transparent}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(ga),wa=new Float32Array(16),Ta=function(t){function e(e,r){t.call(this,e,r),this.current=wa}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(ga);function ka(t){return[aa(255*t.r,255*t.g),aa(255*t.b,255*t.a)]}var Ma=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};Ma.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Ma.prototype.getBinding=function(t,e,r){return"color"===this.type?new _a(t,e):new va(t,e)};var Aa=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Aa.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Aa.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},Aa.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new ba(t,e):new va(t,e)};var Sa=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};Sa.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new ii(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Sa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Sa.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=ka(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Sa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Sa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ea=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ea.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new ii(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new ii(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ea.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ea.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=ka(r),a=ka(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ea.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ea.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ea.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ea.prototype.getBinding=function(t,e,r){return new va(t,e)};var Ca=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Ca.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ca.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Ca.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=n[r.min],a=n[r.mid],o=n[r.max];if(i&&a&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],i.tl[0],i.tl[1],i.br[0],i.br[1],a.pixelRatio,i.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],a.pixelRatio,o.pixelRatio)}},Ca.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oa.members,this.expression.isStateDependent))},Ca.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var La=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof hi&&Lr(o.property.specification)){var s=Ia(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification["property-type"],f="cross-faded"===h||"cross-faded-data-driven"===h;if("constant"===l.kind)this.binders[a]=f?new Aa(l.value,s):new Ma(l.value,s,c),i.push("/u_"+a);else if("source"===l.kind||f){var p=za(a,c,"source");this.binders[a]=f?new Ca(l,c,u,e,p,t.id):new Sa(l,s,c,p),i.push("/a_"+a)}else{var d=za(a,c,"composite");this.binders[a]=new Ea(l,s,c,u,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};La.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Sa||e instanceof Ea?e.maxValue:0},La.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Sa||o instanceof Ea||o instanceof Ca)&&o.populatePaintArray(t,e,r,n,i)}},La.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Aa&&n.setConstantPatternPositions(t,e)}},La.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Sa||f instanceof Ea||f instanceof Ca)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},La.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Ma||r instanceof Aa)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},La.prototype.getPaintVertexBuffers=function(){return this._buffers},La.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Ma||i instanceof Aa||i instanceof Ea)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},La.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},La.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ca){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Sa||r instanceof Ea)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},La.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Sa||r instanceof Ea||r instanceof Ca)&&r.upload(t)}this.updatePaintBuffers()},La.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Sa||e instanceof Ea||e instanceof Ca)&&e.destroy()}};var Pa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new La(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ha,this._bufferOffset=0};function Ia(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function za(t,e,r){var n={color:{source:Gi,composite:Yi},number:{source:ji,composite:Gi}},i=function(t){return{"line-pattern":{source:Ci,composite:Ci},"fill-pattern":{source:Ci,composite:Ci},"fill-extrusion-pattern":{source:Ci,composite:Ci}}[t]}(t);return i&&i[r]||n[e][r]}Pa.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pa.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pa.prototype.get=function(t){return this.programConfigurations[t]},Pa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pa.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn("ConstantBinder",Ma),Dn("CrossFadedConstantBinder",Aa),Dn("SourceExpressionBinder",Sa),Dn("CrossFadedCompositeBinder",Ca),Dn("CompositeExpressionBinder",Ea),Dn("ProgramConfiguration",La,{omit:["_buffers"]}),Dn("ProgramConfigurationSet",Pa);var Oa={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Da(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oa.min||o.x>Oa.max||o.y<Oa.min||o.y>Oa.max)&&(_("Geometry exceeds allowed extent, reduce your vector tile buffer size"),o.x=l(o.x,Oa.min,Oa.max),o.y=l(o.y,Oa.min,Oa.max))}return r}function Ra(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Fa=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Mi,this.indexArray=new Fi,this.segments=new ia,this.programConfigurations=new Pa(na,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ba(t,e){for(var r=0;r<t.length;r++)if(Wa(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wa(t,e[n]))return!0;return!!Va(t,e)}function Na(t,e,r){return!!Wa(t,e)||!!Ha(e,t,r)}function ja(t,e){if(1===t.length)return Ya(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Wa(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ya(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Va(t,e[o]))return!0;return!1}function Ua(t,e,r){if(t.length>1){if(Va(t,e))return!0;for(var n=0;n<e.length;n++)if(Ha(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(Ha(t[i],e,r))return!0;return!1}function Va(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(qa(n,i,e[a],e[a+1]))return!0;return!1}function qa(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Ha(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Ga(t,e[i-1],e[i])<n)return!0;return!1}function Ga(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(i<0?e:i>1?r:r.sub(e)._mult(i)._add(e))}function Ya(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(i=r[l]).y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Wa(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Za(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function Xa(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ja(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ka(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Da(c):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),d,r)){p||(d.geometry=Da(c));var g=a?a.evaluate(d,{},r):void 0;i.push({id:u,properties:c.properties,type:c.type,sourceLayerIndex:f,index:h,geometry:d.geometry,patterns:{},sortKey:g})}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y.geometry,b=y.index,_=y.sourceLayerIndex,w=t[b].feature;this.addFeature(y,x,b,r),e.featureIndex.insert(w,x,b,_,this.index)}},Fa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Fa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Fa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,na),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),f=h.vertexLength;Ra(this.layoutVertexArray,c,u,-1,-1),Ra(this.layoutVertexArray,c,u,1,-1),Ra(this.layoutVertexArray,c,u,1,1),Ra(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(f,f+1,f+2),this.indexArray.emplaceBack(f,f+3,f+2),h.vertexLength+=4,h.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Dn("CircleBucket",Fa,{omit:["layers"]});var Qa=new yi({"circle-sort-key":new di(At.layout_circle["circle-sort-key"])}),$a={paint:new yi({"circle-radius":new di(At.paint_circle["circle-radius"]),"circle-color":new di(At.paint_circle["circle-color"]),"circle-blur":new di(At.paint_circle["circle-blur"]),"circle-opacity":new di(At.paint_circle["circle-opacity"]),"circle-translate":new pi(At.paint_circle["circle-translate"]),"circle-translate-anchor":new pi(At.paint_circle["circle-translate-anchor"]),"circle-pitch-scale":new pi(At.paint_circle["circle-pitch-scale"]),"circle-pitch-alignment":new pi(At.paint_circle["circle-pitch-alignment"]),"circle-stroke-width":new di(At.paint_circle["circle-stroke-width"]),"circle-stroke-color":new di(At.paint_circle["circle-stroke-color"]),"circle-stroke-opacity":new di(At.paint_circle["circle-stroke-opacity"])}),layout:Qa},to="undefined"!=typeof Float32Array?Float32Array:Array;function eo(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ro(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*i+b*l+_*f+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,t[4]=(x=r[4])*n+(b=r[5])*s+(_=r[6])*h+(w=r[7])*g,t[5]=x*i+b*l+_*f+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,t[8]=(x=r[8])*n+(b=r[9])*s+(_=r[10])*h+(w=r[11])*g,t[9]=x*i+b*l+_*f+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,t[12]=(x=r[12])*n+(b=r[13])*s+(_=r[14])*h+(w=r[15])*g,t[13]=x*i+b*l+_*f+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}Math.hypot||(Math.hypot=function(){for(var t=arguments,e=0,r=arguments.length;r--;)e+=t[r]*t[r];return Math.sqrt(e)});var no,io=ro;function ao(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}no=new to(3),to!=Float32Array&&(no[0]=0,no[1]=0,no[2]=0),function(){var t=new to(4);to!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[3]=0)}();var oo=(function(){var t=new to(2);to!=Float32Array&&(t[0]=0,t[1]=0)}(),function(t){function e(e){t.call(this,e,$a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new Fa(t)},e.prototype.queryRadius=function(t){var e=t;return Xa("circle-radius",this,e)+Xa("circle-stroke-width",this,e)+Ja(this.paint.get("circle-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o,s){for(var l=Ka(t,this.paint.get("circle-translate"),this.paint.get("circle-translate-anchor"),a.angle,o),c=this.paint.get("circle-radius").evaluate(e,r)+this.paint.get("circle-stroke-width").evaluate(e,r),u="map"===this.paint.get("circle-pitch-alignment"),h=u?l:function(t,e){return t.map((function(t){return so(t,e)}))}(l,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,m=d[p];g<m.length;g+=1){var v=m[g],y=u?v:so(v,s),x=f,b=ao([],[v.x,v.y,0,1],s);if("viewport"===this.paint.get("circle-pitch-scale")&&"map"===this.paint.get("circle-pitch-alignment")?x*=b[3]/a.cameraToCenterDistance:"map"===this.paint.get("circle-pitch-scale")&&"viewport"===this.paint.get("circle-pitch-alignment")&&(x*=a.cameraToCenterDistance/b[3]),Na(h,y,x))return!0}return!1},e}(xi));function so(t,e){var r=ao([],[t.x,t.y,0,1],e);return new i(r[0]/r[3],r[1]/r[3])}var lo=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(Fa);function co(t,e,r,n){var i=e.width,a=e.height;if(n){if(n instanceof Uint8ClampedArray)n=new Uint8Array(n.buffer);else if(n.length!==i*a*r)throw new RangeError("mismatched image size")}else n=new Uint8Array(i*a*r);return t.width=i,t.height=a,t.data=n,t}function uo(t,e,r){var n=e.width,i=e.height;if(n!==t.width||i!==t.height){var a=co({},{width:n,height:i},r);ho(t,a,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,i)},r),t.width=n,t.height=i,t.data=a.data}}function ho(t,e,r,n,i,a){if(0===i.width||0===i.height)return e;if(i.width>t.width||i.height>t.height||r.x>t.width-i.width||r.y>t.height-i.height)throw new RangeError("out of range source coordinates for image copy");if(i.width>e.width||i.height>e.height||n.x>e.width-i.width||n.y>e.height-i.height)throw new RangeError("out of range destination coordinates for image copy");for(var o=t.data,s=e.data,l=0;l<i.height;l++)for(var c=((r.y+l)*t.width+r.x)*a,u=((n.y+l)*e.width+n.x)*a,h=0;h<i.width*a;h++)s[u+h]=o[c+h];return e}Dn("HeatmapBucket",lo,{omit:["layers"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,i){ho(t,e,r,n,i,1)};var po=function(t,e){co(this,t,4,e)};po.prototype.resize=function(t){uo(this,t,4)},po.prototype.replace=function(t,e){e?this.data.set(t):this.data=t instanceof Uint8ClampedArray?new Uint8Array(t.buffer):t},po.prototype.clone=function(){return new po({width:this.width,height:this.height},new Uint8Array(this.data))},po.copy=function(t,e,r,n,i){ho(t,e,r,n,i,4)},Dn("AlphaImage",fo),Dn("RGBAImage",po);var go={paint:new yi({"heatmap-radius":new di(At.paint_heatmap["heatmap-radius"]),"heatmap-weight":new di(At.paint_heatmap["heatmap-weight"]),"heatmap-intensity":new pi(At.paint_heatmap["heatmap-intensity"]),"heatmap-color":new vi(At.paint_heatmap["heatmap-color"]),"heatmap-opacity":new pi(At.paint_heatmap["heatmap-opacity"])})};function mo(t,e){for(var r=new Uint8Array(1024),n={},i=0,a=0;i<256;i++,a+=4){n[e]=i/255;var o=t.evaluate(n);r[a+0]=Math.floor(255*o.r/o.a),r[a+1]=Math.floor(255*o.g/o.a),r[a+2]=Math.floor(255*o.b/o.a),r[a+3]=Math.floor(255*o.a)}return new po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){"heatmap-color"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values["heatmap-color"].value.expression,"heatmapDensity"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get("heatmap-opacity")&&"none"!==this.visibility},e}(xi),yo={paint:new yi({"hillshade-illumination-direction":new pi(At.paint_hillshade["hillshade-illumination-direction"]),"hillshade-illumination-anchor":new pi(At.paint_hillshade["hillshade-illumination-anchor"]),"hillshade-exaggeration":new pi(At.paint_hillshade["hillshade-exaggeration"]),"hillshade-shadow-color":new pi(At.paint_hillshade["hillshade-shadow-color"]),"hillshade-highlight-color":new pi(At.paint_hillshade["hillshade-highlight-color"]),"hillshade-accent-color":new pi(At.paint_hillshade["hillshade-accent-color"])})},xo=function(t){function e(e){t.call(this,e,yo)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get("hillshade-exaggeration")&&"none"!==this.visibility},e}(xi),bo=Ti([{name:"a_pos",components:2,type:"Int16"}],4).members,_o=To,wo=To;function To(t,e,r){r=r||2;var n,i,a,o,s,l,c,u=e&&e.length,h=u?e[0]*r:t.length,f=ko(t,0,h,r,!0),p=[];if(!f||f.next===f.prev)return p;if(u&&(f=function(t,e,r,n){var i,a,o,s=[];for(i=0,a=e.length;i<a;i++)(o=ko(t,e[i]*n,i<a-1?e[i+1]*n:t.length,n,!1))===o.next&&(o.steiner=!0),s.push(Do(o));for(s.sort(Po),i=0;i<s.length;i++)Io(s[i],r),r=Mo(r,r.next);return r}(t,e,f,r)),t.length>80*r){n=a=t[0],i=o=t[1];for(var d=r;d<h;d+=r)(s=t[d])<n&&(n=s),(l=t[d+1])<i&&(i=l),s>a&&(a=s),l>o&&(o=l);c=0!==(c=Math.max(a-n,o-i))?1/c:0}return Ao(f,p,r,n,i,c),p}function ko(t,e,r,n,i){var a,o;if(i===Zo(t,e,r,n)>0)for(a=e;a<r;a+=n)o=Go(a,t[a],t[a+1],o);else for(a=r-n;a>=e;a-=n)o=Go(a,t[a],t[a+1],o);return o&&No(o,o.next)&&(Yo(o),o=o.next),o}function Mo(t,e){if(!t)return t;e||(e=t);var r,n=t;do{if(r=!1,n.steiner||!No(n,n.next)&&0!==Bo(n.prev,n,n.next))n=n.next;else{if(Yo(n),(n=e=n.prev)===n.next)break;r=!0}}while(r||n!==e);return e}function Ao(t,e,r,n,i,a,o){if(t){!o&&a&&function(t,e,r,n){var i=t;do{null===i.z&&(i.z=Oo(i.x,i.y,e,r,n)),i.prevZ=i.prev,i.nextZ=i.next,i=i.next}while(i!==t);i.prevZ.nextZ=null,i.prevZ=null,function(t){var e,r,n,i,a,o,s,l,c=1;do{for(r=t,t=null,a=null,o=0;r;){for(o++,n=r,s=0,e=0;e<c&&(s++,n=n.nextZ);e++);for(l=c;s>0||l>0&&n;)0!==s&&(0===l||!n||r.z<=n.z)?(i=r,r=r.nextZ,s--):(i=n,n=n.nextZ,l--),a?a.nextZ=i:t=i,i.prevZ=a,a=i;r=n}a.nextZ=null,c*=2}while(o>1)}(i)}(t,n,i,a);for(var s,l,c=t;t.prev!==t.next;)if(s=t.prev,l=t.next,a?Eo(t,n,i,a):So(t))e.push(s.i/r),e.push(t.i/r),e.push(l.i/r),Yo(t),t=l.next,c=l.next;else if((t=l)===c){o?1===o?Ao(t=Co(Mo(t),e,r),e,r,n,i,a,2):2===o&&Lo(t,e,r,n,i,a):Ao(Mo(t),e,r,n,i,a,1);break}}}function So(t){var e=t.prev,r=t,n=t.next;if(Bo(e,r,n)>=0)return!1;for(var i=t.next.next;i!==t.prev;){if(Ro(e.x,e.y,r.x,r.y,n.x,n.y,i.x,i.y)&&Bo(i.prev,i,i.next)>=0)return!1;i=i.next}return!0}function Eo(t,e,r,n){var i=t.prev,a=t,o=t.next;if(Bo(i,a,o)>=0)return!1;for(var s=i.x>a.x?i.x>o.x?i.x:o.x:a.x>o.x?a.x:o.x,l=i.y>a.y?i.y>o.y?i.y:o.y:a.y>o.y?a.y:o.y,c=Oo(i.x<a.x?i.x<o.x?i.x:o.x:a.x<o.x?a.x:o.x,i.y<a.y?i.y<o.y?i.y:o.y:a.y<o.y?a.y:o.y,e,r,n),u=Oo(s,l,e,r,n),h=t.prevZ,f=t.nextZ;h&&h.z>=c&&f&&f.z<=u;){if(h!==t.prev&&h!==t.next&&Ro(i.x,i.y,a.x,a.y,o.x,o.y,h.x,h.y)&&Bo(h.prev,h,h.next)>=0)return!1;if(h=h.prevZ,f!==t.prev&&f!==t.next&&Ro(i.x,i.y,a.x,a.y,o.x,o.y,f.x,f.y)&&Bo(f.prev,f,f.next)>=0)return!1;f=f.nextZ}for(;h&&h.z>=c;){if(h!==t.prev&&h!==t.next&&Ro(i.x,i.y,a.x,a.y,o.x,o.y,h.x,h.y)&&Bo(h.prev,h,h.next)>=0)return!1;h=h.prevZ}for(;f&&f.z<=u;){if(f!==t.prev&&f!==t.next&&Ro(i.x,i.y,a.x,a.y,o.x,o.y,f.x,f.y)&&Bo(f.prev,f,f.next)>=0)return!1;f=f.nextZ}return!0}function Co(t,e,r){var n=t;do{var i=n.prev,a=n.next.next;!No(i,a)&&jo(i,n,n.next,a)&&qo(i,a)&&qo(a,i)&&(e.push(i.i/r),e.push(n.i/r),e.push(a.i/r),Yo(n),Yo(n.next),n=t=a),n=n.next}while(n!==t);return Mo(n)}function Lo(t,e,r,n,i,a){var o=t;do{for(var s=o.next.next;s!==o.prev;){if(o.i!==s.i&&Fo(o,s)){var l=Ho(o,s);return o=Mo(o,o.next),l=Mo(l,l.next),Ao(o,e,r,n,i,a),void Ao(l,e,r,n,i,a)}s=s.next}o=o.next}while(o!==t)}function Po(t,e){return t.x-e.x}function Io(t,e){if(e=function(t,e){var r,n=e,i=t.x,a=t.y,o=-1/0;do{if(a<=n.y&&a>=n.next.y&&n.next.y!==n.y){var s=n.x+(a-n.y)*(n.next.x-n.x)/(n.next.y-n.y);if(s<=i&&s>o){if(o=s,s===i){if(a===n.y)return n;if(a===n.next.y)return n.next}r=n.x<n.next.x?n:n.next}}n=n.next}while(n!==e);if(!r)return null;if(i===o)return r;var l,c=r,u=r.x,h=r.y,f=1/0;n=r;do{i>=n.x&&n.x>=u&&i!==n.x&&Ro(a<h?i:o,a,u,h,a<h?o:i,a,n.x,n.y)&&(l=Math.abs(a-n.y)/(i-n.x),qo(n,t)&&(l<f||l===f&&(n.x>r.x||n.x===r.x&&zo(r,n)))&&(r=n,f=l)),n=n.next}while(n!==c);return r}(t,e)){var r=Ho(e,t);Mo(e,e.next),Mo(r,r.next)}}function zo(t,e){return Bo(t.prev,t,e.prev)<0&&Bo(e.next,t,t.next)<0}function Oo(t,e,r,n,i){return(t=1431655765&((t=858993459&((t=252645135&((t=16711935&((t=32767*(t-r)*i)|t<<8))|t<<4))|t<<2))|t<<1))|(e=1431655765&((e=858993459&((e=252645135&((e=16711935&((e=32767*(e-n)*i)|e<<8))|e<<4))|e<<2))|e<<1))<<1}function Do(t){var e=t,r=t;do{(e.x<r.x||e.x===r.x&&e.y<r.y)&&(r=e),e=e.next}while(e!==t);return r}function Ro(t,e,r,n,i,a,o,s){return(i-o)*(e-s)-(t-o)*(a-s)>=0&&(t-o)*(n-s)-(r-o)*(e-s)>=0&&(r-o)*(a-s)-(i-o)*(n-s)>=0}function Fo(t,e){return t.next.i!==e.i&&t.prev.i!==e.i&&!function(t,e){var r=t;do{if(r.i!==t.i&&r.next.i!==t.i&&r.i!==e.i&&r.next.i!==e.i&&jo(r,r.next,t,e))return!0;r=r.next}while(r!==t);return!1}(t,e)&&(qo(t,e)&&qo(e,t)&&function(t,e){var r=t,n=!1,i=(t.x+e.x)/2,a=(t.y+e.y)/2;do{r.y>a!=r.next.y>a&&r.next.y!==r.y&&i<(r.next.x-r.x)*(a-r.y)/(r.next.y-r.y)+r.x&&(n=!n),r=r.next}while(r!==t);return n}(t,e)&&(Bo(t.prev,t,e.prev)||Bo(t,e.prev,e))||No(t,e)&&Bo(t.prev,t,t.next)>0&&Bo(e.prev,e,e.next)>0)}function Bo(t,e,r){return(e.y-t.y)*(r.x-e.x)-(e.x-t.x)*(r.y-e.y)}function No(t,e){return t.x===e.x&&t.y===e.y}function jo(t,e,r,n){var i=Vo(Bo(t,e,r)),a=Vo(Bo(t,e,n)),o=Vo(Bo(r,n,t)),s=Vo(Bo(r,n,e));return i!==a&&o!==s||!(0!==i||!Uo(t,r,e))||!(0!==a||!Uo(t,n,e))||!(0!==o||!Uo(r,t,n))||!(0!==s||!Uo(r,e,n))}function Uo(t,e,r){return e.x<=Math.max(t.x,r.x)&&e.x>=Math.min(t.x,r.x)&&e.y<=Math.max(t.y,r.y)&&e.y>=Math.min(t.y,r.y)}function Vo(t){return t>0?1:t<0?-1:0}function qo(t,e){return Bo(t.prev,t,t.next)<0?Bo(t,e,t.next)>=0&&Bo(t,t.prev,e)>=0:Bo(t,e,t.prev)<0||Bo(t,t.next,e)<0}function Ho(t,e){var r=new Wo(t.i,t.x,t.y),n=new Wo(e.i,e.x,e.y),i=t.next,a=e.prev;return t.next=e,e.prev=t,r.next=i,i.prev=r,n.next=r,r.prev=n,a.next=n,n.prev=a,n}function Go(t,e,r,n){var i=new Wo(t,e,r);return n?(i.next=n.next,i.prev=n,n.next.prev=i,n.next=i):(i.prev=i,i.next=i),i}function Yo(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function Wo(t,e,r){this.i=t,this.x=e,this.y=r,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}function Zo(t,e,r,n){for(var i=0,a=e,o=r-n;a<r;a+=n)i+=(t[o]-t[a])*(t[a+1]+t[o+1]),o=a;return i}function Xo(t,e,r,n,i){!function t(e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),c=.5*Math.exp(2*l/3),u=.5*Math.sqrt(l*c*(o-c)/o)*(s-o/2<0?-1:1);t(e,r,Math.max(n,Math.floor(r-s*c/o+u)),Math.min(i,Math.floor(r+(o-s)*c/o+u)),a)}var h=e[r],f=n,p=i;for(Jo(e,n,r),a(e[i],h)>0&&Jo(e,n,i);f<p;){for(Jo(e,f,p),f++,p--;a(e[f],h)<0;)f++;for(;a(e[p],h)>0;)p--}0===a(e[n],h)?Jo(e,n,p):Jo(e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}(t,e,r||0,n||t.length-1,i||Ko)}function Jo(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function Ko(t,e){return t<e?-1:t>e?1:0}function Qo(t,e){var r=t.length;if(r<=1)return[t];for(var n,i,a=[],o=0;o<r;o++){var s=T(t[o]);0!==s&&(t[o].area=Math.abs(s),void 0===i&&(i=s<0),i===s<0?(n&&a.push(n),n=[t[o]]):n.push(t[o]))}if(n&&a.push(n),e>1)for(var l=0;l<a.length;l++)a[l].length<=e||(Xo(a[l],e,1,a[l].length-1,$o),a[l]=a[l].slice(0,e));return a}function $o(t,e){return e.area-t.area}function ts(t,e,r){for(var n=r.patternDependencies,i=!1,a=0,o=e;a<o.length;a+=1){var s=o[a].paint.get(t+"-pattern");s.isConstant()||(i=!0);var l=s.constantOr(null);l&&(i=!0,n[l.to]=!0,n[l.from]=!0)}return i}function es(t,e,r,n,i){for(var a=i.patternDependencies,o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.paint.get(t+"-pattern").value;if("constant"!==c.kind){var u=c.evaluate({zoom:n-1},r,{},i.availableImages),h=c.evaluate({zoom:n},r,{},i.availableImages),f=c.evaluate({zoom:n+1},r,{},i.availableImages);h=h&&h.name?h.name:h,f=f&&f.name?f.name:f,a[u=u&&u.name?u.name:u]=!0,a[h]=!0,a[f]=!0,r.patterns[l.id]={min:u,mid:h,max:f}}}return r}To.deviation=function(t,e,r,n){var i=e&&e.length,a=Math.abs(Zo(t,0,i?e[0]*r:t.length,r));if(i)for(var o=0,s=e.length;o<s;o++)a-=Math.abs(Zo(t,e[o]*r,o<s-1?e[o+1]*r:t.length,r));var l=0;for(o=0;o<n.length;o+=3){var c=n[o]*r,u=n[o+1]*r,h=n[o+2]*r;l+=Math.abs((t[c]-t[h])*(t[u+1]-t[c+1])-(t[c]-t[u])*(t[h+1]-t[c+1]))}return 0===a&&0===l?0:Math.abs((l-a)/a)},To.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&r.holes.push(n+=t[i-1].length)}return r},_o.default=wo;var rs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Mi,this.indexArray=new Fi,this.indexArray2=new qi,this.programConfigurations=new Pa(bo,t.layers,t.zoom),this.segments=new ia,this.segments2=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};rs.prototype.populate=function(t,e,r){this.hasPattern=ts("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Da(l):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),p,r)){f||(p.geometry=Da(l));var d=n?n.evaluate(p,{},r,e.availableImages):void 0;i.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=i;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es("fill",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},rs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},rs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},rs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},rs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},rs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bo),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},rs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},rs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Qo(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),f=h.vertexLength,p=[],d=[],g=0,m=s;g<m.length;g+=1){var v=m[g];if(0!==v.length){v!==s[0]&&d.push(p.length/2);var y=this.segments2.prepareSegment(v.length,this.layoutVertexArray,this.indexArray2),x=y.vertexLength;this.layoutVertexArray.emplaceBack(v[0].x,v[0].y),this.indexArray2.emplaceBack(x+v.length-1,x),p.push(v[0].x),p.push(v[0].y);for(var b=1;b<v.length;b++)this.layoutVertexArray.emplaceBack(v[b].x,v[b].y),this.indexArray2.emplaceBack(x+b-1,x+b),p.push(v[b].x),p.push(v[b].y);y.vertexLength+=v.length,y.primitiveLength+=v.length}}for(var _=_o(p,d),w=0;w<_.length;w+=3)this.indexArray.emplaceBack(f+_[w],f+_[w+1],f+_[w+2]);h.vertexLength+=l,h.primitiveLength+=_.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Dn("FillBucket",rs,{omit:["layers","patternFeatures"]});var ns=new yi({"fill-sort-key":new di(At.layout_fill["fill-sort-key"])}),is={paint:new yi({"fill-antialias":new pi(At.paint_fill["fill-antialias"]),"fill-opacity":new di(At.paint_fill["fill-opacity"]),"fill-color":new di(At.paint_fill["fill-color"]),"fill-outline-color":new di(At.paint_fill["fill-outline-color"]),"fill-translate":new pi(At.paint_fill["fill-translate"]),"fill-translate-anchor":new pi(At.paint_fill["fill-translate-anchor"]),"fill-pattern":new gi(At.paint_fill["fill-pattern"])}),layout:ns},as=function(t){function e(e){t.call(this,e,is)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r);var n=this.paint._values["fill-outline-color"];"constant"===n.value.kind&&void 0===n.value.value&&(this.paint._values["fill-outline-color"]=this.paint._values["fill-color"])},e.prototype.createBucket=function(t){return new rs(t)},e.prototype.queryRadius=function(){return Ja(this.paint.get("fill-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o){return ja(Ka(t,this.paint.get("fill-translate"),this.paint.get("fill-translate-anchor"),a.angle,o),n)},e.prototype.isTileClipped=function(){return!0},e}(xi),os=Ti([{name:"a_pos",components:2,type:"Int16"},{name:"a_normal_ed",components:4,type:"Int16"}],4).members,ss=ls;function ls(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(cs,this,e)}function cs(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function us(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)n+=((r=t[o]).x-(e=t[i]).x)*(e.y+r.y);return n}ls.types=["Unknown","Point","LineString","Polygon"],ls.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,a=0,o=0,s=0,l=[];t.pos<r;){if(a<=0){var c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ls.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},ls.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ls.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e];t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp((180-360*(r.y+s)/a)*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=us(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var f={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,i*vs*2,a*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Si,this.indexArray=new Fi,this.programConfigurations=new Pa(os,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Da(o):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Da(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es("fill-extrusion",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Qo(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ia.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ia.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Dn("FillExtrusionBucket",xs,{omit:["layers","features"]});var _s={paint:new yi({"fill-extrusion-opacity":new pi(At["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new di(At["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new pi(At["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new pi(At["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new gi(At["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new di(At["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new di(At["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new pi(At["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ja(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=Ka(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),h=this.paint.get("fill-extrusion-base").evaluate(e,r),f=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];ao(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new i((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new i(L/z,P/z);D.z=I/z,y.push(D)}a.push(v),o.push(y)}return[a,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ja(r,e)&&(n=ks(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=[l,a[s+1],o[s+1],o[s],l];Ba(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xi);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=i.z*(1-m-v)+r.z*m+a.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ti([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ei,this.indexArray=new Fi,this.programConfigurations=new Pa(Ms,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts("line",this.layers,e);for(var n=this.layers[0].layout.get("line-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Da(l):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),p,r)){f||(p.geometry=Da(l));var d=n?n.evaluate(p,{},r):void 0;i.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=i;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es("line",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),c=a.get("line-round-limit"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Cs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?"butt":n;if(S&&"round"===E&&(_<a?E="miter":_<=2&&(E="fakeround")),"miter"===E&&_>i&&(E="bevel"),"bevel"===E&&(_>2&&(E="flipbevel"),_<i&&(E="miter")),p&&this.updateDistance(p,u),"miter"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if("flipbevel"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if("bevel"===E||"fakeround"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),"fakeround"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if("butt"===E)this.addCurrentVertex(u,y,0,0,f);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else"round"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,a,!1,r,i),this.addHalfVertex(t,o,s,a,!0,-n,i),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Cs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),i?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn("LineBucket",Cs,{omit:["layers","patternFeatures"]});var Ls=new yi({"line-cap":new pi(At.layout_line["line-cap"]),"line-join":new di(At.layout_line["line-join"]),"line-miter-limit":new pi(At.layout_line["line-miter-limit"]),"line-round-limit":new pi(At.layout_line["line-round-limit"]),"line-sort-key":new di(At.layout_line["line-sort-key"])}),Ps={paint:new yi({"line-opacity":new di(At.paint_line["line-opacity"]),"line-color":new di(At.paint_line["line-color"]),"line-translate":new pi(At.paint_line["line-translate"]),"line-translate-anchor":new pi(At.paint_line["line-translate-anchor"]),"line-width":new di(At.paint_line["line-width"]),"line-gap-width":new di(At.paint_line["line-gap-width"]),"line-offset":new di(At.paint_line["line-offset"]),"line-blur":new di(At.paint_line["line-blur"]),"line-dasharray":new mi(At.paint_line["line-dasharray"]),"line-pattern":new gi(At.paint_line["line-pattern"]),"line-gradient":new vi(At.paint_line["line-gradient"])}),layout:Ls},Is=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new ii(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(di))(Ps.paint.properties["line-width"].specification);Is.useIntegerZoom=!0;var zs=function(t){function e(e){t.call(this,e,Ps)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){this.gradient=mo(this._transitionablePaint._values["line-gradient"].value.expression,"lineProgress"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values["line-floorwidth"]=Is.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new Cs(t)},e.prototype.queryRadius=function(t){var e=t,r=Os(Xa("line-width",this,e),Xa("line-gap-width",this,e)),n=Xa("line-offset",this,e);return r/2+Math.abs(n)+Ja(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=Ka(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),c=s/2*Os(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),u=this.paint.get("line-offset").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l],u=o[l+1],h=0===l?n:c.sub(o[l-1])._unit()._perp(),f=l===o.length-1?n:u.sub(c)._unit()._perp(),p=h._add(f)._unit();p._mult(1/(p.x*f.x+p.y*f.y)),s.push(p._mult(e)._add(c))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Wa(t,i[a]))return!0;if(Ua(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(xi);function Os(t,e){return e>0?e+2*t:t}var Ds=Ti([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"},{name:"a_pixeloffset",components:4,type:"Int16"}],4),Rs=Ti([{name:"a_projected_pos",components:3,type:"Float32"}],4),Fs=(Ti([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),Ti([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),Bs=(Ti([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]),Ti([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),Ns=Ti([{name:"a_pos",components:2,type:"Float32"},{name:"a_radius",components:1,type:"Float32"},{name:"a_flags",components:2,type:"Int16"}],4);function js(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get("text-transform").evaluate(r,{});return"uppercase"===n?t=t.toLocaleUpperCase():"lowercase"===n&&(t=t.toLocaleLowerCase()),ni.applyArabicShaping&&(t=ni.applyArabicShaping(t)),t}(t.text,e,r)})),t}Ti([{name:"triangle",components:3,type:"Uint16"}]),Ti([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Uint16",name:"glyphStartIndex"},{type:"Uint16",name:"numGlyphs"},{type:"Uint32",name:"vertexStartIndex"},{type:"Uint32",name:"lineStartIndex"},{type:"Uint32",name:"lineLength"},{type:"Uint16",name:"segment"},{type:"Uint16",name:"lowerSize"},{type:"Uint16",name:"upperSize"},{type:"Float32",name:"lineOffsetX"},{type:"Float32",name:"lineOffsetY"},{type:"Uint8",name:"writingMode"},{type:"Uint8",name:"placedOrientation"},{type:"Uint8",name:"hidden"},{type:"Uint32",name:"crossTileID"},{type:"Int16",name:"associatedIconIndex"}]),Ti([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Int16",name:"rightJustifiedTextSymbolIndex"},{type:"Int16",name:"centerJustifiedTextSymbolIndex"},{type:"Int16",name:"leftJustifiedTextSymbolIndex"},{type:"Int16",name:"verticalPlacedTextSymbolIndex"},{type:"Int16",name:"placedIconSymbolIndex"},{type:"Int16",name:"verticalPlacedIconSymbolIndex"},{type:"Uint16",name:"key"},{type:"Uint16",name:"textBoxStartIndex"},{type:"Uint16",name:"textBoxEndIndex"},{type:"Uint16",name:"verticalTextBoxStartIndex"},{type:"Uint16",name:"verticalTextBoxEndIndex"},{type:"Uint16",name:"iconBoxStartIndex"},{type:"Uint16",name:"iconBoxEndIndex"},{type:"Uint16",name:"verticalIconBoxStartIndex"},{type:"Uint16",name:"verticalIconBoxEndIndex"},{type:"Uint16",name:"featureIndex"},{type:"Uint16",name:"numHorizontalGlyphVertices"},{type:"Uint16",name:"numVerticalGlyphVertices"},{type:"Uint16",name:"numIconVertices"},{type:"Uint16",name:"numVerticalIconVertices"},{type:"Uint16",name:"useRuntimeCollisionCircles"},{type:"Uint32",name:"crossTileID"},{type:"Float32",name:"textBoxScale"},{type:"Float32",components:2,name:"textOffset"},{type:"Float32",name:"collisionCircleDiameter"}]),Ti([{type:"Float32",name:"offsetX"}]),Ti([{type:"Int16",name:"x"},{type:"Int16",name:"y"},{type:"Int16",name:"tileUnitDistanceFromAnchor"}]);var Us={"!":"\ufe15","#":"\uff03",$:"\uff04","%":"\uff05","&":"\uff06","(":"\ufe35",")":"\ufe36","*":"\uff0a","+":"\uff0b",",":"\ufe10","-":"\ufe32",".":"\u30fb","/":"\uff0f",":":"\ufe13",";":"\ufe14","<":"\ufe3f","=":"\uff1d",">":"\ufe40","?":"\ufe16","@":"\uff20","[":"\ufe47","\\":"\uff3c","]":"\ufe48","^":"\uff3e",_:"\ufe33","`":"\uff40","{":"\ufe37","|":"\u2015","}":"\ufe38","~":"\uff5e","\xa2":"\uffe0","\xa3":"\uffe1","\xa5":"\uffe5","\xa6":"\uffe4","\xac":"\uffe2","\xaf":"\uffe3","\u2013":"\ufe32","\u2014":"\ufe31","\u2018":"\ufe43","\u2019":"\ufe44","\u201c":"\ufe41","\u201d":"\ufe42","\u2026":"\ufe19","\u2027":"\u30fb","\u20a9":"\uffe6","\u3001":"\ufe11","\u3002":"\ufe12","\u3008":"\ufe3f","\u3009":"\ufe40","\u300a":"\ufe3d","\u300b":"\ufe3e","\u300c":"\ufe41","\u300d":"\ufe42","\u300e":"\ufe43","\u300f":"\ufe44","\u3010":"\ufe3b","\u3011":"\ufe3c","\u3014":"\ufe39","\u3015":"\ufe3a","\u3016":"\ufe17","\u3017":"\ufe18","\uff01":"\ufe15","\uff08":"\ufe35","\uff09":"\ufe36","\uff0c":"\ufe10","\uff0d":"\ufe32","\uff0e":"\u30fb","\uff1a":"\ufe13","\uff1b":"\ufe14","\uff1c":"\ufe3f","\uff1e":"\ufe40","\uff1f":"\ufe16","\uff3b":"\ufe47","\uff3d":"\ufe48","\uff3f":"\ufe33","\uff5b":"\ufe37","\uff5c":"\u2015","\uff5d":"\ufe38","\uff5f":"\ufe35","\uff60":"\ufe36","\uff61":"\ufe12","\uff62":"\ufe41","\uff63":"\ufe42"},Vs=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},qs=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},Hs=Gs;function Gs(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}Gs.Varint=0,Gs.Fixed64=1,Gs.Bytes=2,Gs.Fixed32=5;var Ys="undefined"==typeof TextDecoder?null:new TextDecoder("utf8");function Ws(t){return t.type===Gs.Bytes?t.readVarint()+t.pos:t.pos+1}function Zs(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Xs(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Js(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Ks(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Qs(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function $s(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function tl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function el(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function rl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function nl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function il(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function al(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function ol(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function sl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}function ll(t,e,r){1===t&&r.readMessage(cl,e)}function cl(t,e,r){if(3===t){var n=r.readMessage(ul,{}),i=n.width,a=n.height,o=n.left,s=n.top,l=n.advance;e.push({id:n.id,bitmap:new fo({width:i+6,height:a+6},n.bitmap),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function ul(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function hl(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}Gs.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),i=n>>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=al(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=sl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=al(this.buf,this.pos)+4294967296*al(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=al(this.buf,this.pos)+4294967296*sl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Vs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Vs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,i,a=r.buf;if(n=(112&(i=a[r.pos++]))>>4,i<128)return Zs(t,n,e);if(n|=(127&(i=a[r.pos++]))<<3,i<128)return Zs(t,n,e);if(n|=(127&(i=a[r.pos++]))<<10,i<128)return Zs(t,n,e);if(n|=(127&(i=a[r.pos++]))<<17,i<128)return Zs(t,n,e);if(n|=(127&(i=a[r.pos++]))<<24,i<128)return Zs(t,n,e);if(n|=(1&(i=a[r.pos++]))<<31,i<128)return Zs(t,n,e);throw new Error("Expected varint not more than 10 bytes")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=this.pos;return this.pos=t,t-e>=12&&Ys?function(t,e,r){return Ys.decode(t.subarray(e,r))}(this.buf,e,t):function(t,e,r){for(var n="",i=e;i<r;){var a,o,s,l=t[i],c=null,u=l>239?4:l>223?3:l>191?2:1;if(i+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(a=t[i+1]))&&(c=(31&l)<<6|63&a)<=127&&(c=null):3===u?(o=t[i+2],128==(192&(a=t[i+1]))&&128==(192&o)&&((c=(15&l)<<12|(63&a)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(o=t[i+2],s=t[i+3],128==(192&(a=t[i+1]))&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&a)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),i+=u}return n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==Gs.Bytes)return t.push(this.readVarint(e));var r=Ws(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==Gs.Bytes)return t.push(this.readSVarint());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==Gs.Bytes)return t.push(this.readBoolean());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==Gs.Bytes)return t.push(this.readFloat());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==Gs.Bytes)return t.push(this.readDouble());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==Gs.Bytes)return t.push(this.readFixed32());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==Gs.Bytes)return t.push(this.readSFixed32());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Gs.Bytes)return t.push(this.readFixed64());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Gs.Bytes)return t.push(this.readSFixed64());var e=Ws(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Gs.Varint)for(;this.buf[this.pos++]>127;);else if(e===Gs.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Gs.Fixed32)this.pos+=4;else{if(e!==Gs.Fixed64)throw new Error("Unimplemented type: "+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,il,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=hl(i),o=new po({width:a.w||1,height:a.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new fl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn("ImagePosition",fl),Dn("ImageAtlas",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack="",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,i);h===gl.vertical&&v.verticalizePunctuation();var y=ni.processBidirectionalText,x=ni.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,a,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,Ml(v,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m="right"===s?1:"left"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn["Arabic Supplement"](H)||Vn["Arabic Extended-A"](H)||Vn["Arabic Presentation Forms-A"](H)||Vn["Arabic Presentation Forms-B"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=a*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=a,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c,u=(e-r)*i;c=a!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,a,G,i.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||i&&Gn(i)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of images 6401")}else _("Can't add FormattedSection with an empty image.")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function wl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,i,a){for(var o=null,s=wl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,i,a)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,i,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn["Bopomofo Extended"](s)||Vn.Bopomofo(s)||Vn["CJK Compatibility Forms"](s)||Vn["CJK Compatibility Ideographs"](s)||Vn["CJK Compatibility"](s)||Vn["CJK Radicals Supplement"](s)||Vn["CJK Strokes"](s)||Vn["CJK Symbols and Punctuation"](s)||Vn["CJK Unified Ideographs Extension A"](s)||Vn["CJK Unified Ideographs"](s)||Vn["Enclosed CJK Letters and Months"](s)||Vn["Halfwidth and Fullwidth Forms"](s)||Vn.Hiragana(s)||Vn["Ideographic Description Characters"](s)||Vn["Kangxi Radicals"](s)||Vn["Katakana Phonetic Extensions"](s)||Vn.Katakana(s)||Vn["Vertical Forms"](s)||Vn["Yi Radicals"](s)||Vn["Yi Syllables"](s)));(bl[d]||g||p.imageName)&&l.push(kl(f+1,h,c,l,Tl(d,t.getCharCode(f+1),g&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(kl(t.length(),h,c,l,0,!0))}function Al(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Sl(t,e,r,n,i){if(n||i)for(var a=t[r],o=(t[r].x+a.metrics.advance*a.scale)*n,s=e;s<=r;s++)t[s].x-=o,t[s].y+=i}function El(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*a,g=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],h=i[0]+g+n[1]):h=(p=i[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*a,v=e.bottom*a;return"height"===r||"both"===r?(u=i[1]+m-n[0],f=i[1]+v+n[2]):f=(u=i[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);function Ll(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new ii(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new ii(s)),maxSize:r.evaluate(new ii(l)),interpolationType:i}}function Pl(t,e,r){var n=e.uSize,i=r.lowerSize;return"source"===t.kind?i/128:"composite"===t.kind?Ue(i/128,r.upperSize/128,e.uSizeT):n}function Il(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=i?l(rr.interpolationFactor(i,e,t.minZoom,t.maxZoom),0,1):0;"camera"===t.kind?n=Ue(t.minSize,t.maxSize,a):r=a}return{uSizeT:r,uSize:n}}Dn("Anchor",Cl);var zl=Object.freeze({__proto__:null,getSizeData:Ll,evaluateSizeForFeature:Pl,evaluateSizeForZoom:Il,SIZE_PACK_FACTOR:128});function Ol(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o],h=t[o+1];if(!h)return!1;var f=t[o-1].angleTo(u)-u.angleTo(h);for(f=Math.abs((f+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:f}),c+=f;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=u.dist(h)}return!0}function Dl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Rl(t,e,r){return t?.6*e*r:0}function Fl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Bl(t,e,r,n,i,a){for(var o=Rl(r,i,a),s=Fl(r,n)*a,l=0,c=Dl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=Ue(h.x,f.x,d),m=Ue(h.y,f.y,d),v=new Cl(g,m,f.angleTo(h),u);return v._round(),!o||Ol(t,v,s,o,e)?v:void 0}l+=p}}function Nl(t,e,r,n,i,a,o,s,l){var c=Rl(n,a,o),u=Fl(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,h=Dl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var m=e[g],v=e[g+1],y=m.dist(v),x=v.angleTo(m);p+n<f+y;){var b=((p+=n)-f)/y,_=Ue(m.x,v.x,b),w=Ue(m.y,v.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var T=new Cl(_,w,x,g);T._round(),i&&!Ol(e,T,o,i,a)||d.push(T)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,i,a,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function jl(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],c=void 0,u=0;u<l.length-1;u++){var h=l[u],f=l[u+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(e-h.x)/(f.x-h.x)*(f.y-h.y))._round():f.x<e&&(f=new i(e,h.y+(e-h.x)/(f.x-h.x)*(f.y-h.y))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(r-h.y)/(f.y-h.y)*(f.x-h.x),r)._round():f.y<r&&(f=new i(h.x+(r-h.y)/(f.y-h.y)*(f.x-h.x),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(n-h.x)/(f.x-h.x)*(f.y-h.y))._round():f.x>=n&&(f=new i(n,h.y+(n-h.x)/(f.x-h.x)*(f.y-h.y))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(a-h.y)/(f.y-h.y)*(f.x-h.x),a)._round():f.y>=a&&(f=new i(h.x+(a-h.y)/(f.y-h.y)*(f.x-h.x),a)._round()),c&&h.equals(c[c.length-1])||o.push(c=[h]),c.push(f)))))}return o}function Ul(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,h=t.bottom-t.top,f=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=f.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,M=0,A=y;if(o.content&&n){var S=o.content;x=Vl(f,0,S[0]),_=Vl(p,0,S[1]),b=Vl(f,S[0],S[2]),w=Vl(p,S[1],S[3]),T=S[0]-x,M=S[1]-_,k=S[2]-S[0]-b,A=S[3]-S[1]-w}var E=function(n,a,l,c){var f=Hl(n.stretch-x,b,u,t.left),p=Gl(n.fixed-T,k,n.stretch,g),d=Hl(a.stretch-_,w,h,t.top),v=Gl(a.fixed-M,A,a.stretch,m),y=Hl(l.stretch-x,b,u,t.left),S=Gl(l.fixed-T,k,l.stretch,g),E=Hl(c.stretch-_,w,h,t.top),C=Gl(c.fixed-M,A,c.stretch,m),L=new i(f,d),P=new i(y,d),I=new i(y,E),z=new i(f,E),O=new i(p/s,v/s),D=new i(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),P._matMult(N),z._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=a.stretch+a.fixed;return{tl:L,tr:P,bl:z,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+U,w:l.stretch+l.fixed-j,h:c.stretch+c.fixed-U},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/h,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=ql(f,v,g),L=ql(p,y,m),P=0;P<C.length-1;P++)for(var I=C[P],z=C[P+1],O=0;O<L.length-1;O++)a.push(E(I,L[O],z,L[O+1]));else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function Vl(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ql(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=n[n.length-1];n.push({fixed:s-c.stretch,stretch:c.stretch}),n.push({fixed:s-c.stretch,stretch:c.stretch+(l-s)})}return n.push({fixed:e+1,stretch:r}),n}function Hl(t,e,r,n){return t/e*r+n}function Gl(t,e,r,n){return t-e*r/n}var Yl=function(t,e,r,n,a,o,s,l,c,u){if(this.boxStartIndex=t.length,c){var h=o.top,f=o.bottom,p=o.collisionPadding;p&&(h-=p[1],f+=p[3]);var d=f-h;d>0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var g=o.top*s-l,m=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,g-=x[1]*s,y+=x[2]*s,m+=x[3]*s),u){var b=new i(v,g),_=new i(y,g),w=new i(v,m),T=new i(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,a)}this.boxEndIndex=t.length},Wl=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Zl),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Zl(t,e){return t<e?-1:t>e?1:0}function Xl(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=Math.min(o-n,s-a),f=h/2,p=new Wl([],Jl);if(0===h)return new i(n,a);for(var d=n;d<o;d+=h)for(var g=a;g<s;g+=h)p.push(new Kl(d+f,g+f,f,t));for(var m=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new Kl(r/e,n/e,0,t)}(t),v=p.length;p.length;){var y=p.pop();(y.d>m.d||!m.d)&&(m=y,r&&console.log("found best %d after %d probes",Math.round(1e4*y.d)/1e4,v)),y.max-m.d<=e||(p.push(new Kl(y.p.x-(f=y.h/2),y.p.y-f,f,t)),p.push(new Kl(y.p.x+f,y.p.y-f,f,t)),p.push(new Kl(y.p.x-f,y.p.y+f,f,t)),p.push(new Kl(y.p.x+f,y.p.y+f,f,t)),v+=4)}return r&&(console.log("num probes: "+v),console.log("best distance: "+m.d)),m.p}function Jl(t,e){return e.max-t.max}function Kl(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,Ga(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}Wl.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},Wl.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},Wl.prototype.peek=function(){return this.data[0]},Wl.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},Wl.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var Ql=Number.POSITIVE_INFINITY;function $l(t,e){return e[1]!==Ql?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-7;break;case"bottom-right":case"bottom-left":case"bottom":i=7-r}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-7;break;case"bottom-right":case"bottom-left":n=7-i;break;case"bottom":n=7-e;break;case"top":n=e-7}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function tc(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}function ec(t,e,r,n,a,o,s,l,c,u,h,f,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,u=[],h=0,f=e.positionedLines;h<f.length;h+=1)for(var p=f[h],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable&&(_=p.lineOffset/2-(m.imageName?-(24-m.metrics.width*m.scale)/2:24*(m.scale-1))),m.imageName){var k=s[m.imageName];x=k.sdf,y=1/(b=k.pixelRatio)}var M=a?[m.x+T,m.y]:[0,0],A=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],S=[0,0];w&&(S=A,A=[0,0]);var E=(m.metrics.left-y)*m.scale-T+A[0],C=(-m.metrics.top-y)*m.scale+A[1],L=E+v.w*m.scale/b,P=C+v.h*m.scale/b,I=new i(E,C),z=new i(L,C),O=new i(E,P),D=new i(L,P);if(w){var R=new i(-T,T- -17),F=-Math.PI/2,B=12-T,N=new i(22-B,-(m.imageName?B:0)),j=new(Function.prototype.bind.apply(i,[null].concat(S)));I._rotateAround(F,R)._add(N)._add(j),z._rotateAround(F,R)._add(N)._add(j),O._rotateAround(F,R)._add(N)._add(j),D._rotateAround(F,R)._add(N)._add(j)}if(c){var U=Math.sin(c),V=Math.cos(c),q=[V,-U,U,V];I._matMult(q),z._matMult(q),O._matMult(q),D._matMult(q)}var H=new i(0,0),G=new i(0,0);u.push({tl:I,tr:z,bl:O,br:D,tex:v,writingMode:e.writingMode,glyphOffset:M,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:H,pixelOffsetBR:G,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;"source"===v.kind?(y=[128*a.layout.get("text-size").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for "text-size" is >= 255. Reduce your "text-size".'):"composite"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for "text-size" is >= 255. Reduce your "text-size".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=h;x<b.length;x+=1)f[b[x]]=t.text.placedSymbolArray.length-1;return 4*m.length}function rc(t){for(var e in t)return t[e];return null}function nc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ic=gs.VectorTileFeature.types,ac=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function oc(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function sc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function lc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(Zn(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new Li,this.indexArray=new Fi,this.programConfigurations=t,this.segments=new ia,this.dynamicLayoutVertexArray=new Pi,this.opacityVertexArray=new Ii,this.placedSymbolArray=new Ji};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ac,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn("SymbolBuffers",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ia,this.collisionVertexArray=new Ri};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn("CollisionBuffers",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e["text-size"]),this.iconSizeData=Ll(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1),this.sortFeaturesByY=("viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey)&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pa(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pa(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $i,this.lineVertexArray=new ta,this.symbolInstances=new Qi},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Us[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),c="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get("symbol-sort-key");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new ii(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Da(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Da(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens("text-field",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ei()||this.hasRTLText&&ni.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Da(y),properties:y.properties,type:ic[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),I="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,h=a.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new i(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new i(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new i(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i);this.addCollisionDebugVertices(a.x1,a.y1,a.x2,a.y2,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oi,Bs.members,qi),this.iconCollisionBox=new uc(Oi,Bs.members,qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=this.symbolInstances.get(n[r]);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,i.verticalPlacedTextSymbolIndex),i.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.placedIconSymbolIndex),i.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn("SymbolBucket",hc,{omit:["layers","collisionBoxArray","features","compareText"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new yi({"symbol-placement":new pi(At.layout_symbol["symbol-placement"]),"symbol-spacing":new pi(At.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new pi(At.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new di(At.layout_symbol["symbol-sort-key"]),"symbol-z-order":new pi(At.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new pi(At.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new pi(At.layout_symbol["icon-ignore-placement"]),"icon-optional":new pi(At.layout_symbol["icon-optional"]),"icon-rotation-alignment":new pi(At.layout_symbol["icon-rotation-alignment"]),"icon-size":new di(At.layout_symbol["icon-size"]),"icon-text-fit":new pi(At.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new pi(At.layout_symbol["icon-text-fit-padding"]),"icon-image":new di(At.layout_symbol["icon-image"]),"icon-rotate":new di(At.layout_symbol["icon-rotate"]),"icon-padding":new pi(At.layout_symbol["icon-padding"]),"icon-keep-upright":new pi(At.layout_symbol["icon-keep-upright"]),"icon-offset":new di(At.layout_symbol["icon-offset"]),"icon-anchor":new di(At.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new pi(At.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new pi(At.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new pi(At.layout_symbol["text-rotation-alignment"]),"text-field":new di(At.layout_symbol["text-field"]),"text-font":new di(At.layout_symbol["text-font"]),"text-size":new di(At.layout_symbol["text-size"]),"text-max-width":new di(At.layout_symbol["text-max-width"]),"text-line-height":new pi(At.layout_symbol["text-line-height"]),"text-letter-spacing":new di(At.layout_symbol["text-letter-spacing"]),"text-justify":new di(At.layout_symbol["text-justify"]),"text-radial-offset":new di(At.layout_symbol["text-radial-offset"]),"text-variable-anchor":new pi(At.layout_symbol["text-variable-anchor"]),"text-anchor":new di(At.layout_symbol["text-anchor"]),"text-max-angle":new pi(At.layout_symbol["text-max-angle"]),"text-writing-mode":new pi(At.layout_symbol["text-writing-mode"]),"text-rotate":new di(At.layout_symbol["text-rotate"]),"text-padding":new pi(At.layout_symbol["text-padding"]),"text-keep-upright":new pi(At.layout_symbol["text-keep-upright"]),"text-transform":new di(At.layout_symbol["text-transform"]),"text-offset":new di(At.layout_symbol["text-offset"]),"text-allow-overlap":new pi(At.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new pi(At.layout_symbol["text-ignore-placement"]),"text-optional":new pi(At.layout_symbol["text-optional"])}),pc={paint:new yi({"icon-opacity":new di(At.paint_symbol["icon-opacity"]),"icon-color":new di(At.paint_symbol["icon-color"]),"icon-halo-color":new di(At.paint_symbol["icon-halo-color"]),"icon-halo-width":new di(At.paint_symbol["icon-halo-width"]),"icon-halo-blur":new di(At.paint_symbol["icon-halo-blur"]),"icon-translate":new pi(At.paint_symbol["icon-translate"]),"icon-translate-anchor":new pi(At.paint_symbol["icon-translate-anchor"]),"text-opacity":new di(At.paint_symbol["text-opacity"]),"text-color":new di(At.paint_symbol["text-color"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new di(At.paint_symbol["text-halo-color"]),"text-halo-width":new di(At.paint_symbol["text-halo-width"]),"text-halo-blur":new di(At.paint_symbol["text-halo-blur"]),"text-translate":new pi(At.paint_symbol["text-translate"]),"text-translate-anchor":new pi(At.paint_symbol["text-translate-anchor"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn("FormatSectionOverride",dc,{omit:["defaultValue"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&(this.layout._values["icon-rotation-alignment"]="point"!==this.layout.get("symbol-placement")?"map":"viewport"),"auto"===this.layout.get("text-rotation-alignment")&&(this.layout._values["text-rotation-alignment"]="point"!==this.layout.get("symbol-placement")?"map":"viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Vr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new dc(a),s=new Ur(o,a.property.specification);i="constant"===a.value.kind||"source"===a.value.kind?new Hr("source",s):new Gr("composite",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new hi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=pc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(i=!0)};if("constant"===r.value.kind&&r.value.value instanceof te)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){i||(t instanceof oe&&ie(t.value)===Vt?a(t.value.sections):t instanceof ue?a(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(xi),mc={paint:new yi({"background-color":new pi(At.paint_background["background-color"]),"background-pattern":new mi(At.paint_background["background-pattern"]),"background-opacity":new pi(At.paint_background["background-opacity"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),yc={paint:new yi({"raster-opacity":new pi(At.paint_raster["raster-opacity"]),"raster-hue-rotate":new pi(At.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new pi(At.paint_raster["raster-brightness-min"]),"raster-brightness-max":new pi(At.paint_raster["raster-brightness-max"]),"raster-saturation":new pi(At.paint_raster["raster-saturation"]),"raster-contrast":new pi(At.paint_raster["raster-contrast"]),"raster-resampling":new pi(At.paint_raster["raster-resampling"]),"raster-fade-duration":new pi(At.paint_raster["raster-fade-duration"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xi),_c={circle:oo,heatmap:vo,hillshade:xo,fill:as,"fill-extrusion":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g(["receive","process"],this),this.invoker=new Ec(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,a)},a)}:function(t){i=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,i=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(i=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&i},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Ic(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,i,a,o,s=(n=this.y,i=this.z,a=Lc(256*(r=this.x),256*(n=Math.pow(2,i)-n-1),i),o=Lc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+i),this.key=qc(e,t,r,n,i)};function qc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn("CanonicalTileID",jc),Dn("OverscaledTileID",Vc,{omit:["posMatrix"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return _('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn("DEMData",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var i=this.deletedStates[t][e];if(null===i)return{};for(var a in i)delete n[a]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ra,this.promoteId=e};function Jc(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof fi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wa(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Za(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(i){var u=f[i];if(u!==m){m=u;var h=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Da(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.filter(new ii(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||"_geojsonTileLayer",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=rn(i),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,a,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&"boolean"==typeof(r=t.properties["string"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn("FeatureIndex",Xc,{omit:["rawTileData","sourceLayerCoder"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,ni.isLoading()||ni.isLoaded()||"deferred"!==ei()||ri();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Zi},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.filter(new ii(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=this.dependencies[n[r]];if(i)for(var a=0,o=e;a<o.length;a+=1)if(i[o[a]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Zi,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pi,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=ii,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=i,t.Point$1=i,t.Properties=yi,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ia,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Hi,t.StructArrayLayout2f1f2i16=Di,t.StructArrayLayout2i4=Mi,t.StructArrayLayout3ui6=Fi,t.StructArrayLayout4i8=Ai,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=si,t.Uniform1f=va,t.Uniform1i=ma,t.Uniform2f=ya,t.Uniform3f=xa,t.Uniform4f=ba,t.UniformColor=_a,t.UniformMatrix4f=Ta,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return to!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new to(9);return to!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new to(4);return to!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=qr,t.createLayout=Ti,t.createStyleLayer=function(t){return"custom"===t.type?new bc(t):new _c[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=Cn,t.endsWith=m,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Pl,t.evaluateSizeForZoom=Il,t.evaluateVariableOffset=$l,t.evented=ti,t.extend=u,t.featureFilter=rn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Al,t.getAnchorJustification=tc,t.getArrayBuffer=yt,t.getImage=bt,t.getJSON=function(t,e){return vt(u(t,{type:"json"}),e)},t.getRTLTextPluginStatus=ei,t.getReferrer=mt,t.getVideo=function(t,e){var r,n,i=self.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement("source");r=t[a],n=void 0,(n=self.document.createElement("a")).href=r,(n.protocol!==self.document.location.protocol||n.host!==self.document.location.host)&&(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=eo,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;return L?(t[0]=(s*C-l*E+c*S)*(L=1/L),t[1]=(i*E-n*C-a*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-i*A+a*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-a*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+i*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t):null},t.isChar=Vn,t.isMapboxURL=H,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=vt,t.mapObject=v,t.mercatorXfromLng=Dc,t.mercatorYfromLat=Rc,t.mercatorZfromAltitude=Fc,t.mul=io,t.multiply=ro,t.mvt=gs,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=Ue,t.offscreenCanvasSupported=ht,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new Hs(t).readFields(ll,[])},t.pbf=Hs,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays(),t.tilePixelRatio=8192/(512*t.overscaling),t.compareText={},t.iconsNeedLinear=!1;var s=t.layers[0].layout,l=t.layers[0]._unevaluatedLayout._values,c={};if("composite"===t.textSizeData.kind){var u=t.textSizeData,h=u.maxZoom;c.compositeTextSizes=[l["text-size"].possiblyEvaluate(new ii(u.minZoom),o),l["text-size"].possiblyEvaluate(new ii(h),o)]}if("composite"===t.iconSizeData.kind){var f=t.iconSizeData,p=f.maxZoom;c.compositeIconSizes=[l["icon-size"].possiblyEvaluate(new ii(f.minZoom),o),l["icon-size"].possiblyEvaluate(new ii(p),o)]}c.layoutTextSize=l["text-size"].possiblyEvaluate(new ii(t.zoom+1),o),c.layoutIconSize=l["icon-size"].possiblyEvaluate(new ii(t.zoom+1),o),c.textMaxSize=l["text-size"].possiblyEvaluate(new ii(18));for(var d=24*s.get("text-line-height"),g="map"===s.get("text-rotation-alignment")&&"point"!==s.get("symbol-placement"),m=s.get("text-keep-upright"),v=s.get("text-size"),y=function(){var a=b[x],l=s.get("text-font").evaluate(a,{},o).join(","),u=v.evaluate(a,{},o),h=c.layoutTextSize.evaluate(a,{},o),f=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},y=a.text,w=[0,0];if(y){var T=y.toString(),k=24*s.get("text-letter-spacing").evaluate(a,{},o),M=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n=r[e].charCodeAt(0),Vn.Arabic(n)||Vn["Arabic Supplement"](n)||Vn["Arabic Extended-A"](n)||Vn["Arabic Presentation Forms-A"](n)||Vn["Arabic Presentation Forms-B"](n))return!1;var n;return!0}(T)?k:0,A=s.get("text-anchor").evaluate(a,{},o),S=s.get("text-variable-anchor");if(!S){var E=s.get("text-radial-offset").evaluate(a,{},o);w=E?$l(A,[24*E,Ql]):s.get("text-offset").evaluate(a,{},o).map((function(t){return 24*t}))}var C=g?"center":s.get("text-justify").evaluate(a,{},o),L=s.get("symbol-placement"),P="point"===L?24*s.get("text-max-width").evaluate(a,{},o):0,I=function(){t.allowVerticalPlacement&&qn(T)&&(p.vertical=yl(y,e,r,i,l,P,d,A,"left",M,w,gl.vertical,!0,L,h,u))};if(!g&&S){for(var z="auto"===C?S.map((function(t){return tc(t)})):[C],O=!1,D=0;D<z.length;D++){var R=z[D];if(!p.horizontal[R])if(O)p.horizontal[R]=p.horizontal[0];else{var F=yl(y,e,r,i,l,P,d,"center",R,M,w,gl.horizontal,!1,L,h,u);F&&(p.horizontal[R]=F,O=1===F.positionedLines.length)}}I()}else{"auto"===C&&(C=tc(A));var B=yl(y,e,r,i,l,P,d,A,C,M,w,gl.horizontal,!1,L,h,u);B&&(p.horizontal[C]=B),I(),qn(T)&&g&&m&&(p.vertical=yl(y,e,r,i,l,P,d,A,C,M,w,gl.vertical,!1,L,h,u))}}var N=void 0,j=!1;if(a.icon&&a.icon.name){var U=n[a.icon.name];U&&(N=function(t,e,r){var n=Al(r),i=e[0]-t.displaySize[0]*n.horizontalAlign,a=e[1]-t.displaySize[1]*n.verticalAlign;return{image:t,top:a,bottom:a+t.displaySize[1],left:i,right:i+t.displaySize[0]}}(i[a.icon.name],s.get("icon-offset").evaluate(a,{},o),s.get("icon-anchor").evaluate(a,{},o)),j=U.sdf,void 0===t.sdfIcons?t.sdfIcons=U.sdf:t.sdfIcons!==U.sdf&&_("Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer"),(U.pixelRatio!==t.pixelRatio||0!==s.get("icon-rotate").constantOr(1))&&(t.iconsNeedLinear=!0))}var V=rc(p.horizontal)||p.vertical;t.iconsInText=!!V&&V.iconsInText,(V||N)&&function(t,e,r,n,i,a,o,s,l,c,u){var h=a.textMaxSize.evaluate(e,{});void 0===h&&(h=o);var f,p=t.layers[0].layout,d=p.get("icon-offset").evaluate(e,{},u),g=rc(r.horizontal),m=o/24,v=t.tilePixelRatio*m,y=t.tilePixelRatio*h/24,x=t.tilePixelRatio*s,b=t.tilePixelRatio*p.get("symbol-spacing"),w=p.get("text-padding")*t.tilePixelRatio,T=p.get("icon-padding")*t.tilePixelRatio,k=p.get("text-max-angle")/180*Math.PI,M="map"===p.get("text-rotation-alignment")&&"point"!==p.get("symbol-placement"),A="map"===p.get("icon-rotation-alignment")&&"point"!==p.get("symbol-placement"),S=p.get("symbol-placement"),E=b/2,C=p.get("icon-text-fit");n&&"none"!==C&&(t.allowVerticalPlacement&&r.vertical&&(f=El(n,r.vertical,C,p.get("icon-text-fit-padding"),d,m)),g&&(n=El(n,g,C,p.get("icon-text-fit-padding"),d,m)));var L=function(s,h){h.x<0||h.x>=8192||h.y<0||h.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,w,T,k,M){var A,S,E,C,L,P=t.addToLineVertexArray(e,r),I=0,z=0,O=0,D=0,R=-1,F=-1,B={},N=ca(""),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue("text-radial-offset")?(j=(A=s.layout.get("text-offset").evaluate(b,{},k).map((function(t){return 24*t})))[0],U=A[1]):(j=24*s.layout.get("text-radial-offset").evaluate(b,{},k),U=Ql),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get("text-rotate").evaluate(b,{},k)+90;C=new Yl(l,e,c,u,h,n.vertical,f,p,d,V),o&&(L=new Yl(l,e,c,u,h,o,m,v,d,V))}if(i){var q=s.layout.get("icon-rotate").evaluate(b,{}),H="none"!==s.layout.get("icon-text-fit"),G=Ul(i,q,T,H),Y=o?Ul(o,q,T,H):void 0;E=new Yl(l,e,c,u,h,i,m,v,!1,q),I=4*G.length;var W=t.iconSizeData,Z=null;"source"===W.kind?(Z=[128*s.layout.get("icon-size").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for "icon-size" is >= 255. Reduce your "icon-size".'):"composite"===W.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for "icon-size" is >= 255. Reduce your "icon-size".'),t.addSymbols(t.icon,G,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,Y&&(z=4*Y.length,t.addSymbols(t.icon,Y,Z,x,y,b,gl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var X in n.horizontal){var J=n.horizontal[X];if(!S){N=ca(J.text);var K=s.layout.get("text-rotate").evaluate(b,{},k);S=new Yl(l,e,c,u,h,J,f,p,d,K)}var Q=1===J.positionedLines.length;if(O+=ec(t,e,J,a,s,d,b,g,P,n.vertical?gl.horizontal:gl.horizontalOnly,Q?Object.keys(n.horizontal):[X],B,R,w,k),Q)break}n.vertical&&(D+=ec(t,e,n.vertical,a,s,d,b,g,P,gl.vertical,["vertical"],B,F,w,k));var $=S?S.boxStartIndex:t.collisionBoxArray.length,tt=S?S.boxEndIndex:t.collisionBoxArray.length,et=C?C.boxStartIndex:t.collisionBoxArray.length,rt=C?C.boxEndIndex:t.collisionBoxArray.length,nt=E?E.boxStartIndex:t.collisionBoxArray.length,it=E?E.boxEndIndex:t.collisionBoxArray.length,at=L?L.boxStartIndex:t.collisionBoxArray.length,ot=L?L.boxEndIndex:t.collisionBoxArray.length,st=-1,lt=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};st=lt(S,st),st=lt(C,st),st=lt(E,st);var ct=(st=lt(L,st))>-1?1:0;ct&&(st*=M/24),t.glyphOffsetArray.length>=hc.MAX_GLYPHS&&_("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,$,tt,et,rt,nt,it,at,ot,c,O,D,I,z,ct,0,f,j,U,st)}(t,h,s,r,n,i,f,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,M,l,x,T,A,d,e,a,c,u,o)};if("line"===S)for(var P=0,I=jl(e.geometry,0,0,8192,8192);P<I.length;P+=1)for(var z=I[P],O=0,D=Nl(z,b,k,r.vertical||g,n,24,y,t.overscaling,8192);O<D.length;O+=1){var R=D[O];g&&nc(t,g.text,E,R)||L(z,R)}else if("line-center"===S)for(var F=0,B=e.geometry;F<B.length;F+=1){var N=B[F];if(N.length>1){var j=Bl(N,k,r.vertical||g,n,24,y);j&&L(N,j)}}else if("Polygon"===e.type)for(var U=0,V=Qo(e.geometry,0);U<V.length;U+=1){var q=V[U],H=Xl(q,16);L(q[0],new Cl(H.x,H.y,0))}else if("LineString"===e.type)for(var G=0,Y=e.geometry;G<Y.length;G+=1){var W=Y[G];L(W,new Cl(W[0].x,W[0].y,0))}else if("Point"===e.type)for(var Z=0,X=e.geometry;Z<X.length;Z+=1)for(var J=0,K=X[Z];J<K.length;J+=1){var Q=K[J];L([Q],new Cl(Q.x,Q.y,0))}}(t,a,p,N,n,c,h,f,w,j,o)},x=0,b=t.features;x<b.length;x+=1)y();a&&t.generateCollisionDebugBuffers()},t.perspective=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(t[10]=(i+n)*(a=1/(n-i)),t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t},t.pick=function(t,e){for(var r={},n=0;n<e.length;n++){var i=e[n];i in t&&(r[i]=t[i])}return r},t.plugin=ni,t.polygonIntersectsPolygon=Ba,t.postMapLoadEvent=it,t.postTurnstileEvent=rt,t.potpack=hl,t.refProperties=["type","source","source-layer","minzoom","maxzoom","filter","layout"],t.register=Dn,t.registerForPluginStateChange=function(t){return t({pluginStatus:Jn,pluginURL:Kn}),ti.on("pluginStateChange",t),t},t.rotate=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);return t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l,t},t.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},t.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},t.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},t.scale$1=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t},t.scale$2=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t},t.setCacheLimits=function(t,e){at=t,ot=e},t.setRTLTextPlugin=function(t,e,r){if(void 0===r&&(r=!1),"deferred"===Jn||"loading"===Jn||"loaded"===Jn)throw new Error("setRTLTextPlugin cannot be called multiple times.");Kn=R.resolveURL(t),Jn="deferred",Xn=e,$n(),r||ri()},t.sphericalToCartesian=function(t){var e=t[0],r=t[1],n=t[2];return r+=90,r*=Math.PI/180,n*=Math.PI/180,{x:e*Math.cos(r)*Math.sin(n),y:e*Math.sin(r)*Math.sin(n),z:e*Math.cos(n)}},t.sqrLen=function(t){var e=t[0],r=t[1];return e*e+r*r},t.styleSpec=At,t.sub=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t},t.symbolSize=zl,t.transformMat3=function(t,e,r){var n=e[0],i=e[1],a=e[2];return t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8],t},t.transformMat4=ao,t.translate=function(t,e,r){var n,i,a,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];return e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n=e[0],t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=i*g+l*m+f*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]),t},t.triggerPluginCompletionEvent=Qn,t.uniqueId=f,t.validateCustomStyleLayer=function(t){var e=[],r=t.id;return void 0===r&&e.push({message:"layers."+r+': missing required property "id"'}),void 0===t.render&&e.push({message:"layers."+r+': missing required method "render"'}),t.renderingMode&&"2d"!==t.renderingMode&&"3d"!==t.renderingMode&&e.push({message:"layers."+r+': property "renderingMode" must be either "2d" or "3d"'}),e},t.validateLight=An,t.validateStyle=Mn,t.values=function(t){var e=[];for(var r in t)e.push(t[r]);return e},t.vectorTile=gs,t.version="1.10.1",t.warnOnce=_,t.webpSupported=B,t.window=self,t.wrap=c})),n(0,(function(t){function e(t){var r=typeof t;if("number"===r||"boolean"===r||"string"===r||null==t)return JSON.stringify(t);if(Array.isArray(t)){for(var n="[",i=0,a=t;i<a.length;i+=1)n+=e(a[i])+",";return n+"]"}for(var o=Object.keys(t).sort(),s="{",l=0;l<o.length;l++)s+=JSON.stringify(o[l])+":"+e(t[o[l]])+",";return s+"}"}function r(r){for(var n="",i=0,a=t.refProperties;i<a.length;i+=1)n+="/"+e(r[a[i]]);return n}var n=function(t){this.keyCache={},t&&this.replace(t)};n.prototype.replace=function(t){this._layerConfigs={},this._layers={},this.update(t,[])},n.prototype.update=function(e,n){for(var i=this,a=0,o=e;a<o.length;a+=1){var s=o[a];this._layerConfigs[s.id]=s;var l=this._layers[s.id]=t.createStyleLayer(s);l._featureFilter=t.featureFilter(l.filter),this.keyCache[s.id]&&delete this.keyCache[s.id]}for(var c=0,u=n;c<u.length;c+=1){var h=u[c];delete this.keyCache[h],delete this._layerConfigs[h],delete this._layers[h]}this.familiesBySource={};for(var f=0,p=function(t,e){for(var n={},i=0;i<t.length;i++){var a=e&&e[t[i].id]||r(t[i]);e&&(e[t[i].id]=a);var o=n[a];o||(o=n[a]=[]),o.push(t[i])}var s=[];for(var l in n)s.push(n[l]);return s}(t.values(this._layerConfigs),this.keyCache);f<p.length;f+=1){var d=p[f].map((function(t){return i._layers[t.id]})),g=d[0];if("none"!==g.visibility){var m=g.source||"",v=this.familiesBySource[m];v||(v=this.familiesBySource[m]={});var y=g.sourceLayer||"_geojsonTileLayer",x=v[y];x||(x=v[y]=[]),x.push(d)}}};var i=function(e){var r={},n=[];for(var i in e){var a=e[i],o=r[i]={};for(var s in a){var l=a[+s];if(l&&0!==l.bitmap.width&&0!==l.bitmap.height){var c={x:0,y:0,w:l.bitmap.width+2,h:l.bitmap.height+2};n.push(c),o[s]={rect:c,metrics:l.metrics}}}}var u=t.potpack(n),h=new t.AlphaImage({width:u.w||1,height:u.h||1});for(var f in e){var p=e[f];for(var d in p){var g=p[+d];if(g&&0!==g.bitmap.width&&0!==g.bitmap.height){var m=r[f][d].rect;t.AlphaImage.copy(g.bitmap,h,{x:0,y:0},{x:m.x+1,y:m.y+1},g.bitmap)}}}this.image=h,this.positions=r};t.register("GlyphAtlas",i);var a=function(e){this.tileID=new t.OverscaledTileID(e.tileID.overscaledZ,e.tileID.wrap,e.tileID.canonical.z,e.tileID.canonical.x,e.tileID.canonical.y),this.uid=e.uid,this.zoom=e.zoom,this.pixelRatio=e.pixelRatio,this.tileSize=e.tileSize,this.source=e.source,this.overscaling=this.tileID.overscaleFactor(),this.showCollisionBoxes=e.showCollisionBoxes,this.collectResourceTiming=!!e.collectResourceTiming,this.returnDependencies=!!e.returnDependencies,this.promoteId=e.promoteId};function o(e,r,n){for(var i=new t.EvaluationParameters(r),a=0,o=e;a<o.length;a+=1)o[a].recalculate(i,n)}function s(e,r){var n=t.getArrayBuffer(e.request,(function(e,n,i,a){e?r(e):n&&r(null,{vectorTile:new t.vectorTile.VectorTile(new t.pbf(n)),rawData:n,cacheControl:i,expires:a})}));return function(){n.cancel(),r()}}a.prototype.parse=function(e,r,n,a,s){var l=this;this.status="parsing",this.data=e,this.collisionBoxArray=new t.CollisionBoxArray;var c=new t.DictionaryCoder(Object.keys(e.layers).sort()),u=new t.FeatureIndex(this.tileID,this.promoteId);u.bucketLayerIDs=[];var h,f,p,d,g={},m={featureIndex:u,iconDependencies:{},patternDependencies:{},glyphDependencies:{},availableImages:n},v=r.familiesBySource[this.source];for(var y in v){var x=e.layers[y];if(x){1===x.version&&t.warnOnce('Vector tile source "'+this.source+'" layer "'+y+'" does not use vector tile spec v2 and therefore may have some rendering errors.');for(var b=c.encode(y),_=[],w=0;w<x.length;w++){var T=x.feature(w),k=u.getId(T,y);_.push({feature:T,id:k,index:w,sourceLayerIndex:b})}for(var M=0,A=v[y];M<A.length;M+=1){var S=A[M],E=S[0];E.minzoom&&this.zoom<Math.floor(E.minzoom)||E.maxzoom&&this.zoom>=E.maxzoom||"none"!==E.visibility&&(o(S,this.zoom,n),(g[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,m,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var C=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(C).length?a.send("getGlyphs",{uid:this.uid,stacks:C},(function(t,e){h||(h=t,f=e,I.call(l))})):f={};var L=Object.keys(m.iconDependencies);L.length?a.send("getImages",{icons:L,source:this.source,tileID:this.tileID,type:"icons"},(function(t,e){h||(h=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(h)return s(h);if(f&&p&&d){var e=new i(f),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,f,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(m,this.tileID.canonical,r.patternPositions))}this.status="done",s(null,{buckets:t.values(g).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?f:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send("getImages",{icons:P,source:this.source,tileID:this.tileID,type:"patterns"},(function(t,e){h||(h=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status="done",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var h=o.finish();h&&(u.resourceTiming=JSON.parse(JSON.stringify(h)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};"parsing"===o.status?o.reloadCallback=s:"done"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};function h(t,e){if(0!==t.length){f(t[0],e);for(var r=1;r<t.length;r++)f(t[r],!e)}}function f(t,e){for(var r=0,n=0,i=t.length,a=i-1;n<i;a=n++)r+=(t[n][0]-t[a][0])*(t[a][1]+t[n][1]);r>=0!=!!e&&t.reverse()}u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext("2d")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var p=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,d=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,"id"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};d.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r<n.length;r+=1){var i=n[r];e.push([new t.Point$1(i[0],i[1])])}return e}for(var a=[],o=0,s=this._feature.geometry;o<s.length;o+=1){for(var l=[],c=0,u=s[o];c<u.length;c+=1){var h=u[c];l.push(new t.Point$1(h[0],h[1]))}a.push(l)}return a},d.prototype.toGeoJSON=function(t,e,r){return p.call(this,t,e,r)};var g=function(e){this.layers={_geojsonTileLayer:this},this.name="_geojsonTileLayer",this.extent=t.EXTENT,this.length=e.length,this._features=e};g.prototype.feature=function(t){return new d(this._features[t])};var m=t.vectorTile.VectorTileFeature,v=y;function y(t,e){this.options=e||{},this.features=t,this.length=t.length}function x(t,e){this.id="number"==typeof t.id?t.id:void 0,this.type=t.type,this.rawGeometry=1===t.type?[t.geometry]:t.geometry,this.properties=t.tags,this.extent=e||4096}y.prototype.feature=function(t){return new x(this.features[t],this.options.extent)},x.prototype.loadGeometry=function(){var e=this.rawGeometry;this.geometry=[];for(var r=0;r<e.length;r++){for(var n=e[r],i=[],a=0;a<n.length;a++)i.push(new t.Point$1(n[a][0],n[a][1]));this.geometry.push(i)}return this.geometry},x.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},x.prototype.toGeoJSON=m.prototype.toGeoJSON;var b=w,_=v;function w(e){var r=new t.pbf;return function(t,e){for(var r in t.layers)e.writeMessage(3,T,t.layers[r])}(e,r),r.finish()}function T(t,e){var r;e.writeVarintField(15,t.version||1),e.writeStringField(1,t.name||""),e.writeVarintField(5,t.extent||4096);var n={keys:[],values:[],keycache:{},valuecache:{}};for(r=0;r<t.length;r++)n.feature=t.feature(r),e.writeMessage(2,k,n);var i=n.keys;for(r=0;r<i.length;r++)e.writeStringField(3,i[r]);var a=n.values;for(r=0;r<a.length;r++)e.writeMessage(4,C,a[r])}function k(t,e){var r=t.feature;void 0!==r.id&&e.writeVarintField(1,r.id),e.writeMessage(2,M,t),e.writeVarintField(3,r.type),e.writeMessage(4,E,r)}function M(t,e){var r=t.feature,n=t.keys,i=t.values,a=t.keycache,o=t.valuecache;for(var s in r.properties){var l=a[s];void 0===l&&(n.push(s),a[s]=l=n.length-1),e.writeVarint(l);var c=r.properties[s],u=typeof c;"string"!==u&&"boolean"!==u&&"number"!==u&&(c=JSON.stringify(c));var h=u+":"+c,f=o[h];void 0===f&&(i.push(c),o[h]=f=i.length-1),e.writeVarint(f)}}function A(t,e){return(e<<3)+(7&t)}function S(t){return t<<1^t>>31}function E(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s<o;s++){var l=r[s],c=1;1===n&&(c=l.length),e.writeVarint(A(1,c));for(var u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(A(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(A(7,1))}}function C(t,e){var r=typeof t;"string"===r?e.writeStringField(1,t):"boolean"===r?e.writeBooleanField(7,t):"number"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}function L(t,e,r,n){P(t,r,n),P(e,2*r,2*n),P(e,2*r+1,2*n+1)}function P(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function I(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}b.fromVectorTileJs=w,b.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new v(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},b.GeoJSONWrapper=_;var z=function(t){return t[0]},O=function(t){return t[1]},D=function(t,e,r,n,i){void 0===e&&(e=z),void 0===r&&(r=O),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l<t.length;l++)o[l]=l,s[2*l]=e(t[l]),s[2*l+1]=r(t[l]);!function t(e,r,n,i,a,o){if(!(a-i<=n)){var s=i+a>>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),h=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1);t(e,r,n,Math.max(i,Math.floor(n-l*u/s+h)),Math.min(a,Math.floor(n+(s-l)*u/s+h)),o)}var f=r[2*n+o],p=i,d=a;for(L(e,r,i,n),r[2*a+o]>f&&L(e,r,i,a);p<d;){for(L(e,r,p,d),p++,d--;r[2*p+o]<f;)p++;for(;r[2*d+o]>f;)d--}r[2*i+o]===f?L(e,r,i,d):L(e,r,++d,a),d<=n&&(i=d+1),n<=d&&(a=d-1)}}(e,r,s,i,a,o%2),t(e,r,n,i,s-1,o+1),t(e,r,n,s+1,a,o+1)}}(o,s,n,0,o.length-1,0)};D.prototype.range=function(t,e,r,n){return function(t,e,r,n,i,a,o){for(var s,l,c=[0,t.length-1,0],u=[];c.length;){var h=c.pop(),f=c.pop(),p=c.pop();if(f-p<=o)for(var d=p;d<=f;d++)l=e[2*d+1],(s=e[2*d])>=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var g=Math.floor((p+f)/2);l=e[2*g+1],(s=e[2*g])>=r&&s<=i&&l>=n&&l<=a&&u.push(t[g]);var m=(h+1)%2;(0===h?r<=s:n<=l)&&(c.push(p),c.push(g-1),c.push(m)),(0===h?i>=s:a>=l)&&(c.push(g+1),c.push(f),c.push(m))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},D.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),h=o.pop();if(u-h<=a)for(var f=h;f<=u;f++)I(e[2*f],e[2*f+1],r,n)<=l&&s.push(t[f]);else{var p=Math.floor((h+u)/2),d=e[2*p],g=e[2*p+1];I(d,g,r,n)<=l&&s.push(t[p]);var m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(h),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var R={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},F=function(t){this.options=H(Object.create(R),t),this.trees=new Array(this.options.maxZoom+1)};function B(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function N(t,e){var r=t.geometry.coordinates,n=r[1];return{x:V(r[0]),y:q(n),zoom:1/0,index:e,parentId:-1}}function j(t){return{type:"Feature",id:t.id,properties:U(t),geometry:{type:"Point",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function U(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+"k":e>=1e3?Math.round(e/100)/10+"k":e;return H(H({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function V(t){return t/360+.5}function q(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function H(t,e){for(var r in e)t[r]=e[r];return t}function G(t){return t.x}function Y(t){return t.y}function W(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Z(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if("Point"===r||"MultiPoint"===r||"LineString"===r)X(t,e);else if("Polygon"===r||"MultiLineString"===r)for(var n=0;n<e.length;n++)X(t,e[n]);else if("MultiPolygon"===r)for(n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)X(t,e[n][i])}(i),i}function X(t,e){for(var r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function J(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),"Point"===a)K(i,s);else if("MultiPoint"===a)for(var c=0;c<i.length;c++)K(i[c],s);else if("LineString"===a)Q(i,s,o,!1);else if("MultiLineString"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)Q(i[c],s=[],o,!1),t.push(Z(l,"LineString",s,e.properties));return}$(i,s,o,!1)}else if("Polygon"===a)$(i,s,o,!0);else{if("MultiPolygon"!==a){if("GeometryCollection"===a){for(c=0;c<e.geometry.geometries.length;c++)J(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error("Input data is not a valid GeoJSON object.")}for(c=0;c<i.length;c++){var u=[];$(i[c],u,o,!0),s.push(u)}}t.push(Z(l,a,s,e.properties))}}function K(t,e){e.push(tt(t[0])),e.push(et(t[1])),e.push(0)}function Q(t,e,r,n){for(var i,a,o=0,s=0;s<t.length;s++){var l=tt(t[s][0]),c=et(t[s][1]);e.push(l),e.push(c),e.push(0),s>0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],h=e[n],f=e[n+1],p=r+3;p<n;p+=3){var d=W(e[p],e[p+1],c,u,h,f);if(d>o)a=p,o=d;else if(d===o){var g=Math.abs(p-s);g<l&&(a=p,l=g)}}o>i&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function $(t,e,r,n){for(var i=0;i<t.length;i++){var a=[];Q(t[i],a,r,n),e.push(a)}}function tt(t){return t/360+.5}function et(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function rt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o<n)return t;if(o<r||a>=n)return null;for(var l=[],c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if("Point"===f||"MultiPoint"===f)nt(h,g,r,n,i);else if("LineString"===f)it(h,g,r,n,i,!1,s.lineMetrics);else if("MultiLineString"===f)ot(h,g,r,n,i,!1);else if("Polygon"===f)ot(h,g,r,n,i,!0);else if("MultiPolygon"===f)for(var m=0;m<h.length;m++){var v=[];ot(h[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&"LineString"===f){for(m=0;m<g.length;m++)l.push(Z(u.id,f,g[m],u.tags));continue}"LineString"!==f&&"MultiLineString"!==f||(1===g.length?(f="LineString",g=g[0]):f="MultiLineString"),"Point"!==f&&"MultiPoint"!==f||(f=3===g.length?"Point":"MultiPoint"),l.push(Z(u.id,f,g,u.tags))}}}return l.length?l:null}function nt(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function it(t,e,r,n,i,a,o){for(var s,l,c=at(t),u=0===i?lt:ct,h=t.start,f=0;f<t.length-3;f+=3){var p=t[f],d=t[f+1],g=t[f+2],m=t[f+3],v=t[f+4],y=0===i?p:d,x=0===i?m:v,b=!1;o&&(s=Math.sqrt(Math.pow(p-m,2)+Math.pow(d-v,2))),y<r?x>r&&(l=u(c,p,d,m,v,r),o&&(c.start=h+s*l)):y>n?x<n&&(l=u(c,p,d,m,v,n),o&&(c.start=h+s*l)):st(c,p,d,g),x<r&&y>=r&&(l=u(c,p,d,m,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,m,v,n),b=!0),!a&&b&&(o&&(c.end=h+s*l),e.push(c),c=at(t)),o&&(h+=s)}var _=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===i?p:d)>=r&&y<=n&&st(c,p,d,g),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&st(c,c[0],c[1],c[2]),c.length&&e.push(c)}function at(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ot(t,e,r,n,i,a){for(var o=0;o<t.length;o++)it(t[o],e,r,n,i,a,!1)}function st(t,e,r,n){t.push(e),t.push(r),t.push(n)}function lt(t,e,r,n,i,a){var o=(a-e)/(n-e);return t.push(a),t.push(r+(i-r)*o),t.push(1),o}function ct(t,e,r,n,i,a){var o=(a-r)/(i-r);return t.push(e+(n-e)*o),t.push(a),t.push(1),o}function ut(t,e){for(var r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=ht(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(ht(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(ht(a.geometry[s][c],e));i.push(l)}r.push(Z(a.id,o,i,a.tags))}return r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var h=[];for(i=0;i<c[n].length;i+=2)h.push(pt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function dt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)mt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)mt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var f={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,"Feature"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=rt(t,1,-1-r,r,0,-1,2,e),a=rt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=ut(i,1).concat(n)),a&&(n=n.concat(ut(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[i+1]=new D(s,G,Y,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(a),V(i),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=i.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.radius/a.extent,s=(r-o)/i,l=(r+1+o)/i,c={features:[]};return this._addTileFeatures(n.range((e-o)/i,s,(e+1+o)/i,l),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-o/i,s,1,l),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,s,o/i,l),n.points,-1,r,i,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},F.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.reduce,a=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,a),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=i&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,i&&(p||(p=this._map(s,!0)),i(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time("creation"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time("clipping");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,h),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?ft(this.tiles[s],i):null):null};var bt=function(e){function r(t,r,n,i){e.call(this,t,r,n,xt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));!function t(e,r){var n,i=e&&e.type;if("FeatureCollection"===i)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if("GeometryCollection"===i)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if("Feature"===i)t(e.geometry,r);else if("Polygon"===i)h(e.coordinates,r);else if("MultiPolygon"===i)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",h]]:p);i[h]=d.value,a[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new this.workerSourceTypes[e]({send:function(e,r,i){n.actor.send(e,r,i,t)}},this.getLayerIndex(t),this.getAvailableImages(t))),this.workerSources[t][e][r]},_t.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},_t.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new _t(t.window)),_t})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return"undefined"==typeof window||"undefined"==typeof document?"not a browser":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?"JSON"in window&&"parse"in JSON&&"stringify"in JSON?function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?"Uint8ClampedArray"in window?ArrayBuffer.isView?function(){var t=document.createElement("canvas");t.width=t.height=1;var e=t.getContext("2d");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,"void main() {}"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:"insufficient WebGL support"):"insufficient Canvas/getImageData support":"insufficient ArrayBuffer support":"insufficient Uint8ClampedArray support":"insufficient worker support":"insufficient JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,"passive"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,"passive"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf("MAC")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchX" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchY" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "content" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1)this.images[i[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1)i.push({stack:a,id:s[o]});t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:i=s*r,right:a=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.width*(this.nextRow+r+i),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=i/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[a+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=new e.Actor(i[a],n,this.id);o.name="Worker "+a,this.actors.push(o)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor,e.request=this.actor.send(i,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=Math.max(i-r,a-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+i)/2*h),Math.floor((n+a)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(i[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.LESS},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)},e}(q),rt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}},e}(q),nt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),it=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),at=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(q),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(q),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=this.framebuffer=t.gl.createFramebuffer();this.colorAttachment=new wt(t,i),n&&(this.depthAttachment=new Tt(t,i))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),i="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(i)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var i=this._tiles[n];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),r[i.tileID.key]=i}for(var a in this._tiles=r,this._timers)clearTimeout(this._timers[a]),delete this._timers[a];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1)this._loadedParentTiles[o[a]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||"_geojsonTileLayer",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||"_geojsonTileLayer",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||"_geojsonTileLayer",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker(Yi.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot="mapboxgl_preloaded_worker_pool",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function Qt(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,a).point,M={},A=ae(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ae(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,i,a,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ie(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ae(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(i&&!n){var M=ie(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=$t(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,a),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,a),I=ie(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,i){var a=$t(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function se(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Jt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Jt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return a?o.filter(a):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:i,seenUids:{box:{},circle:{}}},a),i?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(a,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},i),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Jt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(i.call(this,t,e,r,n,this.xCellCount*p+f,a,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,i){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:i},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ue(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,i){this.text=new pe(t?t.text:null,e,r,i),this.icon=new pe(t?t.icon:null,e,n,i)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function be(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}_e.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ve(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get("text-optional"),v=s.get("icon-optional"),y=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,i.markUsedOrientation(o,n=a,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=i.attemptAnchorPlacement(N[d%N.length],t,a,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding");P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get("icon-ignore-placement"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,i){var a;a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=a>=0&&l!==a?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),c=a.get("text-variable-anchor"),u="map"===a.get("text-rotation-alignment"),h="map"===a.get("text-pitch-alignment"),f="none"!==a.get("icon-text-fit"),p=new de(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=i.opacities[g];r[g]?m=o:m||(i.opacities[g]=m=p),r[g]=!0;var v=a.numIconVertices>0,y=i.placedOrientations[a.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=i.variableOffsets[a.crossTileID];T&&i.markUsedJustification(e,T.anchor,a,y);var k=i.placedOrientations[a.crossTileID];k&&(i.markUsedJustification(e,"left",a,k),i.markUsedOrientation(e,k,a))}if(v){var M=Le(m.icon),A=!(f&&a.verticalPlacedIconSymbolIndex&&x);a.placedIconSymbolIndex>=0&&(d(e.icon,a.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=m.icon.isHidden()),a.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,a.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=i.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?i.transform.angle:-i.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(a,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,i())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;)if(e.placeLayerBucketPart(a[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0;return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new _e(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1)delete this.usedCrossTileIDs[t][i[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},je=t.pick(Ut,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ue=t.pick(Ut,["setCenter","setZoom","setBearing","setPitch"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i,a=t.styleSpec.$root[n];a.required&&null!=(i="version"===n?r:"array"===a.type?[]:{})&&(e[n]=i)}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast("syncRTLPluginState",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=this._layers[n[r]];"custom"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(i=0,a=0;i<h.length;i++)d.hasOwnProperty(o=h[i])?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)g[g.length-1-i]!==(o=f[f.length-1-i])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-i]]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in je)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)i.push(h[u])}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=i.length-1;g>=0;g--){var m=i[g].feature;if(n[m.layer.id]<p)break;f.push(m),i.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=r[t[e].source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=a}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if("symbol"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];"symbol"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ge=vr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Ye=vr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),We=vr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Ze=vr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Xe=vr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Je=vr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),Ke=vr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),Qe=vr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),$e=vr("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),tr=vr("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),er=vr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),rr=vr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),nr=vr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ir=vr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),ar=vr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),or=vr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),sr=vr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),lr=vr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),cr=vr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),ur=vr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),hr=vr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),fr=vr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),pr=vr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),dr=vr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),gr=vr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),mr=vr("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function vr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ir,fillExtrusion:ar,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===i&&this.boundVertexOffset===a&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind()):this.freshBind(e,r,n,i,a,o,s)},xr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Ge.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)a.bindAttribLocation(this.program,f,h[f].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Tr=function(e,r,n,i,a,o,s){return t.extend(wr(e,r,n,i),_r(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(kr(e),_r(n,r,i))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Er=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=fe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var i=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,i){var a=e.transform,o=Br(r,a);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Fr=function(e,r,n,i,a){var o=e.lineAtlas,s=Br(r,e.transform),l="round"===n.layout.get("line-cap"),c=o.getDash(i.from,l),u=o.getDash(i.to,l),h=c.width*a.fromScale,f=u.width*a.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:a.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var jr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Ur(i.paint.get("raster-hue-rotate"))};var a,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(qr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Hr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram("collisionBox"),h=[],f=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Qr(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:i[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=a.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function tn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m="map"===l,v="map"===c,y=m&&"point"!==n.layout.get("symbol-placement"),x=m&&!v&&!y,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=a?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,a,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||"composite"===I.kind||"camera"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get("icon-size").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W="none"!==n.layout.get("icon-text-fit")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,a,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||a&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,a,R,!0):qr(I.kind,D,x,v,e,Z,X,J,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var it=nt[rt],at=it.state;if(p.activeTexture.set(d.TEXTURE0),at.atlasTexture.bind(at.atlasInterpolation,d.CLAMP_TO_EDGE),at.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),at.atlasTextureIcon&&at.atlasTextureIcon.bind(at.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),at.isSDF){var ot=at.uniformValues;at.hasHalo&&(ot.u_is_halo=1,en(at.buffers,it.segments,n,e,at.program,_,h,f,ot)),ot.u_is_halo=0}en(at.buffers,it.segments,n,e,at.program,_,h,f,at.uniformValues)}}function en(t,e,r,n,i,a,o,s,l){var c=n.context;i.draw(c,c.gl.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=f.LINES):(l=d?"fillPattern":"fill",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c="fillOutlinePattern"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),M=r.paint.get("fill-extrusion-vertical-gradient"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram("hillshade");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var i=n.paint.get("hillshade-shadow-color"),a=n.paint.get("hillshade-highlight-color"),o=n.paint.get("hillshade-accent-color"),s=n.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===n.paint.get("hillshade-illumination-anchor")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get("hillshade-exaggeration"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,i,a,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),"$debug",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+" "+f+"kb"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),"$debug",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c="map"===a,u="map"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x="none"!==n.layout.get("icon-text-fit")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&tn(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&tn(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Xr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram("heatmap",p).draw(a,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get("heatmap-intensity")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get("heatmap-opacity")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),h=u.constantOr(1),f=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=h?"linePattern":c?"lineSDF":f?"lineGradient":"line",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var h=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);rn(e,r,n,i,h,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))nn(t,e,r,n,a,At.disabled,St.disabled),nn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&"offscreen"===t.renderPass?on(t,p,r,a,o,At.disabled,s):"translucent"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,"opaque"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,i,t,c,{tileID:x,tileSize:l},m):Yr(b,i,n);d.draw(a,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o="3d"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1)this.style._layers[i[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):"opaque"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++)if(this.style._layers[i[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass="offscreen";for(var m=0,v=i;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];("custom"===y.type||x.length)&&this.renderLayer(this,a[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[i[this.currentLayer]],_=a[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var T=this.style._layers[i[this.currentLayer]],k=a[T.source],M=("symbol"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},yn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:fe(r,n[0],this.transform.zoom),a?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new xn(a,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new bn(n,i)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[1]/i,s=n[1]/a,l=r[2]/i,c=n[2]/a,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/i,n[0]/a,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),i=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),a=this.point,o=a.x,s=a.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*i+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,i,a;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,i=null,a=function(){i=null,n&&(r(),i=setTimeout(a,300),n=!1)},function(){return n=!0,i||a(),i})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u="";if(u+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||c)&&(u+="/"+Math.round(10*l)/10),c&&(u+="/"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===h?(f=!0,e+"="+u):t})).filter((function(t){return t}));return f||p.push(h+"="+u),"#"+p.join("&")}return"#"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),On=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Bn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1)r._add(i[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var i in this.touches){var a=n[i];(!a||a.dist(this.touches[i])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Nn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[1],a=Xn(r,e,n[0]),o=Xn(r,e,i);if(a&&o){var s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[1],o=Xn(n,e,i[0]),s=Xn(n,e,a);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ti(t){return Math.abs(t.y)>Math.abs(t.x)}var ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ti(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ti(t)&&ti(e)&&a}},e}(Zn),ri={panStep:100,bearingStep:15,pitchStep:10},ni=function(){var t=ri;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ii(t){return t*(2-t)}ni.prototype.reset=function(){this._active=!1},ni.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:ii,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ai=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};ai.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ai.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ai.prototype.isEnabled=function(){return!!this._enabled},ai.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ai.prototype.isZooming=function(){return!!this._zooming},ai.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},ai.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ai.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ai.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},ai.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ai.prototype.renderFrame=function(){return this._onScrollFrame()},ai.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if("wheel"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ai.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ai.prototype.reset=function(){this._active=!1};var oi=function(t,e){this._clickZoom=t,this._tapZoom=e};oi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var si=function(){this.reset()};si.prototype.reset=function(){this._active=!1},si.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},si.prototype.enable=function(){this._enabled=!0},si.prototype.disable=function(){this._enabled=!1,this.reset()},si.prototype.isEnabled=function(){return this._enabled},si.prototype.isActive=function(){return this._active};var li=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};li.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},li.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},li.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},li.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},li.prototype.touchcancel=function(){this.reset()},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ci.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},ci.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},ci.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ci.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ui=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ui.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ui.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ui.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ui.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var hi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};hi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},hi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},hi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},hi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},hi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},hi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function di(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var gi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};gi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0];r.removeEventListener(a,i[1],a===t.window.document?this.handleWindowEvent:this.handleEvent,i[2])}},gi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add("boxZoom",n);var i=new Vn,a=new si;e.doubleClickZoom=new oi(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new li;this._add("tapDragZoom",o);var s=e.touchPitch=new ei;this._add("touchPitch",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ui(t,l,c),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",c,["mouseRotate"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ci(r,u,h),this._add("mousePan",u),this._add("touchPan",h,["touchZoom","touchRotate"]);var f=new $n,p=new Kn;e.touchZoomRotate=new hi(r,p,f,o),this._add("touchRotate",f,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new ai(e,this);this._add("scrollZoom",d,["mousePan"]);var g=e.keyboard=new ni;this._add("keyboard",g),this._add("blockableMapEvent",new Fn(e));for(var m=0,v=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},gi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},gi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},gi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},gi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},gi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},gi.prototype.isMoving=function(){return Boolean(fi(this._eventsInProgress))||this.isZooming()},gi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},gi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},gi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r];this._el.contains(i.target)&&e.push(i)}return e},gi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||di(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||di(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},gi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},gi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},gi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!di(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},gi.prototype._fireEvents=function(e,r){var n=this,i=fi(this._eventsInProgress),a=fi(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+"start"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+"end"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fi(this._eventsInProgress);if((i||a)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event("moveend",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},gi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},gi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var mi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=new t.Point(x.x+(i.padding.left-i.padding.right)/2,x.y+(i.padding.top-i.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c="zoom"in e?+e.zoom:a,u="bearing"in e?this._normalizeBearing(e.bearing,o):o,h="pitch"in e?+e.pitch:s,f="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h="bearing"in e?this._normalizeBearing(e.bearing,s):s,f="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration="duration"in e?+e.duration:1e3*O/("screenSpeed"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),vi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};vi.prototype.getDefaultPosition=function(){return"bottom-right"},vi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},vi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},vi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},vi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},vi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},vi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var yi=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};yi.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},yi.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},yi.prototype.getDefaultPosition=function(){return"bottom-left"},yi.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},yi.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},yi.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var xi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},xi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var bi={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},_i=t.window.HTMLImageElement,wi=t.window.HTMLElement,Ti=t.window.ImageBitmap,ki={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Mi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},ki,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error("maxPitch must be less than or equal to 60");var i=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},bi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof wi))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new gi(this,e),this._hash=e.hash&&new kn("string"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new vi({customAttribution:e.customAttribution})),this.addControl(new yi,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),(i.prototype=Object.create(n&&n.prototype)).constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new zn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new zn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new zn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this)},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _i||Ti&&r instanceof Ti){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof _i||Ti&&r instanceof Ti?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;return void 0===a||void 0===o?this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`"))):a!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image"))):(n.data.replace(s,!(r instanceof _i||Ti&&r instanceof Ti)),void this.style.updateImage(e,n))},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Ai(this._canvasContainer),Ai(this._controlContainer),Ai(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(mi);function Ai(t){t.parentNode&&t.parentNode.removeChild(t)}var Si={showCompass:!0,showZoom:!0,visualizePitch:!1},Ei=function(e){var n=this;this.options=t.extend({},Si,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Ei.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ei.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Ei.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ci(this._map,this._compass,this.options.visualizePitch)),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ei.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Ei.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ci=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Li(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ci.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ci.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ci.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ci.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ci.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ci.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ci.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ci.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ci.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ci.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ci.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Ii(t,e,r){var n=t.classList;for(var i in Pi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var zi,Oi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var c=r.createNS("http://www.w3.org/2000/svg","g");c.setAttributeNS(null,"transform","translate(3.0, 29.0)"),c.setAttributeNS(null,"fill","#000000");for(var u=0,h=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<h.length;u+=1){var f=h[u],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",f.rx),p.setAttributeNS(null,"ry",f.ry),c.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var g=r.createNS("http://www.w3.org/2000/svg","path");g.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(g);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"opacity","0.25"),m.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),m.appendChild(v);var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(6.0, 7.0)"),y.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ii(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Li(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Di={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ri=0,Fi=!1,Bi=function(e){function n(r){e.call(this),this.options=t.extend({},Di,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==zi?n(zi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){n(zi="denied"!==t.state)})):n(zi=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Ri=0,Fi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fi)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Oi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Oi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||e.originalEvent&&"resize"===e.originalEvent.type||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Ri--,Fi=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Ri>1?(e={maximumAge:6e5,timeout:0},Fi=!0):(e=this.options.positionOptions,Fi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ni={maxWidth:100,unit:"metric"},ji=function(e){this.options=t.extend({},Ni,e),t.bindAll(["_onMove","setUnit"],this)};function Ui(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;l>5280?Vi(e,n,l/5280,t._getUIString("ScaleControl.Miles")):Vi(e,n,l,t._getUIString("ScaleControl.Feet"))}else r&&"nautical"===r.unit?Vi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles")):s>=1e3?Vi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Vi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Vi(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*(o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+"px",t.innerHTML=s+"&nbsp;"+n}ji.prototype.getDefaultPosition=function(){return"bottom-left"},ji.prototype._onMove=function(){Ui(this._map,this._container,this.options)},ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},ji.prototype.setUnit=function(t){this.options.unit=t,Ui(this._map,this._container,this.options)};var qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},qi.prototype._isFullscreen=function(){return this._fullscreen},qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Hi={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Gi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Hi),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Li(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),a=this.options.anchor,o=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?["top"]:i.y>this._map.transform.height-c?["bottom"]:[],i.x<l/2?s.push("left"):i.x>this._map.transform.width-l/2&&s.push("right"),a=0===s.length?"bottom":s.join("-")}var u=i.add(o[a]).round();r.setTransform(this._container,Pi[a]+" translate("+u.x+"px,"+u.y+"px)"),Ii(this._container,a,"popup")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Yi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Mi,NavigationControl:Ei,GeolocateControl:Bi,AttributionControl:vi,ScaleControl:ji,FullscreenControl:qi,Popup:Gi,Marker:Oi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:""};return Yi})),r}))},{}],448:[function(t,e,r){"use strict";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t("convex-hull");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;h.push(a[u[s]].slice())}c.push(h)}return c}},{"convex-hull":135}],449:[function(t,e,r){var n=t("./normalize"),i=t("gl-mat4/create"),a=t("gl-mat4/clone"),o=t("gl-mat4/determinant"),s=t("gl-mat4/invert"),l=t("gl-mat4/transpose"),c={length:t("gl-vec3/length"),normalize:t("gl-vec3/normalize"),dot:t("gl-vec3/dot"),cross:t("gl-vec3/cross")},u=i(),h=i(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{"./normalize":450,"gl-mat4/clone":272,"gl-mat4/create":273,"gl-mat4/determinant":274,"gl-mat4/invert":278,"gl-mat4/transpose":289,"gl-vec3/cross":339,"gl-vec3/dot":344,"gl-vec3/length":354,"gl-vec3/normalize":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],451:[function(t,e,r){var n=t("gl-vec3/lerp"),i=t("mat4-recompose"),a=t("mat4-decompose"),o=t("gl-mat4/determinant"),s=t("quat-slerp"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{"gl-mat4/determinant":274,"gl-vec3/lerp":355,"mat4-decompose":449,"mat4-recompose":452,"quat-slerp":501}],452:[function(t,e,r){var n={identity:t("gl-mat4/identity"),translate:t("gl-mat4/translate"),multiply:t("gl-mat4/multiply"),create:t("gl-mat4/create"),scale:t("gl-mat4/scale"),fromRotationTranslation:t("gl-mat4/fromRotationTranslation")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{"gl-mat4/create":273,"gl-mat4/fromRotationTranslation":276,"gl-mat4/identity":277,"gl-mat4/multiply":280,"gl-mat4/scale":287,"gl-mat4/translate":288}],453:[function(t,e,r){"use strict";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){"use strict";var n=t("binary-search-bounds"),i=t("mat4-interpolate"),a=t("gl-mat4/invert"),o=t("gl-mat4/rotateX"),s=t("gl-mat4/rotateY"),l=t("gl-mat4/rotateZ"),c=t("gl-mat4/lookAt"),u=t("gl-mat4/translate"),h=(t("gl-mat4/scale"),t("gl-vec3/normalize")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else i(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;a(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var i=0,a=0;a<3;++a)i+=Math.pow(r[a]-e[a],2);i=Math.log(Math.sqrt(i)),this.computedRadius[0]=i},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var i=this.computedInverse;e&&s(i,i,e),r&&o(i,i,r),n&&l(i,i,n),this.setMatrix(t,a(this.computedMatrix,i))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var i=this.computedInverse;u(i,i,g),this.setMatrix(t,a(i,i))},d.translate=function(t,e,r,n){g[0]=e||0,g[1]=r||0,g[2]=n||0,this.recalcMatrix(t);var i=this.computedMatrix;u(i,i,g),this.setMatrix(t,i)},d.setMatrix=function(t,e){if(!(t<this.lastT())){this._time.push(t);for(var r=0;r<16;++r)this._components.push(e[r])}},d.setDistance=function(t,e){this.computedRadius[0]=e},d.setDistanceLimits=function(t,e){var r=this._limits;r[0]=t,r[1]=e},d.getDistanceLimits=function(t){var e=this._limits;return t?(t[0]=e[0],t[1]=e[1],t):e}},{"binary-search-bounds":455,"gl-mat4/invert":278,"gl-mat4/lookAt":279,"gl-mat4/rotateX":284,"gl-mat4/rotateY":285,"gl-mat4/rotateZ":286,"gl-mat4/scale":287,"gl-mat4/translate":288,"gl-vec3/normalize":361,"mat4-interpolate":451}],455:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],456:[function(t,e,r){"use strict";e.exports=function(t){var e=t.length;if(e<3){for(var r=new Array(e),i=0;i<e;++i)r[i]=i;return 2===e&&t[0][0]===t[1][0]&&t[0][1]===t[1][1]?[0]:r}var a=new Array(e);for(i=0;i<e;++i)a[i]=i;a.sort((function(e,r){var n=t[e][0]-t[r][0];return n||t[e][1]-t[r][1]}));var o=[a[0],a[1]],s=[a[0],a[1]];for(i=2;i<e;++i){for(var l=a[i],c=t[l],u=o.length;u>1&&n(t[o[u-2]],t[o[u-1]],c)<=0;)u-=1,o.pop();for(o.push(l),u=s.length;u>1&&n(t[s[u-2]],t[s[u-1]],c)>=0;)u-=1,s.pop();s.push(l)}r=new Array(s.length+o.length-2);for(var h=0,f=(i=0,o.length);i<f;++i)r[h++]=o[i];for(var p=s.length-2;p>0;--p)r[h++]=s[p];return r};var n=t("robust-orientation")[3]},{"robust-orientation":520}],457:[function(t,e,r){"use strict";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return"altKey"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),"shiftKey"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),"ctrlKey"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),"metaKey"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);"buttons"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function h(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function f(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener("mousemove",p),t.addEventListener("mousedown",d),t.addEventListener("mouseup",g),t.addEventListener("mouseleave",u),t.addEventListener("mouseenter",u),t.addEventListener("mouseout",u),t.addEventListener("mouseover",u),t.addEventListener("blur",h),t.addEventListener("keyup",f),t.addEventListener("keydown",f),t.addEventListener("keypress",f),t!==window&&(window.addEventListener("blur",h),window.addEventListener("keyup",f),window.addEventListener("keydown",f),window.addEventListener("keypress",f)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener("mousemove",p),t.removeEventListener("mousedown",d),t.removeEventListener("mouseup",g),t.removeEventListener("mouseleave",u),t.removeEventListener("mouseenter",u),t.removeEventListener("mouseout",u),t.removeEventListener("mouseover",u),t.removeEventListener("blur",h),t.removeEventListener("keyup",f),t.removeEventListener("keydown",f),t.removeEventListener("keypress",f),t!==window&&(window.removeEventListener("blur",h),window.removeEventListener("keyup",f),window.removeEventListener("keydown",f),window.removeEventListener("keypress",f))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t("mouse-event")},{"mouse-event":459}],458:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],459:[function(t,e,r){"use strict";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if("object"==typeof t){if("buttons"in t)return t.buttons;if("which"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if("button"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if("object"==typeof t){if("offsetX"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if("object"==typeof t){if("offsetY"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],460:[function(t,e,r){"use strict";var n=t("to-px");e.exports=function(t,e,r){"function"==typeof t&&(r=!!e,e=t,t=window);var i=n("ex",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener("wheel",a),a}},{"to-px":550}],461:[function(t,e,r){"use strict";var n=t("typedarray-pool");function i(t){return"a"+t}function a(t){return"d"+t}function o(t,e){return"c"+t+"_"+e}function s(t){return"s"+t}function l(t,e){return"t"+t+"_"+e}function c(t){return"o"+t}function u(t){return"x"+t}function h(t){return"p"+t}function f(t,e){return"d"+t+"_"+e}function p(t){return"i"+t}function d(t,e){return"u"+t+"_"+e}function g(t){return"b"+t}function m(t){return"y"+t}function v(t){return"e"+t}function y(t){return"v"+t}e.exports=function(t){function e(t){throw new Error("ndarray-extract-contour: "+t)}"object"!=typeof t&&e("Must specify arguments");var r=t.order;Array.isArray(r)||e("Must specify order");var b=t.arrayArguments||1;b<1&&e("Must have at least one array argument");var _=t.scalarArguments||0;_<0&&e("Scalar arg count must be > 0");"function"!=typeof t.vertex&&e("Must specify vertex creation function");"function"!=typeof t.cell&&e("Must specify cell creation function");"function"!=typeof t.phase&&e("Must specify phase function");for(var w=t.getters||[],T=new Array(b),k=0;k<b;++k)w.indexOf(k)>=0?T[k]=!0:T[k]=!1;return function(t,e,r,b,_,w){var T=w.length,k=_.length;if(k<2)throw new Error("ndarray-extract-contour: Dimension must be at least 2");for(var M="extractContour"+_.join("_"),A=[],S=[],E=[],C=0;C<T;++C)E.push(i(C));for(C=0;C<b;++C)E.push(u(C));for(C=0;C<k;++C)S.push(s(C)+"="+i(0)+".shape["+C+"]|0");for(C=0;C<T;++C){S.push(a(C)+"="+i(C)+".data",c(C)+"="+i(C)+".offset|0");for(var L=0;L<k;++L)S.push(l(C,L)+"="+i(C)+".stride["+L+"]|0")}for(C=0;C<T;++C){S.push(h(C)+"="+c(C)),S.push(o(C,0));for(L=1;L<1<<k;++L){for(var P=[],I=0;I<k;++I)L&1<<I&&P.push("-"+l(C,I));S.push(f(C,L)+"=("+P.join("")+")|0"),S.push(o(C,L)+"=0")}}for(C=0;C<T;++C)for(L=0;L<k;++L){var z=[l(C,_[L])];L>0&&z.push(l(C,_[L-1])+"*"+s(_[L-1])),S.push(d(C,_[L])+"=("+z.join("-")+")|0")}for(C=0;C<k;++C)S.push(p(C)+"=0");S.push("N=0");var O=["2"];for(C=k-2;C>=0;--C)O.push(s(_[C]));S.push("Q=("+O.join("*")+")|0","P=mallocUint32(Q)","V=mallocUint32(Q)","X=0"),S.push(g(0)+"=0");for(L=1;L<1<<k;++L){var D=[],R=[];for(I=0;I<k;++I)L&1<<I&&(0===R.length?D.push("1"):D.unshift(R.join("*"))),R.push(s(_[I]));var F="";D[0].indexOf(s(_[k-2]))<0&&(F="-");var B=x(k,L,_);S.push(v(B)+"=(-"+D.join("-")+")|0",m(B)+"=("+F+D.join("-")+")|0",g(B)+"=0")}function N(t,e){A.push("for(",p(_[t]),"=",e,";",p(_[t]),"<",s(_[t]),";","++",p(_[t]),"){")}function j(t){for(var e=0;e<T;++e)A.push(h(e),"+=",d(e,_[t]),";");A.push("}")}function U(){for(var t=1;t<1<<k;++t)A.push("T","=",v(t),";",v(t),"=",m(t),";",m(t),"=","T",";")}S.push(y(0)+"=0","T=0"),function t(e,r){if(e<0)!function(t){for(var e=0;e<T;++e)w[e]?A.push(o(e,0),"=",a(e),".get(",h(e),");"):A.push(o(e,0),"=",a(e),"[",h(e),"];");var r=[];for(e=0;e<T;++e)r.push(o(e,0));for(e=0;e<b;++e)r.push(u(e));A.push(g(0),"=","P","[","X","]=phase(",r.join(),");");for(var n=1;n<1<<k;++n)A.push(g(n),"=","P","[","X","+",v(n),"];");var i=[];for(n=1;n<1<<k;++n)i.push("("+g(0)+"!=="+g(n)+")");A.push("if(",i.join("||"),"){");var s=[];for(e=0;e<k;++e)s.push(p(e));for(e=0;e<T;++e){s.push(o(e,0));for(n=1;n<1<<k;++n)w[e]?A.push(o(e,n),"=",a(e),".get(",h(e),"+",f(e,n),");"):A.push(o(e,n),"=",a(e),"[",h(e),"+",f(e,n),"];"),s.push(o(e,n))}for(e=0;e<1<<k;++e)s.push(g(e));for(e=0;e<b;++e)s.push(u(e));A.push("vertex(",s.join(),");",y(0),"=","V","[","X","]=","N","++;");var l=(1<<k)-1,c=g(l);for(n=0;n<k;++n)if(0==(t&~(1<<n))){for(var d=l^1<<n,m=g(d),x=[],_=d;_>0;_=_-1&d)x.push("V[X+"+v(_)+"]");x.push(y(0));for(_=0;_<T;++_)1&n?x.push(o(_,l),o(_,d)):x.push(o(_,d),o(_,l));1&n?x.push(c,m):x.push(m,c);for(_=0;_<b;++_)x.push(u(_));A.push("if(",c,"!==",m,"){","face(",x.join(),")}")}A.push("}","X","+=1;")}(r);else{!function(t){for(var e=t-1;e>=0;--e)N(e,0);var r=[];for(e=0;e<T;++e)w[e]?r.push(a(e)+".get("+h(e)+")"):r.push(a(e)+"["+h(e)+"]");for(e=0;e<b;++e)r.push(u(e));for(A.push("P","[","X","++]=phase(",r.join(),");"),e=0;e<t;++e)j(e);for(var n=0;n<T;++n)A.push(h(n),"+=",d(n,_[t]),";")}(e),A.push("if(",s(_[e]),">0){",p(_[e]),"=1;"),t(e-1,r|1<<_[e]);for(var n=0;n<T;++n)A.push(h(n),"+=",d(n,_[e]),";");e===k-1&&(A.push("X","=0;"),U()),N(e,2),t(e-1,r),e===k-1&&(A.push("if(",p(_[k-1]),"&1){","X","=0;}"),U()),j(e),A.push("}")}}(k-1,0),A.push("freeUint32(","V",");freeUint32(","P",");");var V=["'use strict';","function ",M,"(",E.join(),"){","var ",S.join(),";",A.join(""),"}","return ",M].join("");return new Function("vertex","face","phase","mallocUint32","freeUint32",V)(t,e,r,n.mallocUint32,n.freeUint32)}(t.vertex,t.cell,t.phase,_,r,T)};function x(t,e,r){for(var n=0,i=0;i<t;++i)e&1<<i&&(n|=1<<r[i]);return n}},{"typedarray-pool":567}],462:[function(t,e,r){"use strict";e.exports=function(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error("ndarray-gradient: invalid boundary conditions")}else r=n(e.dimension,"string"==typeof r?r:"clamp");if(t.dimension!==e.dimension+1)throw new Error("ndarray-gradient: output dimension must be +1 input dimension");if(t.shape[e.dimension]!==e.dimension)throw new Error("ndarray-gradient: output shape must match input shape");for(var i=0;i<e.dimension;++i)if(t.shape[i]!==e.shape[i])throw new Error("ndarray-gradient: shape mismatch");if(0===e.size)return t;if(e.dimension<=0)return t.set(0),t;return function(t){var e=t.join();if(v=o[e])return v;var r=t.length,n=["function gradient(dst,src){var s=src.shape.slice();"];function i(e){for(var i=r-e.length,a=[],o=[],s=[],l=0;l<r;++l)e.indexOf(l+1)>=0?s.push("0"):e.indexOf(-(l+1))>=0?s.push("s["+l+"]-1"):(s.push("-1"),a.push("1"),o.push("s["+l+"]-2"));var c=".lo("+a.join()+").hi("+o.join()+")";if(0===a.length&&(c=""),i>0){n.push("if(1");for(l=0;l<r;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||n.push("&&s[",l,"]>2");n.push("){grad",i,"(src.pick(",s.join(),")",c);for(l=0;l<r;++l)e.indexOf(l+1)>=0||e.indexOf(-(l+1))>=0||n.push(",dst.pick(",s.join(),",",l,")",c);n.push(");")}for(l=0;l<e.length;++l){var u=Math.abs(e[l])-1,h="dst.pick("+s.join()+","+u+")"+c;switch(t[u]){case"clamp":var f=s.slice(),p=s.slice();e[l]<0?f[u]="s["+u+"]-2":p[u]="1",0===i?n.push("if(s[",u,"]>1){dst.set(",s.join(),",",u,",0.5*(src.get(",f.join(),")-src.get(",p.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):n.push("if(s[",u,"]>1){diff(",h,",src.pick(",f.join(),")",c,",src.pick(",p.join(),")",c,");}else{zero(",h,");};");break;case"mirror":0===i?n.push("dst.set(",s.join(),",",u,",0);"):n.push("zero(",h,");");break;case"wrap":var d=s.slice(),g=s.slice();e[l]<0?(d[u]="s["+u+"]-2",g[u]="0"):(d[u]="s["+u+"]-1",g[u]="1"),0===i?n.push("if(s[",u,"]>2){dst.set(",s.join(),",",u,",0.5*(src.get(",d.join(),")-src.get(",g.join(),")))}else{dst.set(",s.join(),",",u,",0)};"):n.push("if(s[",u,"]>2){diff(",h,",src.pick(",d.join(),")",c,",src.pick(",g.join(),")",c,");}else{zero(",h,");};");break;default:throw new Error("ndarray-gradient: Invalid boundary condition")}}i>0&&n.push("};")}for(var s=0;s<1<<r;++s){for(var h=[],f=0;f<r;++f)s&1<<f&&h.push(f+1);for(var p=0;p<1<<h.length;++p){var d=h.slice();for(f=0;f<h.length;++f)p&1<<f&&(d[f]=-d[f]);i(d)}}n.push("return dst;};return gradient");var g=["diff","zero"],m=[l,c];for(s=1;s<=r;++s)g.push("grad"+s),m.push(u(s));g.push(n.join(""));var v=Function.apply(void 0,g).apply(void 0,m);return a[e]=v,v}(r)(t,e)};var n=t("dup"),i=t("cwise-compiler"),a={},o={},s={body:"",args:[],thisVars:[],localVars:[]},l=i({args:["array","array","array"],pre:s,post:s,body:{args:[{name:"out",lvalue:!0,rvalue:!1,count:1},{name:"left",lvalue:!1,rvalue:!0,count:1},{name:"right",lvalue:!1,rvalue:!0,count:1}],body:"out=0.5*(left-right)",thisVars:[],localVars:[]},funcName:"cdiff"}),c=i({args:["array"],pre:s,post:s,body:{args:[{name:"out",lvalue:!0,rvalue:!1,count:1}],body:"out=0",thisVars:[],localVars:[]},funcName:"zero"});function u(t){if(t in a)return a[t];for(var e=[],r=0;r<t;++r)e.push("out",r,"s=0.5*(inp",r,"l-inp",r,"r);");var o=["array"],l=["junk"];for(r=0;r<t;++r){o.push("array"),l.push("out"+r+"s");var c=n(t);c[r]=-1,o.push({array:0,offset:c.slice()}),c[r]=1,o.push({array:0,offset:c.slice()}),l.push("inp"+r+"l","inp"+r+"r")}return a[t]=i({args:o,pre:s,post:s,body:{body:e.join(""),args:l.map((function(t){return{name:t,lvalue:0===t.indexOf("out"),rvalue:0===t.indexOf("inp"),count:"junk"!==t|0}})),thisVars:[],localVars:[]},funcName:"fdTemplate"+t})}},{"cwise-compiler":151,dup:176}],463:[function(t,e,r){"use strict";function n(t,e){var r=Math.floor(e),n=e-r,i=0<=r&&r<t.shape[0],a=0<=r+1&&r+1<t.shape[0];return(1-n)*(i?+t.get(r):0)+n*(a?+t.get(r+1):0)}function i(t,e,r){var n=Math.floor(e),i=e-n,a=0<=n&&n<t.shape[0],o=0<=n+1&&n+1<t.shape[0],s=Math.floor(r),l=r-s,c=0<=s&&s<t.shape[1],u=0<=s+1&&s+1<t.shape[1],h=a&&c?t.get(n,s):0,f=a&&u?t.get(n,s+1):0;return(1-l)*((1-i)*h+i*(o&&c?t.get(n+1,s):0))+l*((1-i)*f+i*(o&&u?t.get(n+1,s+1):0))}function a(t,e,r,n){var i=Math.floor(e),a=e-i,o=0<=i&&i<t.shape[0],s=0<=i+1&&i+1<t.shape[0],l=Math.floor(r),c=r-l,u=0<=l&&l<t.shape[1],h=0<=l+1&&l+1<t.shape[1],f=Math.floor(n),p=n-f,d=0<=f&&f<t.shape[2],g=0<=f+1&&f+1<t.shape[2],m=o&&u&&d?t.get(i,l,f):0,v=o&&h&&d?t.get(i,l+1,f):0,y=s&&u&&d?t.get(i+1,l,f):0,x=s&&h&&d?t.get(i+1,l+1,f):0,b=o&&u&&g?t.get(i,l,f+1):0,_=o&&h&&g?t.get(i,l+1,f+1):0;return(1-p)*((1-c)*((1-a)*m+a*y)+c*((1-a)*v+a*x))+p*((1-c)*((1-a)*b+a*(s&&u&&g?t.get(i+1,l,f+1):0))+c*((1-a)*_+a*(s&&h&&g?t.get(i+1,l+1,f+1):0)))}function o(t){var e,r,n=0|t.shape.length,i=new Array(n),a=new Array(n),o=new Array(n),s=new Array(n);for(e=0;e<n;++e)r=+arguments[e+1],i[e]=Math.floor(r),a[e]=r-i[e],o[e]=0<=i[e]&&i[e]<t.shape[e],s[e]=0<=i[e]+1&&i[e]+1<t.shape[e];var l,c,u,h=0;t:for(e=0;e<1<<n;++e){for(c=1,u=t.offset,l=0;l<n;++l)if(e&1<<l){if(!s[l])continue t;c*=a[l],u+=t.stride[l]*(i[l]+1)}else{if(!o[l])continue t;c*=1-a[l],u+=t.stride[l]*i[l]}h+=c*t.data[u]}return h}e.exports=function(t,e,r,s){switch(t.shape.length){case 0:return 0;case 1:return n(t,e);case 2:return i(t,e,r);case 3:return a(t,e,r,s);default:return o.apply(void 0,arguments)}},e.exports.d1=n,e.exports.d2=i,e.exports.d3=a},{}],464:[function(t,e,r){"use strict";var n=t("cwise-compiler"),i={body:"",args:[],thisVars:[],localVars:[]};function a(t){if(!t)return i;for(var e=0;e<t.args.length;++e){var r=t.args[e];t.args[e]=0===e?{name:r,lvalue:!0,rvalue:!!t.rvalue,count:t.count||1}:{name:r,lvalue:!1,rvalue:!0,count:1}}return t.thisVars||(t.thisVars=[]),t.localVars||(t.localVars=[]),t}function o(t){for(var e=[],r=0;r<t.args.length;++r)e.push("a"+r);return new Function("P",["return function ",t.funcName,"_ndarrayops(",e.join(","),") {P(",e.join(","),");return a0}"].join(""))(function(t){return n({args:t.args,pre:a(t.pre),body:a(t.body),post:a(t.proc),funcName:t.funcName})}(t))}var s={add:"+",sub:"-",mul:"*",div:"/",mod:"%",band:"&",bor:"|",bxor:"^",lshift:"<<",rshift:">>",rrshift:">>>"};!function(){for(var t in s){var e=s[t];r[t]=o({args:["array","array","array"],body:{args:["a","b","c"],body:"a=b"+e+"c"},funcName:t}),r[t+"eq"]=o({args:["array","array"],body:{args:["a","b"],body:"a"+e+"=b"},rvalue:!0,funcName:t+"eq"}),r[t+"s"]=o({args:["array","array","scalar"],body:{args:["a","b","s"],body:"a=b"+e+"s"},funcName:t+"s"}),r[t+"seq"]=o({args:["array","scalar"],body:{args:["a","s"],body:"a"+e+"=s"},rvalue:!0,funcName:t+"seq"})}}();var l={not:"!",bnot:"~",neg:"-",recip:"1.0/"};!function(){for(var t in l){var e=l[t];r[t]=o({args:["array","array"],body:{args:["a","b"],body:"a="+e+"b"},funcName:t}),r[t+"eq"]=o({args:["array"],body:{args:["a"],body:"a="+e+"a"},rvalue:!0,count:2,funcName:t+"eq"})}}();var c={and:"&&",or:"||",eq:"===",neq:"!==",lt:"<",gt:">",leq:"<=",geq:">="};!function(){for(var t in c){var e=c[t];r[t]=o({args:["array","array","array"],body:{args:["a","b","c"],body:"a=b"+e+"c"},funcName:t}),r[t+"s"]=o({args:["array","array","scalar"],body:{args:["a","b","s"],body:"a=b"+e+"s"},funcName:t+"s"}),r[t+"eq"]=o({args:["array","array"],body:{args:["a","b"],body:"a=a"+e+"b"},rvalue:!0,count:2,funcName:t+"eq"}),r[t+"seq"]=o({args:["array","scalar"],body:{args:["a","s"],body:"a=a"+e+"s"},rvalue:!0,count:2,funcName:t+"seq"})}}();var u=["abs","acos","asin","atan","ceil","cos","exp","floor","log","round","sin","sqrt","tan"];!function(){for(var t=0;t<u.length;++t){var e=u[t];r[e]=o({args:["array","array"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b"],body:"a=this_f(b)",thisVars:["this_f"]},funcName:e}),r[e+"eq"]=o({args:["array"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a"],body:"a=this_f(a)",thisVars:["this_f"]},rvalue:!0,count:2,funcName:e+"eq"})}}();var h=["max","min","atan2","pow"];!function(){for(var t=0;t<h.length;++t){var e=h[t];r[e]=o({args:["array","array","array"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b","c"],body:"a=this_f(b,c)",thisVars:["this_f"]},funcName:e}),r[e+"s"]=o({args:["array","array","scalar"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b","c"],body:"a=this_f(b,c)",thisVars:["this_f"]},funcName:e+"s"}),r[e+"eq"]=o({args:["array","array"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b"],body:"a=this_f(a,b)",thisVars:["this_f"]},rvalue:!0,count:2,funcName:e+"eq"}),r[e+"seq"]=o({args:["array","scalar"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b"],body:"a=this_f(a,b)",thisVars:["this_f"]},rvalue:!0,count:2,funcName:e+"seq"})}}();var f=["atan2","pow"];!function(){for(var t=0;t<f.length;++t){var e=f[t];r[e+"op"]=o({args:["array","array","array"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b","c"],body:"a=this_f(c,b)",thisVars:["this_f"]},funcName:e+"op"}),r[e+"ops"]=o({args:["array","array","scalar"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b","c"],body:"a=this_f(c,b)",thisVars:["this_f"]},funcName:e+"ops"}),r[e+"opeq"]=o({args:["array","array"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b"],body:"a=this_f(b,a)",thisVars:["this_f"]},rvalue:!0,count:2,funcName:e+"opeq"}),r[e+"opseq"]=o({args:["array","scalar"],pre:{args:[],body:"this_f=Math."+e,thisVars:["this_f"]},body:{args:["a","b"],body:"a=this_f(b,a)",thisVars:["this_f"]},rvalue:!0,count:2,funcName:e+"opseq"})}}(),r.any=n({args:["array"],pre:i,body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:1}],body:"if(a){return true}",localVars:[],thisVars:[]},post:{args:[],localVars:[],thisVars:[],body:"return false"},funcName:"any"}),r.all=n({args:["array"],pre:i,body:{args:[{name:"x",lvalue:!1,rvalue:!0,count:1}],body:"if(!x){return false}",localVars:[],thisVars:[]},post:{args:[],localVars:[],thisVars:[],body:"return true"},funcName:"all"}),r.sum=n({args:["array"],pre:{args:[],localVars:[],thisVars:["this_s"],body:"this_s=0"},body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:1}],body:"this_s+=a",localVars:[],thisVars:["this_s"]},post:{args:[],localVars:[],thisVars:["this_s"],body:"return this_s"},funcName:"sum"}),r.prod=n({args:["array"],pre:{args:[],localVars:[],thisVars:["this_s"],body:"this_s=1"},body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:1}],body:"this_s*=a",localVars:[],thisVars:["this_s"]},post:{args:[],localVars:[],thisVars:["this_s"],body:"return this_s"},funcName:"prod"}),r.norm2squared=n({args:["array"],pre:{args:[],localVars:[],thisVars:["this_s"],body:"this_s=0"},body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:2}],body:"this_s+=a*a",localVars:[],thisVars:["this_s"]},post:{args:[],localVars:[],thisVars:["this_s"],body:"return this_s"},funcName:"norm2squared"}),r.norm2=n({args:["array"],pre:{args:[],localVars:[],thisVars:["this_s"],body:"this_s=0"},body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:2}],body:"this_s+=a*a",localVars:[],thisVars:["this_s"]},post:{args:[],localVars:[],thisVars:["this_s"],body:"return Math.sqrt(this_s)"},funcName:"norm2"}),r.norminf=n({args:["array"],pre:{args:[],localVars:[],thisVars:["this_s"],body:"this_s=0"},body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:4}],body:"if(-a>this_s){this_s=-a}else if(a>this_s){this_s=a}",localVars:[],thisVars:["this_s"]},post:{args:[],localVars:[],thisVars:["this_s"],body:"return this_s"},funcName:"norminf"}),r.norm1=n({args:["array"],pre:{args:[],localVars:[],thisVars:["this_s"],body:"this_s=0"},body:{args:[{name:"a",lvalue:!1,rvalue:!0,count:3}],body:"this_s+=a<0?-a:a",localVars:[],thisVars:["this_s"]},post:{args:[],localVars:[],thisVars:["this_s"],body:"return this_s"},funcName:"norm1"}),r.sup=n({args:["array"],pre:{body:"this_h=-Infinity",args:[],thisVars:["this_h"],localVars:[]},body:{body:"if(_inline_1_arg0_>this_h)this_h=_inline_1_arg0_",args:[{name:"_inline_1_arg0_",lvalue:!1,rvalue:!0,count:2}],thisVars:["this_h"],localVars:[]},post:{body:"return this_h",args:[],thisVars:["this_h"],localVars:[]}}),r.inf=n({args:["array"],pre:{body:"this_h=Infinity",args:[],thisVars:["this_h"],localVars:[]},body:{body:"if(_inline_1_arg0_<this_h)this_h=_inline_1_arg0_",args:[{name:"_inline_1_arg0_",lvalue:!1,rvalue:!0,count:2}],thisVars:["this_h"],localVars:[]},post:{body:"return this_h",args:[],thisVars:["this_h"],localVars:[]}}),r.argmin=n({args:["index","array","shape"],pre:{body:"{this_v=Infinity;this_i=_inline_0_arg2_.slice(0)}",args:[{name:"_inline_0_arg0_",lvalue:!1,rvalue:!1,count:0},{name:"_inline_0_arg1_",lvalue:!1,rvalue:!1,count:0},{name:"_inline_0_arg2_",lvalue:!1,rvalue:!0,count:1}],thisVars:["this_i","this_v"],localVars:[]},body:{body:"{if(_inline_1_arg1_<this_v){this_v=_inline_1_arg1_;for(var _inline_1_k=0;_inline_1_k<_inline_1_arg0_.length;++_inline_1_k){this_i[_inline_1_k]=_inline_1_arg0_[_inline_1_k]}}}",args:[{name:"_inline_1_arg0_",lvalue:!1,rvalue:!0,count:2},{name:"_inline_1_arg1_",lvalue:!1,rvalue:!0,count:2}],thisVars:["this_i","this_v"],localVars:["_inline_1_k"]},post:{body:"{return this_i}",args:[],thisVars:["this_i"],localVars:[]}}),r.argmax=n({args:["index","array","shape"],pre:{body:"{this_v=-Infinity;this_i=_inline_0_arg2_.slice(0)}",args:[{name:"_inline_0_arg0_",lvalue:!1,rvalue:!1,count:0},{name:"_inline_0_arg1_",lvalue:!1,rvalue:!1,count:0},{name:"_inline_0_arg2_",lvalue:!1,rvalue:!0,count:1}],thisVars:["this_i","this_v"],localVars:[]},body:{body:"{if(_inline_1_arg1_>this_v){this_v=_inline_1_arg1_;for(var _inline_1_k=0;_inline_1_k<_inline_1_arg0_.length;++_inline_1_k){this_i[_inline_1_k]=_inline_1_arg0_[_inline_1_k]}}}",args:[{name:"_inline_1_arg0_",lvalue:!1,rvalue:!0,count:2},{name:"_inline_1_arg1_",lvalue:!1,rvalue:!0,count:2}],thisVars:["this_i","this_v"],localVars:["_inline_1_k"]},post:{body:"{return this_i}",args:[],thisVars:["this_i"],localVars:[]}}),r.random=o({args:["array"],pre:{args:[],body:"this_f=Math.random",thisVars:["this_f"]},body:{args:["a"],body:"a=this_f()",thisVars:["this_f"]},funcName:"random"}),r.assign=o({args:["array","array"],body:{args:["a","b"],body:"a=b"},funcName:"assign"}),r.assigns=o({args:["array","scalar"],body:{args:["a","b"],body:"a=b"},funcName:"assigns"}),r.equals=n({args:["array","array"],pre:i,body:{args:[{name:"x",lvalue:!1,rvalue:!0,count:1},{name:"y",lvalue:!1,rvalue:!0,count:1}],body:"if(x!==y){return false}",localVars:[],thisVars:[]},post:{args:[],localVars:[],thisVars:[],body:"return true"},funcName:"equals"})},{"cwise-compiler":151}],465:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("./doConvert.js");e.exports=function(t,e){for(var r=[],a=t,o=1;Array.isArray(a);)r.push(a.length),o*=a.length,a=a[0];return 0===r.length?n():(e||(e=n(new Float64Array(o),r)),i(e,t),e)}},{"./doConvert.js":466,ndarray:469}],466:[function(t,e,r){e.exports=t("cwise-compiler")({args:["array","scalar","index"],pre:{body:"{}",args:[],thisVars:[],localVars:[]},body:{body:"{\nvar _inline_1_v=_inline_1_arg1_,_inline_1_i\nfor(_inline_1_i=0;_inline_1_i<_inline_1_arg2_.length-1;++_inline_1_i) {\n_inline_1_v=_inline_1_v[_inline_1_arg2_[_inline_1_i]]\n}\n_inline_1_arg0_=_inline_1_v[_inline_1_arg2_[_inline_1_arg2_.length-1]]\n}",args:[{name:"_inline_1_arg0_",lvalue:!0,rvalue:!1,count:1},{name:"_inline_1_arg1_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_1_arg2_",lvalue:!1,rvalue:!0,count:4}],thisVars:[],localVars:["_inline_1_i","_inline_1_v"]},post:{body:"{}",args:[],thisVars:[],localVars:[]},funcName:"convert",blockSize:64})},{"cwise-compiler":151}],467:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=32;function a(t){switch(t){case"uint8":return[n.mallocUint8,n.freeUint8];case"uint16":return[n.mallocUint16,n.freeUint16];case"uint32":return[n.mallocUint32,n.freeUint32];case"int8":return[n.mallocInt8,n.freeInt8];case"int16":return[n.mallocInt16,n.freeInt16];case"int32":return[n.mallocInt32,n.freeInt32];case"float32":return[n.mallocFloat,n.freeFloat];case"float64":return[n.mallocDouble,n.freeDouble];default:return null}}function o(t){for(var e=[],r=0;r<t;++r)e.push("s"+r);for(r=0;r<t;++r)e.push("n"+r);for(r=1;r<t;++r)e.push("d"+r);for(r=1;r<t;++r)e.push("e"+r);for(r=1;r<t;++r)e.push("f"+r);return e}e.exports=function(t,e){var r=["'use strict'"],n=["ndarraySortWrapper",t.join("d"),e].join("");r.push(["function ",n,"(",["array"].join(","),"){"].join(""));for(var s=["data=array.data,offset=array.offset|0,shape=array.shape,stride=array.stride"],l=0;l<t.length;++l)s.push(["s",l,"=stride[",l,"]|0,n",l,"=shape[",l,"]|0"].join(""));var c=new Array(t.length),u=[];for(l=0;l<t.length;++l){0!==(p=t[l])&&(0===u.length?c[p]="1":c[p]=u.join("*"),u.push("n"+p))}var h=-1,f=-1;for(l=0;l<t.length;++l){var p,d=t[l];0!==d&&(h>0?s.push(["d",d,"=s",d,"-d",h,"*n",h].join("")):s.push(["d",d,"=s",d].join("")),h=d),0!==(p=t.length-1-l)&&(f>0?s.push(["e",p,"=s",p,"-e",f,"*n",f,",f",p,"=",c[p],"-f",f,"*n",f].join("")):s.push(["e",p,"=s",p,",f",p,"=",c[p]].join("")),f=p)}r.push("var "+s.join(","));var g=["0","n0-1","data","offset"].concat(o(t.length));r.push(["if(n0<=",i,"){","insertionSort(",g.join(","),")}else{","quickSort(",g.join(","),")}"].join("")),r.push("}return "+n);var m=new Function("insertionSort","quickSort",r.join("\n")),v=function(t,e){var r=["'use strict'"],n=["ndarrayInsertionSort",t.join("d"),e].join(""),i=["left","right","data","offset"].concat(o(t.length)),s=a(e),l=["i,j,cptr,ptr=left*s0+offset"];if(t.length>1){for(var c=[],u=1;u<t.length;++u)l.push("i"+u),c.push("n"+u);s?l.push("scratch=malloc("+c.join("*")+")"):l.push("scratch=new Array("+c.join("*")+")"),l.push("dptr","sptr","a","b")}else l.push("scratch");function h(t){return"generic"===e?["data.get(",t,")"].join(""):["data[",t,"]"].join("")}function f(t,r){return"generic"===e?["data.set(",t,",",r,")"].join(""):["data[",t,"]=",r].join("")}if(r.push(["function ",n,"(",i.join(","),"){var ",l.join(",")].join(""),"for(i=left+1;i<=right;++i){","j=i;ptr+=s0","cptr=ptr"),t.length>1){r.push("dptr=0;sptr=ptr");for(u=t.length-1;u>=0;--u){0!==(p=t[u])&&r.push(["for(i",p,"=0;i",p,"<n",p,";++i",p,"){"].join(""))}r.push("scratch[dptr++]=",h("sptr"));for(u=0;u<t.length;++u){0!==(p=t[u])&&r.push("sptr+=d"+p,"}")}r.push("__g:while(j--\x3eleft){","dptr=0","sptr=cptr-s0");for(u=1;u<t.length;++u)1===u&&r.push("__l:"),r.push(["for(i",u,"=0;i",u,"<n",u,";++i",u,"){"].join(""));r.push(["a=",h("sptr"),"\nb=scratch[dptr]\nif(a<b){break __g}\nif(a>b){break __l}"].join(""));for(u=t.length-1;u>=1;--u)r.push("sptr+=e"+u,"dptr+=f"+u,"}");r.push("dptr=cptr;sptr=cptr-s0");for(u=t.length-1;u>=0;--u){0!==(p=t[u])&&r.push(["for(i",p,"=0;i",p,"<n",p,";++i",p,"){"].join(""))}r.push(f("dptr",h("sptr")));for(u=0;u<t.length;++u){0!==(p=t[u])&&r.push(["dptr+=d",p,";sptr+=d",p].join(""),"}")}r.push("cptr-=s0\n}"),r.push("dptr=cptr;sptr=0");for(u=t.length-1;u>=0;--u){0!==(p=t[u])&&r.push(["for(i",p,"=0;i",p,"<n",p,";++i",p,"){"].join(""))}r.push(f("dptr","scratch[sptr++]"));for(u=0;u<t.length;++u){var p;0!==(p=t[u])&&r.push("dptr+=d"+p,"}")}}else r.push("scratch="+h("ptr"),"while((j--\x3eleft)&&("+h("cptr-s0")+">scratch)){",f("cptr",h("cptr-s0")),"cptr-=s0","}",f("cptr","scratch"));return r.push("}"),t.length>1&&s&&r.push("free(scratch)"),r.push("} return "+n),s?new Function("malloc","free",r.join("\n"))(s[0],s[1]):new Function(r.join("\n"))()}(t,e),y=function(t,e,r){var n=["'use strict'"],s=["ndarrayQuickSort",t.join("d"),e].join(""),l=["left","right","data","offset"].concat(o(t.length)),c=a(e),u=0;n.push(["function ",s,"(",l.join(","),"){"].join(""));var h=["sixth=((right-left+1)/6)|0","index1=left+sixth","index5=right-sixth","index3=(left+right)>>1","index2=index3-sixth","index4=index3+sixth","el1=index1","el2=index2","el3=index3","el4=index4","el5=index5","less=left+1","great=right-1","pivots_are_equal=true","tmp","tmp0","x","y","z","k","ptr0","ptr1","ptr2","comp_pivot1=0","comp_pivot2=0","comp=0"];if(t.length>1){for(var f=[],p=1;p<t.length;++p)f.push("n"+p),h.push("i"+p);for(p=0;p<8;++p)h.push("b_ptr"+p);h.push("ptr3","ptr4","ptr5","ptr6","ptr7","pivot_ptr","ptr_shift","elementSize="+f.join("*")),c?h.push("pivot1=malloc(elementSize)","pivot2=malloc(elementSize)"):h.push("pivot1=new Array(elementSize),pivot2=new Array(elementSize)")}else h.push("pivot1","pivot2");function d(t){return["(offset+",t,"*s0)"].join("")}function g(t){return"generic"===e?["data.get(",t,")"].join(""):["data[",t,"]"].join("")}function m(t,r){return"generic"===e?["data.set(",t,",",r,")"].join(""):["data[",t,"]=",r].join("")}function v(e,r,i){if(1===e.length)n.push("ptr0="+d(e[0]));else for(var a=0;a<e.length;++a)n.push(["b_ptr",a,"=s0*",e[a]].join(""));r&&n.push("pivot_ptr=0"),n.push("ptr_shift=offset");for(a=t.length-1;a>=0;--a){0!==(o=t[a])&&n.push(["for(i",o,"=0;i",o,"<n",o,";++i",o,"){"].join(""))}if(e.length>1)for(a=0;a<e.length;++a)n.push(["ptr",a,"=b_ptr",a,"+ptr_shift"].join(""));n.push(i),r&&n.push("++pivot_ptr");for(a=0;a<t.length;++a){var o;0!==(o=t[a])&&(e.length>1?n.push("ptr_shift+=d"+o):n.push("ptr0+=d"+o),n.push("}"))}}function y(e,r,i,a){if(1===r.length)n.push("ptr0="+d(r[0]));else{for(var o=0;o<r.length;++o)n.push(["b_ptr",o,"=s0*",r[o]].join(""));n.push("ptr_shift=offset")}i&&n.push("pivot_ptr=0"),e&&n.push(e+":");for(o=1;o<t.length;++o)n.push(["for(i",o,"=0;i",o,"<n",o,";++i",o,"){"].join(""));if(r.length>1)for(o=0;o<r.length;++o)n.push(["ptr",o,"=b_ptr",o,"+ptr_shift"].join(""));n.push(a);for(o=t.length-1;o>=1;--o)i&&n.push("pivot_ptr+=f"+o),r.length>1?n.push("ptr_shift+=e"+o):n.push("ptr0+=e"+o),n.push("}")}function x(){t.length>1&&c&&n.push("free(pivot1)","free(pivot2)")}function b(e,r){var i="el"+e,a="el"+r;if(t.length>1){var o="__l"+ ++u;y(o,[i,a],!1,["comp=",g("ptr0"),"-",g("ptr1"),"\n","if(comp>0){tmp0=",i,";",i,"=",a,";",a,"=tmp0;break ",o,"}\n","if(comp<0){break ",o,"}"].join(""))}else n.push(["if(",g(d(i)),">",g(d(a)),"){tmp0=",i,";",i,"=",a,";",a,"=tmp0}"].join(""))}function _(e,r){t.length>1?v([e,r],!1,m("ptr0",g("ptr1"))):n.push(m(d(e),g(d(r))))}function w(e,r,i){if(t.length>1){var a="__l"+ ++u;y(a,[r],!0,[e,"=",g("ptr0"),"-pivot",i,"[pivot_ptr]\n","if(",e,"!==0){break ",a,"}"].join(""))}else n.push([e,"=",g(d(r)),"-pivot",i].join(""))}function T(e,r){t.length>1?v([e,r],!1,["tmp=",g("ptr0"),"\n",m("ptr0",g("ptr1")),"\n",m("ptr1","tmp")].join("")):n.push(["ptr0=",d(e),"\n","ptr1=",d(r),"\n","tmp=",g("ptr0"),"\n",m("ptr0",g("ptr1")),"\n",m("ptr1","tmp")].join(""))}function k(e,r,i){t.length>1?(v([e,r,i],!1,["tmp=",g("ptr0"),"\n",m("ptr0",g("ptr1")),"\n",m("ptr1",g("ptr2")),"\n",m("ptr2","tmp")].join("")),n.push("++"+r,"--"+i)):n.push(["ptr0=",d(e),"\n","ptr1=",d(r),"\n","ptr2=",d(i),"\n","++",r,"\n","--",i,"\n","tmp=",g("ptr0"),"\n",m("ptr0",g("ptr1")),"\n",m("ptr1",g("ptr2")),"\n",m("ptr2","tmp")].join(""))}function M(t,e){T(t,e),n.push("--"+e)}function A(e,r,i){t.length>1?v([e,r],!0,[m("ptr0",g("ptr1")),"\n",m("ptr1",["pivot",i,"[pivot_ptr]"].join(""))].join("")):n.push(m(d(e),g(d(r))),m(d(r),"pivot"+i))}function S(e,r){n.push(["if((",r,"-",e,")<=",i,"){\n","insertionSort(",e,",",r,",data,offset,",o(t.length).join(","),")\n","}else{\n",s,"(",e,",",r,",data,offset,",o(t.length).join(","),")\n","}"].join(""))}function E(e,r,i){t.length>1?(n.push(["__l",++u,":while(true){"].join("")),v([e],!0,["if(",g("ptr0"),"!==pivot",r,"[pivot_ptr]){break __l",u,"}"].join("")),n.push(i,"}")):n.push(["while(",g(d(e)),"===pivot",r,"){",i,"}"].join(""))}return n.push("var "+h.join(",")),b(1,2),b(4,5),b(1,3),b(2,3),b(1,4),b(3,4),b(2,5),b(2,3),b(4,5),t.length>1?v(["el1","el2","el3","el4","el5","index1","index3","index5"],!0,["pivot1[pivot_ptr]=",g("ptr1"),"\n","pivot2[pivot_ptr]=",g("ptr3"),"\n","pivots_are_equal=pivots_are_equal&&(pivot1[pivot_ptr]===pivot2[pivot_ptr])\n","x=",g("ptr0"),"\n","y=",g("ptr2"),"\n","z=",g("ptr4"),"\n",m("ptr5","x"),"\n",m("ptr6","y"),"\n",m("ptr7","z")].join("")):n.push(["pivot1=",g(d("el2")),"\n","pivot2=",g(d("el4")),"\n","pivots_are_equal=pivot1===pivot2\n","x=",g(d("el1")),"\n","y=",g(d("el3")),"\n","z=",g(d("el5")),"\n",m(d("index1"),"x"),"\n",m(d("index3"),"y"),"\n",m(d("index5"),"z")].join("")),_("index2","left"),_("index4","right"),n.push("if(pivots_are_equal){"),n.push("for(k=less;k<=great;++k){"),w("comp","k",1),n.push("if(comp===0){continue}"),n.push("if(comp<0){"),n.push("if(k!==less){"),T("k","less"),n.push("}"),n.push("++less"),n.push("}else{"),n.push("while(true){"),w("comp","great",1),n.push("if(comp>0){"),n.push("great--"),n.push("}else if(comp<0){"),k("k","less","great"),n.push("break"),n.push("}else{"),M("k","great"),n.push("break"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),n.push("}else{"),n.push("for(k=less;k<=great;++k){"),w("comp_pivot1","k",1),n.push("if(comp_pivot1<0){"),n.push("if(k!==less){"),T("k","less"),n.push("}"),n.push("++less"),n.push("}else{"),w("comp_pivot2","k",2),n.push("if(comp_pivot2>0){"),n.push("while(true){"),w("comp","great",2),n.push("if(comp>0){"),n.push("if(--great<k){break}"),n.push("continue"),n.push("}else{"),w("comp","great",1),n.push("if(comp<0){"),k("k","less","great"),n.push("}else{"),M("k","great"),n.push("}"),n.push("break"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),A("left","(less-1)",1),A("right","(great+1)",2),S("left","(less-2)"),S("(great+2)","right"),n.push("if(pivots_are_equal){"),x(),n.push("return"),n.push("}"),n.push("if(less<index1&&great>index5){"),E("less",1,"++less"),E("great",2,"--great"),n.push("for(k=less;k<=great;++k){"),w("comp_pivot1","k",1),n.push("if(comp_pivot1===0){"),n.push("if(k!==less){"),T("k","less"),n.push("}"),n.push("++less"),n.push("}else{"),w("comp_pivot2","k",2),n.push("if(comp_pivot2===0){"),n.push("while(true){"),w("comp","great",2),n.push("if(comp===0){"),n.push("if(--great<k){break}"),n.push("continue"),n.push("}else{"),w("comp","great",1),n.push("if(comp<0){"),k("k","less","great"),n.push("}else{"),M("k","great"),n.push("}"),n.push("break"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),n.push("}"),x(),S("less","great"),n.push("}return "+s),t.length>1&&c?new Function("insertionSort","malloc","free",n.join("\n"))(r,c[0],c[1]):new Function("insertionSort",n.join("\n"))(r)}(t,e,v);return m(v,y)}},{"typedarray-pool":567}],468:[function(t,e,r){"use strict";var n=t("./lib/compile_sort.js"),i={};e.exports=function(t){var e=t.order,r=t.dtype,a=[e,r].join(":"),o=i[a];return o||(i[a]=o=n(e,r)),o(t),t}},{"./lib/compile_sort.js":467}],469:[function(t,e,r){var n=t("iota-array"),i=t("is-buffer"),a="undefined"!=typeof Float64Array;function o(t,e){return t[0]-e[0]}function s(){var t,e=this.stride,r=new Array(e.length);for(t=0;t<r.length;++t)r[t]=[Math.abs(e[t]),t];r.sort(o);var n=new Array(r.length);for(t=0;t<n.length;++t)n[t]=r[t][1];return n}function l(t,e){var r=["View",e,"d",t].join("");e<0&&(r="View_Nil"+t);var i="generic"===t;if(-1===e){var a="function "+r+"(a){this.data=a;};var proto="+r+".prototype;proto.dtype='"+t+"';proto.index=function(){return -1};proto.size=0;proto.dimension=-1;proto.shape=proto.stride=proto.order=[];proto.lo=proto.hi=proto.transpose=proto.step=function(){return new "+r+"(this.data);};proto.get=proto.set=function(){};proto.pick=function(){return null};return function construct_"+r+"(a){return new "+r+"(a);}";return new Function(a)()}if(0===e){a="function "+r+"(a,d) {this.data = a;this.offset = d};var proto="+r+".prototype;proto.dtype='"+t+"';proto.index=function(){return this.offset};proto.dimension=0;proto.size=1;proto.shape=proto.stride=proto.order=[];proto.lo=proto.hi=proto.transpose=proto.step=function "+r+"_copy() {return new "+r+"(this.data,this.offset)};proto.pick=function "+r+"_pick(){return TrivialArray(this.data);};proto.valueOf=proto.get=function "+r+"_get(){return "+(i?"this.data.get(this.offset)":"this.data[this.offset]")+"};proto.set=function "+r+"_set(v){return "+(i?"this.data.set(this.offset,v)":"this.data[this.offset]=v")+"};return function construct_"+r+"(a,b,c,d){return new "+r+"(a,d)}";return new Function("TrivialArray",a)(c[t][0])}a=["'use strict'"];var o=n(e),l=o.map((function(t){return"i"+t})),u="this.offset+"+o.map((function(t){return"this.stride["+t+"]*i"+t})).join("+"),h=o.map((function(t){return"b"+t})).join(","),f=o.map((function(t){return"c"+t})).join(",");a.push("function "+r+"(a,"+h+","+f+",d){this.data=a","this.shape=["+h+"]","this.stride=["+f+"]","this.offset=d|0}","var proto="+r+".prototype","proto.dtype='"+t+"'","proto.dimension="+e),a.push("Object.defineProperty(proto,'size',{get:function "+r+"_size(){return "+o.map((function(t){return"this.shape["+t+"]"})).join("*"),"}})"),1===e?a.push("proto.order=[0]"):(a.push("Object.defineProperty(proto,'order',{get:"),e<4?(a.push("function "+r+"_order(){"),2===e?a.push("return (Math.abs(this.stride[0])>Math.abs(this.stride[1]))?[1,0]:[0,1]}})"):3===e&&a.push("var s0=Math.abs(this.stride[0]),s1=Math.abs(this.stride[1]),s2=Math.abs(this.stride[2]);if(s0>s1){if(s1>s2){return [2,1,0];}else if(s0>s2){return [1,2,0];}else{return [1,0,2];}}else if(s0>s2){return [2,0,1];}else if(s2>s1){return [0,1,2];}else{return [0,2,1];}}})")):a.push("ORDER})")),a.push("proto.set=function "+r+"_set("+l.join(",")+",v){"),i?a.push("return this.data.set("+u+",v)}"):a.push("return this.data["+u+"]=v}"),a.push("proto.get=function "+r+"_get("+l.join(",")+"){"),i?a.push("return this.data.get("+u+")}"):a.push("return this.data["+u+"]}"),a.push("proto.index=function "+r+"_index(",l.join(),"){return "+u+"}"),a.push("proto.hi=function "+r+"_hi("+l.join(",")+"){return new "+r+"(this.data,"+o.map((function(t){return["(typeof i",t,"!=='number'||i",t,"<0)?this.shape[",t,"]:i",t,"|0"].join("")})).join(",")+","+o.map((function(t){return"this.stride["+t+"]"})).join(",")+",this.offset)}");var p=o.map((function(t){return"a"+t+"=this.shape["+t+"]"})),d=o.map((function(t){return"c"+t+"=this.stride["+t+"]"}));a.push("proto.lo=function "+r+"_lo("+l.join(",")+"){var b=this.offset,d=0,"+p.join(",")+","+d.join(","));for(var g=0;g<e;++g)a.push("if(typeof i"+g+"==='number'&&i"+g+">=0){d=i"+g+"|0;b+=c"+g+"*d;a"+g+"-=d}");a.push("return new "+r+"(this.data,"+o.map((function(t){return"a"+t})).join(",")+","+o.map((function(t){return"c"+t})).join(",")+",b)}"),a.push("proto.step=function "+r+"_step("+l.join(",")+"){var "+o.map((function(t){return"a"+t+"=this.shape["+t+"]"})).join(",")+","+o.map((function(t){return"b"+t+"=this.stride["+t+"]"})).join(",")+",c=this.offset,d=0,ceil=Math.ceil");for(g=0;g<e;++g)a.push("if(typeof i"+g+"==='number'){d=i"+g+"|0;if(d<0){c+=b"+g+"*(a"+g+"-1);a"+g+"=ceil(-a"+g+"/d)}else{a"+g+"=ceil(a"+g+"/d)}b"+g+"*=d}");a.push("return new "+r+"(this.data,"+o.map((function(t){return"a"+t})).join(",")+","+o.map((function(t){return"b"+t})).join(",")+",c)}");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]="a[i"+g+"]",v[g]="b[i"+g+"]";a.push("proto.transpose=function "+r+"_transpose("+l+"){"+l.map((function(t,e){return t+"=("+t+"===undefined?"+e+":"+t+"|0)"})).join(";"),"var a=this.shape,b=this.stride;return new "+r+"(this.data,"+m.join(",")+","+v.join(",")+",this.offset)}"),a.push("proto.pick=function "+r+"_pick("+l+"){var a=[],b=[],c=this.offset");for(g=0;g<e;++g)a.push("if(typeof i"+g+"==='number'&&i"+g+">=0){c=(c+this.stride["+g+"]*i"+g+")|0}else{a.push(this.shape["+g+"]);b.push(this.stride["+g+"])}");return a.push("var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}"),a.push("return function construct_"+r+"(data,shape,stride,offset){return new "+r+"(data,"+o.map((function(t){return"shape["+t+"]"})).join(",")+","+o.map((function(t){return"stride["+t+"]"})).join(",")+",offset)}"),new Function("CTOR_LIST","ORDER",a.join("\n"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);"number"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(i(t))return"buffer";if(a)switch(Object.prototype.toString.call(t)){case"[object Float64Array]":return"float64";case"[object Float32Array]":return"float32";case"[object Int8Array]":return"int8";case"[object Int16Array]":return"int16";case"[object Int32Array]":return"int32";case"[object Uint8Array]":return"uint8";case"[object Uint16Array]":return"uint16";case"[object Uint32Array]":return"uint32";case"[object Uint8ClampedArray]":return"uint8_clamped";case"[object BigInt64Array]":return"bigint64";case"[object BigUint64Array]":return"biguint64"}return Array.isArray(t)?"array":"generic"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{"iota-array":437,"is-buffer":439}],470:[function(t,e,r){"use strict";var n=t("double-bits"),i=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-i:i;var r=n.hi(t),a=n.lo(t);e>t==t>0?a===-1>>>0?(r+=1,a=0):a+=1:0===a?(a=-1>>>0,r-=1):a-=1;return n.pack(a,r)}},{"double-bits":173}],471:[function(t,e,r){var n=Math.PI,i=c(120);function a(t,e,r,n){return["C",t,e,r,n,r,n]}function o(t,e,r,n,i,a){return["C",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}function s(t,e,r,a,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(a*a);v>1&&(r*=v=Math.sqrt(v),a*=v);var y=r*r,x=a*a,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/a+(t+h)/2,w=b*-a*g/r+(e+f)/2,T=Math.asin(((e-w)/a).toFixed(9)),k=Math.asin(((f-w)/a).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>i){var M=k,A=h,S=f;k=T+i*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+a*Math.sin(k),r,a,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*a*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,i=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case"M":l=v[1],u=v[2];break;case"A":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift("C"),v.length>7&&(r.push(v.splice(0,7)),v.unshift("C"));break;case"S":var x=p,b=d;"C"!=e&&"S"!=e||(x+=x-n,b+=b-i),v=["C",x,b,v[1],v[2],v[3],v[4]];break;case"T":"Q"==e||"T"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case"Q":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case"L":v=a(p,d,v[1],v[2]);break;case"H":v=a(p,d,v[1],d);break;case"V":v=a(p,d,p,v[1]);break;case"Z":v=a(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],i=v[v.length-3]):(n=p,i=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o)i[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>a){var b=i[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=i[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>a)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return i},r.faceNormals=function(t,e,r){for(var n=t.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>a?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;i[o]=f}return i}},{}],473:[function(t,e,r){
+/*
+object-assign
+(c) Sindre Sorhus
+@license MIT
+*/
+"use strict";var n=Object.getOwnPropertySymbols,i=Object.prototype.hasOwnProperty,a=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError("Object.assign cannot be called with null or undefined");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String("abc");if(t[5]="de","5"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e["_"+String.fromCharCode(r)]=r;if("0123456789"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(""))return!1;var n={};return"abcdefghijklmnopqrst".split("").forEach((function(t){n[t]=t})),"abcdefghijklmnopqrst"===Object.keys(Object.assign({},n)).join("")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))i.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)a.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i,a,o,s,l,c){var u=e+a+c;if(h>0){var h=Math.sqrt(u+1);t[0]=.5*(o-l)/h,t[1]=.5*(s-n)/h,t[2]=.5*(r-a)/h,t[3]=.5*h}else{var f=Math.max(e,a,c);h=Math.sqrt(2*f-u+1);e>=f?(t[0]=.5*h,t[1]=.5*(i+r)/h,t[2]=.5*(s+n)/h,t[3]=.5*(o-l)/h):a>=f?(t[0]=.5*(r+i)/h,t[1]=.5*h,t[2]=.5*(l+o)/h,t[3]=.5*(s-n)/h):(t[0]=.5*(n+s)/h,t[1]=.5*(o+l)/h,t[2]=.5*h,t[3]=.5*(r-i)/h)}return t}},{}],475:[function(t,e,r){"use strict";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),u(r=[].slice.call(r,0,4),r);var i=new h(r,e,Math.log(n));i.setDistanceLimits(t.zoomMin,t.zoomMax),("eye"in t||"up"in t)&&i.lookAt(0,t.eye,t.center,t.up);return i};var n=t("filtered-vector"),i=t("gl-mat4/lookAt"),a=t("gl-mat4/fromQuat"),o=t("gl-mat4/invert"),s=t("./lib/quatFromFrame");function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function c(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=c(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*i[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=l(u-=a*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=i[2],m=i[6],v=i[10],y=g*a+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*a+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+a*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],h=i[5],f=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},f.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},f.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":474,"filtered-vector":242,"gl-mat4/fromQuat":275,"gl-mat4/invert":278,"gl-mat4/lookAt":279}],476:[function(t,e,r){
 /*!
  * pad-left <https://github.com/jonschlinkert/pad-left>
  *
  * Copyright (c) 2014-2015, Jon Schlinkert.
  * Licensed under the MIT license.
  */
-"use strict";var n=t("repeat-string");e.exports=function(t,e,r){return n(r=void 0!==r?r+"":" ",e)+t}},{"repeat-string":277}],265:[function(t,e,r){e.exports=function(t,e){e||(e=[0,""]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\d.\-\+]*\s*(.*)/)[1]||"",e}},{}],266:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=0|e.length,i=t.length,a=[new Array(r),new Array(r)],o=0;o<r;++o)a[0][o]=[],a[1][o]=[];for(o=0;o<i;++o){var s=t[o];a[0][s[0]].push(s),a[1][s[1]].push(s)}var l=[];for(o=0;o<r;++o)a[0][o].length+a[1][o].length===0&&l.push([o]);function c(t,e){var r=a[e][t[e]];r.splice(r.indexOf(t),1)}function u(t,r,i){for(var o,s,l,u=0;u<2;++u)if(a[u][r].length>0){o=a[u][r][0],l=u;break}s=o[1^l];for(var f=0;f<2;++f)for(var h=a[f][r],p=0;p<h.length;++p){var d=h[p],m=d[1^f];n(e[t],e[r],e[s],e[m])>0&&(o=d,s=m,l=f)}return i||o&&c(o,l),s}function f(t,r){var i=a[r][t][0],o=[t];c(i,r);for(var s=i[1^r];;){for(;s!==t;)o.push(s),s=u(o[o.length-2],s,!1);if(a[0][t].length+a[1][t].length===0)break;var l=o[o.length-1],f=t,h=o[1],p=u(l,f,!0);if(n(e[l],e[f],e[h],e[p])<0)break;o.push(t),s=u(l,f)}return o}function h(t,e){return e[1]===e[e.length-1]}for(o=0;o<r;++o)for(var p=0;p<2;++p){for(var d=[];a[p][o].length>0;){a[0][o].length;var m=f(o,p);h(0,m)?d.push.apply(d,m):(d.length>0&&l.push(d),d=m)}d.length>0&&l.push(d)}return l};var n=t("compare-angle")},{"compare-angle":54}],267:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=n(t,e.length),i=new Array(e.length),a=new Array(e.length),o=[],s=0;s<e.length;++s){var l=r[s].length;a[s]=l,i[s]=!0,l<=1&&o.push(s)}for(;o.length>0;){var c=o.pop();i[c]=!1;var u=r[c];for(s=0;s<u.length;++s){var f=u[s];0==--a[f]&&o.push(f)}}var h=new Array(e.length),p=[];for(s=0;s<e.length;++s)if(i[s]){c=p.length;h[s]=c,p.push(e[s])}else h[s]=-1;var d=[];for(s=0;s<t.length;++s){var m=t[s];i[m[0]]&&i[m[1]]&&d.push([h[m[0]],h[m[1]]])}return[d,p]};var n=t("edges-to-adjacency-list")},{"edges-to-adjacency-list":66}],268:[function(t,e,r){"use strict";e.exports=function(t,e){var r=c(t,e);t=r[0];for(var f=(e=r[1]).length,h=(t.length,n(t,e.length)),p=0;p<f;++p)if(h[p].length%2==1)throw new Error("planar-graph-to-polyline: graph must be manifold");var d=i(t,e);var m=(d=d.filter((function(t){for(var r=t.length,n=[0],i=0;i<r;++i){var a=e[t[i]],l=e[t[(i+1)%r]],c=o(-a[0],a[1]),u=o(-a[0],l[1]),f=o(l[0],a[1]),h=o(l[0],l[1]);n=s(n,s(s(c,u),s(f,h)))}return n[n.length-1]>0}))).length,g=new Array(m),v=new Array(m);for(p=0;p<m;++p){g[p]=p;var y=new Array(m),x=d[p].map((function(t){return e[t]})),b=a([x]),_=0;t:for(var w=0;w<m;++w)if(y[w]=0,p!==w){for(var T=(H=d[w]).length,k=0;k<T;++k){var A=b(e[H[k]]);if(0!==A){A<0&&(y[w]=1,_+=1);continue t}}y[w]=1,_+=1}v[p]=[_,p,y]}v.sort((function(t,e){return e[0]-t[0]}));for(p=0;p<m;++p){var M=(y=v[p])[1],S=y[2];for(w=0;w<m;++w)S[w]&&(g[w]=M)}var E=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=[];return e}(m);for(p=0;p<m;++p)E[p].push(g[p]),E[g[p]].push(p);var L={},C=u(f,!1);for(p=0;p<m;++p)for(T=(H=d[p]).length,w=0;w<T;++w){var P=H[w],I=H[(w+1)%T],O=Math.min(P,I)+":"+Math.max(P,I);if(O in L){var z=L[O];E[z].push(p),E[p].push(z),C[P]=C[I]=!0}else L[O]=p}function D(t){for(var e=t.length,r=0;r<e;++r)if(!C[t[r]])return!1;return!0}var R=[],F=u(m,-1);for(p=0;p<m;++p)g[p]!==p||D(d[p])?F[p]=-1:(R.push(p),F[p]=0);r=[];for(;R.length>0;){var B=R.pop(),N=E[B];l(N,(function(t,e){return t-e}));var j,U=N.length,V=F[B];if(0===V){var H=d[B];j=[H]}for(p=0;p<U;++p){var q=N[p];if(!(F[q]>=0))if(F[q]=1^V,R.push(q),0===V)D(H=d[q])||(H.reverse(),j.push(H))}0===V&&r.push(j)}return r};var n=t("edges-to-adjacency-list"),i=t("planar-dual"),a=t("point-in-big-polygon"),o=t("two-product"),s=t("robust-sum"),l=t("uniq"),c=t("./lib/trim-leaves");function u(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=e;return r}},{"./lib/trim-leaves":267,"edges-to-adjacency-list":66,"planar-dual":266,"point-in-big-polygon":269,"robust-sum":289,"two-product":306,uniq:310}],269:[function(t,e,r){e.exports=function(t){for(var e=t.length,r=[],a=[],s=0;s<e;++s)for(var u=t[s],f=u.length,h=f-1,p=0;p<f;h=p++){var d=u[h],m=u[p];d[0]===m[0]?a.push([d,m]):r.push([d,m])}if(0===r.length)return 0===a.length?c:(g=l(a),function(t){return g(t[0],t[1])?0:1});var g;var v=i(r),y=function(t,e){return function(r){var i=o.le(e,r[0]);if(i<0)return 1;var a=t[i];if(!a){if(!(i>0&&e[i]===r[0]))return 1;a=t[i-1]}for(var s=1;a;){var l=a.key,c=n(r,l[0],l[1]);if(l[0][0]<l[1][0])if(c<0)a=a.left;else{if(!(c>0))return 0;s=-1,a=a.right}else if(c>0)a=a.left;else{if(!(c<0))return 0;s=1,a=a.right}}return s}}(v.slabs,v.coordinates);return 0===a.length?y:function(t,e){return function(r){return t(r[0],r[1])?0:e(r)}}(l(a),y)};var n=t("robust-orientation")[3],i=t("slab-decomposition"),a=t("interval-tree-1d"),o=t("binary-search-bounds");function s(){return!0}function l(t){for(var e={},r=0;r<t.length;++r){var n=t[r],i=n[0][0],o=n[0][1],l=n[1][1],c=[Math.min(o,l),Math.max(o,l)];i in e?e[i].push(c):e[i]=[c]}var u={},f=Object.keys(e);for(r=0;r<f.length;++r){var h=e[f[r]];u[f[r]]=a(h)}return function(t){return function(e,r){var n=t[e];return!!n&&!!n.queryPoint(r,s)}}(u)}function c(t){return 1}},{"binary-search-bounds":31,"interval-tree-1d":234,"robust-orientation":284,"slab-decomposition":299}],270:[function(t,e,r){"use strict";var n=new Float64Array(4),i=new Float64Array(4),a=new Float64Array(4);e.exports=function(t,e,r,o,s){n.length<o.length&&(n=new Float64Array(o.length),i=new Float64Array(o.length),a=new Float64Array(o.length));for(var l=0;l<o.length;++l)n[l]=t[l]-o[l],i[l]=e[l]-t[l],a[l]=r[l]-t[l];var c=0,u=0,f=0,h=0,p=0,d=0;for(l=0;l<o.length;++l){var m=i[l],g=a[l],v=n[l];c+=m*m,u+=m*g,f+=g*g,h+=v*m,p+=v*g,d+=v*v}var y,x,b,_,w,T=Math.abs(c*f-u*u),k=u*p-f*h,A=u*h-c*p;if(k+A<=T)if(k<0)A<0&&h<0?(A=0,-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d):(k=0,p>=0?(A=0,y=d):-p>=f?(A=1,y=f+2*p+d):y=p*(A=-p/f)+d);else if(A<0)A=0,h>=0?(k=0,y=d):-h>=c?(k=1,y=c+2*h+d):y=h*(k=-h/c)+d;else{var M=1/T;y=(k*=M)*(c*k+u*(A*=M)+2*h)+A*(u*k+f*A+2*p)+d}else k<0?(b=f+p)>(x=u+h)?(_=b-x)>=(w=c-2*u+f)?(k=1,A=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(A=1-k)+2*h)+A*(u*k+f*A+2*p)+d:(k=0,b<=0?(A=1,y=f+2*p+d):p>=0?(A=0,y=d):y=p*(A=-p/f)+d):A<0?(b=c+h)>(x=u+p)?(_=b-x)>=(w=c-2*u+f)?(A=1,k=0,y=f+2*p+d):y=(k=1-(A=_/w))*(c*k+u*A+2*h)+A*(u*k+f*A+2*p)+d:(A=0,b<=0?(k=1,y=c+2*h+d):h>=0?(k=0,y=d):y=h*(k=-h/c)+d):(_=f+p-u-h)<=0?(k=0,A=1,y=f+2*p+d):_>=(w=c-2*u+f)?(k=1,A=0,y=c+2*h+d):y=(k=_/w)*(c*k+u*(A=1-k)+2*h)+A*(u*k+f*A+2*p)+d;var S=1-k-A;for(l=0;l<o.length;++l)s[l]=S*t[l]+k*e[l]+A*r[l];return y<0?0:y}},{}],271:[function(t,e,r){e.exports=t("gl-quat/slerp")},{"gl-quat/slerp":124}],272:[function(t,e,r){"use strict";var n=t("big-rat/add");e.exports=function(t,e){for(var r=t.length,i=new Array(r),a=0;a<r;++a)i[a]=n(t[a],e[a]);return i}},{"big-rat/add":15}],273:[function(t,e,r){"use strict";e.exports=function(t){for(var e=new Array(t.length),r=0;r<t.length;++r)e[r]=n(t[r]);return e};var n=t("big-rat")},{"big-rat":18}],274:[function(t,e,r){"use strict";var n=t("big-rat"),i=t("big-rat/mul");e.exports=function(t,e){for(var r=n(e),a=t.length,o=new Array(a),s=0;s<a;++s)o[s]=i(t[s],r);return o}},{"big-rat":18,"big-rat/mul":27}],275:[function(t,e,r){"use strict";var n=t("big-rat/sub");e.exports=function(t,e){for(var r=t.length,i=new Array(r),a=0;a<r;++a)i[a]=n(t[a],e[a]);return i}},{"big-rat/sub":29}],276:[function(t,e,r){"use strict";var n=t("compare-cell"),i=t("compare-oriented-cell"),a=t("cell-orientation");e.exports=function(t){t.sort(i);for(var e=t.length,r=0,o=0;o<e;++o){var s=t[o],l=a(s);if(0!==l){if(r>0){var c=t[r-1];if(0===n(s,c)&&a(c)!==l){r-=1;continue}}t[r++]=s}}return t.length=r,t}},{"cell-orientation":47,"compare-cell":56,"compare-oriented-cell":57}],277:[function(t,e,r){
+"use strict";var n=t("repeat-string");e.exports=function(t,e,r){return n(r="undefined"!=typeof r?r+"":" ",e)+t}},{"repeat-string":513}],477:[function(t,e,r){"use strict";function n(t,e){if("string"!=typeof t)return[t];var r=[t];"string"==typeof e||Array.isArray(e)?e={brackets:e}:e||(e={});var n=e.brackets?Array.isArray(e.brackets)?e.brackets:[e.brackets]:["{}","[]","()"],i=e.escape||"___",a=!!e.flat;n.forEach((function(t){var e=new RegExp(["\\",t[0],"[^\\",t[0],"\\",t[1],"]*\\",t[1]].join("")),n=[];function a(e,a,o){var s=r.push(e.slice(t[0].length,-t[1].length))-1;return n.push(s),i+s+i}r.forEach((function(t,n){for(var i,o=0;t!=i;)if(i=t,t=t.replace(e,a),o++>1e4)throw Error("References have circular dependency. Please, check them.");r[n]=t})),n=n.reverse(),r=r.map((function(e){return n.forEach((function(r){e=e.replace(new RegExp("(\\"+i+r+"\\"+i+")","g"),t[0]+"$1"+t[1])})),e}))}));var o=new RegExp("\\"+i+"([0-9]+)\\"+i);return a?r:function t(e,r,n){for(var i,a=[],s=0;i=o.exec(e);){if(s++>1e4)throw Error("Circular references in parenthesis");a.push(e.slice(0,i.index)),a.push(t(r[i[1]],r)),e=e.slice(i.index+i[0].length)}return a.push(e),a}(r[0],r)}function i(t,e){if(e&&e.flat){var r,n=e&&e.escape||"___",i=t[0];if(!i)return"";for(var a=new RegExp("\\"+n+"([0-9]+)\\"+n),o=0;i!=r;){if(o++>1e4)throw Error("Circular references in "+t);r=i,i=i.replace(a,s)}return i}return t.reduce((function t(e,r){return Array.isArray(r)&&(r=r.reduce(t,"")),e+r}),"");function s(e,r){if(null==t[r])throw Error("Reference "+r+"is undefined");return t[r]}}function a(t,e){return Array.isArray(t)?i(t,e):n(t,e)}a.parse=n,a.stringify=i,e.exports=a},{}],478:[function(t,e,r){"use strict";var n=t("pick-by-alias");e.exports=function(t){var e;arguments.length>1&&(t=arguments);"string"==typeof t?t=t.split(/\s/).map(parseFloat):"number"==typeof t&&(t=[t]);t.length&&"number"==typeof t[0]?e=1===t.length?{width:t[0],height:t[0],x:0,y:0}:2===t.length?{width:t[0],height:t[1],x:0,y:0}:{x:t[0],y:t[1],width:t[2]-t[0]||0,height:t[3]-t[1]||0}:t&&(t=n(t,{left:"x l left Left",top:"y t top Top",width:"w width W Width",height:"h height W Width",bottom:"b bottom Bottom",right:"r right Right"}),e={x:t.left||0,y:t.top||0},null==t.width?t.right?e.width=t.right-e.x:e.width=0:e.width=t.width,null==t.height?t.bottom?e.height=t.bottom-e.y:e.height=0:e.height=t.height);return e}},{"pick-by-alias":485}],479:[function(t,e,r){e.exports=function(t){var e=[];return t.replace(i,(function(t,r,i){var o=r.toLowerCase();for(i=function(t){var e=t.match(a);return e?e.map(Number):[]}(i),"m"==o&&i.length>2&&(e.push([r].concat(i.splice(0,2))),o="l",r="m"==r?"l":"L");;){if(i.length==n[o])return i.unshift(r),e.push(i);if(i.length<n[o])throw new Error("malformed path data");e.push([r].concat(i.splice(0,n[o])))}})),e};var n={a:7,c:6,h:1,l:2,m:2,q:4,s:4,t:2,v:1,z:0},i=/([astvzqmhlc])([^astvzqmhlc]*)/gi;var a=/-?[0-9]*\.?[0-9]+(?:e[-+]?\d+)?/gi},{}],480:[function(t,e,r){e.exports=function(t,e){e||(e=[0,""]),t=String(t);var r=parseFloat(t,10);return e[0]=r,e[1]=t.match(/[\d.\-\+]*\s*(.*)/)[1]||"",e}},{}],481:[function(t,e,r){(function(t){function e(t,e){for(var r=0,n=t.length-1;n>=0;n--){var i=t[n];"."===i?t.splice(n,1):".."===i?(t.splice(n,1),r++):r&&(t.splice(n,1),r--)}if(e)for(;r--;r)t.unshift("..");return t}function n(t,e){if(t.filter)return t.filter(e);for(var r=[],n=0;n<t.length;n++)e(t[n],n,t)&&r.push(t[n]);return r}r.resolve=function(){for(var r="",i=!1,a=arguments.length-1;a>=-1&&!i;a--){var o=a>=0?arguments[a]:t.cwd();if("string"!=typeof o)throw new TypeError("Arguments to path.resolve must be strings");o&&(r=o+"/"+r,i="/"===o.charAt(0))}return(i?"/":"")+(r=e(n(r.split("/"),(function(t){return!!t})),!i).join("/"))||"."},r.normalize=function(t){var a=r.isAbsolute(t),o="/"===i(t,-1);return(t=e(n(t.split("/"),(function(t){return!!t})),!a).join("/"))||a||(t="."),t&&o&&(t+="/"),(a?"/":"")+t},r.isAbsolute=function(t){return"/"===t.charAt(0)},r.join=function(){var t=Array.prototype.slice.call(arguments,0);return r.normalize(n(t,(function(t,e){if("string"!=typeof t)throw new TypeError("Arguments to path.join must be strings");return t})).join("/"))},r.relative=function(t,e){function n(t){for(var e=0;e<t.length&&""===t[e];e++);for(var r=t.length-1;r>=0&&""===t[r];r--);return e>r?[]:t.slice(e,r-e+1)}t=r.resolve(t).substr(1),e=r.resolve(e).substr(1);for(var i=n(t.split("/")),a=n(e.split("/")),o=Math.min(i.length,a.length),s=o,l=0;l<o;l++)if(i[l]!==a[l]){s=l;break}var c=[];for(l=s;l<i.length;l++)c.push("..");return(c=c.concat(a.slice(s))).join("/")},r.sep="/",r.delimiter=":",r.dirname=function(t){if("string"!=typeof t&&(t+=""),0===t.length)return".";for(var e=t.charCodeAt(0),r=47===e,n=-1,i=!0,a=t.length-1;a>=1;--a)if(47===(e=t.charCodeAt(a))){if(!i){n=a;break}}else i=!1;return-1===n?r?"/":".":r&&1===n?"/":t.slice(0,n)},r.basename=function(t,e){var r=function(t){"string"!=typeof t&&(t+="");var e,r=0,n=-1,i=!0;for(e=t.length-1;e>=0;--e)if(47===t.charCodeAt(e)){if(!i){r=e+1;break}}else-1===n&&(i=!1,n=e+1);return-1===n?"":t.slice(r,n)}(t);return e&&r.substr(-1*e.length)===e&&(r=r.substr(0,r.length-e.length)),r},r.extname=function(t){"string"!=typeof t&&(t+="");for(var e=-1,r=0,n=-1,i=!0,a=0,o=t.length-1;o>=0;--o){var s=t.charCodeAt(o);if(47!==s)-1===n&&(i=!1,n=o+1),46===s?-1===e?e=o:1!==a&&(a=1):-1!==e&&(a=-1);else if(!i){r=o+1;break}}return-1===e||-1===n||0===a||1===a&&e===n-1&&e===r+1?"":t.slice(e,n)};var i="b"==="ab".substr(-1)?function(t,e,r){return t.substr(e,r)}:function(t,e,r){return e<0&&(e=t.length+e),t.substr(e,r)}}).call(this,t("_process"))},{_process:500}],482:[function(t,e,r){(function(t){(function(){var r,n,i,a,o,s;"undefined"!=typeof performance&&null!==performance&&performance.now?e.exports=function(){return performance.now()}:"undefined"!=typeof t&&null!==t&&t.hrtime?(e.exports=function(){return(r()-o)/1e6},n=t.hrtime,a=(r=function(){var t;return 1e9*(t=n())[0]+t[1]})(),s=1e9*t.uptime(),o=a-s):Date.now?(e.exports=function(){return Date.now()-i},i=Date.now()):(e.exports=function(){return(new Date).getTime()-i},i=(new Date).getTime())}).call(this)}).call(this,t("_process"))},{_process:500}],483:[function(t,e,r){"use strict";e.exports=function(t){var e=t.length;if(e<32){for(var r=1,i=0;i<e;++i)for(var a=0;a<i;++a)if(t[i]<t[a])r=-r;else if(t[i]===t[a])return 0;return r}var o=n.mallocUint8(e);for(i=0;i<e;++i)o[i]=0;for(r=1,i=0;i<e;++i)if(!o[i]){var s=1;o[i]=1;for(a=t[i];a!==i;a=t[a]){if(o[a])return n.freeUint8(o),0;s+=1,o[a]=1}1&s||(r=-r)}return n.freeUint8(o),r};var n=t("typedarray-pool")},{"typedarray-pool":567}],484:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("invert-permutation");r.rank=function(t){var e=t.length;switch(e){case 0:case 1:return 0;case 2:return t[1]}var r,a,o,s=n.mallocUint32(e),l=n.mallocUint32(e),c=0;for(i(t,l),o=0;o<e;++o)s[o]=t[o];for(o=e-1;o>0;--o)a=l[o],r=s[o],s[o]=s[a],s[a]=r,l[o]=l[r],l[r]=a,c=(c+r)*o;return n.freeUint32(l),n.freeUint32(s),c},r.unrank=function(t,e,r){switch(t){case 0:return r||[];case 1:return r?(r[0]=0,r):[0];case 2:return r?(e?(r[0]=0,r[1]=1):(r[0]=1,r[1]=0),r):e?[0,1]:[1,0]}var n,i,a,o=1;for((r=r||new Array(t))[0]=0,a=1;a<t;++a)r[a]=a,o=o*a|0;for(a=t-1;a>0;--a)e=e-(n=e/o|0)*o|0,o=o/a|0,i=0|r[a],r[a]=0|r[n],r[n]=0|i;return r}},{"invert-permutation":436,"typedarray-pool":567}],485:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n,a,o={};if("string"==typeof e&&(e=i(e)),Array.isArray(e)){var s={};for(a=0;a<e.length;a++)s[e[a]]=!0;e=s}for(n in e)e[n]=i(e[n]);var l={};for(n in e){var c=e[n];if(Array.isArray(c))for(a=0;a<c.length;a++){var u=c[a];if(r&&(l[u]=!0),u in t){if(o[n]=t[u],r)for(var h=a;h<c.length;h++)l[c[h]]=!0;break}}else n in t&&(e[n]&&(o[n]=t[n]),r&&(l[n]=!0))}if(r)for(n in t)l[n]||(o[n]=t[n]);return o};var n={};function i(t){return n[t]?n[t]:("string"==typeof t&&(t=n[t]=t.split(/\s*,\s*|\s+/)),t)}},{}],486:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=0|e.length,i=t.length,a=[new Array(r),new Array(r)],o=0;o<r;++o)a[0][o]=[],a[1][o]=[];for(o=0;o<i;++o){var s=t[o];a[0][s[0]].push(s),a[1][s[1]].push(s)}var l=[];for(o=0;o<r;++o)a[0][o].length+a[1][o].length===0&&l.push([o]);function c(t,e){var r=a[e][t[e]];r.splice(r.indexOf(t),1)}function u(t,r,i){for(var o,s,l,u=0;u<2;++u)if(a[u][r].length>0){o=a[u][r][0],l=u;break}s=o[1^l];for(var h=0;h<2;++h)for(var f=a[h][r],p=0;p<f.length;++p){var d=f[p],g=d[1^h];n(e[t],e[r],e[s],e[g])>0&&(o=d,s=g,l=h)}return i||o&&c(o,l),s}function h(t,r){var i=a[r][t][0],o=[t];c(i,r);for(var s=i[1^r];;){for(;s!==t;)o.push(s),s=u(o[o.length-2],s,!1);if(a[0][t].length+a[1][t].length===0)break;var l=o[o.length-1],h=t,f=o[1],p=u(l,h,!0);if(n(e[l],e[h],e[f],e[p])<0)break;o.push(t),s=u(l,h)}return o}function f(t,e){return e[1]===e[e.length-1]}for(o=0;o<r;++o)for(var p=0;p<2;++p){for(var d=[];a[p][o].length>0;){a[0][o].length;var g=h(o,p);f(0,g)?d.push.apply(d,g):(d.length>0&&l.push(d),d=g)}d.length>0&&l.push(d)}return l};var n=t("compare-angle")},{"compare-angle":132}],487:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=n(t,e.length),i=new Array(e.length),a=new Array(e.length),o=[],s=0;s<e.length;++s){var l=r[s].length;a[s]=l,i[s]=!0,l<=1&&o.push(s)}for(;o.length>0;){var c=o.pop();i[c]=!1;var u=r[c];for(s=0;s<u.length;++s){var h=u[s];0==--a[h]&&o.push(h)}}var f=new Array(e.length),p=[];for(s=0;s<e.length;++s)if(i[s]){c=p.length;f[s]=c,p.push(e[s])}else f[s]=-1;var d=[];for(s=0;s<t.length;++s){var g=t[s];i[g[0]]&&i[g[1]]&&d.push([f[g[0]],f[g[1]]])}return[d,p]};var n=t("edges-to-adjacency-list")},{"edges-to-adjacency-list":178}],488:[function(t,e,r){"use strict";e.exports=function(t,e){var r=c(t,e);t=r[0];for(var h=(e=r[1]).length,f=(t.length,n(t,e.length)),p=0;p<h;++p)if(f[p].length%2==1)throw new Error("planar-graph-to-polyline: graph must be manifold");var d=i(t,e);var g=(d=d.filter((function(t){for(var r=t.length,n=[0],i=0;i<r;++i){var a=e[t[i]],l=e[t[(i+1)%r]],c=o(-a[0],a[1]),u=o(-a[0],l[1]),h=o(l[0],a[1]),f=o(l[0],l[1]);n=s(n,s(s(c,u),s(h,f)))}return n[n.length-1]>0}))).length,m=new Array(g),v=new Array(g);for(p=0;p<g;++p){m[p]=p;var y=new Array(g),x=d[p].map((function(t){return e[t]})),b=a([x]),_=0;t:for(var w=0;w<g;++w)if(y[w]=0,p!==w){for(var T=(q=d[w]).length,k=0;k<T;++k){var M=b(e[q[k]]);if(0!==M){M<0&&(y[w]=1,_+=1);continue t}}y[w]=1,_+=1}v[p]=[_,p,y]}v.sort((function(t,e){return e[0]-t[0]}));for(p=0;p<g;++p){var A=(y=v[p])[1],S=y[2];for(w=0;w<g;++w)S[w]&&(m[w]=A)}var E=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=[];return e}(g);for(p=0;p<g;++p)E[p].push(m[p]),E[m[p]].push(p);var C={},L=u(h,!1);for(p=0;p<g;++p)for(T=(q=d[p]).length,w=0;w<T;++w){var P=q[w],I=q[(w+1)%T],z=Math.min(P,I)+":"+Math.max(P,I);if(z in C){var O=C[z];E[O].push(p),E[p].push(O),L[P]=L[I]=!0}else C[z]=p}function D(t){for(var e=t.length,r=0;r<e;++r)if(!L[t[r]])return!1;return!0}var R=[],F=u(g,-1);for(p=0;p<g;++p)m[p]!==p||D(d[p])?F[p]=-1:(R.push(p),F[p]=0);r=[];for(;R.length>0;){var B=R.pop(),N=E[B];l(N,(function(t,e){return t-e}));var j,U=N.length,V=F[B];if(0===V){var q=d[B];j=[q]}for(p=0;p<U;++p){var H=N[p];if(!(F[H]>=0))if(F[H]=1^V,R.push(H),0===V)D(q=d[H])||(q.reverse(),j.push(q))}0===V&&r.push(j)}return r};var n=t("edges-to-adjacency-list"),i=t("planar-dual"),a=t("point-in-big-polygon"),o=t("two-product"),s=t("robust-sum"),l=t("uniq"),c=t("./lib/trim-leaves");function u(t,e){for(var r=new Array(t),n=0;n<t;++n)r[n]=e;return r}},{"./lib/trim-leaves":487,"edges-to-adjacency-list":178,"planar-dual":486,"point-in-big-polygon":490,"robust-sum":525,"two-product":554,uniq:569}],489:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],490:[function(t,e,r){e.exports=function(t){for(var e=t.length,r=[],a=[],s=0;s<e;++s)for(var u=t[s],h=u.length,f=h-1,p=0;p<h;f=p++){var d=u[f],g=u[p];d[0]===g[0]?a.push([d,g]):r.push([d,g])}if(0===r.length)return 0===a.length?c:(m=l(a),function(t){return m(t[0],t[1])?0:1});var m;var v=i(r),y=function(t,e){return function(r){var i=o.le(e,r[0]);if(i<0)return 1;var a=t[i];if(!a){if(!(i>0&&e[i]===r[0]))return 1;a=t[i-1]}for(var s=1;a;){var l=a.key,c=n(r,l[0],l[1]);if(l[0][0]<l[1][0])if(c<0)a=a.left;else{if(!(c>0))return 0;s=-1,a=a.right}else if(c>0)a=a.left;else{if(!(c<0))return 0;s=1,a=a.right}}return s}}(v.slabs,v.coordinates);return 0===a.length?y:function(t,e){return function(r){return t(r[0],r[1])?0:e(r)}}(l(a),y)};var n=t("robust-orientation")[3],i=t("slab-decomposition"),a=t("interval-tree-1d"),o=t("binary-search-bounds");function s(){return!0}function l(t){for(var e={},r=0;r<t.length;++r){var n=t[r],i=n[0][0],o=n[0][1],l=n[1][1],c=[Math.min(o,l),Math.max(o,l)];i in e?e[i].push(c):e[i]=[c]}var u={},h=Object.keys(e);for(r=0;r<h.length;++r){var f=e[h[r]];u[h[r]]=a(f)}return function(t){return function(e,r){var n=t[e];return!!n&&!!n.queryPoint(r,s)}}(u)}function c(t){return 1}},{"binary-search-bounds":489,"interval-tree-1d":434,"robust-orientation":520,"slab-decomposition":537}],491:[function(t,e,r){
+/*
+ * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc
+ * @license MIT
+ * @preserve Project Home: https://github.com/voidqk/polybooljs
+ */
+var n,i=t("./lib/build-log"),a=t("./lib/epsilon"),o=t("./lib/intersecter"),s=t("./lib/segment-chainer"),l=t("./lib/segment-selector"),c=t("./lib/geojson"),u=!1,h=a();function f(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return h.epsilon(t)},segments:function(t){var e=o(!0,h,u);return t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,h,u).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,u),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,u),inverted:t.inverted1&&t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,u),inverted:t.inverted1&&!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,u),inverted:!t.inverted1&&t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,u),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,h,u),inverted:t.inverted}},polygonFromGeoJSON:function(t){return c.toPolygon(n,t)},polygonToGeoJSON:function(t){return c.fromPolygon(n,h,t)},union:function(t,e){return f(t,e,n.selectUnion)},intersect:function(t,e){return f(t,e,n.selectIntersect)},difference:function(t,e){return f(t,e,n.selectDifference)},differenceRev:function(t,e){return f(t,e,n.selectDifferenceRev)},xor:function(t,e){return f(t,e,n.selectXor)}},"object"==typeof window&&(window.PolyBool=n),e.exports=n},{"./lib/build-log":492,"./lib/epsilon":493,"./lib/geojson":494,"./lib/intersecter":495,"./lib/segment-chainer":497,"./lib/segment-selector":498}],492:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n("check",{seg1:t,seg2:e})},segmentChop:function(t,e){return n("div_seg",{seg:t,pt:e}),n("chop",{seg:t,pt:e})},statusRemove:function(t){return n("pop_seg",{seg:t})},segmentUpdate:function(t){return n("seg_update",{seg:t})},segmentNew:function(t,e){return n("new_seg",{seg:t,primary:e})},segmentRemove:function(t){return n("rem_seg",{seg:t})},tempStatus:function(t,e,r){return n("temp_status",{seg:t,above:e,below:r})},rewind:function(t){return n("rewind",{seg:t})},status:function(t,e,r){return n("status",{seg:t,above:e,below:r})},vert:function(e){return e===r?t:(r=e,n("vert",{x:e}))},log:function(t){return"string"!=typeof t&&(t=JSON.stringify(t,!1,"  ")),n("log",{txt:t})},reset:function(){return n("reset")},selected:function(t){return n("selected",{segs:t})},chainStart:function(t){return n("chain_start",{seg:t})},chainRemoveHead:function(t,e){return n("chain_rem_head",{index:t,pt:e})},chainRemoveTail:function(t,e){return n("chain_rem_tail",{index:t,pt:e})},chainNew:function(t,e){return n("chain_new",{pt1:t,pt2:e})},chainMatch:function(t){return n("chain_match",{index:t})},chainClose:function(t){return n("chain_close",{index:t})},chainAddHead:function(t,e){return n("chain_add_head",{index:t,pt:e})},chainAddTail:function(t,e){return n("chain_add_tail",{index:t,pt:e})},chainConnect:function(t,e){return n("chain_con",{index1:t,index2:e})},chainReverse:function(t){return n("chain_rev",{index:t})},chainJoin:function(t,e){return n("chain_join",{index1:t,index2:e})},done:function(){return n("done")}}}},{}],493:[function(t,e,r){e.exports=function(t){"number"!=typeof t&&(t=1e-10);var e={epsilon:function(e){return"number"==typeof e&&(t=e),t},pointAboveOrOnLine:function(e,r,n){var i=r[0],a=r[1],o=n[0],s=n[1],l=e[0];return(o-i)*(e[1]-a)-(s-a)*(l-i)>=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l<t)&&!(l-(a*a+s*s)>-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])<t},pointsSameY:function(e,r){return Math.abs(e[1]-r[1])<t},pointsSame:function(t,r){return e.pointsSameX(t,r)&&e.pointsSameY(t,r)},pointsCompare:function(t,r){return e.pointsSameX(t,r)?e.pointsSameY(t,r)?0:t[1]<r[1]?-1:1:t[0]<r[0]?-1:1},pointsCollinear:function(e,r,n){var i=e[0]-r[0],a=e[1]-r[1],o=r[0]-n[0],s=r[1]-n[1];return Math.abs(i*s-o*a)<t},linesIntersect:function(e,r,n,i){var a=r[0]-e[0],o=r[1]-e[1],s=i[0]-n[0],l=i[1]-n[1],c=a*l-o*s;if(Math.abs(c)<t)return!1;var u=e[0]-n[0],h=e[1]-n[1],f=(s*h-l*u)/c,p=(a*h-o*u)/c,d={alongA:0,alongB:0,pt:[e[0]+f*a,e[1]+f*o]};return d.alongA=f<=-t?-2:f<t?-1:f-1<=-t?0:f-1<t?1:2,d.alongB=p<=-t?-2:p<t?-1:p-1<=-t?0:p-1<t?1:2,d},pointInsideRegion:function(e,r){for(var n=e[0],i=e[1],a=r[r.length-1][0],o=r[r.length-1][1],s=!1,l=0;l<r.length;l++){var c=r[l][0],u=r[l][1];u-i>t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],494:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i<e.length;i++)n=t.selectDifference(t.combine(n,r(e[i])));return n}if("Polygon"===e.type)return t.polygon(r(e.coordinates));if("MultiPolygon"===e.type){for(var n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error("PolyBool: Cannot convert GeoJSON object to PolyBool polygon")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++){if(n(e,(s=t.children[r]).region))return void o(s,e)}var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:"Polygon",coordinates:[]}:1==u.length?{type:"Polygon",coordinates:u[0]}:{type:"MultiPolygon",coordinates:u}}};e.exports=n},{}],495:[function(t,e,r){var n=t("./linked-list");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!a.isEmpty();){var f=a.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=f.seg.myFill;r&&r.segmentUpdate(y.seg),f.other.remove(),f.remove()}if(a.getHead()!==f){r&&r.rewind(f.seg);continue}if(t)x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=g?g.seg.myFill.above:i,f.seg.myFill.above=x?!f.seg.myFill.below:f.seg.myFill.below;else if(null===f.seg.otherFill)v=g?f.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:v,below:v};r&&r.status(f.seg,!!d&&d.seg,!!g&&g.seg),f.other.status=p.insert(n.node({ev:f}))}else{var b=f.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!f.primary){var _=f.seg.myFill;f.seg.myFill=f.seg.otherFill,f.seg.otherFill=_}h.push(f.seg)}a.getHead().remove()}return r&&r.done(),h}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{"./linked-list":496}],496:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],497:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var h=(m=n[u])[0],f=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(h,a)){if(k(u,!0,!0))break}else if(e.pointsSame(h,o)){if(k(u,!0,!1))break}else if(e.pointsSame(f,a)){if(k(u,!1,!0))break}else if(e.pointsSame(f,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(M(_),A(_,w)):(M(w),A(w,_)):A(w,_):l.matches_head?A(_,w):T?(M(_),A(w,_)):(M(w),A(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function M(t){r&&r.chainReverse(t),n[t].reverse()}function A(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],498:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],499:[function(t,e,r){"use strict";var n=new Float64Array(4),i=new Float64Array(4),a=new Float64Array(4);e.exports=function(t,e,r,o,s){n.length<o.length&&(n=new Float64Array(o.length),i=new Float64Array(o.length),a=new Float64Array(o.length));for(var l=0;l<o.length;++l)n[l]=t[l]-o[l],i[l]=e[l]-t[l],a[l]=r[l]-t[l];var c=0,u=0,h=0,f=0,p=0,d=0;for(l=0;l<o.length;++l){var g=i[l],m=a[l],v=n[l];c+=g*g,u+=g*m,h+=m*m,f+=v*g,p+=v*m,d+=v*v}var y,x,b,_,w,T=Math.abs(c*h-u*u),k=u*p-h*f,M=u*f-c*p;if(k+M<=T)if(k<0)M<0&&f<0?(M=0,-f>=c?(k=1,y=c+2*f+d):y=f*(k=-f/c)+d):(k=0,p>=0?(M=0,y=d):-p>=h?(M=1,y=h+2*p+d):y=p*(M=-p/h)+d);else if(M<0)M=0,f>=0?(k=0,y=d):-f>=c?(k=1,y=c+2*f+d):y=f*(k=-f/c)+d;else{var A=1/T;y=(k*=A)*(c*k+u*(M*=A)+2*f)+M*(u*k+h*M+2*p)+d}else k<0?(b=h+p)>(x=u+f)?(_=b-x)>=(w=c-2*u+h)?(k=1,M=0,y=c+2*f+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*f)+M*(u*k+h*M+2*p)+d:(k=0,b<=0?(M=1,y=h+2*p+d):p>=0?(M=0,y=d):y=p*(M=-p/h)+d):M<0?(b=c+f)>(x=u+p)?(_=b-x)>=(w=c-2*u+h)?(M=1,k=0,y=h+2*p+d):y=(k=1-(M=_/w))*(c*k+u*M+2*f)+M*(u*k+h*M+2*p)+d:(M=0,b<=0?(k=1,y=c+2*f+d):f>=0?(k=0,y=d):y=f*(k=-f/c)+d):(_=h+p-u-f)<=0?(k=0,M=1,y=h+2*p+d):_>=(w=c-2*u+h)?(k=1,M=0,y=c+2*f+d):y=(k=_/w)*(c*k+u*(M=1-k)+2*f)+M*(u*k+h*M+2*p)+d;var S=1-k-M;for(l=0;l<o.length;++l)s[l]=S*t[l]+k*e[l]+M*r[l];return y<0?0:y}},{}],500:[function(t,e,r){var n,i,a=e.exports={};function o(){throw new Error("setTimeout has not been defined")}function s(){throw new Error("clearTimeout has not been defined")}function l(t){if(n===setTimeout)return setTimeout(t,0);if((n===o||!n)&&setTimeout)return n=setTimeout,setTimeout(t,0);try{return n(t,0)}catch(e){try{return n.call(null,t,0)}catch(e){return n.call(this,t,0)}}}!function(){try{n="function"==typeof setTimeout?setTimeout:o}catch(t){n=o}try{i="function"==typeof clearTimeout?clearTimeout:s}catch(t){i=s}}();var c,u=[],h=!1,f=-1;function p(){h&&c&&(h=!1,c.length?u=c.concat(u):f=-1,u.length&&d())}function d(){if(!h){var t=l(p);h=!0;for(var e=u.length;e;){for(c=u,u=[];++f<e;)c&&c[f].run();f=-1,e=u.length}c=null,h=!1,function(t){if(i===clearTimeout)return clearTimeout(t);if((i===s||!i)&&clearTimeout)return i=clearTimeout,clearTimeout(t);try{i(t)}catch(e){try{return i.call(null,t)}catch(e){return i.call(this,t)}}}(t)}}function g(t,e){this.fun=t,this.array=e}function m(){}a.nextTick=function(t){var e=new Array(arguments.length-1);if(arguments.length>1)for(var r=1;r<arguments.length;r++)e[r-1]=arguments[r];u.push(new g(t,e)),1!==u.length||h||l(d)},g.prototype.run=function(){this.fun.apply(null,this.array)},a.title="browser",a.browser=!0,a.env={},a.argv=[],a.version="",a.versions={},a.on=m,a.addListener=m,a.once=m,a.off=m,a.removeListener=m,a.removeAllListeners=m,a.emit=m,a.prependListener=m,a.prependOnceListener=m,a.listeners=function(t){return[]},a.binding=function(t){throw new Error("process.binding is not supported")},a.cwd=function(){return"/"},a.chdir=function(t){throw new Error("process.chdir is not supported")},a.umask=function(){return 0}},{}],501:[function(t,e,r){e.exports=t("gl-quat/slerp")},{"gl-quat/slerp":304}],502:[function(t,e,r){(function(r){for(var n=t("performance-now"),i="undefined"==typeof window?r:window,a=["moz","webkit"],o="AnimationFrame",s=i["request"+o],l=i["cancel"+o]||i["cancelRequest"+o],c=0;!s&&c<a.length;c++)s=i[a[c]+"Request"+o],l=i[a[c]+"Cancel"+o]||i[a[c]+"CancelRequest"+o];if(!s||!l){var u=0,h=0,f=[];s=function(t){if(0===f.length){var e=n(),r=Math.max(0,1e3/60-(e-u));u=r+e,setTimeout((function(){var t=f.slice(0);f.length=0;for(var e=0;e<t.length;e++)if(!t[e].cancelled)try{t[e].callback(u)}catch(t){setTimeout((function(){throw t}),0)}}),Math.round(r))}return f.push({handle:++h,callback:t,cancelled:!1}),h},l=function(t){for(var e=0;e<f.length;e++)f[e].handle===t&&(f[e].cancelled=!0)}}e.exports=function(t){return s.call(i,t)},e.exports.cancel=function(){l.apply(i,arguments)},e.exports.polyfill=function(t){t||(t=i),t.requestAnimationFrame=s,t.cancelAnimationFrame=l}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"performance-now":482}],503:[function(t,e,r){"use strict";var n=t("big-rat/add");e.exports=function(t,e){for(var r=t.length,i=new Array(r),a=0;a<r;++a)i[a]=n(t[a],e[a]);return i}},{"big-rat/add":80}],504:[function(t,e,r){"use strict";e.exports=function(t){for(var e=new Array(t.length),r=0;r<t.length;++r)e[r]=n(t[r]);return e};var n=t("big-rat")},{"big-rat":83}],505:[function(t,e,r){"use strict";var n=t("big-rat"),i=t("big-rat/mul");e.exports=function(t,e){for(var r=n(e),a=t.length,o=new Array(a),s=0;s<a;++s)o[s]=i(t[s],r);return o}},{"big-rat":83,"big-rat/mul":92}],506:[function(t,e,r){"use strict";var n=t("big-rat/sub");e.exports=function(t,e){for(var r=t.length,i=new Array(r),a=0;a<r;++a)i[a]=n(t[a],e[a]);return i}},{"big-rat/sub":94}],507:[function(t,e,r){"use strict";var n=t("compare-cell"),i=t("compare-oriented-cell"),a=t("cell-orientation");e.exports=function(t){t.sort(i);for(var e=t.length,r=0,o=0;o<e;++o){var s=t[o],l=a(s);if(0!==l){if(r>0){var c=t[r-1];if(0===n(s,c)&&a(c)!==l){r-=1;continue}}t[r++]=s}}return t.length=r,t}},{"cell-orientation":117,"compare-cell":133,"compare-oriented-cell":134}],508:[function(t,e,r){"use strict";var n=t("array-bounds"),i=t("color-normalize"),a=t("update-diff"),o=t("pick-by-alias"),s=t("object-assign"),l=t("flatten-vertex-data"),c=t("to-float32"),u=c.float32,h=c.fract32;e.exports=function(t,e){"function"==typeof t?(e||(e={}),e.regl=t):e=t;e.length&&(e.positions=e);if(!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");var r,c,p,d,g,m,v=t._gl,y={color:"black",capSize:5,lineWidth:1,opacity:1,viewport:null,range:null,offset:0,count:0,bounds:null,positions:[],errors:[]},x=[];return d=t.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array(0)}),c=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)}),p=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)}),g=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)}),m=t.buffer({usage:"static",type:"float",data:f}),T(e),r=t({vert:"\n\t\tprecision highp float;\n\n\t\tattribute vec2 position, positionFract;\n\t\tattribute vec4 error;\n\t\tattribute vec4 color;\n\n\t\tattribute vec2 direction, lineOffset, capOffset;\n\n\t\tuniform vec4 viewport;\n\t\tuniform float lineWidth, capSize;\n\t\tuniform vec2 scale, scaleFract, translate, translateFract;\n\n\t\tvarying vec4 fragColor;\n\n\t\tvoid main() {\n\t\t\tfragColor = color / 255.;\n\n\t\t\tvec2 pixelOffset = lineWidth * lineOffset + (capSize + lineWidth) * capOffset;\n\n\t\t\tvec2 dxy = -step(.5, direction.xy) * error.xz + step(direction.xy, vec2(-.5)) * error.yw;\n\n\t\t\tvec2 position = position + dxy;\n\n\t\t\tvec2 pos = (position + translate) * scale\n\t\t\t\t+ (positionFract + translateFract) * scale\n\t\t\t\t+ (position + translate) * scaleFract\n\t\t\t\t+ (positionFract + translateFract) * scaleFract;\n\n\t\t\tpos += pixelOffset / viewport.zw;\n\n\t\t\tgl_Position = vec4(pos * 2. - 1., 0, 1);\n\t\t}\n\t\t",frag:"\n\t\tprecision highp float;\n\n\t\tvarying vec4 fragColor;\n\n\t\tuniform float opacity;\n\n\t\tvoid main() {\n\t\t\tgl_FragColor = fragColor;\n\t\t\tgl_FragColor.a *= opacity;\n\t\t}\n\t\t",uniforms:{range:t.prop("range"),lineWidth:t.prop("lineWidth"),capSize:t.prop("capSize"),opacity:t.prop("opacity"),scale:t.prop("scale"),translate:t.prop("translate"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{color:{buffer:d,offset:function(t,e){return 4*e.offset},divisor:1},position:{buffer:c,offset:function(t,e){return 8*e.offset},divisor:1},positionFract:{buffer:p,offset:function(t,e){return 8*e.offset},divisor:1},error:{buffer:g,offset:function(t,e){return 16*e.offset},divisor:1},direction:{buffer:m,stride:24,offset:0},lineOffset:{buffer:m,stride:24,offset:8},capOffset:{buffer:m,stride:24,offset:16}},primitive:"triangles",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:!1,instances:t.prop("count"),count:f.length}),s(b,{update:T,draw:_,destroy:k,regl:t,gl:v,canvas:v.canvas,groups:x}),b;function b(t){t?T(t):null===t&&k(),_()}function _(e){if("number"==typeof e)return w(e);e&&!Array.isArray(e)&&(e=[e]),t._refresh(),x.forEach((function(t,r){t&&(e&&(e[r]?t.draw=!0:t.draw=!1),t.draw?w(r):t.draw=!0)}))}function w(t){"number"==typeof t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,c){var u=x[c];return t?("function"==typeof t?t={after:t}:"number"==typeof t[0]&&(t={positions:t}),t=o(t,{color:"color colors fill",capSize:"capSize cap capsize cap-size",lineWidth:"lineWidth line-width width line thickness",opacity:"opacity alpha",range:"range dataBox",viewport:"viewport viewBox",errors:"errors error",positions:"positions position data points"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,"float64"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t="transparent"),!Array.isArray(t)||"number"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error("Not enough colors");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],"uint8");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=h(e.scale),e.translateFract=h(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:v.drawingBufferWidth,height:v.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),m=new Float64Array(2*f),_=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),m.set(r,2*i))}})),c(u(m)),p(h(m)),d(_),g(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),g.destroy(),m.destroy()}};var f=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{"array-bounds":70,"color-normalize":125,"flatten-vertex-data":244,"object-assign":473,"pick-by-alias":485,"to-float32":549,"update-diff":571}],509:[function(t,e,r){"use strict";var n=t("color-normalize"),i=t("array-bounds"),a=t("object-assign"),o=t("glslify"),s=t("pick-by-alias"),l=t("flatten-vertex-data"),c=t("earcut"),u=t("array-normalize"),h=t("to-float32"),f=h.float32,p=h.fract32,d=t("es6-weak-map"),g=t("parse-rect");function m(t,e){if(!(this instanceof m))return new m(t,e);if("function"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=m.shaders.has(t)?m.shaders.get(t):m.shaders.set(t,m.createShaders(t)).get(t),this.update(e)}e.exports=m,m.dashMult=2,m.maxPatternLength=256,m.precisionThreshold=3e6,m.maxPoints=1e4,m.maxLines=2048,m.shaders=new d,m.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle strip",instances:t.prop("count"),count:4,offset:0,uniforms:{miterMode:function(t,e){return"round"===e.join?2:1},miterLimit:t.prop("miterLimit"),scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),thickness:t.prop("thickness"),dashPattern:t.prop("dashTexture"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),dashSize:t.prop("dashLength"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop("depth")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport")},i=t(a({vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\nattribute vec4 color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\n\nuniform float dashSize, pixelRatio, thickness, opacity, id;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},m.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,"float64"),y=d.count=Math.floor(v.length/2);var w=d.bounds=i(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K="transparent");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&"number"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],"uint8");Q.set(tt,4*$)}Q.set(n(K[0],"uint8"),4*J)}else for(var et=n(K,"uint8"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:"dynamic",type:"uint8",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{"array-bounds":70,"array-normalize":71,"color-normalize":125,earcut:177,"es6-weak-map":233,"flatten-vertex-data":244,glslify:413,"object-assign":473,"parse-rect":478,"pick-by-alias":485,"to-float32":549}],510:[function(t,e,r){"use strict";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if("undefined"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return r}(t,e)||a(t,e)||function(){throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function i(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if("undefined"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||a(t)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function a(t,e){if(t){if("string"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return"Object"===r&&t.constructor&&(r=t.constructor.name),"Map"===r||"Set"===r?Array.from(t):"Arguments"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t("color-normalize"),l=t("array-bounds"),c=t("color-id"),u=t("@plotly/point-cluster"),h=t("object-assign"),f=t("glslify"),p=t("pick-by-alias"),d=t("update-diff"),g=t("flatten-vertex-data"),m=t("is-iexplorer"),v=t("to-float32"),y=t("parse-rect"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);"function"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:"uint8",format:"rgba",wrapS:"clamp",wrapT:"clamp",mag:"nearest",min:"nearest"}),h(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context("pixelRatio"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translate:t.prop("translate"),translateFract:t.prop("translateFract"),opacity:t.prop("opacity"),marker:t.prop("markerTexture")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=h({},o);s.frag=f(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nuniform sampler2D marker;\nuniform float opacity;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=f(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform float pixelRatio;\nuniform bool constPointSize;\nuniform sampler2D palette;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(palette,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=h({},o);l.frag=f(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\n\nuniform float opacity;\nvarying float fragBorderRadius, fragWidth;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=f(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio;\nuniform bool constPointSize;\nuniform sampler2D palette;\nuniform vec2 paletteSize;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(palette,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),m&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=h({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,"float64");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(f):e.elements=o.elements(f)}return i({data:v.float(t),usage:"dynamic"}),a({data:v.fract(t),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:"dynamic"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:"uint8",usage:"dynamic"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:"linear",min:"linear"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if("number"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,"uint8");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}i[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t("object-assign");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{"@plotly/point-cluster":57,"array-bounds":70,"color-id":123,"color-normalize":125,"flatten-vertex-data":244,glslify:413,"is-iexplorer":440,"object-assign":473,"parse-rect":478,"pick-by-alias":485,"to-float32":549,"update-diff":571}],511:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("pick-by-alias"),a=t("array-bounds"),o=t("raf"),s=t("array-range"),l=t("parse-rect"),c=t("flatten-vertex-data");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if("number"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:"data items columns rows values dimensions samples x",snap:"snap cluster",size:"sizes size radius",color:"colors color fill fill-color fillColor",opacity:"opacity alpha transparency opaque",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",borderColor:"borderColors borderColor bordercolor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range ranges databox dataBox",viewport:"viewport viewBox viewbox",domain:"domain domains area areas",padding:"pad padding paddings pads margin margins",transpose:"transpose transposed",diagonal:"diagonal diag showDiagonal",upper:"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf",lower:"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),color:"black",marker:null,size:12,borderColor:"transparent",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&"number"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&"number"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=h(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:A.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},A.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],P=E[2],I=E[3];A.viewport=[x+C*v+S[0],b+L*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else A.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(A.color=s.color),o.size&&(A.size=s.size),o.marker&&(A.marker=s.marker),o.borderSize&&(A.borderSize=s.borderSize),o.borderColor&&(A.borderColor=s.borderColor),o.opacity&&(A.opacity=s.opacity),o.range&&(A.range=n?f(s.range,T,k):s.range||A.bounds),s.passes.push(M)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if("number"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},{"array-bounds":70,"array-range":72,"flatten-vertex-data":244,"parse-rect":478,"pick-by-alias":485,raf:502,"regl-scatter2d":510}],512:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?e.exports=n():t.createREGL=n()}(this,(function(){function t(t,e){this.id=V++,this.type=t,this.data=e}function e(t){return"["+function t(e){if(0===e.length)return[];var r=e.charAt(0),n=e.charAt(e.length-1);if(1<e.length&&r===n&&('"'===r||"'"===r))return['"'+e.substr(1,e.length-2).replace(/\\/g,"\\\\").replace(/"/g,'\\"')+'"'];if(r=/\[(false|true|null|\d+|'[^']*'|"[^"]*")\]/.exec(e))return t(e.substr(0,r.index)).concat(t(r[1])).concat(t(e.substr(r.index+r[0].length)));if(1===(r=e.split(".")).length)return['"'+e.replace(/\\/g,"\\\\").replace(/"/g,'\\"')+'"'];for(e=[],n=0;n<r.length;++n)e=e.concat(t(r[n]));return e}(t).join("][")+"]"}function r(t){return"string"==typeof t?t.split():t}function n(t){return"string"==typeof t?document.querySelector(t):t}function i(t){var e,i,a,o,s=t||{};t={};var l=[],c=[],u="undefined"==typeof window?1:window.devicePixelRatio,h=!1,f=function(t){},p=function(){};if("string"==typeof s?e=document.querySelector(s):"object"==typeof s&&("string"==typeof s.nodeName&&"function"==typeof s.appendChild&&"function"==typeof s.getBoundingClientRect?e=s:"function"==typeof s.drawArrays||"function"==typeof s.drawElements?a=(o=s).canvas:("gl"in s?o=s.gl:"canvas"in s?a=n(s.canvas):"container"in s&&(i=n(s.container)),"attributes"in s&&(t=s.attributes),"extensions"in s&&(l=r(s.extensions)),"optionalExtensions"in s&&(c=r(s.optionalExtensions)),"onDone"in s&&(f=s.onDone),"profile"in s&&(h=!!s.profile),"pixelRatio"in s&&(u=+s.pixelRatio))),e&&("canvas"===e.nodeName.toLowerCase()?a=e:i=e),!o){if(!a){if(!(e=function(t,e,r){function n(){var e=window.innerWidth,n=window.innerHeight;t!==document.body&&(e=(n=t.getBoundingClientRect()).right-n.left,n=n.bottom-n.top),a.width=r*e,a.height=r*n,U(a.style,{width:e+"px",height:n+"px"})}var i,a=document.createElement("canvas");return U(a.style,{border:0,margin:0,padding:0,top:0,left:0}),t.appendChild(a),t===document.body&&(a.style.position="absolute",U(t.style,{margin:0,padding:0})),t!==document.body&&"function"==typeof ResizeObserver?(i=new ResizeObserver((function(){setTimeout(n)}))).observe(t):window.addEventListener("resize",n,!1),n(),{canvas:a,onDestroy:function(){i?i.disconnect():window.removeEventListener("resize",n),t.removeChild(a)}}}(i||document.body,0,u)))return null;a=e.canvas,p=e.onDestroy}void 0===t.premultipliedAlpha&&(t.premultipliedAlpha=!0),o=function(t,e){function r(r){try{return t.getContext(r,e)}catch(t){return null}}return r("webgl")||r("experimental-webgl")||r("webgl-experimental")}(a,t)}return o?{gl:o,canvas:a,container:i,extensions:l,optionalExtensions:c,pixelRatio:u,profile:h,onDone:f,onDestroy:p}:(p(),f("webgl not supported, try upgrading your browser or graphics drivers http://get.webgl.org"),null)}function a(t,e){for(var r=Array(t),n=0;n<t;++n)r[n]=e(n);return r}function o(t){var e,r;return e=(65535<t)<<4,e|=r=(255<(t>>>=e))<<3,(e|=r=(15<(t>>>=r))<<2)|(r=(3<(t>>>=r))<<1)|t>>>r>>1}function s(){function t(t){t:{for(var e=16;268435456>=e;e*=16)if(t<=e){t=e;break t}t=0}return 0<(e=r[o(t)>>2]).length?e.pop():new ArrayBuffer(t)}function e(t){r[o(t.byteLength)>>2].push(t)}var r=a(8,(function(){return[]}));return{alloc:t,free:e,allocType:function(e,r){var n=null;switch(e){case 5120:n=new Int8Array(t(r),0,r);break;case 5121:n=new Uint8Array(t(r),0,r);break;case 5122:n=new Int16Array(t(2*r),0,r);break;case 5123:n=new Uint16Array(t(2*r),0,r);break;case 5124:n=new Int32Array(t(4*r),0,r);break;case 5125:n=new Uint32Array(t(4*r),0,r);break;case 5126:n=new Float32Array(t(4*r),0,r);break;default:return null}return n.length!==r?n.subarray(0,r):n},freeType:function(t){e(t.buffer)}}}function l(t){return!!t&&"object"==typeof t&&Array.isArray(t.shape)&&Array.isArray(t.stride)&&"number"==typeof t.offset&&t.shape.length===t.stride.length&&(Array.isArray(t.data)||Z(t.data))}function c(t,e,r,n,i,a){for(var o=0;o<e;++o)for(var s=t[o],l=0;l<r;++l)for(var c=s[l],u=0;u<n;++u)i[a++]=c[u]}function u(t){return 0|K[Object.prototype.toString.call(t)]}function h(t,e){for(var r=0;r<e.length;++r)t[r]=e[r]}function f(t,e,r,n,i,a,o){for(var s=0,l=0;l<r;++l)for(var c=0;c<n;++c)t[s++]=e[i*l+a*c+o]}function p(t,e,r,n){function i(e){this.id=c++,this.buffer=t.createBuffer(),this.type=e,this.usage=35044,this.byteLength=0,this.dimension=1,this.dtype=5121,this.persistentData=null,r.profile&&(this.stats={size:0})}function a(e,r,n){e.byteLength=r.byteLength,t.bufferData(e.type,r,n)}function o(t,e,r,n,i,o){if(t.usage=r,Array.isArray(e)){if(t.dtype=n||5126,0<e.length)if(Array.isArray(e[0])){i=et(e);for(var s=n=1;s<i.length;++s)n*=i[s];t.dimension=n,a(t,e=tt(e,i,t.dtype),r),o?t.persistentData=e:Y.freeType(e)}else"number"==typeof e[0]?(t.dimension=i,h(i=Y.allocType(t.dtype,e.length),e),a(t,i,r),o?t.persistentData=i:Y.freeType(i)):Z(e[0])&&(t.dimension=e[0].length,t.dtype=n||u(e[0])||5126,a(t,e=tt(e,[e.length,e[0].length],t.dtype),r),o?t.persistentData=e:Y.freeType(e))}else if(Z(e))t.dtype=n||u(e),t.dimension=i,a(t,e,r),o&&(t.persistentData=new Uint8Array(new Uint8Array(e.buffer)));else if(l(e)){i=e.shape;var c=e.stride,p=(s=e.offset,0),d=0,g=0,m=0;1===i.length?(p=i[0],d=1,g=c[0],m=0):2===i.length&&(p=i[0],d=i[1],g=c[0],m=c[1]),t.dtype=n||u(e.data)||5126,t.dimension=d,f(i=Y.allocType(t.dtype,p*d),e.data,p,d,g,m,s),a(t,i,r),o?t.persistentData=i:Y.freeType(i)}else e instanceof ArrayBuffer&&(t.dtype=5121,t.dimension=i,a(t,e,r),o&&(t.persistentData=new Uint8Array(new Uint8Array(e))))}function s(r){e.bufferCount--,n(r),t.deleteBuffer(r.buffer),r.buffer=null,delete p[r.id]}var c=0,p={};i.prototype.bind=function(){t.bindBuffer(this.type,this.buffer)},i.prototype.destroy=function(){s(this)};var d=[];return r.profile&&(e.getTotalBufferSize=function(){var t=0;return Object.keys(p).forEach((function(e){t+=p[e].stats.size})),t}),{create:function(n,a,c,d){function g(e){var n=35044,i=null,a=0,s=0,c=1;return Array.isArray(e)||Z(e)||l(e)||e instanceof ArrayBuffer?i=e:"number"==typeof e?a=0|e:e&&("data"in e&&(i=e.data),"usage"in e&&(n=$[e.usage]),"type"in e&&(s=Q[e.type]),"dimension"in e&&(c=0|e.dimension),"length"in e&&(a=0|e.length)),m.bind(),i?o(m,i,n,s,c,d):(a&&t.bufferData(m.type,a,n),m.dtype=s||5121,m.usage=n,m.dimension=c,m.byteLength=a),r.profile&&(m.stats.size=m.byteLength*rt[m.dtype]),g}e.bufferCount++;var m=new i(a);return p[m.id]=m,c||g(n),g._reglType="buffer",g._buffer=m,g.subdata=function(e,r){var n,i=0|(r||0);if(m.bind(),Z(e)||e instanceof ArrayBuffer)t.bufferSubData(m.type,i,e);else if(Array.isArray(e)){if(0<e.length)if("number"==typeof e[0]){var a=Y.allocType(m.dtype,e.length);h(a,e),t.bufferSubData(m.type,i,a),Y.freeType(a)}else(Array.isArray(e[0])||Z(e[0]))&&(n=et(e),a=tt(e,n,m.dtype),t.bufferSubData(m.type,i,a),Y.freeType(a))}else if(l(e)){n=e.shape;var o=e.stride,s=a=0,c=0,p=0;1===n.length?(a=n[0],s=1,c=o[0],p=0):2===n.length&&(a=n[0],s=n[1],c=o[0],p=o[1]),n=Array.isArray(e.data)?m.dtype:u(e.data),f(n=Y.allocType(n,a*s),e.data,a,s,c,p,e.offset),t.bufferSubData(m.type,i,n),Y.freeType(n)}return g},r.profile&&(g.stats=m.stats),g.destroy=function(){s(m)},g},createStream:function(t,e){var r=d.pop();return r||(r=new i(t)),r.bind(),o(r,e,35040,0,1,!1),r},destroyStream:function(t){d.push(t)},clear:function(){X(p).forEach(s),d.forEach(s)},getBuffer:function(t){return t&&t._buffer instanceof i?t._buffer:null},restore:function(){X(p).forEach((function(e){e.buffer=t.createBuffer(),t.bindBuffer(e.type,e.buffer),t.bufferData(e.type,e.persistentData||e.byteLength,e.usage)}))},_initBuffer:o}}function d(t,e,r,n){function i(t){this.id=c++,s[this.id]=this,this.buffer=t,this.primType=4,this.type=this.vertCount=0}function a(n,i,a,o,s,c,u){var h;if(n.buffer.bind(),i?((h=u)||Z(i)&&(!l(i)||Z(i.data))||(h=e.oes_element_index_uint?5125:5123),r._initBuffer(n.buffer,i,a,h,3)):(t.bufferData(34963,c,a),n.buffer.dtype=h||5121,n.buffer.usage=a,n.buffer.dimension=3,n.buffer.byteLength=c),h=u,!u){switch(n.buffer.dtype){case 5121:case 5120:h=5121;break;case 5123:case 5122:h=5123;break;case 5125:case 5124:h=5125}n.buffer.dtype=h}n.type=h,0>(i=s)&&(i=n.buffer.byteLength,5123===h?i>>=1:5125===h&&(i>>=2)),n.vertCount=i,i=o,0>o&&(i=4,1===(o=n.buffer.dimension)&&(i=0),2===o&&(i=1),3===o&&(i=4)),n.primType=i}function o(t){n.elementsCount--,delete s[t.id],t.buffer.destroy(),t.buffer=null}var s={},c=0,u={uint8:5121,uint16:5123};e.oes_element_index_uint&&(u.uint32=5125),i.prototype.bind=function(){this.buffer.bind()};var h=[];return{create:function(t,e){function s(t){if(t)if("number"==typeof t)c(t),h.primType=4,h.vertCount=0|t,h.type=5121;else{var e=null,r=35044,n=-1,i=-1,o=0,f=0;Array.isArray(t)||Z(t)||l(t)?e=t:("data"in t&&(e=t.data),"usage"in t&&(r=$[t.usage]),"primitive"in t&&(n=nt[t.primitive]),"count"in t&&(i=0|t.count),"type"in t&&(f=u[t.type]),"length"in t?o=0|t.length:(o=i,5123===f||5122===f?o*=2:5125!==f&&5124!==f||(o*=4))),a(h,e,r,n,i,o,f)}else c(),h.primType=4,h.vertCount=0,h.type=5121;return s}var c=r.create(null,34963,!0),h=new i(c._buffer);return n.elementsCount++,s(t),s._reglType="elements",s._elements=h,s.subdata=function(t,e){return c.subdata(t,e),s},s.destroy=function(){o(h)},s},createStream:function(t){var e=h.pop();return e||(e=new i(r.create(null,34963,!0,!1)._buffer)),a(e,t,35040,-1,-1,0,0),e},destroyStream:function(t){h.push(t)},getElements:function(t){return"function"==typeof t&&t._elements instanceof i?t._elements:null},clear:function(){X(s).forEach(o)}}}function g(t){for(var e=Y.allocType(5123,t.length),r=0;r<t.length;++r)if(isNaN(t[r]))e[r]=65535;else if(1/0===t[r])e[r]=31744;else if(-1/0===t[r])e[r]=64512;else{it[0]=t[r];var n=(a=at[0])>>>31<<15,i=(a<<1>>>24)-127,a=a>>13&1023;e[r]=-24>i?n:-14>i?n+(a+1024>>-14-i):15<i?n+31744:n+(i+15<<10)+a}return e}function m(t){return Array.isArray(t)||Z(t)}function v(t){return"[object "+t+"]"}function y(t){return Array.isArray(t)&&(0===t.length||"number"==typeof t[0])}function x(t){return!(!Array.isArray(t)||0===t.length||!m(t[0]))}function b(t){return Object.prototype.toString.call(t)}function _(t){if(!t)return!1;var e=b(t);return 0<=gt.indexOf(e)||(y(t)||x(t)||l(t))}function w(t,e){36193===t.type?(t.data=g(e),Y.freeType(e)):t.data=e}function T(t,e,r,n,i,a){if(t="undefined"!=typeof vt[t]?vt[t]:lt[t]*mt[e],a&&(t*=6),i){for(n=0;1<=r;)n+=t*r*r,r/=2;return n}return t*r*n}function k(t,e,r,n,i,a,o){function s(){this.format=this.internalformat=6408,this.type=5121,this.flipY=this.premultiplyAlpha=this.compressed=!1,this.unpackAlignment=1,this.colorSpace=37444,this.channels=this.height=this.width=0}function c(t,e){t.internalformat=e.internalformat,t.format=e.format,t.type=e.type,t.compressed=e.compressed,t.premultiplyAlpha=e.premultiplyAlpha,t.flipY=e.flipY,t.unpackAlignment=e.unpackAlignment,t.colorSpace=e.colorSpace,t.width=e.width,t.height=e.height,t.channels=e.channels}function u(t,e){if("object"==typeof e&&e){"premultiplyAlpha"in e&&(t.premultiplyAlpha=e.premultiplyAlpha),"flipY"in e&&(t.flipY=e.flipY),"alignment"in e&&(t.unpackAlignment=e.alignment),"colorSpace"in e&&(t.colorSpace=q[e.colorSpace]),"type"in e&&(t.type=H[e.type]);var r=t.width,n=t.height,i=t.channels,a=!1;"shape"in e?(r=e.shape[0],n=e.shape[1],3===e.shape.length&&(i=e.shape[2],a=!0)):("radius"in e&&(r=n=e.radius),"width"in e&&(r=e.width),"height"in e&&(n=e.height),"channels"in e&&(i=e.channels,a=!0)),t.width=0|r,t.height=0|n,t.channels=0|i,r=!1,"format"in e&&(r=e.format,n=t.internalformat=G[r],t.format=at[n],r in H&&!("type"in e)&&(t.type=H[r]),r in W&&(t.compressed=!0),r=!0),!a&&r?t.channels=lt[t.format]:a&&!r&&t.channels!==st[t.format]&&(t.format=t.internalformat=st[t.channels])}}function h(e){t.pixelStorei(37440,e.flipY),t.pixelStorei(37441,e.premultiplyAlpha),t.pixelStorei(37443,e.colorSpace),t.pixelStorei(3317,e.unpackAlignment)}function f(){s.call(this),this.yOffset=this.xOffset=0,this.data=null,this.needsFree=!1,this.element=null,this.needsCopy=!1}function p(t,e){var r=null;if(_(e)?r=e:e&&(u(t,e),"x"in e&&(t.xOffset=0|e.x),"y"in e&&(t.yOffset=0|e.y),_(e.data)&&(r=e.data)),e.copy){var n=i.viewportWidth,a=i.viewportHeight;t.width=t.width||n-t.xOffset,t.height=t.height||a-t.yOffset,t.needsCopy=!0}else if(r){if(Z(r))t.channels=t.channels||4,t.data=r,"type"in e||5121!==t.type||(t.type=0|K[Object.prototype.toString.call(r)]);else if(y(r)){switch(t.channels=t.channels||4,a=(n=r).length,t.type){case 5121:case 5123:case 5125:case 5126:(a=Y.allocType(t.type,a)).set(n),t.data=a;break;case 36193:t.data=g(n)}t.alignment=1,t.needsFree=!0}else if(l(r)){n=r.data,Array.isArray(n)||5121!==t.type||(t.type=0|K[Object.prototype.toString.call(n)]);a=r.shape;var o,s,c,h,f=r.stride;3===a.length?(c=a[2],h=f[2]):h=c=1,o=a[0],s=a[1],a=f[0],f=f[1],t.alignment=1,t.width=o,t.height=s,t.channels=c,t.format=t.internalformat=st[c],t.needsFree=!0,o=h,r=r.offset,c=t.width,h=t.height,s=t.channels;for(var p=Y.allocType(36193===t.type?5126:t.type,c*h*s),d=0,v=0;v<h;++v)for(var T=0;T<c;++T)for(var k=0;k<s;++k)p[d++]=n[a*T+f*v+o*k+r];w(t,p)}else if(b(r)===ct||b(r)===ut||b(r)===ht)b(r)===ct||b(r)===ut?t.element=r:t.element=r.canvas,t.width=t.element.width,t.height=t.element.height,t.channels=4;else if(b(r)===ft)t.element=r,t.width=r.width,t.height=r.height,t.channels=4;else if(b(r)===pt)t.element=r,t.width=r.naturalWidth,t.height=r.naturalHeight,t.channels=4;else if(b(r)===dt)t.element=r,t.width=r.videoWidth,t.height=r.videoHeight,t.channels=4;else if(x(r)){for(n=t.width||r[0].length,a=t.height||r.length,f=t.channels,f=m(r[0][0])?f||r[0][0].length:f||1,o=J.shape(r),c=1,h=0;h<o.length;++h)c*=o[h];c=Y.allocType(36193===t.type?5126:t.type,c),J.flatten(r,o,"",c),w(t,c),t.alignment=1,t.width=n,t.height=a,t.channels=f,t.format=t.internalformat=st[f],t.needsFree=!0}}else t.width=t.width||1,t.height=t.height||1,t.channels=t.channels||4}function d(e,r,i,a,o){var s=e.element,l=e.data,c=e.internalformat,u=e.format,f=e.type,p=e.width,d=e.height;h(e),s?t.texSubImage2D(r,o,i,a,u,f,s):e.compressed?t.compressedTexSubImage2D(r,o,i,a,c,p,d,l):e.needsCopy?(n(),t.copyTexSubImage2D(r,o,i,a,e.xOffset,e.yOffset,p,d)):t.texSubImage2D(r,o,i,a,p,d,u,f,l)}function v(){return gt.pop()||new f}function k(t){t.needsFree&&Y.freeType(t.data),f.call(t),gt.push(t)}function M(){s.call(this),this.genMipmaps=!1,this.mipmapHint=4352,this.mipmask=0,this.images=Array(16)}function A(t,e,r){var n=t.images[0]=v();t.mipmask=1,n.width=t.width=e,n.height=t.height=r,n.channels=t.channels=4}function S(t,e){var r=null;if(_(e))c(r=t.images[0]=v(),t),p(r,e),t.mipmask=1;else if(u(t,e),Array.isArray(e.mipmap))for(var n=e.mipmap,i=0;i<n.length;++i)c(r=t.images[i]=v(),t),r.width>>=i,r.height>>=i,p(r,n[i]),t.mipmask|=1<<i;else c(r=t.images[0]=v(),t),p(r,e),t.mipmask=1;c(t,t.images[0])}function E(e,r){for(var i=e.images,a=0;a<i.length&&i[a];++a){var o=i[a],s=r,l=a,c=o.element,u=o.data,f=o.internalformat,p=o.format,d=o.type,g=o.width,m=o.height;h(o),c?t.texImage2D(s,l,p,p,d,c):o.compressed?t.compressedTexImage2D(s,l,f,g,m,0,u):o.needsCopy?(n(),t.copyTexImage2D(s,l,p,o.xOffset,o.yOffset,g,m,0)):t.texImage2D(s,l,p,g,m,0,p,d,u||null)}}function C(){var t=mt.pop()||new M;s.call(t);for(var e=t.mipmask=0;16>e;++e)t.images[e]=null;return t}function L(t){for(var e=t.images,r=0;r<e.length;++r)e[r]&&k(e[r]),e[r]=null;mt.push(t)}function P(){this.magFilter=this.minFilter=9728,this.wrapT=this.wrapS=33071,this.anisotropic=1,this.genMipmaps=!1,this.mipmapHint=4352}function I(t,e){"min"in e&&(t.minFilter=V[e.min],0<=ot.indexOf(t.minFilter)&&!("faces"in e)&&(t.genMipmaps=!0)),"mag"in e&&(t.magFilter=j[e.mag]);var r=t.wrapS,n=t.wrapT;if("wrap"in e){var i=e.wrap;"string"==typeof i?r=n=N[i]:Array.isArray(i)&&(r=N[i[0]],n=N[i[1]])}else"wrapS"in e&&(r=N[e.wrapS]),"wrapT"in e&&(n=N[e.wrapT]);if(t.wrapS=r,t.wrapT=n,"anisotropic"in e&&(t.anisotropic=e.anisotropic),"mipmap"in e){switch(r=!1,typeof e.mipmap){case"string":t.mipmapHint=B[e.mipmap],r=t.genMipmaps=!0;break;case"boolean":r=t.genMipmaps=e.mipmap;break;case"object":t.genMipmaps=!1,r=!0}!r||"min"in e||(t.minFilter=9984)}}function z(r,n){t.texParameteri(n,10241,r.minFilter),t.texParameteri(n,10240,r.magFilter),t.texParameteri(n,10242,r.wrapS),t.texParameteri(n,10243,r.wrapT),e.ext_texture_filter_anisotropic&&t.texParameteri(n,34046,r.anisotropic),r.genMipmaps&&(t.hint(33170,r.mipmapHint),t.generateMipmap(n))}function O(e){s.call(this),this.mipmask=0,this.internalformat=6408,this.id=vt++,this.refCount=1,this.target=e,this.texture=t.createTexture(),this.unit=-1,this.bindCount=0,this.texInfo=new P,o.profile&&(this.stats={size:0})}function D(e){t.activeTexture(33984),t.bindTexture(e.target,e.texture)}function R(){var e=bt[0];e?t.bindTexture(e.target,e.texture):t.bindTexture(3553,null)}function F(e){var r=e.texture,n=e.unit,i=e.target;0<=n&&(t.activeTexture(33984+n),t.bindTexture(i,null),bt[n]=null),t.deleteTexture(r),e.texture=null,e.params=null,e.pixels=null,e.refCount=0,delete yt[e.id],a.textureCount--}var B={"don't care":4352,"dont care":4352,nice:4354,fast:4353},N={repeat:10497,clamp:33071,mirror:33648},j={nearest:9728,linear:9729},V=U({mipmap:9987,"nearest mipmap nearest":9984,"linear mipmap nearest":9985,"nearest mipmap linear":9986,"linear mipmap linear":9987},j),q={none:0,browser:37444},H={uint8:5121,rgba4:32819,rgb565:33635,"rgb5 a1":32820},G={alpha:6406,luminance:6409,"luminance alpha":6410,rgb:6407,rgba:6408,rgba4:32854,"rgb5 a1":32855,rgb565:36194},W={};e.ext_srgb&&(G.srgb=35904,G.srgba=35906),e.oes_texture_float&&(H.float32=H.float=5126),e.oes_texture_half_float&&(H.float16=H["half float"]=36193),e.webgl_depth_texture&&(U(G,{depth:6402,"depth stencil":34041}),U(H,{uint16:5123,uint32:5125,"depth stencil":34042})),e.webgl_compressed_texture_s3tc&&U(W,{"rgb s3tc dxt1":33776,"rgba s3tc dxt1":33777,"rgba s3tc dxt3":33778,"rgba s3tc dxt5":33779}),e.webgl_compressed_texture_atc&&U(W,{"rgb atc":35986,"rgba atc explicit alpha":35987,"rgba atc interpolated alpha":34798}),e.webgl_compressed_texture_pvrtc&&U(W,{"rgb pvrtc 4bppv1":35840,"rgb pvrtc 2bppv1":35841,"rgba pvrtc 4bppv1":35842,"rgba pvrtc 2bppv1":35843}),e.webgl_compressed_texture_etc1&&(W["rgb etc1"]=36196);var Q=Array.prototype.slice.call(t.getParameter(34467));Object.keys(W).forEach((function(t){var e=W[t];0<=Q.indexOf(e)&&(G[t]=e)}));var $=Object.keys(G);r.textureFormats=$;var tt=[];Object.keys(G).forEach((function(t){tt[G[t]]=t}));var et=[];Object.keys(H).forEach((function(t){et[H[t]]=t}));var rt=[];Object.keys(j).forEach((function(t){rt[j[t]]=t}));var nt=[];Object.keys(V).forEach((function(t){nt[V[t]]=t}));var it=[];Object.keys(N).forEach((function(t){it[N[t]]=t}));var at=$.reduce((function(t,r){var n=G[r];return 6409===n||6406===n||6409===n||6410===n||6402===n||34041===n||e.ext_srgb&&(35904===n||35906===n)?t[n]=n:32855===n||0<=r.indexOf("rgba")?t[n]=6408:t[n]=6407,t}),{}),gt=[],mt=[],vt=0,yt={},xt=r.maxTextureUnits,bt=Array(xt).map((function(){return null}));return U(O.prototype,{bind:function(){this.bindCount+=1;var e=this.unit;if(0>e){for(var r=0;r<xt;++r){var n=bt[r];if(n){if(0<n.bindCount)continue;n.unit=-1}bt[r]=this,e=r;break}o.profile&&a.maxTextureUnits<e+1&&(a.maxTextureUnits=e+1),this.unit=e,t.activeTexture(33984+e),t.bindTexture(this.target,this.texture)}return e},unbind:function(){--this.bindCount},decRef:function(){0>=--this.refCount&&F(this)}}),o.profile&&(a.getTotalTextureSize=function(){var t=0;return Object.keys(yt).forEach((function(e){t+=yt[e].stats.size})),t}),{create2D:function(e,r){function n(t,e){var r=i.texInfo;P.call(r);var a=C();return"number"==typeof t?A(a,0|t,"number"==typeof e?0|e:0|t):t?(I(r,t),S(a,t)):A(a,1,1),r.genMipmaps&&(a.mipmask=(a.width<<1)-1),i.mipmask=a.mipmask,c(i,a),i.internalformat=a.internalformat,n.width=a.width,n.height=a.height,D(i),E(a,3553),z(r,3553),R(),L(a),o.profile&&(i.stats.size=T(i.internalformat,i.type,a.width,a.height,r.genMipmaps,!1)),n.format=tt[i.internalformat],n.type=et[i.type],n.mag=rt[r.magFilter],n.min=nt[r.minFilter],n.wrapS=it[r.wrapS],n.wrapT=it[r.wrapT],n}var i=new O(3553);return yt[i.id]=i,a.textureCount++,n(e,r),n.subimage=function(t,e,r,a){e|=0,r|=0,a|=0;var o=v();return c(o,i),o.width=0,o.height=0,p(o,t),o.width=o.width||(i.width>>a)-e,o.height=o.height||(i.height>>a)-r,D(i),d(o,3553,e,r,a),R(),k(o),n},n.resize=function(e,r){var a=0|e,s=0|r||a;if(a===i.width&&s===i.height)return n;n.width=i.width=a,n.height=i.height=s,D(i);for(var l=0;i.mipmask>>l;++l){var c=a>>l,u=s>>l;if(!c||!u)break;t.texImage2D(3553,l,i.format,c,u,0,i.format,i.type,null)}return R(),o.profile&&(i.stats.size=T(i.internalformat,i.type,a,s,!1,!1)),n},n._reglType="texture2d",n._texture=i,o.profile&&(n.stats=i.stats),n.destroy=function(){i.decRef()},n},createCube:function(e,r,n,i,s,l){function h(t,e,r,n,i,a){var s,l=f.texInfo;for(P.call(l),s=0;6>s;++s)g[s]=C();if("number"!=typeof t&&t){if("object"==typeof t)if(e)S(g[0],t),S(g[1],e),S(g[2],r),S(g[3],n),S(g[4],i),S(g[5],a);else if(I(l,t),u(f,t),"faces"in t)for(t=t.faces,s=0;6>s;++s)c(g[s],f),S(g[s],t[s]);else for(s=0;6>s;++s)S(g[s],t)}else for(t=0|t||1,s=0;6>s;++s)A(g[s],t,t);for(c(f,g[0]),f.mipmask=l.genMipmaps?(g[0].width<<1)-1:g[0].mipmask,f.internalformat=g[0].internalformat,h.width=g[0].width,h.height=g[0].height,D(f),s=0;6>s;++s)E(g[s],34069+s);for(z(l,34067),R(),o.profile&&(f.stats.size=T(f.internalformat,f.type,h.width,h.height,l.genMipmaps,!0)),h.format=tt[f.internalformat],h.type=et[f.type],h.mag=rt[l.magFilter],h.min=nt[l.minFilter],h.wrapS=it[l.wrapS],h.wrapT=it[l.wrapT],s=0;6>s;++s)L(g[s]);return h}var f=new O(34067);yt[f.id]=f,a.cubeCount++;var g=Array(6);return h(e,r,n,i,s,l),h.subimage=function(t,e,r,n,i){r|=0,n|=0,i|=0;var a=v();return c(a,f),a.width=0,a.height=0,p(a,e),a.width=a.width||(f.width>>i)-r,a.height=a.height||(f.height>>i)-n,D(f),d(a,34069+t,r,n,i),R(),k(a),h},h.resize=function(e){if((e|=0)!==f.width){h.width=f.width=e,h.height=f.height=e,D(f);for(var r=0;6>r;++r)for(var n=0;f.mipmask>>n;++n)t.texImage2D(34069+r,n,f.format,e>>n,e>>n,0,f.format,f.type,null);return R(),o.profile&&(f.stats.size=T(f.internalformat,f.type,h.width,h.height,!1,!0)),h}},h._reglType="textureCube",h._texture=f,o.profile&&(h.stats=f.stats),h.destroy=function(){f.decRef()},h},clear:function(){for(var e=0;e<xt;++e)t.activeTexture(33984+e),t.bindTexture(3553,null),bt[e]=null;X(yt).forEach(F),a.cubeCount=0,a.textureCount=0},getTexture:function(t){return null},restore:function(){for(var e=0;e<xt;++e){var r=bt[e];r&&(r.bindCount=0,r.unit=-1,bt[e]=null)}X(yt).forEach((function(e){e.texture=t.createTexture(),t.bindTexture(e.target,e.texture);for(var r=0;32>r;++r)if(0!=(e.mipmask&1<<r))if(3553===e.target)t.texImage2D(3553,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);else for(var n=0;6>n;++n)t.texImage2D(34069+n,r,e.internalformat,e.width>>r,e.height>>r,0,e.internalformat,e.type,null);z(e.texInfo,e.target)}))}}}function M(t,e,r,n,i,a){function o(t,e,r){this.target=t,this.texture=e,this.renderbuffer=r;var n=t=0;e?(t=e.width,n=e.height):r&&(t=r.width,n=r.height),this.width=t,this.height=n}function s(t){t&&(t.texture&&t.texture._texture.decRef(),t.renderbuffer&&t.renderbuffer._renderbuffer.decRef())}function l(t,e,r){t&&(t.texture?t.texture._texture.refCount+=1:t.renderbuffer._renderbuffer.refCount+=1)}function c(e,r){r&&(r.texture?t.framebufferTexture2D(36160,e,r.target,r.texture._texture.texture,0):t.framebufferRenderbuffer(36160,e,36161,r.renderbuffer._renderbuffer.renderbuffer))}function u(t){var e=3553,r=null,n=null,i=t;return"object"==typeof t&&(i=t.data,"target"in t&&(e=0|t.target)),"texture2d"===(t=i._reglType)||"textureCube"===t?r=i:"renderbuffer"===t&&(n=i,e=36161),new o(e,r,n)}function h(t,e,r,a,s){return r?((t=n.create2D({width:t,height:e,format:a,type:s}))._texture.refCount=0,new o(3553,t,null)):((t=i.create({width:t,height:e,format:a}))._renderbuffer.refCount=0,new o(36161,null,t))}function f(t){return t&&(t.texture||t.renderbuffer)}function p(t,e,r){t&&(t.texture?t.texture.resize(e,r):t.renderbuffer&&t.renderbuffer.resize(e,r),t.width=e,t.height=r)}function d(){this.id=T++,k[this.id]=this,this.framebuffer=t.createFramebuffer(),this.height=this.width=0,this.colorAttachments=[],this.depthStencilAttachment=this.stencilAttachment=this.depthAttachment=null}function g(t){t.colorAttachments.forEach(s),s(t.depthAttachment),s(t.stencilAttachment),s(t.depthStencilAttachment)}function m(e){t.deleteFramebuffer(e.framebuffer),e.framebuffer=null,a.framebufferCount--,delete k[e.id]}function v(e){var n;t.bindFramebuffer(36160,e.framebuffer);var i=e.colorAttachments;for(n=0;n<i.length;++n)c(36064+n,i[n]);for(n=i.length;n<r.maxColorAttachments;++n)t.framebufferTexture2D(36160,36064+n,3553,null,0);t.framebufferTexture2D(36160,33306,3553,null,0),t.framebufferTexture2D(36160,36096,3553,null,0),t.framebufferTexture2D(36160,36128,3553,null,0),c(36096,e.depthAttachment),c(36128,e.stencilAttachment),c(33306,e.depthStencilAttachment),t.checkFramebufferStatus(36160),t.isContextLost(),t.bindFramebuffer(36160,x.next?x.next.framebuffer:null),x.cur=x.next,t.getError()}function y(t,e){function r(t,e){var i,a=0,o=0,s=!0,c=!0;i=null;var p=!0,d="rgba",m="uint8",y=1,x=null,w=null,T=null,k=!1;"number"==typeof t?(a=0|t,o=0|e||a):t?("shape"in t?(a=(o=t.shape)[0],o=o[1]):("radius"in t&&(a=o=t.radius),"width"in t&&(a=t.width),"height"in t&&(o=t.height)),("color"in t||"colors"in t)&&(i=t.color||t.colors,Array.isArray(i)),i||("colorCount"in t&&(y=0|t.colorCount),"colorTexture"in t&&(p=!!t.colorTexture,d="rgba4"),"colorType"in t&&(m=t.colorType,!p)&&("half float"===m||"float16"===m?d="rgba16f":"float"!==m&&"float32"!==m||(d="rgba32f")),"colorFormat"in t&&(d=t.colorFormat,0<=b.indexOf(d)?p=!0:0<=_.indexOf(d)&&(p=!1))),("depthTexture"in t||"depthStencilTexture"in t)&&(k=!(!t.depthTexture&&!t.depthStencilTexture)),"depth"in t&&("boolean"==typeof t.depth?s=t.depth:(x=t.depth,c=!1)),"stencil"in t&&("boolean"==typeof t.stencil?c=t.stencil:(w=t.stencil,s=!1)),"depthStencil"in t&&("boolean"==typeof t.depthStencil?s=c=t.depthStencil:(T=t.depthStencil,c=s=!1))):a=o=1;var M=null,A=null,S=null,E=null;if(Array.isArray(i))M=i.map(u);else if(i)M=[u(i)];else for(M=Array(y),i=0;i<y;++i)M[i]=h(a,o,p,d,m);for(a=a||M[0].width,o=o||M[0].height,x?A=u(x):s&&!c&&(A=h(a,o,k,"depth","uint32")),w?S=u(w):c&&!s&&(S=h(a,o,!1,"stencil","uint8")),T?E=u(T):!x&&!w&&c&&s&&(E=h(a,o,k,"depth stencil","depth stencil")),s=null,i=0;i<M.length;++i)l(M[i]),M[i]&&M[i].texture&&(c=bt[M[i].texture._texture.format]*_t[M[i].texture._texture.type],null===s&&(s=c));return l(A),l(S),l(E),g(n),n.width=a,n.height=o,n.colorAttachments=M,n.depthAttachment=A,n.stencilAttachment=S,n.depthStencilAttachment=E,r.color=M.map(f),r.depth=f(A),r.stencil=f(S),r.depthStencil=f(E),r.width=n.width,r.height=n.height,v(n),r}var n=new d;return a.framebufferCount++,r(t,e),U(r,{resize:function(t,e){var i=Math.max(0|t,1),a=Math.max(0|e||i,1);if(i===n.width&&a===n.height)return r;for(var o=n.colorAttachments,s=0;s<o.length;++s)p(o[s],i,a);return p(n.depthAttachment,i,a),p(n.stencilAttachment,i,a),p(n.depthStencilAttachment,i,a),n.width=r.width=i,n.height=r.height=a,v(n),r},_reglType:"framebuffer",_framebuffer:n,destroy:function(){m(n),g(n)},use:function(t){x.setFBO({framebuffer:r},t)}})}var x={cur:null,next:null,dirty:!1,setFBO:null},b=["rgba"],_=["rgba4","rgb565","rgb5 a1"];e.ext_srgb&&_.push("srgba"),e.ext_color_buffer_half_float&&_.push("rgba16f","rgb16f"),e.webgl_color_buffer_float&&_.push("rgba32f");var w=["uint8"];e.oes_texture_half_float&&w.push("half float","float16"),e.oes_texture_float&&w.push("float","float32");var T=0,k={};return U(x,{getFramebuffer:function(t){return"function"==typeof t&&"framebuffer"===t._reglType&&(t=t._framebuffer)instanceof d?t:null},create:y,createCube:function(t){function e(t){var i,a={color:null},o=0,s=null;i="rgba";var l="uint8",c=1;if("number"==typeof t?o=0|t:t?("shape"in t?o=t.shape[0]:("radius"in t&&(o=0|t.radius),"width"in t?o=0|t.width:"height"in t&&(o=0|t.height)),("color"in t||"colors"in t)&&(s=t.color||t.colors,Array.isArray(s)),s||("colorCount"in t&&(c=0|t.colorCount),"colorType"in t&&(l=t.colorType),"colorFormat"in t&&(i=t.colorFormat)),"depth"in t&&(a.depth=t.depth),"stencil"in t&&(a.stencil=t.stencil),"depthStencil"in t&&(a.depthStencil=t.depthStencil)):o=1,s)if(Array.isArray(s))for(t=[],i=0;i<s.length;++i)t[i]=s[i];else t=[s];else for(t=Array(c),s={radius:o,format:i,type:l},i=0;i<c;++i)t[i]=n.createCube(s);for(a.color=Array(t.length),i=0;i<t.length;++i)c=t[i],o=o||c.width,a.color[i]={target:34069,data:t[i]};for(i=0;6>i;++i){for(c=0;c<t.length;++c)a.color[c].target=34069+i;0<i&&(a.depth=r[0].depth,a.stencil=r[0].stencil,a.depthStencil=r[0].depthStencil),r[i]?r[i](a):r[i]=y(a)}return U(e,{width:o,height:o,color:t})}var r=Array(6);return e(t),U(e,{faces:r,resize:function(t){var n=0|t;if(n===e.width)return e;var i=e.color;for(t=0;t<i.length;++t)i[t].resize(n);for(t=0;6>t;++t)r[t].resize(n);return e.width=e.height=n,e},_reglType:"framebufferCube",destroy:function(){r.forEach((function(t){t.destroy()}))}})},clear:function(){X(k).forEach(m)},restore:function(){x.cur=null,x.next=null,x.dirty=!0,X(k).forEach((function(e){e.framebuffer=t.createFramebuffer(),v(e)}))}})}function A(){this.w=this.z=this.y=this.x=this.state=0,this.buffer=null,this.size=0,this.normalized=!1,this.type=5126,this.divisor=this.stride=this.offset=0}function S(t,e,r,n,i){function a(){this.id=++c,this.attributes=[];var t=e.oes_vertex_array_object;this.vao=t?t.createVertexArrayOES():null,u[this.id]=this,this.buffers=[]}var o=r.maxAttributes,s=Array(o);for(r=0;r<o;++r)s[r]=new A;var c=0,u={},h={Record:A,scope:{},state:s,currentVAO:null,targetVAO:null,restore:e.oes_vertex_array_object?function(){e.oes_vertex_array_object&&X(u).forEach((function(t){t.refresh()}))}:function(){},createVAO:function(t){function e(t){for(var n=0;n<r.buffers.length;++n)r.buffers[n].destroy();r.buffers.length=0,(n=r.attributes).length=t.length;for(var a=0;a<t.length;++a){var o=t[a],s=n[a]=new A;Array.isArray(o)||Z(o)||l(o)?(o=i.create(o,34962,!1,!0),s.buffer=i.getBuffer(o),s.size=0|s.buffer.dimension,s.normalized=!1,s.type=s.buffer.dtype,s.offset=0,s.stride=0,s.divisor=0,s.state=1,r.buffers.push(o)):i.getBuffer(o)?(s.buffer=i.getBuffer(o),s.size=0|s.buffer.dimension,s.normalized=!1,s.type=s.buffer.dtype,s.offset=0,s.stride=0,s.divisor=0,s.state=1):i.getBuffer(o.buffer)?(s.buffer=i.getBuffer(o.buffer),s.size=0|(+o.size||s.buffer.dimension),s.normalized=!!o.normalized||!1,s.type="type"in o?Q[o.type]:s.buffer.dtype,s.offset=0|(o.offset||0),s.stride=0|(o.stride||0),s.divisor=0|(o.divisor||0),s.state=1):"x"in o&&(s.x=+o.x||0,s.y=+o.y||0,s.z=+o.z||0,s.w=+o.w||0,s.state=2)}return r.refresh(),e}var r=new a;return n.vaoCount+=1,e.destroy=function(){r.destroy()},e._vao=r,e._reglType="vao",e(t)},getVAO:function(t){return"function"==typeof t&&t._vao?t._vao:null},destroyBuffer:function(e){for(var r=0;r<s.length;++r){var n=s[r];n.buffer===e&&(t.disableVertexAttribArray(r),n.buffer=null)}},setVAO:e.oes_vertex_array_object?function(t){if(t!==h.currentVAO){var r=e.oes_vertex_array_object;t?r.bindVertexArrayOES(t.vao):r.bindVertexArrayOES(null),h.currentVAO=t}}:function(r){if(r!==h.currentVAO){if(r)r.bindAttrs();else for(var n=e.angle_instanced_arrays,i=0;i<s.length;++i){var a=s[i];a.buffer?(t.enableVertexAttribArray(i),t.vertexAttribPointer(i,a.size,a.type,a.normalized,a.stride,a.offfset),n&&n.vertexAttribDivisorANGLE(i,a.divisor)):(t.disableVertexAttribArray(i),t.vertexAttrib4f(i,a.x,a.y,a.z,a.w))}h.currentVAO=r}},clear:e.oes_vertex_array_object?function(){X(u).forEach((function(t){t.destroy()}))}:function(){}};return a.prototype.bindAttrs=function(){for(var r=e.angle_instanced_arrays,n=this.attributes,i=0;i<n.length;++i){var a=n[i];a.buffer?(t.enableVertexAttribArray(i),t.bindBuffer(34962,a.buffer.buffer),t.vertexAttribPointer(i,a.size,a.type,a.normalized,a.stride,a.offset),r&&r.vertexAttribDivisorANGLE(i,a.divisor)):(t.disableVertexAttribArray(i),t.vertexAttrib4f(i,a.x,a.y,a.z,a.w))}for(r=n.length;r<o;++r)t.disableVertexAttribArray(r)},a.prototype.refresh=function(){var t=e.oes_vertex_array_object;t&&(t.bindVertexArrayOES(this.vao),this.bindAttrs(),h.currentVAO=this)},a.prototype.destroy=function(){if(this.vao){var t=e.oes_vertex_array_object;this===h.currentVAO&&(h.currentVAO=null,t.bindVertexArrayOES(null)),t.deleteVertexArrayOES(this.vao),this.vao=null}u[this.id]&&(delete u[this.id],--n.vaoCount)},h}function E(t,e,r,n){function i(t,e,r,n){this.name=t,this.id=e,this.location=r,this.info=n}function a(t,e){for(var r=0;r<t.length;++r)if(t[r].id===e.id)return void(t[r].location=e.location);t.push(e)}function o(r,n,i){if(!(o=(i=35632===r?c:u)[n])){var a=e.str(n),o=t.createShader(r);t.shaderSource(o,a),t.compileShader(o),i[n]=o}return o}function s(t,e){this.id=p++,this.fragId=t,this.vertId=e,this.program=null,this.uniforms=[],this.attributes=[],n.profile&&(this.stats={uniformsCount:0,attributesCount:0})}function l(r,s,l){var c;c=o(35632,r.fragId);var u=o(35633,r.vertId);if(s=r.program=t.createProgram(),t.attachShader(s,c),t.attachShader(s,u),l)for(c=0;c<l.length;++c)u=l[c],t.bindAttribLocation(s,u[0],u[1]);t.linkProgram(s),u=t.getProgramParameter(s,35718),n.profile&&(r.stats.uniformsCount=u);var h=r.uniforms;for(c=0;c<u;++c)if(l=t.getActiveUniform(s,c))if(1<l.size)for(var f=0;f<l.size;++f){var p=l.name.replace("[0]","["+f+"]");a(h,new i(p,e.id(p),t.getUniformLocation(s,p),l))}else a(h,new i(l.name,e.id(l.name),t.getUniformLocation(s,l.name),l));for(u=t.getProgramParameter(s,35721),n.profile&&(r.stats.attributesCount=u),r=r.attributes,c=0;c<u;++c)(l=t.getActiveAttrib(s,c))&&a(r,new i(l.name,e.id(l.name),t.getAttribLocation(s,l.name),l))}var c={},u={},h={},f=[],p=0;return n.profile&&(r.getMaxUniformsCount=function(){var t=0;return f.forEach((function(e){e.stats.uniformsCount>t&&(t=e.stats.uniformsCount)})),t},r.getMaxAttributesCount=function(){var t=0;return f.forEach((function(e){e.stats.attributesCount>t&&(t=e.stats.attributesCount)})),t}),{clear:function(){var e=t.deleteShader.bind(t);X(c).forEach(e),c={},X(u).forEach(e),u={},f.forEach((function(e){t.deleteProgram(e.program)})),f.length=0,h={},r.shaderCount=0},program:function(t,e,n,i){var a=h[e];a||(a=h[e]={});var o=a[t];return o&&!i?o:(e=new s(e,t),r.shaderCount++,l(e,n,i),o||(a[t]=e),f.push(e),e)},restore:function(){c={},u={};for(var t=0;t<f.length;++t)l(f[t],null,f[t].attributes.map((function(t){return[t.location,t.name]})))},shader:o,frag:-1,vert:-1}}function C(t,e,r,n,i,a,o){function s(i){var a;a=null===e.next?5121:e.next.colorAttachments[0].texture._texture.type;var o=0,s=0,l=n.framebufferWidth,c=n.framebufferHeight,u=null;return Z(i)?u=i:i&&(o=0|i.x,s=0|i.y,l=0|(i.width||n.framebufferWidth-o),c=0|(i.height||n.framebufferHeight-s),u=i.data||null),r(),i=l*c*4,u||(5121===a?u=new Uint8Array(i):5126===a&&(u=u||new Float32Array(i))),t.pixelStorei(3333,4),t.readPixels(o,s,l,c,6408,a,u),u}return function(t){return t&&"framebuffer"in t?function(t){var r;return e.setFBO({framebuffer:t.framebuffer},(function(){r=s(t)})),r}(t):s(t)}}function L(t){return Array.prototype.slice.call(t)}function P(t){return L(t).join("")}function I(){function t(){var t=[],e=[];return U((function(){t.push.apply(t,L(arguments))}),{def:function(){var n="v"+r++;return e.push(n),0<arguments.length&&(t.push(n,"="),t.push.apply(t,L(arguments)),t.push(";")),n},toString:function(){return P([0<e.length?"var "+e.join(",")+";":"",P(t)])}})}function e(){function e(t,e){n(t,e,"=",r.def(t,e),";")}var r=t(),n=t(),i=r.toString,a=n.toString;return U((function(){r.apply(r,L(arguments))}),{def:r.def,entry:r,exit:n,save:e,set:function(t,n,i){e(t,n),r(t,n,"=",i,";")},toString:function(){return i()+a()}})}var r=0,n=[],i=[],a=t(),o={};return{global:a,link:function(t){for(var e=0;e<i.length;++e)if(i[e]===t)return n[e];return e="g"+r++,n.push(e),i.push(t),e},block:t,proc:function(t,r){function n(){var t="a"+i.length;return i.push(t),t}var i=[];r=r||0;for(var a=0;a<r;++a)n();var s=(a=e()).toString;return o[t]=U(a,{arg:n,toString:function(){return P(["function(",i.join(),"){",s(),"}"])}})},scope:e,cond:function(){var t=P(arguments),r=e(),n=e(),i=r.toString,a=n.toString;return U(r,{then:function(){return r.apply(r,L(arguments)),this},else:function(){return n.apply(n,L(arguments)),this},toString:function(){var e=a();return e&&(e="else{"+e+"}"),P(["if(",t,"){",i(),"}",e])}})},compile:function(){var t=['"use strict";',a,"return {"];Object.keys(o).forEach((function(e){t.push('"',e,'":',o[e].toString(),",")})),t.push("}");var e=P(t).replace(/;/g,";\n").replace(/}/g,"}\n").replace(/{/g,"{\n");return Function.apply(null,n.concat(e)).apply(null,i)}}}function z(t){return Array.isArray(t)||Z(t)||l(t)}function O(t){return t.sort((function(t,e){return"viewport"===t?-1:"viewport"===e?1:t<e?-1:1}))}function D(t,e,r,n){this.thisDep=t,this.contextDep=e,this.propDep=r,this.append=n}function R(t){return t&&!(t.thisDep||t.contextDep||t.propDep)}function F(t){return new D(!1,!1,!1,t)}function B(t,e){var r=t.type;return 0===r?new D(!0,1<=(r=t.data.length),2<=r,e):4===r?new D((r=t.data).thisDep,r.contextDep,r.propDep,e):new D(3===r,2===r,1===r,e)}function N(t,e,r,n,i,o,s,l,c,u,h,f,p,d,g){function v(t){return t.replace(".","_")}function y(t,e,r){var n=v(t);rt.push(t),et[n]=tt[n]=!!r,it[n]=e}function x(t,e,r){var n=v(t);rt.push(t),Array.isArray(r)?(tt[n]=r.slice(),et[n]=r.slice()):tt[n]=et[n]=r,at[n]=e}function b(){var t=I(),r=t.link,n=t.global;t.id=lt++,t.batchId="0";var i=r(ot),a=t.shared={props:"a0"};Object.keys(ot).forEach((function(t){a[t]=n.def(i,".",t)}));var o=t.next={},s=t.current={};Object.keys(at).forEach((function(t){Array.isArray(tt[t])&&(o[t]=n.def(a.next,".",t),s[t]=n.def(a.current,".",t))}));var l=t.constants={};Object.keys(st).forEach((function(t){l[t]=n.def(JSON.stringify(st[t]))})),t.invoke=function(e,n){switch(n.type){case 0:var i=["this",a.context,a.props,t.batchId];return e.def(r(n.data),".call(",i.slice(0,Math.max(n.data.length+1,4)),")");case 1:return e.def(a.props,n.data);case 2:return e.def(a.context,n.data);case 3:return e.def("this",n.data);case 4:return n.data.append(t,e),n.data.ref}},t.attribCache={};var c={};return t.scopeAttrib=function(t){if((t=e.id(t))in c)return c[t];var n=u.scope[t];return n||(n=u.scope[t]=new X),c[t]=r(n)},t}function _(t,e){var r=t.static,n=t.dynamic;if("framebuffer"in r){var i=r.framebuffer;return i?(i=l.getFramebuffer(i),F((function(t,e){var r=t.link(i),n=t.shared;return e.set(n.framebuffer,".next",r),n=n.context,e.set(n,".framebufferWidth",r+".width"),e.set(n,".framebufferHeight",r+".height"),r}))):F((function(t,e){var r=t.shared;return e.set(r.framebuffer,".next","null"),r=r.context,e.set(r,".framebufferWidth",r+".drawingBufferWidth"),e.set(r,".framebufferHeight",r+".drawingBufferHeight"),"null"}))}if("framebuffer"in n){var a=n.framebuffer;return B(a,(function(t,e){var r=t.invoke(e,a),n=t.shared,i=n.framebuffer;r=e.def(i,".getFramebuffer(",r,")");return e.set(i,".next",r),n=n.context,e.set(n,".framebufferWidth",r+"?"+r+".width:"+n+".drawingBufferWidth"),e.set(n,".framebufferHeight",r+"?"+r+".height:"+n+".drawingBufferHeight"),r}))}return null}function w(t,r,n){function i(t){if(t in a){var r=e.id(a[t]);return(t=F((function(){return r}))).id=r,t}if(t in o){var n=o[t];return B(n,(function(t,e){var r=t.invoke(e,n);return e.def(t.shared.strings,".id(",r,")")}))}return null}var a=t.static,o=t.dynamic,s=i("frag"),l=i("vert"),c=null;return R(s)&&R(l)?(c=h.program(l.id,s.id,null,n),t=F((function(t,e){return t.link(c)}))):t=new D(s&&s.thisDep||l&&l.thisDep,s&&s.contextDep||l&&l.contextDep,s&&s.propDep||l&&l.propDep,(function(t,e){var r,n,i=t.shared.shader;return r=s?s.append(t,e):e.def(i,".","frag"),n=l?l.append(t,e):e.def(i,".","vert"),e.def(i+".program("+n+","+r+")")})),{frag:s,vert:l,progVar:t,program:c}}function T(t,e){function r(t,e){if(t in n){var r=0|n[t];return F((function(t,n){return e&&(t.OFFSET=r),r}))}if(t in i){var o=i[t];return B(o,(function(t,r){var n=t.invoke(r,o);return e&&(t.OFFSET=n),n}))}return e&&a?F((function(t,e){return t.OFFSET="0",0})):null}var n=t.static,i=t.dynamic,a=function(){if("elements"in n){var t=n.elements;z(t)?t=o.getElements(o.create(t,!0)):t&&(t=o.getElements(t));var e=F((function(e,r){if(t){var n=e.link(t);return e.ELEMENTS=n}return e.ELEMENTS=null}));return e.value=t,e}if("elements"in i){var r=i.elements;return B(r,(function(t,e){var n=(i=t.shared).isBufferArgs,i=i.elements,a=t.invoke(e,r),o=e.def("null");n=e.def(n,"(",a,")"),a=t.cond(n).then(o,"=",i,".createStream(",a,");").else(o,"=",i,".getElements(",a,");");return e.entry(a),e.exit(t.cond(n).then(i,".destroyStream(",o,");")),t.ELEMENTS=o}))}return null}(),s=r("offset",!0);return{elements:a,primitive:function(){if("primitive"in n){var t=n.primitive;return F((function(e,r){return nt[t]}))}if("primitive"in i){var e=i.primitive;return B(e,(function(t,r){var n=t.constants.primTypes,i=t.invoke(r,e);return r.def(n,"[",i,"]")}))}return a?R(a)?a.value?F((function(t,e){return e.def(t.ELEMENTS,".primType")})):F((function(){return 4})):new D(a.thisDep,a.contextDep,a.propDep,(function(t,e){var r=t.ELEMENTS;return e.def(r,"?",r,".primType:",4)})):null}(),count:function(){if("count"in n){var t=0|n.count;return F((function(){return t}))}if("count"in i){var e=i.count;return B(e,(function(t,r){return t.invoke(r,e)}))}return a?R(a)?a?s?new D(s.thisDep,s.contextDep,s.propDep,(function(t,e){return e.def(t.ELEMENTS,".vertCount-",t.OFFSET)})):F((function(t,e){return e.def(t.ELEMENTS,".vertCount")})):F((function(){return-1})):new D(a.thisDep||s.thisDep,a.contextDep||s.contextDep,a.propDep||s.propDep,(function(t,e){var r=t.ELEMENTS;return t.OFFSET?e.def(r,"?",r,".vertCount-",t.OFFSET,":-1"):e.def(r,"?",r,".vertCount:-1")})):null}(),instances:r("instances",!1),offset:s}}function k(t,r){var n=t.static,a=t.dynamic,o={};return Object.keys(n).forEach((function(t){var r=n[t],a=e.id(t),s=new X;if(z(r))s.state=1,s.buffer=i.getBuffer(i.create(r,34962,!1,!0)),s.type=0;else if(c=i.getBuffer(r))s.state=1,s.buffer=c,s.type=0;else if("constant"in r){var l=r.constant;s.buffer="null",s.state=2,"number"==typeof l?s.x=l:wt.forEach((function(t,e){e<l.length&&(s[t]=l[e])}))}else{var c=z(r.buffer)?i.getBuffer(i.create(r.buffer,34962,!1,!0)):i.getBuffer(r.buffer),u=0|r.offset,h=0|r.stride,f=0|r.size,p=!!r.normalized,d=0;"type"in r&&(d=Q[r.type]),r=0|r.divisor,s.buffer=c,s.state=1,s.size=f,s.normalized=p,s.type=d||c.dtype,s.offset=u,s.stride=h,s.divisor=r}o[t]=F((function(t,e){var r=t.attribCache;if(a in r)return r[a];var n={isStream:!1};return Object.keys(s).forEach((function(t){n[t]=s[t]})),s.buffer&&(n.buffer=t.link(s.buffer),n.type=n.type||n.buffer+".dtype"),r[a]=n}))})),Object.keys(a).forEach((function(t){var e=a[t];o[t]=B(e,(function(t,r){function n(t){r(l[t],"=",i,".",t,"|0;")}var i=t.invoke(r,e),a=t.shared,o=t.constants,s=a.isBufferArgs,l=(a=a.buffer,{isStream:r.def(!1)}),c=new X;c.state=1,Object.keys(c).forEach((function(t){l[t]=r.def(""+c[t])}));var u=l.buffer,h=l.type;return r("if(",s,"(",i,")){",l.isStream,"=true;",u,"=",a,".createStream(",34962,",",i,");",h,"=",u,".dtype;","}else{",u,"=",a,".getBuffer(",i,");","if(",u,"){",h,"=",u,".dtype;",'}else if("constant" in ',i,"){",l.state,"=",2,";","if(typeof "+i+'.constant === "number"){',l[wt[0]],"=",i,".constant;",wt.slice(1).map((function(t){return l[t]})).join("="),"=0;","}else{",wt.map((function(t,e){return l[t]+"="+i+".constant.length>"+e+"?"+i+".constant["+e+"]:0;"})).join(""),"}}else{","if(",s,"(",i,".buffer)){",u,"=",a,".createStream(",34962,",",i,".buffer);","}else{",u,"=",a,".getBuffer(",i,".buffer);","}",h,'="type" in ',i,"?",o.glTypes,"[",i,".type]:",u,".dtype;",l.normalized,"=!!",i,".normalized;"),n("size"),n("offset"),n("stride"),n("divisor"),r("}}"),r.exit("if(",l.isStream,"){",a,".destroyStream(",u,");","}"),l}))})),o}function M(t,e,n,i,o){function s(t){var e=c[t];e&&(f[t]=e)}var l=function(t,e){if("string"==typeof(r=t.static).frag&&"string"==typeof r.vert){if(0<Object.keys(e.dynamic).length)return null;var r=e.static,n=Object.keys(r);if(0<n.length&&"number"==typeof r[n[0]]){for(var i=[],a=0;a<n.length;++a)i.push([0|r[n[a]],n[a]]);return i}}return null}(t,e),c=function(t,e,r){function n(t){if(t in i){var r=i[t];t=!0;var n,o,s=0|r.x,l=0|r.y;return"width"in r?n=0|r.width:t=!1,"height"in r?o=0|r.height:t=!1,new D(!t&&e&&e.thisDep,!t&&e&&e.contextDep,!t&&e&&e.propDep,(function(t,e){var i=t.shared.context,a=n;"width"in r||(a=e.def(i,".","framebufferWidth","-",s));var c=o;return"height"in r||(c=e.def(i,".","framebufferHeight","-",l)),[s,l,a,c]}))}if(t in a){var c=a[t];return t=B(c,(function(t,e){var r=t.invoke(e,c),n=t.shared.context,i=e.def(r,".x|0"),a=e.def(r,".y|0");return[i,a,e.def('"width" in ',r,"?",r,".width|0:","(",n,".","framebufferWidth","-",i,")"),r=e.def('"height" in ',r,"?",r,".height|0:","(",n,".","framebufferHeight","-",a,")")]})),e&&(t.thisDep=t.thisDep||e.thisDep,t.contextDep=t.contextDep||e.contextDep,t.propDep=t.propDep||e.propDep),t}return e?new D(e.thisDep,e.contextDep,e.propDep,(function(t,e){var r=t.shared.context;return[0,0,e.def(r,".","framebufferWidth"),e.def(r,".","framebufferHeight")]})):null}var i=t.static,a=t.dynamic;if(t=n("viewport")){var o=t;t=new D(t.thisDep,t.contextDep,t.propDep,(function(t,e){var r=o.append(t,e),n=t.shared.context;return e.set(n,".viewportWidth",r[2]),e.set(n,".viewportHeight",r[3]),r}))}return{viewport:t,scissor_box:n("scissor.box")}}(t,d=_(t)),h=T(t),f=function(t,e){var r=t.static,n=t.dynamic,i={};return rt.forEach((function(t){function e(e,a){if(t in r){var s=e(r[t]);i[o]=F((function(){return s}))}else if(t in n){var l=n[t];i[o]=B(l,(function(t,e){return a(t,e,t.invoke(e,l))}))}}var o=v(t);switch(t){case"cull.enable":case"blend.enable":case"dither":case"stencil.enable":case"depth.enable":case"scissor.enable":case"polygonOffset.enable":case"sample.alpha":case"sample.enable":case"depth.mask":return e((function(t){return t}),(function(t,e,r){return r}));case"depth.func":return e((function(t){return Mt[t]}),(function(t,e,r){return e.def(t.constants.compareFuncs,"[",r,"]")}));case"depth.range":return e((function(t){return t}),(function(t,e,r){return[e.def("+",r,"[0]"),e=e.def("+",r,"[1]")]}));case"blend.func":return e((function(t){return[kt["srcRGB"in t?t.srcRGB:t.src],kt["dstRGB"in t?t.dstRGB:t.dst],kt["srcAlpha"in t?t.srcAlpha:t.src],kt["dstAlpha"in t?t.dstAlpha:t.dst]]}),(function(t,e,r){function n(t,n){return e.def('"',t,n,'" in ',r,"?",r,".",t,n,":",r,".",t)}t=t.constants.blendFuncs;var i=n("src","RGB"),a=n("dst","RGB"),o=(i=e.def(t,"[",i,"]"),e.def(t,"[",n("src","Alpha"),"]"));return[i,a=e.def(t,"[",a,"]"),o,t=e.def(t,"[",n("dst","Alpha"),"]")]}));case"blend.equation":return e((function(t){return"string"==typeof t?[J[t],J[t]]:"object"==typeof t?[J[t.rgb],J[t.alpha]]:void 0}),(function(t,e,r){var n=t.constants.blendEquations,i=e.def(),a=e.def();return(t=t.cond("typeof ",r,'==="string"')).then(i,"=",a,"=",n,"[",r,"];"),t.else(i,"=",n,"[",r,".rgb];",a,"=",n,"[",r,".alpha];"),e(t),[i,a]}));case"blend.color":return e((function(t){return a(4,(function(e){return+t[e]}))}),(function(t,e,r){return a(4,(function(t){return e.def("+",r,"[",t,"]")}))}));case"stencil.mask":return e((function(t){return 0|t}),(function(t,e,r){return e.def(r,"|0")}));case"stencil.func":return e((function(t){return[Mt[t.cmp||"keep"],t.ref||0,"mask"in t?t.mask:-1]}),(function(t,e,r){return[t=e.def('"cmp" in ',r,"?",t.constants.compareFuncs,"[",r,".cmp]",":",7680),e.def(r,".ref|0"),e=e.def('"mask" in ',r,"?",r,".mask|0:-1")]}));case"stencil.opFront":case"stencil.opBack":return e((function(e){return["stencil.opBack"===t?1029:1028,At[e.fail||"keep"],At[e.zfail||"keep"],At[e.zpass||"keep"]]}),(function(e,r,n){function i(t){return r.def('"',t,'" in ',n,"?",a,"[",n,".",t,"]:",7680)}var a=e.constants.stencilOps;return["stencil.opBack"===t?1029:1028,i("fail"),i("zfail"),i("zpass")]}));case"polygonOffset.offset":return e((function(t){return[0|t.factor,0|t.units]}),(function(t,e,r){return[e.def(r,".factor|0"),e=e.def(r,".units|0")]}));case"cull.face":return e((function(t){var e=0;return"front"===t?e=1028:"back"===t&&(e=1029),e}),(function(t,e,r){return e.def(r,'==="front"?',1028,":",1029)}));case"lineWidth":return e((function(t){return t}),(function(t,e,r){return r}));case"frontFace":return e((function(t){return St[t]}),(function(t,e,r){return e.def(r+'==="cw"?2304:2305')}));case"colorMask":return e((function(t){return t.map((function(t){return!!t}))}),(function(t,e,r){return a(4,(function(t){return"!!"+r+"["+t+"]"}))}));case"sample.coverage":return e((function(t){return["value"in t?t.value:1,!!t.invert]}),(function(t,e,r){return[e.def('"value" in ',r,"?+",r,".value:1"),e=e.def("!!",r,".invert")]}))}})),i}(t),p=w(t,0,l);s("viewport"),s(v("scissor.box"));var d,g=0<Object.keys(f).length;if((d={framebuffer:d,draw:h,shader:p,state:f,dirty:g,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}}).profile=function(t){var e,r=t.static;if(t=t.dynamic,"profile"in r){var n=!!r.profile;(e=F((function(t,e){return n}))).enable=n}else if("profile"in t){var i=t.profile;e=B(i,(function(t,e){return t.invoke(e,i)}))}return e}(t),d.uniforms=function(t,e){var r=t.static,n=t.dynamic,i={};return Object.keys(r).forEach((function(t){var e,n=r[t];if("number"==typeof n||"boolean"==typeof n)e=F((function(){return n}));else if("function"==typeof n){var o=n._reglType;"texture2d"===o||"textureCube"===o?e=F((function(t){return t.link(n)})):"framebuffer"!==o&&"framebufferCube"!==o||(e=F((function(t){return t.link(n.color[0])})))}else m(n)&&(e=F((function(t){return t.global.def("[",a(n.length,(function(t){return n[t]})),"]")})));e.value=n,i[t]=e})),Object.keys(n).forEach((function(t){var e=n[t];i[t]=B(e,(function(t,r){return t.invoke(r,e)}))})),i}(n),d.drawVAO=d.scopeVAO=function(t,e){var r=t.static,n=t.dynamic;if("vao"in r){var i=r.vao;return null!==i&&null===u.getVAO(i)&&(i=u.createVAO(i)),F((function(t){return t.link(u.getVAO(i))}))}if("vao"in n){var a=n.vao;return B(a,(function(t,e){var r=t.invoke(e,a);return e.def(t.shared.vao+".getVAO("+r+")")}))}return null}(t),!d.drawVAO&&p.program&&!l&&r.angle_instanced_arrays){var y=!0;if(t=p.program.attributes.map((function(t){return t=e.static[t],y=y&&!!t,t})),y&&0<t.length){var x=u.getVAO(u.createVAO(t));d.drawVAO=new D(null,null,null,(function(t,e){return t.link(x)})),d.useVAO=!0}}return l?d.useVAO=!0:d.attributes=k(e),d.context=function(t){var e=t.static,r=t.dynamic,n={};return Object.keys(e).forEach((function(t){var r=e[t];n[t]=F((function(t,e){return"number"==typeof r||"boolean"==typeof r?""+r:t.link(r)}))})),Object.keys(r).forEach((function(t){var e=r[t];n[t]=B(e,(function(t,r){return t.invoke(r,e)}))})),n}(i),d}function A(t,e,r){var n=t.shared.context,i=t.scope();Object.keys(r).forEach((function(a){e.save(n,"."+a),i(n,".",a,"=",r[a].append(t,e),";")})),e(i)}function S(t,e,r,n){var i,a=(s=t.shared).gl,o=s.framebuffer;$&&(i=e.def(s.extensions,".webgl_draw_buffers"));var s=(l=t.constants).drawBuffer,l=l.backBuffer;t=r?r.append(t,e):e.def(o,".next"),n||e("if(",t,"!==",o,".cur){"),e("if(",t,"){",a,".bindFramebuffer(",36160,",",t,".framebuffer);"),$&&e(i,".drawBuffersWEBGL(",s,"[",t,".colorAttachments.length]);"),e("}else{",a,".bindFramebuffer(",36160,",null);"),$&&e(i,".drawBuffersWEBGL(",l,");"),e("}",o,".cur=",t,";"),n||e("}")}function E(t,e,r){var n=t.shared,i=n.gl,o=t.current,s=t.next,l=n.current,c=n.next,u=t.cond(l,".dirty");rt.forEach((function(e){var n,h;if(!((e=v(e))in r.state))if(e in s){n=s[e],h=o[e];var f=a(tt[e].length,(function(t){return u.def(n,"[",t,"]")}));u(t.cond(f.map((function(t,e){return t+"!=="+h+"["+e+"]"})).join("||")).then(i,".",at[e],"(",f,");",f.map((function(t,e){return h+"["+e+"]="+t})).join(";"),";"))}else n=u.def(c,".",e),f=t.cond(n,"!==",l,".",e),u(f),e in it?f(t.cond(n).then(i,".enable(",it[e],");").else(i,".disable(",it[e],");"),l,".",e,"=",n,";"):f(i,".",at[e],"(",n,");",l,".",e,"=",n,";")})),0===Object.keys(r.state).length&&u(l,".dirty=false;"),e(u)}function C(t,e,r,n){var i=t.shared,a=t.current,o=i.current,s=i.gl;O(Object.keys(r)).forEach((function(i){var l=r[i];if(!n||n(l)){var c=l.append(t,e);if(it[i]){var u=it[i];R(l)?e(s,c?".enable(":".disable(",u,");"):e(t.cond(c).then(s,".enable(",u,");").else(s,".disable(",u,");")),e(o,".",i,"=",c,";")}else if(m(c)){var h=a[i];e(s,".",at[i],"(",c,");",c.map((function(t,e){return h+"["+e+"]="+t})).join(";"),";")}else e(s,".",at[i],"(",c,");",o,".",i,"=",c,";")}}))}function L(t,e){K&&(t.instancing=e.def(t.shared.extensions,".angle_instanced_arrays"))}function P(t,e,r,n,i){function a(){return"undefined"==typeof performance?"Date.now()":"performance.now()"}function o(t){t(c=e.def(),"=",a(),";"),"string"==typeof i?t(f,".count+=",i,";"):t(f,".count++;"),d&&(n?t(u=e.def(),"=",g,".getNumPendingQueries();"):t(g,".beginQuery(",f,");"))}function s(t){t(f,".cpuTime+=",a(),"-",c,";"),d&&(n?t(g,".pushScopeStats(",u,",",g,".getNumPendingQueries(),",f,");"):t(g,".endQuery();"))}function l(t){var r=e.def(p,".profile");e(p,".profile=",t,";"),e.exit(p,".profile=",r,";")}var c,u,h=t.shared,f=t.stats,p=h.current,g=h.timer;if(r=r.profile){if(R(r))return void(r.enable?(o(e),s(e.exit),l("true")):l("false"));l(r=r.append(t,e))}else r=e.def(p,".profile");o(h=t.block()),e("if(",r,"){",h,"}"),s(t=t.block()),e.exit("if(",r,"){",t,"}")}function N(t,e,r,n,i){function a(r,n,i){function a(){e("if(!",u,".buffer){",l,".enableVertexAttribArray(",c,");}");var r,a=i.type;r=i.size?e.def(i.size,"||",n):n,e("if(",u,".type!==",a,"||",u,".size!==",r,"||",p.map((function(t){return u+"."+t+"!=="+i[t]})).join("||"),"){",l,".bindBuffer(",34962,",",h,".buffer);",l,".vertexAttribPointer(",[c,r,a,i.normalized,i.stride,i.offset],");",u,".type=",a,";",u,".size=",r,";",p.map((function(t){return u+"."+t+"="+i[t]+";"})).join(""),"}"),K&&(a=i.divisor,e("if(",u,".divisor!==",a,"){",t.instancing,".vertexAttribDivisorANGLE(",[c,a],");",u,".divisor=",a,";}"))}function s(){e("if(",u,".buffer){",l,".disableVertexAttribArray(",c,");",u,".buffer=null;","}if(",wt.map((function(t,e){return u+"."+t+"!=="+f[e]})).join("||"),"){",l,".vertexAttrib4f(",c,",",f,");",wt.map((function(t,e){return u+"."+t+"="+f[e]+";"})).join(""),"}")}var l=o.gl,c=e.def(r,".location"),u=e.def(o.attributes,"[",c,"]");r=i.state;var h=i.buffer,f=[i.x,i.y,i.z,i.w],p=["buffer","normalized","offset","stride"];1===r?a():2===r?s():(e("if(",r,"===",1,"){"),a(),e("}else{"),s(),e("}"))}var o=t.shared;n.forEach((function(n){var o,s=n.name,l=r.attributes[s];if(l){if(!i(l))return;o=l.append(t,e)}else{if(!i(Et))return;var c=t.scopeAttrib(s);o={},Object.keys(new X).forEach((function(t){o[t]=e.def(c,".",t)}))}a(t.link(n),function(t){switch(t){case 35664:case 35667:case 35671:return 2;case 35665:case 35668:case 35672:return 3;case 35666:case 35669:case 35673:return 4;default:return 1}}(n.info.type),o)}))}function j(t,r,n,i,o){for(var s,l=t.shared,c=l.gl,u=0;u<i.length;++u){var h,f=(g=i[u]).name,p=g.info.type,d=n.uniforms[f],g=t.link(g)+".location";if(d){if(!o(d))continue;if(R(d)){if(f=d.value,35678===p||35680===p)r(c,".uniform1i(",g,",",(p=t.link(f._texture||f.color[0]._texture))+".bind());"),r.exit(p,".unbind();");else if(35674===p||35675===p||35676===p)d=2,35675===p?d=3:35676===p&&(d=4),r(c,".uniformMatrix",d,"fv(",g,",false,",f=t.global.def("new Float32Array(["+Array.prototype.slice.call(f)+"])"),");");else{switch(p){case 5126:s="1f";break;case 35664:s="2f";break;case 35665:s="3f";break;case 35666:s="4f";break;case 35670:case 5124:s="1i";break;case 35671:case 35667:s="2i";break;case 35672:case 35668:s="3i";break;case 35673:s="4i";break;case 35669:s="4i"}r(c,".uniform",s,"(",g,",",m(f)?Array.prototype.slice.call(f):f,");")}continue}h=d.append(t,r)}else{if(!o(Et))continue;h=r.def(l.uniforms,"[",e.id(f),"]")}switch(35678===p?r("if(",h,"&&",h,'._reglType==="framebuffer"){',h,"=",h,".color[0];","}"):35680===p&&r("if(",h,"&&",h,'._reglType==="framebufferCube"){',h,"=",h,".color[0];","}"),f=1,p){case 35678:case 35680:p=r.def(h,"._texture"),r(c,".uniform1i(",g,",",p,".bind());"),r.exit(p,".unbind();");continue;case 5124:case 35670:s="1i";break;case 35667:case 35671:s="2i",f=2;break;case 35668:case 35672:s="3i",f=3;break;case 35669:case 35673:s="4i",f=4;break;case 5126:s="1f";break;case 35664:s="2f",f=2;break;case 35665:s="3f",f=3;break;case 35666:s="4f",f=4;break;case 35674:s="Matrix2fv";break;case 35675:s="Matrix3fv";break;case 35676:s="Matrix4fv"}if(r(c,".uniform",s,"(",g,","),"M"===s.charAt(0)){g=Math.pow(p-35674+2,2);var v=t.global.def("new Float32Array(",g,")");r("false,(Array.isArray(",h,")||",h," instanceof Float32Array)?",h,":(",a(g,(function(t){return v+"["+t+"]="+h+"["+t+"]"})),",",v,")")}else r(1<f?a(f,(function(t){return h+"["+t+"]"})):h);r(");")}}function U(t,e,r,n){function i(i){var a=f[i];return a?a.contextDep&&n.contextDynamic||a.propDep?a.append(t,r):a.append(t,e):e.def(h,".",i)}function a(){function t(){r(l,".drawElementsInstancedANGLE(",[d,m,v,g+"<<(("+v+"-5121)>>1)",s],");")}function e(){r(l,".drawArraysInstancedANGLE(",[d,g,m,s],");")}p?y?t():(r("if(",p,"){"),t(),r("}else{"),e(),r("}")):e()}function o(){function t(){r(u+".drawElements("+[d,m,v,g+"<<(("+v+"-5121)>>1)"]+");")}function e(){r(u+".drawArrays("+[d,g,m]+");")}p?y?t():(r("if(",p,"){"),t(),r("}else{"),e(),r("}")):e()}var s,l,c=t.shared,u=c.gl,h=c.draw,f=n.draw,p=function(){var i=f.elements,a=e;return i?((i.contextDep&&n.contextDynamic||i.propDep)&&(a=r),i=i.append(t,a)):i=a.def(h,".","elements"),i&&a("if("+i+")"+u+".bindBuffer(34963,"+i+".buffer.buffer);"),i}(),d=i("primitive"),g=i("offset"),m=function(){var i=f.count,a=e;return i?((i.contextDep&&n.contextDynamic||i.propDep)&&(a=r),i=i.append(t,a)):i=a.def(h,".","count"),i}();if("number"==typeof m){if(0===m)return}else r("if(",m,"){"),r.exit("}");K&&(s=i("instances"),l=t.instancing);var v=p+".type",y=f.elements&&R(f.elements);K&&("number"!=typeof s||0<=s)?"string"==typeof s?(r("if(",s,">0){"),a(),r("}else if(",s,"<0){"),o(),r("}")):a():o()}function V(t,e,r,n,i){return i=(e=b()).proc("body",i),K&&(e.instancing=i.def(e.shared.extensions,".angle_instanced_arrays")),t(e,i,r,n),e.compile().body}function H(t,e,r,n){L(t,e),r.useVAO?r.drawVAO?e(t.shared.vao,".setVAO(",r.drawVAO.append(t,e),");"):e(t.shared.vao,".setVAO(",t.shared.vao,".targetVAO);"):(e(t.shared.vao,".setVAO(null);"),N(t,e,r,n.attributes,(function(){return!0}))),j(t,e,r,n.uniforms,(function(){return!0})),U(t,e,e,r)}function G(t,e,r,n){function i(){return!0}t.batchId="a1",L(t,e),N(t,e,r,n.attributes,i),j(t,e,r,n.uniforms,i),U(t,e,e,r)}function Y(t,e,r,n){function i(t){return t.contextDep&&o||t.propDep}function a(t){return!i(t)}L(t,e);var o=r.contextDep,s=e.def(),l=e.def();t.shared.props=l,t.batchId=s;var c=t.scope(),u=t.scope();e(c.entry,"for(",s,"=0;",s,"<","a1",";++",s,"){",l,"=","a0","[",s,"];",u,"}",c.exit),r.needsContext&&A(t,u,r.context),r.needsFramebuffer&&S(t,u,r.framebuffer),C(t,u,r.state,i),r.profile&&i(r.profile)&&P(t,u,r,!1,!0),n?(r.useVAO?r.drawVAO?i(r.drawVAO)?u(t.shared.vao,".setVAO(",r.drawVAO.append(t,u),");"):c(t.shared.vao,".setVAO(",r.drawVAO.append(t,c),");"):c(t.shared.vao,".setVAO(",t.shared.vao,".targetVAO);"):(c(t.shared.vao,".setVAO(null);"),N(t,c,r,n.attributes,a),N(t,u,r,n.attributes,i)),j(t,c,r,n.uniforms,a),j(t,u,r,n.uniforms,i),U(t,c,u,r)):(e=t.global.def("{}"),n=r.shader.progVar.append(t,u),l=u.def(n,".id"),c=u.def(e,"[",l,"]"),u(t.shared.gl,".useProgram(",n,".program);","if(!",c,"){",c,"=",e,"[",l,"]=",t.link((function(e){return V(G,t,r,e,2)})),"(",n,");}",c,".call(this,a0[",s,"],",s,");"))}function W(t,r){function n(e){var n=r.shader[e];n&&i.set(a.shader,"."+e,n.append(t,i))}var i=t.proc("scope",3);t.batchId="a2";var a=t.shared,o=a.current;A(t,i,r.context),r.framebuffer&&r.framebuffer.append(t,i),O(Object.keys(r.state)).forEach((function(e){var n=r.state[e].append(t,i);m(n)?n.forEach((function(r,n){i.set(t.next[e],"["+n+"]",r)})):i.set(a.next,"."+e,n)})),P(t,i,r,!0,!0),["elements","offset","count","instances","primitive"].forEach((function(e){var n=r.draw[e];n&&i.set(a.draw,"."+e,""+n.append(t,i))})),Object.keys(r.uniforms).forEach((function(n){i.set(a.uniforms,"["+e.id(n)+"]",r.uniforms[n].append(t,i))})),Object.keys(r.attributes).forEach((function(e){var n=r.attributes[e].append(t,i),a=t.scopeAttrib(e);Object.keys(new X).forEach((function(t){i.set(a,"."+t,n[t])}))})),r.scopeVAO&&i.set(a.vao,".targetVAO",r.scopeVAO.append(t,i)),n("vert"),n("frag"),0<Object.keys(r.state).length&&(i(o,".dirty=true;"),i.exit(o,".dirty=true;")),i("a1(",t.shared.context,",a0,",t.batchId,");")}function Z(t,e,r){var n=e.static[r];if(n&&function(t){if("object"==typeof t&&!m(t)){for(var e=Object.keys(t),r=0;r<e.length;++r)if(q.isDynamic(t[e[r]]))return!0;return!1}}(n)){var i=t.global,a=Object.keys(n),o=!1,s=!1,l=!1,c=t.global.def("{}");a.forEach((function(e){var r=n[e];if(q.isDynamic(r))"function"==typeof r&&(r=n[e]=q.unbox(r)),e=B(r,null),o=o||e.thisDep,l=l||e.propDep,s=s||e.contextDep;else{switch(i(c,".",e,"="),typeof r){case"number":i(r);break;case"string":i('"',r,'"');break;case"object":Array.isArray(r)&&i("[",r.join(),"]");break;default:i(t.link(r))}i(";")}})),e.dynamic[r]=new q.DynamicVariable(4,{thisDep:o,contextDep:s,propDep:l,ref:c,append:function(t,e){a.forEach((function(r){var i=n[r];q.isDynamic(i)&&(i=t.invoke(e,i),e(c,".",r,"=",i,";"))}))}}),delete e.static[r]}}var X=u.Record,J={add:32774,subtract:32778,"reverse subtract":32779};r.ext_blend_minmax&&(J.min=32775,J.max=32776);var K=r.angle_instanced_arrays,$=r.webgl_draw_buffers,tt={dirty:!0,profile:g.profile},et={},rt=[],it={},at={};y("dither",3024),y("blend.enable",3042),x("blend.color","blendColor",[0,0,0,0]),x("blend.equation","blendEquationSeparate",[32774,32774]),x("blend.func","blendFuncSeparate",[1,0,1,0]),y("depth.enable",2929,!0),x("depth.func","depthFunc",513),x("depth.range","depthRange",[0,1]),x("depth.mask","depthMask",!0),x("colorMask","colorMask",[!0,!0,!0,!0]),y("cull.enable",2884),x("cull.face","cullFace",1029),x("frontFace","frontFace",2305),x("lineWidth","lineWidth",1),y("polygonOffset.enable",32823),x("polygonOffset.offset","polygonOffset",[0,0]),y("sample.alpha",32926),y("sample.enable",32928),x("sample.coverage","sampleCoverage",[1,!1]),y("stencil.enable",2960),x("stencil.mask","stencilMask",-1),x("stencil.func","stencilFunc",[519,0,-1]),x("stencil.opFront","stencilOpSeparate",[1028,7680,7680,7680]),x("stencil.opBack","stencilOpSeparate",[1029,7680,7680,7680]),y("scissor.enable",3089),x("scissor.box","scissor",[0,0,t.drawingBufferWidth,t.drawingBufferHeight]),x("viewport","viewport",[0,0,t.drawingBufferWidth,t.drawingBufferHeight]);var ot={gl:t,context:p,strings:e,next:et,current:tt,draw:f,elements:o,buffer:i,shader:h,attributes:u.state,vao:u,uniforms:c,framebuffer:l,extensions:r,timer:d,isBufferArgs:z},st={primTypes:nt,compareFuncs:Mt,blendFuncs:kt,blendEquations:J,stencilOps:At,glTypes:Q,orientationType:St};$&&(st.backBuffer=[1029],st.drawBuffer=a(n.maxDrawbuffers,(function(t){return 0===t?[0]:a(t,(function(t){return 36064+t}))})));var lt=0;return{next:et,current:tt,procs:function(){var t=b(),e=t.proc("poll"),i=t.proc("refresh"),o=t.block();e(o),i(o);var s,l=t.shared,c=l.gl,u=l.next,h=l.current;o(h,".dirty=false;"),S(t,e),S(t,i,null,!0),K&&(s=t.link(K)),r.oes_vertex_array_object&&i(t.link(r.oes_vertex_array_object),".bindVertexArrayOES(null);");for(var f=0;f<n.maxAttributes;++f){var p=i.def(l.attributes,"[",f,"]"),d=t.cond(p,".buffer");d.then(c,".enableVertexAttribArray(",f,");",c,".bindBuffer(",34962,",",p,".buffer.buffer);",c,".vertexAttribPointer(",f,",",p,".size,",p,".type,",p,".normalized,",p,".stride,",p,".offset);").else(c,".disableVertexAttribArray(",f,");",c,".vertexAttrib4f(",f,",",p,".x,",p,".y,",p,".z,",p,".w);",p,".buffer=null;"),i(d),K&&i(s,".vertexAttribDivisorANGLE(",f,",",p,".divisor);")}return i(t.shared.vao,".currentVAO=null;",t.shared.vao,".setVAO(",t.shared.vao,".targetVAO);"),Object.keys(it).forEach((function(r){var n=it[r],a=o.def(u,".",r),s=t.block();s("if(",a,"){",c,".enable(",n,")}else{",c,".disable(",n,")}",h,".",r,"=",a,";"),i(s),e("if(",a,"!==",h,".",r,"){",s,"}")})),Object.keys(at).forEach((function(r){var n,s,l=at[r],f=tt[r],p=t.block();p(c,".",l,"("),m(f)?(l=f.length,n=t.global.def(u,".",r),s=t.global.def(h,".",r),p(a(l,(function(t){return n+"["+t+"]"})),");",a(l,(function(t){return s+"["+t+"]="+n+"["+t+"];"})).join("")),e("if(",a(l,(function(t){return n+"["+t+"]!=="+s+"["+t+"]"})).join("||"),"){",p,"}")):(n=o.def(u,".",r),s=o.def(h,".",r),p(n,");",h,".",r,"=",n,";"),e("if(",n,"!==",s,"){",p,"}")),i(p)})),t.compile()}(),compile:function(t,e,r,n,i){var a=b();return a.stats=a.link(i),Object.keys(e.static).forEach((function(t){Z(a,e,t)})),Tt.forEach((function(e){Z(a,t,e)})),r=M(t,e,r,n),function(t,e){var r=t.proc("draw",1);L(t,r),A(t,r,e.context),S(t,r,e.framebuffer),E(t,r,e),C(t,r,e.state),P(t,r,e,!1,!0);var n=e.shader.progVar.append(t,r);if(r(t.shared.gl,".useProgram(",n,".program);"),e.shader.program)H(t,r,e,e.shader.program);else{r(t.shared.vao,".setVAO(null);");var i=t.global.def("{}"),a=r.def(n,".id"),o=r.def(i,"[",a,"]");r(t.cond(o).then(o,".call(this,a0);").else(o,"=",i,"[",a,"]=",t.link((function(r){return V(H,t,e,r,1)})),"(",n,");",o,".call(this,a0);"))}0<Object.keys(e.state).length&&r(t.shared.current,".dirty=true;")}(a,r),W(a,r),function(t,e){function r(t){return t.contextDep&&i||t.propDep}var n=t.proc("batch",2);t.batchId="0",L(t,n);var i=!1,a=!0;Object.keys(e.context).forEach((function(t){i=i||e.context[t].propDep})),i||(A(t,n,e.context),a=!1);var o=!1;if((s=e.framebuffer)?(s.propDep?i=o=!0:s.contextDep&&i&&(o=!0),o||S(t,n,s)):S(t,n,null),e.state.viewport&&e.state.viewport.propDep&&(i=!0),E(t,n,e),C(t,n,e.state,(function(t){return!r(t)})),e.profile&&r(e.profile)||P(t,n,e,!1,"a1"),e.contextDep=i,e.needsContext=a,e.needsFramebuffer=o,(a=e.shader.progVar).contextDep&&i||a.propDep)Y(t,n,e,null);else if(a=a.append(t,n),n(t.shared.gl,".useProgram(",a,".program);"),e.shader.program)Y(t,n,e,e.shader.program);else{n(t.shared.vao,".setVAO(null);");var s=t.global.def("{}"),l=(o=n.def(a,".id"),n.def(s,"[",o,"]"));n(t.cond(l).then(l,".call(this,a0,a1);").else(l,"=",s,"[",o,"]=",t.link((function(r){return V(Y,t,e,r,2)})),"(",a,");",l,".call(this,a0,a1);"))}0<Object.keys(e.state).length&&n(t.shared.current,".dirty=true;")}(a,r),a.compile()}}}function j(t,e){for(var r=0;r<t.length;++r)if(t[r]===e)return r;return-1}var U=function(t,e){for(var r=Object.keys(e),n=0;n<r.length;++n)t[r[n]]=e[r[n]];return t},V=0,q={DynamicVariable:t,define:function(r,n){return new t(r,e(n+""))},isDynamic:function(e){return"function"==typeof e&&!e._reglType||e instanceof t},unbox:function(e,r){return"function"==typeof e?new t(0,e):e},accessor:e},H={next:"function"==typeof requestAnimationFrame?function(t){return requestAnimationFrame(t)}:function(t){return setTimeout(t,16)},cancel:"function"==typeof cancelAnimationFrame?function(t){return cancelAnimationFrame(t)}:clearTimeout},G="undefined"!=typeof performance&&performance.now?function(){return performance.now()}:function(){return+new Date},Y=s();Y.zero=s();var W=function(t,e){var r=1;e.ext_texture_filter_anisotropic&&(r=t.getParameter(34047));var n=1,i=1;e.webgl_draw_buffers&&(n=t.getParameter(34852),i=t.getParameter(36063));var a=!!e.oes_texture_float;if(a){a=t.createTexture(),t.bindTexture(3553,a),t.texImage2D(3553,0,6408,1,1,0,6408,5126,null);var o=t.createFramebuffer();if(t.bindFramebuffer(36160,o),t.framebufferTexture2D(36160,36064,3553,a,0),t.bindTexture(3553,null),36053!==t.checkFramebufferStatus(36160))a=!1;else{t.viewport(0,0,1,1),t.clearColor(1,0,0,1),t.clear(16384);var s=Y.allocType(5126,4);t.readPixels(0,0,1,1,6408,5126,s),t.getError()?a=!1:(t.deleteFramebuffer(o),t.deleteTexture(a),a=1===s[0]),Y.freeType(s)}}return s=!0,"undefined"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\//.test(navigator.appVersion)||/Edge/.test(navigator.userAgent))||(s=t.createTexture(),o=Y.allocType(5121,36),t.activeTexture(33984),t.bindTexture(34067,s),t.texImage2D(34069,0,6408,3,3,0,6408,5121,o),Y.freeType(o),t.bindTexture(34067,null),t.deleteTexture(s),s=!t.getError()),{colorBits:[t.getParameter(3410),t.getParameter(3411),t.getParameter(3412),t.getParameter(3413)],depthBits:t.getParameter(3414),stencilBits:t.getParameter(3415),subpixelBits:t.getParameter(3408),extensions:Object.keys(e).filter((function(t){return!!e[t]})),maxAnisotropic:r,maxDrawbuffers:n,maxColorAttachments:i,pointSizeDims:t.getParameter(33901),lineWidthDims:t.getParameter(33902),maxViewportDims:t.getParameter(3386),maxCombinedTextureUnits:t.getParameter(35661),maxCubeMapSize:t.getParameter(34076),maxRenderbufferSize:t.getParameter(34024),maxTextureUnits:t.getParameter(34930),maxTextureSize:t.getParameter(3379),maxAttributes:t.getParameter(34921),maxVertexUniforms:t.getParameter(36347),maxVertexTextureUnits:t.getParameter(35660),maxVaryingVectors:t.getParameter(36348),maxFragmentUniforms:t.getParameter(36349),glsl:t.getParameter(35724),renderer:t.getParameter(7937),vendor:t.getParameter(7936),version:t.getParameter(7938),readFloat:a,npotTextureCube:s}},Z=function(t){return t instanceof Uint8Array||t instanceof Uint16Array||t instanceof Uint32Array||t instanceof Int8Array||t instanceof Int16Array||t instanceof Int32Array||t instanceof Float32Array||t instanceof Float64Array||t instanceof Uint8ClampedArray},X=function(t){return Object.keys(t).map((function(e){return t[e]}))},J={shape:function(t){for(var e=[];t.length;t=t[0])e.push(t.length);return e},flatten:function(t,e,r,n){var i=1;if(e.length)for(var a=0;a<e.length;++a)i*=e[a];else i=0;switch(r=n||Y.allocType(r,i),e.length){case 0:break;case 1:for(n=e[0],e=0;e<n;++e)r[e]=t[e];break;case 2:for(n=e[0],e=e[1],a=i=0;a<n;++a)for(var o=t[a],s=0;s<e;++s)r[i++]=o[s];break;case 3:c(t,e[0],e[1],e[2],r,0);break;default:!function t(e,r,n,i,a){for(var o=1,s=n+1;s<r.length;++s)o*=r[s];var l=r[n];if(4==r.length-n){var u=r[n+1],h=r[n+2];for(r=r[n+3],s=0;s<l;++s)c(e[s],u,h,r,i,a),a+=o}else for(s=0;s<l;++s)t(e[s],r,n+1,i,a),a+=o}(t,e,0,r,0)}return r}},K={"[object Int8Array]":5120,"[object Int16Array]":5122,"[object Int32Array]":5124,"[object Uint8Array]":5121,"[object Uint8ClampedArray]":5121,"[object Uint16Array]":5123,"[object Uint32Array]":5125,"[object Float32Array]":5126,"[object Float64Array]":5121,"[object ArrayBuffer]":5121},Q={int8:5120,int16:5122,int32:5124,uint8:5121,uint16:5123,uint32:5125,float:5126,float32:5126},$={dynamic:35048,stream:35040,static:35044},tt=J.flatten,et=J.shape,rt=[];rt[5120]=1,rt[5122]=2,rt[5124]=4,rt[5121]=1,rt[5123]=2,rt[5125]=4,rt[5126]=4;var nt={points:0,point:0,lines:1,line:1,triangles:4,triangle:4,"line loop":2,"line strip":3,"triangle strip":5,"triangle fan":6},it=new Float32Array(1),at=new Uint32Array(it.buffer),ot=[9984,9986,9985,9987],st=[0,6409,6410,6407,6408],lt={};lt[6409]=lt[6406]=lt[6402]=1,lt[34041]=lt[6410]=2,lt[6407]=lt[35904]=3,lt[6408]=lt[35906]=4;var ct=v("HTMLCanvasElement"),ut=v("OffscreenCanvas"),ht=v("CanvasRenderingContext2D"),ft=v("ImageBitmap"),pt=v("HTMLImageElement"),dt=v("HTMLVideoElement"),gt=Object.keys(K).concat([ct,ut,ht,ft,pt,dt]),mt=[];mt[5121]=1,mt[5126]=4,mt[36193]=2,mt[5123]=2,mt[5125]=4;var vt=[];vt[32854]=2,vt[32855]=2,vt[36194]=2,vt[34041]=4,vt[33776]=.5,vt[33777]=.5,vt[33778]=1,vt[33779]=1,vt[35986]=.5,vt[35987]=1,vt[34798]=1,vt[35840]=.5,vt[35841]=.25,vt[35842]=.5,vt[35843]=.25,vt[36196]=.5;var yt=[];yt[32854]=2,yt[32855]=2,yt[36194]=2,yt[33189]=2,yt[36168]=1,yt[34041]=4,yt[35907]=4,yt[34836]=16,yt[34842]=8,yt[34843]=6;var xt=function(t,e,r,n,i){function a(t){this.id=c++,this.refCount=1,this.renderbuffer=t,this.format=32854,this.height=this.width=0,i.profile&&(this.stats={size:0})}function o(e){var r=e.renderbuffer;t.bindRenderbuffer(36161,null),t.deleteRenderbuffer(r),e.renderbuffer=null,e.refCount=0,delete u[e.id],n.renderbufferCount--}var s={rgba4:32854,rgb565:36194,"rgb5 a1":32855,depth:33189,stencil:36168,"depth stencil":34041};e.ext_srgb&&(s.srgba=35907),e.ext_color_buffer_half_float&&(s.rgba16f=34842,s.rgb16f=34843),e.webgl_color_buffer_float&&(s.rgba32f=34836);var l=[];Object.keys(s).forEach((function(t){l[s[t]]=t}));var c=0,u={};return a.prototype.decRef=function(){0>=--this.refCount&&o(this)},i.profile&&(n.getTotalRenderbufferSize=function(){var t=0;return Object.keys(u).forEach((function(e){t+=u[e].stats.size})),t}),{create:function(e,r){function o(e,r){var n=0,a=0,u=32854;if("object"==typeof e&&e?("shape"in e?(n=0|(a=e.shape)[0],a=0|a[1]):("radius"in e&&(n=a=0|e.radius),"width"in e&&(n=0|e.width),"height"in e&&(a=0|e.height)),"format"in e&&(u=s[e.format])):"number"==typeof e?(n=0|e,a="number"==typeof r?0|r:n):e||(n=a=1),n!==c.width||a!==c.height||u!==c.format)return o.width=c.width=n,o.height=c.height=a,c.format=u,t.bindRenderbuffer(36161,c.renderbuffer),t.renderbufferStorage(36161,u,n,a),i.profile&&(c.stats.size=yt[c.format]*c.width*c.height),o.format=l[c.format],o}var c=new a(t.createRenderbuffer());return u[c.id]=c,n.renderbufferCount++,o(e,r),o.resize=function(e,r){var n=0|e,a=0|r||n;return n===c.width&&a===c.height||(o.width=c.width=n,o.height=c.height=a,t.bindRenderbuffer(36161,c.renderbuffer),t.renderbufferStorage(36161,c.format,n,a),i.profile&&(c.stats.size=yt[c.format]*c.width*c.height)),o},o._reglType="renderbuffer",o._renderbuffer=c,i.profile&&(o.stats=c.stats),o.destroy=function(){c.decRef()},o},clear:function(){X(u).forEach(o)},restore:function(){X(u).forEach((function(e){e.renderbuffer=t.createRenderbuffer(),t.bindRenderbuffer(36161,e.renderbuffer),t.renderbufferStorage(36161,e.format,e.width,e.height)})),t.bindRenderbuffer(36161,null)}}},bt=[];bt[6408]=4,bt[6407]=3;var _t=[];_t[5121]=1,_t[5126]=4,_t[36193]=2;var wt=["x","y","z","w"],Tt="blend.func blend.equation stencil.func stencil.opFront stencil.opBack sample.coverage viewport scissor.box polygonOffset.offset".split(" "),kt={0:0,1:1,zero:0,one:1,"src color":768,"one minus src color":769,"src alpha":770,"one minus src alpha":771,"dst color":774,"one minus dst color":775,"dst alpha":772,"one minus dst alpha":773,"constant color":32769,"one minus constant color":32770,"constant alpha":32771,"one minus constant alpha":32772,"src alpha saturate":776},Mt={never:512,less:513,"<":513,equal:514,"=":514,"==":514,"===":514,lequal:515,"<=":515,greater:516,">":516,notequal:517,"!=":517,"!==":517,gequal:518,">=":518,always:519},At={0:0,zero:0,keep:7680,replace:7681,increment:7682,decrement:7683,"increment wrap":34055,"decrement wrap":34056,invert:5386},St={cw:2304,ccw:2305},Et=new D(!1,!1,!1,(function(){}));return function(t){function e(){if(0===J.length)w&&w.update(),tt=null;else{tt=H.next(e),h();for(var t=J.length-1;0<=t;--t){var r=J[t];r&&r(P,null,0)}m.flush(),w&&w.update()}}function r(){!tt&&0<J.length&&(tt=H.next(e))}function n(){tt&&(H.cancel(e),tt=null)}function a(t){t.preventDefault(),n(),K.forEach((function(t){t()}))}function o(t){m.getError(),y.restore(),R.restore(),z.restore(),F.restore(),B.restore(),V.restore(),O.restore(),w&&w.restore(),Y.procs.refresh(),r(),Q.forEach((function(t){t()}))}function s(t){function e(t){var e={},r={};return Object.keys(t).forEach((function(n){var i=t[n];q.isDynamic(i)?r[n]=q.unbox(i,n):e[n]=i})),{dynamic:r,static:e}}var r=e(t.context||{}),n=e(t.uniforms||{}),i=e(t.attributes||{}),a=e(function(t){function e(t){if(t in r){var e=r[t];delete r[t],Object.keys(e).forEach((function(n){r[t+"."+n]=e[n]}))}}var r=U({},t);return delete r.uniforms,delete r.attributes,delete r.context,delete r.vao,"stencil"in r&&r.stencil.op&&(r.stencil.opBack=r.stencil.opFront=r.stencil.op,delete r.stencil.op),e("blend"),e("depth"),e("cull"),e("stencil"),e("polygonOffset"),e("scissor"),e("sample"),"vao"in t&&(r.vao=t.vao),r}(t));t={gpuTime:0,cpuTime:0,count:0};var o=(r=Y.compile(a,i,n,r,t)).draw,s=r.batch,l=r.scope,c=[];return U((function(t,e){var r;if("function"==typeof t)return l.call(this,null,t,0);if("function"==typeof e)if("number"==typeof t)for(r=0;r<t;++r)l.call(this,null,e,r);else{if(!Array.isArray(t))return l.call(this,t,e,0);for(r=0;r<t.length;++r)l.call(this,t[r],e,r)}else if("number"==typeof t){if(0<t)return s.call(this,function(t){for(;c.length<t;)c.push(null);return c}(0|t),0|t)}else{if(!Array.isArray(t))return o.call(this,t);if(t.length)return s.call(this,t,t.length)}}),{stats:t})}function l(t,e){var r=0;Y.procs.poll();var n=e.color;n&&(m.clearColor(+n[0]||0,+n[1]||0,+n[2]||0,+n[3]||0),r|=16384),"depth"in e&&(m.clearDepth(+e.depth),r|=256),"stencil"in e&&(m.clearStencil(0|e.stencil),r|=1024),m.clear(r)}function c(t){return J.push(t),r(),{cancel:function(){var e=j(J,t);J[e]=function t(){var e=j(J,t);J[e]=J[J.length-1],--J.length,0>=J.length&&n()}}}}function u(){var t=Z.viewport,e=Z.scissor_box;t[0]=t[1]=e[0]=e[1]=0,P.viewportWidth=P.framebufferWidth=P.drawingBufferWidth=t[2]=e[2]=m.drawingBufferWidth,P.viewportHeight=P.framebufferHeight=P.drawingBufferHeight=t[3]=e[3]=m.drawingBufferHeight}function h(){P.tick+=1,P.time=g(),u(),Y.procs.poll()}function f(){u(),Y.procs.refresh(),w&&w.update()}function g(){return(G()-T)/1e3}if(!(t=i(t)))return null;var m=t.gl,v=m.getContextAttributes();m.isContextLost();var y=function(t,e){function r(e){var r;e=e.toLowerCase();try{r=n[e]=t.getExtension(e)}catch(t){}return!!r}for(var n={},i=0;i<e.extensions.length;++i){var a=e.extensions[i];if(!r(a))return e.onDestroy(),e.onDone('"'+a+'" extension is not supported by the current WebGL context, try upgrading your system or a different browser'),null}return e.optionalExtensions.forEach(r),{extensions:n,restore:function(){Object.keys(n).forEach((function(t){if(n[t]&&!r(t))throw Error("(regl): error restoring extension "+t)}))}}}(m,t);if(!y)return null;var x=function(){var t={"":0},e=[""];return{id:function(r){var n=t[r];return n||(n=t[r]=e.length,e.push(r),n)},str:function(t){return e[t]}}}(),b={vaoCount:0,bufferCount:0,elementsCount:0,framebufferCount:0,shaderCount:0,textureCount:0,cubeCount:0,renderbufferCount:0,maxTextureUnits:0},_=y.extensions,w=function(t,e){function r(){this.endQueryIndex=this.startQueryIndex=-1,this.sum=0,this.stats=null}function n(t,e,n){var i=o.pop()||new r;i.startQueryIndex=t,i.endQueryIndex=e,i.sum=0,i.stats=n,s.push(i)}if(!e.ext_disjoint_timer_query)return null;var i=[],a=[],o=[],s=[],l=[],c=[];return{beginQuery:function(t){var r=i.pop()||e.ext_disjoint_timer_query.createQueryEXT();e.ext_disjoint_timer_query.beginQueryEXT(35007,r),a.push(r),n(a.length-1,a.length,t)},endQuery:function(){e.ext_disjoint_timer_query.endQueryEXT(35007)},pushScopeStats:n,update:function(){var t,r;if(0!==(t=a.length)){c.length=Math.max(c.length,t+1),l.length=Math.max(l.length,t+1),l[0]=0;var n=c[0]=0;for(r=t=0;r<a.length;++r){var u=a[r];e.ext_disjoint_timer_query.getQueryObjectEXT(u,34919)?(n+=e.ext_disjoint_timer_query.getQueryObjectEXT(u,34918),i.push(u)):a[t++]=u,l[r+1]=n,c[r+1]=t}for(a.length=t,r=t=0;r<s.length;++r){var h=(n=s[r]).startQueryIndex;u=n.endQueryIndex;n.sum+=l[u]-l[h],h=c[h],(u=c[u])===h?(n.stats.gpuTime+=n.sum/1e6,o.push(n)):(n.startQueryIndex=h,n.endQueryIndex=u,s[t++]=n)}s.length=t}},getNumPendingQueries:function(){return a.length},clear:function(){i.push.apply(i,a);for(var t=0;t<i.length;t++)e.ext_disjoint_timer_query.deleteQueryEXT(i[t]);a.length=0,i.length=0},restore:function(){a.length=0,i.length=0}}}(0,_),T=G(),A=m.drawingBufferWidth,L=m.drawingBufferHeight,P={tick:0,time:0,viewportWidth:A,viewportHeight:L,framebufferWidth:A,framebufferHeight:L,drawingBufferWidth:A,drawingBufferHeight:L,pixelRatio:t.pixelRatio},I=W(m,_),z=p(m,b,t,(function(t){return O.destroyBuffer(t)})),O=S(m,_,I,b,z),D=d(m,_,z,b),R=E(m,x,b,t),F=k(m,_,I,(function(){Y.procs.poll()}),P,b,t),B=xt(m,_,0,b,t),V=M(m,_,I,F,B,b),Y=N(m,x,_,I,z,D,0,V,{},O,R,{elements:null,primitive:4,count:-1,offset:0,instances:-1},P,w,t),Z=(x=C(m,V,Y.procs.poll,P),Y.next),X=m.canvas,J=[],K=[],Q=[],$=[t.onDestroy],tt=null;X&&(X.addEventListener("webglcontextlost",a,!1),X.addEventListener("webglcontextrestored",o,!1));var et=V.setFBO=s({framebuffer:q.define.call(null,1,"framebuffer")});return f(),v=U(s,{clear:function(t){if("framebuffer"in t)if(t.framebuffer&&"framebufferCube"===t.framebuffer_reglType)for(var e=0;6>e;++e)et(U({framebuffer:t.framebuffer.faces[e]},t),l);else et(t,l);else l(0,t)},prop:q.define.bind(null,1),context:q.define.bind(null,2),this:q.define.bind(null,3),draw:s({}),buffer:function(t){return z.create(t,34962,!1,!1)},elements:function(t){return D.create(t,!1)},texture:F.create2D,cube:F.createCube,renderbuffer:B.create,framebuffer:V.create,framebufferCube:V.createCube,vao:O.createVAO,attributes:v,frame:c,on:function(t,e){var r;switch(t){case"frame":return c(e);case"lost":r=K;break;case"restore":r=Q;break;case"destroy":r=$}return r.push(e),{cancel:function(){for(var t=0;t<r.length;++t)if(r[t]===e){r[t]=r[r.length-1],r.pop();break}}}},limits:I,hasExtension:function(t){return 0<=I.extensions.indexOf(t.toLowerCase())},read:x,destroy:function(){J.length=0,n(),X&&(X.removeEventListener("webglcontextlost",a),X.removeEventListener("webglcontextrestored",o)),R.clear(),V.clear(),B.clear(),F.clear(),D.clear(),z.clear(),O.clear(),w&&w.clear(),$.forEach((function(t){t()}))},_gl:m,_refresh:f,poll:function(){h(),w&&w.update()},now:g,stats:b}),t.onDone(null,v),v}}))},{}],513:[function(t,e,r){
 /*!
  * repeat-string <https://github.com/jonschlinkert/repeat-string>
  *
  * Copyright (c) 2014-2015, Jon Schlinkert.
  * Licensed under the MIT License.
  */
-"use strict";var n,i="";e.exports=function(t,e){if("string"!=typeof t)throw new TypeError("expected a string");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||void 0===n)n=t,i="";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],278:[function(t,e,r){(function(t){(function(){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this)}).call(this,void 0!==n?n:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],279:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i<e;++i){var l;a=t[i];(l=(o=r)-((r=a+o)-a))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],280:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum"),a=t("robust-scale"),o=t("robust-compress");function s(t,e,r,n){return function(e){return n(t(r(e[0][0],e[1][1]),r(-e[0][1],e[1][0])))}}function l(t,e,r,n){return function(i){return n(t(e(t(r(i[1][1],i[2][2]),r(-i[1][2],i[2][1])),i[0][0]),t(e(t(r(i[1][0],i[2][2]),r(-i[1][2],i[2][0])),-i[0][1]),e(t(r(i[1][0],i[2][1]),r(-i[1][1],i[2][0])),i[0][2]))))}}function c(t,e,r,n){return function(i){return n(t(t(e(t(e(t(r(i[2][2],i[3][3]),r(-i[2][3],i[3][2])),i[1][1]),t(e(t(r(i[2][1],i[3][3]),r(-i[2][3],i[3][1])),-i[1][2]),e(t(r(i[2][1],i[3][2]),r(-i[2][2],i[3][1])),i[1][3]))),i[0][0]),e(t(e(t(r(i[2][2],i[3][3]),r(-i[2][3],i[3][2])),i[1][0]),t(e(t(r(i[2][0],i[3][3]),r(-i[2][3],i[3][0])),-i[1][2]),e(t(r(i[2][0],i[3][2]),r(-i[2][2],i[3][0])),i[1][3]))),-i[0][1])),t(e(t(e(t(r(i[2][1],i[3][3]),r(-i[2][3],i[3][1])),i[1][0]),t(e(t(r(i[2][0],i[3][3]),r(-i[2][3],i[3][0])),-i[1][1]),e(t(r(i[2][0],i[3][1]),r(-i[2][1],i[3][0])),i[1][3]))),i[0][2]),e(t(e(t(r(i[2][1],i[3][2]),r(-i[2][2],i[3][1])),i[1][0]),t(e(t(r(i[2][0],i[3][2]),r(-i[2][2],i[3][0])),-i[1][1]),e(t(r(i[2][0],i[3][1]),r(-i[2][1],i[3][0])),i[1][2]))),-i[0][3]))))}}function u(t,e,r,n){return function(i){return n(t(t(e(t(t(e(t(e(t(r(i[3][3],i[4][4]),r(-i[3][4],i[4][3])),i[2][2]),t(e(t(r(i[3][2],i[4][4]),r(-i[3][4],i[4][2])),-i[2][3]),e(t(r(i[3][2],i[4][3]),r(-i[3][3],i[4][2])),i[2][4]))),i[1][1]),e(t(e(t(r(i[3][3],i[4][4]),r(-i[3][4],i[4][3])),i[2][1]),t(e(t(r(i[3][1],i[4][4]),r(-i[3][4],i[4][1])),-i[2][3]),e(t(r(i[3][1],i[4][3]),r(-i[3][3],i[4][1])),i[2][4]))),-i[1][2])),t(e(t(e(t(r(i[3][2],i[4][4]),r(-i[3][4],i[4][2])),i[2][1]),t(e(t(r(i[3][1],i[4][4]),r(-i[3][4],i[4][1])),-i[2][2]),e(t(r(i[3][1],i[4][2]),r(-i[3][2],i[4][1])),i[2][4]))),i[1][3]),e(t(e(t(r(i[3][2],i[4][3]),r(-i[3][3],i[4][2])),i[2][1]),t(e(t(r(i[3][1],i[4][3]),r(-i[3][3],i[4][1])),-i[2][2]),e(t(r(i[3][1],i[4][2]),r(-i[3][2],i[4][1])),i[2][3]))),-i[1][4]))),i[0][0]),e(t(t(e(t(e(t(r(i[3][3],i[4][4]),r(-i[3][4],i[4][3])),i[2][2]),t(e(t(r(i[3][2],i[4][4]),r(-i[3][4],i[4][2])),-i[2][3]),e(t(r(i[3][2],i[4][3]),r(-i[3][3],i[4][2])),i[2][4]))),i[1][0]),e(t(e(t(r(i[3][3],i[4][4]),r(-i[3][4],i[4][3])),i[2][0]),t(e(t(r(i[3][0],i[4][4]),r(-i[3][4],i[4][0])),-i[2][3]),e(t(r(i[3][0],i[4][3]),r(-i[3][3],i[4][0])),i[2][4]))),-i[1][2])),t(e(t(e(t(r(i[3][2],i[4][4]),r(-i[3][4],i[4][2])),i[2][0]),t(e(t(r(i[3][0],i[4][4]),r(-i[3][4],i[4][0])),-i[2][2]),e(t(r(i[3][0],i[4][2]),r(-i[3][2],i[4][0])),i[2][4]))),i[1][3]),e(t(e(t(r(i[3][2],i[4][3]),r(-i[3][3],i[4][2])),i[2][0]),t(e(t(r(i[3][0],i[4][3]),r(-i[3][3],i[4][0])),-i[2][2]),e(t(r(i[3][0],i[4][2]),r(-i[3][2],i[4][0])),i[2][3]))),-i[1][4]))),-i[0][1])),t(e(t(t(e(t(e(t(r(i[3][3],i[4][4]),r(-i[3][4],i[4][3])),i[2][1]),t(e(t(r(i[3][1],i[4][4]),r(-i[3][4],i[4][1])),-i[2][3]),e(t(r(i[3][1],i[4][3]),r(-i[3][3],i[4][1])),i[2][4]))),i[1][0]),e(t(e(t(r(i[3][3],i[4][4]),r(-i[3][4],i[4][3])),i[2][0]),t(e(t(r(i[3][0],i[4][4]),r(-i[3][4],i[4][0])),-i[2][3]),e(t(r(i[3][0],i[4][3]),r(-i[3][3],i[4][0])),i[2][4]))),-i[1][1])),t(e(t(e(t(r(i[3][1],i[4][4]),r(-i[3][4],i[4][1])),i[2][0]),t(e(t(r(i[3][0],i[4][4]),r(-i[3][4],i[4][0])),-i[2][1]),e(t(r(i[3][0],i[4][1]),r(-i[3][1],i[4][0])),i[2][4]))),i[1][3]),e(t(e(t(r(i[3][1],i[4][3]),r(-i[3][3],i[4][1])),i[2][0]),t(e(t(r(i[3][0],i[4][3]),r(-i[3][3],i[4][0])),-i[2][1]),e(t(r(i[3][0],i[4][1]),r(-i[3][1],i[4][0])),i[2][3]))),-i[1][4]))),i[0][2]),t(e(t(t(e(t(e(t(r(i[3][2],i[4][4]),r(-i[3][4],i[4][2])),i[2][1]),t(e(t(r(i[3][1],i[4][4]),r(-i[3][4],i[4][1])),-i[2][2]),e(t(r(i[3][1],i[4][2]),r(-i[3][2],i[4][1])),i[2][4]))),i[1][0]),e(t(e(t(r(i[3][2],i[4][4]),r(-i[3][4],i[4][2])),i[2][0]),t(e(t(r(i[3][0],i[4][4]),r(-i[3][4],i[4][0])),-i[2][2]),e(t(r(i[3][0],i[4][2]),r(-i[3][2],i[4][0])),i[2][4]))),-i[1][1])),t(e(t(e(t(r(i[3][1],i[4][4]),r(-i[3][4],i[4][1])),i[2][0]),t(e(t(r(i[3][0],i[4][4]),r(-i[3][4],i[4][0])),-i[2][1]),e(t(r(i[3][0],i[4][1]),r(-i[3][1],i[4][0])),i[2][4]))),i[1][2]),e(t(e(t(r(i[3][1],i[4][2]),r(-i[3][2],i[4][1])),i[2][0]),t(e(t(r(i[3][0],i[4][2]),r(-i[3][2],i[4][0])),-i[2][1]),e(t(r(i[3][0],i[4][1]),r(-i[3][1],i[4][0])),i[2][2]))),-i[1][4]))),-i[0][3]),e(t(t(e(t(e(t(r(i[3][2],i[4][3]),r(-i[3][3],i[4][2])),i[2][1]),t(e(t(r(i[3][1],i[4][3]),r(-i[3][3],i[4][1])),-i[2][2]),e(t(r(i[3][1],i[4][2]),r(-i[3][2],i[4][1])),i[2][3]))),i[1][0]),e(t(e(t(r(i[3][2],i[4][3]),r(-i[3][3],i[4][2])),i[2][0]),t(e(t(r(i[3][0],i[4][3]),r(-i[3][3],i[4][0])),-i[2][2]),e(t(r(i[3][0],i[4][2]),r(-i[3][2],i[4][0])),i[2][3]))),-i[1][1])),t(e(t(e(t(r(i[3][1],i[4][3]),r(-i[3][3],i[4][1])),i[2][0]),t(e(t(r(i[3][0],i[4][3]),r(-i[3][3],i[4][0])),-i[2][1]),e(t(r(i[3][0],i[4][1]),r(-i[3][1],i[4][0])),i[2][3]))),i[1][2]),e(t(e(t(r(i[3][1],i[4][2]),r(-i[3][2],i[4][1])),i[2][0]),t(e(t(r(i[3][0],i[4][2]),r(-i[3][2],i[4][0])),-i[2][1]),e(t(r(i[3][0],i[4][1]),r(-i[3][1],i[4][0])),i[2][2]))),-i[1][3]))),i[0][4])))))}}function f(t){return(2===t?s:3===t?l:4===t?c:5===t?u:void 0)(i,a,n,o)}var h=[function(){return[0]},function(t){return[t[0][0]]}];function p(t,e,r,n,i,a,o,s){return function(l){switch(l.length){case 0:return t(l);case 1:return e(l);case 2:return r(l);case 3:return n(l);case 4:return i(l);case 5:return a(l)}var c=o[l.length];return c||(c=o[l.length]=s(l.length)),c(l)}}!function(){for(;h.length<6;)h.push(f(h.length));e.exports=p.apply(void 0,h.concat([h,f]));for(var t=0;t<h.length;++t)e.exports[t]=h[t]}()},{"robust-compress":279,"robust-scale":286,"robust-sum":289,"two-product":306}],281:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum");e.exports=function(t,e){for(var r=n(t[0],e[0]),a=1;a<t.length;++a)r=i(r,n(t[a],e[a]));return r}},{"robust-sum":289,"two-product":306}],282:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum"),a=t("robust-subtract"),o=t("robust-scale");function s(t){return(3===t?l:4===t?c:5===t?u:f)(i,a,n,o)}function l(t,e,r,n){return function(i,a,o){var s=r(i[0],i[0]),l=n(s,a[0]),c=n(s,o[0]),u=r(a[0],a[0]),f=n(u,i[0]),h=n(u,o[0]),p=r(o[0],o[0]),d=n(p,i[0]),m=n(p,a[0]),g=t(e(m,h),e(f,l)),v=e(d,c),y=e(g,v);return y[y.length-1]}}function c(t,e,r,n){return function(i,a,o,s){var l=t(r(i[0],i[0]),r(i[1],i[1])),c=n(l,a[0]),u=n(l,o[0]),f=n(l,s[0]),h=t(r(a[0],a[0]),r(a[1],a[1])),p=n(h,i[0]),d=n(h,o[0]),m=n(h,s[0]),g=t(r(o[0],o[0]),r(o[1],o[1])),v=n(g,i[0]),y=n(g,a[0]),x=n(g,s[0]),b=t(r(s[0],s[0]),r(s[1],s[1])),_=n(b,i[0]),w=n(b,a[0]),T=n(b,o[0]),k=t(t(n(e(T,x),a[1]),t(n(e(w,m),-o[1]),n(e(y,d),s[1]))),t(n(e(w,m),i[1]),t(n(e(_,f),-a[1]),n(e(p,c),s[1])))),A=t(t(n(e(T,x),i[1]),t(n(e(_,f),-o[1]),n(e(v,u),s[1]))),t(n(e(y,d),i[1]),t(n(e(v,u),-a[1]),n(e(p,c),o[1])))),M=e(k,A);return M[M.length-1]}}function u(t,e,r,n){return function(i,a,o,s,l){var c=t(r(i[0],i[0]),t(r(i[1],i[1]),r(i[2],i[2]))),u=n(c,a[0]),f=n(c,o[0]),h=n(c,s[0]),p=n(c,l[0]),d=t(r(a[0],a[0]),t(r(a[1],a[1]),r(a[2],a[2]))),m=n(d,i[0]),g=n(d,o[0]),v=n(d,s[0]),y=n(d,l[0]),x=t(r(o[0],o[0]),t(r(o[1],o[1]),r(o[2],o[2]))),b=n(x,i[0]),_=n(x,a[0]),w=n(x,s[0]),T=n(x,l[0]),k=t(r(s[0],s[0]),t(r(s[1],s[1]),r(s[2],s[2]))),A=n(k,i[0]),M=n(k,a[0]),S=n(k,o[0]),E=n(k,l[0]),L=t(r(l[0],l[0]),t(r(l[1],l[1]),r(l[2],l[2]))),C=n(L,i[0]),P=n(L,a[0]),I=n(L,o[0]),O=n(L,s[0]),z=t(t(t(n(t(n(e(O,E),o[1]),t(n(e(I,T),-s[1]),n(e(S,w),l[1]))),a[2]),t(n(t(n(e(O,E),a[1]),t(n(e(P,y),-s[1]),n(e(M,v),l[1]))),-o[2]),n(t(n(e(I,T),a[1]),t(n(e(P,y),-o[1]),n(e(_,g),l[1]))),s[2]))),t(n(t(n(e(S,w),a[1]),t(n(e(M,v),-o[1]),n(e(_,g),s[1]))),-l[2]),t(n(t(n(e(O,E),a[1]),t(n(e(P,y),-s[1]),n(e(M,v),l[1]))),i[2]),n(t(n(e(O,E),i[1]),t(n(e(C,p),-s[1]),n(e(A,h),l[1]))),-a[2])))),t(t(n(t(n(e(P,y),i[1]),t(n(e(C,p),-a[1]),n(e(m,u),l[1]))),s[2]),t(n(t(n(e(M,v),i[1]),t(n(e(A,h),-a[1]),n(e(m,u),s[1]))),-l[2]),n(t(n(e(S,w),a[1]),t(n(e(M,v),-o[1]),n(e(_,g),s[1]))),i[2]))),t(n(t(n(e(S,w),i[1]),t(n(e(A,h),-o[1]),n(e(b,f),s[1]))),-a[2]),t(n(t(n(e(M,v),i[1]),t(n(e(A,h),-a[1]),n(e(m,u),s[1]))),o[2]),n(t(n(e(_,g),i[1]),t(n(e(b,f),-a[1]),n(e(m,u),o[1]))),-s[2]))))),D=t(t(t(n(t(n(e(O,E),o[1]),t(n(e(I,T),-s[1]),n(e(S,w),l[1]))),i[2]),n(t(n(e(O,E),i[1]),t(n(e(C,p),-s[1]),n(e(A,h),l[1]))),-o[2])),t(n(t(n(e(I,T),i[1]),t(n(e(C,p),-o[1]),n(e(b,f),l[1]))),s[2]),n(t(n(e(S,w),i[1]),t(n(e(A,h),-o[1]),n(e(b,f),s[1]))),-l[2]))),t(t(n(t(n(e(I,T),a[1]),t(n(e(P,y),-o[1]),n(e(_,g),l[1]))),i[2]),n(t(n(e(I,T),i[1]),t(n(e(C,p),-o[1]),n(e(b,f),l[1]))),-a[2])),t(n(t(n(e(P,y),i[1]),t(n(e(C,p),-a[1]),n(e(m,u),l[1]))),o[2]),n(t(n(e(_,g),i[1]),t(n(e(b,f),-a[1]),n(e(m,u),o[1]))),-l[2])))),R=e(z,D);return R[R.length-1]}}function f(t,e,r,n){return function(i,a,o,s,l,c){var u=t(t(r(i[0],i[0]),r(i[1],i[1])),t(r(i[2],i[2]),r(i[3],i[3]))),f=n(u,a[0]),h=n(u,o[0]),p=n(u,s[0]),d=n(u,l[0]),m=n(u,c[0]),g=t(t(r(a[0],a[0]),r(a[1],a[1])),t(r(a[2],a[2]),r(a[3],a[3]))),v=n(g,i[0]),y=n(g,o[0]),x=n(g,s[0]),b=n(g,l[0]),_=n(g,c[0]),w=t(t(r(o[0],o[0]),r(o[1],o[1])),t(r(o[2],o[2]),r(o[3],o[3]))),T=n(w,i[0]),k=n(w,a[0]),A=n(w,s[0]),M=n(w,l[0]),S=n(w,c[0]),E=t(t(r(s[0],s[0]),r(s[1],s[1])),t(r(s[2],s[2]),r(s[3],s[3]))),L=n(E,i[0]),C=n(E,a[0]),P=n(E,o[0]),I=n(E,l[0]),O=n(E,c[0]),z=t(t(r(l[0],l[0]),r(l[1],l[1])),t(r(l[2],l[2]),r(l[3],l[3]))),D=n(z,i[0]),R=n(z,a[0]),F=n(z,o[0]),B=n(z,s[0]),N=n(z,c[0]),j=t(t(r(c[0],c[0]),r(c[1],c[1])),t(r(c[2],c[2]),r(c[3],c[3]))),U=n(j,i[0]),V=n(j,a[0]),H=n(j,o[0]),q=n(j,s[0]),G=n(j,l[0]),Y=t(t(t(n(t(t(n(t(n(e(G,N),s[1]),t(n(e(q,O),-l[1]),n(e(B,I),c[1]))),o[2]),n(t(n(e(G,N),o[1]),t(n(e(H,S),-l[1]),n(e(F,M),c[1]))),-s[2])),t(n(t(n(e(q,O),o[1]),t(n(e(H,S),-s[1]),n(e(P,A),c[1]))),l[2]),n(t(n(e(B,I),o[1]),t(n(e(F,M),-s[1]),n(e(P,A),l[1]))),-c[2]))),a[3]),t(n(t(t(n(t(n(e(G,N),s[1]),t(n(e(q,O),-l[1]),n(e(B,I),c[1]))),a[2]),n(t(n(e(G,N),a[1]),t(n(e(V,_),-l[1]),n(e(R,b),c[1]))),-s[2])),t(n(t(n(e(q,O),a[1]),t(n(e(V,_),-s[1]),n(e(C,x),c[1]))),l[2]),n(t(n(e(B,I),a[1]),t(n(e(R,b),-s[1]),n(e(C,x),l[1]))),-c[2]))),-o[3]),n(t(t(n(t(n(e(G,N),o[1]),t(n(e(H,S),-l[1]),n(e(F,M),c[1]))),a[2]),n(t(n(e(G,N),a[1]),t(n(e(V,_),-l[1]),n(e(R,b),c[1]))),-o[2])),t(n(t(n(e(H,S),a[1]),t(n(e(V,_),-o[1]),n(e(k,y),c[1]))),l[2]),n(t(n(e(F,M),a[1]),t(n(e(R,b),-o[1]),n(e(k,y),l[1]))),-c[2]))),s[3]))),t(t(n(t(t(n(t(n(e(q,O),o[1]),t(n(e(H,S),-s[1]),n(e(P,A),c[1]))),a[2]),n(t(n(e(q,O),a[1]),t(n(e(V,_),-s[1]),n(e(C,x),c[1]))),-o[2])),t(n(t(n(e(H,S),a[1]),t(n(e(V,_),-o[1]),n(e(k,y),c[1]))),s[2]),n(t(n(e(P,A),a[1]),t(n(e(C,x),-o[1]),n(e(k,y),s[1]))),-c[2]))),-l[3]),n(t(t(n(t(n(e(B,I),o[1]),t(n(e(F,M),-s[1]),n(e(P,A),l[1]))),a[2]),n(t(n(e(B,I),a[1]),t(n(e(R,b),-s[1]),n(e(C,x),l[1]))),-o[2])),t(n(t(n(e(F,M),a[1]),t(n(e(R,b),-o[1]),n(e(k,y),l[1]))),s[2]),n(t(n(e(P,A),a[1]),t(n(e(C,x),-o[1]),n(e(k,y),s[1]))),-l[2]))),c[3])),t(n(t(t(n(t(n(e(G,N),s[1]),t(n(e(q,O),-l[1]),n(e(B,I),c[1]))),a[2]),n(t(n(e(G,N),a[1]),t(n(e(V,_),-l[1]),n(e(R,b),c[1]))),-s[2])),t(n(t(n(e(q,O),a[1]),t(n(e(V,_),-s[1]),n(e(C,x),c[1]))),l[2]),n(t(n(e(B,I),a[1]),t(n(e(R,b),-s[1]),n(e(C,x),l[1]))),-c[2]))),i[3]),n(t(t(n(t(n(e(G,N),s[1]),t(n(e(q,O),-l[1]),n(e(B,I),c[1]))),i[2]),n(t(n(e(G,N),i[1]),t(n(e(U,m),-l[1]),n(e(D,d),c[1]))),-s[2])),t(n(t(n(e(q,O),i[1]),t(n(e(U,m),-s[1]),n(e(L,p),c[1]))),l[2]),n(t(n(e(B,I),i[1]),t(n(e(D,d),-s[1]),n(e(L,p),l[1]))),-c[2]))),-a[3])))),t(t(t(n(t(t(n(t(n(e(G,N),a[1]),t(n(e(V,_),-l[1]),n(e(R,b),c[1]))),i[2]),n(t(n(e(G,N),i[1]),t(n(e(U,m),-l[1]),n(e(D,d),c[1]))),-a[2])),t(n(t(n(e(V,_),i[1]),t(n(e(U,m),-a[1]),n(e(v,f),c[1]))),l[2]),n(t(n(e(R,b),i[1]),t(n(e(D,d),-a[1]),n(e(v,f),l[1]))),-c[2]))),s[3]),n(t(t(n(t(n(e(q,O),a[1]),t(n(e(V,_),-s[1]),n(e(C,x),c[1]))),i[2]),n(t(n(e(q,O),i[1]),t(n(e(U,m),-s[1]),n(e(L,p),c[1]))),-a[2])),t(n(t(n(e(V,_),i[1]),t(n(e(U,m),-a[1]),n(e(v,f),c[1]))),s[2]),n(t(n(e(C,x),i[1]),t(n(e(L,p),-a[1]),n(e(v,f),s[1]))),-c[2]))),-l[3])),t(n(t(t(n(t(n(e(B,I),a[1]),t(n(e(R,b),-s[1]),n(e(C,x),l[1]))),i[2]),n(t(n(e(B,I),i[1]),t(n(e(D,d),-s[1]),n(e(L,p),l[1]))),-a[2])),t(n(t(n(e(R,b),i[1]),t(n(e(D,d),-a[1]),n(e(v,f),l[1]))),s[2]),n(t(n(e(C,x),i[1]),t(n(e(L,p),-a[1]),n(e(v,f),s[1]))),-l[2]))),c[3]),n(t(t(n(t(n(e(q,O),o[1]),t(n(e(H,S),-s[1]),n(e(P,A),c[1]))),a[2]),n(t(n(e(q,O),a[1]),t(n(e(V,_),-s[1]),n(e(C,x),c[1]))),-o[2])),t(n(t(n(e(H,S),a[1]),t(n(e(V,_),-o[1]),n(e(k,y),c[1]))),s[2]),n(t(n(e(P,A),a[1]),t(n(e(C,x),-o[1]),n(e(k,y),s[1]))),-c[2]))),i[3]))),t(t(n(t(t(n(t(n(e(q,O),o[1]),t(n(e(H,S),-s[1]),n(e(P,A),c[1]))),i[2]),n(t(n(e(q,O),i[1]),t(n(e(U,m),-s[1]),n(e(L,p),c[1]))),-o[2])),t(n(t(n(e(H,S),i[1]),t(n(e(U,m),-o[1]),n(e(T,h),c[1]))),s[2]),n(t(n(e(P,A),i[1]),t(n(e(L,p),-o[1]),n(e(T,h),s[1]))),-c[2]))),-a[3]),n(t(t(n(t(n(e(q,O),a[1]),t(n(e(V,_),-s[1]),n(e(C,x),c[1]))),i[2]),n(t(n(e(q,O),i[1]),t(n(e(U,m),-s[1]),n(e(L,p),c[1]))),-a[2])),t(n(t(n(e(V,_),i[1]),t(n(e(U,m),-a[1]),n(e(v,f),c[1]))),s[2]),n(t(n(e(C,x),i[1]),t(n(e(L,p),-a[1]),n(e(v,f),s[1]))),-c[2]))),o[3])),t(n(t(t(n(t(n(e(H,S),a[1]),t(n(e(V,_),-o[1]),n(e(k,y),c[1]))),i[2]),n(t(n(e(H,S),i[1]),t(n(e(U,m),-o[1]),n(e(T,h),c[1]))),-a[2])),t(n(t(n(e(V,_),i[1]),t(n(e(U,m),-a[1]),n(e(v,f),c[1]))),o[2]),n(t(n(e(k,y),i[1]),t(n(e(T,h),-a[1]),n(e(v,f),o[1]))),-c[2]))),-s[3]),n(t(t(n(t(n(e(P,A),a[1]),t(n(e(C,x),-o[1]),n(e(k,y),s[1]))),i[2]),n(t(n(e(P,A),i[1]),t(n(e(L,p),-o[1]),n(e(T,h),s[1]))),-a[2])),t(n(t(n(e(C,x),i[1]),t(n(e(L,p),-a[1]),n(e(v,f),s[1]))),o[2]),n(t(n(e(k,y),i[1]),t(n(e(T,h),-a[1]),n(e(v,f),o[1]))),-s[2]))),c[3]))))),W=t(t(t(n(t(t(n(t(n(e(G,N),s[1]),t(n(e(q,O),-l[1]),n(e(B,I),c[1]))),o[2]),n(t(n(e(G,N),o[1]),t(n(e(H,S),-l[1]),n(e(F,M),c[1]))),-s[2])),t(n(t(n(e(q,O),o[1]),t(n(e(H,S),-s[1]),n(e(P,A),c[1]))),l[2]),n(t(n(e(B,I),o[1]),t(n(e(F,M),-s[1]),n(e(P,A),l[1]))),-c[2]))),i[3]),t(n(t(t(n(t(n(e(G,N),s[1]),t(n(e(q,O),-l[1]),n(e(B,I),c[1]))),i[2]),n(t(n(e(G,N),i[1]),t(n(e(U,m),-l[1]),n(e(D,d),c[1]))),-s[2])),t(n(t(n(e(q,O),i[1]),t(n(e(U,m),-s[1]),n(e(L,p),c[1]))),l[2]),n(t(n(e(B,I),i[1]),t(n(e(D,d),-s[1]),n(e(L,p),l[1]))),-c[2]))),-o[3]),n(t(t(n(t(n(e(G,N),o[1]),t(n(e(H,S),-l[1]),n(e(F,M),c[1]))),i[2]),n(t(n(e(G,N),i[1]),t(n(e(U,m),-l[1]),n(e(D,d),c[1]))),-o[2])),t(n(t(n(e(H,S),i[1]),t(n(e(U,m),-o[1]),n(e(T,h),c[1]))),l[2]),n(t(n(e(F,M),i[1]),t(n(e(D,d),-o[1]),n(e(T,h),l[1]))),-c[2]))),s[3]))),t(t(n(t(t(n(t(n(e(q,O),o[1]),t(n(e(H,S),-s[1]),n(e(P,A),c[1]))),i[2]),n(t(n(e(q,O),i[1]),t(n(e(U,m),-s[1]),n(e(L,p),c[1]))),-o[2])),t(n(t(n(e(H,S),i[1]),t(n(e(U,m),-o[1]),n(e(T,h),c[1]))),s[2]),n(t(n(e(P,A),i[1]),t(n(e(L,p),-o[1]),n(e(T,h),s[1]))),-c[2]))),-l[3]),n(t(t(n(t(n(e(B,I),o[1]),t(n(e(F,M),-s[1]),n(e(P,A),l[1]))),i[2]),n(t(n(e(B,I),i[1]),t(n(e(D,d),-s[1]),n(e(L,p),l[1]))),-o[2])),t(n(t(n(e(F,M),i[1]),t(n(e(D,d),-o[1]),n(e(T,h),l[1]))),s[2]),n(t(n(e(P,A),i[1]),t(n(e(L,p),-o[1]),n(e(T,h),s[1]))),-l[2]))),c[3])),t(n(t(t(n(t(n(e(G,N),o[1]),t(n(e(H,S),-l[1]),n(e(F,M),c[1]))),a[2]),n(t(n(e(G,N),a[1]),t(n(e(V,_),-l[1]),n(e(R,b),c[1]))),-o[2])),t(n(t(n(e(H,S),a[1]),t(n(e(V,_),-o[1]),n(e(k,y),c[1]))),l[2]),n(t(n(e(F,M),a[1]),t(n(e(R,b),-o[1]),n(e(k,y),l[1]))),-c[2]))),i[3]),n(t(t(n(t(n(e(G,N),o[1]),t(n(e(H,S),-l[1]),n(e(F,M),c[1]))),i[2]),n(t(n(e(G,N),i[1]),t(n(e(U,m),-l[1]),n(e(D,d),c[1]))),-o[2])),t(n(t(n(e(H,S),i[1]),t(n(e(U,m),-o[1]),n(e(T,h),c[1]))),l[2]),n(t(n(e(F,M),i[1]),t(n(e(D,d),-o[1]),n(e(T,h),l[1]))),-c[2]))),-a[3])))),t(t(t(n(t(t(n(t(n(e(G,N),a[1]),t(n(e(V,_),-l[1]),n(e(R,b),c[1]))),i[2]),n(t(n(e(G,N),i[1]),t(n(e(U,m),-l[1]),n(e(D,d),c[1]))),-a[2])),t(n(t(n(e(V,_),i[1]),t(n(e(U,m),-a[1]),n(e(v,f),c[1]))),l[2]),n(t(n(e(R,b),i[1]),t(n(e(D,d),-a[1]),n(e(v,f),l[1]))),-c[2]))),o[3]),n(t(t(n(t(n(e(H,S),a[1]),t(n(e(V,_),-o[1]),n(e(k,y),c[1]))),i[2]),n(t(n(e(H,S),i[1]),t(n(e(U,m),-o[1]),n(e(T,h),c[1]))),-a[2])),t(n(t(n(e(V,_),i[1]),t(n(e(U,m),-a[1]),n(e(v,f),c[1]))),o[2]),n(t(n(e(k,y),i[1]),t(n(e(T,h),-a[1]),n(e(v,f),o[1]))),-c[2]))),-l[3])),t(n(t(t(n(t(n(e(F,M),a[1]),t(n(e(R,b),-o[1]),n(e(k,y),l[1]))),i[2]),n(t(n(e(F,M),i[1]),t(n(e(D,d),-o[1]),n(e(T,h),l[1]))),-a[2])),t(n(t(n(e(R,b),i[1]),t(n(e(D,d),-a[1]),n(e(v,f),l[1]))),o[2]),n(t(n(e(k,y),i[1]),t(n(e(T,h),-a[1]),n(e(v,f),o[1]))),-l[2]))),c[3]),n(t(t(n(t(n(e(B,I),o[1]),t(n(e(F,M),-s[1]),n(e(P,A),l[1]))),a[2]),n(t(n(e(B,I),a[1]),t(n(e(R,b),-s[1]),n(e(C,x),l[1]))),-o[2])),t(n(t(n(e(F,M),a[1]),t(n(e(R,b),-o[1]),n(e(k,y),l[1]))),s[2]),n(t(n(e(P,A),a[1]),t(n(e(C,x),-o[1]),n(e(k,y),s[1]))),-l[2]))),i[3]))),t(t(n(t(t(n(t(n(e(B,I),o[1]),t(n(e(F,M),-s[1]),n(e(P,A),l[1]))),i[2]),n(t(n(e(B,I),i[1]),t(n(e(D,d),-s[1]),n(e(L,p),l[1]))),-o[2])),t(n(t(n(e(F,M),i[1]),t(n(e(D,d),-o[1]),n(e(T,h),l[1]))),s[2]),n(t(n(e(P,A),i[1]),t(n(e(L,p),-o[1]),n(e(T,h),s[1]))),-l[2]))),-a[3]),n(t(t(n(t(n(e(B,I),a[1]),t(n(e(R,b),-s[1]),n(e(C,x),l[1]))),i[2]),n(t(n(e(B,I),i[1]),t(n(e(D,d),-s[1]),n(e(L,p),l[1]))),-a[2])),t(n(t(n(e(R,b),i[1]),t(n(e(D,d),-a[1]),n(e(v,f),l[1]))),s[2]),n(t(n(e(C,x),i[1]),t(n(e(L,p),-a[1]),n(e(v,f),s[1]))),-l[2]))),o[3])),t(n(t(t(n(t(n(e(F,M),a[1]),t(n(e(R,b),-o[1]),n(e(k,y),l[1]))),i[2]),n(t(n(e(F,M),i[1]),t(n(e(D,d),-o[1]),n(e(T,h),l[1]))),-a[2])),t(n(t(n(e(R,b),i[1]),t(n(e(D,d),-a[1]),n(e(v,f),l[1]))),o[2]),n(t(n(e(k,y),i[1]),t(n(e(T,h),-a[1]),n(e(v,f),o[1]))),-l[2]))),-s[3]),n(t(t(n(t(n(e(P,A),a[1]),t(n(e(C,x),-o[1]),n(e(k,y),s[1]))),i[2]),n(t(n(e(P,A),i[1]),t(n(e(L,p),-o[1]),n(e(T,h),s[1]))),-a[2])),t(n(t(n(e(C,x),i[1]),t(n(e(L,p),-a[1]),n(e(v,f),s[1]))),o[2]),n(t(n(e(k,y),i[1]),t(n(e(T,h),-a[1]),n(e(v,f),o[1]))),-s[2]))),l[3]))))),X=e(Y,W);return X[X.length-1]}}var h=[function(){return 0},function(){return 0},function(){return 0}];function p(t){var e=h[t.length];return e||(e=h[t.length]=s(t.length)),e.apply(void 0,t)}function d(t,e,r,n,i,a,o,s){return function(e,r,l,c,u,f){switch(arguments.length){case 0:case 1:return 0;case 2:return n(e,r);case 3:return i(e,r,l);case 4:return a(e,r,l,c);case 5:return o(e,r,l,c,u);case 6:return s(e,r,l,c,u,f)}for(var h=new Array(arguments.length),p=0;p<arguments.length;++p)h[p]=arguments[p];return t(h)}}!function(){for(;h.length<=6;)h.push(s(h.length));e.exports=d.apply(void 0,[p].concat(h));for(var t=0;t<=6;++t)e.exports[t]=h[t]}()},{"robust-scale":286,"robust-subtract":288,"robust-sum":289,"two-product":306}],283:[function(t,e,r){"use strict";var n=t("robust-determinant");function i(t){var e=2===t?a:3===t?o:4===t?s:5===t?l:c;return e(t<6?n[t]:n)}function a(t){return function(e,r){return[t([[+r[0],+e[0][1]],[+r[1],+e[1][1]]]),t([[+e[0][0],+r[0]],[+e[1][0],+r[1]]]),t(e)]}}function o(t){return function(e,r){return[t([[+r[0],+e[0][1],+e[0][2]],[+r[1],+e[1][1],+e[1][2]],[+r[2],+e[2][1],+e[2][2]]]),t([[+e[0][0],+r[0],+e[0][2]],[+e[1][0],+r[1],+e[1][2]],[+e[2][0],+r[2],+e[2][2]]]),t([[+e[0][0],+e[0][1],+r[0]],[+e[1][0],+e[1][1],+r[1]],[+e[2][0],+e[2][1],+r[2]]]),t(e)]}}function s(t){return function(e,r){return[t([[+r[0],+e[0][1],+e[0][2],+e[0][3]],[+r[1],+e[1][1],+e[1][2],+e[1][3]],[+r[2],+e[2][1],+e[2][2],+e[2][3]],[+r[3],+e[3][1],+e[3][2],+e[3][3]]]),t([[+e[0][0],+r[0],+e[0][2],+e[0][3]],[+e[1][0],+r[1],+e[1][2],+e[1][3]],[+e[2][0],+r[2],+e[2][2],+e[2][3]],[+e[3][0],+r[3],+e[3][2],+e[3][3]]]),t([[+e[0][0],+e[0][1],+r[0],+e[0][3]],[+e[1][0],+e[1][1],+r[1],+e[1][3]],[+e[2][0],+e[2][1],+r[2],+e[2][3]],[+e[3][0],+e[3][1],+r[3],+e[3][3]]]),t([[+e[0][0],+e[0][1],+e[0][2],+r[0]],[+e[1][0],+e[1][1],+e[1][2],+r[1]],[+e[2][0],+e[2][1],+e[2][2],+r[2]],[+e[3][0],+e[3][1],+e[3][2],+r[3]]]),t(e)]}}function l(t){return function(e,r){return[t([[+r[0],+e[0][1],+e[0][2],+e[0][3],+e[0][4]],[+r[1],+e[1][1],+e[1][2],+e[1][3],+e[1][4]],[+r[2],+e[2][1],+e[2][2],+e[2][3],+e[2][4]],[+r[3],+e[3][1],+e[3][2],+e[3][3],+e[3][4]],[+r[4],+e[4][1],+e[4][2],+e[4][3],+e[4][4]]]),t([[+e[0][0],+r[0],+e[0][2],+e[0][3],+e[0][4]],[+e[1][0],+r[1],+e[1][2],+e[1][3],+e[1][4]],[+e[2][0],+r[2],+e[2][2],+e[2][3],+e[2][4]],[+e[3][0],+r[3],+e[3][2],+e[3][3],+e[3][4]],[+e[4][0],+r[4],+e[4][2],+e[4][3],+e[4][4]]]),t([[+e[0][0],+e[0][1],+r[0],+e[0][3],+e[0][4]],[+e[1][0],+e[1][1],+r[1],+e[1][3],+e[1][4]],[+e[2][0],+e[2][1],+r[2],+e[2][3],+e[2][4]],[+e[3][0],+e[3][1],+r[3],+e[3][3],+e[3][4]],[+e[4][0],+e[4][1],+r[4],+e[4][3],+e[4][4]]]),t([[+e[0][0],+e[0][1],+e[0][2],+r[0],+e[0][4]],[+e[1][0],+e[1][1],+e[1][2],+r[1],+e[1][4]],[+e[2][0],+e[2][1],+e[2][2],+r[2],+e[2][4]],[+e[3][0],+e[3][1],+e[3][2],+r[3],+e[3][4]],[+e[4][0],+e[4][1],+e[4][2],+r[4],+e[4][4]]]),t([[+e[0][0],+e[0][1],+e[0][2],+e[0][3],+r[0]],[+e[1][0],+e[1][1],+e[1][2],+e[1][3],+r[1]],[+e[2][0],+e[2][1],+e[2][2],+e[2][3],+r[2]],[+e[3][0],+e[3][1],+e[3][2],+e[3][3],+r[3]],[+e[4][0],+e[4][1],+e[4][2],+e[4][3],+r[4]]]),t(e)]}}function c(t){return function(e,r){return[t([[+r[0],+e[0][1],+e[0][2],+e[0][3],+e[0][4],+e[0][5]],[+r[1],+e[1][1],+e[1][2],+e[1][3],+e[1][4],+e[1][5]],[+r[2],+e[2][1],+e[2][2],+e[2][3],+e[2][4],+e[2][5]],[+r[3],+e[3][1],+e[3][2],+e[3][3],+e[3][4],+e[3][5]],[+r[4],+e[4][1],+e[4][2],+e[4][3],+e[4][4],+e[4][5]],[+r[5],+e[5][1],+e[5][2],+e[5][3],+e[5][4],+e[5][5]]]),t([[+e[0][0],+r[0],+e[0][2],+e[0][3],+e[0][4],+e[0][5]],[+e[1][0],+r[1],+e[1][2],+e[1][3],+e[1][4],+e[1][5]],[+e[2][0],+r[2],+e[2][2],+e[2][3],+e[2][4],+e[2][5]],[+e[3][0],+r[3],+e[3][2],+e[3][3],+e[3][4],+e[3][5]],[+e[4][0],+r[4],+e[4][2],+e[4][3],+e[4][4],+e[4][5]],[+e[5][0],+r[5],+e[5][2],+e[5][3],+e[5][4],+e[5][5]]]),t([[+e[0][0],+e[0][1],+r[0],+e[0][3],+e[0][4],+e[0][5]],[+e[1][0],+e[1][1],+r[1],+e[1][3],+e[1][4],+e[1][5]],[+e[2][0],+e[2][1],+r[2],+e[2][3],+e[2][4],+e[2][5]],[+e[3][0],+e[3][1],+r[3],+e[3][3],+e[3][4],+e[3][5]],[+e[4][0],+e[4][1],+r[4],+e[4][3],+e[4][4],+e[4][5]],[+e[5][0],+e[5][1],+r[5],+e[5][3],+e[5][4],+e[5][5]]]),t([[+e[0][0],+e[0][1],+e[0][2],+r[0],+e[0][4],+e[0][5]],[+e[1][0],+e[1][1],+e[1][2],+r[1],+e[1][4],+e[1][5]],[+e[2][0],+e[2][1],+e[2][2],+r[2],+e[2][4],+e[2][5]],[+e[3][0],+e[3][1],+e[3][2],+r[3],+e[3][4],+e[3][5]],[+e[4][0],+e[4][1],+e[4][2],+r[4],+e[4][4],+e[4][5]],[+e[5][0],+e[5][1],+e[5][2],+r[5],+e[5][4],+e[5][5]]]),t([[+e[0][0],+e[0][1],+e[0][2],+e[0][3],+r[0],+e[0][5]],[+e[1][0],+e[1][1],+e[1][2],+e[1][3],+r[1],+e[1][5]],[+e[2][0],+e[2][1],+e[2][2],+e[2][3],+r[2],+e[2][5]],[+e[3][0],+e[3][1],+e[3][2],+e[3][3],+r[3],+e[3][5]],[+e[4][0],+e[4][1],+e[4][2],+e[4][3],+r[4],+e[4][5]],[+e[5][0],+e[5][1],+e[5][2],+e[5][3],+r[5],+e[5][5]]]),t([[+e[0][0],+e[0][1],+e[0][2],+e[0][3],+e[0][4],+r[0]],[+e[1][0],+e[1][1],+e[1][2],+e[1][3],+e[1][4],+r[1]],[+e[2][0],+e[2][1],+e[2][2],+e[2][3],+e[2][4],+r[2]],[+e[3][0],+e[3][1],+e[3][2],+e[3][3],+e[3][4],+r[3]],[+e[4][0],+e[4][1],+e[4][2],+e[4][3],+e[4][4],+r[4]],[+e[5][0],+e[5][1],+e[5][2],+e[5][3],+e[5][4],+r[5]]]),t(e)]}}var u=[function(){return[[0]]},function(t,e){return[[e[0]],[t[0][0]]]}];function f(t,e,r,n,i,a,o,s){return function(l,c){switch(l.length){case 0:return t(l,c);case 1:return e(l,c);case 2:return r(l,c);case 3:return n(l,c);case 4:return i(l,c);case 5:return a(l,c)}var u=o[l.length];return u||(u=o[l.length]=s(l.length)),u(l,c)}}!function(){for(;u.length<6;)u.push(i(u.length));e.exports=f.apply(void 0,u.concat([u,i]));for(var t=0;t<6;++t)e.exports[t]=u[t]}()},{"robust-determinant":280}],284:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum"),a=t("robust-scale"),o=t("robust-subtract");function s(t,e,r,n){return function(r,i,a){var o=t(t(e(i[1],a[0]),e(-a[1],i[0])),t(e(r[1],i[0]),e(-i[1],r[0]))),s=t(e(r[1],a[0]),e(-a[1],r[0])),l=n(o,s);return l[l.length-1]}}function l(t,e,r,n){return function(i,a,o,s){var l=t(t(r(t(e(o[1],s[0]),e(-s[1],o[0])),a[2]),t(r(t(e(a[1],s[0]),e(-s[1],a[0])),-o[2]),r(t(e(a[1],o[0]),e(-o[1],a[0])),s[2]))),t(r(t(e(a[1],s[0]),e(-s[1],a[0])),i[2]),t(r(t(e(i[1],s[0]),e(-s[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),s[2])))),c=t(t(r(t(e(o[1],s[0]),e(-s[1],o[0])),i[2]),t(r(t(e(i[1],s[0]),e(-s[1],i[0])),-o[2]),r(t(e(i[1],o[0]),e(-o[1],i[0])),s[2]))),t(r(t(e(a[1],o[0]),e(-o[1],a[0])),i[2]),t(r(t(e(i[1],o[0]),e(-o[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),o[2])))),u=n(l,c);return u[u.length-1]}}function c(t,e,r,n){return function(i,a,o,s,l){var c=t(t(t(r(t(r(t(e(s[1],l[0]),e(-l[1],s[0])),o[2]),t(r(t(e(o[1],l[0]),e(-l[1],o[0])),-s[2]),r(t(e(o[1],s[0]),e(-s[1],o[0])),l[2]))),a[3]),t(r(t(r(t(e(s[1],l[0]),e(-l[1],s[0])),a[2]),t(r(t(e(a[1],l[0]),e(-l[1],a[0])),-s[2]),r(t(e(a[1],s[0]),e(-s[1],a[0])),l[2]))),-o[3]),r(t(r(t(e(o[1],l[0]),e(-l[1],o[0])),a[2]),t(r(t(e(a[1],l[0]),e(-l[1],a[0])),-o[2]),r(t(e(a[1],o[0]),e(-o[1],a[0])),l[2]))),s[3]))),t(r(t(r(t(e(o[1],s[0]),e(-s[1],o[0])),a[2]),t(r(t(e(a[1],s[0]),e(-s[1],a[0])),-o[2]),r(t(e(a[1],o[0]),e(-o[1],a[0])),s[2]))),-l[3]),t(r(t(r(t(e(s[1],l[0]),e(-l[1],s[0])),a[2]),t(r(t(e(a[1],l[0]),e(-l[1],a[0])),-s[2]),r(t(e(a[1],s[0]),e(-s[1],a[0])),l[2]))),i[3]),r(t(r(t(e(s[1],l[0]),e(-l[1],s[0])),i[2]),t(r(t(e(i[1],l[0]),e(-l[1],i[0])),-s[2]),r(t(e(i[1],s[0]),e(-s[1],i[0])),l[2]))),-a[3])))),t(t(r(t(r(t(e(a[1],l[0]),e(-l[1],a[0])),i[2]),t(r(t(e(i[1],l[0]),e(-l[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),l[2]))),s[3]),t(r(t(r(t(e(a[1],s[0]),e(-s[1],a[0])),i[2]),t(r(t(e(i[1],s[0]),e(-s[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),s[2]))),-l[3]),r(t(r(t(e(o[1],s[0]),e(-s[1],o[0])),a[2]),t(r(t(e(a[1],s[0]),e(-s[1],a[0])),-o[2]),r(t(e(a[1],o[0]),e(-o[1],a[0])),s[2]))),i[3]))),t(r(t(r(t(e(o[1],s[0]),e(-s[1],o[0])),i[2]),t(r(t(e(i[1],s[0]),e(-s[1],i[0])),-o[2]),r(t(e(i[1],o[0]),e(-o[1],i[0])),s[2]))),-a[3]),t(r(t(r(t(e(a[1],s[0]),e(-s[1],a[0])),i[2]),t(r(t(e(i[1],s[0]),e(-s[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),s[2]))),o[3]),r(t(r(t(e(a[1],o[0]),e(-o[1],a[0])),i[2]),t(r(t(e(i[1],o[0]),e(-o[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),o[2]))),-s[3]))))),u=t(t(t(r(t(r(t(e(s[1],l[0]),e(-l[1],s[0])),o[2]),t(r(t(e(o[1],l[0]),e(-l[1],o[0])),-s[2]),r(t(e(o[1],s[0]),e(-s[1],o[0])),l[2]))),i[3]),r(t(r(t(e(s[1],l[0]),e(-l[1],s[0])),i[2]),t(r(t(e(i[1],l[0]),e(-l[1],i[0])),-s[2]),r(t(e(i[1],s[0]),e(-s[1],i[0])),l[2]))),-o[3])),t(r(t(r(t(e(o[1],l[0]),e(-l[1],o[0])),i[2]),t(r(t(e(i[1],l[0]),e(-l[1],i[0])),-o[2]),r(t(e(i[1],o[0]),e(-o[1],i[0])),l[2]))),s[3]),r(t(r(t(e(o[1],s[0]),e(-s[1],o[0])),i[2]),t(r(t(e(i[1],s[0]),e(-s[1],i[0])),-o[2]),r(t(e(i[1],o[0]),e(-o[1],i[0])),s[2]))),-l[3]))),t(t(r(t(r(t(e(o[1],l[0]),e(-l[1],o[0])),a[2]),t(r(t(e(a[1],l[0]),e(-l[1],a[0])),-o[2]),r(t(e(a[1],o[0]),e(-o[1],a[0])),l[2]))),i[3]),r(t(r(t(e(o[1],l[0]),e(-l[1],o[0])),i[2]),t(r(t(e(i[1],l[0]),e(-l[1],i[0])),-o[2]),r(t(e(i[1],o[0]),e(-o[1],i[0])),l[2]))),-a[3])),t(r(t(r(t(e(a[1],l[0]),e(-l[1],a[0])),i[2]),t(r(t(e(i[1],l[0]),e(-l[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),l[2]))),o[3]),r(t(r(t(e(a[1],o[0]),e(-o[1],a[0])),i[2]),t(r(t(e(i[1],o[0]),e(-o[1],i[0])),-a[2]),r(t(e(i[1],a[0]),e(-a[1],i[0])),o[2]))),-l[3])))),f=n(c,u);return f[f.length-1]}}function u(t){return(3===t?s:4===t?l:c)(i,n,a,o)}var f=u(3),h=u(4),p=[function(){return 0},function(){return 0},function(t,e){return e[0]-t[0]},function(t,e,r){var n,i=(t[1]-r[1])*(e[0]-r[0]),a=(t[0]-r[0])*(e[1]-r[1]),o=i-a;if(i>0){if(a<=0)return o;n=i+a}else{if(!(i<0))return o;if(a>=0)return o;n=-(i+a)}var s=33306690738754716e-32*n;return o>=s||o<=-s?o:f(t,e,r)},function(t,e,r,n){var i=t[0]-n[0],a=e[0]-n[0],o=r[0]-n[0],s=t[1]-n[1],l=e[1]-n[1],c=r[1]-n[1],u=t[2]-n[2],f=e[2]-n[2],p=r[2]-n[2],d=a*c,m=o*l,g=o*s,v=i*c,y=i*l,x=a*s,b=u*(d-m)+f*(g-v)+p*(y-x),_=7771561172376103e-31*((Math.abs(d)+Math.abs(m))*Math.abs(u)+(Math.abs(g)+Math.abs(v))*Math.abs(f)+(Math.abs(y)+Math.abs(x))*Math.abs(p));return b>_||-b>_?b:h(t,e,r,n)}];function d(t){var e=p[t.length];return e||(e=p[t.length]=u(t.length)),e.apply(void 0,t)}function m(t,e,r,n,i,a,o){return function(e,r,s,l,c){switch(arguments.length){case 0:case 1:return 0;case 2:return n(e,r);case 3:return i(e,r,s);case 4:return a(e,r,s,l);case 5:return o(e,r,s,l,c)}for(var u=new Array(arguments.length),f=0;f<arguments.length;++f)u[f]=arguments[f];return t(u)}}!function(){for(;p.length<=5;)p.push(u(p.length));e.exports=m.apply(void 0,[d].concat(p));for(var t=0;t<=5;++t)e.exports[t]=p[t]}()},{"robust-scale":286,"robust-subtract":288,"robust-sum":289,"two-product":306}],285:[function(t,e,r){"use strict";var n=t("robust-sum"),i=t("robust-scale");e.exports=function(t,e){if(1===t.length)return i(e,t[0]);if(1===e.length)return i(t,e[0]);if(0===t.length||0===e.length)return[0];var r=[0];if(t.length<e.length)for(var a=0;a<t.length;++a)r=n(r,i(e,t[a]));else for(a=0;a<e.length;++a)r=n(r,i(t,e[a]));return r}},{"robust-scale":286,"robust-sum":289}],286:[function(t,e,r){"use strict";var n=t("two-product"),i=t("two-sum");e.exports=function(t,e){var r=t.length;if(1===r){var a=n(t[0],e);return a[0]?a:[a[1]]}var o=new Array(2*r),s=[.1,.1],l=[.1,.1],c=0;n(t[0],e,s),s[0]&&(o[c++]=s[0]);for(var u=1;u<r;++u){n(t[u],e,l);var f=s[1];i(f,l[0],s),s[0]&&(o[c++]=s[0]);var h=l[1],p=s[1],d=h+p,m=p-(d-h);s[1]=d,m&&(o[c++]=m)}s[1]&&(o[c++]=s[1]);0===c&&(o[c++]=0);return o.length=c,o}},{"two-product":306,"two-sum":307}],287:[function(t,e,r){"use strict";e.exports=function(t,e,r,i){var a=n(t,r,i),o=n(e,r,i);if(a>0&&o>0||a<0&&o<0)return!1;var s=n(r,t,e),l=n(i,t,e);if(s>0&&l>0||s<0&&l<0)return!1;if(0===a&&0===o&&0===s&&0===l)return function(t,e,r,n){for(var i=0;i<2;++i){var a=t[i],o=e[i],s=Math.min(a,o),l=Math.max(a,o),c=r[i],u=n[i],f=Math.min(c,u);if(Math.max(c,u)<s||l<f)return!1}return!0}(t,e,r,i);return!0};var n=t("robust-orientation")[3]},{"robust-orientation":284}],288:[function(t,e,r){"use strict";e.exports=function(t,e){var r=0|t.length,n=0|e.length;if(1===r&&1===n)return function(t,e){var r=t+e,n=r-t,i=t-(r-n)+(e-n);if(i)return[i,r];return[r]}(t[0],-e[0]);var i,a,o=new Array(r+n),s=0,l=0,c=0,u=Math.abs,f=t[l],h=u(f),p=-e[c],d=u(p);h<d?(a=f,(l+=1)<r&&(f=t[l],h=u(f))):(a=p,(c+=1)<n&&(p=-e[c],d=u(p)));l<r&&h<d||c>=n?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=-e[c],d=u(p)));var m,g,v=i+a,y=v-i,x=a-y,b=x,_=v;for(;l<r&&c<n;)h<d?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=-e[c],d=u(p))),(x=(a=b)-(y=(v=i+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m;for(;l<r;)(x=(a=b)-(y=(v=(i=f)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(l+=1)<r&&(f=t[l]);for(;c<n;)(x=(a=b)-(y=(v=(i=p)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(c+=1)<n&&(p=-e[c]);b&&(o[s++]=b);_&&(o[s++]=_);s||(o[s++]=0);return o.length=s,o}},{}],289:[function(t,e,r){"use strict";e.exports=function(t,e){var r=0|t.length,n=0|e.length;if(1===r&&1===n)return function(t,e){var r=t+e,n=r-t,i=t-(r-n)+(e-n);if(i)return[i,r];return[r]}(t[0],e[0]);var i,a,o=new Array(r+n),s=0,l=0,c=0,u=Math.abs,f=t[l],h=u(f),p=e[c],d=u(p);h<d?(a=f,(l+=1)<r&&(f=t[l],h=u(f))):(a=p,(c+=1)<n&&(p=e[c],d=u(p)));l<r&&h<d||c>=n?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=e[c],d=u(p)));var m,g,v=i+a,y=v-i,x=a-y,b=x,_=v;for(;l<r&&c<n;)h<d?(i=f,(l+=1)<r&&(f=t[l],h=u(f))):(i=p,(c+=1)<n&&(p=e[c],d=u(p))),(x=(a=b)-(y=(v=i+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m;for(;l<r;)(x=(a=b)-(y=(v=(i=f)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(l+=1)<r&&(f=t[l]);for(;c<n;)(x=(a=b)-(y=(v=(i=p)+a)-i))&&(o[s++]=x),b=_-((m=_+v)-(g=m-_))+(v-g),_=m,(c+=1)<n&&(p=e[c]);b&&(o[s++]=b);_&&(o[s++]=_);s||(o[s++]=0);return o.length=s,o}},{}],290:[function(t,e,r){"use strict";e.exports=function(t){return i(n(t))};var n=t("boundary-cells"),i=t("reduce-simplicial-complex")},{"boundary-cells":34,"reduce-simplicial-complex":276}],291:[function(t,e,r){"use strict";e.exports=function(t,e,r,s){r=r||0,void 0===s&&(s=function(t){for(var e=t.length,r=0,n=0;n<e;++n)r=0|Math.max(r,t[n].length);return r-1}(t));if(0===t.length||s<1)return{cells:[],vertexIds:[],vertexWeights:[]};var l=function(t,e){for(var r=t.length,n=i.mallocUint8(r),a=0;a<r;++a)n[a]=t[a]<e|0;return n}(e,+r),c=function(t,e){for(var r=t.length,o=e*(e+1)/2*r|0,s=i.mallocUint32(2*o),l=0,c=0;c<r;++c)for(var u=t[c],f=(e=u.length,0);f<e;++f)for(var h=0;h<f;++h){var p=u[h],d=u[f];s[l++]=0|Math.min(p,d),s[l++]=0|Math.max(p,d)}a(n(s,[l/2|0,2]));var m=2;for(c=2;c<l;c+=2)s[c-2]===s[c]&&s[c-1]===s[c+1]||(s[m++]=s[c],s[m++]=s[c+1]);return n(s,[m/2|0,2])}(t,s),u=function(t,e,r,a){for(var o=t.data,s=t.shape[0],l=i.mallocDouble(s),c=0,u=0;u<s;++u){var f=o[2*u],h=o[2*u+1];if(r[f]!==r[h]){var p=e[f],d=e[h];o[2*c]=f,o[2*c+1]=h,l[c++]=(d-a)/(d-p)}}return t.shape[0]=c,n(l,[c])}(c,e,l,+r),f=function(t,e){var r=i.mallocInt32(2*e),n=t.shape[0],a=t.data;r[0]=0;for(var o=0,s=0;s<n;++s){var l=a[2*s];if(l!==o){for(r[2*o+1]=s;++o<l;)r[2*o]=s,r[2*o+1]=s;r[2*o]=s}}r[2*o+1]=n;for(;++o<e;)r[2*o]=r[2*o+1]=n;return r}(c,0|e.length),h=o(s)(t,c.data,f,l),p=function(t){for(var e=0|t.shape[0],r=t.data,n=new Array(e),i=0;i<e;++i)n[i]=[r[2*i],r[2*i+1]];return n}(c),d=[].slice.call(u.data,0,u.shape[0]);return i.free(l),i.free(c.data),i.free(u.data),i.free(f),{cells:h,vertexIds:p,vertexWeights:d}};var n=t("ndarray"),i=t("typedarray-pool"),a=t("ndarray-sort"),o=t("./lib/codegen")},{"./lib/codegen":292,ndarray:259,"ndarray-sort":258,"typedarray-pool":308}],292:[function(t,e,r){"use strict";e.exports=function(t){return n[t]()};var n=[function(){return function(t,e,r,n){for(var i=t.length,a=0;a<i;++a)t[a].length;return[]}},function(){function t(t,e,r,n){for(var i=0|Math.min(r,n),a=0|Math.max(r,n),o=t[2*i],s=t[2*i+1];o<s;){var l=o+s>>1,c=e[2*l+1];if(c===a)return l;a<c?s=l:o=l+1}return o}return function(e,r,n,i){for(var a=e.length,o=[],s=0;s<a;++s){var l=e[s];if(2===l.length){var c=(i[l[0]]<<0)+(i[l[1]]<<1);if(0===c||3===c)continue;switch(c){case 0:break;case 1:o.push([t(n,r,l[0],l[1])]);break;case 2:o.push([t(n,r,l[1],l[0])])}}}return o}},function(){function t(t,e,r,n){for(var i=0|Math.min(r,n),a=0|Math.max(r,n),o=t[2*i],s=t[2*i+1];o<s;){var l=o+s>>1,c=e[2*l+1];if(c===a)return l;a<c?s=l:o=l+1}return o}return function(e,r,n,i){for(var a=e.length,o=[],s=0;s<a;++s){var l=e[s],c=l.length;if(3===c){if(0===(u=(i[l[0]]<<0)+(i[l[1]]<<1)+(i[l[2]]<<2))||7===u)continue;switch(u){case 0:break;case 1:o.push([t(n,r,l[0],l[2]),t(n,r,l[0],l[1])]);break;case 2:o.push([t(n,r,l[1],l[0]),t(n,r,l[1],l[2])]);break;case 3:o.push([t(n,r,l[0],l[2]),t(n,r,l[1],l[2])]);break;case 4:o.push([t(n,r,l[2],l[1]),t(n,r,l[2],l[0])]);break;case 5:o.push([t(n,r,l[2],l[1]),t(n,r,l[0],l[1])]);break;case 6:o.push([t(n,r,l[1],l[0]),t(n,r,l[2],l[0])])}}else if(2===c){var u;if(0===(u=(i[l[0]]<<0)+(i[l[1]]<<1))||3===u)continue;switch(u){case 0:break;case 1:o.push([t(n,r,l[0],l[1])]);break;case 2:o.push([t(n,r,l[1],l[0])])}}}return o}},function(){function t(t,e,r,n){for(var i=0|Math.min(r,n),a=0|Math.max(r,n),o=t[2*i],s=t[2*i+1];o<s;){var l=o+s>>1,c=e[2*l+1];if(c===a)return l;a<c?s=l:o=l+1}return o}return function(e,r,n,i){for(var a=e.length,o=[],s=0;s<a;++s){var l=e[s],c=l.length;if(4===c){if(0===(u=(i[l[0]]<<0)+(i[l[1]]<<1)+(i[l[2]]<<2)+(i[l[3]]<<3))||15===u)continue;switch(u){case 0:break;case 1:o.push([t(n,r,l[0],l[1]),t(n,r,l[0],l[2]),t(n,r,l[0],l[3])]);break;case 2:o.push([t(n,r,l[1],l[2]),t(n,r,l[1],l[0]),t(n,r,l[1],l[3])]);break;case 3:o.push([t(n,r,l[1],l[2]),t(n,r,l[0],l[2]),t(n,r,l[0],l[3])],[t(n,r,l[1],l[3]),t(n,r,l[1],l[2]),t(n,r,l[0],l[3])]);break;case 4:o.push([t(n,r,l[2],l[0]),t(n,r,l[2],l[1]),t(n,r,l[2],l[3])]);break;case 5:o.push([t(n,r,l[0],l[1]),t(n,r,l[2],l[1]),t(n,r,l[0],l[3])],[t(n,r,l[2],l[1]),t(n,r,l[2],l[3]),t(n,r,l[0],l[3])]);break;case 6:o.push([t(n,r,l[2],l[0]),t(n,r,l[1],l[0]),t(n,r,l[1],l[3])],[t(n,r,l[2],l[3]),t(n,r,l[2],l[0]),t(n,r,l[1],l[3])]);break;case 7:o.push([t(n,r,l[0],l[3]),t(n,r,l[1],l[3]),t(n,r,l[2],l[3])]);break;case 8:o.push([t(n,r,l[3],l[1]),t(n,r,l[3],l[0]),t(n,r,l[3],l[2])]);break;case 9:o.push([t(n,r,l[3],l[1]),t(n,r,l[0],l[1]),t(n,r,l[0],l[2])],[t(n,r,l[3],l[2]),t(n,r,l[3],l[1]),t(n,r,l[0],l[2])]);break;case 10:o.push([t(n,r,l[1],l[0]),t(n,r,l[3],l[0]),t(n,r,l[1],l[2])],[t(n,r,l[3],l[0]),t(n,r,l[3],l[2]),t(n,r,l[1],l[2])]);break;case 11:o.push([t(n,r,l[1],l[2]),t(n,r,l[0],l[2]),t(n,r,l[3],l[2])]);break;case 12:o.push([t(n,r,l[3],l[0]),t(n,r,l[2],l[0]),t(n,r,l[2],l[1])],[t(n,r,l[3],l[1]),t(n,r,l[3],l[0]),t(n,r,l[2],l[1])]);break;case 13:o.push([t(n,r,l[0],l[1]),t(n,r,l[2],l[1]),t(n,r,l[3],l[1])]);break;case 14:o.push([t(n,r,l[2],l[0]),t(n,r,l[1],l[0]),t(n,r,l[3],l[0])])}}else if(3===c){if(0===(u=(i[l[0]]<<0)+(i[l[1]]<<1)+(i[l[2]]<<2))||7===u)continue;switch(u){case 0:break;case 1:o.push([t(n,r,l[0],l[2]),t(n,r,l[0],l[1])]);break;case 2:o.push([t(n,r,l[1],l[0]),t(n,r,l[1],l[2])]);break;case 3:o.push([t(n,r,l[0],l[2]),t(n,r,l[1],l[2])]);break;case 4:o.push([t(n,r,l[2],l[1]),t(n,r,l[2],l[0])]);break;case 5:o.push([t(n,r,l[2],l[1]),t(n,r,l[0],l[1])]);break;case 6:o.push([t(n,r,l[1],l[0]),t(n,r,l[2],l[0])])}}else if(2===c){var u;if(0===(u=(i[l[0]]<<0)+(i[l[1]]<<1))||3===u)continue;switch(u){case 0:break;case 1:o.push([t(n,r,l[0],l[1])]);break;case 2:o.push([t(n,r,l[1],l[0])])}}}return o}}]},{}],293:[function(t,e,r){"use strict";var n=t("bit-twiddle"),i=t("union-find");function a(t,e){var r=t.length,n=t.length-e.length,i=Math.min;if(n)return n;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return(s=t[0]+t[1]-e[0]-e[1])||i(t[0],t[1])-i(e[0],e[1]);case 3:var a=t[0]+t[1],o=e[0]+e[1];if(s=a+t[2]-(o+e[2]))return s;var s,l=i(t[0],t[1]),c=i(e[0],e[1]);return(s=i(l,t[2])-i(c,e[2]))||i(l+t[2],a)-i(c+e[2],o);default:var u=t.slice(0);u.sort();var f=e.slice(0);f.sort();for(var h=0;h<r;++h)if(n=u[h]-f[h])return n;return 0}}function o(t,e){return a(t[0],e[0])}function s(t,e){if(e){for(var r=t.length,n=new Array(r),i=0;i<r;++i)n[i]=[t[i],e[i]];n.sort(o);for(i=0;i<r;++i)t[i]=n[i][0],e[i]=n[i][1];return t}return t.sort(a),t}function l(t){if(0===t.length)return[];for(var e=1,r=t.length,n=1;n<r;++n){var i=t[n];if(a(i,t[n-1])){if(n===e){e++;continue}t[e++]=i}}return t.length=e,t}function c(t,e){for(var r=0,n=t.length-1,i=-1;r<=n;){var o=r+n>>1,s=a(t[o],e);s<=0?(0===s&&(i=o),r=o+1):s>0&&(n=o-1)}return i}function u(t,e){for(var r=new Array(t.length),i=0,o=r.length;i<o;++i)r[i]=[];for(var s=[],l=(i=0,e.length);i<l;++i)for(var u=e[i],f=u.length,h=1,p=1<<f;h<p;++h){s.length=n.popCount(h);for(var d=0,m=0;m<f;++m)h&1<<m&&(s[d++]=u[m]);var g=c(t,s);if(!(g<0))for(;r[g++].push(i),!(g>=t.length||0!==a(t[g],s)););}return r}function f(t,e){if(e<0)return[];for(var r=[],i=(1<<e+1)-1,a=0;a<t.length;++a)for(var o=t[a],l=i;l<1<<o.length;l=n.nextCombination(l)){for(var c=new Array(e+1),u=0,f=0;f<o.length;++f)l&1<<f&&(c[u++]=o[f]);r.push(c)}return s(r)}r.dimension=function(t){for(var e=0,r=Math.max,n=0,i=t.length;n<i;++n)e=r(e,t[n].length);return e-1},r.countVertices=function(t){for(var e=-1,r=Math.max,n=0,i=t.length;n<i;++n)for(var a=t[n],o=0,s=a.length;o<s;++o)e=r(e,a[o]);return e+1},r.cloneCells=function(t){for(var e=new Array(t.length),r=0,n=t.length;r<n;++r)e[r]=t[r].slice(0);return e},r.compareCells=a,r.normalize=s,r.unique=l,r.findCell=c,r.incidence=u,r.dual=function(t,e){if(!e)return u(l(f(t,0)),t);for(var r=new Array(e),n=0;n<e;++n)r[n]=[];n=0;for(var i=t.length;n<i;++n)for(var a=t[n],o=0,s=a.length;o<s;++o)r[a[o]].push(n);return r},r.explode=function(t){for(var e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0|i.length,o=1,l=1<<a;o<l;++o){for(var c=[],u=0;u<a;++u)o>>>u&1&&c.push(i[u]);e.push(c)}return s(e)},r.skeleton=f,r.boundary=function(t){for(var e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;++a){for(var l=new Array(i.length-1),c=0,u=0;c<o;++c)c!==a&&(l[u++]=i[c]);e.push(l)}return s(e)},r.connectedComponents=function(t,e){return e?function(t,e){for(var r=new i(e),n=0;n<t.length;++n)for(var a=t[n],o=0;o<a.length;++o)for(var s=o+1;s<a.length;++s)r.link(a[o],a[s]);var l=[],c=r.ranks;for(n=0;n<c.length;++n)c[n]=-1;for(n=0;n<t.length;++n){var u=r.find(t[n][0]);c[u]<0?(c[u]=l.length,l.push([t[n].slice(0)])):l[c[u]].push(t[n].slice(0))}return l}(t,e):function(t){for(var e=l(s(f(t,0))),r=new i(e.length),n=0;n<t.length;++n)for(var a=t[n],o=0;o<a.length;++o)for(var u=c(e,[a[o]]),h=o+1;h<a.length;++h)r.link(u,c(e,[a[h]]));var p=[],d=r.ranks;for(n=0;n<d.length;++n)d[n]=-1;for(n=0;n<t.length;++n){var m=r.find(c(e,[t[n][0]]));d[m]<0?(d[m]=p.length,p.push([t[n].slice(0)])):p[d[m]].push(t[n].slice(0))}return p}(t)}},{"bit-twiddle":32,"union-find":309}],294:[function(t,e,r){arguments[4][32][0].apply(r,arguments)},{dup:32}],295:[function(t,e,r){arguments[4][293][0].apply(r,arguments)},{"bit-twiddle":294,dup:293,"union-find":296}],296:[function(t,e,r){"use strict";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n,n.prototype.length=function(){return this.roots.length},n.prototype.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},n.prototype.find=function(t){for(var e=this.roots;e[t]!==t;){var r=e[t];e[t]=e[r],t=r}return t},n.prototype.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],297:[function(t,e,r){"use strict";e.exports=function(t,e,r){for(var a=e.length,o=t.length,s=new Array(a),l=new Array(a),c=new Array(a),u=new Array(a),f=0;f<a;++f)s[f]=l[f]=-1,c[f]=1/0,u[f]=!1;for(f=0;f<o;++f){var h=t[f];if(2!==h.length)throw new Error("Input must be a graph");var p=h[1],d=h[0];-1!==l[d]?l[d]=-2:l[d]=p,-1!==s[p]?s[p]=-2:s[p]=d}function m(t){if(u[t])return 1/0;var r,i,a,o,c,f=s[t],h=l[t];return f<0||h<0?1/0:(r=e[t],i=e[f],a=e[h],o=Math.abs(n(r,i,a)),c=Math.sqrt(Math.pow(i[0]-a[0],2)+Math.pow(i[1]-a[1],2)),o/c)}function g(t,e){var r=k[t],n=k[e];k[t]=n,k[e]=r,A[r]=e,A[n]=t}function v(t){return c[k[t]]}function y(t){return 1&t?t-1>>1:(t>>1)-1}function x(t){for(var e=v(t);;){var r=e,n=2*t+1,i=2*(t+1),a=t;if(n<M){var o=v(n);o<r&&(a=n,r=o)}if(i<M)v(i)<r&&(a=i);if(a===t)return t;g(t,a),t=a}}function b(t){for(var e=v(t);t>0;){var r=y(t);if(r>=0)if(e<v(r)){g(t,r),t=r;continue}return t}}function _(){if(M>0){var t=k[0];return g(0,M-1),M-=1,x(0),t}return-1}function w(t,e){var r=k[t];return c[r]===e?t:(c[r]=-1/0,b(t),_(),c[r]=e,b((M+=1)-1))}function T(t){if(!u[t]){u[t]=!0;var e=s[t],r=l[t];s[r]>=0&&(s[r]=e),l[e]>=0&&(l[e]=r),A[e]>=0&&w(A[e],m(e)),A[r]>=0&&w(A[r],m(r))}}var k=[],A=new Array(a);for(f=0;f<a;++f){(c[f]=m(f))<1/0?(A[f]=k.length,k.push(f)):A[f]=-1}var M=k.length;for(f=M>>1;f>=0;--f)x(f);for(;;){var S=_();if(S<0||c[S]>r)break;T(S)}var E=[];for(f=0;f<a;++f)u[f]||(A[f]=E.length,E.push(e[f].slice()));E.length;function L(t,e){if(t[e]<0)return e;var r=e,n=e;do{var i=t[n];if(!u[n]||i<0||i===n)break;if(i=t[n=i],!u[n]||i<0||i===n)break;n=i,r=t[r]}while(r!==n);for(var a=e;a!==n;a=t[a])t[a]=n;return n}var C=[];return t.forEach((function(t){var e=L(s,t[0]),r=L(l,t[1]);if(e>=0&&r>=0&&e!==r){var n=A[e],i=A[r];n!==i&&C.push([n,i])}})),i.unique(i.normalize(C)),{positions:E,edges:C}};var n=t("robust-orientation"),i=t("simplicial-complex")},{"robust-orientation":284,"simplicial-complex":295}],298:[function(t,e,r){"use strict";e.exports=function(t,e){var r,a,o,s;if(e[0][0]<e[1][0])r=e[0],a=e[1];else{if(!(e[0][0]>e[1][0]))return i(e,t);r=e[1],a=e[0]}if(t[0][0]<t[1][0])o=t[0],s=t[1];else{if(!(t[0][0]>t[1][0]))return-i(t,e);o=t[1],s=t[0]}var l=n(r,a,s),c=n(r,a,o);if(l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;if(l=n(s,o,a),c=n(s,o,r),l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;return a[0]-s[0]};var n=t("robust-orientation");function i(t,e){var r,i,a,o;if(e[0][0]<e[1][0])r=e[0],i=e[1];else{if(!(e[0][0]>e[1][0])){var s=Math.min(t[0][1],t[1][1]),l=Math.max(t[0][1],t[1][1]),c=Math.min(e[0][1],e[1][1]),u=Math.max(e[0][1],e[1][1]);return l<c?l-c:s>u?s-u:l-u}r=e[1],i=e[0]}t[0][1]<t[1][1]?(a=t[0],o=t[1]):(a=t[1],o=t[0]);var f=n(i,r,a);return f||((f=n(i,r,o))||o-i)}},{"robust-orientation":284}],299:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.length,r=2*e,n=new Array(r),a=0;a<e;++a){var l=t[a],c=l[0][0]<l[1][0];n[2*a]=new f(l[0][0],l,c,a),n[2*a+1]=new f(l[1][0],l,!c,a)}n.sort((function(t,e){var r=t.x-e.x;return r||((r=t.create-e.create)||Math.min(t.segment[0][1],t.segment[1][1])-Math.min(e.segment[0][1],e.segment[1][1]))}));var h=i(o),p=[],d=[],m=[];for(a=0;a<r;){for(var g=n[a].x,v=[];a<r;){var y=n[a];if(y.x!==g)break;a+=1,y.segment[0][0]===y.x&&y.segment[1][0]===y.x?y.create&&(y.segment[0][1]<y.segment[1][1]?(v.push(new u(y.segment[0][1],y.index,!0,!0)),v.push(new u(y.segment[1][1],y.index,!1,!1))):(v.push(new u(y.segment[1][1],y.index,!0,!1)),v.push(new u(y.segment[0][1],y.index,!1,!0)))):h=y.create?h.insert(y.segment,y.index):h.remove(y.segment)}p.push(h.root),d.push(g),m.push(v)}return new s(p,d,m)};var n=t("binary-search-bounds"),i=t("functional-red-black-tree"),a=t("robust-orientation"),o=t("./lib/order-segments");function s(t,e,r){this.slabs=t,this.coordinates=e,this.horizontal=r}function l(t,e){return t.y-e}function c(t,e){for(var r=null;t;){var n,i,o=t.key;o[0][0]<o[1][0]?(n=o[0],i=o[1]):(n=o[1],i=o[0]);var s=a(n,i,e);if(s<0)t=t.left;else if(s>0)if(e[0]!==o[1][0])r=t,t=t.right;else{if(l=c(t.right,e))return l;t=t.left}else{if(e[0]!==o[1][0])return t;var l;if(l=c(t.right,e))return l;t=t.left}}return r}function u(t,e,r,n){this.y=t,this.index=e,this.start=r,this.closed=n}function f(t,e,r,n){this.x=t,this.segment=e,this.create=r,this.index=n}s.prototype.castUp=function(t){var e=n.le(this.coordinates,t[0]);if(e<0)return-1;this.slabs[e];var r=c(this.slabs[e],t),i=-1;if(r&&(i=r.value),this.coordinates[e]===t[0]){var s=null;if(r&&(s=r.key),e>0){var u=c(this.slabs[e-1],t);u&&(s?o(u.key,s)>0&&(s=u.key,i=u.value):(i=u.value,s=u.key))}var f=this.horizontal[e];if(f.length>0){var h=n.ge(f,t[1],l);if(h<f.length){var p=f[h];if(t[1]===p.y){if(p.closed)return p.index;for(;h<f.length-1&&f[h+1].y===t[1];)if((p=f[h+=1]).closed)return p.index;if(p.y===t[1]&&!p.start){if((h+=1)>=f.length)return i;p=f[h]}}if(p.start)if(s){var d=a(s[0],s[1],[t[0],p.y]);s[0][0]>s[1][0]&&(d=-d),d>0&&(i=p.index)}else i=p.index;else p.y!==t[1]&&(i=p.index)}}}return i}},{"./lib/order-segments":298,"binary-search-bounds":31,"functional-red-black-tree":69,"robust-orientation":284}],300:[function(t,e,r){"use strict";var n=t("robust-dot-product"),i=t("robust-sum");function a(t,e){var r=i(n(t,e),[e[e.length-1]]);return r[r.length-1]}function o(t,e,r,n){var i=-e/(n-e);i<0?i=0:i>1&&(i=1);for(var a=1-i,o=t.length,s=new Array(o),l=0;l<o;++l)s[l]=i*t[l]+a*r[l];return s}e.exports=function(t,e){for(var r=[],n=[],i=a(t[t.length-1],e),s=t[t.length-1],l=t[0],c=0;c<t.length;++c,s=l){var u=a(l=t[c],e);if(i<0&&u>0||i>0&&u<0){var f=o(s,u,l,i);r.push(f),n.push(f.slice())}u<0?n.push(l.slice()):u>0?r.push(l.slice()):(r.push(l.slice()),n.push(l.slice())),i=u}return{positive:r,negative:n}},e.exports.positive=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l<t.length;++l,i=s){var c=a(s=t[l],e);(n<0&&c>0||n>0&&c<0)&&r.push(o(i,c,s,n)),c>=0&&r.push(s.slice()),n=c}return r},e.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l<t.length;++l,i=s){var c=a(s=t[l],e);(n<0&&c>0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},{"robust-dot-product":281,"robust-sum":289}],301:[function(t,e,r){!function(){"use strict";var t={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\x25]+/,modulo:/^\x25{2}/,placeholder:/^\x25(?:([1-9]\d*)\$|\(([^)]+)\))?(\+)?(0|'[^$])?(-)?(\d+)?(?:\.(\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\d]*)/i,key_access:/^\.([a-z_][a-z_\d]*)/i,index_access:/^\[(\d+)\]/,sign:/^[+-]/};function e(t){return i(o(t),arguments)}function n(t,r){return e.apply(null,[t].concat(r||[]))}function i(r,n){var i,a,o,s,l,c,u,f,h,p=1,d=r.length,m="";for(a=0;a<d;a++)if("string"==typeof r[a])m+=r[a];else if("object"==typeof r[a]){if((s=r[a]).keys)for(i=n[p],o=0;o<s.keys.length;o++){if(null==i)throw new Error(e('[sprintf] Cannot access property "%s" of undefined value "%s"',s.keys[o],s.keys[o-1]));i=i[s.keys[o]]}else i=s.param_no?n[s.param_no]:n[p++];if(t.not_type.test(s.type)&&t.not_primitive.test(s.type)&&i instanceof Function&&(i=i()),t.numeric_arg.test(s.type)&&"number"!=typeof i&&isNaN(i))throw new TypeError(e("[sprintf] expecting number but found %T",i));switch(t.number.test(s.type)&&(f=i>=0),s.type){case"b":i=parseInt(i,10).toString(2);break;case"c":i=String.fromCharCode(parseInt(i,10));break;case"d":case"i":i=parseInt(i,10);break;case"j":i=JSON.stringify(i,null,s.width?parseInt(s.width):0);break;case"e":i=s.precision?parseFloat(i).toExponential(s.precision):parseFloat(i).toExponential();break;case"f":i=s.precision?parseFloat(i).toFixed(s.precision):parseFloat(i);break;case"g":i=s.precision?String(Number(i.toPrecision(s.precision))):parseFloat(i);break;case"o":i=(parseInt(i,10)>>>0).toString(8);break;case"s":i=String(i),i=s.precision?i.substring(0,s.precision):i;break;case"t":i=String(!!i),i=s.precision?i.substring(0,s.precision):i;break;case"T":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=s.precision?i.substring(0,s.precision):i;break;case"u":i=parseInt(i,10)>>>0;break;case"v":i=i.valueOf(),i=s.precision?i.substring(0,s.precision):i;break;case"x":i=(parseInt(i,10)>>>0).toString(16);break;case"X":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}t.json.test(s.type)?m+=i:(!t.number.test(s.type)||f&&!s.sign?h="":(h=f?"+":"-",i=i.toString().replace(t.sign,"")),c=s.pad_char?"0"===s.pad_char?"0":s.pad_char.charAt(1):" ",u=s.width-(h+i).length,l=s.width&&u>0?c.repeat(u):"",m+=s.align?h+i+l:"0"===c?h+l+i:l+h+i)}return m}var a=Object.create(null);function o(e){if(a[e])return a[e];for(var r,n=e,i=[],o=0;n;){if(null!==(r=t.text.exec(n)))i.push(r[0]);else if(null!==(r=t.modulo.exec(n)))i.push("%");else{if(null===(r=t.placeholder.exec(n)))throw new SyntaxError("[sprintf] unexpected placeholder");if(r[2]){o|=1;var s=[],l=r[2],c=[];if(null===(c=t.key.exec(l)))throw new SyntaxError("[sprintf] failed to parse named argument key");for(s.push(c[1]);""!==(l=l.substring(c[0].length));)if(null!==(c=t.key_access.exec(l)))s.push(c[1]);else{if(null===(c=t.index_access.exec(l)))throw new SyntaxError("[sprintf] failed to parse named argument key");s.push(c[1])}r[2]=s}else o|=2;if(3===o)throw new Error("[sprintf] mixing positional and named placeholders is not (yet) supported");i.push({placeholder:r[0],param_no:r[1],keys:r[2],sign:r[3],pad_char:r[4],align:r[5],width:r[6],precision:r[7],type:r[8]})}n=n.substring(r[0].length)}return a[e]=i}void 0!==r&&(r.sprintf=e,r.vsprintf=n),"undefined"!=typeof window&&(window.sprintf=e,window.vsprintf=n)}()},{}],302:[function(t,e,r){"use strict";e.exports=function(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return function(t,e){for(var r=i(t,e),n=r.length,a=new Array(n),o=new Array(n),s=0;s<n;++s)a[s]=[r[s]],o[s]=[s];return{positions:a,cells:o}}(t,e);var r=t.order.join()+"-"+t.dtype,s=o[r];e=+e||0;s||(s=o[r]=function(t,e){var r=t.length+"d",i=a[r];if(i)return i(n,t,e)}(t.order,t.dtype));return s(t,e)};var n=t("ndarray-extract-contour"),i=t("zero-crossings"),a={"2d":function(t,e,r){var n=t({order:e,scalarArguments:3,getters:"generic"===r?[0]:void 0,phase:function(t,e,r,n){return t>n|0},vertex:function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=(o<<0)+(s<<1)+(l<<2)+(c<<3)|0;if(0!==p&&15!==p)switch(p){case 0:u.push([t-.5,e-.5]);break;case 1:u.push([t-.25-.25*(n+r-2*h)/(r-n),e-.25-.25*(i+r-2*h)/(r-i)]);break;case 2:u.push([t-.75-.25*(-n-r+2*h)/(n-r),e-.25-.25*(a+n-2*h)/(n-a)]);break;case 3:u.push([t-.5,e-.5-.5*(i+r+a+n-4*h)/(r-i+n-a)]);break;case 4:u.push([t-.25-.25*(a+i-2*h)/(i-a),e-.75-.25*(-i-r+2*h)/(i-r)]);break;case 5:u.push([t-.5-.5*(n+r+a+i-4*h)/(r-n+i-a),e-.5]);break;case 6:u.push([t-.5-.25*(-n-r+a+i)/(n-r+i-a),e-.5-.25*(-i-r+a+n)/(i-r+n-a)]);break;case 7:u.push([t-.75-.25*(a+i-2*h)/(i-a),e-.75-.25*(a+n-2*h)/(n-a)]);break;case 8:u.push([t-.75-.25*(-a-i+2*h)/(a-i),e-.75-.25*(-a-n+2*h)/(a-n)]);break;case 9:u.push([t-.5-.25*(n+r+-a-i)/(r-n+a-i),e-.5-.25*(i+r+-a-n)/(r-i+a-n)]);break;case 10:u.push([t-.5-.5*(-n-r-a-i+4*h)/(n-r+a-i),e-.5]);break;case 11:u.push([t-.25-.25*(-a-i+2*h)/(a-i),e-.75-.25*(i+r-2*h)/(r-i)]);break;case 12:u.push([t-.5,e-.5-.5*(-i-r-a-n+4*h)/(i-r+a-n)]);break;case 13:u.push([t-.75-.25*(n+r-2*h)/(r-n),e-.25-.25*(-a-n+2*h)/(a-n)]);break;case 14:u.push([t-.25-.25*(-n-r+2*h)/(n-r),e-.25-.25*(-i-r+2*h)/(i-r)]);break;case 15:u.push([t-.5,e-.5])}},cell:function(t,e,r,n,i,a,o,s,l){i?s.push([t,e]):s.push([e,t])}});return function(t,e){var r=[],i=[];return n(t,r,i,e),{positions:r,cells:i}}}};var o={}},{"ndarray-extract-contour":251,"zero-crossings":318}],303:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function t(e,r,i){i=i||{};var o=a[e];o||(o=a[e]={" ":{data:new Float32Array(0),shape:.2}});var s=o[r];if(!s)if(r.length<=1||!/\d/.test(r))s=o[r]=function(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var c=r[s[l]];n[i++]=c[0],n[i++]=c[1]+1.4,a=Math.max(c[0],a)}return{data:n,shape:a}}(n(r,{triangles:!0,font:e,textAlign:i.textAlign||"left",textBaseline:"alphabetic",styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}}));else{for(var l=r.split(/(\d|\s)/),c=new Array(l.length),u=0,f=0,h=0;h<l.length;++h)c[h]=t(e,l[h]),u+=c[h].data.length,f+=c[h].shape,h>0&&(f+=.02);var p=new Float32Array(u),d=0,m=-.5*f;for(h=0;h<c.length;++h){for(var g=c[h].data,v=0;v<g.length;v+=2)p[d++]=g[v]+m,p[d++]=g[v+1];m+=c[h].shape+.02}s=o[r]={data:p,shape:f}}return s};var n=t("vectorize-text"),i=window||r.global||{},a=i.__TEXT_CACHE||{};i.__TEXT_CACHE={}}).call(this)}).call(this,t("_process"))},{_process:5,"vectorize-text":311}],304:[function(t,e,r){"use strict";var n=t("parse-unit");e.exports=a;function i(t,e){var r=n(getComputedStyle(t).getPropertyValue(e));return r[0]*a(r[1],t)}function a(t,e){switch(e=e||document.body,t=(t||"px").trim().toLowerCase(),e!==window&&e!==document||(e=document.body),t){case"%":return e.clientHeight/100;case"ch":case"ex":return function(t,e){var r=document.createElement("div");r.style["font-size"]="128"+t,e.appendChild(r);var n=i(r,"font-size")/128;return e.removeChild(r),n}(t,e);case"em":return i(e,"font-size");case"rem":return i(document.body,"font-size");case"vw":return window.innerWidth/100;case"vh":return window.innerHeight/100;case"vmin":return Math.min(window.innerWidth,window.innerHeight)/100;case"vmax":return Math.max(window.innerWidth,window.innerHeight)/100;case"in":return 96;case"cm":return 96/2.54;case"mm":return 96/25.4;case"pt":return 96/72;case"pc":return 16}return 1}},{"parse-unit":265}],305:[function(t,e,r){"use strict";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.up||[0,1,0],n=t.right||f(r),i=t.radius||1,a=t.theta||0,u=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),s(r,r),n=[].slice.call(n,0,3),s(n,n),"eye"in t){var p=t.eye,d=[p[0]-e[0],p[1]-e[1],p[2]-e[2]];o(n,d,r),c(n[0],n[1],n[2])<1e-6?n=f(r):s(n,n),i=c(d[0],d[1],d[2]);var m=l(r,d)/i,g=l(n,d)/i;u=Math.acos(m),a=Math.acos(g)}return i=Math.log(i),new h(t.zoomMin,t.zoomMax,e,r,n,i,a,u)};var n=t("filtered-vector"),i=t("gl-mat4/invert"),a=t("gl-mat4/rotate"),o=t("gl-vec3/cross"),s=t("gl-vec3/normalize"),l=t("gl-vec3/dot");function c(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t){return Math.min(1,Math.max(-1,t))}function f(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function h(t,e,r,i,a,o,s,l){this.center=n(r),this.up=n(i),this.right=n(a),this.radius=n([o]),this.angle=n([s,l]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,A=m*l+g*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{"filtered-vector":68,"gl-mat4/invert":98,"gl-mat4/rotate":103,"gl-vec3/cross":157,"gl-vec3/dot":162,"gl-vec3/normalize":179}],306:[function(t,e,r){"use strict";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){"use strict";var n=t("bit-twiddle"),i=t("dup"),a=t("buffer").Buffer;e.__TYPEDARRAY_POOL||(e.__TYPEDARRAY_POOL={UINT8:i([32,0]),UINT16:i([32,0]),UINT32:i([32,0]),BIGUINT64:i([32,0]),INT8:i([32,0]),INT16:i([32,0]),INT32:i([32,0]),BIGINT64:i([32,0]),FLOAT:i([32,0]),DOUBLE:i([32,0]),DATA:i([32,0]),UINT8C:i([32,0]),BUFFER:i([32,0])});var o="undefined"!=typeof Uint8ClampedArray,s="undefined"!=typeof BigUint64Array,l="undefined"!=typeof BigInt64Array,c=e.__TYPEDARRAY_POOL;c.UINT8C||(c.UINT8C=i([32,0])),c.BIGUINT64||(c.BIGUINT64=i([32,0])),c.BIGINT64||(c.BIGINT64=i([32,0])),c.BUFFER||(c.BUFFER=i([32,0]));var u=c.DATA,f=c.BUFFER;function h(t){if(t){var e=t.length||t.byteLength,r=n.log2(e);u[r].push(t)}}function p(t){t=n.nextPow2(t);var e=n.log2(t),r=u[e];return r.length>0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function m(t){return new Uint16Array(p(2*t),0,t)}function g(t){return new Uint32Array(p(4*t),0,t)}function v(t){return new Int8Array(p(t),0,t)}function y(t){return new Int16Array(p(2*t),0,t)}function x(t){return new Int32Array(p(4*t),0,t)}function b(t){return new Float32Array(p(4*t),0,t)}function _(t){return new Float64Array(p(8*t),0,t)}function w(t){return o?new Uint8ClampedArray(p(t),0,t):d(t)}function T(t){return s?new BigUint64Array(p(8*t),0,t):null}function k(t){return l?new BigInt64Array(p(8*t),0,t):null}function A(t){return new DataView(p(t),0,t)}function M(t){t=n.nextPow2(t);var e=n.log2(t),r=f[e];return r.length>0?r.pop():new a(t)}r.free=function(t){if(a.isBuffer(t))f[n.log2(t.length)].push(t);else{if("[object ArrayBuffer]"!==Object.prototype.toString.call(t)&&(t=t.buffer),!t)return;var e=t.length||t.byteLength,r=0|n.log2(e);u[r].push(t)}},r.freeUint8=r.freeUint16=r.freeUint32=r.freeBigUint64=r.freeInt8=r.freeInt16=r.freeInt32=r.freeBigInt64=r.freeFloat32=r.freeFloat=r.freeFloat64=r.freeDouble=r.freeUint8Clamped=r.freeDataView=function(t){h(t.buffer)},r.freeArrayBuffer=h,r.freeBuffer=function(t){f[n.log2(t.length)].push(t)},r.malloc=function(t,e){if(void 0===e||"arraybuffer"===e)return p(t);switch(e){case"uint8":return d(t);case"uint16":return m(t);case"uint32":return g(t);case"int8":return v(t);case"int16":return y(t);case"int32":return x(t);case"float":case"float32":return b(t);case"double":case"float64":return _(t);case"uint8_clamped":return w(t);case"bigint64":return k(t);case"biguint64":return T(t);case"buffer":return M(t);case"data":case"dataview":return A(t);default:return null}return null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=m,r.mallocUint32=g,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"bit-twiddle":32,buffer:3,dup:65}],309:[function(t,e,r){"use strict";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,"length",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){"use strict";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){"use strict";e.exports=function(t,e){"object"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t("./lib/vtext"),i=null,a=null;"undefined"!=typeof document&&((i=document.createElement("canvas")).width=8192,i.height=1024,a=i.getContext("2d"))},{"./lib/vtext":312}],312:[function(t,e,r){e.exports=function(t,e,r,n){var a=64,o=1.25,s={breaklines:!1,bolds:!1,italics:!1,subscripts:!1,superscripts:!1};n&&(n.size&&n.size>0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return r.font=[n.fontStyle,n.fontVariant,n.fontWeight,a+"px",n.font].filter((function(t){return t})).join(" "),r.textAlign="start",r.textBaseline="alphabetic",r.direction="ltr",h(function(t,e,r,n,a,o){r=r.replace(/\n/g,""),r=!0===o.breaklines?r.replace(/\<br\>/g,"\n"):r.replace(/\<br\>/g," ");var s="",l=[];for(p=0;p<r.length;++p)l[p]=s;!0===o.bolds&&(l=c("b","b|",r,l));!0===o.italics&&(l=c("i","i|",r,l));!0===o.superscripts&&(l=c("sup","+1",r,l));!0===o.subscripts&&(l=c("sub","-1",r,l));var u=[],f="";for(p=0;p<r.length;++p)null!==l[p]&&(f+=r[p],u.push(l[p]));var h,p,d,m,g,v=f.split("\n"),y=v.length,x=Math.round(a*n),b=n,_=2*n,w=0,T=y*x+_;t.height<T&&(t.height=T);e.fillStyle="#000",e.fillRect(0,0,t.width,t.height),e.fillStyle="#fff";var k=0,A="";function M(){if(""!==A){var t=e.measureText(A).width;e.fillText(A,b+d,_+m),d+=t}}function S(){return Math.round(g)+"px "}function E(t,r){var n=""+e.font;if(!0===o.subscripts){var i=t.indexOf("-"),a=r.indexOf("-"),s=i>-1?parseInt(t[1+i]):0,l=a>-1?parseInt(r[1+a]):0;s!==l&&(n=n.replace(S(),"?px "),g*=Math.pow(.75,l-s),n=n.replace("?px ",S())),m+=.25*x*(l-s)}if(!0===o.superscripts){var c=t.indexOf("+"),u=r.indexOf("+"),f=c>-1?parseInt(t[1+c]):0,h=u>-1?parseInt(r[1+u]):0;f!==h&&(n=n.replace(S(),"?px "),g*=Math.pow(.75,h-f),n=n.replace("?px ",S())),m-=.25*x*(h-f)}if(!0===o.bolds){var p=t.indexOf("b|")>-1,d=r.indexOf("b|")>-1;!p&&d&&(n=v?n.replace("italic ","italic bold "):"bold "+n),p&&!d&&(n=n.replace("bold ",""))}if(!0===o.italics){var v=t.indexOf("i|")>-1,y=r.indexOf("i|")>-1;!v&&y&&(n="italic "+n),v&&!y&&(n=n.replace("italic ",""))}e.font=n}for(h=0;h<y;++h){var L=v[h]+"\n";for(d=0,m=h*x,g=n,A="",p=0;p<L.length;++p){var C=p+k<u.length?u[p+k]:u[u.length-1];s===C?A+=L[p]:(M(),A=L[p],void 0!==C&&(E(s,C),s=C))}M(),k+=L.length;var P=0|Math.round(d+2*b);w<P&&(w=P)}var I=w,O=_+x*y;return i(e.getImageData(0,0,I,O).data,[O,I,4]).pick(-1,-1,0).transpose(1,0)}(e,r,t,a,o,s),n,a)},e.exports.processPixels=h;var n=t("surface-nets"),i=t("ndarray"),a=t("simplify-planar-graph"),o=t("clean-pslg"),s=t("cdt2d"),l=t("planar-graph-to-polyline");function c(t,e,r,n){for(var i="<"+t+">",a="</"+t+">",o=i.length,s=a.length,l="+"===e[0]||"-"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+" "+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||"start",i=e.textBaseline||"alphabetic",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var f=0;switch(n){case"center":f=-.5*(a[0]+o[0]);break;case"right":case"end":f=-o[0];break;case"left":case"start":f=-a[0];break;default:throw new Error("vectorize-text: Unrecognized textAlign: '"+n+"'")}var h=0;switch(i){case"hanging":case"top":h=-a[1];break;case"middle":h=-.5*(a[1]+o[1]);break;case"alphabetic":case"ideographic":h=-3*r;break;case"bottom":h=-o[1];break;default:throw new Error("vectorize-text: Unrecoginized textBaseline: '"+i+"'")}var p=1/r;return"lineHeight"in e?p*=+e.lineHeight:"width"in e?p=e.width/(o[0]-a[0]):"height"in e&&(p=e.height/(o[1]-a[1])),t.map((function(t){return[p*(t[0]+f),p*(t[1]+h)]}))}(i.positions,e,r),c=i.edges,f="ccw"===e.orientation;if(o(a,c),e.polygons||e.polygon||e.polyline){for(var h=l(c,a),p=new Array(h.length),d=0;d<h.length;++d){for(var m=h[d],g=new Array(m.length),v=0;v<m.length;++v){for(var y=m[v],x=new Array(y.length),b=0;b<y.length;++b)x[b]=a[y[b]].slice();f&&x.reverse(),g[v]=x}p[d]=g}return p}return e.triangles||e.triangulate||e.triangle?{cells:s(a,c,{delaunay:!1,exterior:!1,interior:!0}),positions:a}:{edges:c,positions:a}}function h(t,e,r){try{return f(t,e,r,!0)}catch(t){}try{return f(t,e,r,!1)}catch(t){}return e.polygons||e.polyline||e.polygon?[]:e.triangles||e.triangulate||e.triangle?{cells:[],positions:[]}:{edges:[],positions:[]}}},{cdt2d:42,"clean-pslg":50,ndarray:259,"planar-graph-to-polyline":268,"simplify-planar-graph":297,"surface-nets":302}],313:[function(t,e,r){!function(){"use strict";if("undefined"==typeof ses||!ses.ok||ses.ok()){"undefined"!=typeof ses&&(ses.weakMapPermitHostObjects=m);var t=!1;if("function"==typeof WeakMap){var r=WeakMap;if("undefined"!=typeof navigator&&/Firefox/.test(navigator.userAgent));else{var n=new r,i=Object.freeze({});if(n.set(i,1),1===n.get(i))return void(e.exports=WeakMap);t=!0}}Object.prototype.hasOwnProperty;var a=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l="weakmap:ident:"+Math.random()+"___";if("undefined"!=typeof crypto&&"function"==typeof crypto.getRandomValues&&"function"==typeof ArrayBuffer&&"function"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l="weakmap:rand:"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join("")+"___"}if(o(Object,"getOwnPropertyNames",{value:function(t){return a(t).filter(g)}}),"getPropertyNames"in Object){var f=Object.getPropertyNames;o(Object,"getPropertyNames",{value:function(t){return f(t).filter(g)}})}!function(){var t=Object.freeze;o(Object,"freeze",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,"seal",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,"preventExtensions",{value:function(t){return v(t),r(t)}})}();var h=!1,p=0,d=function(){this instanceof d||x();var t=[],e=[],r=p++;return Object.create(d.prototype,{get___:{value:y((function(n,i){var a,o=v(n);return o?r in o?o[r]:i:(a=t.indexOf(n))>=0?e[a]:i}))},has___:{value:y((function(e){var n=v(e);return n?r in n:t.indexOf(e)>=0}))},set___:{value:y((function(n,i){var a,o=v(n);return o?o[r]=i:(a=t.indexOf(n))>=0?e[a]=i:(a=t.length,e[a]=i,t[a]=n),this}))},delete___:{value:y((function(n){var i,a,o=v(n);return o?r in o&&delete o[r]:!((i=t.indexOf(n))<0)&&(a=t.length-1,t[i]=void 0,e[i]=e[a],t[i]=t[a],t.length=a,e.length=a,!0)}))}})};d.prototype=Object.create(Object.prototype,{get:{value:function(t,e){return this.get___(t,e)},writable:!0,configurable:!0},has:{value:function(t){return this.has___(t)},writable:!0,configurable:!0},set:{value:function(t,e){return this.set___(t,e)},writable:!0,configurable:!0},delete:{value:function(t){return this.delete___(t)},writable:!0,configurable:!0}}),"function"==typeof r?function(){function n(){this instanceof d||x();var e,n=new r,i=void 0,a=!1;return e=t?function(t,e){return n.set(t,e),n.has(t)||(i||(i=new d),i.set(t,e)),this}:function(t,e){if(a)try{n.set(t,e)}catch(r){i||(i=new d),i.set___(t,e)}else n.set(t,e);return this},Object.create(d.prototype,{get___:{value:y((function(t,e){return i?n.has(t)?n.get(t):i.get___(t,e):n.get(t,e)}))},has___:{value:y((function(t){return n.has(t)||!!i&&i.has___(t)}))},set___:{value:y(e)},delete___:{value:y((function(t){var e=!!n.delete(t);return i&&i.delete___(t)||e}))},permitHostObjects___:{value:y((function(t){if(t!==m)throw new Error("bogus call to permitHostObjects___");a=!0}))}})}t&&"undefined"!=typeof Proxy&&(Proxy=void 0),n.prototype=d.prototype,e.exports=n,Object.defineProperty(WeakMap.prototype,"constructor",{value:WeakMap,enumerable:!1,configurable:!0,writable:!0})}():("undefined"!=typeof Proxy&&(Proxy=void 0),e.exports=d)}function m(t){t.permitHostObjects___&&t.permitHostObjects___(m)}function g(t){return!("weakmap:"==t.substr(0,"weakmap:".length)&&"___"===t.substr(t.length-3))}function v(t){if(t!==Object(t))throw new TypeError("Not an object: "+t);var e=t[l];if(e&&e.key===t)return e;if(s(t)){e={key:t};try{return o(t,l,{value:e,writable:!1,enumerable:!1,configurable:!1}),e}catch(t){return}}}function y(t){return t.prototype=null,Object.freeze(t)}function x(){h||"undefined"==typeof console||(h=!0,console.warn("WeakMap should be invoked as new WeakMap(), not WeakMap(). This will be an error in the future."))}}()},{}],314:[function(t,e,r){var n=t("./hidden-store.js");e.exports=function(){var t={};return function(e){if(("object"!=typeof e||null===e)&&"function"!=typeof e)throw new Error("Weakmap-shim: Key must be object");var r=e.valueOf(t);return r&&r.identity===t?r:n(e,t)}}},{"./hidden-store.js":315}],315:[function(t,e,r){e.exports=function(t,e){var r={identity:e},n=t.valueOf;return Object.defineProperty(t,"valueOf",{value:function(t){return t!==e?n.apply(this,arguments):r},writable:!0}),r}},{}],316:[function(t,e,r){var n=t("./create-store.js");e.exports=function(){var t=n();return{get:function(e,r){var n=t(e);return n.hasOwnProperty("value")?n.value:r},set:function(e,r){return t(e).value=r,this},has:function(e){return"value"in t(e)},delete:function(e){return delete t(e).value}}}},{"./create-store.js":314}],317:[function(t,e,r){"use strict";var n,i=function(){return function(t,e,r,n,i,a){var o=t[0],s=r[0],l=[0],c=s;n|=0;var u=0,f=s;for(u=0;u<o;++u){var h=e[n]-a,p=e[n+c]-a;h>=0!=p>=0&&i.push(l[0]+.5+.5*(h+p)/(h-p)),n+=f,++l[0]}}};e.exports=(n={funcName:{funcName:"zeroCrossings"}.funcName},function(t){var e={};return function(r,n,i){var a=r.dtype,o=r.order,s=[a,o.join()].join(),l=e[s];return l||(e[s]=l=t([a,o])),l(r.shape.slice(0),r.data,r.stride,0|r.offset,n,i)}}(i.bind(void 0,n)))},{}],318:[function(t,e,r){"use strict";e.exports=function(t,e){var r=[];return e=+e||0,n(t.hi(t.shape[0]-1),r,e),r};var n=t("./lib/zc-core")},{"./lib/zc-core":317}]},{},[6])(6)}))}).call(this)}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}]},{},[27])(27)}));</script>
+"use strict";var n,i="";e.exports=function(t,e){if("string"!=typeof t)throw new TypeError("expected a string");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||"undefined"==typeof n)n=t,i="";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],514:[function(t,e,r){(function(t){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],515:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i<e;++i){var l;a=t[i];(l=(o=r)-((r=a+o)-a))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],516:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum"),a=t("robust-scale"),o=t("robust-compress");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var i=r[n-1]=new Array(t.length-1),a=0,o=0;a<t.length;++a)a!==e&&(i[o++]=t[n][a]);return r}function l(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=["m[",r,"][",n,"]"].join("")}return e}function c(t){if(2===t.length)return["sum(prod(",t[0][0],",",t[1][1],"),prod(-",t[0][1],",",t[1][0],"))"].join("");for(var e=[],r=0;r<t.length;++r)e.push(["scale(",c(s(t,r)),",",(n=r,1&n?"-":""),t[0][r],")"].join(""));return function t(e){if(1===e.length)return e[0];if(2===e.length)return["sum(",e[0],",",e[1],")"].join("");var r=e.length>>1;return["sum(",t(e.slice(0,r)),",",t(e.slice(r)),")"].join("")}(e);var n}function u(t){return new Function("sum","scale","prod","compress",["function robustDeterminant",t,"(m){return compress(",c(l(t)),")};return robustDeterminant",t].join(""))(i,a,n,o)}var h=[function(){return[0]},function(t){return[t[0][0]]}];!function(){for(;h.length<6;)h.push(u(h.length));for(var t=[],r=["function robustDeterminant(m){switch(m.length){"],n=0;n<6;++n)t.push("det"+n),r.push("case ",n,":return det",n,"(m);");r.push("}var det=CACHE[m.length];if(!det)det=CACHE[m.length]=gen(m.length);return det(m);}return robustDeterminant"),t.push("CACHE","gen",r.join(""));var i=Function.apply(void 0,t);for(e.exports=i.apply(void 0,h.concat([h,u])),n=0;n<h.length;++n)e.exports[n]=h[n]}()},{"robust-compress":515,"robust-scale":522,"robust-sum":525,"two-product":554}],517:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum");e.exports=function(t,e){for(var r=n(t[0],e[0]),a=1;a<t.length;++a)r=i(r,n(t[a],e[a]));return r}},{"robust-sum":525,"two-product":554}],518:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum"),a=t("robust-subtract"),o=t("robust-scale");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var i=r[n-1]=new Array(t.length-1),a=0,o=0;a<t.length;++a)a!==e&&(i[o++]=t[n][a]);return r}function l(t){if(1===t.length)return t[0];if(2===t.length)return["sum(",t[0],",",t[1],")"].join("");var e=t.length>>1;return["sum(",l(t.slice(0,e)),",",l(t.slice(e)),")"].join("")}function c(t,e){if("m"===t.charAt(0)){if("w"===e.charAt(0)){var r=t.split("[");return["w",e.substr(1),"m",r[0].substr(1)].join("")}return["prod(",t,",",e,")"].join("")}return c(e,t)}function u(t){if(2===t.length)return[["diff(",c(t[0][0],t[1][1]),",",c(t[1][0],t[0][1]),")"].join("")];for(var e=[],r=0;r<t.length;++r)e.push(["scale(",l(u(s(t,r))),",",(n=r,!0&n?"-":""),t[0][r],")"].join(""));return e;var n}function h(t,e){for(var r=[],n=0;n<e-2;++n)r.push(["prod(m",t,"[",n,"],m",t,"[",n,"])"].join(""));return l(r)}function f(t){for(var e=[],r=[],c=function(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=["m",n,"[",t-r-2,"]"].join("")}return e}(t),f=0;f<t;++f)c[0][f]="1",c[t-1][f]="w"+f;for(f=0;f<t;++f)0==(1&f)?e.push.apply(e,u(s(c,f))):r.push.apply(r,u(s(c,f)));var p=l(e),d=l(r),g="exactInSphere"+t,m=[];for(f=0;f<t;++f)m.push("m"+f);var v=["function ",g,"(",m.join(),"){"];for(f=0;f<t;++f){v.push("var w",f,"=",h(f,t),";");for(var y=0;y<t;++y)y!==f&&v.push("var w",f,"m",y,"=scale(w",f,",m",y,"[0]);")}return v.push("var p=",p,",n=",d,",d=diff(p,n);return d[d.length-1];}return ",g),new Function("sum","diff","prod","scale",v.join(""))(i,a,n,o)}var p=[function(){return 0},function(){return 0},function(){return 0}];function d(t){var e=p[t.length];return e||(e=p[t.length]=f(t.length)),e.apply(void 0,t)}!function(){for(;p.length<=6;)p.push(f(p.length));for(var t=[],r=["slow"],n=0;n<=6;++n)t.push("a"+n),r.push("o"+n);var i=["function testInSphere(",t.join(),"){switch(arguments.length){case 0:case 1:return 0;"];for(n=2;n<=6;++n)i.push("case ",n,":return o",n,"(",t.slice(0,n).join(),");");i.push("}var s=new Array(arguments.length);for(var i=0;i<arguments.length;++i){s[i]=arguments[i]};return slow(s);}return testInSphere"),r.push(i.join(""));var a=Function.apply(void 0,r);for(e.exports=a.apply(void 0,[d].concat(p)),n=0;n<=6;++n)e.exports[n]=p[n]}()},{"robust-scale":522,"robust-subtract":524,"robust-sum":525,"two-product":554}],519:[function(t,e,r){"use strict";var n=t("robust-determinant");function i(t){for(var e="robustLinearSolve"+t+"d",r=["function ",e,"(A,b){return ["],i=0;i<t;++i){r.push("det([");for(var a=0;a<t;++a){a>0&&r.push(","),r.push("[");for(var o=0;o<t;++o)o>0&&r.push(","),o===i?r.push("+b[",a,"]"):r.push("+A[",a,"][",o,"]");r.push("]")}r.push("]),")}r.push("det(A)]}return ",e);var s=new Function("det",r.join(""));return s(t<6?n[t]:n)}var a=[function(){return[0]},function(t,e){return[[e[0]],[t[0][0]]]}];!function(){for(;a.length<6;)a.push(i(a.length));for(var t=[],r=["function dispatchLinearSolve(A,b){switch(A.length){"],n=0;n<6;++n)t.push("s"+n),r.push("case ",n,":return s",n,"(A,b);");r.push("}var s=CACHE[A.length];if(!s)s=CACHE[A.length]=g(A.length);return s(A,b)}return dispatchLinearSolve"),t.push("CACHE","g",r.join(""));var o=Function.apply(void 0,t);for(e.exports=o.apply(void 0,a.concat([a,i])),n=0;n<6;++n)e.exports[n]=a[n]}()},{"robust-determinant":516}],520:[function(t,e,r){"use strict";var n=t("two-product"),i=t("robust-sum"),a=t("robust-scale"),o=t("robust-subtract");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var i=r[n-1]=new Array(t.length-1),a=0,o=0;a<t.length;++a)a!==e&&(i[o++]=t[n][a]);return r}function l(t){if(1===t.length)return t[0];if(2===t.length)return["sum(",t[0],",",t[1],")"].join("");var e=t.length>>1;return["sum(",l(t.slice(0,e)),",",l(t.slice(e)),")"].join("")}function c(t){if(2===t.length)return[["sum(prod(",t[0][0],",",t[1][1],"),prod(-",t[0][1],",",t[1][0],"))"].join("")];for(var e=[],r=0;r<t.length;++r)e.push(["scale(",l(c(s(t,r))),",",(n=r,1&n?"-":""),t[0][r],")"].join(""));return e;var n}function u(t){for(var e=[],r=[],u=function(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=["m",n,"[",t-r-1,"]"].join("")}return e}(t),h=[],f=0;f<t;++f)0==(1&f)?e.push.apply(e,c(s(u,f))):r.push.apply(r,c(s(u,f))),h.push("m"+f);var p=l(e),d=l(r),g="orientation"+t+"Exact",m=["function ",g,"(",h.join(),"){var p=",p,",n=",d,",d=sub(p,n);return d[d.length-1];};return ",g].join("");return new Function("sum","prod","scale","sub",m)(i,n,a,o)}var h=u(3),f=u(4),p=[function(){return 0},function(){return 0},function(t,e){return e[0]-t[0]},function(t,e,r){var n,i=(t[1]-r[1])*(e[0]-r[0]),a=(t[0]-r[0])*(e[1]-r[1]),o=i-a;if(i>0){if(a<=0)return o;n=i+a}else{if(!(i<0))return o;if(a>=0)return o;n=-(i+a)}var s=33306690738754716e-32*n;return o>=s||o<=-s?o:h(t,e,r)},function(t,e,r,n){var i=t[0]-n[0],a=e[0]-n[0],o=r[0]-n[0],s=t[1]-n[1],l=e[1]-n[1],c=r[1]-n[1],u=t[2]-n[2],h=e[2]-n[2],p=r[2]-n[2],d=a*c,g=o*l,m=o*s,v=i*c,y=i*l,x=a*s,b=u*(d-g)+h*(m-v)+p*(y-x),_=7771561172376103e-31*((Math.abs(d)+Math.abs(g))*Math.abs(u)+(Math.abs(m)+Math.abs(v))*Math.abs(h)+(Math.abs(y)+Math.abs(x))*Math.abs(p));return b>_||-b>_?b:f(t,e,r,n)}];function d(t){var e=p[t.length];return e||(e=p[t.length]=u(t.length)),e.apply(void 0,t)}!function(){for(;p.length<=5;)p.push(u(p.length));for(var t=[],r=["slow"],n=0;n<=5;++n)t.push("a"+n),r.push("o"+n);var i=["function getOrientation(",t.join(),"){switch(arguments.length){case 0:case 1:return 0;"];for(n=2;n<=5;++n)i.push("case ",n,":return o",n,"(",t.slice(0,n).join(),");");i.push("}var s=new Array(arguments.length);for(var i=0;i<arguments.length;++i){s[i]=arguments[i]};return slow(s);}return getOrientation"),r.push(i.join(""));var a=Function.apply(void 0,r);for(e.exports=a.apply(void 0,[d].concat(p)),n=0;n<=5;++n)e.exports[n]=p[n]}()},{"robust-scale":522,"robust-subtract":524,"robust-sum":525,"two-product":554}],521:[function(t,e,r){"use strict";var n=t("robust-sum"),i=t("robust-scale");e.exports=function(t,e){if(1===t.length)return i(e,t[0]);if(1===e.length)return i(t,e[0]);if(0===t.length||0===e.length)return[0];var r=[0];if(t.length<e.length)for(var a=0;a<t.length;++a)r=n(r,i(e,t[a]));else for(a=0;a<e.length;++a)r=n(r,i(t,e[a]));return r}},{"robust-scale":522,"robust-sum":525}],522:[function(t,e,r){"use strict";var n=t("two-product"),i=t("two-sum");e.exports=function(t,e){var r=t.length;if(1===r){var a=n(t[0],e);return a[0]?a:[a[1]]}var o=new Array(2*r),s=[.1,.1],l=[.1,.1],c=0;n(t[0],e,s),s[0]&&(o[c++]=s[0]);for(var u=1;u<r;++u){n(t[u],e,l);var h=s[1];i(h,l[0],s),s[0]&&(o[c++]=s[0]);var f=l[1],p=s[1],d=f+p,g=p-(d-f);s[1]=d,g&&(o[c++]=g)}s[1]&&(o[c++]=s[1]);0===c&&(o[c++]=0);return o.length=c,o}},{"two-product":554,"two-sum":555}],523:[function(t,e,r){"use strict";e.exports=function(t,e,r,i){var a=n(t,r,i),o=n(e,r,i);if(a>0&&o>0||a<0&&o<0)return!1;var s=n(r,t,e),l=n(i,t,e);if(s>0&&l>0||s<0&&l<0)return!1;if(0===a&&0===o&&0===s&&0===l)return function(t,e,r,n){for(var i=0;i<2;++i){var a=t[i],o=e[i],s=Math.min(a,o),l=Math.max(a,o),c=r[i],u=n[i],h=Math.min(c,u);if(Math.max(c,u)<s||l<h)return!1}return!0}(t,e,r,i);return!0};var n=t("robust-orientation")[3]},{"robust-orientation":520}],524:[function(t,e,r){"use strict";e.exports=function(t,e){var r=0|t.length,n=0|e.length;if(1===r&&1===n)return function(t,e){var r=t+e,n=r-t,i=t-(r-n)+(e-n);if(i)return[i,r];return[r]}(t[0],-e[0]);var i,a,o=new Array(r+n),s=0,l=0,c=0,u=Math.abs,h=t[l],f=u(h),p=-e[c],d=u(p);f<d?(a=h,(l+=1)<r&&(h=t[l],f=u(h))):(a=p,(c+=1)<n&&(p=-e[c],d=u(p)));l<r&&f<d||c>=n?(i=h,(l+=1)<r&&(h=t[l],f=u(h))):(i=p,(c+=1)<n&&(p=-e[c],d=u(p)));var g,m,v=i+a,y=v-i,x=a-y,b=x,_=v;for(;l<r&&c<n;)f<d?(i=h,(l+=1)<r&&(h=t[l],f=u(h))):(i=p,(c+=1)<n&&(p=-e[c],d=u(p))),(x=(a=b)-(y=(v=i+a)-i))&&(o[s++]=x),b=_-((g=_+v)-(m=g-_))+(v-m),_=g;for(;l<r;)(x=(a=b)-(y=(v=(i=h)+a)-i))&&(o[s++]=x),b=_-((g=_+v)-(m=g-_))+(v-m),_=g,(l+=1)<r&&(h=t[l]);for(;c<n;)(x=(a=b)-(y=(v=(i=p)+a)-i))&&(o[s++]=x),b=_-((g=_+v)-(m=g-_))+(v-m),_=g,(c+=1)<n&&(p=-e[c]);b&&(o[s++]=b);_&&(o[s++]=_);s||(o[s++]=0);return o.length=s,o}},{}],525:[function(t,e,r){"use strict";e.exports=function(t,e){var r=0|t.length,n=0|e.length;if(1===r&&1===n)return function(t,e){var r=t+e,n=r-t,i=t-(r-n)+(e-n);if(i)return[i,r];return[r]}(t[0],e[0]);var i,a,o=new Array(r+n),s=0,l=0,c=0,u=Math.abs,h=t[l],f=u(h),p=e[c],d=u(p);f<d?(a=h,(l+=1)<r&&(h=t[l],f=u(h))):(a=p,(c+=1)<n&&(p=e[c],d=u(p)));l<r&&f<d||c>=n?(i=h,(l+=1)<r&&(h=t[l],f=u(h))):(i=p,(c+=1)<n&&(p=e[c],d=u(p)));var g,m,v=i+a,y=v-i,x=a-y,b=x,_=v;for(;l<r&&c<n;)f<d?(i=h,(l+=1)<r&&(h=t[l],f=u(h))):(i=p,(c+=1)<n&&(p=e[c],d=u(p))),(x=(a=b)-(y=(v=i+a)-i))&&(o[s++]=x),b=_-((g=_+v)-(m=g-_))+(v-m),_=g;for(;l<r;)(x=(a=b)-(y=(v=(i=h)+a)-i))&&(o[s++]=x),b=_-((g=_+v)-(m=g-_))+(v-m),_=g,(l+=1)<r&&(h=t[l]);for(;c<n;)(x=(a=b)-(y=(v=(i=p)+a)-i))&&(o[s++]=x),b=_-((g=_+v)-(m=g-_))+(v-m),_=g,(c+=1)<n&&(p=e[c]);b&&(o[s++]=b);_&&(o[s++]=_);s||(o[s++]=0);return o.length=s,o}},{}],526:[function(t,e,r){"use strict";e.exports=function(t){return t<0?-1:t>0?1:0}},{}],527:[function(t,e,r){"use strict";e.exports=function(t){return i(n(t))};var n=t("boundary-cells"),i=t("reduce-simplicial-complex")},{"boundary-cells":100,"reduce-simplicial-complex":507}],528:[function(t,e,r){"use strict";e.exports=function(t,e,r,s){r=r||0,"undefined"==typeof s&&(s=function(t){for(var e=t.length,r=0,n=0;n<e;++n)r=0|Math.max(r,t[n].length);return r-1}(t));if(0===t.length||s<1)return{cells:[],vertexIds:[],vertexWeights:[]};var l=function(t,e){for(var r=t.length,n=i.mallocUint8(r),a=0;a<r;++a)n[a]=t[a]<e|0;return n}(e,+r),c=function(t,e){for(var r=t.length,o=e*(e+1)/2*r|0,s=i.mallocUint32(2*o),l=0,c=0;c<r;++c)for(var u=t[c],h=(e=u.length,0);h<e;++h)for(var f=0;f<h;++f){var p=u[f],d=u[h];s[l++]=0|Math.min(p,d),s[l++]=0|Math.max(p,d)}a(n(s,[l/2|0,2]));var g=2;for(c=2;c<l;c+=2)s[c-2]===s[c]&&s[c-1]===s[c+1]||(s[g++]=s[c],s[g++]=s[c+1]);return n(s,[g/2|0,2])}(t,s),u=function(t,e,r,a){for(var o=t.data,s=t.shape[0],l=i.mallocDouble(s),c=0,u=0;u<s;++u){var h=o[2*u],f=o[2*u+1];if(r[h]!==r[f]){var p=e[h],d=e[f];o[2*c]=h,o[2*c+1]=f,l[c++]=(d-a)/(d-p)}}return t.shape[0]=c,n(l,[c])}(c,e,l,+r),h=function(t,e){var r=i.mallocInt32(2*e),n=t.shape[0],a=t.data;r[0]=0;for(var o=0,s=0;s<n;++s){var l=a[2*s];if(l!==o){for(r[2*o+1]=s;++o<l;)r[2*o]=s,r[2*o+1]=s;r[2*o]=s}}r[2*o+1]=n;for(;++o<e;)r[2*o]=r[2*o+1]=n;return r}(c,0|e.length),f=o(s)(t,c.data,h,l),p=function(t){for(var e=0|t.shape[0],r=t.data,n=new Array(e),i=0;i<e;++i)n[i]=[r[2*i],r[2*i+1]];return n}(c),d=[].slice.call(u.data,0,u.shape[0]);return i.free(l),i.free(c.data),i.free(u.data),i.free(h),{cells:f,vertexIds:p,vertexWeights:d}};var n=t("ndarray"),i=t("typedarray-pool"),a=t("ndarray-sort"),o=t("./lib/codegen")},{"./lib/codegen":529,ndarray:469,"ndarray-sort":468,"typedarray-pool":567}],529:[function(t,e,r){"use strict";e.exports=function(t){var e=a[t];e||(e=a[t]=function(t){var e=0,r=new Array(t+1);r[0]=[[]];for(var a=1;a<=t;++a)for(var o=r[a]=i(a),s=0;s<o.length;++s)e=Math.max(e,o[a].length);var l=["function B(C,E,i,j){","var a=Math.min(i,j)|0,b=Math.max(i,j)|0,l=C[2*a],h=C[2*a+1];","while(l<h){","var m=(l+h)>>1,v=E[2*m+1];","if(v===b){return m}","if(b<v){h=m}else{l=m+1}","}","return l;","};","function getContour",t,"d(F,E,C,S){","var n=F.length,R=[];","for(var i=0;i<n;++i){var c=F[i],l=c.length;"];function c(t){if(!(t.length<=0)){l.push("R.push(");for(var e=0;e<t.length;++e){var r=t[e];e>0&&l.push(","),l.push("[");for(var n=0;n<r.length;++n){var i=r[n];n>0&&l.push(","),l.push("B(C,E,c[",i[0],"],c[",i[1],"])")}l.push("]")}l.push(");")}}for(a=t+1;a>1;--a){a<t+1&&l.push("else "),l.push("if(l===",a,"){");var u=[];for(s=0;s<a;++s)u.push("(S[c["+s+"]]<<"+s+")");l.push("var M=",u.join("+"),";if(M===0||M===",(1<<a)-1,"){continue}switch(M){");for(o=r[a-1],s=0;s<o.length;++s)l.push("case ",s,":"),c(o[s]),l.push("break;");l.push("}}")}return l.push("}return R;};return getContour",t,"d"),new Function("pool",l.join(""))(n)}(t));return e};var n=t("typedarray-pool"),i=t("marching-simplex-table"),a={}},{"marching-simplex-table":448,"typedarray-pool":567}],530:[function(t,e,r){"use strict";var n=t("bit-twiddle"),i=t("union-find");function a(t,e){var r=t.length,n=t.length-e.length,i=Math.min;if(n)return n;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return(s=t[0]+t[1]-e[0]-e[1])||i(t[0],t[1])-i(e[0],e[1]);case 3:var a=t[0]+t[1],o=e[0]+e[1];if(s=a+t[2]-(o+e[2]))return s;var s,l=i(t[0],t[1]),c=i(e[0],e[1]);return(s=i(l,t[2])-i(c,e[2]))||i(l+t[2],a)-i(c+e[2],o);default:var u=t.slice(0);u.sort();var h=e.slice(0);h.sort();for(var f=0;f<r;++f)if(n=u[f]-h[f])return n;return 0}}function o(t,e){return a(t[0],e[0])}function s(t,e){if(e){for(var r=t.length,n=new Array(r),i=0;i<r;++i)n[i]=[t[i],e[i]];n.sort(o);for(i=0;i<r;++i)t[i]=n[i][0],e[i]=n[i][1];return t}return t.sort(a),t}function l(t){if(0===t.length)return[];for(var e=1,r=t.length,n=1;n<r;++n){var i=t[n];if(a(i,t[n-1])){if(n===e){e++;continue}t[e++]=i}}return t.length=e,t}function c(t,e){for(var r=0,n=t.length-1,i=-1;r<=n;){var o=r+n>>1,s=a(t[o],e);s<=0?(0===s&&(i=o),r=o+1):s>0&&(n=o-1)}return i}function u(t,e){for(var r=new Array(t.length),i=0,o=r.length;i<o;++i)r[i]=[];for(var s=[],l=(i=0,e.length);i<l;++i)for(var u=e[i],h=u.length,f=1,p=1<<h;f<p;++f){s.length=n.popCount(f);for(var d=0,g=0;g<h;++g)f&1<<g&&(s[d++]=u[g]);var m=c(t,s);if(!(m<0))for(;r[m++].push(i),!(m>=t.length||0!==a(t[m],s)););}return r}function h(t,e){if(e<0)return[];for(var r=[],i=(1<<e+1)-1,a=0;a<t.length;++a)for(var o=t[a],l=i;l<1<<o.length;l=n.nextCombination(l)){for(var c=new Array(e+1),u=0,h=0;h<o.length;++h)l&1<<h&&(c[u++]=o[h]);r.push(c)}return s(r)}r.dimension=function(t){for(var e=0,r=Math.max,n=0,i=t.length;n<i;++n)e=r(e,t[n].length);return e-1},r.countVertices=function(t){for(var e=-1,r=Math.max,n=0,i=t.length;n<i;++n)for(var a=t[n],o=0,s=a.length;o<s;++o)e=r(e,a[o]);return e+1},r.cloneCells=function(t){for(var e=new Array(t.length),r=0,n=t.length;r<n;++r)e[r]=t[r].slice(0);return e},r.compareCells=a,r.normalize=s,r.unique=l,r.findCell=c,r.incidence=u,r.dual=function(t,e){if(!e)return u(l(h(t,0)),t);for(var r=new Array(e),n=0;n<e;++n)r[n]=[];n=0;for(var i=t.length;n<i;++n)for(var a=t[n],o=0,s=a.length;o<s;++o)r[a[o]].push(n);return r},r.explode=function(t){for(var e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0|i.length,o=1,l=1<<a;o<l;++o){for(var c=[],u=0;u<a;++u)o>>>u&1&&c.push(i[u]);e.push(c)}return s(e)},r.skeleton=h,r.boundary=function(t){for(var e=[],r=0,n=t.length;r<n;++r)for(var i=t[r],a=0,o=i.length;a<o;++a){for(var l=new Array(i.length-1),c=0,u=0;c<o;++c)c!==a&&(l[u++]=i[c]);e.push(l)}return s(e)},r.connectedComponents=function(t,e){return e?function(t,e){for(var r=new i(e),n=0;n<t.length;++n)for(var a=t[n],o=0;o<a.length;++o)for(var s=o+1;s<a.length;++s)r.link(a[o],a[s]);var l=[],c=r.ranks;for(n=0;n<c.length;++n)c[n]=-1;for(n=0;n<t.length;++n){var u=r.find(t[n][0]);c[u]<0?(c[u]=l.length,l.push([t[n].slice(0)])):l[c[u]].push(t[n].slice(0))}return l}(t,e):function(t){for(var e=l(s(h(t,0))),r=new i(e.length),n=0;n<t.length;++n)for(var a=t[n],o=0;o<a.length;++o)for(var u=c(e,[a[o]]),f=o+1;f<a.length;++f)r.link(u,c(e,[a[f]]));var p=[],d=r.ranks;for(n=0;n<d.length;++n)d[n]=-1;for(n=0;n<t.length;++n){var g=r.find(c(e,[t[n][0]]));d[g]<0?(d[g]=p.length,p.push([t[n].slice(0)])):p[d[g]].push(t[n].slice(0))}return p}(t)}},{"bit-twiddle":97,"union-find":568}],531:[function(t,e,r){arguments[4][97][0].apply(r,arguments)},{dup:97}],532:[function(t,e,r){arguments[4][530][0].apply(r,arguments)},{"bit-twiddle":531,dup:530,"union-find":533}],533:[function(t,e,r){"use strict";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n,n.prototype.length=function(){return this.roots.length},n.prototype.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},n.prototype.find=function(t){for(var e=this.roots;e[t]!==t;){var r=e[t];e[t]=e[r],t=r}return t},n.prototype.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],534:[function(t,e,r){"use strict";e.exports=function(t,e,r){for(var a=e.length,o=t.length,s=new Array(a),l=new Array(a),c=new Array(a),u=new Array(a),h=0;h<a;++h)s[h]=l[h]=-1,c[h]=1/0,u[h]=!1;for(h=0;h<o;++h){var f=t[h];if(2!==f.length)throw new Error("Input must be a graph");var p=f[1],d=f[0];-1!==l[d]?l[d]=-2:l[d]=p,-1!==s[p]?s[p]=-2:s[p]=d}function g(t){if(u[t])return 1/0;var r,i,a,o,c,h=s[t],f=l[t];return h<0||f<0?1/0:(r=e[t],i=e[h],a=e[f],o=Math.abs(n(r,i,a)),c=Math.sqrt(Math.pow(i[0]-a[0],2)+Math.pow(i[1]-a[1],2)),o/c)}function m(t,e){var r=k[t],n=k[e];k[t]=n,k[e]=r,M[r]=e,M[n]=t}function v(t){return c[k[t]]}function y(t){return 1&t?t-1>>1:(t>>1)-1}function x(t){for(var e=v(t);;){var r=e,n=2*t+1,i=2*(t+1),a=t;if(n<A){var o=v(n);o<r&&(a=n,r=o)}if(i<A)v(i)<r&&(a=i);if(a===t)return t;m(t,a),t=a}}function b(t){for(var e=v(t);t>0;){var r=y(t);if(r>=0)if(e<v(r)){m(t,r),t=r;continue}return t}}function _(){if(A>0){var t=k[0];return m(0,A-1),A-=1,x(0),t}return-1}function w(t,e){var r=k[t];return c[r]===e?t:(c[r]=-1/0,b(t),_(),c[r]=e,b((A+=1)-1))}function T(t){if(!u[t]){u[t]=!0;var e=s[t],r=l[t];s[r]>=0&&(s[r]=e),l[e]>=0&&(l[e]=r),M[e]>=0&&w(M[e],g(e)),M[r]>=0&&w(M[r],g(r))}}var k=[],M=new Array(a);for(h=0;h<a;++h){(c[h]=g(h))<1/0?(M[h]=k.length,k.push(h)):M[h]=-1}var A=k.length;for(h=A>>1;h>=0;--h)x(h);for(;;){var S=_();if(S<0||c[S]>r)break;T(S)}var E=[];for(h=0;h<a;++h)u[h]||(M[h]=E.length,E.push(e[h].slice()));E.length;function C(t,e){if(t[e]<0)return e;var r=e,n=e;do{var i=t[n];if(!u[n]||i<0||i===n)break;if(i=t[n=i],!u[n]||i<0||i===n)break;n=i,r=t[r]}while(r!==n);for(var a=e;a!==n;a=t[a])t[a]=n;return n}var L=[];return t.forEach((function(t){var e=C(s,t[0]),r=C(l,t[1]);if(e>=0&&r>=0&&e!==r){var n=M[e],i=M[r];n!==i&&L.push([n,i])}})),i.unique(i.normalize(L)),{positions:E,edges:L}};var n=t("robust-orientation"),i=t("simplicial-complex")},{"robust-orientation":520,"simplicial-complex":532}],535:[function(t,e,r){"use strict";e.exports=function(t,e){var r,a,o,s;if(e[0][0]<e[1][0])r=e[0],a=e[1];else{if(!(e[0][0]>e[1][0]))return i(e,t);r=e[1],a=e[0]}if(t[0][0]<t[1][0])o=t[0],s=t[1];else{if(!(t[0][0]>t[1][0]))return-i(t,e);o=t[1],s=t[0]}var l=n(r,a,s),c=n(r,a,o);if(l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;if(l=n(s,o,a),c=n(s,o,r),l<0){if(c<=0)return l}else if(l>0){if(c>=0)return l}else if(c)return c;return a[0]-s[0]};var n=t("robust-orientation");function i(t,e){var r,i,a,o;if(e[0][0]<e[1][0])r=e[0],i=e[1];else{if(!(e[0][0]>e[1][0])){var s=Math.min(t[0][1],t[1][1]),l=Math.max(t[0][1],t[1][1]),c=Math.min(e[0][1],e[1][1]),u=Math.max(e[0][1],e[1][1]);return l<c?l-c:s>u?s-u:l-u}r=e[1],i=e[0]}t[0][1]<t[1][1]?(a=t[0],o=t[1]):(a=t[1],o=t[0]);var h=n(i,r,a);return h||((h=n(i,r,o))||o-i)}},{"robust-orientation":520}],536:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],537:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.length,r=2*e,n=new Array(r),a=0;a<e;++a){var l=t[a],c=l[0][0]<l[1][0];n[2*a]=new h(l[0][0],l,c,a),n[2*a+1]=new h(l[1][0],l,!c,a)}n.sort((function(t,e){var r=t.x-e.x;return r||((r=t.create-e.create)||Math.min(t.segment[0][1],t.segment[1][1])-Math.min(e.segment[0][1],e.segment[1][1]))}));var f=i(o),p=[],d=[],g=[];for(a=0;a<r;){for(var m=n[a].x,v=[];a<r;){var y=n[a];if(y.x!==m)break;a+=1,y.segment[0][0]===y.x&&y.segment[1][0]===y.x?y.create&&(y.segment[0][1]<y.segment[1][1]?(v.push(new u(y.segment[0][1],y.index,!0,!0)),v.push(new u(y.segment[1][1],y.index,!1,!1))):(v.push(new u(y.segment[1][1],y.index,!0,!1)),v.push(new u(y.segment[0][1],y.index,!1,!0)))):f=y.create?f.insert(y.segment,y.index):f.remove(y.segment)}p.push(f.root),d.push(m),g.push(v)}return new s(p,d,g)};var n=t("binary-search-bounds"),i=t("functional-red-black-tree"),a=t("robust-orientation"),o=t("./lib/order-segments");function s(t,e,r){this.slabs=t,this.coordinates=e,this.horizontal=r}function l(t,e){return t.y-e}function c(t,e){for(var r=null;t;){var n,i,o=t.key;o[0][0]<o[1][0]?(n=o[0],i=o[1]):(n=o[1],i=o[0]);var s=a(n,i,e);if(s<0)t=t.left;else if(s>0)if(e[0]!==o[1][0])r=t,t=t.right;else{if(l=c(t.right,e))return l;t=t.left}else{if(e[0]!==o[1][0])return t;var l;if(l=c(t.right,e))return l;t=t.left}}return r}function u(t,e,r,n){this.y=t,this.index=e,this.start=r,this.closed=n}function h(t,e,r,n){this.x=t,this.segment=e,this.create=r,this.index=n}s.prototype.castUp=function(t){var e=n.le(this.coordinates,t[0]);if(e<0)return-1;this.slabs[e];var r=c(this.slabs[e],t),i=-1;if(r&&(i=r.value),this.coordinates[e]===t[0]){var s=null;if(r&&(s=r.key),e>0){var u=c(this.slabs[e-1],t);u&&(s?o(u.key,s)>0&&(s=u.key,i=u.value):(i=u.value,s=u.key))}var h=this.horizontal[e];if(h.length>0){var f=n.ge(h,t[1],l);if(f<h.length){var p=h[f];if(t[1]===p.y){if(p.closed)return p.index;for(;f<h.length-1&&h[f+1].y===t[1];)if((p=h[f+=1]).closed)return p.index;if(p.y===t[1]&&!p.start){if((f+=1)>=h.length)return i;p=h[f]}}if(p.start)if(s){var d=a(s[0],s[1],[t[0],p.y]);s[0][0]>s[1][0]&&(d=-d),d>0&&(i=p.index)}else i=p.index;else p.y!==t[1]&&(i=p.index)}}}return i}},{"./lib/order-segments":535,"binary-search-bounds":536,"functional-red-black-tree":247,"robust-orientation":520}],538:[function(t,e,r){"use strict";var n=t("robust-dot-product"),i=t("robust-sum");function a(t,e){var r=i(n(t,e),[e[e.length-1]]);return r[r.length-1]}function o(t,e,r,n){var i=-e/(n-e);i<0?i=0:i>1&&(i=1);for(var a=1-i,o=t.length,s=new Array(o),l=0;l<o;++l)s[l]=i*t[l]+a*r[l];return s}e.exports=function(t,e){for(var r=[],n=[],i=a(t[t.length-1],e),s=t[t.length-1],l=t[0],c=0;c<t.length;++c,s=l){var u=a(l=t[c],e);if(i<0&&u>0||i>0&&u<0){var h=o(s,u,l,i);r.push(h),n.push(h.slice())}u<0?n.push(l.slice()):u>0?r.push(l.slice()):(r.push(l.slice()),n.push(l.slice())),i=u}return{positive:r,negative:n}},e.exports.positive=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l<t.length;++l,i=s){var c=a(s=t[l],e);(n<0&&c>0||n>0&&c<0)&&r.push(o(i,c,s,n)),c>=0&&r.push(s.slice()),n=c}return r},e.exports.negative=function(t,e){for(var r=[],n=a(t[t.length-1],e),i=t[t.length-1],s=t[0],l=0;l<t.length;++l,i=s){var c=a(s=t[l],e);(n<0&&c>0||n>0&&c<0)&&r.push(o(i,c,s,n)),c<=0&&r.push(s.slice()),n=c}return r}},{"robust-dot-product":517,"robust-sum":525}],539:[function(t,e,r){!function(){"use strict";var t={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\x25]+/,modulo:/^\x25{2}/,placeholder:/^\x25(?:([1-9]\d*)\$|\(([^)]+)\))?(\+)?(0|'[^$])?(-)?(\d+)?(?:\.(\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\d]*)/i,key_access:/^\.([a-z_][a-z_\d]*)/i,index_access:/^\[(\d+)\]/,sign:/^[+-]/};function e(t){return i(o(t),arguments)}function n(t,r){return e.apply(null,[t].concat(r||[]))}function i(r,n){var i,a,o,s,l,c,u,h,f,p=1,d=r.length,g="";for(a=0;a<d;a++)if("string"==typeof r[a])g+=r[a];else if("object"==typeof r[a]){if((s=r[a]).keys)for(i=n[p],o=0;o<s.keys.length;o++){if(null==i)throw new Error(e('[sprintf] Cannot access property "%s" of undefined value "%s"',s.keys[o],s.keys[o-1]));i=i[s.keys[o]]}else i=s.param_no?n[s.param_no]:n[p++];if(t.not_type.test(s.type)&&t.not_primitive.test(s.type)&&i instanceof Function&&(i=i()),t.numeric_arg.test(s.type)&&"number"!=typeof i&&isNaN(i))throw new TypeError(e("[sprintf] expecting number but found %T",i));switch(t.number.test(s.type)&&(h=i>=0),s.type){case"b":i=parseInt(i,10).toString(2);break;case"c":i=String.fromCharCode(parseInt(i,10));break;case"d":case"i":i=parseInt(i,10);break;case"j":i=JSON.stringify(i,null,s.width?parseInt(s.width):0);break;case"e":i=s.precision?parseFloat(i).toExponential(s.precision):parseFloat(i).toExponential();break;case"f":i=s.precision?parseFloat(i).toFixed(s.precision):parseFloat(i);break;case"g":i=s.precision?String(Number(i.toPrecision(s.precision))):parseFloat(i);break;case"o":i=(parseInt(i,10)>>>0).toString(8);break;case"s":i=String(i),i=s.precision?i.substring(0,s.precision):i;break;case"t":i=String(!!i),i=s.precision?i.substring(0,s.precision):i;break;case"T":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=s.precision?i.substring(0,s.precision):i;break;case"u":i=parseInt(i,10)>>>0;break;case"v":i=i.valueOf(),i=s.precision?i.substring(0,s.precision):i;break;case"x":i=(parseInt(i,10)>>>0).toString(16);break;case"X":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}t.json.test(s.type)?g+=i:(!t.number.test(s.type)||h&&!s.sign?f="":(f=h?"+":"-",i=i.toString().replace(t.sign,"")),c=s.pad_char?"0"===s.pad_char?"0":s.pad_char.charAt(1):" ",u=s.width-(f+i).length,l=s.width&&u>0?c.repeat(u):"",g+=s.align?f+i+l:"0"===c?f+l+i:l+f+i)}return g}var a=Object.create(null);function o(e){if(a[e])return a[e];for(var r,n=e,i=[],o=0;n;){if(null!==(r=t.text.exec(n)))i.push(r[0]);else if(null!==(r=t.modulo.exec(n)))i.push("%");else{if(null===(r=t.placeholder.exec(n)))throw new SyntaxError("[sprintf] unexpected placeholder");if(r[2]){o|=1;var s=[],l=r[2],c=[];if(null===(c=t.key.exec(l)))throw new SyntaxError("[sprintf] failed to parse named argument key");for(s.push(c[1]);""!==(l=l.substring(c[0].length));)if(null!==(c=t.key_access.exec(l)))s.push(c[1]);else{if(null===(c=t.index_access.exec(l)))throw new SyntaxError("[sprintf] failed to parse named argument key");s.push(c[1])}r[2]=s}else o|=2;if(3===o)throw new Error("[sprintf] mixing positional and named placeholders is not (yet) supported");i.push({placeholder:r[0],param_no:r[1],keys:r[2],sign:r[3],pad_char:r[4],align:r[5],width:r[6],precision:r[7],type:r[8]})}n=n.substring(r[0].length)}return a[e]=i}"undefined"!=typeof r&&(r.sprintf=e,r.vsprintf=n),"undefined"!=typeof window&&(window.sprintf=e,window.vsprintf=n)}()},{}],540:[function(t,e,r){"use strict";var n=t("parenthesis");e.exports=function(t,e,r){if(null==t)throw Error("First argument should be a string");if(null==e)throw Error("Separator should be a string or a RegExp");r?("string"==typeof r||Array.isArray(r))&&(r={ignore:r}):r={},null==r.escape&&(r.escape=!0),null==r.ignore?r.ignore=["[]","()","{}","<>",'""',"''","``","\u201c\u201d","\xab\xbb"]:("string"==typeof r.ignore&&(r.ignore=[r.ignore]),r.ignore=r.ignore.map((function(t){return 1===t.length&&(t+=t),t})));var i=n.parse(t,{flat:!0,brackets:r.ignore}),a=i[0].split(e);if(r.escape){for(var o=[],s=0;s<a.length;s++){var l=a[s],c=a[s+1];"\\"===l[l.length-1]&&"\\"!==l[l.length-2]?(o.push(l+e+c),s++):o.push(l)}a=o}for(s=0;s<a.length;s++)i[0]=a[s],a[s]=n.stringify(i,{flat:!0});return a}},{parenthesis:477}],541:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.length,r=new Array(e),n=new Array(e),i=new Array(e),a=new Array(e),o=new Array(e),s=new Array(e),l=0;l<e;++l)r[l]=-1,n[l]=0,i[l]=!1,a[l]=0,o[l]=-1,s[l]=[];var c,u=0,h=[],f=[];function p(e){var l=[e],c=[e];for(r[e]=n[e]=u,i[e]=!0,u+=1;c.length>0;){e=c[c.length-1];var p=t[e];if(a[e]<p.length){for(var d=a[e];d<p.length;++d){var g=p[d];if(r[g]<0){r[g]=n[g]=u,i[g]=!0,u+=1,l.push(g),c.push(g);break}i[g]&&(n[e]=0|Math.min(n[e],n[g])),o[g]>=0&&s[e].push(o[g])}a[e]=d}else{if(n[e]===r[e]){var m=[],v=[],y=0;for(d=l.length-1;d>=0;--d){var x=l[d];if(i[x]=!1,m.push(x),v.push(s[x]),y+=s[x].length,o[x]=h.length,x===e){l.length=d;break}}h.push(m);var b=new Array(y);for(d=0;d<v.length;d++)for(var _=0;_<v[d].length;_++)b[--y]=v[d][_];f.push(b)}c.pop()}}}for(l=0;l<e;++l)r[l]<0&&p(l);for(l=0;l<f.length;l++){var d=f[l];if(0!==d.length){d.sort((function(t,e){return t-e})),c=[d[0]];for(var g=1;g<d.length;g++)d[g]!==d[g-1]&&c.push(d[g]);f[l]=c}}return{components:h,adjacencyList:f}}},{}],542:[function(t,e,r){"use strict";e.exports=function(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return function(t,e){for(var r=a(t,e),n=r.length,i=new Array(n),o=new Array(n),s=0;s<n;++s)i[s]=[r[s]],o[s]=[s];return{positions:i,cells:o}}(t,e);var r=t.order.join()+"-"+t.dtype,s=o[r];e=+e||0;s||(s=o[r]=function(t,e){var r=t.length,a=["'use strict';"],o="surfaceNets"+t.join("_")+"d"+e;a.push("var contour=genContour({","order:[",t.join(),"],","scalarArguments: 3,","phase:function phaseFunc(p,a,b,c) { return (p > c)|0 },"),"generic"===e&&a.push("getters:[0],");for(var s=[],l=[],c=0;c<r;++c)s.push("d"+c),l.push("d"+c);for(c=0;c<1<<r;++c)s.push("v"+c),l.push("v"+c);for(c=0;c<1<<r;++c)s.push("p"+c),l.push("p"+c);s.push("a","b","c"),l.push("a","c"),a.push("vertex:function vertexFunc(",s.join(),"){");var u=[];for(c=0;c<1<<r;++c)u.push("(p"+c+"<<"+c+")");a.push("var m=(",u.join("+"),")|0;if(m===0||m===",(1<<(1<<r))-1,"){return}");var h=[],f=[];1<<(1<<r)<=128?(a.push("switch(m){"),f=a):a.push("switch(m>>>7){");for(c=0;c<1<<(1<<r);++c){if(1<<(1<<r)>128&&c%128==0){h.length>0&&f.push("}}");var p="vExtra"+h.length;a.push("case ",c>>>7,":",p,"(m&0x7f,",l.join(),");break;"),f=["function ",p,"(m,",l.join(),"){switch(m){"],h.push(f)}f.push("case ",127&c,":");for(var d=new Array(r),g=new Array(r),m=new Array(r),v=new Array(r),y=0,x=0;x<r;++x)d[x]=[],g[x]=[],m[x]=0,v[x]=0;for(x=0;x<1<<r;++x)for(var b=0;b<r;++b){var _=x^1<<b;if(!(_>x)&&!(c&1<<_)!=!(c&1<<x)){var w=1;c&1<<_?g[b].push("v"+_+"-v"+x):(g[b].push("v"+x+"-v"+_),w=-w),w<0?(d[b].push("-v"+x+"-v"+_),m[b]+=2):(d[b].push("v"+x+"+v"+_),m[b]-=2),y+=1;for(var T=0;T<r;++T)T!==b&&(_&1<<T?v[T]+=1:v[T]-=1)}}var k=[];for(b=0;b<r;++b)if(0===d[b].length)k.push("d"+b+"-0.5");else{var M="";m[b]<0?M=m[b]+"*c":m[b]>0&&(M="+"+m[b]+"*c");var A=d[b].length/y*.5,S=.5+v[b]/y*.5;k.push("d"+b+"-"+S+"-"+A+"*("+d[b].join("+")+M+")/("+g[b].join("+")+")")}f.push("a.push([",k.join(),"]);","break;")}a.push("}},"),h.length>0&&f.push("}}");var E=[];for(c=0;c<1<<r-1;++c)E.push("v"+c);E.push("c0","c1","p0","p1","a","b","c"),a.push("cell:function cellFunc(",E.join(),"){");var C=i(r-1);a.push("if(p0){b.push(",C.map((function(t){return"["+t.map((function(t){return"v"+t}))+"]"})).join(),")}else{b.push(",C.map((function(t){var e=t.slice();return e.reverse(),"["+e.map((function(t){return"v"+t}))+"]"})).join(),")}}});function ",o,"(array,level){var verts=[],cells=[];contour(array,verts,cells,level);return {positions:verts,cells:cells};} return ",o,";");for(c=0;c<h.length;++c)a.push(h[c].join(""));return new Function("genContour",a.join(""))(n)}(t.order,t.dtype));return s(t,e)};var n=t("ndarray-extract-contour"),i=t("triangulate-hypercube"),a=t("zero-crossings");var o={}},{"ndarray-extract-contour":461,"triangulate-hypercube":552,"zero-crossings":596}],543:[function(t,e,r){"use strict";Object.defineProperty(r,"__esModule",{value:!0});var n=function(t,e){if(Array.isArray(t))return t;if(Symbol.iterator in Object(t))return function(t,e){var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{!n&&s.return&&s.return()}finally{if(i)throw a}}return r}(t,e);throw new TypeError("Invalid attempt to destructure non-iterable instance")},i=2*Math.PI,a=function(t,e,r,n,i,a,o){var s=t.x,l=t.y;return{x:n*(s*=e)-i*(l*=r)+a,y:i*s+n*l+o}},o=function(t,e){var r=1.5707963267948966===e?.551915024494:-1.5707963267948966===e?-.551915024494:4/3*Math.tan(e/4),n=Math.cos(t),i=Math.sin(t),a=Math.cos(t+e),o=Math.sin(t+e);return[{x:n-i*r,y:i+n*r},{x:a+o*r,y:o-a*r},{x:a,y:o}]},s=function(t,e,r,n){var i=t*r+e*n;return i>1&&(i=1),i<-1&&(i=-1),(t*n-e*r<0?-1:1)*Math.acos(i)};r.default=function(t){var e=t.px,r=t.py,l=t.cx,c=t.cy,u=t.rx,h=t.ry,f=t.xAxisRotation,p=void 0===f?0:f,d=t.largeArcFlag,g=void 0===d?0:d,m=t.sweepFlag,v=void 0===m?0:m,y=[];if(0===u||0===h)return[];var x=Math.sin(p*i/360),b=Math.cos(p*i/360),_=b*(e-l)/2+x*(r-c)/2,w=-x*(e-l)/2+b*(r-c)/2;if(0===_&&0===w)return[];u=Math.abs(u),h=Math.abs(h);var T=Math.pow(_,2)/Math.pow(u,2)+Math.pow(w,2)/Math.pow(h,2);T>1&&(u*=Math.sqrt(T),h*=Math.sqrt(T));var k=function(t,e,r,n,a,o,l,c,u,h,f,p){var d=Math.pow(a,2),g=Math.pow(o,2),m=Math.pow(f,2),v=Math.pow(p,2),y=d*g-d*v-g*m;y<0&&(y=0),y/=d*v+g*m;var x=(y=Math.sqrt(y)*(l===c?-1:1))*a/o*p,b=y*-o/a*f,_=h*x-u*b+(t+r)/2,w=u*x+h*b+(e+n)/2,T=(f-x)/a,k=(p-b)/o,M=(-f-x)/a,A=(-p-b)/o,S=s(1,0,T,k),E=s(T,k,M,A);return 0===c&&E>0&&(E-=i),1===c&&E<0&&(E+=i),[_,w,S,E]}(e,r,l,c,u,h,g,v,x,b,_,w),M=n(k,4),A=M[0],S=M[1],E=M[2],C=M[3],L=Math.abs(C)/(i/4);Math.abs(1-L)<1e-7&&(L=1);var P=Math.max(Math.ceil(L),1);C/=P;for(var I=0;I<P;I++)y.push(o(E,C)),E+=C;return y.map((function(t){var e=a(t[0],u,h,b,x,A,S),r=e.x,n=e.y,i=a(t[1],u,h,b,x,A,S),o=i.x,s=i.y,l=a(t[2],u,h,b,x,A,S);return{x1:r,y1:n,x2:o,y2:s,x:l.x,y:l.y}}))},e.exports=r.default},{}],544:[function(t,e,r){"use strict";var n=t("parse-svg-path"),i=t("abs-svg-path"),a=t("normalize-svg-path"),o=t("is-svg-path"),s=t("assert");e.exports=function(t){Array.isArray(t)&&1===t.length&&"string"==typeof t[0]&&(t=t[0]);"string"==typeof t&&(s(o(t),"String is not an SVG path."),t=n(t));if(s(Array.isArray(t),"Argument should be a string or an array of path segments."),t=i(t),!(t=a(t)).length)return[0,0,0,0];for(var e=[1/0,1/0,-1/0,-1/0],r=0,l=t.length;r<l;r++)for(var c=t[r].slice(1),u=0;u<c.length;u+=2)c[u+0]<e[0]&&(e[0]=c[u+0]),c[u+1]<e[1]&&(e[1]=c[u+1]),c[u+0]>e[2]&&(e[2]=c[u+0]),c[u+1]>e[3]&&(e[3]=c[u+1]);return e}},{"abs-svg-path":65,assert:73,"is-svg-path":445,"normalize-svg-path":545,"parse-svg-path":479}],545:[function(t,e,r){"use strict";e.exports=function(t){for(var e,r=[],o=0,s=0,l=0,c=0,u=null,h=null,f=0,p=0,d=0,g=t.length;d<g;d++){var m=t[d],v=m[0];switch(v){case"M":l=m[1],c=m[2];break;case"A":var y=n({px:f,py:p,cx:m[6],cy:m[7],rx:m[1],ry:m[2],xAxisRotation:m[3],largeArcFlag:m[4],sweepFlag:m[5]});if(!y.length)continue;for(var x,b=0;b<y.length;b++)x=y[b],m=["C",x.x1,x.y1,x.x2,x.y2,x.x,x.y],b<y.length-1&&r.push(m);break;case"S":var _=f,w=p;"C"!=e&&"S"!=e||(_+=_-o,w+=w-s),m=["C",_,w,m[1],m[2],m[3],m[4]];break;case"T":"Q"==e||"T"==e?(u=2*f-u,h=2*p-h):(u=f,h=p),m=a(f,p,u,h,m[1],m[2]);break;case"Q":u=m[1],h=m[2],m=a(f,p,m[1],m[2],m[3],m[4]);break;case"L":m=i(f,p,m[1],m[2]);break;case"H":m=i(f,p,m[1],p);break;case"V":m=i(f,p,f,m[1]);break;case"Z":m=i(f,p,l,c)}e=v,f=m[m.length-2],p=m[m.length-1],m.length>4?(o=m[m.length-4],s=m[m.length-3]):(o=f,s=p),r.push(m)}return r};var n=t("svg-arc-to-cubic-bezier");function i(t,e,r,n){return["C",t,e,r,n,r,n]}function a(t,e,r,n,i,a){return["C",t/3+2/3*r,e/3+2/3*n,i/3+2/3*r,a/3+2/3*n,i,a]}},{"svg-arc-to-cubic-bezier":543}],546:[function(t,e,r){"use strict";var n,i=t("svg-path-bounds"),a=t("parse-svg-path"),o=t("draw-svg-path"),s=t("is-svg-path"),l=t("bitmap-sdf"),c=document.createElement("canvas"),u=c.getContext("2d");e.exports=function(t,e){if(!s(t))throw Error("Argument should be valid svg path string");e||(e={});var r,h;e.shape?(r=e.shape[0],h=e.shape[1]):(r=c.width=e.w||e.width||200,h=c.height=e.h||e.height||200);var f=Math.min(r,h),p=e.stroke||0,d=e.viewbox||e.viewBox||i(t),g=[r/(d[2]-d[0]),h/(d[3]-d[1])],m=Math.min(g[0]||0,g[1]||0)/2;u.fillStyle="black",u.fillRect(0,0,r,h),u.fillStyle="white",p&&("number"!=typeof p&&(p=1),u.strokeStyle=p>0?"white":"black",u.lineWidth=Math.abs(p));if(u.translate(.5*r,.5*h),u.scale(m,m),function(){if(null!=n)return n;var t=document.createElement("canvas").getContext("2d");if(t.canvas.width=t.canvas.height=1,!window.Path2D)return n=!1;var e=new Path2D("M0,0h1v1h-1v-1Z");t.fillStyle="black",t.fill(e);var r=t.getImageData(0,0,1,1);return n=r&&r.data&&255===r.data[3]}()){var v=new Path2D(t);u.fill(v),p&&u.stroke(v)}else{var y=a(t);o(u,y),u.fill(),p&&u.stroke()}return u.setTransform(1,0,0,1,0,0),l(u,{cutoff:null!=e.cutoff?e.cutoff:.5,radius:null!=e.radius?e.radius:.5*f})}},{"bitmap-sdf":98,"draw-svg-path":174,"is-svg-path":445,"parse-svg-path":479,"svg-path-bounds":544}],547:[function(t,e,r){(function(r){"use strict";e.exports=function t(e,r,i){i=i||{};var o=a[e];o||(o=a[e]={" ":{data:new Float32Array(0),shape:.2}});var s=o[r];if(!s)if(r.length<=1||!/\d/.test(r))s=o[r]=function(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o<e.length;++o)for(var s=e[o],l=0;l<3;++l){var c=r[s[l]];n[i++]=c[0],n[i++]=c[1]+1.4,a=Math.max(c[0],a)}return{data:n,shape:a}}(n(r,{triangles:!0,font:e,textAlign:i.textAlign||"left",textBaseline:"alphabetic",styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0}}));else{for(var l=r.split(/(\d|\s)/),c=new Array(l.length),u=0,h=0,f=0;f<l.length;++f)c[f]=t(e,l[f]),u+=c[f].data.length,h+=c[f].shape,f>0&&(h+=.02);var p=new Float32Array(u),d=0,g=-.5*h;for(f=0;f<c.length;++f){for(var m=c[f].data,v=0;v<m.length;v+=2)p[d++]=m[v]+g,p[d++]=m[v+1];g+=c[f].shape+.02}s=o[r]={data:p,shape:h}}return s};var n=t("vectorize-text"),i=window||r.global||{},a=i.__TEXT_CACHE||{};i.__TEXT_CACHE={}}).call(this,t("_process"))},{_process:500,"vectorize-text":572}],548:[function(t,e,r){!function(t){var r=/^\s+/,n=/\s+$/,i=0,a=t.round,o=t.min,s=t.max,l=t.random;function c(e,l){if(l=l||{},(e=e||"")instanceof c)return e;if(!(this instanceof c))return new c(e,l);var u=function(e){var i={r:0,g:0,b:0},a=1,l=null,c=null,u=null,h=!1,f=!1;"string"==typeof e&&(e=function(t){t=t.replace(r,"").replace(n,"").toLowerCase();var e,i=!1;if(S[t])t=S[t],i=!0;else if("transparent"==t)return{r:0,g:0,b:0,a:0,format:"name"};if(e=j.rgb.exec(t))return{r:e[1],g:e[2],b:e[3]};if(e=j.rgba.exec(t))return{r:e[1],g:e[2],b:e[3],a:e[4]};if(e=j.hsl.exec(t))return{h:e[1],s:e[2],l:e[3]};if(e=j.hsla.exec(t))return{h:e[1],s:e[2],l:e[3],a:e[4]};if(e=j.hsv.exec(t))return{h:e[1],s:e[2],v:e[3]};if(e=j.hsva.exec(t))return{h:e[1],s:e[2],v:e[3],a:e[4]};if(e=j.hex8.exec(t))return{r:I(e[1]),g:I(e[2]),b:I(e[3]),a:R(e[4]),format:i?"name":"hex8"};if(e=j.hex6.exec(t))return{r:I(e[1]),g:I(e[2]),b:I(e[3]),format:i?"name":"hex"};if(e=j.hex4.exec(t))return{r:I(e[1]+""+e[1]),g:I(e[2]+""+e[2]),b:I(e[3]+""+e[3]),a:R(e[4]+""+e[4]),format:i?"name":"hex8"};if(e=j.hex3.exec(t))return{r:I(e[1]+""+e[1]),g:I(e[2]+""+e[2]),b:I(e[3]+""+e[3]),format:i?"name":"hex"};return!1}(e));"object"==typeof e&&(U(e.r)&&U(e.g)&&U(e.b)?(p=e.r,d=e.g,g=e.b,i={r:255*L(p,255),g:255*L(d,255),b:255*L(g,255)},h=!0,f="%"===String(e.r).substr(-1)?"prgb":"rgb"):U(e.h)&&U(e.s)&&U(e.v)?(l=O(e.s),c=O(e.v),i=function(e,r,n){e=6*L(e,360),r=L(r,100),n=L(n,100);var i=t.floor(e),a=e-i,o=n*(1-r),s=n*(1-a*r),l=n*(1-(1-a)*r),c=i%6;return{r:255*[n,s,o,o,l,n][c],g:255*[l,n,n,s,o,o][c],b:255*[o,o,l,n,n,s][c]}}(e.h,l,c),h=!0,f="hsv"):U(e.h)&&U(e.s)&&U(e.l)&&(l=O(e.s),u=O(e.l),i=function(t,e,r){var n,i,a;function o(t,e,r){return r<0&&(r+=1),r>1&&(r-=1),r<1/6?t+6*(e-t)*r:r<.5?e:r<2/3?t+(e-t)*(2/3-r)*6:t}if(t=L(t,360),e=L(e,100),r=L(r,100),0===e)n=i=a=r;else{var s=r<.5?r*(1+e):r+e-r*e,l=2*r-s;n=o(l,s,t+1/3),i=o(l,s,t),a=o(l,s,t-1/3)}return{r:255*n,g:255*i,b:255*a}}(e.h,l,u),h=!0,f="hsl"),e.hasOwnProperty("a")&&(a=e.a));var p,d,g;return a=C(a),{ok:h,format:e.format||f,r:o(255,s(i.r,0)),g:o(255,s(i.g,0)),b:o(255,s(i.b,0)),a:a}}(e);this._originalInput=e,this._r=u.r,this._g=u.g,this._b=u.b,this._a=u.a,this._roundA=a(100*this._a)/100,this._format=l.format||u.format,this._gradientType=l.gradientType,this._r<1&&(this._r=a(this._r)),this._g<1&&(this._g=a(this._g)),this._b<1&&(this._b=a(this._b)),this._ok=u.ok,this._tc_id=i++}function u(t,e,r){t=L(t,255),e=L(e,255),r=L(r,255);var n,i,a=s(t,e,r),l=o(t,e,r),c=(a+l)/2;if(a==l)n=i=0;else{var u=a-l;switch(i=c>.5?u/(2-a-l):u/(a+l),a){case t:n=(e-r)/u+(e<r?6:0);break;case e:n=(r-t)/u+2;break;case r:n=(t-e)/u+4}n/=6}return{h:n,s:i,l:c}}function h(t,e,r){t=L(t,255),e=L(e,255),r=L(r,255);var n,i,a=s(t,e,r),l=o(t,e,r),c=a,u=a-l;if(i=0===a?0:u/a,a==l)n=0;else{switch(a){case t:n=(e-r)/u+(e<r?6:0);break;case e:n=(r-t)/u+2;break;case r:n=(t-e)/u+4}n/=6}return{h:n,s:i,v:c}}function f(t,e,r,n){var i=[z(a(t).toString(16)),z(a(e).toString(16)),z(a(r).toString(16))];return n&&i[0].charAt(0)==i[0].charAt(1)&&i[1].charAt(0)==i[1].charAt(1)&&i[2].charAt(0)==i[2].charAt(1)?i[0].charAt(0)+i[1].charAt(0)+i[2].charAt(0):i.join("")}function p(t,e,r,n){return[z(D(n)),z(a(t).toString(16)),z(a(e).toString(16)),z(a(r).toString(16))].join("")}function d(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.s-=e/100,r.s=P(r.s),c(r)}function g(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.s+=e/100,r.s=P(r.s),c(r)}function m(t){return c(t).desaturate(100)}function v(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.l+=e/100,r.l=P(r.l),c(r)}function y(t,e){e=0===e?0:e||10;var r=c(t).toRgb();return r.r=s(0,o(255,r.r-a(-e/100*255))),r.g=s(0,o(255,r.g-a(-e/100*255))),r.b=s(0,o(255,r.b-a(-e/100*255))),c(r)}function x(t,e){e=0===e?0:e||10;var r=c(t).toHsl();return r.l-=e/100,r.l=P(r.l),c(r)}function b(t,e){var r=c(t).toHsl(),n=(r.h+e)%360;return r.h=n<0?360+n:n,c(r)}function _(t){var e=c(t).toHsl();return e.h=(e.h+180)%360,c(e)}function w(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+120)%360,s:e.s,l:e.l}),c({h:(r+240)%360,s:e.s,l:e.l})]}function T(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+90)%360,s:e.s,l:e.l}),c({h:(r+180)%360,s:e.s,l:e.l}),c({h:(r+270)%360,s:e.s,l:e.l})]}function k(t){var e=c(t).toHsl(),r=e.h;return[c(t),c({h:(r+72)%360,s:e.s,l:e.l}),c({h:(r+216)%360,s:e.s,l:e.l})]}function M(t,e,r){e=e||6,r=r||30;var n=c(t).toHsl(),i=360/r,a=[c(t)];for(n.h=(n.h-(i*e>>1)+720)%360;--e;)n.h=(n.h+i)%360,a.push(c(n));return a}function A(t,e){e=e||6;for(var r=c(t).toHsv(),n=r.h,i=r.s,a=r.v,o=[],s=1/e;e--;)o.push(c({h:n,s:i,v:a})),a=(a+s)%1;return o}c.prototype={isDark:function(){return this.getBrightness()<128},isLight:function(){return!this.isDark()},isValid:function(){return this._ok},getOriginalInput:function(){return this._originalInput},getFormat:function(){return this._format},getAlpha:function(){return this._a},getBrightness:function(){var t=this.toRgb();return(299*t.r+587*t.g+114*t.b)/1e3},getLuminance:function(){var e,r,n,i=this.toRgb();return e=i.r/255,r=i.g/255,n=i.b/255,.2126*(e<=.03928?e/12.92:t.pow((e+.055)/1.055,2.4))+.7152*(r<=.03928?r/12.92:t.pow((r+.055)/1.055,2.4))+.0722*(n<=.03928?n/12.92:t.pow((n+.055)/1.055,2.4))},setAlpha:function(t){return this._a=C(t),this._roundA=a(100*this._a)/100,this},toHsv:function(){var t=h(this._r,this._g,this._b);return{h:360*t.h,s:t.s,v:t.v,a:this._a}},toHsvString:function(){var t=h(this._r,this._g,this._b),e=a(360*t.h),r=a(100*t.s),n=a(100*t.v);return 1==this._a?"hsv("+e+", "+r+"%, "+n+"%)":"hsva("+e+", "+r+"%, "+n+"%, "+this._roundA+")"},toHsl:function(){var t=u(this._r,this._g,this._b);return{h:360*t.h,s:t.s,l:t.l,a:this._a}},toHslString:function(){var t=u(this._r,this._g,this._b),e=a(360*t.h),r=a(100*t.s),n=a(100*t.l);return 1==this._a?"hsl("+e+", "+r+"%, "+n+"%)":"hsla("+e+", "+r+"%, "+n+"%, "+this._roundA+")"},toHex:function(t){return f(this._r,this._g,this._b,t)},toHexString:function(t){return"#"+this.toHex(t)},toHex8:function(t){return function(t,e,r,n,i){var o=[z(a(t).toString(16)),z(a(e).toString(16)),z(a(r).toString(16)),z(D(n))];if(i&&o[0].charAt(0)==o[0].charAt(1)&&o[1].charAt(0)==o[1].charAt(1)&&o[2].charAt(0)==o[2].charAt(1)&&o[3].charAt(0)==o[3].charAt(1))return o[0].charAt(0)+o[1].charAt(0)+o[2].charAt(0)+o[3].charAt(0);return o.join("")}(this._r,this._g,this._b,this._a,t)},toHex8String:function(t){return"#"+this.toHex8(t)},toRgb:function(){return{r:a(this._r),g:a(this._g),b:a(this._b),a:this._a}},toRgbString:function(){return 1==this._a?"rgb("+a(this._r)+", "+a(this._g)+", "+a(this._b)+")":"rgba("+a(this._r)+", "+a(this._g)+", "+a(this._b)+", "+this._roundA+")"},toPercentageRgb:function(){return{r:a(100*L(this._r,255))+"%",g:a(100*L(this._g,255))+"%",b:a(100*L(this._b,255))+"%",a:this._a}},toPercentageRgbString:function(){return 1==this._a?"rgb("+a(100*L(this._r,255))+"%, "+a(100*L(this._g,255))+"%, "+a(100*L(this._b,255))+"%)":"rgba("+a(100*L(this._r,255))+"%, "+a(100*L(this._g,255))+"%, "+a(100*L(this._b,255))+"%, "+this._roundA+")"},toName:function(){return 0===this._a?"transparent":!(this._a<1)&&(E[f(this._r,this._g,this._b,!0)]||!1)},toFilter:function(t){var e="#"+p(this._r,this._g,this._b,this._a),r=e,n=this._gradientType?"GradientType = 1, ":"";if(t){var i=c(t);r="#"+p(i._r,i._g,i._b,i._a)}return"progid:DXImageTransform.Microsoft.gradient("+n+"startColorstr="+e+",endColorstr="+r+")"},toString:function(t){var e=!!t;t=t||this._format;var r=!1,n=this._a<1&&this._a>=0;return e||!n||"hex"!==t&&"hex6"!==t&&"hex3"!==t&&"hex4"!==t&&"hex8"!==t&&"name"!==t?("rgb"===t&&(r=this.toRgbString()),"prgb"===t&&(r=this.toPercentageRgbString()),"hex"!==t&&"hex6"!==t||(r=this.toHexString()),"hex3"===t&&(r=this.toHexString(!0)),"hex4"===t&&(r=this.toHex8String(!0)),"hex8"===t&&(r=this.toHex8String()),"name"===t&&(r=this.toName()),"hsl"===t&&(r=this.toHslString()),"hsv"===t&&(r=this.toHsvString()),r||this.toHexString()):"name"===t&&0===this._a?this.toName():this.toRgbString()},clone:function(){return c(this.toString())},_applyModification:function(t,e){var r=t.apply(null,[this].concat([].slice.call(e)));return this._r=r._r,this._g=r._g,this._b=r._b,this.setAlpha(r._a),this},lighten:function(){return this._applyModification(v,arguments)},brighten:function(){return this._applyModification(y,arguments)},darken:function(){return this._applyModification(x,arguments)},desaturate:function(){return this._applyModification(d,arguments)},saturate:function(){return this._applyModification(g,arguments)},greyscale:function(){return this._applyModification(m,arguments)},spin:function(){return this._applyModification(b,arguments)},_applyCombination:function(t,e){return t.apply(null,[this].concat([].slice.call(e)))},analogous:function(){return this._applyCombination(M,arguments)},complement:function(){return this._applyCombination(_,arguments)},monochromatic:function(){return this._applyCombination(A,arguments)},splitcomplement:function(){return this._applyCombination(k,arguments)},triad:function(){return this._applyCombination(w,arguments)},tetrad:function(){return this._applyCombination(T,arguments)}},c.fromRatio=function(t,e){if("object"==typeof t){var r={};for(var n in t)t.hasOwnProperty(n)&&(r[n]="a"===n?t[n]:O(t[n]));t=r}return c(t,e)},c.equals=function(t,e){return!(!t||!e)&&c(t).toRgbString()==c(e).toRgbString()},c.random=function(){return c.fromRatio({r:l(),g:l(),b:l()})},c.mix=function(t,e,r){r=0===r?0:r||50;var n=c(t).toRgb(),i=c(e).toRgb(),a=r/100;return c({r:(i.r-n.r)*a+n.r,g:(i.g-n.g)*a+n.g,b:(i.b-n.b)*a+n.b,a:(i.a-n.a)*a+n.a})},c.readability=function(e,r){var n=c(e),i=c(r);return(t.max(n.getLuminance(),i.getLuminance())+.05)/(t.min(n.getLuminance(),i.getLuminance())+.05)},c.isReadable=function(t,e,r){var n,i,a=c.readability(t,e);switch(i=!1,(n=function(t){var e,r;e=((t=t||{level:"AA",size:"small"}).level||"AA").toUpperCase(),r=(t.size||"small").toLowerCase(),"AA"!==e&&"AAA"!==e&&(e="AA");"small"!==r&&"large"!==r&&(r="small");return{level:e,size:r}}(r)).level+n.size){case"AAsmall":case"AAAlarge":i=a>=4.5;break;case"AAlarge":i=a>=3;break;case"AAAsmall":i=a>=7}return i},c.mostReadable=function(t,e,r){var n,i,a,o,s=null,l=0;i=(r=r||{}).includeFallbackColors,a=r.level,o=r.size;for(var u=0;u<e.length;u++)(n=c.readability(t,e[u]))>l&&(l=n,s=c(e[u]));return c.isReadable(t,s,{level:a,size:o})||!i?s:(r.includeFallbackColors=!1,c.mostReadable(t,["#fff","#000"],r))};var S=c.names={aliceblue:"f0f8ff",antiquewhite:"faebd7",aqua:"0ff",aquamarine:"7fffd4",azure:"f0ffff",beige:"f5f5dc",bisque:"ffe4c4",black:"000",blanchedalmond:"ffebcd",blue:"00f",blueviolet:"8a2be2",brown:"a52a2a",burlywood:"deb887",burntsienna:"ea7e5d",cadetblue:"5f9ea0",chartreuse:"7fff00",chocolate:"d2691e",coral:"ff7f50",cornflowerblue:"6495ed",cornsilk:"fff8dc",crimson:"dc143c",cyan:"0ff",darkblue:"00008b",darkcyan:"008b8b",darkgoldenrod:"b8860b",darkgray:"a9a9a9",darkgreen:"006400",darkgrey:"a9a9a9",darkkhaki:"bdb76b",darkmagenta:"8b008b",darkolivegreen:"556b2f",darkorange:"ff8c00",darkorchid:"9932cc",darkred:"8b0000",darksalmon:"e9967a",darkseagreen:"8fbc8f",darkslateblue:"483d8b",darkslategray:"2f4f4f",darkslategrey:"2f4f4f",darkturquoise:"00ced1",darkviolet:"9400d3",deeppink:"ff1493",deepskyblue:"00bfff",dimgray:"696969",dimgrey:"696969",dodgerblue:"1e90ff",firebrick:"b22222",floralwhite:"fffaf0",forestgreen:"228b22",fuchsia:"f0f",gainsboro:"dcdcdc",ghostwhite:"f8f8ff",gold:"ffd700",goldenrod:"daa520",gray:"808080",green:"008000",greenyellow:"adff2f",grey:"808080",honeydew:"f0fff0",hotpink:"ff69b4",indianred:"cd5c5c",indigo:"4b0082",ivory:"fffff0",khaki:"f0e68c",lavender:"e6e6fa",lavenderblush:"fff0f5",lawngreen:"7cfc00",lemonchiffon:"fffacd",lightblue:"add8e6",lightcoral:"f08080",lightcyan:"e0ffff",lightgoldenrodyellow:"fafad2",lightgray:"d3d3d3",lightgreen:"90ee90",lightgrey:"d3d3d3",lightpink:"ffb6c1",lightsalmon:"ffa07a",lightseagreen:"20b2aa",lightskyblue:"87cefa",lightslategray:"789",lightslategrey:"789",lightsteelblue:"b0c4de",lightyellow:"ffffe0",lime:"0f0",limegreen:"32cd32",linen:"faf0e6",magenta:"f0f",maroon:"800000",mediumaquamarine:"66cdaa",mediumblue:"0000cd",mediumorchid:"ba55d3",mediumpurple:"9370db",mediumseagreen:"3cb371",mediumslateblue:"7b68ee",mediumspringgreen:"00fa9a",mediumturquoise:"48d1cc",mediumvioletred:"c71585",midnightblue:"191970",mintcream:"f5fffa",mistyrose:"ffe4e1",moccasin:"ffe4b5",navajowhite:"ffdead",navy:"000080",oldlace:"fdf5e6",olive:"808000",olivedrab:"6b8e23",orange:"ffa500",orangered:"ff4500",orchid:"da70d6",palegoldenrod:"eee8aa",palegreen:"98fb98",paleturquoise:"afeeee",palevioletred:"db7093",papayawhip:"ffefd5",peachpuff:"ffdab9",peru:"cd853f",pink:"ffc0cb",plum:"dda0dd",powderblue:"b0e0e6",purple:"800080",rebeccapurple:"663399",red:"f00",rosybrown:"bc8f8f",royalblue:"4169e1",saddlebrown:"8b4513",salmon:"fa8072",sandybrown:"f4a460",seagreen:"2e8b57",seashell:"fff5ee",sienna:"a0522d",silver:"c0c0c0",skyblue:"87ceeb",slateblue:"6a5acd",slategray:"708090",slategrey:"708090",snow:"fffafa",springgreen:"00ff7f",steelblue:"4682b4",tan:"d2b48c",teal:"008080",thistle:"d8bfd8",tomato:"ff6347",turquoise:"40e0d0",violet:"ee82ee",wheat:"f5deb3",white:"fff",whitesmoke:"f5f5f5",yellow:"ff0",yellowgreen:"9acd32"},E=c.hexNames=function(t){var e={};for(var r in t)t.hasOwnProperty(r)&&(e[t[r]]=r);return e}(S);function C(t){return t=parseFloat(t),(isNaN(t)||t<0||t>1)&&(t=1),t}function L(e,r){(function(t){return"string"==typeof t&&-1!=t.indexOf(".")&&1===parseFloat(t)})(e)&&(e="100%");var n=function(t){return"string"==typeof t&&-1!=t.indexOf("%")}(e);return e=o(r,s(0,parseFloat(e))),n&&(e=parseInt(e*r,10)/100),t.abs(e-r)<1e-6?1:e%r/parseFloat(r)}function P(t){return o(1,s(0,t))}function I(t){return parseInt(t,16)}function z(t){return 1==t.length?"0"+t:""+t}function O(t){return t<=1&&(t=100*t+"%"),t}function D(e){return t.round(255*parseFloat(e)).toString(16)}function R(t){return I(t)/255}var F,B,N,j=(B="[\\s|\\(]+("+(F="(?:[-\\+]?\\d*\\.\\d+%?)|(?:[-\\+]?\\d+%?)")+")[,|\\s]+("+F+")[,|\\s]+("+F+")\\s*\\)?",N="[\\s|\\(]+("+F+")[,|\\s]+("+F+")[,|\\s]+("+F+")[,|\\s]+("+F+")\\s*\\)?",{CSS_UNIT:new RegExp(F),rgb:new RegExp("rgb"+B),rgba:new RegExp("rgba"+N),hsl:new RegExp("hsl"+B),hsla:new RegExp("hsla"+N),hsv:new RegExp("hsv"+B),hsva:new RegExp("hsva"+N),hex3:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex6:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/,hex4:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex8:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/});function U(t){return!!j.CSS_UNIT.exec(t)}"undefined"!=typeof e&&e.exports?e.exports=c:window.tinycolor=c}(Math)},{}],549:[function(t,e,r){"use strict";e.exports=i,e.exports.float32=e.exports.float=i,e.exports.fract32=e.exports.fract=function(t){if(t.length){for(var e=i(t),r=0,n=e.length;r<n;r++)e[r]=t[r]-e[r];return e}return i(t-i(t))};var n=new Float32Array(1);function i(t){if(t.length){if(t instanceof Float32Array)return t;var e=new Float32Array(t);return e.set(t),e}return n[0]=t,n[0]}},{}],550:[function(t,e,r){"use strict";var n=t("parse-unit");e.exports=a;function i(t,e){var r=n(getComputedStyle(t).getPropertyValue(e));return r[0]*a(r[1],t)}function a(t,e){switch(e=e||document.body,t=(t||"px").trim().toLowerCase(),e!==window&&e!==document||(e=document.body),t){case"%":return e.clientHeight/100;case"ch":case"ex":return function(t,e){var r=document.createElement("div");r.style["font-size"]="128"+t,e.appendChild(r);var n=i(r,"font-size")/128;return e.removeChild(r),n}(t,e);case"em":return i(e,"font-size");case"rem":return i(document.body,"font-size");case"vw":return window.innerWidth/100;case"vh":return window.innerHeight/100;case"vmin":return Math.min(window.innerWidth,window.innerHeight)/100;case"vmax":return Math.max(window.innerWidth,window.innerHeight)/100;case"in":return 96;case"cm":return 96/2.54;case"mm":return 96/25.4;case"pt":return 96/72;case"pc":return 16}return 1}},{"parse-unit":480}],551:[function(t,e,r){!function(t,n){"object"==typeof r&&"undefined"!=typeof e?n(r):n((t=t||self).topojson=t.topojson||{})}(this,(function(t){"use strict";function e(t){return t}function r(t){if(null==t)return e;var r,n,i=t.scale[0],a=t.scale[1],o=t.translate[0],s=t.translate[1];return function(t,e){e||(r=n=0);var l=2,c=t.length,u=new Array(c);for(u[0]=(r+=t[0])*i+o,u[1]=(n+=t[1])*a+s;l<c;)u[l]=t[l],++l;return u}}function n(t){var e,n=r(t.transform),i=1/0,a=i,o=-i,s=-i;function l(t){(t=n(t))[0]<i&&(i=t[0]),t[0]>o&&(o=t[0]),t[1]<a&&(a=t[1]),t[1]>s&&(s=t[1])}function c(t){switch(t.type){case"GeometryCollection":t.geometries.forEach(c);break;case"Point":l(t.coordinates);break;case"MultiPoint":t.coordinates.forEach(l)}}for(e in t.arcs.forEach((function(t){for(var e,r=-1,l=t.length;++r<l;)(e=n(t[r],r))[0]<i&&(i=e[0]),e[0]>o&&(o=e[0]),e[1]<a&&(a=e[1]),e[1]>s&&(s=e[1])})),t.objects)c(t.objects[e]);return[i,a,o,s]}function i(t,e){var r=e.id,n=e.bbox,i=null==e.properties?{}:e.properties,o=a(t,e);return null==r&&null==n?{type:"Feature",properties:i,geometry:o}:null==n?{type:"Feature",id:r,properties:i,geometry:o}:{type:"Feature",id:r,bbox:n,properties:i,geometry:o}}function a(t,e){var n=r(t.transform),i=t.arcs;function a(t,e){e.length&&e.pop();for(var r=i[t<0?~t:t],a=0,o=r.length;a<o;++a)e.push(n(r[a],a));t<0&&function(t,e){for(var r,n=t.length,i=n-e;i<--n;)r=t[i],t[i++]=t[n],t[n]=r}(e,o)}function o(t){return n(t)}function s(t){for(var e=[],r=0,n=t.length;r<n;++r)a(t[r],e);return e.length<2&&e.push(e[0]),e}function l(t){for(var e=s(t);e.length<4;)e.push(e[0]);return e}function c(t){return t.map(l)}return function t(e){var r,n=e.type;switch(n){case"GeometryCollection":return{type:n,geometries:e.geometries.map(t)};case"Point":r=o(e.coordinates);break;case"MultiPoint":r=e.coordinates.map(o);break;case"LineString":r=s(e.arcs);break;case"MultiLineString":r=e.arcs.map(s);break;case"Polygon":r=c(e.arcs);break;case"MultiPolygon":r=e.arcs.map(c);break;default:return null}return{type:n,coordinates:r}}(e)}function o(t,e){var r={},n={},i={},a=[],o=-1;function s(t,e){for(var n in t){var i=t[n];delete e[i.start],delete i.start,delete i.end,i.forEach((function(t){r[t<0?~t:t]=1})),a.push(i)}}return e.forEach((function(r,n){var i,a=t.arcs[r<0?~r:r];a.length<3&&!a[1][0]&&!a[1][1]&&(i=e[++o],e[o]=r,e[n]=i)})),e.forEach((function(e){var r,a,o=function(e){var r,n=t.arcs[e<0?~e:e],i=n[0];t.transform?(r=[0,0],n.forEach((function(t){r[0]+=t[0],r[1]+=t[1]}))):r=n[n.length-1];return e<0?[r,i]:[i,r]}(e),s=o[0],l=o[1];if(r=i[s])if(delete i[r.end],r.push(e),r.end=l,a=n[l]){delete n[a.start];var c=a===r?r:r.concat(a);n[c.start=r.start]=i[c.end=a.end]=c}else n[r.start]=i[r.end]=r;else if(r=n[l])if(delete n[r.start],r.unshift(e),r.start=s,a=i[s]){delete i[a.end];var u=a===r?r:a.concat(r);n[u.start=a.start]=i[u.end=r.end]=u}else n[r.start]=i[r.end]=r;else n[(r=[e]).start=s]=i[r.end=l]=r})),s(i,n),s(n,i),e.forEach((function(t){r[t<0?~t:t]||a.push([t])})),a}function s(t,e,r){var n,i,a;if(arguments.length>1)n=l(t,e,r);else for(i=0,n=new Array(a=t.arcs.length);i<a;++i)n[i]=i;return{type:"MultiLineString",arcs:o(t,n)}}function l(t,e,r){var n,i=[],a=[];function o(t){var e=t<0?~t:t;(a[e]||(a[e]=[])).push({i:t,g:n})}function s(t){t.forEach(o)}function l(t){t.forEach(s)}return function t(e){switch(n=e,e.type){case"GeometryCollection":e.geometries.forEach(t);break;case"LineString":s(e.arcs);break;case"MultiLineString":case"Polygon":l(e.arcs);break;case"MultiPolygon":!function(t){t.forEach(l)}(e.arcs)}}(e),a.forEach(null==r?function(t){i.push(t[0].i)}:function(t){r(t[0].g,t[t.length-1].g)&&i.push(t[0].i)}),i}function c(t,e){var r={},n=[],i=[];function s(t){t.forEach((function(e){e.forEach((function(e){(r[e=e<0?~e:e]||(r[e]=[])).push(t)}))})),n.push(t)}function l(e){return function(t){for(var e,r=-1,n=t.length,i=t[n-1],a=0;++r<n;)e=i,i=t[r],a+=e[0]*i[1]-e[1]*i[0];return Math.abs(a)}(a(t,{type:"Polygon",arcs:[e]}).coordinates[0])}return e.forEach((function t(e){switch(e.type){case"GeometryCollection":e.geometries.forEach(t);break;case"Polygon":s(e.arcs);break;case"MultiPolygon":e.arcs.forEach(s)}})),n.forEach((function(t){if(!t._){var e=[],n=[t];for(t._=1,i.push(e);t=n.pop();)e.push(t),t.forEach((function(t){t.forEach((function(t){r[t<0?~t:t].forEach((function(t){t._||(t._=1,n.push(t))}))}))}))}})),n.forEach((function(t){delete t._})),{type:"MultiPolygon",arcs:i.map((function(e){var n,i=[];if(e.forEach((function(t){t.forEach((function(t){t.forEach((function(t){r[t<0?~t:t].length<2&&i.push(t)}))}))})),(n=(i=o(t,i)).length)>1)for(var a,s,c=1,u=l(i[0]);c<n;++c)(a=l(i[c]))>u&&(s=i[0],i[0]=i[c],i[c]=s,u=a);return i})).filter((function(t){return t.length>0}))}}function u(t,e){for(var r=0,n=t.length;r<n;){var i=r+n>>>1;t[i]<e?r=i+1:n=i}return r}function h(t){if(null==t)return e;var r,n,i=t.scale[0],a=t.scale[1],o=t.translate[0],s=t.translate[1];return function(t,e){e||(r=n=0);var l=2,c=t.length,u=new Array(c),h=Math.round((t[0]-o)/i),f=Math.round((t[1]-s)/a);for(u[0]=h-r,r=h,u[1]=f-n,n=f;l<c;)u[l]=t[l],++l;return u}}t.bbox=n,t.feature=function(t,e){return"string"==typeof e&&(e=t.objects[e]),"GeometryCollection"===e.type?{type:"FeatureCollection",features:e.geometries.map((function(e){return i(t,e)}))}:i(t,e)},t.merge=function(t){return a(t,c.apply(this,arguments))},t.mergeArcs=c,t.mesh=function(t){return a(t,s.apply(this,arguments))},t.meshArcs=s,t.neighbors=function(t){var e={},r=t.map((function(){return[]}));function n(t,r){t.forEach((function(t){t<0&&(t=~t);var n=e[t];n?n.push(r):e[t]=[r]}))}function i(t,e){t.forEach((function(t){n(t,e)}))}var a={LineString:n,MultiLineString:i,Polygon:i,MultiPolygon:function(t,e){t.forEach((function(t){i(t,e)}))}};for(var o in t.forEach((function t(e,r){"GeometryCollection"===e.type?e.geometries.forEach((function(e){t(e,r)})):e.type in a&&a[e.type](e.arcs,r)})),e)for(var s=e[o],l=s.length,c=0;c<l;++c)for(var h=c+1;h<l;++h){var f,p=s[c],d=s[h];(f=r[p])[o=u(f,d)]!==d&&f.splice(o,0,d),(f=r[d])[o=u(f,p)]!==p&&f.splice(o,0,p)}return r},t.quantize=function(t,e){if(t.transform)throw new Error("already quantized");if(e&&e.scale)l=t.bbox;else{if(!((r=Math.floor(e))>=2))throw new Error("n must be \u22652");var r,i=(l=t.bbox||n(t))[0],a=l[1],o=l[2],s=l[3];e={scale:[o-i?(o-i)/(r-1):1,s-a?(s-a)/(r-1):1],translate:[i,a]}}var l,c,u=h(e),f=t.objects,p={};function d(t){return u(t)}function g(t){var e;switch(t.type){case"GeometryCollection":e={type:"GeometryCollection",geometries:t.geometries.map(g)};break;case"Point":e={type:"Point",coordinates:d(t.coordinates)};break;case"MultiPoint":e={type:"MultiPoint",coordinates:t.coordinates.map(d)};break;default:return t}return null!=t.id&&(e.id=t.id),null!=t.bbox&&(e.bbox=t.bbox),null!=t.properties&&(e.properties=t.properties),e}for(c in f)p[c]=g(f[c]);return{type:"Topology",bbox:l,transform:e,objects:p,arcs:t.arcs.map((function(t){var e,r=0,n=1,i=t.length,a=new Array(i);for(a[0]=u(t[0],0);++r<i;)((e=u(t[r],r))[0]||e[1])&&(a[n++]=e);return 1===n&&(a[n++]=[0,0]),a.length=n,a}))}},t.transform=r,t.untransform=h,Object.defineProperty(t,"__esModule",{value:!0})}))},{}],552:[function(t,e,r){"use strict";e.exports=function(t){if(t<0)return[];if(0===t)return[[0]];for(var e=0|Math.round(a(t+1)),r=[],o=0;o<e;++o){for(var s=n.unrank(t,o),l=[0],c=0,u=0;u<s.length;++u)c+=1<<s[u],l.push(c);i(s)<1&&(l[0]=c,l[t]=0),r.push(l)}return r};var n=t("permutation-rank"),i=t("permutation-parity"),a=t("gamma")},{gamma:248,"permutation-parity":483,"permutation-rank":484}],553:[function(t,e,r){"use strict";e.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.up||[0,1,0],n=t.right||h(r),i=t.radius||1,a=t.theta||0,u=t.phi||0;if(e=[].slice.call(e,0,3),r=[].slice.call(r,0,3),s(r,r),n=[].slice.call(n,0,3),s(n,n),"eye"in t){var p=t.eye,d=[p[0]-e[0],p[1]-e[1],p[2]-e[2]];o(n,d,r),c(n[0],n[1],n[2])<1e-6?n=h(r):s(n,n),i=c(d[0],d[1],d[2]);var g=l(r,d)/i,m=l(n,d)/i;u=Math.acos(g),a=Math.acos(m)}return i=Math.log(i),new f(t.zoomMin,t.zoomMax,e,r,n,i,a,u)};var n=t("filtered-vector"),i=t("gl-mat4/invert"),a=t("gl-mat4/rotate"),o=t("gl-vec3/cross"),s=t("gl-vec3/normalize"),l=t("gl-vec3/dot");function c(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t){return Math.min(1,Math.max(-1,t))}function h(t){var e=Math.abs(t[0]),r=Math.abs(t[1]),n=Math.abs(t[2]),i=[0,0,0];e>Math.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function f(t,e,r,i,a,o,s,l){this.center=n(r),this.up=n(i),this.right=n(a),this.radius=n([o]),this.angle=n([s,l]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=f.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var h=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=h;var f=this.computedToward;o(f,e,r),s(f,f);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],g=this.computedAngle[1],m=Math.cos(d),v=Math.sin(d),y=Math.cos(g),x=Math.sin(g),b=this.computedCenter,_=m*y,w=v*y,T=x,k=-m*x,M=-v*x,A=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var C=_*r[a]+w*f[a]+T*e[a];E[4*a+1]=k*r[a]+M*f[a]+A*e[a],E[4*a+2]=C,E[4*a+3]=0}var L=E[1],P=E[5],I=E[9],z=E[2],O=E[6],D=E[10],R=P*D-I*O,F=I*z-L*D,B=L*O-P*z,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),g=(u/=d)*e+a*r,m=(h/=d)*e+o*r,v=(f/=d)*e+s*r;this.center.move(t,g,m,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===a){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*f-o*h,m=o*l-i*f,v=i*h-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*h+o*f,M=g*l+m*h+v*f,A=(b/=T)*l+(_/=T)*h+(w/=T)*f,S=Math.asin(u(k)),E=Math.atan2(A,M),C=this.angle._state,L=C[C.length-1],P=C[C.length-2];L%=2*Math.PI;var I=Math.abs(L+2*Math.PI-E),z=Math.abs(L-E),O=Math.abs(L-2*Math.PI-E);I<z&&(L+=2*Math.PI),O<z&&(L-=2*Math.PI),this.angle.jump(this.angle.lastT(),L,P),this.angle.set(t,E,S)}}}}},{"filtered-vector":242,"gl-mat4/invert":278,"gl-mat4/rotate":283,"gl-vec3/cross":339,"gl-vec3/dot":344,"gl-vec3/normalize":361}],554:[function(t,e,r){"use strict";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=i,r;return[h,i]};var n=+(Math.pow(2,27)+1)},{}],555:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],556:[function(t,e,r){"use strict";var n=t("../prototype/is");e.exports=function(t){if("function"!=typeof t)return!1;if(!hasOwnProperty.call(t,"length"))return!1;try{if("number"!=typeof t.length)return!1;if("function"!=typeof t.call)return!1;if("function"!=typeof t.apply)return!1}catch(t){return!1}return!n(t)}},{"../prototype/is":563}],557:[function(t,e,r){"use strict";var n=t("../value/is"),i=t("../object/is"),a=t("../string/coerce"),o=t("./to-short-string"),s=function(t,e){return t.replace("%v",o(e))};e.exports=function(t,e,r){if(!i(r))throw new TypeError(s(e,t));if(!n(t)){if("default"in r)return r.default;if(r.isOptional)return null}var o=a(r.errorMessage);throw n(o)||(o=e),new TypeError(s(o,t))}},{"../object/is":560,"../string/coerce":564,"../value/is":566,"./to-short-string":559}],558:[function(t,e,r){"use strict";e.exports=function(t){try{return t.toString()}catch(e){try{return String(t)}catch(t){return null}}}},{}],559:[function(t,e,r){"use strict";var n=t("./safe-to-string"),i=/[\n\r\u2028\u2029]/g;e.exports=function(t){var e=n(t);return null===e?"<Non-coercible to string value>":(e.length>100&&(e=e.slice(0,99)+"\u2026"),e=e.replace(i,(function(t){switch(t){case"\n":return"\\n";case"\r":return"\\r";case"\u2028":return"\\u2028";case"\u2029":return"\\u2029";default:throw new Error("Unexpected character")}})))}},{"./safe-to-string":558}],560:[function(t,e,r){"use strict";var n=t("../value/is"),i={object:!0,function:!0,undefined:!0};e.exports=function(t){return!!n(t)&&hasOwnProperty.call(i,typeof t)}},{"../value/is":566}],561:[function(t,e,r){"use strict";var n=t("../lib/resolve-exception"),i=t("./is");e.exports=function(t){return i(t)?t:n(t,"%v is not a plain function",arguments[1])}},{"../lib/resolve-exception":557,"./is":562}],562:[function(t,e,r){"use strict";var n=t("../function/is"),i=/^\s*class[\s{/}]/,a=Function.prototype.toString;e.exports=function(t){return!!n(t)&&!i.test(a.call(t))}},{"../function/is":556}],563:[function(t,e,r){"use strict";var n=t("../object/is");e.exports=function(t){if(!n(t))return!1;try{return!!t.constructor&&t.constructor.prototype===t}catch(t){return!1}}},{"../object/is":560}],564:[function(t,e,r){"use strict";var n=t("../value/is"),i=t("../object/is"),a=Object.prototype.toString;e.exports=function(t){if(!n(t))return null;if(i(t)){var e=t.toString;if("function"!=typeof e)return null;if(e===a)return null}try{return""+t}catch(t){return null}}},{"../object/is":560,"../value/is":566}],565:[function(t,e,r){"use strict";var n=t("../lib/resolve-exception"),i=t("./is");e.exports=function(t){return i(t)?t:n(t,"Cannot use %v",arguments[1])}},{"../lib/resolve-exception":557,"./is":566}],566:[function(t,e,r){"use strict";e.exports=function(t){return null!=t}},{}],567:[function(t,e,r){(function(e){"use strict";var n=t("bit-twiddle"),i=t("dup"),a=t("buffer").Buffer;e.__TYPEDARRAY_POOL||(e.__TYPEDARRAY_POOL={UINT8:i([32,0]),UINT16:i([32,0]),UINT32:i([32,0]),BIGUINT64:i([32,0]),INT8:i([32,0]),INT16:i([32,0]),INT32:i([32,0]),BIGINT64:i([32,0]),FLOAT:i([32,0]),DOUBLE:i([32,0]),DATA:i([32,0]),UINT8C:i([32,0]),BUFFER:i([32,0])});var o="undefined"!=typeof Uint8ClampedArray,s="undefined"!=typeof BigUint64Array,l="undefined"!=typeof BigInt64Array,c=e.__TYPEDARRAY_POOL;c.UINT8C||(c.UINT8C=i([32,0])),c.BIGUINT64||(c.BIGUINT64=i([32,0])),c.BIGINT64||(c.BIGINT64=i([32,0])),c.BUFFER||(c.BUFFER=i([32,0]));var u=c.DATA,h=c.BUFFER;function f(t){if(t){var e=t.length||t.byteLength,r=n.log2(e);u[r].push(t)}}function p(t){t=n.nextPow2(t);var e=n.log2(t),r=u[e];return r.length>0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function g(t){return new Uint16Array(p(2*t),0,t)}function m(t){return new Uint32Array(p(4*t),0,t)}function v(t){return new Int8Array(p(t),0,t)}function y(t){return new Int16Array(p(2*t),0,t)}function x(t){return new Int32Array(p(4*t),0,t)}function b(t){return new Float32Array(p(4*t),0,t)}function _(t){return new Float64Array(p(8*t),0,t)}function w(t){return o?new Uint8ClampedArray(p(t),0,t):d(t)}function T(t){return s?new BigUint64Array(p(8*t),0,t):null}function k(t){return l?new BigInt64Array(p(8*t),0,t):null}function M(t){return new DataView(p(t),0,t)}function A(t){t=n.nextPow2(t);var e=n.log2(t),r=h[e];return r.length>0?r.pop():new a(t)}r.free=function(t){if(a.isBuffer(t))h[n.log2(t.length)].push(t);else{if("[object ArrayBuffer]"!==Object.prototype.toString.call(t)&&(t=t.buffer),!t)return;var e=t.length||t.byteLength,r=0|n.log2(e);u[r].push(t)}},r.freeUint8=r.freeUint16=r.freeUint32=r.freeBigUint64=r.freeInt8=r.freeInt16=r.freeInt32=r.freeBigInt64=r.freeFloat32=r.freeFloat=r.freeFloat64=r.freeDouble=r.freeUint8Clamped=r.freeDataView=function(t){f(t.buffer)},r.freeArrayBuffer=f,r.freeBuffer=function(t){h[n.log2(t.length)].push(t)},r.malloc=function(t,e){if(void 0===e||"arraybuffer"===e)return p(t);switch(e){case"uint8":return d(t);case"uint16":return g(t);case"uint32":return m(t);case"int8":return v(t);case"int16":return y(t);case"int32":return x(t);case"float":case"float32":return b(t);case"double":case"float64":return _(t);case"uint8_clamped":return w(t);case"bigint64":return k(t);case"biguint64":return T(t);case"buffer":return A(t);case"data":case"dataview":return M(t);default:return null}return null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=M,r.mallocBuffer=A,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,h[t].length=0}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"bit-twiddle":97,buffer:111,dup:176}],568:[function(t,e,r){"use strict";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,"length",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],569:[function(t,e,r){"use strict";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],570:[function(t,e,r){var n=/[\'\"]/;e.exports=function(t){return t?(n.test(t.charAt(0))&&(t=t.substr(1)),n.test(t.charAt(t.length-1))&&(t=t.substr(0,t.length-1)),t):""}},{}],571:[function(t,e,r){"use strict";e.exports=function(t,e,r){Array.isArray(r)||(r=[].slice.call(arguments,2));for(var n=0,i=r.length;n<i;n++){var a=r[n];for(var o in a)if((void 0===e[o]||Array.isArray(e[o])||t[o]!==e[o])&&o in e){var s;if(!0===a[o])s=e[o];else{if(!1===a[o])continue;if("function"==typeof a[o]&&void 0===(s=a[o](e[o],t,e)))continue}t[o]=s}}return t}},{}],572:[function(t,e,r){"use strict";e.exports=function(t,e){"object"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t("./lib/vtext"),i=null,a=null;"undefined"!=typeof document&&((i=document.createElement("canvas")).width=8192,i.height=1024,a=i.getContext("2d"))},{"./lib/vtext":573}],573:[function(t,e,r){e.exports=function(t,e,r,n){var a=64,o=1.25,s={breaklines:!1,bolds:!1,italics:!1,subscripts:!1,superscripts:!1};n&&(n.size&&n.size>0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return r.font=[n.fontStyle,n.fontVariant,n.fontWeight,a+"px",n.font].filter((function(t){return t})).join(" "),r.textAlign="start",r.textBaseline="alphabetic",r.direction="ltr",f(function(t,e,r,n,a,o){r=r.replace(/\n/g,""),r=!0===o.breaklines?r.replace(/\<br\>/g,"\n"):r.replace(/\<br\>/g," ");var s="",l=[];for(p=0;p<r.length;++p)l[p]=s;!0===o.bolds&&(l=c("b","b|",r,l));!0===o.italics&&(l=c("i","i|",r,l));!0===o.superscripts&&(l=c("sup","+1",r,l));!0===o.subscripts&&(l=c("sub","-1",r,l));var u=[],h="";for(p=0;p<r.length;++p)null!==l[p]&&(h+=r[p],u.push(l[p]));var f,p,d,g,m,v=h.split("\n"),y=v.length,x=Math.round(a*n),b=n,_=2*n,w=0,T=y*x+_;t.height<T&&(t.height=T);e.fillStyle="#000",e.fillRect(0,0,t.width,t.height),e.fillStyle="#fff";var k=0,M="";function A(){if(""!==M){var t=e.measureText(M).width;e.fillText(M,b+d,_+g),d+=t}}function S(){return Math.round(m)+"px "}function E(t,r){var n=""+e.font;if(!0===o.subscripts){var i=t.indexOf("-"),a=r.indexOf("-"),s=i>-1?parseInt(t[1+i]):0,l=a>-1?parseInt(r[1+a]):0;s!==l&&(n=n.replace(S(),"?px "),m*=Math.pow(.75,l-s),n=n.replace("?px ",S())),g+=.25*x*(l-s)}if(!0===o.superscripts){var c=t.indexOf("+"),u=r.indexOf("+"),h=c>-1?parseInt(t[1+c]):0,f=u>-1?parseInt(r[1+u]):0;h!==f&&(n=n.replace(S(),"?px "),m*=Math.pow(.75,f-h),n=n.replace("?px ",S())),g-=.25*x*(f-h)}if(!0===o.bolds){var p=t.indexOf("b|")>-1,d=r.indexOf("b|")>-1;!p&&d&&(n=v?n.replace("italic ","italic bold "):"bold "+n),p&&!d&&(n=n.replace("bold ",""))}if(!0===o.italics){var v=t.indexOf("i|")>-1,y=r.indexOf("i|")>-1;!v&&y&&(n="italic "+n),v&&!y&&(n=n.replace("italic ",""))}e.font=n}for(f=0;f<y;++f){var C=v[f]+"\n";for(d=0,g=f*x,m=n,M="",p=0;p<C.length;++p){var L=p+k<u.length?u[p+k]:u[u.length-1];s===L?M+=C[p]:(A(),M=C[p],void 0!==L&&(E(s,L),s=L))}A(),k+=C.length;var P=0|Math.round(d+2*b);w<P&&(w=P)}var I=w,z=_+x*y;return i(e.getImageData(0,0,I,z).data,[z,I,4]).pick(-1,-1,0).transpose(1,0)}(e,r,t,a,o,s),n,a)},e.exports.processPixels=f;var n=t("surface-nets"),i=t("ndarray"),a=t("simplify-planar-graph"),o=t("clean-pslg"),s=t("cdt2d"),l=t("planar-graph-to-polyline");function c(t,e,r,n){for(var i="<"+t+">",a="</"+t+">",o=i.length,s=a.length,l="+"===e[0]||"-"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var h=c;h<u+s;++h)if(h<c+o||h>=u)n[h]=null,r=r.substr(0,h)+" "+r.substr(h+1);else if(null!==n[h]){var f=n[h].indexOf(e[0]);-1===f?n[h]+=e:l&&(n[h]=n[h].substr(0,f+1)+(1+parseInt(n[h][f+1]))+n[h].substr(f+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function h(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||"start",i=e.textBaseline||"alphabetic",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var h=0;switch(n){case"center":h=-.5*(a[0]+o[0]);break;case"right":case"end":h=-o[0];break;case"left":case"start":h=-a[0];break;default:throw new Error("vectorize-text: Unrecognized textAlign: '"+n+"'")}var f=0;switch(i){case"hanging":case"top":f=-a[1];break;case"middle":f=-.5*(a[1]+o[1]);break;case"alphabetic":case"ideographic":f=-3*r;break;case"bottom":f=-o[1];break;default:throw new Error("vectorize-text: Unrecoginized textBaseline: '"+i+"'")}var p=1/r;return"lineHeight"in e?p*=+e.lineHeight:"width"in e?p=e.width/(o[0]-a[0]):"height"in e&&(p=e.height/(o[1]-a[1])),t.map((function(t){return[p*(t[0]+h),p*(t[1]+f)]}))}(i.positions,e,r),c=i.edges,h="ccw"===e.orientation;if(o(a,c),e.polygons||e.polygon||e.polyline){for(var f=l(c,a),p=new Array(f.length),d=0;d<f.length;++d){for(var g=f[d],m=new Array(g.length),v=0;v<g.length;++v){for(var y=g[v],x=new Array(y.length),b=0;b<y.length;++b)x[b]=a[y[b]].slice();h&&x.reverse(),m[v]=x}p[d]=m}return p}return e.triangles||e.triangulate||e.triangle?{cells:s(a,c,{delaunay:!1,exterior:!1,interior:!0}),positions:a}:{edges:c,positions:a}}function f(t,e,r){try{return h(t,e,r,!0)}catch(t){}try{return h(t,e,r,!1)}catch(t){}return e.polygons||e.polyline||e.polygon?[]:e.triangles||e.triangulate||e.triangle?{cells:[],positions:[]}:{edges:[],positions:[]}}},{cdt2d:112,"clean-pslg":121,ndarray:469,"planar-graph-to-polyline":488,"simplify-planar-graph":534,"surface-nets":542}],574:[function(t,e,r){!function(){"use strict";if("undefined"==typeof ses||!ses.ok||ses.ok()){"undefined"!=typeof ses&&(ses.weakMapPermitHostObjects=g);var t=!1;if("function"==typeof WeakMap){var r=WeakMap;if("undefined"!=typeof navigator&&/Firefox/.test(navigator.userAgent));else{var n=new r,i=Object.freeze({});if(n.set(i,1),1===n.get(i))return void(e.exports=WeakMap);t=!0}}Object.prototype.hasOwnProperty;var a=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l="weakmap:ident:"+Math.random()+"___";if("undefined"!=typeof crypto&&"function"==typeof crypto.getRandomValues&&"function"==typeof ArrayBuffer&&"function"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l="weakmap:rand:"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join("")+"___"}if(o(Object,"getOwnPropertyNames",{value:function(t){return a(t).filter(m)}}),"getPropertyNames"in Object){var h=Object.getPropertyNames;o(Object,"getPropertyNames",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,"freeze",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,"seal",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,"preventExtensions",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var t=[],e=[],r=p++;return Object.create(d.prototype,{get___:{value:y((function(n,i){var a,o=v(n);return o?r in o?o[r]:i:(a=t.indexOf(n))>=0?e[a]:i}))},has___:{value:y((function(e){var n=v(e);return n?r in n:t.indexOf(e)>=0}))},set___:{value:y((function(n,i){var a,o=v(n);return o?o[r]=i:(a=t.indexOf(n))>=0?e[a]=i:(a=t.length,e[a]=i,t[a]=n),this}))},delete___:{value:y((function(n){var i,a,o=v(n);return o?r in o&&delete o[r]:!((i=t.indexOf(n))<0)&&(a=t.length-1,t[i]=void 0,e[i]=e[a],t[i]=t[a],t.length=a,e.length=a,!0)}))}})};d.prototype=Object.create(Object.prototype,{get:{value:function(t,e){return this.get___(t,e)},writable:!0,configurable:!0},has:{value:function(t){return this.has___(t)},writable:!0,configurable:!0},set:{value:function(t,e){return this.set___(t,e)},writable:!0,configurable:!0},delete:{value:function(t){return this.delete___(t)},writable:!0,configurable:!0}}),"function"==typeof r?function(){function n(){this instanceof d||x();var e,n=new r,i=void 0,a=!1;return e=t?function(t,e){return n.set(t,e),n.has(t)||(i||(i=new d),i.set(t,e)),this}:function(t,e){if(a)try{n.set(t,e)}catch(r){i||(i=new d),i.set___(t,e)}else n.set(t,e);return this},Object.create(d.prototype,{get___:{value:y((function(t,e){return i?n.has(t)?n.get(t):i.get___(t,e):n.get(t,e)}))},has___:{value:y((function(t){return n.has(t)||!!i&&i.has___(t)}))},set___:{value:y(e)},delete___:{value:y((function(t){var e=!!n.delete(t);return i&&i.delete___(t)||e}))},permitHostObjects___:{value:y((function(t){if(t!==g)throw new Error("bogus call to permitHostObjects___");a=!0}))}})}t&&"undefined"!=typeof Proxy&&(Proxy=void 0),n.prototype=d.prototype,e.exports=n,Object.defineProperty(WeakMap.prototype,"constructor",{value:WeakMap,enumerable:!1,configurable:!0,writable:!0})}():("undefined"!=typeof Proxy&&(Proxy=void 0),e.exports=d)}function g(t){t.permitHostObjects___&&t.permitHostObjects___(g)}function m(t){return!("weakmap:"==t.substr(0,"weakmap:".length)&&"___"===t.substr(t.length-3))}function v(t){if(t!==Object(t))throw new TypeError("Not an object: "+t);var e=t[l];if(e&&e.key===t)return e;if(s(t)){e={key:t};try{return o(t,l,{value:e,writable:!1,enumerable:!1,configurable:!1}),e}catch(t){return}}}function y(t){return t.prototype=null,Object.freeze(t)}function x(){f||"undefined"==typeof console||(f=!0,console.warn("WeakMap should be invoked as new WeakMap(), not WeakMap(). This will be an error in the future."))}}()},{}],575:[function(t,e,r){var n=t("./hidden-store.js");e.exports=function(){var t={};return function(e){if(("object"!=typeof e||null===e)&&"function"!=typeof e)throw new Error("Weakmap-shim: Key must be object");var r=e.valueOf(t);return r&&r.identity===t?r:n(e,t)}}},{"./hidden-store.js":576}],576:[function(t,e,r){e.exports=function(t,e){var r={identity:e},n=t.valueOf;return Object.defineProperty(t,"valueOf",{value:function(t){return t!==e?n.apply(this,arguments):r},writable:!0}),r}},{}],577:[function(t,e,r){var n=t("./create-store.js");e.exports=function(){var t=n();return{get:function(e,r){var n=t(e);return n.hasOwnProperty("value")?n.value:r},set:function(e,r){return t(e).value=r,this},has:function(e){return"value"in t(e)},delete:function(e){return delete t(e).value}}}},{"./create-store.js":575}],578:[function(t,e,r){var n=t("get-canvas-context");e.exports=function(t){return n("webgl",t)}},{"get-canvas-context":249}],579:[function(t,e,r){var n=t("../main"),i=t("object-assign"),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Chinese",jdEpoch:1721425.5,hasYearZero:!1,minMonth:0,firstMonth:0,minDay:1,regionalOptions:{"":{name:"Chinese",epochs:["BEC","EC"],monthNumbers:function(t,e){if("string"==typeof t){var r=t.match(l);return r?r[0]:""}var n=this._validateYear(t),i=t.month(),a=""+this.toChineseMonth(n,i);return e&&a.length<2&&(a="0"+a),this.isIntercalaryMonth(n,i)&&(a+="i"),a},monthNames:function(t){if("string"==typeof t){var e=t.match(c);return e?e[0]:""}var r=this._validateYear(t),n=t.month(),i=["\u4e00\u6708","\u4e8c\u6708","\u4e09\u6708","\u56db\u6708","\u4e94\u6708","\u516d\u6708","\u4e03\u6708","\u516b\u6708","\u4e5d\u6708","\u5341\u6708","\u5341\u4e00\u6708","\u5341\u4e8c\u6708"][this.toChineseMonth(r,n)-1];return this.isIntercalaryMonth(r,n)&&(i="\u95f0"+i),i},monthNamesShort:function(t){if("string"==typeof t){var e=t.match(u);return e?e[0]:""}var r=this._validateYear(t),n=t.month(),i=["\u4e00","\u4e8c","\u4e09","\u56db","\u4e94","\u516d","\u4e03","\u516b","\u4e5d","\u5341","\u5341\u4e00","\u5341\u4e8c"][this.toChineseMonth(r,n)-1];return this.isIntercalaryMonth(r,n)&&(i="\u95f0"+i),i},parseMonth:function(t,e){t=this._validateYear(t);var r,n=parseInt(e);if(isNaN(n))"\u95f0"===e[0]&&(r=!0,e=e.substring(1)),"\u6708"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+["\u4e00","\u4e8c","\u4e09","\u56db","\u4e94","\u516d","\u4e03","\u516b","\u4e5d","\u5341","\u5341\u4e00","\u5341\u4e8c"].indexOf(e);else{var i=e[e.length-1];r="i"===i||"I"===i}return this.toMonthIndex(t,n,r)},dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:1,isRTL:!1}},_validateYear:function(t,e){if(t.year&&(t=t.year()),"number"!=typeof t||t<1888||t>2111)throw e.replace(/\{0\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\{0\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\{0\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),"d");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\{0\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if("object"==typeof t)o=t,a=e||{};else{var l;if(!("number"==typeof t&&t>=1888&&t<=2111))throw new Error("Lunar year outside range 1888-2111");if(!("number"==typeof e&&e>=1&&e<=12))throw new Error("Lunar month outside range 1 - 12");if(!("number"==typeof r&&r>=1&&r<=30))throw new Error("Lunar day outside range 1 - 30");"object"==typeof n?(l=!1,a=n):(l=!!n,a=i||{}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++){s+=u&1<<12-d?30:29}var g=f[o.year-f[0]],m=new Date(g>>9&4095,(g>>5&15)-1,(31&g)+s);return a.year=m.getFullYear(),a.month=1+m.getMonth(),a.day=m.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if("object"==typeof t)i=t,a=e||{};else{if(!("number"==typeof t&&t>=1888&&t<=2111))throw new Error("Solar year outside range 1888-2111");if(!("number"==typeof e&&e>=1&&e<=12))throw new Error("Solar month outside range 1 - 12");if(!("number"==typeof r&&r>=1&&r<=31))throw new Error("Solar day outside range 1 - 31");i={year:t,month:e,day:r},a=n||{}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var g=d&1<<12-p?30:29;if(l<g)break;l-=g}var m=d>>13;!m||p<m?(a.isIntercalary=!1,a.month=1+p):p===m?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p);return a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if("y"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\s*(-?\d\d\d\d|\d\d)[-/](\d?\d)([iI]?)[-/](\d?\d)/m,l=/^\d?\d[iI]?/m,c=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?\u6708/m,u=/^\u95f0?\u5341?[\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d]?/m;n.calendars.chinese=o;var h=[1887,5780,5802,19157,2742,50359,1198,2646,46378,7466,3412,30122,5482,67949,2396,5294,43597,6732,6954,36181,2772,4954,18781,2396,54427,5274,6730,47781,5800,6868,21210,4790,59703,2350,5270,46667,3402,3496,38325,1388,4782,18735,2350,52374,6804,7498,44457,2906,1388,29294,4700,63789,6442,6804,56138,5802,2772,38235,1210,4698,22827,5418,63125,3476,5802,43701,2484,5302,27223,2646,70954,7466,3412,54698,5482,2412,38062,5294,2636,32038,6954,60245,2772,4826,43357,2394,5274,39501,6730,72357,5800,5844,53978,4790,2358,38039,5270,87627,3402,3496,54708,5484,4782,43311,2350,3222,27978,7498,68965,2904,5484,45677,4700,6444,39573,6804,6986,19285,2772,62811,1210,4698,47403,5418,5780,38570,5546,76469,2420,5302,51799,2646,5414,36501,3412,5546,18869,2412,54446,5276,6732,48422,6822,2900,28010,4826,92509,2394,5274,55883,6730,6820,47956,5812,2778,18779,2358,62615,5270,5450,46757,3492,5556,27318,4718,67887,2350,3222,52554,7498,3428,38252,5468,4700,31022,6444,64149,6804,6986,43861,2772,5338,35421,2650,70955,5418,5780,54954,5546,2740,38074,5302,2646,29991,3366,61011,3412,5546,43445,2412,5294,35406,6732,72998,6820,6996,52586,2778,2396,38045,5274,6698,23333,6820,64338,5812,2746,43355,2358,5270,39499,5450,79525,3492,5548],f=[1887,966732,967231,967733,968265,968766,969297,969798,970298,970829,971330,971830,972362,972863,973395,973896,974397,974928,975428,975929,976461,976962,977462,977994,978494,979026,979526,980026,980558,981059,981559,982091,982593,983124,983624,984124,984656,985157,985656,986189,986690,987191,987722,988222,988753,989254,989754,990286,990788,991288,991819,992319,992851,993352,993851,994383,994885,995385,995917,996418,996918,997450,997949,998481,998982,999483,1000014,1000515,1001016,1001548,1002047,1002578,1003080,1003580,1004111,1004613,1005113,1005645,1006146,1006645,1007177,1007678,1008209,1008710,1009211,1009743,1010243,1010743,1011275,1011775,1012306,1012807,1013308,1013840,1014341,1014841,1015373,1015874,1016404,1016905,1017405,1017937,1018438,1018939,1019471,1019972,1020471,1021002,1021503,1022035,1022535,1023036,1023568,1024069,1024568,1025100,1025601,1026102,1026633,1027133,1027666,1028167,1028666,1029198,1029699,1030199,1030730,1031231,1031763,1032264,1032764,1033296,1033797,1034297,1034828,1035329,1035830,1036362,1036861,1037393,1037894,1038394,1038925,1039427,1039927,1040459,1040959,1041491,1041992,1042492,1043023,1043524,1044024,1044556,1045057,1045558,1046090,1046590,1047121,1047622,1048122,1048654,1049154,1049655,1050187,1050689,1051219,1051720,1052220,1052751,1053252,1053752,1054284,1054786,1055285,1055817,1056317,1056849,1057349,1057850,1058382,1058883,1059383,1059915,1060415,1060947,1061447,1061947,1062479,1062981,1063480,1064012,1064514,1065014,1065545,1066045,1066577,1067078,1067578,1068110,1068611,1069112,1069642,1070142,1070674,1071175,1071675,1072207,1072709,1073209,1073740,1074241,1074741,1075273,1075773,1076305,1076807,1077308,1077839,1078340,1078840,1079372,1079871,1080403,1080904]},{"../main":593,"object-assign":473}],580:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Coptic",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Coptic",epochs:["BAM","AM"],monthNames:["Thout","Paopi","Hathor","Koiak","Tobi","Meshir","Paremhat","Paremoude","Pashons","Paoni","Epip","Mesori","Pi Kogi Enavot"],monthNamesShort:["Tho","Pao","Hath","Koi","Tob","Mesh","Pat","Pad","Pash","Pao","Epi","Meso","PiK"],dayNames:["Tkyriaka","Pesnau","Pshoment","Peftoou","Ptiou","Psoou","Psabbaton"],dayNamesShort:["Tky","Pes","Psh","Pef","Pti","Pso","Psa"],dayNamesMin:["Tk","Pes","Psh","Pef","Pt","Pso","Psa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{"../main":593,"object-assign":473}],581:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Discworld",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Discworld",epochs:["BUC","UC"],monthNames:["Ick","Offle","February","March","April","May","June","Grune","August","Spune","Sektober","Ember","December"],monthNamesShort:["Ick","Off","Feb","Mar","Apr","May","Jun","Gru","Aug","Spu","Sek","Emb","Dec"],dayNames:["Sunday","Octeday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Oct","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Oc","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||""}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:"Fruitbat",21:"Anchovy"};n.calendars.discworld=a},{"../main":593,"object-assign":473}],582:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Ethiopian",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Ethiopian",epochs:["BEE","EE"],monthNames:["Meskerem","Tikemet","Hidar","Tahesas","Tir","Yekatit","Megabit","Miazia","Genbot","Sene","Hamle","Nehase","Pagume"],monthNamesShort:["Mes","Tik","Hid","Tah","Tir","Yek","Meg","Mia","Gen","Sen","Ham","Neh","Pag"],dayNames:["Ehud","Segno","Maksegno","Irob","Hamus","Arb","Kidame"],dayNamesShort:["Ehu","Seg","Mak","Iro","Ham","Arb","Kid"],dayNamesMin:["Eh","Se","Ma","Ir","Ha","Ar","Ki"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{"../main":593,"object-assign":473}],583:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Hebrew",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{"":{name:"Hebrew",epochs:["BAM","AM"],monthNames:["Nisan","Iyar","Sivan","Tammuz","Av","Elul","Tishrei","Cheshvan","Kislev","Tevet","Shevat","Adar","Adar II"],monthNamesShort:["Nis","Iya","Siv","Tam","Av","Elu","Tis","Che","Kis","Tev","She","Ada","Ad2"],dayNames:["Yom Rishon","Yom Sheni","Yom Shlishi","Yom Revi'i","Yom Chamishi","Yom Shishi","Yom Shabbat"],dayNamesShort:["Ris","She","Shl","Rev","Cha","Shi","Sha"],dayNamesMin:["Ri","She","Shl","Re","Ch","Shi","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?"embolismic":"common")+" "+["deficient","regular","complete"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{"../main":593,"object-assign":473}],584:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Islamic",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Islamic",epochs:["BH","AH"],monthNames:["Muharram","Safar","Rabi' al-awwal","Rabi' al-thani","Jumada al-awwal","Jumada al-thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-ahad","Yawm al-ithnayn","Yawm ath-thulaathaa'","Yawm al-arbi'aa'","Yawm al-kham\u012bs","Yawm al-jum'a","Yawm as-sabt"],dayNamesShort:["Aha","Ith","Thu","Arb","Kha","Jum","Sab"],dayNamesMin:["Ah","It","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{"../main":593,"object-assign":473}],585:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Julian",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Julian",epochs:["BC","AD"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{"../main":593,"object-assign":473}],586:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":593,"object-assign":473}],587:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":593,"object-assign":473}],588:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),"undefined"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),"undefined"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)"undefined"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),n.calendars.nepali=a},{"../main":593,"object-assign":473}],589:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Ch\xe6harshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Ch\xe6","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=a,n.calendars.jalali=a},{"../main":593,"object-assign":473}],590:[function(t,e,r){var n=t("../main"),i=t("object-assign"),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Taiwan",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Taiwan",epochs:["BROC","ROC"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{"../main":593,"object-assign":473}],591:[function(t,e,r){var n=t("../main"),i=t("object-assign"),a=n.instance();function o(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}o.prototype=new n.baseCalendar,i(o.prototype,{name:"Thai",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Thai",epochs:["BBE","BE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{"../main":593,"object-assign":473}],592:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\{0\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var o=[20,50,79,109,138,168,197,227,256,286,315,345,374,404,433,463,492,522,551,581,611,641,670,700,729,759,788,818,847,877,906,936,965,995,1024,1054,1083,1113,1142,1172,1201,1231,1260,1290,1320,1350,1379,1409,1438,1468,1497,1527,1556,1586,1615,1645,1674,1704,1733,1763,1792,1822,1851,1881,1910,1940,1969,1999,2028,2058,2087,2117,2146,2176,2205,2235,2264,2294,2323,2353,2383,2413,2442,2472,2501,2531,2560,2590,2619,2649,2678,2708,2737,2767,2796,2826,2855,2885,2914,2944,2973,3003,3032,3062,3091,3121,3150,3180,3209,3239,3268,3298,3327,3357,3386,3416,3446,3476,3505,3535,3564,3594,3623,3653,3682,3712,3741,3771,3800,3830,3859,3889,3918,3948,3977,4007,4036,4066,4095,4125,4155,4185,4214,4244,4273,4303,4332,4362,4391,4421,4450,4480,4509,4539,4568,4598,4627,4657,4686,4716,4745,4775,4804,4834,4863,4893,4922,4952,4981,5011,5040,5070,5099,5129,5158,5188,5218,5248,5277,5307,5336,5366,5395,5425,5454,5484,5513,5543,5572,5602,5631,5661,5690,5720,5749,5779,5808,5838,5867,5897,5926,5956,5985,6015,6044,6074,6103,6133,6162,6192,6221,6251,6281,6311,6340,6370,6399,6429,6458,6488,6517,6547,6576,6606,6635,6665,6694,6724,6753,6783,6812,6842,6871,6901,6930,6960,6989,7019,7048,7078,7107,7137,7166,7196,7225,7255,7284,7314,7344,7374,7403,7433,7462,7492,7521,7551,7580,7610,7639,7669,7698,7728,7757,7787,7816,7846,7875,7905,7934,7964,7993,8023,8053,8083,8112,8142,8171,8201,8230,8260,8289,8319,8348,8378,8407,8437,8466,8496,8525,8555,8584,8614,8643,8673,8702,8732,8761,8791,8821,8850,8880,8909,8938,8968,8997,9027,9056,9086,9115,9145,9175,9205,9234,9264,9293,9322,9352,9381,9410,9440,9470,9499,9529,9559,9589,9618,9648,9677,9706,9736,9765,9794,9824,9853,9883,9913,9943,9972,10002,10032,10061,10090,10120,10149,10178,10208,10237,10267,10297,10326,10356,10386,10415,10445,10474,10504,10533,10562,10592,10621,10651,10680,10710,10740,10770,10799,10829,10858,10888,10917,10947,10976,11005,11035,11064,11094,11124,11153,11183,11213,11242,11272,11301,11331,11360,11389,11419,11448,11478,11507,11537,11567,11596,11626,11655,11685,11715,11744,11774,11803,11832,11862,11891,11921,11950,11980,12010,12039,12069,12099,12128,12158,12187,12216,12246,12275,12304,12334,12364,12393,12423,12453,12483,12512,12542,12571,12600,12630,12659,12688,12718,12747,12777,12807,12837,12866,12896,12926,12955,12984,13014,13043,13072,13102,13131,13161,13191,13220,13250,13280,13310,13339,13368,13398,13427,13456,13486,13515,13545,13574,13604,13634,13664,13693,13723,13752,13782,13811,13840,13870,13899,13929,13958,13988,14018,14047,14077,14107,14136,14166,14195,14224,14254,14283,14313,14342,14372,14401,14431,14461,14490,14520,14550,14579,14609,14638,14667,14697,14726,14756,14785,14815,14844,14874,14904,14933,14963,14993,15021,15051,15081,15110,15140,15169,15199,15228,15258,15287,15317,15347,15377,15406,15436,15465,15494,15524,15553,15582,15612,15641,15671,15701,15731,15760,15790,15820,15849,15878,15908,15937,15966,15996,16025,16055,16085,16114,16144,16174,16204,16233,16262,16292,16321,16350,16380,16409,16439,16468,16498,16528,16558,16587,16617,16646,16676,16705,16734,16764,16793,16823,16852,16882,16912,16941,16971,17001,17030,17060,17089,17118,17148,17177,17207,17236,17266,17295,17325,17355,17384,17414,17444,17473,17502,17532,17561,17591,17620,17650,17679,17709,17738,17768,17798,17827,17857,17886,17916,17945,17975,18004,18034,18063,18093,18122,18152,18181,18211,18241,18270,18300,18330,18359,18388,18418,18447,18476,18506,18535,18565,18595,18625,18654,18684,18714,18743,18772,18802,18831,18860,18890,18919,18949,18979,19008,19038,19068,19098,19127,19156,19186,19215,19244,19274,19303,19333,19362,19392,19422,19452,19481,19511,19540,19570,19599,19628,19658,19687,19717,19746,19776,19806,19836,19865,19895,19924,19954,19983,20012,20042,20071,20101,20130,20160,20190,20219,20249,20279,20308,20338,20367,20396,20426,20455,20485,20514,20544,20573,20603,20633,20662,20692,20721,20751,20780,20810,20839,20869,20898,20928,20957,20987,21016,21046,21076,21105,21135,21164,21194,21223,21253,21282,21312,21341,21371,21400,21430,21459,21489,21519,21548,21578,21607,21637,21666,21696,21725,21754,21784,21813,21843,21873,21902,21932,21962,21991,22021,22050,22080,22109,22138,22168,22197,22227,22256,22286,22316,22346,22375,22405,22434,22464,22493,22522,22552,22581,22611,22640,22670,22700,22730,22759,22789,22818,22848,22877,22906,22936,22965,22994,23024,23054,23083,23113,23143,23173,23202,23232,23261,23290,23320,23349,23379,23408,23438,23467,23497,23527,23556,23586,23616,23645,23674,23704,23733,23763,23792,23822,23851,23881,23910,23940,23970,23999,24029,24058,24088,24117,24147,24176,24206,24235,24265,24294,24324,24353,24383,24413,24442,24472,24501,24531,24560,24590,24619,24648,24678,24707,24737,24767,24796,24826,24856,24885,24915,24944,24974,25003,25032,25062,25091,25121,25150,25180,25210,25240,25269,25299,25328,25358,25387,25416,25446,25475,25505,25534,25564,25594,25624,25653,25683,25712,25742,25771,25800,25830,25859,25888,25918,25948,25977,26007,26037,26067,26096,26126,26155,26184,26214,26243,26272,26302,26332,26361,26391,26421,26451,26480,26510,26539,26568,26598,26627,26656,26686,26715,26745,26775,26805,26834,26864,26893,26923,26952,26982,27011,27041,27070,27099,27129,27159,27188,27218,27248,27277,27307,27336,27366,27395,27425,27454,27484,27513,27542,27572,27602,27631,27661,27691,27720,27750,27779,27809,27838,27868,27897,27926,27956,27985,28015,28045,28074,28104,28134,28163,28193,28222,28252,28281,28310,28340,28369,28399,28428,28458,28488,28517,28547,28577,28607,28636,28665,28695,28724,28754,28783,28813,28843,28872,28901,28931,28960,28990,29019,29049,29078,29108,29137,29167,29196,29226,29255,29285,29315,29345,29375,29404,29434,29463,29492,29522,29551,29580,29610,29640,29669,29699,29729,29759,29788,29818,29847,29876,29906,29935,29964,29994,30023,30053,30082,30112,30141,30171,30200,30230,30259,30289,30318,30348,30378,30408,30437,30467,30496,30526,30555,30585,30614,30644,30673,30703,30732,30762,30791,30821,30850,30880,30909,30939,30968,30998,31027,31057,31086,31116,31145,31175,31204,31234,31263,31293,31322,31352,31381,31411,31441,31471,31500,31530,31559,31589,31618,31648,31676,31706,31736,31766,31795,31825,31854,31884,31913,31943,31972,32002,32031,32061,32090,32120,32150,32180,32209,32239,32268,32298,32327,32357,32386,32416,32445,32475,32504,32534,32563,32593,32622,32652,32681,32711,32740,32770,32799,32829,32858,32888,32917,32947,32976,33006,33035,33065,33094,33124,33153,33183,33213,33243,33272,33302,33331,33361,33390,33420,33450,33479,33509,33539,33568,33598,33627,33657,33686,33716,33745,33775,33804,33834,33863,33893,33922,33952,33981,34011,34040,34069,34099,34128,34158,34187,34217,34247,34277,34306,34336,34365,34395,34424,34454,34483,34512,34542,34571,34601,34631,34660,34690,34719,34749,34778,34808,34837,34867,34896,34926,34955,34985,35015,35044,35074,35103,35133,35162,35192,35222,35251,35280,35310,35340,35370,35399,35429,35458,35488,35517,35547,35576,35605,35635,35665,35694,35723,35753,35782,35811,35841,35871,35901,35930,35960,35989,36019,36048,36078,36107,36136,36166,36195,36225,36254,36284,36314,36343,36373,36403,36433,36462,36492,36521,36551,36580,36610,36639,36669,36698,36728,36757,36786,36816,36845,36875,36904,36934,36963,36993,37022,37052,37081,37111,37141,37170,37200,37229,37259,37288,37318,37347,37377,37406,37436,37465,37495,37524,37554,37584,37613,37643,37672,37701,37731,37760,37790,37819,37849,37878,37908,37938,37967,37997,38027,38056,38085,38115,38144,38174,38203,38233,38262,38292,38322,38351,38381,38410,38440,38469,38499,38528,38558,38587,38617,38646,38676,38705,38735,38764,38794,38823,38853,38882,38912,38941,38971,39001,39030,39059,39089,39118,39148,39178,39208,39237,39267,39297,39326,39355,39385,39414,39444,39473,39503,39532,39562,39592,39621,39650,39680,39709,39739,39768,39798,39827,39857,39886,39916,39946,39975,40005,40035,40064,40094,40123,40153,40182,40212,40241,40271,40300,40330,40359,40389,40418,40448,40477,40507,40536,40566,40595,40625,40655,40685,40714,40744,40773,40803,40832,40862,40892,40921,40951,40980,41009,41039,41068,41098,41127,41157,41186,41216,41245,41275,41304,41334,41364,41393,41422,41452,41481,41511,41540,41570,41599,41629,41658,41688,41718,41748,41777,41807,41836,41865,41894,41924,41953,41983,42012,42042,42072,42102,42131,42161,42190,42220,42249,42279,42308,42337,42367,42397,42426,42456,42485,42515,42545,42574,42604,42633,42662,42692,42721,42751,42780,42810,42839,42869,42899,42929,42958,42988,43017,43046,43076,43105,43135,43164,43194,43223,43253,43283,43312,43342,43371,43401,43430,43460,43489,43519,43548,43578,43607,43637,43666,43696,43726,43755,43785,43814,43844,43873,43903,43932,43962,43991,44021,44050,44080,44109,44139,44169,44198,44228,44258,44287,44317,44346,44375,44405,44434,44464,44493,44523,44553,44582,44612,44641,44671,44700,44730,44759,44788,44818,44847,44877,44906,44936,44966,44996,45025,45055,45084,45114,45143,45172,45202,45231,45261,45290,45320,45350,45380,45409,45439,45468,45498,45527,45556,45586,45615,45644,45674,45704,45733,45763,45793,45823,45852,45882,45911,45940,45970,45999,46028,46058,46088,46117,46147,46177,46206,46236,46265,46295,46324,46354,46383,46413,46442,46472,46501,46531,46560,46590,46620,46649,46679,46708,46738,46767,46797,46826,46856,46885,46915,46944,46974,47003,47033,47063,47092,47122,47151,47181,47210,47240,47269,47298,47328,47357,47387,47417,47446,47476,47506,47535,47565,47594,47624,47653,47682,47712,47741,47771,47800,47830,47860,47890,47919,47949,47978,48008,48037,48066,48096,48125,48155,48184,48214,48244,48273,48303,48333,48362,48392,48421,48450,48480,48509,48538,48568,48598,48627,48657,48687,48717,48746,48776,48805,48834,48864,48893,48922,48952,48982,49011,49041,49071,49100,49130,49160,49189,49218,49248,49277,49306,49336,49365,49395,49425,49455,49484,49514,49543,49573,49602,49632,49661,49690,49720,49749,49779,49809,49838,49868,49898,49927,49957,49986,50016,50045,50075,50104,50133,50163,50192,50222,50252,50281,50311,50340,50370,50400,50429,50459,50488,50518,50547,50576,50606,50635,50665,50694,50724,50754,50784,50813,50843,50872,50902,50931,50960,50990,51019,51049,51078,51108,51138,51167,51197,51227,51256,51286,51315,51345,51374,51403,51433,51462,51492,51522,51552,51582,51611,51641,51670,51699,51729,51758,51787,51816,51846,51876,51906,51936,51965,51995,52025,52054,52083,52113,52142,52171,52200,52230,52260,52290,52319,52349,52379,52408,52438,52467,52497,52526,52555,52585,52614,52644,52673,52703,52733,52762,52792,52822,52851,52881,52910,52939,52969,52998,53028,53057,53087,53116,53146,53176,53205,53235,53264,53294,53324,53353,53383,53412,53441,53471,53500,53530,53559,53589,53619,53648,53678,53708,53737,53767,53796,53825,53855,53884,53913,53943,53973,54003,54032,54062,54092,54121,54151,54180,54209,54239,54268,54297,54327,54357,54387,54416,54446,54476,54505,54535,54564,54593,54623,54652,54681,54711,54741,54770,54800,54830,54859,54889,54919,54948,54977,55007,55036,55066,55095,55125,55154,55184,55213,55243,55273,55302,55332,55361,55391,55420,55450,55479,55508,55538,55567,55597,55627,55657,55686,55716,55745,55775,55804,55834,55863,55892,55922,55951,55981,56011,56040,56070,56100,56129,56159,56188,56218,56247,56276,56306,56335,56365,56394,56424,56454,56483,56513,56543,56572,56601,56631,56660,56690,56719,56749,56778,56808,56837,56867,56897,56926,56956,56985,57015,57044,57074,57103,57133,57162,57192,57221,57251,57280,57310,57340,57369,57399,57429,57458,57487,57517,57546,57576,57605,57634,57664,57694,57723,57753,57783,57813,57842,57871,57901,57930,57959,57989,58018,58048,58077,58107,58137,58167,58196,58226,58255,58285,58314,58343,58373,58402,58432,58461,58491,58521,58551,58580,58610,58639,58669,58698,58727,58757,58786,58816,58845,58875,58905,58934,58964,58994,59023,59053,59082,59111,59141,59170,59200,59229,59259,59288,59318,59348,59377,59407,59436,59466,59495,59525,59554,59584,59613,59643,59672,59702,59731,59761,59791,59820,59850,59879,59909,59939,59968,59997,60027,60056,60086,60115,60145,60174,60204,60234,60264,60293,60323,60352,60381,60411,60440,60469,60499,60528,60558,60588,60618,60648,60677,60707,60736,60765,60795,60824,60853,60883,60912,60942,60972,61002,61031,61061,61090,61120,61149,61179,61208,61237,61267,61296,61326,61356,61385,61415,61445,61474,61504,61533,61563,61592,61621,61651,61680,61710,61739,61769,61799,61828,61858,61888,61917,61947,61976,62006,62035,62064,62094,62123,62153,62182,62212,62242,62271,62301,62331,62360,62390,62419,62448,62478,62507,62537,62566,62596,62625,62655,62685,62715,62744,62774,62803,62832,62862,62891,62921,62950,62980,63009,63039,63069,63099,63128,63157,63187,63216,63246,63275,63305,63334,63363,63393,63423,63453,63482,63512,63541,63571,63600,63630,63659,63689,63718,63747,63777,63807,63836,63866,63895,63925,63955,63984,64014,64043,64073,64102,64131,64161,64190,64220,64249,64279,64309,64339,64368,64398,64427,64457,64486,64515,64545,64574,64603,64633,64663,64692,64722,64752,64782,64811,64841,64870,64899,64929,64958,64987,65017,65047,65076,65106,65136,65166,65195,65225,65254,65283,65313,65342,65371,65401,65431,65460,65490,65520,65549,65579,65608,65638,65667,65697,65726,65755,65785,65815,65844,65874,65903,65933,65963,65992,66022,66051,66081,66110,66140,66169,66199,66228,66258,66287,66317,66346,66376,66405,66435,66465,66494,66524,66553,66583,66612,66641,66671,66700,66730,66760,66789,66819,66849,66878,66908,66937,66967,66996,67025,67055,67084,67114,67143,67173,67203,67233,67262,67292,67321,67351,67380,67409,67439,67468,67497,67527,67557,67587,67617,67646,67676,67705,67735,67764,67793,67823,67852,67882,67911,67941,67971,68e3,68030,68060,68089,68119,68148,68177,68207,68236,68266,68295,68325,68354,68384,68414,68443,68473,68502,68532,68561,68591,68620,68650,68679,68708,68738,68768,68797,68827,68857,68886,68916,68946,68975,69004,69034,69063,69092,69122,69152,69181,69211,69240,69270,69300,69330,69359,69388,69418,69447,69476,69506,69535,69565,69595,69624,69654,69684,69713,69743,69772,69802,69831,69861,69890,69919,69949,69978,70008,70038,70067,70097,70126,70156,70186,70215,70245,70274,70303,70333,70362,70392,70421,70451,70481,70510,70540,70570,70599,70629,70658,70687,70717,70746,70776,70805,70835,70864,70894,70924,70954,70983,71013,71042,71071,71101,71130,71159,71189,71218,71248,71278,71308,71337,71367,71397,71426,71455,71485,71514,71543,71573,71602,71632,71662,71691,71721,71751,71781,71810,71839,71869,71898,71927,71957,71986,72016,72046,72075,72105,72135,72164,72194,72223,72253,72282,72311,72341,72370,72400,72429,72459,72489,72518,72548,72577,72607,72637,72666,72695,72725,72754,72784,72813,72843,72872,72902,72931,72961,72991,73020,73050,73080,73109,73139,73168,73197,73227,73256,73286,73315,73345,73375,73404,73434,73464,73493,73523,73552,73581,73611,73640,73669,73699,73729,73758,73788,73818,73848,73877,73907,73936,73965,73995,74024,74053,74083,74113,74142,74172,74202,74231,74261,74291,74320,74349,74379,74408,74437,74467,74497,74526,74556,74586,74615,74645,74675,74704,74733,74763,74792,74822,74851,74881,74910,74940,74969,74999,75029,75058,75088,75117,75147,75176,75206,75235,75264,75294,75323,75353,75383,75412,75442,75472,75501,75531,75560,75590,75619,75648,75678,75707,75737,75766,75796,75826,75856,75885,75915,75944,75974,76003,76032,76062,76091,76121,76150,76180,76210,76239,76269,76299,76328,76358,76387,76416,76446,76475,76505,76534,76564,76593,76623,76653,76682,76712,76741,76771,76801,76830,76859,76889,76918,76948,76977,77007,77036,77066,77096,77125,77155,77185,77214,77243,77273,77302,77332,77361,77390,77420,77450,77479,77509,77539,77569,77598,77627,77657,77686,77715,77745,77774,77804,77833,77863,77893,77923,77952,77982,78011,78041,78070,78099,78129,78158,78188,78217,78247,78277,78307,78336,78366,78395,78425,78454,78483,78513,78542,78572,78601,78631,78661,78690,78720,78750,78779,78808,78838,78867,78897,78926,78956,78985,79015,79044,79074,79104,79133,79163,79192,79222,79251,79281,79310,79340,79369,79399,79428,79458,79487,79517,79546,79576,79606,79635,79665,79695,79724,79753,79783,79812,79841,79871,79900,79930,79960,79990]},{"../main":593,"object-assign":473}],593:[function(t,e,r){var n=t("object-assign");function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);i=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||"y"!==n&&"m"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var i={y:[1,1,"y"],m:[1,this.monthsInYear(-1),"m"],w:[this.daysInWeek(),this.daysInYear(-1),"d"],d:[1,this.daysInYear(-1),"d"]}[n],a=r<0?-1:1;e=this._add(t,r*i[0]+a*i[1],i[2])}return t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate);var n="y"===r?e:t.year(),i="m"===r?e:t.month(),a="d"===r?e:t.day();return"y"!==r&&"m"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return c.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(c.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this.local.name).replace(/\{1\}/,t.calendar().local.name);return t}try{if(this._validateLevel++,1===this._validateLevel&&!this.isValid(t,e,r))throw n.replace(/\{0\}/,this.local.name);var i=this.newDate(t,e,r);return this._validateLevel--,i}catch(t){throw this._validateLevel--,t}}}),l.prototype=new s,n(l.prototype,{name:"Gregorian",jdEpoch:1721425.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Gregorian",epochs:["BCE","CE"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==0&&(t%100!=0||t%400==0)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=(r=e+1+r-Math.floor(r/4))+1524,i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),c=i-(l>2.5?4716:4715);return c<=0&&c--,this.newDate(c,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var c=e.exports=new i;c.cdate=a,c.baseCalendar=s,c.calendars.gregorian=l},{"object-assign":473}],594:[function(t,e,r){var n=t("object-assign"),i=t("./main");n(i.regionalOptions[""],{invalidArguments:"Invalid arguments",invalidFormat:"Cannot format a date from another calendar",missingNumberAt:"Missing number at position {0}",unknownNameAt:"Unknown name at position {0}",unexpectedLiteralAt:"Unexpected literal at position {0}",unexpectedText:"Additional text found at end"}),i.local=i.regionalOptions[""],n(i.cdate.prototype,{formatDate:function(t,e){return"string"!=typeof t&&(e=t,t=""),this._calendar.formatDate(t||"",this,e)}}),n(i.baseCalendar.prototype,{UNIX_EPOCH:i.instance().newDate(1970,1,1).toJD(),SECS_PER_DAY:86400,TICKS_EPOCH:i.instance().jdEpoch,TICKS_PER_DAY:864e9,ATOM:"yyyy-mm-dd",COOKIE:"D, dd M yyyy",FULL:"DD, MM d, yyyy",ISO_8601:"yyyy-mm-dd",JULIAN:"J",RFC_822:"D, d M yy",RFC_850:"DD, dd-M-yy",RFC_1036:"D, d M yy",RFC_1123:"D, d M yyyy",RFC_2822:"D, d M yyyy",RSS:"D, d M yy",TICKS:"!",TIMESTAMP:"@",W3C:"yyyy-mm-dd",formatDate:function(t,e,r){if("string"!=typeof t&&(r=e,e=t,t=""),!e)return"";if(e.calendar()!==this)throw i.local.invalidFormat||i.regionalOptions[""].invalidFormat;t=t||this.local.dateFormat;for(var n,a,o,s,l=(r=r||{}).dayNamesShort||this.local.dayNamesShort,c=r.dayNames||this.local.dayNames,u=r.monthNumbers||this.local.monthNumbers,h=r.monthNamesShort||this.local.monthNamesShort,f=r.monthNames||this.local.monthNames,p=(r.calculateWeek||this.local.calculateWeek,function(e,r){for(var n=1;w+n<t.length&&t.charAt(w+n)===e;)n++;return w+=n-1,Math.floor(n/(r||1))>1}),d=function(t,e,r,n){var i=""+e;if(p(t,n))for(;i.length<r;)i="0"+i;return i},g=this,m=function(t){return"function"==typeof u?u.call(g,t,p("m")):x(d("m",t.month(),2))},v=function(t,e){return e?"function"==typeof f?f.call(g,t):f[t.month()-g.minMonth]:"function"==typeof h?h.call(g,t):h[t.month()-g.minMonth]},y=this.local.digits,x=function(t){return r.localNumbers&&y?y(t):t},b="",_=!1,w=0;w<t.length;w++)if(_)"'"!==t.charAt(w)||p("'")?b+=t.charAt(w):_=!1;else switch(t.charAt(w)){case"d":b+=x(d("d",e.day(),2));break;case"D":b+=(n="D",a=e.dayOfWeek(),o=l,s=c,p(n)?s[a]:o[a]);break;case"o":b+=d("o",e.dayOfYear(),3);break;case"w":b+=d("w",e.weekOfYear(),2);break;case"m":b+=m(e);break;case"M":b+=v(e,p("M"));break;case"y":b+=p("y",2)?e.year():(e.year()%100<10?"0":"")+e.year()%100;break;case"Y":p("Y",2),b+=e.formatYear();break;case"J":b+=e.toJD();break;case"@":b+=(e.toJD()-this.UNIX_EPOCH)*this.SECS_PER_DAY;break;case"!":b+=(e.toJD()-this.TICKS_EPOCH)*this.TICKS_PER_DAY;break;case"'":p("'")?b+="'":_=!0;break;default:b+=t.charAt(w)}return b},parseDate:function(t,e,r){if(null==e)throw i.local.invalidArguments||i.regionalOptions[""].invalidArguments;if(""===(e="object"==typeof e?e.toString():e+""))return null;t=t||this.local.dateFormat;var n=(r=r||{}).shortYearCutoff||this.shortYearCutoff;n="string"!=typeof n?n:this.today().year()%100+parseInt(n,10);for(var a=r.dayNamesShort||this.local.dayNamesShort,o=r.dayNames||this.local.dayNames,s=r.parseMonth||this.local.parseMonth,l=r.monthNumbers||this.local.monthNumbers,c=r.monthNamesShort||this.local.monthNamesShort,u=r.monthNames||this.local.monthNames,h=-1,f=-1,p=-1,d=-1,g=-1,m=!1,v=!1,y=function(e,r){for(var n=1;A+n<t.length&&t.charAt(A+n)===e;)n++;return A+=n-1,Math.floor(n/(r||1))>1},x=function(t,r){var n=y(t,r),a=[2,3,n?4:2,n?4:2,10,11,20]["oyYJ@!".indexOf(t)+1],o=new RegExp("^-?\\d{1,"+a+"}"),s=e.substring(M).match(o);if(!s)throw(i.local.missingNumberAt||i.regionalOptions[""].missingNumberAt).replace(/\{0\}/,M);return M+=s[0].length,parseInt(s[0],10)},b=this,_=function(){if("function"==typeof l){y("m");var t=l.call(b,e.substring(M));return M+=t.length,t}return x("m")},w=function(t,r,n,a){for(var o=y(t,a)?n:r,s=0;s<o.length;s++)if(e.substr(M,o[s].length).toLowerCase()===o[s].toLowerCase())return M+=o[s].length,s+b.minMonth;throw(i.local.unknownNameAt||i.regionalOptions[""].unknownNameAt).replace(/\{0\}/,M)},T=function(){if("function"==typeof u){var t=y("M")?u.call(b,e.substring(M)):c.call(b,e.substring(M));return M+=t.length,t}return w("M",c,u)},k=function(){if(e.charAt(M)!==t.charAt(A))throw(i.local.unexpectedLiteralAt||i.regionalOptions[""].unexpectedLiteralAt).replace(/\{0\}/,M);M++},M=0,A=0;A<t.length;A++)if(v)"'"!==t.charAt(A)||y("'")?k():v=!1;else switch(t.charAt(A)){case"d":d=x("d");break;case"D":w("D",a,o);break;case"o":g=x("o");break;case"w":x("w");break;case"m":p=_();break;case"M":p=T();break;case"y":var S=A;m=!y("y",2),A=S,f=x("y",2);break;case"Y":f=x("Y",2);break;case"J":h=x("J")+.5,"."===e.charAt(M)&&(M++,x("J"));break;case"@":h=x("@")/this.SECS_PER_DAY+this.UNIX_EPOCH;break;case"!":h=x("!")/this.TICKS_PER_DAY+this.TICKS_EPOCH;break;case"*":M=e.length;break;case"'":y("'")?k():v=!0;break;default:k()}if(M<e.length)throw i.local.unexpectedText||i.regionalOptions[""].unexpectedText;if(-1===f?f=this.today().year():f<100&&m&&(f+=-1===n?1900:this.today().year()-this.today().year()%100-(f<=n?0:100)),"string"==typeof p&&(p=s.call(this,f,p)),g>-1){p=1,d=g;for(var E=this.daysInMonth(f,p);d>E;E=this.daysInMonth(f,p))p++,d-=E}return h>-1?this.fromJD(h):this.newDate(f,p,d)},determineDate:function(t,e,r,n,i){r&&"object"!=typeof r&&(i=n,n=r,r=null),"string"!=typeof n&&(i=n,n="");var a=this;return e=e?e.newDate():null,t=null==t?e:"string"==typeof t?function(t){try{return a.parseDate(n,t,i)}catch(t){}for(var e=((t=t.toLowerCase()).match(/^c/)&&r?r.newDate():null)||a.today(),o=/([+-]?[0-9]+)\s*(d|w|m|y)?/g,s=o.exec(t);s;)e.add(parseInt(s[1],10),s[2]||"d"),s=o.exec(t);return e}(t):"number"==typeof t?isNaN(t)||t===1/0||t===-1/0?e:a.today().add(t,"d"):a.newDate(t)}})},{"./main":593,"object-assign":473}],595:[function(t,e,r){e.exports=t("cwise-compiler")({args:["array",{offset:[1],array:0},"scalar","scalar","index"],pre:{body:"{}",args:[],thisVars:[],localVars:[]},post:{body:"{}",args:[],thisVars:[],localVars:[]},body:{body:"{\n        var _inline_1_da = _inline_1_arg0_ - _inline_1_arg3_\n        var _inline_1_db = _inline_1_arg1_ - _inline_1_arg3_\n        if((_inline_1_da >= 0) !== (_inline_1_db >= 0)) {\n          _inline_1_arg2_.push(_inline_1_arg4_[0] + 0.5 + 0.5 * (_inline_1_da + _inline_1_db) / (_inline_1_da - _inline_1_db))\n        }\n      }",args:[{name:"_inline_1_arg0_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_1_arg1_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_1_arg2_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_1_arg3_",lvalue:!1,rvalue:!0,count:2},{name:"_inline_1_arg4_",lvalue:!1,rvalue:!0,count:1}],thisVars:[],localVars:["_inline_1_da","_inline_1_db"]},funcName:"zeroCrossings"})},{"cwise-compiler":151}],596:[function(t,e,r){"use strict";e.exports=function(t,e){var r=[];return e=+e||0,n(t.hi(t.shape[0]-1),r,e),r};var n=t("./lib/zc-core")},{"./lib/zc-core":595}],597:[function(t,e,r){"use strict";e.exports=[{path:"",backoff:0},{path:"M-2.4,-3V3L0.6,0Z",backoff:.6},{path:"M-3.7,-2.5V2.5L1.3,0Z",backoff:1.3},{path:"M-4.45,-3L-1.65,-0.2V0.2L-4.45,3L1.55,0Z",backoff:1.55},{path:"M-2.2,-2.2L-0.2,-0.2V0.2L-2.2,2.2L-1.4,3L1.6,0L-1.4,-3Z",backoff:1.6},{path:"M-4.4,-2.1L-0.6,-0.2V0.2L-4.4,2.1L-4,3L2,0L-4,-3Z",backoff:2},{path:"M2,0A2,2 0 1,1 0,-2A2,2 0 0,1 2,0Z",backoff:0,noRotate:!0},{path:"M2,2V-2H-2V2Z",backoff:0,noRotate:!0}]},{}],598:[function(t,e,r){"use strict";var n=t("./arrow_paths"),i=t("../../plots/font_attributes"),a=t("../../plots/cartesian/constants"),o=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=o("annotation",{visible:{valType:"boolean",dflt:!0,editType:"calc+arraydraw"},text:{valType:"string",editType:"calc+arraydraw"},textangle:{valType:"angle",dflt:0,editType:"calc+arraydraw"},font:i({editType:"calc+arraydraw",colorEditType:"arraydraw"}),width:{valType:"number",min:1,dflt:null,editType:"calc+arraydraw"},height:{valType:"number",min:1,dflt:null,editType:"calc+arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},align:{valType:"enumerated",values:["left","center","right"],dflt:"center",editType:"arraydraw"},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"arraydraw"},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw"},bordercolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw"},borderpad:{valType:"number",min:0,dflt:1,editType:"calc+arraydraw"},borderwidth:{valType:"number",min:0,dflt:1,editType:"calc+arraydraw"},showarrow:{valType:"boolean",dflt:!0,editType:"calc+arraydraw"},arrowcolor:{valType:"color",editType:"arraydraw"},arrowhead:{valType:"integer",min:0,max:n.length,dflt:1,editType:"arraydraw"},startarrowhead:{valType:"integer",min:0,max:n.length,dflt:1,editType:"arraydraw"},arrowside:{valType:"flaglist",flags:["end","start"],extras:["none"],dflt:"end",editType:"arraydraw"},arrowsize:{valType:"number",min:.3,dflt:1,editType:"calc+arraydraw"},startarrowsize:{valType:"number",min:.3,dflt:1,editType:"calc+arraydraw"},arrowwidth:{valType:"number",min:.1,editType:"calc+arraydraw"},standoff:{valType:"number",min:0,dflt:0,editType:"calc+arraydraw"},startstandoff:{valType:"number",min:0,dflt:0,editType:"calc+arraydraw"},ax:{valType:"any",editType:"calc+arraydraw"},ay:{valType:"any",editType:"calc+arraydraw"},axref:{valType:"enumerated",dflt:"pixel",values:["pixel",a.idRegex.x.toString()],editType:"calc"},ayref:{valType:"enumerated",dflt:"pixel",values:["pixel",a.idRegex.y.toString()],editType:"calc"},xref:{valType:"enumerated",values:["paper",a.idRegex.x.toString()],editType:"calc"},x:{valType:"any",editType:"calc+arraydraw"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"auto",editType:"calc+arraydraw"},xshift:{valType:"number",dflt:0,editType:"calc+arraydraw"},yref:{valType:"enumerated",values:["paper",a.idRegex.y.toString()],editType:"calc"},y:{valType:"any",editType:"calc+arraydraw"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"auto",editType:"calc+arraydraw"},yshift:{valType:"number",dflt:0,editType:"calc+arraydraw"},clicktoshow:{valType:"enumerated",values:[!1,"onoff","onout"],dflt:!1,editType:"arraydraw"},xclick:{valType:"any",editType:"arraydraw"},yclick:{valType:"any",editType:"arraydraw"},hovertext:{valType:"string",editType:"arraydraw"},hoverlabel:{bgcolor:{valType:"color",editType:"arraydraw"},bordercolor:{valType:"color",editType:"arraydraw"},font:i({editType:"arraydraw"}),editType:"arraydraw"},captureevents:{valType:"boolean",editType:"arraydraw"},editType:"calc",_deprecated:{ref:{valType:"string",editType:"calc"}}})},{"../../constants/axis_placeable_objects":718,"../../plot_api/plot_template":788,"../../plots/cartesian/constants":805,"../../plots/font_attributes":827,"./arrow_paths":597}],599:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("./draw").draw;function o(t){var e=t._fullLayout;n.filterVisible(e.annotations).forEach((function(e){var r=i.getFromId(t,e.xref),n=i.getFromId(t,e.yref),a=i.getRefType(e.xref),o=i.getRefType(e.yref);e._extremes={},"range"===a&&s(e,r),"range"===o&&s(e,n)}))}function s(t,e){var r,n=e._id,a=n.charAt(0),o=t[a],s=t["a"+a],l=t[a+"ref"],c=t["a"+a+"ref"],u=t["_"+a+"padplus"],h=t["_"+a+"padminus"],f={x:1,y:-1}[a]*t[a+"shift"],p=3*t.arrowsize*t.arrowwidth||0,d=p+f,g=p-f,m=3*t.startarrowsize*t.arrowwidth||0,v=m+f,y=m-f;if(c===l){var x=i.findExtremes(e,[e.r2c(o)],{ppadplus:d,ppadminus:g}),b=i.findExtremes(e,[e.r2c(s)],{ppadplus:Math.max(u,v),ppadminus:Math.max(h,y)});r={min:[x.min[0],b.min[0]],max:[x.max[0],b.max[0]]}}else v=s?v+s:v,y=s?y-s:y,r=i.findExtremes(e,[e.r2c(o)],{ppadplus:Math.max(u,d,v),ppadminus:Math.max(h,g,y)});t._extremes[n]=r}e.exports=function(t){var e=t._fullLayout;if(n.filterVisible(e.annotations).length&&t._fullData.length)return n.syncOrAsync([a,o],t)}},{"../../lib":750,"../../plots/cartesian/axes":799,"./draw":604}],600:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("../../plot_api/plot_template").arrayEditor;function o(t,e){var r,n,i,a,o,l,c,u=t._fullLayout.annotations,h=[],f=[],p=[],d=(e||[]).length;for(r=0;r<u.length;r++)if(a=(i=u[r]).clicktoshow){for(n=0;n<d;n++)if(l=(o=e[n]).xaxis,c=o.yaxis,l._id===i.xref&&c._id===i.yref&&l.d2r(o.x)===s(i._xclick,l)&&c.d2r(o.y)===s(i._yclick,c)){(i.visible?"onout"===a?f:p:h).push(r);break}n===d&&i.visible&&"onout"===a&&f.push(r)}return{on:h,off:f,explicitOff:p}}function s(t,e){return"log"===e.type?e.l2r(t):e.d2r(t)}e.exports={hasClickToShow:function(t,e){var r=o(t,e);return r.on.length>0||r.explicitOff.length>0},onClick:function(t,e){var r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),h={},f=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,"annotations",f[c[r]])).modifyItem("visible",!0),n.extendFlat(h,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,"annotations",f[u[r]])).modifyItem("visible",!1),n.extendFlat(h,s.getUpdateObj());return i.call("update",t,{},h)}}},{"../../lib":750,"../../plot_api/plot_template":788,"../../registry":882}],601:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color");e.exports=function(t,e,r,a){a("opacity");var o=a("bgcolor"),s=a("bordercolor"),l=i.opacity(s);a("borderpad");var c=a("borderwidth"),u=a("showarrow");if(a("text",u?" ":r._dfltTitle.annotation),a("textangle"),n.coerceFont(a,"font",r.font),a("width"),a("align"),a("height")&&a("valign"),u){var h,f,p=a("arrowside");-1!==p.indexOf("end")&&(h=a("arrowhead"),f=a("arrowsize")),-1!==p.indexOf("start")&&(a("startarrowhead",h),a("startarrowsize",f)),a("arrowcolor",l?e.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var d=a("hovertext"),g=r.hoverlabel||{};if(d){var m=a("hoverlabel.bgcolor",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",g.bordercolor||i.contrast(m));n.coerceFont(a,"hoverlabel.font",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a("captureevents",!!d)}},{"../../lib":750,"../color":615}],602:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c="annotations["+f+"].",l[h+"ref"]===e._id&&p(h),l["a"+h+"ref"]===e._id&&p("a"+h);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{"../../lib/to_log_range":776,"fast-isnumeric":241}],603:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./common_defaults"),s=t("./attributes");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(t,e,r,a);for(var u=e.showarrow,h=["x","y"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=i.coerceRef(t,e,p,g,"","paper");if("paper"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v="a"+g,y=i.coerceRef(t,e,p,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==m&&(y=e[v]="pixel");var x="pixel"===y?f[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+"anchor"),a(g+"shift")}if(n.noneOrAll(t,e,["x","y"]),u&&n.noneOrAll(t,e,["ax","ay"]),c){var b=a("xclick"),_=a("yclick");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:"annotations",handleItemDefaults:l})}},{"../../lib":750,"../../plots/array_container_defaults":794,"../../plots/cartesian/axes":799,"./attributes":598,"./common_defaults":601}],604:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=t("../../plots/cartesian/axes"),l=t("../color"),c=t("../drawing"),u=t("../fx"),h=t("../../lib/svg_text_utils"),f=t("../../lib/setcursor"),p=t("../dragelement"),d=t("../../plot_api/plot_template").arrayEditor,g=t("./draw_arrow_head");function m(t,e){var r=t._fullLayout.annotations[e]||{},n=s.getFromId(t,r.xref),i=s.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),y(t,r,e,!1,n,i)}function v(t,e,r,n,i){var a=i[r],o=i[r+"ref"],l=-1!==r.indexOf("y"),c="domain"===s.getRefType(o),u=l?n.h:n.w;return t?c?a+(l?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(l?-e:e)/u}function y(t,e,r,a,m,y){var x,b,_=t._fullLayout,w=t._fullLayout._size,T=t._context.edits;a?(x="annotation-"+a,b=a+".annotations"):(x="annotation",b="annotations");var k=d(t.layout,b,e),M=k.modifyBase,A=k.modifyItem,S=k.getUpdateObj;_._infolayer.selectAll("."+x+'[data-index="'+r+'"]').remove();var E="clip"+_._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},L=+e.textangle||0,P=_._infolayer.append("g").classed(x,!0).attr("data-index",String(r)).style("opacity",e.opacity),I=P.append("g").classed("annotation-text-g",!0),z=T[e.showarrow?"annotationTail":"annotationPosition"],O=e.captureevents||T.annotationText||z,D=I.append("g").style("pointer-events",O?"all":null).call(f,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",G(n.event))}));e.hovertext&&D.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();u.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:_._hoverlayer.node(),outerContainer:_._paper.node(),gd:t})})).on("mouseout",(function(){u.loneUnhover(_._hoverlayer.node())}));var R=e.borderwidth,F=e.borderpad,B=R+F,N=D.append("rect").attr("class","bg").style("stroke-width",R+"px").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),j=e.width||e.height,U=_._topclips.selectAll("#"+E).data(j?[0]:[]);U.enter().append("clipPath").classed("annclip",!0).attr("id",E).append("rect"),U.exit().remove();var V=e.font,q=_._meta?o.templateString(e.text,_._meta):e.text,H=D.append("text").classed("annotation-text",!0).text(q);T.annotationText?H.call(h.makeEditable,{delegate:D,gd:t}).call(Y).on("edit",(function(r){e.text=r,this.call(Y),A("text",r),m&&m.autorange&&M(m._name+".autorange",!0),y&&y.autorange&&M(y._name+".autorange",!0),i.call("_guiRelayout",t,S())})):H.call(Y)}else n.selectAll("#"+E).remove();function G(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,V).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,W),r}function W(){var r=H.selectAll("a");1===r.size()&&r.text()===H.text()&&D.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(N.node());var n=D.select(".annotation-text-math-group"),u=!n.empty(),d=c.bBox((u?n:H).node()),x=d.width,b=d.height,k=e.width||x,O=e.height||b,F=Math.round(k+2*B),V=Math.round(O+2*B);function q(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,W=["x","y"],Z=0;Z<W.length;Z++){var X,J,K,Q,$,tt=W[Z],et=e[tt+"ref"]||tt,rt=e["a"+tt+"ref"],nt={x:m,y:y}[tt],it=(L+("x"===tt?0:-90))*Math.PI/180,at=F*Math.cos(it),ot=V*Math.sin(it),st=Math.abs(at)+Math.abs(ot),lt=e[tt+"anchor"],ct=e[tt+"shift"]*("x"===tt?1:-1),ut=C[tt],ht=s.getRefType(et);if(nt&&"domain"!==ht){var ft=nt.r2fraction(e[tt]);(ft<0||ft>1)&&(rt===et?((ft=nt.r2fraction(e["a"+tt]))<0||ft>1)&&(Y=!0):Y=!0),X=nt._offset+nt.r2p(e[tt]),Q=.5}else{var pt="domain"===ht;"x"===tt?(K=e[tt],X=pt?nt._offset+nt._length*K:X=w.l+w.w*K):(K=1-e[tt],X=pt?nt._offset+nt._length*K:X=w.t+w.h*K),Q=e.showarrow?.5:K}if(e.showarrow){ut.head=X;var dt=e["a"+tt];if($=at*q(.5,e.xanchor)-ot*q(.5,e.yanchor),rt===et){var gt=s.getRefType(rt);"domain"===gt?("y"===tt&&(dt=1-dt),ut.tail=nt._offset+nt._length*dt):"paper"===gt?"y"===tt?(dt=1-dt,ut.tail=w.t+w.h*dt):ut.tail=w.l+w.w*dt:ut.tail=nt._offset+nt.r2p(dt),J=$}else ut.tail=X+dt,J=$+dt;ut.text=ut.tail+$;var mt=_["x"===tt?"width":"height"];if("paper"===et&&(ut.head=o.constrain(ut.head,1,mt-1)),"pixel"===rt){var vt=-Math.max(ut.tail-3,ut.text),yt=Math.min(ut.tail+3,ut.text)-mt;vt>0?(ut.tail+=vt,ut.text+=vt):yt>0&&(ut.tail-=yt,ut.text-=yt)}ut.tail+=ct,ut.head+=ct}else J=$=st*q(Q,lt),ut.text=X+$;ut.text+=ct,$+=ct,J+=ct,e["_"+tt+"padplus"]=st/2+J,e["_"+tt+"padminus"]=st/2-J,e["_"+tt+"size"]=st,e["_"+tt+"shift"]=$}if(Y)D.remove();else{var xt=0,bt=0;if("left"!==e.align&&(xt=(k-x)*("center"===e.align?.5:1)),"top"!==e.valign&&(bt=(O-b)*("middle"===e.valign?.5:1)),u)n.select("svg").attr({x:B+xt-1,y:B+bt}).call(c.setClipUrl,j?E:null,t);else{var _t=B+bt-d.top,wt=B+xt-d.left;H.call(h.positionText,wt,_t).call(c.setClipUrl,j?E:null,t)}U.select("rect").call(c.setRect,B,B,k,O),N.call(c.setRect,R/2,R/2,F-R,V-R),D.call(c.setTranslate,Math.round(C.x.text-F/2),Math.round(C.y.text-V/2)),I.attr({transform:"rotate("+L+","+C.x.text+","+C.y.text+")"});var Tt,kt=function(r,n){P.selectAll(".annotation-arrow-g").remove();var s=C.x.head,u=C.y.head,h=C.x.tail+r,f=C.y.tail+n,d=C.x.text+r,x=C.y.text+n,b=o.rotationXYMatrix(L,d,x),_=o.apply2DTransform(b),k=o.apply2DTransform2(b),E=+N.attr("width"),z=+N.attr("height"),O=d-.5*E,R=O+E,F=x-.5*z,B=F+z,j=[[O,F,O,B],[O,B,R,B],[R,B,R,F],[R,F,O,F]].map(k);if(!j.reduce((function(t,e){return t^!!o.segmentsIntersect(s,u,s+1e6,u+1e6,e[0],e[1],e[2],e[3])}),!1)){j.forEach((function(t){var e=o.segmentsIntersect(h,f,s,u,t[0],t[1],t[2],t[3]);e&&(h=e.x,f=e.y)}));var U=e.arrowwidth,V=e.arrowcolor,q=e.arrowside,H=P.append("g").style({opacity:l.opacity(V)}).classed("annotation-arrow-g",!0),G=H.append("path").attr("d","M"+h+","+f+"L"+s+","+u).style("stroke-width",U+"px").call(l.stroke,l.rgb(V));if(g(G,q,e),T.annotationPosition&&G.node().parentNode&&!a){var Y=s,W=u;if(e.standoff){var Z=Math.sqrt(Math.pow(s-h,2)+Math.pow(u-f,2));Y+=e.standoff*(h-s)/Z,W+=e.standoff*(f-u)/Z}var X,J,K=H.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-Y)+","+(f-W),transform:"translate("+Y+","+W+")"}).style("stroke-width",U+6+"px").call(l.stroke,"rgba(0,0,0,0)").call(l.fill,"rgba(0,0,0,0)");p.init({element:K.node(),gd:t,prepFn:function(){var t=c.getTranslate(D);X=t.x,J=t.y,m&&m.autorange&&M(m._name+".autorange",!0),y&&y.autorange&&M(y._name+".autorange",!0)},moveFn:function(t,r){var n=_(X,J),i=n[0]+t,a=n[1]+r;D.call(c.setTranslate,i,a),A("x",v(m,t,"x",w,e)),A("y",v(y,r,"y",w,e)),e.axref===e.xref&&A("ax",v(m,t,"ax",w,e)),e.ayref===e.yref&&A("ay",v(y,r,"ay",w,e)),H.attr("transform","translate("+t+","+r+")"),I.attr({transform:"rotate("+L+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,S());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&kt(0,0),z)p.init({element:D.node(),gd:t,prepFn:function(){Tt=I.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?A("ax",v(m,t,"ax",w,e)):A("ax",e.ax+t),e.ayref===e.yref?A("ay",v(y,r,"ay",w.w,e)):A("ay",e.ay+r),kt(t,r);else{if(a)return;var i,o;if(m)i=v(m,t,"x",w,e);else{var s=e._xsize/w.w,l=e.x+(e._xshift-e.xshift)/w.w-s/2;i=p.align(l+t/w.w,s,0,1,e.xanchor)}if(y)o=v(y,r,"y",w,e);else{var c=e._ysize/w.h,u=e.y-(e._yshift+e.yshift)/w.h-c/2;o=p.align(u-r/w.h,c,0,1,e.yanchor)}A("x",i),A("y",o),m&&y||(n=p.getCursor(m?.5:i,y?.5:o,e.xanchor,e.yanchor))}I.attr({transform:"translate("+t+","+r+")"+Tt}),f(D,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",G(n))},doneFn:function(){f(D),i.call("_guiRelayout",t,S());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&m(t,r);return a.previousPromises(t)},drawOne:m,drawRaw:y}},{"../../lib":750,"../../lib/setcursor":770,"../../lib/svg_text_utils":774,"../../plot_api/plot_template":788,"../../plots/cartesian/axes":799,"../../plots/plots":862,"../../registry":882,"../color":615,"../dragelement":634,"../drawing":637,"../fx":655,"./draw_arrow_head":605,d3:169}],605:[function(t,e,r){"use strict";var n=t("d3"),i=t("../color"),a=t("./arrow_paths");e.exports=function(t,e,r){var o,s,l,c,u=t.node(),h=a[r.arrowhead||0],f=a[r.startarrowhead||0],p=(r.arrowwidth||1)*(r.arrowsize||1),d=(r.arrowwidth||1)*(r.startarrowsize||1),g=e.indexOf("start")>=0,m=e.indexOf("end")>=0,v=h.backoff*p+r.standoff,y=f.backoff*d+r.startstandoff;if("line"===u.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},s={x:+t.attr("x2"),y:+t.attr("y2")};var x=o.x-s.x,b=o.y-s.y;if(c=(l=Math.atan2(b,x))+Math.PI,v&&y&&v+y>Math.sqrt(x*x+b*b))return void P();if(v){if(v*v>x*x+b*b)return void P();var _=v*Math.cos(l),w=v*Math.sin(l);s.x+=_,s.y+=w,t.attr({x2:s.x,y2:s.y})}if(y){if(y*y>x*x+b*b)return void P();var T=y*Math.cos(l),k=y*Math.sin(l);o.x-=T,o.y-=k,t.attr({x1:o.x,y1:o.y})}}else if("path"===u.nodeName){var M=u.getTotalLength(),A="";if(M<v+y)return void P();var S=u.getPointAtLength(0),E=u.getPointAtLength(.1);l=Math.atan2(S.y-E.y,S.x-E.x),o=u.getPointAtLength(Math.min(y,M)),A="0px,"+y+"px,";var C=u.getPointAtLength(M),L=u.getPointAtLength(M-.1);c=Math.atan2(C.y-L.y,C.x-L.x),s=u.getPointAtLength(Math.max(0,M-v)),A+=M-(A?y+v:v)+"px,"+M+"px",t.style("stroke-dasharray",A)}function P(){t.style("stroke-dasharray","0px,100px")}function I(e,a,o,s){e.path&&(e.noRotate&&(o=0),n.select(u.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:"translate("+a.x+","+a.y+")"+(o?"rotate("+180*o/Math.PI+")":"")+"scale("+s+")"}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}g&&I(f,o,l,d),m&&I(h,s,c,p)}},{"../color":615,"./arrow_paths":597,d3:169}],606:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":811,"./attributes":598,"./calc_autorange":599,"./click":600,"./convert_coords":602,"./defaults":603,"./draw":604}],607:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":781,"../../plot_api/plot_template":788,"../annotations/attributes":598}],608:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes");function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:"linear",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}e.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(".annotation-"+t.id).remove()}},{"../../lib":750,"../../plots/cartesian/axes":799}],609:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("../annotations/common_defaults"),s=t("./attributes");function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+"axis",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l("visible")&&(o(t,e,a.fullLayout,l),c("x"),c("y"),c("z"),n.noneOrAll(t,e,["x","y","z"]),e.xref="x",e.yref="y",e.zref="z",l("xanchor"),l("yanchor"),l("xshift"),l("yshift"),e.showarrow&&(e.axref="pixel",e.ayref="pixel",l("ax",-10),l("ay",-30),n.noneOrAll(t,e,["ax","ay"])))}e.exports=function(t,e,r){a(t,e,{name:"annotations",handleItemDefaults:l,fullLayout:r.fullLayout})}},{"../../lib":750,"../../plots/array_container_defaults":794,"../../plots/cartesian/axes":799,"../annotations/common_defaults":601,"./attributes":607}],610:[function(t,e,r){"use strict";var n=t("../annotations/draw").drawRaw,i=t("../../plots/gl3d/project"),a=["x","y","z"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=a[u],f=l[h],p=e[h+"axis"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{"../../plots/gl3d/project":850,"../annotations/draw":604}],611:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t("./convert"),draw:t("./draw")}},{"../../lib":750,"../../registry":882,"./attributes":607,"./convert":608,"./defaults":609,"./draw":610}],612:[function(t,e,r){"use strict";e.exports=t("world-calendars/dist/main"),t("world-calendars/dist/plus"),t("world-calendars/dist/calendars/chinese"),t("world-calendars/dist/calendars/coptic"),t("world-calendars/dist/calendars/discworld"),t("world-calendars/dist/calendars/ethiopian"),t("world-calendars/dist/calendars/hebrew"),t("world-calendars/dist/calendars/islamic"),t("world-calendars/dist/calendars/julian"),t("world-calendars/dist/calendars/mayan"),t("world-calendars/dist/calendars/nanakshahi"),t("world-calendars/dist/calendars/nepali"),t("world-calendars/dist/calendars/persian"),t("world-calendars/dist/calendars/taiwan"),t("world-calendars/dist/calendars/thai"),t("world-calendars/dist/calendars/ummalqura")},{"world-calendars/dist/calendars/chinese":579,"world-calendars/dist/calendars/coptic":580,"world-calendars/dist/calendars/discworld":581,"world-calendars/dist/calendars/ethiopian":582,"world-calendars/dist/calendars/hebrew":583,"world-calendars/dist/calendars/islamic":584,"world-calendars/dist/calendars/julian":585,"world-calendars/dist/calendars/mayan":586,"world-calendars/dist/calendars/nanakshahi":587,"world-calendars/dist/calendars/nepali":588,"world-calendars/dist/calendars/persian":589,"world-calendars/dist/calendars/taiwan":590,"world-calendars/dist/calendars/thai":591,"world-calendars/dist/calendars/ummalqura":592,"world-calendars/dist/main":593,"world-calendars/dist/plus":594}],613:[function(t,e,r){"use strict";var n=t("./calendars"),i=t("../../lib"),a=t("../../constants/numerical"),o=a.EPOCHJD,s=a.ONEDAY,l={valType:"enumerated",values:Object.keys(n.calendars),editType:"calc",dflt:"gregorian"},c=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},u={d:{0:"dd","-":"d"},e:{0:"d","-":"d"},a:{0:"D","-":"D"},A:{0:"DD","-":"DD"},j:{0:"oo","-":"o"},W:{0:"ww","-":"w"},m:{0:"mm","-":"m"},b:{0:"M","-":"M"},B:{0:"MM","-":"MM"},y:{0:"yy","-":"yy"},Y:{0:"yyyy","-":"yyyy"},U:"##",w:"##",c:{0:"D M d %X yyyy","-":"D M d %X yyyy"},x:{0:"mm/dd/yyyy","-":"mm/dd/yyyy"}};var h={};function f(t){var e=h[t];return e||(e=h[t]=n.instance(t))}function p(t){return i.extendFlat({},l,{description:t})}function d(t){return"Sets the calendar system to use with `"+t+"` date data."}var g={xcalendar:p(d("x"))},m=i.extendFlat({},g,{ycalendar:p(d("y"))}),v=i.extendFlat({},m,{zcalendar:p(d("z"))}),y=p(["Sets the calendar system to use for `range` and `tick0`","if this is a date axis. This does not set the calendar for","interpreting data on this axis, that's specified in the trace","or via the global `layout.calendar`"].join(" "));e.exports={moduleType:"component",name:"calendars",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p(["Sets the default calendar system to use for interpreting and","displaying dates throughout the plot."].join(" "))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p(["Sets the calendar system to use for `value`, if it is a date."].join(" ")),targetcalendar:p(["Sets the calendar system to use for `target`, if it is an","array of dates. If `target` is a string (eg *x*) we use the","corresponding trace attribute (eg `xcalendar`) if it exists,","even if `targetcalendar` is provided."].join(" "))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+"calendar",n.calendar)},CANONICAL_SUNDAY:{chinese:"2000-01-02",coptic:"2000-01-03",discworld:"2000-01-03",ethiopian:"2000-01-05",hebrew:"5000-01-01",islamic:"1000-01-02",julian:"2000-01-03",mayan:"5000-01-01",nanakshahi:"1000-01-05",nepali:"2000-01-05",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-04",thai:"2000-01-04",ummalqura:"1400-01-06"},CANONICAL_TICK:{chinese:"2000-01-01",coptic:"2000-01-01",discworld:"2000-01-01",ethiopian:"2000-01-01",hebrew:"5000-01-01",islamic:"1000-01-01",julian:"2000-01-01",mayan:"5000-01-01",nanakshahi:"1000-01-01",nepali:"2000-01-01",persian:"1000-01-01",jalali:"1000-01-01",taiwan:"1000-01-01",thai:"2000-01-01",ummalqura:"1400-01-01"},DFLTRANGE:{chinese:["2000-01-01","2001-01-01"],coptic:["1700-01-01","1701-01-01"],discworld:["1800-01-01","1801-01-01"],ethiopian:["2000-01-01","2001-01-01"],hebrew:["5700-01-01","5701-01-01"],islamic:["1400-01-01","1401-01-01"],julian:["2000-01-01","2001-01-01"],mayan:["5200-01-01","5201-01-01"],nanakshahi:["0500-01-01","0501-01-01"],nepali:["2000-01-01","2001-01-01"],persian:["1400-01-01","1401-01-01"],jalali:["1400-01-01","1401-01-01"],taiwan:["0100-01-01","0101-01-01"],thai:["2500-01-01","2501-01-01"],ummalqura:["1400-01-01","1401-01-01"]},getCal:f,worldCalFmt:function(t,e,r){for(var n,i,a,l,c,h=Math.floor((e+.05)/s)+o,p=f(r).fromJD(h),d=0;-1!==(d=t.indexOf("%",d));)"0"===(n=t.charAt(d+1))||"-"===n||"_"===n?(a=3,i=t.charAt(d+2),"_"===n&&(n="-")):(i=n,n="0",a=2),(l=u[i])?(c="##"===l?"##":p.formatDate(l[n]),t=t.substr(0,d)+c+t.substr(d+a),d+=c.length):d+=a;return t}}},{"../../constants/numerical":725,"../../lib":750,"./calendars":612}],614:[function(t,e,r){"use strict";r.defaults=["#1f77b4","#ff7f0e","#2ca02c","#d62728","#9467bd","#8c564b","#e377c2","#7f7f7f","#bcbd22","#17becf"],r.defaultLine="#444",r.lightLine="#eee",r.background="#fff",r.borderLine="#BEC8D9",r.lightFraction=1e3/11},{}],615:[function(t,e,r){"use strict";var n=t("tinycolor2"),i=t("fast-isnumeric"),a=e.exports={},o=t("./attributes");a.defaults=o.defaults;var s=a.defaultLine=o.defaultLine;a.lightLine=o.lightLine;var l=a.background=o.background;function c(t){if(i(t)||"string"!=typeof t)return t;var e=t.trim();if("rgb"!==e.substr(0,3))return t;var r=e.match(/^rgba?\s*\(([^()]*)\)$/);if(!r)return t;var n=r[1].trim().split(/\s*[\s,]\s*/),a="a"===e.charAt(3)&&4===n.length;if(!a&&3!==n.length)return t;for(var o=0;o<n.length;o++){if(!n[o].length)return t;if(n[o]=Number(n[o]),!(n[o]>=0))return t;if(3===o)n[o]>1&&(n[o]=1);else if(n[o]>=1)return t}var s=Math.round(255*n[0])+", "+Math.round(255*n[1])+", "+Math.round(255*n[2]);return a?"rgba("+s+", "+n[3]+")":"rgb("+s+")"}a.tinyRGB=function(t){var e=t.toRgb();return"rgb("+Math.round(e.r)+", "+Math.round(e.g)+", "+Math.round(e.b)+")"},a.rgb=function(t){return a.tinyRGB(n(t))},a.opacity=function(t){return t?n(t).getAlpha():0},a.addOpacity=function(t,e){var r=n(t).toRgb();return"rgba("+Math.round(r.r)+", "+Math.round(r.g)+", "+Math.round(r.b)+", "+e+")"},a.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var i=n(e||l).toRgb(),a=1===i.a?i:{r:255*(1-i.a)+i.r*i.a,g:255*(1-i.a)+i.g*i.a,b:255*(1-i.a)+i.b*i.a},o={r:a.r*(1-r.a)+r.r*r.a,g:a.g*(1-r.a)+r.g*r.a,b:a.b*(1-r.a)+r.b*r.a};return n(o).toRgbString()},a.contrast=function(t,e,r){var i=n(t);return 1!==i.getAlpha()&&(i=n(a.combine(t,l))),(i.isDark()?e?i.lighten(e):l:r?i.darken(r):s).toString()},a.stroke=function(t,e){var r=n(e);t.style({stroke:a.tinyRGB(r),"stroke-opacity":r.getAlpha()})},a.fill=function(t,e){var r=n(e);t.style({fill:a.tinyRGB(r),"fill-opacity":r.getAlpha()})},a.clean=function(t){if(t&&"object"==typeof t){var e,r,n,i,o=Object.keys(t);for(e=0;e<o.length;e++)if(i=t[n=o[e]],"color"===n.substr(n.length-5))if(Array.isArray(i))for(r=0;r<i.length;r++)i[r]=c(i[r]);else t[n]=c(i);else if("colorscale"===n.substr(n.length-10)&&Array.isArray(i))for(r=0;r<i.length;r++)Array.isArray(i[r])&&(i[r][1]=c(i[r][1]));else if(Array.isArray(i)){var s=i[0];if(!Array.isArray(s)&&s&&"object"==typeof s)for(r=0;r<i.length;r++)a.clean(i[r])}else i&&"object"==typeof i&&a.clean(i)}}},{"./attributes":614,"fast-isnumeric":241,tinycolor2:548}],616:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/layout_attributes"),i=t("../../plots/font_attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll;e.exports=o({thicknessmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"pixels"},thickness:{valType:"number",min:0,dflt:30},lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",dflt:1.02,min:-2,max:3},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left"},xpad:{valType:"number",min:0,dflt:10},y:{valType:"number",dflt:.5,min:-2,max:3},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle"},ypad:{valType:"number",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:"number",min:0,dflt:0},bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)"},tickmode:n.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:""}),ticklen:n.ticklen,tickwidth:n.tickwidth,tickcolor:n.tickcolor,showticklabels:n.showticklabels,tickfont:i({}),tickangle:n.tickangle,tickformat:n.tickformat,tickformatstops:n.tickformatstops,tickprefix:n.tickprefix,showtickprefix:n.showtickprefix,ticksuffix:n.ticksuffix,showticksuffix:n.showticksuffix,separatethousands:n.separatethousands,exponentformat:n.exponentformat,minexponent:n.minexponent,showexponent:n.showexponent,title:{text:{valType:"string"},font:i({}),side:{valType:"enumerated",values:["right","top","bottom"],dflt:"top"}},_deprecated:{title:{valType:"string"},titlefont:i({}),titleside:{valType:"enumerated",values:["right","top","bottom"],dflt:"top"}}},"colorbars","from-root")},{"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/cartesian/layout_attributes":813,"../../plots/font_attributes":827}],617:[function(t,e,r){"use strict";e.exports={cn:{colorbar:"colorbar",cbbg:"cbbg",cbfill:"cbfill",cbfills:"cbfills",cbline:"cbline",cblines:"cblines",cbaxis:"cbaxis",cbtitleunshift:"cbtitleunshift",cbtitle:"cbtitle",cboutline:"cboutline",crisp:"crisp",jsPlaceholder:"js-placeholder"}}},{}],618:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/plot_template"),a=t("../../plots/cartesian/tick_value_defaults"),o=t("../../plots/cartesian/tick_mark_defaults"),s=t("../../plots/cartesian/tick_label_defaults"),l=t("./attributes");e.exports=function(t,e,r){var c=i.newContainer(e,"colorbar"),u=t.colorbar||{};function h(t,e){return n.coerce(u,c,l,t,e)}var f=h("thicknessmode");h("thickness","fraction"===f?30/(r.width-r.margin.l-r.margin.r):30);var p=h("lenmode");h("len","fraction"===p?1:r.height-r.margin.t-r.margin.b),h("x"),h("xanchor"),h("xpad"),h("y"),h("yanchor"),h("ypad"),n.noneOrAll(u,c,["x","y"]),h("outlinecolor"),h("outlinewidth"),h("bordercolor"),h("borderwidth"),h("bgcolor"),a(u,c,h,"linear");var d={outerTicks:!1,font:r.font};s(u,c,h,"linear",d),o(u,c,h,"linear",d),h("title.text",r._dfltTitle.colorbar),n.coerceFont(h,"title.font",r.font),h("title.side")}},{"../../lib":750,"../../plot_api/plot_template":788,"../../plots/cartesian/tick_label_defaults":820,"../../plots/cartesian/tick_mark_defaults":821,"../../plots/cartesian/tick_value_defaults":822,"./attributes":616}],619:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../plots/cartesian/axes"),l=t("../dragelement"),c=t("../../lib"),u=t("../../lib/extend").extendFlat,h=t("../../lib/setcursor"),f=t("../drawing"),p=t("../color"),d=t("../titles"),g=t("../../lib/svg_text_utils"),m=t("../colorscale/helpers").flipScale,v=t("../../plots/cartesian/axis_defaults"),y=t("../../plots/cartesian/position_defaults"),x=t("../../plots/cartesian/layout_attributes"),b=t("../../constants/alignment"),_=b.LINE_SPACING,w=b.FROM_TL,T=b.FROM_BR,k=t("./constants").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll("g."+k.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return u(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){"function"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?m(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var h=0;h<o.length;h++){var f=o[h],p=(n=f[0].trace)._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),g=d?p:[p],v=0;v<g.length;v++){var y=(i=g[v]).container;(r=y?n[y]:n)&&r.showscale&&((e=l(r.colorbar))._id="cb"+n.uid+(d&&y?"-"+y:""),e._traceIndex=n.index,e._propPrefix=(y?y+".":"")+"colorbar.",e._meta=n._meta,c(),s.push(e))}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id="cb"+x,e._propPrefix=x+".colorbar.",e._meta=a._meta,i={min:"cmin",max:"cmax"},"heatmap"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),c(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append("g").attr("class",(function(t){return t._id})).classed(k.colorbar,!0),e.each((function(e){var r=n.select(this);c.ensureSingle(r,"rect",k.cbbg),c.ensureSingle(r,"g",k.cbfills),c.ensureSingle(r,"g",k.cblines),c.ensureSingle(r,"g",k.cbaxis,(function(t){t.classed(k.crisp,!0)})),c.ensureSingle(r,"g",k.cbtitleunshift,(function(t){t.append("g").classed(k.cbtitle,!0)})),c.ensureSingle(r,"rect",k.cboutline);var m=function(t,e,r){var o=r._fullLayout,l=o._size,h=e._fillcolor,m=e._line,b=e.title,M=b.side,A=e._zrange||n.extent(("function"==typeof h?h:m.color).domain()),S="function"==typeof m.color?m.color:function(){return m.color},E="function"==typeof h?h:function(){return h},C=e._levels,L=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],h=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<h&&o.push(n);if(e._fillgradient)s=[0];else if("function"==typeof e._fillcolor){var f=e._filllevels;if(f)for(l=f.end+f.size/100,c=f.size,i=0;i<1e5&&(n=f.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&"string"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,A),P=L.fill,I=L.line,z=Math.round(e.thickness*("fraction"===e.thicknessmode?l.w:1)),O=z/l.w,D=Math.round(e.len*("fraction"===e.lenmode?l.h:1)),R=D/l.h,F=e.xpad/l.w,B=(e.borderwidth+e.outlinewidth)/2,N=e.ypad/l.h,j=Math.round(e.x*l.w+e.xpad),U=e.x-O*({middle:.5,right:1}[e.xanchor]||0),V=e.y+R*(({top:-.5,bottom:.5}[e.yanchor]||0)-.5),q=Math.round(l.h*(1-V)),H=q-D;e._lenFrac=R,e._thickFrac=O,e._xLeftFrac=U,e._yBottomFrac=V;var G=e._axis=function(t,e,r){var n=t._fullLayout,i={type:"linear",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:"free",side:"right",position:1},a={type:"linear",_id:"y"+e._id},o={letter:"y",font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function s(t,e){return c.coerce(i,a,x,t,e)}return v(i,a,s,o,n),y(i,a,s,o),a}(r,e,A);G.position=e.x+F+O,-1!==["top","bottom"].indexOf(M)&&(G.title.side=M,G.titlex=e.x+F,G.titley=V+("top"===b.side?R-N:N));if(m.color&&"auto"===e.tickmode){G.tickmode="linear",G.tick0=C.start;var Y=C.size,W=c.constrain((q-H)/50,4,15)+1,Z=(A[1]-A[0])/((e.nticks||W)*Y);if(Z>1){var X=Math.pow(10,Math.floor(Math.log(Z)/Math.LN10));Y*=X*c.roundUp(Z/X,[2,5,10]),(Math.abs(C.start)/C.size+1e-6)%1<2e-6&&(G.tick0=0)}G.dtick=Y}G.domain=[V+N,V+R-N],G.setScale(),t.attr("transform","translate("+Math.round(l.l)+","+Math.round(l.t)+")");var J,K=t.select("."+k.cbtitleunshift).attr("transform","translate(-"+Math.round(l.l)+",-"+Math.round(l.t)+")"),Q=t.select("."+k.cbaxis),$=0;function tt(n,i){var a={propContainer:G,propName:e._propPrefix+"title",traceIndex:e._traceIndex,_meta:e._meta,placeholder:o._dfltTitle.colorbar,containerGroup:t.select("."+k.cbtitle)},s="h"===n.charAt(0)?n.substr(1):"h"+n;t.selectAll("."+s+",."+s+"-math-group").remove(),d.draw(r,n,u(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){if(-1!==["top","bottom"].indexOf(M)){var t,r=l.l+(e.x+F)*l.w,n=G.title.font.size;t="top"===M?(1-(V+R-N))*l.h+l.t+3+.75*n:(1-(V+N))*l.h+l.t-3-.25*n,tt(G._id+"title",{attributes:{x:r,y:t,"text-anchor":"start"}})}},function(){if(-1!==["top","bottom"].indexOf(M)){var a=t.select("."+k.cbtitle),o=a.select("text"),u=[-e.outlinewidth/2,e.outlinewidth/2],h=a.select(".h"+G._id+"title-math-group").node(),p=15.6;if(o.node()&&(p=parseInt(o.node().style.fontSize,10)*_),h?($=f.bBox(h).height)>p&&(u[1]-=($-p)/2):o.node()&&!o.classed(k.jsPlaceholder)&&($=f.bBox(o.node()).height),$){if($+=5,"top"===M)G.domain[1]-=$/l.h,u[1]*=-1;else{G.domain[0]+=$/l.h;var d=g.lineCount(o);u[1]+=(1-d)*p}a.attr("transform","translate("+u+")"),G.setScale()}}t.selectAll("."+k.cbfills+",."+k.cblines).attr("transform","translate(0,"+Math.round(l.h*(1-G.domain[1]))+")"),Q.attr("transform","translate(0,"+Math.round(-l.t)+")");var v=t.select("."+k.cbfills).selectAll("rect."+k.cbfill).attr("style","").data(P);v.enter().append("rect").classed(k.cbfill,!0).style("stroke","none"),v.exit().remove();var y=A.map(G.c2p).map(Math.round).sort((function(t,e){return t-e}));v.each((function(t,a){var o=[0===a?A[0]:(P[a]+P[a-1])/2,a===P.length-1?A[1]:(P[a]+P[a+1])/2].map(G.c2p).map(Math.round);o[1]=c.constrain(o[1]+(o[1]>o[0])?1:-1,y[0],y[1]);var s=n.select(this).attr({x:j,width:Math.max(z,2),y:n.min(o),height:Math.max(n.max(o)-n.min(o),2)});if(e._fillgradient)f.gradient(s,r,e._id,"vertical",e._fillgradient,"fill");else{var l=E(t).replace("e-","");s.attr("fill",i(l).toHexString())}}));var x=t.select("."+k.cblines).selectAll("path."+k.cbline).data(m.color&&m.width?I:[]);x.enter().append("path").classed(k.cbline,!0),x.exit().remove(),x.each((function(t){n.select(this).attr("d","M"+j+","+(Math.round(G.c2p(t))+m.width/2%1)+"h"+z).call(f.lineGroupStyle,m.width,S(t),m.dash)})),Q.selectAll("g."+G._id+"tick,path").remove();var b=j+z+(e.outlinewidth||0)/2-("outside"===e.ticks?1:0),w=s.calcTicks(G),T=s.makeTransFn(G),C=s.getTickSigns(G)[2];return s.drawTicks(r,G,{vals:"inside"===G.ticks?s.clipEnds(G,w):w,layer:Q,path:s.makeTickPath(G,b,C),transFn:T}),s.drawLabels(r,G,{vals:w,layer:Q,transFn:T,labelFns:s.makeLabelFns(G,b)})},function(){if(-1===["top","bottom"].indexOf(M)){var t=G.title.font.size,e=G._offset+G._length/2,i=l.l+(G.position||0)*l.w+("right"===G.side?10+t*(G.showticklabels?1:.5):-10-t*(G.showticklabels?.5:0));tt("h"+G._id+"title",{avoid:{selection:n.select(r).selectAll("g."+G._id+"tick"),side:M,offsetLeft:l.l,offsetTop:0,maxShift:o.width},attributes:{x:i,y:e,"text-anchor":"middle"},transform:{rotate:"-90",offset:0}})}},a.previousPromises,function(){var n=z+e.outlinewidth/2+f.bBox(Q.node()).width;if((J=K.select("text")).node()&&!J.classed(k.jsPlaceholder)){var i,o=K.select(".h"+G._id+"title-math-group").node();i=o&&-1!==["top","bottom"].indexOf(M)?f.bBox(o).width:f.bBox(K.node()).right-j-l.l,n=Math.max(n,i)}var s=2*e.xpad+n+e.borderwidth+e.outlinewidth/2,c=q-H;t.select("."+k.cbbg).attr({x:j-e.xpad-(e.borderwidth+e.outlinewidth)/2,y:H-B,width:Math.max(s,2),height:Math.max(c+2*B,2)}).call(p.fill,e.bgcolor).call(p.stroke,e.bordercolor).style("stroke-width",e.borderwidth),t.selectAll("."+k.cboutline).attr({x:j,y:H+e.ypad+("top"===M?$:0),width:Math.max(z,2),height:Math.max(c-2*e.ypad-$,2)}).call(p.stroke,e.outlinecolor).style({fill:"none","stroke-width":e.outlinewidth});var u=({center:.5,right:1}[e.xanchor]||0)*s;t.attr("transform","translate("+(l.l-u)+","+l.t+")");var h={},d=w[e.yanchor],g=T[e.yanchor];"pixels"===e.lenmode?(h.y=e.y,h.t=c*d,h.b=c*g):(h.t=h.b=0,h.yt=e.y+e.len*d,h.yb=e.y-e.len*g);var m=w[e.xanchor],v=T[e.xanchor];if("pixels"===e.thicknessmode)h.x=e.x,h.l=s*m,h.r=s*v;else{var y=s-z;h.l=y*m,h.r=y*v,h.xl=e.x-e.thickness*m,h.xr=e.x+e.thickness*v}a.autoMargin(r,e._id,h)}],r)}(r,e,t);m&&m.then&&(t._promises||[]).push(m),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr("transform"),h(t)},moveFn:function(r,o){t.attr("transform",n+" translate("+r+","+o+")"),i=l.align(e._xLeftFrac+r/s.w,e._thickFrac,0,1,e.xanchor),a=l.align(e._yBottomFrac-o/s.h,e._lenFrac,0,1,e.yanchor);var c=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,c)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+"x"]=i,n[e._propPrefix+"y"]=a,void 0!==e._traceIndex?o.call("_guiRestyle",r,n,e._traceIndex):o.call("_guiRelayout",r,n)}}})}(r,e,t)})),e.exit().each((function(e){a.autoMargin(t,e._id)})).remove(),e.order()}}},{"../../constants/alignment":717,"../../lib":750,"../../lib/extend":740,"../../lib/setcursor":770,"../../lib/svg_text_utils":774,"../../plots/cartesian/axes":799,"../../plots/cartesian/axis_defaults":801,"../../plots/cartesian/layout_attributes":813,"../../plots/cartesian/position_defaults":816,"../../plots/plots":862,"../../registry":882,"../color":615,"../colorscale/helpers":626,"../dragelement":634,"../drawing":637,"../titles":710,"./constants":617,d3:169,tinycolor2:548}],620:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t){return n.isPlainObject(t.colorbar)}},{"../../lib":750}],621:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"colorbar",attributes:t("./attributes"),supplyDefaults:t("./defaults"),draw:t("./draw").draw,hasColorbar:t("./has_colorbar")}},{"./attributes":616,"./defaults":618,"./draw":619,"./has_colorbar":620}],622:[function(t,e,r){"use strict";var n=t("../colorbar/attributes"),i=t("../../lib/regex").counter,a=t("./scales.js").scales;Object.keys(a);function o(t){return"`"+t+"`"}e.exports=function(t,e){t=t||"";var r,s=(e=e||{}).cLetter||"c",l=("onlyIfNumerical"in e?e.onlyIfNumerical:Boolean(t),"noScale"in e?e.noScale:"marker.line"===t),c="showScaleDflt"in e?e.showScaleDflt:"z"===s,u="string"==typeof e.colorscaleDflt?a[e.colorscaleDflt]:null,h=e.editTypeOverride||"",f=t?t+".":"";"colorAttr"in e?(r=e.colorAttr,e.colorAttr):o(f+(r={z:"z",c:"color"}[s]));var p=s+"auto",d=s+"min",g=s+"max",m=s+"mid",v=(o(f+p),o(f+d),o(f+g),{});v[d]=v[g]=void 0;var y={};y[p]=!1;var x={};return"color"===r&&(x.color={valType:"color",arrayOk:!0,editType:h||"style"},e.anim&&(x.color.anim=!0)),x[p]={valType:"boolean",dflt:!0,editType:"calc",impliedEdits:v},x[d]={valType:"number",dflt:null,editType:h||"plot",impliedEdits:y},x[g]={valType:"number",dflt:null,editType:h||"plot",impliedEdits:y},x[m]={valType:"number",dflt:null,editType:"calc",impliedEdits:v},x.colorscale={valType:"colorscale",editType:"calc",dflt:u,impliedEdits:{autocolorscale:!1}},x.autocolorscale={valType:"boolean",dflt:!1!==e.autoColorDflt,editType:"calc",impliedEdits:{colorscale:void 0}},x.reversescale={valType:"boolean",dflt:!1,editType:"plot"},l||(x.showscale={valType:"boolean",dflt:c,editType:"calc"},x.colorbar=n),e.noColorAxis||(x.coloraxis={valType:"subplotid",regex:i("coloraxis"),dflt:null,editType:"calc"}),x}},{"../../lib/regex":766,"../colorbar/attributes":616,"./scales.js":630}],623:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./helpers").extractOpts;e.exports=function(t,e,r){var o,s=t._fullLayout,l=r.vals,c=r.containerStr,u=c?i.nestedProperty(e,c).get():e,h=a(u),f=!1!==h.auto,p=h.min,d=h.max,g=h.mid,m=function(){return i.aggNums(Math.min,null,l)},v=function(){return i.aggNums(Math.max,null,l)};(void 0===p?p=m():f&&(p=u._colorAx&&n(p)?Math.min(p,m()):m()),void 0===d?d=v():f&&(d=u._colorAx&&n(d)?Math.max(d,v()):v()),f&&void 0!==g&&(d-g>g-p?p=g-(d-g):d-g<g-p&&(d=g+(g-p))),p===d&&(p-=.5,d+=.5),h._sync("min",p),h._sync("max",d),h.autocolorscale)&&(o=p*d<0?s.colorscale.diverging:p>=0?s.colorscale.sequential:s.colorscale.sequentialminus,h._sync("colorscale",o))}},{"../../lib":750,"./helpers":626,"fast-isnumeric":241}],624:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./helpers").hasColorscale,a=t("./helpers").extractOpts;e.exports=function(t,e){function r(t,e){var r=t["_"+e];void 0!==r&&(t[e]=r)}function o(t,i){var o=i.container?n.nestedProperty(t,i.container).get():t;if(o)if(o.coloraxis)o._colorAx=e[o.coloraxis];else{var s=a(o),l=s.auto;(l||void 0===s.min)&&r(o,i.min),(l||void 0===s.max)&&r(o,i.max),s.autocolorscale&&r(o,"colorscale")}}for(var s=0;s<t.length;s++){var l=t[s],c=l._module.colorbar;if(c)if(Array.isArray(c))for(var u=0;u<c.length;u++)o(l,c[u]);else o(l,c);i(l,"marker.line")&&o(l,{container:"marker.line",min:"cmin",max:"cmax"})}for(var h in e._colorAxes)o(e[h],{min:"cmin",max:"cmax"})}},{"../../lib":750,"./helpers":626}],625:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../colorbar/has_colorbar"),o=t("../colorbar/defaults"),s=t("./scales").isValid,l=t("../../registry").traceIs;function c(t,e){var r=e.slice(0,e.length-1);return e?i.nestedProperty(t,r).get()||{}:t}e.exports=function t(e,r,u,h,f){var p=f.prefix,d=f.cLetter,g="_module"in r,m=c(e,p),v=c(r,p),y=c(r._template||{},p)||{},x=function(){return delete e.coloraxis,delete r.coloraxis,t(e,r,u,h,f)};if(g){var b=u._colorAxes||{},_=h(p+"coloraxis");if(_){var w=l(r,"contour")&&i.nestedProperty(r,"contours.coloring").get()||"heatmap",T=b[_];return void(T?(T[2].push(x),T[0]!==w&&(T[0]=!1,i.warn(["Ignoring coloraxis:",_,"setting","as it is linked to incompatible colorscales."].join(" ")))):b[_]=[w,r,[x]])}}var k=m[d+"min"],M=m[d+"max"],A=n(k)&&n(M)&&k<M;h(p+d+"auto",!A)?h(p+d+"mid"):(h(p+d+"min"),h(p+d+"max"));var S,E,C=m.colorscale,L=y.colorscale;(void 0!==C&&(S=!s(C)),void 0!==L&&(S=!s(L)),h(p+"autocolorscale",S),h(p+"colorscale"),h(p+"reversescale"),"marker.line."!==p)&&(p&&g&&(E=a(m)),h(p+"showscale",E)&&(p&&y&&(v._template=y),o(m,v,u)))}},{"../../lib":750,"../../registry":882,"../colorbar/defaults":618,"../colorbar/has_colorbar":620,"./scales":630,"fast-isnumeric":241}],626:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("fast-isnumeric"),o=t("../../lib"),s=t("../color"),l=t("./scales").isValid;var c=["showscale","autocolorscale","colorscale","reversescale","colorbar"],u=["min","max","mid","auto"];function h(t){var e,r,n,i=t._colorAx,a=i||t,o={};for(r=0;r<c.length;r++)o[n=c[r]]=a[n];if(i)for(e="c",r=0;r<u.length;r++)o[n=u[r]]=a["c"+n];else{var s;for(r=0;r<u.length;r++)((s="c"+(n=u[r]))in a||(s="z"+n)in a)&&(o[n]=a[s]);e=s.charAt(0)}return o._sync=function(t,r){var n=-1!==u.indexOf(t)?e+t:t;a[n]=a["_"+n]=r},o}function f(t){for(var e=h(t),r=e.min,n=e.max,i=e.reversescale?p(e.colorscale):e.colorscale,a=i.length,o=new Array(a),s=new Array(a),l=0;l<a;l++){var c=i[l];o[l]=r+c[0]*(n-r),s[l]=c[1]}return{domain:o,range:s}}function p(t){for(var e=t.length,r=new Array(e),n=e-1,i=0;n>=0;n--,i++){var a=t[n];r[i]=[1-a[0],a[1]]}return r}function d(t,e){e=e||{};for(var r=t.domain,o=t.range,l=o.length,c=new Array(l),u=0;u<l;u++){var h=i(o[u]).toRgb();c[u]=[h.r,h.g,h.b,h.a]}var f,p=n.scale.linear().domain(r).range(c).clamp(!0),d=e.noNumericCheck,m=e.returnArray;return(f=d&&m?p:d?function(t){return g(p(t))}:m?function(t){return a(t)?p(t):i(t).isValid()?t:s.defaultLine}:function(t){return a(t)?g(p(t)):i(t).isValid()?t:s.defaultLine}).domain=p.domain,f.range=function(){return o},f}function g(t){var e={r:t[0],g:t[1],b:t[2],a:t[3]};return i(e).toRgbString()}e.exports={hasColorscale:function(t,e,r){var n=e?o.nestedProperty(t,e).get()||{}:t,i=n[r||"color"],s=!1;if(o.isArrayOrTypedArray(i))for(var c=0;c<i.length;c++)if(a(i[c])){s=!0;break}return o.isPlainObject(n)&&(s||!0===n.showscale||a(n.cmin)&&a(n.cmax)||l(n.colorscale)||o.isPlainObject(n.colorbar))},extractOpts:h,extractScale:f,flipScale:p,makeColorScaleFunc:d,makeColorScaleFuncFromTrace:function(t,e){return d(f(t),e)}}},{"../../lib":750,"../color":615,"./scales":630,d3:169,"fast-isnumeric":241,tinycolor2:548}],627:[function(t,e,r){"use strict";var n=t("./scales"),i=t("./helpers");e.exports={moduleType:"component",name:"colorscale",attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),handleDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),calc:t("./calc"),scales:n.scales,defaultScale:n.defaultScale,getScale:n.get,isValidScale:n.isValid,hasColorscale:i.hasColorscale,extractOpts:i.extractOpts,extractScale:i.extractScale,flipScale:i.flipScale,makeColorScaleFunc:i.makeColorScaleFunc,makeColorScaleFuncFromTrace:i.makeColorScaleFuncFromTrace}},{"./attributes":622,"./calc":623,"./cross_trace_defaults":624,"./defaults":625,"./helpers":626,"./layout_attributes":628,"./layout_defaults":629,"./scales":630}],628:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("./attributes"),a=t("./scales").scales;e.exports={editType:"calc",colorscale:{editType:"calc",sequential:{valType:"colorscale",dflt:a.Reds,editType:"calc"},sequentialminus:{valType:"colorscale",dflt:a.Blues,editType:"calc"},diverging:{valType:"colorscale",dflt:a.RdBu,editType:"calc"}},coloraxis:n({_isSubplotObj:!0,editType:"calc"},i("",{colorAttr:"corresponding trace color array(s)",noColorAxis:!0,showScaleDflt:!0}))}},{"../../lib/extend":740,"./attributes":622,"./scales":630}],629:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/plot_template"),a=t("./layout_attributes"),o=t("./defaults");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r("colorscale.sequential"),r("colorscale.sequentialminus"),r("colorscale.diverging");var s,l,c=e._colorAxes;function u(t,e){return n.coerce(s,l,a.coloraxis,t,e)}for(var h in c){var f=c[h];if(f[0])s=t[h]||{},(l=i.newContainer(e,h,"coloraxis"))._name=h,o(s,l,e,u,{prefix:"",cLetter:"c"});else{for(var p=0;p<f[2].length;p++)f[2][p]();delete e._colorAxes[h]}}}},{"../../lib":750,"../../plot_api/plot_template":788,"./defaults":625,"./layout_attributes":628}],630:[function(t,e,r){"use strict";var n=t("tinycolor2"),i={Greys:[[0,"rgb(0,0,0)"],[1,"rgb(255,255,255)"]],YlGnBu:[[0,"rgb(8,29,88)"],[.125,"rgb(37,52,148)"],[.25,"rgb(34,94,168)"],[.375,"rgb(29,145,192)"],[.5,"rgb(65,182,196)"],[.625,"rgb(127,205,187)"],[.75,"rgb(199,233,180)"],[.875,"rgb(237,248,217)"],[1,"rgb(255,255,217)"]],Greens:[[0,"rgb(0,68,27)"],[.125,"rgb(0,109,44)"],[.25,"rgb(35,139,69)"],[.375,"rgb(65,171,93)"],[.5,"rgb(116,196,118)"],[.625,"rgb(161,217,155)"],[.75,"rgb(199,233,192)"],[.875,"rgb(229,245,224)"],[1,"rgb(247,252,245)"]],YlOrRd:[[0,"rgb(128,0,38)"],[.125,"rgb(189,0,38)"],[.25,"rgb(227,26,28)"],[.375,"rgb(252,78,42)"],[.5,"rgb(253,141,60)"],[.625,"rgb(254,178,76)"],[.75,"rgb(254,217,118)"],[.875,"rgb(255,237,160)"],[1,"rgb(255,255,204)"]],Bluered:[[0,"rgb(0,0,255)"],[1,"rgb(255,0,0)"]],RdBu:[[0,"rgb(5,10,172)"],[.35,"rgb(106,137,247)"],[.5,"rgb(190,190,190)"],[.6,"rgb(220,170,132)"],[.7,"rgb(230,145,90)"],[1,"rgb(178,10,28)"]],Reds:[[0,"rgb(220,220,220)"],[.2,"rgb(245,195,157)"],[.4,"rgb(245,160,105)"],[1,"rgb(178,10,28)"]],Blues:[[0,"rgb(5,10,172)"],[.35,"rgb(40,60,190)"],[.5,"rgb(70,100,245)"],[.6,"rgb(90,120,245)"],[.7,"rgb(106,137,247)"],[1,"rgb(220,220,220)"]],Picnic:[[0,"rgb(0,0,255)"],[.1,"rgb(51,153,255)"],[.2,"rgb(102,204,255)"],[.3,"rgb(153,204,255)"],[.4,"rgb(204,204,255)"],[.5,"rgb(255,255,255)"],[.6,"rgb(255,204,255)"],[.7,"rgb(255,153,255)"],[.8,"rgb(255,102,204)"],[.9,"rgb(255,102,102)"],[1,"rgb(255,0,0)"]],Rainbow:[[0,"rgb(150,0,90)"],[.125,"rgb(0,0,200)"],[.25,"rgb(0,25,255)"],[.375,"rgb(0,152,255)"],[.5,"rgb(44,255,150)"],[.625,"rgb(151,255,0)"],[.75,"rgb(255,234,0)"],[.875,"rgb(255,111,0)"],[1,"rgb(255,0,0)"]],Portland:[[0,"rgb(12,51,131)"],[.25,"rgb(10,136,186)"],[.5,"rgb(242,211,56)"],[.75,"rgb(242,143,56)"],[1,"rgb(217,30,30)"]],Jet:[[0,"rgb(0,0,131)"],[.125,"rgb(0,60,170)"],[.375,"rgb(5,255,255)"],[.625,"rgb(255,255,0)"],[.875,"rgb(250,0,0)"],[1,"rgb(128,0,0)"]],Hot:[[0,"rgb(0,0,0)"],[.3,"rgb(230,0,0)"],[.6,"rgb(255,210,0)"],[1,"rgb(255,255,255)"]],Blackbody:[[0,"rgb(0,0,0)"],[.2,"rgb(230,0,0)"],[.4,"rgb(230,210,0)"],[.7,"rgb(255,255,255)"],[1,"rgb(160,200,255)"]],Earth:[[0,"rgb(0,0,130)"],[.1,"rgb(0,180,180)"],[.2,"rgb(40,210,40)"],[.4,"rgb(230,230,50)"],[.6,"rgb(120,70,20)"],[1,"rgb(255,255,255)"]],Electric:[[0,"rgb(0,0,0)"],[.15,"rgb(30,0,100)"],[.4,"rgb(120,0,100)"],[.6,"rgb(160,90,0)"],[.8,"rgb(230,200,0)"],[1,"rgb(255,250,220)"]],Viridis:[[0,"#440154"],[.06274509803921569,"#48186a"],[.12549019607843137,"#472d7b"],[.18823529411764706,"#424086"],[.25098039215686274,"#3b528b"],[.3137254901960784,"#33638d"],[.3764705882352941,"#2c728e"],[.4392156862745098,"#26828e"],[.5019607843137255,"#21918c"],[.5647058823529412,"#1fa088"],[.6274509803921569,"#28ae80"],[.6901960784313725,"#3fbc73"],[.7529411764705882,"#5ec962"],[.8156862745098039,"#84d44b"],[.8784313725490196,"#addc30"],[.9411764705882353,"#d8e219"],[1,"#fde725"]],Cividis:[[0,"rgb(0,32,76)"],[.058824,"rgb(0,42,102)"],[.117647,"rgb(0,52,110)"],[.176471,"rgb(39,63,108)"],[.235294,"rgb(60,74,107)"],[.294118,"rgb(76,85,107)"],[.352941,"rgb(91,95,109)"],[.411765,"rgb(104,106,112)"],[.470588,"rgb(117,117,117)"],[.529412,"rgb(131,129,120)"],[.588235,"rgb(146,140,120)"],[.647059,"rgb(161,152,118)"],[.705882,"rgb(176,165,114)"],[.764706,"rgb(192,177,109)"],[.823529,"rgb(209,191,102)"],[.882353,"rgb(225,204,92)"],[.941176,"rgb(243,219,79)"],[1,"rgb(255,233,69)"]]},a=i.RdBu;function o(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var i=t[r];if(2!==i.length||+i[0]<e||!n(i[1]).isValid())return!1;e=+i[0]}return!0}e.exports={scales:i,defaultScale:a,get:function(t,e){if(e||(e=a),!t)return e;function r(){try{t=i[t]||JSON.parse(t)}catch(r){t=e}}return"string"==typeof t&&(r(),"string"==typeof t&&r()),o(t)?t:e},isValid:function(t){return void 0!==i[t]||o(t)}}},{tinycolor2:548}],631:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=(t-r)/(n-r),o=a+e/(n-r),s=(a+o)/2;return"left"===i||"bottom"===i?a:"center"===i||"middle"===i?s:"right"===i||"top"===i?o:a<2/3-s?a:o>4/3-s?o:s}},{}],632:[function(t,e,r){"use strict";var n=t("../../lib"),i=[["sw-resize","s-resize","se-resize"],["w-resize","move","e-resize"],["nw-resize","n-resize","ne-resize"]];e.exports=function(t,e,r,a){return t="left"===r?0:"center"===r?1:"right"===r?2:n.constrain(Math.floor(3*t),0,2),e="bottom"===a?0:"middle"===a?1:"top"===a?2:n.constrain(Math.floor(3*e),0,2),i[e][t]}},{"../../lib":750}],633:[function(t,e,r){"use strict";r.selectMode=function(t){return"lasso"===t||"select"===t},r.drawMode=function(t){return"drawclosedpath"===t||"drawopenpath"===t||"drawline"===t||"drawrect"===t||"drawcircle"===t},r.openMode=function(t){return"drawline"===t||"drawopenpath"===t},r.rectMode=function(t){return"select"===t||"drawline"===t||"drawrect"===t||"drawcircle"===t},r.freeMode=function(t){return"lasso"===t||"drawclosedpath"===t||"drawopenpath"===t},r.selectingOrDrawing=function(t){return r.freeMode(t)||r.rectMode(t)}},{}],634:[function(t,e,r){"use strict";var n=t("mouse-event-offset"),i=t("has-hover"),a=t("has-passive-events"),o=t("../../lib").removeElement,s=t("../../plots/cartesian/constants"),l=e.exports={};l.align=t("./align"),l.getCursor=t("./cursor");var c=t("./unhover");function u(){var t=document.createElement("div");t.className="dragcover";var e=t.style;return e.position="fixed",e.left=0,e.right=0,e.top=0,e.bottom=0,e.zIndex=999999999,e.background="none",document.body.appendChild(t),t}function h(t){return n(t.changedTouches?t.changedTouches[0]:t,document.body)}l.unhover=c.wrapped,l.unhoverRaw=c.raw,l.init=function(t){var e,r,n,c,f,p,d,g,m=t.gd,v=1,y=m._context.doubleClickDelay,x=t.element;m._mouseDownTime||(m._mouseDownTime=0),x.style.pointerEvents="all",x.onmousedown=_,a?(x._ontouchstart&&x.removeEventListener("touchstart",x._ontouchstart),x._ontouchstart=_,x.addEventListener("touchstart",_,{passive:!1})):x.ontouchstart=_;var b=t.clampFn||function(t,e,r){return Math.abs(t)<r&&(t=0),Math.abs(e)<r&&(e=0),[t,e]};function _(a){m._dragged=!1,m._dragging=!0;var o=h(a);e=o[0],r=o[1],d=a.target,p=a,g=2===a.buttons||a.ctrlKey,"undefined"==typeof a.clientX&&"undefined"==typeof a.clientY&&(a.clientX=e,a.clientY=r),(n=(new Date).getTime())-m._mouseDownTime<y?v+=1:(v=1,m._mouseDownTime=n),t.prepFn&&t.prepFn(a,e,r),i&&!g?(f=u()).style.cursor=window.getComputedStyle(x).cursor:i||(f=document,c=window.getComputedStyle(document.documentElement).cursor,document.documentElement.style.cursor=window.getComputedStyle(x).cursor),document.addEventListener("mouseup",T),document.addEventListener("touchend",T),!1!==t.dragmode&&(a.preventDefault(),document.addEventListener("mousemove",w),document.addEventListener("touchmove",w,{passive:!1}))}function w(n){n.preventDefault();var i=h(n),a=t.minDrag||s.MINDRAG,o=b(i[0]-e,i[1]-r,a),c=o[0],u=o[1];(c||u)&&(m._dragged=!0,l.unhover(m)),m._dragged&&t.moveFn&&!g&&(m._dragdata={element:x,dx:c,dy:u},t.moveFn(c,u))}function T(e){if(delete m._dragdata,!1!==t.dragmode&&(e.preventDefault(),document.removeEventListener("mousemove",w),document.removeEventListener("touchmove",w)),document.removeEventListener("mouseup",T),document.removeEventListener("touchend",T),i?o(f):c&&(f.documentElement.style.cursor=c,c=null),m._dragging){if(m._dragging=!1,(new Date).getTime()-m._mouseDownTime>y&&(v=Math.max(v-1,1)),m._dragged)t.doneFn&&t.doneFn();else if(t.clickFn&&t.clickFn(v,p),!g){var r;try{r=new MouseEvent("click",e)}catch(t){var n=h(e);(r=document.createEvent("MouseEvents")).initMouseEvent("click",e.bubbles,e.cancelable,e.view,e.detail,e.screenX,e.screenY,n[0],n[1],e.ctrlKey,e.altKey,e.shiftKey,e.metaKey,e.button,e.relatedTarget)}d.dispatchEvent(r)}m._dragging=!1,m._dragged=!1}else m._dragged=!1}},l.coverSlip=u},{"../../lib":750,"../../plots/cartesian/constants":805,"./align":631,"./cursor":632,"./unhover":635,"has-hover":414,"has-passive-events":415,"mouse-event-offset":458}],635:[function(t,e,r){"use strict";var n=t("../../lib/events"),i=t("../../lib/throttle"),a=t("../../lib/dom").getGraphDiv,o=t("../fx/constants"),s=e.exports={};s.wrapped=function(t,e,r){(t=a(t))._fullLayout&&i.clear(t._fullLayout._uid+o.HOVERID),s.raw(t,e,r)},s.raw=function(t,e){var r=t._fullLayout,i=t._hoverdata;e||(e={}),e.target&&!1===n.triggerHandler(t,"plotly_beforehover",e)||(r._hoverlayer.selectAll("g").remove(),r._hoverlayer.selectAll("line").remove(),r._hoverlayer.selectAll("circle").remove(),t._hoverdata=void 0,e.target&&i&&t.emit("plotly_unhover",{event:e,points:i}))}},{"../../lib/dom":738,"../../lib/events":739,"../../lib/throttle":775,"../fx/constants":649}],636:[function(t,e,r){"use strict";r.dash={valType:"string",values:["solid","dot","dash","longdash","dashdot","longdashdot"],dflt:"solid",editType:"style"}},{}],637:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("tinycolor2"),o=t("../../registry"),s=t("../color"),l=t("../colorscale"),c=t("../../lib"),u=t("../../lib/svg_text_utils"),h=t("../../constants/xmlns_namespaces"),f=t("../../constants/alignment").LINE_SPACING,p=t("../../constants/interactions").DESELECTDIM,d=t("../../traces/scatter/subtypes"),g=t("../../traces/scatter/make_bubble_size_func"),m=t("../../components/fx/helpers").appendArrayPointValue,v=e.exports={};v.font=function(t,e,r,n){c.isPlainObject(e)&&(n=e.color,r=e.size,e=e.family),e&&t.style("font-family",e),r+1&&t.style("font-size",r+"px"),n&&t.call(s.fill,n)},v.setPosition=function(t,e,r){t.attr("x",e).attr("y",r)},v.setSize=function(t,e,r){t.attr("width",e).attr("height",r)},v.setRect=function(t,e,r,n,i){t.call(v.setPosition,e,r).call(v.setSize,n,i)},v.translatePoint=function(t,e,r,n){var a=r.c2p(t.x),o=n.c2p(t.y);return!!(i(a)&&i(o)&&e.node())&&("text"===e.node().nodeName?e.attr("x",a).attr("y",o):e.attr("transform","translate("+a+","+o+")"),!0)},v.translatePoints=function(t,e,r){t.each((function(t){var i=n.select(this);v.translatePoint(t,i,e,r)}))},v.hideOutsideRangePoint=function(t,e,r,n,i,a){e.attr("display",r.isPtWithinRange(t,i)&&n.isPtWithinRange(t,a)?null:"none")},v.hideOutsideRangePoints=function(t,e){if(e._hasClipOnAxisFalse){var r=e.xaxis,i=e.yaxis;t.each((function(e){var a=e[0].trace,s=a.xcalendar,l=a.ycalendar,c=o.traceIs(a,"bar-like")?".bartext":".point,.textpoint";t.selectAll(c).each((function(t){v.hideOutsideRangePoint(t,n.select(this),r,i,s,l)}))}))}},v.crispRound=function(t,e,r){return e&&i(e)?t._context.staticPlot?e:e<1?1:Math.round(e):r||0},v.singleLineStyle=function(t,e,r,n,i){e.style("fill","none");var a=(((t||[])[0]||{}).trace||{}).line||{},o=r||a.width||0,l=i||a.dash||"";s.stroke(e,n||a.color),v.dashLine(e,l,o)},v.lineGroupStyle=function(t,e,r,i){t.style("fill","none").each((function(t){var a=(((t||[])[0]||{}).trace||{}).line||{},o=e||a.width||0,l=i||a.dash||"";n.select(this).call(s.stroke,r||a.color).call(v.dashLine,l,o)}))},v.dashLine=function(t,e,r){r=+r||0,e=v.dashStyle(e,r),t.style({"stroke-dasharray":e,"stroke-width":r+"px"})},v.dashStyle=function(t,e){e=+e||1;var r=Math.max(e,3);return"solid"===t?t="":"dot"===t?t=r+"px,"+r+"px":"dash"===t?t=3*r+"px,"+3*r+"px":"longdash"===t?t=5*r+"px,"+5*r+"px":"dashdot"===t?t=3*r+"px,"+r+"px,"+r+"px,"+r+"px":"longdashdot"===t&&(t=5*r+"px,"+2*r+"px,"+r+"px,"+2*r+"px"),t},v.singleFillStyle=function(t){var e=(((n.select(t.node()).data()[0]||[])[0]||{}).trace||{}).fillcolor;e&&t.call(s.fill,e)},v.fillGroupStyle=function(t){t.style("stroke-width",0).each((function(t){var e=n.select(this);t[0].trace&&e.call(s.fill,t[0].trace.fillcolor)}))};var y=t("./symbol_defs");v.symbolNames=[],v.symbolFuncs=[],v.symbolNeedLines={},v.symbolNoDot={},v.symbolNoFill={},v.symbolList=[],Object.keys(y).forEach((function(t){var e=y[t],r=e.n;v.symbolList.push(r,String(r),t,r+100,String(r+100),t+"-open"),v.symbolNames[r]=t,v.symbolFuncs[r]=e.f,e.needLine&&(v.symbolNeedLines[r]=!0),e.noDot?v.symbolNoDot[r]=!0:v.symbolList.push(r+200,String(r+200),t+"-dot",r+300,String(r+300),t+"-open-dot"),e.noFill&&(v.symbolNoFill[r]=!0)}));var x=v.symbolNames.length;function b(t,e){var r=t%100;return v.symbolFuncs[r](e)+(t>=200?"M0,0.5L0.5,0L0,-0.5L-0.5,0Z":"")}v.symbolNumber=function(t){if(i(t))t=+t;else if("string"==typeof t){var e=0;t.indexOf("-open")>0&&(e=100,t=t.replace("-open","")),t.indexOf("-dot")>0&&(e+=200,t=t.replace("-dot","")),(t=v.symbolNames.indexOf(t))>=0&&(t+=e)}return t%100>=x||t>=400?0:Math.floor(Math.max(t,0))};var _={x1:1,x2:0,y1:0,y2:0},w={x1:0,x2:0,y1:1,y2:0},T=n.format("~.1f"),k={radial:{node:"radialGradient"},radialreversed:{node:"radialGradient",reversed:!0},horizontal:{node:"linearGradient",attrs:_},horizontalreversed:{node:"linearGradient",attrs:_,reversed:!0},vertical:{node:"linearGradient",attrs:w},verticalreversed:{node:"linearGradient",attrs:w,reversed:!0}};v.gradient=function(t,e,r,i,o,l){for(var u=o.length,h=k[i],f=new Array(u),p=0;p<u;p++)h.reversed?f[u-1-p]=[T(100*(1-o[p][0])),o[p][1]]:f[p]=[T(100*o[p][0]),o[p][1]];var d=e._fullLayout,g="g"+d._uid+"-"+r,m=d._defs.select(".gradients").selectAll("#"+g).data([i+f.join(";")],c.identity);m.exit().remove(),m.enter().append(h.node).each((function(){var t=n.select(this);h.attrs&&t.attr(h.attrs),t.attr("id",g);var e=t.selectAll("stop").data(f);e.exit().remove(),e.enter().append("stop"),e.each((function(t){var e=a(t[1]);n.select(this).attr({offset:t[0]+"%","stop-color":s.tinyRGB(e),"stop-opacity":e.getAlpha()})}))})),t.style(l,z(g,e)).style(l+"-opacity",null);var v=function(t){return"."+t.attr("class").replace(/\s/g,".")},y=v(n.select(t.node().parentNode))+">"+v(t);d._gradientUrlQueryParts[y]=1},v.initGradients=function(t){var e=t._fullLayout;c.ensureSingle(e._defs,"g","gradients").selectAll("linearGradient,radialGradient").remove(),e._gradientUrlQueryParts={}},v.pointStyle=function(t,e,r){if(t.size()){var i=v.makePointStyleFns(e);t.each((function(t){v.singlePointStyle(t,n.select(this),e,i,r)}))}},v.singlePointStyle=function(t,e,r,n,i){var a=r.marker,o=a.line;if(e.style("opacity",n.selectedOpacityFn?n.selectedOpacityFn(t):void 0===t.mo?a.opacity:t.mo),n.ms2mrc){var l;l="various"===t.ms||"various"===a.size?3:n.ms2mrc(t.ms),t.mrc=l,n.selectedSizeFn&&(l=t.mrc=n.selectedSizeFn(t));var u=v.symbolNumber(t.mx||a.symbol)||0;t.om=u%200>=100,e.attr("d",b(u,l))}var h,f,p,d=!1;if(t.so)p=o.outlierwidth,f=o.outliercolor,h=a.outliercolor;else{var g=(o||{}).width;p=(t.mlw+1||g+1||(t.trace?(t.trace.marker.line||{}).width:0)+1)-1||0,f="mlc"in t?t.mlcc=n.lineScale(t.mlc):c.isArrayOrTypedArray(o.color)?s.defaultLine:o.color,c.isArrayOrTypedArray(a.color)&&(h=s.defaultLine,d=!0),h="mc"in t?t.mcc=n.markerScale(t.mc):a.color||"rgba(0,0,0,0)",n.selectedColorFn&&(h=n.selectedColorFn(t))}if(t.om)e.call(s.stroke,h).style({"stroke-width":(p||1)+"px",fill:"none"});else{e.style("stroke-width",(t.isBlank?0:p)+"px");var m=a.gradient,y=t.mgt;if(y?d=!0:y=m&&m.type,Array.isArray(y)&&(y=y[0],k[y]||(y=0)),y&&"none"!==y){var x=t.mgc;x?d=!0:x=m.color;var _=r.uid;d&&(_+="-"+t.i),v.gradient(e,i,_,y,[[0,x],[1,h]],"fill")}else s.fill(e,h);p&&s.stroke(e,f)}},v.makePointStyleFns=function(t){var e={},r=t.marker;return e.markerScale=v.tryColorscale(r,""),e.lineScale=v.tryColorscale(r,"line"),o.traceIs(t,"symbols")&&(e.ms2mrc=d.isBubble(t)?g(t):function(){return(r.size||6)/2}),t.selectedpoints&&c.extendFlat(e,v.makeSelectedPointStyleFns(t)),e},v.makeSelectedPointStyleFns=function(t){var e={},r=t.selected||{},n=t.unselected||{},i=t.marker||{},a=r.marker||{},s=n.marker||{},l=i.opacity,u=a.opacity,h=s.opacity,f=void 0!==u,d=void 0!==h;(c.isArrayOrTypedArray(l)||f||d)&&(e.selectedOpacityFn=function(t){var e=void 0===t.mo?i.opacity:t.mo;return t.selected?f?u:e:d?h:p*e});var g=i.color,m=a.color,v=s.color;(m||v)&&(e.selectedColorFn=function(t){var e=t.mcc||g;return t.selected?m||e:v||e});var y=i.size,x=a.size,b=s.size,_=void 0!==x,w=void 0!==b;return o.traceIs(t,"symbols")&&(_||w)&&(e.selectedSizeFn=function(t){var e=t.mrc||y/2;return t.selected?_?x/2:e:w?b/2:e}),e},v.makeSelectedTextStyleFns=function(t){var e={},r=t.selected||{},n=t.unselected||{},i=t.textfont||{},a=r.textfont||{},o=n.textfont||{},l=i.color,c=a.color,u=o.color;return e.selectedTextColorFn=function(t){var e=t.tc||l;return t.selected?c||e:u||(c?e:s.addOpacity(e,p))},e},v.selectedPointStyle=function(t,e){if(t.size()&&e.selectedpoints){var r=v.makeSelectedPointStyleFns(e),i=e.marker||{},a=[];r.selectedOpacityFn&&a.push((function(t,e){t.style("opacity",r.selectedOpacityFn(e))})),r.selectedColorFn&&a.push((function(t,e){s.fill(t,r.selectedColorFn(e))})),r.selectedSizeFn&&a.push((function(t,e){var n=e.mx||i.symbol||0,a=r.selectedSizeFn(e);t.attr("d",b(v.symbolNumber(n),a)),e.mrc2=a})),a.length&&t.each((function(t){for(var e=n.select(this),r=0;r<a.length;r++)a[r](e,t)}))}},v.tryColorscale=function(t,e){var r=e?c.nestedProperty(t,e).get():t;if(r){var n=r.color;if((r.colorscale||r._colorAx)&&c.isArrayOrTypedArray(n))return l.makeColorScaleFuncFromTrace(r)}return c.identity};var M={start:1,end:-1,middle:0,bottom:1,top:-1};function A(t,e,r,i){var a=n.select(t.node().parentNode),o=-1!==e.indexOf("top")?"top":-1!==e.indexOf("bottom")?"bottom":"middle",s=-1!==e.indexOf("left")?"end":-1!==e.indexOf("right")?"start":"middle",l=i?i/.8+1:0,c=(u.lineCount(t)-1)*f+1,h=M[s]*l,p=.75*r+M[o]*l+(M[o]-1)*c*r/2;t.attr("text-anchor",s),a.attr("transform","translate("+h+","+p+")")}function S(t,e){var r=t.ts||e.textfont.size;return i(r)&&r>0?r:0}v.textPointStyle=function(t,e,r){if(t.size()){var i;if(e.selectedpoints){var a=v.makeSelectedTextStyleFns(e);i=a.selectedTextColorFn}var o=e.texttemplate,s=r._fullLayout;t.each((function(t){var a=n.select(this),l=o?c.extractOption(t,e,"txt","texttemplate"):c.extractOption(t,e,"tx","text");if(l||0===l){if(o){var h=e._module.formatLabels?e._module.formatLabels(t,e,s):{},f={};m(f,e,t.i);var p=e._meta||{};l=c.texttemplateString(l,h,s._d3locale,f,t,p)}var d=t.tp||e.textposition,g=S(t,e),y=i?i(t):t.tc||e.textfont.color;a.call(v.font,t.tf||e.textfont.family,g,y).text(l).call(u.convertToTspans,r).call(A,d,g,t.mrc)}else a.remove()}))}},v.selectedTextStyle=function(t,e){if(t.size()&&e.selectedpoints){var r=v.makeSelectedTextStyleFns(e);t.each((function(t){var i=n.select(this),a=r.selectedTextColorFn(t),o=t.tp||e.textposition,l=S(t,e);s.fill(i,a),A(i,o,l,t.mrc2||t.mrc)}))}};function E(t,e,r,i){var a=t[0]-e[0],o=t[1]-e[1],s=r[0]-e[0],l=r[1]-e[1],c=Math.pow(a*a+o*o,.25),u=Math.pow(s*s+l*l,.25),h=(u*u*a-c*c*s)*i,f=(u*u*o-c*c*l)*i,p=3*u*(c+u),d=3*c*(c+u);return[[n.round(e[0]+(p&&h/p),2),n.round(e[1]+(p&&f/p),2)],[n.round(e[0]-(d&&h/d),2),n.round(e[1]-(d&&f/d),2)]]}v.smoothopen=function(t,e){if(t.length<3)return"M"+t.join("L");var r,n="M"+t[0],i=[];for(r=1;r<t.length-1;r++)i.push(E(t[r-1],t[r],t[r+1],e));for(n+="Q"+i[0][0]+" "+t[1],r=2;r<t.length-1;r++)n+="C"+i[r-2][1]+" "+i[r-1][0]+" "+t[r];return n+="Q"+i[t.length-3][1]+" "+t[t.length-1]},v.smoothclosed=function(t,e){if(t.length<3)return"M"+t.join("L")+"Z";var r,n="M"+t[0],i=t.length-1,a=[E(t[i],t[0],t[1],e)];for(r=1;r<i;r++)a.push(E(t[r-1],t[r],t[r+1],e));for(a.push(E(t[i-1],t[i],t[0],e)),r=1;r<=i;r++)n+="C"+a[r-1][1]+" "+a[r][0]+" "+t[r];return n+="C"+a[i][1]+" "+a[0][0]+" "+t[0]+"Z"};var C={hv:function(t,e){return"H"+n.round(e[0],2)+"V"+n.round(e[1],2)},vh:function(t,e){return"V"+n.round(e[1],2)+"H"+n.round(e[0],2)},hvh:function(t,e){return"H"+n.round((t[0]+e[0])/2,2)+"V"+n.round(e[1],2)+"H"+n.round(e[0],2)},vhv:function(t,e){return"V"+n.round((t[1]+e[1])/2,2)+"H"+n.round(e[0],2)+"V"+n.round(e[1],2)}},L=function(t,e){return"L"+n.round(e[0],2)+","+n.round(e[1],2)};v.steps=function(t){var e=C[t]||L;return function(t){for(var r="M"+n.round(t[0][0],2)+","+n.round(t[0][1],2),i=1;i<t.length;i++)r+=e(t[i-1],t[i]);return r}},v.makeTester=function(){var t=c.ensureSingleById(n.select("body"),"svg","js-plotly-tester",(function(t){t.attr(h.svgAttrs).style({position:"absolute",left:"-10000px",top:"-10000px",width:"9000px",height:"9000px","z-index":"1"})})),e=c.ensureSingle(t,"path","js-reference-point",(function(t){t.attr("d","M0,0H1V1H0Z").style({"stroke-width":0,fill:"black"})}));v.tester=t,v.testref=e},v.savedBBoxes={};var P=0;function I(t){var e=t.getAttribute("data-unformatted");if(null!==e)return e+t.getAttribute("data-math")+t.getAttribute("text-anchor")+t.getAttribute("style")}function z(t,e){if(!t)return null;var r=e._context;return"url('"+(r._exportedPlot?"":r._baseUrl||"")+"#"+t+"')"}v.bBox=function(t,e,r){var i,a,o;if(r||(r=I(t)),r){if(i=v.savedBBoxes[r])return c.extendFlat({},i)}else if(1===t.childNodes.length){var s=t.childNodes[0];if(r=I(s)){var l=+s.getAttribute("x")||0,h=+s.getAttribute("y")||0,f=s.getAttribute("transform");if(!f){var p=v.bBox(s,!1,r);return l&&(p.left+=l,p.right+=l),h&&(p.top+=h,p.bottom+=h),p}if(r+="~"+l+"~"+h+"~"+f,i=v.savedBBoxes[r])return c.extendFlat({},i)}}e?a=t:(o=v.tester.node(),a=t.cloneNode(!0),o.appendChild(a)),n.select(a).attr("transform",null).call(u.positionText,0,0);var d=a.getBoundingClientRect(),g=v.testref.node().getBoundingClientRect();e||o.removeChild(a);var m={height:d.height,width:d.width,left:d.left-g.left,top:d.top-g.top,right:d.right-g.left,bottom:d.bottom-g.top};return P>=1e4&&(v.savedBBoxes={},P=0),r&&(v.savedBBoxes[r]=m),P++,c.extendFlat({},m)},v.setClipUrl=function(t,e,r){t.attr("clip-path",z(e,r))},v.getTranslate=function(t){var e=(t[t.attr?"attr":"getAttribute"]("transform")||"").replace(/.*\btranslate\((-?\d*\.?\d*)[^-\d]*(-?\d*\.?\d*)[^\d].*/,(function(t,e,r){return[e,r].join(" ")})).split(" ");return{x:+e[0]||0,y:+e[1]||0}},v.setTranslate=function(t,e,r){var n=t.attr?"attr":"getAttribute",i=t.attr?"attr":"setAttribute",a=t[n]("transform")||"";return e=e||0,r=r||0,a=a.replace(/(\btranslate\(.*?\);?)/,"").trim(),a=(a+=" translate("+e+", "+r+")").trim(),t[i]("transform",a),a},v.getScale=function(t){var e=(t[t.attr?"attr":"getAttribute"]("transform")||"").replace(/.*\bscale\((\d*\.?\d*)[^\d]*(\d*\.?\d*)[^\d].*/,(function(t,e,r){return[e,r].join(" ")})).split(" ");return{x:+e[0]||1,y:+e[1]||1}},v.setScale=function(t,e,r){var n=t.attr?"attr":"getAttribute",i=t.attr?"attr":"setAttribute",a=t[n]("transform")||"";return e=e||1,r=r||1,a=a.replace(/(\bscale\(.*?\);?)/,"").trim(),a=(a+=" scale("+e+", "+r+")").trim(),t[i]("transform",a),a};var O=/\s*sc.*/;v.setPointGroupScale=function(t,e,r){if(e=e||1,r=r||1,t){var n=1===e&&1===r?"":" scale("+e+","+r+")";t.each((function(){var t=(this.getAttribute("transform")||"").replace(O,"");t=(t+=n).trim(),this.setAttribute("transform",t)}))}};var D=/translate\([^)]*\)\s*$/;v.setTextPointsScale=function(t,e,r){t&&t.each((function(){var t,i=n.select(this),a=i.select("text");if(a.node()){var o=parseFloat(a.attr("x")||0),s=parseFloat(a.attr("y")||0),l=(i.attr("transform")||"").match(D);t=1===e&&1===r?[]:["translate("+o+","+s+")","scale("+e+","+r+")","translate("+-o+","+-s+")"],l&&t.push(l),i.attr("transform",t.join(" "))}}))}},{"../../components/fx/helpers":651,"../../constants/alignment":717,"../../constants/interactions":724,"../../constants/xmlns_namespaces":726,"../../lib":750,"../../lib/svg_text_utils":774,"../../registry":882,"../../traces/scatter/make_bubble_size_func":1175,"../../traces/scatter/subtypes":1183,"../color":615,"../colorscale":627,"./symbol_defs":638,d3:169,"fast-isnumeric":241,tinycolor2:548}],638:[function(t,e,r){"use strict";var n=t("d3");e.exports={circle:{n:0,f:function(t){var e=n.round(t,2);return"M"+e+",0A"+e+","+e+" 0 1,1 0,-"+e+"A"+e+","+e+" 0 0,1 "+e+",0Z"}},square:{n:1,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"H-"+e+"V-"+e+"H"+e+"Z"}},diamond:{n:2,f:function(t){var e=n.round(1.3*t,2);return"M"+e+",0L0,"+e+"L-"+e+",0L0,-"+e+"Z"}},cross:{n:3,f:function(t){var e=n.round(.4*t,2),r=n.round(1.2*t,2);return"M"+r+","+e+"H"+e+"V"+r+"H-"+e+"V"+e+"H-"+r+"V-"+e+"H-"+e+"V-"+r+"H"+e+"V-"+e+"H"+r+"Z"}},x:{n:4,f:function(t){var e=n.round(.8*t/Math.sqrt(2),2),r="l"+e+","+e,i="l"+e+",-"+e,a="l-"+e+",-"+e,o="l-"+e+","+e;return"M0,"+e+r+i+a+i+a+o+a+o+r+o+r+"Z"}},"triangle-up":{n:5,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M-"+e+","+n.round(t/2,2)+"H"+e+"L0,-"+n.round(t,2)+"Z"}},"triangle-down":{n:6,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M-"+e+",-"+n.round(t/2,2)+"H"+e+"L0,"+n.round(t,2)+"Z"}},"triangle-left":{n:7,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M"+n.round(t/2,2)+",-"+e+"V"+e+"L-"+n.round(t,2)+",0Z"}},"triangle-right":{n:8,f:function(t){var e=n.round(2*t/Math.sqrt(3),2);return"M-"+n.round(t/2,2)+",-"+e+"V"+e+"L"+n.round(t,2)+",0Z"}},"triangle-ne":{n:9,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M-"+r+",-"+e+"H"+e+"V"+r+"Z"}},"triangle-se":{n:10,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M"+e+",-"+r+"V"+e+"H-"+r+"Z"}},"triangle-sw":{n:11,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M"+r+","+e+"H-"+e+"V-"+r+"Z"}},"triangle-nw":{n:12,f:function(t){var e=n.round(.6*t,2),r=n.round(1.2*t,2);return"M-"+e+","+r+"V-"+e+"H"+r+"Z"}},pentagon:{n:13,f:function(t){var e=n.round(.951*t,2),r=n.round(.588*t,2),i=n.round(-t,2),a=n.round(-.309*t,2);return"M"+e+","+a+"L"+r+","+n.round(.809*t,2)+"H-"+r+"L-"+e+","+a+"L0,"+i+"Z"}},hexagon:{n:14,f:function(t){var e=n.round(t,2),r=n.round(t/2,2),i=n.round(t*Math.sqrt(3)/2,2);return"M"+i+",-"+r+"V"+r+"L0,"+e+"L-"+i+","+r+"V-"+r+"L0,-"+e+"Z"}},hexagon2:{n:15,f:function(t){var e=n.round(t,2),r=n.round(t/2,2),i=n.round(t*Math.sqrt(3)/2,2);return"M-"+r+","+i+"H"+r+"L"+e+",0L"+r+",-"+i+"H-"+r+"L-"+e+",0Z"}},octagon:{n:16,f:function(t){var e=n.round(.924*t,2),r=n.round(.383*t,2);return"M-"+r+",-"+e+"H"+r+"L"+e+",-"+r+"V"+r+"L"+r+","+e+"H-"+r+"L-"+e+","+r+"V-"+r+"Z"}},star:{n:17,f:function(t){var e=1.4*t,r=n.round(.225*e,2),i=n.round(.951*e,2),a=n.round(.363*e,2),o=n.round(.588*e,2),s=n.round(-e,2),l=n.round(-.309*e,2),c=n.round(.118*e,2),u=n.round(.809*e,2);return"M"+r+","+l+"H"+i+"L"+a+","+c+"L"+o+","+u+"L0,"+n.round(.382*e,2)+"L-"+o+","+u+"L-"+a+","+c+"L-"+i+","+l+"H-"+r+"L0,"+s+"Z"}},hexagram:{n:18,f:function(t){var e=n.round(.66*t,2),r=n.round(.38*t,2),i=n.round(.76*t,2);return"M-"+i+",0l-"+r+",-"+e+"h"+i+"l"+r+",-"+e+"l"+r+","+e+"h"+i+"l-"+r+","+e+"l"+r+","+e+"h-"+i+"l-"+r+","+e+"l-"+r+",-"+e+"h-"+i+"Z"}},"star-triangle-up":{n:19,f:function(t){var e=n.round(t*Math.sqrt(3)*.8,2),r=n.round(.8*t,2),i=n.round(1.6*t,2),a=n.round(4*t,2),o="A "+a+","+a+" 0 0 1 ";return"M-"+e+","+r+o+e+","+r+o+"0,-"+i+o+"-"+e+","+r+"Z"}},"star-triangle-down":{n:20,f:function(t){var e=n.round(t*Math.sqrt(3)*.8,2),r=n.round(.8*t,2),i=n.round(1.6*t,2),a=n.round(4*t,2),o="A "+a+","+a+" 0 0 1 ";return"M"+e+",-"+r+o+"-"+e+",-"+r+o+"0,"+i+o+e+",-"+r+"Z"}},"star-square":{n:21,f:function(t){var e=n.round(1.1*t,2),r=n.round(2*t,2),i="A "+r+","+r+" 0 0 1 ";return"M-"+e+",-"+e+i+"-"+e+","+e+i+e+","+e+i+e+",-"+e+i+"-"+e+",-"+e+"Z"}},"star-diamond":{n:22,f:function(t){var e=n.round(1.4*t,2),r=n.round(1.9*t,2),i="A "+r+","+r+" 0 0 1 ";return"M-"+e+",0"+i+"0,"+e+i+e+",0"+i+"0,-"+e+i+"-"+e+",0Z"}},"diamond-tall":{n:23,f:function(t){var e=n.round(.7*t,2),r=n.round(1.4*t,2);return"M0,"+r+"L"+e+",0L0,-"+r+"L-"+e+",0Z"}},"diamond-wide":{n:24,f:function(t){var e=n.round(1.4*t,2),r=n.round(.7*t,2);return"M0,"+r+"L"+e+",0L0,-"+r+"L-"+e+",0Z"}},hourglass:{n:25,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"H-"+e+"L"+e+",-"+e+"H-"+e+"Z"},noDot:!0},bowtie:{n:26,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"V-"+e+"L-"+e+","+e+"V-"+e+"Z"},noDot:!0},"circle-cross":{n:27,f:function(t){var e=n.round(t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e+"M"+e+",0A"+e+","+e+" 0 1,1 0,-"+e+"A"+e+","+e+" 0 0,1 "+e+",0Z"},needLine:!0,noDot:!0},"circle-x":{n:28,f:function(t){var e=n.round(t,2),r=n.round(t/Math.sqrt(2),2);return"M"+r+","+r+"L-"+r+",-"+r+"M"+r+",-"+r+"L-"+r+","+r+"M"+e+",0A"+e+","+e+" 0 1,1 0,-"+e+"A"+e+","+e+" 0 0,1 "+e+",0Z"},needLine:!0,noDot:!0},"square-cross":{n:29,f:function(t){var e=n.round(t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e+"M"+e+","+e+"H-"+e+"V-"+e+"H"+e+"Z"},needLine:!0,noDot:!0},"square-x":{n:30,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"L-"+e+",-"+e+"M"+e+",-"+e+"L-"+e+","+e+"M"+e+","+e+"H-"+e+"V-"+e+"H"+e+"Z"},needLine:!0,noDot:!0},"diamond-cross":{n:31,f:function(t){var e=n.round(1.3*t,2);return"M"+e+",0L0,"+e+"L-"+e+",0L0,-"+e+"ZM0,-"+e+"V"+e+"M-"+e+",0H"+e},needLine:!0,noDot:!0},"diamond-x":{n:32,f:function(t){var e=n.round(1.3*t,2),r=n.round(.65*t,2);return"M"+e+",0L0,"+e+"L-"+e+",0L0,-"+e+"ZM-"+r+",-"+r+"L"+r+","+r+"M-"+r+","+r+"L"+r+",-"+r},needLine:!0,noDot:!0},"cross-thin":{n:33,f:function(t){var e=n.round(1.4*t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e},needLine:!0,noDot:!0,noFill:!0},"x-thin":{n:34,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"L-"+e+",-"+e+"M"+e+",-"+e+"L-"+e+","+e},needLine:!0,noDot:!0,noFill:!0},asterisk:{n:35,f:function(t){var e=n.round(1.2*t,2),r=n.round(.85*t,2);return"M0,"+e+"V-"+e+"M"+e+",0H-"+e+"M"+r+","+r+"L-"+r+",-"+r+"M"+r+",-"+r+"L-"+r+","+r},needLine:!0,noDot:!0,noFill:!0},hash:{n:36,f:function(t){var e=n.round(t/2,2),r=n.round(t,2);return"M"+e+","+r+"V-"+r+"m-"+r+",0V"+r+"M"+r+","+e+"H-"+r+"m0,-"+r+"H"+r},needLine:!0,noFill:!0},"y-up":{n:37,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M-"+e+","+i+"L0,0M"+e+","+i+"L0,0M0,-"+r+"L0,0"},needLine:!0,noDot:!0,noFill:!0},"y-down":{n:38,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M-"+e+",-"+i+"L0,0M"+e+",-"+i+"L0,0M0,"+r+"L0,0"},needLine:!0,noDot:!0,noFill:!0},"y-left":{n:39,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M"+i+","+e+"L0,0M"+i+",-"+e+"L0,0M-"+r+",0L0,0"},needLine:!0,noDot:!0,noFill:!0},"y-right":{n:40,f:function(t){var e=n.round(1.2*t,2),r=n.round(1.6*t,2),i=n.round(.8*t,2);return"M-"+i+","+e+"L0,0M-"+i+",-"+e+"L0,0M"+r+",0L0,0"},needLine:!0,noDot:!0,noFill:!0},"line-ew":{n:41,f:function(t){var e=n.round(1.4*t,2);return"M"+e+",0H-"+e},needLine:!0,noDot:!0,noFill:!0},"line-ns":{n:42,f:function(t){var e=n.round(1.4*t,2);return"M0,"+e+"V-"+e},needLine:!0,noDot:!0,noFill:!0},"line-ne":{n:43,f:function(t){var e=n.round(t,2);return"M"+e+",-"+e+"L-"+e+","+e},needLine:!0,noDot:!0,noFill:!0},"line-nw":{n:44,f:function(t){var e=n.round(t,2);return"M"+e+","+e+"L-"+e+",-"+e},needLine:!0,noDot:!0,noFill:!0},"arrow-up":{n:45,f:function(t){var e=n.round(t,2);return"M0,0L-"+e+","+n.round(2*t,2)+"H"+e+"Z"},noDot:!0},"arrow-down":{n:46,f:function(t){var e=n.round(t,2);return"M0,0L-"+e+",-"+n.round(2*t,2)+"H"+e+"Z"},noDot:!0},"arrow-left":{n:47,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,0L"+e+",-"+r+"V"+r+"Z"},noDot:!0},"arrow-right":{n:48,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,0L-"+e+",-"+r+"V"+r+"Z"},noDot:!0},"arrow-bar-up":{n:49,f:function(t){var e=n.round(t,2);return"M-"+e+",0H"+e+"M0,0L-"+e+","+n.round(2*t,2)+"H"+e+"Z"},needLine:!0,noDot:!0},"arrow-bar-down":{n:50,f:function(t){var e=n.round(t,2);return"M-"+e+",0H"+e+"M0,0L-"+e+",-"+n.round(2*t,2)+"H"+e+"Z"},needLine:!0,noDot:!0},"arrow-bar-left":{n:51,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,-"+r+"V"+r+"M0,0L"+e+",-"+r+"V"+r+"Z"},needLine:!0,noDot:!0},"arrow-bar-right":{n:52,f:function(t){var e=n.round(2*t,2),r=n.round(t,2);return"M0,-"+r+"V"+r+"M0,0L-"+e+",-"+r+"V"+r+"Z"},needLine:!0,noDot:!0}}},{d3:169}],639:[function(t,e,r){"use strict";e.exports={visible:{valType:"boolean",editType:"calc"},type:{valType:"enumerated",values:["percent","constant","sqrt","data"],editType:"calc"},symmetric:{valType:"boolean",editType:"calc"},array:{valType:"data_array",editType:"calc"},arrayminus:{valType:"data_array",editType:"calc"},value:{valType:"number",min:0,dflt:10,editType:"calc"},valueminus:{valType:"number",min:0,dflt:10,editType:"calc"},traceref:{valType:"integer",min:0,dflt:0,editType:"style"},tracerefminus:{valType:"integer",min:0,dflt:0,editType:"style"},copy_ystyle:{valType:"boolean",editType:"plot"},copy_zstyle:{valType:"boolean",editType:"style"},color:{valType:"color",editType:"style"},thickness:{valType:"number",min:0,dflt:2,editType:"style"},width:{valType:"number",min:0,editType:"plot"},editType:"calc",_deprecated:{opacity:{valType:"number",editType:"style"}}}},{}],640:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../registry"),a=t("../../plots/cartesian/axes"),o=t("../../lib"),s=t("./compute_error");function l(t,e,r,i){var l=e["error_"+i]||{},c=[];if(l.visible&&-1!==["linear","log"].indexOf(r.type)){for(var u=s(l),h=0;h<t.length;h++){var f=t[h],p=f.i;if(void 0===p)p=h;else if(null===p)continue;var d=f[i];if(n(r.c2l(d))){var g=u(d,p);if(n(g[0])&&n(g[1])){var m=f[i+"s"]=d-g[0],v=f[i+"h"]=d+g[1];c.push(m,v)}}}var y=r._id,x=e._extremes[y],b=a.findExtremes(r,c,o.extendFlat({tozero:x.opts.tozero},{padded:!0}));x.min=x.min.concat(b.min),x.max=x.max.concat(b.max)}}e.exports=function(t){for(var e=t.calcdata,r=0;r<e.length;r++){var n=e[r],o=n[0].trace;if(!0===o.visible&&i.traceIs(o,"errorBarsOK")){var s=a.getFromId(t,o.xaxis),c=a.getFromId(t,o.yaxis);l(n,o,s,"x"),l(n,o,c,"y")}}}},{"../../lib":750,"../../plots/cartesian/axes":799,"../../registry":882,"./compute_error":641,"fast-isnumeric":241}],641:[function(t,e,r){"use strict";function n(t,e){return"percent"===t?function(t){return Math.abs(t*e/100)}:"constant"===t?function(){return Math.abs(e)}:"sqrt"===t?function(t){return Math.sqrt(Math.abs(t))}:void 0}e.exports=function(t){var e=t.type,r=t.symmetric;if("data"===e){var i=t.array||[];if(r)return function(t,e){var r=+i[e];return[r,r]};var a=t.arrayminus||[];return function(t,e){var r=+i[e],n=+a[e];return isNaN(r)&&isNaN(n)?[NaN,NaN]:[n||0,r||0]}}var o=n(e,t.value),s=n(e,t.valueminus);return r||void 0===t.valueminus?function(t){var e=o(t);return[e,e]}:function(t){return[s(t),o(t)]}}},{}],642:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../registry"),a=t("../../lib"),o=t("../../plot_api/plot_template"),s=t("./attributes");e.exports=function(t,e,r,l){var c="error_"+l.axis,u=o.newContainer(e,c),h=t[c]||{};function f(t,e){return a.coerce(h,u,s,t,e)}if(!1!==f("visible",void 0!==h.array||void 0!==h.value||"sqrt"===h.type)){var p=f("type","array"in h?"data":"percent"),d=!0;"sqrt"!==p&&(d=f("symmetric",!(("data"===p?"arrayminus":"valueminus")in h))),"data"===p?(f("array"),f("traceref"),d||(f("arrayminus"),f("tracerefminus"))):"percent"!==p&&"constant"!==p||(f("value"),d||f("valueminus"));var g="copy_"+l.inherit+"style";if(l.inherit)(e["error_"+l.inherit]||{}).visible&&f(g,!(h.color||n(h.thickness)||n(h.width)));l.inherit&&u[g]||(f("color",r),f("thickness"),f("width",i.traceIs(e,"gl3d")?0:4))}}},{"../../lib":750,"../../plot_api/plot_template":788,"../../registry":882,"./attributes":639,"fast-isnumeric":241}],643:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/edit_types").overrideAll,a=t("./attributes"),o={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a)};delete o.error_x.copy_zstyle,delete o.error_y.copy_zstyle,delete o.error_y.copy_ystyle;var s={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a),error_z:n.extendFlat({},a)};delete s.error_x.copy_ystyle,delete s.error_y.copy_ystyle,delete s.error_z.copy_ystyle,delete s.error_z.copy_zstyle,e.exports={moduleType:"component",name:"errorbars",schema:{traces:{scatter:o,bar:o,histogram:o,scatter3d:i(s,"calc","nested"),scattergl:i(o,"calc","nested")}},supplyDefaults:t("./defaults"),calc:t("./calc"),makeComputeError:t("./compute_error"),plot:t("./plot"),style:t("./style"),hoverInfo:function(t,e,r){(e.error_y||{}).visible&&(r.yerr=t.yh-t.y,e.error_y.symmetric||(r.yerrneg=t.y-t.ys));(e.error_x||{}).visible&&(r.xerr=t.xh-t.x,e.error_x.symmetric||(r.xerrneg=t.x-t.xs))}}},{"../../lib":750,"../../plot_api/edit_types":781,"./attributes":639,"./calc":640,"./compute_error":641,"./defaults":642,"./plot":644,"./style":645}],644:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../drawing"),o=t("../../traces/scatter/subtypes");e.exports=function(t,e,r,s){var l=r.xaxis,c=r.yaxis,u=s&&s.duration>0;e.each((function(e){var h,f=e[0].trace,p=f.error_x||{},d=f.error_y||{};f.ids&&(h=function(t){return t.id});var g=o.hasMarkers(f)&&f.marker.maxdisplayed>0;d.visible||p.visible||(e=[]);var m=n.select(this).selectAll("g.errorbar").data(e,h);if(m.exit().remove(),e.length){p.visible||m.selectAll("path.xerror").remove(),d.visible||m.selectAll("path.yerror").remove(),m.style("opacity",1);var v=m.enter().append("g").classed("errorbar",!0);u&&v.style("opacity",0).transition().duration(s.duration).style("opacity",1),a.setClipUrl(m,r.layerClipId,t),m.each((function(t){var e=n.select(this),r=function(t,e,r){var n={x:e.c2p(t.x),y:r.c2p(t.y)};void 0!==t.yh&&(n.yh=r.c2p(t.yh),n.ys=r.c2p(t.ys),i(n.ys)||(n.noYS=!0,n.ys=r.c2p(t.ys,!0)));void 0!==t.xh&&(n.xh=e.c2p(t.xh),n.xs=e.c2p(t.xs),i(n.xs)||(n.noXS=!0,n.xs=e.c2p(t.xs,!0)));return n}(t,l,c);if(!g||t.vis){var a,o=e.select("path.yerror");if(d.visible&&i(r.x)&&i(r.yh)&&i(r.ys)){var h=d.width;a="M"+(r.x-h)+","+r.yh+"h"+2*h+"m-"+h+",0V"+r.ys,r.noYS||(a+="m-"+h+",0h"+2*h),!o.size()?o=e.append("path").style("vector-effect","non-scaling-stroke").classed("yerror",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr("d",a)}else o.remove();var f=e.select("path.xerror");if(p.visible&&i(r.y)&&i(r.xh)&&i(r.xs)){var m=(p.copy_ystyle?d:p).width;a="M"+r.xh+","+(r.y-m)+"v"+2*m+"m0,-"+m+"H"+r.xs,r.noXS||(a+="m0,-"+m+"v"+2*m),!f.size()?f=e.append("path").style("vector-effect","non-scaling-stroke").classed("xerror",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr("d",a)}else f.remove()}}))}}))}},{"../../traces/scatter/subtypes":1183,"../drawing":637,d3:169,"fast-isnumeric":241}],645:[function(t,e,r){"use strict";var n=t("d3"),i=t("../color");e.exports=function(t){t.each((function(t){var e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll("path.yerror").style("stroke-width",r.thickness+"px").call(i.stroke,r.color),a.copy_ystyle&&(a=r),o.selectAll("path.xerror").style("stroke-width",a.thickness+"px").call(i.stroke,a.color)}))}},{"../color":615,d3:169}],646:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("./layout_attributes").hoverlabel,a=t("../../lib/extend").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:"none"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:"none"}}},{"../../lib/extend":740,"../../plots/font_attributes":827,"./layout_attributes":656}],647:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!i.traceIs(c,"pie-like")){var u=i.traceIs(c,"2dMap")?a:n.fillArray;u(c.hoverinfo,l,"hi",o(c)),c.hovertemplate&&u(c.hovertemplate,l,"ht"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,"hbg"),u(c.hoverlabel.bordercolor,l,"hbc"),u(c.hoverlabel.font.size,l,"hts"),u(c.hoverlabel.font.color,l,"htc"),u(c.hoverlabel.font.family,l,"htf"),u(c.hoverlabel.namelength,l,"hnl"),u(c.hoverlabel.align,l,"hta"))}}}},{"../../lib":750,"../../registry":882}],648:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./hover").hover;e.exports=function(t,e,r){var a=n.getComponentMethod("annotations","onClick")(t,t._hoverdata);function o(){t.emit("plotly_click",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{"../../registry":882,"./hover":652}],649:[function(t,e,r){"use strict";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:"Arial, sans-serif",HOVERMINTIME:50,HOVERID:"-hover"}},{}],650:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./hoverlabel_defaults");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},{"../../lib":750,"./attributes":646,"./hoverlabel_defaults":653}],651:[function(t,e,r){"use strict";var n=t("../../lib");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if("splom"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==e.indexOf(n[a]+i[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,i){return"closest"===t?i||r.quadrature(e,n):"x"===t.charAt(0)?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var i=e(t[n]);i<=r.distance&&(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return Math.sqrt(n*n+i*i)}},r.makeEventData=function(t,e,n){var i="index"in t?t.index:t.pointNumber,a={data:e._input,fullData:e,curveNumber:e.index,pointNumber:i};if(e._indexToPoints){var o=e._indexToPoints[i];1===o.length?a.pointIndex=o[0]:a.pointIndices=o}else a.pointIndex=i;return e._module.eventData?a=e._module.eventData(a,t,e,n,i):("xVal"in t?a.x=t.xVal:"x"in t&&(a.x=t.x),"yVal"in t?a.y=t.yVal:"y"in t&&(a.y=t.y),t.xa&&(a.xaxis=t.xa),t.ya&&(a.yaxis=t.ya),void 0!==t.zLabelVal&&(a.z=t.zLabelVal)),r.appendArrayPointValue(a,e,i),a},r.appendArrayPointValue=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},r.appendArrayMultiPointValues=function(t,e,r){var i=e._arrayAttrs;if(i)for(var s=0;s<i.length;s++){var l=i[s],c=a(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),h=new Array(r.length),f=0;f<r.length;f++)h[f]=o(u,r[f]);t[c]=h}}};var i={ids:"id",locations:"location",labels:"label",values:"value","marker.colors":"color",parents:"parent"};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={"x unified":!0,"y unified":!0};r.isUnifiedHover=function(t){return"string"==typeof t&&!!l[t]},r.isXYhover=function(t){return"string"==typeof t&&!!s[t]}},{"../../lib":750}],652:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("tinycolor2"),o=t("../../lib"),s=t("../../lib/events"),l=t("../../lib/svg_text_utils"),c=t("../../lib/override_cursor"),u=t("../drawing"),h=t("../color"),f=t("../dragelement"),p=t("../../plots/cartesian/axes"),d=t("../../registry"),g=t("./helpers"),m=t("./constants"),v=t("../legend/defaults"),y=t("../legend/draw"),x=m.YANGLE,b=Math.PI*x/180,_=1/Math.sin(b),w=Math.cos(b),T=Math.sin(b),k=m.HOVERARROWSIZE,M=m.HOVERTEXTPAD;function A(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||""].join(",")}r.hover=function(t,e,r,a){t=o.getGraphDiv(t),o.throttle(t._fullLayout._uid+m.HOVERID,m.HOVERMINTIME,(function(){!function(t,e,r,a){r||(r="xy");var l=Array.isArray(r)?r:[r],u=t._fullLayout,p=u._plots||[],m=p[r],v=u._has("cartesian");if(m){var y=m.overlays.map((function(t){return t.id}));l=l.concat(y)}for(var x=l.length,b=new Array(x),w=new Array(x),T=!1,k=0;k<x;k++){var M=l[k];if(p[M])T=!0,b[k]=p[M].xaxis,w[k]=p[M].yaxis;else{if(!u[M]||!u[M]._subplot)return void o.warn("Unrecognized subplot: "+M);var S=u[M]._subplot;b[k]=S.xaxis,w[k]=S.yaxis}}var C=e.hovermode||u.hovermode;C&&!T&&(C="closest");if(-1===["x","y","closest","x unified","y unified"].indexOf(C)||!t.calcdata||t.querySelector(".zoombox")||t._dragging)return f.unhoverRaw(t,e);var O,D,R,F,B,N,j,U,V,q,H,G,Y,W=-1===u.hoverdistance?1/0:u.hoverdistance,Z=-1===u.spikedistance?1/0:u.spikedistance,X=[],J=[],K={hLinePoint:null,vLinePoint:null},Q=!1;if(Array.isArray(e))for(C="array",R=0;R<e.length;R++)(B=t.calcdata[e[R].curveNumber||0])&&(N=B[0].trace,"skip"!==B[0].trace.hoverinfo&&(J.push(B),"h"===N.orientation&&(Q=!0)));else{for(F=0;F<t.calcdata.length;F++)B=t.calcdata[F],"skip"!==(N=B[0].trace).hoverinfo&&g.isTraceInSubplots(N,l)&&(J.push(B),"h"===N.orientation&&(Q=!0));var $,tt;if(!e.target)$="xpx"in e?e.xpx:b[0]._length/2,tt="ypx"in e?e.ypx:w[0]._length/2;else{if(!1===s.triggerHandler(t,"plotly_beforehover",e))return;var et=e.target.getBoundingClientRect();if($=e.clientX-et.left,tt=e.clientY-et.top,$<0||$>b[0]._length||tt<0||tt>w[0]._length)return f.unhoverRaw(t,e)}if(e.pointerX=$+b[0]._offset,e.pointerY=tt+w[0]._offset,O="xval"in e?g.flat(l,e.xval):g.p2c(b,$),D="yval"in e?g.flat(l,e.yval):g.p2c(w,tt),!i(O[0])||!i(D[0]))return o.warn("Fx.hover failed",e,t),f.unhoverRaw(t,e)}var rt=1/0;function nt(t,r){for(F=0;F<J.length;F++)if((B=J[F])&&B[0]&&B[0].trace&&!0===(N=B[0].trace).visible&&0!==N._length&&-1===["carpet","contourcarpet"].indexOf(N._module.name)){if("splom"===N.type?j=l[U=0]:(j=g.getSubplot(N),U=l.indexOf(j)),V=C,g.isUnifiedHover(V)&&(V=V.charAt(0)),G={cd:B,trace:N,xa:b[U],ya:w[U],maxHoverDistance:W,maxSpikeDistance:Z,index:!1,distance:Math.min(rt,W),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:h.defaultLine,name:N.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[j]&&(G.subplot=u[j]._subplot),u._splomScenes&&u._splomScenes[N.uid]&&(G.scene=u._splomScenes[N.uid]),Y=X.length,"array"===V){var n=e[F];"pointNumber"in n?(G.index=n.pointNumber,V="closest"):(V="","xval"in n&&(q=n.xval,V="x"),"yval"in n&&(H=n.yval,V=V?"closest":"y"))}else void 0!==t&&void 0!==r?(q=t,H=r):(q=O[U],H=D[U]);if(0!==W)if(N._module&&N._module.hoverPoints){var a=N._module.hoverPoints(G,q,H,V,u._hoverlayer);if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&X.push(P(s,C))}else o.log("Unrecognized trace type in hover:",N);if("closest"===C&&X.length>Y&&(X.splice(0,Y),rt=X[0].distance),v&&0!==Z&&0===X.length){G.distance=Z,G.index=!1;var f=N._module.hoverPoints(G,q,H,"closest",u._hoverlayer);if(f&&(f=f.filter((function(t){return t.spikeDistance<=Z}))),f&&f.length){var p,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(p=at(m),(!K.vLinePoint||K.vLinePoint.spikeDistance>p.spikeDistance)&&(K.vLinePoint=p))}var y=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(y.length){var x=y[0];i(x.x0)&&i(x.y0)&&(p=at(x),(!K.hLinePoint||K.hLinePoint.spikeDistance>p.spikeDistance)&&(K.hLinePoint=p))}}}}}function it(t,e){for(var r,n=null,i=1/0,a=0;a<t.length;a++)(r=t[a].spikeDistance)<=i&&r<=e&&(n=t[a],i=r);return n}function at(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}nt();var ot={fullLayout:u,container:u._hoverlayer,outerContainer:u._paperdiv,event:e},st=t._spikepoints,lt={vLinePoint:K.vLinePoint,hLinePoint:K.hLinePoint};if(t._spikepoints=lt,v&&0!==Z&&0!==X.length){var ct=it(X.filter((function(t){return t.ya.showspikes})),Z);K.hLinePoint=at(ct);var ut=it(X.filter((function(t){return t.xa.showspikes})),Z);K.vLinePoint=at(ut)}if(0===X.length){var ht=f.unhoverRaw(t,e);return!v||null===K.hLinePoint&&null===K.vLinePoint||z(st)&&I(t,K,ot),ht}v&&z(st)&&I(t,K,ot);if(X.sort((function(t,e){return t.distance-e.distance})),g.isXYhover(V)&&0!==X[0].length&&"splom"!==X[0].trace.type){var ft=X[0],pt=ft.cd[ft.index],dt="group"===u.boxmode||"group"===u.violinmode,gt=ft.xVal,mt=ft.xa;"category"===mt.type&&(gt=mt._categoriesMap[gt]),"date"===mt.type&&(gt=mt.d2c(gt)),pt&&pt.t&&pt.t.posLetter===mt._id&&dt&&(gt+=pt.t.dPos);var vt=ft.yVal;"category"===(mt=ft.ya).type&&(vt=mt._categoriesMap[vt]),"date"===mt.type&&(vt=mt.d2c(vt)),pt&&pt.t&&pt.t.posLetter===mt._id&&dt&&(vt+=pt.t.dPos),nt(gt,vt);var yt={};X=X.filter((function(t){var e=A(t);if(!yt[e])return yt[e]=!0,yt[e]}))}var xt=t._hoverdata,bt=[];for(R=0;R<X.length;R++){var _t=X[R],wt=g.makeEventData(_t,_t.trace,_t.cd);if(!1!==_t.hovertemplate){var Tt=!1;_t.cd[_t.index]&&_t.cd[_t.index].ht&&(Tt=_t.cd[_t.index].ht),_t.hovertemplate=Tt||_t.trace.hovertemplate||!1}_t.eventData=[wt],bt.push(wt)}t._hoverdata=bt;var kt="y"===C&&(J.length>1||X.length>1)||"closest"===C&&Q&&X.length>1,Mt=h.combine(u.plot_bgcolor||h.background,u.paper_bgcolor),At={hovermode:C,rotateLabels:kt,bgColor:Mt,container:u._hoverlayer,outerContainer:u._paperdiv,commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance},St=E(X,At,t);g.isUnifiedHover(C)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,h=1,f=t.size(),p=new Array(f),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i="x"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(h=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?_:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||h*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=f;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var w=b[s],T=w.datum;T.offset=w.dp,T.del=w.del}}}(St,kt?"xa":"ya",u),L(St,kt));if(e.target&&e.target.tagName){var Et=d.getComponentMethod("annotations","hasClickToShow")(t,bt);c(n.select(e.target),Et?"pointer":"")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,xt))return;xt&&t.emit("plotly_unhover",{event:e,points:xt});t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:b,yaxes:w,xvals:O,yvals:D})}(t,e,r,a)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),a=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):a,s={hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||h.background,container:a,outerContainer:o},l=E(i,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\s\S]*)<\/extra>/;function E(t,e,r){var i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E="y"===a.charAt(0)?"yLabel":"xLabel",L=w[E],P=(String(L)||"").split(" ")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&("x"===a||"y"===a);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split("+");if(-1===j.indexOf("all")&&-1===j.indexOf(a)){R=!1;break}}N&&(R=!1)}var U=f.selectAll("g.axistext").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||"").split(" ")[0]===P}))}if(U.enter().append("g").classed("axistext",!0),U.exit().remove(),U.each((function(){var e=n.select(this),s=o.ensureSingle(e,"path","",(function(t){t.style({"stroke-width":"1px"})})),c=o.ensureSingle(e,"text","",(function(t){t.attr("data-notex",1)})),f=d.bgcolor||h.defaultLine,p=d.bordercolor||h.contrast(f),g=h.contrast(f),m={family:d.font.family||b,size:d.font.size||_,color:d.font.color||g};s.style({fill:f,stroke:p}),c.text(L).call(u.font,m).call(l.positionText,0,0).call(l.convertToTspans,r),e.attr("transform","");var v,y,x=c.node().getBoundingClientRect();if("x"===a){var A="top"===T.side?"-":"";c.attr("text-anchor","middle").call(l.positionText,0,"top"===T.side?z-x.bottom-k-M:z-x.top+k+M),v=T._offset+(w.x0+w.x1)/2,y=S._offset+("top"===T.side?0:S._length);var E=x.width/2+M;v<E?(v=E,s.attr("d","M-"+(E-k)+",0L-"+(E-2*k)+","+A+k+"H"+(M+x.width/2)+"v"+A+(2*M+x.height)+"H-"+E+"V"+A+k+"Z")):v>i.width-E?(v=i.width-E,s.attr("d","M"+(E-k)+",0L"+E+","+A+k+"v"+A+(2*M+x.height)+"H-"+E+"V"+A+k+"H"+(E-2*k)+"Z")):s.attr("d","M0,0L"+k+","+A+k+"H"+(M+x.width/2)+"v"+A+(2*M+x.height)+"H-"+(M+x.width/2)+"V"+A+k+"H-"+k+"Z")}else{var C,P,I;"right"===S.side?(C="start",P=1,I="",v=T._offset+T._length):(C="end",P=-1,I="-",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr("text-anchor",C),s.attr("d","M0,0L"+I+k+","+k+"V"+(M+x.height/2)+"h"+I+(2*M+x.width)+"V-"+(M+x.height/2)+"H"+I+k+"V-"+k+"Z");var O,D=x.height/2,R=z-x.top-D,F="clip"+i._uid+"commonlabel"+S._id;if(v<x.width+2*M+k){O="M-"+(k+M)+"-"+D+"h-"+(x.width-M)+"V"+D+"h"+(x.width-M)+"Z";var B=x.width-v+M;l.positionText(c,B,R),"end"===C&&c.selectAll("tspan").each((function(){var t=n.select(this),e=u.tester.append("text").text(t.text()).call(u.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(x.width)&&t.attr("x",B-r.width),e.remove()}))}else l.positionText(c,P*(M+k),R),O=null;var N=i._topclips.selectAll("#"+F).data(O?[0]:[]);N.enter().append("clipPath").attr("id",F).append("path"),N.exit().remove(),N.select("path").attr("d",O),u.setClipUrl(c,O?F:null,r)}e.attr("transform","translate("+v+","+y+")"),t=V(t)})),g.isUnifiedHover(a)){if(f.selectAll("g.hovertext").remove(),void 0!==L&&w.distance<=e.hoverdistance&&(t=V(t)),0===t.length)return;var q={showlegend:!0,legend:{title:{text:L,font:i.hoverlabel.font},font:i.hoverlabel.font,bgcolor:i.hoverlabel.bgcolor,bordercolor:i.hoverlabel.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:"v"}},H={};v(q,H,r._fullData);var G=H.legend;G.entries=[];for(var Y=0;Y<t.length;Y++){var W=C(t[Y],!0,a,i,L),Z=W[0],X=W[1],J=t[Y];J.name=X,J.text=""!==X?X+" : "+Z:Z;var K=J.cd[J.index];K&&(K.mc&&(J.mc=K.mc),K.mcc&&(J.mc=K.mcc),K.mlc&&(J.mlc=K.mlc),K.mlcc&&(J.mlc=K.mlcc),K.mlw&&(J.mlw=K.mlw),K.mrc&&(J.mrc=K.mrc),K.dir&&(J.dir=K.dir)),J._distinct=!0,G.entries.push([J])}G.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),G.layer=f,y(r,G);var Q=o.mean(t.map((function(t){return(t.y0+t.y1)/2}))),$=o.mean(t.map((function(t){return(t.x0+t.x1)/2}))),tt=f.select("g.legend"),et=tt.node().getBoundingClientRect();$+=T._offset,Q+=S._offset-et.height/2;var rt=et.width+2*M;!($+rt<=O)&&$-rt>=0?$-=rt:$+=2*M;var nt=et.height+2*M,it=Q+nt>=D;return nt<=D&&(Q<=z?Q=S._offset+2*M:it&&(Q=D-nt)),tt.attr("transform","translate("+$+","+Q+")"),tt}var at=f.selectAll("g.hovertext").data(t,(function(t){return A(t)}));return at.enter().append("g").classed("hovertext",!0).each((function(){var t=n.select(this);t.append("rect").call(h.fill,h.addOpacity(c,.8)),t.append("text").classed("name",!0),t.append("path").style("stroke-width","1px"),t.append("text").classed("nums",!0).call(u.font,b,_)})),at.exit().remove(),at.each((function(t){var e=n.select(this).attr("transform",""),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var f=t.bgcolor||o,p=h.combine(h.opacity(f)?f:h.defaultLine,c),d=h.combine(h.opacity(o)?o:h.defaultLine,c),g=t.borderColor||h.contrast(p),m=C(t,R,a,i,L,e),v=m[0],y=m[1],w=e.select("text.nums").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||g).text(v).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r),T=e.select("text.name"),A=0,S=0;if(y&&y!==v){T.call(u.font,t.fontFamily||b,t.fontSize||_,d).text(y).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r);var E=T.node().getBoundingClientRect();A=E.width+2*M,S=E.height+2*M}else T.remove(),e.select("rect").remove();e.select("path").style({fill:p,stroke:g});var P,I,F=w.node().getBoundingClientRect(),B=t.xa._offset+(t.x0+t.x1)/2,N=t.ya._offset+(t.y0+t.y1)/2,j=Math.abs(t.x1-t.x0),U=Math.abs(t.y1-t.y0),V=F.width+k+M+A;if(t.ty0=z-F.top,t.bx=F.width+2*M,t.by=Math.max(F.height+2*M,S),t.anchor="start",t.txwidth=F.width,t.tx2width=A,t.offset=0,s)t.pos=B,P=N+U/2+V<=D,I=N-U/2-V>=0,"top"!==t.idealAlign&&P||!I?P?(N+=U/2,t.anchor="start"):t.anchor="middle":(N-=U/2,t.anchor="end");else if(t.pos=N,P=B+j/2+V<=O,I=B-j/2-V>=0,"left"!==t.idealAlign&&P||!I)if(P)B+=j/2,t.anchor="start";else{t.anchor="middle";var q=V/2,H=B+q-O,G=B-q;H>0&&(B-=H),G<0&&(B+=-G)}else B-=j/2,t.anchor="end";w.attr("text-anchor",t.anchor),A&&T.attr("text-anchor",t.anchor),e.attr("transform","translate("+B+","+N+")"+(s?"rotate("+x+")":""))})),at}function C(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"<br>"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"<br>"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[r.charAt(0)+"Label"]===i?l=t[("x"===r.charAt(0)?"y":"x")+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"<br>":"")+t.text),void 0!==t.extraText&&(l+=(l?"<br>":"")+t.extraText),a&&""===l&&!t.hovertemplate&&(""===s&&a.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),""}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var i=r.select("text.nums"),a=t.anchor,o="end"===a?-1:1,s={start:1,end:-1,middle:0}[a],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;"middle"===a&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select("path").attr("d","middle"===a?"M-"+(t.bx/2+t.tx2width/2)+","+(p-t.by/2)+"h"+t.bx+"v"+t.by+"h-"+t.bx+"Z":"M0,0L"+(o*k+f)+","+(k+p)+"v"+(t.by/2-k)+"h"+o*t.bx+"v-"+t.by+"H"+(o*k+f)+"V"+(p-k)+"Z");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||"auto";"auto"!==m&&("left"===m&&"start"!==a?(i.attr("text-anchor","start"),d="middle"===a?-t.bx/2-t.tx2width/2+M:-t.bx-M):"right"===m&&"end"!==a&&(i.attr("text-anchor","end"),d="middle"===a?t.bx/2-t.tx2width/2-M:t.bx+M)),i.call(l.positionText,d,g),t.tx2width&&(r.select("text.name").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select("rect").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u("hoverinfo","hi","hoverinfo"),u("bgcolor","hbg","hoverlabel.bgcolor"),u("borderColor","hbc","hoverlabel.bordercolor"),u("fontFamily","htf","hoverlabel.font.family"),u("fontSize","hts","hoverlabel.font.size"),u("fontColor","htc","hoverlabel.font.color"),u("nameLength","hnl","hoverlabel.namelength"),u("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:p.hoverLabelText(t.xa,t.xLabelVal),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:p.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var h=p.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+h+" / -"+p.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" \xb1 "+h,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var f=p.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+f+" / -"+p.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" \xb1 "+f,"y"===e&&(t.distance+=1)}var d=t.hoverinfo||t.trace.hoverinfo;return d&&"all"!==d&&(-1===(d=Array.isArray(d)?d:d.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===d.indexOf("y")&&(t.yLabel=void 0),-1===d.indexOf("z")&&(t.zLabel=void 0),-1===d.indexOf("text")&&(t.text=void 0),-1===d.indexOf("name")&&(t.name=void 0)),t}function I(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,f=!!e.hLinePoint,d=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),d||f){var g=h.combine(s.plot_bgcolor,s.paper_bgcolor);if(f){var m,v,y=e.hLinePoint;n=y&&y.xa,"cursor"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,g)<1.5?h.contrast(g):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,M=p.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=M,b=m),-1!==w.indexOf("across")){var A=i._counterDomainMin,S=i._counterDomainMax;"free"===i.anchor&&(A=Math.min(A,i.position),S=Math.max(S,i.position)),x=l.l+A*l.w,b=l.l+S*l.w}o.insert("line",":first-child").attr({x1:x,x2:b,y1:v,y2:v,"stroke-width":T,stroke:k,"stroke-dasharray":u.dashStyle(i.spikedash,T)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:x,x2:b,y1:v,y2:v,"stroke-width":T+2,stroke:g}).classed("spikeline",!0).classed("crisp",!0)}-1!==w.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:M+("right"!==i.side?T:-T),cy:v,r:T,fill:k}).classed("spikeline",!0)}if(d){var E,C,L=e.vLinePoint;n=L&&L.xa,i=L&&L.ya,"cursor"===n.spikesnap?(E=c.pointerX,C=c.pointerY):(E=n._offset+L.x,C=i._offset+L.y);var P,I,z=a.readability(L.color,g)<1.5?h.contrast(g):L.color,O=n.spikemode,D=n.spikethickness,R=n.spikecolor||z,F=p.getPxPosition(t,n);if(-1!==O.indexOf("toaxis")||-1!==O.indexOf("across")){if(-1!==O.indexOf("toaxis")&&(P=F,I=C),-1!==O.indexOf("across")){var B=n._counterDomainMin,N=n._counterDomainMax;"free"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,I=l.t+(1-B)*l.h}o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:I,"stroke-width":D,stroke:R,"stroke-dasharray":u.dashStyle(n.spikedash,D)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:I,"stroke-width":D+2,stroke:g}).classed("spikeline",!0).classed("crisp",!0)}-1!==O.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:E,cy:F-("top"!==n.side?D:-D),r:D,fill:R}).classed("spikeline",!0)}}}function z(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function O(t,e){return l.plainText(t||"",{len:e,allowedTags:["br","sub","sup","b","i","em"]})}},{"../../lib":750,"../../lib/events":739,"../../lib/override_cursor":761,"../../lib/svg_text_utils":774,"../../plots/cartesian/axes":799,"../../registry":882,"../color":615,"../dragelement":634,"../drawing":637,"../legend/defaults":667,"../legend/draw":668,"./constants":649,"./helpers":651,d3:169,"fast-isnumeric":241,tinycolor2:548}],653:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color"),a=t("./helpers").isUnifiedHover;e.exports=function(t,e,r,o){function s(t){o.font[t]||(o.font[t]=e.legend?e.legend.font[t]:e.font[t])}o=o||{},e&&a(e.hovermode)&&(o.font||(o.font={}),s("size"),s("family"),s("color"),e.legend?(o.bgcolor||(o.bgcolor=i.combine(e.legend.bgcolor,e.paper_bgcolor)),o.bordercolor||(o.bordercolor=e.legend.bordercolor)):o.bgcolor||(o.bgcolor=e.paper_bgcolor)),r("hoverlabel.bgcolor",o.bgcolor),r("hoverlabel.bordercolor",o.bordercolor),r("hoverlabel.namelength",o.namelength),n.coerceFont(r,"hoverlabel.font",o.font),r("hoverlabel.align",o.align)}},{"../../lib":750,"../color":615,"./helpers":651}],654:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){function a(r,a){return void 0!==e[r]?e[r]:n.coerce(t,e,i,r,a)}var o,s=a("clickmode");return e._has("cartesian")?s.indexOf("select")>-1?o="closest":(e._isHoriz=function(t,e){for(var r=e._scatterStackOpts||{},n=0;n<t.length;n++){var i=t[n],a=i.xaxis+i.yaxis,o=(r[a]||{})[i.stackgroup]||{};if("h"!==i.orientation&&"h"!==o.orientation)return!1}return!0}(r,e),o=e._isHoriz?"y":"x"):o="closest",a("hovermode",o)}},{"../../lib":750,"./layout_attributes":656}],655:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../dragelement"),o=t("./helpers"),s=t("./layout_attributes"),l=t("./hover");e.exports={moduleType:"component",name:"fx",constants:t("./constants"),schema:{layout:s},attributes:t("./attributes"),layoutAttributes:s,supplyLayoutGlobalDefaults:t("./layout_global_defaults"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll("g.hovertext").remove(),e.selectAll(".spikeline").remove()},click:t("./click")}},{"../../lib":750,"../dragelement":634,"./attributes":646,"./calc":647,"./click":648,"./constants":649,"./defaults":650,"./helpers":651,"./hover":652,"./layout_attributes":656,"./layout_defaults":657,"./layout_global_defaults":658,d3:169}],656:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../plots/font_attributes")({editType:"none"});i.family.dflt=n.HOVERFONT,i.size.dflt=n.HOVERFONTSIZE,e.exports={clickmode:{valType:"flaglist",flags:["event","select"],dflt:"event",editType:"plot",extras:["none"]},dragmode:{valType:"enumerated",values:["zoom","pan","select","lasso","drawclosedpath","drawopenpath","drawline","drawrect","drawcircle","orbit","turntable",!1],dflt:"zoom",editType:"modebar"},hovermode:{valType:"enumerated",values:["x","y","closest",!1,"x unified","y unified"],editType:"modebar"},hoverdistance:{valType:"integer",min:-1,dflt:20,editType:"none"},spikedistance:{valType:"integer",min:-1,dflt:20,editType:"none"},hoverlabel:{bgcolor:{valType:"color",editType:"none"},bordercolor:{valType:"color",editType:"none"},font:i,align:{valType:"enumerated",values:["left","right","auto"],dflt:"auto",editType:"none"},namelength:{valType:"integer",min:-1,dflt:15,editType:"none"},editType:"none"},selectdirection:{valType:"enumerated",values:["h","v","d","any"],dflt:"any",editType:"none"}}},{"../../plots/font_attributes":827,"./constants":649}],657:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./helpers").isUnifiedHover,a=t("./layout_attributes"),o=t("./hovermode_defaults"),s=t("./hoverlabel_defaults");e.exports=function(t,e,r){function l(r,i){return n.coerce(t,e,a,r,i)}var c=o(t,e,r);c&&(l("hoverdistance"),l("spikedistance",i(c)?-1:void 0)),"select"===l("dragmode")&&l("selectdirection");var u=e._has("mapbox"),h=e._has("geo"),f=e._basePlotModules.length;"zoom"===e.dragmode&&((u||h)&&1===f||u&&h&&2===f)&&(e.dragmode="pan"),s(t,e,l)}},{"../../lib":750,"./helpers":651,"./hoverlabel_defaults":653,"./hovermode_defaults":654,"./layout_attributes":656}],658:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./hoverlabel_defaults"),a=t("./layout_attributes");e.exports=function(t,e){i(t,e,(function(r,i){return n.coerce(t,e,a,r,i)}))}},{"../../lib":750,"./hoverlabel_defaults":653,"./layout_attributes":656}],659:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../lib/regex").counter,a=t("../../plots/domain").attributes,o=t("../../plots/cartesian/constants").idRegex,s=t("../../plot_api/plot_template"),l={rows:{valType:"integer",min:1,editType:"plot"},roworder:{valType:"enumerated",values:["top to bottom","bottom to top"],dflt:"top to bottom",editType:"plot"},columns:{valType:"integer",min:1,editType:"plot"},subplots:{valType:"info_array",freeLength:!0,dimensions:2,items:{valType:"enumerated",values:[i("xy").toString(),""],editType:"plot"},editType:"plot"},xaxes:{valType:"info_array",freeLength:!0,items:{valType:"enumerated",values:[o.x.toString(),""],editType:"plot"},editType:"plot"},yaxes:{valType:"info_array",freeLength:!0,items:{valType:"enumerated",values:[o.y.toString(),""],editType:"plot"},editType:"plot"},pattern:{valType:"enumerated",values:["independent","coupled"],dflt:"coupled",editType:"plot"},xgap:{valType:"number",min:0,max:1,editType:"plot"},ygap:{valType:"number",min:0,max:1,editType:"plot"},domain:a({name:"grid",editType:"plot",noGridCell:!0},{}),xside:{valType:"enumerated",values:["bottom","bottom plot","top plot","top"],dflt:"bottom plot",editType:"plot"},yside:{valType:"enumerated",values:["left","left plot","right plot","right"],dflt:"left plot",editType:"plot"},editType:"plot"};function c(t,e,r){var n=e[r+"axes"],i=Object.keys((t._splomAxes||{})[r]||{});return Array.isArray(n)?n:i.length?i:void 0}function u(t,e,r,n,i,a){var o=e(t+"gap",r),s=e("domain."+t);e(t+"side",n);for(var l=new Array(i),c=s[0],u=(s[1]-c)/(i-o),h=u*(1-o),f=0;f<i;f++){var p=c+u*f;l[a?i-1-f:f]=[p,p+h]}return l}function h(t,e,r,n,i){var a,o=new Array(r);function s(t,r){-1!==e.indexOf(r)&&void 0===n[r]?(o[t]=r,n[r]=t):o[t]=""}if(Array.isArray(t))for(a=0;a<r;a++)s(a,t[a]);else for(s(0,i),a=1;a<r;a++)s(a,i+(a+1));return o}e.exports={moduleType:"component",name:"grid",schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(t,e){var r=t.grid||{},i=c(e,r,"x"),a=c(e,r,"y");if(t.grid||i||a){var o,h,f=Array.isArray(r.subplots)&&Array.isArray(r.subplots[0]),p=Array.isArray(i),d=Array.isArray(a),g=p&&i!==r.xaxes&&d&&a!==r.yaxes;f?(o=r.subplots.length,h=r.subplots[0].length):(d&&(o=a.length),p&&(h=i.length));var m=s.newContainer(e,"grid"),v=k("rows",o),y=k("columns",h);if(v*y>1){if(!f&&!p&&!d)"independent"===k("pattern")&&(f=!0);m._hasSubplotGrid=f;var x,b,_="top to bottom"===k("roworder"),w=f?.2:.1,T=f?.3:.1;g&&e._splomGridDflt&&(x=e._splomGridDflt.xside,b=e._splomGridDflt.yside),m._domains={x:u("x",k,w,x,y),y:u("y",k,T,b,v,_)}}else delete e.grid}function k(t,e){return n.coerce(r,m,l,t,e)}},contentDefaults:function(t,e){var r=e.grid;if(r&&r._domains){var n,i,a,o,s,l,u,f=t.grid||{},p=e._subplots,d=r._hasSubplotGrid,g=r.rows,m=r.columns,v="independent"===r.pattern,y=r._axisMap={};if(d){var x=f.subplots||[];l=r.subplots=new Array(g);var b=1;for(n=0;n<g;n++){var _=l[n]=new Array(m),w=x[n]||[];for(i=0;i<m;i++)if(v?(s=1===b?"xy":"x"+b+"y"+b,b++):s=w[i],_[i]="",-1!==p.cartesian.indexOf(s)){if(u=s.indexOf("y"),a=s.slice(0,u),o=s.slice(u),void 0!==y[a]&&y[a]!==i||void 0!==y[o]&&y[o]!==n)continue;_[i]=s,y[a]=i,y[o]=n}}}else{var T=c(e,f,"x"),k=c(e,f,"y");r.xaxes=h(T,p.xaxis,m,y,"x"),r.yaxes=h(k,p.yaxis,g,y,"y")}var M=r._anchors={},A="top to bottom"===r.roworder;for(var S in y){var E,C,L,P=S.charAt(0),I=r[P+"side"];if(I.length<8)M[S]="free";else if("x"===P){if("t"===I.charAt(0)===A?(E=0,C=1,L=g):(E=g-1,C=-1,L=-1),d){var z=y[S];for(n=E;n!==L;n+=C)if((s=l[n][z])&&(u=s.indexOf("y"),s.slice(0,u)===S)){M[S]=s.slice(u);break}}else for(n=E;n!==L;n+=C)if(o=r.yaxes[n],-1!==p.cartesian.indexOf(S+o)){M[S]=o;break}}else if("l"===I.charAt(0)?(E=0,C=1,L=m):(E=m-1,C=-1,L=-1),d){var O=y[S];for(n=E;n!==L;n+=C)if((s=l[O][n])&&(u=s.indexOf("y"),s.slice(u)===S)){M[S]=s.slice(0,u);break}}else for(n=E;n!==L;n+=C)if(a=r.xaxes[n],-1!==p.cartesian.indexOf(a+S)){M[S]=a;break}}}}}},{"../../lib":750,"../../lib/regex":766,"../../plot_api/plot_template":788,"../../plots/cartesian/constants":805,"../../plots/domain":826}],660:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":718,"../../plot_api/plot_template":788,"../../plots/cartesian/constants":805}],661:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.images,h=e._id.charAt(0),f=0;f<u.length;f++)if(c="images["+f+"].",(l=u[f])[h+"ref"]===e._id){var p=l[h],d=l["size"+h],g=null,m=null;if(o){g=i(p,e.range);var v=d/Math.pow(10,g)/2;m=2*Math.log(v+Math.sqrt(1+v*v))/Math.LN10}else m=(g=Math.pow(10,p))*(Math.pow(10,d/2)-Math.pow(10,-d/2));n(g)?n(m)||(m=null):(g=null,m=null),a(c+h,g),a(c+"size"+h,m)}}},{"../../lib/to_log_range":776,"fast-isnumeric":241}],662:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./attributes");function s(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var s=a("source");if(!a("visible",!!s))return e;a("layer"),a("xanchor"),a("yanchor"),a("sizex"),a("sizey"),a("sizing"),a("opacity");for(var l={_fullLayout:r},c=["x","y"],u=0;u<2;u++){var h=c[u],f=i.coerceRef(t,e,l,h,"paper",void 0);if("paper"!==f)i.getFromId(l,f)._imgIndices.push(e._index);i.coercePosition(e,l,a,f,h,0)}return e}e.exports=function(t,e){a(t,e,{name:"images",handleItemDefaults:s})}},{"../../lib":750,"../../plots/array_container_defaults":794,"../../plots/cartesian/axes":799,"./attributes":660}],663:[function(t,e,r){"use strict";var n=t("d3"),i=t("../drawing"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/axis_ids"),s=t("../../constants/xmlns_namespaces");e.exports=function(t){var e,r,l=t._fullLayout,c=[],u={},h=[];for(r=0;r<l.images.length;r++){var f=l.images[r];if(f.visible)if("below"===f.layer&&"paper"!==f.xref&&"paper"!==f.yref){e=o.ref2id(f.xref)+o.ref2id(f.yref);var p=l._plots[e];if(!p){h.push(f);continue}p.mainplot&&(e=p.mainplot.id),u[e]||(u[e]=[]),u[e].push(f)}else"above"===f.layer?c.push(f):h.push(f)}var d={left:{sizing:"xMin",offset:0},center:{sizing:"xMid",offset:-.5},right:{sizing:"xMax",offset:-1}},g={top:{sizing:"YMin",offset:0},middle:{sizing:"YMid",offset:-.5},bottom:{sizing:"YMax",offset:-1}};function m(e){var r=n.select(this);if(this._imgSrc!==e.source)if(r.attr("xmlns",s.svg),e.source&&"data:"===e.source.slice(0,5))r.attr("xlink:href",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute("crossOrigin","anonymous"),n.onerror=i,n.onload=function(){var e=document.createElement("canvas");e.width=this.width,e.height=this.height,e.getContext("2d").drawImage(this,0,0);var n=e.toDataURL("image/png");r.attr("xlink:href",n),t()},r.on("error",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function v(e){var r,o,s=n.select(this),c=a.getFromId(t,e.xref),u=a.getFromId(t,e.yref),h="domain"===a.getRefType(e.xref),f="domain"===a.getRefType(e.yref),p=l._size;r=void 0!==c?"string"==typeof e.xref&&h?c._length*e.sizex:Math.abs(c.l2p(e.sizex)-c.l2p(0)):e.sizex*p.w,o=void 0!==u?"string"==typeof e.yref&&f?u._length*e.sizey:Math.abs(u.l2p(e.sizey)-u.l2p(0)):e.sizey*p.h;var m,v,y=r*d[e.xanchor].offset,x=o*g[e.yanchor].offset,b=d[e.xanchor].sizing+g[e.yanchor].sizing;switch(m=void 0!==c?"string"==typeof e.xref&&h?c._length*e.x+c._offset:c.r2p(e.x)+c._offset:e.x*p.w+p.l,m+=y,v=void 0!==u?"string"==typeof e.yref&&f?u._length*(1-e.y)+u._offset:u.r2p(e.y)+u._offset:p.h-e.y*p.h+p.t,v+=x,e.sizing){case"fill":b+=" slice";break;case"stretch":b="none"}s.attr({x:m,y:v,width:r,height:o,preserveAspectRatio:b,opacity:e.opacity});var _=(c&&"domain"!==a.getRefType(e.xref)?c._id:"")+(u&&"domain"!==a.getRefType(e.yref)?u._id:"");i.setClipUrl(s,_?"clip"+l._uid+_:null,t)}var y=l._imageLowerLayer.selectAll("image").data(h),x=l._imageUpperLayer.selectAll("image").data(c);y.enter().append("image"),x.enter().append("image"),y.exit().remove(),x.exit().remove(),y.each((function(t){m.bind(this)(t),v.bind(this)(t)})),x.each((function(t){m.bind(this)(t),v.bind(this)(t)}));var b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll("image").data(u[e]||[]);w.enter().append("image"),w.exit().remove(),w.each((function(t){m.bind(this)(t),v.bind(this)(t)}))}}}},{"../../constants/xmlns_namespaces":726,"../../plots/cartesian/axes":799,"../../plots/cartesian/axis_ids":802,"../drawing":637,d3:169}],664:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"images",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("images"),draw:t("./draw"),convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":811,"./attributes":660,"./convert_coords":661,"./defaults":662,"./draw":663}],665:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../color/attributes");e.exports={bgcolor:{valType:"color",editType:"legend"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"legend"},borderwidth:{valType:"number",min:0,dflt:0,editType:"legend"},font:n({editType:"legend"}),orientation:{valType:"enumerated",values:["v","h"],dflt:"v",editType:"legend"},traceorder:{valType:"flaglist",flags:["reversed","grouped"],extras:["normal"],editType:"legend"},tracegroupgap:{valType:"number",min:0,dflt:10,editType:"legend"},itemsizing:{valType:"enumerated",values:["trace","constant"],dflt:"trace",editType:"legend"},itemclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggle",editType:"legend"},itemdoubleclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggleothers",editType:"legend"},x:{valType:"number",min:-2,max:3,editType:"legend"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"legend"},y:{valType:"number",min:-2,max:3,editType:"legend"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],editType:"legend"},uirevision:{valType:"any",editType:"none"},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"legend"},title:{text:{valType:"string",dflt:"",editType:"legend"},font:n({editType:"legend"}),side:{valType:"enumerated",values:["top","left","top left"],editType:"legend"},editType:"legend"},editType:"legend"}},{"../../plots/font_attributes":827,"../color/attributes":614}],666:[function(t,e,r){"use strict";e.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:"#808BA4",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,textGap:40,itemGap:5}},{}],667:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plot_api/plot_template"),o=t("./attributes"),s=t("../../plots/layout_attributes"),l=t("./helpers");e.exports=function(t,e,r){for(var c=t.legend||{},u=0,h=!1,f="normal",p=0;p<r.length;p++){var d=r[p];d.visible&&((d.showlegend||d._dfltShowLegend&&!(d._module&&d._module.attributes&&d._module.attributes.showlegend&&!1===d._module.attributes.showlegend.dflt))&&(u++,d.showlegend&&(h=!0,(n.traceIs(d,"pie-like")||!0===d._input.showlegend)&&u++)),(n.traceIs(d,"bar")&&"stack"===e.barmode||-1!==["tonextx","tonexty"].indexOf(d.fill))&&(f=l.isGrouped({traceorder:f})?"grouped+reversed":"reversed"),void 0!==d.legendgroup&&""!==d.legendgroup&&(f=l.isReversed({traceorder:f})?"reversed+grouped":"grouped"))}var g=i.coerce(t,e,s,"showlegend",h&&u>1);if(!1!==g||c.uirevision){var m=a.newContainer(e,"legend");if(_("uirevision",e.uirevision),!1!==g){_("bgcolor",e.paper_bgcolor),_("bordercolor"),_("borderwidth"),i.coerceFont(_,"font",e.font);var v,y,x,b=_("orientation");"h"===b?(v=0,n.getComponentMethod("rangeslider","isVisible")(t.xaxis)?(y=1.1,x="bottom"):(y=-.1,x="top")):(v=1.02,y=1,x="auto"),_("traceorder",f),l.isGrouped(e.legend)&&_("tracegroupgap"),_("itemsizing"),_("itemclick"),_("itemdoubleclick"),_("x",v),_("xanchor"),_("y",y),_("yanchor",x),_("valign"),i.noneOrAll(c,m,["x","y"]),_("title.text")&&(_("title.side","h"===b?"left":"top"),i.coerceFont(_,"title.font",e.font))}}function _(t,e){return i.coerce(c,m,o,t,e)}}},{"../../lib":750,"../../plot_api/plot_template":788,"../../plots/layout_attributes":853,"../../registry":882,"./attributes":665,"./helpers":671}],668:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib/events"),l=t("../dragelement"),c=t("../drawing"),u=t("../color"),h=t("../../lib/svg_text_utils"),f=t("./handle_click"),p=t("./constants"),d=t("../../constants/alignment"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t("./get_legend_data"),x=t("./style"),b=t("./helpers");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,"pie-like")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,"plotly_legendclick",l))if(1===n)e._clickTimeout=setTimeout((function(){f(r,t,n)}),t._context.doubleClickDelay);else if(2===n){e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,"plotly_legenddoubleclick",l)&&f(r,t,n)}}function w(t,e,r){var n,a=t.data()[0][0],s=a.trace,l=o.traceIs(s,"pie-like"),u=s.index,f=r._main&&e._context.edits.legendText&&!l,d=r._maxNameLength;r.entries?n=a.text:(n=l?a.label:s.name,s._meta&&(n=i.templateString(n,s._meta)));var g=i.ensureSingle(t,"text","legendtext");g.attr("text-anchor","start").call(c.font,r.font).text(f?T(n,d):n),h.positionText(g,p.textGap,0),f?g.call(h.makeEditable,{gd:e,text:n}).call(M,t,e,r).on("edit",(function(n){this.text(T(n,d)).call(M,t,e,r);var s=a.trace._fullInput||{},l={};if(o.hasTransform(s,"groupby")){var c=o.getTransformIndices(s,"groupby"),h=c[c.length-1],f=i.keyedContainer(s,"transforms["+h+"].styles","target","value.name");f.set(a.trace._group,n),l=f.constructUpdate()}else l.name=n;return o.call("_guiRestyle",e,l,u)})):M(g,t,e,r)}function T(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||"").length;n>0;n--)t+=" ";return t}function k(t,e){var r,a=e._context.doubleClickDelay,o=1,s=i.ensureSingle(t,"rect","legendtoggle",(function(t){e._context.staticPlot||t.style("cursor","pointer").attr("pointer-events","all"),t.call(u.fill,"rgba(0,0,0,0)")}));e._context.staticPlot||(s.on("mousedown",(function(){(r=(new Date).getTime())-e._legendMouseDownTime<a?o+=1:(o=1,e._legendMouseDownTime=r)})),s.on("mouseup",(function(){if(!e._dragged&&!e._editing){var r=e._fullLayout.legend;(new Date).getTime()-e._legendMouseDownTime>a&&(o=Math.max(o-1,1)),_(e,r,t,o,n.event)}})))}function M(t,e,r,n){n._main||t.attr("data-notex",!0),h.convertToTspans(t,r,(function(){!function(t,e,r){var n=t.data()[0][0];if(r._main&&n&&!n.trace.showlegend)return void t.remove();var i=t.select("g[class*=math-group]"),a=i.node();r||(r=e._fullLayout.legend);var o,s,l=r.borderwidth,u=(n?r:r.title).font.size*g;if(a){var f=c.bBox(a);o=f.height,s=f.width,n?c.setTranslate(i,0,.25*o):c.setTranslate(i,l,.75*o+l)}else{var d=t.select(n?".legendtext":".legendtitletext"),m=h.lineCount(d),v=d.node();o=u*m,s=v?c.bBox(v).width:0;var y=u*((m-1)/2-.3);n?h.positionText(d,p.textGap,-y):h.positionText(d,p.titlePad+l,u+l)}n?(n.lineHeight=u,n.height=Math.max(o,16)+3,n.width=s):(r._titleWidth=s,r._titleHeight=o)}(e,r,n)}))}function A(t){return i.isRightAnchor(t)?"right":i.isCenterAnchor(t)?"center":"left"}function S(t){return i.isBottomAnchor(t)?"bottom":i.isMiddleAnchor(t)?"middle":"top"}e.exports=function(t,e){var r,s=t._fullLayout,h="legend"+s._uid;if(e?(r=e.layer,h+="-hover"):((e=s.legend||{})._main=!0,r=s._infolayer),r){var f;if(t._legendMouseDownTime||(t._legendMouseDownTime=0),e._main){if(!t.calcdata)return;f=s.showlegend&&y(t.calcdata,e)}else{if(!e.entries)return;f=y(e.entries,e)}var d=s.hiddenlabels||[];if(e._main&&(!s.showlegend||!f.length))return r.selectAll(".legend").remove(),s._topdefs.select("#"+h).remove(),a.autoMargin(t,"legend");var g=i.ensureSingle(r,"g","legend",(function(t){e._main&&t.attr("pointer-events","all")})),T=i.ensureSingleById(s._topdefs,"clipPath",h,(function(t){t.append("rect")})),E=i.ensureSingle(g,"rect","bg",(function(t){t.attr("shape-rendering","crispEdges")}));E.call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px");var C=i.ensureSingle(g,"g","scrollbox"),L=e.title;if(e._titleWidth=0,e._titleHeight=0,L.text){var P=i.ensureSingle(C,"text","legendtitletext");P.attr("text-anchor","start").call(c.font,L.font).text(L.text),M(P,C,t,e)}else C.selectAll(".legendtitletext").remove();var I=i.ensureSingle(g,"rect","scrollbar",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),z=C.selectAll("g.groups").data(f);z.enter().append("g").attr("class","groups"),z.exit().remove();var O=z.selectAll("g.traces").data(i.identity);O.enter().append("g").attr("class","traces"),O.exit().remove(),O.style("opacity",(function(t){var e=t[0].trace;return o.traceIs(e,"pie-like")?-1!==d.indexOf(t[0].label)?.5:1:"legendonly"===e.visible?.5:1})).each((function(){n.select(this).call(w,t,e)})).call(x,t,e).each((function(){e._main&&n.select(this).call(k,t)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout;i||(i=a.legend);var o=a._size,s=b.isVertical(i),l=b.isGrouped(i),u=i.borderwidth,h=2*u,f=p.textGap,d=p.itemGap,g=2*(u+d),m=S(i),v=i.y<0||0===i.y&&"top"===m,y=i.y>1||1===i.y&&"bottom"===m;i._maxHeight=Math.max(v||y?a.height/2:o.h,30);var x=0;i._width=0,i._height=0;var _=function(t){var e=0,r=0,n=t.title.side;n&&(-1!==n.indexOf("left")&&(e=t._titleWidth),-1!==n.indexOf("top")&&(r=t._titleHeight));return[e,r]}(i);if(s)r.each((function(t){var e=t[0].height;c.setTranslate(this,u+_[0],u+_[1]+i._height+e/2+d),i._height+=e,i._width=Math.max(i._width,t[0].width)})),x=f+i._width,i._width+=d+f+h,i._height+=g,l&&(e.each((function(t,e){c.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var w=A(i),T=i.x<0||0===i.x&&"right"===w,k=i.x>1||1===i.x&&"left"===w,M=y||v,E=a.width/2;i._maxWidth=Math.max(T?M&&"left"===w?o.l+o.w:E:k?M&&"right"===w?o.r+o.w:E:o.w,2*f);var C=0,L=0;r.each((function(t){var e=t[0].width+f;C=Math.max(C,e),L+=e})),x=null;var P=0;if(l){var I=0,z=0,O=0;e.each((function(){var t=0,e=0;n.select(this).selectAll("g.traces").each((function(r){var n=r[0].height;c.setTranslate(this,_[0],_[1]+u+d+n/2+e),e+=n,t=Math.max(t,f+r[0].width)})),I=Math.max(I,e);var r=t+d;r+u+z>i._maxWidth&&(P=Math.max(P,z),z=0,O+=I+i.tracegroupgap,I=e),c.setTranslate(this,z,O),z+=r})),i._width=Math.max(P,z)+u,i._height=O+I+g}else{var D=r.size(),R=L+h+(D-1)*d<i._maxWidth,F=0,B=0,N=0,j=0;r.each((function(t){var e=t[0].height,r=f+t[0].width,n=(R?r:C)+d;n+u+B-d>=i._maxWidth&&(P=Math.max(P,j),B=0,N+=F,i._height+=F,F=0),c.setTranslate(this,_[0]+u+B,_[1]+u+N+e/2+d),j=B+r+d,B+=n,F=Math.max(F,e)})),R?(i._width=B+h,i._height=F+g):(i._width=Math.max(P,j)+h,i._height+=F+g)}}i._width=Math.ceil(Math.max(i._width+_[0],i._titleWidth+2*(u+p.titlePad))),i._height=Math.ceil(Math.max(i._height+_[1],i._titleHeight+2*(u+p.itemGap))),i._effHeight=Math.min(i._height,i._maxHeight);var U=t._context.edits,V=U.legendText||U.legendPosition;r.each((function(t){var e=n.select(this).select(".legendtoggle"),r=t[0].height,i=V?f:x||f+t[0].width;s||(i+=d/2),c.setRect(e,0,-r/2,i,r)}))}(t,z,O,e)},function(){if(!e._main||!function(t){var e=t._fullLayout.legend,r=A(e),n=S(e);return a.autoMargin(t,"legend",{x:e.x,y:e.y,l:e._width*m[r],r:e._width*v[r],b:e._effHeight*v[n],t:e._effHeight*m[n]})}(t)){var u,f,d,y,x=s._size,b=e.borderwidth,w=x.l+x.w*e.x-m[A(e)]*e._width,k=x.t+x.h*(1-e.y)-m[S(e)]*e._effHeight;if(e._main&&s.margin.autoexpand){var M=w,L=k;w=i.constrain(w,0,s.width-e._width),k=i.constrain(k,0,s.height-e._effHeight),w!==M&&i.log("Constrain legend.x to make legend fit inside graph"),k!==L&&i.log("Constrain legend.y to make legend fit inside graph")}if(e._main&&c.setTranslate(g,w,k),I.on(".drag",null),g.on("wheel",null),!e._main||e._height<=e._maxHeight||t._context.staticPlot){var P=e._effHeight;e._main||(P=e._height),E.attr({width:e._width-b,height:P-b,x:b/2,y:b/2}),c.setTranslate(C,0,0),T.select("rect").attr({width:e._width-2*b,height:P-2*b,x:b,y:b}),c.setClipUrl(C,h,t),c.setRect(I,0,0,0,0),delete e._scrollY}else{var z,O,D,R=Math.max(p.scrollBarMinHeight,e._effHeight*e._effHeight/e._height),F=e._effHeight-R-2*p.scrollBarMargin,B=e._height-e._effHeight,N=F/B,j=Math.min(e._scrollY||0,B);E.attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-b,x:b/2,y:b/2}),T.select("rect").attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-2*b,x:b,y:b+j}),c.setClipUrl(C,h,t),q(j,R,N),g.on("wheel",(function(){q(j=i.constrain(e._scrollY+n.event.deltaY/F*B,0,B),R,N),0!==j&&j!==B&&n.event.preventDefault()}));var U=n.behavior.drag().on("dragstart",(function(){var t=n.event.sourceEvent;z="touchstart"===t.type?t.changedTouches[0].clientY:t.clientY,D=j})).on("drag",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(O="touchmove"===t.type?t.changedTouches[0].clientY:t.clientY,q(j=function(t,e,r){var n=(r-e)/N+t;return i.constrain(n,0,B)}(D,z,O),R,N))}));I.call(U);var V=n.behavior.drag().on("dragstart",(function(){var t=n.event.sourceEvent;"touchstart"===t.type&&(z=t.changedTouches[0].clientY,D=j)})).on("drag",(function(){var t=n.event.sourceEvent;"touchmove"===t.type&&(O=t.changedTouches[0].clientY,q(j=function(t,e,r){var n=(e-r)/N+t;return i.constrain(n,0,B)}(D,z,O),R,N))}));C.call(V)}if(t._context.edits.legendPosition)g.classed("cursor-move",!0),l.init({element:g.node(),gd:t,prepFn:function(){var t=c.getTranslate(g);d=t.x,y=t.y},moveFn:function(t,r){var n=d+t,i=y+r;c.setTranslate(g,n,i),u=l.align(n,0,x.l,x.l+x.w,e.xanchor),f=l.align(i,0,x.t+x.h,x.t,e.yanchor)},doneFn:function(){void 0!==u&&void 0!==f&&o.call("_guiRelayout",t,{"legend.x":u,"legend.y":f})},clickFn:function(e,n){var i=r.selectAll("g.traces").filter((function(){var t=this.getBoundingClientRect();return n.clientX>=t.left&&n.clientX<=t.right&&n.clientY>=t.top&&n.clientY<=t.bottom}));i.size()>0&&_(t,g,i,e,n)}})}function q(r,n,i){e._scrollY=t._fullLayout.legend._scrollY=r,c.setTranslate(C,0,-r),c.setRect(I,e._width,p.scrollBarMargin+r*i,p.scrollBarWidth,n),T.select("rect").attr("y",b+r)}}],t)}}},{"../../constants/alignment":717,"../../lib":750,"../../lib/events":739,"../../lib/svg_text_utils":774,"../../plots/plots":862,"../../registry":882,"../color":615,"../dragelement":634,"../drawing":637,"./constants":666,"./get_legend_data":669,"./handle_click":670,"./helpers":671,"./style":673,d3:169}],669:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./helpers");e.exports=function(t,e){var r,a,o={},s=[],l=!1,c={},u=0,h=0,f=e._main;function p(t,r){if(""!==t&&i.isGrouped(e))-1===s.indexOf(t)?(s.push(t),l=!0,o[t]=[[r]]):o[t].push([r]);else{var n="~~i"+u;s.push(n),o[n]=[[r]],u++}}for(r=0;r<t.length;r++){var d=t[r],g=d[0],m=g.trace,v=m.legendgroup;if(!f||m.visible&&m.showlegend)if(n.traceIs(m,"pie-like"))for(c[v]||(c[v]={}),a=0;a<d.length;a++){var y=d[a].label;c[v][y]||(p(v,{label:y,color:d[a].color,i:d[a].i,trace:m,pts:d[a].pts}),c[v][y]=!0,h=Math.max(h,(y||"").length))}else p(v,g),h=Math.max(h,(m.name||"").length)}if(!s.length)return[];var x,b,_=s.length;if(l&&i.isGrouped(e))for(b=new Array(_),r=0;r<_;r++)x=o[s[r]],b[r]=i.isReversed(e)?x.reverse():x;else{for(b=[new Array(_)],r=0;r<_;r++)x=o[s[r]][0],b[0][i.isReversed(e)?_-r-1:r]=x;_=1}return e._lgroupsLength=_,e._maxNameLength=h,b}},{"../../registry":882,"./helpers":671}],670:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=!0;e.exports=function(t,e,r){var o=e._fullLayout;if(!e._dragged&&!e._editing){var s,l=o.legend.itemclick,c=o.legend.itemdoubleclick;if(1===r&&"toggle"===l&&"toggleothers"===c&&a&&e.data&&e._context.showTips?(n.notifier(n._(e,"Double-click on legend to isolate one trace"),"long"),a=!1):a=!1,1===r?s=l:2===r&&(s=c),s){var u,h,f,p,d,g=o.hiddenlabels?o.hiddenlabels.slice():[],m=t.data()[0][0],v=e._fullData,y=m.trace,x=y.legendgroup,b={},_=[],w=[],T=[];if(i.traceIs(y,"pie-like")){var k=m.label,M=g.indexOf(k);"toggle"===s?-1===M?g.push(k):g.splice(M,1):"toggleothers"===s&&(g=[],e.calcdata[0].forEach((function(t){k!==t.label&&g.push(t.label)})),e._fullLayout.hiddenlabels&&e._fullLayout.hiddenlabels.length===g.length&&-1===M&&(g=[])),i.call("_guiRelayout",e,"hiddenlabels",g)}else{var A,S=x&&x.length,E=[];if(S)for(u=0;u<v.length;u++)(A=v[u]).visible&&A.legendgroup===x&&E.push(u);if("toggle"===s){var C;switch(y.visible){case!0:C="legendonly";break;case!1:C=!1;break;case"legendonly":C=!0}if(S)for(u=0;u<v.length;u++)!1!==v[u].visible&&v[u].legendgroup===x&&B(v[u],C);else B(y,C)}else if("toggleothers"===s){var L,P,I,z,O=!0;for(u=0;u<v.length;u++)if(L=v[u]===y,I=!0!==v[u].showlegend,!(L||I||(P=S&&v[u].legendgroup===x)||!0!==v[u].visible||i.traceIs(v[u],"notLegendIsolatable"))){O=!1;break}for(u=0;u<v.length;u++)if(!1!==v[u].visible&&!i.traceIs(v[u],"notLegendIsolatable"))switch(y.visible){case"legendonly":B(v[u],!0);break;case!0:z=!!O||"legendonly",L=v[u]===y,I=!0!==v[u].showlegend&&!v[u].legendgroup,P=L||S&&v[u].legendgroup===x,B(v[u],!(!P&&!I)||z)}}for(u=0;u<w.length;u++)if(f=w[u]){var D=f.constructUpdate(),R=Object.keys(D);for(h=0;h<R.length;h++)p=R[h],(b[p]=b[p]||[])[T[u]]=D[p]}for(d=Object.keys(b),u=0;u<d.length;u++)for(p=d[u],h=0;h<_.length;h++)b[p].hasOwnProperty(h)||(b[p][h]=void 0);i.call("_guiRestyle",e,b,_)}}}function F(t,e,r){var n=_.indexOf(t),i=b[e];return i||(i=b[e]=[]),-1===_.indexOf(t)&&(_.push(t),n=_.length-1),i[n]=r,n}function B(t,e){var r=t._fullInput;if(i.hasTransform(r,"groupby")){var a=w[r.index];if(!a){var o=i.getTransformIndices(r,"groupby"),s=o[o.length-1];a=n.keyedContainer(r,"transforms["+s+"].styles","target","value.visible"),w[r.index]=a}var l=a.get(t._group);void 0===l&&(l=!0),!1!==l&&a.set(t._group,e),T[r.index]=F(r.index,"visible",!1!==r.visible)}else{var c=!1!==r.visible&&e;F(r.index,"visible",c)}}}},{"../../lib":750,"../../registry":882}],671:[function(t,e,r){"use strict";r.isGrouped=function(t){return-1!==(t.traceorder||"").indexOf("grouped")},r.isVertical=function(t){return"h"!==t.orientation},r.isReversed=function(t){return-1!==(t.traceorder||"").indexOf("reversed")}},{}],672:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"legend",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),draw:t("./draw"),style:t("./style")}},{"./attributes":665,"./defaults":667,"./draw":668,"./style":673}],673:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../lib"),o=t("../drawing"),s=t("../color"),l=t("../colorscale/helpers").extractOpts,c=t("../../traces/scatter/subtypes"),u=t("../../traces/pie/style_one"),h=t("../../traces/pie/helpers").castOption;function f(t,e){return(e?"radial":"horizontal")+(t?"":"reversed")}e.exports=function(t,e,r){var p=e._fullLayout;r||(r=p.legend);var d="constant"===r.itemsizing,g=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return d?n:Math.min(i,r)};function m(t,e,r){var a=t[0].trace,o=a.marker||{},l=o.line||{},c=r?a.visible&&a.type===r:i.traceIs(a,"bar"),u=n.select(e).select("g.legendpoints").selectAll("path.legend"+r).data(c?[t]:[]);u.enter().append("path").classed("legend"+r,!0).attr("d","M6,6H-6V-6H6Z").attr("transform","translate(20,0)"),u.exit().remove(),u.each((function(t){var e=n.select(this),r=t[0],i=g(r.mlw,o.line,5,2);e.style("stroke-width",i+"px").call(s.fill,r.mc||o.color),i&&s.stroke(e,r.mlc||l.color)}))}function v(t,e,r){var o=t[0],s=o.trace,l=r?s.visible&&s.type===r:i.traceIs(s,r),c=n.select(e).select("g.legendpoints").selectAll("path.legend"+r).data(l?[t]:[]);if(c.enter().append("path").classed("legend"+r,!0).attr("d","M6,6H-6V-6H6Z").attr("transform","translate(20,0)"),c.exit().remove(),c.size()){var f=(s.marker||{}).line,p=g(h(f.width,o.pts),f,5,2),d=a.minExtend(s,{marker:{line:{width:p}}});d.marker.line.color=f.color;var m=a.minExtend(o,{trace:d});u(c,m,d)}}t.each((function(t){var e=n.select(this),i=a.ensureSingle(e,"g","layers");i.style("opacity",t[0].trace.opacity);var o=r.valign,s=t[0].lineHeight,l=t[0].height;if("middle"!==o&&s&&l){var c={top:1,bottom:-1}[o]*(.5*(s-l+3));i.attr("transform","translate(0,"+c+")")}else i.attr("transform",null);i.selectAll("g.legendfill").data([t]).enter().append("g").classed("legendfill",!0),i.selectAll("g.legendlines").data([t]).enter().append("g").classed("legendlines",!0);var u=i.selectAll("g.legendsymbols").data([t]);u.enter().append("g").classed("legendsymbols",!0),u.selectAll("g.legendpoints").data([t]).enter().append("g").classed("legendpoints",!0)})).each((function(t){var r,i=t[0].trace,c=[];if(i.visible)switch(i.type){case"histogram2d":case"heatmap":c=[["M-15,-2V4H15V-2Z"]],r=!0;break;case"choropleth":case"choroplethmapbox":c=[["M-6,-6V6H6V-6Z"]],r=!0;break;case"densitymapbox":c=[["M-6,0 a6,6 0 1,0 12,0 a 6,6 0 1,0 -12,0"]],r="radial";break;case"cone":c=[["M-6,2 A2,2 0 0,0 -6,6 V6L6,4Z"],["M-6,-6 A2,2 0 0,0 -6,-2 L6,-4Z"],["M-6,-2 A2,2 0 0,0 -6,2 L6,0Z"]],r=!1;break;case"streamtube":c=[["M-6,2 A2,2 0 0,0 -6,6 H6 A2,2 0 0,1 6,2 Z"],["M-6,-6 A2,2 0 0,0 -6,-2 H6 A2,2 0 0,1 6,-6 Z"],["M-6,-2 A2,2 0 0,0 -6,2 H6 A2,2 0 0,1 6,-2 Z"]],r=!1;break;case"surface":c=[["M-6,-6 A2,3 0 0,0 -6,0 H6 A2,3 0 0,1 6,-6 Z"],["M-6,1 A2,3 0 0,1 -6,6 H6 A2,3 0 0,0 6,0 Z"]],r=!0;break;case"mesh3d":c=[["M-6,6H0L-6,-6Z"],["M6,6H0L6,-6Z"],["M-6,-6H6L0,6Z"]],r=!1;break;case"volume":c=[["M-6,6H0L-6,-6Z"],["M6,6H0L6,-6Z"],["M-6,-6H6L0,6Z"]],r=!0;break;case"isosurface":c=[["M-6,6H0L-6,-6Z"],["M6,6H0L6,-6Z"],["M-6,-6 A12,24 0 0,0 6,-6 L0,6Z"]],r=!1}var u=n.select(this).select("g.legendpoints").selectAll("path.legend3dandfriends").data(c);u.enter().append("path").classed("legend3dandfriends",!0).attr("transform","translate(20,0)").style("stroke-miterlimit",1),u.exit().remove(),u.each((function(t,c){var u,h=n.select(this),p=l(i),d=p.colorscale,g=p.reversescale;if(d){if(!r){var m=d.length;u=0===c?d[g?m-1:0][1]:1===c?d[g?0:m-1][1]:d[Math.floor((m-1)/2)][1]}}else{var v=i.vertexcolor||i.facecolor||i.color;u=a.isArrayOrTypedArray(v)?v[c]||v[0]:v}h.attr("d",t[0]),u?h.call(s.fill,u):h.call((function(t){if(t.size()){var n="legendfill-"+i.uid;o.gradient(t,e,n,f(g,"radial"===r),d,"fill")}}))}))})).each((function(t){var e=t[0].trace,r="waterfall"===e.type;if(t[0]._distinct&&r){var i=t[0].trace[t[0].dir].marker;return t[0].mc=i.color,t[0].mlw=i.line.width,t[0].mlc=i.line.color,m(t,this,"waterfall")}var a=[];e.visible&&r&&(a=t[0].hasTotals?[["increasing","M-6,-6V6H0Z"],["totals","M6,6H0L-6,-6H-0Z"],["decreasing","M6,6V-6H0Z"]]:[["increasing","M-6,-6V6H6Z"],["decreasing","M6,6V-6H-6Z"]]);var o=n.select(this).select("g.legendpoints").selectAll("path.legendwaterfall").data(a);o.enter().append("path").classed("legendwaterfall",!0).attr("transform","translate(20,0)").style("stroke-miterlimit",1),o.exit().remove(),o.each((function(t){var r=n.select(this),i=e[t[0]].marker,a=g(void 0,i.line,5,2);r.attr("d",t[1]).style("stroke-width",a+"px").call(s.fill,i.color),a&&r.call(s.stroke,i.line.color)}))})).each((function(t){m(t,this,"funnel")})).each((function(t){m(t,this)})).each((function(t){var r=t[0].trace,l=n.select(this).select("g.legendpoints").selectAll("path.legendbox").data(r.visible&&i.traceIs(r,"box-violin")?[t]:[]);l.enter().append("path").classed("legendbox",!0).attr("d","M6,6H-6V-6H6Z").attr("transform","translate(20,0)"),l.exit().remove(),l.each((function(){var t=n.select(this);if("all"!==r.boxpoints&&"all"!==r.points||0!==s.opacity(r.fillcolor)||0!==s.opacity((r.line||{}).color)){var i=g(void 0,r.line,5,2);t.style("stroke-width",i+"px").call(s.fill,r.fillcolor),i&&s.stroke(t,r.line.color)}else{var c=a.minExtend(r,{marker:{size:d?12:a.constrain(r.marker.size,2,16),sizeref:1,sizemin:1,sizemode:"diameter"}});l.call(o.pointStyle,c,e)}}))})).each((function(t){v(t,this,"funnelarea")})).each((function(t){v(t,this,"pie")})).each((function(t){var r,i,s=t[0],u=s.trace,h=u.visible&&u.fill&&"none"!==u.fill,p=c.hasLines(u),d=u.contours,m=!1,v=!1,y=l(u),x=y.colorscale,b=y.reversescale;if(d){var _=d.coloring;"lines"===_?m=!0:p="none"===_||"heatmap"===_||d.showlines,"constraint"===d.type?h="="!==d._operation:"fill"!==_&&"heatmap"!==_||(v=!0)}var w=c.hasMarkers(u)||c.hasText(u),T=h||v,k=p||m,M=w||!T?"M5,0":k?"M5,-2":"M5,-3",A=n.select(this),S=A.select(".legendfill").selectAll("path").data(h||v?[t]:[]);if(S.enter().append("path").classed("js-fill",!0),S.exit().remove(),S.attr("d",M+"h30v6h-30z").call(h?o.fillGroupStyle:function(t){if(t.size()){var r="legendfill-"+u.uid;o.gradient(t,e,r,f(b),x,"fill")}}),p||m){var E=g(void 0,u.line,10,5);i=a.minExtend(u,{line:{width:E}}),r=[a.minExtend(s,{trace:i})]}var C=A.select(".legendlines").selectAll("path").data(p||m?[r]:[]);C.enter().append("path").classed("js-line",!0),C.exit().remove(),C.attr("d",M+(m?"l30,0.0001":"h30")).call(p?o.lineGroupStyle:function(t){if(t.size()){var r="legendline-"+u.uid;o.lineGroupStyle(t),o.gradient(t,e,r,f(b),x,"stroke")}})})).each((function(t){var r,i,s=t[0],l=s.trace,u=c.hasMarkers(l),h=c.hasText(l),f=c.hasLines(l);function p(t,e,r,n){var i=a.nestedProperty(l,t).get(),o=a.isArrayOrTypedArray(i)&&e?e(i):i;if(d&&o&&void 0!==n&&(o=n),r){if(o<r[0])return r[0];if(o>r[1])return r[1]}return o}function g(t){return s._distinct&&s.index&&t[s.index]?t[s.index]:t[0]}if(u||h||f){var m={},v={};if(u){m.mc=p("marker.color",g),m.mx=p("marker.symbol",g),m.mo=p("marker.opacity",a.mean,[.2,1]),m.mlc=p("marker.line.color",g),m.mlw=p("marker.line.width",a.mean,[0,5],2),v.marker={sizeref:1,sizemin:1,sizemode:"diameter"};var y=p("marker.size",a.mean,[2,16],12);m.ms=y,v.marker.size=y}f&&(v.line={width:p("line.width",g,[0,10],5)}),h&&(m.tx="Aa",m.tp=p("textposition",g),m.ts=10,m.tc=p("textfont.color",g),m.tf=p("textfont.family",g)),r=[a.minExtend(s,m)],(i=a.minExtend(l,v)).selectedpoints=null,i.texttemplate=null}var x=n.select(this).select("g.legendpoints"),b=x.selectAll("path.scatterpts").data(u?r:[]);b.enter().insert("path",":first-child").classed("scatterpts",!0).attr("transform","translate(20,0)"),b.exit().remove(),b.call(o.pointStyle,i,e),u&&(r[0].mrc=3);var _=x.selectAll("g.pointtext").data(h?r:[]);_.enter().append("g").classed("pointtext",!0).append("text").attr("transform","translate(20,0)"),_.exit().remove(),_.selectAll("text").call(o.textPointStyle,i,e)})).each((function(t){var e=t[0].trace,r=n.select(this).select("g.legendpoints").selectAll("path.legendcandle").data(e.visible&&"candlestick"===e.type?[t,t]:[]);r.enter().append("path").classed("legendcandle",!0).attr("d",(function(t,e){return e?"M-15,0H-8M-8,6V-6H8Z":"M15,0H8M8,-6V6H-8Z"})).attr("transform","translate(20,0)").style("stroke-miterlimit",1),r.exit().remove(),r.each((function(t,r){var i=n.select(this),a=e[r?"increasing":"decreasing"],o=g(void 0,a.line,5,2);i.style("stroke-width",o+"px").call(s.fill,a.fillcolor),o&&s.stroke(i,a.line.color)}))})).each((function(t){var e=t[0].trace,r=n.select(this).select("g.legendpoints").selectAll("path.legendohlc").data(e.visible&&"ohlc"===e.type?[t,t]:[]);r.enter().append("path").classed("legendohlc",!0).attr("d",(function(t,e){return e?"M-15,0H0M-8,-6V0":"M15,0H0M8,6V0"})).attr("transform","translate(20,0)").style("stroke-miterlimit",1),r.exit().remove(),r.each((function(t,r){var i=n.select(this),a=e[r?"increasing":"decreasing"],l=g(void 0,a.line,5,2);i.style("fill","none").call(o.dashLine,a.line.dash,l),l&&s.stroke(i,a.line.color)}))}))}},{"../../lib":750,"../../registry":882,"../../traces/pie/helpers":1137,"../../traces/pie/style_one":1143,"../../traces/scatter/subtypes":1183,"../color":615,"../colorscale/helpers":626,"../drawing":637,d3:169}],674:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../plots/plots"),a=t("../../plots/cartesian/axis_ids"),o=t("../../fonts/ploticon"),s=t("../shapes/draw").eraseActiveShape,l=t("../../lib"),c=l._,u=e.exports={};function h(t,e){var r,i,o=e.currentTarget,s=o.getAttribute("data-attr"),l=o.getAttribute("data-val")||!0,c=t._fullLayout,u={},h=a.list(t,null,!0),f=c._cartesianSpikesEnabled;if("zoom"===s){var p,d="in"===l?.5:2,g=(1+d)/2,m=(1-d)/2;for(i=0;i<h.length;i++)if(!(r=h[i]).fixedrange)if(p=r._name,"auto"===l)u[p+".autorange"]=!0;else if("reset"===l){if(void 0===r._rangeInitial)u[p+".autorange"]=!0;else{var v=r._rangeInitial.slice();u[p+".range[0]"]=v[0],u[p+".range[1]"]=v[1]}void 0!==r._showSpikeInitial&&(u[p+".showspikes"]=r._showSpikeInitial,"on"!==f||r._showSpikeInitial||(f="off"))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],x=[g*y[0]+m*y[1],g*y[1]+m*y[0]];u[p+".range[0]"]=r.l2r(x[0]),u[p+".range[1]"]=r.l2r(x[1])}}else"hovermode"!==s||"x"!==l&&"y"!==l||(l=c._isHoriz?"y":"x",o.setAttribute("data-val",l)),u[s]=l;c._cartesianSpikesEnabled=f,n.call("_guiRelayout",t,u)}function f(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout._subplots.gl3d||[],s={},l=i.split("."),c=0;c<o.length;c++)s[o[c]+"."+l[1]]=a;var u="pan"===a?a:"zoom";s.dragmode=u,n.call("_guiRelayout",t,s)}function p(t,e){for(var r=e.currentTarget.getAttribute("data-attr"),i="resetLastSave"===r,a="resetDefault"===r,o=t._fullLayout,s=o._subplots.gl3d||[],l={},c=0;c<s.length;c++){var u,h=s[c],f=h+".camera",p=h+".aspectratio",d=h+".aspectmode",g=o[h]._scene;i?(l[f+".up"]=g.viewInitial.up,l[f+".eye"]=g.viewInitial.eye,l[f+".center"]=g.viewInitial.center,u=!0):a&&(l[f+".up"]=null,l[f+".eye"]=null,l[f+".center"]=null,u=!0),u&&(l[p+".x"]=g.viewInitial.aspectratio.x,l[p+".y"]=g.viewInitial.aspectratio.y,l[p+".z"]=g.viewInitial.aspectratio.z,l[d]=g.viewInitial.aspectmode)}n.call("_guiRelayout",t,l)}function d(t,e){var r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=["xaxis","yaxis","zaxis"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var c=0;c<a.length;c++){var u=a[c],h=i[u],f=u+".hovermode";s[f]=h.hovermode,l[f]=!1;for(var p=0;p<3;p++){var d=o[p],g=u+"."+d+".showspikes";l[g]=!1,s[g]=h[d].showspikes}}r._previousVal=s}return l}function g(t,e){for(var r=e.currentTarget,i=r.getAttribute("data-attr"),a=r.getAttribute("data-val")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var c=s[l],u=o[c];if("zoom"===i){var h=u.projection.scale,f="in"===a?2*h:.5*h;n.call("_guiRelayout",t,c+".projection.scale",f)}}"reset"===i&&x(t,"geo")}function m(t){var e=t._fullLayout;return!e.hovermode&&(e._has("cartesian")?e._isHoriz?"y":"x":"closest")}function v(t){var e=m(t);n.call("_guiRelayout",t,"hovermode",e)}function y(t,e){for(var r=e.currentTarget.getAttribute("data-val"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],c=i[l].zoom,u="in"===r?1.05*c:c/1.05;o[l+".zoom"]=u}n.call("_guiRelayout",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,c=Object.keys(l),u=0;u<c.length;u++){var h=c[u];a[s+"."+h]=l[h]}n.call("_guiRelayout",t,a)}u.toImage={name:"toImage",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||"png";return c(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(c(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(c(t,"IE only supports svg.  Changing format to svg."),"long"),r.format="svg"),["filename","width","height","scale"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call("downloadImage",t,r).then((function(e){l.notifier(c(t,"Snapshot succeeded")+" - "+e,"long")})).catch((function(){l.notifier(c(t,"Sorry, there was a problem downloading your snapshot!"),"long")}))}},u.sendDataToCloud={name:"sendDataToCloud",title:function(t){return c(t,"Edit in Chart Studio")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},u.editInChartStudio={name:"editInChartStudio",title:function(t){return c(t,"Edit in Chart Studio")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},u.zoom2d={name:"zoom2d",title:function(t){return c(t,"Zoom")},attr:"dragmode",val:"zoom",icon:o.zoombox,click:h},u.pan2d={name:"pan2d",title:function(t){return c(t,"Pan")},attr:"dragmode",val:"pan",icon:o.pan,click:h},u.select2d={name:"select2d",title:function(t){return c(t,"Box Select")},attr:"dragmode",val:"select",icon:o.selectbox,click:h},u.lasso2d={name:"lasso2d",title:function(t){return c(t,"Lasso Select")},attr:"dragmode",val:"lasso",icon:o.lasso,click:h},u.drawclosedpath={name:"drawclosedpath",title:function(t){return c(t,"Draw closed freeform")},attr:"dragmode",val:"drawclosedpath",icon:o.drawclosedpath,click:h},u.drawopenpath={name:"drawopenpath",title:function(t){return c(t,"Draw open freeform")},attr:"dragmode",val:"drawopenpath",icon:o.drawopenpath,click:h},u.drawline={name:"drawline",title:function(t){return c(t,"Draw line")},attr:"dragmode",val:"drawline",icon:o.drawline,click:h},u.drawrect={name:"drawrect",title:function(t){return c(t,"Draw rectangle")},attr:"dragmode",val:"drawrect",icon:o.drawrect,click:h},u.drawcircle={name:"drawcircle",title:function(t){return c(t,"Draw circle")},attr:"dragmode",val:"drawcircle",icon:o.drawcircle,click:h},u.eraseshape={name:"eraseshape",title:function(t){return c(t,"Erase active shape")},icon:o.eraseshape,click:s},u.zoomIn2d={name:"zoomIn2d",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:h},u.zoomOut2d={name:"zoomOut2d",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:h},u.autoScale2d={name:"autoScale2d",title:function(t){return c(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:h},u.resetScale2d={name:"resetScale2d",title:function(t){return c(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:h},u.hoverClosestCartesian={name:"hoverClosestCartesian",title:function(t){return c(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:h},u.hoverCompareCartesian={name:"hoverCompareCartesian",title:function(t){return c(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:h},u.zoom3d={name:"zoom3d",title:function(t){return c(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:f},u.pan3d={name:"pan3d",title:function(t){return c(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:f},u.orbitRotation={name:"orbitRotation",title:function(t){return c(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:f},u.tableRotation={name:"tableRotation",title:function(t){return c(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:f},u.resetCameraDefault3d={name:"resetCameraDefault3d",title:function(t){return c(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},u.resetCameraLastSave3d={name:"resetCameraLastSave3d",title:function(t){return c(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},u.hoverClosest3d={name:"hoverClosest3d",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},u.zoomInGeo={name:"zoomInGeo",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:g},u.zoomOutGeo={name:"zoomOutGeo",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:g},u.resetGeo={name:"resetGeo",title:function(t){return c(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:g},u.hoverClosestGeo={name:"hoverClosestGeo",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestPie={name:"hoverClosestPie",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(t){return c(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},u.toggleHover={name:"toggleHover",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call("_guiRelayout",t,r)}},u.resetViews={name:"resetViews",title:function(t){return c(t,"Reset views")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute("data-attr","zoom"),r.setAttribute("data-val","reset"),h(t,e),r.setAttribute("data-attr","resetLastSave"),p(t,e),x(t,"geo"),x(t,"mapbox")}},u.toggleSpikelines={name:"toggleSpikelines",title:function(t){return c(t,"Toggle Spike Lines")},icon:o.spikeline,attr:"_cartesianSpikesEnabled",val:"on",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled="on"===r?"off":"on",n.call("_guiRelayout",t,function(t){for(var e="on"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+".showspikes"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:"resetViewMapbox",title:function(t){return c(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":729,"../../lib":750,"../../plots/cartesian/axis_ids":802,"../../plots/plots":862,"../../registry":882,"../shapes/draw":696}],675:[function(t,e,r){"use strict";r.manage=t("./manage")},{"./manage":676}],676:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_ids"),i=t("../../traces/scatter/subtypes"),a=t("../../registry"),o=t("../fx/helpers").isUnifiedHover,s=t("./modebar"),l=t("./buttons");e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error(["*modeBarButtonsToRemove* configuration options","must be an array."].join(" "));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error(["*modeBarButtonsToAdd* configuration options","must be an array."].join(" "));var h,f=r.modeBarButtons;h=Array.isArray(f)&&f.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if("string"==typeof i){if(void 0===l[i])throw new Error(["*modeBarButtons* configuration options","invalid button name"].join(" "));t[e][n]=l[i]}}return t}(f):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context,u=s.modeBarButtonsToRemove,h=s.modeBarButtonsToAdd,f=e._has("cartesian"),p=e._has("gl3d"),d=e._has("geo"),g=e._has("pie"),m=e._has("funnelarea"),v=e._has("gl2d"),y=e._has("ternary"),x=e._has("mapbox"),b=e._has("polar"),_=e._has("sankey"),w=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),T=o(e.hovermode),k=[];function M(t){if(t.length){for(var e=[],r=0;r<t.length;r++){var n=t[r];-1===u.indexOf(n)&&e.push(l[n])}k.push(e)}}var A=["toImage"];s.showEditInChartStudio?A.push("editInChartStudio"):s.showSendToCloud&&A.push("sendDataToCloud");M(A);var S=[],E=[],C=[],L=[];(f||v||g||m||y)+d+p+x+b>1?(E=["toggleHover"],C=["resetViews"]):d?(S=["zoomInGeo","zoomOutGeo"],E=["hoverClosestGeo"],C=["resetGeo"]):p?(E=["hoverClosest3d"],C=["resetCameraDefault3d","resetCameraLastSave3d"]):x?(S=["zoomInMapbox","zoomOutMapbox"],E=["toggleHover"],C=["resetViewMapbox"]):v?E=["hoverClosestGl2d"]:g?E=["hoverClosestPie"]:_?(E=["hoverClosestCartesian","hoverCompareCartesian"],C=["resetViewSankey"]):E=["toggleHover"];f&&(E=["toggleSpikelines","hoverClosestCartesian","hoverCompareCartesian"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],"noHover"))return!1;return!0}(r)||T)&&(E=[]);!f&&!v||w||(S=["zoomIn2d","zoomOut2d","autoScale2d"],"resetViews"!==C[0]&&(C=["resetScale2d"]));p?L=["zoom3d","pan3d","orbitRotation","tableRotation"]:(f||v)&&!w||y?L=["zoom2d","pan2d"]:x||d?L=["pan2d"]:b&&(L=["zoom2d"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e})(r)&&L.push("select2d","lasso2d");if(Array.isArray(h)){for(var P=[],I=0;I<h.length;I++){var z=h[I];"string"==typeof z?-1!==c.indexOf(z)&&(e._has("mapbox")||e._has("cartesian"))&&L.push(z):P.push(z)}h=P}return M(L),M(S.concat(C)),M(E),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(k,h)}(t),u?u.update(t,h):e._modeBar=s(t,h)}else u&&(u.destroy(),delete e._modeBar)};var c=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"]},{"../../plots/cartesian/axis_ids":802,"../../registry":882,"../../traces/scatter/subtypes":1183,"../fx/helpers":651,"./buttons":674,"./modebar":677}],677:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../fonts/ploticon"),s=new DOMParser;function l(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=l.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover ":"";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+"#"+i+" .modebar-group","background-color: "+o.bgcolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn .icon path","fill: "+o.color),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn:hover .icon path","fill: "+o.activecolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn.active .icon path","fill: "+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var h=this.getLogo();r.watermark&&(h.className=h.className+" watermark"),"v"===n.modebar.orientation?this.element.insertBefore(h,this.element.childNodes[0]):this.element.appendChild(h),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error("must provide button 'name' in button config");if(-1!==e.buttonsNames.indexOf(n))throw new Error("button name '"+n+"' is taken");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement("div");return t.className="modebar-group",t},c.createButton=function(t){var e=this,r=document.createElement("a");r.setAttribute("rel","tooltip"),r.className="modebar-btn";var i=t.title;void 0===i?i=t.name:"function"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute("data-title",i),void 0!==t.attr&&r.setAttribute("data-attr",t.attr);var a=t.val;if(void 0!==a&&("function"==typeof a&&(a=a(this.graphInfo)),r.setAttribute("data-val",a)),"function"!=typeof t.click)throw new Error("must provide button 'click' function in button config");r.addEventListener("click",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute("data-toggle",t.toggle||!1),t.toggle&&n.select(r).classed("active",!0);var s=t.icon;return"function"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute("data-gravity",t.gravity||"n"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n="http://www.w3.org/2000/svg";if(t.path){(e=document.createElementNS(n,"svg")).setAttribute("viewBox",[0,0,t.width,r].join(" ")),e.setAttribute("class","icon");var a=document.createElementNS(n,"path");a.setAttribute("d",t.path),t.transform?a.setAttribute("transform",t.transform):void 0!==t.ascent&&a.setAttribute("transform","matrix(1 0 0 -1 0 "+t.ascent+")"),e.appendChild(a)}t.svg&&(e=s.parseFromString(t.svg,"application/xml").childNodes[0]);return e.setAttribute("height","1em"),e.setAttribute("width","1em"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed("active",c===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly")),e.className="modebar-btn plotlyjsicon modebar-btn--logo",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(".modebar")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new l({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append("span").classed("badge-private float--left",!0).text("PRIVATE"),i}},{"../../fonts/ploticon":729,"../../lib":750,d3:169,"fast-isnumeric":241}],678:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=(0,t("../../plot_api/plot_template").templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});e.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},{"../../plot_api/plot_template":788,"../../plots/font_attributes":827,"../color/attributes":614}],679:[function(t,e,r){"use strict";e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},{}],680:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color"),a=t("../../plot_api/plot_template"),o=t("../../plots/array_container_defaults"),s=t("./attributes"),l=t("./constants");function c(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o("visible")){var l=o("step");"all"!==l&&(!a||"gregorian"===a||"month"!==l&&"year"!==l?o("stepmode"):e.stepmode="backward",o("count")),o("label")}}e.exports=function(t,e,r,u,h){var f=t.rangeselector||{},p=a.newContainer(e,"rangeselector");function d(t,e){return n.coerce(f,p,s,t,e)}if(d("visible",o(f,p,{name:"buttons",handleItemDefaults:c,calendar:h}).length>0)){var g=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,u);d("x",g[0]),d("y",g[1]),n.noneOrAll(t,e,["x","y"]),d("xanchor"),d("yanchor"),n.coerceFont(d,"font",r.font);var m=d("bgcolor");d("activecolor",i.contrast(m,l.lightAmount,l.darkAmount)),d("bordercolor"),d("borderwidth")}}},{"../../lib":750,"../../plot_api/plot_template":788,"../../plots/array_container_defaults":794,"../color":615,"./attributes":678,"./constants":679}],681:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../color"),s=t("../drawing"),l=t("../../lib"),c=t("../../lib/svg_text_utils"),u=t("../../plots/cartesian/axis_ids"),h=t("../../constants/alignment"),f=h.LINE_SPACING,p=h.FROM_TL,d=h.FROM_BR,g=t("./constants"),m=t("./get_update_object");function v(t){return t._id}function y(t,e,r){var n=l.ensureSingle(t,"rect","selector-rect",(function(t){t.attr("shape-rendering","crispEdges")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style("stroke-width",e.borderwidth+"px")}function x(t,e,r,n){l.ensureSingle(t,"text","selector-text",(function(t){t.attr("text-anchor","middle")})).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,e):t.label;return"all"===t.step?"all":t.count+t.step.charAt(0)}(r,n._fullLayout._meta)).call((function(t){c.convertToTspans(t,n)}))}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=u.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),v);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var r=n.select(this),o=e,u=o.rangeselector,h=r.selectAll("g.button").data(l.filterVisible(u.buttons));h.enter().append("g").classed("button",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=m(o,e);e._isActive=function(t,e,r){if("all"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(y,u,e),r.call(x,u,e,t),r.on("click",(function(){t._dragged||i.call("_guiRelayout",t,a)})),r.on("mouseover",(function(){e._isHovered=!0,r.call(y,u,e)})),r.on("mouseout",(function(){e._isHovered=!1,r.call(y,u,e)}))})),function(t,e,r,i,o){var u=0,h=0,m=r.borderwidth;e.each((function(){var t=n.select(this).select(".selector-text"),e=r.font.size*f,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(".selector-rect"),i=t.select(".selector-text"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*f,l=c.lineCount(i),p=Math.max(a+10,g.minButtonWidth);t.attr("transform","translate("+(m+u)+","+m+")"),e.attr({x:0,y:0,width:p,height:h}),c.positionText(i,p/2,h/2-(l-1)*o/2+3),u+=p+5}));var v=t._fullLayout._size,y=v.l+v.w*r.x,x=v.t+v.h*(1-r.y),b="left";l.isRightAnchor(r)&&(y-=u,b="right");l.isCenterAnchor(r)&&(y-=u/2,b="center");var _="top";l.isBottomAnchor(r)&&(x-=h,_="bottom");l.isMiddleAnchor(r)&&(x-=h/2,_="middle");u=Math.ceil(u),h=Math.ceil(h),y=Math.round(y),x=Math.round(x),a.autoMargin(t,i+"-range-selector",{x:r.x,y:r.y,l:u*p[b],r:u*d[b],b:h*d[_],t:h*p[_]}),o.attr("transform","translate("+y+","+x+")")}(t,h,u,o._name,r)}))}},{"../../constants/alignment":717,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/cartesian/axis_ids":802,"../../plots/plots":862,"../../registry":882,"../color":615,"../drawing":637,"./constants":679,"./get_update_object":682,d3:169}],682:[function(t,e,r){"use strict";var n=t("d3");e.exports=function(t,e){var r=t._name,i={};if("all"===e.step)i[r+".autorange"]=!0;else{var a=function(t,e){var r,i=t.range,a=new Date(t.r2l(i[1])),o=e.step,s=e.count;switch(e.stepmode){case"backward":r=t.l2r(+n.time[o].utc.offset(a,-s));break;case"todate":var l=n.time[o].utc.offset(a,-s);r=t.l2r(+n.time[o].utc.ceil(l))}var c=i[1];return[r,c]}(t,e);i[r+".range[0]"]=a[0],i[r+".range[1]"]=a[1]}return i}},{d3:169}],683:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"rangeselector",schema:{subplots:{xaxis:{rangeselector:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),draw:t("./draw")}},{"./attributes":678,"./defaults":680,"./draw":681}],684:[function(t,e,r){"use strict";var n=t("../color/attributes");e.exports={bgcolor:{valType:"color",dflt:n.background,editType:"plot"},bordercolor:{valType:"color",dflt:n.defaultLine,editType:"plot"},borderwidth:{valType:"integer",dflt:0,min:0,editType:"plot"},autorange:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"range[0]":void 0,"range[1]":void 0}},range:{valType:"info_array",items:[{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"calc",impliedEdits:{"^autorange":!1}}],editType:"calc",impliedEdits:{autorange:!1}},thickness:{valType:"number",dflt:.15,min:0,max:1,editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"}},{"../color/attributes":614}],685:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_ids").list,i=t("../../plots/cartesian/autorange").getAutoRange,a=t("./constants");e.exports=function(t){for(var e=n(t,"x",!0),r=0;r<e.length;r++){var o=e[r],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},{"../../plots/cartesian/autorange":798,"../../plots/cartesian/axis_ids":802,"./constants":686}],686:[function(t,e,r){"use strict";e.exports={name:"rangeslider",containerClassName:"rangeslider-container",bgClassName:"rangeslider-bg",rangePlotClassName:"rangeslider-rangeplot",maskMinClassName:"rangeslider-mask-min",maskMaxClassName:"rangeslider-mask-max",slideBoxClassName:"rangeslider-slidebox",grabberMinClassName:"rangeslider-grabber-min",grabAreaMinClassName:"rangeslider-grabarea-min",handleMinClassName:"rangeslider-handle-min",grabberMaxClassName:"rangeslider-grabber-max",grabAreaMaxClassName:"rangeslider-grabarea-max",handleMaxClassName:"rangeslider-handle-max",maskMinOppAxisClassName:"rangeslider-mask-min-opp-axis",maskMaxOppAxisClassName:"rangeslider-mask-max-opp-axis",maskColor:"rgba(0,0,0,0.4)",maskOppAxisColor:"rgba(0,0,0,0.2)",slideBoxFill:"transparent",slideBoxCursor:"ew-resize",grabAreaFill:"transparent",grabAreaCursor:"col-resize",grabAreaWidth:10,handleWidth:4,handleRadius:1,handleStrokeWidth:1,extraPad:15}},{}],687:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plot_api/plot_template"),a=t("../../plots/cartesian/axis_ids"),o=t("./attributes"),s=t("./oppaxis_attributes");e.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,h,f=l.rangeslider,p=i.newContainer(c,"rangeslider");if(_("visible")){_("bgcolor",e.plot_bgcolor),_("bordercolor"),_("borderwidth"),_("thickness"),_("autorange",!c.isValidRange(f.range)),_("range");var d=e._subplots;if(d)for(var g=d.cartesian.filter((function(t){return t.substr(0,t.indexOf("y"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf("y"),t.length)})),m=n.simpleMap(g,a.id2name),v=0;v<m.length;v++){var y=m[v];u=f[y]||{},h=i.newContainer(p,y,"yaxis");var x,b=e[y];u.range&&b.isValidRange(u.range)&&(x="fixed"),"match"!==w("rangemode",x)&&w("range",b.range.slice())}p._input=f}}function _(t,e){return n.coerce(f,p,o,t,e)}function w(t,e){return n.coerce(u,h,s,t,e)}}},{"../../lib":750,"../../plot_api/plot_template":788,"../../plots/cartesian/axis_ids":802,"./attributes":684,"./oppaxis_attributes":691}],688:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=t("../drawing"),l=t("../color"),c=t("../titles"),u=t("../../plots/cartesian"),h=t("../../plots/cartesian/axis_ids"),f=t("../dragelement"),p=t("../../lib/setcursor"),d=t("./constants");function g(t,e,r,n){var i=o.ensureSingle(t,"rect",d.bgClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,l=-n._offsetShift,c=s.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:"translate("+l+","+l+")",fill:n.bgcolor,stroke:n.bordercolor,"stroke-width":c})}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,"clipPath",n._clipId,(function(t){t.append("rect").attr({x:0,y:0})})).select("rect").attr({width:n._width,height:n._height})}function v(t,e,r,i){var l,c=e.calcdata,f=t.selectAll("g."+d.rangePlotClassName).data(r._subplotsWith,o.identity);f.enter().append("g").attr("class",(function(t){return d.rangePlotClassName+" "+t})).call(s.setClipUrl,i._clipId,e),f.order(),f.exit().remove(),f.each((function(t,o){var s=n.select(this),f=0===o,p=h.getFromId(e,t,"y"),d=p._name,g=i[d],m={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(m.layout.xaxis.rangebreaks=r.rangebreaks),m.layout[d]={type:p.type,domain:[0,1],range:"match"!==g.rangemode?g.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(m.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(m);var v=m._fullLayout.xaxis,y=m._fullLayout[d];v.clearCalc(),v.setScale(),y.clearCalc(),y.setScale();var x={id:t,plotgroup:s,xaxis:v,yaxis:y,isRangePlot:!0};f?l=x:(x.mainplot="xy",x.mainplotinfo=l),u.rangePlot(e,x,function(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&&r.push(i)}return r}(c,t))}))}function y(t,e,r,n,i){(o.ensureSingle(t,"rect",d.maskMinClassName,(function(t){t.attr({x:0,y:0,"shape-rendering":"crispEdges"})})).attr("height",n._height).call(l.fill,d.maskColor),o.ensureSingle(t,"rect",d.maskMaxClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("height",n._height).call(l.fill,d.maskColor),"match"!==i.rangemode)&&(o.ensureSingle(t,"rect",d.maskMinOppAxisClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",n._width).call(l.fill,d.maskOppAxisColor),o.ensureSingle(t,"rect",d.maskMaxOppAxisClassName,(function(t){t.attr({y:0,"shape-rendering":"crispEdges"})})).attr("width",n._width).style("border-top",d.maskOppBorder).call(l.fill,d.maskOppAxisColor))}function x(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,"rect",d.slideBoxClassName,(function(t){t.attr({y:0,cursor:d.slideBoxCursor,"shape-rendering":"crispEdges"})})).attr({height:n._height,fill:d.slideBoxFill})}function b(t,e,r,n){var i=o.ensureSingle(t,"g",d.grabberMinClassName),a=o.ensureSingle(t,"g",d.grabberMaxClassName),s={x:0,width:d.handleWidth,rx:d.handleRadius,fill:l.background,stroke:l.defaultLine,"stroke-width":d.handleStrokeWidth,"shape-rendering":"crispEdges"},c={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,"rect",d.handleMinClassName,(function(t){t.attr(s)})).attr(c),o.ensureSingle(a,"rect",d.handleMaxClassName,(function(t){t.attr(s)})).attr(c);var u={width:d.grabAreaWidth,x:0,y:0,fill:d.grabAreaFill,cursor:e._context.staticPlot?void 0:d.grabAreaCursor};o.ensureSingle(i,"rect",d.grabAreaMinClassName,(function(t){t.attr(u)})).attr("height",n._height),o.ensureSingle(a,"rect",d.grabAreaMaxClassName,(function(t){t.attr(u)})).attr("height",n._height)}e.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var s=r[a][d.name];s._clipId=s._id+"-"+e._uid}var l=e._infolayer.selectAll("g."+d.containerClassName).data(r,(function(t){return t._name}));l.exit().each((function(t){var r=t[d.name];e._topdefs.select("#"+r._clipId).remove()})).remove(),0!==r.length&&(l.enter().append("g").classed(d.containerClassName,!0).attr("pointer-events","all"),l.each((function(r){var a=n.select(this),s=r[d.name],l=e[h.id2name(r.anchor)],u=s[h.id2name(r.anchor)];if(s.range){var _,w=o.simpleMap(s.range,r.r2l),T=o.simpleMap(r.range,r.r2l);_=T[0]<T[1]?[Math.min(w[0],T[0]),Math.max(w[1],T[1])]:[Math.max(w[0],T[0]),Math.min(w[1],T[1])],s.range=s._input.range=o.simpleMap(_,r.l2r)}r.cleanRange("rangeslider.range");var k=e._size,M=r.domain;s._width=k.w*(M[1]-M[0]);var A=Math.round(k.l+k.w*M[0]),S=Math.round(k.t+k.h*(1-r._counterDomainMin)+("bottom"===r.side?r._depth:0)+s._offsetShift+d.extraPad);a.attr("transform","translate("+A+","+S+")"),s._rl=o.simpleMap(s.range,r.r2l);var E=s._rl[0],C=s._rl[1],L=C-E;if(s.p2d=function(t){return t/s._width*L+E},s.d2p=function(t){return(t-E)/L*s._width},r.rangebreaks){var P=r.locateBreaks(E,C);if(P.length){var I,z,O=0;for(I=0;I<P.length;I++)O+=(z=P[I]).max-z.min;var D=s._width/(C-E-O),R=[-D*E];for(I=0;I<P.length;I++)z=P[I],R.push(R[R.length-1]-D*(z.max-z.min));for(s.d2p=function(t){for(var e=R[0],r=0;r<P.length;r++){var n=P[r];if(t>=n.max)e=R[r+1];else if(t<n.min)break}return e+D*t},I=0;I<P.length;I++)(z=P[I]).pmin=s.d2p(z.min),z.pmax=s.d2p(z.max);s.p2d=function(t){for(var e=R[0],r=0;r<P.length;r++){var n=P[r];if(t>=n.pmax)e=R[r+1];else if(t<n.pmin)break}return(t-e)/D}}}if("match"!==u.rangemode){var F=l.r2l(u.range[0]),B=l.r2l(u.range[1])-F;s.d2pOppAxis=function(t){return(t-F)/B*s._height}}a.call(g,t,r,s).call(m,t,r,s).call(v,t,r,s).call(y,t,r,s,u).call(x,t,r,s).call(b,t,r,s),function(t,e,r,a){if(e._context.staticPlot)return;var s=t.select("rect."+d.slideBoxClassName).node(),l=t.select("rect."+d.grabAreaMinClassName).node(),c=t.select("rect."+d.grabAreaMaxClassName).node();function u(){var u=n.event,h=u.target,d=u.clientX||u.touches[0].clientX,g=d-t.node().getBoundingClientRect().left,m=a.d2p(r._rl[0]),v=a.d2p(r._rl[1]),y=f.coverSlip();function x(t){var u,f,x,b=+(t.clientX||t.touches[0].clientX)-d;switch(h){case s:x="ew-resize",u=m+b,f=v+b;break;case l:x="col-resize",u=m+b,f=v;break;case c:x="col-resize",u=m,f=v+b;break;default:x="ew-resize",u=g,f=g+b}if(f<u){var _=f;f=u,u=_}a._pixelMin=u,a._pixelMax=f,p(n.select(y),x),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call("_guiRelayout",e,r._name+".range",[s,l])}))}(0,e,r,a)}function b(){y.removeEventListener("mousemove",x),y.removeEventListener("mouseup",b),this.removeEventListener("touchmove",x),this.removeEventListener("touchend",b),o.removeElement(y)}this.addEventListener("touchmove",x),this.addEventListener("touchend",b),y.addEventListener("mousemove",x),y.addEventListener("mouseup",b)}t.on("mousedown",u),t.on("touchstart",u)}(a,t,r,s),function(t,e,r,n,i,a){var s=d.handleWidth/2;function l(t){return o.constrain(t,0,n._width)}function c(t){return o.constrain(t,0,n._height)}function u(t){return o.constrain(t,-s,n._width+s)}var h=l(n.d2p(r._rl[0])),f=l(n.d2p(r._rl[1]));if(t.select("rect."+d.slideBoxClassName).attr("x",h).attr("width",f-h),t.select("rect."+d.maskMinClassName).attr("width",h),t.select("rect."+d.maskMaxClassName).attr("x",f).attr("width",n._width-f),"match"!==a.rangemode){var p=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select("rect."+d.maskMinOppAxisClassName).attr("x",h).attr("height",p).attr("width",f-h),t.select("rect."+d.maskMaxOppAxisClassName).attr("x",h).attr("y",g).attr("height",n._height-g).attr("width",f-h),t.select("rect."+d.slideBoxClassName).attr("y",p).attr("height",g-p)}var m=Math.round(u(h-s))-.5,v=Math.round(u(f-s))+.5;t.select("g."+d.grabberMinClassName).attr("transform","translate("+m+",0.5)"),t.select("g."+d.grabberMaxClassName).attr("transform","translate("+v+",0.5)")}(a,0,r,s,l,u),"bottom"===r.side&&c.draw(t,r._id+"title",{propContainer:r,propName:r._name+".title",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:S+s._height+s._offsetShift+10+1.5*r.title.font.size,"text-anchor":"middle"}})})))}},{"../../lib":750,"../../lib/setcursor":770,"../../plots/cartesian":812,"../../plots/cartesian/axis_ids":802,"../../plots/plots":862,"../../registry":882,"../color":615,"../dragelement":634,"../drawing":637,"../titles":710,"./constants":686,d3:169}],689:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axis_ids"),i=t("../../lib/svg_text_utils"),a=t("./constants"),o=t("../../constants/alignment").LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}r.isVisible=l,r.makeData=function(t){var e=n.list({_fullLayout:t},"x",!0),r=t.margin,i=[];if(!t._has("gl2d"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var c=o[s];c._id=s+o._id,c._height=(t.height-r.b-r.t)*c.thickness,c._offsetShift=Math.floor(c.borderwidth/2)}}t._rangeSliderData=i},r.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;"bottom"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o));return{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},{"../../constants/alignment":717,"../../lib/svg_text_utils":774,"../../plots/cartesian/axis_ids":802,"./constants":686}],690:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./oppaxis_attributes"),o=t("./helpers");e.exports={moduleType:"component",name:"rangeslider",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),calcAutorange:t("./calc_autorange"),draw:t("./draw"),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},{"../../lib":750,"./attributes":684,"./calc_autorange":685,"./defaults":687,"./draw":688,"./helpers":689,"./oppaxis_attributes":691}],691:[function(t,e,r){"use strict";e.exports={_isSubplotObj:!0,rangemode:{valType:"enumerated",values:["auto","fixed","match"],dflt:"match",editType:"calc"},range:{valType:"info_array",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},editType:"calc"}},{}],692:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../traces/scatter/attributes").line,a=t("../drawing/attributes").dash,o=t("../../lib/extend").extendFlat,s=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=s("shape",{visible:{valType:"boolean",dflt:!0,editType:"calc+arraydraw"},type:{valType:"enumerated",values:["circle","rect","path","line"],editType:"calc+arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},xref:o({},n.xref,{}),xsizemode:{valType:"enumerated",values:["scaled","pixel"],dflt:"scaled",editType:"calc+arraydraw"},xanchor:{valType:"any",editType:"calc+arraydraw"},x0:{valType:"any",editType:"calc+arraydraw"},x1:{valType:"any",editType:"calc+arraydraw"},yref:o({},n.yref,{}),ysizemode:{valType:"enumerated",values:["scaled","pixel"],dflt:"scaled",editType:"calc+arraydraw"},yanchor:{valType:"any",editType:"calc+arraydraw"},y0:{valType:"any",editType:"calc+arraydraw"},y1:{valType:"any",editType:"calc+arraydraw"},path:{valType:"string",editType:"calc+arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},line:{color:o({},i.color,{editType:"arraydraw"}),width:o({},i.width,{editType:"calc+arraydraw"}),dash:o({},a,{editType:"arraydraw"}),editType:"calc+arraydraw"},fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"arraydraw"},fillrule:{valType:"enumerated",values:["evenodd","nonzero"],dflt:"evenodd",editType:"arraydraw"},editable:{valType:"boolean",dflt:!1,editType:"calc+arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":718,"../../lib/extend":740,"../../plot_api/plot_template":788,"../../traces/scatter/attributes":1158,"../annotations/attributes":598,"../drawing/attributes":636}],693:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("./constants"),o=t("./helpers");function s(t){return c(t.line.width,t.xsizemode,t.x0,t.x1,t.path,!1)}function l(t){return c(t.line.width,t.ysizemode,t.y0,t.y1,t.path,!0)}function c(t,e,r,i,s,l){var c=t/2,u=l;if("pixel"===e){var h=s?o.extractPathCoords(s,l?a.paramIsY:a.paramIsX):[r,i],f=n.aggNums(Math.max,null,h),p=n.aggNums(Math.min,null,h),d=p<0?Math.abs(p)+c:c,g=f>0?f+c:c;return{ppad:c,ppadplus:u?d:g,ppadminus:u?g:d}}return{ppad:c}}function u(t,e,r,n,i){var s="category"===t.type||"multicategory"===t.type?t.r2c:t.d2c;if(void 0!==e)return[s(e),s(r)];if(n){var l,c,u,h,f=1/0,p=-1/0,d=n.match(a.segmentRE);for("date"===t.type&&(s=o.decodeDate(s)),l=0;l<d.length;l++)void 0!==(c=i[d[l].charAt(0)].drawn)&&(!(u=d[l].substr(1).match(a.paramRE))||u.length<c||((h=s(u[c]))<f&&(f=h),h>p&&(p=h)));return p>=f?[f,p]:void 0}}e.exports=function(t){var e=t._fullLayout,r=n.filterVisible(e.shapes);if(r.length&&t._fullData.length)for(var o=0;o<r.length;o++){var c,h,f=r[o];f._extremes={};var p=i.getRefType(f.xref),d=i.getRefType(f.yref);if("paper"!==f.xref&&"domain"!==p){var g="pixel"===f.xsizemode?f.xanchor:f.x0,m="pixel"===f.xsizemode?f.xanchor:f.x1;(h=u(c=i.getFromId(t,f.xref),g,m,f.path,a.paramIsX))&&(f._extremes[c._id]=i.findExtremes(c,h,s(f)))}if("paper"!==f.yref&&"domain"!==d){var v="pixel"===f.ysizemode?f.yanchor:f.y0,y="pixel"===f.ysizemode?f.yanchor:f.y1;(h=u(c=i.getFromId(t,f.yref),v,y,f.path,a.paramIsY))&&(f._extremes[c._id]=i.findExtremes(c,h,l(f)))}}}},{"../../lib":750,"../../plots/cartesian/axes":799,"./constants":694,"./helpers":703}],694:[function(t,e,r){"use strict";e.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},{}],695:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./attributes"),s=t("./helpers");function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}if(a("visible")){var l=a("path"),c=a("type",l?"path":"rect");"path"!==e.type&&delete e.path,a("editable"),a("layer"),a("opacity"),a("fillcolor"),a("fillrule"),a("line.width")&&(a("line.color"),a("line.dash"));for(var u=a("xsizemode"),h=a("ysizemode"),f=["x","y"],p=0;p<2;p++){var d,g,m,v=f[p],y=v+"anchor",x="x"===v?u:h,b={_fullLayout:r},_=i.coerceRef(t,e,b,v,void 0,"paper");if("range"===i.getRefType(_)?((d=i.getFromId(b,_))._shapeIndices.push(e._index),m=s.rangeToShapePosition(d),g=s.shapePositionToRange(d)):g=m=n.identity,"path"!==c){var w=v+"0",T=v+"1",k=t[w],M=t[T];t[w]=g(t[w],!0),t[T]=g(t[T],!0),"pixel"===x?(a(w,0),a(T,10)):(i.coercePosition(e,b,a,_,w,.25),i.coercePosition(e,b,a,_,T,.75)),e[w]=m(e[w]),e[T]=m(e[T]),t[w]=k,t[T]=M}if("pixel"===x){var A=t[y];t[y]=g(t[y],!0),i.coercePosition(e,b,a,_,y,.25),e[y]=m(e[y]),t[y]=A}}"path"===c?a("path"):n.noneOrAll(t,e,["x0","x1","y0","y1"])}}e.exports=function(t,e){a(t,e,{name:"shapes",handleItemDefaults:l})}},{"../../lib":750,"../../plots/array_container_defaults":794,"../../plots/cartesian/axes":799,"./attributes":692,"./helpers":703}],696:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("./draw_newshape/helpers").readPaths,s=t("./draw_newshape/display_outlines"),l=t("../../plots/cartesian/handle_outline").clearOutlineControllers,c=t("../color"),u=t("../drawing"),h=t("../../plot_api/plot_template").arrayEditor,f=t("../dragelement"),p=t("../../lib/setcursor"),d=t("./constants"),g=t("./helpers");function m(t){var e=t._fullLayout;for(var r in e._shapeUpperLayer.selectAll("path").remove(),e._shapeLowerLayer.selectAll("path").remove(),e._plots){var n=e._plots[r].shapelayer;n&&n.selectAll("path").remove()}for(var i=0;i<e.shapes.length;i++)e.shapes[i].visible&&x(t,i)}function v(t){return!!t._fullLayout._drawing}function y(t){return!t._context.edits.shapePosition}function x(t,e){t._fullLayout._paperdiv.selectAll('.shapelayer [data-index="'+e+'"]').remove();var r=g.makeOptionsAndPlotinfo(t,e),l=r.options,x=r.plotinfo;if(l._input&&!1!==l.visible)if("below"!==l.layer)k(t._fullLayout._shapeUpperLayer);else if("paper"===l.xref||"paper"===l.yref)k(t._fullLayout._shapeLowerLayer);else{if(x._hadPlotinfo)k((x.mainplotinfo||x).shapelayer);else k(t._fullLayout._shapeLowerLayer)}function k(r){var k=_(t,l),M={"data-index":e,"fill-rule":l.fillrule,d:k},A=l.opacity,S=l.fillcolor,E=l.line.width?l.line.color:"rgba(0,0,0,0)",C=l.line.width,L=l.line.dash;C||!0!==l.editable||(C=5,L="solid");var P="Z"!==k[k.length-1],I=y(t)&&l.editable&&t._fullLayout._activeShapeIndex===e;I&&(S=P?"rgba(0,0,0,0)":t._fullLayout.activeshape.fillcolor,A=t._fullLayout.activeshape.opacity);var z,O=r.append("path").attr(M).style("opacity",A).call(c.stroke,E).call(c.fill,S).call(u.dashLine,L,C);if(b(O,t,l),(I||t._context.edits.shapePosition)&&(z=h(t.layout,"shapes",l)),I){O.style({cursor:"move"});var D={element:O.node(),plotinfo:x,gd:t,editHelpers:z,isActiveShape:!0},R=o(k,t);s(R,O,D)}else t._context.edits.shapePosition?function(t,e,r,o,s,l){var c,h,m,y,x,T,k,M,A,S,E,C,L,P,I,z,O="pixel"===r.xsizemode,D="pixel"===r.ysizemode,R="line"===r.type,F="path"===r.type,B=l.modifyItem,N=a.getFromId(t,r.xref),j=a.getRefType(r.xref),U=a.getFromId(t,r.yref),V=a.getRefType(r.yref),q=g.getDataToPixel(t,N,!1,j),H=g.getDataToPixel(t,U,!0,V),G=g.getPixelToData(t,N,!1,j),Y=g.getPixelToData(t,U,!0,V),W=R?function(){var t=Math.max(r.line.width,10),n=s.append("g").attr("data-index",o);n.append("path").attr("d",e.attr("d")).style({cursor:"move","stroke-width":t,"stroke-opacity":"0"});var i={"fill-opacity":"0"},a=Math.max(t/2,10);return n.append("circle").attr({"data-line-point":"start-point",cx:O?q(r.xanchor)+r.x0:q(r.x0),cy:D?H(r.yanchor)-r.y0:H(r.y0),r:a}).style(i).classed("cursor-grab",!0),n.append("circle").attr({"data-line-point":"end-point",cx:O?q(r.xanchor)+r.x1:q(r.x1),cy:D?H(r.yanchor)-r.y1:H(r.y1),r:a}).style(i).classed("cursor-grab",!0),n}():e,Z={element:W.node(),gd:t,prepFn:function(n){if(v(t))return;O&&(x=q(r.xanchor));D&&(T=H(r.yanchor));"path"===r.type?I=r.path:(c=O?r.x0:q(r.x0),h=D?r.y0:H(r.y0),m=O?r.x1:q(r.x1),y=D?r.y1:H(r.y1));c<m?(A=c,L="x0",S=m,P="x1"):(A=m,L="x1",S=c,P="x0");!D&&h<y||D&&h>y?(k=h,E="y0",M=y,C="y1"):(k=y,E="y1",M=h,C="y0");X(n),Q(s,r),function(t,e,r){var n=e.xref,i=e.yref,o=a.getFromId(r,n),s=a.getFromId(r,i),l="";"paper"===n||o.autorange||(l+=n);"paper"===i||s.autorange||(l+=i);u.setClipUrl(t,l?"clip"+r._fullLayout._uid+l:null,r)}(e,r,t),Z.moveFn="move"===z?J:K,Z.altKey=n.altKey},doneFn:function(){if(v(t))return;p(e),$(s),b(e,t,r),n.call("_guiRelayout",t,l.getUpdateObj())},clickFn:function(){if(v(t))return;$(s)}};function X(r){if(v(t))z=null;else if(R)z="path"===r.target.tagName?"move":"start-point"===r.target.attributes["data-line-point"].value?"resize-over-start-point":"resize-over-end-point";else{var n=Z.element.getBoundingClientRect(),i=n.right-n.left,a=n.bottom-n.top,o=r.clientX-n.left,s=r.clientY-n.top,l=!F&&i>10&&a>10&&!r.shiftKey?f.getCursor(o/i,1-s/a):"move";p(e,l),z=l.split("-")[0]}}function J(n,i){if("path"===r.type){var a=function(t){return t},o=a,l=a;O?B("xanchor",r.xanchor=G(x+n)):(o=function(t){return G(q(t)+n)},N&&"date"===N.type&&(o=g.encodeDate(o))),D?B("yanchor",r.yanchor=Y(T+i)):(l=function(t){return Y(H(t)+i)},U&&"date"===U.type&&(l=g.encodeDate(l))),B("path",r.path=w(I,o,l))}else O?B("xanchor",r.xanchor=G(x+n)):(B("x0",r.x0=G(c+n)),B("x1",r.x1=G(m+n))),D?B("yanchor",r.yanchor=Y(T+i)):(B("y0",r.y0=Y(h+i)),B("y1",r.y1=Y(y+i)));e.attr("d",_(t,r)),Q(s,r)}function K(n,i){if(F){var a=function(t){return t},o=a,l=a;O?B("xanchor",r.xanchor=G(x+n)):(o=function(t){return G(q(t)+n)},N&&"date"===N.type&&(o=g.encodeDate(o))),D?B("yanchor",r.yanchor=Y(T+i)):(l=function(t){return Y(H(t)+i)},U&&"date"===U.type&&(l=g.encodeDate(l))),B("path",r.path=w(I,o,l))}else if(R){if("resize-over-start-point"===z){var u=c+n,f=D?h-i:h+i;B("x0",r.x0=O?u:G(u)),B("y0",r.y0=D?f:Y(f))}else if("resize-over-end-point"===z){var p=m+n,d=D?y-i:y+i;B("x1",r.x1=O?p:G(p)),B("y1",r.y1=D?d:Y(d))}}else{var v=function(t){return-1!==z.indexOf(t)},b=v("n"),j=v("s"),V=v("w"),W=v("e"),Z=b?k+i:k,X=j?M+i:M,J=V?A+n:A,K=W?S+n:S;D&&(b&&(Z=k-i),j&&(X=M-i)),(!D&&X-Z>10||D&&Z-X>10)&&(B(E,r[E]=D?Z:Y(Z)),B(C,r[C]=D?X:Y(X))),K-J>10&&(B(L,r[L]=O?J:G(J)),B(P,r[P]=O?K:G(K)))}e.attr("d",_(t,r)),Q(s,r)}function Q(t,e){(O||D)&&function(){var r="path"!==e.type,n=t.selectAll(".visual-cue").data([0]);n.enter().append("path").attr({fill:"#fff","fill-rule":"evenodd",stroke:"#000","stroke-width":1}).classed("visual-cue",!0);var a=q(O?e.xanchor:i.midRange(r?[e.x0,e.x1]:g.extractPathCoords(e.path,d.paramIsX))),o=H(D?e.yanchor:i.midRange(r?[e.y0,e.y1]:g.extractPathCoords(e.path,d.paramIsY)));if(a=g.roundPositionForSharpStrokeRendering(a,1),o=g.roundPositionForSharpStrokeRendering(o,1),O&&D){var s="M"+(a-1-1)+","+(o-1-1)+"h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z";n.attr("d",s)}else if(O){var l="M"+(a-1-1)+","+(o-9-1)+"v18 h2 v-18 Z";n.attr("d",l)}else{var c="M"+(a-9-1)+","+(o-1-1)+"h18 v2 h-18 Z";n.attr("d",c)}}()}function $(t){t.selectAll(".visual-cue").remove()}f.init(Z),W.node().onmousemove=X}(t,O,l,e,r,z):!0===l.editable&&O.style("pointer-events",P||c.opacity(S)*A<=.5?"stroke":"all");O.node().addEventListener("click",(function(){return function(t,e){if(!y(t))return;var r=+e.node().getAttribute("data-index");if(r>=0){if(r===t._fullLayout._activeShapeIndex)return void T(t);t._fullLayout._activeShapeIndex=r,t._fullLayout._deactivateShape=T,m(t)}}(t,O)}))}}function b(t,e,r){var n=(r.xref+r.yref).replace(/paper/g,"").replace(/[xyz][1-9]* *domain/g,"");u.setClipUrl(t,n?"clip"+e._fullLayout._uid+n:null,e)}function _(t,e){var r,n,o,s,l,c,u,h,f=e.type,p=a.getRefType(e.xref),m=a.getRefType(e.yref),v=a.getFromId(t,e.xref),y=a.getFromId(t,e.yref),x=t._fullLayout._size;if(v?"domain"===p?n=function(t){return v._offset+v._length*t}:(r=g.shapePositionToRange(v),n=function(t){return v._offset+v.r2p(r(t,!0))}):n=function(t){return x.l+x.w*t},y?"domain"===m?s=function(t){return y._offset+y._length*(1-t)}:(o=g.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.t+x.h*(1-t)},"path"===f)return v&&"date"===v.type&&(n=g.decodeDate(n)),y&&"date"===y.type&&(s=g.decodeDate(s)),function(t,e,r){var n=t.path,a=t.xsizemode,o=t.ysizemode,s=t.xanchor,l=t.yanchor;return n.replace(d.segmentRE,(function(t){var n=0,c=t.charAt(0),u=d.paramIsX[c],h=d.paramIsY[c],f=d.numParams[c],p=t.substr(1).replace(d.paramRE,(function(t){return u[n]?t="pixel"===a?e(s)+Number(t):e(t):h[n]&&(t="pixel"===o?r(l)-Number(t):r(t)),++n>f&&(t="X"),t}));return n>f&&(p=p.replace(/[\s,]*X.*/,""),i.log("Ignoring extra params in segment "+t)),c+p}))}(e,n,s);if("pixel"===e.xsizemode){var b=n(e.xanchor);l=b+e.x0,c=b+e.x1}else l=n(e.x0),c=n(e.x1);if("pixel"===e.ysizemode){var _=s(e.yanchor);u=_-e.y0,h=_-e.y1}else u=s(e.y0),h=s(e.y1);if("line"===f)return"M"+l+","+u+"L"+c+","+h;if("rect"===f)return"M"+l+","+u+"H"+c+"V"+h+"H"+l+"Z";var w=(l+c)/2,T=(u+h)/2,k=Math.abs(w-l),M=Math.abs(T-u),A="A"+k+","+M,S=w+k+","+T;return"M"+S+A+" 0 1,1 "+(w+","+(T-M))+A+" 0 0,1 "+S+"Z"}function w(t,e,r){return t.replace(d.segmentRE,(function(t){var n=0,i=t.charAt(0),a=d.paramIsX[i],o=d.paramIsY[i],s=d.numParams[i];return i+t.substr(1).replace(d.paramRE,(function(t){return n>=s||(a[n]?t=e(t):o[n]&&(t=r(t)),n++),t}))}))}function T(t){y(t)&&(t._fullLayout._activeShapeIndex>=0&&(l(t),delete t._fullLayout._activeShapeIndex,m(t)))}e.exports={draw:m,drawOne:x,eraseActiveShape:function(t){if(!y(t))return;l(t);var e=t._fullLayout._activeShapeIndex,r=(t.layout||{}).shapes||[];if(e<r.length){for(var i=[],a=0;a<r.length;a++)a!==e&&i.push(r[a]);delete t._fullLayout._activeShapeIndex,n.call("_guiRelayout",t,{shapes:i})}}}},{"../../lib":750,"../../lib/setcursor":770,"../../plot_api/plot_template":788,"../../plots/cartesian/axes":799,"../../plots/cartesian/handle_outline":809,"../../registry":882,"../color":615,"../dragelement":634,"../drawing":637,"./constants":694,"./draw_newshape/display_outlines":700,"./draw_newshape/helpers":701,"./helpers":703}],697:[function(t,e,r){"use strict";var n=t("../../drawing/attributes").dash,i=t("../../../lib/extend").extendFlat;e.exports={newshape:{line:{color:{valType:"color",editType:"none"},width:{valType:"number",min:0,dflt:4,editType:"none"},dash:i({},n,{dflt:"solid",editType:"none"}),editType:"none"},fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"none"},fillrule:{valType:"enumerated",values:["evenodd","nonzero"],dflt:"evenodd",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"none"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"none"},drawdirection:{valType:"enumerated",values:["ortho","horizontal","vertical","diagonal"],dflt:"diagonal",editType:"none"},editType:"none"},activeshape:{fillcolor:{valType:"color",dflt:"rgb(255,0,255)",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:.5,editType:"none"},editType:"none"}}},{"../../../lib/extend":740,"../../drawing/attributes":636}],698:[function(t,e,r){"use strict";e.exports={CIRCLE_SIDES:32,i000:0,i090:8,i180:16,i270:24,cos45:Math.cos(Math.PI/4),sin45:Math.sin(Math.PI/4),SQRT2:Math.sqrt(2)}},{}],699:[function(t,e,r){"use strict";var n=t("../../color");e.exports=function(t,e,r){if(r("newshape.drawdirection"),r("newshape.layer"),r("newshape.fillcolor"),r("newshape.fillrule"),r("newshape.opacity"),r("newshape.line.width")){var i=(t||{}).plot_bgcolor||"#FFF";r("newshape.line.color",n.contrast(i)),r("newshape.line.dash")}r("activeshape.fillcolor"),r("activeshape.opacity")}},{"../../color":615}],700:[function(t,e,r){"use strict";var n=t("../../dragelement"),i=t("../../dragelement/helpers").drawMode,a=t("../../../registry"),o=t("./constants"),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=t("../../../plots/cartesian/handle_outline").clearOutlineControllers,f=t("./helpers"),p=f.pointsShapeRectangle,d=f.pointsShapeEllipse,g=f.writePaths,m=t("./newshapes");e.exports=function t(e,r,o,f){f||(f=0);var v=o.gd;function y(){t(e,r,o,f++),d(e[0])&&x({redrawing:!0})}function x(t){o.isActiveShape=!1;var e=m(r,o);Object.keys(e).length&&a.call((t||{}).redrawing?"relayout":"_guiRelayout",v,e)}var b,_,w,T,k,M=o.isActiveShape,A=v._fullLayout._zoomlayer,S=o.dragmode;(i(S)?v._fullLayout._drawing=!0:v._fullLayout._activeShapeIndex>=0&&h(v),r.attr("d",g(e)),M&&!f)&&(k=function(t,e){for(var r=0;r<e.length;r++){var n=e[r];t[r]=[];for(var i=0;i<n.length;i++){t[r][i]=[];for(var a=0;a<n[i].length;a++)t[r][i][a]=n[i][a]}}return t}([],e),function(t){b=[];for(var r=0;r<e.length;r++){var i=e[r],a=!p(i)&&d(i);b[r]=[];for(var o=0;o<i.length;o++)if("Z"!==i[o][0]&&(!a||o===s||o===l||o===c||o===u)){var h=i[o][1],f=i[o][2],g=t.append("circle").classed("cursor-grab",!0).attr("data-i",r).attr("data-j",o).attr("cx",h).attr("cy",f).attr("r",4).style({"mix-blend-mode":"luminosity",fill:"black",stroke:"white","stroke-width":1});b[r][o]={element:g.node(),gd:v,prepFn:E,doneFn:L,clickFn:P},n.init(b[r][o])}}}(A.append("g").attr("class","outline-controllers")),function(){if(_=[],!e.length)return;_[0]={element:r[0][0],gd:v,prepFn:z,doneFn:O},n.init(_[0])}());function E(t){w=+t.srcElement.getAttribute("data-i"),T=+t.srcElement.getAttribute("data-j"),b[w][T].moveFn=C}function C(t,r){if(e.length){var n=k[w][T][1],i=k[w][T][2],a=e[w],o=a.length;if(p(a)){for(var s=0;s<o;s++)if(s!==T){var l=a[s];l[1]===a[T][1]&&(l[1]=n+t),l[2]===a[T][2]&&(l[2]=i+r)}if(a[T][1]=n+t,a[T][2]=i+r,!p(a))for(var c=0;c<o;c++)for(var u=0;u<a[c].length;u++)a[c][u]=k[w][c][u]}else a[T][1]=n+t,a[T][2]=i+r;y()}}function L(){x()}function P(t,r){if(2===t){w=+r.srcElement.getAttribute("data-i"),T=+r.srcElement.getAttribute("data-j");var n=e[w];p(n)||d(n)||function(){if(e.length&&e[w]&&e[w].length){for(var t=[],r=0;r<e[w].length;r++)r!==T&&t.push(e[w][r]);t.length>1&&(2!==t.length||"Z"!==t[1][0])&&(0===T&&(t[0][0]="M"),e[w]=t,y(),x())}}()}}function I(t,r){!function(t,r){if(e.length)for(var n=0;n<e.length;n++)for(var i=0;i<e[n].length;i++)for(var a=0;a+2<e[n][i].length;a+=2)e[n][i][a+1]=k[n][i][a+1]+t,e[n][i][a+2]=k[n][i][a+2]+r}(t,r),y()}function z(t){(w=+t.srcElement.getAttribute("data-i"))||(w=0),_[w].moveFn=I}function O(){x()}}},{"../../../plots/cartesian/handle_outline":809,"../../../registry":882,"../../dragelement":634,"../../dragelement/helpers":633,"./constants":698,"./helpers":701,"./newshapes":702}],701:[function(t,e,r){"use strict";var n=t("parse-svg-path"),i=t("./constants"),a=i.CIRCLE_SIDES,o=i.SQRT2,s=t("../../../plots/cartesian/helpers"),l=s.p2r,c=s.r2p,u=[0,3,4,5,6,1,2],h=[0,3,4,1,2];function f(t,e){return Math.abs(t-e)<=1e-6}function p(t,e){var r=e[1]-t[1],n=e[2]-t[2];return Math.sqrt(r*r+n*n)}r.writePaths=function(t){var e=t.length;if(!e)return"M0,0Z";for(var r="",n=0;n<e;n++)for(var i=t[n].length,a=0;a<i;a++){var o=t[n][a][0];if("Z"===o)r+="Z";else for(var s=t[n][a].length,l=0;l<s;l++){var c=l;"Q"===o||"S"===o?c=h[l]:"C"===o&&(c=u[l]),r+=t[n][a][c],l>0&&l<s-1&&(r+=",")}}return r},r.readPaths=function(t,e,r,i){var o,s,u,h=n(t),f=[],p=-1,d=0,g=0,m=function(){s=d,u=g};m();for(var v=0;v<h.length;v++){var y,x,b,_,w=[],T=h[v][0],k=T;switch(T){case"M":p++,f[p]=[],d=+h[v][1],g=+h[v][2],w.push([k,d,g]),m();break;case"Q":case"S":y=+h[v][1],b=+h[v][2],d=+h[v][3],g=+h[v][4],w.push([k,d,g,y,b]);break;case"C":y=+h[v][1],b=+h[v][2],x=+h[v][3],_=+h[v][4],d=+h[v][5],g=+h[v][6],w.push([k,d,g,y,b,x,_]);break;case"T":case"L":d=+h[v][1],g=+h[v][2],w.push([k,d,g]);break;case"H":k="L",d=+h[v][1],w.push([k,d,g]);break;case"V":k="L",g=+h[v][1],w.push([k,d,g]);break;case"A":k="L";var M=+h[v][1],A=+h[v][2];+h[v][4]||(M=-M,A=-A);var S=d-M,E=g;for(o=1;o<=a/2;o++){var C=2*Math.PI*o/a;w.push([k,S+M*Math.cos(C),E+A*Math.sin(C)])}break;case"Z":d===s&&g===u||(d=s,g=u,w.push([k,d,g]))}for(var L=(r||{}).domain,P=e._fullLayout._size,I=r&&"pixel"===r.xsizemode,z=r&&"pixel"===r.ysizemode,O=!1===i,D=0;D<w.length;D++){for(o=0;o+2<7;o+=2){var R=w[D][o+1],F=w[D][o+2];void 0!==R&&void 0!==F&&(d=R,g=F,r&&(r.xaxis&&r.xaxis.p2r?(O&&(R-=r.xaxis._offset),R=I?c(r.xaxis,r.xanchor)+R:l(r.xaxis,R)):(O&&(R-=P.l),L?R=L.x[0]+R/P.w:R/=P.w),r.yaxis&&r.yaxis.p2r?(O&&(F-=r.yaxis._offset),F=z?c(r.yaxis,r.yanchor)-F:l(r.yaxis,F)):(O&&(F-=P.t),F=L?L.y[1]-F/P.h:1-F/P.h)),w[D][o+1]=R,w[D][o+2]=F)}f[p].push(w[D].slice())}}return f},r.pointsShapeRectangle=function(t){if(5!==t.length)return!1;for(var e=1;e<3;e++){if(!f(t[0][e]-t[1][e],t[3][e]-t[2][e]))return!1;if(!f(t[0][e]-t[3][e],t[1][e]-t[2][e]))return!1}return!(!f(t[0][1],t[1][1])&&!f(t[0][1],t[3][1]))&&!!(p(t[0],t[1])*p(t[0],t[3]))},r.pointsShapeEllipse=function(t){var e=t.length;if(e!==a+1)return!1;e=a;for(var r=0;r<e;r++){var n=(2*e-r)%e,i=(e/2+n)%e,o=(e/2+r)%e;if(!f(p(t[r],t[o]),p(t[n],t[i])))return!1}return!0},r.handleEllipse=function(t,e,n){if(!t)return[e,n];var i=r.ellipseOver({x0:e[0],y0:e[1],x1:n[0],y1:n[1]}),s=(i.x1+i.x0)/2,l=(i.y1+i.y0)/2,c=(i.x1-i.x0)/2,u=(i.y1-i.y0)/2;c||(c=u/=o),u||(u=c/=o);for(var h=[],f=0;f<a;f++){var p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},r.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}}},{"../../../plots/cartesian/helpers":810,"./constants":698,"parse-svg-path":479}],702:[function(t,e,r){"use strict";var n=t("../../dragelement/helpers"),i=n.drawMode,a=n.openMode,o=t("./constants"),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=t("../../../plots/cartesian/helpers"),d=p.p2r,g=p.r2p,m=t("../../../plots/cartesian/handle_outline").clearSelect,v=t("./helpers"),y=v.readPaths,x=v.writePaths,b=v.ellipseOver;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var n=r.getAttribute("d"),o=e.gd,p=o._fullLayout.newshape,v=e.plotinfo,_=v.xaxis,w=v.yaxis,T=!!v.domain||!v.xaxis,k=!!v.domain||!v.yaxis,M=e.isActiveShape,A=e.dragmode,S=(o.layout||{}).shapes||[];if(!i(A)&&void 0!==M){var E=o._fullLayout._activeShapeIndex;if(E<S.length)switch(o._fullLayout.shapes[E].type){case"rect":A="drawrect";break;case"circle":A="drawcircle";break;case"line":A="drawline";break;case"path":var C=S[E].path||"";A="Z"===C[C.length-1]?"drawclosedpath":"drawopenpath"}}var L,P=a(A),I=y(n,o,v,M),z={editable:!0,xref:T?"paper":_._id,yref:k?"paper":w._id,layer:p.layer,opacity:p.opacity,line:{color:p.line.color,width:p.line.width,dash:p.line.dash}};if(P||(z.fillcolor=p.fillcolor,z.fillrule=p.fillrule),1===I.length&&(L=I[0]),L&&"drawrect"===A)z.type="rect",z.x0=L[0][1],z.y0=L[0][2],z.x1=L[2][1],z.y1=L[2][2];else if(L&&"drawline"===A)z.type="line",z.x0=L[0][1],z.y0=L[0][2],z.x1=L[1][1],z.y1=L[1][2];else if(L&&"drawcircle"===A){z.type="circle";var O=L[s][1],D=L[l][1],R=L[c][1],F=L[u][1],B=L[s][2],N=L[l][2],j=L[c][2],U=L[u][2],V=v.xaxis&&("date"===v.xaxis.type||"log"===v.xaxis.type),q=v.yaxis&&("date"===v.yaxis.type||"log"===v.yaxis.type);V&&(O=g(v.xaxis,O),D=g(v.xaxis,D),R=g(v.xaxis,R),F=g(v.xaxis,F)),q&&(B=g(v.yaxis,B),N=g(v.yaxis,N),j=g(v.yaxis,j),U=g(v.yaxis,U));var H=(D+F)/2,G=(B+j)/2,Y=b({x0:H,y0:G,x1:H+(F-D+R-O)/2*h,y1:G+(U-N+j-B)/2*f});V&&(Y.x0=d(v.xaxis,Y.x0),Y.x1=d(v.xaxis,Y.x1)),q&&(Y.y0=d(v.yaxis,Y.y0),Y.y1=d(v.yaxis,Y.y1)),z.x0=Y.x0,z.y0=Y.y0,z.x1=Y.x1,z.y1=Y.y1}else z.type="path",_&&w&&function(t,e,r){var n="date"===e.type,i="date"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(" ","_")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(" ","_"))}(I,_,w),z.path=x(I),L=null;m(o);for(var W=e.editHelpers,Z=(W||{}).modifyItem,X=[],J=0;J<S.length;J++){var K=o._fullLayout.shapes[J];if(X[J]=K._input,void 0!==M&&J===o._fullLayout._activeShapeIndex){var Q=z;switch(K.type){case"line":case"rect":case"circle":Z("x0",Q.x0),Z("x1",Q.x1),Z("y0",Q.y0),Z("y1",Q.y1);break;case"path":Z("path",Q.path)}}}return void 0===M?(X.push(z),X):W?W.getUpdateObj():{}}}}},{"../../../plots/cartesian/handle_outline":809,"../../../plots/cartesian/helpers":810,"../../dragelement/helpers":633,"./constants":698,"./helpers":701}],703:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib");r.rangeToShapePosition=function(t){return"log"===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return"log"===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace("_"," ")),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(" ","_")}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if("domain"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},"date"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if("domain"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&"paper"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+"axis"]),r.yref&&"paper"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+"axis"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}}},{"../../lib":750,"./constants":694}],704:[function(t,e,r){"use strict";var n=t("./draw");e.exports={moduleType:"component",name:"shapes",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),supplyDrawNewShapeDefaults:t("./draw_newshape/defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("shapes"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne}},{"../../plots/cartesian/include_components":811,"./attributes":692,"./calc_autorange":693,"./defaults":695,"./draw":696,"./draw_newshape/defaults":699}],705:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/pad_attributes"),a=t("../../lib/extend").extendDeepAll,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/animation_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=t("./constants"),u=l("step",{visible:{valType:"boolean",dflt:!0},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string"},value:{valType:"string"},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("slider",{visible:{valType:"boolean",dflt:!0},active:{valType:"number",min:0,dflt:0},steps:u,lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",min:-2,max:3,dflt:0},pad:a(i({editType:"arraydraw"}),{},{t:{dflt:20}}),xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left"},y:{valType:"number",min:-2,max:3,dflt:0},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},transition:{duration:{valType:"number",min:0,dflt:150},easing:{valType:"enumerated",values:s.transition.easing.values,dflt:"cubic-in-out"}},currentvalue:{visible:{valType:"boolean",dflt:!0},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left"},offset:{valType:"number",dflt:10},prefix:{valType:"string"},suffix:{valType:"string"},font:n({})},font:n({}),activebgcolor:{valType:"color",dflt:c.gripBgActiveColor},bgcolor:{valType:"color",dflt:c.railBgColor},bordercolor:{valType:"color",dflt:c.railBorderColor},borderwidth:{valType:"number",min:0,dflt:c.railBorderWidth},ticklen:{valType:"number",min:0,dflt:c.tickLength},tickcolor:{valType:"color",dflt:c.tickColor},tickwidth:{valType:"number",min:0,dflt:1},minorticklen:{valType:"number",min:0,dflt:c.minorTickLength}}),"arraydraw","from-root")},{"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plot_api/plot_template":788,"../../plots/animation_attributes":793,"../../plots/font_attributes":827,"../../plots/pad_attributes":861,"./constants":706}],706:[function(t,e,r){"use strict";e.exports={name:"sliders",containerClassName:"slider-container",groupClassName:"slider-group",inputAreaClass:"slider-input-area",railRectClass:"slider-rail-rect",railTouchRectClass:"slider-rail-touch-rect",gripRectClass:"slider-grip-rect",tickRectClass:"slider-tick-rect",inputProxyClass:"slider-input-proxy",labelsClass:"slider-labels",labelGroupClass:"slider-label-group",labelClass:"slider-label",currentValueClass:"slider-current-value",railHeight:5,menuIndexAttrName:"slider-active-index",autoMarginIdRoot:"slider-",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:"#bec8d9",railBgColor:"#f8fafc",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:"#bec8d9",gripBgColor:"#f6f8fa",gripBgActiveColor:"#dbdde0",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:"#333",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:"#333",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],707:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/array_container_defaults"),a=t("./attributes"),o=t("./constants").name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:"steps",handleItemDefaults:c}),l=0,u=0;u<s.length;u++)s[u].visible&&l++;if(l<2?e.visible=!1:o("visible")){e._stepCount=l;var h=e._visibleSteps=n.filterVisible(s);(s[o("active")]||{}).visible||(e.active=h[0]._index),o("x"),o("y"),n.noneOrAll(t,e,["x","y"]),o("xanchor"),o("yanchor"),o("len"),o("lenmode"),o("pad.t"),o("pad.r"),o("pad.b"),o("pad.l"),n.coerceFont(o,"font",r.font),o("currentvalue.visible")&&(o("currentvalue.xanchor"),o("currentvalue.prefix"),o("currentvalue.suffix"),o("currentvalue.offset"),n.coerceFont(o,"currentvalue.font",e.font)),o("transition.duration"),o("transition.easing"),o("bgcolor"),o("activebgcolor"),o("bordercolor"),o("borderwidth"),o("ticklen"),o("tickwidth"),o("tickcolor"),o("minorticklen")}}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if("skip"===t.method||Array.isArray(t.args)?r("visible"):e.visible=!1){r("method"),r("args");var i=r("label","step-"+e._index);r("value",i),r("execute")}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{"../../lib":750,"../../plots/array_container_defaults":794,"./attributes":705,"./constants":706}],708:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/plots"),a=t("../color"),o=t("../drawing"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("../../plot_api/plot_template").arrayEditor,u=t("./constants"),h=t("../../constants/alignment"),f=h.LINE_SPACING,p=h.FROM_TL,d=h.FROM_BR;function g(t){return u.autoMarginIdRoot+t._index}function m(t){return t._index}function v(t,e){var r=o.tester.selectAll("g."+u.labelGroupClass).data(e._visibleSteps);r.enter().append("g").classed(u.labelGroupClass,!0);var a=0,c=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);c=Math.max(c,i.height),a=Math.max(a,i.width)}})),r.remove();var h=e._dims={};h.inputAreaWidth=Math.max(u.railWidth,u.gripHeight);var f=t._fullLayout._size;h.lx=f.l+f.w*e.x,h.ly=f.t+f.h*(1-e.y),"fraction"===e.lenmode?h.outerLength=Math.round(f.w*e.len):h.outerLength=e.len,h.inputAreaStart=0,h.inputAreaLength=Math.round(h.outerLength-e.pad.l-e.pad.r);var m=(h.inputAreaLength-2*u.stepInset)/(e._stepCount-1),v=a+u.labelPadding;if(h.labelStride=Math.max(1,Math.ceil(v/m)),h.labelHeight=c,h.currentValueMaxWidth=0,h.currentValueHeight=0,h.currentValueTotalHeight=0,h.currentValueMaxLines=1,e.currentvalue.visible){var x=o.tester.append("g");r.each((function(t){var r=y(x,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=l.lineCount(r);h.currentValueMaxWidth=Math.max(h.currentValueMaxWidth,Math.ceil(n.width)),h.currentValueHeight=Math.max(h.currentValueHeight,Math.ceil(n.height)),h.currentValueMaxLines=Math.max(h.currentValueMaxLines,i)})),h.currentValueTotalHeight=h.currentValueHeight+e.currentvalue.offset,x.remove()}h.height=h.currentValueTotalHeight+u.tickOffset+e.ticklen+u.labelOffset+h.labelHeight+e.pad.t+e.pad.b;var _="left";s.isRightAnchor(e)&&(h.lx-=h.outerLength,_="right"),s.isCenterAnchor(e)&&(h.lx-=h.outerLength/2,_="center");var w="top";s.isBottomAnchor(e)&&(h.ly-=h.height,w="bottom"),s.isMiddleAnchor(e)&&(h.ly-=h.height/2,w="middle"),h.outerLength=Math.ceil(h.outerLength),h.height=Math.ceil(h.height),h.lx=Math.round(h.lx),h.ly=Math.round(h.ly);var T={y:e.y,b:h.height*d[w],t:h.height*p[w]};"fraction"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),i.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-u.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=u.currentValueInset,i="left"}var c=s.ensureSingle(t,"text",u.labelClass,(function(t){t.attr({"text-anchor":i,"data-notex":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var g=l.lineCount(c),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*f;return l.positionText(c,n,m),c}}function x(t,e,r){s.ensureSingle(t,"rect",u.gripRectClass,(function(n){n.call(k,e,t,r).style("pointer-events","all")})).attr({width:u.gripWidth,height:u.gripHeight,rx:u.gripRadius,ry:u.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style("stroke-width",r.borderwidth+"px")}function b(t,e,r){var n=s.ensureSingle(t,"text",u.labelClass,(function(t){t.attr({"text-anchor":"middle","data-notex":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(l.convertToTspans,r._gd),n}function _(t,e){var r=s.ensureSingle(t,"g",u.labelsClass),i=e._dims,a=r.selectAll("g."+u.labelGroupClass).data(i.labelSteps);a.enter().append("g").classed(u.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,S(e,t.fraction),u.tickOffset+e.ticklen+e.font.size*f+u.labelOffset+i.currentValueTotalHeight)}))}function w(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&T(t,e,r,o,!0,i)}function T(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,u.name,r).applyUpdate("active",n);var l=r.steps[r.active];e.call(A,r,o),e.call(y,r),t.emit("plotly_sliderchange",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function k(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}t.on("mousedown",(function(){var t=s();e.emit("plotly_sliderstart",{slider:t});var l=r.select("."+u.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=E(t,n.mouse(i)[0]);w(e,r,t,c,!0),t._dragging=!0,o.on("mousemove",(function(){var t=s(),a=E(t,n.mouse(i)[0]);w(e,r,t,a,!1)})),o.on("mouseup",(function(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on("mouseup",null),o.on("mousemove",null),e.emit("plotly_sliderend",{slider:t,step:t.steps[t.active]})}))}))}function M(t,e){var r=t.selectAll("rect."+u.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append("rect").classed(u.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+"px","shape-rendering":"crispEdges"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,S(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?u.tickOffset:u.minorTickOffset)+i.currentValueTotalHeight)}))}function A(t,e,r){for(var n=t.select("rect."+u.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=S(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr("transform","translate("+(o-.5*u.gripWidth)+","+e._dims.currentValueTotalHeight+")")}}function S(t,e){var r=t._dims;return r.inputAreaStart+u.stepInset+(r.inputAreaLength-2*u.stepInset)*Math.min(1,Math.max(0,e))}function E(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-u.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*u.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,"rect",u.railTouchRectClass,(function(n){n.call(k,e,t,r).style("pointer-events","all")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,u.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr("opacity",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function L(t,e){var r=e._dims,n=r.inputAreaLength-2*u.railInset,i=s.ensureSingle(t,"rect",u.railRectClass);i.attr({width:n,height:u.railWidth,rx:u.railRadius,ry:u.railRadius,"shape-rendering":"crispEdges"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px"),o.setTranslate(i,u.railInset,.5*(r.inputAreaWidth-u.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[u.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(e,t),a=e._infolayer.selectAll("g."+u.containerClassName).data(r.length>0?[0]:[]);function s(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(a.enter().append("g").classed(u.containerClassName,!0).style("cursor","ew-resize"),a.exit().each((function(){n.select(this).selectAll("g."+u.groupClassName).each(s)})).remove(),0!==r.length){var l=a.selectAll("g."+u.groupClassName).data(r,m);l.enter().append("g").classed(u.groupClassName,!0),l.exit().each(s).remove();for(var c=0;c<r.length;c++){var h=r[c];v(t,h)}l.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||T(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index);e.call(y,r).call(L,r).call(_,r).call(M,r).call(C,t,r).call(x,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(A,r,!1),e.call(y,r)}(t,n.select(this),e)}))}}},{"../../constants/alignment":717,"../../lib":750,"../../lib/svg_text_utils":774,"../../plot_api/plot_template":788,"../../plots/plots":862,"../color":615,"../drawing":637,"./constants":706,d3:169}],709:[function(t,e,r){"use strict";var n=t("./constants");e.exports={moduleType:"component",name:n.name,layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),draw:t("./draw")}},{"./attributes":705,"./constants":706,"./defaults":707,"./draw":708}],710:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib"),l=t("../drawing"),c=t("../color"),u=t("../../lib/svg_text_utils"),h=t("../../constants/interactions"),f=t("../../constants/alignment").OPPOSITE_SIDE,p=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var d,g=r.propContainer,m=r.propName,v=r.placeholder,y=r.traceIndex,x=r.avoid||{},b=r.attributes,_=r.transform,w=r.containerGroup,T=t._fullLayout,k=1,M=!1,A=g.title,S=(A&&A.text?A.text:"").trim(),E=A&&A.font?A.font:{},C=E.family,L=E.size,P=E.color;"title.text"===m?d="titleText":-1!==m.indexOf("axis")?d="axisTitleText":m.indexOf(!0)&&(d="colorbarTitleText");var I=t._context.edits[d];""===S?k=0:S.replace(p," % ")===v.replace(p," % ")&&(k=.2,M=!0,I||(S="")),r._meta?S=s.templateString(S,r._meta):T._meta&&(S=s.templateString(S,T._meta));var z=S||I;w||(w=s.ensureSingle(T._infolayer,"g","g-"+e));var O=w.selectAll("text").data(z?[0]:[]);if(O.enter().append("text"),O.text(S).attr("class",e),O.exit().remove(),!z)return w;function D(t){s.syncOrAsync([R,F],t)}function R(e){var r;return _?(r="",_.rotate&&(r+="rotate("+[_.rotate,b.x,b.y]+")"),_.offset&&(r+="translate(0, "+_.offset+")")):r=null,e.attr("transform",r),e.style({"font-family":C,"font-size":n.round(L,2)+"px",fill:c.rgb(P),opacity:k*c.opacity(P),"font-weight":a.fontWeight}).attr(b).call(u.convertToTspans,t),a.previousPromises(t)}function F(t){var e=n.select(t.node().parentNode);if(x&&x.selection&&x.side&&S){e.attr("transform",null);var r=f[x.side],a="left"===x.side||"top"===x.side?-1:1,o=i(x.pad)?x.pad:2,c=l.bBox(e.node()),u={left:0,top:0,right:T.width,bottom:T.height},h=x.maxShift||a*(u[x.side]-c[x.side]),p=0;if(h<0)p=h;else{var d=x.offsetLeft||0,g=x.offsetTop||0;c.left-=d,c.right-=d,c.top-=g,c.bottom-=g,x.selection.each((function(){var t=l.bBox(this);s.bBoxIntersect(c,t,o)&&(p=Math.max(p,a*(t[x.side]-c[r])+o))})),p=Math.min(h,p)}if(p>0||h<0){var m={left:[-p,0],right:[p,0],top:[0,-p],bottom:[0,p]}[x.side];e.attr("transform","translate("+m+")")}}}return O.call(D),I&&(S?O.on(".opacity",null):(k=0,M=!0,O.text(v).on("mouseover.opacity",(function(){n.select(this).transition().duration(h.SHOW_PLACEHOLDER).style("opacity",1)})).on("mouseout.opacity",(function(){n.select(this).transition().duration(h.HIDE_PLACEHOLDER).style("opacity",0)}))),O.call(u.makeEditable,{gd:t}).on("edit",(function(e){void 0!==y?o.call("_guiRestyle",t,m,e,y):o.call("_guiRelayout",t,m,e)})).on("cancel",(function(){this.text(this.attr("data-unformatted")).call(D)})).on("input",(function(t){this.text(t||" ").call(u.positionText,b.x,b.y)}))),O.classed("js-placeholder",M),w}}},{"../../constants/alignment":717,"../../constants/interactions":724,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/plots":862,"../../registry":882,"../color":615,"../drawing":637,d3:169,"fast-isnumeric":241}],711:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/pad_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:c,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},{"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plot_api/plot_template":788,"../../plots/font_attributes":827,"../../plots/pad_attributes":861,"../color/attributes":614}],712:[function(t,e,r){"use strict";e.exports={name:"updatemenus",containerClassName:"updatemenu-container",headerGroupClassName:"updatemenu-header-group",headerClassName:"updatemenu-header",headerArrowClassName:"updatemenu-header-arrow",dropdownButtonGroupClassName:"updatemenu-dropdown-button-group",dropdownButtonClassName:"updatemenu-dropdown-button",buttonClassName:"updatemenu-button",itemRectClassName:"updatemenu-item-rect",itemTextClassName:"updatemenu-item-text",menuIndexAttrName:"updatemenu-active-index",autoMarginIdRoot:"updatemenu-",blankHeaderOpts:{label:"  "},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:"#F4FAFF",hoverColor:"#F4FAFF",arrowSymbol:{left:"\u25c4",right:"\u25ba",up:"\u25b2",down:"\u25bc"}}},{}],713:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/array_container_defaults"),a=t("./attributes"),o=t("./constants").name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o("visible",i(t,e,{name:"buttons",handleItemDefaults:c}).length>0)&&(o("active"),o("direction"),o("type"),o("showactive"),o("x"),o("y"),n.noneOrAll(t,e,["x","y"]),o("xanchor"),o("yanchor"),o("pad.t"),o("pad.r"),o("pad.b"),o("pad.l"),n.coerceFont(o,"font",r.font),o("bgcolor",r.paper_bgcolor),o("bordercolor"),o("borderwidth"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r("visible","skip"===t.method||Array.isArray(t.args))&&(r("method"),r("args"),r("args2"),r("label"),r("execute"))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{"../../lib":750,"../../plots/array_container_defaults":794,"./attributes":711,"./constants":712}],714:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/plots"),a=t("../color"),o=t("../drawing"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("../../plot_api/plot_template").arrayEditor,u=t("../../constants/alignment").LINE_SPACING,h=t("./constants"),f=t("./scrollbox");function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function g(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate("active",o),"buttons"===e.type?v(t,n,null,null,e):"dropdown"===e.type&&(i.attr(h.menuIndexAttrName,"-1"),m(t,n,i,a,e),s||v(t,n,i,a,e))}function m(t,e,r,n,i){var a=s.ensureSingle(e,"g",h.headerClassName,(function(t){t.style("pointer-events","all")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(y,i,u,t).call(A,i,f,p),s.ensureSingle(e,"text",h.headerArrowClassName,(function(t){t.attr("text-anchor","end").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on("click",(function(){r.call(S,String(d(r,i)?-1:i._index)),v(t,e,r,n,i)})),a.on("mouseover",(function(){a.call(w)})),a.on("mouseout",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function v(t,e,r,a,o){r||(r=e).attr("pointer-events","all");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&"buttons"!==o.type?[]:o.buttons,c="dropdown"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll("g."+c).data(s.filterVisible(l)),f=u.enter().append("g").classed(c,!0),p=u.exit();"dropdown"===o.type?(f.attr("opacity","0").transition().attr("opacity","1"),p.transition().attr("opacity","0").remove()):p.remove();var d=0,m=0,v=o._dims,x=-1!==["up","down"].indexOf(o.direction);"dropdown"===o.type&&(x?m=v.headerHeight+h.gapButtonHeader:d=v.headerWidth+h.gapButtonHeader),"dropdown"===o.type&&"up"===o.direction&&(m=-h.gapButtonHeader+h.gapButton-v.openHeight),"dropdown"===o.type&&"left"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-v.openWidth);var b={x:v.lx+d+o.pad.l,y:v.ly+m+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on("click",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(g(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(g(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit("plotly_buttonclicked",{menu:o,button:s,active:o.active}))})),c.on("mouseover",(function(){c.call(w)})),c.on("mouseout",(function(){c.call(T,o),u.call(_,o)}))})),u.call(_,o),x?(k.w=Math.max(v.openWidth,v.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(v.openHeight,v.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u="up"===c||"down"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr("opacity","0").transition().attr("opacity","1");n.vbar&&n.vbar.attr("opacity","0").transition().attr("opacity","1")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr("opacity","0").each("end",(function(){e=!1,r||t.disable()}));r&&t.vbar.transition().attr("opacity","0").each("end",(function(){r=!1,e||t.disable()}))}(a))}function y(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,"rect",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,"shape-rendering":"crispEdges"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){var i=s.ensureSingle(t,"text",h.itemTextClassName,(function(t){t.attr({"text-anchor":"start","data-notex":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select("rect."+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select("rect."+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select("rect."+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll("g."+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append("g").classed(h.dropdownButtonClassName,!0);var c=-1!==["up","down"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(y,e,i,t);var f=s.select("."+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),g=e.font.size*u,m=l.lineCount(f),v=Math.max(g*m,h.minHeight)+h.textOffsetY;v=Math.ceil(v),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=v,r.height1=Math.max(r.height1,v),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=v+h.gapButton,r.openHeight+=v+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,v),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,"dropdown"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var g="left";s.isRightAnchor(e)&&(r.lx-=f,g="right"),s.isCenterAnchor(e)&&(r.lx-=f/2,g="center");var m="top";s.isBottomAnchor(e)&&(r.ly-=p,m="bottom"),s.isMiddleAnchor(e)&&(r.ly-=p/2,m="middle"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,M(e),{x:e.x,y:e.y,l:f*({right:1,center:.5}[g]||0),r:f*({left:1,center:.5}[g]||0),b:p*({top:1,middle:.5}[m]||0),t:p*({bottom:1,middle:.5}[m]||0)})}function M(t){return h.autoMarginIdRoot+t._index}function A(t,e,r,n){n=n||{};var i=t.select("."+h.itemRectClassName),a=t.select("."+h.itemTextClassName),s=e.borderwidth,c=r.index,f=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==["up","down"].indexOf(e.direction),d=n.height||(p?f.heights[c]:f.height1);i.attr({x:0,y:0,width:n.width||(p?f.width1:f.widths[c]),height:d});var g=e.font.size*u,m=(l.lineCount(a)-1)*g/2;l.positionText(a,h.textOffsetX,d/2-m+h.textOffsetY),p?r.y+=f.heights[c]+r.yPad:r.x+=f.widths[c]+r.xPad,r.index++}function S(t,e){t.attr(h.menuIndexAttrName,e||"-1").selectAll("g."+h.dropdownButtonClassName).remove()}e.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[h.name]);function a(e){i.autoMargin(t,M(e))}var o=e._menulayer.selectAll("g."+h.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append("g").classed(h.containerClassName,!0).style("cursor","pointer"),o.exit().each((function(){n.select(this).selectAll("g."+h.headerGroupClassName).each(a)})).remove(),0!==r.length){var l=o.selectAll("g."+h.headerGroupClassName).data(r,p);l.enter().append("g").classed(h.headerGroupClassName,!0);for(var c=s.ensureSingle(o,"g",h.dropdownButtonGroupClassName,(function(t){t.style("pointer-events","all")})),u=0;u<r.length;u++){var y=r[u];k(t,y)}var x="updatemenus"+e._uid,b=new f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a="dropdown"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){g(t,e,e.buttons[n.index],r,a,b,n.index,!0)})),"dropdown"===e.type?(m(t,r,c,b,e),d(c,e)&&v(t,r,c,b,e)):v(t,r,null,null,e)}))}}},{"../../constants/alignment":717,"../../lib":750,"../../lib/svg_text_utils":774,"../../plot_api/plot_template":788,"../../plots/plots":862,"../color":615,"../drawing":637,"./constants":712,"./scrollbox":716,d3:169}],715:[function(t,e,r){arguments[4][709][0].apply(r,arguments)},{"./attributes":711,"./constants":712,"./defaults":713,"./draw":714,dup:709}],716:[function(t,e,r){"use strict";e.exports=s;var n=t("d3"),i=t("../color"),a=t("../drawing"),o=t("../../lib");function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll("rect.scrollbox-bg").data([0]),this.bg.exit().on(".drag",null).on("wheel",null).remove(),this.bg.enter().append("rect").classed("scrollbox-bg",!0).style("pointer-events","all").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor="#808BA4",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,g=this.position.w,m=this.position.t,v=this.position.h,y=this.position.direction,x="down"===y,b="left"===y,_="up"===y,w=g,T=v;x||b||"right"===y||_||(this.position.direction="down",x=!0),x||_?(h=(u=d)+w,x?(f=m,T=(p=Math.min(f+T,c))-f):T=(p=m+T)-(f=Math.max(p-T,0))):(p=(f=m)+T,b?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=g>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=m+v;E+A>c&&(E=c-A);var C=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);C.exit().on(".drag",null).remove(),C.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,z=d+g,O=m;z+P>l&&(z=l-P);var D=this.container.selectAll("rect.scrollbar-vertical").data(L?[0]:[]);D.exit().on(".drag",null).remove(),D.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:P,height:I}),this._vbarYMin=O+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+P+.5:h+.5,N=f-.5,j=k?p+A+.5:p+.5,U=o._topdefs.selectAll("#"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append("clipPath").attr("id",R).append("rect"),k||L?(this._clipRect=U.select("rect").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:m,width:g,height:v})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on("dragstart",(function(){n.event.sourceEvent.preventDefault()})).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call(V);var q=n.behavior.drag().on("dragstart",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on("drag",this._onBarDrag.bind(this));k&&this.hbar.on(".drag",null).call(q),L&&this.vbar.on(".drag",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{"../../lib":750,"../color":615,"../drawing":637,d3:169}],717:[function(t,e,r){"use strict";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},{}],718:[function(t,e,r){"use strict";e.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the `"+t+"` position refers to a",t,"coordinate. If set to *paper*, the `"+t+"`","position refers to the distance from the",e,"of the plotting","area in normalized coordinates where *0* (*1*) corresponds to the",e,"("+r+"). If set to a",t,"axis ID followed by","*domain* (separated by a space), the position behaves like for","*paper*, but refers to the distance in fractions of the domain","length from the",e,"of the domain of that axis: e.g.,","*"+t+"2 domain* refers to the domain of the second",t," axis and a",t,"position of 0.5 refers to the","point between the",e,"and the",r,"of the domain of the","second",t,"axis."].join(" ")}}},{}],719:[function(t,e,r){"use strict";e.exports={INCREASING:{COLOR:"#3D9970",SYMBOL:"\u25b2"},DECREASING:{COLOR:"#FF4136",SYMBOL:"\u25bc"}}},{}],720:[function(t,e,r){"use strict";e.exports={FORMAT_LINK:"https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format",DATE_FORMAT_LINK:"https://github.com/d3/d3-time-format#locale_format"}},{}],721:[function(t,e,r){"use strict";e.exports={COMPARISON_OPS:["=","!=","<",">=",">","<="],COMPARISON_OPS2:["=","<",">=",">","<="],INTERVAL_OPS:["[]","()","[)","(]","][",")(","](",")["],SET_OPS:["{}","}{"],CONSTRAINT_REDUCTION:{"=":"=","<":"<","<=":"<",">":">",">=":">","[]":"[]","()":"[]","[)":"[]","(]":"[]","][":"][",")(":"][","](":"][",")[":"]["}}},{}],722:[function(t,e,r){"use strict";e.exports={solid:[[],0],dot:[[.5,1],200],dash:[[.5,1],50],longdash:[[.5,1],10],dashdot:[[.5,.625,.875,1],50],longdashdot:[[.5,.7,.8,1],10]}},{}],723:[function(t,e,r){"use strict";e.exports={circle:"\u25cf","circle-open":"\u25cb",square:"\u25a0","square-open":"\u25a1",diamond:"\u25c6","diamond-open":"\u25c7",cross:"+",x:"\u274c"}},{}],724:[function(t,e,r){"use strict";e.exports={SHOW_PLACEHOLDER:100,HIDE_PLACEHOLDER:1e3,DESELECTDIM:.2}},{}],725:[function(t,e,r){"use strict";e.exports={BADNUM:void 0,FP_SAFE:Number.MAX_VALUE/1e4,ONEMAXYEAR:316224e5,ONEAVGYEAR:315576e5,ONEMINYEAR:31536e6,ONEMAXQUARTER:79488e5,ONEAVGQUARTER:78894e5,ONEMINQUARTER:76896e5,ONEMAXMONTH:26784e5,ONEAVGMONTH:26298e5,ONEMINMONTH:24192e5,ONEWEEK:6048e5,ONEDAY:864e5,ONEHOUR:36e5,ONEMIN:6e4,ONESEC:1e3,EPOCHJD:2440587.5,ALMOST_EQUAL:.999999,LOG_CLIP:10,MINUS_SIGN:"\u2212"}},{}],726:[function(t,e,r){"use strict";r.xmlns="http://www.w3.org/2000/xmlns/",r.svg="http://www.w3.org/2000/svg",r.xlink="http://www.w3.org/1999/xlink",r.svgAttrs={xmlns:r.svg,"xmlns:xlink":r.xlink}},{}],727:[function(t,e,r){"use strict";r.version=t("./version").version,t("es6-promise").polyfill(),t("../build/plotcss"),t("./fonts/mathjax_config")();for(var n=t("./registry"),i=r.register=n.register,a=t("./plot_api"),o=Object.keys(a),s=0;s<o.length;s++){var l=o[s];"_"!==l.charAt(0)&&(r[l]=a[l]),i({moduleType:"apiMethod",name:l,fn:a[l]})}i(t("./traces/scatter")),i([t("./components/legend"),t("./components/fx"),t("./components/annotations"),t("./components/annotations3d"),t("./components/shapes"),t("./components/images"),t("./components/updatemenus"),t("./components/sliders"),t("./components/rangeslider"),t("./components/rangeselector"),t("./components/grid"),t("./components/errorbars"),t("./components/colorscale"),t("./components/colorbar")]),i([t("./locale-en"),t("./locale-en-us")]),window.PlotlyLocales&&Array.isArray(window.PlotlyLocales)&&(i(window.PlotlyLocales),delete window.PlotlyLocales),r.Icons=t("./fonts/ploticon"),r.Plots=t("./plots/plots"),r.Fx=t("./components/fx"),r.Snapshot=t("./snapshot"),r.PlotSchema=t("./plot_api/plot_schema"),r.Queue=t("./lib/queue"),r.d3=t("d3")},{"../build/plotcss":1,"./components/annotations":606,"./components/annotations3d":611,"./components/colorbar":621,"./components/colorscale":627,"./components/errorbars":643,"./components/fx":655,"./components/grid":659,"./components/images":664,"./components/legend":672,"./components/rangeselector":683,"./components/rangeslider":690,"./components/shapes":704,"./components/sliders":709,"./components/updatemenus":715,"./fonts/mathjax_config":728,"./fonts/ploticon":729,"./lib/queue":765,"./locale-en":779,"./locale-en-us":778,"./plot_api":783,"./plot_api/plot_schema":787,"./plots/plots":862,"./registry":882,"./snapshot":887,"./traces/scatter":1170,"./version":1341,d3:169,"es6-promise":224}],728:[function(t,e,r){"use strict";e.exports=function(){"undefined"!=typeof MathJax&&("local"!==(window.PlotlyConfig||{}).MathJaxConfig&&(MathJax.Hub.Config({messageStyle:"none",skipStartupTypeset:!0,displayAlign:"left",tex2jax:{inlineMath:[["$","$"],["\\(","\\)"]]}}),MathJax.Hub.Configured()))}},{}],729:[function(t,e,r){"use strict";e.exports={undo:{width:857.1,height:1e3,path:"m857 350q0-87-34-166t-91-137-137-92-166-34q-96 0-183 41t-147 114q-4 6-4 13t5 11l76 77q6 5 14 5 9-1 13-7 41-53 100-82t126-29q58 0 110 23t92 61 61 91 22 111-22 111-61 91-92 61-110 23q-55 0-105-20t-90-57l77-77q17-16 8-38-10-23-33-23h-250q-15 0-25 11t-11 25v250q0 24 22 33 22 10 39-8l72-72q60 57 137 88t159 31q87 0 166-34t137-92 91-137 34-166z",transform:"matrix(1 0 0 -1 0 850)"},home:{width:928.6,height:1e3,path:"m786 296v-267q0-15-11-26t-25-10h-214v214h-143v-214h-214q-15 0-25 10t-11 26v267q0 1 0 2t0 2l321 264 321-264q1-1 1-4z m124 39l-34-41q-5-5-12-6h-2q-7 0-12 3l-386 322-386-322q-7-4-13-4-7 2-12 7l-35 41q-4 5-3 13t6 12l401 334q18 15 42 15t43-15l136-114v109q0 8 5 13t13 5h107q8 0 13-5t5-13v-227l122-102q5-5 6-12t-4-13z",transform:"matrix(1 0 0 -1 0 850)"},"camera-retro":{width:1e3,height:1e3,path:"m518 386q0 8-5 13t-13 5q-37 0-63-27t-26-63q0-8 5-13t13-5 12 5 5 13q0 23 16 38t38 16q8 0 13 5t5 13z m125-73q0-59-42-101t-101-42-101 42-42 101 42 101 101 42 101-42 42-101z m-572-320h858v71h-858v-71z m643 320q0 89-62 152t-152 62-151-62-63-152 63-151 151-63 152 63 62 151z m-571 358h214v72h-214v-72z m-72-107h858v143h-462l-36-71h-360v-72z m929 143v-714q0-30-21-51t-50-21h-858q-29 0-50 21t-21 51v714q0 30 21 51t50 21h858q29 0 50-21t21-51z",transform:"matrix(1 0 0 -1 0 850)"},zoombox:{width:1e3,height:1e3,path:"m1000-25l-250 251c40 63 63 138 63 218 0 224-182 406-407 406-224 0-406-182-406-406s183-406 407-406c80 0 155 22 218 62l250-250 125 125z m-812 250l0 438 437 0 0-438-437 0z m62 375l313 0 0-312-313 0 0 312z",transform:"matrix(1 0 0 -1 0 850)"},pan:{width:1e3,height:1e3,path:"m1000 350l-187 188 0-125-250 0 0 250 125 0-188 187-187-187 125 0 0-250-250 0 0 125-188-188 186-187 0 125 252 0 0-250-125 0 187-188 188 188-125 0 0 250 250 0 0-126 187 188z",transform:"matrix(1 0 0 -1 0 850)"},zoom_plus:{width:875,height:1e3,path:"m1 787l0-875 875 0 0 875-875 0z m687-500l-187 0 0-187-125 0 0 187-188 0 0 125 188 0 0 187 125 0 0-187 187 0 0-125z",transform:"matrix(1 0 0 -1 0 850)"},zoom_minus:{width:875,height:1e3,path:"m0 788l0-876 875 0 0 876-875 0z m688-500l-500 0 0 125 500 0 0-125z",transform:"matrix(1 0 0 -1 0 850)"},autoscale:{width:1e3,height:1e3,path:"m250 850l-187 0-63 0 0-62 0-188 63 0 0 188 187 0 0 62z m688 0l-188 0 0-62 188 0 0-188 62 0 0 188 0 62-62 0z m-875-938l0 188-63 0 0-188 0-62 63 0 187 0 0 62-187 0z m875 188l0-188-188 0 0-62 188 0 62 0 0 62 0 188-62 0z m-125 188l-1 0-93-94-156 156 156 156 92-93 2 0 0 250-250 0 0-2 93-92-156-156-156 156 94 92 0 2-250 0 0-250 0 0 93 93 157-156-157-156-93 94 0 0 0-250 250 0 0 0-94 93 156 157 156-157-93-93 0 0 250 0 0 250z",transform:"matrix(1 0 0 -1 0 850)"},tooltip_basic:{width:1500,height:1e3,path:"m375 725l0 0-375-375 375-374 0-1 1125 0 0 750-1125 0z",transform:"matrix(1 0 0 -1 0 850)"},tooltip_compare:{width:1125,height:1e3,path:"m187 786l0 2-187-188 188-187 0 0 937 0 0 373-938 0z m0-499l0 1-187-188 188-188 0 0 937 0 0 376-938-1z",transform:"matrix(1 0 0 -1 0 850)"},plotlylogo:{width:1542,height:1e3,path:"m0-10h182v-140h-182v140z m228 146h183v-286h-183v286z m225 714h182v-1000h-182v1000z m225-285h182v-715h-182v715z m225 142h183v-857h-183v857z m231-428h182v-429h-182v429z m225-291h183v-138h-183v138z",transform:"matrix(1 0 0 -1 0 850)"},"z-axis":{width:1e3,height:1e3,path:"m833 5l-17 108v41l-130-65 130-66c0 0 0 38 0 39 0-1 36-14 39-25 4-15-6-22-16-30-15-12-39-16-56-20-90-22-187-23-279-23-261 0-341 34-353 59 3 60 228 110 228 110-140-8-351-35-351-116 0-120 293-142 474-142 155 0 477 22 477 142 0 50-74 79-163 96z m-374 94c-58-5-99-21-99-40 0-24 65-43 144-43 79 0 143 19 143 43 0 19-42 34-98 40v216h87l-132 135-133-135h88v-216z m167 515h-136v1c16 16 31 34 46 52l84 109v54h-230v-71h124v-1c-16-17-28-32-44-51l-89-114v-51h245v72z",transform:"matrix(1 0 0 -1 0 850)"},"3d_rotate":{width:1e3,height:1e3,path:"m922 660c-5 4-9 7-14 11-359 263-580-31-580-31l-102 28 58-400c0 1 1 1 2 2 118 108 351 249 351 249s-62 27-100 42c88 83 222 183 347 122 16-8 30-17 44-27-2 1-4 2-6 4z m36-329c0 0 64 229-88 296-62 27-124 14-175-11 157-78 225-208 249-266 8-19 11-31 11-31 2 5 6 15 11 32-5-13-8-20-8-20z m-775-239c70-31 117-50 198-32-121 80-199 346-199 346l-96-15-58-12c0 0 55-226 155-287z m603 133l-317-139c0 0 4-4 19-14 7-5 24-15 24-15s-177-147-389 4c235-287 536-112 536-112l31-22 100 299-4-1z m-298-153c6-4 14-9 24-15 0 0-17 10-24 15z",transform:"matrix(1 0 0 -1 0 850)"},camera:{width:1e3,height:1e3,path:"m500 450c-83 0-150-67-150-150 0-83 67-150 150-150 83 0 150 67 150 150 0 83-67 150-150 150z m400 150h-120c-16 0-34 13-39 29l-31 93c-6 15-23 28-40 28h-340c-16 0-34-13-39-28l-31-94c-6-15-23-28-40-28h-120c-55 0-100-45-100-100v-450c0-55 45-100 100-100h800c55 0 100 45 100 100v450c0 55-45 100-100 100z m-400-550c-138 0-250 112-250 250 0 138 112 250 250 250 138 0 250-112 250-250 0-138-112-250-250-250z m365 380c-19 0-35 16-35 35 0 19 16 35 35 35 19 0 35-16 35-35 0-19-16-35-35-35z",transform:"matrix(1 0 0 -1 0 850)"},movie:{width:1e3,height:1e3,path:"m938 413l-188-125c0 37-17 71-44 94 64 38 107 107 107 187 0 121-98 219-219 219-121 0-219-98-219-219 0-61 25-117 66-156h-115c30 33 49 76 49 125 0 103-84 187-187 187s-188-84-188-187c0-57 26-107 65-141-38-22-65-62-65-109v-250c0-70 56-126 125-126h500c69 0 125 56 125 126l188-126c34 0 62 28 62 63v375c0 35-28 63-62 63z m-750 0c-69 0-125 56-125 125s56 125 125 125 125-56 125-125-56-125-125-125z m406-1c-87 0-157 70-157 157 0 86 70 156 157 156s156-70 156-156-70-157-156-157z",transform:"matrix(1 0 0 -1 0 850)"},question:{width:857.1,height:1e3,path:"m500 82v107q0 8-5 13t-13 5h-107q-8 0-13-5t-5-13v-107q0-8 5-13t13-5h107q8 0 13 5t5 13z m143 375q0 49-31 91t-77 65-95 23q-136 0-207-119-9-14 4-24l74-55q4-4 10-4 9 0 14 7 30 38 48 51 19 14 48 14 27 0 48-15t21-33q0-21-11-34t-38-25q-35-16-65-48t-29-70v-20q0-8 5-13t13-5h107q8 0 13 5t5 13q0 10 12 27t30 28q18 10 28 16t25 19 25 27 16 34 7 45z m214-107q0-117-57-215t-156-156-215-58-216 58-155 156-58 215 58 215 155 156 216 58 215-58 156-156 57-215z",transform:"matrix(1 0 0 -1 0 850)"},disk:{width:857.1,height:1e3,path:"m214-7h429v214h-429v-214z m500 0h72v500q0 8-6 21t-11 20l-157 156q-5 6-19 12t-22 5v-232q0-22-15-38t-38-16h-322q-22 0-37 16t-16 38v232h-72v-714h72v232q0 22 16 38t37 16h465q22 0 38-16t15-38v-232z m-214 518v178q0 8-5 13t-13 5h-107q-7 0-13-5t-5-13v-178q0-8 5-13t13-5h107q7 0 13 5t5 13z m357-18v-518q0-22-15-38t-38-16h-750q-23 0-38 16t-16 38v750q0 22 16 38t38 16h517q23 0 50-12t42-26l156-157q16-15 27-42t11-49z",transform:"matrix(1 0 0 -1 0 850)"},drawopenpath:{width:70,height:70,path:"M33.21,85.65a7.31,7.31,0,0,1-2.59-.48c-8.16-3.11-9.27-19.8-9.88-41.3-.1-3.58-.19-6.68-.35-9-.15-2.1-.67-3.48-1.43-3.79-2.13-.88-7.91,2.32-12,5.86L3,32.38c1.87-1.64,11.55-9.66,18.27-6.9,2.13.87,4.75,3.14,5.17,9,.17,2.43.26,5.59.36,9.25a224.17,224.17,0,0,0,1.5,23.4c1.54,10.76,4,12.22,4.48,12.4.84.32,2.79-.46,5.76-3.59L43,80.07C41.53,81.57,37.68,85.64,33.21,85.65ZM74.81,69a11.34,11.34,0,0,0,6.09-6.72L87.26,44.5,74.72,32,56.9,38.35c-2.37.86-5.57,3.42-6.61,6L38.65,72.14l8.42,8.43ZM55,46.27a7.91,7.91,0,0,1,3.64-3.17l14.8-5.3,8,8L76.11,60.6l-.06.19a6.37,6.37,0,0,1-3,3.43L48.25,74.59,44.62,71Zm16.57,7.82A6.9,6.9,0,1,0,64.64,61,6.91,6.91,0,0,0,71.54,54.09Zm-4.05,0a2.85,2.85,0,1,1-2.85-2.85A2.86,2.86,0,0,1,67.49,54.09Zm-4.13,5.22L60.5,56.45,44.26,72.7l2.86,2.86ZM97.83,35.67,84.14,22l-8.57,8.57L89.26,44.24Zm-13.69-8,8,8-2.85,2.85-8-8Z",transform:"matrix(1 0 0 1 -15 -15)"},drawclosedpath:{width:90,height:90,path:"M88.41,21.12a26.56,26.56,0,0,0-36.18,0l-2.07,2-2.07-2a26.57,26.57,0,0,0-36.18,0,23.74,23.74,0,0,0,0,34.8L48,90.12a3.22,3.22,0,0,0,4.42,0l36-34.21a23.73,23.73,0,0,0,0-34.79ZM84,51.24,50.16,83.35,16.35,51.25a17.28,17.28,0,0,1,0-25.47,20,20,0,0,1,27.3,0l4.29,4.07a3.23,3.23,0,0,0,4.44,0l4.29-4.07a20,20,0,0,1,27.3,0,17.27,17.27,0,0,1,0,25.46ZM66.76,47.68h-33v6.91h33ZM53.35,35H46.44V68h6.91Z",transform:"matrix(1 0 0 1 -5 -5)"},lasso:{width:1031,height:1e3,path:"m1018 538c-36 207-290 336-568 286-277-48-473-256-436-463 10-57 36-108 76-151-13-66 11-137 68-183 34-28 75-41 114-42l-55-70 0 0c-2-1-3-2-4-3-10-14-8-34 5-45 14-11 34-8 45 4 1 1 2 3 2 5l0 0 113 140c16 11 31 24 45 40 4 3 6 7 8 11 48-3 100 0 151 9 278 48 473 255 436 462z m-624-379c-80 14-149 48-197 96 42 42 109 47 156 9 33-26 47-66 41-105z m-187-74c-19 16-33 37-39 60 50-32 109-55 174-68-42-25-95-24-135 8z m360 75c-34-7-69-9-102-8 8 62-16 128-68 170-73 59-175 54-244-5-9 20-16 40-20 61-28 159 121 317 333 354s407-60 434-217c28-159-121-318-333-355z",transform:"matrix(1 0 0 -1 0 850)"},selectbox:{width:1e3,height:1e3,path:"m0 850l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m285 0l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m-857-286l0-143 143 0 0 143-143 0z m857 0l0-143 143 0 0 143-143 0z m-857-285l0-143 143 0 0 143-143 0z m857 0l0-143 143 0 0 143-143 0z m-857-286l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z m285 0l0-143 143 0 0 143-143 0z m286 0l0-143 143 0 0 143-143 0z",transform:"matrix(1 0 0 -1 0 850)"},drawline:{width:70,height:70,path:"M60.64,62.3a11.29,11.29,0,0,0,6.09-6.72l6.35-17.72L60.54,25.31l-17.82,6.4c-2.36.86-5.57,3.41-6.6,6L24.48,65.5l8.42,8.42ZM40.79,39.63a7.89,7.89,0,0,1,3.65-3.17l14.79-5.31,8,8L61.94,54l-.06.19a6.44,6.44,0,0,1-3,3.43L34.07,68l-3.62-3.63Zm16.57,7.81a6.9,6.9,0,1,0-6.89,6.9A6.9,6.9,0,0,0,57.36,47.44Zm-4,0a2.86,2.86,0,1,1-2.85-2.85A2.86,2.86,0,0,1,53.32,47.44Zm-4.13,5.22L46.33,49.8,30.08,66.05l2.86,2.86ZM83.65,29,70,15.34,61.4,23.9,75.09,37.59ZM70,21.06l8,8-2.84,2.85-8-8ZM87,80.49H10.67V87H87Z",transform:"matrix(1 0 0 1 -15 -15)"},drawrect:{width:80,height:80,path:"M78,22V79H21V22H78m9-9H12V88H87V13ZM68,46.22H31V54H68ZM53,32H45.22V69H53Z",transform:"matrix(1 0 0 1 -10 -10)"},drawcircle:{width:80,height:80,path:"M50,84.72C26.84,84.72,8,69.28,8,50.3S26.84,15.87,50,15.87,92,31.31,92,50.3,73.16,84.72,50,84.72Zm0-60.59c-18.6,0-33.74,11.74-33.74,26.17S31.4,76.46,50,76.46,83.74,64.72,83.74,50.3,68.6,24.13,50,24.13Zm17.15,22h-34v7.11h34Zm-13.8-13H46.24v34h7.11Z",transform:"matrix(1 0 0 1 -10 -10)"},eraseshape:{width:80,height:80,path:"M82.77,78H31.85L6,49.57,31.85,21.14H82.77a8.72,8.72,0,0,1,8.65,8.77V69.24A8.72,8.72,0,0,1,82.77,78ZM35.46,69.84H82.77a.57.57,0,0,0,.49-.6V29.91a.57.57,0,0,0-.49-.61H35.46L17,49.57Zm32.68-34.7-24,24,5,5,24-24Zm-19,.53-5,5,24,24,5-5Z",transform:"matrix(1 0 0 1 -10 -10)"},spikeline:{width:1e3,height:1e3,path:"M512 409c0-57-46-104-103-104-57 0-104 47-104 104 0 57 47 103 104 103 57 0 103-46 103-103z m-327-39l92 0 0 92-92 0z m-185 0l92 0 0 92-92 0z m370-186l92 0 0 93-92 0z m0-184l92 0 0 92-92 0z",transform:"matrix(1.5 0 0 -1.5 0 850)"},pencil:{width:1792,height:1792,path:"M491 1536l91-91-235-235-91 91v107h128v128h107zm523-928q0-22-22-22-10 0-17 7l-542 542q-7 7-7 17 0 22 22 22 10 0 17-7l542-542q7-7 7-17zm-54-192l416 416-832 832h-416v-416zm683 96q0 53-37 90l-166 166-416-416 166-165q36-38 90-38 53 0 91 38l235 234q37 39 37 91z",transform:"matrix(1 0 0 1 0 1)"},newplotlylogo:{name:"newplotlylogo",svg:"<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 132 132'><defs><style>.cls-1 {fill: #3f4f75;} .cls-2 {fill: #80cfbe;} .cls-3 {fill: #fff;}</style></defs><title>plotly-logomark</title><g id='symbol'><rect class='cls-1' width='132' height='132' rx='6' ry='6'/><circle class='cls-2' cx='78' cy='54' r='6'/><circle class='cls-2' cx='102' cy='30' r='6'/><circle class='cls-2' cx='78' cy='30' r='6'/><circle class='cls-2' cx='54' cy='30' r='6'/><circle class='cls-2' cx='30' cy='30' r='6'/><circle class='cls-2' cx='30' cy='54' r='6'/><path class='cls-3' d='M30,72a6,6,0,0,0-6,6v24a6,6,0,0,0,12,0V78A6,6,0,0,0,30,72Z'/><path class='cls-3' d='M78,72a6,6,0,0,0-6,6v24a6,6,0,0,0,12,0V78A6,6,0,0,0,78,72Z'/><path class='cls-3' d='M54,48a6,6,0,0,0-6,6v48a6,6,0,0,0,12,0V54A6,6,0,0,0,54,48Z'/><path class='cls-3' d='M102,48a6,6,0,0,0-6,6v48a6,6,0,0,0,12,0V54A6,6,0,0,0,102,48Z'/></g></svg>"}}},{}],730:[function(t,e,r){"use strict";r.isLeftAnchor=function(t){return"left"===t.xanchor||"auto"===t.xanchor&&t.x<=1/3},r.isCenterAnchor=function(t){return"center"===t.xanchor||"auto"===t.xanchor&&t.x>1/3&&t.x<2/3},r.isRightAnchor=function(t){return"right"===t.xanchor||"auto"===t.xanchor&&t.x>=2/3},r.isTopAnchor=function(t){return"top"===t.yanchor||"auto"===t.yanchor&&t.y>=2/3},r.isMiddleAnchor=function(t){return"middle"===t.yanchor||"auto"===t.yanchor&&t.y>1/3&&t.y<2/3},r.isBottomAnchor=function(t){return"bottom"===t.yanchor||"auto"===t.yanchor&&t.y<=1/3}},{}],731:[function(t,e,r){"use strict";var n=t("./mod"),i=n.mod,a=n.modHalf,o=Math.PI,s=2*o;function l(t){return Math.abs(t[1]-t[0])>s-1e-14}function c(t,e){return a(e-t,s)}function u(t,e){if(l(e))return!0;var r,n;e[0]<e[1]?(r=e[0],n=e[1]):(r=e[1],n=e[0]),(r=i(r,s))>(n=i(n,s))&&(n+=s);var a=i(t,s),o=a+s;return a>=r&&a<=n||o>=r&&o<=n}function h(t,e,r,n,i,a,c){i=i||0,a=a||0;var u,h,f,p,d,g=l([r,n]);function m(t,e){return[t*Math.cos(e)+i,a-t*Math.sin(e)]}g?(u=0,h=o,f=s):r<n?(u=r,f=n):(u=n,f=r),t<e?(p=t,d=e):(p=e,d=t);var v,y=Math.abs(f-u)<=o?0:1;function x(t,e,r){return"A"+[t,t]+" "+[0,y,r]+" "+m(t,e)}return g?v=null===p?"M"+m(d,u)+x(d,h,0)+x(d,f,0)+"Z":"M"+m(p,u)+x(p,h,0)+x(p,f,0)+"ZM"+m(d,u)+x(d,h,1)+x(d,f,1)+"Z":null===p?(v="M"+m(d,u)+x(d,f,0),c&&(v+="L0,0Z")):v="M"+m(p,u)+"L"+m(d,u)+x(d,f,0)+"L"+m(p,f)+x(p,u,1)+"Z",v}e.exports={deg2rad:function(t){return t/180*o},rad2deg:function(t){return t/o*180},angleDelta:c,angleDist:function(t,e){return Math.abs(c(t,e))},isFullCircle:l,isAngleInsideSector:u,isPtInsideSector:function(t,e,r,n){return!!u(e,n)&&(r[0]<r[1]?(i=r[0],a=r[1]):(i=r[1],a=r[0]),t>=i&&t<=a);var i,a},pathArc:function(t,e,r,n,i){return h(null,t,e,r,n,i,0)},pathSector:function(t,e,r,n,i){return h(null,t,e,r,n,i,1)},pathAnnulus:function(t,e,r,n,i,a){return h(t,e,r,n,i,a,1)}}},{"./mod":757}],732:[function(t,e,r){"use strict";var n=Array.isArray,i="undefined"!=typeof ArrayBuffer&&ArrayBuffer.isView?ArrayBuffer:{isView:function(){return!1}},a="undefined"==typeof DataView?function(){}:DataView;function o(t){return i.isView(t)&&!(t instanceof a)}function s(t){return n(t)||o(t)}function l(t,e,r){if(s(t)){if(s(t[0])){for(var n=r,i=0;i<t.length;i++)n=e(n,t[i].length);return n}return t.length}return 0}r.isTypedArray=o,r.isArrayOrTypedArray=s,r.isArray1D=function(t){return!s(t[0])},r.ensureArray=function(t,e){return n(t)||(t=[]),t.length=e,t},r.concat=function(){var t,e,r,i,a,o,s,l,c=[],u=!0,h=0;for(r=0;r<arguments.length;r++)(o=(i=arguments[r]).length)&&(e?c.push(i):(e=i,a=o),n(i)?t=!1:(u=!1,h?t!==i.constructor&&(t=!1):t=i.constructor),h+=o);if(!h)return[];if(!c.length)return e;if(u)return e.concat.apply(e,c);if(t){for((s=new t(h)).set(e),r=0;r<c.length;r++)i=c[r],s.set(i,a),a+=i.length;return s}for(s=new Array(h),l=0;l<e.length;l++)s[l]=e[l];for(r=0;r<c.length;r++){for(i=c[r],l=0;l<i.length;l++)s[a+l]=i[l];a+=l}return s},r.maxRowLength=function(t){return l(t,Math.max,0)},r.minRowLength=function(t){return l(t,Math.min,1/0)}},{}],733:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../constants/numerical").BADNUM,a=/^['"%,$#\s']+|[, ]|['"%,$#\s']+$/g;e.exports=function(t){return"string"==typeof t&&(t=t.replace(a,"")),n(t)?Number(t):i}},{"../constants/numerical":725,"fast-isnumeric":241}],734:[function(t,e,r){"use strict";e.exports=function(t){var e=t._fullLayout;e._glcanvas&&e._glcanvas.size()&&e._glcanvas.each((function(t){t.regl&&t.regl.clear({color:!0,depth:!0})}))}},{}],735:[function(t,e,r){"use strict";e.exports=function(t){t._responsiveChartHandler&&(window.removeEventListener("resize",t._responsiveChartHandler),delete t._responsiveChartHandler)}},{}],736:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../plots/attributes"),o=t("../components/colorscale/scales"),s=t("../constants/interactions").DESELECTDIM,l=t("./nested_property"),c=t("./regex").counter,u=t("./mod").modHalf,h=t("./array").isArrayOrTypedArray;function f(t,e){var n=r.valObjectMeta[e.valType];if(e.arrayOk&&h(t))return!0;if(n.validateFunction)return n.validateFunction(t,e);var i={},a=i,o={set:function(t){a=t}};return n.coerceFunction(t,o,i,e),a!==i}r.valObjectMeta={data_array:{coerceFunction:function(t,e,r){h(t)?e.set(t):void 0!==r&&e.set(r)}},enumerated:{coerceFunction:function(t,e,r,n){n.coerceNumber&&(t=+t),-1===n.values.indexOf(t)?e.set(r):e.set(t)},validateFunction:function(t,e){e.coerceNumber&&(t=+t);for(var r=e.values,n=0;n<r.length;n++){var i=String(r[n]);if("/"===i.charAt(0)&&"/"===i.charAt(i.length-1)){if(new RegExp(i.substr(1,i.length-2)).test(t))return!0}else if(t===r[n])return!0}return!1}},boolean:{coerceFunction:function(t,e,r){!0===t||!1===t?e.set(t):e.set(r)}},number:{coerceFunction:function(t,e,r,i){!n(t)||void 0!==i.min&&t<i.min||void 0!==i.max&&t>i.max?e.set(r):e.set(+t)}},integer:{coerceFunction:function(t,e,r,i){t%1||!n(t)||void 0!==i.min&&t<i.min||void 0!==i.max&&t>i.max?e.set(r):e.set(+t)}},string:{coerceFunction:function(t,e,r,n){if("string"!=typeof t){var i="number"==typeof t;!0!==n.strict&&i?e.set(String(t)):e.set(r)}else n.noBlank&&!t?e.set(r):e.set(t)}},color:{coerceFunction:function(t,e,r){i(t).isValid()?e.set(t):e.set(r)}},colorlist:{coerceFunction:function(t,e,r){Array.isArray(t)&&t.length&&t.every((function(t){return i(t).isValid()}))?e.set(t):e.set(r)}},colorscale:{coerceFunction:function(t,e,r){e.set(o.get(t,r))}},angle:{coerceFunction:function(t,e,r){"auto"===t?e.set("auto"):n(t)?e.set(u(+t,360)):e.set(r)}},subplotid:{coerceFunction:function(t,e,r,n){var i=n.regex||c(r);"string"==typeof t&&i.test(t)?e.set(t):e.set(r)},validateFunction:function(t,e){var r=e.dflt;return t===r||"string"==typeof t&&!!c(r).test(t)}},flaglist:{coerceFunction:function(t,e,r,n){if("string"==typeof t)if(-1===(n.extras||[]).indexOf(t)){for(var i=t.split("+"),a=0;a<i.length;){var o=i[a];-1===n.flags.indexOf(o)||i.indexOf(o)<a?i.splice(a,1):a++}i.length?e.set(i.join("+")):e.set(r)}else e.set(t);else e.set(r)}},any:{coerceFunction:function(t,e,r){void 0===t?e.set(r):e.set(t)}},info_array:{coerceFunction:function(t,e,n,i){function a(t,e,n){var i,a={set:function(t){i=t}};return void 0===n&&(n=e.dflt),r.valObjectMeta[e.valType].coerceFunction(t,a,n,e),i}var o=2===i.dimensions||"1-2"===i.dimensions&&Array.isArray(t)&&Array.isArray(t[0]);if(Array.isArray(t)){var s,l,c,u,h,f,p=i.items,d=[],g=Array.isArray(p),m=g&&o&&Array.isArray(p[0]),v=o&&g&&!m,y=g&&!v?p.length:t.length;if(n=Array.isArray(n)?n:[],o)for(s=0;s<y;s++)for(d[s]=[],c=Array.isArray(t[s])?t[s]:[],h=v?p.length:g?p[s].length:c.length,l=0;l<h;l++)u=v?p[l]:g?p[s][l]:p,void 0!==(f=a(c[l],u,(n[s]||[])[l]))&&(d[s][l]=f);else for(s=0;s<y;s++)void 0!==(f=a(t[s],g?p[s]:p,n[s]))&&(d[s]=f);e.set(d)}else e.set(n)},validateFunction:function(t,e){if(!Array.isArray(t))return!1;var r=e.items,n=Array.isArray(r),i=2===e.dimensions;if(!e.freeLength&&t.length!==r.length)return!1;for(var a=0;a<t.length;a++)if(i){if(!Array.isArray(t[a])||!e.freeLength&&t[a].length!==r[a].length)return!1;for(var o=0;o<t[a].length;o++)if(!f(t[a][o],n?r[a][o]:r))return!1}else if(!f(t[a],n?r[a]:r))return!1;return!0}}},r.coerce=function(t,e,n,i,a){var o=l(n,i).get(),s=l(t,i),c=l(e,i),u=s.get(),p=e._template;if(void 0===u&&p&&(u=l(p,i).get(),p=0),void 0===a&&(a=o.dflt),o.arrayOk&&h(u))return c.set(u),u;var d=r.valObjectMeta[o.valType].coerceFunction;d(u,c,a,o);var g=c.get();return p&&g===a&&!f(u,o)&&(d(u=l(p,i).get(),c,a,o),g=c.get()),g},r.coerce2=function(t,e,n,i,a){var o=l(t,i),s=r.coerce(t,e,n,i,a),c=o.get();return null!=c&&s},r.coerceFont=function(t,e,r){var n={};return r=r||{},n.family=t(e+".family",r.family),n.size=t(e+".size",r.size),n.color=t(e+".color",r.color),n},r.coerceHoverinfo=function(t,e,n){var i,o=e._module.attributes,s=o.hoverinfo?o:a,l=s.hoverinfo;if(1===n._dataLength){var c="all"===l.dflt?l.flags.slice():l.dflt.split("+");c.splice(c.indexOf("name"),1),i=c.join("+")}return r.coerce(t,e,s,"hoverinfo",i)},r.coerceSelectionMarkerOpacity=function(t,e){if(t.marker){var r,n,i=t.marker.opacity;if(void 0!==i)h(i)||t.selected||t.unselected||(r=i,n=s*i),e("selected.marker.opacity",r),e("unselected.marker.opacity",n)}},r.validate=f},{"../components/colorscale/scales":630,"../constants/interactions":724,"../plots/attributes":795,"./array":732,"./mod":757,"./nested_property":758,"./regex":766,"fast-isnumeric":241,tinycolor2:548}],737:[function(t,e,r){"use strict";var n,i,a=t("d3-time-format").timeFormat,o=t("fast-isnumeric"),s=t("./loggers"),l=t("./mod").mod,c=t("../constants/numerical"),u=c.BADNUM,h=c.ONEDAY,f=c.ONEHOUR,p=c.ONEMIN,d=c.ONESEC,g=c.EPOCHJD,m=t("../registry"),v=t("d3-time-format").utcFormat,y=/^\s*(-?\d\d\d\d|\d\d)(-(\d?\d)(-(\d?\d)([ Tt]([01]?\d|2[0-3])(:([0-5]\d)(:([0-5]\d(\.\d+)?))?(Z|z|[+\-]\d\d(:?\d\d)?)?)?)?)?)?\s*$/m,x=/^\s*(-?\d\d\d\d|\d\d)(-(\d?\di?)(-(\d?\d)([ Tt]([01]?\d|2[0-3])(:([0-5]\d)(:([0-5]\d(\.\d+)?))?(Z|z|[+\-]\d\d(:?\d\d)?)?)?)?)?)?\s*$/m,b=(new Date).getFullYear()-70;function _(t){return t&&m.componentsRegistry.calendars&&"string"==typeof t&&"gregorian"!==t}function w(t,e){return String(t+Math.pow(10,e)).substr(1)}r.dateTick0=function(t,e){var n=function(t,e){return _(t)?e?m.getComponentMethod("calendars","CANONICAL_SUNDAY")[t]:m.getComponentMethod("calendars","CANONICAL_TICK")[t]:e?"2000-01-02":"2000-01-01"}(t,!!e);if(e<2)return n;var i=r.dateTime2ms(n,t);return i+=h*(e-1),r.ms2DateTime(i,0,t)},r.dfltRange=function(t){return _(t)?m.getComponentMethod("calendars","DFLTRANGE")[t]:["2000-01-01","2001-01-01"]},r.isJSDate=function(t){return"object"==typeof t&&null!==t&&"function"==typeof t.getTime},r.dateTime2ms=function(t,e){if(r.isJSDate(t)){var a=t.getTimezoneOffset()*p,o=(t.getUTCMinutes()-t.getMinutes())*p+(t.getUTCSeconds()-t.getSeconds())*d+(t.getUTCMilliseconds()-t.getMilliseconds());if(o){var s=3*p;a=a-s/2+l(o-a+s/2,s)}return(t=Number(t)-a)>=n&&t<=i?t:u}if("string"!=typeof t&&"number"!=typeof t)return u;t=String(t);var c=_(e),v=t.charAt(0);!c||"G"!==v&&"g"!==v||(t=t.substr(1),e="");var w=c&&"chinese"===e.substr(0,7),T=t.match(w?x:y);if(!T)return u;var k=T[1],M=T[3]||"1",A=Number(T[5]||1),S=Number(T[7]||0),E=Number(T[9]||0),C=Number(T[11]||0);if(c){if(2===k.length)return u;var L;k=Number(k);try{var P=m.getComponentMethod("calendars","getCal")(e);if(w){var I="i"===M.charAt(M.length-1);M=parseInt(M,10),L=P.newDate(k,P.toMonthIndex(k,M,I),A)}else L=P.newDate(k,Number(M),A)}catch(t){return u}return L?(L.toJD()-g)*h+S*f+E*p+C*d:u}k=2===k.length?(Number(k)+2e3-b)%100+b:Number(k),M-=1;var z=new Date(Date.UTC(2e3,M,A,S,E));return z.setUTCFullYear(k),z.getUTCMonth()!==M||z.getUTCDate()!==A?u:z.getTime()+C*d},n=r.MIN_MS=r.dateTime2ms("-9999"),i=r.MAX_MS=r.dateTime2ms("9999-12-31 23:59:59.9999"),r.isDateTime=function(t,e){return r.dateTime2ms(t,e)!==u};var T=90*h,k=3*f,M=5*p;function A(t,e,r,n,i){if((e||r||n||i)&&(t+=" "+w(e,2)+":"+w(r,2),(n||i)&&(t+=":"+w(n,2),i))){for(var a=4;i%10==0;)a-=1,i/=10;t+="."+w(i,a)}return t}r.ms2DateTime=function(t,e,r){if("number"!=typeof t||!(t>=n&&t<=i))return u;e||(e=0);var a,o,s,c,y,x,b=Math.floor(10*l(t+.05,1)),w=Math.round(t-b/10);if(_(r)){var S=Math.floor(w/h)+g,E=Math.floor(l(t,h));try{a=m.getComponentMethod("calendars","getCal")(r).fromJD(S).formatDate("yyyy-mm-dd")}catch(t){a=v("G%Y-%m-%d")(new Date(w))}if("-"===a.charAt(0))for(;a.length<11;)a="-0"+a.substr(1);else for(;a.length<10;)a="0"+a;o=e<T?Math.floor(E/f):0,s=e<T?Math.floor(E%f/p):0,c=e<k?Math.floor(E%p/d):0,y=e<M?E%d*10+b:0}else x=new Date(w),a=v("%Y-%m-%d")(x),o=e<T?x.getUTCHours():0,s=e<T?x.getUTCMinutes():0,c=e<k?x.getUTCSeconds():0,y=e<M?10*x.getUTCMilliseconds()+b:0;return A(a,o,s,c,y)},r.ms2DateTimeLocal=function(t){if(!(t>=n+h&&t<=i-h))return u;var e=Math.floor(10*l(t+.05,1)),r=new Date(Math.round(t-e/10));return A(a("%Y-%m-%d")(r),r.getHours(),r.getMinutes(),r.getSeconds(),10*r.getUTCMilliseconds()+e)},r.cleanDate=function(t,e,n){if(t===u)return e;if(r.isJSDate(t)||"number"==typeof t&&isFinite(t)){if(_(n))return s.error("JS Dates and milliseconds are incompatible with world calendars",t),e;if(!(t=r.ms2DateTimeLocal(+t))&&void 0!==e)return e}else if(!r.isDateTime(t,n))return s.error("unrecognized date",t),e;return t};var S=/%\d?f/g;function E(t,e,r,n){t=t.replace(S,(function(t){var r=Math.min(+t.charAt(1)||6,6);return(e/1e3%1+2).toFixed(r).substr(2).replace(/0+$/,"")||"0"}));var i=new Date(Math.floor(e+.05));if(_(n))try{t=m.getComponentMethod("calendars","worldCalFmt")(t,e,n)}catch(t){return"Invalid"}return r(t)(i)}var C=[59,59.9,59.99,59.999,59.9999];r.formatDate=function(t,e,r,n,i,a){if(i=_(i)&&i,!e)if("y"===r)e=a.year;else if("m"===r)e=a.month;else{if("d"!==r)return function(t,e){var r=l(t+.05,h),n=w(Math.floor(r/f),2)+":"+w(l(Math.floor(r/p),60),2);if("M"!==e){o(e)||(e=0);var i=(100+Math.min(l(t/d,60),C[e])).toFixed(e).substr(1);e>0&&(i=i.replace(/0+$/,"").replace(/[\.]$/,"")),n+=":"+i}return n}(t,r)+"\n"+E(a.dayMonthYear,t,n,i);e=a.dayMonth+"\n"+a.year}return E(e,t,n,i)};var L=3*h;r.incrementMonth=function(t,e,r){r=_(r)&&r;var n=l(t,h);if(t=Math.round(t-n),r)try{var i=Math.round(t/h)+g,a=m.getComponentMethod("calendars","getCal")(r),o=a.fromJD(i);return e%12?a.add(o,e,"m"):a.add(o,e/12,"y"),(o.toJD()-g)*h+n}catch(e){s.error("invalid ms "+t+" in calendar "+r)}var c=new Date(t+L);return c.setUTCMonth(c.getUTCMonth()+e)+n-L},r.findExactDates=function(t,e){for(var r,n,i=0,a=0,s=0,l=0,c=_(e)&&m.getComponentMethod("calendars","getCal")(e),u=0;u<t.length;u++)if(n=t[u],o(n)){if(!(n%h))if(c)try{1===(r=c.fromJD(n/h+g)).day()?1===r.month()?i++:a++:s++}catch(t){}else 1===(r=new Date(n)).getUTCDate()?0===r.getUTCMonth()?i++:a++:s++}else l++;s+=a+=i;var f=t.length-l;return{exactYears:i/f,exactMonths:a/f,exactDays:s/f}}},{"../constants/numerical":725,"../registry":882,"./loggers":754,"./mod":757,"d3-time-format":166,"fast-isnumeric":241}],738:[function(t,e,r){"use strict";var n=t("d3"),i=t("./loggers");function a(t){var e=t&&t.parentNode;e&&e.removeChild(t)}function o(t,e,r){var n="plotly.js-style-"+t,a=document.getElementById(n);a||((a=document.createElement("style")).setAttribute("id",n),a.appendChild(document.createTextNode("")),document.head.appendChild(a));var o=a.sheet;o.insertRule?o.insertRule(e+"{"+r+"}",0):o.addRule?o.addRule(e,r,0):i.warn("addStyleRule failed")}e.exports={getGraphDiv:function(t){var e;if("string"==typeof t){if(null===(e=document.getElementById(t)))throw new Error("No DOM element with id '"+t+"' exists on the page.");return e}if(null==t)throw new Error("DOM element provided is null or undefined");return t},isPlotDiv:function(t){var e=n.select(t);return e.node()instanceof HTMLElement&&e.size()&&e.classed("js-plotly-plot")},removeElement:a,addStyleRule:function(t,e){o("global",t,e)},addRelatedStyleRule:o,deleteRelatedStyleRule:function(t){var e="plotly.js-style-"+t,r=document.getElementById(e);r&&a(r)}}},{"./loggers":754,d3:169}],739:[function(t,e,r){"use strict";var n=t("events").EventEmitter,i={init:function(t){if(t._ev instanceof n)return t;var e=new n,r=new n;return t._ev=e,t._internalEv=r,t.on=e.on.bind(e),t.once=e.once.bind(e),t.removeListener=e.removeListener.bind(e),t.removeAllListeners=e.removeAllListeners.bind(e),t._internalOn=r.on.bind(r),t._internalOnce=r.once.bind(r),t._removeInternalListener=r.removeListener.bind(r),t._removeAllInternalListeners=r.removeAllListeners.bind(r),t.emit=function(n,i){"undefined"!=typeof jQuery&&jQuery(t).trigger(n,i),e.emit(n,i),r.emit(n,i)},t},triggerHandler:function(t,e,r){var n,i;"undefined"!=typeof jQuery&&(n=jQuery(t).triggerHandler(e,r));var a=t._ev;if(!a)return n;var o,s=a._events[e];if(!s)return n;function l(t){return t.listener?(a.removeListener(e,t.listener),t.fired?void 0:(t.fired=!0,t.listener.apply(a,[r]))):t.apply(a,[r])}for(s=Array.isArray(s)?s:[s],o=0;o<s.length-1;o++)l(s[o]);return i=l(s[o]),void 0!==n?n:i},purge:function(t){return delete t._ev,delete t.on,delete t.once,delete t.removeListener,delete t.removeAllListeners,delete t.emit,delete t._ev,delete t._internalEv,delete t._internalOn,delete t._internalOnce,delete t._removeInternalListener,delete t._removeAllInternalListeners,t}};e.exports=i},{events:110}],740:[function(t,e,r){"use strict";var n=t("./is_plain_object.js"),i=Array.isArray;function a(t,e,r,o){var s,l,c,u,h,f,p=t[0],d=t.length;if(2===d&&i(p)&&i(t[1])&&0===p.length){if(function(t,e){var r,n;for(r=0;r<t.length;r++){if(null!==(n=t[r])&&"object"==typeof n)return!1;void 0!==n&&(e[r]=n)}return!0}(t[1],p))return p;p.splice(0,p.length)}for(var g=1;g<d;g++)for(l in s=t[g])c=p[l],u=s[l],o&&i(u)?p[l]=u:e&&u&&(n(u)||(h=i(u)))?(h?(h=!1,f=c&&i(c)?c:[]):f=c&&n(c)?c:{},p[l]=a([f,u],e,r,o)):("undefined"!=typeof u||r)&&(p[l]=u);return p}r.extendFlat=function(){return a(arguments,!1,!1,!1)},r.extendDeep=function(){return a(arguments,!0,!1,!1)},r.extendDeepAll=function(){return a(arguments,!0,!0,!1)},r.extendDeepNoArrays=function(){return a(arguments,!0,!1,!0)}},{"./is_plain_object.js":751}],741:[function(t,e,r){"use strict";e.exports=function(t){for(var e={},r=[],n=0,i=0;i<t.length;i++){var a=t[i];1!==e[a]&&(e[a]=1,r[n++]=a)}return r}},{}],742:[function(t,e,r){"use strict";function n(t){return!0===t.visible}function i(t){var e=t[0].trace;return!0===e.visible&&0!==e._length}e.exports=function(t){for(var e,r=(e=t,Array.isArray(e)&&Array.isArray(e[0])&&e[0][0]&&e[0][0].trace?i:n),a=[],o=0;o<t.length;o++){var s=t[o];r(s)&&a.push(s)}return a}},{}],743:[function(t,e,r){"use strict";var n=t("d3"),i=t("country-regex"),a=t("@turf/area"),o=t("@turf/centroid"),s=t("@turf/bbox"),l=t("./identity"),c=t("./loggers"),u=t("./is_plain_object"),h=t("./nested_property"),f=t("./polygon"),p=Object.keys(i),d={"ISO-3":l,"USA-states":l,"country names":function(t){for(var e=0;e<p.length;e++){var r=p[e];if(new RegExp(i[r]).test(t.trim().toLowerCase()))return r}return c.log("Unrecognized country name: "+t+"."),!1}};function g(t){var e=t.geojson,r=window.PlotlyGeoAssets||{},n="string"==typeof e?r[e]:e;return u(n)?n:(c.error("Oops ... something went wrong when fetching "+e),!1)}e.exports={locationToFeature:function(t,e,r){if(!e||"string"!=typeof e)return!1;var n,i,a,o=d[t](e);if(o){if("USA-states"===t)for(n=[],a=0;a<r.length;a++)(i=r[a]).properties&&i.properties.gu&&"USA"===i.properties.gu&&n.push(i);else n=r;for(a=0;a<n.length;a++)if((i=n[a]).id===o)return i;c.log(["Location with id",o,"does not have a matching topojson feature at this resolution."].join(" "))}return!1},feature2polygons:function(t){var e,r,n,i,a=t.geometry,o=a.coordinates,s=t.id,l=[];function c(t){for(var e=0;e<t.length-1;e++)if(t[e][0]>0&&t[e+1][0]<0)return e;return null}switch(e="RUS"===s||"FJI"===s?function(t){var e;if(null===c(t))e=t;else for(e=new Array(t.length),i=0;i<t.length;i++)e[i]=[t[i][0]<0?t[i][0]+360:t[i][0],t[i][1]];l.push(f.tester(e))}:"ATA"===s?function(t){var e=c(t);if(null===e)return l.push(f.tester(t));var r=new Array(t.length+1),n=0;for(i=0;i<t.length;i++)i>e?r[n++]=[t[i][0]+360,t[i][1]]:i===e?(r[n++]=t[i],r[n++]=[t[i][0],-90]):r[n++]=t[i];var a=f.tester(r);a.pts.pop(),l.push(a)}:function(t){l.push(f.tester(t))},a.type){case"MultiPolygon":for(r=0;r<o.length;r++)for(n=0;n<o[r].length;n++)e(o[r][n]);break;case"Polygon":for(r=0;r<o.length;r++)e(o[r])}return l},getTraceGeojson:g,extractTraceFeature:function(t){var e=t[0].trace,r=g(e);if(!r)return!1;var n,i={},s=[];for(n=0;n<e._length;n++){var l=t[n];(l.loc||0===l.loc)&&(i[l.loc]=l)}function u(t){var r=h(t,e.featureidkey||"id").get(),n=i[r];if(n){var l=t.geometry;if("Polygon"===l.type||"MultiPolygon"===l.type){var u={type:"Feature",id:r,geometry:l,properties:{}};u.properties.ct=function(t){var e,r=t.geometry;if("MultiPolygon"===r.type)for(var n=r.coordinates,i=0,s=0;s<n.length;s++){var l={type:"Polygon",coordinates:n[s]},c=a.default(l);c>i&&(i=c,e=l)}else e=r;return o.default(e).geometry.coordinates}(u),n.fIn=t,n.fOut=u,s.push(u)}else c.log(["Location",n.loc,"does not have a valid GeoJSON geometry.","Traces with locationmode *geojson-id* only support","*Polygon* and *MultiPolygon* geometries."].join(" "))}delete i[r]}switch(r.type){case"FeatureCollection":var f=r.features;for(n=0;n<f.length;n++)u(f[n]);break;case"Feature":u(r);break;default:return c.warn(["Invalid GeoJSON type",(r.type||"none")+".","Traces with locationmode *geojson-id* only support","*FeatureCollection* and *Feature* types."].join(" ")),!1}for(var p in i)c.log(["Location *"+p+"*","does not have a matching feature with id-key","*"+e.featureidkey+"*."].join(" "));return s},fetchTraceGeoData:function(t){var e=window.PlotlyGeoAssets||{},r=[];function i(t){return new Promise((function(r,i){n.json(t,(function(n,a){if(n){delete e[t];var o=404===n.status?'GeoJSON at URL "'+t+'" does not exist.':"Unexpected error while fetching from "+t;return i(new Error(o))}return e[t]=a,r(a)}))}))}function a(t){return new Promise((function(r,n){var i=0,a=setInterval((function(){return e[t]&&"pending"!==e[t]?(clearInterval(a),r(e[t])):i>100?(clearInterval(a),n("Unexpected error while fetching from "+t)):void i++}),50)}))}for(var o=0;o<t.length;o++){var s=t[o][0].trace.geojson;"string"==typeof s&&(e[s]?"pending"===e[s]&&r.push(a(s)):(e[s]="pending",r.push(i(s))))}return r},computeBbox:function(t){return s.default(t)}}},{"./identity":748,"./is_plain_object":751,"./loggers":754,"./nested_property":758,"./polygon":762,"@turf/area":59,"@turf/bbox":60,"@turf/centroid":61,"country-regex":139,d3:169}],744:[function(t,e,r){"use strict";var n=t("../constants/numerical").BADNUM;r.calcTraceToLineCoords=function(t){for(var e=t[0].trace.connectgaps,r=[],i=[],a=0;a<t.length;a++){var o=t[a].lonlat;o[0]!==n?i.push(o):!e&&i.length>0&&(r.push(i),i=[])}return i.length>0&&r.push(i),r},r.makeLine=function(t){return 1===t.length?{type:"LineString",coordinates:t[0]}:{type:"MultiLineString",coordinates:t}},r.makePolygon=function(t){if(1===t.length)return{type:"Polygon",coordinates:t};for(var e=new Array(t.length),r=0;r<t.length;r++)e[r]=[t[r]];return{type:"MultiPolygon",coordinates:e}},r.makeBlank=function(){return{type:"Point",coordinates:[]}}},{"../constants/numerical":725}],745:[function(t,e,r){"use strict";var n,i,a,o=t("./mod").mod;function s(t,e,r,n,i,a,o,s){var l=r-t,c=i-t,u=o-i,h=n-e,f=a-e,p=s-a,d=l*p-u*h;if(0===d)return null;var g=(c*p-u*f)/d,m=(c*h-l*f)/d;return m<0||m>1||g<0||g>1?null:{x:t+l*g,y:e+h*g}}function l(t,e,r,n,i){var a=n*t+i*e;if(a<0)return n*n+i*i;if(a>r){var o=n-t,s=i-e;return o*o+s*s}var l=n*e-i*t;return l*l/r}r.segmentsIntersect=s,r.segmentDistance=function(t,e,r,n,i,a,o,c){if(s(t,e,r,n,i,a,o,c))return 0;var u=r-t,h=n-e,f=o-i,p=c-a,d=u*u+h*h,g=f*f+p*p,m=Math.min(l(u,h,d,i-t,a-e),l(u,h,d,o-t,c-e),l(f,p,g,t-i,e-a),l(f,p,g,r-i,n-a));return Math.sqrt(m)},r.getTextLocation=function(t,e,r,s){if(t===i&&s===a||(n={},i=t,a=s),n[r])return n[r];var l=t.getPointAtLength(o(r-s/2,e)),c=t.getPointAtLength(o(r+s/2,e)),u=Math.atan((c.y-l.y)/(c.x-l.x)),h=t.getPointAtLength(o(r,e)),f={x:(4*h.x+l.x+c.x)/6,y:(4*h.y+l.y+c.y)/6,theta:u};return n[r]=f,f},r.clearLocationCache=function(){i=null},r.getVisibleSegment=function(t,e,r){var n,i,a=e.left,o=e.right,s=e.top,l=e.bottom,c=0,u=t.getTotalLength(),h=u;function f(e){var r=t.getPointAtLength(e);0===e?n=r:e===u&&(i=r);var c=r.x<a?a-r.x:r.x>o?r.x-o:0,h=r.y<s?s-r.y:r.y>l?r.y-l:0;return Math.sqrt(c*c+h*h)}for(var p=f(c);p;){if((c+=p+r)>h)return;p=f(c)}for(p=f(h);p;){if(c>(h-=p+r))return;p=f(h)}return{min:c,max:h,len:h-c,total:u,isClosed:0===c&&h===u&&Math.abs(n.x-i.x)<.1&&Math.abs(n.y-i.y)<.1}},r.findPointOnPath=function(t,e,r,n){for(var i,a,o,s=(n=n||{}).pathLength||t.getTotalLength(),l=n.tolerance||.001,c=n.iterationLimit||30,u=t.getPointAtLength(0)[r]>t.getPointAtLength(s)[r]?-1:1,h=0,f=0,p=s;h<c;){if(i=(f+p)/2,o=(a=t.getPointAtLength(i))[r]-e,Math.abs(o)<l)return a;u*o>0?p=i:f=i,h++}return a}},{"./mod":757}],746:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("color-normalize"),o=t("../components/colorscale"),s=t("../components/color/attributes").defaultLine,l=t("./array").isArrayOrTypedArray,c=a(s);function u(t,e){var r=t;return r[3]*=e,r}function h(t){if(n(t))return c;var e=a(t);return e.length?e:c}function f(t){return n(t)?t:1}e.exports={formatColor:function(t,e,r){var n,i,s,p,d,g=t.color,m=l(g),v=l(e),y=o.extractOpts(t),x=[];if(n=void 0!==y.colorscale?o.makeColorScaleFuncFromTrace(t):h,i=m?function(t,e){return void 0===t[e]?c:a(n(t[e]))}:h,s=v?function(t,e){return void 0===t[e]?1:f(t[e])}:f,m||v)for(var b=0;b<r;b++)p=i(g,b),d=s(e,b),x[b]=u(p,d);else x=u(a(g),e);return x},parseColorScale:function(t){var e=o.extractOpts(t),r=e.colorscale;return e.reversescale&&(r=o.flipScale(e.colorscale)),r.map((function(t){var e=t[0],r=i(t[1]).toRgb();return{index:e,rgb:[r.r,r.g,r.b,r.a]}}))}}},{"../components/color/attributes":614,"../components/colorscale":627,"./array":732,"color-normalize":125,"fast-isnumeric":241,tinycolor2:548}],747:[function(t,e,r){"use strict";var n=t("./identity");function i(t){return[t]}e.exports={keyFun:function(t){return t.key},repeat:i,descend:n,wrap:i,unwrap:function(t){return t[0]}}},{"./identity":748}],748:[function(t,e,r){"use strict";e.exports=function(t){return t}},{}],749:[function(t,e,r){"use strict";e.exports=function(t,e){if(!e)return t;var r=1/Math.abs(e),n=r>1?(r*t+r*e)/r:t+e,i=String(n).length;if(i>16){var a=String(e).length;if(i>=String(t).length+a){var o=parseFloat(n).toPrecision(12);-1===o.indexOf("e+")&&(n=+o)}}return n}},{}],750:[function(t,e,r){"use strict";var n=t("d3"),i=t("d3-time-format").utcFormat,a=t("fast-isnumeric"),o=t("../constants/numerical"),s=o.FP_SAFE,l=o.BADNUM,c=e.exports={};c.nestedProperty=t("./nested_property"),c.keyedContainer=t("./keyed_container"),c.relativeAttr=t("./relative_attr"),c.isPlainObject=t("./is_plain_object"),c.toLogRange=t("./to_log_range"),c.relinkPrivateKeys=t("./relink_private");var u=t("./array");c.isTypedArray=u.isTypedArray,c.isArrayOrTypedArray=u.isArrayOrTypedArray,c.isArray1D=u.isArray1D,c.ensureArray=u.ensureArray,c.concat=u.concat,c.maxRowLength=u.maxRowLength,c.minRowLength=u.minRowLength;var h=t("./mod");c.mod=h.mod,c.modHalf=h.modHalf;var f=t("./coerce");c.valObjectMeta=f.valObjectMeta,c.coerce=f.coerce,c.coerce2=f.coerce2,c.coerceFont=f.coerceFont,c.coerceHoverinfo=f.coerceHoverinfo,c.coerceSelectionMarkerOpacity=f.coerceSelectionMarkerOpacity,c.validate=f.validate;var p=t("./dates");c.dateTime2ms=p.dateTime2ms,c.isDateTime=p.isDateTime,c.ms2DateTime=p.ms2DateTime,c.ms2DateTimeLocal=p.ms2DateTimeLocal,c.cleanDate=p.cleanDate,c.isJSDate=p.isJSDate,c.formatDate=p.formatDate,c.incrementMonth=p.incrementMonth,c.dateTick0=p.dateTick0,c.dfltRange=p.dfltRange,c.findExactDates=p.findExactDates,c.MIN_MS=p.MIN_MS,c.MAX_MS=p.MAX_MS;var d=t("./search");c.findBin=d.findBin,c.sorterAsc=d.sorterAsc,c.sorterDes=d.sorterDes,c.distinctVals=d.distinctVals,c.roundUp=d.roundUp,c.sort=d.sort,c.findIndexOfMin=d.findIndexOfMin;var g=t("./stats");c.aggNums=g.aggNums,c.len=g.len,c.mean=g.mean,c.median=g.median,c.midRange=g.midRange,c.variance=g.variance,c.stdev=g.stdev,c.interp=g.interp;var m=t("./matrix");c.init2dArray=m.init2dArray,c.transposeRagged=m.transposeRagged,c.dot=m.dot,c.translationMatrix=m.translationMatrix,c.rotationMatrix=m.rotationMatrix,c.rotationXYMatrix=m.rotationXYMatrix,c.apply2DTransform=m.apply2DTransform,c.apply2DTransform2=m.apply2DTransform2;var v=t("./angles");c.deg2rad=v.deg2rad,c.rad2deg=v.rad2deg,c.angleDelta=v.angleDelta,c.angleDist=v.angleDist,c.isFullCircle=v.isFullCircle,c.isAngleInsideSector=v.isAngleInsideSector,c.isPtInsideSector=v.isPtInsideSector,c.pathArc=v.pathArc,c.pathSector=v.pathSector,c.pathAnnulus=v.pathAnnulus;var y=t("./anchor_utils");c.isLeftAnchor=y.isLeftAnchor,c.isCenterAnchor=y.isCenterAnchor,c.isRightAnchor=y.isRightAnchor,c.isTopAnchor=y.isTopAnchor,c.isMiddleAnchor=y.isMiddleAnchor,c.isBottomAnchor=y.isBottomAnchor;var x=t("./geometry2d");c.segmentsIntersect=x.segmentsIntersect,c.segmentDistance=x.segmentDistance,c.getTextLocation=x.getTextLocation,c.clearLocationCache=x.clearLocationCache,c.getVisibleSegment=x.getVisibleSegment,c.findPointOnPath=x.findPointOnPath;var b=t("./extend");c.extendFlat=b.extendFlat,c.extendDeep=b.extendDeep,c.extendDeepAll=b.extendDeepAll,c.extendDeepNoArrays=b.extendDeepNoArrays;var _=t("./loggers");c.log=_.log,c.warn=_.warn,c.error=_.error;var w=t("./regex");c.counterRegex=w.counter;var T=t("./throttle");c.throttle=T.throttle,c.throttleDone=T.done,c.clearThrottle=T.clear;var k=t("./dom");function M(t){var e={};for(var r in t)for(var n=t[r],i=0;i<n.length;i++)e[n[i]]=+r;return e}c.getGraphDiv=k.getGraphDiv,c.isPlotDiv=k.isPlotDiv,c.removeElement=k.removeElement,c.addStyleRule=k.addStyleRule,c.addRelatedStyleRule=k.addRelatedStyleRule,c.deleteRelatedStyleRule=k.deleteRelatedStyleRule,c.clearResponsive=t("./clear_responsive"),c.makeTraceGroups=t("./make_trace_groups"),c._=t("./localize"),c.notifier=t("./notifier"),c.filterUnique=t("./filter_unique"),c.filterVisible=t("./filter_visible"),c.pushUnique=t("./push_unique"),c.increment=t("./increment"),c.cleanNumber=t("./clean_number"),c.ensureNumber=function(t){return a(t)?(t=Number(t))<-s||t>s?l:a(t)?Number(t):l:l},c.isIndex=function(t,e){return!(void 0!==e&&t>=e)&&(a(t)&&t>=0&&t%1==0)},c.noop=t("./noop"),c.identity=t("./identity"),c.repeat=function(t,e){for(var r=new Array(e),n=0;n<e;n++)r[n]=t;return r},c.swapAttrs=function(t,e,r,n){r||(r="x"),n||(n="y");for(var i=0;i<e.length;i++){var a=e[i],o=c.nestedProperty(t,a.replace("?",r)),s=c.nestedProperty(t,a.replace("?",n)),l=o.get();o.set(s.get()),s.set(l)}},c.raiseToTop=function(t){t.parentNode.appendChild(t)},c.cancelTransition=function(t){return t.transition().duration(0)},c.constrain=function(t,e,r){return e>r?Math.max(r,Math.min(e,t)):Math.max(e,Math.min(r,t))},c.bBoxIntersect=function(t,e,r){return r=r||0,t.left<=e.right+r&&e.left<=t.right+r&&t.top<=e.bottom+r&&e.top<=t.bottom+r},c.simpleMap=function(t,e,r,n,i){for(var a=t.length,o=new Array(a),s=0;s<a;s++)o[s]=e(t[s],r,n,i);return o},c.randstr=function t(e,r,n,i){if(n||(n=16),void 0===r&&(r=24),r<=0)return"0";var a,o,s=Math.log(Math.pow(2,r))/Math.log(n),l="";for(a=2;s===1/0;a*=2)s=Math.log(Math.pow(2,r/a))/Math.log(n)*a;var u=s-Math.floor(s);for(a=0;a<Math.floor(s);a++)l=Math.floor(Math.random()*n).toString(n)+l;u&&(o=Math.pow(n,u),l=Math.floor(Math.random()*o).toString(n)+l);var h=parseInt(l,n);return e&&e[l]||h!==1/0&&h>=Math.pow(2,r)?i>10?(c.warn("randstr failed uniqueness"),l):t(e,r,n,(i||0)+1):l},c.OptionControl=function(t,e){t||(t={}),e||(e="opt");var r={optionList:[],_newoption:function(n){n[e]=t,r[n.name]=n,r.optionList.push(n)}};return r["_"+e]=t,r},c.smooth=function(t,e){if((e=Math.round(e)||0)<2)return t;var r,n,i,a,o=t.length,s=2*o,l=2*e-1,c=new Array(l),u=new Array(o);for(r=0;r<l;r++)c[r]=(1-Math.cos(Math.PI*(r+1)/e))/(2*e);for(r=0;r<o;r++){for(a=0,n=0;n<l;n++)(i=r+n+1-e)<-o?i-=s*Math.round(i/s):i>=s&&(i-=s*Math.floor(i/s)),i<0?i=-1-i:i>=o&&(i=s-1-i),a+=t[i]*c[n];u[r]=a}return u},c.syncOrAsync=function(t,e,r){var n;function i(){return c.syncOrAsync(t,e,r)}for(;t.length;)if((n=(0,t.splice(0,1)[0])(e))&&n.then)return n.then(i).then(void 0,c.promiseError);return r&&r(e)},c.stripTrailingSlash=function(t){return"/"===t.substr(-1)?t.substr(0,t.length-1):t},c.noneOrAll=function(t,e,r){if(t){var n,i=!1,a=!0;for(n=0;n<r.length;n++)null!=t[r[n]]?i=!0:a=!1;if(i&&!a)for(n=0;n<r.length;n++)t[r[n]]=e[r[n]]}},c.mergeArray=function(t,e,r,n){var i="function"==typeof n;if(c.isArrayOrTypedArray(t))for(var a=Math.min(t.length,e.length),o=0;o<a;o++){var s=t[o];e[o][r]=i?n(s):s}},c.mergeArrayCastPositive=function(t,e,r){return c.mergeArray(t,e,r,(function(t){var e=+t;return isFinite(e)&&e>0?e:0}))},c.fillArray=function(t,e,r,n){if(n=n||c.identity,c.isArrayOrTypedArray(t))for(var i=0;i<e.length;i++)e[i][r]=n(t[i])},c.castOption=function(t,e,r,n){n=n||c.identity;var i=c.nestedProperty(t,r).get();return c.isArrayOrTypedArray(i)?Array.isArray(e)&&c.isArrayOrTypedArray(i[e[0]])?n(i[e[0]][e[1]]):n(i[e]):i},c.extractOption=function(t,e,r,n){if(r in t)return t[r];var i=c.nestedProperty(e,n).get();return Array.isArray(i)?void 0:i},c.tagSelected=function(t,e,r){var n,i,a=e.selectedpoints,o=e._indexToPoints;o&&(n=M(o));for(var s=0;s<a.length;s++){var l=a[s];if(c.isIndex(l)||c.isArrayOrTypedArray(l)&&c.isIndex(l[0])&&c.isIndex(l[1])){var u=n?n[l]:l,h=r?r[u]:u;void 0!==(i=h)&&i<t.length&&(t[h].selected=1)}}},c.selIndices2selPoints=function(t){var e=t.selectedpoints,r=t._indexToPoints;if(r){for(var n=M(r),i=[],a=0;a<e.length;a++){var o=e[a];if(c.isIndex(o)){var s=n[o];c.isIndex(s)&&i.push(s)}}return i}return e},c.getTargetArray=function(t,e){var r=e.target;if("string"==typeof r&&r){var n=c.nestedProperty(t,r).get();return!!Array.isArray(n)&&n}return!!Array.isArray(r)&&r},c.minExtend=function(t,e){var r={};"object"!=typeof e&&(e={});var n,i,a,o=Object.keys(t);for(n=0;n<o.length;n++)a=t[i=o[n]],"_"!==i.charAt(0)&&"function"!=typeof a&&("module"===i?r[i]=a:Array.isArray(a)?r[i]="colorscale"===i?a.slice():a.slice(0,3):c.isTypedArray(a)?r[i]=a.subarray(0,3):r[i]=a&&"object"==typeof a?c.minExtend(t[i],e[i]):a);for(o=Object.keys(e),n=0;n<o.length;n++)"object"==typeof(a=e[i=o[n]])&&i in r&&"object"==typeof r[i]||(r[i]=a);return r},c.titleCase=function(t){return t.charAt(0).toUpperCase()+t.substr(1)},c.containsAny=function(t,e){for(var r=0;r<e.length;r++)if(-1!==t.indexOf(e[r]))return!0;return!1},c.isIE=function(){return"undefined"!=typeof window.navigator.msSaveBlob};var A=/MSIE [1-9]\./;c.isIE9orBelow=function(){return c.isIE()&&A.test(window.navigator.userAgent)};var S=/Version\/[\d\.]+.*Safari/;c.isSafari=function(){return S.test(window.navigator.userAgent)};var E=/iPad|iPhone|iPod/;c.isIOS=function(){return E.test(window.navigator.userAgent)},c.isD3Selection=function(t){return t&&"function"==typeof t.classed},c.ensureSingle=function(t,e,r,n){var i=t.select(e+(r?"."+r:""));if(i.size())return i;var a=t.append(e);return r&&a.classed(r,!0),n&&a.call(n),a},c.ensureSingleById=function(t,e,r,n){var i=t.select(e+"#"+r);if(i.size())return i;var a=t.append(e).attr("id",r);return n&&a.call(n),a},c.objectFromPath=function(t,e){for(var r,n=t.split("."),i=r={},a=0;a<n.length;a++){var o=n[a],s=null,l=n[a].match(/(.*)\[([0-9]+)\]/);l?(o=l[1],s=l[2],r=r[o]=[],a===n.length-1?r[s]=e:r[s]={},r=r[s]):(a===n.length-1?r[o]=e:r[o]={},r=r[o])}return i};var C=/^([^\[\.]+)\.(.+)?/,L=/^([^\.]+)\[([0-9]+)\](\.)?(.+)?/;c.expandObjectPaths=function(t){var e,r,n,i,a,o,s;if("object"==typeof t&&!Array.isArray(t))for(r in t)t.hasOwnProperty(r)&&((e=r.match(C))?(i=t[r],n=e[1],delete t[r],t[n]=c.extendDeepNoArrays(t[n]||{},c.objectFromPath(r,c.expandObjectPaths(i))[n])):(e=r.match(L))?(i=t[r],n=e[1],a=parseInt(e[2]),delete t[r],t[n]=t[n]||[],"."===e[3]?(s=e[4],o=t[n][a]=t[n][a]||{},c.extendDeepNoArrays(o,c.objectFromPath(s,c.expandObjectPaths(i)))):t[n][a]=c.expandObjectPaths(i)):t[r]=c.expandObjectPaths(t[r]));return t},c.numSeparate=function(t,e,r){if(r||(r=!1),"string"!=typeof e||0===e.length)throw new Error("Separator string required for formatting!");"number"==typeof t&&(t=String(t));var n=/(\d+)(\d{3})/,i=e.charAt(0),a=e.charAt(1),o=t.split("."),s=o[0],l=o.length>1?i+o[1]:"";if(a&&(o.length>1||s.length>4||r))for(;n.test(s);)s=s.replace(n,"$1"+a+"$2");return s+l},c.TEMPLATE_STRING_REGEX=/%{([^\s%{}:]*)([:|\|][^}]*)?}/g;var P=/^\w*$/;c.templateString=function(t,e){var r={};return t.replace(c.TEMPLATE_STRING_REGEX,(function(t,n){var i;return P.test(n)?i=e[n]:(r[n]=r[n]||c.nestedProperty(e,n).get,i=r[n]()),c.isValidTextValue(i)?i:""}))};var I={max:10,count:0,name:"hovertemplate"};c.hovertemplateString=function(){return D.apply(I,arguments)};var z={max:10,count:0,name:"texttemplate"};c.texttemplateString=function(){return D.apply(z,arguments)};var O=/^[:|\|]/;function D(t,e,r){var a=this,o=arguments;e||(e={});var s={};return t.replace(c.TEMPLATE_STRING_REGEX,(function(t,l,u){var h,f,p,d;for(p=3;p<o.length;p++)if(h=o[p]){if(h.hasOwnProperty(l)){f=h[l];break}if(P.test(l)||(f=s[l]||c.nestedProperty(h,l).get())&&(s[l]=f),void 0!==f)break}if(void 0===f&&a)return a.count<a.max&&(c.warn("Variable '"+l+"' in "+a.name+" could not be found!"),f=t),a.count===a.max&&c.warn("Too many "+a.name+" warnings - additional warnings will be suppressed"),a.count++,t;if(u){if(":"===u[0]&&(f=(d=r?r.numberFormat:n.format)(u.replace(O,""))(f)),"|"===u[0]){d=r?r.timeFormat:i;var g=c.dateTime2ms(f);f=c.formatDate(g,u.replace(O,""),!1,d)}}else e.hasOwnProperty(l+"Label")&&(f=e[l+"Label"]);return f}))}c.subplotSort=function(t,e){for(var r=Math.min(t.length,e.length)+1,n=0,i=0,a=0;a<r;a++){var o=t.charCodeAt(a)||0,s=e.charCodeAt(a)||0,l=o>=48&&o<=57,c=s>=48&&s<=57;if(l&&(n=10*n+o-48),c&&(i=10*i+s-48),!l||!c){if(n!==i)return n-i;if(o!==s)return o-s}}return i-n};var R=2e9;c.seedPseudoRandom=function(){R=2e9},c.pseudoRandom=function(){var t=R;return R=(69069*R+1)%4294967296,Math.abs(R-t)<429496729?c.pseudoRandom():R/4294967296},c.fillText=function(t,e,r){var n=Array.isArray(r)?function(t){r.push(t)}:function(t){r.text=t},i=c.extractOption(t,e,"htx","hovertext");if(c.isValidTextValue(i))return n(i);var a=c.extractOption(t,e,"tx","text");return c.isValidTextValue(a)?n(a):void 0},c.isValidTextValue=function(t){return t||0===t},c.formatPercent=function(t,e){e=e||0;for(var r=(Math.round(100*t*Math.pow(10,e))*Math.pow(.1,e)).toFixed(e)+"%",n=0;n<e;n++)-1!==r.indexOf(".")&&(r=(r=r.replace("0%","%")).replace(".%","%"));return r},c.isHidden=function(t){var e=window.getComputedStyle(t).display;return!e||"none"===e},c.getTextTransform=function(t){var e=t.noCenter,r=t.textX,n=t.textY,i=t.targetX,a=t.targetY,o=t.anchorX||0,s=t.anchorY||0,l=t.rotate,c=t.scale;return c?c>1&&(c=1):c=0,"translate("+(i-c*(r+o))+","+(a-c*(n+s))+")"+(c<1?"scale("+c+")":"")+(l?"rotate("+l+(e?"":" "+r+" "+n)+")":"")},c.ensureUniformFontSize=function(t,e){var r=c.extendFlat({},e);return r.size=Math.max(e.size,t._fullLayout.uniformtext.minsize||0),r},c.join2=function(t,e,r){var n=t.length;return n>1?t.slice(0,-1).join(e)+r+t[n-1]:t.join(e)}},{"../constants/numerical":725,"./anchor_utils":730,"./angles":731,"./array":732,"./clean_number":733,"./clear_responsive":735,"./coerce":736,"./dates":737,"./dom":738,"./extend":740,"./filter_unique":741,"./filter_visible":742,"./geometry2d":745,"./identity":748,"./increment":749,"./is_plain_object":751,"./keyed_container":752,"./localize":753,"./loggers":754,"./make_trace_groups":755,"./matrix":756,"./mod":757,"./nested_property":758,"./noop":759,"./notifier":760,"./push_unique":764,"./regex":766,"./relative_attr":767,"./relink_private":768,"./search":769,"./stats":772,"./throttle":775,"./to_log_range":776,d3:169,"d3-time-format":166,"fast-isnumeric":241}],751:[function(t,e,r){"use strict";e.exports=function(t){return window&&window.process&&window.process.versions?"[object Object]"===Object.prototype.toString.call(t):"[object Object]"===Object.prototype.toString.call(t)&&Object.getPrototypeOf(t)===Object.prototype}},{}],752:[function(t,e,r){"use strict";var n=t("./nested_property"),i=/^\w*$/;e.exports=function(t,e,r,a){var o,s,l;r=r||"name",a=a||"value";var c={};e&&e.length?(l=n(t,e),s=l.get()):s=t,e=e||"";var u={};if(s)for(o=0;o<s.length;o++)u[s[o][r]]=o;var h=i.test(a),f={set:function(t,e){var i=null===e?4:0;if(!s){if(!l||4===i)return;s=[],l.set(s)}var o=u[t];if(void 0===o){if(4===i)return;i|=3,o=s.length,u[t]=o}else e!==(h?s[o][a]:n(s[o],a).get())&&(i|=2);var p=s[o]=s[o]||{};return p[r]=t,h?p[a]=e:n(p,a).set(e),null!==e&&(i&=-5),c[o]=c[o]|i,f},get:function(t){if(s){var e=u[t];return void 0===e?void 0:h?s[e][a]:n(s[e],a).get()}},rename:function(t,e){var n=u[t];return void 0===n||(c[n]=1|c[n],u[e]=n,delete u[t],s[n][r]=e),f},remove:function(t){var e=u[t];if(void 0===e)return f;var i=s[e];if(Object.keys(i).length>2)return c[e]=2|c[e],f.set(t,null);if(h){for(o=e;o<s.length;o++)c[o]=3|c[o];for(o=e;o<s.length;o++)u[s[o][r]]--;s.splice(e,1),delete u[t]}else n(i,a).set(null),c[e]=6|c[e];return f},constructUpdate:function(){for(var t,i,o={},l=Object.keys(c),u=0;u<l.length;u++)i=l[u],t=e+"["+i+"]",s[i]?(1&c[i]&&(o[t+"."+r]=s[i][r]),2&c[i]&&(o[t+"."+a]=h?4&c[i]?null:s[i][a]:4&c[i]?null:n(s[i],a).get())):o[t]=null;return o}};return f}},{"./nested_property":758}],753:[function(t,e,r){"use strict";var n=t("../registry");e.exports=function(t,e){for(var r=t._context.locale,i=0;i<2;i++){for(var a=t._context.locales,o=0;o<2;o++){var s=(a[r]||{}).dictionary;if(s){var l=s[e];if(l)return l}a=n.localeRegistry}var c=r.split("-")[0];if(c===r)break;r=c}return e}},{"../registry":882}],754:[function(t,e,r){"use strict";var n=t("../plot_api/plot_config").dfltConfig,i=t("./notifier"),a=e.exports={};function o(t,e){if(t&&t.apply)try{return void t.apply(console,e)}catch(t){}for(var r=0;r<e.length;r++)try{t(e[r])}catch(t){console.log(e[r])}}a.log=function(){var t;if(n.logging>1){var e=["LOG:"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);o(console.trace||console.log,e)}if(n.notifyOnLogging>1){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join("<br>"),"long")}},a.warn=function(){var t;if(n.logging>0){var e=["WARN:"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);o(console.trace||console.log,e)}if(n.notifyOnLogging>0){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join("<br>"),"stick")}},a.error=function(){var t;if(n.logging>0){var e=["ERROR:"];for(t=0;t<arguments.length;t++)e.push(arguments[t]);o(console.error,e)}if(n.notifyOnLogging>0){var r=[];for(t=0;t<arguments.length;t++)r.push(arguments[t]);i(r.join("<br>"),"stick")}}},{"../plot_api/plot_config":786,"./notifier":760}],755:[function(t,e,r){"use strict";var n=t("d3");e.exports=function(t,e,r){var i=t.selectAll("g."+r.replace(/\s/g,".")).data(e,(function(t){return t[0].trace.uid}));i.exit().remove(),i.enter().append("g").attr("class",r),i.order();var a=t.classed("rangeplot")?"nodeRangePlot3":"node3";return i.each((function(t){t[0][a]=n.select(this)})),i}},{d3:169}],756:[function(t,e,r){"use strict";r.init2dArray=function(t,e){for(var r=new Array(t),n=0;n<t;n++)r[n]=new Array(e);return r},r.transposeRagged=function(t){var e,r,n=0,i=t.length;for(e=0;e<i;e++)n=Math.max(n,t[e].length);var a=new Array(n);for(e=0;e<n;e++)for(a[e]=new Array(i),r=0;r<i;r++)a[e][r]=t[r][e];return a},r.dot=function(t,e){if(!t.length||!e.length||t.length!==e.length)return null;var n,i,a=t.length;if(t[0].length)for(n=new Array(a),i=0;i<a;i++)n[i]=r.dot(t[i],e);else if(e[0].length){var o=r.transposeRagged(e);for(n=new Array(o.length),i=0;i<o.length;i++)n[i]=r.dot(t,o[i])}else for(n=0,i=0;i<a;i++)n+=t[i]*e[i];return n},r.translationMatrix=function(t,e){return[[1,0,t],[0,1,e],[0,0,1]]},r.rotationMatrix=function(t){var e=t*Math.PI/180;return[[Math.cos(e),-Math.sin(e),0],[Math.sin(e),Math.cos(e),0],[0,0,1]]},r.rotationXYMatrix=function(t,e,n){return r.dot(r.dot(r.translationMatrix(e,n),r.rotationMatrix(t)),r.translationMatrix(-e,-n))},r.apply2DTransform=function(t){return function(){var e=arguments;3===e.length&&(e=e[0]);var n=1===arguments.length?e[0]:[e[0],e[1]];return r.dot(t,[n[0],n[1],1]).slice(0,2)}},r.apply2DTransform2=function(t){var e=r.apply2DTransform(t);return function(t){return e(t.slice(0,2)).concat(e(t.slice(2,4)))}}},{}],757:[function(t,e,r){"use strict";e.exports={mod:function(t,e){var r=t%e;return r<0?r+e:r},modHalf:function(t,e){return Math.abs(t)>e/2?t-Math.round(t/e)*e:t}}},{}],758:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./array").isArrayOrTypedArray;function a(t,e){return function(){var r,n,o,s,l,c=t;for(s=0;s<e.length-1;s++){if(-1===(r=e[s])){for(n=!0,o=[],l=0;l<c.length;l++)o[l]=a(c[l],e.slice(s+1))(),o[l]!==o[0]&&(n=!1);return n?o[0]:o}if("number"==typeof r&&!i(c))return;if("object"!=typeof(c=c[r])||null===c)return}if("object"==typeof c&&null!==c&&null!==(o=c[e[s]]))return o}}e.exports=function(t,e){if(n(e))e=String(e);else if("string"!=typeof e||"[-1]"===e.substr(e.length-4))throw"bad property string";for(var r,i,o,s=0,c=e.split(".");s<c.length;){if(r=String(c[s]).match(/^([^\[\]]*)((\[\-?[0-9]*\])+)$/)){if(r[1])c[s]=r[1];else{if(0!==s)throw"bad property string";c.splice(0,1)}for(i=r[2].substr(1,r[2].length-2).split("]["),o=0;o<i.length;o++)s++,c.splice(s,0,Number(i[o]))}s++}return"object"!=typeof t?function(t,e,r){return{set:function(){throw"bad container"},get:function(){},astr:e,parts:r,obj:t}}(t,e,c):{set:l(t,c,e),get:a(t,c),astr:e,parts:c,obj:t}};var o=/(^|\.)args\[/;function s(t,e){return void 0===t||null===t&&!e.match(o)}function l(t,e,r){return function(n){var a,o,l=t,f="",p=[[t,f]],d=s(n,r);for(o=0;o<e.length-1;o++){if("number"==typeof(a=e[o])&&!i(l))throw"array index but container is not an array";if(-1===a){if(d=!u(l,e.slice(o+1),n,r))break;return}if(!h(l,a,e[o+1],d))break;if("object"!=typeof(l=l[a])||null===l)throw"container is not an object";f=c(f,a),p.push([l,f])}if(d){if(o===e.length-1&&(delete l[e[o]],Array.isArray(l)&&+e[o]==l.length-1))for(;l.length&&void 0===l[l.length-1];)l.pop()}else l[e[o]]=n}}function c(t,e){var r=e;return n(e)?r="["+e+"]":t&&(r="."+e),t+r}function u(t,e,r,n){var a,o=i(r),c=!0,u=r,f=n.replace("-1",0),p=!o&&s(r,f),d=e[0];for(a=0;a<t.length;a++)f=n.replace("-1",a),o&&(p=s(u=r[a%r.length],f)),p&&(c=!1),h(t,a,d,p)&&l(t[a],e,n.replace("-1",a))(u);return c}function h(t,e,r,n){if(void 0===t[e]){if(n)return!1;t[e]="number"==typeof r?[]:{}}return!0}},{"./array":732,"fast-isnumeric":241}],759:[function(t,e,r){"use strict";e.exports=function(){}},{}],760:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=[];e.exports=function(t,e){if(-1===a.indexOf(t)){a.push(t);var r=1e3;i(e)?r=e:"long"===e&&(r=3e3);var o=n.select("body").selectAll(".plotly-notifier").data([0]);o.enter().append("div").classed("plotly-notifier",!0),o.selectAll(".notifier-note").data(a).enter().append("div").classed("notifier-note",!0).style("opacity",0).each((function(t){var i=n.select(this);i.append("button").classed("notifier-close",!0).html("&times;").on("click",(function(){i.transition().call(s)}));for(var a=i.append("p"),o=t.split(/<br\s*\/?>/g),l=0;l<o.length;l++)l&&a.append("br"),a.append("span").text(o[l]);"stick"===e?i.transition().duration(350).style("opacity",1):i.transition().duration(700).style("opacity",1).transition().delay(r).call(s)}))}function s(t){t.duration(700).style("opacity",0).each("end",(function(t){var e=a.indexOf(t);-1!==e&&a.splice(e,1),n.select(this).remove()}))}}},{d3:169,"fast-isnumeric":241}],761:[function(t,e,r){"use strict";var n=t("./setcursor"),i="data-savedcursor";e.exports=function(t,e){var r=t.attr(i);if(e){if(!r){for(var a=(t.attr("class")||"").split(" "),o=0;o<a.length;o++){var s=a[o];0===s.indexOf("cursor-")&&t.attr(i,s.substr(7)).classed(s,!1)}t.attr(i)||t.attr(i,"!!")}n(t,e)}else r&&(t.attr(i,null),"!!"===r?n(t):n(t,r))}},{"./setcursor":770}],762:[function(t,e,r){"use strict";var n=t("./matrix").dot,i=t("../constants/numerical").BADNUM,a=e.exports={};a.tester=function(t){var e,r=t.slice(),n=r[0][0],a=n,o=r[0][1],s=o;for(r.push(r[0]),e=1;e<r.length;e++)n=Math.min(n,r[e][0]),a=Math.max(a,r[e][0]),o=Math.min(o,r[e][1]),s=Math.max(s,r[e][1]);var l,c=!1;5===r.length&&(r[0][0]===r[1][0]?r[2][0]===r[3][0]&&r[0][1]===r[3][1]&&r[1][1]===r[2][1]&&(c=!0,l=function(t){return t[0]===r[0][0]}):r[0][1]===r[1][1]&&r[2][1]===r[3][1]&&r[0][0]===r[3][0]&&r[1][0]===r[2][0]&&(c=!0,l=function(t){return t[1]===r[0][1]}));var u=!0,h=r[0];for(e=1;e<r.length;e++)if(h[0]!==r[e][0]||h[1]!==r[e][1]){u=!1;break}return{xmin:n,xmax:a,ymin:o,ymax:s,pts:r,contains:c?function(t,e){var r=t[0],c=t[1];return!(r===i||r<n||r>a||c===i||c<o||c>s)&&(!e||!l(t))}:function(t,e){var l=t[0],c=t[1];if(l===i||l<n||l>a||c===i||c<o||c>s)return!1;var u,h,f,p,d,g=r.length,m=r[0][0],v=r[0][1],y=0;for(u=1;u<g;u++)if(h=m,f=v,m=r[u][0],v=r[u][1],!(l<(p=Math.min(h,m))||l>Math.max(h,m)||c>Math.max(f,v)))if(c<Math.min(f,v))l!==p&&y++;else{if(c===(d=m===h?c:f+(l-h)*(v-f)/(m-h)))return 1!==u||!e;c<=d&&l!==p&&y++}return y%2==1},isRect:c,degenerate:u}},a.isSegmentBent=function(t,e,r,i){var a,o,s,l=t[e],c=[t[r][0]-l[0],t[r][1]-l[1]],u=n(c,c),h=Math.sqrt(u),f=[-c[1]/h,c[0]/h];for(a=e+1;a<r;a++)if(o=[t[a][0]-l[0],t[a][1]-l[1]],(s=n(o,c))<0||s>u||Math.abs(n(o,f))>i)return!0;return!1},a.filter=function(t,e){var r=[t[0]],n=0,i=0;function o(o){t.push(o);var s=r.length,l=n;r.splice(i+1);for(var c=l+1;c<t.length;c++)(c===t.length-1||a.isSegmentBent(t,l,c+1,e))&&(r.push(t[c]),r.length<s-2&&(n=c,i=r.length-1),l=c)}t.length>1&&o(t.pop());return{addPt:o,raw:t,filtered:r}}},{"../constants/numerical":725,"./matrix":756}],763:[function(t,e,r){(function(r){"use strict";var n=t("./show_no_webgl_msg"),i=t("regl");e.exports=function(t,e){var a=t._fullLayout,o=!0;return a._glcanvas.each((function(n){if(!n.regl&&(!n.pick||a._has("parcoords"))){try{n.regl=i({canvas:this,attributes:{antialias:!n.pick,preserveDrawingBuffer:!0},pixelRatio:t._context.plotGlPixelRatio||r.devicePixelRatio,extensions:e||[]})}catch(t){o=!1}n.regl||(o=!1),o&&this.addEventListener("webglcontextlost",(function(e){t&&t.emit&&t.emit("plotly_webglcontextlost",{event:e,layer:n.key})}),!1)}})),o||n({container:a._glcontainer.node()}),o}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./show_no_webgl_msg":771,regl:512}],764:[function(t,e,r){"use strict";e.exports=function(t,e){if(e instanceof RegExp){for(var r=e.toString(),n=0;n<t.length;n++)if(t[n]instanceof RegExp&&t[n].toString()===r)return t;t.push(e)}else!e&&0!==e||-1!==t.indexOf(e)||t.push(e);return t}},{}],765:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_config").dfltConfig;var a={add:function(t,e,r,n,a){var o,s;t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},s=t.undoQueue.index,t.autoplay?t.undoQueue.inSequence||(t.autoplay=!1):(!t.undoQueue.sequence||t.undoQueue.beginSequence?(o={undo:{calls:[],args:[]},redo:{calls:[],args:[]}},t.undoQueue.queue.splice(s,t.undoQueue.queue.length-s,o),t.undoQueue.index+=1):o=t.undoQueue.queue[s-1],t.undoQueue.beginSequence=!1,o&&(o.undo.calls.unshift(e),o.undo.args.unshift(r),o.redo.calls.push(n),o.redo.args.push(a)),t.undoQueue.queue.length>i.queueLength&&(t.undoQueue.queue.shift(),t.undoQueue.index--))},startSequence:function(t){t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},t.undoQueue.sequence=!0,t.undoQueue.beginSequence=!0},stopSequence:function(t){t.undoQueue=t.undoQueue||{index:0,queue:[],sequence:!1},t.undoQueue.sequence=!1,t.undoQueue.beginSequence=!1},undo:function(t){var e,r;if(t.framework&&t.framework.isPolar)t.framework.undo();else if(!(void 0===t.undoQueue||isNaN(t.undoQueue.index)||t.undoQueue.index<=0)){for(t.undoQueue.index--,e=t.undoQueue.queue[t.undoQueue.index],t.undoQueue.inSequence=!0,r=0;r<e.undo.calls.length;r++)a.plotDo(t,e.undo.calls[r],e.undo.args[r]);t.undoQueue.inSequence=!1,t.autoplay=!1}},redo:function(t){var e,r;if(t.framework&&t.framework.isPolar)t.framework.redo();else if(!(void 0===t.undoQueue||isNaN(t.undoQueue.index)||t.undoQueue.index>=t.undoQueue.queue.length)){for(e=t.undoQueue.queue[t.undoQueue.index],t.undoQueue.inSequence=!0,r=0;r<e.redo.calls.length;r++)a.plotDo(t,e.redo.calls[r],e.redo.args[r]);t.undoQueue.inSequence=!1,t.autoplay=!1,t.undoQueue.index++}}};a.plotDo=function(t,e,r){t.autoplay=!0,r=function(t,e){for(var r,i=[],a=0;a<e.length;a++)r=e[a],i[a]=r===t?r:"object"==typeof r?Array.isArray(r)?n.extendDeep([],r):n.extendDeepAll({},r):r;return i}(t,r),e.apply(null,r)},e.exports=a},{"../lib":750,"../plot_api/plot_config":786}],766:[function(t,e,r){"use strict";r.counter=function(t,e,r,n){var i=(e||"")+(r?"":"$"),a=!1===n?"":"^";return"xy"===t?new RegExp(a+"x([2-9]|[1-9][0-9]+)?y([2-9]|[1-9][0-9]+)?"+i):new RegExp(a+t+"([2-9]|[1-9][0-9]+)?"+i)}},{}],767:[function(t,e,r){"use strict";var n=/^(.*)(\.[^\.\[\]]+|\[\d\])$/,i=/^[^\.\[\]]+$/;e.exports=function(t,e){for(;e;){var r=t.match(n);if(r)t=r[1];else{if(!t.match(i))throw new Error("bad relativeAttr call:"+[t,e]);t=""}if("^"!==e.charAt(0))break;e=e.slice(1)}return t&&"["!==e.charAt(0)?t+"."+e:t+e}},{}],768:[function(t,e,r){"use strict";var n=t("./array").isArrayOrTypedArray,i=t("./is_plain_object");e.exports=function t(e,r){for(var a in r){var o=r[a],s=e[a];if(s!==o)if("_"===a.charAt(0)||"function"==typeof o){if(a in e)continue;e[a]=o}else if(n(o)&&n(s)&&i(o[0])){if("customdata"===a||"ids"===a)continue;for(var l=Math.min(o.length,s.length),c=0;c<l;c++)s[c]!==o[c]&&i(o[c])&&i(s[c])&&t(s[c],o[c])}else i(o)&&i(s)&&(t(s,o),Object.keys(s).length||delete e[a])}}},{"./array":732,"./is_plain_object":751}],769:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./loggers"),a=t("./identity"),o=t("../constants/numerical").BADNUM;function s(t,e){return t<e}function l(t,e){return t<=e}function c(t,e){return t>e}function u(t,e){return t>=e}r.findBin=function(t,e,r){if(n(e.start))return r?Math.ceil((t-e.start)/e.size-1e-9)-1:Math.floor((t-e.start)/e.size+1e-9);var a,o,h=0,f=e.length,p=0,d=f>1?(e[f-1]-e[0])/(f-1):1;for(o=d>=0?r?s:l:r?u:c,t+=1e-9*d*(r?-1:1)*(d>=0?1:-1);h<f&&p++<100;)o(e[a=Math.floor((h+f)/2)],t)?h=a+1:f=a;return p>90&&i.log("Long binary search..."),h-1},r.sorterAsc=function(t,e){return t-e},r.sorterDes=function(t,e){return e-t},r.distinctVals=function(t,e){var n,i=(e||{}).unitMinDiff,a=t.slice();for(a.sort(r.sorterAsc),n=a.length-1;n>-1&&a[n]===o;n--);var s=1;i||(s=a[n]-a[0]||1);for(var l,c=s/(n||1)/1e4,u=[],h=0;h<=n;h++){var f=a[h],p=f-l;void 0===l?(u.push(f),l=f):p>c&&(s=Math.min(s,p),u.push(f),l=f)}return{vals:u,minDiff:s}},r.roundUp=function(t,e,r){for(var n,i=0,a=e.length-1,o=0,s=r?0:1,l=r?1:0,c=r?Math.ceil:Math.floor;i<a&&o++<100;)e[n=c((i+a)/2)]<=t?i=n+s:a=n-l;return e[i]},r.sort=function(t,e){for(var r=0,n=0,i=1;i<t.length;i++){var a=e(t[i],t[i-1]);if(a<0?r=1:a>0&&(n=1),r&&n)return t.sort(e)}return n?t:t.reverse()},r.findIndexOfMin=function(t,e){e=e||a;for(var r,n=1/0,i=0;i<t.length;i++){var o=e(t[i]);o<n&&(n=o,r=i)}return r}},{"../constants/numerical":725,"./identity":748,"./loggers":754,"fast-isnumeric":241}],770:[function(t,e,r){"use strict";e.exports=function(t,e){(t.attr("class")||"").split(" ").forEach((function(e){0===e.indexOf("cursor-")&&t.classed(e,!1)})),e&&t.classed("cursor-"+e,!0)}},{}],771:[function(t,e,r){"use strict";var n=t("../components/color"),i=function(){};e.exports=function(t){for(var e in t)"function"==typeof t[e]&&(t[e]=i);t.destroy=function(){t.container.parentNode.removeChild(t.container)};var r=document.createElement("div");r.className="no-webgl",r.style.cursor="pointer",r.style.fontSize="24px",r.style.color=n.defaults[0],r.style.position="absolute",r.style.left=r.style.top="0px",r.style.width=r.style.height="100%",r.style["background-color"]=n.lightLine,r.style["z-index"]=30;var a=document.createElement("p");return a.textContent="WebGL is not supported by your browser - visit https://get.webgl.org for more info",a.style.position="relative",a.style.top="50%",a.style.left="50%",a.style.height="30%",a.style.width="50%",a.style.margin="-15% 0 0 -25%",r.appendChild(a),t.container.appendChild(r),t.container.style.background="#FFFFFF",t.container.onclick=function(){window.open("https://get.webgl.org")},!1}},{"../components/color":615}],772:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./array").isArrayOrTypedArray;r.aggNums=function(t,e,a,o){var s,l;if((!o||o>a.length)&&(o=a.length),n(e)||(e=!1),i(a[0])){for(l=new Array(o),s=0;s<o;s++)l[s]=r.aggNums(t,e,a[s]);a=l}for(s=0;s<o;s++)n(e)?n(a[s])&&(e=t(+e,+a[s])):e=a[s];return e},r.len=function(t){return r.aggNums((function(t){return t+1}),0,t)},r.mean=function(t,e){return e||(e=r.len(t)),r.aggNums((function(t,e){return t+e}),0,t)/e},r.midRange=function(t){if(void 0!==t&&0!==t.length)return(r.aggNums(Math.max,null,t)+r.aggNums(Math.min,null,t))/2},r.variance=function(t,e,i){return e||(e=r.len(t)),n(i)||(i=r.mean(t,e)),r.aggNums((function(t,e){return t+Math.pow(e-i,2)}),0,t)/e},r.stdev=function(t,e,n){return Math.sqrt(r.variance(t,e,n))},r.median=function(t){var e=t.slice().sort();return r.interp(e,.5)},r.interp=function(t,e){if(!n(e))throw"n should be a finite number";if((e=e*t.length-.5)<0)return t[0];if(e>t.length-1)return t[t.length-1];var r=e%1;return r*t[Math.ceil(e)]+(1-r)*t[Math.floor(e)]}},{"./array":732,"fast-isnumeric":241}],773:[function(t,e,r){"use strict";var n=t("color-normalize");e.exports=function(t){return t?n(t):[0,0,0,1]}},{"color-normalize":125}],774:[function(t,e,r){"use strict";var n=t("d3"),i=t("../lib"),a=t("../constants/xmlns_namespaces"),o=t("../constants/alignment").LINE_SPACING;function s(t,e){return t.node().getBoundingClientRect()[e]}var l=/([^$]*)([$]+[^$]*[$]+)([^$]*)/;r.convertToTspans=function(t,e,M){var A=t.text(),E=!t.attr("data-notex")&&"undefined"!=typeof MathJax&&A.match(l),C=n.select(t.node().parentNode);if(!C.empty()){var L=t.attr("class")?t.attr("class").split(" ")[0]:"text";return L+="-math",C.selectAll("svg."+L).remove(),C.selectAll("g."+L+"-group").remove(),t.style("display",null).attr({"data-unformatted":A,"data-math":"N"}),E?(e&&e._promises||[]).push(new Promise((function(e){t.style("display","none");var r=parseInt(t.node().style.fontSize,10),a={fontSize:r};!function(t,e,r){var a,o,s,l;MathJax.Hub.Queue((function(){return o=i.extendDeepAll({},MathJax.Hub.config),s=MathJax.Hub.processSectionDelay,void 0!==MathJax.Hub.processSectionDelay&&(MathJax.Hub.processSectionDelay=0),MathJax.Hub.Config({messageStyle:"none",tex2jax:{inlineMath:[["$","$"],["\\(","\\)"]]},displayAlign:"left"})}),(function(){if("SVG"!==(a=MathJax.Hub.config.menuSettings.renderer))return MathJax.Hub.setRenderer("SVG")}),(function(){var r="math-output-"+i.randstr({},64);return l=n.select("body").append("div").attr({id:r}).style({visibility:"hidden",position:"absolute"}).style({"font-size":e.fontSize+"px"}).text(t.replace(c,"\\lt ").replace(u,"\\gt ")),MathJax.Hub.Typeset(l.node())}),(function(){var e=n.select("body").select("#MathJax_SVG_glyphs");if(l.select(".MathJax_SVG").empty()||!l.select("svg").node())i.log("There was an error in the tex syntax.",t),r();else{var o=l.select("svg").node().getBoundingClientRect();r(l.select(".MathJax_SVG"),e,o)}if(l.remove(),"SVG"!==a)return MathJax.Hub.setRenderer(a)}),(function(){return void 0!==s&&(MathJax.Hub.processSectionDelay=s),MathJax.Hub.Config(o)}))}(E[2],a,(function(n,i,a){C.selectAll("svg."+L).remove(),C.selectAll("g."+L+"-group").remove();var o=n&&n.select("svg");if(!o||!o.node())return P(),void e();var l=C.append("g").classed(L+"-group",!0).attr({"pointer-events":"none","data-unformatted":A,"data-math":"Y"});l.node().appendChild(o.node()),i&&i.node()&&o.node().insertBefore(i.node().cloneNode(!0),o.node().firstChild),o.attr({class:L,height:a.height,preserveAspectRatio:"xMinYMin meet"}).style({overflow:"visible","pointer-events":"none"});var c=t.node().style.fill||"black",u=o.select("g");u.attr({fill:c,stroke:c});var h=s(u,"width"),f=s(u,"height"),p=+t.attr("x")-h*{start:0,middle:.5,end:1}[t.attr("text-anchor")||"start"],d=-(r||s(t,"height"))/4;"y"===L[0]?(l.attr({transform:"rotate("+[-90,+t.attr("x"),+t.attr("y")]+") translate("+[-h/2,d-f/2]+")"}),o.attr({x:+t.attr("x"),y:+t.attr("y")})):"l"===L[0]?o.attr({x:t.attr("x"),y:d-f/2}):"a"===L[0]&&0!==L.indexOf("atitle")?o.attr({x:0,y:d}):o.attr({x:p,y:+t.attr("y")+d-f/2}),M&&M.call(t,l),e(l)}))}))):P(),t}function P(){C.empty()||(L=t.attr("class")+"-math",C.select("svg."+L).remove()),t.text("").style("white-space","pre"),function(t,e){e=e.replace(g," ");var r,s=!1,l=[],c=-1;function u(){c++;var e=document.createElementNS(a.svg,"tspan");n.select(e).attr({class:"line",dy:c*o+"em"}),t.appendChild(e),r=e;var i=l;if(l=[{node:e}],i.length>1)for(var s=1;s<i.length;s++)M(i[s])}function M(t){var e,i=t.type,o={};if("a"===i){e="a";var s=t.target,c=t.href,u=t.popup;c&&(o={"xlink:xlink:show":"_blank"===s||"_"!==s.charAt(0)?"new":"replace",target:s,"xlink:xlink:href":c},u&&(o.onclick='window.open(this.href.baseVal,this.target.baseVal,"'+u+'");return false;'))}else e="tspan";t.style&&(o.style=t.style);var h=document.createElementNS(a.svg,e);if("sup"===i||"sub"===i){A(r,"\u200b"),r.appendChild(h);var d=document.createElementNS(a.svg,"tspan");A(d,"\u200b"),n.select(d).attr("dy",p[i]),o.dy=f[i],r.appendChild(h),r.appendChild(d)}else r.appendChild(h);n.select(h).attr(o),r=t.node=h,l.push(t)}function A(t,e){t.appendChild(document.createTextNode(e))}function E(t){if(1!==l.length){var n=l.pop();t!==n.type&&i.log("Start tag <"+n.type+"> doesnt match end tag <"+t+">. Pretending it did match.",e),r=l[l.length-1].node}else i.log("Ignoring unexpected end tag </"+t+">.",e)}y.test(e)?u():(r=t,l=[{node:t}]);for(var C=e.split(m),L=0;L<C.length;L++){var P=C[L],I=P.match(v),z=I&&I[2].toLowerCase(),O=h[z];if("br"===z)u();else if(void 0===O)A(r,S(P));else if(I[1])E(z);else{var D=I[4],R={type:z},F=T(D,x);if(F?(F=F.replace(k,"$1 fill:"),O&&(F+=";"+O)):O&&(F=O),F&&(R.style=F),"a"===z){s=!0;var B=T(D,b);if(B){var N=document.createElement("a");N.href=B,-1!==d.indexOf(N.protocol)&&(R.href=encodeURI(decodeURI(B)),R.target=T(D,_)||"_blank",R.popup=T(D,w))}}M(R)}}return s}(t.node(),A)&&t.style("pointer-events","all"),r.positionText(t),M&&M.call(t)}};var c=/(<|&lt;|&#60;)/g,u=/(>|&gt;|&#62;)/g;var h={sup:"font-size:70%",sub:"font-size:70%",b:"font-weight:bold",i:"font-style:italic",a:"cursor:pointer",span:"",em:"font-style:italic;font-weight:bold"},f={sub:"0.3em",sup:"-0.6em"},p={sub:"-0.21em",sup:"0.42em"},d=["http:","https:","mailto:","",void 0,":"],g=r.NEWLINES=/(\r\n?|\n)/g,m=/(<[^<>]*>)/,v=/<(\/?)([^ >]*)(\s+(.*))?>/i,y=/<br(\s+.*)?>/i;r.BR_TAG_ALL=/<br(\s+.*)?>/gi;var x=/(^|[\s"'])style\s*=\s*("([^"]*);?"|'([^']*);?')/i,b=/(^|[\s"'])href\s*=\s*("([^"]*)"|'([^']*)')/i,_=/(^|[\s"'])target\s*=\s*("([^"\s]*)"|'([^'\s]*)')/i,w=/(^|[\s"'])popup\s*=\s*("([\w=,]*)"|'([\w=,]*)')/i;function T(t,e){if(!t)return null;var r=t.match(e),n=r&&(r[3]||r[4]);return n&&S(n)}var k=/(^|;)\s*color:/;r.plainText=function(t,e){for(var r=void 0!==(e=e||{}).len&&-1!==e.len?e.len:1/0,n=void 0!==e.allowedTags?e.allowedTags:["br"],i="...".length,a=t.split(m),o=[],s="",l=0,c=0;c<a.length;c++){var u=a[c],h=u.match(v),f=h&&h[2].toLowerCase();if(f)-1!==n.indexOf(f)&&(o.push(u),s=f);else{var p=u.length;if(l+p<r)o.push(u),l+=p;else if(l<r){var d=r-l;s&&("br"!==s||d<=i||p<=i)&&o.pop(),r>i?o.push(u.substr(0,d-i)+"..."):o.push(u.substr(0,d));break}s=""}}return o.join("")};var M={mu:"\u03bc",amp:"&",lt:"<",gt:">",nbsp:"\xa0",times:"\xd7",plusmn:"\xb1",deg:"\xb0"},A=/&(#\d+|#x[\da-fA-F]+|[a-z]+);/g;function S(t){return t.replace(A,(function(t,e){return("#"===e.charAt(0)?function(t){if(t>1114111)return;var e=String.fromCodePoint;if(e)return e(t);var r=String.fromCharCode;return t<=65535?r(t):r(55232+(t>>10),t%1024+56320)}("x"===e.charAt(1)?parseInt(e.substr(2),16):parseInt(e.substr(1),10)):M[e])||t}))}function E(t,e,r){var n,i,a,o=r.horizontalAlign,s=r.verticalAlign||"top",l=t.node().getBoundingClientRect(),c=e.node().getBoundingClientRect();return i="bottom"===s?function(){return l.bottom-n.height}:"middle"===s?function(){return l.top+(l.height-n.height)/2}:function(){return l.top},a="right"===o?function(){return l.right-n.width}:"center"===o?function(){return l.left+(l.width-n.width)/2}:function(){return l.left},function(){return n=this.node().getBoundingClientRect(),this.style({top:i()-c.top+"px",left:a()-c.left+"px","z-index":1e3}),this}}r.convertEntities=S,r.sanitizeHTML=function(t){t=t.replace(g," ");for(var e=document.createElement("p"),r=e,i=[],a=t.split(m),o=0;o<a.length;o++){var s=a[o],l=s.match(v),c=l&&l[2].toLowerCase();if(c in h)if(l[1])i.length&&(r=i.pop());else{var u=l[4],f=T(u,x),p=f?{style:f}:{};if("a"===c){var y=T(u,b);if(y){var w=document.createElement("a");if(w.href=y,-1!==d.indexOf(w.protocol)){p.href=encodeURI(decodeURI(y));var k=T(u,_);k&&(p.target=k)}}}var M=document.createElement(c);r.appendChild(M),n.select(M).attr(p),r=M,i.push(M)}else r.appendChild(document.createTextNode(S(s)))}return e.innerHTML},r.lineCount=function(t){return t.selectAll("tspan.line").size()||1},r.positionText=function(t,e,r){return t.each((function(){var t=n.select(this);function i(e,r){return void 0===r?null===(r=t.attr(e))&&(t.attr(e,0),r=0):t.attr(e,r),r}var a=i("x",e),o=i("y",r);"text"===this.nodeName&&t.selectAll("tspan.line").attr({x:a,y:o})}))},r.makeEditable=function(t,e){var r=e.gd,i=e.delegate,a=n.dispatch("edit","input","cancel"),o=i||t;if(t.style({"pointer-events":i?"none":"all"}),1!==t.size())throw new Error("boo");function s(){!function(){var i=n.select(r).select(".svg-container"),o=i.append("div"),s=t.node().style,c=parseFloat(s.fontSize||12),u=e.text;void 0===u&&(u=t.attr("data-unformatted"));o.classed("plugin-editable editable",!0).style({position:"absolute","font-family":s.fontFamily||"Arial","font-size":c,color:e.fill||s.fill||"black",opacity:1,"background-color":e.background||"transparent",outline:"#ffffff33 1px solid",margin:[-c/8+1,0,0,-1].join("px ")+"px",padding:"0","box-sizing":"border-box"}).attr({contenteditable:!0}).text(u).call(E(t,i,e)).on("blur",(function(){r._editing=!1,t.text(this.textContent).style({opacity:1});var e,i=n.select(this).attr("class");(e=i?"."+i.split(" ")[0]+"-math-group":"[class*=-math-group]")&&n.select(t.node().parentNode).select(e).style({opacity:0});var o=this.textContent;n.select(this).transition().duration(0).remove(),n.select(document).on("mouseup",null),a.edit.call(t,o)})).on("focus",(function(){var t=this;r._editing=!0,n.select(document).on("mouseup",(function(){if(n.event.target===t)return!1;document.activeElement===o.node()&&o.node().blur()}))})).on("keyup",(function(){27===n.event.which?(r._editing=!1,t.style({opacity:1}),n.select(this).style({opacity:0}).on("blur",(function(){return!1})).transition().remove(),a.cancel.call(t,this.textContent)):(a.input.call(t,this.textContent),n.select(this).call(E(t,i,e)))})).on("keydown",(function(){13===n.event.which&&this.blur()})).call(l)}(),t.style({opacity:0});var i,s=o.attr("class");(i=s?"."+s.split(" ")[0]+"-math-group":"[class*=-math-group]")&&n.select(t.node().parentNode).select(i).style({opacity:0})}function l(t){var e=t.node(),r=document.createRange();r.selectNodeContents(e);var n=window.getSelection();n.removeAllRanges(),n.addRange(r),e.focus()}return e.immediate?s():o.on("click",s),n.rebind(t,a,"on")}},{"../constants/alignment":717,"../constants/xmlns_namespaces":726,"../lib":750,d3:169}],775:[function(t,e,r){"use strict";var n={};function i(t){t&&null!==t.timer&&(clearTimeout(t.timer),t.timer=null)}r.throttle=function(t,e,r){var a=n[t],o=Date.now();if(!a){for(var s in n)n[s].ts<o-6e4&&delete n[s];a=n[t]={ts:0,timer:null}}function l(){r(),a.ts=Date.now(),a.onDone&&(a.onDone(),a.onDone=null)}i(a),o>a.ts+e?l():a.timer=setTimeout((function(){l(),a.timer=null}),e)},r.done=function(t){var e=n[t];return e&&e.timer?new Promise((function(t){var r=e.onDone;e.onDone=function(){r&&r(),t(),e.onDone=null}})):Promise.resolve()},r.clear=function(t){if(t)i(n[t]),delete n[t];else for(var e in n)r.clear(e)}},{}],776:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t,e){if(t>0)return Math.log(t)/Math.LN10;var r=Math.log(Math.min(e[0],e[1]))/Math.LN10;return n(r)||(r=Math.log(Math.max(e[0],e[1]))/Math.LN10-6),r}},{"fast-isnumeric":241}],777:[function(t,e,r){"use strict";var n=e.exports={},i=t("../plots/geo/constants").locationmodeToLayer,a=t("topojson-client").feature;n.getTopojsonName=function(t){return[t.scope.replace(/ /g,"-"),"_",t.resolution.toString(),"m"].join("")},n.getTopojsonPath=function(t,e){return t+e+".json"},n.getTopojsonFeatures=function(t,e){var r=i[t.locationmode],n=e.objects[r];return a(e,n).features}},{"../plots/geo/constants":829,"topojson-client":551}],778:[function(t,e,r){"use strict";e.exports={moduleType:"locale",name:"en-US",dictionary:{"Click to enter Colorscale title":"Click to enter Colorscale title"},format:{date:"%m/%d/%Y"}}},{}],779:[function(t,e,r){"use strict";e.exports={moduleType:"locale",name:"en",dictionary:{"Click to enter Colorscale title":"Click to enter Colourscale title"},format:{days:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],shortDays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],months:["January","February","March","April","May","June","July","August","September","October","November","December"],shortMonths:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],periods:["AM","PM"],dateTime:"%a %b %e %X %Y",date:"%d/%m/%Y",time:"%H:%M:%S",decimal:".",thousands:",",grouping:[3],currency:["$",""],year:"%Y",month:"%b %Y",dayMonth:"%b %-d",dayMonthYear:"%b %-d, %Y"}}},{}],780:[function(t,e,r){"use strict";var n=t("../registry");e.exports=function(t){for(var e,r,i=n.layoutArrayContainers,a=n.layoutArrayRegexes,o=t.split("[")[0],s=0;s<a.length;s++)if((r=t.match(a[s]))&&0===r.index){e=r[0];break}if(e||(e=i[i.indexOf(o)]),!e)return!1;var l=t.substr(e.length);return l?!!(r=l.match(/^\[(0|[1-9][0-9]*)\](\.(.+))?$/))&&{array:e,index:Number(r[1]),property:r[3]||""}:{array:e,index:"",property:""}}},{"../registry":882}],781:[function(t,e,r){"use strict";var n=t("../lib"),i=n.extendFlat,a=n.isPlainObject,o={valType:"flaglist",extras:["none"],flags:["calc","clearAxisTypes","plot","style","markerSize","colorbars"]},s={valType:"flaglist",extras:["none"],flags:["calc","plot","legend","ticks","axrange","layoutstyle","modebar","camera","arraydraw","colorbars"]},l=o.flags.slice().concat(["fullReplot"]),c=s.flags.slice().concat("layoutReplot");function u(t){for(var e={},r=0;r<t.length;r++)e[t[r]]=!1;return e}function h(t,e,r){var n=i({},t);for(var o in n){var s=n[o];a(s)&&(n[o]=f(s,e,r,o))}return"from-root"===r&&(n.editType=e),n}function f(t,e,r,n){if(t.valType){var a=i({},t);if(a.editType=e,Array.isArray(t.items)){a.items=new Array(t.items.length);for(var o=0;o<t.items.length;o++)a.items[o]=f(t.items[o],e,"from-root")}return a}return h(t,e,"_"===n.charAt(0)?"nested":"from-root")}e.exports={traces:o,layout:s,traceFlags:function(){return u(l)},layoutFlags:function(){return u(c)},update:function(t,e){var r=e.editType;if(r&&"none"!==r)for(var n=r.split("+"),i=0;i<n.length;i++)t[n[i]]=!0},overrideAll:h}},{"../lib":750}],782:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("gl-mat4/fromQuat"),a=t("../registry"),o=t("../lib"),s=t("../plots/plots"),l=t("../plots/cartesian/axis_ids"),c=t("../components/color"),u=l.cleanId,h=l.getFromTrace,f=a.traceIs;function p(t,e){var r=t[e],n=e.charAt(0);r&&"paper"!==r&&(t[e]=u(r,n,!0))}function d(t){function e(e,r){var n=t[e],i=t.title&&t.title[r];n&&!i&&(t.title||(t.title={}),t.title[r]=t[e],delete t[e])}t&&("string"!=typeof t.title&&"number"!=typeof t.title||(t.title={text:t.title}),e("titlefont","font"),e("titleposition","position"),e("titleside","side"),e("titleoffset","offset"))}function g(t){if(!o.isPlainObject(t))return!1;var e=t.name;return delete t.name,delete t.showlegend,("string"==typeof e||"number"==typeof e)&&String(e)}function m(t,e,r,n){if(r&&!n)return t;if(n&&!r)return e;if(!t.trim())return e;if(!e.trim())return t;var i,a=Math.min(t.length,e.length);for(i=0;i<a&&t.charAt(i)===e.charAt(i);i++);return t.substr(0,i).trim()}function v(t){var e="middle",r="center";return"string"==typeof t&&(-1!==t.indexOf("top")?e="top":-1!==t.indexOf("bottom")&&(e="bottom"),-1!==t.indexOf("left")?r="left":-1!==t.indexOf("right")&&(r="right")),e+" "+r}function y(t,e){return e in t&&"object"==typeof t[e]&&0===Object.keys(t[e]).length}r.clearPromiseQueue=function(t){Array.isArray(t._promises)&&t._promises.length>0&&o.log("Clearing previous rejected promises from queue."),t._promises=[]},r.cleanLayout=function(t){var e,n;t||(t={}),t.xaxis1&&(t.xaxis||(t.xaxis=t.xaxis1),delete t.xaxis1),t.yaxis1&&(t.yaxis||(t.yaxis=t.yaxis1),delete t.yaxis1),t.scene1&&(t.scene||(t.scene=t.scene1),delete t.scene1);var a=(s.subplotsRegistry.cartesian||{}).attrRegex,l=(s.subplotsRegistry.polar||{}).attrRegex,h=(s.subplotsRegistry.ternary||{}).attrRegex,f=(s.subplotsRegistry.gl3d||{}).attrRegex,g=Object.keys(t);for(e=0;e<g.length;e++){var m=g[e];if(a&&a.test(m)){var v=t[m];v.anchor&&"free"!==v.anchor&&(v.anchor=u(v.anchor)),v.overlaying&&(v.overlaying=u(v.overlaying)),v.type||(v.isdate?v.type="date":v.islog?v.type="log":!1===v.isdate&&!1===v.islog&&(v.type="linear")),"withzero"!==v.autorange&&"tozero"!==v.autorange||(v.autorange=!0,v.rangemode="tozero"),delete v.islog,delete v.isdate,delete v.categories,y(v,"domain")&&delete v.domain,void 0!==v.autotick&&(void 0===v.tickmode&&(v.tickmode=v.autotick?"auto":"linear"),delete v.autotick),d(v)}else if(l&&l.test(m)){d(t[m].radialaxis)}else if(h&&h.test(m)){var x=t[m];d(x.aaxis),d(x.baxis),d(x.caxis)}else if(f&&f.test(m)){var b=t[m],_=b.cameraposition;if(Array.isArray(_)&&4===_[0].length){var w=_[0],T=_[1],k=_[2],M=i([],w),A=[];for(n=0;n<3;++n)A[n]=T[n]+k*M[2+4*n];b.camera={eye:{x:A[0],y:A[1],z:A[2]},center:{x:T[0],y:T[1],z:T[2]},up:{x:0,y:0,z:1}},delete b.cameraposition}d(b.xaxis),d(b.yaxis),d(b.zaxis)}}var S=Array.isArray(t.annotations)?t.annotations.length:0;for(e=0;e<S;e++){var E=t.annotations[e];o.isPlainObject(E)&&(E.ref&&("paper"===E.ref?(E.xref="paper",E.yref="paper"):"data"===E.ref&&(E.xref="x",E.yref="y"),delete E.ref),p(E,"xref"),p(E,"yref"))}var C=Array.isArray(t.shapes)?t.shapes.length:0;for(e=0;e<C;e++){var L=t.shapes[e];o.isPlainObject(L)&&(p(L,"xref"),p(L,"yref"))}var P=Array.isArray(t.images)?t.images.length:0;for(e=0;e<P;e++){var I=t.images[e];o.isPlainObject(I)&&(p(I,"xref"),p(I,"yref"))}var z=t.legend;return z&&(z.x>3?(z.x=1.02,z.xanchor="left"):z.x<-2&&(z.x=-.02,z.xanchor="right"),z.y>3?(z.y=1.02,z.yanchor="bottom"):z.y<-2&&(z.y=-.02,z.yanchor="top")),d(t),"rotate"===t.dragmode&&(t.dragmode="orbit"),c.clean(t),t.template&&t.template.layout&&r.cleanLayout(t.template.layout),t},r.cleanData=function(t){for(var e=0;e<t.length;e++){var n,i=t[e];if("histogramy"===i.type&&"xbins"in i&&!("ybins"in i)&&(i.ybins=i.xbins,delete i.xbins),i.error_y&&"opacity"in i.error_y){var l=c.defaults,h=i.error_y.color||(f(i,"bar")?c.defaultLine:l[e%l.length]);i.error_y.color=c.addOpacity(c.rgb(h),c.opacity(h)*i.error_y.opacity),delete i.error_y.opacity}if("bardir"in i&&("h"!==i.bardir||!f(i,"bar")&&"histogram"!==i.type.substr(0,9)||(i.orientation="h",r.swapXYData(i)),delete i.bardir),"histogramy"===i.type&&r.swapXYData(i),"histogramx"!==i.type&&"histogramy"!==i.type||(i.type="histogram"),"scl"in i&&!("colorscale"in i)&&(i.colorscale=i.scl,delete i.scl),"reversescl"in i&&!("reversescale"in i)&&(i.reversescale=i.reversescl,delete i.reversescl),i.xaxis&&(i.xaxis=u(i.xaxis,"x")),i.yaxis&&(i.yaxis=u(i.yaxis,"y")),f(i,"gl3d")&&i.scene&&(i.scene=s.subplotsRegistry.gl3d.cleanId(i.scene)),!f(i,"pie-like")&&!f(i,"bar-like"))if(Array.isArray(i.textposition))for(n=0;n<i.textposition.length;n++)i.textposition[n]=v(i.textposition[n]);else i.textposition&&(i.textposition=v(i.textposition));var p=a.getModule(i);if(p&&p.colorbar){var x=p.colorbar.container,b=x?i[x]:i;b&&b.colorscale&&("YIGnBu"===b.colorscale&&(b.colorscale="YlGnBu"),"YIOrRd"===b.colorscale&&(b.colorscale="YlOrRd"))}if("surface"===i.type&&o.isPlainObject(i.contours)){var _=["x","y","z"];for(n=0;n<_.length;n++){var w=i.contours[_[n]];o.isPlainObject(w)&&(w.highlightColor&&(w.highlightcolor=w.highlightColor,delete w.highlightColor),w.highlightWidth&&(w.highlightwidth=w.highlightWidth,delete w.highlightWidth))}}if("candlestick"===i.type||"ohlc"===i.type){var T=!1!==(i.increasing||{}).showlegend,k=!1!==(i.decreasing||{}).showlegend,M=g(i.increasing),A=g(i.decreasing);if(!1!==M&&!1!==A){var S=m(M,A,T,k);S&&(i.name=S)}else!M&&!A||i.name||(i.name=M||A)}if(Array.isArray(i.transforms)){var E=i.transforms;for(n=0;n<E.length;n++){var C=E[n];if(o.isPlainObject(C))switch(C.type){case"filter":C.filtersrc&&(C.target=C.filtersrc,delete C.filtersrc),C.calendar&&(C.valuecalendar||(C.valuecalendar=C.calendar),delete C.calendar);break;case"groupby":if(C.styles=C.styles||C.style,C.styles&&!Array.isArray(C.styles)){var L=C.styles,P=Object.keys(L);C.styles=[];for(var I=0;I<P.length;I++)C.styles.push({target:P[I],value:L[P[I]]})}}}}y(i,"line")&&delete i.line,"marker"in i&&(y(i.marker,"line")&&delete i.marker.line,y(i,"marker")&&delete i.marker),c.clean(i),i.autobinx&&(delete i.autobinx,delete i.xbins),i.autobiny&&(delete i.autobiny,delete i.ybins),d(i),i.colorbar&&d(i.colorbar),i.marker&&i.marker.colorbar&&d(i.marker.colorbar),i.line&&i.line.colorbar&&d(i.line.colorbar),i.aaxis&&d(i.aaxis),i.baxis&&d(i.baxis)}},r.swapXYData=function(t){var e;if(o.swapAttrs(t,["?","?0","d?","?bins","nbins?","autobin?","?src","error_?"]),Array.isArray(t.z)&&Array.isArray(t.z[0])&&(t.transpose?delete t.transpose:t.transpose=!0),t.error_x&&t.error_y){var r=t.error_y,n="copy_ystyle"in r?r.copy_ystyle:!(r.color||r.thickness||r.width);o.swapAttrs(t,["error_?.copy_ystyle"]),n&&o.swapAttrs(t,["error_?.color","error_?.thickness","error_?.width"])}if("string"==typeof t.hoverinfo){var i=t.hoverinfo.split("+");for(e=0;e<i.length;e++)"x"===i[e]?i[e]="y":"y"===i[e]&&(i[e]="x");t.hoverinfo=i.join("+")}},r.coerceTraceIndices=function(t,e){if(n(e))return[e];if(!Array.isArray(e)||!e.length)return t.data.map((function(t,e){return e}));if(Array.isArray(e)){for(var r=[],i=0;i<e.length;i++)o.isIndex(e[i],t.data.length)?r.push(e[i]):o.warn("trace index (",e[i],") is not a number or is out of bounds");return r}return e},r.manageArrayContainers=function(t,e,r){var i=t.obj,a=t.parts,s=a.length,l=a[s-1],c=n(l);if(c&&null===e){var u=a.slice(0,s-1).join(".");o.nestedProperty(i,u).get().splice(l,1)}else c&&void 0===t.get()?(void 0===t.get()&&(r[t.astr]=null),t.set(e)):t.set(e)};var x=/(\.[^\[\]\.]+|\[[^\[\]\.]+\])$/;function b(t){var e=t.search(x);if(e>0)return t.substr(0,e)}r.hasParent=function(t,e){for(var r=b(e);r;){if(r in t)return!0;r=b(r)}return!1};var _=["x","y","z"];r.clearAxisTypes=function(t,e,r){for(var n=0;n<e.length;n++)for(var i=t._fullData[n],a=0;a<3;a++){var s=h(t,i,_[a]);if(s&&"log"!==s.type){var l=s._name,c=s._id.substr(1);if("scene"===c.substr(0,5)){if(void 0!==r[c])continue;l=c+"."+l}var u=l+".type";void 0===r[l]&&void 0===r[u]&&o.nestedProperty(t.layout,u).set(null)}}}},{"../components/color":615,"../lib":750,"../plots/cartesian/axis_ids":802,"../plots/plots":862,"../registry":882,"fast-isnumeric":241,"gl-mat4/fromQuat":275}],783:[function(t,e,r){"use strict";var n=t("./plot_api");r.plot=n.plot,r.newPlot=n.newPlot,r.restyle=n.restyle,r.relayout=n.relayout,r.redraw=n.redraw,r.update=n.update,r._guiRestyle=n._guiRestyle,r._guiRelayout=n._guiRelayout,r._guiUpdate=n._guiUpdate,r._storeDirectGUIEdit=n._storeDirectGUIEdit,r.react=n.react,r.extendTraces=n.extendTraces,r.prependTraces=n.prependTraces,r.addTraces=n.addTraces,r.deleteTraces=n.deleteTraces,r.moveTraces=n.moveTraces,r.purge=n.purge,r.addFrames=n.addFrames,r.deleteFrames=n.deleteFrames,r.animate=n.animate,r.setPlotConfig=n.setPlotConfig,r.toImage=t("./to_image"),r.validate=t("./validate"),r.downloadImage=t("../snapshot/download");var i=t("./template_api");r.makeTemplate=i.makeTemplate,r.validateTemplate=i.validateTemplate},{"../snapshot/download":884,"./plot_api":785,"./template_api":790,"./to_image":791,"./validate":792}],784:[function(t,e,r){"use strict";var n=t("../lib/is_plain_object"),i=t("../lib/noop"),a=t("../lib/loggers"),o=t("../lib/search").sorterAsc,s=t("../registry");r.containerArrayMatch=t("./container_array_match");var l=r.isAddVal=function(t){return"add"===t||n(t)},c=r.isRemoveVal=function(t){return null===t||"remove"===t};r.applyContainerArrayChanges=function(t,e,r,n,u){var h=e.astr,f=s.getComponentMethod(h,"supplyLayoutDefaults"),p=s.getComponentMethod(h,"draw"),d=s.getComponentMethod(h,"drawOne"),g=n.replot||n.recalc||f===i||p===i,m=t.layout,v=t._fullLayout;if(r[""]){Object.keys(r).length>1&&a.warn("Full array edits are incompatible with other edits",h);var y=r[""][""];if(c(y))e.set(null);else{if(!Array.isArray(y))return a.warn("Unrecognized full array edit value",h,y),!0;e.set(y)}return!g&&(f(m,v),p(t),!0)}var x,b,_,w,T,k,M,A,S=Object.keys(r).map(Number).sort(o),E=e.get(),C=E||[],L=u(v,h).get(),P=[],I=-1,z=C.length;for(x=0;x<S.length;x++)if(w=r[_=S[x]],T=Object.keys(w),k=w[""],M=l(k),_<0||_>C.length-(M?0:1))a.warn("index out of range",h,_);else if(void 0!==k)T.length>1&&a.warn("Insertion & removal are incompatible with edits to the same index.",h,_),c(k)?P.push(_):M?("add"===k&&(k={}),C.splice(_,0,k),L&&L.splice(_,0,{})):a.warn("Unrecognized full object edit value",h,_,k),-1===I&&(I=_);else for(b=0;b<T.length;b++)A=h+"["+_+"].",u(C[_],T[b],A).set(w[T[b]]);for(x=P.length-1;x>=0;x--)C.splice(P[x],1),L&&L.splice(P[x],1);if(C.length?E||e.set(C):e.set(null),g)return!1;if(f(m,v),d!==i){var O;if(-1===I)O=S;else{for(z=Math.max(C.length,z),O=[],x=0;x<S.length&&!((_=S[x])>=I);x++)O.push(_);for(x=I;x<z;x++)O.push(x)}for(x=0;x<O.length;x++)d(t,O[x])}else p(t);return!0}},{"../lib/is_plain_object":751,"../lib/loggers":754,"../lib/noop":759,"../lib/search":769,"../registry":882,"./container_array_match":780}],785:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("has-hover"),o=t("../lib"),s=o.nestedProperty,l=t("../lib/events"),c=t("../lib/queue"),u=t("../registry"),h=t("./plot_schema"),f=t("../plots/plots"),p=t("../plots/polar/legacy"),d=t("../plots/cartesian/axes"),g=t("../components/drawing"),m=t("../components/color"),v=t("../plots/cartesian/graph_interact").initInteractions,y=t("../constants/xmlns_namespaces"),x=t("../lib/svg_text_utils"),b=t("../plots/cartesian/select").clearSelect,_=t("./plot_config").dfltConfig,w=t("./manage_arrays"),T=t("./helpers"),k=t("./subroutines"),M=t("./edit_types"),A=t("../plots/cartesian/constants").AX_NAME_PATTERN,S=0;function E(t){var e=t._fullLayout;e._redrawFromAutoMarginCount?e._redrawFromAutoMarginCount--:t.emit("plotly_afterplot")}function C(t,e){try{t._fullLayout._paper.style("background",e)}catch(t){o.error(t)}}function L(t,e){C(t,m.combine(e,"white"))}function P(t,e){if(!t._context){t._context=o.extendDeep({},_);var r=n.select("base");t._context._baseUrl=r.size()&&r.attr("href")?window.location.href.split("#")[0]:""}var i,s,l,c=t._context;if(e){for(s=Object.keys(e),i=0;i<s.length;i++)"editable"!==(l=s[i])&&"edits"!==l&&l in c&&("setBackground"===l&&"opaque"===e[l]?c[l]=L:c[l]=e[l]);e.plot3dPixelRatio&&!c.plotGlPixelRatio&&(c.plotGlPixelRatio=c.plot3dPixelRatio);var u=e.editable;if(void 0!==u)for(c.editable=u,s=Object.keys(c.edits),i=0;i<s.length;i++)c.edits[s[i]]=u;if(e.edits)for(s=Object.keys(e.edits),i=0;i<s.length;i++)(l=s[i])in c.edits&&(c.edits[l]=e.edits[l]);c._exportedPlot=e._exportedPlot}c.staticPlot&&(c.editable=!1,c.edits={},c.autosizable=!1,c.scrollZoom=!1,c.doubleClick=!1,c.showTips=!1,c.showLink=!1,c.displayModeBar=!1),"hover"!==c.displayModeBar||a||(c.displayModeBar=!0),"transparent"!==c.setBackground&&"function"==typeof c.setBackground||(c.setBackground=C),c._hasZeroHeight=c._hasZeroHeight||0===t.clientHeight,c._hasZeroWidth=c._hasZeroWidth||0===t.clientWidth;var h=c.scrollZoom,f=c._scrollZoom={};if(!0===h)f.cartesian=1,f.gl3d=1,f.geo=1,f.mapbox=1;else if("string"==typeof h){var p=h.split("+");for(i=0;i<p.length;i++)f[p[i]]=1}else!1!==h&&(f.gl3d=1,f.geo=1,f.mapbox=1)}function I(t,e){var r,n,i=e+1,a=[];for(r=0;r<t.length;r++)(n=t[r])<0?a.push(i+n):a.push(n);return a}function z(t,e,r){var n,i;for(n=0;n<e.length;n++){if((i=e[n])!==parseInt(i,10))throw new Error("all values in "+r+" must be integers");if(i>=t.data.length||i<-t.data.length)throw new Error(r+" must be valid indices for gd.data.");if(e.indexOf(i,n+1)>-1||i>=0&&e.indexOf(-t.data.length+i)>-1||i<0&&e.indexOf(t.data.length+i)>-1)throw new Error("each index in "+r+" must be unique.")}}function O(t,e,r){if(!Array.isArray(t.data))throw new Error("gd.data must be an array.");if("undefined"==typeof e)throw new Error("currentIndices is a required argument.");if(Array.isArray(e)||(e=[e]),z(t,e,"currentIndices"),"undefined"==typeof r||Array.isArray(r)||(r=[r]),"undefined"!=typeof r&&z(t,r,"newIndices"),"undefined"!=typeof r&&e.length!==r.length)throw new Error("current and new indices must be of equal length.")}function D(t,e,r,n,a){!function(t,e,r,n){var i=o.isPlainObject(n);if(!Array.isArray(t.data))throw new Error("gd.data must be an array");if(!o.isPlainObject(e))throw new Error("update must be a key:value object");if("undefined"==typeof r)throw new Error("indices must be an integer or array of integers");for(var a in z(t,r,"indices"),e){if(!Array.isArray(e[a])||e[a].length!==r.length)throw new Error("attribute "+a+" must be an array of length equal to indices array length");if(i&&(!(a in n)||!Array.isArray(n[a])||n[a].length!==e[a].length))throw new Error("when maxPoints is set as a key:value object it must contain a 1:1 corrispondence with the keys and number of traces in the update object")}}(t,e,r,n);for(var l=function(t,e,r,n){var a,l,c,u,h,f=o.isPlainObject(n),p=[];for(var d in Array.isArray(r)||(r=[r]),r=I(r,t.data.length-1),e)for(var g=0;g<r.length;g++){if(a=t.data[r[g]],l=(c=s(a,d)).get(),u=e[d][g],!o.isArrayOrTypedArray(u))throw new Error("attribute: "+d+" index: "+g+" must be an array");if(!o.isArrayOrTypedArray(l))throw new Error("cannot extend missing or non-array attribute: "+d);if(l.constructor!==u.constructor)throw new Error("cannot extend array with an array of a different type: "+d);h=f?n[d][g]:n,i(h)||(h=-1),p.push({prop:c,target:l,insert:u,maxp:Math.floor(h)})}return p}(t,e,r,n),c={},u={},h=0;h<l.length;h++){var f=l[h].prop,p=l[h].maxp,d=a(l[h].target,l[h].insert,p);f.set(d[0]),Array.isArray(c[f.astr])||(c[f.astr]=[]),c[f.astr].push(d[1]),Array.isArray(u[f.astr])||(u[f.astr]=[]),u[f.astr].push(l[h].target.length)}return{update:c,maxPoints:u}}function R(t,e){var r=new t.constructor(t.length+e.length);return r.set(t),r.set(e,t.length),r}function F(t,e,n,i){t=o.getGraphDiv(t),T.clearPromiseQueue(t);var a={};if("string"==typeof e)a[e]=n;else{if(!o.isPlainObject(e))return o.warn("Restyle fail.",e,n,i),Promise.reject();a=o.extendFlat({},e),void 0===i&&(i=n)}Object.keys(a).length&&(t.changed=!0);var s=T.coerceTraceIndices(t,i),l=U(t,a,s),u=l.flags;u.calc&&(t.calcdata=void 0),u.clearAxisTypes&&T.clearAxisTypes(t,s,{});var h=[];u.fullReplot?h.push(r.plot):(h.push(f.previousPromises),f.supplyDefaults(t),u.markerSize&&(f.doCalcdata(t),G(h)),u.style&&h.push(k.doTraceStyle),u.colorbars&&h.push(k.doColorBars),h.push(E)),h.push(f.rehover,f.redrag),c.add(t,F,[t,l.undoit,l.traces],F,[t,l.redoit,l.traces]);var p=o.syncOrAsync(h,t);return p&&p.then||(p=Promise.resolve()),p.then((function(){return t.emit("plotly_restyle",l.eventData),t}))}function B(t){return void 0===t?null:t}function N(t,e){return e?function(e,r,n){var i=s(e,r),a=i.set;return i.set=function(e){j((n||"")+r,i.get(),e,t),a(e)},i}:s}function j(t,e,r,n){if(Array.isArray(e)||Array.isArray(r))for(var i=Array.isArray(e)?e:[],a=Array.isArray(r)?r:[],s=Math.max(i.length,a.length),l=0;l<s;l++)j(t+"["+l+"]",i[l],a[l],n);else if(o.isPlainObject(e)||o.isPlainObject(r)){var c=o.isPlainObject(e)?e:{},u=o.isPlainObject(r)?r:{},h=o.extendFlat({},c,u);for(var f in h)j(t+"."+f,c[f],u[f],n)}else void 0===n[t]&&(n[t]=B(e))}function U(t,e,r){var n,i=t._fullLayout,a=t._fullData,l=t.data,c=i._guiEditing,p=N(i._preGUI,c),g=o.extendDeepAll({},e);V(e);var m,v=M.traceFlags(),y={},x={};function b(){return r.map((function(){}))}function _(t){var e=d.id2name(t);-1===m.indexOf(e)&&m.push(e)}function w(t){return"LAYOUT"+t+".autorange"}function k(t){return"LAYOUT"+t+".range"}function A(t){for(var e=t;e<a.length;e++)if(a[e]._input===l[t])return a[e]}function S(n,a,o){if(Array.isArray(n))n.forEach((function(t){S(t,a,o)}));else if(!(n in e)&&!T.hasParent(e,n)){var s;if("LAYOUT"===n.substr(0,6))s=p(t.layout,n.replace("LAYOUT",""));else{var u=r[o];s=N(i._tracePreGUI[A(u)._fullInput.uid],c)(l[u],n)}n in x||(x[n]=b()),void 0===x[n][o]&&(x[n][o]=B(s.get())),void 0!==a&&s.set(a)}}function E(t){return function(e){return a[e][t]}}function C(t){return function(e,n){return!1===e?a[r[n]][t]:null}}for(var L in e){if(T.hasParent(e,L))throw new Error("cannot set "+L+" and a parent attribute simultaneously");var P,I,z,O,D,R,F=e[L];if("autobinx"!==L&&"autobiny"!==L||(L=L.charAt(L.length-1)+"bins",F=Array.isArray(F)?F.map(C(L)):!1===F?r.map(E(L)):null),y[L]=F,"LAYOUT"!==L.substr(0,6)){for(x[L]=b(),n=0;n<r.length;n++){if(P=l[r[n]],I=A(r[n]),O=(z=N(i._tracePreGUI[I._fullInput.uid],c)(P,L)).get(),void 0!==(D=Array.isArray(F)?F[n%F.length]:F)){var j=z.parts[z.parts.length-1],U=L.substr(0,L.length-j.length-1),q=U?U+".":"",H=U?s(I,U).get():I;if((R=h.getTraceValObject(I,z.parts))&&R.impliedEdits&&null!==D)for(var G in R.impliedEdits)S(o.relativeAttr(L,G),R.impliedEdits[G],n);else if("thicknessmode"!==j&&"lenmode"!==j||O===D||"fraction"!==D&&"pixels"!==D||!H){if("type"===L&&("pie"===D!=("pie"===O)||"funnelarea"===D!=("funnelarea"===O))){var Y="x",W="y";"bar"!==D&&"bar"!==O||"h"!==P.orientation||(Y="y",W="x"),o.swapAttrs(P,["?","?src"],"labels",Y),o.swapAttrs(P,["d?","?0"],"label",Y),o.swapAttrs(P,["?","?src"],"values",W),"pie"===O||"funnelarea"===O?(s(P,"marker.color").set(s(P,"marker.colors").get()),i._pielayer.selectAll("g.trace").remove()):u.traceIs(P,"cartesian")&&s(P,"marker.colors").set(s(P,"marker.color").get())}}else{var Z=i._size,X=H.orient,J="top"===X||"bottom"===X;if("thicknessmode"===j){var K=J?Z.h:Z.w;S(q+"thickness",H.thickness*("fraction"===D?1/K:K),n)}else{var Q=J?Z.w:Z.h;S(q+"len",H.len*("fraction"===D?1/Q:Q),n)}}x[L][n]=B(O);if(-1!==["swapxy","swapxyaxes","orientation","orientationaxes"].indexOf(L)){if("orientation"===L){z.set(D);var $=P.x&&!P.y?"h":"v";if((z.get()||$)===I.orientation)continue}else"orientationaxes"===L&&(P.orientation={v:"h",h:"v"}[I.orientation]);T.swapXYData(P),v.calc=v.clearAxisTypes=!0}else-1!==f.dataArrayContainers.indexOf(z.parts[0])?(T.manageArrayContainers(z,D,x),v.calc=!0):(R?R.arrayOk&&!u.traceIs(I,"regl")&&(o.isArrayOrTypedArray(D)||o.isArrayOrTypedArray(O))?v.calc=!0:M.update(v,R):v.calc=!0,z.set(D))}}if(-1!==["swapxyaxes","orientationaxes"].indexOf(L)&&d.swap(t,r),"orientationaxes"===L){var tt=s(t.layout,"hovermode"),et=tt.get();"x"===et?tt.set("y"):"y"===et?tt.set("x"):"x unified"===et?tt.set("y unified"):"y unified"===et&&tt.set("x unified")}if(-1!==["orientation","type"].indexOf(L)){for(m=[],n=0;n<r.length;n++){var rt=l[r[n]];u.traceIs(rt,"cartesian")&&(_(rt.xaxis||"x"),_(rt.yaxis||"y"))}S(m.map(w),!0,0),S(m.map(k),[0,1],0)}}else z=p(t.layout,L.replace("LAYOUT","")),x[L]=[B(z.get())],z.set(Array.isArray(F)?F[0]:F),v.calc=!0}return(v.calc||v.plot)&&(v.fullReplot=!0),{flags:v,undoit:x,redoit:y,traces:r,eventData:o.extendDeepNoArrays([],[g,r])}}function V(t){var e,r,n,i=o.counterRegex("axis",".title",!1,!1),a=/colorbar\.title$/,s=Object.keys(t);for(e=0;e<s.length;e++)r=s[e],n=t[r],"title"!==r&&!i.test(r)&&!a.test(r)||"string"!=typeof n&&"number"!=typeof n?r.indexOf("titlefont")>-1?l(r,r.replace("titlefont","title.font")):r.indexOf("titleposition")>-1?l(r,r.replace("titleposition","title.position")):r.indexOf("titleside")>-1?l(r,r.replace("titleside","title.side")):r.indexOf("titleoffset")>-1&&l(r,r.replace("titleoffset","title.offset")):l(r,r.replace("title","title.text"));function l(e,r){t[r]=t[e],delete t[e]}}function q(t,e,r){if(t=o.getGraphDiv(t),T.clearPromiseQueue(t),t.framework&&t.framework.isPolar)return Promise.resolve(t);var n={};if("string"==typeof e)n[e]=r;else{if(!o.isPlainObject(e))return o.warn("Relayout fail.",e,r),Promise.reject();n=o.extendFlat({},e)}Object.keys(n).length&&(t.changed=!0);var i=X(t,n),a=i.flags;a.calc&&(t.calcdata=void 0);var s=[f.previousPromises];a.layoutReplot?s.push(k.layoutReplot):Object.keys(n).length&&(H(t,a,i)||f.supplyDefaults(t),a.legend&&s.push(k.doLegend),a.layoutstyle&&s.push(k.layoutStyles),a.axrange&&G(s,i.rangesAltered),a.ticks&&s.push(k.doTicksRelayout),a.modebar&&s.push(k.doModeBar),a.camera&&s.push(k.doCamera),a.colorbars&&s.push(k.doColorBars),s.push(E)),s.push(f.rehover,f.redrag),c.add(t,q,[t,i.undoit],q,[t,i.redoit]);var l=o.syncOrAsync(s,t);return l&&l.then||(l=Promise.resolve(t)),l.then((function(){return t.emit("plotly_relayout",i.eventData),t}))}function H(t,e,r){var n=t._fullLayout;if(!e.axrange)return!1;for(var i in e)if("axrange"!==i&&e[i])return!1;for(var a in r.rangesAltered){var o=d.id2name(a),s=t.layout[o],l=n[o];if(l.autorange=s.autorange,l.range=s.range.slice(),l.cleanRange(),l._matchGroup)for(var c in l._matchGroup)if(c!==a){var u=n[d.id2name(c)];u.autorange=l.autorange,u.range=l.range.slice(),u._input.range=l.range.slice()}}return!0}function G(t,e){var r=e?function(t){var r=[],n=!0;for(var i in e){var a=d.getFromId(t,i);if(r.push(i),a._matchGroup)for(var o in a._matchGroup)e[o]||r.push(o);a.automargin&&(n=!1)}return d.draw(t,r,{skipTitle:n})}:function(t){return d.draw(t,"redraw")};t.push(b,k.doAutoRangeAndConstraints,r,k.drawData,k.finalDraw)}var Y=/^[xyz]axis[0-9]*\.range(\[[0|1]\])?$/,W=/^[xyz]axis[0-9]*\.autorange$/,Z=/^[xyz]axis[0-9]*\.domain(\[[0|1]\])?$/;function X(t,e){var r,n,i,a=t.layout,l=t._fullLayout,c=l._guiEditing,f=N(l._preGUI,c),p=Object.keys(e),g=d.list(t),m=o.extendDeepAll({},e),v={};for(V(e),p=Object.keys(e),n=0;n<p.length;n++)if(0===p[n].indexOf("allaxes")){for(i=0;i<g.length;i++){var y=g[i]._id.substr(1),x=-1!==y.indexOf("scene")?y+".":"",b=p[n].replace("allaxes",x+g[i]._name);e[b]||(e[b]=e[p[n]])}delete e[p[n]]}var _=M.layoutFlags(),k={},S={};function E(t,r){if(Array.isArray(t))t.forEach((function(t){E(t,r)}));else if(!(t in e)&&!T.hasParent(e,t)){var n=f(a,t);t in S||(S[t]=B(n.get())),void 0!==r&&n.set(r)}}var C,L={};function P(t){var e=d.name2id(t.split(".")[0]);return L[e]=1,e}for(var I in e){if(T.hasParent(e,I))throw new Error("cannot set "+I+" and a parent attribute simultaneously");for(var z=f(a,I),O=e[I],D=z.parts.length-1;D>0&&"string"!=typeof z.parts[D];)D--;var R=z.parts[D],F=z.parts[D-1]+"."+R,j=z.parts.slice(0,D).join("."),U=s(t.layout,j).get(),q=s(l,j).get(),H=z.get();if(void 0!==O){k[I]=O,S[I]="reverse"===R?O:B(H);var G=h.getLayoutValObject(l,z.parts);if(G&&G.impliedEdits&&null!==O)for(var X in G.impliedEdits)E(o.relativeAttr(I,X),G.impliedEdits[X]);if(-1!==["width","height"].indexOf(I))if(O){E("autosize",null);var K="height"===I?"width":"height";E(K,l[K])}else l[I]=t._initialAutoSize[I];else if("autosize"===I)E("width",O?null:l.width),E("height",O?null:l.height);else if(F.match(Y))P(F),s(l,j+"._inputRange").set(null);else if(F.match(W)){P(F),s(l,j+"._inputRange").set(null);var Q=s(l,j).get();Q._inputDomain&&(Q._input.domain=Q._inputDomain.slice())}else F.match(Z)&&s(l,j+"._inputDomain").set(null);if("type"===R){var $=U,tt="linear"===q.type&&"log"===O,et="log"===q.type&&"linear"===O;if(tt||et){if($&&$.range)if(q.autorange)tt&&($.range=$.range[1]>$.range[0]?[1,2]:[2,1]);else{var rt=$.range[0],nt=$.range[1];tt?(rt<=0&&nt<=0&&E(j+".autorange",!0),rt<=0?rt=nt/1e6:nt<=0&&(nt=rt/1e6),E(j+".range[0]",Math.log(rt)/Math.LN10),E(j+".range[1]",Math.log(nt)/Math.LN10)):(E(j+".range[0]",Math.pow(10,rt)),E(j+".range[1]",Math.pow(10,nt)))}else E(j+".autorange",!0);Array.isArray(l._subplots.polar)&&l._subplots.polar.length&&l[z.parts[0]]&&"radialaxis"===z.parts[1]&&delete l[z.parts[0]]._subplot.viewInitial["radialaxis.range"],u.getComponentMethod("annotations","convertCoords")(t,q,O,E),u.getComponentMethod("images","convertCoords")(t,q,O,E)}else E(j+".autorange",!0),E(j+".range",null);s(l,j+"._inputRange").set(null)}else if(R.match(A)){var it=s(l,I).get(),at=(O||{}).type;at&&"-"!==at||(at="linear"),u.getComponentMethod("annotations","convertCoords")(t,it,at,E),u.getComponentMethod("images","convertCoords")(t,it,at,E)}var ot=w.containerArrayMatch(I);if(ot){r=ot.array,n=ot.index;var st=ot.property,lt=G||{editType:"calc"};""!==n&&""===st&&(w.isAddVal(O)?S[I]=null:w.isRemoveVal(O)?S[I]=(s(a,r).get()||[])[n]:o.warn("unrecognized full object value",e)),M.update(_,lt),v[r]||(v[r]={});var ct=v[r][n];ct||(ct=v[r][n]={}),ct[st]=O,delete e[I]}else"reverse"===R?(U.range?U.range.reverse():(E(j+".autorange",!0),U.range=[1,0]),q.autorange?_.calc=!0:_.plot=!0):(l._has("scatter-like")&&l._has("regl")&&"dragmode"===I&&("lasso"===O||"select"===O)&&"lasso"!==H&&"select"!==H||l._has("gl2d")?_.plot=!0:G?M.update(_,G):_.calc=!0,z.set(O))}}for(r in v){w.applyContainerArrayChanges(t,f(a,r),v[r],_,f)||(_.plot=!0)}var ut=l._axisConstraintGroups||[];for(C in L)for(n=0;n<ut.length;n++){var ht=ut[n];if(ht[C])for(var ft in _.calc=!0,ht)L[ft]||(d.getFromId(t,ft)._constraintShrinkable=!0)}return(J(t)||e.height||e.width)&&(_.plot=!0),(_.plot||_.calc)&&(_.layoutReplot=!0),{flags:_,rangesAltered:L,undoit:S,redoit:k,eventData:m}}function J(t){var e=t._fullLayout,r=e.width,n=e.height;return t.layout.autosize&&f.plotAutoSize(t,t.layout,e),e.width!==r||e.height!==n}function K(t,e,n,i){if(t=o.getGraphDiv(t),T.clearPromiseQueue(t),t.framework&&t.framework.isPolar)return Promise.resolve(t);o.isPlainObject(e)||(e={}),o.isPlainObject(n)||(n={}),Object.keys(e).length&&(t.changed=!0),Object.keys(n).length&&(t.changed=!0);var a=T.coerceTraceIndices(t,i),s=U(t,o.extendFlat({},e),a),l=s.flags,u=X(t,o.extendFlat({},n)),h=u.flags;(l.calc||h.calc)&&(t.calcdata=void 0),l.clearAxisTypes&&T.clearAxisTypes(t,a,n);var p=[];h.layoutReplot?p.push(k.layoutReplot):l.fullReplot?p.push(r.plot):(p.push(f.previousPromises),H(t,h,u)||f.supplyDefaults(t),l.style&&p.push(k.doTraceStyle),(l.colorbars||h.colorbars)&&p.push(k.doColorBars),h.legend&&p.push(k.doLegend),h.layoutstyle&&p.push(k.layoutStyles),h.axrange&&G(p,u.rangesAltered),h.ticks&&p.push(k.doTicksRelayout),h.modebar&&p.push(k.doModeBar),h.camera&&p.push(k.doCamera),p.push(E)),p.push(f.rehover,f.redrag),c.add(t,K,[t,s.undoit,u.undoit,s.traces],K,[t,s.redoit,u.redoit,s.traces]);var d=o.syncOrAsync(p,t);return d&&d.then||(d=Promise.resolve(t)),d.then((function(){return t.emit("plotly_update",{data:s.eventData,layout:u.eventData}),t}))}function Q(t){return function(e){e._fullLayout._guiEditing=!0;var r=t.apply(null,arguments);return e._fullLayout._guiEditing=!1,r}}var $=[{pattern:/^hiddenlabels/,attr:"legend.uirevision"},{pattern:/^((x|y)axis\d*)\.((auto)?range|title\.text)/},{pattern:/axis\d*\.showspikes$/,attr:"modebar.uirevision"},{pattern:/(hover|drag)mode$/,attr:"modebar.uirevision"},{pattern:/^(scene\d*)\.camera/},{pattern:/^(geo\d*)\.(projection|center|fitbounds)/},{pattern:/^(ternary\d*\.[abc]axis)\.(min|title\.text)$/},{pattern:/^(polar\d*\.radialaxis)\.((auto)?range|angle|title\.text)/},{pattern:/^(polar\d*\.angularaxis)\.rotation/},{pattern:/^(mapbox\d*)\.(center|zoom|bearing|pitch)/},{pattern:/^legend\.(x|y)$/,attr:"editrevision"},{pattern:/^(shapes|annotations)/,attr:"editrevision"},{pattern:/^title\.text$/,attr:"editrevision"}],tt=[{pattern:/^selectedpoints$/,attr:"selectionrevision"},{pattern:/(^|value\.)visible$/,attr:"legend.uirevision"},{pattern:/^dimensions\[\d+\]\.constraintrange/},{pattern:/^node\.(x|y|groups)/},{pattern:/^level$/},{pattern:/(^|value\.)name$/},{pattern:/colorbar\.title\.text$/},{pattern:/colorbar\.(x|y)$/,attr:"editrevision"}];function et(t,e){for(var r=0;r<e.length;r++){var n=e[r],i=t.match(n.pattern);if(i)return{head:i[1],attr:n.attr}}}function rt(t,e){var r=s(e,t).get();if(void 0!==r)return r;var n=t.split(".");for(n.pop();n.length>1;)if(n.pop(),void 0!==(r=s(e,n.join(".")+".uirevision").get()))return r;return e.uirevision}function nt(t,e){for(var r=0;r<e.length;r++)if(e[r]._fullInput.uid===t)return r;return-1}function it(t,e,r){for(var n=0;n<e.length;n++)if(e[n].uid===t)return n;return!e[r]||e[r].uid?-1:r}function at(t,e){var r=o.isPlainObject(t),n=Array.isArray(t);return r||n?(r&&o.isPlainObject(e)||n&&Array.isArray(e))&&JSON.stringify(t)===JSON.stringify(e):t===e}function ot(t,e,r,n){var i,a,l,c=n.getValObject,u=n.flags,h=n.immutable,f=n.inArray,p=n.arrayIndex;function d(){var t=i.editType;f&&-1!==t.indexOf("arraydraw")?o.pushUnique(u.arrays[f],p):(M.update(u,i),"none"!==t&&u.nChanges++,n.transition&&i.anim&&u.nChangesAnim++,(Y.test(l)||W.test(l))&&(u.rangesAltered[r[0]]=1),Z.test(l)&&s(e,"_inputDomain").set(null),"datarevision"===a&&(u.newDataRevision=1))}function g(t){return"data_array"===t.valType||t.arrayOk}for(a in t){if(u.calc&&!n.transition)return;var m=t[a],v=e[a],y=r.concat(a);if(l=y.join("."),"_"!==a.charAt(0)&&"function"!=typeof m&&m!==v){if(("tick0"===a||"dtick"===a)&&"geo"!==r[0]){var x=e.tickmode;if("auto"===x||"array"===x||!x)continue}if(("range"!==a||!e.autorange)&&("zmin"!==a&&"zmax"!==a||"contourcarpet"!==e.type)&&(i=c(y))&&(!i._compareAsJSON||JSON.stringify(m)!==JSON.stringify(v))){var b,_=i.valType,w=g(i),T=Array.isArray(m),k=Array.isArray(v);if(T&&k){var A="_input_"+a,S=t[A],E=e[A];if(Array.isArray(S)&&S===E)continue}if(void 0===v)w&&T?u.calc=!0:d();else if(i._isLinkedToArray){var C=[],L=!1;f||(u.arrays[a]=C);var P=Math.min(m.length,v.length),I=Math.max(m.length,v.length);if(P!==I){if("arraydraw"!==i.editType){d();continue}L=!0}for(b=0;b<P;b++)ot(m[b],v[b],y.concat(b),o.extendFlat({inArray:a,arrayIndex:b},n));if(L)for(b=P;b<I;b++)C.push(b)}else!_&&o.isPlainObject(m)?ot(m,v,y,n):w?T&&k?(h&&(u.calc=!0),(h||n.newDataRevision)&&d()):T!==k?u.calc=!0:d():T&&k&&m.length===v.length&&String(m)===String(v)||d()}}}for(a in e)if(!(a in t)&&"_"!==a.charAt(0)&&"function"!=typeof e[a]){if(g(i=c(r.concat(a)))&&Array.isArray(e[a]))return void(u.calc=!0);d()}}function st(t){var e=n.select(t),r=t._fullLayout;if(r._container=e.selectAll(".plot-container").data([0]),r._container.enter().insert("div",":first-child").classed("plot-container",!0).classed("plotly",!0),r._paperdiv=r._container.selectAll(".svg-container").data([0]),r._paperdiv.enter().append("div").classed("user-select-none",!0).classed("svg-container",!0).style("position","relative"),r._glcontainer=r._paperdiv.selectAll(".gl-container").data([{}]),r._glcontainer.enter().append("div").classed("gl-container",!0),r._paperdiv.selectAll(".main-svg").remove(),r._paperdiv.select(".modebar-container").remove(),r._paper=r._paperdiv.insert("svg",":first-child").classed("main-svg",!0),r._toppaper=r._paperdiv.append("svg").classed("main-svg",!0),r._modebardiv=r._paperdiv.append("div"),delete r._modeBar,r._hoverpaper=r._paperdiv.append("svg").classed("main-svg",!0),!r._uid){var i={};n.selectAll("defs").each((function(){this.id&&(i[this.id.split("-")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(".main-svg").attr(y.svgAttrs),r._defs=r._paper.append("defs").attr("id","defs-"+r._uid),r._clips=r._defs.append("g").classed("clips",!0),r._topdefs=r._toppaper.append("defs").attr("id","topdefs-"+r._uid),r._topclips=r._topdefs.append("g").classed("clips",!0),r._bgLayer=r._paper.append("g").classed("bglayer",!0),r._draggers=r._paper.append("g").classed("draglayer",!0);var a=r._paper.append("g").classed("layer-below",!0);r._imageLowerLayer=a.append("g").classed("imagelayer",!0),r._shapeLowerLayer=a.append("g").classed("shapelayer",!0),r._cartesianlayer=r._paper.append("g").classed("cartesianlayer",!0),r._polarlayer=r._paper.append("g").classed("polarlayer",!0),r._ternarylayer=r._paper.append("g").classed("ternarylayer",!0),r._geolayer=r._paper.append("g").classed("geolayer",!0),r._funnelarealayer=r._paper.append("g").classed("funnelarealayer",!0),r._pielayer=r._paper.append("g").classed("pielayer",!0),r._treemaplayer=r._paper.append("g").classed("treemaplayer",!0),r._sunburstlayer=r._paper.append("g").classed("sunburstlayer",!0),r._indicatorlayer=r._toppaper.append("g").classed("indicatorlayer",!0),r._glimages=r._paper.append("g").classed("glimages",!0);var s=r._toppaper.append("g").classed("layer-above",!0);r._imageUpperLayer=s.append("g").classed("imagelayer",!0),r._shapeUpperLayer=s.append("g").classed("shapelayer",!0),r._infolayer=r._toppaper.append("g").classed("infolayer",!0),r._menulayer=r._toppaper.append("g").classed("menulayer",!0),r._zoomlayer=r._toppaper.append("g").classed("zoomlayer",!0),r._hoverlayer=r._hoverpaper.append("g").classed("hoverlayer",!0),r._modebardiv.classed("modebar-container",!0).style("position","absolute").style("top","0px").style("right","0px"),t.emit("plotly_framework")}r.animate=function(t,e,r){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t+". It's likely that you've failed to create a plot before animating it. For more details, see https://plotly.com/javascript/animations/");var n=t._transitionData;n._frameQueue||(n._frameQueue=[]);var i=(r=f.supplyAnimationDefaults(r)).transition,a=r.frame;function s(t){return Array.isArray(i)?t>=i.length?i[0]:i[t]:i}function l(t){return Array.isArray(a)?t>=a.length?a[0]:a[t]:a}function c(t,e){var r=0;return function(){if(t&&++r===e)return t()}}return void 0===n._frameWaitingCnt&&(n._frameWaitingCnt=0),new Promise((function(a,u){function h(){n._currentFrame&&n._currentFrame.onComplete&&n._currentFrame.onComplete();var e=n._currentFrame=n._frameQueue.shift();if(e){var r=e.name?e.name.toString():null;t._fullLayout._currentFrame=r,n._lastFrameAt=Date.now(),n._timeToNext=e.frameOpts.duration,f.transition(t,e.frame.data,e.frame.layout,T.coerceTraceIndices(t,e.frame.traces),e.frameOpts,e.transitionOpts).then((function(){e.onComplete&&e.onComplete()})),t.emit("plotly_animatingframe",{name:r,frame:e.frame,animation:{frame:e.frameOpts,transition:e.transitionOpts}})}else t.emit("plotly_animated"),window.cancelAnimationFrame(n._animationRaf),n._animationRaf=null}function p(){t.emit("plotly_animating"),n._lastFrameAt=-1/0,n._timeToNext=0,n._runningTransitions=0,n._currentFrame=null;var e=function(){n._animationRaf=window.requestAnimationFrame(e),Date.now()-n._lastFrameAt>n._timeToNext&&h()};e()}var d,g,m=0;function v(t){return Array.isArray(i)?m>=i.length?t.transitionOpts=i[m]:t.transitionOpts=i[0]:t.transitionOpts=i,m++,t}var y=[],x=null==e,b=Array.isArray(e);if(!x&&!b&&o.isPlainObject(e))y.push({type:"object",data:v(o.extendFlat({},e))});else if(x||-1!==["string","number"].indexOf(typeof e))for(d=0;d<n._frames.length;d++)(g=n._frames[d])&&(x||String(g.group)===String(e))&&y.push({type:"byname",name:String(g.name),data:v({name:g.name})});else if(b)for(d=0;d<e.length;d++){var _=e[d];-1!==["number","string"].indexOf(typeof _)?(_=String(_),y.push({type:"byname",name:_,data:v({name:_})})):o.isPlainObject(_)&&y.push({type:"object",data:v(o.extendFlat({},_))})}for(d=0;d<y.length;d++)if("byname"===(g=y[d]).type&&!n._frameHash[g.data.name])return o.warn('animate failure: frame not found: "'+g.data.name+'"'),void u();-1!==["next","immediate"].indexOf(r.mode)&&function(){if(0!==n._frameQueue.length){for(;n._frameQueue.length;){var e=n._frameQueue.pop();e.onInterrupt&&e.onInterrupt()}t.emit("plotly_animationinterrupted",[])}}(),"reverse"===r.direction&&y.reverse();var w=t._fullLayout._currentFrame;if(w&&r.fromcurrent){var k=-1;for(d=0;d<y.length;d++)if("byname"===(g=y[d]).type&&g.name===w){k=d;break}if(k>0&&k<y.length-1){var M=[];for(d=0;d<y.length;d++)g=y[d],("byname"!==y[d].type||d>k)&&M.push(g);y=M}}y.length>0?function(e){if(0!==e.length){for(var i=0;i<e.length;i++){var o;o="byname"===e[i].type?f.computeFrame(t,e[i].name):e[i].data;var h=l(i),d=s(i);d.duration=Math.min(d.duration,h.duration);var g={frame:o,name:e[i].name,frameOpts:h,transitionOpts:d};i===e.length-1&&(g.onComplete=c(a,2),g.onInterrupt=u),n._frameQueue.push(g)}"immediate"===r.mode&&(n._lastFrameAt=-1/0),n._animationRaf||p()}}(y):(t.emit("plotly_animated"),a())}))},r.addFrames=function(t,e,r){if(t=o.getGraphDiv(t),null==e)return Promise.resolve();if(!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t+". It's likely that you've failed to create a plot before adding frames. For more details, see https://plotly.com/javascript/animations/");var n,i,a,s,l=t._transitionData._frames,u=t._transitionData._frameHash;if(!Array.isArray(e))throw new Error("addFrames failure: frameList must be an Array of frame definitions"+e);var h=l.length+2*e.length,p=[],d={};for(n=e.length-1;n>=0;n--)if(o.isPlainObject(e[n])){var g=e[n].name,m=(u[g]||d[g]||{}).name,v=e[n].name,y=u[m]||d[m];m&&v&&"number"==typeof v&&y&&S<5&&(S++,o.warn('addFrames: overwriting frame "'+(u[m]||d[m]).name+'" with a frame whose name of type "number" also equates to "'+m+'". This is valid but may potentially lead to unexpected behavior since all plotly.js frame names are stored internally as strings.'),5===S&&o.warn("addFrames: This API call has yielded too many of these warnings. For the rest of this call, further warnings about numeric frame names will be suppressed.")),d[g]={name:g},p.push({frame:f.supplyFrameDefaults(e[n]),index:r&&void 0!==r[n]&&null!==r[n]?r[n]:h+n})}p.sort((function(t,e){return t.index>e.index?-1:t.index<e.index?1:0}));var x=[],b=[],_=l.length;for(n=p.length-1;n>=0;n--){if("number"==typeof(i=p[n].frame).name&&o.warn("Warning: addFrames accepts frames with numeric names, but the numbers areimplicitly cast to strings"),!i.name)for(;u[i.name="frame "+t._transitionData._counter++];);if(u[i.name]){for(a=0;a<l.length&&(l[a]||{}).name!==i.name;a++);x.push({type:"replace",index:a,value:i}),b.unshift({type:"replace",index:a,value:l[a]})}else s=Math.max(0,Math.min(p[n].index,_)),x.push({type:"insert",index:s,value:i}),b.unshift({type:"delete",index:s}),_++}var w=f.modifyFrames,T=f.modifyFrames,k=[t,b],M=[t,x];return c&&c.add(t,w,k,T,M),f.modifyFrames(t,x)},r.deleteFrames=function(t,e){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);var r,n,i=t._transitionData._frames,a=[],s=[];if(!e)for(e=[],r=0;r<i.length;r++)e.push(r);for((e=e.slice()).sort(),r=e.length-1;r>=0;r--)n=e[r],a.push({type:"delete",index:n}),s.unshift({type:"insert",index:n,value:i[n]});var l=f.modifyFrames,u=f.modifyFrames,h=[t,s],p=[t,a];return c&&c.add(t,l,h,u,p),f.modifyFrames(t,a)},r.addTraces=function t(e,n,i){e=o.getGraphDiv(e);var a,s,l=[],u=r.deleteTraces,h=t,f=[e,l],p=[e,n];for(function(t,e,r){var n,i;if(!Array.isArray(t.data))throw new Error("gd.data must be an array.");if("undefined"==typeof e)throw new Error("traces must be defined.");for(Array.isArray(e)||(e=[e]),n=0;n<e.length;n++)if("object"!=typeof(i=e[n])||Array.isArray(i)||null===i)throw new Error("all values in traces array must be non-array objects");if("undefined"==typeof r||Array.isArray(r)||(r=[r]),"undefined"!=typeof r&&r.length!==e.length)throw new Error("if indices is specified, traces.length must equal indices.length")}(e,n,i),Array.isArray(n)||(n=[n]),n=n.map((function(t){return o.extendFlat({},t)})),T.cleanData(n),a=0;a<n.length;a++)e.data.push(n[a]);for(a=0;a<n.length;a++)l.push(-n.length+a);if("undefined"==typeof i)return s=r.redraw(e),c.add(e,u,f,h,p),s;Array.isArray(i)||(i=[i]);try{O(e,l,i)}catch(t){throw e.data.splice(e.data.length-n.length,n.length),t}return c.startSequence(e),c.add(e,u,f,h,p),s=r.moveTraces(e,l,i),c.stopSequence(e),s},r.deleteTraces=function t(e,n){e=o.getGraphDiv(e);var i,a,s=[],l=r.addTraces,u=t,h=[e,s,n],f=[e,n];if("undefined"==typeof n)throw new Error("indices must be an integer or array of integers.");for(Array.isArray(n)||(n=[n]),z(e,n,"indices"),(n=I(n,e.data.length-1)).sort(o.sorterDes),i=0;i<n.length;i+=1)a=e.data.splice(n[i],1)[0],s.push(a);var p=r.redraw(e);return c.add(e,l,h,u,f),p},r.extendTraces=function t(e,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<0){var a=new t.constructor(0),s=R(t,e);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(l)),i.set(t),i.set(e.subarray(0,l),t.length)}else{var c=r-e.length,u=t.length-c;n.set(t.subarray(u)),n.set(e,c),i.set(t.subarray(0,u))}else n=t.concat(e),i=r>=0&&r<n.length?n.splice(0,n.length-r):[];return[n,i]}var l=D(e=o.getGraphDiv(e),n,i,a,s),u=r.redraw(e),h=[e,l.update,i,l.maxPoints];return c.add(e,r.prependTraces,h,t,arguments),u},r.moveTraces=function t(e,n,i){var a,s=[],l=[],u=t,h=t,f=[e=o.getGraphDiv(e),i,n],p=[e,n,i];if(O(e,n,i),n=Array.isArray(n)?n:[n],"undefined"==typeof i)for(i=[],a=0;a<n.length;a++)i.push(-n.length+a);for(i=Array.isArray(i)?i:[i],n=I(n,e.data.length-1),i=I(i,e.data.length-1),a=0;a<e.data.length;a++)-1===n.indexOf(a)&&s.push(e.data[a]);for(a=0;a<n.length;a++)l.push({newIndex:i[a],trace:e.data[n[a]]});for(l.sort((function(t,e){return t.newIndex-e.newIndex})),a=0;a<l.length;a+=1)s.splice(l[a].newIndex,0,l[a].trace);e.data=s;var d=r.redraw(e);return c.add(e,u,f,h,p),d},r.prependTraces=function t(e,n,i,a){function s(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=R(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var c=r-e.length;n.set(e),n.set(t.subarray(0,c),e.length),i.set(t.subarray(c))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]}var l=D(e=o.getGraphDiv(e),n,i,a,s),u=r.redraw(e),h=[e,l.update,i,l.maxPoints];return c.add(e,r.extendTraces,h,t,arguments),u},r.newPlot=function(t,e,n,i){return t=o.getGraphDiv(t),f.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),f.purge(t),r.plot(t,e,n,i)},r.plot=function(t,e,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(e)){var c=e;e=c.data,i=c.layout,a=c.config,s=c.frames}if(!1===l.triggerHandler(t,"plotly_beforeplot",[e,i,a]))return Promise.reject();e||i||o.isPlotDiv(t)||o.warn("Calling Plotly.plot as if redrawing but this container doesn't yet have a plot.",t),P(t,a),i||(i={}),n.select(t).classed("js-plotly-plot",!0),g.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var h=0===(t.data||[]).length&&Array.isArray(e);Array.isArray(e)&&(T.cleanData(e),h?t.data=e:t.data.push.apply(t.data,e),t.empty=!1),t.layout&&!h||(t.layout=T.cleanLayout(i)),f.supplyDefaults(t);var m=t._fullLayout,y=m._has("cartesian");if(!m._has("polar")&&e&&e[0]&&e[0].r)return o.log("Legacy polar charts are deprecated!"),function(t,e,r){var i=n.select(t).selectAll(".plot-container").data([0]);i.enter().insert("div",":first-child").classed("plot-container plotly",!0);var a=i.selectAll(".svg-container").data([0]);a.enter().append("div").classed("svg-container",!0).style("position","relative"),a.html(""),e&&(t.data=e);r&&(t.layout=r);p.manager.fillLayout(t),a.style({width:t._fullLayout.width+"px",height:t._fullLayout.height+"px"}),t.framework=p.manager.framework(t),t.framework({data:t.data,layout:t.layout},a.node()),t.framework.setUndoPoint();var s=t.framework.svg(),l=1,c=t._fullLayout.title?t._fullLayout.title.text:"";""!==c&&c||(l=0);var u=function(){this.call(x.convertToTspans,t)},h=s.select(".title-group text").call(u);if(t._context.edits.titleText){var d=o._(t,"Click to enter Plot title");c&&c!==d||(l=.2,h.attr({"data-unformatted":d}).text(d).style({opacity:l}).on("mouseover.opacity",(function(){n.select(this).transition().duration(100).style("opacity",1)})).on("mouseout.opacity",(function(){n.select(this).transition().duration(1e3).style("opacity",0)})));var g=function(){this.call(x.makeEditable,{gd:t}).on("edit",(function(e){t.framework({layout:{title:{text:e}}}),this.text(e).call(u),this.call(g)})).on("cancel",(function(){var t=this.attr("data-unformatted");this.text(t).call(u)}))};h.call(g)}return t._context.setBackground(t,t._fullLayout.paper_bgcolor),f.addLinks(t),Promise.resolve()}(t,e,i);m._replotting=!0,(h||m._shouldCreateBgLayer)&&(st(t),m._shouldCreateBgLayer&&delete m._shouldCreateBgLayer),t.framework!==st&&(t.framework=st,st(t)),g.initGradients(t),h&&d.saveShowSpikeInitial(t);var b=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;b&&f.doCalcdata(t);for(var _=0;_<t.calcdata.length;_++)t.calcdata[_][0].trace=t._fullData[_];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||f.resize(t)},window.addEventListener("resize",t._responsiveChartHandler)):o.clearResponsive(t);var w=o.extendFlat({},m._size),M=0;function A(){if(f.clearAutoMarginIds(t),k.drawMarginPushers(t),d.allowAutoMargin(t),m._has("pie"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];"pie"===n.type&&n.automargin&&f.allowAutoMargin(t,"pie."+n.uid+".automargin")}return f.doAutoMargin(t),f.previousPromises(t)}function S(){t._transitioning||(k.doAutoRangeAndConstraints(t),h&&d.saveRangeInitial(t),u.getComponentMethod("rangeslider","calcAutorange")(t))}var C=[f.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var r=m._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);if(!m._glcanvas&&m._has("gl")&&(m._glcanvas=m._glcontainer.selectAll(".gl-canvas").data([{key:"contextLayer",context:!0,pick:!1},{key:"focusLayer",context:!1,pick:!1},{key:"pickLayer",context:!1,pick:!0}],(function(t){return t.key})),m._glcanvas.enter().append("canvas").attr("class",(function(t){return"gl-canvas gl-canvas-"+t.key.replace("Layer","")})).style({position:"absolute",top:0,left:0,overflow:"visible","pointer-events":"none"})),m._glcanvas){m._glcanvas.attr("width",m.width).attr("height",m.height);var i=m._glcanvas.data()[0].regl;if(i&&(Math.floor(m.width)!==i._gl.drawingBufferWidth||Math.floor(m.height)!==i._gl.drawingBufferHeight)){var a="WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.";if(!M)return o.log(a+" Clearing graph and plotting again."),f.cleanPlot([],{},t._fullData,m),f.supplyDefaults(t),m=t._fullLayout,f.doCalcdata(t),M++,e();o.error(a)}}return"h"===m.modebar.orientation?m._modebardiv.style("height",null).style("width","100%"):m._modebardiv.style("width",null).style("height",m.height+"px"),f.previousPromises(t)},A,function(){if(f.didMarginChange(w,m._size))return o.syncOrAsync([A,k.layoutStyles],t)}];y&&C.push((function(){if(b)return o.syncOrAsync([u.getComponentMethod("shapes","calcAutorange"),u.getComponentMethod("annotations","calcAutorange"),S],t);S()})),C.push(k.layoutStyles),y&&C.push((function(){return d.draw(t,h?"":"redraw")})),C.push(k.drawData,k.finalDraw,v,f.addLinks,f.rehover,f.redrag,f.doAutoMargin,f.previousPromises);var L=o.syncOrAsync(C,t);return L&&L.then||(L=Promise.resolve()),L.then((function(){return E(t),t}))},r.purge=function(t){var e=(t=o.getGraphDiv(t))._fullLayout||{},r=t._fullData||[];return f.cleanPlot([],{},r,e),f.purge(t),l.purge(t),e._container&&e._container.remove(),delete t._context,t},r.react=function(t,e,n,i){var a,l;t=o.getGraphDiv(t),T.clearPromiseQueue(t);var c=t._fullData,p=t._fullLayout;if(o.isPlotDiv(t)&&c&&p){if(o.isPlainObject(e)){var d=e;e=d.data,n=d.layout,i=d.config,a=d.frames}var g=!1;if(i){var m=o.extendDeep({},t._context);t._context=void 0,P(t,i),g=function t(e,r){var n;for(n in e)if("_"!==n.charAt(0)){var i=e[n],a=r[n];if(i!==a)if(o.isPlainObject(i)&&o.isPlainObject(a)){if(t(i,a))return!0}else{if(!Array.isArray(i)||!Array.isArray(a))return!0;if(i.length!==a.length)return!0;for(var s=0;s<i.length;s++)if(i[s]!==a[s]){if(!o.isPlainObject(i[s])||!o.isPlainObject(a[s]))return!0;if(t(i[s],a[s]))return!0}}}}(m,t._context)}t.data=e||[],T.cleanData(t.data),t.layout=n||{},T.cleanLayout(t.layout),function(t,e,r,n){var i,a,l,c,u,h,f,p,d=n._preGUI,g=[],m={};for(i in d){if(u=et(i,$)){if(a=u.attr||u.head+".uirevision",(c=(l=s(n,a).get())&&rt(a,e))&&c===l&&(null===(h=d[i])&&(h=void 0),at(p=(f=s(e,i)).get(),h))){void 0===p&&"autorange"===i.substr(i.length-9)&&g.push(i.substr(0,i.length-10)),f.set(B(s(n,i).get()));continue}}else o.warn("unrecognized GUI edit: "+i);delete d[i],"range["===i.substr(i.length-8,6)&&(m[i.substr(0,i.length-9)]=1)}for(var v=0;v<g.length;v++){var y=g[v];if(m[y]){var x=s(e,y).get();x&&delete x.autorange}}var b=n._tracePreGUI;for(var _ in b){var w,T=b[_],k=null;for(i in T){if(!k){var M=nt(_,r);if(M<0){delete b[_];break}var A=it(_,t,(w=r[M]._fullInput).index);if(A<0){delete b[_];break}k=t[A]}if(u=et(i,tt)){if(u.attr?c=(l=s(n,u.attr).get())&&rt(u.attr,e):(l=w.uirevision,void 0===(c=k.uirevision)&&(c=e.uirevision)),c&&c===l&&(null===(h=T[i])&&(h=void 0),at(p=(f=s(k,i)).get(),h))){f.set(B(s(w,i).get()));continue}}else o.warn("unrecognized GUI edit: "+i+" in trace uid "+_);delete T[i]}}}(t.data,t.layout,c,p);for(var v=Object.getOwnPropertyNames(p),y=0;y<v.length;y++){var x=v[y],b=x.substring(0,5);if("xaxis"===b||"yaxis"===b){var _=p[x]._emptyCategories;_&&_()}}f.supplyDefaults(t,{skipUpdateCalc:!0});var w=t._fullData,A=t._fullLayout,S=void 0===A.datarevision,C=A.transition,L=function(t,e,r,n,i){var a=M.layoutFlags();function o(t){return h.getLayoutValObject(r,t)}a.arrays={},a.rangesAltered={},a.nChanges=0,a.nChangesAnim=0,ot(e,r,[],{getValObject:o,flags:a,immutable:n,transition:i,gd:t}),(a.plot||a.calc)&&(a.layoutReplot=!0);i&&a.nChanges&&a.nChangesAnim&&(a.anim=a.nChanges===a.nChangesAnim?"all":"some");return a}(t,p,A,S,C),I=L.newDataRevision,z=function(t,e,r,n,i,a){var o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,c=M.traceFlags();c.arrays={},c.nChanges=0,c.nChangesAnim=0;var u={getValObject:function(t){var e=h.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:c,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,f.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,ot(e[s]._fullInput,l,[],u)}(c.calc||c.plot)&&(c.fullReplot=!0);i&&c.nChanges&&c.nChangesAnim&&(c.anim=c.nChanges===c.nChangesAnim&&o?"all":"some");return c}(t,c,w,S,C,I);J(t)&&(L.layoutReplot=!0),z.calc||L.calc?t.calcdata=void 0:f.supplyDefaultsUpdateCalc(t.calcdata,w);var O=[];if(a&&(t._transitionData={},f.createTransitionData(t),O.push((function(){return r.addFrames(t,a)}))),A.transition&&!g&&(z.anim||L.anim))L.ticks&&O.push(k.doTicksRelayout),f.doCalcdata(t),k.doAutoRangeAndConstraints(t),O.push((function(){return f.transitionFromReact(t,z,L,p)}));else if(z.fullReplot||L.layoutReplot||g)t._fullLayout._skipDefaults=!0,O.push(r.plot);else{for(var D in L.arrays){var R=L.arrays[D];if(R.length){var F=u.getComponentMethod(D,"drawOne");if(F!==o.noop)for(var N=0;N<R.length;N++)F(t,R[N]);else{var j=u.getComponentMethod(D,"draw");if(j===o.noop)throw new Error("cannot draw components: "+D);j(t)}}}O.push(f.previousPromises),z.style&&O.push(k.doTraceStyle),(z.colorbars||L.colorbars)&&O.push(k.doColorBars),L.legend&&O.push(k.doLegend),L.layoutstyle&&O.push(k.layoutStyles),L.axrange&&G(O),L.ticks&&O.push(k.doTicksRelayout),L.modebar&&O.push(k.doModeBar),L.camera&&O.push(k.doCamera),O.push(E)}O.push(f.rehover,f.redrag),(l=o.syncOrAsync(O,t))&&l.then||(l=Promise.resolve(t))}else l=r.newPlot(t,e,n,i);return l.then((function(){return t.emit("plotly_react",{data:e,layout:n}),t}))},r.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error("This element is not a Plotly plot: "+t);return T.cleanData(t.data),T.cleanLayout(t.layout),t.calcdata=void 0,r.plot(t).then((function(){return t.emit("plotly_redraw"),t}))},r.relayout=q,r.restyle=F,r.setPlotConfig=function(t){return o.extendFlat(_,t)},r.update=K,r._guiRelayout=Q(q),r._guiRestyle=Q(F),r._guiUpdate=Q(K),r._storeDirectGUIEdit=function(t,e,r){for(var n in r){j(n,s(t,n).get(),r[n],e)}}},{"../components/color":615,"../components/drawing":637,"../constants/xmlns_namespaces":726,"../lib":750,"../lib/events":739,"../lib/queue":765,"../lib/svg_text_utils":774,"../plots/cartesian/axes":799,"../plots/cartesian/constants":805,"../plots/cartesian/graph_interact":808,"../plots/cartesian/select":818,"../plots/plots":862,"../plots/polar/legacy":870,"../registry":882,"./edit_types":781,"./helpers":782,"./manage_arrays":784,"./plot_config":786,"./plot_schema":787,"./subroutines":789,d3:169,"fast-isnumeric":241,"has-hover":414}],786:[function(t,e,r){"use strict";var n={staticPlot:{valType:"boolean",dflt:!1},plotlyServerURL:{valType:"string",dflt:""},editable:{valType:"boolean",dflt:!1},edits:{annotationPosition:{valType:"boolean",dflt:!1},annotationTail:{valType:"boolean",dflt:!1},annotationText:{valType:"boolean",dflt:!1},axisTitleText:{valType:"boolean",dflt:!1},colorbarPosition:{valType:"boolean",dflt:!1},colorbarTitleText:{valType:"boolean",dflt:!1},legendPosition:{valType:"boolean",dflt:!1},legendText:{valType:"boolean",dflt:!1},shapePosition:{valType:"boolean",dflt:!1},titleText:{valType:"boolean",dflt:!1}},autosizable:{valType:"boolean",dflt:!1},responsive:{valType:"boolean",dflt:!1},fillFrame:{valType:"boolean",dflt:!1},frameMargins:{valType:"number",dflt:0,min:0,max:.5},scrollZoom:{valType:"flaglist",flags:["cartesian","gl3d","geo","mapbox"],extras:[!0,!1],dflt:"gl3d+geo+mapbox"},doubleClick:{valType:"enumerated",values:[!1,"reset","autosize","reset+autosize"],dflt:"reset+autosize"},doubleClickDelay:{valType:"number",dflt:300,min:0},showAxisDragHandles:{valType:"boolean",dflt:!0},showAxisRangeEntryBoxes:{valType:"boolean",dflt:!0},showTips:{valType:"boolean",dflt:!0},showLink:{valType:"boolean",dflt:!1},linkText:{valType:"string",dflt:"Edit chart",noBlank:!0},sendData:{valType:"boolean",dflt:!0},showSources:{valType:"any",dflt:!1},displayModeBar:{valType:"enumerated",values:["hover",!0,!1],dflt:"hover"},showSendToCloud:{valType:"boolean",dflt:!1},showEditInChartStudio:{valType:"boolean",dflt:!1},modeBarButtonsToRemove:{valType:"any",dflt:[]},modeBarButtonsToAdd:{valType:"any",dflt:[]},modeBarButtons:{valType:"any",dflt:!1},toImageButtonOptions:{valType:"any",dflt:{}},displaylogo:{valType:"boolean",dflt:!0},watermark:{valType:"boolean",dflt:!1},plotGlPixelRatio:{valType:"number",dflt:2,min:1,max:4},setBackground:{valType:"any",dflt:"transparent"},topojsonURL:{valType:"string",noBlank:!0,dflt:"https://cdn.plot.ly/"},mapboxAccessToken:{valType:"string",dflt:null},logging:{valType:"integer",min:0,max:2,dflt:1},notifyOnLogging:{valType:"integer",min:0,max:2,dflt:0},queueLength:{valType:"integer",min:0,dflt:0},globalTransforms:{valType:"any",dflt:[]},locale:{valType:"string",dflt:"en-US"},locales:{valType:"any",dflt:{}}},i={};!function t(e,r){for(var n in e){var i=e[n];i.valType?r[n]=i.dflt:(r[n]||(r[n]={}),t(i,r[n]))}}(n,i),e.exports={configAttributes:n,dfltConfig:i}},{}],787:[function(t,e,r){"use strict";var n=t("../registry"),i=t("../lib"),a=t("../plots/attributes"),o=t("../plots/layout_attributes"),s=t("../plots/frame_attributes"),l=t("../plots/animation_attributes"),c=t("./plot_config").configAttributes,u=t("../plots/polar/legacy/area_attributes"),h=t("../plots/polar/legacy/axis_attributes"),f=t("./edit_types"),p=i.extendFlat,d=i.extendDeepAll,g=i.isPlainObject,m=i.isArrayOrTypedArray,v=i.nestedProperty,y=i.valObjectMeta,x=["_isSubplotObj","_isLinkedToArray","_arrayAttrRegexps","_deprecated"];function b(t,e,r){if(!t)return!1;if(t._isLinkedToArray)if(_(e[r]))r++;else if(r<e.length)return!1;for(;r<e.length;r++){var n=t[e[r]];if(!g(n))break;if(t=n,r===e.length-1)break;if(t._isLinkedToArray){if(!_(e[++r]))return!1}else if("info_array"===t.valType){var i=e[++r];if(!_(i))return!1;var a=t.items;if(Array.isArray(a)){if(i>=a.length)return!1;if(2===t.dimensions){if(r++,e.length===r)return t;var o=e[r];if(!_(o))return!1;t=a[i][o]}else t=a[i]}else t=a}}return t}function _(t){return t===Math.round(t)&&t>=0}function w(){var t,e,r={};for(t in d(r,o),n.subplotsRegistry){if((e=n.subplotsRegistry[t]).layoutAttributes)if(Array.isArray(e.attr))for(var i=0;i<e.attr.length;i++)M(r,e,e.attr[i]);else M(r,e,"subplot"===e.attr?e.name:e.attr)}for(t in r=function(t){return p(t,{radialaxis:h.radialaxis,angularaxis:h.angularaxis}),p(t,h.layout),t}(r),n.componentsRegistry){var a=(e=n.componentsRegistry[t]).schema;if(a&&(a.subplots||a.layout)){var s=a.subplots;if(s&&s.xaxis&&!s.yaxis)for(var l in s.xaxis)delete r.yaxis[l]}else"colorscale"===e.name?d(r,e.layoutAttributes):e.layoutAttributes&&A(r,e.layoutAttributes,e.name)}return{layoutAttributes:k(r)}}function T(){var t={frames:d({},s)};return k(t),t.frames}function k(t){return function(t){r.crawl(t,(function(t,e,n){r.isValObject(t)?"data_array"===t.valType?(t.role="data",n[e+"src"]={valType:"string",editType:"none"}):!0===t.arrayOk&&(n[e+"src"]={valType:"string",editType:"none"}):g(t)&&(t.role="object")}))}(t),function(t){r.crawl(t,(function(t,e,r){if(t){var n=t._isLinkedToArray;n&&(delete t._isLinkedToArray,r[e]={items:{}},r[e].items[n]=t,r[e].role="object")}}))}(t),function(t){!function t(e){for(var r in e)if(g(e[r]))t(e[r]);else if(Array.isArray(e[r]))for(var n=0;n<e[r].length;n++)t(e[r][n]);else e[r]instanceof RegExp&&(e[r]=e[r].toString())}(t)}(t),t}function M(t,e,r){var n=v(t,r),i=d({},e.layoutAttributes);i._isSubplotObj=!0,n.set(i)}function A(t,e,r){var n=v(t,r);n.set(d(n.get()||{},e))}r.IS_SUBPLOT_OBJ="_isSubplotObj",r.IS_LINKED_TO_ARRAY="_isLinkedToArray",r.DEPRECATED="_deprecated",r.UNDERSCORE_ATTRS=x,r.get=function(){var t={};n.allTypes.concat("area").forEach((function(e){t[e]=function(t){var e,i;"area"===t?(e={attributes:u},i={}):(e=n.modules[t]._module,i=e.basePlotModule);var o={type:null},s=d({},a),l=d({},e.attributes);r.crawl(l,(function(t,e,r,n,i){v(s,i).set(void 0),void 0===t&&v(l,i).set(void 0)})),d(o,s),n.traceIs(t,"noOpacity")&&delete o.opacity;n.traceIs(t,"showLegend")||(delete o.showlegend,delete o.legendgroup);n.traceIs(t,"noHover")&&(delete o.hoverinfo,delete o.hoverlabel);e.selectPoints||delete o.selectedpoints;d(o,l),i.attributes&&d(o,i.attributes);o.type=t;var c={meta:e.meta||{},categories:e.categories||{},animatable:Boolean(e.animatable),type:t,attributes:k(o)};if(e.layoutAttributes){var h={};d(h,e.layoutAttributes),c.layoutAttributes=k(h)}e.animatable||r.crawl(c,(function(t){r.isValObject(t)&&"anim"in t&&delete t.anim}));return c}(e)}));var e={};return Object.keys(n.transformsRegistry).forEach((function(t){e[t]=function(t){var e=n.transformsRegistry[t],r=d({},e.attributes);return Object.keys(n.componentsRegistry).forEach((function(e){var i=n.componentsRegistry[e];i.schema&&i.schema.transforms&&i.schema.transforms[t]&&Object.keys(i.schema.transforms[t]).forEach((function(e){A(r,i.schema.transforms[t][e],e)}))})),{attributes:k(r)}}(t)})),{defs:{valObjects:y,metaKeys:x.concat(["description","role","editType","impliedEdits"]),editType:{traces:f.traces,layout:f.layout},impliedEdits:{}},traces:t,layout:w(),transforms:e,frames:T(),animation:k(l),config:k(c)}},r.crawl=function(t,e,n,i){var a=n||0;i=i||"",Object.keys(t).forEach((function(n){var o=t[n];if(-1===x.indexOf(n)){var s=(i?i+".":"")+n;e(o,n,t,a,s),r.isValObject(o)||g(o)&&"impliedEdits"!==n&&r.crawl(o,e,a+1,s)}}))},r.isValObject=function(t){return t&&void 0!==t.valType},r.findArrayAttributes=function(t){var e,n,i=[],o=[],s=[];function l(t,r,a,l){o=o.slice(0,l).concat([r]),s=s.slice(0,l).concat([t&&t._isLinkedToArray]),t&&("data_array"===t.valType||!0===t.arrayOk)&&!("colorbar"===o[l-1]&&("ticktext"===r||"tickvals"===r))&&function t(e,r,a){var l=e[o[r]],c=a+o[r];if(r===o.length-1)m(l)&&i.push(n+c);else if(s[r]){if(Array.isArray(l))for(var u=0;u<l.length;u++)g(l[u])&&t(l[u],r+1,c+"["+u+"].")}else g(l)&&t(l,r+1,c+".")}(e,0,"")}e=t,n="",r.crawl(a,l),t._module&&t._module.attributes&&r.crawl(t._module.attributes,l);var c=t.transforms;if(c)for(var u=0;u<c.length;u++){var h=c[u],f=h._module;f&&(n="transforms["+u+"].",e=h,r.crawl(f.attributes,l))}return i},r.getTraceValObject=function(t,e){var r,i,o=e[0],s=1;if("transforms"===o){if(1===e.length)return a.transforms;var l=t.transforms;if(!Array.isArray(l)||!l.length)return!1;var c=e[1];if(!_(c)||c>=l.length)return!1;i=(r=(n.transformsRegistry[l[c].type]||{}).attributes)&&r[e[2]],s=3}else if("area"===t.type)i=u[o];else{var h=t._module;if(h||(h=(n.modules[t.type||a.type.dflt]||{})._module),!h)return!1;if(!(i=(r=h.attributes)&&r[o])){var f=h.basePlotModule;f&&f.attributes&&(i=f.attributes[o])}i||(i=a[o])}return b(i,e,s)},r.getLayoutValObject=function(t,e){return b(function(t,e){var r,i,a,s,l=t._basePlotModules;if(l){var c;for(r=0;r<l.length;r++){if((a=l[r]).attrRegex&&a.attrRegex.test(e)){if(a.layoutAttrOverrides)return a.layoutAttrOverrides;!c&&a.layoutAttributes&&(c=a.layoutAttributes)}var u=a.baseLayoutAttrOverrides;if(u&&e in u)return u[e]}if(c)return c}var f=t._modules;if(f)for(r=0;r<f.length;r++)if((s=f[r].layoutAttributes)&&e in s)return s[e];for(i in n.componentsRegistry){if("colorscale"===(a=n.componentsRegistry[i]).name&&0===e.indexOf("coloraxis"))return a.layoutAttributes[e];if(!a.schema&&e===a.name)return a.layoutAttributes}if(e in o)return o[e];if("radialaxis"===e||"angularaxis"===e)return h[e];return h.layout[e]||!1}(t,e[0]),e,1)}},{"../lib":750,"../plots/animation_attributes":793,"../plots/attributes":795,"../plots/frame_attributes":828,"../plots/layout_attributes":853,"../plots/polar/legacy/area_attributes":868,"../plots/polar/legacy/axis_attributes":869,"../registry":882,"./edit_types":781,"./plot_config":786}],788:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plots/attributes"),a={name:{valType:"string",editType:"none"}};function o(t){return t&&"string"==typeof t}function s(t){var e=t.length-1;return"s"!==t.charAt(e)&&n.warn("bad argument to arrayDefaultKey: "+t),t.substr(0,t.length-1)+"defaults"}a.templateitemname={valType:"string",editType:"calc"},r.templatedArray=function(t,e){return e._isLinkedToArray=t,e.name=a.name,e.templateitemname=a.templateitemname,e},r.traceTemplater=function(t){var e,r,a={};for(e in t)r=t[e],Array.isArray(r)&&r.length&&(a[e]=0);return{newTrace:function(o){var s={type:e=n.coerce(o,{},i,"type"),_template:null};if(e in a){r=t[e];var l=a[e]%r.length;a[e]++,s._template=r[l]}return s}}},r.newContainer=function(t,e,r){var i=t._template,a=i&&(i[e]||r&&i[r]);return n.isPlainObject(a)||(a=null),t[e]={_template:a}},r.arrayTemplater=function(t,e,r){var n=t._template,i=n&&n[s(e)],a=n&&n[e];Array.isArray(a)&&a.length||(a=[]);var l={};return{newItem:function(t){var e={name:t.name,_input:t},n=e.templateitemname=t.templateitemname;if(!o(n))return e._template=i,e;for(var s=0;s<a.length;s++){var c=a[s];if(c.name===n)return l[n]=1,e._template=c,e}return e[r]=t[r]||!1,e._template=!1,e},defaultItems:function(){for(var t=[],e=0;e<a.length;e++){var r=a[e],n=r.name;if(o(n)&&!l[n]){var i={_template:r,name:n,_input:{_templateitemname:n}};i.templateitemname=r.templateitemname,t.push(i),l[n]=1}}return t}}},r.arrayDefaultKey=s,r.arrayEditor=function(t,e,r){var i=(n.nestedProperty(t,e).get()||[]).length,a=r._index,o=a>=i&&(r._input||{})._templateitemname;o&&(a=i);var s,l=e+"["+a+"]";function c(){s={},o&&(s[l]={},s[l].templateitemname=o)}function u(t,e){o?n.nestedProperty(s[l],t).set(e):s[l+"."+t]=e}function h(){var t=s;return c(),t}return c(),{modifyBase:function(t,e){s[t]=e},modifyItem:u,getUpdateObj:h,applyUpdate:function(e,r){e&&u(e,r);var i=h();for(var a in i)n.nestedProperty(t,a).set(i[a])}}}},{"../lib":750,"../plots/attributes":795}],789:[function(t,e,r){"use strict";var n=t("d3"),i=t("../registry"),a=t("../plots/plots"),o=t("../lib"),s=t("../lib/clear_gl_canvases"),l=t("../components/color"),c=t("../components/drawing"),u=t("../components/titles"),h=t("../components/modebar"),f=t("../plots/cartesian/axes"),p=t("../constants/alignment"),d=t("../plots/cartesian/constraints"),g=d.enforce,m=d.clean,v=t("../plots/cartesian/autorange").doAutoRange;function y(t,e,r){for(var n=0;n<r.length;n++){var i=r[n][0],a=r[n][1];if(!(i[0]>=t[1]||i[1]<=t[0])&&(a[0]<e[1]&&a[1]>e[0]))return!0}return!1}function x(t){var e,i,s,u,d,g,m=t._fullLayout,v=m._size,x=v.p,_=f.list(t,"",!0);if(m._paperdiv.style({width:t._context.responsive&&m.autosize&&!t._context._hasZeroWidth&&!t.layout.width?"100%":m.width+"px",height:t._context.responsive&&m.autosize&&!t._context._hasZeroHeight&&!t.layout.height?"100%":m.height+"px"}).selectAll(".main-svg").call(c.setSize,m.width,m.height),t._context.setBackground(t,m.paper_bgcolor),r.drawMainTitle(t),h.manage(t),!m._has("cartesian"))return a.previousPromises(t);function T(t,e,r){var n=t._lw/2;return"x"===t._id.charAt(0)?e?"top"===r?e._offset-x-n:e._offset+e._length+x+n:v.t+v.h*(1-(t.position||0))+n%1:e?"right"===r?e._offset+e._length+x+n:e._offset-x-n:v.l+v.w*(t.position||0)+n%1}for(e=0;e<_.length;e++){var k=(u=_[e])._anchorAxis;u._linepositions={},u._lw=c.crispRound(t,u.linewidth,1),u._mainLinePosition=T(u,k,u.side),u._mainMirrorPosition=u.mirror&&k?T(u,k,p.OPPOSITE_SIDE[u.side]):null}var M=[],A=[],S=[],E=1===l.opacity(m.paper_bgcolor)&&1===l.opacity(m.plot_bgcolor)&&m.paper_bgcolor===m.plot_bgcolor;for(i in m._plots)if((s=m._plots[i]).mainplot)s.bg&&s.bg.remove(),s.bg=void 0;else{var C=s.xaxis.domain,L=s.yaxis.domain,P=s.plotgroup;if(y(C,L,S)){var I=P.node(),z=s.bg=o.ensureSingle(P,"rect","bg");I.insertBefore(z.node(),I.childNodes[0]),A.push(i)}else P.select("rect.bg").remove(),S.push([C,L]),E||(M.push(i),A.push(i))}var O,D,R,F,B,N,j,U,V,q,H,G,Y,W=m._bgLayer.selectAll(".bg").data(M);for(W.enter().append("rect").classed("bg",!0),W.exit().remove(),W.each((function(t){m._plots[t].bg=n.select(this)})),e=0;e<A.length;e++)s=m._plots[A[e]],d=s.xaxis,g=s.yaxis,s.bg&&s.bg.call(c.setRect,d._offset-x,g._offset-x,d._length+2*x,g._length+2*x).call(l.fill,m.plot_bgcolor).style("stroke-width",0);if(!m._hasOnlyLargeSploms)for(i in m._plots){s=m._plots[i],d=s.xaxis,g=s.yaxis;var Z,X,J=s.clipId="clip"+m._uid+i+"plot",K=o.ensureSingleById(m._clips,"clipPath",J,(function(t){t.classed("plotclip",!0).append("rect")}));s.clipRect=K.select("rect").attr({width:d._length,height:g._length}),c.setTranslate(s.plot,d._offset,g._offset),s._hasClipOnAxisFalse?(Z=null,X=J):(Z=J,X=null),c.setClipUrl(s.plot,Z,t),s.layerClipId=X}function Q(t){return"M"+O+","+t+"H"+D}function $(t){return"M"+d._offset+","+t+"h"+d._length}function tt(t){return"M"+t+","+U+"V"+j}function et(t){return"M"+t+","+g._offset+"v"+g._length}function rt(t,e,r){if(!t.showline||i!==t._mainSubplot)return"";if(!t._anchorAxis)return r(t._mainLinePosition);var n=e(t._mainLinePosition);return t.mirror&&(n+=e(t._mainMirrorPosition)),n}for(i in m._plots){s=m._plots[i],d=s.xaxis,g=s.yaxis;var nt="M0,0";b(d,i)&&(B=w(d,"left",g,_),O=d._offset-(B?x+B:0),N=w(d,"right",g,_),D=d._offset+d._length+(N?x+N:0),R=T(d,g,"bottom"),F=T(d,g,"top"),!(Y=!d._anchorAxis||i!==d._mainSubplot)||"allticks"!==d.mirror&&"all"!==d.mirror||(d._linepositions[i]=[R,F]),nt=rt(d,Q,$),Y&&d.showline&&("all"===d.mirror||"allticks"===d.mirror)&&(nt+=Q(R)+Q(F)),s.xlines.style("stroke-width",d._lw+"px").call(l.stroke,d.showline?d.linecolor:"rgba(0,0,0,0)")),s.xlines.attr("d",nt);var it="M0,0";b(g,i)&&(H=w(g,"bottom",d,_),j=g._offset+g._length+(H?x:0),G=w(g,"top",d,_),U=g._offset-(G?x:0),V=T(g,d,"left"),q=T(g,d,"right"),!(Y=!g._anchorAxis||i!==g._mainSubplot)||"allticks"!==g.mirror&&"all"!==g.mirror||(g._linepositions[i]=[V,q]),it=rt(g,tt,et),Y&&g.showline&&("all"===g.mirror||"allticks"===g.mirror)&&(it+=tt(V)+tt(q)),s.ylines.style("stroke-width",g._lw+"px").call(l.stroke,g.showline?g.linecolor:"rgba(0,0,0,0)")),s.ylines.attr("d",it)}return f.makeClipPaths(t),a.previousPromises(t)}function b(t,e){return(t.ticks||t.showline)&&(e===t._mainSubplot||"all"===t.mirror||"allticks"===t.mirror)}function _(t,e,r){if(!r.showline||!r._lw)return!1;if("all"===r.mirror||"allticks"===r.mirror)return!0;var n=r._anchorAxis;if(!n)return!1;var i=p.FROM_BL[e];return r.side===e?n.domain[i]===t.domain[i]:r.mirror&&n.domain[1-i]===t.domain[1-i]}function w(t,e,r,n){if(_(t,e,r))return r._lw;for(var i=0;i<n.length;i++){var a=n[i];if(a._mainAxis===r._mainAxis&&_(t,e,a))return a._lw}return 0}function T(t,e){var r=t.title,n=t._size,i=0;switch("start"===e?i=r.pad.l:"end"===e&&(i=-r.pad.r),r.xref){case"paper":return n.l+n.w*r.x+i;case"container":default:return t.width*r.x+i}}function k(t,e){var r=t.title,n=t._size,i=0;if("0em"!==e&&e?e===p.CAP_SHIFT+"em"&&(i=r.pad.t):i=-r.pad.b,"auto"===r.y)return n.t/2;switch(r.yref){case"paper":return n.t+n.h-n.h*r.y+i;case"container":default:return t.height-t.height*r.y+i}}r.layoutStyles=function(t){return o.syncOrAsync([a.doAutoMargin,x],t)},r.drawMainTitle=function(t){var e=t._fullLayout,r=function(t){var e=t.title,r="middle";o.isRightAnchor(e)?r="end":o.isLeftAnchor(e)&&(r="start");return r}(e),n=function(t){var e=t.title,r="0em";o.isTopAnchor(e)?r=p.CAP_SHIFT+"em":o.isMiddleAnchor(e)&&(r=p.MID_SHIFT+"em");return r}(e);u.draw(t,"gtitle",{propContainer:e,propName:"title.text",placeholder:e._dfltTitle.plot,attributes:{x:T(e,r),y:k(e,n),"text-anchor":r,dy:n}})},r.doTraceStyle=function(t){var e,n=t.calcdata,o=[];for(e=0;e<n.length;e++){var l=n[e],c=l[0]||{},u=c.trace||{},h=u._module||{},f=h.arraysToCalcdata;f&&f(l,u);var p=h.editStyle;p&&o.push({fn:p,cd0:c})}if(o.length){for(e=0;e<o.length;e++){var d=o[e];d.fn(t,d.cd0)}s(t),r.redrawReglTraces(t)}return a.style(t),i.getComponentMethod("legend","draw")(t),a.previousPromises(t)},r.doColorBars=function(t){return i.getComponentMethod("colorbar","draw")(t),a.previousPromises(t)},r.layoutReplot=function(t){var e=t.layout;return t.layout=void 0,i.call("plot",t,"",e)},r.doLegend=function(t){return i.getComponentMethod("legend","draw")(t),a.previousPromises(t)},r.doTicksRelayout=function(t){return f.draw(t,"redraw"),t._fullLayout._hasOnlyLargeSploms&&(i.subplotsRegistry.splom.updateGrid(t),s(t),r.redrawReglTraces(t)),r.drawMainTitle(t),a.previousPromises(t)},r.doModeBar=function(t){var e=t._fullLayout;h.manage(t);for(var r=0;r<e._basePlotModules.length;r++){var n=e._basePlotModules[r].updateFx;n&&n(t)}return a.previousPromises(t)},r.doCamera=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){var i=e[r[n]];i._scene.setViewport(i)}},r.drawData=function(t){var e=t._fullLayout;s(t);for(var n=e._basePlotModules,o=0;o<n.length;o++)n[o].plot(t);return r.redrawReglTraces(t),a.style(t),i.getComponentMethod("shapes","draw")(t),i.getComponentMethod("annotations","draw")(t),i.getComponentMethod("images","draw")(t),e._replotting=!1,a.previousPromises(t)},r.redrawReglTraces=function(t){var e=t._fullLayout;if(e._has("regl")){var r,n,i=t._fullData,a=[],s=[];for(e._hasOnlyLargeSploms&&e._splomGrid.draw(),r=0;r<i.length;r++){var l=i[r];!0===l.visible&&0!==l._length&&("splom"===l.type?e._splomScenes[l.uid].draw():"scattergl"===l.type?o.pushUnique(a,l.xaxis+l.yaxis):"scatterpolargl"===l.type&&o.pushUnique(s,l.subplot))}for(r=0;r<a.length;r++)(n=e._plots[a[r]])._scene&&n._scene.draw();for(r=0;r<s.length;r++)(n=e[s[r]]._subplot)._scene&&n._scene.draw()}},r.doAutoRangeAndConstraints=function(t){for(var e,r,n=t._fullLayout,i=f.list(t,"",!0),a=n._axisMatchGroups||[],s={},l=0;l<i.length;l++)e=i[l],m(t,e),v(t,e),s[e._id]=1;g(t);t:for(var c=0;c<a.length;c++){var u,h=a[c],p=null;for(u in h)if(s[(e=f.getFromId(t,u))._id]){if(!1===e.autorange)continue t;r=o.simpleMap(e.range,e.r2l),p?p[0]<p[1]?(p[0]=Math.min(p[0],r[0]),p[1]=Math.max(p[1],r[1])):(p[0]=Math.max(p[0],r[0]),p[1]=Math.min(p[1],r[1])):p=r}for(u in h)(e=f.getFromId(t,u)).range=o.simpleMap(p,e.l2r),e._input.range=e.range.slice(),e.setScale()}},r.finalDraw=function(t){i.getComponentMethod("rangeslider","draw")(t),i.getComponentMethod("rangeselector","draw")(t)},r.drawMarginPushers=function(t){i.getComponentMethod("legend","draw")(t),i.getComponentMethod("rangeselector","draw")(t),i.getComponentMethod("sliders","draw")(t),i.getComponentMethod("updatemenus","draw")(t),i.getComponentMethod("colorbar","draw")(t)}},{"../components/color":615,"../components/drawing":637,"../components/modebar":675,"../components/titles":710,"../constants/alignment":717,"../lib":750,"../lib/clear_gl_canvases":734,"../plots/cartesian/autorange":798,"../plots/cartesian/axes":799,"../plots/cartesian/constraints":806,"../plots/plots":862,"../registry":882,d3:169}],790:[function(t,e,r){"use strict";var n=t("../lib"),i=n.isPlainObject,a=t("./plot_schema"),o=t("../plots/plots"),s=t("../plots/attributes"),l=t("./plot_template"),c=t("./plot_config").dfltConfig;function u(t,e){t=n.extendDeep({},t);var r,a,o=Object.keys(t).sort();function s(e,r,n){if(i(r)&&i(e))u(e,r);else if(Array.isArray(r)&&Array.isArray(e)){var o=l.arrayTemplater({_template:t},n);for(a=0;a<r.length;a++){var s=r[a],c=o.newItem(s)._template;c&&u(c,s)}var h=o.defaultItems();for(a=0;a<h.length;a++)r.push(h[a]._template);for(a=0;a<r.length;a++)delete r[a].templateitemname}}for(r=0;r<o.length;r++){var c=o[r],f=t[c];if(c in e?s(f,e[c],c):e[c]=f,h(c)===c)for(var p in e){var d=h(p);p===d||d!==c||p in t||s(f,e[p],c)}}}function h(t){return t.replace(/[0-9]+$/,"")}function f(t,e,r,a,o){var s=o&&r(o);for(var c in t){var u=t[c],p=g(t,c,a),d=g(t,c,o),m=r(d);if(!m){var v=h(c);v!==c&&(m=r(d=g(t,v,o)))}if((!s||s!==m)&&!(!m||m._noTemplating||"data_array"===m.valType||m.arrayOk&&Array.isArray(u)))if(!m.valType&&i(u))f(u,e,r,p,d);else if(m._isLinkedToArray&&Array.isArray(u))for(var y=!1,x=0,b={},_=0;_<u.length;_++){var w=u[_];if(i(w)){var T=w.name;if(T)b[T]||(f(w,e,r,g(u,x,p),g(u,x,d)),x++,b[T]=1);else if(!y){var k=g(t,l.arrayDefaultKey(c),a),M=g(u,x,p);f(w,e,r,M,g(u,x,d));var A=n.nestedProperty(e,M);n.nestedProperty(e,k).set(A.get()),A.set(null),y=!0}}}else{n.nestedProperty(e,p).set(u)}}}function p(t,e){return a.getLayoutValObject(t,n.nestedProperty({},e).parts)}function d(t,e){return a.getTraceValObject(t,n.nestedProperty({},e).parts)}function g(t,e,r){return r?Array.isArray(t)?r+"["+e+"]":r+"."+e:e}function m(t){for(var e=0;e<t.length;e++)if(i(t[e]))return!0}function v(t){var e;switch(t.code){case"data":e="The template has no key data.";break;case"layout":e="The template has no key layout.";break;case"missing":e=t.path?"There are no templates for item "+t.path+" with name "+t.templateitemname:"There are no templates for trace "+t.index+", of type "+t.traceType+".";break;case"unused":e=t.path?"The template item at "+t.path+" was not used in constructing the plot.":t.dataCount?"Some of the templates of type "+t.traceType+" were not used. The template has "+t.templateCount+" traces, the data only has "+t.dataCount+" of this type.":"The template has "+t.templateCount+" traces of type "+t.traceType+" but there are none in the data.";break;case"reused":e="Some of the templates of type "+t.traceType+" were used more than once. The template has "+t.templateCount+" traces, the data has "+t.dataCount+" of this type."}return t.msg=e,t}r.makeTemplate=function(t){t=n.isPlainObject(t)?t:n.getGraphDiv(t),t=n.extendDeep({_context:c},{data:t.data,layout:t.layout}),o.supplyDefaults(t);var e=t.data||[],r=t.layout||{};r._basePlotModules=t._fullLayout._basePlotModules,r._modules=t._fullLayout._modules;var a={data:{},layout:{}};e.forEach((function(t){var e={};f(t,e,d.bind(null,t));var r=n.coerce(t,{},s,"type"),i=a.data[r];i||(i=a.data[r]=[]),i.push(e)})),f(r,a.layout,p.bind(null,r)),delete a.layout.template;var l=r.template;if(i(l)){var h,g,m,v,y,x,b=l.layout;i(b)&&u(b,a.layout);var _=l.data;if(i(_)){for(g in a.data)if(m=_[g],Array.isArray(m)){for(x=(y=a.data[g]).length,v=m.length,h=0;h<x;h++)u(m[h%v],y[h]);for(h=x;h<v;h++)y.push(n.extendDeep({},m[h]))}for(g in _)g in a.data||(a.data[g]=n.extendDeep([],_[g]))}}return a},r.validateTemplate=function(t,e){var r=n.extendDeep({},{_context:c,data:t.data,layout:t.layout}),a=r.layout||{};i(e)||(e=a.template||{});var s=e.layout,l=e.data,u=[];r.layout=a,r.layout.template=e,o.supplyDefaults(r);var f=r._fullLayout,p=r._fullData,d={};if(i(s)?(!function t(e,r){for(var n in e)if("_"!==n.charAt(0)&&i(e[n])){var a,o=h(n),s=[];for(a=0;a<r.length;a++)s.push(g(e,n,r[a])),o!==n&&s.push(g(e,o,r[a]));for(a=0;a<s.length;a++)d[s[a]]=1;t(e[n],s)}}(f,["layout"]),function t(e,r){for(var n in e)if(-1===n.indexOf("defaults")&&i(e[n])){var a=g(e,n,r);d[a]?t(e[n],a):u.push({code:"unused",path:a})}}(s,"layout")):u.push({code:"layout"}),i(l)){for(var y,x={},b=0;b<p.length;b++){var _=p[b];x[y=_.type]=(x[y]||0)+1,_._fullInput._template||u.push({code:"missing",index:_._fullInput.index,traceType:y})}for(y in l){var w=l[y].length,T=x[y]||0;w>T?u.push({code:"unused",traceType:y,templateCount:w,dataCount:T}):T>w&&u.push({code:"reused",traceType:y,templateCount:w,dataCount:T})}}else u.push({code:"data"});if(function t(e,r){for(var n in e)if("_"!==n.charAt(0)){var a=e[n],o=g(e,n,r);i(a)?(Array.isArray(e)&&!1===a._template&&a.templateitemname&&u.push({code:"missing",path:o,templateitemname:a.templateitemname}),t(a,o)):Array.isArray(a)&&m(a)&&t(a,o)}}({data:p,layout:f},""),u.length)return u.map(v)}},{"../lib":750,"../plots/attributes":795,"../plots/plots":862,"./plot_config":786,"./plot_schema":787,"./plot_template":788}],791:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./plot_api"),a=t("../plots/plots"),o=t("../lib"),s=t("../snapshot/helpers"),l=t("../snapshot/tosvg"),c=t("../snapshot/svgtoimg"),u=t("../version").version,h={format:{valType:"enumerated",values:["png","jpeg","webp","svg","full-json"],dflt:"png"},width:{valType:"number",min:1},height:{valType:"number",min:1},scale:{valType:"number",min:0,dflt:1},setBackground:{valType:"any",dflt:!1},imageDataOnly:{valType:"boolean",dflt:!1}};e.exports=function(t,e){var r,f,p,d;function g(t){return!(t in e)||o.validate(e[t],h[t])}if(e=e||{},o.isPlainObject(t)?(r=t.data||[],f=t.layout||{},p=t.config||{},d={}):(t=o.getGraphDiv(t),r=o.extendDeep([],t.data),f=o.extendDeep({},t.layout),p=t._context,d=t._fullLayout||{}),!g("width")&&null!==e.width||!g("height")&&null!==e.height)throw new Error("Height and width should be pixel values.");if(!g("format"))throw new Error("Export format is not "+o.join2(h.format.values,", "," or ")+".");var m={};function v(t,r){return o.coerce(e,m,h,t,r)}var y=v("format"),x=v("width"),b=v("height"),_=v("scale"),w=v("setBackground"),T=v("imageDataOnly"),k=document.createElement("div");k.style.position="absolute",k.style.left="-5000px",document.body.appendChild(k);var M=o.extendFlat({},f);x?M.width=x:null===e.width&&n(d.width)&&(M.width=d.width),b?M.height=b:null===e.height&&n(d.height)&&(M.height=d.height);var A=o.extendFlat({},p,{_exportedPlot:!0,staticPlot:!0,setBackground:w}),S=s.getRedrawFunc(k);function E(){return new Promise((function(t){setTimeout(t,s.getDelay(k._fullLayout))}))}function C(){return new Promise((function(t,e){var r=l(k,y,_),n=k._fullLayout.width,h=k._fullLayout.height;function f(){i.purge(k),document.body.removeChild(k)}if("full-json"===y){var p=a.graphJson(k,!1,"keepdata","object",!0,!0);return p.version=u,p=JSON.stringify(p),f(),t(T?p:s.encodeJSON(p))}if(f(),"svg"===y)return t(T?r:s.encodeSVG(r));var d=document.createElement("canvas");d.id=o.randstr(),c({format:y,width:n,height:h,scale:_,canvas:d,svg:r,promise:!0}).then(t).catch(e)}))}return new Promise((function(t,e){i.plot(k,r,M,A).then(S).then(E).then(C).then((function(e){t(function(t){return T?t.replace(s.IMAGE_URL_PREFIX,""):t}(e))})).catch((function(t){e(t)}))}))}},{"../lib":750,"../plots/plots":862,"../snapshot/helpers":886,"../snapshot/svgtoimg":888,"../snapshot/tosvg":890,"../version":1341,"./plot_api":785,"fast-isnumeric":241}],792:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plots/plots"),a=t("./plot_schema"),o=t("./plot_config").dfltConfig,s=n.isPlainObject,l=Array.isArray,c=n.isArrayOrTypedArray;function u(t,e,r,i,a,o){o=o||[];for(var h=Object.keys(t),f=0;f<h.length;f++){var p=h[f];if("transforms"!==p){var v=o.slice();v.push(p);var y=t[p],x=e[p],b=m(r,p),_=(b||{}).valType,w="info_array"===_,T="colorscale"===_,k=(b||{}).items;if(g(r,p))if(s(y)&&s(x)&&"any"!==_)u(y,x,b,i,a,v);else if(w&&l(y)){y.length>x.length&&i.push(d("unused",a,v.concat(x.length)));var M,A,S,E,C,L=x.length,P=Array.isArray(k);if(P&&(L=Math.min(L,k.length)),2===b.dimensions)for(A=0;A<L;A++)if(l(y[A])){y[A].length>x[A].length&&i.push(d("unused",a,v.concat(A,x[A].length)));var I=x[A].length;for(M=0;M<(P?Math.min(I,k[A].length):I);M++)S=P?k[A][M]:k,E=y[A][M],C=x[A][M],n.validate(E,S)?C!==E&&C!==+E&&i.push(d("dynamic",a,v.concat(A,M),E,C)):i.push(d("value",a,v.concat(A,M),E))}else i.push(d("array",a,v.concat(A),y[A]));else for(A=0;A<L;A++)S=P?k[A]:k,E=y[A],C=x[A],n.validate(E,S)?C!==E&&C!==+E&&i.push(d("dynamic",a,v.concat(A),E,C)):i.push(d("value",a,v.concat(A),E))}else if(b.items&&!w&&l(y)){var z,O,D=k[Object.keys(k)[0]],R=[];for(z=0;z<x.length;z++){var F=x[z]._index||z;if((O=v.slice()).push(F),s(y[F])&&s(x[z])){R.push(F);var B=y[F],N=x[z];s(B)&&!1!==B.visible&&!1===N.visible?i.push(d("invisible",a,O)):u(B,N,D,i,a,O)}}for(z=0;z<y.length;z++)(O=v.slice()).push(z),s(y[z])?-1===R.indexOf(z)&&i.push(d("unused",a,O)):i.push(d("object",a,O,y[z]))}else!s(y)&&s(x)?i.push(d("object",a,v,y)):c(y)||!c(x)||w||T?p in e?n.validate(y,b)?"enumerated"===b.valType&&(b.coerceNumber&&y!==+x||y!==x)&&i.push(d("dynamic",a,v,y,x)):i.push(d("value",a,v,y)):i.push(d("unused",a,v,y)):i.push(d("array",a,v,y));else i.push(d("schema",a,v))}}return i}function h(t,e){for(var r=t.layout.layoutAttributes,i=0;i<e.length;i++){var a=e[i],o=t.traces[a.type],s=o.layoutAttributes;s&&(a.subplot?n.extendFlat(r[o.attributes.subplot.dflt],s):n.extendFlat(r,s))}return r}e.exports=function(t,e){void 0===t&&(t=[]),void 0===e&&(e={});var r,c,f=a.get(),p=[],g={_context:n.extendFlat({},o)};l(t)?(g.data=n.extendDeep([],t),r=t):(g.data=[],r=[],p.push(d("array","data"))),s(e)?(g.layout=n.extendDeep({},e),c=e):(g.layout={},c={},arguments.length>1&&p.push(d("object","layout"))),i.supplyDefaults(g);for(var m=g._fullData,v=r.length,y=0;y<v;y++){var x=r[y],b=["data",y];if(s(x)){var _=m[y],w=_.type,T=f.traces[w].attributes;T.type={valType:"enumerated",values:[w]},!1===_.visible&&!1!==x.visible&&p.push(d("invisible",b)),u(x,_,T,p,b);var k=x.transforms,M=_.transforms;if(k){l(k)||p.push(d("array",b,["transforms"])),b.push("transforms");for(var A=0;A<k.length;A++){var S=["transforms",A],E=k[A].type;if(s(k[A])){var C=f.transforms[E]?f.transforms[E].attributes:{};C.type={valType:"enumerated",values:Object.keys(f.transforms)},u(k[A],M[A],C,p,b,S)}else p.push(d("object",b,S))}}}else p.push(d("object",b))}var L=g._fullLayout,P=h(f,m);return u(c,L,P,p,"layout"),0===p.length?void 0:p};var f={object:function(t,e){return("layout"===t&&""===e?"The layout argument":"data"===t[0]&&""===e?"Trace "+t[1]+" in the data argument":p(t)+"key "+e)+" must be linked to an object container"},array:function(t,e){return("data"===t?"The data argument":p(t)+"key "+e)+" must be linked to an array container"},schema:function(t,e){return p(t)+"key "+e+" is not part of the schema"},unused:function(t,e,r){var n=s(r)?"container":"key";return p(t)+n+" "+e+" did not get coerced"},dynamic:function(t,e,r,n){return[p(t)+"key",e,"(set to '"+r+"')","got reset to","'"+n+"'","during defaults."].join(" ")},invisible:function(t,e){return(e?p(t)+"item "+e:"Trace "+t[1])+" got defaulted to be not visible"},value:function(t,e,r){return[p(t)+"key "+e,"is set to an invalid value ("+r+")"].join(" ")}};function p(t){return l(t)?"In data trace "+t[1]+", ":"In "+t+", "}function d(t,e,r,i,a){var o,s;r=r||"",l(e)?(o=e[0],s=e[1]):(o=e,s=null);var c=function(t){if(!l(t))return String(t);for(var e="",r=0;r<t.length;r++){var n=t[r];"number"==typeof n?e=e.substr(0,e.length-1)+"["+n+"]":e+=n,r<t.length-1&&(e+=".")}return e}(r),u=f[t](e,c,i,a);return n.log(u),{code:t,container:o,trace:s,path:r,astr:c,msg:u}}function g(t,e){var r=y(e),n=r.keyMinusId,i=r.id;return!!(n in t&&t[n]._isSubplotObj&&i)||e in t}function m(t,e){return e in t?t[e]:t[y(e).keyMinusId]}var v=n.counterRegex("([a-z]+)");function y(t){var e=t.match(v);return{keyMinusId:e&&e[1],id:e&&e[2]}}},{"../lib":750,"../plots/plots":862,"./plot_config":786,"./plot_schema":787}],793:[function(t,e,r){"use strict";e.exports={mode:{valType:"enumerated",dflt:"afterall",values:["immediate","next","afterall"]},direction:{valType:"enumerated",values:["forward","reverse"],dflt:"forward"},fromcurrent:{valType:"boolean",dflt:!1},frame:{duration:{valType:"number",min:0,dflt:500},redraw:{valType:"boolean",dflt:!0}},transition:{duration:{valType:"number",min:0,dflt:500,editType:"none"},easing:{valType:"enumerated",dflt:"cubic-in-out",values:["linear","quad","cubic","sin","exp","circle","elastic","back","bounce","linear-in","quad-in","cubic-in","sin-in","exp-in","circle-in","elastic-in","back-in","bounce-in","linear-out","quad-out","cubic-out","sin-out","exp-out","circle-out","elastic-out","back-out","bounce-out","linear-in-out","quad-in-out","cubic-in-out","sin-in-out","exp-in-out","circle-in-out","elastic-in-out","back-in-out","bounce-in-out"],editType:"none"},ordering:{valType:"enumerated",values:["layout first","traces first"],dflt:"layout first",editType:"none"}}}},{}],794:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_template");e.exports=function(t,e,r){var a,o,s=r.name,l=r.inclusionAttr||"visible",c=e[s],u=n.isArrayOrTypedArray(t[s])?t[s]:[],h=e[s]=[],f=i.arrayTemplater(e,s,l);for(a=0;a<u.length;a++){var p=u[a];n.isPlainObject(p)?o=f.newItem(p):(o=f.newItem({}))[l]=!1,o._index=a,!1!==o[l]&&r.handleItemDefaults(p,o,e,r),h.push(o)}var d=f.defaultItems();for(a=0;a<d.length;a++)(o=d[a])._index=h.length,r.handleItemDefaults({},o,e,r,{}),h.push(o);if(n.isArrayOrTypedArray(c)){var g=Math.min(c.length,h.length);for(a=0;a<g;a++)n.relinkPrivateKeys(h[a],c[a])}return h}},{"../lib":750,"../plot_api/plot_template":788}],795:[function(t,e,r){"use strict";var n=t("../components/fx/attributes");e.exports={type:{valType:"enumerated",values:[],dflt:"scatter",editType:"calc+clearAxisTypes",_noTemplating:!0},visible:{valType:"enumerated",values:[!0,!1,"legendonly"],dflt:!0,editType:"calc"},showlegend:{valType:"boolean",dflt:!0,editType:"style"},legendgroup:{valType:"string",dflt:"",editType:"style"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"style"},name:{valType:"string",editType:"style"},uid:{valType:"string",editType:"plot",anim:!0},ids:{valType:"data_array",editType:"calc",anim:!0},customdata:{valType:"data_array",editType:"calc"},meta:{valType:"any",arrayOk:!0,editType:"plot"},selectedpoints:{valType:"any",editType:"calc"},hoverinfo:{valType:"flaglist",flags:["x","y","z","text","name"],extras:["all","none","skip"],arrayOk:!0,dflt:"all",editType:"none"},hoverlabel:n.hoverlabel,stream:{token:{valType:"string",noBlank:!0,strict:!0,editType:"calc"},maxpoints:{valType:"number",min:0,max:1e4,dflt:500,editType:"calc"},editType:"calc"},transforms:{_isLinkedToArray:"transform",editType:"calc"},uirevision:{valType:"any",editType:"none"}}},{"../components/fx/attributes":646}],796:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=i.dateTime2ms,o=i.incrementMonth,s=t("../../constants/numerical").ONEAVGMONTH;e.exports=function(t,e,r,i){if("date"!==e.type)return i;var l=t[r+"periodalignment"];if(!l)return i;var c,u=t[r+"period"];if(n(u)){if((u=+u)<=0)return i}else if("string"==typeof u&&"M"===u.charAt(0)){var h=+u.substring(1);if(!(h>0&&Math.round(h)===h))return i;c=h}for(var f=e.calendar,p="start"===l,d="end"===l,g=t[r+"period0"],m=a(g,f)||0,v=[],y=i.length,x=0;x<y;x++){var b,_,w,T=i[x];if(c){for(b=Math.round((T-m)/(c*s)),w=o(m,c*b,f);w>T;)w=o(w,-c,f);for(;w<=T;)w=o(w,c,f);_=o(w,-c,f)}else{for(w=m+(b=Math.round((T-m)/u))*u;w>T;)w-=u;for(;w<=T;)w+=u;_=w-u}v[x]=p?_:d?w:(_+w)/2}return v}},{"../../constants/numerical":725,"../../lib":750,"fast-isnumeric":241}],797:[function(t,e,r){"use strict";e.exports={xaxis:{valType:"subplotid",dflt:"x",editType:"calc+clearAxisTypes"},yaxis:{valType:"subplotid",dflt:"y",editType:"calc+clearAxisTypes"}}},{}],798:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").FP_SAFE,o=t("../../registry");function s(t,e){var r,n,a=[],o=l(e),s=c(t,e),u=s.min,h=s.max;if(0===u.length||0===h.length)return i.simpleMap(e.range,e.r2l);var f=u[0].val,p=h[0].val;for(r=1;r<u.length&&f===p;r++)f=Math.min(f,u[r].val);for(r=1;r<h.length&&f===p;r++)p=Math.max(p,h[r].val);var d=!1;if(e.range){var g=i.simpleMap(e.range,e.r2l);d=g[1]<g[0]}"reversed"===e.autorange&&(d=!0,e.autorange=!0);var m,v,y,x,b,_,w=e.rangemode,T="tozero"===w,k="nonnegative"===w,M=e._length,A=M/10,S=function(t,r){var n=0;if(e.rangebreaks)for(var i=e.locateBreaks(t,r),a=0;a<i.length;a++){var o=i[a];n+=o.max-o.min}return n},E=0;for(r=0;r<u.length;r++)for(m=u[r],n=0;n<h.length;n++)(_=(v=h[n]).val-m.val-S(m.val,v.val))>0&&((b=M-o(m)-o(v))>A?_/b>E&&(y=m,x=v,E=_/b):_/M>E&&(y={val:m.val,pad:0},x={val:v.val,pad:0},E=_/M));if(f===p){var C=f-1,L=f+1;if(T)if(0===f)a=[0,1];else{var P=(f>0?h:u).reduce((function(t,e){return Math.max(t,o(e))}),0),I=f/(1-Math.min(.5,P/M));a=f>0?[0,I]:[I,0]}else a=k?[Math.max(0,C),Math.max(1,L)]:[C,L]}else T?(y.val>=0&&(y={val:0,pad:0}),x.val<=0&&(x={val:0,pad:0})):k&&(y.val-E*o(y)<0&&(y={val:0,pad:0}),x.val<=0&&(x={val:1,pad:0})),E=(x.val-y.val-S(m.val,v.val))/(M-o(y)-o(x)),a=[y.val-E*o(y),x.val+E*o(x)];return d&&a.reverse(),i.simpleMap(a,e.l2r||Number)}function l(t){var e=t._length/20;return"domain"===t.constrain&&t._inputDomain&&(e*=(t._inputDomain[1]-t._inputDomain[0])/(t.domain[1]-t.domain[0])),function(t){return t.pad+(t.extrapad?e:0)}}function c(t,e){var r,n,i,a=e._id,o=t._fullData,s=t._fullLayout,l=[],c=[];function f(t,e){for(r=0;r<e.length;r++){var o=t[e[r]],s=(o._extremes||{})[a];if(!0===o.visible&&s){for(n=0;n<s.min.length;n++)i=s.min[n],u(l,i.val,i.pad,{extrapad:i.extrapad});for(n=0;n<s.max.length;n++)i=s.max[n],h(c,i.val,i.pad,{extrapad:i.extrapad})}}}return f(o,e._traceIndices),f(s.annotations||[],e._annIndices||[]),f(s.shapes||[],e._shapeIndices||[]),{min:l,max:c}}function u(t,e,r,n){f(t,e,r,n,d)}function h(t,e,r,n){f(t,e,r,n,g)}function f(t,e,r,n,i){for(var a=n.tozero,o=n.extrapad,s=!0,l=0;l<t.length&&s;l++){var c=t[l];if(i(c.val,e)&&c.pad>=r&&(c.extrapad||!o)){s=!1;break}i(e,c.val)&&c.pad<=r&&(o||!c.extrapad)&&(t.splice(l,1),l--)}if(s){var u=a&&0===e;t.push({val:e,pad:u?0:r,extrapad:!u&&o})}}function p(t){return n(t)&&Math.abs(t)<a}function d(t,e){return t<=e}function g(t,e){return t>=e}e.exports={getAutoRange:s,makePadFn:l,doAutoRange:function(t,e){if(e.setScale(),e.autorange){e.range=s(t,e),e._r=e.range.slice(),e._rl=i.simpleMap(e._r,e.r2l);var r=e._input,n={};n[e._attr+".range"]=e.range,n[e._attr+".autorange"]=e.autorange,o.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,n),r.range=e.range.slice(),r.autorange=e.autorange}var a=e._anchorAxis;if(a&&a.rangeslider){var l=a.rangeslider[e._name];l&&"auto"===l.rangemode&&(l.range=s(t,e)),a._input.rangeslider[e._name]=i.extendFlat({},l)}},findExtremes:function(t,e,r){r||(r={});t._m||t.setScale();var i,o,s,l,c,f,d,g,m,v=[],y=[],x=e.length,b=r.padded||!1,_=r.tozero&&("linear"===t.type||"-"===t.type),w="log"===t.type,T=!1,k=r.vpadLinearized||!1;function M(t){if(Array.isArray(t))return T=!0,function(e){return Math.max(Number(t[e]||0),0)};var e=Math.max(Number(t||0),0);return function(){return e}}var A=M((t._m>0?r.ppadplus:r.ppadminus)||r.ppad||0),S=M((t._m>0?r.ppadminus:r.ppadplus)||r.ppad||0),E=M(r.vpadplus||r.vpad),C=M(r.vpadminus||r.vpad);if(!T){if(g=1/0,m=-1/0,w)for(i=0;i<x;i++)(o=e[i])<g&&o>0&&(g=o),o>m&&o<a&&(m=o);else for(i=0;i<x;i++)(o=e[i])<g&&o>-a&&(g=o),o>m&&o<a&&(m=o);e=[g,m],x=2}var L={tozero:_,extrapad:b};function P(r){s=e[r],n(s)&&(f=A(r),d=S(r),k?(l=t.c2l(s)-C(r),c=t.c2l(s)+E(r)):(g=s-C(r),m=s+E(r),w&&g<m/10&&(g=m/10),l=t.c2l(g),c=t.c2l(m)),_&&(l=Math.min(0,l),c=Math.max(0,c)),p(l)&&u(v,l,d,L),p(c)&&h(y,c,f,L))}var I=Math.min(6,x);for(i=0;i<I;i++)P(i);for(i=x-1;i>=I;i--)P(i);return{min:v,max:y,opts:r}},concatExtremes:c}},{"../../constants/numerical":725,"../../lib":750,"../../registry":882,"fast-isnumeric":241}],799:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("../../components/titles"),u=t("../../components/color"),h=t("../../components/drawing"),f=t("./layout_attributes"),p=t("./clean_ticks"),d=t("../../constants/numerical"),g=d.ONEMAXYEAR,m=d.ONEAVGYEAR,v=d.ONEMINYEAR,y=d.ONEMAXQUARTER,x=d.ONEAVGQUARTER,b=d.ONEMINQUARTER,_=d.ONEMAXMONTH,w=d.ONEAVGMONTH,T=d.ONEMINMONTH,k=d.ONEWEEK,M=d.ONEDAY,A=M/2,S=d.ONEHOUR,E=d.ONEMIN,C=d.ONESEC,L=d.MINUS_SIGN,P=d.BADNUM,I=t("../../constants/alignment"),z=I.MID_SHIFT,O=I.CAP_SHIFT,D=I.LINE_SPACING,R=I.OPPOSITE_SIDE,F=e.exports={};F.setConvert=t("./set_convert");var B=t("./axis_autotype"),N=t("./axis_ids");F.id2name=N.id2name,F.name2id=N.name2id,F.cleanId=N.cleanId,F.list=N.list,F.listIds=N.listIds,F.getFromId=N.getFromId,F.getFromTrace=N.getFromTrace;var j=t("./autorange");F.getAutoRange=j.getAutoRange,F.findExtremes=j.findExtremes;function U(t){var e=1e-4*(t[1]-t[0]);return[t[0]-e,t[1]+e]}F.coerceRef=function(t,e,r,n,i,a){var o=n.charAt(n.length-1),l=r._fullLayout._subplots[o+"axis"],c=n+"ref",u={};return i||(i=l[0]||("string"==typeof a?a:a[0])),a||(a=i),l=l.concat(l.map((function(t){return t+" domain"}))),u[c]={valType:"enumerated",values:l.concat(a?"string"==typeof a?[a]:a:[]),dflt:i},s.coerce(t,e,u,c)},F.getRefType=function(t){return void 0===t?t:"paper"===t?"paper":"pixel"===t?"pixel":/( domain)$/.test(t)?"domain":"range"},F.coercePosition=function(t,e,r,n,i,a){var o,l;if("range"!==F.getRefType(n))o=s.ensureNumber,l=r(i,a);else{var c=F.getFromId(e,n);l=r(i,a=c.fraction2r(a)),o=c.cleanPos}t[i]=o(l)},F.cleanPosition=function(t,e,r){return("paper"===r||"pixel"===r?s.ensureNumber:F.getFromId(e,r).cleanPos)(t)},F.redrawComponents=function(t,e){e=e||F.listIds(t);var r=t._fullLayout;function n(n,i,a,s){for(var l=o.getComponentMethod(n,i),c={},u=0;u<e.length;u++)for(var h=r[F.id2name(e[u])][a],f=0;f<h.length;f++){var p=h[f];if(!c[p]&&(l(t,p),c[p]=1,s))return}}n("annotations","drawOne","_annIndices"),n("shapes","drawOne","_shapeIndices"),n("images","draw","_imgIndices",!0)};var V=F.getDataConversions=function(t,e,r,n){var i,a="x"===r||"y"===r||"z"===r?r:n;if(Array.isArray(a)){if(i={type:B(n),_categories:[]},F.setConvert(i),"category"===i.type)for(var o=0;o<n.length;o++)i.d2c(n[o])}else i=F.getFromTrace(t,e,a);return i?{d2c:i.d2c,c2d:i.c2d}:"ids"===a?{d2c:H,c2d:H}:{d2c:q,c2d:q}};function q(t){return+t}function H(t){return String(t)}function G(t){return+t.substring(1)}F.getDataToCoordFunc=function(t,e,r,n){return V(t,e,r,n).d2c},F.counterLetter=function(t){var e=t.charAt(0);return"x"===e?"y":"y"===e?"x":void 0},F.minDtick=function(t,e,r,n){-1===["log","category","multicategory"].indexOf(t.type)&&n?void 0===t._minDtick?(t._minDtick=e,t._forceTick0=r):t._minDtick&&((t._minDtick/e+1e-6)%1<2e-6&&((r-t._forceTick0)/e%1+1.000001)%1<2e-6?(t._minDtick=e,t._forceTick0=r):((e/t._minDtick+1e-6)%1>2e-6||((r-t._forceTick0)/t._minDtick%1+1.000001)%1>2e-6)&&(t._minDtick=0)):t._minDtick=0},F.saveRangeInitial=function(t,e){for(var r=F.list(t,"",!0),n=!1,i=0;i<r.length;i++){var a=r[i],o=void 0===a._rangeInitial,s=o||!(a.range[0]===a._rangeInitial[0]&&a.range[1]===a._rangeInitial[1]);(o&&!1===a.autorange||e&&s)&&(a._rangeInitial=a.range.slice(),n=!0)}return n},F.saveShowSpikeInitial=function(t,e){for(var r=F.list(t,"",!0),n=!1,i="on",a=0;a<r.length;a++){var o=r[a],s=void 0===o._showSpikeInitial,l=s||!(o.showspikes===o._showspikes);(s||e&&l)&&(o._showSpikeInitial=o.showspikes,n=!0),"on"!==i||o.showspikes||(i="off")}return t._fullLayout._cartesianSpikesEnabled=i,n},F.autoBin=function(t,e,r,n,a,o){var l,c=s.aggNums(Math.min,null,t),u=s.aggNums(Math.max,null,t);if("category"===e.type||"multicategory"===e.type)return{start:c-.5,end:u+.5,size:Math.max(1,Math.round(o)||1),_dataSpan:u-c};if(a||(a=e.calendar),l="log"===e.type?{type:"linear",range:[c,u]}:{type:e.type,range:s.simpleMap([c,u],e.c2r,0,a),calendar:a},F.setConvert(l),o=o&&p.dtick(o,l.type))l.dtick=o,l.tick0=p.tick0(void 0,l.type,a);else{var h;if(r)h=(u-c)/r;else{var f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,"reverse",a);if("number"==typeof v)m=(y=function(t,e,r,n,a){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:i(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&"date"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for("M"===l.dtick.charAt(0)&&(y=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=F.tickIncrement(t,"M6","reverse")+1.5*M:a.exactMonths>.8?t=F.tickIncrement(t,"M1","reverse")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,a)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,a);return{start:e.c2r(y,0,a),end:e.c2r(m,0,a),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(t._dtickInit=t.dtick,t._tick0Init=t.tick0,"auto"===t.tickmode||!t.dtick){var n,a=t.nticks;a||("category"===t.type||"multicategory"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n="y"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),"radialaxis"===t._name&&(a*=2)),"array"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}"period"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||"M"!==t.dtick.charAt(0))}var n=r(),a=F.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%p/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=k,o&&!n&&t.dtick<k&&(t.dtick=k)):/%[Bbm]/.test(a)?(e=w,o&&(n?G(t.dtick)<1:t.dtick<T)&&(t.dtick="M1")):/%[q]/.test(a)?(e=x,o&&(n?G(t.dtick)<3:t.dtick<b)&&(t.dtick="M3")):/%[Yy]/.test(a)&&(e=m,o&&(n?G(t.dtick)<12:t.dtick<v)&&(t.dtick="M12")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0);t._definedDelta=e}(t),t.tick0||(t.tick0="date"===t.type?"2000-01-01":0),"date"===t.type&&t.dtick<.1&&(t.dtick=.1),tt(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if("array"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),i=U(s.simpleMap(t.range,t.r2l)),a=Math.min(i[0],i[1]),o=Math.max(i[0],i[1]),l=0;Array.isArray(r)||(r=[]);var c="category"===t.type?t.d2l_noadd:t.d2l;"log"===t.type&&"L"!==String(t.dtick).charAt(0)&&(t.dtick="L"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>a&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=et(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);var n=U(r),a=n[0],o=n[1],l=r[1]<r[0],c=Math.min(r[0],r[1]),u=Math.max(r[0],r[1]),h="log"===t.type&&!(i(t.dtick)||"L"===t.dtick.charAt(0)),f="period"===t.ticklabelmode;if(t._tmin=F.tickFirst(t,e),t._tmin<a!==l)return[];"category"!==t.type&&"multicategory"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var p=t._tmin;t.rangebreaks&&t._tick0Init!==t.tick0&&(p=yt(p,t),l||(p=F.tickIncrement(p,t.dtick,!l,t.calendar))),f&&(p=F.tickIncrement(p,t.dtick,!l,t.calendar));for(var d,E=Math.max(1e3,t._length||0),C=[],L=null;l?p>=o:p<=o;p=F.tickIncrement(p,t.dtick,l,t.calendar)){if(t.rangebreaks&&!l){if(p<a)continue;if(t.maskBreaks(p)===P&&yt(p,t)>=u)break}if(C.length>E||p===L)break;L=p;var I=!1;h&&p!==(0|p)&&(I=!0),C.push({minor:I,value:p})}if(f&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,c=t[o].value,u=Math.abs(c-l),h=r||u,f=0;h>=v?f=u>=v&&u<=g?u:m:r===x&&h>=b?f=u>=b&&u<=y?u:x:h>=T?f=u>=T&&u<=_?u:w:r===k&&h>=k?f=k:h>=M?f=M:r===A&&h>=A?f=A:r===S&&h>=S&&(f=S),f>=u&&(f=u,s=!0);var p=i+f;if(e.rangebreaks&&f>0){for(var d=0,E=0;E<84;E++){var C=(E+.5)/84;e.maskBreaks(i*(1-C)+C*p)!==P&&d++}(f*=d/84)||(t[n].drop=!0),s&&u>k&&(f=u)}(f>0||0===n)&&(t[n].periodX=i+f/2)}}(C,t,t._definedDelta),t.rangebreaks){var z="y"===t._id.charAt(0),O=1;"auto"===t.tickmode&&(O=t.tickfont?t.tickfont.size:12);var D=NaN;for(d=C.length-1;d>-1;d--)if(C[d].drop)C.splice(d,1);else{C[d].value=yt(C[d].value,t);var R=t.c2p(C[d].value);(z?D>R-O:D<R+O)?C.splice(l?d+1:d,1):D=R}}vt(t)&&360===Math.abs(r[1]-r[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;var B,N,j=[];for(d=0;d<C.length;d++){var V=C[d].minor,q=C[d].value;B=F.tickText(t,q,!1,V),void 0!==(N=C[d].periodX)&&(B.periodX=N,(N>u||N<c)&&(N>u&&(B.periodX=u),N<c&&(B.periodX=c),B.text=" ",t._prevDateHead="")),j.push(B)}return t._inCalcTicks=!1,j};var Y=[2,5,10],W=[1,2,3,6,12],Z=[1,2,5,10,15,30],X=[1,2,3,7,14],J=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],K=[-.301,0,.301,.699,1],Q=[15,30,45,90,180];function $(t,e,r){return e*s.roundUp(t/e,r)}function tt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=M&&a<=10||e>=15*M)t._tickround="d";else if(e>=E&&a<=16||e>=S)t._tickround="M";else if(e>=C&&a<=19||e>=E)t._tickround="S";else{var o=t.l2r(r+e).replace(/^-/,"").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||"L"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(nt(t.exponentformat)&&!it(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function et(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||"",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if("date"===t.type){t.tick0=s.dateTick0(t.calendar,0);var a=2*e;if(a>m)e/=m,r=n(10),t.dtick="M"+12*$(e,r,Y);else if(a>w)e/=w,t.dtick="M"+$(e,1,W);else if(a>M){t.dtick=$(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:X);var o=F.getTickFormat(t),l="period"===t.ticklabelmode;l&&(t._rawTick0=t.tick0),/%[uVW]/.test(o)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),l&&(t._dowTick0=t.tick0)}else a>S?t.dtick=$(e,S,W):a>E?t.dtick=$(e,E,Z):a>C?t.dtick=$(e,C,Z):(r=n(10),t.dtick=$(e,r,Y))}else if("log"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick="L"+$(e,r,Y)}else t.dtick=e>.3?"D2":"D1"}else"category"===t.type||"multicategory"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):vt(t)?(t.tick0=0,r=1,t.dtick=$(e,r,Q)):(t.tick0=0,r=n(10),t.dtick=$(e,r,Y));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&"string"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,"ax.dtick error: "+String(h)}},F.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if("M"===l)return s.incrementMonth(t,c,a);if("L"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if("D"===l){var u="D2"===e?K:J,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw"unrecognized dtick "+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,c=U(a)[0],u=t.dtick,h=r(t.tick0);if(i(u)){var f=l((c-h)/u)*u+h;return"category"!==t.type&&"multicategory"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if("M"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error("tickFirst did not converge",t),x}if("L"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if("D"===p){var b="D2"===u?K:J,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw"unrecognized dtick "+String(u)},F.tickText=function(t,e,r,n){var a,o=et(t,e),l="array"===t.tickmode,c=r||l,u=t.type,h="category"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return"none"===n;var i={first:t._tmin,last:t._tmax}[n];return"all"!==n&&e!==i}var g=r?"never":"none"!==t.exponentformat&&d(t.showexponent)?"hide":"";if("date"===u?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(a=i(a)?4:{y:"m",m:"d",d:"M",M:"S",S:4}[a]);var l,c=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf("\n");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&("00:00:00"===c||"00:00"===c?(c=l,l=""):8===c.length&&(c=c.replace(/:00$/,"")));l&&(r?"d"===a?c+=", "+l:c=l+(c?", "+c:""):t._inCalcTicks&&l===t._prevDateHead||(c+="<br>"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):"log"===u?function(t,e,r,n,a){var o=t.dtick,l=e.x,c=t.tickformat,u="string"==typeof o&&o.charAt(0);"never"===a&&(a="");n&&"L"!==u&&(o="L3",u="L");if(c||"L"===u)e.text=at(Math.pow(10,l),t,a,n);else if(i(o)||"D"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;"power"===p||nt(p)&&it(h)?(e.text=0===h?1:1===h?"10":"10<sup>"+(h>1?"":L)+f+"</sup>",e.fontSize*=1.25):("e"===p||"E"===p)&&f>2?e.text="1"+p+(h>0?"+":L)+f:(e.text=at(Math.pow(10,l),t,"","fakehover"),"D1"===o&&"y"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if("D"!==u)throw"unrecognized dtick "+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if("D1"===t.dtick){var d=String(e.text).charAt(0);"0"!==d&&"1"!==d||("y"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):"category"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r="");e.text=String(r)}(t,o):"multicategory"===u?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?"":String(i[1]),o=void 0===i[0]?"":String(i[0]);r?e.text=o+" - "+a:(e.text=a,e.text2=o)}(t,o,r):vt(t)?function(t,e,r,n,i){if("radians"!==t.thetaunit||r)e.text=at(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text="0";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=at(s.deg2rad(e.x),t,i,n);else{var l=e.x<0;1===o[1]?1===o[0]?e.text="\u03c0":e.text=o[0]+"\u03c0":e.text=["<sup>",o[0],"</sup>","\u2044","<sub>",o[1],"</sub>","\u03c0"].join(""),l&&(e.text=L+e.text)}}}}(t,o,r,c,g):function(t,e,r,n,i){"never"===i?i="":"all"===t.showexponent&&Math.abs(e.x/t.dtick)<1e-6&&(i="hide");e.text=at(e.x,t,i,n)}(t,o,0,c,g),n||(t.tickprefix&&!d(t.showtickprefix)&&(o.text=t.tickprefix+o.text),t.ticksuffix&&!d(t.showticksuffix)&&(o.text+=t.ticksuffix)),"boundaries"===t.tickson||t.showdividers){var m=function(e){var r=t.l2p(e);return r>=0&&r<=t._length?e:null};o.xbnd=[m(o.x-.5),m(o.x+t.dtick-.5)]}return o},F.hoverLabelText=function(t,e,r){if(r!==P&&r!==e)return F.hoverLabelText(t,e)+" - "+F.hoverLabelText(t,r);var n="log"===t.type&&e<=0,i=F.tickText(t,t.c2l(n?-e:e),"hover").text;return n?0===e?"0":L+i:i};var rt=["f","p","n","\u03bc","m","","k","M","G","T"];function nt(t){return"SI"===t||"B"===t}function it(t){return t>14||t<-15}function at(t,e,r,n){var a=t<0,o=e._tickround,l=r||e.exponentformat||"B",c=e._tickexponent,u=F.getTickFormat(e),h=e.separatethousands;if(n){var f={exponentformat:l,minexponent:e.minexponent,dtick:"none"===e.showexponent?e.dtick:i(t)&&Math.abs(t)||1,range:"none"===e.showexponent?e.range.map(e.r2d):[0,t||1]};tt(f),o=(Number(f._tickround)||0)+4,c=f._tickexponent,e.hoverformat&&(u=e.hoverformat)}if(u)return e._numFormat(u)(t).replace(/-/g,L);var p,d=Math.pow(10,-o)/2;if("none"===l&&(c=0),(t=Math.abs(t))<d)t="0",a=!1;else{if(t+=d,c&&(t*=Math.pow(10,-c),o+=c),0===o)t=String(Math.floor(t));else if(o<0){t=(t=String(Math.round(t))).substr(0,t.length+o);for(var g=o;g<0;g++)t+="0"}else{var m=(t=String(t)).indexOf(".")+1;m&&(t=t.substr(0,m+o).replace(/\.?0+$/,""))}t=s.numSeparate(t,e._separators,h)}c&&"hide"!==l&&(nt(l)&&it(c)&&(l="power"),p=c<0?L+-c:"power"!==l?"+"+c:String(c),"e"===l||"E"===l?t+=l+p:"power"===l?t+="\xd710<sup>"+p+"</sup>":"B"===l&&9===c?t+="B":nt(l)&&(t+=rt[c/3+5]));return a?L+t:t}function ot(t,e){for(var r=[],n={},i=0;i<e.length;i++){var a=e[i];n[a.text2]?n[a.text2].push(a.x):n[a.text2]=[a.x]}for(var o in n)r.push(et(t,s.interp(n[o],.5),o));return r}function st(t){return[t.text,t.x,t.axInfo,t.font,t.fontSize,t.fontColor].join("_")}function lt(t){var e=t.title.font.size,r=(t.title.text.match(l.BR_TAG_ALL)||[]).length;return t.title.hasOwnProperty("standoff")?r?e*(O+r*D):e*O:r?e*(r+1)*D:e}function ct(t,e){var r=t.l2p(e);return r>1&&r<t._length-1}function ut(t){var e=n.select(t),r=e.select(".text-math-group");return r.empty()?e.select("text"):r}function ht(t){return t._id+".automargin"}function ft(t){return ht(t)+".mirror"}function pt(t){return t._id+".rangeslider"}function dt(t,e){for(var r=0;r<e.length;r++)-1===t.indexOf(e[r])&&t.push(e[r])}function gt(t,e,r){var n,i,a=[],o=[],l=t.layout;for(n=0;n<e.length;n++)a.push(F.getFromId(t,e[n]));for(n=0;n<r.length;n++)o.push(F.getFromId(t,r[n]));var c=Object.keys(f),u=["anchor","domain","overlaying","position","side","tickangle","editType"],h=["linear","log"];for(n=0;n<c.length;n++){var p=c[n],d=a[0][p],g=o[0][p],m=!0,v=!1,y=!1;if("_"!==p.charAt(0)&&"function"!=typeof d&&-1===u.indexOf(p)){for(i=1;i<a.length&&m;i++){var x=a[i][p];"type"===p&&-1!==h.indexOf(d)&&-1!==h.indexOf(x)&&d!==x?v=!0:x!==d&&(m=!1)}for(i=1;i<o.length&&m;i++){var b=o[i][p];"type"===p&&-1!==h.indexOf(g)&&-1!==h.indexOf(b)&&g!==b?y=!0:o[i][p]!==g&&(m=!1)}m&&(v&&(l[a[0]._name].type="linear"),y&&(l[o[0]._name].type="linear"),mt(l,p,a,o,t._fullLayout._dfltTitle))}}for(n=0;n<t._fullLayout.annotations.length;n++){var _=t._fullLayout.annotations[n];-1!==e.indexOf(_.xref)&&-1!==r.indexOf(_.yref)&&s.swapAttrs(l.annotations[n],["?"])}}function mt(t,e,r,n,i){var a,o=s.nestedProperty,l=o(t[r[0]._name],e).get(),c=o(t[n[0]._name],e).get();for("title"===e&&(l&&l.text===i.x&&(l.text=i.y),c&&c.text===i.y&&(c.text=i.x)),a=0;a<r.length;a++)o(t,r[a]._name+"."+e).set(c);for(a=0;a<n.length;a++)o(t,n[a]._name+"."+e).set(l)}function vt(t){return"angularaxis"===t._id}function yt(t,e){for(var r=e._rangebreaks.length,n=0;n<r;n++){var i=e._rangebreaks[n];if(t>=i.min&&t<i.max)return i.max}return t}F.getTickFormat=function(t){var e,r,n,i,a,o,s,l;function c(t){return"string"!=typeof t?t:Number(t.replace("M",""))*w}function u(t,e){var r=["L","D"];if(typeof t==typeof e){if("number"==typeof t)return t-e;var n=r.indexOf(t.charAt(0)),i=r.indexOf(e.charAt(0));return n===i?Number(t.replace(/(L|D)/g,""))-Number(e.replace(/(L|D)/g,"")):n-i}return"number"==typeof t?1:-1}function h(t,e){var r=null===e[0],n=null===e[1],i=u(t,e[0])>=0,a=u(t,e[1])<=0;return(r||i)&&(n||a)}if(t.tickformatstops&&t.tickformatstops.length>0)switch(t.type){case"date":case"linear":for(e=0;e<t.tickformatstops.length;e++)if((n=t.tickformatstops[e]).enabled&&(i=t.dtick,a=n.dtickrange,o=void 0,s=void 0,l=void 0,o=c||function(t){return t},s=a[0],l=a[1],(!s&&"number"!=typeof s||o(s)<=o(i))&&(!l&&"number"!=typeof l||o(l)>=o(i)))){r=n;break}break;case"log":for(e=0;e<t.tickformatstops.length;e++)if((n=t.tickformatstops[e]).enabled&&h(t.dtick,n.dtickrange)){r=n;break}}return r?r.value:t.tickformat},F.getSubplots=function(t,e){var r=t._fullLayout._subplots,n=r.cartesian.concat(r.gl2d||[]),i=e?F.findSubplotsWithAxis(n,e):n;return i.sort((function(t,e){var r=t.substr(1).split("y"),n=e.substr(1).split("y");return r[0]===n[0]?+r[1]-+n[1]:+r[0]-+n[0]})),i},F.findSubplotsWithAxis=function(t,e){for(var r=new RegExp("x"===e._id.charAt(0)?"^"+e._id+"y":e._id+"$"),n=[],i=0;i<t.length;i++){var a=t[i];r.test(a)&&n.push(a)}return n},F.makeClipPaths=function(t){var e=t._fullLayout;if(!e._hasOnlyLargeSploms){var r,i,a={_offset:0,_length:e.width,_id:""},o={_offset:0,_length:e.height,_id:""},s=F.list(t,"x",!0),l=F.list(t,"y",!0),c=[];for(r=0;r<s.length;r++)for(c.push({x:s[r],y:o}),i=0;i<l.length;i++)0===r&&c.push({x:a,y:l[i]}),c.push({x:s[r],y:l[i]});var u=e._clips.selectAll(".axesclip").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append("clipPath").classed("axesclip",!0).attr("id",(function(t){return"clip"+e._uid+t.x._id+t.y._id})).append("rect"),u.exit().remove(),u.each((function(t){n.select(this).select("rect").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},F.draw=function(t,e,r){var n=t._fullLayout;"redraw"===e&&n._paper.selectAll("g.subplot").each((function(t){var e=t[0],r=n._plots[e],i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll("."+i._id+"tick").remove(),r.yaxislayer.selectAll("."+a._id+"tick").remove(),r.xaxislayer.selectAll("."+i._id+"tick2").remove(),r.yaxislayer.selectAll("."+a._id+"tick2").remove(),r.xaxislayer.selectAll("."+i._id+"divider").remove(),r.yaxislayer.selectAll("."+a._id+"divider").remove(),r.gridlayer&&r.gridlayer.selectAll("path").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll("path").remove(),n._infolayer.select(".g-"+i._id+"title").remove(),n._infolayer.select(".g-"+a._id+"title").remove()}));var i=e&&"redraw"!==e?e:F.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=F.getFromId(t,e),i=F.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},F.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var f=t._fullLayout,p=e._id,d=p.charAt(0),g=F.counterLetter(p),m=f._plots[e._mainSubplot];if(m){var v=m[d+"axislayer"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join("_");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A="period"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if("boundaries"===e.tickson){var S=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T="inside"===e.ticks?k:S}else k=F.clipEnds(e,b),T="inside"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!f._hasOnlyLargeSploms){var L=e._subplotsWith,P={};for(n=0;n<L.length;n++){i=L[n];var I=(l=f._plots[i])[g+"axis"],z=I._mainAxis._id;if(!P[z]){P[z]=1;var O="x"===d?"M0,"+I._offset+"v"+I._length:"M"+I._offset+",0h"+I._length;F.drawGrid(t,e,{vals:E,counterAxis:I,layer:l.gridlayer.select("."+p),path:O,transFn:M}),F.drawZeroLine(t,e,{counterAxis:I,layer:l.zerolinelayer,path:O,transFn:M})}}}var B=F.getTickSigns(e),N=[];if(e.ticks){var j,U,V,q=F.makeTickPath(e,y,B[2]);if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=F.makeTickPath(e,x,B[3]),U=q+j):(j="",U=q),e.showdividers&&"outside"===e.ticks&&"boundaries"===e.tickson){var H={};for(n=0;n<C.length;n++)H[C[n].x]=1;V=function(t){return H[t.x]?j:U}}else V=U;F.drawTicks(t,e,{vals:T,layer:v,path:V,transFn:M}),"allticks"===e.mirror&&(N=Object.keys(e._linepositions||{}))}for(n=0;n<N.length;n++){i=N[n],l=f._plots[i];var G=e._linepositions[i]||[],Y=F.makeTickPath(e,G[0],B[0])+F.makeTickPath(e,G[1],B[1]);F.drawTicks(t,e,{vals:T,layer:l[d+"axislayer"],path:Y,transFn:M})}var W=[];if(W.push((function(){return F.drawLabels(t,e,{vals:b,layer:v,transFn:A,labelFns:F.makeLabelFns(e,y)})})),"multicategory"===e.type){var Z={x:2,y:10}[d];W.push((function(){var r={x:"height",y:"width"}[d],n=J()[r]+Z+(e._tickAngles[p+"tick"]?e.tickfont.size*D:0);return F.drawLabels(t,e,{vals:ot(e,b),layer:v,cls:p+"tick2",repositionOnUpdate:!0,secondary:!0,transFn:M,labelFns:F.makeLabelFns(e,y+n*B[4])})})),W.push((function(){return e._depth=B[4]*(J("tick2")[e.side]-y),function(t,e,r){var n=e._id+"divider",i=r.vals,a=r.layer.selectAll("path."+n).data(i,st);a.exit().remove(),a.enter().insert("path",":first-child").classed(n,1).classed("crisp",1).call(u.stroke,e.dividercolor).style("stroke-width",h.crispRound(t,e.dividerwidth,1)+"px"),a.attr("transform",r.transFn).attr("d",r.path)}(t,e,{vals:C,layer:v,path:F.makeTickPath(e,y,B[4],e._depth),transFn:M})}))}else e.title.hasOwnProperty("standoff")&&W.push((function(){e._depth=B[4]*(J()[e.side]-y)}));var X=o.getComponentMethod("rangeslider","isVisible")(e);return W.push((function(){var r,n,i,s,l=e.side.charAt(0),c=R[e.side].charAt(0),u=F.getPxPosition(t,e),h="outside"===e.ticks?e.ticklen:0;if((e.automargin||X)&&("multicategory"===e.type?r=J("tick2"):(r=J(),"x"===d&&"b"===l&&(e._depth=Math.max(r.width>0?r.bottom-u:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if("x"===d){if("b"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?u-r.top:0,h),p.reverse()),r.width>0){var m=r.right-(e._offset+e._length);m>0&&(n.xr=1,n.r=m);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if("l"===l?n[l]=e._depth=Math.max(r.height>0?u-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-u:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[g]="free"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==f._dfltTitle[d]&&(n[l]+=lt(e)+(e.title.standoff||0)),e.mirror&&"free"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[c]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[c]+=h),!0===e.mirror||"ticks"===e.mirror?i[g]=e._anchorAxis.domain[p[1]]:"all"!==e.mirror&&"allticks"!==e.mirror||(i[g]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}X&&(s=o.getComponentMethod("rangeslider","autoMarginOpts")(t,e)),a.autoMargin(t,ht(e),n),a.autoMargin(t,ft(e),i),a.autoMargin(t,pt(e),s)})),r.skipTitle||X&&"bottom"===e.side||W.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty("standoff"))r=e._depth+e.title.standoff+lt(e);else{if("multicategory"===e.type)r=e._depth;else{r=10+1.5*o+(e.linewidth?e.linewidth-1:0)}r+="x"===a?"top"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):"right"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0)}var s,l,u,f,p=F.getPxPosition(t,e);"x"===a?(l=e._offset+e._length/2,u="top"===e.side?p-r:p+r):(u=e._offset+e._length/2,l="right"===e.side?p+r:p-r,s={rotate:"-90",offset:0});if("multicategory"!==e.type){var d=e._selections[e._id+"tick"];if(f={selection:d,side:e.side},d&&d.node()&&d.node().parentNode){var g=h.getTranslate(d.node().parentNode);f.offsetLeft=g.x,f.offsetTop=g.y}e.title.hasOwnProperty("standoff")&&(f.pad=0)}return c.draw(t,i+"title",{propContainer:e,propName:e._name+".title.text",placeholder:n._dfltTitle[a],avoid:f,transform:s,attributes:{x:l,y:u,"text-anchor":"middle"}})}(t,e)})),s.syncOrAsync(W)}}function J(t){var r=p+(t||"tick");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=ut(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},F.getTickSigns=function(t){var e=t._id.charAt(0),r={x:"top",y:"right"}[e],n=t.side===r?1:-1,i=[-1,1,n,-n];return"inside"!==t.ticks==("x"===e)&&(i=i.map((function(t){return-t}))),t.side&&i.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),i},F.makeTransFn=function(t){var e=t._id.charAt(0),r=t._offset;return"x"===e?function(e){return"translate("+(r+t.l2p(e.x))+",0)"}:function(e){return"translate(0,"+(r+t.l2p(e.x))+")"}},F.makeTransPeriodFn=function(t){var e=t._id.charAt(0),r=t._offset;return"x"===e?function(e){return"translate("+(r+t.l2p(void 0!==e.periodX?e.periodX:e.x))+",0)"}:function(e){return"translate(0,"+(r+t.l2p(void 0!==e.periodX?e.periodX:e.x))+")"}},F.makeTickPath=function(t,e,r,n){n=void 0!==n?n:t.ticklen;var i=t._id.charAt(0),a=(t.linewidth||1)/2;return"x"===i?"M0,"+(e+a*r)+"v"+n*r:"M"+(e+a*r)+",0h"+n*r},F.makeLabelFns=function(t,e,r){var n=t._id.charAt(0),a="boundaries"!==t.tickson&&"outside"===t.ticks,o=0,l=0;if(a&&(o+=t.ticklen),r&&"outside"===t.ticks){var c=s.deg2rad(r);o=t.ticklen*Math.cos(c)+1,l=t.ticklen*Math.sin(c)}t.showticklabels&&(a||t.showline)&&(o+=.2*t.tickfont.size);var u,h,f,p,d={labelStandoff:o+=(t.linewidth||1)/2,labelShift:l};return"x"===n?(p="bottom"===t.side?1:-1,u=l*p,h=e+o*p,f="bottom"===t.side?1:-.2,d.xFn=function(t){return t.dx+u},d.yFn=function(t){return t.dy+h+t.fontSize*f},d.anchorFn=function(t,e){return i(e)&&0!==e&&180!==e?e*p<0?"end":"start":"middle"},d.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:"top"===t.side?-n:0}):"y"===n&&(p="right"===t.side?1:-1,u=o,h=-l*p,f=90===Math.abs(t.tickangle)?.5:0,d.xFn=function(t){return t.dx+e+(u+t.fontSize*f)*p},d.yFn=function(t){return t.dy+h+t.fontSize*z},d.anchorFn=function(e,r){return i(r)&&90===Math.abs(r)?"middle":"right"===t.side?"start":"end"},d.heightFn=function(e,r,n){return(r*="left"===t.side?1:-1)<-30?-n:r<30?-.5*n:0}),d},F.drawTicks=function(t,e,r){r=r||{};var n=e._id+"tick",i=r.vals;"period"===e.ticklabelmode&&(i=i.slice()).shift();var a=r.layer.selectAll("path."+n).data(e.ticks?i:[],st);a.exit().remove(),a.enter().append("path").classed(n,1).classed("ticks",1).classed("crisp",!1!==r.crisp).call(u.stroke,e.tickcolor).style("stroke-width",h.crispRound(t,e.tickwidth,1)+"px").attr("d",r.path),a.attr("transform",r.transFn)},F.drawGrid=function(t,e,r){r=r||{};var n=e._id+"grid",i=r.vals,a=r.counterAxis;if(!1===e.showgrid)i=[];else if(a&&F.shouldShowZeroLine(t,e,a))for(var o="array"===e.tickmode,s=0;s<i.length;s++){var l=i[s].x;if(o?!l:Math.abs(l)<e.dtick/100){if(i=i.slice(0,s).concat(i.slice(s+1)),!o)break;s--}}var c=r.layer.selectAll("path."+n).data(i,st);c.exit().remove(),c.enter().append("path").classed(n,1).classed("crisp",!1!==r.crisp),e._gw=h.crispRound(t,e.gridwidth,1),c.attr("transform",r.transFn).attr("d",r.path).call(u.stroke,e.gridcolor||"#ddd").style("stroke-width",e._gw+"px"),"function"==typeof r.path&&c.attr("d",r.path)},F.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+"zl",i=F.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll("path."+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append("path").classed(n,1).classed("zl",1).classed("crisp",!1!==r.crisp).each((function(){r.layer.selectAll("path").sort((function(t,e){return N.idSort(t.id,e.id)}))})),a.attr("transform",r.transFn).attr("d",r.path).call(u.stroke,e.zerolinecolor||u.defaultLine).style("stroke-width",h.crispRound(t,e.zerolinewidth,e._gw||1)+"px")},F.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,c=o.charAt(0),u=r.cls||o+"tick",f=r.vals,p=r.labelFns,d=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[u],m=r.layer.selectAll("g."+u).data(e.showticklabels?f:[],st),v=[];function y(t,e){t.each((function(t){var a=n.select(this),o=a.select(".text-math-group"),s=p.anchorFn(t,e),c=r.transFn.call(a.node(),t)+(i(e)&&0!=+e?" rotate("+e+","+p.xFn(t)+","+(p.yFn(t)-t.fontSize/2)+")":""),u=l.lineCount(a),f=D*t.fontSize,d=p.heightFn(t,i(e)?+e:0,(u-1)*f);if(d&&(c+=" translate(0, "+d+")"),o.empty())a.select("text").attr({transform:c,"text-anchor":s});else{var g=h.bBox(o.node()).width*{end:-.5,start:.5}[s];o.attr("transform",c+(g?"translate("+g+",0)":""))}}))}m.enter().append("g").classed(u,1).append("text").attr("text-anchor","middle").each((function(e){var r=n.select(this),i=t._promises.length;r.call(l.positionText,p.xFn(e),p.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(l.convertToTspans,t),t._promises[i]?v.push(t._promises.pop().then((function(){y(r,d)}))):y(r,d)})),m.exit().remove(),r.repositionOnUpdate&&m.each((function(t){n.select(this).select("text").call(l.positionText,p.xFn(t),p.yFn(t))})),y(m,g+1?g:d);var x=null;e._selections&&(e._selections[u]=m);var b=[function(){return v.length&&Promise.all(v)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(x=90,b.push((function(){y(m,g)}))):b.push((function(){if(y(m,d),f.length&&"x"===c&&!i(d)&&("log"!==e.type||"D"!==String(e.dtick).charAt(0))){x=0;var t,n=0,a=[];if(m.each((function(t){n=Math.max(n,t.fontSize);var r=e.l2p(t.x),i=ut(this),o=h.bBox(i.node());a.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})})),"boundaries"!==e.tickson&&!e.showdividers||r.secondary){var o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1)<2.5*n||"multicategory"===e.type;for(t=0;t<a.length-1;t++)if(s.bBoxIntersect(a[t],a[t+1])){x=l?90:30;break}}else{var u=2;for(e.ticks&&(u+=e.tickwidth/2),t=0;t<a.length;t++){var p=f[t].xbnd,g=a[t];if(null!==p[0]&&g.left-e.l2p(p[0])<u||null!==p[1]&&e.l2p(p[1])-g.right<u){x=90;break}}}x&&y(m,x)}})),e._tickAngles&&b.push((function(){e._tickAngles[u]=null===x?i(d)?d:0:x}));var _=s.syncOrAsync(b);return _&&_.then&&t._promises.push(_),_},F.getPxPosition=function(t,e){var r,n=t._fullLayout._size,i=e._id.charAt(0),a=e.side;return"free"!==e.anchor?r=e._anchorAxis:"x"===i?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:"y"===i&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),"top"===a||"left"===a?r._offset:"bottom"===a||"right"===a?r._offset+r._length:void 0},F.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&("linear"===e.type||"-"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===P)&&(ct(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(!i)return;var a=t._fullLayout,o=e._id.charAt(0),s=F.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==("x"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return"number"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var i=t._linepositions||{};for(var a in i)if(n(i[a][0])||n(i[a][1]))return!0}var u=a._plots[r._mainSubplot];if(!(u.mainplotinfo||u).overlays.length)return c(r);for(var h=F.list(t,s),f=0;f<h.length;f++){var p=h[f];if(p._mainAxis===i&&c(p))return!0}}(t,e,r,n)||function(t,e){for(var r=t._fullData,n=e._mainSubplot,i=e._id.charAt(0),a=0;a<r.length;a++){var s=r[a];if(!0===s.visible&&s.xaxis+s.yaxis===n){if(o.traceIs(s,"bar-like")&&s.orientation==={x:"h",y:"v"}[i])return!0;if(s.fill&&s.fill.charAt(s.fill.length-1)===i)return!0}}return!1}(t,e))},F.clipEnds=function(t,e){return e.filter((function(e){return ct(t,e.x)}))},F.allowAutoMargin=function(t){for(var e=F.list(t,"",!0),r=0;r<e.length;r++){var n=e[r];n.automargin&&(a.allowAutoMargin(t,ht(n)),n.mirror&&a.allowAutoMargin(t,ft(n))),o.getComponentMethod("rangeslider","isVisible")(n)&&a.allowAutoMargin(t,pt(n))}},F.swap=function(t,e){for(var r=function(t,e){var r,n,i=[];for(r=0;r<e.length;r++){var a=[],o=t._fullData[e[r]].xaxis,s=t._fullData[e[r]].yaxis;if(o&&s){for(n=0;n<i.length;n++)-1===i[n].x.indexOf(o)&&-1===i[n].y.indexOf(s)||a.push(n);if(a.length){var l,c=i[a[0]];if(a.length>1)for(n=1;n<a.length;n++)l=i[a[n]],dt(c.x,l.x),dt(c.y,l.y);dt(c.x,[o]),dt(c.y,[s])}else i.push({x:[o],y:[s]})}}return i}(t,e),n=0;n<r.length;n++)gt(t,r[n].x,r[n].y)}},{"../../components/color":615,"../../components/drawing":637,"../../components/titles":710,"../../constants/alignment":717,"../../constants/numerical":725,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/plots":862,"../../registry":882,"./autorange":798,"./axis_autotype":800,"./axis_ids":802,"./clean_ticks":804,"./layout_attributes":813,"./set_convert":819,d3:169,"fast-isnumeric":241}],800:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,i.isArrayOrTypedArray(o[0])&&i.isArrayOrTypedArray(o[1]))?"multicategory":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),a=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,i.isDateTime(c,e)&&(a+=1),n(c)&&(o+=1))}return a>2*o}(t,e)?"date":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,"boolean"==typeof l?n++:i.cleanNumber(l)!==a?r++:"string"==typeof l&&n++)}return n>2*r}(t)?"category":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?"linear":"-";var o}},{"../../constants/numerical":725,"../../lib":750,"fast-isnumeric":241}],801:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../registry"),a=t("../../lib"),o=t("../array_container_defaults"),s=t("./layout_attributes"),l=t("./tick_value_defaults"),c=t("./tick_mark_defaults"),u=t("./tick_label_defaults"),h=t("./category_order_defaults"),f=t("./line_grid_defaults"),p=t("./set_convert"),d=t("./constants").WEEKDAY_PATTERN,g=t("./constants").HOUR_PATTERN;function m(t,e,r){function i(r,n){return a.coerce(t,e,s.rangebreaks,r,n)}if(i("enabled")){var o=i("bounds");if(o&&o.length>=2){var l,c,u="";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=i("pattern",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var f=r.range;if(f[0]<f[1]){if(o[0]<f[0]&&o[1]>f[1])return void(e.enabled=!1)}else if(o[0]>f[0]&&o[1]<f[1])return void(e.enabled=!1)}}else{var p=i("values");if(!p||!p.length)return void(e.enabled=!1);i("dvalue")}}}e.exports=function(t,e,r,n,g){var v=n.letter,y=n.font||{},x=n.splomStash||{},b=r("visible",!n.visibleDflt),_=e._template||{},w=e.type||_.type||"-";"date"===w&&i.getComponentMethod("calendars","handleDefaults")(t,e,"calendar",n.calendar);p(e,g);var T=!e.isValidRange(t.range);T&&n.reverseDflt&&(T="reversed"),!r("autorange",T)||"linear"!==w&&"-"!==w||r("rangemode"),r("range"),e.cleanRange(),h(t,e,r,n),"category"===w||n.noHover||r("hoverformat");var k=r("color"),M=k!==s.color.dflt?k:y.color,A=x.label||g._dfltTitle[v];if(u(t,e,r,w,n,{pass:1}),!b)return e;r("title.text",A),a.coerceFont(r,"title.font",{family:y.family,size:Math.round(1.2*y.size),color:M}),l(t,e,r,w),u(t,e,r,w,n,{pass:2}),c(t,e,r,n),f(t,e,r,{dfltColor:k,bgColor:n.bgColor,showGrid:n.showGrid,attributes:s}),(e.showline||e.ticks)&&r("mirror"),n.automargin&&r("automargin");var S,E="multicategory"===w;n.noTickson||"category"!==w&&!E||!e.ticks&&!e.showgrid||(E&&(S="boundaries"),r("tickson",S));E&&(r("showdividers")&&(r("dividercolor"),r("dividerwidth")));if("date"===w)if(n.noTicklabelmode||r("ticklabelmode"),o(t,e,{name:"rangebreaks",inclusionAttr:"enabled",handleItemDefaults:m}),e.rangebreaks.length){for(var C=0;C<e.rangebreaks.length;C++)if(e.rangebreaks[C].pattern===d){e._hasDayOfWeekBreaks=!0;break}if(p(e,g),g._has("scattergl")||g._has("splom"))for(var L=0;L<n.data.length;L++){var P=n.data[L];"scattergl"!==P.type&&"splom"!==P.type||(P.visible=!1,a.warn(P.type+" traces do not work on axes with rangebreaks. Setting trace "+P.index+" to `visible: false`."))}}else delete e.rangebreaks;return e};var v={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function y(t){if("string"==typeof t)return v[t.substr(0,3).toLowerCase()]}},{"../../lib":750,"../../registry":882,"../array_container_defaults":794,"./category_order_defaults":803,"./constants":805,"./layout_attributes":813,"./line_grid_defaults":815,"./set_convert":819,"./tick_label_defaults":820,"./tick_mark_defaults":821,"./tick_value_defaults":822,"fast-isnumeric":241}],802:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./constants");r.id2name=function(t){if("string"==typeof t&&t.match(i.AX_ID_PATTERN)){var e=t.split(" ")[0].substr(1);return"1"===e&&(e=""),t.charAt(0)+"axis"+e}},r.name2id=function(t){if(t.match(i.AX_NAME_PATTERN)){var e=t.substr(5);return"1"===e&&(e=""),t.charAt(0)+e}},r.cleanId=function(t,e,r){var n=/( domain)$/.test(t);if("string"==typeof t&&t.match(i.AX_ID_PATTERN)&&(!e||t.charAt(0)===e)&&(!n||r)){var a=t.split(" ")[0].substr(1).replace(/^0+/,"");return"1"===a&&(a=""),t.charAt(0)+a+(n&&r?" domain":"")}},r.list=function(t,e,n){var i=t._fullLayout;if(!i)return[];var a,o=r.listIds(t,e),s=new Array(o.length);for(a=0;a<o.length;a++){var l=o[a];s[a]=i[l.charAt(0)+"axis"+l.substr(1)]}if(!n){var c=i._subplots.gl3d||[];for(a=0;a<c.length;a++){var u=i[c[a]];e?s.push(u[e+"axis"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+"axis"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var i=t._fullLayout;return e=void 0===e||"string"!=typeof e?e:e.replace(" domain",""),"x"===n?e=e.replace(/y[0-9]*/,""):"y"===n&&(e=e.replace(/x[0-9]*/,"")),i[r.id2name(e)]},r.getFromTrace=function(t,e,i){var a=t._fullLayout,o=null;if(n.traceIs(e,"gl3d")){var s=e.scene;"scene"===s.substr(0,5)&&(o=a[s][i+"axis"])}else o=r.getFromId(t,e[i+"axis"]||i);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return"g"+n}return e},r.ref2id=function(t){return!!/^[xyz]/.test(t)&&t.split(" ")[0]}},{"../../registry":882,"./constants":805}],803:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){if("category"===e.type){var i,a=t.categoryarray,o=Array.isArray(a)&&a.length>0;o&&(i="array");var s,l=r("categoryorder",i);"array"===l&&(s=r("categoryarray")),o||"array"!==l||(l=e.categoryorder="trace"),"trace"===l?e._initialCategories=[]:"array"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,i,a=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[a+"axis"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][a];for(i=0;i<l.length;i++){var c=l[i];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),"category ascending"===l?e._initialCategories=s:"category descending"===l&&(e._initialCategories=s.reverse()))}}},{}],804:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical"),o=a.ONEDAY,s=a.ONEWEEK;r.dtick=function(t,e){var r="log"===e,i="date"===e,a="category"===e,s=i?o:1;if(!t)return s;if(n(t))return(t=Number(t))<=0?s:a?Math.max(1,Math.round(t)):i?Math.max(.1,t):t;if("string"!=typeof t||!i&&!r)return s;var l=t.charAt(0),c=t.substr(1);return(c=n(c)?Number(c):0)<=0||!(i&&"M"===l&&c===Math.round(c)||r&&"L"===l||r&&"D"===l&&(1===c||2===c))?s:t},r.tick0=function(t,e,r,a){return"date"===e?i.cleanDate(t,i.dateTick0(r,a%s==0?1:0)):"D1"!==a&&"D2"!==a?n(t)?Number(t):0:void 0}},{"../../constants/numerical":725,"../../lib":750,"fast-isnumeric":241}],805:[function(t,e,r){"use strict";var n=t("../../lib/regex").counter;e.exports={idRegex:{x:n("x","( domain)?"),y:n("y","( domain)?")},attrRegex:n("[xy]axis"),xAxisMatch:n("xaxis"),yAxisMatch:n("yaxis"),AX_ID_PATTERN:/^[xyz][0-9]*( domain)?$/,AX_NAME_PATTERN:/^[xyz]axis[0-9]*$/,SUBPLOT_PATTERN:/^x([0-9]*)y([0-9]*)$/,HOUR_PATTERN:"hour",WEEKDAY_PATTERN:"day of week",MINDRAG:8,MINSELECT:12,MINZOOM:20,DRAGGERSIZE:20,BENDPX:1.5,REDRAWDELAY:50,SELECTDELAY:100,SELECTID:"-select",DFLTRANGEX:[-1,6],DFLTRANGEY:[-1,4],traceLayerClasses:["imagelayer","heatmaplayer","contourcarpetlayer","contourlayer","funnellayer","waterfalllayer","barlayer","carpetlayer","violinlayer","boxlayer","ohlclayer","scattercarpetlayer","scatterlayer"],clipOnAxisFalseQuery:[".scatterlayer",".barlayer",".funnellayer",".waterfalllayer"],layerValue2layerClass:{"above traces":"above","below traces":"below"}}},{"../../lib/regex":766}],806:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./axis_ids").id2name,a=t("./scale_zoom"),o=t("./autorange").makePadFn,s=t("./autorange").concatExtremes,l=t("../../constants/numerical").ALMOST_EQUAL,c=t("../../constants/alignment").FROM_BL;function u(t,e,r,n,a){var o,s,l,c,u="range"!==a,h=n[i(e)].type,f=[];for(s=0;s<r.length;s++)if((l=r[s])!==e&&(c=n[i(l)]).type===h)if(c.fixedrange){if(u&&c.anchor){n[i(c.anchor)].fixedrange&&f.push(l)}}else f.push(l);for(o=0;o<t.length;o++)if(t[o][e]){var p=t[o],d=[];for(s=0;s<f.length;s++)p[l=f[s]]||d.push(l);return{linkableAxes:d,thisGroup:p}}return{linkableAxes:f,thisGroup:null}}function h(t,e,r,n,i){var a,o,s,l,c;null===e?((e={})[r]=1,c=t.length,t.push(e)):c=t.indexOf(e);var u=Object.keys(e);for(a=0;a<t.length;a++)if(s=t[a],a!==c&&s[n]){var h=s[n];for(o=0;o<u.length;o++)s[l=u[o]]=h*i*e[l];return void t.splice(c,1)}if(1!==i)for(o=0;o<u.length;o++)e[u[o]]*=i;e[n]=1}function f(t,e){var r=t._inputDomain,n=c[t.constraintoward],i=r[0]+(r[1]-r[0])*n;t.domain=t._input.domain=[i+(r[0]-i)/e,i+(r[1]-i)/e],t.setScale()}r.handleConstraintDefaults=function(t,e,r,i){var a,o,s,l,c=i.allAxisIds,f=i.layoutOut,p=i.scaleanchorDflt,d=i.constrainDflt,g=f._axisConstraintGroups,m=f._axisMatchGroups,v=e._id,y=v.charAt(0),x=((f._splomAxes||{})[y]||{})[v]||{},b=e._id,_=b.charAt(0),w=r("constrain",d);if(n.coerce(t,e,{constraintoward:{valType:"enumerated",values:"x"===_?["left","center","right"]:["bottom","middle","top"],dflt:"x"===_?"center":"middle"}},"constraintoward"),!t.matches&&!x.matches||e.fixedrange||(o=u(m,b,c,f),a=n.coerce(t,e,{matches:{valType:"enumerated",values:o.linkableAxes||[],dflt:x.matches}},"matches")),a||e.fixedrange&&"domain"!==w||!t.scaleanchor&&!p||(l=u(g,b,c,f,w),s=n.coerce(t,e,{scaleanchor:{valType:"enumerated",values:l.linkableAxes||[]}},"scaleanchor",p)),a?(delete e.constrain,h(m,o.thisGroup,b,a,1)):-1!==c.indexOf(t.matches)&&n.warn("ignored "+e._name+'.matches: "'+t.matches+'" to avoid either an infinite loop or because the target axis has fixed range.'),s){var T=r("scaleratio");T||(T=e.scaleratio=1),h(g,l.thisGroup,b,s,T)}else-1!==c.indexOf(t.scaleanchor)&&n.warn("ignored "+e._name+'.scaleanchor: "'+t.scaleanchor+'" to avoid either an infinite loop and possibly inconsistent scaleratios, or because the target axis has fixed range or this axis declares a *matches* constraint.')},r.enforce=function(t){var e,r,n,c,u,h,p,d=t._fullLayout,g=d._axisConstraintGroups||[];for(e=0;e<g.length;e++){var m=g[e],v=Object.keys(m),y=1/0,x=0,b=1/0,_={},w={},T=!1;for(r=0;r<v.length;r++)w[n=v[r]]=c=d[i(n)],c._inputDomain?c.domain=c._inputDomain.slice():c._inputDomain=c.domain.slice(),c._inputRange||(c._inputRange=c.range.slice()),c.setScale(),_[n]=u=Math.abs(c._m)/m[n],y=Math.min(y,u),"domain"!==c.constrain&&c._constraintShrinkable||(b=Math.min(b,u)),delete c._constraintShrinkable,x=Math.max(x,u),"domain"===c.constrain&&(T=!0);if(!(y>l*x)||T)for(r=0;r<v.length;r++)if(u=_[n=v[r]],h=(c=w[n]).constrain,u!==b||"domain"===h)if(p=u/b,"range"===h)a(c,p);else{var k=c._inputDomain,M=(c.domain[1]-c.domain[0])/(k[1]-k[0]),A=(c.r2l(c.range[1])-c.r2l(c.range[0]))/(c.r2l(c._inputRange[1])-c.r2l(c._inputRange[0]));if((p/=M)*A<1){c.domain=c._input.domain=k.slice(),a(c,p);continue}if(A<1&&(c.range=c._input.range=c._inputRange.slice(),p*=A),c.autorange){var S=c.r2l(c.range[0]),E=c.r2l(c.range[1]),C=(S+E)/2,L=C,P=C,I=Math.abs(E-C),z=C-I*p*1.0001,O=C+I*p*1.0001,D=o(c);f(c,p);var R,F,B=Math.abs(c._m),N=s(t,c),j=N.min,U=N.max;for(F=0;F<j.length;F++)(R=j[F].val-D(j[F])/B)>z&&R<L&&(L=R);for(F=0;F<U.length;F++)(R=U[F].val+D(U[F])/B)<O&&R>P&&(P=R);p/=(P-L)/(2*I),L=c.l2r(L),P=c.l2r(P),c.range=c._input.range=S<E?[L,P]:[P,L]}f(c,p)}}},r.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&"domain"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},{"../../constants/alignment":717,"../../constants/numerical":725,"../../lib":750,"./autorange":798,"./axis_ids":802,"./scale_zoom":817}],807:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("has-passive-events"),o=t("../../registry"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("../../components/color"),u=t("../../components/drawing"),h=t("../../components/fx"),f=t("./axes"),p=t("../../lib/setcursor"),d=t("../../components/dragelement"),g=t("../../components/dragelement/helpers"),m=g.selectingOrDrawing,v=g.freeMode,y=t("../../constants/alignment").FROM_TL,x=t("../../lib/clear_gl_canvases"),b=t("../../plot_api/subroutines").redrawReglTraces,_=t("../plots"),w=t("./axis_ids").getFromId,T=t("./select").prepSelect,k=t("./select").clearSelect,M=t("./select").selectOnClick,A=t("./scale_zoom"),S=t("./constants"),E=S.MINDRAG,C=S.MINZOOM,L=!0;function P(t,e,r,n){var i=s.ensureSingle(t.draglayer,e,r,(function(e){e.classed("drag",!0).style({fill:"transparent","stroke-width":0}).attr("data-subplot",t.id)}));return i.call(p,n),i.node()}function I(t,e,r,i,a,o,s){var l=P(t,"rect",e,r);return n.select(l).call(u.setRect,i,a,o,s),l}function z(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return""}function O(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var s="y"===o._id.charAt(0),l=s?1-e:e,c=s?1-r:r;n[o._name+".range[0]"]=o.l2r(o.p2l(l*o._length)),n[o._name+".range[1]"]=o.l2r(o.p2l(c*o._length))}else{var u=o._rl[0],h=o._rl[1]-u;n[o._name+".range[0]"]=o.l2r(u+h*e),n[o._name+".range[1]"]=o.l2r(u+h*r)}}if(i&&i.length){var f=(e+(1-r))/2;O(i,f,1-f,n,[])}}function D(t,e){for(var r=0;r<t.length;r++){var n=t[r];if(!n.fixedrange)if(n.rangebreaks){var i=n._length,a=(n.p2l(0+e)-n.p2l(0)+(n.p2l(i+e)-n.p2l(i)))/2;n.range=[n.l2r(n._rl[0]-a),n.l2r(n._rl[1]-a)]}else n.range=[n.l2r(n._rl[0]-e/n._m),n.l2r(n._rl[1]-e/n._m)]}}function R(t){return 1-(t>=0?Math.min(t,.9):1/(1/Math.max(t,-.3)+3.222))}function F(t,e,r,n,i){return t.append("path").attr("class","zoombox").style({fill:e>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("transform","translate("+r+", "+n+")").attr("d",i+"Z")}function B(t,e,r){return t.append("path").attr("class","zoombox-corners").style({fill:c.background,stroke:c.defaultLine,"stroke-width":1,opacity:0}).attr("transform","translate("+e+", "+r+")").attr("d","M0,0Z")}function N(t,e,r,n,i,a){t.attr("d",n+"M"+r.l+","+r.t+"v"+r.h+"h"+r.w+"v-"+r.h+"h-"+r.w+"Z"),j(t,e,i,a)}function j(t,e,r,n){r||(t.transition().style("fill",n>.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),e.transition().style("opacity",1).duration(200))}function U(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}function V(t){L&&t.data&&t._context.showTips&&(s.notifier(s._(t,"Double-click to zoom back out"),"long"),L=!1)}function q(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,C)/2);return"M"+(t.l-3.5)+","+(t.t-.5+e)+"h3v"+-e+"h"+e+"v-3h-"+(e+3)+"ZM"+(t.r+3.5)+","+(t.t-.5+e)+"h-3v"+-e+"h"+-e+"v-3h"+(e+3)+"ZM"+(t.r+3.5)+","+(t.b+.5-e)+"h-3v"+e+"h"+-e+"v3h"+(e+3)+"ZM"+(t.l-3.5)+","+(t.b+.5-e)+"h3v"+e+"h"+e+"v3h-"+(e+3)+"Z"}function H(t,e,r,n){for(var i,a,o,l,c=!1,u={},h={},f=0;f<e.length;f++){var p=e[f];for(i in r)if(p[i]){for(o in p)("x"===o.charAt(0)?r:n)[o]||(u[o]=i);for(a in n)p[a]&&(c=!0)}for(a in n)if(p[a])for(l in p)("x"===l.charAt(0)?r:n)[l]||(h[l]=a)}c&&(s.extendFlat(u,h),h={});var d={},g=[];for(o in u){var m=w(t,o);g.push(m),d[m._id]=m}var v={},y=[];for(l in h){var x=w(t,l);y.push(x),v[x._id]=x}return{xaHash:d,yaHash:v,xaxes:g,yaxes:y,xLinks:u,yLinks:h,isSubplotConstrained:c}}function G(t,e){if(a){var r=void 0!==t.onwheel?"wheel":"mousewheel";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener("wheel",e,{passive:!1}))}function Y(t){var e=[];for(var r in t)e.push(t[r]);return e}e.exports={makeDragBox:function(t,e,r,a,c,p,g,L){var P,j,W,Z,X,J,K,Q,$,tt,et,rt,nt,it,at,ot,st,lt,ct,ut,ht,ft=t._fullLayout._zoomlayer,pt=g+L==="nsew",dt=1===(g+L).length;function gt(){if(P=e.xaxis,j=e.yaxis,$=P._length,tt=j._length,K=P._offset,Q=j._offset,(W={})[P._id]=P,(Z={})[j._id]=j,g&&L)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;W[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}X=Y(W),J=Y(Z),nt=z(X,L),it=z(J,g),at=!it&&!nt,et=H(t,t._fullLayout._axisConstraintGroups,W,Z),rt=H(t,t._fullLayout._axisMatchGroups,W,Z),ot=L||et.isSubplotConstrained||rt.isSubplotConstrained,st=g||et.isSubplotConstrained||rt.isSubplotConstrained;var o=t._fullLayout;lt=o._has("scattergl"),ct=o._has("splom"),ut=o._has("svg")}gt();var mt=function(t,e,r){if(!t)return"pointer";if("nsew"===t)return r?"":"pan"===e?"move":"crosshair";return t.toLowerCase()+"-resize"}(it+nt,t._fullLayout.dragmode,pt),vt=I(e,g+L+"drag",mt,r,a,c,p);if(at&&!pt)return vt.onmousedown=null,vt.style.pointerEvents="none",vt;var yt,xt,bt,_t,wt,Tt,kt,Mt,At,St,Et={element:vt,gd:t,plotinfo:e};function Ct(){Et.plotinfo.selection=!1,k(t)}function Lt(t,r){var i=Et.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var a=i._fullLayout.clickmode;if(U(i),2!==t||dt||Ut(),pt)a.indexOf("select")>-1&&M(r,i,X,J,e.id,Et),a.indexOf("event")>-1&&h.click(i,r,e.id);else if(1===t&&dt){var s=g?j:P,c="s"===g||"w"===L?0:1,u=s._name+".range["+c+"]",f=function(t,e){var r,i=t.range[e],a=Math.abs(i-t.range[1-e]);return"date"===t.type?i:"log"===t.type?(r=Math.ceil(Math.max(0,-Math.log(a)/Math.LN10))+3,n.format("."+r+"g")(Math.pow(10,i))):(r=Math.floor(Math.log(Math.abs(i))/Math.LN10)-Math.floor(Math.log(a)/Math.LN10)+4,n.format("."+String(r)+"g")(i))}(s,c),p="left",d="middle";if(s.fixedrange)return;g?(d="n"===g?"top":"bottom","right"===s.side&&(p="right")):"e"===L&&(p="right"),i._context.showAxisRangeEntryBoxes&&n.select(vt).call(l.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(f),fill:s.tickfont?s.tickfont.color:"#444",horizontalAlign:p,verticalAlign:d}).on("edit",(function(t){var e=s.d2r(t);void 0!==e&&o.call("_guiRelayout",i,u,e)}))}}}function Pt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min($,e+yt)),i=Math.max(0,Math.min(tt,r+xt)),a=Math.abs(n-yt),o=Math.abs(i-xt);function s(){kt="",bt.r=bt.l,bt.t=bt.b,At.attr("d","M0,0Z")}if(bt.l=Math.min(yt,n),bt.r=Math.max(yt,n),bt.t=Math.min(xt,i),bt.b=Math.max(xt,i),et.isSubplotConstrained)a>C||o>C?(kt="xy",a/$>o/tt?(o=a*tt/$,xt>i?bt.t=xt-o:bt.b=xt+o):(a=o*$/tt,yt>n?bt.l=yt-a:bt.r=yt+a),At.attr("d",q(bt))):s();else if(rt.isSubplotConstrained)if(a>C||o>C){kt="xy";var l=Math.min(bt.l/$,(tt-bt.b)/tt),c=Math.max(bt.r/$,(tt-bt.t)/tt);bt.l=l*$,bt.r=c*$,bt.b=(1-l)*tt,bt.t=(1-c)*tt,At.attr("d",q(bt))}else s();else!it||o<Math.min(Math.max(.6*a,E),C)?a<E||!nt?s():(bt.t=0,bt.b=tt,kt="x",At.attr("d",function(t,e){return"M"+(t.l-.5)+","+(e-C-.5)+"h-3v"+(2*C+1)+"h3ZM"+(t.r+.5)+","+(e-C-.5)+"h3v"+(2*C+1)+"h-3Z"}(bt,xt))):!nt||a<Math.min(.6*o,C)?(bt.l=0,bt.r=$,kt="y",At.attr("d",function(t,e){return"M"+(e-C-.5)+","+(t.t-.5)+"v-3h"+(2*C+1)+"v3ZM"+(e-C-.5)+","+(t.b+.5)+"v3h"+(2*C+1)+"v-3Z"}(bt,yt))):(kt="xy",At.attr("d",q(bt)));bt.w=bt.r-bt.l,bt.h=bt.b-bt.t,kt&&(St=!0),t._dragged=St,N(Mt,At,bt,wt,Tt,_t),It(),t.emit("plotly_relayouting",ht),Tt=!0}function It(){ht={},"xy"!==kt&&"x"!==kt||(O(X,bt.l/$,bt.r/$,ht,et.xaxes),Nt("x",ht)),"xy"!==kt&&"y"!==kt||(O(J,(tt-bt.b)/tt,(tt-bt.t)/tt,ht,et.yaxes),Nt("y",ht))}function zt(){It(),U(t),Vt(),V(t)}Et.prepFn=function(e,r,n){var a=Et.dragmode,o=t._fullLayout.dragmode;o!==a&&(Et.dragmode=o),gt(),at||(pt?e.shiftKey?"pan"===o?o="zoom":m(o)||(o="pan"):e.ctrlKey&&(o="pan"):o="pan"),v(o)?Et.minDrag=1:Et.minDrag=void 0,m(o)?(Et.xaxes=X,Et.yaxes=J,T(e,r,n,Et,o)):(Et.clickFn=Lt,m(a)&&Ct(),at||("zoom"===o?(Et.moveFn=Pt,Et.doneFn=zt,Et.minDrag=1,function(e,r,n){var a=vt.getBoundingClientRect();yt=r-a.left,xt=n-a.top,bt={l:yt,r:yt,w:0,t:xt,b:xt,h:0},_t=t._hmpixcount?t._hmlumcount/t._hmpixcount:i(t._fullLayout.plot_bgcolor).getLuminance(),Tt=!1,kt="xy",St=!1,Mt=F(ft,_t,K,Q,wt="M0,0H"+$+"V"+tt+"H0V0"),At=B(ft,K,Q)}(0,r,n)):"pan"===o&&(Et.moveFn=Bt,Et.doneFn=Vt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===vt){var r=t._fullLayout.dragmode;m(r)||(gt(),qt([0,0,$,tt]),Et.moveFn(e.dx,e.dy))}}},d.init(Et);var Ot=[0,0,$,tt],Dt=null,Rt=S.REDRAWDELAY,Ft=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Bt(e,r){if(!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,"ew"===nt||"ns"===it)return nt&&(D(X,e),Nt("x")),it&&(D(J,r),Nt("y")),qt([nt?-e:0,it?-r:0,$,tt]),jt(),void t.emit("plotly_relayouting",ht);if(et.isSubplotConstrained&&nt&&it){var n="w"===nt==("n"===it)?1:-1,i=(e/$+n*r/tt)/2;e=i*$,r=n*i*tt}"w"===nt?e=l(X,0,e):"e"===nt?e=l(X,1,-e):nt||(e=0),"n"===it?r=l(J,1,r):"s"===it?r=l(J,0,-r):it||(r=0);var a="w"===nt?e:0,o="n"===it?r:0;if(et.isSubplotConstrained){var s;if(!nt&&1===it.length){for(s=0;s<X.length;s++)X[s].range=X[s]._r.slice(),A(X[s],1-r/tt);a=(e=r*$/tt)/2}if(!it&&1===nt.length){for(s=0;s<J.length;s++)J[s].range=J[s]._r.slice(),A(J[s],1-e/$);o=(r=e*tt/$)/2}}Nt("x"),Nt("y"),qt([a,o,$-e,tt-r]),jt(),t.emit("plotly_relayouting",ht)}function l(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/R(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Nt(t,e){for(var r=rt.isSubplotConstrained?{x:J,y:X}[t]:rt[t+"axes"],n=rt.isSubplotConstrained?{x:X,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=rt.xLinks[o]||rt.yLinks[o],l=n[0]||W[s]||Z[s];l&&(e?(e[a._name+".range[0]"]=e[l._name+".range[0]"],e[a._name+".range[1]"]=e[l._name+".range[1]"]):a.range=l.range.slice())}}function jt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(ot&&(n(X),n(et.xaxes),n(rt.xaxes)),st&&(n(J),n(et.yaxes),n(rt.yaxes)),ht={},e=0;e<r.length;e++){var i=r[e],a=w(t,i);f.drawOne(t,a,{skipTitle:!0}),ht[a._name+".range[0]"]=a.range[0],ht[a._name+".range[1]"]=a.range[1]}f.redrawComponents(t,r)}function Ut(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];nt&&(r=r.concat(X)),it&&(r=r.concat(J)),rt.xaxes&&(r=r.concat(rt.xaxes)),rt.yaxes&&(r=r.concat(rt.yaxes));var n,i,a,s={};if("reset+autosize"===e)for(e="autosize",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e="reset";break}if("autosize"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(s[n._name+".autorange"]=!0);else if("reset"===e)for((nt||et.isSubplotConstrained)&&(r=r.concat(et.xaxes)),it&&!et.isSubplotConstrained&&(r=r.concat(et.yaxes)),et.isSubplotConstrained&&(nt?it||(r=r.concat(J)):r=r.concat(X)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,s[n._name+".range[0]"]=a[0],s[n._name+".range[1]"]=a[1]):s[n._name+".autorange"]=!0);t.emit("plotly_doubleclick",null),o.call("_guiRelayout",t,s)}}function Vt(){qt([0,0,$,tt]),s.syncOrAsync([_.previousPromises,function(){t._fullLayout._replotting=!1,o.call("_guiRelayout",t,ht)}],t)}function qt(e){var r,n,i,a,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(i=(n=c[h[r]]).xaxis,a=n.yaxis,n._scene){var f=s.simpleMap(i.range,i.r2l),p=s.simpleMap(a.range,a.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){i=(n=c[h[r]]).xaxis,a=n.yaxis;var v,y,_,w,T=ot&&!i.fixedrange&&W[i._id],k=st&&!a.fixedrange&&Z[a._id];if(T?(v=d,_=L?e[0]:Yt(i,v)):rt.xaHash[i._id]?(v=d,_=e[0]*i._length/P._length):rt.yaHash[i._id]?(v=m,_="ns"===it?-e[1]*i._length/j._length:Yt(i,v,{n:"top",s:"bottom"}[it])):_=Gt(i,v=Ht(i,d,m)),k?(y=m,w=g?e[1]:Yt(a,y)):rt.yaHash[a._id]?(y=m,w=e[1]*a._length/j._length):rt.xaHash[a._id]?(y=d,w="ew"===nt?-e[0]*a._length/P._length:Yt(a,y,{e:"right",w:"left"}[nt])):w=Gt(a,y=Ht(a,d,m)),v||y){v||(v=1),y||(y=1);var M=i._offset-_/v,A=a._offset-w/y;n.clipRect.call(u.setTranslate,_,w).call(u.setScale,v,y),n.plot.call(u.setTranslate,M,A).call(u.setScale,1/v,1/y),v===n.xScaleFactor&&y===n.yScaleFactor||(u.setPointGroupScale(n.zoomScalePts,v,y),u.setTextPointsScale(n.zoomScaleTxt,v,y)),u.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=v,n.yScaleFactor=y}}}}function Ht(t,e,r){return t.fixedrange?0:ot&&et.xaHash[t._id]?e:st&&(et.isSubplotConstrained?et.xaHash:et.yaHash)[t._id]?r:0}function Gt(t,e){return e?(t.range=t._r.slice(),A(t,e),Yt(t,e)):0}function Yt(t,e,r){return t._length*(1-e)*y[r||t.constraintoward||"middle"]}return g.length*L.length!=1&&G(vt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ct(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();gt(),clearTimeout(Dt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,i=Math.exp(-Math.min(Math.max(r,-20),20)/200),a=Ft.draglayer.select(".nsewdrag").node().getBoundingClientRect(),o=(e.clientX-a.left)/a.width,l=(a.bottom-e.clientY)/a.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,i);Nt("x"),Ot[2]*=i,Ot[0]+=Ot[2]*o*(1/i-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,i);Nt("y"),Ot[3]*=i,Ot[1]+=Ot[3]*(1-l)*(1/i-1)}qt(Ot),jt(),t.emit("plotly_relayouting",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log("Did not find wheel motion attributes: ",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),i=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(i+(e-i)*r)}))}}})),vt},makeDragger:P,makeRectDragger:I,makeZoombox:F,makeCorners:B,updateZoombox:N,xyCorners:q,transitionZoombox:j,removeZoombox:U,showDoubleClickNotifier:V,attachWheelEventHandler:G}},{"../../components/color":615,"../../components/dragelement":634,"../../components/dragelement/helpers":633,"../../components/drawing":637,"../../components/fx":655,"../../constants/alignment":717,"../../lib":750,"../../lib/clear_gl_canvases":734,"../../lib/setcursor":770,"../../lib/svg_text_utils":774,"../../plot_api/subroutines":789,"../../registry":882,"../plots":862,"./axes":799,"./axis_ids":802,"./constants":805,"./scale_zoom":817,"./select":818,d3:169,"has-passive-events":415,tinycolor2:548}],808:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/fx"),a=t("../../components/dragelement"),o=t("../../lib/setcursor"),s=t("./dragbox").makeDragBox,l=t("./constants").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(".drag").remove();else if(e._has("cartesian")||e._has("splom")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split("y"),i=r.split("y");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,"ns","ew");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,"n","w"),s(t,n,o._offset+o._length,c._offset-l,l,l,"n","e"),s(t,n,o._offset-l,c._offset+c._length,l,l,"s","w"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,"s","e"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;"top"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,"","ew"),s(t,n,o._offset,h,.1*o._length,l,"","w"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,"","e")}if(r===c._mainSubplot){var f=c._mainLinePosition;"right"!==c.side&&(f-=l),s(t,n,f,c._offset+.1*c._length,l,.8*c._length,"ns",""),s(t,n,f,c._offset+.9*c._length,l,.1*c._length,"s",""),s(t,n,f,c._offset,l,.1*c._length,"n","")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r="pan"===e.dragmode?"move":"crosshair";o(e._draggers,r)}},{"../../components/dragelement":634,"../../components/fx":655,"../../lib/setcursor":770,"./constants":805,"./dragbox":807,d3:169}],809:[function(t,e,r){"use strict";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".outline-controllers").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(".select-outline").remove(),t._fullLayout._drawing=!1}}},{}],810:[function(t,e,r){"use strict";function n(t,e){switch(t.type){case"log":return t.p2d(e);case"date":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case"log":return t.d2p(e);case"date":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e="y"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return"translate("+t.xaxis._offset+","+t.yaxis._offset+")"}}},{}],811:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./axis_ids");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,h=c.yaxis,f=c.cartesian,p=r._has("cartesian")||r._has("gl2d"),d=0;d<o.length;d++){var g=o[d];if(i.isPlainObject(g)){var m=a.cleanId(g.xref,"x",!1),v=a.cleanId(g.yref,"y",!1),y=l.x.test(m),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(m)&&(u.push(m),b=!0),x&&-1===h.indexOf(v)&&(h.push(v),b=!0),b&&y&&x&&f.push(m+v)}}}}}},{"../../lib":750,"../../registry":882,"./axis_ids":802}],812:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../lib"),o=t("../plots"),s=t("../../components/drawing"),l=t("../get_data").getModuleCalcData,c=t("./axis_ids"),u=t("./constants"),h=t("../../constants/xmlns_namespaces"),f=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,h,f,p=u.traceLayerClasses,d=t._fullLayout,g=d._modules,m=[],v=[],y=0;y<g.length;y++){var x=(c=g[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+"layer",w=c.plot;f=(h=l(r,w))[0],r=h[1],f.length&&m.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:f}),b.zoomScale&&v.push("."+_)}}m.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll("g.mlayer").data(m,(function(t){return t.className}));if(T.enter().append("g").attr("class",(function(t){return t.className})).classed("mlayer",!0).classed("rangeplot",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf("."+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has("scattergl")&&(c=i.getModule("scattergl"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(",")).selectAll(".trace")),v.length)){var k=e.plot.selectAll(v.join(",")).selectAll(".trace");e.zoomScalePts=k.selectAll("path.point"),e.zoomScaleTxt=k.selectAll(".textpoint")}}function g(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+"-x",d=n+"-y";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,"path",h),f(s.overlinesBelow,"path",d),f(s.overaxesBelow,"g",h),f(s.overaxesBelow,"g",d),e.plot=f(s.overplot,"g",n),f(s.overlinesAbove,"path",h),f(s.overlinesAbove,"path",d),f(s.overaxesAbove,"g",h),f(s.overaxesAbove,"g",d),e.xlines=l.select(".overlines-"+i).select("."+h),e.ylines=l.select(".overlines-"+a).select("."+d),e.xaxislayer=l.select(".overaxes-"+i).select("."+h),e.yaxislayer=l.select(".overaxes-"+a).select("."+d)}else if(o)e.xlines=f(r,"path","xlines-above"),e.ylines=f(r,"path","ylines-above"),e.xaxislayer=f(r,"g","xaxislayer-above"),e.yaxislayer=f(r,"g","yaxislayer-above");else{var g=f(r,"g","layer-subplot");e.shapelayer=f(g,"g","shapelayer"),e.imagelayer=f(g,"g","imagelayer"),e.gridlayer=f(r,"g","gridlayer"),e.zerolinelayer=f(r,"g","zerolinelayer"),f(r,"path","xlines-below"),f(r,"path","ylines-below"),e.overlinesBelow=f(r,"g","overlines-below"),f(r,"g","xaxislayer-below"),f(r,"g","yaxislayer-below"),e.overaxesBelow=f(r,"g","overaxes-below"),e.plot=f(r,"g","plot"),e.overplot=f(r,"g","overplot"),e.xlines=f(r,"path","xlines-above"),e.ylines=f(r,"path","ylines-above"),e.overlinesAbove=f(r,"g","overlines-above"),f(r,"g","xaxislayer-above"),f(r,"g","yaxislayer-above"),e.overaxesAbove=f(r,"g","overaxes-above"),e.xlines=r.select(".xlines-"+i),e.ylines=r.select(".ylines-"+a),e.xaxislayer=r.select(".xaxislayer-"+i),e.yaxislayer=r.select(".yaxislayer-"+a)}o||(p(e.gridlayer,"g",e.xaxis._id),p(e.gridlayer,"g",e.yaxis._id),e.gridlayer.selectAll("g").map((function(t){return t[0]})).sort(c.idSort)),e.xlines.style("fill","none").classed("crisp",!0),e.ylines.style("fill","none").classed("crisp",!0)}function m(t,e){if(t){var r={};for(var i in t.each((function(t){var i=t[0];n.select(this).remove(),v(i,e),r[i]=!0})),e._plots)for(var a=e._plots[i].overlays||[],o=0;o<a.length;o++){var s=a[o];r[s.id]&&s.plot.selectAll(".trace").remove()}}}function v(t,e){e._draggers.selectAll("g."+t).remove(),e._defs.select("#clip"+e._uid+t+"plot").remove()}r.name="cartesian",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=u.idRegex,r.attrRegex=u.attrRegex,r.attributes=t("./attributes"),r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.transitionAxes=t("./transition_axes"),r.finalizeSubplots=function(t,e){var r,n,i,o=e._subplots,s=o.xaxis,l=o.yaxis,h=o.cartesian,f=h.concat(o.gl2d||[]),p={},d={};for(r=0;r<f.length;r++){var g=f[r].split("y");p[g[0]]=1,d["y"+g[1]]=1}for(r=0;r<s.length;r++)p[n=s[r]]||(i=(t[c.id2name(n)]||{}).anchor,u.idRegex.y.test(i)||(i="y"),h.push(n+i),f.push(n+i),d[i]||(d[i]=1,a.pushUnique(l,i)));for(r=0;r<l.length;r++)d[i=l[r]]||(n=(t[c.id2name(i)]||{}).anchor,u.idRegex.x.test(n)||(n="x"),h.push(n+i),f.push(n+i),p[n]||(p[n]=1,a.pushUnique(s,n)));if(!f.length){for(var m in n="",i="",t){if(u.attrRegex.test(m))"x"===m.charAt(0)?(!n||+m.substr(5)<+n.substr(5))&&(n=m):(!i||+m.substr(5)<+i.substr(5))&&(i=m)}n=n?c.name2id(n):"x",i=i?c.name2id(i):"y",s.push(n),l.push(i),h.push(n+i)}},r.plot=function(t,e,r,n){var i,a=t._fullLayout,o=a._subplots.cartesian,s=t.calcdata;if(!Array.isArray(e))for(e=[],i=0;i<s.length;i++)e.push(i);for(i=0;i<o.length;i++){for(var l,c=o[i],u=a._plots[c],h=[],f=0;f<s.length;f++){var p=s[f],g=p[0].trace;g.xaxis+g.yaxis===c&&((-1!==e.indexOf(g.index)||g.carpet)&&(l&&l[0].trace.xaxis+l[0].trace.yaxis===c&&-1!==["tonextx","tonexty","tonext"].indexOf(g.fill)&&-1===h.indexOf(l)&&h.push(l),h.push(p)),l=p)}d(t,u,h,r,n)}},r.clean=function(t,e,r,n){var i,a,o,s=n._plots||{},l=e._plots||{},u=n._subplots||{};if(n._hasOnlyLargeSploms&&!e._hasOnlyLargeSploms)for(o in s)(i=s[o]).plotgroup&&i.plotgroup.remove();var h=n._has&&n._has("gl"),f=e._has&&e._has("gl");if(h&&!f)for(o in s)(i=s[o])._scene&&i._scene.destroy();if(u.xaxis&&u.yaxis){var p=c.listIds({_fullLayout:n});for(a=0;a<p.length;a++){var d=p[a];e[c.id2name(d)]||n._infolayer.selectAll(".g-"+d+"title").remove()}}var g=n._has&&n._has("cartesian"),y=e._has&&e._has("cartesian");if(g&&!y)m(n._cartesianlayer.selectAll(".subplot"),n),n._defs.selectAll(".axesclip").remove(),delete n._axisConstraintGroups;else if(u.cartesian)for(a=0;a<u.cartesian.length;a++){var x=u.cartesian[a];if(!l[x]){var b="."+x+",."+x+"-x,."+x+"-y";n._cartesianlayer.selectAll(b).remove(),v(x,n)}}},r.drawFramework=function(t){var e=t._fullLayout,r=function(t){var e,r,n,i,a,o,s=t._fullLayout,l=s._subplots.cartesian,c=l.length,u=[],h=[];for(e=0;e<c;e++){n=l[e],i=s._plots[n],a=i.xaxis,o=i.yaxis;var f=a._mainAxis,p=o._mainAxis,d=f._id+p._id,g=s._plots[d];i.overlays=[],d!==n&&g?(i.mainplot=d,i.mainplotinfo=g,h.push(n)):(i.mainplot=void 0,i.mainplotinfo=void 0,u.push(n))}for(e=0;e<h.length;e++)n=h[e],(i=s._plots[n]).mainplotinfo.overlays.push(i);var m=u.concat(h),v=new Array(c);for(e=0;e<c;e++){n=m[e],i=s._plots[n],a=i.xaxis,o=i.yaxis;var y=[n,a.layer,o.layer,a.overlaying||"",o.overlaying||""];for(r=0;r<i.overlays.length;r++)y.push(i.overlays[r].id);v[e]=y}return v}(t),i=e._cartesianlayer.selectAll(".subplot").data(r,String);i.enter().append("g").attr("class",(function(t){return"subplot "+t[0]})),i.order(),i.exit().call(m,e),i.each((function(r){var i=r[0],a=e._plots[i];a.plotgroup=n.select(this),g(t,a),a.draglayer=f(e._draggers,"g",i)}))},r.rangePlot=function(t,e,r){g(t,e),d(t,e,r),o.style(t)},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:h.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.width,height:this.height})}))},r.updateFx=t("./graph_interact").updateFx},{"../../components/drawing":637,"../../constants/xmlns_namespaces":726,"../../lib":750,"../../registry":882,"../get_data":836,"../plots":862,"./attributes":797,"./axis_ids":802,"./constants":805,"./graph_interact":808,"./layout_attributes":813,"./layout_defaults":814,"./transition_axes":823,d3:169}],813:[function(t,e,r){"use strict";var n=t("../font_attributes"),i=t("../../components/color/attributes"),a=t("../../components/drawing/attributes").dash,o=t("../../lib/extend").extendFlat,s=t("../../plot_api/plot_template").templatedArray,l=(t("../../constants/docs").FORMAT_LINK,t("../../constants/docs").DATE_FORMAT_LINK,t("../../constants/numerical").ONEDAY),c=t("./constants"),u=c.HOUR_PATTERN,h=c.WEEKDAY_PATTERN;e.exports={visible:{valType:"boolean",editType:"plot"},color:{valType:"color",dflt:i.defaultLine,editType:"ticks"},title:{text:{valType:"string",editType:"ticks"},font:n({editType:"ticks"}),standoff:{valType:"number",min:0,editType:"ticks"},editType:"ticks"},type:{valType:"enumerated",values:["-","linear","log","date","category","multicategory"],dflt:"-",editType:"calc",_noTemplating:!0},autorange:{valType:"enumerated",values:[!0,!1,"reversed"],dflt:!0,editType:"axrange",impliedEdits:{"range[0]":void 0,"range[1]":void 0}},rangemode:{valType:"enumerated",values:["normal","tozero","nonnegative"],dflt:"normal",editType:"plot"},range:{valType:"info_array",items:[{valType:"any",editType:"axrange",impliedEdits:{"^autorange":!1},anim:!0},{valType:"any",editType:"axrange",impliedEdits:{"^autorange":!1},anim:!0}],editType:"axrange",impliedEdits:{autorange:!1},anim:!0},fixedrange:{valType:"boolean",dflt:!1,editType:"calc"},scaleanchor:{valType:"enumerated",values:[c.idRegex.x.toString(),c.idRegex.y.toString()],editType:"plot"},scaleratio:{valType:"number",min:0,dflt:1,editType:"plot"},constrain:{valType:"enumerated",values:["range","domain"],dflt:"range",editType:"plot"},constraintoward:{valType:"enumerated",values:["left","center","right","top","middle","bottom"],editType:"plot"},matches:{valType:"enumerated",values:[c.idRegex.x.toString(),c.idRegex.y.toString()],editType:"calc"},rangebreaks:s("rangebreak",{enabled:{valType:"boolean",dflt:!0,editType:"calc"},bounds:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc"},pattern:{valType:"enumerated",values:[h,u,""],editType:"calc"},values:{valType:"info_array",freeLength:!0,editType:"calc",items:{valType:"any",editType:"calc"}},dvalue:{valType:"number",editType:"calc",min:0,dflt:l},editType:"calc"}),tickmode:{valType:"enumerated",values:["auto","linear","array"],editType:"ticks",impliedEdits:{tick0:void 0,dtick:void 0}},nticks:{valType:"integer",min:0,dflt:0,editType:"ticks"},tick0:{valType:"any",editType:"ticks",impliedEdits:{tickmode:"linear"}},dtick:{valType:"any",editType:"ticks",impliedEdits:{tickmode:"linear"}},tickvals:{valType:"data_array",editType:"ticks"},ticktext:{valType:"data_array",editType:"ticks"},ticks:{valType:"enumerated",values:["outside","inside",""],editType:"ticks"},tickson:{valType:"enumerated",values:["labels","boundaries"],dflt:"labels",editType:"ticks"},ticklabelmode:{valType:"enumerated",values:["instant","period"],dflt:"instant",editType:"ticks"},mirror:{valType:"enumerated",values:[!0,"ticks",!1,"all","allticks"],dflt:!1,editType:"ticks+layoutstyle"},ticklen:{valType:"number",min:0,dflt:5,editType:"ticks"},tickwidth:{valType:"number",min:0,dflt:1,editType:"ticks"},tickcolor:{valType:"color",dflt:i.defaultLine,editType:"ticks"},showticklabels:{valType:"boolean",dflt:!0,editType:"ticks"},automargin:{valType:"boolean",dflt:!1,editType:"ticks"},showspikes:{valType:"boolean",dflt:!1,editType:"modebar"},spikecolor:{valType:"color",dflt:null,editType:"none"},spikethickness:{valType:"number",dflt:3,editType:"none"},spikedash:o({},a,{dflt:"dash",editType:"none"}),spikemode:{valType:"flaglist",flags:["toaxis","across","marker"],dflt:"toaxis",editType:"none"},spikesnap:{valType:"enumerated",values:["data","cursor","hovered data"],dflt:"data",editType:"none"},tickfont:n({editType:"ticks"}),tickangle:{valType:"angle",dflt:"auto",editType:"ticks"},tickprefix:{valType:"string",dflt:"",editType:"ticks"},showtickprefix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"ticks"},ticksuffix:{valType:"string",dflt:"",editType:"ticks"},showticksuffix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"ticks"},showexponent:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"ticks"},exponentformat:{valType:"enumerated",values:["none","e","E","power","SI","B"],dflt:"B",editType:"ticks"},minexponent:{valType:"number",dflt:3,min:0,editType:"ticks"},separatethousands:{valType:"boolean",dflt:!1,editType:"ticks"},tickformat:{valType:"string",dflt:"",editType:"ticks"},tickformatstops:s("tickformatstop",{enabled:{valType:"boolean",dflt:!0,editType:"ticks"},dtickrange:{valType:"info_array",items:[{valType:"any",editType:"ticks"},{valType:"any",editType:"ticks"}],editType:"ticks"},value:{valType:"string",dflt:"",editType:"ticks"},editType:"ticks"}),hoverformat:{valType:"string",dflt:"",editType:"none"},showline:{valType:"boolean",dflt:!1,editType:"ticks+layoutstyle"},linecolor:{valType:"color",dflt:i.defaultLine,editType:"layoutstyle"},linewidth:{valType:"number",min:0,dflt:1,editType:"ticks+layoutstyle"},showgrid:{valType:"boolean",editType:"ticks"},gridcolor:{valType:"color",dflt:i.lightLine,editType:"ticks"},gridwidth:{valType:"number",min:0,dflt:1,editType:"ticks"},zeroline:{valType:"boolean",editType:"ticks"},zerolinecolor:{valType:"color",dflt:i.defaultLine,editType:"ticks"},zerolinewidth:{valType:"number",dflt:1,editType:"ticks"},showdividers:{valType:"boolean",dflt:!0,editType:"ticks"},dividercolor:{valType:"color",dflt:i.defaultLine,editType:"ticks"},dividerwidth:{valType:"number",dflt:1,editType:"ticks"},anchor:{valType:"enumerated",values:["free",c.idRegex.x.toString(),c.idRegex.y.toString()],editType:"plot"},side:{valType:"enumerated",values:["top","bottom","left","right"],editType:"plot"},overlaying:{valType:"enumerated",values:["free",c.idRegex.x.toString(),c.idRegex.y.toString()],editType:"plot"},layer:{valType:"enumerated",values:["above traces","below traces"],dflt:"above traces",editType:"plot"},domain:{valType:"info_array",items:[{valType:"number",min:0,max:1,editType:"plot"},{valType:"number",min:0,max:1,editType:"plot"}],dflt:[0,1],editType:"plot"},position:{valType:"number",min:0,max:1,dflt:0,editType:"plot"},categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array","total ascending","total descending","min ascending","min descending","max ascending","max descending","sum ascending","sum descending","mean ascending","mean descending","median ascending","median descending"],dflt:"trace",editType:"calc"},categoryarray:{valType:"data_array",editType:"calc"},uirevision:{valType:"any",editType:"none"},editType:"calc",_deprecated:{autotick:{valType:"boolean",editType:"ticks"},title:{valType:"string",editType:"ticks"},titlefont:n({editType:"ticks"})}}},{"../../components/color/attributes":614,"../../components/drawing/attributes":636,"../../constants/docs":720,"../../constants/numerical":725,"../../lib/extend":740,"../../plot_api/plot_template":788,"../font_attributes":827,"./constants":805}],814:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../components/fx/helpers").isUnifiedHover,o=t("../../components/fx/hovermode_defaults"),s=t("../../plot_api/plot_template"),l=t("../layout_attributes"),c=t("./layout_attributes"),u=t("./type_defaults"),h=t("./axis_defaults"),f=t("./constraints").handleConstraintDefaults,p=t("./position_defaults"),d=t("./axis_ids"),g=d.id2name,m=d.name2id,v=t("./constants").AX_ID_PATTERN,y=t("../../registry"),x=y.traceIs,b=y.getComponentMethod;function _(t,e,r){Array.isArray(t[e])?t[e].push(r):t[e]=[r]}e.exports=function(t,e,r){var d,y,w={},T={},k={},M={},A={},S={},E={},C={},L={},P={};for(d=0;d<r.length;d++){var I=r[d];if(x(I,"cartesian")||x(I,"gl2d")){var z,O;if(I.xaxis)z=g(I.xaxis),_(w,z,I);else if(I.xaxes)for(y=0;y<I.xaxes.length;y++)_(w,g(I.xaxes[y]),I);if(I.yaxis)O=g(I.yaxis),_(w,O,I);else if(I.yaxes)for(y=0;y<I.yaxes.length;y++)_(w,g(I.yaxes[y]),I);if("funnel"===I.type?"h"===I.orientation?(z&&(T[z]=!0),O&&(E[O]=!0)):O&&(k[O]=!0):"image"===I.type?(O&&(C[O]=!0),z&&(C[z]=!0)):(O&&(A[O]=!0,S[O]=!0),x(I,"carpet")&&("carpet"!==I.type||I._cheater)||z&&(M[z]=!0)),"carpet"===I.type&&I._cheater&&z&&(T[z]=!0),x(I,"2dMap")&&(L[z]=!0,L[O]=!0),x(I,"oriented"))P["h"===I.orientation?O:z]=!0}}var D=e._subplots,R=D.xaxis,F=D.yaxis,B=n.simpleMap(R,g),N=n.simpleMap(F,g),j=B.concat(N),U=i.background;R.length&&F.length&&(U=n.coerce(t,e,l,"plot_bgcolor"));var V,q,H,G,Y,W=i.combine(U,e.paper_bgcolor);function Z(){var t=w[V]||[];Y._traceIndices=t.map((function(t){return t._expandedIndex})),Y._annIndices=[],Y._shapeIndices=[],Y._imgIndices=[],Y._subplotsWith=[],Y._counterAxes=[],Y._name=Y._attr=V,Y._id=q}function X(t,e){return n.coerce(G,Y,c,t,e)}function J(t,e){return n.coerce2(G,Y,c,t,e)}function K(t){return"x"===t?F:R}function Q(e,r){for(var n="x"===e?B:N,i=[],a=0;a<n.length;a++){var o=n[a];o===r||(t[o]||{}).overlaying||i.push(m(o))}return i}var $={x:K("x"),y:K("y")},tt=$.x.concat($.y),et={},rt=[];function nt(){var t=G.matches;v.test(t)&&-1===tt.indexOf(t)&&(et[t]=G.type,rt=Object.keys(et))}var it=o(t,e,r),at=a(it);for(d=0;d<j.length;d++){V=j[d],q=m(V),H=V.charAt(0),n.isPlainObject(t[V])||(t[V]={}),G=t[V],Y=s.newContainer(e,V,H+"axis"),Z();var ot="x"===H&&!M[V]&&T[V]||"y"===H&&!A[V]&&k[V],st="y"===H&&(!S[V]&&E[V]||C[V]),lt={letter:H,font:e.font,outerTicks:L[V],showGrid:!P[V],data:w[V]||[],bgColor:W,calendar:e.calendar,automargin:!0,visibleDflt:ot,reverseDflt:st,splomStash:((e._splomAxes||{})[H]||{})[q]};X("uirevision",e.uirevision),u(G,Y,X,lt),h(G,Y,X,lt,e);var ct=at&&H===it.charAt(0),ut=J("spikecolor",at?Y.color:void 0),ht=J("spikethickness",at?1.5:void 0),ft=J("spikedash",at?"dot":void 0),pt=J("spikemode",at?"across":void 0),dt=J("spikesnap",at?"hovered data":void 0);X("showspikes",!!(ct||ut||ht||ft||pt||dt))||(delete Y.spikecolor,delete Y.spikethickness,delete Y.spikedash,delete Y.spikemode,delete Y.spikesnap),p(G,Y,X,{letter:H,counterAxes:$[H],overlayableAxes:Q(H,V),grid:e.grid}),X("title.standoff"),nt(),Y._input=G}for(d=0;d<rt.length;){q=rt[d++],H=(V=g(q)).charAt(0),n.isPlainObject(t[V])||(t[V]={}),G=t[V],Y=s.newContainer(e,V,H+"axis"),Z();var gt={letter:H,font:e.font,outerTicks:L[V],showGrid:!P[V],data:[],bgColor:W,calendar:e.calendar,automargin:!0,visibleDflt:!1,reverseDflt:!1,splomStash:((e._splomAxes||{})[H]||{})[q]};X("uirevision",e.uirevision),Y.type=et[q]||"linear",h(G,Y,X,gt,e),p(G,Y,X,{letter:H,counterAxes:$[H],overlayableAxes:Q(H,V),grid:e.grid}),X("fixedrange"),nt(),Y._input=G}var mt=b("rangeslider","handleDefaults"),vt=b("rangeselector","handleDefaults");for(d=0;d<B.length;d++)V=B[d],G=t[V],Y=e[V],mt(t,e,V),"date"===Y.type&&vt(G,Y,e,N,Y.calendar),X("fixedrange");for(d=0;d<N.length;d++){V=N[d],G=t[V],Y=e[V];var yt=e[g(Y.anchor)];X("fixedrange",b("rangeslider","isVisible")(yt))}var xt=e._axisConstraintGroups=[],bt=e._axisMatchGroups=[],_t=tt.concat(rt),wt=j.concat(n.simpleMap(rt,g));for(d=0;d<wt.length;d++){var Tt,kt;H=(V=wt[d]).charAt(0),G=t[V],Y=e[V],Tt="y"===H&&!G.hasOwnProperty("scaleanchor")&&C[V]?Y.anchor:void 0,kt=!G.hasOwnProperty("constrain")&&C[V]?"domain":void 0,f(G,Y,X,{allAxisIds:_t,layoutOut:e,scaleanchorDflt:Tt,constrainDflt:kt})}for(d=0;d<bt.length;d++){var Mt=bt[d],At=null,St=null;for(q in Mt)(Y=e[g(q)]).matches||(At=Y.range,St=Y.autorange);if(null===At||null===St)for(q in Mt){At=(Y=e[g(q)]).range,St=Y.autorange;break}for(q in Mt)(Y=e[g(q)]).matches&&(Y.range=At.slice(),Y.autorange=St),Y._matchGroup=Mt;if(xt.length)for(q in Mt)for(y=0;y<xt.length;y++){var Et=xt[y];for(var Ct in Et)q===Ct&&(n.warn("Axis "+Ct+" is set with both a *scaleanchor* and *matches* constraint; ignoring the scale constraint."),delete Et[Ct],Object.keys(Et).length<2&&xt.splice(y,1))}}}},{"../../components/color":615,"../../components/fx/helpers":651,"../../components/fx/hovermode_defaults":654,"../../lib":750,"../../plot_api/plot_template":788,"../../registry":882,"../layout_attributes":853,"./axis_defaults":801,"./axis_ids":802,"./constants":805,"./constraints":806,"./layout_attributes":813,"./position_defaults":816,"./type_defaults":824}],815:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../components/color/attributes").lightFraction,a=t("../../lib");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l("linecolor",s),u=l("linewidth");r("showline",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var h=l("gridcolor",n(s,o.bgColor,o.blend||i).toRgbString()),f=l("gridwidth");if(r("showgrid",o.showGrid||!!h||!!f)||(delete e.gridcolor,delete e.gridwidth),!o.noZeroLine){var p=l("zerolinecolor",s),d=l("zerolinewidth");r("zeroline",o.showGrid||!!p||!!d)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{"../../components/color/attributes":614,"../../lib":750,tinycolor2:548}],816:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],h=a.overlayableAxes||[],f=a.letter,p=a.grid;p&&(s=p._domains[f][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[f+"side"].split(" ")[0],c=p.domain[f]["right"===l||"top"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?"free":u[0]||"free"),l=l||("x"===f?"bottom":"left"),c=c||0,"free"===i.coerce(t,e,{anchor:{valType:"enumerated",values:["free"].concat(u),dflt:o}},"anchor")&&r("position",c),i.coerce(t,e,{side:{valType:"enumerated",values:"x"===f?["bottom","top"]:["left","right"],dflt:l}},"side");var d=!1;if(h.length&&(d=i.coerce(t,e,{overlaying:{valType:"enumerated",values:[!1].concat(h),dflt:!1}},"overlaying")),!d){var g=r("domain",s);g[0]>g[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r("layer"),e}},{"../../lib":750,"fast-isnumeric":241}],817:[function(t,e,r){"use strict";var n=t("../../constants/alignment").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||"center"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)]}},{"../../constants/alignment":717}],818:[function(t,e,r){"use strict";var n=t("polybooljs"),i=t("../../registry"),a=t("../../components/drawing").dashStyle,o=t("../../components/color"),s=t("../../components/fx"),l=t("../../components/fx/helpers").makeEventData,c=t("../../components/dragelement/helpers"),u=c.freeMode,h=c.rectMode,f=c.drawMode,p=c.openMode,d=c.selectMode,g=t("../../components/shapes/draw_newshape/display_outlines"),m=t("../../components/shapes/draw_newshape/helpers").handleEllipse,v=t("../../components/shapes/draw_newshape/newshapes"),y=t("../../lib"),x=t("../../lib/polygon"),b=t("../../lib/throttle"),_=t("./axis_ids").getFromId,w=t("../../lib/clear_gl_canvases"),T=t("../../plot_api/subroutines").redrawReglTraces,k=t("./constants"),M=k.MINSELECT,A=x.filter,S=x.tester,E=t("./handle_outline").clearSelect,C=t("./helpers"),L=C.p2r,P=C.axValue,I=C.getTransform;function z(t,e,r,n,i,a,o){var s,l,c,u,h,f,d,m,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf("event")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){F(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=N(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n,i=0;for(n=0;n<t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length>1)return!1;if((i+=r.selectedpoints.length)>1)return!1}return 1===i}(s)&&(f=j(_))){for(o&&o.remove(),v=0;v<s.length;v++)(l=s[v])._module.selectPoints(l,!1);U(e,s),B(a),x&&e.emit("plotly_deselect",null)}else{for(d=t.shiftKey&&(void 0!==f?f:j(_)),c=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:r}}(_.pointNumber,_.searchInfo,d),u=R(a.selectionDefs.concat([c])),v=0;v<s.length;v++)if(h=V(s[v]._module.selectPoints(s[v],u),s[v]),b.length)for(var w=0;w<h.length;w++)b.push(h[w]);else b=h;if(U(e,s,m={points:b}),c&&a&&a.selectionDefs.push(c),o){var T=a.mergedPolygons,k=p(a.dragmode);g(q(T,k),o,a)}x&&e.emit("plotly_selected",m)}}}function O(t){return"pointNumber"in t&&"searchInfo"in t}function D(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:t.subtract}}function R(t){for(var e=[],r=O(t[0])?0:t[0][0][0],n=r,i=O(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(O(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(f(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),f(e)){var a=n._fullLayout._zoomlayer.selectAll(".select-outline-"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call("_guiRelayout",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if("splom"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=f(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if("sankey"===a.type){var h=f(a._module,i,e[0],r[0]);s.push(h)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(f(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(f(a._module,i,e[0],r[0]));return s;function f(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function U(t,e,r){var n,a,o,s;for(n=0;n<e.length;n++){var l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var h=u[n],f=h.data,p=h.fullData;h.pointIndices?([].push.apply(f.selectedpoints,h.pointIndices),s._fullInput!==s&&[].push.apply(p.selectedpoints,h.pointIndices)):(f.selectedpoints.push(h.pointIndex),s._fullInput!==s&&p.selectedpoints.push(h.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,"regl")&&(d=!0);var g=a._module,m=g.styleOnSelect||g.style;m&&(m(t,o,o[0].node3),o[0].nodeRangePlot3&&m(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function q(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?"L":"M";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push(["Z",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c,v,x,_,w,T,E,C=u(l),O=h(l),D=p(l),j=f(l),H=d(l),G="drawcircle"===l,Y="drawline"===l||G,W=i.gd,Z=W._fullLayout,X=Z._zoomlayer,J=i.element.getBoundingClientRect(),K=i.plotinfo,Q=I(K),$=e-J.left,tt=r-J.top,et=$,rt=tt,nt="M"+$+","+tt,it=i.xaxes[0]._length,at=i.yaxes[0]._length,ot=i.xaxes.concat(i.yaxes),st=t.altKey&&!(f(l)&&D);F(t,W,i),C&&(c=A([[$,tt]],k.BENDPX));var lt=X.selectAll("path.select-outline-"+K.id).data(j?[0]:[1,2]),ct=Z.newshape;lt.enter().append("path").attr("class",(function(t){return"select-outline select-outline-"+t+" select-outline-"+K.id})).style(j?{opacity:ct.opacity/2,fill:D?void 0:ct.fillcolor,stroke:ct.line.color,"stroke-dasharray":a(ct.line.dash,ct.line.width),"stroke-width":ct.line.width+"px"}:{}).attr("fill-rule",ct.fillrule).classed("cursor-move",!!j).attr("transform",Q).attr("d",nt+"Z");var ut,ht=X.append("path").attr("class","zoombox-corners").style({fill:o.background,stroke:o.defaultLine,"stroke-width":1}).attr("transform",Q).attr("d","M0,0Z"),ft=Z._uid+k.SELECTID,pt=[],dt=N(W,i.xaxes,i.yaxes,i.subplot);function gt(t,e){return t-e}ut=K.fillRangeItems?K.fillRangeItems:O?function(t,e){var r=t.range={};for(w=0;w<ot.length;w++){var n=ot[w],i=n._id.charAt(0);r[n._id]=[L(n,e[i+"min"]),L(n,e[i+"max"])].sort(gt)}}:function(t,e,r){var n=t.lassoPoints={};for(w=0;w<ot.length;w++){var i=ot[w];n[i._id]=r.filtered.map(P(i))}},i.moveFn=function(t,e){et=Math.max(0,Math.min(it,t+$)),rt=Math.max(0,Math.min(at,e+tt));var r=Math.abs(et-$),a=Math.abs(rt-tt);if(O){var o,s,l;if(H){var u=Z.selectdirection;switch(o="any"===u?a<Math.min(.6*r,M)?"h":r<Math.min(.6*a,M)?"v":"d":u){case"h":s=G?at/2:0,l=at;break;case"v":s=G?it/2:0,l=it}}if(j)switch(Z.newshape.drawdirection){case"vertical":o="h",s=G?at/2:0,l=at;break;case"horizontal":o="v",s=G?it/2:0,l=it;break;case"ortho":r<a?(o="h",s=tt,l=rt):(o="v",s=$,l=et);break;default:o="d"}"h"===o?((_=Y?m(G,[et,s],[et,l]):[[$,s],[$,l],[et,l],[et,s]]).xmin=Y?et:Math.min($,et),_.xmax=Y?et:Math.max($,et),_.ymin=Math.min(s,l),_.ymax=Math.max(s,l),ht.attr("d","M"+_.xmin+","+(tt-M)+"h-4v"+2*M+"h4ZM"+(_.xmax-1)+","+(tt-M)+"h4v"+2*M+"h-4Z")):"v"===o?((_=Y?m(G,[s,rt],[l,rt]):[[s,tt],[s,rt],[l,rt],[l,tt]]).xmin=Math.min(s,l),_.xmax=Math.max(s,l),_.ymin=Y?rt:Math.min(tt,rt),_.ymax=Y?rt:Math.max(tt,rt),ht.attr("d","M"+($-M)+","+_.ymin+"v-4h"+2*M+"v4ZM"+($-M)+","+(_.ymax-1)+"v4h"+2*M+"v-4Z")):"d"===o&&((_=Y?m(G,[$,tt],[et,rt]):[[$,tt],[$,rt],[et,rt],[et,tt]]).xmin=Math.min($,et),_.xmax=Math.max($,et),_.ymin=Math.min(tt,rt),_.ymax=Math.max(tt,rt),ht.attr("d","M0,0Z"))}else C&&(c.addPt([et,rt]),_=c.filtered);i.selectionDefs&&i.selectionDefs.length?(x=function(t,e,r){if(r)return n.difference({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions;return n.union({regions:t,inverted:!1},{regions:[e],inverted:!1}).regions}(i.mergedPolygons,_,st),_.subtract=st,v=R(i.selectionDefs.concat([_]))):(x=[_],v=S(_)),g(q(x,D),lt,i),H&&b.throttle(ft,k.SELECTDELAY,(function(){var t;pt=[];var e,r=[];for(w=0;w<dt.length;w++)if(e=(T=dt[w])._module.selectPoints(T,v),r.push(e),t=V(e,T),pt.length)for(var n=0;n<t.length;n++)pt.push(t[n]);else pt=t;U(W,dt,E={points:pt}),ut(E,_,c),i.gd.emit("plotly_selecting",E)}))},i.clickFn=function(t,e){if(ht.remove(),W._fullLayout._activeShapeIndex>=0)W._fullLayout._deactivateShape(W);else if(!j){var r=Z.clickmode;b.done(ft).then((function(){if(b.clear(ft),2===t){for(lt.remove(),w=0;w<dt.length;w++)(T=dt[w])._module.selectPoints(T,!1);U(W,dt),B(i),W.emit("plotly_deselect",null)}else r.indexOf("select")>-1&&z(e,W,i.xaxes,i.yaxes,i.subplot,i,lt),"event"===r&&W.emit("plotly_selected",void 0);s.click(W,e)})).catch(y.error)}},i.doneFn=function(){ht.remove(),b.done(ft).then((function(){b.clear(ft),i.gd.emit("plotly_selected",E),_&&i.selectionDefs&&(_.subtract=st,i.selectionDefs.push(_),i.mergedPolygons.length=0,[].push.apply(i.mergedPolygons,x)),i.doneFnCompleted&&i.doneFnCompleted(pt)})).catch(y.error),j&&B(i)}},clearSelect:E,clearSelectionsCache:B,selectOnClick:z}},{"../../components/color":615,"../../components/dragelement/helpers":633,"../../components/drawing":637,"../../components/fx":655,"../../components/fx/helpers":651,"../../components/shapes/draw_newshape/display_outlines":700,"../../components/shapes/draw_newshape/helpers":701,"../../components/shapes/draw_newshape/newshapes":702,"../../lib":750,"../../lib/clear_gl_canvases":734,"../../lib/polygon":762,"../../lib/throttle":775,"../../plot_api/subroutines":789,"../../registry":882,"./axis_ids":802,"./constants":805,"./handle_outline":809,"./helpers":810,polybooljs:491}],819:[function(t,e,r){"use strict";var n=t("d3"),i=t("d3-time-format").utcFormat,a=t("fast-isnumeric"),o=t("../../lib"),s=o.cleanNumber,l=o.ms2DateTime,c=o.dateTime2ms,u=o.ensureNumber,h=o.isArrayOrTypedArray,f=t("../../constants/numerical"),p=f.FP_SAFE,d=f.BADNUM,g=f.LOG_CLIP,m=f.ONEWEEK,v=f.ONEDAY,y=f.ONEHOUR,x=f.ONEMIN,b=f.ONESEC,_=t("./axis_ids"),w=t("./constants"),T=w.HOUR_PATTERN,k=w.WEEKDAY_PATTERN;function M(t){return Math.pow(10,t)}function A(t){return null!=t}e.exports=function(t,e){e=e||{};var r=t._id||"x",f=r.charAt(0);function S(e,r){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&r&&t.range&&2===t.range.length){var n=t.range[0],i=t.range[1];return.5*(n+i-2*g*Math.abs(n-i))}return d}function E(e,r,n,i){if((i||{}).msUTC&&a(e))return+e;var s=c(e,n||t.calendar);if(s===d){if(!a(e))return d;e=+e;var l=Math.floor(10*o.mod(e+.05,1)),u=Math.round(e-l/10);s=c(new Date(u))+l/10}return s}function C(e,r,n){return l(e,r,n||t.calendar)}function L(e){return t._categories[Math.round(e)]}function P(e){if(A(e)){if(void 0===t._categoriesMap&&(t._categoriesMap={}),void 0!==t._categoriesMap[e])return t._categoriesMap[e];t._categories.push("number"==typeof e?String(e):e);var r=t._categories.length-1;return t._categoriesMap[e]=r,r}return d}function I(e){if(t._categoriesMap)return t._categoriesMap[e]}function z(t){var e=I(t);return void 0!==e?e:a(t)?+t:void 0}function O(t){return a(t)?+t:I(t)}function D(t,e,r){return n.round(r+e*t,2)}function R(t,e,r){return(t-r)/e}var F=function(e){return a(e)?D(e,t._m,t._b):d},B=function(e){return R(e,t._m,t._b)};if(t.rangebreaks){var N="y"===f;F=function(e){if(!a(e))return d;var r=t._rangebreaks.length;if(!r)return D(e,t._m,t._b);var n=N;t.range[0]>t.range[1]&&(n=!n);for(var i=n?-1:1,o=i*e,s=0,l=0;l<r;l++){var c=i*t._rangebreaks[l].min,u=i*t._rangebreaks[l].max;if(o<c)break;if(!(o>u)){s=o<(c+u)/2?l:l+1;break}s=l+1}var h=t._B[s]||0;return isFinite(h)?D(e,t._m2,h):0},B=function(e){var r=t._rangebreaks.length;if(!r)return R(e,t._m,t._b);for(var n=0,i=0;i<r&&!(e<t._rangebreaks[i].pmin);i++)e>t._rangebreaks[i].pmax&&(n=i+1);return R(e,t._m2,t._B[n])}}t.c2l="log"===t.type?S:u,t.l2c="log"===t.type?M:u,t.l2p=F,t.p2l=B,t.c2p="log"===t.type?function(t,e){return F(S(t,e))}:F,t.p2c="log"===t.type?function(t){return M(B(t))}:B,-1!==["linear","-"].indexOf(t.type)?(t.d2r=t.r2d=t.d2c=t.r2c=t.d2l=t.r2l=s,t.c2d=t.c2r=t.l2d=t.l2r=u,t.d2p=t.r2p=function(e){return t.l2p(s(e))},t.p2d=t.p2r=B,t.cleanPos=u):"log"===t.type?(t.d2r=t.d2l=function(t,e){return S(s(t),e)},t.r2d=t.r2c=function(t){return M(s(t))},t.d2c=t.r2l=s,t.c2d=t.l2r=u,t.c2r=S,t.l2d=M,t.d2p=function(e,r){return t.l2p(t.d2r(e,r))},t.p2d=function(t){return M(B(t))},t.r2p=function(e){return t.l2p(s(e))},t.p2r=B,t.cleanPos=u):"date"===t.type?(t.d2r=t.r2d=o.identity,t.d2c=t.r2c=t.d2l=t.r2l=E,t.c2d=t.c2r=t.l2d=t.l2r=C,t.d2p=t.r2p=function(e,r,n){return t.l2p(E(e,0,n))},t.p2d=t.p2r=function(t,e,r){return C(B(t),e,r)},t.cleanPos=function(e){return o.cleanDate(e,d,t.calendar)}):"category"===t.type?(t.d2c=t.d2l=P,t.r2d=t.c2d=t.l2d=L,t.d2r=t.d2l_noadd=z,t.r2c=function(e){var r=O(e);return void 0!==r?r:t.fraction2r(.5)},t.l2r=t.c2r=u,t.r2l=O,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return L(B(t))},t.r2p=t.d2p,t.p2r=B,t.cleanPos=function(t){return"string"==typeof t&&""!==t?t:u(t)}):"multicategory"===t.type&&(t.r2d=t.c2d=t.l2d=L,t.d2r=t.d2l_noadd=z,t.r2c=function(e){var r=z(e);return void 0!==r?r:t.fraction2r(.5)},t.r2c_just_indices=I,t.l2r=t.c2r=u,t.r2l=z,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return L(B(t))},t.r2p=t.d2p,t.p2r=B,t.cleanPos=function(t){return Array.isArray(t)||"string"==typeof t&&""!==t?t:u(t)},t.setupMultiCategory=function(n){var i,a,s=t._traceIndices,l=e._axisMatchGroups;if(l&&l.length&&0===t._categories.length)for(i=0;i<l.length;i++){var c=l[i];if(c[r])for(var u in c)if(u!==r){var p=e[_.id2name(u)];s=s.concat(p._traceIndices)}}var d=[[0,{}],[0,{}]],g=[];for(i=0;i<s.length;i++){var m=n[s[i]];if(f in m){var v=m[f],y=m._length||o.minRowLength(v);if(h(v[0])&&h(v[1]))for(a=0;a<y;a++){var x=v[0][a],b=v[1][a];A(x)&&A(b)&&(g.push([x,b]),x in d[0][1]||(d[0][1][x]=d[0][0]++),b in d[1][1]||(d[1][1][b]=d[1][0]++))}}}for(g.sort((function(t,e){var r=d[0][1],n=r[t[0]]-r[e[0]];if(n)return n;var i=d[1][1];return i[t[1]]-i[e[1]]})),i=0;i<g.length;i++)P(g[i])}),t.fraction2r=function(e){var r=t.r2l(t.range[0]),n=t.r2l(t.range[1]);return t.l2r(r+e*(n-r))},t.r2fraction=function(e){var r=t.r2l(t.range[0]),n=t.r2l(t.range[1]);return(t.r2l(e)-r)/(n-r)},t.cleanRange=function(e,r){r||(r={}),e||(e="range");var n,i,s=o.nestedProperty(t,e).get();if(i=(i="date"===t.type?o.dfltRange(t.calendar):"y"===f?w.DFLTRANGEY:r.dfltRange||w.DFLTRANGEX).slice(),"tozero"!==t.rangemode&&"nonnegative"!==t.rangemode||(i[0]=0),s&&2===s.length)for("date"!==t.type||t.autorange||(s[0]=o.cleanDate(s[0],d,t.calendar),s[1]=o.cleanDate(s[1],d,t.calendar)),n=0;n<2;n++)if("date"===t.type){if(!o.isDateTime(s[n],t.calendar)){t[e]=i;break}if(t.r2l(s[0])===t.r2l(s[1])){var l=o.constrain(t.r2l(s[0]),o.MIN_MS+1e3,o.MAX_MS-1e3);s[0]=t.l2r(l-1e3),s[1]=t.l2r(l+1e3);break}}else{if(!a(s[n])){if(!a(s[1-n])){t[e]=i;break}s[n]=s[1-n]*(n?10:.1)}if(s[n]<-p?s[n]=-p:s[n]>p&&(s[n]=p),s[0]===s[1]){var c=Math.max(1,Math.abs(1e-6*s[0]));s[0]-=c,s[1]+=c}}else o.nestedProperty(t,e).set(i)},t.setScale=function(r){var n=e._size;if(t.overlaying){var i=_.getFromId({_fullLayout:e},t.overlaying);t.domain=i.domain}var a=r&&t._r?"_r":"range",o=t.calendar;t.cleanRange(a);var s,l,c=t.r2l(t[a][0],o),u=t.r2l(t[a][1],o),h="y"===f;if((h?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var p=h;c>u&&(p=!p),p&&t._rangebreaks.reverse();var d=p?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(h?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=F(l.min),l.pmax=F(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error("Something went wrong with axis scaling")},t.maskBreaks=function(e){for(var r,n,i,a,l,c=t.rangebreaks||[],u=0;u<c.length;u++){var h=c[u];if(h.enabled)if(h.bounds){var f=h.pattern;switch(n=(r=o.simpleMap(h.bounds,f?s:t.d2c))[0],i=r[1],f){case k:a=(l=new Date(e)).getUTCDay(),n>i&&(i+=7,a<n&&(a+=7));break;case T:a=(l=new Date(e)).getUTCHours()+(l.getUTCMinutes()/60+l.getUTCSeconds()/3600+l.getUTCMilliseconds()/36e5),n>i&&(i+=24,a<n&&(a+=24));break;case"":a=e}if(a>=n&&a<i)return d}else for(var p=o.simpleMap(h.values,t.d2c).sort(o.sorterAsc),g=0;g<p.length;g++)if(i=(n=p[g])+h.dvalue,e>=n&&e<i)return d}return e},t.locateBreaks=function(e,r){var n,i,a,l,c=[];if(!t.rangebreaks)return c;var u=t.rangebreaks.slice().sort((function(t,e){return t.pattern===k&&e.pattern===T?-1:e.pattern===k&&t.pattern===T?1:0})),h=function(t,n){if((t=o.constrain(t,e,r))!==(n=o.constrain(n,e,r))){for(var i=!0,a=0;a<c.length;a++){var s=c[a];t<s.max&&n>=s.min&&(t<s.min&&(s.min=t),n>s.max&&(s.max=n),i=!1)}i&&c.push({min:t,max:n})}};for(n=0;n<u.length;n++){var f=u[n];if(f.enabled)if(f.bounds){var p=e,d=r;f.pattern&&(p=Math.floor(p)),a=(i=o.simpleMap(f.bounds,f.pattern?s:t.r2l))[0],l=i[1];var g,_,w=new Date(p);switch(f.pattern){case k:_=m,g=(l-a+(l<a?7:0))*v,p+=a*v-(w.getUTCDay()*v+w.getUTCHours()*y+w.getUTCMinutes()*x+w.getUTCSeconds()*b+w.getUTCMilliseconds());break;case T:_=v,g=(l-a+(l<a?24:0))*y,p+=a*y-(w.getUTCHours()*y+w.getUTCMinutes()*x+w.getUTCSeconds()*b+w.getUTCMilliseconds());break;default:p=Math.min(i[0],i[1]),g=_=(d=Math.max(i[0],i[1]))-p}for(var M=p;M<d;M+=_)h(M,M+g)}else for(var A=o.simpleMap(f.values,t.d2c),S=0;S<A.length;S++)h(a=A[S],l=a+f.dvalue)}return c.sort((function(t,e){return t.min-e.min})),c},t.makeCalcdata=function(e,r,n){var i,a,s,l,c=t.type,u="date"===c&&e[r+"calendar"];if(r in e){if(i=e[r],l=e._length||o.minRowLength(i),o.isTypedArray(i)&&("linear"===c||"log"===c)){if(l===i.length)return i;if(i.subarray)return i.subarray(0,l)}if("multicategory"===c)return function(t,e){for(var r=new Array(e),n=0;n<e;n++){var i=(t[0]||[])[n],a=(t[1]||[])[n];r[n]=I([i,a])}return r}(i,l);for(a=new Array(l),s=0;s<l;s++)a[s]=t.d2c(i[s],0,u,n)}else{var h=r+"0"in e?t.d2c(e[r+"0"],0,u):0,f=e["d"+r]?Number(e["d"+r]):1;for(i=e[{x:"y",y:"x"}[r]],l=e._length||i.length,a=new Array(l),s=0;s<l;s++)a[s]=h+s*f}if(t.rangebreaks)for(s=0;s<l;s++)a[s]=t.maskBreaks(a[s]);return a},t.isValidRange=function(e){return Array.isArray(e)&&2===e.length&&a(t.r2l(e[0]))&&a(t.r2l(e[1]))},t.isPtWithinRange=function(e,r){var n=t.c2l(e[f],null,r),i=t.r2l(t.range[0]),a=t.r2l(t.range[1]);return i<a?i<=n&&n<=a:a<=n&&n<=i},t._emptyCategories=function(){t._categories=[],t._categoriesMap={}},t.clearCalc=function(){var n=e._axisMatchGroups;if(n&&n.length){for(var i=!1,a=0;a<n.length;a++){var o=n[a];if(o[r]){i=!0;var s=null,l=null;for(var c in o){var u=e[_.id2name(c)];if(u._categories){s=u._categories,l=u._categoriesMap;break}}s&&l?(t._categories=s,t._categoriesMap=l):t._emptyCategories();break}}i||t._emptyCategories()}else t._emptyCategories();if(t._initialCategories)for(var h=0;h<t._initialCategories.length;h++)P(t._initialCategories[h])},t.sortByInitialCategories=function(){var n=[];if(t._emptyCategories(),t._initialCategories)for(var i=0;i<t._initialCategories.length;i++)P(t._initialCategories[i]);n=n.concat(t._traceIndices);var a=t._matchGroup;for(var o in a)if(r!==o){var s=e[_.id2name(o)];s._categories=t._categories,s._categoriesMap=t._categoriesMap,n=n.concat(s._traceIndices)}return n};var j=e._d3locale;"date"===t.type&&(t._dateFormat=j?j.timeFormat:i,t._extraFormat=e._extraFormat),t._separators=e.separators,t._numFormat=j?j.numberFormat:n.format,delete t._minDtick,delete t._forceTick0}},{"../../constants/numerical":725,"../../lib":750,"./axis_ids":802,"./constants":805,d3:169,"d3-time-format":166,"fast-isnumeric":241}],820:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes"),a=t("../array_container_defaults");function o(t){var e=["showexponent","showtickprefix","showticksuffix"].filter((function(e){return void 0!==t[e]}));if(e.every((function(r){return t[r]===t[e[0]]}))||1===e.length)return t[e[0]]}function s(t,e){function r(r,a){return n.coerce(t,e,i.tickformatstops,r,a)}r("enabled")&&(r("dtickrange"),r("value"))}e.exports=function(t,e,r,l,c,u){u&&1!==u.pass||function(t,e,r,n,i){var a=o(t);r("tickprefix")&&r("showtickprefix",a);r("ticksuffix",i.tickSuffixDflt)&&r("showticksuffix",a)}(t,0,r,0,c),u&&2!==u.pass||function(t,e,r,l,c){var u=o(t);r("tickprefix")&&r("showtickprefix",u);r("ticksuffix",c.tickSuffixDflt)&&r("showticksuffix",u);if(r("showticklabels")){var h=c.font||{},f=e.color,p=f&&f!==i.color.dflt?f:h.color;if(n.coerceFont(r,"tickfont",{family:h.family,size:h.size,color:p}),r("tickangle"),"category"!==l){var d=r("tickformat");a(t,e,{name:"tickformatstops",inclusionAttr:"enabled",handleItemDefaults:s}),e.tickformatstops.length||delete e.tickformatstops,d||"date"===l||(r("showexponent",u),r("exponentformat"),r("minexponent"),r("separatethousands"))}}}(t,e,r,l,c)}},{"../../lib":750,"../array_container_defaults":794,"./layout_attributes":813}],821:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r,a){var o=n.coerce2(t,e,i,"ticklen"),s=n.coerce2(t,e,i,"tickwidth"),l=n.coerce2(t,e,i,"tickcolor",e.color);r("ticks",a.outerTicks||o||s||l?"outside":"")||(delete e.ticklen,delete e.tickwidth,delete e.tickcolor)}},{"../../lib":750,"./layout_attributes":813}],822:[function(t,e,r){"use strict";var n=t("./clean_ticks"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a){function o(r){var n=t[r];return void 0!==n?n:(e._template||{})[r]}var s=o("tick0"),l=o("dtick"),c=o("tickvals"),u=r("tickmode",i(c)?"array":l?"linear":"auto");if("auto"===u)r("nticks");else if("linear"===u){var h=e.dtick=n.dtick(l,a);e.tick0=n.tick0(s,a,e.calendar,h)}else if("multicategory"!==a){void 0===r("tickvals")?e.tickmode="auto":r("ticktext")}}},{"../../lib":750,"./clean_ticks":804}],823:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../lib"),o=t("../../components/drawing"),s=t("./axes");e.exports=function(t,e,r,l){var c=t._fullLayout;if(0!==e.length){var u,h,f,p;l&&(u=l());var d=n.ease(r.easing);return t._transitionData._interruptCallbacks.push((function(){return window.cancelAnimationFrame(p),p=null,function(){for(var r={},n=0;n<e.length;n++){var a=e[n],o=a.plotinfo.xaxis,s=a.plotinfo.yaxis;a.xr0&&(r[o._name+".range"]=a.xr0.slice()),a.yr0&&(r[s._name+".range"]=a.yr0.slice())}return i.call("relayout",t,r).then((function(){for(var t=0;t<e.length;t++)g(e[t].plotinfo)}))}()})),h=Date.now(),p=window.requestAnimationFrame((function n(){f=Date.now();for(var a=Math.min(1,(f-h)/r.duration),o=d(a),s=0;s<e.length;s++)m(e[s],o);f-h>r.duration?(!function(){for(var r={},n=0;n<e.length;n++){var a=e[n],o=a.plotinfo.xaxis,s=a.plotinfo.yaxis;a.xr1&&(r[o._name+".range"]=a.xr1.slice()),a.yr1&&(r[s._name+".range"]=a.yr1.slice())}u&&u(),i.call("relayout",t,r).then((function(){for(var t=0;t<e.length;t++)g(e[t].plotinfo)}))}(),p=window.cancelAnimationFrame(n)):p=window.requestAnimationFrame(n)})),Promise.resolve()}function g(t){var e=t.xaxis,r=t.yaxis;c._defs.select("#"+t.clipId+"> rect").call(o.setTranslate,0,0).call(o.setScale,1,1),t.plot.call(o.setTranslate,e._offset,r._offset).call(o.setScale,1,1);var n=t.plot.selectAll(".scatterlayer .trace");n.selectAll(".point").call(o.setPointGroupScale,1,1),n.selectAll(".textpoint").call(o.setTextPointsScale,1,1),n.call(o.hideOutsideRangePoints,t)}function m(e,r){var n=e.plotinfo,i=n.xaxis,l=n.yaxis,c=i._length,u=l._length,h=!!e.xr1,f=!!e.yr1,p=[];if(h){var d=a.simpleMap(e.xr0,i.r2l),g=a.simpleMap(e.xr1,i.r2l),m=d[1]-d[0],v=g[1]-g[0];p[0]=(d[0]*(1-r)+r*g[0]-d[0])/(d[1]-d[0])*c,p[2]=c*(1-r+r*v/m),i.range[0]=i.l2r(d[0]*(1-r)+r*g[0]),i.range[1]=i.l2r(d[1]*(1-r)+r*g[1])}else p[0]=0,p[2]=c;if(f){var y=a.simpleMap(e.yr0,l.r2l),x=a.simpleMap(e.yr1,l.r2l),b=y[1]-y[0],_=x[1]-x[0];p[1]=(y[1]*(1-r)+r*x[1]-y[1])/(y[0]-y[1])*u,p[3]=u*(1-r+r*_/b),l.range[0]=i.l2r(y[0]*(1-r)+r*x[0]),l.range[1]=l.l2r(y[1]*(1-r)+r*x[1])}else p[1]=0,p[3]=u;s.drawOne(t,i,{skipTitle:!0}),s.drawOne(t,l,{skipTitle:!0}),s.redrawComponents(t,[i._id,l._id]);var w=h?c/p[2]:1,T=f?u/p[3]:1,k=h?p[0]:0,M=f?p[1]:0,A=h?p[0]/p[2]*c:0,S=f?p[1]/p[3]*u:0,E=i._offset-A,C=l._offset-S;n.clipRect.call(o.setTranslate,k,M).call(o.setScale,1/w,1/T),n.plot.call(o.setTranslate,E,C).call(o.setScale,w,T),o.setPointGroupScale(n.zoomScalePts,1/w,1/T),o.setTextPointsScale(n.zoomScaleTxt,1/w,1/T)}s.redrawComponents(t)}},{"../../components/drawing":637,"../../lib":750,"../../registry":882,"./axes":799,d3:169}],824:[function(t,e,r){"use strict";var n=t("../../registry").traceIs,i=t("./axis_autotype");function a(t){return{v:"x",h:"y"}[t.orientation||"v"]}function o(t,e){var r=a(t),i=n(t,"box-violin"),o=n(t._fullInput||{},"candlestick");return i&&!o&&e===r&&void 0===t[r]&&void 0===t[r+"0"]}e.exports=function(t,e,r,s){"-"===r("type",(s.splomStash||{}).type)&&(!function(t,e){if("-"!==t.type)return;var r,s=t._id,l=s.charAt(0);-1!==s.indexOf("scene")&&(s=l);var c=function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n];if("splom"===i.type&&i._length>0&&(i["_"+r+"axes"]||{})[e])return i;if((i[r+"axis"]||r)===e){if(o(i,r))return i;if((i[r]||[]).length||i[r+"0"])return i}}}(e,s,l);if(!c)return;if("histogram"===c.type&&l==={v:"y",h:"x"}[c.orientation||"v"])return void(t.type="linear");var u=l+"calendar",h=c[u],f={noMultiCategory:!n(c,"cartesian")||n(c,"noMultiCategory")};"box"===c.type&&c._hasPreCompStats&&l==={h:"x",v:"y"}[c.orientation||"v"]&&(f.noMultiCategory=!0);if(o(c,l)){var p=a(c),d=[];for(r=0;r<e.length;r++){var g=e[r];n(g,"box-violin")&&(g[l+"axis"]||l)===s&&(void 0!==g[p]?d.push(g[p][0]):void 0!==g.name?d.push(g.name):d.push("text"),g[u]!==h&&(h=void 0))}t.type=i(d,h,f)}else if("splom"===c.type){var m=c.dimensions[c._axesDim[s]];m.visible&&(t.type=i(m.values,h,f))}else t.type=i(c[l]||[c[l+"0"]],h,f)}(e,s.data),"-"===e.type?e.type="linear":t.type=e.type)}},{"../../registry":882,"./axis_autotype":800}],825:[function(t,e,r){"use strict";var n=t("../registry"),i=t("../lib");function a(t,e,r){var n,a,o,s=!1;if("data"===e.type)n=t._fullData[null!==e.traces?e.traces[0]:0];else{if("layout"!==e.type)return!1;n=t._fullLayout}return a=i.nestedProperty(n,e.prop).get(),(o=r[e.type]=r[e.type]||{}).hasOwnProperty(e.prop)&&o[e.prop]!==a&&(s=!0),o[e.prop]=a,{changed:s,value:a}}function o(t,e){var r=[],n=e[0],a={};if("string"==typeof n)a[n]=e[1];else{if(!i.isPlainObject(n))return r;a=n}return l(a,(function(t,e,n){r.push({type:"layout",prop:t,value:n})}),"",0),r}function s(t,e){var r,n,a,o,s=[];if(n=e[0],a=e[1],r=e[2],o={},"string"==typeof n)o[n]=a;else{if(!i.isPlainObject(n))return s;o=n,void 0===r&&(r=a)}return void 0===r&&(r=null),l(o,(function(e,n,i){var a,o;if(Array.isArray(i)){o=i.slice();var l=Math.min(o.length,t.data.length);r&&(l=Math.min(l,r.length)),a=[];for(var c=0;c<l;c++)a[c]=r?r[c]:c}else o=i,a=r?r.slice():null;if(null===a)Array.isArray(o)&&(o=o[0]);else if(Array.isArray(a)){if(!Array.isArray(o)){var u=o;o=[];for(var h=0;h<a.length;h++)o[h]=u}o.length=Math.min(a.length,o.length)}s.push({type:"data",prop:e,traces:a,value:o})}),"",0),s}function l(t,e,r,n){Object.keys(t).forEach((function(a){var o=t[a];if("_"!==a[0]){var s=r+(n>0?".":"")+a;i.isPlainObject(o)?l(o,e,s,n+1):e(s,a,o)}}))}r.manageCommandObserver=function(t,e,n,o){var s={},l=!0;e&&e._commandObserver&&(s=e._commandObserver),s.cache||(s.cache={}),s.lookupTable={};var c=r.hasSimpleAPICommandBindings(t,n,s.lookupTable);if(e&&e._commandObserver){if(c)return s;if(e._commandObserver.remove)return e._commandObserver.remove(),e._commandObserver=null,s}if(c){a(t,c,s.cache),s.check=function(){if(l){var e=a(t,c,s.cache);return e.changed&&o&&void 0!==s.lookupTable[e.value]&&(s.disable(),Promise.resolve(o({value:e.value,type:c.type,prop:c.prop,traces:c.traces,index:s.lookupTable[e.value]})).then(s.enable,s.enable)),e.changed}};for(var u=["plotly_relayout","plotly_redraw","plotly_restyle","plotly_update","plotly_animatingframe","plotly_afterplot"],h=0;h<u.length;h++)t._internalOn(u[h],s.check);s.remove=function(){for(var e=0;e<u.length;e++)t._removeInternalListener(u[e],s.check)}}else i.log("Unable to automatically bind plot updates to API command"),s.lookupTable={},s.remove=function(){};return s.disable=function(){l=!1},s.enable=function(){l=!0},e&&(e._commandObserver=s),s},r.hasSimpleAPICommandBindings=function(t,e,n){var i,a,o=e.length;for(i=0;i<o;i++){var s,l=e[i],c=l.method,u=l.args;if(Array.isArray(u)||(u=[]),!c)return!1;var h=r.computeAPICommandBindings(t,c,u);if(1!==h.length)return!1;if(a){if((s=h[0]).type!==a.type)return!1;if(s.prop!==a.prop)return!1;if(Array.isArray(a.traces)){if(!Array.isArray(s.traces))return!1;s.traces.sort();for(var f=0;f<a.traces.length;f++)if(a.traces[f]!==s.traces[f])return!1}else if(s.prop!==a.prop)return!1}else a=h[0],Array.isArray(a.traces)&&a.traces.sort();var p=(s=h[0]).value;if(Array.isArray(p)){if(1!==p.length)return!1;p=p[0]}n&&(n[p]=i)}return a},r.executeAPICommand=function(t,e,r){if("skip"===e)return Promise.resolve();var a=n.apiMethodRegistry[e],o=[t];Array.isArray(r)||(r=[]);for(var s=0;s<r.length;s++)o.push(r[s]);return a.apply(null,o).catch((function(t){return i.warn("API call to Plotly."+e+" rejected.",t),Promise.reject(t)}))},r.computeAPICommandBindings=function(t,e,r){var n;switch(Array.isArray(r)||(r=[]),e){case"restyle":n=s(t,r);break;case"relayout":n=o(t,r);break;case"update":n=s(t,[r[0],r[2]]).concat(o(t,[r[1]]));break;case"animate":n=function(t,e){return Array.isArray(e[0])&&1===e[0].length&&-1!==["string","number"].indexOf(typeof e[0][0])?[{type:"layout",prop:"_currentFrame",value:e[0][0].toString()}]:[]}(0,r);break;default:n=[]}return n}},{"../lib":750,"../registry":882}],826:[function(t,e,r){"use strict";var n=t("../lib/extend").extendFlat;r.attributes=function(t,e){e=e||{};var r={valType:"info_array",editType:(t=t||{}).editType,items:[{valType:"number",min:0,max:1,editType:t.editType},{valType:"number",min:0,max:1,editType:t.editType}],dflt:[0,1]},i=(t.name&&t.name,t.trace,e.description&&e.description,{x:n({},r,{}),y:n({},r,{}),editType:t.editType});return t.noGridCell||(i.row={valType:"integer",min:0,dflt:0,editType:t.editType},i.column={valType:"integer",min:0,dflt:0,editType:t.editType}),i},r.defaults=function(t,e,r,n){var i=n&&n.x||[0,1],a=n&&n.y||[0,1],o=e.grid;if(o){var s=r("domain.column");void 0!==s&&(s<o.columns?i=o._domains.x[s]:delete t.domain.column);var l=r("domain.row");void 0!==l&&(l<o.rows?a=o._domains.y[l]:delete t.domain.row)}var c=r("domain.x",i),u=r("domain.y",a);c[0]<c[1]||(t.domain.x=i.slice()),u[0]<u[1]||(t.domain.y=a.slice())}},{"../lib/extend":740}],827:[function(t,e,r){"use strict";e.exports=function(t){var e=t.editType,r=t.colorEditType;void 0===r&&(r=e);var n={family:{valType:"string",noBlank:!0,strict:!0,editType:e},size:{valType:"number",min:1,editType:e},color:{valType:"color",editType:r},editType:e};return t.arrayOk&&(n.family.arrayOk=!0,n.size.arrayOk=!0,n.color.arrayOk=!0),n}},{}],828:[function(t,e,r){"use strict";e.exports={_isLinkedToArray:"frames_entry",group:{valType:"string"},name:{valType:"string"},traces:{valType:"any"},baseframe:{valType:"string"},data:{valType:"any"},layout:{valType:"any"}}},{}],829:[function(t,e,r){"use strict";r.projNames={equirectangular:"equirectangular",mercator:"mercator",orthographic:"orthographic","natural earth":"naturalEarth",kavrayskiy7:"kavrayskiy7",miller:"miller",robinson:"robinson",eckert4:"eckert4","azimuthal equal area":"azimuthalEqualArea","azimuthal equidistant":"azimuthalEquidistant","conic equal area":"conicEqualArea","conic conformal":"conicConformal","conic equidistant":"conicEquidistant",gnomonic:"gnomonic",stereographic:"stereographic",mollweide:"mollweide",hammer:"hammer","transverse mercator":"transverseMercator","albers usa":"albersUsa","winkel tripel":"winkel3",aitoff:"aitoff",sinusoidal:"sinusoidal"},r.axesNames=["lonaxis","lataxis"],r.lonaxisSpan={orthographic:180,"azimuthal equal area":360,"azimuthal equidistant":360,"conic conformal":180,gnomonic:160,stereographic:180,"transverse mercator":180,"*":360},r.lataxisSpan={"conic conformal":150,stereographic:179.5,"*":180},r.scopeDefaults={world:{lonaxisRange:[-180,180],lataxisRange:[-90,90],projType:"equirectangular",projRotate:[0,0,0]},usa:{lonaxisRange:[-180,-50],lataxisRange:[15,80],projType:"albers usa"},europe:{lonaxisRange:[-30,60],lataxisRange:[30,85],projType:"conic conformal",projRotate:[15,0,0],projParallels:[0,60]},asia:{lonaxisRange:[22,160],lataxisRange:[-15,55],projType:"mercator",projRotate:[0,0,0]},africa:{lonaxisRange:[-30,60],lataxisRange:[-40,40],projType:"mercator",projRotate:[0,0,0]},"north america":{lonaxisRange:[-180,-45],lataxisRange:[5,85],projType:"conic conformal",projRotate:[-100,0,0],projParallels:[29.5,45.5]},"south america":{lonaxisRange:[-100,-30],lataxisRange:[-60,15],projType:"mercator",projRotate:[0,0,0]}},r.clipPad=.001,r.precision=.1,r.landColor="#F0DC82",r.waterColor="#3399FF",r.locationmodeToLayer={"ISO-3":"countries","USA-states":"subunits","country names":"countries"},r.sphereSVG={type:"Sphere"},r.fillLayers={ocean:1,land:1,lakes:1},r.lineLayers={subunits:1,countries:1,coastlines:1,rivers:1,frame:1},r.layers=["bg","ocean","land","lakes","subunits","countries","coastlines","rivers","lataxis","lonaxis","frame","backplot","frontplot"],r.layersForChoropleth=["bg","ocean","land","subunits","countries","coastlines","lataxis","lonaxis","frame","backplot","rivers","lakes","frontplot"],r.layerNameToAdjective={ocean:"ocean",land:"land",lakes:"lake",subunits:"subunit",countries:"country",coastlines:"coastline",rivers:"river",frame:"frame"}},{}],830:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../lib"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../components/fx"),c=t("../plots"),u=t("../cartesian/axes"),h=t("../cartesian/autorange").getAutoRange,f=t("../../components/dragelement"),p=t("../cartesian/select").prepSelect,d=t("../cartesian/select").clearSelect,g=t("../cartesian/select").selectOnClick,m=t("./zoom"),v=t("./constants"),y=t("../../lib/geo_location_utils"),x=t("../../lib/topojson_utils"),b=t("topojson-client").feature;function _(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}t("./projections")(n);var w=_.prototype;function T(t,e){var r=v.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:"Polygon",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new _(t)},w.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in v.layerNameToAdjective)if("frame"!==s&&i["show"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var c=x.getTopojsonName(i);null!==n.topojson&&c===n.topojsonName||(n.topojsonName=c,void 0===PlotlyGeoAssets.topojson[n.topojsonName]&&a.push(n.fetchTopojson()))}a=a.concat(y.fetchTraceGeoData(t)),r.push(new Promise((function(r,i){Promise.all(a).then((function(){n.topojson=PlotlyGeoAssets.topojson[n.topojsonName],n.update(t,e),r()})).catch(i)})))},w.fetchTopojson=function(){var t=this,e=x.getTopojsonPath(t.topojsonURL,t.topojsonName);return new Promise((function(r,i){n.json(e,(function(n,a){if(n)return 404===n.status?i(new Error(["plotly.js could not find topojson file at",e,".","Make sure the *topojsonURL* plot config option","is set properly."].join(" "))):i(new Error(["unexpected error while fetching topojson file at",e].join(" ")));PlotlyGeoAssets.topojson[t.topojsonName]=a,r()}))}))},w.update=function(t,e){var r=e[this.id];this.hasChoropleth=!1;for(var n=0;n<t.length;n++){var i=t[n],a=i[0].trace;"choropleth"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),c.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(".scatterlayer");this.dataPoints.point=o.selectAll(".point"),this.dataPoints.text=o.selectAll("text"),this.dataPaths.line=o.selectAll(".js-line");var s=this.layers.backplot.select(".choroplethlayer");this.dataPaths.choropleth=s.selectAll("path"),this.render()}},w.updateProjection=function(t,e){var r=this.graphDiv,o=e[this.id],s=e._size,l=o.domain,c=o.projection,u=o.lonaxis,f=o.lataxis,p=u._ax,d=f._ax,g=this.projection=function(t){for(var e=t.projection.type,r=n.geo[v.projNames[e]](),i=t._isClipped?v.lonaxisSpan[e]/2:null,a=["center","rotate","parallels","clipExtent"],o=function(t){return t?r:[]},s=0;s<a.length;s++){var l=a[s];"function"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(i){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>i*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],i=t[1][1]-t[0][1],a=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),a&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),i/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(i-s*(o[1][1]+o[0][1]))/2;return a&&r.clipExtent(a),r.scale(150*s).translate([l,c])},r.precision(v.precision),i&&r.clipAngle(i-v.clipPad);return r}(o),m=[[s.l+s.w*l.x[0],s.t+s.h*(1-l.y[1])],[s.l+s.w*l.x[1],s.t+s.h*(1-l.y[0])]],y=o.center||{},x=c.rotation||{},b=u.range||[],_=f.range||[];if(o.fitbounds){p._length=m[1][0]-m[0][0],d._length=m[1][1]-m[0][1],p.range=h(r,p),d.range=h(r,d);var w=(p.range[0]+p.range[1])/2,k=(d.range[0]+d.range[1])/2;if(o._isScoped)y={lon:w,lat:k};else if(o._isClipped){y={lon:w,lat:k},x={lon:w,lat:k,roll:x.roll};var M=c.type,A=v.lonaxisSpan[M]/2||180,S=v.lataxisSpan[M]/2||90;b=[w-A,w+A],_=[k-S,k+S]}else y={lon:w,lat:k},x={lon:w,lat:x.lat,roll:x.roll}}g.center([y.lon-x.lon,y.lat-x.lat]).rotate([-x.lon,-x.lat,x.roll]).parallels(c.parallels);var E=T(b,_);g.fitExtent(m,E);var C=this.bounds=g.getBounds(E),L=this.fitScale=g.scale(),P=g.translate();if(!isFinite(C[0][0])||!isFinite(C[0][1])||!isFinite(C[1][0])||!isFinite(C[1][1])||isNaN(P[0])||isNaN(P[0])){for(var I=["fitbounds","projection.rotation","center","lonaxis.range","lataxis.range"],z="Invalid geo settings, relayout'ing to default view.",O={},D=0;D<I.length;D++)O[this.id+"."+I[D]]=null;return this.viewInitial=null,a.warn(z),r._promises.push(i.call("relayout",r,O)),z}if(o.fitbounds){var R=g.getBounds(T(p.range,d.range)),F=Math.min((C[1][0]-C[0][0])/(R[1][0]-R[0][0]),(C[1][1]-C[0][1])/(R[1][1]-R[0][1]));isFinite(F)?g.scale(F*L):a.warn("Something went wrong during"+this.id+"fitbounds computations.")}else g.scale(c.scale*L);var B=this.midPt=[(C[0][0]+C[1][0])/2,(C[0][1]+C[1][1])/2];if(g.translate([P[0]+(B[0]-P[0]),P[1]+(B[1]-P[1])]).clipExtent(C),o._isAlbersUsa){var N=g([y.lon,y.lat]),j=g.translate();g.translate([j[0]-(N[0]-j[0]),j[1]-(N[1]-j[1])])}},w.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,l=r.basePaths;function c(t){return"lonaxis"===t||"lataxis"===t}function h(t){return Boolean(v.lineLayers[t])}function f(t){return Boolean(v.fillLayers[t])}var p=(this.hasChoropleth?v.layersForChoropleth:v.layers).filter((function(t){return h(t)||f(t)?e["show"+t]:!c(t)||e[t].showgrid})),d=r.framework.selectAll(".layer").data(p,String);d.exit().each((function(t){delete a[t],delete l[t],n.select(this).remove()})),d.enter().append("g").attr("class",(function(t){return"layer "+t})).each((function(t){var e=a[t]=n.select(this);"bg"===t?r.bgRect=e.append("rect").style("pointer-events","all"):c(t)?l[t]=e.append("path").style("fill","none"):"backplot"===t?e.append("g").classed("choroplethlayer",!0):"frontplot"===t?e.append("g").classed("scatterlayer",!0):h(t)?l[t]=e.append("path").style("fill","none").style("stroke-miterlimit",2):f(t)&&(l[t]=e.append("path").style("stroke","none"))})),d.order(),d.each((function(r){var n=l[r],a=v.layerNameToAdjective[r];"frame"===r?n.datum(v.sphereSVG):h(r)||f(r)?n.datum(b(i,i.objects[r])):c(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=v.scopeDefaults[e.scope];"lonaxis"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):"lataxis"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:"linear",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};u.setConvert(l,r);var c=u.calcTicks(l);e.isScoped||"lonaxis"!==t||c.pop();for(var h=c.length,f=new Array(h),p=0;p<h;p++)for(var d=c[p].x,g=f[p]=[],m=i[0];m<i[1]+2.5;m+=2.5)g.push(a(d,m));return{type:"MultiLineString",coordinates:f}}(r,e,t)).call(o.stroke,e[r].gridcolor).call(s.dashLine,"",e[r].gridwidth),h(r)?n.call(o.stroke,e[a+"color"]).call(s.dashLine,"",e[a+"width"]):f(r)&&n.call(o.fill,e[a+"color"])}))},w.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,l=r[1][0]-i+n,c=r[1][1]-a+n;s.setRect(this.clipRect,i,a,l,c),this.bgRect.call(s.setRect,i,a,l,c).call(o.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=l,this.yaxis._offset=a,this.yaxis._length=c},w.updateFx=function(t,e){var r=this,a=r.graphDiv,o=r.bgRect,s=t.dragmode,c=t.clickmode;if(!r.isStatic){var u;"select"===s?u=function(t,e){(t.range={})[r.id]=[v([e.xmin,e.ymin]),v([e.xmax,e.ymax])]}:"lasso"===s&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(v)});var h={element:r.bgRect.node(),gd:a,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&d(a)}};"pan"===s?(o.node().onmousedown=null,o.call(m(r,e)),o.on("dblclick.zoom",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+"."+n]=t[n];i.call("_guiRelayout",a,e),a.emit("plotly_doubleclick",null)})),a._context._scrollZoom.geo||o.on("wheel.zoom",null)):"select"!==s&&"lasso"!==s||(o.on(".zoom",null),h.prepFn=function(t,e,r){p(t,e,r,h,s)},f.init(h)),o.on("mousemove",(function(){var t=r.projection.invert(n.mouse(this));if(!t||isNaN(t[0])||isNaN(t[1]))return f.unhover(a,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return t[1]},l.hover(a,n.event,r.id)})),o.on("mouseout",(function(){a._dragging||f.unhover(a,n.event)})),o.on("click",(function(){"select"!==s&&"lasso"!==s&&(c.indexOf("select")>-1&&g(n.event,a,[r.xaxis],[r.yaxis],r.id,h),c.indexOf("event")>-1&&l.click(a,n.event))}))}function v(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},w.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i="clip"+r._uid+t.id;t.clipDef=r._clips.append("clipPath").attr("id",i),t.clipRect=t.clipDef.append("rect"),t.framework=n.select(t.container).append("g").attr("class","geo "+t.id).call(s.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:"x",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:"y",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,"projection.scale":n.scale},e=t._isScoped?{"center.lon":r.lon,"center.lat":r.lat}:t._isClipped?{"projection.rotation.lon":i.lon,"projection.rotation.lat":i.lat}:{"center.lon":r.lon,"center.lat":r.lat,"projection.rotation.lon":i.lon},a.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?"translate("+r[0]+","+r[1]+")":null}function i(t){return e.isLonLatOverEdges(t.lonlat)?"none":null}for(t in this.basePaths)this.basePaths[t].attr("d",r);for(t in this.dataPaths)this.dataPaths[t].attr("d",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr("display",i).attr("transform",n)}},{"../../components/color":615,"../../components/dragelement":634,"../../components/drawing":637,"../../components/fx":655,"../../lib":750,"../../lib/geo_location_utils":743,"../../lib/topojson_utils":777,"../../registry":882,"../cartesian/autorange":798,"../cartesian/axes":799,"../cartesian/select":818,"../plots":862,"./constants":829,"./projections":834,"./zoom":835,d3:169,"topojson-client":551}],831:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getSubplotCalcData,i=t("../../lib").counterRegex,a=t("./geo"),o="geo",s=i(o),l={};l.geo={valType:"subplotid",dflt:o,editType:"calc"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{"../../lib":750,"../../plots/get_data":836,"./geo":830,"./layout_attributes":832,"./layout_defaults":833}],832:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../domain").attributes,a=t("./constants"),o=t("../../plot_api/edit_types").overrideAll,s={range:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},showgrid:{valType:"boolean",dflt:!1},tick0:{valType:"number",dflt:0},dtick:{valType:"number"},gridcolor:{valType:"color",dflt:n.lightLine},gridwidth:{valType:"number",min:0,dflt:1}};(e.exports=o({domain:i({name:"geo"},{}),fitbounds:{valType:"enumerated",values:[!1,"locations","geojson"],dflt:!1,editType:"plot"},resolution:{valType:"enumerated",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:"enumerated",values:Object.keys(a.scopeDefaults),dflt:"world"},projection:{type:{valType:"enumerated",values:Object.keys(a.projNames)},rotation:{lon:{valType:"number"},lat:{valType:"number"},roll:{valType:"number"}},parallels:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},scale:{valType:"number",min:0,dflt:1}},center:{lon:{valType:"number"},lat:{valType:"number"}},visible:{valType:"boolean",dflt:!0},showcoastlines:{valType:"boolean"},coastlinecolor:{valType:"color",dflt:n.defaultLine},coastlinewidth:{valType:"number",min:0,dflt:1},showland:{valType:"boolean",dflt:!1},landcolor:{valType:"color",dflt:a.landColor},showocean:{valType:"boolean",dflt:!1},oceancolor:{valType:"color",dflt:a.waterColor},showlakes:{valType:"boolean",dflt:!1},lakecolor:{valType:"color",dflt:a.waterColor},showrivers:{valType:"boolean",dflt:!1},rivercolor:{valType:"color",dflt:a.waterColor},riverwidth:{valType:"number",min:0,dflt:1},showcountries:{valType:"boolean"},countrycolor:{valType:"color",dflt:n.defaultLine},countrywidth:{valType:"number",min:0,dflt:1},showsubunits:{valType:"boolean"},subunitcolor:{valType:"color",dflt:n.defaultLine},subunitwidth:{valType:"number",min:0,dflt:1},showframe:{valType:"boolean"},framecolor:{valType:"color",dflt:n.defaultLine},framewidth:{valType:"number",min:0,dflt:1},bgcolor:{valType:"color",dflt:n.background},lonaxis:s,lataxis:s},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color/attributes":614,"../../plot_api/edit_types":781,"../domain":826,"./constants":829}],833:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../subplot_defaults"),a=t("../get_data").getSubplotData,o=t("./constants"),s=t("./layout_attributes"),l=o.axesNames;function c(t,e,r,i){var s=a(i.fullData,"geo",i.id).map((function(t){return t._expandedIndex})),c=r("resolution"),u=r("scope"),h=o.scopeDefaults[u],f=r("projection.type",h.projType),p=e._isAlbersUsa="albers usa"===f;p&&(u=e.scope="usa");var d=e._isScoped="world"!==u,g=e._isConic=-1!==f.indexOf("conic"),m=e._isClipped=!!o.lonaxisSpan[f];if(!1===t.visible){var v=n.extendDeep({},e._template);v.showcoastlines=!1,v.showcountries=!1,v.showframe=!1,v.showlakes=!1,v.showland=!1,v.showocean=!1,v.showrivers=!1,v.showsubunits=!1,v.lonaxis&&(v.lonaxis.showgrid=!1),v.lataxis&&(v.lataxis.showgrid=!1),e._template=v}for(var y=r("visible"),x=0;x<l.length;x++){var b,_=l[x],w=[30,10][x];if(d)b=h[_+"Range"];else{var T=o[_+"Span"],k=(T[f]||T["*"])/2,M=r("projection.rotation."+_.substr(0,3),h.projRotate[x]);b=[M-k,M+k]}var A=r(_+".range",b);r(_+".tick0"),r(_+".dtick",w),r(_+".showgrid",!!y&&void 0)&&(r(_+".gridcolor"),r(_+".gridwidth")),e[_]._ax={type:"linear",_id:_.slice(0,3),_traceIndices:s,setScale:n.identity,c2l:n.identity,r2l:n.identity,autorange:!0,range:A.slice(),_m:1,_input:{}}}var S=e.lonaxis.range,E=e.lataxis.range,C=S[0],L=S[1];C>0&&L<0&&(L+=360);var P,I,z,O=(C+L)/2;if(!p){var D=d?h.projRotate:[O,0,0];P=r("projection.rotation.lon",D[0]),r("projection.rotation.lat",D[1]),r("projection.rotation.roll",D[2]),r("showcoastlines",!d&&y)&&(r("coastlinecolor"),r("coastlinewidth")),r("showocean",!!y&&void 0)&&r("oceancolor")}(p?(I=-96.6,z=38.7):(I=d?O:P,z=(E[0]+E[1])/2),r("center.lon",I),r("center.lat",z),g)&&r("projection.parallels",h.projParallels||[0,60]);r("projection.scale"),r("showland",!!y&&void 0)&&r("landcolor"),r("showlakes",!!y&&void 0)&&r("lakecolor"),r("showrivers",!!y&&void 0)&&(r("rivercolor"),r("riverwidth")),r("showcountries",d&&"usa"!==u&&y)&&(r("countrycolor"),r("countrywidth")),("usa"===u||"north america"===u&&50===c)&&(r("showsubunits",y),r("subunitcolor"),r("subunitwidth")),d||r("showframe",y)&&(r("framecolor"),r("framewidth")),r("bgcolor"),r("fitbounds")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):m?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}e.exports=function(t,e,r){i(t,e,r,{type:"geo",attributes:s,handleDefaults:c,fullData:r,partition:"y"})}},{"../../lib":750,"../get_data":836,"../subplot_defaults":876,"./constants":829,"./layout_attributes":832}],834:[function(t,e,r){"use strict";e.exports=function(t){function e(t,e){return{type:"Feature",id:t.id,properties:t.properties,geometry:r(t.geometry,e)}}function r(e,n){if(!e)return null;if("GeometryCollection"===e.type)return{type:"GeometryCollection",geometries:object.geometries.map((function(t){return r(t,n)}))};if(!c.hasOwnProperty(e.type))return null;var i=c[e.type];return t.geo.stream(e,n(i)),i.result()}t.geo.project=function(t,e){var i=e.stream;if(!i)throw new Error("not yet supported");return(t&&n.hasOwnProperty(t.type)?n[t.type]:r)(t,i)};var n={Feature:e,FeatureCollection:function(t,r){return{type:"FeatureCollection",features:t.features.map((function(t){return e(t,r)}))}}},i=[],a=[],o={point:function(t,e){i.push([t,e])},result:function(){var t=i.length?i.length<2?{type:"Point",coordinates:i[0]}:{type:"MultiPoint",coordinates:i}:null;return i=[],t}},s={lineStart:u,point:function(t,e){i.push([t,e])},lineEnd:function(){i.length&&(a.push(i),i=[])},result:function(){var t=a.length?a.length<2?{type:"LineString",coordinates:a[0]}:{type:"MultiLineString",coordinates:a}:null;return a=[],t}},l={polygonStart:u,lineStart:u,point:function(t,e){i.push([t,e])},lineEnd:function(){var t=i.length;if(t){do{i.push(i[0].slice())}while(++t<4);a.push(i),i=[]}},polygonEnd:u,result:function(){if(!a.length)return null;var t=[],e=[];return a.forEach((function(r){!function(t){if((e=t.length)<4)return!1;var e,r=0,n=t[e-1][1]*t[0][0]-t[e-1][0]*t[0][1];for(;++r<e;)n+=t[r-1][1]*t[r][0]-t[r-1][0]*t[r][1];return n<=0}(r)?e.push(r):t.push([r])})),e.forEach((function(e){var r=e[0];t.some((function(t){if(function(t,e){for(var r=e[0],n=e[1],i=!1,a=0,o=t.length,s=o-1;a<o;s=a++){var l=t[a],c=l[0],u=l[1],h=t[s],f=h[0],p=h[1];u>n^p>n&&r<(f-c)*(n-u)/(p-u)+c&&(i=!i)}return i}(t[0],r))return t.push(e),!0}))||t.push([e])})),a=[],t.length?t.length>1?{type:"MultiPolygon",coordinates:t}:{type:"Polygon",coordinates:t[0]}:null}},c={Point:o,MultiPoint:o,LineString:s,MultiLineString:s,Polygon:l,MultiPolygon:l,Sphere:l};function u(){}var h=1e-6,f=Math.PI,p=f/2,d=(Math.sqrt(f),f/180),g=180/f;function m(t){return t>1?p:t<-1?-p:Math.asin(t)}function v(t){return t>1?0:t<-1?f:Math.acos(t)}var y=t.geo.projection,x=t.geo.projectionMutator;function b(t,e){var r=(2+p)*Math.sin(e);e/=2;for(var n=0,i=1/0;n<10&&Math.abs(i)>h;n++){var a=Math.cos(e);e-=i=(e+Math.sin(e)*(a+2)-r)/(2*a*(1+a))}return[2/Math.sqrt(f*(4+f))*t*(1+Math.cos(e)),2*Math.sqrt(f/(4+f))*Math.sin(e)]}t.geo.interrupt=function(e){var r,n=[[[[-f,0],[0,p],[f,0]]],[[[-f,0],[0,-p],[f,0]]]];function i(t,r){for(var i=r<0?-1:1,a=n[+(r<0)],o=0,s=a.length-1;o<s&&t>a[o][2][0];++o);var l=e(t-a[o][1][0],r);return l[0]+=e(a[o][1][0],i*r>i*a[o][0][1]?a[o][0][1]:r)[0],l}function a(){r=n.map((function(t){return t.map((function(t){var r,n=e(t[0][0],t[0][1])[0],i=e(t[2][0],t[2][1])[0],a=e(t[1][0],t[0][1])[1],o=e(t[1][0],t[1][1])[1];return a>o&&(r=a,a=o,o=r),[[n,a],[i,o]]}))}))}e.invert&&(i.invert=function(t,a){for(var o=r[+(a<0)],s=n[+(a<0)],l=0,u=o.length;l<u;++l){var h=o[l];if(h[0][0]<=t&&t<h[1][0]&&h[0][1]<=a&&a<h[1][1]){var f=e.invert(t-e(s[l][1][0],0)[0],a);return f[0]+=s[l][1][0],c(i(f[0],f[1]),[t,a])?f:null}}});var o=t.geo.projection(i),s=o.stream;function l(t,e){for(var r,n,i,a=-1,o=t.length,s=t[0],l=[];++a<o;){n=((r=t[a])[0]-s[0])/e,i=(r[1]-s[1])/e;for(var c=0;c<e;++c)l.push([s[0]+c*n,s[1]+c*i]);s=r}return l.push(r),l}function c(t,e){return Math.abs(t[0]-e[0])<h&&Math.abs(t[1]-e[1])<h}return o.stream=function(e){var r=o.rotate(),i=s(e),a=(o.rotate([0,0]),s(e));return o.rotate(r),i.sphere=function(){t.geo.stream(function(){for(var e=1e-6,r=[],i=0,a=n[0].length;i<a;++i){var o=180*(p=n[0][i])[0][0]/f,s=180*p[0][1]/f,c=180*p[1][1]/f,u=180*p[2][0]/f,h=180*p[2][1]/f;r.push(l([[o+e,s+e],[o+e,c-e],[u-e,c-e],[u-e,h+e]],30))}for(i=n[1].length-1;i>=0;--i){var p;o=180*(p=n[1][i])[0][0]/f,s=180*p[0][1]/f,c=180*p[1][1]/f,u=180*p[2][0]/f,h=180*p[2][1]/f;r.push(l([[u-e,h-e],[u-e,c+e],[o+e,c+e],[o+e,s-e]],30))}return{type:"Polygon",coordinates:[t.merge(r)]}}(),a)},i},o.lobes=function(t){return arguments.length?(n=t.map((function(t){return t.map((function(t){return[[t[0][0]*f/180,t[0][1]*f/180],[t[1][0]*f/180,t[1][1]*f/180],[t[2][0]*f/180,t[2][1]*f/180]]}))})),a(),o):n.map((function(t){return t.map((function(t){return[[180*t[0][0]/f,180*t[0][1]/f],[180*t[1][0]/f,180*t[1][1]/f],[180*t[2][0]/f,180*t[2][1]/f]]}))}))},o},b.invert=function(t,e){var r=.5*e*Math.sqrt((4+f)/f),n=m(r),i=Math.cos(n);return[t/(2/Math.sqrt(f*(4+f))*(1+i)),m((n+r*(i+2))/(2+p))]},(t.geo.eckert4=function(){return y(b)}).raw=b;var _=t.geo.azimuthalEqualArea.raw;function w(t,e){if(arguments.length<2&&(e=t),1===e)return _;if(e===1/0)return T;function r(r,n){var i=_(r/e,n);return i[0]*=t,i}return r.invert=function(r,n){var i=_.invert(r/t,n);return i[0]*=e,i},r}function T(t,e){return[t*Math.cos(e)/Math.cos(e/=2),2*Math.sin(e)]}function k(t,e){return[3*t/(2*f)*Math.sqrt(f*f/3-e*e),e]}function M(t,e){return[t,1.25*Math.log(Math.tan(f/4+.4*e))]}function A(t){return function(e){var r,n=t*Math.sin(e),i=30;do{e-=r=(e+Math.sin(e)-n)/(1+Math.cos(e))}while(Math.abs(r)>h&&--i>0);return e/2}}T.invert=function(t,e){var r=2*m(e/2);return[t*Math.cos(r/2)/Math.cos(r),r]},(t.geo.hammer=function(){var t=2,e=x(w),r=e(t);return r.coefficient=function(r){return arguments.length?e(t=+r):t},r}).raw=w,k.invert=function(t,e){return[2/3*f*t/Math.sqrt(f*f/3-e*e),e]},(t.geo.kavrayskiy7=function(){return y(k)}).raw=k,M.invert=function(t,e){return[t,2.5*Math.atan(Math.exp(.8*e))-.625*f]},(t.geo.miller=function(){return y(M)}).raw=M,A(f);var S=function(t,e,r){var n=A(r);function i(r,i){return[t*r*Math.cos(i=n(i)),e*Math.sin(i)]}return i.invert=function(n,i){var a=m(i/e);return[n/(t*Math.cos(a)),m((2*a+Math.sin(2*a))/r)]},i}(Math.SQRT2/p,Math.SQRT2,f);function E(t,e){var r=e*e,n=r*r;return[t*(.8707-.131979*r+n*(n*(.003971*r-.001529*n)-.013791)),e*(1.007226+r*(.015085+n*(.028874*r-.044475-.005916*n)))]}(t.geo.mollweide=function(){return y(S)}).raw=S,E.invert=function(t,e){var r,n=e,i=25;do{var a=n*n,o=a*a;n-=r=(n*(1.007226+a*(.015085+o*(.028874*a-.044475-.005916*o)))-e)/(1.007226+a*(.045255+o*(.259866*a-.311325-.005916*11*o)))}while(Math.abs(r)>h&&--i>0);return[t/(.8707+(a=n*n)*(a*(a*a*a*(.003971-.001529*a)-.013791)-.131979)),n]},(t.geo.naturalEarth=function(){return y(E)}).raw=E;var C=[[.9986,-.062],[1,0],[.9986,.062],[.9954,.124],[.99,.186],[.9822,.248],[.973,.31],[.96,.372],[.9427,.434],[.9216,.4958],[.8962,.5571],[.8679,.6176],[.835,.6769],[.7986,.7346],[.7597,.7903],[.7186,.8435],[.6732,.8936],[.6213,.9394],[.5722,.9761],[.5322,1]];function L(t,e){var r,n=Math.min(18,36*Math.abs(e)/f),i=Math.floor(n),a=n-i,o=(r=C[i])[0],s=r[1],l=(r=C[++i])[0],c=r[1],u=(r=C[Math.min(19,++i)])[0],h=r[1];return[t*(l+a*(u-o)/2+a*a*(u-2*l+o)/2),(e>0?p:-p)*(c+a*(h-s)/2+a*a*(h-2*c+s)/2)]}function P(t,e){return[t*Math.cos(e),e]}function I(t,e){var r,n=Math.cos(e),i=(r=v(n*Math.cos(t/=2)))?r/Math.sin(r):1;return[2*n*Math.sin(t)*i,Math.sin(e)*i]}function z(t,e){var r=I(t,e);return[(r[0]+t/p)/2,(r[1]+e)/2]}C.forEach((function(t){t[1]*=1.0144})),L.invert=function(t,e){var r=e/p,n=90*r,i=Math.min(18,Math.abs(n/5)),a=Math.max(0,Math.floor(i));do{var o=C[a][1],s=C[a+1][1],l=C[Math.min(19,a+2)][1],c=l-o,u=l-2*s+o,h=2*(Math.abs(r)-s)/c,f=u/c,m=h*(1-f*h*(1-2*f*h));if(m>=0||1===a){n=(e>=0?5:-5)*(m+i);var v,y=50;do{m=(i=Math.min(18,Math.abs(n)/5))-(a=Math.floor(i)),o=C[a][1],s=C[a+1][1],l=C[Math.min(19,a+2)][1],n-=(v=(e>=0?p:-p)*(s+m*(l-o)/2+m*m*(l-2*s+o)/2)-e)*g}while(Math.abs(v)>1e-12&&--y>0);break}}while(--a>=0);var x=C[a][0],b=C[a+1][0],_=C[Math.min(19,a+2)][0];return[t/(b+m*(_-x)/2+m*m*(_-2*b+x)/2),n*d]},(t.geo.robinson=function(){return y(L)}).raw=L,P.invert=function(t,e){return[t/Math.cos(e),e]},(t.geo.sinusoidal=function(){return y(P)}).raw=P,I.invert=function(t,e){if(!(t*t+4*e*e>f*f+h)){var r=t,n=e,i=25;do{var a,o=Math.sin(r),s=Math.sin(r/2),l=Math.cos(r/2),c=Math.sin(n),u=Math.cos(n),p=Math.sin(2*n),d=c*c,g=u*u,m=s*s,y=1-g*l*l,x=y?v(u*l)*Math.sqrt(a=1/y):a=0,b=2*x*u*s-t,_=x*c-e,w=a*(g*m+x*u*l*d),T=a*(.5*o*p-2*x*c*s),k=.25*a*(p*s-x*c*g*o),M=a*(d*l+x*m*u),A=T*k-M*w;if(!A)break;var S=(_*T-b*M)/A,E=(b*k-_*w)/A;r-=S,n-=E}while((Math.abs(S)>h||Math.abs(E)>h)&&--i>0);return[r,n]}},(t.geo.aitoff=function(){return y(I)}).raw=I,z.invert=function(t,e){var r=t,n=e,i=25;do{var a,o=Math.cos(n),s=Math.sin(n),l=Math.sin(2*n),c=s*s,u=o*o,f=Math.sin(r),d=Math.cos(r/2),g=Math.sin(r/2),m=g*g,y=1-u*d*d,x=y?v(o*d)*Math.sqrt(a=1/y):a=0,b=.5*(2*x*o*g+r/p)-t,_=.5*(x*s+n)-e,w=.5*a*(u*m+x*o*d*c)+.5/p,T=a*(f*l/4-x*s*g),k=.125*a*(l*g-x*s*u*f),M=.5*a*(c*d+x*m*o)+.5,A=T*k-M*w,S=(_*T-b*M)/A,E=(b*k-_*w)/A;r-=S,n-=E}while((Math.abs(S)>h||Math.abs(E)>h)&&--i>0);return[r,n]},(t.geo.winkel3=function(){return y(z)}).raw=z}},{}],835:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../registry"),o=Math.PI/180,s=180/Math.PI,l={cursor:"pointer"},c={cursor:"auto"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function h(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],h={},f={};function p(t,e){h[n+"."+t]=i.nestedProperty(l,t).get(),a.call("_storeDirectGUIEdit",s,c._preGUI,h);var r=i.nestedProperty(u,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),f[n+"."+t]=e)}r(p),p("projection.scale",e.scale()/t.fitScale),p("fitbounds",!1),o.emit("plotly_relayout",f)}function f(t,e){var r=u(0,e);function i(r){var n=e.invert(t.midPt);r("center.lon",n[0]),r("center.lat",n[1])}return r.on("zoomstart",(function(){n.select(this).style(l)})).on("zoom",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render();var r=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":r[0],"geo.center.lat":r[1]})})).on("zoomend",(function(){n.select(this).style(c),h(t,e,i)})),r}function p(t,e){var r,i,a,o,s,f,p,d,g,m=u(0,e);function v(t){return e.invert(t)}function y(r){var n=e.rotate(),i=e.invert(t.midPt);r("projection.rotation.lon",-n[0]),r("center.lon",i[0]),r("center.lat",i[1])}return m.on("zoomstart",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=v(r)})).on("zoom",(function(){if(f=n.mouse(this),function(t){var r=v(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return m.scale(e.scale()),void m.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?v(f)&&(d=v(f),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=v(r=f),g=!0,t.render();var l=e.rotate(),c=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":c[0],"geo.center.lat":c[1],"geo.projection.rotation.lon":-l[0]})})).on("zoomend",(function(){n.select(this).style(c),g&&h(t,e,y)})),m}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=u(0,e),o=function(t){var e=0,r=arguments.length,i=[];for(;++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,"zoomstart","zoom","zoomend"),s=0,f=a.on;function p(t){s++||t({type:"zoomstart"})}function d(t){t({type:"zoom"})}function b(t){--s||t({type:"zoomend"})}function _(t){var r=e.rotate();t("projection.rotation.lon",-r[0]),t("projection.rotation.lat",-r[1])}return a.on("zoomstart",(function(){n.select(this).style(l);var t=n.mouse(this),s=e.rotate(),c=s,u=e.translate(),h=m(s);r=g(e,t),f.call(a,"zoom",(function(){var a=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(g(e,a)){e.rotate(s).translate(u);var l=g(e,a),f=y(r,l),p=T(v(h,f)),m=i.r=x(p,r,c);isFinite(m[0])&&isFinite(m[1])&&isFinite(m[2])||(m=c),e.rotate(m),c=m}}else r=g(e,t=a);d(o.of(this,arguments))})),p(o.of(this,arguments))})).on("zoomend",(function(){n.select(this).style(c),f.call(a,"zoom",null),b(o.of(this,arguments)),h(t,e,_)})).on("zoom.redraw",(function(){t.render();var r=e.rotate();t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.projection.rotation.lon":-r[0],"geo.projection.rotation.lat":-r[1]})})),n.rebind(a,o,"on")}function g(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function m(t){var e=.5*t[0]*o,r=.5*t[1]*o,n=.5*t[2]*o,i=Math.sin(e),a=Math.cos(e),s=Math.sin(r),l=Math.cos(r),c=Math.sin(n),u=Math.cos(n);return[a*l*u+i*s*c,i*l*u-a*s*c,a*s*u+i*l*c,a*l*c-i*s*u]}function v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],h=n[1],f=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(h)>d?(a=(h>0?90:-90)-p,i=0):(a=Math.asin(h/d)*s-p,i=Math.sqrt(d*d-h*h));var g=180-a-2*p,m=(Math.atan2(f,u)-Math.atan2(c,i))*s,v=(Math.atan2(f,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}e.exports=function(t,e){var r=t.projection;return(e._isScoped?f:e._isClipped?d:p)(t,r)}},{"../../lib":750,"../../registry":882,d3:169}],836:[function(t,e,r){"use strict";var n=t("../registry"),i=t("./cartesian/constants").SUBPLOT_PATTERN;r.getSubplotCalcData=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},r.getModuleCalcData=function(t,e){var r,i=[],a=[];if(!(r="string"==typeof e?n.getModule(e).plot:"function"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if("gl2d"===e){var u=r.match(i);o="x"+u[1],s="y"+u[2]}for(var h=0;h<t.length;h++)a=t[h],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{"../registry":882,"./cartesian/constants":805}],837:[function(t,e,r){"use strict";var n=t("mouse-change"),i=t("mouse-wheel"),a=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function h(e,n,i){var a,s,l=t.calcDataBox(),h=r.viewBox,f=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,g=o.MINZOOM*r.pixelRatio;function m(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=h[3]-h[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{"../cartesian/constants":805,"has-passive-events":415,"mouse-change":457,"mouse-event-offset":458,"mouse-wheel":460}],838:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=i(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=i((r.tickfont||{}).color),this.tickAngle[f+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,h=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":773,"../cartesian/axes":799}],839:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,"gl2d",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":656,"../../constants/xmlns_namespaces":726,"../../plot_api/edit_types":781,"../cartesian":812,"../cartesian/attributes":797,"../cartesian/constants":805,"../get_data":836,"../layout_attributes":853,"./scene2d":840}],840:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("gl-plot2d"),c=t("gl-spikes2d"),u=t("gl-select-box"),h=t("webgl-context"),f=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),g=t("../cartesian/constraints"),m=g.enforce,v=g.clean,y=t("../cartesian/autorange").doAutoRange,x=t("../../components/dragelement/helpers"),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=t("../cartesian/constants").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement("canvas");h.width=r,h.height=i;var f,p=h.getContext("2d"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":f=h.toDataURL("image/jpeg");break;case"webp":f=h.toDataURL("image/webp");break;default:f=h.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,i-u.r-(1-h[1])*u.w,a-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+"px",this.mouseContainer.style.height=u.h*(f[1]-f[0])+"px",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+"px",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},M.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(g.traceCoord[0]=void 0),-1===x.indexOf("y")&&(g.traceCoord[1]=void 0),-1===x.indexOf("z")&&(g.traceCoord[2]=void 0),-1===x.indexOf("text")&&(g.textLabel=void 0),-1===x.indexOf("name")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter("xaxis",g.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,"bgcolor")||g.color,borderColor:s.castHoverOption(m,v,"bordercolor"),fontFamily:s.castHoverOption(m,v,"font.family"),fontSize:s.castHoverOption(m,v,"font.size"),fontColor:s.castHoverOption(m,v,"font.color"),nameLength:s.castHoverOption(m,v,"namelength"),textAlign:s.castHoverOption(m,v,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../components/dragelement/helpers":633,"../../components/fx":655,"../../lib/show_no_webgl_msg":771,"../../plots/cartesian/axes":799,"../../registry":882,"../cartesian/autorange":798,"../cartesian/constants":805,"../cartesian/constraints":806,"./camera":837,"./convert":838,"gl-plot2d":298,"gl-select-box":310,"gl-spikes2d":319,"webgl-context":578}],841:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":656,"../../constants/xmlns_namespaces":726,"../../lib":750,"../../plot_api/edit_types":781,"../get_data":836,"./layout/attributes":842,"./layout/defaults":846,"./layout/layout_attributes":847,"./scene":851}],842:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],843:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":615,"../../../lib/extend":740,"../../../plot_api/edit_types":781,"../../cartesian/layout_attributes":813}],844:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f("gridcolor",n(h.color,r.bgColor,13600/187).toRgbString()),f("title.text",d[0]),h.setScale=i.noop,f("showspikes")&&(f("spikesides"),f("spikethickness"),f("spikecolor",h.color)),f("showaxeslabels"),f("showbackground")&&f("backgroundcolor")}}},{"../../../lib":750,"../../../plot_api/plot_template":788,"../../cartesian/axis_defaults":801,"../../cartesian/type_defaults":824,"./axis_attributes":843,tinycolor2:548}],845:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":750,"../../../lib/str2rgbarray":773}],846:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData;function u(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),u=["up","center","eye"],h=0;h<u.length;h++)r("camera."+u[h]+".x"),r("camera."+u[h]+".y"),r("camera."+u[h]+".z");r("camera.projection.type");var f=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),p=r("aspectmode",f?"manual":"auto");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===p&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var d=c(n.fullData,"gl3d",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var g=n.getDfltFromLayout("dragmode");if(!1!==g&&!g)if(g="orbit",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g="turntable"):g="turntable")}else g="turntable";r("dragmode",g),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:"gl3d",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":615,"../../../lib":750,"../../../registry":882,"../../get_data":836,"../../subplot_defaults":876,"./axis_defaults":844,"./layout_attributes":847}],847:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":750,"../../../lib/extend":740,"../../domain":826,"./axis_attributes":843}],848:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":773}],849:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":750,"../../cartesian/axes":799}],850:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],851:[function(t,e,r){"use strict";var n,i,a=t("gl-plot3d"),o=a.createCamera,s=a.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),h=t("../../lib"),f=t("../../plots/cartesian/axes"),p=t("../../components/fx"),d=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),m=t("./project"),v=t("./layout/convert"),y=t("./layout/spikes"),x=t("./layout/tick_marks"),b=t("is-mobile")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn(["webgl setup failed possibly due to",b?"disabling":"enabling","preserveDrawingBuffer config.","The device may not be supported by is-mobile module!","Inverting preserveDrawingBuffer option in second attempt to create webgl scene."].join(" ")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)"skip"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),"hover").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g("xaxis",u.traceCoordinate[0]),yLabel:g("yaxis",u.traceCoordinate[1]),zLabel:g("zaxis",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||"").split("+"),M=T&&"all"===T;b.hovertemplate||M||(-1===k.indexOf("x")&&(w.xLabel=void 0),-1===k.indexOf("y")&&(w.yLabel=void 0),-1===k.indexOf("z")&&(w.zLabel=void 0),-1===k.indexOf("text")&&(u.textLabel=void 0),-1===k.indexOf("name")&&(c.name=void 0));var A=[];"cone"===t.type||"streamtube"===t.type?(w.uLabel=g("xaxis",u.traceCoordinate[3]),(M||-1!==k.indexOf("u"))&&A.push("u: "+w.uLabel),w.vLabel=g("yaxis",u.traceCoordinate[4]),(M||-1!==k.indexOf("v"))&&A.push("v: "+w.vLabel),w.wLabel=g("zaxis",u.traceCoordinate[5]),(M||-1!==k.indexOf("w"))&&A.push("w: "+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf("norm"))&&A.push("norm: "+w.normLabel),"streamtube"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf("divergence"))&&A.push("divergence: "+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join("<br>")):"isosurface"===t.type||"volume"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),"hover").text,A.push("value: "+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join("<br>")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*a,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,"bgcolor")||c.color,borderColor:p.castHoverOption(b,_,"bordercolor"),fontFamily:p.castHoverOption(b,_,"font.family"),fontSize:p.castHoverOption(b,_,"font.size"),fontColor:p.castHoverOption(b,_,"font.color"),nameLength:p.castHoverOption(b,_,"namelength"),textAlign:p.castHoverOption(b,_,"align"),hovertemplate:h.castOption(b,_,"hovertemplate"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit("plotly_click",E):r.emit("plotly_hover",E),s=E}else p.loneUnhover(n),r.emit("plotly_unhover",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var T=["xaxis","yaxis","zaxis"];function k(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=T[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],u=e["_"+o+"length"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=T[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[T[a]]).type)in y?(y[l].acc*=f[a],y[l].count+=1):y[l]={acc:f[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],M[0][a]/f[a]-A),m[1][a]=Math.max(m[1][a],M[1][a]/f[a]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var C=m[1][a]-m[0][a];m[0][a]-=C/32,m[1][a]+=C/32}if("reversed"===s.autorange){var L=m[0][a];m[0][a]=m[1][a],m[1][a]=L}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*f[a],max:m[1][a]*f[a]})}var I=c.aspectmode;if("cube"===I)g=[1,1,1];else if("manual"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated types");var O=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[T[a]]).type];O[a]=Math.pow(D.acc,1/D.count)/f[a]}g="data"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=h.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+".camera").set(e);if(c)a.set(i),h.nestedProperty(s,this.id+".aspectratio").set(i),this.glplot.redraw()}return f},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",f={x:0,y:0,z:1},p={};p[c]=f;var d=n.layout;u.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=f,h.nestedProperty(d,c).set(f)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement("canvas");o.width=r,o.height=i;var s,l=o.getContext("2d"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];f.setConvert(e,this.fullLayout),e.setScale=h.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},f.setConvert(this._mockAxis,t)},e.exports=_},{"../../components/fx":655,"../../lib":750,"../../lib/show_no_webgl_msg":771,"../../lib/str2rgbarray":773,"../../plots/cartesian/axes":799,"../../registry":882,"./layout/convert":845,"./layout/spikes":848,"./layout/tick_marks":849,"./project":850,"gl-plot3d":301,"has-passive-events":415,"is-mobile":441,"webgl-context":578}],852:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],853:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("./animation_attributes"),a=t("../components/color/attributes"),o=t("../components/shapes/draw_newshape/attributes"),s=t("./pad_attributes"),l=t("../lib/extend").extendFlat,c=n({editType:"calc"});c.family.dflt='"Open Sans", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:"string",editType:"layoutstyle"},font:n({editType:"layoutstyle"}),xref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},yref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle"},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle"},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle"},yanchor:{valType:"enumerated",dflt:"auto",values:["auto","top","middle","bottom"],editType:"layoutstyle"},pad:l(s({editType:"layoutstyle"}),{}),editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot"},minsize:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"plot"},height:{valType:"number",min:10,dflt:450,editType:"plot"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot"},r:{valType:"number",min:0,dflt:80,editType:"plot"},t:{valType:"number",min:0,dflt:100,editType:"plot"},b:{valType:"number",min:0,dflt:80,editType:"plot"},pad:{valType:"number",min:0,dflt:0,editType:"plot"},autoexpand:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},computed:{valType:"any",editType:"none"},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle"},separators:{valType:"string",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},showlegend:{valType:"boolean",editType:"legend"},colorway:{valType:"colorlist",dflt:a.defaults,editType:"calc"},datarevision:{valType:"any",editType:"calc"},uirevision:{valType:"any",editType:"none"},editrevision:{valType:"any",editType:"none"},selectionrevision:{valType:"any",editType:"none"},template:{valType:"any",editType:"calc"},modebar:{orientation:{valType:"enumerated",values:["v","h"],dflt:"h",editType:"modebar"},bgcolor:{valType:"color",editType:"modebar"},color:{valType:"color",editType:"modebar"},activecolor:{valType:"color",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"modebar"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:"any",arrayOk:!0,editType:"plot"},transition:l({},i.transition,{editType:"none"}),_deprecated:{title:{valType:"string",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"})}}},{"../components/color/attributes":614,"../components/shapes/draw_newshape/attributes":697,"../lib/extend":740,"./animation_attributes":793,"./font_attributes":827,"./pad_attributes":861}],854:[function(t,e,r){"use strict";var n={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:'<a href="http://www.openstreetmap.org/about/" target="_blank">\xa9 OpenStreetMap</a>',tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:'<a href="https://carto.com/" target="_blank">\xa9 CARTO</a>',tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:'<a href="https://carto.com/" target="_blank">\xa9 CARTO</a>',tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:'Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a> | Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://www.openstreetmap.org/copyright">ODbL</a>.',tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:'Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a> | Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://www.openstreetmap.org/copyright">ODbL</a>.',tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:'Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a> | Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>.',tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},i=Object.keys(n);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:n,styleValuesNonMapbox:i,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:","  Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",i.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z",path1:"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z",path2:"M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z",polygon:"11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34"},styleRules:{map:"overflow:hidden;position:relative;","missing-css":"display:none;",canary:"background-color:salmon;","ctrl-bottom-left":"position: absolute; pointer-events: none; z-index: 2; bottom: 0; left: 0;","ctrl-bottom-right":"position: absolute; pointer-events: none; z-index: 2; right: 0; bottom: 0;",ctrl:"clear: both; pointer-events: auto; transform: translate(0, 0);","ctrl-attrib.mapboxgl-compact .mapboxgl-ctrl-attrib-inner":"display: none;","ctrl-attrib.mapboxgl-compact:hover .mapboxgl-ctrl-attrib-inner":"display: block; margin-top:2px","ctrl-attrib.mapboxgl-compact:hover":"padding: 2px 24px 2px 4px; visibility: visible; margin-top: 6px;","ctrl-attrib.mapboxgl-compact::after":'content: ""; cursor: pointer; position: absolute; background-image: url(\'data:image/svg+xml;charset=utf-8,%3Csvg viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"%3E %3Cpath fill="%23333333" fill-rule="evenodd" d="M4,10a6,6 0 1,0 12,0a6,6 0 1,0 -12,0 M9,7a1,1 0 1,0 2,0a1,1 0 1,0 -2,0 M9,10a1,1 0 1,1 2,0l0,3a1,1 0 1,1 -2,0"/%3E %3C/svg%3E\'); background-color: rgba(255, 255, 255, 0.5); width: 24px; height: 24px; box-sizing: border-box; border-radius: 12px;',"ctrl-attrib.mapboxgl-compact":"min-height: 20px; padding: 0; margin: 10px; position: relative; background-color: #fff; border-radius: 3px 12px 12px 3px;","ctrl-bottom-right > .mapboxgl-ctrl-attrib.mapboxgl-compact::after":"bottom: 0; right: 0","ctrl-bottom-left > .mapboxgl-ctrl-attrib.mapboxgl-compact::after":"bottom: 0; left: 0","ctrl-bottom-left .mapboxgl-ctrl":"margin: 0 0 10px 10px; float: left;","ctrl-bottom-right .mapboxgl-ctrl":"margin: 0 10px 10px 0; float: right;","ctrl-attrib":"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px","ctrl-attrib a":"color: rgba(0, 0, 0, 0.75); text-decoration: none; font-size: 12px","ctrl-attrib a:hover":"color: inherit; text-decoration: underline;","ctrl-attrib .mapbox-improve-map":"font-weight: bold; margin-left: 2px;","attrib-empty":"display: none;","ctrl-logo":'display:block; width: 21px; height: 21px; background-image: url(\'data:image/svg+xml;charset=utf-8,%3C?xml version="1.0" encoding="utf-8"?%3E %3Csvg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 21 21" style="enable-background:new 0 0 21 21;" xml:space="preserve"%3E%3Cg transform="translate(0,0.01)"%3E%3Cpath d="m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z" style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3Cpath d="M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpath d="M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpolygon points="11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34 " style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3C/g%3E%3C/svg%3E\')'}}},{}],855:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t.split(" "),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=["",""],u=[0,0];switch(i){case"top":c[0]="top",u[1]=-l;break;case"bottom":c[0]="bottom",u[1]=l}switch(a){case"left":c[1]="right",u[0]=-s;break;case"right":c[1]="left",u[0]=s}return{anchor:c[0]&&c[1]?c.join("-"):c[0]?c[0]:c[1]?c[1]:"center",offset:u}}},{"../../lib":750}],856:[function(t,e,r){"use strict";var n=t("mapbox-gl"),i=t("../../lib"),a=t("../../plots/get_data").getSubplotCalcData,o=t("../../constants/xmlns_namespaces"),s=t("d3"),l=t("../../components/drawing"),c=t("../../lib/svg_text_utils"),u=t("./mapbox"),h=r.constants=t("./constants");function f(t){return"string"==typeof t&&(-1!==h.styleValuesMapbox.indexOf(t)||0===t.indexOf("mapbox://"))}r.name="mapbox",r.attr="subplot",r.idRoot="mapbox",r.idRegex=r.attrRegex=i.counterRegex("mapbox"),r.attributes={subplot:{valType:"subplotid",dflt:"mapbox",editType:"calc"}},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,o=e._subplots.mapbox;if(n.version!==h.requiredVersion)throw new Error(h.wrongVersionErrorMsg);var s=function(t,e){var r=t._fullLayout;if(""===t._context.mapboxAccessToken)return"";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;f(c.style)&&(u?i.pushUnique(n,u):(f(c._input.style)&&(i.error("Uses Mapbox map style, but did not set an access token."),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var p=o?h.noAccessTokenErrorMsg:h.missingStyleErrorMsg;throw i.error(p),new Error(p)}return n.length?(n.length>1&&i.warn(h.multipleTokensErrorMsg),n[0]):(a.length&&i.log(["Listed mapbox access token(s)",a.join(","),"but did not use a Mapbox map style, ignoring token(s)."].join(" ")),"")}(t,o);n.accessToken=s;for(var l=0;l<o.length;l++){var c=o[l],p=a(r,"mapbox",c),d=e[c],g=d._subplot;g||(g=new u(t,c),e[c]._subplot=g),g.viewInitial||(g.viewInitial={center:i.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),g.plot(p,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.mapbox||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._subplot&&n[o]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],u=a.domain,f=a._subplot.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":f,x:n.l+n.w*u.x[0],y:n.t+n.h*(1-u.y[1]),width:n.w*(u.x[1]-u.x[0]),height:n.h*(u.y[1]-u.y[0]),preserveAspectRatio:"none"});var p=s.select(a._subplot.div);if(!(null===p.select(".mapboxgl-ctrl-logo").node().offsetParent)){var d=e._glimages.append("g");d.attr("transform","translate("+(n.l+n.w*u.x[0]+10)+", "+(n.t+n.h*(1-u.y[0])-31)+")"),d.append("path").attr("d",h.mapboxLogo.path0).style({opacity:.9,fill:"#ffffff","enable-background":"new"}),d.append("path").attr("d",h.mapboxLogo.path1).style("opacity",.35).style("enable-background","new"),d.append("path").attr("d",h.mapboxLogo.path2).style("opacity",.35).style("enable-background","new"),d.append("polygon").attr("points",h.mapboxLogo.polygon).style({opacity:.9,fill:"#ffffff","enable-background":"new"})}var g=p.select(".mapboxgl-ctrl-attrib").text().replace("Improve this map",""),m=e._glimages.append("g"),v=m.append("text");v.text(g).classed("static-attribution",!0).attr({"font-size":12,"font-family":"Arial",color:"rgba(0, 0, 0, 0.75)","text-anchor":"end","data-unformatted":g});var y=l.bBox(v.node()),x=n.w*(u.x[1]-u.x[0]);if(y.width>x/2){var b=g.split("|").join("<br>");v.text(b).attr("data-unformatted",b).call(c.convertToTspans,t),y=l.bBox(v.node())}v.attr("transform","translate(-3, "+(8-y.height)+")"),m.insert("rect",".static-attribution").attr({x:-y.width-6,y:-y.height-3,width:y.width+6,height:y.height+3,fill:"rgba(255, 255, 255, 0.75)"});var _=1;y.width+6>x&&(_=x/(y.width+6));var w=[n.l+n.w*u.x[1],n.t+n.h*(1-u.y[0])];m.attr("transform","translate("+w[0]+","+w[1]+") scale("+_+")")}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{"../../components/drawing":637,"../../constants/xmlns_namespaces":726,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/get_data":836,"./constants":854,"./layout_attributes":858,"./layout_defaults":859,"./mapbox":860,d3:169,"mapbox-gl":447}],857:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../lib/svg_text_utils").sanitizeHTML,a=t("./convert_text_opts"),o=t("./constants");function s(t,e){this.subplot=t,this.uid=t.uid+"-"+e,this.index=e,this.idSource="source-"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if("string"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||"string"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case"circle":n.extendFlat(r,{"circle-radius":t.circle.radius,"circle-color":t.color,"circle-opacity":t.opacity});break;case"line":n.extendFlat(r,{"line-width":t.line.width,"line-color":t.color,"line-opacity":t.opacity,"line-dasharray":t.line.dash});break;case"fill":n.extendFlat(r,{"fill-color":t.color,"fill-outline-color":t.fill.outlinecolor,"fill-opacity":t.opacity});break;case"symbol":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{"icon-image":i.icon+"-15","icon-size":i.iconsize/10,"text-field":i.text,"text-size":i.textfont.size,"text-anchor":o.anchor,"text-offset":o.offset,"symbol-placement":i.placement}),n.extendFlat(r,{"icon-color":t.color,"text-color":i.textfont.color,"text-opacity":t.opacity});break;case"raster":n.extendFlat(r,{"raster-fade-duration":0,"raster-opacity":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&"image"===this.sourceType&&"image"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup["layout-"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates})},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};"geojson"===r?e="data":"vector"===r?e="string"==typeof n?"url":"tiles":"raster"===r?(e="tiles",a.tileSize=256):"image"===r&&(e="url",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.updateLayer=function(t){var e,r=this.subplot,n=u(t),i=this.subplot.belowLookup["layout-"+this.index];if("traces"===i)for(var a=r.getMapLayers(),s=0;s<a.length;s++){var l=a[s].id;if("string"==typeof l&&0===l.indexOf(o.traceLayerPrefix)){e=l;break}}else e=i;this.removeLayer(),c(t)&&r.addLayer({id:this.idLayer,source:this.idSource,"source-layer":t.sourcelayer||"",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:n.layout,paint:n.paint},e),this.layerType=t.type,this.below=i},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,"setLayoutProperty",e.layout),this.subplot.setOptions(this.idLayer,"setPaintProperty",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{"../../lib":750,"../../lib/svg_text_utils":774,"./constants":854,"./convert_text_opts":855}],858:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color").defaultLine,a=t("../domain").attributes,o=t("../font_attributes"),s=t("../../traces/scatter/attributes").textposition,l=t("../../plot_api/edit_types").overrideAll,c=t("../../plot_api/plot_template").templatedArray,u=t("./constants"),h=o({});h.family.dflt="Open Sans Regular, Arial Unicode MS Regular",(e.exports=l({_arrayAttrRegexps:[n.counterRegex("mapbox",".layers",!0)],domain:a({name:"mapbox"}),accesstoken:{valType:"string",noBlank:!0,strict:!0},style:{valType:"any",values:u.styleValuesMapbox.concat(u.styleValuesNonMapbox),dflt:u.styleValueDflt},center:{lon:{valType:"number",dflt:0},lat:{valType:"number",dflt:0}},zoom:{valType:"number",dflt:1},bearing:{valType:"number",dflt:0},pitch:{valType:"number",dflt:0},layers:c("layer",{visible:{valType:"boolean",dflt:!0},sourcetype:{valType:"enumerated",values:["geojson","vector","raster","image"],dflt:"geojson"},source:{valType:"any"},sourcelayer:{valType:"string",dflt:""},sourceattribution:{valType:"string"},type:{valType:"enumerated",values:["circle","line","fill","symbol","raster"],dflt:"circle"},coordinates:{valType:"any"},below:{valType:"string"},color:{valType:"color",dflt:i},opacity:{valType:"number",min:0,max:1,dflt:1},minzoom:{valType:"number",min:0,max:24,dflt:0},maxzoom:{valType:"number",min:0,max:24,dflt:24},circle:{radius:{valType:"number",dflt:15}},line:{width:{valType:"number",dflt:2},dash:{valType:"data_array"}},fill:{outlinecolor:{valType:"color",dflt:i}},symbol:{icon:{valType:"string",dflt:"marker"},iconsize:{valType:"number",dflt:10},text:{valType:"string",dflt:""},placement:{valType:"enumerated",values:["point","line","line-center"],dflt:"point"},textfont:h,textposition:n.extendFlat({},s,{arrayOk:!1})}})},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color":615,"../../lib":750,"../../plot_api/edit_types":781,"../../plot_api/plot_template":788,"../../traces/scatter/attributes":1158,"../domain":826,"../font_attributes":827,"./constants":854}],859:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../subplot_defaults"),a=t("../array_container_defaults"),o=t("./layout_attributes");function s(t,e,r,n){r("accesstoken",n.accessToken),r("style"),r("center.lon"),r("center.lat"),r("zoom"),r("bearing"),r("pitch"),a(t,e,{name:"layers",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r("visible")){var i,a=r("sourcetype"),s="raster"===a||"image"===a;r("source"),r("sourceattribution"),"vector"===a&&r("sourcelayer"),"image"===a&&r("coordinates"),s&&(i="raster");var l=r("type",i);s&&"raster"!==l&&(l=e.type="raster",n.log("Source types *raster* and *image* must drawn *raster* layer type.")),r("below"),r("color"),r("opacity"),r("minzoom"),r("maxzoom"),"circle"===l&&r("circle.radius"),"line"===l&&(r("line.width"),r("line.dash")),"fill"===l&&r("fill.outlinecolor"),"symbol"===l&&(r("symbol.icon"),r("symbol.iconsize"),r("symbol.text"),n.coerceFont(r,"symbol.textfont"),r("symbol.textposition"),r("symbol.placement"))}}e.exports=function(t,e,r){i(t,e,r,{type:"mapbox",attributes:o,handleDefaults:s,partition:"y",accessToken:e._mapboxAccessToken})}},{"../../lib":750,"../array_container_defaults":794,"../subplot_defaults":876,"./layout_attributes":858}],860:[function(t,e,r){"use strict";var n=t("mapbox-gl"),i=t("../../lib"),a=t("../../lib/geo_location_utils"),o=t("../../registry"),s=t("../cartesian/axes"),l=t("../../components/dragelement"),c=t("../../components/fx"),u=t("../../components/dragelement/helpers"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t("../cartesian/select").prepSelect,g=t("../cartesian/select").clearSelect,m=t("../cartesian/select").clearSelectionsCache,v=t("../cartesian/select").selectOnClick,y=t("./constants"),x=t("./layers");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+"-"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left="0px",c._canvas.style.top="0px",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once("load",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once("styledata",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;"string"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),""===n&&(o=!0),a["trace-"+s.uid]=n||""}for(r=0;r<i.length;r++){var c=i[r];n="string"==typeof c.below?c.below:o?"traces":"",a["layout-"+r]=n}var u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf("trace-")?(h=u.split("trace-")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf("layout-")&&(h=u.split("layout-")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):"string"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+"-"+y.styleUrlSuffix}function M(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on("render",(function r(){e.loaded()&&(e.off("render",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once("error",r),e.once("style.error",r),e.once("source.error",r),e.once("tile.error",r),e.once("layer.error",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement("div");r.id=e.uid,r.style.position="absolute",e.container.appendChild(r),e.xaxis={_id:"x",c2p:function(t){return e.project(t).x}},e.yaxis={_id:"y",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit("plotly_relayouting",r.getViewEditsWithDerived(t))}i.on("moveend",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call("_storeDirectGUIEdit",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit("plotly_relayout",r.getViewEditsWithDerived(a))}t.originalEvent&&"mouseup"===t.originalEvent.type?r.dragging=!1:r.wheeling&&(r.wheeling=!1),e._rehover&&e._rehover()}})),i.on("wheel",(function(){r.wheeling=!0})),i.on("mousemove",(function(t){var e=r.div.getBoundingClientRect();t.clientX=t.point.x+e.left,t.clientY=t.point.y+e.top,t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return t.lngLat.lng},r.yaxis.p2c=function(){return t.lngLat.lat},n._fullLayout._rehover=function(){n._fullLayout._hoversubplot===r.id&&n._fullLayout[r.id]&&c.hover(n,t,r.id)},c.hover(n,t,r.id),n._fullLayout._hoversubplot=r.id})),i.on("dragstart",(function(){r.dragging=!0,a()})),i.on("zoomstart",a),i.on("mouseout",(function(){n._fullLayout._hoversubplot=null})),i.on("drag",s),i.on("zoom",s),i.on("dblclick",(function(){var t=n._fullLayout[r.id];o.call("_storeDirectGUIEdit",n.layout,n._fullLayout._preGUI,r.getViewEdits(t));var e=r.viewInitial;i.setCenter(M(e.center)),i.setZoom(e.zoom),i.setBearing(e.bearing),i.setPitch(e.pitch);var a=r.getView();t._input.center=t.center=a.center,t._input.zoom=t.zoom=a.zoom,t._input.bearing=t.bearing=a.bearing,t._input.pitch=t.pitch=a.pitch,n.emit("plotly_doubleclick",null),n.emit("plotly_relayout",r.getViewEditsWithDerived(a))})),r.clearSelect=function(){m(r.dragOptions),g(r.dragOptions.gd)},r.onClickInPanFn=function(t){return function(e){var i=n._fullLayout.clickmode;i.indexOf("select")>-1&&v(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf("event")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=h(o)?function(t,r){(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]}:function(t,r,n){(t.lassoPoints={})[e.id]=n.filtered.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off("click",e.onClickInPanHandler),p(o)||f(o)?(r.dragPan.disable(),r.on("zoomstart",e.clearSelect),e.dragOptions.prepFn=function(t,r,n){d(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off("zoomstart",e.clearSelect),e.div.onmousedown=null,e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on("click",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+"px",n.height=r.h*(e.y[1]-e.y[0])+"px",n.left=r.l+e.x[0]*r.w+"px",n.top=r.t+(1-e.y[1])*r.h+"px",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(x(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if("string"==typeof e){if(""===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn(["Trying to add layer with *below* value",e,"referencing a layer that does not exist","or that does not yet exist."].join(" "))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=n.width,a=n.height;return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=["center","zoom","bearing","pitch"],n={},i=0;i<r.length;i++){var a=r[i];n[e+"."+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+"._derived"]=t._derived,r},e.exports=b},{"../../components/dragelement":634,"../../components/dragelement/helpers":633,"../../components/fx":655,"../../lib":750,"../../lib/geo_location_utils":743,"../../registry":882,"../cartesian/axes":799,"../cartesian/select":818,"./constants":854,"./layers":857,"mapbox-gl":447}],861:[function(t,e,r){"use strict";e.exports=function(t){var e=t.editType;return{t:{valType:"number",dflt:0,editType:e},r:{valType:"number",dflt:0,editType:e},b:{valType:"number",dflt:0,editType:e},l:{valType:"number",dflt:0,editType:e},editType:e}}},{}],862:[function(t,e,r){"use strict";var n=t("d3"),i=t("d3-time-format").timeFormatLocale,a=t("fast-isnumeric"),o=t("../registry"),s=t("../plot_api/plot_schema"),l=t("../plot_api/plot_template"),c=t("../lib"),u=t("../components/color"),h=t("../constants/numerical").BADNUM,f=t("./cartesian/axis_ids"),p=t("./cartesian/handle_outline").clearSelect,d=t("./animation_attributes"),g=t("./frame_attributes"),m=t("../plots/get_data").getModuleCalcData,v=c.relinkPrivateKeys,y=c._,x=e.exports={};c.extendFlat(x,o),x.attributes=t("./attributes"),x.attributes.type.values=x.allTypes,x.fontAttrs=t("./font_attributes"),x.layoutAttributes=t("./layout_attributes"),x.fontWeight="normal";var b=x.transformsRegistry,_=t("./command");x.executeAPICommand=_.executeAPICommand,x.computeAPICommandBindings=_.computeAPICommandBindings,x.manageCommandObserver=_.manageCommandObserver,x.hasSimpleAPICommandBindings=_.hasSimpleAPICommandBindings,x.redrawText=function(t){var e=(t=c.getGraphDiv(t))._fullLayout||{};if(!(!(e._has&&e._has("polar"))&&t.data&&t.data[0]&&t.data[0].r))return new Promise((function(e){setTimeout((function(){o.getComponentMethod("annotations","draw")(t),o.getComponentMethod("legend","draw")(t),o.getComponentMethod("colorbar","draw")(t),e(x.previousPromises(t))}),300)}))},x.resize=function(t){var e;t=c.getGraphDiv(t);var r=new Promise((function(r,n){t&&!c.isHidden(t)||n(new Error("Resize must be passed a displayed plot div element.")),t._redrawTimer&&clearTimeout(t._redrawTimer),t._resolveResize&&(e=t._resolveResize),t._resolveResize=r,t._redrawTimer=setTimeout((function(){if(!t.layout||t.layout.width&&t.layout.height||c.isHidden(t))r(t);else{delete t.layout.width,delete t.layout.height;var e=t.changed;t.autoplay=!0,o.call("relayout",t,{autosize:!0}).then((function(){t.changed=e,t._resolveResize===r&&(delete t._resolveResize,r(t))}))}}),100)}));return e&&e(r),r},x.previousPromises=function(t){if((t._promises||[]).length)return Promise.all(t._promises).then((function(){t._promises=[]}))},x.addLinks=function(t){if(t._context.showLink||t._context.showSources){var e=t._fullLayout,r=c.ensureSingle(e._paper,"text","js-plot-link-container",(function(t){t.style({"font-family":'"Open Sans", Arial, sans-serif',"font-size":"12px",fill:u.defaultLine,"pointer-events":"all"}).each((function(){var t=n.select(this);t.append("tspan").classed("js-link-to-tool",!0),t.append("tspan").classed("js-link-spacer",!0),t.append("tspan").classed("js-sourcelinks",!0)}))})),i=r.node(),a={y:e._paper.attr("height")-9};document.body.contains(i)&&i.getComputedTextLength()>=e.width-20?(a["text-anchor"]="start",a.x=5):(a["text-anchor"]="end",a.x=e._paper.attr("width")-7),r.attr(a);var o=r.select(".js-link-to-tool"),s=r.select(".js-link-spacer"),l=r.select(".js-sourcelinks");t._context.showSources&&t._context.showSources(t),t._context.showLink&&function(t,e){e.text("");var r=e.append("a").attr({"xlink:xlink:href":"#",class:"link--impt link--embedview","font-weight":"bold"}).text(t._context.linkText+" "+String.fromCharCode(187));if(t._context.sendData)r.on("click",(function(){x.sendDataToCloud(t)}));else{var n=window.location.pathname.split("/"),i=window.location.search;r.attr({"xlink:xlink:show":"new","xlink:xlink:href":"/"+n[2].split(".")[0]+"/"+n[1]+i})}}(t,o),s.text(o.text()&&l.text()?" - ":"")}},x.sendDataToCloud=function(t){var e=(window.PLOTLYENV||{}).BASE_URL||t._context.plotlyServerURL;if(e){t.emit("plotly_beforeexport");var r=n.select(t).append("div").attr("id","hiddenform").style("display","none"),i=r.append("form").attr({action:e+"/external",method:"post",target:"_blank"});return i.append("input").attr({type:"text",name:"data"}).node().value=x.graphJson(t,!1,"keepdata"),i.node().submit(),r.remove(),t.emit("plotly_afterexport"),!1}};var w=["days","shortDays","months","shortMonths","periods","dateTime","date","time","decimal","thousands","grouping","currency"],T=["year","month","dayMonth","dayMonthYear"];function k(t,e){var r=t._context.locale,n=!1,i={};function a(t){for(var r=!0,a=0;a<e.length;a++){var o=e[a];i[o]||(t[o]?i[o]=t[o]:r=!1)}r&&(n=!0)}for(var s=0;s<2;s++){for(var l=t._context.locales,c=0;c<2;c++){var u=(l[r]||{}).format;if(u&&(a(u),n))break;l=o.localeRegistry}var h=r.split("-")[0];if(n||h===r)break;r=h}return n||a(o.localeRegistry.en.format),i}function M(t,e){var r={_fullLayout:e},n="x"===t._id.charAt(0),i=t._mainAxis._anchorAxis,a="",o="",s="";if(i&&(s=i._mainAxis._id,a=n?t._id+s:s+t._id),!a||!e._plots[a]){a="";for(var l=t._counterAxes,c=0;c<l.length;c++){var u=l[c],h=n?t._id+u:u+t._id;o||(o=h);var p=f.getFromId(r,u);if(s&&p.overlaying===s){a=h;break}}}return a||o}function A(t){var e=t.transforms;if(Array.isArray(e)&&e.length)for(var r=0;r<e.length;r++){var n=e[r],i=n._module||b[n.type];if(i&&i.makesData)return!0}return!1}function S(t,e,r,n){for(var i=t.transforms,a=[t],o=0;o<i.length;o++){var s=i[o],l=b[s.type];l&&l.transform&&(a=l.transform(a,{transform:s,fullTrace:t,fullData:e,layout:r,fullLayout:n,transformIndex:o}))}return a}function E(t){return"string"==typeof t&&"px"===t.substr(t.length-2)&&parseFloat(t)}function C(t){var e=t.margin;if(!t._size){var r=t._size={l:Math.round(e.l),r:Math.round(e.r),t:Math.round(e.t),b:Math.round(e.b),p:Math.round(e.pad)};r.w=Math.round(t.width)-r.l-r.r,r.h=Math.round(t.height)-r.t-r.b}t._pushmargin||(t._pushmargin={}),t._pushmarginIds||(t._pushmarginIds={})}x.supplyDefaults=function(t,e){var r=e&&e.skipUpdateCalc,a=t._fullLayout||{};if(a._skipDefaults)delete a._skipDefaults;else{var s,l=t._fullLayout={},u=t.layout||{},h=t._fullData||[],f=t._fullData=[],d=t.data||[],g=t.calcdata||[],m=t._context||{};t._transitionData||x.createTransitionData(t),l._dfltTitle={plot:y(t,"Click to enter Plot title"),x:y(t,"Click to enter X axis title"),y:y(t,"Click to enter Y axis title"),colorbar:y(t,"Click to enter Colorscale title"),annotation:y(t,"new text")},l._traceWord=y(t,"trace");var b=k(t,w);if(l._mapboxAccessToken=m.mapboxAccessToken,a._initialAutoSizeIsDone){var _=a.width,M=a.height;x.supplyLayoutGlobalDefaults(u,l,b),u.width||(l.width=_),u.height||(l.height=M),x.sanitizeMargins(l)}else{x.supplyLayoutGlobalDefaults(u,l,b);var A=!u.width||!u.height,S=l.autosize,E=m.autosizable;A&&(S||E)?x.plotAutoSize(t,u,l):A&&x.sanitizeMargins(l),!S&&A&&(u.width=l.width,u.height=l.height)}l._d3locale=function(t,e){return t.decimal=e.charAt(0),t.thousands=e.charAt(1),{numberFormat:n.locale(t).numberFormat,timeFormat:i(t).utcFormat}}(b,l.separators),l._extraFormat=k(t,T),l._initialAutoSizeIsDone=!0,l._dataLength=d.length,l._modules=[],l._visibleModules=[],l._basePlotModules=[];var L=l._subplots=function(){var t,e,r=o.collectableSubplotTypes,n={};if(!r){r=[];var i=o.subplotsRegistry;for(var a in i){var s=i[a].attr;if(s&&(r.push(a),Array.isArray(s)))for(e=0;e<s.length;e++)c.pushUnique(r,s[e])}}for(t=0;t<r.length;t++)n[r[t]]=[];return n}(),P=l._splomAxes={x:{},y:{}},I=l._splomSubplots={};l._splomGridDflt={},l._scatterStackOpts={},l._firstScatter={},l._alignmentOpts={},l._colorAxes={},l._requestRangeslider={},l._traceUids=function(t,e){var r,n,i=e.length,a=[];for(r=0;r<t.length;r++){var o=t[r]._fullInput;o!==n&&a.push(o),n=o}var s=a.length,l=new Array(i),u={};function h(t,e){l[e]=t,u[t]=1}function f(t,e){if(t&&"string"==typeof t&&!u[t])return h(t,e),!0}for(r=0;r<i;r++){var p=e[r].uid;"number"==typeof p&&(p=String(p)),f(p,r)||(r<s&&f(a[r].uid,r)||h(c.randstr(u),r))}return l}(h,d),l._globalTransforms=(t._context||{}).globalTransforms,x.supplyDataDefaults(d,f,u,l);var z=Object.keys(P.x),O=Object.keys(P.y);if(z.length>1&&O.length>1){for(o.getComponentMethod("grid","sizeDefaults")(u,l),s=0;s<z.length;s++)c.pushUnique(L.xaxis,z[s]);for(s=0;s<O.length;s++)c.pushUnique(L.yaxis,O[s]);for(var D in I)c.pushUnique(L.cartesian,D)}if(l._has=x._hasPlotType.bind(l),h.length===f.length)for(s=0;s<f.length;s++)v(f[s],h[s]);x.supplyLayoutModuleDefaults(u,l,f,t._transitionData);var R=l._visibleModules,F=[];for(s=0;s<R.length;s++){var B=R[s].crossTraceDefaults;B&&c.pushUnique(F,B)}for(s=0;s<F.length;s++)F[s](f,l);l._hasOnlyLargeSploms=1===l._basePlotModules.length&&"splom"===l._basePlotModules[0].name&&z.length>15&&O.length>15&&0===l.shapes.length&&0===l.images.length,l._hasCartesian=l._has("cartesian"),l._hasGeo=l._has("geo"),l._hasGL3D=l._has("gl3d"),l._hasGL2D=l._has("gl2d"),l._hasTernary=l._has("ternary"),l._hasPie=l._has("pie"),x.linkSubplots(f,l,h,a),x.cleanPlot(f,l,h,a);var N=!(!a._has||!a._has("gl2d")),j=!(!l._has||!l._has("gl2d")),U=!(!a._has||!a._has("cartesian"))||N,V=!(!l._has||!l._has("cartesian"))||j;U&&!V?a._bgLayer.remove():V&&!U&&(l._shouldCreateBgLayer=!0),a._zoomlayer&&!t._dragging&&p({_fullLayout:a}),function(t,e){var r,n=[];e.meta&&(r=e._meta={meta:e.meta,layout:{meta:e.meta}});for(var i=0;i<t.length;i++){var a=t[i];a.meta?n[a.index]=a._meta={meta:a.meta}:e.meta&&(a._meta={meta:e.meta}),e.meta&&(a._meta.layout={meta:e.meta})}n.length&&(r||(r=e._meta={}),r.data=n)}(f,l),v(l,a),o.getComponentMethod("colorscale","crossTraceDefaults")(f,l),l._preGUI||(l._preGUI={}),l._tracePreGUI||(l._tracePreGUI={});var q,H=l._tracePreGUI,G={};for(q in H)G[q]="old";for(s=0;s<f.length;s++)G[q=f[s]._fullInput.uid]||(H[q]={}),G[q]="new";for(q in G)"old"===G[q]&&delete H[q];C(l),o.getComponentMethod("rangeslider","makeData")(l),r||g.length!==f.length||x.supplyDefaultsUpdateCalc(g,f)}},x.supplyDefaultsUpdateCalc=function(t,e){for(var r=0;r<e.length;r++){var n=e[r],i=(t[r]||[])[0];if(i&&i.trace){var a=i.trace;if(a._hasCalcTransform){var o,s,l,u=a._arrayAttrs;for(o=0;o<u.length;o++)s=u[o],l=c.nestedProperty(a,s).get().slice(),c.nestedProperty(n,s).set(l)}i.trace=n}}},x.createTransitionData=function(t){t._transitionData||(t._transitionData={}),t._transitionData._frames||(t._transitionData._frames=[]),t._transitionData._frameHash||(t._transitionData._frameHash={}),t._transitionData._counter||(t._transitionData._counter=0),t._transitionData._interruptCallbacks||(t._transitionData._interruptCallbacks=[])},x._hasPlotType=function(t){var e,r=this._basePlotModules||[];for(e=0;e<r.length;e++)if(r[e].name===t)return!0;var n=this._modules||[];for(e=0;e<n.length;e++){var i=n[e].name;if(i===t)return!0;var a=o.modules[i];if(a&&a.categories[t])return!0}return!1},x.cleanPlot=function(t,e,r,n){var i,a,o=n._basePlotModules||[];for(i=0;i<o.length;i++){var s=o[i];s.clean&&s.clean(t,e,r,n)}var l=n._has&&n._has("gl"),c=e._has&&e._has("gl");l&&!c&&void 0!==n._glcontainer&&(n._glcontainer.selectAll(".gl-canvas").remove(),n._glcontainer.selectAll(".no-webgl").remove(),n._glcanvas=null);var u=!!n._infolayer;t:for(i=0;i<r.length;i++){var h=r[i].uid;for(a=0;a<t.length;a++){if(h===t[a].uid)continue t}u&&n._infolayer.select(".cb"+h).remove()}},x.linkSubplots=function(t,e,r,n){var i,a,s=n._plots||{},l=e._plots={},u=e._subplots,h={_fullData:t,_fullLayout:e},p=u.cartesian.concat(u.gl2d||[]);for(i=0;i<p.length;i++){var d,g=p[i],m=s[g],v=f.getFromId(h,g,"x"),y=f.getFromId(h,g,"y");for(m?d=l[g]=m:(d=l[g]={}).id=g,v._counterAxes.push(y._id),y._counterAxes.push(v._id),v._subplotsWith.push(g),y._subplotsWith.push(g),d.xaxis=v,d.yaxis=y,d._hasClipOnAxisFalse=!1,a=0;a<t.length;a++){var x=t[a];if(x.xaxis===d.xaxis._id&&x.yaxis===d.yaxis._id&&!1===x.cliponaxis){d._hasClipOnAxisFalse=!0;break}}}var b,_=f.list(h,null,!0);for(i=0;i<_.length;i++){var w=null;(b=_[i]).overlaying&&(w=f.getFromId(h,b.overlaying))&&w.overlaying&&(b.overlaying=!1,w=null),b._mainAxis=w||b,w&&(b.domain=w.domain.slice()),b._anchorAxis="free"===b.anchor?null:f.getFromId(h,b.anchor)}for(i=0;i<_.length;i++)if((b=_[i])._counterAxes.sort(f.idSort),b._subplotsWith.sort(c.subplotSort),b._mainSubplot=M(b,e),b._counterAxes.length&&(b.spikemode&&-1!==b.spikemode.indexOf("across")||b.automargin&&b.mirror&&"free"!==b.anchor||o.getComponentMethod("rangeslider","isVisible")(b))){var T=1,k=0;for(a=0;a<b._counterAxes.length;a++){var A=f.getFromId(h,b._counterAxes[a]);T=Math.min(T,A.domain[0]),k=Math.max(k,A.domain[1])}T<k&&(b._counterDomainMin=T,b._counterDomainMax=k)}},x.clearExpandedTraceDefaultColors=function(t){var e,r,n;for(r=[],(e=t._module._colorAttrs)||(t._module._colorAttrs=e=[],s.crawl(t._module.attributes,(function(t,n,i,a){r[a]=n,r.length=a+1,"color"===t.valType&&void 0===t.dflt&&e.push(r.join("."))}))),n=0;n<e.length;n++){c.nestedProperty(t,"_input."+e[n]).get()||c.nestedProperty(t,e[n]).set(null)}},x.supplyDataDefaults=function(t,e,r,n){var i,a,s,u=n._modules,h=n._visibleModules,f=n._basePlotModules,p=0,d=0;function g(t){e.push(t);var r=t._module;r&&(c.pushUnique(u,r),!0===t.visible&&c.pushUnique(h,r),c.pushUnique(f,t._module.basePlotModule),p++,!1!==t._input.visible&&d++)}n._transformModules=[];var m={},y=[],b=(r.template||{}).data||{},_=l.traceTemplater(b);for(i=0;i<t.length;i++){if(s=t[i],(a=_.newTrace(s)).uid=n._traceUids[i],x.supplyTraceDefaults(s,a,d,n,i),a.index=i,a._input=s,a._expandedIndex=p,a.transforms&&a.transforms.length)for(var w=!1!==s.visible&&!1===a.visible,T=S(a,e,r,n),k=0;k<T.length;k++){var M=T[k],A={_template:a._template,type:a.type,uid:a.uid+k};w&&!1===M.visible&&delete M.visible,x.supplyTraceDefaults(M,A,p,n,i),v(A,M),A.index=i,A._input=s,A._fullInput=a,A._expandedIndex=p,A._expandedInput=M,g(A)}else a._fullInput=a,a._expandedInput=a,g(a);o.traceIs(a,"carpetAxis")&&(m[a.carpet]=a),o.traceIs(a,"carpetDependent")&&y.push(i)}for(i=0;i<y.length;i++)if((a=e[y[i]]).visible){var E=m[a.carpet];a._carpet=E,E&&E.visible?(a.xaxis=E.xaxis,a.yaxis=E.yaxis):a.visible=!1}},x.supplyAnimationDefaults=function(t){var e;t=t||{};var r={};function n(e,n){return c.coerce(t||{},r,d,e,n)}if(n("mode"),n("direction"),n("fromcurrent"),Array.isArray(t.frame))for(r.frame=[],e=0;e<t.frame.length;e++)r.frame[e]=x.supplyAnimationFrameDefaults(t.frame[e]||{});else r.frame=x.supplyAnimationFrameDefaults(t.frame||{});if(Array.isArray(t.transition))for(r.transition=[],e=0;e<t.transition.length;e++)r.transition[e]=x.supplyAnimationTransitionDefaults(t.transition[e]||{});else r.transition=x.supplyAnimationTransitionDefaults(t.transition||{});return r},x.supplyAnimationFrameDefaults=function(t){var e={};function r(r,n){return c.coerce(t||{},e,d.frame,r,n)}return r("duration"),r("redraw"),e},x.supplyAnimationTransitionDefaults=function(t){var e={};function r(r,n){return c.coerce(t||{},e,d.transition,r,n)}return r("duration"),r("easing"),e},x.supplyFrameDefaults=function(t){var e={};function r(r,n){return c.coerce(t,e,g,r,n)}return r("group"),r("name"),r("traces"),r("baseframe"),r("data"),r("layout"),e},x.supplyTraceDefaults=function(t,e,r,n,i){var a,s=n.colorway||u.defaults,l=s[r%s.length];function h(r,n){return c.coerce(t,e,x.attributes,r,n)}var f=h("visible");h("type"),h("name",n._traceWord+" "+i),h("uirevision",n.uirevision);var p=x.getModule(e);if(e._module=p,p){var d=p.basePlotModule,g=d.attr,m=d.attributes;if(g&&m){var v=n._subplots,y="";if(f||"gl2d"!==d.name){if(Array.isArray(g))for(a=0;a<g.length;a++){var b=g[a],_=c.coerce(t,e,m,b);v[b]&&c.pushUnique(v[b],_),y+=_}else y=c.coerce(t,e,m,g);v[d.name]&&c.pushUnique(v[d.name],y)}}}return f&&(h("customdata"),h("ids"),h("meta"),o.traceIs(e,"showLegend")?(c.coerce(t,e,p.attributes.showlegend?p.attributes:x.attributes,"showlegend"),h("legendgroup"),e._dfltShowLegend=!0):e._dfltShowLegend=!1,p&&p.supplyDefaults(t,e,l,n),o.traceIs(e,"noOpacity")||h("opacity"),o.traceIs(e,"notLegendIsolatable")&&(e.visible=!!e.visible),o.traceIs(e,"noHover")||(e.hovertemplate||c.coerceHoverinfo(t,e,n),"parcats"!==e.type&&o.getComponentMethod("fx","supplyDefaults")(t,e,l,n)),p&&p.selectPoints&&h("selectedpoints"),x.supplyTransformDefaults(t,e,n)),e},x.hasMakesDataTransform=A,x.supplyTransformDefaults=function(t,e,r){if(e._length||A(t)){var n=r._globalTransforms||[],i=r._transformModules||[];if(Array.isArray(t.transforms)||0!==n.length)for(var a=t.transforms||[],o=n.concat(a),s=e.transforms=[],l=0;l<o.length;l++){var u,h=o[l],f=h.type,p=b[f],d=!(h._module&&h._module===p),g=p&&"function"==typeof p.transform;p||c.warn("Unrecognized transform type "+f+"."),p&&p.supplyDefaults&&(d||g)?((u=p.supplyDefaults(h,e,r,t)).type=f,u._module=p,c.pushUnique(i,p)):u=c.extendFlat({},h),s.push(u)}}},x.supplyLayoutGlobalDefaults=function(t,e,r){function n(r,n){return c.coerce(t,e,x.layoutAttributes,r,n)}var i=t.template;c.isPlainObject(i)&&(e.template=i,e._template=i.layout,e._dataTemplate=i.data);var a=c.coerceFont(n,"font");n("title.text",e._dfltTitle.plot),c.coerceFont(n,"title.font",{family:a.family,size:Math.round(1.4*a.size),color:a.color}),n("title.xref"),n("title.yref"),n("title.x"),n("title.y"),n("title.xanchor"),n("title.yanchor"),n("title.pad.t"),n("title.pad.r"),n("title.pad.b"),n("title.pad.l"),n("uniformtext.mode")&&n("uniformtext.minsize"),n("autosize",!(t.width&&t.height)),n("width"),n("height"),n("margin.l"),n("margin.r"),n("margin.t"),n("margin.b"),n("margin.pad"),n("margin.autoexpand"),t.width&&t.height&&x.sanitizeMargins(e),o.getComponentMethod("grid","sizeDefaults")(t,e),n("paper_bgcolor"),n("separators",r.decimal+r.thousands),n("hidesources"),n("colorway"),n("datarevision");var s=n("uirevision");n("editrevision",s),n("selectionrevision",s),n("modebar.orientation"),n("modebar.bgcolor",u.addOpacity(e.paper_bgcolor,.5));var l=u.contrast(u.rgb(e.modebar.bgcolor));n("modebar.color",u.addOpacity(l,.3)),n("modebar.activecolor",u.addOpacity(l,.7)),n("modebar.uirevision",s),o.getComponentMethod("shapes","supplyDrawNewShapeDefaults")(t,e,n),n("meta"),c.isPlainObject(t.transition)&&(n("transition.duration"),n("transition.easing"),n("transition.ordering")),o.getComponentMethod("calendars","handleDefaults")(t,e,"calendar"),o.getComponentMethod("fx","supplyLayoutGlobalDefaults")(t,e,n)},x.plotAutoSize=function(t,e,r){var n,i,o=t._context||{},s=o.frameMargins,l=c.isPlotDiv(t);if(l&&t.emit("plotly_autosize"),o.fillFrame)n=window.innerWidth,i=window.innerHeight,document.body.style.overflow="hidden";else{var u=l?window.getComputedStyle(t):{};if(n=E(u.width)||E(u.maxWidth)||r.width,i=E(u.height)||E(u.maxHeight)||r.height,a(s)&&s>0){var h=1-2*s;n=Math.round(h*n),i=Math.round(h*i)}}var f=x.layoutAttributes.width.min,p=x.layoutAttributes.height.min;n<f&&(n=f),i<p&&(i=p);var d=!e.width&&Math.abs(r.width-n)>1,g=!e.height&&Math.abs(r.height-i)>1;(g||d)&&(d&&(r.width=n),g&&(r.height=i)),t._initialAutoSize||(t._initialAutoSize={width:n,height:i}),x.sanitizeMargins(r)},x.supplyLayoutModuleDefaults=function(t,e,r,n){var i,a,s,l=o.componentsRegistry,u=e._basePlotModules,h=o.subplotsRegistry.cartesian;for(i in l)(s=l[i]).includeBasePlot&&s.includeBasePlot(t,e);for(var f in u.length||u.push(h),e._has("cartesian")&&(o.getComponentMethod("grid","contentDefaults")(t,e),h.finalizeSubplots(t,e)),e._subplots)e._subplots[f].sort(c.subplotSort);for(a=0;a<u.length;a++)(s=u[a]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r);var p=e._modules;for(a=0;a<p.length;a++)(s=p[a]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r);var d=e._transformModules;for(a=0;a<d.length;a++)(s=d[a]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r,n);for(i in l)(s=l[i]).supplyLayoutDefaults&&s.supplyLayoutDefaults(t,e,r)},x.purge=function(t){var e=t._fullLayout||{};void 0!==e._glcontainer&&(e._glcontainer.selectAll(".gl-canvas").remove(),e._glcontainer.remove(),e._glcanvas=null),e._modeBar&&e._modeBar.destroy(),t._transitionData&&(t._transitionData._interruptCallbacks&&(t._transitionData._interruptCallbacks.length=0),t._transitionData._animationRaf&&window.cancelAnimationFrame(t._transitionData._animationRaf)),c.clearThrottle(),c.clearResponsive(t),delete t.data,delete t.layout,delete t._fullData,delete t._fullLayout,delete t.calcdata,delete t.framework,delete t.empty,delete t.fid,delete t.undoqueue,delete t.undonum,delete t.autoplay,delete t.changed,delete t._promises,delete t._redrawTimer,delete t._hmlumcount,delete t._hmpixcount,delete t._transitionData,delete t._transitioning,delete t._initialAutoSize,delete t._transitioningWithDuration,delete t._dragging,delete t._dragged,delete t._dragdata,delete t._hoverdata,delete t._snapshotInProgress,delete t._editing,delete t._mouseDownTime,delete t._legendMouseDownTime,t.removeAllListeners&&t.removeAllListeners()},x.style=function(t){var e,r=t._fullLayout._visibleModules,n=[];for(e=0;e<r.length;e++){var i=r[e];i.style&&c.pushUnique(n,i.style)}for(e=0;e<n.length;e++)n[e](t)},x.sanitizeMargins=function(t){if(t&&t.margin){var e,r=t.width,n=t.height,i=t.margin,a=r-(i.l+i.r),o=n-(i.t+i.b);a<0&&(e=(r-1)/(i.l+i.r),i.l=Math.floor(e*i.l),i.r=Math.floor(e*i.r)),o<0&&(e=(n-1)/(i.t+i.b),i.t=Math.floor(e*i.t),i.b=Math.floor(e*i.b))}},x.clearAutoMarginIds=function(t){t._fullLayout._pushmarginIds={}},x.allowAutoMargin=function(t,e){t._fullLayout._pushmarginIds[e]=1},x.autoMargin=function(t,e,r){var n=t._fullLayout,i=n._pushmargin,a=n._pushmarginIds;if(!1!==n.margin.autoexpand){if(r){var o=r.pad;if(void 0===o){var s=n.margin;o=Math.min(12,s.l,s.r,s.t,s.b)}r.l+r.r>.5*n.width&&(c.log("Margin push",e,"is too big in x, dropping"),r.l=r.r=0),r.b+r.t>.5*n.height&&(c.log("Margin push",e,"is too big in y, dropping"),r.b=r.t=0);var l=void 0!==r.xl?r.xl:r.x,u=void 0!==r.xr?r.xr:r.x,h=void 0!==r.yt?r.yt:r.y,f=void 0!==r.yb?r.yb:r.y;i[e]={l:{val:l,size:r.l+o},r:{val:u,size:r.r+o},b:{val:f,size:r.b+o},t:{val:h,size:r.t+o}},a[e]=1}else delete i[e],delete a[e];if(!n._replotting)return x.doAutoMargin(t)}},x.doAutoMargin=function(t){var e=t._fullLayout;e._size||(e._size={}),C(e);var r=e._size,n=e.margin,i=c.extendFlat({},r),s=n.l,l=n.r,u=n.t,h=n.b,f=e.width,p=e.height,d=e._pushmargin,g=e._pushmarginIds;if(!1!==e.margin.autoexpand){for(var m in d)g[m]||delete d[m];for(var v in d.base={l:{val:0,size:s},r:{val:1,size:l},t:{val:1,size:u},b:{val:0,size:h}},d){var y=d[v].l||{},b=d[v].b||{},_=y.val,w=y.size,T=b.val,k=b.size;for(var M in d){if(a(w)&&d[M].r){var A=d[M].r.val,S=d[M].r.size;if(A>_){var E=(w*A+(S-f)*_)/(A-_),L=(S*(1-_)+(w-f)*(1-A))/(A-_);E>=0&&L>=0&&f-(E+L)>0&&E+L>s+l&&(s=E,l=L)}}if(a(k)&&d[M].t){var P=d[M].t.val,I=d[M].t.size;if(P>T){var z=(k*P+(I-p)*T)/(P-T),O=(I*(1-T)+(k-p)*(1-P))/(P-T);z>=0&&O>=0&&p-(O+z)>0&&z+O>h+u&&(h=z,u=O)}}}}}if(r.l=Math.round(s),r.r=Math.round(l),r.t=Math.round(u),r.b=Math.round(h),r.p=Math.round(n.pad),r.w=Math.round(f)-r.l-r.r,r.h=Math.round(p)-r.t-r.b,!e._replotting&&x.didMarginChange(i,r)){"_redrawFromAutoMarginCount"in e?e._redrawFromAutoMarginCount++:e._redrawFromAutoMarginCount=1;var D=3*(1+Object.keys(g).length);if(e._redrawFromAutoMarginCount<D)return o.call("plot",t);e._size=i,c.warn("Too many auto-margin redraws.")}};var L=["l","r","t","b","p","w","h"];function P(t,e,r){var n=!1;var i=[x.previousPromises,function(){if(t._transitionData)return t._transitioning=!1,function(t){var e=Promise.resolve();if(!t)return e;for(;t.length;)e=e.then(t.shift());return e}(t._transitionData._interruptCallbacks)},r.prepareFn,x.rehover,function(){return t.emit("plotly_transitioning",[]),new Promise((function(i){t._transitioning=!0,e.duration>0&&(t._transitioningWithDuration=!0),t._transitionData._interruptCallbacks.push((function(){n=!0})),r.redraw&&t._transitionData._interruptCallbacks.push((function(){return o.call("redraw",t)})),t._transitionData._interruptCallbacks.push((function(){t.emit("plotly_transitioninterrupted",[])}));var a=0,s=0;function l(){return a++,function(){s++,n||s!==a||function(e){if(!t._transitionData)return;(function(t){if(t)for(;t.length;)t.shift()})(t._transitionData._interruptCallbacks),Promise.resolve().then((function(){if(r.redraw)return o.call("redraw",t)})).then((function(){t._transitioning=!1,t._transitioningWithDuration=!1,t.emit("plotly_transitioned",[])})).then(e)}(i)}}r.runFn(l),setTimeout(l())}))}],a=c.syncOrAsync(i,t);return a&&a.then||(a=Promise.resolve()),a.then((function(){return t}))}x.didMarginChange=function(t,e){for(var r=0;r<L.length;r++){var n=L[r],i=t[n],o=e[n];if(!a(i)||Math.abs(o-i)>1)return!0}return!1},x.graphJson=function(t,e,r,n,i,a){(i&&e&&!t._fullData||i&&!e&&!t._fullLayout)&&x.supplyDefaults(t);var o=i?t._fullData:t.data,s=i?t._fullLayout:t.layout,l=(t._transitionData||{})._frames;function u(t,e){if("function"==typeof t)return e?"_function_":null;if(c.isPlainObject(t)){var n,i={};return Object.keys(t).sort().forEach((function(a){if(-1===["_","["].indexOf(a.charAt(0)))if("function"!=typeof t[a]){if("keepdata"===r){if("src"===a.substr(a.length-3))return}else if("keepstream"===r){if("string"==typeof(n=t[a+"src"])&&n.indexOf(":")>0&&!c.isPlainObject(t.stream))return}else if("keepall"!==r&&"string"==typeof(n=t[a+"src"])&&n.indexOf(":")>0)return;i[a]=u(t[a],e)}else e&&(i[a]="_function")})),i}return Array.isArray(t)?t.map((function(t){return u(t,e)})):c.isTypedArray(t)?c.simpleMap(t,c.identity):c.isJSDate(t)?c.ms2DateTimeLocal(+t):t}var h={data:(o||[]).map((function(t){var r=u(t);return e&&delete r.fit,r}))};if(!e&&(h.layout=u(s),i)){var f=s._size;h.layout.computed={margin:{b:f.b,l:f.l,r:f.r,t:f.t}}}return t.framework&&t.framework.isPolar&&(h=t.framework.getConfig()),l&&(h.frames=u(l)),a&&(h.config=u(t._context,!0)),"object"===n?h:JSON.stringify(h)},x.modifyFrames=function(t,e){var r,n,i,a=t._transitionData._frames,o=t._transitionData._frameHash;for(r=0;r<e.length;r++)switch((n=e[r]).type){case"replace":i=n.value;var s=(a[n.index]||{}).name,l=i.name;a[n.index]=o[l]=i,l!==s&&(delete o[s],o[l]=i);break;case"insert":o[(i=n.value).name]=i,a.splice(n.index,0,i);break;case"delete":delete o[(i=a[n.index]).name],a.splice(n.index,1)}return Promise.resolve()},x.computeFrame=function(t,e){var r,n,i,a,o=t._transitionData._frameHash;if(!e)throw new Error("computeFrame must be given a string frame name");var s=o[e.toString()];if(!s)return!1;for(var l=[s],c=[s.name];s.baseframe&&(s=o[s.baseframe.toString()])&&-1===c.indexOf(s.name);)l.push(s),c.push(s.name);for(var u={};s=l.pop();)if(s.layout&&(u.layout=x.extendLayout(u.layout,s.layout)),s.data){if(u.data||(u.data=[]),!(n=s.traces))for(n=[],r=0;r<s.data.length;r++)n[r]=r;for(u.traces||(u.traces=[]),r=0;r<s.data.length;r++)null!=(i=n[r])&&(-1===(a=u.traces.indexOf(i))&&(a=u.data.length,u.traces[a]=i),u.data[a]=x.extendTrace(u.data[a],s.data[r]))}return u},x.recomputeFrameHash=function(t){for(var e=t._transitionData._frameHash={},r=t._transitionData._frames,n=0;n<r.length;n++){var i=r[n];i&&i.name&&(e[i.name]=i)}},x.extendObjectWithContainers=function(t,e,r){var n,i,a,o,s,l,u,h=c.extendDeepNoArrays({},e||{}),f=c.expandObjectPaths(h),p={};if(r&&r.length)for(a=0;a<r.length;a++)void 0===(i=(n=c.nestedProperty(f,r[a])).get())?c.nestedProperty(p,r[a]).set(null):(n.set(null),c.nestedProperty(p,r[a]).set(i));if(t=c.extendDeepNoArrays(t||{},f),r&&r.length)for(a=0;a<r.length;a++)if(l=c.nestedProperty(p,r[a]).get()){for(u=(s=c.nestedProperty(t,r[a])).get(),Array.isArray(u)||(u=[],s.set(u)),o=0;o<l.length;o++){var d=l[o];u[o]=null===d?null:x.extendObjectWithContainers(u[o],d)}s.set(u)}return t},x.dataArrayContainers=["transforms","dimensions"],x.layoutArrayContainers=o.layoutArrayContainers,x.extendTrace=function(t,e){return x.extendObjectWithContainers(t,e,x.dataArrayContainers)},x.extendLayout=function(t,e){return x.extendObjectWithContainers(t,e,x.layoutArrayContainers)},x.transition=function(t,e,r,n,i,a){var o={redraw:i.redraw},s={},l=[];return o.prepareFn=function(){for(var i=Array.isArray(e)?e.length:0,a=n.slice(0,i),o=0;o<a.length;o++){var u=a[o],h=t._fullData[u]._module;if(h){if(h.animatable){var f=h.basePlotModule.name;s[f]||(s[f]=[]),s[f].push(u)}t.data[a[o]]=x.extendTrace(t.data[a[o]],e[o])}}var p=c.expandObjectPaths(c.extendDeepNoArrays({},r)),d=/^[xy]axis[0-9]*$/;for(var g in p)d.test(g)&&delete p[g].range;x.extendLayout(t.layout,p),delete t.calcdata,x.supplyDefaults(t),x.doCalcdata(t);var m=c.expandObjectPaths(r);if(m){var v=t._fullLayout._plots;for(var y in v){var b=v[y],_=b.xaxis,w=b.yaxis,T=_.range.slice(),k=w.range.slice(),M=null,A=null,S=null,E=null;Array.isArray(m[_._name+".range"])?M=m[_._name+".range"].slice():Array.isArray((m[_._name]||{}).range)&&(M=m[_._name].range.slice()),Array.isArray(m[w._name+".range"])?A=m[w._name+".range"].slice():Array.isArray((m[w._name]||{}).range)&&(A=m[w._name].range.slice()),T&&M&&(_.r2l(T[0])!==_.r2l(M[0])||_.r2l(T[1])!==_.r2l(M[1]))&&(S={xr0:T,xr1:M}),k&&A&&(w.r2l(k[0])!==w.r2l(A[0])||w.r2l(k[1])!==w.r2l(A[1]))&&(E={yr0:k,yr1:A}),(S||E)&&l.push(c.extendFlat({plotinfo:b},S,E))}}return Promise.resolve()},o.runFn=function(e){var n,i,o=t._fullLayout._basePlotModules,u=l.length;if(r)for(i=0;i<o.length;i++)o[i].transitionAxes&&o[i].transitionAxes(t,l,a,e);for(var h in u?((n=c.extendFlat({},a)).duration=0,delete s.cartesian):n=a,s){var f=s[h];t._fullData[f[0]]._module.basePlotModule.plot(t,f,n,e)}},P(t,a,o)},x.transitionFromReact=function(t,e,r,n){var i=t._fullLayout,a=i.transition,o={},s=[];return o.prepareFn=function(){var t=i._plots;for(var a in o.redraw=!1,"some"===e.anim&&(o.redraw=!0),"some"===r.anim&&(o.redraw=!0),t){var l=t[a],u=l.xaxis,h=l.yaxis,f=n[u._name].range.slice(),p=n[h._name].range.slice(),d=u.range.slice(),g=h.range.slice();u.setScale(),h.setScale();var m=null,v=null;u.r2l(f[0])===u.r2l(d[0])&&u.r2l(f[1])===u.r2l(d[1])||(m={xr0:f,xr1:d}),h.r2l(p[0])===h.r2l(g[0])&&h.r2l(p[1])===h.r2l(g[1])||(v={yr0:p,yr1:g}),(m||v)&&s.push(c.extendFlat({plotinfo:l},m,v))}return Promise.resolve()},o.runFn=function(r){for(var n,i,o,l=t._fullData,u=t._fullLayout._basePlotModules,h=[],f=0;f<l.length;f++)h.push(f);function p(){for(var e=0;e<u.length;e++)u[e].transitionAxes&&u[e].transitionAxes(t,s,n,r)}function d(){for(var e=0;e<u.length;e++)u[e].plot(t,o,i,r)}s.length&&e.anim?"traces first"===a.ordering?(n=c.extendFlat({},a,{duration:0}),o=h,i=a,setTimeout(p,a.duration),d()):(n=a,o=null,i=c.extendFlat({},a,{duration:0}),setTimeout(d,n.duration),p()):s.length?(n=a,p()):e.anim&&(o=h,i=a,d())},P(t,a,o)},x.doCalcdata=function(t,e){var r,n,i,a,l=f.list(t),u=t._fullData,p=t._fullLayout,d=new Array(u.length),g=(t.calcdata||[]).slice();for(t.calcdata=d,p._numBoxes=0,p._numViolins=0,p._violinScaleGroupStats={},t._hmpixcount=0,t._hmlumcount=0,p._piecolormap={},p._sunburstcolormap={},p._treemapcolormap={},p._funnelareacolormap={},i=0;i<u.length;i++)Array.isArray(e)&&-1===e.indexOf(i)&&(d[i]=g[i]);for(i=0;i<u.length;i++)(r=u[i])._arrayAttrs=s.findArrayAttributes(r),r._extremes={};var m=p._subplots.polar||[];for(i=0;i<m.length;i++)l.push(p[m[i]].radialaxis,p[m[i]].angularaxis);for(var v in p._colorAxes){var y=p[v];!1!==y.cauto&&(delete y.cmin,delete y.cmax)}var x=!1;function _(e){if(r=u[e],n=r._module,!0===r.visible&&r.transforms){if(n&&n.calc){var i=n.calc(t,r);i[0]&&i[0].t&&i[0].t._scene&&delete i[0].t._scene.dirty}for(a=0;a<r.transforms.length;a++){var o=r.transforms[a];(n=b[o.type])&&n.calcTransform&&(r._hasCalcTransform=!0,x=!0,n.calcTransform(t,r,o))}}}function w(e,i){if(r=u[e],!!(n=r._module).isContainer===i){var o=[];if(!0===r.visible&&0!==r._length){delete r._indexToPoints;var s=r.transforms||[];for(a=s.length-1;a>=0;a--)if(s[a].enabled){r._indexToPoints=s[a]._indexToPoints;break}n&&n.calc&&(o=n.calc(t,r))}Array.isArray(o)&&o[0]||(o=[{x:h,y:h}]),o[0].t||(o[0].t={}),o[0].trace=r,d[e]=o}}for(z(l,u,p),i=0;i<u.length;i++)w(i,!0);for(i=0;i<u.length;i++)_(i);for(x&&z(l,u,p),i=0;i<u.length;i++)w(i,!0);for(i=0;i<u.length;i++)w(i,!1);O(t);var T=function(t,e){var r,n,i,a,s,l=[];function u(t,r,n){var i=r._id.charAt(0);if("histogram2dcontour"===t){var a=r._counterAxes[0],o=f.getFromId(e,a),s="x"===i||"x"===a&&"category"===o.type,l="y"===i||"y"===a&&"category"===o.type;return function(t,e){return 0===t||0===e||s&&t===n[e].length-1||l&&e===n.length-1?-1:("y"===i?e:t)-1}}return function(t,e){return"y"===i?e:t}}var h={min:function(t){return c.aggNums(Math.min,null,t)},max:function(t){return c.aggNums(Math.max,null,t)},sum:function(t){return c.aggNums((function(t,e){return t+e}),null,t)},total:function(t){return c.aggNums((function(t,e){return t+e}),null,t)},mean:function(t){return c.mean(t)},median:function(t){return c.median(t)}};for(r=0;r<t.length;r++){var p=t[r];if("category"===p.type){var d=p.categoryorder.match(I);if(d){var g=d[1],m=d[2],v=[];for(n=0;n<p._categories.length;n++)v.push([p._categories[n],[]]);for(n=0;n<p._traceIndices.length;n++){var y=p._traceIndices[n],x=e._fullData[y],b=p._id.charAt(0);if(!0===x.visible){var _=x.type;o.traceIs(x,"histogram")&&(delete x._xautoBinFinished,delete x._yautoBinFinished);var w=e.calcdata[y];for(i=0;i<w.length;i++){var T,k,M,A=w[i];if("splom"===_){var S=x._axesDim[p._id];if("y"===b){var E=x._diag[S][0];E&&(p=e._fullLayout[f.id2name(E)])}var C=A.trace.dimensions[S].values;for(a=0;a<C.length;a++)for(T=C[a],k=p._categoriesMap[T],s=0;s<A.trace.dimensions.length;s++)if(s!==S){var L=A.trace.dimensions[s];v[k][1].push(L.values[a])}}else if("scattergl"===_){for(a=0;a<A.t.x.length;a++)"x"===b&&(T=A.t.x[a],k=T,M=A.t.y[a]),"y"===b&&(T=A.t.y[a],k=T,M=A.t.x[a]),v[k][1].push(M);A.t&&A.t._scene&&delete A.t._scene.dirty}else if(A.hasOwnProperty("z")){M=A.z;var P=u(x.type,p,M);for(a=0;a<M.length;a++)for(s=0;s<M[a].length;s++)(k=P(s,a))+1&&v[k][1].push(M[a][s])}else for("x"===b?(T=A.p+1?A.p:A.x,M=A.s||A.v||A.y):"y"===b&&(T=A.p+1?A.p:A.y,M=A.s||A.v||A.x),Array.isArray(M)||(M=[M]),a=0;a<M.length;a++)v[T][1].push(M[a])}}}p._categoriesValue=v;var z=[];for(n=0;n<v.length;n++)z.push([v[n][0],h[g](v[n][1])]);z.sort((function(t,e){return t[1]-e[1]})),p._categoriesAggregatedValue=z,p._initialCategories=z.map((function(t){return t[0]})),"descending"===m&&p._initialCategories.reverse(),l=l.concat(p.sortByInitialCategories())}}}return l}(l,t);if(T.length){for(p._numBoxes=0,p._numViolins=0,i=0;i<T.length;i++)w(T[i],!0);for(i=0;i<T.length;i++)w(T[i],!1);O(t)}o.getComponentMethod("fx","calc")(t),o.getComponentMethod("errorbars","calc")(t)};var I=/(total|sum|min|max|mean|median) (ascending|descending)/;function z(t,e,r){var n,i,a,o={};for(n=0;n<t.length;n++)a=(i=t[n])._id,i.clearCalc(),"multicategory"===i.type&&i.setupMultiCategory(e),o[i._id]=1;var s=r._axisMatchGroups||[];for(n=0;n<s.length;n++)for(a in s[n])o[a]||(i=r[f.id2name(a)]).clearCalc()}function O(t){var e,r,n,i=t._fullLayout,a=i._visibleModules,o={};for(r=0;r<a.length;r++){var s=a[r],l=s.crossTraceCalc;if(l){var u=s.basePlotModule.name;o[u]?c.pushUnique(o[u],l):o[u]=[l]}}for(n in o){var h=o[n],f=i._subplots[n];if(Array.isArray(f))for(e=0;e<f.length;e++){var p=f[e],d="cartesian"===n?i._plots[p]:i[p];for(r=0;r<h.length;r++)h[r](t,d,p)}else for(r=0;r<h.length;r++)h[r](t)}}x.rehover=function(t){t._fullLayout._rehover&&t._fullLayout._rehover()},x.redrag=function(t){t._fullLayout._redrag&&t._fullLayout._redrag()},x.generalUpdatePerTraceModule=function(t,e,r,n){var i,a=e.traceHash,o={};for(i=0;i<r.length;i++){var s=r[i],l=s[0].trace;l.visible&&(o[l.type]=o[l.type]||[],o[l.type].push(s))}for(var u in a)if(!o[u]){var h=a[u][0];h[0].trace.visible=!1,o[u]=[h]}for(var f in o){var p=o[f];p[0][0].trace._module.plot(t,e,c.filterVisible(p),n)}e.traceHash=o},x.plotBasePlot=function(t,e,r,n,i){var a=o.getModule(t),s=m(e.calcdata,a)[0];a.plot(e,s,n,i)},x.cleanBasePlot=function(t,e,r,n,i){var a=i._has&&i._has(t),o=r._has&&r._has(t);a&&!o&&i["_"+t+"layer"].selectAll("g.trace").remove()}},{"../components/color":615,"../constants/numerical":725,"../lib":750,"../plot_api/plot_schema":787,"../plot_api/plot_template":788,"../plots/get_data":836,"../registry":882,"./animation_attributes":793,"./attributes":795,"./cartesian/axis_ids":802,"./cartesian/handle_outline":809,"./command":825,"./font_attributes":827,"./frame_attributes":828,"./layout_attributes":853,d3:169,"d3-time-format":166,"fast-isnumeric":241}],863:[function(t,e,r){"use strict";e.exports={attr:"subplot",name:"polar",axisNames:["angularaxis","radialaxis"],axisName2dataArray:{angularaxis:"theta",radialaxis:"r"},layerNames:["draglayer","plotbg","backplot","angular-grid","radial-grid","frontplot","angular-line","radial-line","angular-axis","radial-axis"],radialDragBoxSize:50,angularDragBoxSize:30,cornerLen:25,cornerHalfWidth:2,MINDRAG:8,MINZOOM:20,OFFEDGE:20}},{}],864:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../lib/polygon").tester,a=n.findIndexOfMin,o=n.isAngleInsideSector,s=n.angleDelta,l=n.angleDist;function c(t,e,r,n){var i,a,o=n[0],s=n[1],l=h(Math.sin(e)-Math.sin(t)),c=h(Math.cos(e)-Math.cos(t)),u=Math.tan(r),f=h(1/u),p=l/c,d=s-p*o;return f?l&&c?a=u*(i=d/(u-p)):c?(i=s*f,a=s):(i=o,a=o*u):l&&c?(i=0,a=d):c?(i=0,a=s):i=a=NaN,[i,a]}function u(t,e,r,i){return n.isFullCircle([e,r])?function(t,e){var r,n=e.length,i=new Array(n+1);for(r=0;r<n;r++){var a=e[r];i[r]=[t*Math.cos(a),t*Math.sin(a)]}return i[r]=i[0].slice(),i}(t,i):function(t,e,r,i){var s,u,h=i.length,f=[];function p(e){return[t*Math.cos(e),t*Math.sin(e)]}function d(t,e,r){return c(t,e,r,p(t))}function g(t){return n.mod(t,h)}function m(t){return o(t,[e,r])}var v=a(i,(function(t){return m(t)?l(t,e):1/0})),y=d(i[v],i[g(v-1)],e);for(f.push(y),s=v,u=0;u<h;s++,u++){var x=i[g(s)];if(!m(x))break;f.push(p(x))}var b=a(i,(function(t){return m(t)?l(t,r):1/0})),_=d(i[b],i[g(b+1)],r);return f.push(_),f.push([0,0]),f.push(f[0].slice()),f}(t,e,r,i)}function h(t){return Math.abs(t)>1e-10?t:0}function f(t,e,r){e=e||0,r=r||0;for(var n=t.length,i=new Array(n),a=0;a<n;a++){var o=t[a];i[a]=[e+o[0],r-o[1]]}return i}e.exports={isPtInsidePolygon:function(t,e,r,n,a){if(!o(e,n))return!1;var s,l;r[0]<r[1]?(s=r[0],l=r[1]):(s=r[1],l=r[0]);var c=i(u(s,n[0],n[1],a)),h=i(u(l,n[0],n[1],a)),f=[t*Math.cos(e),t*Math.sin(e)];return h.contains(f)&&!c.contains(f)},findPolygonOffset:function(t,e,r,n){for(var i=1/0,a=1/0,o=u(t,e,r,n),s=0;s<o.length;s++){var l=o[s];i=Math.min(i,l[0]),a=Math.min(a,-l[1])}return[i,a]},findEnclosingVertexAngles:function(t,e){var r=a(e,(function(e){var r=s(e,t);return r>0?r:1/0})),i=n.mod(r+1,e.length);return[e[r],e[i]]},findIntersectionXY:c,findXYatLength:function(t,e,r,n){var i=-e*r,a=e*e+1,o=2*(e*i-r),s=i*i+r*r-t*t,l=Math.sqrt(o*o-4*a*s),c=(-o+l)/(2*a),u=(-o-l)/(2*a);return[[c,e*c+i+n],[u,e*u+i+n]]},clampTiny:h,pathPolygon:function(t,e,r,n,i,a){return"M"+f(u(t,e,r,n),i,a).join("L")},pathPolygonAnnulus:function(t,e,r,n,i,a,o){var s,l;t<e?(s=t,l=e):(s=e,l=t);var c=f(u(s,r,n,i),a,o);return"M"+f(u(l,r,n,i),a,o).reverse().join("L")+"M"+c.join("L")}}},{"../../lib":750,"../../lib/polygon":762}],865:[function(t,e,r){"use strict";var n=t("../get_data").getSubplotCalcData,i=t("../../lib").counterRegex,a=t("./polar"),o=t("./constants"),s=o.attr,l=o.name,c=i(l),u={};u[s]={valType:"subplotid",dflt:l,editType:"calc"},e.exports={attr:s,name:l,idRoot:l,idRegex:c,attrRegex:c,attributes:u,layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[l],o=0;o<i.length;o++){var s=i[o],c=n(r,l,s),u=e[s]._subplot;u||(u=a(t,s),e[s]._subplot=u),u.plot(c,e,t._promises)}},clean:function(t,e,r,n){for(var i=n._subplots[l]||[],a=n._has&&n._has("gl"),o=e._has&&e._has("gl"),s=a&&!o,c=0;c<i.length;c++){var u=i[c],h=n[u]._subplot;if(!e[u]&&h)for(var f in h.framework.remove(),h.layers["radial-axis-title"].remove(),h.clipPaths)h.clipPaths[f].remove();s&&h._scene&&(h._scene.destroy(),h._scene=null)}},toSVG:t("../cartesian").toSVG}},{"../../lib":750,"../cartesian":812,"../get_data":836,"./constants":863,"./layout_attributes":866,"./layout_defaults":867,"./polar":874}],866:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../cartesian/layout_attributes"),a=t("../domain").attributes,o=t("../../lib").extendFlat,s=t("../../plot_api/edit_types").overrideAll,l=s({color:i.color,showline:o({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:o({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth},"plot","from-root"),c=s({tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,layer:i.layer},"plot","from-root"),u={visible:o({},i.visible,{dflt:!0}),type:o({},i.type,{values:["-","linear","log","date","category"]}),autorange:o({},i.autorange,{editType:"plot"}),rangemode:{valType:"enumerated",values:["tozero","nonnegative","normal"],dflt:"tozero",editType:"calc"},range:o({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],editType:"plot"}),categoryorder:i.categoryorder,categoryarray:i.categoryarray,angle:{valType:"angle",editType:"plot"},side:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"clockwise",editType:"plot"},title:{text:o({},i.title.text,{editType:"plot",dflt:""}),font:o({},i.title.font,{editType:"plot"}),editType:"plot"},hoverformat:i.hoverformat,uirevision:{valType:"any",editType:"none"},editType:"calc",_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}};o(u,l,c);var h={visible:o({},i.visible,{dflt:!0}),type:{valType:"enumerated",values:["-","linear","category"],dflt:"-",editType:"calc",_noTemplating:!0},categoryorder:i.categoryorder,categoryarray:i.categoryarray,thetaunit:{valType:"enumerated",values:["radians","degrees"],dflt:"degrees",editType:"calc"},period:{valType:"number",editType:"calc",min:0},direction:{valType:"enumerated",values:["counterclockwise","clockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"angle",editType:"calc"},hoverformat:i.hoverformat,uirevision:{valType:"any",editType:"none"},editType:"calc"};o(h,l,c),e.exports={domain:a({name:"polar",editType:"plot"}),sector:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],dflt:[0,360],editType:"plot"},hole:{valType:"number",min:0,max:1,dflt:0,editType:"plot"},bgcolor:{valType:"color",editType:"plot",dflt:n.background},radialaxis:u,angularaxis:h,gridshape:{valType:"enumerated",values:["circular","linear"],dflt:"circular",editType:"plot"},uirevision:{valType:"any",editType:"none"},editType:"calc"}},{"../../components/color/attributes":614,"../../lib":750,"../../plot_api/edit_types":781,"../cartesian/layout_attributes":813,"../domain":826}],867:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../plot_api/plot_template"),o=t("../subplot_defaults"),s=t("../get_data").getSubplotData,l=t("../cartesian/tick_value_defaults"),c=t("../cartesian/tick_mark_defaults"),u=t("../cartesian/tick_label_defaults"),h=t("../cartesian/category_order_defaults"),f=t("../cartesian/line_grid_defaults"),p=t("../cartesian/axis_autotype"),d=t("./layout_attributes"),g=t("./set_convert"),m=t("./constants"),v=m.axisNames;function y(t,e,r,o){var p=r("bgcolor");o.bgColor=i.combine(p,o.paper_bgcolor);var y=r("sector");r("hole");var b,_=s(o.fullData,m.name,o.id),w=o.layoutOut;function T(t,e){return r(b+"."+t,e)}for(var k=0;k<v.length;k++){b=v[k],n.isPlainObject(t[b])||(t[b]={});var M=t[b],A=a.newContainer(e,b);A._id=A._name=b,A._attr=o.id+"."+b,A._traceIndices=_.map((function(t){return t._expandedIndex}));var S=m.axisName2dataArray[b],E=x(M,A,T,_,S);h(M,A,T,{axData:_,dataAttr:S});var C,L,P=T("visible");switch(g(A,e,w),T("uirevision",e.uirevision),P&&(L=(C=T("color"))===M.color?C:o.font.color),A._m=1,b){case"radialaxis":var I=T("autorange",!A.isValidRange(M.range));M.autorange=I,!I||"linear"!==E&&"-"!==E||T("rangemode"),"reversed"===I&&(A._m=-1),T("range"),A.cleanRange("range",{dfltRange:[0,1]}),P&&(T("side"),T("angle",y[0]),T("title.text"),n.coerceFont(T,"title.font",{family:o.font.family,size:Math.round(1.2*o.font.size),color:L}));break;case"angularaxis":if("date"===E){n.log("Polar plots do not support date angular axes yet.");for(var z=0;z<_.length;z++)_[z].visible=!1;E=M.type=A.type="linear"}T("linear"===E?"thetaunit":"period");var O=T("direction");T("rotation",{counterclockwise:0,clockwise:90}[O])}if(P)l(M,A,T,A.type),u(M,A,T,A.type,{tickSuffixDflt:"degrees"===A.thetaunit?"\xb0":void 0}),c(M,A,T,{outerTicks:!0}),T("showticklabels")&&(n.coerceFont(T,"tickfont",{family:o.font.family,size:o.font.size,color:L}),T("tickangle"),T("tickformat")),f(M,A,T,{dfltColor:C,bgColor:o.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:d[b]}),T("layer");"category"!==E&&T("hoverformat"),A._input=M}"category"===e.angularaxis.type&&r("gridshape")}function x(t,e,r,n,i){if("-"===r("type")){for(var a,o=0;o<n.length;o++)if(n[o].visible){a=n[o];break}a&&a[i]&&(e.type=p(a[i],"gregorian")),"-"===e.type?e.type="linear":t.type=e.type}return e.type}e.exports=function(t,e,r){o(t,e,r,{type:m.name,attributes:d,handleDefaults:y,font:e.font,paper_bgcolor:e.paper_bgcolor,fullData:r,layoutOut:e})}},{"../../components/color":615,"../../lib":750,"../../plot_api/plot_template":788,"../cartesian/axis_autotype":800,"../cartesian/category_order_defaults":803,"../cartesian/line_grid_defaults":815,"../cartesian/tick_label_defaults":820,"../cartesian/tick_mark_defaults":821,"../cartesian/tick_value_defaults":822,"../get_data":836,"../subplot_defaults":876,"./constants":863,"./layout_attributes":866,"./set_convert":875}],868:[function(t,e,r){"use strict";var n=t("../../../traces/scatter/attributes"),i=n.marker,a=t("../../../lib/extend").extendFlat;["Area traces are deprecated!","Please switch to the *barpolar* trace type."].join(" ");e.exports={r:a({},n.r,{}),t:a({},n.t,{}),marker:{color:a({},i.color,{}),size:a({},i.size,{}),symbol:a({},i.symbol,{}),opacity:a({},i.opacity,{}),editType:"calc"}}},{"../../../lib/extend":740,"../../../traces/scatter/attributes":1158}],869:[function(t,e,r){"use strict";var n=t("../../cartesian/layout_attributes"),i=t("../../../lib/extend").extendFlat,a=t("../../../plot_api/edit_types").overrideAll,o=["Legacy polar charts are deprecated!","Please switch to *polar* subplots."].join(" "),s=i({},n.domain,{});function l(t,e){return i({},e,{showline:{valType:"boolean"},showticklabels:{valType:"boolean"},tickorientation:{valType:"enumerated",values:["horizontal","vertical"]},ticklen:{valType:"number",min:0},tickcolor:{valType:"color"},ticksuffix:{valType:"string"},endpadding:{valType:"number",description:o},visible:{valType:"boolean"}})}e.exports=a({radialaxis:l(0,{range:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},domain:s,orientation:{valType:"number"}}),angularaxis:l(0,{range:{valType:"info_array",items:[{valType:"number",dflt:0},{valType:"number",dflt:360}]},domain:s}),layout:{direction:{valType:"enumerated",values:["clockwise","counterclockwise"]},orientation:{valType:"angle"}}},"plot","nested")},{"../../../lib/extend":740,"../../../plot_api/edit_types":781,"../../cartesian/layout_attributes":813}],870:[function(t,e,r){"use strict";(e.exports=t("./micropolar")).manager=t("./micropolar_manager")},{"./micropolar":871,"./micropolar_manager":872}],871:[function(t,e,r){var n=t("d3"),i=t("../../../lib").extendDeepAll,a=t("../../../constants/alignment").MID_SHIFT,o=e.exports={version:"0.2.2"};o.Axis=function(){var t,e,r,s,l={data:[],layout:{}},c={},u={},h=n.dispatch("hover"),f={};return f.render=function(c){return function(c){e=c||e;var h=l.data,f=l.layout;("string"==typeof e||e.nodeName)&&(e=n.select(e)),e.datum(h).each((function(e,l){var c=e.slice();u={data:o.util.cloneJson(c),layout:o.util.cloneJson(f)};var h=0;c.forEach((function(t,e){t.color||(t.color=f.defaultColorRange[h],h=(h+1)%f.defaultColorRange.length),t.strokeColor||(t.strokeColor="LinePlot"===t.geometry?t.color:n.rgb(t.color).darker().toString()),u.data[e].color=t.color,u.data[e].strokeColor=t.strokeColor,u.data[e].strokeDash=t.strokeDash,u.data[e].strokeSize=t.strokeSize}));var p=c.filter((function(t,e){var r=t.visible;return"undefined"==typeof r||!0===r})),d=!1,g=p.map((function(t,e){return d=d||"undefined"!=typeof t.groupId,t}));if(d){var m=n.nest().key((function(t,e){return"undefined"!=typeof t.groupId?t.groupId:"unstacked"})).entries(g),v=[],y=m.map((function(t,e){if("unstacked"===t.key)return t.values;var r=t.values[0].r.map((function(t,e){return 0}));return t.values.forEach((function(t,e,n){t.yStack=[r],v.push(r),r=o.util.sumArrays(t.r,r)})),t.values}));p=n.merge(y)}p.forEach((function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]}));var x=Math.min(f.width-f.margin.left-f.margin.right,f.height-f.margin.top-f.margin.bottom)/2;x=Math.max(10,x);var b,_=[f.margin.left+x,f.margin.top+x];d?b=[0,n.max(o.util.sumArrays(o.util.arrayLast(p).r[0],o.util.arrayLast(v)))]:b=n.extent(o.util.flattenArray(p.map((function(t,e){return t.r}))));f.radialAxis.domain!=o.DATAEXTENT&&(b[0]=0),r=n.scale.linear().domain(f.radialAxis.domain!=o.DATAEXTENT&&f.radialAxis.domain?f.radialAxis.domain:b).range([0,x]),u.layout.radialAxis.domain=r.domain();var w,T=o.util.flattenArray(p.map((function(t,e){return t.t}))),k="string"==typeof T[0];k&&(T=o.util.deduplicate(T),w=T.slice(),T=n.range(T.length),p=p.map((function(t,e){var r=t;return t.t=[T],d&&(r.yStack=t.yStack),r})));var M=p.filter((function(t,e){return"LinePlot"===t.geometry||"DotPlot"===t.geometry})).length===p.length,A=null===f.needsEndSpacing?k||!M:f.needsEndSpacing,S=f.angularAxis.domain&&f.angularAxis.domain!=o.DATAEXTENT&&!k&&f.angularAxis.domain[0]>=0?f.angularAxis.domain:n.extent(T),E=Math.abs(T[1]-T[0]);M&&!k&&(E=0);var C=S.slice();A&&k&&(C[1]+=E);var L=f.angularAxis.ticksCount||4;L>8&&(L=L/(L/8)+L%8),f.angularAxis.ticksStep&&(L=(C[1]-C[0])/L);var P=f.angularAxis.ticksStep||(C[1]-C[0])/(L*(f.minorTicks+1));w&&(P=Math.max(Math.round(P),1)),C[2]||(C[2]=P);var I=n.range.apply(this,C);if(I=I.map((function(t,e){return parseFloat(t.toPrecision(12))})),s=n.scale.linear().domain(C.slice(0,2)).range("clockwise"===f.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,"undefined"==typeof(t=n.select(this).select("svg.chart-root"))||t.empty()){var z=(new DOMParser).parseFromString("<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + '</svg>","application/xml"),O=this.appendChild(this.ownerDocument.importNode(z.documentElement,!0));t=n.select(O)}t.select(".guides-group").style({"pointer-events":"none"}),t.select(".angular.axis-group").style({"pointer-events":"none"}),t.select(".radial.axis-group").style({"pointer-events":"none"});var D,R=t.select(".chart-group"),F={fill:"none",stroke:f.tickColor},B={"font-size":f.font.size,"font-family":f.font.family,fill:f.font.color,"text-shadow":["-1px 0px","1px -1px","-1px 1px","1px 1px"].map((function(t,e){return" "+t+" 0 "+f.font.outlineColor})).join(",")};if(f.showLegend){D=t.select(".legend-group").attr({transform:"translate("+[x,f.margin.top]+")"}).style({display:"block"});var N=p.map((function(t,e){var r=o.util.cloneJson(t);return r.symbol="DotPlot"===t.geometry?t.dotType||"circle":"LinePlot"!=t.geometry?"square":"line",r.visibleInLegend="undefined"==typeof t.visibleInLegend||t.visibleInLegend,r.color="LinePlot"===t.geometry?t.strokeColor:t.color,r}));o.Legend().config({data:p.map((function(t,e){return t.name||"Element"+e})),legendConfig:i({},o.Legend.defaultConfig().legendConfig,{container:D,elements:N,reverseOrder:f.legend.reverseOrder})})();var j=D.node().getBBox();x=Math.min(f.width-j.width-f.margin.left-f.margin.right,f.height-f.margin.top-f.margin.bottom)/2,x=Math.max(10,x),_=[f.margin.left+x,f.margin.top+x],r.range([0,x]),u.layout.radialAxis.domain=r.domain(),D.attr("transform","translate("+[_[0]+x,_[1]-x]+")")}else D=t.select(".legend-group").style({display:"none"});t.attr({width:f.width,height:f.height}).style({opacity:f.opacity}),R.attr("transform","translate("+_+")").style({cursor:"crosshair"});var U=[(f.width-(f.margin.left+f.margin.right+2*x+(j?j.width:0)))/2,(f.height-(f.margin.top+f.margin.bottom+2*x))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(".outer-group").attr("transform","translate("+U+")"),f.title&&f.title.text){var V=t.select("g.title-group text").style(B).text(f.title.text),q=V.node().getBBox();V.attr({x:_[0]-q.width/2,y:_[1]-x-20})}var H=t.select(".radial.axis-group");if(f.radialAxis.gridLinesVisible){var G=H.selectAll("circle.grid-circle").data(r.ticks(5));G.enter().append("circle").attr({class:"grid-circle"}).style(F),G.attr("r",r),G.exit().remove()}H.select("circle.outside-circle").attr({r:x}).style(F);var Y=t.select("circle.background-circle").attr({r:x}).style({fill:f.backgroundColor,stroke:f.stroke});function W(t,e){return s(t)%360+f.orientation}if(f.radialAxis.visible){var Z=n.svg.axis().scale(r).ticks(5).tickSize(5);H.call(Z).attr({transform:"rotate("+f.radialAxis.orientation+")"}),H.selectAll(".domain").style(F),H.selectAll("g>text").text((function(t,e){return this.textContent+f.radialAxis.ticksSuffix})).style(B).style({"text-anchor":"start"}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return"horizontal"===f.radialAxis.tickOrientation?"rotate("+-f.radialAxis.orientation+") translate("+[0,B["font-size"]]+")":"translate("+[0,B["font-size"]]+")"}}),H.selectAll("g>line").style({stroke:"black"})}var X=t.select(".angular.axis-group").selectAll("g.angular-tick").data(I),J=X.enter().append("g").classed("angular-tick",!0);X.attr({transform:function(t,e){return"rotate("+W(t)+")"}}).style({display:f.angularAxis.visible?"block":"none"}),X.exit().remove(),J.append("line").classed("grid-line",!0).classed("major",(function(t,e){return e%(f.minorTicks+1)==0})).classed("minor",(function(t,e){return!(e%(f.minorTicks+1)==0)})).style(F),J.selectAll(".minor").style({stroke:f.minorTickColor}),X.select("line.grid-line").attr({x1:f.tickLength?x-f.tickLength:0,x2:x}).style({display:f.angularAxis.gridLinesVisible?"block":"none"}),J.append("text").classed("axis-text",!0).style(B);var K=X.select("text.axis-text").attr({x:x+f.labelOffset,dy:a+"em",transform:function(t,e){var r=W(t),n=x+f.labelOffset,i=f.angularAxis.tickOrientation;return"horizontal"==i?"rotate("+-r+" "+n+" 0)":"radial"==i?r<270&&r>90?"rotate(180 "+n+" 0)":null:"rotate("+(r<=180&&r>0?-90:90)+" "+n+" 0)"}}).style({"text-anchor":"middle",display:f.angularAxis.labelsVisible?"block":"none"}).text((function(t,e){return e%(f.minorTicks+1)!=0?"":w?w[t]+f.angularAxis.ticksSuffix:t+f.angularAxis.ticksSuffix})).style(B);f.angularAxis.rewriteTicks&&K.text((function(t,e){return e%(f.minorTicks+1)!=0?"":f.angularAxis.rewriteTicks(this.textContent,e)}));var Q=n.max(R.selectAll(".angular-tick text")[0].map((function(t,e){return t.getCTM().e+t.getBBox().width})));D.attr({transform:"translate("+[x+Q,f.margin.top]+")"});var $=t.select("g.geometry-group").selectAll("g").size()>0,tt=t.select("g.geometry-group").selectAll("g.geometry").data(p);if(tt.enter().append("g").attr({class:function(t,e){return"geometry geometry"+e}}),tt.exit().remove(),p[0]||$){var et=[];p.forEach((function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter((function(t,r){return r==e})),n.geometry=t.geometry,n.orientation=f.orientation,n.direction=f.direction,n.index=e,et.push({data:t,geometryConfig:n})}));var rt=n.nest().key((function(t,e){return"undefined"!=typeof t.data.groupId||"unstacked"})).entries(et),nt=[];rt.forEach((function(t,e){"unstacked"===t.key?nt=nt.concat(t.values.map((function(t,e){return[t]}))):nt.push(t.values)})),nt.forEach((function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map((function(t,e){return i(o[r].defaultConfig(),t)}));o[r]().config(n)()}))}var it,at,ot=t.select(".guides-group"),st=t.select(".tooltips-group"),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,hasTick:!0})();if(!k){var ht=ot.select("line").attr({x1:0,y1:0,y2:0}).style({stroke:"grey","pointer-events":"none"});R.on("mousemove.angular-guide",(function(t,e){var r=o.util.getMousePos(Y).angle;ht.attr({x2:-x,transform:"rotate("+r+")"}).style({opacity:.5});var n=(r+180+360-f.orientation)%360;it=s.invert(n);var i=o.util.convertToCartesian(x+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])})).on("mouseout.angular-guide",(function(t,e){ot.select("line").style({opacity:0})}))}var ft=ot.select("circle").style({stroke:"grey",fill:"none"});R.on("mousemove.radial-guide",(function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(Y).radius);var i=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])})).on("mouseout.radial-guide",(function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()})),t.selectAll(".geometry-group .mark").on("mouseover.tooltip",(function(e,r){var i=n.select(this),a=this.style.fill,s="black",l=this.style.opacity||1;if(i.attr({"data-opacity":l}),a&&"none"!==a){i.attr({"data-fill":a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};k&&(c.t=w[e[0]]);var u="t: "+c.t+", r: "+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-U[0]-f.left,h.top+h.height/2-U[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else a=this.style.stroke||"black",i.attr({"data-stroke":a}),s=n.hsl(a).darker().toString(),i.style({stroke:s,opacity:1})})).on("mousemove.tooltip",(function(t,e){if(0!=n.event.which)return!1;n.select(this).attr("data-fill")&&ut.show()})).on("mouseout.tooltip",(function(t,e){ut.hide();var r=n.select(this),i=r.attr("data-fill");i?r.style({fill:i,opacity:r.attr("data-opacity")}):r.style({stroke:r.attr("data-stroke"),opacity:r.attr("data-opacity")})}))}))}(c),this},f.config=function(t){if(!arguments.length)return l;var e=o.util.cloneJson(t);return e.data.forEach((function(t,e){l.data[e]||(l.data[e]={}),i(l.data[e],o.Axis.defaultConfig().data[0]),i(l.data[e],t)})),i(l.layout,o.Axis.defaultConfig().layout),i(l.layout,e.layout),this},f.getLiveConfig=function(){return u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,"on"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:"Line1",geometry:"LinePlot",color:null,strokeDash:"solid",strokeColor:null,strokeSize:"1",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:"gray",outlineColor:"white",family:"Tahoma, sans-serif"},direction:"clockwise",orientation:0,labelOffset:10,radialAxis:{domain:null,orientation:-45,ticksSuffix:"",visible:!0,gridLinesVisible:!0,tickOrientation:"horizontal",rewriteTicks:null},angularAxis:{domain:[0,360],ticksSuffix:"",visible:!0,gridLinesVisible:!0,labelsVisible:!0,tickOrientation:"horizontal",rewriteTicks:null,ticksCount:null,ticksStep:null},minorTicks:0,tickLength:null,tickColor:"silver",minorTickColor:"#eee",backgroundColor:"none",needsEndSpacing:null,showLegend:!0,legend:{reverseOrder:!1},opacity:1}}},o.util={},o.DATAEXTENT="dataExtent",o.AREA="AreaChart",o.LINE="LinePlot",o.DOT="DotPlot",o.BAR="BarChart",o.util._override=function(t,e){for(var r in t)r in e&&(e[r]=t[r])},o.util._extend=function(t,e){for(var r in t)e[r]=t[r]},o.util._rndSnd=function(){return 2*Math.random()-1+(2*Math.random()-1)+(2*Math.random()-1)},o.util.dataFromEquation2=function(t,e){var r=e||6;return n.range(0,360+r,r).map((function(e,r){var n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var i=e||6,a=[],o=[];n.range(0,360+i,i).forEach((function(e,r){var n=e*Math.PI/180,i=t(n);a.push(e),o.push(i)}));var s={t:a,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if("undefined"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){"string"==typeof e&&(e=e.split("."));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],i=e[1],a={};return a.x=r,a.y=i,a.pos=e,a.angle=180*(Math.atan2(i,r)+Math.PI)/Math.PI,a.radius=Math.sqrt(r*r+i*i),a},o.util.duplicatesCount=function(t){for(var e,r={},n={},i=0,a=t.length;i<a;i++)(e=t[i])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var i=r.slice();r=e,e=i}var a=e.reduce((function(t,e){if("undefined"!=typeof t)return t[e]}),t);"undefined"!=typeof a&&(e.reduce((function(t,r,n){if("undefined"!=typeof t)return n===e.length-1&&delete t[r],t[r]}),t),r.reduce((function(t,e,n){return"undefined"==typeof t[e]&&(t[e]={}),n===r.length-1&&(t[e]=a),t[e]}),t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=n.dispatch("hover"),r={solid:"none",dash:[5,2],dot:[2,5]};function a(){var e=t[0].geometryConfig,i=e.container;"string"==typeof i&&(i=n.select(i)),i.datum(t).each((function(t,i){var a=!!t[0].data.yStack,o=t.map((function(t,e){return a?n.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):n.zip(t.data.t[0],t.data.r[0])})),s=e.angularScale,l=e.radialScale.domain()[0],c={bar:function(r,i,a){var o=t[a].data,l=e.radialScale(r[1])-e.radialScale(0),c=e.radialScale(r[2]||0),u=o.barWidth;n.select(this).attr({class:"mark bar",d:"M"+[[l+c,-u/2],[l+c,u/2],[c,u/2],[c,-u/2]].join("L")+"Z",transform:function(t,r){return"rotate("+(e.orientation+s(t[0]))+")"}})}};c.dot=function(r,i,a){var o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[a].data.dotSize).type(t[a].data.dotType)(r,i);n.select(this).attr({class:"mark dot",d:s,transform:function(t,r){var n,i,a,s=(n=function(t,r){var n=e.radialScale(t[1]),i=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:i}}(o),i=n.r*Math.cos(n.t),a=n.r*Math.sin(n.t),{x:i,y:a});return"translate("+[s.x,s.y]+")"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,i,a){var s=r[2]?o[a].map((function(t,e){return[t[0],t[1]+t[2]]})):o[a];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[a].data.dotVisible},fill:d.stroke(r,i,a)}).attr({class:"mark dot"}),!(i>0)){var l=n.select(this.parentNode).selectAll("path.line").data([0]);l.enter().insert("path"),l.attr({class:"line",d:u(s),transform:function(t,r){return"rotate("+(e.orientation+90)+")"},"pointer-events":"none"}).style({fill:function(t,e){return d.fill(r,i,a)},"fill-opacity":0,stroke:function(t,e){return d.stroke(r,i,a)},"stroke-width":function(t,e){return d["stroke-width"](r,i,a)},"stroke-dasharray":function(t,e){return d["stroke-dasharray"](r,i,a)},opacity:function(t,e){return d.opacity(r,i,a)},display:function(t,e){return d.display(r,i,a)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,i){n.select(this).attr({class:"mark arc",d:p,transform:function(t,r){return"rotate("+(e.orientation+s(t[0])+90)+")"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},"stroke-width":function(e,r,n){return t[n].data.strokeSize+"px"},"stroke-dasharray":function(e,n,i){return r[t[i].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return"undefined"==typeof t[n].data.visible||t[n].data.visible?"block":"none"}},g=n.select(this).selectAll("g.layer").data(o);g.enter().append("g").attr({class:"layer"});var m=g.selectAll("path.mark").data((function(t,e){return t}));m.enter().append("path").attr({class:"mark"}),m.style(d).each(c[e.geometryType]),m.exit().remove(),g.exit().remove()}))}return a.config=function(e){return arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),i(t[r],o.PolyChart.defaultConfig()),i(t[r],e)})),this):t},a.getColorScale=function(){},n.rebind(a,e,"on"),a},o.PolyChart.defaultConfig=function(){return{data:{name:"geom1",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:"circle",dotSize:64,dotVisible:!1,barWidth:20,color:"#ffa500",strokeSize:1,strokeColor:"silver",strokeDash:"solid",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:"LinePlot",geometryType:"arc",direction:"clockwise",orientation:0,container:"body",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:"bar"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:"arc"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:"dot",dotType:"circle"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:"line"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch("hover");function r(){var e=t.legendConfig,a=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var a=i({},e.elements[r]);return a.name=t,a.color=[].concat(e.elements[r].color)[n],a}))})),o=n.merge(a);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||"undefined"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;("string"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?"number"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed("legend-group",!0).selectAll("svg").data([0]),p=f.enter().append("svg").attr({width:300,height:h+c,xmlns:"http://www.w3.org/2000/svg","xmlns:xlink":"http://www.w3.org/1999/xlink",version:"1.1"});p.append("g").classed("legend-axis",!0),p.append("g").classed("legend-marks",!0);var d=n.range(o.length),g=n.scale[u?"linear":"ordinal"]().domain(d).range(l),m=n.scale[u?"linear":"ordinal"]().domain(d)[u?"range":"rangePoints"]([0,h]);if(u){var v=f.select(".legend-marks").append("defs").append("linearGradient").attr({id:"grad1",x1:"0%",y1:"0%",x2:"0%",y2:"100%"}).selectAll("stop").data(l);v.enter().append("stop"),v.attr({offset:function(t,e){return e/(l.length-1)*100+"%"}}).style({"stop-color":function(t,e){return t}}),f.append("rect").classed("legend-mark",!0).attr({height:e.height,width:e.colorBandWidth,fill:"url(#grad1)"})}else{var y=f.select(".legend-marks").selectAll("path.legend-mark").data(o);y.enter().append("path").classed("legend-mark",!0),y.attr({transform:function(t,e){return"translate("+[c/2,m(e)+c/2]+")"},d:function(t,e){var r,i,a,o=t.symbol;return a=3*(i=c),"line"===(r=o)?"M"+[[-i/2,-i/12],[i/2,-i/12],[i/2,i/12],[-i/2,i/12]]+"Z":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(a)():n.svg.symbol().type("square").size(a)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient("right"),b=f.select("g.legend-axis").attr({transform:"translate("+[u?e.colorBandWidth:c,c/2]+")"}).call(x);return b.selectAll(".domain").style({fill:"none",stroke:"none"}),b.selectAll("line").style({fill:"none",stroke:u?e.textColor:"none"}),b.selectAll("text").style({fill:e.textColor,"font-size":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(i(t,e),this):t},n.rebind(r,e,"on"),r},o.Legend.defaultConfig=function(t,e){return{data:["a","b","c"],legendConfig:{elements:[{symbol:"line",color:"red"},{symbol:"square",color:"yellow"},{symbol:"diamond",color:"limegreen"}],height:150,colorBandWidth:30,fontSize:12,container:"body",isContinuous:null,textColor:"grey",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,a={container:null,hasTick:!1,fontSize:12,color:"white",padding:5},s="tooltip-"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=a.container.selectAll("g."+s).data([0])).enter().append("g").classed(s,!0).style({"pointer-events":"none",display:"none"});return r=n.append("path").style({fill:"white","fill-opacity":.9}).attr({d:"M0 0"}),e=n.append("text").attr({dx:a.padding+l,dy:.3*+a.fontSize}),c};return c.text=function(i){var o=n.hsl(a.color).l,s=o>=.5?"#aaa":"white",u=o>=.5?"black":"white",h=i||"";e.style({fill:u,"font-size":a.fontSize+"px"}).text(h);var f=a.padding,p=e.node().getBBox(),d={fill:a.color,stroke:s,"stroke-width":"2px"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:"M"+[[l,-m/2],[l,-m/4],[a.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join("L")+"Z"}).style(d),t.attr({transform:"translate("+[l,-m/2+2*f]+")"}),t.style({display:"block"}),c},c.move=function(e){if(t)return t.attr({transform:"translate("+[e[0],e[1]]+")"}).style({display:"block"}),c},c.hide=function(){if(t)return t.style({display:"none"}),c},c.show=function(){if(t)return t.style({display:"block"}),c},c.config=function(t){return i(a,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=i({},t);return[[n,["marker","color"],["color"]],[n,["marker","opacity"],["opacity"]],[n,["marker","line","color"],["strokeColor"]],[n,["marker","line","dash"],["strokeDash"]],[n,["marker","line","width"],["strokeSize"]],[n,["marker","symbol"],["dotType"]],[n,["marker","size"],["dotSize"]],[n,["marker","barWidth"],["barWidth"]],[n,["line","interpolation"],["lineInterpolation"]],[n,["showlegend"],["visibleInLegend"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?("LinePlot"===n.geometry?(n.type="scatter",!0===n.dotVisible?(delete n.dotVisible,n.mode="lines+markers"):n.mode="lines"):"DotPlot"===n.geometry?(n.type="scatter",n.mode="markers"):"AreaChart"===n.geometry?n.type="area":"BarChart"===n.geometry&&(n.type="bar"),delete n.geometry):("scatter"===n.type?"lines"===n.mode?n.geometry="LinePlot":"markers"===n.mode?n.geometry="DotPlot":"lines+markers"===n.mode&&(n.geometry="LinePlot",n.dotVisible=!0):"area"===n.type?n.geometry="AreaChart":"bar"===n.type&&(n.geometry="BarChart"),delete n.mode,delete n.type),n})),!e&&t.layout&&"stack"===t.layout.barmode)){var a=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=a.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=i({},t.layout);if([[s,["plot_bgcolor"],["backgroundColor"]],[s,["showlegend"],["showLegend"]],[s,["radialaxis"],["radialAxis"]],[s,["angularaxis"],["angularAxis"]],[s.angularaxis,["showline"],["gridLinesVisible"]],[s.angularaxis,["showticklabels"],["labelsVisible"]],[s.angularaxis,["nticks"],["ticksCount"]],[s.angularaxis,["tickorientation"],["tickOrientation"]],[s.angularaxis,["ticksuffix"],["ticksSuffix"]],[s.angularaxis,["range"],["domain"]],[s.angularaxis,["endpadding"],["endPadding"]],[s.radialaxis,["showline"],["gridLinesVisible"]],[s.radialaxis,["tickorientation"],["tickOrientation"]],[s.radialaxis,["ticksuffix"],["ticksSuffix"]],[s.radialaxis,["range"],["domain"]],[s.angularAxis,["showline"],["gridLinesVisible"]],[s.angularAxis,["showticklabels"],["labelsVisible"]],[s.angularAxis,["nticks"],["ticksCount"]],[s.angularAxis,["tickorientation"],["tickOrientation"]],[s.angularAxis,["ticksuffix"],["ticksSuffix"]],[s.angularAxis,["range"],["domain"]],[s.angularAxis,["endpadding"],["endPadding"]],[s.radialAxis,["showline"],["gridLinesVisible"]],[s.radialAxis,["tickorientation"],["tickOrientation"]],[s.radialAxis,["ticksuffix"],["ticksSuffix"]],[s.radialAxis,["range"],["domain"]],[s.font,["outlinecolor"],["outlineColor"]],[s.legend,["traceorder"],["reverseOrder"]],[s,["labeloffset"],["labelOffset"]],[s,["defaultcolorrange"],["defaultColorRange"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?("undefined"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&"undefined"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&"undefined"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&"boolean"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder="normal"!=s.legend.reverseOrder),s.legend&&"boolean"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?"reversed":"normal",delete s.legend.reverseOrder),s.margin&&"undefined"!=typeof s.margin.t){var l=["t","r","b","l","pad"],c=["top","right","bottom","left","pad"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{"../../../constants/alignment":717,"../../../lib":750,d3:169}],872:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../../lib"),a=t("../../../components/color"),o=t("./micropolar"),s=t("./undo_manager"),l=i.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,i,a,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(".svg-container>*:not(.chart-root)").remove(),e=e?l(e,r):r,i||(i=o.Axis()),a=o.adapter.plotly().convert(e),i.config(a).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return i.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(i.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:i.angularScale(),r:i.radialScale()}},f.setUndoPoint=function(){var t,n,i=this,a=o.util.cloneJson(e);t=a,n=r,h.add({undo:function(){n&&i(n)},redo:function(){i(t)}}),r=o.util.cloneJson(a)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(".plot-container"),r=e.selectAll(".svg-container"),i=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:a.background,_container:e,_paperdiv:r,_paper:i};t._fullLayout=l(o,t.layout)}},{"../../../components/color":615,"../../../lib":750,"./micropolar":871,"./undo_manager":873,d3:169}],873:[function(t,e,r){"use strict";e.exports=function(){var t,e=[],r=-1,n=!1;function i(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(i(n,"undo"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(i(n,"redo"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],874:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=t("../../components/color"),l=t("../../components/drawing"),c=t("../plots"),u=t("../../plots/cartesian/axes"),h=t("../cartesian/set_convert"),f=t("./set_convert"),p=t("../cartesian/autorange").doAutoRange,d=t("../cartesian/dragbox"),g=t("../../components/dragelement"),m=t("../../components/fx"),v=t("../../components/titles"),y=t("../cartesian/select").prepSelect,x=t("../cartesian/select").selectOnClick,b=t("../cartesian/select").clearSelect,_=t("../../lib/setcursor"),w=t("../../lib/clear_gl_canvases"),T=t("../../plot_api/subroutines").redrawReglTraces,k=t("../../constants/alignment").MID_SHIFT,M=t("./constants"),A=t("./helpers"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n="clip"+r._uid+e;this.clipIds.forTraces=n+"-for-traces",this.clipPaths.forTraces=r._clips.append("clipPath").attr("id",this.clipIds.forTraces),this.clipPaths.forTraces.append("path"),this.framework=r._polarlayer.append("g").attr("class",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return"side"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr("display",null),t.attr(r)):t&&t.attr("display","none"),t}function R(t,e){return"translate("+t+","+e+")"}function F(t){return"rotate("+t+")"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,i=e.radialaxis,a=e.angularaxis,o=M.layerNames,s=o.indexOf("frontplot"),l=o.slice(0,s),c="below traces"===a.layer,u="below traces"===i.layer;c&&l.push("angular-line"),u&&l.push("radial-line"),c&&l.push("angular-axis"),u&&l.push("radial-axis"),l.push("frontplot"),c||l.push("angular-line"),u||l.push("radial-line"),c||l.push("angular-axis"),u||l.push("radial-axis");var h=this.framework.selectAll(".polarsublayer").data(l,String);h.enter().append("g").attr("class",(function(t){return"polarsublayer "+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case"frontplot":e.append("g").classed("barlayer",!0),e.append("g").classed("scatterlayer",!0);break;case"backplot":e.append("g").classed("maplayer",!0);break;case"plotbg":r.bg=e.append("path");break;case"radial-grid":case"angular-grid":e.style("fill","none");break;case"radial-line":e.append("line").style("fill","none");break;case"angular-line":e.append("path").style("fill","none")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,i=e.radialaxis,a=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=E(a,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,i]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,i,{_id:"x",side:{counterclockwise:"top",clockwise:"bottom"}[i.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:"right",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:"x",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:"y",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select("path").attr("d",z).attr("transform",R(P,I)),r.frontplot.attr("transform",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr("d",z).attr("transform",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return f(i,e,t),i},I.mockCartesianAxis=function(t,e,r){var n=this,i=r._id,a=o.extendFlat({type:"linear"},r);h(a,t);var s={x:[0,2],y:[1,3]};return a.setRange=function(){var t=n.sectorBBox,r=s[i],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);a.range=[t[r[0]]*l,t[r[1]]*l]},a.isPtWithinRange="x"===i?function(t){return n.isPtInside(t)}:function(){return!0},a.setRange(),a.setScale(),a},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=e.radialaxis;n.setScale(),p(r,n);var a=n.range;i.range=a.slice(),i._input.range=a.slice(),n._rl=[n.r2l(a[0],null,"gregorian"),n.r2l(a[1],null,"gregorian")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<a;r.fillViewInitialKey("radialaxis.angle",f.angle),r.fillViewInitialKey("radialaxis.range",d.range.slice()),d.setGeometry(),"auto"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return"translate("+(d.l2p(t.x)+l)+",0)"},v=z(f);if(r.radialTickLayout!==v&&(i["radial-axis"].selectAll(".xtick").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:i["radial-axis"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:i["radial-grid"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:i["radial-axis"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(i["radial-axis"],g&&(f.showticklabels||f.ticks),{transform:T}),D(i["radial-grid"],g&&f.showgrid,{transform:w}),D(i["radial-line"].select("line"),g&&f.showline,{x1:l,y1:0,x2:a,y2:0,transform:T}).attr("stroke-width",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=e.radialaxis,c=this.id+"title",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers["radial-axis"].node()).height,m=s.title.font.size;d="counterclockwise"===s.side?-g-.4*m:g+.8*m}this.layers["radial-axis-title"]=v.draw(n,c,{propContainer:s,propName:this.id+".radialaxis.title",placeholder:S(n,"Click to enter radial axis title"),attributes:{x:a+i/2*f+d*p,y:o-i/2*p+d*f,"text-anchor":"middle"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey("angularaxis.rotation",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};"linear"===p.type&&"radians"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+a*Math.cos(t),h-a*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(i["angular-axis"].selectAll("."+p._id+"tick").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if("linear"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,"category"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _="inside"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:i["angular-axis"],path:"M"+_*w+",0h"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:i["angular-grid"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return"M"+[c+l*r,h-l*n]+"L"+[c+a*r,h-a*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:i["angular-axis"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(i["angular-line"].select("path"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr("stroke-width",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,"path","maindrag","crosshair");n.select(I).attr("d",e.pathSubplot()).attr("transform",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,i=r-n,a=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return"M"+W(s,i)+"A"+[s,s]+" 0,0,0 "+W(s,a)+"L"+W(l,a)+"A"+[l,l]+" 0,0,1 "+W(l,i)+"Z"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var i,a,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);i=E(P,h,f[0][0],f[0][1]),a=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),i=[[l-p,c-d],[l+p,c-d]],a=[[l-p,c+d],[l+p,c+d]]}return"M"+i.join("L")+"L"+a.reverse().join("L")+"Z"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||"M0,0Z",U.attr("d",t),V.attr("d",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit("plotly_relayouting",n)}function Q(t,r){var n,i,a=z+t,o=O+r,s=G(z,O),l=Math.min(G(a,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),i=Z(D,c)+Z(F,c)),K(n,i)}function $(t,e,r,n){var i=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(i[0],i[1])}function tt(t,r){var n,i,a=z+t,o=O+r,s=Y(z,O),l=Y(a,o),c=C(s,T),h=C(l,T);J($(z,O,c[0],c[1]),Math.min($(a,o,h[0],h[1]),u))&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),i=[X(D,c[0],c[1]),X(F,c[0],c[1])].join(" ")),K(n,i)}function et(){if(d.removeZoombox(r),null!==D&&null!==F){var t={};rt(t),d.showDoubleClickNotifier(r),a.call("_guiRelayout",r,t)}}function rt(t){var r=k._rl,n=(r[1]-r[0])/(1-h/u)/u,i=[r[0]+(D-h)*n,r[0]+(F-h)*n];t[e.id+".radialaxis.range"]=i}function nt(t,n){var i=r._fullLayout.clickmode;if(d.removeZoombox(r),2===t){var o={};for(var s in e.viewInitial)o[e.id+"."+s]=e.viewInitial[s];r.emit("plotly_doubleclick",null),a.call("_guiRelayout",r,o)}i.indexOf("select")>-1&&1===t&&x(n,r,[e.xaxis],[e.yaxis],e.id,q),i.indexOf("event")>-1&&m.click(r,n,e.id)}q.prepFn=function(t,n,a){var o=r._fullLayout.dragmode,l=I.getBoundingClientRect();if(z=n-l.left,O=a-l.top,T){var c=A.findPolygonOffset(u,w[0],w[1],T);z+=v+c[0],O+=_+c[1]}switch(o){case"zoom":q.moveFn=T?tt:Q,q.clickFn=nt,q.doneFn=et,function(){D=null,F=null,B=e.pathSubplot(),N=!1;var t=r._fullLayout[e.id];j=i(t.bgcolor).getLuminance(),(U=d.makeZoombox(s,j,f,p,B)).attr("fill-rule","evenodd"),V=d.makeCorners(s,f,p),b(r)}();break;case"select":case"lasso":y(t,n,a,q,o)}},I.onmousemove=function(t){m.hover(r,t,e.id),r._fullLayout._lasthover=I,r._fullLayout._hoversubplot=e.id},I.onmouseout=function(t){r._dragging||g.unhover(r,t)},g.init(q)},I.updateRadialDrag=function(t,e,r){var i=this,s=i.gd,l=i.layers,c=i.radius,u=i.innerRadius,h=i.cx,f=i.cy,p=i.radialAxis,m=M.radialDragBoxSize,v=m/2;if(p.visible){var y,x,_,k=C(i.radialAxisAngle),A=p._rl,S=A[0],E=A[1],P=A[r],I=.75*(A[1]-A[0])/(1-e.hole)/c;r?(y=h+(c+v)*Math.cos(k),x=f-(c+v)*Math.sin(k),_="radialdrag"):(y=h+(u-v)*Math.cos(k),x=f-(u-v)*Math.sin(k),_="radialdrag-inner");var z,B,N,j=d.makeRectDragger(l,_,"crosshair",-v,-v,m,m),U={element:j,gd:s};D(n.select(j),p.visible&&u<c,{transform:R(y,x)}),U.prepFn=function(){z=null,B=null,N=null,U.moveFn=V,U.doneFn=q,b(s)},U.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<M.MINDRAG&&(t=0,e=0),[t,e]},g.init(U)}function V(t,e){if(z)z(t,e);else{var n=[t,-e],a=[Math.cos(k),Math.sin(k)],l=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(l)||(z=l<.5?H:G)}var c={};!function(t){null!==B?t[i.id+".radialaxis.angle"]=B:null!==N&&(t[i.id+".radialaxis.range["+r+"]"]=N)}(c),s.emit("plotly_relayouting",c)}function q(){null!==B?a.call("_guiRelayout",s,i.id+".radialaxis.angle",B):null!==N&&a.call("_guiRelayout",s,i.id+".radialaxis.range["+r+"]",N)}function H(t,e){if(0!==r){var n=y+t,a=x+e;B=Math.atan2(f-a,n-h),i.vangles&&(B=O(B,i.vangles)),B=L(B);var o=R(h,f)+F(-B);l["radial-axis"].attr("transform",o),l["radial-line"].select("line").attr("transform",o);var s=i.gd._fullLayout,c=s[i.id];i.updateRadialAxisTitle(s,c,B)}}function G(t,e){var n=o.dot([t,-e],[Math.cos(k),Math.sin(k)]);if(N=P-I*n,I>0==(r?N>S:N<E)){var l=s._fullLayout,c=l[i.id];p.range[r]=N,p._rl[r]=N,i.updateRadialAxis(l,c),i.xaxis.setRange(),i.xaxis.setScale(),i.yaxis.setRange(),i.yaxis.setScale();var u=!1;for(var h in i.traceHash){var f=i.traceHash[h],d=o.filterVisible(f);f[0][0].trace._module.plot(s,i,d,c),a.traceIs(h,"gl")&&d.length&&(u=!0)}u&&(w(s),T(s))}else N=null}},I.updateAngularDrag=function(t){var e=this,r=e.gd,i=e.layers,s=e.radius,c=e.angularAxis,u=e.cx,h=e.cy,f=e.cxx,p=e.cyy,m=M.angularDragBoxSize,v=d.makeDragger(i,"path","angulardrag","move"),y={element:v,gd:r};function x(t,e){return Math.atan2(p+m-e,t-f-m)}n.select(v).attr("d",e.pathAnnulus(s,s+m)).attr("transform",R(u,h)).call(_,"move");var k,A,S,E,C,P,I=i.frontplot.select(".scatterlayer").selectAll(".trace"),z=I.selectAll(".point"),O=I.selectAll(".textpoint");function D(t,s){var d=e.gd._fullLayout,g=d[e.id],m=x(k+t,A+s),v=L(m-P);if(E=S+v,i.frontplot.attr("transform",R(e.xOffset2,e.yOffset2)+F([-v,f,p])),e.vangles){C=e.radialAxisAngle+v;var y=R(u,h)+F(-v),b=R(u,h)+F(-C);i.bg.attr("transform",y),i["radial-grid"].attr("transform",y),i["radial-axis"].attr("transform",b),i["radial-line"].select("line").attr("transform",b),e.updateRadialAxisTitle(d,g,C)}else e.clipPaths.forTraces.select("path").attr("transform",R(f,p)+F(v));z.each((function(){var t=n.select(this),e=l.getTranslate(t);t.attr("transform",R(e.x,e.y)+F([v]))})),O.each((function(){var t=n.select(this),e=t.select("text"),r=l.getTranslate(t);t.attr("transform",F([v,e.attr("x"),e.attr("y")])+R(r.x,r.y))})),c.rotation=o.modHalf(E,360),e.updateAngularAxis(d,g),e._hasClipOnAxisFalse&&!o.isFullCircle(e.sectorInRad)&&I.call(l.hideOutsideRangePoints,e);var _=!1;for(var M in e.traceHash)if(a.traceIs(M,"gl")){var D=e.traceHash[M],N=o.filterVisible(D);D[0][0].trace._module.plot(r,e,N,g),N.length&&(_=!0)}_&&(w(r),T(r));var j={};B(j),r.emit("plotly_relayouting",j)}function B(t){t[e.id+".angularaxis.rotation"]=E,e.vangles&&(t[e.id+".radialaxis.angle"]=C)}function N(){O.select("text").attr("transform",null);var t={};B(t),a.call("_guiRelayout",r,t)}y.prepFn=function(n,i,a){var o=t[e.id];S=o.angularaxis.rotation;var s=v.getBoundingClientRect();k=i-s.left,A=a-s.top,P=x(k,A),y.moveFn=D,y.doneFn=N,b(r)},e.vangles&&!o.isFullCircle(e.sectorInRad)&&(y.prepFn=o.noop,_(n.select(v),null)),g.init(y)},I.isPtInside=function(t){var e=this.sectorInRad,r=this.vangles,n=this.angularAxis.c2g(t.theta),i=this.radialAxis,a=i.c2l(t.r),s=i._rl;return(r?A.isPtInsidePolygon:o.isPtInsideSector)(a,n,s,e,r)},I.pathArc=function(t){var e=this.sectorInRad,r=this.vangles;return(r?A.pathPolygon:o.pathArc)(t,e[0],e[1],r)},I.pathSector=function(t){var e=this.sectorInRad,r=this.vangles;return(r?A.pathPolygon:o.pathSector)(t,e[0],e[1],r)},I.pathAnnulus=function(t,e){var r=this.sectorInRad,n=this.vangles;return(n?A.pathPolygonAnnulus:o.pathAnnulus)(t,e,r[0],r[1],n)},I.pathSubplot=function(){var t=this.innerRadius,e=this.radius;return t?this.pathAnnulus(t,e):this.pathSector(e)},I.fillViewInitialKey=function(t,e){t in this.viewInitial||(this.viewInitial[t]=e)}},{"../../components/color":615,"../../components/dragelement":634,"../../components/drawing":637,"../../components/fx":655,"../../components/titles":710,"../../constants/alignment":717,"../../lib":750,"../../lib/clear_gl_canvases":734,"../../lib/setcursor":770,"../../plot_api/subroutines":789,"../../plots/cartesian/axes":799,"../../registry":882,"../cartesian/autorange":798,"../cartesian/dragbox":807,"../cartesian/select":818,"../cartesian/set_convert":819,"../plots":862,"./constants":863,"./helpers":864,"./set_convert":875,d3:169,tinycolor2:548}],875:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../cartesian/set_convert"),a=n.deg2rad,o=n.rad2deg;e.exports=function(t,e,r){switch(i(t,r),t._id){case"x":case"radialaxis":!function(t,e){var r=e._subplot;t.setGeometry=function(){var e=t._rl[0],n=t._rl[1],i=r.innerRadius,a=(r.radius-i)/(n-e),o=i/a,s=e>n?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case"angularaxis":!function(t,e){var r=t.type;if("linear"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return"degrees"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return"degrees"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&"linear"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o<l;o++)a[o]=c(s[o])}else{var u=i+"0",h="d"+i,f=u in e?c(e[u]):0,p=e[h]?c(e[h]):(t.period||2*Math.PI)/l;for(a=new Array(l),o=0;o<l;o++)a[o]=f+o*p}return a},t.setGeometry=function(){var i,s,l,c,u=e.sector,h=u.map(a),f={clockwise:-1,counterclockwise:1}[t.direction],p=a(t.rotation),d=function(t){return f*t+p},g=function(t){return(t-p)/f};switch(r){case"linear":s=i=n.identity,c=a,l=o,t.range=n.isFullCircle(h)?[u[0],u[0]+360]:h.map(g).map(o);break;case"category":var m=t._categories.length,v=t.period?Math.max(t.period,m):m;0===v&&(v=1),s=c=function(t){return 2*t*Math.PI/v},i=l=function(t){return t*v/Math.PI/2},t.range=[0,v]}t.c2g=function(t){return d(s(t))},t.g2c=function(t){return i(g(t))},t.t2g=function(t){return d(c(t))},t.g2t=function(t){return l(g(t))}}}(t,e)}}},{"../../lib":750,"../cartesian/set_convert":819}],876:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_template"),a=t("./domain").defaults;e.exports=function(t,e,r,o){var s,l,c=o.type,u=o.attributes,h=o.handleDefaults,f=o.partition||"x",p=e._subplots[c],d=p.length,g=d&&p[0].replace(/\d+$/,"");function m(t,e){return n.coerce(s,l,u,t,e)}for(var v=0;v<d;v++){var y=p[v];s=t[y]?t[y]:t[y]={},l=i.newContainer(e,y,g),m("uirevision",e.uirevision);var x={};x[f]=[v/d,(v+1)/d],a(l,e,m,x),o.id=y,h(s,l,m,o)}}},{"../lib":750,"../plot_api/plot_template":788,"./domain":826}],877:[function(t,e,r){"use strict";['Variables are inserted using %{variable}, for example "y: %{y}".','Numbers are formatted using d3-format\'s syntax %{variable:d3-format}, for example "Price: %{y:$.2f}".',t("../constants/docs").FORMAT_LINK,"for details on the formatting syntax.",'Dates are formatted using d3-time-format\'s syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}".',t("../constants/docs").DATE_FORMAT_LINK,"for details on the date formatting syntax."].join(" ");function n(t){var e=t.description?" "+t.description:"",r=t.keys||[];if(r.length>0){for(var n=[],i=0;i<r.length;i++)n[i]="`"+r[i]+"`";e+="Finally, the template string has access to ",e=1===r.length?"variable "+n[0]:"variables "+n.slice(0,-1).join(", ")+" and "+n.slice(-1)+"."}return e}r.hovertemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:"string",dflt:"",editType:t.editType||"none"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:"string",dflt:"",editType:t.editType||"calc"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{"../constants/docs":720}],878:[function(t,e,r){"use strict";var n=t("./ternary"),i=t("../../plots/get_data").getSubplotCalcData,a=t("../../lib").counterRegex;r.name="ternary";var o=r.attr="subplot";r.idRoot="ternary",r.idRegex=r.attrRegex=a("ternary"),(r.attributes={})[o]={valType:"subplotid",dflt:"ternary",editType:"calc"},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o<a.length;o++){var s=a[o],l=i(r,"ternary",s),c=e[s]._subplot;c||(c=new n({id:s,graphDiv:t,container:e._ternarylayer.node()},e),e[s]._subplot=c),c.plot(l,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=n._subplots.ternary||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.plotContainer.remove(),s.clipDef.remove(),s.clipDefRelative.remove(),s.layers["a-title"].remove(),s.layers["b-title"].remove(),s.layers["c-title"].remove())}}},{"../../lib":750,"../../plots/get_data":836,"./layout_attributes":879,"./layout_defaults":880,"./ternary":881}],879:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../domain").attributes,a=t("../cartesian/layout_attributes"),o=t("../../plot_api/edit_types").overrideAll,s=t("../../lib/extend").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:"number",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:"ternary"}),bgcolor:{valType:"color",dflt:n.background},sum:{valType:"number",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},"plot","from-root");c.uirevision={valType:"any",editType:"none"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:"any",editType:"none"}},{"../../components/color/attributes":614,"../../lib/extend":740,"../../plot_api/edit_types":781,"../cartesian/layout_attributes":813,"../domain":826}],880:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../plot_api/plot_template"),a=t("../../lib"),o=t("../subplot_defaults"),s=t("../cartesian/tick_label_defaults"),l=t("../cartesian/tick_mark_defaults"),c=t("../cartesian/tick_value_defaults"),u=t("../cartesian/line_grid_defaults"),h=t("./layout_attributes"),f=["aaxis","baxis","caxis"];function p(t,e,r,a){var o,s,l,c=r("bgcolor"),u=r("sum");a.bgColor=n.combine(c,a.paper_bgcolor);for(var h=0;h<f.length;h++)s=t[o=f[h]]||{},(l=i.newContainer(e,o))._name=o,d(s,l,a,e);var p=e.aaxis,g=e.baxis,m=e.caxis;p.min+g.min+m.min>=u&&(p.min=0,g.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o("uirevision",n.uirevision),e.type="linear";var f=o("color"),p=f!==i.color.dflt?f:r.font.color,d=e._name.charAt(0).toUpperCase(),g="Component "+d,m=o("title.text",g);e._hovertitle=m===g?m:d,a.coerceFont(o,"title.font",{family:r.font.family,size:Math.round(1.2*r.font.size),color:p}),o("min"),c(t,e,o,"linear"),s(t,e,o,"linear",{}),l(t,e,o,{outerTicks:!0}),o("showticklabels")&&(a.coerceFont(o,"tickfont",{family:r.font.family,size:r.font.size,color:p}),o("tickangle"),o("tickformat")),u(t,e,o,{dfltColor:f,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o("hoverformat"),o("layer")}e.exports=function(t,e,r){o(t,e,r,{type:"ternary",attributes:h,handleDefaults:p,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{"../../components/color":615,"../../lib":750,"../../plot_api/plot_template":788,"../cartesian/line_grid_defaults":815,"../cartesian/tick_label_defaults":820,"../cartesian/tick_mark_defaults":821,"../cartesian/tick_value_defaults":822,"../subplot_defaults":876,"./layout_attributes":879}],881:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=o._,l=t("../../components/color"),c=t("../../components/drawing"),u=t("../cartesian/set_convert"),h=t("../../lib/extend").extendFlat,f=t("../plots"),p=t("../cartesian/axes"),d=t("../../components/dragelement"),g=t("../../components/fx"),m=t("../../components/dragelement/helpers"),v=m.freeMode,y=m.rectMode,x=t("../../components/titles"),b=t("../cartesian/select").prepSelect,_=t("../cartesian/select").selectOnClick,w=t("../cartesian/select").clearSelect,T=t("../cartesian/select").clearSelectionsCache,k=t("../cartesian/constants");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select("path").call(l.fill,r.bgcolor)},A.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId="clip"+this.layoutId+this.id,i=this.clipIdRelative="clip-relative"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,"clipPath",n,(function(t){t.append("path").attr("d","M0,0Z")})),this.clipDefRelative=o.ensureSingleById(t._clips,"clipPath",i,(function(t){t.append("path").attr("d","M0,0Z")})),this.plotContainer=o.ensureSingle(this.container,"g",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},A.updateLayers=function(t){var e=this.layers,r=["draglayer","plotbg","backplot","grids"];"below traces"===t.aaxis.layer&&r.push("aaxis","aline"),"below traces"===t.baxis.layer&&r.push("baxis","bline"),"below traces"===t.caxis.layer&&r.push("caxis","cline"),r.push("frontplot"),"above traces"===t.aaxis.layer&&r.push("aaxis","aline"),"above traces"===t.baxis.layer&&r.push("baxis","bline"),"above traces"===t.caxis.layer&&r.push("caxis","cline");var i=this.plotContainer.selectAll("g.toplevel").data(r,String),a=["agrid","bgrid","cgrid"];i.enter().append("g").attr("class",(function(t){return"toplevel "+t})).each((function(t){var r=n.select(this);e[t]=r,"frontplot"===t?r.append("g").classed("scatterlayer",!0):"backplot"===t?r.append("g").classed("maplayer",!0):"plotbg"===t?r.append("path").attr("d","M0,0Z"):"aline"===t||"bline"===t||"cline"===t?r.append("path"):"grids"===t&&a.forEach((function(t){e[t]=r.append("g").classed("grid "+t,!0)}))})),i.order()};var S=Math.sqrt(4/3);A.adjustLayout=function(t,e){var r,n,i,a,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,m=p.x[1]-p.x[0],v=p.y[1]-p.y[0],y=m*e.w,x=v*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>S*x?i=(a=x)*S:a=(i=y)/S,o=m*i/y,s=v*a/x,r=e.l+e.w*d-i/2,n=e.t+e.h*(1-g)-a/2,f.x0=r,f.y0=n,f.w=i,f.h=a,f.sum=b,f.xaxis={type:"linear",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:"x"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:"linear",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:"y"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var k=f.yaxis.domain[0],M=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:"left",tickangle:(+t.aaxis.tickangle||0)-30,domain:[k,k+s*S],anchor:"free",position:0,_id:"y",_length:i});u(M,f.graphDiv._fullLayout),M.setScale();var A=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:"bottom",domain:f.xaxis.domain,anchor:"free",position:0,_id:"x",_length:i});u(A,f.graphDiv._fullLayout),A.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:"right",tickangle:(+t.caxis.tickangle||0)+30,domain:[k,k+s*S],anchor:"free",position:0,_id:"y",_length:i});u(E,f.graphDiv._fullLayout),E.setScale();var C="M"+r+","+(n+a)+"h"+i+"l-"+i/2+",-"+a+"Z";f.clipDef.select("path").attr("d",C),f.layers.plotbg.select("path").attr("d",C);var L="M0,"+a+"h"+i+"l-"+i/2+",-"+a+"Z";f.clipDefRelative.select("path").attr("d",L);var P="translate("+r+","+n+")";f.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",P),f.clipDefRelative.select("path").attr("transform",null);var I="translate("+(r-A._offset)+","+(n+a)+")";f.layers.baxis.attr("transform",I),f.layers.bgrid.attr("transform",I);var z="translate("+(r+i/2)+","+n+")rotate(30)translate(0,"+-M._offset+")";f.layers.aaxis.attr("transform",z),f.layers.agrid.attr("transform",z);var O="translate("+(r+i/2)+","+n+")rotate(-30)translate(0,"+-E._offset+")";f.layers.caxis.attr("transform",O),f.layers.cgrid.attr("transform",O),f.drawAxes(!0),f.layers.aline.select("path").attr("d",M.showline?"M"+r+","+(n+a)+"l"+i/2+",-"+a:"M0,0").call(l.stroke,M.linecolor||"#000").style("stroke-width",(M.linewidth||0)+"px"),f.layers.bline.select("path").attr("d",A.showline?"M"+r+","+(n+a)+"h"+i:"M0,0").call(l.stroke,A.linecolor||"#000").style("stroke-width",(A.linewidth||0)+"px"),f.layers.cline.select("path").attr("d",E.showline?"M"+(r+i/2)+","+n+"l"+i/2+","+a:"M0,0").call(l.stroke,E.linecolor||"#000").style("stroke-width",(E.linewidth||0)+"px"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},A.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+"title",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var l=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+("outside"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+("outside"===a.ticks?a.ticklen:0)+3;n["a-title"]=x.draw(e,"a"+r,{propContainer:i,propName:this.id+".aaxis.title",placeholder:s(e,"Click to enter Component A title"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-l,"text-anchor":"middle"}}),n["b-title"]=x.draw(e,"b"+r,{propContainer:a,propName:this.id+".baxis.title",placeholder:s(e,"Click to enter Component B title"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,"text-anchor":"middle"}}),n["c-title"]=x.draw(e,"c"+r,{propContainer:o,propName:this.id+".caxis.title",placeholder:s(e,"Click to enter Component C title"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,"text-anchor":"middle"}})}},A.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+"tickLayout",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll("."+a+"tick").remove(),this[l]=c),t.setScale();var u=p.calcTicks(t),h=p.clipEnds(t,u),f=p.makeTransFn(t),d=p.getTickSigns(t)[2],g=o.deg2rad(30),m=d*(t.linewidth||1)/2,v=d*t.ticklen,y=this.w,x=this.h,b="b"===i?"M0,"+m+"l"+Math.sin(g)*v+","+Math.cos(g)*v:"M"+m+",0l"+Math.cos(g)*v+","+-Math.sin(g)*v,_={a:"M0,0l"+x+",-"+y/2,b:"M0,0l-"+y/2+",-"+x,c:"M0,0l-"+x+","+y/2}[i];p.drawTicks(r,t,{vals:"inside"===t.ticks?h:u,layer:s,path:b,transFn:f,crisp:!1}),p.drawGrid(r,t,{vals:h,layer:this.layers[i+"grid"],path:_,transFn:f,crisp:!1}),p.drawLabels(r,t,{vals:u,layer:s,transFn:f,labelFns:p.makeLabelFns(t,0,30)})};var E=k.MINZOOM/2+.87,C="m-0.87,.5h"+E+"v3h-"+(E+5.2)+"l"+(E/2+2.6)+",-"+(.87*E+4.5)+"l2.6,1.5l-"+E/2+","+.87*E+"Z",L="m0.87,.5h-"+E+"v3h"+(E+5.2)+"l-"+(E/2+2.6)+",-"+(.87*E+4.5)+"l-2.6,1.5l"+E/2+","+.87*E+"Z",P="m0,1l"+E/2+","+.87*E+"l2.6,-1.5l-"+(E/2+2.6)+",-"+(.87*E+4.5)+"l-"+(E/2+2.6)+","+(.87*E+4.5)+"l2.6,1.5l"+E/2+",-"+.87*E+"Z",I=!0;function z(t){n.select(t).selectAll(".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners").remove()}A.clearSelect=function(){T(this.dragOptions),w(this.dragOptions.gd)},A.initInteractions=function(){var t,e,r,n,u,h,f,p,m,x,w=this,T=w.layers.plotbg.select("path").node(),M=w.graphDiv,A=M._fullLayout._zoomlayer;function E(t){var e={};return e[w.id+".aaxis.min"]=t.a,e[w.id+".baxis.min"]=t.b,e[w.id+".caxis.min"]=t.c,e}function O(t,e){var r=M._fullLayout.clickmode;z(M),2===t&&(M.emit("plotly_doubleclick",null),a.call("_guiRelayout",M,E({a:0,b:0,c:0}))),r.indexOf("select")>-1&&1===t&&_(e,M,[w.xaxis],[w.yaxis],w.id,w.dragOptions),r.indexOf("event")>-1&&g.click(M,e,w.id)}function D(t,e){return 1-e/w.h}function R(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function F(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function B(i,a){var o=t+i,s=e+a,l=Math.max(0,Math.min(1,D(0,e),D(0,s))),c=Math.max(0,Math.min(1,R(t,e),R(o,s))),d=Math.max(0,Math.min(1,F(t,e),F(o,s))),g=(l/2+d)*w.w,v=(1-l/2-c)*w.w,y=(g+v)/2,b=v-g,_=(1-l)*w.h,T=_-b/S;b<k.MINZOOM?(u=r,m.attr("d",f),x.attr("d","M0,0Z")):(u={a:r.a+l*n,b:r.b+c*n,c:r.c+d*n},m.attr("d",f+"M"+g+","+_+"H"+v+"L"+y+","+T+"L"+g+","+_+"Z"),x.attr("d","M"+t+","+e+"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM"+g+","+_+C+"M"+v+","+_+L+"M"+y+","+T+P)),p||(m.transition().style("fill",h>.2?"rgba(0,0,0,0.4)":"rgba(255,255,255,0.3)").duration(200),x.transition().style("opacity",1).duration(200),p=!0),M.emit("plotly_relayouting",E(u))}function N(){z(M),u!==r&&(a.call("_guiRelayout",M,E(u)),I&&M.data&&M._context.showTips&&(o.notifier(s(M,"Double-click to zoom back out"),"long"),I=!1))}function j(t,e){var n=t/w.xaxis._m,i=e/w.yaxis._m,a=[(u={a:r.a-i,b:r.b+(n+i)/2,c:r.c-(n-i)/2}).a,u.b,u.c].sort(o.sorterAsc),s=a.indexOf(u.a),l=a.indexOf(u.b),h=a.indexOf(u.c);a[0]<0&&(a[1]+a[0]/2<0?(a[2]+=a[0]+a[1],a[0]=a[1]=0):(a[2]+=a[0]/2,a[1]+=a[0]/2,a[0]=0),u={a:a[s],b:a[l],c:a[h]},e=(r.a-u.a)*w.yaxis._m,t=(r.c-u.c-r.b+u.b)*w.xaxis._m);var f="translate("+(w.x0+t)+","+(w.y0+e)+")";w.plotContainer.selectAll(".scatterlayer,.maplayer").attr("transform",f);var p="translate("+-t+","+-e+")";w.clipDefRelative.select("path").attr("transform",p),w.aaxis.range=[u.a,w.sum-u.b-u.c],w.baxis.range=[w.sum-u.a-u.c,u.b],w.caxis.range=[w.sum-u.a-u.b,u.c],w.drawAxes(!1),w._hasClipOnAxisFalse&&w.plotContainer.select(".scatterlayer").selectAll(".trace").call(c.hideOutsideRangePoints,w),M.emit("plotly_relayouting",E(u))}function U(){a.call("_guiRelayout",M,E(u))}this.dragOptions={element:T,gd:M,plotinfo:{id:w.id,domain:M._fullLayout[w.id].domain,xaxis:w.xaxis,yaxis:w.yaxis},subplot:w.id,prepFn:function(a,o,s){w.dragOptions.xaxes=[w.xaxis],w.dragOptions.yaxes=[w.yaxis];var c=w.dragOptions.dragmode=M._fullLayout.dragmode;v(c)?w.dragOptions.minDrag=1:w.dragOptions.minDrag=void 0,"zoom"===c?(w.dragOptions.moveFn=B,w.dragOptions.clickFn=O,w.dragOptions.doneFn=N,function(a,o,s){var c=T.getBoundingClientRect();t=o-c.left,e=s-c.top,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,n=w.aaxis.range[1]-r.a,h=i(w.graphDiv._fullLayout[w.id].bgcolor).getLuminance(),f="M0,"+w.h+"L"+w.w/2+", 0L"+w.w+","+w.h+"Z",p=!1,m=A.append("path").attr("class","zoombox").attr("transform","translate("+w.x0+", "+w.y0+")").style({fill:h>.2?"rgba(0,0,0,0)":"rgba(255,255,255,0)","stroke-width":0}).attr("d",f),x=A.append("path").attr("class","zoombox-corners").attr("transform","translate("+w.x0+", "+w.y0+")").style({fill:l.background,stroke:l.defaultLine,"stroke-width":1,opacity:0}).attr("d","M0,0Z"),w.clearSelect(M)}(0,o,s)):"pan"===c?(w.dragOptions.moveFn=j,w.dragOptions.clickFn=O,w.dragOptions.doneFn=U,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,w.clearSelect(M)):(y(c)||v(c))&&b(a,o,s,w.dragOptions,c)}},T.onmousemove=function(t){g.hover(M,t,w.id),M._fullLayout._lasthover=T,M._fullLayout._hoversubplot=w.id},T.onmouseout=function(t){M._dragging||d.unhover(M,t)},d.init(this.dragOptions)}},{"../../components/color":615,"../../components/dragelement":634,"../../components/dragelement/helpers":633,"../../components/drawing":637,"../../components/fx":655,"../../components/titles":710,"../../lib":750,"../../lib/extend":740,"../../registry":882,"../cartesian/axes":799,"../cartesian/constants":805,"../cartesian/select":818,"../cartesian/set_convert":819,"../plots":862,d3:169,tinycolor2:548}],882:[function(t,e,r){"use strict";var n=t("./lib/loggers"),i=t("./lib/noop"),a=t("./lib/push_unique"),o=t("./lib/is_plain_object"),s=t("./lib/dom").addStyleRule,l=t("./lib/extend"),c=t("./plots/attributes"),u=t("./plots/layout_attributes"),h=l.extendFlat,f=l.extendDeepAll;function p(t){var e=t.name,i=t.categories,a=t.meta;if(r.modules[e])n.log("Type "+e+" already registered");else{r.subplotsRegistry[t.basePlotModule.name]||function(t){var e=t.name;if(r.subplotsRegistry[e])return void n.log("Plot type "+e+" already registered.");for(var i in v(t),r.subplotsRegistry[e]=t,r.componentsRegistry)b(i,t.name)}(t.basePlotModule);for(var o={},l=0;l<i.length;l++)o[i[l]]=!0,r.allCategories[i[l]]=!0;for(var c in r.modules[e]={_module:t,categories:o},a&&Object.keys(a).length&&(r.modules[e].meta=a),r.allTypes.push(e),r.componentsRegistry)y(c,e);t.layoutAttributes&&h(r.traceLayoutAttributes,t.layoutAttributes);var u=t.basePlotModule,f=u.name;if("mapbox"===f){var p=u.constants.styleRules;for(var d in p)s(".js-plotly-plot .plotly .mapboxgl-"+d,p[d])}"geo"!==f&&"mapbox"!==f||void 0===typeof window||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if("string"!=typeof t.name)throw new Error("Component module *name* must be a string.");var e=t.name;for(var n in r.componentsRegistry[e]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(r.layoutArrayContainers,e),v(t)),r.modules)y(e,n);for(var i in r.subplotsRegistry)b(e,i);for(var o in r.transformsRegistry)x(e,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function g(t){if("string"!=typeof t.name)throw new Error("Transform module *name* must be a string.");var e="Transform module "+t.name,i="function"==typeof t.transform,a="function"==typeof t.calcTransform;if(!i&&!a)throw new Error(e+" is missing a *transform* or *calcTransform* method.");for(var s in i&&a&&n.log([e+" has both a *transform* and *calcTransform* methods.","Please note that all *transform* methods are executed","before all *calcTransform* methods."].join(" ")),o(t.attributes)||n.log(e+" registered without an *attributes* object."),"function"!=typeof t.supplyDefaults&&n.log(e+" registered without a *supplyDefaults* method."),r.transformsRegistry[t.name]=t,r.componentsRegistry)x(s,t.name)}function m(t){var e=t.name,n=e.split("-")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=r.localeRegistry,c=l[e];if(c||(l[e]=c={}),n!==e){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function v(t){if(t.layoutAttributes){var e=t.layoutAttributes._arrayAttrRegexps;if(e)for(var n=0;n<e.length;n++)a(r.layoutArrayRegexes,e[n])}}function y(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[e];i&&f(r.modules[e]._module.attributes,i)}}function x(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[e];i&&f(r.transformsRegistry[e].attributes,i)}}function b(t,e){var n=r.componentsRegistry[t].schema;if(n&&n.subplots){var i=r.subplotsRegistry[e],a=i.layoutAttributes,o="subplot"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var s=n.subplots[o];a&&s&&f(a,s)}}function _(t){return"object"==typeof t&&(t=t.type),t}r.modules={},r.allCategories={},r.allTypes=[],r.subplotsRegistry={},r.transformsRegistry={},r.componentsRegistry={},r.layoutArrayContainers=[],r.layoutArrayRegexes=[],r.traceLayoutAttributes={},r.localeRegistry={},r.apiMethodRegistry={},r.collectableSubplotTypes=null,r.register=function(t){if(r.collectableSubplotTypes=null,!t)throw new Error("No argument passed to Plotly.register.");t&&!Array.isArray(t)&&(t=[t]);for(var e=0;e<t.length;e++){var n=t[e];if(!n)throw new Error("Invalid module was attempted to be registered!");switch(n.moduleType){case"trace":p(n);break;case"transform":g(n);break;case"component":d(n);break;case"locale":m(n);break;case"apiMethod":var i=n.name;r.apiMethodRegistry[i]=n.fn;break;default:throw new Error("Invalid module was attempted to be registered!")}}},r.getModule=function(t){var e=r.modules[_(t)];return!!e&&e._module},r.traceIs=function(t,e){if("various"===(t=_(t)))return!1;var i=r.modules[t];return i||(t&&"area"!==t&&n.log("Unrecognized trace type "+t+"."),i=r.modules[c.type.dflt]),!!i.categories[e]},r.getTransformIndices=function(t,e){for(var r=[],n=t.transforms||[],i=0;i<n.length;i++)n[i].type===e&&r.push(i);return r},r.hasTransform=function(t,e){for(var r=t.transforms||[],n=0;n<r.length;n++)if(r[n].type===e)return!0;return!1},r.getComponentMethod=function(t,e){var n=r.componentsRegistry[t];return n&&n[e]||i},r.call=function(){var t=arguments[0],e=[].slice.call(arguments,1);return r.apiMethodRegistry[t].apply(null,e)}},{"./lib/dom":738,"./lib/extend":740,"./lib/is_plain_object":751,"./lib/loggers":754,"./lib/noop":759,"./lib/push_unique":764,"./plots/attributes":795,"./plots/layout_attributes":853}],883:[function(t,e,r){"use strict";var n=t("../registry"),i=t("../lib"),a=i.extendFlat,o=i.extendDeep;function s(t){var e;switch(t){case"themes__thumb":e={autosize:!0,width:150,height:150,title:{text:""},showlegend:!1,margin:{l:5,r:5,t:5,b:5,pad:0},annotations:[]};break;case"thumbnail":e={title:{text:""},hidesources:!0,showlegend:!1,borderwidth:0,bordercolor:"",margin:{l:1,r:1,t:1,b:1,pad:0},annotations:[]};break;default:e={}}return e}e.exports=function(t,e){var r;t.framework&&t.framework.isPolar&&(t=t.framework.getConfig());var i,l=t.data,c=t.layout,u=o([],l),h=o({},c,s(e.tileClass)),f=t._context||{};if(e.width&&(h.width=e.width),e.height&&(h.height=e.height),"thumbnail"===e.tileClass||"themes__thumb"===e.tileClass){h.annotations=[];var p=Object.keys(h);for(r=0;r<p.length;r++)i=p[r],["xaxis","yaxis","zaxis"].indexOf(i.slice(0,5))>-1&&(h[p[r]].title={text:""});for(r=0;r<u.length;r++){var d=u[r];d.showscale=!1,d.marker&&(d.marker.showscale=!1),n.traceIs(d,"pie-like")&&(d.textposition="none")}}if(Array.isArray(e.annotations))for(r=0;r<e.annotations.length;r++)h.annotations.push(e.annotations[r]);var g=Object.keys(h).filter((function(t){return t.match(/^scene\d*$/)}));if(g.length){var m={};for("thumbnail"===e.tileClass&&(m={title:{text:""},showaxeslabels:!1,showticklabels:!1,linetickenable:!1}),r=0;r<g.length;r++){var v=h[g[r]];v.xaxis||(v.xaxis={}),v.yaxis||(v.yaxis={}),v.zaxis||(v.zaxis={}),a(v.xaxis,m),a(v.yaxis,m),a(v.zaxis,m),v._scene=null}}var y=document.createElement("div");e.tileClass&&(y.className=e.tileClass);var x={gd:y,td:y,layout:h,data:u,config:{staticPlot:void 0===e.staticPlot||e.staticPlot,plotGlPixelRatio:void 0===e.plotGlPixelRatio?2:e.plotGlPixelRatio,displaylogo:e.displaylogo||!1,showLink:e.showLink||!1,showTips:e.showTips||!1,mapboxAccessToken:f.mapboxAccessToken}};return"transparent"!==e.setBackground&&(x.config.setBackground=e.setBackground||"opaque"),x.gd.defaultLayout=s(e.tileClass),x}},{"../lib":750,"../registry":882}],884:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/to_image"),a=t("./filesaver"),o=t("./helpers");e.exports=function(t,e){var r;return n.isPlainObject(t)||(r=n.getGraphDiv(t)),(e=e||{}).format=e.format||"png",e.width=e.width||null,e.height=e.height||null,e.imageDataOnly=!0,new Promise((function(s,l){r&&r._snapshotInProgress&&l(new Error("Snapshotting already in progress.")),n.isIE()&&"svg"!==e.format&&l(new Error(o.MSG_IE_BAD_FORMAT)),r&&(r._snapshotInProgress=!0);var c=i(t,e),u=e.filename||t.fn||"newplot";u+="."+e.format.replace("-","."),c.then((function(t){return r&&(r._snapshotInProgress=!1),a(t,u,e.format)})).then((function(t){s(t)})).catch((function(t){r&&(r._snapshotInProgress=!1),l(t)}))}))}},{"../lib":750,"../plot_api/to_image":791,"./filesaver":885,"./helpers":886}],885:[function(t,e,r){"use strict";var n=t("../lib"),i=t("./helpers");e.exports=function(t,e,r){var a=document.createElement("a"),o="download"in a;return new Promise((function(s,l){var c,u;if(n.isIE9orBelow()&&l(new Error("IE < 10 unsupported")),n.isSafari()){var h="svg"===r?",":";base64,";return i.octetStream(h+encodeURIComponent(t)),s(e)}return n.isIE()?(c=i.createBlob(t,"svg"),window.navigator.msSaveBlob(c,e),c=null,s(e)):o?(c=i.createBlob(t,r),u=i.createObjectURL(c),a.href=u,a.download=e,document.body.appendChild(a),a.click(),document.body.removeChild(a),i.revokeObjectURL(u),c=null,s(e)):void l(new Error("download error"))}))}},{"../lib":750,"./helpers":886}],886:[function(t,e,r){"use strict";var n=t("../registry");r.getDelay=function(t){return t._has&&(t._has("gl3d")||t._has("gl2d")||t._has("mapbox"))?500:0},r.getRedrawFunc=function(t){return function(){var e=t._fullLayout||{};!(e._has&&e._has("polar"))&&t.data&&t.data[0]&&t.data[0].r||n.getComponentMethod("colorbar","draw")(t)}},r.encodeSVG=function(t){return"data:image/svg+xml,"+encodeURIComponent(t)},r.encodeJSON=function(t){return"data:application/json,"+encodeURIComponent(t)};var i=window.URL||window.webkitURL;r.createObjectURL=function(t){return i.createObjectURL(t)},r.revokeObjectURL=function(t){return i.revokeObjectURL(t)},r.createBlob=function(t,e){if("svg"===e)return new window.Blob([t],{type:"image/svg+xml;charset=utf-8"});if("full-json"===e)return new window.Blob([t],{type:"application/json;charset=utf-8"});var r=function(t){for(var e=t.length,r=new ArrayBuffer(e),n=new Uint8Array(r),i=0;i<e;i++)n[i]=t.charCodeAt(i);return r}(window.atob(t));return new window.Blob([r],{type:"image/"+e})},r.octetStream=function(t){document.location.href="data:application/octet-stream"+t},r.IMAGE_URL_PREFIX=/^data:image\/\w+;base64,/,r.MSG_IE_BAD_FORMAT="Sorry IE does not support downloading from canvas. Try {format:'svg'} instead."},{"../registry":882}],887:[function(t,e,r){"use strict";var n=t("./helpers"),i={getDelay:n.getDelay,getRedrawFunc:n.getRedrawFunc,clone:t("./cloneplot"),toSVG:t("./tosvg"),svgToImg:t("./svgtoimg"),toImage:t("./toimage"),downloadImage:t("./download")};e.exports=i},{"./cloneplot":883,"./download":884,"./helpers":886,"./svgtoimg":888,"./toimage":889,"./tosvg":890}],888:[function(t,e,r){"use strict";var n=t("../lib"),i=t("events").EventEmitter,a=t("./helpers");e.exports=function(t){var e=t.emitter||new i,r=new Promise((function(i,o){var s=window.Image,l=t.svg,c=t.format||"png";if(n.isIE()&&"svg"!==c){var u=new Error(a.MSG_IE_BAD_FORMAT);return o(u),t.promise?r:e.emit("error",u)}var h,f,p=t.canvas,d=t.scale||1,g=t.width||300,m=t.height||150,v=d*g,y=d*m,x=p.getContext("2d"),b=new s;"svg"===c||n.isIE9orBelow()||n.isSafari()?f=a.encodeSVG(l):(h=a.createBlob(l,"svg"),f=a.createObjectURL(h)),p.width=v,p.height=y,b.onload=function(){var r;switch(h=null,a.revokeObjectURL(f),"svg"!==c&&x.drawImage(b,0,0,v,y),c){case"jpeg":r=p.toDataURL("image/jpeg");break;case"png":r=p.toDataURL("image/png");break;case"webp":r=p.toDataURL("image/webp");break;case"svg":r=f;break;default:var n="Image format is not jpeg, png, svg or webp.";if(o(new Error(n)),!t.promise)return e.emit("error",n)}i(r),t.promise||e.emit("success",r)},b.onerror=function(r){if(h=null,a.revokeObjectURL(f),o(r),!t.promise)return e.emit("error",r)},b.src=f}));return t.promise?r:e}},{"../lib":750,"./helpers":886,events:110}],889:[function(t,e,r){"use strict";var n=t("events").EventEmitter,i=t("../registry"),a=t("../lib"),o=t("./helpers"),s=t("./cloneplot"),l=t("./tosvg"),c=t("./svgtoimg");e.exports=function(t,e){var r=new n,u=s(t,{format:"png"}),h=u.gd;h.style.position="absolute",h.style.left="-5000px",document.body.appendChild(h);var f=o.getRedrawFunc(h);return i.call("plot",h,u.data,u.layout,u.config).then(f).then((function(){var t=o.getDelay(h._fullLayout);setTimeout((function(){var t=l(h),n=document.createElement("canvas");n.id=a.randstr(),(r=c({format:e.format,width:h._fullLayout.width,height:h._fullLayout.height,canvas:n,emitter:r,svg:t})).clean=function(){h&&document.body.removeChild(h)}}),t)})).catch((function(t){r.emit("error",t)})),r}},{"../lib":750,"../registry":882,"./cloneplot":883,"./helpers":886,"./svgtoimg":888,"./tosvg":890,events:110}],890:[function(t,e,r){"use strict";var n=t("d3"),i=t("../lib"),a=t("../components/drawing"),o=t("../components/color"),s=t("../constants/xmlns_namespaces"),l=/"/g,c=new RegExp('("TOBESTRIPPED)|(TOBESTRIPPED")',"g");e.exports=function(t,e,r){var u,h=t._fullLayout,f=h._paper,p=h._toppaper,d=h.width,g=h.height;f.insert("rect",":first-child").call(a.setRect,0,0,d,g).call(o.fill,h.paper_bgcolor);var m=h._basePlotModules||[];for(u=0;u<m.length;u++){var v=m[u];v.toSVG&&v.toSVG(t)}if(p){var y=p.node().childNodes,x=Array.prototype.slice.call(y);for(u=0;u<x.length;u++){var b=x[u];b.childNodes.length&&f.node().appendChild(b)}}if(h._draggers&&h._draggers.remove(),f.node().style.background="",f.selectAll("text").attr({"data-unformatted":null,"data-math":null}).each((function(){var t=n.select(this);if("hidden"!==this.style.visibility&&"none"!==this.style.display){t.style({visibility:null,display:null});var e=this.style.fontFamily;e&&-1!==e.indexOf('"')&&t.style("font-family",e.replace(l,"TOBESTRIPPED"))}else t.remove()})),h._gradientUrlQueryParts){var _=[];for(var w in h._gradientUrlQueryParts)_.push(w);_.length&&f.selectAll(_.join(",")).each((function(){var t=n.select(this),e=this.style.fill;e&&-1!==e.indexOf("url(")&&t.style("fill",e.replace(l,"TOBESTRIPPED"));var r=this.style.stroke;r&&-1!==r.indexOf("url(")&&t.style("stroke",r.replace(l,"TOBESTRIPPED"))}))}"pdf"!==e&&"eps"!==e||f.selectAll("#MathJax_SVG_glyphs path").attr("stroke-width",0),f.node().setAttributeNS(s.xmlns,"xmlns",s.svg),f.node().setAttributeNS(s.xmlns,"xmlns:xlink",s.xlink),"svg"===e&&r&&(f.attr("width",r*d),f.attr("height",r*g),f.attr("viewBox","0 0 "+d+" "+g));var T=(new window.XMLSerializer).serializeToString(f.node());return T=function(t){var e=n.select("body").append("div").style({display:"none"}).html(""),r=t.replace(/(&[^;]*;)/gi,(function(t){return"&lt;"===t?"&#60;":"&rt;"===t?"&#62;":-1!==t.indexOf("<")||-1!==t.indexOf(">")?"":e.html(t).text()}));return e.remove(),r}(T),T=(T=T.replace(/&(?!\w+;|\#[0-9]+;| \#x[0-9A-F]+;)/g,"&amp;")).replace(c,"'"),i.isIE()&&(T=(T=(T=T.replace(/"/gi,"'")).replace(/(\('#)([^']*)('\))/gi,'("#$2")')).replace(/(\\')/gi,'"')),T}},{"../components/color":615,"../components/drawing":637,"../constants/xmlns_namespaces":726,"../lib":750,d3:169}],891:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.hovertext,t,"htx");var i=e.marker;if(i){n.mergeArray(i.opacity,t,"mo",!0),n.mergeArray(i.color,t,"mc");var a=i.line;a&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"))}}},{"../../lib":750}],892:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/font_attributes"),l=t("./constants"),c=t("../../lib/extend").extendFlat,u=s({editType:"calc",arrayOk:!0,colorEditType:"style"}),h=c({},n.marker.line.width,{dflt:0}),f=c({width:h,editType:"calc"},o("marker.line")),p=c({line:f,editType:"calc"},o("marker"),{opacity:{valType:"number",arrayOk:!0,dflt:1,min:0,max:1,editType:"style"}});e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,texttemplate:a({editType:"plot"},{keys:l.eventDataKeys}),hovertext:n.hovertext,hovertemplate:i({},{keys:l.eventDataKeys}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"none",arrayOk:!0,editType:"calc"},insidetextanchor:{valType:"enumerated",values:["end","middle","start"],dflt:"end",editType:"plot"},textangle:{valType:"angle",dflt:"auto",editType:"plot"},textfont:c({},u,{}),insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),constraintext:{valType:"enumerated",values:["inside","outside","both","none"],dflt:"both",editType:"calc"},cliponaxis:c({},n.cliponaxis,{}),orientation:{valType:"enumerated",values:["v","h"],editType:"calc+clearAxisTypes"},base:{valType:"any",dflt:null,arrayOk:!0,editType:"calc"},offset:{valType:"number",dflt:null,arrayOk:!0,editType:"calc"},width:{valType:"number",dflt:null,min:0,arrayOk:!0,editType:"calc"},marker:p,offsetgroup:{valType:"string",dflt:"",editType:"calc"},alignmentgroup:{valType:"string",dflt:"",editType:"calc"},selected:{marker:{opacity:n.selected.marker.opacity,color:n.selected.marker.color,editType:"style"},textfont:n.selected.textfont,editType:"style"},unselected:{marker:{opacity:n.unselected.marker.opacity,color:n.unselected.marker.color,editType:"style"},textfont:n.unselected.textfont,editType:"style"},r:n.r,t:n.t,_deprecated:{bardir:{valType:"enumerated",editType:"calc",values:["v","h"]}}}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/font_attributes":827,"../../plots/template_attributes":877,"../scatter/attributes":1158,"./constants":894}],893:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("../../components/colorscale/helpers").hasColorscale,o=t("../../components/colorscale/calc"),s=t("./arrays_to_calcdata"),l=t("../scatter/calc_selection");e.exports=function(t,e){var r,c,u,h,f=n.getFromId(t,e.xaxis||"x"),p=n.getFromId(t,e.yaxis||"y"),d={msUTC:!(!e.base&&0!==e.base)};"h"===e.orientation?(r=f.makeCalcdata(e,"x",d),u=p.makeCalcdata(e,"y"),c=i(e,p,"y",u),h=!!e.yperiodalignment):(r=p.makeCalcdata(e,"y",d),u=f.makeCalcdata(e,"x"),c=i(e,f,"x",u),h=!!e.xperiodalignment);for(var g=Math.min(c.length,r.length),m=new Array(g),v=0;v<g;v++)m[v]={p:c[v],s:r[v]},h&&(m[v].orig_p=u[v]),e.ids&&(m[v].id=String(e.ids[v]));return a(e,"marker")&&o(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),a(e,"marker.line")&&o(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}),s(m,e),l(m,e),m}},{"../../components/colorscale/calc":623,"../../components/colorscale/helpers":626,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"../scatter/calc_selection":1160,"./arrays_to_calcdata":891}],894:[function(t,e,r){"use strict";e.exports={TEXTPAD:3,eventDataKeys:["value","label"]}},{}],895:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib").isArrayOrTypedArray,a=t("../../constants/numerical").BADNUM,o=t("../../registry"),s=t("../../plots/cartesian/axes"),l=t("../../plots/cartesian/axis_ids").getAxisGroup,c=t("./sieve.js");function u(t,e,r,o,u){if(o.length){var b,_,w,T;switch(function(t,e){var r,a;for(r=0;r<e.length;r++){var o,s=e[r],l=s[0].trace,c="funnel"===l.type?l._base:l.base,u="h"===l.orientation?l.xcalendar:l.ycalendar,h="category"===t.type||"multicategory"===t.type?function(){return null}:t.d2c;if(i(c)){for(a=0;a<Math.min(c.length,s.length);a++)o=h(c[a],0,u),n(o)?(s[a].b=+o,s[a].hasB=1):s[a].b=0;for(;a<s.length;a++)s[a].b=0}else{o=h(c,0,u);var f=n(o);for(o=f?o:0,a=0;a<s.length;a++)s[a].b=o,f&&(s[a].hasB=1)}}}(r,o),u.mode){case"overlay":h(e,r,o,u);break;case"group":for(b=[],_=[],w=0;w<o.length;w++)void 0===(T=o[w])[0].trace.offset?_.push(T):b.push(T);_.length&&function(t,e,r,n,i){var o=new c(n,{sepNegVal:!1,overlapNoMerge:!i.norm});(function(t,e,r,n){for(var i=t._fullLayout,a=r.positions,o=r.distinctPositions,s=r.minDiff,c=r.traces,u=c.length,h=a.length!==o.length,f=s*(1-n.gap),m=l(i,e._id)+c[0][0].trace.orientation,v=i._alignmentOpts[m]||{},y=0;y<u;y++){var x,b,_=c[y],w=_[0].trace,T=v[w.alignmentgroup]||{},k=Object.keys(T.offsetGroups||{}).length,M=(x=k?f/k:h?f/u:f)*(1-(n.groupgap||0));b=k?((2*w._offsetIndex+1-k)*x-M)/2:h?((2*y+1-u)*x-M)/2:-M/2;var A=_[0].t;A.barwidth=M,A.poffset=b,A.bargroupwidth=f,A.bardelta=s}r.binWidth=c[0][0].t.barwidth/100,p(r),d(e,r),g(e,r,h)})(t,e,o,i),function(t){for(var e=t.traces,r=0;r<e.length;r++){var n=e[r];if(void 0===n[0].trace.base)for(var i=new c([n],{sepNegVal:!0,overlapNoMerge:!0}),o=0;o<n.length;o++){var s=n[o];if(s.p!==a){var l=i.put(s.p,s.b+s.s);l&&(s.b=l)}}}}(o),i.norm?(v(o),y(r,o,i)):m(r,o)}(t,e,r,_,u),b.length&&h(e,r,b,u);break;case"stack":case"relative":for(b=[],_=[],w=0;w<o.length;w++)void 0===(T=o[w])[0].trace.base?_.push(T):b.push(T);_.length&&function(t,e,r,n,i){var o=new c(n,{sepNegVal:"relative"===i.mode,overlapNoMerge:!(i.norm||"stack"===i.mode||"relative"===i.mode)});f(e,o,i),function(t,e,r){var n,i,o,l,c,u,h=x(t),f=e.traces;for(l=0;l<f.length;l++)if(n=f[l],"funnel"===(i=n[0].trace).type)for(c=0;c<n.length;c++)(u=n[c]).s!==a&&e.put(u.p,-.5*u.s);for(l=0;l<f.length;l++){n=f[l],i=n[0].trace,o="funnel"===i.type;var p=[];for(c=0;c<n.length;c++)if((u=n[c]).s!==a){var d;d=o?u.s:u.s+u.b;var g=e.put(u.p,d),m=g+d;u.b=g,u[h]=m,r.norm||(p.push(m),u.hasB&&p.push(g))}r.norm||(i._extremes[t._id]=s.findExtremes(t,p,{tozero:!0,padded:!0}))}}(r,o,i);for(var l=0;l<n.length;l++)for(var u=n[l],h=0;h<u.length;h++){var p=u[h];if(p.s!==a)p.b+p.s===o.get(p.p,p.s)&&(p._outmost=!0)}i.norm&&y(r,o,i)}(0,e,r,_,u),b.length&&h(e,r,b,u)}!function(t,e){var r,i,a,o=x(e),s={},l=1/0,c=-1/0;for(r=0;r<t.length;r++)for(a=t[r],i=0;i<a.length;i++){var u=a[i].p;n(u)&&(l=Math.min(l,u),c=Math.max(c,u))}var h=1e4/(c-l),f=s.round=function(t){return String(Math.round(h*(t-l)))};for(r=0;r<t.length;r++){(a=t[r])[0].t.extents=s;var p=a[0].t.poffset,d=Array.isArray(p);for(i=0;i<a.length;i++){var g=a[i],m=g[o]-g.w/2;if(n(m)){var v=g[o]+g.w/2,y=f(g.p);s[y]?s[y]=[Math.min(m,s[y][0]),Math.max(v,s[y][1])]:s[y]=[m,v]}g.p0=g.p+(d?p[i]:p),g.p1=g.p0+g.w,g.s0=g.b,g.s1=g.s0+g.s}}}(o,e)}}function h(t,e,r,n){for(var i=0;i<r.length;i++){var a=r[i],o=new c([a],{unitMinDiff:n.xCat||n.yCat,sepNegVal:!1,overlapNoMerge:!n.norm});f(t,o,n),n.norm?(v(o),y(e,o,n)):m(e,o)}}function f(t,e,r){for(var n=e.minDiff,i=e.traces,a=n*(1-r.gap),o=a*(1-(r.groupgap||0)),s=-o/2,l=0;l<i.length;l++){var c=i[l][0].t;c.barwidth=o,c.poffset=s,c.bargroupwidth=a,c.bardelta=n}e.binWidth=i[0][0].t.barwidth/100,p(e),d(t,e),g(t,e)}function p(t){var e,r,a=t.traces;for(e=0;e<a.length;e++){var o,s=a[e],l=s[0],c=l.trace,u=l.t,h=c._offset||c.offset,f=u.poffset;if(i(h)){for(o=Array.prototype.slice.call(h,0,s.length),r=0;r<o.length;r++)n(o[r])||(o[r]=f);for(r=o.length;r<s.length;r++)o.push(f);u.poffset=o}else void 0!==h&&(u.poffset=h);var p=c._width||c.width,d=u.barwidth;if(i(p)){var g=Array.prototype.slice.call(p,0,s.length);for(r=0;r<g.length;r++)n(g[r])||(g[r]=d);for(r=g.length;r<s.length;r++)g.push(d);if(u.barwidth=g,void 0===h){for(o=[],r=0;r<s.length;r++)o.push(f+(d-g[r])/2);u.poffset=o}}else void 0!==p&&(u.barwidth=p,void 0===h&&(u.poffset=f+(d-p)/2))}}function d(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++)for(var a=r[i],o=a[0].t,s=o.poffset,l=Array.isArray(s),c=o.barwidth,u=Array.isArray(c),h=0;h<a.length;h++){var f=a[h],p=f.w=u?c[h]:c;f[n]=f.p+(l?s[h]:s)+p/2}}function g(t,e,r){var n=e.traces,i=e.minDiff/2;s.minDtick(t,e.minDiff,e.distinctPositions[0],r);for(var a=0;a<n.length;a++){var o,l,c,u,h=n[a],f=h[0],p=f.trace,d=[];for(u=0;u<h.length;u++)l=(o=h[u]).p-i,c=o.p+i,d.push(l,c);if(p.width||p.offset){var g=f.t,m=g.poffset,v=g.barwidth,y=Array.isArray(m),x=Array.isArray(v);for(u=0;u<h.length;u++){o=h[u];var b=y?m[u]:m,_=x?v[u]:v;c=(l=o.p+b)+_,d.push(l,c)}}p._extremes[t._id]=s.findExtremes(t,d,{padded:!1})}}function m(t,e){for(var r=e.traces,n=x(t),i=0;i<r.length;i++){for(var a=r[i],o=a[0].trace,l=[],c=!1,u=0;u<a.length;u++){var h=a[u],f=h.b,p=f+h.s;h[n]=p,l.push(p),h.hasB&&l.push(f),h.hasB&&h.b||(c=!0)}o._extremes[t._id]=s.findExtremes(t,l,{tozero:c,padded:!0})}}function v(t){for(var e=t.traces,r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var o=n[i];o.s!==a&&t.put(o.p,o.b+o.s)}}function y(t,e,r){var i=e.traces,o=x(t),l="fraction"===r.norm?1:100,c=l/1e9,u=t.l2c(t.c2l(0)),h="stack"===r.mode?l:u;function f(e){return n(t.c2l(e))&&(e<u-c||e>h+c||!n(u))}for(var p=0;p<i.length;p++){for(var d=i[p],g=d[0].trace,m=[],v=!1,y=!1,b=0;b<d.length;b++){var _=d[b];if(_.s!==a){var w=Math.abs(l/e.get(_.p,_.s));_.b*=w,_.s*=w;var T=_.b,k=T+_.s;_[o]=k,m.push(k),y=y||f(k),_.hasB&&(m.push(T),y=y||f(T)),_.hasB&&_.b||(v=!0)}}g._extremes[t._id]=s.findExtremes(t,m,{tozero:v,padded:y})}}function x(t){return t._id.charAt(0)}e.exports={crossTraceCalc:function(t,e){for(var r=e.xaxis,n=e.yaxis,i=t._fullLayout,a=t._fullData,s=t.calcdata,l=[],c=[],h=0;h<a.length;h++){var f=a[h];if(!0===f.visible&&o.traceIs(f,"bar")&&f.xaxis===r._id&&f.yaxis===n._id&&("h"===f.orientation?l.push(s[h]):c.push(s[h]),f._computePh))for(var p=t.calcdata[h],d=0;d<p.length;d++)"function"==typeof p[d].ph0&&(p[d].ph0=p[d].ph0()),"function"==typeof p[d].ph1&&(p[d].ph1=p[d].ph1())}var g={xCat:"category"===r.type||"multicategory"===r.type,yCat:"category"===n.type||"multicategory"===n.type,mode:i.barmode,norm:i.barnorm,gap:i.bargap,groupgap:i.bargroupgap};u(t,r,n,c,g),u(t,n,r,l,g)},setGroupPositions:u}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/axes":799,"../../plots/cartesian/axis_ids":802,"../../registry":882,"./sieve.js":905,"fast-isnumeric":241}],896:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../registry"),o=t("../scatter/xy_defaults"),s=t("../scatter/period_defaults"),l=t("./style_defaults"),c=t("../../plots/cartesian/axis_ids").getAxisGroup,u=t("./attributes"),h=n.coerceFont;function f(t,e,r,n){var i=e.orientation,a=e[{v:"x",h:"y"}[i]+"axis"],o=c(r,a)+i,s=r._alignmentOpts||{},l=n("alignmentgroup"),u=s[o];u||(u=s[o]={});var h=u[l];h?h.traces.push(e):h=u[l]={traces:[e],alignmentIndex:Object.keys(u).length,offsetGroups:{}};var f=n("offsetgroup"),p=h.offsetGroups,d=p[f];f&&(d||(d=p[f]={offsetIndex:Object.keys(p).length}),e._offsetIndex=d.offsetIndex)}function p(t,e,r,i,a,o){var s=!(!1===(o=o||{}).moduleHasSelected),l=!(!1===o.moduleHasUnselected),c=!(!1===o.moduleHasConstrain),u=!(!1===o.moduleHasCliponaxis),f=!(!1===o.moduleHasTextangle),p=!(!1===o.moduleHasInsideanchor),d=!!o.hasPathbar,g=Array.isArray(a)||"auto"===a,m=g||"inside"===a,v=g||"outside"===a;if(m||v){var y=h(i,"textfont",r.font),x=n.extendFlat({},y),b=!(t.textfont&&t.textfont.color);if(b&&delete x.color,h(i,"insidetextfont",x),d){var _=n.extendFlat({},y);b&&delete _.color,h(i,"pathbar.textfont",_)}v&&h(i,"outsidetextfont",y),s&&i("selected.textfont.color"),l&&i("unselected.textfont.color"),c&&i("constraintext"),u&&i("cliponaxis"),f&&i("textangle"),i("texttemplate")}m&&p&&i("insidetextanchor")}e.exports={supplyDefaults:function(t,e,r,c){function h(r,i){return n.coerce(t,e,u,r,i)}if(o(t,e,c,h)){s(t,e,c,h),h("orientation",e.x&&!e.y?"h":"v"),h("base"),h("offset"),h("width"),h("text"),h("hovertext"),h("hovertemplate");var f=h("textposition");p(t,e,c,h,f,{moduleHasSelected:!0,moduleHasUnselected:!0,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),l(t,e,h,r,c);var d=(e.marker.line||{}).color,g=a.getComponentMethod("errorbars","supplyDefaults");g(t,e,d||i.defaultLine,{axis:"y"}),g(t,e,d||i.defaultLine,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1},crossTraceDefaults:function(t,e){var r;function i(t){return n.coerce(r._input,r,u,t)}if("group"===e.barmode)for(var a=0;a<t.length;a++)"bar"===(r=t[a]).type&&(r._input,f(0,r,e,i))},handleGroupingDefaults:f,handleText:p}},{"../../components/color":615,"../../lib":750,"../../plots/cartesian/axis_ids":802,"../../registry":882,"../scatter/period_defaults":1178,"../scatter/xy_defaults":1185,"./attributes":892,"./style_defaults":907}],897:[function(t,e,r){"use strict";e.exports=function(t,e,r){return t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),"h"===r.orientation?(t.label=t.y,t.value=t.x):(t.label=t.x,t.value=t.y),t}},{}],898:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../../lib").isArrayOrTypedArray;r.coerceString=function(t,e,r){if("string"==typeof e){if(e||!t.noBlank)return e}else if(("number"==typeof e||!0===e)&&!t.strict)return String(e);return void 0!==r?r:t.dflt},r.coerceNumber=function(t,e,r){if(n(e)){e=+e;var i=t.min,a=t.max;if(!(void 0!==i&&e<i||void 0!==a&&e>a))return e}return void 0!==r?r:t.dflt},r.coerceColor=function(t,e,r){return i(e).isValid()?e:void 0!==r?r:t.dflt},r.coerceEnumerated=function(t,e,r){return t.coerceNumber&&(e=+e),-1!==t.values.indexOf(e)?e:void 0!==r?r:t.dflt},r.getValue=function(t,e){var r;return Array.isArray(t)?e<t.length&&(r=t[e]):r=t,r},r.getLineWidth=function(t,e){return 0<e.mlw?e.mlw:a(t.marker.line.width)?0:t.marker.line.width}},{"../../lib":750,"fast-isnumeric":241,tinycolor2:548}],899:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../registry"),a=t("../../components/color"),o=t("../../lib").fillText,s=t("./helpers").getLineWidth,l=t("../../plots/cartesian/axes").hoverLabelText,c=t("../../constants/numerical").BADNUM;function u(t,e,r,i){var a,s,u,h,f,p,d,g=t.cd,m=g[0].trace,v=g[0].t,y="closest"===i,x="waterfall"===m.type,b=t.maxHoverDistance;function _(t){return t[u]-t.w/2}function w(t){return t[u]+t.w/2}var T=y?_:function(t){return Math.min(_(t),t.p-v.bardelta/2)},k=y?w:function(t){return Math.max(w(t),t.p+v.bardelta/2)};function M(t,e){return n.inbox(t-a,e-a,b+Math.min(1,Math.abs(e-t)/d)-1)}function A(t){return M(T(t),k(t))}function S(t){var e=s,r=t.b,i=t[h];if(x){var a=Math.abs(t.rawS)||0;e>0?i+=a:e<0&&(i-=a)}return n.inbox(r-e,i-e,b+(i-e)/(i-r)-1)}"h"===m.orientation?(a=r,s=e,u="y",h="x",f=S,p=A):(a=e,s=r,u="x",h="y",p=S,f=A);var E=t[u+"a"],C=t[h+"a"];d=Math.abs(E.r2c(E.range[1])-E.r2c(E.range[0]));var L=n.getDistanceFunction(i,f,p,(function(t){return(f(t)+p(t))/2}));if(n.getClosest(g,L,t),!1!==t.index&&g[t.index].p!==c){y||(T=function(t){return Math.min(_(t),t.p-v.bargroupwidth/2)},k=function(t){return Math.max(w(t),t.p+v.bargroupwidth/2)});var P=g[t.index],I=m.base?P.b+P.s:P.s;t[h+"0"]=t[h+"1"]=C.c2p(P[h],!0),t[h+"LabelVal"]=I;var z=v.extents[v.extents.round(P.p)];t[u+"0"]=E.c2p(y?T(P):z[0],!0),t[u+"1"]=E.c2p(y?k(P):z[1],!0);var O=void 0!==P.orig_p;return t[u+"LabelVal"]=O?P.orig_p:P.p,t.labelLabel=l(E,t[u+"LabelVal"]),t.valueLabel=l(C,t[h+"LabelVal"]),t.baseLabel=l(C,P.b),t.spikeDistance=(S(P)+function(t){return M(_(t),w(t))}(P))/2-b,t[u+"Spike"]=E.c2p(P.p,!0),o(P,m,t),t.hovertemplate=m.hovertemplate,t}}function h(t,e){var r=e.mcc||t.marker.color,n=e.mlcc||t.marker.line.color,i=s(t,e);return a.opacity(r)?r:a.opacity(n)&&i?n:void 0}e.exports={hoverPoints:function(t,e,r,n){var a=u(t,e,r,n);if(a){var o=a.cd,s=o[0].trace,l=o[a.index];return a.color=h(s,l),i.getComponentMethod("errorbars","hoverInfo")(l,s,a),[a]}},hoverOnBars:u,getTraceColor:h}},{"../../components/color":615,"../../components/fx":655,"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/axes":799,"../../registry":882,"./helpers":898}],900:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc").crossTraceCalc,colorbar:t("../scatter/marker_colorbar"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"bar",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","bar","oriented","errorBarsOK","showLegend","zoomScale"],animatable:!0,meta:{}}},{"../../plots/cartesian":812,"../scatter/marker_colorbar":1176,"./arrays_to_calcdata":891,"./attributes":892,"./calc":893,"./cross_trace_calc":895,"./defaults":896,"./event_data":897,"./hover":899,"./layout_attributes":901,"./layout_defaults":902,"./plot":903,"./select":904,"./style":906}],901:[function(t,e,r){"use strict";e.exports={barmode:{valType:"enumerated",values:["stack","group","overlay","relative"],dflt:"group",editType:"calc"},barnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},bargap:{valType:"number",min:0,max:1,editType:"calc"},bargroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],902:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../plots/cartesian/axes"),a=t("../../lib"),o=t("./layout_attributes");e.exports=function(t,e,r){function s(r,n){return a.coerce(t,e,o,r,n)}for(var l=!1,c=!1,u=!1,h={},f=s("barmode"),p=0;p<r.length;p++){var d=r[p];if(n.traceIs(d,"bar")&&d.visible){if(l=!0,"group"===f){var g=d.xaxis+d.yaxis;h[g]&&(u=!0),h[g]=!0}if(d.visible&&"histogram"===d.type)"category"!==i.getFromId({_fullLayout:e},d["v"===d.orientation?"xaxis":"yaxis"]).type&&(c=!0)}}l?("overlay"!==f&&s("barnorm"),s("bargap",c&&!u?0:.2),s("bargroupgap")):delete e.barmode}},{"../../lib":750,"../../plots/cartesian/axes":799,"../../registry":882,"./layout_attributes":901}],903:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../lib/svg_text_utils"),s=t("../../components/color"),l=t("../../components/drawing"),c=t("../../registry"),u=t("../../plots/cartesian/axes").tickText,h=t("./uniform_text"),f=h.recordMinTextSize,p=h.clearMinTextSize,d=t("./style"),g=t("./helpers"),m=t("./constants"),v=t("./attributes"),y=v.text,x=v.textposition,b=t("../../components/fx/helpers").appendArrayPointValue,_=m.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&A(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each("end",(function(){i&&i()})).each("interrupt",(function(){i&&i()}))):t}function A(t){return t&&t.duration>0}function S(t){return"auto"===t?0:t}function E(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function C(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor||"end",u="end"===c,h="start"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=i.width,g=i.height,m=Math.abs(e-t),v=Math.abs(n-r),y=m>2*_&&v>2*_?_:0;m-=2*y,v-=2*y;var x=S(l);"auto"!==l||d<=m&&g<=v||!(d>m||g>v)||(d>v||g>m)&&d<g==m<v||(x+=90);var b=E(i,x),w=1;s&&(w=Math.min(1,m/b.x,v/b.y));var T=i.left*p+i.right*f,M=(i.top+i.bottom)/2,A=(t+_)*p+(e-_)*f,C=(r+n)/2,L=0,P=0;if(h||u){var I=(o?b.x:b.y)/2,z=o?k(t,e):k(r,n);o?h?(A=t+z*y,L=-z*I):(A=e-z*y,L=z*I):h?(C=r+z*y,P=-z*I):(C=n-z*y,P=z*I)}return{textX:T,textY:M,targetX:A,targetY:C,anchorX:L,anchorY:P,scale:w,rotate:x}}e.exports={plot:function(t,e,r,h,m,v){var w=e.xaxis,L=e.yaxis,P=t._fullLayout;m||(m={mode:P.barmode,norm:P.barmode,gap:P.bargap,groupgap:P.bargroupgap},p("bar",P));var I=a.makeTraceGroups(h,r,"trace bars").each((function(r){var c=n.select(this),h=r[0].trace,p="waterfall"===h.type,I="funnel"===h.type,z="bar"===h.type||I,O=0;p&&h.connector.visible&&"between"===h.connector.mode&&(O=h.connector.line.width/2);var D="h"===h.orientation,R=A(m),F=a.ensureSingle(c,"g","points"),B=T(h),N=F.selectAll("g.point").data(a.identity,B);N.enter().append("g").classed("point",!0),N.exit().remove(),N.each((function(c,p){var T,A,I=n.select(this),F=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),n?[i,a]:[a,i]}(c,w,L,D),B=F[0][0],N=F[0][1],j=F[1][0],U=F[1][1],V=0==(D?N-B:U-j);if(V&&z&&g.getLineWidth(h,c)&&(V=!1),V||(V=!(i(B)&&i(N)&&i(j)&&i(U))),c.isBlank=V,V&&(D?N=B:U=j),O&&!V&&(D?(B-=k(B,N)*O,N+=k(B,N)*O):(j-=k(j,U)*O,U+=k(j,U)*O)),"waterfall"===h.type){if(!V){var q=h[c.dir].marker;T=q.line.width,A=q.color}}else T=g.getLineWidth(h,c),A=c.mc||h.marker.color;function H(t){var e=n.round(T/2%1,2);return 0===m.gap&&0===m.groupgap?n.round(Math.round(t)-e,2):t}if(!t._context.staticPlot){var G=s.opacity(A)<1||T>.01?H:function(t,e,r){return r&&t===e?t:Math.abs(t-e)>=2?H(t):t>e?Math.ceil(t):Math.floor(t)};B=G(B,N,D),N=G(N,B,D),j=G(j,U,!D),U=G(U,j,!D)}var Y=M(a.ensureSingle(I,"path"),P,m,v);if(Y.style("vector-effect","non-scaling-stroke").attr("d",isNaN((N-B)*(U-j))?"M0,0Z":"M"+B+","+j+"V"+U+"H"+N+"V"+j+"Z").call(l.setClipUrl,e.layerClipId,t),!P.uniformtext.mode&&R){var W=l.makePointStyleFns(h);l.singlePointStyle(c,Y,h,W,t)}!function(t,e,r,n,i,s,c,h,p,m,v){var w,T=e.xaxis,A=e.yaxis,L=t._fullLayout;function P(e,r,n){return a.ensureSingle(e,"text").text(r).attr({class:"bartext bartext-"+w,"text-anchor":"middle","data-notex":1}).call(l.font,n).call(o.convertToTspans,t)}var I=n[0].trace,z="h"===I.orientation,O=function(t,e,r,n,i){var o,s=e[0].trace;o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,"texttemplate");if(!s)return"";var l,c,h,f,p="waterfall"===o.type,d="funnel"===o.type;"h"===o.orientation?(l="y",c=i,h="x",f=n):(l="x",c=n,h="y",f=i);function g(t){return u(f,+t,!0).text}var m=e[r],v={};v.label=m.p,v.labelLabel=v[l+"Label"]=(y=m.p,u(c,y,!0).text);var y;var x=a.castOption(o,m.i,"text");(0===x||x)&&(v.text=x);v.value=m.s,v.valueLabel=v[h+"Label"]=g(m.s);var _={};b(_,o,m.i),p&&(v.delta=+m.rawS||m.s,v.deltaLabel=g(v.delta),v.final=m.v,v.finalLabel=g(v.final),v.initial=v.final-v.delta,v.initialLabel=g(v.initial));d&&(v.value=m.s,v.valueLabel=g(v.value),v.percentInitial=m.begR,v.percentInitialLabel=a.formatPercent(m.begR),v.percentPrevious=m.difR,v.percentPreviousLabel=a.formatPercent(m.difR),v.percentTotal=m.sumR,v.percenTotalLabel=a.formatPercent(m.sumR));var w=a.castOption(o,m.i,"customdata");w&&(v.customdata=w);return a.texttemplateString(s,v,t._d3locale,_,v,o._meta||{})}(t,e,r,n,i):s.textinfo?function(t,e,r,n){var i=t[0].trace,o="h"===i.orientation,s="waterfall"===i.type,l="funnel"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f=i.textinfo,p=t[e],d=f.split("+"),g=[],m=function(t){return-1!==d.indexOf(t)};m("label")&&g.push((v=t[e].p,u(o?n:r,v,!0).text));var v;m("text")&&(0===(h=a.castOption(i,p.i,"text"))||h)&&g.push(h);if(s){var y=+p.rawS||p.s,x=p.v,b=x-y;m("initial")&&g.push(c(b)),m("delta")&&g.push(c(y)),m("final")&&g.push(c(x))}if(l){m("value")&&g.push(c(p.s));var _=0;m("percent initial")&&_++,m("percent previous")&&_++,m("percent total")&&_++;var w=_>1;m("percent initial")&&(h=a.formatPercent(p.begR),w&&(h+=" of initial"),g.push(h)),m("percent previous")&&(h=a.formatPercent(p.difR),w&&(h+=" of previous"),g.push(h)),m("percent total")&&(h=a.formatPercent(p.sumR),w&&(h+=" of total"),g.push(h))}return g.join("<br>")}(e,r,n,i):g.getValue(s.text,r);return g.coerceString(y,o)}(L,n,i,T,A);w=function(t,e){var r=g.getValue(t.textposition,e);return g.coerceEnumerated(x,r)}(I,i);var D="stack"===m.mode||"relative"===m.mode,R=n[i],F=!D||R._outmost;if(!O||"none"===w||(R.isBlank||s===c||h===p)&&("auto"===w||"inside"===w))return void r.select("text").remove();var B=L.font,N=d.getBarColor(n[i],I),j=d.getInsideTextFont(I,i,B,N),U=d.getOutsideTextFont(I,i,B),V=r.datum();z?"log"===T.type&&V.s0<=0&&(s=T.range[0]<T.range[1]?0:T._length):"log"===A.type&&V.s0<=0&&(h=A.range[0]<A.range[1]?A._length:0);var q,H,G,Y,W,Z=Math.abs(c-s)-2*_,X=Math.abs(p-h)-2*_;"outside"===w&&(F||R.hasB||(w="inside"));if("auto"===w)if(F){w="inside",W=a.ensureUniformFontSize(t,j),q=P(r,O,W),H=l.bBox(q.node()),G=H.width,Y=H.height;var J=G<=Z&&Y<=X,K=G<=X&&Y<=Z,Q=z?Z>=G*(X/Y):X>=Y*(Z/G);G>0&&Y>0&&(J||K||Q)?w="inside":(w="outside",q.remove(),q=null)}else w="inside";if(!q){W=a.ensureUniformFontSize(t,"outside"===w?U:j);var $=(q=P(r,O,W)).attr("transform");if(q.attr("transform",""),H=l.bBox(q.node()),G=H.width,Y=H.height,q.attr("transform",$),G<=0||Y<=0)return void q.remove()}var tt,et,rt=I.textangle;"outside"===w?(et="both"===I.constraintext||"outside"===I.constraintext,tt=function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:f>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var g=S(c),m=E(i,g),v=(s?m.x:m.y)/2,y=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,M=0,A=s?k(e,t):k(r,n);s?(b=e-A*o,T=A*v):(w=n+A*o,M=-A*v);return{textX:y,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:M,scale:d,rotate:g}}(s,c,h,p,H,{isHorizontal:z,constrained:et,angle:rt})):(et="both"===I.constraintext||"inside"===I.constraintext,tt=C(s,c,h,p,H,{isHorizontal:z,constrained:et,angle:rt,anchor:I.insidetextanchor}));tt.fontSize=W.size,f(I.type,tt,L),R.transform=tt,M(q,L,m,v).attr("transform",a.getTextTransform(tt))}(t,e,I,r,p,B,N,j,U,m,v),e.layerClipId&&l.hideOutsideRangePoint(c,I.select("text"),w,L,h.xcalendar,h.ycalendar)}));var j=!1===h.cliponaxis;l.setClipUrl(c,j?null:e.layerClipId,t)}));c.getComponentMethod("errorbars","plot")(t,I,e,m)},toMoveInsideBar:C}},{"../../components/color":615,"../../components/drawing":637,"../../components/fx/helpers":651,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/cartesian/axes":799,"../../registry":882,"./attributes":892,"./constants":894,"./helpers":898,"./style":906,"./uniform_text":908,d3:169,"fast-isnumeric":241}],904:[function(t,e,r){"use strict";function n(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}e.exports=function(t,e){var r,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l="funnel"===s.type,c="h"===s.orientation,u=[];if(!1===e)for(r=0;r<i.length;r++)i[r].selected=0;else for(r=0;r<i.length;r++){var h=i[r],f="ct"in h?h.ct:n(h,a,o,c,l);e.contains(f,!1,r,t)?(u.push({pointNumber:r,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},{}],905:[function(t,e,r){"use strict";e.exports=a;var n=t("../../lib").distinctVals,i=t("../../constants/numerical").BADNUM;function a(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l];c.p!==i&&a.push(c.p)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var u=n(a,{unitMinDiff:e.unitMinDiff});this.distinctPositions=u.vals,1===u.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(u.minDiff,r),this.binWidth=this.minDiff,this.bins={}}a.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},a.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},a.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?"v":"^")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},{"../../constants/numerical":725,"../../lib":750}],906:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../lib"),s=t("../../registry"),l=t("./uniform_text").resizeText,c=t("./attributes"),u=c.textfont,h=c.insidetextfont,f=c.outsidetextfont,p=t("./helpers");function d(t,e,r){a.pointStyle(t.selectAll("path"),e,r),g(t,e,r)}function g(t,e,r){t.selectAll("text").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,m(i,t,e,r));a.font(i,s)}))}function m(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed("bartext-inside")){var o=_(e,r);a=y(r,e.i,i,o)}else t.classed("bartext-outside")&&(a=x(r,e.i,i));return a}function v(t,e,r){return b(u,t.textfont,e,r)}function y(t,e,r,n){var a=v(t,e,r);return(void 0===t._input.textfont||void 0===t._input.textfont.color||Array.isArray(t.textfont.color)&&void 0===t.textfont.color[e])&&(a={color:i.contrast(n),family:a.family,size:a.size}),b(h,t.insidetextfont,e,a)}function x(t,e,r){var n=v(t,e,r);return b(f,t.outsidetextfont,e,n)}function b(t,e,r,n){e=e||{};var i=p.getValue(e.family,r),a=p.getValue(e.size,r),o=p.getValue(e.color,r);return{family:p.coerceString(t.family,i,n.family),size:p.coerceNumber(t.size,a,n.size),color:p.coerceColor(t.color,o,n.color)}}function _(t,e){return"waterfall"===e.type?e[t.dir].marker.color:t.mc||e.marker.color}e.exports={style:function(t){var e=n.select(t).selectAll("g.barlayer").selectAll("g.trace");l(t,e,"bar");var r=e.size(),i=t._fullLayout;e.style("opacity",(function(t){return t[0].trace.opacity})).each((function(t){("stack"===i.barmode&&r>1||0===i.bargap&&0===i.bargroupgap&&!t[0].trace.marker.line.width)&&n.select(this).attr("shape-rendering","crispEdges")})),e.selectAll("g.points").each((function(e){d(n.select(this),e[0].trace,t)})),s.getComponentMethod("errorbars","style")(e)},styleTextPoints:g,styleOnSelect:function(t,e,r){var i=e[0].trace;i.selectedpoints?function(t,e,r){a.selectedPointStyle(t.selectAll("path"),e),function(t,e,r){t.each((function(t){var i,s=n.select(this);if(t.selected){i=o.ensureUniformFontSize(r,m(s,t,e,r));var l=e.selected.textfont&&e.selected.textfont.color;l&&(i.color=l),a.font(s,i)}else a.selectedTextStyle(s,e)}))}(t.selectAll("text"),e,r)}(r,i,t):(d(r,i,t),s.getComponentMethod("errorbars","style")(r))},getInsideTextFont:y,getOutsideTextFont:x,getBarColor:_,resizeText:l}},{"../../components/color":615,"../../components/drawing":637,"../../lib":750,"../../registry":882,"./attributes":892,"./helpers":898,"./uniform_text":908,d3:169}],907:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults");e.exports=function(t,e,r,o,s){r("marker.color",o),i(t,"marker")&&a(t,e,s,r,{prefix:"marker.",cLetter:"c"}),r("marker.line.color",n.defaultLine),i(t,"marker.line")&&a(t,e,s,r,{prefix:"marker.line.",cLetter:"c"}),r("marker.line.width"),r("marker.opacity"),r("selected.marker.color"),r("unselected.marker.color")}},{"../../components/color":615,"../../components/colorscale/defaults":625,"../../components/colorscale/helpers":626}],908:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib");function a(t){return"_"+t+"Text_minsize"}e.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a["_"+r+"Text_minsize"];if(o){var s,l="hide"===a.uniformtext.mode;switch(r){case"funnelarea":case"pie":case"sunburst":s="g.slice";break;case"treemap":s="g.slice, g.pathbar";break;default:s="g.points > g.point"}e.selectAll(s).each((function(t){var e=t.transform;e&&(e.scale=l&&e.hide?0:o/e.fontSize,n.select(this).select("text").attr("transform",i.getTextTransform(e)))}))}}}},{"../../lib":750,d3:169}],909:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../lib/extend").extendFlat,a=t("../scatterpolar/attributes"),o=t("../bar/attributes");e.exports={r:a.r,theta:a.theta,r0:a.r0,dr:a.dr,theta0:a.theta0,dtheta:a.dtheta,thetaunit:a.thetaunit,base:i({},o.base,{}),offset:i({},o.offset,{}),width:i({},o.width,{}),text:i({},o.text,{}),hovertext:i({},o.hovertext,{}),marker:o.marker,hoverinfo:a.hoverinfo,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{"../../lib/extend":740,"../../plots/template_attributes":877,"../bar/attributes":892,"../scatterpolar/attributes":1232}],910:[function(t,e,r){"use strict";var n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("../bar/arrays_to_calcdata"),o=t("../bar/cross_trace_calc").setGroupPositions,s=t("../scatter/calc_selection"),l=t("../../registry").traceIs,c=t("../../lib").extendFlat;e.exports={calc:function(t,e){for(var r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,c=r[o].angularaxis,u=l.makeCalcdata(e,"r"),h=c.makeCalcdata(e,"theta"),f=e._length,p=new Array(f),d=u,g=h,m=0;m<f;m++)p[m]={p:g[m],s:d[m]};function v(t){var r=e[t];void 0!==r&&(e["_"+t]=Array.isArray(r)?c.makeCalcdata(e,t):c.d2c(r,e.thetaunit))}return"linear"===c.type&&(v("width"),v("offset")),n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],u=s[0].trace;!0===u.visible&&l(u,"bar")&&u.subplot===r&&i.push(s)}var h=c({},e.radialaxis,{_id:"x"}),f=e.angularaxis;o(t,f,h,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},{"../../components/colorscale/calc":623,"../../components/colorscale/helpers":626,"../../lib":750,"../../registry":882,"../bar/arrays_to_calcdata":891,"../bar/cross_trace_calc":895,"../scatter/calc_selection":1160}],911:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatterpolar/defaults").handleRThetaDefaults,a=t("../bar/style_defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l("thetaunit"),l("base"),l("offset"),l("width"),l("text"),l("hovertext"),l("hovertemplate"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},{"../../lib":750,"../bar/style_defaults":907,"../scatterpolar/defaults":1234,"./attributes":909}],912:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../bar/hover").getTraceColor,o=i.fillText,s=t("../scatterpolar/hover").makeHoverPointText,l=t("../../plots/polar/helpers").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,h=t.subplot,f=h.radialAxis,p=h.angularAxis,d=h.vangles,g=d?l:i.isPtInsideSector,m=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(f.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);f.range[0]>f.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return g(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?m+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,h,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign="left"),[t]}}},{"../../components/fx":655,"../../lib":750,"../../plots/polar/helpers":864,"../bar/hover":899,"../scatterpolar/hover":1236}],913:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"barpolar",basePlotModule:t("../../plots/polar"),categories:["polar","bar","showLegend"],attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("../scatterpolar/format_labels"),style:t("../bar/style").style,styleOnSelect:t("../bar/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../bar/select"),meta:{}}},{"../../plots/polar":865,"../bar/select":904,"../bar/style":906,"../scatter/marker_colorbar":1176,"../scatterpolar/format_labels":1235,"./attributes":909,"./calc":910,"./defaults":911,"./hover":912,"./layout_attributes":914,"./layout_defaults":915,"./plot":916}],914:[function(t,e,r){"use strict";e.exports={barmode:{valType:"enumerated",values:["stack","overlay"],dflt:"stack",editType:"calc"},bargap:{valType:"number",dflt:.1,min:0,max:1,editType:"calc"}}},{}],915:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var l=0;l<r.length;l++){var c=r[l];"barpolar"===c.type&&!0===c.visible&&(o[a=c.subplot]||(s("barmode"),s("bargap"),o[a]=1))}}},{"../../lib":750,"./layout_attributes":914}],916:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../components/drawing"),s=t("../../plots/polar/helpers");e.exports=function(t,e,r){var l=e.xaxis,c=e.yaxis,u=e.radialAxis,h=e.angularAxis,f=function(t){var e=t.cxx,r=t.cyy;if(t.vangles)return function(n,i,o,l){var c,u;a.angleDelta(o,l)>0?(c=o,u=l):(c=l,u=o);var h=[s.findEnclosingVertexAngles(c,t.vangles)[0],(c+u)/2,s.findEnclosingVertexAngles(u,t.vangles)[1]];return s.pathPolygonAnnulus(n,i,c,u,h,e,r)};return function(t,n,i,o){return a.pathAnnulus(t,n,i,o,e,r)}}(e),p=e.layers.frontplot.select("g.barlayer");a.makeTraceGroups(p,r,"trace bars").each((function(){var r=n.select(this),s=a.ensureSingle(r,"g","points").selectAll("g.point").data(a.identity);s.enter().append("g").style("vector-effect","non-scaling-stroke").style("stroke-miterlimit",2).classed("point",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=u.c2p(t.s0),s=t.rp1=u.c2p(t.s1),p=t.thetag0=h.c2g(t.p0),d=t.thetag1=h.c2g(t.p1);if(i(o)&&i(s)&&i(p)&&i(d)&&o!==s&&p!==d){var g=u.c2g(t.s1),m=(p+d)/2;t.ct=[l.c2p(g*Math.cos(m)),c.c2p(g*Math.sin(m))],e=f(o,s,p,d)}else e="M0,0Z";a.ensureSingle(r,"path").attr("d",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},{"../../components/drawing":637,"../../lib":750,"../../plots/polar/helpers":864,d3:169,"fast-isnumeric":241}],917:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../bar/attributes"),a=t("../../components/color/attributes"),o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../lib/extend").extendFlat,l=n.marker,c=l.line;e.exports={y:{valType:"data_array",editType:"calc+clearAxisTypes"},x:{valType:"data_array",editType:"calc+clearAxisTypes"},x0:{valType:"any",editType:"calc+clearAxisTypes"},y0:{valType:"any",editType:"calc+clearAxisTypes"},dx:{valType:"number",editType:"calc"},dy:{valType:"number",editType:"calc"},xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,name:{valType:"string",editType:"calc+clearAxisTypes"},q1:{valType:"data_array",editType:"calc+clearAxisTypes"},median:{valType:"data_array",editType:"calc+clearAxisTypes"},q3:{valType:"data_array",editType:"calc+clearAxisTypes"},lowerfence:{valType:"data_array",editType:"calc"},upperfence:{valType:"data_array",editType:"calc"},notched:{valType:"boolean",editType:"calc"},notchwidth:{valType:"number",min:0,max:.5,dflt:.25,editType:"calc"},notchspan:{valType:"data_array",editType:"calc"},boxpoints:{valType:"enumerated",values:["all","outliers","suspectedoutliers",!1],editType:"calc"},jitter:{valType:"number",min:0,max:1,editType:"calc"},pointpos:{valType:"number",min:-2,max:2,editType:"calc"},boxmean:{valType:"enumerated",values:[!0,"sd",!1],editType:"calc"},mean:{valType:"data_array",editType:"calc"},sd:{valType:"data_array",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc+clearAxisTypes"},quartilemethod:{valType:"enumerated",values:["linear","exclusive","inclusive"],dflt:"linear",editType:"calc"},width:{valType:"number",min:0,dflt:0,editType:"calc"},marker:{outliercolor:{valType:"color",dflt:"rgba(0, 0, 0, 0)",editType:"style"},symbol:s({},l.symbol,{arrayOk:!1,editType:"plot"}),opacity:s({},l.opacity,{arrayOk:!1,dflt:1,editType:"style"}),size:s({},l.size,{arrayOk:!1,editType:"calc"}),color:s({},l.color,{arrayOk:!1,editType:"style"}),line:{color:s({},c.color,{arrayOk:!1,dflt:a.defaultLine,editType:"style"}),width:s({},c.width,{arrayOk:!1,dflt:0,editType:"style"}),outliercolor:{valType:"color",editType:"style"},outlierwidth:{valType:"number",min:0,dflt:1,editType:"style"},editType:"style"},editType:"plot"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,whiskerwidth:{valType:"number",min:0,max:1,dflt:.5,editType:"calc"},offsetgroup:i.offsetgroup,alignmentgroup:i.alignmentgroup,selected:{marker:n.selected.marker,editType:"style"},unselected:{marker:n.unselected.marker,editType:"style"},text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),hovertemplate:o({}),hoveron:{valType:"flaglist",flags:["boxes","points"],dflt:"boxes+points",editType:"style"}}},{"../../components/color/attributes":614,"../../lib/extend":740,"../../plots/template_attributes":877,"../bar/attributes":892,"../scatter/attributes":1158}],918:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../plots/cartesian/axes"),a=t("../../plots/cartesian/align_period"),o=t("../../lib"),s=t("../../constants/numerical").BADNUM,l=o._;e.exports=function(t,e){var r,c,y,x,b,_,w,T=t._fullLayout,k=i.getFromId(t,e.xaxis||"x"),M=i.getFromId(t,e.yaxis||"y"),A=[],S="violin"===e.type?"_numViolins":"_numBoxes";"h"===e.orientation?(y=k,x="x",b=M,_="y",w=!!e.yperiodalignment):(y=M,x="y",b=k,_="x",w=!!e.xperiodalignment);var E,C,L,P,I,z,O=function(t,e,r,i){var s,l=e+"0"in t,c="d"+e in t;if(e in t||l&&c){var u=r.makeCalcdata(t,e);return[a(t,r,e,u),u]}s=l?t[e+"0"]:"name"in t&&("category"===r.type||n(t.name)&&-1!==["linear","log"].indexOf(r.type)||o.isDateTime(t.name)&&"date"===r.type)?t.name:i;for(var h="multicategory"===r.type?r.r2c_just_indices(s):r.d2c(s,0,t[e+"calendar"]),f=t._length,p=new Array(f),d=0;d<f;d++)p[d]=h;return[p]}(e,_,b,T[S]),D=O[0],R=O[1],F=o.distinctVals(D),B=F.vals,N=F.minDiff/2,j="all"===(e.boxpoints||e.points)?o.identity:function(t){return t.v<E.lf||t.v>E.uf};if(e._hasPreCompStats){var U=e[x],V=function(t){return y.d2c((e[t]||[])[r])},q=1/0,H=-1/0;for(r=0;r<e._length;r++){var G=D[r];if(n(G)){if((E={}).pos=E[_]=G,w&&R&&(E.orig_p=R[r]),E.q1=V("q1"),E.med=V("median"),E.q3=V("q3"),C=[],U&&o.isArrayOrTypedArray(U[r]))for(c=0;c<U[r].length;c++)(z=y.d2c(U[r][c]))!==s&&(u(I={v:z,i:[r,c]},e,[r,c]),C.push(I));if(E.pts=C.sort(h),P=(L=E[x]=C.map(f)).length,E.med!==s&&E.q1!==s&&E.q3!==s&&E.med>=E.q1&&E.q3>=E.med){var Y=V("lowerfence");E.lf=Y!==s&&Y<=E.q1?Y:p(E,L,P);var W=V("upperfence");E.uf=W!==s&&W>=E.q3?W:d(E,L,P);var Z=V("mean");E.mean=Z!==s?Z:P?o.mean(L,P):(E.q1+E.q3)/2;var X=V("sd");E.sd=Z!==s&&X>=0?X:P?o.stdev(L,P,E.mean):E.q3-E.q1,E.lo=g(E),E.uo=m(E);var J=V("notchspan");J=J!==s&&J>0?J:v(E,P),E.ln=E.med-J,E.un=E.med+J;var K=E.lf,Q=E.uf;e.boxpoints&&L.length&&(K=Math.min(K,L[0]),Q=Math.max(Q,L[P-1])),e.notched&&(K=Math.min(K,E.ln),Q=Math.max(Q,E.un)),E.min=K,E.max=Q}else{var $;o.warn(["Invalid input - make sure that q1 <= median <= q3","q1 = "+E.q1,"median = "+E.med,"q3 = "+E.q3].join("\n")),$=E.med!==s?E.med:E.q1!==s?E.q3!==s?(E.q1+E.q3)/2:E.q1:E.q3!==s?E.q3:0,E.med=$,E.q1=E.q3=$,E.lf=E.uf=$,E.mean=E.sd=$,E.ln=E.un=$,E.min=E.max=$}q=Math.min(q,E.min),H=Math.max(H,E.max),E.pts2=C.filter(j),A.push(E)}}e._extremes[y._id]=i.findExtremes(y,[q,H],{padded:!0})}else{var tt=y.makeCalcdata(e,x),et=function(t,e){for(var r=t.length,n=new Array(r+1),i=0;i<r;i++)n[i]=t[i]-e;return n[r]=t[r-1]+e,n}(B,N),rt=B.length,nt=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=[];return e}(rt);for(r=0;r<e._length;r++)if(z=tt[r],n(z)){var it=o.findBin(D[r],et);it>=0&&it<rt&&(u(I={v:z,i:r},e,r),nt[it].push(I))}var at=1/0,ot=-1/0,st=e.quartilemethod,lt="exclusive"===st,ct="inclusive"===st;for(r=0;r<rt;r++)if(nt[r].length>0){var ut,ht;if((E={}).pos=E[_]=B[r],C=E.pts=nt[r].sort(h),P=(L=E[x]=C.map(f)).length,E.min=L[0],E.max=L[P-1],E.mean=o.mean(L,P),E.sd=o.stdev(L,P,E.mean),E.med=o.interp(L,.5),P%2&&(lt||ct))lt?(ut=L.slice(0,P/2),ht=L.slice(P/2+1)):ct&&(ut=L.slice(0,P/2+1),ht=L.slice(P/2)),E.q1=o.interp(ut,.5),E.q3=o.interp(ht,.5);else E.q1=o.interp(L,.25),E.q3=o.interp(L,.75);E.lf=p(E,L,P),E.uf=d(E,L,P),E.lo=g(E),E.uo=m(E);var ft=v(E,P);E.ln=E.med-ft,E.un=E.med+ft,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=C.filter(j),A.push(E)}e._extremes[y._id]=i.findExtremes(y,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i)}}(A,e),A.length>0?(A[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,"median:"),min:l(t,"min:"),q1:l(t,"q1:"),q3:l(t,"q3:"),max:l(t,"max:"),mean:"sd"===e.boxmean?l(t,"mean \xb1 \u03c3:"):l(t,"mean:"),lf:l(t,"lower fence:"),uf:l(t,"upper fence:")}},T[S]++,A):[{t:{empty:!0}}]};var c={text:"tx",hovertext:"htx"};function u(t,e,r){for(var n in c)o.isArrayOrTypedArray(e[n])&&(Array.isArray(r)?o.isArrayOrTypedArray(e[n][r[0]])&&(t[c[n]]=e[n][r[0]][r[1]]):t[c[n]]=e[n][r])}function h(t,e){return t.v-e.v}function f(t){return t.v}function p(t,e,r){return 0===r?t.q1:Math.min(t.q1,e[Math.min(o.findBin(2.5*t.q1-1.5*t.q3,e,!0)+1,r-1)])}function d(t,e,r){return 0===r?t.q3:Math.max(t.q3,e[Math.max(o.findBin(2.5*t.q3-1.5*t.q1,e),0)])}function g(t){return 4*t.q1-3*t.q3}function m(t){return 4*t.q3-3*t.q1}function v(t,e){return 0===e?0:1.57*(t.q3-t.q1)/Math.sqrt(e)}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"fast-isnumeric":241}],919:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids").getAxisGroup,o=["v","h"];function s(t,e,r,o){var s,l,c,u=e.calcdata,h=e._fullLayout,f=o._id,p=f.charAt(0),d=[],g=0;for(s=0;s<r.length;s++)for(c=u[r[s]],l=0;l<c.length;l++)d.push(o.c2l(c[l].pos,!0)),g+=(c[l].pts2||[]).length;if(d.length){var m=i.distinctVals(d,{unitMinDiff:"category"===o.type||"multicategory"===o.type}),v=m.minDiff/2;n.minDtick(o,m.minDiff,m.vals[0],!0);var y=h["violin"===t?"_numViolins":"_numBoxes"],x="group"===h[t+"mode"]&&y>1,b=1-h[t+"gap"],_=1-h[t+"groupgap"];for(s=0;s<r.length;s++){var w,T,k,M,A,S,E=(c=u[r[s]])[0].trace,C=c[0].t,L=E.width,P=E.side;if(L)w=T=M=L/2,k=0;else if(w=v,x){var I=a(h,o._id)+E.orientation,z=(h._alignmentOpts[I]||{})[E.alignmentgroup]||{},O=Object.keys(z.offsetGroups||{}).length,D=O||y;T=w*b*_/D,k=2*w*(((O?E._offsetIndex:C.num)+.5)/D-.5)*b,M=w*b/D}else T=w*b*_,k=0,M=w;C.dPos=w,C.bPos=k,C.bdPos=T,C.wHover=M;var R,F,B,N,j,U,V=k+T,q=Boolean(L);if("positive"===P?(A=w*(L?1:.5),R=V,S=R=k):"negative"===P?(A=R=k,S=w*(L?1:.5),F=V):(A=S=w,R=F=V),(E.boxpoints||E.points)&&g>0){var H=E.pointpos,G=E.jitter,Y=E.marker.size/2,W=0;H+G>=0&&((W=V*(H+G))>A?(q=!0,j=Y,B=W):W>R&&(j=Y,B=A)),W<=A&&(B=A);var Z=0;H-G<=0&&((Z=-V*(H-G))>S?(q=!0,U=Y,N=Z):Z>F&&(U=Y,N=S)),Z<=S&&(N=S)}else B=A,N=S;var X=new Array(c.length);for(l=0;l<c.length;l++)X[l]=c[l].pos;E._extremes[f]=n.findExtremes(o,X,{padded:q,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}e.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],c="h"===l?i:n,u=[],h=0;h<r.length;h++){var f=r[h],p=f[0].t,d=f[0].trace;!0!==d.visible||"box"!==d.type&&"candlestick"!==d.type||p.empty||(d.orientation||"v")!==l||d.xaxis!==n._id||d.yaxis!==i._id||u.push(h)}s("box",t,u,c)}},setPositionOffset:s}},{"../../lib":750,"../../plots/cartesian/axes":799,"../../plots/cartesian/axis_ids":802}],920:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("../../components/color"),o=t("../scatter/period_defaults"),s=t("../bar/defaults").handleGroupingDefaults,l=t("../../plots/cartesian/axis_autotype"),c=t("./attributes");function u(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],c[e])}var u,h=r("y"),f=r("x");if("box"===e.type){var p=r("q1"),d=r("median"),g=r("q3");e._hasPreCompStats=p&&p.length&&d&&d.length&&g&&g.length,u=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(g))}var m,v,y=o(h),x=o(f),b=y&&n.minRowLength(h),_=x&&n.minRowLength(f);if(e._hasPreCompStats)switch(String(x)+String(y)){case"00":var w=s("x0")||s("dx");m=(s("y0")||s("dy"))&&!w?"h":"v",v=u;break;case"10":m="v",v=Math.min(u,_);break;case"20":m="h",v=Math.min(u,f.length);break;case"01":m="h",v=Math.min(u,b);break;case"02":m="v",v=Math.min(u,h.length);break;case"12":m="v",v=Math.min(u,_,h.length);break;case"21":m="h",v=Math.min(u,f.length,b);break;case"11":v=0;break;case"22":var T,k=!1;for(T=0;T<f.length;T++)if("category"===l(f[T])){k=!0;break}if(k)m="v",v=Math.min(u,_,h.length);else{for(T=0;T<h.length;T++)if("category"===l(h[T])){k=!0;break}k?(m="h",v=Math.min(u,f.length,b)):(m="v",v=Math.min(u,_,h.length))}}else y>0?(m="v",v=x>0?Math.min(_,b):Math.min(b)):x>0?(m="h",v=Math.min(_)):v=0;if(v){e._length=v;var M=r("orientation",m);e._hasPreCompStats?"v"===M&&0===x?(r("x0",0),r("dx",1)):"h"===M&&0===y&&(r("y0",0),r("dy",1)):"v"===M&&0===x?r("x0"):"h"===M&&0===y&&r("y0"),i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],a)}else e.visible=!1}function h(t,e,r,i){var a=i.prefix,o=n.coerce2(t,e,c,"marker.outliercolor"),s=r("marker.line.outliercolor"),l="outliers";e._hasPreCompStats?l="all":(o||s)&&(l="suspectedoutliers");var u=r(a+"points",l);u?(r("jitter","all"===u?.3:0),r("pointpos","all"===u?-1.5:0),r("marker.symbol"),r("marker.opacity"),r("marker.size"),r("marker.color",e.line.color),r("marker.line.color"),r("marker.line.width"),"suspectedoutliers"===u&&(r("marker.line.outliercolor",e.marker.color),r("marker.line.outlierwidth")),r("selected.marker.color"),r("unselected.marker.color"),r("selected.marker.size"),r("unselected.marker.size"),r("text"),r("hovertext")):delete e.marker;var h=r("hoveron");"all"!==h&&-1===h.indexOf("points")||r("hovertemplate"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,c,r,i)}if(u(t,e,s,i),!1!==e.visible){o(t,e,i,s);var l=e._hasPreCompStats;l&&(s("lowerfence"),s("upperfence")),s("line.color",(t.marker||{}).color||r),s("line.width"),s("fillcolor",a.addOpacity(e.line.color,.5));var f=!1;if(l){var p=s("mean"),d=s("sd");p&&p.length&&(f=!0,d&&d.length&&(f="sd"))}s("boxmean",f),s("whiskerwidth"),s("width"),s("quartilemethod");var g=!1;if(l){var m=s("notchspan");m&&m.length&&(g=!0)}else n.validate(t.notchwidth,c.notchwidth)&&(g=!0);s("notched",g)&&s("notchwidth"),h(t,e,s,{prefix:"box"})}},crossTraceDefaults:function(t,e){var r,i;function a(t){return n.coerce(i._input,i,c,t)}for(var o=0;o<t.length;o++){var l=(i=t[o]).type;"box"!==l&&"violin"!==l||(r=i._input,"group"===e[l+"mode"]&&s(r,i,e,a))}},handleSampleDefaults:u,handlePointsDefaults:h}},{"../../components/color":615,"../../lib":750,"../../plots/cartesian/axis_autotype":800,"../../registry":882,"../bar/defaults":896,"../scatter/period_defaults":1178,"./attributes":917}],921:[function(t,e,r){"use strict";e.exports=function(t,e){return e.hoverOnBox&&(t.hoverOnBox=e.hoverOnBox),"xVal"in e&&(t.x=e.xVal),"yVal"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],922:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../components/fx"),o=t("../../components/color"),s=i.fillText;function l(t,e,r,s){var l,c,u,h,f,p,d,g,m,v,y,x,b,_,w=t.cd,T=t.xa,k=t.ya,M=w[0].trace,A=w[0].t,S="violin"===M.type,E=[],C=A.bdPos,L=A.wHover,P=function(t){return u.c2l(t.pos)+A.bPos-u.c2l(p)};S&&"both"!==M.side?("positive"===M.side&&(m=function(t){var e=P(t);return a.inbox(e,e+L,v)},x=C,b=0),"negative"===M.side&&(m=function(t){var e=P(t);return a.inbox(e-L,e,v)},x=0,b=C)):(m=function(t){var e=P(t);return a.inbox(e-L,e+L,v)},x=b=C),_=S?function(t){return a.inbox(t.span[0]-f,t.span[1]-f,v)}:function(t){return a.inbox(t.min-f,t.max-f,v)},"h"===M.orientation?(f=e,p=r,d=_,g=m,l="y",u=k,c="x",h=T):(f=r,p=e,d=m,g=_,l="x",u=T,c="y",h=k);var I=Math.min(1,C/Math.abs(u.r2c(u.range[1])-u.r2c(u.range[0])));function z(t){return(d(t)+g(t))/2}v=t.maxHoverDistance-I,y=t.maxSpikeDistance-I;var O=a.getDistanceFunction(s,d,g,z);if(a.getClosest(w,O,t),!1===t.index)return[];var D=w[t.index],R=M.line.color,F=(M.marker||{}).color;o.opacity(R)&&M.line.width?t.color=R:o.opacity(F)&&M.boxpoints?t.color=F:t.color=M.fillcolor,t[l+"0"]=u.c2p(D.pos+A.bPos-b,!0),t[l+"1"]=u.c2p(D.pos+A.bPos+x,!0),t[l+"LabelVal"]=void 0!==D.orig_p?D.orig_p:D.pos;var B=l+"Spike";t.spikeDistance=z(D)*y/v,t[B]=u.c2p(D.pos,!0);var N={},j=["med","q1","q3","min","max"];(M.boxmean||(M.meanline||{}).visible)&&j.push("mean"),(M.boxpoints||M.points)&&j.push("lf","uf");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=i.extendFlat({},t);G.attr=V,G[c+"0"]=G[c+"1"]=H,G[c+"LabelVal"]=q,G[c+"Label"]=(A.labels?A.labels[V]+" ":"")+n.hoverLabelText(h,q),G.hoverOnBox=!0,"mean"===V&&"sd"in D&&"sd"===M.boxmean&&(G[c+"err"]=D.sd),t.name="",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var x=g(l=o.pts[y]);x<=t.distance&&(t.distance=x,m=[v,y])}}if(!m)return!1;l=(o=c[m[0]]).pts[m[1]];var b=u.c2p(l.x,!0),_=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:b-w,x1:b+w,y0:_-w,y1:_+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,M=void 0!==k?k:o.pos;return"h"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=M):(T=u,n.xLabelVal=M,n.yLabelVal=l.y),n[T._id.charAt(0)+"Spike"]=T.c2p(o.pos,!0),s(l,f,n),n}e.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf("boxes")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf("points")&&(i=c(t,e,r)),"closest"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},{"../../components/color":615,"../../components/fx":655,"../../lib":750,"../../plots/cartesian/axes":799}],923:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults").supplyLayoutDefaults,calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"box",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","oriented","box-violin","showLegend","boxLayout","zoomScale"],meta:{}}},{"../../plots/cartesian":812,"./attributes":917,"./calc":918,"./cross_trace_calc":919,"./defaults":920,"./event_data":921,"./hover":922,"./layout_attributes":924,"./layout_defaults":925,"./plot":926,"./select":927,"./style":928}],924:[function(t,e,r){"use strict";e.exports={boxmode:{valType:"enumerated",values:["group","overlay"],dflt:"overlay",editType:"calc"},boxgap:{valType:"number",min:0,max:1,dflt:.3,editType:"calc"},boxgroupgap:{valType:"number",min:0,max:1,dflt:.3,editType:"calc"}}},{}],925:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("./layout_attributes");function o(t,e,r,i,a){for(var o=a+"Layout",s=!1,l=0;l<r.length;l++){var c=r[l];if(n.traceIs(c,o)){s=!0;break}}s&&(i(a+"mode"),i(a+"gap"),i(a+"groupgap"))}e.exports={supplyLayoutDefaults:function(t,e,r){o(0,0,r,(function(r,n){return i.coerce(t,e,a,r,n)}),"box")},_supply:o}},{"../../lib":750,"../../registry":882,"./layout_attributes":924}],926:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing");function o(t,e,r,a){var o,s,l="h"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=a.bPos,p=a.wdPos||0,d=a.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var y=t.selectAll("path.box").data("violin"!==r.type||r.box.visible?i.identity:[]);y.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","box"),y.exit().remove(),y.each((function(t){if(t.empty)return"M0,0Z";var e=u.c2l(t.pos+f,!0),a=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(a+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?a*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr("d","M"+S+","+T+"V"+k+"M"+M+","+a+"V"+y+(m?"H"+P+"L"+S+","+k+"L"+I+","+y:"")+"H"+A+"V"+a+(m?"H"+I+"L"+S+","+T+"L"+P+","+a:"")+"ZM"+M+","+x+"H"+C+"M"+A+","+x+"H"+L+(0===g?"":"M"+C+","+_+"V"+w+"M"+L+","+_+"V"+w)):n.select(this).attr("d","M"+T+","+S+"H"+k+"M"+a+","+M+"H"+y+(m?"V"+P+"L"+k+","+S+"L"+y+","+I:"")+"V"+A+"H"+a+(m?"V"+I+"L"+T+","+S+"L"+a+","+P:"")+"ZM"+x+","+M+"V"+C+"M"+x+","+A+"V"+L+(0===g?"":"M"+_+","+C+"H"+w+"M"+_+","+L+"H"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;i.seedPseudoRandom();var h=t.selectAll("g.points").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append("g").attr("class","points"),h.exit().remove();var f=h.selectAll("path").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(a.length),e=0;e<a.length;e++)f[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),g=a[d].v,m=Math.min(a.length-1,e+5),v=a[m].v;"all"!==u&&(a[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=i.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*f[e]*(i.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);"h"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),"suspectedoutliers"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));f.enter().append("path").classed("point",!0),f.exit().remove(),f.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=a.bPos,f=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll("path.mean").data("box"===r.type&&r.boxmean||"violin"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append("path").attr("class","mean").style({fill:"none","vector-effect":"non-scaling-stroke"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),i=c.l2p(e-o)+f,a=c.l2p(e+s)+f,d=u?(i+a)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);"h"===r.orientation?n.select(this).attr("d","M"+g+","+i+"V"+a+("sd"===p?"m0,0L"+m+","+d+"L"+g+","+i+"L"+v+","+d+"Z":"")):n.select(this).attr("d","M"+i+","+g+"H"+a+("sd"===p?"m0,0L"+d+","+m+"L"+i+","+g+"L"+d+","+v+"Z":""))}))}e.exports={plot:function(t,e,r,a){var c=e.xaxis,u=e.yaxis;i.makeTraceGroups(a,r,"trace boxes").each((function(t){var e,r,i=n.select(this),a=t[0],h=a.t,f=a.trace;(h.wdPos=h.bdPos*f.whiskerwidth,!0!==f.visible||h.empty)?i.remove():("h"===f.orientation?(e=u,r=c):(e=c,r=u),o(i,{pos:e,val:r},f,h),s(i,{x:c,y:u},f,h),l(i,{pos:e,val:r},f,h))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},{"../../components/drawing":637,"../../lib":750,d3:169}],927:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],c=a.c2p(l.x),u=o.c2p(l.y);e.contains([c,u],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},{}],928:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../components/drawing");e.exports={style:function(t,e,r){var o=r||n.select(t).selectAll("g.trace.boxes");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(e){var r=n.select(this),o=e[0].trace,s=o.line.width;function l(t,e,r,n){t.style("stroke-width",e+"px").call(i.stroke,r).call(i.fill,n)}var c=r.selectAll("path.box");if("candlestick"===o.type)c.each((function(t){if(!t.empty){var e=n.select(this),r=o[t.dir];l(e,r.line.width,r.line.color,r.fillcolor),e.style("opacity",o.selectedpoints&&!t.selected?.3:1)}}));else{l(c,s,o.line.color,o.fillcolor),r.selectAll("path.mean").style({"stroke-width":s,"stroke-dasharray":2*s+"px,"+s+"px"}).call(i.stroke,o.line.color);var u=r.selectAll("path.point");a.pointStyle(u,o,t)}}))},styleOnSelect:function(t,e,r){var n=e[0].trace,i=r.selectAll("path.point");n.selectedpoints?a.selectedPointStyle(i,n):a.pointStyle(i,n,t)}}},{"../../components/color":615,"../../components/drawing":637,d3:169}],929:[function(t,e,r){"use strict";var n=t("../../lib").extendFlat,i=t("../ohlc/attributes"),a=t("../box/attributes");function o(t){return{line:{color:n({},a.line.color,{dflt:t}),width:a.line.width,editType:"style"},fillcolor:a.fillcolor,editType:"style"}}e.exports={xperiod:i.xperiod,xperiod0:i.xperiod0,xperiodalignment:i.xperiodalignment,x:i.x,open:i.open,high:i.high,low:i.low,close:i.close,line:{width:n({},a.line.width,{}),editType:"style"},increasing:o(i.increasing.line.color.dflt),decreasing:o(i.decreasing.line.color.dflt),text:i.text,hovertext:i.hovertext,whiskerwidth:n({},a.whiskerwidth,{dflt:0}),hoverlabel:i.hoverlabel}},{"../../lib":750,"../box/attributes":917,"../ohlc/attributes":1104}],930:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/cartesian/align_period"),o=t("../ohlc/calc").calcCommon;function s(t,e,r,n){return{min:r,q1:Math.min(t,n),med:n,q3:Math.max(t,n),max:e}}e.exports=function(t,e){var r=t._fullLayout,l=i.getFromId(t,e.xaxis),c=i.getFromId(t,e.yaxis),u=l.makeCalcdata(e,"x"),h=a(e,l,"x",u),f=o(t,e,u,h,c,s);return f.length?(n.extendFlat(f[0].t,{num:r._numBoxes,dPos:n.distinctVals(h).minDiff/2,posLetter:"x",valLetter:"y"}),r._numBoxes++,f):[{t:{empty:!0}}]}},{"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"../ohlc/calc":1105}],931:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../ohlc/ohlc_defaults"),o=t("../scatter/period_defaults"),s=t("./attributes");function l(t,e,r,n){var a=r(n+".line.color");r(n+".line.width",e.line.width),r(n+".fillcolor",i.addOpacity(a,.5))}e.exports=function(t,e,r,i){function c(r,i){return n.coerce(t,e,s,r,i)}a(t,e,c,i)?(o(t,e,i,c,{x:!0}),c("line.width"),l(t,e,c,"increasing"),l(t,e,c,"decreasing"),c("text"),c("hovertext"),c("whiskerwidth"),i._requestRangeslider[e.xaxis]=!0):e.visible=!1}},{"../../components/color":615,"../../lib":750,"../ohlc/ohlc_defaults":1109,"../scatter/period_defaults":1178,"./attributes":929}],932:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"candlestick",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","showLegend","candlestick","boxLayout"],meta:{},attributes:t("./attributes"),layoutAttributes:t("../box/layout_attributes"),supplyLayoutDefaults:t("../box/layout_defaults").supplyLayoutDefaults,crossTraceCalc:t("../box/cross_trace_calc").crossTraceCalc,supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("../box/plot").plot,layerName:"boxlayer",style:t("../box/style").style,hoverPoints:t("../ohlc/hover").hoverPoints,selectPoints:t("../ohlc/select")}},{"../../plots/cartesian":812,"../box/cross_trace_calc":919,"../box/layout_attributes":924,"../box/layout_defaults":925,"../box/plot":926,"../box/style":928,"../ohlc/hover":1107,"../ohlc/select":1111,"./attributes":929,"./calc":930,"./defaults":931}],933:[function(t,e,r){"use strict";var n=t("./axis_defaults"),i=t("../../plot_api/plot_template");e.exports=function(t,e,r,a,o){a("a")||(a("da"),a("a0")),a("b")||(a("db"),a("b0")),function(t,e,r,a){["aaxis","baxis"].forEach((function(o){var s=o.charAt(0),l=t[o]||{},c=i.newContainer(e,o),u={tickfont:"x",id:s+"axis",letter:s,font:e.font,name:o,data:t[s],calendar:e.calendar,dfltColor:a,bgColor:r.paper_bgcolor,fullLayout:r};n(l,c,u),c._categories=c._categories||[],t[o]||"-"===l.type||(t[o]={type:l.type})}))}(t,e,r,o)}},{"../../plot_api/plot_template":788,"./axis_defaults":938}],934:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t){return function t(e,r){if(!n(e)||r>=10)return null;for(var i=1/0,a=-1/0,o=e.length,s=0;s<o;s++){var l=e[s];if(n(l)){var c=t(l,r+1);c&&(i=Math.min(c[0],i),a=Math.max(c[1],a))}else i=Math.min(l,i),a=Math.max(l,a)}return[i,a]}(t,0)}},{"../../lib":750}],935:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("./axis_attributes"),a=t("../../components/color/attributes"),o=n({editType:"calc"});o.family.dflt='"Open Sans", verdana, arial, sans-serif',o.size.dflt=12,o.color.dflt=a.defaultLine,e.exports={carpet:{valType:"string",editType:"calc"},x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},a:{valType:"data_array",editType:"calc"},a0:{valType:"number",dflt:0,editType:"calc"},da:{valType:"number",dflt:1,editType:"calc"},b:{valType:"data_array",editType:"calc"},b0:{valType:"number",dflt:0,editType:"calc"},db:{valType:"number",dflt:1,editType:"calc"},cheaterslope:{valType:"number",dflt:1,editType:"calc"},aaxis:i,baxis:i,font:o,color:{valType:"color",dflt:a.defaultLine,editType:"plot"},transforms:void 0}},{"../../components/color/attributes":614,"../../plots/font_attributes":827,"./axis_attributes":937}],936:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,i){var a,o,s,l,c,u,h,f,p,d,g,m,v,y=n(r)?"a":"b",x=("a"===y?t.aaxis:t.baxis).smoothing,b="a"===y?t.a2i:t.b2j,_="a"===y?r:i,w="a"===y?i:r,T="a"===y?e.a.length:e.b.length,k="a"===y?e.b.length:e.a.length,M=Math.floor("a"===y?t.b2j(w):t.a2i(w)),A="a"===y?function(e){return t.evalxy([],e,M)}:function(e){return t.evalxy([],M,e)};x&&(s=Math.max(0,Math.min(k-2,M)),l=M-s,o="a"===y?function(e,r){return t.dxydi([],e,s,r,l)}:function(e,r){return t.dxydj([],s,e,l,r)});var S=b(_[0]),E=b(_[1]),C=S<E?1:-1,L=1e-8*(E-S),P=C>0?Math.floor:Math.ceil,I=C>0?Math.ceil:Math.floor,z=C>0?Math.min:Math.max,O=C>0?Math.max:Math.min,D=P(S+L),R=I(E-L),F=[[h=A(S)]];for(a=D;a*C<R*C;a+=C)c=[],g=O(S,a),v=(m=z(E,a+C))-g,u=Math.max(0,Math.min(T-2,Math.floor(.5*(g+m)))),f=A(m),x&&(p=o(u,g-u),d=o(u,m-u),c.push([h[0]+p[0]/3*v,h[1]+p[1]/3*v]),c.push([f[0]-d[0]/3*v,f[1]-d[1]/3*v])),c.push(f),F.push(c),h=f;return F}},{"../../lib":750}],937:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../components/color/attributes"),a=t("../../plots/cartesian/layout_attributes"),o=t("../../plot_api/edit_types").overrideAll;t("../../constants/docs").FORMAT_LINK,t("../../constants/docs").TIME_FORMAT_LINK;e.exports={color:{valType:"color",editType:"calc"},smoothing:{valType:"number",dflt:1,min:0,max:1.3,editType:"calc"},title:{text:{valType:"string",dflt:"",editType:"calc"},font:n({editType:"calc"}),offset:{valType:"number",dflt:10,editType:"calc"},editType:"calc"},type:{valType:"enumerated",values:["-","linear","date","category"],dflt:"-",editType:"calc"},autorange:{valType:"enumerated",values:[!0,!1,"reversed"],dflt:!0,editType:"calc"},rangemode:{valType:"enumerated",values:["normal","tozero","nonnegative"],dflt:"normal",editType:"calc"},range:{valType:"info_array",editType:"calc",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}]},fixedrange:{valType:"boolean",dflt:!1,editType:"calc"},cheatertype:{valType:"enumerated",values:["index","value"],dflt:"value",editType:"calc"},tickmode:{valType:"enumerated",values:["linear","array"],dflt:"array",editType:"calc"},nticks:{valType:"integer",min:0,dflt:0,editType:"calc"},tickvals:{valType:"data_array",editType:"calc"},ticktext:{valType:"data_array",editType:"calc"},showticklabels:{valType:"enumerated",values:["start","end","both","none"],dflt:"start",editType:"calc"},tickfont:n({editType:"calc"}),tickangle:{valType:"angle",dflt:"auto",editType:"calc"},tickprefix:{valType:"string",dflt:"",editType:"calc"},showtickprefix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},ticksuffix:{valType:"string",dflt:"",editType:"calc"},showticksuffix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},showexponent:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},exponentformat:{valType:"enumerated",values:["none","e","E","power","SI","B"],dflt:"B",editType:"calc"},minexponent:{valType:"number",dflt:3,min:0,editType:"calc"},separatethousands:{valType:"boolean",dflt:!1,editType:"calc"},tickformat:{valType:"string",dflt:"",editType:"calc"},tickformatstops:o(a.tickformatstops,"calc","from-root"),categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array"],dflt:"trace",editType:"calc"},categoryarray:{valType:"data_array",editType:"calc"},labelpadding:{valType:"integer",dflt:10,editType:"calc"},labelprefix:{valType:"string",editType:"calc"},labelsuffix:{valType:"string",dflt:"",editType:"calc"},showline:{valType:"boolean",dflt:!1,editType:"calc"},linecolor:{valType:"color",dflt:i.defaultLine,editType:"calc"},linewidth:{valType:"number",min:0,dflt:1,editType:"calc"},gridcolor:{valType:"color",editType:"calc"},gridwidth:{valType:"number",min:0,dflt:1,editType:"calc"},showgrid:{valType:"boolean",dflt:!0,editType:"calc"},minorgridcount:{valType:"integer",min:0,dflt:0,editType:"calc"},minorgridwidth:{valType:"number",min:0,dflt:1,editType:"calc"},minorgridcolor:{valType:"color",dflt:i.lightLine,editType:"calc"},startline:{valType:"boolean",editType:"calc"},startlinecolor:{valType:"color",editType:"calc"},startlinewidth:{valType:"number",dflt:1,editType:"calc"},endline:{valType:"boolean",editType:"calc"},endlinewidth:{valType:"number",dflt:1,editType:"calc"},endlinecolor:{valType:"color",editType:"calc"},tick0:{valType:"number",min:0,dflt:0,editType:"calc"},dtick:{valType:"number",min:0,dflt:1,editType:"calc"},arraytick0:{valType:"integer",min:0,dflt:0,editType:"calc"},arraydtick:{valType:"integer",min:1,dflt:1,editType:"calc"},_deprecated:{title:{valType:"string",editType:"calc"},titlefont:n({editType:"calc"}),titleoffset:{valType:"number",dflt:10,editType:"calc"}},editType:"calc"}},{"../../components/color/attributes":614,"../../constants/docs":720,"../../plot_api/edit_types":781,"../../plots/cartesian/layout_attributes":813,"../../plots/font_attributes":827}],938:[function(t,e,r){"use strict";var n=t("./attributes"),i=t("../../components/color").addOpacity,a=t("../../registry"),o=t("../../lib"),s=t("../../plots/cartesian/tick_value_defaults"),l=t("../../plots/cartesian/tick_label_defaults"),c=t("../../plots/cartesian/category_order_defaults"),u=t("../../plots/cartesian/set_convert"),h=t("../../plots/cartesian/axis_autotype");e.exports=function(t,e,r){var f=r.letter,p=r.font||{},d=n[f+"axis"];function g(r,n){return o.coerce(t,e,d,r,n)}function m(r,n){return o.coerce2(t,e,d,r,n)}r.name&&(e._name=r.name,e._id=r.name);var v=g("type");("-"===v&&(r.data&&function(t,e){if("-"!==t.type)return;var r=t._id.charAt(0),n=t[r+"calendar"];t.type=h(e,n)}(e,r.data),"-"===e.type?e.type="linear":v=t.type=e.type),g("smoothing"),g("cheatertype"),g("showticklabels"),g("labelprefix",f+" = "),g("labelsuffix"),g("showtickprefix"),g("showticksuffix"),g("separatethousands"),g("tickformat"),g("exponentformat"),g("minexponent"),g("showexponent"),g("categoryorder"),g("tickmode"),g("tickvals"),g("ticktext"),g("tick0"),g("dtick"),"array"===e.tickmode&&(g("arraytick0"),g("arraydtick")),g("labelpadding"),e._hovertitle=f,"date"===v)&&a.getComponentMethod("calendars","handleDefaults")(t,e,"calendar",r.calendar);u(e,r.fullLayout),e.c2p=o.identity;var y=g("color",r.dfltColor),x=y===t.color?y:p.color;g("title.text")&&(o.coerceFont(g,"title.font",{family:p.family,size:Math.round(1.2*p.size),color:x}),g("title.offset")),g("tickangle"),g("autorange",!e.isValidRange(t.range))&&g("rangemode"),g("range"),e.cleanRange(),g("fixedrange"),s(t,e,g,v),l(t,e,g,v,r),c(t,e,g,{data:r.data,dataAttr:f});var b=m("gridcolor",i(y,.3)),_=m("gridwidth"),w=g("showgrid");w||(delete e.gridcolor,delete e.gridwidth);var T=m("startlinecolor",y),k=m("startlinewidth",_);g("startline",e.showgrid||!!T||!!k)||(delete e.startlinecolor,delete e.startlinewidth);var M=m("endlinecolor",y),A=m("endlinewidth",_);return g("endline",e.showgrid||!!M||!!A)||(delete e.endlinecolor,delete e.endlinewidth),w?(g("minorgridcount"),g("minorgridwidth",_),g("minorgridcolor",i(b,.06)),e.minorgridcount||(delete e.minorgridwidth,delete e.minorgridcolor)):(delete e.gridcolor,delete e.gridWidth),"none"===e.showticklabels&&(delete e.tickfont,delete e.tickangle,delete e.showexponent,delete e.exponentformat,delete e.minexponent,delete e.tickformat,delete e.showticksuffix,delete e.showtickprefix),e.showticksuffix||delete e.ticksuffix,e.showtickprefix||delete e.tickprefix,g("tickmode"),e}},{"../../components/color":615,"../../lib":750,"../../plots/cartesian/axis_autotype":800,"../../plots/cartesian/category_order_defaults":803,"../../plots/cartesian/set_convert":819,"../../plots/cartesian/tick_label_defaults":820,"../../plots/cartesian/tick_value_defaults":822,"../../registry":882,"./attributes":935}],939:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib").isArray1D,a=t("./cheater_basis"),o=t("./array_minmax"),s=t("./calc_gridlines"),l=t("./calc_labels"),c=t("./calc_clippath"),u=t("../heatmap/clean_2d_array"),h=t("./smooth_fill_2d_array"),f=t("../heatmap/convert_column_xyz"),p=t("./set_convert");e.exports=function(t,e){var r=n.getFromId(t,e.xaxis),d=n.getFromId(t,e.yaxis),g=e.aaxis,m=e.baxis,v=e.x,y=e.y,x=[];v&&i(v)&&x.push("x"),y&&i(y)&&x.push("y"),x.length&&f(e,g,m,"a","b",x);var b=e._a=e._a||e.a,_=e._b=e._b||e.b;v=e._x||e.x,y=e._y||e.y;var w={};if(e._cheater){var T="index"===g.cheatertype?b.length:b,k="index"===m.cheatertype?_.length:_;v=a(T,k,e.cheaterslope)}e._x=v=u(v),e._y=y=u(y),h(v,b,_),h(y,b,_),p(e),e.setScale();var M=o(v),A=o(y),S=.5*(M[1]-M[0]),E=.5*(M[1]+M[0]),C=.5*(A[1]-A[0]),L=.5*(A[1]+A[0]);return M=[E-1.3*S,E+1.3*S],A=[L-1.3*C,L+1.3*C],e._extremes[r._id]=n.findExtremes(r,M,{padded:!0}),e._extremes[d._id]=n.findExtremes(d,A,{padded:!0}),s(e,"a","b"),s(e,"b","a"),l(e,g),l(e,m),w.clipsegments=c(e._xctrl,e._yctrl,g,m),w.x=v,w.y=y,w.a=b,w.b=_,[w]}},{"../../lib":750,"../../plots/cartesian/axes":799,"../heatmap/clean_2d_array":1038,"../heatmap/convert_column_xyz":1040,"./array_minmax":934,"./calc_clippath":940,"./calc_gridlines":941,"./calc_labels":942,"./cheater_basis":944,"./set_convert":957,"./smooth_fill_2d_array":958}],940:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a,o,s=[],l=!!r.smoothing,c=!!n.smoothing,u=t[0].length-1,h=t.length-1;for(i=0,a=[],o=[];i<=u;i++)a[i]=t[0][i],o[i]=e[0][i];for(s.push({x:a,y:o,bicubic:l}),i=0,a=[],o=[];i<=h;i++)a[i]=t[i][u],o[i]=e[i][u];for(s.push({x:a,y:o,bicubic:c}),i=u,a=[],o=[];i>=0;i--)a[u-i]=t[h][i],o[u-i]=e[h][i];for(s.push({x:a,y:o,bicubic:l}),i=h,a=[],o=[];i>=0;i--)a[h-i]=t[i][0],o[h-i]=e[i][0];return s.push({x:a,y:o,bicubic:c}),s}},{}],941:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib/extend").extendFlat;e.exports=function(t,e,r){var a,o,s,l,c,u,h,f,p,d,g,m,v,y,x=t["_"+e],b=t[e+"axis"],_=b._gridlines=[],w=b._minorgridlines=[],T=b._boundarylines=[],k=t["_"+r],M=t[r+"axis"];"array"===b.tickmode&&(b.tickvals=x.slice());var A=t._xctrl,S=t._yctrl,E=A[0].length,C=A.length,L=t._a.length,P=t._b.length;n.prepTicks(b),"array"===b.tickmode&&delete b.tickvals;var I=b.smoothing?3:1;function z(n){var i,a,o,s,l,c,u,h,p,d,g,m,v=[],y=[],x={};if("b"===e)for(a=t.b2j(n),o=Math.floor(Math.max(0,Math.min(P-2,a))),s=a-o,x.length=P,x.crossLength=L,x.xy=function(e){return t.evalxy([],e,a)},x.dxy=function(e,r){return t.dxydi([],e,o,r,s)},i=0;i<L;i++)c=Math.min(L-2,i),u=i-c,h=t.evalxy([],i,a),M.smoothing&&i>0&&(p=t.dxydi([],i-1,o,0,s),v.push(l[0]+p[0]/3),y.push(l[1]+p[1]/3),d=t.dxydi([],i-1,o,1,s),v.push(h[0]-d[0]/3),y.push(h[1]-d[1]/3)),v.push(h[0]),y.push(h[1]),l=h;else for(i=t.a2i(n),c=Math.floor(Math.max(0,Math.min(L-2,i))),u=i-c,x.length=L,x.crossLength=P,x.xy=function(e){return t.evalxy([],i,e)},x.dxy=function(e,r){return t.dxydj([],c,e,u,r)},a=0;a<P;a++)o=Math.min(P-2,a),s=a-o,h=t.evalxy([],i,a),M.smoothing&&a>0&&(g=t.dxydj([],c,a-1,u,0),v.push(l[0]+g[0]/3),y.push(l[1]+g[1]/3),m=t.dxydj([],c,a-1,u,1),v.push(h[0]-m[0]/3),y.push(h[1]-m[1]/3)),v.push(h[0]),y.push(h[1]),l=h;return x.axisLetter=e,x.axis=b,x.crossAxis=M,x.value=n,x.constvar=r,x.index=f,x.x=v,x.y=y,x.smoothing=M.smoothing,x}function O(n){var i,a,o,s,l,c=[],u=[],h={};if(h.length=x.length,h.crossLength=k.length,"b"===e)for(o=Math.max(0,Math.min(P-2,n)),l=Math.min(1,Math.max(0,n-o)),h.xy=function(e){return t.evalxy([],e,n)},h.dxy=function(e,r){return t.dxydi([],e,o,r,l)},i=0;i<E;i++)c[i]=A[n*I][i],u[i]=S[n*I][i];else for(a=Math.max(0,Math.min(L-2,n)),s=Math.min(1,Math.max(0,n-a)),h.xy=function(e){return t.evalxy([],n,e)},h.dxy=function(e,r){return t.dxydj([],a,e,s,r)},i=0;i<C;i++)c[i]=A[i][n*I],u[i]=S[i][n*I];return h.axisLetter=e,h.axis=b,h.crossAxis=M,h.value=x[n],h.constvar=r,h.index=n,h.x=c,h.y=u,h.smoothing=M.smoothing,h}if("array"===b.tickmode){for(l=5e-15,u=(c=[Math.floor((x.length-1-b.arraytick0)/b.arraydtick*(1+l)),Math.ceil(-b.arraytick0/b.arraydtick/(1+l))].sort((function(t,e){return t-e})))[0]-1,h=c[1]+1,f=u;f<h;f++)(o=b.arraytick0+b.arraydtick*f)<0||o>x.length-1||_.push(i(O(o),{color:b.gridcolor,width:b.gridwidth}));for(f=u;f<h;f++)if(s=b.arraytick0+b.arraydtick*f,g=Math.min(s+b.arraydtick,x.length-1),!(s<0||s>x.length-1||g<0||g>x.length-1))for(m=x[s],v=x[g],a=0;a<b.minorgridcount;a++)(y=g-s)<=0||(d=m+(v-m)*(a+1)/(b.minorgridcount+1)*(b.arraydtick/y))<x[0]||d>x[x.length-1]||w.push(i(z(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(O(0),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(O(x.length-1),{color:b.endlinecolor,width:b.endlinewidth}))}else{for(l=5e-15,u=(c=[Math.floor((x[x.length-1]-b.tick0)/b.dtick*(1+l)),Math.ceil((x[0]-b.tick0)/b.dtick/(1+l))].sort((function(t,e){return t-e})))[0],h=c[1],f=u;f<=h;f++)p=b.tick0+b.dtick*f,_.push(i(z(p),{color:b.gridcolor,width:b.gridwidth}));for(f=u-1;f<h+1;f++)for(p=b.tick0+b.dtick*f,a=0;a<b.minorgridcount;a++)(d=p+b.dtick*(a+1)/(b.minorgridcount+1))<x[0]||d>x[x.length-1]||w.push(i(z(d),{color:b.minorgridcolor,width:b.minorgridwidth}));b.startline&&T.push(i(z(x[0]),{color:b.startlinecolor,width:b.startlinewidth})),b.endline&&T.push(i(z(x[x.length-1]),{color:b.endlinecolor,width:b.endlinewidth}))}}},{"../../lib/extend":740,"../../plots/cartesian/axes":799}],942:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib/extend").extendFlat;e.exports=function(t,e){var r,a,o,s=e._labels=[],l=e._gridlines;for(r=0;r<l.length;r++)o=l[r],-1!==["start","both"].indexOf(e.showticklabels)&&(a=n.tickText(e,o.value),i(a,{prefix:void 0,suffix:void 0,endAnchor:!0,xy:o.xy(0),dxy:o.dxy(0,0),axis:o.axis,length:o.crossAxis.length,font:o.axis.tickfont,isFirst:0===r,isLast:r===l.length-1}),s.push(a)),-1!==["end","both"].indexOf(e.showticklabels)&&(a=n.tickText(e,o.value),i(a,{endAnchor:!1,xy:o.xy(o.crossLength-1),dxy:o.dxy(o.crossLength-2,1),axis:o.axis,length:o.crossAxis.length,font:o.axis.tickfont,isFirst:0===r,isLast:r===l.length-1}),s.push(a))}},{"../../lib/extend":740,"../../plots/cartesian/axes":799}],943:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i=t[0]-e[0],a=t[1]-e[1],o=r[0]-e[0],s=r[1]-e[1],l=Math.pow(i*i+a*a,.25),c=Math.pow(o*o+s*s,.25),u=(c*c*i-l*l*o)*n,h=(c*c*a-l*l*s)*n,f=c*(l+c)*3,p=l*(l+c)*3;return[[e[0]+(f&&u/f),e[1]+(f&&h/f)],[e[0]-(p&&u/p),e[1]-(p&&h/p)]]}},{}],944:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r){var i,a,o,s,l,c,u=[],h=n(t)?t.length:t,f=n(e)?e.length:e,p=n(t)?t:null,d=n(e)?e:null;p&&(o=(p.length-1)/(p[p.length-1]-p[0])/(h-1)),d&&(s=(d.length-1)/(d[d.length-1]-d[0])/(f-1));var g=1/0,m=-1/0;for(a=0;a<f;a++)for(u[a]=[],l=d?(d[a]-d[0])*s:a/(f-1),i=0;i<h;i++)c=(p?(p[i]-p[0])*o:i/(h-1))-l*r,g=Math.min(c,g),m=Math.max(c,m),u[a][i]=c;var v=1/(m-g),y=-g*v;for(a=0;a<f;a++)for(i=0;i<h;i++)u[a][i]=v*u[a][i]+y;return u}},{"../../lib":750}],945:[function(t,e,r){"use strict";var n=t("./catmull_rom"),i=t("../../lib").ensureArray;function a(t,e,r){var n=-.5*r[0]+1.5*e[0],i=-.5*r[1]+1.5*e[1];return[(2*n+t[0])/3,(2*i+t[1])/3]}e.exports=function(t,e,r,o,s,l){var c,u,h,f,p,d,g,m,v,y,x=r[0].length,b=r.length,_=s?3*x-2:x,w=l?3*b-2:b;for(t=i(t,w),e=i(e,w),h=0;h<w;h++)t[h]=i(t[h],_),e[h]=i(e[h],_);for(u=0,f=0;u<b;u++,f+=l?3:1)for(p=t[f],d=e[f],g=r[u],m=o[u],c=0,h=0;c<x;c++,h+=s?3:1)p[h]=g[c],d[h]=m[c];if(s)for(u=0,f=0;u<b;u++,f+=l?3:1){for(c=1,h=3;c<x-1;c++,h+=3)v=n([r[u][c-1],o[u][c-1]],[r[u][c],o[u][c]],[r[u][c+1],o[u][c+1]],s),t[f][h-1]=v[0][0],e[f][h-1]=v[0][1],t[f][h+1]=v[1][0],e[f][h+1]=v[1][1];y=a([t[f][0],e[f][0]],[t[f][2],e[f][2]],[t[f][3],e[f][3]]),t[f][1]=y[0],e[f][1]=y[1],y=a([t[f][_-1],e[f][_-1]],[t[f][_-3],e[f][_-3]],[t[f][_-4],e[f][_-4]]),t[f][_-2]=y[0],e[f][_-2]=y[1]}if(l)for(h=0;h<_;h++){for(f=3;f<w-3;f+=3)v=n([t[f-3][h],e[f-3][h]],[t[f][h],e[f][h]],[t[f+3][h],e[f+3][h]],l),t[f-1][h]=v[0][0],e[f-1][h]=v[0][1],t[f+1][h]=v[1][0],e[f+1][h]=v[1][1];y=a([t[0][h],e[0][h]],[t[2][h],e[2][h]],[t[3][h],e[3][h]]),t[1][h]=y[0],e[1][h]=y[1],y=a([t[w-1][h],e[w-1][h]],[t[w-3][h],e[w-3][h]],[t[w-4][h],e[w-4][h]]),t[w-2][h]=y[0],e[w-2][h]=y[1]}if(s&&l)for(f=1;f<w;f+=(f+1)%3==0?2:1){for(h=3;h<_-3;h+=3)v=n([t[f][h-3],e[f][h-3]],[t[f][h],e[f][h]],[t[f][h+3],e[f][h+3]],s),t[f][h-1]=.5*(t[f][h-1]+v[0][0]),e[f][h-1]=.5*(e[f][h-1]+v[0][1]),t[f][h+1]=.5*(t[f][h+1]+v[1][0]),e[f][h+1]=.5*(e[f][h+1]+v[1][1]);y=a([t[f][0],e[f][0]],[t[f][2],e[f][2]],[t[f][3],e[f][3]]),t[f][1]=.5*(t[f][1]+y[0]),e[f][1]=.5*(e[f][1]+y[1]),y=a([t[f][_-1],e[f][_-1]],[t[f][_-3],e[f][_-3]],[t[f][_-4],e[f][_-4]]),t[f][_-2]=.5*(t[f][_-2]+y[0]),e[f][_-2]=.5*(e[f][_-2]+y[1])}return[t,e]}},{"../../lib":750,"./catmull_rom":943}],946:[function(t,e,r){"use strict";e.exports={RELATIVE_CULL_TOLERANCE:1e-6}},{}],947:[function(t,e,r){"use strict";e.exports=function(t,e,r){return e&&r?function(e,r,n,i,a){var o,s,l,c,u,h;e||(e=[]),r*=3,n*=3;var f=i*i,p=1-i,d=p*p,g=p*i*2,m=-3*d,v=3*(d-g),y=3*(g-f),x=3*f,b=a*a,_=b*a,w=1-a,T=w*w,k=T*w;for(h=0;h<t.length;h++)o=m*(u=t[h])[n][r]+v*u[n][r+1]+y*u[n][r+2]+x*u[n][r+3],s=m*u[n+1][r]+v*u[n+1][r+1]+y*u[n+1][r+2]+x*u[n+1][r+3],l=m*u[n+2][r]+v*u[n+2][r+1]+y*u[n+2][r+2]+x*u[n+2][r+3],c=m*u[n+3][r]+v*u[n+3][r+1]+y*u[n+3][r+2]+x*u[n+3][r+3],e[h]=k*o+3*(T*a*s+w*b*l)+_*c;return e}:e?function(e,r,n,i,a){var o,s,l,c;e||(e=[]),r*=3;var u=i*i,h=1-i,f=h*h,p=h*i*2,d=-3*f,g=3*(f-p),m=3*(p-u),v=3*u,y=1-a;for(l=0;l<t.length;l++)o=d*(c=t[l])[n][r]+g*c[n][r+1]+m*c[n][r+2]+v*c[n][r+3],s=d*c[n+1][r]+g*c[n+1][r+1]+m*c[n+1][r+2]+v*c[n+1][r+3],e[l]=y*o+a*s;return e}:r?function(e,r,n,i,a){var o,s,l,c,u,h;e||(e=[]),n*=3;var f=a*a,p=f*a,d=1-a,g=d*d,m=g*d;for(u=0;u<t.length;u++)o=(h=t[u])[n][r+1]-h[n][r],s=h[n+1][r+1]-h[n+1][r],l=h[n+2][r+1]-h[n+2][r],c=h[n+3][r+1]-h[n+3][r],e[u]=m*o+3*(g*a*s+d*f*l)+p*c;return e}:function(e,r,n,i,a){var o,s,l,c;e||(e=[]);var u=1-a;for(l=0;l<t.length;l++)o=(c=t[l])[n][r+1]-c[n][r],s=c[n+1][r+1]-c[n+1][r],e[l]=u*o+a*s;return e}}},{}],948:[function(t,e,r){"use strict";e.exports=function(t,e,r){return e&&r?function(e,r,n,i,a){var o,s,l,c,u,h;e||(e=[]),r*=3,n*=3;var f=i*i,p=f*i,d=1-i,g=d*d,m=g*d,v=a*a,y=1-a,x=y*y,b=y*a*2,_=-3*x,w=3*(x-b),T=3*(b-v),k=3*v;for(h=0;h<t.length;h++)o=_*(u=t[h])[n][r]+w*u[n+1][r]+T*u[n+2][r]+k*u[n+3][r],s=_*u[n][r+1]+w*u[n+1][r+1]+T*u[n+2][r+1]+k*u[n+3][r+1],l=_*u[n][r+2]+w*u[n+1][r+2]+T*u[n+2][r+2]+k*u[n+3][r+2],c=_*u[n][r+3]+w*u[n+1][r+3]+T*u[n+2][r+3]+k*u[n+3][r+3],e[h]=m*o+3*(g*i*s+d*f*l)+p*c;return e}:e?function(e,r,n,i,a){var o,s,l,c,u,h;e||(e=[]),r*=3;var f=a*a,p=f*a,d=1-a,g=d*d,m=g*d;for(u=0;u<t.length;u++)o=(h=t[u])[n+1][r]-h[n][r],s=h[n+1][r+1]-h[n][r+1],l=h[n+1][r+2]-h[n][r+2],c=h[n+1][r+3]-h[n][r+3],e[u]=m*o+3*(g*a*s+d*f*l)+p*c;return e}:r?function(e,r,n,i,a){var o,s,l,c;e||(e=[]),n*=3;var u=1-i,h=a*a,f=1-a,p=f*f,d=f*a*2,g=-3*p,m=3*(p-d),v=3*(d-h),y=3*h;for(l=0;l<t.length;l++)o=g*(c=t[l])[n][r]+m*c[n+1][r]+v*c[n+2][r]+y*c[n+3][r],s=g*c[n][r+1]+m*c[n+1][r+1]+v*c[n+2][r+1]+y*c[n+3][r+1],e[l]=u*o+i*s;return e}:function(e,r,n,i,a){var o,s,l,c;e||(e=[]);var u=1-i;for(l=0;l<t.length;l++)o=(c=t[l])[n+1][r]-c[n][r],s=c[n+1][r+1]-c[n][r+1],e[l]=u*o+i*s;return e}}},{}],949:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=e-2,o=r-2;return n&&i?function(e,r,n){var i,s,l,c,u,h;e||(e=[]);var f=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-f)),g=Math.max(0,Math.min(1,n-p));f*=3,p*=3;var m=d*d,v=m*d,y=1-d,x=y*y,b=x*y,_=g*g,w=_*g,T=1-g,k=T*T,M=k*T;for(h=0;h<t.length;h++)i=b*(u=t[h])[p][f]+3*(x*d*u[p][f+1]+y*m*u[p][f+2])+v*u[p][f+3],s=b*u[p+1][f]+3*(x*d*u[p+1][f+1]+y*m*u[p+1][f+2])+v*u[p+1][f+3],l=b*u[p+2][f]+3*(x*d*u[p+2][f+1]+y*m*u[p+2][f+2])+v*u[p+2][f+3],c=b*u[p+3][f]+3*(x*d*u[p+3][f+1]+y*m*u[p+3][f+2])+v*u[p+3][f+3],e[h]=M*i+3*(k*g*s+T*_*l)+w*c;return e}:n?function(e,r,n){e||(e=[]);var i,s,l,c,u,h,f=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-f)),g=Math.max(0,Math.min(1,n-p));f*=3;var m=d*d,v=m*d,y=1-d,x=y*y,b=x*y,_=1-g;for(u=0;u<t.length;u++)i=_*(h=t[u])[p][f]+g*h[p+1][f],s=_*h[p][f+1]+g*h[p+1][f+1],l=_*h[p][f+2]+g*h[p+1][f+1],c=_*h[p][f+3]+g*h[p+1][f+1],e[u]=b*i+3*(x*d*s+y*m*l)+v*c;return e}:i?function(e,r,n){e||(e=[]);var i,s,l,c,u,h,f=Math.max(0,Math.min(Math.floor(r),a)),p=Math.max(0,Math.min(Math.floor(n),o)),d=Math.max(0,Math.min(1,r-f)),g=Math.max(0,Math.min(1,n-p));p*=3;var m=g*g,v=m*g,y=1-g,x=y*y,b=x*y,_=1-d;for(u=0;u<t.length;u++)i=_*(h=t[u])[p][f]+d*h[p][f+1],s=_*h[p+1][f]+d*h[p+1][f+1],l=_*h[p+2][f]+d*h[p+2][f+1],c=_*h[p+3][f]+d*h[p+3][f+1],e[u]=b*i+3*(x*g*s+y*m*l)+v*c;return e}:function(e,r,n){e||(e=[]);var i,s,l,c,u=Math.max(0,Math.min(Math.floor(r),a)),h=Math.max(0,Math.min(Math.floor(n),o)),f=Math.max(0,Math.min(1,r-u)),p=Math.max(0,Math.min(1,n-h)),d=1-p,g=1-f;for(l=0;l<t.length;l++)i=g*(c=t[l])[h][u]+f*c[h][u+1],s=g*c[h+1][u]+f*c[h+1][u+1],e[l]=d*i+p*s;return e}}},{}],950:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./xy_defaults"),a=t("./ab_defaults"),o=t("./attributes"),s=t("../../components/color/attributes");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,o,r,i)}e._clipPathId="clip"+e.uid+"carpet";var u=c("color",s.defaultLine);(n.coerceFont(c,"font"),c("carpet"),a(t,e,l,c,u),e.a&&e.b)?(e.a.length<3&&(e.aaxis.smoothing=0),e.b.length<3&&(e.baxis.smoothing=0),i(t,e,c)||(e.visible=!1),e._cheater&&c("cheaterslope")):e.visible=!1}},{"../../components/color/attributes":614,"../../lib":750,"./ab_defaults":933,"./attributes":935,"./xy_defaults":959}],951:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),plot:t("./plot"),calc:t("./calc"),animatable:!0,isContainer:!0,moduleType:"trace",name:"carpet",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","carpet","carpetAxis","notLegendIsolatable","noMultiCategory","noHover","noSortingByValue"],meta:{}}},{"../../plots/cartesian":812,"./attributes":935,"./calc":939,"./defaults":950,"./plot":956}],952:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r,n=t._fullData.length,i=0;i<n;i++){var a=t._fullData[i];if(a.index!==e.index&&("carpet"===a.type&&(r||(r=a),a.carpet===e.carpet)))return a}return r}},{}],953:[function(t,e,r){"use strict";e.exports=function(t,e,r){if(0===t.length)return"";var n,i=[],a=r?3:1;for(n=0;n<t.length;n+=a)i.push(t[n]+","+e[n]),r&&n<t.length-a&&(i.push("C"),i.push([t[n+1]+","+e[n+1],t[n+2]+","+e[n+2]+" "].join(" ")));return i.join(r?"":"L")}},{}],954:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r){var i;for(n(t)?t.length>e.length&&(t=t.slice(0,e.length)):t=[],i=0;i<e.length;i++)t[i]=r(e[i]);return t}},{"../../lib":750}],955:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i,a){var o=i[0]*t.dpdx(e),s=i[1]*t.dpdy(r),l=1,c=1;if(a){var u=Math.sqrt(i[0]*i[0]+i[1]*i[1]),h=Math.sqrt(a[0]*a[0]+a[1]*a[1]),f=(i[0]*a[0]+i[1]*a[1])/u/h;c=Math.max(0,f)}var p=180*Math.atan2(s,o)/Math.PI;return p<-90?(p+=180,l=-l):p>90&&(p-=180,l=-l),{angle:p,flip:l,p:t.c2p(n,e,r),offsetMultplier:c}}},{}],956:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("./map_1d_array"),o=t("./makepath"),s=t("./orient_text"),l=t("../../lib/svg_text_utils"),c=t("../../lib"),u=t("../../constants/alignment");function h(t,e,r,i,s,l){var c="const-"+s+"-lines",u=r.selectAll("."+c).data(l);u.enter().append("path").classed(c,!0).style("vector-effect","non-scaling-stroke"),u.each((function(r){var i=r,s=i.x,l=i.y,c=a([],s,t.c2p),u=a([],l,e.c2p),h="M"+o(c,u,i.smoothing);n.select(this).attr("d",h).style("stroke-width",i.width).style("stroke",i.color).style("fill","none")})),u.exit().remove()}function f(t,e,r,a,o,c,u,h){var f=c.selectAll("text."+h).data(u);f.enter().append("text").classed(h,!0);var p=0,d={};return f.each((function(o,c){var u;if("auto"===o.axis.tickangle)u=s(a,e,r,o.xy,o.dxy);else{var h=(o.axis.tickangle+180)*Math.PI/180;u=s(a,e,r,o.xy,[Math.cos(h),Math.sin(h)])}c||(d={angle:u.angle,flip:u.flip});var f=(o.endAnchor?-1:1)*u.flip,g=n.select(this).attr({"text-anchor":f>0?"start":"end","data-notex":1}).call(i.font,o.font).text(o.text).call(l.convertToTspans,t),m=i.bBox(this);g.attr("transform","translate("+u.p[0]+","+u.p[1]+") rotate("+u.angle+")translate("+o.axis.labelpadding*f+","+.3*m.height+")"),p=Math.max(p,m.width+o.axis.labelpadding)})),f.exit().remove(),d.maxExtent=p,d}e.exports=function(t,e,r,i){var l=e.xaxis,u=e.yaxis,p=t._fullLayout._clips;c.makeTraceGroups(i,r,"trace").each((function(e){var r=n.select(this),i=e[0],d=i.trace,m=d.aaxis,v=d.baxis,y=c.ensureSingle(r,"g","minorlayer"),x=c.ensureSingle(r,"g","majorlayer"),b=c.ensureSingle(r,"g","boundarylayer"),_=c.ensureSingle(r,"g","labellayer");r.style("opacity",d.opacity),h(l,u,x,m,"a",m._gridlines),h(l,u,x,v,"b",v._gridlines),h(l,u,y,m,"a",m._minorgridlines),h(l,u,y,v,"b",v._minorgridlines),h(l,u,b,m,"a-boundary",m._boundarylines),h(l,u,b,v,"b-boundary",v._boundarylines);var w=f(t,l,u,d,i,_,m._labels,"a-label"),T=f(t,l,u,d,i,_,v._labels,"b-label");!function(t,e,r,n,i,a,o,l){var u,h,f,p,d=c.aggNums(Math.min,null,r.a),m=c.aggNums(Math.max,null,r.a),v=c.aggNums(Math.min,null,r.b),y=c.aggNums(Math.max,null,r.b);u=.5*(d+m),h=v,f=r.ab2xy(u,h,!0),p=r.dxyda_rough(u,h),void 0===o.angle&&c.extendFlat(o,s(r,i,a,f,r.dxydb_rough(u,h)));g(t,e,r,n,f,p,r.aaxis,i,a,o,"a-title"),u=d,h=.5*(v+y),f=r.ab2xy(u,h,!0),p=r.dxydb_rough(u,h),void 0===l.angle&&c.extendFlat(l,s(r,i,a,f,r.dxyda_rough(u,h)));g(t,e,r,n,f,p,r.baxis,i,a,l,"b-title")}(t,_,d,i,l,u,w,T),function(t,e,r,n,i){var s,l,u,h,f=r.select("#"+t._clipPathId);f.size()||(f=r.append("clipPath").classed("carpetclip",!0));var p=c.ensureSingle(f,"path","carpetboundary"),d=e.clipsegments,g=[];for(h=0;h<d.length;h++)s=d[h],l=a([],s.x,n.c2p),u=a([],s.y,i.c2p),g.push(o(l,u,s.bicubic));var m="M"+g.join("L")+"Z";f.attr("id",t._clipPathId),p.attr("d",m)}(d,i,p,l,u)}))};var p=u.LINE_SPACING,d=(1-u.MID_SHIFT)/p+1;function g(t,e,r,a,o,c,u,h,f,g,m){var v=[];u.title.text&&v.push(u.title.text);var y=e.selectAll("text."+m).data(v),x=g.maxExtent;y.enter().append("text").classed(m,!0),y.each((function(){var e=s(r,h,f,o,c);-1===["start","both"].indexOf(u.showticklabels)&&(x=0);var a=u.title.font.size;x+=a+u.title.offset;var m=(g.angle+(g.flip<0?180:0)-e.angle+450)%360,v=m>90&&m<270,y=n.select(this);y.text(u.title.text).call(l.convertToTspans,t),v&&(x=(-l.lineCount(y)+d)*p*a-x),y.attr("transform","translate("+e.p[0]+","+e.p[1]+") rotate("+e.angle+") translate(0,"+x+")").attr("text-anchor","middle").call(i.font,u.title.font)})),y.exit().remove()}},{"../../components/drawing":637,"../../constants/alignment":717,"../../lib":750,"../../lib/svg_text_utils":774,"./makepath":953,"./map_1d_array":954,"./orient_text":955,d3:169}],957:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib/search").findBin,a=t("./compute_control_points"),o=t("./create_spline_evaluator"),s=t("./create_i_derivative_evaluator"),l=t("./create_j_derivative_evaluator");e.exports=function(t){var e=t._a,r=t._b,c=e.length,u=r.length,h=t.aaxis,f=t.baxis,p=e[0],d=e[c-1],g=r[0],m=r[u-1],v=e[e.length-1]-e[0],y=r[r.length-1]-r[0],x=v*n.RELATIVE_CULL_TOLERANCE,b=y*n.RELATIVE_CULL_TOLERANCE;p-=x,d+=x,g-=b,m+=b,t.isVisible=function(t,e){return t>p&&t<d&&e>g&&e<m},t.isOccluded=function(t,e){return t<p||t>d||e<g||e>m},t.setScale=function(){var e=t._x,r=t._y,n=a(t._xctrl,t._yctrl,e,r,h.smoothing,f.smoothing);t._xctrl=n[0],t._yctrl=n[1],t.evalxy=o([t._xctrl,t._yctrl],c,u,h.smoothing,f.smoothing),t.dxydi=s([t._xctrl,t._yctrl],h.smoothing,f.smoothing),t.dxydj=l([t._xctrl,t._yctrl],h.smoothing,f.smoothing)},t.i2a=function(t){var r=Math.max(0,Math.floor(t[0]),c-2),n=t[0]-r;return(1-n)*e[r]+n*e[r+1]},t.j2b=function(t){var e=Math.max(0,Math.floor(t[1]),c-2),n=t[1]-e;return(1-n)*r[e]+n*r[e+1]},t.ij2ab=function(e){return[t.i2a(e[0]),t.j2b(e[1])]},t.a2i=function(t){var r=Math.max(0,Math.min(i(t,e),c-2)),n=e[r],a=e[r+1];return Math.max(0,Math.min(c-1,r+(t-n)/(a-n)))},t.b2j=function(t){var e=Math.max(0,Math.min(i(t,r),u-2)),n=r[e],a=r[e+1];return Math.max(0,Math.min(u-1,e+(t-n)/(a-n)))},t.ab2ij=function(e){return[t.a2i(e[0]),t.b2j(e[1])]},t.i2c=function(e,r){return t.evalxy([],e,r)},t.ab2xy=function(n,i,a){if(!a&&(n<e[0]||n>e[c-1]|i<r[0]||i>r[u-1]))return[!1,!1];var o=t.a2i(n),s=t.b2j(i),l=t.evalxy([],o,s);if(a){var h,f,p,d,g=0,m=0,v=[];n<e[0]?(h=0,f=0,g=(n-e[0])/(e[1]-e[0])):n>e[c-1]?(h=c-2,f=1,g=(n-e[c-1])/(e[c-1]-e[c-2])):f=o-(h=Math.max(0,Math.min(c-2,Math.floor(o)))),i<r[0]?(p=0,d=0,m=(i-r[0])/(r[1]-r[0])):i>r[u-1]?(p=u-2,d=1,m=(i-r[u-1])/(r[u-1]-r[u-2])):d=s-(p=Math.max(0,Math.min(u-2,Math.floor(s)))),g&&(t.dxydi(v,h,p,f,d),l[0]+=v[0]*g,l[1]+=v[1]*g),m&&(t.dxydj(v,h,p,f,d),l[0]+=v[0]*m,l[1]+=v[1]*m)}return l},t.c2p=function(t,e,r){return[e.c2p(t[0]),r.c2p(t[1])]},t.p2x=function(t,e,r){return[e.p2c(t[0]),r.p2c(t[1])]},t.dadi=function(t){var r=Math.max(0,Math.min(e.length-2,t));return e[r+1]-e[r]},t.dbdj=function(t){var e=Math.max(0,Math.min(r.length-2,t));return r[e+1]-r[e]},t.dxyda=function(e,r,n,i){var a=t.dxydi(null,e,r,n,i),o=t.dadi(e,n);return[a[0]/o,a[1]/o]},t.dxydb=function(e,r,n,i){var a=t.dxydj(null,e,r,n,i),o=t.dbdj(r,i);return[a[0]/o,a[1]/o]},t.dxyda_rough=function(e,r,n){var i=v*(n||.1),a=t.ab2xy(e+i,r,!0),o=t.ab2xy(e-i,r,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dxydb_rough=function(e,r,n){var i=y*(n||.1),a=t.ab2xy(e,r+i,!0),o=t.ab2xy(e,r-i,!0);return[.5*(a[0]-o[0])/i,.5*(a[1]-o[1])/i]},t.dpdx=function(t){return t._m},t.dpdy=function(t){return t._m}}},{"../../lib/search":769,"./compute_control_points":945,"./constants":946,"./create_i_derivative_evaluator":947,"./create_j_derivative_evaluator":948,"./create_spline_evaluator":949}],958:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r){var i,a,o,s=[],l=[],c=t[0].length,u=t.length;function h(e,r){var n,i=0,a=0;return e>0&&void 0!==(n=t[r][e-1])&&(a++,i+=n),e<c-1&&void 0!==(n=t[r][e+1])&&(a++,i+=n),r>0&&void 0!==(n=t[r-1][e])&&(a++,i+=n),r<u-1&&void 0!==(n=t[r+1][e])&&(a++,i+=n),i/Math.max(1,a)}var f,p,d,g,m,v,y,x,b,_,w,T=0;for(i=0;i<c;i++)for(a=0;a<u;a++)void 0===t[a][i]&&(s.push(i),l.push(a),t[a][i]=h(i,a)),T=Math.max(T,Math.abs(t[a][i]));if(!s.length)return t;var k=0,M=0,A=s.length;do{for(k=0,o=0;o<A;o++){i=s[o],a=l[o];var S,E,C,L,P,I,z=0,O=0;0===i?(C=e[P=Math.min(c-1,2)],L=e[1],S=t[a][P],O+=(E=t[a][1])+(E-S)*(e[0]-L)/(L-C),z++):i===c-1&&(C=e[P=Math.max(0,c-3)],L=e[c-2],S=t[a][P],O+=(E=t[a][c-2])+(E-S)*(e[c-1]-L)/(L-C),z++),(0===i||i===c-1)&&a>0&&a<u-1&&(f=r[a+1]-r[a],O+=((p=r[a]-r[a-1])*t[a+1][i]+f*t[a-1][i])/(p+f),z++),0===a?(C=r[I=Math.min(u-1,2)],L=r[1],S=t[I][i],O+=(E=t[1][i])+(E-S)*(r[0]-L)/(L-C),z++):a===u-1&&(C=r[I=Math.max(0,u-3)],L=r[u-2],S=t[I][i],O+=(E=t[u-2][i])+(E-S)*(r[u-1]-L)/(L-C),z++),(0===a||a===u-1)&&i>0&&i<c-1&&(f=e[i+1]-e[i],O+=((p=e[i]-e[i-1])*t[a][i+1]+f*t[a][i-1])/(p+f),z++),z?O/=z:(d=e[i+1]-e[i],g=e[i]-e[i-1],x=(m=r[a+1]-r[a])*(v=r[a]-r[a-1])*(m+v),O=((y=d*g*(d+g))*(v*t[a+1][i]+m*t[a-1][i])+x*(g*t[a][i+1]+d*t[a][i-1]))/(x*(g+d)+y*(v+m))),k+=(_=(b=O-t[a][i])/T)*_,w=z?0:.85,t[a][i]+=b*(1+w)}k=Math.sqrt(k)}while(M++<100&&k>1e-5);return n.log("Smoother converged to",k,"after",M,"iterations"),t}},{"../../lib":750}],959:[function(t,e,r){"use strict";var n=t("../../lib").isArray1D;e.exports=function(t,e,r){var i=r("x"),a=i&&i.length,o=r("y"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},{"../../lib":750}],960:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../scattergeo/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../plots/attributes"),s=t("../../components/color/attributes").defaultLine,l=t("../../lib/extend").extendFlat,c=i.marker.line;e.exports=l({locations:{valType:"data_array",editType:"calc"},locationmode:i.locationmode,z:{valType:"data_array",editType:"calc"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:"calc"},opacity:{valType:"number",arrayOk:!0,min:0,max:1,dflt:1,editType:"style"},editType:"calc"},selected:{marker:{opacity:i.selected.marker.opacity,editType:"plot"},editType:"plot"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:"plot"},editType:"plot"},hoverinfo:l({},o.hoverinfo,{editType:"calc",flags:["location","z","text","name"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/color/attributes":614,"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scattergeo/attributes":1200}],961:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../../components/colorscale/calc"),o=t("../scatter/arrays_to_calcdata"),s=t("../scatter/calc_selection");function l(t){return t&&"string"==typeof t}e.exports=function(t,e){var r,c=e._length,u=new Array(c);r=e.geojson?function(t){return l(t)||n(t)}:l;for(var h=0;h<c;h++){var f=u[h]={},p=e.locations[h],d=e.z[h];r(p)&&n(d)?(f.loc=p,f.z=d):(f.loc=null,f.z=i),f.index=h}return o(u,e),a(t,e,{vals:e.z,containerStr:"",cLetter:"z"}),s(u,e),u}},{"../../components/colorscale/calc":623,"../../constants/numerical":725,"../scatter/arrays_to_calcdata":1157,"../scatter/calc_selection":1160,"fast-isnumeric":241}],962:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("locations"),c=s("z");if(l&&l.length&&n.isArrayOrTypedArray(c)&&c.length){e._length=Math.min(l.length,c.length);var u,h=s("geojson");("string"==typeof h&&""!==h||n.isPlainObject(h))&&(u="geojson-id"),"geojson-id"===s("locationmode",u)&&s("featureidkey"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)}else e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"./attributes":960}],963:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){t.location=e.location,t.z=e.z;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t.ct=a.ct,t}},{}],964:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("./attributes"),a=t("../../lib").fillText;e.exports=function(t,e,r){var o,s,l,c,u=t.cd,h=u[0].trace,f=t.subplot;for(s=0;s<u.length;s++)if(c=!1,(o=u[s])._polygons){for(l=0;l<o._polygons.length;l++)o._polygons[l].contains([e,r])&&(c=!c),o._polygons[l].contains([e+360,r])&&(c=!c);if(c)break}if(c&&o)return t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),"hover").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(e.hovertemplate)return;var n=r.hi||e.hoverinfo,o=String(r.loc),s="all"===n?i.hoverinfo.flags:n.split("+"),l=-1!==s.indexOf("name"),c=-1!==s.indexOf("location"),u=-1!==s.indexOf("z"),h=-1!==s.indexOf("text"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o));u&&f.push(t.zLabel);h&&a(r,e,f);t.extraText=f.join("<br>")}(t,h,o,f.mockAxis),[t]}},{"../../lib":750,"../../plots/cartesian/axes":799,"./attributes":960}],965:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("./calc"),calcGeoJSON:t("./plot").calcGeoJSON,plot:t("./plot").plot,style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"choropleth",basePlotModule:t("../../plots/geo"),categories:["geo","noOpacity","showLegend"],meta:{}}},{"../../plots/geo":831,"../heatmap/colorbar":1039,"./attributes":960,"./calc":961,"./defaults":962,"./event_data":963,"./hover":964,"./plot":966,"./select":967,"./style":968}],966:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../lib/geo_location_utils"),o=t("../../lib/topojson_utils").getTopojsonFeatures,s=t("../../plots/cartesian/autorange").findExtremes,l=t("./style").style;e.exports={calcGeoJSON:function(t,e){for(var r=t[0].trace,n=e[r.geo],i=n._subplot,l=r.locationmode,c=r._length,u="geojson-id"===l?a.extractTraceFeature(t):o(r,i.topojson),h=[],f=[],p=0;p<c;p++){var d=t[p],g="geojson-id"===l?d.fOut:a.locationToFeature(l,d.loc,u);if(g){d.geojson=g,d.ct=g.properties.ct,d._polygons=a.feature2polygons(g);var m=a.computeBbox(g);h.push(m[0],m[2]),f.push(m[1],m[3])}else d.geojson=null}if("geojson"===n.fitbounds&&"geojson-id"===l){var v=a.computeBbox(a.getTraceGeojson(r));h=[v[0],v[2]],f=[v[1],v[3]]}var y={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,y),r._extremes.lat=s(n.lataxis._ax,f,y)},plot:function(t,e,r){var a=e.layers.backplot.select(".choroplethlayer");i.makeTraceGroups(a,r,"trace choropleth").each((function(e){var r=n.select(this).selectAll("path.choroplethlocation").data(i.identity);r.enter().append("path").classed("choroplethlocation",!0),r.exit().remove(),l(t,e)}))}}},{"../../lib":750,"../../lib/geo_location_utils":743,"../../lib/topojson_utils":777,"../../plots/cartesian/autorange":798,"./style":968,d3:169}],967:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},{}],968:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../components/colorscale");function s(t,e){var r=e[0].trace,s=e[0].node3.selectAll(".choroplethlocation"),l=r.marker||{},c=l.line||{},u=o.makeColorScaleFuncFromTrace(r);s.each((function(t){n.select(this).attr("fill",u(t.z)).call(i.stroke,t.mlc||c.color).call(a.dashLine,"",t.mlw||c.width||0).style("opacity",l.opacity)})),a.selectedPointStyle(s,r,t)}e.exports={style:function(t,e){e&&s(t,e)},styleOnSelect:function(t,e){var r=e[0].node3,n=e[0].trace;n.selectedpoints?a.selectedPointStyle(r.selectAll(".choroplethlocation"),n,t):s(t,e)}}},{"../../components/color":615,"../../components/colorscale":627,"../../components/drawing":637,d3:169}],969:[function(t,e,r){"use strict";var n=t("../choropleth/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({locations:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},geojson:{valType:"any",editType:"calc"},featureidkey:s({},n.featureidkey,{}),below:{valType:"string",editType:"plot"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:"plot"}),width:s({},n.marker.line.width,{editType:"plot"}),editType:"calc"},opacity:s({},n.marker.opacity,{editType:"plot"}),editType:"calc"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:["properties"]}),showlegend:s({},o.showlegend,{dflt:!1})},i("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../choropleth/attributes":960}],970:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../components/colorscale"),o=t("../../components/drawing"),s=t("../../lib/geojson_utils").makeBlank,l=t("../../lib/geo_location_utils");function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:"identity",property:"mo2"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:"identity",property:"mo"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{"fill-opacity":e}),i.extendFlat(n.line.paint,{"line-opacity":e}),n}e.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:"none"},paint:{}},u={layout:{visibility:"none"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,g,m=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(g=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=m(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),g&&(w.mlw=g(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:"identity",property:"mo"}:v.opacity;return i.extendFlat(o.paint,{"fill-color":{type:"identity",property:"fc"},"fill-opacity":T}),i.extendFlat(u.paint,{"line-color":d?{type:"identity",property:"mlc"}:y.color,"line-width":g?{type:"identity",property:"mlw"}:y.width,"line-opacity":T}),o.layout.visibility="visible",u.layout.visibility="visible",h.geojson={type:"FeatureCollection",features:f},c(t),h},convertOnSelect:c}},{"../../components/colorscale":627,"../../components/drawing":637,"../../lib":750,"../../lib/geo_location_utils":743,"../../lib/geojson_utils":744,"fast-isnumeric":241}],971:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("locations"),c=s("z"),u=s("geojson");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&("string"==typeof u&&""!==u||n.isPlainObject(u))?(s("featureidkey"),e._length=Math.min(l.length,c.length),s("below"),s("text"),s("hovertext"),s("hovertemplate"),s("marker.line.width")&&s("marker.line.color"),s("marker.opacity"),i(t,e,o,s,{prefix:"",cLetter:"z"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"./attributes":969}],972:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../choropleth/calc"),plot:t("./plot"),hoverPoints:t("../choropleth/hover"),eventData:t("../choropleth/event_data"),selectPoints:t("../choropleth/select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if("string"==typeof i&&0===i.indexOf("water"))for(var a=n+1;a<r.length;a++)if("string"==typeof(i=r[a].id)&&-1===i.indexOf("plotly-"))return i}},moduleType:"trace",name:"choroplethmapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","noOpacity","showLegend"],meta:{hr_name:"choropleth_mapbox"}}},{"../../plots/mapbox":856,"../choropleth/calc":961,"../choropleth/event_data":963,"../choropleth/hover":964,"../choropleth/select":967,"../heatmap/colorbar":1039,"./attributes":969,"./defaults":971,"./plot":973}],973:[function(t,e,r){"use strict";var n=t("./convert").convert,i=t("./convert").convertOnSelect,a=t("../../plots/mapbox/constants").traceLayerPrefix;function o(t,e){this.type="choroplethmapbox",this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["fill",a+e+"-fill"],["line",a+e+"-line"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t))},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,"setLayoutProperty",l.layout),"visible"===l.layout.visibility&&e.setOptions(s,"setPaintProperty",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(a,{type:"geojson",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},{"../../plots/mapbox/constants":854,"./convert":970}],974:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},sizemode:{valType:"enumerated",values:["scaled","absolute"],editType:"calc",dflt:"scaled"},sizeref:{valType:"number",editType:"calc",min:0},anchor:{valType:"enumerated",editType:"calc",values:["tip","tail","cm","center"],dflt:"cm"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:i({editType:"calc"},{keys:["norm"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n("",{colorAttr:"u/v/w norm",showScaleDflt:!0,editTypeOverride:"calc"}));["opacity","lightposition","lighting"].forEach((function(t){l[t]=a[t]})),l.hoverinfo=s({},o.hoverinfo,{editType:"calc",flags:["x","y","z","u","v","w","norm","text","name"],dflt:"x+y+z+norm+text+name"}),l.transforms=void 0,e.exports=l},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../mesh3d/attributes":1099}],975:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){for(var r=e.u,i=e.v,a=e.w,o=Math.min(e.x.length,e.y.length,e.z.length,r.length,i.length,a.length),s=-1/0,l=1/0,c=0;c<o;c++){var u=r[c],h=i[c],f=a[c],p=Math.sqrt(u*u+h*h+f*f);s=Math.max(s,p),l=Math.min(l,p)}e._len=o,e._normMax=s,n(t,e,{vals:[l,s],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":623}],976:[function(t,e,r){"use strict";var n=t("gl-cone3d"),i=t("gl-cone3d").createConeMesh,a=t("../../lib").simpleMap,o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3");function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&&void 0!==l[e]?t.textLabel=l[e]:l&&(t.textLabel=l),!0}};var h={xaxis:0,yaxis:1,zaxis:2},f={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[h[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,"xaxis"),u(e.v,"yaxis"),u(e.w,"zaxis"),e._len),c.positions=l(u(e.x,"xaxis"),u(e.y,"yaxis"),u(e.z,"zaxis"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=f[e.anchor],"scaled"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var g=n(c),m=e.lightposition;return g.lightPosition=[m.x,m.y,m.z],g.ambient=e.lighting.ambient,g.diffuse=e.lighting.diffuse,g.specular=e.lighting.specular,g.roughness=e.lighting.roughness,g.fresnel=e.lighting.fresnel,g.opacity=e.opacity,e._pad=p[e.anchor]*g.vectorScale*g.coneScale*e._normMax,g}u.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../components/colorscale":627,"../../lib":750,"../../lib/gl_format_color":746,"../../plots/gl3d/zip3":852,"gl-cone3d":259}],977:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),h=s("x"),f=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length&&p&&p.length?(s("sizeref"),s("sizemode"),s("anchor"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"./attributes":974}],978:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"cone",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),eventData:function(t,e){return t.norm=e.traceCoordinate[6],t},meta:{}}},{"../../plots/gl3d":841,"./attributes":974,"./calc":975,"./convert":976,"./defaults":977}],979:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../scatter/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../components/drawing/attributes").dash,s=t("../../plots/font_attributes"),l=t("../../lib/extend").extendFlat,c=t("../../constants/filter_ops"),u=c.COMPARISON_OPS2,h=c.INTERVAL_OPS,f=(t("../../constants/docs").FORMAT_LINK,i.line);e.exports=l({z:n.z,x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,hovertext:n.hovertext,transpose:n.transpose,xtype:n.xtype,ytype:n.ytype,zhoverformat:n.zhoverformat,hovertemplate:n.hovertemplate,hoverongaps:n.hoverongaps,connectgaps:l({},n.connectgaps,{}),fillcolor:{valType:"color",editType:"calc"},autocontour:{valType:"boolean",dflt:!0,editType:"calc",impliedEdits:{"contours.start":void 0,"contours.end":void 0,"contours.size":void 0}},ncontours:{valType:"integer",dflt:15,min:1,editType:"calc"},contours:{type:{valType:"enumerated",values:["levels","constraint"],dflt:"levels",editType:"calc"},start:{valType:"number",dflt:null,editType:"plot",impliedEdits:{"^autocontour":!1}},end:{valType:"number",dflt:null,editType:"plot",impliedEdits:{"^autocontour":!1}},size:{valType:"number",dflt:null,min:0,editType:"plot",impliedEdits:{"^autocontour":!1}},coloring:{valType:"enumerated",values:["fill","heatmap","lines","none"],dflt:"fill",editType:"calc"},showlines:{valType:"boolean",dflt:!0,editType:"plot"},showlabels:{valType:"boolean",dflt:!1,editType:"plot"},labelfont:s({editType:"plot",colorEditType:"style"}),labelformat:{valType:"string",dflt:"",editType:"plot"},operation:{valType:"enumerated",values:[].concat(u).concat(h),dflt:"=",editType:"calc"},value:{valType:"any",dflt:0,editType:"calc"},editType:"calc",impliedEdits:{autocontour:!1}},line:{color:l({},f.color,{editType:"style+colorbars"}),width:{valType:"number",min:0,editType:"style+colorbars"},dash:o,smoothing:l({},f.smoothing,{}),editType:"plot"}},a("",{cLetter:"z",autoColorDflt:!1,editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":622,"../../components/drawing/attributes":636,"../../constants/docs":720,"../../constants/filter_ops":721,"../../lib/extend":740,"../../plots/font_attributes":827,"../heatmap/attributes":1036,"../scatter/attributes":1158}],980:[function(t,e,r){"use strict";var n=t("../../components/colorscale"),i=t("../heatmap/calc"),a=t("./set_contours"),o=t("./end_plus");e.exports=function(t,e){var r=i(t,e),s=r[0].z;a(e,s);var l,c=e.contours,u=n.extractOpts(e);if("heatmap"===c.coloring&&u.auto&&!1===e.autocontour){var h=c.start,f=o(c),p=c.size||1,d=Math.floor((f-h)/p)+1;isFinite(p)||(p=1,d=1);var g=h-p/2;l=[g,g+d*p]}else l=s;return n.calc(t,e,{vals:l,cLetter:"z"}),r}},{"../../components/colorscale":627,"../heatmap/calc":1037,"./end_plus":990,"./set_contours":998}],981:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n=t[0],i=n.z;switch(e.type){case"levels":var a=Math.min(i[0][0],i[0][1]);for(r=0;r<t.length;r++){var o=t[r];o.prefixBoundary=!o.edgepaths.length&&(a>o.level||o.starts.length&&a===o.level)}break;case"constraint":if(n.prefixBoundary=!1,n.edgepaths.length)return;var s=n.x.length,l=n.y.length,c=-1/0,u=1/0;for(r=0;r<l;r++)u=Math.min(u,i[r][0]),u=Math.min(u,i[r][s-1]),c=Math.max(c,i[r][0]),c=Math.max(c,i[r][s-1]);for(r=1;r<s-1;r++)u=Math.min(u,i[0][r]),u=Math.min(u,i[l-1][r]),c=Math.max(c,i[0][r]),c=Math.max(c,i[l-1][r]);var h,f,p=e.value;switch(e._operation){case">":p>c&&(n.prefixBoundary=!0);break;case"<":(p<u||n.starts.length&&p===u)&&(n.prefixBoundary=!0);break;case"[]":h=Math.min(p[0],p[1]),((f=Math.max(p[0],p[1]))<u||h>c||n.starts.length&&f===u)&&(n.prefixBoundary=!0);break;case"][":h=Math.min(p[0],p[1]),f=Math.max(p[0],p[1]),h<u&&f>c&&(n.prefixBoundary=!0)}}}},{}],982:[function(t,e,r){"use strict";var n=t("../../components/colorscale"),i=t("./make_color_map"),a=t("./end_plus");e.exports={min:"zmin",max:"zmax",calc:function(t,e,r){var o=e.contours,s=e.line,l=o.size||1,c=o.coloring,u=i(e,{isColorbar:!0});if("heatmap"===c){var h=n.extractOpts(e);r._fillgradient=h.reversescale?n.flipScale(h.colorscale):h.colorscale,r._zrange=[h.min,h.max]}else"fill"===c&&(r._fillcolor=u);r._line={color:"lines"===c?u:s.color,width:!1!==o.showlines?s.width:0,dash:s.dash},r._levels={start:o.start,end:a(o),size:l}}}},{"../../components/colorscale":627,"./end_plus":990,"./make_color_map":995}],983:[function(t,e,r){"use strict";e.exports={BOTTOMSTART:[1,9,13,104,713],TOPSTART:[4,6,7,104,713],LEFTSTART:[8,12,14,208,1114],RIGHTSTART:[2,3,11,208,1114],NEWDELTA:[null,[-1,0],[0,-1],[-1,0],[1,0],null,[0,-1],[-1,0],[0,1],[0,1],null,[0,1],[1,0],[1,0],[0,-1]],CHOOSESADDLE:{104:[4,1],208:[2,8],713:[7,13],1114:[11,14]},SADDLEREMAINDER:{1:4,2:8,4:1,7:13,8:2,11:14,13:7,14:11},LABELDISTANCE:2,LABELINCREASE:10,LABELMIN:3,LABELMAX:10,LABELOPTIMIZER:{EDGECOST:1,ANGLECOST:1,NEIGHBORCOST:5,SAMELEVELFACTOR:10,SAMELEVELDISTANCE:5,MAXCOST:100,INITIALSEARCHPOINTS:10,ITERATIONS:5}}},{}],984:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("./label_defaults"),a=t("../../components/color"),o=a.addOpacity,s=a.opacity,l=t("../../constants/filter_ops"),c=l.CONSTRAINT_REDUCTION,u=l.COMPARISON_OPS2;e.exports=function(t,e,r,a,l,h){var f,p,d,g=e.contours,m=r("contours.operation");(g._operation=c[m],function(t,e){var r;-1===u.indexOf(e.operation)?(t("contours.value",[0,1]),Array.isArray(e.value)?e.value.length>2?e.value=e.value.slice(2):0===e.length?e.value=[0,1]:e.length<2?(r=parseFloat(e.value[0]),e.value=[r,r+1]):e.value=[parseFloat(e.value[0]),parseFloat(e.value[1])]:n(e.value)&&(r=parseFloat(e.value),e.value=[r,r+1])):(t("contours.value",0),n(e.value)||(Array.isArray(e.value)?e.value=parseFloat(e.value[0]):e.value=0))}(r,g),"="===m?f=g.showlines=!0:(f=r("contours.showlines"),d=r("fillcolor",o((t.line||{}).color||l,.5))),f)&&(p=r("line.color",d&&s(d)?o(e.fillcolor,1):l),r("line.width",2),r("line.dash"));r("line.smoothing"),i(r,a,p,h)}},{"../../components/color":615,"../../constants/filter_ops":721,"./label_defaults":994,"fast-isnumeric":241}],985:[function(t,e,r){"use strict";var n=t("../../constants/filter_ops"),i=t("fast-isnumeric");function a(t,e){var r,a=Array.isArray(e);function o(t){return i(t)?+t:null}return-1!==n.COMPARISON_OPS2.indexOf(t)?r=o(a?e[0]:e):-1!==n.INTERVAL_OPS.indexOf(t)?r=a?[o(e[0]),o(e[1])]:[o(e),o(e)]:-1!==n.SET_OPS.indexOf(t)&&(r=a?e.map(o):[o(e)]),r}function o(t){return function(e){e=a(t,e);var r=Math.min(e[0],e[1]),n=Math.max(e[0],e[1]);return{start:r,end:n,size:n-r}}}function s(t){return function(e){return{start:e=a(t,e),end:1/0,size:1/0}}}e.exports={"[]":o("[]"),"][":o("]["),">":s(">"),"<":s("<"),"=":s("=")}},{"../../constants/filter_ops":721,"fast-isnumeric":241}],986:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i=n("contours.start"),a=n("contours.end"),o=!1===i||!1===a,s=r("contours.size");!(o?e.autocontour=!0:r("autocontour",!1))&&s||r("ncontours")}},{}],987:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return n.extendFlat({},t,{edgepaths:n.extendDeep([],t.edgepaths),paths:n.extendDeep([],t.paths),starts:n.extendDeep([],t.starts)})}e.exports=function(t,e){var r,a,o,s=function(t){return t.reverse()},l=function(t){return t};switch(e){case"=":case"<":return t;case">":for(1!==t.length&&n.warn("Contour data invalid for the specified inequality operation."),a=t[0],r=0;r<a.edgepaths.length;r++)a.edgepaths[r]=s(a.edgepaths[r]);for(r=0;r<a.paths.length;r++)a.paths[r]=s(a.paths[r]);for(r=0;r<a.starts.length;r++)a.starts[r]=s(a.starts[r]);return t;case"][":var c=s;s=l,l=c;case"[]":for(2!==t.length&&n.warn("Contour data invalid for the specified inequality range operation."),a=i(t[0]),o=i(t[1]),r=0;r<a.edgepaths.length;r++)a.edgepaths[r]=s(a.edgepaths[r]);for(r=0;r<a.paths.length;r++)a.paths[r]=s(a.paths[r]);for(r=0;r<a.starts.length;r++)a.starts[r]=s(a.starts[r]);for(;o.edgepaths.length;)a.edgepaths.push(l(o.edgepaths.shift()));for(;o.paths.length;)a.paths.push(l(o.paths.shift()));for(;o.starts.length;)a.starts.push(l(o.starts.shift()));return[a]}}},{"../../lib":750}],988:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("../scatter/period_defaults"),o=t("./constraint_defaults"),s=t("./contours_defaults"),l=t("./style_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,i){return n.coerce(t,e,c,r,i)}if(i(t,e,h,u)){a(t,e,u,h),h("text"),h("hovertext"),h("hovertemplate"),h("hoverongaps");var f="constraint"===h("contours.type");h("connectgaps",n.isArray1D(e.z)),f?o(t,e,h,u,r):(s(t,e,h,(function(r){return n.coerce2(t,e,c,r)})),l(t,e,h,u))}else e.visible=!1}},{"../../lib":750,"../heatmap/xyz_defaults":1050,"../scatter/period_defaults":1178,"./attributes":979,"./constraint_defaults":984,"./contours_defaults":986,"./style_defaults":1e3}],989:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constraint_mapping"),a=t("./end_plus");e.exports=function(t,e,r){for(var o="constraint"===t.type?i[t._operation](t.value):t,s=o.size,l=[],c=a(o),u=r.trace._carpetTrace,h=u?{xaxis:u.aaxis,yaxis:u.baxis,x:r.a,y:r.b}:{xaxis:e.xaxis,yaxis:e.yaxis,x:r.x,y:r.y},f=o.start;f<c;f+=s)if(l.push(n.extendFlat({level:f,crossings:{},starts:[],edgepaths:[],paths:[],z:r.z,smoothing:r.trace.line.smoothing},h)),l.length>1e3){n.warn("Too many contours, clipping at 1000",t);break}return l}},{"../../lib":750,"./constraint_mapping":985,"./end_plus":990}],990:[function(t,e,r){"use strict";e.exports=function(t){return t.end+t.size/1e6}},{}],991:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constants");function a(t,e,r,n){return Math.abs(t[0]-e[0])<r&&Math.abs(t[1]-e[1])<n}function o(t,e,r,o,l){var c,u=e.join(","),h=t.crossings[u],f=function(t,e,r){var n=0,a=0;t>20&&e?208===t||1114===t?n=0===r[0]?1:-1:a=0===r[1]?1:-1:-1!==i.BOTTOMSTART.indexOf(t)?a=1:-1!==i.LEFTSTART.indexOf(t)?n=1:-1!==i.TOPSTART.indexOf(t)?a=-1:n=-1;return[n,a]}(h,r,e),p=[s(t,e,[-f[0],-f[1]])],d=t.z.length,g=t.z[0].length,m=e.slice(),v=f.slice();for(c=0;c<1e4;c++){if(h>20?(h=i.CHOOSESADDLE[h][(f[0]||f[1])<0?0:1],t.crossings[u]=i.SADDLEREMAINDER[h]):delete t.crossings[u],!(f=i.NEWDELTA[h])){n.log("Found bad marching index:",h,e,t.level);break}p.push(s(t,e,f)),e[0]+=f[0],e[1]+=f[1],u=e.join(","),a(p[p.length-1],p[p.length-2],o,l)&&p.pop();var y=f[0]&&(e[0]<0||e[0]>g-2)||f[1]&&(e[1]<0||e[1]>d-2);if(e[0]===m[0]&&e[1]===m[1]&&f[0]===v[0]&&f[1]===v[1]||r&&y)break;h=t.crossings[u]}1e4===c&&n.log("Infinite loop in contour?");var x,b,_,w,T,k,M,A,S,E,C,L,P,I,z,O=a(p[0],p[p.length-1],o,l),D=0,R=.2*t.smoothing,F=[],B=0;for(c=1;c<p.length;c++)L=p[c],P=p[c-1],I=void 0,z=void 0,I=L[2]-P[2],z=L[3]-P[3],D+=M=Math.sqrt(I*I+z*z),F.push(M);var N=D/F.length*R;function j(t){return p[t%p.length]}for(c=p.length-2;c>=B;c--)if((x=F[c])<N){for(_=0,b=c-1;b>=B&&x+F[b]<N;b--)x+=F[b];if(O&&c===p.length-2)for(_=0;_<b&&x+F[_]<N;_++)x+=F[_];T=c-b+_+1,k=Math.floor((c+b+_+2)/2),w=O||c!==p.length-2?O||-1!==b?T%2?j(k):[(j(k)[0]+j(k+1)[0])/2,(j(k)[1]+j(k+1)[1])/2]:p[0]:p[p.length-1],p.splice(b+1,c-b+1,w),c=b+1,_&&(B=_),O&&(c===p.length-2?p[_]=p[p.length-1]:0===c&&(p[p.length-1]=p[0]))}for(p.splice(0,B),c=0;c<p.length;c++)p[c].length=2;if(!(p.length<2))if(O)p.pop(),t.paths.push(p);else{r||n.log("Unclosed interior contour?",t.level,m.join(","),p.join("L"));var U=!1;for(A=0;A<t.edgepaths.length;A++)if(E=t.edgepaths[A],!U&&a(E[0],p[p.length-1],o,l)){p.pop(),U=!0;var V=!1;for(S=0;S<t.edgepaths.length;S++)if(a((C=t.edgepaths[S])[C.length-1],p[0],o,l)){V=!0,p.shift(),t.edgepaths.splice(A,1),S===A?t.paths.push(p.concat(C)):(S>A&&S--,t.edgepaths[S]=C.concat(p,E));break}V||(t.edgepaths[A]=p.concat(E))}for(A=0;A<t.edgepaths.length&&!U;A++)a((E=t.edgepaths[A])[E.length-1],p[0],o,l)&&(p.shift(),t.edgepaths[A]=E.concat(p),U=!0);U||t.edgepaths.push(p)}}function s(t,e,r){var n=e[0]+Math.max(r[0],0),i=e[1]+Math.max(r[1],0),a=t.z[i][n],o=t.xaxis,s=t.yaxis;if(r[1]){var l=(t.level-a)/(t.z[i][n+1]-a);return[o.c2p((1-l)*t.x[n]+l*t.x[n+1],!0),s.c2p(t.y[i],!0),n+l,i]}var c=(t.level-a)/(t.z[i+1][n]-a);return[o.c2p(t.x[n],!0),s.c2p((1-c)*t.y[i]+c*t.y[i+1],!0),n,i+c]}e.exports=function(t,e,r){var i,a,s,l;for(e=e||.01,r=r||.01,a=0;a<t.length;a++){for(s=t[a],l=0;l<s.starts.length;l++)o(s,s.starts[l],"edge",e,r);for(i=0;Object.keys(s.crossings).length&&i<1e4;)i++,o(s,Object.keys(s.crossings)[0].split(",").map(Number),void 0,e,r);1e4===i&&n.log("Infinite loop in contour?")}}},{"../../lib":750,"./constants":983}],992:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../heatmap/hover");e.exports=function(t,e,r,a,o){var s=i(t,e,r,a,o,!0);return s&&s.forEach((function(t){var e=t.trace;"constraint"===e.contours.type&&(e.fillcolor&&n.opacity(e.fillcolor)?t.color=n.addOpacity(e.fillcolor,1):e.contours.showlines&&n.opacity(e.line.color)&&(t.color=n.addOpacity(e.line.color,1)))})),s}},{"../../components/color":615,"../heatmap/hover":1043}],993:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot").plot,style:t("./style"),colorbar:t("./colorbar"),hoverPoints:t("./hover"),moduleType:"trace",name:"contour",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","contour","showLegend"],meta:{}}},{"../../plots/cartesian":812,"./attributes":979,"./calc":980,"./colorbar":982,"./defaults":988,"./hover":992,"./plot":997,"./style":999}],994:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r,i){if(i||(i={}),t("contours.showlabels")){var a=e.font;n.coerceFont(t,"contours.labelfont",{family:a.family,size:a.size,color:r}),t("contours.labelformat")}!1!==i.hasHover&&t("zhoverformat")}},{"../../lib":750}],995:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/colorscale"),a=t("./end_plus");e.exports=function(t){var e=t.contours,r=e.start,o=a(e),s=e.size||1,l=Math.floor((o-r)/s)+1,c="lines"===e.coloring?0:1,u=i.extractOpts(t);isFinite(s)||(s=1,l=1);var h,f,p=u.reversescale?i.flipScale(u.colorscale):u.colorscale,d=p.length,g=new Array(d),m=new Array(d);if("heatmap"===e.coloring){var v=u.min,y=u.max;for(f=0;f<d;f++)h=p[f],g[f]=h[0]*(y-v)+v,m[f]=h[1];var x=n.extent([v,y,e.start,e.start+s*(l-1)]),b=x[v<y?0:1],_=x[v<y?1:0];b!==v&&(g.splice(0,0,b),m.splice(0,0,m[0])),_!==y&&(g.push(_),m.push(m[m.length-1]))}else for(f=0;f<d;f++)h=p[f],g[f]=(h[0]*(l+c-1)-c/2)*s+r,m[f]=h[1];return i.makeColorScaleFunc({domain:g,range:m},{noNumericCheck:!0})}},{"../../components/colorscale":627,"./end_plus":990,d3:169}],996:[function(t,e,r){"use strict";var n=t("./constants");function i(t,e){var r=(e[0][0]>t?0:1)+(e[0][1]>t?0:2)+(e[1][1]>t?0:4)+(e[1][0]>t?0:8);return 5===r||10===r?t>(e[0][0]+e[0][1]+e[1][0]+e[1][1])/4?5===r?713:1114:5===r?104:208:15===r?0:r}e.exports=function(t){var e,r,a,o,s,l,c,u,h,f=t[0].z,p=f.length,d=f[0].length,g=2===p||2===d;for(r=0;r<p-1;r++)for(o=[],0===r&&(o=o.concat(n.BOTTOMSTART)),r===p-2&&(o=o.concat(n.TOPSTART)),e=0;e<d-1;e++)for(a=o.slice(),0===e&&(a=a.concat(n.LEFTSTART)),e===d-2&&(a=a.concat(n.RIGHTSTART)),s=e+","+r,l=[[f[r][e],f[r][e+1]],[f[r+1][e],f[r+1][e+1]]],h=0;h<t.length;h++)(c=i((u=t[h]).level,l))&&(u.crossings[s]=c,-1!==a.indexOf(c)&&(u.starts.push([e,r]),g&&-1!==a.indexOf(c,a.indexOf(c)+1)&&u.starts.push([e,r])))}},{"./constants":983}],997:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../components/colorscale"),s=t("../../lib/svg_text_utils"),l=t("../../plots/cartesian/axes"),c=t("../../plots/cartesian/set_convert"),u=t("../heatmap/plot"),h=t("./make_crossings"),f=t("./find_all_paths"),p=t("./empty_pathinfo"),d=t("./convert_to_constraints"),g=t("./close_boundaries"),m=t("./constants"),v=m.LABELOPTIMIZER;function y(t,e){var r,n,o,s,l,c,u,h="",f=0,p=t.edgepaths.map((function(t,e){return e})),d=!0;function g(t){return Math.abs(t[1]-e[2][1])<.01}function m(t){return Math.abs(t[0]-e[0][0])<.01}function v(t){return Math.abs(t[0]-e[2][0])<.01}for(;p.length;){for(c=a.smoothopen(t.edgepaths[f],t.smoothing),h+=d?c:c.replace(/^M/,"L"),p.splice(p.indexOf(f),1),r=t.edgepaths[f][t.edgepaths[f].length-1],s=-1,o=0;o<4;o++){if(!r){i.log("Missing end?",f,t);break}for(u=r,Math.abs(u[1]-e[0][1])<.01&&!v(r)?n=e[1]:m(r)?n=e[0]:g(r)?n=e[3]:v(r)&&(n=e[2]),l=0;l<t.edgepaths.length;l++){var y=t.edgepaths[l][0];Math.abs(r[0]-n[0])<.01?Math.abs(r[0]-y[0])<.01&&(y[1]-r[1])*(n[1]-y[1])>=0&&(n=y,s=l):Math.abs(r[1]-n[1])<.01?Math.abs(r[1]-y[1])<.01&&(y[0]-r[0])*(n[0]-y[0])>=0&&(n=y,s=l):i.log("endpt to newendpt is not vert. or horz.",r,n,y)}if(r=n,s>=0)break;h+="L"+n}if(s===t.edgepaths.length){i.log("unclosed perimeter path");break}f=s,(d=-1===p.indexOf(f))&&(f=p[0],h+="Z")}for(f=0;f<t.paths.length;f++)h+=a.smoothclosed(t.paths[f],t.smoothing);return h}function x(t,e,r,n){var a=e.width/2,o=e.height/2,s=t.x,l=t.y,c=t.theta,u=Math.cos(c)*a,h=Math.sin(c)*a,f=(s>n.center?n.right-s:s-n.left)/(u+Math.abs(Math.sin(c)*o)),p=(l>n.middle?n.bottom-l:l-n.top)/(Math.abs(h)+Math.cos(c)*o);if(f<1||p<1)return 1/0;var d=v.EDGECOST*(1/(f-1)+1/(p-1));d+=v.ANGLECOST*c*c;for(var g=s-u,m=l-h,y=s+u,x=l+h,b=0;b<r.length;b++){var _=r[b],w=Math.cos(_.theta)*_.width/2,T=Math.sin(_.theta)*_.width/2,k=2*i.segmentDistance(g,m,y,x,_.x-w,_.y-T,_.x+w,_.y+T)/(e.height+_.height),M=_.level===e.level,A=M?v.SAMELEVELDISTANCE:1;if(k<=A)return 1/0;d+=v.NEIGHBORCOST*(M?v.SAMELEVELFACTOR:1)/(k-A)}return d}function b(t){var e,r,n=t.trace._emptypoints,i=[],a=t.z.length,o=t.z[0].length,s=[];for(e=0;e<o;e++)s.push(1);for(e=0;e<a;e++)i.push(s.slice());for(e=0;e<n.length;e++)i[(r=n[e])[0]][r[1]]=0;return t.zmask=i,i}r.plot=function(t,e,o,s){var l=e.xaxis,c=e.yaxis;i.makeTraceGroups(s,o,"contour").each((function(o){var s=n.select(this),v=o[0],x=v.trace,_=v.x,w=v.y,T=x.contours,k=p(T,e,v),M=i.ensureSingle(s,"g","heatmapcoloring"),A=[];"heatmap"===T.coloring&&(A=[o]),u(t,e,A,M),h(k),f(k);var S=l.c2p(_[0],!0),E=l.c2p(_[_.length-1],!0),C=c.c2p(w[0],!0),L=c.c2p(w[w.length-1],!0),P=[[S,L],[E,L],[E,C],[S,C]],I=k;"constraint"===T.type&&(I=d(k,T._operation)),function(t,e,r){var n=i.ensureSingle(t,"g","contourbg").selectAll("path").data("fill"===r.coloring?[0]:[]);n.enter().append("path"),n.exit().remove(),n.attr("d","M"+e.join("L")+"Z").style("stroke","none")}(s,P,T),function(t,e,r,a){var o="fill"===a.coloring||"constraint"===a.type&&"="!==a._operation,s="M"+r.join("L")+"Z";o&&g(e,a);var l=i.ensureSingle(t,"g","contourfill").selectAll("path").data(o?e:[]);l.enter().append("path"),l.exit().remove(),l.each((function(t){var e=(t.prefixBoundary?s:"")+y(t,r);e?n.select(this).attr("d",e).style("stroke","none"):n.select(this).remove()}))}(s,I,P,T),function(t,e,o,s,l){var c=i.ensureSingle(t,"g","contourlines"),u=!1!==l.showlines,h=l.showlabels,f=u&&h,p=r.createLines(c,u||h,e),d=r.createLineClip(c,f,o,s.trace.uid),g=t.selectAll("g.contourlabels").data(h?[0]:[]);if(g.exit().remove(),g.enter().append("g").classed("contourlabels",!0),h){var v=[],y=[];i.clearLocationCache();var x=r.labelFormatter(o,s),b=a.tester.append("text").attr("data-notex",1).call(a.font,l.labelfont),_=e[0].xaxis,w=e[0].yaxis,T=_._length,k=w._length,M=_.range,A=w.range,S=i.aggNums(Math.min,null,s.x),E=i.aggNums(Math.max,null,s.x),C=i.aggNums(Math.min,null,s.y),L=i.aggNums(Math.max,null,s.y),P=Math.max(_.c2p(S,!0),0),I=Math.min(_.c2p(E,!0),T),z=Math.max(w.c2p(L,!0),0),O=Math.min(w.c2p(C,!0),k),D={};M[0]<M[1]?(D.left=P,D.right=I):(D.left=I,D.right=P),A[0]<A[1]?(D.top=z,D.bottom=O):(D.top=O,D.bottom=z),D.middle=(D.top+D.bottom)/2,D.center=(D.left+D.right)/2,v.push([[D.left,D.top],[D.right,D.top],[D.right,D.bottom],[D.left,D.bottom]]);var R=Math.sqrt(T*T+k*k),F=m.LABELDISTANCE*R/Math.max(1,e.length/m.LABELINCREASE);p.each((function(t){var e=r.calcTextOpts(t.level,x,b,o);n.select(this).selectAll("path").each((function(){var t=i.getVisibleSegment(this,D,e.height/2);if(t&&!(t.len<(e.width+e.height)*m.LABELMIN))for(var n=Math.min(Math.ceil(t.len/F),m.LABELMAX),a=0;a<n;a++){var o=r.findBestTextLocation(this,t,e,y,D);if(!o)break;r.addLabelData(o,e,y,v)}}))})),b.remove(),r.drawLabels(g,y,o,d,f?v:null)}h&&!u&&p.remove()}(s,k,t,v,T),function(t,e,r,n,o){var s=n.trace,l=r._fullLayout._clips,c="clip"+s.uid,u=l.selectAll("#"+c).data(s.connectgaps?[]:[0]);if(u.enter().append("clipPath").classed("contourclip",!0).attr("id",c),u.exit().remove(),!1===s.connectgaps){var p={level:.9,crossings:{},starts:[],edgepaths:[],paths:[],xaxis:e.xaxis,yaxis:e.yaxis,x:n.x,y:n.y,z:b(n),smoothing:0};h([p]),f([p]),g([p],{type:"levels"}),i.ensureSingle(u,"path","").attr("d",(p.prefixBoundary?"M"+o.join("L")+"Z":"")+y(p,o))}else c=null;a.setClipUrl(t,c,r)}(s,e,t,v,P)}))},r.createLines=function(t,e,r){var n=r[0].smoothing,i=t.selectAll("g.contourlevel").data(e?r:[]);if(i.exit().remove(),i.enter().append("g").classed("contourlevel",!0),e){var o=i.selectAll("path.openline").data((function(t){return t.pedgepaths||t.edgepaths}));o.exit().remove(),o.enter().append("path").classed("openline",!0),o.attr("d",(function(t){return a.smoothopen(t,n)})).style("stroke-miterlimit",1).style("vector-effect","non-scaling-stroke");var s=i.selectAll("path.closedline").data((function(t){return t.ppaths||t.paths}));s.exit().remove(),s.enter().append("path").classed("closedline",!0),s.attr("d",(function(t){return a.smoothclosed(t,n)})).style("stroke-miterlimit",1).style("vector-effect","non-scaling-stroke")}return i},r.createLineClip=function(t,e,r,n){var i=e?"clipline"+n:null,o=r._fullLayout._clips.selectAll("#"+i).data(e?[0]:[]);return o.exit().remove(),o.enter().append("clipPath").classed("contourlineclip",!0).attr("id",i),a.setClipUrl(t,i,r),o},r.labelFormatter=function(t,e){var r=t._fullLayout,n=e.trace,i=n.contours,a={type:"linear",_id:"ycontour",showexponent:"all",exponentformat:"B"};if(i.labelformat)a.tickformat=i.labelformat,c(a,r);else{var s=o.extractOpts(n);if(s&&s.colorbar&&s.colorbar._axis)a=s.colorbar._axis;else{if("constraint"===i.type){var u=i.value;Array.isArray(u)?a.range=[u[0],u[u.length-1]]:a.range=[u,u]}else a.range=[i.start,i.end],a.nticks=(i.end-i.start)/i.size;a.range[0]===a.range[1]&&(a.range[1]+=a.range[0]||1),a.nticks||(a.nticks=1e3),c(a,r),l.prepTicks(a),a._tmin=null,a._tmax=null}}return function(t){return l.tickText(a,t).text}},r.calcTextOpts=function(t,e,r,n){var i=e(t);r.text(i).call(s.convertToTspans,n);var o=r.node(),l=a.bBox(o,!0);return{text:i,width:l.width,height:l.height,fontSize:+o.style["font-size"].replace("px",""),level:t,dy:(l.top+l.bottom)/2}},r.findBestTextLocation=function(t,e,r,n,a){var o,s,l,c,u,h=r.width;e.isClosed?(s=e.len/v.INITIALSEARCHPOINTS,o=e.min+s/2,l=e.max):(s=(e.len-h)/(v.INITIALSEARCHPOINTS+1),o=e.min+s+h/2,l=e.max-(s+h)/2);for(var f=1/0,p=0;p<v.ITERATIONS;p++){for(var d=o;d<l;d+=s){var g=i.getTextLocation(t,e.total,d,h),m=x(g,r,n,a);m<f&&(f=m,u=g,c=d)}if(f>2*v.MAXCOST)break;p&&(s/=2),l=(o=c-s/2)+1.5*s}if(f<=v.MAXCOST)return u},r.addLabelData=function(t,e,r,n){var i=e.fontSize,a=e.width+i/3,o=Math.max(0,e.height-i/3),s=t.x,l=t.y,c=t.theta,u=Math.sin(c),h=Math.cos(c),f=function(t,e){return[s+t*h-e*u,l+t*u+e*h]},p=[f(-a/2,-o/2),f(-a/2,o/2),f(a/2,o/2),f(a/2,-o/2)];r.push({text:e.text,x:s,y:l,dy:e.dy,theta:c,level:e.level,width:a,height:o}),n.push(p)},r.drawLabels=function(t,e,r,a,o){var l=t.selectAll("text").data(e,(function(t){return t.text+","+t.x+","+t.y+","+t.theta}));if(l.exit().remove(),l.enter().append("text").attr({"data-notex":1,"text-anchor":"middle"}).each((function(t){var e=t.x+Math.sin(t.theta)*t.dy,i=t.y-Math.cos(t.theta)*t.dy;n.select(this).text(t.text).attr({x:e,y:i,transform:"rotate("+180*t.theta/Math.PI+" "+e+" "+i+")"}).call(s.convertToTspans,r)})),o){for(var c="",u=0;u<o.length;u++)c+="M"+o[u].join("L")+"Z";i.ensureSingle(a,"path","").attr("d",c)}}},{"../../components/colorscale":627,"../../components/drawing":637,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/cartesian/axes":799,"../../plots/cartesian/set_convert":819,"../heatmap/plot":1047,"./close_boundaries":981,"./constants":983,"./convert_to_constraints":987,"./empty_pathinfo":989,"./find_all_paths":991,"./make_crossings":996,d3:169}],998:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib");function a(t,e,r){var i={type:"linear",range:[t,e]};return n.autoTicks(i,(e-t)/(r||15)),i}e.exports=function(t,e){var r=t.contours;if(t.autocontour){var o=t.zmin,s=t.zmax;(t.zauto||void 0===o)&&(o=i.aggNums(Math.min,null,e)),(t.zauto||void 0===s)&&(s=i.aggNums(Math.max,null,e));var l=a(o,s,t.ncontours);r.size=l.dtick,r.start=n.tickFirst(l),l.range.reverse(),r.end=n.tickFirst(l),r.start===o&&(r.start+=r.size),r.end===s&&(r.end-=r.size),r.start>r.end&&(r.start=r.end=(r.start+r.end)/2),t._input.contours||(t._input.contours={}),i.extendFlat(t._input.contours,{start:r.start,end:r.end,size:r.size}),t._input.autocontour=!0}else if("constraint"!==r.type){var c,u=r.start,h=r.end,f=t._input.contours;if(u>h&&(r.start=f.start=h,h=r.end=f.end=u,u=r.start),!(r.size>0))c=u===h?1:a(u,h,t.ncontours).dtick,f.size=r.size=c}}},{"../../lib":750,"../../plots/cartesian/axes":799}],999:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../heatmap/style"),o=t("./make_color_map");e.exports=function(t){var e=n.select(t).selectAll("g.contour");e.style("opacity",(function(t){return t[0].trace.opacity})),e.each((function(t){var e=n.select(this),r=t[0].trace,a=r.contours,s=r.line,l=a.size||1,c=a.start,u="constraint"===a.type,h=!u&&"lines"===a.coloring,f=!u&&"fill"===a.coloring,p=h||f?o(r):null;e.selectAll("g.contourlevel").each((function(t){n.select(this).selectAll("path").call(i.lineGroupStyle,s.width,h?p(t.level):s.color,s.dash)}));var d=a.labelfont;if(e.selectAll("g.contourlabels text").each((function(t){i.font(n.select(this),{family:d.family,size:d.size,color:d.color||(h?p(t.level):s.color)})})),u)e.selectAll("g.contourfill path").style("fill",r.fillcolor);else if(f){var g;e.selectAll("g.contourfill path").style("fill",(function(t){return void 0===g&&(g=t.level),p(t.level+.5*l)})),void 0===g&&(g=c),e.selectAll("g.contourbg path").style("fill",p(g-.5*l))}})),a(t)}},{"../../components/drawing":637,"../heatmap/style":1048,"./make_color_map":995,d3:169}],1e3:[function(t,e,r){"use strict";var n=t("../../components/colorscale/defaults"),i=t("./label_defaults");e.exports=function(t,e,r,a,o){var s,l=r("contours.coloring"),c="";"fill"===l&&(s=r("contours.showlines")),!1!==s&&("lines"!==l&&(c=r("line.color","#000")),r("line.width",.5),r("line.dash")),"none"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:"",cLetter:"z"})),r("line.smoothing"),i(r,a,c,o)}},{"../../components/colorscale/defaults":625,"./label_defaults":994}],1001:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../contour/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat,s=i.contours;e.exports=o({carpet:{valType:"string",editType:"calc"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:"enumerated",values:["fill","lines","none"],dflt:"fill",editType:"calc"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:"calc",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},transforms:void 0},a("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../contour/attributes":979,"../heatmap/attributes":1036}],1002:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../../lib"),a=t("../heatmap/convert_column_xyz"),o=t("../heatmap/clean_2d_array"),s=t("../heatmap/interp2d"),l=t("../heatmap/find_empties"),c=t("../heatmap/make_bound_array"),u=t("./defaults"),h=t("../carpet/lookup_carpetid"),f=t("../contour/set_contours");e.exports=function(t,e){var r=e._carpetTrace=h(t,e);if(r&&r.visible&&"legendonly"!==r.visible){if(!e.a||!e.b){var p=t.data[r.index],d=t.data[e.index];d.a||(d.a=p.a),d.b||(d.b=p.b),u(d,e,e._defaultColor,t._fullLayout)}var g=function(t,e){var r,u,h,f,p,d,g,m=e._carpetTrace,v=m.aaxis,y=m.baxis;v._minDtick=0,y._minDtick=0,i.isArray1D(e.z)&&a(e,v,y,"a","b",["z"]);r=e._a=e._a||e.a,f=e._b=e._b||e.b,r=r?v.makeCalcdata(e,"_a"):[],f=f?y.makeCalcdata(e,"_b"):[],u=e.a0||0,h=e.da||1,p=e.b0||0,d=e.db||1,g=e._z=o(e._z||e.z,e.transpose),e._emptypoints=l(g),s(g,e._emptypoints);var x=i.maxRowLength(g),b="scaled"===e.xtype?"":r,_=c(e,b,u,h,x,v),w="scaled"===e.ytype?"":f,T=c(e,w,p,d,g.length,y),k={a:_,b:T,z:g};"levels"===e.contours.type&&"none"!==e.contours.coloring&&n(t,e,{vals:g,containerStr:"",cLetter:"z"});return[k]}(t,e);return f(e,e._z),g}}},{"../../components/colorscale/calc":623,"../../lib":750,"../carpet/lookup_carpetid":952,"../contour/set_contours":998,"../heatmap/clean_2d_array":1038,"../heatmap/convert_column_xyz":1040,"../heatmap/find_empties":1042,"../heatmap/interp2d":1045,"../heatmap/make_bound_array":1046,"./defaults":1003}],1003:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("./attributes"),o=t("../contour/constraint_defaults"),s=t("../contour/contours_defaults"),l=t("../contour/style_defaults");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,a,r,i)}if(u("carpet"),t.a&&t.b){if(!i(t,e,u,c,"a","b"))return void(e.visible=!1);u("text"),"constraint"===u("contours.type")?o(t,e,u,c,r,{hasHover:!1}):(s(t,e,u,(function(r){return n.coerce2(t,e,a,r)})),l(t,e,u,c,{hasHover:!1}))}else e._defaultColor=r,e._length=null}},{"../../lib":750,"../contour/constraint_defaults":984,"../contour/contours_defaults":986,"../contour/style_defaults":1e3,"../heatmap/xyz_defaults":1050,"./attributes":1001}],1004:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../contour/colorbar"),calc:t("./calc"),plot:t("./plot"),style:t("../contour/style"),moduleType:"trace",name:"contourcarpet",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","carpet","contour","symbols","showLegend","hasLines","carpetDependent","noHover","noSortingByValue"],meta:{}}},{"../../plots/cartesian":812,"../contour/colorbar":982,"../contour/style":999,"./attributes":1001,"./calc":1002,"./defaults":1003,"./plot":1005}],1005:[function(t,e,r){"use strict";var n=t("d3"),i=t("../carpet/map_1d_array"),a=t("../carpet/makepath"),o=t("../../components/drawing"),s=t("../../lib"),l=t("../contour/make_crossings"),c=t("../contour/find_all_paths"),u=t("../contour/plot"),h=t("../contour/constants"),f=t("../contour/convert_to_constraints"),p=t("../contour/empty_pathinfo"),d=t("../contour/close_boundaries"),g=t("../carpet/lookup_carpetid"),m=t("../carpet/axis_aligned_line");function v(t,e,r){var n=t.getPointAtLength(e),i=t.getPointAtLength(r),a=i.x-n.x,o=i.y-n.y,s=Math.sqrt(a*a+o*o);return[a/s,o/s]}function y(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]}function x(t,e){var r=Math.abs(t[0]*e[0]+t[1]*e[1]);return Math.sqrt(1-r*r)/r}e.exports=function(t,e,r,b){var _=e.xaxis,w=e.yaxis;s.makeTraceGroups(b,r,"contour").each((function(r){var b=n.select(this),T=r[0],k=T.trace,M=k._carpetTrace=g(t,k),A=t.calcdata[M.index][0];if(M.visible&&"legendonly"!==M.visible){var S=T.a,E=T.b,C=k.contours,L=p(C,e,T),P="constraint"===C.type,I=C._operation,z=P?"="===I?"lines":"fill":C.coloring,O=[[S[0],E[E.length-1]],[S[S.length-1],E[E.length-1]],[S[S.length-1],E[0]],[S[0],E[0]]];l(L);var D=1e-8*(S[S.length-1]-S[0]),R=1e-8*(E[E.length-1]-E[0]);c(L,D,R);var F,B,N,j,U=L;"constraint"===C.type&&(U=f(L,I)),function(t,e){var r,n,i,a,o,s,l,c,u;for(r=0;r<t.length;r++){for(a=t[r],o=a.pedgepaths=[],s=a.ppaths=[],n=0;n<a.edgepaths.length;n++){for(u=a.edgepaths[n],l=[],i=0;i<u.length;i++)l[i]=e(u[i]);o.push(l)}for(n=0;n<a.paths.length;n++){for(u=a.paths[n],c=[],i=0;i<u.length;i++)c[i]=e(u[i]);s.push(c)}}}(L,H);var V=[];for(j=A.clipsegments.length-1;j>=0;j--)F=A.clipsegments[j],B=i([],F.x,_.c2p),N=i([],F.y,w.c2p),B.reverse(),N.reverse(),V.push(a(B,N,F.bicubic));var q="M"+V.join("L")+"Z";!function(t,e,r,n,o,l){var c,u,h,f,p=s.ensureSingle(t,"g","contourbg").selectAll("path").data("fill"!==l||o?[]:[0]);p.enter().append("path"),p.exit().remove();var d=[];for(f=0;f<e.length;f++)c=e[f],u=i([],c.x,r.c2p),h=i([],c.y,n.c2p),d.push(a(u,h,c.bicubic));p.attr("d","M"+d.join("L")+"Z").style("stroke","none")}(b,A.clipsegments,_,w,P,z),function(t,e,r,i,a,l,c,u,h,f,p){var g="fill"===f;g&&d(a,t.contours);var v=s.ensureSingle(e,"g","contourfill").selectAll("path").data(g?a:[]);v.enter().append("path"),v.exit().remove(),v.each((function(t){var e=(t.prefixBoundary?p:"")+function(t,e,r,n,i,a,l,c){var u,h,f,p,d,g,v,y="",x=e.edgepaths.map((function(t,e){return e})),b=!0,_=1e-4*Math.abs(r[0][0]-r[2][0]),w=1e-4*Math.abs(r[0][1]-r[2][1]);function T(t){return Math.abs(t[1]-r[0][1])<w}function k(t){return Math.abs(t[1]-r[2][1])<w}function M(t){return Math.abs(t[0]-r[0][0])<_}function A(t){return Math.abs(t[0]-r[2][0])<_}function S(t,e){var r,n,o,s,u="";for(T(t)&&!A(t)||k(t)&&!M(t)?(s=i.aaxis,o=m(i,a,[t[0],e[0]],.5*(t[1]+e[1]))):(s=i.baxis,o=m(i,a,.5*(t[0]+e[0]),[t[1],e[1]])),r=1;r<o.length;r++)for(u+=s.smoothing?"C":"L",n=0;n<o[r].length;n++){var h=o[r][n];u+=[l.c2p(h[0]),c.c2p(h[1])]+" "}return u}u=0,h=null;for(;x.length;){var E=e.edgepaths[u][0];for(h&&(y+=S(h,E)),v=o.smoothopen(e.edgepaths[u].map(n),e.smoothing),y+=b?v:v.replace(/^M/,"L"),x.splice(x.indexOf(u),1),h=e.edgepaths[u][e.edgepaths[u].length-1],d=-1,p=0;p<4;p++){if(!h){s.log("Missing end?",u,e);break}for(T(h)&&!A(h)?f=r[1]:M(h)?f=r[0]:k(h)?f=r[3]:A(h)&&(f=r[2]),g=0;g<e.edgepaths.length;g++){var C=e.edgepaths[g][0];Math.abs(h[0]-f[0])<_?Math.abs(h[0]-C[0])<_&&(C[1]-h[1])*(f[1]-C[1])>=0&&(f=C,d=g):Math.abs(h[1]-f[1])<w?Math.abs(h[1]-C[1])<w&&(C[0]-h[0])*(f[0]-C[0])>=0&&(f=C,d=g):s.log("endpt to newendpt is not vert. or horz.",h,f,C)}if(d>=0)break;y+=S(h,f),h=f}if(d===e.edgepaths.length){s.log("unclosed perimeter path");break}u=d,(b=-1===x.indexOf(u))&&(u=x[0],y+=S(h,f)+"Z",h=null)}for(u=0;u<e.paths.length;u++)y+=o.smoothclosed(e.paths[u].map(n),e.smoothing);return y}(0,t,l,c,u,h,r,i);e?n.select(this).attr("d",e).style("stroke","none"):n.select(this).remove()}))}(k,b,_,w,U,O,H,M,A,z,q),function(t,e,r,i,a,l,c){var f=s.ensureSingle(t,"g","contourlines"),p=!1!==a.showlines,d=a.showlabels,g=p&&d,m=u.createLines(f,p||d,e),b=u.createLineClip(f,g,r,i.trace.uid),_=t.selectAll("g.contourlabels").data(d?[0]:[]);if(_.exit().remove(),_.enter().append("g").classed("contourlabels",!0),d){var w=l.xaxis,T=l.yaxis,k=w._length,M=T._length,A=[[[0,0],[k,0],[k,M],[0,M]]],S=[];s.clearLocationCache();var E=u.labelFormatter(r,i),C=o.tester.append("text").attr("data-notex",1).call(o.font,a.labelfont),L={left:0,right:k,center:k/2,top:0,bottom:M,middle:M/2},P=Math.sqrt(k*k+M*M),I=h.LABELDISTANCE*P/Math.max(1,e.length/h.LABELINCREASE);m.each((function(t){var e=u.calcTextOpts(t.level,E,C,r);n.select(this).selectAll("path").each((function(r){var n=s.getVisibleSegment(this,L,e.height/2);if(n&&(function(t,e,r,n,i,a){for(var o,s=0;s<r.pedgepaths.length;s++)e===r.pedgepaths[s]&&(o=r.edgepaths[s]);if(!o)return;var l=i.a[0],c=i.a[i.a.length-1],u=i.b[0],h=i.b[i.b.length-1];function f(t,e){var r,n=0;return(Math.abs(t[0]-l)<.1||Math.abs(t[0]-c)<.1)&&(r=y(i.dxydb_rough(t[0],t[1],.1)),n=Math.max(n,a*x(e,r)/2)),(Math.abs(t[1]-u)<.1||Math.abs(t[1]-h)<.1)&&(r=y(i.dxyda_rough(t[0],t[1],.1)),n=Math.max(n,a*x(e,r)/2)),n}var p=v(t,0,1),d=v(t,n.total,n.total-1),g=f(o[0],p),m=n.total-f(o[o.length-1],d);n.min<g&&(n.min=g);n.max>m&&(n.max=m);n.len=n.max-n.min}(this,r,t,n,c,e.height),!(n.len<(e.width+e.height)*h.LABELMIN)))for(var i=Math.min(Math.ceil(n.len/I),h.LABELMAX),a=0;a<i;a++){var o=u.findBestTextLocation(this,n,e,S,L);if(!o)break;u.addLabelData(o,e,S,A)}}))})),C.remove(),u.drawLabels(_,S,r,b,g?A:null)}d&&!p&&m.remove()}(b,L,t,T,C,e,M),o.setClipUrl(b,M._clipPathId,t)}function H(t){var e=M.ab2xy(t[0],t[1],!0);return[_.c2p(e[0]),w.c2p(e[1])]}}))}},{"../../components/drawing":637,"../../lib":750,"../carpet/axis_aligned_line":936,"../carpet/lookup_carpetid":952,"../carpet/makepath":953,"../carpet/map_1d_array":954,"../contour/close_boundaries":981,"../contour/constants":983,"../contour/convert_to_constraints":987,"../contour/empty_pathinfo":989,"../contour/find_all_paths":991,"../contour/make_crossings":996,"../contour/plot":997,d3:169}],1006:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/attributes"),o=t("../scattermapbox/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:"data_array",editType:"calc"},radius:{valType:"number",editType:"plot",arrayOk:!0,min:1,dflt:30},below:{valType:"string",editType:"plot"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:["lon","lat","z","text","name"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scattermapbox/attributes":1223}],1007:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib").isArrayOrTypedArray,a=t("../../constants/numerical").BADNUM,o=t("../../components/colorscale/calc"),s=t("../../lib")._;e.exports=function(t,e){for(var r=e._length,l=new Array(r),c=e.z,u=i(c)&&c.length,h=0;h<r;h++){var f=l[h]={},p=e.lon[h],d=e.lat[h];if(f.lonlat=n(p)&&n(d)?[+p,+d]:[a,a],u){var g=c[h];f.z=n(g)?g:a}}return o(t,e,{vals:u?c:[0,1],containerStr:"",cLetter:"z"}),r&&(l[0].t={labels:{lat:s(t,"lat:")+" ",lon:s(t,"lon:")+" "}}),l}},{"../../components/colorscale/calc":623,"../../constants/numerical":725,"../../lib":750,"fast-isnumeric":241}],1008:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../components/color"),o=t("../../components/colorscale"),s=t("../../constants/numerical").BADNUM,l=t("../../lib/geojson_utils").makeBlank;e.exports=function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:"none"},paint:{}},geojson:l()};if(!r)return c;var u,h=[],f=e.z,p=e.radius,d=i.isArrayOrTypedArray(f)&&f.length,g=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var m=t[u],v=m.lonlat;if(v[0]!==s){var y={};if(d){var x=m.z;y.z=x!==s?x:0}g&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),h.push({type:"Feature",geometry:{type:"Point",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=["interpolate",["linear"],["heatmap-density"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=["interpolate",["linear"],["get","z"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{"heatmap-weight":d?k:1/(b.max-b.min),"heatmap-color":T,"heatmap-radius":g?{type:"identity",property:"r"}:e.radius,"heatmap-opacity":e.opacity}),c.geojson={type:"FeatureCollection",features:h},c.heatmap.layout.visibility="visible",c}},{"../../components/color":615,"../../components/colorscale":627,"../../constants/numerical":725,"../../lib":750,"../../lib/geojson_utils":744,"fast-isnumeric":241}],1009:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("lon")||[],c=s("lat")||[],u=Math.min(l.length,c.length);u?(e._length=u,s("z"),s("radius"),s("below"),s("text"),s("hovertext"),s("hovertemplate"),i(t,e,o,s,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"./attributes":1006}],1010:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},{}],1011:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../scattermapbox/hover");e.exports=function(t,e,r){var o=a(t,e,r);if(o){var s=o[0],l=s.cd,c=l[0].trace,u=l[s.index];if(delete s.color,"z"in u){var h=s.subplot.mockAxis;s.z=u.z,s.zLabel=i.tickText(h,h.c2l(u.z),"hover").text}return s.extraText=function(t,e,r){if(t.hovertemplate)return;var i=(e.hi||t.hoverinfo).split("+"),a=-1!==i.indexOf("all"),o=-1!==i.indexOf("lon"),s=-1!==i.indexOf("lat"),l=e.lonlat,c=[];function u(t){return t+"\xb0"}a||o&&s?c.push("("+u(l[0])+", "+u(l[1])+")"):o?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(a||-1!==i.indexOf("text"))&&n.fillText(e,t,c);return c.join("<br>")}(c,u,l[0].t.labels),[s]}}},{"../../lib":750,"../../plots/cartesian/axes":799,"../scattermapbox/hover":1228}],1012:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),formatLabels:t("../scattermapbox/format_labels"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover"),eventData:t("./event_data"),getBelow:function(t,e){for(var r=e.getMapLayers(),n=0;n<r.length;n++){var i=r[n],a=i.id;if("symbol"===i.type&&"string"==typeof a&&-1===a.indexOf("plotly-"))return a}},moduleType:"trace",name:"densitymapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","showLegend"],meta:{hr_name:"density_mapbox"}}},{"../../plots/mapbox":856,"../heatmap/colorbar":1039,"../scattermapbox/format_labels":1227,"./attributes":1006,"./calc":1007,"./defaults":1009,"./event_data":1010,"./hover":1011,"./plot":1013}],1013:[function(t,e,r){"use strict";var n=t("./convert"),i=t("../../plots/mapbox/constants").traceLayerPrefix;function a(t,e){this.type="densitymapbox",this.subplot=t,this.uid=e,this.sourceId="source-"+e,this.layerList=[["heatmap",i+e+"-heatmap"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup["trace-"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var s=r[o],l=s[0],c=s[1],u=i[l];e.setOptions(c,"setLayoutProperty",u.layout),"visible"===u.layout.visibility&&e.setOptions(c,"setPaintProperty",u.paint)}},o._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},o._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},o.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},e.exports=function(t,e){var r=e[0].trace,i=new a(t,r.uid),o=i.sourceId,s=n(e),l=i.below=t.belowLookup["trace-"+r.uid];return t.map.addSource(o,{type:"geojson",data:s.geojson}),i._addLayers(s,l),i}},{"../../plots/mapbox/constants":854,"./convert":1008}],1014:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.hovertext,t,"htx");var i=e.marker;if(i){n.mergeArray(i.opacity,t,"mo"),n.mergeArray(i.color,t,"mc");var a=i.line;a&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"))}}},{"../../lib":750}],1015:[function(t,e,r){"use strict";var n=t("../bar/attributes"),i=t("../scatter/attributes").line,a=t("../../plots/attributes"),o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("./constants"),c=t("../../lib/extend").extendFlat,u=t("../../components/color");e.exports={x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,hovertext:n.hovertext,hovertemplate:o({},{keys:l.eventDataKeys}),hoverinfo:c({},a.hoverinfo,{flags:["name","x","y","text","percent initial","percent previous","percent total"]}),textinfo:{valType:"flaglist",flags:["label","text","percent initial","percent previous","percent total","value"],extras:["none"],editType:"plot",arrayOk:!1},texttemplate:s({editType:"plot"},{keys:l.eventDataKeys.concat(["label","value"])}),text:n.text,textposition:c({},n.textposition,{dflt:"auto"}),insidetextanchor:c({},n.insidetextanchor,{dflt:"middle"}),textangle:c({},n.textangle,{dflt:0}),textfont:n.textfont,insidetextfont:n.insidetextfont,outsidetextfont:n.outsidetextfont,constraintext:n.constraintext,cliponaxis:n.cliponaxis,orientation:c({},n.orientation,{}),offset:c({},n.offset,{arrayOk:!1}),width:c({},n.width,{arrayOk:!1}),marker:n.marker,connector:{fillcolor:{valType:"color",editType:"style"},line:{color:c({},i.color,{dflt:u.defaultLine}),width:c({},i.width,{dflt:0,editType:"plot"}),dash:i.dash,editType:"style"},visible:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup}},{"../../components/color":615,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../bar/attributes":892,"../scatter/attributes":1158,"./constants":1017}],1016:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("./arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../../constants/numerical").BADNUM;function l(t){return t===s?0:t}e.exports=function(t,e){var r,c,u,h,f,p,d=n.getFromId(t,e.xaxis||"x"),g=n.getFromId(t,e.yaxis||"y");"h"===e.orientation?(r=d.makeCalcdata(e,"x"),u=g.makeCalcdata(e,"y"),c=i(e,g,"y",u),p=!!e.yperiodalignment):(r=g.makeCalcdata(e,"y"),u=d.makeCalcdata(e,"x"),c=i(e,d,"x",u),p=!!e.xperiodalignment);var m,v=Math.min(c.length,r.length),y=new Array(v);for(e._base=[],h=0;h<v;h++){r[h]<0&&(r[h]=s);var x=!1;r[h]!==s&&h+1<v&&r[h+1]!==s&&(x=!0),f=y[h]={p:c[h],s:r[h],cNext:x},e._base[h]=-.5*f.s,p&&(y[h].orig_p=u[h]),e.ids&&(f.id=String(e.ids[h])),0===h&&(y[0].vTotal=0),y[0].vTotal+=l(f.s),f.begR=l(f.s)/l(y[0].s)}for(h=0;h<v;h++)(f=y[h]).s!==s&&(f.sumR=f.s/y[0].vTotal,f.difR=void 0!==m?f.s/m:1,m=f.s);return a(y,e),o(y,e),y}},{"../../constants/numerical":725,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"../scatter/calc_selection":1160,"./arrays_to_calcdata":1014}],1017:[function(t,e,r){"use strict";e.exports={eventDataKeys:["percentInitial","percentPrevious","percentTotal"]}},{}],1018:[function(t,e,r){"use strict";var n=t("../bar/cross_trace_calc").setGroupPositions;e.exports=function(t,e){var r,i,a=t._fullLayout,o=t._fullData,s=t.calcdata,l=e.xaxis,c=e.yaxis,u=[],h=[],f=[];for(i=0;i<o.length;i++){var p=o[i],d="h"===p.orientation;!0===p.visible&&p.xaxis===l._id&&p.yaxis===c._id&&"funnel"===p.type&&(r=s[i],d?f.push(r):h.push(r),u.push(r))}var g={mode:a.funnelmode,norm:a.funnelnorm,gap:a.funnelgap,groupgap:a.funnelgroupgap};for(n(t,l,c,h,g),n(t,c,l,f,g),i=0;i<u.length;i++){r=u[i];for(var m=0;m<r.length;m++)m+1<r.length&&(r[m].nextP0=r[m+1].p0,r[m].nextS0=r[m+1].s0,r[m].nextP1=r[m+1].p1,r[m].nextS1=r[m+1].s1)}}},{"../bar/cross_trace_calc":895}],1019:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../bar/defaults").handleGroupingDefaults,a=t("../bar/defaults").handleText,o=t("../scatter/xy_defaults"),s=t("../scatter/period_defaults"),l=t("./attributes"),c=t("../../components/color");e.exports={supplyDefaults:function(t,e,r,i){function u(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,u)){s(t,e,i,u),u("orientation",e.y&&!e.x?"v":"h"),u("offset"),u("width");var h=u("text");u("hovertext"),u("hovertemplate");var f=u("textposition");a(t,e,i,u,f,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),"none"===e.textposition||e.texttemplate||u("textinfo",Array.isArray(h)?"text+value":"value");var p=u("marker.color",r);if(u("marker.line.color",c.defaultLine),u("marker.line.width"),u("connector.visible"))u("connector.fillcolor",function(t){var e=n.isArrayOrTypedArray(t)?"#000":t;return c.addOpacity(e,.5*c.opacity(e))}(p)),u("connector.line.width")&&(u("connector.line.color"),u("connector.line.dash"))}else e.visible=!1},crossTraceDefaults:function(t,e){var r,a;function o(t){return n.coerce(a._input,a,l,t)}if("group"===e.funnelmode)for(var s=0;s<t.length;s++)r=(a=t[s])._input,i(r,a,e,o)}}},{"../../components/color":615,"../../lib":750,"../bar/defaults":896,"../scatter/period_defaults":1178,"../scatter/xy_defaults":1185,"./attributes":1015}],1020:[function(t,e,r){"use strict";e.exports=function(t,e){return t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,"percentInitial"in e&&(t.percentInitial=e.percentInitial),"percentPrevious"in e&&(t.percentPrevious=e.percentPrevious),"percentTotal"in e&&(t.percentTotal=e.percentTotal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],1021:[function(t,e,r){"use strict";var n=t("../../components/color").opacity,i=t("../bar/hover").hoverOnBars,a=t("../../lib").formatPercent;e.exports=function(t,e,r,o){var s=i(t,e,r,o);if(s){var l=s.cd,c=l[0].trace,u="h"===c.orientation,h=l[s.index];s[(u?"x":"y")+"LabelVal"]=h.s,s.percentInitial=h.begR,s.percentInitialLabel=a(h.begR,1),s.percentPrevious=h.difR,s.percentPreviousLabel=a(h.difR,1),s.percentTotal=h.sumR,s.percentTotalLabel=a(h.sumR,1);var f=h.hi||c.hoverinfo,p=[];if(f&&"none"!==f&&"skip"!==f){var d="all"===f,g=f.split("+"),m=function(t){return d||-1!==g.indexOf(t)};m("percent initial")&&p.push(s.percentInitialLabel+" of initial"),m("percent previous")&&p.push(s.percentPreviousLabel+" of previous"),m("percent total")&&p.push(s.percentTotalLabel+" of total")}return s.extraText=p.join("<br>"),s.color=function(t,e){var r=t.marker,i=e.mc||r.color,a=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(i))return i;if(n(a)&&o)return a}(c,h),[s]}}},{"../../components/color":615,"../../lib":750,"../bar/hover":899}],1022:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style").style,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("../bar/select"),moduleType:"trace",name:"funnel",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","oriented","showLegend","zoomScale"],meta:{}}},{"../../plots/cartesian":812,"../bar/select":904,"./attributes":1015,"./calc":1016,"./cross_trace_calc":1018,"./defaults":1019,"./event_data":1020,"./hover":1021,"./layout_attributes":1023,"./layout_defaults":1024,"./plot":1025,"./style":1026}],1023:[function(t,e,r){"use strict";e.exports={funnelmode:{valType:"enumerated",values:["stack","group","overlay"],dflt:"stack",editType:"calc"},funnelgap:{valType:"number",min:0,max:1,editType:"calc"},funnelgroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],1024:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s<r.length;s++){var l=r[s];if(l.visible&&"funnel"===l.type){a=!0;break}}a&&(o("funnelmode"),o("funnelgap",.2),o("funnelgroupgap"))}},{"../../lib":750,"./layout_attributes":1023}],1025:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../constants/numerical").BADNUM,s=t("../bar/plot"),l=t("../bar/uniform_text").clearMinTextSize;function c(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),i[2]=o.c2p(t.nextS0,!0),a[2]=s.c2p(t.nextP0,!0),i[3]=o.c2p(t.nextS1,!0),a[3]=s.c2p(t.nextP1,!0),n?[i,a]:[a,i]}e.exports=function(t,e,r,u){var h=t._fullLayout;l("funnel",h),function(t,e,r,s){var l=e.xaxis,u=e.yaxis;i.makeTraceGroups(s,r,"trace bars").each((function(r){var s=n.select(this),h=r[0].trace,f=i.ensureSingle(s,"g","regions");if(h.connector&&h.connector.visible){var p="h"===h.orientation,d=f.selectAll("g.region").data(i.identity);d.enter().append("g").classed("region",!0),d.exit().remove();var g=d.size();d.each((function(r,s){if(s===g-1||r.cNext){var h=c(r,l,u,p),f=h[0],d=h[1],m="";f[0]!==o&&d[0]!==o&&f[1]!==o&&d[1]!==o&&f[2]!==o&&d[2]!==o&&f[3]!==o&&d[3]!==o&&(m+=p?"M"+f[0]+","+d[1]+"L"+f[2]+","+d[2]+"H"+f[3]+"L"+f[1]+","+d[1]+"Z":"M"+f[1]+","+d[1]+"L"+f[2]+","+d[3]+"V"+d[2]+"L"+f[1]+","+d[0]+"Z"),""===m&&(m="M0,0Z"),i.ensureSingle(n.select(this),"path").attr("d",m).call(a.setClipUrl,e.layerClipId,t)}}))}else f.remove()}))}(t,e,r,u),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;i.makeTraceGroups(o,r,"trace bars").each((function(r){var o=n.select(this),u=r[0].trace,h=i.ensureSingle(o,"g","lines");if(u.connector&&u.connector.visible&&u.connector.line.width){var f="h"===u.orientation,p=h.selectAll("g.line").data(i.identity);p.enter().append("g").classed("line",!0),p.exit().remove();var d=p.size();p.each((function(r,o){if(o===d-1||r.cNext){var u=c(r,s,l,f),h=u[0],p=u[1],g="";void 0!==h[3]&&void 0!==p[3]&&(f?(g+="M"+h[0]+","+p[1]+"L"+h[2]+","+p[2],g+="M"+h[1]+","+p[1]+"L"+h[3]+","+p[2]):(g+="M"+h[1]+","+p[1]+"L"+h[2]+","+p[3],g+="M"+h[1]+","+p[0]+"L"+h[2]+","+p[2])),""===g&&(g="M0,0Z"),i.ensureSingle(n.select(this),"path").attr("d",g).call(a.setClipUrl,e.layerClipId,t)}}))}else h.remove()}))}(t,e,r,u),s.plot(t,e,r,u,{mode:h.funnelmode,norm:h.funnelmode,gap:h.funnelgap,groupgap:h.funnelgroupgap})}},{"../../components/drawing":637,"../../constants/numerical":725,"../../lib":750,"../bar/plot":903,"../bar/uniform_text":908,d3:169}],1026:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../components/color"),o=t("../../constants/interactions").DESELECTDIM,s=t("../bar/style"),l=t("../bar/uniform_text").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,r){var s=r||n.select(t).selectAll("g.funnellayer").selectAll("g.trace");l(t,s,"funnel"),s.style("opacity",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(".point > path").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style("opacity",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(".regions").each((function(){n.select(this).selectAll("path").style("stroke-width",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(".lines").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll("path"),t.width,t.color,t.dash)}))}))}}},{"../../components/color":615,"../../components/drawing":637,"../../constants/interactions":724,"../bar/style":906,"../bar/uniform_text":908,d3:169}],1027:[function(t,e,r){"use strict";var n=t("../pie/attributes"),i=t("../../plots/attributes"),a=t("../../plots/domain").attributes,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("../../lib/extend").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:["label","text","value","percent"]}),texttemplate:s({editType:"plot"},{keys:["label","color","value","text","percent"]}),hoverinfo:l({},i.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:o({},{keys:["label","color","value","text","percent"]}),textposition:l({},n.textposition,{values:["inside","none"],dflt:"inside"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:["top left","top center","top right"],dflt:"top center"}),editType:"plot"},domain:a({name:"funnelarea",trace:!0,editType:"calc"}),aspectratio:{valType:"number",min:0,dflt:1,editType:"plot"},baseratio:{valType:"number",min:0,max:1,dflt:.333,editType:"plot"}}},{"../../lib/extend":740,"../../plots/attributes":795,"../../plots/domain":826,"../../plots/template_attributes":877,"../pie/attributes":1132}],1028:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="funnelarea",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":862}],1029:[function(t,e,r){"use strict";var n=t("../pie/calc");e.exports={calc:function(t,e){return n.calc(t,e)},crossTraceCalc:function(t){n.crossTraceCalc(t,{type:"funnelarea"})}}},{"../pie/calc":1134}],1030:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText,s=t("../pie/defaults").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c("labels"),h=c("values"),f=s(u,h),p=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),p){e._length=p,c("marker.line.width")&&c("marker.line.color",l.paper_bgcolor),c("marker.colors"),c("scalegroup");var d,g=c("text"),m=c("texttemplate");if(m||(d=c("textinfo",Array.isArray(g)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),m||d&&"none"!==d){var v=c("textposition");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c("title.text")&&(c("title.position"),n.coerceFont(c,"title.font",l.font)),c("aspectratio"),c("baseratio")}else e.visible=!1}},{"../../lib":750,"../../plots/domain":826,"../bar/defaults":896,"../pie/defaults":1135,"./attributes":1027}],1031:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"funnelarea",basePlotModule:t("./base_plot"),categories:["pie-like","funnelarea","showLegend"],attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style"),styleOne:t("../pie/style_one"),meta:{}}},{"../pie/style_one":1143,"./attributes":1027,"./base_plot":1028,"./calc":1029,"./defaults":1030,"./layout_attributes":1032,"./layout_defaults":1033,"./plot":1034,"./style":1035}],1032:[function(t,e,r){"use strict";var n=t("../pie/layout_attributes").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:"colorlist",editType:"calc"},extendfunnelareacolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{"../pie/layout_attributes":1139}],1033:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("funnelareacolorway",e.colorway),r("extendfunnelareacolors")}},{"../../lib":750,"./layout_attributes":1032}],1034:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../lib"),o=t("../../lib/svg_text_utils"),s=t("../bar/plot").toMoveInsideBar,l=t("../bar/uniform_text"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t("../pie/helpers"),f=t("../pie/plot"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,m=f.prerenderTitles,v=f.positionTitleOutside,y=f.formatSliceLabel;function x(t,e){return"l"+(e[0]-t[0])+","+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;u("funnelarea",r),m(e,t),g(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,"trace").each((function(e){var l=n.select(this),u=e[0],f=u.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var h,f,p=[];for(p.push(u()),h=t.length-1;h>-1;h--)if(!(f=t[h]).hidden){var d=f.v/l;c+=d,p.push(u())}var g=1/0,m=-1/0;for(h=0;h<p.length;h++)a=p[h],g=Math.min(g,a[1]),m=Math.max(m,a[1]);for(h=0;h<p.length;h++)p[h][1]-=(m+g)/2;var v=p[p.length-1][0],y=e.r,x=(m-g)/2,b=y/v,_=y/x*n;for(e.r=_*x,h=0;h<p.length;h++)p[h][0]*=b,p[h][1]*=_;var w=[-(a=p[0])[0],a[1]],T=[a[0],a[1]],k=0;for(h=t.length-1;h>-1;h--)if(!(f=t[h]).hidden){var M=p[k+=1][0],A=p[k][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=T,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,T=f.TR}var S,E}(e),l.each((function(){var l=n.select(this).selectAll("g.slice").data(e);l.enter().append("g").classed("slice",!0),l.exit().remove(),l.each((function(l,g){if(l.hidden)n.select(this).selectAll("path,g").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var m=u.cx,v=u.cy,b=n.select(this),_=b.selectAll("path.surface").data([l]);_.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),b.call(p,t,e);var w="M"+(m+l.TR[0])+","+(v+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+"Z";_.attr("d",w),y(t,l,u);var T=h.castOption(f.textposition,l.pts),k=b.selectAll("g.slicetext").data(l.text&&"none"!==T?[0]:[]);k.enter().append("g").classed("slicetext",!0),k.exit().remove(),k.each((function(){var u=a.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=a.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(i.font,h).call(o.convertToTspans,t);var p,y,x,b=i.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+v,w=Math.max(l.TL[1],l.TR[1])+v;y=Math.max(l.TL[0],l.BL[0])+m,x=Math.min(l.TR[0],l.BR[0])+m,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:"middle"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr("transform",a.getTextTransform(p))}))}}));var g=n.select(this).selectAll("g.titletext").data(f.title.text?[0]:[]);g.enter().append("g").classed("titletext",!0),g.exit().remove(),g.each((function(){var e=a.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),s=f.title.text;f._meta&&(s=a.templateString(s,f._meta)),e.text(s).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(i.font,f.title.font).call(o.convertToTspans,t);var l=v(u,r._size);e.attr("transform","translate("+l.x+","+l.y+")"+(l.scale<1?"scale("+l.scale+")":"")+"translate("+l.tx+","+l.ty+")")}))}))}))}},{"../../components/drawing":637,"../../lib":750,"../../lib/svg_text_utils":774,"../bar/plot":903,"../bar/uniform_text":908,"../pie/helpers":1137,"../pie/plot":1141,d3:169}],1035:[function(t,e,r){"use strict";var n=t("d3"),i=t("../pie/style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(".trace");a(t,e,"funnelarea"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":908,"../pie/style_one":1143,d3:169}],1036:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../components/colorscale/attributes"),s=(t("../../constants/docs").FORMAT_LINK,t("../../lib/extend").extendFlat);e.exports=s({z:{valType:"data_array",editType:"calc"},x:s({},n.x,{impliedEdits:{xtype:"array"}}),x0:s({},n.x0,{impliedEdits:{xtype:"scaled"}}),dx:s({},n.dx,{impliedEdits:{xtype:"scaled"}}),y:s({},n.y,{impliedEdits:{ytype:"array"}}),y0:s({},n.y0,{impliedEdits:{ytype:"scaled"}}),dy:s({},n.dy,{impliedEdits:{ytype:"scaled"}}),xperiod:s({},n.xperiod,{impliedEdits:{xtype:"scaled"}}),yperiod:s({},n.yperiod,{impliedEdits:{ytype:"scaled"}}),xperiod0:s({},n.xperiod0,{impliedEdits:{xtype:"scaled"}}),yperiod0:s({},n.yperiod0,{impliedEdits:{ytype:"scaled"}}),xperiodalignment:s({},n.xperiodalignment,{impliedEdits:{xtype:"scaled"}}),yperiodalignment:s({},n.yperiodalignment,{impliedEdits:{ytype:"scaled"}}),text:{valType:"data_array",editType:"calc"},hovertext:{valType:"data_array",editType:"calc"},transpose:{valType:"boolean",dflt:!1,editType:"calc"},xtype:{valType:"enumerated",values:["array","scaled"],editType:"calc+clearAxisTypes"},ytype:{valType:"enumerated",values:["array","scaled"],editType:"calc+clearAxisTypes"},zsmooth:{valType:"enumerated",values:["fast","best",!1],dflt:!1,editType:"calc"},hoverongaps:{valType:"boolean",dflt:!0,editType:"none"},connectgaps:{valType:"boolean",editType:"calc"},xgap:{valType:"number",dflt:0,min:0,editType:"plot"},ygap:{valType:"number",dflt:0,min:0,editType:"plot"},zhoverformat:{valType:"string",dflt:"",editType:"none"},hovertemplate:a(),showlegend:s({},i.showlegend,{dflt:!1})},{transforms:void 0},o("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":622,"../../constants/docs":720,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scatter/attributes":1158}],1037:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../histogram2d/calc"),l=t("../../components/colorscale/calc"),c=t("./convert_column_xyz"),u=t("./clean_2d_array"),h=t("./interp2d"),f=t("./find_empties"),p=t("./make_bound_array"),d=t("../../constants/numerical").BADNUM;function g(t){for(var e=[],r=t.length,n=0;n<r;n++){var i=t[n];i!==d&&e.push(i)}return e}e.exports=function(t,e){var r,m,v,y,x,b,_,w,T,k,M,A=a.getFromId(t,e.xaxis||"x"),S=a.getFromId(t,e.yaxis||"y"),E=n.traceIs(e,"contour"),C=n.traceIs(e,"histogram"),L=n.traceIs(e,"gl2d"),P=E?"best":e.zsmooth;if(A._minDtick=0,S._minDtick=0,C)y=(M=s(t,e)).orig_x,r=M.x,m=M.x0,v=M.dx,w=M.orig_y,x=M.y,b=M.y0,_=M.dy,T=M.z;else{var I=e.z;i.isArray1D(I)?(c(e,A,S,"x","y",["z"]),r=e._x,x=e._y,I=e._z):(y=e.x?A.makeCalcdata(e,"x"):[],w=e.y?S.makeCalcdata(e,"y"):[],r=o(e,A,"x",y),x=o(e,S,"y",w),e._x=r,e._y=x),m=e.x0,v=e.dx,b=e.y0,_=e.dy,T=u(I,e,A,S)}function z(t){P=e._input.zsmooth=e.zsmooth=!1,i.warn('cannot use zsmooth: "fast": '+t)}if((A.rangebreaks||S.rangebreaks)&&(T=function(t,e,r){for(var n=[],i=-1,a=0;a<r.length;a++)if(e[a]!==d){i++,n[i]=[];for(var o=0;o<r[a].length;o++)t[o]!==d&&n[i].push(r[a][o])}return n}(r,x,T),C||(r=g(r),x=g(x),e._x=r,e._y=x)),C||!E&&!e.connectgaps||(e._emptypoints=f(T),h(T,e._emptypoints)),"fast"===P)if("log"===A.type||"log"===S.type)z("log axis found");else if(!C){if(r.length){var O=(r[r.length-1]-r[0])/(r.length-1),D=Math.abs(O/100);for(k=0;k<r.length-1;k++)if(Math.abs(r[k+1]-r[k]-O)>D){z("x scale is not linear");break}}if(x.length&&"fast"===P){var R=(x[x.length-1]-x[0])/(x.length-1),F=Math.abs(R/100);for(k=0;k<x.length-1;k++)if(Math.abs(x[k+1]-x[k]-R)>F){z("y scale is not linear");break}}}var B=i.maxRowLength(T),N="scaled"===e.xtype?"":r,j=p(e,N,m,v,B,A),U="scaled"===e.ytype?"":x,V=p(e,U,b,_,T.length,S);L||(e._extremes[A._id]=a.findExtremes(A,j),e._extremes[S._id]=a.findExtremes(S,V));var q={x:j,y:V,z:T,text:e._text||e.text,hovertext:e._hovertext||e.hovertext};if(e.xperiodalignment&&y&&(q.orig_x=y),e.yperiodalignment&&w&&(q.orig_y=w),N&&N.length===j.length-1&&(q.xCenter=N),U&&U.length===V.length-1&&(q.yCenter=U),C&&(q.xRanges=M.xRanges,q.yRanges=M.yRanges,q.pts=M.pts),E||l(t,e,{vals:T,cLetter:"z"}),E&&e.contours&&"heatmap"===e.contours.coloring){var H={type:"contour"===e.type?"heatmap":"histogram2d",xcalendar:e.xcalendar,ycalendar:e.ycalendar};q.xfill=p(H,N,m,v,B,A),q.yfill=p(H,U,b,_,T.length,S)}return[q]}},{"../../components/colorscale/calc":623,"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"../../registry":882,"../histogram2d/calc":1069,"./clean_2d_array":1038,"./convert_column_xyz":1040,"./find_empties":1042,"./interp2d":1045,"./make_bound_array":1046}],1038:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r,o){var s,l,c,u,h,f;function p(t){if(n(t))return+t}if(e&&e.transpose){for(s=0,h=0;h<t.length;h++)s=Math.max(s,t[h].length);if(0===s)return!1;c=function(t){return t.length},u=function(t,e,r){return(t[r]||[])[e]}}else s=t.length,c=function(t,e){return t[e].length},u=function(t,e,r){return(t[e]||[])[r]};var d=function(t,e,r){return e===a||r===a?a:u(t,e,r)};function g(t){if(e&&"carpet"!==e.type&&"contourcarpet"!==e.type&&t&&"category"===t.type&&e["_"+t._id.charAt(0)].length){var r=t._id.charAt(0),n={},o=e["_"+r+"CategoryMap"]||e[r];for(h=0;h<o.length;h++)n[o[h]]=h;return function(e){var r=n[t._categories[e]];return r+1?r:a}}return i.identity}var m=g(r),v=g(o);o&&"category"===o.type&&(s=o._categories.length);var y=new Array(s);for(h=0;h<s;h++)for(l=r&&"category"===r.type?r._categories.length:c(t,h),y[h]=new Array(l),f=0;f<l;f++)y[h][f]=p(d(t,v(h),m(f)));return y}},{"../../constants/numerical":725,"../../lib":750,"fast-isnumeric":241}],1039:[function(t,e,r){"use strict";e.exports={min:"zmin",max:"zmax"}},{}],1040:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../constants/numerical").BADNUM,a=t("../../plots/cartesian/align_period");e.exports=function(t,e,r,o,s,l){var c=t._length,u=e.makeCalcdata(t,o),h=r.makeCalcdata(t,s);u=a(t,e,o,u),h=a(t,r,s,h);var f,p,d,g,m=t.text,v=void 0!==m&&n.isArray1D(m),y=t.hovertext,x=void 0!==y&&n.isArray1D(y),b=n.distinctVals(u),_=b.vals,w=n.distinctVals(h),T=w.vals,k=[],M=T.length,A=_.length;for(f=0;f<l.length;f++)k[f]=n.init2dArray(M,A);v&&(d=n.init2dArray(M,A)),x&&(g=n.init2dArray(M,A));var S=n.init2dArray(M,A);for(f=0;f<c;f++)if(u[f]!==i&&h[f]!==i){var E=n.findBin(u[f]+b.minDiff/2,_),C=n.findBin(h[f]+w.minDiff/2,T);for(p=0;p<l.length;p++){var L=t[l[p]];k[p][C][E]=L[f],S[C][E]=f}v&&(d[C][E]=m[f]),x&&(g[C][E]=y[f])}for(t["_"+o]=_,t["_"+s]=T,p=0;p<l.length;p++)t["_"+l[p]]=k[p];v&&(t._text=d),x&&(t._hovertext=g),e&&"category"===e.type&&(t["_"+o+"CategoryMap"]=_.map((function(t){return e._categories[t]}))),r&&"category"===r.type&&(t["_"+s+"CategoryMap"]=T.map((function(t){return r._categories[t]}))),t._after2before=S}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796}],1041:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./xyz_defaults"),a=t("../scatter/period_defaults"),o=t("./style_defaults"),s=t("../../components/colorscale/defaults"),l=t("./attributes");e.exports=function(t,e,r,c){function u(r,i){return n.coerce(t,e,l,r,i)}i(t,e,u,c)?(a(t,e,c,u),u("text"),u("hovertext"),u("hovertemplate"),o(t,e,u,c),u("hoverongaps"),u("connectgaps",n.isArray1D(e.z)&&!1!==e.zsmooth),s(t,e,c,u,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"../scatter/period_defaults":1178,"./attributes":1036,"./style_defaults":1049,"./xyz_defaults":1050}],1042:[function(t,e,r){"use strict";var n=t("../../lib").maxRowLength;e.exports=function(t){var e,r,i,a,o,s,l,c,u=[],h={},f=[],p=t[0],d=[],g=[0,0,0],m=n(t);for(r=0;r<t.length;r++)for(e=d,d=p,p=t[r+1]||[],i=0;i<m;i++)void 0===d[i]&&((s=(void 0!==d[i-1]?1:0)+(void 0!==d[i+1]?1:0)+(void 0!==e[i]?1:0)+(void 0!==p[i]?1:0))?(0===r&&s++,0===i&&s++,r===t.length-1&&s++,i===d.length-1&&s++,s<4&&(h[[r,i]]=[r,i,s]),u.push([r,i,s])):f.push([r,i]));for(;f.length;){for(l={},c=!1,o=f.length-1;o>=0;o--)(s=((h[[(r=(a=f[o])[0])-1,i=a[1]]]||g)[2]+(h[[r+1,i]]||g)[2]+(h[[r,i-1]]||g)[2]+(h[[r,i+1]]||g)[2])/20)&&(l[a]=[r,i,s],f.splice(o,1),c=!0);if(!c)throw"findEmpties iterated with no new neighbors";for(a in l)h[a]=l[a],u.push(l[a])}return u.sort((function(t,e){return e[2]-t[2]}))}},{"../../lib":750}],1043:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../components/colorscale").extractOpts;e.exports=function(t,e,r,s,l,c){var u,h,f,p,d=t.cd[0],g=d.trace,m=t.xa,v=t.ya,y=d.x,x=d.y,b=d.z,_=d.xCenter,w=d.yCenter,T=d.zmask,k=g.zhoverformat,M=y,A=x;if(!1!==t.index){try{f=Math.round(t.index[1]),p=Math.round(t.index[0])}catch(e){return void i.error("Error hovering on heatmap, pointNumber must be [row,col], found:",t.index)}if(f<0||f>=b[0].length||p<0||p>b.length)return}else{if(n.inbox(e-y[0],e-y[y.length-1],0)>0||n.inbox(r-x[0],r-x[x.length-1],0)>0)return;if(c){var S;for(M=[2*y[0]-y[1]],S=1;S<y.length;S++)M.push((y[S]+y[S-1])/2);for(M.push([2*y[y.length-1]-y[y.length-2]]),A=[2*x[0]-x[1]],S=1;S<x.length;S++)A.push((x[S]+x[S-1])/2);A.push([2*x[x.length-1]-x[x.length-2]])}f=Math.max(0,Math.min(M.length-2,i.findBin(e,M))),p=Math.max(0,Math.min(A.length-2,i.findBin(r,A)))}var E,C,L=m.c2p(y[f]),P=m.c2p(y[f+1]),I=v.c2p(x[p]),z=v.c2p(x[p+1]);c?(E=d.orig_x||y,C=d.orig_y||x,P=L,u=E[f],z=I,h=C[p]):(E=d.orig_x||_||y,C=d.orig_y||w||x,u=_?E[f]:(E[f]+E[f+1])/2,h=w?C[p]:(C[p]+C[p+1])/2,m&&"category"===m.type&&(u=y[f]),v&&"category"===v.type&&(h=x[p]),g.zsmooth&&(L=P=m.c2p(u),I=z=v.c2p(h)));var O=b[p][f];if(T&&!T[p][f]&&(O=void 0),void 0!==O||g.hoverongaps){var D;Array.isArray(d.hovertext)&&Array.isArray(d.hovertext[p])?D=d.hovertext[p][f]:Array.isArray(d.text)&&Array.isArray(d.text[p])&&(D=d.text[p][f]);var R=o(g),F={type:"linear",range:[R.min,R.max],hoverformat:k,_separators:m._separators,_numFormat:m._numFormat},B=a.tickText(F,O,"hover").text;return[i.extendFlat(t,{index:g._after2before?g._after2before[p][f]:[p,f],distance:t.maxHoverDistance,spikeDistance:t.maxSpikeDistance,x0:L,x1:P,y0:I,y1:z,xLabelVal:u,yLabelVal:h,zLabelVal:O,zLabel:B,text:D})]}}},{"../../components/colorscale":627,"../../components/fx":655,"../../lib":750,"../../plots/cartesian/axes":799}],1044:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:t("./colorbar"),style:t("./style"),hoverPoints:t("./hover"),moduleType:"trace",name:"heatmap",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","showLegend"],meta:{}}},{"../../plots/cartesian":812,"./attributes":1036,"./calc":1037,"./colorbar":1039,"./defaults":1041,"./hover":1043,"./plot":1047,"./style":1048}],1045:[function(t,e,r){"use strict";var n=t("../../lib"),i=[[-1,0],[1,0],[0,-1],[0,1]];function a(t){return.5-.25*Math.min(1,.5*t)}function o(t,e,r){var n,a,o,s,l,c,u,h,f,p,d,g,m,v=0;for(s=0;s<e.length;s++){for(a=(n=e[s])[0],o=n[1],d=t[a][o],p=0,f=0,l=0;l<4;l++)(u=t[a+(c=i[l])[0]])&&void 0!==(h=u[o+c[1]])&&(0===p?g=m=h:(g=Math.min(g,h),m=Math.max(m,h)),f++,p+=h);if(0===f)throw"iterateInterp2d order is wrong: no defined neighbors";t[a][o]=p/f,void 0===d?f<4&&(v=1):(t[a][o]=(1+r)*t[a][o]-r*d,m>g&&(v=Math.max(v,Math.abs(t[a][o]-d)/(m-g))))}return v}e.exports=function(t,e){var r,i=1;for(o(t,e),r=0;r<e.length&&!(e[r][2]<4);r++);for(e=e.slice(r),r=0;r<100&&i>.01;r++)i=o(t,e,a(i));return i>.01&&n.log("interp2d didn't converge quickly",i),t}},{"../../lib":750}],1046:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a,o,s){var l,c,u,h=[],f=n.traceIs(t,"contour"),p=n.traceIs(t,"histogram"),d=n.traceIs(t,"gl2d");if(i(e)&&e.length>1&&!p&&"category"!==s.type){var g=e.length;if(!(g<=o))return f?e.slice(0,o):e.slice(0,o+1);if(f||d)h=e.slice(0,o);else if(1===o)h=[e[0]-.5,e[0]+.5];else{for(h=[1.5*e[0]-.5*e[1]],u=1;u<g;u++)h.push(.5*(e[u-1]+e[u]));h.push(1.5*e[g-1]-.5*e[g-2])}if(g<o){var m=h[h.length-1],v=m-h[h.length-2];for(u=g;u<o;u++)m+=v,h.push(m)}}else{var y=t[s._id.charAt(0)+"calendar"];if(p)l=s.r2c(r,0,y);else if(i(e)&&1===e.length)l=e[0];else if(void 0===r)l=0;else{l=("log"===s.type?s.d2c:s.r2c)(r,0,y)}for(c=a||1,u=f||d?0:-.5;u<o;u++)h.push(l+c*u)}return h}},{"../../lib":750,"../../registry":882}],1047:[function(t,e,r){"use strict";var n=t("d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=t("../../components/colorscale").makeColorScaleFuncFromTrace,l=t("../../constants/xmlns_namespaces");function c(t,e){var r=e.length-2,n=o.constrain(o.findBin(t,e),0,r),i=e[n],a=e[n+1],s=o.constrain(n+(t-i)/(a-i)-.5,0,r),l=Math.round(s),c=Math.abs(s-l);return s&&s!==r&&c?{bin0:l,frac:c,bin1:Math.round(l+c/(s-l))}:{bin0:l,bin1:l,frac:0}}function u(t,e){var r=e.length-1,n=o.constrain(o.findBin(t,e),0,r),i=e[n],a=(t-i)/(e[n+1]-i)||0;return a<=0?{bin0:n,bin1:n,frac:0}:a<.5?{bin0:n,bin1:n+1,frac:a}:{bin0:n+1,bin1:n,frac:1-a}}function h(t,e,r){t[e]=r[0],t[e+1]=r[1],t[e+2]=r[2],t[e+3]=Math.round(255*r[3])}e.exports=function(t,e,r,f){var p=e.xaxis,d=e.yaxis;o.makeTraceGroups(f,r,"hm").each((function(e){var r,f,g,m,v,y,x=n.select(this),b=e[0],_=b.trace,w=b.z,T=b.x,k=b.y,M=b.xCenter,A=b.yCenter,S=a.traceIs(_,"contour"),E=S?"best":_.zsmooth,C=w.length,L=o.maxRowLength(w),P=!1,I=!1;for(y=0;void 0===r&&y<T.length-1;)r=p.c2p(T[y]),y++;for(y=T.length-1;void 0===f&&y>0;)f=p.c2p(T[y]),y--;for(f<r&&(g=f,f=r,r=g,P=!0),y=0;void 0===m&&y<k.length-1;)m=d.c2p(k[y]),y++;for(y=k.length-1;void 0===v&&y>0;)v=d.c2p(k[y]),y--;if(v<m&&(g=m,m=v,v=g,I=!0),S&&(M=T,A=k,T=b.xfill,k=b.yfill),"fast"!==E){var z="best"===E?0:.5;r=Math.max(-z*p._length,r),f=Math.min((1+z)*p._length,f),m=Math.max(-z*d._length,m),v=Math.min((1+z)*d._length,v)}var O=Math.round(f-r),D=Math.round(v-m);if(O<=0||D<=0){x.selectAll("image").data([]).exit().remove()}else{var R,F;"fast"===E?(R=L,F=C):(R=O,F=D);var B=document.createElement("canvas");B.width=R,B.height=F;var N,j,U=B.getContext("2d"),V=s(_,{noNumericCheck:!0,returnArray:!0});"fast"===E?(N=P?function(t){return L-1-t}:o.identity,j=I?function(t){return C-1-t}:o.identity):(N=function(t){return o.constrain(Math.round(p.c2p(T[t])-r),0,O)},j=function(t){return o.constrain(Math.round(d.c2p(k[t])-m),0,D)});var q,H,G,Y,W,Z=j(0),X=[Z,Z],J=P?0:1,K=I?0:1,Q=0,$=0,tt=0,et=0;if(E){var rt,nt=0;try{rt=new Uint8Array(O*D*4)}catch(t){rt=new Array(O*D*4)}if("best"===E){var it,at,ot,st=M||T,lt=A||k,ct=new Array(st.length),ut=new Array(lt.length),ht=new Array(O),ft=M?u:c,pt=A?u:c;for(y=0;y<st.length;y++)ct[y]=Math.round(p.c2p(st[y])-r);for(y=0;y<lt.length;y++)ut[y]=Math.round(d.c2p(lt[y])-m);for(y=0;y<O;y++)ht[y]=ft(y,ct);for(H=0;H<D;H++)for(at=w[(it=pt(H,ut)).bin0],ot=w[it.bin1],y=0;y<O;y++,nt+=4)h(rt,nt,W=kt(at,ot,ht[y],it))}else for(H=0;H<C;H++)for(Y=w[H],X=j(H),y=0;y<O;y++)W=Tt(Y[y],1),h(rt,nt=4*(X*O+N(y)),W);var dt=U.createImageData(O,D);try{dt.data.set(rt)}catch(t){var gt=dt.data,mt=gt.length;for(H=0;H<mt;H++)gt[H]=rt[H]}U.putImageData(dt,0,0)}else{var vt=_.xgap,yt=_.ygap,xt=Math.floor(vt/2),bt=Math.floor(yt/2);for(H=0;H<C;H++)if(Y=w[H],X.reverse(),X[K]=j(H+1),X[0]!==X[1]&&void 0!==X[0]&&void 0!==X[1])for(q=[G=N(0),G],y=0;y<L;y++)q.reverse(),q[J]=N(y+1),q[0]!==q[1]&&void 0!==q[0]&&void 0!==q[1]&&(W=Tt(Y[y],(q[1]-q[0])*(X[1]-X[0])),U.fillStyle="rgba("+W.join(",")+")",U.fillRect(q[0]+xt,X[0]+bt,q[1]-q[0]-vt,X[1]-X[0]-yt))}$=Math.round($/Q),tt=Math.round(tt/Q),et=Math.round(et/Q);var _t=i("rgb("+$+","+tt+","+et+")");t._hmpixcount=(t._hmpixcount||0)+Q,t._hmlumcount=(t._hmlumcount||0)+Q*_t.getLuminance();var wt=x.selectAll("image").data(e);wt.enter().append("svg:image").attr({xmlns:l.svg,preserveAspectRatio:"none"}),wt.attr({height:D,width:O,x:r,y:m,"xlink:href":B.toDataURL("image/png")})}function Tt(t,e){if(void 0!==t){var r=V(t);return r[0]=Math.round(r[0]),r[1]=Math.round(r[1]),r[2]=Math.round(r[2]),Q+=e,$+=r[0]*e,tt+=r[1]*e,et+=r[2]*e,r}return[0,0,0,0]}function kt(t,e,r,n){var i=t[r.bin0];if(void 0===i)return Tt(void 0,1);var a,o=t[r.bin1],s=e[r.bin0],l=e[r.bin1],c=o-i||0,u=s-i||0;return a=void 0===o?void 0===l?0:void 0===s?2*(l-i):2*(2*l-s-i)/3:void 0===l?void 0===s?0:2*(2*i-o-s)/3:void 0===s?2*(2*l-o-i)/3:l+i-o-s,Tt(i+r.frac*c+n.frac*(u+r.frac*a))}}))}},{"../../components/colorscale":627,"../../constants/xmlns_namespaces":726,"../../lib":750,"../../registry":882,d3:169,tinycolor2:548}],1048:[function(t,e,r){"use strict";var n=t("d3");e.exports=function(t){n.select(t).selectAll(".hm image").style("opacity",(function(t){return t.trace.opacity}))}},{d3:169}],1049:[function(t,e,r){"use strict";e.exports=function(t,e,r){!1===r("zsmooth")&&(r("xgap"),r("ygap")),r("zhoverformat")}},{}],1050:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../registry");function o(t,e){var r=e(t);return"scaled"===(r?e(t+"type","array"):"scaled")&&(e(t+"0"),e("d"+t)),r}e.exports=function(t,e,r,s,l,c){var u,h,f=r("z");if(l=l||"x",c=c||"y",void 0===f||!f.length)return 0;if(i.isArray1D(t.z)){u=r(l),h=r(c);var p=i.minRowLength(u),d=i.minRowLength(h);if(0===p||0===d)return 0;e._length=Math.min(p,d,f.length)}else{if(u=o(l,r),h=o(c,r),!function(t){for(var e,r=!0,a=!1,o=!1,s=0;s<t.length;s++){if(e=t[s],!i.isArrayOrTypedArray(e)){r=!1;break}e.length>0&&(a=!0);for(var l=0;l<e.length;l++)if(n(e[l])){o=!0;break}}return r&&a&&o}(f))return 0;r("transpose"),e._length=null}return"heatmapgl"===t.type||"contourgl"===t.type||a.getComponentMethod("calendars","handleTraceDefaults")(t,e,[l,c],s),!0}},{"../../lib":750,"../../registry":882,"fast-isnumeric":241}],1051:[function(t,e,r){"use strict";for(var n=t("../heatmap/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll,s=["z","x","x0","dx","y","y0","dy","text","transpose","xtype","ytype"],l={},c=0;c<s.length;c++){var u=s[c];l[u]=n[u]}l.zsmooth={valType:"enumerated",values:["fast",!1],dflt:"fast",editType:"calc"},a(l,i("",{cLetter:"z",autoColorDflt:!1})),e.exports=o(l,"calc","nested")},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/edit_types":781,"../heatmap/attributes":1036}],1052:[function(t,e,r){"use strict";var n=t("gl-heatmap2d"),i=t("../../plots/cartesian/axes"),a=t("../../lib/str2rgbarray");function o(t,e){this.scene=t,this.uid=e,this.type="heatmapgl",this.name="",this.hoverinfo="all",this.xData=[],this.yData=[],this.zData=[],this.textLabels=[],this.idToIndex=[],this.bounds=[0,0,0,0],this.options={zsmooth:"fast",z:[],x:[],y:[],shape:[0,0],colorLevels:[0],colorValues:[0,0,0,1]},this.heatmap=n(t.glplot,this.options),this.heatmap._trace=this}var s=o.prototype;s.handlePick=function(t){var e=this.options,r=e.shape,n=t.pointId,i=n%r[0],a=Math.floor(n/r[0]),o=n;return{trace:this,dataCoord:t.dataCoord,traceCoord:[e.x[i],e.y[a],e.z[o]],textLabel:this.textLabels[n],name:this.name,pointIndex:[a,i],hoverinfo:this.hoverinfo}},s.update=function(t,e){var r=e[0];this.index=t.index,this.name=t.name,this.hoverinfo=t.hoverinfo;var n=r.z;this.options.z=[].concat.apply([],n);var o=n[0].length,s=n.length;this.options.shape=[o,s],this.options.x=r.x,this.options.y=r.y,this.options.zsmooth=t.zsmooth;var l=function(t){for(var e=t.colorscale,r=t.zmin,n=t.zmax,i=e.length,o=new Array(i),s=new Array(4*i),l=0;l<i;l++){var c=e[l],u=a(c[1]);o[l]=r+c[0]*(n-r);for(var h=0;h<4;h++)s[4*l+h]=u[h]}return{colorLevels:o,colorValues:s}}(t);this.options.colorLevels=l.colorLevels,this.options.colorValues=l.colorValues,this.textLabels=[].concat.apply([],t.text),this.heatmap.update(this.options);var c,u,h=this.scene.xaxis,f=this.scene.yaxis;!1===t.zsmooth&&(c={ppad:r.x[1]-r.x[0]},u={ppad:r.y[1]-r.y[0]}),t._extremes[h._id]=i.findExtremes(h,r.x,c),t._extremes[f._id]=i.findExtremes(f,r.y,u)},s.dispose=function(){this.heatmap.dispose()},e.exports=function(t,e,r){var n=new o(t,e.uid);return n.update(e,r),n}},{"../../lib/str2rgbarray":773,"../../plots/cartesian/axes":799,"gl-heatmap2d":268}],1053:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../heatmap/xyz_defaults"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,l,s)?(l("text"),l("zsmooth"),a(t,e,s,l,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"../heatmap/xyz_defaults":1050,"./attributes":1051}],1054:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../heatmap/calc"),plot:t("./convert"),moduleType:"trace",name:"heatmapgl",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","2dMap"],meta:{}}},{"../../plots/gl2d":839,"../heatmap/calc":1037,"../heatmap/colorbar":1039,"./attributes":1051,"./convert":1052,"./defaults":1053}],1055:[function(t,e,r){"use strict";var n=t("../bar/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("./bin_attributes"),o=t("./constants"),s=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),orientation:n.orientation,histfunc:{valType:"enumerated",values:["count","sum","avg","min","max"],dflt:"count",editType:"calc"},histnorm:{valType:"enumerated",values:["","percent","probability","density","probability density"],dflt:"",editType:"calc"},cumulative:{enabled:{valType:"boolean",dflt:!1,editType:"calc"},direction:{valType:"enumerated",values:["increasing","decreasing"],dflt:"increasing",editType:"calc"},currentbin:{valType:"enumerated",values:["include","exclude","half"],dflt:"include",editType:"calc"},editType:"calc"},nbinsx:{valType:"integer",min:0,dflt:0,editType:"calc"},xbins:a("x",!0),nbinsy:{valType:"integer",min:0,dflt:0,editType:"calc"},ybins:a("y",!0),autobinx:{valType:"boolean",dflt:null,editType:"calc"},autobiny:{valType:"boolean",dflt:null,editType:"calc"},bingroup:{valType:"string",dflt:"",editType:"calc"},hovertemplate:i({},{keys:o.eventDataKeys}),marker:n.marker,offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,_deprecated:{bardir:n._deprecated.bardir}}},{"../../lib/extend":740,"../../plots/template_attributes":877,"../bar/attributes":892,"./bin_attributes":1057,"./constants":1061}],1056:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=t.length,n=0,i=0;i<r;i++)e[i]?(t[i]/=e[i],n+=t[i]):t[i]=null;return n}},{}],1057:[function(t,e,r){"use strict";e.exports=function(t,e){return{start:{valType:"any",editType:"calc"},end:{valType:"any",editType:"calc"},size:{valType:"any",editType:"calc"},editType:"calc"}}},{}],1058:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports={count:function(t,e,r){return r[t]++,1},sum:function(t,e,r,i){var a=i[e];return n(a)?(a=Number(a),r[t]+=a,a):0},avg:function(t,e,r,i,a){var o=i[e];return n(o)&&(o=Number(o),r[t]+=o,a[t]++),0},min:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]>a){var o=a-r[t];return r[t]=a,o}}return 0},max:function(t,e,r,i){var a=i[e];if(n(a)){if(a=Number(a),!n(r[t]))return r[t]=a,a;if(r[t]<a){var o=a-r[t];return r[t]=a,o}}return 0}}},{"fast-isnumeric":241}],1059:[function(t,e,r){"use strict";var n=t("../../constants/numerical"),i=n.ONEAVGYEAR,a=n.ONEAVGMONTH,o=n.ONEDAY,s=n.ONEHOUR,l=n.ONEMIN,c=n.ONESEC,u=t("../../plots/cartesian/axes").tickIncrement;function h(t,e,r,n){if(t*e<=0)return 1/0;for(var i=Math.abs(e-t),a="date"===r.type,o=f(i,a),s=0;s<10;s++){var l=f(80*o,a);if(o===l)break;if(!p(l,t,e,a,r,n))break;o=l}return o}function f(t,e){return e&&t>c?t>o?t>1.1*i?i:t>1.1*a?a:o:t>s?s:t>l?l:c:Math.pow(10,Math.floor(Math.log(t)/Math.LN10))}function p(t,e,r,n,a,s){if(n&&t>o){var l=d(e,a,s),c=d(r,a,s),u=t===i?0:1;return l[u]!==c[u]}return Math.floor(r/t)-Math.floor(e/t)>.1}function d(t,e,r){var n=e.c2d(t,i,r).split("-");return""===n[0]&&(n.unshift(),n[0]="-"+n[0]),n}e.exports=function(t,e,r,n,a){var s,l,c=-1.1*e,f=-.1*e,p=t-f,d=r[0],g=r[1],m=Math.min(h(d+f,d+p,n,a),h(g+f,g+p,n,a)),v=Math.min(h(d+c,d+f,n,a),h(g+c,g+f,n,a));if(m>v&&v<Math.abs(g-d)/4e3?(s=m,l=!1):(s=Math.min(m,v),l=!0),"date"===n.type&&s>o){var y=s===i?1:6,x=s===i?"M12":"M1";return function(e,r){var o=n.c2d(e,i,a),s=o.indexOf("-",y);s>0&&(o=o.substr(0,s));var c=n.d2c(o,0,a);if(c<e){var h=u(c,x,!1,a);(c+h)/2<e+t&&(c=h)}return r&&l?u(c,x,!0,a):c}}return function(e,r){var n=s*Math.round(e/s);return n+s/10<e&&n+.9*s<e+t&&(n+=s),r&&l&&(n-=s),n}}},{"../../constants/numerical":725,"../../plots/cartesian/axes":799}],1060:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../bar/arrays_to_calcdata"),l=t("./bin_functions"),c=t("./norm_functions"),u=t("./average"),h=t("./bin_label_vals");function f(t,e,r,s,l){var c,u,h,p,d,g,m,v=s+"bins",y=t._fullLayout,x=e["_"+s+"bingroup"],b=y._histogramBinOpts[x],_="overlay"===y.barmode,w=function(t){return r.r2c(t,0,p)},T=function(t){return r.c2r(t,0,p)},k="date"===r.type?function(t){return t||0===t?i.cleanDate(t,null,p):null}:function(t){return n(t)?Number(t):null};function M(t,e,r){e[t+"Found"]?(e[t]=k(e[t]),null===e[t]&&(e[t]=r[t])):(g[t]=e[t]=r[t],i.nestedProperty(u[0],v+"."+t).set(r[t]))}if(e["_"+s+"autoBinFinished"])delete e["_"+s+"autoBinFinished"];else{u=b.traces;var A=[],S=!0,E=!1,C=!1;for(c=0;c<u.length;c++)if((h=u[c]).visible){var L=b.dirs[c];d=h["_"+L+"pos0"]=r.makeCalcdata(h,L),A=i.concat(A,d),delete h["_"+s+"autoBinFinished"],!0===e.visible&&(S?S=!1:(delete h._autoBin,h["_"+s+"autoBinFinished"]=1),a.traceIs(h,"2dMap")&&(E=!0),"histogram2dcontour"===h.type&&(C=!0))}p=u[0][s+"calendar"];var P=o.autoBin(A,r,b.nbins,E,p,b.sizeFound&&b.size),I=u[0]._autoBin={};if(g=I[b.dirs[0]]={},C&&(b.size||(P.start=T(o.tickIncrement(w(P.start),P.size,!0,p))),void 0===b.end&&(P.end=T(o.tickIncrement(w(P.end),P.size,!1,p)))),_&&!a.traceIs(e,"2dMap")&&0===P._dataSpan&&"category"!==r.type&&"multicategory"!==r.type){if(l)return[P,d,!0];P=function(t,e,r,n,a){var o,s,l,c=t._fullLayout,u=function(t,e){for(var r=e.xaxis,n=e.yaxis,i=e.orientation,a=[],o=t._fullData,s=0;s<o.length;s++){var l=o[s];"histogram"===l.type&&!0===l.visible&&l.orientation===i&&l.xaxis===r&&l.yaxis===n&&a.push(l)}return a}(t,e),h=!1,p=1/0,d=[e];for(o=0;o<u.length;o++)if((s=u[o])===e)h=!0;else if(h){var g=f(t,s,r,n,!0),m=g[0],v=g[2];s["_"+n+"autoBinFinished"]=1,s["_"+n+"pos0"]=g[1],v?d.push(s):p=Math.min(p,m.size)}else l=c._histogramBinOpts[s["_"+n+"bingroup"]],p=Math.min(p,l.size||s[a].size);var y=new Array(d.length);for(o=0;o<d.length;o++)for(var x=d[o]["_"+n+"pos0"],b=0;b<x.length;b++)if(void 0!==x[b]){y[o]=x[b];break}isFinite(p)||(p=i.distinctVals(y).minDiff);for(o=0;o<d.length;o++){var _=(s=d[o])[n+"calendar"],w={start:r.c2r(y[o]-p/2,0,_),end:r.c2r(y[o]+p/2,0,_),size:p};s._input[a]=s[a]=w,(l=c._histogramBinOpts[s["_"+n+"bingroup"]])&&i.extendFlat(l,w)}return e[a]}(t,e,r,s,v)}(m=h.cumulative||{}).enabled&&"include"!==m.currentbin&&("decreasing"===m.direction?P.start=T(o.tickIncrement(w(P.start),P.size,!0,p)):P.end=T(o.tickIncrement(w(P.end),P.size,!1,p))),b.size=P.size,b.sizeFound||(g.size=P.size,i.nestedProperty(u[0],v+".size").set(P.size)),M("start",b,P),M("end",b,P)}d=e["_"+s+"pos0"],delete e["_"+s+"pos0"];var z=e._input[v]||{},O=i.extendFlat({},b),D=b.start,R=r.r2l(z.start),F=void 0!==R;if((b.startFound||F)&&R!==r.r2l(D)){var B=F?R:i.aggNums(Math.min,null,d),N={type:"category"===r.type||"multicategory"===r.type?"linear":r.type,r2l:r.r2l,dtick:b.size,tick0:D,calendar:p,range:[B,o.tickIncrement(B,b.size,!1,p)].map(r.l2r)},j=o.tickFirst(N);j>r.r2l(B)&&(j=o.tickIncrement(j,b.size,!0,p)),O.start=r.l2r(j),F||i.nestedProperty(e,v+".start").set(O.start)}var U=b.end,V=r.r2l(z.end),q=void 0!==V;if((b.endFound||q)&&V!==r.r2l(U)){var H=q?V:i.aggNums(Math.max,null,d);O.end=r.l2r(H),q||i.nestedProperty(e,v+".start").set(O.end)}var G="autobin"+s;return!1===e._input[G]&&(e._input[v]=i.extendFlat({},e[v]||{}),delete e._input[G],delete e[G]),[O,d]}e.exports={calc:function(t,e){var r,a,p,d,g=[],m=[],v=o.getFromId(t,"h"===e.orientation?e.yaxis:e.xaxis),y="h"===e.orientation?"y":"x",x={x:"y",y:"x"}[y],b=e[y+"calendar"],_=e.cumulative,w=f(t,e,v,y),T=w[0],k=w[1],M="string"==typeof T.size,A=[],S=M?A:T,E=[],C=[],L=[],P=0,I=e.histnorm,z=e.histfunc,O=-1!==I.indexOf("density");_.enabled&&O&&(I=I.replace(/ ?density$/,""),O=!1);var D,R="max"===z||"min"===z?null:0,F=l.count,B=c[I],N=!1,j=function(t){return v.r2c(t,0,b)};for(i.isArrayOrTypedArray(e[x])&&"count"!==z&&(D=e[x],N="avg"===z,F=l[z]),r=j(T.start),p=j(T.end)+(r-o.tickIncrement(r,T.size,!1,b))/1e6;r<p&&g.length<1e6&&(a=o.tickIncrement(r,T.size,!1,b),g.push((r+a)/2),m.push(R),L.push([]),A.push(r),O&&E.push(1/(a-r)),N&&C.push(0),!(a<=r));)r=a;A.push(r),M||"date"!==v.type||(S={start:j(S.start),end:j(S.end),size:S.size}),t._fullLayout._roundFnOpts||(t._fullLayout._roundFnOpts={});var U=e["_"+y+"bingroup"],V={leftGap:1/0,rightGap:1/0};U&&(t._fullLayout._roundFnOpts[U]||(t._fullLayout._roundFnOpts[U]=V),V=t._fullLayout._roundFnOpts[U]);var q,H=m.length,G=!0,Y=V.leftGap,W=V.rightGap,Z={};for(r=0;r<k.length;r++){var X=k[r];(d=i.findBin(X,S))>=0&&d<H&&(P+=F(d,r,m,D,C),G&&L[d].length&&X!==k[L[d][0]]&&(G=!1),L[d].push(r),Z[r]=d,Y=Math.min(Y,X-A[d]),W=Math.min(W,A[d+1]-X))}V.leftGap=Y,V.rightGap=W,G||(q=function(e,r){return function(){var n=t._fullLayout._roundFnOpts[U];return h(n.leftGap,n.rightGap,A,v,b)(e,r)}}),N&&(P=u(m,C)),B&&B(m,P,E),_.enabled&&function(t,e,r){var n,i,a;function o(e){a=t[e],t[e]/=2}function s(e){i=t[e],t[e]=a+i/2,a+=i}if("half"===r)if("increasing"===e)for(o(0),n=1;n<t.length;n++)s(n);else for(o(t.length-1),n=t.length-2;n>=0;n--)s(n);else if("increasing"===e){for(n=1;n<t.length;n++)t[n]+=t[n-1];"exclude"===r&&(t.unshift(0),t.pop())}else{for(n=t.length-2;n>=0;n--)t[n]+=t[n+1];"exclude"===r&&(t.push(0),t.shift())}}(m,_.direction,_.currentbin);var J=Math.min(g.length,m.length),K=[],Q=0,$=J-1;for(r=0;r<J;r++)if(m[r]){Q=r;break}for(r=J-1;r>=Q;r--)if(m[r]){$=r;break}for(r=Q;r<=$;r++)if(n(g[r])&&n(m[r])){var tt={p:g[r],s:m[r],b:0};_.enabled||(tt.pts=L[r],G?tt.ph0=tt.ph1=L[r].length?k[L[r][0]]:g[r]:(e._computePh=!0,tt.ph0=q(A[r]),tt.ph1=q(A[r+1],!0))),K.push(tt)}return 1===K.length&&(K[0].width1=o.tickIncrement(K[0].p,T.size,!1,b)-K[0].p),s(K,e),i.isArrayOrTypedArray(e.selectedpoints)&&i.tagSelected(K,e,Z),K},calcAllAutoBins:f}},{"../../lib":750,"../../plots/cartesian/axes":799,"../../registry":882,"../bar/arrays_to_calcdata":891,"./average":1056,"./bin_functions":1058,"./bin_label_vals":1059,"./norm_functions":1067,"fast-isnumeric":241}],1061:[function(t,e,r){"use strict";e.exports={eventDataKeys:["binNumber"]}},{}],1062:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axis_ids"),a=t("../../registry").traceIs,o=t("../bar/defaults").handleGroupingDefaults,s=n.nestedProperty,l=i.getAxisGroup,c=[{aStr:{x:"xbins.start",y:"ybins.start"},name:"start"},{aStr:{x:"xbins.end",y:"ybins.end"},name:"end"},{aStr:{x:"xbins.size",y:"ybins.size"},name:"size"},{aStr:{x:"nbinsx",y:"nbinsy"},name:"nbins"}],u=["x","y"];e.exports=function(t,e){var r,h,f,p,d,g,m,v=e._histogramBinOpts={},y=[],x={},b=[];function _(t,e){return n.coerce(r._input,r,r._module.attributes,t,e)}function w(t){return"v"===t.orientation?"x":"y"}function T(t,r,a){var o=t.uid+"__"+a;r||(r=o);var s=function(t,r){return i.getFromTrace({_fullLayout:e},t,r).type}(t,a),l=t[a+"calendar"]||"",c=v[r],u=!0;c&&(s===c.axType&&l===c.calendar?(u=!1,c.traces.push(t),c.dirs.push(a)):(r=o,s!==c.axType&&n.warn(["Attempted to group the bins of trace",t.index,"set on a","type:"+s,"axis","with bins on","type:"+c.axType,"axis."].join(" ")),l!==c.calendar&&n.warn(["Attempted to group the bins of trace",t.index,"set with a",l,"calendar","with bins",c.calendar?"on a "+c.calendar+" calendar":"w/o a set calendar"].join(" ")))),u&&(v[r]={traces:[t],dirs:[a],axType:s,calendar:t[a+"calendar"]||""}),t["_"+a+"bingroup"]=r}for(d=0;d<t.length;d++)r=t[d],a(r,"histogram")&&(y.push(r),delete r._xautoBinFinished,delete r._yautoBinFinished,a(r,"2dMap")||o(r._input,r,e,_));var k=e._alignmentOpts||{};for(d=0;d<y.length;d++){if(r=y[d],f="",!a(r,"2dMap")){if(p=w(r),"group"===e.barmode&&r.alignmentgroup){var M=r[p+"axis"],A=l(e,M)+r.orientation;(k[A]||{})[r.alignmentgroup]&&(f=A)}f||"overlay"===e.barmode||(f=l(e,r.xaxis)+l(e,r.yaxis)+w(r))}f?(x[f]||(x[f]=[]),x[f].push(r)):b.push(r)}for(f in x)if(1!==(h=x[f]).length){var S=!1;for(d=0;d<h.length;d++){r=h[d],S=_("bingroup");break}for(f=S||f,d=0;d<h.length;d++){var E=(r=h[d])._input.bingroup;E&&E!==f&&n.warn(["Trace",r.index,"must match","within bingroup",f+".","Ignoring its bingroup:",E,"setting."].join(" ")),r.bingroup=f,T(r,f,w(r))}}else b.push(h[0]);for(d=0;d<b.length;d++){r=b[d];var C=_("bingroup");if(a(r,"2dMap"))for(m=0;m<2;m++){var L=_((p=u[m])+"bingroup",C?C+"__"+p:null);T(r,L,p)}else T(r,C,w(r))}for(f in v){var P=v[f];for(h=P.traces,g=0;g<c.length;g++){var I,z,O=c[g],D=O.name;if("nbins"!==D||!P.sizeFound){for(d=0;d<h.length;d++){if(r=h[d],p=P.dirs[d],I=O.aStr[p],void 0!==s(r._input,I).get()){P[D]=_(I),P[D+"Found"]=!0;break}(z=(r._autoBin||{})[p]||{})[D]&&s(r,I).set(z[D])}if("start"===D||"end"===D)for(;d<h.length;d++)(r=h[d])["_"+p+"bingroup"]&&_(I,(z=(r._autoBin||{})[p]||{})[D]);"nbins"!==D||P.sizeFound||P.nbinsFound||(r=h[0],P[D]=_(I))}}}}},{"../../lib":750,"../../plots/cartesian/axis_ids":802,"../../registry":882,"../bar/defaults":896}],1063:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../components/color"),o=t("../bar/style_defaults"),s=t("./attributes");e.exports=function(t,e,r,l){function c(r,n){return i.coerce(t,e,s,r,n)}var u=c("x"),h=c("y");c("cumulative.enabled")&&(c("cumulative.direction"),c("cumulative.currentbin")),c("text"),c("hovertext"),c("hovertemplate");var f=c("orientation",h&&!u?"h":"v"),p="v"===f?"x":"y",d="v"===f?"y":"x",g=u&&h?Math.min(i.minRowLength(u)&&i.minRowLength(h)):i.minRowLength(e[p]||[]);if(g){e._length=g,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],l),e[d]&&c("histfunc"),c("histnorm"),c("autobin"+p),o(t,e,c,r,l),i.coerceSelectionMarkerOpacity(e,c);var m=(e.marker.line||{}).color,v=n.getComponentMethod("errorbars","supplyDefaults");v(t,e,m||a.defaultLine,{axis:"y"}),v(t,e,m||a.defaultLine,{axis:"x",inherit:"y"})}else e.visible=!1}},{"../../components/color":615,"../../lib":750,"../../registry":882,"../bar/style_defaults":907,"./attributes":1055}],1064:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){if(t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,"zLabelVal"in e&&(t.z=e.zLabelVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),!(r.cumulative||{}).enabled){var a,o=Array.isArray(i)?n[0].pts[i[0]][i[1]]:n[i].pts;if(t.pointNumbers=o,t.binNumber=t.pointNumber,delete t.pointNumber,delete t.pointIndex,r._indexToPoints){a=[];for(var s=0;s<o.length;s++)a=a.concat(r._indexToPoints[o[s]])}else a=o;t.pointIndices=a}return t}},{}],1065:[function(t,e,r){"use strict";var n=t("../bar/hover").hoverPoints,i=t("../../plots/cartesian/axes").hoverLabelText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o){var s=(t=o[0]).cd[t.index],l=t.cd[0].trace;if(!l.cumulative.enabled){var c="h"===l.orientation?"y":"x";t[c+"Label"]=i(t[c+"a"],s.ph0,s.ph1)}return o}}},{"../../plots/cartesian/axes":799,"../bar/hover":899}],1066:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("../bar/layout_attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),supplyLayoutDefaults:t("../bar/layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("../bar/cross_trace_calc").crossTraceCalc,plot:t("../bar/plot").plot,layerName:"barlayer",style:t("../bar/style").style,styleOnSelect:t("../bar/style").styleOnSelect,colorbar:t("../scatter/marker_colorbar"),hoverPoints:t("./hover"),selectPoints:t("../bar/select"),eventData:t("./event_data"),moduleType:"trace",name:"histogram",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","bar","histogram","oriented","errorBarsOK","showLegend"],meta:{}}},{"../../plots/cartesian":812,"../bar/cross_trace_calc":895,"../bar/layout_attributes":901,"../bar/layout_defaults":902,"../bar/plot":903,"../bar/select":904,"../bar/style":906,"../scatter/marker_colorbar":1176,"./attributes":1055,"./calc":1060,"./cross_trace_defaults":1062,"./defaults":1063,"./event_data":1064,"./hover":1065}],1067:[function(t,e,r){"use strict";e.exports={percent:function(t,e){for(var r=t.length,n=100/e,i=0;i<r;i++)t[i]*=n},probability:function(t,e){for(var r=t.length,n=0;n<r;n++)t[n]/=e},density:function(t,e,r,n){var i=t.length;n=n||1;for(var a=0;a<i;a++)t[a]*=r[a]*n},"probability density":function(t,e,r,n){var i=t.length;n&&(e/=n);for(var a=0;a<i;a++)t[a]*=r[a]/e}}},{}],1068:[function(t,e,r){"use strict";var n=t("../histogram/attributes"),i=t("../histogram/bin_attributes"),a=t("../heatmap/attributes"),o=t("../../plots/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../components/colorscale/attributes"),c=t("../../lib/extend").extendFlat;e.exports=c({x:n.x,y:n.y,z:{valType:"data_array",editType:"calc"},marker:{color:{valType:"data_array",editType:"calc"},editType:"calc"},histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:i("x"),nbinsy:n.nbinsy,ybins:i("y"),autobinx:n.autobinx,autobiny:n.autobiny,bingroup:c({},n.bingroup,{}),xbingroup:c({},n.bingroup,{}),ybingroup:c({},n.bingroup,{}),xgap:a.xgap,ygap:a.ygap,zsmooth:a.zsmooth,zhoverformat:a.zhoverformat,hovertemplate:s({},{keys:"z"}),showlegend:c({},o.showlegend,{dflt:!1})},l("",{cLetter:"z",autoColorDflt:!1}))},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../heatmap/attributes":1036,"../histogram/attributes":1055,"../histogram/bin_attributes":1057}],1069:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../histogram/bin_functions"),o=t("../histogram/norm_functions"),s=t("../histogram/average"),l=t("../histogram/bin_label_vals"),c=t("../histogram/calc").calcAllAutoBins;function u(t,e,r,n){var i,a=new Array(t);if(n)for(i=0;i<t;i++)a[i]=1/(e[i+1]-e[i]);else{var o=1/r;for(i=0;i<t;i++)a[i]=o}return a}function h(t,e){return{start:t(e.start),end:t(e.end),size:e.size}}function f(t,e,r,n,i,a){var o,s=t.length-1,c=new Array(s),u=l(r,n,t,i,a);for(o=0;o<s;o++){var h=(e||[])[o];c[o]=void 0===h?[u(t[o]),u(t[o+1],!0)]:[h,h]}return c}e.exports=function(t,e){var r,l,p,d,g=i.getFromId(t,e.xaxis),m=i.getFromId(t,e.yaxis),v=e.xcalendar,y=e.ycalendar,x=function(t){return g.r2c(t,0,v)},b=function(t){return m.r2c(t,0,y)},_=c(t,e,g,"x"),w=_[0],T=_[1],k=c(t,e,m,"y"),M=k[0],A=k[1],S=e._length;T.length>S&&T.splice(S,T.length-S),A.length>S&&A.splice(S,A.length-S);var E=[],C=[],L=[],P="string"==typeof w.size,I="string"==typeof M.size,z=[],O=[],D=P?z:w,R=I?O:M,F=0,B=[],N=[],j=e.histnorm,U=e.histfunc,V=-1!==j.indexOf("density"),q="max"===U||"min"===U?null:0,H=a.count,G=o[j],Y=!1,W=[],Z=[],X="z"in e?e.z:"marker"in e&&Array.isArray(e.marker.color)?e.marker.color:"";X&&"count"!==U&&(Y="avg"===U,H=a[U]);var J=w.size,K=x(w.start),Q=x(w.end)+(K-i.tickIncrement(K,J,!1,v))/1e6;for(r=K;r<Q;r=i.tickIncrement(r,J,!1,v))C.push(q),z.push(r),Y&&L.push(0);z.push(r);var $,tt=C.length,et=(r-K)/tt,rt=($=K+et/2,g.c2r($,0,v)),nt=M.size,it=b(M.start),at=b(M.end)+(it-i.tickIncrement(it,nt,!1,y))/1e6;for(r=it;r<at;r=i.tickIncrement(r,nt,!1,y)){E.push(C.slice()),O.push(r);var ot=new Array(tt);for(l=0;l<tt;l++)ot[l]=[];N.push(ot),Y&&B.push(L.slice())}O.push(r);var st=E.length,lt=(r-it)/st,ct=function(t){return m.c2r(t,0,y)}(it+lt/2);V&&(W=u(C.length,D,et,P),Z=u(E.length,R,lt,I)),P||"date"!==g.type||(D=h(x,D)),I||"date"!==m.type||(R=h(b,R));var ut=!0,ht=!0,ft=new Array(tt),pt=new Array(st),dt=1/0,gt=1/0,mt=1/0,vt=1/0;for(r=0;r<S;r++){var yt=T[r],xt=A[r];p=n.findBin(yt,D),d=n.findBin(xt,R),p>=0&&p<tt&&d>=0&&d<st&&(F+=H(p,r,E[d],X,B[d]),N[d][p].push(r),ut&&(void 0===ft[p]?ft[p]=yt:ft[p]!==yt&&(ut=!1)),ht&&(void 0===pt[d]?pt[d]=xt:pt[d]!==xt&&(ht=!1)),dt=Math.min(dt,yt-z[p]),gt=Math.min(gt,z[p+1]-yt),mt=Math.min(mt,xt-O[d]),vt=Math.min(vt,O[d+1]-xt))}if(Y)for(d=0;d<st;d++)F+=s(E[d],B[d]);if(G)for(d=0;d<st;d++)G(E[d],F,W,Z[d]);return{x:T,xRanges:f(z,ut&&ft,dt,gt,g,v),x0:rt,dx:et,y:A,yRanges:f(O,ht&&pt,mt,vt,m,y),y0:ct,dy:lt,z:E,pts:N}}},{"../../lib":750,"../../plots/cartesian/axes":799,"../histogram/average":1056,"../histogram/bin_functions":1058,"../histogram/bin_label_vals":1059,"../histogram/calc":1060,"../histogram/norm_functions":1067}],1070:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./sample_defaults"),a=t("../heatmap/style_defaults"),o=t("../../components/colorscale/defaults"),s=t("./attributes");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,s,r,i)}i(t,e,c,l),!1!==e.visible&&(a(t,e,c,l),o(t,e,l,c,{prefix:"",cLetter:"z"}),c("hovertemplate"))}},{"../../components/colorscale/defaults":625,"../../lib":750,"../heatmap/style_defaults":1049,"./attributes":1068,"./sample_defaults":1073}],1071:[function(t,e,r){"use strict";var n=t("../heatmap/hover"),i=t("../../plots/cartesian/axes").hoverLabelText;e.exports=function(t,e,r,a,o,s){var l=n(t,e,r,a,o,s);if(l){var c=(t=l[0]).index,u=c[0],h=c[1],f=t.cd[0],p=f.xRanges[h],d=f.yRanges[u];return t.xLabel=i(t.xa,p[0],p[1]),t.yLabel=i(t.ya,d[0],d[1]),l}}},{"../../plots/cartesian/axes":799,"../heatmap/hover":1043}],1072:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../histogram/cross_trace_defaults"),calc:t("../heatmap/calc"),plot:t("../heatmap/plot"),layerName:"heatmaplayer",colorbar:t("../heatmap/colorbar"),style:t("../heatmap/style"),hoverPoints:t("./hover"),eventData:t("../histogram/event_data"),moduleType:"trace",name:"histogram2d",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","histogram","showLegend"],meta:{}}},{"../../plots/cartesian":812,"../heatmap/calc":1037,"../heatmap/colorbar":1039,"../heatmap/plot":1047,"../heatmap/style":1048,"../histogram/cross_trace_defaults":1062,"../histogram/event_data":1064,"./attributes":1068,"./defaults":1070,"./hover":1071}],1073:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports=function(t,e,r,a){var o=r("x"),s=r("y"),l=i.minRowLength(o),c=i.minRowLength(s);l&&c?(e._length=Math.min(l,c),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],a),(r("z")||r("marker.color"))&&r("histfunc"),r("histnorm"),r("autobinx"),r("autobiny")):e.visible=!1}},{"../../lib":750,"../../registry":882}],1074:[function(t,e,r){"use strict";var n=t("../histogram2d/attributes"),i=t("../contour/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat;e.exports=o({x:n.x,y:n.y,z:n.z,marker:n.marker,histnorm:n.histnorm,histfunc:n.histfunc,nbinsx:n.nbinsx,xbins:n.xbins,nbinsy:n.nbinsy,ybins:n.ybins,autobinx:n.autobinx,autobiny:n.autobiny,bingroup:n.bingroup,xbingroup:n.xbingroup,ybingroup:n.ybingroup,autocontour:i.autocontour,ncontours:i.ncontours,contours:i.contours,line:{color:i.line.color,width:o({},i.line.width,{dflt:.5}),dash:i.line.dash,smoothing:i.line.smoothing,editType:"plot"},zhoverformat:n.zhoverformat,hovertemplate:n.hovertemplate},a("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../contour/attributes":979,"../histogram2d/attributes":1068}],1075:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../histogram2d/sample_defaults"),a=t("../contour/contours_defaults"),o=t("../contour/style_defaults"),s=t("./attributes");e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,s,r,i)}i(t,e,c,l),!1!==e.visible&&(a(t,e,c,(function(r){return n.coerce2(t,e,s,r)})),o(t,e,c,l),c("hovertemplate"))}},{"../../lib":750,"../contour/contours_defaults":986,"../contour/style_defaults":1e3,"../histogram2d/sample_defaults":1073,"./attributes":1074}],1076:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../histogram/cross_trace_defaults"),calc:t("../contour/calc"),plot:t("../contour/plot").plot,layerName:"contourlayer",style:t("../contour/style"),colorbar:t("../contour/colorbar"),hoverPoints:t("../contour/hover"),moduleType:"trace",name:"histogram2dcontour",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","contour","histogram","showLegend"],meta:{}}},{"../../plots/cartesian":812,"../contour/calc":980,"../contour/colorbar":982,"../contour/hover":992,"../contour/plot":997,"../contour/style":999,"../histogram/cross_trace_defaults":1062,"./attributes":1074,"./defaults":1075}],1077:[function(t,e,r){"use strict";for(var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../lib/extend").extendFlat,o=t("./constants").colormodel,s=["rgb","rgba","rgba256","hsl","hsla"],l=[],c=[],u=0;u<s.length;u++){var h=o[s[u]];l.push("For the `"+s[u]+"` colormodel, it is ["+(h.zminDflt||h.min).join(", ")+"]."),c.push("For the `"+s[u]+"` colormodel, it is ["+(h.zmaxDflt||h.max).join(", ")+"].")}e.exports=a({source:{valType:"string",editType:"calc"},z:{valType:"data_array",editType:"calc"},colormodel:{valType:"enumerated",values:s,editType:"calc"},zmin:{valType:"info_array",items:[{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"}],editType:"calc"},zmax:{valType:"info_array",items:[{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"},{valType:"number",editType:"calc"}],editType:"calc"},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dx:{valType:"number",dflt:1,editType:"calc"},dy:{valType:"number",dflt:1,editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"data_array",editType:"plot"},hoverinfo:a({},n.hoverinfo,{flags:["x","y","z","color","name","text"],dflt:"x+y+z+text+name"}),hovertemplate:i({},{keys:["z","color","colormodel"]}),transforms:void 0})},{"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"./constants":1079}],1078:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./constants"),a=t("fast-isnumeric"),o=t("../../plots/cartesian/axes"),s=t("../../lib").maxRowLength,l=t("./helpers").getImageSize;function c(t,e,r,i){return function(a){return n.constrain((a-t)*e,r,i)}}function u(t,e){return function(r){return n.constrain(r,t,e)}}e.exports=function(t,e){var r,n;if(e._hasZ)r=e.z.length,n=s(e.z);else if(e._hasSource){var h=l(e.source);r=h.height,n=h.width}var f,p=o.getFromId(t,e.xaxis||"x"),d=o.getFromId(t,e.yaxis||"y"),g=p.d2c(e.x0)-e.dx/2,m=d.d2c(e.y0)-e.dy/2,v=[g,g+n*e.dx],y=[m,m+r*e.dy];if(p&&"log"===p.type)for(f=0;f<n;f++)v.push(g+f*e.dx);if(d&&"log"===d.type)for(f=0;f<r;f++)y.push(m+f*e.dy);return e._extremes[p._id]=o.findExtremes(p,v),e._extremes[d._id]=o.findExtremes(d,y),e._scaler=function(t){var e=i.colormodel[t.colormodel],r=(e.colormodel||t.colormodel).length;t._sArray=[];for(var n=0;n<r;n++)e.min[n]!==t.zmin[n]||e.max[n]!==t.zmax[n]?t._sArray.push(c(t.zmin[n],(e.max[n]-e.min[n])/(t.zmax[n]-t.zmin[n]),e.min[n],e.max[n])):t._sArray.push(u(e.min[n],e.max[n]));return function(e){for(var n=e.slice(0,r),i=0;i<r;i++){var o=n[i];if(!a(o))return!1;n[i]=t._sArray[i](o)}return n}}(e),[{x0:g,y0:m,z:e.z,w:n,h:r}]}},{"../../lib":750,"../../plots/cartesian/axes":799,"./constants":1079,"./helpers":1082,"fast-isnumeric":241}],1079:[function(t,e,r){"use strict";e.exports={colormodel:{rgb:{min:[0,0,0],max:[255,255,255],fmt:function(t){return t.slice(0,3)},suffix:["","",""]},rgba:{min:[0,0,0,0],max:[255,255,255,1],fmt:function(t){return t.slice(0,4)},suffix:["","","",""]},rgba256:{colormodel:"rgba",zminDflt:[0,0,0,0],zmaxDflt:[255,255,255,255],min:[0,0,0,0],max:[255,255,255,1],fmt:function(t){return t.slice(0,4)},suffix:["","","",""]},hsl:{min:[0,0,0],max:[360,100,100],fmt:function(t){var e=t.slice(0,3);return e[1]=e[1]+"%",e[2]=e[2]+"%",e},suffix:["\xb0","%","%"]},hsla:{min:[0,0,0,0],max:[360,100,100,1],fmt:function(t){var e=t.slice(0,4);return e[1]=e[1]+"%",e[2]=e[2]+"%",e},suffix:["\xb0","%","%",""]}}}},{}],1080:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./constants"),o=t("../../snapshot/helpers").IMAGE_URL_PREFIX;e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("source"),e.source&&!e.source.match(o)&&delete e.source,e._hasSource=!!e.source;var s,l=r("z");(e._hasZ=!(void 0===l||!l.length||!l[0]||!l[0].length),e._hasZ||e._hasSource)?(r("x0"),r("y0"),r("dx"),r("dy"),e._hasZ?(r("colormodel","rgb"),r("zmin",(s=a.colormodel[e.colormodel]).zminDflt||s.min),r("zmax",s.zmaxDflt||s.max)):e._hasSource&&(e.colormodel="rgba256",s=a.colormodel[e.colormodel],e.zmin=s.zminDflt,e.zmax=s.zmaxDflt),r("text"),r("hovertext"),r("hovertemplate"),e._length=null):e.visible=!1}},{"../../lib":750,"../../snapshot/helpers":886,"./attributes":1077,"./constants":1079}],1081:[function(t,e,r){"use strict";e.exports=function(t,e){return"xVal"in e&&(t.x=e.xVal),"yVal"in e&&(t.y=e.yVal),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t.color=e.color,t.colormodel=e.trace.colormodel,t.z||(t.z=e.color),t}},{}],1082:[function(t,e,r){"use strict";var n=t("image-size"),i=t("../../snapshot/helpers").IMAGE_URL_PREFIX,a=t("buffer/").Buffer;r.getImageSize=function(t){var e=t.replace(i,""),r=new a(e,"base64");return n(r)}},{"../../snapshot/helpers":886,"buffer/":111,"image-size":418}],1083:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("./constants");e.exports=function(t,e,r){var o=t.cd[0],s=o.trace,l=t.xa,c=t.ya;if(!(n.inbox(e-o.x0,e-(o.x0+o.w*s.dx),0)>0||n.inbox(r-o.y0,r-(o.y0+o.h*s.dy),0)>0)){var u,h=Math.floor((e-o.x0)/s.dx),f=Math.floor(Math.abs(r-o.y0)/s.dy);if(s._hasZ?u=o.z[f][h]:s._hasSource&&(u=s._canvas.el.getContext("2d").getImageData(h,f,1,1).data),u){var p,d=o.hi||s.hoverinfo;if(d){var g=d.split("+");-1!==g.indexOf("all")&&(g=["color"]),-1!==g.indexOf("color")&&(p=!0)}var m,v=a.colormodel[s.colormodel],y=v.colormodel||s.colormodel,x=y.length,b=s._scaler(u),_=v.suffix,w=[];(s.hovertemplate||p)&&(w.push("["+[b[0]+_[0],b[1]+_[1],b[2]+_[2]].join(", ")),4===x&&w.push(", "+b[3]+_[3]),w.push("]"),w=w.join(""),t.extraText=y.toUpperCase()+": "+w),Array.isArray(s.hovertext)&&Array.isArray(s.hovertext[f])?m=s.hovertext[f][h]:Array.isArray(s.text)&&Array.isArray(s.text[f])&&(m=s.text[f][h]);var T=c.c2p(o.y0+(f+.5)*s.dy),k=o.x0+(h+.5)*s.dx,M=o.y0+(f+.5)*s.dy,A="["+u.slice(0,s.colormodel.length).join(", ")+"]";return[i.extendFlat(t,{index:[f,h],x0:l.c2p(o.x0+h*s.dx),x1:l.c2p(o.x0+(h+1)*s.dx),y0:T,y1:T,color:b,xVal:k,xLabelVal:k,yVal:M,yLabelVal:M,zLabelVal:A,text:m,hovertemplateLabels:{zLabel:A,colorLabel:w,"color[0]Label":b[0]+_[0],"color[1]Label":b[1]+_[1],"color[2]Label":b[2]+_[2],"color[3]Label":b[3]+_[3]}})]}}}},{"../../components/fx":655,"../../lib":750,"./constants":1079}],1084:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover"),eventData:t("./event_data"),moduleType:"trace",name:"image",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","2dMap","noSortingByValue"],animatable:!1,meta:{}}},{"../../plots/cartesian":812,"./attributes":1077,"./calc":1078,"./defaults":1080,"./event_data":1081,"./hover":1083,"./plot":1085,"./style":1086}],1085:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../constants/xmlns_namespaces"),o=t("./constants"),s=i.isIOS()||i.isSafari()||i.isIE();function l(t){return"linear"===t.type&&t.range[1]>t.range[0]==("x"===t._id.charAt(0))}e.exports=function(t,e,r,c){var u=e.xaxis,h=e.yaxis,f=!(s||t._context._exportedPlot);i.makeTraceGroups(c,r,"im").each((function(e){var r=n.select(this),s=e[0],c=s.trace,p=f&&!c._hasZ&&c._hasSource&&l(u)&&l(h);c._fastImage=p;var d,g,m,v,y,x,b=s.z,_=s.x0,w=s.y0,T=s.w,k=s.h,M=c.dx,A=c.dy;for(x=0;void 0===d&&x<T;)d=u.c2p(_+x*M),x++;for(x=T;void 0===g&&x>0;)g=u.c2p(_+x*M),x--;for(x=0;void 0===v&&x<k;)v=h.c2p(w+x*A),x++;for(x=k;void 0===y&&x>0;)y=h.c2p(w+x*A),x--;if(g<d&&(m=g,g=d,d=m),y<v&&(m=v,v=y,y=m),!p){d=Math.max(-.5*u._length,d),g=Math.min(1.5*u._length,g),v=Math.max(-.5*h._length,v),y=Math.min(1.5*h._length,y)}var S=Math.round(g-d),E=Math.round(y-v);if(S<=0||E<=0){r.selectAll("image").data([]).exit().remove()}else{var C=r.selectAll("image").data([e]);C.enter().append("svg:image").attr({xmlns:a.svg,preserveAspectRatio:"none"}),C.exit().remove(),C.attr("style","image-rendering: optimizeSpeed; image-rendering: -moz-crisp-edges; image-rendering: -o-crisp-edges; image-rendering: -webkit-optimize-contrast; image-rendering: optimize-contrast; image-rendering: crisp-edges; image-rendering: pixelated;");var L=new Promise((function(t){if(c._hasZ)t();else if(c._hasSource)if(c._canvas&&c._canvas.el.width===T&&c._canvas.el.height===k&&c._canvas.source===c.source)t();else{var e=document.createElement("canvas");e.width=T,e.height=k;var r=e.getContext("2d");c._image=c._image||new Image;var n=c._image;n.onload=function(){r.drawImage(n,0,0),c._canvas={el:e,source:c.source},t()},n.setAttribute("src",c.source)}})).then((function(){var t;if(c._hasZ)t=P((function(t,e){return b[e][t]})).toDataURL("image/png");else if(c._hasSource)if(p)t=c.source;else{var e=c._canvas.el.getContext("2d").getImageData(0,0,T,k).data;t=P((function(t,r){var n=4*(r*T+t);return[e[n],e[n+1],e[n+2],e[n+3]]})).toDataURL("image/png")}C.attr({"xlink:href":t,height:E,width:S,x:d,y:v})}));t._promises.push(L)}function P(t){var e=document.createElement("canvas");e.width=S,e.height=E;var r,n=e.getContext("2d"),a=function(t){return i.constrain(Math.round(u.c2p(_+t*M)-d),0,S)},l=function(t){return i.constrain(Math.round(h.c2p(w+t*A)-v),0,E)},f=o.colormodel[c.colormodel],p=f.colormodel||c.colormodel,g=f.fmt;for(x=0;x<s.w;x++){var m=a(x),y=a(x+1);if(y!==m&&!isNaN(y)&&!isNaN(m))for(var b=0;b<s.h;b++){var T=l(b),k=l(b+1);k===T||isNaN(k)||isNaN(T)||!t(x,b)||(r=c._scaler(t(x,b)),n.fillStyle=r?p+"("+g(r).join(",")+")":"rgba(0,0,0,0)",n.fillRect(m,T,y-m,k-T))}}return e}}))}},{"../../constants/xmlns_namespaces":726,"../../lib":750,"./constants":1079,d3:169}],1086:[function(t,e,r){"use strict";var n=t("d3");e.exports=function(t){n.select(t).selectAll(".im image").style("opacity",(function(t){return t[0].trace.opacity}))}},{d3:169}],1087:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../lib/extend").extendDeep,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../components/color/attributes"),l=t("../../plots/domain").attributes,c=t("../../plots/cartesian/layout_attributes"),u=t("../../plot_api/plot_template").templatedArray,h=t("../../constants/delta.js"),f=(t("../../constants/docs").FORMAT_LINK,o({editType:"plot",colorEditType:"plot"})),p={color:{valType:"color",editType:"plot"},line:{color:{valType:"color",dflt:s.defaultLine,editType:"plot"},width:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"calc"},thickness:{valType:"number",min:0,max:1,dflt:1,editType:"plot"},editType:"calc"},d={valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},g=u("step",i({},p,{range:d}));e.exports={mode:{valType:"flaglist",editType:"calc",flags:["number","delta","gauge"],dflt:"number"},value:{valType:"number",editType:"calc",anim:!0},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},domain:l({name:"indicator",trace:!0,editType:"calc"}),title:{text:{valType:"string",editType:"plot"},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},font:n({},f,{}),editType:"plot"},number:{valueformat:{valType:"string",dflt:"",editType:"plot"},font:n({},f,{}),prefix:{valType:"string",dflt:"",editType:"plot"},suffix:{valType:"string",dflt:"",editType:"plot"},editType:"plot"},delta:{reference:{valType:"number",editType:"calc"},position:{valType:"enumerated",values:["top","bottom","left","right"],dflt:"bottom",editType:"plot"},relative:{valType:"boolean",editType:"plot",dflt:!1},valueformat:{valType:"string",editType:"plot"},increasing:{symbol:{valType:"string",dflt:h.INCREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:h.INCREASING.COLOR,editType:"plot"},editType:"plot"},decreasing:{symbol:{valType:"string",dflt:h.DECREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:h.DECREASING.COLOR,editType:"plot"},editType:"plot"},font:n({},f,{}),editType:"calc"},gauge:{shape:{valType:"enumerated",editType:"plot",dflt:"angular",values:["angular","bullet"]},bar:i({},p,{color:{dflt:"green"}}),bgcolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:s.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:1,editType:"plot"},axis:a({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:"outside"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:"plot"},"plot"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:"plot"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:"number",editType:"calc",dflt:!1},editType:"plot"},editType:"plot"}}},{"../../components/color/attributes":614,"../../constants/delta.js":719,"../../constants/docs":720,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plot_api/plot_template":788,"../../plots/cartesian/layout_attributes":813,"../../plots/domain":826,"../../plots/font_attributes":827}],1088:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="indicator",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":862}],1089:[function(t,e,r){"use strict";e.exports={calc:function(t,e){var r=[],n=e.value;"number"!=typeof e._lastValue&&(e._lastValue=e.value);var i=e._lastValue,a=i;return e._hasDelta&&"number"==typeof e.delta.reference&&(a=e.delta.reference),r[0]={y:n,lastY:i,delta:n-a,relativeDelta:(n-a)/a},r}}},{}],1090:[function(t,e,r){"use strict";e.exports={defaultNumberFontSize:80,bulletNumberDomainSize:.25,bulletPadding:.025,innerRadius:.75,valueThickness:.5,titlePadding:5,horizontalPadding:10}},{}],1091:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../../plot_api/plot_template"),s=t("../../plots/array_container_defaults"),l=t("./constants.js"),c=t("../../plots/cartesian/tick_value_defaults"),u=t("../../plots/cartesian/tick_mark_defaults"),h=t("../../plots/cartesian/tick_label_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.gauge.steps,r,a)}r("color"),r("line.color"),r("line.width"),r("range"),r("thickness")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,a){return n.coerce(t,e,i,r,a)}a(e,p,d),d("mode"),e._hasNumber=-1!==e.mode.indexOf("number"),e._hasDelta=-1!==e.mode.indexOf("delta"),e._hasGauge=-1!==e.mode.indexOf("gauge");var g=d("value");e._range=[0,"number"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,i.gauge,t,e)}function k(t,e){return n.coerce(b,_,i.gauge.axis,t,e)}if(e._hasNumber&&(d("number.valueformat"),d("number.font.color",p.font.color),d("number.font.family",p.font.family),d("number.font.size"),void 0===e.number.font.size&&(e.number.font.size=l.defaultNumberFontSize,w[0]=!0),d("number.prefix"),d("number.suffix"),m=e.number.font.size),e._hasDelta&&(d("delta.font.color",p.font.color),d("delta.font.family",p.font.family),d("delta.font.size"),void 0===e.delta.font.size&&(e.delta.font.size=(e._hasNumber?.5:1)*(m||l.defaultNumberFontSize),w[1]=!0),d("delta.reference",e.value),d("delta.relative"),d("delta.valueformat",e.delta.relative?"2%":""),d("delta.increasing.symbol"),d("delta.increasing.color"),d("delta.decreasing.symbol"),d("delta.decreasing.color"),d("delta.position"),v=e.delta.font.size),e._scaleNumbers=(!e._hasNumber||w[0])&&(!e._hasDelta||w[1])||!1,d("title.font.color",p.font.color),d("title.font.family",p.font.family),d("title.font.size",.25*(m||v||l.defaultNumberFontSize)),d("title.text"),e._hasGauge){(y=t.gauge)||(y={}),x=o.newContainer(e,"gauge"),T("shape"),(e._isBullet="bullet"===e.gauge.shape)||d("title.align","center"),(e._isAngular="angular"===e.gauge.shape)||d("align","center"),T("bgcolor",p.paper_bgcolor),T("borderwidth"),T("bordercolor"),T("bar.color"),T("bar.line.color"),T("bar.line.width"),T("bar.thickness",l.valueThickness*("bullet"===e.gauge.shape?.5:1)),s(y,x,{name:"steps",handleItemDefaults:f}),T("threshold.value"),T("threshold.thickness"),T("threshold.line.width"),T("threshold.line.color"),b={},y&&(b=y.axis||{}),_=o.newContainer(x,"axis"),k("visible"),e._range=k("range",e._range);var M={outerTicks:!0};c(b,_,k,"linear"),h(b,_,k,"linear",M),u(b,_,k,M)}else d("title.align","center"),d("align","center"),e._isAngular=e._isBullet=!1;e._length=null}}},{"../../lib":750,"../../plot_api/plot_template":788,"../../plots/array_container_defaults":794,"../../plots/cartesian/tick_label_defaults":820,"../../plots/cartesian/tick_mark_defaults":821,"../../plots/cartesian/tick_value_defaults":822,"../../plots/domain":826,"./attributes":1087,"./constants.js":1090}],1092:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"indicator",basePlotModule:t("./base_plot"),categories:["svg","noOpacity","noHover"],animatable:!0,attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,calc:t("./calc").calc,plot:t("./plot"),meta:{}}},{"./attributes":1087,"./base_plot":1088,"./calc":1089,"./defaults":1091,"./plot":1093}],1093:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=i.rad2deg,o=t("../../constants/alignment").MID_SHIFT,s=t("../../components/drawing"),l=t("./constants"),c=t("../../lib/svg_text_utils"),u=t("../../plots/cartesian/axes"),h=t("../../plots/cartesian/axis_defaults"),f=t("../../plots/cartesian/position_defaults"),p=t("../../plots/cartesian/layout_attributes"),d=t("../../components/color"),g={left:"start",center:"middle",right:"end"},m={left:0,center:.5,right:1},v=/[yzafpn\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each((function(t){d.stroke(n.select(this),t.line.color)})).each((function(t){d.fill(n.select(this),t.color)})).style("stroke-width",(function(t){return t.line.width}))}function b(t,e,r){var n=t._fullLayout,a=i.extendFlat({type:"linear",ticks:"outside",range:r,showline:!0},e),o={type:"linear",_id:"x"+e._id},s={letter:"x",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return i.coerce(a,o,p,t,e)}return h(a,o,l,s,n),f(a,o,l,s),o}function _(t,e){return"translate("+t+","+e+")"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+"x"+r]}function T(t,e,r,i){var a=document.createElementNS("http://www.w3.org/2000/svg","text"),o=n.select(a);return o.text(t).attr("x",0).attr("y",0).attr("text-anchor",r).attr("data-unformatted",t).call(c.convertToTspans,i).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,a,o){var s="_cache"+e;t[s]&&t[s].key===a||(t[s]={key:a,value:r});var l=i.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),i.makeTraceGroups(p._indicatorlayer,e,"trace").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||"center";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,a){var o,l,h,f=r[0].trace,p=a.numbersX,x=a.numbersY,w=f.align||"center",M=g[w],A=a.transitionOpts,S=a.onComplete,E=i.ensureSingle(e,"g","numbers"),C=[];f._hasNumber&&C.push("number");f._hasDelta&&(C.push("delta"),"left"===f.delta.position&&C.reverse());var L=E.selectAll("text").data(C);function P(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(v)||r(i).slice(-1).match(v))return r;var a=e.slice().replace("s","f").replace(/\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:a});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append("text"),L.attr("text-anchor",(function(){return M})).attr("class",(function(t){return t})).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var i=function(t){return u.tickText(e,t).text},a=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=a(r[0]));var p=E.select("text.delta");function g(){p.text(o(a(r[0]),i)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween("text",(function(){var t=n.select(this),e=a(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,i,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each("end",(function(){g(),S&&S()})).each("interrupt",(function(){g(),S&&S()})):g(),l=T(o(a(r[0]),i),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var i=function(t){return u.tickText(e,t).text},a=f.number.suffix,l=f.number.prefix,h=E.select("text.number");function p(){var e="number"==typeof r[0].y?l+i(r[0].y)+a:"-";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each("end",(function(){p(),S&&S()})).each("interrupt",(function(){p(),S&&S()})).attrTween("text",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+a)}})):p(),o=T(l+i(r[0].y)+a,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;"left"===f.delta.position&&(O=k(f,"deltaPos",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"right"===f.delta.position&&(O=k(f,"deltaPos",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"bottom"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),"top"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr("transform",(function(){var t=a.numbersScaler(h);z+=t[2];var e,r=k(f,"numbersScale",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];"center"===w&&(n=(h.left+h.right)/2);var i=p-r*n;return _(i=k(f,"numbersTranslate",0,i,z,Math.max),e)+" scale("+r+")"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll("g.angular").data(I?e:[]);q.exit().remove();var H=L.selectAll("g.angularaxis").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,i){var s,l,c,h,f=r[0].trace,p=i.size,d=i.radius,g=i.innerRadius,m=i.gaugeBg,v=i.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=i.gauge,k=i.layer,M=i.transitionOpts,A=i.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr("d",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append("g").classed("angular",!0),T.attr("transform",_(w[0],w[1])),k.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),k.selectAll("g.xangularaxistick,path,text").remove(),(s=b(t,f.gauge.axis)).type="linear",s.range=f.gauge.axis.range,s._id="xangularaxis",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h="inside"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:"M"+h*D+",0h"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+"rotate("+-a(e)+")"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll("g.bg-arc").data(R);F.enter().append("g").classed("bg-arc",!0).append("path"),F.select("path").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll("g.value-arc").data([f.gauge.bar]);N.enter().append("g").classed("value-arc",!0).append("path");var j=N.select("path");y(M)?(j.transition().duration(M.duration).ease(M.easing).each("end",(function(){A&&A()})).each("interrupt",(function(){A&&A()})).attrTween("d",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr("d","number"==typeof r[0].y?B.endAngle(E(r[0].y)):"M0,0Z");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll("g.threshold-arc").data(R);G.enter().append("g").classed("threshold-arc",!0).append("path"),G.select("path").call(L).call(x),G.exit().remove();var Y=T.selectAll("g.gauge-outline").data([v]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll("g.bullet").data(z?e:[]);G.exit().remove();var Y=L.selectAll("g.bulletaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var i,a,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform","translate("+v.l+", "+v.t+")"),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(i=b(t,h.gauge.axis))._id="xbulletaxis",i.domain=[A,S],i.setScale(),a=u.calcTicks(i),o=u.makeTransFn(i),s=u.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(u.drawTicks(t,i,{vals:"inside"===i.ticks?u.clipEnds(i,a):a,layer:p,path:u.makeTickPath(i,c,s),transFn:o}),u.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:u.makeLabelFns(i,c)}));function E(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*k})).attr("height",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll("g.bg-bullet").data(C);L.enter().append("g").classed("bg-bullet",!0).append("rect"),L.select("rect").call(E).call(x),L.exit().remove();var P=f.selectAll("g.value-bullet").data([h.gauge.bar]);P.enter().append("g").classed("value-bullet",!0).append("rect"),P.select("rect").attr("height",M).attr("y",(k-M)/2).call(x),y(w)?P.select("rect").transition().duration(w.duration).ease(w.easing).each("end",(function(){T&&T()})).each("interrupt",(function(){T&&T()})).attr("width",Math.max(0,i.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll("g.threshold-bullet").data(I);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(h.gauge.threshold.value)).attr("x2",i.c2p(h.gauge.threshold.value)).attr("y1",(1-h.gauge.threshold.thickness)/2*k).attr("y2",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style("stroke-width",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll("g.gauge-outline").data([m]);O.enter().append("g").classed("gauge-outline",!0).append("rect"),O.select("rect").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll("text.title").data(e);W.exit().remove(),W.enter().append("text").classed("title",!0),W.attr("text-anchor",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr("transform",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{"../../components/color":615,"../../components/drawing":637,"../../constants/alignment":717,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/cartesian/axes":799,"../../plots/cartesian/axis_defaults":801,"../../plots/cartesian/layout_attributes":813,"../../plots/cartesian/position_defaults":816,"./constants":1090,d3:169}],1094:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;var c=e.exports=l(s({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:i(),showlegend:s({},o.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:a.opacity,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo)}),"calc","nested");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 0},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../../plots/template_attributes":877,"../mesh3d/attributes":1099}],1095:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../streamtube/calc").processGrid,a=t("../streamtube/calc").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":623,"../streamtube/calc":1266}],1096:[function(t,e,r){"use strict";var n=t("gl-mesh3d"),i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,h=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[h],this.data._meshY[h],this.data._meshZ[h],this.data._value[h]];var f=this.data.hovertext||this.data.text;return Array.isArray(f)&&void 0!==f[h]?t.textLabel=f[h]:f&&(t.textLabel=f),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=f(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var h=["xyz","xzy","yxz","yzx","zxy","zyx"];function f(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,f=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=h.indexOf(t._gridFill.replace(/-/g,"").replace(/\+/g,"")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},M=t._minValues,A=t._maxValues,S=t._vMin,E=t._vMax;function C(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function L(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,L()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function z(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function O(t){s=t}function D(t,e){return"all"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){L();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=(t[i]+e[i]+r[i])/3;return n}(r,n,i),o=Math.sqrt(1-s),l=z(a,r,o),c=z(a,n,o),u=z(a,i,o),h=e[0],f=e[1],p=e[2];return{xyzv:[[r,n,c],[c,l,r],[n,i,u],[u,c,n],[i,r,l],[l,u,i]],abc:[[h,f,-1],[-1,-1,h],[f,p,-1],[-1,-1,f],[p,h,-1],[-1,-1,p]]}}(r,n);l=u.xyzv,c=u.abc}for(var h=0;h<l.length;h++){r=l[h],n=c[h];for(var f=[],p=0;p<3;p++){var d=r[p][0],g=r[p][1],v=r[p][2],y=r[p][3],x=n[p]>-1?n[p]:C(d,g,v);f[p]=x>-1?x:I(d,g,v,R(e,y))}i=f[0],a=f[1],o=f[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++m}}function B(t,e,r,n){var i=t[3];i<r&&(i=r),i>n&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var r=[],n=0;n<4;n++){var i=e[n];r.push([t._x[i],t._y[i],t._z[i],t._value[i]])}return r}function V(t,e,r,n,i,a){a||(a=1),r=[-1,-1,-1];var o=!1,s=[N(e[0][3],n,i),N(e[1][3],n,i),N(e[2][3],n,i)];if(!s[0]&&!s[1]&&!s[2])return!1;var l=function(t,e,r){return j(e[0][3])&&j(e[1][3])&&j(e[2][3])?(F(t,e,r),!0):a<3&&V(t,e,r,S,E,++a)};if(s[0]&&s[1]&&s[2])return l(t,e,r)||o;var c=!1;return[[0,1,2],[2,0,1],[1,2,0]].forEach((function(a){if(s[a[0]]&&s[a[1]]&&!s[a[2]]){var u=e[a[0]],h=e[a[1]],f=e[a[2]],p=B(f,u,n,i),d=B(f,h,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,o=l(t,[u,h,d],[r[a[0]],r[a[1]],-1])||o,c=!0}})),c||[[0,1,2],[1,2,0],[2,0,1]].forEach((function(a){if(s[a[0]]&&!s[a[1]]&&!s[a[2]]){var u=e[a[0]],h=e[a[1]],f=e[a[2]],p=B(h,u,n,i),d=B(f,u,n,i);o=l(t,[d,p,u],[-1,-1,r[a[0]]])||o,c=!0}})),o}function q(t,e,r,n){var i=!1,a=U(e),o=[N(a[0][3],r,n),N(a[1][3],r,n),N(a[2][3],r,n),N(a[3][3],r,n)];if(!(o[0]||o[1]||o[2]||o[3]))return i;if(o[0]&&o[1]&&o[2]&&o[3])return g&&(i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(3,0,1),n(2,3,0),n(1,2,3)}(t,a,e)||i),i;var s=!1;return[[0,1,2,3],[3,0,1,2],[2,3,0,1],[1,2,3,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],h=a[l[2]],f=a[l[3]];if(g)i=F(t,[c,u,h],[e[l[0]],e[l[1]],e[l[2]]])||i;else{var p=B(f,c,r,n),d=B(f,u,r,n),m=B(f,h,r,n);i=F(null,[p,d,m],[-1,-1,-1])||i}s=!0}})),s?i:([[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2],[0,2,3,1],[1,3,2,0]].forEach((function(l){if(o[l[0]]&&o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],h=a[l[2]],f=a[l[3]],p=B(h,c,r,n),d=B(h,u,r,n),m=B(f,u,r,n),v=B(f,c,r,n);g?(i=F(t,[c,v,p],[e[l[0]],-1,-1])||i,i=F(t,[u,d,m],[e[l[1]],-1,-1])||i):i=function(t,e,r){var n=function(n,i,a){F(t,[e[n],e[i],e[a]],[r[n],r[i],r[a]])};n(0,1,2),n(2,3,0)}(null,[p,d,m,v],[-1,-1,-1,-1])||i,s=!0}})),s||[[0,1,2,3],[1,2,3,0],[2,3,0,1],[3,0,1,2]].forEach((function(l){if(o[l[0]]&&!o[l[1]]&&!o[l[2]]&&!o[l[3]]){var c=a[l[0]],u=a[l[1]],h=a[l[2]],f=a[l[3]],p=B(u,c,r,n),d=B(h,c,r,n),m=B(f,c,r,n);g?(i=F(t,[c,p,d],[e[l[0]],-1,-1])||i,i=F(t,[c,d,m],[e[l[0]],-1,-1])||i,i=F(t,[c,m,p],[e[l[0]],-1,-1])||i):i=F(null,[p,d,m],[-1,-1,-1])||i,s=!0}})),i)}function H(t,e,r,n,i,a,o,s,l,c,u){var h=!1;return d&&(D(t,"A")&&(h=q(null,[e,r,n,a],c,u)||h),D(t,"B")&&(h=q(null,[r,n,i,l],c,u)||h),D(t,"C")&&(h=q(null,[r,a,o,l],c,u)||h),D(t,"D")&&(h=q(null,[n,a,s,l],c,u)||h),D(t,"E")&&(h=q(null,[r,n,a,l],c,u)||h)),g&&(h=q(t,[r,n,a,l],c,u)||h),h}function G(t,e,r,n,i,a,o,s){return[!0===s[0]||V(t,U([e,r,n]),[e,r,n],a,o),!0===s[1]||V(t,U([n,i,e]),[n,i,e],a,o)]}function Y(t,e,r,n,i,a,o,s,l){return s?G(t,e,r,i,n,a,o,l):G(t,r,i,n,e,a,o,l)}function W(t,e,r,n,i,a,o){var s,l,c,u,h=!1,f=function(){h=V(t,[s,l,c],[-1,-1,-1],i,a)||h,h=V(t,[c,u,s],[-1,-1,-1],i,a)||h},p=o[0],d=o[1],g=o[2];return p&&(s=z(U([k(e,r-0,n-0)])[0],U([k(e-1,r-0,n-0)])[0],p),l=z(U([k(e,r-0,n-1)])[0],U([k(e-1,r-0,n-1)])[0],p),c=z(U([k(e,r-1,n-1)])[0],U([k(e-1,r-1,n-1)])[0],p),u=z(U([k(e,r-1,n-0)])[0],U([k(e-1,r-1,n-0)])[0],p),f()),d&&(s=z(U([k(e-0,r,n-0)])[0],U([k(e-0,r-1,n-0)])[0],d),l=z(U([k(e-0,r,n-1)])[0],U([k(e-0,r-1,n-1)])[0],d),c=z(U([k(e-1,r,n-1)])[0],U([k(e-1,r-1,n-1)])[0],d),u=z(U([k(e-1,r,n-0)])[0],U([k(e-1,r-1,n-0)])[0],d),f()),g&&(s=z(U([k(e-0,r-0,n)])[0],U([k(e-0,r-0,n-1)])[0],g),l=z(U([k(e-0,r-1,n)])[0],U([k(e-0,r-1,n-1)])[0],g),c=z(U([k(e-1,r-1,n)])[0],U([k(e-1,r-1,n-1)])[0],g),u=z(U([k(e-1,r-0,n)])[0],U([k(e-1,r-0,n-1)])[0],g),f()),h}function Z(t,e,r,n,i,a,o,s,l,c,u,h){var f=t;return h?(d&&"even"===t&&(f=null),H(f,e,r,n,i,a,o,s,l,c,u)):(d&&"odd"===t&&(f=null),H(f,l,s,o,a,i,n,r,e,c,u))}function X(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<w;c++)for(var u=1;u<_;u++)a.push(Y(t,k(l,u-1,c-1),k(l,u-1,c),k(l,u,c-1),k(l,u,c),r,n,(l+u+c)%2,i&&i[o]?i[o]:[])),o++;return a}function J(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<b;c++)for(var u=1;u<w;u++)a.push(Y(t,k(c-1,l,u-1),k(c,l,u-1),k(c-1,l,u),k(c,l,u),r,n,(c+l+u)%2,i&&i[o]?i[o]:[])),o++;return a}function K(t,e,r,n,i){for(var a=[],o=0,s=0;s<e.length;s++)for(var l=e[s],c=1;c<_;c++)for(var u=1;u<b;u++)a.push(Y(t,k(u-1,c-1,l),k(u-1,c,l),k(u,c-1,l),k(u,c,l),r,n,(u+c+l)%2,i&&i[o]?i[o]:[])),o++;return a}function Q(t,e,r){for(var n=1;n<w;n++)for(var i=1;i<_;i++)for(var a=1;a<b;a++)Z(t,k(a-1,i-1,n-1),k(a-1,i-1,n),k(a-1,i,n-1),k(a-1,i,n),k(a,i-1,n-1),k(a,i-1,n),k(a,i,n-1),k(a,i,n),e,r,(a+i+n)%2)}function $(t,e,r){d=!0,Q(t,e,r),d=!1}function tt(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<w;u++)for(var h=1;h<_;h++)o.push(W(t,c,h,u,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function et(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<b;u++)for(var h=1;h<w;h++)o.push(W(t,u,c,h,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function rt(t,e,r,n,i,a){for(var o=[],s=0,l=0;l<e.length;l++)for(var c=e[l],u=1;u<_;u++)for(var h=1;h<b;h++)o.push(W(t,h,u,c,r,n,i[l],a&&a[s]&&a[s])),s++;return o}function nt(t,e){for(var r=[],n=t;n<e;n++)r.push(n);return r}return function(){if(P(),function(){for(var e=0;e<b;e++)for(var r=0;r<_;r++)for(var n=0;n<w;n++){var i=k(e,r,n);I(t._x[i],t._y[i],t._z[i],t._value[i])}}(),u&&p&&(O(p),g=!0,Q(null,S,E),g=!1),c&&f){O(f);for(var e=t.surface.pattern,r=t.surface.count,s=0;s<r;s++){var h=1===r?.5:s/(r-1),d=(1-h)*S+h*E,T=Math.abs(d-M)>Math.abs(d-A)?[M,d]:[d,A];$(e,T[0],T[1])}}var C=[[Math.min(S,A),Math.max(S,A)],[Math.min(M,E),Math.max(M,E)]];["x","y","z"].forEach((function(e){for(var r=[],n=0;n<C.length;n++){var i=0,a=C[n][0],o=C[n][1],s=t.slices[e];if(s.show&&s.fill){O(s.fill);var c=[],u=[],h=[];if(s.locations.length)for(var f=0;f<s.locations.length;f++){var p=l(s.locations[f],"x"===e?v:"y"===e?y:x);0===p.distRatio?c.push(p.id):p.id>0&&(u.push(p.id),"x"===e?h.push([p.distRatio,0,0]):"y"===e?h.push([0,p.distRatio,0]):h.push([0,0,p.distRatio]))}else c=nt(1,"x"===e?b-1:"y"===e?_-1:w-1);u.length>0&&(r[i]="x"===e?tt(null,u,a,o,h,r[i]):"y"===e?et(null,u,a,o,h,r[i]):rt(null,u,a,o,h,r[i]),i++),c.length>0&&(r[i]="x"===e?X(null,c,a,o,r[i]):"y"===e?J(null,c,a,o,r[i]):K(null,c,a,o,r[i]),i++)}var d=t.caps[e];d.show&&d.fill&&(O(d.fill),r[i]="x"===e?X(null,[0,b-1],a,o,r[i]):"y"===e?J(null,[0,_-1],a,o,r[i]):K(null,[0,w-1],a,o,r[i]),i++)}})),0===m&&P(),t._meshX=n,t._meshY=i,t._meshZ=a,t._meshIntensity=o,t._Xs=v,t._Ys=y,t._Zs=x}(),t}e.exports={findNearestOnAxis:l,generateIsoMeshes:f,createIsosurfaceTrace:function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}}},{"../../components/colorscale":627,"../../lib/gl_format_color":746,"../../lib/str2rgbarray":773,"../../plots/gl3d/zip3":852,"gl-mesh3d":292}],1097:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("../../components/colorscale/defaults");function s(t,e,r,n,a){var s=a("isomin"),l=a("isomax");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a("x"),u=a("y"),h=a("z"),f=a("value");c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length?(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],n),["x","y","z"].forEach((function(t){var e="caps."+t;a(e+".show")&&a(e+".fill");var r="slices."+t;a(r+".show")&&(a(r+".fill"),a(r+".locations"))})),a("spaceframe.show")&&a("spaceframe.fill"),a("surface.show")&&(a("surface.count"),a("surface.fill"),a("surface.pattern")),a("contour.show")&&(a("contour.color"),a("contour.width")),["text","hovertext","hovertemplate","lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lighting.vertexnormalsepsilon","lighting.facenormalsepsilon","lightposition.x","lightposition.y","lightposition.z","flatshading","opacity"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:"",cLetter:"c"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,i){s(t,e,r,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},{"../../components/colorscale/defaults":625,"../../lib":750,"../../registry":882,"./attributes":1094}],1098:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,calc:t("./calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert").createIsosurfaceTrace,moduleType:"trace",name:"isosurface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":841,"./attributes":1094,"./calc":1095,"./convert":1096,"./defaults":1097}],1099:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:i({editType:"calc"}),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 0},n("",{colorAttr:"`intensity`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:a.opacity,flatshading:{valType:"boolean",dflt:!1,editType:"calc"},contour:{show:s({},a.contours.x.show,{}),color:a.contours.x.color,width:a.contours.x.width,editType:"calc"},lightposition:{x:s({},a.lightposition.x,{dflt:1e5}),y:s({},a.lightposition.y,{dflt:1e5}),z:s({},a.lightposition.z,{dflt:0}),editType:"calc"},lighting:s({vertexnormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-12,editType:"calc"},facenormalsepsilon:{valType:"number",min:0,max:1,dflt:1e-6,editType:"calc"},editType:"calc"},a.lighting),hoverinfo:s({},o.hoverinfo,{editType:"calc"}),showlegend:s({},o.showlegend,{dflt:!1})})},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../surface/attributes":1282}],1100:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":623}],1101:[function(t,e,r){"use strict";var n=t("gl-mesh3d"),i=t("delaunay-triangulate"),a=t("alpha-shape"),o=t("convex-hull"),s=t("../../lib/gl_format_color").parseColorScale,l=t("../../lib/str2rgbarray"),c=t("../../components/colorscale").extractOpts,u=t("../../plots/gl3d/zip3");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.color="#fff",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function m(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,h)||!m(t.j,h)||!m(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?a(t.alphahull,f):function(t,e){for(var r=["x","y","z"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,f);var v={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color="#fff";var x=t.intensitymode;v[x+"Intensity"]=t.intensity,v[x+"IntensityBounds"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../components/colorscale":627,"../../lib/gl_format_color":746,"../../lib/str2rgbarray":773,"../../plots/gl3d/zip3":852,"alpha-shape":69,"convex-hull":135,"delaunay-triangulate":171,"gl-mesh3d":292}],1102:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}c(["x","y","z"])?(c(["i","j","k"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],s),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lighting.vertexnormalsepsilon","lighting.facenormalsepsilon","lightposition.x","lightposition.y","lightposition.z","flatshading","alphahull","delaunayaxis","opacity"].forEach((function(t){l(t)})),l("contour.show")&&(l("contour.color"),l("contour.width")),"intensity"in t?(l("intensity"),l("intensitymode"),a(t,e,s,l,{prefix:"",cLetter:"c"})):(e.showscale=!1,"facecolor"in t?l("facecolor"):"vertexcolor"in t?l("vertexcolor"):l("color",r)),l("text"),l("hovertext"),l("hovertemplate"),e._length=null):e.visible=!1):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"../../registry":882,"./attributes":1099}],1103:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert"),moduleType:"trace",name:"mesh3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":841,"./attributes":1099,"./calc":1100,"./convert":1101,"./defaults":1102}],1104:[function(t,e,r){"use strict";var n=t("../../lib").extendFlat,i=t("../scatter/attributes"),a=t("../../components/drawing/attributes").dash,o=t("../../components/fx/attributes"),s=t("../../constants/delta.js"),l=s.INCREASING.COLOR,c=s.DECREASING.COLOR,u=i.line;function h(t){return{line:{color:n({},u.color,{dflt:t}),width:u.width,dash:a,editType:"style"},editType:"style"}}e.exports={xperiod:i.xperiod,xperiod0:i.xperiod0,xperiodalignment:i.xperiodalignment,x:{valType:"data_array",editType:"calc+clearAxisTypes"},open:{valType:"data_array",editType:"calc"},high:{valType:"data_array",editType:"calc"},low:{valType:"data_array",editType:"calc"},close:{valType:"data_array",editType:"calc"},line:{width:n({},u.width,{}),dash:n({},a,{}),editType:"style"},increasing:h(l),decreasing:h(c),text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},tickwidth:{valType:"number",min:0,max:.5,dflt:.3,editType:"calc"},hoverlabel:n({},o.hoverlabel,{split:{valType:"boolean",dflt:!1,editType:"style"}})}},{"../../components/drawing/attributes":636,"../../components/fx/attributes":646,"../../constants/delta.js":719,"../../lib":750,"../scatter/attributes":1158}],1105:[function(t,e,r){"use strict";var n=t("../../lib"),i=n._,a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../../constants/numerical").BADNUM;function l(t,e,r,n){return{o:t,h:e,l:r,c:n}}function c(t,e,r,o,l,c){for(var u=l.makeCalcdata(e,"open"),h=l.makeCalcdata(e,"high"),f=l.makeCalcdata(e,"low"),p=l.makeCalcdata(e,"close"),d=Array.isArray(e.text),g=Array.isArray(e.hovertext),m=!0,v=null,y=!!e.xperiodalignment,x=[],b=0;b<o.length;b++){var _=o[b],w=u[b],T=h[b],k=f[b],M=p[b];if(_!==s&&w!==s&&T!==s&&k!==s&&M!==s){M===w?null!==v&&M!==v&&(m=M>v):m=M>w,v=M;var A=c(w,T,k,M);A.pos=_,A.yc=(w+M)/2,A.i=b,A.dir=m?"increasing":"decreasing",A.x=A.pos,A.y=[k,T],y&&(A.orig_p=r[b]),d&&(A.tx=e.text[b]),g&&(A.htx=e.hovertext[b]),x.push(A)}else x.push({pos:_,empty:!0})}return e._extremes[l._id]=a.findExtremes(l,n.concat(f,h),{padded:!0}),x.length&&(x[0].t={labels:{open:i(t,"open:")+" ",high:i(t,"high:")+" ",low:i(t,"low:")+" ",close:i(t,"close:")+" "}}),x}e.exports={calc:function(t,e){var r=a.getFromId(t,e.xaxis),i=a.getFromId(t,e.yaxis),s=function(t,e,r){var i=r._minDiff;if(!i){var a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var c=s[a];if("ohlc"===c.type&&!0===c.visible&&c.xaxis===e._id){l.push(c);var u=e.makeCalcdata(c,"x");c._origX=u;var h=o(r,e,"x",u);c._xcalc=h;var f=n.distinctVals(h).minDiff;f&&isFinite(f)&&(i=Math.min(i,f))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),u=e._minDiff;e._minDiff=null;var h=e._origX;e._origX=null;var f=e._xcalc;e._xcalc=null;var p=c(t,e,h,f,i,l);return e._extremes[r._id]=a.findExtremes(r,f,{vpad:u/2}),p.length?(n.extendFlat(p[0].t,{wHover:u/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:c}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799}],1106:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./ohlc_defaults"),a=t("../scatter/period_defaults"),o=t("./attributes");function s(t,e,r,n){r(n+".line.color"),r(n+".line.width",e.line.width),r(n+".line.dash",e.line.dash)}e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,o,r,i)}i(t,e,c,l)?(a(t,e,l,c,{x:!0}),c("line.width"),c("line.dash"),s(t,e,c,"increasing"),s(t,e,c,"decreasing"),c("text"),c("hovertext"),c("tickwidth"),l._requestRangeslider[e.xaxis]=!0):e.visible=!1}},{"../../lib":750,"../scatter/period_defaults":1178,"./attributes":1104,"./ohlc_defaults":1109}],1107:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../lib"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../lib").fillText,l=t("../../constants/delta.js"),c={increasing:l.INCREASING.SYMBOL,decreasing:l.DECREASING.SYMBOL};function u(t,e,r,n){var i,s,l=t.cd,c=t.xa,u=l[0].trace,h=l[0].t,f=u.type,p="ohlc"===f?"l":"min",d="ohlc"===f?"h":"max",g=h.bPos||0,m=h.bdPos||h.tickLen,v=h.wHover,y=Math.min(1,m/Math.abs(c.r2c(c.range[1])-c.r2c(c.range[0])));function x(t){var r=function(t){return t.pos+g-e}(t);return a.inbox(r-v,r+v,i)}function b(t){var e=t[p],n=t[d];return e===n||a.inbox(e-r,n-r,i)}function _(t){return(x(t)+b(t))/2}i=t.maxHoverDistance-y,s=t.maxSpikeDistance-y;var w=a.getDistanceFunction(n,x,b,_);if(a.getClosest(l,w,t),!1===t.index)return null;var T=l[t.index];if(T.empty)return null;var k=u[T.dir],M=k.line.color;return o.opacity(M)&&k.line.width?t.color=M:t.color=k.fillcolor,t.x0=c.c2p(T.pos+g-m,!0),t.x1=c.c2p(T.pos+g+m,!0),t.xLabelVal=void 0!==T.orig_p?T.orig_p:T.pos,t.spikeDistance=_(T)*s/i,t.xSpike=c.c2p(T.pos,!0),t}function h(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,c=o[0].t,h=[],f=u(t,e,r,a);if(!f)return[];var p=o[f.index].hi||l.hoverinfo,d=p.split("+");if(!("all"===p||-1!==d.indexOf("y")))return[];for(var g=["high","open","close","low"],m={},v=0;v<g.length;v++){var y,x=g[v],b=l[x][f.index],_=s.c2p(b,!0);b in m?(y=m[b]).yLabel+="<br>"+c.labels[x]+n.hoverLabelText(s,b):((y=i.extendFlat({},f)).y0=y.y1=_,y.yLabelVal=b,y.yLabel=c.labels[x]+n.hoverLabelText(s,b),y.name="",h.push(y),m[b]=y)}return h}function f(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,h=a[0].t,f=u(t,e,r,i);if(!f)return[];var p=a[f.index],d=f.index=p.i,g=p.dir;function m(t){return h.labels[t]+n.hoverLabelText(o,l[t][d])}var v=p.hi||l.hoverinfo,y=v.split("+"),x="all"===v,b=x||-1!==y.indexOf("y"),_=x||-1!==y.indexOf("text"),w=b?[m("open"),m("high"),m("low"),m("close")+"  "+c[g]]:[];return _&&s(p,l,w),f.extraText=w.join("<br>"),f.y0=f.y1=o.c2p(p.yc,!0),[f]}e.exports={hoverPoints:function(t,e,r,n){return t.cd[0].trace.hoverlabel.split?h(t,e,r,n):f(t,e,r,n)},hoverSplit:h,hoverOnPoints:f}},{"../../components/color":615,"../../components/fx":655,"../../constants/delta.js":719,"../../lib":750,"../../plots/cartesian/axes":799}],1108:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"ohlc",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","showLegend"],meta:{},attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc").calc,plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select")}},{"../../plots/cartesian":812,"./attributes":1104,"./calc":1105,"./defaults":1106,"./hover":1107,"./plot":1110,"./select":1111,"./style":1112}],1109:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports=function(t,e,r,a){var o=r("x"),s=r("open"),l=r("high"),c=r("low"),u=r("close");if(r("hoverlabel.split"),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x"],a),s&&l&&c&&u){var h=Math.min(s.length,l.length,c.length,u.length);return o&&(h=Math.min(h,i.minRowLength(o))),e._length=h,h}}},{"../../lib":750,"../../registry":882}],1110:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib");e.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,"trace ohlc").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var c=a.tickLen,u=e.selectAll("path").data(i.identity);u.enter().append("path"),u.exit().remove(),u.attr("d",(function(t){if(t.empty)return"M0,0Z";var e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return"M"+e+","+o.c2p(t.o,!0)+"H"+n+"M"+n+","+o.c2p(t.h,!0)+"V"+o.c2p(t.l,!0)+"M"+r+","+o.c2p(t.c,!0)+"H"+n}))}}))}},{"../../lib":750,d3:169}],1111:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([i.c2p(l.pos+s),a.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:i.c2d(l.pos),y:a.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},{}],1112:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll("path").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{"../../components/color":615,"../../components/drawing":637,d3:169}],1113:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category ascending","category descending","array"],dflt:"trace",editType:"calc"},categoryarray:{valType:"data_array",editType:"calc"},ticktext:{valType:"data_array",editType:"calc"},values:{valType:"data_array",dflt:[],editType:"calc"},displayindex:{valType:"integer",editType:"calc"},editType:"calc",visible:{valType:"boolean",dflt:!0,editType:"calc"}},line:c,counts:{valType:"number",min:0,dflt:1,arrayOk:!0,editType:"calc"},customdata:void 0,hoverlabel:void 0,ids:void 0,legendgroup:void 0,opacity:void 0,selectedpoints:void 0,showlegend:void 0}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/domain":826,"../../plots/font_attributes":827,"../../plots/template_attributes":877}],1114:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getModuleCalcData,i=t("./plot");r.name="parcats",r.plot=function(t,e,r,a){var o=n(t.calcdata,"parcats");if(o.length){var s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":836,"./plot":1119}],1115:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib"),c=t("fast-isnumeric");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if("trace"===t.categoryorder)e=null;else if("array"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),"category descending"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,"line")&&a(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+"-"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{"../../components/colorscale/calc":623,"../../components/colorscale/helpers":626,"../../components/drawing":637,"../../lib":750,"../../lib/filter_unique.js":741,"../../lib/gup":747,"fast-isnumeric":241}],1116:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("./attributes"),c=t("../parcoords/merge_length");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),f("hoveron"),f("hovertemplate"),f("arrangement"),f("bundlecolors"),f("sortpaths"),f("counts");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,"labelfont",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,"tickfont",m)}},{"../../components/colorscale/defaults":625,"../../components/colorscale/helpers":626,"../../lib":750,"../../plots/array_container_defaults":794,"../../plots/domain":826,"../parcoords/merge_length":1129,"./attributes":1113}],1117:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":1113,"./base_plot":1114,"./calc":1115,"./defaults":1116,"./plot":1119}],1118:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plot_api/plot_api"),a=t("../../components/fx"),o=t("../../lib"),s=t("../../components/drawing"),l=t("tinycolor2"),c=t("../../lib/svg_text_utils");function u(t,e,r,i){var a=t.map(D.bind(0,e,r)),l=i.selectAll("g.parcatslayer").data([null]);l.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=l.selectAll("g.trace.parcats").data(a,h),m=u.enter().append("g").attr("class","trace parcats");u.attr("transform",(function(t){return"translate("+t.x+", "+t.y+")"})),m.append("g").attr("class","paths");var v=u.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),h);v.attr("fill",(function(t){return t.model.color}));var b=v.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);x(b),v.attr("d",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on("mouseover",d).on("mouseout",g).on("click",y),m.append("g").attr("class","dimensions");var T=u.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),h);T.enter().append("g").attr("class","dimension"),T.attr("transform",(function(t){return"translate("+t.x+", 0)"})),T.exit().remove();var k=T.selectAll("g.category").data((function(t){return t.categories}),h),M=k.enter().append("g").attr("class","category");k.attr("transform",(function(t){return"translate(0, "+t.y+")"})),M.append("rect").attr("class","catrect").attr("pointer-events","none"),k.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),_(M);var A=k.selectAll("rect.bandrect").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr("fill",(function(t){return t.color}));var I=A.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);A.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),w(I),A.exit().remove(),M.append("text").attr("class","catlabel").attr("pointer-events","none");var z=e._fullLayout.paper_bgcolor;k.select("text.catlabel").attr("text-anchor",(function(t){return f(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",z+" -1px  1px 2px, "+z+" 1px  1px 2px, "+z+"  1px -1px 2px, "+z+" -1px -1px 2px").style("fill","rgb(0, 0, 0)").attr("x",(function(t){return f(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append("text").attr("class","dimlabel"),k.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll("rect.bandrect").on("mouseover",S).on("mouseout",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",C).on("drag",L).on("dragend",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];i=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,["black","white"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",A.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",A.probabilityLabel].join(" "));var E=S.join("<br>"),C=n.mouse(h)[0];a.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:C<_?"right":"left",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function x(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function b(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return l.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function _(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function w(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=T(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,i,a=n.select(e.parentNode).select("rect.catrect"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,i="left"):(r=o.left+o.width,i="right");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&m.push(["Count:",g.countLabel].join(" ")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf("probability")&&m.push(["P("+g.categoryLabel+"):",g.probabilityLabel].join(" "));var v=m.join("<br>");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:i,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if("color"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),M(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),k(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===c?e=A(s,this):"color"===c?e=function(t,e){var r,i,a=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=a.y+a.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=a.left,i="left"):(r=a.left+a.width,i="right");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&w.push(["Count:",_.countLabel].join(" ")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(w.push("P(color \u2229 "+p+"): "+_.probabilityLabel),w.push("P("+p+" | color): "+x.toFixed(3)),w.push("P(color | "+p+"): "+b.toFixed(3)));var T=w.join("<br>"),k=l.mostReadable(o.color,["black","white"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:k,fontSize:10,idealAlign:i,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):"dimension"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){r.push(A(t,this))})),r}(s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll("g.category")),w(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?M(this,"plotly_unhover",n.event):k(this,"plotly_unhover",n.event)}}function C(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=I(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[u],e["dimensions["+t.model.containerInd+"].ticktext"]=[h],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,"plotly_click",n.event.sourceEvent):k(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr("d",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll("g.category").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr("transform",(function(t){return"translate("+t.x+", 0)"})),r(i).attr("transform",(function(t){return"translate(0, "+t.y+")"})),i.select(".dimlabel").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(".catlabel").attr("text-anchor",(function(t){return f(t)?"start":"end"})).attr("x",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),h),s=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),w(s),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function D(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var g={trace:o,key:o.uid,model:i,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(B(g),F(g)),g}function R(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u="M "+t[0]+","+e[0];for(u+="l"+r[0]+",0 ",s=1;s<r.length;s++)u+="C"+l[s-1]+","+e[s-1]+" "+c[s-1]+","+e[s]+" "+t[s]+","+e[s],u+="l"+r[s]+",0 ";for(u+="l0,"+i+" ",u+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)u+="C"+c[s]+","+(e[s+1]+i)+" "+l[s]+","+(e[s]+i)+" "+(t[s]+r[s])+","+(e[s]+i),u+="l-"+r[s]+",0 ";return u+="Z"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),i=h(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y="hspline"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(N(t,a))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{"../../components/drawing":637,"../../components/fx":655,"../../lib":750,"../../lib/svg_text_utils":774,"../../plot_api/plot_api":785,d3:169,tinycolor2:548}],1119:[function(t,e,r){"use strict";var n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":1118}],1120:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"}))}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/plot_template":788,"../../plots/cartesian/layout_attributes":813,"../../plots/domain":826,"../../plots/font_attributes":827}],1121:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("../../lib/gup").keyFun,o=t("../../lib/gup").repeat,s=t("../../lib").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],u=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return c(l,u);if(i*r<i*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr("x",-n.bar.captureWidth/2).attr("width",n.bar.captureWidth)}function d(t){t.attr("visibility","visible").style("visibility","visible").attr("fill","yellow").attr("opacity",0)}function g(t){if(!t.brush.filterSpecified)return"0,"+t.height;for(var e,r,n,i=m(t.brush.filter.getConsolidated(),t.height),a=[0],o=i.length?i[0][0]:null,s=0;s<i.length;s++)r=(e=i[s])[1]-e[0],a.push(o),a.push(r),(n=s+1)<i.length&&(o=i[n][0]-e[1]);return a.push(t.height),a}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){i.select(document.body).style("cursor",null)}function y(t){t.attr("stroke-dasharray",g)}function x(t,e){var r=i.select(t).selectAll(".highlight, .highlight-shadow");y(e?r.transition().duration(n.bar.snapDuration).each("end",e):r)}function b(t,e){var r,i=t.brush,a=NaN,o={};if(i.filterSpecified){var s=t.height,l=i.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(a=u,isNaN(a)&&(a=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(a)){var d=c[a],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?"n":e<=.9*t[0]+.1*t[1]?"s":"ns"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var v=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<v.length;r++){var x=[.25*v[Math.max(r-1,0)]+.75*v[r],.25*v[Math.min(r+1,v.length-1)]+.75*v[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function T(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||v()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on("drag",(function(t){_(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),x(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[f(0,l,a.newExtent[0],a.stayingIntervals),f(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll("."+n.cn.axisBrush).data(o,a);e.enter().append("g").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(".background").data(o);e.enter().append("rect").classed("background",!0).call(p).call(d).style("pointer-events","auto").attr("transform","translate(0 "+n.verticalPadding+")"),e.call(T).attr("height",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(".highlight-shadow").data(o);r.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",n.bar.strokeColor).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),r.attr("y1",(function(t){return t.height})).call(y);var i=t.selectAll(".highlight").data(o);i.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),i.attr("y1",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{"../../lib":750,"../../lib/gup":747,"./constants":1124,d3:169}],1122:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("parcoords"),a=e._has&&e._has("parcoords");i&&!a&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter((function(t,e){return e===r.size()-1})).selectAll(".gl-canvas-context, .gl-canvas-focus").each((function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":726,"../../plots/get_data":836,"./plot":1131,d3:169}],1123:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":627,"../../lib":750,"../../lib/gup":747}],1124:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:"white",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],1125:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),h=t("./constants").maxDimensionCount,f=t("./merge_length");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var h=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:h},l.setConvert(e._ax,i.layout),a("multiselect");var f=a("constraintrange");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log("parcoords traces support up to "+h+" dimensions at the moment"),d.splice(h));var g=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,"values",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",v),n.coerceFont(u,"tickfont",v),n.coerceFont(u,"rangefont",v),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":625,"../../components/colorscale/helpers":626,"../../lib":750,"../../plots/array_container_defaults":794,"../../plots/cartesian/axes":799,"../../plots/domain":826,"./attributes":1120,"./axisbrush":1121,"./constants":1124,"./merge_length":1129}],1126:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":750}],1127:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":1120,"./base_plot":1122,"./calc":1123,"./defaults":1125,"./plot":1131}],1128:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n               p17_20, p21_24, p25_28, p29_32,\n               p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform sampler2D mask, palette;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(mask,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=t("./constants").maxDimensionCount,s=t("../../lib"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e="0"+t;return e.substr(e.length-2)}function v(t){return t<o?"p"+m(t+1)+"_"+m(t+4):"colors"}function y(t,e,r,n,i,a,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===i?1:0,d[1][g]=g===a?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:"dynamic",type:"float",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:1,dstAlpha:1},equation:{rgb:"add",alpha:"add"},color:[0,0,0,0]},depth:{enable:!_,mask:!0,func:"less",range:[0,1]},cull:{enable:!0,face:"back"},scissor:{enable:!0,box:{x:T.prop("scissorX"),y:T.prop("scissorY"),width:T.prop("scissorWidth"),height:T.prop("scissorHeight")}},viewport:{x:T.prop("viewportX"),y:T.prop("viewportY"),width:T.prop("viewportWidth"),height:T.prop("viewportHeight")},dither:!1,vert:i,frag:a,primitive:"lines",lineWidth:1,attributes:M,uniforms:{resolution:T.prop("resolution"),viewBoxPos:T.prop("viewBoxPos"),viewBoxSize:T.prop("viewBoxSize"),dim0A:T.prop("dim0A"),dim1A:T.prop("dim1A"),dim0B:T.prop("dim0B"),dim1B:T.prop("dim1B"),dim0C:T.prop("dim0C"),dim1C:T.prop("dim1C"),dim0D:T.prop("dim0D"),dim1D:T.prop("dim1D"),loA:T.prop("loA"),hiA:T.prop("hiA"),loB:T.prop("loB"),hiB:T.prop("hiB"),loC:T.prop("loC"),hiC:T.prop("hiC"),loD:T.prop("loD"),hiD:T.prop("hiD"),palette:A,contextColor:T.prop("contextColor"),mask:T.prop("maskTexture"),drwLayer:T.prop("drwLayer"),maskHeight:T.prop("maskHeight")},offset:T.prop("offset"),count:T.prop("count")});function C(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),m=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(m,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](g(n/4,e,r))}(M,m,a),_||w||(A=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&h(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),h=l[e].brush.filter.get();if(!(h.length<2)){var f=x(h[0])[1];for(r=1;r<h.length;r++){var p=x(h[r]);for(n=f+1;n<p[0];n++)o[8*n+c]&=~u;f=Math.max(f,p[1])}}}var d={shape:[8,2048],format:"alpha",type:"uint8",mag:"nearest",min:"nearest",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,C=M+d.panelSizeX;if(e||!S[g]||S[g][0]!==M||S[g][1]!==C){S[g]=[M,C];var L=y(r,a,o,i,g,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var P=e?r.lines.blockLineCount:m;f(T,E,k,P,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:C}}},{"../../lib":750,"./constants":1124,glslify:413}],1129:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1130:[function(t,e,r){"use strict";var n=t("d3"),i=t("color-rgba"),a=t("../../plots/cartesian/axes"),o=t("../../lib"),s=t("../../lib/svg_text_utils"),l=t("../../components/drawing"),c=t("../../components/colorscale"),u=t("../../lib/gup"),h=u.keyFun,f=u.repeat,p=u.unwrap,d=t("./helpers"),g=t("./constants"),m=t("./axisbrush"),v=t("./lines");function y(t,e,r){return o.aggNums(t,null,e,r)}function x(t,e){return _(y(Math.min,t,e),y(Math.max,t,e))}function b(t){var e=t.range;return e?_(e[0],e[1]):x(t.values,t._length)}function _(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function w(t,e,r,i,a){var o,s,l=b(r);return i?n.scale.ordinal().domain(i.map((o=n.format(r.tickformat),s=a,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(i.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function T(t){if(t.tickvals){var e=b(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function k(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=i(t[1]);return n.rgb("rgb("+e[0]+","+e[1]+","+e[2]+")")})),a="rgb".split("").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return a.map((function(e){return e(t)}))}}function M(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function A(t,e,r){var a=p(e),s=a.trace,l=d.convertTypedArray(a.lineColor),u=s.line,h={color:i(g.deselectedLineColor)},f=c.extractOpts(u),m=f.reversescale?c.flipScale(a.cscale):a.cscale,v=s.domain,y=s.dimensions,x=t.width,_=s.labelangle,w=s.labelside,T=s.labelfont,M=s.tickfont,A=s.rangefont,S=o.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(b({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:g.blockLineCount,canvasOverdrag:g.overdrag*g.canvasPixelRatio}),E=Math.floor(x*(v.x[1]-v.x[0])),C=Math.floor(t.height*(v.y[1]-v.y[0])),L=t.margin||{l:80,r:80,t:100,b:80},P=E,I=C;return{key:r,colCount:y.filter(d.isVisible).length,dimensions:y,tickDistance:g.tickDistance,unitToColor:k(m),lines:S,deselectedLines:h,labelAngle:_,labelSide:w,labelFont:T,tickFont:M,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:v,translateX:v.x[0]*x,translateY:t.height-v.y[1]*t.height,pad:L,canvasWidth:P*g.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:I*g.canvasPixelRatio,width:P,height:I,canvasPixelRatio:g.canvasPixelRatio}}function S(t,e,r){var i=r.width,a=r.height,s=r.dimensions,l=r.canvasPixelRatio,c=function(t){return i*t/Math.max(1,r.colCount-1)},u=g.verticalPadding/a,h=function(t,e){return n.scale.linear().range([e,t-e])}(a,g.verticalPadding),f={key:r.key,xScale:c,model:r,inBrushDrag:!1},p={};return f.dimensions=s.filter(d.isVisible).map((function(i,s){var v=function(t,e){return n.scale.linear().domain(b(t)).range([e,1-e])}(i,u),y=p[i.label];p[i.label]=(y||0)+1;var x=i.label+(y?"__"+y:""),_=i.constraintrange,k=_&&_.length;k&&!Array.isArray(_[0])&&(_=[_]);var A=k?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=i.values;S.length>i._length&&(S=S.slice(0,i._length));var E,C=i.tickvals;function L(t,e){return{val:t,text:E[e]}}function P(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){E=i.ticktext,Array.isArray(E)&&E.length?E.length>C.length?E=E.slice(0,C.length):C.length>E.length&&(C=C.slice(0,E.length)):E=C.map(n.format(i.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var z=C.map(L).sort(P),O=0;O<C.length;O++)C[O]=z[O].val,E[O]=z[O].text;break}}else C=void 0;return S=d.convertTypedArray(S),{key:x,label:i.label,tickFormat:i.tickformat,tickvals:C,ticktext:E,ordinal:d.isOrdinal(i),multiselect:i.multiselect,xIndex:s,crossfilterDimensionIndex:s,visibleIndex:i._index,height:a,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(s),canvasX:c(s)*l,unitToPaddedPx:h,domainScale:w(a,g.verticalPadding,i,C,E),ordinalScale:T(i),parent:f,model:r,brush:m.makeBrush(t,k,A,(function(){t.linePickActive(!1)}),(function(){var e=f;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=M(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(f.focusLayer.render(f.panels,!0),f.pickLayer&&f.pickLayer.render(f.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(o.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(f.key,i._index,a)}}))}})),f}function E(t){t.classed(g.cn.axisExtentText,!0).attr("text-anchor","middle").style("cursor","default")}function C(t,e){var r="top"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function L(t,e){for(var r=e.panels||(e.panels=[]),n=t.data(),i=0;i<n.length-1;i++){var a=r[i]||(r[i]={}),o=n[i],s=n[i+1];a.dim0=o,a.dim1=s,a.canvasX=o.canvasX,a.panelSizeX=s.canvasX-o.canvasX,a.panelSizeY=e.model.canvasHeight,a.y=0,a.canvasY=0}}function P(t,e){return a.tickText(t._ax,e,!1).text}function I(t,e){if(t.ordinal)return"";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return P(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,i){var c=t._fullLayout,u=c._toppaper,y=c._glcontainer;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,o=0;o<i.length;o++){var s=i[o].values,l=i[o]._ax;l&&(l.range?l.range=_(l.range[0],l.range[1]):l.range=x(s,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[o].tickformat,a.calcTicks(l),l.cleanRange())}}(e);var b,w,T=(b=!0,w=!1,{linePickActive:function(t){return arguments.length?b=!!t:b},contextShown:function(t){return arguments.length?w=!!t:w}}),k=e.filter((function(t){return p(t).trace.visible})).map(A.bind(0,r)).map(S.bind(0,T,i));y.each((function(t,e){return o.extendFlat(t,k[e])}));var z=y.selectAll(".gl-canvas").each((function(t){t.viewModel=k[0],t.model=t.viewModel?t.viewModel.model:null})),O=null;z.filter((function(t){return t.pick})).style("pointer-events","auto").on("mousemove",(function(t){if(T.linePickActive()&&t.lineLayer&&i&&i.hover){var e=n.event,r=this.width,a=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=a)return;var c=t.lineLayer.readPixel(s,a-1-l),u=0!==c[3],h=u?c[2]+256*(c[1]+256*c[0]):null,f={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:h};h!==O&&(u?i.hover(f):i.unhover&&i.unhover(f),O=h)}})),z.style("opacity",(function(t){return t.pick?0:1})),u.style("background","rgba(255, 255, 255, 0)");var D=u.selectAll("."+g.cn.parcoords).data(k,h);D.exit().remove(),D.enter().append("g").classed(g.cn.parcoords,!0).style("shape-rendering","crispEdges").style("pointer-events","none"),D.attr("transform",(function(t){return"translate("+t.model.translateX+","+t.model.translateY+")"}));var R=D.selectAll("."+g.cn.parcoordsControlView).data(f,h);R.enter().append("g").classed(g.cn.parcoordsControlView,!0),R.attr("transform",(function(t){return"translate("+t.model.pad.l+","+t.model.pad.t+")"}));var F=R.selectAll("."+g.cn.yAxis).data((function(t){return t.dimensions}),h);F.enter().append("g").classed(g.cn.yAxis,!0),R.each((function(t){L(F,t)})),z.each((function(t){if(t.viewModel){!t.lineLayer||i?t.lineLayer=v(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||i;t.lineLayer.render(t.viewModel.panels,e)}})),F.attr("transform",(function(t){return"translate("+t.xScale(t.xIndex)+", 0)"})),F.call(n.behavior.drag().origin((function(t){return t})).on("drag",(function(t){var e=t.parent;T.linePickActive(!1),t.x=Math.max(-g.overdrag,Math.min(t.model.width+g.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,F.sort((function(t,e){return t.x-e.x})).each((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio})),L(F,e),F.filter((function(e){return 0!==Math.abs(t.xIndex-e.xIndex)})).attr("transform",(function(t){return"translate("+t.xScale(t.xIndex)+", 0)"})),n.select(this).attr("transform","translate("+t.x+", 0)"),F.each((function(r,n,i){i===t.parent.key&&(e.dimensions[n]=r)})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!M(e)),e.focusLayer.render&&e.focusLayer.render(e.panels)})).on("dragend",(function(t){var e=t.parent;t.x=t.xScale(t.xIndex),t.canvasX=t.x*t.model.canvasPixelRatio,L(F,e),n.select(this).attr("transform",(function(t){return"translate("+t.x+", 0)"})),e.contextLayer&&e.contextLayer.render(e.panels,!1,!M(e)),e.focusLayer&&e.focusLayer.render(e.panels),e.pickLayer&&e.pickLayer.render(e.panels,!0),T.linePickActive(!0),i&&i.axesMoved&&i.axesMoved(e.key,e.dimensions.map((function(t){return t.crossfilterDimensionIndex})))}))),F.exit().remove();var B=F.selectAll("."+g.cn.axisOverlays).data(f,h);B.enter().append("g").classed(g.cn.axisOverlays,!0),B.selectAll("."+g.cn.axis).remove();var N=B.selectAll("."+g.cn.axis).data(f,h);N.enter().append("g").classed(g.cn.axis,!0),N.each((function(t){var e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient("left").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return d.isOrdinal(t)?e:P(t.model.dimensions[t.visibleIndex],e)})).scale(r)),l.font(N.selectAll("text"),t.model.tickFont)})),N.selectAll(".domain, .tick>line").attr("fill","none").attr("stroke","black").attr("stroke-opacity",.25).attr("stroke-width","1px"),N.selectAll("text").style("text-shadow","1px 1px 1px #fff, -1px -1px 1px #fff, 1px -1px 1px #fff, -1px 1px 1px #fff").style("cursor","default");var j=B.selectAll("."+g.cn.axisHeading).data(f,h);j.enter().append("g").classed(g.cn.axisHeading,!0);var U=j.selectAll("."+g.cn.axisTitle).data(f,h);U.enter().append("text").classed(g.cn.axisTitle,!0).attr("text-anchor","middle").style("cursor","ew-resize").style("pointer-events","auto"),U.text((function(t){return t.label})).each((function(e){var r=n.select(this);l.font(r,e.model.labelFont),s.convertToTspans(r,t)})).attr("transform",(function(t){var e=C(t.model.labelAngle,t.model.labelSide),r=g.axisTitleOffset;return(e.dir>0?"":"translate(0,"+(2*r+t.model.height)+")")+"rotate("+e.degrees+")translate("+-r*e.dx+","+-r*e.dy+")"})).attr("text-anchor",(function(t){var e=C(t.model.labelAngle,t.model.labelSide);return 2*Math.abs(e.dx)>Math.abs(e.dy)?e.dir*e.dx<0?"start":"end":"middle"}));var V=B.selectAll("."+g.cn.axisExtent).data(f,h);V.enter().append("g").classed(g.cn.axisExtent,!0);var q=V.selectAll("."+g.cn.axisExtentTop).data(f,h);q.enter().append("g").classed(g.cn.axisExtentTop,!0),q.attr("transform","translate(0,"+-g.axisExtentOffset+")");var H=q.selectAll("."+g.cn.axisExtentTopText).data(f,h);H.enter().append("text").classed(g.cn.axisExtentTopText,!0).call(E),H.text((function(t){return I(t,!0)})).each((function(t){l.font(n.select(this),t.model.rangeFont)}));var G=V.selectAll("."+g.cn.axisExtentBottom).data(f,h);G.enter().append("g").classed(g.cn.axisExtentBottom,!0),G.attr("transform",(function(t){return"translate(0,"+(t.model.height+g.axisExtentOffset)+")"}));var Y=G.selectAll("."+g.cn.axisExtentBottomText).data(f,h);Y.enter().append("text").classed(g.cn.axisExtentBottomText,!0).attr("dy","0.75em").call(E),Y.text((function(t){return I(t,!1)})).each((function(t){l.font(n.select(this),t.model.rangeFont)})),m.ensureAxisBrush(B)}},{"../../components/colorscale":627,"../../components/drawing":637,"../../lib":750,"../../lib/gup":747,"../../lib/svg_text_utils":774,"../../plots/cartesian/axes":799,"./axisbrush":1121,"./constants":1124,"./helpers":1126,"./lines":1128,"color-rgba":127,d3:169}],1131:[function(t,e,r){"use strict";var n=t("./parcoords"),i=t("../../lib/prepare_regl"),a=t("./helpers").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s="dimensions["+n+"].constraintrange",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=a.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[u[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit("plotly_restyle",[{dimensions:[s[e]]},[u[e]]])}})}}},{"../../lib/prepare_regl":763,"./helpers":1126,"./parcoords":1130}],1132:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/domain").attributes,a=t("../../plots/font_attributes"),o=t("../../components/color/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/template_attributes").texttemplateAttrs,c=t("../../lib/extend").extendFlat,u=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});e.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:c({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:c({},u,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:c({},u,{}),position:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"plot"},editType:"plot"},domain:i({name:"pie",trace:!0,editType:"calc"}),hole:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},sort:{valType:"boolean",dflt:!0,editType:"calc"},direction:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"number",min:-360,max:360,dflt:0,editType:"calc"},pull:{valType:"number",min:0,max:1,dflt:0,arrayOk:!0,editType:"calc"},_deprecated:{title:{valType:"string",dflt:"",editType:"calc"},titlefont:c({},u,{}),titleposition:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"calc"}}}},{"../../components/color/attributes":614,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/domain":826,"../../plots/font_attributes":827,"../../plots/template_attributes":877}],1133:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="pie",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":862}],1134:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../../components/color"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o["_"+e.type+"colormap"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return("funnelarea"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":615,"fast-isnumeric":241,tinycolor2:548}],1135:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),h){e._length=h,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var f,p=c("text"),d=c("texttemplate");if(d||(f=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||f&&"none"!==f){var g=c("textposition");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&c("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&c("insidetextorientation")}o(e,n,c);var m=c("hole");if(c("title.text")){var v=c("title.position",m?"middle center":"top center");m||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":750,"../../plots/domain":826,"../bar/defaults":896,"./attributes":1132,"fast-isnumeric":241}],1136:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":651}],1137:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},{"../../lib":750}],1138:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":1132,"./base_plot":1133,"./calc":1134,"./defaults":1135,"./layout_attributes":1139,"./layout_defaults":1140,"./plot":1141,"./style":1142,"./style_one":1143}],1139:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1140:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":750,"./layout_attributes":1139}],1141:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/plots"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=t("../../lib/svg_text_utils"),u=t("../bar/uniform_text"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t("../bar/constants").TEXTPAD,d=t("./helpers"),g=t("./event_data"),m=t("../../lib").isValidTextValue;function v(t,e,r){var i=r[0],o=i.trace,s=i.cx,c=i.cy;"_hasHoverLabel"in o||(o._hasHoverLabel=!1),"_hasHoverEvent"in o||(o._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),u.hovertemplate||"none"!==h&&"skip"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf("label")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf("text")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf("value")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf("percent")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-f*i.r,x1:p+f*i.r,y:m,text:y.join("<br>"),name:u.hovertemplate||-1!==h.indexOf("name")?u.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit("plotly_hover",{points:[g(t,u)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[g(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,i)],a.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var i=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,a=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function x(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h="horizontal"===u,f="tangential"===u,p="radial"===u,d="auto"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a="tan"===i?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,"tan");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),"tan")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),"rad");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),"rad")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||f)&&((a=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,i){e=Math.max(0,e-2*p);var a=t.width/t.height,o=M(a,n,e,r);return{scale:2*o/t.height,rCenter:T(a,o/e),rotate:k(i)}}function w(t,e,r,n,i){e=Math.max(0,e-2*p);var a=t.height/t.width,o=M(a,n,e,r);return{scale:2*o/t.width,rCenter:T(a,o/e),rotate:k(i+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=L(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(h+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?h*=2:-1!==a.title.position.indexOf("right")&&(h+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=C(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+L(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=C(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var h=o*r.vTotal;"funnelarea"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},h=u("label"),f=u("text"),p=u("value"),g=u("percent"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=d.getFirstFilled(i.text,e.pts);(m(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;f("pie",r),x(e,t),P(e,a);var u=l.makeTraceGroups(r._pielayer,e,"trace").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=d.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=I(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(a,s),r.midangle=s,s+=l*r.v/2,n=I(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,i))}(e),u.attr("stroke-linejoin","round"),u.each((function(){var g=n.select(this).selectAll("g.slice").data(e);g.enter().append("g").classed("slice",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(i,a){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=p.index,m[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll("path.surface").data([i]);if(_.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,i.pts)||0;w>0&&(o+=w*i.pxmid[0],u+=w*i.pxmid[1])}i.cxFinal=o,i.cyFinal=u;var T=p.hole;if(i.v===f.vTotal){var k="M"+(o+i.px0[0])+","+(u+i.px0[1])+L(i.px0,i.pxmid,!0,1)+L(i.pxmid,i.px0,!0,1)+"Z";T?_.attr("d","M"+(o+T*i.px0[0])+","+(u+T*i.px0[1])+L(i.px0,i.pxmid,!1,T)+L(i.pxmid,i.px0,!1,T)+"Z"+k):_.attr("d",k)}else{var M=L(i.px0,i.px1,!0,1);if(T){var A=1-T;_.attr("d","M"+(o+T*i.px1[0])+","+(u+T*i.px1[1])+L(i.px1,i.px0,!1,T)+"l"+A*i.px0[0]+","+A*i.px0[1]+M+"Z")}else _.attr("d","M"+o+","+u+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}z(t,i,f);var E=d.castOption(p.textposition,i.pts),C=g.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),m=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,i=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,a=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(p,i,r.font):y(p,i,r.font));g.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if("outside"===E)v=S(_,i);else if(v=b(_,i,f),"auto"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;i.yLabelMin=M-_.height/2,i.yLabelMid=M,i.yLabelMax=M+_.height/2,i.labelExtraX=0,i.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[a].transform=v,g.attr("transform",l.getTextTransform(v))}))}function L(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*f.r+","+n*f.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var _=n.select(this).selectAll("g.titletext").data(p.title.text?[0]:[]);if(_.enter().append("g").classed("titletext",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=p.title.text;p._meta&&(i=l.templateString(i,p._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,p.title.font).call(c.convertToTspans,t),e="middle center"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,a),r.attr("transform","translate("+e.x+","+e.y+")"+(e.scale<1?"scale("+e.scale+")":"")+"translate("+e.tx+","+e.ty+")")})),x&&function(t,e){var r,n,i,a,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr("transform",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+="l"+h*t.pxmid[0]/t.pxmid[1]+","+h+"H"+(a+t.labelExtraX+c):s+="l"+t.labelExtraX+","+u+"v"+(h-u)+"h"+c}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+c;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=a.w*(T.x[1]-T.x[0]),M=a.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/a.w,C=(.5*M-f.r)/a.h;i.autoMargin(t,"pie."+p.uid+".automargin",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{"../../components/color":615,"../../components/drawing":637,"../../components/fx":655,"../../lib":750,"../../lib/svg_text_utils":774,"../../plots/plots":862,"../bar/constants":894,"../bar/uniform_text":908,"./event_data":1136,"./helpers":1137,d3:169}],1142:[function(t,e,r){"use strict";var n=t("d3"),i=t("./style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":908,"./style_one":1143,d3:169}],1143:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./helpers").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":615,"./helpers":1137}],1144:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":1158}],1145:[function(t,e,r){"use strict";var n=t("gl-pointcloud2d"),i=t("../../lib/str2rgbarray"),a=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{"../../lib/str2rgbarray":773,"../../plots/cartesian/autorange":798,"../scatter/get_trace_color":1168,"gl-pointcloud2d":303}],1146:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a("x"),a("y"),a("xbounds"),a("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a("text"),a("marker.color",r),a("marker.opacity"),a("marker.blend"),a("marker.sizemin"),a("marker.sizemax"),a("marker.border.color",r),a("marker.border.arearatio"),e._length=null}},{"../../lib":750,"./attributes":1144}],1147:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../scatter3d/calc"),plot:t("./convert"),moduleType:"trace",name:"pointcloud",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","showLegend"],meta:{}}},{"../../plots/gl2d":839,"../scatter3d/calc":1187,"./attributes":1144,"./convert":1145,"./defaults":1146}],1148:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,h=t("../../lib/extend").extendFlat,f=t("../../plot_api/edit_types").overrideAll;t("../../constants/docs").FORMAT_LINK;(e.exports=f({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s"},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 0,node:{label:{valType:"data_array",dflt:[]},groups:{valType:"info_array",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:"number",editType:"calc"}},x:{valType:"data_array",dflt:[]},y:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:.5,arrayOk:!0}},pad:{valType:"number",arrayOk:!1,min:0,dflt:20},thickness:{valType:"number",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]})},link:{label:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:0,arrayOk:!0}},source:{valType:"data_array",dflt:[]},target:{valType:"data_array",dflt:[]},value:{valType:"data_array",dflt:[]},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]}),colorscales:u("concentrationscales",{editType:"calc",label:{valType:"string",editType:"calc",dflt:""},cmax:{valType:"number",editType:"calc",dflt:1},cmin:{valType:"number",editType:"calc",dflt:0},colorscale:h(c().colorscale,{dflt:[[0,"white"],[1,"black"]]})})}},"calc","nested")).transforms=void 0},{"../../components/color/attributes":614,"../../components/colorscale/attributes":622,"../../components/fx/attributes":646,"../../constants/docs":720,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plot_api/plot_template":788,"../../plots/attributes":795,"../../plots/domain":826,"../../plots/font_attributes":827,"../../plots/template_attributes":877}],1149:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../components/fx/layout_attributes"),s=t("../../lib/setcursor"),l=t("../../components/dragelement"),c=t("../../plots/cartesian/select").prepSelect,u=t("../../lib"),h=t("../../registry");function f(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a="pan"===n.dragmode?"move":"crosshair",o=r._bgRect;if("pan"!==i&&"zoom"!==i){s(o,a);var f={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:f,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[f],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),h.call("_guiRestyle",t,{"node.groups":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name="sankey",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i(t.calcdata,"sankey")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&(n._paperdiv.selectAll(".sankey").remove(),n._paperdiv.selectAll(".bgsankey").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)f(t,e)}},{"../../components/dragelement":634,"../../components/fx/layout_attributes":656,"../../lib":750,"../../lib/setcursor":770,"../../plot_api/edit_types":781,"../../plots/cartesian/select":818,"../../plots/get_data":836,"../../registry":882,"./plot":1154}],1150:[function(t,e,r){"use strict";var n=t("strongly-connected-components"),i=t("../../lib"),a=t("../../lib/gup").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t("../../components/colorscale");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),h=o(a.customdata),f={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var g=a.colorscales[e],m=l.extractScale(g,{cLetter:"c"}),v=l.makeColorScaleFunc(m);p[g.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],M=b+e;w.hasOwnProperty(k)?i.warn("Node "+k+" is already part of a group."):w[k]=M}}var A={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],C=a.target[e];if(S>0&&s(E,b)&&s(C,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(C)||w[E]!==w[C])){w.hasOwnProperty(C)&&(C=w[C]),w.hasOwnProperty(E)&&(E=w[E]),C=+C,f[E=+E]=f[C]=!0;var L="";a.label&&a.label[e]&&(L=a.label[e]);var P=null;L&&p.hasOwnProperty(L)&&(P=p[L]),c.push({pointNumber:e,label:L,color:u?a.color[e]:a.color,customdata:h?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:C,value:+S}),A.source.push(E),A.target.push(C)}}var I=b+_.length,z=o(r.color),O=o(r.customdata),D=[];for(e=0;e<I;e++)if(f[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:z?r.color[e]:r.color,customdata:O?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,A.source,A.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":627,"../../lib":750,"../../lib/gup":747,"strongly-connected-components":541}],1151:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeCapture:"node-capture",nodeCentered:"node-entered",nodeLabelGuide:"node-label-guide",nodeLabel:"node-label",nodeLabelTextPath:"node-label-text-path"}}},{}],1152:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function h(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(f.hoverlabel,t.hoverlabel),g=t.node,m=c.newContainer(e,"node");function v(t,e){return n.coerce(g,m,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(g,m,v,d),v("hovertemplate");var y=f.colorway;v("color",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return n.coerce(x,b,i.link,t,e)}_("label"),_("source"),_("target"),_("value"),_("line.color"),_("line.width"),_("hoverinfo",t.hoverinfo),l(x,b,_,d),_("hovertemplate");var w,T=o(f.paper_bgcolor).getLuminance()<.333?"rgba(255, 255, 255, 0.6)":"rgba(0, 0, 0, 0.2)";_("color",n.repeat(T,b.value.length)),_("customdata"),u(x,b,{name:"colorscales",handleItemDefaults:h}),s(e,f,p),p("orientation"),p("valueformat"),p("valuesuffix"),m.x.length&&m.y.length&&(w="freeform"),p("arrangement",w),n.coerceFont(p,"textfont",n.extendFlat({},f.font)),e._length=null}},{"../../components/color":615,"../../components/fx/hoverlabel_defaults":653,"../../lib":750,"../../plot_api/plot_template":788,"../../plots/array_container_defaults":794,"../../plots/domain":826,"./attributes":1148,tinycolor2:548}],1153:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),moduleType:"trace",name:"sankey",basePlotModule:t("./base_plot"),selectPoints:t("./select.js"),categories:["noOpacity"],meta:{}}},{"./attributes":1148,"./base_plot":1149,"./calc":1150,"./defaults":1152,"./plot":1154,"./select.js":1156}],1154:[function(t,e,r){"use strict";var n=t("d3"),i=t("./render"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../lib"),l=t("./constants").cn,c=s._;function u(t){return""!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function f(t,e){n.select(t).select("path").style("fill-opacity",e),n.select(t).select("rect").style("fill-opacity",e)}function p(t){n.select(t).select("text.name").style("fill","black")}function d(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function m(t,e,r){e&&r&&h(r,e).selectAll("."+l.sankeyLink).filter(d(e)).call(y.bind(0,e,r,!1))}function v(t,e,r){e&&r&&h(r,e).selectAll("."+l.sankeyLink).filter(d(e)).call(x.bind(0,e,r,!1))}function y(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll("."+l.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll("."+l.sankeyNode).filter(g(t)).call(m)}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll("."+l.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(l.sankeyNode).filter(g(t)).call(v)}function b(t,e){var r=t.hoverlabel||{},n=s.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,s=r._paper,h=r._size,d=0;d<t._fullData.length;d++)if(t._fullData[d].visible&&t._fullData[d].type===l.sankey&&!t._fullData[d]._viewInitial){var g=t._fullData[d].node;t._fullData[d]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var _=c(t,"source:")+" ",w=c(t,"target:")+" ",T=c(t,"concentration:")+" ",k=c(t,"incoming flow count:")+" ",M=c(t,"outgoing flow count:")+" ";i(t,s,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y.bind(0,r,i,!0)),"skip"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit("plotly_hover",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var s=i.link.trace.link;if("none"!==s.hoverinfo&&"skip"!==s.hoverinfo){for(var l=[],c=0,h=0;h<i.flow.links.length;h++){var d=i.flow.links[h];if("closest"!==t._fullLayout.hovermode||i.link.pointNumber===d.pointNumber){i.link.pointNumber===d.pointNumber&&(c=h),d.fullData=d.trace,s=i.link.trace.link;var g=v(d),m={valueLabel:n.format(i.valueFormat)(d.value)+i.valueSuffix};l.push({x:g[0],y:g[1],name:m.valueLabel,text:[d.label||"",_+d.source.label,w+d.target.label,d.concentrationscale?T+n.format("%0.2f")(d.flow.labelConcentration):""].filter(u).join("<br>"),color:b(s,"bgcolor")||o.addOpacity(d.color,1),borderColor:b(s,"bordercolor"),fontFamily:b(s,"font.family"),fontSize:b(s,"font.size"),fontColor:b(s,"font.color"),nameLength:b(s,"namelength"),textAlign:b(s,"align"),idealAlign:n.event.x<g[0]?"right":"left",hovertemplate:s.hovertemplate,hovertemplateLabels:m,eventData:[d]})}}a.loneHover(l,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||f(this,.65),p(this)}))}}function v(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return"v"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,i,o,!0)),"skip"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit("plotly_unhover",{event:n.event,points:[i.link]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],a.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,r,i),"skip"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit("plotly_hover",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){var s=n.select(e).select("."+l.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=s.node().getBoundingClientRect(),d=h.left-2-c.left,g=h.right+2-c.left,m=h.top+h.height/4-c.top,v={valueLabel:n.format(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace;var y=a.loneHover({x0:d,x1:g,y:m,name:n.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,k+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(u).join("<br>"),color:b(o,"bgcolor")||i.tinyColorHue,borderColor:b(o,"bordercolor"),fontFamily:b(o,"font.family"),fontSize:b(o,"font.size"),fontColor:b(o,"font.color"),nameLength:b(o,"namelength"),textAlign:b(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,i,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,i,o),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),a.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(v,r,i),a.click(t,{target:!0})}}})}},{"../../components/color":615,"../../components/fx":655,"../../lib":750,"./constants":1151,"./render":1155,d3:169}],1155:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("tinycolor2"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("@plotly/d3-sankey"),c=t("@plotly/d3-sankey-circular"),u=t("d3-force"),h=t("../../lib"),f=t("../../lib/gup"),p=f.keyFun,d=f.repeat,g=f.unwrap,m=t("d3-interpolate").interpolateNumber,v=t("../../registry");function y(t,e,r){var i,o=g(e),s=o.trace,u=s.domain,f="h"===s.orientation,p=s.node.pad,d=s.node.thickness,m=t.width*(u.x[1]-u.x[0]),v=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(i=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[m,v]:[v,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=i();for(var M in i.nodePadding()<p&&h.warn("node.pad was reduced to ",i.nodePadding()," to fit within the figure."),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var o=n[t=i[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=a(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if("snap"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes));i.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:i,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=a(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,"top"===e.circularLinkType?"M "+n.targetX+" "+(n.targetY+r)+" L"+n.rightInnerExtent+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 1 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY-n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.leftInnerExtent+" "+(n.sourceY-r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 0 "+(n.leftFullExtent-r)+" "+(n.sourceY-n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 0 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY-n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" "+(n.targetY-r)+"Z":"M "+n.targetX+" "+(n.targetY-r)+" L"+n.rightInnerExtent+" "+(n.targetY-r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 0 "+(n.rightFullExtent-r)+" "+(n.targetY+n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 0 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY+n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.leftInnerExtent+" "+(n.sourceY+r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 1 "+(n.leftFullExtent-r)+" "+(n.sourceY+n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 1 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY+n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.targetY+r)+"L"+n.targetX+" "+(n.targetY+r)+"Z";var e,r,n,i=t.link.source.x1,a=t.link.target.x0,o=m(i,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return"M"+i+","+c+"C"+s+","+c+" "+l+","+h+" "+a+","+h+"L"+a+","+f+"C"+l+","+f+" "+s+","+u+" "+i+","+u+"Z"}}function _(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u="node_"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join("_"),interactionState:t.interactionState,figure:t}}function w(t){t.attr("transform",(function(t){return"translate("+t.node.x0.toFixed(3)+", "+t.node.y0.toFixed(3)+")"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr("d",b())}function M(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return"translate("+t.translateX+","+t.translateY+")"+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function E(t){return"translate("+(t.horizontal?0:t.labelY)+" "+(t.horizontal?t.labelY:0)+")"}function C(t){return i.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)"}function P(t){return t.horizontal?"scale(1 1)":"scale(-1 1)"}function I(t){return t.darkBackground&&!t.horizontal?"rgb(255,255,255)":"rgb(0,0,0)"}function z(t){return t.horizontal&&t.left?"100%":"0%"}function O(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,a){var o=i.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on("dragstart",(function(i){if("fixed"!==i.arrangement&&(h.ensureSingle(a._fullLayout._infolayer,"g","dragcover",(function(t){a._fullLayout._dragCover=t})),h.raiseToTop(this),i.interactionState.dragInProgress=i.node,F(i.node),i.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,i.interactionState.hovered),i.interactionState.hovered=!1),"snap"===i.arrangement)){var o=i.traceId+"|"+i.key;i.forceLayouts[o]?i.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(a).alphaDecay(0).force("collide",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force("constrain",function(t,e,r,i){return function(){for(var t=0,a=0;a<r.length;a++){var o=r[a];o===i.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(i.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!i.interactionState.dragInProgress&&t<.1&&i.forceLayouts[e].alpha()>0&&i.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,i),function(t,e,r,i,a){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[i].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[i].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,a)}}))}(t,e,i,o,a)}})).on("drag",(function(r){if("fixed"!==r.arrangement){var n=i.event.x,a=i.event.y;"snap"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2):("freeform"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),a=Math.max(0,Math.min(r.size-r.visibleHeight/2,a)),r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2),F(r.node),"snap"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on("dragend",(function(t){if("fixed"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;"snap"!==t.arrangement&&R(t,a)}}));t.on(".drag",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}v.call("_guiRestyle",e,{"node.x":[r],"node.y":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,"g","first-render",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll("."+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append("g").classed(n.cn.sankey,!0).style("box-sizing","content-box").style("position","absolute").style("left",0).style("shape-rendering","geometricPrecision").style("pointer-events","auto").attr("transform",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n="bgsankey-"+e.trace.uid+"-"+r;h.ensureSingle(t._fullLayout._draggers,"rect",n),t._fullData[r]._bgRect=i.select("."+n),t._fullData[r]._bgRect.style("pointer-events","all").attr("width",e.width).attr("height",e.height).attr("x",e.translateX).attr("y",e.translateY).classed("bgsankey",!0).style({fill:"transparent","stroke-width":0})})),v.transition().ease(n.ease).duration(n.duration).attr("transform",S);var T=v.selectAll("."+n.cn.sankeyLinks).data(d,p);T.enter().append("g").classed(n.cn.sankeyLinks,!0).style("fill","none");var k=T.selectAll("."+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append("path").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style("stroke",(function(t){return A(t)?o.tinyRGB(a(t.linkLineColor)):t.tinyColorHue})).style("stroke-opacity",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style("fill",(function(t){return t.tinyColorHue})).style("fill-opacity",(function(t){return t.tinyColorAlpha})).style("stroke-width",(function(t){return A(t)?t.linkLineWidth:1})).attr("d",b()),k.style("opacity",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style("opacity",1),k.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var R=v.selectAll("."+n.cn.sankeyNodeSet).data(d,p);R.enter().append("g").classed(n.cn.sankeyNodeSet,!0),R.style("cursor",(function(t){switch(t.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}}));var F=R.selectAll("."+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append("g").classed(n.cn.sankeyNode,!0).call(w).style("opacity",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style("opacity",(function(t){return t.partOfGroup?0:1})),F.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var B=F.selectAll("."+n.cn.nodeRect).data(d);B.enter().append("rect").classed(n.cn.nodeRect,!0).call(M),B.style("stroke-width",(function(t){return t.nodeLineWidth})).style("stroke",(function(t){return o.tinyRGB(a(t.nodeLineColor))})).style("stroke-opacity",(function(t){return o.opacity(t.nodeLineColor)})).style("fill",(function(t){return t.tinyColorHue})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),B.transition().ease(n.ease).duration(n.duration).call(M);var N=F.selectAll("."+n.cn.nodeCapture).data(d);N.enter().append("rect").classed(n.cn.nodeCapture,!0).style("fill-opacity",0),N.attr("x",(function(t){return t.zoneX})).attr("y",(function(t){return t.zoneY})).attr("width",(function(t){return t.zoneWidth})).attr("height",(function(t){return t.zoneHeight}));var j=F.selectAll("."+n.cn.nodeCentered).data(d);j.enter().append("g").classed(n.cn.nodeCentered,!0).attr("transform",E),j.transition().ease(n.ease).duration(n.duration).attr("transform",E);var U=j.selectAll("."+n.cn.nodeLabelGuide).data(d);U.enter().append("path").classed(n.cn.nodeLabelGuide,!0).attr("id",(function(t){return t.uniqueNodeLabelPathId})).attr("d",C).attr("transform",L),U.transition().ease(n.ease).duration(n.duration).attr("d",C).attr("transform",L);var V=j.selectAll("."+n.cn.nodeLabel).data(d);V.enter().append("text").classed(n.cn.nodeLabel,!0).attr("transform",P).style("cursor","default").style("fill","black"),V.style("text-shadow",(function(t){return t.horizontal?"-1px 1px 1px #fff, 1px 1px 1px #fff, 1px -1px 1px #fff, -1px -1px 1px #fff":"none"})).each((function(t){s.font(V,t.textFont)})),V.transition().ease(n.ease).duration(n.duration).attr("transform",P);var q=V.selectAll("."+n.cn.nodeLabelTextPath).data(d);q.enter().append("textPath").classed(n.cn.nodeLabelTextPath,!0).attr("alignment-baseline","middle").attr("xlink:href",(function(t){return"#"+t.uniqueNodeLabelPathId})).attr("startOffset",z).style("fill",I),q.text((function(t){return t.horizontal||t.node.dy>5?t.node.label:""})).attr("text-anchor",(function(t){return t.horizontal&&t.left?"end":"start"})),q.transition().ease(n.ease).duration(n.duration).attr("startOffset",z).style("fill",I)}},{"../../components/color":615,"../../components/drawing":637,"../../lib":750,"../../lib/gup":747,"../../registry":882,"./constants":1151,"@plotly/d3-sankey":56,"@plotly/d3-sankey-circular":55,d3:169,"d3-force":160,"d3-interpolate":162,tinycolor2:548}],1156:[function(t,e,r){"use strict";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var s=[(o.x0+o.x1)/2,(o.y0+o.y1)/2];"v"===n.orientation&&s.reverse(),e&&e.contains(s,!1,a,t)&&r.push({pointNumber:o.pointNumber})}}return r}},{}],1157:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.texttemplate,t,"txt"),n.mergeArray(e.hovertext,t,"htx"),n.mergeArray(e.customdata,t,"data"),n.mergeArray(e.textposition,t,"tp"),e.textfont&&(n.mergeArrayCastPositive(e.textfont.size,t,"ts"),n.mergeArray(e.textfont.color,t,"tc"),n.mergeArray(e.textfont.family,t,"tf"));var i=e.marker;if(i){n.mergeArrayCastPositive(i.size,t,"ms"),n.mergeArrayCastPositive(i.opacity,t,"mo"),n.mergeArray(i.symbol,t,"mx"),n.mergeArray(i.color,t,"mc");var a=i.line;i.line&&(n.mergeArray(a.color,t,"mlc"),n.mergeArrayCastPositive(a.width,t,"mlw"));var o=i.gradient;o&&"none"!==o.type&&(n.mergeArray(o.type,t,"mgt"),n.mergeArray(o.color,t,"mgc"))}}},{"../../lib":750}],1158:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").texttemplateAttrs,i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../components/colorscale/attributes"),o=t("../../plots/font_attributes"),s=t("../../components/drawing/attributes").dash,l=t("../../components/drawing"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dx:{valType:"number",dflt:1,editType:"calc",anim:!0},y:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dy:{valType:"number",dflt:1,editType:"calc",anim:!0},xperiod:{valType:"any",dflt:0,editType:"calc"},yperiod:{valType:"any",dflt:0,editType:"calc"},xperiod0:{valType:"any",editType:"calc"},yperiod0:{valType:"any",editType:"calc"},xperiodalignment:{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc"},yperiodalignment:{valType:"enumerated",values:["start","middle","end"],dflt:"middle",editType:"calc"},stackgroup:{valType:"string",dflt:"",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc"},groupnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},stackgaps:{valType:"enumerated",values:["infer zero","interpolate"],dflt:"infer zero",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},texttemplate:n({},{}),hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"],editType:"calc"},hoveron:{valType:"flaglist",flags:["points","fills"],editType:"style"},hovertemplate:i({},{keys:c.eventDataKeys}),line:{color:{valType:"color",editType:"style",anim:!0},width:{valType:"number",min:0,dflt:2,editType:"style",anim:!0},shape:{valType:"enumerated",values:["linear","spline","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot"},smoothing:{valType:"number",min:0,max:1.3,dflt:1,editType:"plot"},dash:u({},s,{editType:"style"}),simplify:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},cliponaxis:{valType:"boolean",dflt:!0,editType:"plot"},fill:{valType:"enumerated",values:["none","tozeroy","tozerox","tonexty","tonextx","toself","tonext"],editType:"calc"},fillcolor:{valType:"color",editType:"style",anim:!0},marker:u({symbol:{valType:"enumerated",values:l.symbolList,dflt:"circle",arrayOk:!0,editType:"style"},opacity:{valType:"number",min:0,max:1,arrayOk:!0,editType:"style",anim:!0},size:{valType:"number",min:0,dflt:6,arrayOk:!0,editType:"calc",anim:!0},maxdisplayed:{valType:"number",min:0,dflt:0,editType:"plot"},sizeref:{valType:"number",dflt:1,editType:"calc"},sizemin:{valType:"number",min:0,dflt:0,editType:"calc"},sizemode:{valType:"enumerated",values:["diameter","area"],dflt:"diameter",editType:"calc"},line:u({width:{valType:"number",min:0,arrayOk:!0,editType:"style",anim:!0},editType:"calc"},a("marker.line",{anim:!0})),gradient:{type:{valType:"enumerated",values:["radial","horizontal","vertical","none"],arrayOk:!0,dflt:"none",editType:"calc"},color:{valType:"color",arrayOk:!0,editType:"calc"},editType:"calc"},editType:"calc"},a("marker",{anim:!0})),selected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style"},color:{valType:"color",editType:"style"},size:{valType:"number",min:0,editType:"style"},editType:"style"},textfont:{color:{valType:"color",editType:"style"},editType:"style"},editType:"style"},unselected:{marker:{opacity:{valType:"number",min:0,max:1,editType:"style"},color:{valType:"color",editType:"style"},size:{valType:"number",min:0,editType:"style"},editType:"style"},textfont:{color:{valType:"color",editType:"style"},editType:"style"},editType:"style"},textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"middle center",arrayOk:!0,editType:"calc"},textfont:o({editType:"calc",colorEditType:"style",arrayOk:!0}),r:{valType:"data_array",editType:"calc"},t:{valType:"data_array",editType:"calc"}}},{"../../components/colorscale/attributes":622,"../../components/drawing":637,"../../components/drawing/attributes":636,"../../lib/extend":740,"../../plots/font_attributes":827,"../../plots/template_attributes":877,"./constants":1162}],1159:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/align_period"),s=t("../../constants/numerical").BADNUM,l=t("./subtypes"),c=t("./colorscale_calc"),u=t("./arrays_to_calcdata"),h=t("./calc_selection");function f(t,e,r,n,i,o,s){var c=e._length,u=t._fullLayout,h=r._id,f=n._id,p=u._firstScatter[g(e)]===e.uid,d=(m(e,u,r,n)||{}).orientation,v=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),h&&(e._extremes[h]=a.findExtremes(r,i,y)),f&&(e._extremes[f]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}function d(t,e){var r=g(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function g(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function m(t,e,r,n){var i=t.stackgroup;if(i){var a=e._scatterStackOpts[r._id+n._id][i],o="v"===a.orientation?n:r;return"linear"===o.type||"log"===o.type?a:void 0}}e.exports={calc:function(t,e){var r,l,g,v,y,x,b=t._fullLayout,_=a.getFromId(t,e.xaxis||"x"),w=a.getFromId(t,e.yaxis||"y"),T=_.makeCalcdata(e,"x"),k=w.makeCalcdata(e,"y"),M=o(e,_,"x",T),A=o(e,w,"y",k),S=e._length,E=new Array(S),C=e.ids,L=m(e,b,_,w),P=!1;d(b,e);var I,z="x",O="y";L?(i.pushUnique(L.traceIndices,e._expandedIndex),(r="v"===L.orientation)?(O="s",I="x"):(z="s",I="y"),y="interpolate"===L.stackgaps):f(t,e,_,w,M,A,p(e,S));var D=!!e.xperiodalignment,R=!!e.yperiodalignment;for(l=0;l<S;l++){var F=E[l]={},B=n(M[l]),N=n(A[l]);B&&N?(F[z]=M[l],F[O]=A[l],D&&(F.orig_x=T[l]),R&&(F.orig_y=k[l])):L&&(r?B:N)?(F[I]=r?M[l]:A[l],F.gap=!0,y?(F.s=s,P=!0):F.s=0):F[z]=F[O]=s,C&&(F.id=String(C[l]))}if(u(E,e),c(t,e),h(E,e),L){for(l=0;l<E.length;)E[l][I]===s?E.splice(l,1):l++;if(i.sort(E,(function(t,e){return t[I]-e[I]||t.i-e.i})),P){for(l=0;l<E.length-1&&E[l].gap;)l++;for((x=E[l].s)||(x=E[l].s=0),g=0;g<l;g++)E[g].s=x;for(v=E.length-1;v>l&&E[v].gap;)v--;for(x=E[v].s,g=E.length-1;g>v;g--)E[g].s=x;for(;l<v;)if(E[++l].gap){for(g=l+1;E[g].gap;)g++;for(var j=E[l-1][I],U=E[l-1].s,V=(E[g].s-U)/(E[g][I]-j);l<g;)E[l].s=U+(E[l][I]-j)*V,l++}}}return E},calcMarkerSize:p,calcAxisExpansion:f,setFirstScatter:d,getStackOpts:m}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"./arrays_to_calcdata":1157,"./calc_selection":1160,"./colorscale_calc":1161,"./subtypes":1183,"fast-isnumeric":241}],1160:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{"../../lib":750}],1161:[function(t,e,r){"use strict";var n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},{"../../components/colorscale/calc":623,"../../components/colorscale/helpers":626,"./subtypes":1183}],1162:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1163:[function(t,e,r){"use strict";var n=t("./calc");function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}e.exports=function(t,e){var r=e.xaxis,a=e.yaxis,o=r._id+a._id,s=t._fullLayout._scatterStackOpts[o];if(s){var l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T=t.calcdata;for(var k in s){var M=(v=s[k]).traceIndices;if(M.length){for(y="interpolate"===v.stackgaps,x=v.groupnorm,"v"===v.orientation?(b="x",_="y"):(b="y",_="x"),w=new Array(M.length),l=0;l<w.length;l++)w[l]=!1;p=T[M[0]];var A=new Array(p.length);for(l=0;l<p.length;l++)A[l]=p[l][b];for(l=1;l<M.length;l++){for(f=T[M[l]],c=u=0;c<f.length;c++){for(d=f[c][b];d>A[u]&&u<A.length;u++)i(f,c,A[u],l,w,y,b),c++;if(d!==A[u]){for(h=0;h<l;h++)i(T[M[h]],u,d,h,w,y,b);A.splice(u,0,d)}u++}for(;u<A.length;u++)i(f,c,A[u],l,w,y,b),c++}var S=A.length;for(c=0;c<p.length;c++){for(g=p[c][_]=p[c].s,l=1;l<M.length;l++)(f=T[M[l]])[0].trace._rawLength=f[0].trace._length,f[0].trace._length=S,g+=f[c].s,f[c][_]=g;if(x)for(m=("fraction"===x?g:g/100)||1,l=0;l<M.length;l++){var E=T[M[l]][c];E[_]/=m,E.sNorm=E.s/m}}for(l=0;l<M.length;l++){var C=(f=T[M[l]])[0].trace,L=n.calcMarkerSize(C,C._rawLength),P=Array.isArray(L);if(L&&w[l]||P){var I=L;for(L=new Array(S),c=0;c<S;c++)L[c]=f[c].gap?0:P?I[f[c].i]:I}var z=new Array(S),O=new Array(S);for(c=0;c<S;c++)z[c]=f[c].x,O[c]=f[c].y;n.calcAxisExpansion(t,C,r,a,z,O,L),f[0].t.orientation=v.orientation}}}}}},{"./calc":1159}],1164:[function(t,e,r){"use strict";e.exports=function(t){for(var e=0;e<t.length;e++){var r=t[e];if("scatter"===r.type){var n=r.fill;if("none"!==n&&"toself"!==n&&(r.opacity=void 0,"tonexty"===n||"tonextx"===n))for(var i=e-1;i>=0;i--){var a=t[i];if("scatter"===a.type&&a.xaxis===r.xaxis&&a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],1165:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("./constants"),s=t("./subtypes"),l=t("./xy_defaults"),c=t("./period_defaults"),u=t("./stack_defaults"),h=t("./marker_defaults"),f=t("./line_defaults"),p=t("./line_shape_defaults"),d=t("./text_defaults"),g=t("./fillcolor_defaults");e.exports=function(t,e,r,m){function v(r,i){return n.coerce(t,e,a,r,i)}var y=l(t,e,m,v);if(y||(e.visible=!1),e.visible){c(t,e,m,v);var x=u(t,e,m,v),b=!x&&y<o.PTS_LINESONLY?"lines+markers":"lines";v("text"),v("hovertext"),v("mode",b),s.hasLines(e)&&(f(t,e,r,m,v),p(t,e,v),v("connectgaps"),v("line.simplify")),s.hasMarkers(e)&&h(t,e,r,m,v,{gradient:!0}),s.hasText(e)&&(v("texttemplate"),d(t,e,m,v));var _=[];(s.hasMarkers(e)||s.hasText(e))&&(v("cliponaxis"),v("marker.maxdisplayed"),_.push("points")),v("fill",x?x.fillDflt:"none"),"none"!==e.fill&&(g(t,e,r,v),s.hasLines(e)||p(t,e,v));var w=(e.line||{}).color,T=(e.marker||{}).color;"tonext"!==e.fill&&"toself"!==e.fill||_.push("fills"),v("hoveron",_.join("+")||"points"),"fills"!==e.hoveron&&v("hovertemplate");var k=i.getComponentMethod("errorbars","supplyDefaults");k(t,e,w||T||r,{axis:"y"}),k(t,e,w||T||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,v)}}},{"../../lib":750,"../../registry":882,"./attributes":1158,"./constants":1162,"./fillcolor_defaults":1166,"./line_defaults":1171,"./line_shape_defaults":1173,"./marker_defaults":1177,"./period_defaults":1178,"./stack_defaults":1181,"./subtypes":1183,"./text_defaults":1184,"./xy_defaults":1185}],1166:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../lib").isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&&!i(s)?o=s:l&&!i(l)&&(o=l)}a("fillcolor",n.addOpacity((e.line||{}).color||o||r,.5))}},{"../../components/color":615,"../../lib":750}],1167:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a={_fullLayout:r},o=n.getFromTrace(a,e,"x"),s=n.getFromTrace(a,e,"y");return i.xLabel=n.tickText(o,t.x,!0).text,i.yLabel=n.tickText(s,t.y,!0).text,i}},{"../../plots/cartesian/axes":799}],1168:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./subtypes");e.exports=function(t,e){var r,a;if("lines"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if("none"===t.mode)return t.fill?t.fillcolor:"";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return(a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:"")?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color)&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor}},{"../../components/color":615,"./subtypes":1183}],1169:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/fx"),a=t("../../registry"),o=t("./get_trace_color"),s=t("../../components/color"),l=n.fillText;e.exports=function(t,e,r,c){var u=t.cd,h=u[0].trace,f=t.xa,p=t.ya,d=f.c2p(e),g=p.c2p(r),m=[d,g],v=h.hoveron||"",y=-1!==h.mode.indexOf("markers")?3:.5;if(-1!==v.indexOf("points")){var x=function(t){var e=Math.max(y,t.mrc||0),r=f.c2p(t.x)-d,n=p.c2p(t.y)-g;return Math.max(Math.sqrt(r*r+n*n)-e,1-y/e)},b=i.getDistanceFunction(c,(function(t){var e=Math.max(3,t.mrc||0),r=1-1/e,n=Math.abs(f.c2p(t.x)-d);return n<e?r*n/e:n-e+r}),(function(t){var e=Math.max(3,t.mrc||0),r=1-1/e,n=Math.abs(p.c2p(t.y)-g);return n<e?r*n/e:n-e+r}),x);if(i.getClosest(u,b,t),!1!==t.index){var _=u[t.index],w=f.c2p(_.x,!0),T=p.c2p(_.y,!0),k=_.mrc||1;t.index=_.i;var M=u[0].t.orientation,A=M&&(_.sNorm||_.s),S="h"===M?A:void 0!==_.orig_x?_.orig_x:_.x,E="v"===M?A:void 0!==_.orig_y?_.orig_y:_.y;return n.extendFlat(t,{color:o(h,_),x0:w-k,x1:w+k,xLabelVal:S,y0:T-k,y1:T+k,yLabelVal:E,spikeDistance:x(_),hovertemplate:h.hovertemplate}),l(_,h,t),a.getComponentMethod("errorbars","hoverInfo")(_,h,t),[t]}}if(-1!==v.indexOf("fills")&&h._polygons){var C,L,P,I,z,O,D,R,F,B=h._polygons,N=[],j=!1,U=1/0,V=-1/0,q=1/0,H=-1/0;for(C=0;C<B.length;C++)(P=B[C]).contains(m)&&(j=!j,N.push(P),q=Math.min(q,P.ymin),H=Math.max(H,P.ymax));if(j){var G=((q=Math.max(q,0))+(H=Math.min(H,p._length)))/2;for(C=0;C<N.length;C++)for(I=N[C].pts,L=1;L<I.length;L++)(R=I[L-1][1])>G!=(F=I[L][1])>=G&&(O=I[L-1][0],D=I[L][0],F-R&&(z=O+(D-O)*(G-R)/(F-R),U=Math.min(U,z),V=Math.max(V,z)));U=Math.max(U,0),V=Math.min(V,f._length);var Y=s.defaultLine;return s.opacity(h.fillcolor)?Y=h.fillcolor:s.opacity((h.line||{}).color)&&(Y=h.line.color),n.extendFlat(t,{distance:t.maxHoverDistance,x0:U,x1:V,y0:G,y1:G,color:Y,hovertemplate:!1}),delete t.index,h.text&&!Array.isArray(h.text)?t.text=String(h.text):t.text=h.name,[t]}}}},{"../../components/color":615,"../../components/fx":655,"../../lib":750,"../../registry":882,"./get_trace_color":1168}],1170:[function(t,e,r){"use strict";var n=t("./subtypes");e.exports={hasLines:n.hasLines,hasMarkers:n.hasMarkers,hasText:n.hasText,isBubble:n.isBubble,attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./cross_trace_calc"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot"),colorbar:t("./marker_colorbar"),formatLabels:t("./format_labels"),style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("./select"),animatable:!0,moduleType:"trace",name:"scatter",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","errorBarsOK","showLegend","scatter-like","zoomScale"],meta:{}}},{"../../plots/cartesian":812,"./arrays_to_calcdata":1157,"./attributes":1158,"./calc":1159,"./cross_trace_calc":1163,"./cross_trace_defaults":1164,"./defaults":1165,"./format_labels":1167,"./hover":1169,"./marker_colorbar":1176,"./plot":1179,"./select":1180,"./style":1182,"./subtypes":1183}],1171:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults");e.exports=function(t,e,r,o,s,l){var c=(t.marker||{}).color;(s("line.color",r),i(t,"line"))?a(t,e,o,s,{prefix:"line.",cLetter:"c"}):s("line.color",!n(c)&&c||r);s("line.width"),(l||{}).noDash||s("line.dash")}},{"../../components/colorscale/defaults":625,"../../components/colorscale/helpers":626,"../../lib":750}],1172:[function(t,e,r){"use strict";var n=t("../../constants/numerical"),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t("../../lib"),c=l.segmentsIntersect,u=l.constrain,h=t("./constants");e.exports=function(t,e){var r,n,a,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S=e.xaxis,E=e.yaxis,C="log"===S.type,L="log"===E.type,P=S._length,I=E._length,z=e.connectGaps,O=e.baseTolerance,D=e.shape,R="linear"===D,F=e.fill&&"none"!==e.fill,B=[],N=h.minTolerance,j=t.length,U=new Array(j),V=0;function q(r){var n=t[r];if(!n)return!1;var a=e.linearized?S.l2p(n.x):S.c2p(n.x),l=e.linearized?E.l2p(n.y):E.c2p(n.y);if(a===i){if(C&&(a=S.c2p(n.x,!0)),a===i)return!1;L&&l===i&&(a*=Math.abs(S._m*I*(S._m>0?o:s)/(E._m*P*(E._m>0?o:s)))),a*=1e3}if(l===i){if(L&&(l=E.c2p(n.y,!0)),l===i)return!1;l*=1e3}return[a,l]}function H(t,e,r,n){var i=r-t,a=n-e,o=.5-t,s=.5-e,l=i*i+a*a,c=i*o+a*s;if(c>0&&c<l){var u=o*a-s*i;if(u*u<l)return!0}}function G(t,e){var r=t[0]/P,n=t[1]/I,i=Math.max(0,-r,r-1,-n,n-1);return i&&void 0!==M&&H(r,n,M,A)&&(i=0),i&&e&&H(r,n,e[0]/P,e[1]/I)&&(i=0),(1+h.toleranceGrowth*i)*O}function Y(t,e){var r=t[0]-e[0],n=t[1]-e[1];return Math.sqrt(r*r+n*n)}var W,Z,X,J,K,Q,$,tt=h.maxScreensAway,et=-P*tt,rt=P*(1+tt),nt=-I*tt,it=I*(1+tt),at=[[et,nt,rt,nt],[rt,nt,rt,it],[rt,it,et,it],[et,it,et,nt]];function ot(t){if(t[0]<et||t[0]>rt||t[1]<nt||t[1]>it)return[u(t[0],et,rt),u(t[1],nt,it)]}function st(t,e){return t[0]===e[0]&&(t[0]===et||t[0]===rt)||(t[1]===e[1]&&(t[1]===nt||t[1]===it)||void 0)}function lt(t,e,r){return function(n,i){var a=ot(n),o=ot(i),s=[];if(a&&o&&st(a,o))return s;a&&s.push(a),o&&s.push(o);var c=2*l.constrain((n[t]+i[t])/2,e,r)-((a||n)[t]+(o||i)[t]);c&&((a&&o?c>0==a[t]>o[t]?a:o:a||o)[t]+=c);return s}}function ct(t){var e=t[0],r=t[1],n=e===U[V-1][0],i=r===U[V-1][1];if(!n||!i)if(V>1){var a=e===U[V-2][0],o=r===U[V-2][1];n&&(e===et||e===rt)&&a?o?V--:U[V-1]=t:i&&(r===nt||r===it)&&o?a?V--:U[V-1]=t:U[V++]=t}else U[V++]=t}function ut(t){U[V-1][0]!==t[0]&&U[V-1][1]!==t[1]&&ct([X,J]),ct(t),K=null,X=J=0}function ht(t){if(M=t[0]/P,A=t[1]/I,W=t[0]<et?et:t[0]>rt?rt:0,Z=t[1]<nt?nt:t[1]>it?it:0,W||Z){if(V)if(K){var e=$(K,t);e.length>1&&(ut(e[0]),U[V++]=e[1])}else Q=$(U[V-1],t)[0],U[V++]=Q;else U[V++]=[W||t[0],Z||t[1]];var r=U[V-1];W&&Z&&(r[0]!==W||r[1]!==Z)?(K&&(X!==W&&J!==Z?ct(X&&J?(n=K,a=(i=t)[0]-n[0],o=(i[1]-n[1])/a,(n[1]*i[0]-i[1]*n[0])/a>0?[o>0?et:rt,it]:[o>0?rt:et,nt]):[X||W,J||Z]):X&&J&&ct([X,J])),ct([W,Z])):X-W&&J-Z&&ct([W||X,Z||J]),K=t,X=W,J=Z}else K&&ut($(K,t)[0]),U[V++]=t;var n,i,a,o}for("linear"===D||"spline"===D?$=function(t,e){for(var r=[],n=0,i=0;i<4;i++){var a=at[i],o=c(t[0],t[1],e[0],e[1],a[0],a[1],a[2],a[3]);o&&(!n||Math.abs(o.x-r[0][0])>1||Math.abs(o.y-r[0][1])>1)&&(o=[o.x,o.y],n&&Y(o,t)<Y(r[0],t)?r.unshift(o):r.push(o),n++)}return r}:"hv"===D||"vh"===D?$=function(t,e){var r=[],n=ot(t),i=ot(e);return n&&i&&st(n,i)||(n&&r.push(n),i&&r.push(i)),r}:"hvh"===D?$=lt(0,et,rt):"vhv"===D&&($=lt(1,nt,it)),r=0;r<j;r++)if(n=q(r)){for(V=0,K=null,ht(n),r++;r<j;r++){if(!(f=q(r))){if(z)continue;break}if(R&&e.simplify){var ft=q(r+1);if(y=Y(f,n),F&&(0===V||V===j-1)||!(y<G(f,ft)*N)){for(m=[(f[0]-n[0])/y,(f[1]-n[1])/y],p=n,x=y,b=w=T=0,g=!1,a=f,r++;r<t.length;r++){if(d=ft,ft=q(r+1),!d){if(z)continue;break}if(k=(v=[d[0]-n[0],d[1]-n[1]])[0]*m[1]-v[1]*m[0],w=Math.min(w,k),(T=Math.max(T,k))-w>G(d,ft))break;a=d,(_=v[0]*m[0]+v[1]*m[1])>x?(x=_,f=d,g=!1):_<b&&(b=_,p=d,g=!0)}if(g?(ht(f),a!==p&&ht(p)):(p!==n&&ht(p),a!==f&&ht(f)),ht(a),r>=t.length||!d)break;ht(d),n=d}}else ht(f)}K&&ct([X||K[0],J||K[1]]),B.push(U.slice(0,V))}return B}},{"../../constants/numerical":725,"../../lib":750,"./constants":1162}],1173:[function(t,e,r){"use strict";e.exports=function(t,e,r){"spline"===r("line.shape")&&r("line.smoothing")}},{}],1174:[function(t,e,r){"use strict";var n={tonextx:1,tonexty:1,tonext:1};e.exports=function(t,e,r){var i,a,o,s,l,c={},u=!1,h=-1,f=0,p=-1;for(a=0;a<r.length;a++)(o=(i=r[a][0].trace).stackgroup||"")?o in c?l=c[o]:(l=c[o]=f,f++):i.fill in n&&p>=0?l=p:(l=p=f,f++),l<h&&(u=!0),i._groupIndex=h=l;var d=r.slice();u&&d.sort((function(t,e){var r=t[0].trace,n=e[0].trace;return r._groupIndex-n._groupIndex||r.index-n.index}));var g={};for(a=0;a<d.length;a++)o=(i=d[a][0].trace).stackgroup||"",!0===i.visible?(i._nexttrace=null,i.fill in n&&(s=g[o],i._prevtrace=s||null,s&&(s._nexttrace=i)),i._ownfill=i.fill&&("tozero"===i.fill.substr(0,6)||"toself"===i.fill||"to"===i.fill.substr(0,2)&&!i._prevtrace),g[o]=i):i._prevtrace=i._nexttrace=i._ownfill=null;return d}},{}],1175:[function(t,e,r){"use strict";var n=t("fast-isnumeric");e.exports=function(t){var e=t.marker,r=e.sizeref||1,i=e.sizemin||0,a="area"===e.sizemode?function(t){return Math.sqrt(t/r)}:function(t){return t/r};return function(t){var e=a(t/2);return n(e)&&e>0?Math.max(e,i):0}}},{"fast-isnumeric":241}],1176:[function(t,e,r){"use strict";e.exports={container:"marker",min:"cmin",max:"cmax"}},{}],1177:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("./subtypes");e.exports=function(t,e,r,s,l,c){var u=o.isBubble(t),h=(t.line||{}).color;(c=c||{},h&&(r=h),l("marker.symbol"),l("marker.opacity",u?.7:1),l("marker.size"),l("marker.color",r),i(t,"marker")&&a(t,e,s,l,{prefix:"marker.",cLetter:"c"}),c.noSelect||(l("selected.marker.color"),l("unselected.marker.color"),l("selected.marker.size"),l("unselected.marker.size")),c.noLine||(l("marker.line.color",h&&!Array.isArray(h)&&e.marker.color!==h?h:u?n.background:n.defaultLine),i(t,"marker.line")&&a(t,e,s,l,{prefix:"marker.line.",cLetter:"c"}),l("marker.line.width",u?1:0)),u&&(l("marker.sizeref"),l("marker.sizemin"),l("marker.sizemode")),c.gradient)&&("none"!==l("marker.gradient.type")&&l("marker.gradient.color"))}},{"../../components/color":615,"../../components/colorscale/defaults":625,"../../components/colorscale/helpers":626,"./subtypes":1183}],1178:[function(t,e,r){"use strict";var n=t("../../lib").dateTick0,i=t("../../constants/numerical").ONEWEEK;function a(t,e){return n(e,t%i==0?1:0)}e.exports=function(t,e,r,n,i){if(i||(i={x:!0,y:!0}),i.x){var o=n("xperiod");o&&(n("xperiod0",a(o,e.xcalendar)),n("xperiodalignment"))}if(i.y){var s=n("yperiod");s&&(n("yperiod0",a(s,e.ycalendar)),n("yperiodalignment"))}}},{"../../constants/numerical":725,"../../lib":750}],1179:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../lib"),o=a.ensureSingle,s=a.identity,l=t("../../components/drawing"),c=t("./subtypes"),u=t("./line_points"),h=t("./link_traces"),f=t("../../lib/polygon").tester;function p(t,e,r,h,p,d,g){var m;!function(t,e,r,i,o){var s=r.xaxis,l=r.yaxis,u=n.extent(a.simpleMap(s.range,s.r2c)),h=n.extent(a.simpleMap(l.range,l.r2c)),f=i[0].trace;if(!c.hasMarkers(f))return;var p=f.marker.maxdisplayed;if(0===p)return;var d=i.filter((function(t){return t.x>=u[0]&&t.x<=u[1]&&t.y>=h[0]&&t.y<=h[1]})),g=Math.ceil(d.length/p),m=0;o.forEach((function(t,r){var n=t[0].trace;c.hasMarkers(n)&&n.marker.maxdisplayed>0&&r<e&&m++}));var v=Math.round(m*g/3+Math.floor(m/3)*g/7.1);i.forEach((function(t){delete t.vis})),d.forEach((function(t,e){0===Math.round((e+v)%g)&&(t.vis=!0)}))}(0,e,r,h,p);var v=!!g&&g.duration>0;function y(t){return v?t.transition():t}var x=r.xaxis,b=r.yaxis,_=h[0].trace,w=_.line,T=n.select(d),k=o(T,"g","errorbars"),M=o(T,"g","lines"),A=o(T,"g","points"),S=o(T,"g","text");if(i.getComponentMethod("errorbars","plot")(t,k,r,g),!0===_.visible){var E,C;y(T).style("opacity",_.opacity);var L=_.fill.charAt(_.fill.length-1);"x"!==L&&"y"!==L&&(L=""),h[0][r.isRangePlot?"nodeRangePlot3":"node3"]=T;var P,I,z="",O=[],D=_._prevtrace;D&&(z=D._prevRevpath||"",C=D._nextFill,O=D._polygons);var R,F,B,N,j,U,V,q="",H="",G=[],Y=a.noop;if(E=_._ownFill,c.hasLines(_)||"none"!==_.fill){for(C&&C.datum(h),-1!==["hv","vh","hvh","vhv"].indexOf(w.shape)?(R=l.steps(w.shape),F=l.steps(w.shape.split("").reverse().join(""))):R=F="spline"===w.shape?function(t){var e=t[t.length-1];return t.length>1&&t[0][0]===e[0]&&t[0][1]===e[1]?l.smoothclosed(t.slice(1),w.smoothing):l.smoothopen(t,w.smoothing)}:function(t){return"M"+t.join("L")},B=function(t){return F(t.reverse())},G=u(h,{xaxis:x,yaxis:b,connectGaps:_.connectgaps,baseTolerance:Math.max(w.width||1,3)/4,shape:w.shape,simplify:w.simplify,fill:_.fill}),V=_._polygons=new Array(G.length),m=0;m<G.length;m++)_._polygons[m]=f(G[m]);G.length&&(N=G[0][0],U=(j=G[G.length-1])[j.length-1]),Y=function(t){return function(e){if(P=R(e),I=B(e),q?L?(q+="L"+P.substr(1),H=I+"L"+H.substr(1)):(q+="Z"+P,H=I+"Z"+H):(q=P,H=I),c.hasLines(_)&&e.length>1){var r=n.select(this);if(r.datum(h),t)y(r.style("opacity",0).attr("d",P).call(l.lineGroupStyle)).style("opacity",1);else{var i=y(r);i.attr("d",P),l.singleLineStyle(h,i)}}}}}var W=M.selectAll(".js-line").data(G);y(W.exit()).style("opacity",0).remove(),W.each(Y(!1)),W.enter().append("path").classed("js-line",!0).style("vector-effect","non-scaling-stroke").call(l.lineGroupStyle).each(Y(!0)),l.setClipUrl(W,r.layerClipId,t),G.length?(E?(E.datum(h),N&&U&&(L?("y"===L?N[1]=U[1]=b.c2p(0,!0):"x"===L&&(N[0]=U[0]=x.c2p(0,!0)),y(E).attr("d","M"+U+"L"+N+"L"+q.substr(1)).call(l.singleFillStyle)):y(E).attr("d",q+"Z").call(l.singleFillStyle))):C&&("tonext"===_.fill.substr(0,6)&&q&&z?("tonext"===_.fill?y(C).attr("d",q+"Z"+z+"Z").call(l.singleFillStyle):y(C).attr("d",q+"L"+z.substr(1)+"Z").call(l.singleFillStyle),_._polygons=_._polygons.concat(O)):(X(C),_._polygons=null)),_._prevRevpath=H,_._prevPolygons=V):(E?X(E):C&&X(C),_._polygons=_._prevRevpath=_._prevPolygons=null),A.datum(h),S.datum(h),function(e,i,a){var o,u=a[0].trace,h=c.hasMarkers(u),f=c.hasText(u),p=tt(u),d=et,g=et;if(h||f){var m=s,_=u.stackgroup,w=_&&"infer zero"===t._fullLayout._scatterStackOpts[x._id+b._id][_].stackgaps;u.marker.maxdisplayed||u._needsCull?m=w?K:J:_&&!w&&(m=Q),h&&(d=m),f&&(g=m)}var T,k=(o=e.selectAll("path.point").data(d,p)).enter().append("path").classed("point",!0);v&&k.call(l.pointStyle,u,t).call(l.translatePoints,x,b).style("opacity",0).transition().style("opacity",1),o.order(),h&&(T=l.makePointStyleFns(u)),o.each((function(e){var i=n.select(this),a=y(i);l.translatePoint(e,a,x,b)?(l.singlePointStyle(e,a,u,T,t),r.layerClipId&&l.hideOutsideRangePoint(e,a,x,b,u.xcalendar,u.ycalendar),u.customdata&&i.classed("plotly-customdata",null!==e.data&&void 0!==e.data)):a.remove()})),v?o.exit().transition().style("opacity",0).remove():o.exit().remove(),(o=i.selectAll("g").data(g,p)).enter().append("g").classed("textpoint",!0).append("text"),o.order(),o.each((function(t){var e=n.select(this),i=y(e.select("text"));l.translatePoint(t,i,x,b)?r.layerClipId&&l.hideOutsideRangePoint(t,e,x,b,u.xcalendar,u.ycalendar):e.remove()})),o.selectAll("text").call(l.textPointStyle,u,t).each((function(t){var e=x.c2p(t.x),r=b.c2p(t.y);n.select(this).selectAll("tspan.line").each((function(){y(n.select(this)).attr({x:e,y:r})}))})),o.exit().remove()}(A,S,h);var Z=!1===_.cliponaxis?null:r.layerClipId;l.setClipUrl(A,Z,t),l.setClipUrl(S,Z,t)}function X(t){y(t).attr("d","M0,0Z")}function J(t){return t.filter((function(t){return!t.gap&&t.vis}))}function K(t){return t.filter((function(t){return t.vis}))}function Q(t){return t.filter((function(t){return!t.gap}))}function $(t){return t.id}function tt(t){if(t.ids)return $}function et(){return!1}}e.exports=function(t,e,r,i,a,c){var u,f,d=!a,g=!!a&&a.duration>0,m=h(t,e,r);((u=i.selectAll("g.trace").data(m,(function(t){return t[0].trace.uid}))).enter().append("g").attr("class",(function(t){return"trace scatter trace"+t[0].trace.uid})).style("stroke-miterlimit",2),u.order(),function(t,e,r){e.each((function(e){var i=o(n.select(this),"g","fills");l.setClipUrl(i,r.layerClipId,t);var a=e[0].trace,c=[];a._ownfill&&c.push("_ownFill"),a._nexttrace&&c.push("_nextFill");var u=i.selectAll("g").data(c,s);u.enter().append("g"),u.exit().each((function(t){a[t]=null})).remove(),u.order().each((function(t){a[t]=o(n.select(this),"path","js-fill")}))}))}(t,u,e),g)?(c&&(f=c()),n.transition().duration(a.duration).ease(a.easing).each("end",(function(){f&&f()})).each("interrupt",(function(){f&&f()})).each((function(){i.selectAll("g.trace").each((function(r,n){p(t,n,e,r,m,this,a)}))}))):u.each((function(r,n){p(t,n,e,r,m,this,a)}));d&&u.exit().remove(),i.selectAll("path:not([d])").remove()}},{"../../components/drawing":637,"../../lib":750,"../../lib/polygon":762,"../../registry":882,"./line_points":1172,"./link_traces":1174,"./subtypes":1183,d3:169}],1180:[function(t,e,r){"use strict";var n=t("./subtypes");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[],h=s[0].trace;if(!n.hasMarkers(h)&&!n.hasText(h))return[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)i=s[r],a=l.c2p(i.x),o=c.c2p(i.y),null!==i.i&&e.contains([a,o],!1,r,t)?(u.push({pointNumber:i.i,x:l.c2d(i.x),y:c.c2d(i.y)}),i.selected=1):i.selected=0;return u}},{"./subtypes":1183}],1181:[function(t,e,r){"use strict";var n=["orientation","groupnorm","stackgaps"];e.exports=function(t,e,r,i){var a=r._scatterStackOpts,o=i("stackgroup");if(o){var s=e.xaxis+e.yaxis,l=a[s];l||(l=a[s]={});var c=l[o],u=!1;c?c.traces.push(e):(c=l[o]={traceIndices:[],traces:[e]},u=!0);for(var h={orientation:e.x&&!e.y?"h":"v"},f=0;f<n.length;f++){var p=n[f],d=p+"Found";if(!c[d]){var g=void 0!==t[p],m="orientation"===p;if((g||u)&&(c[p]=i(p,h[p]),m&&(c.fillDflt="h"===c[p]?"tonextx":"tonexty"),g&&(c[d]=!0,!u&&(delete c.traces[0][p],m))))for(var v=0;v<c.traces.length-1;v++){var y=c.traces[v];y._input.fill!==y.fill&&(y.fill=c.fillDflt)}}}return c}}},{}],1182:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../registry");function o(t,e,r){i.pointStyle(t.selectAll("path.point"),e,r)}function s(t,e,r){i.textPointStyle(t.selectAll("text"),e,r)}e.exports={style:function(t){var e=n.select(t).selectAll("g.trace.scatter");e.style("opacity",(function(t){return t[0].trace.opacity})),e.selectAll("g.points").each((function(e){o(n.select(this),e.trace||e[0].trace,t)})),e.selectAll("g.text").each((function(e){s(n.select(this),e.trace||e[0].trace,t)})),e.selectAll("g.trace path.js-line").call(i.lineGroupStyle),e.selectAll("g.trace path.js-fill").call(i.fillGroupStyle),a.getComponentMethod("errorbars","style")(e)},stylePoints:o,styleText:s,styleOnSelect:function(t,e,r){var n=e[0].trace;n.selectedpoints?(i.selectedPointStyle(r.selectAll("path.point"),n),i.selectedTextStyle(r.selectAll("text"),n)):(o(r,n,t),s(r,n,t))}}},{"../../components/drawing":637,"../../registry":882,d3:169}],1183:[function(t,e,r){"use strict";var n=t("../../lib");e.exports={hasLines:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("lines")},hasMarkers:function(t){return t.visible&&(t.mode&&-1!==t.mode.indexOf("markers")||"splom"===t.type)},hasText:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("text")},isBubble:function(t){return n.isPlainObject(t.marker)&&n.isArrayOrTypedArray(t.marker.size)}}},{"../../lib":750}],1184:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r,i,a){a=a||{},i("textposition"),n.coerceFont(i,"textfont",r.font),a.noSelect||(i("selected.textfont.color"),i("unselected.textfont.color"))}},{"../../lib":750}],1185:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry");e.exports=function(t,e,r,a){var o,s=a("x"),l=a("y");if(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,a("y0"),a("dy"))}else{if(!l)return 0;o=n.minRowLength(l),a("x0"),a("dx")}return e._length=o,o}},{"../../lib":750,"../../registry":882}],1186:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../plots/attributes"),l=t("../../constants/gl3d_dashes"),c=t("../../constants/gl3d_markers"),u=t("../../lib/extend").extendFlat,h=t("../../plot_api/edit_types").overrideAll,f=n.line,p=n.marker,d=p.line,g=u({width:f.width,dash:{valType:"enumerated",values:Object.keys(l),dflt:"solid"}},i("line"));var m=e.exports=h({x:n.x,y:n.y,z:{valType:"data_array"},text:u({},n.text,{}),texttemplate:o({},{}),hovertext:u({},n.hovertext,{}),hovertemplate:a(),mode:u({},n.mode,{dflt:"lines+markers"}),surfaceaxis:{valType:"enumerated",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:"color"},projection:{x:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},y:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},z:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:g,marker:u({symbol:{valType:"enumerated",values:Object.keys(c),dflt:"circle",arrayOk:!0},size:u({},p.size,{dflt:8}),sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode,opacity:u({},p.opacity,{arrayOk:!1}),colorbar:p.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},i("marker.line"))},i("marker")),textposition:u({},n.textposition,{dflt:"top center"}),textfont:{color:n.textfont.color,size:n.textfont.size,family:u({},n.textfont.family,{arrayOk:!1})},hoverinfo:u({},s.hoverinfo)},"calc","nested");m.x.editType=m.y.editType=m.z.editType="calc+clearAxisTypes"},{"../../components/colorscale/attributes":622,"../../constants/gl3d_dashes":722,"../../constants/gl3d_markers":723,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scatter/attributes":1158}],1187:[function(t,e,r){"use strict";var n=t("../scatter/arrays_to_calcdata"),i=t("../scatter/colorscale_calc");e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(r,e),i(t,e),r}},{"../scatter/arrays_to_calcdata":1157,"../scatter/colorscale_calc":1161}],1188:[function(t,e,r){"use strict";var n=t("../../registry");function i(t,e,r,i){if(!e||!e.visible)return null;for(var a=n.getComponentMethod("errorbars","makeComputeError")(e),o=new Array(t.length),s=0;s<t.length;s++){var l=a(+t[s],s);if("log"===i.type){var c=i.c2l(t[s]),u=t[s]-l[0],h=t[s]+l[1];if(o[s]=[(i.c2l(u,!0)-c)*r,(i.c2l(h,!0)-c)*r],u>0){var f=i.c2l(u);i._lowerLogErrorBound||(i._lowerLogErrorBound=f),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,f)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s<a;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l}return o}},{"../../registry":882}],1189:[function(t,e,r){"use strict";var n=t("gl-line3d"),i=t("gl-scatter3d"),a=t("gl-error3d"),o=t("gl-mesh3d"),s=t("delaunay-triangulate"),l=t("../../lib"),c=t("../../lib/str2rgbarray"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/make_bubble_size_func"),f=t("../../constants/gl3d_dashes"),p=t("../../constants/gl3d_markers"),d=t("../../plots/cartesian/axes"),g=t("../../components/fx/helpers").appendArrayPointValue,m=t("./calc_errors");function v(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode="",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var y=v.prototype;function x(t){return null==t?0:t.indexOf("left")>-1?-1:t.indexOf("right")>-1?1:0}function b(t){return null==t?0:t.indexOf("top")>-1?-1:t.indexOf("bottom")>-1?1:0}function _(t,e){return e(4*t)}function w(t){return p[t]}function T(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o<e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return a}function k(t,e){var r,n,i,a,o,s,f=[],p=t.fullSceneLayout,v=t.dataScale,y=p.xaxis,k=p.yaxis,M=p.zaxis,A=e.marker,S=e.line,E=e.x||[],C=e.y||[],L=e.z||[],P=E.length,I=e.xcalendar,z=e.ycalendar,O=e.zcalendar;for(o=0;o<P;o++)r=y.d2l(E[o],0,I)*v[0],n=k.d2l(C[o],0,z)*v[1],i=M.d2l(L[o],0,O)*v[2],f[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(P),o=0;o<P;o++)s[o]=e.text;function D(t,e){var r=p[t];return d.tickText(r,r.d2l(e),!0).text}var R=e.texttemplate;if(R){var F=t.fullLayout._d3locale,B=Array.isArray(R),N=B?Math.min(R.length,P):P,j=B?function(t){return R[t]}:function(){return R};for(s=new Array(N),o=0;o<N;o++){var U={x:E[o],y:C[o],z:L[o]},V={xLabel:D("xaxis",E[o]),yLabel:D("yaxis",C[o]),zLabel:D("zaxis",L[o])},q={};g(q,e,o);var H=e._meta||{};s[o]=l.texttemplateString(j(o),V,F,q,U,H)}}if(a={position:f,mode:e.mode,text:s},"line"in e&&(a.lineColor=u(S,1,P),a.lineWidth=S.width,a.lineDashes=S.dash),"marker"in e){var G=h(e);a.scatterColor=u(A,1,P),a.scatterSize=T(A.size,P,_,20,G),a.scatterMarker=T(A.symbol,P,w,"\u25cf"),a.scatterLineWidth=A.line.width,a.scatterLineColor=u(A.line,1,P),a.scatterAngle=0}"textposition"in e&&(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r<t.length;r++)e[r]=[0,0],t[r]&&(e[r][0]=x(t[r]),e[r][1]=b(t[r]));else e[0]=x(t),e[1]=b(t);return e}(e.textposition),a.textColor=u(e.textfont,1,P),a.textSize=T(e.textfont.size,P,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var Y=["x","y","z"];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o<3;++o){var W=e.projection[Y[o]];(a.project[o]=W.show)&&(a.projectOpacity[o]=W.opacity,a.projectScale[o]=W.scale)}a.errorBounds=m(e,v,p);var Z=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&!1!==a.copy_zstyle&&!1!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=Z.color,a.errorLineWidth=Z.lineWidth,a.errorCapSize=Z.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}function M(t){if(l.isArrayOrTypedArray(t)){var e=t[0];return l.isArrayOrTypedArray(e)&&(t=e),"rgb("+t.slice(0,3).map((function(t){return Math.round(255*t)}))+")"}return null}function A(t){return l.isArrayOrTypedArray(t)?4===t.length&&"number"==typeof t[0]?M(t):t.map(M):null}y.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel="",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},y.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,h=f.solid;this.data=t;var p=k(this.scene,t);"mode"in p&&(this.mode=p.mode),"lineDashes"in p&&p.lineDashes in f&&(h=f[p.lineDashes]),this.color=A(p.scatterColor)||A(p.lineColor),this.dataPoints=p.position,e={gl:this.scene.glplot.gl,position:p.position,color:p.lineColor,lineWidth:p.lineWidth||1,dashes:h[0],dashScale:h[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new v(t,e.uid);return r.update(e),r}},{"../../components/fx/helpers":651,"../../constants/gl3d_dashes":722,"../../constants/gl3d_markers":723,"../../lib":750,"../../lib/gl_format_color":746,"../../lib/str2rgbarray":773,"../../plots/cartesian/axes":799,"../scatter/make_bubble_size_func":1175,"./calc_errors":1188,"delaunay-triangulate":171,"gl-error3d":264,"gl-line3d":271,"gl-mesh3d":292,"gl-scatter3d":308}],1190:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,h,u)){h("text"),h("hovertext"),h("hovertemplate"),h("mode"),a.hasLines(e)&&(h("connectgaps"),s(t,e,r,u,h)),a.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),a.hasText(e)&&(h("texttemplate"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h("surfaceaxis")>=0&&h("surfacecolor",f||p);for(var d=["x","y","z"],g=0;g<3;++g){var m="projection."+d[g];h(m+".show")&&(h(m+".opacity"),h(m+".scale"))}var v=n.getComponentMethod("errorbars","supplyDefaults");v(t,e,f||p||r,{axis:"z"}),v(t,e,f||p||r,{axis:"y",inherit:"z"}),v(t,e,f||p||r,{axis:"x",inherit:"z"})}else e.visible=!1}},{"../../lib":750,"../../registry":882,"../scatter/line_defaults":1171,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"./attributes":1186}],1191:[function(t,e,r){"use strict";e.exports={plot:t("./convert"),attributes:t("./attributes"),markerSymbols:t("../../constants/gl3d_markers"),supplyDefaults:t("./defaults"),colorbar:[{container:"marker",min:"cmin",max:"cmax"},{container:"line",min:"cmin",max:"cmax"}],calc:t("./calc"),moduleType:"trace",name:"scatter3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","symbols","showLegend","scatter-like"],meta:{}}},{"../../constants/gl3d_markers":723,"../../plots/gl3d":841,"./attributes":1186,"./calc":1187,"./convert":1189,"./defaults":1190}],1192:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../components/colorscale/attributes"),l=t("../../lib/extend").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:"string",editType:"calc"},a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},mode:l({},n.mode,{dflt:"markers"}),text:l({},n.text,{}),texttemplate:o({editType:"plot"},{keys:["a","b","text"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:["linear","spline"]}),smoothing:u.smoothing,editType:"calc"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:"calc"},s("marker.line")),gradient:c.gradient,editType:"calc"},s("marker")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:["a","b","text","name"]}),hoveron:n.hoveron,hovertemplate:a()}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scatter/attributes":1158}],1193:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../scatter/colorscale_calc"),a=t("../scatter/arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../scatter/calc").calcMarkerSize,l=t("../carpet/lookup_carpetid");e.exports=function(t,e){var r=e._carpetTrace=l(t,e);if(r&&r.visible&&"legendonly"!==r.visible){var c;e.xaxis=r.xaxis,e.yaxis=r.yaxis;var u,h,f=e._length,p=new Array(f),d=!1;for(c=0;c<f;c++)if(u=e.a[c],h=e.b[c],n(u)&&n(h)){var g=r.ab2xy(+u,+h,!0),m=r.isVisible(+u,+h);m||(d=!0),p[c]={x:g[0],y:g[1],a:u,b:h,vis:m}}else p[c]={x:!1,y:!1};return e._needsCull=d,p[0].carpet=r,p[0].trace=e,s(e,f),i(t,e),a(p,e),o(p,e),p}}},{"../carpet/lookup_carpetid":952,"../scatter/arrays_to_calcdata":1157,"../scatter/calc":1159,"../scatter/calc_selection":1160,"../scatter/colorscale_calc":1161,"fast-isnumeric":241}],1194:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),g=p("b"),m=Math.min(d.length,g.length);if(m){e._length=m,p("text"),p("texttemplate"),p("hovertext"),p("mode",m<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),a.hasText(e)&&c(t,e,f,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),v.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||v.push("fills"),"fills"!==p("hoveron",v.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{"../../lib":750,"../scatter/constants":1162,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/line_shape_defaults":1173,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"./attributes":1192}],1195:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1196:[function(t,e,r){"use strict";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1197:[function(t,e,r){"use strict";var n=t("../scatter/hover"),i=t("../../lib").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(f,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(f.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,f.a),-1!==v.indexOf("b")&&y(d.baxis,f.b),m.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(f,p,m),s.extraText=m.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,m.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":750,"../scatter/hover":1169}],1198:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../scatter/select"),eventData:t("./event_data"),moduleType:"trace",name:"scattercarpet",basePlotModule:t("../../plots/cartesian"),categories:["svg","carpet","symbols","showLegend","carpetDependent","zoomScale"],meta:{}}},{"../../plots/cartesian":812,"../scatter/marker_colorbar":1176,"../scatter/select":1180,"../scatter/style":1182,"./attributes":1192,"./calc":1193,"./defaults":1194,"./event_data":1195,"./format_labels":1196,"./hover":1197,"./plot":1199}],1199:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../plots/cartesian/axes"),a=t("../../components/drawing");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{"../../components/drawing":637,"../../plots/cartesian/axes":799,"../scatter/plot":1179}],1200:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,h=a.marker,f=a.line,p=h.line;e.exports=u({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names","geojson-id"],dflt:"ISO-3"},geojson:{valType:"any",editType:"calc"},featureidkey:{valType:"string",editType:"calc",dflt:"id"},mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","location","text"]}),hovertext:c({},a.hovertext,{}),textfont:a.textfont,textposition:a.textposition,line:{color:f.color,width:f.width,dash:l},connectgaps:a.connectgaps,marker:c({symbol:h.symbol,opacity:h.opacity,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,colorbar:h.colorbar,line:c({width:p.width},s("marker.line")),gradient:h.gradient},s("marker")),fill:{valType:"enumerated",values:["none","toself"],dflt:"none"},fillcolor:a.fillcolor,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:["lon","lat","location","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":622,"../../components/drawing/attributes":636,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scatter/attributes":1158}],1201:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../scatter/colorscale_calc"),o=t("../scatter/arrays_to_calcdata"),s=t("../scatter/calc_selection"),l=t("../../lib")._;function c(t){return t&&"string"==typeof t}e.exports=function(t,e){var r,u=Array.isArray(e.locations),h=u?e.locations.length:e._length,f=new Array(h);r=e.geojson?function(t){return c(t)||n(t)}:c;for(var p=0;p<h;p++){var d=f[p]={};if(u){var g=e.locations[p];d.loc=r(g)?g:null}else{var m=e.lon[p],v=e.lat[p];n(m)&&n(v)?d.lonlat=[+m,+v]:d.lonlat=[i,i]}}return o(f,e),a(t,e),s(f,e),h&&(f[0].t={labels:{lat:l(t,"lat:")+" ",lon:l(t,"lon:")+" "}}),f}},{"../../constants/numerical":725,"../../lib":750,"../scatter/arrays_to_calcdata":1157,"../scatter/calc_selection":1160,"../scatter/colorscale_calc":1161,"fast-isnumeric":241}],1202:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,i){return n.coerce(t,e,c,r,i)}var f,p=h("locations");if(p&&p.length){var d,g=h("geojson");("string"==typeof g&&""!==g||n.isPlainObject(g))&&(d="geojson-id"),"geojson-id"===h("locationmode",d)&&h("featureidkey"),f=p.length}else{var m=h("lon")||[],v=h("lat")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h("text"),h("hovertext"),h("hovertemplate"),h("mode"),i.hasLines(e)&&(o(t,e,r,u,h),h("connectgaps")),i.hasMarkers(e)&&a(t,e,r,u,h,{gradient:!0}),i.hasText(e)&&(h("texttemplate"),s(t,e,u,h)),h("fill"),"none"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{"../../lib":750,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"./attributes":1200}],1203:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],1204:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{"../../plots/cartesian/axes":799}],1205:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../constants/numerical").BADNUM,a=t("../scatter/get_trace_color"),o=t("../../lib").fillText,s=t("./attributes");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=f.projection.isLonLatOverEdges,d=f.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),h.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:f};var b=c._module.formatLabels(g,c,x);return t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var i=e.hi||t.hoverinfo,a="all"===i?s.hoverinfo.flags:i.split("+"),l=-1!==a.indexOf("location")&&Array.isArray(t.locations),c=-1!==a.indexOf("lon"),u=-1!==a.indexOf("lat"),h=-1!==a.indexOf("text"),f=[];function p(t){return t+"\xb0"}l?f.push(e.loc):c&&u?f.push("("+p(r.lonLabel)+", "+p(r.latLabel)+")"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join("<br>")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":655,"../../constants/numerical":725,"../../lib":750,"../scatter/get_trace_color":1168,"./attributes":1200}],1206:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),calcGeoJSON:t("./plot").calcGeoJSON,plot:t("./plot").plot,style:t("./style"),styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),moduleType:"trace",name:"scattergeo",basePlotModule:t("../../plots/geo"),categories:["geo","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/geo":831,"../scatter/marker_colorbar":1176,"../scatter/style":1182,"./attributes":1200,"./calc":1201,"./defaults":1202,"./event_data":1203,"./format_labels":1204,"./hover":1205,"./plot":1207,"./select":1208,"./style":1209}],1207:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../lib/topojson_utils").getTopojsonFeatures,o=t("../../lib/geojson_utils"),s=t("../../lib/geo_location_utils"),l=t("../../plots/cartesian/autorange").findExtremes,c=t("../../constants/numerical").BADNUM,u=t("../scatter/calc").calcMarkerSize,h=t("../scatter/subtypes"),f=t("./style");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],h=o._subplot,f=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d="geojson-id"===p?s.extractTraceFeature(t):a(i,h.topojson);for(r=0;r<f;r++){n=t[r];var g="geojson-id"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var m,v,y={padded:!0};if("geojson"===o.fitbounds&&"geojson-id"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));m=[x[0],x[2]],v=[x[1],x[3]]}else{for(m=new Array(f),v=new Array(f),r=0;r<f;r++)n=t[r],m[r]=n.lonlat[0],v[r]=n.lonlat[1];y.ppad=u(i,f)}i._extremes.lon=l(o.lonaxis._ax,m,y),i._extremes.lat=l(o.lataxis._ax,v,y)},plot:function(t,e,r){var a=e.layers.frontplot.select(".scatterlayer"),s=i.makeTraceGroups(a,r,"trace scattergeo");function l(t,e){t.lonlat[0]===c&&n.select(e).remove()}s.selectAll("*").remove(),s.each((function(e){var r=n.select(this),a=e[0].trace;if(h.hasLines(a)||"none"!==a.fill){var s=o.calcTraceToLineCoords(e),c="none"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll("path.js-line").data([{geojson:c,trace:a}]).enter().append("path").classed("js-line",!0).style("stroke-miterlimit",2)}h.hasMarkers(a)&&r.selectAll("path.point").data(i.identity).enter().append("path").classed("point",!0).each((function(t){l(t,this)})),h.hasText(a)&&r.selectAll("g").data(i.identity).enter().append("g").append("text").each((function(t){l(t,this)})),f(t,e)}))}}},{"../../constants/numerical":725,"../../lib":750,"../../lib/geo_location_utils":743,"../../lib/geojson_utils":744,"../../lib/topojson_utils":777,"../../plots/cartesian/autorange":798,"../scatter/calc":1159,"../scatter/subtypes":1183,"./style":1209,d3:169}],1208:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),i=t("../../constants/numerical").BADNUM;e.exports=function(t,e){var r,a,o,s,l,c=t.cd,u=t.xaxis,h=t.yaxis,f=[],p=c[0].trace;if(!n.hasMarkers(p)&&!n.hasText(p))return[];if(!1===e)for(l=0;l<c.length;l++)c[l].selected=0;else for(l=0;l<c.length;l++)(a=(r=c[l]).lonlat)[0]!==i&&(o=u.c2p(a),s=h.c2p(a),e.contains([o,s],null,l,t)?(f.push({pointNumber:l,lon:a[0],lat:a[1]}),r.selected=1):r.selected=0);return f}},{"../../constants/numerical":725,"../scatter/subtypes":1183}],1209:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../components/color"),o=t("../scatter/style"),s=o.stylePoints,l=o.styleText;e.exports=function(t,e){e&&function(t,e){var r=e[0].trace,o=e[0].node3;o.style("opacity",e[0].trace.opacity),s(o,r,t),l(o,r,t),o.selectAll("path.js-line").style("fill","none").each((function(t){var e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||"",o.width||0),"none"!==r.fill&&e.call(a.fill,r.fillcolor)}))}(t,e)}},{"../../components/color":615,"../../components/drawing":637,"../scatter/style":1182,d3:169}],1210:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../scatter/attributes"),a=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat,s=t("../../plot_api/edit_types").overrideAll,l=t("./constants").DASHES,c=i.line,u=i.marker,h=u.line,f=e.exports=s({x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,text:i.text,hovertext:i.hovertext,textposition:i.textposition,textfont:i.textfont,mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"]},line:{color:c.color,width:c.width,shape:{valType:"enumerated",values:["linear","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot"},dash:{valType:"enumerated",values:Object.keys(l),dflt:"solid"}},marker:o({},a("marker"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},a("marker.line"),{width:h.width})}),connectgaps:i.connectgaps,fill:o({},i.fill,{dflt:"none"}),fillcolor:i.fillcolor,selected:{marker:i.selected.marker,textfont:i.selected.textfont},unselected:{marker:i.unselected.marker,textfont:i.unselected.textfont},opacity:n.opacity},"calc","nested");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType="calc+clearAxisTypes",f.hovertemplate=i.hovertemplate,f.texttemplate=i.texttemplate},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../scatter/attributes":1158,"./constants":1212}],1211:[function(t,e,r){"use strict";var n=t("@plotly/point-cluster"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids"),o=t("../../plots/cartesian/autorange").findExtremes,s=t("../../plots/cartesian/align_period"),l=t("../scatter/calc"),c=l.calcMarkerSize,u=l.calcAxisExpansion,h=l.setFirstScatter,f=t("../scatter/colorscale_calc"),p=t("./convert"),d=t("./scene_update"),g=t("../../constants/numerical").BADNUM,m=t("./constants").TOO_MANY_POINTS;function v(t,e,r){var n=t._extremes[e._id],i=o(e,r._bnds,{padded:!0});n.min=n.min.concat(i.min),n.max=n.max.concat(i.max)}e.exports=function(t,e){var r,o,l,y=t._fullLayout,x=a.getFromId(t,e.xaxis),b=a.getFromId(t,e.yaxis),_=y._plots[e.xaxis+e.yaxis],w=e._length,T=w>=m,k=2*w,M={},A=x.makeCalcdata(e,"x"),S=b.makeCalcdata(e,"y"),E=s(e,x,"x",A),C=s(e,b,"y",S);e._x=E,e._y=C,e.xperiodalignment&&(e._origX=A),e.yperiodalignment&&(e._origY=S);var L=new Array(k);for(r=0;r<w;r++)o=E[r],l=C[r],L[2*r]=o===g?NaN:o,L[2*r+1]=l===g?NaN:l;if("log"===x.type)for(r=0;r<k;r+=2)L[r]=x.c2l(L[r]);if("log"===b.type)for(r=1;r<k;r+=2)L[r]=b.c2l(L[r]);if(T&&"log"!==x.type&&"log"!==b.type)M.tree=n(L);else{var P=M.ids=new Array(w);for(r=0;r<w;r++)P[r]=r}f(t,e);var I,z=function(t,e,r,n,a,o){var s=p.style(t,r);s.marker&&(s.marker.positions=n);s.line&&n.length>1&&i.extendFlat(s.line,p.linePositions(t,r,n));if(s.errorX||s.errorY){var l=p.errorBarPositions(t,r,n,a,o);s.errorX&&i.extendFlat(s.errorX,l.x),s.errorY&&i.extendFlat(s.errorY,l.y)}s.text&&(i.extendFlat(s.text,{positions:n},p.textPosition(t,r,s.text,s.marker)),i.extendFlat(s.textSel,{positions:n},p.textPosition(t,r,s.text,s.markerSel)),i.extendFlat(s.textUnsel,{positions:n},p.textPosition(t,r,s.text,s.markerUnsel)));return s}(t,0,e,L,E,C),O=d(t,_);return h(y,e),T?z.marker&&(I=2*(z.marker.sizeAvg||Math.max(z.marker.size,3))):I=c(e,w),u(t,e,x,b,E,C,I),z.errorX&&v(e,x,z.errorX),z.errorY&&v(e,b,z.errorY),z.fill&&!O.fill2d&&(O.fill2d=!0),z.marker&&!O.scatter2d&&(O.scatter2d=!0),z.line&&!O.line2d&&(O.line2d=!0),!z.errorX&&!z.errorY||O.error2d||(O.error2d=!0),z.text&&!O.glText&&(O.glText=!0),z.marker&&(z.marker.snap=w),O.lineOptions.push(z.line),O.errorXOptions.push(z.errorX),O.errorYOptions.push(z.errorY),O.fillOptions.push(z.fill),O.markerOptions.push(z.marker),O.markerSelectedOptions.push(z.markerSel),O.markerUnselectedOptions.push(z.markerUnsel),O.textOptions.push(z.text),O.textSelectedOptions.push(z.textSel),O.textUnselectedOptions.push(z.textUnsel),O.selectBatch.push([]),O.unselectBatch.push([]),M._scene=O,M.index=O.count,M.x=E,M.y=C,M.positions=L,O.count++,[{x:!1,y:!1,t:M,trace:e}]}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/autorange":798,"../../plots/cartesian/axis_ids":802,"../scatter/calc":1159,"../scatter/colorscale_calc":1161,"./constants":1212,"./convert":1213,"./scene_update":1221,"@plotly/point-cluster":57}],1212:[function(t,e,r){"use strict";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],1213:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("svg-path-sdf"),a=t("color-normalize"),o=t("../../registry"),s=t("../../lib"),l=t("../../components/drawing"),c=t("../../plots/cartesian/axis_ids"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/subtypes"),f=t("../scatter/make_bubble_size_func"),p=t("./helpers"),d=t("./constants"),g=t("../../constants/interactions").DESELECTDIM,m={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1},v=t("../../components/fx/helpers").appendArrayPointValue;function y(t,e){var r,i=t._fullLayout,a=e._length,o=e.textfont,l=e.textposition,c=Array.isArray(l)?l:[l],u=o.color,h=o.size,f=o.family,p={},d=e.texttemplate;if(d){p.text=[];var g=i._d3locale,m=Array.isArray(d),y=m?Math.min(d.length,a):a,x=m?function(t){return d[t]}:function(){return d};for(r=0;r<y;r++){var b={i:r},_=e._module.formatLabels(b,e,i),w={};v(w,e,r);var T=e._meta||{};p.text.push(s.texttemplateString(x(r),_,g,w,b,T))}}else Array.isArray(e.text)&&e.text.length<a?p.text=e.text.slice():p.text=e.text;if(Array.isArray(p.text))for(r=p.text.length;r<a;r++)p.text[r]="";for(p.opacity=e.opacity,p.font={},p.align=[],p.baseline=[],r=0;r<c.length;r++){var k=c[r].split(/\s+/);switch(k[1]){case"left":p.align.push("right");break;case"right":p.align.push("left");break;default:p.align.push(k[1])}switch(k[0]){case"top":p.baseline.push("bottom");break;case"bottom":p.baseline.push("top");break;default:p.baseline.push(k[0])}}if(Array.isArray(u))for(p.color=new Array(a),r=0;r<a;r++)p.color[r]=u[r];else p.color=u;if(s.isArrayOrTypedArray(h)||Array.isArray(f))for(p.font=new Array(a),r=0;r<a;r++){var M=p.font[r]={};M.size=s.isTypedArray(h)?h[r]:Array.isArray(h)?n(h[r])?h[r]:0:h,M.family=Array.isArray(f)?f[r]:f}else p.font={size:h,family:f};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),h=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),g=s.isArrayOrTypedArray(i.size),m=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||h||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else r?(o.color=a(i.color,"uint8"),o.color[3]=0,o.borderColor=a(i.color,"uint8")):(o.color=a(i.color,"uint8"),o.borderColor=a(i.line.color,"uint8")),o.opacity=t.opacity*i.opacity;if(l)for(o.markers=new Array(n),e=0;e<n;e++)o.markers[e]=E(i.symbol[e]);else o.marker=E(i.symbol);var w,T=f(t);if(g||m){var k,M=o.sizes=new Array(n),A=o.borderSizes=new Array(n),S=0;if(g){for(e=0;e<n;e++)M[e]=T(i.size[e]),S+=M[e];k=S/n}else for(w=T(i.size),e=0;e<n;e++)M[e]=w;if(m)for(e=0;e<n;e++)A[e]=i.line.width[e]/2;else for(w=i.line.width/2,e=0;e<n;e++)A[e]=w;o.sizeAvg=k}else o.size=T(i&&i.size||10),o.borderSizes=T(i.line.width);return o}function b(t,e){var r=t.marker,n={};return e?(e.marker&&e.marker.symbol?n=x(s.extendFlat({},r,e.marker)):e.marker&&(e.marker.size&&(n.size=e.marker.size/2),e.marker.color&&(n.colors=e.marker.color),void 0!==e.marker.opacity&&(n.opacity=e.marker.opacity)),n):n}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*k);function E(t){if("circle"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var i=e.marker.opacity;for(n.markerUnsel.opacity=new Array(i.length),r=0;r<i.length;r++)n.markerUnsel.opacity[r]=g*i[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<a.length;++r)a[r]*=e.line.width;n.line.dashes=a}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,f=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/f,x/f]}}return o}}},{"../../components/drawing":637,"../../components/fx/helpers":651,"../../constants/interactions":724,"../../lib":750,"../../lib/gl_format_color":746,"../../plots/cartesian/axis_ids":802,"../../registry":882,"../scatter/make_bubble_size_func":1175,"../scatter/subtypes":1183,"./constants":1212,"./helpers":1217,"color-normalize":125,"fast-isnumeric":241,"svg-path-sdf":546}],1214:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/period_defaults"),h=t("../scatter/marker_defaults"),f=t("../scatter/line_defaults"),p=t("../scatter/fillcolor_defaults"),d=t("../scatter/text_defaults");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m);var b=x<s.PTS_LINESONLY?"lines+markers":"lines";m("text"),m("hovertext"),m("hovertemplate"),m("mode",b),l.hasLines(e)&&(m("connectgaps"),f(t,e,r,g,m),m("line.shape")),l.hasMarkers(e)&&(h(t,e,r,g,m),m("marker.line.width",v||y?1:0)),l.hasText(e)&&(m("texttemplate"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m("fill"),"none"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod("errorbars","supplyDefaults");T(t,e,_||w||r,{axis:"y"}),T(t,e,_||w||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{"../../lib":750,"../../registry":882,"../scatter/constants":1162,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/marker_defaults":1177,"../scatter/period_defaults":1178,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"../scatter/xy_defaults":1185,"./attributes":1210,"./helpers":1217}],1215:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{"../../components/color":615,"../../constants/interactions":724,"../../lib":750}],1216:[function(t,e,r){"use strict";var n=t("../scatter/format_labels");e.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},{"../scatter/format_labels":1167}],1217:[function(t,e,r){"use strict";var n=t("./constants");r.isOpenSymbol=function(t){return"string"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return"string"==typeof t?n.DOT_RE.test(t):t>200}},{"./constants":1212}],1218:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=i.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&"none"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,M=o._origY,A=i.extendFlat({},t,{color:a(o,f),x0:v-x,x1:v+x,xLabelVal:k?k[h]:f.x,y0:y-x,y1:y+x,yLabelVal:M?M[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?A.text=f.htx:f.tx?A.text=f.tx:o.text&&(A.text=o.text),i.fillText(f,o,A),n.getComponentMethod("errorbars","hoverInfo")(f,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i="x"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=g.ids;var E=T;if("x"===n)for(c=0;c<i.length;c++)s=x[i[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[i[c]])-w,p=Math.sqrt(u*u+h*h),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,m)]},calcHover:o}},{"../../lib":750,"../../registry":882,"../scatter/get_trace_color":1168}],1219:[function(t,e,r){"use strict";var n=t("./hover");e.exports={moduleType:"trace",name:"scattergl",basePlotModule:t("../../plots/cartesian"),categories:["gl","regl","cartesian","symbols","errorBarsOK","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../scatter/cross_trace_defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),hoverPoints:n.hoverPoints,selectPoints:t("./select"),meta:{}}},{"../../plots/cartesian":812,"../scatter/cross_trace_defaults":1164,"../scatter/marker_colorbar":1176,"./attributes":1210,"./calc":1211,"./defaults":1214,"./format_labels":1216,"./hover":1218,"./plot":1220,"./select":1222}],1220:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../components/dragelement/helpers").selectMode,c=t("../../lib/prepare_regl"),u=t("../scatter/subtypes"),h=t("../scatter/link_traces"),f=t("./edit_style").styleTextSelection;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,["ANGLE_instanced_arrays","OES_element_index_uint"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if("tozerox"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if("toself"===s.fill||"tonext"===s.fill){for(p=[],i=0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if("tonexty"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&"tonext"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf("select")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{"../../components/dragelement/helpers":633,"../../lib":750,"../../lib/prepare_regl":763,"../scatter/link_traces":1174,"../scatter/subtypes":1183,"./edit_style":1215,"gl-text":326,"regl-error2d":508,"regl-line2d":509,"regl-scatter2d":510}],1221:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else c[h].length||o.draw(h);s[h]&&r.textOptions[h]&&s[h].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{"../../lib":750}],1222:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),i=t("./edit_style").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=[],o=r[0].trace,s=r[0].t,l=o._length,c=s.x,u=s.y,h=s._scene,f=s.index;if(!h)return a;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return a;var m=[],v=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(m.push(y),a.push({pointNumber:y,x:c[y],y:u[y]})):v.push(y);if(d){var x=h.scatter2d;if(m.length||v.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=m,h.unselectBatch[f]=v,p&&i(r),a}},{"../scatter/subtypes":1183,"./edit_style":1215}],1223:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scattergeo/attributes"),o=t("../scatter/attributes"),s=t("../../plots/mapbox/layout_attributes"),l=t("../../plots/attributes"),c=t("../../components/colorscale/attributes"),u=t("../../lib/extend").extendFlat,h=t("../../plot_api/edit_types").overrideAll,f=a.line,p=a.marker;e.exports=h({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:"markers"}),text:u({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../../plots/mapbox/layout_attributes":858,"../../plots/template_attributes":877,"../scatter/attributes":1158,"../scattergeo/attributes":1200}],1224:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("../../constants/numerical").BADNUM,o=t("../../lib/geojson_utils"),s=t("../../components/colorscale"),l=t("../../components/drawing"),c=t("../scatter/make_bubble_size_func"),u=t("../scatter/subtypes"),h=t("../../plots/mapbox/convert_text_opts"),f=t("../../components/fx/helpers").appendArrayPointValue,p=t("../../lib/svg_text_utils").NEWLINES,d=t("../../lib/svg_text_utils").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:"none"},paint:{}}}function m(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return""}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b="none"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&"circle"===a.marker.symbol,M=w&&"circle"!==a.marker.symbol,A=g(),S=g(),E=g(),C=g(),L={fill:A,line:S,circle:E,symbol:C};if(!x)return L;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility="visible",i.extendFlat(A.paint,{"fill-color":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility="visible",i.extendFlat(S.paint,{"line-width":a.line.width,"line-color":a.line.color,"line-opacity":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),g=i.isArrayOrTypedArray(h.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,"marker")?s.makeColorScaleFuncFromTrace(h):i.identity);d&&(a=c(u));g&&(o=function(t){return m(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:"Feature",geometry:{type:"Point",coordinates:_},properties:w})}}if(f)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=m(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:"FeatureCollection",features:x},mcc:p||v&&v.selectedColorFn?{type:"identity",property:"mcc"}:h.color,mrc:d||v&&v.selectedSizeFn?{type:"identity",property:"mrc"}:(k=h.size,k/2),mo:g||v&&v.selectedOpacityFn?{type:"identity",property:"mo"}:m(h.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility="visible",i.extendFlat(E.paint,{"circle-color":P.mcc,"circle-radius":P.mrc,"circle-opacity":P.mo})}if((M||T)&&(C.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l="circle"!==o?m(o):v,c="auto"!==s?m(s,!0):v,h=u.hasText(n)?m(n.text):v,g=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||"":w,k=n._module.formatLabels(b,n,r),M={};f(M,n,b.i);var A=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,M,b,A)}else _=h(x);_&&(_=_.replace(p,"").replace(d,"\n")),g.push({type:"Feature",geometry:{type:"Point",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:"FeatureCollection",features:g}}(e,t),i.extendFlat(C.layout,{visibility:"visible","icon-image":"{symbol}-15","text-field":"{text}"}),M&&(i.extendFlat(C.layout,{"icon-size":a.marker.size/10}),"angle"in a.marker&&"auto"!==a.marker.angle&&i.extendFlat(C.layout,{"icon-rotate":{type:"identity",property:"angle"},"icon-rotation-alignment":"map"}),C.layout["icon-allow-overlap"]=a.marker.allowoverlap,i.extendFlat(C.paint,{"icon-opacity":a.opacity*a.marker.opacity,"icon-color":a.marker.color})),T)){var I=(a.marker||{}).size,z=h(a.textposition,I);i.extendFlat(C.layout,{"text-size":a.textfont.size,"text-anchor":z.anchor,"text-offset":z.offset}),i.extendFlat(C.paint,{"text-color":a.textfont.color,"text-opacity":a.opacity})}return L}},{"../../components/colorscale":627,"../../components/drawing":637,"../../components/fx/helpers":651,"../../constants/numerical":725,"../../lib":750,"../../lib/geojson_utils":744,"../../lib/svg_text_utils":774,"../../plots/mapbox/convert_text_opts":855,"../scatter/make_bubble_size_func":1175,"../scatter/subtypes":1183,"fast-isnumeric":241}],1225:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,i){return n.coerce(t,e,c,r,i)}if(function(t,e,r){var n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,h)){if(h("text"),h("texttemplate"),h("hovertext"),h("hovertemplate"),h("mode"),h("below"),i.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h("connectgaps")),i.hasMarkers(e)){a(t,e,r,u,h,{noLine:!0}),h("marker.allowoverlap"),h("marker.angle");var f=e.marker;"circle"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}i.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h("fill"),"none"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{"../../lib":750,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"./attributes":1223}],1226:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1227:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{"../../plots/cartesian/axes":799}],1228:[function(t,e,r){"use strict";var n=t("../../components/fx"),i=t("../../lib"),a=t("../scatter/get_trace_color"),o=i.fillText,s=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=f.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-h.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[i.modHalf(m[0],360)+p,m[1]],y=u.c2p(v),x=h.c2p(v),b=g.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:f};var w=c._module.formatLabels(g,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=a(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;var n=(e.hi||t.hoverinfo).split("+"),i=-1!==n.indexOf("all"),a=-1!==n.indexOf("lon"),s=-1!==n.indexOf("lat"),l=e.lonlat,c=[];function u(t){return t+"\xb0"}i||a&&s?c.push("("+u(l[0])+", "+u(l[1])+")"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(i||-1!==n.indexOf("text"))&&o(e,t,c);return c.join("<br>")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":655,"../../constants/numerical":725,"../../lib":750,"../scatter/get_trace_color":1168}],1229:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("../scattergeo/calc"),plot:t("./plot"),hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("./select"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:"trace",name:"scattermapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/mapbox":856,"../scatter/marker_colorbar":1176,"../scattergeo/calc":1201,"./attributes":1223,"./defaults":1225,"./event_data":1226,"./format_labels":1227,"./hover":1228,"./plot":1230,"./select":1231}],1230:[function(t,e,r){"use strict";var n=t("./convert"),i=t("../../plots/mapbox/constants").traceLayerPrefix,a=["fill","line","circle","symbol"];function o(t,e){this.type="scattermapbox",this.subplot=t,this.uid=e,this.sourceIds={fill:"source-"+e+"-fill",line:"source-"+e+"-line",circle:"source-"+e+"-circle",symbol:"source-"+e+"-symbol"},this.layerIds={fill:i+e+"-fill",line:i+e+"-line",circle:i+e+"-circle",symbol:i+e+"-symbol"},this.below=null}var s=o.prototype;s.addSource=function(t,e){this.subplot.map.addSource(this.sourceIds[t],{type:"geojson",data:e.geojson})},s.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},s.addLayer=function(t,e,r){this.subplot.addLayer({type:t,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint},r)},s.update=function(t){var e,r,i,o=this.subplot,s=o.map,l=n(o.gd,t),c=o.belowLookup["trace-"+this.uid];if(c!==this.below){for(e=a.length-1;e>=0;e--)r=a[e],s.removeLayer(this.layerIds[r]);for(e=0;e<a.length;e++)i=l[r=a[e]],this.addLayer(r,i,c);this.below=c}for(e=0;e<a.length;e++)i=l[r=a[e]],o.setOptions(this.layerIds[r],"setLayoutProperty",i.layout),"visible"===i.layout.visibility&&(this.setSourceData(r,i),o.setOptions(this.layerIds[r],"setPaintProperty",i.paint));t[0].trace._glTrace=this},s.dispose=function(){for(var t=this.subplot.map,e=a.length-1;e>=0;e--){var r=a[e];t.removeLayer(this.layerIds[r]),t.removeSource(this.sourceIds[r])}},e.exports=function(t,e){for(var r=e[0].trace,i=new o(t,r.uid),s=n(t.gd,e),l=i.below=t.belowLookup["trace-"+r.uid],c=0;c<a.length;c++){var u=a[c],h=s[u];i.addSource(u,h),i.addLayer(u,h,l)}return e[0].trace._glTrace=i,i}},{"../../plots/mapbox/constants":854,"./convert":1224}],1231:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e){var r,o=t.cd,s=t.xaxis,l=t.yaxis,c=[],u=o[0].trace;if(!i.hasMarkers(u))return[];if(!1===e)for(r=0;r<o.length;r++)o[r].selected=0;else for(r=0;r<o.length;r++){var h=o[r],f=h.lonlat;if(f[0]!==a){var p=[n.modHalf(f[0],360),f[1]],d=[s.c2p(p),l.c2p(p)];e.contains(d,null,r,t)?(c.push({pointNumber:r,lon:f[0],lat:f[1]}),h.selected=1):h.selected=0}}return c}},{"../../constants/numerical":725,"../../lib":750,"../scatter/subtypes":1183}],1232:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../lib/extend").extendFlat,o=t("../scatter/attributes"),s=t("../../plots/attributes"),l=o.line;e.exports={mode:o.mode,r:{valType:"data_array",editType:"calc+clearAxisTypes"},theta:{valType:"data_array",editType:"calc+clearAxisTypes"},r0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dr:{valType:"number",dflt:1,editType:"calc"},theta0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes"},dtheta:{valType:"number",editType:"calc"},thetaunit:{valType:"enumerated",values:["radians","degrees","gradians"],dflt:"degrees",editType:"calc+clearAxisTypes"},text:o.text,texttemplate:i({editType:"plot"},{keys:["r","theta","text"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:["linear","spline"]}),smoothing:l.smoothing,editType:"calc"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:["r","theta","text","name"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scatter/attributes":1158}],1233:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../../plots/cartesian/axes"),o=t("../scatter/colorscale_calc"),s=t("../scatter/arrays_to_calcdata"),l=t("../scatter/calc_selection"),c=t("../scatter/calc").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,u=e.subplot,h=r[u].radialaxis,f=r[u].angularaxis,p=h.makeCalcdata(e,"r"),d=f.makeCalcdata(e,"theta"),g=e._length,m=new Array(g),v=0;v<g;v++){var y=p[v],x=d[v],b=m[v]={};n(y)&&n(x)?(b.r=y,b.theta=x):b.r=i}var _=c(e,g);return e._extremes.x=a.findExtremes(h,p,{ppad:_}),o(t,e),s(m,e),l(m,e),m}},{"../../constants/numerical":725,"../../plots/cartesian/axes":799,"../scatter/arrays_to_calcdata":1157,"../scatter/calc":1159,"../scatter/calc_selection":1160,"../scatter/colorscale_calc":1161,"fast-isnumeric":241}],1234:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/line_shape_defaults"),l=t("../scatter/text_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../scatter/constants").PTS_LINESONLY,h=t("./attributes");function f(t,e,r,n){var i,a=n("r"),o=n("theta");if(a)o?i=Math.min(a.length,o.length):(i=a.length,n("theta0"),n("dtheta"));else{if(!o)return 0;i=e.theta.length,n("r0"),n("dr")}return e._length=i,i}e.exports={handleRThetaDefaults:f,supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,h,r,i)}var g=f(t,e,p,d);if(g){d("thetaunit"),d("mode",g<u?"lines+markers":"lines"),d("text"),d("hovertext"),"fills"!==e.hoveron&&d("hovertemplate"),i.hasLines(e)&&(o(t,e,r,p,d),s(t,e,d),d("connectgaps")),i.hasMarkers(e)&&a(t,e,r,p,d,{gradient:!0}),i.hasText(e)&&(d("texttemplate"),l(t,e,p,d));var m=[];(i.hasMarkers(e)||i.hasText(e))&&(d("cliponaxis"),d("marker.maxdisplayed"),m.push("points")),d("fill"),"none"!==e.fill&&(c(t,e,r,d),i.hasLines(e)||s(t,e,d)),"tonext"!==e.fill&&"toself"!==e.fill||m.push("fills"),d("hoveron",m.join("+")||"points"),n.coerceSelectionMarkerOpacity(e,d)}else e.visible=!1}}},{"../../lib":750,"../scatter/constants":1162,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/line_shape_defaults":1173,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"./attributes":1232}],1235:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var a,o,s={},l=r[e.subplot]._subplot;l?(a=l.radialAxis,o=l.angularAxis):(a=(l=r[e.subplot]).radialaxis,o=l.angularaxis);var c=a.c2l(t.r);s.rLabel=i.tickText(a,c,!0).text;var u="degrees"===o.thetaunit?n.rad2deg(t.theta):t.theta;return s.thetaLabel=i.tickText(o,u,!0).text,s}},{"../../lib":750,"../../plots/cartesian/axes":799}],1236:[function(t,e,r){"use strict";var n=t("../scatter/hover");function i(t,e,r,n){var i=r.radialAxis,a=r.angularAxis;i._hovertitle="r",a._hovertitle="\u03b8";var o={};o[e.subplot]={_subplot:r};var s=e._module.formatLabels(t,e,o);n.rLabel=s.rLabel,n.thetaLabel=s.thetaLabel;var l=t.hi||e.hoverinfo,c=[];function u(t,e){c.push(t._hovertitle+": "+e)}if(!e.hovertemplate){var h=l.split("+");-1!==h.indexOf("all")&&(h=["r","theta","text"]),-1!==h.indexOf("r")&&u(i,n.rLabel),-1!==h.indexOf("theta")&&u(a,n.thetaLabel),-1!==h.indexOf("text")&&n.text&&(c.push(n.text),delete n.text),n.extraText=c.join("<br>")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{"../scatter/hover":1169}],1237:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"scatterpolar",basePlotModule:t("../../plots/polar"),categories:["polar","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover").hoverPoints,selectPoints:t("../scatter/select"),meta:{}}},{"../../plots/polar":865,"../scatter/marker_colorbar":1176,"../scatter/select":1180,"../scatter/style":1182,"./attributes":1232,"./calc":1233,"./defaults":1234,"./format_labels":1235,"./hover":1236,"./plot":1238}],1238:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../constants/numerical").BADNUM;e.exports=function(t,e,r){for(var a=e.layers.frontplot.select("g.scatterlayer"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c<r.length;c++)for(var u=r[c],h=0;h<u.length;h++){var f=u[h],p=f.r;if(p===i)f.x=f.y=i;else{var d=s.c2g(p),g=l.c2g(f.theta);f.x=d*Math.cos(g),f.y=d*Math.sin(g)}}n(t,o,r,a)}},{"../../constants/numerical":725,"../scatter/plot":1179}],1239:[function(t,e,r){"use strict";var n=t("../scatterpolar/attributes"),i=t("../scattergl/attributes"),a=t("../../plots/template_attributes").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:"plot"},{keys:["r","theta","text"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{"../../plots/template_attributes":877,"../scattergl/attributes":1210,"../scatterpolar/attributes":1232}],1240:[function(t,e,r){"use strict";var n=t("../scatter/colorscale_calc"),i=t("../scatter/calc").calcMarkerSize,a=t("../scattergl/convert"),o=t("../../plots/cartesian/axes"),s=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e){var r=t._fullLayout,l=e.subplot,c=r[l].radialaxis,u=r[l].angularaxis,h=e._r=c.makeCalcdata(e,"r"),f=e._theta=u.makeCalcdata(e,"theta"),p=e._length,d={};p<h.length&&(h=h.slice(0,p)),p<f.length&&(f=f.slice(0,p)),d.r=h,d.theta=f,n(t,e);var g,m=d.opts=a.style(t,e);return p<s?g=i(e,p):m.marker&&(g=2*(m.marker.sizeAvg||Math.max(m.marker.size,3))),e._extremes.x=o.findExtremes(c,h,{ppad:g}),[{x:!1,y:!1,t:d,trace:e}]}},{"../../plots/cartesian/axes":799,"../scatter/calc":1159,"../scatter/colorscale_calc":1161,"../scattergl/constants":1212,"../scattergl/convert":1213}],1241:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatterpolar/defaults").handleRThetaDefaults,o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("../scatter/fillcolor_defaults"),u=t("../scatter/constants").PTS_LINESONLY,h=t("./attributes");e.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,r,i)}var d=a(t,e,f,p);d?(p("thetaunit"),p("mode",d<u?"lines+markers":"lines"),p("text"),p("hovertext"),"fills"!==e.hoveron&&p("hovertemplate"),i.hasLines(e)&&(s(t,e,r,f,p),p("connectgaps")),i.hasMarkers(e)&&o(t,e,r,f,p),i.hasText(e)&&(p("texttemplate"),l(t,e,f,p)),p("fill"),"none"!==e.fill&&c(t,e,r,p),n.coerceSelectionMarkerOpacity(e,p)):e.visible=!1}},{"../../lib":750,"../scatter/constants":1162,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"../scatterpolar/defaults":1234,"./attributes":1239}],1242:[function(t,e,r){"use strict";var n=t("../scatterpolar/format_labels");e.exports=function(t,e,r){var i=t.i;return"r"in t||(t.r=e._r[i]),"theta"in t||(t.theta=e._theta[i]),n(t,e,r)}},{"../scatterpolar/format_labels":1235}],1243:[function(t,e,r){"use strict";var n=t("../scattergl/hover"),i=t("../scatterpolar/hover").makeHoverPointText;e.exports={hoverPoints:function(t,e,r,a){var o=t.cd[0].t,s=o.r,l=o.theta,c=n.hoverPoints(t,e,r,a);if(c&&!1!==c[0].index){var u=c[0];if(void 0===u.index)return c;var h=t.subplot,f=u.cd[u.index],p=u.trace;if(f.r=s[u.index],f.theta=l[u.index],h.isPtInside(f))return u.xLabelVal=void 0,u.yLabelVal=void 0,i(f,p,h,u),c}}}},{"../scattergl/hover":1218,"../scatterpolar/hover":1236}],1244:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"scatterpolargl",basePlotModule:t("../../plots/polar"),categories:["gl","regl","polar","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("../scattergl/select"),meta:{}}},{"../../plots/polar":865,"../scatter/marker_colorbar":1176,"../scattergl/select":1222,"./attributes":1239,"./calc":1240,"./defaults":1241,"./format_labels":1242,"./hover":1243,"./plot":1245}],1245:[function(t,e,r){"use strict";var n=t("@plotly/point-cluster"),i=t("fast-isnumeric"),a=t("../scattergl/plot"),o=t("../scattergl/scene_update"),s=t("../scattergl/convert"),l=t("../../lib"),c=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e,r){if(r.length){var u=e.radialAxis,h=e.angularAxis,f=o(t,e);return r.forEach((function(r){if(r&&r[0]&&r[0].trace){var a,o=r[0],p=o.trace,d=o.t,g=p._length,m=d.r,v=d.theta,y=d.opts,x=m.slice(),b=v.slice();for(a=0;a<m.length;a++)e.isPtInside({r:m[a],theta:v[a]})||(x[a]=NaN,b[a]=NaN);var _=new Array(2*g),w=Array(g),T=Array(g);for(a=0;a<g;a++){var k,M,A=x[a];if(i(A)){var S=u.c2g(A),E=h.c2g(b[a],p.thetaunit);k=S*Math.cos(E),M=S*Math.sin(E)}else k=M=NaN;w[a]=_[2*a]=k,T[a]=_[2*a+1]=M}d.tree=n(_),y.marker&&g>=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!f.fill2d&&(f.fill2d=!0),y.marker&&!f.scatter2d&&(f.scatter2d=!0),y.line&&!f.line2d&&(f.line2d=!0),y.text&&!f.glText&&(f.glText=!0),f.lineOptions.push(y.line),f.fillOptions.push(y.fill),f.markerOptions.push(y.marker),f.markerSelectedOptions.push(y.markerSel),f.markerUnselectedOptions.push(y.markerUnsel),f.textOptions.push(y.text),f.textSelectedOptions.push(y.textSel),f.textUnselectedOptions.push(y.textUnsel),f.selectBatch.push([]),f.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=f,d.index=f.count,f.count++}})),a(t,e,r)}}},{"../../lib":750,"../scattergl/constants":1212,"../scattergl/convert":1213,"../scattergl/plot":1220,"../scattergl/scene_update":1221,"@plotly/point-cluster":57,"fast-isnumeric":241}],1246:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scatter/attributes"),o=t("../../plots/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../components/drawing/attributes").dash,c=t("../../lib/extend").extendFlat,u=a.marker,h=a.line,f=u.line;e.exports={a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},c:{valType:"data_array",editType:"calc"},sum:{valType:"number",dflt:0,min:0,editType:"calc"},mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),texttemplate:i({editType:"plot"},{keys:["a","b","c","text"]}),hovertext:c({},a.hovertext,{}),line:{color:h.color,width:h.width,dash:l,shape:c({},h.shape,{values:["linear","spline"]}),smoothing:h.smoothing,editType:"calc"},connectgaps:a.connectgaps,cliponaxis:a.cliponaxis,fill:c({},a.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:a.fillcolor,marker:c({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:c({width:f.width,editType:"calc"},s("marker.line")),gradient:u.gradient,editType:"calc"},s("marker")),textfont:a.textfont,textposition:a.textposition,selected:a.selected,unselected:a.unselected,hoverinfo:c({},o.hoverinfo,{flags:["a","b","c","text","name"]}),hoveron:a.hoveron,hovertemplate:n()}},{"../../components/colorscale/attributes":622,"../../components/drawing/attributes":636,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../scatter/attributes":1158}],1247:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../scatter/colorscale_calc"),a=t("../scatter/arrays_to_calcdata"),o=t("../scatter/calc_selection"),s=t("../scatter/calc").calcMarkerSize,l=["a","b","c"],c={a:["b","c"],b:["a","c"],c:["a","b"]};e.exports=function(t,e){var r,u,h,f,p,d,g=t._fullLayout[e.subplot].sum,m=e.sum||g,v={a:e.a,b:e.b,c:e.c};for(r=0;r<l.length;r++)if(!v[h=l[r]]){for(p=v[c[h][0]],d=v[c[h][1]],f=new Array(p.length),u=0;u<p.length;u++)f[u]=m-p[u]-d[u];v[h]=f}var y,x,b,_,w,T,k=e._length,M=new Array(k);for(r=0;r<k;r++)y=v.a[r],x=v.b[r],b=v.c[r],n(y)&&n(x)&&n(b)?(1!==(_=g/((y=+y)+(x=+x)+(b=+b)))&&(y*=_,x*=_,b*=_),T=y,w=b-x,M[r]={x:w,y:T,a:y,b:x,c:b}):M[r]={x:!1,y:!1};return s(e,k),i(t,e),a(M,e),o(M,e),M}},{"../scatter/arrays_to_calcdata":1157,"../scatter/calc":1159,"../scatter/calc_selection":1160,"../scatter/colorscale_calc":1161,"fast-isnumeric":241}],1248:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,r,i)}var d,g=p("a"),m=p("b"),v=p("c");if(g?(d=g.length,m?(d=Math.min(d,m.length),v&&(d=Math.min(d,v.length))):d=v?Math.min(d,v.length):0):m&&v&&(d=Math.min(m.length,v.length)),d){e._length=d,p("sum"),p("text"),p("hovertext"),"fills"!==e.hoveron&&p("hovertemplate"),p("mode",d<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),a.hasText(e)&&(p("texttemplate"),c(t,e,f,p));var y=[];(a.hasMarkers(e)||a.hasText(e))&&(p("cliponaxis"),p("marker.maxdisplayed"),y.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||y.push("fills"),p("hoveron",y.join("+")||"points"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{"../../lib":750,"../scatter/constants":1162,"../scatter/fillcolor_defaults":1166,"../scatter/line_defaults":1171,"../scatter/line_shape_defaults":1173,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scatter/text_defaults":1184,"./attributes":1246}],1249:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){if(e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),n[i]){var a=n[i];t.a=a.a,t.b=a.b,t.c=a.c}else t.a=e.a,t.b=e.b,t.c=e.c;return t}},{}],1250:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot;return i.aLabel=n.tickText(a.aaxis,t.a,!0).text,i.bLabel=n.tickText(a.baxis,t.b,!0).text,i.cLabel=n.tickText(a.caxis,t.c,!0).text,i}},{"../../plots/cartesian/axes":799}],1251:[function(t,e,r){"use strict";var n=t("../scatter/hover");e.exports=function(t,e,r,i){var a=n(t,e,r,i);if(a&&!1!==a[0].index){var o=a[0];if(void 0===o.index){var s=1-o.y0/t.ya._length,l=t.xa._length,c=l*s/2,u=l-c;return o.x0=Math.max(Math.min(o.x0,u),c),o.x1=Math.max(Math.min(o.x1,u),c),a}var h=o.cd[o.index],f=o.trace,p=o.subplot;o.a=h.a,o.b=h.b,o.c=h.c,o.xLabelVal=void 0,o.yLabelVal=void 0;var d={};d[f.subplot]={_subplot:p};var g=f._module.formatLabels(h,f,d);o.aLabel=g.aLabel,o.bLabel=g.bLabel,o.cLabel=g.cLabel;var m=h.hi||f.hoverinfo,v=[];if(!f.hovertemplate){var y=m.split("+");-1!==y.indexOf("all")&&(y=["a","b","c"]),-1!==y.indexOf("a")&&x(p.aaxis,o.aLabel),-1!==y.indexOf("b")&&x(p.baxis,o.bLabel),-1!==y.indexOf("c")&&x(p.caxis,o.cLabel)}return o.extraText=v.join("<br>"),o.hovertemplate=f.hovertemplate,a}function x(t,e){v.push(t._hovertitle+": "+e)}}},{"../scatter/hover":1169}],1252:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),style:t("../scatter/style").style,styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../scatter/select"),eventData:t("./event_data"),moduleType:"trace",name:"scatterternary",basePlotModule:t("../../plots/ternary"),categories:["ternary","symbols","showLegend","scatter-like"],meta:{}}},{"../../plots/ternary":878,"../scatter/marker_colorbar":1176,"../scatter/select":1180,"../scatter/style":1182,"./attributes":1246,"./calc":1247,"./defaults":1248,"./event_data":1249,"./format_labels":1250,"./hover":1251,"./plot":1253}],1253:[function(t,e,r){"use strict";var n=t("../scatter/plot");e.exports=function(t,e,r){var i=e.plotContainer;i.select(".scatterlayer").selectAll("*").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select("g.scatterlayer");n(t,a,r,o)}},{"../scatter/plot":1179}],1254:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../scattergl/attributes"),s=t("../../plots/cartesian/constants").idRegex,l=t("../../plot_api/plot_template").templatedArray,c=t("../../lib/extend").extendFlat,u=n.marker,h=u.line,f=c(i("marker.line",{editTypeOverride:"calc"}),{width:c({},h.width,{editType:"calc"}),editType:"calc"}),p=c(i("marker"),{symbol:u.symbol,size:c({},u.size,{editType:"markerSize"}),sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:f,editType:"calc"});function d(t){return{valType:"info_array",freeLength:!0,editType:"calc",items:{valType:"subplotid",regex:s[t],editType:"plot"}}}p.color.editType=p.cmin.editType=p.cmax.editType="style",e.exports={dimensions:l("dimension",{visible:{valType:"boolean",dflt:!0,editType:"calc"},label:{valType:"string",editType:"calc"},values:{valType:"data_array",editType:"calc+clearAxisTypes"},axis:{type:{valType:"enumerated",values:["linear","log","date","category"],editType:"calc+clearAxisTypes"},matches:{valType:"boolean",dflt:!1,editType:"calc"},editType:"calc+clearAxisTypes"},editType:"calc+clearAxisTypes"}),text:c({},o.text,{}),hovertext:c({},o.hovertext,{}),hovertemplate:a(),marker:p,xaxes:d("x"),yaxes:d("y"),diagonal:{visible:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},showupperhalf:{valType:"boolean",dflt:!0,editType:"calc"},showlowerhalf:{valType:"boolean",dflt:!0,editType:"calc"},selected:{marker:o.selected.marker,editType:"calc"},unselected:{marker:o.unselected.marker,editType:"calc"},opacity:o.opacity}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/plot_template":788,"../../plots/cartesian/constants":805,"../../plots/template_attributes":877,"../scatter/attributes":1158,"../scattergl/attributes":1210}],1255:[function(t,e,r){"use strict";var n=t("regl-line2d"),i=t("../../registry"),a=t("../../lib/prepare_regl"),o=t("../../plots/get_data").getModuleCalcData,s=t("../../plots/cartesian"),l=t("../../plots/cartesian/axis_ids").getFromId,c=t("../../plots/cartesian/axes").shouldShowZeroLine;function u(t,e,r){for(var n=r.matrixOptions.data.length,i=e._visibleDims,a=r.viewOpts.ranges=new Array(n),o=0;o<i.length;o++){var s=i[o],c=a[o]=new Array(4),u=l(t,e._diag[s][0]);u&&(c[0]=u.r2l(u.range[0]),c[2]=u.r2l(u.range[1]));var h=l(t,e._diag[s][1]);h&&(c[1]=h.r2l(h.range[0]),c[3]=h.r2l(h.range[1]))}r.selectBatch.length||r.unselectBatch.length?r.matrix.update({ranges:a},{ranges:a}):r.matrix.update({ranges:a})}function h(t){var e=t._fullLayout,r=e._glcanvas.data()[0].regl,i=e._splomGrid;i||(i=e._splomGrid=n(r)),i.update(function(t){var e,r=t._fullLayout,n=r._size,i=[0,0,r.width,r.height],a={};function o(t,e,r,n,o,s){var l=e[t+"color"],c=e[t+"width"],u=String(l+c);u in a?a[u].data.push(NaN,NaN,r,n,o,s):a[u]={data:[r,n,o,s],join:"rect",thickness:c,color:l,viewport:i,range:i,overlay:!1}}for(e in r._splomSubplots){var s,l,u=r._plots[e],h=u.xaxis,f=u.yaxis,p=h._gridVals,d=f._gridVals,g=n.b+f.domain[0]*n.h,m=-f._m,v=-m*f.r2l(f.range[0],f.calendar);if(h.showgrid)for(e=0;e<p.length;e++)s=h._offset+h.l2p(p[e].x),o("grid",h,s,g,s,g+f._length);if(f.showgrid)for(e=0;e<d.length;e++)l=g+v+m*d[e].x,o("grid",f,h._offset,l,h._offset+h._length,l);c(t,h,f)&&(s=h._offset+h.l2p(0),o("zeroline",h,s,g,s,g+f._length)),c(t,f,h)&&(l=g+v+0,o("zeroline",f,h._offset,l,h._offset+h._length,l))}var y=[];for(e in a)y.push(a[e]);return y}(t))}e.exports={name:"splom",attr:s.attr,attrRegex:s.attrRegex,layoutAttributes:s.layoutAttributes,supplyLayoutDefaults:s.supplyLayoutDefaults,drawFramework:s.drawFramework,plot:function(t){var e=t._fullLayout,r=i.getModule("splom"),n=o(t.calcdata,r)[0];a(t,["ANGLE_instanced_arrays","OES_element_index_uint"])&&(e._hasOnlyLargeSploms&&h(t),r.plot(t,{},n))},drag:function(t){var e=t.calcdata,r=t._fullLayout;r._hasOnlyLargeSploms&&h(t);for(var n=0;n<e.length;n++){var i=e[n][0].trace,a=r._splomScenes[i.uid];"splom"===i.type&&a&&a.matrix&&u(t,i,a)}},updateGrid:h,clean:function(t,e,r,n){var i,a={};if(n._splomScenes){for(i=0;i<t.length;i++){var o=t[i];"splom"===o.type&&(a[o.uid]=1)}for(i=0;i<r.length;i++){var l=r[i];if(!a[l.uid]){var c=n._splomScenes[l.uid];c&&c.destroy&&c.destroy(),n._splomScenes[l.uid]=null,delete n._splomScenes[l.uid]}}}0===Object.keys(n._splomScenes||{}).length&&delete n._splomScenes,n._splomGrid&&!e._hasOnlyLargeSploms&&n._hasOnlyLargeSploms&&(n._splomGrid.destroy(),n._splomGrid=null,delete n._splomGrid),s.clean(t,e,r,n)},updateFx:s.updateFx,toSVG:s.toSVG}},{"../../lib/prepare_regl":763,"../../plots/cartesian":812,"../../plots/cartesian/axes":799,"../../plots/cartesian/axis_ids":802,"../../plots/get_data":836,"../../registry":882,"regl-line2d":509}],1256:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axis_ids"),a=t("../scatter/calc").calcMarkerSize,o=t("../scatter/calc").calcAxisExpansion,s=t("../scatter/colorscale_calc"),l=t("../scattergl/convert").markerSelection,c=t("../scattergl/convert").markerStyle,u=t("./scene_update"),h=t("../../constants/numerical").BADNUM,f=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e){var r,p,d,g,m,v,y=e.dimensions,x=e._length,b={},_=b.cdata=[],w=b.data=[],T=e._visibleDims=[];function k(t,r){for(var i=t.makeCalcdata({v:r.values,vcalendar:e.calendar},"v"),a=0;a<i.length;a++)i[a]=i[a]===h?NaN:i[a];_.push(i),w.push("log"===t.type?n.simpleMap(i,t.c2l):i)}for(r=0;r<y.length;r++)if((d=y[r]).visible){if(g=i.getFromId(t,e._diag[r][0]),m=i.getFromId(t,e._diag[r][1]),g&&m&&g.type!==m.type){n.log("Skipping splom dimension "+r+" with conflicting axis types");continue}g?(k(g,d),m&&"category"===m.type&&(m._categories=g._categories.slice())):k(m,d),T.push(r)}for(s(t,e),n.extendFlat(b,c(e)),v=_.length*x>f?2*(b.sizeAvg||Math.max(b.size,3)):a(e,x),p=0;p<T.length;p++)d=y[r=T[p]],g=i.getFromId(t,e._diag[r][0])||{},m=i.getFromId(t,e._diag[r][1])||{},o(t,e,g,m,_[p],_[p],v);var M=u(t,e);return M.matrix||(M.matrix=!0),M.matrixOptions=b,M.selectedOptions=l(e,e.selected),M.unselectedOptions=l(e,e.unselected),[{x:!1,y:!1,t:{},trace:e}]}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/axis_ids":802,"../scatter/calc":1159,"../scatter/colorscale_calc":1161,"../scattergl/constants":1212,"../scattergl/convert":1213,"./scene_update":1263}],1257:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/array_container_defaults"),a=t("./attributes"),o=t("../scatter/subtypes"),s=t("../scatter/marker_defaults"),l=t("../parcoords/merge_length"),c=t("../scattergl/helpers").isOpenSymbol;function u(t,e){function r(r,i){return n.coerce(t,e,a.dimensions,r,i)}r("label");var i=r("values");i&&i.length?r("visible"):e.visible=!1,r("axis.type"),r("axis.matches")}e.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,a,r,i)}var p=i(t,e,{name:"dimensions",handleItemDefaults:u}),d=f("diagonal.visible"),g=f("showupperhalf"),m=f("showlowerhalf");if(l(e,p,"values")&&(d||g||m)){f("text"),f("hovertext"),f("hovertemplate"),s(t,e,r,h,f);var v=c(e.marker.symbol),y=o.isBubble(e);f("marker.line.width",v||y?1:0),function(t,e,r,n){var i,a,o=e.dimensions,s=o.length,l=e.showupperhalf,c=e.showlowerhalf,u=e.diagonal.visible,h=new Array(s),f=new Array(s);for(i=0;i<s;i++){var p=i?i+1:"";h[i]="x"+p,f[i]="y"+p}var d=n("xaxes",h),g=n("yaxes",f),m=e._diag=new Array(s);e._xaxes={},e._yaxes={};var v=[],y=[];function x(t,n,i,a){if(t){var o=t.charAt(0),s=r._splomAxes[o];if(e["_"+o+"axes"][t]=1,a.push(t),!(t in s)){var l=s[t]={};i&&(l.label=i.label||"",i.visible&&i.axis&&(i.axis.type&&(l.type=i.axis.type),i.axis.matches&&(l.matches=n)))}}}var b=!u&&!c,_=!u&&!l;for(e._axesDim={},i=0;i<s;i++){var w=o[i],T=0===i,k=i===s-1,M=T&&b||k&&_?void 0:d[i],A=T&&_||k&&b?void 0:g[i];x(M,A,w,v),x(A,M,w,y),m[i]=[M,A],e._axesDim[M]=i,e._axesDim[A]=i}for(i=0;i<v.length;i++)for(a=0;a<y.length;a++){var S=v[i]+y[a];i>a&&l||i<a&&c?r._splomSubplots[S]=1:i!==a||!u&&c&&l||(r._splomSubplots[S]=1)}(!c||!u&&l&&c)&&(r._splomGridDflt.xside="bottom",r._splomGridDflt.yside="left")}(0,e,h,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},{"../../lib":750,"../../plots/array_container_defaults":794,"../parcoords/merge_length":1129,"../scatter/marker_defaults":1177,"../scatter/subtypes":1183,"../scattergl/helpers":1217,"./attributes":1254}],1258:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/colorscale_calc"),a=t("../scattergl/convert").markerStyle;e.exports=function(t,e){var r=e.trace,o=t._fullLayout._splomScenes[r.uid];if(o){i(t,r),n.extendFlat(o.matrixOptions,a(r));var s=n.extendFlat({},o.matrixOptions,o.viewOpts);o.matrix.update(s,null)}}},{"../../lib":750,"../scatter/colorscale_calc":1161,"../scattergl/convert":1213}],1259:[function(t,e,r){"use strict";r.getDimIndex=function(t,e){for(var r=e._id,n={x:0,y:1}[r.charAt(0)],i=t._visibleDims,a=0;a<i.length;a++){var o=i[a];if(t._diag[o][n]===r)return a}return!1}},{}],1260:[function(t,e,r){"use strict";var n=t("./helpers"),i=t("../scattergl/hover").calcHover;e.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,c=s.c2p(e),u=l.c2p(r),h=t.distance,f=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===f||!1===p)return[t];for(var d,g,m=o[f],v=o[p],y=h,x=0;x<m.length;x++){var b=m[x],_=v[x],w=s.c2p(b)-c,T=l.c2p(_)-u,k=Math.sqrt(w*w+T*T);k<y&&(y=g=k,d=x)}return t.index=d,t.distance=y,t.dxy=g,void 0===d?[t]:[i(t,m,v,a)]}}},{"../scattergl/hover":1218,"./helpers":1259}],1261:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../components/grid");e.exports={moduleType:"trace",name:"splom",basePlotModule:t("./base_plot"),categories:["gl","regl","cartesian","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select"),editStyle:t("./edit_style"),meta:{}},n.register(i)},{"../../components/grid":659,"../../registry":882,"../scatter/marker_colorbar":1176,"./attributes":1254,"./base_plot":1255,"./calc":1256,"./defaults":1257,"./edit_style":1258,"./hover":1260,"./plot":1262,"./select":1264}],1262:[function(t,e,r){"use strict";var n=t("regl-splom"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids"),o=t("../../components/dragelement/helpers").selectMode;function s(t,e){var r,s,l,c,u,h=t._fullLayout,f=h._size,p=e.trace,d=e.t,g=h._splomScenes[p.uid],m=g.matrixOptions,v=m.cdata,y=h._glcanvas.data()[0].regl,x=h.dragmode;if(0!==v.length){m.lower=p.showupperhalf,m.upper=p.showlowerhalf,m.diagonal=p.diagonal.visible;var b=p._visibleDims,_=v.length,w=g.viewOpts={};for(w.ranges=new Array(_),w.domains=new Array(_),u=0;u<b.length;u++){l=b[u];var T=w.ranges[u]=new Array(4),k=w.domains[u]=new Array(4);(r=a.getFromId(t,p._diag[l][0]))&&(T[0]=r._rl[0],T[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(s=a.getFromId(t,p._diag[l][1]))&&(T[1]=s._rl[0],T[3]=s._rl[1],k[1]=s.domain[0],k[3]=s.domain[1])}w.viewport=[f.l,f.b,f.w+f.l,f.h+f.b],!0===g.matrix&&(g.matrix=n(y));var M=h.clickmode.indexOf("select")>-1,A=!0;if(o(x)||!!p.selectedpoints||M){var S=p._length;if(p.selectedpoints){g.selectBatch=p.selectedpoints;var E=p.selectedpoints,C={};for(l=0;l<E.length;l++)C[E[l]]=!0;var L=[];for(l=0;l<S;l++)C[l]||L.push(l);g.unselectBatch=L}var P=d.xpx=new Array(_),I=d.ypx=new Array(_);for(u=0;u<b.length;u++){if(l=b[u],r=a.getFromId(t,p._diag[l][0]))for(P[u]=new Array(S),c=0;c<S;c++)P[u][c]=r.c2p(v[u][c]);if(s=a.getFromId(t,p._diag[l][1]))for(I[u]=new Array(S),c=0;c<S;c++)I[u][c]=s.c2p(v[u][c])}if(g.selectBatch.length||g.unselectBatch.length){var z=i.extendFlat({},m,g.unselectedOptions,w),O=i.extendFlat({},m,g.selectedOptions,w);g.matrix.update(z,O),A=!1}}else d.xpx=d.ypx=null;if(A){var D=i.extendFlat({},m,w);g.matrix.update(D,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{"../../components/dragelement/helpers":633,"../../lib":750,"../../plots/cartesian/axis_ids":802,"regl-splom":511}],1263:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},{"../../lib":750}],1264:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("./helpers");e.exports=function(t,e){var r=t.cd,o=r[0].trace,s=r[0].t,l=t.scene,c=l.matrixOptions.cdata,u=t.xaxis,h=t.yaxis,f=[];if(!l)return f;var p=!i.hasMarkers(o)&&!i.hasText(o);if(!0!==o.visible||p)return f;var d=a.getDimIndex(o,u),g=a.getDimIndex(o,h);if(!1===d||!1===g)return f;var m=s.xpx[d],v=s.ypx[g],y=c[d],x=c[g],b=[],_=[];if(!1!==e&&!e.degenerate)for(var w=0;w<y.length;w++)e.contains([m[w],v[w]],null,w,t)?(b.push(w),f.push({pointNumber:w,x:y[w],y:x[w]})):_.push(w);var T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,f}},{"../../lib":750,"../scatter/subtypes":1183,"./helpers":1259}],1265:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:i({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n("",{colorAttr:"u/v/w norm",showScaleDflt:!0,editTypeOverride:"calc"}));["opacity","lightposition","lighting"].forEach((function(t){l[t]=a[t]})),l.hoverinfo=s({},o.hoverinfo,{editType:"calc",flags:["x","y","z","u","v","w","norm","divergence","text","name"],dflt:"x+y+z+norm+text+name"}),l.transforms=void 0,e.exports=l},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../mesh3d/attributes":1099}],1266:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/calc");function a(t){var e,r,i,a,s,l,c,u,h,f,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,M="";for(y&&(c=g[0],h=m[0],p=v[0]),y>1&&(u=g[y-1],f=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,M+="x"),s||m[e]===h||(s=!0,M+="y"),l||v[e]===p||(l=!0,M+="z");a||(M+="x"),s||(M+="y"),l||(M+="z");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace("x",(c>u?"-":"+")+"x")).replace("y",(h>f?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var C=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&C();var L=function(t){return"x"===t?g:"y"===t?m:v},P=function(t){return"x"===t?A:"y"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},z=L(M[1]),O=L(M[3]),D=L(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(L(M[1])),V=I(L(M[3])),q=I(L(M[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Y]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! Unable to input data grid."),C()),{xMin:b,yMin:w,zMin:k,xMax:x,yMax:_,zMax:T,Xs:A,Ys:S,Zs:E,len:y,fill:M}}function o(t){return n.distinctVals(t).vals}function s(t,e){if(void 0===e&&(e=t.length),n.isTypedArray(t))return t.subarray(0,e);for(var r=[],i=0;i<e;i++)r[i]=+t[i];return r}e.exports={calc:function(t,e){e._len=Math.min(e.u.length,e.v.length,e.w.length,e.x.length,e.y.length,e.z.length),e._u=s(e.u,e._len),e._v=s(e.v,e._len),e._w=s(e.w,e._len),e._x=s(e.x,e._len),e._y=s(e.y,e._len),e._z=s(e.z,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;var n,o,l,c=0;e.starts&&(n=s(e.starts.x||[]),o=s(e.starts.y||[]),l=s(e.starts.z||[]),c=Math.min(n.length,o.length,l.length)),e._startsX=n||[],e._startsY=o||[],e._startsZ=l||[];var u,h=0,f=1/0;for(u=0;u<e._len;u++){var p=e._u[u],d=e._v[u],g=e._w[u],m=Math.sqrt(p*p+d*d+g*g);h=Math.max(h,m),f=Math.min(f,m)}for(i(t,e,{vals:[f,h],containerStr:"",cLetter:"c"}),u=0;u<c;u++){var v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":623,"../../lib":750}],1267:[function(t,e,r){"use strict";var n=t("gl-streamtube3d"),i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(h.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var g=d(e._Xs,"xaxis"),m=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(h.meshgrid=[g,m,v],h.gridFill=e._gridFill,e._slen)h.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=m[0],x=f(g),b=f(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];h.startingPositions=_}h.colormap=o(e),h.tubeSize=e.sizeref,h.maxLength=e.maxdisplayed;var M=d(e._xbnds,"xaxis"),A=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(g),C=p(m),L=p(v),P=[[M[0]-E[0],A[0]-C[0],S[0]-L[0]],[M[1]+E[1],A[1]+C[1],S[1]+L[1]]],I=n(h,P),z=s(e);I.vertexIntensityBounds=[z.min/e._normMax,z.max/e._normMax];var O=e.lightposition;return I.lightPosition=[O.x,O.y,O.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../components/colorscale":627,"../../lib":750,"../../lib/gl_format_color":746,"../../plots/gl3d/zip3":852,"gl-streamtube3d":323}],1268:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),h=s("x"),f=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":625,"../../lib":750,"./attributes":1265}],1269:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":841,"./attributes":1265,"./calc":1266,"./convert":1267,"./defaults":1268}],1270:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/domain").attributes,l=t("../pie/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:u({colors:{valType:"data_array",editType:"calc"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current path","percent root","percent entry","percent parent"],extras:["none"],editType:"plot"},texttemplate:a({editType:"plot"},{keys:c.eventDataKeys.concat(["label","value"])}),hovertext:l.hovertext,hoverinfo:u({},n.hoverinfo,{flags:["label","text","value","name","current path","percent root","percent entry","percent parent"],dflt:"label+text+value+name"}),hovertemplate:i({},{keys:c.eventDataKeys}),textfont:l.textfont,insidetextorientation:l.insidetextorientation,insidetextfont:l.insidetextfont,outsidetextfont:u({},l.outsidetextfont,{}),rotation:{valType:"angle",dflt:0,editType:"plot"},sort:l.sort,domain:s({name:"sunburst",trace:!0,editType:"calc"})}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/domain":826,"../../plots/template_attributes":877,"../pie/attributes":1132,"./constants":1273}],1271:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="sunburst",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":862}],1272:[function(t,e,r){"use strict";var n=t("d3-hierarchy"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../components/colorscale").makeColorScaleFuncFromTrace,s=t("../pie/calc").makePullColorFn,l=t("../pie/calc").generateExtendedColors,c=t("../../components/colorscale").calc,u=t("../../constants/numerical").ALMOST_EQUAL,h={},f={};r.calc=function(t,e){var r,l,h,f,p,d,g=t._fullLayout,m=e.ids,v=a.isArrayOrTypedArray(m),y=e.labels,x=e.parents,b=e.values,_=a.isArrayOrTypedArray(b),w=[],T={},k={},M=function(t){return t||"number"==typeof t},A=function(t){return!_||i(b[t])&&b[t]>=0};v?(r=Math.min(m.length,x.length),l=function(t){return M(m[t])&&A(t)},h=function(t){return String(m[t])}):(r=Math.min(y.length,x.length),l=function(t){return M(y[t])&&A(t)},h=function(t){return String(y[t])}),_&&(r=Math.min(r,b.length));for(var S=0;S<r;S++)if(l(S)){var E=h(S),C=M(x[S])?String(x[S]):"",L={i:S,id:E,pid:C,label:M(y[S])?String(y[S]):""};_&&(L.v=+b[S]),w.push(L),p=E,T[f=C]?T[f].push(p):T[f]=[p],k[p]=1}if(T[""]){if(T[""].length>1){for(var P=a.randstr(),I=0;I<w.length;I++)""===w[I].pid&&(w[I].pid=P);w.unshift({hasMultipleRoots:!0,id:P,pid:"",label:""})}}else{var z,O=[];for(z in T)k[z]||O.push(z);if(1!==O.length)return a.warn(["Multiple implied roots, cannot build",e.type,"hierarchy of",e.name+".","These roots include:",O.join(", ")].join(" "));z=O[0],w.unshift({hasImpliedRoot:!0,id:z,pid:"",label:z})}try{d=n.stratify().id((function(t){return t.id})).parentId((function(t){return t.pid}))(w)}catch(t){return a.warn(["Failed to build",e.type,"hierarchy of",e.name+".","Error:",t.message].join(" "))}var D=n.hierarchy(d),R=!1;if(_)switch(e.branchvalues){case"remainder":D.sum((function(t){return t.data.v}));break;case"total":D.each((function(t){var r=t.data.data,n=r.v;if(t.children){var i=t.children.reduce((function(t,e){return t+e.data.data.v}),0);if((r.hasImpliedRoot||r.hasMultipleRoots)&&(n=i),n<i*u)return R=!0,a.warn(["Total value for node",t.data.data.id,"of",e.name,"is smaller than the sum of its children.","\nparent value =",n,"\nchildren sum =",i].join(" "))}t.value=n}))}else!function t(e,r,n){var i=0,a=e.children;if(a){for(var o=a.length,s=0;s<o;s++)i+=t(a[s],r,n);n.branches&&i++}else n.leaves&&i++;e.value=e.data.data.value=i,r._values||(r._values=[]);return r._values[e.data.data.i]=i,i}(D,e,{branches:-1!==e.count.indexOf("branches"),leaves:-1!==e.count.indexOf("leaves")});if(!R){var F,B;e.sort&&D.sort((function(t,e){return e.value-t.value}));var N=e.marker.colors||[],j=!!N.length;return e._hasColorscale?(j||(N=_?e.values:e._values),c(t,e,{vals:N,containerStr:"marker",cLetter:"c"}),B=o(e.marker)):F=s(g["_"+e.type+"colormap"]),D.each((function(t){var r=t.data.data;r.color=e._hasColorscale?B(N[r.i]):F(N[r.i],r.id)})),w[0].hierarchy=D,w}},r._runCrossTraceCalc=function(t,e){var r=e._fullLayout,n=e.calcdata,i=r[t+"colorway"],a=r["_"+t+"colormap"];r["extend"+t+"colors"]&&(i=l(i,"treemap"===t?f:h));var o=0;function s(t){var e=t.data.data,r=e.id;!1===e.color&&(a[r]?e.color=a[r]:t.parent?t.parent.parent?e.color=t.parent.data.data.color:(a[r]=e.color=i[o%i.length],o++):e.color="rgba(0,0,0,0)")}for(var c=0;c<n.length;c++){var u=n[c][0];u.trace.type===t&&u.hierarchy&&u.hierarchy.each(s)}},r.crossTraceCalc=function(t){return r._runCrossTraceCalc("sunburst",t)}},{"../../components/colorscale":627,"../../constants/numerical":725,"../../lib":750,"../pie/calc":1134,"d3-hierarchy":161,"fast-isnumeric":241}],1273:[function(t,e,r){"use strict";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"linear",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"]}},{}],1274:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText,s=t("../../components/colorscale"),l=s.hasColorscale,c=s.handleDefaults;e.exports=function(t,e,r,s){function u(r,a){return n.coerce(t,e,i,r,a)}var h=u("labels"),f=u("parents");if(h&&h.length&&f&&f.length){var p=u("values");p&&p.length?u("branchvalues"):u("count"),u("level"),u("maxdepth"),u("marker.line.width")&&u("marker.line.color",s.paper_bgcolor),u("marker.colors");var d=e._hasColorscale=l(t,"marker","colors")||(t.marker||{}).coloraxis;d&&c(t,e,s,u,{prefix:"marker.",cLetter:"c"}),u("leaf.opacity",d?1:.7);var g=u("text");u("texttemplate"),e.texttemplate||u("textinfo",Array.isArray(g)?"text+label":"label"),u("hovertext"),u("hovertemplate");o(t,e,s,u,"auto",{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),u("insidetextorientation"),u("sort"),u("rotation"),a(e,s,u),e._length=null}else e.visible=!1}},{"../../components/colorscale":627,"../../lib":750,"../../plots/domain":826,"../bar/defaults":896,"./attributes":1270}],1275:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../registry"),a=t("../../components/fx/helpers").appendArrayPointValue,o=t("../../components/fx"),s=t("../../lib"),l=t("../../lib/events"),c=t("./helpers"),u=t("../pie/helpers").formatPieValue;function h(t,e,r){for(var n=t.data.data,i={curveNumber:e.index,pointNumber:n.i,data:e._input,fullData:e},o=0;o<r.length;o++){var s=r[o];s in t&&(i[s]=t[s])}return"parentString"in t&&!c.isHierarchyRoot(t)&&(i.parent=t.parentString),a(i,e,n.i),i}e.exports=function(t,e,r,a,f){var p=a[0],d=p.trace,g=p.hierarchy,m="sunburst"===d.type,v="treemap"===d.type;"_hasHoverLabel"in d||(d._hasHoverLabel=!1),"_hasHoverEvent"in d||(d._hasHoverEvent=!1);t.on("mouseover",(function(i){var a=r._fullLayout;if(!r._dragging&&!1!==a.hovermode){var l=r._fullData[d.index],y=i.data.data,x=y.i,b=c.isHierarchyRoot(i),_=c.getParent(g,i),w=c.getValue(i),T=function(t){return s.castOption(l,x,t)},k=T("hovertemplate"),M=o.castHoverinfo(l,a,x),A=a.separators;if(k||M&&"none"!==M&&"skip"!==M){var S,E;m&&(S=p.cx+i.pxmid[0]*(1-i.rInscribed),E=p.cy+i.pxmid[1]*(1-i.rInscribed)),v&&(S=i._hoverX,E=i._hoverY);var C,L={},P=[],I=[],z=function(t){return-1!==P.indexOf(t)};M&&(P="all"===M?l._module.attributes.hoverinfo.flags:M.split("+")),L.label=y.label,z("label")&&L.label&&I.push(L.label),y.hasOwnProperty("v")&&(L.value=y.v,L.valueLabel=u(L.value,A),z("value")&&I.push(L.valueLabel)),L.currentPath=i.currentPath=c.getPath(i.data),z("current path")&&!b&&I.push(L.currentPath);var O=[],D=function(){-1===O.indexOf(C)&&(I.push(C),O.push(C))};L.percentParent=i.percentParent=w/c.getValue(_),L.parent=i.parentString=c.getPtLabel(_),z("percent parent")&&(C=c.formatPercent(L.percentParent,A)+" of "+L.parent,D()),L.percentEntry=i.percentEntry=w/c.getValue(e),L.entry=i.entry=c.getPtLabel(e),!z("percent entry")||b||i.onPathbar||(C=c.formatPercent(L.percentEntry,A)+" of "+L.entry,D()),L.percentRoot=i.percentRoot=w/c.getValue(g),L.root=i.root=c.getPtLabel(g),z("percent root")&&!b&&(C=c.formatPercent(L.percentRoot,A)+" of "+L.root,D()),L.text=T("hovertext")||T("text"),z("text")&&(C=L.text,s.isValidTextValue(C)&&I.push(C));var R={trace:l,y:E,text:I.join("<br>"),name:k||z("name")?l.name:void 0,color:T("hoverlabel.bgcolor")||y.color,borderColor:T("hoverlabel.bordercolor"),fontFamily:T("hoverlabel.font.family"),fontSize:T("hoverlabel.font.size"),fontColor:T("hoverlabel.font.color"),nameLength:T("hoverlabel.namelength"),textAlign:T("hoverlabel.align"),hovertemplate:k,hovertemplateLabels:L,eventData:[h(i,l,f.eventDataKeys)]};m&&(R.x0=S-i.rInscribed*i.rpx1,R.x1=S+i.rInscribed*i.rpx1,R.idealAlign=i.pxmid[0]<0?"left":"right"),v&&(R.x=S,R.idealAlign=S<0?"left":"right"),o.loneHover(R,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r}),d._hasHoverLabel=!0}if(v){var F=t.select("path.surface");f.styleOne(F,i,l,{hovered:!0})}d._hasHoverEvent=!0,r.emit("plotly_hover",{points:[h(i,l,f.eventDataKeys)],event:n.event})}})),t.on("mouseout",(function(e){var i=r._fullLayout,a=r._fullData[d.index],s=n.select(this).datum();if(d._hasHoverEvent&&(e.originalEvent=n.event,r.emit("plotly_unhover",{points:[h(s,a,f.eventDataKeys)],event:n.event}),d._hasHoverEvent=!1),d._hasHoverLabel&&(o.loneUnhover(i._hoverlayer.node()),d._hasHoverLabel=!1),v){var l=t.select("path.surface");f.styleOne(l,s,a,{hovered:!1})}})),t.on("click",(function(t){var e=r._fullLayout,a=r._fullData[d.index],s=m&&(c.isHierarchyRoot(t)||c.isLeaf(t)),u=c.getPtId(t),p=c.isEntry(t)?c.findEntryWithChild(g,u):c.findEntryWithLevel(g,u),v=c.getPtId(p),y={points:[h(t,a,f.eventDataKeys)],event:n.event};s||(y.nextLevel=v);var x=l.triggerHandler(r,"plotly_"+d.type+"click",y);if(!1!==x&&e.hovermode&&(r._hoverdata=[h(t,a,f.eventDataKeys)],o.click(r,n.event)),!s&&!1!==x&&!r._dragging&&!r._transitioning){i.call("_storeDirectGUIEdit",a,e._tracePreGUI[a.uid],{level:a.level});var b={data:[{level:v}],traces:[d.index]},_={frame:{redraw:!1,duration:f.transitionTime},transition:{duration:f.transitionTime,easing:f.transitionEasing},mode:"immediate",fromcurrent:!0};o.loneUnhover(e._hoverlayer.node()),i.call("animate",r,b,_)}}))}},{"../../components/fx":655,"../../components/fx/helpers":651,"../../lib":750,"../../lib/events":739,"../../registry":882,"../pie/helpers":1137,"./helpers":1276,d3:169}],1276:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../lib/setcursor"),o=t("../pie/helpers");function s(t){return t.data.data.pid}r.findEntryWithLevel=function(t,e){var n;return e&&t.eachAfter((function(t){if(r.getPtId(t)===e)return n=t.copy()})),n||t},r.findEntryWithChild=function(t,e){var n;return t.eachAfter((function(t){for(var i=t.children||[],a=0;a<i.length;a++){var o=i[a];if(r.getPtId(o)===e)return n=t.copy()}})),n||t},r.isEntry=function(t){return!t.parent},r.isLeaf=function(t){return!t.children},r.getPtId=function(t){return t.data.data.id},r.getPtLabel=function(t){return t.data.data.label},r.getValue=function(t){return t.value},r.isHierarchyRoot=function(t){return""===s(t)},r.setSliceCursor=function(t,e,n){var i=n.isTransitioning;if(!i){var o=t.datum();i=n.hideOnRoot&&r.isHierarchyRoot(o)||n.hideOnLeaves&&r.isLeaf(o)}a(t,i?null:"pointer")},r.getInsideTextFontKey=function(t,e,r,i,a){var o=(a||{}).onPathbar?"pathbar.textfont":"insidetextfont",s=r.data.data.i;return n.castOption(e,s,o+"."+t)||n.castOption(e,s,"textfont."+t)||i.size},r.getOutsideTextFontKey=function(t,e,r,i){var a=r.data.data.i;return n.castOption(e,a,"outsidetextfont."+t)||n.castOption(e,a,"textfont."+t)||i.size},r.isOutsideText=function(t,e){return!t._hasColorscale&&r.isHierarchyRoot(e)},r.determineTextFont=function(t,e,a,o){return r.isOutsideText(t,e)?function(t,e,n){return{color:r.getOutsideTextFontKey("color",t,e,n),family:r.getOutsideTextFontKey("family",t,e,n),size:r.getOutsideTextFontKey("size",t,e,n)}}(t,e,a):function(t,e,a,o){var s=(o||{}).onPathbar,l=e.data.data,c=l.i,u=n.castOption(t,c,(s?"pathbar.textfont":"insidetextfont")+".color");return!u&&t._input.textfont&&(u=n.castOption(t._input,c,"textfont.color")),{color:u||i.contrast(l.color),family:r.getInsideTextFontKey("family",t,e,a,o),size:r.getInsideTextFontKey("size",t,e,a,o)}}(t,e,a,o)},r.hasTransition=function(t){return!!(t&&t.duration>0)},r.getMaxDepth=function(t){return t.maxdepth>=0?t.maxdepth:1/0},r.isHeader=function(t,e){return!(r.isLeaf(t)||t.depth===e._maxDepth-1)},r.getParent=function(t,e){return r.findEntryWithLevel(t,s(e))},r.listPath=function(t,e){var n=t.parent;if(!n)return[];var i=e?[n.data[e]]:[n];return r.listPath(n,e).concat(i)},r.getPath=function(t){return r.listPath(t,"label").join("/")+"/"},r.formatValue=o.formatPieValue,r.formatPercent=function(t,e){var r=n.formatPercent(t,0);return"0%"===r&&(r=o.formatPiePercent(t,e)),r}},{"../../components/color":615,"../../lib":750,"../../lib/setcursor":770,"../pie/helpers":1137}],1277:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"sunburst",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":1176,"./attributes":1270,"./base_plot":1271,"./calc":1272,"./defaults":1274,"./layout_attributes":1278,"./layout_defaults":1279,"./plot":1280,"./style":1281}],1278:[function(t,e,r){"use strict";e.exports={sunburstcolorway:{valType:"colorlist",editType:"calc"},extendsunburstcolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1279:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("sunburstcolorway",e.colorway),r("extendsunburstcolors")}},{"../../lib":750,"./layout_attributes":1278}],1280:[function(t,e,r){"use strict";var n=t("d3"),i=t("d3-hierarchy"),a=t("../../components/drawing"),o=t("../../lib"),s=t("../../lib/svg_text_utils"),l=t("../bar/uniform_text"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t("../pie/plot"),f=t("../pie/helpers").getRotationAngle,p=h.computeTransform,d=h.transformInsideText,g=t("./style").styleOne,m=t("../bar/style").resizeText,v=t("./fx"),y=t("./constants"),x=t("./helpers");function b(t,e,l,u){var h=t._fullLayout,m=!h.uniformtext.mode&&x.hasTransition(u),b=n.select(l).selectAll("g.slice"),w=e[0],T=w.trace,k=w.hierarchy,M=x.findEntryWithLevel(k,T.level),A=x.getMaxDepth(T),S=h._size,E=T.domain,C=S.w*(E.x[1]-E.x[0]),L=S.h*(E.y[1]-E.y[0]),P=.5*Math.min(C,L),I=w.cx=S.l+S.w*(E.x[1]+E.x[0])/2,z=w.cy=S.t+S.h*(1-E.y[0])-L/2;if(!M)return b.remove();var O=null,D={};m&&b.each((function(t){D[x.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!O&&x.isEntry(t)&&(O=t)}));var R=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),F=M.height+1,B=0,N=A;w.hasMultipleRoots&&x.isHierarchyRoot(M)&&(R=R.slice(1),F-=1,B=1,N+=1),R=R.filter((function(t){return t.y1<=N}));var j=f(T.rotation);j&&R.forEach((function(t){t.x0+=j,t.x1+=j}));var U=Math.min(F,A),V=function(t){return(t-B)/U*P},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},H=function(t){return o.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,I,z)},G=function(t){return I+_(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},Y=function(t){return z+_(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(b=b.data(R,x.getPtId)).enter().append("g").classed("slice",!0),m?b.exit().transition().each((function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",(function(t){var e=function(t){var e,r=x.getPtId(t),i=D[r],a=D[x.getPtId(M)];if(a){var o=(t.x1>a.x1?2*Math.PI:0)+j;e=t.rpx1<a.rpx1?{rpx0:0,rpx1:0}:{x0:o,x1:o}}else{var s,l=x.getPtId(t.parent);b.each((function(t){if(x.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(x.getPtId(t)===r)return c=e}));var h=u.length,f=n.interpolate(s.x0,s.x1);e={rpx0:P,rpx1:P,x0:f(c/h),x1:f((c+1)/h)}}return n.interpolate(i,e)}(t);return function(t){return H(e(t))}})),t.select("g.slicetext").attr("opacity",0)})).remove():b.exit().remove(),b.order();var W=null;if(m&&O){var Z=x.getPtId(O);b.each((function(t){null===W&&x.getPtId(t)===Z&&(W=t.x1)}))}var X=b;function J(t){var e=t.parent,r=D[x.getPtId(e)],i={};if(r){var a=e.children,o=a.indexOf(t),s=a.length,l=n.interpolate(r.x0,r.x1);i.x0=l(o/s),i.x1=l(o/s)}else i.x0=i.x1=0;return i}m&&(X=X.transition().each("end",(function(){var e=n.select(this);x.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),X.each((function(i){var l=n.select(this),u=o.ensureSingle(l,"path","surface",(function(t){t.style("pointer-events","all")}));i.rpx0=V(i.y0),i.rpx1=V(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(o.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&o.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),m?u.transition().attrTween("d",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(O)if(t.parent)if(W){var a=(t.x1>W?2*Math.PI:0)+j;e={x0:a,x1:a}}else e={rpx0:P,rpx1:P},o.extendFlat(e,J(t));else e={rpx0:0,rpx1:0};else e={x0:j,x1:j};return n.interpolate(e,i)}(t);return function(t){return H(e(t))}})):u.attr("d",H),l.call(v,M,t,e,{eventDataKeys:y.eventDataKeys,transitionTime:y.CLICK_TRANSITION_TIME,transitionEasing:y.CLICK_TRANSITION_EASING}).call(x.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(g,i,T);var f=o.ensureSingle(l,"g","slicetext"),b=o.ensureSingle(f,"text","",(function(t){t.attr("data-notex",1)})),_=o.ensureUniformFontSize(t,x.determineTextFont(T,i,h.font));b.text(r.formatSliceLabel(i,M,T,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(a.font,_).call(s.convertToTspans,t);var k=a.bBox(b.node());i.transform=d(k,i,w),i.transform.targetX=G(i),i.transform.targetY=Y(i);var A=function(t,e){var r=t.transform;return p(r,e),r.fontSize=_.size,c(T.type,r,h),o.getTextTransform(r)};m?b.transition().attrTween("transform",(function(t){var e=function(t){var e,r=D[x.getPtId(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:i.textPosAngle,scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},O)if(t.parent)if(W){var a=t.x1>W?2*Math.PI:0;e.x0=e.x1=a}else o.extendFlat(e,J(t));else e.x0=e.x1=j;else e.x0=e.x1=j;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),f=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,i.scale),d=n.interpolate(e.transform.rotate,i.rotate),g=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,m=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=l(t),r=u(t),n=f(t),a=function(t){return m(Math.pow(t,g))}(t),o={pxmid:q(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:a,x:i.x,y:i.y}};return c(T.type,i,h),{transform:{targetX:G(o),targetY:Y(o),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return A(e(t),k)}})):b.attr("transform",A(i,k))}))}function _(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&x.hasTransition(r);(u("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),h)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&m(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,s=r.textinfo;if(!(a||s&&"none"!==s))return"";var l=i.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=x.isHierarchyRoot(t),p=x.getParent(h,t),d=x.getValue(t);if(!a){var g,m=s.split("+"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(x.formatValue(u.v,l)),!f){v("current path")&&y.push(x.getPath(t.data));var b=0;v("percent parent")&&b++,v("percent entry")&&b++,v("percent root")&&b++;var _=b>1;if(b){var w,T=function(t){g=x.formatPercent(w,l),_&&(g+=" of "+t),y.push(g)};v("percent parent")&&!f&&(w=d/x.getValue(p),T("parent")),v("percent entry")&&(w=d/x.getValue(e),T("entry")),v("percent root")&&(w=d/x.getValue(h),T("root"))}}return v("text")&&(g=o.castOption(r,u.i,"text"),o.isValidTextValue(g)&&y.push(g)),y.join("<br>")}var k=o.castOption(r,u.i,"texttemplate");if(!k)return"";var M={};u.label&&(M.label=u.label),u.hasOwnProperty("v")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),f||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(h),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(h),u.hasOwnProperty("color")&&(M.color=u.color);var A=o.castOption(r,u.i,"text");return(o.isValidTextValue(A)||""===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,"customdata"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{"../../components/drawing":637,"../../lib":750,"../../lib/svg_text_utils":774,"../bar/style":906,"../bar/uniform_text":908,"../pie/helpers":1137,"../pie/plot":1141,"./constants":1273,"./fx":1275,"./helpers":1276,"./style":1281,d3:169,"d3-hierarchy":161}],1281:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":615,"../../lib":750,"../bar/uniform_text":908,d3:169}],1282:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;function c(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");u.x.editType=u.y.editType=u.z.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/color":615,"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../../plots/template_attributes":877}],1283:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":623}],1284:[function(t,e,r){"use strict";var n=t("gl-surface3d"),i=t("ndarray"),a=t("ndarray-linear-interpolate").d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),h=t("../../components/colorscale").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=h(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var M=[!0,!0,!0],A=["x","y","z"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,"lighting"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),"lightposition"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new f(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../components/colorscale":627,"../../lib":750,"../../lib/gl_format_color":746,"../../lib/str2rgbarray":773,"../heatmap/find_empties":1042,"../heatmap/interp2d":1045,"gl-surface3d":325,ndarray:469,"ndarray-linear-interpolate":463}],1285:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../../components/colorscale/defaults"),o=t("./attributes");function s(t,e,r,n){var i=n("opacityscale");"max"===i?e.opacityscale=[[0,.1],[1,1]]:"min"===i?e.opacityscale=[[0,1],[1,.1]]:"extremes"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,h;function f(r,n){return i.coerce(t,e,o,r,n)}var p=f("x"),d=f("y"),g=f("z");if(!g||!g.length||p&&p.length<1||d&&d.length<1)e.visible=!1;else{e._xlength=Array.isArray(p)&&i.isArrayOrTypedArray(p[0])?g.length:g[0].length,e._ylength=g.length,n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],c),f("text"),f("hovertext"),f("hovertemplate"),["lighting.ambient","lighting.diffuse","lighting.specular","lighting.roughness","lighting.fresnel","lightposition.x","lightposition.y","lightposition.z","hidesurface","connectgaps","opacity"].forEach((function(t){f(t)}));var m=f("surfacecolor"),v=["x","y","z"];for(u=0;u<3;++u){var y="contours."+v[u],x=f(y+".show"),b=f(y+".highlight");if(x||b)for(h=0;h<3;++h)f(y+".project."+v[h]);x&&(f(y+".color"),f(y+".width"),f(y+".usecolormap")),b&&(f(y+".highlightcolor"),f(y+".highlightwidth")),f(y+".start"),f(y+".end"),f(y+".size")}m||(l(t,"zmin","cmin"),l(t,"zmax","cmax"),l(t,"zauto","cauto")),a(t,e,c,f,{prefix:"",cLetter:"c"}),s(t,e,c,f),e._length=null}},opacityscaleDefaults:s}},{"../../components/colorscale/defaults":625,"../../lib":750,"../../registry":882,"./attributes":1282}],1286:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,colorbar:{min:"cmin",max:"cmax"},calc:t("./calc"),plot:t("./convert"),moduleType:"trace",name:"surface",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","2dMap","showLegend"],meta:{}}},{"../../plots/gl3d":841,"./attributes":1282,"./calc":1283,"./convert":1284,"./defaults":1285}],1287:[function(t,e,r){"use strict";var n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes;t("../../constants/docs").FORMAT_LINK;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[]},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[]},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))}},"calc","from-root")).transforms=void 0},{"../../components/annotations/attributes":598,"../../constants/docs":720,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/domain":826,"../../plots/font_attributes":827}],1288:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getModuleCalcData,i=t("./plot");r.name="table",r.plot=function(t){var e=n(t.calcdata,"table")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("table"),a=e._has&&e._has("table");i&&!a&&n._paperdiv.selectAll(".table").remove()}},{"../../plots/get_data":836,"./plot":1295}],1289:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap;e.exports=function(){return n({})}},{"../../lib/gup":747}],1290:[function(t,e,r){"use strict";e.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\$.*\$$/,goldenRatio:1.618,lineBreaker:"<br>",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:"cubic-out",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:"cubic-out",uplift:5,wrapSpacer:" ",wrapSplitCharacter:" ",cn:{table:"table",tableControlView:"table-control-view",scrollBackground:"scroll-background",yColumn:"y-column",columnBlock:"column-block",scrollAreaClip:"scroll-area-clip",scrollAreaClipRect:"scroll-area-clip-rect",columnBoundary:"column-boundary",columnBoundaryClippath:"column-boundary-clippath",columnBoundaryRect:"column-boundary-rect",columnCells:"column-cells",columnCell:"column-cell",cellRect:"cell-rect",cellText:"cell-text",cellTextHolder:"cell-text-holder",scrollbarKit:"scrollbar-kit",scrollbar:"scrollbar",scrollbarSlider:"scrollbar-slider",scrollbarGlyph:"scrollbar-glyph",scrollbarCaptureZone:"scrollbar-capture-zone"}}},{}],1291:[function(t,e,r){"use strict";var n=t("./constants"),i=t("../../lib/extend").extendFlat,a=t("fast-isnumeric");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function h(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function f(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[""]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=f(b,y-_+n.uplift),T=h(f(x,_),[]),k=h(w,T),M={},A=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var C=Math.max(o(e.header.line.width),o(e.cells.line.width)),L={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:C,height:y,columnOrder:A,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+"__"+M[t],label:t,specIndex:e,xIndex:A[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return L.columns.forEach((function(t){t.calcdata=L,t.x=u(t)})),L}},{"../../lib/extend":740,"./constants":1290,"fast-isnumeric":241}],1292:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> ]/)?"_keybuster_"+Math.random():""),key:e[0]+n,column:t,calcdata:t.calcdata,page:t.page,rowBlocks:t.rowBlocks,value:r}}))}},{"../../lib/extend":740}],1293:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults;e.exports=function(t,e,r,o){function s(r,a){return n.coerce(t,e,i,r,a)}a(e,o,s),s("columnwidth"),s("header.values"),s("header.format"),s("header.align"),s("header.prefix"),s("header.suffix"),s("header.height"),s("header.line.width"),s("header.line.color"),s("header.fill.color"),n.coerceFont(s,"header.font",n.extendFlat({},o.font)),function(t,e){for(var r=t.columnorder||[],n=t.header.values.length,i=r.slice(0,n),a=i.slice().sort((function(t,e){return t-e})),o=i.map((function(t){return a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e("columnorder",o)}(e,s),s("cells.values"),s("cells.format"),s("cells.align"),s("cells.prefix"),s("cells.suffix"),s("cells.height"),s("cells.line.width"),s("cells.line.color"),s("cells.fill.color"),n.coerceFont(s,"cells.font",n.extendFlat({},o.font)),e._length=null}},{"../../lib":750,"../../plots/domain":826,"./attributes":1287}],1294:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),moduleType:"trace",name:"table",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":1287,"./base_plot":1288,"./calc":1289,"./defaults":1293,"./plot":1295}],1295:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("../../lib/gup"),o=t("../../components/drawing"),s=t("../../lib/svg_text_utils"),l=t("../../lib").raiseToTop,c=t("../../lib").cancelTransition,u=t("./data_preparation_helper"),h=t("./data_split_helpers"),f=t("../../components/color");function p(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function d(t,e){return"clip"+t._fullLayout._uid+"_scrollAreaBottomClip_"+e.key}function g(t,e){return"clip"+t._fullLayout._uid+"_columnBoundaryClippath_"+e.calcdata.key+"_"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function v(t,e,r){var o=t.selectAll("."+n.cn.scrollbarKit).data(a.repeat,a.keyFun);o.enter().append("g").classed(n.cn.scrollbarKit,!0).style("shape-rendering","geometricPrecision"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?O(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-M(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr("transform",(function(t){return"translate("+(t.width+n.scrollbarWidth/2+n.scrollbarOffset)+" "+M(t)+")"}));var s=o.selectAll("."+n.cn.scrollbar).data(a.repeat,a.keyFun);s.enter().append("g").classed(n.cn.scrollbar,!0);var l=s.selectAll("."+n.cn.scrollbarSlider).data(a.repeat,a.keyFun);l.enter().append("g").classed(n.cn.scrollbarSlider,!0),l.attr("transform",(function(t){return"translate(0 "+(t.scrollbarState.topY||0)+")"}));var c=l.selectAll("."+n.cn.scrollbarGlyph).data(a.repeat,a.keyFun);c.enter().append("line").classed(n.cn.scrollbarGlyph,!0).attr("stroke","black").attr("stroke-width",n.scrollbarWidth).attr("stroke-linecap","round").attr("y1",n.scrollbarWidth/2),c.attr("y2",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr("stroke-opacity",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr("stroke-opacity",0);var u=s.selectAll("."+n.cn.scrollbarCaptureZone).data(a.repeat,a.keyFun);u.enter().append("line").classed(n.cn.scrollbarCaptureZone,!0).attr("stroke","white").attr("stroke-opacity",.01).attr("stroke-width",n.scrollbarCaptureWidth).attr("stroke-linecap","butt").attr("y1",0).on("mousedown",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||S(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on("drag",S(e,t)).on("dragend",(function(){}))),u.attr("y2",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),u.remove())}function y(t,e,r,s){var l=function(t){var e=t.selectAll("."+n.cn.columnCell).data(h.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append("g").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll("."+n.cn.columnCells).data(a.repeat,a.keyFun);return e.enter().append("g").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:_(r.size,n,e),color:_(r.color,n,e),family:_(r.family,n,e)};t.rowNumber=t.key,t.align=_(t.calcdata.cells.align,n,e),t.cellBorderWidth=_(t.calcdata.cells.line.width,n,e),t.font=i}))}(l),function(t){t.attr("width",(function(t){return t.column.columnWidth})).attr("stroke-width",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);f.stroke(e,_(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),f.fill(e,_(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(function(t){var e=t.selectAll("."+n.cn.cellRect).data(a.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append("rect").classed(n.cn.cellRect,!0),e}(l));var c=function(t){var e=t.selectAll("."+n.cn.cellText).data(a.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append("text").classed(n.cn.cellText,!0).style("cursor",(function(){return"auto"})).on("mousedown",(function(){i.event.stopPropagation()})),e}(function(t){var e=t.selectAll("."+n.cn.cellTextHolder).data(a.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append("g").classed(n.cn.cellTextHolder,!0).style("shape-rendering","geometricPrecision"),e}(l));!function(t){t.each((function(t){o.font(i.select(this),t.font)}))}(c),x(c,e,s,t),I(l)}function x(t,e,r,a){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,a=t.value,o="string"==typeof a,s=o&&a.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&a.match(/[<&>]/);var c,u="string"==typeof(c=a)&&c.match(n.latexCheck);t.latex=u;var h,f,p=u?"":_(t.calcdata.cells.prefix,e,r)||"",d=u?"":_(t.calcdata.cells.suffix,e,r)||"",g=u?null:_(t.calcdata.cells.format,e,r)||null,m=p+(g?i.format(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(h=b(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===h?b(m):h),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(" "===n.wrapSplitCharacter?m.replace(/<a href=/gi,"<a_href="):m).split(n.wrapSplitCharacter),y=" "===n.wrapSplitCharacter?v.map((function(t){return t.replace(/<a_href=/gi,"<a href=")})):v;t.fragments=y.map((function(t){return{text:t,width:null}})),t.fragments.push({fragment:n.wrapSpacer,width:null}),f=y.join(n.lineBreaker)+n.lineBreaker+n.wrapSpacer}else delete t.fragments,f=m;return f})).attr("dy",(function(t){return t.needsConvertToTspans?0:"0.75em"})).each((function(t){var o=i.select(this),l=t.wrappingNeeded?C:L;t.needsConvertToTspans?s.convertToTspans(o,a,l(r,this,e,a,t)):i.select(this.parentNode).attr("transform",(function(t){return"translate("+P(t)+" "+n.cellPad+")"})).attr("text-anchor",(function(t){return{left:"start",center:"middle",right:"end"}[t.align]}))}))}function b(t){return-1!==t.indexOf(n.wrapSplitCharacter)}function _(t,e,r){if(Array.isArray(t)){var n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function w(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr("transform","translate("+e.x+" "+r+")")}function T(t){return"cells"===t.type}function k(t){return"header"===t.type}function M(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+O(e,1/0)}),0)}function A(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-M(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr("transform",(function(t){return"translate(0 "+(z(t.rowBlocks,t.page)-t.scrollY)+")"})),t&&(E(t,r,e,c,n.prevPages,n,0),E(t,r,e,c,n.prevPages,n,1),v(r,t))}}function S(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var h=l.selectAll("."+n.cn.yColumn).selectAll("."+n.cn.columnBlock).filter(T);return A(t,h,l),s.scrollY===u}}function E(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));y(t,e,a,r),i[o]=n[o]})))}function C(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll("tspan.line").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value="";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll("tspan.line").remove(),x(o.select("."+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(I)}}function L(t,e,r,a,o){return function(){if(!o.settledY){var s=i.select(e.parentNode),l=R(o),c=o.key-l.firstRowIndex,u=l.rows[c].rowHeight,h=o.cellHeightMayIncrease?e.parentNode.getBoundingClientRect().height+2*n.cellPad:u,f=Math.max(h,u);f-l.rows[c].rowHeight&&(l.rows[c].rowHeight=f,t.selectAll("."+n.cn.columnCell).call(I),A(null,t.filter(T),0),v(r,a,!0)),s.attr("transform",(function(){var t=this.parentNode.getBoundingClientRect(),e=i.select(this.parentNode).select("."+n.cn.cellRect).node().getBoundingClientRect(),r=this.transform.baseVal.consolidate(),a=e.top-t.top+(r?r.matrix.f:n.cellPad);return"translate("+P(o,i.select(this.parentNode).select("."+n.cn.cellTextHolder).node().getBoundingClientRect().width)+" "+a+")"})),o.settledY=!0}}}function P(t,e){switch(t.align){case"left":return n.cellPad;case"right":return t.column.columnWidth-(e||0)-n.cellPad;case"center":return(t.column.columnWidth-(e||0))/2;default:return n.cellPad}}function I(t){t.attr("transform",(function(t){var e=t.rowBlocks[0].auxiliaryBlocks.reduce((function(t,e){return t+O(e,1/0)}),0);return"translate(0 "+(O(R(t),t.key)+e)+")"})).selectAll("."+n.cn.cellRect).attr("height",(function(t){return(e=R(t),r=t.key,e.rows[r-e.firstRowIndex]).rowHeight;var e,r}))}function z(t,e){for(var r=0,n=e-1;n>=0;n--)r+=D(t[n]);return r}function O(t,e){for(var r=0,n=0;n<t.rows.length&&t.rows[n].rowIndex<e;n++)r+=t.rows[n].rowHeight;return r}function D(t){var e=t.allRowsHeight;if(void 0!==e)return e;for(var r=0,n=0;n<t.rows.length;n++)r+=t.rows[n].rowHeight;return t.allRowsHeight=r,r}function R(t){return t.rowBlocks[t.page]}e.exports=function(t,e){var r=!t._context.staticPlot,s=t._fullLayout._paper.selectAll("."+n.cn.table).data(e.map((function(e){var r=a.unwrap(e).trace;return u(t,r)})),a.keyFun);s.exit().remove(),s.enter().append("g").classed(n.cn.table,!0).attr("overflow","visible").style("box-sizing","content-box").style("position","absolute").style("left",0).style("overflow","visible").style("shape-rendering","crispEdges").style("pointer-events","all"),s.attr("width",(function(t){return t.width+t.size.l+t.size.r})).attr("height",(function(t){return t.height+t.size.t+t.size.b})).attr("transform",(function(t){return"translate("+t.translateX+","+t.translateY+")"}));var f=s.selectAll("."+n.cn.tableControlView).data(a.repeat,a.keyFun),x=f.enter().append("g").classed(n.cn.tableControlView,!0).style("box-sizing","content-box");if(r){var b="onwheel"in document?"wheel":"mousewheel";x.on("mousemove",(function(e){f.filter((function(t){return e===t})).call(v,t)})).on(b,(function(e){if(!e.scrollbarState.wheeling){e.scrollbarState.wheeling=!0;var r=e.scrollY+i.event.deltaY;S(t,f,null,r)(e)||(i.event.stopPropagation(),i.event.preventDefault()),e.scrollbarState.wheeling=!1}})).call(v,t,!0)}f.attr("transform",(function(t){return"translate("+t.size.l+" "+t.size.t+")"}));var _=f.selectAll("."+n.cn.scrollBackground).data(a.repeat,a.keyFun);_.enter().append("rect").classed(n.cn.scrollBackground,!0).attr("fill","none"),_.attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),f.each((function(e){o.setClipUrl(i.select(this),d(t,e),t)}));var M=f.selectAll("."+n.cn.yColumn).data((function(t){return t.columns}),a.keyFun);M.enter().append("g").classed(n.cn.yColumn,!0),M.exit().remove(),M.attr("transform",(function(t){return"translate("+t.x+" 0)"})),r&&M.call(i.behavior.drag().origin((function(e){return w(i.select(this),e,-n.uplift),l(this),e.calcdata.columnDragInProgress=!0,v(f.filter((function(t){return e.calcdata.key===t.key})),t),e})).on("drag",(function(t){var e=i.select(this),r=function(e){return(t===e?i.event.x:e.x)+e.columnWidth/2};t.x=Math.max(-n.overdrag,Math.min(t.calcdata.width+n.overdrag-t.columnWidth,i.event.x)),m(M).filter((function(e){return e.calcdata.key===t.calcdata.key})).sort((function(t,e){return r(t)-r(e)})).forEach((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e)})),M.filter((function(e){return t!==e})).transition().ease(n.transitionEase).duration(n.transitionDuration).attr("transform",(function(t){return"translate("+t.x+" 0)"})),e.call(c).attr("transform","translate("+t.x+" -"+n.uplift+" )")})).on("dragend",(function(e){var r=i.select(this),n=e.calcdata;e.x=e.xScale(e),e.calcdata.columnDragInProgress=!1,w(r,e,0),function(t,e,r){var n=e.gdColumnsOriginalOrder;e.gdColumns.sort((function(t,e){return r[n.indexOf(t)]-r[n.indexOf(e)]})),e.columnorder=r,t.emit("plotly_restyle")}(t,n,n.columns.map((function(t){return t.xIndex})))}))),M.each((function(e){o.setClipUrl(i.select(this),g(t,e),t)}));var E=M.selectAll("."+n.cn.columnBlock).data(h.splitToPanels,a.keyFun);E.enter().append("g").classed(n.cn.columnBlock,!0).attr("id",(function(t){return t.key})),E.style("cursor",(function(t){return t.dragHandle?"ew-resize":t.calcdata.scrollbarState.barWiggleRoom?"ns-resize":"default"}));var C=E.filter(k),L=E.filter(T);r&&L.call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t})).on("drag",S(t,f,-1)).on("dragend",(function(){}))),y(t,f,C,E),y(t,f,L,E);var P=f.selectAll("."+n.cn.scrollAreaClip).data(a.repeat,a.keyFun);P.enter().append("clipPath").classed(n.cn.scrollAreaClip,!0).attr("id",(function(e){return d(t,e)}));var I=P.selectAll("."+n.cn.scrollAreaClipRect).data(a.repeat,a.keyFun);I.enter().append("rect").classed(n.cn.scrollAreaClipRect,!0).attr("x",-n.overdrag).attr("y",-n.uplift).attr("fill","none"),I.attr("width",(function(t){return t.width+2*n.overdrag})).attr("height",(function(t){return t.height+n.uplift})),M.selectAll("."+n.cn.columnBoundary).data(a.repeat,a.keyFun).enter().append("g").classed(n.cn.columnBoundary,!0);var z=M.selectAll("."+n.cn.columnBoundaryClippath).data(a.repeat,a.keyFun);z.enter().append("clipPath").classed(n.cn.columnBoundaryClippath,!0),z.attr("id",(function(e){return g(t,e)}));var O=z.selectAll("."+n.cn.columnBoundaryRect).data(a.repeat,a.keyFun);O.enter().append("rect").classed(n.cn.columnBoundaryRect,!0).attr("fill","none"),O.attr("width",(function(t){return t.columnWidth+2*p(t)})).attr("height",(function(t){return t.calcdata.height+2*p(t)+n.uplift})).attr("x",(function(t){return-p(t)})).attr("y",(function(t){return-p(t)})),A(null,L,f)}},{"../../components/color":615,"../../components/drawing":637,"../../lib":750,"../../lib/gup":747,"../../lib/svg_text_utils":774,"./constants":1290,"./data_preparation_helper":1291,"./data_split_helpers":1292,d3:169}],1296:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../../components/colorscale/attributes"),o=t("../../plots/domain").attributes,s=t("../pie/attributes"),l=t("../sunburst/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:"enumerated",values:["squarify","binary","dice","slice","slice-dice","dice-slice"],dflt:"squarify",editType:"plot"},squarifyratio:{valType:"number",min:1,dflt:1,editType:"plot"},flip:{valType:"flaglist",flags:["x","y"],dflt:"",editType:"plot"},pad:{valType:"number",min:0,dflt:3,editType:"plot"},editType:"calc"},marker:u({pad:{t:{valType:"number",min:0,editType:"plot"},l:{valType:"number",min:0,editType:"plot"},r:{valType:"number",min:0,editType:"plot"},b:{valType:"number",min:0,editType:"plot"},editType:"calc"},colors:l.marker.colors,depthfade:{valType:"enumerated",values:[!0,!1,"reversed"],editType:"style"},line:l.marker.line,editType:"calc"},a("marker",{colorAttr:"colors",anim:!1})),pathbar:{visible:{valType:"boolean",dflt:!0,editType:"plot"},side:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},edgeshape:{valType:"enumerated",values:[">","<","|","/","\\"],dflt:">",editType:"plot"},thickness:{valType:"number",min:12,editType:"plot"},textfont:u({},s.textfont,{}),editType:"calc"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:"plot"},{keys:c.eventDataKeys.concat(["label","value"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:"enumerated",values:["top left","top center","top right","middle left","middle center","middle right","bottom left","bottom center","bottom right"],dflt:"top left",editType:"plot"},sort:s.sort,domain:o({name:"treemap",trace:!0,editType:"calc"})}},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plots/domain":826,"../../plots/template_attributes":877,"../pie/attributes":1132,"../sunburst/attributes":1270,"./constants":1299}],1297:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="treemap",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":862}],1298:[function(t,e,r){"use strict";var n=t("../sunburst/calc");r.calc=function(t,e){return n.calc(t,e)},r.crossTraceCalc=function(t){return n._runCrossTraceCalc("treemap",t)}},{"../sunburst/calc":1272}],1299:[function(t,e,r){"use strict";e.exports={CLICK_TRANSITION_TIME:750,CLICK_TRANSITION_EASING:"poly",eventDataKeys:["currentPath","root","entry","percentRoot","percentEntry","percentParent"],gapWithPathbar:1}},{}],1300:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText,l=t("../bar/constants").TEXTPAD,c=t("../../components/colorscale"),u=c.hasColorscale,h=c.handleDefaults;e.exports=function(t,e,r,c){function f(r,a){return n.coerce(t,e,i,r,a)}var p=f("labels"),d=f("parents");if(p&&p.length&&d&&d.length){var g=f("values");g&&g.length?f("branchvalues"):f("count"),f("level"),f("maxdepth"),"squarify"===f("tiling.packing")&&f("tiling.squarifyratio"),f("tiling.flip"),f("tiling.pad");var m=f("text");f("texttemplate"),e.texttemplate||f("textinfo",Array.isArray(m)?"text+label":"label"),f("hovertext"),f("hovertemplate");var v=f("pathbar.visible");s(t,e,c,f,"auto",{hasPathbar:v,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),f("textposition");var y=-1!==e.textposition.indexOf("bottom");f("marker.line.width")&&f("marker.line.color",c.paper_bgcolor);var x=f("marker.colors"),b=e._hasColorscale=u(t,"marker","colors")||(t.marker||{}).coloraxis;b?h(t,e,c,f,{prefix:"marker.",cLetter:"c"}):f("marker.depthfade",!(x||[]).length);var _=2*e.textfont.size;f("marker.pad.t",y?_/4:_),f("marker.pad.l",_/4),f("marker.pad.r",_/4),f("marker.pad.b",y?_:_/4),b&&h(t,e,c,f,{prefix:"marker.",cLetter:"c"}),e._hovered={marker:{line:{width:2,color:a.contrast(c.paper_bgcolor)}}},v&&(f("pathbar.thickness",e.pathbar.textfont.size+2*l),f("pathbar.side"),f("pathbar.edgeshape")),f("sort"),o(e,c,f),e._length=null}else e.visible=!1}},{"../../components/color":615,"../../components/colorscale":627,"../../lib":750,"../../plots/domain":826,"../bar/constants":894,"../bar/defaults":896,"./attributes":1296}],1301:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),h=t("../sunburst/fx");e.exports=function(t,e,r,f,p){var d=p.barDifY,g=p.width,m=p.height,v=p.viewX,y=p.viewY,x=p.pathSlice,b=p.toMoveInsideSlice,_=p.strTransform,w=p.hasTransition,T=p.handleSlicesExit,k=p.makeUpdateSliceInterpolator,M=p.makeUpdateTextInterpolator,A={},S=t._fullLayout,E=e[0],C=E.trace,L=E.hierarchy,P=g/C._entryDepth,I=u.listPath(r.data,"id"),z=s(L.copy(),[g,m],{packing:"dice",pad:{inner:0,top:0,left:0,right:0,bottom:0}}).descendants();(z=z.filter((function(t){var e=I.indexOf(t.data.id);return-1!==e&&(t.x0=P*e,t.x1=P*(e+1),t.y0=d,t.y1=d+m,t.onPathbar=!0,!0)}))).reverse(),(f=f.data(z,u.getPtId)).enter().append("g").classed("pathbar",!0),T(f,!0,A,[g,m],x),f.order();var O=f;w&&(O=O.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:!1})}))),O.each((function(s){s._hoverX=v(s.x1-Math.min(g,m)/2),s._hoverY=y(s.y1-m/2);var f=n.select(this),p=i.ensureSingle(f,"path","surface",(function(t){t.style("pointer-events","all")}));w?p.transition().attrTween("d",(function(t){var e=k(t,!0,A,[g,m]);return function(t){return x(e(t))}})):p.attr("d",x),f.call(h,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,C,{hovered:!1}),s._text=(u.getPtLabel(s)||"").split("<br>").join(" ")||"";var d=i.ensureSingle(f,"g","slicetext"),T=i.ensureSingle(d,"text","",(function(t){t.attr("data-notex",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||" ").classed("slicetext",!0).attr("text-anchor","start").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween("transform",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr("transform",_(s))}))}},{"../../components/drawing":637,"../../lib":750,"../../lib/svg_text_utils":774,"../sunburst/fx":1275,"../sunburst/helpers":1276,"./constants":1299,"./partition":1306,"./style":1308,d3:169}],1302:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),h=t("../sunburst/fx"),f=t("../sunburst/plot").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,C=-1!==E.textposition.indexOf("left"),L=-1!==E.textposition.indexOf("right"),P=-1!==E.textposition.indexOf("bottom"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,z=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf("x")>-1,flipY:E.tiling.flip.indexOf("y")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),O=1/0,D=-1/0;z.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),D=Math.max(D,e))})),p=p.data(z,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-O+1:0,p.enter().append("g").classed("slice",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&A){var F=u.getPtId(A);p.each((function(t){null===R&&u.getPtId(t)===F&&(R={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})}))}var B=function(){return R||{x0:0,x1:g,y0:0,y1:m}},N=p;return w&&(N=N.transition().each("end",(function(){var e=n.select(this);u.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!1,isTransitioning:!1})}))),N.each((function(s){var p=u.isHeader(s,E);s._hoverX=v(s.x1-E.marker.pad.r),s._hoverY=y(P?s.y1-E.marker.pad.b/2:s.y0+E.marker.pad.t/2);var d=n.select(this),T=i.ensureSingle(d,"path","surface",(function(t){t.style("pointer-events","all")}));w?T.transition().attrTween("d",(function(t){var e=k(t,!1,B(),[g,m]);return function(t){return x(e(t))}})):T.attr("d",x),d.call(h,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{isTransitioning:t._transitioning}),T.call(l,s,E,{hovered:!1}),s.x0===s.x1||s.y0===s.y1?s._text="":s._text=p?I?"":u.getPtLabel(s)||"":f(s,r,E,e,S)||"";var A=i.ensureSingle(d,"g","slicetext"),z=i.ensureSingle(A,"text","",(function(t){t.attr("data-notex",1)})),O=i.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));z.text(s._text||" ").classed("slicetext",!0).attr("text-anchor",L?"end":C||p?"start":"middle").call(a.font,O).call(o.convertToTspans,t),s.textBB=a.bBox(z.node()),s.transform=b(s,{fontSize:O.size,isHeader:p}),s.transform.fontSize=O.size,w?z.transition().attrTween("transform",(function(t){var e=M(t,!1,B(),[g,m]);return function(t){return _(e(t))}})):z.attr("transform",_(s))})),R}},{"../../components/drawing":637,"../../lib":750,"../../lib/svg_text_utils":774,"../sunburst/fx":1275,"../sunburst/helpers":1276,"../sunburst/plot":1280,"./constants":1299,"./partition":1306,"./style":1308,d3:169}],1303:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"treemap",basePlotModule:t("./base_plot"),categories:[],animatable:!0,attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot"),style:t("./style").style,colorbar:t("../scatter/marker_colorbar"),meta:{}}},{"../scatter/marker_colorbar":1176,"./attributes":1296,"./base_plot":1297,"./calc":1298,"./defaults":1300,"./layout_attributes":1304,"./layout_defaults":1305,"./plot":1307,"./style":1308}],1304:[function(t,e,r){"use strict";e.exports={treemapcolorway:{valType:"colorlist",editType:"calc"},extendtreemapcolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1305:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("treemapcolorway",e.colorway),r("extendtreemapcolors")}},{"../../lib":750,"./layout_attributes":1304}],1306:[function(t,e,r){"use strict";var n=t("d3-hierarchy");e.exports=function(t,e,r){var i,a=r.flipX,o=r.flipY,s="dice-slice"===r.packing,l=r.pad[o?"bottom":"top"],c=r.pad[a?"right":"left"],u=r.pad[a?"left":"right"],h=r.pad[o?"top":"bottom"];s&&(i=c,c=l,l=i,i=u,u=h,h=i);var f=n.treemap().tile(function(t,e){switch(t){case"squarify":return n.treemapSquarify.ratio(e);case"binary":return n.treemapBinary;case"dice":return n.treemapDice;case"slice":return n.treemapSlice;default:return n.treemapSliceDice}}(r.packing,r.squarifyratio)).paddingInner(r.pad.inner).paddingLeft(c).paddingRight(u).paddingTop(l).paddingBottom(h).size(s?[e[1],e[0]]:e)(t);return(s||a||o)&&function t(e,r,n){var i;n.swapXY&&(i=e.x0,e.x0=e.y0,e.y0=i,i=e.x1,e.x1=e.y1,e.y1=i);n.flipX&&(i=e.x0,e.x0=r[0]-e.x1,e.x1=r[0]-i);n.flipY&&(i=e.y0,e.y0=r[1]-e.y1,e.y1=r[1]-i);var a=e.children;if(a)for(var o=0;o<a.length;o++)t(a[o],r,n)}(f,e,{swapXY:s,flipX:a,flipY:o}),f}},{"d3-hierarchy":161}],1307:[function(t,e,r){"use strict";var n=t("d3"),i=t("../sunburst/helpers"),a=t("../../lib"),o=t("../bar/constants").TEXTPAD,s=t("../bar/plot").toMoveInsideBar,l=t("../bar/uniform_text"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t("../bar/style").resizeText,f=t("./constants"),p=t("./draw_descendants"),d=t("./draw_ancestors");function g(t){return i.isHierarchyRoot(t)?"":i.getPtId(t)}function m(t,e,r,l){var u=t._fullLayout,h=e[0],m=h.trace,v=h.hierarchy,y=i.findEntryWithLevel(v,m.level),x=n.select(r),b=x.selectAll("g.pathbar"),_=x.selectAll("g.slice");if(!y)return b.remove(),void _.remove();var w=i.isHierarchyRoot(y),T=!u.uniformtext.mode&&i.hasTransition(l),k=i.getMaxDepth(m),M=u._size,A=m.domain,S=M.w*(A.x[1]-A.x[0]),E=M.h*(A.y[1]-A.y[0]),C=S,L=m.pathbar.thickness,P=m.marker.line.width+f.gapWithPathbar,I=m.pathbar.visible?m.pathbar.side.indexOf("bottom")>-1?E+P:-(L+P):0,z={x0:C,x1:C,y0:I,y1:I+L},O=function(t,e,r){var n=m.tiling.pad,i=function(t){return t-n<=e.x0},a=function(t){return t+n>=e.x1},o=function(t){return t-n<=e.y0},s=function(t){return t+n>=e.y1};return{x0:i(t.x0-n)?0:a(t.x0-n)?r[0]:t.x0,x1:i(t.x1+n)?0:a(t.x1+n)?r[0]:t.x1,y0:o(t.y0-n)?0:s(t.y0-n)?r[1]:t.y0,y1:o(t.y1+n)?0:s(t.y1+n)?r[1]:t.y1}},D=null,R={},F={},B=null,N=function(t,e){return e?R[g(t)]:F[g(t)]},j=function(t,e,r,n){if(e)return R[g(v)]||z;var i=F[m.level]||r;return function(t){return t.data.depth-y.data.depth<k}(t)?O(t,i,n):{}};h.hasMultipleRoots&&w&&k++,m._maxDepth=k,m._backgroundColor=u.paper_bgcolor,m._entryDepth=y.data.depth,m._atRootLevel=w;var U=-S/2+M.l+M.w*(A.x[1]+A.x[0])/2,V=-E/2+M.t+M.h*(1-(A.y[1]+A.y[0])/2),q=function(t){return U+t},H=function(t){return V+t},G=H(0),Y=q(0),W=function(t){return Y+t},Z=function(t){return G+t};function X(t,e){return t+","+e}var J=W(0),K=function(t){t.x=Math.max(J,t.x)},Q=m.pathbar.edgeshape,$=function(t,e){var r=t.x0,n=t.x1,i=t.y0,a=t.y1,l=t.textBB,h=function(t){return-1!==m.textposition.indexOf(t)},f=h("bottom"),p=h("top")||e.isHeader&&!f?"start":f?"end":"middle",d=h("right"),g=h("left")||e.onPathbar?-1:d?1:0,v=m.marker.pad;if(e.isHeader){if((r+=v.l-o)>=(n-=v.r-o)){var y=(r+n)/2;r=y,n=y}var x;f?i<(x=a-v.b)&&x<a&&(i=x):i<(x=i+v.t)&&x<a&&(a=x)}var b=s(r,n,i,a,l,{isHorizontal:!1,constrained:!0,angle:0,anchor:p,leftToRight:g});return b.fontSize=e.fontSize,b.targetX=q(b.targetX),b.targetY=H(b.targetY),isNaN(b.targetX)||isNaN(b.targetY)?{}:(r!==n&&i!==a&&c(m.type,b,u),{scale:b.scale,rotate:b.rotate,textX:b.textX,textY:b.textY,anchorX:b.anchorX,anchorY:b.anchorY,targetX:b.targetX,targetY:b.targetY})},tt=function(t,e){for(var r,n=0,i=t;!r&&n<k;)n++,(i=i.parent)?r=N(i,e):n=k;return r||{}},et=function(t,e,r,i){var o,s=N(t,e);if(s)o=s;else if(e)o=z;else if(D)if(t.parent){var l=B||r;l&&!e?o=O(t,l,i):(o={},a.extendFlat(o,tt(t,e)))}else o=t;else o={};return n.interpolate(o,{x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1})},rt=function(t,e,r,o){var s=N(t,e),l={},h=j(t,e,r,o);a.extendFlat(l,{transform:$({x0:h.x0,x1:h.x1,y0:h.y0,y1:h.y1,textBB:t.textBB,_text:t._text},{isHeader:i.isHeader(t,m)})}),s?l=s:t.parent&&a.extendFlat(l,tt(t,e));var f=t.transform;return t.x0!==t.x1&&t.y0!==t.y1&&c(m.type,f,u),n.interpolate(l,{transform:{scale:f.scale,rotate:f.rotate,textX:f.textX,textY:f.textY,anchorX:f.anchorX,anchorY:f.anchorY,targetX:f.targetX,targetY:f.targetY}})},nt=function(t,e,r,i,a){var o=i[0],s=i[1];T?t.exit().transition().each((function(){var t=n.select(this);t.select("path.surface").transition().attrTween("d",(function(t){var r=function(t,e,r,i){var a,o=N(t,e);if(e)a=z;else{var s=N(y,e);a=s?O(t,s,i):{}}return n.interpolate(o,a)}(t,e,0,[o,s]);return function(t){return a(r(t))}})),t.select("g.slicetext").attr("opacity",0)})).remove():t.exit().remove()},it=function(t){var e=t.transform;return t.x0!==t.x1&&t.y0!==t.y1&&c(m.type,e,u),a.getTextTransform({textX:e.textX,textY:e.textY,anchorX:e.anchorX,anchorY:e.anchorY,targetX:e.targetX,targetY:e.targetY,scale:e.scale,rotate:e.rotate})};T&&(b.each((function(t){R[g(t)]={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1},t.transform&&(R[g(t)].transform={textX:t.transform.textX,textY:t.transform.textY,anchorX:t.transform.anchorX,anchorY:t.transform.anchorY,targetX:t.transform.targetX,targetY:t.transform.targetY,scale:t.transform.scale,rotate:t.transform.rotate})})),_.each((function(t){F[g(t)]={x0:t.x0,x1:t.x1,y0:t.y0,y1:t.y1},t.transform&&(F[g(t)].transform={textX:t.transform.textX,textY:t.transform.textY,anchorX:t.transform.anchorX,anchorY:t.transform.anchorY,targetX:t.transform.targetX,targetY:t.transform.targetY,scale:t.transform.scale,rotate:t.transform.rotate}),!D&&i.isEntry(t)&&(D=t)}))),B=p(t,e,y,_,{width:S,height:E,viewX:q,viewY:H,pathSlice:function(t){var e=q(t.x0),r=q(t.x1),n=H(t.y0),i=H(t.y1),a=r-e,o=i-n;if(!a||!o)return"";return"M"+X(e,n+0)+"L"+X(r-0,n)+"L"+X(r,i-0)+"L"+X(e+0,i)+"Z"},toMoveInsideSlice:$,prevEntry:D,makeUpdateSliceInterpolator:et,makeUpdateTextInterpolator:rt,handleSlicesExit:nt,hasTransition:T,strTransform:it}),m.pathbar.visible?d(t,e,y,b,{barDifY:I,width:C,height:L,viewX:W,viewY:Z,pathSlice:function(t){var e=W(Math.max(Math.min(t.x0,t.x0),0)),r=W(Math.min(Math.max(t.x1,t.x1),C)),n=Z(t.y0),i=Z(t.y1),a=L/2,o={},s={};o.x=e,s.x=r,o.y=s.y=(n+i)/2;var l={x:e,y:n},c={x:r,y:n},u={x:r,y:i},h={x:e,y:i};return">"===Q?(l.x-=a,c.x-=a,u.x-=a,h.x-=a):"/"===Q?(u.x-=a,h.x-=a,o.x-=a/2,s.x-=a/2):"\\"===Q?(l.x-=a,c.x-=a,o.x-=a/2,s.x-=a/2):"<"===Q&&(o.x-=a,s.x-=a),K(l),K(h),K(o),K(c),K(u),K(s),"M"+X(l.x,l.y)+"L"+X(c.x,c.y)+"L"+X(s.x,s.y)+"L"+X(u.x,u.y)+"L"+X(h.x,h.y)+"L"+X(o.x,o.y)+"Z"},toMoveInsideSlice:$,makeUpdateSliceInterpolator:et,makeUpdateTextInterpolator:rt,handleSlicesExit:nt,hasTransition:T,strTransform:it}):b.remove()}e.exports=function(t,e,r,a){var o,s,l=t._fullLayout,c=l._treemaplayer,f=!r;(u("treemap",l),(o=c.selectAll("g.trace.treemap").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("treemap",!0),o.order(),!l.uniformtext.mode&&i.hasTransition(r))?(a&&(s=a()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){s&&s()})).each("interrupt",(function(){s&&s()})).each((function(){c.selectAll("g.trace").each((function(e){m(t,e,this,r)}))}))):(o.each((function(e){m(t,e,this,r)})),l.uniformtext.mode&&h(t,l._treemaplayer.selectAll(".trace"),"treemap"));f&&o.exit().remove()}},{"../../lib":750,"../bar/constants":894,"../bar/plot":903,"../bar/style":906,"../bar/uniform_text":908,"../sunburst/helpers":1276,"./constants":1299,"./draw_ancestors":1301,"./draw_descendants":1302,d3:169}],1308:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../sunburst/helpers"),s=t("../bar/uniform_text").resizeText;function l(t,e,r,n){var s,l,c=(n||{}).hovered,u=e.data.data,h=u.i,f=u.color,p=o.isHierarchyRoot(e),d=1;if(c)s=r._hovered.marker.line.color,l=r._hovered.marker.line.width;else if(p&&"rgba(0,0,0,0)"===f)d=0,s="rgba(0,0,0,0)",l=0;else if(s=a.castOption(r,h,"marker.line.color")||i.defaultLine,l=a.castOption(r,h,"marker.line.width")||0,!r._hasColorscale&&!e.onPathbar){var g=r.marker.depthfade;if(g){var m,v=i.combine(i.addOpacity(r._backgroundColor,.75),f);if(!0===g){var y=o.getMaxDepth(r);m=isFinite(y)?o.isLeaf(e)?0:r._maxVisibleLayers-(e.data.depth-r._entryDepth):e.data.height+1}else m=e.data.depth-r._entryDepth,r._atRootLevel||m++;if(m>0)for(var x=0;x<m;x++){var b=.5*x/m;f=i.combine(i.addOpacity(v,b),f)}}}t.style("stroke-width",l).call(i.fill,f).call(i.stroke,s).style("opacity",d)}e.exports={style:function(t){var e=t._fullLayout._treemaplayer.selectAll(".trace");s(t,e,"treemap"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(l,t,r,{hovered:!1})}))}))},styleOne:l}},{"../../components/color":615,"../../lib":750,"../bar/uniform_text":908,"../sunburst/helpers":1276,d3:169}],1309:[function(t,e,r){"use strict";var n=t("../box/attributes"),i=t("../../lib/extend").extendFlat;e.exports={y:n.y,x:n.x,x0:n.x0,y0:n.y0,name:i({},n.name,{}),orientation:i({},n.orientation,{}),bandwidth:{valType:"number",min:0,editType:"calc"},scalegroup:{valType:"string",dflt:"",editType:"calc"},scalemode:{valType:"enumerated",values:["width","count"],dflt:"width",editType:"calc"},spanmode:{valType:"enumerated",values:["soft","hard","manual"],dflt:"soft",editType:"calc"},span:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,points:i({},n.boxpoints,{}),jitter:i({},n.jitter,{}),pointpos:i({},n.pointpos,{}),width:i({},n.width,{}),marker:n.marker,text:n.text,hovertext:n.hovertext,hovertemplate:n.hovertemplate,box:{visible:{valType:"boolean",dflt:!1,editType:"plot"},width:{valType:"number",min:0,max:1,dflt:.25,editType:"plot"},fillcolor:{valType:"color",editType:"style"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"style"},editType:"plot"},meanline:{visible:{valType:"boolean",dflt:!1,editType:"plot"},color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"plot"},side:{valType:"enumerated",values:["both","positive","negative"],dflt:"both",editType:"calc"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,hoveron:{valType:"flaglist",flags:["violins","points","kde"],dflt:"violins+points+kde",extras:["all"],editType:"style"}}},{"../../lib/extend":740,"../box/attributes":917}],1310:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../box/calc"),o=t("./helpers"),s=t("../../constants/numerical").BADNUM;function l(t,e,r){var i=e.max-e.min;if(!i)return t.bandwidth?t.bandwidth:0;if(t.bandwidth)return Math.max(t.bandwidth,i/1e4);var a=r.length,o=n.stdev(r,a-1,e.mean);return Math.max(function(t,e,r){return 1.059*Math.min(e,r/1.349)*Math.pow(t,-.2)}(a,o,e.q3-e.q1),i/100)}function c(t,e,r,n){var a,o=t.spanmode,l=t.span||[],c=[e.min,e.max],u=[e.min-2*n,e.max+2*n];function h(n){var i=l[n],a="multicategory"===r.type?r.r2c(i):r.d2c(i,0,t[e.valLetter+"calendar"]);return a===s?u[n]:a}var f={type:"linear",range:a="soft"===o?u:"hard"===o?c:[h(0),h(1)]};return i.setConvert(f),f.cleanRange(),a}e.exports=function(t,e){var r=a(t,e);if(r[0].t.empty)return r;for(var s=t._fullLayout,u=i.getFromId(t,e["h"===e.orientation?"xaxis":"yaxis"]),h=1/0,f=-1/0,p=0,d=0,g=0;g<r.length;g++){var m=r[g],v=m.pts.map(o.extractVal),y=m.bandwidth=l(e,m,v),x=m.span=c(e,m,u,y);if(m.min===m.max&&0===y)x=m.span=[m.min,m.max],m.density=[{v:1,t:x[0]}],m.bandwidth=y,p=Math.max(p,1);else{var b=x[1]-x[0],_=Math.ceil(b/(y/3)),w=b/_;if(!isFinite(w)||!isFinite(_))return n.error("Something went wrong with computing the violin span"),r[0].t.empty=!0,r;var T=o.makeKDE(m,e,v);m.density=new Array(_);for(var k=0,M=x[0];M<x[1]+w/2;k++,M+=w){var A=T(M);m.density[k]={v:A,t:M},p=Math.max(p,A)}}d=Math.max(d,v.length),h=Math.min(h,x[0]),f=Math.max(f,x[1])}var S=i.findExtremes(u,[h,f],{padded:!0});if(e._extremes[u._id]=S,e.width)r[0].t.maxKDE=p;else{var E=s._violinScaleGroupStats,C=e.scalegroup,L=E[C];L?(L.maxKDE=Math.max(L.maxKDE,p),L.maxCount=Math.max(L.maxCount,d)):E[C]={maxKDE:p,maxCount:d}}return r[0].t.labels.kde=n._(t,"kde:"),r}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/axes":799,"../box/calc":918,"./helpers":1313}],1311:[function(t,e,r){"use strict";var n=t("../box/cross_trace_calc").setPositionOffset,i=["v","h"];e.exports=function(t,e){for(var r=t.calcdata,a=e.xaxis,o=e.yaxis,s=0;s<i.length;s++){for(var l=i[s],c="h"===l?o:a,u=[],h=0;h<r.length;h++){var f=r[h],p=f[0].t,d=f[0].trace;!0!==d.visible||"violin"!==d.type||p.empty||d.orientation!==l||d.xaxis!==a._id||d.yaxis!==o._id||u.push(h)}n("violin",t,u,c)}}},{"../box/cross_trace_calc":919}],1312:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../box/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}function c(r,i){return n.coerce2(t,e,o,r,i)}if(a.handleSampleDefaults(t,e,l,s),!1!==e.visible){l("bandwidth"),l("side"),l("width")||(l("scalegroup",e.name),l("scalemode"));var u,h=l("span");Array.isArray(h)&&(u="manual"),l("spanmode",u);var f=l("line.color",(t.marker||{}).color||r),p=l("line.width"),d=l("fillcolor",i.addOpacity(e.line.color,.5));a.handlePointsDefaults(t,e,l,{prefix:""});var g=c("box.width"),m=c("box.fillcolor",d),v=c("box.line.color",f),y=c("box.line.width",p);l("box.visible",Boolean(g||m||v||y))||(e.box={visible:!1});var x=c("meanline.color",f),b=c("meanline.width",p);l("meanline.visible",Boolean(x||b))||(e.meanline={visible:!1})}}},{"../../components/color":615,"../../lib":750,"../box/defaults":920,"./attributes":1309}],1313:[function(t,e,r){"use strict";var n=t("../../lib"),i=function(t){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*t*t)};r.makeKDE=function(t,e,r){var n=r.length,a=i,o=t.bandwidth,s=1/(n*o);return function(t){for(var e=0,i=0;i<n;i++)e+=a((t-r[i])/o);return s*e}},r.getPositionOnKdePath=function(t,e,r){var i,a;"h"===e.orientation?(i="y",a="x"):(i="x",a="y");var o=n.findPointOnPath(t.path,r,a,{pathLength:t.pathLength}),s=t.posCenterPx,l=o[i];return[l,"both"===e.side?2*s-l:s]},r.getKdeValue=function(t,e,n){var i=t.pts.map(r.extractVal);return r.makeKDE(t,e,i)(n)/t.posDensityScale},r.extractVal=function(t){return t.v}},{"../../lib":750}],1314:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../box/hover"),o=t("./helpers");e.exports=function(t,e,r,s,l){var c,u,h=t.cd,f=h[0].trace,p=f.hoveron,d=-1!==p.indexOf("violins"),g=-1!==p.indexOf("kde"),m=[];if(d||g){var v=a.hoverOnBoxes(t,e,r,s);if(g&&v.length>0){var y,x,b,_,w,T=t.xa,k=t.ya;"h"===f.orientation?(w=e,y="y",b=k,x="x",_=T):(w=r,y="x",b=T,x="y",_=k);var M=h[t.index];if(w>=M.span[0]&&w<=M.span[1]){var A=n.extendFlat({},t),S=_.c2p(w,!0),E=o.getKdeValue(M,f,w),C=o.getPositionOnKdePath(M,f,S),L=b._offset,P=b._length;A[y+"0"]=C[0],A[y+"1"]=C[1],A[x+"0"]=A[x+"1"]=S,A[x+"Label"]=x+": "+i.hoverLabelText(_,w)+", "+h[0].t.labels.kde+" "+E.toFixed(3),A.spikeDistance=v[0].spikeDistance;var I=y+"Spike";A[I]=v[0][I],v[0].spikeDistance=void 0,v[0][I]=void 0,A.hovertemplate=!1,m.push(A),(u={stroke:t.color})[y+"1"]=n.constrain(L+C[0],L,L+P),u[y+"2"]=n.constrain(L+C[1],L,L+P),u[x+"1"]=u[x+"2"]=_._offset+S}}d&&(m=m.concat(v))}-1!==p.indexOf("points")&&(c=a.hoverOnPoints(t,e,r));var z=l.selectAll(".violinline-"+f.uid).data(u?[0]:[]);return z.enter().append("line").classed("violinline-"+f.uid,!0).attr("stroke-width",1.5),z.exit().remove(),z.attr(u),"closest"===s?c?[c]:m:c?(m.push(c),m):m}},{"../../lib":750,"../../plots/cartesian/axes":799,"../box/hover":922,"./helpers":1313}],1315:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../box/defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style"),styleOnSelect:t("../scatter/style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("../box/select"),moduleType:"trace",name:"violin",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","oriented","box-violin","showLegend","violinLayout","zoomScale"],meta:{}}},{"../../plots/cartesian":812,"../box/defaults":920,"../box/select":927,"../scatter/style":1182,"./attributes":1309,"./calc":1310,"./cross_trace_calc":1311,"./defaults":1312,"./hover":1314,"./layout_attributes":1316,"./layout_defaults":1317,"./plot":1318,"./style":1319}],1316:[function(t,e,r){"use strict";var n=t("../box/layout_attributes"),i=t("../../lib").extendFlat;e.exports={violinmode:i({},n.boxmode,{}),violingap:i({},n.boxgap,{}),violingroupgap:i({},n.boxgroupgap,{})}},{"../../lib":750,"../box/layout_attributes":924}],1317:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes"),a=t("../box/layout_defaults");e.exports=function(t,e,r){a._supply(t,e,r,(function(r,a){return n.coerce(t,e,i,r,a)}),"violin")}},{"../../lib":750,"../box/layout_defaults":925,"./layout_attributes":1316}],1318:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../box/plot"),s=t("../scatter/line_points"),l=t("./helpers");e.exports=function(t,e,r,c){var u=t._fullLayout,h=e.xaxis,f=e.yaxis;function p(t){var e=s(t,{xaxis:h,yaxis:f,connectGaps:!0,baseTolerance:.75,shape:"spline",simplify:!0,linearized:!0});return a.smoothopen(e[0],1)}i.makeTraceGroups(c,r,"trace violins").each((function(t){var r=n.select(this),a=t[0],s=a.t,c=a.trace;if(!0!==c.visible||s.empty)r.remove();else{var d=s.bPos,g=s.bdPos,m=e[s.valLetter+"axis"],v=e[s.posLetter+"axis"],y="both"===c.side,x=y||"positive"===c.side,b=y||"negative"===c.side,_=r.selectAll("path.violin").data(i.identity);_.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","violin"),_.exit().remove(),_.each((function(t){var e,r,i,a,o,l,h,f,_=n.select(this),w=t.density,T=w.length,k=v.c2l(t.pos+d,!0),M=v.l2p(k);if(c.width)e=s.maxKDE/g;else{var A=u._violinScaleGroupStats[c.scalegroup];e="count"===c.scalemode?A.maxKDE/g*(A.maxCount/t.pts.length):A.maxKDE/g}if(x){for(h=new Array(T),o=0;o<T;o++)(f=h[o]={})[s.posLetter]=k+w[o].v/e,f[s.valLetter]=m.c2l(w[o].t,!0);r=p(h)}if(b){for(h=new Array(T),l=0,o=T-1;l<T;l++,o--)(f=h[l]={})[s.posLetter]=k-w[o].v/e,f[s.valLetter]=m.c2l(w[o].t,!0);i=p(h)}if(y)a=r+"L"+i.substr(1)+"Z";else{var S=[M,m.c2p(w[0].t)],E=[M,m.c2p(w[T-1].t)];"h"===c.orientation&&(S.reverse(),E.reverse()),a=x?"M"+S+"L"+r.substr(1)+"L"+E:"M"+E+"L"+i.substr(1)+"L"+S}_.attr("d",a),t.posCenterPx=M,t.posDensityScale=e*g,t.path=_.node(),t.pathLength=t.path.getTotalLength()/(y?2:1)}));var w,T,k,M=c.box,A=M.width,S=(M.line||{}).width;y?(w=g*A,T=0):x?(w=[0,g*A/2],T=S*{x:1,y:-1}[s.posLetter]):(w=[g*A/2,0],T=S*{x:-1,y:1}[s.posLetter]),o.plotBoxAndWhiskers(r,{pos:v,val:m},c,{bPos:d,bdPos:w,bPosPxOffset:T}),o.plotBoxMean(r,{pos:v,val:m},c,{bPos:d,bdPos:w,bPosPxOffset:T}),!c.box.visible&&c.meanline.visible&&(k=i.identity);var E=r.selectAll("path.meanline").data(k||[]);E.enter().append("path").attr("class","meanline").style("fill","none").style("vector-effect","non-scaling-stroke"),E.exit().remove(),E.each((function(t){var e=m.c2p(t.mean,!0),r=l.getPositionOnKdePath(t,c,e);n.select(this).attr("d","h"===c.orientation?"M"+e+","+r[0]+"V"+r[1]:"M"+r[0]+","+e+"H"+r[1])})),o.plotPoints(r,{x:h,y:f},c,s)}}))}},{"../../components/drawing":637,"../../lib":750,"../box/plot":926,"../scatter/line_points":1172,"./helpers":1313,d3:169}],1319:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../scatter/style").stylePoints;e.exports=function(t){var e=n.select(t).selectAll("g.trace.violins");e.style("opacity",(function(t){return t[0].trace.opacity})),e.each((function(e){var r=e[0].trace,o=n.select(this),s=r.box||{},l=s.line||{},c=r.meanline||{},u=c.width;o.selectAll("path.violin").style("stroke-width",r.line.width+"px").call(i.stroke,r.line.color).call(i.fill,r.fillcolor),o.selectAll("path.box").style("stroke-width",l.width+"px").call(i.stroke,l.color).call(i.fill,s.fillcolor);var h={"stroke-width":u+"px","stroke-dasharray":2*u+"px,"+u+"px"};o.selectAll("path.mean").style(h).call(i.stroke,c.color),o.selectAll("path.meanline").style(h).call(i.stroke,c.color),a(o,r,t)}))}},{"../../components/color":615,"../scatter/style":1182,d3:169}],1320:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../isosurface/attributes"),a=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,hovertemplate:i.hovertemplate},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 0},{"../../components/colorscale/attributes":622,"../../lib/extend":740,"../../plot_api/edit_types":781,"../../plots/attributes":795,"../isosurface/attributes":1094,"../surface/attributes":1282}],1321:[function(t,e,r){"use strict";var n=t("gl-mesh3d"),i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=t("../isosurface/convert").findNearestOnAxis,c=t("../isosurface/convert").generateIsoMeshes;function u(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var h=u.prototype;h.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,h=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[h],this.data._meshY[h],this.data._meshZ[h],this.data._value[h]];var f=this.data.hovertext||this.data.text;return Array.isArray(f)&&void 0!==f[h]?t.textLabel=f[h]:f&&(t.textLabel=f),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=c(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,opacityscale:t.opacityscale,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},u=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[u.min,u.max],l.colormap=i(t),this.mesh.update(l)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new u(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{"../../components/colorscale":627,"../../lib/gl_format_color":746,"../../lib/str2rgbarray":773,"../../plots/gl3d/zip3":852,"../isosurface/convert":1096,"gl-mesh3d":292}],1322:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../isosurface/defaults").supplyIsoDefaults,o=t("../surface/defaults").opacityscaleDefaults;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}a(t,e,r,s,l),o(t,e,s,l)}},{"../../lib":750,"../isosurface/defaults":1097,"../surface/defaults":1285,"./attributes":1320}],1323:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../isosurface/calc"),colorbar:{min:"cmin",max:"cmax"},plot:t("./convert"),moduleType:"trace",name:"volume",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],meta:{}}},{"../../plots/gl3d":841,"../isosurface/calc":1095,"./attributes":1320,"./convert":1321,"./defaults":1322}],1324:[function(t,e,r){"use strict";var n=t("../bar/attributes"),i=t("../scatter/attributes").line,a=t("../../plots/attributes"),o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/template_attributes").texttemplateAttrs,l=t("./constants"),c=t("../../lib/extend").extendFlat,u=t("../../components/color");function h(t){return{marker:{color:c({},n.marker.color,{arrayOk:!1,editType:"style"}),line:{color:c({},n.marker.line.color,{arrayOk:!1,editType:"style"}),width:c({},n.marker.line.width,{arrayOk:!1,editType:"style"}),editType:"style"},editType:"style"},editType:"style"}}e.exports={measure:{valType:"data_array",dflt:[],editType:"calc"},base:{valType:"number",dflt:null,arrayOk:!1,editType:"calc"},x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,hovertext:n.hovertext,hovertemplate:o({},{keys:l.eventDataKeys}),hoverinfo:c({},a.hoverinfo,{flags:["name","x","y","text","initial","delta","final"]}),textinfo:{valType:"flaglist",flags:["label","text","initial","delta","final"],extras:["none"],editType:"plot",arrayOk:!1},texttemplate:s({editType:"plot"},{keys:l.eventDataKeys.concat(["label"])}),text:n.text,textposition:n.textposition,insidetextanchor:n.insidetextanchor,textangle:n.textangle,textfont:n.textfont,insidetextfont:n.insidetextfont,outsidetextfont:n.outsidetextfont,constraintext:n.constraintext,cliponaxis:n.cliponaxis,orientation:n.orientation,offset:n.offset,width:n.width,increasing:h(),decreasing:h(),totals:h(),connector:{line:{color:c({},i.color,{dflt:u.defaultLine}),width:c({},i.width,{editType:"plot"}),dash:i.dash,editType:"plot"},mode:{valType:"enumerated",values:["spanning","between"],dflt:"between",editType:"plot"},visible:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup}},{"../../components/color":615,"../../lib/extend":740,"../../plots/attributes":795,"../../plots/template_attributes":877,"../bar/attributes":892,"../scatter/attributes":1158,"./constants":1326}],1325:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("../../plots/cartesian/align_period"),a=t("../../lib").mergeArray,o=t("../scatter/calc_selection"),s=t("../../constants/numerical").BADNUM;function l(t){return"a"===t||"absolute"===t}function c(t){return"t"===t||"total"===t}e.exports=function(t,e){var r,u,h,f,p=n.getFromId(t,e.xaxis||"x"),d=n.getFromId(t,e.yaxis||"y");"h"===e.orientation?(r=p.makeCalcdata(e,"x"),h=d.makeCalcdata(e,"y"),u=i(e,d,"y",h),f=!!e.yperiodalignment):(r=d.makeCalcdata(e,"y"),h=p.makeCalcdata(e,"x"),u=i(e,p,"x",h),f=!!e.xperiodalignment);for(var g,m=Math.min(u.length,r.length),v=new Array(m),y=0,x=!1,b=0;b<m;b++){var _=r[b]||0,w=!1;(r[b]!==s||c(e.measure[b])||l(e.measure[b]))&&b+1<m&&(r[b+1]!==s||c(e.measure[b+1])||l(e.measure[b+1]))&&(w=!0);var T=v[b]={i:b,p:u[b],s:_,rawS:_,cNext:w};l(e.measure[b])?(y=T.s,T.isSum=!0,T.dir="totals",T.s=y):c(e.measure[b])?(T.isSum=!0,T.dir="totals",T.s=y):(T.isSum=!1,T.dir=T.rawS<0?"decreasing":"increasing",g=T.s,T.s=y+g,y+=g),"totals"===T.dir&&(x=!0),f&&(v[b].orig_p=h[b]),e.ids&&(T.id=String(e.ids[b])),T.v=(e.base||0)+y}return v.length&&(v[0].hasTotals=x),a(e.text,v,"tx"),a(e.hovertext,v,"htx"),o(v,e),v}},{"../../constants/numerical":725,"../../lib":750,"../../plots/cartesian/align_period":796,"../../plots/cartesian/axes":799,"../scatter/calc_selection":1160}],1326:[function(t,e,r){"use strict";e.exports={eventDataKeys:["initial","delta","final"]}},{}],1327:[function(t,e,r){"use strict";var n=t("../bar/cross_trace_calc").setGroupPositions;e.exports=function(t,e){var r,i,a=t._fullLayout,o=t._fullData,s=t.calcdata,l=e.xaxis,c=e.yaxis,u=[],h=[],f=[];for(i=0;i<o.length;i++){var p=o[i];!0===p.visible&&p.xaxis===l._id&&p.yaxis===c._id&&"waterfall"===p.type&&(r=s[i],"h"===p.orientation?f.push(r):h.push(r),u.push(r))}var d={mode:a.waterfallmode,norm:a.waterfallnorm,gap:a.waterfallgap,groupgap:a.waterfallgroupgap};for(n(t,l,c,h,d),n(t,c,l,f,d),i=0;i<u.length;i++){r=u[i];for(var g=0;g<r.length;g++){var m=r[g];!1===m.isSum&&(m.s0+=0===g?0:r[g-1].s),g+1<r.length&&(r[g].nextP0=r[g+1].p0,r[g].nextS0=r[g+1].s0)}}}},{"../bar/cross_trace_calc":895}],1328:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../bar/defaults").handleGroupingDefaults,a=t("../bar/defaults").handleText,o=t("../scatter/xy_defaults"),s=t("../scatter/period_defaults"),l=t("./attributes"),c=t("../../components/color"),u=t("../../constants/delta.js"),h=u.INCREASING.COLOR,f=u.DECREASING.COLOR;function p(t,e,r){t(e+".marker.color",r),t(e+".marker.line.color",c.defaultLine),t(e+".marker.line.width")}e.exports={supplyDefaults:function(t,e,r,i){function c(r,i){return n.coerce(t,e,l,r,i)}if(o(t,e,i,c)){s(t,e,i,c),c("measure"),c("orientation",e.x&&!e.y?"h":"v"),c("base"),c("offset"),c("width"),c("text"),c("hovertext"),c("hovertemplate");var u=c("textposition");if(a(t,e,i,c,u,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!0,moduleHasCliponaxis:!0,moduleHasTextangle:!0,moduleHasInsideanchor:!0}),"none"!==e.textposition&&(c("texttemplate"),e.texttemplate||c("textinfo")),p(c,"increasing",h),p(c,"decreasing",f),p(c,"totals","#4499FF"),c("connector.visible"))c("connector.mode"),c("connector.line.width")&&(c("connector.line.color"),c("connector.line.dash"))}else e.visible=!1},crossTraceDefaults:function(t,e){var r,a;function o(t){return n.coerce(a._input,a,l,t)}if("group"===e.waterfallmode)for(var s=0;s<t.length;s++)r=(a=t[s])._input,i(r,a,e,o)}}},{"../../components/color":615,"../../constants/delta.js":719,"../../lib":750,"../bar/defaults":896,"../scatter/period_defaults":1178,"../scatter/xy_defaults":1185,"./attributes":1324}],1329:[function(t,e,r){"use strict";e.exports=function(t,e){return t.x="xVal"in e?e.xVal:e.x,t.y="yVal"in e?e.yVal:e.y,"initial"in e&&(t.initial=e.initial),"delta"in e&&(t.delta=e.delta),"final"in e&&(t.final=e.final),e.xa&&(t.xaxis=e.xa),e.ya&&(t.yaxis=e.ya),t}},{}],1330:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes").hoverLabelText,i=t("../../components/color").opacity,a=t("../bar/hover").hoverOnBars,o=t("../../constants/delta.js"),s=o.INCREASING.SYMBOL,l=o.DECREASING.SYMBOL;e.exports=function(t,e,r,o){var c=a(t,e,r,o);if(c){var u=c.cd,h=u[0].trace,f="h"===h.orientation,p=f?t.xa:t.ya,d=u[c.index],g=d.isSum?d.b+d.s:d.rawS;if(!d.isSum){c.initial=d.b+d.s-g,c.delta=g,c.final=c.initial+c.delta;var m=w(Math.abs(c.delta));c.deltaLabel=g<0?"("+m+")":m,c.finalLabel=w(c.final),c.initialLabel=w(c.initial)}var v=d.hi||h.hoverinfo,y=[];if(v&&"none"!==v&&"skip"!==v){var x="all"===v,b=v.split("+"),_=function(t){return x||-1!==b.indexOf(t)};d.isSum||(!_("final")||_(f?"x":"y")||y.push(c.finalLabel),_("delta")&&(g<0?y.push(c.deltaLabel+" "+l):y.push(c.deltaLabel+" "+s)),_("initial")&&y.push("Initial: "+c.initialLabel))}return y.length&&(c.extraText=y.join("<br>")),c.color=function(t,e){var r=t[e.dir].marker,n=r.color,a=r.line.color,o=r.line.width;if(i(n))return n;if(i(a)&&o)return a}(h,d),[c]}function w(t){return n(p,t)}}},{"../../components/color":615,"../../constants/delta.js":719,"../../plots/cartesian/axes":799,"../bar/hover":899}],1331:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),layoutAttributes:t("./layout_attributes"),supplyDefaults:t("./defaults").supplyDefaults,crossTraceDefaults:t("./defaults").crossTraceDefaults,supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),crossTraceCalc:t("./cross_trace_calc"),plot:t("./plot"),style:t("./style").style,hoverPoints:t("./hover"),eventData:t("./event_data"),selectPoints:t("../bar/select"),moduleType:"trace",name:"waterfall",basePlotModule:t("../../plots/cartesian"),categories:["bar-like","cartesian","svg","oriented","showLegend","zoomScale"],meta:{}}},{"../../plots/cartesian":812,"../bar/select":904,"./attributes":1324,"./calc":1325,"./cross_trace_calc":1327,"./defaults":1328,"./event_data":1329,"./hover":1330,"./layout_attributes":1332,"./layout_defaults":1333,"./plot":1334,"./style":1335}],1332:[function(t,e,r){"use strict";e.exports={waterfallmode:{valType:"enumerated",values:["group","overlay"],dflt:"group",editType:"calc"},waterfallgap:{valType:"number",min:0,max:1,editType:"calc"},waterfallgroupgap:{valType:"number",min:0,max:1,dflt:0,editType:"calc"}}},{}],1333:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e,r){var a=!1;function o(r,a){return n.coerce(t,e,i,r,a)}for(var s=0;s<r.length;s++){var l=r[s];if(l.visible&&"waterfall"===l.type){a=!0;break}}a&&(o("waterfallmode"),o("waterfallgap",.2),o("waterfallgroupgap"))}},{"../../lib":750,"./layout_attributes":1332}],1334:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../../constants/numerical").BADNUM,s=t("../bar/plot"),l=t("../bar/uniform_text").clearMinTextSize;e.exports=function(t,e,r,c){var u=t._fullLayout;l("waterfall",u),s.plot(t,e,r,c,{mode:u.waterfallmode,norm:u.waterfallmode,gap:u.waterfallgap,groupgap:u.waterfallgroupgap}),function(t,e,r,s){var l=e.xaxis,c=e.yaxis;i.makeTraceGroups(s,r,"trace bars").each((function(r){var s=n.select(this),u=r[0].trace,h=i.ensureSingle(s,"g","lines");if(u.connector&&u.connector.visible){var f="h"===u.orientation,p=u.connector.mode,d=h.selectAll("g.line").data(i.identity);d.enter().append("g").classed("line",!0),d.exit().remove();var g=d.size();d.each((function(r,s){if(s===g-1||r.cNext){var u=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return i[0]=o.c2p(t.s0,!0),a[0]=s.c2p(t.p0,!0),i[1]=o.c2p(t.s1,!0),a[1]=s.c2p(t.p1,!0),i[2]=o.c2p(t.nextS0,!0),a[2]=s.c2p(t.nextP0,!0),n?[i,a]:[a,i]}(r,l,c,f),h=u[0],d=u[1],m="";h[0]!==o&&d[0]!==o&&h[1]!==o&&d[1]!==o&&("spanning"===p&&!r.isSum&&s>0&&(m+=f?"M"+h[0]+","+d[1]+"V"+d[0]:"M"+h[1]+","+d[0]+"H"+h[0]),"between"!==p&&(r.isSum||s<g-1)&&(m+=f?"M"+h[1]+","+d[0]+"V"+d[1]:"M"+h[0]+","+d[1]+"H"+h[1]),h[2]!==o&&d[2]!==o&&(m+=f?"M"+h[1]+","+d[1]+"V"+d[2]:"M"+h[1]+","+d[1]+"H"+h[2])),""===m&&(m="M0,0Z"),i.ensureSingle(n.select(this),"path").attr("d",m).call(a.setClipUrl,e.layerClipId,t)}}))}else h.remove()}))}(t,e,r,c)}},{"../../components/drawing":637,"../../constants/numerical":725,"../../lib":750,"../bar/plot":903,"../bar/uniform_text":908,d3:169}],1335:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/drawing"),a=t("../../components/color"),o=t("../../constants/interactions").DESELECTDIM,s=t("../bar/style"),l=t("../bar/uniform_text").resizeText,c=s.styleTextPoints;e.exports={style:function(t,e,r){var s=r||n.select(t).selectAll("g.waterfalllayer").selectAll("g.trace");l(t,s,"waterfall"),s.style("opacity",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(".point > path").each((function(t){if(!t.isBlank){var e=s[t.dir].marker;n.select(this).call(a.fill,e.color).call(a.stroke,e.line.color).call(i.dashLine,e.line.dash,e.line.width).style("opacity",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(".lines").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll("path"),t.width,t.color,t.dash)}))}))}}},{"../../components/color":615,"../../components/drawing":637,"../../constants/interactions":724,"../bar/style":906,"../bar/uniform_text":908,d3:169}],1336:[function(t,e,r){"use strict";var n=t("../plots/cartesian/axes"),i=t("../lib"),a=t("../plot_api/plot_schema"),o=t("./helpers").pointsAccessorFunction,s=t("../constants/numerical").BADNUM;r.moduleType="transform",r.name="aggregate";var l=r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},groups:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},aggregations:{_isLinkedToArray:"aggregation",target:{valType:"string",editType:"calc"},func:{valType:"enumerated",values:["count","sum","avg","median","mode","rms","stddev","min","max","first","last","change","range"],dflt:"first",editType:"calc"},funcmode:{valType:"enumerated",values:["sample","population"],dflt:"sample",editType:"calc"},enabled:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},editType:"calc"},c=l.aggregations;function u(t,e,r,a){if(a.enabled){for(var o=a.target,l=i.nestedProperty(e,o),c=l.get(),u=function(t,e){var r=t.func,n=e.d2c,a=e.c2d;switch(r){case"count":return h;case"first":return f;case"last":return p;case"sum":return function(t,e){for(var r=0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r+=o)}return a(r)};case"avg":return function(t,e){for(var r=0,i=0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r+=l,i++)}return i?a(r/i):s};case"min":return function(t,e){for(var r=1/0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r=Math.min(r,o))}return r===1/0?s:a(r)};case"max":return function(t,e){for(var r=-1/0,i=0;i<e.length;i++){var o=n(t[e[i]]);o!==s&&(r=Math.max(r,o))}return r===-1/0?s:a(r)};case"range":return function(t,e){for(var r=1/0,i=-1/0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r=Math.min(r,l),i=Math.max(i,l))}return i===-1/0||r===1/0?s:a(i-r)};case"change":return function(t,e){var r=n(t[e[0]]),i=n(t[e[e.length-1]]);return r===s||i===s?s:a(i-r)};case"median":return function(t,e){for(var r=[],o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&r.push(l)}if(!r.length)return s;r.sort(i.sorterAsc);var c=(r.length-1)/2;return a((r[Math.floor(c)]+r[Math.ceil(c)])/2)};case"mode":return function(t,e){for(var r={},i=0,o=s,l=0;l<e.length;l++){var c=n(t[e[l]]);if(c!==s){var u=r[c]=(r[c]||0)+1;u>i&&(i=u,o=c)}}return i?a(o):s};case"rms":return function(t,e){for(var r=0,i=0,o=0;o<e.length;o++){var l=n(t[e[o]]);l!==s&&(r+=l*l,i++)}return i?a(Math.sqrt(r/i)):s};case"stddev":return function(e,r){var i,a=0,o=0,l=1,c=s;for(i=0;i<r.length&&c===s;i++)c=n(e[r[i]]);if(c===s)return s;for(;i<r.length;i++){var u=n(e[r[i]]);if(u!==s){var h=u-c;a+=h,o+=h*h,l++}}var f="sample"===t.funcmode?l-1:l;return f?Math.sqrt((o-a*a/l)/f):0}}}(a,n.getDataConversions(t,e,o,c)),d=new Array(r.length),g=0;g<r.length;g++)d[g]=u(c,r[g]);l.set(d),"count"===a.func&&i.pushUnique(e._arrayAttrs,o)}}function h(t,e){return e.length}function f(t,e){return t[e[0]]}function p(t,e){return t[e[e.length-1]]}r.supplyDefaults=function(t,e){var r,n={};function o(e,r){return i.coerce(t,n,l,e,r)}if(!o("enabled"))return n;var s=a.findArrayAttributes(e),u={};for(r=0;r<s.length;r++)u[s[r]]=1;var h=o("groups");if(!Array.isArray(h)){if(!u[h])return n.enabled=!1,n;u[h]=0}var f,p=t.aggregations||[],d=n.aggregations=new Array(p.length);function g(t,e){return i.coerce(p[r],f,c,t,e)}for(r=0;r<p.length;r++){f={_index:r};var m=g("target"),v=g("func");g("enabled")&&m&&(u[m]||"count"===v&&void 0===u[m])?("stddev"===v&&g("funcmode"),u[m]=0,d[r]=f):d[r]={enabled:!1,_index:r}}for(r=0;r<s.length;r++)u[s[r]]&&d.push({target:s[r],func:c.func.dflt,enabled:!0,_index:-1});return n},r.calcTransform=function(t,e,r){if(r.enabled){var n=r.groups,a=i.getTargetArray(e,{target:n});if(a){var s,l,c,h,f={},p={},d=[],g=o(e.transforms,r),m=a.length;for(e._length&&(m=Math.min(m,e._length)),s=0;s<m;s++)void 0===(c=f[l=a[s]])?(f[l]=d.length,h=[s],d.push(h),p[f[l]]=g(s)):(d[c].push(s),p[f[l]]=(p[f[l]]||[]).concat(g(s)));r._indexToPoints=p;var v=r.aggregations;for(s=0;s<v.length;s++)u(t,e,d,v[s]);"string"==typeof n&&u(t,e,d,{target:n,func:"first",enabled:!0}),e._length=d.length}}}},{"../constants/numerical":725,"../lib":750,"../plot_api/plot_schema":787,"../plots/cartesian/axes":799,"./helpers":1339}],1337:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../registry"),a=t("../plots/cartesian/axes"),o=t("./helpers").pointsAccessorFunction,s=t("../constants/filter_ops"),l=s.COMPARISON_OPS,c=s.INTERVAL_OPS,u=s.SET_OPS;r.moduleType="transform",r.name="filter",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},target:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},operation:{valType:"enumerated",values:[].concat(l).concat(c).concat(u),dflt:"=",editType:"calc"},value:{valType:"any",dflt:0,editType:"calc"},preservegaps:{valType:"boolean",dflt:!1,editType:"calc"},editType:"calc"},r.supplyDefaults=function(t){var e={};function a(i,a){return n.coerce(t,e,r.attributes,i,a)}if(a("enabled")){var o=a("target");if(n.isArrayOrTypedArray(o)&&0===o.length)return e.enabled=!1,e;a("preservegaps"),a("operation"),a("value");var s=i.getComponentMethod("calendars","handleDefaults");s(t,e,"valuecalendar",null),s(t,e,"targetcalendar",null)}return e},r.calcTransform=function(t,e,r){if(r.enabled){var i=n.getTargetArray(e,r);if(i){var s=r.target,h=i.length;e._length&&(h=Math.min(h,e._length));var f=r.targetcalendar,p=e._arrayAttrs,d=r.preservegaps;if("string"==typeof s){var g=n.nestedProperty(e,s+"calendar").get();g&&(f=g)}var m,v,y=function(t,e,r){var n=t.operation,i=t.value,a=Array.isArray(i);function o(t){return-1!==t.indexOf(n)}var s,h=function(r){return e(r,0,t.valuecalendar)},f=function(t){return e(t,0,r)};o(l)?s=h(a?i[0]:i):o(c)?s=a?[h(i[0]),h(i[1])]:[h(i),h(i)]:o(u)&&(s=a?i.map(h):[h(i)]);switch(n){case"=":return function(t){return f(t)===s};case"!=":return function(t){return f(t)!==s};case"<":return function(t){return f(t)<s};case"<=":return function(t){return f(t)<=s};case">":return function(t){return f(t)>s};case">=":return function(t){return f(t)>=s};case"[]":return function(t){var e=f(t);return e>=s[0]&&e<=s[1]};case"()":return function(t){var e=f(t);return e>s[0]&&e<s[1]};case"[)":return function(t){var e=f(t);return e>=s[0]&&e<s[1]};case"(]":return function(t){var e=f(t);return e>s[0]&&e<=s[1]};case"][":return function(t){var e=f(t);return e<=s[0]||e>=s[1]};case")(":return function(t){var e=f(t);return e<s[0]||e>s[1]};case"](":return function(t){var e=f(t);return e<=s[0]||e>s[1]};case")[":return function(t){var e=f(t);return e<s[0]||e>=s[1]};case"{}":return function(t){return-1!==s.indexOf(f(t))};case"}{":return function(t){return-1===s.indexOf(f(t))}}}(r,a.getDataToCoordFunc(t,e,s,i),f),x={},b={},_=0;d?(m=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set(new Array(h))},v=function(t,e){var r=x[t.astr][e];t.get()[e]=r}):(m=function(t){x[t.astr]=n.extendDeep([],t.get()),t.set([])},v=function(t,e){var r=x[t.astr][e];t.get().push(r)}),k(m);for(var w=o(e.transforms,r),T=0;T<h;T++){y(i[T])?(k(v,T),b[_++]=w(T)):d&&_++}r._indexToPoints=b,e._length=_}}function k(t,r){for(var i=0;i<p.length;i++){t(n.nestedProperty(e,p[i]),r)}}}},{"../constants/filter_ops":721,"../lib":750,"../plots/cartesian/axes":799,"../registry":882,"./helpers":1339}],1338:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plot_api/plot_schema"),a=t("../plots/plots"),o=t("./helpers").pointsAccessorFunction;function s(t,e){var r,s,l,c,u,h,f,p,d,g,m=e.transform,v=e.transformIndex,y=t.transforms[v].groups,x=o(t.transforms,m);if(!n.isArrayOrTypedArray(y)||0===y.length)return[t];var b=n.filterUnique(y),_=new Array(b.length),w=y.length,T=i.findArrayAttributes(t),k=m.styles||[],M={};for(r=0;r<k.length;r++)M[k[r].target]=k[r].value;m.styles&&(g=n.keyedContainer(m,"styles","target","value.name"));var A={},S={};for(r=0;r<b.length;r++){A[h=b[r]]=r,S[h]=0,(f=_[r]=n.extendDeepNoArrays({},t))._group=h,f.transforms[v]._indexToPoints={};var E=null;for(g&&(E=g.get(h)),f.name=E||""===E?E:n.templateString(m.nameformat,{trace:t.name,group:h}),p=f.transforms,f.transforms=[],s=0;s<p.length;s++)f.transforms[s]=n.extendDeepNoArrays({},p[s]);for(s=0;s<T.length;s++)n.nestedProperty(f,T[s]).set([])}for(l=0;l<T.length;l++){for(c=T[l],s=0,d=[];s<b.length;s++)d[s]=n.nestedProperty(_[s],c).get();for(u=n.nestedProperty(t,c).get(),s=0;s<w;s++)d[A[y[s]]].push(u[s])}for(s=0;s<w;s++){(f=_[A[y[s]]]).transforms[v]._indexToPoints[S[y[s]]]=x(s),S[y[s]]++}for(r=0;r<b.length;r++)h=b[r],f=_[r],a.clearExpandedTraceDefaultColors(f),f=n.extendDeepNoArrays(f,M[h]||{});return _}r.moduleType="transform",r.name="groupby",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},groups:{valType:"data_array",dflt:[],editType:"calc"},nameformat:{valType:"string",editType:"calc"},styles:{_isLinkedToArray:"style",target:{valType:"string",editType:"calc"},value:{valType:"any",dflt:{},editType:"calc",_compareAsJSON:!0},editType:"calc"},editType:"calc"},r.supplyDefaults=function(t,e,i){var a,o={};function s(e,i){return n.coerce(t,o,r.attributes,e,i)}if(!s("enabled"))return o;s("groups"),s("nameformat",i._dataLength>1?"%{group} (%{trace})":"%{group}");var l=t.styles,c=o.styles=[];if(l)for(a=0;a<l.length;a++){var u=c[a]={};n.coerce(l[a],c[a],r.attributes.styles,"target");var h=n.coerce(l[a],c[a],r.attributes.styles,"value");n.isPlainObject(h)?u.value=n.extendDeep({},h):h&&delete u.value}return o},r.transform=function(t,e){var r,n,i,a=[];for(n=0;n<t.length;n++)for(r=s(t[n],e),i=0;i<r.length;i++)a.push(r[i]);return a}},{"../lib":750,"../plot_api/plot_schema":787,"../plots/plots":862,"./helpers":1339}],1339:[function(t,e,r){"use strict";r.pointsAccessorFunction=function(t,e){for(var r,n,i=0;i<t.length&&(r=t[i])!==e;i++)r._indexToPoints&&!1!==r.enabled&&(n=r._indexToPoints);return n?function(t){return n[t]}:function(t){return[t]}}},{}],1340:[function(t,e,r){"use strict";var n=t("../lib"),i=t("../plots/cartesian/axes"),a=t("./helpers").pointsAccessorFunction,o=t("../constants/numerical").BADNUM;r.moduleType="transform",r.name="sort",r.attributes={enabled:{valType:"boolean",dflt:!0,editType:"calc"},target:{valType:"string",strict:!0,noBlank:!0,arrayOk:!0,dflt:"x",editType:"calc"},order:{valType:"enumerated",values:["ascending","descending"],dflt:"ascending",editType:"calc"},editType:"calc"},r.supplyDefaults=function(t){var e={};function i(i,a){return n.coerce(t,e,r.attributes,i,a)}return i("enabled")&&(i("target"),i("order")),e},r.calcTransform=function(t,e,r){if(r.enabled){var s=n.getTargetArray(e,r);if(s){var l=r.target,c=s.length;e._length&&(c=Math.min(c,e._length));var u,h,f=e._arrayAttrs,p=function(t,e,r,n){var i,a=new Array(n),s=new Array(n);for(i=0;i<n;i++)a[i]={v:e[i],i:i};for(a.sort(function(t,e){switch(t.order){case"ascending":return function(t,r){var n=e(t.v),i=e(r.v);return n===o?1:i===o?-1:n-i};case"descending":return function(t,r){var n=e(t.v),i=e(r.v);return n===o?1:i===o?-1:i-n}}}(t,r)),i=0;i<n;i++)s[i]=a[i].i;return s}(r,s,i.getDataToCoordFunc(t,e,l,s),c),d=a(e.transforms,r),g={};for(u=0;u<f.length;u++){var m=n.nestedProperty(e,f[u]),v=m.get(),y=new Array(c);for(h=0;h<c;h++)y[h]=v[p[h]];m.set(y)}for(h=0;h<c;h++)g[h]=d(p[h]);r._indexToPoints=g,e._length=c}}}},{"../constants/numerical":725,"../lib":750,"../plots/cartesian/axes":799,"./helpers":1339}],1341:[function(t,e,r){"use strict";r.version="1.57.1"},{}]},{},[26])(26)}));</script>
 <p align="center">
 <a href="http://ohi-science.org"><img src="data:image/png;base64,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" alt="ohi logo" /></a> <br> <a href="http://ohi-science.org">OHI Science</a> | <a href="http://ohi-science.org/citation-policy/">Citation policy</a>
 </p>
@@ -3287,7 +3279,6 @@
 </style>
 
 
-
 <style type="text/css">
 code {
 white-space: pre;
@@ -3372,20 +3363,13 @@
   for (var i = 0; i < sheets.length; i++) {
     if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
     try { var rules = sheets[i].cssRules; } catch (e) { continue; }
-    var j = 0;
-    while (j < rules.length) {
+    for (var j = 0; j < rules.length; j++) {
       var rule = rules[j];
       // check if there is a div.sourceCode rule
-      if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") {
-        j++;
-        continue;
-      }
+      if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") continue;
       var style = rule.style.cssText;
       // check if color or background-color is set
-      if (rule.style.color === '' && rule.style.backgroundColor === '') {
-        j++;
-        continue;
-      }
+      if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
       // replace div.sourceCode by a pre.sourceCode rule
       sheets[i].deleteRule(j);
       sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
@@ -3421,9 +3405,6 @@
 summary {
 display: list-item;
 }
-details > summary > p:only-child {
-display: inline;
-}
 pre code {
 padding: 0;
 }
@@ -3442,18 +3423,24 @@
 border: 1px solid #ddd;
 border-radius: 4px;
 }
-.tabset-dropdown > .nav-tabs > li.active:before, .tabset-dropdown > .nav-tabs.nav-tabs-open:before {
-content: "\e259";
+.tabset-dropdown > .nav-tabs > li.active:before {
+content: "";
 font-family: 'Glyphicons Halflings';
 display: inline-block;
 padding: 10px;
 border-right: 1px solid #ddd;
 }
 .tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
-content: "\e258";
-font-family: 'Glyphicons Halflings';
+content: "";
 border: none;
 }
+.tabset-dropdown > .nav-tabs.nav-tabs-open:before {
+content: "";
+font-family: 'Glyphicons Halflings';
+display: inline-block;
+padding: 10px;
+border-right: 1px solid #ddd;
+}
 .tabset-dropdown > .nav-tabs > li.active {
 display: block;
 }
@@ -3556,7 +3543,7 @@
 <div id="header">
 
 <div class="btn-group pull-right float-right">
-<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm dropdown-toggle" data-toggle="dropdown" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button>
+<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm dropdown-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button>
 <ul class="dropdown-menu dropdown-menu-right" style="min-width: 50px;">
 <li><a id="rmd-show-all-code" href="#">Show All Code</a></li>
 <li><a id="rmd-hide-all-code" href="#">Hide All Code</a></li>
@@ -3770,7 +3757,7 @@ <h3>Summary of score results</h3>
 <h5>Figure A. Regional 2023 OHI index scores.</h5>
 <p>Map (top) and histogram (bottom) of 2023 index scores for each OHI
 region.</p>
-<p><img src="data:image/png;base64,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" width="960" /></p>
+<p><img src="data:image/png;base64,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" width="960" /></p>
 </div>
 <div id="figure-b.-flowerplot-of-2023-goalsubgoal-scores" class="section level5">
 <h5>Figure B. Flowerplot of 2023 goal/subgoal scores</h5>
@@ -3778,20 +3765,20 @@ <h5>Figure B. Flowerplot of 2023 goal/subgoal scores</h5>
 goal (petals) scores. Scores are an eez area weighted average of
 regional scores.</p>
 <p>Flower plots for each region can be downloaded from <a href="https://github.com/OHI-Science/ohi-global/tree/draft/yearly_results/global2023/Results/figures/FlowerPlots">here</a></p>
-<p><img src="data:image/png;base64,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" width="1200" /></p>
+<p><img src="data:image/png;base64,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" width="1200" /></p>
 </div>
 <div id="figure-c.-maps-and-histograms-of-2023-ohi-goal-scores." class="section level5">
 <h5>Figure C. Maps and histograms of 2023 OHI goal scores.</h5>
 <p>The 2023 scores for each of the 10 OHI goals displayed for each
 region (left) and as a histogram (right).</p>
-<p><img src="data:image/png;base64,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" width="960" /></p>
+<p><img src="data:image/png;base64,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" width="960" /></p>
 </div>
 <div id="figure-d.-maps-and-histograms-of-2023-ohi-subgoal-scores." class="section level5">
 <h5>Figure D. Maps and histograms of 2023 OHI subgoal scores.</h5>
-<p>The subgoal 202q scores for the following goals: biodiversity, foob
+<p>The subgoal 2023 scores for the following goals: biodiversity, foob
 provision, sense of place, and livelihoods and economies. The scores are
 displayed as a map (left) and histogram (right).</p>
-<p><img src="data:image/png;base64,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" width="960" /></p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAB4AAABLACAIAAACafmSUAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nOzdd5xU1f3/8c+9d/rMdhYp0iyIJpSgBBA1RhMlFkARlaJoYjeW2L7WaDQoQiTxp4ktlqiIvUBQ0NixYUGUqMFCZ2H77vSZe+/5/XFxMs4WdoFhd8nr+YePs3fOvfdzl91F3nP2czSllAAAAAAAAAAAsKPpHV0AAAAAAAAAAGDXRAANAAAAAAAAAMgLAmgAAAAAAAAAQF4QQAMAAAAAAAAA8oIAGgAAAAAAAACQFwTQAAAAAAAAAIC8IIAGAAAAAAAAAOQFATQAAAAAAAAAIC8IoAEAAAAAAAAAeUEADQAAAAAAAADICwJoAAAAAAAAAEBeEEADAAAAAAAAAPKCABoAAAAAAAAAkBcE0AAAAAAAAACAvCCABgAAAAAAAADkBQE0AAAAAAAAACAvCKABAAAAAAAAAHlBAA0AAAAAAAAAyAsCaAAAAAAAAABAXhBAAwAAAAAAAADyggAaAAAAAAAAAJAXWwLoGTNmaC0rKyv76U9/OmXKlDfffLPZq/Tp00fTtBEjRuyEigcPHqxp2uDBgzuqgLzaZR4EAAAAAAAAANq0Arq2tvbDDz+cN2/eoYceOmnSpPr6+nyXhWxffPHFueeee+65577//vsdXQsAAAAAAAAAtJUr5+Nhw4YNGzYs+0gikdi8efO///3vyspKEXn66aeVUk8//fTOq/F/3rp16+6++24RGTVq1KhRozq6HAAAAAAAAABok9wAesKECddff33TealU6m9/+9vvfvc7EXnmmWfmzZs3efLkzKtz5syJxWJlZWV5rbUVHV7AjrLLPAgAAAAAAAAA5AbQLfF4PBdffPGaNWv+8pe/iMjLL7+cHUBPmjQpL9W1WYcXsKPsMg8CAAAAAAAAAG3qAZ0xceJEZ/Dxxx/noZhdRCwWq6mp6egqAAAAAAAAAKCDtS+A7tWrlzOwbTv7+N57761p2ogRI5qeYlnWo48+On78+D59+ni93rKysuHDh//f//3f6tWrW7lRRUXF1VdfPXTo0KKiosLCwsGDB1977bWbN29uaX5OAddee62maZqmzZw5s6VTpk2b5sx57LHHso+/9957Z5999sCBA0OhULdu3UaOHHnppZe2VO2IESM0TXMWg8diseuuu65///6hUOjTTz/Nnvbmm29Onjx5//33Ly4uLi8vHzly5BlnnPHVV19t9UF+97vfaZo2duxY58PTTjvNqXnNmjUffvihM542bVpLzzhmzBhN0wzD2LBhQ0tzAAAAAAAAACBP2tqCw7FixQpnsM8++7Rl/urVqydMmLB8+fLMkdra2tra2mXLlt1+++233HKL01Q6xxNPPHHmmWeGw+Hs+65YseKee+555pln2nLfyZMnz5gxQ0SefvrpK6+8sumERCIxf/58ESksLDzuuOOcg8lk8pxzznnooYcy06LRaE1NzdKlS2+//fZrrrnmD3/4Q0t3jMViRx111JtvvplzPBqNHn/88S+//HL2werq6qVLlz700EPXX3/9dddd15YnamrEiBH9+/dfvXr1ggULUqmUx+PJmbBmzZr33ntPRH7+85/37t172+4CAAAAAAAAANusHQF0KpW65ZZbnPFvfvObrc5vbGw8+OCD169fLyKhUGj06NHDhw+vqKh4//33V65cmUwmL7nkEq/Xe95552WftWjRoilTpjgrrEtKSkaNGjVo0KDly5e///771dXVEyZMcLm2XvOPfvSjwYMHf/755x9//PHq1av79++fM2HhwoVOwH3yySf7/X7n4Iknnuik0m63+7DDDhs8eHAymVy2bNmSJUssy7rxxhsrKiruvffeZu94/vnnv/nmm3vuuefYsWP79++/3377iYhS6tRTT3XS58LCwvHjx/fv3z8ejy9duvStt96yLOv666//yU9+cswxx7T0IJdffvlpp532zjvvnH/++SJy4403jhs3Tr5fin7CCSf86U9/amxs/Ne//nXUUUflnDtv3jyllIiccsopW/2MAQAAAAAAAMAOt/UwN5VKVVZWfvrpp7fccsv7778vImeccUbTuLOpmTNnOunzsGHDnn322QEDBjjHlVIzZsy4/vrrbdv+/e9/P3Xq1KKiIucly7IuueQSJ30+6qij5s6dW1xc7Ly0Zs2ao4466osvvmjjg02ePPnzzz8XkWefffaSSy7JefXxxx93BqeffrozWLBggZM+77///g8//LCTIDteffXV6dOnb9iw4b777pswYULTZ3/zzTcrKiouu+yym266yefzZY6vWLHi2WefFZHhw4e/+uqrmWcRkfvuu++ss85SSt19992tBNC9evXq1avXpk2bnA/79u07dOjQzKuTJk3605/+JCLPPPNM06qc1iKBQOD4449v6foAAAAAAAAAkD+5PaBvuOEG7Ye8Xm+fPn2OPfbYd999NxAIzJ49++67797qddetW/fnP/9ZRIqLi19//fVM+iwimqZde+21TihcU1OT3ab5/vvv//LLL0XkwAMPXLBgQXZi269fvyVLlpSUlLTxwU4++WRn0LRrRyQSWbhwoYgMGjRo1KhRIpJKpZx6SktLX3jhhez0WUQOP/zwRx55RNM0EWm2Y0ZFRcXo0aNnz56dnT6LyLvvvusMLrroouxnEZEzzzyzb9++oVCo2U7QbfTTn/60X79+IvLCCy+Yppn90ooVK5z8fcKECQUFBdt8CwAAAAAAAADYZu3bhDCVSv3nP/9x1jW37rHHHkskEiJy8cUX52Svjssuu8zpffHAAw9kDt5///3O4Oabb9b13NpKSkpy+nW0YsCAASNHjhSR9957b+PGjdkvvfDCC/F4XLKWPy9atOibb74RkQsvvLDZdsk///nPDz74YBFZtmxZdXV10wmtt3J2Lp5jzZo14XC42ZfabtKkSSJSU1OT0346s7Mi/TcAAAAAAAAAdJTckHfYsGGnNXHqqacefvjh3bt3N03z73//+5AhQ954443Wr+s06xCRzBZ/OXbbbbcDDzxQRCorK1etWiUiyWTyk08+EZHevXv/7Gc/a/as6dOnt/3ZJk+eLCJKKacPRobTf8MwjEw4u2TJEmdw6KGHtnS14cOHO1dziswxbNiwpgdHjx7txOgzZsw4++yzly5d6nQX2YGcAFp+uNBbKTVv3jwR2W233X75y1/u2DsCAAAAAAAAQBvl9oCeMGHC9ddf3+zUVCo1Z86cq666qrGx8Ve/+tXKlSv79OnT0nU3bNjgDLKbb+TIvLRx48YBAwZUVVU5fST23nvvlk7p37+/ruttjHFPPPFEp6P0M88889vf/tY5WFdX5+wKOHbs2J49ezoH165d6wxaCaAzqqqqco54vd4ePXo0nTlkyJAbb7zxuuuus2373nvvvffee4uKikaNGjVq1Kgjjjhi1KhRTVd5t5fThWPNmjXPPffcnXfe6VzwvffeW716tYhMmTLFMIztvAUAAAAAAAAAbJt2BKAej+fKK688++yzRSSRSMyePbuVyeFwWESCwWArDYgzzS7q6+tFJJlM5hxvyu12t/Jqjp49ezorqd9+++1Mavzcc8+lUinJ6r8hIg0NDW28ZnadGd26dXM6RDd1zTXXvPfee7/61a+8Xq9zo8WLF//hD38YM2ZMz549b775ZqeY7XHCCSeIyKZNmzItp53lzyIybdq07bw4AAAAAAAAAGyz3BXQWzV9+vR77rlHRJYuXdrKNCd3jkajkUgkFAo1O2fTpk3OwJnQp08fwzAsy8pp2Zyjaf7bismTJ7/++uuWZT3//PNnnnmmfN9/o6ys7Nhjj82pVkQWL1682267tX7N3XffPedIS+mzY+TIkS+++GI0Gn3ttdfeeuutd9999+OPP04mk5WVlddcc82iRYtef/317VmnPGnSpNtuu01EnnnmmYMOOsg0zSeffFJE9ttvP6dtCAAAAAAAAAB0iHa3gNhjjz2cQUVFRSvTMt0tnP7Ozfr222+zJ3s8Hqenx9dff93SKfX19ZWVlW2vduLEiW63W0SefvppEamsrHzttddEZOrUqR6PJzMts6q6pKRk6NaUlZW1vYCMYDB47LHHzp49+5133qmpqZk7d65z07fffvsf//jHNlwwY+TIkX379hURp9X1q6++6nyK2H4QAAAAAAAAQMdqdwCdCZQHDhzYyrRRo0Y5g/nz5zc7oaamxtmosLS0NNP0ea+99hKR9evXZ3YFzPHSSy+1q9rS0tIjjjhCRF5//fW6urqnn37asiz5Yf8NERk9erQzePXVV1u61Jw5cy644ILLL79cKdXGu99999233nrrn//855zjwWBwypQpmdy59bXkbeFsRbh27dqPPvroscceExFN06ZOnbqdlwUAAAAAAACA7dHuAHru3LnOYOjQoa1Mmzx5stP1+LbbbmtsbGw6YdasWZFIRESmT5+eaWFx6qmnOoOrr766ac6bTqevu+669hY8efJk59z58+c7/TeGDRs2bNiw7DlHH320swr7z3/+8/r165te5OOPP77sssvuvPPO9evXt95wI9uzzz575ZVXXnLJJc0uAw8EAs6gpKSkPQ/UDCeAFpFHH330ueeeE5FDDz20lS0iAQAAAAAAAGAnaEcAbZrmnDlz/vrXv4qIx+M544wzWpncv3//Cy+8UETq6uoOO+ywtWvXZl5SSs2cOfNPf/qTiJSVlf3+97/PvDR16tQf//jHIvL222+PHz8+e2/AqqqqI488MtO1o+3Gjx/v9/tF5M4773QWVucsfxaRYDA4Y8YMEamsrBw9evTnn3+e/epnn302btw4JxBv/alzHHDAAc7gggsuqKmpyX6poaHhyiuvdMYHHXRQGy+YSCSaPZ7pwvHXv/7V2f6R/hsAAAAAAAAAOlzuJoTz589vugRYKbVx48bly5dntge85pprBg0a1Pqlr7nmmkcffbSiouLjjz8ePHjwwQcf/JOf/GTTpk3vvvvuF1984cy5+eabi4uLM6fouj579uyjjz7atu0FCxbsueeeBx544L777vvll1++/fbb9fX1BQUFhxxyyMKFC9v+hKFQ6Jhjjnnqqac++ugjEfF4PFOmTGk6zdlc8YMPPli/fv2IESN+9atfDRkyxLKsTz/99KWXXrJtW0Suvvrqww8/vO23vuCCC+6///7KysqFCxfuueeeRx555F577eVyub755pv58+c7C8DHjh07duzY1q/jBOgictdddwUCgVQqNWnSpMLCwuw5J5xwwpw5c0zTFBGfzzdx4sS21wkAAAAAAAAA+ZAbQH/yySeffPJJ6+f85je/ufrqq7d66aKioiVLlowfP37FihWNjY0LFy7MDo59Pt+sWbPOOuusnLPGjh376KOPnnXWWZFIpKamZsGCBQsWLHBeKisre/LJJ1955ZV2BdAiMnny5KeeesoZH3vssd26dWs6R9f1xYsXn3TSSYsXL04mk88///zzzz+fedXj8Vx00UV//OMf23Xfnj17zps376STTqqurm5oaHjyySdzJowdO/bJJ580DKP16wwZMqSoqKihoWH58uVOl5Jf/OIXOQH0pEmT5syZ44zHjx+f8yoAAAAAAAAA7Hy5AXRLSktL991333333Xfq1KmHHnpoG8/aY489Pv3007lz5z799NOffPJJVVVVIBDo37//kUceed555zldI5qaPHnyz372szvvvHPhwoVr1qxJp9O77777uHHjLr744t69e7/yyittvHvGUUcd5QS40lz/jYyioqJFixa99NJLc+fOfeeddzZv3lxQUDBw4MBhw4Zdeuml/fv3b+99ReSwww5bvXr13/72t1deeWXNmjXr1q0rKioaMGDAoEGDzj333BEjRrTlIsXFxQsWLLjqqqs+++yzZDLZq1cvj8eTM8fpwuG0OqH/BgAAAAAAAIDOQGu61x+6IqXUnnvuuWrVqvLy8o0bN7pcbX1rAQAAAAAAAADypB2bEKIze/3111etWiUikydPJn0GAAAAAAAA0BkQQO8i7r//fmdA/w0AAAAAAAAAnQQtOHYFX3zxxbBhw9Lp9I9+9KMVK1Z0dDkAAAAAAAAAINL2TQjRCb3//vs333xzOp1+88030+m0iFx99dUdXRQAAAAAAAAAbEEA3YU1NDQsWLAg8+Hxxx9/8sknd2A9AAAAAAAAAJCNHtBdWK9evQ488MBQKDRo0KDZs2c//vjjus4fKAAAAAAAAIDOgh7QAAAAAAAAAIC8YMEsAAAAAAAAACAvCKABAAAAAAAAAHlBAA0AAAAAAAAAyAsCaAAAAAAAAABAXhBAAwAAAAAAAADyggAaAAAAAAAAAJAXBNAAAAAAAAAAgLwggAYAAAAAAAAA5AUBNAAAAAAAAAAgLwigAQAAAAAAAAB5QQANAAAAAAAAAMgLAmgAAAAAAAAAQF4QQAMAAAAAAAAA8oIAGgAAAAAAAACQFwTQAAAAAAAAAIC8IIAGAAAAAAAAAOQFATQAAAAAAAAAIC8IoAEAAAAAAAAAeUEADQAAAAAAAADICwJoAAAAAAAAAEBeEEADAAAAAAAAAPKCABoAAAAAAAAAkBcE0AAAAAAAAACAvCCABgAAAAAAAADkBQE0AAAAAAAAACAvCKABAAAAAAAAAHlBAA0AAAAAAAAAyAsCaAAAAAAAAABAXrg6ugAAAAAAQGdhWVZHl7B1SilnoGlax1ay/ZRSu8ZTOINd5ll2mQeRXeVZdo2ncAa7zLN09QfJ/IlIV3gWXdc7f5GtIIAGAAAAAGxx5513rly5sqOrAAAA/3XppZfuscceHV3FtiOABgAAAABs8eWXX3777bed/F+56XTaGbhcri69IkwpZZqmYRi63rXbY9q27ayd3wWexbIspZTL1eXTEufbRNd1wzA6upbt4nybdPVvdhExTdNZctvVn8X5E9kFvrQsy7JtWzr9Dy7btpctWxaJRDq6kO3S5X+kAgAAAAB2oOHDh99yyy0dXUVramtrbdvWNK24uLhLJyBKqZqammAw6Pf7O7qW7RKPx6PRqIgUFhZ6PJ6OLme7RCIRy7KKioo6upDtVVNTo5Tyer0FBQUdXct2sSyrrq6upKSkq3+zNzQ0mKYpImVlZV06gLZtu76+3ufzBQKBjq5lu0Sj0Xg8LiIFBQVer7ejy2lRIpE45JBDOrqK7UUADQAAAAD4L03TOvNaMKVUpjxd1ztzqVtl27b+vY6uZbtkvmZ2jWfp5N8CbaR9r6s/i/Mt39W/tDJPIZ3+Z2xbOP2Id4Gn6BJ/Il367YqMzvv5BQAAAAAAAAB0aQTQAAAAAAAAAIC8IIAGAAAAAAAAAOQFATQAAAAAAAAAIC8IoAEAAAAAAAAAeUEADQAAAAAAAADICwJoAAAAAAAAAEBeEEADAAAAAAAAAPKCABoAAAAAAAAAkBeuji4AAAAAAPADSql4PF5XV1dbWxuNRi3LKiws7NWrV2lpqaZpTSd/+eWXNTU1Ta/j9XpHjBjR9BQAAICdhgAaAAAAADqXZcuWzZo1y7Is0zRt21ZKGYbhdrtHjhx5wQUXeDyenPnPPvvs0qVLm16ntLT0gQceIIAGAAAdiAAaAAAAADoXy7JisVifPn2GDh1aWFio63p9ff1bb7315ptv1tfX33DDDYZhND3rmGOOKSkpyT7i8/lInwEAQMcigAYAAACAzqV79+5z5szZa6+9sg8eccQRl1122fLlyxctWnT00Uc3PevII4/s16/fzqoRAACgTdiEEAAAAAA6l379+uWkz87B4447TkQWLVqklOqIugAAANqNABoAAAAAugBN0/bdd18RSafTBNAAAKCroAUHAAAAAHQNixYtEpF99tmn2c7Ob7/99kMPPVRRUbHHHnsccsghBxxwgMvFv/gAAEAH439HAAAAAKAL+Prrrz/88MNQKDRt2rRmA+gnn3zSGWzcuHHJkiXdu3c/5ZRTDjnkkJb2Ibz88stN08w5WFtbGwwGGxsbd2zxO5Zt284gEol06V0WnZXsiUQinU53dC3bxbIsZxCLxRKJRMcWs51M01RKdfJvgbYzTbOrP4vzbdLVv9kl69skHA536WdRStm2nUqlMk/URWX+BkwkEqlUqmOLaYXzQzXzF18XRQANAAAAAJ2aUiqdTv+///f/LMs68cQTy8vLcyYMHDjwiCOO2G+//QKBgFJq1apVd9xxx+rVq2+77ba99967V69ezV727bffbhpA9+rVy0kW8vIkO1pXz20dlmV19Rwno+lXVBfVVb4FtqoLfTu3btf4ZnfsGs/SmX9wbayI1NS19Z2w4mJvn14Fea1nO+0a38K7YAD9t7/9zfnFNBGZP39+zqtKqfHjxzvjhx56qLS0tO1Xfvrppx9++GERKSgomDt3buuTx40b5wxmzpy53377tf0uO9b48eOVUtdff/3++++fj+tfcskl33zzjYgMHz78hhtuyMctdpTMn4jzVVFfX3/qqadKc18kAAAAQKcSDodnzpy5Zs2a44477qijjsp5VdO0E088MfvIXnvtNWvWrHvvvfeVV165/PLLH3zwQY/HsxPrBQCgw7z4r9XPv/htGyf/8tC+F539k7zWA9klA+jO7KqrrnIGZ5111oABA9p7+g033JBMJkVk0qRJw4cPb8t8pZSmaXlKn7u04uJiZ3DFFVfMmjWrY4sBAAAAmqWUamhouO2221asWDF27Njp06frept2kvd6vWedddZrr70WDocrKir69evXdM6SJUuaHjz//PO9Xm+3bt22t/S8UUrV1dU5v4xcUlJiGEZHV7TtbNt2ep74/f6OrmW7xGKxWCwmIoWFhV393Y5wOGxZVuYfjF1XdXW1iHg8nsLCwo6uZbtYllVXV9fVv9mdH+bOrwiUlpa28Sd552Tbdn19vdfrDQaDHV1L89r7EzUUCvl8vjwVs/3i8biIdOmvGSGAzp8ePXo4jYqy//b997//7Qyi0eg2XPPLL790vux+8YtfbHWyaZqffPKJiFx99dXbcK//BfPmzZs8efJXX33V0NBQVFTU0eUAAAAAuWzbvvXWW//9739PnDhx8uTJ7fr3p9fr7dGjx4YNG+rr65sNoJvdorBLdyYFAACdEAF0vtx7770dW0CmIcbIkSM7tJDOK/Nm3e9+97sHHnigY4sBAAAAclRVVd16660rV64cO3bsySef3N6FpaZp1tTUiEggEMhPgQAAAFtHAP1fsVjswQcfXLZsWXV1dVFR0eDBgydOnNhKo4wnn3zy5Zdfrq+v/+lPf3ruuecWFPygZ/kjjzziDI488sju3btv9e7r1q174oknli9fHg6Hy8vLhw4deuqpp27zb8pYlvXZZ5+JyL777tv01VdeeeX1119fuXKly+Xab7/9fvnLX44ePbrZ4k855ZS2HHcopR544IE33njDNM2DDz74nHPOaXaBRl1d3R133LFs2bIDDjjgyiuvNAyjpcvatv3YY4998MEH69atKysr23///adPn97sr3isXr36qaee+uyzz8LhcPfu3YcNG9bSzBynnXbaQw89VF1dHYlEQqHQVucDAAAAO4FSyrbtGTNmfPfdd+PHj//Nb36zDVf45z//mUgkRKSlTQgBAAB2AgLoLW699dZ33nkn82FdXd1bb7311ltv9ezZ85577mk6/9RTT62vr3fGS5YsWbJkyS9+8YsLL7wwM+Gpp55yBvvvv3/37t1vu+22N998M/Oq0xbj2WefdX7r7fzzz1+3bl3m1c2bN7/88ssvv/zyAQcc8Pvf/15E5s+f//e//z0z4fbbb7/99tsfeOCBllqzvfLKK87g2muvzT5u2/aECRMyH6ZSqY8++uijjz5yuVxPPfVUpqFSpvicRLil4yKilDr++OMzW6AuWrRo0aJFV1xxxUEHHZQ97cEHH3zuueec8QcffHDcccc9++yzzmU1Tcu+7OLFi//6179mPqyqqnKuOXTo0Jtuuin7muecc87GjRszH27atMmZOWrUqK22HznqqKMeeughEXn88cfPOOOM1icDAAAAO0dtba2TPk+YMGHKlCmtT66vr//222/33HPPgoICwzCUUtXV1QsXLly4cKGInH/++Z22TScAAPhfsIsH0M0u1G1q8+bN2elztoqKikWLFo0dOzb7YDgcbjrzX//61/jx45vtrda6hQsXZqfP2T766CPbtreh0fhdd93lDHJW9Z5wwgnNzjdN84QTTshEw9tg2bJlTQ/OmjVr6NChmbXhH330UdNbTJ06temJK1euzE6fsy1fvvymm2667rrrnA+ffPLJ7PQ52/vvv7/Vz16mzfz8+fMJoAEAANBJfPzxx998842IzJ8/f/78+Tmvdu/e/Y477vB6vc6H9fX1f/jDH5pexO/3H3PMMUcccUS+qwUAAGjFLh5ANzQ0tGXaH//4R2cwZMiQzPjCCy9cvXq1iLz44os5AbSIaJr2/PPPOxt0HHfccc7K3wsvvPCFF15o9haXXnrppZdeOm7cOOfDm2+++cc//rEzzqywvuGGG4YPH+6Mp02b1tjY6Lx67rnnjhs3bty4cSeddJKzCeFFF110+OGHt/Q4Siln/0P54RYilmU5O66KSPb/xTpVWZZVWVnZlm4hLSkpKfnHP/6RfU0R+e1vf+scVErdeOONzsFAIPD444+LyGuvvfaXv/yl6aUuu+wyZxAMBufNm+eMZ8yY8cEHH4jIhx9+GI/HnV1NH330UefV2bNn77PPPs548uTJzjaPDz/88GmnndZ62YMGDfrqq69ExDTNZrdhAQAAADqKbdtbPdijR4+LLrro888//+qrr6qqqkRkr732Gjly5PDhw/v06cOmggAAoGMRt4mIFBYW/uhHPxKRzLpaERkzZowTQNfV1TU95ZFHHsn8n9wTTzzhrCxWSm1DiOncWkSGDRuWOdizZ08ngF6/fn27riYisVjMGfzsZz/LPl5ZWZkZ19bWlpaWOuPM7/SlUqn23itbJs3BJQ8AACAASURBVH0Wkfvuu+/MM88Ukbq6OqWUpmmbN2/OvPrYY485g8MOO+yf//yns7gjY8OGDZlxJn0WkWuuuSaTa//jH/8455xzJOuzN3DgwMzM8vJyJ4BuaXF0tjFjxjgBdCQSKS4ubtuzAgAAAHl0xBFHtH3lss/nO/zww1tZoQIAANCBdvEAuulvq0nW4tyMGTNmOAOl1ObNmz/55JMPPvjgk08+aeXK2dsDejwer9ebTCZFZMGCBccdd1y7irzlllsyd1+9evXy5csXL168DblzRqZDSGZFsKNHjx6ZsbMu+NBDDx0/fvzJJ5+8zfdq9uIikr2Surq6ury8/K233nI+dLvd2W0xLrjggosuuij73IcfftgZlJeX59zl17/+9QMPPCAiL774ohNAZ3/2Vq1atXz58pdeeqmioqLtlZeUlDiDhoYGAmgAAAAAAABgB9rFA+i2W7JkyezZszOdK1qX6baW0adPH2cZ74cfftjeAFpEHnvsMaclxQ7hROHSpAG0pmkHH3zw22+/nTnyxhtvvPHGGyLSs2fPmTNnZqLYbZBZT525V2bc2NhYXl7+2muvOR/mbEs4YMCAnEtFIhFn0LSeppNF5OGHH3766ae3qWoRkcyWLDU1NdvQwhsAAAAAAABAS9q9u90uae7cubNmzcqkz3vuuefvf//7ZvfxcKTT6R149yuuuCI7fR45cuQtt9wyatSobb5gZn2x05k62+WXXz537tymLa0rKiqmT59eU1OzzTfdavuOzATDMFqfmQmvm74f0PTIJZdckp0+jx49eubMmYMHD95qwRmZz1LT9xUAAAAAAAAAbA9WQIuIPPHEE87gqquuGj16tDP+8MMPW5rfdCeQ7777zhkcfPDB7bq1aZpOA2IReeSRR4qKipzxc889167rZMss6c1u+pxRUFBw3nnnnXfeeZZlPffcc5l+FyLy5z//ObMHY3vl7PeYnRQ7fS1Gjx69YMECEXn11VcvvPDCzKvZHZ8zFTqD6urqnJdWrlyZ/WEymcz0j37iiSecbQmluZy6FZkF19uzASMAAAAAAACAplgB/QOZ9FlEbrrpplZmZmejkUgkE0k3XVzcuuzcNpM+i8jSpUvbdZ1smf7Ur7/+evbxf/3rXwsWLFiwYIGzNZ9hGCeccML8+fPHjBnjTPjiiy9yLpW91jsn/M1RVVWVnct/++23mbHTnePII490PlRKZc/8y1/+knOpM844wxnU1dWZppk5rpR69NFHnfHEiRNFJHtjw0z6LCIrVqxopdQc//nPf5xBTscSAAAAAAAAANuJAPoHXnrpJWfQ+g6EIvLrX//ayaBramqmTJniHHS73dm9j1tRX1/vDLL7UaxZs0ZElFL/+Mc/Wj9906ZNrbzqcrmanfb+++/fd99999133+9+97vsCPijjz5yBk03zr700ktN01RKff3115dddlnrVU2dOjUWi4nIN998c8kllzgHBw8e7HxO+vTpk5k5ZcoUpZRSat68eZn8N6OsrCzzaTnppJOcayqlfvvb32bmOBsnut3uzBFn40Gl1D333NN6nTkyf+g+n69dJwIAAAAAAABoHS04RER8Pl8ikRCRu+6666677sp51XmpqV//+tc5Rx577LE23nHWrFm33377vHnzslc9X3DBBU1nNjY2ZsZ+vz8ej4vIE0888fzzz991113dunVr9vo/+clPli1bJiKmaWby6IsvvtjJyuPx+IQJE5qedfrppzsDTdOcLharV68+/vjjnYO6rjftPZItGo06uXC2G2+8MXPN3/zmN/fff7+IxGKx8ePHt3Kpu+6666yzzhKRdDrd9JoTJ050+jX36NEjc/Dss89uep1Me42WZJp1hEKhNr55AAAAAAAAAKCNWAEtInLvvffmHCkoKHjyySedcTKZzGmmXFBQsPfee+ecMnPmzK3uYnf11VdnxslkUkQ0Tbvuuutyph1wwAHHHnusM167dm0mJP2///u/nNNbcuaZZzqD7K4aoVDolltuaemU2bNnBwIBZ5x59myPPPJIK3ccPnx45vSMBx98MHuJ9/jx47ObnDiym1Bn9OjRY86cOc3e6JRTTpk+fboz1jTt8ssvz5kwZsyYQw891Bn/+9//br0fdKYD9VVXXdXKNAAAAAAAAADbQGvXdm27MMuy/vnPfz788MNDhw4977zzWlpZnG3z5s1/+tOfVq9effbZZ//85z/PTlpbP+v222//8ssvx4wZc+mllzqrbuPx+MMPP/ziiy+OHTv2lFNOaaUZcW1t7R133LFs2bIRI0ZcccUV2T0ocowbN84ZzJ8/P+elioqKF1988Y033ohEIgcccMC0adP69u2bs/7Xtu2PP/74rrvuSqfTZ5111kEHHbTVBcJKqZUrV86ZMyeRSFxyySVDhgxp9pTGxsb777//jTfeOPHEE08++WTDMJxSNU174YUXci64fv36Rx55ZOnSpXvsscfpp5++3377Nf08x2Kxhx56aPHixUcfffTUqVMzezC2xcSJE50+1y+88AIroAEAAIBzzjmnuLh45syZHV1Ii5RSdXV1zm9nlpSUtPEfYp2Tbdu1tbXBYDB7S5uuKBaLOb0TCwsLPR5PR5ezXcLhsGVZxcXFHV3I9nK6hno8nsw2UV2UZVl1dXVd/ZtdKdXQ0OBsc1VaWqrrXXg9qG3b9fX1Xq+3XfHLznT73R/Me6ate4P98tC+11x6cGduyhqPxw8++OAHHnhgyJAhHV3LtiOA3mW98847t956q3SaaNW27cyOgtn/R7Jq1aqLLrpIRAKBwOOPP76Tq3Ky7+nTpzu7GgIAAAD/4wigdyYC6E6IALqzIYDubAigd7JdI4Duwl/xaN2YMWOcv/inTp3a0bWIiNTW1p7wve+++845mE6nM9sVHnLIITu5pCuvvFJEdF0nfQYAAAAAAADygU0Id2X33HPP6aefHolEbNvu8LfXunXr1qtXr40bN4rIxRdfnPOqpmnnnXfeTi7JaZB9ww037OT7AgAAAAAAAP8jWAG9KysrKzvkkEOGDBly3333dXQtIiJ33333iSee2PT42LFjn3/++Z1czFNPPTVkyJDRo0cPGzZsJ98aAAAAAAAA+B/BCuhd3GWXXdbRJfzAtGnTpk2bFovFGhsblVJFRUWBQKBDKpk0adKkSZM65NYAAAAAAADA/wgCaHSAQCDQUbkzAAAAAAAAgJ2GFhwAAAAAAAAAgLwggAYAAAAAAAAA5AUBNAAAAAAAAAAgLwigAQAAAAAAAAB5QQANAAAAAAAAAMgLAmgAAAAAAAAAQF4QQAMAAAAAAAAA8oIAGgAAAAAAAACQFwTQAAAAAAAAAIC8IIAGAAAAAAAAAOQFATQAAAAAAAAAIC8IoAEAAAAAAAAAeUEADQAAAAAAAADICwJoAAAAAAAAAEBeEEADAAAAAAAAAPKCABoAAAAAAAAAkBcE0AAAAAAAAACAvHB1dAEAAAAAgM5CKWXbdiqV6uhCWqSUUko543Q6bVlWx9azPZwHMU2zM3/C2yLzp2CaZsdWsv1s2+7k3wLtopTq6s9i27aIpFIpwzA6upZtl/ODS9O0jq1ne9i23cn/prDs9v29YFlWp30WEXFqy3z9dFEE0AAAAACALWzbNk0zHA53dCGtyfw7PBKJdOkcx5FMJjtz9tEWmT+RWCzW1f9EnGfp5N8CbZdOp3eBdwVEJBaLdXQJ2yv7B1fHVrL9lFKd+QdXup2FxePxRCKRp2K2n1MbATQAAAAAYBdhGIbH4ykrK+voQlqklKqrq3MWRZaUlHTpRZG2bdfW1gaDQb/f39G1bJdYLObkg4WFhR6Pp6PL2S7hcNiyrOLi4o4uZHtVV1eLiMfjKSws7OhatotlWXV1dcXFxV36m10p1dDQ4LwZUFJSoutduCOubdv19fVerzcYDHZ0Lc3z+dr3EzUUCvl8vjwVs/3i8biIdOmvGaEHNAAAAAAAAAAgTwigAQAAAAAAAAB5QQANAAAAAAAAAMgLAmgAAAAAAAAAQF4QQAMAAAAAAAAA8oIAGgAAAAAAAACQF66OLgAAAAAAAAAAdgBdF4+7TStulYiuafmuB0IADQC7AKWUUir7SCqV2uF30TQt5y75ZhiGYRjZR3SdX9wBAAAAALTMUnpb/umqRIkS285/QSCABoCO1myqa5pmZmxZVkcVo2W9G7yT02cRsSxrG549O7N2uXL/mtN4fxsAAAAAdl2mpaLRdFsnmzv737n/mwigASC/Mrmt/f07q5lweQdGukopy7JM07TsLZw7WrZyEldNNF3XREQTpdJxO15tRTardNynGt1W2K3ibpVwS0KT3JKUSFILJbWCmKu7HerrKds7EAw1DXY7j+zMupX8OpNEO8+iaZpzhIQaAAAAAIAdqPMmCADQhdi27fTByCS/O/wWpmkmEol4ImnZdlJppojSdM3l1gyX5nJpuiGii3hEEzFEjCanR8O+zZ/3ir3vtxvbdV9NxKciPhUpSlVI7XKpFRGJa4WN7v7uPY4Mhgp20PPtbJn0P51u7b1xp+mHs6pa13XiaQAAAAAA2oUAGgDawQkrnXw5Ty0pTNNsDIej0ajl8lpur6YbYhiay61puhgBCQacaU0S5hYoldy8fo+6+SG7agcW6VeN/tRn6qvP15af1KPffttwBdu2Kzau8+tVPj1q6LauWbqmbKUppdlKV6LbSlNKlOim8qRUYdr2e70ef6AgEAhkd4JWSpmm6fxZKKVcLldO2+jt1Mo7Ck4Y7RTjdrt34E0BAAAAANhlEEADwA84UWM+NvFryjTNuvr6hoYGzR/SggWa4RZd0zRdfEXiK5K2p8zNUaYp65ftHV1siLn12dtEE9Wv6vHq+oFqwLHBYKi2urKxoc5rhT1WvSdZI6ISvp5JV6mlez1uw+cPefwhr9frcrnWrf2mX+Ga3oHcCxpbGoDk9M2IidRvGaZEUqKU2EoTEV1TmiY50a8SZzcJJ7/WlNIsW09Z7rgZjKQCgWCgsLA0GAxu/+M7qbfT5aPZXh+ZTRTZOxEAAAAA8D+LABrA/5zMymWnF/NO2OJPKWXbKpGIV1RWKbfXKCzVtyyY1SVY6gqWtn7yf/+bTqp41LZtw0ppmi6iVFE3MdyiaaJpzo3EtlPrvhoU/adH4iKiRExxbyr8edzXN1OMpmmZVcPZS3d9qYrd61/SpH39Q7qlV36z6oNu9Yt7i/TOeS3S/CnFvv3MUD+3sY2NSjRNDK3F5edOo2tNlGjixNFuw/K504US282ZkRRJbpmctoyaaFHMDJSW9SgoLNK+t22F5WhpE0XDMHRdz6TStPUAAAAAAOzCCKAB7MoynRlExDTNfLRmbvampmmm0ulwNNYYjRsFxUYgKCKi+109+rZymihbdEMSMS0ZU6apud2SiGW6S7tcrkQiYZqmy+VKmGYgEBARqdlkGIZyey2PP127qdRcF7I2a2JXh0ZE/HsXRL8MB/fVNM22bWVZIhKLxXJu66z11jRN13Xbs9u35dP7V89zqUQ7nle0npGP2/Up6p74Qr74YuOA47uFou06cYdzG1aPwlqRWlHrpUFERInUxwORdGFB8e4+f9Dj8ezwgLhpMO2E0ZntEIVUGgAAAACwqyCABrDrcIJay7IymwHmm23byWQykUgmLSuWtmxN13x+w+sXMUQzJOTzhFotOBHTow2abTllOwcTiYRSyuPxuNKunLxY0zS3263rusfjyWyIp5Sy4lEz3CBKxYN71yf7ut1u27bjkUjSvYdXJBaLtbTK2+/3O4PM1UxbrSqfZkTXmYHemqa7zbry8PvB9IaWHiGmFSdTRrG5th2fte/1WvXsqtIje+eumm7N2sggrx7t7l+3Od5XE+keWLvDY1pNpNgfK/bHxN4kUVERaUwGE3bA5e/t84f8fn8+ouGWGr8YhuG8N0ATDwAAAABAF0UADaALM03TiVbztB9gNsuyItFoLBYzNSOlGWK4NI9XM1ya5hWfV0R0ka1khLGwloqLZWm2JSJKN3R7Sy6saZphGIlEwuVyBYNBTdMsy4rH45lTXS5XJiwWERFlWXY8Hs958HA4LFk5ZjqddnZNbEnmFm632+fzOXm6iGh6NzMSDQQCuh6UluPWta79eze869+OHtMDahfXxAb69tjLbTQfkcfMkFJaQ6q8zLexIeYWTZJ2cF10UDqd9nkkli6sS3ZXopX71vtc8WavoJRWm9ytwFPn0ZOZg1Xx3nGroJtvfV0saOklmlheI+EzIkF3g6H94K0LTZNCX7RQoiJVkhAVl2jal7SCaX23UGFxMNjqOwzbrek7B04erWmas1waAAAAAIBOjn++AugabNu2LMvpR7ETbqeUqq2rawxHlD8kXp9muDXDEHdIikLSrr0BldLqKyWd0jQtlUolk8lQKCSaZnt8WuoHbS6cDDqdTqdSKdu2DcNw9utzXlJKOf038vT4lmWFw2GXy+WU4fF4uje+FaxZ5ZIW8+t12pA+DW9t9coJd9nm7kclXcXl1a/VlR2kWwlXuqG08eNAYp0zoTi1rrKyn1ZYUBrMbcexNrKPfJ9/b4737xlYtSFq67pu27bb7bZsVZPsJSIF7ipDb7FOTVMhd71L+8GEcv+WNd2BwkjSatgc798Qc9VaBT5fuUtXHiNW5q0w9GYW0WuaBD2JoCREaiQpdkLSljtmBsPp8tKy8lBou/JopVRtbU0yEdOdPwbd0A1D1w2fz+/1ev+74N2y5PsO5t9Xpbnd7h3YvRoAAAAAgB2FABpAJ+Wsbt45cbOI1NfXV1ZV6aEio7B0S/9df7HmL96GPE+vWi8iSkT7fomxkxVqmhYKhTRNSyaTqXA4EAgYhuGsWXYEAgFnS0BN0yylCuo/7JX+/Ltu02zNm0qlWl/LvJ1s2/Z6vR6PR0QGVD9q2IlWH1xLxazd1XvNvra250kpb/fMTJEtCXp1+eHxeNyyDJHShtKju6f+U179uoiEQ/vsVvOaVm1922tyn9La7AS1b+g/4jTHFl1ENsV213W9T/A/IspS7rgVDLoa1kf3SaakxNvaKmyvkRCRpOmrTPTpGVjl0s2cV/sEv7IDxobY3iJii8TSwbpIn++XnCsR1Te0stkr65p4XWmvq77EVy+pr1WNKJG6WEFdoqRX775b+nS3QXjjW0FvUhNVpon4f/iaLRITiX2/G6VIynRFUv66eFFBQVFpWbnH41FK5bTvcPY5NIx2vFcCAAAAAEA+EEAD6HhO7+ads0mgs4A0kUhurq21dbdRVKK73CIi3kLP7oWtnCYi8t9wVGkNtVpqS88Hu1svUSKa5kywC8v0xhqnLYjX602lUm632+12Z9JAJyu0LMswjIKCAhFRIra/wErGUpH67tqGRu9AQ9ejxSO+SA9LRpMiua2BdzhnCW1h47JQapXL3soOhOtl397qw5Ze7b3puVX9z00kEm632zTTXq83kUg4C3iDetLwuCzdF4itLq9+3RYjFugXiK3RlSUie22c95/Ecd3KrKA3qWfF0Jommtgi0iv4307TLi1doNeLSN/QV218Rq8r0Sf0dcrySpOeIZomhmZlLmVaRr27PJr2arpmmpZpmmtlUPZ8Q0sXe6q8RszQTC23VCkLhsuCYUmslYQkTdfGxtLSbn2DocLsphnhcGMw+X6msXOBb+v1OzfSRHxu0+cOdwuGRdZLZMurpq3XxwvCSX+ooLSgqMzlcum6kekcret6ZjU9q6QBAAAAADsTATSADuB00nBaauyE26VSqXgiURuJWYbLCBVrui6G3yjv3crqUGVZWjopiaie3tI42A4Viz8ktqXXbhKlbNuOxeOBQEDTNK1qg1JK13W7fHetar0mkkwmvV6viGia5vP5lFLxeNzlclmWlemc4Cx2VkqZluUyDBWuU5ZlK32j1VvM3GYUeRUMBoOJ1Y3p3QuS3wZUfeuTN7v26d3QYvosIrpKibJ8Pl8sFnOWAPt8vnA4HAqFxFdiiuy+YZ43VSUi63pPLmz4TDeSHrPOOXef2uekVkRkQ2hkUZ8yj6v5xtDbw2MktzrHZVjd/Ju6+Tc5HyoladuTsgNJ0xWNK5e3MGW5V1cXuN2lXq/X0FK9g6tiVoHPiOpi56S7Xpc5oLRS7EppFMvW6uMFaQn5C3qFa78rKN6Rz+XS7W7Bhm7BBpFN8v3WlSnTiKSCCdPjDXTz+Ip9fr/zVScihmE4OxySRwMAAAAA8ooAGsBO4ixw3mmJc2M4HDPtlOhGsEAzXOIOaSWh1n/kpWqrvC5dS8ZV1naCyuNXLrd4fOL2iFJafZVSShPRdd0XKtSUJSKapkmo2Pb4RCk7VKJHG7xer9IN7fs9BtPptNNOxOfz+f1+JWKLuKJre8XeXVd+sq5pkUjEMIymO87tBE6G3uDa3aXZHtnK2mcRSdpbWayriey1+s6wfw+luSoDvxIR27adffP2XH3n+h4TV3U/we12++Nre2x6wWuFm71I78gHyf8EEwMP9bm3fYfDHUXTxGOkbNsO+c0yv4jU2Eqrdu+esDxFnmqXxDRNUpavNtHD0MxewVUtXcfQVVmwUaRR7I1FOzR9bonHZZW6GkVEpFpMkbCkLT2cDNhGmeYpLSoqySzK1nU9s0oaAAAAAIAdiH9qAsiLnbxnoIjU1deHE6m026d7fJrLJYESaelnnG1JPKKlEmKmRSlnBWi6oNRTWq5VrVeiidtj+wLiDWxZ72wmVaBARETTVFE30Q1lppP1NT6XSylDKWVqmifaoEUblDegJWOxaNTr9WZHeW632+Px2KFi8QVjVRsG1P7TpWsbSo5e5e3lUrbTiMO27Wh0py58dsRisVAo5PF4etf906W2HkAbeptS8oL4dyKSri2sKR4djUYNwyhqWCbKKm5cFin5pYgYVszTQvrs8NpR11eLGwYeFfJufc1y29lK9K0t+Q0nvAW+H9zUtF01qX4Sre1dXCciuqa6+9eF08UeLel1xeNpdyJp2poejVnx1J5ut9tON7o8wd2DX+/AyreNUpK9xNlt2KWBiEhEZI00StrSE2lvXHXXPUWlZd0zy/OdMJr10QAAAACA7UcADWCHMU0zE2DtHLZtr1233gqV6D6/5i0UrzTfVUPZEg1ryaiWtf7atm3d5RbbEhG7fHdXPCI1FSKiynuLiITrtGijKuupNE2UkuoNmqabgUJXpM5Zx+13u5WplKbptuUREZFUKpUMh4PBoNOOw9ld0Ofzud1uFShQoeL4xtX71f91peewQmtTnWc/ETEMIxyJNK135wiFQiKi2WnnLYJAelNbzkqFBn5ndN+jdkFbJpc1fFQc/nxtrymmy19atVQTKYh+vW/064Re6LMbRSTs7lmQrmjpdEPM4pULNwy8oLSsu8frE5FkMl5fu6m7p/ktAbfKtD2r63cXEY/H1SuwyqU3v69jTvosIi7d7OH/zgj+4N0UvxH5uqqnbVsul7s4qHr7vtmo7W3bdiKRME1dTye/Se7h8bh1zVRKFxFNRNMsEekV+C5/uW5dcrdIumj34Mott2j1Rm7DdhvxAlkjIlIvlq2lLE91vHtBcY/i4pLMNGc/Q7Y0BAAAAND56brm87Yl8FRKxDBYc7MzEEAD2EbO0uZ0Or1zumpk3zcSiWysrvHs1kfTNOm+e0upmIqFjWjDD46IpolSStm2bRiGaZpG2W5afZVetd6ZYHfrnRkrpfSq9c7uiC63WxWVSXWFuNyGoW3plaFsTWl2aQ9JJUTEnYi6QoVSUKKt+1bX9YKCAjtYJIECW0QpO/D1wn1SH4rIj5MLRaQqNMoyTZdhhEIhTZSm0pa4NU2LRqM7bc14JBIJhUJieFx2fEDV3Lac8m3303fvO0BEUnLot19+MqjyMU22Uq1hJwesfzDnoJM+i0gr6bNDF2v3lbfHD5zh9NT2er2hUGGi4mtda+tnKZry1qQGZL5ck8mkiLhcrjX1vfcsXd2WK1i2pokYeu4dXbrZq7C6weonIglLbYztrUla01w+ny+ZTKZSKcuynNtlMwzju9SeTi/mkLu2xFO5zWG0EkmYwapEH13MRNL0eH0+PVLgqSvyVGbmZK69NrJP39B/Wr+goSu/nuzjXif2OqmVtGWsre/Rp9/ebrfbtu10ekte73K5nDCa9dEAAAAAOh3LFrMtMYUSpcTaqYHG/ywCaADt4OwcuJOXOTsSyWRlbV3K5XWFisQV9PYIbvUUzeNVCZdm/bdaTVQ8HjdN0+/3i4hL18yqjel02vnQLtlNGmv/O1nTlFKaprlcbk1EGmtdPr9KJSPRaEFBgYhoIsrj1WoqnE+LiNi27U0l/P0GqkRM+QLOdexkvM9394fs6uzaBlY9kFNtUgvWGv1U8aid2YgjGo0Gg8GyyEdtnO+kz4499x2eGDg0+um8bpFl+aluC01U6pO/y88udT7UdT0VGOONLWlL+GkrrTrZPxLZ0uvDMIyCgpDPCHf3t2MNtaGrpOVriJd3969zjigl6+pKexQ11Jt9lbJN08wJmjN7/TVlWZZlWYlEQkSsQFE4VaJpWnffGp8r3vaSHJpIQ6qbiNji8nhdtm3H7EAk5XN2F9xSiZZIK1+Bu6bEWxlLB116yq2n25gbuw1rz7INEtlgK219Q7eyHgP9/oCmadm/6+AsjnZ6fLe3fgAAAADY4UxTRaOpNk8mgN4ZCKABtCYSCScSCWfNsNfnd1ah7jRKqcZwuDoS0wtLNcMtxd3b9zPL5VGBAi1cl33M7/c7sbJlWbquGx6vEQipdFIFCsXlFn9QUnH5fq20aZqWZXl9PiWizHQ0GnWCRae9hogYRsxZT61pWjAYFE2zi7qJSCZ9TtVu/nHFXW1J5rwquskzxLOzwn0nQxcRt1lXWXiw16z2mTWtn5LWcrcfNAyjcP9pVfVHaV+/UBZbkb8AMpTcaJpmZou84pLSTbWhYv/Wu5dsig3I/jAQCPQNwaImTAAAIABJREFUfbUNBXiNRMBVv6G+uHdxvYhomhT6k5vie5tm2omSc2QWC7cuFos5g3i8e9Dv2j30bXsL6xFYkxlH0kUJKxg3g6Zlp9Npn88nImnlE5Fwwuv3eJJ2qa3+m4wXuGtLvJVNr9mUrqk+xVWSqLJjsjlWXrLbvl7vli+G7J1FdV2Px6KmZRYUFHo8O/VnBQAAAACg0yKABpCrsbEhXF9pmGsLPDGXrkKZF6JihrVac1D3Hn2anpVKpeLRcDKV1Oy4y6w07FpDJb163KPHLWWkVCBuFxf3P7KNNVTX1DSklRYq1N0hoyTU7Bw7XGeYac22lG050add0l2SCQkW/neSseWnnNIN5QuI2yduj2iactYv5zxCbaWnpFxE7JLdtIZq2xcylG38f/bePEqSo773/cWSe1ZVV3VX79M9S89oNEIghECAEBYgjEGAOfh6O2BjG3PAcK79bL9jG1sPLhY2XMvn2uCLjS0b9IzN9TUY+2ELCYSxQFwJDGhF0iw9S+9LdXd1VeWeGRHvj+ip6amuru5ZpJkexeevqsjIyMiszKzMb/zi+9MNoRko9FAUuHkKnEldTyAEmABCkKWAiTAs4RRgQxCoCBvblGUj2i3F8e1VvyBM02SMyZDVXO0H3ezUlqsIQCeK/2V3u0WFrhK89BcbUdg4fP9Q7ZtbNjW++1f3TH6a8O2OSAPA4shPDdOz/rCs7uuF/60tg24HnROT3kHDMOI4lnHu500UC6k+A4AQQIkAJkOqc9Jw40Iaz7KMg1WNextpCUPWZ01qJEkZ1sg5jMa7Ws3V1jxnUq5Vwl05bSWnrwKAEKga9w5Yp2QOSS4wE5Sgcx7twBj63Qr4lcXKYHnompao5xPjP9zdNW0A8BhWMxqkOW6Mlst9z/HAlUKhUCgUCoVCoVAoLiuUAK1QKAAA6rXaUmWmQKdNGutYdNPW24MQMFcvWYWRcl8ZAMIwXK0u4qyWh3ETeToODcRzzdoE1mcD1CA1IcqJlblTDxg9NziO03a2vhBicbHiYw3ZLrKLnfKdRT5qVJMgWPNiBgCAXC4XTp90HIfbuTNCsGbw8vDptQKIA4h8yJfWSpIYeavAUllb5xwaKwIQW5xmjOEo1HVdhF6WK1HBZQo5oBrv6oU0gjQBzUCRL/J5wAQ0vW1PjaGx4+Gr98Xf6rA3AOCj0knnTZjztuG0FwVN02SwNuecUooQouHMaON+DFuokMtkb4ytfnb4qtW/54+gCBUX3Vf07bsBY7y+mmla5nVvnflBMuQ93LnBsVOfPKeenyq+sau8r6Ww0NV1Ymls0B7fcnWM1vwx4jim9Pz/9XrcswKuI1ZwaC2IBcsMw7AMw2CMNSOazwPP82jOAQAOdC7cCwA6DsrWNEa8kRYpSilKKE6b5tenlruxUTZJo0uv6KRV/tZwWjLnlsKhatI/4h5GSNhaYybYj7knsI0R00mU15YNcp7nW68925iveVmPwFZXsce2bQDYvfdQbbWfRk84emLSzKRVgKpYhgYjfuoGMLhr1+4O5iQKhUKhUCgUCoVCobgiUQK0QvH8JQzDkyeODOVmdZLpCAbtNnVqoV3P+ovd/StLc0RUc97X9NBHwA0EXXButxCEYFB/BurPiBpU0746H4hE9559BwBgZnYu0m1suyjfgzu0UFuCJOIbZD5KqWmaQgjHcXix76ww5CRCtSUAACGEEBhj3lUGAMgyXJ2XaeJM0wSEAGEA7i8tAoCu64ZhgGGJLAXOYGWeISR9dYUQ0dQ4YyyXywXLi4wxgIppmmRg98bwZ0m67zXPZDddffTjG0Ku1+BAjpivzxlG09nj4uK6LqzLFyeDrBGP9zTu7bCWAHjKuO3q9P5ucRJO6/wYhC1WdjfuEY/dc8T+8T0Hr29Zq+f6n1j8vt8bPHER+7+7ei98/94McM0cS/b/xMDg2ojC3rFD/vTxjbkBWxiyj3NxFaydAtsNMJ/0rgJACPgu9ygAZJzOBmOc8935owBQDRyf5xljYRgCZAANjLHjOK7ret7WxiBtEUJkQi8Z88tRX5IkMqS6HozIc1s2K7eCgRWNRdfRuo0jJ2t7I7YXADjnp4cEOEFpjzlrknDYPSPQmySQ9iMZJ7PB/jDTwkyOGYmSPuvq53zu5Qw/Z/gAABGIEAQgLnAc5Bqsux7HA7kzduoaYV2k1gU1VnkmFageuj4M7t13QNlGKxQKhUKhUCgUCsXzASVAKxTPI4QQaZrOTI2bYr5oewhgb7FNtZTh6ZUunUQDxngvCXu1J6EO3e0DfM8HhKCoLdqicSR4xfhSjTo5KPa1j3cWAjhDtSXI0jRNm3neNE0zDEPKwdJ/tqlkoeoCIlRkaRzHhmEEQYAxNi0b7BzoplhdxKsVKUQ2fN91XU3XEQBjjBDAGLu5nCAUnC6oVZJGLUmSXC5HKRVCNDVBTdMs2wEQMuoTALhhb6Y+r/WN0M3UZwA43vuLOYAL9HDojDw+nucJIVzXPVD5mw6VQ5SvaiOD2VMvSL+yaYMAB4P/r/bYd40XvW+9jIgQ6nrpu05NTew6+RdEbMsHeZtg4G48IeCRcOaRqfrgnrEXapoemi93ky0CrhEScNq227bthGk62bpjQ874jL+fcThVP4AQ0nFEUApYWwyHy+Z0wYq8ACil+ZwdhEmWZZzzCx8/8DxfiL71EnaaptJO2nVdhJDneXIrtYZLKa1H+zDG0oK8JXdlw++TliOD9jjFbP3pSTFrGmFzgab9AyvJ0EoCANwkgUkDA/sUZRix7evDCAECgRHrdVcBVjvUxEh02Y0uOBLPHRECZurlQs/uYrF8IcHpCoVCoVAoFAqFQqG4nFHvewrFlU8URfXaUrB6stetYgQD7YxwBUCQ6Kse7dNPuNQ/mGtT58IJMmcpG1ml+/WefoSQ2b151TjA9RXGWJIkWZYBrJntAoAQgjG2Mc7Udd21nIGGAQCcc9/3XdflhR6hmwCAFqeaa8mcgVI5FUJgw+RdvQCAggbya+H8pGxHbrGpfTuOI4NMheCAUKPRoJRalnXG02MTxOapBQ/n/wsBaDoyPxt4nmdZFkLIdV0hxOjKP3WoXMP9DlQHs6e203KBz88efaD7qte0lA/uGmW7Pj7z+L0jq18//35vYNZ9+QAAQjBSmGWV2eXQwc6BEyvDe0vTnVfsMWeyrC8MwyAI5vDe0dyRLbdFEOuzJmYaQ2EYyhLXNYfdo8vR0JR/sNeaEgIQAi6waZryt2OMRVHUzMh3HjQjnTeysTzLsmzz80peI7Ztz4X7ZdtSiT69obURE4zEiHtkxt+XZBgAKg0BYCFkb/TJ0XCU15cNHFJ80fJkIgTDhQqklWwRvJSuRKVS34FcrkBIJwMehUKhUCgUCoVCoVDsLJQArVBcgQgh6vV6mqbV5dmyOW1qWR4gv4mmXAutMOI92lSJNkrtXDguuDNoMRleIteiXDcxbQDYTj4yXF9pNBoYY4yxbduIalhwAAjDECEkY0JbkHIbpVTqxZZlkVyBu6djvJOIMbbejEK6MfBCD+gmAEDoQ33ZDwJZbpqmpmnrY1oxxmmaJkkiM9phjKU8DQBotSLyJcCbqmYijduWT3a9mSMHcU4IkTt7IfLlRiilhJA0TaWKKg0cDLZpgGqCbBeWyVau0Ovp8x/MoFWABoClhZmh1f84jz53INB6AM7osF2WD/zRrcR/AAANxei0iYrneafEgS5jpctY6ryWQcJ+d34665Hnm+d507C/25xfaaCZtF/T1vRZKQ3ruq5pmuM4cHrw43z38mLSNKuhlE7zfRjjoj5Pke+zniAraDh0tVWbNEziOzRbCQu5XE4G+zf1bnkhRFHUSNMqKjjOIALhajWMUpvUdMo23/i5YWrZoLYIwWLiQyO2MtJn5YZMy77A1JEKhUKhUCgUCoVCobjkKAFaobhyYIzNzc1JyUkIQVDWZ8/qJKuFZsFqTTW2EjhpnJT1yV4SQDuFx+c9NbE7FCUOGgDspV89J10yYfpUfHVUOERsF2F8DveaNMGriwDglvuFbgJCKPIhS4FxGSbcwcZX7rvjONQtQL4o0BlDaRR4JF+ENBZxlGVZFEWWZWE3v6Y+N6oo8hHGmqZJ0RYAWjREzrl0yZDR0JZlRVGEMSaEYBFBFIC9adx4fra9FFsKnowLtwJwAJA2Dts/Tp3BGEudXdM0kzdSsysIgi3zv81oL9yTfbf5dcF9lZ6tFKOnO6xCgMWMrQ9ZTdM0efSzg+HWUcYbCfXeldIr7WDSDcarhZeUl/9jfRSu7ZxHkwAAGkl2548FWX45HgSALMtmq2bNucrVaiVjvkPouZcW1p9vvu9z3mvbRAgRRZGmac3AfHlSyayYruu6rhsEwcUdTrgQmuHSPs5RWtR1XScRF7QaD8xFRVkB4xQAUUoNw2gawkRR1EyM2QzQbgBFSDPNEgBQQnQS2bSe06oIQcq1atyHQCDEdRLbpE5xxgVq5k7cEoQgb4YApyA6tbQ6GGR5wzBKpVJzvEehUCieJ8RxfOLEiSeeeOKJJ56YnJyM43j//v233nrrS1/60s3yOXPOa7Xav/3bv91///2c85tvvvmtb31rX19fS95ghUKhUCgUiucYJUArFDseIcT01ISWTdiaV0CkaDOMOFon96xXn5d9J4qyXdb4AE6aurMQeJlf1RADGZgAiDEmvS8opUJkmoYopSeyN5TREzG3+rSjHTrTyAqT8bW4bz/WdOh8i1mZh1J/m3JN5+XhMz1bmpEqngDAGFNKm5YIbXFdVxgWFLrBr/F6FQ/sXmvJtHCj2oxodhwHysOAMQCgpdnAa0idUYZ/trSp6/pGdVjK001RjNdXcBqLQs/GLgmWDiePtjkA1rUV56UIgPKIEafpcH3hGIah63oz596e+r8eL7+LEEIpNeOZzdZKkLVefY5xwY1P2uls5235uETXqc+cc/zd/15k1XPqsG+OzPX/OCAMAGmaht0jy903A0A9/0IQgvBwePrzGve77PM/RAiBo9UdrZ5xOh+MUNcVQnhpwc+6MCTD7omUaxpujazvtWYidkAIUwqvQgg5yGHbdt5mMTOCIJCi83ohQAbjO44jhAjDUFa4TJDjKPIkRyjTNG6aprwuTudU3BZy15pfV5BDaQFjLG1wAAAAI2Rj7GqaJkc+dLRa9wUCsb93cZtb6TFnhZjNhFZd6BWrC8tRX6m8r9DVdQ47rFAoFDuWJ5544o477lhf8uSTTz755JPFYvHd7373q1/96o2r3HfffXfffXdz4PCee+6577773v72t7/zne9UeV8VCoVCoVBcQpQArVDsSKQP8tEjTw3np3XCyrR5NbeRuoSAamD7IYy5Tw4SEDYIIM9EP0qpJtvhnFNKfd9f728AANJ5oOkz24A9tm3X0jEAKOOnF7KDhJD99B4hYDEemBcvNAd3w8bbihAgBPJrKPIBgGkGTmMEwDGVwc6pWyTmhiR+guOlOSG4AJBRz/LFaUtz2CAIHIT8mVPW0G5s54UQiDO0PNe0FLBtmxCSEg0LjgADgJB6NABjTHprpGnqOI403DBNk1Kq6/pGE17LspodwxgDb3vwxYEjf9RaCDDe+8tCCAwiYyzOiI54h8jucyWOY0opQgghxBgbL79L7vjw8pcstrLZWpP6y8fSB5pfDV4zeK3zhgTAUu/bm8MIQojku5/Mb1t9fqLvPTKRozyMTXkXIRRFkcyXiBBixJ4YeXdp/h6TiqZ58XlDcTbsnthYPhfsBUAAYtg5hoA3tzLiHgWACTEWRklTSg6CICYk52RdLlqpo6bW30TuiKZptm1feHLCZ4n1qTUvvKmNxjjy9iKtsQEAgMiraTVmBX15s99xJSrn9epssA9DltNWHa1OUdZtzmEk+u1Z8GdCH1aCHDd3Dw+NIhXTp1Aorlw0TRsbG7vhhhte+9rX9vT0YIwXFxc/+9nPPvzww5/85CcPHjzY29vbrCyEeOyxxz796U9TSt/1rne99a1vBYCHHnro05/+9Be+8IUDBw7ceOONl25XFAqFQqFQPN9RArRCsZNgjPl+Y2H6maHCEkZib7FjZY5qoRXH2W77mX4CqePMsRc1+BDnPI5jxiKAM5HR2wy/bVrKejCCUOi67rHsNgFIlHtNqoEQIkvS5UUDA8OUijOCLOccEOKch96yNGLGPIPVRSEEri2hBhblIWg6ZqwspIHXWRdb78WhaZppmvKzoDrvKtu1JVicQggJTIGlCCGMsWEYlFIACBg3y31n2ir1i+XZNEkIIbZtZ1mml3pxUDcMQ+YzFABttbIwDOUqAAAYi65ySwUhxODhv8CiVZgb7/1laVRt2zYlmBDjolsGNxuUJtoGW+2cexAAdNGooX5T1HUItqnxzuvX9w/uan6t/uB/9SdT21lRAJwaepetr5mOy1GQ5kkYhqH8IWQoMSEEEFoZeDNrMEJIrzlhkPA8ZOhGUjSptzHMWTLiHom5uRr1zPhjjAMASAXfJH6XvjCaH58hY0zQMAzlkAxjbLXOXNfNuTxOWNsrKE3Ttn7lz1ukEu2BuWKNNV1iJHIQAiGkoWg26AYADlotLa8mPdJ7Rx5hjLGmaQghFCQnjj+tYz/M3F0je0zTUsF9CoXiCuPQoUMf//jHdV1vlvT39//mb/7mr//6r09NTf3VX/3V7bff3lzEGPvSl74EAO9///tf97rXyVviq1/9asMw/vAP//DOO+/83Oc+p1z1FQqFQqFQXCqUAK1QXO4IIRqNRuAt8+BU0WroCHZ1nICecbwaOEnKBsxJB7nYKB1N38QYS9M0y7KWGOfzQ9d1XdeTJGk0GqZpklIfpDGuLkhhzqQUAFCWZEIIIeI4bgkOlYkEhRDN2GqMsV2ZEYUeQAg4R5quG+bGoGNCCCFE13WBEAbwPE8IIQVKDggRKkCgNObzE2EYapqmu3mUJTIKmHMehqHUvm2CeZqApgMAjyNSq8gNranJxV7QdBH5iDNh51DQACmgb0DWl0G5ws4Dag3GTKuVPG/jNtC/er9n7rP5TBY6K8713rMTIYsQcl236P2gp9LGAEQSI7eO+wPuWkllV+3fZaGn9a7mDw3zxzroeQJgsvCW/n03NEsWH/vysP+DLXvlW6Nz/W/jYRXrXQAgbRzkGcU5b8q1zc9BEORyuSRJmgpvkgxQSqVeiTF0G/OOVt9yu0LAclROkoJpmiPu4WZ5LSnpKDC1CAEYOCro85Orw71uvZaWfd8XQjQAqnTAMAyMkK2tdncFy3FfFKXypJISedmp1/RuIYDijAlNXmvN01uxkfX2HZqm6bqOMY7j+PSwU9pcJG3ZAUCOSYRheLamTzFOxsePS+t2x3G6urps21ZitEKhuOQIIcbHx++9995qtVooFN7whjccPHjwnO5O66Xn9YXvfOc7P/axj01NTXHOm+bOQRAcO3asWCzecMMNza0ghG688cbBwcHZ2dnDhw+/+MUvvvD9UigUCoVCoTgPlACtUFymCCFWVlaq1SrnnKJo0DkFdqf6GcfLQSlgBUJokqSMsYZXZowJIS6K6AwAGGMZaByG4focZVplVopH0vYhjuPOudc2CnNSyCNhiBAyTZNTg4DIGJNCUpvMOZrBDcu28yjyEWexbtM0Ek4OrS4JAGndAFSDLEEA0gBBSpwyd5zlOKDpyK+BXwfGvDCU6pWmabx7gHkNVl+h3f2IULQ8J52hZbRmi5K+djTSzBza03ZPaa5LzCEEZ+vvKD+bfx1CqKaNEkIurj8DQohSqmkawbgUPNq9+MjGOqt4sI77jbDipvN2OtMDra7QbrroLi+GpOAX95fZ+MYWZo0b8gfe0K+deTGuVZeHat/csnsckbn+twEAtorSRJhSKt+f0zQ1TdM0zeZBblpYrg+OBoA4jtd/9f2CYfRaetZnTWJ05sRLmDEf7jZJIAAs4uX16oB9ahENu3RtSGA17q6n5SRJKM4N52bmo1EMPOU6Y0E960UIMMbSc6OpJjeAUFo0DJS3RcxsOW4RBEEUWabJLS1OuSmlVWnPEkWRkqG3pBknTil1XVemc2xZBADyCpVDX+tXX+9q3Wg0KpWKYRiWZXV3d6u8hQqF4jngjjvuuPvuu1/xilf83d/93fryhx566NZbb23e0AzDuPfee2+55ZYLHyGTfzRyOkizsFKpBEEwMjIiXcWaIIRuuOGGL3/5y5OTk0qAVigUCoVCcalQArRCcdkxOzvr+74MBnQcp2Qs5PTVzSpzjiarpUHjCMOFRpKP42izmheCTGoXRVHTgmM9TYXovLU2SqlhGAihlHPf94Xw9EIJAaOE+o16U0VqqlQcYWS5ACCcPOcc11ew4NHCjJxbiggFEFkUrg++JoQEQeA4jmU7SAhYnAqCQArlhBDTtkWxTxAqWKbHnugZQKsVnsQIY8CYMUYJ2ejR7Pt+LpezNAr1ZZHv3rhfGw1qJ/SXxoUXYoTk7rQ9nueEZVlNX2w3PpWPjpnREuGtHhrz9FAAhXL9MTNbKYhnCvDM1i2zmrH06HL3C7r5hCypkH1J8SW5vn3dhtlSOZ17dMv36aXCy1dLZwwoGWOmaSZJwhiTv0UURdIwpPnTSHzfb9El1yNj28MQvHBU13WMxJBzDCOhk3jYOboYjqzUGULuqlMetE/syp0AgJTrs/4e3/cxDhhj2LKmvD1JkmRZBrCmYxJC2iYPlGK0D0BIuL4PQRAEAKVCUnCQH5NGo4ExdhwniiLlwrFNpOnKZkulnfSWjcjTKQiCarVqWZZhGOVyWU59UCgUimeDRx55ZGJi4s/+7M/WF3qe9453vEP+bclpHHEc33bbbQ899NB11113IZuLoujv//7vAeAnfuIn1gvQ09PTANB0G1tPd3c3ANTr7WcLff3rX9/4hBOGYT6fv4jpkZ8Nmt1OkqRNsMLOQe5IlmWX+QHfkuaLQJqmFzG1ySWhxR1up3MF7It8NbgCLvbmO06SJDt6xp5MgSNTKF3qvrTnXPPAX+Y3YRlt0znO7/JHCdAKxWUBY2xqaipJkqZchRCybdvWvLbqM+Po5HJ5n/2YicOrHKiwg0vJaByHG2teCLIPCCHP857V27EMnQYADWPddRljsVezLAuBaJvDzQWAxYBzLoSglGIhZOg0APi+3/a+HIZhrqvITQd5q57vr38sthxX9AzKz4hQYblsfjKKItd1RbEX1avUoN5q+8R6QRBYloXisO1Ttjb5nfXhz/P5H0nM/c0HjQvUJQkhlmWNrnzJ2CTpXwr6UfP1I9Vv2MliHzx8HpvAwLBff7r45r5dBxw3n9/8IUmP2jiNrIcBrViHDp78RNUYWxm8LUkSXdc3/rJNU4sWad7zPIyx67odBMpmGGyc7NF1bcQ9gpHotydidpXv+whYxBwX16a8/Vxg2Y58LllvB3Gmw1s9srStUPfFSHGx14omG/t93280Gq7ryrBu/+yzTvFswzn3fd/3/Wq16jgOIWRwcHDNsV2hUCguHidOnCiVSuuDi4UQn/3sZycmJgDggx/84B/8wR9EUfSe97zn85///Cc+8YnPfOYz5y06CCHuvffeSqVy9dVX33LLLesXLSwswIawaIlMaLHZjKvbb799YwDB4OBgqVS6bJPotnDRE2lcElomeO1o2j5Z7UR2yiWwJVmWXRn7cmVc7JIOLzU7iIuVz/zZ4Fw7FkVR22iny4TLuW/bRwnQCsWlJMuyycnJNE3DMGzqWc28dghYSZ9rVhYAWYYnV4r7nMdtEl+TGweAWLiT2Y8IIcLwYv6HUUpN00zT9Ln5m2+5nyKE5ATSIAjaynwtf9i6rss3rg6PVrZtsyQOVquapq3PXmhYVlN9BgAQAkUBNQyn2COsHHAGLM0Stpl02Owerkzz0gCcDkYGgKy2clXw9ebXqfwbVqGcXqSHP9M0XTY/UvnqxkUZ6Cf0m3Yvf1XjtUO1z1/ghrqik2Lklxw337lavXRDT6OTATSB7Or5z9S1weWBN2352p1l2cYAZDneID+7rivHRdr+LvIVbkJcNeIeQQhs6oPjZIw30qJN6w6tza+2cdW8KGRZNu8P7ykcI3itY1fGw+WORgghf4V6vS5H1EZGRkzT3NFRJwqF4vJhbm7Otm0ZZSzhnN93330AkMvlPvShDyGELMu68847v/nNbz711FMyh8F5bEgI8Y1vfEOGP3/gAx9oaUS+abe1jZY1lSWUQqFQKBSKS4gSoBWKS0CSJIuLi57nJUnSDIOVKeMAQFoNIIRMQ8NICAFhqlc9rV8fNwgfdVer4mAjG95Lvlble6piP1zUuRimaRJCoii6hMKZ67phGG7zTUnaNwdB0CG8VNM0mYZR2lhjjDVdF7oJ+W7R8hKIkOgZBCEgiVBlOl2X++70cmRZ1vr4XNmyZVmQRGCtGS/yNDkw/ZfNOhnSQ2PYRMg0TZlIbTu71hapzu+q/quVtQYdN3C5Ant2V+/fD/8iSwRAYpT1uLJ+JzNsUh5FRj8nhhVMALS6VLcQnvqu84LXd+5VrtgLE1v0/LHud9lunjMWhqFpmh3sR5IkaRvs3HzZ9jxPZpyTxtxxHG8MJ0/TlAuyEI5YpDHkzM/4+1ZqaRDv5ZwLcfEH6qUmLj8LAVzs4OmBVyoyDh0ADh8+bJqmpmn9/f3yLLrUXVMoFDuYWq3muq6mac2SMAyPHz8OAB/84Afl9CwAKJfLpVLp5MmT6zMHbh8hxMMPP3zXXXe5rvuhD31oZGSkpYJ8hoyiaKPALQd0mz1p4Wd/9mc3DvZ/73vfkxOtzrWfzxnr01wbhrHTZ+VHUdRMurtzOZ3wHHRdJ+tiMnYiSZIIIeTsgR2NfOmQWdwvdV8uCOkicgVc7M0b104PhpD7InO0XOq+tOdc76iX+U14R58tTS7f46tQXHlEUbS8vCwVEPmsuf6J33Vd6fuMEDIMQ9NInkzNrToaAYHtTCtOssEszgzDAOAOmjtTAUcrAAAgAElEQVTBfhQAZMa/C49qkW4b0k73Apu6cDaLbG1LM0EcnL4vt6wrDaZjxh1Hl4vo4J5W3XkdqL7MAy+O45b3Mdd1pe8YIUSqjfL3IoRg2+WWC/raq53gfPD432qwplwLgJPln0cA52cHTCm1LCsMQ4yxqaFCdKSn8t2W3idgVbPeXv8JF87kDAzNwZnhnwJEhBBj4/9jse/HcOb77gGBECcWR1qWZZqmjZz6Gz3d1GQcAEpLDwJ0EqCjMLCf+ssOFQCgpg3ppo0xli7PGOPO04jk+3nLyIrnea7rSi8LxpjnedICe6BQy7gWMzPhFueCMUYpzWmrCTcyrs83rBW9oGkIns25S1Iu1zQNY3wyG8NYuW1cvkjPbgBoNBqGYUif6Hx+izB/hUKhaMvGIIBGo3H06FEAePOb39wsJIQQQpaXl89jE0KIBx988I//+I8B4GMf+9ju3bs31hkcHASALMs2CtDy0W6zu9yv/dqvbSx83/veRyltyWd4WSGEkBIhANi2vaPlTpkGQ9f1y1nx3w5BEMhnctM0rwC5kzF2OV8C26QpQO/0fZFewzv9YhdCNF9d5QvRpe7R+SPTgGuadtmeWueqjBuGsdlI7eWAPFt29DkDSoBWKJ4DOOdzc3NNLwuZI2t9Bdu2syzjnBuGYZuIZ1EGWAi0kgwnWcJi6f+wFg0qp1g2wAW4OGYO0m0jSZLLx1TrvK1yNU0jhGDD4nEYhqFlWc1hTF3XgTPRu2uLppMQxWHb4FyEEHbypKsnnTslM5PYtq3rOnOL2D4rxVn/0b8psJnm15j2yIwTMvx5m3snR8WlYiv7P1K7x94Q9QwAIcqT+nIvn19fONd/m587yDnnLCOETA//TFUUNUuTHWBRDBADAKV0fuAtw1Ofx2JTy+NQ6w5mpwo9fW3fJaIwsL/3USq2cC2sGmOUUinZ67reQYiXufsAQBrRrHengdMadDM4Wj5Vp2kxry315846OEHmzPtDQeDBc2jppfIN7ixOZ7AM6/W6fOgslUpdXV2Xul8KhWIn0d/fL7MKN1/Cv/CFLwghhoaGent7Wyqfh3QihHjggQfuuuuufD5/++2379mzp221Xbt2AYDneWmatoRtTk5OAkCxWDzXTSsUCoVCoVBcLJQArVA8i0xMTMRxjID1WlMFK0m4uRQPN/VHGQqq46DbPBVnWqVh9+njDq3PkJcLIBdo1LAdTNOklAZBcMXY1Ep13iVEhu0gjKVeKQBEqY8JaA17blRR6CVJIl/VZBaFDgIx7uoGhDRNk0bSWbEPU61lFHLg8F/m2dz6koyDECIMw/X20x0wTZNzrmnacOUfTVEHAIZMKtrrpyEq0Poi5a1LSyv/Wag9OdH3Nmk/spTlAdjGObae53G7m2MDszaauwB8Un/Vrsf/Kff4dwAgo1Z1z832K3/SctYEd99r5B75+JbqMwD4WllHyDCMLbNXO45Tmr+nlJysGFd3o8nj5V/Y8vzMsizSypUoF0cx0gp5fTmnrVok2OlDxIrnDOkw7nne6uqqbduapqmYaIVCsU0OHTr04IMPPvroo6961asAoFar/fZv/zYAjI6Ortd8pTtBLpc7p8al+vwnf/Inruvecccdm6nPAFAoFHp7e2dmZqrVan9/f7M8juOHH34YAMbGxs511xQKhUKhUCguFkqAViguPkKI4+NH+8xjfRqH0zM/UkaW4pFGo2GaZi7nEhGWrZlTK+W8djJHZnMAPS4ssBcushs9z8PYlzEy0qh0M5fb80ZO+blidOf1EEIAIUEoz6LQ9wGg0WhgjG2YE+WhM/VCDzWq8gig08JomqabCcQYYyEEWZrl5WFeHga/Dk6+Rd0UQpSP/L8t6jMATHW9mWeZ67pyuuiWu0ApPVD5m7NKNlGfBQDzE3OD+gwAUyM/BwAaQmmadgj+dRzH9o6TDeqzADhZfMPIdz43Al88040sLB/7Ghz72vzYj5Zf/wsT408fmP3MlrsDALPOy/TCoDQ3BwBCSAchXghRTE4KgDxeCrTRjRXCMMzlcusTTjLGPJ+nhjmSn58LuyeXHNftAwCThtDOS1qh2Ij0fZMz7xhj8/Pzi7NHCqVdPeW+K8NzTaFQPEvcfPPNX/va1975zne+973vveaaaz7xiU/IP7uf/umfXj//t1ar1ev13t7e7d9ShBD33HPP3/7t3yKEPvzhD3dQnwHANM0DBw58+9vf/tSnPvXhD39YzgBjjP35n/95kiTDw8NtjTsUCoVCoVAonhuUAK1QXEx831uYenwwvzy8wQopYg4AOLZNeN1MF4at45DBtfmj6+v0kicAYKCwCAAVfg03LcbxeqHtwrFtGyF0+bhtnAcy79z6EsMw0jSllOqGKfIl5FW92qqso+t6kiSUUm5YZ174OIcoAADXdQVCSZqFYSg16M02yjlHCGVZtiY6O62hkUKIwrF/6manWspDVGjagGwZ0i7HGxDbllmEAJjlBwbT77VdOjb+PzJiL/a81s8daFvBtm2MoH/x3lzjcMuigHZ7y/rIkc9ttun+8a9N2MUD7MHtdDLBuUb3y6IgkC6ZUsrf+CM24ZynJD9rXTeS/WCy8JqN8rE0sWnJUihdoWf8fQTiYg5zxPwg9TLW9K5RKDrTcqe1LAvjXHW1nvmnaj4Z3XeNZdmXqm8KheJy5gMf+MA///M/P/LII7/7u7/bLLzxxht/5Vd+Zb3WfOrUqfn5+Ztuumn7AvQPf/jDu+++O0mSn/mZn1lcXFxcPMtpyjTN66+/vunpgTH+pV/6pfHx8ccff/wjH/nIa1/7WgB47LHHHnjgga6urjvuuGNHG6cqFAqFQqHY6SgBWqG4CCRJUpk75qIJg2aDZyuTQoCXGPU4n2Rm2TzSTcc3aQMAIMjyZfLDUHQv8hdGKYmii2bB0cwx2NbdeGfhOI58efN9X9M0ahiCGgQBMmzUWIHaUsPzEEKO4yDDQmnMGCOEkDjgogjyra8yLUr9oK05GusAaW2F+TXXdZsilGmajLFm1LmmaTJFTFsJSnBWHP9iX/rMxkXHjR8h23ZTiaKIUrp/+e+2U/kkvXHP8tc2WyoAT+x+twCsZfVcrtDcL+mL7XjHBk58ud1aaMK4afiJL5W27Gp+CKpb1BEA47t/NU1TYMy2bWmEnWVZB58TGSwW4K7R7HvHen4x3OR03eglAgBpmsrfyzRNSgkhFyE5p+J5S/OabYBmGMbExKRDVxHNlQf2Gcblm59EoVA89xSLxQceeOA3fuM3/vqv/1qWvOUtb7n77rtb0h/dc889cRwPDAxsX4Cem5uTQ+P/8A//sHFpb2/vpz71qfWyck9Pz0c/+tHf+Z3fefzxxx9//HFZaFnW7//+75dKW/6xKxQKhUKhUDyLKAFaobggFubnuPdM0fa6z06yWo9MP9YcWOzW56vsjYCBo3SFX2VA3cVrASwCoMr2xpA3UbXORyPuCCF4ytM0ZSwFuDiGG1J6Zozt6Kjn9XieJ2fKG9192C1A800uiXi+B9UqrutmCEPPoEBICGH5dUEpNx0AwJVpgTAQAnCWAKoVSij210dAa5qGMdY0LQgChJBpmlEUWaPto4mt4/e3VZ8BAGG0HfVZ0zSEkAu1kcoXtnMQJrXr9yxtqj4DAAK+7/ifyc9Hyj81LBZ8Z0xLq/2T9xLWvj8xyXlLxvDil7bc+smX/BIZe8nRY96B1X/rUO34nl8DIYQQuq4zxsIwdF13s6MhLdFLte8uxCPz5TctYhwEQQenDs/zpKi9scHnJt+g4vlDHMdxHAdI13Xhn5oQgnUViv0DA5e6XwqF4nIhl8vdddddf/qnf1qtVvP5fFsH+Z/8yZ98y1ve0t3dvf1mx8bGfu7nfm6zpbZtbwxq7u3tveuuu44cOXLs2DEhxJ49ew4ePNiSk1ChUCgUCoXiuUcJ0ArF+ZAkydzUMyV9ukAYnI6J9WJjxXfK9LhDG2Wclk8/7Q/j/7PIXzBoPGOjFYQEANT5YIVfGyVcGjukaUEIAXCRBWKMsWVZaZpeMdIzxtg0TYQQQkh0D+KW9y7dBMZEzyCqLWtZAkszLFdCpi3cQrMKK5SRfvqHCRpgn5ULSAYrxXEMAEmSILdLeKuu6yKEWLEfJxFql9SOReFo8p3N+jwSPTTf8+NxHG/m70EIIYQYhtG3+u/55GTnI5CBPlf8sdLoi7qyDJb+o3PlJldV/hEAykvf7FBnyT6Ue+KhAtvaonrmqtuyF7wWAbCxV9efeDSfzGysM154A5QOAgBCSKZ2lOWbhX0RQmzb3jv5FxXrmqvFvYftn4+iaMuEjXJswHGcK+YMVzzHEELaRtO3RXrxx3FsWdb8wkJ1dZVSUi73dnV1PaudVCgUOwXHcRxngwXbaa655ppzbXDv3r179+4917UIIYcOHTp06NC5rqhQKBQKhULx7KEEaIXi3JiaPOXww5aW9FkAAJzDqZVyN53sNha6EetuZ9Bg4dVR/G0AWGAvaogBLnAQBJxfNHuNtriumyTJFSPMSduNLMugPCQQAryZj6FAS3NCCMBYdA8gTNDSLFBNdPWgygwIgRACTIRpI85R5CecUXdNPBKmww1bq1WkQUQcx67mi6G9sDiVZRmmlFK37SbLJ/+xQ88Xu14XhmEHLwjGmG2ZY4t/g6CT3nrMuW1w7HpCae+zkA/tZOF1w//5v1raFQjPvuQXep/8ohbXm4XLgy8JXv6zUkdGCE1f9Z5DT/63ltbGR94HxMiyjDHWIrtHUdRW8rMsq69yLwZW0Q/0x0f640em8LXb6fmWIrVCsRmUUsuybFoLsoIQYvvJKmUaTILSjOPFxcWFhQWM2P4DSutRKBQKhUKhUCgUivYoAVqh2BZJkpw49uju4kKZAuNoxXcaITngPooQXO0e77AiF7jCDtbE7jRN4zgGeNYtmF3XZYxtX0y5zLEsixASA9Z7h7bOniO4KPaBpgsAYBmuTAsAke9Gi9PNA4Ixxr6XZRlCyAXgpwVoyJcwgOjdZacpVBcQiDhJ0fRxbXhfm7Dn06TVSpl3ClsOw9B0e9ZHAbdg2/b+ymc6tMABze5670jf4PpCSrVVc09XtEXE9HY4UXj9yH/+/cbymVf9alYY0L5/Rn2Ocn3VH/2N9To1Np05+/qB4JFmyfieX5Mf4jiWWQfXk6apNNfeWG5HUwBQTCYAoBQ8sVR+2XbO4ZZUhApFZ6SdDuecUur7fqPRiDTDMARCiFJ6TqbhQ85Zd/5odnym1j2053rDMLdv8KpQKBQKhUKhUCgUzweUAK1QdIIxtjg3YWRHTS3psY2pJafHmO7SVmwKkNtiXQFwPHtDxlAQBADnqZFJdz/bttM07exsK70Isiy7YvQ40zSpYYhcSeimvs116JmKPA7BKYDlQqO6XvzlnEthdC14lmeAz74Tahr0DgshzKUZbrRNOriG4Pzq2b/q3KMc9lZDZ7Np/pZl7ard12F1D/fAtb9SPjuRkYS85L3ZQx+mIu7cgc5U7ENt1WcAGPr2J6du/b3mVwFo8sf/+0Ytvjr6xoFnzgjQWZZlWSaTARqGIf1Mzuo2IRuVPk3TBCIgoBw/DToAgOM9FZK9ne0RpDH3FnuoUJwGIeS67rBzBCMRZE6gFbzU9X2fc27blm1iQHYUZ5uNFbUgBJKWSk2GCsuwcv9qqoVkf9/Ano3erAqF4somCILvfe97Tz75ZLXaKUvv7/3e7+F2jl4KhUKhUCgUVzBKgFYo2lNdWa5XnnKNMA41EH6XMWkh6G7vwdAGDvh49kYAYNsw1W0BY2wYBqVrlydjLMsyTdOkQ3Gj0di4im3bnPMrRnrWdV03TNE9IC7gDQ3bOYgDVJkOgmBjKK6EMUaW5wWhotgL6OxtIcTLw503QSceJlvlihzxv5H0vluGA5umeToQHgCAUtoXP+5kc5utWyND+oves9lrqmFa0U2/n/7grmI43rkPm5Fg233q+5stRYKP3H9H8+vhN9+p0XU6uBCAEABgtytDJhURAIjT+rJpmkKItvGkQoiNAnSSJDHtoklIeST/mNxkouru7yBAy8vhnEJWFc9zhBCNRmNKHNjlHrOpb1O/24JFOhJzO8sy10h6rZPcQTP+/ihOO8vQsp2R3JGNiywtteDpdOHpaa/Y1fuCQlfxWdshhUJxuXD48OGPfOQjX/ziF7fzr/TBD35QCdAKhUKhUCiebygBWqE4C8bY1MR46K0U6WxZW7J4UFqXOVwIdIq9dpR8A6M2zrMMNAJpLHKT7ObT6hwQQnK5XFvVuAU5N1wGzcVxHEWRzCIot0xZJSNlznlLa7ZtCyGC4Fl39nhuoJSalsWLvYJuN+h5M1B9GaIgiqLN1GcACILAtm1kOhBHiGXCOZ22Po6i+Ulz9ECH9rPayu5DN/Pv/zuGTdsHAACRJvFw9N0555UIoeboghCimBwr+Y9utloD9+ov+uXO76i6Yeqv/K8r9Zo//h/l+iMmq3XsyRoB7VkpXKePvpIgXHjm/dtZZfzG92s9A2tfspRU51mhF06nc/T0/q74FAAggDAMbdtuNBqbhSfHcbxxp5Ikme17u5ZWBxf+hQBb0A4tkP2WYWCM4zheb/RsmibGWKrY208fp1A08TxvCvaP5o4AAALosycBIGHGXLA7SqmpZf3W8Wm2t0WAluezZVny7E3T1A+CCh0oW5sOIPW5VQgeXFnVfbRveGRM+XIoFFcqU1NTV199tfws/+LV9a5QKBQKhULRghKgFYo1liqVyuzRUfuHIyRAm0Q6C8Bd6ESL+rzMxlbEVYwxQsgQfniGv6LRaBiGoet6FEXSi6Azuq4bhgEA0rtZahzS+xgALBLk0aQOqzO8BwBkIC3GOEkSTdOaHh1XgAZtWRbOF4VTuCjvbYLzNEk6xCLZto0QitLMsHO4tiyK5bUFtWWchFrz6yZ0aRgABBDoKEAjgEOrnwOArvjodOHHAn2IUhqGYT873Bv8YLO1IpSj171/mxFSbr7gXv82gLfFQqRJvHTisVz1B93h0TOtkUKodVeda/KjL7JzXZRqvQAAIIQ4esN7KU8Mb8GpnsovHcaCA4BAaGH3LV5pjJVHUHEAEYrImT8LEdQRQkLTmz9TQLq74JT8vMd7YMF+Uy6X20z355xrmrbxuvA8D0BLh38xChqWk9cZC8PQNE1N05qTAAAgyzIRVjjR+91lL81j3Ht6XYViu3ieN4kOjLhnrhGdxKOnw5k1wrqtJSG6wzAEAEKIYRiEEFPnTNB+64ROkozTetLjZV1TnjvonCBo07EQW09seCacObwc9Q7tfakKe1Qorjw++tGPAkChUPjoRz9600039ff3y4e6zVD+PAqFQqFQKJ6HKAFaoQDO+fGnv73P+kH3VrbOGLEiaU37RlGCRTKoPWqjpRPsdTbMuXlRZ07nqGdp2QwADl4MRA4AhBAY41wuN0a+EoncNL95jHwFkEAAibBm2Cv2068AACAAAePsNtNcS3UlZW7DMDRNQwhtJ9r6MsR1XdE9CBfyVrY4hU/7ZqDFKSFE50n0cRxrTs7sGwEAUeqThagyncSxYRjYLXTeWsYFACTYsfjqNjs4WPtahqyJ8s9e432BiE37xoDA9f83Pvf4KYSQbpiDV78c4OXx6ahhhBAGcACcsysLIY6vhvgFr+YAIUAIsNT0xQaQp1bbHwPlu7M0Wh/etX5fXP/4AgAA+L7fsqJMGGjb9sZFTZIk0Qw7rC2Opt89btwilWXLsorBE1U6aqEacvYZCBLgGHOP9XHOwjDEGHeIc1coXNcFAMYY5zxJEiFEo+FPwlUOWeq2ljfWz+tVBGI2LWRZxhjDGBeNhUZcGHYOLwV9vc4CxVnJnC/BvGgzGaYNGIuyvRDO3gPF18o7v0KhuGL49re/bRjGv/7rv958882Xui8KhUKhaIMQ23xkWwOdfhtSKBQXESVAK57XZFk2dfyx3dqDY51SzW1BAU8W8KT8rEPgi/7ADzj3AUDqYtJ4oWkXYJqmoYksrh/QvnksfZPPeymKLTEzoD3TbNNC9T3ovmaGKx2Fe+g3zmwSwX56z7HsNs/zXNeVAdTyP3InxkFjjG3HET1DcL5/84LzcOq4tWsfQ4hVZjXBthMSa9s26+4/00iWkOqi1JsAAG0VqEgwAMC0+5r99X/eZj8xcF34+xf/ukOdFFnZi3/7PNTnFrZ8Zjo2v0QL3Z3XEkIAY4hSIQRCiC5NA0DWMwyaeaYOZ73hk82vAW1ts9kyQqh5om5WxzAMr1G/tvalSfdV14VfOGHdUkDzhXT5ZP6NGsKN0OGe74FDCJmoFShdM585x0dKxZUJIcR1dAoxIEAgUm5xIASlTBCMGON4OHcy5TYHshr3CKCNRiOzio20G2MMQrQYOuf01bxTqNaREMLzPN93HMdgQjM05md5m9TliXxOVyrBgq/++1L4CtfNdb4WFArFDuL48eN9fX0vfelLL3VHFAqFQtGegPHFYOt5yRIdo0HnQt0gFQrFRpQArXg+ItOj1WurxsqXd2v1C28wFeYyv6ohhgHAQKvI6ZKCnVyaZZmcyo0Q0nVdo3gfve9kdBAA9mtf2axNuvmcbgDggnDOZSSdnNMdBIFhGDvRFddxHE51UV1Apf6ta7cja6zao/uT1SUjCZMoirdKAZTLrYWcr2XSS2O8WknTNIgi2PbcWMe2ASDfMwIX4QxaI0Zu+sL/S3v2J+lPTE3R7qEtqyGEgFLgDCEMWSKEyHLdLZqZCBrrS5ys0r30zUrp5vVRyaZp5tOZ0vS/TA+9o60pDSFEeqCHvndd9W8BYI/3QKN0YAx9Z8p83Sp5JRIiDMNmgzIotXOEu+L5BmOMc9LnTnXQdXXSEAAmDqpJL8kbOg5y+oqO47a2/gP2BEbDNV9L01TK0FNsNG/6taR7GQZH3MPn0UmMwEkeXl15cVepDABNGyWFQrFz0XVdevVc6o4oFAqFoj1CQMq3G7CiAgQUimcJJUArnl9wzrMs45wvTD+1C30LXaQrgKCkiI7ryCvi4wvsWhuWAugLMitJEqkIm6apUQJIABAsQgDYc17iRROf90jLjmaJbds70QnXcZwkSVCakt7h81hdcI4w1golANC7emBxajsJ6KVLieu6ZHlWOnVgjKPT6rPM69i5BeY37J4CAHSVulcndnWxqfPofAvzxnX5Qz+uPSdqVNbV1/nRKl1ZNDSK4yArDdCVuSRJOOfEspDZOllAiFbvi2LjsdWuG5iuy0NqWdbA6jcLjR8mWr5/6b6pwus2bk4IYVnW6PRndREAwKz14sHwUQAMABHp45xjjG3LEuvsntM0dRyng5uH4nlIFMeJbRqkTfbLJghAI0mvNb2dBvusaYsUZ6quHPwIw1AIu2DVt0o92gkE0AWPLswf6usfTtM0TVNCiMpaplDsXA4ePLiwsJAkidKgFQqFQqFQKDZDJcNRPF/gnEdRJHW05VPfGsHfuogv+xi4gb0SPs4FDUVPJRmt+lhmCyzmUC6X0zQKCPegw4P4P/dp39i6xY7E3J3JXrw+bo5z7vv+TjQi8H0/yzKSLwLVzmN1hHE4Nyl3nIXBNgPAc7mczJLneZ7neUmSSKkUANby420Vg4yzM7G35nW/PGnddB6dbyIApvvfWbz27c9NLKQQAvCmG2KhDwBaqRfHQQqYrC7IC8cwLVYagA1WyyRXmrdf3FK4Z+qvh6tfdxzHMfDu+X/INZ5Z6rlBK1kVPNJ2H6W6p4kAAJYKrwjKNwHAdHbVSf6SoeA+zKNe7xsl/9tIZK7r5nI5y7IAgDFGqRpGVZwhTdPp+lA17rmIbTaS4nrX5iiKFldJI+2a9ffOBbvrSfH8mu3Tn56ePCE/M8biOI7jeCfewxUKxS233LK8vPz0009f6o4oFAqFQqFQXL4oAVpx5dOUnuXXxYW5Ae2pi7sJAWiGvWw8+7Fjya0JNymlA25F1ynGKAMXAADQPvLVIjnl4MqFb26S/0hTxWOMibPdCXYcluOC23V+6+LKtNHdF06fAABi2dsUcBuNRqPRCIJgo9wTRZGmaaydTcR6UKH7pJc2PA8AEEJ917zBf9H/M154e4C2SF24kWPW64PrPlQePnCuK543K9UqQkhscsIQywEAUpkSAFQwkWVpmmqaliZxMjWeTI+TpdbQ0eWhWze2k/OPHpj4s+H5L83mXiZ6+3SdHDN/qtdZtquPyYxwLTDG6vZBDmTJeZERzQPAnvDBPfVvLNHrE04XndfoQW334v8Ow7DRaERRlMvllH2BYiNRFNWT9kbk50fZmmmZbiLtOKr1uFrPZqrulHfg/GTjIWd85tSZPyMhhJShL7jLCoXiOeW3fuu3isXi+973vpmZGTWMpFAoFAqFQtEWFTumuGIRQjDG1hsyrFaXurwv7yJxW2OnRta9CNfvo/dvfxNckATsyexmuSHDwHkyPUifWGTX1MRuAEDARskDGuo0H/ycmMhuTiC/voQQEgTBDlWfc7mcEAI443OnAICYtij0bBl9vIYQPMtEz1A0fcLsGwYAtDRzUUxI0jQVtrtlJxAhy8J0T5t9U03btf86gOuOnRzft/w5DJ1eQQUAB+144W2j+68dufAenyOlYnE14FtmWcy6erXVRRlU3hy/0TSNFVrDS0lXb0TyJjtjhi0AluxrdBd3oYV+PHvS/EnOeRzHFPx+a6leDSPrJRvNUio9txYmD1NKB+f/TQCYvA4AkVaOPS+OY97zJgqZCFMAEEJIHxXHcZRgp9iIuHj+fTqJR3NHJvjuMEYtcyyEEEKIesOf4AcsGvZaneynN4IQDOVnFibC3pGXNP03hBByQoau6/jZt4NXKBQXTqFQuPfee2+77baXvexl73jHO37+539+dHS0wwQd0zSV5Y5CoVAoFIrnG0qAVlyBCCHSNF2vydaqFde7t4/4sEm45LHstjHylRzaWn0WAoWitChemHALABBCQg3MNTMAACAASURBVPACmR0wf8gFmWKvOpq+yYSlvfSrBG1tRgwAQkAizJSbDlnt/D4iBIpFbn0dGfu8ExMPSqSGeIYwdJII+rYnyS7PUcEDJsyBEUw1WJkPLlh9lgbQnPM4zbZ1c0R4owvEyJ6xZPd/m5s6kat930lnTF5rLkqQHeNCpes1vUN7dF0fvcDuni8Ioe6k5s89CgCxsHn/NQAARMP6GfNK1jNMl2cAQFrTypAuQojhuEwzN7Y5UXrjVZX/DQAMabO5G/vMqV60Fuw/a94CANJeoKYf7Il/kOl6D5+pkMH1py4hBPEEAMYm/ycALBqH+rIjIA1DABBCTbvnZn8AIAxD13V3ovu54tnD87wZNDbsjl/ENkcLp+b83Y0Qt82i6fu+D+AnY5TSkjHraPXta0t9uZWlqe9073p5iyAlR31UmL9Ccflz++23/9Ef/ZH8fOedd955552d66dpqvyjFAqFQqFQPN9QTz+KKwohRJZl61WtOI6Sua/26rObSc+S/fSejs2imthlovose0mcUc65rusEQiOdjJhxVW5tDjUHfYR+q3NyqpBZTBiZ0FNhJMYBapbyhRLGOPE9t/a5znt3LP1RhM9SKHzfd123VcbdyaRpqgkBWynxeGlGfsSanjVqhmCx7114GLg8c8Iw1AfK219l42skQmhwZB/APgBIzl5kAJxPssWLyuLEk8PRvah5RSw9CAA+LwDAAroqKF5LckVAKOseJMuzGMC2bd/3dV03DIPZ+bZtit03zAQnMiM3qj01AkdbFjYaawJxnezuQ99xcGPevAHCtZkBtm1jjGnW6K1+s7lORAqQQQYaxth13TRN0f/P3ptHWZbV9Z6/vfeZhzvFPGVEzpk1UUVRBVRRDDKLSxvRRkstV9PCA/stkYfL7nbZbzXay6XV2L5eLpYtCgIiLhXK51N4IghaQAE1UnNlVGYMGfN4hzNPe/cfO/PWzRs3btyIjMiIyNyfP3JlnNjnnH3GuPe7v/v7QwhjjDHOsgxjHEURLygaRZGqqk0PvuAGp+aGa1J/l7bY8reUAd6++3DAnCpp+qJ/ZLPA/SAIJElah8H1aHDEfKlzg2O35VTmv5cxi5gjumE11jHjVQqFDC0QCAQCgUAgEAgONUKAFlwnbHQ9M8aW586NoH9Dyg7z+FKmrtCbXDYQx4miKHwhhnBUe1LHFQQMZJhI3rKUkT7yDADIyN+8ezAfndJ6XmPZeQwgA+iNO0oSY/0r7SXyheAII5hRihDiRrkkSUzT9P1Nd3oYSZJEXp5Buslym6a4JnMTkiTFSaoMH1PcCgrcXSzAmGWZYRhxHBNV37o1QJplh6vm/fLED0aShzcuN3EVAI7Bo1B5lFVgnp52c3chxgAhngPA1V4cLchWnm5I4QCA2tmfKc59bTE7MYBeblwu0UvOZcuyEELj2vsxxkmSGIbhOI5t26NznwOayCwCAAYwo7/enH8p6R+e9NUx599L1R9M45s37k6WZdM0+bPgeZ4kSYZh8OCdIAiu8iwJDjuMMT+1NnuJdKI++7FiKE3jR6CSYNQ+tyoPVgO9Xrm0kTRNwzC0je32Fwq6v+qivuBvIYCUEi8rhqgnlE/YdsG0LC5DY4zrf4kEAsHB4X3ve9+JEyc6by/SdQQCgUAgENyACAFacOiZn5sBYJZdiOO4Wl5W6FoeTSjYV1F0BO9ElIyYtZDdmTCz7sNVFKUffqATR0Jx00NzTP52+625aa6m3lvsHunexL9GKZWWvqiSdjnRPiu58q0sy+omOMaYLMtRFF1nrk/GmOd5BmM4iQEAEGKSDA1iNE1iKHQjK686ZbQ657nunhT8cdbB7qic4Fq5bBrbV5v2ibXl+ZbqcyMR2GvKbSHupYCQkUOhhxkFAEopH+DBvoNyXRtd6sniTG/0/JT8+vP0tRJOLbJeTnqP4SdGwm8m1k+5rstjNEzDCMNQ0zRKqWVZAGyy53096bMaq8xEp0de/Puh+L8CQDRZ6r7zqJe9vVLtt2Rr4xhDkiSMMVVVeTQHV+j4r1RVPaTB0LquE0L4eb7+nu5rTEYvSTx+mjOkWvvGGyGYVcldyHs+pzUP8nVr80VFmpWOt0xASpJkvQpxdlojfp8x0/irBW+UAunVZ2XcLG0DQLflTdfuGFWeknCWx6t5WAX2ItSAVVFE9ZjpEbNjKMaoMDR6RlVbJOEIBIJ94e6777777rv3uxcCgUAgEAgEBxohQAsOMeXyurb6dwPEBwCIAAC6CLT3EW9GNTuyzG4GQPXKVWry8og+fj77ccZARoElrW1rxnZG8bh399jJ22RMNrXyAgDA3IUfnjDbqc9L4VBNug0AGqdgX982zzAM6WVnt6qqxMghSQYAYIytziuSlNbWW9oPr54oigzDIAhl85Okqx+28kGHh0foZIz1r/9V+9JsDNC09uOUUsRQUFm3bZtqVupW6sKo7/tRFOmRzzSzad3u4BkC2fHku/PozKAxBwDd8gJjUgoqQsg0TQAwTRMY01QVAAaS766lA16WO6Y8V5GOwnPnjle/DwBe95nysXf0P/WZID65Eh8HBQFjhBBFUXjoeX2Pmqa1TH9WFOXQCdCSJHFRvn5Euq4DwHX8mO81jDE3yTuBlOAegEGC4iFzovPVVSlR0scq+p1lADt9UiJXjH8QnB6xzsXGpokcruu6AEF6SibZkHmBL+w3pimQOe84AMrJq7Wka8CYahSj+3O1l9buPmM+2rgphJhGfA18gDWAKQBgs9++GN40fPbtwkcpEAgEAoFAIBAIDgVCgBYcSjzPTWa/XJDLO5ObOYwhhFglG12hNxMUq7Aesa5c9qM+bQ7g0sNxUvraNjYIEGfGdPq6oZHjkiQd62CVMAxOmD/arHsx1Saj2xTw+uGHU8mdsqQQBEEQpGlH5Q0PL/UoFV3Xcb6LIcQYQwihldlwj/W4LMscx0EIybIsVVfTfA9p6zTUD48Psbq+1Ic2dYtnIGegRKTEM164oJZlGQIGxT6QVVib53kvjDFaXpZULSsNNG6hn73I/1NiM2vxUJeyAAAIgQxhEgcIy0mSqIoiZeUUWTRYWjLfwBRUYvNOXOj93l8wgKVb7ndKp3zfBwrxvf+rNvsi9CLuvJYkKcsyWZYb99iyHBwAuK5rmma9aOGBBWMsSZKiKHw8qUlM54HC3M3dWHexjqZpezQMc33g+/60bxmGgShFCOmSM1PuGS6sVCM7p3qMIYIvmZeTTKaMqFLzyUQIiuyJ2dpIYfRtMzNTA8YFCdPG3/JEjppaqsQ9rts6CIgBWo96SuoKX4VAdsQaB4Ao1QvqWjXuqsWlAWNSwpfe6ke71s6vveqE+XSbQ0MIRvQXYOqFl71XHz17jyTJbRoLBAKBQCAQCAQCwb4jBGjBIcNxasHs13vUWdj+N+4oUwHLFTqGgFbZUcaYFE0es14skOlXGm1/s4xBLe0uS3f29o8SQka3sSIzVv8KLjvYMkbctOBkxXV8iuimZBfQ2iJRaAbdC8oZBceYZjfUlHyEEC71gaojAJalaRTutcrCy9wZhgEAlNJYUiVli4Tnwf6+Pe7UrlFdmezb3P48ob8vDEOgkLqurutxHNu2zRDOrKK0OpuWBmi+2wLGRdIwDHEca6rBzMagkktb18DTovHx5A2nzKcBwMvsEfzEArk3CII4jm27pNElTx90XE9RFE8d0irrk2/8PzIgURRll53vruu6+ghcWWAziiLTNLkgy8NwWzqduVHatu0DWJ9T1/UsyxRFoZQmSRLHcRy3SGPgpGnKs60BgBDCU0f44VuWRSk9vGEj14x6Sn6i2oqizHglBQc1byhJEkmSbLmSV1cwosvhSBbK/fqUQprP53BuJl2ds6zbSfGtC3Pne7UpcmW4U05Zzynrq6TfTXK+7zfK0EEQFGypqK5s7JgqBQCQV9byylrTr0a63JnyqRF9fONaTZwwn2QXn7yY3Dl4/PVChhYIDhSXQqvENAWBQCAQCAQCABACtOAQ4XmuO/P1XuWitc2ibzEzqnSMoMhhg3GWw5AMk+/3ohcAdiI312EMVuKRxHp1sdSnETKw9RrNLEz8QENDDh6K1H6imUS7lPagAgBjaGWWF1ijpX5UWYE0oQCEkBvny4xpWayegIGw7FX21NPKS+QlSeI4DsbYNE05CbPFaTIwttkqydoSGd7Bld8fTFRt81tevo9/YeaaXRRFJ7Ovj6fvht4xAGCK1qismabJAidrEKBX4UgfXIoaiHBhAE9fRG8KoYhkhFjKFW2HAwaADwBxHKdpCv23ep5HaUdCqud5pmmGYdj+ZqCUep7HpdsDVaiTEMIYa5kc0pImj7NpmoQQQgjX1gkhlmUlSXLdy9D81YcxTtN0Z+NwURTFcSzLMpU1jJksy47juCCtq2OKIhWVZUN25ryTBCX9xiRBtHFdidAiPFmZN3PFV4F2bHn+uR5jqSkFvVtf7NIW1+RBJ36lNiyltFxL4ux0QV3OK+XOe9tbzObKx4b0rTNDEMCI/ASdfnIO7h089hq0IZxdIBBcGxhjjz766EMPPfToo4++8MILy8vLANDV1XXzzTfffffd733ve++555797qNAIBAIBALBviEEaMEhII7jyuTXeuRJQ9nGWgxgMbvDZYMAFAD3omcGyWMyutoZ64zBXHRKLb3KypXyO9WCGWMTy+tk8LXc+rjxsNDqHEKImnkwbMgyRDOEcZZlWZa18UteT1iWBUQCrwZmDlbmQNGCK62Fu4umaY1eVEopF/hs26abrzXcVdij/lx7KE0NwwjDsB7wEscxkjFSdLw6ixHKsgw13PCO46iq2vgAzMt39CUXAGDK+qmE5KIozoLMMJDjOJIkpWna8tallKZpWg9d6ayrtBMJUpIkxhjZpPjnfuG6rmVZpmn6O7qf+Vp1kTHLMtd1McaWZbU3Ux9qLMvi5f7SNMUY27ZNKWWMNVae7ATG2MazFEVRFEUetk2zHwBcP52Mxiwt6zemm1Yv6B4LH1kqH+kfeVUcR2vzzw7k1hsbIATd+nxJQ0vykSCWeX43H29I01I17uvXJxTS6TXqKqCl6mifdkU3MiYT1OKQMWKD8N1s4vtz6K2jx27ucBcCgWC3iOP4N37jN/74j/+4afna2trDDz/88MMPf/KTn/zABz7wqU99StMOTXKXQCAQCAQCwS4iBGjBgSbLsvmXvzUkP9fTmVV5lZ5JY9eRXhXHsaIoQ/iRfvwjtHnubeesx71ldqJ38IysKD1XZzFjjE2UHZIrbtoiChBApurIsAEgW53HGAEApfSgqWl7hKqqTLMgcEDRACCWFDXy9zR+pGWWrmEYtHtos1VSp6L3lvauS7vOIHumTQXCPvbiCtzaKIkSQjBLUb4bry/y8oNNqyiKEs9PyLJM7S6mGVKxF5YBAGKc8y7n4fJ/26eWS5LUMuN4M4IgMAxjS18zz4zu3Gt8zeBHurNKiY1ntQ4vXShJ0qFIvt4BjUMOPKWd/78eRXL1Jnd+DjVN03UtTbO1ahTT04PGhISvUHsRgn7jYrQ0D4V7B8ZeE0Whv/Jk0bjiHsOIDRjTVMez0okkyfi7RZblvLLcufrM95XLS1W3lJdfkbknsncAQBGNL7qFm3OPNf0tIig7Av+SnP/WLLzt6Imz2z8NAoFgJ1BKP/jBD37xi1/kP7797W9/4xvf2N3djRBaXV39/ve//9WvfhUA/uIv/qJarf7N3/zNDfJZTiAQCAQCgaARIUALDiiU0pef+94p6/Hhy/ZgBoAAGAMGeDJ7GwN8Qvrn6fQ+Cy11kfFnK689lpsoogtES/ph9mpubcYgZcp5/27DyueLPbquA4AJYO7GcTHGJmsh0a02bXBtjak6ynXxFWR8SWOQJOkAqml7gSzLzC5ArggANI2Z5/jpNnyOu4Ku6wgh2HywoXioXp8Lc1Njm6vPPupelW7zPa/uREYIGboGQYaxlJYG8ersxrW4DhhFkSmrTDOy8jIAJEiP45grpB2mATiOY1lW5/d2h+HOWZbxbhiGgTFGCB2QSGjf9y3L2vXQjDRN0zS1LMv3/W05yg8+vu8riqIoStNNUg8z4edzW27ojfDocL41fo9NJ0dsLezR5ppuZFVOwfv3iZmRo8fPqMP3VKsVO3kMXxkMjRE9Yo1Thma9U0EQOo7jYbNqdo+Y452PYGIEklkKg0Ajl4qvnpS+yv9j5LrOZ++p//hk+b5XF7/D/09QOob+Obvw9QX5J4dGjopQDoFgr3nooYe+8IUvYIzvv//+P/qjP+rt7W1qUK1WP/7xj3/uc5/7yle+8pd/+Ze//Mu/LB5MgUAgEAgENxqHSkER3BhkWTY9/sNR5bHjJr6Y3mOipYB1R8zMQJNYjWJLBk+CEIAxQKPSpa/ctxZ+eJX7jalSywY95Za+gWGE0LGrPpCWnJ9bkruav5k0wQAYV58BwtkLhqbxYmU3zteVJEkkmjFMyOocYoxhFF5bQU2WZUIkhKDNXiuglBrCEA44vlPezP6cMTKnvy1JEm6xVxTFRBWdrnYHP3qu+D+rKzNJkgSbq6W2badWkSXRbclXGKBJ+2di1wUAhJAsy+29z3U6bMbh4c68QB8//1EUUUqbVFdVVQHAMIwoirh/dlsy995hmiYXOvcCbuNFCO3dLurw2HQejrF38TicOI6TJNnsCrquSwixbdtrGETZMa7rIoRs2w7DcLWKgvT0kHlBws236LHSTLC8mJmvyecLrvt6K35k46YwYkesc75qrUZDrus5jneRnT5inev8tSFhFimjOJlQ8BXuaQOt1dVnAKirzwAwlb0lSRkF5Sj868svvymfs/r6Bzvdn0Ag2D5f/vKXAeD3fu/3Pv7xj0tSi+9W+Xz+T//0T++6664Pf/jDX/7ylx944IHD8uFBIBAIBAKBYLcQArTgAMEYW5odL0Xf8MI7mAzT9E0KeBV2zEIL3eQlrW0Jte0SZnrGlISpESpF8nErVzJNywawd3EfG5ienZW7thYCWM/w5V76hqbxyNfrzNLYHkopMIacde5J3NPwjToIIUmSMMaKonC7Pa1fiFYQ3XA9z7bamdkPDsrm6ecEZXJWBrkoSZJOl4fjf+fC+zi7h5h5liWSrCqKEgSBruuu6zZKjbZtZ1YJJLn74kPT0mtT8xQCUFU1SRJCSOeR5VmWKYrSYWMulGdZVg9eQAipqirLMu8bT2xQFKXJ8pwkCU+j7mQvnWNZFgDw5zRNU8ZYe3ez67q6rmuadvWm3ZaEYchToT3P22tdmFfsVBSFFwmM45hH1e/FvhhjbQ6HR3NomkYIufocEsZYGIbdlu+lBT8Ip5IjhkoHzKkmxUiXE4i/v3KxWBy8Y361azC31nJrhuwekc+tSgO10HRdd4kc6TcubtmHSmCqUqxKiSonDj2Rz8Y3iuAtOSp9m3+442erWnP98vdKgzfn89dPZr1AcKB45plnent7H3jggZbqM4cQ8rM/+7MPPvjgiy++uNdvZoFAIBAIBIIDiBCgBQeF1eVFtfI1mSoplm/JPwoAx/C/7tbGKcMxVappf6YOy+awaeUIIRKABKDv1j627AOltNi/LccLcta5xHZtFNgDgmmalFJcXuJl7q7BsWOMDcOgRg4UjdRWfc8zDIN2DWy5YrLbUubeEUOuzW/H4q83LQmYnY3egwBooRfV1gBA1/WNgqbneSaAU1lfVO5UECBKKaVJkqiqKklS5yZchFDnAjQARFHUaB/jcmE9yJsnSm/8hh9FkWmauq7HcbxbCRimaTbVtePBxEmS8KJ5ACDLMsY4TVNZlnkn+ZkhhKiquutZHHA50dg0TX4tGGP1a8e1+13ZSxzHXNCvHwIfxeEDFbuyiyZ8328f/81Pr2maWZa1DHbvnCRJ1n2r11opaelqMFhxvDg7VdDWC8pqU8seq0yr30LyyXIQFvVNte9ubaGkoiVlNKYaH+Jqj5/ohaF7eU9ADpaimyBeLqWP61KngdcIXYrscHGvufrY0sJY6fh7ZLmzigoCgaBjJiYmBgcH+/r62jcrFov5fP7ZZ58VArRAIBAIBIIbECFAC/afKIr8qS93ycu7ez/OhSewfcbO90myjBBCAPvr/lpYXELFLb6ccNLyipJGjLEkSQzD4NPbJUk6IAm2ew13L3JX6V5oc01wkY71jiAAtDzruI5lWYwxwFvXCMIY73X3douxE2fg/Fe3bgfAACayO6PRN18SyNKEejU/DHVdV1UVIcTzlIGXwpPVNTfIERrHMTHNuj86CALb7nQ6Aa8jxxizLIubprdUSOM4bhOjzPvQUs7md5dpmrtya+m6HkVRk6WaBxPLsszj47kZ3Pd9VVXDMDQMg/dN07S9ntbgeR4vdcVDSwAAIRSGoa7rGOMObcKmaWKM+XVhjDVeGl7rtVER5m+tNlkZV0l7E3Qdz/O4B/wq509EUbTECnkjHrXPzeNjNS9cCPSaeWrAmJSvLE6IEQzoL4eplFIs4U0va8ZkXkVy2R/qM+ba730wt8pzZmRZlmXZsgGgh7Gbyr7rLD5+RH+p8wOx8DIA9CqT7OKnprL7xk7d2fm6AoFgSwghnbydeBtRgVAgEAgEAsGNiRCgBfvM5PPfHtV+VNglS9Z63LuSnR4cOSnLSvcBy9cLFL3D501Oo7qGBQCEkCAIrkGi64Hi6tUrTdNaToZNkiRNU66lIoRo95CMMTCGV+dcz7Vsm3UPtak92Iht7kplymsBISQBVYYtVNeA2Re6fp6YOX782FnHkc8kybKsrNQPWGIAl/Q8hDLf8VaWXkhzd2sOpdRxHF3XCSH82m1ZWrAemtHYBiFkGAYXuNusy69d54ffhOd5tm3XKyVGUdS5+ZrDPc7c19yyAb/NGvUIbsjlWq2qqtcmjZoHU8Bl5Z3D+2xZVhiG7QNJNmq4TdeUu783XmjXdfn1pZRGUXSppOflsYFOyiTyOyEIgqaWQRB00nPuAW+8IXdGHMcrMYTZ6RHrnCUX1oIex/GiaFhT5RFrvKmxJm0xJULG8aA5tRIMBZlNGcJoC7lqavLCiZOnG5cghAzTNo6/JWRvXluek7yn+rQWBUI3AyE2Kj2cXvjuLH7P2NETna8oEAjacPLkybm5uYWFheHhdsld6+vrlUrl6FFRGlQgEAgEAsGNiBCgBfsDY2xm8vkR+MbYVURgMAYpk8vpUA2dHBw+SggxAQ6mIsgYI0anhlAEkFEKAEmSaJrGGNN13ff9GyqI42pQFEUxLFbq4+oOXpkFAJrvAVkBhKQ4lGQFEAaASxPhGUUrc47rXjLtrs2z7iHIUiAS27zMYFpeIYMdWdoPCGvdP9e/+vk2DTJGLuTeS8zLYR2MAc0yzWJWAQBYGt908f9eZ0N/n749AwBABNhtpv4GI3LdS+ptEASqqnJ9UNO09v2JokiW5SYfLmPM933GmCzL3AXfUj00TfMqJwQ0rs77DABZlnU+0pNlmSzLbRIh2rjhroG1f0t4qT0eIdIyitq27Y0n2XVdwzC4C759PH0URfXDbApv4edt4/JGTNN0XVeSJD4gwRijlAZBwBhL01RRlE6yvPnVtCyrE8m7DY7jXmSnh63zllybJSdc14/jeIqespVqSVvarpLUo8+tBFsn/ADASH4O4HTLXyGEuvuGAYYjgPL6Kq092yud7zAkmiA6yv7RG7fY4Pstq104j0Ag6ITbb7/9mWee+cQnPvFnf/ZnbZr9/u///vT09Hvf+95DNH1KIBAIBAKBYLcQArRgH6hVK3jp70akbbvSUiaFmRWwokdOqHquUOzGGOcB8nvRy10lyzKEtvF9g3850XU9yzI+W/MAFiHcxTDZ3YIXoyPFHqZbwChXmWmhN1uZi+enDMNgPcOgXCmMZileX3RcV1VVPuGdZRnXrLOuAbR5EEeffTAHOzal2NU3Xf2x0eRbmzV4Tv4ppdD7ys8I0XwPYyyprvuV8uvgoRn1rRCtviEXrqTSQkxutxLf993winuAy46yLHPhnkuHm+2R395NdxFvX09y4FZlriTWc6KvMt63ibpUygVZLnS2X4XLoNfGxbx38Gxorr/zK8WdxZqmybK82dO9UXDf0s3XdA/wiwsAXFzmZ7v+iuPR2Pz/jSeZp0tz8/u2zrzruoqiKIrC91Lf+7ZwXXc6O9pjrhyxxpfJcMWTPc/zfdmzzvRqF7WOc5k5PfrCRfd0n35RJe3uNFVKZ6fHh0dPtd9asdQNpbdk8JaKU4vK50roRZ1sna9iSC4sf2Zq6uzQ6beKYGiB4Gp4//vf//nPf/7P//zP19fXP/rRj955551mwwSpIAiefvrpT33qU1/84hcB4Od//ueFA1ogEAgEAsENiBCgBdeUJElWL3yzX3mpw1svpVI56U+0U1gtWXZBlmUZQIa29dQOJBhjlmWos+A/LsTYts3LiAEAN4TubRe3Ca8ad3BiqWVZ1jSNaSbQDLmVrLqWZZkkSVDqB1khpT7TKVOaQWUFig0aa5rg8hI34XIJ0rbtNE0vec+TBKmtLxlNYjtnXZMj2036j71mZpKOxP+28VdT2e3KyLH6jyzLovWVeTdeyZQYCEBuHv3cbTBL9bMYYzOunUTI8zYdF6lrfDxBmFLKfc1NzbhjWlVVrmkqipIkSb2ZpmncIYsxVlU1juMgCAghhmFQSjsxwG4X7r/mbuj2pGl6AAdgdkajVVnTNE3TEELberR3XFCLX3f+cpNlWZIkhJDv+y1N5VwZ35no31goEiHEhewwDLc1sBcEwUJaDEy7V5+Vcc+qa1FKVeyX494k1Pr0KZVsY1xkxDw3WR45Vppp36xHnwXYQoCuY9s5274L4C4/y5xaJYsqJDyP2aUDz0mrG3s4arxIL760IL19YPTmzjsvEAgaede73vXggw/+5m/+5kMPPfTQQw8hhMbGxu666y6M8RNPPHH+/Pn6S/K3fuu33ve+9+1vbwUCgUAg2i9I0wAAIABJREFUEAj2BSFAC64dM5PPDdBv9SstJJuYKmvJcEIVYAwAETUnGQOaWdQ0/dBpzS3BGEvOSlbo6ah1qR/WF3mELrcldlgurBN2q/Y6QkiWZZ6kvLt21O1CCNENAySZpUlcXW9UMAFACn2QFdAMqhlXrMYYWptHjDUJbfxH27bTLMN0U4mThT7ktoiYOJj0Hr17pXZKn/+yhdYbl3sDb+AW/WR9ebISL1EFgADoEmKvMWNLYlmarbMjeZZCx7Xg4HL0MM9baEkURZIkWZbFJV1Kqa7rPG8hiiK+F25JxhhLksRrcu7iE9FE5w/I9aE+N8HLJIZhaFlWm3yM3aXuR94ymcTzPF3XrzIQv26o5/ke20rnSJJkrYYZG+kzZmQcr/i9bkT7rWVdcleCkYQqw9b5DjeFEPTnKmFqtHdPq1Lqea5pbm+4ixBSKHYBdAEcb1zuxHHgO+H6CyXpoiXV+EKMWH/2L874D7Ke9xaKpW3tSCAQAABC6KMf/aht25/4xCcWFxcZY5OTk5OTk41tenp6fvu3f/uDH/zgYbE/8/kilUplvzvSjvrbu1arHZYT25J6AeeDkNB1NdSviOd5mwWUHRb4B84D/gh0zsF/nLeEPyY7ftgjwACd2rkymlWq1T16p9Q9NNVq9bC/uPj3tR3MLLw2RNH2NArf9/dX1mgP79sBnBa/LYQALbgWOI5DFr80THy4/I51kvxSfEy3+3PFfiLJhJDr/ltvLGtb+p9Tp6LWXqZyP2NZvUjawZzmz2vHcX3ctm3P8zRN4wmtAHD1tb+2hKvzlFJECFDqVcr1mnJcxzQMA6k6swut+59lmLGWH475RwGJEKptGrKhZYf4G0IuV4Dcr9SicHnisSPoSQVFz6L3YGCVmckXIyMFDKBebsteq7sykV3HBQAFhf6OFMn2QRxNtlbHcQghjf5ibrdXFMXzPNM0edDKxi9phmHwtTDGWxapawNPYmm/ehRFGwv0XQfUded6FcED9f7hn3RlWd6VT7o830NVVUmSGoc0CCG6rnPb/sa1KKVVX+7WsSVXjVxt1j25Gg726HN9xsXtdsCQnCjZelpMUJk0zVu3u/GWKIqiKF35wn0A4GdZkkSrcy8VyWRJWbakGpQ/P7900+CZd+7KvgSCGwpFUT784Q/ff//9n/nMZz73uc95nhfHMWNMVVXDMH7hF37hQx/6ULFY3O9ubhvS2dS9/aL+l5oQcqh1HADgn14O+AnfkvqHPYzxYc865yrPYb8icPkx4d+P9rsvVwVjjGf37exhxwxBx8IdAkQI2aN3Ch/bAABJOvRaXJZlB/nW2lYCKgAc8JfwQe5b5xz6m15w8Hnh+WfTJGbwGoJRT99QPp8HAAVgZL87do1Bm9hpGWMsDunS+M32DwDgZeXHudhnmgRjvHdOz12B//l0HEeSJN/3EULcylqv/bV36pXrulyDdmu1+kJeHg00A0UBANAGyzk37V76NOzVssqq36BgEkK4tgWNdt1NPt8wxgb6DlP5wZaoqjZy9j4G9zlx/OhLa9mMC7DRZYlejIzb5ETTtDAMd+yHbaPSyrK8caiZjx/wQnNcbQzDkCvO/I5SVZUr0bw9r4YXhiEPCI7jmLuqd3D78c12IivzO3BbdQsPBfWrzKM5+GASP70HweDApX9ZlvlgA39y4SoG6qIoiuO4rryrqlofXdvsFkqSZD0c6NHnMGJH7HE/tVbDYUtaL2nLm+2FsdavE1XOKlF3QV1t08OcstymGuqOIYQQYgwffzXAq+uvQs33Jy+cyxd7SqXrflBYINh9crncxz72sV/7tV8LgoD/0dR1nb9F97tr2wZjLMvypeLMBxLGWJIk/JObaZqH8STX4S5CVVV1/SqKsx8A6iFauq7z0guHF8dxsiw7yI9Ah/DPz5IkHfZjybIsjuMdP+woycpe3GFjjLFt6XsxrMUYq1arfFSABxXu+i6uGXyijKIojWUPDhTbfQvxKMI96szVw0csDvU9A0KAFuwpjLEoio4dP7nfHTkQMLn5dUaTGBafO2s9DsDABgBYoyeDIOQpt2xDOsRBhv8d5cJNfSFX6PZCg+anKE1ThBCPGObL+adeKQw102JdA/X2eH2J0Yx1D176OUtlw5TtAksTBIzRDDdIq3yAHW/+4YY5FWx07fpB7ReKomCAzQTX9Yz8W5UAwD0mUmXJ87ztTvzhH0p4cT+MMdeI69kavE2T3dg0zbrcuVGeNk3T9/3NpqkahpEkSZqmcRxv1yrL0yc6NzXze1uSJFVVD/hYUYdsfGbr8vqONf1dpz73AhrqUvLCiTu4P+Hyi4tHUfMP0/WFtm23fA87kd6lYYwoABiSW1CWVv0uJyn2G9Mtk6AT+83h6qM5rYWl2pTKGUUEbzq6o5BsZWm2p/9aDNoahmEYowDAH5/D7igUCPYFQohlWZ2UExAIBAKBQCC4cTjc8rngIJMkyWEPMttduvEliY0xltTWrflvnHX/4qz1GMAl3cFjvavpiTRNubR6EISeq4fXUdzdkTrTNPkEeY4kSY0VGhVF0XWd2SWIL99+NGOywroHkFtNqmsAALkSK/axXIkVe5XFx1AS8muQFfvYZa80K/W33DtjrM86uEOjO+OUtrUj4BHPfKQqb/dq6roehqHneZ7nBUGQpin3L7iuG8cxxnizinNthOP2gR6+7+u6LklSHMeEkHpvJUlqP6bNTWqGoW/XIZKmaRiGjYP/hmFomoYxVhTlUAxTc61EURRZlrkJa2Mb/lKyLOsgTBis3wD10oJhGPKpGDsWfZLLNC7kHvyNjYMgWPTH6j/mlPJI7iJjbLrcP+ueyOgVF92JtFwu13vsbY78Wj9uPrcyyZaCo+371i2/eI3DXrgd7zpLmBEIBAKBQCAQCAT7xSH4Yiw4dFBKt+UivEFQFIVlWbo0Obzy17dkfzekTzT+NmSF+ewubqJ0HOd6mtQfBEFLPWu7aJpm27ZhGPzkcA9sGIZNLtc4jhnGuLoC3MJMKWDCDAuWZlDgyPkrnMvUdwedRxlRmFWg3YNIkkHVMca40AOktcqWLs8e2HlGO+a2sYH6QEgbYoZiuo3SB1ypbHwVxHEchqGiKIZhcBnasizuXYXLxvb2+m8n+Ri+7/NbLkkSPptVkiSurm68FXklOsuySmuPMBoBoB2M/fDoRlmWZVkulUqnT5++6aabxsbGzpw509fXd/BtpHEc+76fJAk/kDZjh9wpfADn1fKbigdo7OIk0yAINjMCuwGtxa/kVMg4PmKfV1U1iLI5/9RF9xS9/EjZariyvAAAPT19xdF3lNktaXZpg1EqAYCEt/DpIwSVtYXdOKDtwQeSr00tSoFAIBAIBAKBQHAds/8+JsF1hviyuhmapp2Y+3NJaZEEHTNjJrv3ejWM8+CFq9kCj+X1PI+nMTTmAGCMmxyLGGMABABobYHLRizfTdeXMMZUbU7WI6a9rh6F3lfmtrNcV5vbN/Pdk2OjV3MsB4pKpZrP53iJv7OS+2K6hWzHAD1SU15jWjKN687TNui6nqYpz0jh4eBcaOaZzrwNv5RcMeRJ4pqmcR8rz+TlzTDGkiTxiN5OBGJ+V/AoG1VVVQkPz/zVzOgD+DL18DUjmhuYeIiwZNm8rddYXg6Gd/YGcxzHsqzu7u6urkuDHLzeVH9/f7VaPeC14HmmHj/hW76IgiAwTTNJkoPzqr8UB++6e9El3/dbZo8kSbIedueU9foSjKjKFonawyDr0y/OemeGjPMEpwBgJY+F4Ts0TUMIDQwdo3RscvypodycKqWVsGDJa1t2Q04nAYZ399A6gd8SkiQdBOe7QHAQYIw98sgj/P/33nsvAExNTc3NzXW+hXvuuefgD0wKBAKBQCAQ7C7i64Rg16CUdqJJ3bB40//Q1Up9ZgxNpW923UMT97wDeE25HWhwkiTput6YwWpZVuN2DMNoEoYMw8jiiEgSyCqkMZNkVF3llcpwFDR5d2kYrgy9s0MzJ8vSo8XrJ9Lx3Mw8K/QuOCliFDnrA3nj/BpNtpoWwwCtZtKI3NHDzi8cFwd935dlmVK6WVZyPf1AlmW+Ih94CMNQ0zRe68+yrA4nB1BKZVnm9TA1TetZ+mc1Wj4+/ocUq5QokdI72/cTfFNDM3+LgFEg9slRgr0diwK8Ul9dfa5zwOsp7wzP8w5IHjQnjuM0TfdOEN8szt73/XWlv6QtAsDUWk8gFUjkaHJVVpRaUhwxX6rEPUV1BQAQArr2LzD0k3xFjPHxM3dm2e0LE9+JoORlYEgT0JacFjhOzbZze3B8W8PDc3ZlLotAcNhhjL3xjW/kk4H4a+dP/uRPHnzwwc63kCSJGNERCAQCgUBwoyE+/Qh2gU5MczcyjLG1iW8O6S0mUFNGzqfvPDg6zh7BpcNtrcKzhimldfUZIWSaZstzxUVDwzAwxlmWJUnCZcckSVRVJYQwTFipn23QFs3zXwtu+elO+sMY6ycZxgcueWAH+EEwnRBU6AV+6hBh+R4P4NU5AMZodTXyvJdiIwHMoIUaOxlKY9r2Anb4RWwZnWFZFsE0CTxugmaM1QsS1qXqKIr4Je68rGWWZdxDraqqFi7lnJcAAAEjNFwY/ElHHgiDgO/i/Mn/NDz7N0u978wc0m1WdlZLkHf+1KlTjQsZY77vc6WeENLy8PldDQBBEOxvbFEYhtvSlBljjfU/9xH+jENDHvRe0FLdZowF2aVAnrGulZfKdjZ01gPQK0sVq9etFALV8qp0MLeOEcMIzp2/cPrE8cYtmN2v8paXcnK5kz5o4aNgv+3qj2VnMMZ45NH1N6AiEGyX/v7+xrefbdv9/a3rRggEAoFAIBAIOEKAFlwtwvjcHsbY+uS/NCU+cyKWm0ru9bzrXH3eLrxYHEKIz/HnnjtZlrMs26iOIYRs22ZEAkmBOKRZWnewxnGsaRqWlUy3kNEiXIKmSa1wS4v6YhtgjObDml4qbd30wOMHwXRM0GahKAjhQo9e6LkDABijbjXx3amAOEzKLpujMbAsyzRNq8dotIHnZrRvU9SWle89NP2aDyqKwkUu27Z5JUiEEC85iBDi75kONWjGmOu6mqbFcZyZ/VV1JB/N8F8NzP29lbtptffHHNfnG5wdfn+aphKWlgOb0h0+j43qcxzHi4uLPT09L7/8MpeVN6bQcN2ZB2EDAE8diaKoTfXFvYAQwmszUkr549bhaKLnebxsI2MsyzJKKf/3GuRy8KztMAy5AMT99Xu3Ox4jzl81jbMxOCl95XPUqcLEOa8AZj4o9GnVFQRID2qp3H9OugWcMkoC1t371OTszUO9PEQbY7yystLV1V0snlya+n5RW2/vv5cJ5RMCdv8gO4bPVFBVVQQICG5YEELPPPNM45KPfexjH/nIRzrfghjFEQgEgquHuS+D81ynjZUxIGf2tD8CgWBLhAAtuCriOD4IDriDTG3ynwa12RbL6cBcfFsQ7MRueehACNVtrW1QFEVRlCAI6i7UupjVKIpx32U9k5R2DaLKcubVgiBQFAVjrKqqqulUM1CuxKCViRcAAKSJ76KTb96yVzRNuliUvy7UZ8bYtJsgrRPVHQAhbBdUu3AaAADo2sJjNQUAumSaZVmHMmWaply/23wnSJWyLIkLy8/5A7dhIjHGmpI6EEK6rtf9ttxQnyQJD+hoc7Dc1Vt0nyqo1apx2s3yg7VHCUsK1acJDb3cj2mapqdrR17+UwBwlCFy091zcIwXXuvk6DaD38nlclnXdR6svPE9yTOL6z+maeq6LiHEsqw47ihie1fgySG+7+/gTd4Uh0II4ZUewzDs5HnfMfy68zcAIWSjKLy7YIzjON4s+yWKothQFRIBAEZwWnryJe/VyMyH+R4AUL0KdatKNIs1Iyr1AwBY+efLQXe6OjI0yN9vpVIJYzx4/A2V8npaecJS24XMrCwvjBw5uuvHuF1EKrTgRmZj2pJpmtdfdWKBQCA46KRV8Cc7bm1Du28kAoHgWnBVlcEENzKU0roBTdCSLMvC6b/tbaU+r9FTM+EtHabZXgcYhtHeLYsxtiyLe5yzLGOX2dhSURTTNG3bHtHPKXQpK/TitXm/VuWZG3Kxm5R6oe8I9A7jXDvJmNEsUYpbmviStaUxU87n9id3ddeZW1pBmrGzdXHXwG2KAwAGZtuSRxlj3O1lWZZlWU3+zTAMKcO1+95fevGfhr/1e1EU2bbt+36jbN0k4PL7JI5jXtJwI/XLijEeW/nrbvcxAMhnCz3oIr38V890JwvYGVj+lyPTX+BL7HhOwsmofW4ot2RZFveodn6MlUqlcUlXV1etVmtjZ24p0fJDS9OUB2d33oEdwy3Y7QcJOoQPS9SrSvIxg6vf7EbiODYMI01T3/f3Wn0GAM/zMMabnaIsy6LslV9hDPlwuv5jZBayXBdCyK+s46UZo7wghR5gvKrY58bHz58/33ibFYqlrrG3rdNb6OYmcokdlGoBaZqKmsMCgUAgEAgEAoGgQ4QALdgJSZKI2I32VCvryuJn8/Laxl/Npq+d90dunNRshFD7cFtN01RV5dJzm2aGYfCk3W72+Any1cVwJBt+HY58LnhZlkX6RsDMg9bsQkIrs+DXmhdOP4lHbm2zuyzwcmHtxFD/Holo1x7GmKNvpaS3HVLSBkctlHTL24tZcF1XVVXLsvrtxeH83EhxxbZfuUZpmi66A7JuJP/DB9b7bz/62P8HADyLo1GqDsOwyV/Ghyi4ot3oxLQsS5IkfrdgfEWMtcL8NfMm/n/M4tGZL+ac51/pCbpUYE2XvFH73Eh+qXNHm+u6s7OzFy9erC+RZfn06dOFQmEzHTkMQ8NoPRhAKeWi8DWr+RZF0Wad2QFpmjqOEwSBYRjb0vE7h99Uu9jn9kRRFEVRy/uBUroe9TUu6dKrVzTQraTQK8tykiSu4yQr8+rKjFFe4LdFf38/xnh+fp43RggNDh9T+98zX+tt2ZOYXaND7gRe/mF/s8sFAoFAIBAIBALBoUBMnxRsD1FvcEsYY3Mz48elb22MfmAA59P3uK7L2DWNed1fNlYObCpIuOX0f4SQZZknpa8BXHppzQYn8cirAMBdXrAsi9kFprdIeeawnuHmJYzhxAdCUrdGTLsuEXJdNSkvj3aX1NKmGzykJEmC8ObvfMb08nxTwixCKNEskkQ4SyKzmMnqLUMFzVlrE5NsGAZCKAiC+jXVdT2jbLgwhxGcm8+fGqgO2vPTSR83xTPGHMf1PNkwhobvBfR3T4x97X976S3/WdV0hJAsy9ziupn/tH5rEUJUVeXRz/xg+UK/pknrLzvGyFrx1tDsRyzr9p6DK4NZuJqeEAMzqMvFmuSP5cYv4lMAmDHGkzTanN4oipps/gih4eHhOI7L5dYl5tqPbfi+L0kSj8Pe7Kh3C27HNgxjd8OUXddVFEXX9b2Y7REEwbWc804p9X2/Zf54kiQZwwRduuE1OWVeDZmvDPZQSdENM61V+ahJ/Wyoqjo9PZ3P55uUdELIsTOvi6IoXPpXVbrCKT86dmL3j+3qSJIkTdNrNlgiEAgEAoFAIBAIDiNCgBZsgzRN9zTZ8zqAMTZ/4QfHjR9t/BVl5EL6Tsc9KBOorw2maTZJWrIsbytwFmNcMtMjXH0GAIAg093+N3Gd0Dx2dgczwBFC7NSb0vLKicE+AOATyTHGl9yaxsD2N7lzGGNRFAMAxlhROktn3hGO64HcWlXXqkuR57ppChvFzcsRB8h1EUIMAJkmIaSl7dGy7O/WlJQhGWm3mEmeUITQ8x5ZTiQda4uB8VxaXFww7+lbUBXcqNZSSpMkySim7/0g/sqfnHz491dO/3g49joA4GXxCCFxHFuW5XkeFwG51lwXBLMs2yie9vrn7fVnAcD2Z2x/JkMy3Psm6H89AHiJvhb1hImMEDuanyKIagBxXFsMh/pyTl2GPmKNL1fsgAyqqlr3WW+W0RyGYZIkTcEgx44dGx8f5x1uau95Xvuif9xKvHG5YRjbcp4ahsETtIMgaCzt2NilNE01TVMUZXdnt8RxzOsrbqngbxdCyDUeDeVh2Zqm8UtcvzSyLNfVZ47lTnjm7fUfFb+GabZxKC6KojiOEUILjn+rZTVFKquqqh758YtT57uklwg+0GlXPG9dVCYU3LBcuHChcQZMGxBC+Xz+6NGj+XxePC8CgUAgEAhuKIQALegIxlgcxyLtcUsWLzx8zHhh43LK8MvJOzxvl32LBxzTNBuDwhFCmqZhjBvry3WwEf2I9N8bl5xH71Dw1VaQp2lytK+b/39fvHuMsenZpc/8t3NPjL9yV/QV5f/lp0/ceevRvfhe6oXRZgJ0miRbPt11vdJxHC4ppmkqyzJ3dHIxNGRQQHEGqMyUp9wrshe+6QwBwKCSnTCwFxuUkSYzaRRFS27/YG5++R3/sf/r/2//C/91XstF+RFFtxVF4VJdlmWmaTqOY5pmkiQY4zYhywAQ6T3185gQY/HsT42gJf6jIQeG3KwXKCQZMaeSWFoMh7kMXQ20YfYDlEEZH19mt/FbF2PMOyBJUqOhNUmSCxcunDhxoklJPHXq1MLCgud5QRA0yruMMVmWG1XUDpVlLoNqmtbmUarPMwjDEGPMT7WmaVzK5zI0r0CIMa432IshRl5f0TRNLnxTSrMsy7KMvxn4YEbLOo3tkSTpGoc/mKbJzxsADJnnptPjEiEMoFefaWp5pFR+gWbo8msqNvMkCT3nUjRHvZymYRipXfIUDRB+dt3vSb3hwebRryNjJyg9Njf5RLe2sOrlew5wMVRRmVBww/LpT3/6wQcf3NYqp06d+rmf+7kPfehDQ0NDe9QrgUAgEAgEggOF+J4g2BpKqUh87oSFi8+PtVKfAWA6e9O2VNfDjqIoiqJwp7OiKIQQQkiSJNudiW/b9gj5btNCLVmi0H813aNpMihfqoy3L8zOL/3BF567sNBcmHGpnPznz7x4pHfiPa8fsE25v6QfH+vfrNTedlFkslm8QmrkDYI7r+fGJUUA4KETpmlijBljCMHx0UFg7OLF+QWqNa2FgR1XwijKCKNd+kLZt5o0aNcLlnBfd37Z+elfCx9/svv5f1CiKgCEpaOLr/sPSZLU40F83+epBW3uKEVRjPKlcnBLPa/rPmWN4KVOjk4m6Yg5FcXKYjCAE4f/nSyyCwZbPq++OYoiSqnneZIk+b6PEFJVlTu4AcDzvPPnz2/UoAcGBgDg3LlzcRwriiLLMn8hhGEoSRKXfTHGhBBJknRdT9O0fd3OMAybomya4JERAEAIoZRynbdpm43yPQ850TRtd1M46jS9ALn8DQBxHPP3g67r3KPdcnU+fMUVcz4QEobhtZ+Rw3srSRJB7FjhfJuW+vKLYf8t9R9TRTeMhBDCAGI9pwROmsRRFGEbAGEAAIRWZGtlev5UT8G8MpEDYzxy/C7XrXWX9nCGxK6QpmmWZSKOQ3Cjwd/ejUNiGGM+WNU0usbfe5TS8fHx3/md3/mDP/iDCxcuDA4OCje0QCAQCASC6x4hQAu2IEkSUWKoE9ZWl0fJwy1/5dB+J7ixvlooisI9j9wfuuMBDMbYTPaGk9JXGxfmYK4Cr9px32gcjRjSbqm6O+AHT577nc+3k64uLkd/8g9Tl3965pYx4//8D6+9+nprOcuqbKLXIc2AyOGmZkmS6tplh9S1RV4lEhAaGepdmqnQK+vcUkD8K/pTta535WYHClWA6iwMBkHIXzKU0kotSukgo6n2qrdR/Y75Kun51p+p69Oj85+f6Xu/4/uUUtu24zj2fZ8xZppmY950HcuyEEKVvtc62O7qT/sUF6C5zWJ80qclDBQhmlL1iPq4jF+5UVUSH7GmASChQ7XYrvr6ceWpnOSsRJec3Vz95LH4uq4risJ7wjXo0dHRjbnViqLYtm0YBg/fkCSpnihiGEaSJHwMgHuiTdNsP2rF122ZB8IPn/+/ZTjJRoIg4M7uLVvuCoyxunzMDdFcDeclJfmcG55nwgceMMZ7pIx3CJf7uQDt2j0V79Yj6ELB2LRLR7tWXmz4MVUNKknEqzJKpTjwC30AQCJf86ue2vBoG/a4m+qLU2eOjW3oQC6O4+36xK89Io5DcAPy67/+669//esfeOCBKIp+6Zd+6Z577jl69GixWEQIVSqVycnJxx9//LOf/SwAfPrTnz579uzc3Nx3v/vdP/zDP4yi6P777//GN76xR/VaBQKBQCAQCA4OQoAWtKO9BU/QSDH476iVoZYxNJ/ekaY3kP2Z0z4fYEvqChqG5phXBe28oFm8NHtydGQflZF/+8HzD/711LZWeW7K/5n//dtvvaP4n3759VfTc13TwM2o74JboUmcyKovm6mkMIQQoMEoSi4HcZimWbfldo5lWX7+kjMdSfKrjeBx38TA3lWas/V4atV+NOpGCCmKshaoLy3mzw5UAWAoNz8PQ+7lgGBek5BvDiPWU0zZT/9P56alW4O/z699h/b8mOP6lNJ6bIXneVyo5copv+Vs266rrnbvTbbySFNXnax7MTrpeR5A/V5KptidGONB+WmdXBGVI+GspFVKWiXMhoPAMAyF97PRqxsEAc/EQAh5nhdF0czMzOjoaJMVdGRkZGJiYmhoKMuyl19+mRe1S5IEIcRzrhsb84yRNoIjT8E2DKNJgOYDCfzytc+YbqRRAd9H6n90eCY7ry25rdT4XYfXgeRjMwCQZVk+KK9bfZOsSELvKHrOVlufYW3phbDvJv5/RqSMSC5RzOoyopnsVxKjkGmmp21Q/BEK7K6nFtZPWPKlEZ3LKIpyWP4o8/t5H8f5BIJrSRzH999/f6FQ+Pa3v3377bc3/aW+7777HnjggY985CPvfve7P/CBDzz//PN33HHHT/zET/ziL/7ifffd9/DDD8/MzBw/fny/Oi8QCAQCgUBwbcBbNxHckHAT03734tCwOP2k3iregDH0cvruGyp8g+PnhBVQAAAgAElEQVS67rbuH0VREEK2bdm2bVmWoSsn5X8mECFIj0vfbGqcl9e2G0fOGMvKK0dUODV2ZB/V54mp2e2qz3X+9anyh/6vb15lDntlfW2Zyctmz2phqGp2J4rOMAGEGUKEkPrGEUKdq8+EEMuyrFwuKA0BfuVvCuk7cpcV/mTPxZIVyYSd7Kv99MA8SyoIoftHJrj6DAAIwVB+rrtAcrbZmCnhuu5sdXDNLwHA8bH0XM//2J1eQCzj3eNtFEXRdZ2L2p7n8VwOy7IopfVjcRz3pdpdF8J7L4T3TISvnY9vrqT9F53RjU+l53mO41wMbh73Xjcd3RlRgzHEGAqpmTHCGFpOb44z7Pu+7/tJkliWZZqmbdvc1CxJEs+ZsSxL0zTHcSYmJpqeAkmShoaGlpeXJUk6ceIEr0ony7JpmrquN6l1cRzrus633yZtg6vYvBlP4PV9n2ev27atKIplWZ1EIqRp2j5Q+xrDo5+CIHBdd39tv5RS/kKrX03XcUruEiCUadZ59XXPr47RVs/lWHEJruw5IpJXHPALfUocmpVFo7yw6V4l+XwIP3rhpYNved4MHvkiSkcIbgQ++clPUkq/9KUv3XHHHZt9xjh79uxDDz2kadrv/u7v8ufipptu+pVf+RUA+PznP39NuysQCAQCgUCwHwgBWtCCLMs6NM0JAGBx+kej8g83Lk+Z+nL67saIW0FLeIquaZoACEFm4/kz2jcR0GPSN09IX9/YHiPG0iuUMsYYra4NSRkrL9PkCjcojUNWXRsk6fHBPoz3843nut5//KOnr2YLc6vxz//W189Pzu9M03E8L1TbpQZzdF3v/KZVVZV0DwSloaDQXDwNAHDPECavdHU96GIk5zjObKU5wpuwWp81r0mhZVn1y+R53ko5m60O1sLcSHcQIQuzFABc17Usy7IsbkN2XZcHK1umLqNMySoYY57pkbONkUK535gnzAdAnh8vV8lUubeN0hoEge/75Vpyrnxq3Lt73Lv73PqJc7U7xr27V2us7jXmKdgIIcdxuEKapqnjOHEcu67LT6Dv+xMTE00nk/u1x8fH19fXEUKyLLuX2UwT57too0G7rsubcRc2pVTXdZ7ZwtflxRub7LT1/miapqrqDR70zyX8lrPg63JS46hMFIZKcmnQMe4efZrdt+o1XyCEoFR9quXWUlnLsoxRqleXYfPHmfUMPb3iLCwvX9rRIbxGURQJDVpw3fOd73ynu7v7rrvuat/slltuGRkZ+eEPf8gHljDGv/qrvwoA//iP/3gteikQCAQCgUCwr4gIDkEzhyJl8uCwMP30mPz9jcsjZk3Gb/B9oT5vjWVZNppVUaVIpjtchSYxlhUAYJQiZ32kuyT19wDA0cF+AEiSJIoijLGmaVg3IH+16cm7wn/50pNXv5Gan/3af3nqna+Z+ugv3bPddZ9f80FtnfBrZ2E9UGJbj7+kauEm2+Qs18yx7hr/v0KiNSeBBkWvTsFMAKDLWCv7llmQl8uXCs1xa/xKTfGTPlZ8c301rvxe6rxt80jlbvf7clqrGLeRYBr0I6qqpllWgSMGWsuQ4brutoSwxoJ4mwl/9diQMAx5MnXT2QuC4MKFC7quHzt2rF6WUJblcrm83f5wDbr92AD3UwOAJEm8PUIIY5ymqa7rjZkhXL6P4xhjfANO0dhIltGsZwQloV5eajxRtm23jCVRFMWTG14sGM+Ydy46Kyf1cVV6Racuat5aEiO5WdeOjJwRB3wMw0iTxCqlanNieH3Li6AvTszcPNx3SP80R1HEvfn73RGBYK84d+5cX19fvUzuZsiyLMvy+Ph4/eU/OjoKAM8+++yed1EgEAgEAoFgvxEOaMEV8Inb+92LQ8PSwuyY3Bwvy1mhN+1vyayDD0+8xRgrUOsnT3euPr9Qu5sGnu6Ve2h41JTG+nubpA1Zli3LMgxjfy3Pjbie98jztd3a2tcfL/8/X2h947Uh2lwpztNXkiI6L4VkWVZYuMLLLPk1lCVaZam+JCmO1v/fY67yK7XZDGWEoGS6ea1iWQb/Jq8oylBubqDoRQkqFlVUm7IsS1GUxsqoarJaVCMAWNdvs+KLEnVDfRQAua7r+77jOEs1xXGcvbBhBkHA7zQA4FU3N7ZRFOXIkSuCX4aGhnhkx3Z3t9kuGkmShBc/5CVAefcsy/I8r27gNU0zjmPP8yil+x76fBDQdZ3ZRQBgstZ4XRBCLW8bWZZbvlsSu2d+WQ30N6wEQ16kxCm5IN+zUX0GAMDEL/Tza+R5Hltf1Gqr7brYULPxMJKmqZhWJbiO4THxWyaPJUlSr7XA4X8atlSuBQKBQCAQCK4DDoo6I9h3KKUi9HlbMMaG6T9t9tuAdV3LzhwuJEkyDINbNU3THCHf63zdifje42fuPDU80NfdZZoHwtrcCd97YmKzX911autYjI1884lyuVLtvH179Yeklxy+pml2OAQlSVJsdzP6ihCsl+eRW5YDNzYL9VQBdmVpzk7CiDFiQ7n5ghkihBAChMCQgz67okrRcPI4D2xpHN2pUbvLffz48mePr30JADBLjy1/llJ6DcK+eTpwEAQ8BppSysVouBxtAQCMMVVVGwsMYoxHR0frj8C24InPbcRr3gH+MueO7CiKmiJHEELc092o49/IYFmhWvNjaBiGYVmpZvO8l8Zzrqrqmtm7cTsocM9U/5s/+6OR43d2HX2X1P0WaDPMgHGY7+HJKkmSBNWyUV7crG2PLh2c4bSdIQpLCK5jzp49u7Ky8vjjj7dv9vzzz1+8ePHkyZP1P0/lchkAjh07tuddFAgEAoFAINhvDvf3GcFukf7/7L13nCRXfe79O6dy6u7JcXdmZ3c2KKzSKiMDIpkojABhY+C1CcaYFxuu74vNCy/vtX3xNTb4AraxEZLhGnGFMcFCCBBBQkgCRbRBu9o4uzs5T3dXDufcP85sb+9Md0/3hJ10vp/5o6equupUV+iu5zzn+cXxegyXXF3yZx7AqLSnciC53ra5/bk0pmlqmiYIgu/7pmnuEL6PUbWm+yPuSzu6965o81aI7z0+WnL6a25oPju+yEvvgUdPVr/w5NR0uVndwURBz2V+zGpWKMtyIikIn9dVIyMjimJoZIikQEH8pRccXJYFUY00nFGzhmHk8/ZgrgMAVMlHCCgSdozdCRfatMMwHM68Mq9ufz7zTgqoKf8YAsAYL2gWXi4Mw8jn8xjjKIoQQkyvdBwHIYQQmq//AgBTq6uR4+dAKWW5DSUjoZlj1/O8KIpYNDY7miwVulCrcHG7uSFhJxIq6keJZd2yLEEQPM9zw4QYaYegGdEIrQZmLQcA27brnbG566J035nPAkDb2H8yt7Ku6z1KJd89FWW3rpX1GVBK7XxOmyl9oxgXjShaxw7oArwsIWdDcvPNN/u+/453vOOJJ54oeYZTSvfv3/+Wt7wll8tde+21hf6khx9+GABuuqnmTC0Oh8PhcDicdQcXoDkQBMG6Htu7Kriu0ySfLTkrpMaMb/Fn7PkUF0YDgAaL7pQeqNKlGhF5VLujZ8fuFW3hyjE6Xbrq3QO/GhudvkCArrOkprTU3rjwgNwHfjlefQOwUP5uT2lBlPQ8r6CyVcZ1XW1mBABE39amhwEglnWvvgMuPKJidqj4X1kWdSXpSA1UXjm7elTRn+/6RAC9Y3e2R/sLbWYy7rh5Y2f+p8eb3o2AYkhS3gs48S+O2Oq6rqqq+XxekiQmOrOk5iRJJEkyDKPY/lxAEITt27dXKC1YAaYv67puWVbxR8RMpnPsumEYRlHkOE6hVqFt21yGZsiyrNU3edL5vorErKMAuq5LW3dhVSeeIzV1AKWxamFRLPSd2Pl8JjuUdidmT9Ykqh98XKAxACCAgf0/ZoulU6kO8CuUGQSEYzNTOEOKpfA5i52wN0h5Bl6WkLPx+PCHP9zV1XXmzJlbbrnlve9979e//vVHHnnkwIEDBw4cePTRR++9994PfehDN9xww8mTJzs6Oj72sY+xO0kURZ/73OcA4HWve91q7wGHw+FwOBzOisNrwmx2+JDYxeFNHa0rI+hRQBtDJlheDMNgSlkURRjjNDrTLByq5o0JxcPxlY1br8usfKLCykFIVYLLP/+XywEgSeixAedz/9FXeWE3qCE/QcQYypyVCRYL8wzDqFzm7vwKRZEIIgDEqonjeSZuQmjkTw6P/GpKelVo7WnJs6PXkRqat6ZZKJ3Vrifyct6TtzXbQaLpOu1IDRaWEejshnyxiVIqyzIhhFUL1DRttP7VW6e/CwAOashpu+FckcCVhhDCBN855vEwDFnIb0nHNxtzbVlWlR/4fJhvXVEUURQLm2YW6fnlCkVRLO5oDIKAlSh0XXczB3H4vi/LmmBliieGde3shZBpZC8UAXkAOZDSRReI67oAbl0cpe1DrdlfFK+ha+aHSfJKJis3NzVFQ8NjogFl7mCxYmiqyo6gbdu6MOanS+R7gCgd7R/a09W5lP1dIwRBIAjCIiJoOJy1ybZt2x5++OFbbrllYGDgrrvuuuuuuyRJYt8LcRwXBsE0NTU9+OCDO3fuZP/6vn/HHXfcdtttL3nJS1ar5RwOh7NJQJSIVT9KUqBn8tWKJAJCbYYsrvOotMpEMfnWr84kFz5YUQpB4IuCKEpzRcU3Xb9Vk7nSyCkBPy02L5RSXhRocRBCmuDZcnNnSA8rdM7SVy9mw9YyTIOL45hSqut6UxXq81TY5hnXNjS2N61n6ZmBMQJYWAx9/2cONqbliWxVoRxJLd0chmFAtvQb+uW67nCSvQ6CQNM0z/Mqrw0hJOhGYM3Kc6FZf75V+ZlTQ9PHHJEAApAB4Iej1qMT+qvbc81WMO1pDm4ChAELglXXETwtCQQA3EjPByYFVKdOK7Ic0tRgLhMEQcYoykZIsA6zEqqjbjPCASR3xEnCHvKDIBBFsb/+tzqnviMljhoOeUIjEmSM8UXoEHJdVxCE+UouC+IYGRlpb2+fM4tdEY2NjePj40walmUZIcRs1NXrwkEQsKPGGsCOHfM4FwoM6roehmGxKh2GIYtdmi9VbyriOE6mJ4zQA1FKoihp6ACEAKEkNy2k6gqLCVadNDEUyzqKI0VR2I2dCUxxHI9JvW5bT8/wV4vXfPrZB7df+2r2uqO9bWw0W1KAFgNHCINIT2HPmz1RCQFCoORjTH3LTDabSaeXbf9XjyRJFpdCw+GsTbq7u3/961/fdddd9913369+9StWb5DNQgjt27fvDW94w3ve857W1vOVey3L+sAHPrBK7eVwOJzNBQHkxtU+ESCAfFjtAHERo2Z9g6utMSE/PjAUJ9U6e153dadWbVV7zuZiY18pnLIkSTI/lpRTJZNDhzpx6U8vIrIIriAIruvyUcbFxHHMhEJZlnqEH5dUlClFo+ptimoihGVFNQThIoX4rjzvfFX7F/9zgdwJRrH63JyR/+Ldu04O2n97bwk3NKnlBNM0DbJlw50Lh0NRlGrkSFVVw3RL8ZQkO/l0f34yFBJAAHONjXYifLO/7uWtSXrLtuJvnQHxym302YTAtJexbZdSmrdNQgilTmNGSqUCU84XFp7KC6lzr7eP3X2y+fdZ3jEAiKIoy7KAkeqdGaj/reb8Y1tmvj+tXT5lXKHr+kUQWFm3SskNUUqz2WxbW1tJH7Qsy6qq2rZtGIbneYVeK0mSNE1jHTbV9GMV+gxK9h8ghOI4juPYMIw5Nm3XdavpctjAMM84e22iwbC+AxBSQhtP+5FZR6XZMBxZVq7p+3SAjBPNv2NZFjO2e57HOg9mYjje+YHOsW9r4WwhwZ7cDwl51fmAFErmhJ5RQhDGsawrbg4QCs91k8SBL4VuNK8oImOIiJmSM9YhLDFGUZSLUC+Uw7kINDY2fvSjH/3oRz/qOE5fX19fXx+ltKurq6enh6cecTgcDofD4XABejPClIjVbsU6pok+U26WiMOJsDeOI57CUYyu62w0uiDgHULZ3Ge76ffr5I3ZW3rr9b1VCtDFjM2E7//MwXJzdaVEsnAFEEkoLv2WwgGJ47iyZRhjrFmpSJ/1YE6fPvX4lEQBKKAFv1B+OoJfq46IhikKGJKY6iksyaeCK1qjQ+3WUE5O5XyTyaMYY01yDfmCSp5xfF5wx5BsH7sbED7R+C7btlludcvMjz25Q80/NWbc4IIl4TjvBLqpstJ8C308iwFjrGlaGIZxHLMYkJJKruu6hw8fliRJVdWtW7fOmdvQ0EAIQeiC6B7mnmPCHPMvL3jTlmWZeah1Xfd9n61NVVVJkpjZ2ffPh2JjjHVdZyoqs13zLkkAcBxHlyaiVJOAcT6XxXaelbKkgML69oM7P3rZsb+5ZPTOp7d+BAfOVWN3vtD6Howx+3jztn0y87oMHe8c/08AON75B+oz92299o2zq553BiKM1akRjKhT1wYkEXPT7BCHYSjPTAh1KFFKdMAhUT49ONTdMddQv34JgoBr0JwNhmEYl1122WWXXbbaDeFwOBwOh8NZQ2zkqBpOSaoRMjgViMJQEcpmQlGKkyThyRtzYGG1SRzslH5QUmegFJzm98gbVH0GAMPQ3/nK1oWXm8e2Nu3WqxtKzmqpqy1BtcGdLDldIREFMC3LtCwkq3qZonkM3TD8dEsiqQCQ7zv26JRMANFzCjYCwAgaFWhUQEAAAKoAb+1Gr2hHd2zDqohOTIWyM+0OnaG5KezmhIkBQVYH/XaEIK3mtmSGUpZhmiYhZMavm7ttdMEXFoYE0wgBMFdvvf2UFZ5pth+bMfdRhHPGZXKc6wp+iRAyTdOyrKUoXMXvVRTFPAfbNIs1Z70s5bbi+34+n5+cnDx27Fix0EwpTafTgiCUc09TSl3XxRhXLldomiarTJjP513XZbKyaZqs4FvhjsTqJWKMWdi353lMMVcUZX69x00IpdSZnhTHzzI5nhDCyjYmcSRNDSItfWjnxwhI15797FVjX0ZAAs9RFKVQtzMMw4mk7nTr71CA3oF/6cw9dF7WL9UFEtQ1IwBEEn1mtPh7OQxDITsJZfqBvFTjBovt5mUJORwOh8PhcDicDQ93QG8u+GPe0pkcet4sL5N6dJ5qxgEAAN/3u/XSZl5KYdL6HUvc4AWp3vbaa2zvqW//Yqymd/UNe33DpeMRtrXVllAiCKUVxgBLffKsxt2c2DjVosMQiw/GGOumea46IBBR9vQ0AEyf6XtuRrATHQB0ARpVyMjQqqGUSAghrLQpSyUOw9C2QwkgH8LL6nEhp8LzPB1Ns7xdIYkGplOddTkAaNBGRAFNCI2KMFeQVeUS9670zGNISc0Ye6fgWsM7oVAbABJ7RNdkgsV8eh9O3ASpCGPLkCmS2X4JgtCVGswmbV6ssd6R2U2oqiEHATFEFISJhDFmxuQwDJlJkxU8ZHquoiiF22mSJGzNlSOVmaB55MgRlhkShiHL3Kig+DNYZDMrG0gImROjAeek6sK/SZIUmlHcniRJRFE0DIO9SJJEEATWcna8NnMedIHiU0LTNEGSg3QzigIAQJr5/O6P7jn6dxL1ASAVDyY0XazdE0JmQllueHX75A8QQO6JLza86EMAUDICniIcqoY4PuDOs5/7vq8504FVsvMJDU9MdraUKlS4bmEZ7iymicNZ71BKp6enHcdRFKW5eUNdqhwOh8PhcDiLhv/W30Rw9XnpUEo7pKcqLDCYXO/7XMG5AEmSAEBVVQuX1l5Hw6661EYoq7Ug73nzta990djnvnH4wKmycczVc8fLt82Z4rje4wfPHjqb75sIEwI7mpWb99Tvu6SLCWQpXRutfAOgFFv1ABBLKsaObhihUefJ2gWLkOTwkb5TngQAGMFtWxAk0azBNgS3qHri/DCKOckeYRjKja0AILR2x5SG3lOySAa0fTSOcDzUqOfmvL3OiugozDEYN0dHIAIpzo6nblGpDQC9418GgH7l9UGYdHr3J4CHpCvCzBUp96iZDgata4IgVBQlJY6lxDFQ4KRwo+N4ACDLcpt2BhPH1Ox83HLaaTMMo1DHb05CBXM6s+yFYioEcRRgAn0xVRpamTqsadr8UJHq/d1JkoRhWPBEF/aLtXl+SPQmByEUyTrEESg6m4IV/UjHe/YO/AMAbHceps7DR1rfV5xhQgiZVjrrpSY1Gq8PTg4cfNjcehVICgAo+clY1pJzqwIAIipxGJb+avZdrFlELNHhmZetQqr+hoF5wDfYTnE2FbZtf+1rX7v//vsfeugh1o/1spe97Cc/+UlhgXvuuefZZ5+99tpr77jjDh47w+FwOBwOZ7PBf+hvCqosY8VZEEqpiCpJRTz6eT4L53umrrlYbVl92lqb/8cfNydJ8rmvPfGTZ6cXvR5dwR3t58sAnj47cPdDgyfHLxBJnz7jPX1mUPvZ0Cdv37Glo6Uxkz4+XSl+B1NCQw85M2I4LOitlJAoDOXp05gmYetlQCnE0S+OjGRjSUDwGy2oSYWlGGbjOFaiiGoAAAihKUdvTds0iWUvT9VUH+7QZk50ZM7L0AiAgChAiV3I+C+k/aNZ3JYmw2zKlpnvAcAM7sgJLZoshgjVeQcH6dUED1vh1JZ0tvDe7eovZ8Q2AUUqyp61tw6lbpDdmZ2/+Cfjxe+roCNTSkVRnH9fTZKEUmoYRhzHK3TX9TyvWCZm0R/Vq8YY4wppG6yaIk9qKiAIQiSrIFwwPgM3tA9OXt3hPQsACOCSkS+90Ph2UTMLJ0wQBKebbu+e+I4ajjaNP3i4dfYW5+tpJBT97qI0ESUWhzJ/057nKWRYNNOhMa/uoCgen8jubqnfYBpWHMeEkA2cxcTZwExMTLzoRS86evQoACCEBEGY37OYSqU++9nP3nbbbXfcccdqtJHD4XA4HA5nNeEC9MaHq8/LygIWcp6jOgemxDETdEkSijP1lQao2rbz1AsDP34h74UUACwV//a19Xt655p/1xeCIHzkXTfd8crxP/mfTzv+Yjot/ucfX8Ve5PP2f7v30HC2rFzohfTP/vfx/++Nzs7t24TES4TSx0IKvRtz92qQBYBJ+fKzjmUaxpWT/8z0Le/MLwAhkfrfi9+8tw71monneUtPa3CnxjRJopoV52ekJDnp9cb5ftS+DQAQgN+4+0QYpPLHm9OzkQgJkgVaek8RUBnHxxvfKyR22ntBDMZTyVCGDGbI4InM7/WO3QkAjf5hBKCTybO5l29JDc0E6efFm87VT6QxEuuVXLs/MaQ3GlOnx5OksghbIe4ZAFj+8lI+nAoQQnRdZ3HzCKGCTbsaWJxISXEEzqVPqKqqqmohgXrZ2r0OoYCQpMyfLtILDm7X1Pf623+3eIrruv3Nb+od+KIvWIWJSBDl3KSYhBSLiMSB7ytKiZUzWCgKhH5YMmvHSJ04c7a3u6vGHVrrsFCaCh8Lh7MGyeVyL3/5y48ePZpOpz/4wQ/u3btXluU3velNcxa79NJLGxoahoaGWAHYVWkqh8PhcDgczmrBBeiND1eflxGEuL5cA0xEaJOPTdBLuoRHSi4zAC9vLfMYNjk59anvncz5F4j+dph89qfj1qPjf/eufetd7u9oa/r3//Gbx06e+e9fPTqRq8FwurND6+xoBYBc3v7Df3mumrf8xXeHvvLHW3YpyeH4AgFairyMM9oVP1MP/YXDMK1cRiMvb9snrN8FoIQCRogCICC3mygKfM9bHnsspRR7TqJZopkOzctFhIP8BckbSFZy9ZdmnexW4bgiUUdolOOz5damxuMANBHMCf1qH/us2t6OsS9vH/8KW8AkkxQAAaTyxyBlHiVXElEBgOZgSiSzauyQ2ggI4STUs4OuVCnSvXKi0UqLC57nIYQsy5of6LEgQRBYllVBtvZ9X9d1ljctiuLmdkNTGodoXg5GQ3C8+F+V5IoFfYSQqqqsOCcFTOMIncu4F+Og2O8czUt/ZhiGwe5vcVx6AQCIG9rHJyaaGhtr26E1D+s15xo0Zx3x+c9/fv/+/b29vQ8++GB3dzcAjI2VyBxraWlpamoaHh6uKRCPUhqGoeu6uVzOdV1KaWtra319fcklBwYGSt7bJUnasWMHV705HA6Hw+GsIlyA3shw7/Oy43ueWn7uUHI1L+FVQFVVAMAYI0R6hQdKLuMnWuuW7fOnJ0nypR8ceHagrPKSD+DrPzn49lfsXe9PUwihXTu6/9dfdgPAQ7888rf3nlrwLS110t//15cCQJIk//Ur+6vf1t/8+3MffesVv3H0ixIEIpT9bBOQg2jWlJ2fdz6bpuktnxxpGAYiMQAAQohCdnIiqW+TkwQVFeVDCCEzMwDXRiNnvI4rAWNIEtHNKkGWkiQTD3QHjyOgAIAAese+fFh5dXfybCg10GxgRQPowlEL7HRJJUPTwfWhPqsvCyTxfV+W5ZxsAUIAdPCat5h9T4qXvLaC9lpOOmSsaBqP7/uCIMRxXJP3uZj5jWeVCaMoSpJEkiSMMbubsembtn5AEseSPR2nm+HCW02/cfM2+6HCvwFOWc4xMX1JFEUIIRZkTCk93HBH0tzL1GdqZ5FuzTGe67oOAJ7nUUolSVJVlZXxRAhRgFhU8NzY8wuYkFNNy7i3awZKqe/77EuEw1n7/PznPzcM45577mHqczlUVVUUpb+/v/o7KqX0U5/61MDAgO/7juOwHsf3ve99r3vd60ou/9WvfvXJJ5+cP72+vv7uu+9e7z+ZOBwOh8PhrGu4AL1hIYTML5DFWSJjw30ZrezckJqWZSTJZh+0DgCqqqblqQ7h6QQkoYzWSSlMqq+eb95zHOf//cZhJ1zg8eznp4I3B8FGUiheeuOe/SdmHnx6qsIyXS3KF/6fl7AadF/4zq/toAZZ8OhIIB39RwUWODnPmK8PnBXpuDIMo/jSUFWVphtjRQcASqk9MZaYdQCQjymEgexmIUmKxTeimMA874IQW/WxVQ8ALuwYim7cMfK9lvgoW+yS4AcAoMejFVoiQColmJ8AACAASURBVHws2Vv4d1hrEpQ4wbNfiLIzs621b7p9hyRIiqKUjFdGCMmyXO4eizFeUdewqqpLub0LgjBHhsAYR1EUhqEoirquB8F5l67jOIqiSJK0OXvXPM8Dz9NCH8tqlG6Cc4Ng8i3XQpEArZJcU/7JE7hJtpqA1dOzB7e6jxMkjeiNTqYVEEJmWp8asj0PAERRxBgzoT9QTUMUXdtm4rWsqNDWHcRhImtAKZkarTTQA6Ez/QNdWzpX8jNYNbgGzVkvHDp0qKGhYe/evZUXEwQBY1y5Su18JiYmRFHs6elJpVIHDhwYHx9f8C0vetGLLMsqnmIYBlefORwOh8PhrC5cgN6YsPF6q92KDYgklS2OlCVbCEgAKCMOIaO9+ppgGwxRFDVN6xZ+JiEPAMqpzwDQ51/T0dEyZ2IQhh/7xmF3IfWZcejYqX17L1lKa9caf/KOG3d0Hvyn75ZImRAwfPTtvTdf08ueIW3Hfep0bdkLhEIAemUBOittd0IMULbSZsng4GpgmmyxL1iS5FhSgSSABW98OLKKOiOwEJolxheXRlJObHnzGXtyz+S3LLLwkzkj1NPF/xbUZ6DkWv8bgCAn7fAczzTN+e8VRVFRlAqCLEuuWLkBKBjjRR8Iy7KSJBGKPOYAQAiRJEkQBM/z5kvnbEdYt8fiNrreYTK0mURhXTvrBcFm5kD7+/YOfamwzPOpN12RvRfNJCfMV6bjEVeoN5IpF9f5RgbHIcEiCAKL5mAiFDlHMjUGmqbrum3bGGM33QwYJ/K56pyKRieGUGN7uba5F57JGwyuQXPWBePj41u3bl2wfia7hdaUHoYQ+vu///vCv3/1V39VjQB9xx13dHVttIB4DofD4XA46x0uQG9AuPd55RDEsqmUadxvoDERBQDg0zTRtFpNLusdhFDalNqFJwQaSmgB6W3Q296x/bo5Ewkh//83DlSpPgPAUHYFUw5Wi9e99PLfvGXPUwdOP3Zg9Ge/ntnWql6/x7r+8o7tXS1sXD/jrh8ernXNaQ2lYKLc3Bhpp83bHC9KymfOAkAcx4sTIgkhc566g8CXp4YAC0l9W6AtVUSLzIYD5vtke7x7+mdN8YkKSx5WXvUC3toyPRrXtcI8R1jX1GMiigAgQGnThPlXsaZphJAFe5iiKFJVdREBzdXg+7622DtMFEWEkPmjNBzHmeOYKyYIAl3XN/nYDtu2TRgK69oACwCAm7qfR++7dHBWg746+2/sRaf3lICh1T8IABSLTEpWs2O+oBJCBEGgkhIBUEkIpsYBACEUhmHS2G4iFPi+kIQJPi+5IjMNZppSUq4CARU2+A853/cVReHmTc5apr6+nhASRVGxBj3/pPU8z/f9trY2fj5zOBwOh8PZhGzw55bNCVefVw4rehKksnPPJjdtEx4aTK5vwkcmxZ0eCGUX3XBgjFOG2CP+BAAqZpYCAIwE3Q09r5g//dPf+vWEU4OmLGzQJzhRFG+8eseNV+/4L++iUKac3VOna3bX3nFl2Rt+n/kmJxJDe2G1dCk22Dmu2zAMwzBUFAVPDFJjeZJsQ7PpmHnH8SQCSlESp6aO1SX9CZJs1Ogi7Qxq9EAOkQgA2QTwRL4H2Shdn0izep+aHRuouyk/1XQZ/ikAIITmGI1N03Rdt5p8ZxZnUSGmYyks2v4MAL7vm6ZZslWVY0OiKOIatG3bBh2K6tuZBk0buw+KH7r0zD/iokEDejJ5vP2PAKC3/x8JzKrGrm1bepKf7bdwTNMEhCTTdF1XqmsSI49QcOvaUBJTXOKLo0L9W4QFx3UNXV/O/VxjBBsrbYmz8di9e/fBgwdPnz69c+fOCoudPHlycHDw6quv5gI0h8PhcDicTQgXoDcUvOrgikIIqZMqjXzsER/Kkc5G4bCK8kPJtQCbJTLVMAxI7B7x4QWXpBT6gus6eq6ZP2tgaPjkZG2yWkdmg9/Byj2jlhNAMYK33dD4709MJATmi8RXpktXODxtvH7GpZRWpZMyh9fiRFXbtk3TnJNcEQSBJctN9qgvaQSwHrtTWn2ChPne5NJQmgpzSuSHopxVMuxdVJAAgIryTNuVz4xuS6C0eEcAn6ApmIkB7B6YUWUpTLcAQjNNex6nuxqdsTAMC4I7QsgwDNu2DcOoMmAnjmOW4LESGvSiuwEsyyrXfs/z5h+gAiyhWBCEpcjfGwDHcQwYiho62cmGMq2HU/+t44Uv1UXnk3N6+/+RvTDjMXHsbGykdcsKXJd5zD3Ps21bVVVAyDCMmBIv08qWr2xnlu3p0KybOxWhsx7ZrdGNLWnxLA7OWuaaa675xS9+8clPfvKee+4pjPWZc0lGUfTBD34wl8tdccUVK321Pvnkk9/97nfHxsa2bt163XXX7d27d04HMIfD4XA4HM7FZ4PLN5sKnryx0oyPDm5daJkUHhj2OkaDXsNElmVRSgs60cZLhcYYq6oqCUmP8EMkLyyHBUSdVF/b0dFccu6nf9BfcromIS8qvfI9vT3Vt3YjMT4xWXI6odBoiTfv0H5+rEQ4A4YSsvWkvHfGlyit1nhOKRVFcU6ac/XEcVxSwbRtm3XY2ACq4+i67sqGJ2qklBu0QMafQb7j+z4LDanXvJzZGAvFKZw0oWhBSz4AnIIMhLDbnYmNOgBAlCCEFEWRZdlxHFEUF1eFz7ZtQRCq901XDzMyL64wYIWW2LatKErJMlmyLCuKQindnNUIi3Ecx0SDsZEhqgkAgPHgJe/vHzp22fj/mnOVRUi7/NJLgyA4OTBIZNVNNWi5cU3TbNv2fd+0Uk66GVV99YVmHY0jJM4bhiMrRwdHd3W0cA2aw1kV/vAP//Duu+++9957gyD48z//8znVCD3Pe/bZZz/5yU8+8sgjdXV1H/7wh1f6Uv23f5tNBDp48OD3v//9jo6O9773vVdddVW57b7nPe+ZPwImn88bhjEzM7OiTV0iha+zXC63AW6AnuetdyNR4Yg4jrPeh0yxH6tr/BKoniiK1vu+sGfqfD5fmCJ7nlb122v6HV6Tz4MSksvlpKrvQIX7bS6Xq34rq0sQlTI3lSeXy9Fo9ZXGWu+oruuuUHzissDatrxPlBef1T8tOMsCrzp4EXBdBxb6lhv0uv7mua6ejPjSDrdYZZNleSVEqNXFMIw2/JSJx6pZeCC+rmnrNQ1l5ubyea9U8jBG8LZr6/718an5syQMslw+D2VDM50tqwB+/sGRktP/6GWNY0ZLo3N6zvSs3EucqgytrEgdpRQhtOjTmElIgiAU7le6rs+5dxFCmB5dbxgTZks5K7QeOnF+pvgq8zyvTpgmWMgqaYIwwYLo5qB8dsF8jjt4mxqDIGJKWFwvE2QppYXnqCAILMsqWayvJEmS2LataVoURVW+pUo8z2OdATW9K4oqZXzDud9qlmUV/8QHgDAMZVleyz/LLiZhGCbesJrKRFYjO0Vx+87nGz/efvKehvDk+cUESwHI23ZgNVBACCEv3azNjAqCEMcxUAIY0zIO/ZKUUJ8BAICmG04MDPduKVurcGPANWjO2qS3t/dHP/rRLbfc8p3vfOf++++XZXnPnj1Jkrzwwgu33nrrE088EYZhHMeiKH7rW9/aunVBM8Pi2bp16y233HLJJZcYhkEpPXXq1Oc///nBwcG//Mu/vOuuu+rrS1f3PXTo0Pyvkvb2dkLI8n5trRwbY2gOq0y72q1YHjbGEYGF0snWEZTSjbEvxXshrpimDDUJ0LM1cmpYPWMdHZEoTmoaehnHa2Lnar2jrvGb8Jr4TJcMF6A3Asz77DhOHPpRFGbqm4qLlXGWiwXrm591dvzdgXYA2FEnAMzeIAzD8DyPxd3KsswMlSW/AiVJKhw4SukaF3osy+wRfyTAwvfBsaBTbnlZU8WI0uNnS6vYhEJJ9RkAfu+m+g3gdlkcDXUpgMHql//YW3qsljaSxNB3wXRPaHIjAWCBhwTm/w3DkGmXS7TnFGcQs6uj3De94ziyFoZlKn+qse+VdlKDJjoIIUnTJ9wAIFV92xLA+ckJq6lFS3yMMWtYYX/Z9RvHcT6fFwRBURRJkspdznPwPM8wjOX93ZAkSU3rlCRJkqQkSRaUrct5q0uGqGxCJEkCAF3XIQ6V6aEg0wYYAwCS1eE97x4ZPbZ75Gvs3igSHwAaGxpM3z8yOAoIUysTi4qqgu/7tm2rai7UazhFAYB1As2fHmeaTvUP9GzpXIY9XMPwmoScNQhC6LrrrvuP//iPT3ziEwcPHoyi6OmnnwaAwcHBwcHZL+sdO3Z86lOfevGLX7xyZy9C6J3vfGfxlMsvv/zzn//8F77whUcfffQjH/nInXfeyW5fc2hubp7/pSAIAkJoTvXgtUbh9wNCaF3fFtiIyfW+F3BuR2D9HxE4ty9r/BKohsJlst73Zf5lUts5VtvCtS2LMcZVv2U9HhGMa/pIAGO8Fvau1rvQGr9xrYWPdOlwmXLdMzY6LGUfNvFEPZ797UhHISD6aHJ5S1fZ0XacRdDU0gkTZeeetnd+9uBsjueuRjmfnxWtvBhsqrRYYj6fL1RdE0WxWMVjObOKohSUHRYdu2YxTXOH8AO00FCcqbAJml6VNqwFV/jzY7UNQarX0b5Lt9f0lo1EU2M5K3kJbrvSslraAAAL4hDsaYcjhVn9+qvCKsREURTnBzIsBZatLElSBfWZkfZnprW6C1M1ZvEkDeNcybezB2lFSZpVMRPOKIoSEDQaCWejCx68W4Vwh5YAQEKBAvzK0QBgFAx1Ylg3xOLfqaIoKorium7BrJ0kSZIkrDaaIAjVBOyshBsIIWSaZpIklQ8Qy25md5iCsF6B4vDrOSRJwksRsp6YMAwlSVJVVbInQ7MBnftRSFt2Hm74eF3fDzrdJ2Qye32pqnrV9i5K6XMnz0RmOsTYmBklhCDfrlWAnv1aJwTm/QwNMi19Z/u3bd2yxB1c47DeXP7zhrOmwBjfdtttr3nNa771rW/97d/+7djYWBRFlFJJkkzT/OAHP/jud79b06ofLL5saJr2oQ996LHHHpuamhoZGdmypcT94b777ps/8f3vf78sy+VM02sBSun09DT7RstkMus655oQMjU1pev6qpwky4jruuwXgmVZCxp31jj5fD5Jkkwms9oNWSoTExMAIMtyKlXb7421RpIk09PTxRc7ndGh6gcUoRbxDiEMpaILSy+McSaTUoSq1k8pzWaz7FElk8msF0nRC+OaFOhMJpM2Vv8OUOuwOcMw1vJIO/a4t17OmXJwAXp947puo30vuvAwIgSq4HYJT9ChJwmgY95LenbsWqUGbijK/ZCaCFoHvO67j5yfWxBuTNP8h6dtAJAw/MHVs87BIAhKekiLfYWO4yiKsjaT4DRN2yL+EqFK6rMb63797UbVMnrOr220y5/ftmuTqw9/8or6I4Pew8f8IF6gG2DfVd2F1zP1N7RPnRegqxyMtuwjKthIZKYiVc4Osm1bcV1TkiRZpghPaA0FXdiT9IwkVb5G2DXFNtGA8RZDp4BGY+FkIN9geHHg5/OzeRSGYdxssN+wlFLMko4VRSk0WJZlURTn51ewkQqWZYVhWLkxURQtu3TLdlCSpMqysmmarPAdVDcYjTW1pKrOfvqYphkEwYJpHhueKIqiKNI0DWlpwOe/ApAoz/TeNjlxzd7Bf2Ln+ex0hK7c3vXc4DgVJc9q0PKTibjYX+dlfn36mZbTZ892r+QY/1Vn8PShDuFJZccfrnZDOJy5SJL0tre97a1vfSu75RJCdF03TXN1tVFVVVtbW4eHh6enp0sK0BwOh8PhcDgXAS5Ar2OiKFSGv1RBhUOICkD36D87M6S1tm/kx9GLxnHnmm3afjcxj2R3nraVx4YX0EALaUk3dio1jVtnpd4upgBdvd4tiUhD0+XmBok6qb62ob3ZqGXrDYYwmK3WH3rHNelMen334S+Rk+NTLbv2tOyCl9w6OyWcnvzkPS/MX3JniyQa5z8rbNTBuUQTWoUALUlSsTF/uSCEaJoWx3E1XbiEkEKfTdr3ZEUZN5oBwAjtygLonL07Fy0NJsCNuu7aFwjBc8RWZkEqvgZd19V1vVyCXj6fF0XRMIwKVugkSaIoqsaAXCtxHLOMlJJzBUFwXbcm/7Usy5WFctu2mfmax3EAgCCKSRLH+WmSn5a7dp+f3tj5fMN/z4yObNly/vsXIXRpc+bQmcFEM/Kuh5sb1NyEn2pcttYg5NW1TU5NNaxh3+ISEcCXsZ89+tXUzndu8p5Izhrh4x//uCzLf/RHf9TQ0AAAGGPDMAyjpt9BK0iSJNlsFmr3gnE4HA6Hw+EsI+vbv72ZieM4Pn03ruhCLWBGB1e6PZuEZ8bNjzxx08ef3nvPcbWc+pxWEJOoJEm6+7lZdabDqtn8EkXRyj1as6cjSZKsc8iybFmWZeqWZVVwvGKM2/AzJWdRCqfcy2jn/9XQ1Fxre15xSbUD3G7dqb382k3t6B8YGpasujkT5bqG11xe4ln39psvKEomKGpwrpImApBwJSXUNM2CaLvsMPmy1qDzMAztfL7JHq3zphSvdP5G8SbKzVrQhux5nq7rc/TxIAgqjCeN49h1XdM0K2yXOYsBwLKsyi2sCU3TKhjJkyQpGfpZAUmSFuycYCZxZu7TNK3yfWOjghCyLItIKkJAAw8QTmYm5iwxozUMDA0XT5NleWt9CmQVtXUb9iSOl1BAOCh9BY2JZv/IaG31dtYPEaoHgJQ0NXLsR6vdFg4HAOCv//qv7777bnZjX4P85Cc/Yd96bW1tq90WDofD4XA4mxcuQK9LCCH2ya+rQrWhRyFKr2h7Ngk/f+7448MLP8/vbZaZa1KW5eCc6bBBq/lam6MBiaK4CLlKkqSS71IUBWPMvDBbhZ93CQ/tEB7oFb/fK/2wV/y+pREAEAQhbalzLDyiKCooW3JbXmI+I+796amxXD5fazt39mytpnTD7VdYv33r5bWufIMRW6WNjTffdGnhtSohAJAEsFoveNpMPEc5F5ZGAZJSg2AwxoIg6Lru+/7KFTFHCOVrP08Ytm372ekFY6kXcb3M0ZeLL0BZljVNq6xcM01W07SSgq9pmrquM8nSEXXDSsmZhoszLrsmAbqmZDH2gWCM8/m8JEnrPbyyVtgRj/IzycSQIYuWaQilSnpOy6kTp08Xn06NDQ0IIYgj26h369vnv6UAtqc7UdAlRMgr1RWklPEzImQb9S9M2ZNTpYu4rms6tnSzz7JVOjJ46ter3RwOB1KpFMa41q6+ZSefzx8+fDifz7PeWRaR/O1vf/tf//VfAeAd73jHmpXIORwOh8PhbAY2nV9pA0ApHT/2n83yZPVvCcWulWvPJuHMwND9J6vyqSGgrH5XGIbNBp72aEToEp1ozCsqCIKmadXIdsxeypJ2U+hsjmyJk0QURUIIiwhIkkQQhBQ9SQVdQXN1DQsNx9aORnywDp8dTS534LzfFmMsotKfA0IJALiC+vAkuSXJ1mVq6PbAGP/xrc1//9OxcgsYMnzsDTuaGzfsoPIqmZqawvpc+zMDS9KHXtP++QeGAMCPKAC8+yVNCF+gb4qj+wuvh7SXzpFTWcwxO3VXusocO59XTuCGc5XiqoeV6StYiV3XLTyrs9yMKs3grutKkjQ/7plSyizSgaRFURikmgEgRZIgn11iKAfG2LKsJEnCMGRXPZsuiiLGGCFU09EUBKEm23scx8zJ7nkek9fjOF7eqpVrGUopO9Ns27Ysi9LS/R450Xju9OCV3R2sX2RqagpAAkmmkyOosawnkVK6s7WJvWWnqh7NRyWinyktW9hdVseoMjUw3Nu5oWyPCKE+74oefT8AtMPDUxMd9Y01D7vhcJaRXbt2DQ0N+b6/Ep1wTz755Kc+9Sn2mn1Z3HnnnV/+8pcBIJ1Of+Yzn2lsnM3wmZyc/LM/+7P5axAE4cUvfvGb3/zmZW8bh8PhcDgcTvVwAXr9cfrII93q6eqXJxS1dvCSI0uCEPKlp0qnHtereOrCAnqP9IdbL9NF4kZR9JY9phfRh87UljPAcByHRawWB61WqakZhmHAaKvyLEYEAFqEg1QCQqU++lJN0wRBYBJ5jNOdwpPz394oHG2Eo+x1E35+Wn9lQcCqFGuQnM8a/sU0fbUR1eQGuqS3+2Oq/NffH5gj1UsCvPfmhit2b1vvJV+XhWxEKzhmW7d1/8XvNXp5OzedjeOka3cvAAAhZGYc17cAQGf8FFsyQWoOtRJyXiU0DCMIgpXWnQtEUbTSCcJBENRUyTNJEkLInBxn81whzZqaGkVRHMcsw4QQEscxQoiptISQWJBAz4jj/XFjp42ktGHYizWDF9pmmqbruhhjURSTJEEISZJUa8IJQxCEmrT74guTUprP5zHG7HNb4vFlXW6+76uqyj7ANV72kFIqotKdKsh3IV3/3OhMjy6kU6kzTgSqhBACs1JHHUJoaHi4o70dADDGPRo6Nf90ruz0RyhON74wMrG7dfliptcAbT03wMhsd1o6+/Uw9YEK8Tgczkpz4403/vM///P+/ftvuOGGZV85pXROJyWls7aGOdMbGxvf9a53HT169NSpU1NTUwDQ1dV15ZVXXnXVVZdccgkPTOdwOBwOh7O6cAF6nXHowFOXms/W9BaMqDL0RQBwEyNqfLOiavw3aK384OkTYSmH4pt3a//xQgmj3yNng1dsEZIkwQh99YDzgX1mhYTWCti2bRhGsYizYBEzSZJUVekVH5gzHQEIKNohPQgSUAAEcDx+dYdYQn2eA0ZEE86rkuyhp+QJdMbfAYXh4Aj97OzMq7Y3Lbj+YrZtaf/S+9snJ6eHRkbjhMiyvGtH9yYMlq2EVEZkmRyB+haEkGRYkmGlCskblMLEIDbrACA58bgKDgDkxJ4R7Sbv3HmFEJpzmm0MFlHJM4qiaawVh84s+mNh4QzsNUJIEARZlgVB8DzPwLmsrJOGdnF6OK5rm4ZUasmWYWa/LR55vegSprVecfO/UM7Xe1xaH4Omaezt7MPRNI11Eix6hStNGIaiZsSjZ8WWuVV/qe+gdD0I4qkArFN9EpZmpXRlAb+kLZwP2VBkuT47PqVWm5h/futG+vCkvSujXZzIl4sAxnhI/q328DsAgBEl/f9Cez7If9twVos//dM//c53vvP7v//73/zmN/fs2bO8/eXXX3/9fffdV82Spmnefvvty7hpDofD4XA4nGWEOwrXE4P9py41HwWAxaU56IKTnv6qNHRnsChb3KaFEPKLgdK2u/nqsyEhADibm636RSlNy/QLT+UXraIWmzEBQBCEkvoLG4NvWcZu45fz1ec5sGf0XvEHVT6sB9QsvJYkKaalU0d9dMH0QJAXJ7s3NNRdfunuq/ZecunuHVx9ngNWy8hVSQQIASGQm6Jj/eenuzkiSFRR0ye+uRseBoBp+ZKzwr5iWVDX9VVRny9ChbRaVYAwDFvE5HyFwGVqIaWUpVKwhGiEUCo7dG3+zp30EbYJ11yGMGiW77HE9SyiK8JxHMMwWHHFObAutIKLvHoQQsWnZZIkSZK4rquqKrNXr02pMQxDFIfISJWYVxSGk7caQzJ7aiGEEEkkL1/uZCMX9jm1NDUpM6OLaBuSlaP5IFnD8n2tNDS29vuzwfciisdf+PbqtoezmWlqarr//vsdx7npppte//rX/+hHPxoZGXEcxy3DRi0QyuFwOBwOh1MBLu6sGxzHbg3vY9ohe/I+Ze/pMY/Uuh4BJebkV9zEFFE0FbWLddek6zbUyNxlZ2B0IqnuSWFfM7phq/EPT9vv3GsEwaxpeCoAAPj1aLSzZhGmBCUfWgzDwBg34YMZfHYZtnEh/fH1c0RwCfkA8ET2xa54gRg6Jc0dSz44NLytm+ePLxtBECBcxgHdvAWcHA1cGga4ZSudGEKN7RBH4ORwutE8c38TnMhL20bV67yARBd2DKyWlncRnsAXsQkWZ2EYhuu6gJAkScsb+8BEVVVVY1G1xJneqf883vDGWFKtc27fRZMkiW3bsizrul5rgUeWyQO1S/YMdotgKS5xHM+ZhRBSVVWSJNYjVbBmy7IcRZEoiqxWahAECCH2aZe0ThNCPM9jCruiKACwuIyRlUMQBIwxxnP7ACghgqIWS7/IOu9i1rLjoWaWjXIWpGw2l06fF7V7tnQOj43PqOkFwjfmgQTp2GR+T9PGKUrctO2WiTPZRnkAAJqUs2eOPtq160Wr3SjOZuQTn/jEpz/9afb6gQceeOCBBXwA7Na38u3icDgcDofDWUNwB/T6gBCChr6O0QViClOfvUTzk9pqnmBETTGvCn67eqrZ++b42PBytnXD8cTJiSqXfHqMUoD/+1pLxwlTcwrBHccmI90wlz4qM4qiOU5D0zQxhl7x+yuhPgOAD43zH5OO5q88q3VMSPXFf2S+7LISDdrEeOXktsClY/2gW6iuBTd3AlBEEgAAUYKmzniiz8TuYfWtJ8lVOTuYL6eulgB9EbIUFqdxF+IjRL+vSTjJtM7lxff9PngFAFjCdMfEz4CSaavFNC3WmbSUNYdhGEVRTcdUlmVFUTRNM81FhgUxmAxtWRbzKRemU0p938/n8yzJ1DAMy7Isy6KUGoahKIrruo7jsFRT0zRZdnbJY8e85HBOeq4pZf4igDG2bRvpVvFEmsTtQnjF9i5wsnPfQCkAIKCxrJeoLnhupUNIPTM0Ujytrbkp5UxVbgz1nBJTVf3IwMb5xkcImV2vy0aznehbpaeG+k+ubpM4HA6Hw+FwOBxOSXj3+/pg7Nj3WuRSD5MAmrCk5FAAaAh+AvCOJa5kA3N4qgYNCwEUew9lDJfVw6EpmPAoRsujuBUrO7quI4QWzNxYNBQgjuP5kuXz8q4V2iKnAnFS5vxRdNSoztohkQAA0Dxbd9SbGIkbe4ezVlDGEruKUQYXIY520SZrhNDZfJRAxyuVBxJoGg1q6+SrBtvxjhu3bUf3dUjHmYgPQwAAIABJREFUnbH0TMs106kWoNSQs3F2ain3Ct/3ZbmGABxZlm3bLpigl0Icx/l8nqWKE0IQQgihOI6ZXsyaVLifqKpKCCnc0JIkYctIkjRn1EUxhdPG931d12VZrrDwRSZJEkk3k+ykkG5gUyghvSlZ09IAcGVXx6+HJpFc1J+BEADYgooq9zog5FoNR/uHdm1pL0zraGvNTbsglpXgkaLROEbzXZaphpHR0daWlip3qm9g0NfSFAuIJjgKtcjd2tlZ5XsvAgghecvtM2e/mZGnAKAl/F42+650um6128XZXLz97W/ft29f9cvzosocDofD4XA2IVyAXgf0HX2iWz61cutXsLucI8w3HHYtn86xqWhHRnfPF+2DQ+dsamezUbuhLn3MOJNpGIIg9Ag/WuIKK4DmPSaJ4PTZexJZAIAObywQlAm57IDuQzQNp8/2dM+tx8VZHJWk4nlPs0kYuGEEqUZMYq/ohAQAXdd932deVCZA6/oFJ+2GofhiqQnbttNa6qCvTkatHdLjjnnbssdkU0rztn3CfEMP/cEu7elnRurihg6QFEfLKFgyg/ycLbIkZUpplXpr9QUAmad4GRNRigswAgDGuOQJJooiC4kunhiGYRiGmqaVrMqoaRpL+WArdF1X05a/b2DRIISIIAI6fzHWhVlN6yzM3duSOTDpFMvNNArQBWUvy0IyTUdPnNq1o6cwpT6yp8QSSiulFCEEGNOxftQ6LwQJoWk101wk/VfgyEQO0s0we/MRiaQ4YB3JBeLkcO+27mqafRHAGKtdbz118vEe/QBGVJ/4t9j4AM834FxM9u7du3fv3tVuBYfD4XA4HM6ahvfAr3WyM1Pd0uMrugmMiDL0RWnwX/pPPMProsynvSpxYJYHTwUnphPdOF8K7NbuWb/bfceDZRkwXrCsMvlAQHHFxZdhc7J8PndYRdkzsPVSmLkSZ5sMpVlB3VBe5ELoEKRP9A+uaAs3D7Jc7fljD/S5IICsAoCWnyzWYS3Lcl0XY8yso7ZtE0J8319Epbglsmh1uHqW4iNOCQQA7gtfejLY2wv3zdFJlwvbtk/Cb0agjqQ6//1XQz9/qg+SOFCMGTllWpZlWbIsi6JoWRZCKCsaLuDi67Ecc4KYKyOK4oqqdYQQViDRNM3iPBNWVNB1XVaosEC5j1qWZUIIO10Lcrbneaxo5KojiqKu6ziJhdSsKEyGj0dhfs4y3XJRugilCGHDnsRRUM0mSMuWM/0DhX9bmpthskSexvnviNYufbpU4AbGx4fHF9zcxOQUKKX0fYTjxo4j+ejo6bNr5DcDQqhjx80n/JsoBREl+ZNfXyMN43A4HA6Hw+FwOAwuQK9p4jhOTX314mwLI7JDf3Ky78Gpsb7xs89OTwyGYVWPxBuel/fWVrLpwb7gK/sdJhI5jjPpnZfAfnxqqXkpAIAxZvoCxliAsn7qmFSlKPmJPiTfbkdlFRwRhYUh87IsN+Hns2KqD8zTRD+QWGMRTi+kgB9OzKgWOYxTDtMw6EKKauK7+Ykx2rwFAHAcGtNDTj5XmCsIAisBF8dxcUQDIYQV37uY44IvgkUxjuNF75HrutvkUKDkkfhSSlE7enqFEodd1z1JXqGREABGfbjviX4UeFTVp62WKb3BrWsnmeYZrW5KzciyiARpQQGaqdXVW7bZkit9OGzbtm07CAJFUZjirOu6IAimabLWFnAcp6T9WZKkQgHDYtaI1MiuKUoIsbMAkDjZLW1yJkWnp6eLF6uvq9Od2SlkfJA1nkjV5oy76ebiI7u7awu4lQ60W9dWcjpJ1ZfNlD+Ht1D5TdLQ9sK0u+B6Lhpbeq6YMH/bT/SMNHn6+R+vdnM4HA6Hw+FwOBzOebgAvabx+6pSn5142fxfHeqptviHneITreF91sTdY4PHlmvN65fLejp21dWWk+vG9OAEQQiJonhd+6yyUK/hl2xZBonHtm1VVU3TFEVRiMf63e0Dbs+Au23A3Tbgdg+63YNuVz9+Q9j2exNhpaTOgKgDyY3Q+c66+kZTKh0QDAAaHSlIeJqCnnevEmjiUmEGJIJwp5w8T1MLtnlkcnrBZTgLghAi+UqfpD0y4GIZUvXsXz0/URzXIMuyruuSJBkXUtDvbNtWFGUlau7Nh0UDr/RWKKXV+IVLQghpwQHr7HnevdGCIUsJVyIym1IqCEIncf7gCu2NvYqfwDeeHAFmiRVEinAgqt7kxHefGda9nCQItqRXEIsFQXBdt1Z3eRzHF+e4A0AQBMx6b9t2FEX5fN51XcuyFvTgu65b8mgmSbKKUeYFBEGQZRmwwIoQUn/Wo+17g3Mk8t3bupBnAwBu7oQkjiW15AppyYOIUL9Pi/5Du5rS4C8mP+f05LyiiBdS1Q9EST4dCdMzM4towEqQSmeg850D4d4u7fnTJw6sdnM4HA6Hw+FwOBzOLDwjb+0y9MIP2uTcwssBGOJ59TAikoSXLdJ5C/rpRL5N07TNHKeIEHrPrZccOXn27ufKqrTzaTYwpVRRlEPDs/a0fa2SJElLz4AGAGYP1AzzM8/UAczNAL25Db1xRwcAWN2vz4fByVMnHxtMwgQQAoygQSH1anzV9u66+oYmAACwz35fK+/sbJMO5eE1TPVuw0//Al7kYQUQAkpbgqn9Sn0r8odhgRjW4ay7pdqSV5xKdNSlhhNaUm5zhvtpw3m3IyLJHLuooii2bVe2i3qeJ4qiYRgrXdiNqa4rugnGUrbied4+U/yVo/VD/eUACFHDMJY9DBoAoiiKKFUEoUkFAGjTyCMHhn7jmm0oCuOZyZOT/sFpfEsbjuOYxF5MqJhqMCM3iWNK6fxbSmU1VlVLJ9FHUWRZVr5MscoVIgxD0zTDMMzn87IsY4wrpKaUK5OIMV4LJugkSfL5vGmaYeCCZjbqPgCmlCoy7us72tOzu7AkIYTi2dMSqXoAeskVlq1MqKhjExPNjY3sP4xxb51xLB+VqDdYmVR9FMdS+XfpqlLVTxCAEaz7I6NtrWviLo8Qauq+Oe9fgwZ/OTba3NzSutot4nA4HA6Hw+FwOFyAXqvEcaTA5CLeuIzqM6Mx/zWaBz8xwqa3qOoaKvd0kfnxiRpUp6600Koj14UkSQbPve/BvsCPkkubShfXqhVd17/8XOkmve66nYSQ431nftnv92WJG0Oxle0EYADxpwMjf/XGeoTQ6MjgVqm/8rYQAk3TJBG8WPKxzPQticajaoOSBGkxxuAN0krnxoiUJtXVvOJURpZlYXiY1F0gqfhjQ5GZgYYLxtobuXF73gj6anS6OI7jOK6+hN2icRznImxliWddHPgqUkepQSjeCg+doS9RVWNZupGKYRnchJAoipp1NOziqxrIt355GgBEBDHFALCrXmYxKf/7aHDbtU2eagGlAFQLHURBiVwEkCRJFEUYY1EUBUEoqPyEEIQQQkiBGRXOTqKu+XchVv3v4pejZJ1brM/DNM0oigr2bUppsZVbluWSavvaubFIkoQQIoGHNVNTEKUwkxMzqThtkVwul0qlCCFHj58ItBRUU3iwfEfCJBGbi/4VRbEunJwR6+cvSeMIiWU7GKey2ZaGhnJzM+n0SC6cX+C0ZFNn9DoyMtLRulbUXkVVW7a/NF4oRYTD4XA4HA6Hw+FcHLgAvRahlMZxYnS/OQDoO3Fki/xMscd5EURElnC48HJlQACa4KiTXz1FXtXR2b0WBjtfZIZGx/rtEsodAiip571hp14wEt7cbRzfP2smfWQg3ttaerR1TSCEjkyRsNT47JdvxQdfOPH1owsMwA8J3Pmzw9e0K+NmsxxvbVXOlluSUmiBp0fFfduFBx7yXxPKMgBcinJIoBhgP05NxnGDGANQgPInBkLPnBnd1926CU+eZaezre302bOoqRMhFNk5nwBkmkssRy9wkgqCUE3khaIohaRj0zSDIIjWuYKzRG9sFEXXmN5jjn6f84bbjO92o4ePCm9YrrYVY9s2qw+5PaM6YXjcFuplOhXimAIAvGO3whYAgLdcUU+BREkCggCAPMUCAFedDWJCJGme/FW38cIFa7/QBZ6HLX4ZN3GSJIIgXIT6kMWIosj6Ieb0RrDqi4V7qe/78735lNK1c4qKouhraSTKlFJAMDEl2LadJFZjfXzCiVGQBwCobwMAoBQlERUXmQ8DmhFFUXEoeVtLy8xEFpS5ZmokSpSWHjMBANNZu4IAjRASnGxizR1kU27pnNFgZLOZdG1VE1YUUZLCMFx0Dg+Hw+FwOBwOh8NZLtaKb4hTTHFxsG079ohbf7fKgnLlWIr6XAAhul34YdJ/z1oY7HyRuf/QeMnpFT4IVVUBQBCEr+y/QC5BCC39YVjVjYdOl/Zg/uQsWVB9ZhyfAU+QAeAJ8ZYDuevnLzDgbn8h+M3TyUtjnOpAP/+l/bJJOQMArdQREQWA/TS9zR1KBBElkQ6VNtoZTgZ6+rFRd3R8opq2cSrTvXVrp0zzo0O+rINaYvy+GPnFcrOqqrIsV3PlUkqLy8FhjDVtBcc9eJ6n6/pFSx9eHK7rNovJNNL2+zcBQAoGV6gfxfd9y7J2WrEPQpDAVIgNEQDgykYB4gAAKKWO4xixB5IiyZJEEynyxekRSM4fa4qFrNhReUPbhQd7rBMljcNhGK7oES9JuTMzjuM5MTJr+dvHsixBEJBmIkmm9gw+d5JEUUQIAKXsMKEkVnMTQBIxrGooTLldPjM691upS5eg1MJLOV13tDaWXGc5hkGtEKKyKhBC1lqTOBwOh8PhcDicTQgXoNcchJA5D5xRFIl4xat1VYkh5mHgK9mZTVRTLo7j4zUWWLr3eWfCnx37/4FrzJRy/vn/H57KF9vWFoEkSXc9tzz5vPScZ7nP2PEr+9aIXNCwTv3kbuWHW/AjB9wd309uG1Rm8z1HkEEpUECIkik5NQXKcZzZiR0AmoISVsRMlHdTLQAACB1PtInpTXTyrBx524G6UsZnADH0xJmxQlgBy17wPK+aNGRmgC38GwRBGIaGUUVcwKJIksR13SAIdF1fO0EKcyCEbBOcBiH5NdnqJKk29EzGQLpeOrd3KURRxPIo3txNf6NDur1H+J3d6nsvU/e1iMzk6/u+oiiObRvZUaAURAlUHTW2S5IkzYzCOZUtVha2oKbxgGHMCs2appnnUFX1ItufAcBxnPknAELIMIxCY9hpWS4DmlV8XV2jaxRFkVEHADBxttPMFU+PE5Cn+0EQAUDNTyaCCIIY6VU5hcvJx1Gqcc6R0nVdmCnTV/p/2HvvODuOMt/7qeocTpicldPIlizLchDYxjgbm3iNSRtIay8Luy/3soFlubt3F957vRfYBdYsL4YlmMWAjY0XHHDECSNbli3LkkZZI02eORPOOZ1D1ftHj47OnOkTZ0aasfv78ccfTZ/q6lRd3f2rp36PH/4KQZONpTV9jDE/MRS+rh02CIrxwb7w8mcRx3EW89BFRERERERERERExJuBRfrB/6aFUpof/pxbOC+VTzkhBpE1IDJWk/6z8dTovNS2+NGqd0QdM8gvDliyLGuaxmCUsU9fQQrwzEl7LlqbIAiOPz9NIr+WEantEXLzC/o1A+bKAXPFoLlywFh53NjwW/MdGUZliVfnnPaB8QFRShlK0qyqeKYHuM+iLFB/lgsHSzxWiZ82M0XogM0vninzS5cBGq61Yc8RtImc+sxxnKIogeFvhYGQBcUCjVhV1bntbxkMw1gISRcA5iX40bKs9aINgB6wrrOIvBIeR87oQujyQYxznSp1SR7nW9lsVtf1nDGFJEmBlGZoWWVyUNLGcWYcAAAhaGjjGMykxwDAZyvy+VmJn4jFYoqisCxrGEYQ826a5ryY1FeLZVkFAyQcxxmGkbt8sixLkhT6NHQcJ9DNz64AzbIsFRUASEgeQqd7V9/3HRe1t/DUcwHATDS7SnIetofQsb4BOPXaEJyZdcs6wLVDyjJFJlFx/GsHjg6NjJbw51m9Yjl4IT02Eoo0s/rmStx+zjCz36wiIiIiIiIiIiIiIs4kkQC9uCiYbhzAcVxBaGptJPiJ4B+UznX+OELQZP3qTTKt1XVrjAf85UETIWTbtsrPOOGHxr2ahRKE0OPH5y8B2kypkSI8Jja/zL/lZf6tO/m3vCy8ZY9wgcNLcU+LeYbq6QAgEAcAjvrCUV/wMAsIreWdJrA0PuYB1mfZyjdjlxRoHwgd7B+et0N4U9J74iTg8HBm3jHyk8hxHJeTLysRoCmls0dHAl8OVVUXNEiZUqooSqgdhyAIlYRvhzJf8bwmwSJ4GyTf7/oopbBOeNG29IVQPCmlhmGw7PRdU9DNBocT6NTm5DjW01Kqj7N1AACMcX0LRz1kVTRmxiJnLfMg6w3N3sqZhxCSf+lVVfV9n2VZSZIC52vTNG3bDk3/6HmeaZrBeav8isyvj0osFnM5CQAo8RUZU4BU6rTiaVkYANphECgtkVqwWrx4Q8/w+IGse9RGBzRv/6RxcCjVwZIqTDOIf9dr5ld+O/LXv+j5l4f2Do+GB1AvF6vb58P9g1WVPwNQSs96I494w0AIue222770pS/llti2nc1mF+HQS0RERERERETE4iESoBcRxYQShNAId/3c6899QSI04+uUlsgdVxwOu5MjB+e8U0sAlqnxNtFdCgAsx2vOjBPuEMipS9Uiy/LB8Xn7wkFhemI9tdbRdDedWk+nNpDJNTSr+JYuxhGCBDHing4AJhYsZjr8bY+n1hFzHdIAAFEq+KcHUbrslCXFZ28iLS6iLFVLET3eVOwnxtJzUaIMwwRjWrIsi6KYS+ZWghLzLTRNEwQhMDefd1RVNQxD13XHcWRZzg+4VlXVdV2GYWqLwp4vRUBC/ofOX7Gte42qqiPeOoRgs/TkHO10iuH7PiFktpY6++oE2iubnUA5jwWWZ5KNr5lXViJCUgrppgu0eEv+uV2gS1wW0zRzu2GaJs/zgiBgjB3HQQh5nlfWKzw4aZW0E47jRFGsrUXNjnznOM6S64gcBwBAOBjZ43mce9T6PgEAnsONVtF0r7XA8ZA3vwSxHFETAyBSUumgS+rEidy/+7P0/z41/E8PvD57hoosSa1+Nb5P9a1VFD5TREHQEfPI9773vfvuuy/35x133HHxxRe/+OKLZ3GXIiIiIiIiIiIWOZEAvViglJbwJWhq6ZxI/OGQvdr1OYeIGbd+Hu0MUalceqVg7d7524vFiyLXmJIrY5FBi//3Xdrsn17or9GF43h6PmO4SF4PwFO/m0yudcbixoRnmZZpGtmsrmm6risC302nxpVmi5UYAERJlzmyzBwGAKBUJvYhXGcTtAWnV2DDZqZVM8m39GRb6HYpZqNgtJqxLAuKTKjHrpU/i0IQhMDTuVjo6GxCI6BzmKbp+/78emVgjFVV1TQtUFeDONYg4FpRlOAnQojjOJqmKYpSbYq8IJB27vtpGMaxY8eCdtt27nt0Pw4Aa+DhBUrZZ9s2QkjNo0Rsr2maSmYU6Kl7CiG/efWrysezXtmRHgQIUYy1unY5nlRjMSWeOFtm3L7v5xR2QgjLsqY5PYlEURSGYSoREAMjkdnnCiHEcRzP84HriCiKpmkGJYPTW/l+Bn7TACCKYiwWU1WVlxUkSIjlgl8zmg8AiTjbWE+CmhFCvk8BQJFxInu8qrR+VYNQUcONmVBC/qun8JROWfA39x3Ye+hYwfK6ZDKhjVe+53OxDguilRfCtTl0kllERM3kWuno6GhPT4+uz09+joiIiIiIiIiINyTz8FkeMS+U/bRWFFVZeW0gMAgA45kpY6qvGb0iMlU7FJfApyyDKg0YVHFqHje9aOF5flsLfnmkasGUADx6PPxzd3/K29bMVRuQJUnSI69Wbc/KIvCKfMhb7HREYT0xGjxdsyxFUVKMEjMnFVnOWTcE9qyrRYoxBhFPARpRW1niAoWEp6W5GAAcQvFue5ThmUZw2pC1l8Qlpaimg4jvebX7kLzJGR5LQaIl5AdKZX1Sywv4LZG3rQSl9UfXdX3fj8VilcRTlyVw9c21tHyChQXasa7rgSwbSOEVboVl2bnHQVNKp6amDh06tHbtWoZhuNUfhd5vMsibXyeHfGzbnq2X8Twf2m9omia4fU5DB82JjwxzOPn++NjONdJrxTYx4eU1JIQcinni6zNd7xFCZyCBW3AadV2XJMm2bUmSgqEOSmksFtN1nWEYnucr1HcKzpKqqgghwzAC3ZnjuFw9juM4jlOVAG0YhiTLEkK249j1HbMLpEk8AdP1N9b7ACqllGGm20kyzkKmd0ruKiETo+wkESTEL2woeurESVLkwn7/Ff0W5+gl567OX9je1koGh7JqQ3kXEYQopTXcGqZp7h4cTwtxAABKY67eITFdzY01O/AUQCktyLMaEVEbwcOLEBI1p4iIiIiIiIiICokioBcF+ZFfFRKLJ1uWbUJdfzwe/4NB/n1jygcH3M1z2QeTJgf8bcf86yrfEZnVTPNNEe7x/res75jXfGPr6tkaEvGxLFvhxWHyPvyLqc88BooZAEhQpxU5DMeBHJ/wmSxwJ9UOz/OCwMAg3NX3fV3XA9VmHU0DgIdYADACIw5Km+yJKT5+hKopEE64XBPnczRcHxTM9KTpPNaXyQ+Czma11MTEaGp8YmIyCo4ujcmHt0UlPaLnKbksywYaXLV9S1nZiBCSzWbnnpZQVVXHcUqHZs8eqAgE68CRo0KFi2VZsTJisVjpAr7vHz161HVdQRA9ygIAhvnxmK4Ex3FKRHM7joPozHsHoUzzRfvty4qtchJfmPu3K8iM5xQMBgTx6fMSQl4aSqmqqpIkMQyjKArGmGEYn9B7Hxt4/PejACCKYlWh2aqq5gtD2WxWkiRd1wPTkoLClmXlN7MSG0IIKYri2LbjONCyIrQMk2h0XHKqPDTW+xgjQmBiYrrPjynMZH+fPxluuAyUdiXV7noVZSfKHmbt+P5DB0rdevfsNZ585XBB79HZ3tbkZqlfZjin9ESKYpiW9UzKmVafAQChLK8e8KXHh7R9Jwaqra0YUQrciHlh5cqVg4ODO3funK80AxERERERERERb3iiCOhFwVy+iFQ1pqoxAIDEW82TRyW2FkXYJfwEWdvC7PHgEEKQ8tchRBvw4fIrOo4kzas0uyjBGH/2+nOOD4w8f3g849BRE4xa4ynftU761SGTwTXOUOYZcCr42PHD6j6vmTs25a9KMq+PuYRC7JTewgKZBH4YSRJ2O2mG8bK2TccRdimbFWJJZLepOIjEdF03UB67qNaH1FZnfJivBwBAaEyoR4QAAhaIzDOtRAcCJ4XGGXtAKZcZG+CSgAAQvHLw6BQfl317WUcbFlQQAAA8gHue3bt72N/Uyt3y1rUL5LG7pCFM2DmhFMiMcSxRFHNiIsa4clm/QlU3MMSwLKuGz2+MsZwXYl8ajguZKxAErgYRsrP1xAIopRU6kFRSzLbtf7zn1cG097Hztl7a+FICD2rQUEnl80KJh4UkSQYbMqvAatxwPBNXFBUwdlIvd4rTHfte83LafNqr1xUUAlikY/kngWEYH2FRFG3bXlDlLtB/GYYJmt9TL474BB56dlg3fQC4+pLzXdet8CLCqfD5wL9FURTDMIJ/x2IxwzBmt1jP8xBCsVjMdV3P8yRJcl3XcRyMcS52PsiICAA+ZlHbKs/IMnl3CjH1mDvMc5jBYDl03CRtzdMKLELQUOcDQH09Ryn0DrvPT0guFUAjjaMDm1pFnMhrP5Q0e4YSrwOADe0t4xOTo5SFBQiFTvX1u+W6hIcOWVnr4Lu3r8/vExobGhooPdQ/RJJFneiRqUG8vtpder1/FMRkaH19TGzoxPgWFTU2VF3tbBzHiebfRMwFhNC2bdt++MMfbt++HWMci8WC3um9731vhS8tqVTqDAzsRUREREREREQsKqK3n7PPPH7VG7RegloEaA47HXgnALBgA8AkXcvTbAz186iMsuPbaYC6Gra4FFnW2tg+mjnQ6zhziNC1LBsAjk54FzaHT6WfXy5q59c1cDEeUd+zbXtbExYE7vLl4r/tzOJTksI4mlY3HMSajDjKSj7g3CTrKSSkgWNF2mmOBpPxA3/eLtD6pAaeUsG341Z6QGyiCAPQdUhLIamPTcanBuN6X6a+K6iHce1Jy3O4aX1BIG6/2AQAmBKc98FGKX1pwPcpvNTvvvTz/Z+7omlZZ/tCn6UlRpGv1uAzOPcnpTSXLa2qllb5xHld10VRZFm2KmfVIMddhepz6f0xDCNw5Cgtj86vSwal9A+3Jf75yfEfvsZve7vcgnePctefsbBKhmGKbatEzKmkJBJ1SQCg8at7jworpL3H9W6nZV1BMV+QINkipUdzmr7ruryMEEILeoCqquqxJoflwPcQQunDR376yIyI1988P3LDZa2U0qpamqZpoijm3whBHHToiAWlNPiV4zhLqUccL6dHCC/B1DjP8wzDuHLSEmQgBGEECDHK6fSqfma8K5ZF0vSNKQiQiM2YlR80wJGU++SIZNHT0mfKY3/b7zWP9J/bmUSy2uxpdYkExqcfqQ31dfWUpiYmxwiLxDy38clRUOJVCNOpQahvATy9V5SQX/dU5Ob07EnX83tuvmzjzMNB67vaNV3vy1qgFKaZpZ67oSlURy7DhFDKstxjuJcN2pjp37ays4bK8wkMphfOPCfiDQ9C6O/+7u927Nhx4MABQkg6nQ6WG8Z8euJFRERERERERLzBiATos0zgSDhftfnJy0C/e+71rGEeMmjTCf9KALqa/Q2GooIrYhckAdciZP+hoz94vdL4uxI8dpIAwB9tVioX4HIQQkqHP3MYckFtHIbbtqqapoHrmKe0I9/3DcOYJBIAeLOuqodwHwrxVaCAONc0MSeeaq7Bzq+XbYvhT7CxMVWMW9kOngqIHCOyCEAxm67rytUQm+g7LjRDXuguQ30ADgAKslpZU1P54dtfe3o35vj3AAAgAElEQVTsf1xBl3eGGK2+OSGE5FSkfDDxCCFnPgOSZVkcx1UeYV2tfTMAaJomy3KxD/tgRIRl2SDEtfJq54LjOFs7hVf67ePGym51nyRyZ0yALqaaKYqiFcn5CQBwKtMsQqhtzeWj6U2TqhLq5OtzgpNoVpnxXBCxHmtgTJ1lzbn7aJeAshwAAMNSgNi6dQBH8n+9/8nBGy5rrSGDnGVZgV95/nljGMb3/dlKdOAqY9u2PLnbbN1uAcOyfODxaifbAGMEAGF+r8ixKlEzHx+RHIobWTflzYiRHHW5p47rW9Wx7nMLhwQAACHU1FDfdMpLJ1BOUazjxNCIUbkA3dC2TmFS4+MTWR0aWrODg7P7/2K8MOCv6Tm8pXttwXJVUboVhVJ6/MQJm+GpqCDbVMDr6uioUdutwFo6xcV/d3zoLSta5ygf27YdjIRFRNTGmjVrXn311R/96Ef333+/YRjHjx8fGBg455xz6ureLDEZERERERERERHVEgnQZ5n5zcmeSCQOpt62TnxmjpE9CIEAGZGOWqg5Q7qS+ESxkgz7xv+Eo5T+9LmeV8fmLQ3X9cvxApkG5k+p/uA54Rp3LBb70c4sAGQdAKAARdoKpaJnYkoMTgGEDE5uyE7wkoQZBigNhE7btmUJd9PJAygpAumhcURInaeLnmcwHFDgrDR2rEG+ISXOSJpX72YmuOm4OXbm8MYrB/oLdqR3wjiZPvbW7hU1mIouOYKkRgihYgeLMV4nhTYebshLyJTOPQKrWg9u13UrFH9r1ojLZnnyPC/QqeGMxKA5jsOxGABeGa3rVmElefioetOZkb9DT8W0PzKl4RIepfmh8QCQSNSNDwyasXALBZ8TtLp2mRklCGuxRgDw5Lhqawt3gLqu8+y4E5t2okAIfeHTG//3t/bnl/mL//PaNz6/2TCMqtpnLmA8504TJCGUJCmYyZF/UAiB7+grxN0xLvO6uxXXtRAAWVF83wffBSwU2wqP3aId6Sl2H3cdygPA1gbmyVHq08Lyr2jyxSXz4wWSa054bUrETlT+GEHo0NBod2dbSzMAwKG0BBBym6DcSMVM7nrNqosPLe8IGeFACK1aseLUX6VCmMvC+a4b6i80kyynvHRs4KJVtcrcp4iyEUbMEVEUb7vttltvvZVS+vnPf/4rX/nK1772tWuuuaaSdaMA/IiIiIiIiIg3IZEAfTZZiGRrK1ZvzFgr06k+gQwQpGKqiXSMAOtSpZk/Vnk9LLK7uJ1p0smjomoOoUiNFU6/fYNBKb3rmf17x+ezzlUNYm0ameM4dSKatIpK4fnyQYyjxqygTF5SXX9aifEoKFZWF2dcQdE17KnMQYP3T+kpGCa3trC6GO+Ld4muKQBqpdNhtr7vT4dCK/SYkFhhT3j1bYBkNDk8alMAABwHMaSF+Oj0Z7+ATt8FlPjP9824KVbX4SN+DHxIvT7wns2db+BvtnQm0zup2XJdoCEiz0162ur2Ft/3WZbNP/ACMTHAcRwc58A2QnWlqqjBnTzQ8nzfL2HHrCi1RP3n6i/mnJBPcFupqmpZVn647kI0m/VN/Iu95pSFKACDfOSkVLXxDGjQs4+FZVkkqdQrPpbpWGyi8DZc1dG+f3iCyiFtKcCIN5fe7jzC87yjzDBtaFyzoqP56MDo6YOKq8yuMW9bs2IHCQArIBaLEUIwxrZt57dq13UDVdrzvPzgekphg/Ls9L/HelH7egBwEy18egS0CS/ZWixEFxUfyfN92jPgD1vMSWfaBuSpUXROnO5Jh5R/4vXe67asruTQAECWZZjQgJslixcbh0g0mpYliSIArF3WFt81npl1Fkvc+f/+u9SX39u4oKb8SVcfYyry7pgU4q8d6d2yduVcNue6biRAR8wdhFAwZowxLjF4HBEREREREREREQnQZ5O5WABPTqVfOTL6wjEtY/uuD+e2cv/tkhV1yQQAiKIkdq4DmDGZ1/d9GLmzqk14lB/xN3mev1F6LLTAuNsZf+MKggF3PtlzJD3PddaWfhAAXNe9uVv57qtFbRZy9Z7bxM0Oruc47hc9xoR1WuFNjWWlrmllClFCxsde1XmAGYoGAfTyiN+9jAJCLMt2gO4DqKqKEApidX2E08BJTpaJJRP6GEFIA9qJTEDIpzBMBTpTmuGJm2bk03uV9+Pk0FDBPjd01Ad6+wThdvQc276xUnVmCUEI2dM/6shJUE7n16IsN8nWvTwRdBE+4xgt2O1sbQld/cTAkKfWAUKUzENkfW0DY5qmcRwXi8VC9UFZlsvKxyVgGKbyySI5Rw5d1wPz34UY6osJGABeGaJPN17y9uYda/nfeZTrU69IGwuyuQCe52f3HhhjU6krYV8gehZAyDhQd0vd/lQWhLNpoyQIgu/7rCDaBcYyCH3mti1/+6UXcws+fMuqHosb6od3dgo8z5fV+nmezzXFYhYulmUxDMPzfJDQsp19JVjuU4za1gIAUMpq4wDAUILG+01g2MYwS/rij0HboS9l5PwlHkV70kjBvk4K1c/DlnCl61Yu8rZhv7DHhFJGFgNj42u6OgAAIfTHFzX/2/OjFW4IAFwCdz1z6BNXn1P5KtWyqikxlq208LDUcLJ/YNnc3JmibIQR88Xtt99+++23n+29iIiIiHizgYGp+DmOIuHrzJE13MoFD0JJqSCImagyz7PRWO8SJroPzxo1e4ZOpdN3Pnns2MQMpenlfvflXxz+3NVta1eEf49hjIvFRRWjz3+LpukIoRS/tpE5PLsASWyvZseXHi/tPXwkPW/OGznmEnUlVtbhXt7FFQguCCFRFCesGd/3hybJZckxwgss8V9NEYsUPsJv6kBPDVPDB5a4HsNriN0PCWBPNaO842hOJmLGWBADK3Kc4Duu62KMWyRpEvgT9LQEk/T0Uf50mFuGMK2n/v37QxP5W//QecI+7/Q29tvKJW+4zFFZTevRAeQycX8+Lw8CjAxObmk5rSRSSo+eOEnjjSjegAAo8aHWsY18gnGFGoZJgsBSVVULBGhZlm3bnossizGuyoA4cOQQRREhlM1WrGlVgyJM34n/+Torbb3kkrodCEgXedqRblgIJ25JkhiGMQwjfNiSEkBFexUZhZ95hNDGxtj+kUkoHgedw2MFgHk+kyzL8jyvqw06G/LxIDQ0btsYe3l/FgD++0dX9NgyADgEHuyHVhEuaChq56Ioiu/7vu/nHrIYY1VVXdctGMYIJhMELQRjrOKRYPk+eBdGGACwpdlaNmh7CCEpURfaClFxBXosHT4mRIqs8sLB/redW2lgbzKZGOwfQonGCsu74mmL/5WdLWvqxo5MVnGb70uRvqHRrrbm8kVrIhmPs1MTXgUuHAE9VOkkZC4Bp1E2woiIiIiIiCUMogAVB9+gBTHAjAjli/+5SzMrFbskCsPjlU7h/adPXLj9nNby5SIWK9HowVmjNhfgXz639/P3Hi5Qn3N848mhYrIRQijtVfqZGuBSWVGUhIpD1eeMW5+sa6iqwqWFZVn3HqwuRH1FeRkHAOCFfqfm9EeVyIKfukCdHe7HMMyh8RmPgSQPQ4Pad58c+49H+n1dt8h0b4AB/tuy6Q/yBweo4UMb73XxpMVM1ZlTiq1zeZP9Wd9po0azyADGKbUFM0zgYhw07yAtXgP2tjKZ3AGkuBmnycobjt6bZ7S9qRnv8wpl2QOHj5Y9/CWE67o9Bgam0oFAn5deGdMCOWxfz4EjUybUtaDceAal85Imbl4UGUEQVFWNxWI8zxuGMUfT89r2x7KshQtGdmx7RR1uiyEA+O4r7CHzAox8Frur4FFJms+YYlVVg/hxTdNCD8d1Xd4pFV3OFo+oRQhtbKlDevlZHqZSF+r9MhcEQcgmWkiY+hzwwQ+fBwCf/mBXDz49OcAmMGABQqjYeaaUWpaVP8SraZqmaaGxrnn+G6c7H6ROb47Rp3L3lCAIXiJcey3ROsf0wh9bBHpTGzFJ+NvXXo2tauxnQ3vIrIiiiHJ+5bdd3c1V+Q74zedGFu6eQgidI4VX3pYZnL2QIrzzxPAcNzqXiWgREaG4rjs0NLR///5du3bt2rVr3759g4ODZyxRbURERERERETEoiUSoM8ONXzzWJb9P36469GDVokyHi01+9tJXlVVUCODnHX8I6vY387+iVKwE9dWUdcS5M5nq9M6P7hR7q0sQPCVYednPbaqquWLzsJ13c4Yw84SPDACDsOaOvYz21RTLwwMFEVREITHjp1uPAhgYEBLn7KT3tV7WsAiAPedPN1QVkvuxeeuEOoa67pWtHR1dXW0rm5t2NCoriSZDitVH4/5ShIwAwCN2nT8oCAI+e0wm826rns+TgNAnZclM0M1XcQAAPU9IzWSv1xoqodZ9FoL6EB6hqGU7h2ehCrD9ygrvHro6OEpU2hfgWauixiW44vmSatqx+YiQFuWJQgCQkjX9Ww2Oy/6Ts37U7PdTVlc1735vLjng8oBAvjK7yVKEQC4hBeYOQkNPM+rpwiMs0tYxkuSpKixUgdJaWN9yK2UAyG0sa0RaeU0aITm91QihBw5AahU+8dq4rq31B+VC4dOPYIAgGXDR26KXXTTNAsaUjabxRgHwrrv+w6ZVrSpfao/ZE93OLOfrcSxGr3spkYlmWgsttFJv3AnR22k6/o1zeEKNAXUc7wwEWsJMMZd2KmtnTMM88UbikZbr2sM6Wx9Ak/vOlDDtiqkrbmJ90N6jKF4mPMJwCSnzHFwi1K6cL1ExJsNSuk999xz6aWXXnTRRdvyuOiii7Zv33733Xef7R2MiIiIiIiIiDibRAL0WSAIEa1qFd0w/uru1w2v/GfS2HjRfHmJRP2IdLPhV6p7rmafKKb6HHcuiSfrKqxnKeI4Tl+V083vO1BF8rcpmz5wyKzBi8O27RtW4Nu2KhsaWABoVvDF7fxtW9VbzxNvPV+5frVkWYVDFKIochx3dMrHeZfzhi5iuqeb06v94ZJZt+pt7l6JEALLwGP9aGoMTkkzxPfc+nYAaNBG6rPDDdlhm+GBUlEU85s3xpjnec/zTNNchgwXcQ3IWY+15chsAIcDn0GImJqfnhgcGu+MT+/iTedIDoScHHOhYu/OApNTaVeqJYenGW8BWuRECDVG1uczxwhHz/MKcr7NnZpn2S+otGRZ1gcvqGMYWNuACYXdmQsBQMCGZ01VaywbeETIssxxnOM42ilKi2sYY7uuTUu25lsrFMDo6Urk+43tjVibKl3GY+dheCOHJEmuoJQpRCnXvTw0wvjRQfrskCfL8uyfGIYJtVHGGBe0B4yx67rZbFYURcuyer0rfMoBQKv+bFDSizXIshwkGeOF04dPCWn29fPaG9paWwGgubkllljruoWNjVDa58xoCRjoTW2+qsj7Muht9XZos35+rDpJVFWUZjdbif0O9f2CxhCLqZ+7Ijysu3cy/KHw4FHfnPWUmUc2q7gaKyE0Mj5RvlRJoiDoiHlhYmLiPe95zwc+8IGXXnqpv78/l/bAsqyBgYFdu3Z95CMfufbaa4eH5xq2HxERERERERGxRIkE6LNAtRPxdMP4/M/2u5WJQnyRoLCAuvompusPtaZPTiT+KNv4iYn4R3xatQaqubGOledXu9bS4kCRib0lhJwKL1CO/ow/7vGSJFUb3em6rq7rV6+UPrNNfddK3B13bEOzLEvXde2UXWkOSZIIIQBU9Mf5U5d6TQLuerHQpna5UPgRvjnubVi/MjAOR9kJTdO0iZQ13IdG+4BS4jrBTy4rAAAB4D0bAFiOC2bHO2q9pMZSYsM+tuko38jzvO24Lsu3IZtoaV6faPXS52ItDq6TSbP1zQ8edt+2QvqD8+TtcevkrJxpMrjGq4e//dWd6XQG3hD06rXbZZhjRdpncTeDyiGEzMWmfFGxoAI0pRQ881OXNo4ZFCMY0jkAQEDXCDtlvoruQBAEQRCCSOeCp4NlWUEexVBYliWl/VsoXdNc6Uhhd3tTUk+VKGCp9aGCbw3wPE8EuWxSAqRnVivhErzmoTGXPZjFswcnLMsKHQBwXVcUxUDrZxhGURSGYWRZZhgmOM+WZR22r8z6Tc3CQP3YUwBAGc5r7BLrm2RZdupP51dIutmWlhm6Lc/zza0bM9kZezs6XniPU0C+72uatlHUBUwvbgg5OofivuEq0gMCQGNDQ9KaKqvb4kzI+HRHa8v7NoQMLTg+XLpcYMJeEu/9/QJaITU21K8mVQz/9utzlY9riAmIiCjA9/0rrrjiV7/6VfDnxz72sUcffXT//v09PT2PP/74n/3ZnwXLH3/88csvv3yOYfsREREREREREUuUSIA+01T7qUMI+dL9PZWLm8lkmWxmAMBxnKIoPM8ratyn1SWitHwZd36oqlWWIr8/EZ7ean7VrAcOmnfuNneNs0zxAMZiaFpW07TZnr9KHrFYzPd9nufr0LErW3befsHT/7R172WN3o6ekM97ZmZQ20VJe/Xa07OzaVNn4AkgqTGEEFDKJ6cdwDNS3aTaPBlrHY+1jsdaJ2wfAFJYOkGkPSQ+DjwAOMDsQfUjXNwGZogKtlKvKw1DbPxVkhAwDPrc6ydH/Fd6fV33bJ+yXDOf/3lGY8NDP/rXl3711AgAPPjkoWrP1SLE832v+ouew5mZSy0H9efBAxrmlidzUbHQuhIhxHGcj2+vb1+W2GfHAQAjghFpJ89U7rHDsmwuVm42nufN1lgVRVESSVou+xwzPlTMpyKUjra2VbyP00Wn0eCK/cpLw8gxSy1lDAIAAHRFnfKOLavWyEWHbHsyaLYm7nle6KheMBohy7KmaSzLBjkzDcMQBAFjrOu6KIqGYQz52yiFDulYS+ohIAQQ8tV6t7HrdD2m3tXeNrt+hNDyFeems9P3DiHw25HCGQn0lJ+M7/u2bSe5cAn+2f5Spt6htDU3d2InN0MlBEpXtjaF/rJ90+rQ5S/1237YDbR7hMyL3Xwx1i7vrLfLxOPnoI47NFSdXj+bKAg6Yo585zvfef311zmO+9d//dd0Ov3973//2muv7e7u3rBhw9VXX/2tb31L1/Vvf/vbgiAcPnz4q1/9amT8EhEREREREfEmJBKgzzTVhj//7Lf7pqwq3lOrDadF1WiqLuG81g+/YcSpEqSqOedzwaewZ9S9a49WmyV0AUEon34K13WD7+pJshwAEMCO4ZW/3DNDocj5cjy4Rx85MhL8N358tGP1moLKSVMnbeygDW2kqZMixMaS3OR0HC7F003CHxs4wdb1EWmQFuYHq3OzQQT5OOVPUmmQihMgAMAI5VOUk/T073ek4nF5d69W3xprOSVAd4L2mztf/O5Pjvpk+oo889JctYbFgK5XYdhSBdb8VFuz5UWO+f26rtkDeqEF6CCKFnwPAHQfH7G2AAClIGJrOXksuKlZllVVled5+RT5NUiSVMLiGQBs256tsRJB0n1wvTJhdCs7qk4SLYlid1drmx8+AqfFm+be/6uxmBkrn8BWzo7LkgQAN24p6lMMAANGYdvAGGtaeI/KcVxwtm3bzmmOhmEEM1E0TYvFYpZl9XpvB4AmYXB15qdkpqRLib+uKV6sQSKEVq5cb9ox3ycPHMRm2ASjfBN8RDwJh9wpUz6bzlQ91SOmqt2N8UYnA7PiKykhLb4hFHGGYRjmfRtDYtsdH2JF5lQ8u+d4tbtXFReu6lKdwmk6s3F7jvzlnz9zyx8/8s733/3q7oNz2WIkCEbMhcceewxj/KMf/eizn/1sPB5iriXL8p/+6Z/+8pe/ZBjmiSeeiNpbRERERERExJuQ+YlmiqiQasOfM5nss8fDQx1DuWG9UK1SQyoehJhwWuXl7+ZK5ox6w2DPR3TX31zR9s9PD1VS0iXwrZe1T29TbduuOVU6xliW5Wx2OrqZYRjXdTmOM3RNwhlQ4YWxi+56uVCYOKXrgkdgJFuucZ7SJYNmpjQ0TeWtwWQnTvL1ADCBQ5yIE54+ycVmL/cAA8DLT/edt6n+vh2jf3R11+tTtJkHADiXjn/xX3oKyuvGAkbenTFS6QxIIRpco5miFI3LZeQ5HDpuRKnvzSn93en65yxAzyWN4TyycAI0wzCSJGnatFD7gdXqz496P+7v2JZsuKnhSQCwidQMuyz2HI7jgmI5xZNlWZZlA2fh2cbEs3FdF2NMCEEIcRzneZ7P8FBXNoIYBKFG1+b6urrhVJbys25kPOOoa0BVVS1RXhbHU6MruqbzzmGM37uC/WVv+I2veyQxs7UqimIYRqBBF+xqrnssrETXg8LZbFZRlIxhHZZvWMs9IjHGJvs/D45f4LZuCXJ+drCeKJaxbu/o6PK8tim/N/TXF8fRBSobRBCbpnl1C/ProRCd+tmjqXeeX4tHfFNDQyOlhmGcHBwCUUG+K7O4q6MDoVKNYeva9vv3H5m9PFskMvg3h623nz+nbKWlQQi9dWXri8cGpoSiJ+Hxbz3z0q5pA+iptPsXf71jzeq937vjPbWNkdi2LYrz4KEf8eZkz549LS0t119/felil1122Zo1a3p6epaEAE0p9X2/xASdxUDuTFqWNfdXl7NIcCA1fwIsHnKH4DjOUneb8X2fELLIb4HKWfy3c1mCt/r8m51x3crT05OqOt5qClNKLcsiuKKXonw5yLKsRfLFVBbL9auaCV7VY66qwo7tVN6SvSo/jR2nxszeZ4Yg19dSN46LBOgzSrXTPG//dbjbgMiCFfYx/rbNy6vdpX7ngtXi70qXoRSOOW/tXLm52sqXLgkBzLnFkn74XKWxof5dq1O/OlpRx0cB7nhZk1n08S2qYRg19CyBGwDDMMELX6ATCYKwkn9JZdOvTW294/kqXgQ9PcsqIXrxDPIfmYQcJ4VRz/kM8EVFVUz9o0czl1zbcd9L6Zsy+nJR6hk2dj7w+s/6Qp4u1b09LFZc14Ows6VxatzJCJ7tYpZgRnE0D7M2WyiLOFyIUEJsI3geY4wZhvE8bzE/QatiLhHQuTtifhFFMV/cZE+9dL48Ja6Qtm5SXumjl/AMLwquTwAhlH8tPM8L9MdAVi67Ldu2VVWllPqiYslJRHwHl5fYpKkRiHdWfWCnSDja1GwBGgDmNgaJECpj/Uy8NmrVL+vIX7ais317+sjvJ0PCcSXmtDVSINBTOt37aZomSVKFL6m5NqbruqIo2ax2WL1hDfcbhOiG2C7Qdx3VztGV9Q2rllVSG8uyGCgJyxow6aLg9gz+dBwHwvqCEzb/+GtHrtq0qgZJBSGkKEr32sJZLCWQJYnD4ZkMBAz2rOUehV/vOPSu7eur3bfKQQhdsrqzf3Bwr68UtBnJNf7+U4/OvnWOHNWuuOE/f/Dtq9asrqXlU7qAknrEG5uBgYGOjo6yJniKosiyfOTIkSXxdCaELH7FKncm7SLWZEsL13UX1ODoDJB/RZZ6jxq8oS3yW6ByFv/tXCH5N7vgepUL0NVJolWqrZZl+RW393wBuoqtnFXsarNdVXMCKalGgHaqEqCr+wZc5J3wG+NJFwnQZ5SqOj7DNCfM8PKh6nN3M5NMVB0w1b7iXDL0AkZFd2zKbfAbbuhUy2mRbyxWJNnhOUTa3rCKP3/9CgC4bMs6Dw4/fLTSgQfDo3e8rDVK+LrVikDMUHFKURTTDP/Jtu1YLJaL8uM4jqMZnrEOa+f882/RX1/fIrDopy9NHhkt33lZ4yNqOQGa+h7AtCSUnRwHtpSLiIvDehtKO7ypSbnh3X9zdcxK/2mzfPd+stoe2NLd1FgvHZ0pQK/qlK5+W8vTvxsru/OLH1xkkNxiRYsVE9YUw3AGVgxOoWGv76wb1qIyE5IkAYDjOK7rCoJAKa3N23Tuim0lgb0Vkt+ka4DjuDMQg2OZZpJjFIY4BD040tK9gl3HPnHU3k49m5Fbip2KCseZJFn9ye9S775xUyDD0QrUZ5ydXLWsdvUZANrbWqcy7myxWI83sqZRw8sZz/Msy1pC0ZyKAR3ITSbDEicWOWoKKD/SWRCExwcBELqmbbrZyLJc2uQkQNd1QRCCFzvDMGKxmKZph5XrW9jXE7gfAFar+yz/OMCtZasKkDDVScjNu0FxOY6v5A3yoCkeemngo5sblHnK/ViaC9rYHQMhl/Xd3fI9+0JO4NMnnKs2G4qysPvW2d7e6nk7+lIaN70hfLLvi//r5RKrfOxTT37vjivXr+sqUSaUKAg6omaCB67v+6Vt9wkhhJDQLKmLEIZhOI6rJLXMWWRqaip4ksbj8aUeAT05OSlJ0lLvhSzLCp65qqpyXOXa4GJE13Xf90NNdZYWExMTAMDz/Lz4PZ5FCCFTU1MzbvaMCBUrclV1EQhhgEolV4RxIhHjK4uABoBMJhO8SCcSiaUyTmO5oWEVRanquKq6NIqqVP5gqnYyaJAmrapVziTBiMVSaTPFiAToM0e186r2Hh2oqvzH3762qvIBGOOU8v5m457ZPxl+LC1fXd9etYvoG4C3d7fuGOyvYUUEcOuFdWuWtZ+uastamTv2iwNVjDmnTPKTvfq2Nv7CViZ/ChvLsoQVXhlxt7Upvu/nqyq5V4qc1EUp5TiWOpnvHdj2/FHrI9vkn76YumR1HAFcsV597pDmUwCA9c3swdEZogOD4cq1wsiknVAGfU70CWGS4bnOPNMAiQcA8P1JppSuFPf0DFtYIO4ZDM9NCtOVZ8WE5afjg8M9U/41bxXamqZfwdcsky+6oOFoFlrjzIGDmYs2l3ceWPy0NtRPFX9hSovTj1XV1UXPHJMLU4ch33KHjwAFioIRegoUWEbMbxK2bUuSVJt6G8StzEVBrir3XQl4np9jdMACfZEWVOt53jUdXMog4y4em4R7Rq6877kUQPadm5Xt6+ckxHMc97VHBid1/11jg6i5o/wKAFhPb2gPTzdXOQghZBtULLxtKWYLor8rrI0mGo2yiTe1dLI9vLfJ2D5AiAZ9VEPLVYjFYpRSAui+k9PLTY8CgG3bFX0bi9cAACAASURBVL56BhKGoii6rlNKs9msJEm2bfc5621BbuYOAYDIGKmx0cam5koq3F7vPZEKeYVdE2dy740IIZYr9ZpLAd21Z/wPziWxhf9ovGZz+46Bk7OX37PPYBF4Ya34t3v7brp4AYOgA1iWvXRlq2Gax8amnnn00M/u7S27yic/89Q9P3pHW1vVd0EUBB1RGxs3bjxw4MCRI0c2bNhQotjAwMDIyMjatWuXSjMLfKLO9l4UJf8tZZHvalmCZ9BSP4p83jDH8sY4ioClfizBLZ/ftELDdIqxoN1u5Q1+iXZcCFUbAV2VXF3VnlRx0mp42i7mKxIczlJ5hSjG4j2/bzyqjcL7zf4qchBdtVaKxWr8QE0kGzINHx+0Vgb9oUu4k2b3MP8u3PmR+oY3o/oMAPXJxJXLiipoCOCqrpB75/J29OV3rctXnwMu3LiyvvqAhpeHnB++bj1yAlRVlWWZk9RfHyff363/vt/5t53Zp044ucgCRVG0PIKFtm0zDEul5Zetkf/njc3rOpIfv7RpZZK87zzpwk78hXc0f/GmNgDIWKRRwQwCAFB4dN0Ggbr+Q3v0G6+4cO2aNRuWd8bYon2ca51S1SdHSk+rV/1CDbHDmfDkWM5cQnBNAGA147ldk4eOZzK6HZPRJ25ZdsGVnW5bUhCYY7tGHvnViRM94z+4c79pLpn5SsWQpYoaRJZXx6QQPW6lt2ND9ucbtJ93Z+/p1u7p1u7doN87O5zWNE3TNHOOqAWPqxLPV47j5qI+MwwzX1OEOI6r2RJRURRFURboIT37/PAsoxN2UwN7Q7N1UOc+dmkcAFY0sHM36pJ4DABff6jSIcl2hZ+Xo0744cNmRrxpdl7EEqixmKIoLl9uFUpXJouWmSzSoCYd2DNJNcdHCO1Mnb4ovxkESZKCeMMK99O27fyUj57nIYQcxxn3VlhkOgAKTT5dYW0b1qwKXf7SBMrNHEQIPTNW5jXMB3Tv/vEzYPemFr+moeozADzTe+ac8mRJOndZ25NPVZRWAQA++LGHazhptU0ZiYjYunVrOp3+7Gc/q2la6E1BKTUM43Of+9zw8PDmzZsX8/dtRERERERERMQCEUVAnyFqmAPuVrxGexzffPnGauvPRxAEYdX1NqVB+E/LEh9XmRduuHB9jO35r2OFX7Bv68DXb1vHsszVW/3jAyOjE2mWZVa1N9Un48VyH2GE/uq69f/+5MG+KnN3mR41Nf+Ol0NWOzDudTdKCeSyLBv6zRxMJw9+mi3hmaYZi8W+cGPr7Q8PEwqNCt7Uxj6+3/j1a9Mlj/aeWL1iOaVUV+qLtoZTbrADbMj0NExplzVqIXZEbJiaGf7c6YxPqDOiCG1OAoDfPDf2h+/seHaENialJwfJOW1snWW9ujP1gxehuZ6nE/r+KRcA/vyzD37vOzcX26klAcuyvDnpSEVNTjjf8THL+7bFhvjDJqBQhRmS3qbr+uySnuflLAgURQEAQkjw6YsQmi9vCkmSgpR6cMrXOHRnqiUIR61tXZZlLctaOPON2TVrmrauLtYz6bs2BqA9joRRZlef967m2p+zsizvPG4MTroAYDgUJkagvqXMOo6daJyf6aLtra1T2RBPBsJwmGEqj5H3Gc6Mhcc159OJLFkO33PX9X5y7+HPfnD5a1bIOOvhLDqcDfre030VAcQwTOAKXflwiOd5gY8NALiuK4oix3Gmafai7TI5vkw+VMcOmoYhVaC/Y4wV7Ouk8KEwYiOxfjqEnGEYrQLLQIMwT+ztvXZzuKI9X6QmJov9xDHhLyQ+Bdt2RLHGXJc1sGVz3eO/Ha6kJCHwHz/83Z98/LKq6l8SzrwRi5Bbb73129/+9qOPPrp9+/ZPf/rTt9xyS3396dla6XT6gQce+MY3vvHqq68CwKc//emlHr4UEREREREREVEDkQB9hqghiM+rzI6dwfDFm7fMy7tsTkKKCLj0/O63bqE9h45MWkRmUUwR16w4nYGKZZm1y9vXLi+Mdw6FZdm/uO6cvoGhn702MTpPGSB+edD8zDbVcZzZAnS+KWoxstmsqqp/d2Prz15KvX2NcMdv0/m//vV/Hv7hZxsIIQgV7SU8QQZK+NTAqulUwYgAuD7hEB1Tm33M7u91WlbVN/uaJiXixG3IjmZYGSgtUJ9zdGxsfGzAxQgOnpjI7Bt9/OVpzWPLhviLT/V7p8Lw9vek+/tHOjvLKXGLmzaJORG2HNt6s69biOOpOyGEWFwlUz14ZmIHH/FZphMgXKs1DCNoD57nWZbFsuzcsyuoqhroj8H/qzVkqJC5RH3yPF+J82/NhGqatm1vSPITJr8nSzUPX75OmtDdw8NWaxnf40IYhpEk6dWTxj0Pz4h6vv0XvZ//WBK44nofpcvFeevDEUI4NUAaQ3w/9Hiz4LoVuqNQpvybhpweTXQVNRh5ree4T+Brd5+4akuCXdXh5wnNxXL9AcCeKTgnVrVbSH6rsyxLFEXXdQ3DYGKrAQ4hBBMnn+/YcG0l9dy4OnbP4ZBG+HoareYwIcR13Xe0EQbBrwdR6fmHhwx+2fG+DSur9jWunIPDRU/Ux7bG79wZPiVLt6z5FaAppa7rplKTPM8lk3Hm1FBHNqtNTmabGqvY1l0/O/ZHH7moWvs/z/Pmy0Eo4s3Dli1bfvrTn37yk5/cu3fvpz71qU996lMtLS3r1q3DGB8+fHhwcDAoJknS17/+9UsuueTs7m1ERERERERExFkhesk+E9QWU7Oqgd/VXyZuS+bQ7R/aFE3lWzgQQhvX12KuHUpXR9tfdbRZtv3lR47Y8xGa+fQJ++0rxNkCdIkmJ0kSxhghRAhxHOeuF6YQkEB9vmytvPukuaFdODjkZCzSm7GT1Aa5UAOllBLH8qYmZVllRB46V+b/OjwyOi6oAIAI2TXkX7NWYF0DADzMjSTKONhOmeSdq9jv/aLP2bTuG//zgk984SUAOL87/rvH+goO6I5v77z9/72pdG2LnGJXiHBSmmFMtqhHxyrvhfw/fcQdi31AL2n0rGlazgx6juozy562AFZVdS7pAUtTYe64UM6ApZogCIGRgqqqtm37vo8x9jzPdV0RoY+ske877mVjieO9IweGx/72HY0VnnZBEEwP/+C5scGp1OxffQr/3z2vt8WZlc18vYzr6mNyXQKxPHA8IATEbyWGmphPk/T1K5b1aCFdFcUMURKM61YSY8465uxuZGZ1dEVnqZG8gdFpbfTJ3WnYnb71A6uPudM3CIeoTcOl2yNZdF4dW8loXD6B8walNIjl5zgu0Nk1TZ9KLE/iE+3C/qGBtW0dK8tW1VRfxyPNoYVNsdfAq5ukGId937dNQ5TkC2VtvyXPDpfO54kR1Nmsq0qVoxkVky6ed7eY+gwAhuk0zF+KsnQ6+8e3PTg+cfqJ1tosfubWc770ld12yUcmg8EPG6764j898X+//I6qRtYjATqiNm655ZbVq1d/+MMfPnLkCACMjIyMjIzkF1i+fPndd9998cUXn6UdjIiIiIiIiIg4y0Qv2WeC2jxMr9/UsKt/sESBZUn8N+89r5jtQ8SiRRSEL1y36vvPHTsxZ+2uWSSUYQvmwgf5uELLY4wxxjlbA57nP3Sh8sheDQBkHl1z1ebY83suunDtFSODdzyewoI4aXis52KWAwBPzxJTp5hhEw3AiWxTW+gmHOaUM/VYf5wHAGBIRdIbomT30/27AQDguZ0jSZUBgHUrlN8/0T/7aJ59biRnJbFE8QkJN+HH2MSlHKIZmCHEMNRdm/nxAeXDpeXauU8tF0WRYRjHcXJynuM48xJPPe8ghObLhLoYDMMEN5phGCzLsiwbxINzHMdxnKZp71up3n3Eu/SCxkdeGKswax/HcT9/Kb1voNQUiXHNH9f8vYOBQpcBGACAZfXsLZc0nL9xDULVm82XxPd9oDTU4d2RE6pjatnyuQpIOZGayYyjRHh/EvC7fTPmZ9z586M3X9aQbWr2ARdTnwMMy8ZAJUnK2S7PJhiTwxjnkts4jhOLxTzPYxgmp7BTSsf87iQ+AQCtzn/1n7ixc3mpsUlRFAkhl7bgp8IcI54cYzfH/U6R+r5v+jBElStbaM+Uc8QslZPwh69PfHILI4rzfJUD4hILRXLJL0uwJ9Pht/mEZs5XVHY2q9/0/vsLFg6PWl/88q6y64aqzwCwY2fq77/0m3/84nVVPSyW+sMl4qyAMb7wwgv37Nnz1FNPPfnkk6lUampqilKaTCYbGxuvuOKKq6++WlmwAaSIiIiIiIiIiMVPJECfCWqbSN7V0d7dNNozFvLVhwA+eEHysvNWRd9ISxRZkj5z7Tmpicnv/n5wotaMepe0og3nrqUIKQxLTD1It8VxXDabxRirqkopNU0zaH48z/M873levqnuiAbfeWoi8HppUhlPSz+81zg52bN3wHn/hXEAYGSVAjjZNJZjSFIZqXyiS++UAP3zfe6aBgwAnF9RWidmsP8Lf7b2V7u1k+PuBRc1PrhXq+tu7Hmm1/fDlVPP83l+Cbd/ReCgpux6GEL6BCbPkzfUnHeOAnRgRODOjHh1HEdRlNICdLBjNYjUcxlaE0WxQneImgmMR4JTnT8Fwfd927aDqNv3LFceOAF//+52p0gbzhFYmhweNkurz8U4OeH9yyMjP964poZ1S3NI86C4gYYlyFCBAG3bNvJcynJFfjbXd5bJdmvYhc/QXzw33hhPv+cdKyZ9Nu0XbSo7Jpgr21nDMIoF1AdO6PnyNMMwgWlDLsL99G4YlhZrUvEYAHSQh04cu275qu4Su40xPmfVsudGet1ZQdAY6FEddYoAACLyt9Yxnud3J5nupD9q+i0y++AgDntvQHe9NvqJbR0LMfC8ulmGA+E2PqpQVOXXrRpzhM7mL//usfmqKp+nnx/9yy889NX/fRPGlcZBu65brXFHRESAJEk33njjjTfeeLZ3JCIiIiIiYmkQOcC+qYgE6AVnLuGBf/Gu8x56Yd+DPaeVFAbBjd3S1dvW8nypOKmIM4nneceP92uao6jc6lXLKpcGGuvrPv+O5LO7Dz14rOpGsrkBtp6/PphZTBONKNHIAEWpYeLawczxQB3jOM5xHFVVLcsqiMHkOO7uZ1I5p/GPvrMbc/w/fvICSvybMYPyxjYYpdKcZpQQijAAJDKjFGBjK+8AZPjyq5985dBDr6QBACPYtlJSeDg+an36isTfPlo0dtIvFvO2RJBEEdxaROEh1I2DIOhpuRkAgNd6ZHl94BsQqKKBXpwb/ZqLvTvP80FOv9k/+b5fLFWgqqrBDlBKVVU1TbPylICyLEMRJb0SglughhUrJziWYrunaZqqqrquf2SNMmqQ7z8+9P9cVRd6+MHI0D/c3+94cxohIBR27z14/qYNc6mkgGMn+yBZShr2pLiqapUEd8v6uJ4IqQplJro7mss2TlkIGWpKZbyR3smxKTsuM8/vywLA289P2u0zIqknPYZSCBphsCQIV881ZlmWC1qv7/u+7+cK6LoeJHQFAEJIhnQEAjQAdKFHhw4ea11XyuFB4PmPbW27c9dIwXIC6Ipmelxj18Rir03BpsT0UI1lWQ2iCAAxjqbdsMBzih9+ve+dW1YU22LNNCTiAGOhP21q4fePhgvNHQ1FM6lWhed5+w+UH8yojZ2vTNz989//wYfeUmF5eioh8wLtT0RERERERMRihgL4pNKPEDT9TRaRh0egXPxNDkQo41X84ba0BYCISIBeeOYiQCOEbnrrue/YTiilrutxHBsZbiwqxscnPv4nD4+lZkxbvuaq9v/199dX+O2KEHrb+esv30KP9w18e2e6/AoAALAiBpdetKFwExS++0LK9qFRYT6yJUYICZxwgzD52e1QEIS0Ma2IXbNRAkoRx8PcBiGpOx0K+tj+LADIskCIp3Ny2Tq3rlQCAZpQSFuIAL5+k/KFL7zyN3+55d77jh07HiJM8PzS7r4EQWDHJzxermotRU+ZK6+bvZxJ9QcSHSFE13VJkgLVOCeuBZJotQnZFEUJmlmxFS3LUlU136kgoMB0QtO0QKcWBIHned/3c+GowSamh1Iozd/PGnY4YKGVI4RQWWOl4EAMw1B5+bzOwvFCVVVH0u4LR7TdJ6ZmS89tCea6q1Y7DPezX+yrLBktAMC/PJr68aZKC1eCGWssW6aSvfN9H4qMPTC+U8nFEvnwMtdf1PJvvzyx48B0z/nQjonP3KwcIPkjXuj+Pnhfl6JpGsMwhBAv1pDhlEY8HLTAsrOIKKU8zwcCNKVUJ6dldATQyh/2jn3LafljRS2qw8Zjsfevztx7tDC2/dFhdEMrcRx3fYzHCA5l0VqVCoLgOLbp+Wm36HSTExY7NDLa1hKeyrVy9vUc/uYjQ5OGL/PoE29vuvi8tXEeMrPmqyAAiSt6jerj82MpcOToQPlCc+A7Pzh8w7XdDQ11FZaPBOiIiIiIiIg3MxXLp1D5u/qbB8+nbsWasgdQeeFI7F/qLG0FZ/Ezd99VOPWFHEnPiwpK6c/v3fHNO/bP/unxJwcPH/n5j394C8NUahCBEFq1rPOfO9v/47cHDk2VaTNNItx4Wci870N7D5oeAMCo5v/r81MA8KFzxbY6CWMcquL5eU/L7ed1Mso8BLJR3wPAvGeNGYAAppQGxdV1TmHpdGR0MXxe+KtPXvDT+1/rn/BakuzLRzOvnTAohW/fuU/XQ4ZwWBa9Ae6ITs7vraY88pz2mNB47KvBX8HC4Cr2xj+Qnw8w1G3AMAyO46qypEcIlZWAg/x7BQL07Cxeuq4rimIYhm3bCKHAIgYAci4xuRVzW3RdtwYNOl92XyByimRpDMMQBMHz7Hec3xRo6wCAMZZl+UsPDBhO+JtWR5K54pr1NmIA4BNvb/juU+MV7lXlL8qVYNt2CfONHHpdO+/0zs6DWkCxRyHBFb2E7Doc7m+OMbLcGQ3vjl/0vefmdRo5bfeBgQIAxlgQBMMwZM90fJrTnW3bLhsvn7/zpmXrbJOCT0cKs9jTy91Ty7s6Yr0HszOtQjyKHh7G1zYi5Nn7ppgxFx/Isu9sIzzPCwJK6DTtFRVAnzppfLi5RoXUcd3Dxwf/4edHvVNnzvHo1x4agYdGrt+sZkAqKE8BfvhK0XtwvvphXV9YzxwA+JM/f/T+uz9YYWHHcRbIazsiIiIiIiIiIiLizUkkQC8slU85j1hCEEL/9osPPvf8aLECvSf0737vuT+97W1VVYsx/pOrNhJCDvf2P3gwO5wnufAY2hQ4kYU2Gd77tpBZ9sb42MOHZ4gg21rRNx8f+4f3dLp2iHbDsmzGnG6cF68UfSPLJmdEO1JCqGMBABKkSmUO10EIECWimf0fl9fduWMSAxU8W+cUhvheSTl+UmmUGHzLLdv49GgD9v7qJyeD5ZlMuLLTvSFR0S4tbpqbmgb7U45Y3lkbAJDvnlcv6lmLLWIdrSiKZVn51qWBykYICdxsGYbJD4RnGIZSWlp6q2QCh2magiAEgnKg/AqCEJrzLacL59TY0lt0HMfzvGo1aM/zJEnyfb+sKlobsixXOLJICHFdl+O44N9Zjxc4fP9LE8fGxgsqQAjeslrcvK7e54Usr+Yuid7QmpQmp8zpBZ9/Z3tcxACwq9e4b+fE7C1ms9lYbH4sESYmp0Cur6Qkz/NlT3WxQGPCzslLamzKees5db3DQwVby//j8oQOoMiy7HleMC7iSTGS1ZRYnFLqWKYsy6UbWP5znGVZjbTkC9BQWRj4WxrRo4U+HCAj30EccbIsH7+ige5N04eG0I1tFAAubyIuRZj6D4+EeGdP+uxkOlOfrK4bdBz3/9z98qu9RX3Gf7NHe88FeI9ehf0xz83Pa6TtLHgu07GUPTY23tTUUGH5KAg6IiIiIiIiIiIiYh6JBOiFZS7+GxGLlq9/86kS6nPAXT858rGPbheEquUVjPH6VcvWrwLHcdJZnRBflsSYqgLAL363/4Lz1sz+JKaU/vh3w/lLEMALPRoA/NMD/V++uUvXC+UVlmV//GxqVRN3bMx96zkNjKL85rHdO3utoLa/+8NNrqF//ZF+APjvNy4T6pvK7jYzPuhYpiAIPJU8UXFc7d3r+TaansBwDp06DOU1Vt41HV5OSvwQ37Sqafj8ZcKg2vXAf/WFFr7l5vVlK1wSbG6vf2UkS7gyig9vpDd3NmGMNRqiF1NAKQca/3/2zjtOjuLM+091TrNpNgdpV6ssISGBJJLIYJKFsXHChhccsHE6bOPDxjgHOIPvuDvfnRMm2YBtbAwYk01GCAnlHFa7Wm1Oszvd07nq/aN3Zyf0pE0g0d+PPrDTU91d3V1d0/2rp34PR0Fy7HNcuvVU6bgSyvO8bdtefF9i3HQKXuLBfI7CNE3TNEOhkCzLnqI9JWNvhBCWZSfg5qzruiimBnJOAJqmJUkyDCPxPCCEfAPMfYnnuFOU0M59Pf9sS/pFqC6iL1lTjkPFJsMDQCRtdYKoK8+oeOjl3pWz+VcPGL94tuvyk8JDmvOPbellAQC0mDFVAjTG+V7BWKicNc3sTYVkCKamnEkNEhzuji1vEv4AcGKzvPXQ2PBGchmX5rw+07OLIdgFgP7QqFV0ETOCXCOL2zjLsolBvo7jsFyqI1A+ye0Wzm16pqc10eLoomrMADzZTV1Wo4wMYgAkM0Bg1I5mTwTPlV3dNC+tCT3Z5SPfv9wycMXKAgRo13W/9Is3ekdyXNa/vT3ygZOK8tSgRWZ0rkNXT9+TG9qjMUcW6EvXNNTVVAIAxjjPPMkY45u/uymfknnC85SZlrgSAP7l5n/+4e4r85SVXddNn8kREBAQEBAQEBAQEDAxgmfrgIDC2LL10CN/bc2n5I6dR04+ae6Ed8RxXEU4Sb/+wJr57brPS7U9MqQnj3ScVkf9rQsDAAF4entkbXPqnc4wTPfwqGB034vdqumaY1s4rVnAlh6LjCpcfQPR+lwCND3Sb8Q0lmWBZiqJSxPMMfRweb1jjrgMPwIMAoIwrop2DsiVDLZ1TgYA1rFsmoUxLYDTIhYnmTQHgELY+cM/BgHgmusX3P/rfel7PP20edmrdKxAUdRJ1UU72joMJYPfLsZ1RKubVeV9SpfJ+mHWC/T5hsPKZEgURU/x9BTSuM7i+UWYpsmyrCiKnh9uNBplGCaT9OYlrixIR/bsp1mWTYzCniSGYUiSJAiCbwrELEzeGUCSJIxxLBZLPD+iKBbk7yEIQjQaZVm2o0/fvHfkk+dU/f7NKAAsqubOWF2jCkUZg1EBlkGEILS3JKzw/a8eMABANckf3ujPsrspMX3ywFk9c5JKMpwoSradzcLeZv3dDOKu8RNjSWNIFmgAiKvPAKBQrobHr75ATMehGIahKMpxHG8YJs4IF6Iiw4qipI/E0DQtiqJlWYnx0a7ruijdtz23oMmyLJWcN2XIJBU8EIAnuuizlWHNlk2XIoBiDhiWvbiUbR9xa2WJuA6Az0Bmh8UZpinkfa+9vrUlp/rs8be3Ry4/uWiHmnvLi8op27a//bu39neNO9L8Y+swQ4HIUVEDUwgawtyHT6s6Y2W2HvvhP2/Ip2L546s+A0D70div7n7t859Zm89G4iHzAQEBAQEBAQEBAQGTJ983zIAJEIQ/H38QQr7y1ZfzLLxnb3fuQoXAMEwNi9M1pn9u7UxZ8szW8Ri9V/dHFSU1ANlxCQCUydT7V5UMaOPqMwDs7sc/f+LIr9ePai69Q1kkMkCuw/Qf1Qb7RVEc4or2QegokhygKIpqxsPlLNgUawNyaI5QVHdxvc1wnvoMADbDJeo2fUolAAzT0rbntmzYPVr/x94YXHpufWNjUp6rqz7aLAhTJnG+4yCEljXWLw+h0Ei3GO3jYsNitF+OdNbawyfIZFWFWFc1PgAQKk6aP74VXfQkc5GBWACIWa4nhHkOy57QnLIv27a9hZ6yjDGWJP8siLZt59+DsSzLcaNxprZtT+G8dU9PzzOOMhHXdSepQcfDnBPvuEK3aZomx3GCINRWCBf/vzXurMbr1826+kMLT1w7XxWKMq01i2jLYFhVVds0bURdcUa+6ebK886xlpOMl9AygWCwkyywtaLK9E5mfFMIoQzKOJVP8DAA75cEj6Zgd+vwA8+lJq8rwkljFS9GZK/9eBq0QSd3HQhZSrgvoqWPmoiiqOt6irsITdMMpNp/c3xeZsFnFCf3pQRvH0YAICL8klq8aQg1i/a6WsxRZEOEW9+HG4o4mqYNw1gY8pdTX9t7NJ/9YowJIb98poAsf49tGjklnO32P6senVXtRvpjN/zXG4nqs4eDIWpgAMAE2vqtOx9v/+iPX9yz71Bf/4Bvr3L/Q4ey7OvWbyxOX3jHD5d7f4RCDMMU0OH84U8tO3a05F8+ICAgICAgICAgIGBKCII7ppFAgD7+2Lhpt5t3qq+WlozmBhNGEIRGQlo1B40JYcR19w4kVelji+n/fiFpyXf+0v7jK2fZtu2FkVIU9ZPHO64+JfRCN0OhpJLFArKSg+SMtIn1lBkjDEcPdbuuSwhRDUNRFNd1B2m+hsSKsKnrenQscnau4u5j0kUxAoCAkBJilZmRFrEKAAAh3XGfe+itnS3aL29eftN/7VR1FwDae01QpC9/seF//m8vxiBJzBe/UJi59jEBz/OL5jTmLMZxnAUCB4YN3BPUx6PUuPKFOB4hMDHwFKWqaj7BsJnmyDMMk7P7UhTFcRzDMDiOo2k6UaqbgGmGL7IsA4CmaRPw09B1fQIJDFOgado0zUTv7EK1dU9A9ObyL2RH9kJRVEi1TRCIvYCKuQAUIQBgWZZlWer47tBwqPyMeUOvHcgdA54S3jsZkJ/ZCwCAoVF0iCJuUvtASFfKGMPwbTaEENbSTWn8wImlv7Wns02jAeB7s3IbNVyyquzRN1KTMboYfvd018L6VPGX6BYkiMkOoTb0Whph15YBRVF2WtpDy3Ye2Kp/9SwpUdAHigAAIABJREFUJX0lxphhmMRJAAghSaBL6cOJq9uYybN9VpSVwPDoPVJMOVUSvSFC0UDm8MZuQxx2aJom0WhUlmUakVMrKEyIZZqKoswH2Bsl6YMCe3X+vMw+xZ3dfd/9w+4BdbT+YYWOFRJu/uDrQ587P/zcUQoAEMC8UnRiOXlme3RLmwEALXsL2BQAmA751kNtAG3e1v7nc0tra8aHVWw7W2f14zt8kv1+47vbACCkMJ+7trlvwH3kb4e12PiVqqsV+/tNM0Oezy98/dWXnpqdz2BS3MM9ICAgICAgICAgIGCSBAJ0QEABfOObb+VfWNenJQUlQqhJYVvbj+KiMsTyPS1JagiN4H//Oe4Pe+ESaZ/OuwQwxqZpekIJIeTm99f/dosKAAINa+YIK+q5+zcbAD7p7Q4PWqclfKS0iDM8yHFcXNqTZVnTNELIAnpITRP8DMMQJMegvHd4QhHACNVirReJDlCVWBviQhxxZHBtgljAteXS565o/sHd+9Tks3f/ywPzzqj70Q0rqqvC7/HEUN3iWs0w3qJTowL3ugqjYQdRp0q6KIp5+hTbtk3TdFxloyjKM4lOMZqQZdm2bS+UEiFE07Sqqp45BsMwKZdd1/V8JOzseLHP3pBJoVc8FAq5rjvJdiIIgmmahBCO47xjCYVCE9DWKYoSBEHTNBbjEl6MAAsAFJClMGIhCgNQlh4d0+5Zlk00U3Ych2ddE+iGFfOuLm97YH2q+3Aip87JKw43T0pLSiK+F1ApxoAwxwIAuA6MmTu7rKAIQkbFf0zOJrZ1tOXI+gEGYFT++8tbBz58Sg5L98WNoXQBGgCufV/d+t2pdtiGhSE5mnmuQsplIIQ1DIPwCYHnhGhHWv+8XQcA1cRR0y1mKG9URpZlx3E4jvPsawCAoqgSmTSyz6fsLmJX5Rmgrsb0+FEbiAHAHCKEkDaLXyDoew0RIYqiKISocysc02W2DVMnlfC6Cy/0oCrG7nF8jDi27d1/4iKfs7dh24Hb/5ZkoL9itvDczgLcYwDgV88P1JUyvSOO7cIhgKcLWjkzBOALv9q5fJbwzY+vGP1JyiuPow9R1bnzv308mjo6s03cAYAnn96y7tKTc27fdd1AgA4ICAgICAgICAiYEgILjuliSnJwBbyrIITYdgHy08knZXD1nQoaG+rnFEuzBSQJHJNwH59cQbwQ7YZS5uwTS3dqvI2BkNFZ2Lqu67puGIYwNvb0aheqrxQ99dmX9giGsVhaZBl2ZCDRFBUh5DgOIYSmad+QW4xxI1Hn2wPzrP65Zv8cq58nTielOIjmiUMhVIr1Gq23CscqSYzStQ+dW0ch3NWfVJ/mOvG/vrb0Z9eJjfYjeqwwDeX4oweq09VnAABA1RCrLeJbuTBF5esU4RlDe/4DgiCIougZQ6eXtCzLcRzXdR3H8VQ5iqJM00wXmimKmoBpRgqiKMZ9nwvamme7HIvFUkKnEUIMw3BcvnlBPctgADBNU5Zlmqa9beZfEwDQdT0uhdu2XW0NzYNoM1IXuYOqGrWiw050ONHkgRCSeLAURS1Eo/ea0zD7U2dmc9i4/rJlBdUtO5Ikga/aTtHxDgGSUwvavOxTHgDGguLx8OBfNnasH0haa2eE2n/4SPbKLJpb57u8f9iynNRKSnxqa0GurWkaRVE0TRvUeAOg9RFPfQaAP2waGtaxJEmKokiSFI1GdV33fNJDoVAoFGoIdTayrwDAgJkkOLvKyuyVjxNJiECuZm3HcS6qIS4gFdP7DREAARCVlhEC27YZChaFyMt9iCXOPIV4NjvpvD7sY6HT0z+Uoj4DwPO7tGUNBQ9RdAw59vQ8y2w7Ynz839Y/8vx205yUD/jE+OXd+6bQMD0gICAgICAgICAgICeBAD1dJEaxBRwfRCL+WbY4zv8+WnHirOmsDgAARVHL5jfe8bFl37ywbkU1XRdCT25TQwJ1+apitzi0fyw0kKHAtu1QKBRfUdf1ReUMAMwvgWd25dDU4i/qTHQgpWGzLOvJZ4Ioun6iJ8Y4Go1qmhaLxTz5u8EamusMNTlDdeag95XjOBjjXiTyY1p2fPULVpf94Jqy/7zq6FL27/XMNhq5RQMPv8dHd+pK/cx2CZlHq25pJaFoAOijpRRPXpqmWZZNV3I9xRNjrCgKIcSz1NA0LWV133OuqirP8wihFFWX47gU59wJEPftRQgZhuHZceRDPG8YxjhRSZdlGWOcRYBWFCV+1IqixEPIXdfVdZ3n+Qmr6vHcd5ZlueowiUZ0PWOEZmKdBUHYRsYjdvWqutOa/TXEz5xZzvP5auv54mS4iPbY+FCkL3GxKRX7XiYlFDKlIq3z6CO7hrGfufSD+4x4oLEvxUWKbzT739/sO9yVeibvfqYXkiNqN0dF7/wjhAhFU9Zo/V1hvJHrDjy9Vy2m2kXSCQDekAzHcaIoIuLMZZ4K0we8kiVcUh5Ihsu3ZW6Ijl+7ZaUUTdOPd1LeCfH++0QXvWGQijmEYRgaAQf2WRWYYZj5RXBCMakTfQRTAiglPych5M5HdvlWoCGcMZi3TKbfkYklv3+t/6O3vbbumhwh8JkoLeFYP39whkEMg0pLOAAIhXym+kVVxzCyNbk4gZdaQD58+MMfvu666wYGfCZqBAQEBAQEBAQEeAQC9HFFZHj4SEf3kY7uILRnOujtHfJdbmUwmqyqKpnO6oyDEKquKP9/5y29/uymD6wqLqou3tiXdGvbGDDNeyKjt8R13fOahLAA21s1nLuxEAAg2Cf/IcdxhBBJkvbTpe1UKK79ZUHXdV2NWmo0UXLSNK0Oa0UKhwEdxsI3v7TsX28+/au3nL3y3EVrazZL1LibNkeZetsTOfdyHBMuK0NpM9ZnS0QNjecq1BixjQvHL3coFGJZ1nVd35SDNE17yQlN03RdNxaLEUJisZgsy7Isi6LohUX7VgZj7Imz8SVTYpCCEDJNk2EYmqa94Posim0iKb7P3lHAmBczxlhVVd90eZIk6brufSvLcsruMMbeWZrY4Xiyfj4liY+lb8JHhBpXNlcXpY70XLGy6JzVE5TwsiBo/j0eCGOSa0lFyjfIz1cXI/rZ3QNhnqqV/APzCaAntmYLgqYo6lMXVeeq7yimTVYKKovIUsWcI5gCIiqmKJomhDiOw7q2YqujQdwUvbJ2tGErHCIEKuhdYfpQyN3tNXivYZfTe1CCVz4FSR1+qfpIPsMtRzu64pdyQYgghP7elXQ2GMAAUMYRZBveUAfHMLZlvdCLdg1DEeWcVOrfU+85kpTt1nXdgz3+9fnHtiiT4aFvxHDLZBoA8ssKOcW8tEe79Or56ct/8t0Tsq84FLF8/aNvvWmx45ChiAUA0ai/gvz9n7yQT93e4+OdAXny6KOPvvTSS8XFqRb/AQEBAQEBAQEBcQIB+niAEPLMm7u/+LtN3/zzgZ8+dfSnTx294e63H3h++1SlAgvwoOgC7pdZs2RZLjhz2iQpLgq93U/5qhS/26o9f9h8u8uKq28IoY+foBSLScLiv5xTfvP5Zd+5pPrbF1UJzJgUQQgAMMN9KS3Kc2AAAF3Xq7FGJpd9TlXVaDQaU6NNlGEWh22GA4SWmhvTS4bpI4MDvRPe0XFAExrXWCVs1haxVpr7AUGIEMIwjOcn4Mmvmqb5atDpqrFXWNM0L27dTxgFjuPSdVVZlvO0n86CLMue14fnJe26bj5NS5KkdIsMr9qe/u4tUVU1FAp50raiKIIgePHOXgFVVTVNm3LVKT2o3JdMaSHjEERdfP6c+KVgKLjt481XnnvCdBijh4uLchdKxuaklNxuNE2bckmNgB1CLm5kizPE4O4YyjHGcPHaRflX4y//7FmzoKqkvqG2seHkBVWnL6iIMpInQPOOQbsOi0fHEpataOZpAICIQX5x/mYCSGLUaqHNa2/RaBQAiqiOxI2nnGkaOWrrn3NWqWNofBRtvoIPRlMGkQgBBACDFhIEwXVdl8Cb/fD6sKg56KiOCCGZ2uTmSFKDOdrV51vMY2Vj0q/Sz66e4/3huOClK8xjPHJaePOQflmaBv3tH+7IfwuJ1+X7t+8CgOs+2XT9tc2Zyr/xVr+m5e6pguH8gHwoLS31siO80xUJCAgICAgICHj3EgjQ08JM+m/0Dw7dcPfbj+6Mucn6zOut1vce3hK8O00h5eECYlt+8oO170iuPClzwqR9A876o9YvNo5GgLqua9v2Z88Ir6znAODy5cW3XlyFHN1xHE3TNE298Zyy+ZX8hQtERDPI1E0tmiIsCoLgRQgSQoqJ1eREpmTMAyHEuRYACJZWx+33LXNYI+v79LF/sa2tHVFVe++09tULmrxRgRqsFpcVE8o/PLmND4uimBhpnuJw4pESwuyLb4xnfKFhGN5m83dYzk5ccfY09CwlKYried5zzzAMI6UNMAzjyZosyyZ+FY1GXdd1XVdVVcMwMqbOS2DybTtT8HUikiQlnuoo8ZEzDEa44ZLakIC+s676/q+fMbu+Zpq6mpKSEijwnjLFokTfbZ7nBVnh1aETy2mRoaLR6IfmZmoh6O9Zg6BFUThjib8g/rPrU6O/D3UnuysgyhGLvAbA6sM0IjY11lFS9NVn1QDAbeccpimHRqNXmWEYiqLKi/A89h8UynHpS9m+g7teyV5m29DomXx/jYsB7YmmPH0hdyw++okummZYwyFNIaS56NIaXMYSlmVjsdiaMp+a6JhK7Jnf2tOdXibOkvokC5d/faAle7VnkvWH9HM/No9Ps/DOwsrlpQDAMAgAbv/+8tNWJ+VdeODh1g2bslkifPmmvBIrvnd+WQImzJIlSxLTYwQEBAQEBAQEBKQTCNDTwozN2dy6p+XWvx7K9G1fjDz8YgEBRAHZKS3N11KjuJidM6d2WiuTiUoptxSFCbAs67kc6Lp+8dKSW95X0VyCVVWVZfm+jWqnRrMsaxjGh04MrVhaTw/34cHudCvMWCwWVx69uNHJ15/neUIIC5gj7nnIP65Qx7IlJkpRSJfLdurU1r0Hj3T3vkfEgovrhIVsDErLwc9UFwBoPfqbh7Y7bqpxSrqU7HlAZ9+dbdu+odPexuNtg+O4yb+Bsywb32AsFmNZNosGLUmSaZqqqqqqmn4UjuNIkhQKhSbvST0lgyuqqgqC4MVf+xZIvFiCILSAv2AdFUt++aXTFi2YO/kqZYftS81llxObE+NHx3KcVlylFVc+1zHaDlVVvWq+vwa9c5jS9YzZUAHgstMbfJf/72OtOepEMAHkXUHTNGOxmGiPK7aOXPq504vC3HjgMEIAQGRZmsW8TgDa7VU5O5VmaXNvbzbl18AIAE4NY0LI6/3jjh6NnM8hP9lNH1ShTUMAsHkQVhTZXix2JZ/BhaNzXGZ9aH0G4xQAALj31WzfThUfOGk830C5QnNMvgMk244Yc8+dXVuT7+ShzduGAMBxCADc/L1tgpB0WzkO2bYzAgCfuWZOiV/s/YFD0Q0b9+bcS2ADHZCTU089taenZ9OmTe90RQICAgICAgIC3r0EAvQxTHdP3y9fH8xe5uUW6z2ix80MZ55RmU+xe35z8TsS/gwAC8O5XZgjBhYEAQA4jnNd18sQiDGWZfmZPeqwQeZW8J4vgeu6nB4lpp4pRZjjOIkBj5MEIeRlNawwhhqdSB9a7lus25nju3ynKT3XhR/a1tneffwbdBQXhU5snlXnRn2+I7h714FfPnoIAJg03xiO40KhkKIoXlo2b0nOCGgYywo4A6S4Leu67jXXiRGNRjHGk5mVwnGcoihTNbfaMIxoNEpRlOf+kfiVJEmJoawUk3E6QzNjzkwPM6/Z/14DANryd8ww5VJBCSGEEEIuwwHA0f2HeozxxsMQJ+SXOA4Atrdm03CbZ6VaTnu09pgfObv6E+ckRb8yauKPIwIAz3TF+xyyVUQwGsuyaJbVd8RmJ64uOG1z2ae8NRvYjfmc7HL14ZzjHBU8vNJPR+zxzbVaPm1bpMiSkLsiZEo0ObHIjqcZdF2XSvN/B4AdQxgAMMZ//ef2nPVcXDd6sy+qzX3XT4y/vT3aL5XKlGZhyyngIaR72MFzKz71hUVLFhZsp7v+rX7f5b+9v0WW/H8Z//U7b6lqjqHTwM0sICc33XTTqlWrrrnmmieeeCJoMAEBAQEBAQEBvgQC9NQzM4+etm3/+Mm2fEru2pcxRDqgUG751jk5y9xx+ynV1f5CybRCCLnnxT1/P5RbaHtwZ+yPu7QtR40R3dFhVP4QBOFnz/VuaosxFNz/5iAAGIbhOE5OU9ophBCiqqplWY7jIIS6YhWtcH56sR5mXvpCNjZsERoAdEI/24Uf3nrUmkEnnHeKufU1JUYkcQnT3/XgX3Y8sW1UUnlu+2BK+LDjOLFYTFXVRNHZi6/MAk3TvmGAKTLo5FVRURTjclucWCyWYu4hCIIkSSkpBzOhaZpn9zyxKnlh3VM7t9rL+mgYhiAI8UyPiWdPEIQDEMq0elPNDPUwCCF6oNPu7YwcOeIM9IAzLrASOqM+rhVVcGUVfElYV8IAsGOYQgltwzCM8xv81cD1XdkEXEkSw0X+K3b0G6cuTTonbmKTRggQoihKkiSvN1NVtcwYIsx4ozpcdLbujMf4N4i7C23KCEGs9U+ZvvUkWNslI06ODZ8exudXYcMwTNM8rxIn3g66ri8r8RFzVZeOqtq3717/wKv+CiwAnDZv9OjWLhj1i9/T6TOseEJ9Aaq0wCIACIkZfyCGNKxbqRVmcw3l2C55bKvaXVZ0xpVzP/nxxrlzxu/cqz48O8uKuuEiBFdeXp/+VbjMP+4eY3Lnf76WvT7BKH5ATmia/s1vfsOy7Lp165YsWXLfffft3LnzyJEj7RkIGlVAQMAxDXFN4hj5/iPH/7CcS4iDcX7/3i0/AJgQw3bz/Gc6x/9FDJgZcgdLBhTKzAjQf3x5b579wJ//fMC6zF25ItUlM2ACFIWU79268gc/3pypwDe/sfT005bMZJXi/Om1fbsH8m17tRL+x04NAD6wLLSkVkYIqar6lXMqf/58r26TI0N2f9QSKSyKoq7r2Zv0lBvOMAwTd3IY1ul+cVE57EksYAk+wlz/iAEwHkuoEeahnX2fOKEyu4PwccDyxrq9h9t6xHJBHXzwhaMDWtLF2tWln7OkVKCouIwVt0UGAISQ53mScy+CIGS3WJmqgFzfQGOMMc/zlmV5Ufk0TWtaYZbftm27rstx3AS8OBzH8bIUTkffHr8uKWI6wzBmhhHiUjvKMgUHh06YmEn+sN2rmA4Q4SiQWTihgp5VxrCC6Bj6/n573wC+fGU5XRweWwmZ0rhhkepQkPzLWMRgGoGbdgGHLORlnsxUma9/pPmW3+5LX/7GzsjeI0ntk+folHEMC2jNwaWy7A230CS540JoC3v5avxnBk3cb8EmPjY1Hg2c2e9wrbHR20RA2CA+15cCKKYdANrTytObXL0IWyPp68Efnt29109QjvO+FZVvHGgFgAdez+bCseNoto3EqSxiekccwyYAENWz3RdL6/mdydu0XQAAhoKczzB7Os09AFBdGq4u5RkksOiZDnzp1fOf++NBy/JfmRAYilgAMLdZOXho/Ibavms4015eeLn75q8ZophtmoVvFtaAgDi33Xbbz372M+/vvXv3XnvttdnL27Z93D+cBAQEHM9svhNI3i+AJ3wBxPLcxY5ZXEze6hp283sxQQBzRZDfBVGgHUP6r14+mGdhgsFvDl5AQMG8C9r+cccM2AXGdP211rzeEj+5XHjhxe6vfP2N//3lS0HAxZTwvgtX3HXnqenLEYIH7r1w3fvXzHyVAGBPS/umngKE4G2tMQBgaVhaJ931zz4AEEVRNcab7m/fGJJlOR/RbcrTvjMMEzcicF23z21O/LbPrsVMWiwbwZ1OauCeA9R9O/pnMiPoO8XCptmnlrH//fiRFPUZAHqjeMfRWPxFV1GUxGBnWZYpisrHvDt7FDwhxCswydEImqZ9BWKEEMZYFEVVVXVdV1V1Ar0ZxnhiORK9LIW+FthThSzLKRHW/ZAxEHVRmTx9NUknoiZZbVgYhkx45aj7++3mPW9FHthubujEERNe3T3gn7FwbKFDxvU7XdfXNfkHUDtZm9DyxXNEzqcpEoD59fKla0Zfb75xZY1Y3xSyRiCh+xqSyqyiihhivVh4BIDw2L4IAQDM8G/SH485uU8vIbB75OT05QZVlVaSuK7b1bX3rPn8hxajRsG6osE8uzjqqz4DAEKEYZg9UTRsU5ZLnuqm4w2PpmmEkOv4d2htAzlGVoql0Y5at8jK2RPxtDln0fiZ6R1xPCuPOZVJ1/HatUmZEmgKPnN+na8HNC7wDjYdMqxjAHjzkF6yqq5pdsbL9MLLvesurvvezSflv/ENG3MkYwxMFQKywzAMXwjvdH0DAgICJocVBVvN9997IALacomZ979CH4GmCZeQqOHk+888/l+oA2aGYPj9mGTDnqP5FJtTSn3z5o3e3w/+6fB55zYvmO+fxCmgIFavXvzqiwu2bz947+/39vboy5eFP/aRRY2NPtN+ZwZCyO82j+RfvrkY3u4nAGC78OOnegDg9md6UoLRXEwwxeQj86mqGgqFYGyeMsY40cd2AniBrnE9jhBig8iCDgCEwAFubfoqzHA/ySDY/WVXz0eX1x33wWtxQ+d0/rxx8M8bBz+6Orx8lpSoPntnmGXZnEkIKYrKZALundj4IMQERiPoMXRd53k+Hp2diCRJU5Li0kuzmTOoP9O6oVAop1fJBEiPy5YkqQX8JUIW2+GyGY0iOTjorwh/eB481Qrq2ONoyzBZq0VppSilmNXRAkADwFEVVySIrmWCvwI7OBytrcymzvzg2rn/+uv96ctbumLXXDjvyQ39AFC3bCkAMMXhUkLU/j5bKfEEZwCIiqVWpFvi+Wg0WkHIkFDqIgpTDBBCm1otO2KUnTXSu6Na8M++qLvyPmstW1mPBbN9KNIgJUWOGDgpMp0Q0t29l+NojqMAgBBgWSYWM8pLOW4EuwS5aRlEPXPsgyp1UAUAUBgSvyM8k5ZMXfLB7mxj0isbha/fP27GFQ5NZNTwxT1J9+DuDhMAWnqTXkjufTUpPNvFcOO9LSwNEodiyV4c6W9fDWF2cb385oHocCzHOJZLYKSu7KtXzP6Pu3b7Fnj8qY7Hn+pIXPL5Ty1cvLC0KMRee8Mr6eXve3DP2WcuzrJHjPGUD7UGHE987Wtfu+666/IvHzSngICAgICAgPcggQA9xcxMlPFrB1NFEO8tNnHfLAUb/5L0lv7pzz9/z6/Pnzc30KCnAJqmV6xYsOLdYWyys0Cbb20k1WM3RX3maPjyxQ1uUVh2rHyEv0RVjmVZhmEmPA/A81hIjAZlWXafeXY111oOewbdWktOVbgAoFXLGJ/bXMpsa+85cVb1xOpzrIAQWlTN7unOODr99I7B0+e5lsWnSMkcx+W8xJl0YRgLDPTCPGEsApphGNd18+wMPfnVC09GCPmuNYX9qqZpeTpHp6Oq6oTXzQRCKDHk38OkWEiTJj3msQVbiEySTFpgtwYcDZDQ4p7b0vW+M0Ipgz0vdo1+PDDsVpfT8Rj5iDnBcJglC5sBfAToniFrV5sKAF+4rHq8DggpFZV2f7cqlsJYFL/DiRyYLMtqmsbHYoIgDChVVUZHWRnvPRRxlSfs7Zm9UEyyBu63ajvZU+jSsDfUQ/ECF57bN6RVCF3xMhyXJJ0fOLAzHB5fMjRECEEcJ8oy4hGJ+gVBnyJHCZFrebfTpAEg5gDDMN40DougYRMQdgBSAvnJHN58Ievp3Nya1Oe/vDfGMSj/3ICVRXTvSL6TG9K3bLtgp/utpNE+YJ86D8XDpU+cJWw9kvpTlcj9b0WvuWHRH3+3z8yjLf3yd3uzfHuwRTVNi+czzpAIIqADshMOh8PhcO5yAQEBAQEBAQHvYQILjmMPjHHHSOq7kMDCR5fxie/986xoV3eqZnTd9c8fOdI5zRUMmGke3ZeXH4tHrQx7+7JOcq/lbvzIcra0EiYUoWPbtiAIAMAwDE3ToigWanSYonWapmlZVp/bPAjzdgvnpZenDW2E+Mf/niSqhlAU5YvaunoKqsOxyGUnVWb59mdXMsV8tLZk2Ls6cTDGOc0lMMaZQsg9PRcAJEmSZZmmacRJQybtUIISStUi01EURdd113W9tJO+UrggCJnk74lhmubE8moSQqZch/KMbhKXIIR6M4TzI4Ln1NVMbQVywlL+F7FHhxOSQ7E7NRg8lOwl51jD9ujqR1UiiqL3tyiK67v9x6joPC7NTz/V7Lv8F4+2AcC8FQtTlrPl1SUCjVwbACjboK1RWZPneY7jYrFYRaxPlpPEx8qqonbq/B6jDgB6jbod7FU95ZcmmFwDAHRHECo/ccgaXyiHSkZGRrp7+9o7Onbs2hVXnwkhhIDjYC+b5cCATzM6JzQMQDZosu2Mqs8AgAHis/WJZWyJIJljAODkEvu8BvaCJunCBWUXLa2ZP7+J97O5yITtkouWFZCTM3/1GQDy17XT+dObQ30jow0ju/rs8eQ2ddEFjVUVGUPmL7+0LvGjIFCL5vsMYQLA9p2tWXYUOJgFBAQEBAQEBAQETJJAgJ5iZuAtxVcB0W14eLsZFwrOrKf/9KdW39U/+alnp61qAe8M0UJMmUScI4LyojMXUGOS8cScK1RVFQTBuxd0XU9RPLPAsmy61YPnTqDrej8srnDVsBkpMyPVen+N3l9lDJRYUS3il5MLoJHRoiWjal07SMd9CNuS5owmMP/2QVFgMQDwjN1QOhAKjWtPuq7rup5dg7YsK8t8YcuymNKK/7h/3+d+tPXrd277+bO9v3l14D9f6PvhE12IFbNsNiWaOJPLB03TU9uv2rYtSdLEZkCbpjmFU6dlWU7X3AVBGAH/AZU5eGTmzWTmlvo/J7SOQHNxamUeO4hxdDD+ceBoR2Io91uLIeuUAAAgAElEQVQ9rizLkqw80uJ2av7XtEjO7bW9bMm8TF999tIaiuMAY8pIOrGIZoSR3lm4c2HRyNwaVFpKZBlM02QYhmVZQsjgoD0wkKR4ygrHVi4/hM/vq7iYEn0ch+nyWopCTumqmKMAwIHockIGR0aOPtWuP9uN3zKKIsOjnS1CKBIh8ZEGiqLOrSInyrF19QYAFFPOCkndqIfW1ZKzyuy9w4k9FfpHN4UERZIkhFCDBM/3Uuc3iuUNs9iScloppjgeEAKAJfWFucq29M50KD0ArJ6TrUOYGO2D9vLlZZm+rQgLH1rXGP+IAN3w6bm+JQ+1DEx53QICAgICAgICAgIC4gQC9BQzAxnPsmgx3iTXEhH93x1bM5XBmLS2dmT6NuCYI5PZBe2nU5Vw8HZ7tiZ63elliB2LBMT5uiikYxiG67qu61IUlf9NYdt29uQ8seiIPTzI2UYsOqJFR/SRYUodai7mlodSd8EB5sorYUytIxR9pKdvAgdyDMEwzHVrfdyB1y0Tq0vGxSaawrWhLi9s2YMQ4pv6L7FA+igCwzCKouw3pGe6UMwwzz2tCtKCH+98tjcUCmUKgc8zY+F0SK6qqrIsO4Etu64bD+OdJDRN27adfosZNEcy+G8sapo1JbsuiLl1Fb7LT66ELtWnf3jozfiNhl/qSvpq56B7z1773r2Wltmhh2VzT5hACH3iXJ9alcj0kjVLAcDqOERrEaQlOePzNbNFYXTwgKIQx42ObWCMLcsyTZMQvjtt2hBFIcjQThCiunstmqa04rU94vvCdXUUhUSROTsc9QyxXh4qsiwXAEZGSOL4VzQadV3cUMQXKdwHGgwV0yamDAdFo9Gn+4VWK+lecwn6Zx/9VA/D8/whFc4q02kplF6ZMjmjC7wvuzrM5qqJ5OScDG+16Fec7B+ADAAZQu1zM3dpqgD9xc/MBQCGRvc+2PLo39viy3XD/crNm3038sRTOVJrHPdDmAFTguu63d3dW7Zsef755x9//PE33ngj8VvDMHRdz/6DGxAQEBAQEBBwvBII0MceOePv2p87mF02/O//838BCzgWyaTi+VpuzpGzWTOXy1TVnKbxzyhHbrp8kCQpU2SrL140rm9AblwuTLQsEAQhGo2K5sg5xbEqNn50ZH6YBSrpTuly2eN+GvV5qxbMrUjVoS5bnnrREYL64iQNOkWKpSiK5/lQKBQKhWRZFkUx8dQhhGRZfrWfeeCAvWvIjVjQ1qfW1xYBgJvW7P6yechXgKZpuqCGMSUIgqAoiqcgY4yzZG7MjizLhRrLpCOKYroMIQjCYfD3Rqgyh96RXJrhEh+5EwDWd0FYRFel2eCbLhzcdQAAOg4dcUlhFRZpkueJvfwcn5Rx3/zUEu8UcQ3zLNO0B3vY/qPsQAc70EFH+hBCnUPjzzy6PmqA7rquN0imqipN8ymdxIibLSLbVSoAgKYRy473NkUh9ozQMAAhgJ7rFEdGLNuGaDTJOlzXdVVVe3p0BKxM47llwjIp9mK0OHUHY2BAL3aTVSFdrJuD/J4B6ipSx0UW1eaIiV4xe1zpZmlgZyQp2uv7NS6DW0ieSeF/elVTypKu4dQfwf/57UEAcFziOATn2u6qleH3f2LucHnR9l0+3uIBAfkzMDBw1VVXrV69etWqVRdccMHll1/+3e9+N7HA7bffvnr16h/+8IfH/dNIQEBAQEBAQEA6QRLCKWYGnikpiqqQUF/Mf0frZpGfHon5fhVnw8b+xx7ftO79J70jckbAZLAsq613sHtIBSD14aKGynD+QhgCOHFO6YlzMhaghGSpBaHJt5BCtxAPmk7MR8cwjG8ePIZh4g4Guq4vliAapWKYOlE2YnxVSmGHFRzHzSe+8pjm1o+v/NZ9m+KKzBUninyGtHU1od4uqPRMMDiO8zQ4nudFrPMjraHubeLAAQQYAPTSuTsWXF2uKLquc4L4Vq97sDNJ1D6kovlzqwGASQu8PzJgpQ9j8DyfeO0mA03TPM+7rptpgwghz74AAOL5LVmWdV1XEIRCI9FkWY5vYQK1TbT+SEzdGcdheJwh/Lm5PGPo6LTCZbhlJAYeO0QsvyGqV9rx7PKO13tIplSKmTi1Kt9BcVmWPnle1e9fGPd2P2NpkVg5nmuU4zjPcDm+RCEulNcORg6XlXAAoCjINFN3F4vFYjFFkojXYDAmTElaqDUh8ZholKH7LQ/zp7iRN2OlPIVsm/N9MAiFFIqCYc2s5tmeEWtzzMflAwAoILWcPa+YokWJKa4fqwJJ6VrrqhSA3sQlezpzDPBsbNHvvKbZdLAi8rMbagkhm3Yc+v0r3b0jtm5N15NMQXbSvtzy4OGUJW8ezPHM4wvPU5/4+JxXW439EWf/LhUAbrnv8GO3NWca48cYT8w7PuA9wptvvvnBD36wq6sLAHier66u7uhInW64du3aH/3oR7NmzUq/hbNACInFYpFIpKenZ2hoCADmz5/f0JAtozjGuK2trb29HQBqamoaGxsnPOAaEBAQEBAQEDBVHOdazAwzYxENZ85T/rLNR7w4oYr+6e1bAUCWGS3LJGeAO+7a8caG7tt/fGmgQR8ruK778q62rcPeuzELABsjBhzqWFGS7/u8wgJXWZe73JRS0E3hJS3UNE2W5UR3AoZhYrFY+qYoikp0INF1/fRSplXFseJU9dlDjWmlxRljDI8PGIb52afWPPry7r9ujtAUXLIsYz9AU25dcVcfUx4zEADwPC+5Ws2mXzLmSEpJpEeeancAoCnEHj7qY6iiuRQBwjKIThOgRwzMsJxlWRRFybJMCHFdl6ZphBDDMJkMZBLxbJczRfqLouiJjLZti6KYOEohyzLGmBCSLkx7aruXQVFVVY7jHMfxxOUsLVYURcMYz19HCPEOJ+chxOuTXXPneX4/+KuQAFBWWprnjqaWTNMgvF+YSgl6/dS/9Yc1CriCJlAggNMWzc6//EcuWv7khheGVBcAaAqu/ODKxG/t0moJdybOlrD0GCXrZnHjSLStKMQCgKKAqqLEK04I0XUiy6PNeGjYhdKkJk1cFxAgNKZR0hk1nepK4Yz+GMYYgPYd5yAEhofV3brY47CQwfW7lHZWN1cgfjRUGRsxSpCAENpQXV5CCZM8JCU1UltgkWFnbMwI4EfXnFhUNB7ejhBatWzuqmVzCSHfv2f9tjxyAL5LsFwSUpiomtqZ/OQ7J3z7RzvSy68+ObxoRfjxTSN/2aqmfPXw09s/cekK3704jjP5eQ8Bxyt9fX1r1651HKeqquqBBx44/fTTh4aG0jXihQsXVlVVdXR05P9oRAi58cYb29vbPb8gb8Xrr78+iwA9MjLyrW99q6Ojw+u9KYoqLi6+4447KiuzZSoOCAgICAgICJhugmiOaYcQYtv21LoHnrLIR0ZEAM/dv8f7O7v67PH6+r7Hnnh7CmsVMH2YpnX3hiNj6nMSWyL0+/ITbaQC350pPZqPPpgd3xEOSZJSgnFYlhVFked5TwFUVVWWx5U4hmF839Zc103ZvmVZjQolu/7SSd/Q8ESOYSpwXbe3r/9oZ1dnV/fkz2p2EEIfPHvJ77606jOnKxyTredBAJVy/6yyfo62mzf9Z8Ob/56uPgNAJLzI++NwNLMBva5VlLC+Lq63PdXN8LJDCS/tiz66JfKTp/r+64Weee3/k93vO46nLPt+JQhCXNLFGJum6ZlseD4btm3ruh6XjH1RVVWSJIwxTdPRaDSx1aXAcRzGOC43ew3VcyPxLa8oiidXMQwjy7KiKNnVZ4SQxYpuhh/lcmv4nRosdDP8eNVIUMzBBxf4pxhVbbisqTCL4cua2IJi9Gia/uXNZ/AMAoDvf2r+uHn96NcMLqlM9C63LIuJDgJCmjI7FnMgDxsWnUkdr0I0TRkaxM9J5mtCCDiOgxByHIcQ4jVLSZJkWfbaA8NAdbVUlPkOraCtNYvr4+ozEDI2SYUwsRGUbDHEl5bRyW3HsEkWV42fX7coUX1OOkaEvnPN6jJ5Riw5pojSEp/GlqI+f/iDsz7wibkNp9Xuc9i/bRzxdeZ49I3jPFVAwDRxxx13OI5z5ZVX7tq164ILLkh/yPEoKysrLS3t7e0taGyeYZj58+dfcMEFV111VfbAZwCIRCK33npre3v73Llzr7322muvvfakk06KRCK33HLL8PA79ggUEBAQEBAQEABBBPS0cuBA67e++2Z3j+49Z1ZXCT/5/qqFC/0zsBdESFHmlTMH+pNkrJN4496BpCm3q06qCCnsP1/uzLSdO+/acclFyzkumJf3rgZjfPemDgNnHC7aZcgAud0MBNZHLCHYTREyxvfLSzzPTzJbjq/YalkWx3Ge/uiJhpqmpeQqzGfMxnXdlKhSb3dlJKrRPrpYjxBusu0ZnohKCNnV3jXEFQOSgAYAODRgCdbQiprSaY2n4zjujJOXdXUcrlJ6s5ekEGHRiK/07NHP10Iuu+bB3v6rLq198Emf3sbF8LNnehKXfOpEzeRqhFgbFWoyDCNnmspM7+peDHL8I8Y4u9zsS2KQbCwWi8dEe1k0PfsX27bTL5YnRjuO460SX+7J5aqqiqLo2WcnfpsJWVG2E3/3ZwBYXu+fCXAGyCh8I6ApMC3/lqHbZOX8WS8d3T9i5zXOPUchJy9oLLRuiiw9/OPzdrW0hxp8RuEIJ1Al5fxQX9xtPKZpEnTa4dqI0MBYRzkOpXdx8eN1HEyHSpK3SAAhJjaCXdcN5QhIHxwkhmFQFIUx9gyF4p2hKIpILsb2oCDws0P2gQxtdnEZnaRwI0QIRohCruN3P6DaErZ9MOlWsv2i81c2Ch9YXdE0qyZL5RmG+dVXT//BvW/tPOpTudXN0lc+uEyWxLFJADiqxb74v5uzBFz7sm5F6PEtPnO5JsBZZ1Y9kGbNkcKeEWhvyXEnGjaJDI+UFL8zdjcBxy6vv/56SUnJbbfdFg6HsxTjeZ7jOM9GI08QQj//+c/jHw8cOOAZa/hCCLnnnntaW1vnzJlz2223eU8769atu+222zZu3Pi9733v3//93wMnmYCAgICAgIB3iuApZFrAGH/wow9de/2LXd16XB7p7jE+fcOr//L1x6ZkF9edlZSHZ0kVfe89B1LKbHy7L4v67PHs81unpD4B08fLOw5lUZ8BwAV0SVPu6EjWbxuZ1GcAAIqefOS+ruvpIaJeSKDn0MpxnGmaKTtCCCUuMQyD4/yjKVNWFEXRNE0qo2SGNnVnlFmnA13XX+vRhvgSSK6Swcnr+82BwcFp3TtCqLZ+Tp8+K2fJ7MFYW+nGnFvYG0UVFaGKstxBr18+DVZybxwJXcHydH3PI/mo8J5Xhve3oiihUEiSJEVRpnwsAWOsaVooFLJtm6IoRVFc19U0zbKsWCxmmqZvbb2AfS/E1fP98JxAdF23bTsfq2tZlreTjJpXmR2VMsSAzwB0BrWihAcE8HK7f9MxXUAIffWceQhyi5ILivA1p8+bWPU4jlVq6zN9iwUFqhuV0GioL8ZYjY6wAx0IoX6m3nUhFIKUviXBUyWtG0EIACwXu1IOgVLTiKbFYKyDIoTERR9JkhiGcYyYUdIEAFV+t4yE3DOLNaEqdaoTP9gFAIThrNLq9LVOX5RbNv36xeUfv3KNOGvOvq4cob4sw/zo06f+92cXVxWNt3mGgh9+pOGWq09RZAkhRFEUTdMcx4ZLix+65ezPn5ckvZ27WPnqJdlk7qlSnwGgfrZ/NHci7f15DaZu3dc16eoEvOfYvXt3cXFxY2Nj9mIURSGEpi8Br67re/fu5Tjupptuiv8+Mgzz1a9+lWGYlpaWLOJ1QEBAQEBAQMB0E0RATyVefJNpmpd/+E/RqP8s+02bB3/4k6e/c8v7Jjmfuqy0+Fvvq7ntmS4AoBGsf2SC2dtvv3PnZZesmkxNAqYV0zS3jOQW9bbE5MuaY/84lFEwZik4d1Xm/IPpEIKGehKDQydGJvfeeOCqrzzHMExiKKvjOBzH+VoGJyaMkiQpbgcMGdwdHE7UdT2TpcPU4rru2xEHMkn8CO22hZMNQxT8TQymiuqa2mg0JDq7JtzlRN3ck/F7TZqvbags6xjIKvJcezK7hn2KAELg1OgvgxXNlPIrBe+qeUJwfNRBmIZTR8awbTslNDtRRkwhU/5DiqJyTrXmOK4FhTK7OZATa8ryqfk0kemQ9wzCyZUg8FzLiM8lt9zRdb/3vnl3vXggYvkfHYPIh5roxfMnqD6Pkr1lI2SHa0XnSNwfXI1GJbcdl1T00zWlVockcYlB0BhjQmiEwDtuQgg4Fj/Sb4XrAAA7DlU1CzLPHSEELAtiMZI4NkZRVLwbjMVioVCIKi4jCB3pAw6cxZKzJ8YjgJOKzdLqGorL2KpVG3s/Br67Xji7BF4fAACOQVZakLTAou9cvYgrGw2lp4vK9nX2zq+pyPIoghBqqKv+1dd8xG7fwhetXX7RWu8kjCdYe2l3ZEtrav7YfPCm7OQZVS0KOcIpOC71MO/8dNNNd/sETT+xvvvs1Qt8N1JQ4riA9xSappWWlqb8nKW3Fs/EOU/7qQkQjUa7uroaGxvLy8sTlyuKsmbNmtdff33//v2zZxdgtR8QEBAQEBAQMIUEEdBTDCHkpm8+nUl99njm+a6WwzkCk/NhdkPd99c1lororLBzpH3iQuEEJq0HzBiv7D2aZ8m3VWlpvVDlp6yKDHzl9AqKKSRcFLtgm5PPqylJkm8DMwwji3rIsmzKri3L8g13TSwWV8ocx+FwRleHI30DOas9JWzu6CdZAswBAGBHX3QGkpeGQiGNWpilACEZVRWMqF4zL424KDZw/cf883cBwHkL5f+67oR5tSEAQEDmRh/29pzPlgHAdV3HcViWTdT18hSvpwqMcUHCgSzLOYdwEEIWJ2mZB4Mr3Jgsp+aXm0koiirJcNCLwsiy/QccpLGbFSH01XPnf3KRVM4nXWsWkUtmM7deOG/x/OaprO4YhBBaG6ZHvJsdUVIoMXo9FovRw/2IogepSsfBiQ0JY+y60N9PKAph20IEs1okRo+eAoqmvfkC3FC3Vzq+omFAfz/p6bG7u9WUAQlRFBPH4WKxGK2rAMBW1JGKplnNTRcurblgaXV4VlMW9ZkQwmcN+Zdrar0/wiEWAEIJmizPoB/csCauPnvQxeG2jil4FEknUXf7zjVrypSC79Pls4Tf37z24W+f84vrF9/8gdlM1mfVqmLm7FOWMUw2afjT16Q2szf2+k9N2Ndh5J9ZNCDAo6qqynXdnKHNsVhM1/WGhoZpGsk4evQoAIRCofRJY01NTQBQkPtHQEBAQEBAQMDUEkRATzEvvbxz89bc0+r/9ZZXHnnoY5N/AK2uLP/pVeEf/fSZyWykpeXo4sVT4EwdMB3siRbw6t5nM1SRclaZ+nLH+MI1NdQHT11ACNHyHmigeo9QFKXqEwlbS8FL7JYpzJnned8XNl9N1hOJEEI8zyOEGIbx4mE9f1WGYeJin+M4IdcYoPzFml6uNNrW3SAxleXh6QtnGx6JGnzuWeEmJw9GIuHSHH6yk6e4uKS/r7GEbfU94CwaeEzJ6G/gwVJkcRGsrC+uq64EgAsWCs/tTWpqZ8wRrr5gqaLIhJA//nGzGTvpK2dtpoCoUD4kLsxff7dtWxCEGRgwy9IqNE3jOC5PY/R8Dk1SlB2ZrZ+BkBV12RxFZ4YFZdSGLp/JFX/cR7gM/VMxn3QO582umzcbTNMcUWOu63AsV1aamt9v4hCcPpqOEHIFhY10o6Fup7TaUUo5XU2cQqFpmkJ322U1FlMrkE7LGg14tyxrcJApKUHDwza2B6jyGqekCo0Mxbfr/d8qqSKmQVwn/hilaeBr9o0QSmlRruu6MRWUMhgbM0MIZUtoGC8jpg1FEMINdlpF5cDygCieRaZNuoYsAIga45fsxstnUZzPMIJTWl1oVC8hpL2ze1vrMCFk6azi2XVV2ceBKIq6++tnfuiHL/om/UuHpeHXXz65tGTUTqS+trq+Fu6dV/OZuzb4RkPXlDD/ccOat7ceWrK0bMk85ZHH2i3Lp61SQurPwV9fz2iO39s/VFNVnunbgIB0lixZ8uqrr+7YsWPVqmxzCjdv3tzW1nbOOedM07NHZ2cnADAMk759b+JXpjyEf/vb39It1zxDqnd5kEr8d9Y0zWPa3to7ENu2j/VpFvHfWcuyJu/j987iuu7Ekou8O5naYyloHodlmYSagl17LSrxZqcdJ38xq6CAn4LCgwiQ/ENqRtcAAADTNN/BW96aNj8oGD0neRfO8xkRAABs286/Jfsmo8q+8YLKzzCebDIDsWvTSiBATyWO4/zgp5vzKdndY2iarihTENeGELr1Wxe2tP714KFsdooIAUUh1/VprzF9GnufgMngOI6TOTQ1E/sd5eQGuwTZjVXFjTXl/FggDI50UyV5pDKzLcMwpuqp0ftZ9TTilK9UVVUUxVeANgwjXZvWNM2LP3Ucx/s58VyAvUxxnntvvLCCTddGEdZP2kNIF4r2Y9jfE+Pt2AkVoekwwTg0MAJSXrLywagTnnb9GQCgvKJa14tA28kxqRc3y+9YTM4yAZ9cWMecvGB24lvfh88+YUv72/0arimizpynnH3SvKKQAgCGYVzy/vsjwzYAbN05/9dfPBKC/hDXf4BaFfd39l69vDbDMEy8zdi27TWGROWX4zh9KsZI0vFapq+YSAhhWXaSmTk9KIriJGUHyTZK0QxRni/JUmBmqCkRoMsnlPvSJvRKB1H9HtUUv9EfnucrpmPu+VAPlKfaJQMA0LQdrkO2RQjhBjrcorCMUGIvoWuqSDoAgPASjVWWZb1BrFgshrFQXc1Zg5YDAITQRWm3KEVTPAP9R0Ea7aIzhc0qihKNpv46u65Lm5rR28nP9nd78MWKDrOJ9tOEsIOdGGOgRp/lTp0rv7Qntd3ODrPlTY2Ztrm/q29BbWU+ex8Yijy6vu3Nllj8OeLRLRGAtsuXF1++dlF2K4/83yxOm6/E1ec4iiw9+K2znn5jz70v9cbdRSgE159fdeGpi374s3++vL4XAHbtGxEk9op11W9vHjiYnG/wpT25rdjj/O+je370+bXpywMLjoBMnHLKKc8888yXvvSlZ599tqioKP7kEy9ACOnv77/qqqsMw1izZs00NSRPXxZFMX373hSQTC/tt99+e/pbem1tbXl5eT5JdN8NTN4y7t2AZVlT8oDxbuC40W2PlVsgJ47jTOGxFPQwF4vFXGfKdp14swuWmb+YVdC7bWEaHylU3R79I588MdOHXqAERFFA532YdkEKfiGXRtf1/FtyoYKyaZrTl6dh8nj9aiBAB4zT1dVn2/nePy++vPv9l548JfulKKqiRj7SZ1EIFJk5Y3X5kgWhP/+1bf+B8ZfeK9Y1XXnFnKuufSF9ddMIZpu+S5nw83SHxa5pFBobahMXNlWVtxkkh18qADOSX6qmTKszjCcHAwDP856dbqIFapy4ZXM6XkRz4g+Al9vNe4OKL8/y86PrepEIESJnO16ETE7eFHERGSk1Iotm109V+AwhRBPz1Q0tPjVJ4/QhihLmTz7atqeuNEkRI2nRlyMl83oazhTlUKdOQb/Pps6pcE5ZOi89+JGmqX9536yamqpEWT8SGb7k/Q8ZpqvIrKrZO3YNa1DKgQ4Arut67ZxlWS87pbdKYuA8QkgURZqmE5sETdPT9J5GCMkyB39KGokgCCojHYRsY5CSoy9ubpj8vibPotrSv+3x6YsePUSuXggP7PVZReFnzh2loarqaOYfMcJyCMAuqwWKclleQT2qOtr4XdfVVBUAFAXsytmkuyU+8OB1NQyFHcjoMc0MdlEIqSpmWaBpKtNwiO9jIkIIaI6bNd9Vh2klr2Bwp/coW5k0HYGN9ACAE66NG81fctHySy5CgBAAifX1bdjW+dT26A0fXZZls3Rx+EDUBtukRvpn1dX5Oh1t3bnvN68NxTLYMT+2bfjJHW/e9rEF5eGy/QcP//bVvhEDE0JknvrU6eVLFswpKPzklT3qjX46L0VRl5yx5OLTF9uO47qYpimWYRBCP//FS5767GGY+C9PdgLA7KbQJedWlZby7RHn1b3q0TRz+u99rK51AN/3nE/KwS0tsWt//MKNl9edeEI256KAgDhf/vKXf/vb37711ltr1qy56aabPvKRjyR+OzQ0dN999911110dHR1NTU033njjNAnQXsfl+77tdUTHdIxwQEBAQMA7CI0LFNoDAvwIBOipZOu2tvwL79o99P5Lp2a/r7y+a9O2IQBwCQxHnSdf6H7yhW4AuOziur8/NerF8NfHDv/1MZ98OwAQKsqd4y7gHcHOqIKRnPO1nzpif74+6TWeYZgio39At/FYJDwCRLzwZPACrREAYRGZTPizKIrxcD9PH+Q4juf5RDEdIeQbFZiIZxJtGIaiKCnRzfngOI4ajZYXsf1cLnEHIYKYQan89T5jEWOUh6cg4Ztt2zmF/kRmMrCOoqhZTUtc1x3p3VIkjglDCY8TulRtXPDNopJSL2dlDcBJAAdbWl/ptPtNqBLIKdXM/DlNWSr84EPb//6Po0///RMlJUWEkOee2/jNWzd6X33n2yfdfMubABCCfgBoky6KN4x0nU4URUKIYRiEkHR1b/rOWKbwZ2+nkx8YVxRlHxSZ2XMwEHJec17J32YAUcw4RcBXfQaAuky+0dOAIPBEdbK3B26oyyquAEAmxSRmRvVanaqqCnQCJ8Rsq6hIwRgQQrGYYxQ3jq5PMCAKyPgAHkKIODahqMFBnWVZlmW9eR5eOD8hRNM0RVEQQr5RYJZliUPdFCcQcTzalxCCgADyaRhUbIQjLnZtYLjx7gK7CIAd7MKC7CqlAIDo8Yc6uar63Aurz70w9wlEFAW8SCoa2iwAy3W7Wuc3z/EO57XNe373hv+c/UQcDN94cB/PgJkgNVsx/PPneuG53tOaClGAaJIAACAASURBVHjGIACGaYmCf/tBCHEsC2MieUdn79+f87ex7ug2jnQZD76dcZDyBw93fOzMjFOC+kecWx9oA2i764bFc5veFeNAAe9mwuHwSy+9dM455+zbt++zn/3sZz/72dmzZ7uuu2XLlkWLFu3dO9pR1tTUPPHEE8XFU2dAlExlZSUAWJaV/lDhPY+FQv5zbq6//vr0B78XX3yRYZiZSdo8YbwnBAAQBOFYn6Cg6zrLsonpCo5FHMfxhkB4nj/WBzy8W2n6sobOGN4jNE3T6e7wM4MgCJifgp7EeylIvNlZ4CDvWJSCuojCehPPRy1vbTZekXe2g+XNQo6SQMx0nbxntKFCTiGiCijM83z+541lC+tROY6b4QxDBXGsd6oex/aP3LuN39xzIP/Cz/+z6+abpkB1wpj84I5tvl8990a/IjOqliP4qHlO8HL1LkXI+KCQu9nomNp/pHPB7KSZ6RXl5U++2TJo+3esJRycXoEccLIIcPkgimKiXIgxphKsTr3nhuzqM4w5r3lp3CYmiCOEmMIMuWCPIyzsH6gon6zrLi7EygoAdF2XpBlNNEfTdGnNycORITvWITC6i5EuV+slTe6yD5RVVqc3u7lzGufOyWvLhJAnnzpqWfjcCx+44foFv7vvgGn+f/bOOz6O4u7/35mtd7d3ku7UJUtyr2DTbMCYFkoogQRIQngIENIIJJDkRxJ4khAIeZ4nhSSQQCDUQEhoKWCKIWCqwWBjY9zA3VZvp3K3d7d15vfHyqfTaa9KtoU975dffkm7s7uju9nZ2c985/Md/voc9XnaVIWHTgAwuHJB0J3vNy1M3rZtx4kl04X20TM4e+PPZGiePz6fbzMErFwZgJeUTaAXaUoLvgFr9u+8ptjfaQZrshSglAoD3WaoFgWrRNtI+xIppfF43Ov1egXR4iVLjUiSlEjwVCYIcQAACFNKgVKiDnL+UgBAtkkIicfjTh9lmibHcRhjZyMAeDyeWCyWaZUcxljTNM40Bdk79OFaphjp0eJx2euzJS8VRCrIABQQxkYCqQOY4wgvQkrvTwlBGCcSCUlK7z2oZaKCss6mwNU0bVctYbD7dy+0RPUCujI9w1jjnV3GcdO8K7enB9HPqBa3drq8OObZ4VNKf3DziiwFZs0qWdGeLeXshj251xh99+7NP7/MPHJeft0f4xBm6tSpq1evvvLKK5ctWwYAe/bsAYC+vr6+vqHEMIsXL37iiSdqa2uznWVs1NfXA4Cu6441WeoupxqBQLq/jcOVV145euP777/PcZzPt/8WaRUKpVTXh9JlO8ukDnSNiocQkkgkRFGc4Ip/TpwHIgBIknSg5M7xghBi2/ZEvgXyJClAj+PfUtB7jix7kHccLu28GqTe7NQqYKiDC1E5EcYA+a4RR4BQQQr03sIej+cASoryvrTJKUzuL+RDkCQp/5bMFzgYFkVR3gfOnOOF01o+6TI0E6DHk75+l1cpjMH1ZSoxTsYX7e3dmcQuQmDJyTXLnm/JfoaD4Ml6sDJGUfKVFmNGw4hJjkRCy6Q+X9gAmqZZiaHF0j6fz3nMF3rReDzuxAMmF4E6pmNOYKATD5inH5MTRVhoBZJ4vd4WoeA4o48tmfaGK8emQZuWVdDc+YEK2ykpLYPSMgBQKgGmLBiXF4XBcMe3rqi7/c8tAHD3vVtcy8yc5iOA41Bi28OSFSEkVa1z2p6u65kSD+4LAyxFUbI0Ocd1eizX9Xg825E/p/o8jUZKSybQvKBpZpzFPHcyPOe2tGZQKyzpxxhpqK/b1t2PM3tZaIiXqYUskwpSaphwEmfGC2PMmToWRUIpJYQaBpKHtQCEMTWHnvJ2T7upaQAQi8W8Xq9lWYZhYIyTEf3ZDcolScKSjGzLdpoTpXx/p2XblmWpkUGAQYyxx+OxLIvjOMcbHVfsnU10ugvLcOZsPF6v6Q+mKc5Fq8/Jv1TnpYLU5+z0GC5dnKv6DBktT9KJxRMdXdmeUIovhxp1xLTApj25HzE3PbLtoR+VVewfq37GJxaEUHV19dKlS9esWfP88893dHT09vbatl1WVlZVVXXmmWcuWbJkX+txVVVVHo+nt7c3Ho+nas2U0g8++AAA6urc7PIZDAaDwWAw9gtMgB5PMHaZ+8oSykMp3bGj5f6/rI/FbL/CX37p3BkzGguVopa+5C7xOLzyZvcPvzfn17/fnKmALH+C4wUOehBCGCjJLGUGeBK1ELh5+AKATvFgVC0NDK+4XLu7K8vlUp06HVVFFEXDMPKP+uQ4jud518zX+zmJh9frxRh7rURcKFDER2iL7dnaERUtDVNCAAkISjlSVRrIfz5AFPj8p80B4BMdtpMKpTTY+diX52uf/lPjpT+F3vCwW8Vpp9a/t7orGjUB4JwvLVgTPAMASiOd8URWCWlswfhFkEVfFkVxLJURBKGN8ydyPXb9ZnzW1PrsZfYzpu3+GLt0FiQs94iP7uh+TaOEEJpaXrJjMIEzrPHkQtV2QqWCBABE8gC42ErEYjFZlgVBsCzbDlWbXa1SqvqMENFifHAoXx/2+EAbkpiTonP+azWw7LFKhlP/8YPdlFJeEBSeT6ZsdQYDhmEIgoBE2RZGrgbgxaHFJZSi7haonAQwlNeGGDoWRVcrj/xB8njOTIdj5MKFgX+uiuR16fxm71at3pq9wLaOHG45jy7vAIDjZvlWfpzjAXfTA+v+9IOTP+lZXxj7AZ7nFy1atGjRogNydZ/PN2XKlE2bNn300UcLFy50+hBK6aZNm/bs2YMxnjt37gGpGIPBYDAYDAZArjgsRkF87jz3mDVRdPmcOQ596qy/XvGN5Sve6fngw7433+7+6rdeO/3sR3btai7oostecUmhk8rtD+yY3JTxTfKmG48o6HKM/YyQ4R49qQom+2jEwjTrgp+P2kYsQF4bLuD92VlGJ4qiY2aap0jqBBLmf5V9gaM+A0C5HavQ+4s4A8WcLvoSkl+XFFVUWrnAmiisbOuPx7NFNSYp1MLvk75KMUn77s0CaABQAXuW3dpy041zkrsuvGBKwC8CQGWljMuGrVczWVICAMdxWQTfcW9mHMdlCfl3PBPGcn4q+QYgxxctEmPJlKqJZmQpcO7d0HO74MU97l2KYe9vqY7juMl+iVoZV1cQj0JNw+5qMRHvC5SMvkkRQpZlRaNRjBHieL9HhpHeI0iQYG+qbhoIOas6iquq7RmxEB7bFvgCZqjOCNUZoTqzvN4srzdCdVDZwFU3ksoGu6wq7SRmdxviOEDIDNUhfykXj4Bt63u2INvkiDVG9RkAsCBOrxhTGHUaa9vyDYqXMxhAp7H8rc7sBT7cldth47OLSnOqzwDQ0mt0dPcVmkudwdjPcBx37rnnAsBtt9328ssvW5Zl2/aaNWt+/etfA8A111yzn82+GAwGg8FgMFJhAvR4cvSR7gltDMNFKPn2VTNMM327ppMvf3X5tf/vmfy1FTWeI9CSUgiE3IPCFB+/5IR5eV6IcUAICu4toVyCI0PowgbgEMri9tCXGH7n7x8YNKl7yTNr3SOUKaVO4ppEIuHxeHw+X3ZpdSIk6+B5HmOMELJtGyHkBbtB62nQe8d+ZouX1kTIpm07c5bkOI438xUrkX3wiBqTYsuSP2Mg5016dfldQwvqv/XtN9vaYwBw088XJdfYG4aRxQ2c47hMGp8TaD+ONQcAx8A3016EUKGSd6qOrPj9WyGHXikS87TGEDfxjL0yTZAM6DAtg+nFzMoDIHMIgjAtIFHbXeiklALHyxzCXsUK1oy2eKOUWpbF8zzGnBNKLPSNmN91vDsco7qxTBIghOhIGxBKKZF8zi5bHTR7O+xIPwAAxwEvuHpSyIjQIX9qRDx+W1a4RFSuqBYGe4T44FDNKYUMn0Y+nDTb3S62OAY0esWJuV0sTpmj5PnZrlzTl71Aazh31/r0ewP5XAsA/vJ8hoSbDIYbNIUxnmrVqlWf3cuqVasA4N5773V+vfzyy3t7h4c3CKHFixdfeumlhJA777zzggsu+NznPvfzn/88EomcddZZp5122hhrwmAwGAwGgzEWmAXHeDJndiPA+/mUlGXu7vsyZixc+0Hf2Z/927P/vFgQxif+aPPW6MWfb3z8qT1p2/9y36dHZ8pmTChmBmhHj8v23Sqd7Mc9cetzDfw/9tAyEdwcyEdYc+zqzbj82S+gaFa91MkOl3Q7zVSMEGIYBsdxqdnk9jMej8epQ3JdPAAoiiLaRijeS3mpWy4jRYcHItQXqH67I3JMSE5V5SzL6ugJD0RVQEjxytG4Rr35GobWkhhAwV7VExMBRqx5RwClqHPlXeJ3Hpi2eq9axFfXA4AnPiBYekzPtkbeMIxMDjBpGQvHBYxxlgjHpDFCEfh8vvU0x1fcYPbPn9aU5wlNy1q7ddf6xJCi7UHWNEk7fEq9d98kL5JE9ydRpQfWZ5jZKfWOZ/Bs/iCEhIEuK+Tic4oQQpZB8NCwxyyrlq3W0VHthBA7ECTxGAUw3c6TesriKkkI4S1zWIN2nsK2CbwAAAJQ8PoIL/ID3cg2M9UB8wIiFgBYLdv4SdMBY1sppZSQRMz2B6koc2q/Fek3TdPn81mBEOUEcK5ICE6oxKNArqmO8upygGxJ/ArlmU3ahceWLl09aGYOkL/k1Gl5ns31dpwzsySRsHc1F2aV86dvz776zo+yl3nnY/WgWarC2HdQSru6uh5//PGXXnqpra0NAKqrq08//fRLLrmktra2uPE2pXT09KezxXVa9MILL1y4cOGLL774xhtvEEKOPfbYT3/609OmTWOjfQaDwWAwGAcWJkCPJ4FAXgtyK8qlmmrPhk3Z4m5U1frGNc88+OcLc44Xa6vl9s7csZYvr+jleWRZI97YLrrkOQA475xJV3/zeEVh6/ImIqUewdVjg8PINM1endumUgRwSjX8y827JTVBZV9MB3BRhY4JQT4ri52mmEgkMiWFczBN0+v1poq/+xOEkGmaPM+nvZVRQBVan2YYYBg1xCSU9npCJlekmkAw/16fOYOPVpWHAGDDrpYBbwiwH0r8ADAAAPkHDlLSWJO+uP4TSiKRcI1+F8C456ub75579P2PtPr9giN7aZ4A9ObIj5oJQRA4jhv3CGie53Vdxxi7ykxO0yooCNq5ZURRbKWeLFolouQI2ahrbMrztDtaO17topAST52g/AZN2bB5YJLQefrchnG3FM+07qE7syFNQDlguW2bGhq2qZbro5MKEvUofF+HFawBjseCCG4CNBroET2KoQQRpYAQtW3k9pHaoqwotFBbcIyx16eY/HAbEwa7Lcvio32m6AEAXo9RSk1NE2Q5ywDAUsqwFqOCLFPqTAlS0wBewAiw2mfbdjJhpqqqKBYTRREqJ/FqnxWo4DSVS0TMsmpwy8eYhFNKSj14IOHe5mdV8R93FRxe/eo2vbrKU4LtwQQZiNlRbcTJD5skV5QH8zwVQi4a9OYt6e7eoYDAIegezPaMe2lNr+vZGIz8IYS8/vrrd95559NPP506W7lhw4aXX375hz/84VlnnXXdddeddtpphXbRixYtWrp0af7lOY5ramq66qqrrrrqqoIuxGAwGAwGg7FPmXBLfT/RYIy/cEFj9jJLFleYJsmuPjts2x59Z+WmnMUuPr8hn7rJMpemPidZ+nzLp897YuW7bHnpRKRpkns6slW98Ew7vzOG5pZQAOqqPqdhZQg6q/FAPua2TsAppVTX9ezmp/gAeQgIgqAoiiAIpmmmvuDJskzJkBxDKU0kErqmVSTCtWpHyBjEtCgrYYS22p6Wzq7Vzd0D3lDRdZ4M8YMmA6GWcNcjnWb3rWPfv+93s3/ykwVDGxGWJCmfiMK0uGNnXUgiw7XGiCRJsixblqWNIpFIYIwLMtBMJrXrx+luD0kQJSdXiHXV+U5CbG1ue7ULMsXetpjy4x92ZFmjUDSBQiZrRAxF+yOPD10ZO0RsJKhlOlqj5Qm4tsB4PB4PdwvxCCBkxyKu6jO1rUR/L2DOU2DUudenmKEaSJ6TUmLoiURCVVVhoEvoa49Go6qqiqLoOG8gw71zpoJkq4OEFzTBSwkhCdXobAZKNG8pANi2nXrjOGZKWE/YngAgZAZrKC8YrTuya66U2JGRAjFGcPYc2ScCAGRXn4+ZnHEGQtVpWwKrwPM+qSzkmdWkLJzlXzIvcMrhJV8+tQEAOrp67l669kcPvfftP7/7v4+/v2rTLteJnyMPK81SgU8tGbJEC0fM7OozADyzsucPV81wfq4I8A3l7s2deUAzsvDmm2+efvrp//73vzOtlVm2bNlZZ51VkJTMYDAYDAaDcTDBBOhx5htfOz7L3mu+OX3FOz2DkXzfYX70k9U5y5y8ZHY+pzpsVo6YzB/898q33t6cV7UY+5HsYm7Chpc7Ec0cXRmShw/PpDSoebRHj8eTFKkppZqmZfGHOSDLPHmel2WZUhqNRg3DQAiJosjzvJM+cfTHqGmabdteW69OFG8PvRv5Nal4oa3KGKivriz68IlGpu+d7n3QHCm/FgwNC7gGL+fjGJ72Mi9J0r6QgXietyzLsqx4PD7aHdjBMIxEIpG/tEoI4TgubKEKM5Lp30khQfHlGyzcEw6/0ZPjqR2n3LMb2/I8Yf7MrShgvdTk0gM8tJg2ZXKmXZY/SCnFCRUAwOPLMgWCKAEAWVfFcBuMym0oDnRxSqkZrClovk3x+81gzcj5A5o0k1EHB9RoFAB8Ph8JhJxiXCIKxOb7OrhIL1AKlCT7cp7nxcFuRAnYFvYoQkUd7W1HCBkllbS0wucf8dDnOI4KIhVlEosIfe2IUk+wAoDykV7ctUfoa4doer5WI9ydXEMjOe4dFJZv1WIGfGVRjkZ7xpxA0Iu9Qu5nQVfU3tZjbeww17UZ//dcy/UPvvffT25ftUfvVknMoNt6zLtf7bz6z++1dXSlHfipJdk6zyXHlee8dCrfuXur80NPxGrudV9dsfbD3DEBjEOTN95444wzziCEzJw586677tqwYcPg4KDjIhWJRDZv3nzvvfcuWLCAUvrFL37xxRdfPND1ZTAYDAaDwTgAMAuO8aS5ta2hvu7HP1rwP79aN3rvN7827U/3ZvR9zsQry9ed9qkFWQooijdUJoZdDYBTCPpzf9c3/vS9Zc80+P0HNHKNMYom2dytFWmoOqdueDmzlSED4XYVZksAWV1uOY5LjUGzLEtRlEw6YKG52sYFy7JS09kZhuFISwghXdddq2qapmmahQYwjhc1Wu+0xryWL3xSkDN8khhS2gMZNm6Oe0vEiEt0p6IolFLH91mSpNTwfFmWR/tBjwuyLOfjpUApVVXVaTM5o7AVRVnfmghH9W+ev9BVnXck73yq19XT+3KLnqB5aZ29ttjW1VNX5Z4UtzgWTwutbEtXADPxxYWTxvHSRYAQsrrb+Eo392TMkfJ6MHUgNsKcLflQLObe71GCE1FiWfF43IewFaxJ3WmG6vi91yqkZjg9o+BIK3OEkE9RzGAtIGSKHtLfI5k6TcQRsbFJcF87AiCCbAVCAGAGaxDG3F5He1GPIoysgR5a3Yh4waYUx9Rkb8xxHKf2m/4Q9gVM2cvFBsAycTwa6+sFAEgkJEnnTS31z3xpzfA3rlsjfnjoveHb8MazaxDAP9f0x3WzZWDoz/mf50fkb8yfcMzl8aFb8JN/7Lzlc3ZDfW1y45LFc35919ZM5xlIFGOowWFkk4wHIszGzAx37r//ftM0jzvuuFdffTVtClMQhNmzZ8+ePfvyyy8/55xzXnnllXvuuefMM89kjswMBoPBYDAONVgE9HgSi0YA4OxPH3HuWSNsEzwyN29Oyb0PbC/inLf+cl32zFcIobt+fUrO82zbkTEBXSpXfO3ZsSfsZowvp0wvLJIriYxJWelw6jMjgwA9vwwAQBTFTIGfiqKM1uZM01QUxev1Knvx+/3Orn3hAFAouq6rqqqqKqU0e8Asz/OV5qAn1l8d6xLJPl5hTSlv6RWDbSdUeg4y9RkAMrWfEWUgmvIbshFODSBVFMXn8wEAIcRpVKIopvZIgiDs0w7K5/P5/f6cukAikcgZCo0Q2tGj/2vtwBvbEjc+8PboalNK87xTdjW3Lm0281SfHV5r08b3gyrxK/NCeSXd8wlQEvCP46WLY3pDXcZPgOMQAmGgGwCoIGYKYU7E41w8ArJXURREbKCUUgrOvxQK+pQRJdS27egA3as789GwnpKKk1JqGgayDAAAjFGw0iyvRz6/WV5vhOqchISO+gwAiOMhJZ+qVVJpBmu1vd0d9fq9/oDi9/v9fkXxC4Kg24Q6TY7jbU8A26YeTpGYdT0WGRR6W8VwG05EgdIN7blt1n0iisS03b2Jzy1QygMjFjRccXxwfBW2W57ek+r87vN6BD7jBZa+l9vobDRZ1GcACAXzd/dnHFqsXLmytLT0oYceyvIcFEXxwQcfrKmpWbNmzQGZp2cwGAwGg8E4sDABejzZ0zP0GnnjD0//4+8WOz8fMb+MF9Cmj9IT46RSXeXlOff3KNum7+RyZ66qDF158ZQsBTwebvWavuwncejq0VJfhhkTgdKSEi9XzLvK0RUjrEs1273Ys61giYokSWm6G0LIkZhdI0MdhTcej6t7iUajXq9XkqSJIEAnyVkZy7I8xCzHJjENf39bg9bjM1QPMYBSjtoiMTHN8MEVjkePHldXNmvG9IM19EmHHBbJBhqxcj/qr0xzVY7FYqqqOpa4DuNfSzcQQjzPI4QIIamh9FlQVdVp8KN3eb3ejhj/15VDve6efutrf3hTH5k1Mc+etjvc90pPwS7hCcqPY5LGlrbui360/Mmnd296a/cJpXpV1i/52hPd4o73OxzH0f7uTHup5CWizMUjVPZ5fO4TCYIgqNGoNtCHEFJVVehrRwD8YA/f22p17iH6UPx7QUIS4QTEcZy/1Ln/kanZ+lCAP0LI7/djjHVd5yPh5Ma0MxihkR8vpWDbYBlgW0BswFiaNA0AiBZHlgm2RQUpHo8TYquq6kEU2ZZzlDDYrarq6Mo7PXmiq00It918Xm1NSY7FNzGD3vVG/8ubI798qfeD5uHcs0umSE3l8k/Pqb7i+HIA+N5plQCQYZiTL4TCwy8PG4UhhO657aRMhcP5eEtlwCe7j43Ly7K5TjMOZZqbm0tKSqZMyTYUB4Da2trKysr29nYW6sFgMBgMBuMQhAnQ40l9cPhV7cgjZvznuS9+7StT163vV9UcEhjmQJa5mTNKXPfe92Bu28Evf+nYz38mY0BlY10BJgPPveDiH8I4gCCELp5bRJo7Or9xRGYznWR8+1/eOZSlKrnF5/NJkuRIzAVdlRAyod6scuZX5Hle1/VYLGZZlmOwIEd7lcHO2lhneaQjMNBeGe2s0fsLjHR0JyEHDu64p3b/p7MXsGm6ljoYqE6GEo/+cPZbW3J8eFVVdUL78zwqHo87djRp2zHGj747Ys4vbtBv/WnlYGRI2s5THSaELNtd2A2Y5MPteWQmzYN4PPGNX65Kfg33Ptvx2ku7+ze3H6kYU0sAj+xUzpsulIfKxuW6Y6cumE0utL0BLhEFALOs2tWHx+k6CCG2bSslpQjA7NyDLMOyLL4khKW9h3gUJVDi9/uVklLfXjvv5HKQVBRFsQLlAACUOkkIKULJeQhfoMQI1TkpSRPxGAxm8Ka3LZxQudggUAqEiH3ttGsP6WqB7hbU3SL0tjr21lj2UlMDQPH+sG3buq4jhOLxuKRFAAB3N+ec2iGEqKr6leNKfnZebV1ZRhn6xKkSAPSo6XfuWzv1m5e2L1vflzDtW86vwxiX+bgjGoY/55C3mPHnOzsTqXOKUybXLl7o8nDkeWSNYd4wprn30oqSr10741DDmT3i+RwmLRhjjPEBztHKYDAYDAaDcYBgAvR4QtCIoafP533w4R35HNjeHldjVkuru7dppu1pXP21E357y6LREuPs6X6/VMAXffudH+VfmLF/KC0JnFpTWPDYLD9Ji82sl8yZXmOmR5/h1Wd69Zmevf97tDmKCSnBwrIsE0JySreuYIw/WRprIpFIUwMppbZta5pmmiYhxDAMPTrQoPUKZBwiu/Xxi0udgNQ0zLQgW8gk8oxScBCK+CsdBVDTtOxv5rY9btHoaSTtmJ0Mlvkf6FqlPWGX6OaESb9935qunl7btvO8R3a0dRlQcPizwwZtHMQySun3frti9PaOsPHosvZnn9u98c3dclfvUSXG3CB8qpE/ccGMsV90vPD5vCSa2YcBc4QTgBBACHt8jvLrCqXULK00QnV85STLV4JLy43IcL4+4g+awRojVGeWVTtRzIqimP5yxe93bGRST4VMDQCSNtCIUIzxUHuzLS4aTvoFEdOgtkuHww/2aN1t8Z4Oob9D7O+ge/OvchwnCIKqqlx873Irj98sr3M0ca/X63RrlmUJ4bZ85j8cZxLDMGKqetnCwE2fqf3WSeU8hkr/iOHEmzuyBfKvbjaeWN3/woaBgIcLevmdvebiyUNPJb7Idg3t3SOmdm797zNOWJjuUnXembWQgSnV0iM3Liru0jnlRcYhy/z58zVN6+9Pz+SZhqqqsVhs9uzZBSUvZTAYDAaDwTg4YIPp8SRYmu4PmCl6TxCQadK0LfG4VVEu9fSmv87pOqGU5qOJHLlg6iv/nrxrd+faD1sSml1aIp54/IyenoGvfHN5AX8GY0KyYFoDkN2vduUljXFAz5iXHhHfS6Q+y+WW93BwaqmZGmrK83wR1gder9e27Sw6zsQkT8MQVVWrvEQVfAPCmGKXTMs6MEkP9wsI4d6qS6u7HspUwJZdPj2KOctb4sMYIZTl65BlOWfev6JJdrCKouRpwZFE13Wv15tcK+Dz+W57tdO1pEXgxr9tvOubi/LUuNf1Wtkf0wIQM8NEMsnLsTkHmz7a1tydwypk7VZ17VYVAH76lZkTzVum2itkRVOGggAAIABJREFUtOEAsEorh34IlHtsWx10F484nicIAwDiOOrxUwDR425ybflDdG9ktJNIkI/0AqgIIZ/PhxACTgCA5AOdCpJQ3Yj6OpyGTQSJ53nLsjDGnFJiE4JG9aZWWZWP2LZtU0BmqFYMt2GON8qqASEbIR/fQ/QEWCbww/NACCELkCzLmqblfwelfpVOvlYfB/99Tu3rWyIJIxbVC1ia8N7O2Ob2xPVn1vzf8+2rmodu8K5okfOUG/f0NdRWptbz1h+fsWnznv+7Y01b59Ck6eQGL2x3mUCdM8nzy2tOwBj/vwsafvuv8VkiwGAAwKmnnvr6668//fTTV1xxRSZxmVL6n//8Z/v27d///vcnWlfJYDAY+xBqgp23wyfmYfTo5xDGIpTkvR4UI8TjfJ8vCCD/whkySY0PPEYCn++8LHuAftJhAvR4MnVKU6qtZ5YYtzT1OblltPrsoOt6Pgm+AABjPHVK7dQpw+E/F3/5mUyF//i747/z/XdGbzcMQxTFfC7H2J8smNE0uSryyMY+M7OZhsNXFoRGx2pFbPfH+WmVxLLI2IVjXddFMWNGr4OAeDyueCGHAE3pUHgjJan5wZLgg/2pWVZRuytyzuTE8+67JXf5XZP9kp7N8VmWZZ7ni4vKzwfbtjHGoigW6jkDAE6kfFKD7o9nC9O+6YKpeY6cLMseIDme0ZnU5/HiR3/emn/hu/+14/gjp++7yhRBIBAIN7faoZosZRw52Cyt9FlGLOay3ojmfc/S1ObtSMycoCiK7SsxZUXsa6e8AKlDZ4SoIPJO38vxVFZEjxdpCdM0hUiY5zhHxR5xDYSdVIQ2ABplCW2VVAAldlwFLc4pQ6ZePp/PDNWScKfC84ZhjMUcPB5TF9bjE2dU/89zHfkr0AjAI8DOHu2Gs2tuXtp+9cnlf3o9g8FIHvRFXDqBuXMa/3pPg5MnEmOEEDp8XufND2/qHhzSuxsqxB9ePLOxvsb58E9eNGvj7shLawc8IvLJnE/GPgn7ZC7g5d7eHNVGjtDqgsIFx5Vp6sG8eIUxRr773e9+8MEH11xzzcaNG3/xi1+k5TYAANM0b7311t/+9renn376T37yE/b+zGAwDiFallGStwBdexoqnbkva/MJY23bwI6+fN9Npod8R9fnna+CAsqae3kE+3J5M0eokL/p4kSy+mQUAROgxxPbthMJzeMZUorzHF8iBKUlYv+AcerJta++3u5axjDMPAXo0aixjBGFruozAEQi0fLyIkyHXaCUOq/3bLQ9LpSUBL6zOBCPx1ds69gc4UYHOZby9qVH1Y+eP6CUWm5zlyUCjcdjTgY2RVFUVUUIFRpnKsuyIAiWZdm2fXB/0fF4vAH3tEjlGTWpYWnJXRnk9otAn+eaiX1E7dQFu9tDk/r+zsGIzsfO7CaBB3umvvfznYt+GlVjCCFJkjRNc0RnZ1bPsefed3W2bdsxKyhO43Y8W7xer2maD67ImPH1/51ZXV1Zkec5P/h4B4B7pG0SCdll2DQpChOXXIhjpK+/vyA3nd5BawKugZjcUL+1qw8r7ikWIPmkRsgurfSQztG9HxVzpNbMgu0rsX0lAGB0NtNyFx8lutfChWIeAEhJuR3bzXEcxhgBpKvPe2sM4BLfTkwTCwIgzPkCZl8XByUAYJbXAyE4NgihahNADLc56wxyutlkmUHX4rGfnVf782fbOYxMO/01AI3yy//ZebWmafK8YJpmyMf96fXeYxrE1c059NyQF4fjw3UIyOjCI/3vdGPqde/Z0oYZDfXVD/64OtPJEUILJ3sf+9NG173BMvHaa2dv2TL42OO7AaAPYMMLuzCGL16YMech45CCUvrkk0+mpSg4++yz33nnnd///vd33XXXl770paOPPrqsrAwABgYG1q1b9+ijj2qaFgwGzz///GXLln3hC184iGfrGQwGYwTGAFh5Ly6091WsySeUmGH3xfPNqxzzF+BVSCiN6/mW36dZeTTdUvP+G/OPB2dMTJgAPZ5wHHfWuY898tDZDQ1VkFmA/q+Lp//t8W3JXymF/gEDADKpzwDg9xe56r+4Fesk/9mwzHR2hZ/6x4ePP7nL6SUWLSy/8or58+Y2HtwC5f7B6/WeMX/qGQCd3T2apsUs6NPsai9XUxFUfO7Grwg5skD6h+/hACFk27aj7imKQil1DQN0heM4WZZjsVhSthtLeN0nAlVV6wjpl0piXDFzQoKQzSJ5jGia/tzz6/722Paubs3j4T57XsMXLppfVTU+k0kFUVM7yar9UXPrHkVdK9l9OhfSSo+uqKrDbd1EGZWkjtgz1/0BAOrW37Nt+hWSJGGMHcsCVVUFQRAEoYjA5IJACGmalqcfiyuEEF3XAQuXHV9qI5dnq0iMeTOa8jwbpXSdnkl9Hr6RKeBpAe7t/n3yKP/939YXesgEFKABYEZVcHss9wibChINVnv7u9Ib23joRIjjEJ9+71NC7N4Oi1oAQJ3Pzbad9l/EJXDKqhcsysOrMTAmviH93Yme5m3LM9ijxWNZGnx2m3JVVW/6TN2mNvWpNYNpu3gOPjPX86/1Q2MPHgNCyDCMd3ZpS6b7wzEbABz1GQGUK9hJYCjyyLAoAHAYgl4sC8gv4aAPVwb42qD4fhhrNnqxDQBAjI/Pi8eNP12TaVdfv3HzLR+mbTxywQHoSBkTE0rpJZdckukeMQzj4Ycffvjhh0fv6uvru/rqqwHgoosuYgI0g8FgMBiMQw0mQI8nCKHJk5WLL33uD78/8eijMq5ETlWf86GyUi5atI1Gi4kZLB1lZl0ov/z1f5Y+15K65b1Vve+tWj5lsnLv3ed5vQexC+5+Jf9oSgAIcHbETr/lOzV0TJlXVYfmpTVNy/+lyFEG81erDxri8bhimiFJAoQoQD/nU/m8mrRgJni++GjK7KxateW71w/ni0sk7Mee2PXYE7tOPaX6lpvO4rgD8K5bW98I0AgAEoDTp8ypq9wYjgGfEqFP6aR1D3v0XgCQEj3OyuVUF2bbtpOZ2fYpY58bwxjHgjWheG+PUjV6b2kinP+ptu3cBeDeqFIjTA2KVvTvkykNQsiarYV5YQOApk9Q+yba3YIqJ+UuJ0h2sNqHupLdGkKIQoq1ToHY0QHOXwoAQvmQL5Y10Mv5y4DYSBARQjwGLaaJomiLXgCgkoeTZIoQtkzCi0BswHkL+ik15JQSYuhYzBAXz/FmsIb3G3I0rCfirvdXHqEu1FGfj2rwrmkeluwtG/61PnHL+XU/e6ZNkfD3T69UVVUH+bWPu177eLhFffuUyjtf63bUZwBw1OdyH66rD3RryAJYPMl+roVTLdg50sa730DLP9x5eH1pRSiYq4YZCYf7Na2wjKYnHO9yUzMOWQKBwCcr3zKDwWAwGAzGAYcJ0OPMmafXbdkaufZ7bz7+t0DDpKorLp3yl0d3jvGcM6cXLwcHAu4xdBhDlpHzGBWEr37jHx99nB4V5bBzl3rmOY89+++Lxq5xMwqlXrY3x1xu+X4TkgpWQRGg+yEudcLiZOVyfg4qNE8BuoorPsA2Oy+9tPaW//nAdderr3Vu3frEE3+/eCIsPsAITfdx27RhOc+/852K3tUAYHGeNQtv9iHbO9Inbv+85BNCZFkeo9ItSVIU4UzVLWjibX0049NZQVaU5hadUboRQmE0t7ZnUiBv+FL902+HP252WV6T0IwMz5wDzNSmxh2qhTLPronhtiE/ZV6kSimnaQBAKeU4jkheM9zJB6uyHO4KpdRRnwGG1WG+tBwAiGWQWJTz+QUEOgDGmO7NA4NsCzkR7rbF9bbZlQ3UNNGolRNEiwHmM0rMjnRuGlKkZ+jv0mJ0oAdVNw1XTxDNYA0fj3CRvjTnGYRQzvuOUDiszrOhLXHu/NLOQX3BJG+ZIgo82tyWqC/jAeCaUypCiqAl4jzPh0dFoCtyurA+r0aIeZTuvRUZMNz7K5vC8j3G8j3dFXLXFQtry0ozmqtkIRweKPSQadMqcxdiHBpgjPv73XOWMhgMBoPBYDAywdZ/jTNHHdXk/PBflz1PKP38RUeN/Zzf+86ioo/N5Bw9c0ZGf/olxxcQVDuaR/76Tib12cG26bmf/QeLHNn/zK52f1G3SJG+EBNwrf0BQVVVJQ/DMkTsxqox3VyZ2LmrJZP67NDaFv/pTS/si0sXgcfjqTAjzs+4a/f0HY8CwEDJrFUn/NKSFUpsSqksy16v1+PxeDweWZYlSRJF0Ym433cVG3t7tjihNB4Ou4U/A4DXU4AAHR21WCFJjKbuyqgyU8itIWbhry/syrTrl4+17uxwb/B+3wRd3YIRqqTZbtLUbH62x+/xeiVJkiRJlmVKKYmriLgFzFJqtI2YY+YHe8AemmfKMuGDJQ/n8wOAGar1lYWgvA7t/bLMUJ1RWmnzghWssSomQSTseiIkebOoz5RSs7dDGOxOtg8xNiC53T7EGxh9W+UjQMdj6lmzpR+fU3Pbfzq7ovbCqYFplVKFbJ04hZ9SBtFo1IP0eEyVZM9dbw48uCI966DI0a8uKU/+evFRSlj0pQYlr+jKMUDt0dBv3+wI9xWjA772eqvr9qamjHZnhx3WVMSFGAwGg8FgMBgMhgMToMeZxoahGBnbpsuXry0JKAuPHpNvoF/hKyvLc5dzI9zX/7W73j36krmT6tNX/X/0ccbwn1tuOqO4ywGAbdt/vv+jnMUIoZdf+VTRV2EUh0d0F++8fJGJBcZimHuQEbBzma1TOhXH94XnI6X0mmtfy1ns1Tc6t27dPe5XL46aygoxGsb9nQs+/BUAtNSetumIa3zh3Ys3/cQ7sAUALMuKx+OJRCKRSGiapuu6YRhO1LmiFGmIn5MxtmeEEKVUoBnX9afeZZTSlvaOdzdvX7pu19ubdny8fWfaXtezIKAc0JGpR7NFtW/f3Zx//dP4uNndWsexcjFM9x6D5yfusqqSgJ/0d+cuBwAAZqjOrmwwlVJLVkjnHsXr4fs7hd5WlFBHZN9GSKybknqgVVIBHJ/cm/0q1NABYaukghoasoebH+J4K1ABAAghDgE1XYz1sy9oQAiJNY1WsNYxfUZ63DTNTIkHbSF92gBjnDNLITi+54nY1Sf4rz+z5mfPtN28tN0CwefzOY3Z5/NFbenW5zoiCZdTYYxrA1xAxgDwjRP8b/QK2RuzewUA7nyns4iJlndXdbpu371bBYBQyGURmCyPf55PBoPBYDAYDAbj0GHivit+QvGlxH/97OfrTjl5wS0//dTZn30yk7533tn14T6tpTWu6XY0aiVGmRL+5n+LDH+ORtUf/n0LBYhoxLOw8fpLhd//ZoM9KmF9GouPq0j137BtmxDCcVyewtnmzc15Kpk7dqpPPvXuFz5/bF6lGeOBLEkALqaur3bj4wMopChOHsL8YRHQSXiSVbuktErvr2ms3xeX3rmrdXAwL+OIH9yw4pl/Ne2LOhTBrEk11jM/tLC0ZdbXq2Jrj9h258eVF70951ZAqCrWeUDmNsYonjrqMwGUyS9YjcU8Hg8AbN7Z8nY/B4AAfADQZQNo8NbaTh+yDi+hjVXBpdsGKLjcXBRQQba1/Xnnth5NzM0hFwHYWbW+Cb60pakytMeg+XrRUCoihOORhGUN942qKssyragfVpkJEfs7jLLqLGbNlBBX+w60N4QZE5vKPrO7TagcCsROVtL2h/J5+lJKEYySvPdelItHsSBkaj/E5xfVgdT8sbIs5/84oJSK3NCD/3ev9ADAlAopotm90UiWo/6wvOsbi0u+f0b16rb4cy3FuwPpBG3e1T59UuW21u7wQFSSxNmTKgN+JZdAn+2c4XC64u/xcILABswMBoPBYDAYDEbxsPH0OMNxXGODb8/e2LHrvrf0rj9+7vbfLLnu+rfSSkoSvuD8SX/7+4hlzp+/sHFg0Gjv0BAGjAAhNG/ejPyvHu7rf/H95q3dBkIQN0ZIwUu3mqdeMTe8tn3tB31ZziCK+MG/rDju2AafT7zjztXvrR5aNnvCcRXf/PpRk5tqslfgqX/mDn9OcvsfNyUS9uWXLc7/EMZYkGXZg+0EcVFJ3ol4IAKfqSlAg1YKF6wPYkzTBMldduRsswknaveN+gwAf7hzTZ4le3r1zs6e6up9YgNSBO0zvzip5xmRqtsmXUiEYbOgiFQi6XomDdpVV0IIYYwRQmNRruPxuMfjSSRyBbNnJhGP80oAgLrGcsbiiXJKX9u0Z4fuHkoZo/zKAVg5EAU39bkI4naREfeUUt0txjnn9GL/QLSmeuIGioqiyIe77UC+y5K4RJRQyvN8arvSNM0/0EV4AQglHoWLDUSjUVHXRVEk3gDBHLZNRCmlxPaHAIAf6LZkBSRPav9ALQvxvNXbyZdXA4AlSPZg2BGpM6nVWSCmjoXhj11v3SHVT00tgIhl27Zd5m4OQzEvSVKqAJ0/Xq93V9g0oyOO3dmjZyqfpD9mS5IMAB6B++YC+dFNCTVDWH1OHt+kkk3OwwgBmEt3tJWI9OuLaoJlGa3G6mqVj7dk08fTOGlJdXF1YzAYDAaDwWAwGA5MgB5/Fh5TkRSgP/iw78mnVn3h8wt/+Qvzhp+8myxz3KLQtq2RNPUZAJ765560LXv2tDU21kEuKKX3Pv/he7uzeVzu6bdhctV1p9Xd8ZsNmcq89kbXa9D14CPb0ravWNmzYuWLc+eU3HHbOVkWovb15X7tTOXP939smORrV54wEdKjHQrM9MM6d4NuBACv9uATy+S0bFSZKE6tOFgxTdNDjATncmscVxNAqJg0WXmy+aNslutpvP3OngsvmCgCNPGUr5p542jVPsF7/KKYSUoe3T4xxqIoWpYly7KmaZTSfNwDRmPbtmVZGOOiw3ht2/bYJiB39RAhtGprcyb1OR/KsNFPXMwBJvGJFsvFfJkrtltFCIkCyuSzAQBfPrP+ry+5uOhG1ESOWcoDTUNlaGc8P4UXIb2sBmEsRvvsvp5Uj5RodGgpCYoMONsNwzAMA1TV7/dbloU5jlAQ9FbdV2Z5/Ea4S6xtSh5OiW12twhVkxz1GQAwQiKHzUCIGHoWZ+fRiOE2I1ibqj4DpYosQbjNTHG1NkN1dlzlhGxnFgShuCScj64MF6EcHztZfq1Zr1Pw2x1kRoh8cZb8wIYi535G366DBrrtrc7vHW9XlLtPNsyYXrr8tXbXXa4pmufMHpOXGuMQgVJKKbUsK+dDRJIkNu5lMBgMBoNxqME8oMefExY3pf56+x83vL9m6wnHz176j88JAgaAb3512jvv9HTnESIEAJdc9mJveDjHDqU0qqot7V3xeDy12N3PrsuuPidZtsM64bK5JywuJp/7ps2DZ53/WCwWz1QgFi84/PChh7e++ebGIirDKIL5k7K9RccsNEjySvLm8/mKkyoOYlDu8NDxx7btWKyAm+71N9xTbx0QGhsaMu7jMk6Omqbp8/lStzi6s2VZsVjMee33etNd7/PENM2ijwUAjLEq+rFrtjoA27bXqy7ycf64qs8A4Ko+A0A5V/xNWlGSrSuYWuv+KdXXFpmxYL/BcRzf35VnYUentj2KtzSoKMropL6u7vmkcpIZqoOSkFlejz0+kDxJ9ZnaltnTbna3irWTUWojF2WzpAKIbXY10wztBwCAEC7aD5QK/V2OSqoHKgCh5CF2f48QbkMImcHa9D/c626ezg90cT0t4CzjGL5OunzmeK/Lspzmx6Vp2iWLyjJWODPNxBOO26+3WifUCQ9t1Nb3mJdMtU+rJRfOGLcI+rvezWj5PX9+xnm41D/9iAVB54eTT5o+XrViHKwYhnHHHXecffbZM2fOLC0t9WSluFlSBoPBYDAYjE80TIAef6ZPS9d2r/3eW9GoGgyWvvriZV+/Ytrdf96af8o3SuHLlz/r/PzG+x99/U/vXfeXjT/7165vP7j+63e9+8LbGwFgMBJ9v7mA0ONulXRXhW68aUH+hyQxTfrp857IlLOuqtJdBzlsbsaVsABw409X6ToLp90f+BXlqJJsmtSqMMpHgIvFYmkiIIMeiGimTGHCX7tytuv2SHQCTRsghATNxZQcACKCP4vDuBOnDACSJGGMk4oYpZQQYtt2cUk1kycp+lgAUMxYadzd5mhV//5+4DZOyr16JhPVwWw64M0PbXXdLgp5zWAdWCY31BOzkMU6vGiVVJjl9bRyki9QqgRKxFCVryykKMpo3/BoNGq17iDtO7WOZm6wd9S5kFBRK1Y3jr4IQgjxojRpOtrrJW2rIxY34Gif2N/BGXFkGWZphePvjAQRAMS+TujvBgCutBwALF9ZzvyHQxe1LTMei8fjac1+dMei67rH63thw6AoexVFSd6ehJCpFVKZrzDTmNPmlxCAPgMBwIwg/9XDPZ0x8vcd3CvtuMLLfeWwoYHEGG8Yg6A3N+x03VUe8uc8HCH4YN3QvVxSmrs841BmcHDw3HPP/d73vvfSSy/t3r1b1wtbDshgMBgMBoNxKMAsOMaf8nKXaKAf/fd/7vrD5xBCZWXpIVQ5GYyYjz3x7nab39U34p3QpvCPD9R/fPDupLJiDEP/uVE/5r/m9L3bvGNHYU6+lMLV1z599x8/N3rX0UdVv7nCJbhsw6aB7Oe8+NKn/v3UfxVUDUZxHDd78rp3W2w3j1oAsAB9GOHneIpci33IghCyD8R8XiaV9v4H3d3YC7SW3ec0+YVtbhK6xssBSUpb55FE13Vn/iMWiyGExsuLHCHkBHhyHFdceBohJC544pKLVoV7O/yIRvfrM5eOZZboa+dNXXPbuoIOkSXM85+MxKQzSr1bBxJYKDAgHXNWsBoAEIDTbHlDk6NhSoiu687MB0IIIWSaJkIImxrubQUAI1Qn9nea/hBCSAx3UkptXwk2NMtXApyAEyqnxcyySkDYmQCR+topAA/I0uMiEAAYSFgcJYNx0zDMskjMU1UrJQZ1WTF7u6TGGWZZNbVMBCD2tVtKKZHzjeLnB7pUw/D7/RRA8fsBQI1GOY5z+n9BEGRZ1nVdEISdPfpf3+0AgLUt7QCwoMF7xgzRCZSOx+PXnlp5y7MdAIAREAoAIHBgEXCdzZkc5DYNjOiJOIBzpsrPbk+0qfTeD+NfO9xz1QLvQ+tjGCGTgDWGKaG3WvTj59j8qH6ytraK41D2tMzJygsC9itswpWRjV/96lcvv/wyACxcuPC73/1uQ0NDakLv0bAczgwGg8FgMA5BmAA9/vA8X1khd/eMMMRY92F/IqF5vZ6ZM6oB1o8+6s47Tvj2dSsynXPF2x2JGRmtNVv6i1zKN5ig3PxJ3zjZvPeB7QUduGHTwLoPty+YPy1t+8knTf3dHR8WUZOuLm3Tph1z507NXZQxZq6YX/HQhz0kgwbdmkDzAhLkEqBVVWV5CJOIomhgt9jPsYXT5oTneVfH0kx4PBOrzw+WlUGPu3dQ9vfzWGzIZ981YBkXKLQ7vr2maToZCBVFsSwrTzP0VDIq15T85pnWKeVC4+GZXUfGjIxsCREvtkMi5TDofMGTnak0TKrFaB0ppP1+6/zGieNqmtC0zbs6O8IqBTq3saK+KpimB00LSDu7+8BfjH1EEirKjtUyB8CbOjJ0KohWpF9BhNg2FSQwNIyxEOmNRSMKJZqmUUlCCOk9HV6vVxzsoZQ6vajH1HmeJ4QghJz4ZYSxQGwiSLppc2D5ZN4rcQAyxvilldtP/dQCDCD5SgAAOA5xHAAYwdo8Y58dbG/AK3ktQSLiUI5EhbZSSp37yzRNQogoihjj1vCI2aB1zfHPHOZPZuwkhHgElDCp02C+dKT3tW36t06t/tkzbaMvuqvPnlpG49ZQPR/ckLh8noej9DPTPPesixMK936YuPIwj07Ql2bLcZM+s734YNKYhW56fluJQK9cWF0RGvFdX37p1AcfzjHyueob0++5d9sJxxdjWcY4pHjxxRcFQfjNb35z7bXXTpxukMFgMBgMBmNCMbHEiIOGGTMC3aNUlX/88/3Lvrykqck9DX0W9RkAeH58hrPHNIirm9PNLhoai1lb+v9uePuVF6amjbPLy8u8Xi4ed5FgrrhspsfDHTG/4htXv+F6wu98981XXppcqHLEKAKPR/7K/Ip/b+rss9x7gBe7uLMqcmcjTCQSHo8nqUEcynCjVuI7iGYcoX0bOjdndunGXCsMkixZnO4Me2DJFGgc1AeK0H+TFGqjQSlNbcaqqmKMfT5fUubOE9u2JbBH15t2tADAzl5zIad12WPShZPU8JoXU1niCOZ0TtI5Mak8JpMGmKYpFOuJgTG+9qLG259Kz4ubhROPSZ+SPCDouv6317esaR8OrX9xWztA+5XHBo+a3ZTciDGeVl1uGEb/wKBO4a21Lf2qORi3W/vMgdhQaOxp8/yLj6qXghX5qLpUkKggAQBXXmMCACXINDhi24KEtSHPIsclBnO8V1FsyQsIc3rcWxrEtkmce0GULdlHpaEQ5s1vrZ9z9FSPORC1EjELPB7P7l7r/te7KMApJ9to9CRNsp6UEj1BEzEkeXAG92cAIJ70p7/lD/HRcPJX27Z1Xe+M2K9tS2/XqgHC3oydiUTi/AVl61piH3fqAPDY2jhG8O6OKAAEZHTcVP/WLm1X7/DY47igubx7eD7gkY2JxfWCiBFGMMmPO1Xy4IZEUwBLGHhpHAY/gyb6/dtdX50fm9pYn9z41StPzClA33PvNgD44ufnjr0OjIObTZs2VVdXf/3rX2fqM4PBYDAYDEYmmNi3Tzjz9CmjN95z31YAkCTxqCMzJoK7646FiiIovnTJgOfH55vqUV3kHlEoZris62Tdhy7uiscuco8V+ssjWyIRM5P6DACaTh7568oiasIoAo9H/tJRjQtKMuavG+1tOhrbttkyUgDAGPfx7hKPbGTM2DleXPHlOfkXPuUUl67pAJLJw5qOTIlWKKNTqGXBNZCfEBKPx2VZLtTFQrBdqv3EyiFFb8uW0aatYuuXAAAgAElEQVTAWc8GBLslt5wtqTgY0krLBzxlESmg85KrQvrR7paCLpfGmSceFvTne4N/67MNsjxu6eOKprun9/rHNqWqz0kefLfvpVVb0jaKolhVWSFQeOrd/lc2qqt3JjoGrIRJDYsaFn1hXeTHD2y+5Y9v6X2FfXEAAAhTUbbKqm2lzCyvN8vrTX+Qr2qwKxvMUK0ZrKWil2KOCJJdWmmG6uzKBiNUZ5VUJNVnsK0ZTQEY6AYARVG29KCf/rPtvte79jaI9IZBtLjd1xm0Yo0SDRkDTeF/Hp54dF7/feWtS0lcJXqitO0lK9yZvdZU8ugWsTmPovj9fr/P51u527rvrd7RzeuOV7pSszI2lcEXjwkCwGcXlH1mfukXjvAu2xipUHBEo6Ve/IWjg0qKlPzo6hFTOxRgRav5arNBKHAYHVbBLazCn2oU13ZbPmHchqkPfBhNdeZFCB1/bMZUhEl4Hs2aVbyXOuMQQZZlnuc9Hvc8KAwGg8FgMBgMYAL0PmLuHPcw58HBQQC44QfHZTrwmutWxWKmGkuXMDhufEIqdve5CNC98SJdAp78x8ejN37/uuMzlX97ZQcAIARNje5q3d+fKMwJhDEWEEKLZzV6sbtUt7wb56NBx+NxSZIkaUh48vl8yZ+zX7qgqk5wvD6fyrmHtVYE9rlz6KJFM/L8OBWFr67KLbjsTzK5ZMZ4z1jmNsalgVFKNU1LJBKODKcoGcNI045K30RI+8BQx/tBs16OhyUwDFSEbAZKBGC0VU4FZ0QCeXkCdAmBfIpl4ZFbz5w3Obeh8OxG72dOPWyM1xo73T29P3+uOYttyNJNsfYuFyn5f59090x3iGrkpw9sJNpYl3pQ0UOTrtOUor4OvatV7+/lB3tcStsW39cBYBqGMRg3bnii+alVYUIBAVzzqYonbjx5ZqlnRkCcGRBnlUiTZZhVIh1eVzF/+lRbiwo776sO/8WPegEAIajCO+YN3DcvfE8d2jxff2xK2/1mZhna6Gz+vxc6H1rR88SqnhkzZtgUZoTs207vue+M9UHfiBEjodA+aCXvNcuyKKU/OLO6pV8/uslXVaYAQI9KeAxPrh741Yudqj7iizm11r3l7xywp5QJs0oIoqQzagFAlXe8Rqro2Q9GRPTf8KMlOY/xK0IgwDIQMnIwe/Zs27YNg+XTZjAYn0woBdss4N/EgAKmSMz3375c+o8QIMjvHwIKYFNqU0oo2IRm/7dvzRwZjP0Os+DYJzQ11bvmt9myZffTz7bMnFFy+qeqX17u/gbo2s3w4yRAu7KzL2MYbJLvXjPz9rvSY8feea/bybmUujEYLG2o9za3ugR+7t6tAsBZZzb4A8LuPS7ewapqdXb2VFdPLI3sIAYhdN5U3+Pb4jBK5IrbSJblnBbPhBAnI5woipRSXdezaH+OhGfbNs/z0Wh07PWfCHi93mapPNPeoD8v1XIscBz36/9b+IMbVuUsecdvF+/ryhRKptZicFJAEIrLBAgF5nfKfhVCiGEYTuBkPqbnhBBECUU42ZWjvq7UTr27JYzrhoxQCCADklWlo29DG/Do7QpnG/kp7JarL3khcBz+zfdPfeqF9x9cllGyDPj4311/6hgvNHYsy/r5c805h+kPr2i94YJQasOjlLaGc7xKEQo3/PG9X11/0rhNniFEqhq9fR1aTDXUCOcNOPYdSYRIrxqLYYy9JaVWSaVX7EwY9Mfn1Ry1YF5qzbd9tGG6vdSZInD+9noY3Y5GbPCg6AL9Ma3Ns0X5AhcoQymuHWZ3229e6ASAEhl99fBOsuEXZdY0xS/WclsNKv3i+I+ufnlm6mnvf6v35vNqkzdFPB73+Xxr9sTXNcdvOq/OL3NRzbYyrEZ4cb0qlpe47nryY+2Yav7IKm5WOXfPunjWT9zlrsnCprB9Ucqv0Vi88tQmAKgu4S87rvSHN7w/eu3EjBnulWQwUjnhhBPuueeejz/+eP78+Qe6LgwGg1E4xCSrb8+/+ASJJIpL0yMlGbNkpUGQCLk1j2JICsp5lt6mEosQAOCjfTk/yoE4m9pkHFQwAXpfMW9u2Yfr+1K3CAL+7vXvA8Drb3QBwPXfn3Pb7zanHSXL3Ocvaqyt9SY0e8ee2Ovvhi2LAMDObt1bXXAdyry4P557KXpbJHeZ0eozANg2RKOxQCBdYnv4oQtOOf3RTKd64cVmAKis8HT3uASUPfTw2ht/dGbO+jDGi/JQqKE50qy7CFVrB9Acmc9kkpBKqlWu1+sdHQSEMfZ6vUmdIs9g0k8EJp8x4puzDFku3Q91WHz8YZPqN7a4zfokOeao0OzZE8KiNw3OSNii27JlUYZibaDj8bggCGMx8UhF1/X8820mEokg7hrwBucb/5a5BAD87wdHpBZ4Y0vivHozSkffcUMjUAzUi22VDD2dJSA6jNDTZQGn3WCibRicayz5+IRNfP7so3Xr/b+97KJBHzc3cNNVJ47LVcYCpfTh5Zvz+WtbIySh6V7P8JKFPS3trgcGPFwkMTw5QSisf2/j/GPHM9DbCtbIdgviONOJjLZN4AQA4OKDiNiKP0Bkn+UrAYCrzqw9/vCZqTMrajSCdv1lOooUd2kZJebHHt4VOSJWfxJCiFrmGys+enunJmD4wUn2POntj7nPylasgtvNIwsARKSLnF4TmNMRGTFhc8vS9iXTlcPqvaVeTuBQPB6/+bxaAOiNGlHNLvXggYT7ACMcI4sn051R9xev1Z3W6k6rTsFXLfC29sWea3YvhhG6oNH+x+58J5x0Gw0ORkpKAgCwbvOOm5/c7WzvHLR+/WJv+clNkXdaNG3EH3jNtxbkeXLGocz111//3HPPXXfddffff//Uqen5URgMBmOiQylEC/Ft8+7zJZ75YGPZ4PIPtqCQdd3hmGpCqJV35m6TUsOpSB5v2daoiEYG4xMNs+DYV/zg+0enbfnqV0aoP7f9bvOnz6gtKRnqNBGCKy6bCor45LKO2x/Y8ee/7X5lRY+1N3aoq0dvCha8ID0f9RkABjO8H+Z17KBLki5Jku76wwnZD/zCRVNdt2/ZWuTrNKNozpzjnpiuLYF5qWBDw9FpJGVZTlWfDxoQQl5/oEvIGB9XRvdfesbH/3bxzBkZ/RaOXBC8/Xfn77fKFIRXc8+gGJbKMhl05GT0yows5J/4NE9raUppUBtw1GcA2BVOH+xu3tDB7ZWGeSAVWEd7fxWRXaOgUi+X1I7T1GcAgFHeOBnUZ8Djt27v0vOOfugni46dEwh4OQQQ9PMnLyj9+61LJoL6DACapq918312pTM8mPrr9nb3runSk9Jnff/6ZtgYCLsWLhqrYpIZrAVAtLedj/YDAE6oXEI1QrVmqNb2lQAAte0ZdeWp6nP77k2+3X/wFqs+J5nMfRBoW04M/fbHPnh7p3Z8k/DA6e/Ok961KYc5od2eSUaOEs+dlT6pQwHe3Kbe9Vr3/zzfcfPSdspJCCFKKba1+XVCRCNnzJIz5bCgsRwzTG0qoZRWByTJbfjDIfjMVOnZlsKGRtFYDABWrtuWVJ9TueaqmWlbZkxvKuj8jEOT6urqN954o6Oj48gjj7zxxht37NhhGIadmUIz5TIYDAaDwWAcBLAI6H3F7NnTAP6TuuXBv6QbHL/4n3ZF4S+/fKoaMddvVx97vj25qyQgDEZGvOk1SfbukYcfNUlY0zIOIX5jGQUTQiORaDQaAwCe5wMBnyRJGOMF82ecc9bu55e1Zjrwzrs3um7v6NjnSdsYaUiS1CQZu3UXDWtFLzrWn1cQdBKEkBPgjBByDjQMQxsZylq0tcKEwqcozVLGhKJA6bSqjNYc4w5C6IF7L/znv97//R82jNwOP77hqLM+PX/CBmRNqqrY/P/ZO+84N4rz/z+zVWV1vfdin3vvxjaYXgKhdwghlJBCAiHtGwgQCAkQyC9AIISS0EPoEHo1Icbg3rB9d/Y1X+8naVdb5/fHnnU6aSWtrp8975dfful2Z3dH0uxo5zPPfB4roR4jiuO4oVlq8jxvGAbHcSzLmm88xvxH3E8mGP4cV6pmWdY0rgnG+Iuau8sfLltXt6najoYpcwszxK4nX64NKAZFwep5KYuX5omuJD9iAGC+o2NbwNp5VrUd65GpeQFSbRaOS0525q3XTVB/pBf/W2m/cG1LV1nBQJ6Gzfutp0Aefq8xcuNDL+254aqjRvxuwhijjDwNADBG/h4lNceMiMe6hiWxJNWdFOL63dq4P9f72uDDEUIDv+SN7Bpd6ixidlte6yC7pkD9PPhnEbXz5R3Z5RnsxTOairn+j1FFgmEYKbyf0wfdgAtTKgGmx3gj977fCgCzctnaTk3RcW4SXZbOdOVzmxosbuQNtYHiUkdAj/VhPrpdmpXOICurDYSgukeXE/wxwQBen//eN+ot925qH3S65GR2yNNghCMNt9t90kknPfjgg3fffffdd98du7CqqnbSbBAIBAKBQCAcTpCnn9ECIZSd7Wht7dfd0tP5zk45spjPp+XNyNwu8mfN9/3lgQFHjjD1GQC+WN8GpYMST42I+gwAMdaLXH5xxdPPxxrY33v/l1u2doVtLCsRfvPrJV7vUKrn9WkJRS8SRoSTZhc+urk1crtXs+UEPeiQQ+bOgiBIkmRGw41MLScSgiDEiH0GgGTFy7KJ++YMA4qizjt36VlnLqyrb9u5q4mm0Ly5BfmDAycnIJXdEjisldYh9wOBQICiKIyxqV+7XC6Xy0XTtCiKkZMf9p06VFWlado0MQ+dlfF4POZpZVn2er0URQXEbkgGAOhW+qcoLlie/uKGgeDZ2g71eLH1nuf7VzsaBqzb2nPU6qIe1P+jXMtlQMDiJwMAFMquIlaccvh43cRmY2MCk2SGPmhKQE9kCZCiQR6lNHb2UKlZMHK/UwNNHSE9o8CQJUTRXF/HtLISgP5+pvZAFac2OZSaTBg0s2sAs99xNmt4ZXBnals6ucUA4OQ1y2WmTcxKBoe3q7PyPqUHpwRs5laJPpF2ZYbpvslUp8CjsHSCkexuVhEAz6B0N/XGTumao7M2NTTfekbeHW81hT5vGBhmJulbugc9iOa7cbMfhX4nuzs1S7dJzYDdHdqMZGNPbwKL+ZwOx21Pb4322LO/fZBQfset4UvZCARL+vr6li1btnevRWpuAoFAIBAIBIIJEaBHkVtvXviDH683Xy9fmvH2uxbhVABQuakFZhbv0oVv/Xhx15cH1m8K13NNqg745s3I7guMvJb3/VXJ4pzFv7ltU+Suf70cHrUdylVXlP/98arI7Qdqfd+79tMRqx9h9GEYZopDrg5Y2Bm/1UyfnmvXADcUn8/ncrlE0SKkXZIk+6a6ExUkx8jwho3ZBVlR944mDMOUl+WVl1nbqkw0WlrbNEdU55CEQu/DCNplOJ1OsxEihFwul+lXzjBMojMrAMCy/eGQoiiG+piHZdTEGE9N6l/hsbc92VxksqDYHSpAX7LY/ejTB4AZaEKFWXwrM+ijyBIoVhYbVUfoRhqwTtmdUUhPT7NZclLT25eYE0VYRvHiTMfX1XZbwq/OKXO7XBUul2EYoiQdbGlFDjdyuCjeOUw92lBVo602Dddko/0U6BgQArx/14rCiuUNlRtKjC+KkbVSfoA7AwC6ReR2o1RcK4kO0TXbCzm1sDIXb+eRHwB6jcxkqn0vfaYAnZnqpjA5lx6sVWMA2XAAiB58EAAMTFEhl750IfO3L+PP2WCAgIZ3NKkAUNWm/PKUnDv/0xQp+wYkLexBtFuhrpnvfHS7aHPicm6uq0OR26VBpSmAaNMK2yub97dZT+0AgKLh0BzRK1aQhHIEW9x5552m+rxq1arvfOc7mZmZsad+7Vs/EQgEAoFAIBw2EAF6FFm+bAHAegDgOGrHru5oxTZtbJ81sxgAJINyLpty9Vr9vef3NDRayHY73tm/6FtTOu05O9tkTblzybwZAHD0qvp1X7SF7VUU62uxLLrhR9P/eK/1Ct/hUFToJuHPYw9C6Ojp+dXbOiJ3ccjwakNMdhzjq1QUJZo8PSkQo7jumuRJHRRVMlZ1mcTU46gm44yhDs1/I4xgI8QY+/1+05cDADRNM8PzWZaVZdksaRmtb57B1AuCWnMM8RpjLOIMB3gBoK6bBVAA4PZXDyIAnqXmFDilgHLfg3sBYNGK5J0H+m+Bsy+e4wNAgKcgbxVOAgCFYhVnchnnbxXBj/t/rN2UXVG+WO4AiCruH040Nlus3gCAikyust2iCaUlDcqcc9SsjJe+tOj6Iklx0VNKC83XFEUJbvf08rLQApqm1dQ34OQMxPKAEELIpiqNNXVa22McksO62jL8Oez7vAxi5ZuforwKAJXObxdon2OADLq+Rp8hSZIEyX7+BJZlAeupRlUVsxarAYnJZbU4t1U1f77o9QKAlylP03ZzaJCB0kLPVoDZdt5UkOe/imqcLWvhzxiiiv+2LYHfhRf3WhhJR3tIohD+m1UuzVCyp6TAxy0AwLJogi8fIUwc3n//fYZh7rvvvuuvv36860IgEAgEAoEwQSEz8KOLIDA0jRYvTG9oiDqgqqvzO6iB4dIBka44c/YNv15QXuIOG7piDJveqj6xADnZYUm0hSn0rFxuzVT33RdOveKU/gCfm26IkzbQhKbRdVdPkSV9NNRnAPjJj0jG+fHB6XCUOiyECQVTn7XTTre1SUJs/H6/222dJVlRFEmS3G43TdOTbsrB5XJ1sFE/EFpXyktLxq42kxZd13F0O+NUpXdEvMLDWpeiKH6/3+/3BwIBp9PpdrtNy2ZBEHjeYgUAAJiqNE3TNiOmKYricP9ClsKU/lhRSTXuOr+wKJ0rzeT3ftlv95/t6v8JPvuYTB/loLGxlPcnUQYV4szfRbtZj3umS3IiHQCyWFufCWuoM8tL7ZQ8DKjrthbl9SgxtDNLBnnjFObZtcr54xWzYhdgGGZqWWlFumdqEjfVw5a7aY+/k+rrwpIPa1ZRwxhjTTFEb1nr0xySAUDFnA6sAgkkl8cYatiTMWLr0FH76DMP0CcGJ/ZkWfb5fH4xcDBQqCgKwzowxjrEmjzzo+zg4RhjFoUHCwtU79TMEYxdSKzzpxAu9RgnFcLaQji2EJZl4WwnXpaFTywwAICn4kRNT08yVKts8rMKXcHXe7v6b7E7bluUUN0IRzL79u3Lycm58sorx7siBAKBQCAQCBMXEgE9uvzyprnf7Ol64cXa2MUKWa1qcAq4HX1syWmzSgGnNzS9+OYg745Hn9qfnemYdUxhTdcQ1ZnfXrQwNK4HY/zKa5ueeHLP8cdkV9f4auv8MY698Nzivz6SQLqnhEAIliyZMkonJ8RlzZSsml3W+bjeaaG+leM27QsSIoa4bEakmmYIDMOE+RhMTJxOJwBoDB9DN1mSmYB4NKFoaWl/4aUdO3Z1i6I2bWryOWdOnzO7ePRWCje3tAJn7RGRLbVJiTc2S2K0QFNoc7lcPp8PIWRGRodhWpkDgGEYFEUFnT1iw9L9xWZk9gbDkH/97wYAKHZqv/v5wqtuWm8Y8MFnbd86o2j2koJOWgAADmuapkmSVObkqnVX6AmbmBTeA9OU9h21YpLLm1qap0SPwUfYWJnpnHTzOkNmy0FrR4X9HdZOEQ7HoJkGmqYrcvnK5qi2DCZ/vrIiJzuxHIwIoeysfisejHFVaxflSTH/1Pu6Mvu+zIADrBnSfui7YpECADQkkEGhij9PURRFiXq/mDMosixjjLOp/TTEioA2gOY4LtjmkVWW4tsWrnu1ee0rO0ZggYLKO8C20c6KbFyjOX0YbQl9r044oIHDwAAB2YjT5rvarOeQWnoGPvD6TjU/z9nYJB29hkyHE+zCsizLstFm3Ccpuq6rqtrdHXUF50Qg+KPc29s7qX/1zI5aFMWwrN2TjuA3Yj5ZjW9lhokZBjHBbwH7xLmddSVWZpvhYWDD/ljC7/erlHU9zdsk9GaXKQZsZ0YxEkn6ge098AcrlljGo0QKGziBmsiKbL/Fer2J9TYJ+cAmVG2bwysTn89n/z3KcmLvURRF8xl4YmL+QCT0cU1AiAA9uqw9Zv4ttz1pucvB04FD6dtrNxyEBWWRZTCgokKLLFKt7YH2V6q+d/X0j6oTHgGePtsVtqr0mute2f1NLwB88FEzAFx3TcWjT1pbPx+1IuOZ5w4kekX7YAxvv7P922eQsKPxwSMIi1I6N/dYLzr+po8q4+iEglIRQnEzvGmaZlr9CoJgGMYEN+VACCkM38alRCtQoveybO5YVmlE0HX9hl/8Z8u2AQP6xibpk3UtLif9yAPHlpcVjMZF+6I8jnK6ogQCw/lxNduS+TruecwCZtLCyL0IIbPNY4xtCtA8z7PQ34zdrBjqg7G4iH/uX9VpLod5mswMPnf5dNOegEeGCzTzWqmUdQa593f0VbdrAAA7q46e6iicUWgpQzt05cs2DUDkDXWKm8rNzo5b50mNVUhrVFaXcJFzKrdevuiSu9fHOOrG0/NLiwuHULcgCKGKnPTKTp8hekvED5Kp9hFZgVbDnCiKop1maTqYZyi7YhdrpFdIhzphhJCCeS4iCBohOCfv01LPgj/9zxVxggQ4bprzG79deaLIjavVQZdzUoZ0qA8JGCjPhZvEWGe7ap77xn9Yp+LoHJwzecXKrJJCt2n4TiDYoaKiorOzU1XVw6nZIIQoioq2NmiCIEmS+dvN8/xklztFUWRZlmEm99hcVVXzyZ9l2cnuYmRO3E7wW8AO5tgq9u2M9FG8fVAiq51YlqGiL0mUJCn0Ztcxiuq6FVkNCiX2yGgbhAAAJaLQJlA4oU+Ppmn7LZbjRmClaTQS6pATKsyxrP33SNlOnGPCMMxk74QnPuTzHV2cTkdpiVBTaxF0U1ws7D/Qp2kYAD74sGntIQGao+CEAmZds+ZTAQCcDutBqmHAY4/uveG6aa9Xhgt8CMDBIkm16NdOn+068+g5oVs++GCrqT4HeeTvlWlp3GmnFDwXEbjd0jzqM0J3/2nbyhWlmZlHRO6sCcjyaUV7NjaIVsrgAZGalexMKG+bqdnZLGyeWRAEVVUpipqY0480TcdQn11ST2HJ5Mj+F4osy2ee/2+vzyIQUZT071z94a3/t/CE40Y+GZefsVKvME4NdPnjzVvERpIk+zMlgUDA4/Houh5pOU1RVDARojkIsZMXUdO04GOlwPQgyDH/oBB8+latYcBfHt9j7r3yioqg5D+fEw0Mfp8C/SEeOCzKPlUX+9VnAABYVxWAqqrlpfzUOYUyPeg5TGL68xYqNLdVgX21bWuKMg7jnFe5HrrVZ3f8ceaKqZEb3S7nP29ccsX9GyN35aeyf7xqkUcYmcBGT8fGEmrzSJmfBSBJo5IMI/5aAY7jOL2rXNkQ+wG/g54d2vEihAyI+uC+0LP1yROdbzUf9drOofTVPANVst3xAwJQHc6wwZqTwpIBh+41lJXMNYlR+4156VBSWABga/1WVpEnyeOa7GIWYSxZvXr1E088sW/fvjlz5sQvPUmgKIqmaZdrWPNMowrGOBAImAK0w+GY1HKnGYHBsqy50m7yIoqiKUDzPD/Z52N0Xdd1fSLfAjYxBeg4t7NGj15QZWLyIsejKPXUdV2SpNCbXVU0kO0+8CcmiVIUWAaDxDh3QvpzYqe2C0Mz9lss70/sO0/oqSgh3TyxFsLz9t+j5fLWWCfnOIfDEb/cOBGal2jyMrlrP/FBCN3wk8WWu/ZV9prqMwBIAT2L6VcWFANSeersUu6ichYBGCjWd/TnR/bxde1htywGsFSfAWBGcXrYHf77u7dFFuvqUp557sDqlZmzZ6aUFLvz85zZ2Y7rrppaVT0WJglnnvvaZF9ZMHlBCJ09bSTXYCU6hvf5fLIsS5Lk8QzFdXp8KfZM3F+sGFx+1euW6nOQ2+/a0tTcPuLXNawMoBFgMyXgkLFvlBHE6/WKohgpLjMME6yM6RhjZ4V16GMBS2lnzOtvFSdOc/jFQZfoS+33Z5jL+jHGfp83eK3I2+b99RbBmxtq5GferG7asR9FX+km0o6PGroTWxs4qVhebFfHXFPKh/lvBElJTnr11rXXHZ9BHfroi9LZe78z5aGfrB4p9RkAiqnNiR6CASQsVHHneiHcq7qBO8nrs+VUw3EcOHMO8GfFbgTd9IxgO0EIpWnfOFCsJSkOSjov/6NnTlp/3NSEu74LlyarFs3cmpk5rBZRuEujBQbOyOufqmmUmbx0x8osixshywHnr5xmv24b6uXjj5trvzyB8Itf/CItLe3HP/5xfX39YdzZEggEAoFAIAwHIkCPOsuXTbviuwO+xmWlSZFlOI5KD/GyebZKebpS6QgYZ5WygCAv2wkAWRk8Z5V7cG+1t21DvYuzNZDb39gV+mdvb6+qRpUt1n3eumNH14H93oZ6f3Oj+Ne/7bNziRikpnCFBfEnrDCGjz/ZPsxrEYZMSnLysmRraxcx8fVZQw4i83q9E3AGMsbAktaUjPTJF7n//ofbG5vi255ccsXbIzuobmxuAau2IWgWQnBC0DQ9UlU1o0VC27BhGHGbdFiBc2b095zvvV0f3Ohy0r+462gN9Udw8KDHXlvgMpT26EG+Gw4EcMypSo1it1bXxq725GVmRbmdYnke6oJjYmURpCjqpNXzXr3tuNdvP+7124974Po1U8uKRyoMVtf1un1fWZ5LwQMdnREis+qY3qqeWs2ff9BxqhSQ69FyFQZ+QCvZs3z2fNIRQm6jGR1aIBoNDKAOvvVY8O/Wjot7M9EIf6/840dO3DczJ374oZtDZ8xmf3UM9UGj3efPTAduU6yX66Xz8Fn7wHlUjKo098yUQTUuEeAnJ0xDCNnvFsqyok5UEAiWZGZmvv3227W1tUuXLr3pppt27txpzmtGg4jUBAKBQCAQjkCIBceowzAMle753jXTnvj7PgBYszr3QE2fuYum0coVmaVTk156p/nh53Qd3b8AACAASURBVOvKitpPPrWoCtxmpM+HjTqAvsIJZ55c9PBT+9o6BqICeY6SlQExwufXptOBLRB/vPR1beC0VQN/9vaOpN/u8mUZJ5+Yd9sdOxYtTNu8pSuyQHeP0t1jy7T61t9tOeH4BSNYN0JCLJlR9tWGg5HbP2mjTkswFeFw5JsJ6MEUY9BYyoxASq4xxjCM39+zxU5JVcM7d1XPnWNhXzA0mrH17IJb9Sdg8mIFTdNxncdjYybGNBf6AYAgCHAoAlqSJEEQYovFCCEvLkhG/XKzm/H+6LRcFdE0zutu8yuyllGU2kZ7vIduDQ5rccWIDLUvxt4lJfE7/xZHuplHMW7JSQdN0yUpVG1PrLB3Fwu/Pnt8Yloxxm01mwr1dRVRPnsODSRIoVB/S9ivLVQdpYKDNvNSAoCmaTXCaRXKSwAgokzdsKuoJruZfOULXeMkiLW6pYOeKwcGHjMwxq3MEsDqdvXU+cw78a9Cddw8//MmtfTvO4oq28PnkHKS6GPL9aXp9VlMg7llTc4pn7fYWi+fmcRFnA9oBDoGVceyhsNiKbppZxIr9akIAGanoYuOqji0YtHuj9GVp8ywWZJAMLn55pvvuece8/X9999///33xy6vquoEfMIhEAgEAoFAGFXI089YcMkJMy+6+38/unH2Q/fv+ufTA3HES1Znb9rj3VTVL+cdqBcf/tteB09ddsmUA2ySOZhGAA8/FR56HKo+m7zyn8aTLqqobIsTORg2/uK4YTWAiqmeyipvcjLb26sCwIavOjZ81QEAKckJeH5dcXnZP5+2SGwoSdJk90Gb1JTwcm2EQScG+KyDXpsZR4ALQlHUcOwUJlGIEK2ruXlZ412LhKmpbbFvVvHz32x4/82REaB9fr/OjlZ4+3A0VqfTSdN0IBAIbeHm66AnTFx/D1mWET9gG3dQLGlkU/v/yE8BgLaQwh6kz+QDgcAgxTyy5X+0sxeik+Gx1ZO3tHfkZU++VmqH60+d8bMXdkfrMKZn0teeOGNcxHdVUbSaF4uo1oSO8hkpGpVsepuGNgZd16u4s1ksgiHbVK88glAsvwoIaFAEiGWk46fywhpe0Je/Vpxbwuywc7k8tua2RTUaZgLYIxluBbMASKD7kqmOsJInJa/7vOXY2GdL4/FMQdunhT8JZDlgdRZ6owE3BZCLDjdp1DBKTnI4/IGLF2RmZWbYqXYo2clMzmF6mxAIBAKBQCAQCOMIEaDHgtTUlLIs7t/bfNNOL1+eBk89td/cfrA5EFk4IBuPPVmZ7GEuu2rGbpGnbBva129qhqLM2GUWFQ0SfTIyUqOVtENlldfhoJcvyzjp+LyvN3VkZDgeengfAHz8aYv9k1iqzwDw0ce7Tv/WkuFUjzAc1kzJrt3dE7ndp6H/NNPfyrWlQRuG4XK5hhyOOgGjNaO7Q0warTyUDV/V2C/s9w/LGSOULq8ItLXHd2QmwEQZctA9z/OyLMfVl+Oe3+l0etCAX/NGbV40sys30mewoiiGp0xUFIVlsBLil9DYGysRSkZuip1VCc1ef162jXKTEJ7nf39OxV1vVvoims+Pj86aVpo/Lgnl2loa8vpepqnEkox3G7nNzHKEEFKUsNbIMIzX66VphmWdsr1ZQCkQ6OAWZGub4paUQQCwaEe6rhfSu21Wvr+eSBNQt0B1xyjjoMR5acb2Lut7I9+NwS9uqlR2AyxY4NEHe4dMPdR5FLthcTr1Sn149xvA1JkzkkLVZ4zxDX/9wk7lf3RqiZ1iBEIoF1544bx5CaTqnYCPNwQCgUAgEAijDRGgx4jrTy//6RN7uv36u35YdsFUaU/Hjh3d3kOCTmYa1941aNzc69Ue+vPOW26Y4QO7uTv3VHl/dHz+25Wx5Jtp+cnf7KsCDMnJSfm52QzDMAwK5kIcAoGA/v4Hze9/0ExRwHH0D66tePaFmt/8cvYvf7N1yOc0+cM9O955r+GO29YOUyUnDA2P4C5ztB4IWCztxwBvN1On2dOghxPF7PP5nE6nufx8gqAoCm+oMhV+V+oUq+v6pMvA/uEnzQmVt5mFLy49sgZWbvBJSt/wBeihDewZhkEIxUhgGNweV8pkKDVYZH3jfCnJug/PpeVcLGoahKnPHo9HFMXQqUe3IYtKrPvIYG351frQ4Wxrm+wR/njxgobm9sqG9u4AznRRZfnpBTmZ4yX09PX2FHpftJ8DvEvPS6ObAKCdXwm6oapqWMOAQyHJuq5H7oqGpmldbJGfy3MZLTna19GKtdNzRdHakoumadr25RLitIwt27vCszRPS8a1jb5NdQPTXSmM3qkNelhN4wFj7GFgcTr6os361ijMG8jZiDG++v7PO7zxp9BoChbPrUjgPRAIAACwYMGCBQuIcRyBQDhiQGjUYm8wxBg8YjyowKSM/xldJtEC4iFzJLzHwxgiQI8R06eWubi9ARUbGGraVchIvuHm4n8+vd/sOMPU52OWp3+2oRMA7vjznpPXJrAUlDXijBL/8E7ToZedADVrpjgyM/lmq0Ds7313yhP/qLZz0TNPL3z9rQbDgEBA53n61z+fdfefdv/94aPeeb/x9TdqQ0s++tdl1/7wKwC4/bdzb/3dDgdPBeRYwYbbd3SfcfarF5xX8uMfriXRImMMQujE2cWPbmrGVgqKAeitZnpJmieT0WILxMMJPMQYT7TvHWOcqfYe5COWdSMkimLQpWGy0Npm/d395Aez//Lwrsjt7R29IyJAG8haqXdp0jANoIeA0+mkKMrv92OMGYbRdT3yscbttmt97vEI5ey75uv1jQt/80TLz67N6HEPZKd0IT0VqfmMCgA+n0Xfq2FwOl0BZeAj8miDlEGeAXmwkhZgbCnLBjXJJkgSBSFUlJdVNAHMcFRVTW99wr76DAApVHOTNjWbrkEUHfBba8FDe+CWJIkWBAlFXSCFAbqoCoytW/joBY9jjBYJcitmD/oRAMxPw1uqvZ/VhT8VeFSxEw3K3vzWQTi7EHWrGABaLe4hAADqULUxxnc+/aUd9RkATpmfMi7B8gQCgUAgjCcIIKExF0XFkomHQ8923GMdx4YwTtJ11Evj4C918jLgbWWiBgADg6rbdR60nTZi1NENQ9XsxgFUtvVVt8ZKGxOKPzCslDnjxZsfVT39it2Veaw4Kd/j4Q0RoMeO288v+vmzdZkeut2rA8Bz63tmHZW7+ZPGyJKm+mzy3qdtl5xd+NyrDXYu0alS4W6IMfm8OlB4/JTmZyyUpkj1GSGgKKTr4T82r781ULc/P7Dnu98pP/20Ao7jFsxLev0NMCOs3W4mEND3VfaLS7f+bgcAxFafg7z4Uu0HHz73+isXsqzdYHDCiMAwzJkl/Gu1USNSN3ZRDGJPyGY0WYrmTWEnaVsMKIpyOp2GYZjKy/DDY4ePRFmLfZNxKtbtZrw+iy/ugUcs+gRIJItXbFTG2iY+rv2FHRIV6WiaDg0spSjK7XaLohhaGb/fz3GcqqoulytaoCgAuFyuEuYz83WblP2bJ1oA4IMP65aemQoYWIQXcH5VVRVZ8QWiVrLXYKq1QV5Je+u8oX+Gqc9z8zmMBo0ZKGwYyGIUYSBK13Uz0Dva1QkjAqp5KphO0A4aZveqK3lP9h55BjsSd0EYPp+Ppukax6ml6jsAYGBkII6BfoP+BvaEGPMryWp4FopQOvT8DNriMSYusuH4xWdlAU0EAAoBz6B366w/seZuFdIGbXEzgBCcVYhaJOtDaBjIt7lu077NNfGX0cwpcl19fP6km0QkEAgEAmFESHj+dZTma1UvaNaJTxAACwChiqLbD/ZX9yUyQpg4IbY4ZkR4GH5Z75PsSq6qOmLmimNJe5dUXWthE2rJ1FSrJbeEcYUI0GNHWWnpHefrt/z7YHBLZavy7XNL33g5jg3rC282XnJW4XOvNbic9II5KS4n4/WqG7Z0RZbc25nwOtk+GV984/zn798Wtr2k2F1bN2hEunhR+qqVWR2d+osvVSsRWRCD/OOp/QDw5VcdHEcBwG//b44o4SlT0n/80//e/5fEfCSDdPcoJ5767H9ev8DtJp3ImJKfk1XWWntAitpRaBi924IExrUiHdO6Eply0P5ScUu83gHpzeEYrbR1CSFS1uLpZFwNNL0iucUqgDDaW0lNEUbkugZt/RmOiDAqyzJN0zYbnqk1D6qbYfh8Pp7nWZZVVTXYpFmWZRgmhk7ncDhSmYMs6pe6Lr6vP9x45wH/GkMNUJyH0uLOxCCEGAjvXbt8sd7Lkukp3sFb3Krfy1noaDLNv9/kBwBBFacnc1npaZFlCMOn/eDeAmT3yRgARJRxkFvLsMahpjgqwRq6rgcMp4I8HPbu588BwFOVVwBARJl9qgvAem6PYZgMY9B0lA4MDQMjlqGpzxjQb79eGjgU0WNgkNSo/efGOvm4bK1dHfgZEjUwMHTLxoYOAKs4cwfVfza/KP6/t6PW0MGigIp/elp+WbbL7MBzc3OH8HYIBAKBQCAQCARCXIgAPXa43W6P2wEATg5Jhww9P9njO/u8ktdeqo2tXb3wVuPxpxWu3+Pb2mGYA8WCuRmrZgh7dnZt/2ZgnYU3MJTIqS0H1UtumP/cnwdp0Kb6XF4m7D/Qr5hs3NS5cVPnPx5bW72/68sNHQBAUUBR1hbSlVV9CMF111Z8/kXbR5+0AMDVV0557MlqAEhL5bq6E45jlWXjtG+/+ME7l3CctXRFGCVOmVv8xrbag3Ks8HOfhj5sRRzFn5TNhklsCKHoifsmHxRFSVEE6KY+MTkpyXLXhGX1UXmf/bfVfvmRCg9EWMdWifnMoGOapjmOs5MP0BJVVQVBMC01YhRjGIZl2WiCsizLsix7PJ6gAO33+z0ej6VJtBmnX8L+l6f6z9YolujGQC/n8XYFkrOnMIG4CwFcLhdFGTD4jumVYgnQiiu81fmZOBN1Pta1SYT03oPLygri1YhgF4yxz+cVfX354rv2zTfqqFUiyqIw9hgNMmQl5O+cKJIk7WPX8jzPGd0l2kfmxoPsMUr0eRFN0/YLZ01VXg5uCVWfRSy40FBWt/xyw5qDPQn8LlRVd6UUDzirYIDXGvCSNJTK6B2qhbGM36ANw6Ao6i+vbLc8YYqbufHk9N++0rq4zFWa5Vy/ryeg4GPnkIQThCHS0dHR05PAtFN5eTkxeyEQCAQCgXCkQQToMWVKeXlOcm2qwJy/Iuv2l+vNjR9+459zTN7Bbe1dPVHjnlgGrd8zaJjX5dPf3NgLQJcvzjptftLfnt7vcbOBoQp9mxvV79w4/6mIOOig+hzku1d/GnxtGGAYUSWea6+a+sijlcE/TfU5JZmNpj6npXFdXbGEaUUxbvrluw/8+dsxyhBGHITQt+eXfLzjwF4pzhonxUD/aaYXp3oyGDUQ6I+rdbvdQ/bfCCMQCNi34h0lEELRVpx1UnFUP03T6hqbO2mXjiiMKISNdM1XnJPF8+OWGu6oFRUAdvOFZqSPWD2dfW2DXCPMTxRjiqPdbreiKJIkuVwuU4nDGFsO1DVNiybV+Xy+uMYvPM8n2pYkSQpTn1mW5Xk+l9niQh00GqjMF1WpAP3KPkLQkZQ1g5XshD+3GHyjGj7D0dIbVZHMECg5wgDaptdzJ5u0vbp23pQSO4UJMZBlWa5/LxOq+tdoRJGVRJzkQoOM+fpQYZ+epqqS0+nsNnJ1fdQthlRVZRgmDff/NO/nzozbLCktqpng0NTn//s6MfUZAOq7tLJyrWtwKsIeUe5Qo3ZKkhQwMP56v4VhDsegK47Oem+X79dnFd37Rv2mA9V3Xlj69GdN3z9nWUK1IhCC3Hvvvffcc4/98uadOHr1IRAIBAKBQJiAECPIMYVhmBPmJO1pDNz+cr2bH/jwa9rVrNkRac1CUDWcm2odgtrcpT7+SSdTkDJ9cdQUQ3b46qB61Hfn5OTYdTm44NzitcfkPfvP457553GWBR59vCr0T4ZBAPDbm+cGt5SWesrLBmL3YqvPJps2d2zaVBm3GGFkQQgdP698gTuq9W0QDLCxm+rQBrXVERRYzSjUkTrbENB1PUmLkh+MZiIdSIJ8U33gyw65yZEus06N4XWa1Ri+1ZH+dbe27YAth/fRQBBc82wH/d3+m8UjdV0uI8eZVzTwL7fImVvkzCuWZdnv96uqCgCiKJphyIqiyFbwPE/TUZVWXdcFQRAEwe12my9C95oh0olWOyyWXxCEqcKWCu5dD9Uaqj4DwBNvtwVfX39JKUaUB8UPa0UIdRu0EaFfRosDz0umjzt+mr26W9PIpcZotAQ7tO77wFP3YCZUxS6GMQpTnwGglV1utnZFUcbM4F6SpGZ66X7u21Xceb2++N9+xuC3ZkDCqSxDlyLcuvno2q6hhHgL9KDZ7rMLgeJi/bJU1ta/8tkey11nLEgqzXadNteVzOv3XjYFAdzyr5rbr1gyhFoRCAQCgUAgEAgEm5Dp97HmnBMWPvPFR9PynGkCe8bi9F8/328A3dit5WTxLW39o0GagrA0rcdMd7/wZaz1fVv3i9d+K/n13RaOrqbRYdy6dfqNlDXll5VQ996zM27hF1+uA4BPP2tatTLH3JKczPX2Dgyhw5a/axrmeerGn2++8Lzif71UBwCzZqR+8mlT3AuFcf2N//34/SKnc0LYAR9RHDWngvrmwOa++BYoG7upVRmCy5BVVUUIMQxjGIapswwfn8/ndDolKX5SqdFAEIR6xsUF+hSHhduGFJAt1fbt1TV9nhzrMyLkdad/0exdkeWKIaeOHnfeuvb0c1+NWywlmZ07d+oY1Mc+oigyDMNxHE3TFEVRFBX03NA0DSFkinpB6ZnjuKCBj031OYYHiMfjnsq+a7mrU85WDxkTLZ2Z5M+06yrLMIwfW7QBgUc+ObwD/87KZCm7YLi+4whta+pcVpo3zNMcmei6ru5/voiyZWKDrHISBjeNnu2GJYfaf3zJ2+12J6k1GKNg/VEiiY77D0EAAAZGf9p9TFV7nIuiKAldc1m1PsQJ6uMW6I35k9IQYF7fZJ3FqDQ3yYz7djgct79Ue8nq7M0HelNTkmNXjECIwaWXXrp06VLLXbquV1ZWbtiw4X//+x9C6K677srMzCSZYAkEAoFAIByBEAF6rHHw/KWrMp/9on1qDry0ftDA9aLzSv781/5083qE7vHq241Uuju64wUAwKP/ac4rT4081o76HOStWuMHv1n43EM7e2MP7w7xxfoW80Wo+myJLBsA8K+X6q753pS/P1H92edNTz629qLLPox0ap07J62kKKmuwbt9R2fkeV7419dXfneNnboRRpYVM8tyDza/d1DTYlqcznCK3SLoHGR6PKqqBgIBQRBGSoDGGI+LUGsi0jwAWKrPAKBb6ZX1Bxv7PNmxT4sp+quWvhV5KWNvCpmamnzrrxfe/octMcpQCP719FkjWTddBbCYQ+IdjoTaSWhIMkVRLpfLMAxd1xVFwRgLgsDzvJnHEiHkcDhGyg3G7XZPYd+PtrdVzAToAoCLT8l1zijHAMhaUguH5XisWHzIbo7yyToAsDTkJtE5SfSiUndn6sioxr0UmcwbCoZhcPsfdKEh+l4ZQB3gzhyviTT7mDJZqHo+tF4AY/TA3mO2HYwveS8p4r6utyj2zIa+itkDNkdxH08Qjp4q+dPmH56cv69JennDAU3Hz/639akbifkGYVjMmTNnzpw5MQoYhlFXV7do0aKHH354y5YtRIAmEAgEAoFwBEIegMaB806YTyGoapEqm6VvLRjwE3jis67QYgyN/nHfyuCfvT5t0RR33JMvyx4BkeiTKrnsW9MuvLB0+Key5O9PVAOAz6ddeOmA+syy1KqV/S4iO3Z2vfl2bU62yzTuCOPxf1QNLTsZYfiUFORevSRvmiuqjjDf7T+mpHtNcff83G4aaaYZ9GHzfWkolvZNUxbNtZ62FVinM/zuhpYhVmt4nHD8vJ/+cHa0vRxL/fvZbwlC/M4nARTrhf+qJ33IWUZpmpYkyTTuMEOhfT6fqT5DdCPpGLAsa2lP4XA40pjaGJryS/9VAOA3P5jpnFHef3V7qt1B3fq9ryzjV5Y7p+TwFMe2Bqjtbbi1b2SmcyBekyZEQ6l+jhmq+gwAB7gz+3zSGAc+DwHDMOzNnsQCA7p319Ff19nyGNnUYF1M0Qb9iMxMhnkpUU/CIePljxuj7U12Ure/VPefzR2ajgHgnCXJ2VmxPNAIhOFDUVRpaenbb7994MCB3//+97Fz5BIIBAKBQCAclhABehzgee7PV0ylEKQJTKcPM4e+hLCnUU3H3/3Z+tAtzsGxgY/8ZFbkyV9b37W8OAEFh43SBCQVbzNcF90wXxCsvadHitKS/gXyqmp8sb49dNf7HzZomvUzemeX9dJawhhA0/QJc8sume5xU+HqiZPSlxUMGMWkubtZlgUAM6fcmNZydPDosSIWI3MKtbS2YduBTt1ckjhOEZHnnr3k1RfOiEwzeOG5Je+8fmFOzrD85SMRWGvRE3MOjh9iQC5CKPY8hyRJCanbPM+HmT4DgCAIhY4dmfTeaEf5NU99m3bDTxa1ONLsX8s8c7OVAJ2het+pVDc3aQ29A++urmvo0mc4Yx50fxjQVfV+MrLlvGFJLXtKn2+ixz6bMEa/WY2Khzgz1Guk/2jdUdsa+59egg88x023dvOPtszLwDDPNfChUQhaLPzGAAAYhL/Z3NArRe0Njp+X8cCVU82VYW4OnXts1Ok3AmFkWbBgQUlJyXvvvUcEaAKBQCAQCEcgxIJjfJgydQpNVdV3qge71NCgyTtumn7Ln6JKGx983u4sTg4+tf74oW8si63f0kml203UphoAAB4eeSM8RgFga6Na8e1pW57bZfNsicJxVE3twKL4yy8t27K1c9fu+OLy9Td88MIzF4xSrQh2SE1JvmJJUlNbx9u1koL7RYUz8jpD5VaO1nieV1UVYyxJktvtTjTzm8vlMleqmqM1wzACgUCkLDhmoBiDRozdESJ7s4zBfgpGhCpbuuaX5g+xcsMjKyv9tRcvCgTkmtqWzi5faXFmTk4Gw4xKeGyS0xEto6WSmsPJgSEkZEMIxR7SY4w5jrN/5siIaUEQprLvRZr57uub9009fvaDHp+kKypeu8jRRzvDyrTqbOwYctl6Phi/tbEjcuuuVr0c4xHRjmM4FRAiEUWf6+BTuWjo8nENd1qfhCBxJ+VxoS+AqoXzy+WX8VDjFX6+bkbQwdx80jBTXCwscX+812t5SDQb6Pe29+VO7b+zKjywpxdHOoJQgOt3HmzsirVE4ImPm7VDOveSKZ7U1Oih1ATCiMLzPMdxe/bsMQyDuHAQCAQCgUA40iBPP+MDTVF3XlQOAAYGzRiICbr/gwHL4+suLZk+RfjdjdNDDzx/8YD5rLl6NJL2Pu2C+eHyR2xM9dkyKjHVNYqNRFEGaR9PP3vAjvoMAHV1vhNOeYqEkIwvCKH87MxrlhWdno8A8OlZnWme8GG/k+1XajDGCX1fbrebYRhRFH0+n8/n8/v9fr/fVLHHa906wzCdbNSpHUH2RkqWMpXYAgKvM3kcWzVCyOl0zJxRsvqo2QUF2aOkPgOAxyPgKC4cQFFDc+Gw47ChqqrDYTfCOtSNWhAEj0eo4N4NU58NjK78e+n3729/4OWOrj5NUTEAfLq5J1LVTadjzZo4nc7tioVAnd7b5les2wMFhy5hr8EU9h203M4QAdo23r6e1Ma/8YmozxgDBsAABtB17HGV3HndPmPiO28EwRh7vd4a5mQV259JCztD/wsEYDZmM03Fve9ZOA5xNMzKYaM16HbfwOfWrYCOw295BNh3oLmqJUrfcggtJMr6Zxctj12YQBhBzAehoDcUgUAgEAgEwhEFEaDHjXmzp7v5/s8/6G2o6XDMin4vwkeera2pF195tyn0qKdeaSjJij8O3Fzpu/HE3ESrpOpQnsEAQG7SgPCU7ZmgjcTv1679watEg54IFBfmXzw9qSDdYkW0iwsEw3wSivdBCFlGOvv9fp4fohQyTDiO89NRLo3xtEyLzIQ40RhVRMlywsG/kxE+EHUErgmpQ0h4aKd1ybKsqqogCHZOGJrrEmM8lX03rADGcPsb02qaLNWu8PozMZ10KdpqNRLG/94adcUAbegAwGN9NtiatGtIKrDcnm5MDi+Iccfn7ctofTyhQ3RgGrhj9zHn7GPO2Y1P6/RzI5UGc4zpk6DRcWIVfz4AGBGyb2yCa7ywDbsXRYezFqZaeen340D9T0uR8+/JtJbS077xQLTFFRZcc1y2aRJFIIwNzc3NbW1tOTk5Y59wmEAgEAgEAmHcmaDa4hHCX66db74IfQ515wzEwWkaXjQ7fHGo2BQ/dKLqoDi7oviPF0xNcSb2Fe/v0ACguW8gzigveeKmqNq1u+eNN7eYrxMNsCWMLGkpyZYGvDyjBJ2RExpxRfPZGEI2uZGCoulIYdEkT+1JyOSa1hRasw7Tk6wS3x1+FOdmY816mbzBu4Ywx2BzekPXdYyx0xlnjQhN06EtkLKSxF7fPffzbX2Wh4f1RGVMIIbyyDDMbtWiPoIeiNGjOcU+AJgKXiVBQTCMqRm2kmQe4SiKnN7y9xgFdiurAUDF3Fb1VAkLvVRZFXfeXvStDj8viqIoiqo6Ynkjxx6z1+XlGgCgIixoYkOFdNd6vGh7hICm6f87Lc/8szCFvuW0bIEfuLVLHP0f4+aQnM2pjJbu7/5yS9vrm6zvR+trAZx9wmL75QmE4aBp2pdffvn973+/qalp7ty5RIAmEAgEAoFwBEI8oMeTgrzc5VPcG6r9aR7WJ2myhgFgfbXIMMhMvqcb+MmX6sOOqm+SLj4789VNsaLe2no1wzCyMtPvuzLtvS/3vLQlgVFZGMmOsZ6lSE3l7rt75ZXXfGan8D33bfNp6pvr2nt9GgBkprIXnVp87MopcQUmwojT2uvKTQ2PPqMQZlnWNN71/Nx66AAAIABJREFU+XwOhyMQiJI6ajAxphMkSWJZdowFHYfD0cpE9d8ozs223M4ammZlAq0zUV0mlPFzuB5jUhRvL2OVqQ+hyHSOcbE/nvf7/R5PHJd8p9MZKhmLouQTMgV6IEuqYnAPvGzhzgwANBUe6plBqTECXx0Oh6hYzPP1NVucvySdLU7l1lX7Fb8EHtiFUqLMidiCNVSPJ33oxx8xULVPx/icu+gZaQ6xGc/zchUMyDX0CYqiGIFJGewcDRqLHUpGAUcNeL/YoEvP7g0kUN7s9TUlsHaa8Ok+X6dobKwL/Pzk3N//p0nRMQDIARWABwC/BgAg0AbT27uuSgKA7yxx/7/3Egh//tN3p8cvRCDY4+GHH37mmWcsd2GMOzo69u/fb/6JELryyiuJATSBQCAQCIQjECJAjzO/vGT5Wbd/3OlVgzbQmgEnrsl+55N+e8R/3Lfy13/c0tI+SLN7/tX6884tfuvrnhhnNp9uEUKnrJx59ILARxurXt8RK//blUelP/m/zsjtYx9W3N2t2FSfTZrbZVN9BoD2bvWB56ofeK46P4v3SzpDo7Rk9qpzyufMLCOP+6ONw50JUGexnVXNlme2JZqm7VigMgwjR4kF1jTN7XaPsQBNsZwcxX8DYSOaYJoOykGInXwu4kJHTGBUVmZmj0+zFI51VzLy+0ev84l75rAmqut6t1ESKkAb2Lo/mT/VLfcN6q7nsP4Y4c8IoUbdejbik/0WLfziRam6rn1e7X9lh3RaTox3YIuVmWSiLj7t+9cVoFgzvina3gPct/0BTZd9MNg9/LBBA+d89mUFu3jkj9ZDaZhh0KD5s9dqpwMkNqPW1KslM9qaaUmf7vOJCv5sn3dFuTAnj9vcIAOArOjAAgDQgAsM73+2+oJ38iMfW08IWTIjj59ZUZZQxQiEGNTV1W3YsCFusZSUlPvuu++cc84ZgyoRCAQCgUAgTDSIAD3OOJ2Oq9ZmPf5pmxYSJOQO8c347s/W3/mL+Tffsy3swJderlu8OndXnXW8T0HGIEXD5XScsWbO6auxYeDOrq5fvVgdecg/1luozwCgG+Mvh/E8ddMNs+778+7LLil77MnwyiPRQqZsbOvf2NGj/uL+nQjt/NWVZfNnldz+0FdV9SIAUBS65pyiE9bMHC9D4cOP5JR0EC0E6BRHXw/dnzkwEAi43W6/P9ZciElsiXDspxNipBN0yD4Aa1vhwtzsg52JeTq7bWfJOwzA3W0ozSJ4XHcKbrc7IcPchNRqURRdLpcoWvefgiBEXlrFgyxW/Nqgb/yOa0pu+XvtT87L/9MjleUlA1MOxXTAEGOZJjmdzt2ahQCdplvfI3d/2JafwuKQzAFDJk9qd7vKh3uWw53OjrZ8fWO08GcV83XUUQaXPknNnRNih3o8AjyP+yi4JWA4HdSAh3iY+qwB90lVwus5Ptjde/Fij6aqM3L5Pc1yQDVe29J91sKMzQ2NANDt0+hUvMDh+8eX3q0hR5Wk0Vs7MQCgCAMcS27/7nLigUAYQQoKChYtWhRtL0VRDofj4osvvuyyy9zuxOakCQQCgUAgEA4biAA9/pxz4uLXN73f4R0IuGNcg6SuSPXZZNN/m/NnpXd6LQZ4Pzt/auRGhBBNo6zMjCuWt/1zQ7gpR5h6U5TK1HdrAPDiNnHGjOQ9e3oB4PTT8t96u9HOmxo+t9489/Y7d5ivZdn4/R93ejxspPoMAK+/2ZA0JS22uSTG8IcnDgAcCN324Au1D75Qe/TC1J9cucztIpGAw8XQdUtVmGW00KhnI8QrmqZpnudDdUCEkKkLxNYTxz4w32lE1ZHTIOouhmE4pUfhbNtDY+w4kgTonCR3m+UOhAzeZTMI2pyNSKhJGIYhiqLD4WAYJkw6jCZ8q3hQF9Enu0JDO//wdP0xM933PlIJAG5nSBJXWvXFrFgPcJbG4slRBGgdQ313f4Btitzbww/RwTlV8c6vIOpzHDDG6V0vWQqVtewpGerWJn613+/H8uGvPrOGdwqzScFOANCBpkE3MDLVZ5+RLFAWEeLruxcNoZuu61Qae3Fekn7BkvTb3mwCgG0N4raG/t+Ir2plqG3eGnHUlDTK3JjuYTqsHopCuXBlepLHViZSAsEmP/zhD6+77rpoexFCoVltCQQCgRAVmgPK+uEWAxiGQSM04HRHRbU0nMhQBqYNA+wFVGkIeNr2lDlGDsZukBYVZTWnJQhAcLB6WMYnDAbGCFkZIaoGZSskAACAx5DmthsRyFNUusfu927/kyOMGUSAHn8QQvdfs/jy+74KbvHqA/dKsofpjT6a6qvtPfvbpR9v6ewV+9U9hoY/XDW9orwoxhVXL5rx0d5NB3ti2SCY6rNJytIi2LMTAMZMfQaAP9yzi6IgtJfzeqOkLDNgRql71/74QbWWrNvSvW7Le1efXXTOaQtJSNRwiKEAMgxj2kADgCRJwSBop9Pp9/tNw26apv1+v8PhUBSFoqjY34WiKG63O6g8KooSPP9oIAhCG5MUbW9JYUGMY+dkuDf32f0Bdst9FHUEhUclJye3+a07Is2T5gr47QTLmwkD7ZQMIxAIeDweQRDgUNJLiqKihUWHPSO6WDUoHK+Zn/zxx027lP4OyuXqFxpYMGI3S5fL9Y1mPfW1r8VGe/b5IFKAxnia0bOPSoHod1CG6ltanh///Ec87fU7CpEUud2PclTK08StPhICnwEAIaTRQiN3TKG2DgBoGHTPBtVnDTMU0s3xBsboue20vXDkcJ7e0HXbGXmaptFU1LyFNAL90LkRwBub++fU46rPbp667LQlQ6gVgRADiqKIzxuBQCCMBBro1g9XCICGwU8WeFKanikGDpgPMTZMKQOq3hewu54MAe6T7H4meiKrKTFAtzeg6Xaf6yjd8Ip2a5IUMDo67abxSOLo9g67hdOy42T9IYw95GlpQpCVmXHxqqzgn20hI6gY6jMAeP3a+cdXPH/HiS/fecwTv1zy7C1HvX73yTMrSmNfDiF0ywXzM9x2v/1uybjpF3Msd2Vm9M9W5efZjvG0h6IYhu1ecU7BcG00Hnu1/s6H1o19XO3hBBU9wCdsYGZ+tabRAcZYkiRJknw+nyAIkiTpuq6qqikxRzuhoih+v9/r9Xq9XvMkQ0hbZxNBEOodmQHaeq6VVuXYw06X05kt2TUnrciIKnMfrhgdzVH3RU/VGISmaVVVh3DnOp1Ot9ttth+fzxcIBAKBAELI5qkE1gsACOCslSkffdSEMTS19Vs/V5T1f4kMwrF7MQlZ+7q4sLIgP/6ajH9vi9Tc8XRaLC8prqCs5XiE8QxaXFqWF/fkBIxxrvyp5a6DzCpVVY8Q9dlE1w1EMTikxVIo/E5hkBaMduk1UryBof+evvBl2+NfdF17dP9z0ZSM8O49dAR08kynotm91n3fm0tiUQkEAoFAIBAIhLGHCNAThUtPXeTm+7+O6lbr3GuWfLO3HgCcTmdOVkZqSpLNGF6WZe+4eH6mYHcY9l69kZ1l4QzQ3tFf1camBLLPD5/jjh2UfuuxJ6vpYS+x+GJr9yU3vm0nP96Rg67rLc1NLU21LU31He3WZglBYuiwYc1SlmVBEDDGYdsDgYHsbZqmKYpi049CVdUR9PJ2OByCILhcLvP/2IU9gVi5QE2mFhcmi11xi+WqPcKR5w5ZnJ0RbRcy4t+MQ9OS3G53IBCIDJq2vwaCo+TSXEe+G158M3xdSGFR/2S7jKkY8yIMw1Sq1irz0gy+uDC+RhyICCyYz8ll+bkAMKUgb3Uqla4MGCPweqAU+07MF0rzhp278MigrbEmzNTYRELp5nTF2FdpvMAYmysD3LjV5iGiMSyPC7+KW/q0Rz7t/9Gp7og1E79lf9SZAJaGP10+YDVz0ryUkiIS+08gEAgEAoFAIIwDRICeKFAU9dD3F5ivVR1mVdhdL/Dup9HjB2PC89wfLl80MydqarVQNAOOv3S6/ZOXFI+ujrZz1yDVD2M4fXX68E/b2ate/7uP4pcb5lU6O3patgS6vpa7vg50bmw7uKOr026E7FhysG4P9m7KdDVkulsz3c2pXI3a/VV7405VtV5QQ9O0ZRAaxhB2iGEYPp9PkqQwzTqsmBnZGlcCHlkEQUAM28SnNjqz6h2ZB13Z9Y7MGOUdbPzIa4TQnJL8QjWWVJ0ltk8pOBLjUnmeN6Ro7hnxoxqHIEALgiDLsmWkcwwBmoFBc2wMUqt3dx2os6i5mN7fYAxAMQRoh8OpWrk/Ow0lIzXF7Xaz8d4ZBkiS+yVmVleOzeLzsgdW0ngEYVl54SkFnpPy3KcUeI4ryZpRlEdiP21iGEah9KrlriZ29RE4T0lRlFurAYBGbZplAQ0PWq/Qo6UO53KmRZidqOYcD723yXrOnqHgqZ+t9Byye0YIfnLBiuHUikAIYi7VGjJkvR2BQCAQCIQjEOIBPYHIzc05b1nqS191A0B+rnN3pdfOUbIy9JEwRVE3nbuouqb+D283xX0W3nxQPf743I8+sqV311rpMiNIW1t49Fnj/vC0ikOjukH861P/+8HlK0fED9ocYxiGYSqtCKHqqt2lWb6QOw+neySA/f6OGp2r8HjsxrCPNs1123NTwj9kioI0QQRxy4F2d2n5rLCqIoS6vI50T/hRCIHHqVnGC8bVcWRZRgh5PB6vN87tIElSaKrDIYAQcrvd9XxGDPPcSAqzY8nToScvKcgrMoxdNQ297kExv65A79z8TDa7OLHqHi4ghED0gXOIU1aJKqqm8Uu0vTEcM9KpvaF/IgRlRa6q2vCOLiudk+xlROkyrH9/Z3v683Decc7UX/27KvZJsF9MQzA3N93lsjZvIcmvhoZR9TiymqBvZpb5JLtOfIcTCCGRKTWULXn0PssCDBrkWr6tIwvAwj57xJmVTe+ptdjO0fD8r49mGIbj+mfZ/3rNHOLSSxgp7r///ldeeWXIh3/xxRej5xtGIBAIBAKBMDEhTz8TiyvPXPHaxnc0AzIKBYA4jgcmF327ZJgXnVJa9NgPCl767Jv3v4njaOnLT2eYFs222WKQX/181h/v3T3UCtrik09bkqamBWNK0pPZzt4h5iV4c13bqsW182bFsdKODca4saE6J6nLFDMNAIyhtddZmmU9JnewBuC9bQf5rIJ5465Bt7W1ZkWoz6EUZ/qlzo2OtMVh43nOXQhgIZkxlIVkE5qZMAYYY6/X63Q6TbdfWbYOdjMMw7T1AIBAIJCQEm1Kz01cKqv5ElKfaU11OKwzNVtCUdTc8kih+Yiz3QhjzGLBKIqK7ZwgyzJFUZYytAIegJbQLasWJ0cK0Nf9YE6w46YAR1su4Ha7v1Gt7GUwLjzkSZKanHzVipTHv4waOJ8jUMtnlrGsrVUsBPs01uwsoyxmNGXk6dRydH0U851OWHS933VZBQcHcexHMIa3d0dVn7+/Jv2J/3WqIxFEjgA+3W0xN/mTU3KPWTrD/CVlGOaui8u/+KajrDRWcmYCISFqa2u/+uqr+OUIBAKBQCAQCIcgwSATC4TQG3ec/NdrZy8oT+XY+EJYSYFr7hzr9bAJQVHUBcfO/tu1iy5amlaaHnVaokfCP/u/+UM4/2irzyY/vagw+DpSff7OGQlEmN78wPYEciBa0d64Kze5K1TMRAhyUuJEhGUkyWLHRlUdZ4GDxwfjl2Gx2LlZ1wcpy54kazU2yeELC/YRBEHTEggkNLMUmubR0QR6n8/n9/tFUUw05JMXPPWOTA1RLVxKAodhPD/NVqwrYYiM9EyMy+WK3eo0TbNsPB6PkEGHz6yU5oaf6oyT8tpCwttpwNG0dTHK7G8mBEIrsGT2lDvPKk13hX8OKQ500wnZt1+0kKjPI47f5y3V3rfcVceebGfO7HBFlmUNnByKb36tA2vZ7nOS6L9cMWfZvIrfnjms+d0gM7LZTt8gJbs4g3vqxqVrl80M/ZmYWVFy/YWrRuSKBAKBQCAQCAQCYWiQCOgJB03TJUUF+bnqG/8svvev//1kfXuMwj+7Zs4IXppj2ROWVpywFDDG9U1tT35W39AdHqT0xl4lJ9vR0jpa+Zc4jlKUISq/jz9eCS7rpF4A8NSbdZbbV81P+WJbeIyhouIvvtq7ZsXModWkt7cn3TPErIwODuu+rSI/2+Uat8BYF2dLGnZyhtS1zZW+MBgHTdO0V6ZdfHizQQgcDkfQ+oDneb/fP7S4V5/P53A4KIoyk2JFEpnbMDZuj6eBTwcAsFxyH5083etyknxuI0GUr8tgRyyxpOkkHsN8wyQy/JnjOI7jprAWiuTcot7QP1OS2KJjZoY2fRUojuMiJUuXy7UpSvrBuZnhjueZGel3XZLe3dPb3OVr6ZaKM4WsNI9HONKj5kcJjLGj6V+W/cdBbTq2llWPFAzDCLAZImQzEBCMphglN4lHh/lvZAnUVWsLpxTnmp1zQV5OkqO2LzDczzPNMXCGU+YlnXfM1LRUi0nEEUxRSyCYPPjggw8++KDNwoFA4LnnnnvwwQd37twJAMR8g0AgEAgEwpEJeQaaiNA0rWkax3G/ueG4H36376EnN376pbUMXVExKktKEULF+dm3X5Ld1dP7/qbaD/cOjCQvX5561LXn9/X5331/18N/s/aCHA6KYsyYnvyzn87v7dMfenhbTW0cwSiUpiZp5lEpDa2DLBoKsx0NMeXySPXZ5K7H961ePmNobhhib72QgDFDODQFmviN4Vg0XoaV9t+0k9NbG/fmFg4o9YpmIUADAEsPiNpmIHNcNTAapouCacpheRL735ogCPV8RvxykZcwjJLcrPjlCDZAURRoTUije7piu6kghFwuV7TZiFDslGEYJmia4XQ6eUYvYL7kkPWBLlYKXUX0o18u7UTh0dMBTCGEgnMtLMtyHFerOyxFd4ehpqVmW14rNSU5NSV5iBNiBNt0HNxdgHojt+vA5NN7K2H22Fdp4oAxVpGri549VXkpdskPK/tvopwkemWZY9WcktSUcI/yk2e4/r11WLkiFhfx2cnMdSfmLKjIS0vxRBP1WJYdd1crwuGHzcczWZb37Nlz2WWX7dq1CwAYhiktLX3++edHyZofY3zXXXdt3Lgxcld6evpjjz1GbNAJBAKBQCCMI0SAnqBwHGd63aakJN1843E/l5V/v77pny/XBwvwHPXMAycwo5xdKi0l+aLj5114XP9CcoT6s2Olp6dcevGqC85b9vs/fPiBvbSE9tmzt/eq76+bNTPlmX+eJ8vKs8999Y+nq20eu2Zu0nMfDhLrY6vPMcAYurq609PThnCskxui/XQQnjXaG3dmF84b5nmGBo4ak2pBVpJXkkSnsz9y0wAewGKVeqqrt7t3JMPQJEkCq5xyZhONm5CQpmmXyxWAId5BJdhLU8LQjiWE4WBpa18DQ7fjhBM2khcEQVVVlmWDDcPpdNpRn81TmQHLSR5nOfMhQrEiNFlKPuvk8tfeawKAP/zfnHraoj3sUF0pPF/BSJqmUQy7RXEbKkS7vVZlkzjN8UTX9XzpvcgvRwfGAJZGR2LuwVAwxl3MnBLl7RhlFMwHiq/+xVRH8JkhWsmZZTmwdf/QanLpEuHoxTMZJn7vTZJwEsYLjPG6detuueWWDRs2mNZPy5cvv/3229esWeNwWCUAGLnrWv5uDidFM4FAIBAIBMKIQAToCQpCyOFwmJGeGGOaoS88e+nF5y4zV4iP8YAqqDuHwbLsbb899bc3G5s277njrq19faqqGhxHOXi6zztcBXb3Nz2r1/7jX8+ddvVVR59/3sLLrnijo9M6+1wo773bCMyI2fJ+vH7/+acPRYDGeATirTKSAi1NtTl5JcM/VaIYBqLoBBZH677d2LG4X/nlswAsskLJ6iCz2pHKOxd5HtOCg6bpaMMwE13XMcatfCKmz4cukBfoKChJwFKcEJtUwdVquQMbcduJruuyLIdGGQOALMuyLDscDjMo0s7A25yQME8iCO4p7HtxD2lCJ/z46sIfXw2KorxRFy2cH/UYzNeKB8ByXmYAl6GkphBHl/Gkp70+wm0bAKCZXRVA6foRbb8BAOBwOHKV/7HYOmwZY1SHluVWrDJnUeIGHRfmZHD0AWXwx8rRwDEoxUF1S0ZRGnve0uzS4gIAkGW5pa3D6eTTUlISsi8g5huEsccwjE2bNj3wwAPPP/+8+Zsyd+7c66+//vLLLx8z1/4HHnigpKRkbK5FIBAIBAKBYBMiQE9oKIpqbmv/pElWBuI0cTEtzcxJyUxLmSCrSimKWrpk1luvzQrdWFVVe+PPv+jsii8ZxwBjuODitx/969o5c8refO3SyqraO+/6unq/hbgZpLHR7ygeMQH6nf+2/3/27jzOkas6FP+5tauqtLbU+77O6pnxjHfjDQxeicEGAyaATQgkD16AJDgPXsIjecTBgfeSXx6E8EkI2MEOxmDAgMFLjPfdHmbzLD09ve+bWiWp9vv7Q+Oenu6SWlJv6u7z/WtGdat01a0ulU6de877byxmR93iArDUEDwARHwjlDas/i96bEatCnv8nG2HcF6BaZ/gzt4XUf0B8Gq16JdSslw+m4iaTCZ9Pl8mi7lokiR5HoFhmHQ6vWiVj8KC4JQS6vhsfWuZKldi9Hk5CTwPniFiTlg0k922bUpppmwRACiKMvtLz9zAy5PP50skEoqiEEJIHtXAR4zGqsbTXU8FQQi5qWlmfvnmglxVv4SqPWg5KPGnPRszU2AoYRkCyeSSSkasdzxLVWfAc9Mg2RNovEzWpoaOP8WBbruCUrnTHyzL8eHFMMw3Prrzu79+s4zYhmYePDD50ssTcwf8/W9u8/lOJ4qKothQV1PohFc0zxQhT8PDw7fccsvrr7+euTgJh8Pf+973rrrqKlVd1SVTJfIFASGEEEJoLgxAlzRBEJ4YNKyzqgSQHkfuGTC5geFzg3RLfVVpXmW2tTX+/KGGgcHR737vjcOHp/r6i+zIBwCf/G9PfvWvU1desaO9rfGef280TXN4eKK7ZzoUkqoqg4ZhPvyLYzMJ07Jc23YoBV3i9x8rsrjwPJZdZDtEQY4B9C4+bg7TJgI3Px7KMjAyPFBZVVvcNIoWq2oBff/CxzmWUupdIbr71PGW1q0AwPO8myWqPK/44NLfuoQQzxznzJEXrd6QZwC62Y1XVVS8Nfn5lUzR0jEM4x2ABvDJspbIes+JEOI4jizLmaCzLMvF3dIQRXE2bE0pXfSNYblcqPGauY/UcdZ0kWcLAICYk/T5illsgZaL6zpBxrvXAqE2ABiGkU9BmI1KluVG82HPTX3OdoEklO5/VOGt6jIswNhrkyO1cvut2c7zXV0Dn/ncf01NZV0X8K1vP/enn3t7cbN1HKfz1KldOzZ1zW60yjo7O7/5zW/+67/+a+bTpLq6+tOf/vQnP/nJSATP7QghhBBCABiALn0f2Fl178HRhY/bwLwchzcODl0WJbXVVas/sUURQmprKv7qS9cAgOu6IyMT//j/Xnr6Ge+l9rl96a9e+j9/z1x4wTYAEAShvr6qvv7MS/6jT521bt1xnK99+5mnXpta2vQBAN5xYVlxO4bC5TTR6/m926WE8SosuzD6nBGRBgBWOwAtiuLkJBeUPWqeZgsa10Zm3hpAHJewzOKxXdd1MyVlip6nZ2hjtnbNokc2DIOXbIvkWBJLm9xETVUp/n1tJBzHgVVMgYNMz0BKqd/vBwBN04ou7ZJ5KxJC/H4/dR3dkSTWO4Hacjmj/KPz3jTtTQ0HT3q3M10US523tVUXty9aLvHpKV+WTRykE9nvgmwGDMOEaQ+XpYhMHXvY8/EI0z84eLSsZuu8x23b/uznH359/2TuJ332ueE//VzBU6WUHjrVP5Rybty7ffHRCC0ZpTSZTP7t3/7tXXfdlXlEluU//uM/vvvuu9cwQcSyrGQymVmaxvM8x3Glma2CEEIIoU0FA9ClTvb5rq+TftmXJRQC7BPjEJ3su3ZbTSn3tmYYpqoq9ndfvcE0rUQi+ad3Pnb8+ExBR/j8n79wz3eV1tbFSx+wLPvF/3bFJc8f+tt/PVHsfE+76Z3bituRZdmxpC+ieiRjDs1U1ASHCzgUczpQW9xMiqZEdngmQWcztx2U7eQVgOY4rqAiCQuxLKsoimVZmcZxDMNkSj9nqjEsWirUcZxqK94jRj23BpLjOxpqWFZZygxRPhiGoWaKCAVXa2VZNvM1e4kTMAxDVVVKqa7rLMvKda1D0OSaujV8uF46LHNnFnCMGdVy7bU8N/+mBcMwFa42UnhfSgbca+pU7JO25qbGByuzxGdEGicktlxl69cjRVFs15dtmUIOjHYC4KwAdH//0Ic/9mvTXPy+I8cVHC9LplIPd05TYD+ytxnDbWgVaJp211133XPPPf39/QDA8/ydd955++23NzU1re078Otf/3o8Hk+n036/v6KiYvfu3e973/uwJDpCCCGE1hYGoNeB2qqKHePHDqWzVjMcd4V7D41dX8NFy4rM2F01gsCXlYW++52bL73i3z0HXHF5xW+f8s6SvuMPn3jqidvzvKa//OIdrY3RT/6vFy07a9Sgpc73l5/a47jund94bXx6fsnmL3y0KRwqvipruGIb1V5bONmCos8ZQ0MDNTV1Rc+kOKIo9g+HqkLFJHUyWaLPETmuaWcCbUuMPgPAbFqiKIosyzIMk1n6yvM8z/O5C0Bn5AgqtVZEMSy4aqie9AxAm+EKNpXKVgZ6Gb/hz75bJEl6q52mj23YNwr7AGDm1MFG38FxcnFN9uaTFzRV/rw7kXWNgBeR2tc2hVetLRXKQaJTkOVXl2DqN3P0GQCA0hrrmSL2c5mz0spfe+3YZz73bJ77/tWX9hb0XAffPPa6FQJgPry9HE/daKVNTEz86le/+tznPjcxMQEAoVDo0ksv/da3vlVXt9pXa/NIklRfX68oSiQSoZSm0+nu7u7jx48fOXLkK1/5SraPm2uvvdYoA4/EAAAgAElEQVSy5l8Gq6rq8/kyL7BkzZ6cp6eLXIRUUpLJ5GyvlHVq9jeyAVYOZV5Lif8J5M80zRyvhbhmuLDjFXBd5Lpu/olUjuPm/xGeT5vxM4MLWXTrUheAQrZLw7PlU75v3vACZuIWMHhFr1cL651UyLRdt4Dfo20XNNhjPXcOmqaVcscXwzAgj0XeJQ4D0OvDJTs7xl47MeLkaq/3ywH7svRQU+06KBfAMMw//cPFn/ns8ws3ZaLP115T/civB+dtsm365a888tf/67o8n6WmuvIX37mpp2/gf/7j/tHJ+WuHt7eo3/jiOzKRph/8nxt0XT/VM/Dbl0eHx/XL9sUu2tsiy9kWZOeF47h+rbLKX3C4eaFUcm0uRmsbOkb6D0T9BRfV5bIEoC3nzBUFx3EFXTTkljkdZ7AsKwjCMmTFmoaiLKmtHMqfwni2rgRgOJ/Pl4kOL+xauRIpZqzqUeY70LRzeKqyocI7WT5DFISrouS/xrNUST8bQ91dvNba1FjsNNFyopQ2Ma9k25qGEEDpXoyuNEVR2swfFbcv8TfP/vvZZ4984Ysv5L/vtm2teY50XfeJN/sGnRAAvaFWxPM2WgV333333Xffnfn3zTfffNddd7W0tJTCSsRPfOITgiCIopj5fLQsq6ur66tf/eqhQ4e+8Y1v/MVf/IXnXlNTUwu/pcuyDCsczlhG62Wei8IXUmrW7wshVtI38GTeo1dw0YYjBFya90cz4QoJbq+YlZsDBQEg/yC7XhI/jpKysj+QUv6TX++h5wwMQK8b797T8v1Xu82c56unJ5npVPee9sbVmlTxzt2z5Y6PjX/3e8c9ty6MPmc8/l9DH/3IQEtzTf5P1FBXc+/Xa8bGJ1/cP/D8GyOGSRWZvf2m9uamsworS5K0taNla0dL/kdeVG1tw2j/dJl/qXm+PL9mf6cVteeMDx4IK4vHoE2LzAbsbYfwXiWtFTHFsv5M3FmSpHwylIsgy3L+aRc5PmP0Qu6voiXy8Wy2N5kVqZbdfgCwbZsQMvdXtuzf9mVZZpSQ56aInHUNyqyySOT3VPOFnrFRkLIlTfio1SHZrXXVhOQKZ6PVNNj5SrPX45obVpmpjXG1VzSOFJY8MsulJBA9vWLgyd8e+NJfZQ3xL/Snn92WZxazrhu/ODGepBIAXBCwa6obC58pQgWbvYARRXFkZOQP/uAPCtr9iSeeWLRKWBEIIcHgWUv3BEHYsmXLZz/72a985SvPP//81NRUOOyR5tje3r4wAG0YRqay2bLPcxnNpjKU+Dzz4TgOwzDrvXyQ67qZ67QN81rW71uLsW1pJN/7vpQVQCjolZL844CsozFuvtlUDlfIeu5C3mOFvR8JyTP9uQgpy03b+V5b5j1w5RX2A1ypQ6/oiaXET1wrceWw+jbCa9gkGIb5wM6qe7waEs51QPcl3+y+dGvjqkyqeISQj99+qWm6/3FfZ0E7/s1Xn//ev72v0KeLRSM3viNy4zt2FrrjEpXX7hru2x8LGIsPza6yqoCA+7KLVp8zPNQd9Y3kPhtPmVWzAWjd4nhu/lpOACAr/JkBAD6fr6BFfznm45TO5/0mEAmHJzSLMB7XvpRhXDVE4xO2bcuybBgGpdR1XUVRilipSgiRZZkQsvD+hyRJfDBCvILa1HX9/rzqOwuCcHlbzdR0/I2RxARzJt2Do049Z3SUh1U1Uuic0YpyXbeRPuN56TvotLUxr5RyKsRKUxSl2XywuH1H2D0RjgOAxx7b/+W/eS3/HQN+7r3vuTCfkZNT07/qSzvAAUAjl969ZUtxU0WoaIZhPPtsvoVl1srevXuDwWA8Hh8cHPQMQN9zzz0LH/zUpz7F87zn+BJBKZ2aOn2PMBAIrN9AIQC4rjs5Oenz+Xy+Ja2/XHOpVCpzbaaqqiDkWrlb+hKJhOM4oZB3XsI6kCogdLmi388YhoG8p8IWOjj/aRAG8j40U1homxBC8i1RQUhBP26GKZXgbIEB/IJeYwG/x4JO9YVGbGVZlqTFU47WSmYpcCkst1oKDECvJz6f7/3twQeOx3MPO2n5Al295zTXr86sikYI+aNPXmaazgMPnsp/r+MnZuLxRDDoX7mJLa+K2l0j/QdigSLzoJMGGwiu8XmwsqoxlYzR9GGJ9/5knUiIVTVnMsp1WuGH/oXD7DlFvVYoplPQZ5KiKL1ZOhACAFu6tz83IEIIk5yhfo8vus7kqBwtt1MzhmEkk8nMrzjPGt8Ln0WSpEx5FlVV5x5BlmWhrJKRvFcIpga7obkp/ycKh4JXhYKO41i2TQBYlt0Yt6w3pOHB3ibifTqKMb02+AqtH7dhKIrSbP2yuBOhQ7lAw2UA0Ns74Bl9/v0Ptf/kZ13JpMfP9r57b8rne0tnT99zcR6AAQA/WO86F6PPaPXs3bv31ltvLXr31U+wyoQCN/l6DoQQQgitLfxKvM6EQ6F3VWm/GTq94owApV63o97QhNjIaFVF+erOrmCEkD/5zJUXnl/x+S+8mP9ejz3+5i03n79ys1pehJCK2nP6e09Uh6YK3Vc3GaVsz0rMqlCyolD5vOnpSSvZV+Y/K6F7YDJY19gx99tURWW1E+9f+PVK5KzZyhsr8e2LEFJQY8M4r+a4BV3QDWe0dOWysLD9qD3UHapvBQBGDoCmwVvrbYsrIK4oimfYWpZlobyW4bOm6rQ0NRbxdCzLruuErE0ikno6W1JHmB2OM81uCa1+XD2Z6DOfpTb7okYjH4xwnK7rt330N54D7r3PuwDX/f9xbSSyePvfV491HTaUzL8J0Pef21jcPBEqzh133HHHHXes9SzyNTIyMjY2BgCxWGyt54IQQgihzWt9529vTo11tbvk01E2z+gzAACQR0eotkbN6wpCCLnwwu3/9ehtqprv7ZCe3pkVndKyI4TUNbQ7vj26lesvbjxVqcGWU6OhoelA73go7rQqsfNKJ4BFCAmHy8prd7PBC9jgBQa/E9R9bPCC+qYt86LJhBDL8X5nxtSJzCsyzfltIZdOUZT8cxVFUdTYXKnl0tqV3t6cAoEAtc7c26COJdpGJvoMAKysLvFvYW7KM8dxZzWulOQc0Wetv6uUy4GhpXBdN0hyFbYa4fZuwpxBRVGa7V8VHX0+5l4ViVZQSv/yy485TgGLXf7tO1c11FfnHkMpfeRg92z0GYDeuiWCKwwQyiaRSHzta18DgOrqagxAI4QQQmgN4SX7unThjg5t//GTpggAADRbTZ5Huybfs8O3LkInkiT95pcf+eEDL/3zvxyx7EW+r7ruuqzIKQiCED2vv683LI1Kwln5m5TCmBauqm0AgHkNZEpWpj264ziu67IsO68a0WQyUBn0qBXDMQ7HcY7jmKY5rwbCEkmSRCn1+/2apuWu7+H3+5PJJMMwbo5iVpQG/OumzMuGUcm6mSRoZ3o8UFY+txwz4QVBEDKlr4pjmmbmZJi5UTGbLK+qKl9WmW0v6jgtjQ1FPykqcUltJke5zQSpWcpbbp1SFKXJeoSHIm9gT7rVjR3nAkBPz/BzLyzStWIWIXD/vdfWLxZ9dhznl0cGp+jsL43eWO8LBgLFTRWhDaa/v//ee+9ta2vz+/0sy7quOzEx8Zvf/GZycjIWi919992lk9OAEEIIoU0IA9Dr1Tt2t6dePz5kiwBEBUsDfuGYBOVPdPe1N5V6MegMQsgHbr3wfbec99un3vza11/TtKyprBddWJttU+mrrasHqNd1fWZ6nKEaUMdllECosipUugXvZ1mmOTXRw4FGKbgukSVL4l0GgAJoJpM01WBZoyT5AED0RQA8AtCWw1vW6f6Ey1sGmmXZVCpFKVUURdf1HCUaHMdh1CBH7Rz1NwJmgmGUbFvRCgn41cnePpuwwQqPxptLTHLM3PMAgLm3PSRJ4ivqsu1CKZUtjfFheGvDMoxcRXuG+IsdY9lukq0Lsiw32b8WIFnc7hoN+9o+kPn3X3/1uTz3UhTuvntujMUW6c9pWtbPj44m6exiBfrOKq66sqK4qSK08di2/cILL7zwwgvzHt+xY8edd97px9vqCCGEEFpTGIBex27c0/aT1zrHXcEz+pzxYkJoX805LRnLsm+/asdVV24fGZl46KcHH/p577xI9BWXV15y8brvNSRJklS5zsLoI8P9ZdJAmXeTNvAJrk+YofqBiSkxEN0WjZU7cY/ekiJn+HyhTBe45WXbdiainUwmZVlmGCaZTHrGuFmWJQA6yX72o7Q9tj7y0Deehrra4SyVahh/mCyW3p7bvIx7lmWFQJgw3hlhlFIpNR0Kr9vu5ygPOfqn083XsEuSpHrnaYEWH3M3q9+vMAwApFLpo8cWaZiccd01Nde+f/sboxo7ptUqbHt9teeyLcMwfnxs0ppz1fq2iNtUt84+RhFaUQ0NDffcc8/Q0NDIyIimaYSQaDTa0NBQXl7OZD/XIYQQQgitDgxAr2OEkPfubb3/lc4EZK1eSoGcPNVdXAetNUQIqayM/tGnrvzUJ6muG50nh/r7p2RZ2LO7we9X10VRkQ3GMIyob2DRYYRASDZo8o3BZJWeUhvK5wcyCAFV1FMpQild3t/j3LhkKpUihMiy7LruvBX0hBAbGInaw3zWEHODG/f5FlkJjlYIIcTUZgTVI+mYVQLZuggWR1b9XLDMcxOlVNFnghh93ujUQBgmvTe5IORfU34D4DiuAt6U6VjRRxgku8vU0ymWhw71LTr+4x9rDextThHh0FvVPvrj8MrB4fP9ZnvTWXVvtGTyJycTdE7bknN9qW2tW4ueKkIbEiEkFAqFQqGtW/GvAyGEEEIlBwPQ6xsh5IPntd77yqk0ZC3r9kJCalnNOS0rQojPJ+3c0bRzR9Naz2VTS4wfDqv5DiYEKtShrqT3Ys+QL57Qy1OpZe6Qads2z59V3yOTZ62q6txUaFmWR3l/mZUwmKzrBqqwS8+aomkNvALQAECytwosCCFE9Qe4mEehj9Mmh4JVVcvyXKiU5chxdohoW8sfgFYUZd69t2W8p1I0URSjbF+ZfXTRkQN2ew13fOHjBpUjrW+f/W/u+4tf/9reE3IlELLwY8AB5oWERLq625obTz/iOA+dTMxtubxD0Pbt2LboVBFCCCGEEEKlAwPQ6x4h5La9Df/xWree5bfpAHn1eM++duyjhYoXUqxCd2muSHg+Tgj4BDuVAk3TlrEPISHEsziDpmmyLBNCMvFoSmmFFe8Vo1kPRCnPZ41No1UQCwdnsmziglGYypKwmjdCiBoK89GsSe6pkf6WuuyxabSBxMf7slX47uavcZepADQhRJIkgXWqrOdl66wUY5eyJ/03A6ValpJBq0BV1TrrCZ+d11+WZ/TZoazV9Al+TtB55856QmDeCwoG+S/8jz29auxEjgawAABwRGPaAACAUvrQkWF3zuXNFjF9ya7t+UwVIYQQQgghVDowAL0RsCz7wd319+3vM7LkQR/Wpeap6QguJ0elIapOGnalpmm2bTMMsyyFVh3H8fv9iYRH1DuVSvE8LwiCaZqWZY36ciU4Ezdr90K0Ojg263oOYJhsdxryPTjH+YJhPpK1cZljGs21WIBlUxgf6qpL/dRz0xB30VJK1QuCIAkMRw0AlwEr4HQHnZPE69TCEKfNeMCk4nH+GoZhdD1XU8SVoKpqq/ljBoo/CTuUmaq6w3/2fTtJEh9+6Oa//bunu7o1oLSi3HfLx3f0c8He/I45DWJC0/yq+syx3iQ906G3WTAu37Xum0AghBBCCCG0CWEAeoMQBP4D51Tfd2DIAu82I4/1pd4fCmL1ZFQKCADDUADQdX0Zk6BzxCUty+I4TlEUSikluVrxhJNjANlyItFqMC0LBGnh49Sx7bGBpUSfRVEUQ2VcIJJjTBnrELI8hT5QKZscHajRfuK5yQRlmlZRmvbcmpskSTKbrrYeF8y84tc25Thip2iwghyZZHctHODz+XRdX4nkaFEUg+xUjfnIUi4LdKpYjR/3Cx5/MpFI6Ot3vxsAegaGfjvB9Bd45ONDE+2VcMo8cyqo4Yyrd6+vtsoIIYQQQgih07An8sYhSdIHz6kC8P6aqgM7NDaxylNCG0bazJ6UWpy33qfpdFoUxeU6au4+7+l0etFG8G0Ndcs1GVScuJalPjgh81pKFkSWZSlalTv6TKdGfD5f0U+B1gvLsirj92fb2iNcW8Q7za+qTb6THe7DjdavBcg3e5ojNgCEmNGEsHVhzrWqqizLLnv0mWXZkMp10Edq7aeWEn2ecqvclk8IXtHnWb99s/e3E8Vcao6azBPdU7P/jRDz+j1tRRwHIYQQQgghVAowAL2h+CTpY7uyNs56fWSZ276hzWMiuXj9FkrBdfONZoTleCYf33EcWKxjVZ4opblaijkOy7IGybXsg7P03MEUtAqYLG8GwrBSUdFhhmFUv1+samTlXJ009dGBqnLsP7kpiKe+7fkmG2LP6xTek9AKK75BCFFVtc38Udg5zkKRfQvrzCc47szZKXNMsgItChVFqReONZsPc2As5TgnuWt87R9i2axnVMMwfnhgsMcq8v6i4FpxevpsXMYYt+xrxSVcCCGEEEIIrV9YgmOjEUXxw9ujPzg8Rhc0+ZmiGFlDRWpsarWnJzy//o/FhVjQzPzbBYaBvGoo+3id52XTNAHAMAxJkpZe/NQ0TVEUDcM7qkIpFUVxgM9RXoOeG1OWOIfS5Lru5NhQcqJHdUbSTIRK0erGjhyRo7XFsUy29xARfeBV5ttjJCEAoKp+IMCFy4lXTY9ZlFJztL+prrbguaJ1aKBrfzPxOEsMcheNGWWOk/VExPM8x3Ecx2XK/ViWxTAMIUSmY1XG44v11cuKUjLsNBMxYps2ADAMo8hywD0Vh6bEckefVVVtMx8kWVZKmVQUvH4y84e5otH0ydqc9+rSuv7A8Thk6UuRjxhj9DsKAFSz+g3ntmP0GSGEEEIIoXWtRAMQaCkURbltO/zw8Oi8etAVzGp3N0IbyVA8Uh2aXPj4bPSZEOA822zlgef5pQegLcvy+/2EkByHumLsHw7x145Eti3cVJaeEis2WgiSUjrc+XJD4lc1cx81AH4Ho1yH1P4eUSq5ihOq7Itn22aZc4uGE0IyYSlFVVl/2NFTjCBRy6CmTkSZ4QVGyauctznS11iPpVc2hVQy2eQ8vvBxCiRBahzHO/dZluUQ7S6333BsjnfMU/Y5Bgm3MS/1mLta+FcZcIqOPgMAIbSKO9nJ7gJI+1W1xn6KWtDPXba8AVdCiF+Rms2feEafKcAAc4FStVcY+FaOg+hUGVaurappzH032zTNHx33/iNuIjM91O/m8fNSFRlmoEkw3rm7Y9HBCCGEEFo9gdos97I9FfIVj5OB916wSIHats1xHJm9imDlAo5cEAIyn3epAArxJS0qWxsCx9RH8v0a6Lp0anSZsyLQ5oQB6I1JUZQPnVP164PdDmHTlKEAlbx7cRtGWFDxautbtbHXZLHIEPNCgiBkMqCXkWmaIRgOi26aK0/op+t7ZPA8X5V6hgDstB6pHT14IPxuiz/rQ7cmstF6D9q2ZRy6t9Ht8dxabh+jR742EPtArG7LKk8sN0mS4lnKGPCxatey/GRY0zRZljklALxIGIaRZABgZH8RT2ePDWD0eR7XdeOTY+7Iq8TVXWBJqEUtbxPFXFnk6wXb/6BnF1ICtM5+5gR73tyTBsdxssSrTm+5vZ8BGwgwYAJALXuMJwYAtPEvLX1Kuiv3+W6wLEuW5TbzRwb4e8VrBZpK6MsWgmYYJuyzGkzvpotJGkxE3xOLRAHAoSzrdR8xQcvi/itjVY1Zi3y9xTStHx6dXLgGKyMg+3YT63Vt8fVYz8xI7ZJ55TnYdRAhhBAqMckhgKxlD+eTc/Vfmc9Ng+O92JEA8ABgnj14ZVAK07qdZ4ydybayrLQZljM0lm+B1pXoho02JwxAb1iSJN2wp/WHr3eX8c65NeFgoJjQDEKzCCFiaKel/Y5nS/cTyDCMCS7mkwQ22dMGJwbVt8tGj80FDC5arT2u2IOZYWHaf9nkP/9OvHE8dKarlU/aCPG1Wa7rMgf/KUKzJhMDAAFaO3Z/P31/rH77qk1sUQzD2Okk5/Mqh0IYRhBJRX0woBFJIYu1lFwUnRyuq6le4kE2konRIWn4N2Gnxzf3Wnp8Px2H3uDvVTbvWbupLYPpqYkKZizbVh8dlX2SZTuO4xBCBEGosp73mwMLR/J51KmYlXQDMjOTLZZMARjisk4CeH+r/sAJ8WYgrOwMGkzEtq38nyUHjuPColZnPblwk0vJkHpTtLol/NYjU5V30OHHo6SbALWooNFoWt6hxNokyZdPfXTXdX98dNzN0l+EAER418nvA2S7pF96DuY+I4QQQgghtEFgAHoj4zjug/uaf/z6yZ92J0NM/G01SiQcXnw3hLIQBNFQdjmp/exytC9doZqetm0nNFsUaw2jz0n0VbvPej870N3GzxMjZa+UfdDlREmfEYTKlZjPWtEO/iCWM/o8q2b8gXjsTp9vxVaxFc5Oad4BaADIVN4oKtl5LkqpmJwsq6xY4nE2DMdxnEP/Uu2Oem4lAA3xn41M1ITKyld5YsuIG30sR+tlArTNfJACsYlkUVE2p5fyXFNupSafG6poEQRx6tj9EcYjkA0ABEAgetR8xc+MHxduDrr9its/wl2Y0k2e5y1rqTFoRVEqnVeDVvfCTQkaZZo/HOXOug70B4IQuNmglFLKMIwMUNB54bdH+03I2nXwsqDhOA7DMARothTpjF1S8sJzPAolIYQQQgghhNap5QgjoRLGMMwte1trGGPa5R/uM39+sM91814vg9ACoii6vl3Lsgpn7lqeRCIhLWsCsmEYLhfocJ5yKHuKnJdtmB8mrpz4f2WTXS2BDZX+PDMTjzmdeQ4mAOTo91ZyOgXzC8X3LsuHY+rlrF0WKWRJ4IY2NTEmHfjf/izR51nlvf+8OvNZCY7jRJj+RYcRoDykZVJM9JkCdAo3pVs+r7f+qdzx4fK6bYIg2rYdJt7R51k863YKtzCESTB1w/zFhLg+n2+J0WeGYVRVbbceDLrdC7cOuW1820c5zjsLgRDCFL68YHxios/OGn3mCXVsyzRNhy6yUvUCv37Bzq2FPjtCCCGEEEKolGEAeuMjhNywr6NZ0AFgigr3Hho7cLwL6/igokmSxATO082lhgjnZUBnC4UUbULaTYFhwW5yX56G6hnwznUlALuth0LBDVUAmpz6WUHjg3RET69UGbUilEUirrNs1cbnSQ1216risr/f1q/Bztcqe7/J5FG/bn3WuDvNMJavprKXhFumt3y+rqGVYZi5J7fp0a5FF3v085cDAA+pmHOgzfhRk/Fzw1hSOxuO48p90+3mjxY+M6Vwir0q0vF7y74G5cmBXOeQ7bIFAJzoSzkEsqY/0ytjsHtrxwqtj0EIIYQQQgitFQxAbxZX7+7YIp3+QvuGrjxwaGhyOq/l+QgtxDCMEts3lqo1rOLPITKfnP03y7LLnpuvadpR/4cmxW0AEKIDATrcS3alwSPQnCSxItL9SlnY6S10l7GTL67ETIpDCCHxrLV6i2YlE7Ieb2lsWPYjr1+j/SeaEg+v9SzWN4sK3dJNQsftnqcRv/b8okeoMx5tMx9sNH8Zco4DwDi3eynpzzzPV/CD1dZzCzfZlBsI3lbdfG7RB88mlU6ngM++nYZ5yvP8pEWy14Cm11bz7U3454kQQgghhNAGtKFiLii3y89p36WcbhyrU/bhXv2JIz1YkQMVrbKqxle2b9KoTRlZzySmnTWRbW4WPsuyqVS+fXjzl06nJ31nQi317n6Jxk8x588blqi+edmfem0xYBe6S71ZQgFoAKiurDAmRpblUJRSY3pcTsfrw2owsKFS3ZdoamK0buwHaz2LVbISOe8UYIC7xG79dFVdq+cAx3ECZHzR40jkzN04jVSOu/VFr1ISRbGKO1nhvLZw05jbaLZ8JlZRVdyRc0um9Bxbz1NNALAsq0Kkh1KecWp6U6NcX1uzEnNDCCGEEEIIrTlcg7y5XLi9TT7W+UL89Ne/flv68eGh92ytwNXoqDiEkFh5DUCNaZqGoduWwXK8KPoIIZS6LMulp8cE8M7GTZo+njcziX6mafr9/kQisfwzpGeFYglAk/PSALOzmh7KhMa7fNfWlMWW/XnXmnf0igKMslsqnKMLNwmgL2nN/wporCrvHhgUY9VFH8HU4oypV0RCQnnZMk5sY7Asq6L3W4XtAsIKTWYVCII46jaVM6eW64A95KKy+vOiQq6fSaFxZBvEPubiouvhSJJUA/uDjsdrHKQ7I+3vXLnSFs8OJiFLBrRIqMoBAPA8/+oMZy9IfWDB/eD2CkUpoT6oCCGEEEIIoeWFYcdN55yO1srx8Ye6TudbpSh335Hxa6q58mh0bSeG1jVBEASvQIwgqZClli9DYO4y8xWqS+6zPbJoa9yD06RGhbGT/BWNbftW4nnXlgss6/1zJ57R5wz6xje0lo/7A6GVm1ihGmuqbNvqHhhUqrIuzHcdOzXSXx4Ji4KQTKW0VJpjuaBfkWWZiQTAq+gKAoD0sQfVAnfpC757XWeoyk030p5/KrqSNQVIu/4h2BGu2Skr/so8grksy8bd8iCzSHfHWSb4dT1XKnE2hBBZluucp2WvTpI95JKK1gtXLvo8PjExQ7PW37goYCYSCZ7nE5RPuKKf2Dv9jkPhpYQIABFivPfcFpZd2b6jCCGEEEIIobWFAejNqDwa/Yiq3ndgKJOIRIE8MuhcrPW0YWlUtNxU1a9PEJ7ziPhUB0cGoFLTtMx/NU1TVXX2v8uCYZiq5NOem0J0oJu7sHHrhcv4dKXDIH6ZTi98PHfoTaIzUuf/7a38eEV1/YpNrWAcx7U21APQk12nfNUNQBhCCKUUKDXjk9Vhv+AT4K1zlyRJZZG1ne/6kEqlYtYxz0293N5626irK3IAACAASURBVKOAAwWoaty2wvNaWbwg9Pje05D6SY5ILKUwDFvEmisVRQEASuncuC0LUFvIMxJC+NbbnJP/H0vyaqo5JFzEONRZ0IGTZVlZlueuESGEKIrCgCO4UzKdkN1h2fIIPVMKx9nrG1u2FjLrAriu++zR7lO24rmVJ/SSgJE5q1uWFVXFKyTdMAyRkV5KCADQxKbeuXel5oYQQgghhBAqHRiA3qR8knT7voaH3jg57pzOWn1+RtK7enc2l1DgCW0McaMsynlXQVX5KZ3z2fbpKhmpVEqSpOISABdiGEaRJWJmjftQ2LA5d/2B69vjRdb2rR/+txHxj0Jllcs7paVraW5665+ZMDoBCQtrFIl2PpBtk2f0GQAGIrfE1n+vzqra5oTxmamhY4rV6aMTPBg8GEDAoEqahKfEfdV1zZE5EeelZw2zLMvkF30GgBbz4U7fTRQk23HT6TS8ldqcaW/IMIzrupnQc9DtqjC9f1OzXMoMhT/UGFuRv2VdN17tGjhpKwDe0edWyapkDU07cz7XNI1lWVaSn5wWAej5AWvPFow+I4QQQgghtClgAHrzYhjm5r1tj+8/dtKUMo+8rol8d/+WxoISvBBaREV1iz4xsTAJmhAIKUbKDs0kTgegXdfleb6IADTHcZkoNiGEYRie5wWWRtOvh6azlpsAAF7deKWfT2toaaevQ9GRs1jPvxjhv2TWf7QReZqJT8ecbs9NBsgieLQDTZNgtH77yk5rtYiiWNl4DsA5AEABzLfSnGWAlShCTCm1qcATM8/xreZPAcACpdP3Lo5lw+6xqHUgzjSN8ufJsgwAEedo1Dy46HESNAKNt0UFcSmT9zST0F7uGRtw5WyhZ5HQCwNGOpXSrTNdjhmG8clKl872zXAAcF2NUFfTuOxzQwghhBBCCJUmDEBvdu/Y3VF/qufJsdP/fWmG53r6Whvq1nRSaKNJQUuAdnqmElYFRlx6phDHbDZ0QXw+HwCoZpfPHhOcackYZbJVnp5DjmzkmjP9VR+vG/q34vZlwB08/mLtlouXd0qoRLA9D2Xb5Bl9BoB4zQfCK1ZBeM2tXHHkzMHH+b1V9gsF7cVDcovzEHFO37cLuqdG3HPL3MNl2Wu4z6IA/cLbY/W7l/11pVLpp7vGRlwxW6x+m2yVC65lmkntdE9TQogkSQzDTDjcy3EeAFhw3781GvD7l3duCCGEEEIIoVKGCW4I2psa3tvif2tVOzwXF0719q3tlNAGEykr65/07gVHCAQkbTZQUlwrqmQyCdSpSj4dMt6U7aF8os8AwAtSEc+1XsQq63rES4revTn16DJOBpUOQ9cjTk9Bu/TLl4djVSs0n80g1HDRhFvYbV2NqZlXsb3a+K8JPbjojmNuU6Lu0+UNe5Y3+kwpfelYz4864yNu1pTqnbKpmDNaImEYp6PPkiTN8IFnNPmlhHgoyQNAiJgf3VOH0WeEEEIIIYQ2GwxAIwCAWFnk9t3V4lthu6en+d6+/rWdEtpgGpq2ZNskcNZstYfigiau69LCz2a8IBTxXOsFIaRi29Vd4pVF7g60uGx0VOKSUwMFjZ9gm6LtV6zMXDYLhmHUjlvTLZ/Pc3w3f80wd978g4DNKDUD/Nuy7ZVy/ZPVnwp03CxKy3xr7URX970HR44aEuSs69NvcNKcp1YUpd+WjqV5AKJTBgBqmdT797XyPK69QwghhBBCaNPBrwHoNEEQPnZ+80OvHh91RQDy5BR/iduXNCzHtmWfrzwcCPhVrqjsVIQAgBCSMlhZ9MhNnpvoZxjGbEHnQpngEyCd5+ARdlto45YUyCCE1Gy/Yjy+29/1HZEmPcdoJKLSSc9NwwOnahvaVnKCaA3YiQIC0DoJqOd8dOUms6kYhuHLYxgFIrpT9fbL84K9w7SDEq7GfMZzrx64sLLjUu+SzEsQn0n8sjthQT4ThyDnWpYFAKIoupzw1MzcXGl6nmqeuw1bDiKEEEIIIbRJYQAaneU9+9pfOHT8QEoEgOfiAoAAAJAASOgAugBOHZfuqIxEgoHiSiWgzSxhlcni6MLHRc70+SKZMtCmacqynGcAmmEY1z3d5CqdTvcrVzcnf57PjhSAa7g674mvb/5gCPZ8gb7+Zc9we7boMwC4mAG9ETFcXsFEABjn2vw7b1vRyWwqmVL1i6LAalxDxDkiQuKtR0gSYq6vvsryiD5TCn3iuyobdi7jVCmlCS35cs/4gOsD8PisrxKcLbKddMiJNDdlE4HABX7D1NOEYUTF/+LMWXcaWXCvr5erKhuXcYYIIYTQqnGHTkA6kedgEq0jgXXY51ytKWR0vj8NtDlVR2TT7y4+DgAAJnvi+R85IAsttYuXpMvgHLr4ILS6MACN5rtoR3vNwOCvB0y6YLGtCexJWz3Zb0L/WAVj7ohKNRWxFW3fhDaS8oo6SHoEoAGAZ8/EOvN8RzEMExYNkw1atmvbNsdxipNX7XIKMFD2gZg/34+ujcEgqkS1gnYRZazTugFJ0TZY7DLPAX4odku0pn1VZrSJDDrt1ezxHAMc4Dv530snk73y1TH7QJKtSpEKx6Uc47SaP1k4nlLo97+/oqp+uWY4k9CODE116awFLHglPguEXhwwDMOgVBQI7FYtzSGia1qGLfrk/Ro/o59VDSlK9JvObcU71gghhNYv+8nv054DeQ7mrv1jdvc1KzqfFUAgPVzAcHnZ11yhDaVvSJtJmXkOjhRy5Mnx5IkTE3kO3t5SVsix0WrAADTyUF9T/ZEy/acH++I0W5FcMuKKI6OUHR1uEu1z66N55nahzYzjuLjOqZJHXm1MnbCcCk3TWJY1TdPn86XTixTTcF3XYMPt09+nwBhsiNc1Fhb/nDNBijf+YSwYKvI1rFtdvnduS3kEsHKIlmPfuQ1I8QfH2eao05VtQK90WbT9shiLlwfLL9h6nd7VL5FUtgEnhZuSmgYACS2tkXZKKSEpvyy0mj/1HD8Su708vAzX1pZlH+0bflMjaeBOr3zyskO2QsTQNF2SJEpp5i61RC2W448Y8mR8fiH+fQHr3I52vEuNEEIIIYQQwm+YyJskSbfua33mwLE3c1atdIDpNITOE3GVTL6tSiqP4l0mlIvhRlTwSIJmCOUYR1VVx3E4jnMchxBC6SKrZjRN61evrtUek5ysdSTODCZlqdr3BSPlgSLnvr41d5wDbxQQgHaAw6TFDYkQouz4cN+RX9dZL899XCORMfXSWP2Oig3dnHNtcRyXov5sAehJpj2ZPFOrPXMCDCp8s1f0mQKZrvlkWFaXOKVUKvVs9/iQLQDw2UfRiwMm69rpdFp/66ERmzua4qOcM2ULzoL1UgzQm1oCsbKCkloQQgghhBBCGxYGoFFWhJDLdm2p7jr1xDiBBV8v543VKPfIoM0PDl5VwVWUY10OlEX2N0ZEmeoZVYIqzzB60uYURclUhc4tyVZ1Bd/vMLLP7K9NPp7rmbd9Msht3jMeIaSv4qN1I9/Pc/xQ5YfXYfk6lBeGYcp3XGfAdbquJxJxRfHLsswDVK/1xDa8dDoVZkY8N5kgT/C7qX6mqKKiKAyBZvPBhYNtKuiNn5KXcKuAUjo6PvHUkJEGDkDMMbJVsmsEazYyLooixwtPxU/vMm573KbyE+tD57UWPTeEEEIIIYTQxrN5wzEoT63NTQ111n/u703Rxd8tFrC/GaHqyMC7WsKqgsWh0Hw+JQKud/xFYG2fz2e5RKQay+ZbIiOZTIqiKAgQh/IqIrLU8BxmgcRt4uhzRnlNc7f2zsbko4uOHOO2xKqbVmFKG5tt245jUQosy/J8KaYVS5IkSdJaz2KzcF030Pdtz5u5LrA94g1zb7n5/f4W48cMOAsHJ2mItNzOF7tAwXXdzr6hl+OMA0zui0A/6+5VzWQymbQoAAiCQHjxxRmPfOe59inpvdu3FDc3hBBCCCGE0Ea12SMyKB88z394X/MLR04eTOZYonuGBvyPT2o17PilrZWSmCu1Cm02sqzQRNY0aL+UHJkkjOpnCDVMm+M42/YoGL0QpVTiqAtMtpBMnK3BhnoAUNVxSV+3v2byJwxkLW8ywTWrO25dzVltMEktkZ467ndOBPgzlWFMlx8lF0RrduLqkE3LOHGfj/FuCH5SuCmRSACAIAiiKLI0XW/83DP6PAh7ytrfXtwEXNc91D24X+Npzms/ArTF59SJjm3bmpaGt0LPr2tCOp3r3cuBe2OTWh5rKG56CCGEEEIIoQ0MA9AoL4SQi7e3toyNPXxKc2B+oyFPA470wLGpC4JOR0PNSk8PrRcsy45qUplf99zqF7SEXGHZrk+wZwyD4zhJknTde/AswzD8zExd4hc5QiOmf9sSZr2hlDeeM1Pemj75SJU1v523A9xw9D3R+h1rMrFSoBvG+OT0iGbOGE65wpcHfNFIOP+QcWImzkw+GeEHgYF5p0mBsWrhWXfg+Wm7POU7P1peg5HoTWXsxJO1jHd/eQc4ICzDMLIsS3RSdPor7Nc8hlF2NPKhsmhFEc/uuu7B7sEDGuvmKvQMPuLuUi3OtUzTTJguACiKMmRxXTpn5ww9A0CMMW7Y1STwed2lRgghhBBCCG02GIBGBaiIxT4WDv/md539zlmdCXcrhsjAS4n5yc4UyItx7tDB/hs7ygVsbIUAAEBQ6wBOeG5KmEpUGUuaftdJq2pY0zQxvwx63p3JHR0REkcA9hQ+2Y3JJ8u+nTdr1rvT2pQ+cco2UoIa8ZU1y4oa3ZRRUUrp8VO9j/aa09bcl28DpEVm4t2N/JaWxkWPMNHzXA1/IGd8DxjiRvjhiP3zie5Ktem9S585WhdGBrvrwSOmnDFF68vs34VFTrGGfXTC+whus9ry7kjhdYQopQdO9h5IiTlCzxyhuxQrwFFd162UZQMQQmRZJoT0m/xJffEn3SPr5+/oKHRuCKFS5rqubdtzO6OWoNlu1alUimHyyo8pTZkXYpqm63ovlFkvLMvK/EPX9dl/r1O2bVNKM38CjOPk//YyDJOWwB8O0dP5F1mjlK7cFwCX0vx/eq5b2OD8p7Foc/t5gwsaDfkPpxSyr0P1nEn+gws58MqiK/YaCzpJFnpGNU3TcTwWIJaITFreev+YwAA0KgzHcdfv3XKk8+Qzk2fePL9LCuWC+7ag8TuNm3HmV0HQKH//0ckrwnZDXe3qThaVomAwrE8SgfP4pAlKGgD0jrmC4M9EWpLJpCzLqVQq9zHjbEMlEJL9o05xRpc06Y2I53k+XB4Il6/1RNbYTCLxzZeGberdatVwyY+67K3jx2+5oD3HQZj+79bw3vXHPZUJw31dT5c3X1bwdNF6Yxh6nfZgjrLJUdLlVWzjjC7x3dV1bUWkzL9xrOuAIQN4fwMlABcHDJ7QdDrtpJ1M90NFUQghJ3VuSGMBwM7yhTRIrDjlAUAA54O7arDWFkIbD6XUdV3DKOCjbfXNhi3We6wzw7btUo595GPubyTPMnolKxPlyfwJSLSAiI9t23YJ/OEwhrmSXT4KioquWJh4xaKcBU6jwMDvSv3wCvuBFKqwmazYTxsK+WMsNFZb4ieuEv9EzhMGoFExtrW2tBjGAwf6M50JKZARkx0x2SrennGoVxyH/HaK35o8dV5HIy483+QIITNGJMp5J/oBgKoILuVs21ZV1bZt13VVVU2n0zkuyg3DSHJVqj2Y42mXNmu0MR0/1fvDTnPRt8ebM8yxru6O5saFmxzH5ge/xzNmoU9dKxzS3UvXdcYWWhSl1O15sOgPvbgbY5o+WFPg+iFK6an+wWemWADvVsA+hl7gNyzLMpJnrmRlWR6x+VdnctfQoHuYSZthD9ohAHqOlL7onK0FzQ0htF6wLMvzfCiUb1PoNTE9PZ2JL/j9frbY1qylgFI6NTXl8/nWe2fgdDqdTqcBQFVVfp0XZdI0zXXdQCAAADbnlTiThSz7mFL4w0kVFEcr9EqF5B9GJQwDeYcBGdazBUaWwYVcRTMMA3nPgzAk/1dIgBBC8g3QEpK1G1KWmRQweCXDLAUdmylkdGG/x0JO9VyBawdlWc5z+fWayGRAr/dgGgagUZFEUfz981reOHry5Rl29kNryMr1jnrTlIcP9V/TUSkI6/uKBC1RRXWrMTnJsR6f05bDCpyrW5C5bCWEOI5DCOE4LkcAWhRFV/dl2woAca4hvPR5o43lyQOdz47kO/hXPVZH8/wHbdvih+4pIvoMAITA+OhgeSWuC9nIJsf6qol36efckjSQKHtPuCxW6I5T8ZnHe2dS1ONDlgBt99lVgpNOpzXtzOmUZVnRJ78wI1iLL8Alb7hl4IIPnOvbwmXhxkKnhxBaRwghpXyXdG7SHMMwpTzVRWXC6CX+A8/HbGRkw7yWt15FYUHAknjtDMk/+XNFI1oFHXvlBheEFHTskvnplZKV/OWs3KFL5I83i8xJCQPQaFPbs6WlTUs+cnRw0s0rRWuKCv95dPzaGjFWFlnpuaFSNpyI1YY8ymLwrBNVJkemFRsCruuyLJtOp03TVBQl26qTgCJGZx7306EcT8fVXbU880YbxQtHTuUffQYAzSZpXfednZqk9/1CEYpfDFXYirM5pqbinZ1jL73cPzScPNWdaKhXL7649h1Xdfh8uW7DoFVGKY1O/6zQ62STSqPqtbHqlkLvmVFKnzvafdKSYUG5ZwJ0h2xHBTeZTGrmmS+khBBFUbp0rjdewNVgh2hcsStXRRqEEEIIIYQQmgcD0GipVFW5ZW/r0a7ep7PWVDgLBeZXA9Y77dGqis1efHYzq66uhVTWusyO6wALDMMsWtSPEBJLvxrMGX0GAHOyEwJ7i5ko2ogOdvY8PlBwmcW0bswNQE+NDVQKi7zxcuOFwhZ5UUoPHuz68t+8ODKiz328uyf51DMjd33ttXdeXf0/vvB2UcSOryVhYrS/hhRwf2LKrTFj7wiGo7HCUxsmp6Yf7UsZIC/ctFM2owJNpVIJ46z3vCzLfZbwSiGhZwGcG1tC0bKGQqeHEEIIIYQQ2uQwAI2WASFka0tDc635iwPd4zSvkMqjI+4NwnRZuAQqZKG1wPN82iIC750BGgvawzOu4zg8z2eqHSWTSVVVNU1bONghi7/lQvFnATAAjQAAXNf96aliuhUJ3FlFxyL6byDLIq0pqyzML3JHjlISjhRQYOHYsa7P/dlz0/Fc5T4efWzwhRfv/+mDt/p867uI5MaQnBqE/OrUdTvnRpoulkXJI36ch1ePdx/WJfB6sitDBgAkk8nZNiwcx0mS1G9y+zU2W49BT+186vJdHaW8MhEhhBBCCCFUsvCLBFo2oijcfF77FWErv5L95Nd96aJXoKMNQHOzptERQimluq4bhiG81YDLdd2FNY8opaPibo2vz/1cMsST2swSJ4w2hp+90pl9Y9YzEgNUVdXZ/+p6WmD0bIOD3CQAnHCuf336smxjxqy6PGt4ua77+x/74e2feDJ39DkjkbDfdd19ur4RuiSvdwyfqyIKpWBS6Rj7bqPtz6q2XCWKxdwzoJT+6lDvYd3nWRGPAH1yWkil07IsMwzj8/lU1f+aGfptXOpMc/lHnwnQm5rkK/dsxegzQgghhBBCqDiYAY2WWUdbazulP36tc2KxqtA2MKcGhptrq1ZnYqjUxMorxgcHwopnLiplWTYU9Dkul0qlMg+lUilFUZLJ5LyhqVTqFH+xT3lb3cwvOZpiqXeQTut5Xtl+zXK+ALQOUUoPzXgH0apksruMe6TPu2l4S+Cs/04Onwhm76XKEAoAbewvIfsaD6Uur3fj8PDEBz78c9PMv5EM2A79l+88+yf//e3574JWQm3zzpETvTE4lnk/ZNiU1yEwzF1Q07iFYZjGJRxf1/UfHZ92wXsJCAP0/IApETqaoC8ZEgOSW0zeP5zjS1+0c8sSpokQQgghhBBCGIBGK4AQcsu+tpM9fU+O2E7OLHvbxQzoTS0Y3UFTbyxMA+UYtyY4BACuC0NQlUgkMo9ny7+zLMuyrKP8O3meL7ffjOqvLxxTb788lbxEVvzL+QLQetM3kLVq81CKDqW8o88A9LptlXP/71ragk5vBei0rqzjFvn8pZQ++9ybd37xhSKO/8CPu//7Z+h675K83hFCQu03mPT68bEhAsCwrKKGRFHkAeqWdmTXdd842X8oLWZrBV7F6h0qGbXISymRggQABdzBeEuImNdtrfLPSfxHCCGENiEiKdRflu9ox6IzWfvcLDg0KaBZMcsTX97lKymAFAIA13EBKDAMk+OykOUB0nnPo0CsnO1yxQPJr3hZieFZZm62QW42Q1wCAMCyiy8s0+wCruB4hlHFfON7Bn5LQGsBA9BopbQ01NVXW48f7Oq1PVYWVzBGvcq219es/sRQ6eAFYWS8PKpkvUob18IAIIoiwzDp9CI1WxzHcRxnyr/TMwANAELnv09WvE+NlM2W9UCbzXQqa92MHC4oowH/vFsXxV+19Zs7ahsXTyl97rnDd37xpeKeAosblQ5CSKy8ehkPODgy+tSIbWZJfM4Yc4SheJHlMmpIcojKl5ez7Y1txR0BIYQQ2lBcnVjxfMce/6378r15DibVLTDTl+80KrZy7/xSvoMJgJWA2YqrucOYrgDCikV+qQE0lffg4tphrCVKIWnYVt55dWnTSZ1e2rh4cJkUkq5nWO5EYvF6fRmOXXA/doSWDgPQaAXxPH/tuR1DI6MP96To2fEajbIN5eG1mhgqHeVVjcnxCZ/g/RFouiIhkIkXy7KcTqc9q3DMZRimxlapjkei6+gJMfb9jwOAzouUEyjLW6FYeu/VtHFrWVUNRqU3g3Th11osoVfvmR+Js2mR0b1ea2954/mL5iZ3dnZ/odjoMwBcenE5pj9vPJTSXx3uG3dFz36DlSQ1/NbXNnsJHT58LNx+Ti23WIY+QgghhBBCCOUPv2CgFVdVUf6JcvrC/kMHrTNVVJOUe7Bz5gJ1bEtz1k50aDMghLhiG9Cjnltj6vh4MgYAlNJMBvSiYTVJYNSUR/R5jDRFn78/82/WMsAyAIDXJuX+Y5kHdcE39L4/b9p7YdGvBZW+MpEptBrB5y6tX/iuK6toA+21Qp/9lHlJddOuRYf19Q195I4nsm0NBfnp+CLVfN93y9ZC54ZK3MjY2KNDTraKzwAwvFjSUJiY1Uz6sBPMNkAA9+at0YAfP5QRQgghhBBCywwbmqPVQAi5eM/O2/dUR9m5q0LIS5r08KE+yyqqNRLaKAKB4HhC8dwkcjalp3NWMwWgdV3PkZrn96ut0z/w3OQ+/lru0DVrpmt/8NfW56/rfuYxx8FFSRtTa3Nj/oNZoJ+7uMoneYT8/MGIZmcN5C1ku/yY/7Z8os/xeOLW236Vbev//OLeb3/zij27Izyf9ePb52P37W3Jf26oxDmO89KbXb8ect1iCr9QHtzzZW2fnJqifPboM71A1W8/v2lBqRmEEEIIIYQQWgYYgEarR+D5m/e2XVfNCXAmujfpCve9OfnikZMY8tvMKmp3OFnSUmtDo5RS13VlWVZV1efz5XirZCt9O+B0KP3H85xMzUP/1/nzG4cPv5G75DRap66tzisDekuAfuHKJlXxvjUCAEztrZq9SCsYCpB0/N30OqfuE4HA4gFrXTfe+74fZ9va2hLY2hEEgDv/bO8n7sia43zvv1+H9Tc2BsuyXnyz6z8Ojx+1sr4Ps1GIfYHf+EBHeF/QfSWlvJrK2gKonDXv2FOze1vHkueLEEIIIYQQQt6wBAdabXW1NbfXwqtHT742w85+Hz5mq8cPj10Ypm21lRg62Zx0douSpRBHbWh4IF4FAISQTBUOz9CwIAjJZHLId0lV+rl5m+yDeff3AAAAAlD2b18a3/62stvvzGReow1j77a2KbPzxfGs5xkfS39/R6iiPJb7OCzLsQ0fGhgd5pOvccRgic2CxRKLJbblCjoNpKU9obJqnuer8puYbTsf/uiP03rW+yv/+ysXdJ2KNzcF/+GffvfiS96tO//k0zuqq8vze0JUukzTerVr8IQpARQcegagH9paxvP85NT0g8cmbK8rPQ5cGWwd2KtrpdpqrLmBEEIIIYQQWlkYgEZrY9+Wlu26/tihniFXyjxCgbwwRX43PfiuhkAggKuAN51AIDgyXBv19XturQoMD81UZv4ty7KmaQvH8DwviqJrzD+tucCEDz1TxJRCh5/Rv3KE/eK/imLWuqueDMNIpxIMw0o+BXsblhpCyNV72vZOx586PnI4Tmb7owoM3ep3L2opj0ZC+d8Gi5ZXAlw/9xEKwAGoAGqBE/v2d54aHEp7buJYYjv0Ax9+jBDvNH9C4PaPtLz48vi9Pzh+3bU7/P4iopaoJLiu++rJ/qNpgYJU3BEkcBmGeerN3m7Lu10hANhAmlRy/pZGvMGGEEIIIYQQWgUYgEZrxidJ797XMTI2/stTM9ZbX5JTlHuoO7VXHt/R2rS200Orr6KyZqB3ujLoEVxmCBXZtG5LmfRnv9+vaZooirquz45JJpNhhalJPTVvXwd4ximyzjifmHC+/CHrr+/n84gjG4Zh9T4cgn6ROLMNN13KxKFaC1xaXlFT3BzQSoiEgu85P3gTpa7ruq7LMAzLeofqVodpmvf956lsW23ndNR5YfT5bZfEAgHh0ccHv/v9k5lHbvvoQz998EMYWFyPuvv6n5tiba9Og20+S6Hmfn3xWws7+Jn7DxMne7vCZi51+Y4WvDeGEEIIIYQQWjUYgEZrrCIWvT1adujNo89r8uyDr6XkgwcG37etPEe7ObQhVddtmxjaH1bMhZui6nTfZAQYwXEcjuNYljVN0+fzpdNnkkZtIi/ckQdjaMdlkUNPz32QAiGQV4ln1kybf/eH/F99L/ewkeHBusT9CxNnGeKGoT+c+E86M+dRApknH3bbNKGjrrEdK8+sCUIIy7JrG3rO+OEDLxe6y9/fde6Xvrz/mefG5j0+Pm7MJLRQMOC5M+ybbwAAIABJREFUFypNpmn+7NhYivKeWy8PpHtNfr/ucX5bgL5qhbNtU8G6ZVddoUs6EEIIIYQQQmiJMLqH1h4hZOe2rTsoffnw8d+lxMyKeBPYHxwZf1cVVxmLrvUE0eohhJRV7dYnXxE4j+hwXWRyRlcSRsB13UwZ6Hlx24SmdQZva43/YN6O7J4WODsATYCOnXe9dfENlFLGSFNJ5hKT/z97dx4fVXX3D/ycu82+ZN8TCEtYBAEBlyJKVcTiCla0Wpe2Vvq02lb709ZaW32eUnGr+rhQV9Taaqk+VlFBW1HEBRQQZJGd7GSbTGZf7r3n98ep0zGZhJmQyUySz/uPvCZ37r1zZiYzmfnc7/0ex9qVhsZ9PW9Xcbe2Pv/Hwu/+vLdhh0PBSt9fe5niK3bXuv1OCCEl4j6i7SMHSKderBaebXPkDa0kmjFWV9fy15d3rHn3CC/OpYRMnew447Tis+YdZzabMj3AIeOxx/cks1pBvuHKK8a88VbDl3s8/+9XW3pbbf36feefd8LAjQ4GRiQS2Vd3pNnl3dKsNnj+8xZ3SoUYzi3s4yPZ+57kX0qJ30AMRJtfYSotQbtnAAAAAADIAATQkC0opSceVzMjGn135+HDEZkQSghd26zNU1sqS4oyPToYPJRSYp6ih7cLiYIUm8EfiJgZFc1mczgcFkXRZrMFg0FN03gkHdXpfucV1e6XBPKfthtlwu5Dp15Y8MGr8bsKFlYJqipIEjOaCSEhk1379k0lDyxNOKqcre+451/mLCpOeK2rbqP92Boe5AhHSPuz4TZju2V+XsnYIRFDf/TJnt/ft8UX+NqkeYyQbTu7tu3suv/RPXNPKrjl53OsVvQjPlayLJxzdqmrM7Lhw9b7Hth11PVPmFExCKOCZDDGvD7fxi+bPjgccocSHFezKkTNPdbjrDk03MUUPVH6LBJ9Tj6dUF19jDcBAAAAAADQb+gRCdlFluWzp427dEJukfDv3r7r2lh8n18YCUwmU4DWJLyKUlJsbxOozhjjJ5IzxkRRlGVZURSDwUApZVQ6kHO5Rx4Tv+Ho6iPuyXPil1S+8aht+3uUUuP+rZRSWZZt6//e17D+ck9v1+Syg8nfuz4YaKgs8Jq2/ylXR/e+CllF07RbfvvWr/77027pczfrP2k7/7L/q61rHrSBDV25uYkb8lZVWpZ8exQh5LXVDRs+bE1yb3l5joEaGPSbPxB49cMvb3lx222vHnj9y2DC9JkQcupEh3YMH8YoYXPzmEUkCdPnyebI92ZWTage1e/9AwAAAAAAHDtUQEM2ctjtF860t7Z3vH3I7WfSztrmE2owJ+HI4nA4vd6JZn13wmtLHa3+kNTisYuiKEmSLMuEEF3XA4GA0WgURVGk2hHLN2zuA/GRTOlMbX/JVaX/fPY/t/LBy44PXiaEhAqrGGOmtro+hmSp3x0JhxSDsedVA1uvbKFdls7nXK5KqfI8Q6KbyyzG2NKfv773QIK5InvSdHLVf/3r5WcX5uX12pcWCCFPPHb24iWvxy8585vFfr/68cb22jp/Srv68dJJRiOa/GZSXUPTS5vb6z36UddcME5uJX11drYI2mRzdJMv8fvAaNF/ck0l0/X1HZ3drqoSA/OOq0a7ZwAAAAAAyAaogIbsVZifd/nM6jMK6fRxaFs5Etls9oAwsbdrLUbVaJAlUSSEUEqDwaAgCDabTVFEQojbEwgGQ/tzrorfRCBsfNke01XfaL7sJxFbXvxVxtZaU1udLiWeASwm4O6e8nDtbFRy9ykFubTOVvdI0+F/R/Aej+fg/j0H9+9paarT9aMHW+nz/IufJJk+c4yRpTf9kzdIgd6UlBSu+ut5kkQJIVdeXl1cbPrnu0c+3tjebbXCQuMTK04fPcrW234sFumyS09M71ihF7quf7h1z00vfH7vutZk0merQtrMeX2v49fFhOlzhRC4dELO3MnVsiQpijIvn1WKgVIhWCP7pkjuKybnLzhhItJnAAAAAADIEqiAhqxGKR07qpIQwhgLh8OZHg4MNpvN7vVMNGq7hUQHy0odLYyRA0dsJrPVbDaTf/+dRC0mwWazEkJ1Xd/rvKrSu9qodcS2Eok2TvmMLBrXTs4Ibm11bn+fkn9no4IaTXAzcXprzewom0WObO3ffezz5sho9U2y/01CSAEhBXxpgJCDhBDiY7nBggtsjpzBbBgdiUSf+vOBVLdqbQu3tnUWFeamY0jDRllZ4fp3v3fb7W8890KvHV1aW0O/+vUn7R2JuxKJIn3tlUuEhK8WSCdN097+9Mu39h3lDaSbKRMLIn1PXZoAKxIj3xxXrChfmxqhsrS4spRQShE6AwAAAABAFkIADUMDpdRoNOq6HolEMj0WGFQ2u13TZvrat1mNCcIdSsnYEq87oPqjdkIEnr+oOiGEhMPhSCRitVr3G+bbRH+57y2RfW0P+aSOTCfa9G8c7Kwpfv1pmkSJriUncYRqsdra9cp8oa8OHj0FaR4luoG5Ywl4SqzUZW1/JtRm6bAvzCsapEnntm473L8N3/7X7u9e9o0BHcsw5HJ1vfvekb7X6S19FgTy6t8vMplMaRgX9CocDq/57MC/Dqb8j2nxZMPhVD6DiUSfaIoeP7pUkhJsRSlVFGVITF4KAAAAAAAjEAJoGEoEQTAajZqmRaOpFZrBkCaKoqNoxpGG3QU2T8IVnOagkwQ7A7YOj2g0GnkKYzAYDAZDJBKRZbnDL/stl5iFYKnvHUX3fm3nRB2Xs9P93Qsj72w3N/dV2+ueclqBnHimOEKIXHmuVv8nkfY1KV83AVroEicRKgh6cIy6OvkN4xmpv9T7t+au8c6xCweh9HX3npZ+brjXe/SVRrzHn9zYvw1Hj7I+/cRFBkOvf58w4EKh8Gsb92+oS3RgjBCrQry9hNJOIz2lxn64z9bP8ew0OiNPqiwpTpgvI3oGAAAAAIDshwAahh5RFEVRVFVVVdVMjwUGT3H5xC53p1HfJ4mJ64VzzF6BSJR4u8L5PIqNRqOKooTDYf4zxKjPeK6iKJSwEv+6duP0guBmi9pICHHSZjK/YH/73OI3nultAKz39JkQYjSa2vKuKOp4NvkgKE/fnafv9uj5LcbT9smLx0VfTnbLHkqEvcEDTeHKq7P2BPzyUlTmHgVjbO3bjf3Y8NuLq356/TfReWPQhEKhv398YFND4uOgl02zlTnke993Jbz2tCop5MxrSWIGDgNRx5n1CSV5FkuvUbWiKHjeAQBgWNIO7Ag89AuiJVXbQR25llufoBZ7ukd1dJJA5KNMKvMf+CfejSj2llDxr39f+5o1Ah49TddVNenyJky4A1kPATQMVZIkSZKEaugRxeHM0fWZLQ07Cx2BxCuYVUKI3dwS1aQjnlxZlgkhvDyQJ7OMMUppbmCLSW0p9a+Tv14NPTZ/d+DKs33/OmRu3Ntz51rRqL6Hl5Ob3y79IL/lyZSKEe1Cuy3ycpg4UtgmERP1KXUrOouustmdx7irPhQUWPu34fHHFR19pRFP01P75FhRYV7x8Ldyco71jweS996Wvf+3M9Db82QUyV8/T1zsv3Cc/I0po14+4CV99n2WiVZjCE2qKjUaDH3UNRv6vBYAAGCoY4wRXSN6culbcjn1YGCEsOQTQ0SG3bDeYtSR+aGHMZL8l4OR+RDB0IIAGoY2URQFQdB1HTH0CCEIQknllLbWlhzlcB/xiyyqFTmt/ENdg8tJJV5+y4geKnR0SfbS1nq1RN/dc0Mz7TKdmbsr9P+qXronfrkuGwvmnXfU4dntjrDt5/r+p8w0cbeQhCghRtKV/Pq9Eama1/JUq3aNs5de1cduzklj7n5oRz82PGH66AEfzDBDKf3OpaOf+3OvMxDGs1ikB+6bM2liNVLIQXPkSOvyfzZpfX4NCCX6ynlejXzGzImCILS7Onv7dlAj+aoLnQV5uUd9QhE9AwAAAADAkIMAGoY8SilvyoEpCkeOgsIixgq7WrbaTH0deOApTUWemxA3X9LsKWzosFXle+wVlaHaeiPxJdiKkMnGD7xXLQyu2WVuOaTJhkD18fbv35Zw7q9ENyqI46493Hi4LPC6TAf7D5JSUtTxjM9yvaykpR2ww2Gbc1LBhk/aUtrqv75XYzRmaW+QrPLDH5x26LD/gw29Nto2mcSzzij78Y9Ottn6WYoO/RCJRp98Z/eXHXpKWwmUnFtjPGNmTSwvzs/NWaC2ebzeKBEo061mU1F+nvLvl+pRThFAr2cAAAAAABi6EEDD8MGnKEQMPUJQSp3FM9paj1iEeoOcbDBUZGsV7KTdIxNdDRhPmxB6o7c1baTDtqDINWa5xWo1pj68krJROrm+rrnB5v0gR2hKfQd9aVJrSqU9faygHl4lj798YG805re3zLvw8pf9gWTPLpxzUsGSxbPSNJhhRhCE5cvO9Xi827bXP/+X3V5P1B9Q8/OMhQWm+WdVnjCjyuHIguaGI8yBuuaH3m9J6RTZEiu9ZHrumFEVPa8qKiwoKixIaQCIngEAAAAAYKhDAA3DDY+hNU1TVZWhr9ZwV1BYzFhRW0tdjuFIMhNRCJQQQnJtUb1uayVrPer6RlM/wuf/KCopJyWXBXXN1dogeHcZmFcngk6EXFov0f5PoVki7mnVKgvFut5WcApHDjc1lJSW9/sm+qAoyt+eueA7177e5Tl635vLFlVd97056RjGMGa3206dM+nUOZMyPRAg727Z9+pOf5Iri5TMG2OcN6XcZh2Y+nRRFOXkJzICAAAAAADIVgigYXjiTTkYY5FIBDH08EYpLSyu0rTyjrZ6m9yqSEd/ugVK1LITog3vyiTcx2pBYhME8dhHKAhifnEVKa6KLVF1/UjT3uLg2v7F0JSSQrGuSytwiL22wqjw/10lP+vPcJNgtZpffeHbq17Z9Ogz+3tbp7zE9ODyefl56epGDZBuazd9+caeUDJrTioQLjyhrCj/6B2ckyRJkiiKqHoGAAAAAIDhAQE0DGeUUoPBwBhTVVXLnsmRIQ1EUSwsHsVYVTQaPdJ0ONfiMSl9PeOKpLsKzyhsfbO3gMdPctikpXJ6AiAqCAXlE1RW01C/pyK8VuxXDO0Q26JM6a3NtEi1w7X7yqvGHdtIeyUIwpKLT7r4oln7DzR+urXxnXXNtQ2BgjzDxPH2M08rnTljrMlkRHwGQ1enu6vv9FkSyPk1yvTxFTarRUjm/IvkyLIsCAJeOwAAAAAAMJwggIbhj1Iqy7Isy6qqqmr/+x5A9uPNUitHjee/NjXWF1iahF6SHJtZ+9J84cTAq/xXRggjAiNCozxDzJuaX1Q6CKMtqZygkgkhVa07tLdI3+YQWinRCWGUMEIoI1SgfbW3lmmEEdJbUlUReVtnY9OaZImiWDO+smZ85RVL0ncjABkQjnTvMEMJEQUypVA8fbxzVGX5gL+yFEUZwCAbAEYsxlhLS0t7eztjLC8vr7CwMMlZlAEAAADSBx9HYASRJEmSJE3TotGj966FYaC0rIKx8uaGvQU2d8IYuqowuK/zspKyUZTS2NezokEdIyGESJJUPW4SIZN6Hh6R9j0g0l5LuSPU0iEcV6JtTHitQkMNbc0FhWlP0gGGn+LC/AevyPN6vaFw1GwyGAyGNLVjxhyDADCAvF7vXXfddfjwYb/fTwgxmUyFhYW33357Xl5epocGAAAAIxpqbWDEEUXRaDQqipLpgcBgoJSWVtQItpntgaJwNME7XqnT5fN6s7Y4SCV9ZV4K8zvVnX2sIAUODvSIAEYKSqndbi8syLNarelIn/mUuQaDAekzAAwIr9f73//931988UVOTs7ChQsXLlxYVVV16NCh2267zefzZXp0AAAAMKJlaeYCkG78mz/aQ48QoigWlYwiZJTb3Rny1NrNEYP877kKKSUWui8UnGo0mTI6xsS6hFGF7Mverj0cnTJK/qKv7fXEHaIBIIMwxyAADDjG2DPPPPPll18WFhb+8Y9/5IfNVFW97bbbdu3adccdd9x999142wEAAIBMQQU0jGi8PXT6zq2GbON05hRXTjPnz2aWE0LS5DZ/wRGPo8OfGwj6Mz20xAxl32S9X3uU9JkQJmRjqg4wYimKYjQaJUlCDAQAAysUCu3evVuW5dtuuy32sVaSpF/+8peSJO3Zs6exsTGzIwQAAICRDAE0AKGUoi/HSCNJksViLS6tLquYUFI+Ljc3fxBuVNf7mlEwIaPRtJ99s9+3qMno+QiQeaIoGgwGo9GIaQYBIE18Pl9jY2NpaWlR0dcms3A6nTNnziSE7NmzJ0NDAwAAAEAADRCH9+VARgApYYwx1keZ8n+0trbW19enWm5fOW56qz66XwMj9vyqfmwIAANFkiSj0SjLMkqeASCtGhoaCCE2m81gMHS7qrq6mhDS0dGRgWEBAAAAEELQAxogIV4KrWlaNBrN9Fgg2zHGGhoacnJyIpFI37PMFxcXE0L68UdlH3dR3cEPK9nGlLZqEmbm9/gWCgCDgFLaMwMCAEifpqYmQkjCw10Wi4UQ4vF4Em746quv9jxDy+/322y2UCiUhpEOjPjD/+FweEjXjvA7Eo1Gh/qhSlVV+YVIJNKP0/660SMRklSBByGEMMZCoRAVB+xkVk3TdF3nLwGq68k/MSyllVlqe07+JUnD4eQLXhhh6fvLYyyFnTM9hZVT+htLslootnIKayf/Z8pXTnEkqew7pZGkEUvlMUnxqUnpSU/tXSjLk59wOExS/ZPIPgigAXoliqIoipioEHqjqqokSYIgVFZWpvWGKKVFY+a0eY4zHPmHXWhPZpMIM+aNmZvWUQFAT5IkSRI+XAHAYHO73YQQk8nUM8Tkb0rBYDDhhnfddVcsN4wpLS3Nz8/3+XxpGOnACwQCmR7CAIhEIpHIMJk7ekAOXdBgUCYkyTiSMeb3+wkb4OMQ/CVg1tTk/6/rui6mZ2VN05J/SQohvzPpPacutXgxlUyZiUmvzVIJoPW0xb6Mpbh+8qumM8lNVYpJeCrD1lNYWddSeNK1VFYmhITDYR7yZif+vooAGmCY4xMVyrKsaZqqqkP9NQ8Dpbm5ORqNOhwOh8MxOLdotzuJ/aqm5oN27zqr4O5jzSP6WPuYc8UhXkcDMIQIgsAPR2V6IAAwQvH3n55RMvnq++pQr66FkYaVj4384rFkcy8qEJMlTSMJzF1K9QSvrIRYSq+0VF6UjCYfVhPdkNM59f+lMI6U3h5SuosCTeHbMyXJPyiMSuawN/mR2JOPtkVSmso87rpZTKFaP0dM/vFIMd2mKQTWLMXkN22ZckoF5zSlB4SlkOAbFESjgwGPMkCyUBANhBDGWH19PSFEUZSKiorB/zqXV1JNSqr9arSztd7g25JH6wX676O7ft3WzCYXVE13GhIUQAFAOsiyLIopfCcEAEiHgoICQkg4HGasewLGTyu22WwJN/ztb3/b80z2l156SZIkq9WansEODL/fz5MIs9k8pI//8epdRVGG+nTosSJuk8k0MP8ZHems4u1TKBTSdd1sNhNCSHa/EHpnJ18VcfMZKTI9nmOi63ogEBjqL3ZCSCAQ4G+5FotlSH9fY4wFAgFZlofNG5fBYEh1rqbBxE9mGtJ/MwQBNECqYgXRjLFIJIKC6BElGo36/f7Kysq6urrCwsLYPwBN01paWlRVtVqtOTk5g/CPQZLkgtJqQqrjW1VJhFSk+4YBgBBCiCAIQ/0DNwAMJ+Xl5YSQSCSiaVq3RkCdnZ2EELvdnnDDc845p+fC119/XRTFbE6sePbBP4cbDIYhfSBQ13W/3y/LcjY/4MnQdZ3nOMMgk+KHbYb6M0K+CqAFQRjq90XTtEAgMNRf7LxZOQ+gDQbDkA7TdV0PBoNZ/p8iGbHKwix/Ex4eJzMhgAbop9gcU6qqJjzhEYYfWZadTichpLKyUtd13gO6trZW13VRFCmlPp/PYrFg8jGAYcxgMAz1D38AMPwUFxcbDIaOjo5gMBhf7MwY2759OyGkpKQkc6MDAACAkW4IH3IByBL8nCZFUYb08VhInq7rdXV1Pp+vqanp8OHDPp+PP/V8NkKkzwDDEi/xMBqNSJ8BIAtZLJbRo0e3trYePHgwfvmBAwf2799PCJk8eXKGhgYAAACAABpggAiCwM/aUBQF8cQwxhhraGggX83z4/f7eZ2RIAg8mM7w+ABgQImiaDAYjEZjNneFAwCQJGn+/PmEkGXLln344YeapmmatmPHjmXLlhFCrrnmmt56QAMAAAAMArTgABhggiDwGlhN03j7MBhmbDab1+v1+Xw+n89sNufn55tMmPQPsg5jjDGW2e5ykiQN0Q5FgiBIkjSke/MBwIhCKT3zzDPr6+v/8Y9/LF++PH75nDlzLrzwwgyODQAAAAABNEC6iKIoiiJjTNd1JNHDRjgcdjqdkUjE5/MxxvizjPQZskRLS0skEqmoqCCE1NfXFxQUmEymjIyEnwsSDoczcuv9xqeZpZTiRQ0AQ9EVV1wxbdq0devWbdy4kTE2bdq0008/fcaMGXhPAwAAgMxCAA2QXpRSnlESQqLRaGyWVRi6mpubY3WRXq+XUpqXl9fR0cFTPxhy+FEit9sdCAT4tNSU0tLSUknKrn+RnZ2dmqbl5+fzX8PhcKzhD78LjLFoNMoYq62tlWW5vLy8ZwEvX4fX7zPGKKWVlZXHMio+IzP7iiRJ/B2Pj+RY9jzIZFlGH38AGOpkWZ4+ffr06dMzPRAAAACAr8mub9cAw5ssy7IsM8ZUVUUSPURRSu12u8vl4qWdNpuNMdbe3k4p5XFepgcIqTly5EgoFIpEIt1OU2hsbCwoKDCbzYMzDB58x/JiWZZ1XedvFKqq8k4adrudD1XXdb/fHwwGzWZzMBh0OBxut1vTtFAoFN/vIhQKKYridDqtVishRNM0v9/f2dkZDAZj7z85OTn8thK+I/E3K1EUw+FwV1eXpmllZWV8tHxXuq7zkfOsObYr3i65sLDQaDSm6RHz+Xwul6uiouIYX3TInQEAAAAAANINATTAYOOneCOJHqJaWlr4BVEUedgniqLRaMzLy8vouCAFjLH6+nqr1Wo0Gnl0G38tpdRsNg9a819VVQVBaGho4PNYkriaYp5B8xUIIZIkRSIRURR57CuKYiAQIIR0dXUlrDUOBoPBYDASibjdblVVo9FoJBLhVwmCwOfWi5Uq67ru8/kIIRaLxePx+Hw+fuu6rguCEI1GjUZjbm6ux+Nxu93RaDQcDve80VAoFLtAKQ0EAoqixGqiRVEsKCgYkAettbU1Go32u3abn5iSbRXuAAAAAAAAwxW+fQFkDJLooYhSymtCTSaT1+slhJSWlqLweUhwuVw+n6+oqCgYDBJCWltbJUnq+bqzWCyhUEjTtGAw6HQ6dV03GAw2m00QhEAgwI83HOMzLkmSruutra1+v5+X0jPGNE3rrWcFHyT/Gatx1jQtmTcNHkPH3ztBEPh7TigUCgaDnZ2dvNCbvwv1tttQKNTc3MwbfSRzH/k9CgaDkiQZDAZFUXJycviJAsls3sfdcblcgiDwWuxUod4ZAAAAAABg8CGABsi8+CSan3Gf6RFBr8rLy91utyRJnZ2dVqvV5/M1NjaWlpYOWsEsJE/TNI/HEwgENE3TdT0UCsmy3NLSEgqFeMONhEkrLwQmhESj0ba2NkIIpbSlpYVSyteXJInnmDzJZYwdtRRXVVWv18tHomlaJBLhL/YBvsNJ8Pv9PRfyQyl949XZKTGZTDziZ4wZDAaj0Xjsb26KoqR6yIdSKkmSIAg4UAQAAAAAAJARCKABsggPSviJ4fzU+0yPCLqjlObk5BBCbDYbIaS+vt7j8WiaZrfbc3Jympubi4uLY/PCIfBKkz4eW15g297eHggE4psdc7xRcj9uLn4/0Wg01jDaYrH0kT5rmtbY2KjreiAQGFoz8g0IXnlts9ksFovP53O73YSQyspKxlgoFGpra+tHD42U6pcNBgNegwAAAAAAABmHABogS8WSaE3Tuk2PBv1TX19fUVFxjDthjDU1NamqWlRUZDQaKyoq6urqfD5fOBx2u92U0qamptLS0kgk0t7e3r8uAdAHxlhDQ4Ou65TS6urq+IM0/KnhnY4H4SUjy7Ldbi8qKuoZcTLGotFoc3NzJBKJtV0esbxer9frVRRFlmVKaW1tLZ9T8dhfjAlRShVFQe4MAAAAAACQPRBAA2Q7PnkXIUTXdT5dWKZHNFQNVODFuyjU1tYajcb8/HxCiNVq9Xq9PPSklPKZ4hRFGZCbg3j84Y1EIkajURAEWZb5LHnhcLipqamrq2sQxmAwGAwGg8PhsNvt8cs1Tevq6vL5fHzGP5zBEK9bFm+xWOrq6goLC00m04Dsn08qiNwZAAAAAAAgCyGABhgyBEEwGAzkq4YAiLcGGa9pVRSloKAgEAj4/f5AIFBXV2exWBhjoijyLg2MsUAgQAgxm83t7e3RaLSkpCTTY0+XcDicZLWp3+83m808Pj5y5IjD4XA4HEnuWZZlQgilNBgMNjY28h4a4XB4586d/Cqn09nZ2ckf9vQRBMFoNBJC7HZ7Xl4eIURV1Y6OjnA4zJtBh8NhPqMgJMNqtfLHs9/Q3BkAAAAAAGBIQAANMPTEWkUzxnRdV1UVZdGDQJblkpISVVV57W1ubq7b7eazt1FKzWazruvxM7wFAoFoNGoymTweD2Os77w1m3m93nA4nJ+fz9tfOJ1O3v+aENLW1lZWVtbR0WGxWFpbWysrK6PRaCAQ8Pl8/I/TarXm5uZ6PB6Xy8WDQr48GAyqqur3+8eNG8cYq62tJYSUlJQ0NTVVVVX5/f6WlpbRo0cTQlpaWngDZU3TwuFwbCq82Gx+hJBwOJzu4zFGo5GH3bxtcWNjIw/E+9FReiQTBMFkMvEZOxljwWDQZDKlGh8LgsBz5/SMEQAAAAAAAAYYAmiAIYxSyht08ABaVdVuU67BwJJlWZKWqeEYAAAgAElEQVSk+vp6/mtFRYXVavV4PD6fjxCiqqrNZtM0LVaKy2er48+O1+stLy/P1MhT1djYWFJSIghCXV0dX8LvBWOss7PTbDbztjBlZWXt7e3BYJAn7/v3749EIvGHQ7xeb1dXVygUigXHHF/farXu37+fMebz+cxm86FDh1RVPXTokKIogiAcPHiw5yyCCQ3C2QA8PS8vLw8EAnyGQ7zWUkIptVqthBC/389beHu9XoPBoChKklMRyrKMYmcAAAAAAIChCAE0wHAQ61TAizQxb2FvGGPHGGBRSisqKvhOWlpawuEwL+TkcWQ4HLZarTabjZcA8014lbTVao1Go/wJymY8cdZ1fe/evfn5+aIout1uq9UaS6IJIQ0NDZIkqaqazCR7fXTG4ME9Fysez7ZZ+3iniMLCQk3T6urqkszEoRvGGH8hxH7lhzHGjBnTx5sVb/ON0BkAYPBl+YdJxpiqqvzwdjQa7Xace2jh9yUajfLpx4eu2AQYqqoO9f/d/I8qm18CSeLPiCAIQ/2+8P6Tw+PFPjxeJvw8bFEUh/qfVvwbVzbfl2weW/KG9j85AEgoNm9h7NP5CO/R0dzcHHvLjmXQOTk5iqLwttopiX1WkGU5HA7z/hsGgyEcDkcikUAgIMtyXl5eOByOj6FDoVBzc7PFYsnNzc3aTxvRaDQnJ8fv93d2duq63tbWxscfnxRzsZ7Xw5jFYpEkqaioqLm5uba2NhKJDI9//BnEA2Ve4W6xWHJycno+pLzFEH8HAwCATFm3bt3JJ5+c6VEAAADAMEFHeCwFMHLous7b5mZ6IJkRCAR4KS5vJcwXMsYEQVAUxWQyORwOxpjL5ZIkyW638xy5t4JlSZJ0XRcEgTfgjkajgiA0NTXxa3ln28rKyoaGhq6urm7b2my2/Px8s9mctvuasoaGhrKyMkKIpmler9fn83k8nkwPKpNMJpMkSZRSXv+VbUXZQws/zMMYMxgMVquVN+LoJtZNKGuPzQAAjCgHDx6Mn9YiC+m6fv/993s8HlmWf/KTn+Tk5GR6RMdE07Rh0GZq/fr1//znPwkhV1555dixYzM9nGPCy2yHwYQTd955p6qqU6dOvfjiizM9lmOladpQL1DQdf3pp5/m55Xeeuutxzgdd8bxrnpD/Y1r7dq1H374ISHk4osvnjp1aqaHcxTV1dUWiyXTo+g/VEADjBSCIPDyQzIEw+hj//fW3t4euxzbFY+9ZFk2GAwtLS2yLJvN5tbWVrfbTQgJhUImkyk3N5dHY4IgxD70tLa2BgIBm82Wm5uraZrb7Q6FQny1vLw8QogkSX6/n3et7XammNfr5Z+f8vLysuT/R1FRUUdHh6qqfFa9IX1q2zHikw3yttQ4QNsP/AHkJ7KJoqgoit1u7+3vnM8lOAy+3QEADDPV1dWZHsJRRKPRtra21tZWg8EwZswYfhwdMmvLli319fWU0uLi4ilTpmR6OEAIIU1NTeFwePLkyXhGskE0GvV6vXw+oZqaGrvdnukRAXn33Xf5M5Kbm4uXSbohgAYYiWJhNGOMMZblYTRjrKWlhZ+qL4piTk4On8FMlmUeH/Ojx33H05WVlaqq8s7F/EsLX66qaigUamlp4b9SSmNhN69+9Xq9PKdmjBmNRp4ym81mXdddLld7e3usSppSGolEOjs7A4FAJBLhxdEJBxOJREwmU1dXVwYD6JaWlqKiIn5Z0zSPxxMMBjM1mOwRiUR4X+9MD2RoiPXT4L/y1xchxGw2FxUVJXxJiqLIe1wO9XIJAAAAAAAASBICaIARjSet8WF0NBrNtvSNUlpSUkII4QNra2sLhUKEEP5T0zR+F+x2u9PprKurMxqN/CpCSHl5OY9Wc3JyeE4tSZIkSRUVFR6Ph/fHiE1iExP/CPCHha8Qa4Xscrlipc2x2+JL4mda642qql6v12az1dXVlZeXD34FaGNjo6ZpLpcrNzeXEGI0Gi0Wi6IowWBwhLebGMnV38kzGo2SJBkMBqPR6HA4yNHSZN7TGYkzAAAAAADAyIQAGgD+jYfRsUn5eBid8TyOMdbQ0BBLhK1Wq6IoscyXEMJ79VJKg8FgMBhkjLndbl7iTSndt2+f0Wi02Wytra2EEFEUS0tL+foOh4NnZ4yxtrY2PiVx8o0Xej4yqT5W4XDYYDA0NDRUVlamtOGx42eqxuq+a2trfT5frHwVIIa/J/Ayf/6aslgsTqfzqFuhpzMAAAAAAABwCKABIDFKqaIosV9VVdU0bRCKo1VV5fFxrFcGn5iFVx/z+mJKU5hA1efzBQIB3lKD759vzjMyRVECgQDPjimlsRnSeBfgtNzDr0SjUYPBEEv8B19RUVEkEgmFQrzqGekzEEIURYm1ZjYYDHa7PckJUvgmvL0GAAAAAAAAQAy+KAJAUnjnCvJVS4qebSsGSjQa7erq4pFoKBTit9stC041B48farpj5eTxh3EwZ59gjPn9fq/Xyxut6LrOO2sjegbeTl2WZUppYWFhMsdFeOsbPj/nIIwQAAAAAAAAhigE0ACQGt6/ghdHs6/0MeFeqkwmk9Fo5HPRxkovUyp5zkK8TwjPfPkjZrVarVar0+kURXEQBqCqalNTUzQajUQiGW+rAllCkiRFUURRNJlMNpvNYDActWNGLHFGbw0AAMggQRAWLVrEG4jFTl+DzJo8efIVV1xBKS0tLc30WODfLrvsMlVVJ0yYkOmBACGECIJw9tlnT506lRASf6oxZNCMGTN4zjB69OhMj2X4G9qZDgBkFR6taprGm130QyQScblclFI+a5nX6+05H2AkEuF1u0OILMtGo1EUxaKiIl3XeV5vsVgG4ab5ZIMejye+cTaMZBaLhVLqdDrNZjM/NNL3+phCEAAAAAAAAI4FAmgASCOeF6f0PsMYa21t5YW6PGiOZWSxCIzvMHuaaSRDFEVN0xRFiR3uNhgMRUVFx5Lr8dpzHg4m3I+qqocPHw6Hw/2+CRge+CGQbgttNltOTk7PlUVRTCaYBgAAAAAAAEgGWnAAQBpRSuObyfLi6L5bQFBKi4qK+GXGWGdnZzgc5iXDvIWFrutDq5jXarUmzPIikYiqqrIsxy/0+/0mkynJprp1dXWBQIB37xUEIS8vr9tZqOFweMhVi8NAsVgs8X9Isizn5ub2bO7MZ+NEjTMAAAAAAACkCSqgASAz4ptHH/WNqK6ujhBisVgMBoMoih6PJxwO67quaVpsD8nsJ4OMRmOsqpQxxnP2bmlgS0uLy+WyWCyVlZXJ7PPIkSNut5s3PBFF0Ww2m0ym/Px83qKXUhqNRpuamkKhUDQa5bn/UO+mDd3wmQAlSeLzBxJC+OVgMGgymfLy8noezBDiZGLIAAAAAAAAMLIgiQCAbMELnPsokQ6Hwz6fz+/3x5bw0I3PpSYIQjgcDoVCqqryQulkCq4HnyAIsix3m3eCN0MIBAJtbW2EEFEUdV3nLXodDkesNFXX9W6hYUdHh8fjCQQCsSVGo9FqtcaqyFVVbWlp0TSNTzHHy655Hh2bFDG9dxgGFC94510yzGazoiiSJPUxfyBPqDnUOAMAAAAAAMDgQwANAFkqNqVhbyFpbMJDHqparVZZlr1eb2dnJ1+htLRU07RgMOjxeHRdj0+us4rNZuMXJEnKyckxGAyapsmyHIlEeLgsy3JRUZGqqkeOHCGEyLJcUlLCN+nq6urq6vJ6vfE7NBgMJpOprKys2w0xxkKhEM+4BUGIRfORSAR9orOTLMu8cJ7HxzabzWKxSJLUR/GyKIp8ZRQ4AwDAsKTr+rZt27Zs2RIOh2tqambPnh37KAXp4/P5amtrDx8+3NTUFAwG8/LyJk+ePGnSpG5FFdy+fftWr17dczml9MILLxw1alTahzsC6Lr+4IMPJryqpKTk0ksvTbjJrl27tmzZ4vV6x4wZM2vWrLy8vDQPcwRhjD3wwAN9rDBmzJjzzz+fX+7j6SssLLz88ssHfnzDnaZpLperrq5u7969LS0tlNLFixeXl5f3sUkoFNq4ceOuXbtEUZw+ffoJJ5zQ2xcoxti+ffs2b97c3t4+atSoWbNmHeNkTiMTekADQJbiTSTi/wfE+mzwvsa89pmXf8bWsdls8V9C+LUOh4MQEggEvF5vLGnl2fQg3Zk+xcfHbrfbbDYLgmA2mzVN46N1OBwtLS38XvMQua6ujrfpsNvtXV1dfBO+B7vd7nQ6u92Ey+VyOp0NDQ2EEFVVs+SOQ0KyLPM/ad5CvbCwkMTNwNmToijdZukEAAAYrpqampYvX37o0CH+65o1awwGw4033jh79mxRFDM7tmHM5/N95zvf6bm8pKTkhhtumDhxYrfUpq2tbd26dT3Xp5SeeuqpCKAHBGMs4YNMCBk7dmzPALqzs/P+++/ftm1bbIksyz/+8Y9PPfXUbnPSQL/19oxw/Dsp18fTN3r0aATQqWKMXXTRRfFLBEH45je/2UcA/dlnn911112RSIT/unr16tzc3N/97nc936A8Hs/jjz++fv362JKnn376mmuuOfvss3vOrwN9QAANAEMGj6QJId2+YMQaSiTcStO0xsbGbjvhXZgNBkM0Gs2q5tGMMV6pHZ9Ke71ePlo+U5yiKLIsd3Z2Op1OSulRG0bX1dV5vd6WlpZs60YC5KvjKEajkfdmcTgcRqOxt5V5dTO+YAMAwMjU2dn5y1/+0u12T5w48aqrrpJleevWrX/5y1/uvffeO++8c/LkyZke4DBXVFS0aNGi0aNHGwwGt9v93HPPHThw4I477li2bNnYsWN7rn/GGWdccMEF3RbyI+swgO69995udeg9y9J9Pt8tt9xy5MiR0tLSpUuXWq3W3bt3P/PMMw8++CCldN68eYM43uHsoYce6rmwtbX13nvvjUQiS5Ys6Xltz6cPxwP6Jzc394QTTpg4cWJZWdnDDz8cnwD0VFtbe/fdd0ej0QsuuGDu3Lmapv3973/ftGnTbbfd9sgjj8QfKgiHw8uXL//iiy9sNtvPfvazvLy8ffv2Pf74408++WQoFLrkkkvSf8+GDwTQADDk9fwnzVtzEEJ0XRdFMWFE297eHo1GeVmx0WhUVVVVVU3TeJzNN88evPA59qvVag2FQkajUdf1UCgUO3uOMdbc3Bw/5WBRUZHZbPb5fEifs4EkSYQQHiKLoqgoitlsttvtPYuXY0Ez4mYAAADutddec7vdJ5xwwq9//Wv+L3Xs2LGSJK1cufK+++5bsWJFwnYQcOxkWV6+fPnEiRPjF06bNu2uu+76+OOPX3jhhd/+9rc9t3I4HCh2HgSjRo066l/+hg0bjhw5UlNTs2zZMv7VaezYsTab7f7773/mmWdOOeUUFHIeO0ppwj/4Q4cOhUKh2bNnWyyWntdWVVXhwT92lNKVK1fGfu2joIcQEg6H77jjjlAo9O1vf/vyyy/nJ3Dccssty5cv37Rp05/+9Kdf/OIXsbM6du/evXPnzrKysvvvv99kMhFCqquri4uL77jjjldfffW8887jCyEZaBAJAMMQj/YURTF+xWAw8Ha6vD2u2+0OBAKqqppMJrvdriiKw+EwmUy8C7PD4cjLy7PZbGazOTvbGvh8Pq/Xe+jQodra2o6Ojrq6uvb2dp6e+3w+n88XCAQCgYDf7+crZE+J98jE69ZtNpvJZMrNzS0sLKyurq6qqiopKcnJyeEzChoMBoPBEPuLVRSFh9SZHjsAAEC22LhxoyiKixcv5ukzIYRSetFFFxmNxvb29vjeAjCwDAZDt/SZEEIp5QXOmzdvVlU1E+OCZL3zzjuEkAULFsQX7px22mlms9ntdm/YsCFzQxv+Xn/9dULI8ccfn+mBwL8dOHCAn0z83e9+NxY0y7L805/+VBTFPXv2xJ+L/PLLL+u6PmfOnPigeerUqXl5eT6f76233hrs0Q9lCKABYESglPKYT1EUg8FQXFw8fvz4cePGlZSUOBwOs9lMCBEEQRCEYDAYjUZ5NyhRFK1Wa7e+0tkj1hGbd9jYt29fY2Njt+O9mqbhK0GmKIrC/36qqqrKyspGjRo1evTosrKygoKC+KBZURQ+02B2Hu0AAADIBn6/v6GhwWq1VlRUxC+nlJ533nmEkO3bt2doaCMX/9iJzzBZLhAI7N+/nxAyZcqU+OWU0iuuuIIQ8tFHH6FaJU3279/PH/y5c+dmeizwbw0NDZqmzZo1q9tyo9FYXV3d0dHhdrv5klAoxP+znHrqqfFrUkqvvPJKQsg777yD84yThxYcADCi8WkMu504wz+B6bpeV1fHe3QIguB0OnlfjljPaP0rmqZlwz8eTdMCgUCmRzHi8KkyeXtu/pN81dm5qqoqtgQAAACORX19PSFEkiSr1drtqjFjxhBCurq6MjCske3TTz8lhEyfPj3hOVvbtm27+eabDx06lJubO2vWrLlz544ZMwZndw24Rx55ZMuWLdFodMKECaeddtrUqVNzc3PjP3+2tLTwLy+5ubndtuWd071er6ZpsRMLYKAwxl555RVCyLnnnhvfVjjeihUrtm7dGgwGx48fP3fu3OnTp+fl5eHrQ1q1t7cTQgoKCrotF0XR6XTquu5yuaqqqgghLpeLv3aKi4u7rcxfOz6fLxKJ9N3xA2LwFgMA0F1sqsPRo0fHFqqq6vf7eXcLQghjrNt83/GFA3wPkUgkHA4P0qBhIAhf1+07En9aBUHgdfSxn/gqBQAAkG58Rik+H2+3q3hnVT6NMwyaaDS6Zs0aRVF6m4brwIED/EJzc/Nrr7321ltvjR079je/+U3PQwhwLNatW8cvbNmyZcuWLbm5uTfccMOMGTNiK7S2tpK4+UXi8bM8w+GwqqoIoAccrz2XZfncc8/tbZ1//etf/MK2bdu2bdvmcDiWLl36jW98Y7DGOBJ1dHSQRPNIUUr5Qv6SIYS4XK745fH4a0fTND4zU7rHPDzgLQYAICmSJDkcjoTHrhlj4XA4GAzy9h18CkTGmCiKBoOBl0jH6qYh3WLngfLaZF6YzL+sxn7GrhIEQY7Du2Fk+A4AAABADzxfTjg/B4/V0HNsMLnd7jvuuKOjo+Nb3/rWhAkTul1bWVl55513jhkzhh8b8Hg877zzzltvvbV79+7nn3/+Rz/6USaGPNxQSr/3ve/NmjWrsLBQkiRVVQ8fPvziiy9++umnd9xxx3333Td27Fi+ZjAYJH2+dnRdx/eUdDh48OCRI0fGjx+fn5/f7Srew+HEE08sKiqSZVlV1YaGhhdffPHjjz9evnz5XXfdNWnSpIyMeSTgJWI9M2XyVb1RKBSKX9NkMvV87cS+M/KTpCEZ+JoNAHCsKKW8n29OTk7Pa3VdD4fD4XA4EomoqqqqKk+o+Ue9WB8PnlDHLgz+vchCsSiZh8VcfHxMvqrmiCd9HU5hAwAAGAYURSFxuUA83gkNJyQNGsbYAw88cODAgQULFvzwhz/sWZNeXl5eXl4e+9XpdF588cXjxo27/fbb16xZc+mllyb8zAwpEQThwgsvjP0qy/LYsWNvvfXW5cuXf/LJJ6tXr/7Zz37Gr+JJWcLXDv/SgU/LafLwww8TQmbPnt0z6xQE4eKLL479Ksvy6NGjb7755gceeOD9999ftWrVb37zm56vLBgQfRyz5K+I2PPFXzsJz2mOdeDE05Q8BNAAAOklCILJZOrWZrobxhifLZD/VFU1+hVVVdlXyFcdqGM5dbzBukP9FB8fd0uQ46/tFh/zTJkv520xMn0/AAAAIANKS0sJIaqq6rre7fNArMAzMyMbYTwezwMPPLBly5Yzzzzz6quvTvKzGaV0ypQpNpvN6/Vu3rz5zDPPTPc4RyB+2t8FF1ywadOmhoaG2PLCwkJCCP+i0e04DT+xwGAw4BTAAbd///7m5mZJks4555wkI35RFJcsWbJhw4bW1lZ0Fk4f3gydT/UUjzHGU+lYxTo/VMa/oXd7jfDXDj/jeRDGPDzgXQYAIPP4nHVJfvKLBdCxn5qm8dYfPMjmP/Wv67aHhJcTXsW3jY+/SVy5BA+FY+XJ5KsaCv5rrKmFoiiyLPMZ+XpuAgAAANC3iooKQoiqqsFgkDd2iOFZGzoLpxtjLBgM3nvvvZ9//vnpp59+/fXXp/RBThTFUaNGffHFF7H+qpAOVqtVUZT4luix+dM8Hk+32vODBw8SQoxGI04gGHDr168nhMyfP583C04Sr1sKBoPZMMX9cMWnH3S73d2W67ru8/lIXACdl5fHL3R0dBQVFcWvzF87siwjgE4eAmgAgCGGVzekb/8Ji6n7qLCOffdAmgwAAABp4nQ68/PzPR5PU1PTuHHjYssZY2+//TYhpKamJnOjGxFUVf3DH/6wbdu2hQsXXnnllal+8FNVde/eveSrYwmQJl1dXeFwOH7eGpvNVlZW1tjYuGfPnpNOOim2nDG2atUqQsj06dNxluGA++yzz0RRPOWUU1Layufz+f3+/Px8HBJIn9LSUkEQtm/f3m15OByura11Op1Op5MvMZvN1dXVBw8e/PTTT+Nnkoy9dk455RQ8U8nDuwwAAHwNTUToHWqZAQAAIN0opbNmzYpEIu+9916sNpAx9sknnzQ3N5tMphNPPDGzIxzeXC7Xrbfeum3bttNPP/3qq6/uu7lcQuvXrw+Hw4qiHH/88ekYIRBCurq6/vrXvzLGKisrYwsppbznyfr16+MnTNu5c2ddXZ3BYDjrrLMyMNZh7csvv2xoaLDb7bGpIJPh9XqfeuopxlhpaWnCKfJgQIwbN85isdTX12/YsCFWZaVp2quvvur3+0ePHh07fkMp/fa3v00p3bBhQ3zLjtra2r179yqKEt/IG44KATQAAAAAAABkO16Atnr16oceeigYDGqatmnTpgcffJAQ8uMf/xg9oNNH1/W77rprz549CxcuvOGGG/o+5TwQCDz77LOHDx/mM3cxxlwu1x//+MdHH32UELJ48WK73T5I4x7W3n///Y8++sjtdvPjMdFodNu2bTfffPPOnTsJIZdcckn8ynPnzpVl+cMPP7zzzju7urp0Xd+xY8ddd93F10ypRwQcFZ+lkxCyYMGC3g7VbNq06YMPPnC5XPyQgKqqu3fv/uUvf/n5558TQq655hrUpKeP2Wz++c9/Tgh54IEH3nnnHVVVI5HIs88++7e//Y0Q8oMf/CC+qPn4448vLi7etWvXzTff3N7ezhjbt2/fHXfcEQ6H582bF6uVhmTQ7J+3CgAAAAAAAGDLli0PP/xwe3t7bIkoiosXL16yZAkKBtOntrb2+uuv55cTnvS2cuXKWHNhn8/3ne98p+c6Vqv1rLPOuvTSS/tRPQ09Pfnkk6+99lrP5RMmTLj22mvj29Rwe/bseeihh+rr62NLBEFYsGDBlVdeiYM3A6u2tvamm24SBGHlypW9PbarVq16/vnney4fM2bM97///eOOOy7NYxyG3njjjccff5xfjuWc/P1q0qRJy5Yt6/be9corrzz//PPx5wSYzeYbbrihZ9eUQ4cOPfLII7yDUGy3p5566rXXXhvf6waOCgE0AAAAAAAADA2qqr799ttvvfVWMBg8+eSTL7jggtiEUZAmDQ0Nt9xySx8rPPLII/GVgK2trZs3b968eXNtbW0kEqmurp4zZ84pp5yC6HkAhcPhPXv2bNy4cffu3W1tbQ6HY+rUqfPnzx81alRvm2ia9v7777/55psul2vmzJnnnXce+nGnw7vvvvvUU0+dcsopP/7xj3tbJxKJ7Nu3b+PGjbt27WptbbVarccdd9z8+fNTatkB8d5+++1nn3024VU1NTW/+c1veh488/l8r7zyygcffCDL8oIFCxYuXNhbQ2dd1z/55JM333yzvr7++OOPP//888eMGYMWlKlCAA0AAAAAAAAAAAAAaYG2MgAAAAAAAAAAAACQFgigAQAAAAAAAAAAACAtEEADAAAAAAAAAAAAQFoggAYAAAAAAAAAAACAtEAADQAAAAAAAAAAAABpgQAaAAAAAAAAAAAAANICATQAAAAAAAAAAAAApAUCaAAAAAAAAAAAAABICwTQAAAAAAAAAAAAAJAWCKABAAAAAAAAAAAAIC0QQAMAAAAAAADAiPaTn/xEluXKysq+V7Pb7bIsV1VVdXZ29rHa/v37ZVmWZVlRlLa2tr73uXnzZjkRp9N5+umn33PPPbt27QqHwynfJQCArIEAGgAAAAAAAABGNE3TVFVVVbXv1dSv9LEOY+yRRx7hq0Wj0euvv77vfTLG1ES6urref//9m2++edq0aUuWLIlEIinfKwCA7IAAGgAAAAAAAABgYESj0Q0bNhBCLBYLIeSll15qaWlJZsPrrruOxYlEIjt37rz88stVVf3HP/5x0UUXhUKh9A4dACA9EEADAAAAAAAAAAyM5ubmzZs3i6K4cuVKvmTNmjXJbEgpjf9VluVJkyatXLlyzpw5hJB//etf27dvH+jBAgAMBinTAwAAAAAAAAAAGA4YY9dffz1jbNy4cWeddda8efPWrVv35ptvXnXVVf3boSRJjz766JQpU8LhcH19/ezZs1Pa3O12b9q0aceOHW6322AwFBQUjB49etKkSSUlJYKQoCSRMdbW1rZly5bt27f7/X6bzVZRUTFp0qSamhpFUXquHwgEPvvss82bN3s8nqKiopkzZ06fPl0UxaMOTNf1zz///JNPPmlpacnNzb3uuuuMRmP8tTt27Ni8eXN9fb2iKNOmTTv55JMdDkdK9x0AsgcCaAAAAAAAAACAAdDU1PT6668TQk455RSHw7F48eJ169b97W9/+9Of/uR0Ovu3z9jUiF6vN/mtIpHISy+9tHTp0kAg0PPae++996abbopfwhjr7Oy88847//d//1fX9W7rOxwOt9sdvyQajb7//vtLlixxuVzxy0tLS19//fVp06b1DLiLiopcLtezzz578sknn3POOXv27OHLa2pqrrrqKh5A67r+5ZdfLlq0KHYtZ62Jz/oAACAASURBVLVan3vuuW9961sGgyH5BwEAsgQCaAAAAAAAAACAAfDaa6/xC7fffjsh5IwzzqCUMsbuvPPO+++/v3/73LdvH79QUFCQ/FZ33nnn73//e0LIZZdddv7555vNZl3X29ra1qxZ8+qrr/Zcv7m5+bTTTtu/fz8h5JprrlmwYIHJZAoGgzt27HjyySd7pti/+93vli1bRgiZOXPmDTfc4HA4Wltb//CHPxw8eHDOnDn33HPPf/3Xf3VrKsInV9y0adOvfvUrl8v1+9///rjjjlNV9dChQ7G0+rHHHrvlllv8fv/EiRN/+tOfFhcXq6r61ltvPfXUU4sWLbrhhhsefPDB5B8EAMgSlDGW6TEAAAAAAAAAAGTMj370oxUrVpSUlDQ1NfWxmtlsDgaDpaWlO3bsyMnJ6bnCeeedt3r16tNPP33dunWEEF3XJ06cuHfv3urq6q1bt9rt9p6bfPbZZ7NmzSKELF269LHHHut2rdfr/eY3v/nZZ5/l5eVt3LhxzJgxydwdVVVLSko6OzsfffTRH/7wh92ubWpqamhoiO/m0dLSMmnSJJfLxeuXZ8yYEb9+MBh87rnnrrvuutiStWvXLliwgFK6dOnShx9+OBYfd3V1fetb3/roo49yc3O3b99eVlYWv5+8vDxeLj158uR//vOfxcXF3Qb25Zdfzpw5MxQKXXvttQ8++GB804+///3vl19+eSQSef31188999xkHgQAyB6YhBAAAAAAAAAA4Fi1tbW99dZbhJDLLruMLxEE4fnnnyeE1NXV7dq1K6W9RaPRrVu3nn322Z999hkh5N577x09enSS2x44cKC9vb2goGDhwoU9ry0tLe3WS/rpp5/m0fD//d//TZ8+vdv6JpMpPn32er38V6vVevfdd8e32nA4HC+88EJxcbHL5Vq0aFFvw/vzn/9cVFTUbWEkEjn55JP9fv/48ePvv//+bi2nFy1adPHFFxNCvv/976fUigQAsgECaAAAAAAAAAAA0tzcLPYpGAz2ti1j7Ne//rWmaYqinHbaabHls2bNGj16tKqqf/3rX/u+9RUrVsRuSBAERVFmzJjx8ccfn3zyyevXr7/66qsTThuYEO+YEYlE+hhwvBdffJEQcuGFF86ePbtb34yedu7ceeTIEULII488YrVau11bWVnJC7o3bdrU2NjYc/M5c+ZMmzat56189NFHvM30PffcYzKZul0rCMJ9991HCOns7Pziiy+SuVMAkD0QQAMAAAAAAAAAEEqprU99bOt2u1evXk0IKSsrGz9+fPw+Tz/9dELIQw895PP5+tiDoiixG7Lb7Q6Hw263K4ry8ccf33777R0dHcn3UB03bhyl1OVy/eIXv+js7FRVtY9tvV7v9u3bCSHnnHNOMjs/ePBgOBwmhCxZsqTntYIgXHPNNfzytm3beq7QWwMNvjKl9Oyzz064QnFxcVFRUTQara2tTWacAJA9MAkhAAAAAAAAAAApLi7uowc0Y8xisfRWU7xly5a2tjZCyMqVK7uV9y5evPiZZ54hhDzxxBM///nPe9v/Nddcs2LFivibCwQC27Ztu/HGG997770pU6asXbt2ypQpydwRq9U6f/78tWvX/uMf/xgzZsyJJ544efLk8847b/bs2T2Li/fu3UsIoZT2bMqcUF1dHSGkuLi4W5eMmNggDx482PPawsLChFs1NzcTQgwGw7XXXksI0XWdL+fROf8ZCoUIIbxQGgCGEATQAAAAAAAAAABH0XdvihdeeEFV1crKyrlz53a7av78+Tk5OZ2dnW+++eb1118vSYmjmG77p5RaLJZTTjllw4YNVVVVTU1NN91005o1a5JsxPHcc89deumln3zySWdn55o1a9asWXPffffJsvyTn/zkhz/8YU1NTezmWltb+c05HI5k9szz39zc3N5WiO2H58XdyLKccCvehDoUCq1cubLvAUQikWTGCQDZAwE0AAAAAAAAAED/tbe3//nPfyaEuFyuadOm9VwhGo0SQj766COfz+d0OlPauSRJ8+fPX7ly5TvvvHPgwIFx48Yls1VhYeHatWsPHjz43nvvrVix4vPPP+fD+OMf/7hy5crHH3+cz+lHCDGbzfxCwry4J4PBQAjpo7t0LCBOGNn3luPzXP644447arPskpKSZMYJANkDATQAAAAAAAAAQD8xxh577DEeMft8voSNj7lAIPDoo4/eeuutqd6E3W7nF3bu3JlkAE0IkWW5pqampqbmuuuu6+zsXLdu3csvv/y3v/2ts7Nz2bJlsQC6pqaGEKLrOp9a8KgqKioIIY2NjbquJyzHPnDgQPyaSSovLyeE1NXVTZo0KfnpFgFgSMBLGgAAAAAAAACgnyKRyNq1awkh06ZNY73Qdf2MM84ghPz617/uo3b4qJIsUu4pJydn0aJFL7zwwrJlywghW7dujc2IWFxcnJOTQwjZvXt3MrsqKyujlEYikV27dvW8ljG2atUqfnnixInJj7CsrIwQ4vF4khwGAAwhCKABAAAAAAAAAPqppaVly5YthJD/+Z//6W0dSuktt9zCL7/55pup3kRsasSpU6f2a4z/MWnSJN4EIxwOxxZeccUVhJAnn3yyvb39qHs4/vjjeQPoH/3oR5qmdbu2q6vr7bffJoQUFhZOmDAh+YGdeeaZfGA33ngjujwDDDMIoAEAAAAAAAAA+oMx9sgjjwSDwfz8/BNOOKGPNc844wxeaMzz2eT3v3///jfeeIMQMn78+CQjXbfbHQgEetsbYyw3NzcvLy+2/Lvf/a4kSR0dHZdcconH4+m2la7rsQScEFJaWvqd73yHEPLJJ5+sXr2aMRa7SlXVv/zlL3v37pUk6dVXX+1tvsGEysrK7r77bkEQ3n333VWrVvGWJt1omtba2toz9QaALIcAGgAAAAAAAACgP9xu9wMPPEAImTBhQnyk25MgCD/4wQ8IIS+++GLCdLUbxlh7e/vy5ctPOumkYDBoNpufeOKJJJsjv/LKKyeeeOLPfvYz3mqD9wBpaWm56aabbrvtNkLI0qVL49efOXPmqlWrBEF47733TjrppFWrVvH8OhgMbty48bLLLps3b178+vfcc89pp52mqurVV1992223ud1uxlhLS8v3v//9G264gRCyePHi2bNnJzPUeDfeeOOll16qqur3vve9Cy+88LPPPuMtR6LRaGNj40svvbRgwYJ58+Z5vd5U9wwAmYVJCAEAAAAAAAAA+mP16tW8X8S555571ILfuXPn3nfffR6P5+mnn77uuuu6XbtixYonnniCX+aRceyqGTNm3HLLLaeeemqSo1JVdceOHf+fvfuOk6q6+wf+PbdO3c4uLCxVKUoQTexY0J8YKyAqxhaNPeqT+DzR4GNMokaMJSaWGEsEMcoTkSLE2BAlsREbCFKWIm0XWNg+fe695/z+OHAdZrbBMszu+nn/wevO3Tv3njtzZ5b9zHe+5+uvv37sscfSflRQUHDDDTfcfffdqSsZY+PHj582bdqDDz64evXqiy++OO1e+fn5qTdN03zxxRd/+tOfLly4cOrUqbKvtOT1ei+77LInnnhCVdUOjtalKMr06dP79+//wgsvvPHGGy32KnHnYwSAbgQV0AAAAAAAAAAA+8Ptp5EZKGc67rjjPB4PET3wwAOpLZhdzh6cc03TRo8efeedd65bt27JkiUXX3yxbJHcEVdfffV//vOfRx555Nxzz62oqNB1PRgMnnnmmS+99NLmzZv/8pe/yGGkYoxdeeWVS5cu/eCDD6677rrCwkLDMPr16zd+/Pjnn3++srIybfv+/fsvWLBg7dq1v/nNb4YMGWIYxpFHHvnEE09s27btmWeeydx/BxmGMXXq1G+++ebdd9+96qqrysrKVFUtLi4+9thjb7311jlz5lRWVqal4QDQ9bHUZj0AAAAAAAAAAAAAAAcKKqABAAAAAAAAAAAAICsQQAMAAAAAAAAAAABAViCABgAAAAAAAAAAAICsQAANAAAAAAAAAAAAAFmBABoAAAAAAAAAAAAAsgIBNAAAAAAAAAAAAABkBQJoAAAAAAAAAAAAAMgKBNAAAAAAAAAAAAAAkBUIoAEAAAAAAAAAAAAgKxBAAwAAAAAAAAAAAEBWIIAGAAAAAAAAAAAAgKxAAA0AAAAAAAAAAAAAWYEAGgAAAAAAAAAAAACyAgE0AAAAAAAAAAAAAGQFAmgAAAAAAAAAAAAAyAoE0AAAAAAAAAAAAACQFQigAQAAAAAAAAAAACArEEADAAAAAAAAAAAAQFYggAYAAAAAAAAAAACArEAADQAAAAAAAAAAAABZgQAaAAAAAAAAAAAAALICATQAAAAAAAAAAAAAZAUCaAAAAAAAAAAAAADICgTQAAAAAAAAAAAAAJAVCKABAAAAAAAAAAAAICsQQAMAAAAAAAAAAABAViCABgAAAAAAAAAAAICsQAANAAAAAAAAAAAAAFmBABoAAAAAAAAAAAAAsgIBNAAAAAAAAAAAAABkBQJoAAAAAAAAAAAAAMgKBNAAAAAAAAAAAAAAkBVargcAAAAAAAAAXYUQItdDAAAAgHSMsVwPYf8hgAYAAAAAAIDdnnnmmQ0bNuR6FO1ITcm79R/k7ol067OgHvSM0J5z6e5nQT3x6sKJdB0942XSvd64br755oEDB+Z6FPsPATQAAAAAAADstmzZssrKyvLy8lwPpC22bcsFVVW7fmrQBiGE4ziKoihK926PyTnnnFP3f0aIyHEcIlJVNdcD6Sz5MmGMdfdzkS+TnnFpycSzu59Lz3vj6uLnwjlft27dFVdckeuBdAoCaAAAAAAAAPjWMcccM3Xq1FyPoi0NDQ2O4zDGCgsLu3Jq0C4hRF1dXSAQ8Hg8uR5Lp8RisUgkwhjLy8vTdT3Xw+mUcDjsOE5+fn6uB9JZdXV1QgjTNIPBYK7H0imc8/r6+sLCwu6epDc1NVmWRUTFxcXdPYBubGw0TdPn8+V6LJ0SjUaj0SgRBYNB0zRzPZxWxePxU045Jdej6CwE0AAAAAAAAPCtLl4yKYRwQ2dFUbryUNvFOVdVtbufBaU8ET3jXIQQ3f0siEi+THrAM0JE6h65Hsj+k29c7sukW39yxjmXp9CtnxHqPm9c3fpqcfWEcwAAAAAAAAAAAACALggBNAAAAAAAAAAAAABkBQJoAAAAAAAAAAAAAMgKBNAAAAAAAAAAAAAAkBUIoAEAAAAAAAAAAAAgKxBAAwAAAAAAAAAAAEBWIIAGAAAAAAAAAAAAgKxAAA0AAAAAAAAAAAAAWYEAGgAAAAAAAAAAAACyQsv1AAAAAAAAAGAvQojVq1fH4/HMH5mmefjhh7d2r5qaml27dgkhiouLy8rKNA1/8QEAAECO4b8jAAAAAAAAXYsQ4sknn6yqqsr8UZ8+fZ555pnM9aFQaOrUqZs2bYrFYkTk8Xh69er1m9/8pqSkJOvDBQAAAGgdAmgAAAAAAIAu6rzzztN1PXVNMBjM3CwUCt13331r1qwZMGDAEUccQUQbNmxYuXLl3Xff/fDDDwcCgYM0XAAAAIAMCKABAAAAAAC6qCuuuMLj8bS9jRBi+vTpa9as6d2796OPPioDa9u277777pUrV/72t799+OGHGWMHZbwAAAAA6TAJIQAAAAAAQDcWj8dXr16t6/pdd93llktrmvbLX/5S07S1a9dWV1fndoQAAADwXYYAGgAAAAAAoBsLhULV1dXl5eWlpaWp6wsKCn7wgx8QUWVlZY6GBgAAAIAWHAAAAAAAAF3VokWLli1b1tjYOHjw4DFjxowcOTKzmYYscA4Gg6Zppv1o8ODBS5YsqaurO0jDBQAAAMiAABoAAAAAAKCLeuaZZ+RCZWXlm2++WVFRccMNN4waNSp1GxlA67qemU37/X4iam5ubnHnv/rVrxzHSVvZ0NDg9/tDodABGX+WcM7lQiQS6dbtrYUQRBSPx23bzvVYOsUdfywWSyQSuR1MJ1mWJYTo4i+BjrNtu7ufi3yZ9IAXu/t+Gw6Hu/u5cM6TyaT7VtxNuW9c8XjcsqzcDqYN8XicUn7xdVM9PICurq5esWJFQ0NDcXHxqFGjevfunesRAQAAAAAAtG/YsGE/+clPDjvsMI/H4zhOZWXlo48+unXr1rvvvvvFF1/Mz893t2xqaiIir9ebmWhomkZEsVisxUO8++67mblneXk557y7ZIjJZDLXQzgAHMfJ/CSgm+rKIc4+6S4vgXZ1o5dz27rgi10IinESHd7eo5DKiLrkueyHnvTGZdt2V/4UsGe8hHtsAH3nnXeuXLkyc/3IkSOnTp168MfTovPPP18uLFiwILcjybkJEybID3NuvfXWM844g4hisdjkyZPlT9t9fLrCI1lXV3f11VcT0fz587P0YWZXOM2OeOCBBz755BMiKi8vf/rpp4no9ttvr6yszMvLe+mll3I9OgAAAIBuQFGUn/3sZ6k3R44c+fjjjz/88MNLly697777fv/738twWf6UUiq5UsnKwW5dagcA0DXZgiqjlOxYAs2Ihvsor8eGcADt6JnXvptmZvr6668nTpw4d+5c/CesO9q+ffuMGTPk8pQpU3I7mDTXXXcdEZWWluLSyvTQQw+NHz++ubl59erVI0aMyPVwAAAAALqlQCAwZcqUH/3oRzU1NY2NjSUlJXJ9r169iCiRSAgh0v4vKstRg8Fgizv84IMPMlfecsstpmm6O++ChBANDQ3yL77CwkJVVXM9ov3HOa+vr/f7/V6vN9dj6ZRoNBqNRokoLy/PMIxcD6dTQqGQ4zgFBQW5Hkhn1dbWEpFhGHl5ebkeS6c4jtPQ0NAFX+wJhyuxRnI62hiBMUYkiKioqEh+cNhNcc4bGxtN05RdnrqvSCQivyEUCAQ8Hk+uh9MqOchufc0QUfcefYvuu+8+N30uKyv729/+Nn/+/EceecT9Leg4zq9+9avcDfBb5h65HkhXxBjLfHxCodDHe6RunPNH8u2335YlJ3/9619zNYaujDEWCASI6Je//GWuxwIAAADQjXm93sLCwmQyKcM+qaKigoiSyWTmt6Hr6+uJqLX4SW8JyikAAADgwOqBFdCfffaZXBg7duxtt90ml4cOHTp79uxf//rXy5YtI6IVK1bkbHwpXn311VwPoevyeDwdf3xy/kj++c9/JqLuXraQVTNnzpQtRN55551x48blejgAAAAA3ZJt2+Fw2DCM1CLT3r17m6ZZV1cXi8VSi52FEMuXLyei8vLyHIwVAAAAgIh6ZADtuuWWW9LW/O///u/FF1+ctvLNN9+UC2eddZZt2zNmzHj77bfLysouuOCCsWPHZu5WCPHOO++89dZbGzduHDZs2FlnnXXqqae2OICPPvro3XffXb58eUFBwWmnnXbRRRelfRcp9dCp6+Px+OzZs997771QKHTsscdOnDhxyJAhmfsPh8Ovvfba4sWL6+rqBg8efNJJJ5133nkd/E5KLBabO3fu+++/X19f/73vfe+ss8467rjjWtzygw8+WLRo0fLly/Pz88eMGTN+/Pi0r+PF4/H333/fPZH6+vrp06d//PHHJSUl55133jnnnJNZQxEKhaZNm/avf/1r4MCBl1122fe///3M49q2vXDhwhYfn0ytPZJEtGLFirfeeuuzzz7Tdf3YY48955xz0h7MtAMlEokZM2a89957pmmeddZZkydPbrcGRH6qQUSPP/542o+EEP/4xz8WL168cePGXr16jRkzZsKECakVKN98801lZSUReTye1Outpqbmyy+/bOP0Y7HYtGnTFi9e3KdPn4kTJ7Z4rRLRV1999eKLL1ZXV19++eXnnnvuqlWrNm/eTER+v//kk09O3TISicybN+9f//pXXV3d8OHDTz311NZi4v/85z+LFi366quvOOfDhw8fM2bMuHHjOl4p8+STTyKABgAAANg/r776aiKRyM/PT+0P4PP5Bg8evHr16g0bNowePdpdv379+g0bNhDR4YcfnoOxAgAAABAREZOzUvQk7kRtZ5xxxq233trx7V999dWLLroo9Ue6rs+ePTs1Wauurr7pppsyd/Lcc8+VlZW5N+Px+I9+9KPMb8Cdf/751157beahU+eUmzZt2muvvZZ2x6KiounTp6eO5I9//KMb+6a69NJLL7nkkhbOM8Wf/vSn9957L22lYRgzZ85Mjci3bt16yy23ZF4hFRUVsuBXqq2t/clPfiKXf/aznz322GOpGyuKMnfu3NRWNS+99NKsWbNStxk5cuSqVavanYTQfbhcpaWlsuVFi48k5/yCCy7I7Aael5c3Y8YMN6lPPdD06dPlRIKp5s6d607w0qILL7xQTmKbNv3gkiVLWpzxcvjw4Q899JBcnjNnjuxqXVRU9MILL7jbfPLJJw888EDaSbmn+cILL1x11VWp+9R1fdasWWkfP/z0pz+tqqpyb/br12/06NGvv/46pUwPKN1zzz1ffPFF5lB//etf/+AHP3BvWpY1efLkFue3mTlzpmyyQS1NQii9//77f/zjH4no+eefl50KAQAAAKBFNTU1dXV1FRUVfr9fURTOeW1t7T//+c/XXntNCPHzn//8tNNOczcWQrz33nuPPfaY1+u99dZbjz/+eCJatWrVo48+WldXd80114wfP77jh77xxhsLCgp+//vfH/izOkDQA7oLQg/oLgg9oLMt4fAPqxrjHesBzYhG+FlQRQ/oLqQb9YA+6aSTpk2bNmrUqFyPZf914yu+NT6fTy4sXLjwyiuvXLRoUQdD9szc1rKs1JXJZLLF9JmIrrvuukQi4d6cPHlyZvpMRAsWLGgx5nN9/PHHmekzEdXX17shKRF9+umnLabPRDRz5kzZ6K01L7/8cmb6TETJZDL1ZMPh8M0339ziQ7d169YrrriixZ2npc9ExDm///773ZsfffRRWvpMRF9//XVrk0Z2RmtzUTY3N1944YUt3iUzfSaiG264oY2jcM5l+ty3b9/U9Jlz3mL6TERr1qzJrJXeJ2npM+2JhlPX/M///E9q+kxEVVVVixcvztzb7bff3tplee+9927cuNG9edlll7WYPhPRpZde2u6w5d9CtPfnBAAAAACQaePGjVOmTLnssssmTJhw/vnnT5gw4dprr503b55hGBdffHFq+kxEjLHTTz990qRJiUTioYcemjhx4sSJE++66676+vqTTz45s4wDAAAA4GDqgS04Hn/8cbfKuLGx8bHHHpOpqKZpBQUFjz32WGtzQDuOM3HiRBnt/fvf//7DH/5ARLFYbMmSJbI9hdu+48QTT7zjjjsYY0KI6667bufOnUQ0efJkmR1PmzbNzW3nzZunqqoQ4p577pEdFe67774WI2bJLTR4+OGHhw0bRkSc8wkTJhBRPB7/8ssvjzrqKCJyI90rr7xSZqlCiPvuu+/zzz8nojvuuKONqfBeeeUVuXDRRRddfvnljDHbti+44AIism179erVI0aMIKLLL7/cvYssARZCvP7668899xwRNTU1rV+//pBDDknbuWEYf//731VV5ZxPnDhRrnS7chPRgw8+KBc0TZs9e7aiKMlksrU4OM2CBQvWrl37i1/8wr3Zxsapxe9/+9vf8vPziWjnzp3y2nAc54033jj77LMz7zhnzhx5stddd92uXbuISP7bmrq6OrmQ1t3FfQr8fv/MmTNlNr1lyxbZGebdd9/9r//6r7bPt23nnHPO9ddfT0TvvPOOLEhPJpMffvjhmDFjiCgSiaxbt05uefvtt5900klCiKuuuqqhoSFtP4lEQvYAIaKxY8f+/Oc/Z4y5Vx0R/exnP5MPdSwWi8fjcuWrr74qp3x0L56OcGeJnD9//jXXXLOfZw4AAADwHTB06NBrrrlm1apV69evr6+v13V90KBBxxxzzOjRowcOHNjiXS699NIjjzxy0aJFS5YsEUIcddRRp5566pFHHolJBQEAACC3emAFdGlp6f/93/9lfuvHtu3a2trLLrvs/PPPz4zhiCgYDF599dWMMcbYKaec4pbfP/XUU3LBLaeV6TMRMcaeeOKJtJ+6+fKDDz4ovyHCGPvtb3+btlmmbdu2yQXDMGT6TESKorhJpbsTN+B266wZY7fffvu555577rnnnnDCCa0dYuXKle7yFVdcIc9C0zS394iMMi3Lcsc5ffp02YCCMXbeeef169dPrpcBfZrZs2drmsYYU1U1cwM3EiUity+HYRjPPvtsawPeb7LTMRFde+21Mn0motLS0kmTJsnl1NYQrgULFsiJvxVFef755ztyoE8//VQuDB48OHV96jXmPl/9+/c/d499OJkMeXl5N9xwg7xWzzzzTPdadQur3eJrTdNOOukkImKMyV4fadxGHz6f77bbbpOXhKIos2fPTjuXhoaGsj3cKHmfvgOFP34AAAAAOqioqGj8+PF33nnn888/P2/evFmzZj344IOTJk0aMmRIa/8B03V91KhRt9122yuvvDJr1qwpU6Ycd9xx7n/bAAAAAHKlB1ZAE5Hf7589ezbn/B//+Mcnn3yyZs2atNj3xz/+cWb9rBvvSi+//LIMKxsbGyklQySi1voVCCFSN3NDZKndtgMPP/ywXBg0aJCsZZYyM+uCggI5qpdffvnll18uLCy8+eabv//978uS2Da4oerQoUNT119xxRWpXTVkryipuLg4dcspU6bIGt7q6uq2j1VUVJS25uOPP25xy969e7e9q32V+oilfeXwwgsvnDNnjlwWQnQ+EnV7oaQ9UAMGDPjoo4+IKBKJTJgwQVGUm266acyYMe0+Rx3xy1/+MvXmjBkzZP8Nt0J5xYoVcuHnP/956pZHHXWUO7ehtHTpUrlw5ZVXpq5P/QinsrLyuOOOKy8vl/XvRGTb9ubNm9etW/eXv/xln0YuvzdARJzzbt30CgAAAAAAAAAAOqJnBtCSoijjx493J9zYuHHjvffe6zZMuP/++++6667UrPL0mwAAIABJREFU7Q899NDUm2nzztXU1LjL9957b4tH3LlzpzsPG+17vWcoFJILlZWVrR1C+uMf/5jarbihoeF3v/udXL766qvd3heZ3IAyMx1OldY7OFX//v3buGPbli9fLhdkm4hUcmaV/d5zmtQAPc0B75G/du1auZBWdH/JJZfMnTvXfcA553/+859lgfmZZ5558803d+ag3/ve91Jvph46LVUfNGhQ6pZDhgxJC6Ddj0zGjh2bdpSSkhL5SK5YsUJ2oeGcP/TQQ619kNARZWVlO3bsICLHcRBAAwAAAAAAAAD0eN+hAGjQoEHTp093v4PW9mSAaYQQLU4qmCaZTHZwwsNOKi4unj9/vtswIdX06dOnTJnS2h3d4bUdjmepVcJBCxwPZqsHt/1F5lM/a9as3/3ud4WFhWnr33777bSG0fuq45dZ2mOu63rHj+I+jPLiF0JccMEFqenzOeec43bw6CA5YSOhHQcAAAAAAAAAwHdDT6uArq6uvummm+Ryiy0vTjvttDfffLPF+1ZWVqY2zUgtyGWMpbaJaKOZRmpOva8dHtxw8MQTT0zrsZCJMTZ27NixY8dyztevXz9lyhTbtuWPVq1a1dq93LRUdvBojdvoOZPbW3k/HHnkkXK+uw8//PCOO+5I/dEBLH8mopKSktZ+FIlEDuCBiOi4445bvHgxEUWj0cwWe6NGjZoxY4YQYufOnffcc49bWh6Px1etWnXYYYe1ttu2I+Yvv/zy+9//vnvTTXUpI9jdvHlz3759U2+m7crtibFw4cK0diXu7IsjR44koi+++MJ9muTsmm2MsDX19fVyYf/uDgAAAAAAAAAA3UtPq4BOzdpefPHFzA3ee+89ueDz+dJ+dM8996TevOCCC1K3TM3L0sLB7XukbeZ2nJB3OX+P1gZ/2223yYXVq1enrnccJ/UQsVjsX3sQkaIoQ4cOnTt3brs9pono0ksvbfEQzz77rBzbnXfeSXsHuG4KKd1///1yoby8vN3DpUmdHTH1Mdy6deu+7qptqSHsq6++mvqj1KvigBThnn322XIh7SxSnyPGWFlZ2VNPPZX6HK1fv55SKpTdZFaS/aNb8+ijj6bedJ9Wr9crF9wPMx555BF3MyFE5m7dIPull15KXe82DyEiGZS7D924cePc67wj3wxoESqgAQAAAAAAAAC+C3paAE1EZWVlcmH27NmPPfZYOByWcwPW19ffeOONiURC/nTGjBlpdwyHw08//bQMRv/xj3+4Cel///d/ywW3K/T999/v/vTll1++YQ+55oc//KFc+PWvf93U1CSX3YLfzODb5U4MWF9f7zbqFUJMnjxZ7v+pp54iIsbYH/ZInQmwIzHu0Ucf7S5PnTpVnkUoFHr99dflyhtvvFGeqTvOa665prm5WY7khRdekA18iegXv/hFu4dLM3DgQHd50qRJ8rmoqanpZEPkFg0fPlwu/O1vf9uyZYtcXr58uVv/Ls+08yoqKuTCsmXLUte7z1FqsJtaqnzkkUcS0Q9+8AN3zXvvvSev1Q8++OCDDz5o46ChUOjJJ5+UT98bb7zhpsBu9xV3bkDbtuWHLo7jyNkj07hXZjwef+CBB+Q+Y7GY2ySEMSY7hufn58s177zzjiyFdhwntRd5u9xXTV5eXsfvBQAAAAAAAAAA3VdPa8FBRE8//bQ7C9+iRYsWLVqUuc2IESMyOwAoivLGG2+88cYbqSsLCgqOOeYYuTxz5kyZyn366afu3IYuN9G+6aab3nrrLbl8xRVXpG325JNPtjH4H//4x3I/v/3tbzN/Kmcm9Hg8eXl5MhR2+42kaqOxAxFNmjRpzpw5RLRkyZK0sygsLBwwYIBcfv7553/0ox/J5csvvzxtJyUlJYccckgbR2nNHXfc8dBDDxGRbdsXXXTRvt49Nbg8//zze/fu/eyzz7a45UMPPeQWm2cGr4ZhuJXLneTOajh79uwrr7zSXT9+/Pj58+cT0axZs2bNmpV2L9M0ZXLt5tdE9Kc//elPf/qTXNY0ze2p0qJ33nnnnXfeSV1TXFwsQ20iKi0t9fl80Wg0bbeZPB7P6NGjZXr+ySefZF7YcuJEIrr22mtvvfVWuTxhwoTMXbXbc8adAvT6669vYzMAAAAAAAAAAOgxemAFtKqqc+bMaSMImzRp0oMPPpi5PjMl9Hq9qYXSHo/n8ccfb3GfTzzxhDvXHGNs5syZLba4veuuu9poTyzHlpkAElFeXl7qSc2YMcMtR01TXFz8+9//vo1D/PjHP26xDUhRUdELL7zg3vT7/c8991yLD+PIkSOnTZvWxiHaMGbMGLe3ieuYY47p4PyEvXv3Th1S252j58+f3+Jue/Xqlflcd8bJJ58sF1Ij42uuuSa1ujmVqqovv/yye9NNdV0+n+/2229v44gzZ85MWxMIBNKelJdeesmt2ZeCweC5556bubd777339NNPb/FAf/jDH9yG4AMGDOjfv3/aBnfeeaf7ILdYYZ3K7XIzZsyYtrcEAAAAAAAAAICegbU911m31tjY+Nlnn7399tvr1q3Lz88//vjjTznllBEjRqSFqm4au2DBAsdxFixYMHPmzH79+l1//fUjRozI3K0Q4vPPP//73/++bt26o48+etKkSZn7lCorK1977bUlS5b07dv3kksuOeGEEzoYs8ZisYULF86bNy8SiZx55plnn312nz59Mjerra395JNPFi5cuGnTptLS0nHjxp1++unFxcUdOUQ8Hl+8ePHcuXNra2tPO+20CRMmtDbx4Nq1a19//fUPP/ywqKho/PjxY8eODQQCHTlEG8Lh8OzZs+fPnz9s2LDrr79+8ODBHb+v4zjz5s175ZVXPB7PZZdd5jY8aU1VVdWbb7757rvv6rp+1llnjRs3rlevXp0bfrpoNHrJJZcQ0S233DJu3LjUHyUSic8///ytt95auXKlaZpjxow588wzM4vHm5qaXnnllbfeequ8vPy666474ogj2j2oZVlz5syZPXv2gAEDrrvuOrflSJply5Y999xztbW1N91006mnnvrss8/Kdit9+/Z123S4Q/33v/89b9686urqo48+euLEiYcffnjmDletWvX000/v2LHj8ssvP/vss9My7rbJ19phhx3W9mckAAAAAJBDN954Y0FBQVf+D5sQoqGhQRajFBYWduvZrTnn9fX1fr/fnc2lm4pGo/L7l3l5eYZh5Ho4nRIKhRzHKSgoyPVAOqu2tpaIDMPo7i0QHcdpaGjogi/2hMM/rGqMO20VxrkY0Qg/C6qCiIqKijqYDnVNnPPGxkbTNN1vhHdTkUgkFosRUSAQ8Hg8uR5Oq2Kx2EknnTRt2rRRo0bleiz7rycH0B2UGkDndiTQfd1yyy2y03QXv4qmTp26ZMkSIpowYcJPfvKTg3noFStW3HXXXUT06quvmqZ5MA8NAAAAAB2HAPpgQgDdBSGA7moQQHc1CKAPsp4RQPfAHtAAB9+jjz564YUXEpH8vZjr4dBvfvObpUuXyuXXXntN/m6rr6+X6TMRHeT0mYjuvvtuIho6dCjSZwAAAAAAAACA7w4E0AAHgGEYJ5xwwscff3z11Ve/9tpruR4O/epXv5o0aZJczpwwcOTIkQd5PBs2bJAlKo888shBPjQAAAAAAAAAAORQN675B+hSpkyZMnTo0CFDhjQ0NOR6LKTr+uzZs1vs63399ddPnTr1II9n2rRphx566I033niQjwsAAAAAAAAAALmFCmh65plncj0E6CG6VHmvYRhPPfWUEGLnzp2yPVOfPn1y1f7i/vvvz8lxAQAAAAAAAAAgtxBAU58+fXI9BIBsYYyVlZWVlZXleiAAAAAAAAAAAPBdhBYcAAAAAAAAAAAAAJAVCKABAAAAAAAAAAAAICsQQAMAAAAAAAAAAABAViCABgAAAAAAAAAAAICsQAANAAAAAAAAAAAAAFmBABoAAAAAAAAAAAAAsgIBNAAAAAAAAAAAAABkBQJoAAAAAAAAAAAAAMgKBNAAAAAAAAAAAAAAkBUIoAEAAAAAAAAAAAAgKxBAAwAAAAAAAAAAAEBWIIAGAAAAAAAAAAAAgKxAAA0AAAAAAAAAAAAAWYEAGgAAAAAAAAAAAACyAgE0AAAAAAAAAAAAAGQFAmgAAAAAAAAAAAAAyAoE0AAAAAAAAAAAAACQFVquBwAAAAAAAABdhRCCc55MJnM9kLYIIeSCZVmO4+R2MJ0hT8RxnC7+gLfLfRZs287tSDqPcy6E6O7PiKsHnAvnnLrki93igkjsyz2+feNijGVjSAeHEKJb/KZol3tFdfE3YcuyKOUXXzeFABoAAAAAAAB245zbth0KhXI9kLa4f4eHw+FuneNI8Xg8kUjkehSd4j4j0Wi0uz8j8ly6+Eug4yzL6u6fCshnJBKJ5Hog6SxOnO9DJujmh+FwOCsDOljkM5JIJLpyaNsR7htXLBaLx+O5HUwb5NgQQAMAAAAAAEAPoaqqYRhFRUW5HkhbGhoaZFFkQUGBqqq5Hs7+E0LU19f7fD6v15vrsXRKLBaLRqNElJeXp+t6rofTKeFw2HGc/Pz8XA+ks+rq6ojIMIxgMJjrsXSK4ziNjY35+fld7cWedLgSbSKHd3B7xpgsgi4sLOzWn9NwzpuamkzT9Pl8uR5Lp0Sj0VgsRkSBQMA0zVwPp1UygO7W1wwhgAYAAAAAAIA0XfkP3dQqMMZYVx5qu+S5dPezSNMzzqVnnIXU3c9Fjr8rvkw6MZ4udy77wh18tz6LNF3/XLr+CNuGSQgBAAAAAAAAAAAAICsQQAMAAAAAAAAAAABAViCABgAAAAAAAAAAAICsQAANAAAAAAAAAAAAAFmBABoAAAAAAAAAAAAAsgIBNAAAAAAAAAAAAABkhZbrAQAAQGcJIYQQqWssy8rcppNHYYx1fiftHiL1pqqqirLXB6VpNwEAAAAAAACgi0MADQCQYy2murZtu8uO4+RqMKmJcLbT58xDpD4IHaeqqlxgjLnLrrSMGwAAAAAAAACyCgE0AEB2uaGquyBz1cyy5U4ehXPuONzhXAguhCBBluMkLZsxxhipiqKqCmNMYSyetBrD8V3N4bhlh2yl2aKYw+KcxTkT1EI+G1B5UOOlpuhb4BtYVuQxzcxgt+tIzevbiLDdYmpN0yglmEZCDQAAAAAAAHAAIYAGADgAOOfyX5kpZ6Nm2XGcRCIRTyRjSWtHc3xXOJ7kFLFZyGZRh1mindi0UHP6eZytca3RdrtYKERGRw4ddpSwo2xP0FfNFm2pIaJ8jQ/08xOH9vP7vJ06q9yRTxkRJZPJNjaTUbv8l8ksHwAAAAAAAAA6DAE0AMA+kBW1btycjUM4jtMcCkeisepQsqo5GXeo2aaoo/D02uSOvoGPDCR3JZWapNYQPmBly0228lWTsvyz7RMHe4ZUlO/HHoQQVdt3fF0T2xayozbFHbI4aQrpTJgq01XSGDESusLyTLWiwCj2aYZuBP1er9eb1hjEcRyZ+wshVFU9sNXZ8rOEFj9RkDXU8l9ZRg0AAAAAAAAAafAHMwDAXmSsLCfxy3bXY9u2G5uam5pD1VG+sZlHOcVs5uwVNO9/lmooYqQ/+XXY+DrcoTLn/SCIzf0mMWznhrFDy3w+b0NjY3MonBBKnFPUISIW1IRXESoTmqZ7PabXNA3DUFV13eaqV9YmnN1V2ynny4mI0bcTKMof8c92xVOPq5IwVGJECU5OS6XfKhMqI10hXSGVyFQpz2TlfrVvQPF6PcUF+V7vASjcTv0cIrPXB2NMURRVVVE3DQAAAAAAAN9lCKAB4LtLhob7N9PdfojFYpurt2+L8DUhJeYQJ9oreyWllft9q8igCh9x7vQNaESkKmzxDh7JGP7JBbEvms0IV74MmXLNcSXU168wIkGkMqI93UKEELquu3fcFhUf1OxzWXdlWAmur9puFhMRkW+vn6WOrYkTxYhiRKKEC4Vov9uUOMRibd7ZEcwRlEw5lW0xWtPoEDlEFlGISDAihZFPY6OLRF+/0rd3r/z8/P0dUQtkaXaLpdOaprU4QSIAAAAAAABAz4MAGgB6MrczAxHZtp2lphmZB+Wc245TU9e4rbahMqTstNw3W9ZGUbPKyBFUYtIheSyoUaNFgwJM7KGqaiKRsCxL13UrGfH7/UTi7L5MUZSqKF9Z54zOSzZxY2dSWZfwDs0Xh+QraxqcEYUqY4xzTiSIKBqJpB00kUjQnnLd3h7zooHqvM2OvY+V301G3r5szmoV/5D+/nht/aZI+7F7djBB5AgKWfRBDSMS9M1Oop1ExIiG5jmHFqhDK3r7fV5NVQ94/bL8zENW2UtuHw/MhQgAAAAAAAA9DAJoAOg5ZFAra3uzMQ1gi0dMJpOJZLIxEt9aF2pOONUx1mCnRsxttb8oMsQxJWq+yeSw5cpYLCaEMBWzwK+Fw+HU7WXZLGPM5/O5jR2EEH1M0auUC6GWefRBlqWqqhAUCYeH+A0iNRaLtVbl7fP53D3LvTmOPWmgtqUp2S9PVxhrSIjPanlD67P0+VQ+uFBvYHqrW7TOU1J0en79om37kEFfe7hZFXbe3myfOUAjQW9tOfDV64KoslmtbCbaskOuGZrHK4La4f2KAz6vaRrZiIbls585HaKMpOXHAwf8oAAAAAAA0DVtaYzWRa32tyMiohK/UZHfXSeHh+8IBNAA0I25LQ4OQmmz4ziRaCwWj+8KJzc3RMM21SZYlLOUNhqs7TfVfj7qH2BBjRWYTAhqskSB8W25q6IosVhM0zS/3y9rlmOxmHtfVVXdsJiIhCDOHRlVpx4itaiWiJLJZGammSoajcoFTdO8Xi/n3LIsy7JKTRYJh71eb0BXgzprSLZcET3Mb0d9+Q3psyPug2q9aExF5PPqZJy3vJM+PqYr7Ptl6uIqe7DPIjL7BdRrDleTyWRMaP0DyonlGmP09marLt7yIBVGR5SoG5p4c8pZjOuv9w8qb29O9veLESVmwhFbQ3xriG8JcyvjUlrbrKxt5ouqdxGRQmJAgPoEtFHlgYJg0OfL7v/zMj85UBRFURR08AAAAAAA6ME21EVX7Qy3vx0REY0sCyKAhi4OATQAdA88xUE4nBCioampqTlc2WDVRJ0miyVEaglqR7M/hej4UqXcRwpjlmXF43G/7heCbQg5gwJ71bQyxnRddxwnHo/btq2qqq7rbgGsECKRSGSvi4gQIhQKaZome32Yprk2ZnxTzROtH+7YEl7FCtrds4fxQ8xkkNlrE+Zgj53gFOVKja2F+O7HsFHxnTZYXbk9sjmS/qhec9i35caTDjHmrKcjOFcUhXNuGIYuxLgBOhF9XddWHTQXVB8XCWevePqdLbuT+q1hqoomz+hv9PNYfU1xSl8z6rAtIf55jZ1s6dQ5sY1h2hh2Pt7RRNSkMlFiUkVQPaLM06u4MPVDgv0ghKhvaIzGE8qeCQw1VdFUxTRNw9j9ULgvAffDBnmFuJdKZwYAAAAAAAAAcMAhgAaALkqGrQcnbiai5ubmHTtrN0XE+hAlObNEapC3b6WmkwepRJR0hKGyeDxORJGwRUSMMb/fryhKMpnsrSRJeInUUCjk3tHn88myVq/XG7OcykarMsLH91d1RpZltV3L3EmO48iUk4jeqHJClmxg0mqaOaTEU8Va/g1ymCeRp3JGJIRQGGNEjJEQynCvlUgkmGX5iUaYZj3zrk8YRFRu2Nstw1tiHuOp+6JedVIe+edXJYnIUMinMyFobD9VUZRZ65IxWxR5WB+fsrHZuehQUzh2Xbyt4HVziBNRsYed0ld7a4uV9lW2zSHx15WJQlOZdIhBRAGFhhewwT7h8XiIKOmIqC1mr2/562+OYDVxqonzz3dFiaIKCa9Gh+azkUVqRd8+Xm9HyxBmfLhuZ1zYnGJOqyeiMqEz0hTya9Q3wIYVsLxAsLSkSNd12QrG3dJt1YIqaQAAAAAAAMg5BNAAkHuyj4RlWQchbpbHisfj32zdtivGlzcpKaXNrI3INc3RJWxwcPcdX93oCDnHHxERLdrmnF6u6goJIUzTjMfjmqYZhuGmgXLeP8dxVFUNBoNyVEvruZmwyzS7ljxD84RXV0eWKMML7HgkHD8wp94OXde/qrNrojxkt5NaHl0itrWSPhNRZdw4PhCPxWKmadqWZRhGIpGQBby2avhNDyNq5mx9zCASQYVXJTVOjIiaAyXneHd9uFOtT+71RCQ5JROCiF77xibaXexcExU1UYeI/roy0cFnrS4u5m6wSr3UYi+1hoT468qEXPapYky5XmEKIlKEY3Lr2sP3ipJDSf7hNnt7RKRdr5xYxKZldbSszqF1VUSUr4tTy5xDBvTNCwZTy5ObQ+E/frjN2Wvk7ZyFI5gjiDiFbaqJ05e1gqiZqFn+1KOIEQU0KMB7FReVlRQ5nLOUmQwVRdH13X26USUNAAAAAAAABxMCaADIATnnnuM4B6fA2bbteCKxtnrX9rC1JqTy3UmfQtTqxG4KiQKDDc2jAcHdaezSOr62WaiMzqtQTZU455FIRE4GeOFARQghmDJ7k3PxQIUxFo/HZf0sEXm9XiFELBaTHTbczgkyEORCJJOWaeijC5ltM8uivjwaiWTz4cjg8/m2x8iwrB1RamwvfR7otbaxwjY2cIgJQV6vNxKJ+P1+IjJNMxQKBQKBgK4Q0ecRMy4YER3tS2y3FI1Rg7P7oGvVXqV9qJSoQjR9UM3jrZcD77edsfa3iTrsna2pbT2UEk+yb0ApNITOEyV5fr9GY4oTRh/DMIyGOJ/7jV3qY/UxYWe0oW6y2PwqjapqiGp0JkYWir55+rB+vf69utrZx8r6tsU5W1pPS+tV2tJE1CRXBjRxaJ4o8bCKXgWlBUHD0DVt9+99TdPkJyLIowEAAAAAACCrEEADwEEi42Y5Z2C2WZYVjkQ21YaqGuMbY2ri2wnu2pwk0LTLAvoheYoQwk3lamKiKsJrYhSySSE6tbeiMUHEFEWxNY/cjDG2pklsCDlEtKyeD81T/B5P2BIBnbnjkafv8Xg8Ho8QImbzrc3Jr5uUs/vrmqqEw2HZ2jhrD0mrfD6foiilhuUQi/JWE3lXoYftbG+bjyLeUtVS1fwhZBMR51zOm/dx2HOENzHajGiaVmsry6K61UoIu5XlD+trr68ORbKQQe+H2rgQ3PoqqRDptCOpMTp7oN9vsDUNvKrZJqLDCtUBA5S4Ta+sa7VTiiXY0nq2tN55fdOOfe3rsn/CNltaz4iItu1OpX2qODRPDC7xDygJ5gX8bh6tqqrsOn0QRgUAAAAAAADfKQigASArZNYsK50PzhGbmps31zavqY3vSqQGqS28y+kKDfCzch8rMklnQlEUInq/OlmV0E4sV2wuGpJUHeHrQsKr0rkVar6hbAxzIuJEX9TxpiQFdSrTrQH5Zn1CqEzUx5wRBfqIAlrdyIfns2g06iiegP5tlqfrum4Yqxr4yl1iqC8aclSbaWP7mH18FhdC07RgMChLqg/CA5UmFov5/X7DMD7e6bQ47V6ahCU68qtjp6MTkZEQfXUrEomoqlpjqZxom6UN0iwiUohaS593H4hpA/vl79jRVJc4kBm0QtTuWQ70O5v2nhHRr9GpFea6utjyRo2IbEELNlqD85TGpKiPU6nJm6JJLd+jOfGrhumapm1piJcEzZmVWWzb3UEspTkMEUUd9lUD+6ohRutiRBTQRB+fGFXm71PgLSkqlK8FtmcKRMxqCAAAAAAAAJ2HABoADhjHcWzblk2WDw4hxKat1Z/VJLbF3GkDW8g0VUaH5rH+fpZnMHVPnuY4jkWqojAiemWjMzCgnVHCiGjOZk5EIwvYab2Vd7fz5qRQFTqjDxPEPttlnd5HF4JzznXd05wUMUcUeZU8QyEiy7IqtATnXvkIyNkF5cx+lU3iqwY+OpgIqHqBLiqj2iF5RESqqkbC4ew/Ti2T/THcSf+2diz97u3Xiyn8DQ90ZOPNlrHD1kb5FYOJ5RGdiNXYWo0dDIhkmBlE5CMrSnprd3dIKSvLPytglxUXeE2DEYvEE5tqGuau60AfjZbkGWziQEZEQtFmr7eimS0ziIgoLX0moohN/9yUjDt7/dJsTIqzyh3LsnVd25Y0Zq9PXnSo13GcRCJRYnJmxX88VCNVi1hCV5gQwhEsanMi9s9NLU9peEAcXaYNK1Be2pN9t/1qDNtsXTNb1xwjihHV+zVRZNJx5WZFr8KC/Dy5jZtHy3gaAAAAAAC6FEeIuNXRrxozxkwN/7GHgw0BNAB0imwucZAPGolE1mzZ9sEu1RJExFpr5dzHK44vVXXl2xLOhCNUldGeCQATSfuf29gpvZXJg3YHjq9sdCb2V3Rld2Ncud6yLL+pL97unNCLMYUppMpTzjNYHrG3q51yH7M4DQ5qUaZ+uINOKmBydsGVjXzNNm4Lh0h8L2AtC5lE9J8mD5E4qki1bVtV1UAgQDIlFIIxFolEDlqCH4lEgsEgEyLBaf6WDj2JE/orhw4aQERHc768csNqUdDuXRJC+SzqZbTXWcn0mYiiQmt77j3OlC8i+kX9PAG/n4iCwUBpceG8dSs7/hgVGOKCQ0yFMSGEZVnxeJyIfD7fxIHi5fUd3gtRZkPq+rh4bzudMSCgKzTEywbnKTGLe3VVVdV4PG5Zlm3bRKTuqblWiAJEqqpeNczQNM3iYkWt8+WuTr18evvYDwfo4aRg3PKYRlWIr2pwPquxM7e85jDj+VXtVGRHbBaxaeu6JK2rYbQj36Az+7FhQwZpmpb6Mtd1Hc06AAAAAAC6iPW7Qquqmzq4cWnQvPjIflkdD0AmBNAAsA9kS42DXOYsWba9sWr7sp3xzTH5xtX+21fcYY7Yq7zWVFksFrNt2+v1EpFX135Y7iQSMdJ9RPRWtXNUERnqtzmjbF4s++QeV6o0JZlPiFA4HAwG5QZbwmJcuUJEjuMwxnzk/LCv8cqozXn6AAAgAElEQVRGz6F5fF2zfIiYV+V+RawIGykDYbM2cSKW2g3CYKLcYx9d6juYjTjk3ICf1Xb02ZTpMxGpinLkiENHOc6itdtrhdnuHUVrMXMHOjwIYgvXbp945CHypqIovzip/OEPqqnt6FpuTDTpEDO8p8xcUZRAIFAT46+saSGibUOpl32vRF2UMjPhGWXWx3Xa2YM8JGe5jMfl+lCciMgwjJZ2Q0TkOE4struCe3SJ/8heKmNs1rpE83616xjbT9cUVuBhgkzB+eB8ZWCQZMdtucGuKO/lUz6vsRdX2yUeitsibHeoq4Yg1pikV74h+majxuiMcv794YN0XWeMWZblzqWpqiqadQAAAAAA5FDC5g3Rjv454dFR/gw5gAAaANoSjcWSySTnwnEcj2noeqvdErJBCBGJRL/atOOLBrZnIsF9eNdqSNKqBn5UyV6lml6vV84x6DiOoihJoYSYV+NifbNoStLWKB2aT0RkOUJXGec8kUh4PB7LEQYTPjsSi6m0p70GERUrSiQi5A79fr+iKB/WcCLakz7TEJ+9IarGnPZ/xycFOzxgW9ZBSvHcDD1iiZPKlHe3OXWJdu5isPScWlXVcSP61dbVf7Yz2iCMjiTC+ycsNNt2NG33U9mrpHhwoPqbDjQvmTx0ryDY7/f/dWV759mSnTGxPcxP6WX9a9ful8DKZvVHwzzJZDKRaGGHyWSH/v/nfthwfoVuK8bf1+1za47/W/vtgb5XrPQPqiVehThPJBI+n4+IevkUIurn40zV8g3No337HH2+017WsfprW9Cb1cqb1Zs1JsaWK8cO7+8m7I7juMXRiqLEE0nOud/nPcjvFQAAAAAAANBlIYAGgHThcLi6tvHTjfVrm2lP7LubqYjLRgYH9u2TeS/LsqKxeNJKxi1eF0s2xGyLi6hQo1xVifsVkac6Jx82sINjqGto/GJz7ZpmlhBKax02+vv4gKDq11hAI1VhRPRmlVNs0saUXLJ+TzoXtcWOGG2Pim1RkTIH3V7T0fX3WFviOhEt3OaMKVVW1/OArtTEzK07+KhC1tvHPN6AqRIxJgTZXCQ4OYKCOsUd2hET/9zUwuR2pbqzoWPvtEGdPB4PY6yD2WVnmKYpS7aFECvrrI2xDmWFZ/dteX1JcdFZxUXRaPTzLbVV3Nvufk70x5ZEPM6+pNWH+7mbPksXHtXvoX9Xt3vH/1ubvPZw0zTNRCIhy973m0lJN30mIk1RiEjXdcMwZMONzuzcsqxg0HNCb/WwYi1qiQUbk2GLDEUk+T48Sivq+Iq63RdhvqH+vwq+OcQ/3+kQkcro8GK+pn73PJMelfw6C1v7/D0GW7CF1WJh9eYfDtCPHzEgrer5Pysq/7Fl93KxKQ7NV44bXNKrpBhhNAAAAAAAwHcZAmgAICIKhUJbtu/6YEu4OuKGzntFSwqJUYXiyIrC/n1KiCiRSNQ1NIUS9uawE3ZYWKh8r5hY2/vtRY1xquXCqNz8vX4lPp+vxW/rCyF21tZ9WtX0TYglBWtxOkGpr48d14tZiaRtx8mhaIKIKBgMnlqc9Hi8G8PfFnXWJeiVjbtv9vZQkckKC9mKht25W75Oo4pYLw+TfaI5Z0UhSjhibKlwnOSIoKLrej+fiCWtmKNHbCKNwjYt3uEUmxTUKWRRhZ99USdiNoVa6ejwSZN5eCC5MtxqQwapWHdOLiUiJRqNtr3lftN1XXZQ4ZzLRgo7IvbHu5gl2gkHe5t2v6DaYOQtF8qKdXV+kRxo8kMr+qRNSefz+U4e3v/9VZu2k7/tHX4U2bcgeJgaGlSWHn6XFBddfOiuWevaD+ubkkJJJIgokUjIbir7Z2nDt/dViIYVa5uaHdVJBgy10O/xeDy2bbu9NfZDOBwu8/mIyKezS4aaRLSp2flXtW1zOiRfCdsiYlHEEs6e0PjoIvuIPv7V9faKOiezfUdTkpbVOsf31kb30v66MuEIilriyhFmdcgq8WlhS+yI8DUNPOHsZy+dtzZbmxrXf6/MU+jViwvzZbh/9OGH9utV+8qK+vokq0uwup1iyc5dRLsKDDEoTz22Iti/X3lnngIAAAAAAADojvB3IMB3Vzwer/xm07ubk3UJskULoTMR9fXxH5QZQ3oXNTSHmpPO8vrkktodSVL2tPRV24iJM7A1cc+a9WFGod6aVWrwAoMNGtCfiKq271hSHdkSZY5odUZBIjqqiAYEFJV4PB6LRb4tN9Y0zTAMIYTX632raq+WAiUeOr6XopAwVSaEUBTloxpORH6Nzq1QZStblTxELOGQzqivGk1Gha7rpmluiwov5/k6O6lMYYzLRrdCiHN7W47j+P1+2U66d5B5PJ65WzP6U+yxMqwX6rzBavW8GIlj8xOGEXQ7exxYgUBAnru8yTknIssR/9rZdnWtOL4gUe8tthSt3l3FWJiZX1v09YaGkWrzsMGD0u5zyogB767eWkudqjVOU+kEK79pVqmxl2qNLguW9y6T638wctjc9cv3XLqtWvBN8orhQSISQnS8d/k1hxnEWFOCz15vEVFQZxcPNbjDp6+xiGhAgPcPKJzzWMwh4YRCCUVR/H6/z+fb748QhBBFHuX9KuvUvpplWclkspiJSwYbpmkKISKRCGNMURSv19uQEF/utJluvrQmMXmIOqLIpD39yokoZouGOP9kh7OhiW9o+jaZXt/E1zcliCioJycPNYs9yuHFRESWIxZXWZvD+5xEr2miNU1xojhRiJHwqORRaVghO7Fc2xW2ltR+e8E3JtnSWr60tomWNnlVcWg+O7YicMiggWgbDQAAAAAA8F2AABrgO0Smb6vWbvi0Krq62Y1+0jMgRuKsckfT1fWWP07aigSt2Bwn0okOzPfoBbHttr7DplHx+peXrNuWkG9ELeezCtFpfViRyeQ8b4koEZGqqoFAQMbBROQ4jqruzsHP7Ks0JqnAoHg87vF4YrEYJcn0er8JiXUhcWa5OLFMkfeS8+9pmsYY45ybqkKk+P3+JBfvbRc/7Eu9dDuRSKhmUGEaEVmWJbv96rru9fmEIFn1KQRVRbigNvI71lp9tHTxII0o2MkeDm2T0WQ4HBZCBAKBWS11C3GZijiqF6vRCmra2Iixr3n+pspt44b2SY0RFcbGHdZ/4+Ytn0Q8B7YltENKjaP/6ZOdjGouGMSOOWIkY+zW48r++MnOtu+YcIj2tO32+XwFBjV2oMfJzLXJy4aZ+Qa75jCDiGqinIRQVWVsX+39arsqqhCRqqrycwjHcTjnnf/8IBIJn9rX706ZSETJZFK2ZJEXfCgUCoVCGtExBaTr+sgiw30VpM5dGSQ6u6/m8XiI6PlV6WcbsshthK0yumqEecYAg4hsTltDztYw3xrisQ61hv6WIBZzKObQkhoictr4GCnmsOX1tLw+TF99TURn9hVHDO5bXFyEMBoAAAAAAKCnQgAN0PNZlrWzrnHphuqPdilOK5XORBTQxNElvFYJREhfQ0RZiEMNcoopbvDklyGDC/Zu63WyxSad0ltRSSSTScuywhYpiiLnzZN9JFJDut3jDwQ455ZlFZimXBOJRPz+wEc7eXUNJ6KLByqp9/L7/YJIYYxzHnXYW1scR9AhQXZUMTu1OBEO24ZhyCPK7FveRSa5QgjGKBQKqarq8/k+3tVO9aipCNtpOV8bV2oTqbZtZy+AC4fDsu2JLIV+p7qt9Dlfc0pL82tYhwrbw6pn+abqIwb1S1s/aED/QUQfrdm0mbfTjmOf9OWh1USC2JyNNGfj18Pz+bjD+ozvz+dvaWeOx39uTJ5Z4Y3FYtFodNIhgcxMNlPMpjc2Jcf1U2RXjQBjRP4XViXOG6xfe7i5YOO3Lw+v1yufO8dxYrFYx4usMwkhMi9sKXO9rN9vbVe2bYfDYb/ff+3hptzz39Ykk3ueeUa7PzBxBD2/KnH5MENnnBGVKNGSPDoqn/n9/rQLsibKP62xGxMisY/ZdNvermZvV28j2lao82PLlKNHDPL7fGndXQAAAAAAAKBbQwAN0AMJIaLRqGVZ6zZve7fKakjKNKflSLHUw4cXsGbV2yyMzdkZTgFLBpx4VUypttRqYkRm23dgjE7vo4bDIbfngEWKR2VEJNNA226holjGrKZpyrzY4/HUcfOfm3anZUUmcc73xGoyWROMsQ9qnG1RIhJ9vHRSmRKJRMJhQUSmaRqGEQqF3ApTRVFs204kEh6PJx6Pu4E4EZ1Qqnxey5Ot57o+RURaiu1OKWNBQ3UcR9M02UJB9sc4UFRVVVXVtm3ZF0K2iWhs/aMFUxG9Sgsctg/x3wbbc0RL62vr6rd0YELCfWIKO/UyXtOkrPmkpo1iW1eSk7yWGGPhcPgnI/xLaviq+naS1G0R8XGNOKZYtyxLRsNXjggs2WEfkRc7u8J081kZDZumqWlaIBAgIsdxstfLe5+4ZdG6rl8x3GSMLdxi1cecE8qNiqCyLcK/rnO2R/iaBieUFMeW/n/23jzKjqu+9/3tvWuuOj0Pakmt7tbUkjzJkm1ZRh4wU4wNBDxdQgKXcJOXvJC3ElayCGtxF4/wSG4Ca4W8kPWSYALYNwN2gjGOjbGNZxvbsmzZmoeWuls9z6dPzbWH98duHR11nx4ktSy1vD9/aOlU16naNZ6q7/7u7w9yuZwQIkmSot5t27amaUmSOCx9fz1yXZdy2DPK8gnvC3g0S7fKWTCe4Sd64Ime4wCwNsevWp7bsLLOMk3TnOd2oVAoFAqFQqFQKBSKixwlQCsUlw6c86GhocnJSQAQQkRUPNfHx1O8zmNH/Onq80qHr6pAPnF8ofcAzAyQqCC8yWT1OjcwAMDz4wY7k0QFAnw5CkcjdiLWhgEtPL6jQodfW0EAwTjyhmIeM6g1UZ2FbA1xzgkhc0i0UvVzHMcn7pO9gpZ4UTdX485AWBpqsgTnLI5j0zT7E9IXAgBsqkIbKxFCSDsJnBTvioZWzrmM4JBuaNu20zSVsuYKG4166NDkrNbXeoMNZ2U6AHpCaLQ1LgAAKKWLqD5LsRUhZBhGIohjQhRFuj7PUdhczYdL1OcVJE0EGuFzfUsgXBqBAgCU0heO9g9wayHS8DQcxFcadILhCYYbNXYi00rd+sPxWcqdo7H40SF6WY25bZkmW3hVRbJ9mbN7hO0amkuGXpXDnJ8S7MMguL7RwdjlnMdxbBhGsR8iy7IoiuQR9DzP87wwDBe3O+FcKNqlb6jFuq7rOuoPeLWJPrxKT5IEIZ6mKWcaRUjTNMuyit7q0rKKRYP2Ohuwi80mEwAIIT2+OJZnR/NcALgabGnQBEBMRT4VPT6PKBAEZ1Ts8GgBHz0UwKHg11r0lR62bbumpsZ1F9NNr1AoFEsOIcQvfvGLf/iHfwCA3/qt37rzzjvLzpOm6U9/+tPHH3+cc37rrbd+8pOfrKysVDFHCoVCoVAoLixKgFYoljxCiBO9/S8fHz9RYJaGCxmEVGQlwlep+tzq8pYKNILcCLQBmNKdMYhmi9Xr3CMCI+CcM8bSNNVAExkwTSOE3Fyd7vM1A7ETqTFHY1yUNUJ4xMfDGRkAPIcEuaMBvTRURpSazODBzlOa4L1thDEGIBgDqajOnZXsum6nL3aOijU5uKqS/6RnqgGHJsWORlwoFKQl1HXdn50QCRcAcNsKTLIwiSABEEJIe3VpkIKu6zLkt3RFUp4umqCvrOYVBto5UmaLTCT2B2V22pocbKkBADGZQbU5z3adEYYxVblOfnxqAH2qBWOMNU0bDGeVRA0khq2a4kcXWCzQKJ/nZ8ISWan6zDn/r0NDIbLOqMEVmF1upxgBAFBKG6yplbaYVAiIBXonNDLAHYWzf3/mAvaMsj2jrNZCH24mrutyzjfXkavrtYmY/0dH5moQzDDWP32Cfn6TjU/anGUxQABwXTfPjQaEwjBkjAGArFEpvyXN+K7rCiFkQvRZN3vRkf0oSZJ4ADzBCdNM05Tp1XNnesxcTlGbrgK4phpfX6/JUQKUhgAAGmAHX1eDNU2TPR/HxxNgGRXw/NBCu6Oe6MoQQIOTbqkP3hxMr19uXdG2rKKi4ky3WqFQKC4BhoeH//Vf/1U+jcwW9/T000/fd999xfvzww8//Oijj95777333HOP0qAVCoVCoVBcQJQArVAsVTjn+w4eerwzG0tAwMlk56T8C0mrw9ZW4y6RY4BPAACI673Q1ghCQCkVQhBCwjAMTn+fkdXPpM8XAFYJ4djOGkcIgMOh1mamGOOX8iYA1EJUA/HOvDEsUGc5s/OV1Wh1DmEEnZOs2SOWhoJMuJr40HL8Qn82NsMdjBF8ZDn2NGBCEEKEEDIKQ3qT5yCKoracY7Lw9Umzo4ABwCLw8WYcBEGhIADAtm1CSK9PhZjK4tCxsF0XAGTChhTRHMeRepzM4igbznuyCKGQPuhKXZRxkgMgDDBDgbyrBWMEAoBSagvGubGIbllKqa7rGGOZl/2pFswEuK77TB8bSWb91vZadqLkYwAk4PMnQV/pnmq2EOIXB/tCtNDMhCvQWKVrMwEIBEYITnrYEUJxHHPOZaKFhcQ2L9lTwMfpIrw8j8bi345QgCmxGZ08ZJ9utwAgouLfD6eldt0f7E8NLD6z3kmSpCglB0FQoWkTqcWRZUAAANNU5jAMEUK6rjuOc+7FCc8TnPNikcNFWdTMiZzzYoR6nQaWZyGijVK2d/b8k811+MA4v3ONETNxaJwdm+SDoXiyO2MCPXIseeRYl4bE5dXwvtW1Lc0rzr3lCoVCsSRgjP3whz+klG7dunXXrl0zZxBC7Nu37+/+7u8IIZ/+9KelP/qFF1743ve+9y//8i/t7e2bN29+11utUCgUCoVCMYUSoBWKpYQQIgyj1/cdfrKPnNTIZpXkMIhVrthQjQ7zSgDRDbDapivNFADiOKYxLV/sbJb1yv8Uk21XAmQR5HK5W6uTlImn+8RBagKAieGaynRFpdXr0+WejtFpSxBCNGmxpXlCgKujO5qJEOIDyzWE0H928aLq9/5lqIrQJAmD2dXSUjRNs21bttGn4qFOfkOD8+urACE0nvAqQzqnkZSeAeDISPhm4ZRI+ugJcWerEIzJiGRK6bHYuIwQQohlWUJMScwz1xtFkfwKADAunhuYqSCLOp2NZNPvtPe2kTRNwyRxXZdomqZpixsZzDkvhv8ihFzXZQL+8/g8PtyEaCZPM6TxUzHZ81DPg+blzcWPLx7oHAdvgY282o5cYgMAQUApY0JImRIAwjB0HIcxJsvoyZJ0V+T45e0GQujBw+lkdjaF/tZU4hOF6VHdJztv4L59yTIH39BEPrfRgJNHHCHUOclf7Mt+cJB+bqPt4FOWZ0qpBr7neVx4jGYynuW0JQuxWPLuJYM8xJd5cG3DLJUGERoO+TWNOgA4OtrehK9fJiilhJA4jmVPj64bCKE49HfuOXiiwNZUkk3r12oaUeY+hUJxqSKEeOKJJ1555ZUvf/nLHR0dZQVoxtiDDz4IAL/zO79z2223yVviBz7wAdM0v/Wtb/3FX/zF/fffb1lnNj5JoVAoFAqFYrFQArRCcbEjR/EPjOVfPTq0e1wqg3P5UjUk2jyxthp38woLC6bx91sx51z6ef3FiHmQKbGU0kKhYJrmq2PE1uCjzYQxJoTQNBsAlrtEcEaFiOO4dKAoQiiKIhnlXBzvTwi5s8V+uo9zAB1DzICYuqfr00zHGGNCiGmaGRcGwb7vCyEcxyGEJFTkUwAk6i105yqIoiCOSYTMCgMhhDjnsjCjdNSuq3O6UjaaAAB4RHy0mcgVSTX5xSGRz1CLJzwdHSuI1TlEOWBRxp4s5xdCCIADeU5niKLrHHokLOMHf3WIranQ+zKNj8PVtej8OWRzudzRPNvVOau32kS8ShctDk+w1pHIjF2Wg7TeoMNaBcyp6K1D/pXrVxU/vn7weM8C1GcP881OUkioSzQ4qUjquq5pGqW0WF6y6KgNgiCXy2VZVpSnP9lmEaIBAEKIcnjyBO0P5jePY4Cbl5Ms46Zp3rfvlFi8phKPRnwiBQAYCPkvu+ntzXDE16+smzorahHc3aobhgEI9oyy/kC/daWdJbE822XaxhsjaHtTTgiecmRpKMuyNE0vngDoi5DSHhfDMKRhP4oiSqkNULwgdF2XfwUAx3EopVEUFTV9DNBigsjI4cOHCCEyj7u6uto0TSVGKxSKC44Qoqur6/nnnx8bG6usrLz55ptXr159dnenKIoeeeSRK6+8cuvWrR0dHWXnCcPw6NGjVVVVN9xwQ3EtCKEdO3bcf//9g4ODBw8eVCZohUKhUCgUFwolQCsUFylCiHw+PzIywjnPJ/yho9ncJd10JC6rQZfXElPXaJYxxmphkjHGKZ8RHXGWSBOxVJCL0nCSJNuqDYxxoRBKFaloEZ1tu0p1Ron0uu6o0RBCpmkeL3CCcZZljuNIz+O0hQxGMJlxHTsrHEQIerk/uapWP1oQ2xuwXL7ruoUMqnVACEmdWormQog4jjXTHk2gvRJdVY04577vS/XKNM1HutlKg62rFs8PgE/hY82YCUEQIIRlBkhpM2QEx8Bk9MJY+dCJ/oQgEOJ0N7GD+bW1GGOo0QUhZHHVZ4QQIUTXdUJIR0E8Xs71XKOzOoM7BpkEoyAMDnAcAErE0gIYhdRw0qjKxgVcxi3VIMLrWhpM41RgdH5y8iifX33GIDY7CQDkTE12Cch8FRl7Uow0kTMXFWdZ8a+4kNL/A8D7G4hpmkMx+kVXVtoHUGOiT6wxOicZAugq8I48f6wz+8BKff/YVLdHexW+cYWeZZmfwhM9cHubnjGosVAYhlfVawBAiMwfPxWO3GrAOlcnSBtg5goXyasgDMPNVUQI0hOI5S6Koki6zi/CAOiLk6JPXNd1z/Oy7JSdvDSWWmZJm6Y5zWzOGCvu5EKhMDQ0ZJqm4zh1dXWO47yL26FQKN6j/OVf/uUDDzxwzTXX3H///aXTd+7c+cEPfrD4K++67pNPPnnDDTec6fKFEF/96ldHRka+853vGMasdThGRkZ8329vb59WshUhdN111z366KNdXV1KgFYoFAqFQnGhUAK0QnHRMTQ0lM/npSjjOM5bw+zN4Vk1LIJgazXllmMZ+mo9TOIoi2eb9+yRRe2SJCmbFFE0JJ51GT0ZdoEQ8hNKg6AeicOjer2NMQGcBsVCf3L5mqYVMrZ3AgHAW2OCgNhYgQwCWyozhCyEUIoMwcHBLAyTogtV1/UoihzH0UzbIOieVhyGoe9zuXbNtJ/q4z7lBhZXN5o/7eI3LcPVOscYYgbAqG3qMwv+SHPusgp7M4jdY2VCIRI+3ei03sk2N0zZMyml5568IXNFZEjIYCR6QhiOxWQGpynKAKssWmvwgNgFoVPA4wDj84VYhKDHkWi0Ip/YckoFj5pt3Fxb6To102Y+NpwHmGdgb5OWrbFOdTwwxqSPXpazkxqi7CcIw7DUPiyt66W6ZCmMsTAMPYDfWGvqup5x+JdDKRMwloj/fTC5o003abisBu9osh88mv7rkQwAcjq6Z50ehmEUUUpphePcsxbSNEGUyo6VQqGgaVpZ7VhKopUAcayVtiEIghqEhiPHIqaLaaFQIIQ4jhPH8SKWl7y0mbsK4syOqzlmC4JgbGzMsizbtuvr65USrVAozh9vvPHG4cOH/+qv/qp0YhAEn/nMZ6T6LKvUBkHwoQ996LXXXrv88svPaPkvvvji0aNHf/d3f3fuW1lPTw8AWJY1s1pGbW0tAMzW4f3iiy/OfMKRlRjK/uxePBSbnaZp+VinJYWsRHKhW3FOFB+cZIGZC9uYc0QOdFvqR6TIxX85z4s8oy7Ciz3l5YsAzc6pG9e8Y2LOzMhyJq0499NbCCGEYIwt9VOr9MZ1MW+LlFyW+q1VCdAKxUUB57y3tzeKoiRJsiyTeqJt2z0+L6s+EyRurKdjWoUP2gigFou2GkkYLvIdU7ZBmprPa5StYRjyB9gzNWTpjLFmLbUsHSHEtDI13DZWeRurQGqUhGhTJQqxCQBRFAGlGcA0HSuKImLn3hjhW2tREASl+iYx7Ye7pz6mHO0dFx9fKaLIx6b38hC/shoLrLNZbORRFFmW1V6Jd5crqrbJy94unDIrXV2D1leeUmnPcZdijB3HeW6AD8Wy8dN/jTTEr6lIR7FbEHoEuKfMLPPAASUJazHGVi+rr8x5hEzXnYvk5ysPiEAsR+FLfkU1JJd5Ik1TwzBmHllKqQy1KJXmZdIFIcTzvJmlIIskSSIfGj6z1sSa/sMDacbh4Y7sC5vcIAiYEOuq8Dsj/K61eqUxZV6Wp0HZboB5tc6ZMwghqkjyTD+ZzMS9a90gCAqFgud5lmVxzsMwXOpPDEsL2SsQBMH4+Lht24ZhLFu2TLrsFQqFYhHp6OioqanZunVrcYoQ4v777z969CgAfOlLX/r2t78dRdFnP/vZn/zkJ3/zN39z3333LTyIIwzDH/zgB/X19R/+8IfnnnNgYAAANE2buXAZ/Tw5OVn2i3/6p3868xdt+fLl1dXVF20R3WkU614saYqPMZcAi1va5AKyVC6BeZHBiRe6FYvARXixZxzOKHWv+DYwx0vNqYWfiYtFnMmbHmNsUU6JS6ngTRzH0wbaXlTIti3110klQCsUF5jjx49nWSbDT+UUmSyMEIqoeLJ7+g39Eyuyw6IqAdwNCAAczLdVpADC9xfzUY8QYtt2lmXvzhNkFEXTpnieJ7M+yuqA036wixmyc/yOOo6DEG83gzjWiuqz9Ns+eHpE8pU1GAB3Zu7+Tg4AN9SDECyc5V5PKZVveve04p92n1bgrtmibxdOBUDfUA91JCkU5rdwLgTTNH1G/muWcOcd1fExUZUB6gDvTEXnaYwJ89aVtZ7nzj1bs8n75jxThIBdWaUlsk0eB0Az80xKkUXnpvX5l36UWd6zPbclSQJJ8oVN3vf3pwAwFIkG1xVCtObIOyO8x8lcbkQAACAASURBVBfEOF8Pr5TSX1tl/OAgLb7/L+ThUnFekQk/ADA+Pi7PnLa2NpkrrVAoFOdOf3+/bdvSZSzhnD/22GMA4Hnen//5nyOEHMf527/921/96ld79+6drbLxTBhj3/72t+M4/u53vztH+IZESgCmWSYTrDjuauEbpVAoFAqFQrG4KAFaobgAUEqHhoYKhUJpnyFCSIojciQLQsjQDYyACfA0sa2eDyIvRdoxJFZZvNlKn58wmnS23mUAwNiilTszTVOmVVxA4SyXyy08uEDTNEJIFEVz1HyTBe6yLMMY27adJIlhGCOJeHZAiBnVBX98nAFAtQF3tWDOaBBMF1Zt2y5VzBljaZratr3CQcf9KVHVRGIowXAy/ZkgsdIlCNkAwDk/x957z/OeG+BDMzpoXcK3VNGDrPKQODVK10QiEQAlOdQYBAdkYaGB8Pn8o9gO9o9ds24eAbqupgrmNuAjdIUYyrku5yIMQ9M05+hhTtN0brNz0RAthew4jme+V2dZ5mhwR6t+cJw/1c0+027YzP/8Bocxdj4MRrIx8v8Y1Ev+xYgQQvZR7du3T45SX7lypapYqFAozpGJiYkVK1aUCsRRFB07dgwAvvzlLxcTmRsbG+vq6o4fP845X+AQ8jfffHP37t133nlnqbo9G3JFsvLztNua7MEtq00DwCc+8YmZo7z37t0r49EW0s4LQun4ccMwLrZR+WeE3BZN02bGpywtimFZshjJhW7OOZFlGed8tqtmCSGftzHG83ZiXeTIy+QifGzDXKAwWbjjp9j8hWwLIRmcn9cKhNA53uEvmRtXlmXFKMilvi0XP2r/KhTvHmmajo6OSgVkZoEymXIrnxJM0ySa/tix+JYmhA3T03GNzlsEpTQ2DIML6EvwzVWpXCbn/NxDZmXaBgDIGJBzXNo5Mi0iY25Kk2HL+moJIYZpDhaS5ZUeFwIAHu3X2AzduciWWrTGgziOw+C09zHP89I0JYRomibVxjRNkyTBGBfAen2ADZwUpTGIWoP3JcUnb3FXqwYASZKcxRglGSUsJW/dtPpCeHyG8VlH4vIq6BHewZImu5hfW5FhBEKIZyfMtTZLODQZDCEwERAkGGOapr2W14M5ZeijIb5mzhYmSfpCTwFgrudaR6TWyfdDmVs992nGOZ95NH3fLwrT0tbqOA7C+PVRrTlnVJmo2kSyCqWu68cnuaOznIEur0i31E1lvJw/R79slWEYhJDPbdCW+vCoSxuZzgEAvu+bpmmaZmNj47SyXQqFQrFAZj6x+L5/6NAhAPjYxz5WnEgIIYSMjIwscLFZln3rW9+qrKy85557FjL/8uXL4WT27jRRQz5bVlZWlv3iV77ylZkTf+/3fk8+7Sywte8+QggpEQKA67pLWu6U+bymaS71nKgwDOUzuUy+utDNOScKhQJj7GK+BBaIvPwv8st5IUiHluM4F9vFnjCOxrNp1XfmBMlURNd15+050/UYYKEv5mckzUsrz8Lnn4mUIHRdX+qP0EEQyBdty7Iu5m5XeeYv6d5WUAK0QvEuwDkfHh7O5/Pyo6yZVjqDbduUUsaYruuJIGFKbYwxgtvbjCzLGAt5wv2TPz1StssBFBYpbeldTttYCAtXn6ch5b8CRS5mcRxbllUcaF/hmADw0CyZFUXqTFhXUT7KAyHUF+PXx9CnVmbytcd1XV3X3xjOjgWnPQk1mbQ3OTXAv0JHskSDaZoy4HuB24IxxhjLHxvTNF8eEn1RmfbbmNdW2D3itDastbJVNuecU8YJIVe6mctCTdcYZZzz6GTPh+d56x2629cFzPrIYgIfHh2rqsiVTS2I4/hnx/J0TvUZAKoh0XVdSvaGYcxhf5YRNHDSzDWtIGGpBg0nBeUbGq03h5Jnekr3QNrkoI+1EDnnzIyX88QlE4L2HkHejcMwnJycNE3Tsqy6urpi1VOFQqFYCI2NjZRSWehYTvnJT37COW9qampsbJw288KlkyRJZB7lXXfdVTpdPkXcf//9DzzwQH19/X333SenNzc3A4Dv+1mWTbNtdnd3A0B1dfUZb5tCoVAoFArFIqEEaIXiPNLb2xsEQcbEC310NGKNDt7epBffPGQRuZGIv3iCuRpqNONEd3wwNrhE04R8mTmvzZNpG3EcXzIxtTK6pNJ1EdIJIQJQEASu63IhHu/hCDicLrO2V8BVNTjLMmnTyLIsyzLfn1Wk3jWOAEDqsLqu/1d3FjAMcNrL5AqDlarPAOBiCmAkSbLAmuCGYQghTNN8picdyYQA5mngzzL6yiW8KmcnMP2FdpxhP8DrjEjXdc65mUzScvmPvu9XOI6G9Kx8u8Qaze/BlU8PcRjK64KtNLKrVtQWHTpBGP68c5LOWPtMLKAImYZhyGM0x5yu6z6ya/iN7vTy5fqbR/3/9Rtt856fWZZtqDUrbEjSdGWluWeUdeT5SCyWehex4l2DMcYYm5ycnJiYsG3bNM36+vql7hVSKBTvDhs3bnzllVf27Nmzbds2AAiC4E/+5E8AoLW1tVTzlQO2Ft7FhRCqqSlT+zcMwziObdu2bbvU1FxZWVlXV9fX1zcxMVEqfGdZ9sorrwDA6tWrz2r7FAqFQqFQKBYBJUArFOeFIx3H/+NgIeYoOqn42QRuXmkUCgXTNHO53FhEX+xjW6qCSWy5VS4D3Aew1qZXmjQI/CBDUjuTGjFC6OzSG2ZDZiAEQXDB0zYWHbnfJhKe00QYBgBQKBQwxretdB7vOaUsr7DhfY04CALfFwghwzDSNC2O5ZxtsZ9qIQ918gePs8uqYO8EAEzXN5tNeiKZfl+9po5kWeY4jvRNz7sJhmE8eoJFjBWl7dnUZwCxrMKYFGX03ytdihAA6MVcl7I4jjNBSSbKKMJtxB/EuR5UVZySIXI8I8c7/RY8tH39qmNd3a+FNixAfV4OQVPOKrZE07Q5TjwhxBvdKQB0DUSXNzsz1eo4jqclRDPGNBGvzRk/OYauakTXViXvX+mlTHQWeFtF7tKo+q0435QOFk6SpK+vr38y29jS2FBfdwFbpVAoLn527Njx9NNPf/azn/393//99vb2v//7v5cGgjvvvLP0xpLP5wuFQn19/QJHSbuu+8Mf/nDm9AceeOChhx66++67pzmjbdtub29/+eWX/+mf/ukrX/mKDLJkjP3jP/5jmqbLly9va2s7l81UKBQKhUKhOBeUAK1QLCZJmj6768AzA1KXPO0Fo62CAIDrevk464nSTp7L1cCR079+NCIOEYOoCgOst6gBgEEsrj3ZcRyM8SVjeZZI+VjXdcM0nx/g1xlIp2GYcgDQdT3LMkJIZ4mvGQG0VyIAcF2XCwiiOIoi0zTnkPilMM0ZA0ACpPo8DdHu0EPh9JAKHQvHmLrTziEES2RmCOMiYgt5OxVbasQJXj774tkJE4Not7NlZvn7vDwTDoV6XzpdQdaB1etZHyofFgmAuriLDnQch9lmOA0seIsjSnO9y+Y7F+Gc13vkhlb9P3fm//TjjTPlYzk4YJoGzTnnnN+z3hyPWIZsiwuWxnWIKvFZsUCmnWmO4yzLaRPjY88cGlphptuvvlyVJVEoFGX54he/+O///u8HDx784z/+4+LEq6666g//8A9Lteaurq6BgYHt27efYwWt2b6OMf785z9/6NChnTt3fvOb37ztttsAYOfOnU899VQul/vGN76hbmIKhUKhUCguIOpBRKFYBDJK93WceOxIIZ+hGa5YUW3ApiqxwoMDAelPNYBZs+0txPf4mkvEFV4GfHpU9DkiowkvnqDns0YWAASAIAg0TRPEGE84EO3ABLx/GbplGfb9AkLIdd1JinIG4pxrmnZZNdk3waTkeVcLerqfj6fFVzhjlZVdU8c8zyuKUKZpymBu+VHTNM55HMcAZerDYBBry6nPAHBjVUypJavSz7tpcRxrmvYfXQuKwN5amXXzqtn/Lm6sShGITKBc7pQLWGrc+Qw9P1lWuRZriX+CVI3Ol+mMBZ89NfrU0m5wwizLGEPSAM4Y45zPEUUiX49dE/3brya+9Ztts52updU7i6RpmqapDlDpOBiB0LSZkSMKxQIpnnvrbLAsq6Oj451hurbOvmx1s2GUudIVCsV7ltra2pdeeulLX/rS/fffL6fcdtttP/jBD6YVYfv5z38ex3FTU9M5CtBz0NDQ8I1vfOOrX/3qrl27du3aJSdalvW1r32trk4N5lAoFAqFQnEhUQK0QnFODI2MPrW35+3x6ZbnBpOvcMG19QFh31KdAUCWZRt1FnM8TosKtWjUeU7jkxSvsliOcM65TGmgwaIpZwghx3E455eA9CzxfV/XddM0T6TGniHMTxYdXuHAs/3slmXY87yxmD3WJQAEAri2zprIi8OTDADubSMRFVSAhk97/euO9es1XJqPIesZAkAYhggh27bjOP75cPnOg8u99B3fLPsnjPFCsrw1TUMIJchYoPq8zs660RzqMwCg5yemmnSlnqdGZZXGE4Fe8/W0XOAGAOjA6/XsxDyLBQBoFpOHeOV6MnEM5pp5hxcLgRBCMoc6DMNptuVSZCT6a8f8ZW7y2e01+H11YRjOodr7vu+6LmNspq/8kjnVFRcJ8hxb62KDwfHjx1LKlzXU16toDoVCcZLa2tof/ehH3/3ud0dHR6uqqqqqyvw43n777bfeemtDQ8M5rmvTpk2f+tSn1q9fX/avK1asuO+++/bs2XPgwAEhxLp166644grLmtX6oFAoFAqFQvHuoARoheJsyLLszUNdT3UGkxkuWp5rTb7G42Dak2CkQPIAeQEA8MakvtHNuhJryCfSNVqrsU0uBZbJLIJalPGIL3ooBsbYtm1KaRAEi73sCwNCyLIshBDG+LEeHtDTzOa9IbgaPHqCX1WDVrnavW3w8iDrCeH1kVMi5gsDtD+akl9bXOg6fcdomibTPAAgy7Ijk3xdBZaG60e6qEdwWdNvjvDZ1GcA2DdJblrhpGk6W+oxIQRjbFnWWyPscGEel7SGxPZ6vGXNci7Evx8skwNSlneySpgveroGJbFmjaL5rZ2Nwj/GHAA4zHKVJAugzFeaRaElpwGAjC8vbvtsti9CiOM43/hZ72XLjYd/Nfn/3OsmSTKvZzwIAoyx67qXzBmueJchhJR105fl5BgIsCyrr693ZGSYaNqyZcsqFlxSTKFQXNrkcrk5agxeffXVi7KWLVu2bNmyZY4ZCCGbN2/evHnzoqxOoVAoFAqFYlFQArRCcWac6Ol9ZP9odwAACABjEDfU00y38mClQEbKfWWS4dcmTQBYY9PlBtOQiKIoDhaqepwdruteStKzrJpIKX2qX6RcxLO4hCmHT6zCnHMmxFO9fDKDDzWhgKFfDfGPrUSWhgBgNIFuX9gabKzCWX/aF08lIHf5ottnNy4zsiwTQsRxvLHGe7CT39MKjLGYo5iXr7ZXq7MCm16NsMjWBj0MwzlELs65ZdsPHWdzO5+319Ata1faliU13GxRwyVWYX+QVMB0dVis0eOuzKQlqTJVPOrl1kmzP2KMz6xBuNUKbU2jlHLOp8nuSZKUlfxs2374zfGUwbXN+ov74Km9k7e0l4k6mclsRSMVinnRdd2yrM5J1lpBOOcLv1smSeJ5XpAJh/OB/v6+3l4gxoZ1q89raxUKhUKhUCgUCoVi6aIEaIViQXDOf/XWnp91IwEIAK31eHslPyiqBKC++b7bZmatNqOUxnEcz2dEPXc8zzsjMeUix7IsTdN68vEr4zAjX3s6rgbPDIjRGARwk8A9rRgh9HwXu7sV+yejH2yMN7qYUur76MYm78fHp8TQ10YEAH6wk1cb9gebEELIj5KPLYMHO+cyBa+2s2PRXDOEUVRf4SZJMluFQ9u2H+qcR0X9b2ut5hVNpVM0QipRmhfzJDUvhHV4slurghnm7musyCTQkZ2abgg2zPXSOX3Ql0MwBG5xyvvcCACEEEmSzFSH0zS1LGumAJ1l2YG+CAA6RhkAPPXOxG2baxZSKnOOTA+FoiyWZXHOdV0PgiDLsibTACAIoYW7oaU3/98Ol17RGdr7zq1N4tatm3RdJUQrFAqFQqFQKBQKxWkoAVqhmAvO+fGe/kf2jQzGKKehj6zgI+CMCZMDHJi/pBzcVJVgwYMgOGuJTNpdPc/Lsmxm1u00XNflnF8yepxpmqDprw2L3pDDfDXxJGMpAEwdmCZT7J/geyfgymooDXfmnEthVKpIFoH4dNFpPIWHugQGcXeb1Tk5lyCFQHTH89xFOZ7LAW1Z1svDYqb4W8Qj/AvXNU8rZAQACKGPrKv7j8P5hZQCnIM6nHRr1WX/tCu2r7GjkraJlDGYYXiOOC7tF2CMUkrlDi/mmZSiadpMpU/XdYIRgNjVPTX/ywfHt7SUkapLMU1z3otCoSiCEPI875/3JRygrYJuqnEaLJCXp23boFu2hWialN4u5gADlHawCEC/7Ee//K+DtYb41GU1a1Ytx3ieDjOFQnGJEYbhW2+9deDAgYmJuTKyvvSlL6n7g0KhUCgUivcaSoBWKMqTnyw8907Hvgnc4on2Ws0RLgA6vADRWYJAvL86BYAkPWPPM8bYMIyijY5znmWZrutySqFQmPkVx3GEEJeM61nXdaKbPzvBqTj7gIXOENVzuKcVh2GYJOWXwzn/xCoylohn+zk9/eBygKI5ejauyqW7C7OmP0ueHyH3tBpxHHPOZSR3UTPVNK0jJP3RrGdVrc7/+/Vts72mOrZ9dzt64shInp+l41IDHpNZlX0BaGfkFD8uZ/kuyJ32d0AAMC5MEzibEqEFIUTTNMuyhBBl5WPGmK7r0/6UpmmNQ/yEB+nUkdrZ4V/T5swhQGuahjGeLVlboZiJEKJQKHx+k/ejA+nxSXF8kmIEn1jt1lqYUtoXoOd6Mx2j32z3svlkaLmc7+8vM6xhNEXfe2sc3hrf0cDff+WaXM47bxukUCguFjo6Or75zW8+8MADdAEBWX/0R3+kBGiFQqFQKBTvNZQArVCcBmPsaOeJjoFxqhmTuldTrxcASirDie0V2auTuihnOyUgGCAHi20VaVGe0zTNNM2yqvFMTNOUKnOapr7vI4SksowQGox4o40ZY7lcrnRptm0jhMIwPNctvzgghJiW/ewAH51FMl44NzbiJhvKBkEUCYLAtu1CiqsNqDbR4cmpI11rwg1VyaODc4nLbTb70JYN7zx/bG4PshCQZtmRUN9UCQghWUeRECKE6I3R22Ozqs9VGv/ctta531Fty/rkFStHx8d39+UHqZHOzGMuhwW0Uaeb6l1Dt57oX1AHSauYOCKm1GcTietzyTuhPk6nVudBlge5r1AURY7jFAqFsvZnAEjTdOZGpWn6P26u75vI7n95BAC2tNo3tzuy4KSM5C7OaRiG3Hu6ri/kPV+hmIbv+5/bOKUdcwEPd2QA0OSgj7bqe0f4SIIfOpLcvVafJkCbppkkSfHizbIsDMMdTeZL/bP2kbw0hF96+vgKW9y+oWZNy4rZKnAqFIqlztDQ0Nq1ay90KxQKhUKhUCguapQArVBMMTY2tv/4iS7qFEAHrabsPBqCwRRPU59XGnS9yxhjhJB3fO1Kj0r1TQoW0+SzsshaWADAGAuCwDRNOJl9DAAJkKGM5FPRYDEAoJSapokxlrZoOY/jOJeABm1Z1vGQvDW4OGXlYsqzjM1hY5T65kSU7R7Xb1lGftk/td6ra9D6SvzW8Dy24pvaqgEAI+Dz+eIf7sEAsD8P729kdRbGGIdh2JWY70zM+k0b89++vpWQBQnKtdXVH6iuBgDOeRTHB3qGeyM0DqfUcwOYjWgdoesaq6orPPNkoIcQoqW3gwKmiISg+cg82SBRy0MHskRgX2gxkCNwysXZSFKE0AQ9JSKbggKaWt0JXNkOWS6X45yXFaBl/O7M4+L7fqWO/uz2Jj+Icp5DKY2iyLIs0zQppZRSXdcRQoyxwfEICHp+iF1Riy+v8+R3F7KjFAqJ7/uf2+D96OCp87M/FN/fn8qUeZ+iPWPisipLDlYoDklJQNN1/OCRZDKFGhNfVa9vqCErc+QnR9N09ptWb4T+6a1x/e2xm1cYH9yyXtkeFYpLj6997WsAUFFR8ZWvfOXmm29euXKlfKibjQX+uCsUCoVCoVBcSigBWqEAIcTOvYfeCi0BVXPPSQU6NiPzF2OgAg7H5kCK31eZjqZImBWezud2PUt3M0JonOKcLgCAc44x9jzvlbxuI3F1BX0lb8QcAYCN+ZZc9krezARwQBoSN1WlhBBpqZMF7gzDMAwDIbRAt/XFhuu6v+gTk9mCU05mcMdK5Gj4wU4GAB9vRiaGIJgrn4FSmmfa8yMGADzROyUg3dOKsywDMDqDeeyKk3HWAGBjUWALNTa+MixcTXxoBX5hzMzP7jzGIH7/hoWqz6d9EWPXca5Z33LNyYRrOBkjPhMhxCP7eidFaaoGAxAy2XYALIDy78/d1AwDdno3zKn/j1DSDhkAzAyEkQUDHceZLStGli60LaNvOP/UXv9T11RIZdlxnFePFNYvMwfz2RWtVUGGZVuvqDcYY3EcY4zn8LkrFJ7nyUwYmWgkhIhD/wubvNcHsj3lRiG8McQoJ5dVaJRSzrmmabsG6epKfP+BZEcTeaaXjSXi2R76bA81MLAF3LQyjp4+kb3ct/fLH1zrOM78X1AoFEuHF1980TCMRx555JZbbrnQbVEoFArFpQNCsPARdGqoneLiRwnQivc0jLF9hztemTQB7LNeSHesFSvRBQxqdB4EgZ+cpkmUCmSWZRFND6P4ubz9/qq4WuNcoMFYHIhPtSEGeH4csZO/IxHHL+dPGVqpQM+Mm7dWJ4VCIZfL6boupWcAiKLorDfkQoEQcl33oc55ncRzID5SG/2812aCX1PFVlcZQRAE8xnPbdv+2fFTGQ4aEne2alKfMgwjFfP8iNsGAYDr68RTgwttZcJRks4TLU2Q+KMd8yRvLIR5x/s/s69rUsw87dHpOq5AAAKQjJS5uTJBAM/lzRF6ShzHIIbQqeU4YlZlHSFUPFFnm8GyrEKh8P1fBbdttL72k6H/49aa/X3JzuOjX79rpUZIpRNGUdiUA03TVldrQohLwPivWCxkgI+fCQDgAipMRBCiXBAEXABC6F+PsNZKgsC8oYloGBcKhS111rWNGsaYC/HPpwc67x5h66stRH0A8H1/g4cd0+EAYwk0Obg/nLpQ5vA+zyRi6BtPHv2TG1e6rmOapgrlUCguDTo6OhobG7dt23ahG6JQKBSKSwrOBKULftY8l5dpheJdQQnQivci0gpXKPg/PzIyKeYpIrcQNCRWW3SlxQEgZEi67YriAmNMymQIIV3XiaY/N2FuIBEAPDsx6yDNk1XdyoNBCCE8zwMAKVZGUWQYxlJMxfU8rzdg2+vEKyNnKcessekvRp1mM9veZMZxNm8gQy6XAwAhhIYQFZDT4KPNhFIqzeMy1WReKj0HAFbWV8Pg5Nk1eyYmFr+3beW7MEj/WFd3bxn1eSZITIWbg4UECPG2P92XXYFSv6T/JkDGsThrM7NpnS4JNt4I9K2OKHuKYowRQrZtB0H4109PAsAje+N1Teb3np/4kztWfHKbwTkPw7C4QEopQkhVIFSUIktWPnR0jlhzdGSCI4DhSNy0XPNsbywVu3rpcCSycs/2Dx5JP97mVuA0yzLOue/7v7nO7g7Q1gYNIbhv39mcfkygv3qh9//aVl9XUwUAhmGoUA6FYqmjaZqsvnuhG6JQKBSKSwougC1YVkZKf1Zc9CgBWvHegnMuh1Qf6e59eZwAzJPzu9DFCuhPMAAcjrQNDp2g4BLhIZqmqZTbZHVBDoggSLkAgINsnriPuanROOe8NKXBtu2lmITrum6WZfW6eHb4bCIRMQgOqCPSAeBEom8HWIgEL4Vmz/PubJ2qJ0apkOZxQoht23y+X/pGg3muCwB1tbW1+vhotgh5jqtd9utXt7070ZCvTc5z5tdD5Jp6q8VenjTeVzElwFFhjvPpX5zZ3D6qNxtU0zSZAW3b9glm9Sb6qy8e6643b7/Cnbk6qT7/9c/75dCBba3Ga52ptLAvqzJkOo3tOKgk7jnLMtd1Z0vzULw3ydKk1sKj8VzXrwAYT8QjxxdUfvNnx7Or67UNLpOdH1EUrXLtvaPUM87JvPz/vjb8u1enK5c1yGtE07RipJJCoVhytLe3Dw8Pp2kqa3goFAqFQqFQKGaifDeK9wqcc5mVzDl//XD3y+PaIgYlcUAFTg5HOgGoIKKBpHoaZFlmmqbm5HK5nG4YCKETMTkYaC/lz9UjY2N+mZOUKpXSZD1vtcOLkCAIsizrjrWJMvXq5ocDusJLEAgAaDKptEDOSy6Xk1XyfN/3fT9JkmJ0ia7rlNJ0vh25wju18//79jWX5xa03tkRd7Tod16z9t1Rn4UQ2ewnvwMZAAyD3WqxsYRvdtM4jpMkIbr5qm9gmL5rRoVZL6arwK+Fdg+4ruuatrM/tfsyTcuPVjdXN3iirMFcHrggEQCwfY17x9X1APDhK9yPXO5+5/GeKGF//4uef36mL8m453m5XE4azWQ47zntC8WlRZZlH2vBl9Us5rPNukrsuqd6TaIoWm0nrTn8idX67a36usqzXNc/vZXv6Doh/08plT9PS/EerlAobr755rGxsYMHD17ohigUCoVCoVBcvCgBWnHpwzmP47j4bj80MrI/MhZ3FQhgo5PdWJnsqIgsyAghk8TTTQshbJOpGV6eMI7FWl+6CArj9sqsqFQyxmTptgVqrxch2LB3jZ6l7HJvG+kI9WsrEgDoT7QFCriFQqFQKJSV7OM41jRNE/PszDfH4O9fOuYHAQBghG7bsvYPrlt2cz13yRmXwttamX5x24qNrSvP9ItnzcjYOACaKSVLQtAB4OaKmAqoNpCNpkKxOU2v0fPXGvkdFdOTB8qqZv2Z/krovh1bTjTZ1TPujH5brwAAIABJREFUM+3zm4zQzr1wKF8q5xVhjG1abmkYPrzJ6xxJAOCnbwZPHYju2FJnaPB/fniFY5C/e2ogDMNCoZCmaS6X0zRNxRcophFF0fXLFrNb4uV+KoQoPdNk35VFgwqIrq3JPr3+LH9QfrQ/fuPA8dLFJkmigmUUiiXHn/3Zn5mm+Qd/8Aejo6OqG0mhUCgUCoWiLMo7priUYYxl2alx1hP5/C+6gkiQst7nKkyvrmDPTpzZ8EkL8esrM84opVRD5gjV9gZ6m8VabSZjoH+V1yOOFsttvTWXVmrTyxvGcbxE1WfP8xBCQoi7VoEQYjjFLwyewZsbBvHj4+zm6uTNSQMAfn0VXpQQkizLDuZFuWyJ0wgZ+t6uwT+6sU0OnHds+7pNa64DOHjk2KN9CzrcH6inmzesefcl1Lqaaugb4vOdk69N6u+rzGTyQFEU03V9fzg9hWNAOA6w9PQ9VgNR71B4IMRNDvl0uy67SRKGR7H9y/2T71ttzDxp/9u22v/5cK+maQ/tHAaAYZ8BwJpGUx7WT+9o9GOORAIAnHOZo+K6rgwxUCjOE72B+P7+9LfWmyxLp520U6HkzP/CJq+7wJ86ccYR/D/rpKPRkY9sWVecIoSI4xhUPLRCsXSoqqp66qmnPv7xj1977bWf/exn77333ubm5jlydVQNUoVCoVAoFO9BlACtuAQRQlB6WhpDfrLwZGc+EPpsquKt1cmz48azEwu5IoSDxZUetTEHAKmfTjCyJ3IhEtfl0luqkpDBCxMmFQt8uxAEhAYiATyfTi0qCC+dRwgRRdESVZ+hJM9X4gHc0+o92LkgE/FHlqMqk3SPBS+NmwzwzQ1A4/Ac26Npmm3bnHMi4nkFaACgAlHG9NNTIDasW92+Vhw+1rl7lA8mKCnZGg2BQ8SOOrGubZVhLLINf+EghH69xT7aOwgAWLCDrAIAOCBaMibm+UnzpooUAOQrtLR0YYy5bo0lZUSxJuF3oUoAQCCa+OTr/exAhuQgmztWGwAgNbU1lWTnIHcr9BN51FxJSk9djHFKOQD8z4d7AeCaVcbLhymU2Kvl2TLtXI+iyPO8pZh+rjh/+L7/mXbvXw4tZs/EA4fZvessDSVlU+Z9369B8PkNDiHk551Zb3AGIyFeHoTg1UOf3LZ+miAle1Z0XX93knkUCsVZ89WvfvWv//qv5f+//vWvf/3rX597/izLVH6UQqFQKBSK9xrq6UdxSTFTek7T7PnDfb3Mmrve4DPjcxufRa3OI4Y25zJdMEqpScyUw6CfMSGO8Qo5k4PF6wVzbgevDkxHggAYiK/J4RrHbKirwRgHYfjQkcLcW3dTRYzQadqf7/u5XE5aQS8N0jRdyH3p3rYpRSZkaINL6z2zEqdZdsbxF9OQ0lIYhj3xQtVhNkOABgCEUPuatvY159ic88Wx3v79mQ1Og/zoAQCARWMAyGXBQKbnwQBAL00a23OJjpHjOEEQSHV+b1D+6HTw3DIUkCx+oR/vBzitmwTAP3mKbqyxXu6nwynZttJM4qncbdu2McZByh97O1/8Vo2DAUAngDH2PI9SihDCGCOEOOcIIWn8lwE7hmHI4qKLu6MUSxeehDcsM18ZKN85h0CIMx+V8uMj2UpP+8gqa7YOjzAMdV2/rdUCgO/vSxY+mmP3OA5ePnRtc8XympxtWbp+6tcqy7Isy5QMrVAoFAqFQqFQKJY0SoBWXCLMlJ6FEMd7B14cRQLOsuifhkSrxZpNRmlWVARSCgdTZyyUQRjW9bnEYpkMJQj5HMOlxQqSbFleUVtTPfNvlNLHj47NLZG3YB8BltKbNMpRSj3Pk8bSS4Ysy+5u0Y8UYPfYrOrNJ1cwzlEQp48Pau0V5lU1OAiCjC1O6iJjzHXdXCEdX9hgekoZLKmi9we6ezuEN1N8izVL/ktsqBGiLplwdKwhAACZAyCTAdbruFazDsVlztVBYVWk0eocP1o4vZskndKFZeLKb2/UCSFpmjqOUygUcrncd54c9BOanNzhN64xJwO6rNb8yOX8iT3BM/smrl1VRnozDMM0Tdk2KfwZhiHvA5fYRaE4CzjnbZVkNgF6IepzlS4msumz9fj8+/vTX2txGwxaNqw5yzKE0DjVz/R+dKRArN78qxMEINSA1+Ks1sItVVaF59q2LWVoQkipNq1QKC4Sbr/99oaGhoXPr9J1FAqFQrHoaATnzIXqe46hnA2KC4ASoBVLnv6BQQGQc50sy8Ym8uMJ7w54yHEoiDirMps2FhucrErjxQHRuq6/PYlDQaIZEvOrhXnURwfollrcuqx+tuGWnPOf7B8KxVyyQgXhayp0xljxpUUIoWlakiSlIdeXAEKIIAjWek6dhREA5TAc870Tp2awMd89yo/H4rIq455WFIah7y+m71UGPrRXiO6FaZi9Q6Ptbc4iNuC8MjQy2iG8uefRBatHaYWFxxPopNpygxoIAQBjTHbw1Nv4MGgzJby1qPAWd9ussM6kCOF8Bh4Rb46Tn3dmd6/zfN9HCIVhaNt2FEUy6sTzPCHgs9urdo4wyqEJJc/uKzz5TgEALB0N2FXXXpPbWA+ua8ysGJmmKefcMIwwDAGgtHqbaZpLtJKbZVmapsn9nKbTE4cVZ4R18rm62cMnzvwuoWP44rU1/7l3tD+afqo/0ZVVGuiutV7ZBKQ0TT2UfWGTeyTPXug97a+3tWgGRr/syfxyt+09ee06bXzErKaAB7k5GML+kAFMIsh7iNmYexpUGKjSIKubV5jmBcvwUSgU07jppptuuummC90KhUKhULynSTI25i/0DcjUVCkCxQVACdCKJcxEPv/YoZGCkKex1AsxnJXo3KizdQ7VERRDOE/4rCNzbq5KAUTC0SjTzqiQIAKxSS9csWaVZc6jUO86eCwUuTlmqEdxu4cAoHQINmMsiqKFt2dpkSSJwRgA6ADrPavLRwU6tfNvbADPNLdwFseR7y9+rXmZzFhhap9Yzl4eJSPz/YgH4ZI5CkKInT6e7ywWG1BBGu2dLGjwcj0paSJpURiNoiiO40bdGsimd5vnM6ACHcncNWb8xujUahAWGgGEkOM4AOA4jhDCsiwAeK4nq8FppcY7MnttlfHS20PP9iQAsL7Jev9lVQ+8OHTlVfxjayyTINndouu6DNwortGyLKk+T8MwjCUnQGuaZpqmEELGOyCELMsq1qNTnAWc87YcrjfZlY06AEwm/MGjZ9BdN5ygf3hj9IvbGqKU/vNbY9npmf75VHx/f9qS0z7YbAdBMK13RB7HJgK/vdEdTeCRY1Pr/XkXrTbR3WsNhOD1AbqxhjzZTfPpqe++Pko+tHy8A04bKCMAFYRWYDDEABIAgOdH+zZayY1XrFM+SoVCoVAoFAqFQrEkUAK0YkmSJMnDu7smwDy3c1gAoOUGbXeoABQy0Ik4mGd93AUAABMAnp04s3gFDGKrVWhf06ZpGsCyeefPsmxfNpv6LBDAOpRPgbxZcNbhSdM0PYPEcXyJuZ5nUjQV2rZ9sIB9yuXBuqcV+34YLywc4+yglMpMbV3Xb23SHz9BfTaXxGPbZxnw8u4zOj4h0OzbIgQCcBCTUcvyEAjBCeB3Ystn+MaKRPZ5CCHWmckqk7zun3Z1dERTH/szo8mM+hN5baLJDJIkIYQkSaIbxlDIakzcOxHc0uwiMDoLwp6M/7/HBgHgN95Xf3Wr6/s+AP36XavePFYwic0555xjjCml0yo3ZllWNvfZ933Hccpq0xcbuq6bpsk5D8OwtLqdrC8qVenZxHTLspQ8PQdhGF5XDa7rSnX42CTfUc9eGiatnujyEQAUdV+LAMEQzLitUoG+8+rw3avxVz+y7sCRYz/uYNOM/10F8f396bWN1pW1pGwwNEKoxoLtjeRXg1P3tPFE/OBACgArPPTQ0ez6ZWRTDfnxkbS49qf6yIdXThzlVXNuHDoQWwd2nths5LdtvmJa9UKFQqFQKBQKhUKhuNhQArRiiRFG0TP7unqYDWeevKsBJwitMBkHWG0zIcRAIT6QVvWl53ghCBexq3J0zaqVhJCF6M5TXxPiwf0jRcs2AmEBy0HqiWQ8wx2h/tFm7Gg2AFhhJpDpGYRz/p4alb9zDHcHAgBpSDiYnZ29/YzAGLuuCwBCiL0jqc/micda37LifDdpsegdGQOzbra/XoknpdDpZ5njOFmW5XK5jMPhWL+lMnll0tgX6Zd5nlTZwjDEGLeZ5HhS5toJOQbd/UCV/8tBHQBqdP5UH/5oC46iKE3TZblc9yRtqXEC3zdNs63CGBhIv3lvi04gSZKiiuf7/voGNK3AZpqmrutGUYQxlgbhsuKsnH5x1ue0bZtSKs3OWZalaTpHf5LU3OUJiTHOsqy4yblcTghhGEaapu9e65cgQRDI/1xWZem6014PfQH7YAuhlBJCdg+zt0cYRvDJ1YZJ0I8PJ/6M/q2HjvFHO4/8/rbG/3tdxRsHjj3ezdjpbuidg2znIPu1Fme5g4qrk4RhGGK7qD6X0usLAHh1gL06I6j6yR68Y7nfB/Ok5QDA7rRy9+tdW91ky8a1qkqhQnFRIftH1TAFhUKhUCgUCokSoBVLhiiKntvf1UVtAPuMvmgi0WCwVKAVJqvSBBPwVkHvjOXJfy72VVGL06tq9BXLGs7uzX/X4c4cwo5Ik4wNptroqUwDEwDuacXS1/Z4D9tejyp1xBiTRaiWXLzA2eF5XvfIlL+VCfjQSv28elpliTzpgJYy9OV1xrqK7JG+WQ/uFblsCYk+MZ4rNFYIUUx5liJamqYdpGoNnngunwOAkYwI65TW6bquI1ipAN2gZ/3Z1CocAp2Z++Fm3uQghFDKBKWZVIQLhUI1AinTJUlCKd2+vioIgrScl3kmQRC4rhvHcVnDaRHGWBiGrutyzi+qsBpCCGNs7saXMu2cd10XY6xpmtTWNU3zPC9N00tehsYYY4wRQoyxsrb3eYnjOEkS0zSbHCJDXQqFwlobLl9nIaI/15MOhuIzG8yJhD9yLMtOX0PM0d/8amhT5cDHr1519Xr9F293vjbEp4UyPdFFEcBHWtxl1qlTjnNui/ALm9zne+nR/Bk0+6U+fv2KcEgsJF8e7QqsN9/o3l6DrljbotzQCsWFQgixe/fuxx577KWXXnr77bcHBgYAoL6+/qqrrtqxY8cdd9yxdevWC91GhUKhUCgUiguGEqAVS4Asy57de/xYap6p9LzWzlZZXAAggGMRORho4YwqgmeOWEHiKxq9+prqsxYfhRC/ePvYnjwG4ADazCvxUy0YIbR/gu8ZFwaGahPDySpw7x31eSyFtRVwdBI+thKOFyCNo7MTnhaCZVlZlhX3LedcCny5XA5gVsv5jRtWnqf2vPtwzmWkQ9Fin6YpcnEEZEcu0jBmjKGSBI9CoWBZVulAhNV2KgXoWxp4pY6yLOWcI2QVCgVd10t3bymMMUrpGR1ZqZXPO5sMEpmt+OeFwvd9z/N0XZ9ZVnEh/P/svWmUXFd97v3fe595qOq5W93qVrek1mTJ8ggeMJ7AmMlAAuHivMBleley8gZweFeAfCG5i7xZsHKTLIYkcCGEGwgBA7mBOLaDJzzFNpZkWXOrNQ89j3XmYe/3w26VStVV1dXquXv/vqhVdYZ9ztnnVNWzn/38+Vp5S12SJI7jEEIsy1p9JUnz8KPj8z8kSTJNM01TbiEvzC2ZkZKZ2kEQAAS3NRAeU67S8MHNUn9AHj9bfDIPT+Ajz5x/32b1nTduvtsPHnntzIHxKz5QGMBjZ2IZwwNdpkVSvi+eB317s3bXevXh4+FE1SMFL1+I37A+GKJXjJISYGmpHHcG+MVReOWV03c2ke6ujmr3IRAI5ok0Tb/whS/85V/+ZdHrQ0NDTzzxxBNPPPGnf/qnv/d7v/e1r31NlisVnRYIBAKBQCBYrSyvX+YCQRGU0hcPnTjoyVUGbnSoqR/Fu2oQd7oddKRnxiQ6m+KB5ahBUbuWbm1rNHR9jhMqGWP//MqJi0FZ8bpBBRmj0zl6YIwBwK31FIAAAE/CncuuVwqqqp522AYTRmUEwA4Mx29oUR1nAbNHSmbpGobxk1Nld7peS02jGn/icmFIqlTrsg9bbXCF2RZjzAAGqLYFxzykuGgVWZZvNxxJkg558nBCBmDqbGRlcF2Hq6uqqgJAZWFUkiSEUPVqrOd5uq7P6GvmQm31XuNFI39mriLBma9bpNdzS7Usy6ZpFkVArA7SNM13oTiO839jjC3LmpeKrGmauq6raZqq6WkS14D7iR3Wv/TEbnJldUGAn/eGz58/9n/f3vWBW7e+zXEf3nv+jHvFYzmm8LMTsS7Bf+u20iQOwxAhJMvyCxeT6tVnAGCA9lwIr2klOXZZrrqzNgKAEx7REvdYmilyYSeAnxxkzw2efHMT2dy14SrOg0AguAoopX/wB3/wne98h//3zjvvvPXWW+vr6xFCIyMjr7766q9+9SsA+Pa3v+04zve///018l1OIBAIBAKBoBAhQAuWKYyxV14//FpgMiiRG3BrJpQQPDehXm9FozE+E0rXkZGLuGYwRgHTnhoDABXmkNaAge6UnaxlNNVlueI8X/OaGWPfefHkeFLJOn33OnzepS8PMwDAiLVYU+qDLMvLUE1bCGRZ3nORvjLMAJCB6RabLX6KgmEYGGMGZZ25926qXcz2zJHzF/sAlZXLNUjXI9/z/LyzGCGkG0ZCUQr42Qn1jkwJqTSfsNyuZ4YT0gx+L5gqZlEUcZ20yt/YuVzOupQuXQ1VLsyjlgHAMAyEEEJomdw+PBtk3usHcmXWsizXda/CW72cCYJAVdXpD0BKKX9lXgzgfJQFIWSaJu9jH9ikn3HQ0xeKTdaDAf7yk6c/tJls79708Tu2DI2O/e0rw0UjnX4C3zsSaQR+d6vl+34ul7u+htzQpP/w2CxE6IShY/1eZ7MVwdRHxlNjU2OxtZJ9T22U/+/1ZGRfWs//joA8MQjPDJ66r03pWL9iQuoFgpXLL37xi29961sIoQceeOBb3/pWS0txLZCxsbHf//3ff/jhh3/wgx/cf//9Dz74oEjLEQgEAoFAsNYQArRg2UEp3Xf42G9cHYG524oHI9wgU5MwDTM/oZpEuCONB2vsc6bk6dfS+vJJCVWBgTWQaHsGdbavX7gfBk/tPz6ezDz78oXBKf3o7roQQEqShNvoVpmuVI44jjVC3AQ+2EUoRZSiRRagCSFoplGHR4+Pf6S+bqX8hpyYzIFeWoBGjG7BThRFaZpijBVFYZLignSA6iQ3dmcGx3HsOGWDX2zb3uNIEtAXJw0Adv865jhTEhshpMqEhFkFKXiex8skyrLMb4ogCKaHeHD1mUu9XFiflcy9cCyE+pzHcRxd1wFgEW4ZHpvuuu7CZeNweOnFKIrKXUHHcSRJsm3bcZw5PiR5YgZCyLZt3/dbZPqJHcY/HY2i4kNEP+ql9WePffK2jqb6uodul//nC/3Ttxak8N3DUXdWfnOb7jgO+M4ndljfPTwLDTpI0cCw09Bgp1eWYB1LcF59BoC8+gwAb86GURIrGD3dB7d6PTU1tU1NjdXvUSAQzJaf/OQnAPClL33pi1/8oqKUsE3U1tb+4Ac/uOWWWx566KEf//jHDz744KK3USAQCAQLAwPKWEqr+v65Mn43CgQLhhCgBcsIxtjpC/1PXgi2kxCDdns2DhnabKQTCT7sSRPJfM5YlCGVEEjAaiTaaaHG2mzGrhRQMC/0nDq7d2Jm9fnh01NSR7MGDRmTMYYQWmiJZ1lBKUVAbqzHXFusJvB37iCECCEIIU3TUsowQj8un78BAIMRzjluxrYWoW1zJyZln/YMYZ8hXVFkWQ6AHAWLAQKApnCkB3QnjRFRbFvhsm+RwGfb9hFPyqWYjY3tMGl3owWAFEWJ41iSpMLkhMqkacpzoqtZmFLKS/nlU0H4VZNlOZ9QEcexoih5j/bUSYhjSZJmJXZXg2VZcCkhJ45jxljlkoCO4xiGoWma7/sL0bd93+fZFIugtudyOUKIfmmaSBiGV10kcEYYYxXEZV4+VNd1hNDcq5Vyyfu4K19TR3zff7BbGYnQL08V95yRCH/lmfO3NrL7rt90UwN9dbj0h9TxCXp8InrHBqNJY47jvLPTfOT0zF29RWNuAm4CYxEyxye1mmyVcVLPTqiXQqsYAIyPj/X0jVy3qd2yzGpWFwgEs+X1119vbGz81Kc+VVJ95kiS9OEPf/hrX/vakSNH+KfYYrZQIBAIBAtHylhanQECATDA/BuaQLAGEQK0YLkwMjr6RO+IBFQBciCtBYDnJqrKfa4GBEwCWkuSVoO0ZbS62prF/+pPKX3kXDKrgc83NWPf96ssubZqME2TMfbOduI4TpKoi3DsGGPDMHon6blJdlsz8X1f1/VfnJ15v14YZRZ82GJ+UFkl1fU4ZIq+CEk0ORqZALDHVTuV2NKpYRjTsx08z9tuGLYb1LXrGmKUUt5ddV0nhFSvAzLGeB3IKpcvqmfIByq4rZinbZQMTA/D0DRNXde5nbbKfVXGNM2i+opc/OWOct57JUnKV0TkS/IzI0mSqqoLUVaUZ1OYphlFkaZp3NWbb958CcRxHPORgLzbmocdy7K8QFHUM8Z/87dM0+SzRuayryiKtme15y4mKlHe2EJM6n58u/HSQHp4tPjs/dcQevk/T354pz3o5c56ZQdK/+NMomB4z0ZrnVrVp8DWLNx7wxbekomcm0TBcJAenEQhVP/hhbhLep2S/vDQUJdy/p5dm5ZbWU6BYBXQ29vb2to6PXmjiLq6upqamgMHDqyR2WwCgUAgEAgEhYjfIYKlJ4qiR18/1ZdqUCru+appJcHmWm1dfVZT1eWQk3DmQl/CqmrGDivZ1agyxpIk0XWd2zan2zlXK1y6siyLq4oLvTvDMNI0/clpCgAf2EBc1+G79qvQvSWyYuoIdW/ceOJCdZogYw3hWE+k88ESHdM2KczlAk3TFEXJ+8QBgDGWS3G/F7WoKAw8bJp5f7TneXbVUwr4kANjzLIsHmQ8o0LK0xhKish5n2xJ/ZH3Lq7MVtm8CmiaFkVRkW7OxV9FUQzD4E2VJMnzPF510DRNbtDWNC1N0wV9NLmuK8syXEqdBgBuUtY0jUdnVLMR0zQxxkmS8OtSeGl4rVdFUfKKMHd/V8jKmCNVqjau6/JhAM/z5qK2B0FwW5N6ysX/cDj6YLcZBP51Wbi5Wf9Zb+RcOVZCAb5/0G1UkYJZRMte04yCKGOUobvayDMXZnjE/HoA3Zkk/OHfWK8AwDqAnYyNT07uOzd2NtWrP5C+iADAyUg7tef8bbV015aN1a8rEAhmBGNceYoGhy8jKhAKBAKBQCBYmwgBWrDE/NeBY/s9FUCbl63VoGiDGnevbzF0bbl9xf+viz5U51zb0aBwx6J8iSAI1oj6nGfu6pWqqnmplMPDTOI45oEPXEt95FzipgQBvL8Te65rWdZPz9DqUrygZoXkbwA34bKUohl6oEzjxHF7YCotuktNNmgpY5Jpmq+6akCRhCBmgAAoIAui9djPZZtr/UFKaS6X4+X+uLI5Y2lBRVEURWGMFSqhGGOeolD0ehHc5jy7U1CA67q2bee1gCAIZlu/jsvfhJByYyRRFCVJQinlmi8A8CX5QWmatjhp1FzQz+83/yI/hCAIKgeSFC7Dn6hF15Rn00+/0I7jaJrGY1i4C5uvzuVgz/OqkZK5V71IQfZ9v5qW82EAng0yFzt2GIZtMvrv281/PBJd3yjvrkO+6/xWpxqC/OPjxWMYQ+EMfXI4YD87Eb+lXdpcIz13MU1nOgc9vSd3bNtS+ApCqDabvSebTdL0fP/QodFwiM7i05MBemGMvPLyqbeskzZ0tFe/okAgqEB3d3dfX9/AwEBra2uFxcbGxiYmJjo7O5eDK0IgEAgEAoFgkRECtGBpYIz1njz95DCem/TMAKAJBxu1tHtj53IO1GOM9QXVCuIEIa6txHHMC6lpmkYpXVNBHHNBluWUqP96nutW7INdJKXw+MU0FwMAW29IFz3pkqZFATAC+EAndhyHm3bf24F/fiavebFyqSnbrXhlTWa/0WS/qRyJwRhxcwNwuVZhnUT7Qnws4MHlzA9pHY7rm2oBABACptuUNKfjziU3Mff5WpbFY0wqtyeKIkVRisRBSilXJxVF4dnKJYVa0zTnOCRTuLqmafxGS5KketM9F5cNwyiXNMKV05JK6yJY+2fEcRxuEy4n5tq2XXiW+OE4jsOvCx8kqBBPX3iMRYozH3uAiuNMXNSWJImPavBoF261TpJEVdVqsrz58pZlTU+PqR7GmO86n9hhfe9wdHAEPrKNq+3hJ3ZYB0bSVwZm/Vh+4lzyto6qpsM8dgF2bCv9lkRIZ1tLZxsAwODQ8IGB3LlUrzLiKQb8aB+1+nt/+9r1ujY/o78CwVpm9+7dBw4c+Iu/+Iuvf/3rFRb7q7/6qzNnzjzwwAPLzSEhEAgEAoFAsAisJPVEsGpwPe9fD1xwZh+4gYEpiGZx2qWnWctsbqxfKV/iKaVV1o/icDFd1/WEMplcdg4uK+YxTHYeUVX1sCMdm6AYgDfuVxfTuxrpnbWRYRgPn6bnr1QLFQzv20ByuZymaUmSSJJEgH2wiwDAz08ncXmZ6E2bZ0h7XG40N9Z3nDx7lmTLLdDkDh5lV7y7x1UAWC0KW3C41zNuzKbjfro5GZ0k+hioXXTSdV3nyj4QhmEYhjysY8YmcQ23SBnk/80nOXCrsuu6CCFFUaIoQgjNr4Cb3xo38xaGGpeDJ+Qsjot54eA2YU3TeCgHY4xnVvCKjuXu7ulHPeNzuOgS84sLADwYhCv4+WUwxtolVbTwJMuybBgG39eszrzjOKqq8jQSSimvlFj96vmNfHSb8cxF+t3D0QNdpo1Cx3E26fjaa8yf90aj4ezU7cfPpp/YoTzcG01WTIIZj9Dh3tM7NnccxxBdAAAgAElEQVRW3lpTY8O9jQ0AMD4+cXRg/GSgRDDzJ6PD5O/vH9guTb7puh3LefhWIFj+vP/97/+nf/qnb3zjGyMjIw899NDOnTsLh2CDIDh69Og3v/nN73znOwDwO7/zO8IBLRAIBAKBYA0iBGjBopIkyfOHThwNqo17xsBqcLzZxrW6XF9bU6G8+PKHIJZWlwHNK7nZts3LiAEAY2y5CQQYY1VVl08wiCRJuq6fdRiN2HV1+NoaysvQPX6RjYbw+gTeXWcwxu5uQU/1X5aKDAne3U64CZerkLZtp2kaBIGqqhmZjUSlL5mOaU02sziHNo9cu7GDnT5/DpVIZ64Px4/Sy+ozAdaCfUvBnmonxBwH2KnlfCfozqoIISk30oyxV35cJK8wWpaFEErTtKRN2PM8Ln1ywZcnNuSFSFVVuXGV53KEYRgEAb/QaZpWY4CdLVzp5g7fyqRpyuvvzXsbFp9CNZ9Xj0QIzerWvuqBKH7r8Qc7xpjv2vf9kr2Fzwi5OtGfj4vwv7lvHQB4idfqN+J53pualM6M9ItT8ZtblQ4dMcaGffqWDimj4J/2RuOzkaH/4XD4/i708KkZFnv0dLRjc7XbrKnJ3lKTvQUgSZKRsfFxPzo5eXkULUeleJowfSTJHH313D0tUveG9dU3XiAQFPKud73rz/7sz770pS/96Ec/+vnPf67r+oYNG2644QaM8WuvvXbixIl8mdw/+qM/+uAHP7jU7RUIBAKBQCBYAoQALVg8jp8+98xAkpbK3JCANpBYAspTNTKq1GKrdbZpmeaiN3NBIITc1yY/er4qyew/L7L7WlEulzNNc8Yw3NkyX7XXuR2VG11LVntbNDDGmm6MhKAx1qLEURTlclPHqGlat032jLLeHPTmijWy93RgjRQLbfy/tm2HUWwpZCQqfbrWzaIA2PJid+f69aNjeyaSCF8xnNMXTo1wNCE/o0mulqHInATAjK5PcwYkKSRujZUmgSRJPA+hmt1xuTCfojB9Aa4p8/KDkiRxkZExRimNooivwnM5uEDJFepyqRdzp8obpPozsLLwfd8wjDAMF6iKYEmqLwjJRyzm6H/P9x/+BJtVOkcURevk9C3t6hPnkt0N0vX1kGXpUxdhwIvf3imbEvrnnmqPhQE6OEHWmbTPrbT3iRi5rmeaRoVlpiNJUnNjQzPA1itfD4JgPOccHXIGY9m79A2QAXqyP90zcPzt25qzmZU3riYQLDkY489//vOmaX7lK18ZGhoKw3B8fHz//v2Fy9TV1X3uc5/77Gc/u4Km7sVxPD4+vtQNqUR++HP5+CHmgu/7S/uNeu7kr4jrugv3VW1x4F84l/ktUD3L/3aukmV4s8d0dlYMxijPTJucnJxx4TCaxTNhVj/z0zSde5fgMwtnW0pnuZG/fL7vL4eYxHLwD4hlOAF9VggBWrAYuK77fw715ZgMl+xXJiStUtCcNVtqbU1VV1aW7tXx2lA4YxHCFiVdb7CNNUqUUJ48APNRjm8h4GUSeeV3btZWVTUMQ95mXn9sQVuet9amgDECk3qOQwGAlxZM09QwjLEY7xkt/Yw2CdMIKpm0wOfGqop83i2rMN7YsoKDU+vrau+rA8d1j1wYGpIzFJMWd+AkmFuI41u1CTEKhjtYZzicv5QSDv2r+szj/aTcu5qm8SEW/rHKi/sRQgo9zoqiqKrqeR4fleFZHEXb0XWde6h5RsdVC8RJkszobuYSLQ+suLq9LE/yB5WPrVhWzx9+tiVJmhf/O/fp8wKJhb+TMcaGYZRLYknTtEWJFYz2D6fHxuC/bVHu64DHziT/dnLWX76PjKYmoTBTXMarJwfu3NU1242XRNO0Fk1raWwAgCRJPD84dmHoQiSNM2WcKT86MrbdGLhzV/e87EsgWFOoqvq5z33uk5/85De/+c1vf/vbvu/zx5QkSZqmfexjH/v0pz9dV1e31M2cNStFLp9jaeJlAkJopZzwcuS/7K2CY+FfOVb6UeRZBVeE965leLNjqG6O82WmFq/miizcwSKYny6xCrpW/tfcMj+W5dy26ln9qp9gyTl06PBkGG+UACHc3tyQzWQIwcvtk2MRyKq4r8wQpkXo9dn4OM2mgDfWBFzxkYlZJIssQ/jzOpfLybIchiGP0I3jmA8eLqiJkhdDwxh7jpM/r6ZpYozPuazdRgDw5NkrNEQCLAUEAJts2J1lhUPoXCHl32zy0Y1pWcmUta9bYQHQ07FM8+YtJmMsDMMXBxtqsZRD082PaFDJtlKXjy5ctdhaQS5UFCUIgiJ5mlJqGIYsy0mSyLLMpUCuOPMepWkav9bsEhhjLjozxuI4lmVZ1/Wr6H48nKGaeA3eA2dVt3BFkL/KPLaCh3IAQLlahYtMEAQ8p5tfIz54ycfDrnqDvBgj3wKf1eE4Dn+aldxsHMe3rTOeuZAEKfzjkWhzFr+9U947mOwdmvWYh5eiXfXkwEilFV/qj+/cNdsNz4wkSRnbunmbdTMAv4kopZ4fHO7pXdfYUFtbM/+7FAhWO9ls9k/+5E/++I//mNs/GWOGYViWtRJtFhhjWZYzy3hWBGNsbGyMf2ZZlrXcoupmBaV0dHRU07QZCzgvczzP479cDMNY0cGJAJDL5dI0Xc63QJUMDw8D/9Bf4ceSpunY2NgyvNnDhKKxGKr+lYQQ4nO++S/ZygsrcghQ7Q+NWQksmOA5dglK6fj4uKIo5gqfs+66Ljed8Lo4S92csvBGrnQZeuV9HxKsILi2tWnTxqVuyLKgz2NwZR1CCbHba8MjtI4BHKUAAO1qGgQBIcQwDMbYMpxkVA4+9aaozVyhWwgNGmNsmmYcx3wYPC9fciNtPSFRqv/r2cvfA+5rxRkZfnpm6pVmDaVIcomZkUHCCAAUcvnS8HSFCg/3LoMut68+Vw1CSNM0hgIo85XFwWoPVkGCTWRYIsRxnNmmuHDPsmVZPJWb77Sw/CAv6Fe0ShiGXHGePh3VMIwK6b28Y/C+MduYZp4+Uf0qU2NFsizL8jIfK6qS6fds3gUsy/Ji5nJUgKvDvAPwoRG45H+/umcmd3wrisK3yTfIRW3btktus8uG59DUGFXvBLWVZHcdXN+o/OR4nItL9Mwv3t3+v148OxwW32UM0ImJVEasQr1TN0FnLvRvaFvAQS/+IMUYZ2wrY1sAwCNx1uBQsUAwdyRJymaz2WzZkr8CgUAgEAgEa5CVLZ8LljNxHK/0ILP55QM76i/9yZqU9Ka6tDZrHqZ1ea0iS+gmLUqShM/+Xg5Cz9zhdRTnd6TONE1+ivh/ufyXf1dRFMMwnuqntZeMFyoGL4WfnqFbs2iLEQPAi0Ps387RXw+wX56nA24EjFLGAODR82neUfvYhXLj2Oy+bSve/lxEYzpzyPgJpf4kzszWd6BpWhiGjuM4juN5XhzHSZKEYei6LrfMl0sJrJALXDnQw3Vd0zQJIVEUcTcrf12WZVVVKzeVEKLrum2XKNJYAf6s49ZpjmEYqqoihFaKhGdZlmVZsixLksQrcE5fJo5jLk8vh9GXfAfIf8r4vp/L5VRVraaGZEmiKIrjuKjj5U3WRXie975Nlx87+4bSX5xJGWPv3cAe3KLIVz7wmjVaW1Pzx++49v+5uT4rF3ddL4F3b6rUMwHge6/nFjlzPE3TuUx6EAgEAoFAIBAIBIJChAAtmH8YY3MJYF2tKIpCENtpRRtrZGbYZ+gVIpdJ6I2ZmCtxuVxudbgpOZ7nVRb+qkRVVdu2TdPkiQe8SoDv+7IsF5Y+iKLIidn9bSRIAQAIgpDC3mH6gU58XR3u8eTCbTYp9Aw1KaDD4+xnp9PJGAYDwBi/Po4mywS6vqk+5Q7B1cTWdQ0ws68ZxYBTgOpvbUIIQqjQ3cx9zaqqcp8yFzTVSynwPHu3sv7Lg78r79d1XT6JNQxDPimMECLLMi86N72Ruq5blvXqhXDCj3n8QpUHmIcnQnABt7a2duvWrddcc01HR8e2bduampqWvwYdx7HneWmaUkolSaowdsidwstwXi0PXVEUhVI62yGECvDHV8krqEO8teayFj8awA+OxYqiEBp9dLv6se1Kfp2BAPcNDgNAx/rWP3nnrgd3WBKaut0siQFAUj7uh0MBzg6MzMPxzJIoivLJ/gKBQCAQCAQCgUBw1YgIDsE8E0WR8EyVxDD05qw+ACUykjTE3piJV+vvfJ7PO5ctGIbB47C5Lmaapuu6/FxhjIvSGzDGfAb8u9sxQogxeKaf3tkMwNiRieKeORiRHWb4b+cuv/JMf6Xe26DQW3eungpduVyO13JUVbU+6BvR62dYAaETuGaDhSAKKjiU83CjOsaYUsrDwblwmU8Jh0spFrZth2FICOF6H097yF9lAMAYE0IYY5qmVSMQ8zEJ0zT5KohI/7I/97vXZyRJiuMYY8xVbNM0B136s1dyYQq7GtGeYfXu9ezqbkNu9q+rq2tsbOSvNDQ0AEBra+vk5GTJcnbLB67U8wSbGSOtfd83TbOaDrBo8GkW+QS3+cV13ZLZI1EU3b7OOjZ+eTgkovDCef+mdbqfsKfPx5+4Rv3hsdBPAAD+5oW+//EOm2vZ123t2rU5/c/fHHm6jzkJuqYWvdQ/c7j2U71jn2htmtcjqwoepSXL8nJwvgsEywHG2MGDB/nfu3btAoD+/v6hoaHqt7Bz587lPzApEAgEAoFAML8IAVowb1BKl5Uksdz41eFzMZQwAiNgt2bDXG41BG6Ug9eUuwpbN4/DLswdNk2zMP+Xv1u4Chc9vZj4FGoUGPDZ3eswADDGttfg18euMM/ahJI4hlLXZToSYh++uXO2h7BsOX6+L802slyCkljyJ9dZ+licUjyDxsQQcrBSIyXV3Oz8wnGN2/d9SZIopVzlnE5+g4qi8NRdbl4Ow1DTNB4IwNOfqzm6NE15DUPf91VVfbrXG3DSr70wVqsThaA6g93dpfNN/cv+HGVAEAwjzZ2k91yZKl49PEU3rz7nwRivxPJTlSmnyS4VPNpl4cY++ejC9K7ree4tLdpL/SkAvKUlTrGEU3piJKgz5Q02/u6h8LZ15IW+FAAYwP947Nifv+daviIh5O237Lw7DP/puaPXNKiUwU97y8y5uMQZF+ccx77agJE5ws/wvMxlEQhWOoyx6667jj9w+IfFX//1X3/1q1+tfgs8Y32h2icQCAQCgUCwLBHffgTzw4ymuTXOs4dOXkxK14e9qyZcPjrOAuH7/myDWbmlkVJaWAFsuubFPURcMeSrpGkaRVGaplldj4K4WVUASErZv56l06e5b83Cq6PVSiqfurFFklaDBzAMw5MBQtlG4CdQVhK5YQKgjTEGQMcG08AbMJvLlSUcxno9qSrePS/j8otY5FXn8I4RxbFt2zx9O79YXu/jadG8UlyVumeapnxJRVH6c+nBgQgAEgpDbvreHWZ7BnH12XXdz9xe84+vTj6wwwxT+vIQFNquq4dnPmzZsqXo9TAM+bOxgqjNz8DV7Xce4Tdp9c8ixtjVKfXzjqIoPGt7QasOlLQrMsY22IQL0E/0S29tg6NQCwS69Pj1QPrI9nj/BLupLnx1VAKAmKKjPb3btmzOr64qyu/c3HnxYt/R8apO4zdevPjF+4r72KLBw7UURVnp1bcFgrlTX19fOOJlmmZ9/UxTiAQCgUAgEAjWNkKAFswVPj93qVuxfGGMPXvo1Km0hPqsYnZbZvWrz7MFY6zrOsY4iiLGGA9t4NGuJc+Vbdt+woYDIBR0xDDGXIYOgkDX9QTw/uHkeK6EeKRgJtOq7M8I2Ie325ZpzLjk8icIw1MBQiUlJIQQAKlrJgDtAMAYnRxNA29YyaaYMDS1CmKQpqmqqtXc+JIkzahRrodn9lvvsycHVFXlIhcXo/ONopRijOM4ZoxVqUHzJXVd932/tcao14ORS87pR465161Tb++0XMcBAMdx/vtNmTiO6wz5PRZz3at8mhWqz3Ec9/f3NzQ0HDt2jGd9EEKKoqtN00QIRVHEj4XXSAyCoKRMv3Dw2w0ujRZUeVkBwHVdno3DxwwopWk6VcNzYVsMIEmSLMtBEPB98eSWhdudpmlccrVtu3A8jGNdTpVHT15gO9dFY1R5bky+szYmCN2QZY5tDctkg+TpkPxqmBwZP/LuG7rz5seBgYGGhvoHttRNPnv40DgDqDQr309RGIZLa0PmMxXK5WILBGsBhNCePXsKX/n0pz/9sY99rPotiEAbgUAgEAgEaxAhQAvmhEh8npGnDp4+R0uoz3VSussIHWf1FBusQFElunJwDc73/byclBezCgMfuDOaEMJFnJ+dTu9qwa069TwvkCReC47Iyjkn/c1ZAKDlNJ3rMslL4zPXUpMR+/DOmvq6uhmXXP4wxk5N+Eivzo2OEM7W42z9OgAAoEMXLqh1AGCymAdiVLONJEm4vll+J0jHTsqAahalERc0i5I6EEK6ruf9tkEQWJYVRVFl0ytjjLt6X7/o940n3fW4xiD7B1mcwm/OhxMBvbsDq6qai9FfPz8OAO0ZhEzjtzaaURQVlrW8Cnhg7sTEhK7r3No8vXBiUbXDOI75pGzLssIwnGMDZtVUhJDneVfxJC+SfQkh3Izs+/6CFqHFGHMrriRJGOPpovD8QgipUFY3iqKsgiYiBgAU0OH+cEczjDHl12MyANyYSWwW3FVDJpm6f9IAgPOJ9q1Xzr670+hobeH9ub6+HmP80bt39Q8Off/VvpGwkrB7rm9gc2fH/B/kLBGp0IK1DEKovb298JWampqampqlao9AIBAIBALBikAI0IKrRBifZ4RS+ujh80O0hG22XU07Zd/z1kpuiWEY5ZJ/OQgh0zSDIJjR2aooCjcA9rqA/KhnIPntTsl1XS+mqqqe8khA0dEJBsAAKs0TJ4gRxFhFvyEAdBvJAzduWjVTzvuGhpFee3Xr4sa25r4zA2aTAums0t55FUpKKff8xnFc+OgIw5Dq0gbn5VOZ2xCj9c6gbduu62qalg/24ZJ0fpUkSRzHwRibpln5KYQx/vaLo6NeCgDHR2iNyzAilAEAnBlPgg7rlTPRvotTWzg3yTIS+4cj8eYsubNNnZUKzBibnJzMZDL5VxoaGk6cOJGmabmcipKCJj80QsiiJSyHYVhYgXAupGnKD0qWZcMw+IVeCEN0FEW8RuXifAa5rssLY5ZMmkqSZJ2pcAEaABKGlNgHaWpka8+k1KkqG7VEDiZvt1UiKYdc3BeSfzvtv2XyGMFIli87qFuaGv/47Q37e079yxGHstKPpouT0eaSbyw6PBVaURRhhRYIBAKBQCAQCAQzskpUFcEikySJUJ8rMzE5+aMDA0NpibnS1xhxO3bWTmo2QqiyHVJVVU3THMep7JLWdd22bYTQkUn21JiixsGro2S9ifOV7p4aJK+NwdGJYsHr/Rvw1kyxRHJtJtkzLkN5amT6oW3We27avGrUZ8bYhDKT97miXCi3dEhpZLF4Vqoij8IwTbOT/HoL+fdu9bmMfdkTHcfxSXp/VvXeGPyYRN6k1QAA3NteGDUQBAGvSZiHUsqvu6qqhdWcLMtSFMUwDNu2McYpvdzU8YBtq5vqCWHCvr83l1efAUC95ObsnaDfPRy9MESK9lj5GM+ePXvx4sX8K4qibNu2LZvNllvF933DKB3qkqYpr3rH82cWgTAMKxvVZ0Ucx7lcjl+yQoF1HnEcR9O0eWxzZfhoRMn+QCm9fd0VY/mnrgz8OR0qB31NluUwDD03t5k499b4b62PCUYA0NraijEeGBjgCyOErtu68X+8Y/stjaVvsSZjGT2O+Dj0grrdBQKBQCAQCAQCwepAOKAFs2btKKdXzcmz558dk0oO8LwpG8a+G6+l3JLp9mdedY07Q/n0/xklDNu2XxhXQoYAFAC0DnkvjkkA0KV4pmm+PkqPDpU9pT89U+Itg0DEULOSDERFj0G22UjeuqPNNIxV5uyL4xiRSmqgPnYxDAJV0wAAATAAQDjWLJKEOIlDs4ZKSqup6K5bIfKAZ2UEQZD3LGuallK6Vf4VQcmh3BuvsV/eCI8fUd/KB7EYY7mc45Gtpi7fin76HP5Yn95QG5znmrIkSbzzaJpWcnfcJowQkiRJURQe/QyXMlskSdpULx8dCFtssqkOWypSCDo8UrqzaRIUan6nJunZHP3IdgsDMMY8z6ssu4dhcZ47n6YdRdH4+HjJVSqPbbiuK8ty/maBgkSaeTdHJ0nCc054bcb5wnEcPry0EJ8avu9XP0Iwd9I05XucbhWP41jBEF16zIxEuA2FY+zy8MlghLeZGkoSHsaSP8mqqp4+fbq2trZwBAUAFEX+rTdde5/j/M+nT7rJFU+hbZs3zvuhzZE4jtM0XbTBEoFAIBAIBAKBQLASEQK0YBakabpoyaQrFMbY3mMnDoT29LcQsLtq1lzJQdM0iyQtSZJmFTiLECK6/dRYXt1AMqSHL1XremRIh/LScwVeGJW3Wcm7b+wGAF7NDGO8JNW98vkSCKEFdVvnXBekEj0TALSJgdB1nCQBgOJ7fHKC/4tykxhjBgCGwSM1pm/Hsu0TJJsCJgrtSHMySxFC/aBPEC3jtw8l7RcyncNh6x3yv+kKLZxEkaZplMhUkd/o/fPLxu+O1bab4WSGhgghXhZPkqQ4jnkwRb4WXL4gIa+DN91Bf2Ic7TkfAsCJ0fTEaIoA3nPfpvvXYQBQkrAmckgSMoABu4WXWCRp7PYP7R3FvHelDL53OHp7B261pEKfdbl0Dl5CsEhM3LRpU09PT8mcYs/zKhf948HQ0183TXNGQbwQ49Ilq1CsL45jVVUVRZlVvsqM8Gu3EIkihJBFnohDKfV9X9M0buvOX1NZliN6xUmzE2+MXH6YXGslOgFmmkUngeefIITO5OJ7a2uLbn/Lsr707msPHOn54dGAzhQWtLRQSoMgEJUJBWuWU6dOXbhwoZolEUKZTKajoyOTyYj7RSAQCAQCwZpCCNCCqmCMRVG0EGmeq4yXj5w4Ggv1eQoe65xXKrmYKEnSrM6DYVrPXFkqMBM7F9lc5/XLiL3juikvYTl37YLCGBubmOzzImZkIP8rNApqadDa1LgQv0tdPwS7tACdxvGMQwL5Snq5XC4f8stNx/kRhQSwFIcEoUjSTpEr0ide0+8AAItFrVIyRjekSLMstbAnBEFwSn7LZvJo58Tzp2vucLWs7A7LLFEURVGUMAyjKMIYW5aVy+V4pT5CSOXYlgbzcpE0lcD7b846aErjiyR1UCoeb0iJrLW13tGSuANDe0cwAKzT6KNnGEB6QyO5rpFx9ytvBq/Dxksd8tXjOD5x4sTmzZuLirNt2bLl3LlzQRAEQVAo71JKeTJD/hXDMApvmXK4rqvrOsa4QnAzt07z5mGM+anWdZ0Qwh/mCCFCCB/2yFdErKZY6GzhwdY8ARwhRClN0zRJEn6YXBlnjM3280WSpEUOf7Btm583APjHI8GHtxhcMn7iXPEgwQvDcmczTS9NgnndkWqVOHanens+FtwwjBOB/PIwTkE+9tLp93WZbeuaiza1a/uW/28r/T8vHXlpIN2WWdYfwaIyoWDN8vd///df/epXZ7XKjh07PvrRj37kIx9paWlZoFYJBAKBQCAQLCuEAC2YGVFvsEqOnT5XUn0GgDdm4jWlPsuyrKqq7/tpmkqXSJJktjPxbdvelyvWmlVpruKsitknbmxZQqFkbGz8YsSYZoJ5ZYitoo2BNj44YbFYwkjGqK4mW+SovWpkqezxxqppElzSpVt6+UvOXP5kME2Ty4gYaFN9HTA2OjLsTsubRsCao4kwTT0ktctPDKbbwGorvC9cLzpnvKlNfanOHTyI7pnQahiRAEBNwjqYiKIoH5rsui7/u0JkhKqq+85Nqb3Xt8qd17Q7uKornhJJa113Z3NEx8ZyPu3zCQDsHUrP5Og72pUoiiiljuMoiuJ5HkJI07T87BDHcY4fP97d3V3Uu9rb2wHg2LFjURTxtBBuRg6CgBDChVSMMSFEURRu96781PV9n0vM5cj7nQkhlFK+lwqni+cp89u2mrM0W4q0cn6wAJAkCSGEEMIF5XKPiPzwVV69DcNwIeTyyvDLRwhJKPre0Up73wSTPVCT/+9QiNbpuiRJlLFTPunUaRpHYRi6iZwCAgAG6OenvPXnj96/q1O/ckgMY/xbt11z19i4ri3BFI1ZwSsTLslUEoFgZXH48OHPf/7zf/7nf97T09PcXDzyJBAIBAKBQLD6EAK0YAZKTmwXTGdkdPS/JkrbcuulFMf+mqrTpKqq4zhcIuTGz6vbDmPsejt+auwKOSPGc3pwGZh+/OY2fSlcz5zT5y84diOU3z/TjLwSPOhS5A5vqrPmbtPOWuZEmV6IzAxM+JZlxXEsSRKPGqh+y3lt0eYOa4TqshnXSwBdESnAAGGMkyQ5Ie1cT453kH0A+3qsd/p+wBXYNE1HXCUw3wap3yWdqI8OnQ+3nLNvDokSZRotQJ7rUEpt247j2Pd9SinPeJluGbYsCyF0x0ZZw0lTe4OnmNNNxU3Uq2ERRSgFrLGkB2fTggbHRIGGZgPgjrZEj/3R4dyrIzhHFRWmRG3uZWaMBUFgGIYsy77vM8Zc1z1+/HhXV9d0GU6WZdu2NU3jSQ4YY8/zeDyFrutpmhaOAZSMGy467dyIPT2mgx8+/ztN0wrJG3m4UXrRUpUppfmrxj9leBgF92jzUU+eZ8IFTUJINUexcHC5P4qiNE1PSfX3dNKegfC8XzYz58kBqaP5cqr4+QBPJso1NgXGbIk9OSIjkDp1en2WPj58eazifKx+d+/FOxrQ7i1dRRusq63hgx/zfmjzC78jRByHYE3xmc985pZbbvn4xz/u+/4HPvCBN7zhDVu2bKmvr0cIjYyM9Pb27t2790c/+hHG+G//9m+7u7vPnDnz/PPP/93f/d3k5OSHPvShxx57TKSoCwQCgUAgWPUIAQnmNC0AACAASURBVFpQiTAMRexGlTx53i9zQ7FdZuS6ay47W9O0uQhGeQUtmqa3JEAArlLPvyEb333t5gWNWq7MiXPn/UzTrFZhZqY3YNLowNZ1TXPRdHRdByelvgfeJE2iBEs+UVOiUEwA4XVhmCQJF/5M08zbcqvHsqzLhyarreHARa0RMXZ9+HyWDPdGu88ZXTxo25Hsg7lbd1n/BQDd5JFe/Z2OO5VoTCnN5VwAYFZ7IzrQqR1uj4695t6F2rtD1TKAObkcV7j4flzX5UKtYRj5NAzbtvOq681d2SO4WFS1WLw+zXme5+fL+gF0mwxjfBJZAbriRk6x5Ki20mbf2RLJ4aSmadyEWzis4nmepmm8DZ7nBUFw5syZzs7OIk2hvb391KlTvDJhb29vEASWZfECgHEcF13cJEnKZW1zeMVF0zSLBGjLsnjGBQBUn+k8XQFffArzTAghqqryDsOzkpeqVbZtU0rz6d5pmm7Rg32QqWtjG1K/56I7FJZ+nnSj8R42ZYKeTPFkCv0huqeeZSXWrSc9vnTSJyf9Ylc+A/TsMOwd7f3ArnXWleMBiqKslCLAPCGHh2ULBKseQsiHP/xhVVWfe+65m266qehhft999wHAZz/72XvvvfdTn/pUb2/vLbfc8sEPfvCTn/zkHXfc8fTTT/f19W3YsGGJ2i4QCAQCgUCwSCyZCiNY5nB5RajPVXLgxBmPlR7OubsmrGxjXJU4jjMroYTrFNYldF1/bkLlve/5iWIb6Ti7GqPQdit56PaOe6/bsoTqc//AgG83Xs2aCCVm7aGhybnsHSE0OToyRMmQVjtiNU8Y9ZFqpZLCMGEI8aAGfssjhKpXnwkh/Kr5ta08MWPq9aaOVn/o1ujxVvWUKeV2G8/fwx6h/kUAeCf931x9BgAEsBk/0mgFlmUV2m8dx+ml7+in1xKU3mg9KZ1/KVZNuLIUmyzL3EfMEy24dM6Dei9vJ5fbHAxup+Nb0/FuOrGeOhkWNfkjrusWPd9c183lchuSie3p2EY6KcGU8itf+qMVhRpKuaM/TVPeYH7shmHwdIgkSXgHzuVyJ0+eLBJ/ZVlubW0dHh5WVbW7u9swDMdxZFm2LEvTtCLHdBiGhmHkb4py55/7oDk8y8LzPJ5+Y1mWqqqWZVXjraOUzm/5wTmSpmkYhr7vu667tLNwuKu9cCZH4EzeILuAUE4y1rU3vHN96Zvlqf5icTkB/KsR+dejUqfB3tYQ31NXdmDSoeR7+wde2ndgvo5i8akQqCIQrDK+8pWvpGn68MMP33zzzeXGiXfu3PnLX/5SVdUvfelL/NNn165dH//4xwHg+9///qI2VyAQCAQCgWApEAK0oASUUhH6XD2HTp7d45SIRyCI3V0TrKno56tG0zRueWaAxhP8bM5MGHp6XC0K3+AwQDousoWyrVb6mVvbbqylMrpCVdQw25Ghf/jGde+6sVsqH4K8CHi+P6zVwFympav6wRF3eGT06kaGXNfz1UqpwRxd16vvtKqqSg3r/Lo2v65t+qGR5g6NXHbBX6C3gNriOM6x5B2FiyEEcnxuE37EwgOF2RGO41zM1fWk7xpjXVvM1yBNGEJQILkCQBAEuVwuiiJZlk3DIJgRCLkQDACmbcd23aRix5QRBLHnotxYdnJgemZFHs/zHMeJcxNtub6t8cjWeKQ117fJH9iWjNLceD52I45jx3F47T6uZfNSe1EUOY7DT6DruidOnCgKM+FFFHt6eiYmJhBCiqLkcrlcLpdfqxCngAoadH4ZXdd1XaeUapqm6zpCiG+ZUmpZll2qBKVhGLqua5q2xp/5pmXZtl3ZsVuogyeh34BiAACEzulN13XXdk5LeWGA6sKJ6S8yQIMRopRKiL2ppsLkGPQb3/rbF0/0Dw3z/y+rEYIqESPZgrXAs88+29jYeOutt1ZebPfu3R0dHS+99FK+BOsf/uEfAsAvfvGLxWilQCAQCAQCwZIiIjgExcRxPNup92uZI6fO/SZXQiTVMLvFDhxnzXmfrwLbtkdjNBHjU2G187UtwnwKAICAXV+H7tjarigyANxz7aZ7AKIo8n2fEGIYxhL6nYs4NZoDq2bm5Sojyf0gD569uGND22xXPTCcgzICtJWGeZ10ViGzkqIGaqXU4LPBtm3mq/xvFeWGHQIA0w1izep5AGhFr16Ir7Ms0p+bkkq5dfe8v3lS67DGDjC1DQAYY1xa5cvYtu04jqZpjfgAZskE65DpCFNbVVVN07SOwBjICkaO48xKCMsX8QOAKIpKan98gzw4wrbt6ZlFnuf19PTour5p06Z8WUJZlsfGxlzXndWp5hp05bEBXhqR74IvjxDicjxCqNCOalkWj1shhCxt7MYywY+SH/akXRl8V6tWeKJ475q+vCzLw+nl5xUFnGltfGs0/sL5xEsvd+9jObxBS6bPjznqksaalI9h3Fdv7pmURuLST6oU8MPHc52nh+6/vnv5B0CXJAxDWZaXsOirQLDQHD16tKmpacZSDYqiyLJ8+PDh/CdFZ2cnAOzfv3+hWygQCAQCgUCw5CwXaUawTOBTy5e6FSuGgcHBlydLz23fasRrMHljVnBpGCHkpeg1R6lefd6Ox2sU9u4u9ZPX1f+/d268d1cXV5/zKIqSzWYty1o+6rPn+2zu6vMlaE3jkfP9s10rLG9/ztLLLt3qSyFZlhXUrit8RQoclCbqxODlndbvyP/dgZ/jDtNyM5QRwHr5tWb0um2bPI9CUZRu/O/teo+XGOvV0x5FlmXJslz4mFJhrMZCADCSbsngCzoaC3ArAnAcx/O8XC4n5UZzudxC2DB93+eBG3BJIJ6+jKIo69evL9x7W1ubrutX0Tl54nPlZaIo4sU/TdNkjOVzQlzXzfu+eWw0f0AJ9RkANE07Mg4AcGqSStLlhwkP+57ecyRJKimnDig1t7bAQ7c2376O1CpUJ2x9g1EynSmg6NdjCr9GjuPs0rzr7UoxIyFDUbjy7M954jhe4xZ7weomTVOeGlR5sTiOkyQpHEniHwSiAqFAIBAIBIK1wHJRZwRLDqVUxDXOCsbY431l/Wg1kph0XBZJkgzD4L+4LMv6zeQsClVdq/tv3LX1vTd1b+torc1mFqyN88zF4dGy73lXowCmVu2spMPKP4xJMqVtGYZRpctSkqTIqmPpZdVMH7uIc6NykEt0G/Ka3ZUyazU/swmKu/EjjcoFhBBCgBDUoDOt8kEdjezE/4EQKqpvmYvMJnxgI3lsk/QrAEhA34gfpZTOpWBjlVBKHccJw9C2bX7quBgNALqu84NljOm6zuvXcTDG69evtyyr8MUq8Tyv8oqapuUf5mEY8mTnosgRhBDvD0ubrbx8iIHsHZwa0sj3Gk3TVN14fSjhIn7hOdc07ZWoxEiAmQYvj8qnhyffc8uOL75z9x/d1RlCWdtvxNBrOZkPWkRRZMS5u8tHQr+hNUPIyv7CVlS3UyBYTWzbtm1oaGjfvn2VF+vp6Tl79uymTZvyH0/j4+MA0NXVteBNFAgEAoFAIFhqVvbvGcF8kabpSgyXXFqePnyWQmmFa5cZ+66Ifi4Nd4wSQoIgsCzr2XElLXMap3Oj7tywpXMhW7dQBHJp46oaOEidYdJuaRDqz83CYj86Nl7urY5wuFDPrdK5ryhKquiooOpgrGcIIZFRkyp6XsYrco8mSaJpWjXScBM+aJpmLuccT98FAFl0DgFjgDfjR+BS1UpOGIYX6S0eazzs3cMY1MMhBAxjPKNZeL4wDCOXy2GM4zjm+7UsKwgCQghCaLr+CwCZTCZN06Kqg9XADbMIoZJuax64EYYhNzgnScKvLBfBeQx0ySToNQvvSLp0uUP2jie2bWOMvSA6PeK+PJAeHwlORtIAtvPz6x3HuUmedpsw1jsYAMAT5yPu0M9mMh/aVmnew1CMnxqV+aAFYyx0c7eXiYR+5Ky/OkYLRCS0YFVy2223+b7/sY99bO/evSV7OGPs0KFDH/rQhyYmJm6++eb8DJhnn32Wr76ozRUIBAKBQCBYCoQALQCuVix1K1YYvu+fTUrrhjqmWRC/sUvAK6TBpVn/mmk/Pa4lrCr1GQF7ZxvZtWXTwjZx4VBKS42hZjFypQGcMYhDYDPbkEN1FkoiwmXPM2IsL0p6nscDHGbE8zxtvB8A5CCnj10EgESzppcilMdOF/5XkWVL9rrxLytvnN89BgwihAqHJxgAQqyb/HurfjrfZi7jDtBr2+R9x9N3yjjCiJrQD4wujtjqeZ6qqrlcTlEUhBDGmOdNp2kqy7JhGCXjGhBCW7ZsqVBasAK8BOL0uoLcZMrtuuwSYRhGUeS6ruM4+YKHQobmqKo6DvoL5y4PwDx1LkkZM03zx6fJRIzXG/SZPhRTNIg0UpDO4Tq5m6TJayQPgAEAYqzNH/RTBAAM0K9fO8oXa6ir/e0unS9TkoShU6GS7yEmKb1kAvhHB/pXx8fK9Kh0gWCl89BDD61bt+7YsWO33nrrZz7zmUceeWTv3r09PT3Hjx/ft2/fo48++oUvfOGmm246ePBgU1PTF7/4RT4KmyTJ3/zN3wDAu971rqU+AoFAIBAIBIIFRxQhXOuIKbFXR2//aLnbBwOIHO3p5GW4JEkwxn0hPuJVlbyBgG1Rw1u2dixCosKSk5noBwAGQLHk2g0zLI1nUdSLoLLDjQyTvEA2Y5m7yxskBBAGgFizcTztMcIoS2J16Mg26fkz3jUdeg+/et3k38ttkDKMEQWAi8GGiaRxu/Wqj5pNk3Xjy6tIaMoEGrIMY4yHQfNITU3TBtBtHeQ5AHAT20UtgIr91wsEpVSW5TAMi05dFEU85Ldk3PPmzZuhfI27auArappGCMn71rlFevp1JIQUPpfCMOQlCmdbC3GVEQSBH8uHJ664lf7x0FRezd7RqdfHRnJSs37aZ10FJ5af85vM5PAYPTiBTsDlIcnnh/CdacqfeK3rWt4Vn/v38zGUmepx0seb6jS+NcdxbsnaL02UeDYGjLx4+MTt12ye4yEvB3j1y8J5DALBimbz5s1PPvnkW9/61gsXLnz961//xje+kU9h4lWR+YdRQ0PDf/zHf2zfvp2v5fv+Aw88cO+99951111L2HiBQCAQCASCxUEI0GsX7oxb6lasSCilr0+WlfNaVCoRSZKkNE2FtTwP1+DSNKWUGobx8vjMD59aHF9fT9rXtawK6bkqJXQy04xpQsn86zKmacBk6TacVeo2RCP87zAMdV33fb/kkoXIphVkm6bWshsvv+FNZsf3dkiHMKIgAwBskA66YdZB9TXy8EjSNky2MUQYIjhbv33if8soAgCHtYyyTYxJLWifqVJfqT9O3x2GYY06kd9wwmQJTwnQLrSaaABpTWlKucwXBIGiKOfomzvwMzIOVToWMBthideRm/X5miW+7xcpvFPtdF2M8cDAQEtLS9FbvFfX19cPDQ3xdAWux6mqihDyPK/KcSw+iGgYBsY4SRL+X9d1bdvOp4Trup4kia7refE0iiIeu1T9kMOqJEmSNpV+aqcx4DGD0B8fTxhAymCDmZ5xL6vSB8fxvfWOhxWEYkVR+KmTZZk/5zeb6YaM+si5K3T8X+89dM/N1/K/uzra8fmTJWX+do1mJXoqkFow5iMBKqIEWMlgosOhuXMyl82sBvc6/yy4ihQagWB5sn379j179nz9619/7LHH9u3b53lePtsKIXTttdfef//9n/70p9va2vKr2Lb90EMPLVF7BQKBQCAQCBYbIUCvUXhlqqVuxUrl2Ln+uExpKQkoAiZJkud5YpZxIUmSEEIYY7KivDCulDEDsnubsaWpGGPT0K+iRNuyRcqNJDXNMy+HUKH6jNPEcoYTLHkl3dCz0eUNw4DJsuHO+Q2pqlqNHKnrepS98nCc0dbcs3Wkj6AEpunnJp4wYeJA/A5o3oQKdnfE+NC1/vcTKvexGxzXZ4xNSG+glFIaNtpOjTbWAIfzGxkI29v0U/zvTfjRE/TtlFL+C1+WZUVRMEI66ztL72rB+zqkFybo+hG61TTNRRBYGWOGYZTcEaV0fHy8ubm55DiKqqqapjmOYxgGrxnIR60URdF1PY7j/CuVySsdfPyg6OHD86klSTJNsyjj2/M8TdPW8lQYXknSBAAKn7jG+ofDIWVwV7saUPzUuXjInzqTAyPe2Vg9TejbWrFt24wxhJDvX4pmjuMPdlmPX6Djlz5Xnx+R76I0b37HwIpqBnCV+VyAdzSkFwOg8ZRAjWnSqknngtIfMb88MfF/Xb8aBGi4NArOg2uWui0CwTzQ3Nz85S9/+ctf/rLrur29vSdOnKCUdnV1dXd3ZzIrpmayQCAQCAQCwQKxevQdQfUIZ+4cea1sOTdIAK1XkjhO1vKs9ulomjY12xqhp8fKqc/wO91Zw9AXtWWLxYamhhOzH/GhRJrMNJcVmunskl4QTVmZ1I78DpIkqWwZxhjrlp3oUxKY0vd6N3kRQYoRRTN9nuyAxw+Nv59KqqyoiKapZiJV208f7HZ/sYk8PmRdM5au50IqxjiDzmbRucLVI3o54gCjdCN+nGFywrzHdV1eHa4ZveqxZis93s92e8xARHG9QDW0hTNBY4w1TYuiKE1T3/fLKbmu6x45ckSSJMMw1q9fX/RuXV1dmqYY40LLM3coc/nSMIwoimasQacoCtfyNE3jWjYAqKqqKAp/4Pu+n49+xhgbhkEp5aHVSZKsjhp3c8Tz3LdtMB49HamyFOVyb2slum4gBE5E//lY1GWFI6nys3Nw/Tpck/rPDZH3tssIIX56Hce5p0ntj+QXBykAfKALP7Hn8H037+RblhAkV/bBFNAtmciW0ePDsorZG3WJX4IwDDerEFO9Pyoxz8Zn5Njp81s7i3vRCoVr0Nz1v9RtEQjmDdM0d+/evXv37qVuiEAgEAgEAsEyQhQhXHPEcSzU57kQRXFYxv4MAAggTVORbVIEPyFJkjwzrpZTnz+0vXa1qs8AoOs6mRi6ihVJGsthaecySmZ3I9d7IyVfV2kMAJZlWZaFFdWyrJKZxRzDMIKalkQ1ASF0/tB26dcSigmihRc1BDsEm6ttFMhx8r5z+M295L0IQUf8ihG5Uf9ZNDlCAkcdvYh1uwfuwShtxq9vlR61bds0TUrpICv+6Y7gikEdgmICAcaYu3rr0FEb9TeT/Q7ZBIAmoNtAw+36UQTMNE2edzyr01UORVH4ueJN9TyPu/t1Xa+Qaev7fi6XGx4ePn78eJEaXl9fL0lSOfc0d3kTQiqXK7QsK0kSXmYwCAJCCELIsiz+tM/L4rxeIkKI+7WDIOBxK0IB5DDGasD95DUK14LTNOWFG1WUPrhFOeXgDIsxoH190fNDJGHg+z73sPPVwzCsR97b2jAAPHyKvjRyeVABlwrh2efICBhBcGftFQMAYRheY4SkTG7Pc6N4lQ1wik9MgUAgEAgEAoFg1SMc0GsLUX1+7hw92wdQNrbSwOL0loAx5vt+b2qXS954zwZdVZTFbtbisr2j7ciFgdSqndVaqaSkUukzQ+jsLKuYlJaVQyyfUur5342Jg2vqTbjI44MRQqZl5a8aI5Jv1QEA6TvchV4x1RwApCCHkPVRnYtafaillHJNk6cSx3Ec+m4ONADvALlP13UnlwMA3/dNPM7vFjmNTiW7u7T9CLFO9hgQcs6+w4QzRe3UcbFEixBY8RGkWNhsH2XbDHZRwx4wlAZDuq5HzHJxE2IpAwkhZJgmRogfFyFk0qirhxCnST68AgA0TQNZkRhNASOaYIy5ezqKIm4u5j2Zi8VKQY/l4i/MFKmcpunk5OTRo0cxxjxKmDEWBMGMaTNhGObLBqZpWtjmqUvDWKEomW8PAOSToHkDZFm2LIsXTkySRJZlvoBpmgihtZwHnacwpUTXdYbJD48E7TYFgPMealRDKisxQwBwISBbLeAp5BxKqZJ4tzTqLw0xAPSD54989M6d5XYUUnTKJ3dlfd8vnh/h+/4uW34tV6JjMEBn+ga72opTxVc0QRDIslx4JgWClQtjbHx83PM8RVEaGxtnXkEgEAgEAoFgDSAE6DWEUJ/nDmNsv1upQNwbMpHjrN001ZJwcU3X9aGx0uJCKwlqa1aVmFKO7W3Nff39o8Rgijbz0jNRg4oF6DAMzw6NjsfMJypDyEiCZl1qb27k5lZL1wcrb5ExnKkDgFRWEXJMy4qMGl81rliE0v+fvTcPkuSq731/55zcl+p9n56ZnqVnpJmRRjsCDJIFQhgj6wqwAcPlGexnhTEOmyAc8QzGGF+zOAiHI4x9Hc9wg8U8EJuRjcSuHZBGW8+q2Xu6p3t679pyX855f2RPdU11VXVVb9Pdcz6hUExXZWWdzDyZWfk93/P9tY/9uFs4AwAM0Hn8Nj/GRbkT88rdQpG0pKqe53lSczsA0I5tFusN0icl7It+zmcq0OFW/UzJx9uVUcZK80i6lHMAIMR2GvaqxAGA3cKjYMCF+I1h4PfIh2KGhpy9TNnWhAZfgBt2m+B7nqIoF7AyCwpguM4k9mVBeVo0bYYDIjayoMGZ1nW9oN6WhOYnu3Rhkn6VII7a90wlEnVYVdWFoSK1+5dLPNGFTUhUV03TFjbvWgYh9OJ4qBA4l53b4VM+vt3wTnoqAAzk5YF8/M6tIAhCwcJMKe1R4pSIcyEMueSF42f2bO10GAGAW1PhkEemirI1ZkLUTr2yt+YWEhqEWHGZI/vMZLy1M95kcm3SMzfZRnGuKRzH+d73vvfII4/8+Mc/Tq6o99xzz89//vPCAt/5zneOHj160003PfDAA3zSCYfD4XA4nGsNLkBfEyQxi1e7FZsBxlhcNbhmk82MXhEURan+oHVDxyapqVULXZ2dXQBRFJ2azDB9GVWJ4rizY74M4MTk5HmXuaIO2CwY9PNEylM4P5rdr7HW5qa2pobz6WqmacQoC33qOZkwbtYNRmkYx9HMOGMgt3YCYyyOdk5/2xRmKeBxfLuFupdjmKWUArt8viB8KejfrhyNmDgl3WYwK3LjcbyjRxmcbx6wGAQCZbTaVnK2hZ3LRw2mkE1e2U6eAgKzQXtA5WbVnQHUiId63VQulptx+ii+ofDZV3FjuyFHgHJIbHKn3uJ99xLap2nBjH5HFR2ZMSaK4kIBOo5jSZI0TVu9sCPXdYtrCaqqKghCSWnBKiwq8CXlEGvUxDc9hJBRK7SuPJKHZoQbW8NBNxmMRN8dhrd1E0URCh3G87y3dGs/HYNsAI+PBs9lp5PXj+RJwObvIBhYLkKaqZU9fK7r3m6wkUg6bZf+VPMZ/vHxi791YNsm07DCMEzOoKvdEA6nbnK53Gtf+9rjx49XWUYUxb/7u7974IEHHnjggTVrGIfD4XA4HM46gQvQmx+uPq8lVcJzr00SJa6KoICAtbdUS6VwXffSbDaLJYoFBIDjqBX83u6uVWjs2iEIwr7u1snpmUmiQYXCgNVp9rMAKgA4jvPKtOMLGlSw5lMsHPFg18hob083jl1Kyi8nhF4Q0QuxDKC0YM+2MrphDAUYSAoAlOlZhnEI5CCZnUV7Jthe13YBlhXXwBjzZ6ckIsSKQa0co9Fh9qAUDV2HngYAQNDDTuTsFldo6ZDnqhHGTCCovDCKEBMwOxP/tgj5RnSB0JxOMs3SJACcjd+6m/wQAPqkkwDMINlRb8us0qyE7p35H1AQABgmRGb5KfX2c43v25X5GhOaJqKouoJcSftLEkgK+curAWNMVdU4joMgIIQUh2wsShAEsixjXD5HOLE/K4qiqiqlNIkcWbF2b0CCmM34sDA7qOTvX03Cvb1X/KByHOctPca3B6lBCsMsEDB8vR52SCwf42aRBYEvSRWLsqqqSgjZKrDT5QYXLkXysXNDB3ZtX8JGrWcopUnizdVuCIdTB/l8/s1vfvPx48dTqdQHP/jB/fv3a5r23ve+t2Sx/fv3Nzc3X7p0iTG2yUaPOBwOh1MjjAFlAAAM5v5RbeE1aBCHs4ZwAXrzw9XnFYQ/MNRFEps7Eit9jA5Y5XXPOxujSqp9Jps970IsyqA0Jq8wACpI46BNjmdvajc3utzf3trSSunFsYm8kgKhWrRLKZ7T3dUJALbjPJ+OQVg80OMsbuiO411SdDq+4ouE0NO8rIWVnKiDMNe928BzGLPy+etNoACYMSAIGAsBD5L7LJ+E4cqIkpRS4tmxYmDdzMuvwaKEcmeLF0jhGTOembD6GtWMTDw7NiVc8YKm4BzELARzIt7n+34is+4iP+zDczOgTSGThHhcR17+JbzpgPVMCiYBYMR4iyvMhcDsynwVASCIdcF2q053qJ5otKrXiiQ5mhBimuYSrvC+75umWUW29jxP0zSEEKW0OFziGgQBaIQ5C3IwLnpX/HxKR6TYM44QkmU5+QxjIAENLvelLQqzLEsCsHyAcikuCYmxHQBYFEGFwaXncnLXzGxrS/NSNmwdQylNzt+r3RAOp1a++MUvHjp0aMuWLU8++eTOnTsBYHJycuFdoLOzs62tbWxsrK5AvDiOk4KxydwUURR1XTdNs8pdhjGWy+UK+f6pVIqH23A4HM56gAEczkVBzAAAphcJRwQAz1ktOwuHc1XgAvRmhnufVxyv6v68Xgt4Ca8CiqIwxjDGMUNPZMpLCRLE/du2LHydMXZkeCwwmiu6ekX52NClA9t7NvqQAMZ4W8+cm/vsxVEvVUO1ojja194AAJTSF2cDwLVexl8Ymb29t+X4xXSMCJ23XYs5pbV4McRYfFkUsxZolKJhhOGKdXJd1zGNAQAQQoLYMfS9FjbImIjQ/MM5QtBBBiGAE+Hr9tCnAaIIxDHYa+HOiJFGaWaLejbpBQhgN3l0IPO63alTvt5II78BjSMAgsLitQFAozClhXY3ezV50SUdrutKktQaHEYADOCCt69ZPp0m+6okUVQ3OK9qGo/ruokuXJf3uZiFjdd1PbFUJ6IzxriWsoqbem8rTwAAIABJREFUHgz0rl7psQulu2uvER7NS0WLsTGH9abMMAwRQnPaMWO3N4UTyMhFCAA6STAZiyU9SlVVuOyaF0VRURRKqeM4hBDGYNyHVrHaKMgjQ96HWlZoU9cTyRCLoqxAVj6HswY8+eSTmqZ9+9vfTtTnSqiqqijK6Oho7QK04zj/+I//ODo6ms/nXdeNokiSpIaGhq6urj/90z/tKEriKmDb9he/+MXTp0+n02nGWGNjY29v71/8xV80NdVXA5nD4XA4HA5nZeEC9KaFq8+rweDFSwB6pXcbBKZIJqUxr+KlKIqLpBctSXRYyCppxOyu9jKWHM/zjuUiZixi6/NTrdXDPTYcu3p7ToxNU61qMHQU7G1Qkhp0Lw6Nx3IdKdKuqD4+ko3IIntsF+RW6dKh63rxqaEoSmQ0UUUHAGCsafjH7ewsAEAQRyCNogMhky4PMDAAaIIxAhEACBD2wlGgRwEAfHB809O7mqWpZLUHG38JADpMVxq9AAABx/usXxX+3J39mo8bZH8uP3oK7ezDr2Si7YkHs9LpLElSJfsqxnhVXcOqqi7nGBFCSkZuMMZBEIRhKIqiqqqe5xVEZ8uykiyIa1OGdhynAeBD12szPvqvc0FhVGHSvmKAgQJ6cZaZyGk0NQCI43g67w7kJQT43t7op9MCAzQeS/e2BLbtAQDGmBAiyzJC6ISFd+pC5NphGGKMQZBeChrbgF30MADrIzZARS8wBXR+aHjHtq2rtweuIlyD5mwUjh071traetNNN1VfjBCCMa4r1yiO49nZ2YaGht7eXlEUEUJBEFy4cOHw4cN//dd//ZnPfKa19YohZMdxPv/5zw8MDHR0dLzmNa8BgNHR0YGBgb/5m7/53Oc+p2lahe/hcDgcDofDWXW4AL054erzKiFJIlTQljvEGCEEwGZisUXTrlkNmhCiadqvs5JLEQBUVp/hOtnp7tpR8mIYhsdyESM1XZrOXRi6rn/3clq73ri+q/XM6LivN8FCZzdjmp3u6+5IpEPX86x61GcAAIQEGkVVHdMmC5hfsfIeACy5Nh1CKIqiYl+wIEq+rAKjgLA4fmQLOzL/FgTb2EsANSWfaZDX7Pyoc32TkdOEWmvxdbDTxX/KdE59poCa5GkAyAr9ju0YhrHws4QQVVWrCLKJiXj1LsKVEpxrwTTNKIoSi24BSmmiMnuet9Ac7bpuldjoawHHcVSAD+43vnrCDykAwJk8ubPVO+7Oy6P3NHs/m1ajqej1Tf50gE2C0iExCT2aJy0iy0QQMYQQkiQpMZhTSpOzqY+EElIkTbMsC2P8dFoIGbroJVcAZDHxOjH/alixUuuhNN6xbZW3/+rBNWjOhmBiYmLr1q2L5sYkxue6Zm4ZhvHZz36WEFKcoeG67kc+8pHx8fF/+Id/+PznP19YIWPsa1/72sDAQFNT0z/90z8lcrPneR//+MfPnj37mc985n/9r/9V97ZxOBwOh8PhrBAbO0GVUxauPq8eklBRvJsIySt58YmMfMwWPSDX4DMzQkjRzZNx6tdZMVGfq9BN3Dv2lqrPlNKj03aN6jMAxOImDAnd3dPZryHDSSMnBwAQeDg/2+xn9+h4R09n4Tnz6NhsvWvGNPIqp0UToHtYts2dqeTqTYiiaGmxJwtrLoWBL6fH5ewUAGzzf7mEdRbTw05o+ZFLme50sEiMyWn7xif9+88Iv8HKFX+7KN4iogAAfNRgGIbnlcrxiqKIorioHTiKotULsfV9f8lXmCiKymZ32LYtihVN48v5xk2DbVkfuE6WL6tAv54m/cr8rfaxaS1kiAEayEkjgfRiTgEAguCSj6dD/JqGqAXPxZtMhmTGZ5d87Lqu67pxHPu+fygrGIYZhmGDcMWoyxSVXw1NXHkoxl/sYrvR8TyvrsBcDmftaWpqopSWjN4tvFd6nuf7fmdnZ+230SRQXhAEVISmaZ/61KcAYGZmpvgm5fv+sWPHBEH45Cc/qet6srCqqn/1V39FCDly5MjY2NiytpPD4XA4HA5nGXAH9CaEq8+rx5HZsMps6Ov18OW8eNAIzzjiLhUBVHOSbjIwxqKqP5OtSXHrxN6b95Xx7B0enY6rB1CUsElFCUmStnd1wJxbSkSozD6xlYZ6V2u4GVcpH2yyk+Vw4Lk1XDqS9I96vzqhxHXr+35SakxIj6mwxCzjErrZcbDBtpsAUAjytLjTFLOUCU5seKBNCh0RkX1dBYCz8o2DdF+3PdgfPKNCLvn4ML6pXR0/692xk7yQJJiXJGnouu55Xi02cN/3RVGsEtOxHKIoqiIWV8d1XcMwygZYV48NiaJIVdW6Jo9vPmzbev91xn+86nsxAMCLM3h/oz8SSrRoMCMf43dvIwDwrfNxIc3ccpxbm7V83gIAHeCys96wbTsjmB0SAw/9dEZsFEgSGF0CLTdYkhAAclxXU9WV28p1Bx//4Kxz9uzZc+LEieHh4V27dlVZ7Pz586OjozfeeOPyy1c0NDQAQCIxF160LOvixYu9vb3d3d3FC7e2tt58880vvPDCyZMnu7q6lvnVHA6Hw+FwOEuDO6A3Gwv9epyVgjE2TasJrC/nxXaJnnaE2QjrZJOKo+XQdR0J0rO1qc/7JOct+7cufPqanJqK6lKfAUi0yXt7ybNlgSoScFtsA2NQbgEflR9x7GP5yKo193k5uduWZS1MtPB9X2DsjPm+KfmWWfnAOeNdISqTelGFSeWOs+a7x9Q3FF7RIa3DbCOM7QqffUl8w0vKb7yq3zSo77HlRl+Y1+liLFw0d/+i5YOPNn3kRfHBIXzzltSQSuxd+uFYNhFCvu8X73/DMGzbrl0IS/bVkpXiVcI0zUoisuu6plkx6iEIgjiOMb7WfzbYlvW+vfOnwLEMdtywVbxiTOLb56NvnY8BIBviW9R8GwlUTfN93zRN0zQFQbAsK46jMIp0XccAj8+KmQgBQCbCVbTmm82ydS/RIyenV2jj1i/8tw1nPXPLLbek0+m///u/L747l9y+oyj66Ec/ms1mly9AU0r//d//HQAOHjxYPNUmKW+YSqUW3qaT6ojT05v/WsHhcDgcDmfdwh3QmweevLHajI5NQGVpAAAYoImAtCCvVwgRkkzTLDyKMMZsu9Z02o1CMrUTMHkqI5VNMyiBAL2nA3d39pV9d4hVqI3DWJlAZAAA2LFt80afVmVmZraCE5/pLHCC2C4XDx3hMiUfW5kHTr52UzNjTBTFMAyX5oNOFMyFUcJ5y8pDLwBAEB7H92qa1ua/kArOEyiruM1xSb0ri7pc1wXfy0FzVn/vdvfHCp0PJ2EAFC0umDJMxlNbx2Gr6oXt0ggAUCAAIMuyJEmWZQmCIMvyEqrwJZ9NlOuVjRFIjMxLKwxYxcGdz+cThX2h3idJUmGHLOFLNxO2bf/RfuPxkehcJgaAgKLzGfrbW4Kn00pyjyiIyBKG1950w21heOTMYDbGJ2eF1zdFSYC467qKbj4+K8i41o7xcl4kwOIFF1uLCU8eP//G6/uWb6tcz/A8aM665aGHHvryl7/8la98xXXdj3/843v27Cl+1/O8EydOfPzjH//pT3+aSqX+/M//fAmn6uDg4NTUVPJT/9lnn33++edvv/32hx56qHhVo6OjAJCkzJd8PBlczOVyldq/cAZMJpPRdT2TydTb1LWk8HNiYa7URsR13Y3+KFc4IrZtb/RyOMmPpXV+CtROGIabY1vW4ckeUqivSko9TwS0noVZPbOD4zhefpeglPq+X3Zi5QaicPhc113PjofkBrHRS/JwAXqTwNXnNcB2bIBFvJntyPX0BgeFjjNbrPIoirIaItTVxTCM4xaZCGu6jOxX/Vv7t1Z617ZtIGXkUWCsxZ2d0VrKvUUlaTPPOq9C3rahfP41uiA0lb2uN+QnQsCOqJe83gy+V1tdQUEQCCFJB15yN3ZdV1XVKIoKv1RUVS351UIptSzLgut049Z+6xuVHtPT0t7pqDWK5s28juMMG78lUqvH/QWhPoFgBrZXGr0oy4vSXfeybwkoikGmlBJCLMtSVZVSWhhASnysjuPUWI8xiiLLsjRN831/ySUcy+K6riAI1XMzyran+gLJDy/TNEt+4gdBIEkSv9Ek+L5/Zwvtb5R/dGGu9/5wRGiSwhadTAbzlzKNMACYTWd+nREYCADo6bTwxqaQEBJFkYBYxFAU19FFF6rPCWd8NXVm6Ob+7UvfpI0A16A565O9e/c+8sgj991338MPP/zoo4+mUqn+/v44js+cOXP//fe/+OKL2WzWcRxBEL75zW/29ZUfhq/OY4899pOf/CT5NyHkj//4j9/0pjeVBFul02kAUFV1ocCd1DCsNP1lYGBg4a2hu7ubUlrvLeZqsVHaWR1K6UZXFgqs7A+eq8jm6FoAwBjbHNuyDrcipHUJv6sYIVnX89lKdQl+4VozNrrQn8AF6M1Aoj67rhuEURRFjQ0pUlbL4ywPUVwkeaAbO5bWCAApNH8113W9MJiWVJJxHKesficIQuFZYv2PKBiG+UxGCtni0kkL9u/qazaNjirLTMykQW8t8wZC5dVngEZ7BrX21tbYzYZp6FBP71Ct6VG5lbC4xBOlsIgFi6+IECKKYhRFSZ9cZqhxcQZxcnZU+tXiOI4jdOlR+aJJWXF35JT+bErMuZZ4H0LIELycV99JRDH5tXvf66Uf5qC34NQuPLGLoijLchzH+XxeEARFUQRBqHFUyXEcXddXdhpEHMe6rtf+21EQBEmSkvzo6r9gKnmrkxCVzfHrZzlIkoQQUhRFA/i/D5D/c8yLGABAOkDpgN7RFp1y5lKhAwYA0NHe9ge6/tjxYcrQZCyNedApy8m0mJ0aOefUd79GwMrOOHnJkuXzQ/t2bPJ5IZ7nybK8ub3enA0HQujuu+/++te//rd/+7cnT560LOvSpUsAMDw8PDw8nCyzffv2T33qU295y1uW1ntvvfXWhoYGxlgQBCdPnvy3f/u3p5566sMf/vDWrfND+4nxeQlCQGtr68JbCSGkUg7Y+qFw/13n7ayFhbWaNyjJQdkE27LJNgQ2y7asw63AGAGKa9eV18kGIFiBK/z6PCL1slHOkc0RhMgF6A3P5PTMc0OzUxEJ4fJD7MUpE0V7TXb99i3r/CzaWPR0tkPliSq92MqqTcm/20mUvzyAFiOCVMPELJ/PJ1XXFEXBGBfry0lhN0VRCqKPYRjrWYA2DOPJGmI3GlBw19ZUU2M16TkhJ9TnZUZRuLO3p66PbCZaW1rgUq0xCKYzMyY1AUCMSKOfyxWlc+xgeauGbiZJkud5K2jeD4IAISSKYhX1GQAYY6PqPVvtx4pTNQqkwnNptKdsqxKFNJBSigZ97oQkST7gDJIz+ArvpBl73eACQAzAAJ0jjQCQVVsO2fc2K0rxtZMQoiiK67qFMzSKouRxPTmda5lnuhqD6gghXdfjOK4+XwwhhDFOrjCEkEVbkhygsvs2jmNeijAZg/F9P4kluW+7+NhgUIjdeH4KN0rh7gZ0xhGdyxUFdV171+17GWM/eOHkoCedctDdLZhSuhPF9QrQyYW3rAz9q4wkD13ctW2Tj8wlZnz+84azrsAYv/vd737wwQe/+c1v/t3f/d309HQcx4wxQoiu6x/96Ef/5E/+RNMqRI3VwB133HHHHXck/2aMfelLX/rv//7vT3/601/84hcL0wJaW1sBILlfl5wgyW1xYRmGhB/+8IcLX3zooYckSWppKW8CWA8wxtLpdPIrorGxcUObbyils7OzmqapG7yirOM4yS8i0zSXXDJknZDP5+M4bmxsvNoNWS5J+LskSalUfbV21htxHKfT6XV4svsRxflZqH3wD6HabdC4nl87dS1MBLLMKzylNJPJyLKs66VTbDcWtm0njza6rq/nmXZJIze6DM0F6I2N67rfP5cHKLnBozwTX8jBS0fGJcRuS4U7t29yS9TaUFzppZhm5HVib0RpK0z2Lwg3hmG8FBkAIMb0BoMl6lUiFRVfO5Lliy2HjuPIsrw+NWhVVY/YYnX1WYb4vu16U8Pi0nNCjOr7JbFbYRv94rtMGvMTkSBbSgoWyzjOFaVFl+SI1agpF5I3VoooigRBSFSk6n5qy7JOkbtFWRQFQaazvfZPEMyJp83BiTHlQPVzJDmnkmVMQtpVNUY4i6RprO2Is9R385e/Xdf1fkhDki8iSYwxy7IKp3yiI5RNry4EVvi+X31bwjBccek22UBJksq2rYBhGJ7nJf7rWnTwMAw1TSvr13ZdF2OcrHAdzoJcY4IgCIKgQ9MaZJz258+RTIBemoLbW72Trpz08+R1hNDv3Lrnq8+fYwy/kiM3pSATLlFFrXQFfmKGCGhk+9YtS1vthuDEuQvHLOH9t++82g3hcEqRJOkDH/jA+9//ftu2c7lcHMeGYaRSqZKsjGWCEPrDP/zDgYGB8fHx4eHh/v7+5PUtW7YAQBiGcRyXfGMS9LnR5ScOh8PhcDgbmmtawdnoUEq/dqRaWTwK2GPkmaxycbT8HHZOvVwv5ACYiqIbSPo6yUoZUsqQIj01orZXiJqde7ETByVqDl1Aybsr+7iyKJXk9YUQIsyEFfViAvS+DnjPjd1NDQ21f7tA61CyDGe2oeGafoh69uzoiNw6TkwrZFYQW0Es2emyS0qhaxe5y21SPKjLFpWVkwJ6K150jlKaSHK1WBgSe2/esqYd6YTyznPmu5PXZ6QD1bMgSrYujmPLstx8TspN90ezXj5brBfbtm3l85aVtyzLtu3kfCw+B5MxoUoNzufzlNLq4/9xHEdRtBoDJ2EYVrlcJLE/ddWNlCSpiqc7CelOhJW627oZwRjLBPY3xu/ZfkWHPDRNLCcam5gqWfj3b9nWTTw3iHO5/PE8uj21spEm6GfTZHq2/AVhc+BRZDPh4UNnNlNNBc6G5rOf/ewXvvCF2dm5yToYY9M0e3p6tm7d2tzcvBo/5xBCzc3NYRgWD2p2dXWJojg7O1syJ4Yxdvz4cQDo7Oxc8ZZwOBwOh8Ph1AgXoDcqcRz/x4uDi2YgJLyaudZ9aisFI0LKkEVdu6B2jErNZZeRIU6MgaIoDkRzgpSB4noflcMwXL0pxgghTdMEQTAvI0mSaZq6YZimWUUWxBgfscUKb7KdgvW+Gzo7O2s1PhdooLXaQmU3e11vd73r30wMj16aFUqFv1kxZThlJCfBu2LYI8ASmdf6Eaqq/xqGkRiBl9PaSiCETNOs1w7s+37W8k6b7xvR7p0SD1RPuqxy+iy6UY7jaJpWIhZXL4AWRZHjONU12cRZDACmaVZvYV2oqlrFfJ34zetaoSiKi16vkr6h67phGKqqmqa5xmNm64GkG59Kx4xBm8yCGG5uvsJgThn886GZCyNXjAFLknT79rY8CM8HTa9rpo3i0lVUE5W/uf/ggjs4OrZZ9dkGEQAgzaSnjpy52m3hcAAAPvGJT/zzP//zWs5BjqLozJkzqqoW5wNomtbX1zcxMTE4OFi88IULF06dOgUA+/btW7MWcjgcDofD4ZTABegNCWPs+y+fc1itT/tmJcGQUw9Hzw2NiosHgbXiMJnyL0lSfPkU01Dd8a8lGtDS4q4qSUKqqhJCkqS5F3Lic1npibT0eFp+MqM8npaxrAEAxlgzzJIHKkEQ8lF51UyD6Llp8o3nz9n24nm4JfR2d9dSuFezZ2/YUre6vck47pf3qk9jrbAPMYsBABidlq7woctxEOP5LoHK7fMkL1hVVd/3V68WMEIon88v7bOWZU262qKxy0uQd0Xximtl8QkoiqKqqtWrCBY02bLnnWEYmqYlkuXRmVDWDAuXatyrRF05jHU1KdkhGON8Pi+K4nrOTVsNkkKCfXr8li1sV5ve0mgacpkL9RefnzozOFTcnTo72gGQCPSpGfzTmWpHp0cM3rlDfU+/2UzKaM35Cj8DGKCfT8B3Dl/MZHN1btMGoG9rbxKeeNKTT5wbutrN4XAgGblfjcTbmZmZoaGhQr0ExpjruocPH/7Yxz7mOM6OHTu6uroKC4ui+MY3vpEx9pnPfGZgYCCOY0rp2bNnP/vZzzLG3vWudzXUMzWNw+FwOBwOZ2W55vxKmwDG2I9fOT1D63jO79HXV1T/RuTSxOQZMGtZUmQ0qd8VhqFKqM8QhfLlvKpTLJ8lNQkJIbIs1yLbIYQMwwjDUBTFyQC3iXEURaIoUkoTwSgMQ4zxiAuaSPJxqd40E+Ie0zzv4gsZca8WFm82xjhg5XW9pAbXmC/864uTf3RTc2M9UYOEkFZ3elprq7gEjbYhr33rNe19BoCZ2XSIy1+3Iyzo9oxttAIARQQADHvGutKn3xhZs9Kcft3DnBINVxTFRDmNomi1q8x5nldLNbzlUD2gYyFJpcHCp1zXLdiZk5OxRjO4bduSJC2Me2aMJRbpM5k450XfPg8A8NtbNTFyqlu5FyWZ7h1FURAEcRwXBqsEQcAYY4zrOpqEkLps71EUJdO9k3jopCXXTpVCSmliPw/D0DTNSkfy6fHgxPTJ+2/dm/SldCYDAD7gncQ5F1VxTbK37t+afOSB/epXDk/QMtOeWKUkriwVv3POOmikb+vfVHUgEEK7RedMqAPA09PQ3phubWm62o3iXNP09/dPTEwkVaZXds0nT578/Oc/X/atrq6uT3/608Xjpgiht7/97SMjIz/60Y8++clPFi988803v+9971vZtnE4HA6Hw+HUBXdAbzyeP3ZqKKzjBy4CtrXnWpftlgml9IU8KfuQL0Op3nCBaUQzACAIguuJvV+wUxVmSVfHtu3EfZyE8IZhGARBjVW/NE2bDdGvLP3xtHzMFp/IKM9Yxq+yUgRIUZRCgVdFwIetMvb4U674eFq+4IkAcMYRiktyV3GVFru8v/zKTL3yX19vb1eYLeODprTJmb2lRWtvba1rhZuS89lqut6E2IicnGrPpvKTKWtqXGoCAAysl83piTl5bjSBADOu1D2Tzua6ruu69R67JZBU5FvVr/B9vy4/WmIWSyIy4LL92TAMXdd1Xa9rnwRB4Hlekk2RJEcLgpCotIyxtBufyuLXN/sA8PKkr6haHVtVDsuyElscQqggRgiC4Pu+67q2bddVLbDeyRbFjmlKaT6fD4Ig2Wl1rafsmg3DIIQYhrEhIj4ope0VhnsbUTgcKl9+7lw+bwHAY6cmAQAATcXVuygauTQX30EIeffeslNwqjv90YAl/fz4ZrMJv2bPvKT+/bPZNbhkcThVuPPOO6enp48ePbria96xY8c73vGOgwcPtrS0JLeS3t7ee+655yMf+cgXvvCFklk7CR/60Ic++tGP3nHHHYqiyLJ88ODBhx566C//8i9XL9WNw+FwOBwOpxbW++Mcp4TDx44POPXVfWIAXz08jgBMFL11T5tSc605ToGBC2MxKiMS7cHWaVrm9eFY3kJIHMcIwfFIv0mwgqBuDTqZ3F1SAi4IAoxxFb+kIAiKojyblcMFPmWPomeziogYAhYw/JtN/omKac7zxIB8JAK4hVZVWrIFXIC53kUBff2F4Q++duei6y9mS2dHN6Wzmczk9CxFIAnCtu4uSVJRuZ1/bWJRAuUErj6wB0EHhPKCXuKQP4ByoyADwBZvckLvAACTBb3gWJc9qgghXddXKev5KsIYE0WxSjjyQqIo8iQdwbwxfMm7pRCfjRBKUk0kSSKE2LZ9e5d2POM/MykcbA4P58Tvno/esb3ULl0vlmWVXCuW7C6vV+ddKGrEcZzMtFhmBUtd1/P5PMbY8zzGmKZphfqQ65MoiiKGX9cW/XKqdB8azANQXUa+cnTyrZ3TLRKadQEAcmyRi/DxdNTbM/dvXdPe2pX/0Vjde2DQlx5+5eK7buxZm8iXNYAQ8uYO9LMJBgAU0H+8MvIHt/dd7UZxrl0+9rGPPfzwwx/84AcfeeSRvr6+FZR6u7q6PvCBD9T1EUmS7rrrrrvuumul2sDhcDicFQTFFMUU6ky943A2B7zTbySGR0Z/bdenPgMAAGKAKKAsE791MvP1w+PcK1QXjLEhVt6qeYoa7MqTCAMDgBwTElsKY0yMwxfDpXv3SuQbQkhZ/SUJljUM83DQ8ERGWag+FwgZChgGgMfTclxbEUsNz3+jKIoyKq9BB1e2ayYkS+hpGOPW5ubr+3ft372rv2+7LMvcs1OMhcv7JVM4GeFg3ci9AWULr7eD5zA0w6S2KJ+oz03M7/DTVlGQi6ZpV0V9XoMKafX+sPN932RBoULgirSQMUYpDcPQcZx8Pp/EQL+vX8za0emZGICFDH41tQK/QZPMkGWuZwlDEUmuSME5Xkwii1cvzFiWZFAkiRuilEZRlIjaiqIk+UL1rnBt8H2/XcMX7DKHoOhOgX40zryiayNBbJtScbRgNrpibVu6Om41ljJWkWPC1wfG1rN8Xy89ne07xbmxIp/hH7506uq2h3Mt09nZ+eijj2Yymde85jXvec97Hn/88cnJScdx3Aps1gKhHA6Hw1mUkIFPwafgRnTR/yi/X3A2F1yA3jC4rvej0SvkvN04W2nhKsSAvnli5ntHLn7r8Ogzx89nc0usA3btMDmTZrUJtR1R7ibBAoD9gpPUIQQAD0sAMMlWJhaw7EOLruuGYZxzyBMZ2aErLNfeqPslhdd8hgCgH2Y742zxfwO5Uivf8OjoyjbmGscPAobKX7QP04ZW8Hchu5V5R1lqL8oDgAi0G/tToLRGVkY2dRbtZZkWP1NiCr5aEv8aPIEv4SuSOItETkUILa34Z/X15/N5DEwmMOagNggAYNhiZQXcuojj2LIsQRASAb0uCn1gCfp14vVOZOiFu8uyLNu2VVU1TVOSpOJQFFEUEUKCICR5HYSQwscNw1hYZJJS6nleMpinquo6LHhICMEYq0LpPsTAQvGK1l6M5gc1726OEAIC5fuqT3H+yiGBm/p33NPGoMLyVQgA/+DoxXo/tZ55/XXb2/HHb3YGAAAgAElEQVTc1WwkUl44zjVoztXhE5/4xK233joyMjI1NfXwww/fc889HR0duq5rFVjV+gccDofD4XA46xMuQG8MKKXfPTpaIoOeoQ0AIEGsQX3xDhRQnkkeCOci/T8HnanpmZVs66bj7GytGv2EkGIAt4p5EvmJ8lUoGJWOsW6Yyzc5hmFYIlQZhgEIP56Wh/xVSdRpkcpMyd9Dsr/MqEfzUvF/EVuwdXzIdkVxnPLORwOiAyg7A9JZpp+EBgSgIAoAIeDDNCX7dihr/cF0mz3h5PMLIymulgC9BmbMpWnclmUhjA3DODtln0hDXUHSNeK67h/cqAPAiA37VA8D+8bZKMmbXubhCIKg3pkHkiQlUaFJ5dIlf7VlWUkRwpKJC0k+tWVZyYtJoHOikid59LZt27adBJUkO4FSWvbYJV5yAEgCr9dbKnRSv/Fs7ooXJcw+8trOt9+6t5Us3LcMAAiCix6uNB8lAvSt0/nTw5eKX9zR231P2yJ92yhXe2Amlp4+fr76BzcQCKG37t+SQnM79iVLGRq5VP0jHA6Hw+FwOBwO56qwvh7eOJX46eGzNiuf3RwAqSPitBxPXfLeyau7VWa2ngBiBCypMZWAgTXETpZoNhIRuCuiuBWr2KqqIoSeSK9irncURQs1qUPpxcOjOSuOH0VlL9oWCK8yMxmgCgABwABtSN5qCnLTSuN+yFmeV3adVzHhZMXNxQtZsskaAUz4VDb1545ZXSk5Bcu8ypbBd50/uUX/3y/ZvxxH9/b6h3LKN85GAPDGLq0ZL+ta4XmeJEm1h1+Lopjov4V5G0smDMMwDDHGuq7HcZxoymEY+r7PGEvWX2iYoiiU0sIFLamUiDEWBKFk1kUxheVd19U0TZblKguvMVEUZWNhbyo+mZvr2wSx/+fNO03DAIB33777S8+d81hxt0cAMDBL48qhSQlPTaO0c+GOvdsLr+zo7XlmajSobCPwGBaBhgsWOOUreyanOtrbatyoU0MjRzPMpUjBrEFg1zeJW7q7avzsGoAQ+p19XT84finPJAD48WjwnlQ+lap7EgCHsxze+c539vf31748z/3kcDgcDodzDcIF6A3AKyfPXghWUWF02KrLQBuaENexfzKUmOoV9cSyZE6/zlOsyPLyJZ7imZuCIDydWXl7ZjElAqUbQx+2DlECAK9rdCcC4axTUYz+wTB7kIz0bd2yqi28dkCVo2CiBTKTyCKZRVk5JSPqXVngTlGUIAgopZqmJY/BqrrcInjrkyVPc7YsyzQaLwqpbUb+P0+5H75lWcX0ykIpdWz7T27Rvzxg//Qietcu/9dp0YrwU2PxDc3K/iZUoqsm5mhK6cJsioUkQck1tjnZSyuYiEIpLf5qQkjZDpYIzap6RcK+7/u+71fqkKqqhmEYRZGmaY7jOI6z/OiSlSXjMy+eP0//6KYm83JiNULoA7ds/X9fHCmezKSgOMtq+iV2xJFTZ85ft3tH4ZU3dZHHxsocNQyMAooA7xdzx8LUgvfRYyPBB1ppLRLY9w9fnInnmufFkIlhaByE8dHXNEbX7dhWS7PXAELIgwe2PHt88FysM0DffXX6f96qCas/vsXhFLjttttuu+22q90KDofD4XA4nHUNH4Ff7+Tz+eezq+s2pYC+cnj8a4fHj50+u6pftEHR4jrMj+eonsNycRbqVjznPD1NjaQy4TIpqAbJP6LFrHPL/7riCIJ8jNNefP8W+N3tqKdRO9Aq31HZPk8BfXcwOjM0sqotvHZQ5Vr7z1Z3gmLiCgogtAOsxFuaYJqm53kYY1mWHcexLItS6vv+2hd2W4MQzOX4iFWIAKD/+t7f6IL//bK9GkJnkp78wRs1TUQ/GhezAbSKMQF2ZJb+YiRIyveJokgISaoLPjHiD+XCWi4jtdufAUAQhFV1o8dx7HlesjnFFxPHcWRZdl3XNM3k3eQfpmmWNeZLksQYi6LI87yCCp9kT69e42tHFEVd1xvl+SKED2wJByevSHCSJOn3+huKX2GA3tBMG4SaOuqzeXVweP5y2tPVeZ1Uxv1diH46FqbubSmTqRIBfubk8KJfNzk9W1CfSz7+bEb695cvDZw8V0uz1wCE0Ov39d0g5SGJun75HC/yxuFwOBwOh8PhrCu4AL2uieP4Gydm1+SrEAX0oms+dezcpcnpE4MXp2bTxaLVtcxOrb7n2POxdiSa05pt2/aLBOKz8QpoWMXlwqLKTcO1BTCLQO/tAB0qBr/GgAo9QZKk044w7pPnpuHFGfafQ3RgOtxmLKKA/+BCxPvSimAaBiymqgg0aguzo3oHICRDvJ9l3Py8BIYxTqTJKIqKzfiJZdUwjLVM5FiDAN8oipY809lxnFbqIGDK1l7G4InhcJUa7Lru+/fJDRICQBM+JoilBDrhk2+cjb53PnzsEjnlyP89FH33XKAoskOxLC8yIcY0TYxx7ZbtJLt5VTXoRGq3LCsIAlVVk7qpmqYJgmAYRuHdfD6f/L+sy1sURa9Cksx6IIkfQcB2GBQAtun0W6fZI6fddCZTvFhba8vN5tz1tl/IUwYIQTaqtZf+fBrbRTvndft2NuBqsd0/nSk/XHHakz1vkek4Gaf63kYvONp/vDJS12jH6oEQuvm6XfdvlUSg01R++uVjV7tFHA6Hw+FwOBwOZx4uQK9rHn5psJbFjJXLJx2MjZ+OxYdy0qMXg/84PjM4Or5Sa9647OrpTNH60glCwLNYS2pkdV3O6JaB9kGt9QyrYFmWpmmJyfqSTbuw04ndTuR0ILcdux3YbUPe3S3Re/e1tuJqHUMEekD333tDZ2d7mw0VPZXj3rzkTUS5g1kigimPnc9DyNDtHeJ/XVxc6R6ZXJtxlE0OQqiVVotf6PJnmCDMynMWy90sX6xCJg5NQRD0KylYBS3LUlV1NWruLSSJBl7tb2GMLXlzKKWNkZN0/XfsYCdnohCvShQSpVQUhAf6xP/ZL755i+DGKB0gnVAA8CgKKDuZjrfKoe3T17ahlCK+PFlNCieEOI5Tr7s8DENFUZa7JbXhuq5t2wU9OpGbE+/zoh8sezTXwEpfC4QQURTtkA3bGABa5DlT87/8otSN+7oD/a1CCACnI9PA0WxYftSHlB9ERI+enq8bjBB6xw1bDLyUEb6nTy9Sr0/Eiw9HuYx89dhMLrcCt7YVobmp6b03dO6SvVcj88SZzVNukcPhcDgcDofD2ehwAXr98uThUzlW04x7C+afySVYyUfxp6aRbdvr5PH+aoEQetPu7gNCfQmwKqKMMVmWx9y5vdeNvZVyUCbJCYIoTcoNttboaA2O3ujqDZ7W4GoNDQratqVHEITfPtD7e/2p2+TsdtnrVcKtSrBNDvokd4fovLUb//6NXbfs2ooQevJktYiM056chLTKsnzCFiZclokwAwTADpredy/EvfriDT43kVl8IU4N3LylpZIJusOfnVRbCn8KQEuciYqiWJZlL6DYbeo4DmNM12s4qMuDUroGDmhYXqlDx3F20CwAREYDAESUrVLaQxiGth9SSjtVAIB2iZoCBQCdsH492q1FL82SG1pwFEXNIlVQNBbKhmEqilJWkK1uY69koI6iyDTXunRbEATJWFo+nw+CYFG7etlchXVSziuO43w+v6tF6dQRAExZFAAQwLjDnhk4VbwkYyy6HLmRptIL2fInQlwh8z1LhYmp6cKfBON37OsUoO60maFIqT43JaXVOibx8Nn82MRkvQ1YJRBCr9+77V27U4PZYGp6evEPcDgcDofD4XA4nNWHFyFcpwRBMO4vZS58ACs8jfo7Zy2AfAOKfmtP26JTvzcxFwKx9vEaA0U6CxyAOI5tPPcMP0g1Su1GRVmRWeSqqh6Jymthd/R1M8aGRy+N+CjDBF9sW7hMOhvf38oQQuMTk8PhoocVybJMRIk5UT7CFBACaBXjgbySInF/SlAJO5Ku9vmXc+LdtKaaV5zqKLK8X5g+Fl9x6JuDrCcq02pz8Yu7Ie8umBpfSy5qUuSt9hJ2S8a27TX4lmX2usj3RTW2lRRBuW8ed9+zTzVWopRoCUlEchzHYRg2y2TSx/1GFARxAJB1cSJEHmwXk5iUl2ewLEW/mkAAoBB8Q7MmYNRnYoQgiqIkdYQQQghhjCUqfxzHGGOEkB3DbExaFLTwKpRU/0uK+63s1lXHsqxESU/6QxAEcRwnGjqltDjFW5Kkhc1GCK2fC4soigihLWo8YuHBHGAEb+9X/+uU++1j1sFd+ZRpUkpPnx88mo4zdFn1AH45aj/YNp++L4ni3R34ZxNlltRQ5FQucjgxk+npqJji39zUiC+M0cq1T4tAPxyN3hKPb+3urGHhtUDXtHv2b/dW+lTlcDgcDofD4XA4S4ML0OsUSukDN2wNw/DVweFXPcWt/ABZCyLQcFlud5Rl4sMnZ+9uYb1bupfTkg3K5NR0vp7Z93sFN5+fE3F2yPGRyyazIdDbRLp8ARohlMVKFJfRBXqizLnh9KuskSENACpJBzEiT58ZVUL3qQm8v5VMMrXK171qk+t08YmM1BTkcrEEAG/vRQIWRYy+O8hOZ+L+RnIkXV3ZRI+fuPCm/Ttq3EBOFXb09sSDQ6+iRgBQIk9ENCunYIHplVypNRNCaknilmW5UOPONE3XdTd6fvcya5EFQdAnZU8LzW+9ofGHhzP/33H3w7foKy5AA0AiLruuuzMlerPRsIVTImRDlEyg+N3dUrIAABxoI5kQTTnUp8iL4dAUBYBfTcQAgACaZHJDM4yCEbC5PsEAECRpDnOdpNWIEfLL7hlKKSFkjWe9CIKQjENYllVs3xYEQdO0whCF53kL9XHG2DrJIAYAQRB+NuhOuAgAGIMP32ZalvWnt5v/fCj/raOTFCYpoBhwMvlMJ9SOl3hfnqFiFEXFcwi293Slpi7maOlPhSrqMwCMVhWgEUJ9SnTOq1ErRz8Zp79r5BpSqdqWXwsUWQ7Dmup2cjgcDofD4XA4nFVlvfiGOMUUHqdFUbyhf+fv3dCzhNm1xSxPfZ6DAv7FDPnekZFrsLj88XTdelPiFieELPQpL/9hWNONwbi8ZDwqNJ6AJlZDKbkZoo/aNAZ0eJpeh8tEZPRi+w2m/YZG3xDgmYy4C7KnHQkAbmlmqoAA4OFBek+LAxiLEDdU3abXNvmXmP61o+MTUzPVluPUxu6+bW/rNTr8mVBSHFFbqD4bEBVriIqiKIpSy5lbKAeX1IITBGFVo4E9z1uz1Okl47quTkNfMd/ahwHgQna1FPkgCEzT7FODnA92BNkQCQgA4LomLFK/0JgbW4TZSCCS1KySrSa6sykoVBxlALM+5L0oYBgAMUAMEFz+f+GLfm2p46SxrHE4OSKrtIGVKLY5syLCMFw/4vKimKZJCBm0kBOjnQaNL59tURSJGBBiMaAYEEHstoZIAtqn1HhbL58EPXB+tOSlt+1qqrBwvSuf5417eupZJ/ru2Xzx0VwPxHG83prE4XA4HA6Hw+Fcg3ABet1RMukYkhnx6+ZI5Zn48JFL+fzqzppfV0RRlCZaXR85GaoRERMr301CXioaP3gxNJYpt4mieLhC+Eb9zGlSj0+J22iaXDnOcZHqT+f1ZzOSlbfGMsGvM3Me8JdmEWOMMcDATtnSmRw8egnftwUjgOZyNvHtSngOJWXx0E/Gw9lMdoUaf01jO+50UeJzMRqEvVHWdecqZyKEEEK2bdeShhzHcfFinueFYbh6kdBRFLmuGwSBruvrJ0ihhDiOO8OMysKovbtRYo+e9Ymir4ZKGwRBkkfxP7bS13UL929DH7he/tA++c4uISnY6Pu+KIq2bb+tmwGAx/B0KBx2dUUR72wO0WWhcLaG+KaxSNS0ucOqqqpxGU3T1l6tcxxH1/WF0dW6rhfGUZLuUXYQJTECJzUAV7ml1QjD8BfDAQDc0RIen4yKX2/TyZY4l2RZ/EZTFMQQAD5m1zixqfzRfMUS4/iKI2UYxl6l/FipWGEM+7SvVh+XIoS81iw/ZcdEZYqIUsC/PLHuSv8FQXANDpxzOBwOh8PhcDjrinX6wH/NUnY28Uo9OKXQyljJPBC+d96ama0a+ruJcC4LebVjgXCCpnRdtyyLIAiuONHQJapUrxJWHVmWKxWnqpdiTeK5tDQ+63RE2XbktiG3HbntyO0AW/Xyo56gY9qnzssNAQXKQCNsyBPapDikcGjMVwjIC64oMmZU04s0FPTYxQ2f6rAe+OVM+dNZgXgHswvqsyAIuq4nf9bY60oWi+PYcZxVKr5XwLZtTatvmKdGVkROdV13S2wBoDsPdOoC/J/DznDaX40GM8Ycx2k21e1arDA/n8/btl3IoFAUJYoixljo2g/00DtaYMfcWYkOO5qhCPtTEQDkwpoO9CFbMU1T0zRBEJK6ppZlOY6zxhnQCa7rlhSllCTJcZzC4dN1XVXLq6VJdHVS9HUt2loBQRDO5xgAXMxd0cg4jrc1CI8O0mQm05Oz4mFrRdLP0PHzQwCQWMWTPfMb1/cpqEyHrzQLymXkzIXh2XS6SujKvt07yurX+QpFkk8G+josXLyBrPQcDofD4XA4HM6mhAvQ64uy0aKiKJLlRXAk5Nic8RbVPUt3IejHF71rxFIULvVZ+lykIoSCICh5ep9i0nJM0MN0xayXlF0hVEUMDWSFw9P0yDQ9PE0PT9OBGZjyUasUtYhxrxwCgEEoAByajF6YDK0YA6Df7BH3pGAyFN0YxhZo9XubwL+yMCYF9Mr5kZXahGuTC8MXKS5vZ24Bv1hAlCSpIF/WIkAzxhY6kZNcDsMwVtWkzBjTNK2siVUUxVrs22VZKS0sQFiMgnbk/+W9OwDgsSHmuP5qWG4ppa7rFnZ1iYCeDN4wxmzbTsX5vUZ8f1fUqwEAxIDPB2q7hhvFmu4XAUPP5NVRly38lrWHUlosHyfeZ0EQVFU1TRMAPM/zfb9sgH4URYlU7ThO7ZfW5YwCLsQ0zTOzIQCImJ3PAgJ4Q8/8u7d0SwAweSldf0RGNY5awk+OXvjSK+NfOTr9pVfGv/HKxadeHb5/p1n7t2Bg50njIYv8bNR6dnB8Jl1+XPl/7G6oq2Evnlx3JmjG2FXv5JxNA6X0z/7szz73uc8VXomiyPd93sc4HA6Hw+FwqsAF6HVEJaEEIfSGtpV8VGYr4Z8NAZ8ZGV/+etY/ZKk6hQcEAARRKnGfxYBKvH61o+v61IIyU0smKidT7Eyht/WSd+8gv7ONvKsPv7WXtIjxkIt9hrdIwVYlAIBLHrnkzzXj+xfiXpX+ZjcCAAzMJPPd+I6mYJyVcYme89d15u/65xSt6L1tpPPPwISQZExLVVVVVfP5/KJrrjKqlKRDrJLJNKm/5zhOHMeaphUbrg3DoJQmVu4lrHml7PYSje7d3XVL/46mxsaDbRgAvnqSrlJ6ddLmher2wqMThqHrujc1ROplfd6iZIwqW+MatU523JJ+MYmL9+3V8hG7rls47knYiCzLGOMgCBBCYRguurcppZIk1eJMT8LNl9ajFq5fkqQfD3rHZiIACCkCAAZghyjvz52JjFIAmHKBzc4u4Rsr4TBhOJSL/zztit8+a6mo1kGX/aozlyCPkCVoL1jkyQtTC0+ZBtN4e28dXf2Iv1qhPcuBm6A5K8i//Mu/fOtb3yr8+a//+q933nnn888/fxWbxOFwOBwOh7PO4QL0OiJJ+SzLtu7OB3doXdgBYBiYDhWXXEuGc9fE45yqLNFx7AGKtdTL5fKax9gSUzgsECtFgi6BMJ6XqGQC79lJfm873GD4MvV8z2We5Tu24zhdpvx7O4RDGemCK4gYAcAbmpy7m+3kg51y9PMJzBh713Z0ezvOx3NKWKMQX0Cpst8bAOFGoSXj+36EytuBNXZF0TZZlpNM50SmrGXlZR3QBRzHSXzK9ba5Cggh0zQty0q6ROJjTQzXuq4nb8Vx7Pu+bduGYdQbvpwYaZffTsdxLly4kPz7D950Y0oEAPjyYWeVijR6nkcIMU0ziWbWdb2K29p13fu6iuVm9FJeyWQcBRYX3ykgj6IfTQqybhiGoejmks3myySO44LCHsexKIqu6yKEfN/XdT3pxouuJEkRKStVi6IoSVKyMxVFcV3Xtm1ZlpOdXHs7CSHJLpJlOTk6lEijNkz7cyfO3iYAgJcm2VcO28maC1f702lQcyupQZcDuaymDo+ApfW2khc9Iv/8kj14Yajk9c62lje3bfiLdtlJZhzOkilcskZHR1955ZVaRnk5HA6Hw+FwrllWzErJWSaLPhelTPMtB8zCn7PpzPB09rhT6q5dJhgYrVnfTMdXR6dYY2RZaqOTU3gJli50Ji7/qSkqtghCLXpKMaqqDsR1q+EIKKvQSaaDuSO4OwU3N4NtWbqun3GknYqXBFgn73qeJwjCO7fLGGMAYSAbPj6tmIQCwDYlHPJEAPjhCPxOl28K8k4TbmxG/zlE1ZReqS9hYHEcr9uic+uckfFJKKvsM9YHjl3UqRKZjCUlI2um+nEJgiCOY9M0V+RJW1EUhFDZVSXdr0R1tSwLIWQYRnE68KIIgrB8HzRjLJ1Onzp1ateuXYSQT7z9+r/8/gk/XmR3LQfP80oSJzDGkiSVNXJalnV/l/rzScG5bH4NAV/MhLc0OMMVxoEAoAn83NzFAXkxmg6iLo1Y9hUZ0AihNUhbSr7Ftm1VVT3PS2ohJsnOpmnato0xlmXZtu1a1laylwzDQAi5rivLsud5kiQV1uP7vu/7dQnQjuPIikIw9vzg34+VuXEbCgGYOwz/9lL+oVvM4h04MMVuRjOu2UQr37t7RX8qEjy2unfYvbJroXIbjtAp0hQOXezf1lv88vbenrvji0/MkhoGQVFJOdMaCYLg+OikrTUDADCmedkOVehqa12ps4wxtrSGcTglKIqS3FtXNsyHw+FwOBwOZxPDBaB1AaW03if85qbGg7u3/f6NXQ9sV97Uxn67V9olly9VXyMapvv08K6moPb4SJuJSyjQtxF53c5ula6k3bsJRUtQxARBqNH+jNi8NldJfcaMBgwBQKeKbm8XMCGhqJ1Kh+fz9JFxJY7jxNyXGE6jKLJtO1FtfrdPAAA7RgAwHSZP8uyg4Y2F8s8usXN5eG4i2t0sSBVa2gxe4AbfeGWsWEC0HWcmnbk0OZPN5bk5ujqXaHkn7F7IObZV+LPgGK332rLo43Qcx/l8fvllCQ3DiKKoujV7YfBCEkgtiqKu6zU++QuCINeGaZrVFwjD8Ny5c1EUKYoiIgCAaA17axJMUeld13UXVgF9KSt2x9lKH1Gj+bvGiIvaJFYYdkrAGBuGsSIW8uokQrOqqoSQJG0cY8wYO5lHF20AAFVV61IhSyLL8/m8oiiWZSWB0SULl+zYKv0KIaRpWhSGYRh+/XT5Y38sS1KX+2wYw7+9mEcIKQIcaJl78cg0dPiZTlyp57PXbm9938GeHnEV5xhhoLbRXGWB87jh+IWRkqvHru29b+smNRSlYEsQeT3fPzQbzqnPAICQozYOgvGrSffMxUv1rq0S9Y77cjhl6evrGxsbe+WVV/gvFg6Hw+FwOJwa4Q7odcFyogkbGxoaGxoA4PXNTaNHRmuce1uCAHSvFp1wxFGfAaAtcoQALvqLryoIAq3OGfEbEYzxW3d3DI1NnrOiALCPhLhCBsKi9BF3MFYxqs+UOt+S2izqDJVRappRmGfERPEsEwCQyOY8et06GrboryZoi8zu7iQipjk/GJhCdhyNeMK+JnRjs5E4MaMosixL1/Xb2/ChKXqz6Q3kk/wBNGApxKIASMJgauLBBgYQPJktCZNlvSz/qjsX4HDo2OnxSE6RaJxp3nyhwnAbmZqgSq8cvWZn12oUedvo+KjsickIu2IcS1XVgpiIMa79IblGVTdJyXBddwlV/jDGmqaVaJ2VEEVx4RUyMa4mPtmyhemKYYzVOPW+lsWCIPiXp85kAvb6HvTECBvM0p41zEyucrPQNC2dKfP64bz09i2urmkY4OiUXYhl307TxVm9gw6OmbRHvWJfCYKQDVhKUXzfX1XlLjnTCSFJ9xu2KML4eAZ8hgDg/m4tDMNFD3SBpGsZhmFZlqZpjuMk/zZNM8kZL1k+DEOMsWmavu8nKeS+70dRhBAqLJxURASAGTf+3lm2NxWwovKqLTLrlsK0D3YIHRq0qujnw3MnY0jhX1/IUwZHZwAA7uhEx9Po6TEA8HY3eB0t6gSdT3FBwN7WI6ZMAwB+68C2sYnJxy8FzipYoXfLvoPN6stcJKlgcORg35bia0J3Z8f/1cGePDF0zq/Y75vxUiYcnBydBL2lzBsITUiN0yPp60yc/NpZJmEY8jsLZzkghA4ePPiNb3zj1ltvxRinUqlkJPXBBx+ssTDA5OTkGgzscTgcDofD4awr+K+fq88KPtU3EuouaaJ5BPhlSwIAjyIA6NdiO0aTAfXZIo6znBs0rsDz4Magt6M1510ajKUlq88AwAIfiJqmYnuFqfTVqSsjBQDaUdBEIg1iFke+73cTIknSDoxfDE102er+8vScNOnGaCbAx7PMiuaTpo+n2ZlslJLEN7ZGhWnyu1I6Rui5SQlD3CHTbiU+bMkxIARwXw961Ua/zAr9KLsXuSdZY7IeFaLQD1+N58QvHccvOQYARCLzirxy/z97bxYlx3XeeX733tgjMmvfUdiqsBIAsXABtZAUJYESSW3UQlmS25ItT6t1psce+8GeY830+ByfeWh55oy7Ry37yJZbrbZaliWZssVNokiJO0hiI0Biq0IVat+XzNgj7r3zEIWsqszIrRagAMbv4KGQGRlxI+LGjYj/993/h4APM5UB7vVI7zvTD7bitpbmao/SrU0QF10ADpGCtvjBErPmqgaZyicUm6apqiqltKqeHFWWq1B9Lt0e27ajFF3XdUtMKVjbKdKc849swj+8ws5ackp0n+33vrpPvG5plSWskEskCHs84IgAACAASURBVNemUg31dQDwQGPDS+f7B7ixCbJvOfle3gMODrm8T0c5qdf3fVGVEVrfvFHDMF6bwTNzWMcMENolZk9ZUX79wom7aqOtulh5ICEiMvQAgFyxwWw2q6pqbNI9Yyz6lhDy8143E8Bnd2qDWdYm+aIoCoJwfCw42+uoBEKOAOBCZnHU2m6wS1Ph8LUQz6gFeROJIrP9w80waOE3Jhc/vzwPl+edXbVOqs6Y5+JDHWJrY93S3OG2luYvNPPBscmXxjxrSXR5i+BMM8lkld6JdopWb6DRa8cTA3dTdZX8cFysOXFl8I6uzUs/xAg9cNvWQ/Pzz/fPTdN8uU0E9sn9HRU2bCmmViojm4ryOYfXzo3s29K+gpUvWxWlgiAkzgkJKwYh9I1vfOP111+/fPkyY2xubiH0l5solpCQkJCQkJCQUEgiQN9gIkfCtVrbne3GvwyswaTd52alRpG9tzYIObw4J/HiiqcsvFu8FHuvDpwJDED6KksA9pNaALhNsGyz6jPFGAtL2uYgznK5zxj4IcG0LJNznptwzhgLggD0GgAoPK3ZAJ4dYYUuHwEDgYfTLq8VUWR6aJpmM4LPb9MmPfyrETTqkS0a3d8o1kjo5XGmKhAAvshrcnrHLjR3wtIBFpPOVETNaF+WJ4I3YH+G5/IB0TNj7Bgfa29trewI3fowxlhc/ENGnDF2/V99HceRJKnyDOtILK5KRswlscZ+yxiLHDmiFNfKV7sagiDoSpHeLNpbD8fHQZDk6yZAF1PNdF3/56HyYxNC6P17t03OzPykR4r18xlxMQP5UJpEfckwjBemcatEN4tr4KNdgpkAA4DFMACcpKm8ceHMHNqqV6c+AwDn3HGcyK98qTofdVdFUfJSqiNTF8/ztqrhK7ZwcsRxQWyupaqqfvecG3IAQFbcMWhR2DsVdP++LJ73YbPBB8xlR/7iHMCc+fBW1NGyp/BXCKHNbc1faIMwpIxRzjkmRBSEt64MHY9LeI+lJ9B+50Dz0MT0yKx5yVO6ZNeKdX+OY0qqvdzXv2Pb1rzP62pqHr29xg+Ci/3Doy6fDkka0+60sGNLxwotm8sqwgjNKbUnB8YOdbasUj72PG+dyocmvEvYvXv3mTNn/uZv/uaHP/yhZVljY2NTU1Nbt25dvTlVQkJCQkJCQsKtSiJA32DWtiZ7fV3dkfHLJ7xUhU7BxUFZiqd81CjxzQq96hbtJ7J063chzvkrlwfHSWq1B/Uam/3pWIuM1bN0tXsFyzRjarulUqk3Aw0AgjJ53LxO4CrhIx7mgMY8cletq6p6LgkaADzPa1HVL3SRH/bSWoE+PSwgYNu0sAGFJhcZoDaw6sA76aRO8GWvZJsl76q3kDcnomVKUw0KZ5Z9gHon5/unzXv2dr0bEtZyHhrFdhZj/KGWeN3k7Ihbr7LSlsqVUK2jpe/7FYq/K9aIy/rJBkEQBIGu65zzYlL1GuJ5nog1ACAiBmDfPW39/qHrJH/HHoooqRwjYPG+Prwmvcxsoam+/u667Guz8aP3mIuecsUHm1MO5U+OCwDQEwo7W5T120HLsg6ltVOZXIAK7VHs8+4yc6cnR9BH2wzLsqoyLyKERLp5rlc7jiOKYuQAk9chEUKeHzzVF4zYKK3yM7MYgN7boVNKVQGyxUMMTlC+SQ9uQb8cAgB4eKfx1yetwh880c/ff5CVkG4FgcAS04+ulrrjc5my241ggF68MPCBfdu3tre8B+DqyPj52MA357EqcK9Qb0xMtDXHTEaRRHH/jq37K2xHSXAYMKG8M4Ytp8/0Dd2+3BhkBTBW6mgnJJRFVdU//MM//IM/+APO+Z/+6Z9+85vf/Pa3v33s2LFKfvtueJ5JSEhISEhISMjj1lcPNzLrUbpk/+4dXbbTPzYx6mJdADvk0yHBwHXMxmgVTqUeQ29ZUqNPHVbiKZmnb/VcD875S5cGJ4UyXplVrbJBISvTyHzflwn1oLgYtygfcJGFhYKJZqQYhyg+wRDu1mmPtWxt9SLbX8evQopeS7XeAgzM7FWb/Mu42qH4hAjvbVn4ilIayTef7zJ+dhXeV++eC9IzoDQwM+NQAMiAAhCjltIlEpJCFv/GwPvYsh6VRv55PwUAE2cGPnH75lv4nc207HNDE6NCOjqDEgu7RG9nZzvnHGO8dMdr4lxQgyC4Sq06cQ3ycFfgTh5peWEYlnDp1XV9xQpm5PVRVlvPJe3atr10dF2PbtNp4AvzzGMYgPkMhufdjprroUEX7osgCDZIAi/qz1MrsEKz0UM7tvScujoVFH0GeGZi2ciwrpeeKIoX5pe15HKgqyhwlngfi4ieHPOPtBme51Vo+ZJKpTjnhS2PwhUAwBjLS67/u3N+NDw+0EKfGBEA4B8v+Z/fJX98O/qHiyuZXSQguHcTMgP45bX89L8/Y31om/zLvpjY8xOvX/zY0Zgk6Fh0XVfRrFOxPXSPrx51XVVRAGBzW/OlgVmKC85+8bN81hGbKBWqLy1YObqfzQqlXDhymHrD2739+7q3rWZzvu8nSdAJqwchhBCKbtNR9dQb3aKEhISEhISEhA1KIkDfSFZTe9C0rNG57BQVAixwhAzP3NlckzIMANA0de/2LXuXL08p/f65qao2ISC+Tw8YpS9k9dgFWol3yz9q/+by8Mxaqs8Aqwg8BEGwW7bPhMXbc00+qEdhYe8SRfFCqDlL9OvmlNBzLRUPAz/azAchfSWvtYDBqEF2lgOiSLy/jYRhaBhGVJ4LYxwwGLJ4qxSOQeqB+tBjMG1Bt844AOVw1cZ5cqaC6JC/aBsqIJ6bbd+B7eFludLcCRf2aIJKx89fObq3q/QhuhlhjL3WMzgupEFcVJZ9LJynwvn++ei/KersToubWpoKf845v3h16JSJgK+NRriy/mmapiRJqVTKdd1CPwpN0yqvIFcIIaTyySKRI4emaZZlRea/Kyv4WRpNAADod8QHOulzg/zxHioT67du01HgrEdkMUIUxcJ9wRg/Px5dQ/HnvysVP0p/5uDm/35isHIf4fVAkiRKKRfkwkhns8Sueott6yTO8Vmx1/Y/1yVLklRW65ckKVe3sJiFi23bhBBJknzfV1X1V1cX+hhG8NQoif74QKcIALqEf3+ffGrEfnMm5nCV6F6NKvx6ZNmuuRR+2eelJZ7x83f5xRH+0TCsvDTZg5u1x69WMYnq/OD44R1bAAAhtEeh5/wqngAZJq/3j7+na7X+yyXorEu9U/HezKVahkdHO9raVrPFpBphwlrx53/+59/4xjeSkEZCQkJCQkJCQglucfVwI7Niz9CsaR7vH38zA8M45YkqIyLHQlatPZGF0YnJYr/CGJd8TY7hSMq3TNN13S1KfFPvaFtjZXaj8XZv/wyJF99XAVpN6XOxMolxK7bzDFsRQoqiOMuzp21R22sEm9VwpxF2NauDkM5bzz0pV8MMAAzCAGDM4f/QE/5jP/ygl/5DT/jDPv6DXvpPffSFMWZK+uEailgIrtmmom2y24mz2wTzoy3B7TXLJnt3it5SpWw+XByF8vI395B5a0l+31uOth5K4o3Fsu0nrkyPC/lHPo8sUd+whGcvjy61jOecv3Ol/0fnhk+YhAEmiJMqr/FYYpNGK8H3/Ww2K8v5My1UVfV9fzVm95V7TEcEQWCapqIoCCHTNNcjMVm51jHPmMqHOwEAGOf/4207qnq39ptTFMMwIsPrwm+FkqdrW21+mbgIhNAXD29qIBXdiSbX0ixqAUEQZFk+5xq/moxRdYdDuVlYaNs+xTo+KwKAE8KPe/2Tk7SE0aqmadFZyMU8okqVkpR/HFKplKZpUayOEHJxemHMPNCIGEcAsLuOpJGXzWaz2axlWW018epSiWFpa038uaFFphY9f+ZK7OexNDXUbxKqiOv0Wosb3dTSpIVFphQU2Z+MZExMz1S+uWqpq0ljWsVzUT9KrTLYQym99e4pCTcEWZYNw1jN011CQkJCQkJCwi1PIkDfMFYmx5ztGzqRRY4c++6NLgVysbcphFAdrk7y1jDXdV3QjKtuTIpQGgWNDRXNlr1J8TzvIi8jC+aRohUZa4wyuVCkq5BK3pYPCtnCYnSEkBm27NVI5OHlofnTc6Qnizs07l6bD4GB35teEDVezSo2w2nwtqbgUI2/2wg2KWGKLL7zG4QfbIAtdSIF/IspEbAQ1dUMw5DzhbJ4nRo80pbr7bzfX7bv9pIEzFG+KPc3IveMl3/8L/ZUoc5sfIIg+NWoHRZOhC9Clii/6JuKQgtvX7z0j+eGT9lSeM34mwCsSZk4xtjq/RYkSdJ1PZVKybLsuu4qG7ay9jjOOiYjB77fINIagQHASVP9QAcPGPIo/I+37bVNgtN1Xdd113VN04y9awRBsKVkmKyEJoIx/syhzS0VOLecmMOp1BpHHGVZfmYcTxYkAucQMADAXsV+aWpxF6wQejMcIVRC63ccZ+kUkCgIETvq5jKjlw6tFzML19R72kiu60qS9K99VYeNUwUxw81p8u8O67HFDAHgVwNhVZLosds2V77wHFuWQX9PZwPicRdI8cvttFVdKKgqEEJbhfhpYenZwcIPOcJnhyZWudHVTERLSIiFUjo7Ozs4ONjb29vT0zM4ODgzM7OuRVwTEhISEhISEm4KEgH6xrCCd54gCF4cmptW6koswzEp8XL4vo5q/ZrRb+aVV+bjpdL7Otc8NXhj8eLATIn38EJ2ETtLtEqWHGHyZVS7slLpQRCoqGjoIoWCO8SsU1B7UJZlWZav0CW6GOfnr87NBgsjQH92UZVggF7ILC7ZCM7VLL/iKZd8fZBqs0hlkmyowtGG4ANNgZJSh6hqcQEAjjUEGPFoc0v7YTabDcPw4VYKAJtEz+fLhh2XYQDAwDvwsnS8mTAmKbLPuZF2AWvOK/3jtEwpyHxcLB1/5/IPzg6fDgy6vJSlDxitxXTyFWdAR3iepygKxti27Ww263ne6nMMV9ye9Utv9H3//nYcciRjBgDn7AUxFAH4FdvyxiKKomEYhmGkUild1y3LKown5VAURdd1Md/nZim8pamxxOYwxp86uKVVLHNLohyt7aFECF22SMhLndkJKndK7itT+Q8qDuVQXFgvdtIdx8nrSNlslhASDcWMMfnaeWuQF9awtPBg4WoNgX/9zvpvPrr/vj1FjSDGC5KMR0xq2fbv7NdI3K4zDu/0xoitxSCEfK57hfdiURCO1uJi+c4GxKjtDOGzPX0r21wltDU1kjCmK2bqOmOXz0qrTYLmnCdJ0AlrBef88ccfP3bs2J133rl3797u7u4dO3bs3r37jjvu+PCHP/zjH//4RjcwISEhISEhIeFGkgjQN4AoM7Sqn3ie98qES0l5dWlmZrbYVw31dR9tIyJUuunn52RexFT0gGI31JWSwm92wjDM4Ng0xqJvqpdpFVPvHSA9VCPVF3TyPK+bzh4RMnUoAAAJWDPyDwqZQ3juiJDZKbiFTruyLEuSlOUiWvKa3eFMOHTx5F7MxrekiduXspgDqhP5x9r5XXU8LXIA4IAIgrNBCgAda/Cjf2MeQgCqqubVfxNF0fd927aO1FKf4XaV39PA9qVZs8xExDmgBpEdMMI67NeihXn+23HGjVPx5m+oX+3aMjM3tzKDlwGhtlg/zKzF8VmloBMZ766tprMxveZ91/3wJgKAOpWQAYqMODI+TGedao1lEUKGYei6HjkXRxm72Wy29LnAGP96WvznIXQ+U1TG3abSsvI9QuhTh7Z1SGXSe6fW1IVDUZQeq+xp5RdmIdbb+md9/rMDrqbFxPwiW+fCzzHGed0SIeT7vmmamqY5jvN7t+tRznW9yKJL7JcDQS7Peuk6EfB/f3fD//mJ27dv3oQQ2rKp/f/+3H6l4OLDCM4tt6wgCP7tIT2la7/s8x7bFe+o9ON3zKoun5p0+pEOUonFFoH8yQ016fR+MX7ijl2k2u2o2rR+WcMIoS4pKOVpUvCD1buCJEnQCWvC/Pz8Y4899qlPfeq5557r7e3N2SXZtt3X1/frX//6s5/97COPPDI5WdQrLyEhISEhISHh1mYjvtXf8lTr/uy67mtTPq9MgiGk1GItzY1fvL3ti3vrP71d+63dtZ/YquDqTWMVCA/vWlX1+Y3P1bEibwjFjxYrItYXY54LXDEim9qqfhgpJtsF94iQ2Umn65wpxzRt244kq7zeFbkBcA4TppPrGRp1nx7NSx5EjZAvQ7Rw66K5oEHc2wSOZaZo9p6U8/F2BgAaYpEwNB8izjnj0CozACBEiGbHu1JK1Y1Blnp2Vn/d1BVFsV1vngt7U1z2s408e7vuPtjKtmp0m+SdNsVLNL1NCQ9rdrs9ccHPTw9XEO3C2QkbzOLZoDcXpydXviPNNN7U2FojAXoFoZGNyfrZBUAUSvTsR7cJUwFBwIPoforgyX7OSLztciyyLKuqapqmZVl5WpjjOFEdxVgIIdkyNxP+0P741NFCPn5w67GWUofr9VmyVg7XoijO0fLOM21isL2I7cecD8MOPj/HC4MTnufFJkcHQRCNt4ZhYIx1XY+KVRJCbNs2DMNxnN+/XWvR8VvTcKSOAsCMy797Ppzlmq7r3zm3KMB/aX96y6aOpSuXZfmbv3Wka7nj86GCoqEcgFJqmuZHNvO0Qh7dFRPmtEIYHK3OWaKtpfmBJiirQXfLMTGEjra2di9Gw2WAG5mD4tZ5anC1xhclaG5qavGLxtELGbNXWE4jxwpyAhIS8mCMPfjgg//0T/8U/fdLX/rST3/609dff/2NN954/PHHv/rVr0afP/HEEx/60IdWUxEhISEhISEhIeHmJRGgrzfVvupwzt+ctCtUnwGgtra27DKiKEberHU1NULFCdERMtDP7mut6ic3I/1OkTf5VXvjLuU81d+CuqxapxrVmU0DgJnNmqZZGMzQlpBKpTjngiBcmg1/1U+Pn5+aHxqry4wf74+RL8VgmTbRyefPm4sizs9GUGQLAJIKgAjiw8GCxHZ8XnxhTnp2RvrFtPSLaal/3gOAYU84PkOeHhd6LQwAJsVPTUjvOIpL0YANWSE1R1J9nvLzUcIQ6bEELXTC8cnAcQMvzASoQVzaLfl2wcq47G1HBYDTA1PVHqsNCKV0vjLDllhkHu8mKaO1kVESAbry9Xue99FNZHrOPTVOASBkEHL44dt25R47oijmnIgLoZQWaqyaphE1NeCXsZK/I+1XlYvdtaXzt2+r7ZSKpjrziv3KS2Nj5fhs+T72oZ3Nn7t7R7dR9CSemGKFSdBBEMSmzEdpxbqum6YpSVIYhr7v27adK1apqqplWZ/epSKA18ZhtxFGLhlPXw3+9u3FwECLwg/s2Fq4foTQH37s8MM7FjX6fjP/fsH4gp8MpdRxnHo1/iD89Ox0sV0uRldn+2e2azoq4TPL7+rqiP1i77bOWPF6FsfPgpoVU+uqoO3YvElz5itcmIXhzNzcKreYJEEnrJK/+7u/O378uCAIf/EXfzE7O/v973//U5/61J133nnHHXd84hOf+M53vmOa5l/+5V9KkvTWW2/91V/9VWL8kpCQkJCQkPAuJBGgrzfVpj+f7hsOhSoK1lWbTlvMZCMWAdijexpvGXGqBLmKfOsNBzTMlLOhvjJL6Dwwxp7n2dcIgsDzPITQ1vTCld6swAuTwtIp7bm/jk9hZ2Yu+ufNzp4x81PzHh9GT4/hZ8bQv4wgxuGqJ3YLC0K2xxZWs5Nk33a0iyY+m8nvJG2iF23tkolPzOLTcziagD/iwJgLTSQ4Nc4MTe7P0HRa2aouqBsdxBUC/x1LziWYX8neCq9tplVRvcpi4CJ+vGm8NqrQ6i0v1vbtesUe0OstQOu6LggCAQoAmQDd277wuR3C996yootaEATDMERRVBRFVdW8JGJFUUpYPAOA68YYTUz45PKsN22XqWp1pHtTlTsEhq4/cnD7p7fH11H89RRe/fhvGKlXZ8qv5O46aug6ADx2d3eJxQbM/FMcqcmxI2pO63dd1/MWdHbLsjRNi36VSqU8z/vcHhUAzs6AgYJacVlPFhD/+v3dxTokQuijR2/7n+5uEDFsrUGzXsxidMlzFwGqx/lwjFgwn8m38i9LXW3tFw51PtiGSUFcGQF/pFNWlPhnCYGQTXGTKihgicYpswidHxyttnlVcWhLq+SVnyMiz4/3g/Hraf7znskrA0Or2WIiCCashieffBIh9N3vfvfP/uzPYhNBdF3/4z/+45/85CcY46effjrpbwkJCQkJCQnvQq6TypYQUW36s2ma82oVVstpewah6lxlK7fgqMf+Q3vaitV9usUI0RrEZt6bpi9ncKyBaR4U0KkwdcgAz/OqDVHkiCaVZ7MLsgUhJAgCURRNyx6xOAC5v5W+OpvvDJA7/QFHI+5iU+viZr571zpvFLfod0RYkl7ZRpy3XR0ArtgxnaRTdEf8GF8CmyIAmJjzOtLotUHnA12pt2ZZrQgAsF/KvpFV8g6gz9YyCf1GMT47DxBzqe7CFge4xMpcxTj+3ZWLLFztdPRo/asWoFdTxnANWb+XfELIUu34dw/o333LfnEUjrby42OIA+giPNvnvq9NEEXRNE2EUO7SFkUxN5ASQgp92/MIggAhFBWHFASBUjrn8163fGByxY4ZzY0N6asDGZovE/sMRW4hK1stABiG8eR4efV5p+Id6l4wesIYf2Gn8oNL8Ucp4/P65eOKYRiWZUUadF5Tc8NjHpZlRQtns1ld1zXX/f2D+ndOW1MuIii8vx29Mk1ChgDgf31fewlTlIgDO7f9x22b/vifzsZ++/PLzke3CGEYAoDjOF8+YHzrRIzS+vPTg1+8d2/pDcWyua3lyy1sPmteHhqfpYJGeKMq7NjSIZSMHHS11A9NxQwefpHKE8PYuG111UpLgxC6s7Px5MC4oxSdHuTPzUwIC0qfj4TTgdB7eeyB7U0ri5FE1VNX2NyEdz1nz55tbW196KGHSi923333dXd3X7hw4aYQoDnn0VyNG92QUuSOZJRvcWMbs3pW/AqwcYjubgDg+/7N7jZDKWWMbfBLoHI2/uVcluh634AXu8+qLGhc1bLrtWLgjK+yS0SVnMMwvNm7Vm7gCoJgI9+go+yZm9047l0hJm4cqp3meWrWh7j0Z8RYrClHV1NNtU26TfNO2mWtAPhBxTq4q6vald+8yJzaaFWJfruJ2dLUuXWuvx9XdFIYoBNhWiTsgGxZVnVFqBbWwJjv+xjjaFSKdCJZlh/vY3M+fqCNvTxThS9tHQlny5m0Ln+u5AMlFbFzTtFuhoD3zbFDbcJzw3Awa23R1P6Mr1H6RjZGPtu494Rq8IIgdv7JDBc7sach6nDMAbUizwE8z/M1IBPHHOoatPBkiRAihORupbcAK37QpJQSQtbjFSgvc1kRFk7n8XH0nlb+8hj6RLckSRJljDMGy6XwIAiil8zc1Voaz/MMw+Ccj3n4tUlQCTgV7NADjat6j31/C3liJObzas3u8yh7KjHwR7crTY3LzCK6tmy6d/biC5MxY7K+5LNIoOeca5oWFXJUVbXCZ+Jcw3Ji9L87bHz7pEU5+tUwANAHO/moK7Q0F/g6xyGKIkGc8pidHbMYIdLSV/TYNZyZgvrj73zkrj0r6PwY47qa9F01VTg7qaqKuMdjIq8IGIOC5w2O8On+kUPb4j091gSE0JEtrVcHBwfF+jzzK8F3RjwEQn4kIIvln/XPvzdNW5oqOk158PWU1BNubQYHBzs6Ourr60svFhWb7e3t3cjvtzkYYxtfscodScdxboHrNwiCm/3h7VYKCURPaBv8EqicjX85lyXqXRvwYq9SgOa8mtfZKqXtKhZefXwlJ0Df7NGm3OuY7/sbORBYNmnppiARoK8rVY0gruvSIuYbseqz7Fs1bc3VNum27ZtPnZssYcRhoPDY1lQ6fev7Pi8lhUIbqpBr89jMzb1bOwHg8I6t7PLAAC5SSKuAAPCJMKUrWhdxfCsb22F0XbdtO/Yrz/NSqVQuy08QhKzHAgZHm9jLM+Jj3aKM+XPDbMgqr3ntVtxXrTKuIBLiObPYDuT0Q6n0MTu+Ph7fp9inTEVtquWi99DW4KcD5P1tQUtKmQgAlj+Ea5juVLyrcWnUNx24SIr9JJcmqbQTWxYiw0yZ4FKs3qfymFvjdsHFRINr905FUaKYxAqat/rIapSxu8qVRCzt0isgShlek5aUwHWdehkkzDFCb00jAfH/es7/ZDe3/WBLQ9GE2QqPs24YJ2fhqrXQEypRn7cq4YHVhQw3tbfByEjhBI4XpvBRQ1jBG7IoiqIo9lllesWnu/XG+ph5P4IoQlzFAoZQLtOZc64oyr/2Bwjgka0L3aZCDdqyLFmWo8wCy7JSqZRpml8/rD/R417NUAB4ZhDVSlV0JENE83EX38FGLIpSzgCkBM8PwwuPn/8PH+0qZp2xttSG1qwYc6vqBGsQYj4fF1KO46xVXcpibOnsbA+Ck+PZQFy4vyiZyQGcLv7Mgl7OCO+Bqdamxmq3lSRBJ6wYSZKifOHS0wQZY4wxSbo5HmMIIaIoVlJa5kbBOZ+fn4/upOl0+qZ2COScz87Oqqp6s49CjuNE99zIfOxGN2dVmKbJGEunq67Ts9GYmZkBAEmS1sTv8QZCKZ2fn9+AF7tHGc7OQaVvTwghVHlKFa5Gba9KmicCWeUIzxjLZDKSJBW6Bd5c2LYdabuapsny9XjqXhlRIzdaAKZaEgH6+lFtOGVoYgrEKvw3bqtfyXsgIeQjHeJTwzFqggL0/S2ko3UdU5w2LHsatPGZFf2S80OKu21TZ+6DO3Zslq4M9vAqbvkWJ2+Feqcq1DPb9/2cSkUIkVRtlgsNBqaULi1cput6NBjlVD/OuShKIzP2rgbx1Bx+oMl/doDvqBM8ynfU4J55Fi3XLLMJb5kYigH2pQOHwkOt9HIWOOc9cZYaAFAn0LGoYcD6CB48uwAAIABJREFUS9ZDaxH8sSD/MbSeBIyxk9fMpi868jaB3tGCJ5ncLUKLzCY9AgAGoR1iMBNijMBkpH195Y7rREdT3aWpomJWzoKjDfuNyD9D89UfwsLGMIsAADiKNEIEgoSz5mJObuQdLMvyCtRb13VXqSCLorgmQdrVr2edHlLzXErCMPzkTmUiG4w5aGSc3tMCV8F4OQP7NLZKIV4UxWfHkEVhv+aetSt6L92ihJ84vG01GwUAjHG9QGfC/GvfpkhRlGpdOBBCV3y1b66MtUuz4DfWx99x5pwwtmrFxTnWXUOigquMw/cuLoi+TsigGkmRMYYQ0nXdsizOeTab1TTNdd0Pb8YnJ9HJ8RAA5nyYnJpuamyoZIWf3Cl971yMAn3PZi333IgQEkQJoOizAeXwF0/3/m/Htunaug98uxqM1zIxnw/iFHAeW4D34tj0wW1V+4xXiyiKd2+qNy3r6mw2YzkDQvmXpVcy5AFpvram6jlhSRJ0wsrYs2fP5cuX+/r6duzYUWKx0dHRiYmJ7u6iPvIbDYTQ6i251o+lt1eM8UZualmiR/0NfsArIde3b5l9udn3Yik3+75El/wGvNjxujoirOftYk2O5C1zscOG35eonTfLI0QxNu7xvfWoNgtvHFXxwlnjZdKpStNs82hpbHhsZ7oVu1EsjgDrJM4HmtFjB9o6WltWts6bnfq6unZeQmHhrTTmTb05zD7cqW/b1J73+b6tHRKvNmEQDTLlHagdkxsMw1BVVTVSQ1L96TDVR9U3g9QQaLnMgkg0Ma8Rfej7viCQrubUwXr8b3aQLQ3GI1vFLbL3wZbwYMr97R3kSztFACCIG4QTxAFAxvxIbSBwdnpWOHbPoX17dn/qrt2HW4tK5zXCwv12h2iVvj02CflCzB7FGvPwRLAgb9UQCgBNGur3lGkPTDcIw3CP5jQKvkURQtzlZDIQQ0EcZqrnrSSrd0OhqxUFioeZfIbGHP8pkpoSUpNCalJITwjpcSE9TlKF6bRRODenwObdrkrcX0VRXI1sSghZWeZ1IZIkrXgmlKZpUXG5NWlJHoXHRxEFm5G7OpTPbOevjqPDmgUAKUxXn05OMADAZa/SgPz9XQ1rstdHm+MjTy9Nk6ryXnUjpev6kFO2SfzYzqKTeCbd+A455fJzM9TyKULo1fHFm+xProSqqkZTyCtsp+u6vu/nkjiCIMAY+75/Z6vQoCw0/qcnBitc294d8RnoT/U6uYxsjPE/vF2mHqnP4D8/33cd7N70EtkrRbrTODGum5OAoeu3bWqdIpWGcp+bpCto21oNXAnvNg4dOjQ3N/dHf/RHYRjGdrxokvKf/MmfjI6O7tu3byO/3yYkJCQkJCQkrBPJA9B1YgVzwOPcGOMRQu/gllVZZKiq+pH9W37nQMtv72v80oHWD+7buqWt+WaPrqySo92dneFs4ectNPtIp/GenVse6dQPyF5nOLuNz7+3hn9ss/G+XZtjZ21gjI9tqdVY+TnXeQSAZ7l4Ikyf5nWnw1RmiRfwJJNCSQMAQRBiFTpRFD3Py2aznufZtp3NZi3LopRGb0e2bYsYfb5bHHOJSZFG4FBN4IXwxrTgMgQAg8MjAMA5/9GVorPXc+4Ql5wYNQoDP6CYXZINAMPBsgmntynWGXNZWuI8JQDQ50o7VFdCrEYVL1jSpE/ShCNAFxw1YNCgk2muUEBPXRqv9AhuVERRqKGlbAE0CAnwGhTEKvtZnJ/UuVXwlloS54i8OKK/dV2PghmRDaWu61oRqs0aVhRFVVVVVTVNS6VSiqJU4jBQliiysrLfCoIQ9fwVr6E0hUO6ZVl7muTzU8GgCQDw8ijHwKe4uprCraqqTjIlEwAAeAztVMsf1RRhdbVVJ37GsrkjP5YWkQkRrqaHZAJ4clwI4gyRl/LZbj1lxNuVhGHoitrd9fFhvBOT9Md99HsX/d7MokpLORBCEEJVTQEOgiDX+SMBWhRFx3E+t0e9owkA4J2ZSv3yCCGpuC1fmaO5SxJjnPXKi6QzHvzr65cr24OVMzM3V+yrYsWKOcK+f12d8lK8YoEYoTd7Ko0W5LgpnHkTNiBf/epXAeDnP//50aNHv/e9780tv5oymcyPfvSje++99wc/+AEAfO1rX3uXP2AnJCQkJCQkvDtJLDiuEytI4ivhy7x8OX5Pe82aPMtGtctWv55bhjt3bT8Uhhev9LuABcZ0Vd62qZ2QBV8USZK6N1Wq+0ui+GB3y+Do2FmbeGhtPNEuUO2IQX3fL0zaMgwjmkhe4ufZbNYwjN/aIb4w5B6qCX82vEwj/tbrU//7g7VBGJZIbZ5lIgAcEOexBJwDR4hxoIzLmJ82ZZNiSyLTXOog9lVX1Il/u+GO+DIGfsqMz+WUEbtoywAwMm+rWJkKpakQAKBBCKmsuNcCZrNMmpyeaWooU+1ng7O7Rjoel2SvUG+35JscG4j10hhlv8ObGhSXmQAggAbwi+msuaJqYRi6rhsJaqtsfGT5kpuuXrazrYzVrFOSpPWrtYIQKlTYOee+7+9pFIfmASb8WRf2NPumj6c8Uq2XGMZY07QxFz03tsz2uNeVVMwcVio2+Zm9a3ZdIIT2q/bZuPKhv54i769VKnRHyYblb0/vqw9jrZ8jegZHGOCe0DjS6J6a4hUWQjw5RW+vq9otZGmuseu6iqIEQWBZ1l2dxpuTFgA8c7Lnk+/dX8l6fu+upv/35cnCr14e9A81YMZYEAS/f8jgHL5zukyY5OURuuvK4O7tnaUXWw3TXtEw+Q6euQjp2Dxo1/NkeY0NbSmlc3PzgkBSqVQuUdS2bdOyZRZfvjWWQWTc7vvV+u2GYbiaoFHCu5M777zze9/73te+9rUTJ0585Stf+cpXvtLW1rZ3716E0IULF4aGhqLFZFn+5je/ee+9997Y1iYkJCQkJCQk3BCSh+zrwcpkFIX5FimjVCLOjjZIiWq8fgiCcNvO7jVZFUJoc3vbZgDXdZ8asvkaxAzQEJU7ZVQoQEdFaWN/oyhK9HYd6WW/HEFugCL1uctgAxZq1/iog3yG/vncyHvbYydlcwnx3apnYlnC+AKvW0iP4wAAmpcd8kUAIMB7PVkUhWbRoy7KUPLifNFqbBFToXB3yn7D1AVZe7AGHh8CAGgQQl/Ob8abo9mP3uQCdLEO4GNxlKFxXlQ0mSTLyqEIwA9JVjZbSsAyTTNXym+VtX0JIaqqRqJervjbeqBp2lKX86qIDLzWL5kxKnaXK7Pjui6lNLJr8DyvQSJfP6x/57R1eiRobNQnp+BD9ZVW7ZMkCYvyy1MwGzP7AhggAbNOwW+QqIrYHBWGPeIy7HMMAAj4Y91qzZpWy7ln7/azJ8YKP3coGgvEeuxXYg3RrvK34syFl8D3dW0u8fWs5QMoANDvK3Vp3sjsi+bCXU/F3GHxl9LbM+xIk1RtLw3DMBdc4ZznXMht297TIJ6fDp4fCA5tHd3S0VZ2VW3NjRKe9AuO0OmJ4I42VRdJGIa+5yiq+rku/otBmPNL3RS+ezr75+2uum71qVzKi2m7F1HRnHo3CNYm3x4AABzHeXbIDLAAgAAYTM1LLNgleW8HGkMYgIBQZGuxLtUIvXR18gPd7VVF6BMBOmFlfPGLX9yyZctXvvKVvr4+ABgdHR0dHV26QGdn53e/+93777//xrQvISEhISEhIeFGkzxkXw9Wpvi0kbCn5AJC6N/TvuHqwCaURVGUY+3sxeGsjVedOOa7LiF59eKielyxi2OMCSE5OUYUxfubglcn8XxAJMx5Tc0BaS5Ujf115jMj2ALxzdGsiCDgGABqSNgqhRJBg9zggK6CEjstO0sXNIx7apxzjhYCqLgiHRADDzh5w9QBeE+GqYgDCGlCAzkmC3iMKjd7taiQslgTJIZwCfUZANjyvQ4BveEbhzVaWq5dvRory3Lk95LrP0EQCEKl0ur1JDZDeW0hZKHwnW3boigSQqIOGf1tmuZXDxrfPmlprpmRjQqr9gmCcM6SB0qq7iYlJiVDy28pTWK4XQ2O7tu55lcE5xxDfMbxWxnyYLPuWBWUuGQUoNR9qlvxS7d80F16paAprL+vyXp1ElNAxdRnAOAAjudj4KqqlkiHV1U1KmgTXSNR50mlUlFQIee1whi7d7N0fjoAgP/nhdH/5T1h15ZS+ciKojDGHt2j//DtmODQ355xPtYtdxiIUjrvstcmyRf2Ka8P2W9OlFgl/Icnr/zFI93VpvRWiIyLHkmFUxfFn0HLXTPTZNtxnh5xAC97LvWxeDYUy6e8F+k/c1h74fLwvTs6qro0GGOJRW9CtRBC7rvvvnPnzj311FNPPvnkzMxMJpPhnKfT6fr6+mPHjj388MOplRZrSUhISEhISEi4BUgE6OvBysoHbepoHxyY8sTYWk+8Ocju3tSSvCPdpOia9pEd2sTk1Otz3McrvAwbgswITo34aI+GNeZF5bZkWc5msxhjwzAidSxSVURRlGWZUrrUEtcG6WdXUdQ7a0ReB/6JGbIzbf08Q+5qpFMAM1zRNGhBzgRXOEhjAEW8QBexrvkDvG6lmoRgHkBHIUB5E4KDhisjdnKajHt4Z5vw8hibtezatjQtoj2EYViVu+tGI6WIYK9EFI5VAwkhGONcFfVCuXmVArSiKGEYRh7iuQ89z9N1vbQAjTFGCK3ABH81oTVZlte7mBjn3DTN6FAvFbujoxFl3X5hr/aDd5zfu51RXmZfDMNACE17vLT6XIypUJjJCkdX8tMy/LdTo6y45UGvCe0VyHq+7+tEtGj8ojqmH9q/rfQaCv2jz3v6ptoQ+Z4VwqRf9PA+N8Ie3qY4jlMsoT7qnEvlaUEQohKL0fKGsVj1LvDcdgOPmAwA/tMrk18L6J7urSWajTE+vGvrT8+/XZgEjQFeGvQ+t1sGgJTIP75TC4Lg7k797k7omfZ2NCrfPmHSuEv2/3q65/94ZPd63PrrJDxY5KIxIHCLhBDcYM3iTy8PzUGBu/3qmSb6ry+P3L+jijzoIAhiyzkkJJRF07RPf/rTjz76KFy77d4aNesTEhISEhISElZPIl+uO6tJDzza2ZCyZ5Z9xHmNM3u0Tti7uS1RnzcIlNLRsfGh0bHRsbGqgg3NTY0PdzdupvMr2GhtaE1iI0r7Oh+oJ2jtKV4fimqUtccYsywrys2EaxqKaZpLdRZRFJ8dCK41l29rUjwg+zo0NaXt69BMeXEi/zhXK3QkR8BDjgBgn+5ygGYxBIDhoPybfLfsvjIjPT+tZEHYV890TCds9mArpcXHKMZu7mpRmhobWypPPbUbqdkYmo2h2RCajdRspOagw6NKgFGlQcMwRFFcOkSs5u1XkqQo07lwNGOMaVqsTwsYhhH5vUThkKoEZXWlByeCELICybsqoiu9mKxvmqZhGCJ1vn5Yn3XY8xO82O6LomgYxhOj6J+H4IXJlZ8jBnD+cu+Kfx7L+d5+j5e6y/TYZKk+WwzO+dH6+IFxk+T/9pHOsp1TjPveZEKDIW1KC3c08vYaqb1GuqMx/3RM+ZjzZRUjCSFLtUVVVfNiFWEYOo4T+dUAgG3buYxjSum+psWg11+/MfPTF8+WDu0oivxnH9le2HwG8Nht+oVZnkqlXhkOKeOCICCEfN/fVi8DQL0af+TtEH706roUJKwpUgESAFQo+hhTp6/qUs0RhrSwtupaMUu0Ez0DlS9fwsMqIaESEEKRE1QUgk3U54SEhISEhIQESDKgrwOrEaARQke6OqPEwyAMRVGUJQmg/At/wvVhfn5+LMRIUsBYKAqXsSgyp3a0NlX4voEQumPn1sOM9Q+PnfYrfZPXqTOD1AITYX5qnoRIrBPUg6kgUqKjlx+I84GRZTkbLCgvB2oZBWSvekBQYUHoGQ9lAGAIZETHQgmgjC7fLFPIigDAAGWY1C6gww3uBVS/Tw/6XWLSGC1GEG5u8xlFlnU2a+Hq8uw2sWwP15floXMAgPfqduRywDm3LEtRlMgBIJfwnitFWNXmNE2LrAmK/dBxnEhczhN880wngiDQdd2yLFmWJUmKNL6lm4h6adTgXAnNFXtMr/fbfiQUll7Gsixd123blgWlnuRffYZhmCEatGFoDqyCW4SBqUZ4lhKXVVyNFuC5KXHvzgqXrYhXZspfYpXIdJRSBbFYF44WuSIjHYLiB5DbavHxGWHKRwAcAPX56t315vGZZePYf7vk/5udumVZhBDG2Duz+OSw+7uHtagHlo2LMMZyCfWc8601AsBiwvtvhoJTPzn1Jx/dZehF1du62tp/f0/jf3p1Ku/z75+1vnxA933/QItEMHpr3N/XLEqSFATBpBNO2kXHzJPj9P6JydbmptItL0vf1YErVAkRIZxtQvb2jjbCPFowIwcBl4sP4CltbVTj0ckpgHWxFokYwOkdmUzlDuk3u8VTQkJCQkJCQkJCwkYjSaFdX9YkiUYQBFmWDV2X18f5MWEFcM4v9Q+MEx3J6lL3SYQQpOovzZhVnXqM8fbO9k9uqzGYW1bREViQQUphCbt2b9YDQjmaCvCzM/Lz81rGCwFAFMVYFY8t2VCdIc3yNZhxLAADgDShc1QA4L2BkUZhAJiUc+6wKFE41TAHgHqJ92fZmYzEAV1yBCtOfUZQNKX0JuJAuroRWGDhtvqUIoAigCKCGv0TuCJwAMhms9ls1jRNxpht29lsdqndSs6tuKotYoxN01y6nkIYY4VKTWEVr0hZ9n0/m816nmcYhq7rmqZ5nmeaZtR4y7Ki7hpdPkEQVJJgW7jp9SuNGCGKYtkM6+iAS5KkoeBIk5TL6UYIGYbx5Ch6dhwuZmPUZxVRn+OpUPQ4vsNwK29VMbOaleH7vl8y/TniqQmhkk5VNFW8svhsFNAqBCEULMyEWNj3ntCoFfLU0oVZ8LIsc873NEqbU4ujh+/7ZecSLW186LubUstGnkwAnlcmGtG9bXN9wR5YAfzNKQsAVBS8NmC9M+n9lxMWAIii2FSjNaqlzuY/nppc8dMF53xoZOSJ/tm3ocYhcoAFl0g9uPYXo07KnS+8AXFAPaiobrtW47Drr6o4aiW8MF7F1bTeHj4JCQkJCQkJCQkJ7zYSAXp9WZn7c8IGh3N+aWwKGtuLLYBk9fLwWLWrxRgf29H2ye21+1BG4suEGcSZwgIAkHjoxfnJ1lHrQrBMquvA1k+u8JDF564KgpC99r7fZTAd5b/8I+AyUBloedfna8iIA0IY+FYleKSNSYhj4CkcAIBSrg7hGUvJBHzWZUfS3oFaPnBN8PQZiv1lqqDBNyOtzc1pVqkmQjh9cHMNAGcIM4QZYBr9Q4QhAgC6rmOMNU3TrxF5cUTSZzQdeOmEjFzecQkqmcBh27YgCJGgHH0iy3JszbecsswYi3Rt27bzlNylqfq+70cZ1mXbsBRKqaZp61SoDQA0TSuU12NhjIVhGC1MKSWqIWmps67+s2FUYArMO0T/kO5sk30PhPDarfm0pUpLkn+PtcInO/gnO/jttUWtP1ayS3FMTs+UXwgAACpxyy3W0+aCVYnmVgibCwxg8g7NQy0+AGiaxjknhFCACzPAOJc1Q9H0MAyLecjkWNpFBUHYWb+SmSKf2BWzlQaZh0j0fR8L4uf3pbrrhL8+aUXtf2yv9ru36//2YHx+8bAFs/OZatsQUvpiz/ATA5nTgc5RzOPflFJfb+dnapdGrOxaKAul617LNMDi3FwVhleJC0dCQkJCQkJCQkLCGpII0OtLoe9Bwi3A5ZFxlKors1Bt08rOPsZ45/Ytj3Q3PbxJe2+aHtX9DzaST3U3PLSjuZGaAQMolHI4H3XyrmV+doICwPfO+3qcficIwgvDYZvKAKAzjSe4oluzg6OZgZHM1ZFMLfLbkD3tsGmHtaIYJbGQ96S8I0r2cJrWCGyWCl4QHNLtDzeFqoAfaoktppVPswIAoCrK9y+zOpEeSAVNULQi2w7jFhm77t/WLLHy/SRNnUe21UuSVCSmxbN0wW7Stm3rGnDN+FtVVVmWFUUhhBBCVFUlhEQKdYmNyrJcoYOQ67qmaWKMdV1XFAVjvCYWzJzz4rtc6leR38LqG4AxTqVSeXIzQii2nF0xIrWdCMKF4eyTozDmLsZUNMxuU90mgWKER0P5jK1d9ZeJuRTQDtUXEesQfQB4fpxNeWjIRmfm4nVb26kix7NMsys+g6/MkLKKvMviL9i0sCqNb8aHBuQAQIu4mK+at0ZKpMiD1XEcRVEMEQDgP7+a/S+vZb71WnbYFko7tAqCsLQvhWE4WZi1XgG37dye98nvHdQf3a39/VuWYRgzTggA3fUCAGCEAODUiEOY7zrO1w7Hm3v86+nhqhrAGHtuYGZeLBPOmVAbK9egMaPRqZ+dnz/RO/ja5YE3ewdnZueibysXcDnn7/CaCheuBFRk069OupW3ar195BMSEhISEhISEhLeVSQe0AkJ1TE6MQk1jZUsOTU717YKm05ZllualqlR92xr/de+mASuWuYMLL+WN2N7IFyQVE5P0h0F5tKCIEw6fhSCemuaW4HnsQWRZZvBZKB14EeOnCIv/xK+Ww2Y72CMfY46NGjWBFngr8yRbSHFWJyaRxLmIWd3pZyTpqpiNh0KAKBjZrPF1OiDdeyZURJpOwaix6cIQHi0cXZcitH6d7ZXdAo2PoSQh7qaXuoZmiLxwhDi7IASbO9YSLcvFE8M5hBB6MPpXf6koigIIUpppJDmZLVcPrIkSZIkmaYpCEI2mxVFESEUq8gYhuF5XlUW9pGDc7SJyn9VGsdxNE1TFMV1q5NWVy9A67oemZksPT6qqpY2JMlDVdVsNisIwowVvtHvHNsvnrZVAGgQwjqBXfHk825R5/ePtzMG6NlxRUJsOJAAIOD4pZLaIFu7nE23YvFtLkBYViHMllhmzItXeBW0Ko2vRQEJqzAP48Fil6uRILOk26rc930kSVJ0aeQZhvzisrMlDYZh5KoO5ojmEwRBsDSvnFKaViSA5c2uwCxYkiSCYGksbtoKO9IC5/CtE9Zv7+RzTjg4H1IOps+8IDzcofVNO501KrD4Q/T2DHieV0n6eUTvyLiPy+R6R0woDY329JzWUHbJVGiHYerlq1NZQQVhwaZjLANofpYwGhIRONeZt1lmXR1tJdZzsucq4LUUoAstqiIcLJ24MnxH16ZKVpKbvpCQkJCQkJCQkJCQsHpukSzCjclqyg8mbEw45xml0vfkjOOVX6gaRFE81qEWapC+l59Ce2p8UbM4NUkLE10jHUQn/Ng2YcZDHlt8XXcltdcWjtsLP6GslKSlYH5fjZsKMoqiXPWkp4ZYj4lcChjj+1tRi4Kn7HDGCuZC4nP8Uka3GY7UZwCw2DJjjuNZBQBeGwv319BL2QX18LUp4szMqbDsUtoquYqyBo7VGwSE0Pt3dH64RdpCMy00W0PtFprtDOf2S94DTcInttdv72jNLVxXs8yMdVM4G0i6SxQAyAY8EsIil2FVVQsTdX3fj9S0aHSilOa8ifMIgqDyFH5RFCMtO9rEGhbvikTDsi69hVBKV6lBR4UQYXkiZ7Xr9DxPkiRVVetU3Nrd+pajdSt+g0BnqXDFK9qH96XZI+3csqzAc32KtsiV2tHW166dilfkJOooxMDV5cLxryaIXrwKH0LxRjoAIJCKziyOMwJCwMcsWpgM3q4sS5l/elyKROeoi/ZML+vVAYM3Rul0ximMmmia5rqu5y0bxgkhVpDfGFWuKOLy6e5lO5v12WtDHgAYInz/Enr+qvf+TcL/fIdBEPzkovfkZXNbgyoIgud5R1rjXbafOXmlku0yxjjnPUV8tGOZUurrnOmiX3Ne687VO9OIs+cG57JC/hjCEQ6JCACAkEWU86H2VN/M1aHh2bm52OeiIZQq3ha+2YuJumzzxqM/MKeoYp8oABgAfWB0vPLlExISEhISEhISEhLWhCS5Yx1JBOhbjyv9V1FTRclTAABSvH3najB0/VPb5cf75vm1oluYszG27P3/gDj3c7pMJvv7d/yv7DWCIIjEFIzxDy/6728OrbpW5i9LqVYJp8vjUkFBIbJGkWZC/J60RynlnFumaxgGY+zsHL69Dm03kOe62WwoABgAH2hL/XSwqDrQqcNePXxmQkDAOaAaQ0xR78wc+b290g8u+g4FABhz8cSI9YEOfIWnAIAAv29XZ5WH7SbA0PXDO4pKeDkkSRI4DRHBnNWiYFJdzAQXRQE4DxAWEMqJp6VhjMVqu4SQssOXruuUUtd1I/XZcZycYL1W3veapkVVEIup5CWIzKNX6YlMCPE8b6mjSLXaOiHEdd0wDCVJ+kAzfn4CFerOBmHva0IBA11YKL3oeZ5tAgBgjBnABVftlLxBv7zKuYa553IRZbiGhMBJjYiWun1wgJPzZK9MYl0LOOedGr+wJMPYIFRh/qgnHJ8hd3Ne9qhuV/weN/+4cUBnTaGehADL9Flt+XONy+CVYScTCg+0gSAI49n8VPpZK/jRCP3a0VpBEJbGbGKvDizKb00si+tIGCrsn+1N9XB5QUttVGBPk/ztE6aI4XAjf2kMjZgcIZTNZnVdFzD6aLfOOPc9T9O0e3R0YiwmGvTSKP948c1Nz8y+MRu4SASEEOcy4lVVqZyU69vsyUltYRKPFthpbz4jGqagMUBTUnWhDorJWWrAPMCciYHdlYbG+vrctyXHCzQcNwmmT24BAMJpqz+HJGUc5AAtnniJBQEisT7XAPCmJXZUFqAKgqDawq0JCQkJCQkJCQkJCbEkGdAJCVVAGzuqWLr6tM1KEAThMzsa9qJ5wilw3hnk1QrjTw4ubvdgPb1jV8Ph3Y2MMd/3dV3XNE0Uxc/vVqz6NkCIMNplsIfbg+Z6tbleTdXkz9Geo8v2YrsS7BSs96S9yFzYdV1d16Nqco92QguYlmku1S5d12mQFpXQSAB5fzNoBBDAHfUw7Aki5u0aqpNgswayJPzOHukjkWOyAAAgAElEQVQnvYGzRMhigH41zEfG5h9ooL+1t2EF+bC3EtuIuymYFSXREpedrKti3TvMOM9SAKhyxTYvUziSAhVFyVMSdV2XZVkURUEQRFGMnCgijwJZlvN8KlzXXf3UdYRQ5J4M1cu+qVRK1/VVJmLLsuz7fuRDnVtttXXJotqPqqq6riszr1le+DkC+Fg7+0Azv7eJv78+8O0sd7OmaXqetzTlNgxDQwAAGA7kQ3oZN/YOqdJE6UpoqItXGCdCyaYw4mIAEJdkNo97uESvyy1JgO+Ts5M2H3TFkCPK0dOne8o2prlI8u7+NOc4v6exfJ0V7anFH9myECbx6LLh6GNd6OIUtQMIKJ+wFhTnyPsbltdXRAhhRf/bM3benJCumlIW0kvJWovKtUNR1ADG4cw03NvGOQDGBCGEEP6d/aoTwhOXHUmWTZ9/681shx7f8U69fT72857B4RfnkYulKJOdI2T4VQdjRpVG4ruM0pDxDFGHtNaMaDCEK7EcKQpCDJHXsuQ3PSNL5liUWiFFRZViisiw3DCE9KXqMwD4WCymPkdtONc3VEljExvohISEhISEhISEhLUiyYBeL5L3llsPznlVL97cMQHqyy+3Im7r3nYbAGPsnT4T+TyX29bJMgOAAaBG5Ec61TkpxQCiulxRcbZoMeNaVtek2tDVMv/GbNE3/FkqGsAjgaCGsFbk+L7v+wtSV+SQwDnHGMdqc4yx+1sxvwYAPDuOX5wAADAEjhHemeabJU9VVZfyMTPc2iiFYTjnLVtVrcg/tl2e9dmz4/BYnf8uT0nDiE9qsRbYKB1Yrpq6hOt2hrMVrs3zvEhWjvxkI5EuVlBbKoxGylGUnhzrQrv6IMFSC5Gq1ibLcuTnizFeah4dacEY4wqtRaL0ZwCIIjeu69q2Xe3AvtSM2/f9I2mU5VLIoVGklmkjAAFgqcVDdCnlUsgxxh9s4T8bRgBwxtYO69ZJq6iN7yP713JmgK7rGGYLxFwIAYvAAkAAEPBl3w46uFht1miPWgXvqoXf8Jbp1OdNadfA0PbNpWaWbG1remU+U/h5gRkGAIBQYPgRhoFlhYZhEEJ6phd1/L2N6PFLCyf0716ff2i3rqUWDm/OEloQhEhYPzcZ/OaiDQDdad6TWdzx+3eW90qOmLcWk687DQjD8GtHjL8+Yc776IWRqM18jikGAt/3RUl5b6fyj29bn9klH2gWBzMsNlH4R5f4odvyP5ybz5wL86dTTEk1NaFjFdhllMYT1svsKCvqz4zYm2lmT2dr+aXXmn6uH6gg9T4hISEhISEhISEhYa14VycSriuV26cm3CzMz8cUAAQAXqRIVEMqvqzcGoIx3te15SsHWz/ShpuJl0LBKxNYxvyDnairq3lOWjDWxAC+70c5fRGu69ZAAAAGdc7MlhkHcu/oh1NBTnqOiIRLAFA1rdCsAwAYY9ls1jTNKEvatu0PtbCH2uFDLfyBJhp9FYYhY+yNaWhQMOd8SUIu36aze1toR4P6/Kx02lIooJ9cnH2XR3da0nFOHZy3ejO2XsewAAATSMnz5CWECIJQKLgwxgghnPPIKNxxnCijOc83PPaYm6apKAohJC8kEOUOr2TflhCJzlFniBLtK/xhrjF5FgrRGkoUbTMMI7fXhmHk5O/IaUSW5RWr6mEYRjvieZ7kZ7UgW2jPnWPpOVIU5V+GF/972tY2FUlzvrsuVCquR1chOo63RlCufb5JWGZncTaDY0+TYaT6LNQl2n0WLlS0AeBnV8PSHSZdZCw9n8UzQf4Kzzk6LDcFfnVGjFLyEUJ2AHXXvJF6ZhcXowD/8o51cSa8OufBNTOTyL/bC9lfnzR/M7AQKejLLttifaqiyn4A8OOexeP5we0aIeT/e9MMOcC1rO1vnbAev+TOu1QQBJEgHYef26OKovi+TuW+LdLmdEyYkHLwlh86zvmbU/G9Sw6LVvIkLIypcLr+DJD0MyN2CytVwbIEAg9RbLM5R5yJPIyWKfyeYlLhGJV4qSVUwpe//OWvf/3r09PFndMTEhISEhISEt71JAL0LYVpmpPT05NT09XOE0+ohKUTqJeCcHz6sK5VbVy7MhBCHa3NHzuw5cNb0/d1wG07mmb1ZRmyDEBUVEoXqxGGYbiNOBILrswEZZ1BoxJPCHhhv5JlmXOuadrjg/CbCV6Jq6Zt26FjYt/KpaYCgGVZ72uClCwEjL82HtzRxLvrcF1KCkTpCq+ZZ4tzNTxOfvlORbOnb1WaGhoKpaI6Zi896XNE7RXqc6c7lUpJksT/f/beNDiS47r3PZlZe1UDaACDZYDBDDD7RlIkRyRNUiIpUqIpidZC7bq2/CRfvZAsOxy24vmDFzmebTlkieErh997vte7fS3LtsSrK0oURXGRuJMiZ4azcWYwAAYz2Pfu2qsy830ooNHorupuAI3ZWL+YYIDd1dVZXVlZWf9z8n84j9UHCSFRcULP8yiltm0zxhzH0XVd13VVVVVVTbLUYIzZtq0oy3bnCNXqSFABhJDneZG0HUmBxb2lAiW+z7ZtR4cceTFTSk3TLK/JCQCqqjqOE70b5TsXvxsZlaw5rOi6bvFPVAFelpW58kyjqVAs14X36sEte3rX1rYKXN8YH+nJL12PF8PSg6JxkwqLwrDJepukZjm+Y3BAT50aqdASjPF1eq01XUNAd7SEAuJ7M2GfFsqE5wIkCALnPAzDdoP8Qo9MEACAR+Fg22KTWhTEAJ4e8l4dDZ8ZtKIwRhSueGUsKPLtALrylDz89LBfQ8e4ODpW+PumDhEh9P+8ZhVvICIAgK4MliGIQh2SJAZB8M/HrNfH/Q4NPbgr/oZyrH/FeEgZM3F8Z5uUmuLlWgCGsMwCALgsMvSs3NRGYxxCtnmTlT8YIoHHjTa9/iRHOPLlCFH82PXC+ala2vYWj3em1Mg///M/P/bYY42N9SsDm5KSkpKSkpJyzZEK0NcCnPNTQxeeG8sftvCbofomVZ+bsI+eH61XKbCUCIxX47/hu2ptklMdyTY15o2WOJ8QdIw1jIE2xaWCBIkA9gmORFZs/M5Wen+r9/5O9kBbWFjJHg0TB/WgpEdhjKMkMtd1DzYB47CeyIdpmqZp+o59a7t4zpVnQgEAbddj+vCwL03PzJa//tahI1y2I5CopyNqy5mSbRhCUTq5pmmRYTel1LKsWKPecsk42ti2bcdxHMcpF0YBQJKkcjsUTdMKTi9rJqpwGKUw+74fhmEtMlDkTF3yYtRsQRAKezBNM5PJCIIgCIJhGLIsG4YR/T7Ru5Zl1T3t0bKsWpK4k8pCFgg41ggr6NIY+INbpfuu69sIM4Gu1qbVfuSii0piFYSQowu4WaAAcE8H0hN8v07mUOUYw007VuG/P8aUqSn3hcHgteFgfMJ15t0XzzuRAL2zVejIkM6lbOLhHJIIAMCYybMNAkIw6cKpOR51hsiI48xMpc7gUPjvPzletUlDE/OFv2/tkt6Y9IvHSgSgiRwARvJMlmVKacjgyUHnsfNsweNHJwPOeRDGXwI/Gljxu03PVrLf0ekKJ/H9sLBo0ISwRyQAWJe/8zqYlxs2sVINekhuW8Uuiu4+UYnCTn+200/8NeaI7jhVfNUB1nVTS3nrkM1mEUK1xOBTUlJSUlJSUt6ypAL0hnAp/TdyudxzE/a02sKL83ARyilNL43Mp89OdURbjaDcSOONdDcaIc4nNGIK5BGuHuWNUQYopTQI/Lta2RYpAIADDex9HQy5ZpQMa9vWfa1Bi8R3yG4IuBEznTolvgGapkXZqYyxHRl4TyesM+YR+UQjhLIiA4CsEJ4L4pe3v3wx97eHx6J/f3d47NnjA45TU4bstcFN2xfdfpv8HJKUkMSbYp8VW1RVjSrpRa9wzstzmSPbjdg9FD4Yu1zd9/2ok3ueF8mmoijWpdszxhhjUWeo+kgfKciGYRQfaYQgCJHGFCWAF17P5/NhGIZhGOV9FydNV2jSmg5lmXJjk3I0TSv+qWfisn5nQvE6zQWAe5udX7+tp7erY4OGmuZskqVzIidzuDjXW5ZlVVUPNdF9TUjCkM/n79+c9FH0kxOVVjaoitIlxd9Y39tRqszO0xVXhB3CG5Ms6gDXtxFNxCMLS9GIAK5vJwCwf7OQDxDlHAA4IEEQMMYg6X/1munSKrfRs/P8mVeOVt7mqcFFrfOLN+kIoecurPTNAL7gL57Ev3rNEkWRMra3VRrJs1+/2WiUECHEdez7+2LuQTkfnCLt/sJcJTsLw18RoTkBjZULAMawYZOKBamhhVdXhIvJhEu3JM53eWMl8vq4mF0glQxSfnoh3larhHQelVKVffv2BUGw/uBrSkpKSkpKSso1TCpAbwiXbM3m4IWRo46QlLJEJeXowIVL05K3Atma5RhOw/bW2DJxG44S53e5EhTJK5HLgeM412XRe9vDNrBMM6/r+quWHkhGpNzd0hRSQb5O9w+qdnlYxTRN13UjfTDKX15/+yVJipQ+BYMvxi85l4GOMwUARf84oDOB9q9vzr98/M2xqem3gliAELqjEbppzlEbky5/MXS9kPGy4ahcSiaEVB2ygiDQtBgpJ/q1gyCINFBZltffDQRBKCQgW5Yly3KSAQgAGIYRKcimaZYfRRiGmqZlMpn1BwXXL0Bzzk3TjNqTlOZc3HsVRXluOv7knnGV37hty/49uzc6ynVnw6r1lGkPFY5OFKUfTghPTJGXlg7ENM33JpQbPGOLlZOg92+KHxBemKpyyWMEjC+ewaiY5IF2qfDu6xP8Q3tI/0LUwuXfU9O0fzpuA8ADfdXNtR85Rysvy7BCAID37ZA5599902ZLTb5pEy/5XgD4q9esZ4fdSKT+3mn7l3ZK0WW1PRsfjHljcLzw94hQKW/9orK+G1NtlXhbnYITLhdYiHit105e1DMojHVtjt9eWBqUEDqjbFbYig9yhGwiA0CnP0d4zBBnE/nccHVDp9SFI6Uqt91228TExGuvvXa5G5KSkpKSkpKScuWSCtBXMTOzsxfFKkuk80brW0GPu2Rwq4ZaSZxnffOypD8DQBtUd0oNAKmqyjkXRTFyWrAsizGmadpZi1gUN4lcVVVd18MwPNDAm3CYJAyFYVijuW0tYIwlSQrD8Pbm8Bc3851x/hsA0CHEH+MAbXh8lP7HsdHx6WvfoKOpqfGGvi1bYot3cdZoTpkgAQBGqETrlCQpk8kYhlFQdUVRrOUkrrkE32oRBKFYJS/xmF4t+XyeMRaVylwboigahlGvtdW2befz+YL7R/FbmqYVLzJACYntAHBrax2Mtmth/+6dSW81i/GX5yvzhCh6ZAU+6wMA7JWsyWA5hCByqib8lqcuVrLl3dzcEPv6HBV26uygskIrv65t+fdhHCgHQkjhJN6zXREwqEuN+t5ZvqtxxY3y7Iz3/76+uMMfDtTUef7vHw8FQaJyGt2HtzWJ//mmO2ou/3SvTcWcR12Eu7fKH9olGiJ673ap4BRBKY29CH86aAMA5/zowIWqArEaLu5NCVeXbgxQq0HHtNoS/SGykCPE0SqGDo9IgiB0h3MKW3Uh01kh3uVmTMqSBBH8qK851fzlUzezlKr8zu/8zoEDBz7zmc88+eSTaYdJSUlJSUlJSYklFaDrz6WZegZheMqXanka7B8c2vjmvFXYrCdKQgWEhcm2TZch/Zlz/nz/yDlcvQbOSZY5Q7VRj/gMsLLoCaAoyuOT4hkTiRh+PocAIPLerWpKW0chjDEWWSJEGbWdYN6ejUlcxXHf2Io9DwgA2Fz40Ujw3TcuBvW28b0C2dPTlfVXaNANziwNwkllUQAaD0mJchqGYVRtr1jVjbxuK4Axjk0DLDn76+8MiqKURzscxykxm468HXRdryXh2rKsSEReW5OitO66JPgXKFR9jI5CURRFUYp/PVmWn01IfwaAvVs769iYCiCEbtCdraKzXbK7RU9Cy3c3yhOb9+QUyRHDE42X5ggAnLZEVNQ3HMf5hU3xHzw8VSlRXdM0BSXcXhFsaVwRpehtKm0exljTtGg0M03zowcNp2iEODXJMkVd7Inz4Roit3/142NJb3HgAOCHbNKuMkN4YLvymet0x3Fc1/2V67Rin2LHce7aFpOOPe2CaVlPnxsfRKVe8AUawkU9PRssXuyuEJNR3hDUEGRdAnMGALHJxREBFikqjTZUTYhmCE8qLUySW7jdGuTkIiW6Jax0GXKEgfPWIMZYQ+MJcjZCr1yYiX+r0J5UT0yphmEYjzzyCCHk3nvvPXjw4L//+78PDQ3Nzc0tJJCmhqSkpKSk1J/VPIeh1ZqwpaTUg1SArj+X5lnl5OhUjVlF81wcujiy0e15i5AxDDQ7XmEDNjPe172KYll15JWBkWlSvcpZhBg4RxbwTxe0WY/pum4Yhuu697RRAPAYjHvYChilVFGUSKyssKu6L08u1M2jlAqB06uW7n+KSuWfUvGK6y7Hxf84MflWWDp9c+/mTm8OAHQ3hzxnSmwK8XK26RySRUkuzrQtNrhACMmyXMuTsKIoJQ7gJdQrDhHrthF1RQCItFrDMIIgcByndsNN3/cdx4ksy1cLpdQwjA1KAI+OwnVdQRCKD0cUxVyCGLtV9qWy2o8bR6MqD3rKWVcd9iSXIpHTJuTvkOxOYm8V3b2ytU10GlHQJawIGxxeIJH6DAAWI3zlnTFD4jN550MSVrxmb9sU383Omuj5mRW7LBc5Z6zwyIV8oRTkJn3F9oyDSKm0vpOsS4lXwc5GaJH56dnFSy+pGCNG0JMBAFBVNZPJlE8ndjfHf/LwhakcibcoieiSFi/zi1JLhc1yYqKEXYzAQgBgCANAucRcjFqWZx1NXRBUHXZQXjRyahOXFIkgFXMDhXmlYRMzK0nYCEXtKUmgnk++Oc5gteoKiVQuTKnMV77ylW3btp07dw4ATp48+bGPfay3t7e5ubkpgbfC5CQlJSUl5RKDOBKg1n8kFaBTLgepAF1/wo3Pu3RdNyfFL0YuoWF+xNGbh4Xs0aFUg64PO7Z04Zmx2Le03NSerQn+phvM+dGJcbyKBM/hBQoAArAtBnl6CgOAoighW37G/tkM0TTNdd2qAZW6l30XRbGgxIVhuENdocO1Ys+BGAlmjJWKLz6Qfzk+dQmux8vOgb6eO5qFWcFwSWl2ZICFPAiF9GHDMIqTnTVNI4TUIuMmneVId+acR/rsOh+qCSGxZs0IocgixrKsyPF5DXE+SunaBOgoBlMQLjeCKOJS/MqQnTgpvG3rqmsDrocFe4Wy7HE8S8UzrnrS0QY9+YSjDXjKHBX85IToCFo033Ac5+6OhM0qXrB7tnWTeOESZUTo1Ra739tU6yeT4qEtIi5q1L8etZ4ZZv3TfpQLjxCSlwaSaLMJG3BIG2rT9u+OizNua4rpYJTShx9744wl5kFsVdhdPeS9W7mVcJQYASHklVF/1uV+yP7hmKOqiyMbxhghxGj8Jz2hilG1upQ8zhDWg0rBpCQaihZbhFgwAhsAZLqie2xyZ1ZWKWR9xEWx6u2qFF2EKCY+kQBgQWpQCJKTDTrmBKMlzO8htduXo+GpucpbpEnQKZUhhIir4XK3NyUlJSXlGiRkzPJpjf+cIA2FplwGEis7pVzJDE/PgVjdaUEInIXGzdHfC0p2YnK6ve3yVMa7lkAI7di6JQzDweELrKEFRAkcSwudLd3dYFyidfElcM6PeNXLZBXQQ+ciEwAgBPz9MQCAx8aBwkqjBg4OQ7U8dVuWlclkYClHjFJavGZ8Dfi+bxhGQY9jjBHgdDFIyxUCUHa77CXWMI/R3zmg75yY+Oh1my+XJfclQ1EUgFhFBp0HHQD6DMFAtFh9jn5hURQxxpVPdFSvssIGBXl6DdEIjDEhJCp6KctybOeJpOfo7/WkIpqmaRiGZVlr2Ek+n89kMlW9StaAKIolYRJN095IWGihIrappbnubajAmBd/Tm/Vc69amaULEyYCaZMYzNBSYeVmNf+spwLAhMOLb1pZGcVqkHM5s2NT4miGEHpnS/jUTIx8Mx/AXZvQoA0A8NgFAIATC1jNyL2Sd3waAIByAIBHTzvv3e5tbZbz+fz/+faGf3g9bwc8moF36tCeFc/m8K7G4MxC/IghY37fFvT4mHBqgd+0ib620rO6Y2VWNef8q4++Mesv70qVxHbuHpsjmsACBkHZZScThBB6dSx4dSwAgAZp+dLTNA0hxDmHOKN/C1e6BWRC63WeKWS6iMwDiKkpWpmctCI52hQ1APDICueTKaUkvRqfQFnEGWaM4RUdiZeNyQr1dMznkUSr5UZQTEAiPfbksBQ/pZkRMjMrO9dOYhmIAWeHaczc6ZwDiWbnABDdhuodak25lvjiF7/40EMP1b592p1SUlJSUlJS3oKkAnSduTTrNGegLM0q+t7iJzrOGJBiK6DTTEPTM22tlZbfptSIIAg7+3oX/6exblX41saZwfOAqpSjLCaftwFWqBUlii4Gvk/3D+e12xr0qumxnPNiVU6SJELImjNhDcOInKALr4ii+M5Ge9BXBh3SjIMxGvNrz5dfEUts1tjPB0YObb88memXDISQRl2bJHbFIa52oCAjecX1/QBAkqSqpzhyYol9KxrxOOfRGY/+u6oOoChK5DYeSeGxQ2gdx9VIg16bofN6PpsEQqj8FJiMJLm4/UL7pZYtkn77eSqomJlsuT2McwBe0vKj+cVrc9iC6/XlUIcZxO+36rnes6P3qZmL5a+bIVoIOABcr1qjS23gAAO+fN/28KkBSpd2fHSS7eyQopUWH91DFEX5/141b90ivDZLFnIAAIOO+J6e8PHhFfvfrEOXgY7MCY+PAQDM+MgKSW8mHMwvH29JYuP3nz866y9rqZ/cI+sCcEk9f9FXCLPjUpk/1Ms559ub8Ll5BgB2yAkRoh/NDnjOZ7EZ0PuaeGVLrvzK6nwzQgPhvMaKggAgsiDAteZsIs5KGsMRrpYfDwDgErk1mDMFkSIAAD2wLLHSsoNxra3LnR0ljeVadjlnaaVd2Vj2g6CCs02aAZ1Sma6urq6uy2O/lpKSkpKSkpJytZBacFx9cM5DsdRtAHHWOD9SLBVo1hwVSlW5N0N1arpKvZ2Uq45zbBXmAAr1R4NKuXKbhKBJJUPM8Nc0Pvi+H60ZJ4RgjBVFWW2mT4nXsO/7nudtV/wuhWEcIzQ0IT/H4wXog9LCnJgZI8bQ2MSq2nA1skWo5F0gAx1H6ojcXFx7EAA455pWJReSMZaUQm5ZVmRooGlaZOihZTJEM5RMQ5QXXxnDMGzbDsMwCAJCSKy2m5QWvWZ8319bRjznvO46lK6XxngQQmcT0qwx8L3bLrXGEXfNAQDYjHSIK4IZM6F4vbLiDEpAc0tuz6MOFNwkFEV5I8HzgJDqw85d2dIylRHPTmMAeK7MIen5KSGblVQBAKBJgc1LiyUURREEwbbtL9zSMOatiMc/NS4caMW9GQCArQb0NuGpQDgyt2IoO9TKJgKhQ12+7TY3NVqWNT07Nz45eeT4yZ9NLB4LAsAIVMxM07Qs61O7JZ+V6uy/spsDwHcHIKQ0Up8BIGRQMHAnzP9Bv5tRRAC4tR1u7UTXt+GODJZkod8Rq1b2K4Yj3OLHVOpLonb1GZYsntfGRTHrLTlKV1afI6aU5gYUCMlVEJvClRcXZ0qCd8eFiekKX5R6QKekpKSkpKSkpKSskzQDus5cgqeU2NRCjslCths4i7LPNGvG0uMznU8F8qaNbWDKpSYgq1AHqGlCcr4wAHBR8mFdWZaWZamqGgQBQsh13dqTRkVRLMnPBYBoBbrjOAcM4jA0H4QceFbkBCDgaMLHKPDzLEZS34ztEWWxsx93hR7GNqiO3BVC7+b20yPxuczNQW5ebgQAG4mDYvNOIVc4I7ZtI4RUVa0g8vq+TwiJddPmnPu+HxrZ8wy7kooZDYriFrsM5Ji5pN2WdAzXjVcVBUGoWiJsVUQeL7Ztr0FN9jxvPQn+JRRbixSQZXki4Te7JRteejOZTomOxpVDHPGlOzO5fk8pTnk+bBsdoj+5VCa0T3IOe8sBjzdzaHdGA4yfHIOkEouGVqmSXsTendufeSW+qsFu2X46RCKC7gwezC2fXztE9/biYZuczePjFpw94exsItc1+rquM8Y45+/uRocn6dG55d57OocB8KF2emSOxNrbvDCFKUcOEZokOu/DOzrh4WdH2hQ+zwjlCAC2GWzIxADAAT68Q7LtxXMtCfhTB/TXL1qYkJfHWbPMDzTD94bQr99s+L7/6kWn+Cf9H4etT+zXVMLDMNzXKvzTMfvgJvT6fOkQbVA3L6zCVcNCl8GFVg9sS1y19UdlHEHJePm5hBqDKqIq9saWbhAY+BZ/+qyyuXzLWcvZXt+WpaSkpKSkpKSkpKQUcS3LMZeF2Apa9aWSxo0wAGAaWGqySSjC45OTG9CulMtDkhYWW/dJZOGgV0l32K+67lJcSkBrjKZwzh3HCcMwDEOMce0XRRAElcvEUTufCRY6JUrtvG/nuZPbjMy+RmmPWvoVIjDfaCisMWeIDE9Mle3vmkIQhK08JnW2xZ2N1OcIH5GTqClKW47gnFcu1cg5L8mbBgBCiGEYYeOmabXFDUI1cKHM1/UMbshkMkkp8DXKuBshuZqmKcvyGvZMKS2k8a6TSMguH88tLoYJhgU37tpWl69eFVva42sebpPdhTDmzM4uvYgA3siviAydXIBHLuJHhhPVZwCoYINQACG0W42JSUiIPTvKAeD93cE9W8S92RUznGcmhWFr8RWPocE8I4REv38QBJ7nvb1Lfc/m0j5ph4mdhHL0jnZqU4QF0pkhL84IIUejDu6SaGRvPRWQjMgA4M7NJCsv7yefz2Pgb+8xhhxyYxvyKFAOdgD5fP6/v+G/Pr3iG30G/3jM+YfjnqIoR8aDB7bCuXzMzE1gq6u2agqaQusZ16kFS9Sy3nz8e3LbxlEAACAASURBVJyvKom7GJ2Xxgfag7lonxMkM8GW7ykUkVj1GQCmcJWE69SFI6UWGGNzc3Pnzp179dVXn3nmmSNHjhS/G63oeivURk5JSUlJSUlJKScVoK8+qhsahGFlb8dh9xovyPaWIulJJlY8Vqz5JG9ZAFAxPQ/LumTI6/DIrWnaqtJXXddVVTXWFKIgFxYnjSqKks/nM8HCOxvsFrIsa3XpnKEVV8rZFcYe1yYHtnaVi0qWXGqFwRE6gVdo0CVExsSGYRiGoeu6qqolOqmu6/NG2zmxZQZrDpY445gziOl1aAQ0MU5SJITUN6+5FhRFMQwjEtMppYKwxjVAhmGs+bMFVFUt/wVkWX4+wQlgr+pdlhT+loZ4K5UBT1ExuytTmq3tc7xbsgFgh2jR5NEmFgnxGh17btneEdNUakXa/XcviIHv3dxCP3tA/sw++Vf3SfduIZSjm1uW9eVDbULkvh2GYbTwwjTNLdnS6IJKKo2B/TkEAPkQTXvLR3o2j29oCAEg5EgU8FaN7m0RS1aB2LZtmub7t/A9bapE0A1dxj3d/B9PJ36RG/L/OJG/dwv/ybgQG58I/VJR3wirDHl6UE838xqxBDVeaEaoRu+O/VBqHuKT0rDlhJiN9skAsWqdUGduG8tTUe4fGKylASkpSczOzn72s5+95ZZb9uzZ8/a3v/3uu+/+nd/5neINvv71r991111f/epXU1OXlJSUlJSUlLcgqQVHnbkEc0qMMQn9cn/niMa5C/NNWyrvwZX0UwPn9/T2XPrV3CnrhFI6MTM7mzMB+KamxtZsU6IQVn5yOdcxvVlPrDiX49LoCmkDrb+HrHYPYRgqihLZdxSuJkKIqqrlFg2CIBTEaNu2D+jai3nB52i/ZI4JpRY0DpGDIBTFa3nQQwjd1dP85IWFAC8eZtZfWFBiC1SiM6hxlwGRLiZJUpSoLkmSIMsekCmQc2hxkGkgQTt3jEzGtixN12ewNoFXJEQ7so4xgbjghg2kPIwhSYsl4NZ5vACAMVZVlVJKCEnaoa7rUT8s1LeUJIlSGvW0VX2druvRHmJV9apENtnR38WlOwt4SEpKf76+exWFRutI0iUjI/66bcSqe6dcda9qH8lVWs0Qy3WNtMYRw9D1vdr4KXs5w7pd8F8bXxavZVk2TTNckn03Efj4Lv3fzvi7MuxMHgPAMyPh9qZS6x7btm9uU34+GUR9mSD+xnylEcOh8a19eZrc0+E/PythTN7Tp8RODHTDCBhYC/buZjKTs380HL8rDNBtwMEWmPLIM5OJEq3jhrAyomRWc+SYFzK7wxmGsSqJPV1dnPNTQ8PDYFCE1+PjXBmfVKpAUAsnoLHklQVBLy2kWwOI884wtyDpvqRFGdSnSHNfslMTu9ZNnFLWyeHDhx988MGLFy8CgCRJ7e3tExOlxScOHTr0+7//+y0tLZzzGsc6zrnrunNzc/Pz87ZtU0ozmUxHR0c2m62wB8bY6Ojo+Pg4AGzatKmrq2v9QdOUlJSUlEsPQUhMqsdSBkulnZQrnnQ6Uk8uWUZDY2jNxgnQkmfON3YDAGKU40p5ZFPaJvP8xM1b21MN+mqBMXZyeHRKzgJooGsAMBUATLqbvDmAxFTWYkRO32SXWsNa1UWBMY5ccXVdLzaDjoTm8l1hjIsTwB3HuaOJnMuzMTXeAN2y7abGhtU0/+pDEIR3b2v++eDoBDGAczu5kFeA8AmU3ZEh2HcBQJIkIiuDyAjKHMBtCuelJgBoNNQxEmNAQYmEOQXOEeclKnSAiChJUd0/wzAiuw9BEBBCgiDUshLZ932McVIyvqZpkSJMCFEUpThKoes655xzXi5MR70rqqBomqYgCJRSwzBiReECxfuXZTnyDq59lUB5vcESJEl6ajpxQG5tie/VGw0rK5cX4XIMAFkS+DRGi58LBZSwDqMCt+6uEj0t5s69W/tfHw04BgAEvH86KO57//qm97GdK5zNZQg6dXQmj7do7IKNAeDZkeDmLCoeWDjnb2sjP59c7JZ7GviJhRVnREAcI/CXJvhWcv99alz4tQNi1D1ik/0RgG+bb87C6Xn+UsJOmmWuK8K4i8bHAQDaFDbpYoxgRyMeylG/6Dkj5/MSvRlzWrIKZAWc396mNGSWS0IghPb1bt0HwDl/enDSJqWuO1csHGHCA1p2sH3exIDcXr69Rr0mZk8p2Smx1F7mjaHRG/q6Y78lGrjq0uCUa4+ZmZk777zTsqy2tra//uu/vu222/L5/K5du0o227NnT1tb28jISO1ToyNHjvz5n/955GkWuTYJgiBJ0i233PLFL34x1rUsn89/5StfuXDhQjTySJLU3Nz8x3/8x5s2pSVgUlJSUq4yvJCaXq3GTZymy2tSrnTSbI4NJxJc6useuLUlVkbkAZajvNfK6nOEozScHh6tY6tSNg4/CF4YmZ+SY8xYp+Rsp5uwaH8lhK8uSaxLout3KoyNcGiaVvIkLwiCoiiKopimyTk3TbPYIEIUxdinNUpX5EtyzoMg2J7BDRCf1joxm2A/uvEwxmbn5scnpyanputVwi4JhNChvq57O5QOb7Zqgcp+1NAvb/KADMutZ1BjufoMANrSWv6FOPU5QgxcgYWxkuNp3KQZGUXPzII0idSz0qYz3HjJ1WW5plxI3/djLVkAQFGUgqRLKQ2CQFXVyDkkym62bbtCcUUAME0zyo8WRTGfz1ewJYlSngvnzjTNSEPX9XiJX9f1KNmZEKLrumEYldVnhJCFZD/hRtGneJcrWMhYfHfN4FDF9O3Z+Hddju9sW12D79jEK1vAlyAIwsf3NmPgALBHNPMrzZqtEJ4aYcV9zPf99/ZKADDq4DaFAYAbssqSYlAmvocc9TUSaWnqVGGajwHCMEQIRcNU1C01TYtsbQzDmPP4U+OCQhJ/pc0at0CcKLLMmnQxABAEd22R/JVZLqfmMawcJBkiFVyVb9KChky8uQpC6B09Lau9X1xeSNyRlqjP2dBspzkVs0BWp9QWiMvyHqnmBJ2SEsvXv/51y7Le+973Hj9+/AMf+EB7e3tDQ0y0u7W1NZvNlmdGVyAMQ9M0W1tb77333o985CMf+9jH7rvvPkLI008//Sd/8ifl04lcLveVr3zl7NmznZ2dDz300EMPPbRnz56xsbHf+73fqxxhTUlJSUlJSUnZaNJsjg1kZGz8jEdcLEWisEK97YLf0921/j0bhi7NTfvSClFGy09bxorsBoX5BLiFE1WeSTm7PQzFNKnnyoZz/vK4GQqJ59FubAevuliAOSuPORFgNCEQNRWgXZpcnIm8BmIlbN/3JUlSFIVz7vu+oii2bZc4bNQSs6GUlmSVRo4KWwV+jJcu0waA05DZfsmz2Djnx86PnucaRwhABACw8s3UvnVr24a2RJHlm3b1nh4eHcDxMlMBBmgyxIGcGLUSapCiJN+SOZ9Xm6AsD5EDOo1XxMwa/RyRGxcClM1konqVlXeelCwWJTgX/pdSWllujqW4/ziOE/UoURQZY5GzhyzLQRCUe25EzfZ9P0qjLryuKArG2LKsyHAjCqhUbYauG0+OJmqR79wVXzntEoAS3BgExDlHnucBxKTK+gxu2tXz8+khm9UU594sh2/fs321bctkjF+5Xnju+OCTYzG9dyjH3lCEg01SYRBzHedX9qn/eNKb9VCjyCcdUBS1xIalIPQrhJ/Jx+z2zi6xTaM/GwkBKinQn9kvO5YZlZqMDIUKX6Sqan8OZi1vwiU9yQWDdzWjF1ZWTsXAGaAmGfllGS4cQOGBi1Yo+LFOGnrodHJ7S2+lX1sQhHdtNp69OOfE5UEbof22TXpDJsM5p5SGlFq283Iu/usq0OQtFNdHXQ9Zak3gKut7AlE2qxmAMITzpplJDkSlpMTy7LPPNjY2Pvzww5WzjGVZlmV5fn6+9gzotra2hx9+eMeOHcUv3n///V/+8pcPHz78+OOPP/DAA4XXOed///d/f/bs2e7u7q9//evRbSsMwz/6oz86evToH/7hH37jG99IFz6mpKSkpKSkXC7SDOgNgTH21ODUG6HmErlgxesS+QTPPD84Xpev2NWwQg2R3bylt5Zs42LJQlUSyk4PDdelPSkbx9GB4TDB8juCI9ztz1TdD44TS5LUZwDweaLvQe24rluevhqGYaTKWZYlSZLv+yVZPMUG0NFOkix3S57iIqtokvR8hdBPh6bi39oYHNf94dDsEOh8ZZNmifbYhfzc/MZmZCOE9mztOkCqWy2jimYJLDn4UcCWDIRAoNVT5jdZk3Naax+YRJJOekotZsqRV0b0t67rmUwmyiRdmxFzBSIJO5PJRNJz5Bli23YYhrZt+74fGzOI0qijFFdVVQHAtu3ov0EQ1GJ1rev695PV521yYOhV/Hw3DpxgPKdhBgAnnfiGBRwhhD57y5ZafDh6lPBjh/rW1jxVUV6aShzEXp8M/3OAFzoPpTRwrM/ulylHHgUZw4/P+yW9qDAWJZ2Peds/MlUlJHNzG/Ecu7C3Yr/XaP2HiuibCxgAzsZp3BmRP7AVXpoqfetzB1UAmHL4d8/GeHoofvWe1u1M/vRM/t/O0u+8dKbylpIk3dPbdoPsimz5okacbadzd23vbGxoQAhhjEVRVBWltTn7iz2NHd5s8R4aA7OHlhYMLKZe6jMAqDWYQHu12U+PzpXW1UxJqcrJkyebmpp6e3srb4YxRgiVF7SowNatW0vUZwDYtm3bBz7wAQB47LHHSiZLp06dEkXxd3/3dwsjmyAIX/7ylwVB6O/vjyyqU1JSUlJSUlIuC6kAXU+ihLggCJ64sOAlSDY5QXuh/+L63aKzjY09/sziklvOQyLGFJ2DuEp0K5k1OtbZkpQNJQiCOa00tFBOrqFjqzcFyf0KcTa5utxQfoPmRjraesAYx/b2wouWZZUbpBJCip/QwjDEGMdqf8VVoQp2wBUqy1mCGuvHuhEwxp4es8qdSSM4Qs/Og+tueGN6Nnfe3ggV+gYAoIrvhrh6prYvaTmjjbAqNf3arMlpox0AEIIRrOcYLhTlq4zjOKqqEkIcx8nn87Ztm6a5fouYcgrOzr7vm6YZxWCi7soYS8odsyzLNE3TNB3HKe66Sf2/GEmSXprFFTa6a1fb6o+jbiQVXhsJ5FbBb1bi341KKYqC8Ft3bJVxYhwLAb+31X3o0Pb1JOVV9ruzQvi7E14UGAAAzrltmZ87IDcp2GOw4NI8WxHeY2wxZ3vJDoXLmP/Xg4uJwCrm/zHAcz6PYjbl34wAOnX8tjahOHpXbGIeDaon5lHI0bs66YEsO9S2+MH7uqEjgyVZ8LD4k3GhvMDjyfHFVPpc3HXm2YXBJO4X4ZyOj/2vwcX/OzwD333xzcqdEyHU3dH+nt6W921tjP69d1t2b9+22I0xxjfv6l3crKfhfVsb79zRdV1fj0ZXobWVNLjyqLWiqQlGMSv2tpJdXrwNwkiQOCJdsjofKVcdpmmWz1LKh7Xo/rIqr6FYEEL79+8HgCAIirtlPp8fHR3t6uoqScRuaGg4dOgQAJw+fXqdX52SkpKSkpKSsmZSAbrOcM5fvDDDKlowL8gNkzOzFTaoka1btuxAJmahkZsIhbXXC7pkelzKGjg5UqtX4Fzj5jYcSHEKIObsRtX34+x9kxARZDBd//O2pmmxrgiu61awAJYkqST52vO82HTX4hYWlLIwDCskxA2MTVZtdl14bmAsrFAEDAAAXhqZuQSiRmNDwy3GWpPZOffFROvnYnrC+QObkmo88iy1b8/iBnXxpL+Js6sqUUcpDcMwcsYovFijeF0vGGM1+lZHGIZRSwjHRtKUlyi/blfDy2sIgDHWcPzV1CP5jh8fcpDR4tlFCH3x9t4HupBOVvRAAvy2Fvabt/dct3d3fRu8+L3Ab2ojd2wmAEA5THuouLeYpvn+PsmjCAEXECsW2RljDTL67H6JcqQRLhP0oZ3yk0OLycXukvPy5w4oACAWzaE6dfRrB+T/Y594d5tfYrqiqmpxsMS27b3NBACeHCPPTZKjC4IsE0UhP50SZv1KszJFrpTy/+LEog20BgwAhCJNFnHW3z9xeHbF9fL6LD7evyFLoIp1t7u2bSJV1eEyFOrd3228b1vT9YLZB/nKSrTAwhv27qq8TVdQutzEleO9iSws17doR8pbgba2Nkpp1el0VJagu7t7/T4YP/rRjwBg165dxbuKEpwzmUz5raqvrw8AZmfr8PSRkpKSkpKSkrI2UvPfOnP2woglJkkwyxw3eVsLX/8EtLO9vYPzV/xV254WMzox0dvTs86WpGwQc9IqFim7sq4Ab8xNTUnL5QqbqXV7XyfnHKZqqlUIALcblkiIaa6rX0Xk8/kSm+YCUWnBWI/pWE020o8QQpIkRVXjPM8rqNuCIBTEvjAMWxX/Ao+XTc9yY/7shV2tRnNT08aZIeby+Xmhej2rHNHmFnLNTXVbip5ES3P2oDd+LIw3TKjwK8jU50IlARpxpgf2Zhm6e7YAQPPUhdmVnbYhtG/ubmnItHPOz03NN3gzObUZEFJDR2Ju7fp7EASKoqxq8fLaqNArCqYxteynlkPTjMyjyeYbAPzu3Z21fNeGslmm/U6M1v+C1RBr7AMA2kq5eU9fz54+cF13biEfUipLYltrS72aRxCEZa3ggM7Ms4/tkjbr5N/P+v97IPjsPrk4HmCa5sd369867T86GHx4h0JCL7LL8H3/w9u1Rwf8rTrrUPnL0+Rbp/2DTYXdLvIPJ9wWmYsIHLp4+t7fJyfV+CrpUZTSLToXMQRLPxIHVEvdcodiKAutfe6A8ki/N+PykC+aRNtAACAsCoTrC1PzQYy0/e0z3oEdq5uKcM4np2fPTZuc894Wo701WzkOhDF+z9amH16otfoZ4vy2RmjOLmb9b+nqAoAtpvmz6SDWY1pk4Ts79YvjUx2EUd+bJhkedziobI3BMCTY2iA0Ozff2pJszp2SUsa+ffteeOGFkydP3njjjRU2O3r06PDw8Dve8Y51zj36+/tfeeUVwzA+/elPF+9qdHQUAARBKN9/ZIaWy8U7zPz4xz8uj7tEhlRXeJJK4T7r+37Sep2rguhAwjC8wn/wqhSirSXp+VcjlFLO+dV+Rgowxq72Y4mGqSvwYvcpW11vX9W2q9vxKrZmfL1dIirGU0v89Qqn4L93hQ/C0RPo1T60pgJ0PQnDcABqSlXzieS4rqbWlFdYGYTQzd2tL4/lK9sELw11MVNe11tXlbmUjSMMw9WWdQJAXkNbh7PAabhJlzc3N6rKonayTXCGwupdTkU08DyvTilg0VNQiadzhGmahmHEanlRfnTJDcC27Uh6jpJhXdeNXIAZY4IgMMaKZe4WFLgcT0FcvipCU2JmagHQ/HwTtQ9taVVWk9ZaIyfG56CGWBQAvDFt3bXxAjQAbOnsaDLNF2Z8WmapUcEDWmS+DwndhvO2MLe3u4OQ5SO9advmpy/Oh1gUqd/Mvd0dLZGW5Pn+D89NhTgDMuieRSXVETUQNczmCha9YRgihKI+QwiJJpoIId/3o35S3FskSVpDycFaiHpmbOVAzrkoiuuszBmBEBJV4weV1Ge4NctUde2rW+pFiyr0x/3SN6jmaU/z49JbCxnQxSiK0qnU/3Du2owej/M1zfv8b457WwyEgH/ugPLaRHhj24pgmEC9X92nIATn5ulmTVCXepRt2w9sVf7+TWiVF4/t2Hypxko5zHj4nk4YH1t8JSltNpPJlAvTQRDsbiJ7DO8/h1fhY45Cr3jahgB+ZZ/MGS3UoM2E9oJYOgmRmf9Mcjf77sunP3zrnlq+fSGXf/bsxOFpRvnS3obnAObu6SJ3HuitIKit6kGxKbSas6W1mjOG8YsaOzI0Oob15Xsi513MvG5r5+GLUznRABlANpoY1Zz5aVA8vGJGNC9WqcVazIl5951x8ZFiL++UlGIOHTr0xBNPfOlLX3rqqaeiiQqsjDxxzi3L+sQnPuE4zk033bTmjhQ96n/zm9+klH7kIx9pa1th0DQ/Pw8AqqqW7z+yB0m6af7BH/xBuaXV5s2bm5ubk+JqVxq1lFu48vE870rWPlbFBs3QLj1XyyVQlTAMr41juQIvdp9xzmrXBPmqZOJVSturEaApq0uXKDymXQO4rnsJUp3WTNS2VIBOWWZmbo6jWn/SgbHJA31b6/K9hBCB+SGIAJzQQPZsQj1HaQrF5Uf9Juo0UXtIinMTXrXEmXKJcBxnbT45ttq4ky90b24vfvG2HV3n35zhlbJdAQBuzITBOiaNgiAUpENFUaIhEmNcUmYQAHRdj9X4AIBzLghC8Sxc1/VIaIYi05ikjwOA67qbFZhiUoXsXo7QnKD/eNSWeK4bufu2dtUros45nxJq1TtywqWrL5cxjHcp9I2hkXG5qfKWSug2BqYqy25gzaox+njWmj7Y2y2UHSYh5KBKW1uzelHxSdO0fnxxgWIhytC0RK2ROg7WAYBSGuWliqIYVaeMPlKcOI8xjgygi+cEhJANmu5EHtBJ79alk8iyPMOkV8YrXYxZEh7aU6Wk1aVhW2vm5dmY6f7P7cxteu5FKybQooqXTqe7edeWxy9eSHr3gskB0LdOe2YAp2bDT+0xLGtx3AjDkDGbc7672fibY85dHUFfy2KvEwQBgJrJluYM4KM7pSYFz4bBxTwNOUqyW0lazzHp8OOzQrfGLto19ajbNtHnplZMMB7aKQkY/uNMaAaLX/HqkEW5FTAgCA40Q1OTNicY54dnK9xHDs/gE4+d7tTQ3T3yti1dsVb7b/YP/fC8nwuic1p6Zp8aoc+Onv3CLe3Zpsah4Ys/GrBzAXAAQ4B3b1N2bNtSPvhXYE7QY3VejPGNfd2cc9fzohqhiiwj1PTa0GhOWu6BHBNLb1EBGgMXO3nCKcWiKaolejQAbLPHQq3hIsSsU8kJ+hMDk33Y2b6tPpO0lGue3/zN3/y7v/u7F1544ZZbbvnyl7/84IMPFr+7sLDw7W9/+xvf+MaFCxd6enp++7d/e80CtGmaf/ZnfzY0NPRLv/RLDzzwQMm70fUbWx2hMBlb2/empKSkpKSkpKyfVICuJyNTs6DVWi3K5HVzLz13cdRdlJMQFWR7qf6hai84S8rRPNHmcXwaI1nVOpCUS0hAabxwwHnV8pIDTO9e+Yokife14zcmTLEoOZEDAET/zwEQRiAisp70Z1VVC9HUqBigJEnlyapJGaYFCknQmUyGUrracHcQBEEQbDXIeV7NBwMhH4kDIA6cX7izCbLZbJXta/v2qifociEI5MYdPUEQPHth1l0ydy7OgBZYeGMDzjZtQmhxNGOMnxsaGhcyAZGlwNnErB1bewjZlvQV53Lez+2F+3sg0qDfOHX6NGoERABgJ+RPQwMAeEQBgC10oSDblet0UQDD8zzGWHkqzcalIlbonAih9Wcn6br+s2m8EFRp/6cObVvnF9ULVZEB4i/AWPUZAFrUSze7UGtYS/Sx3fJ/nvHdkJ+b9TaryyUBoz8sy/rcQZ1xPjRttTXqmgAIoRaJ9ZuLwy8GKBsTUUbkALA/47+tRRIEwbICANB1PSo5aFmWrutR/n55ezzPe9829XwevTFdkzh7oIXs2ySeyYUz3vJl0igjBPDhnVL/PP3ZSAgAuaJO9eoUwJSDwWbVopg+Q+dN+IeTHpwcIIh/pBcd2Lsreuvwqf7vnWcAqKJPDwQc/beXJhQy4dLlLR0K//O0B6fP3pBlQkfNTjII+UEgJ1RpQwipRUn0M7NzC1J8D/RFRaP+JEkc/4e0zvYwnzQLdol8EuSTQ/M3ye7mzrRWc0oV2trannnmmXe+851Hjx799Kc/DQB9fX2U0iNHjhw4cODEiRPRZq2trd///vebm9di8MI5z+VyDz/88LFjx+67775f/dVfLVeTo9qDnueVR3GigchIqCjwy7/8y+Vh1xdeeIEQUssAe7mIZgjR5EGW5ataXuecu64rimJsFPAqIgiCKAQiSdIlLtRRd3zf55yvqvjHlUk0hSaErL8C6uUlchG5Ai92QjkynSpFsZfZyEfE1ew7yu9Zz7dFgzAhJLZQ01VEYeC6wgfha2Md3pX7+16NTCqrmFMuiPFpPquFcz4ixq/fd9QGxCgvGEEmfNfmjvbY11MuO1LSCFhDt6FEuDA2vmXlk3Nne9uAh4tryhXviHDaHeYYDaqqw5UpMepljBXPeFRVxRhX3T+llDFmGIZlWWsuCSWvKriC0LMLcAeab26qkh1cFbaKdVgAALZta9qly4MGAFEU7+lrn56ZPZtz81jBnBNGNeZt13FHW2kUDWO0s6935+L/Vcns5pzPCgZH+IcX8t3e4KjUzPDy7xmpzzL1maQAgI6YKwhRgmTJYMgYc11XSXZs2KDZZ+XOr2laLXUFK6Bp2hMTxK3Woz+x27iqJxmt6iV97Pz4TuHfzsYk/RXAAB/dJf3Nce/pMfjsPqXkJDLGomtwW6sxMB92qVRV5A/v1v7m+GLYIzpdAuLtCh9xMAA0SYhzns/now6DEIpWfkQvwlJXSVolhxByXbdLFcY0YcqlAKAQ+OguGUKPEfnIVDhmsRmXYwSMQ6eOb+0gCKFi9RkAgHOEse/YEil9PBYRDzgCAFZtyUsJlKN/GwBh8PSn9qr/q9+1aBXpufiY3HgtHR2ZI3e12KZYOsRJzPfLEpMBgNWWMc05P2HyCtNY0XdArRSAXKjobg8AgNBrvuqPjG7r2lxLk1LeyuzateuFF174/Oc//5Of/AQABgYGAGBmZmZmZiba4JZbbvmnf/qnnTt3VtpLMoyxr33ta8eOHfvgBz/4qU99KvYO2N3dDQC+71NKSx6h5+bmAKChIT5g84UvfKH8xePHjwuCoOvVq1lcLqI6ItEwq2naVS13RnMeSZKuZMW/FmzbjnQcRVGuAbmTUnolXwI1UhCgr/ZjibyGr8CLXQgZQu4qrJ0R3ypeSAAAIABJREFUqn1jjFcxkUOrmfVhjNfZJRhjvu+Loni1dy3LsqKBS5blCs+el53o1n+lBWBWSypA15Pimj/LJCSrMlSfoXN2fh5ijW4BACHVXbC1KrJ4UkJEymVH13XIWzU//5cyQNXulUEOz/OK1edi+vxpz/OcICh8NaV0DS5IlmWJoiiKYrC0qzAMI1NdWEogrdEYjnO+Hh3cMIyjTF/tj/fcHL+Dzzdn16VB+2Hy0v04LpfU2NrSvFQKrm4Vt2bmF5r9/IzcCAAX5TjPHwCZ+S6XBRYGYVB8Ey1W66JO4rquqqqxHWYjDLCigEfSu6Iouu4qqiaWo6rqi7PV1efbsmFrcx0y8etFECRqu9ep5htOzB3ECupjIl8j+3f2dl08M+IkXkcDM05fi9qmoQmb+zxm3hbVGsII7cgKnBPKOAKelWBmKd8dA4QcbdFpJEDf3ckcxwcA0zR1XY+KlmCMC9J25UCFoij5EOsyapIpACCA/7JXppQ6QQBBcDAD1zdiVVUZYwihMAx9339qbMXRbVJRlGotyupPznky5h5b3iDg6xpSQo6ev2BbtG4PeEfO53bsKBWgY9VngFrzd1zPq1z6ArNKMQkA6ABvqIZp8LFQb8rlmhKUu5SUCIRQX1/fY4899uKLLz7yyCNjY2Nzc3OU0oaGhra2tve///3vete71pxKOTU19bWvfe306dPvec97PvnJTybpeh0dHYqiTE9P27ZdrDVzzo8cOQIAXV2lBuspKSkpKSkpKZeMVICuKzxOKkx+lOKcT0xND5s+w4RwtkUX2ze1rlaKGp4zQU+c0dp6c8PCWK4hefUrv6QyQcqqQAhVdtuQAtePHFdigxxEyJtWQ2ZZHhqYnINkb+KCZAwAlmVpmhbpyMVuvJWJ1uAEQVBu+rkeKXkNaJqGEGoAP5cUnkkCoecWgMzNZJgrIh4yUAhqU8X2bEPtEVFZFAGqaB/FXGmR/DXDOT+S41TLtni5eaLSojBbI/gmiBQQABAa2gEDwJIoVi5/sc5k/DVQQV+WZXk9jREE4aQpzPhVRvg2Mbxp97Y1f8tGECRkpN5hLIRxYi4AzCdkw24QCKFfe+eO//ZU/1zCz/vkGDY5nbA5AAwu0C1x6o1pmrIsS5LkBcH3B+mtreGMt7yikAFs0dhL04uzpnEXb1uK5RWGx9rXauQC/J/9y9YcD/aJlFKEiWEYCKFId0YIRWOpKIp5Si6aK6w8phwebSYg+ORO/K9nl7+6QWRWiGtdCZrARLKavwbmA9zizs0oNYVVapwFDVwcA21ThQ0cocqIPQQ6ABiBZYpVMnd+Pu2+K5O52qu+pFwCBEG4884777jjjpLX1xNm5px/9atf7e/vf//73/+5z32uwq40Tevr6zt58uS5c+fe9ra3FV4/e/bs4OAgAOzfv3/NzUhJSUlJSUlJWSepAF1PskF+Ls6OEHHGywv9cf7MmMmRCsriU+yJEE6O5PYKbudqPDHMuPpgxeQaOkjoUSFehmtzZgDSDOgrF8w5i3vWaA9yFpZMUalc7nZkLlcsQE/iVfg82LZNCJFl2bZtwzAcx6mlllQYhqsqObURRC4fANCL3TkeDseVmaoMxWQe6wAABABgzAMYd3U6/wtdTWoNMjRZpXvU1b5KscDgxVFKGgAgLzcInLU6sxPyYm51F7iDQBwgAgunhOVxMpPJJGnQhJAKgu+ajVmSwBhX8Heu/G4tBII6OFtFg9Aw+/ANPVea+YaYECA57uhJmbbBOuXP1SMQ8sV3bPvG00MOjW/Sy+NhRuSHWvnJWX/bNh0Ct2SkQmjRVUPTtHxIt7Rk0KhbfBiTLgIAAfGQo5cm2IEDa4yOYIxfHFuxSKJdJ6fn6E8vlnawJgmpAhm3KYfSQfXW1tBjskzgb497hzqEg63o9Cz94Jbg8XEpKwu53HqvjnyIegw26tRtld8LF/zdtXkPSLU5CeZJlaHYrOqwAXyTMzultlT9LofIcwu55qbGayZYmLKh1HEMn5mZ+dM//dP+/v4HH3zw05/+dOU9C4Jw//33nzx58qtf/eoXvvCFO++8EwCOHTv2F3/xFwDw+c9//mpfJZ2SkpKSkpJyVZMK0PUkw9w5iBGgY9RngDZnej5TKjRzTE4y/fz5ibdv2VSjvQvH1U4iQoSFNC4PFDG6u7enlm9JuVxI1HPjVGMdAp0FbdQaFJt58gOJXaRazC/kWKxLDEBXuBCb40wpjTQax3FUVY1KDcQWWI/gnCuKUmGDS4AgCIQQhBCllBDSjGiWLwSAT/Iq5sVVsYjyxLiznY7v376tShsIUajvkppkZcIus15fRwaYBktdjCM8p7U0+dY8VgDhk0tjY7M3PyotKj6+71dQdQkhiqLE9kxBEGJru60HQkiF2EnUo1a1w2KlwDAy/3u0uvr8X27cLAhXnMIlivF3mXkqbBY9i8U0uLvhMlQjUWT5/7p3x5880R/ERu2ABwy2t6hPjXn/8qb/awfUEvk4shMlhGCMMQcA+OwB+W+OL/fPyOMi5AgA+FqdkQAAY2yuNOnhnL8xtThs9hmsQeTzPhqy8LzP5xO6+a5WxQq4QhAHeGU81EW4tVMYctBHd8kAYAbsX9/0CQJFAGt1hkDLbNXrKUDnQ9RsTs0alXKWAaApNDGuElaPsKUqsXMvyeJjGVSL+hxxYtq8s6mmhqWkwMrFNOvRo1977bWzZ88CwKOPPvroo4+WvNvW1vaXf/mXBWcPhNBdd9118eLF73znOw8//PDDDz9ceP2ee+554IEH1tyMlJSUlJSUlJT1kwrQ9aS7vW14obZNOV9IfgyzRP2no7l3dGbqlWvjy7pmzth66YPWAfXaUb6uVZpCe7ysdhMAWCAYEJoM+sLZc2IL4YzGxTmK0xOnTRtwvAir8DBfMZM6kt4sy4rcTpM2i2oRVBbyNhpVVX3fFwSh2IPVMAyJ0+3hbCjIZ1FmzbbaAOgcaRoenHl3T1Px5ck5Hx2fmF1YQAgMPZMzLZZQGrScndgGqFUEucKhpOSegmzJUBiF0HWjdEXOx8QsAGxDdiMKHadSTrHv+77vxzrARO63dW07YIyLXWhKiNJj17ZnXderqs83Gu7tB2stTsU5P3rqzMv24uWso3Cf6hzc2bdBRajlhAz9RhKOBfFvZaTLI6MLAvnYTulfTseeR9SsoJy32G2+fcb7UK9cHv/gnP/4fLC9ATjnxepzHeGcN0iwUKQsI4QMCeY8AIDuJjmkvN8M3tcrdur4fyS0IQTcomIA+FQf/Z8DxArgZyMhAn6wjT8+FFww2W2dwq4MjTyUvj8YTNqLtVFFDLuz5MRM9Rz1EavOmfg/vsBvax0NWjsr+Ertba55mU7cTjTmM4RcJCZtEMv1aOEorzJiz4vGNbNUJWXj4JxPTU195zvfeeqpp0ZHRwGgvb397rvvfuihhzo6OtajRMfe8mJf/PjHP37zzTc/8cQTzz//PGPs0KFD73rXuw4cOHClra1JSUlJSUlJeauRCtD1JGMYsFB9QS5m1GCeK1RK3mFYePHi3O09LVXniyQMqFBddHDVxnI34WOeBBNOxpnd19WWJDGkXF5UkpCAhrDv+YFkTBIJON8azg2IMSJmcZpe3qcQt2S5NTRr0YujrmjbtizHqDYFgiBIqhp3CYhcUwVBKDkiBmg35KICXweUkDJ2jmT9tRYCDRD5wXDutkbY1JwFgDf6B4eELIACkTtHCKDUrKFwvr1n89qacaWRVLKSYQKS1uTMz0sNGFiIMABc5KoeTK3ti6Ik97pnQAuC4HkeQqiQTcY5L+jOGOPVfmN0yYiieGy+ktaHgD/Qhft6alWfz49O/Gg0BFgOJllceNXOvHp0arvs3LO/t+7FkYUES5kFmjiFMC7fQu89O3rR6dOxGcqjFn99in5it/St037OB5eT8o0YY/f1CCdn8ff6XQSIA5TU9yswuEB7G1ftwoEQkhV1rmgI/eB2iVJ6/1bpb094nMOeLOGc7zBCWcYVJgDPXgxvbBP658LbNmsAHgA0inwhAIzQL/ZKjDHbtn2fA4Bpmve0IUmSvjPA7+gSHj8f3Nwu3NYp/MubnlNxscqAiRskbidYmvRodNhe9RD64rSgz03c0JelmDCEGULF4UCdui3Zmi3I4gok2MtZz4sXnQwUOHgVR/sZLiYU8UhJqRXG2CuvvPLNb37z29/+doku/Mgjj/zGb/zGBz/4wd/6rd+6/fbbVzVEv/vd7373u9+9qpYIgrBnz549e/Z86UtfWtUHU1JSUlJSUlI2lDo/pr7FwRhn/VzlbbTAlgly5eq2y56onB0arrpZxpmtrXWJtezyavPLM8Hw2ERt+0m5pGzpjlcnJ4TMBb1zQdAzoQUAsepzCSwhf9NgXnGycBKRpMs5D4LAMCp14MvlkkkIMQxDFMUwDIslM0VRgFHbtjnnnHPHcXzP28UX9oXTXeAQWFMiLUIv5tDIxNRz/SNDQk2VtWI5IHvXjKloYtSBcwCw1aZud6rdXRyvQkCKotSSsVuSdyyKIsZ4gyIckiRpmhYEgeu6rut6nhf91/M8x3EEQVDVqq6yy1iWpSiKLMtDTqJQi4H/8v5sX093jfscuDj2o1GapJSd89R/OzKyEesPFLSKy4QAz2QuZ2mBj/ZVSLAVNLLYo14aC2J7oGVZW2Xnji6JA/QaLFZ9FjFvJY7PYFVdAgAUTf/bE16xBUeLArZtm6b50A7p03ukfD5vmmZhBGvT4o/lgsmahOC8yV4btQniPRq7qz0UEDw24ABAEATFF07kLrK1Ab85SxmHfz7l5Xz+oZ4q/URAvKSWJAL+tqZQxRwAKqvP2zKJ00uL4ufPLrx0evaVN6d/fmrq/MD47PCYPToejI/3SgwAZubmvvfym3/51OmvPXHmH587c2poNDbNUwkr3bY0d9FZ3gNSWX0GgIugHeTz0d+EhSKLXwlxed2lUq5wnn/++bvvvvtb3/pW0uqcRx555N577/3BD35wiRuWkpKSkpKSknKFkArQdeb6zZV0wBZnNlQMWtW1eYkLcnVVsbejrZZdSX5FhRGhIZQZGh2vsWEpl4zK6iRFeFRqrrDQWK1BXQ1qSARWFKWQ38oYc103KSkS6lp+p3ZEUdQ0LaohFuWxiqIYSdKRqWvJ9o7jMMZawNtJ59f8pa854qyw9kzPXrD6Nnes+eNXC2gpFXFSb0d8uUPOMUGpoaJjiQAty3Ldc59hyQCac25ZVpKkGOnRlaMvxTDGCCGDubBX8ZP+fXJvY0NDre7ks3PzT4xXMU7IM/LosQs17rB2ulfj17RJuszmTvt370h666kLAWNsXzMBgKE8L2S7l6NLGABu71b/60GloWyB0C/vVU7N///svXeQJMd97/nLLN9VPT3T492OWW+wC4CwIkBCIEEHUiJFK5ojQR6op3ehCF0IEbqLeLwQn0561KMiLu5OccFHkKIRKVGGBrSgAUkAJOEWZrHez+x41z3dXb4qM++PGtPTXe3G7M4u8hMIxE53ua7Kyqr8/n75/eGvnfIaSmbUDeMfT66ZPiLiVVlTDG3i2QCg6/qzMzSkAAB3dUkigvfvlu/pERGAhFeDD5IkfXifahNISXDFxk/OiG/rB2Dw7fPe0TmQtDVdE8Y447LLeXogRR86qIQUzluKhOGNveKnDkgf3accKIuj3ZymdHlvEmIAwACdyAkORW/vrnEPvqFXTAhMxrVda+Y8fMkSTuXwsSz+6gnzH3517v99bv7lrLDgY5ugyyb61zPW3/3iwuz8QsmKhlct91zz4kubVuI4Wvr9BIsBjg+MnTh9tqFtcl47PPPMM29+85td1x0eHv5v/+2/vfjii9lsNgpeLi4uvvLKK3//939/8OBB3/ff9773/fKXv7zWx8vhcDgcDodzDeAWHJvJ1PR0d1dXX7gwLsaUImx3Fqr4Plfi9KXR/cMDVRYw9ATOF2ip9WopAqldh+gKTrbbtp6o2z2Ac1XQvIKjrLOAXl/LqlhG40yiASCP1ZopfKIoFhsshGFoGBXnnm+6OW89BEFQbOAbBEEkLSGEIivhSqs0msC4Wexi+QM3VglQTdNi650VV2EVYFWQukQTr8MxU0YMw4gMBACgxO9FUZR6svXXgaaVlqSLhTFmmmZUkLOS5cgKhmGM5Enepe+/J958MwzDOnMq5zOZJ0bMRVrXI3s6lKdmF7o7NtNY/EiXceFSvYbI9w+vf07ApoAxvqeD/mY2psczA/bYCNVFpgjgEXRqIRxQ4929VQH2tmAF00LBfnBI/5eza/qQL5/0AARoMN5WbnmRKLqkjDGMsa7rXzrhMYDzi96d7Wx/u7qnGZoV1KKK+9MCQmisQH4yEgDA9y76hQA8shRBvH+H0qqhlBJ+8zxZcAHj8HBq1SpdEITbOoSfXyGncnjc8e7pkfoMJGKxV3ZtmwHAHR3K3rTw3Yurt3DWX/1pwXI9gegfP5laleQ/uFtGAE9OBF5IMv7SOf/6GX99jhbzXsxaHkX/39GFT98c9nStGnTs7OueX6z4rKk/0l8MYqxKUV9h+xUI5WwTvvCFL/i+f8stt/zud78rCazKsnzkyJEjR4782Z/92f333//b3/72H/7hH37/93+fOzJzOBwOh8N5rcEzoDeTxWwWAA4N9jYFa4UMxpKhsw71GQAmlXT1BRBCe9XaEkYgVszzKt7YK9nNTy3kbJA9qXquXQyYhqmm1VgIq5Dp3EptAJBluVI6aqzWHNW20jTNKCL6ajvMU3Zd1zTN6LCrJ8yKojiE7FRQ2EUWFdjyzE2JBkPu7Dv6jBtMfYbI6qQWBK9phB5DxQmkuq7ry97Buq4nk0lJkorjGbIsb2l4Q9f1ehKcHcfxPK/mktM2+9lo+NwM+78fP1b+LWOszjvlyvjEty85darPEb8cKy3buEGam5I9Ul1PBxmxluZ6K3BuHQ/cWtFTO+MyTcQf2KMAwLzLKqUwO45zd7c0aUMymTSkilIRaaQ0ZUIEGbMhg0rLqcEP7JCKQyyU0iAI2jQEAAGFZ+fgqyfdU1l49IT3xeNuVJAwUp8BYN4Fr6jH+s5F/5/PuI7riogBwPEFKiiJqGdO6IaiKLbnGyIAQN6H30wGrRoeTvgr4rvneSqxHz6kfPyAsr9FAIArds1XRKaLzPf9rBu+sQtatTVN9P7ezX3DRF8+liuOMiY0DSqf/Dl5PY2wivoMAE3JdUaCOTc8zzzzTCqV+sY3vlHlOSjL8je+8Y2urq4XX3zxmsTpORwOh8PhcK4tXIDeTFwsAwBC6PXDPcNBJhoaKaGnYuYp1ebpC4xWHEchdPHKePX9tqfTTU62ygKIUr++FFoiyH5QO1eaczVpaW7GdD3CaDu1i1Nswgo6y4iU1pJNiqKU230YhqHremxmqOd5lmU5jmMWoeu6LMtbYUG7bmpqfGEYplA4KFOR+Duc2SMo10SdBBAAhoFJQDE0IDBVJx2abx9uv2nfnioGJtc1NRsqWjvqPkGSiaIpFwghy7JM07Rt27KsQqFgWZsspFY8MIQEQYhKDtafCh01+PJvE4lEIOrfv7ik2I5Z+L9891jJfVGlkmcx85nsT6ZRo8mkJhO9zTMqWcgufv1kdg40SRJu100NVbvK7x6+NlMKShAE4fWdFe/cc4v0co4caRPOZimW4w9YlmXPNtPYZQCmaT58SAGAdw1JDx9S3tZLO9SllkxJA0JSzmc+RZdNHBlpdCZQSlo9SMNIIoQ8z3v74FKjCilaST2O+OLx0rx7EYMqgIxBxGCF6DtjUshQu0J1EUkYRvLUcRwErFAoDLdq8nIf/8E9imnGlJ81TdO3zZtT7sOHlE/sV/QaHRWyQvTdUXh+JvzWJXY+t3oqXtcSDjSJH98rvrlfAoD3DglQ5MazPghDP3hpZHXfCO2TKs5CCND6+1iBxbfwZi5AcyowMjLS3Ny8e3eNWrL9/f2dnZ3j4+Oxsy44HA6Hw+Fwbmy4AL2ZyGRVUNg7PHhvWmxzFpii0VpTQUWgAjCZxStlk1B7PH/zYK9R2fFQCOudOg0AZ0Y23z+UsxEQQkeMxscqjA23r5kITyvf76NiC2OsWBGLsptN02xIAaSUMsa2VWpPzWp1oij6vm+aZhAElFLTNDu9xX5v/hDN7g3mB52Z/SSzB5mwGTJ0RjS21cnZdAZZjSqsqGzU/RJpWkklLj85V22UTgjBGJumGdnL1LmWZVmU0vLlMcb/fn6N/usQ9H98/4S17B8S1BfnY4z96HJtNTyWV8+Prm/FElzX+/al1ZvoFT8VinJaYfs1p1kISyTFW5Nee3vbpux349yzt7fKt0dnwju7JQD4xhkvNmkx6joopZQQQTMQQu/sI1069n3/QkGYdZe608t5JmlGMpkUVGMlfz8Zp1QahvGDSz4AYACPAgAQBitGLqJmPHpiyVuf+s6R1viQgybCUBM+3CZgBBKGT9+kfnQ3/uBO9JE9wv+0V3z4kDLUhAFgzsPDKcAI2gWHEOI4DkLIcZwHd2oA8NA+oWbHHnWG7xlEn9gvp+SK8Y870iEAZP3Sh8uLWfErp/3np1wZs08eUBRJSIiws2l1sZVSkA3xanZNTLGno10N4jx5NtZxkAqzhQxj/Y7/nBsbwzAwxjVDyxjjyGbn6hwVh8PhcDgczraCC9CbiSCuSYUzDD2v1zUU95BIEA4rXI5AiK+HU8KtOzr7wnx5JrUYeiJpIBVuMXnjV0W77mhOpbqDXEOrJAOrRFVRAifh5jU3r7m56L/E8j9034SiZGFFURhjNaXbchBCGOPrS2ONygQVf0IpDcPQcRzf96OKi8TMHUF5uY6KjrV3twUF9LYPO/v7issMluMI5UofOk6SUVutWeJv65LrwzCMROGogmVDK5Z/OO/EnASXoP/6k/MLmSyltM4fcmlixmXrtJ19xdkEN3/G2PdPz5R/XqDihdCwsCJK4oAW7FHdDtHfrwd3HRje+E43i2TS2JWsqEO6BOYdigEog1kPVyn3yhj7t7PeF4+7P53Ar8wGZ/PCYGI1fvDkJPn6ae+Lx91vnPEQQslk0jCMn474+lpjoohWFQOs9iOaCBjjqL2pAry+W1iJTLSr8RX83j0s3d3qHzTcj+xTHjqoMsYEQVAUBSEkiqJpmm/esfTCcHyBPXrCi6QuXdcjyxdCyEMHlTAMayq0kTOJ53mWab5rB3x8n/yOHYKAWJO4pm0/n6mmuJ3Oiz8eDY/NhaqIkjLOeDCsL7V8pY76hLHMLqwpG3tXf1u5Bm24i5Vq8yrE/70kqeLdUYUbdeYKZ+McPnzYdd3FxRo1jS3Lsm173759DRUv5XA4HA6Hw7kx4C9Am0lTskw6qTAEQmUKHWKUIizQGC2DIVxnNs9wb9c9HdpOZBnWgmFnm+3MIdkblgJXvfaOnJwNsm9HT5dfY2yzCqNHekrdwwU1gZMtQrJFSKaj/3AyLSTTkp7qALe4jUmStI5Sb5qmhWFYRcfZnlR3iF7BNM29LNcBDUwmiCXYBgbZWwfG+JBS7XzmcUyqaQB4Aeu6ricSiSqWKYqi1Kz7t25WRGfDMAqFirNJYvF9vzjYo+v6dy7EJziHDP39r6/U/ytemqvR3sTKQRG6rhJwJVy4PLJIa0RAJ0P1MtGzSOtNKdutrNYfHu6s8u13LvjR6fvR5SCICY0sgQUhWi5g6IVZ+ux0+IvpeCHyNxNh5NQ8WqD/eMJ79IQ3ZTEAQAgZhoEQ8ggDgBVXn7ECe3pWXGk8VghR/4kxvmTiWPuL71wMdF2PVvnicRchRAB/5aT79TPhF4+7rqATQhJrV0QILTphVJTVtm3XMusxHy++lJ7n2ZZpgPvRvUqPIRhiY+rti3Pk2xf8BwelQsDGnaXXzmywzvfP87Nrbk+M8e8NdAyDVVxpWQribxyNeG8aSLem0wNsnRMLOJxY3vCGN0xPTz/++ONVXtcZY08//fT58+fvvvvu7dZVcjgcDofD4VwFuAC9mQwNDhT/WSUPlJXlPjCEoXLd9jrdQgEAY9zb0X7rcP+tQ72Hh/rSLS0Xworj6i53IfbzOiU5zlVm/0DvYTVAdfhB35wgklQqGxEpvphhm7uwKYmlvu8LgnAD5/XYtt3Jaunyy4NPocJluuGHnT0d7TvCipESR4hvhBNMRQiZpllJnFUUpaQg4eYSWXCoqrqO0Ivv+4QQTVvySjKrumt86paWOu+RkJAMqSH+Vpo3s1k8mW2gAuoL89tu6kNLc/M7B2uExKIb8t/P+cV25MW4Yb166+ns6l0fnYtZm+i6ft5Wo/qBcw6DtbGB0QKNROdCwF6ZI1RUJEkKguD+PvG9e9TyzsIj8OgJ75vnyLfOugDwxePuV095AYXoGL970f/XC2GPRvsTq9dC1/V/uxBOWMwwjFjL8jphjNmWebjJf9dww3VxGaMzFvnIXtmn6G39GwpS5uyY16HBns439DXf267e0668sVO7Zd+umxVXKoroK8Q/IrtvGmqPzvZNg73NoQkAiFGRhjLx1dDVAzsVmLhsDodE/C5nvrvC+xKHAwCPPPLIgw8++KlPfeozn/lM7OyxIAg+97nPfeADH3jjG9/4V3/1Vzf8mwCHw+FwOBxOOXw64WZCCAmCYEX4q/f9kjEMjCKcJG6hQhJWEFZWkWtRxYF6Wm2N/dy0rPQGhqnFrCSD8LftTaG1pfm+FrAs6/TsYkFJlafYCyS4s11TyopeMsYAxwz7RRralhVN3zYMwzTNyCq0oaNSFCWqPRiG4Q0sQAOAbdtHDHyMNVUsCrd8RUjc2QYA4aqcH8bYNbzj9g/2J8bGzkBZ+6ycGpYO8hfV1p1JZBYKAKCqquu6kejseV7UjdRTG3DdEEIis4L1JVlHBuKJRCIIgsdGKirQH94r93V31LnNY2cuANQoeiYBbRN8CmiGNKwJ1iSXyzWURm0zgVK63XqAuw7uPD53dtSq+EO5vKIPAAAgAElEQVSiRkkBHr9C3tKnljeAC7n1C+vPz5DnZwgAvL0n/OfTTnm/IS07UVgBA4DHR8O395DIlwMhVOmG8SmUbwoBY4CsAC4E+KbmcMzGAPDoCU8V4J5e8efjIYx7USnFIAhqTquqFOxhjIWO+dB+4yunKwWqWcmxPbRfDsNQFHEQBCkZPT5GBnUyYtWQoUXEwqICjAjYO3vDV6wEk+JXRAhJ0urbTn9XZ3/ljSOE2qntik3FeRgEgADIAAIJ2s0ZV1AWjXYAAFFdVFS4pp0qZ1vBGPvpT39a8uHHP/7xl19++W/+5m8+//nPf/KTn7z77rvT6TQAZLPZF1544Utf+pLjOG1tbZ/61Keee+65t7zlLdutq+RwOBwOh8PZargAvZkIgvDkjH2rAenmFFSWXDuIOSsUmXUgFA3yK6nPwJih11sUq4T1iSmbkmaYN81zU/OzckskQjUF5s4mpastzYdwG0fX9duGdACYnJ5xHCfEogtCggVdbemk0Ry7CkKROlEmWNMQAAghkbpnGAZjrP7CgxjjRCJhmuZKkv4Nnz5vmuZhnV0BfRHqMmcvQS7LTN9EgjA8Ozo+iY1AkDCj7X5ub3dbsu6SepvIQH//AMCl0dEZpjpI1FjYK5H+3u5fnZ/KiaV5pogxpOkAMCY0tWJL0zSEkK7rUU60KIqyLK8jMbkhEEKu69ZjTVAJQojneYIkv7HTs4MYda9Vwwd3D9a5NcbYUaeS+rwq8GGMdqfEpzNb4nvz1MgiQGORyJAQefupKg/ft/e//OhczcUmTPrTMfS2HVpJBI5sRmL3vAtmWNr9YsR+r51Grc4KAABaFKQoCkLrOYesSPbNFxlcuAR+M7HUsKNE7CZZfO8uJfCcKnNfqr8GmKb50IHk+Wz4m6nSLWCAN3UGP5+RVv5ECHmedyaPDqalnO8DQKQ+I2CGCIUQAYCIWUgRACAAVWAiAk1kIYV2hfUb9KST8Cj+bQEAQIy7udbBuFYxFEQEaTrVV/KhGjZcFIFzo8IYe/DBByvdI77vf+ELX/jCF75Q/tX8/PxHP/pRAAiCgAvQHA6Hw+FwXmtwAXozQQhJJHjRUva5M/1dFa0n16jPdSDQcN2ibcGyALRG19q4YvX8hSvzcjMoqzbEecl42QH18tzre1ORGSVn4/RUbmbl4NCnZS4cnqimdN1cNr11Xbd+E2dRFBVF2dK81O2JZVndcjAgy4AQZXCFabn6xGiVeKIYHyHYOJcnpk8RDaSW6E+K8IzSMpMhLdPjdw33XJOx7vDAQElNuvt2df3ocjZERW2MsW6wLLEZAHwkRmnIxS7MjLGtVp8jNh4bwxh/5zL54z36l0/FuAR8/EADXfH5yyMA8f0kWk7aBQCPoqeqVoFbN5TSqbDhYInvB1saYlk3f7ADvn+l9mKTFvvxKHlwMLHS5BBCAV2/4jmo0xELA8ALy5fpcDM5lcMyBpsgylCLJnqeJ8vysdEAAC7m6OE20QtpX5M4YRJZAH9d9kijFtZFZpVJ3hF5H75yyutOCA8MaCyIj7vUrjzBWKQ+9xtozFxdmAH8fEb65AHlH0+5CkZ/vEeyLAsp+gtX/BdmVn/Me4al714KCst7jtRnXWC9KWk+FAHgNsN81jTmAObWxkNNIhw9P7a7M5Vqaqp5HiqRy+VZgyq/wQVoThGGYVxf9ZY5HA6Hw+Fwrjk8/L7JNAUmAJwhiYXsIgCknOzGt6nQqpaiVUnqpVYMS1QdW25QIH7y0sy8HK+yuaL6xLRrWldDTuKUIHvxSnGIVgWsMAzrNxyXZbn+XOkbDN/3TdM0CwXbLAyietvzgLJV49WTl0ZOkXh9MysnfzU6X2ch060GY3x/t1bc/+wIs5bWDACI0WRgWbi089kUg/KaUErLbdMbRVEUjwCpcKpTerzFcCyv5is+nROorhOCYENXfHJ6ppLPzG3yYhuO7yW87ToB4raDu3DVE/Lpm5ZmIE3b7NgCwxhHPhiiKF7O0cPNRKjoh1EFFqnPxby6KIQMaSLr0SgAtBsyYwxjTJbPdquKOg0BAFIy+theCQCapJhdp2WWivt8BRGBIa7+ri4N3je0ZoEpm339tHfeFItLaEYghGqKa5RBn44A4E39UrdKb26Fe3vE+/vEoSbhtnYEAA8OSB/aIzuOgzEunxOgiaWtq1cjqaQSqc8AbCGMj6wQQL+bg6+dyP3zC5fzhXWGP7O5XKOrtOgNx/I5NyoY41wuV9gAosgTgDgcDofD4bzm4AL0JtPdspSS87KFGGN7Ols2vs3d+vqnV5cPLCM0WlFkVLwNSYrHRiYsseo4DaGn5gOeOXL16UzGX5cQC+uT3urPlb6xMU2zBWrrbojRXd0NZKzXz9T0zIhYratxBeV3Fye2YtfrQE8kbtWW+p9+by6X7AAAJXBUzHwtyShhjCmKommasowsy5IkiaK4pYP2jbfnjMfeMSB9tYI3biLRgICVq6C+AYDDio+zogTJoLaGWIVjCxWb9FG/OUvjewxN3aazWzDG/8ud7VUW+OLxVbuqozOhqiVUVVNVVVVVCmzYoIkywRQAEMB9nWvSh982KOli8ffxLHh40sEA8LVTni3oP7lCk9LSwl866X3rjDtjkX8+63/5lH+kFUjcRc76kAuq5Oyz21rJh/YqK5GnP9ilpo2Y94Fnp2Mq1tYjQNuWeU97+OE98r+c8+c8fGunsiuF2wX39hZ/WPMLhUKC2rZlqlriZ1PCD0qN0ZmE6NsHVvd7VxtxpYRLV15K0Xm3RuWL+UD8+vHMYi5ffbFYFln8/aUEFdOc+zra1rEjDofD4XA4HA6HE8Ej8JtMW3MKpm0AYAifPH/p4O5hdWHOlRpIfCsBU9LWFl8qsCa5fOFonoqMCAhRcY0u4FTymwa4uWv901oppROoDvsOhJ4anb9vqN5iXJxNQZHEWJlUpoG3LqFqI4a5NxgdyM+yGm65N6u+IGxJzO+YK9YMJi7KybHJyf6enq04gEYZ6OmaujAehiTf1AUAhp0Nki16djJI95AgRBKilJZn4kcWGbqub1He/QbbM0KIUOhIVLwSJRYfU9MzE4vWrI9bZdqmCjsHB4q/jU1yRsAQwNrCgNVsQy6Oju0eGqiyQBXmg2pyPKnQ4KRtnNbX2Za+rW3u6HxdRitfPukhgP4EbTPgPQOgKMYHUwwh9IsrwUh+1ZKDAfx6Zs1PfrxyCcpymiSWD9BjF/1dKaSKaGw5ndch6LFL0XZQe0KatLxyMw1Woz4kemJabMp4ZgAAMJjEVTxnLy2G7WuvNsa4npkHhBDimO/uw0hO/NMZN6Dog7vUhIQjX6ZEIpEP0NfOxEYyEMa4Q6WaAA6Bt3UFz9s16m3GQgH92+nsw3cmG/XPyVcwTfIkDQAwDcurNyubVJmZw+FwOBwOh8N5bcIzoDcZrSjjeErvYIwdadOr+F3obk7xbUQJYjR2sT5vYX1HYtv2CwVgWAgE2cVSU26yuu1GhOKZxf4bjDFKaf2T9ydm5srL3MUfnqAevzha52Y5m0Kl8fO81gYYG40bf/MM6BXUeMFwGcaGSa6/u2srdj0xNU3KtJJYTnnbSEC5a1cf0ZsAoCM3Lkuiihhg7DKUT7ZRSoMgRsVjjDHGtq6K6QbTqxljLQoKKav0WM0t2wVcGBn7H0cnvj9OXjTVMV9+xVR/MS/9j6OT//zSlbOXr7iu+82XxmLlRQaI1pAd15Bx1i+phxV/RzXo9nB6qcTbbx6skjNeTkqTX9chBEFgmqZlWaZp3pX2HtovJopaioDg0zepYtWzVcn9I7+cwtypC9M2vbM15nr9YiyYc+u5FjG7yPsQieW3dYqSJEEF1+OX5kqToFVVrf+5TylVMA0oAoB/vRB+5bT/XFZ5Ylb52tnwu5cqyvH/ccH3ff9De+Tf64L1qc8RLsUXxqYJIZfHJ18+efbkhRHHcTboOFSuPiO2CRY9HA6Hw+FwOBzOa5ntm6x0nSIIgkj8UFgSep65Mvf6wc7BxakRKBtfMdpiL+SMDljOYUMATea8K6mhIAEDAIYAdu8cLl2xMgXTPD89b0kJxIAIIgiretN8skv1LCyIoVRtWqvA6InLY50pQ8T4Qs51lKXDTri5oWattblG/bRRm9RXjA0AYExqoZfGjgz317sCZ2OoqopyBSbEXKFCS38BoAOg/oqChmG8BssPViIMQxBYbDqqwMgh0RnoX2ciak0uOKzOjjwUpIVMtjW9Cb5Am0J3sGgmO4iS8AQlBMFtXsrOXpSTqutWSsCsJEBH2Z0bMZ2wbVvTNMdZf6mx0HcXwooqv2laHW2tT58aOe3E+1QUqPjrBYCFDMDmhHYsuk6xnjFGGlG6V8ibVnt6G8U5SlAU5d4e8enJ+ky0EdzdIxJCMMbF7cpxnI/uT06ZRMTw0iy5v18qFAof3a1IkvTbqXDBpj0GVkUkInh6MgSAt+4Qj82H02uN4hMCswk60kKOZQUAuJDxe1XmEAQACFit7OZSmmW26K+u8mBP8KPJNf18s4oopT+8HC8HZ12mqmps1KcmiURiMUDO2ukKV8za+q8ZgKKqAKCKwrv72I8nkb/ee/en4wEdn4wOBwCemJ03BPL+g+1Jo0INDAAZSL21DgAAQA944QoOh8PhcDjxYISEut/dCGMCYxANarYqr4bD2abwDOjNRy8qlW5LiVOjEzt7u/vImoo3im/LjETqczF5o81XDCoqVFKopBJJnZmdq2enjLGjlyefy0Mm0eZJCVdOBEKpCuDKCVuQjcJMle3YalNGaz3tK8ddaUV9BgBbTZ105edG56qPUevMxFxhQky9fHl8m5RHey1QcRSNECCU0Vrrrz/pb9dqY9cE3/eTEJ9t+o7B9EB/39bt2i6r2leFaXP96uqmI2HsUDCNtlBeExWzRK1KO3Rdt+QTjLGmaYIgRP9fd2I+IYQQspEM6zAMew1cUUZD6MXzVyqpz/WQxvE3XZ9Yek4i1v2ARwhhqCYH7tbjNVzLiT+S7cObDw/WWU6QMvjyCefLp4LpQC1pFYVCwWC2SuzXt/mubQKA53mmaR5Jun+4S7m5FQ61CgNJ9D8fUro0dn6R3Nq85rkpInZ3O1EFFqnPAIAQ3tmmnc1jQ2xMfY5qDBarzwDQ3aJ/Yv+aF4AvnfB+PuLO2NV++LozfB+7FPywEeORiGGDHsvCpE1fyUsBZW/uWv9rQPm0AJMIX3k1k12sWGlQqzJnJe6FJCnwtxQOh8PhcDgxMGBuSOyA1vOfE1A3oE5AnYDaPrG9Gv9Ryt9AODcUXIDefDr1NWLKhNg0OjW9t7/3ZtUHRgEgZc0HciIsE4hjORVqxXXeGWOWZc8vZEpUmBdGpxeVurybM3o7eJbsr8dE1VP0Z+Y8p0wAWiFsPIo3JTSdvzK+joPhrIPeVDU78hCLoNTlV67rOjeALuGa2JEQQihuYM9z4Tbq8wcHdlT8TqgYygqCQNfXJDaqquo4ThAEUfIyQiiRWKftvu/7614XADDGR2fCRIVjp5S+mN/QLP4MjX9qjIfx81o6xPXfpBqqJkB3K/HfdrTUmCVzzREE4Z1D9V4FwhAAnMqEDk4YhiGXuRjFRk+/cY48esL79QT50glv2kGX8uzHy/nIMmavS5N7O8gT06JLVh+X0w48dtHDCN7cFUq44khDwnB7p4AR/OFOOUq0+fY5GwDEZUn9QIo+fEjBGH+9zHl51Iq/998xKH3ygAQAxdHl8pkEkUeToiglRtKu676+ax29CsthzfTJC1lxb5L9aBKP2+xNqfzthnV3uq789Hr41unFSl8lqzTvomCDupxP0N+y/toYnNcIvu8/+uij73vf+/bu3ZtIJFBV+BsUh8Ph3FDUrRJzOZnzGmcbiRE3DK1GqX5xjiRs22lNp+/vSabt+YLRXqdRMgAAQi/nlsZjZ0au/HKi8EyOvuLJv8mEvxzPnbg8BgAF08zLDVgo+pJmCqqRn65/lVUwfiEbVspZlln80FENq6XFXUApnk57dWhKJnU7W2WBRSWlaVrN7ViWtRGd7oaEbpk3cRUqDWI7WXymM0HbyLYbISR78S4ui6JeqWAaAIRhGGWkyrKMEFpZklJKCAnDih3UVeBQm/iuCvrmS4tXu4X093ave91E1ZTPpzLxv1GSrwOf3Nv3D+tiAy1kymLfveg/esL73ggwWRc146ItmyhhGEZ5un2hUPjQMPv4HnRfZ/jAjphYxIsZ4VczMZ8ThhyCvjcuBcvGKQP6GpH0zi7hoYPqLR1Sr46fuOITBgCw4GEA+NBe5f4eBACnchgAnp4I6kyXSUqoQyG2bZfcMuUGOJ7nJRL6ywtU1RKJRGLlh1NKd6Ww0aCd2+0diAJaCCUA2J1kb+tmkw5+Itf0gpnoTOAHlrOh0caGaQHDR89dif3K0Kp5kS3BmCsuPQ31RO3HIue1jGVZ73nPez796U9/+9vfPnfu3EasnDgcDofD4XBuVLgH9ObTnGqCxbUaH0Ivz+ZfP6ghhETcsAZBBfHU6GQWJEdOr/kcC9NKy/REQQldkBocHSGUMTrEwBMQYmKDlp0IPzc2f9eO9vJvUgIrxK3hCjVmnT85WXhgsLWxw+Csi/39XUfnnUrVqBgW7ESLFAQ8PadRQnYNBOhKdhMzUIe8sg0Y0sWzcUErW1SaVdW24x1jPM9LJpOMMdM0EUKb6EWuaVqkaK/PS5pSemGRHp2NuXfuaqMBIov1e+RvBsnk+mu7va5VeLyaXVMMGJh4nRQm/d/esue/Pn4+aPAi53z2rXMrsdIAAHYkxbcOaJRSz/NWRFvGWBRSHWwSHj4kAMCjJ7yP7FP+47zHGDx8SEEIPTXuD6WE56fDBZftSwuH24R/W90yPHxI8SkjFPZa4UBKAoCpvN+qwVjGlDHckUa/nUMf3pf41ajzupbwW6PS9y4GGqYA6OFDytGZ8HSm3iTiD+6VLdM0DAMhFP2/UCgIghAdvyRJiqL4vi9J0qzNfnwpAEAnsz4A7GuRDyfdSLa2bfv9u42vnK43ityrkovu6iQGESOBsXva4dczsBig74+zP+iDP+ylP55EG+9UX86w2+I+b29rhYlCvakAjOk84Mqpyuc///kf//jHAHDrrbf+yZ/8SV9fX/mEiWKqRFg5HA6Hw+FwblS4AL35iKIokICsLfVmSwnP8xRFaTX0+bixYZ+3MK5UVGAXQXIqScwIeY2qz8uEghQCpAuzZrLUjbo6vqyPjk8O9PWUfN6f0sbz8QdZfYMBlkbGJwb7ehs6DM46QAgd1OGkxSpdFEfUDFULzdhQwiqmafI6hCsoimLHm3BsbSquKIrA4i5lpUp9VY19rz5tra1nZ2NVZlTdyrlQWGqfscnOjY7tk8kkIcT3/ShtzTCMMAzLzaZrIggCiYvcYGCXQj3Ngi2tNCIBFREzcNgthxIGW9hQEKKvpxtmpmPralbiZsPfiIP25hIEwcTcQs60GLDetnRLU5Morr7wIIQ+89Zd//LMhcomDXVxpUAfPRFVs8M9ujicwhMW3ZcMe5sNSsiUzbo0QAg/OCQxz/r4AcPzlkrf3drs67rev1uJ4ijgw6cOJARBiCIfCCEZgw8wkJIyHpszw/4mSZZQb7MQfdtdcL543AVA5/MSAJgBMwEBwJdOeA31OMfnSZOsvToVnsmQKKX64UMGY8yyrOgcUkpVVcUYz5pW8RvjmSy5o11dSfMkhIgIwuV9v6nDfykrvWe3+o+nYkr9TbhCp8KCZXH5e+Po7d0gYrivE743DhTQ98bhXT0sYOjNXcwN4TfzK40qvtBrFRyK/5/fjSWF8I/2t6WaVuMxCKFmL7+opqqtjFCzvbCYaNVDe/s0bM725Ac/+IEoin/7t3/7yCOP8NbC4XA4HA6HEwsXoLcElQaWUJrpdvLK5K27h1qbm2AhplxPFfUZADZLxlJ9y5VL68JLZD32F1dw0w7GSt6zW5qbUW6RxWXX9oANlCZReBbFm4SeIfoOSnlWyFUgkUgcBPt0zqdSfGb6XKKtJfBXtJJKOI6jquo6dLobD0EQY+9RPXS3eiyqUd+pNcNghTTeNH/VTaF8pn9Ea5Cv2fyq0KgFB2OsONvaNE2Msa7rkQxXP4SQTkOBTKkGfX8nedWDDJF6FG+WrL8IYTGtgm8ItEkChrEtqDZWVqIOs8vLhGFYrLo2BMb4iO4dsxpQsQ8Nrt/xYxMJguDYlemc1gJggGEAwIIL4Dg7kT3Y07myGMb4I6/f47rexOz8WM5XRQoCDrHoCkqAxSiqk3YXT894FwuVXZmLmLTopEUB4HIOw7gnYdiRxE1dUtYjvQZGoENk2k4pBaxo+oUc8UMYSgmemGhWcFQiYtGHE/PhmexSoOiOlnDcE9+5Uy0UCqYHqqouBsJ3z7sMkCyyFbOOFYqPs0VmbQrLeLDgV3yqPjdd2lafmgjf0LvaZgghtm27gnY0U9qQPIYRQtG95jjOvT2JUxky4zAAeGJWxsDOZkIA0AS2KyVM2mzBXT26I5p51F6Vgx+fQrenqYgRBtYsQS6EH0zitMwkYFgs/o3r7EsLRPzaicX3DFr9PV0rH9423PuLyRoB1MVEKwD0addHXj/nGnLq1Kmurq4//dM/5eozh8PhcDgcTiW4AL0ltMvIKhuwLiTaAECRZSXIV8pZbs+MLLTsYIDY2ldYtEmWprHbYXQ9mhTDeHx6tr+7s+TzJPXyQsyvm4REK3Ynwai0QYrw8StTRwZ5EvTVIJFI3Kqx0+MzlhYXD0BYkqSaCiAhpB7D6BsehNBkBcuLJrp+FbVOesXwAqtX0+xJNOi3s8VUcnrBlG7EF74hA43YRH5KqeM4kSNHJSeQWHr0GLFvNFhuHg1WshaBUkC0THfbr9hZo80DmKu6+qlLo4f37Gxoj8XcuW/o9Ivjfn31NW8yfFXZHG19I2Sziy/ZAmgtpV8gdBF0e3TiwMCaR4yqKjt39DZnMs+apT+TAcxr6fZB6KbhzNjcuXxjwdGAwsUcvZhb7QH2tmArEMfNpQh0WkWGBAGF52dW7oI1wWldhL2diYNAAEDX9SsF9vPTPmVLC5erXC0y6zfYrTvSXS3JIAj+7cWJ0xkAgCPpcNYXAgY7NBICOpWrdkHPZsnvdYuCamgSQgCEkDOL7LmZEJWFwf/9fPCxvdrK3dGtBAMD8lfPBHd0igGhSeQ9NY0MkZkh6tHRTW3Cty/43rJi/rNpMV1U1Y8BPJ9ZOr0pmbUoTGJkVwqfK6ADVXOUG+K7I/5/avNXjBEQQlpgO1Itbw3GutLbvbQm55ojSZIkSSUFcjkcDofD4XA4xXABektIq9JIXAGSfD7f1NS0M4FOxeRAAwDMpQfjJ9RvUga0o8Tov0Rc50ztKR/6yz480Cw/W8G8wWMYEAAwmREfxbS9KUgcWd+hcBoHIbSvt+OlOYuVZesDwIKa1l23phN0lARNl+XCRCJBCKmpXK/kzd0Y6LpxgcULu92pLR+O7uzuuDBh1mNmihltb2/b6uNpCFmWAWL6yoKo6UK+Un50TTYlBy3SoDHGkUEHxrgew5nyho2B5elSdzcZyJ2yv0CXWosIVEHUYhUfxAygXH1OC0FWr8sxf1JoOlzPcpX56JGu7xyfXKQ1rKtTOLhzd/nT4GqTyWZftsUq98KUlOrIZNvSpfL0sRyBypYvIRZbd3Smzs7kgg1N0DmbXY2LCAjePSR4nicILKVIP79S+k6QEOGP98q+73thGFD8T2dW4zFv2YHfcGQ3IRRjhBDCCAVBoKpqlO0+Ojbx6NMjM0V31bEMAqAAMG8hAOjSwk4dnawgQ7++nfzTWV8XWKsC//kth0+dOStRe3eCzbvgY9EKV88tBVj0QVnuzIMgkCTpj3bK57LhHV1S3hNgLjBDhBH8bCxkgNZq5uhIwj5mx4i/ly30pk6QSICYNO2gAyncIrFssClZpejJs5MP3DS48vf+JvmlWrXiBEaaNuClznmNsHfv3rm5uSAIqls/czgcDofD4byW4QL0ltDT3fXSxbnyYfCVicn8nJlAoQqBq1UY0sQOnrdSrXPqEKANc9Y0Sn2iy908ACDd0iLnFnwcI1iYSAaANuaJLJxGMVI4xcJ8JtOWTpd/xdkKMMYDYjDCYi4WwaKqqjUVN0IIIcQwDEmSACAIKoRWAADAMIxoFUEQbhjz6EQicYxVlCdaU1uuXIiiOEhyI2LtHL3dNA9Qlhl6TamkFLtYbpakdQvQ1f2jS6i+F0ppEASRz0w9phyUUglDcXW7O1rJJbL6MxMoXIAlhSIETKqWWSMQo3i2CKFVn8IeG+drCFEU339z/1MnL531KiaKSkDfd6TvmrsnhWH4si3UjMScKYT3lD1hnLgH1hoQPri383cnqmecNwBh8K3z4R/s1FDo9qhhu4bmnDVP+XcOy5ZlYYwDMfGd856MmU/R+3eLdxzeX3yqT509/4/HCiFFACBjCBmjtQr3TTto2oE2NUxr6NLavO87WslzGQEAVIE1i/R//dbLh1uZjOB4BqkCtKuhtbaK5mOXw4f26yuduW3bKcM4maFnst6H98qqAC6Jkv5jDunlBcAV5s/8ehYdaFKHFTassx9O1PX6g4CxOgw6LprogaI//SCYnLGBgYbJbtWdb4rxkFFotYcahxNx7733Pvroo2fPnr3pppuu9bFwOBwOh8PhbFO43+6WgBBSSFkSKGMjie6MqI8LqQVBa85NxoyrGGuyF9LZ8ZbcpGZlgjAICA0IdZC8jiRoxOqah+5LtQXocvUZAABhK25y+j1d1bI+55E6jQ1cYUx5PtPAbHfOxmlvTUtunBaMUF5pqlPIM03TsizLsnzfj/WcRQhFRgemaa7Urbox8LFUyZlUooGmbqgQXJ0cHB4QaI1cdTV0dw0NXIWDaRQhiPMQRwjk9fs52La9bu/jclzXjWIn9SRWO47zsb2yLoBGA98LfS+00ZqEuMuemr1zXx4AACAASURBVESrF6tcNUPANLSqiauoVB+XpdIHt1jr6m8EhNAbD+3cJcfftq2C/9DreoVrrT4zxl4am4G48gMleJJWYls/MTUVK1uXOFYxhB8c2syfaYfwrbO+pmmiJM87DABWLuwdXWKzgnXDmPDVfz/vE4Zub6f//Y8O3XXzwRX12XHc//N7L3/xZTNc9rXwKdRUn1eYd9G5LLyhI4xeLSTMbk2TlxZFBPCWzmAiT2/uUg+m0eksemEeAYBLYMxCLXLpS8VXT/ujnionDN0wDMOwbfsT++WP7ZN9wlwCCaHie8tigDuleG2XMDieQ49N4HEXv7MXbjOqvBWw32/KQ9x9FIvPcD6/NEXr4uiVH44Tn2EfcI5KR+3kyLRZ/ta0Q9zCm4tzw/DII4+0tbX9xV/8xdjY2I00wYvD4XA4HA5nE+EC9FYxJJYamKat+eI/J7QOxVpAK/7LjBnWQkDZgtIy09Qza3Tl1WZAS/JfKMpy0LCZbGwxwHIIXn+BHceNOSpVVXeGmeor7kDxiYT1l1PjbBZ7W+MDBq6oaYla/phllCdCKoqi6/oNk/K8AkIoYSTPsorhli60fhfjRnnrQFqunKmnEu/+obgY0jbAcHKxn8/KqSitfh0wxupPyK1/yTqtpSmlH9qr5JZNA1b8N1aQIMTLAUUBWDMO0PKfIlDRtcB1ViKOLivzJhZKNxjieLUdQwNe2NW5/6bhd/XitBCIQAGYBLRDDN47pL735m0R1fD9oKDU6xa8aK55+uSDeLVoJyrtsjJG+87kpp3SiEdPeF8+6TGAt/ShP9olA8BgEt/cLn7xuPulE96vxwMAEBG7bbizOBx45tKV//2x0/Mbrv/6ywl0dxvRRaYI6NWcuFMnxA+/P4pExAQB72+h4tr6i8OJ0nAIA3h+ln7zrP/V0/5XTvuiokUOS75j9WjUIXCkebW1lyCSGsnF8x5ijLUbsoRitoCA3d0GTxUam2VSsCwAOHN57JfzMd1Ly9r3NGBsRx+vS8GpTU9Pz5NPPnn58uXXve51n/3sZy9fvuz7PqkMF6k5HA6Hw+G8BuEWHFvFruHhM2tdOKaV0snvGblZ8MM0zTMseEjMqqsLYEroWl1Y862SVGXDWTRjK8g1SJ2pQxXWBdtxXNdljImSpMqyJEkY4z1DA3OXpvJSxZKDIxWqEW58zjinUTRNk+ZnA62p/KuM2pJwnJpO0MVEyc7RPyJHjiAISlyhG6oRt21J6MarLOakLcMO9rZftYNBCL1pR/qVK9NTuFQQ72fWTYPdm2KLvBXs6Gw/HpdcS5GgKEp1U5dKqKoahqEkSbIsRz+8Svyj5plZqVJYU6oWRVHTNMuyVkpRNcvMpqUK8mwgt4t+HuQB0T7vyNMMI6C7VA8wupSjuUAAgPuM/IkgXlENKsjN5XRSC6Aut+h66O7qfF/XZm1sk3l1YhbUep+Gczmzq231tGQIiq2zeAFilM3+/vTFU9lKkx7WDUbws3EG4APAfX3iv5xZkpYlxDoT8LE7drQW+VaPjE994fmF4tVLKgQ+MKRMLzrHs/HN9S2D8s9GVmNjT0+h+/voiInTUnh0bsmpuUnBlNJsKNvhmhtwNF/jh3zzXAAAQzqZcCTGIC2zgQRFAK8sxjTak4uoLcXCqlnbj03g/U0Il9dABBAQLPpQ3cSmHMaY7Ti/ycTH3cccUS96N8GMKtugtCbnuqCtre29733v3/3d3332s5/97Gc/W33hIAg2cZoOh8PhcDgcznUBf/vZKhBCAiVkOVVNoGFsPjLBgu/448gYRKZnKCvDWlqWlexIpXaJm6I+V6eJ2HmhWg7sqaxrmQIsDd8ZgAfgJYi7SyXry66nWGCMbVux7EblQGfzsXyMKBxiqR4n6GIKhaUJzoZhuK4bW2/wBsj90XX9Eqt2a3RQW5avquEyxvjWwR4/CGYzi7O2hwF1GEpHS7Mo1psZek04lzEhLvgBG6gl6DiOIAiMsciyWdM0TdNEUbRtu9zxuf74ShiGgiBEJubF20kmk2EYYow9zysUChjjbH4px7ZfhywAABxooqfyq53iXCjdnsg/Yy5pXQzgvKvslKxcsJSV+es5ua1CB+/VNCxeZiDV8AyG65R83eozlAXAGgrBEiQ8ck/3L05NvZLZzIcULeoRv3raT0kMA3pwSH7jrftWPh+5MjaWdc/P2a/Orzl+EcGnb9FnLdKewL8a9e4fVAEgDBXIxgRv7u2XBVx65L+ZBJ/SS0Xn4a3Dqm1bA006wJqNjNuoWWcuqfHbL1sCAGiYNUnsaFZ8YIf8ymL4if3y1077xV0/BTQku+e9Ne82rVKYCcTixU7n43cXMnQ6Dztk74rfgEasqupPzs4xiL+JMkQsjuD1+lmA7Rp14WwnHMe5/fbbT506da0PhMPhcDgcDmf7wgXoLaTXz1zRlqa9a75ti/E5v0gUgaARZmh5s1UVHDleMnBFTSIhKZt8vXE67TlJlmeVmNJ/Jq7mYJsozMauZQvqqwFUGN9xtiOSJMn2rJ+IUSpnEx0dVRNIK2FZlqZpsY7PjuPUU89tW4OwySrejIix2weujWwhS1JfZ3vfNdl348zNzXsV1GeoVR6wOivrrjRChJCmabZtA4AortbYrD8fXxTFyBUkasAr+nihUCgOtDDGfjaBo4zNVELIhgAAOw04VZQ9ekC1jtvFuhszBHost6bTRLbZmZSmyRpxDQML654m0tHeVueS1zWFQqGhlGS6NplWRTTeBSaOfZLXnGp9391N7w7DXME6dnlq0oZZB2X9OJOIRtAEdmcbybowWoAgREkBnhhxBHT6zkO7njtx/ocXPLfC3fDRQxoAJJgDoJ/PklbFPtKd2JMWNIE8OUGtAACgU4MZBx46pGQ8ePxiqXGWX3YHNEnMDuByPgQAEa1JUr4jHT41V9fT3aEoUqJnXPSRPfI3z/rlp8gPSz+zqfiHfeyx8XoDA7tb5MUFmg/XhLwxMFph9YmFXIZUFKwJ4IRXsJWl5PdDe3fXcwwczl//9V9H6vOdd975gQ98oLW1tXoJjWtetZXD4XA4HA7n6sMF6C3k8MEDVy5FfoLMRBUHbI6oAQEAcJA07rF2N4P0JBFilg8YCJSwDVg2l2N4+Zt2DzPG8lfmXKVUIqeVXaRTuckJdfMdBiTi8/Tnqw9CaE9704k4QRhRQuqe8l9MdR/eMAwrydPXBbmqnedemhWEq5r+fJ1yIZRi3Q8AQKSkxLllfaz0J4wx27YVRZFlmTEWhmGkGsuy7PvV3LqjLUSNeSXBvyRvujipnzG2o0nIuCEArJTF+/nM0mH0qswLgldtDQC1isFCGHX1SAj8aCrJvR3s6VkEAHO+MLdA9hoFU0p4y07QBq43X3soWADY8lky24GpmVlIdJZ+ypjGAgfL5csba00VumQ0U99JFRjZ0dMd/VsUxdaW1P0tq0E7xlgQBK+cufTkNFpxAK8TCQMNyS/GS9f6j7Puf5w9UX3dr59wEMDHD2nfPecSBi/MsEMdxLbtVgk+vE/FghhS9vJM8N79iu36PYbk1Qq4/KdbEpZpAsC+Vvn5Sd9c+1temWtYaX98tKKRTkBLt+YQeGy8gZrLT8yg8vADXXIlianweTRfQz0PXQ+WBGjGTRI4dfKTn/xEEITPfe5zjzzyyLU+Fg6Hw+FwOJxtCn+33kIQQohShpDiFPJyRTdkT5AF5pCleoNoDiXAJjtoxjXSBIvFLtKABQLQXpjOGB11FhiMRSChxEKJhkO62NHTEx3qnmbl1XrEQMaMxclpvdPUtqSm2ZDMK85fGzRNk+dnfK00CZoJ4oLW2sGIuSy91U9khhub6ex5HkJI1/UoI/X6MuXQNO1EZf8NgdE9O4ev5vFcp1BKaVykLaLNz7kbyIBeoSSg5Xneiq4dOTWbphm5lodh6LoxZd2ixikIQp3zADDGk4Xlfmw5vdol6J3d9GgWdWlwxsORNNYikkiAHla8V7OCiNgf75bDMMRzbFmXQ2dNEcC/u8UfYckAcKtI6+mnBUpu2v1aaYSeEKMyA0JChV6lr33NxJ3uzo5j4wWoGfhk7GY1rBIfRQjJsnzH4X13HF5Zg42OT744aY8WaCGAgMasK2Omi4wRNh8iANAERhiSBWRWKI1YDmXsg/s0RcTv3q1EBlYrXW7UnhFCNzWjIMAJVaaUqgJUSqYGgE4de8t3AWPMKlPSZ13cl6Lz3ubkb8b+yCq5zwhYi0h2aV5IAQEUiDDmS/2yb4jsJTMhIRowvLpsGX2yPw8xZWOTIiuES8tPe0LUPrrtWYBtWruVs904c+ZMV1fXpz/96Wt9IBwOh8PhcDjbFy5Aby1dfsYMYV6N8akopg3cmbWDois4BTYBCIcFJ5dYs/qc3imHAUbMF9dZG+febqM4r4cxdmp0YhwSTUGOJlKxydcraObctF6Wa7ZZMDbY+ZqYM749GW7Rz8TobwAAs4mONkIisbghqug1kUWvJEmiKIqiWGhc4L76aJrGGPMFuUqG3gO9FaNN25xcPn96OpMDOQTcBMHOFq2rNb11M4Unp2eggj91r7vg2pvj0FKlBa44RJumGamH5ctEVuYAQCnFGNfp18EQBqAAkHfJihnRD6cwADQx+74u5bEJBoAuuUqP5CssfDUrAoAmsEgEv6NdfXZ2TQt7JisDeG9u9wVdp0F2XkhWKUWIGLuvU3ntTCVZrFCowMTxj8iSsnKCIKjUd4Uaz9MDqNDV2d/QgSGEBvt7B/sBACilX37q/Ki1dFF2JGibTI8tgB0guyjR3yEIAPyyvOAq/OktehAEplmxc2aMMcZc1yWEXCoIVdRnAMCISZIcJfhTGn8c4zny+m76YnYTXiCZKEHddUb3as55R5kPhPlgzRU/46gapgBQpD7H702X8Xzc7op/Z55KHSQIBemmPXvqPTLOax5BEGRZTiZjKpdevxBCgiDIZrPX+kCqsfJQzuVyN8BTz3Gc2ED4dcTKFYnerK7twWwQSiljbJvfAvWz/W/nOsnnaxVEvur4lNVv6AfAWAMTvaDCu1ilTTewcEjCjTcJSqnrutXnkm5/Vi6fbdvbeX52lETVSGPbjnABems5MDz44yvxvSQCtpLmo4gY4seESKIxoyVfkABYyskWtIan+aecrCiuGUU/fXnGFJsAIKs0A4FOe9ZKxmf9yJ45t6V11RC6MDm7b0fPFu6CU5mkYRjZKbNCo3KUJHbdhro8hFAQ1FAXgiCIljEMgxCynTt9AEAIeVg+zypKzAcFS5avP98DQshTF6czWAO85MjsgjybA2Exc1czdG2NlXAuZLGPIJkGvutsxADaMIzoDYyx2m+E0ZKVxGWEUCTGRZYy9bR/RVEW3SVNMeevccPvEv3Tjpr2IErPVDE9l4PoQZwQYUeCEgKMsV0p4dnZmLkgfrLZUYxohVY7k8EJP64gYRN1npn2AVkaDfaltbbW1prHfF3DGhniNnl5jEvv3zs79CcXqk2+GSD5oaHG1OcSMMYP37f3//rF2XaF2j67lEOXGvGtrsR7diuOU9fNIoqiLMu/HqvRwf7BTmUl0IgQqpAujX47BXd1Bq/kNlTq4aZmMhFUqzNRTKsYnrbXLKwg6i0rzg7FaTFcJNXead/RA79aKC3mHGGtLauoeqbMQlnm4XBOvezevTubzYZhGNUJuDFACGGMSyJ22w3HcaKHuCzL17WzNmMsqp98vTehlbd6SZKqO6FvfzzPo5Ru81ugHqLH+va/nWtCKSWESJK07W52QhEKKkzrKgehJaOwepfeIjDaaJOI8huiEOxmHdU1YaXjirLirvXhVOT6mjJeie17fm8MNFWVybwfN0HYgNAEMdKgc5IBywNIAdhuxb/kSz7DAIBopYElyinNbeZsxigTixkTaBibyJxysrcNr6lPdvLSqCmuERxnlLTk2M3McxIlQiSzCYC4tdHsS2B05XLNqfi8SM5Ws7e386U5i8U1Hks2OhJWQ9UIo/ngdS4cbdkwDN/3EUKb4v+76QiCcJ5WVJ/Toblz8Hqp/7eK7/uPj+YCHCPNEIR/m4OD9sS+gd5N329BjEtcZazdzVq14hbVqVOSi3BdN5lMEkLKo/cY45XtRG7RJdbPsYThamG1aRva9SUvWgRsLhAYoN/ML307JLuzy/r0e4clQkXbqlgXsVcNnSKb/lwiLTDW7ubySPHWOh3nljOCbaz8Ng+p7NQbhju33cv65qFQP4h14YjjUHfMhCRD1+/ys88WYk6RRIM7W5VUckPq8+rem9kT49BQycQqpGTUoQu2VbupS5KUcenPztdQn2/plIqT7xBCIopxUo54dgallWBfGr20rlRoEbFZFi8Hx5ILS6+OLlAvxMtDONQk0MXKZ2JACXYODP1qYbqefVHfTxja9Z67x7ma3HPPPV/72tfOnTt38ODBa30smwbGWBCERKKi4dg1J9I+ogG5pmnXtdxJKXUcR5ZlTWugY9yG2LYd6ThRyY1rfTgbghBCCNnOt0CdRAL0Nr+d64EQ4rruNrzZcUgQsuvXlBuiobeRhhbGGG+wSVBKPc+TJOl6b1qWZUUdlyzLqlpvbsTVp7gu0fXL9X302x+E0G4tvjMqgLSSAU2xkGRLchsBSIv09oR3i+pC5UruEfOJdsWzSvs7hCrZaPQk1ZKO6YoQI/UGgjwnJrGZlQJHCD0cepgEemHOFa/GDfnMYkPTWDibCcZ4p7IJxrsrNDqGN00zCALf96/Hqay7m6/LYcMvRrMBqvYmdzLQFjKbP2svtptCwDYYe6jfKGOFQqFg23a5uCyKolvkh+s4TmQbXfMAVuLTHkU75aUtDMuut9Yi4HhuSbl714DAGIvU52hf5bfNYG/Z1ASETK0ZK2oHNRGr+JNzgvazS/M3Rsw8llRQr1tLs1/QKrxWtra0vLVH73QzK89TmXj7kPnAQGtq8/qiJ8bXcxWSEnvoJq3HKH1h+/BBbaXNVEdRlK4m7ROHa7Teu3qklXsHIfTyTGCG1TrwjId+NwViGBxINfzUuK+T1nLMWKVb8v2yeyITirrA3tVNI4l8xJM0RHarMbPXmwTyrlsG6z/1Y568fwtCbpwbmL/8y7/UNO3P//zPZ2dnb+DOlsPhcDgcDmcjcAF6y9nV1512Flb+FCFOJmCsE69oLuh3lvZbSwOAuxIuQ4CiGeKUQNxLrSMlICSI1TX8m8utGawWCoUqxQzzcjLLpBwV8lTIEzSj1HCyrolAQzHOUaQEhvCpS6Mb3Bdn3bQ0NxuFudivaFWZMpZ1xOgix9JCobANI5BVBpYSDTrbrj+vgzOjEw6qPd/zyQzd3EH15NRU7KSyptCtJ8u4CoIgbNahRqkBK0GUyNCjZkylpM2fmQ8BGACbCFYTRRGwZubYyxP/kxJUn1vQIlFfrhDeQKggJ6uXpfUE+aVzl6sf9vXL7qHBehaTSPC6we4qC4iieNueoQd3ND+4I/XgjtQDQx07+3s3Kw2WMfbyibOxXxnianPFRXtDAB/bTf/zrfrHbjIQ8R8cEpWiVONPHVZj67vGMl4gGNf+ISW33qJH/2io9q1khuilGdYmBJ1q7fcQDOzWFvLOnuAlu3YsJ8LA4YQf30c1yeiXc6tPJYvis47SJ6+ZytAqhh+/YwBjXH+3kBTpNnz6cLYznZ2djz/++NmzZ2+//fbPfOYzp06dKhQKTmW4SM3hcDgcDuc1CBegtxxJkuwQp51M9GcPFM2BZSwROu32vE/ZmJxOi6SfFdBy+tXLrvqsrSEGO1gBACgWVvWatcluFAuGnavnYPLymkwuy9nMShd6YPWakwCghPEJjASLYZxjaTlX5OtPyLuR2F/B7XRea60nA7SYjcg329CDqcqg8XDi+kvbp5SerM+DlQG6PDa+ibseo/GmY8lwo7UHNz4vTxAEwzASiYTruqZp6rpuGEbU8utMgt7dstp0Zxy4STGHRWun5Pz/7L13kGVXfe/7Wzunk7r7dM7d0zOjiQozCqCECUIEgTE2cM3VNRdkcLkK4/dcLvv51TMWFA/7VeHwTLR5vr4GGxcGW2CiQAJdMRIIjWYkTZ7pnMPp7rPD2Wmt98fu6T59zt4ndZ5Zn5o/enZce5+10/f3W9/fLZJ5QDIPCEbWdMaslXbKDAkNLuZzOF5KlNec8mmwY0LdjTqyhGVZIeKhswrC/mvbdsbZiRDy4vlrf/wfF752Jfz852cZr1aaeaAFf+ioGIvFPM/LZrOu6+ZyuQ8cWRnh2B5jGFJpTEiQtW9dsb98xvjOlVIWHHe28vmDDwghD3aK9Zr4Xwcq2suYgYYXyUHVrRdCDlPlyK1Jr1d2zZz/s0ny9WvokFyp3X9QYLCA4OVVQLi4V084nIRWJraJ3vtOdK+MWKz4YfSa7o2G2yk3G3/yJ39y2223jY6OjoyMfPKTnzx06FA8Hlei2UiRAwqFQqFQKJQ9yq7Td25I7ulr/sq5zCF/dkFLj8CaeCE4xiKnLF53fzdY0WBFieB6Z2kcNLJiGwrD18uCrVGU7LYkpxTHzAll/HfQerOODSo1vO+4rMAQP0iMNXjV4FUAkD3L5iq1tE/lMhkppOpdzralPV4qYU/DmUueUqTXIJSR6+sQqtAJmmGYvV4Vt0J47LU1N+10K6pmNrNYuR3tWVvq3aT9Gqbp8VuVYLgRYyxJkjiOs207v4cHf696wpSVcXO5HJOXVH4oSZ6Zj7yV1Yvo4S6+4DIhhDAI/Ly7NYmXqmzJYq+SaPL03HxLY7r8cnuQE43qs/NuVKEW0bXuaI7viGOa63r/45lLV5ari8MlBZKQWMdxVu1NAzzP++AxeckmpuPz/Dq/5ig0Tfu7MyYA5HwYWi7VdbsTHFmv46/68t/frP9kqqKzd3oeAWCRxWmJxAUQWeCAzNrMUBZO6ZB/t3luwouVK2msMP6AlHvRKHyxqRfh/kb4jzEYNhmRKdTHPYIEhGOM/6YuqbWlIJgaaWm9ioz85sbwOswUCoVCoVAoFAqlZqgAvR3UpZJxZvbVnKrY2S4VL0orul6OCSnOgBEzK6ZU7CmOMYNUhCodpocJKftxpXkGwJoAkUrEwTArPo5CAvU5bmc1T1/m4xzxF6QUACxKpbSSAkLVZwC4NDJ+dN9m6V2UqulNypfCpGOP5WfUxkYo4xgQgDEWBKFmDXoX1oDyPC/0rom2pu7EVjM8twRhLvCh+NUbsEQxv2wAE55HvPGIRc3dRhTFQPLb4PYVRTmXV+3NYiKfswkB3tzJWpZVYH3guq7A8FZehpwrlNLri+1xQ5lY1G9UAVqSpNtjzulljJmCXkp6iN7T2bwjN5PJ6dnPPj/n4up23abCm3sElmUdxynIceZ5PpvNahyX0vgKo4C2bd/ezD83Ud78qk5CoZv0PO/UTHXave3DmIFgZTBD+OFnXXREtIfs8NhMivMTjHPZFH7hSAJL/PUbGYgBADAAjTLc3YC+MVq4uomZt3cwrS3Nq1MIIf9+ZhSg/Biskw10aCClat75znf29PRUvvxeryBEoVAoFAqFUgNUgN4m7mnmvzdBTMKe19l6azEek3Kc5F9PZOaw560XKVyGW5ISfbk5q+LfKMcrKWN+SW0osUydyA8OjwBATNMa6us4jgNCorLGKgEjdlFKLpIEALAEp83Zeamu2Zye0Fpr3mbAmFC/dG3qaIOSiBclgFO2nngsxo/NuHKoOolmlXS6Mg16I+i6LklSJVl+24bjODLnFV+VDsP5vr/bijKXZQ5Vl4ZsGEa1HiyhZGwXwgyNE66+cQG6tg97juMQQiVkyvzibKU35eSlmb6uDV5cCm/PQIK5rQ57nlegPsdiMdM0RRZWBegG3sfRKjYA2BW4eAPAEtrb9ehLk4zH79fwxOz8jG75DMf5TmNMbW6oY9mdKWe6vJz9q1NzlS/foZJRAwHAW/olgrHjOMVm6IHpc3GfKYHrukcb5K6EPKH7z4xGXlwnW3jTDI9Gcxzn4C0ZyDKecUApFKBbeMfFZDLHzsBKd01w/oK3rv/Xi0AI0Th0dwNEnePO1nXq89deGs/i8pcJAnK4v7uag6BQAADuuuuuu+66a6dbQaFQKBRKFVRXkGAXpoZR9iBUgN4m+ru7uIlrwTDpeV+YX/RvEaZnlBWnY299amHCM5Y4FQDGpIa0u1z5Xli/zEfpZSaxMlLbBhjPppwlFik+CukGDdbcnFxKy14laS8tigkA8IFhid9qTk0ozfvsmYwQm0PrRKau7OhwrAMAWvXJCa1UMSgAAISynPLsIknPjN7R107veNsMQuhQS/1Li+E9iiBmRmlMsQKyza0TiAkhu03SJYT0gvkqFAdFkGmaqy4NewUn7NoHgG42N+SHaNNL2c0RoL2Iinkxz9ramEYYkiSxLGuaZtDfQq05FUWpsOCbpmmff2lFyHuoAy7ixH4t+2p27TxrPHSo6PY0B0B0PUTyczEoirLorKWsdqnrnBMQwQUlBy22IreiGoqI7i0YhmlvSrfvAi8c3/f/76dGK/e3AYBRA92SIhcyiGPZbIQWXJuLt2VZ9bEYz8Az0cvc1sQZRhkf7QjKm1pE4RJ0WDbHHT7j8wDQI9lzOTRiFfbSRs4tEKC/M04eaUcZFwBgMsJKOj8Q9Z9nh7MRpvMFdIsuTU2lUCgUCoVywzOTzX3+6SsVLsyzzH97bQ9H35EoG4YK0NsEQui1cfPpZVVG2CIsADrnxOo9HeIxQKggBzlQnwNm+XirPrusVTRu2uOqSXBDKCMmBd+1SMgHZJj6TIBAcbp0oD4HG5xSmxutufrcAqcIkr4AWluQYY0IJgg5wspxlVef81o5KyR+MJx5fUdit2mRNzw8x7X7C2NsRAY6QhkphcREmp+zTDOqok4ul9M0reZcaYZhJEnCeKXcluuWH0i+1WQjBnHvRQ8OFkjozzbkh4s1mxUGctnwO9WmVMmrLpgPwHFc0D993/d9UmyO0AAAIABJREFUn2GYQG7O345pmjzPe56nqmpUoigAKIryz+dW9LB2lVzESQDAvACAAYjEol/r5TzPcxxb1yMrsI0b+JnJdT+LllDzd1mgPiuObq0P9TEE4zCJ30cMxrh0ojdlU/irJy/iynxRAlgEb+3EbfWxk825ragVmc1mOZZ97y1y0D8REI5B7vX9/Op+qUSvPj9X6q47kCCXlmrpTiJLkCSfzga1LnwBwSU9/I3UKvIwUTiEELyjHaaj1GcgqzryK9dGJ73y6nOC8+9KYU3bY0FECoVCoVAolBrIufjCVLbChUWOqfIDi0IJhwYxto/u7u7XarpF1lTUeSzEjUzZFSeEVNyYAwBEsORaiqOLbvhXlylq1bbKZ/k6N+TWI3qFyVCaozeb02liQcnbz4zcMKukhz1xRm4AgDZjss2a2Y90RMikWGNleZ/hfjCWte2bopzdrqKlqVHMlcrBD1Khrbo2NRYXhBBVsfKh4qFks9lcLuc4juu6uyQCsRQRt6tW99wNKDhKWgpXlDQlzDijevwIAXpTcg8dx6l8O4qiWNa62ynGWNd1URQ1Tcvv0oIgSJKk63qUPihJ0rUlvOSsdAMxuWKFP4fFOIcBUIOEdF3P5UopjAghvqjtmC1lHcA6RfdqP/wBkWOEbw0vPzG09NPL4wuLSyW2SdkIl4bGZ6wqNNm0zDx2XGlOKpZlISAbvGdG4ft+nCcxAQHAh46rHzi6UtmvXkJ1vB91++I47pmxdXeJgv55KcJhpjQISF+DuOpdTgDs6NvnNUuo49adE8MDQmA2h5+fD19NZVZCOJaVO5WJzLRggADAbXHnTWn3zqQPAK2tG3UPo1AoFAqFQqFQKKHQDOjtIxaLKZIEOnCAvevS/6Cr9BkLi2oZZXaCT7bYy4YUd8SVj0bBd1V72WAVh18bKV9blTBdTtZZiwv8ukRXmxMBQPYsi1uRnHQhpguxW8ii7bjLYhwAVpTosGQ6k5OBkEZzZpnXsmIcAJLO4qKYBADOd72SekooBDE/njJf34p4vup1KRvhSFv6pYl5r2Rsw2P4WSXNyH6DOVeQ7IwQikqO3oswDLMccdscWdSP7DW/8jTvL1aTbblZHiOIYBIW/gyUWZZleZ63bbs2Td9xnEqS7lmWFUUxKvEzMJaJxWKrntSGYcRiMYZhiuVjhJCiKP92KTdnrTT4SIrk7/5Y0n9mjnmglS07EkBRFI1hANZdMrhk6GWZLYwKmGwZa+8Mpz6TIS1zIyf7O8s0iFIxhBDDNHXD/J9nlyp3pXhjF9eT5ADg5VlvXwxjjLdIgAYA0zR/fZ8gCMKk7v/75ZW4xa8flEtcLJ7nfei49vnTa5eJm9f9NZ7obi3pz4eahWmniteVgqwbAvDNMbi7AdXzOHQ7WcxhjBmGeerSJEDI5SAgcpuQec6u6+BzDQIzbSOPoDZp7wURKbuEhYWF5eUqHPO6urroSBQKhUKhUCg3G1SA3lb6+nrl+SGVxfs199nFlTGhVx2lzlvmY6rHRH6PIUIMKZ4v9Xosv6TUA4DsWpKtZ+Q6lmDC1SjO6nKy3srM84UV51bV51XOoSSsDmYt+facshdnlMbVdOlFIQGEMICj1GcW+370GQAAgpjnxhbu7dkFBp83Ewih4631Z0emHDVVekmM2BmlMckKKGfY9oq6oarqZtUqzOVyiqKUGCq+DSCESIS0NOoJR0qu6/v+6OTUiMO4BBHEMAR3CH5XUzo0c3x76G9OX56I9IIogAu366gFRZ8niAGyei4RAiBAGJ5RVdV13VwuF/wBAISQ0A/1wDEjdPu6rpfVoCVJqtDWeZXi5GWO4yRJ+l9jzpVrVi6vLR1J7vzagA1yap57oJUtuzuE0MUlcma+MC3dibZ45nw3WzTXqywSOcnGz14ZPNrfU8nClBI4jvPtF4d+PrXaA8JvEQkeltb/tl0JtkMD0zRlWb6lDtn25ptvFOA4Dsuyg0srO/pvR0qpzwFLVqQgXpv6fLiZn3aqe/mcdtgG0cusd4Ke1e1pJzLWksvlCMC4F7IAB/jWuDdkJe9IeL9cEkfn4LUp7+wSPHh0oKpWUSirfPrTn/7zP//zypd3XZfj6CcYhUKhUCiUmwv69rOtcBzXwduXHHlucV0e9AIW4ssmn4zMLiQALHZDx63bvGzzMkOIbBtmrQI0AGTllOblLMz4TEW9ImEvs6LYTCwf0EVUqFxD4A1NyKpIzRLfZ7gWfXpcWxniKoKPAHKwopWUVp9XGsnKg+OTPW2VW0hTNgGE0LGulpevjebi5bzIEVqUUglAYK/ZAgiCsJpGukEsy4rFYtlspX5Vm47v+2mwZyFEEPQYznGcKDX5wrXhyyhOkJqf+Hveh/PjRhueur1vZxJRFUVW8aLBVFSe6yC3adL/NKs5YXcz1Z5etfk2DKN0gpgsyyXsLHzf1zQNruvXhJB8/bc2X/ICC3JN0757zR5eDjktF501H/9+Vj9FuHYV6XqZ/EqE0IhO3OIDijgPgmcbPkBERcdKGGSS+21bFCvqAJRQvv/CxafHcNnUWQSF6jMAPNwrBv3Qdd2tS3wuwLKsu1vV/XVsSmIss3wM5qXZdT2SLcjPr5JjzdxElepzgMbiTN4Zemc7eWVJhOgKuJeGRpd8DkApntXNmQle6HeXkYfuq1N+usD9LMO952CZCCuFQqFQKBQKhULZCFSA3m7uP9J/6ZfjDQKRGHJAc5+cW5GMlwnfjD13VfzNk24BABBSzcXlWLT8h5ApxeuMmQW1MWQmIaSCsX4OJ7EA6ezUlByykQKWxDgALCAxBStSI4f9/CTugkpZPsMhgse11mRucVFMAEIycZdQ1cLHeV9tpYrJTnCkt+OVwRErVkHfkJL1xPMs03VdhBDP85s1rpwQouu6LMsFvr3bhqqqV0GMu/oyH+JJYlq5UAH6pYtXRsTiqp4AAIDQOBufujb/cE/djgzIvatJ+dFseUGJIXhf93ar5KUtOEzT5DiO53mWZRmGCVTmYFbQ2Wzbdl03kKERQqIorhr4VJj7XMKsWdO0z78Ursh3awRfz4FNsc7P5yu1GuA4btXEIx8Ge7goLtigT48KDRU7PUSA0Omxubv62ja2lZsUQsiXnrpwrbJh96UV6m1TnwMMwxABKhCfQVXV85ctlNf+jSRpn2xjB60aw+Rtgjtqr91dn55BmZJhzRGLnQ5TnwGgQRN1PQsAqqr+NMMdjvmjBqmvowI0pXbe+973Hj9+PHSW7/vnzp179tlnT58+zfP8xz/+8fr6+k0peEChUCgUCoWyt6AC9HYjSeIBybmQE+t5/PLiulkN1sLkqnxcJEVNsZpSoEoXsaA2FirXAABQifq8tpFYc6MxOyekcGWJdZnr2aAlLESuN4MBgEUp2WROTytNWeAPwdIrkCgesBwDVyR+FvE2hGzz5dHpO6h16U5wuKdzeGx8RkyVTrpk9IVFYAVejkuS53mWZdWWcBoKIWQHqxEuIwEIhKrPAOCH6ZUjY+OR6vPqigz7g8HZN/akt1+DTiYS++ZHL2O15FLkDa3yJraNBz9UOxJFqSDLuDSe560qdwzDKIpCCPF9P/CP1jRNkqQgXx4hFJQQ3ITWA6iq+oUI9RkAeuMwCAAAnazxy3mm8hRlXhAwhAiRLLnesQjmsC94tmovj0ibY0a0UH0UkAIAhJD/61sXnFrlWAbgvx9TAqvx3Uwgk+Wr57XZJCMg97Rzl8zydkP9snPFClns58tS/ptCafUZAHwS5ZYEL2e5EwltyUPPzfMY4OUs9xsDm+NuT7lpOX78eJQAHRDI0Pfff/9XvvKVZ555hgrQFAqFQqFQbkLoC9AOcO/hHgAy7zIZj+nIG9X+irP+E4iQO7g1qwGP4SS3fMJSypjfeAsX1bTAQtxe2vimQplWmgDAR+wrkFxVnxHBsreS1poFfg5JCXBR2NfujJAskZlI2VK62ttuTQmCFdk32OW5QVe65ooXPNUhKEhVvmF+rxwpqbyHSbRn3UIj9VBsRjg7NF5jszbG0d6OToi8tyBCXpsgmlpaoa4OGYerzMOg1FxllGVZy7IMw8jlckEqtK7rq24thJBqP/g5jgu1jpEk6WKmlOWCwUoA0Mcs/3J+ZY8V9v5XFsIX1HJLMXOBtw2PoBzilnnVrb6OaxRuWJCPUpa/e/pizeozAHzgmJIz9W1OfK4BQkitmvMaDMBdbRWpzwBwNSJF2lt/tns1ckuI9dcKPCJZFHnjlYj79ILw8jIbbHIfrzemy8QIKZQNwrLskSNHnnjiibNnz37605+urcQuhUKhUCgUyp6GCtA7gCSKb2hwERCV8X2Gz9NY16tXCL3grZOkcZ6vLgAMeAvFG89oDapdhUMuwuGj7zHD5dRUnbvMkK2VDvnrqZAEMQU1D2dAikphyurVVQ+jbCIcxx3raOplTOQVynPId4fzij5ddKWgzI5lWYoSPhp6b9GASuXdcXzhmJKpmdkKRxIAwDBSrR3KiDzR3/HaBC4uM5jGxpvb1abNVmfSSrgUtQS8IEVWFSsNQqh0nMM0zarqPUpSSDq2pmnPT+GnR+zQVQAgKRALuLibfW6hOo1Y07Qz8yHtPxDzZ+WGjJSy+LUrKFeZbXdF7ITxy17nuy9cvrpUu3706wckx9obj7B50w/eTIRa3xYbJNKTFleTmpnrLzz9ETnHUQ99Auiouua8lOTRUsTNmEOkQUKhw6cCWhTmTWk38MnhAJ/sby97FBTKpnDHHXd0d3d/5zvfoQI0hUKhUCiUmxBqwbEz9Pf1PTk3ksHCkkMYIP71L64ea2pQbo5aa46Px/McNq6wydDFbK4KbYIwLADwnu2GraXLSQF7uS2ToBnsu3m1yFK5RZOTbK68AvXinPVgnI6Z3Unq6+rqCJmcnRsnClz3xNAzGZ9ds6ewCCuKoud5hJBcLqeqaoXeu6vIshwYbgRfa77v53K5HUwbZEskAxKiFYnsQ7oLTOVCJHp5bObkDtnLNKUb3t5ADNOcXswatlOvKelkXBDqtmJfaU05nwm/rZwnsT4+V5URR0C+B3QohJCq6mEWW45omvZ3Z02vqOH3NhNRZHUh5iLWQ2za159bKHy2XlnGzSUlPDMsFIiAxJrqi7u7Lmrg4k3RjtEWhxhvMEzT+tufDM1HBiDK8+4DkgK2v0fkJxns37lN/fxpg2eIg2vpb7ImLfsrXV9ksI0ZBggGdEsSXcmGnwQE4fYZV4y1e2mXCi8vkmL/LgSkVYZ5XOque8FgX9FXVmwWvDrq/kzZLkRRFEXx3LlzGGPqwkGhUCgUCuVmg7797Awcx91X5wEABuTn/Qov5tbGlLbZ87Jv9+Sm81eMZWdW/47KrPRYoV6fDp0VRaA+h/pdsP5GKt6XAa/YRhMgBAAyUrIS9RkALE76wVBIAjhlO0EItTam72hUGnPzQAieGZtjC82RF8mKEIAxrirlR1VVnucty9J1Xdd1wzAMw7BtOxaL7ZQAzXHcOET2z3psFkuWWVKdv8E0q+1gYhRCSFPVvrbmo72dbY0NVeULV0UiHuMjXDg8YGorMVqJRbXneZVvPF8E1zRN07QvnilUnxHAPfviy4nGWaneYgQPsQAwy2osKvwRO9RSzZMk6RvXQnr1fU3YC3fbQEyVxgg95mTodG5DVeVuLrJZ/RM/qF19fmuf+JFbFck3/a18qm4uGONsNvvr+0WJrTHakd9NbYwAIEg9fmI07H0DSJvoRo588temZz3iElRkD0L6NDyPy9y4PLK6HfKWYz1lDoBC2TwIIYSQ5eXKSpdSKBQKhUKh3FhQAXrHOHpwoDibEgNKeispouNifY7h57l1eb7jfIoLL9+1DkdUu91FqFLJIoBkxwAAxl9TXvgKdrdhUA2pfB7DPXVtmg5j3HEQQl3tbb2sNcqHZMvOY341zaeqfB+EUHEaLCHEMAypVpeGDcLz/ByJkC8JOdYcMiKBVOy/sbq8bW/DFbfzdLGRhzkOSg0FDyvpXblczvd9TQuvIVlAfq1LQsjnXzKLjZ8f7FeMMDeM4tuSWFK/C5xqijeznIisNBj4pQiAb2Ur0jIGlZbQ6Q2w2+vg7RJMy/rkj0arUusZBG/rFz98XP7Ircp/P8SlGGuzymBuMwLOvfug/Du3qQBQHFwpTX6/L3uJ+oDuqC9xpSDh+t4tr3DzIvKPac6kV8XT4Yhib12YjUIpZmpqanZ2tqlpc0rIUigUCoVCoewtqAC9k7y1K0S5cHPXdRlCCCAFr8+2Qsiyyw9Otxihv6v9CJ9jIiyeI1cUVADAeTl3gr975QmLky+MTAR/B3klO9uem5n6urrQgMcyZlfFtapUxag0Z4xxDerkpsCGq4QAAPsZPaJMX3if5LAXlQJs2RsY3r93ONjZykbcnRaAryEJusLwRmAII8tlKkMyDJOfphra5d7cw86z4bUZC371k41sCeWR47jvjIacimaRlIjMBaHKQ6zubOy2t78hvqH1bw5c1/2z7w+VWODtXRgABIa8fx+O89CdYD9yq/LBI2KKyRmGoet65d4vu5CghufV+RwA+KS622/+0jgitTl/YZ7n39m5slgD772jzRfzruxeaeX2eHZxbVMa4x+SrZwHV7yKYkurPHDrwaqWp1Bqxvf906dP/97v/d74+PiRI0eo/waFQqFQKJSbEOoBvZN0trelxy7N+rzGkhxeGRY65kopggExgfQwJRS6E1qMkNJndS1dYsseK2CMmxrTjYS8NDQxL0ZXiy8H61dtxrpBWOwNIP08Cne4LmAQxcxLg7N83GM4ABB8p0vwu9N1okjTmrabNpwdZwvFLB8Qz/OB+KLruiRJucrq7JUoKGdZFsdx22zEIYrioC9F6Se9reHW7QLg0KMNumsotrtjDtfbzK2y+4IdYlFCAEVkBJei8rCEYRixWBkHeUVR8iVjy7LaYsx4dq1PyiyZiDDIRkWF1AYSqETmqyiKC7kQAfpQI1dsMyQTTwI/g0SRuABw2t+QfMxhLxHf5AqTNyR/8+PLxXbDqxxLczZCt6b9u9ol13Xfc5BxHGePJjtHsWzjRsFlEeNXE/BoUcCqxjmaABBCPMfZH+MvZpHus5M28/ZO9M1h7JHVRQAAsh4AgMzgDsE5bwhnXfE1ydzLbhXpz69vpOYzlE3jC1/4wle/+tXQWYSQ2dnZy5cvE0KCF5tHH310p+LoFAqFQqFQKDsIFaB3mLcf6/j7F6d0f83QEwOq94x5fkUfuYPLnvVUZ32u+gSXaDUzulKqck6QXoEQurWnTTeMC9OZRamUpNviZSe5EFEGVekhsHF8hjsPFanPARbiV+U8hxUu+3B5ylL8jItYBohA/G4Rd7Q003yTraYjqYxnQ6Yb1+8zQYo6y7KVWKCuytbFeJ6nquo2C9AMLyyT8KgGQzDPh9e8aue8c1WqHDfPZ2lLcxMMLYYe8AxIKjK2bkxD2S0XdFHf9483SuPZtQ7JRfxMMWJz68v6PdRRKv0ZIfTqYnhjFpT64om9oPuel+GFGSUNG3YSvrexFrvtm42fnLk6Y5W6LF+e825tkltl/wYTnfOJCeiL51BSIPN25KmQWJLz183tSTGXS566YpZcxLnu4TrxYpbkMHppgXRqqFX0RnIcAODr+dcskAOKfTYrnHdXbssX3CrqEicY90D/vqoaRqGU4Nq1az/96U/LLpZIJB5//PH3vOc9VICmUCgUCoVyE0IF6B1GkeXDSu4VU8ofmsqQNV3hBU87zBqv+AUDS9EEUhtc0+GV0M0WGDdrqnpHr0oIcV03s7QcmiU0VVQ+LmA3uFpw2K2zF2el+qS9lJEKZXcmrIiWya4cow3wsgevjCz1+ovtjQ2nZ3WTEQEAEdIOxr62ZmoBuVk01qcgG6JAD3tiD8MEiT+5XE5VVcMwym6ttES4/eEEPfpuGYu2qelqaTo3Xv5g89HknXG43hEavewMH5LDOwXiEUWppJ+sUpVabZqmLMuWZYXO1TStWEmM8eu6XEpaJx/s92cvsulunBlGSQWtjRq5rYGRfbNEy2RZPjMRcgfrlsPjKxcgrnIuAMIIwcbqB7a7C/FY70a2cDMwN7/w3cFI9wyRhTd0sh1J8QaWnld5dy8xPXhieK3nqxwxvLX/FqjPIgNXrNXHKymRQp7PK4vkRIL3XLdJ4qZzYGN4fhbf2SyMDGEAsDFigNyqWS8siWeza8/uFOe5UEU05ZFDLVQBpGwi6XR6YGAgai5CSJblRx999IMf/GCFRQgoFAqFQqFQbjyoAL3zPHD8wKVTVx2SV/Bq3RhXVKQ+B5PRnMclWJ8wIWPYu5EJUDg8HCEkCEJTumHq0tVZrbAECln/MSZ4tsOJADAfa+Zt22V5AEjlMsX67xbRnh0bi7UHf3sMPyOngZDQvS+KScC4dOIoQcxVru7qAgb2umSPYBASg5NWypk+2d0clcFKqZwo0wyTsBzHraYz5y/GMIwkSaZpFqyCECqtJ26/33cceVHRmLboeno8z8u+bbEVKyOEyDtUYnFHGGiIzSyFzkFLSOSRWckPHQhJVXUJjLFlWbIss2xherKqqqFiYkJE6/+7bncXmYYWog8xKQBg81pyS4rR9VINm7DCa7r1aX6x/wYA+IhZvi601XnZhbBhK5WQ8ozbB6j6XAZCyBefmw6d9Z6D8k9G7XfskwzD0PXtNqrafjI5/O1hlBQBADgEHgEEEKjPDRKZy4U8f082owtr0ytVe6cssBK86Nn3NvFfHyYAMGLAiLHy1Lhm8QDk50uFN8k+FV/yAAAUhpjlTD/6BSsRr/HCoVBC+djHPvbRj340ai5CtfhKUSgUCoVCodxgUFOCnQch9M596zyazbzUN4ZE57ghZNhu0smifOGPkG5noau9vcQej+7rLUiRLiZQnwN4bqWfbJv6DADjWmth+nW0xCz7tddtywjx70+YZ68O0xqGG6SEa3P+p5dlWer1en2KoliWpSiKoiiapiGEFEXhOK5sPMB1XU3TYrFYLBbTNG2r4weapo3gSF24p7OjxLr3NFeR7lTvGzeVV0wqGWm2MwKKooSP8Cgg6F1VpUsHWJaFENI0TVVVSZJEUZRluTgcElDwuzh5yZ5JbAJCs7BS2JC9npgssVC69Jwsy09PhPtoEKV8t9G8sAxuQg76C6XHrtT7xn372spun3L28shymLbcpDJ1MvOOfZKu6zfDgwMhlJLY99wi25gBgAI75lX1mUeEyXtKjzg1ji56cgrJsux5HhutJKN1PZxc9VaeKWXVZxbIG2/bX1vDKJQoWJblo6HqM4VCoVAoFApQAXqX0JhO71fWPnMNvJbUjEtaMHuIPZiO/0p7/O4EOsxbtyver7Rq/d2dpXeHELq7OcbiSi10PZZvys2FzmLxinoieLVLwKEQxFSeMxX3qtaeChjhkqeujt8MUsLWwbEhyfgBBeJdcJ4DowNCiGmapmnquq5pmmmanuc5jhMYPUdt0LZtXdez2Ww2m9V1HSHERu99g2iadoYkFiFcTOGxW3rXqqr2+4sV7utocxXu5zcGTU7kyXFQ+Y92lmVd163hypUkSVXVoP8YhpHL5WzbZhimwk3N51YWa/eXFhkFADy00g0kvHIzl9hSURkAWPLCb+8JntSh8km102pj0TRykLcG+nsPMOEyOhBykDVe20/V5/IQQv7tQviT5Z37RM/zbgbbjQCEEMY+zzJSnvc5KXpAuwTh61dPWiImrv0N82eTzk9n0OtaVnaR4grjNCQo9gkAAEc0x6/4bfYtXeLWPSwoFAqFQqFQKBRKFFSA3i28/lg/dz1vbhFXkc45MjkFAKqqNqfTqWSyQltDgefvbpA5v9KBw4tqQ6hg7V83AMnPmN4GVHedLjAr18OGteMFPvbDoflK6uPdPGCMp2dnhyamxyan5xcypRcukbpb0C1zuZymacVKn22vhTFc13VdVxQr6leO40ib51whCIKmabIsa5pWNgm3yQsrvLieg71dzd5y2cX6kBG7+dwhD7cXq6gr8BV4HNemJSmK4jhOcdJ05bawhosk4saIPcYmCmbx1wVow4MSiW8cx0WlP//qwVRrc6FLUjG4SAG8TbQHOloBYH9X230pqPPWFFIROz3IfEtnbKCTqs8VMTw+5YSl06YVJpfLRRmI35BgjIORAaPZSm3H4xurreARtOAyP7xuj57xQi/zlV9nGUXe/BGQ19WtPVY6BaernfZ/CoVCoVAoFAplB6CDwnYLDMO8vUf5xmAOADAgxc+tltErzRSRDta0R0kS723lnhubtyIqGeZDEBP3rQxTqW0i7zsuu4XF/VaTDa+Dks7SolioBFWLw/A/HZ5/sDdSEdsUFjKLL8+ZWcJiQByQNOv21Wl1qV2X+vrKtZGLnkoQC8ACAOiEnZtrY+1bOxtDLS+ipUDiuutCHRhjXdcZhmGuFycMKPArCGTlEsXitgJVVX3EXCVKjmE8wuSl2UUsz5cXQBFCJ/o6Lo1OXMSROd09/vKhvjJjF25IZEmS/WyoTTZTgRpcgwCtqqrjOKG5ySUE6GV73fI5H2zE5cJGaZxZWInEuLiUAC1JkumFRPWSPG5J1yGE0MIiKTkCBhBKutlFXgMAHrv3NSuaunYbSSWT9yaThBDf94NrrdSmKOvBGH/hhfDc/Lf0iX5uo2Nu9hwMw1xdcADgaB05uxDS7UUW7Lx4Sp0Ey5UOsgphxg0unPK3gBiLM1gOnYWA/Mb+eM52YCHQoMlbb+uvvU0USh4Y442MmWMYhpbBpFAoFAqFcrNBBehdRFtrS+/4+WuOBACi71YoQBcnwVUOy7Kv6Wq8NjJ6jStv7mzICc1c0oWKNOgtVZ8BwOaKTk5ppaZiDFb8+dWxk32lTLSrBWO8qv68eunqeZQCkILfzQEYxvzwHFZnp17TosZju6Uy0qmLw+NMrKBz+YgZwfLI4PJ+WDwy0FewCkIoTYyxVv9IAAAgAElEQVRZVKyxIp2ROMgV76W0QQEA5HI5hmECs46yS7Isu5EEdoSQqqpncbx4aHkJOpsrClcghPZ3tvV63ulrY1PCumBDytXv6GiQpV0XgdgeEEIx3wqv01jB1321AnTpvlSiQz4/sS46QgBk4pqo8EbHE3/BXbsXlZAYRiOKE76uSw3WujNGnivn8SBjm3HhWEsypiVC90WLX9XG3zx5IfQ+cH+nAG7IreyGh2GY/nrxxyPey6HFMWGd+gwASYmBbXEo6VH8ofCrlrz/cL0oipLoAuQA0FvaOGq+Qdks/vZv//aJJ56oefXvfe97tDdSKBQKhUK52aDfpbuLh+848P/+bBAAEceNsJwtpA0ivD4rprezoxvjF4enFoVYiUJ/AIBFGTApvUwobfrEuNa6gTaWZ1mM57tw8Nh1mRoL081wsZHJqc6W5o20hxByeWj4rJt/Skk3XhpiwrV+Awk/mHJbx4fu3t+143kxM3Nz4yWy3RG6CKnBi9NvG2gsaOqhBu3p+RBZLUdQsbUEy7JlBWi4ni6tqipCyHXdfJuOfHzf1677V1iWVa0SrWnaJaL2gEWqOfkc9mS5CuGY57iTA91Fk29S6XmVyDyyzb4OGIbJ5Uqph4ENdGi3bFCYK4vrOlXct0yu8DZdl8sArNx5WBRZhFBV1X+/EtpFyUDHivlGXSrVmRke4SOjgxz2jvd2CMLWRvtuQs5fGZw0QzpfXED9Mew4N6NNk+d5hBBMQOGQUT61mbykh2clA8B99e4z81xVcb4SO5omxTsix2TrxMHe4PHE8/x9KXdIx73dtY0Wo1BCuHDhwpNPPlnz6rTiCIVCoVAolJsQOiZ3d4EQ+sidnW9ugbSEUAWvpwLxDuzbhCGlDMPc0dN6X1psdJd534nKPPRYocmer2H7W60+B7RaM6t/F6vPbVCFjcPLtliJNlqCn18ZO+vF14v1aIgpIzVOsPH/vDTthQ3M305eWghXzfJxGP67l6Z9f91ZSiXioQuP+4V1nzRNq+oMG4ah67pt25qmRQn0uq4HBeWqTSyS1NgZksgR5hypJgOdkPubIkUWSuVECVGbrvMpilL64vI8L9SqQtO05yYKHfMtu7CB9dj42fzanUdkI1WGZTf8oPfFSH7vPdzbdbtkF/vvs9jfT5be2FVH1edNxzDNf3wlPErxXw7JURGFmwHbtjWhEvUZ+IhXS4XBHzxWd+LQvnf1bk6/bRY8i6y72yvIf3efevKWvvzHxP7erkdOUvWZQqFQKBQKhULZSagAvevgOK67s+PIQO/D7WrcL6OZHhIrrSJYCYIgHO1qvb+j7ldatP1I572QL+2M1sjhzdxpAYjULvvOi6WMRMYhXCtMOCHV4QhiLo9O1NySxaXlUYh0+y1NjhG+fW3RsnZylLdeWfq9yQg/uDqTryOzLKuQkG6DAcny2vkXRdEwjNrsMnRdD4yhoxYghFSVQq5qsVchDgBl/HaL6GcsVa3xV6ZUgkE2bYyOoiiqqpY1cmEYpkAy5nle07QvnQkZaDK+tE6K4wg+O7Xu3mh6ECoQK4ry7eFwGe/B/vqCKU3p9Ju66u5U/f2s1UbMQ5z12iR6U1eqr7Oj9LFQaoAQ8sVnhkODBgeS5CZPWiSEpBWmJ8F2xMpE+N7WXThFZfHbuoQPv6YnkYgDQFd7m4g2FOINaJbXbvWtnP2OLuG/3NaeTBZWg6iwmC2FUjl/8zd/41WMYRhf+cpXbr/99mBdaotEoVAouxxMiO3jCv85+OZ+QaRQqoG+A+1GOI7zfV8Uxdfva13ILJ6eM5fYcLmtozL/2WpBCHW0NHcAzGcyVxetZfF6WishTe7yQEtD1jCvLehzwkaL/hVDEKO6ZhuT8zlp1OOcarykXYbnfddl1+U+C75TeiNLQnjS7mXQBqqUMlc5P5WBigs2FuMh5kejS2/ZJ+6UF0flxuIGEs4Mjt/at6aFSeCHmsLk8sJdQSJzWTUwiqAmoSzLLMuGbqTy86Zp2hkS3gFKgwjef90qgbJRIn6vEVB6maXSmfIIIUVRTLO8E5FhlC8cx3HcasFMSZI8xH37Sm7WCt/4kgv5xjJoOZPDhY9U3QWE0KpwyXGcIAgvzYe/pyZ4nK6vC91XfV2qUJmmbAHnBsenw8K+HAMXF9ED292c3YXv+wlRuLOV/9zpMpfboLXyFI6xuEvxbutMp+sLw8NH4t4LSxvKg26XPIFjD4tOb0OsLhELLY0LABzH7birFeXGo8Kyrp7nDQ8Pv+td7zpz5kywVmNj4ze/+c3Kx2kRQgzDmJycvHDhwvPPP//qq68SQh577LGHH364xCq6rj/xxBM/+MEPMMb33XffI4880tDQQEvRUigUSoVYHn5lLqJaSxg+laAplMqgAvQuRRCEwOu2LpX8lVTSMK2XxmamudjqaHVEyL2pLa8uVZ9K1adShBDf9wkhHMchFAMAURQb6lK5XO4X45ksv8lJoAavXAJFc83XddeZlvXK5MJChUo3QikvO8OuU3CqkrALNre0vJxM1CKy6xu+snKIP3Vl7J59O5PkiCoq/7bCVawesKzVlGSVgYWwla+6chesJZtvPJcwkKGLhexAayhbkJBlWUVRTFLj99hRwaYVhDYLTeBnwqazUFHOacEPoaqq53k8z692DFmWK1Gog00FHguSov3jq6bjl/JbMFxoJOYMUgCgx517Mhuif/37kNcfl+9qYlzXZTj+iSHP9HDUIb3nMBWZdxLf97/6crZ4Os+AwsHSzeu9scZdbcLXL5QamCWx5Pcf7IprKiEEY1ziJtnblHphqXxMKJTb485dB7okqXxeMy3CSdkpCCGnTp16/PHHf/SjHwVxzdtvv/2P/uiP3vzmNyuKUtWm/vAP/3B0dDR/Sum47Pe///0vf/nLqwUPvvWtb333u99917ve9b73vY8GYygUCoVCoewg9L18l4IQEkVxtd6aqsivGegKtBjf94OPum17j4z6hJMk6d6+Fozxq5evjkqNNRQnLIHOKd8bzd4Zw3f1dywtLz+bwVCBQ8IyX1zrrnauzSzcVpMAvSnV0yZAvTY+2dvWsvFNVQsDxK/mEH48svSW/SsCdG9SGs2ELJNAW2JsXSxQEkIYhuE4DmNcQr4MYiqXsFrDb7XfX+jq7q16NUoE7SntWibkl+Kg1C8Y4Pu+4zj5WcYIIdu2bdsOcuShsmgHy7KrQRRN0z7/UnnB+jePxHq7OgghjuP8P88sRS12ZRlfWcYACKDUJRDncENE+jNlexidnvPDesrDfWKzypIN2EPdGEiS9MNBe8aMPA/3t8JDJw4GbyYIodIhurbGenTJCL0yVQYbmGng/de28L1dHQBg2/bkzJwiiXWpZFUZzdQknbL9EEJeffXVv/qrv/r7v//74OnT39//0Y9+9Ld/+7ej8vRLc/z48Te96U0HDhxobW39zGc+84tf/KLErs+ePfvZz36W47j3v//9jzzyCAA8++yzX/jCF772ta8NDAycOHGi5uOiUCgUCoVC2SBUgN69IIQYhpmdX/jOoJ5bK7NDDoi5wx0NyXjtDg+bC8MwR/bvO7J+4tWhkcsojqs01S0Eoed19pg709bU+HAcrg4NXyWax5Z6fS+uPbgR5rga5WwV3CWQNt6Alwy+p1YbkI3QgfQhCDGmQASHGiVbjLAaF0nEY5AJscWYxEJrnlWCYRiyLAdZzDUjiuJqjs+6diJUicsHIQShinO9CWGAaNg50RxTVao+byYCLwDYxdMt4Mpmsvu+HyRaBtUFFUVZ/dGr6l2yLOu6rqoqQqiSK+5AEgJpLAgWtsv+mLWhjPgPnGzbyOqUjfOdcwuh0xmEWAYBsBXm0d+oIIa9nAm5TgHgZBPztjt6s6b17JlLlkcklhzta4/HIgvGAgDDMI/dnv72K5OtMuYZyLJShlkbTZUC+NXe+KpaJ0lST2d7tQ2WpE14ClMoVTE9Pf3oo4+eOnVqeXkZABKJxOc+97mHHnoolSpVpKQECKEPfehD+f8tsbDv+1//+tcB4MMf/vAb3vCGYOEHHnhAkqRPfepTn/70p//pn/6JXhcUCoVCoVB2CipA72oEQfjWNcOFfF0DXbDlC1cMAWXvSTP97c27czxdX3dnLyGT0zNXTJJjBI9ha04KPmNL1uhEf0drX3dXH4Bt2zPzC4YPAoKYLNqOPZYDDxAGRAgQIJgQk6tueGMUlVshF9CeVCZCShuWQsSuXaSeY8SMT8+0N2+31/Dhjuah0RCphSAGCAlNdb9wdfDQQD8AlEjw2XT/QYZhQtXJ4KIoPUYVVhNjy/3Ixzi9o7WVmiduHSwbeW5lWdH1EFeEAISQ53mrorOiKKEBibKIorgqWxNS3veDZ+DR+w/mT7mtnhkbq2HPK/SpvlrloGzK5uJjPBIRrgpMUxzHqa1u6o2BLMv/85Vw/f1EGhDg//M/r+RP/M/hsVtS8P77DoS+ohBC5hYyz8y6KJmajNjjzwenXjNQowmV7/tXBoeOHT5U2+oUSg0MDQ19+ctf/su//MtsNgsATU1NH/jAB37/93+/oaFh29pgmuaVK1dSqdTJkydXLz2E0F133dXS0jI5OXn+/Plbb71129pDoVAoFAqFkg8VoHc7v3m8+f97KcQf1SHM0zNwamb8TR1iU2N6+xtWFoRQa3NTKwAAYIxn5uYv6tjgwqspluYS0WB4tL+rAwBEUexoXedKUZAW5Xnes8Oz2c3QoJPh5fTK01qfguWlUGmTARKqaxerzwEvLDPtzbW1onYkSdLwgs6EpclEBDwuQeLQynzEEFxh8jvDMGVl4hKEShur3jVlt2zbtijhHJRKXD3CGV3tVWfeUaqiZjftoGYgISQWiwGArus1e4sHXREhFIvFPB8rLDH98K7OM+RP3tRfMPGWgd4nxgZr2zWPyK+doDn1O0wmsxg1y3RJoCjdtDAMc2WJmBEWMr+YDZ9+LgMXhicPdrcWTPd9/6nLk/NIBlTqFXQG1+KeQQg5Pzxxdcn9tZO31LA6hVItgd35Jz7xiT/90z8NpjAM8zu/8zt//dd/vf0JIrOzs4ZhdHR0qOq66iwIoRMnTjzxxBMjIyNUgKZQKBQKhbJT0Jy+3Y6mqm/tiqy0YwP7xKj33ZeHN6LibQMMwzQ3pu/vbXpdk3hnDIslS3uFcgklxiejMqXWwXHc/X0tHV6kmlA5A/UhNhQVtqGJhA//v12oruySh9gd+XHv66xuuKiP1jREHipqMMtu9NCCQoKrOdeBWTlCKCj4U7b2lO/7B5jIn6PRXX5zm9rTTo0RthyWZXnshs4qLScHyrVhGNlsNpvN1qw+27atKIqqqrlczrbtnxlyT3f9nb2xB9sgzq/bZm8c/o839hcby7IMsz9WS3osi8hH7myhddJ2nLHpuahZ8xbenSONtg1VVTWhltfFs2OF3uizc3PfuLwwj8qHoms445Zl/cvpsV8swDtv77/JfzLK9mAYxqc+9al9+/YF6jPHcR/72MdeffXVHVGfAWB8fBwARFEsfqbU19cDwE0eS6NQKBQKhbKz0I/ePUBPe+vR+Ytn9chsoDFH+IfTU+/oletq9ZjbNiRRlETxPs374WR4crHqGIaghs4668itFRsiH+vrapiaOm1LJT5jRd++RUUY+6/keJ8pvBZa7flUsqeSfYVyZ3fjE8MhI7p/4VTtKz02Mdm57TKoIsv9aPoKqUWCjypgOOhJaVg7J7W5JeQTfEohhCRJYlmWYRhd1z3P43me5/nSBtABJSTLI60NtdULotSA6tuLYYMALoPWwZpR1geb+IW/2ls0TQMbAYCOBF2q7+gEjvidfuZnU/C2AXWgpzNqp2891nXxf1Vnw6Gx5Lfv6ZDEyBAjZduYMyPjB30pjuCqg6Y3GE9cruV2LfPrBjdcHR1/wRArqScMAAf56kYgXbh89ZllGYB99GgjjehQtpqlpaUf//jHjz322NzcHADEYrHbb7/9H/7hH7q6unawVVNTUwDA83zxc0oURQAInKmLefjhh4PIfT6qqsqyPD8/vwUt3TRW3+IWFzch72THMQxjrxcbWP1FboBoR3Asu/wSqBzHcW6MY9mei90miABTYTSckPJV09ctXnEFIgDAuIqFt65iNiFkYWGBYwpPCCHEsqyNf9TvEnRdN4zqkgW3kwoHee9y6Dv63uD+Y/unnr8440Vq0D6gf7uWe6hlssCeYnfC81y3PTMkNhbPCtTnZC6zKBWK6QQxp65N3tNXOJ43irbm5jaA4bHxVz0Zo8Ix/iJ2Xt+TDt7ROwAsyxoeG59nZBtx9Ti3rzWtKBsaFC8Iwq28ftqtsYxhPuYO3QeP93cvXRydZcLjASXwIoZWSGjtdlm2uFzlEELyH3sMw+Rb+taM7diqSm15t4kmmV0MG+CfAzYoDwgAkiQVvN9sRYrZhFP4WPQQe41ruKvH3t9bypFWksQPHUt86cxiJW+rCMjbO8jh/fs21FbKJkEIeTI6dpCW0S5+F91yVFX97Is1Hv/+5rVqyZeHx17MyZUnNvd3d1a4JCHkyZeHhlwFgLy9U4jHNuGxS6GU5i/+4i8++clPBn+/7W1v+7M/+7MjR47UbCe1WTiOAwDFY3Tg+uMyqNZbzMLCQvEsWZahZJx+V7FX2lkWeiC7jRvmQOBGOZbtOQpCCEtQuaGYK+Ab4sSWpUSVnBujawXs5mPZ69JzABWg9wzvPrHvi6cG3ZKuKd+bhDv1waMDteftbhsH+/v0a+NzfHiCbbH6vDKd16Zn55rSVVR06Wpv6wKYnZ8fz9pzmCOIYQnu5Z3urnXGvrIsH9hX6Ou6Qfq6O0cujc2jjYqY7M7l4d6/v+PpyxNzUL5mOofXPl04wF6YsfKMzyev686rquKmo6pq5WkXJZ4xlnvzFhzbflKSABHd4RzE98s+AAQezfk/2aZXhpRl+awZ/lg80pwou3pjuuF/uzf29RdHh41ImU3jyH2t3PF9XdQiYPfwwqtXQqfXS2Q+h26Mt72a8UmNHRUB6W1deVhfGBw541QRy+wmSyxbX8mSjuN+89WpZSwBwF1Jr6uD2qlTtoNMJhP8EQS8/+AP/qCq1b/3ve9thVqtaRoA5HI5UjReMHj1kqTw17menp5iAdr3fYZhdlxVL81qKgPDMHv9qRqc8L1+FBivpILeMMeyyy+BSgguE4TQXi+oHnjub0/XYjDkMJAKw+ZVKpZb2fot3DbLsmxRBrTv+zdA19orN64b4HYEVIDeQzAM8/7jzV8OK0iYz/NZyTg/ePfB3a5BI4RO9Lb9fHBynqsuWenVLG6qvuZiur4+XdHH7Cbz4ED70xdH56pPIs6nrblps9pTAw/sa70wPP6KLUWVHww4Jturf6vgLkVU9tvqe7osy1UN+kMIRb00uNWMeKJskIa6FMoukrCx+R4wM4zS4Omu68qybNs2IYQQoqqqZYU7rZcAISTLcuDWUjBLFMVxTww1kGGAJBIV2dFIovibd/fPzM5991JmzFo7HB6Ro/XMXT0Nycq2Q9k2MMbfvOKGvrIfTpGfTqLdnAqx1aiq+oWXahwPfncLF7gYnbs28rJbxUOQJfjk/oreYZaWs9+4vOwBBwBdfO7EoYO1NZVCqRnbtp966qlq19qiu0praysAeJ5XLEAH44fi8fAH0D/+4z8WT/zd3/1dnueTyeQWtHTTyGQyQYwwHo/v6S/zYHi7LMtRQYK9gmVZgYuIpml73chO13Xf9xOJ8vkHu5zAeYPn+aBk994FY5zJZLbnYjdcH6xKM6UQAgSVpksDIKhiYUBFmm/JlmzVhzZCKJlMFlhwYIyXlpZEUVSUvT1o2DTN4KNSURRxF1sjBo/y3SyRVwIVoPcSqqr+xkDsa5fK6GuvmFL82uihkqPFdwMIoZM9Lc8NTmaq0aBznJTV9Zi2Z8bY3j/Q/tNLYzUYWQTI2FWUus1tUrUc6GprXlr66ZTtFDllB9Rhs7tjLaP8gIqeD5MsRLTmkLVFX19VvZGoqnom2uSa3dv39j0GQqiB5GbDhgskneURm2uJ8bZtm6YZ1JlkWbaGDPpAfQ4+jVRVzTf5kmX5mitNueE9/BZOB6giDtSYbng03eB5Xs52EEI8x4aOiabsBobHJnBEwsiMhVQeRQ1av+FRFOWfz+dqu1NzCB66tRsApmdmXnaU4hPcztmTnhAa7/mVFrGSd+uhsYkfTqOgmLaGvLefpOozZfs4duzYI488UvPqW/T12N7eDgC6rruuW/AJPTw8DACpiFIxoUJh0Mjd/KGb/yaJENrNTS3L6rHs6aMo4MY4lhvjKAJujGPZrou9ql1sYXt21W9WcOZX/3tjdK2A3X8su7+FpaEC9B6jMd3wkGF+b3xlxBkHONRv92cZtqFKq4odASF0V0/LucGRYa6K8olDc4tH9o4AjRC6b6D95Wsjl3DVYWeBeG/s3WH1OSCZSLwtTqbm5s8v5BaYdSphLyzfOrDOT6C9tfn5ywvFGdNZwq06b2zFrRMhVFUNhBkkQ/To8uIyC5Qt5UBKmV0qnNhizlzwEwAw5a7EqQI1sDZNUFXVVdk6vwfKsvyKLS/7kdGLY/trGdfPcZxGi6Hter4bHdM9v4gO1LMY34wCtKIo/3rRXrJrjBR+5M56QRBs2/lJhgkdPTPmhSeY3BP3Uony45VevDj4S30lTxAB+c0T3bW1k0Kpjccee+yxxx7b6VYUkkgk0un0+Ph4JpNpbm5enW7b9qlTpwCgv3+TveYoFAqFQqFQKmdv27XcnOzr7jyurqhsUdXeANATI45pVj0+fftBCB3q7XowzVc+FMXw95gyiBA62tf11g6FJ6VshY+Kudc1oP3eTDdeHPDn703it+1L757xawihlnTD6/a3v6s/9at9yYdaxXf0xN/Vn7ptX3dxOJSHcNfU864SJCkHpXI2F1VVK9clBUGYI6XOrbRrzvxNQjKZyHcSRxiTbDZQnwFgwmE3OOBO07RV9Zll2aCOcIAJfAn1+QCztNdDzZQoMMYjeqlHz4Odwk3oAa2q6r9csDM1Zj/D27tRW3MjADwzOFOpfyIAANwhmR0t5YcafOfMmvoMAO+7pW73PCgplB1EluX9+/fbtv25z31u9XXI9/3Pfe5zjuO0tbV1d3fvaAMpFAqFQqHc1NDkrD3JvccPLr9w4ZodJBCRiMEZ6DuXZt91rGNPSCeyLL+5Q3pxcGyajZf2Goaqjf53C5IkPTIgXb42eM7TXLRe7SKkF+kDnV0AUBcxQHL3EAx90lQVADDGoeUgOlnzaljGt0UYjuN833ccJ18Q3DiSJGGMY7FYWQ/oWCym6zrLsl4JZYSQRIRVImXruDvFPbMEABC3l8ccgcCabYWBGUESajB9XsVxnKCGoaZpvu+vbkrTtGeykW5fCMhtB/pq3illl7Oc1UuMbuyKM1UNqrgxUFX1a+dzNec+tyrknuMHAWBmfmEeyZWuRsg9MbujrYx1GMb4ibOjs/6q+kze0S3VpXa1Ry2FskEWFhYuXrwY/B0UPxwcHAwymnmeP3LkyKrbBsMwv/Vbv3Xp0qXTp08//vjjr3/96wHgxRdffOqppxKJxOOPP76nXZIpFAqFQqHsdagAvVd5yx0H/vXnl6ZdHgApyDNJyE+Z8fmrI2P9XbvdDDoAIXR7b4fv+xfHpkdAwWHlyALqhD0gqUexr7dnH4BlWROzC7MuuBjVCdCTTinKThRJrBLX865MzMzkMEMIAzgDYo5ZkQhl7HTw3v72RlEQAKBFk68uh2xBY3zXcbeibSzLmqa5WpuuRNKi7/uMGucQBhzZkdLEZJjdHgm48UgmE/sWhuYtbzDMm5thN/TACmIeAJAf9hBF8blo9RmAvLFV2OuVnSklyOUlwhfzcJ+0iUGyPYGiKP96IZepVX1OifC7rz8Q/P3CrA2oIutzhuAHGlC6oa30Yp7nfePlySW8uk3yUCvb0dZaW1MplL3C5cuXP/WpT+VP+eEPf/jDH/4QABKJxGc+85l8u+d0Ov2JT3zij//4j0+fPn369OlgoiRJH//4x+vr98B7JoVCoVAolBsYKkDvYd59Yt9Xn7+y4HOh6nPAT+bY/q7tbNRGYVn2lq7Wg4RMz85dW3aWebVAiVY9c193c9TqewVZlvs62/ZWXuXE9MzPllhA0krx3vVYjHDJFy4NZ1vAOtnd1NzUCMsLxRtZwmy/JAVV4Da3DqHv+8EGDcNQFAUhFOjRxUuyLOsRZJBoVZGQo01Ufd4ZBro7v3puLnTWiM01ILSRblMgJjIMs4gkN9LIiLyhiU3X0Z5wI8NERzoB4GYz3xBF8XuD7kKtzhsA8OHXtAcBm1zOzlamPqew2SSgM1MeN2N0xsWetqbQYVuO4/zLKzN23tvO/Q14X08t5uwUyt6ira3tve99b+gsURQVpbB4b3Nz85e+9KXz589fvHiRENLX13fLLbcU1CSkUCgUCoVC2X6oAL2HQQi9787+/3HqSjZagMaAhkZGujs7t7NhGwch1NyYbm4EQohpWtNL2aWcI7BMW1JLxMO/TilbiuM4P1vmKjDzRJOgPDG4dDLm9fr6Nba4giLKgCiCCZtdhzBfKjJNk2EYRVF83y8YQY8QcgiKI/8KLvxmW+UIb6oqlR13BoZhYuBkIUS6GnG4rpi6iRmpvKxe0KM0MvJQK99QtytKgFK2jmQiBjATOktka6x1uUfhOO7VDAwvlypUUJq7W9hEfMV5aXw+A1DGl7kZZ+dyaBgLwyYAsABw2SLCzMR9adLT0Z6/pGma/3x+EcOae8DtWu7o/oM1N5VC2UO0t7dHCdBRsCx7+PDhw4cPb1GTKBQKhUKhUGqAjize2yCE/utdfTIq9cX41OwednxDCKmq0tvadGtvx6GutmQiQdXnHeFng9OVL0wQ87wuSBF3l2ueKMsVG4NWjO/7+XWoMMaGYdi2rWlafp+RZXmIKA5Bepdx2soAACAASURBVHT4rb2pcdObR6mcDjFS9TPwpj2zJC32nB6ZEXZv0qPq802OzDFbIUDLsqyqqpbHpu+iBkRRHLP4U+Pl/ZFOpMOzwlUe3npH/+p/S49U6PPnckbukiku4MIIkEOYJ2fYwZHR1SkY46+dz+C8+OcR2bz76IGyTaVQKBQKhUKhUCi7B5oBvedhGOa37uz5u+eGnIhwggfMi5eGbhvo3t52UW4o5lBkvnAU51CUfodyjABg6bq+uXUIi8fLE0J0XVdVFQAMwwgm7kPGmTCL4dV18oVsyvYz0Jo+N2iEzrpg8vs3YxeCGjuVlaLm9jB6Vzsd2n9TMD49HzXrvbdspgG0JEkMy333am4ku851mkPw2K2x4E61WfuqFk3T/uNSbsKoyJ3/F7MhbxoMkD98Qz/Lrs3qSNf/0lgucGtChPT7c7/MJU5DmRKvL837PZ0AAISQr58Z9/JeVgdE64HbDlXSVAqFQqFQKBQKhbJ7oBnQNwIsy/7WiQ4BRbpV/jIrLi4tbWeTKJQSnHeVIO/P9/3NSmn3fb/YCTHAMAzXdQNZ2XGcl0mplEMWbi7X110Ix0VGRn1AG+wwLMsiOfa8Hqk+8+Dfc7BnI7ug7BVGJqa/8MvF0FkPdgqBVX1t8DwvqxoraUhUsaC+uix+6WXnCy+ZI9nC24tH4LMvGv9w1hBFcUdMWjVN++JL5oRR+32PAfK/398mCOtymf9/9u40vK3rvBf9u/aMvQGQBOd5piRSk2VJtuXYspQ4s53YaZo2idu0x02b9gzteW57mvY+6T3tuU2e+6VNz+14k2ZqTts0J23aOInd2I4n2ZZlzTMpzvOMcc9r3Q+QKYrcAAEIFADy/X2SgA1ggQA2Nv7r3e+SZenRat7PLIG5AnN9zG60FsJx+22jLJP7nKdyIqEDwCtXRsL01g6hTbbed7A356EihBBCCCGECgUroLcISZKe2l//jbNTToql1X44GP35/UHsX4GKAQNwgQCArut5LIJOc9K3ZVmiKGqaxhijaSfemu0lAFwpvpAsy/K8XCTsvoAZjea+QpokSYvE159Itzbah9uxz8+2MD238BcnPRZKBQBVgO5youu5ZLKyLJtM+OcBY8nMKL+WOGZR0qjBKxPO8TafaZprNlAUxbKszVgOUZKksCN860zuOTsAaAL89qOdild0HgpVfCgEADAxPfvDCTYDgazu+crYzI7G6mv6rXuuF63HDublFAiEEEIIIYTQ3YYB9NahqupT++q+dnYGvJaKi1N+em6hvqbq7g8MbQEKcwyyKY0pdF2XZXl97JIbjuNSJTWMMcMwfD4fpA0wd7Q252UkKGeTi5FUy5fdSVGqz+cbtpVJO9233qGArWlZd5tBJcdxnC+/5r32IAA8tVtNxLOeFfP7/WdnnTNDtuFk1MsiyaIEAAYi5DN7PDp+JM8UWbOS6p3jeZ5IyneuGlHrjppcN2jwuUe6RTHdZ+rlK8PXErlUdk+Z3OjAPLyzHmkFZ3/sUE8uo0QIIYQQQggVAWzBsaX4Ne2X9temuvbkpHdbVYQ21C1k9Obh04e7q4w6crLONNmFIy81p4yxNHWClFKO43SWbk1O2bUKchY8Wi3Vm8FmRMlp+UqO4/x+/1u6lj593iHpPS0NOdw/Kjn/z3P9nruqBxrFz+zx6YnsvisJIX6//y/PJF6fsAwnxwr9710zVnefT94nAOS9N7SqqpfCwtfO61Er95MJAOCJbuk/vWdnmvTZsqx/ODOWW/oMACJz5t2b6XOItz91fzeemoAQQgghhFDpwgrorcavab+4t+ob5+fXXzXv4tJqKEc9He0XBpY8r6pxIrNCEAAIMJmwBMsoI5inYqMoJpstGIahKMqdV/lZlpWmmJpSqqrq+bQNoB9u3GBprNI1Nz8/txwxeUmmtk/k25qbizbNUVJHWrMWp2V8P4QQTdMIIZcS4kI03cQDAOyWE/u72zK+b1TCzl0bjHh1eTneKrWqjmOkPBtDFEVBEHieBwDGmG3bHMdxHDevs++cj3uee5Sh/ZW00q/YtgEAHMepqnpt0dmh5T991jTtq+d1O8U8nUiYncEOXCTwe+9t9/lSNlIHANOyvnVhnt3BQWadYI46PgCoF8yPHd5RtPsrhBBCCCGEUCYwgN6CgoHAZ/aRb52bdW//PVwneHdWRWhDhJAdEL4GHutHJdNnAGBAMkyf1xNF8c4DaNu2A4EAAKRp6LGjUktMjY1KofVXNbthn1J+h2MoNoyx/pHRKbkSiA/8t8qHR2cSWmJ5X3PN6qLLIlFV5ocF79ytQmSSdFvT8GQspWr+UUuoFtwFh6sQqMqxZYeLuNzpaEbfcfvl6O7uzrwMHhW5hK7//RWP/QMB6Kng43HvvZCqqmNR+uyAKfNuwoHjDbRa5Z4ZZu9uZM+McQ6FO0mfAeDsAvd0k2AmwO/3/3jQjNvGkz15PhWDEOJT06XPDzdyj/Q1/+FzI2nuRObZp/rUno629I/lOM63Liwwr7/JLjFy1Q54XrVGwK+BAW2S+dihnRtujBBCCCFUEnz8zb6WadZdX7Hk5n8VkCSJ52rUTH8GSgI2TkD5gQH01hTw+z9zD//98yMO8CYlDKBepsd2YnNblLvdXW0j/bN57AQtSVKq5eZyZllWQlQDqp9zbT0ed1135SpRFB2tHAhRG1p6osvDOrO4255LR3VFfgdTcK7rvj02pyvend/javmJebOTLDXV1dzlgaWnyDKAdwB9MqYEeXdfIBCLxXw+3zIVF23iEm42ygPAqCkAwHCW7cQP+PTeTkyfb0MpjUSjQwthhzIOoDqg1lWUS1LRzVXk4OuvDXtezgB+OGgdb+BX7zR4npcU30TU/ccLhkUBgCQcAIA3Z0ncAQDy/ZE8lOWqAvvMXr9t25qm/eWZREAiT+1WdYeBnbfWz4QQV1T/+qx3C/WgyH75YHVdbTUACIQ5XvOIIRk+utPf077xUYTtON88N5sqYlZV9QjnvLa08Xvp+Xmx22e9/wCmzwghhBDaOiIWTVjJWHnjH8KE3lHDtDRMxx0JZ3qoKWMAjfIEA+gtS1V9H7u389tvDbcq7j2tVX4t8zPXEfJACHlPS9mPRqMu2aCbQQGZpqlQSkCJMyLVNPpiy64gcoxyrmNp5a58c305LlDe4Wfhmckp4VZNt09Jd0Z5yaGUvjEVdpRAuo0IuQEam55tLqYMmud5Dey41zqEDCDs8q9EuCaJn04ImbQLSO9QwNrR2nqHd7KVLC4tXV1KREQ/EALSzRMC5my4PJvohnhnU2n3yF5YWh5N3dNiLOIqnapj28nG9LIsvzxmXZr3CG3jThZvvDKJha102/MEwoZbpoh/cTr22f2awJGpmBuQCHPuaIXAW/fP83GQ/+mSvv4qAvDpPf6+zlux8m89VP+/z04PRYABSBxU++DeBt++tpoMF+eklP7D+WkKKb8jqiTmZPZTqlc1330Pps8IIYQQQghtERhAb2WSKP7i/Z3fPjnw91fDdcLCQ23l5WVbtsUtugsURXlfE/vReJyRPMyCblJPT9u2bdtWFGVmOVoGVAx51/8CIWV1jYF4ZCju2pxY5sQlaUv133h7ZNrxebRMWW8Q1CrDKKr8vZK346l71jMgY9adV+Oyo1Vcc13THd/PFkEpfW1kNi6qIHlOWpB+8IeWwxXlGb2pitP3z06luZYB/NWZBE+gXCYBkQ1HveuFM1Svsgeatb7WGk31ffXFK/3hlFtGbfKTIX1GJ7+6Tx2NuGMR9/5GybUMEATnjjNoVVXfnHLPznpUuFT74D8d65QkafWFlaGKzx6vYIwxxjgu6/38S1fGDCaluvY9VbbjODzP88DctF049qv6Q/f0ZvvoCCGEEEIIoaKFAfQWx3Hcp+/r/ue3rk3Y8j8NxOvEpQ/tbs7hVyVCSarqe38j+9Gkfoc9TwGAsVt1cLFYLM36gTkwDEMK+IdBE+bDLZzBh2o9N+O0YIfK4pMjLdWV+XroYhCNxRKZpc8AAEDOzkYeaCmiALqr0j86u1ktzwBAAfex7pAs57nNbulaWl4+GQUmblDlejLK3ley0zSU0uupU+AVLoMFgy3k2v3iU71KT2ujKAor37OO46RJn28+KPCf2aNwHDQGuLZywXaZz+eLRqM5DgIA3lnM8CvnEp5Nn/sq4FMP7Uh1MEAIyWGCcGFpacBImT6LhFHHtm1blH1uqo0AAOD+cutg765sHx0hhBBCCCFUzDCI3PoIIU8e3tkmGQAwbUtfPTNzpf/G6uwPoaxomvpkZ4XI0mcIGVgVcDDG8r4aXjUzAJjDCYPgn5qdY5Z3pEQI8Te0hkq5rnO9q/OpGw14sSQtj+n/nauvriSwWfuoPcLyz+yux/R5xfXh0TdjXCanNeTl1IdC0fW8tVT2VCbBHz++Y09PuyxLq4Pdocm5DW/7MzsVnwAug3Oz7l+ejv/t+cQdfh55ng8z5S/PeKbP7LF2/qmju/I+Ff3ccLrdzp6ACwCST425JPX8JXt3DTvUt2OTzo9BCCGEEEIIFQpWQG8Xjx3a9ezpa9d1CQBejainz0481lUeDPgLPS5UkjiO+0hP9eDo+HlDdnJtCT3vCCs1tzzP531SJBaL9ap0mtcWQY4J6kDMrTVGAzX1RFibdDPL4AJpeyWXGl3Ouuf7tdGJvd0dmzGYHBBC7i9zXg/neU5CBftog68y1JPfuy1p49Ozg0LJVjVnY/MmXUXCfr7X19vd7nnts9eWN7yHf7gUX17VJ/pIo2TbuQfQgiBM6OJzwx6BO0/YZ+8tb92EXt4JXY/RNIeUrFpmAOK4TsqFVCc3sA81CR2tLXkfG0IIIYQQQqjgMIDeRt53YIdy/vr5qAgACcr/4/Volzz3SF8blhqh3HS0NLUzNjgxfTnOmZx3VigwN1VCvbrElef5eDye9xEmEol6P79Ibta6ziiVM2Gzlc5J1bflLyFmAmypAJpl3yAlrBZXE5LO5saJ2Mio68vHnbFqYt1bp1VVFtFai8VgORy+6BRR65VNJQqbcsBzrEV8dH9Hqmpi13XHM9ixrU6f6zSuN0R0PcfAXJKka2Hy6rhHft0egKcf2cHzm7KKbEJPl5jfV+4CgGVZTT7phTnPAbAn2n1NDfWbMTaEEEIIIYRQwWEAvb0c3dvjv9x/Yunm6z5gKnNnx5/cUy9szi9ztOURQjqb6jsBDMOIJ3TddiSe82sqR4hLqSgIM0vhNyPetw1xtiWKtm0DgGVZgUDgDnueeqJr5lcIGeHLamcmgzX1yR4g3NJ0dfP2WYmO+fSI7tUemvJFtxN4eFfr2/2jV8zcE9IAWE0K9DVVKcW0xGKRcBznjSw/cBy948Y7hSPL0o5yyKAcOVOPNPFHd7ekX72T0uxamSs8fKRLSiRyXP9QluXTc+z0jL3+qgPV5ONHNrG1xUujEQDvaUiJY+UiAwBJkk4ucTasDaB5oJ/aU1MW3FKzgAghhBBCCKHVii5xQJvt3t7uuqmZ7w3e/H0bpsI3zs1+tN1XGaoo7MBQSVMUxTPjK9N8ELE8b8IISabPN/+7OX3J9XVhBwDMiGWJ2bna6kq2MNPTviXP+GbeXVYZeKbPSSfGF/eUSwF/EXXmube7pc8wTw9NDLopR8UBbefinbUhRRLDCX0hmpAEobZMKwv4cWotjbfHZkHM7rVuoxGAEv6m+PkHOv77jwbvZEdTJrH9VdyhrrpQeTCTHsqCINSrMJVxnlyhcLqu5zAwQojP53th1O5f8pgkON4sPHqga/PS58WlpUU3ZcOcR0JONBoVBCEK0pIjBjmnr4wxBm8siwBQwdk/d6gDP6oIIYQQ2jxRyxmPZdHfDNfLWs106G9/45RLb/urMADGKADh1h1h/t+fvCeoplyYGm1neMS/HTXW1/5SMPHNs1MucABAgXxvSH9PLNbe0lzooaGtJqBpAtM9u3C8bfkP+SEWu7luVSwW8/v9K//NC47jhkD1vCoqaurM5MEUbVtLHU9dl/dKx9ImULYgn46yHfHZutoialWhKPKRXR33U3ppYPCcFVgdrNcQ/V0dNarvVpuOYMDfXFuIUZYaXdeXBO9G4aHE4qIa8ryqq8S/IxRZ/sW9/q+f32AnszsEj+1vDAYCjDFKKRBCCOEIySHAJYT8+rGu//7DASez3zHv65CZpa+fjeN53ufzrdk9+v1+AFjQ6UycjkbdoWXvVRY/0SPc09ud7cgz99qlG5cN790sT+DdlVZy2I7jVPuVRxXbtkyJl06GBQBoE/UPH9qFfcAQQgghtKkYgIuhcs4Yi+q2QzP9C25OXRnaCjCA3qb8mvprD7T/r5M3ltzke4D8ZE444oz2dWzJalBUMISQLsm6ant28iUDptjI8657s2QvkUgoimIY3jFKDlRVy6Eb8hZQZyxMaHW53JKQa0yTl8MV5SkLpQuC47g9PV17Cj2MLePtqWWQvAPoVOlzB4tyXHAzB3U37Oxo/r8ajLP94+fn7Kk4OAxsygCIzEO1Au9uk3d2ta/koYSQTMqc0xNFMcP0GQC+fkH/D3tViQfXdVdKoVVVTTZu5jgu2dPD7/cPhd1vndmgspoA+43DoaaGnHYFG7Ed59S14YuGBikm+TpVt022YrFbBd2xWIzjOFnVnpsXAdh9Zdbh3b2bMTaEEEIIIYRQscEAevviOO7T93c/c+rqoHlzibYTS6I4MtHT2ljYgaEtZndb48D1Oc8i6CWidPicROxmJ1pKqSiKOQTQ/KoUm+M4URQFUZoj8jCka88aVORsH6hUdHV2TkzF0tc7p3Fe5x8K0juP3lBxikSjsRTpM09dl/P4qAqu093SsP7yUqQoyv17uu5fdQljbPOKcBljEscsmun9f/V8AgDKZfLxHkUQhOuL7vP9xj21wgONsqqqAHBt0Xlho+gZACok+C/v7lTk/O/lEgn9zYHJAVsF8H4XSYQ9XGmbuq7rt/qBEEJUzT+ic9fneQD24Uahva0j72NDCCGEEEIIFScMoLe7Dx3ceal/8IXZm7+NX5rnJH6irQkzaJRPD5TDK8vMMw89Y2kHNBqPx5P/dRwnh/tP5jJREAzG64SLgkgzKHyuKy/5cs40OlhkkORaxUzI1eHR3o62fA4IFY3z8zEQvaNDz/QZAHardAv3SdjUp0YIeVez/MKIdyv8VJZN9tULFoWbtzoz4xyuFy/Pu6+MZ3Q/H+6UH9zdnvfnZRjmy9enRmw5VdXzLr/brFDHsROxm/OIhBBZlnmeX3L41+YFAOCB/lxvZaiiPL9jQwghhBBCCBUzLHBD0Nfd8bEubaXV/r/PcGMTk4UdEtpiamuqOyDseRUFMk3llaAkeaZ5thKJBAUYBm2aKGGQMkmfAUCWtvLaCE319cHEUs43n/NV5XEwqHiYphlLkT6nUutE66rx/ZC7d+9rb8tyac+mAEdvv+S7VxLM2fjskM4g/J/vaXnXno78ps+Msbevj/7dpYURO2VJ9b6AE3IjsVh05SwWWZZjQuDFZd+by+KpsAAAZZzz9KFmTJ8RQgghhBDabjCARgAADbU1Tx+ol8nNs2V/PA0Tk1OFHRLaYu5JvdxfhPEr3R5yC01c1yXZL3YgSWIOj1UqCCH72xvLEgs53z63anRU5OYj0ay2V+3E/tYt0nyjUHiO+7X37PrDD3ZluP0TPcr7Ota2D7IpdFZpj3elzH+DIvtvjzT8yvFdfn92EwwbGhod+/rpydNRMX1L/TGDk1d1/FBVdcqRz0UFBiTicgDQJJqfvq9T2tIzfwghhBBCCCFP2IID3eTz+T57pOvbr19bpBIA+eEUvNcdS+iW49g+Ta0NVfj9/i18CjbabIQQmdkm8cp8GWHvxMemaa5u6JwVnjoul+k+rcKOkZw7VJQIQsj+jpal5eULCZ6laOjMuTblvYP48anptuamzRwgKoDFmAlipgkgR92H2zdlCbttyHUzmtEhALrDvnpubZfnfZWgSdw3Luqet3qkAd5/OP8L+iUSiX+6umixjParfgGSu25JkgRJ/sn86h0LOxww79u7K+8jRAghhBBCCJUEDKDRbT71wI6Xzl49H5cB4LlZ4eY7RAeYjwHEFHB7FH1HU20w4McFylC2eiTzgu2RdUYYr6pqLBYDAMuyVFVNJDZeYgsACLmVXBuG0SKRIcgsU2asrzqQ6bhLXEV5+cPl8FKKNQlTpc+Qaz9uVOREIdN5RNVOYPqcRz6fL5PNOAId5UK5bC2bN3duBKBMht467bkh7xYcT3bLh/vyuaAfY8wwzBMDk4OWD8CjLVKVRO8tcw0X3g4LMRcEAg+HbMc0GAOfFnhpUXRWnZHCAXu8VW5uwiUHEUIIIYQQ2r4wgEZrHd2/s3F49McTzvqTbQ3gzxv+8wNxgFiraO5rCNZUhrAsGmWos6nhwlDE8yqD3ZrPyPAdxfM8r2oSMNuyHMfhed7MsPyZsV28Xhasz2jjrYKjLuWz2+H7lJQn+6PSVV8WGI5s0K+GMNoJic627fUZuQv6KtilpXT7N5GDp/epiUTi4zt9z4+YneVCZznPGKXA/fVZz2k59iv3BDtb83amQjyhXxmfuxzlTOABPBJzkbBjlbZpmozJHCEPhpxlm/iJbRmW4lNPh/mF2G2T0yHO+sShTkHAo02EEEIIIYS2NfxJgDx0tbX8Uk3iu+cmIjTVO4SM2MrIiCWMTPYG6L6WakVZ27ASoTUEQdCoGec8Ys3Ltu8ezY3H4zzPm6apKMrKMlapuK7rY/QiKScSU0XHILybQVN7jrqHg1AZ2nbJWmVibi6Q3bOura7epMGgAgoG/OrCTEJUU21QbUX3tdQKAi4Tl38/d6T7S8/2x52UGfTT+26eC+ImYg/Vcow58TiTVe0r6zpyJP3mkeq6mjx8Th3H6R+fPb/kRqgAkPKsiF6/Wy9asZju8/kYYwQIAKjM5AXphiNPzq/dAx8sd+7v7cFZaoQQQgghhBAG0MibpqpP3df5/NnrV/V0VZAOcOej3PlLi1W883BrsBKXtkdptfnYJdPjchc4HQS/308pTfaAXt1eI5VYLNYSkEZBjXu2lr6d5Np7A6S2qjK3kZe6XV2dczMZNTa5iVIsWtySCCEPtlSfGp5akoOrLxddq47p7bVVqq+xUGPb8kRRrPHBUIplIHsr+dXdhyilACD6/J7pMwH4nWONFWXB9VdlxTCM127MDhkCA5LmmPDBClsBxzAM3WHJsc054vmo0KS4s5Zq0bURMwH2ZJe/obbmDoeHEEIIIYQQ2howX0ApcRz36IGdTQODP5nZsHyJzLvi9wZ1jYs92qxUV1XdjfGhEsSTlEXKI47U5ixSxe9SUKnt9/uj0RQ5zSpBZnWBKxIWZfw40dJseay5fDsnqoSQdhoZ4jKNq9pJHGC7tMnebniev6+zyXVd3TAisbhfVTXVx3EBrFTdbLpuDEW9/8iqAEdb5GT5881LVJVw3F+d8UifRQ5+773tvjs78Wh+YfGF0XiY8mlKngGgQ3W7VDcWiyVXP5QkSZKkFxdFmxIAGDc8OkT7ifPUfR0C73EVQgghhBBCaHvavnEMytCuro6uVvtv3xqz2MbZRJzy/zJil42NPt5bq8jYQBatVVeunZ+2Pa+KMcHn8xFCB3UuqAgblj/fvFUsJsuyIEmaneAlX6ouHBx1t3P6nNTSUB8eHFlUN54f8pmxllZcfe5OUUopZQCMEI7ni27VVp7n/Zrm19JN26A8Yoz9j+eGPK8iAJ/Zq61OnwOBwFfOxi3qsXFQhP/2/h4+13iXMTY8PvnSLNjApT8IlDj2SMhOJBKxGAUAURRFWXlpQbDTHgwcVBMP3NOX29gQQgghhBBCW9V2T2RQJkRR/OwD7S+e678U37jRAQCEqfiti4udkv6unc2SmNFN0DahqSqwZUhRaDnjSkErXK9oFIhrW8leHBveZ7JZBy9JHECqrf3uBh2lt4k9Ha3XRyemxLJULwEAyFbiYDN2f86drhsDU3NXFp1Z59beTyLuw7XCjtYGrDLetr7606tuimm1p/epyRM+RFFUFMVw2DcvJDzT58O13JMP7MhtAJTSqyMTJxYFlrZdPgHWrtJujbquG4slkqPiJeXkshBLUb6dxAP9aKfWUNee2/AQQgghhBBCWxgG0CgjhJDj+3t6Jqf/dSieyVJvAHDD8g2enztWSzqbtt2CbygVnudrIDEL3kWXk65U6/NR6uggMtMURVEUxQ1XIzQMQ/SX9aftF1GvFF39aaH0tDQ2xOJXFmIJ2b/2OsYa3WhXy/b9wFqWtRyJLiasuOVW+MSQ31cWzKIxRSwW/+nAzLAhAZA1bQ0sxv9kmr0wPd4s24ebymqqQphEbysvnOkfCHtfJXAg8sTiOFVVFw06uez8eNCjUz5P2OcOhZoacjk1gVJ6ZXTqjQWgaY/6ZMIOljsKOJZlRaMuAGiaNmvzV2K8lTZ6BoBK3v7YPa0ynvmEEEIIIYQQ8oIBNMpCU0Pd01XWD84MTji3/cjcE7BVHt5cXlvszIC8MAPn5kce62sQsRQaAQBAX5V/dsG7DrCRty5bSoh3E5bbrmnxeFySpEzuUycbnI0+bdKurEe6Zfn92iG/ZppmOBafj5um42qyUK35ysuChKxLpbcBxtjIxNQbM/aSu/KdSAAcgKhCwo/Uce3NG6zLxxh789roqWUeIN07lgIZMaWRG3rr+NBj93Tkafio2I1MTD034qS6dlcFOTtjC5w0MWPeWPY+i6O7jD31ru4czihijF0eHn9zkUszcywQtjfgVsvMNE1Lt3QAQojP5yOEjBjC9fjGvT72B6yH9uZYl40QKk6MMdd1V6+MWoRW2rXpus5xJVxqkHwilmVl2ICuaNn2zT57pmk6TsovvpLgOA5jrMg/Apkr/o/zhpKfDsMwcqvhMFOdhpb6sTLfOJvPbXabb97Gm0o3dJGUzB5gZcdlWVZyDfDi2ZElRQAAIABJREFUlCzLK55XOTcYQKPsSJL05H07z10deHnh1o/Sy1GhUWHHK+23w3zYWXv8t+BK3zg/9/560tSwfSsr0YpQRbk4P297RcYjrgwA7dZSpSAQIgJAPB73+Xy6rqe/z6BrAO8DSHk4kiAZBdnbiizLNbJcU1nocRRaLBb77tUlnXr3wzUY9+Mp6Fwaeu/edI0FvnlqNOpm0ZN3xJReuzT4YB9m0FufYZp/fWo5zQYXFhiAlWaDT/b69nS35vBz68LA8MmwlKrqmQAcqbA1nhmG4VhO1AIAUFWV47ihBD8V4RhA3PV+0CBnR6gIABK4n9xXF/Bvx4krhLY2SqnruhsegBXWyu9w0/Q4caTk2LZd6qHtyitiWem+10pC8rkU+Ucgc8X/cc7QhqfGpmIDl75MZDXGGMdopjkfY7BpmSCDrO65WKLJP/vny5aTaZL7H97bXlNWyFPoVnZctm2vhNFFKPlNhwE02o727ezaYRjfPD1uMh4AXCCjBhk1uBbFiTiErcsBGZAfTbEDkRv37uwsxHhRESGEtEvWdduXcgPZJ/HEtu1AIJD8DvD7/bqup+kHbZqm3+fECFbZo+wMj479aJrARm2FbhjS4PBIR1vr+qsYY185OZbcE2blTFQ8whg24tjyvvnaYMa/YNaqVNh/PtaZQ1+LsYmJZ6cJA+8bCoQdr3Rs2zJ1c2XdQ5/PN++KJxb5NDN5APCAvMg4/g09CAB7lPjRA334HkZoS+J5XhTF8vLyQg8knXA4nKxWCwaDpV4Bvby8rKpqqTcyMgwjmXL6/f5SX/07Ho9TSgOBdC3+SsLS0hIASJKklfi605TScDic84c9ZruL8UyzRUKIQTNNcwkQICTjDDq746asti6eQ7LReT2qZzqdJvu08vJCljLoup6c2FBVNcPTrwsiOcjieZVzU9pfDKiAFEX57JGuNy5eeyssrvxeHTXSvKPI6bg6fnbkQ7sbS/2IBN2hvW2NA9fnKfE4evCBaxFBYU6yZwvHcY7jCIIgimKaAFqSJC7tQYKf4iKEaK23rg6dimR6kPHKPOloW3uh67pfOzVhstx+9JKJ6Zmm+lxa+qJSMT49NxjJ5YaawJ4+VFVfW5PtDWPxxDPX55PlyeuwHs1t81HDMGKxW78KOI7zqdpLC4LFNj6ifd0MAYBE6BM9wZoqXG8Qoa2MEMLzWU+v3jWrq8A4jivmoW4oGaMX+R88EyvJyJZ5LqX+LFbbGs8l5w87yaYFxybLJlPOZuOs7nmTZfMcC70DL5UdV3LqBQNotK3dv3vHrkj0+5emwzSj99KsK33j3OyTnf6K8uBmjw0Vs31i9IxTtv5yHfhrtq+FResUoJRyHGdZlmVZaSbtVX9g1BHSlz/3VeP7Dd3m7MBo5ukzACQobxiGoiirL/zBuRGD5T5PnnOXsVg8MRuODc1GwhadM1iVQjpDvl3NNaVeObXFMMa+dmou2x8DCg8f79X6OltyeLg3rgxd1H1rFsAEAALQF3AaFRaPx2OxW+86QoimaaM6d3U+i6PBbsV8/707sx0eQgghhBBCaDvDABrdqbJg4Kn7/ef6h16Zy+hnNgXy3Rvxj7ba1VXbvvvsNtbc2HhmJJbqWsd1AYRk+pz+fgghU8QXEzcIAWejibIgZtDopv6R8dcXs57fThjm6gB6am5hzLqjs7SULPNixtjIxPQPbsSW7ZWdLQcAcxZciZg/GB7bW84+sK8NV3wtEuPTc3Eni/S5SYMn9lQ21FbnUNoQjkR+MBBOMI/WRn1+p8nHdF2PRm87F9Ln803b4mvZRM8i0Me7Ag21WPiMEEIIIYQQyg4G0CgPCCH7ezp6mhLfPz8272aUyPzLiPlxMVJehpngNiVJksAch3jvgiJigNK467qSJCXb7cfjcb/fH4t5ZNZ8Bh26hi2++w5HjLYKSulPZnK5oSjclln/aCieqnl0tWDPORukwARYdWUo80cfGZv4/o1ExCFpKmrPL5OBV4d/40gLlkIXg9GZhQy3vK8G3rO3JeDPsTnjmf6RUxHJ84jufdU2vNPIMnkJz/OKokya/Nth3qRZJN3dsvHoPT3FfGYiQgghhBBCqGhhAI3yRlXVn7uv58K1gZcWMnlfke/fiP7CPYFS72KDcnY4SE9Eva+yGGGMGYbBGJMkKVkHzRgjhKxZ+JUxVuPGDZ6LrTvr/LY75KVYPO4v8cU3UF68cGEIQNl4u9sRYKvfP4ZhJGjK1s/zjgAAjzfQhXDstbj3NFujZGe496OUfu31G1N6uuh5RcIlf/rq6G891FrMa2hsE6osAqRb7kbh4aNd4p6e9pxTXcbYjy6OTqSsxGc/XRDu12KqqiYSCUmSBEE4sSTG4tl97RJgT3RojfVY+IwQQgghhBDKEQbQKJ8IIXt3du9h7O/e6F/2XgTpFotxI5PTbY31d2dsqNg01NWVhSfCnMc54wDA87zqD/AE4vF48pJ4PK5p2sp/VyQSiXrRFmXlKgkyAJYipLsyOXeoGwPo7Y4x1m96p88hkfX43TeWvL8W6yVndV7cPz4DkDI0TL4J/3WSA0h5kseH9jRnMuBwJPoXb027GawOt8Jm5N/PDX3o0I7Mb4I2w/6dnRdmr15euu1CjjC/SN7fyu/b2XmH1cS243zz3ByFlOnzuyoclWdLUeelaIAHyU3k8ih7fIlHDvTdwTARQgghhBBCCANotAkIIU890HN1YPD5GaBpS/Z0p3iWo0UF8HB79b+NRNfXdVrAnTT9AMAxelCDaPRmpXRy7df1bNu2bbtD0CVJmuPUOeKRMM7KFQldV33eeTfaJianplNdtWiTVOkzADvaflu7jKhuAqg5D+ORkLlhp2bG2NXh8f99w8xhSeuzYf6DjOH5JYVFCPmFo7sYYyPjk0CIwPNVFWVr1rHMDWPs/MDIyUjKRitNotlbxi3b8NqSxEACADf7R/FzzpN9tWVBLHxGCCGE0F3hJoA63ldRl6MxcHig78zfcxLwmR5WkTSVI+sfahscQfOEBORMw0AGYCbSndWHUIYwgEabZWdXR0eL9cy5oXGvs4OreLstQHa1ZlQDiLYqWZJ6ReOynTIUbhd0AEg2tDVNc03/jTUcx3EcpzbAz6VosHBiKnogZAU0FVdp27aWEwakrBhNqVux1jSsv5Nsd5dm9XV3bLjZpRuj/zKc46EezuwVD0JIW3NjHu9wdn7xudGEztK1+Z61hfH5HMur63hjxpWP1nJ7urBzPkIIIYTuHjbzPIQveV7FAVQAwMKqo9zQYVJ7PMN7dhnTXZrhxtsgfwbHpbGIUehRoG0HA2i0iSRJeuLQjtGJqX8d1tc0RnAAdjZUF2pgqHjsam0Y6p/ViXciXMFTAJLsZstxnGEYyWamae7Qtiy/YMU4j5DRWV76mxERYEEkTCRM4KBCZDsq5fqgUhWqwFR6OzCyL2nggB3f3bbmQpJ2LiSNfQH7Xb3tG+bXYxOTOafPANDso1j+vPUwxn58YWTclj2LeBp5fcK9OZlnZVHls5bKw2cPNGEPcYQQQgghhFAeYQCNNl1LY/2v19OXzly+aNzqwLvsit++vPhIFe1qbSrg2FDBEUKO1MjPz3nPSF+xfH2yAQCMMdM0KaXJaug0BFGKEY/oRLPjb4Rv7vFsRmxGgELEgZFxByAGEPPz7Fg9yaQ0FZWusuxnGT7VF1rf+6W7qebUtVi2d3VfuX1o58YNDWbm5r9xJZ6q/ELmmLlRjH5vfe7tQVBxml9Y/Ldh3YGUO8CV9DmVcs5uEY3zZiDVBhKhP7MzVBmqyH2UCCGEEEIIIeTFu6EqQvnFcdyxe3d/9mBDBX+rpo8BeXGe/9dzI5RmejoM2pIqyssbwLuoOQ5C8u2xUs5pmqYgpJw58/v9l4j3sm9DMykTvaSYS/5tHL704o0zl/szHToqNZ1trVlt/6ldZX7NI8wNlZcFuKza6rJP7vRnkj7H4vGvnFtK9V493sD/bKdUp6TbZ/IAfe357PmACosx9taVG/88bDg5HbMRYPdr8YfK9GUqpEmf7wvon32gA9NnhBBCCCGE0GbAABrdPbIsf/r+ng81cALcSk9mHOmrZ2ZOXb6OMfR2dqS7KVVPg1N2kDHmuq6maZqm+Xw+100f/Hkkd0EjPGNmeE46eXaG/9KLg4Njk+lbTqNSRAg57E/XwmVFneT8yoHaYMCf6n4+daBRyyCDVgh9X63zH+9vDpWXb7ixbdt//sYkS5E+l4lQ7wNCyHtblGMNKd/Pv7gniP03tgbXdU9dGfjK6emzCTXbhoQyofcF9F/YHTpeA2/G1VfCvlT3EOKdXz3UeHhvL75tEEIIIYQQQpsEW3Cgu62jvfVz7XDiQv/bEX7l9/AZPXD2zPTxOq69oRZ/A29Px6r5F+a9JyHesgKH5RgAcBzHGCOEeEbDoijG4/EGVZrk1paszi7pANk1X/jOgLFruv+xg90cviG3lgO7usIXh6/pKVvcikA/0Cw21m9QRCwIwi8dbh2bmDw5Y5qUuIw4DBxGKAOBMI1n91YLrfU1mffSdSn9mxPDNkv5fvtIuxQ2aRkPJ6btgYj37Mh91aShtibDR0RFy3Gc0wNj5+IKgLbx1rcjwH5hT5UkSZFo9B8vzple/aAFoAHOiVHhvY1iR9vGhfkIIYQQQgghdCcwgEaFcWRP97544pmLYzPOzXSGAXl+mpXNjn+wJ+TXsv7JjUpdqKL8YHzylK54Xnva1A7I8eS/VVWNxTza70qSpCgKZetSbMYGE7ns667EhIlXbzx9f6uU5fqElmXFdYPnOJ8i49qGxYYQcnxP+56FxdfHwhOWuDINxgOtl+yD9YG6mqrMp8GaGxua89Tu4t/P9C/Z3nXNHDAK5JvXrTQ37ws4cwn29hR5sMdQfd6fI1T8GGOnB8bPRHgGOb6IEqGCILx6ZfhKwnu5QgBwgGvWuId2t6/vb44QQgghhBBCeYcBNCoYTVN/9r4dY1MzzwzG7He6wYSp8PdXI++qWNjV0VLY4aG7r62pYfb6yCjx6FLqAFl2uDLeTZY/BwKBWCwmiqJl3Yrk4vG4EgiOkLU9E3jmulmevb4i4nB/fmL0Pz7YKqZuPL3CsqwfnBsdiIC1qohVJKwjAA+3l9dWV+U2BrQZqitDj1eGkt1dHMcVBD5Nb/G7wLbtU0spu2rQ1G/gRsXVCL20RN7SSTJM/39fHv4/Hu3BYLEUjU9NvzDlmszjrdjhc/3EPp/YOJW+1xf/1tkpi6VcrrBNMt69u031bbBoIUIIIYQQQgjlCwbQqMCa62t/ta7m9KVrJ8K3fi2/uiSePT32s/saeD7Dvr1oizjU3RK9PrnEeSQj1111D1tWBN51XUEQBEFwXVdRFMMwVrYRwKMvgcsJ7T5nSF+zu2MZ9lQ1KfnK68Ofe6gr/WbTs3NfPR9e373XZuRaBK6dC4tkmSfgMKAMKBAemMjDrjLYVSm3tzRh55mCIIQk30uFHgi8enEwVbFqKkcrrVenuX6drFnOYdkisXg8GEi53BwqQrZt/8ul6WVX8Fyc49FKc8zgz8dTZsqrsBMJ74VYAcBPnI/vbfD78RwjhBBCCOWIDXwHMl8pp/X9RCrLdGMhAL567wcFcBxH4IVbv5kEj3XCtxifyElcxt38bFfK+HUxLCe2bGy8HQAAEIDGCh+la+6cOa7LEW591YshCSF/psMmuOjSdlL4X90IEULu3b3zAGOvnr20stRSjAl/e3bmo21KdWWo0ANEdw8h5HhPw/f75x3iEcZdoOWNrtko2IwxSimldM0URSwa7fXDZbL2KKepQh7S16wXR/YHrF3VPsaYRUHmScyGn065UcdjVGGH+9e3rj9+qCfVsA3T/Mr5SPpE22bEXvX96gJxXTizCGcWLegfbFPdx3fXBwL+0kqiGWPzi0uvD85fjNx6IZoUtzdI9+/qKoZgt1S8tpBR+swDe6jKObcAEwnuR+Mpb3J+ZO5duzGALjqU0pHJ6bmlyKUIP71qWdRevz3LB9Mckv37QibRc5L3DoQH+uFWuaUJ2z0jhBBC6M7MnAbwXrnHQ+MxyDSKBHDjYM16XkOS6/msfljamvH9lqqo4Swn0rXgW425dDFiZrgxdTN+BQEYY8PTUWdtAJ2So9vRhJ35nWc+ElTqMB1AxYIQ8tA9u++zrB+eHx4zBQACQP5l2PygM9dYW13o0aG7hxDynkb12QmDeUWxk65UxdkSAVVVDcPgOC4QCCQSCdd9J1+mbh8fvgzB1cXIy77y3sDM5ehtezyVZ8neCxLHAEAhzmOt4v+64ZVAA1yOCQ8uLVdWlHtee+LKSLblq2sMJ/g/Ozmr8dNP9ARaS2QpzusjE/92QzcZWfPcxw1+3OCfmx3pCbgf3teqyJlnZ8gbB9CuOo7DroS5H45t3FujszbjShO0yRhjhmFeGJ48NUfDTvK1u+13mEzYEr+2cVC2gpwTo7xnqxYO2ENVdO+ODc7hQAghhBBCCKHNgz0iUXGRJOmjB3s+uauikr85afbDcccwM53KQ1uDX9OOVnpfxYCcs/0OEMaYoigAwBgTRVF5BwBwALshEoDb5l35mtom5bYi6BPL8phOCCFzBhBCRFE8O7+mSvo2z1ydS3XV9UjGzy2tuMv93ZX437w6sLQczs89bg5K6T+9ef27A4bJ0gXl16P8n746NjO3cNcGVroUznvy38+zfQHbMJwLC+RKONOv7IrAnQaa6M4ZhvHyhcE/eWnwT1+ffH4K3kmf19oZAvsODsYIsKNVrEqinunzLs3+3ANtmD4jhBBCCCGECgsroFExqgxVfPL+ivGpmWeHognGXxiaOLSzo9CDQndVVWXlMbL04oJ3KnfG8ldQvZXXk8FxstWD67q6rsuyzPO8TkkLiV8iZatPSK9oqK6Ym74QvVV++MYce2POAYA62WGMzVjpqpgnDd60LFnyOIuMpc1hszVncn9+ar63bO5De1tkOfOT1u4SxtjXX78xbWRU8U2B/O35pc8dFMvLUvalRQDw87sCX7sUW31Js8/lXHolzM3GsksnH27gFQWrzgtpemb2haHISCL5wqXbOdxTZo856T4aGkcPBJ1Xlr33A62i8cjORgB46cLaaZ5m0XjvHlxpECGEEEIIIVQUMIBGxaupvvaX62quDI621LYUeiyoACpDFcfI8ovz3g2qljhfp+gSYABACNF1XVGUQCDgMAAAJx4BQdjtIxdhVS8CQqCmfl+V648tnF7gdHorGJo2OQDggblp06JoLCGHPJKgrgBdWMzzCSWXw+TKK6Mf71J62poAIBqLzc4vAGM+n1pXU7V+tYe75pWLg9NGFo/OgHz77OyvPxwoib4ihdJYX/eLZPabFyMMoNfvjEXh2uLa1QUBQBPYY13Ks0PWkuk9NyNx7NH92Oe3MCil5/pHfjpFDerx2q2ncHQMNpiYiVPOM31uFo2Humo19eZCPcdqYGDJsCkJ8FQi7j3dLRVl2IYFIYQQQgghVCwwgEZFjRDS29kKAJRSy8q0AT/aMioryo+T5RdmXfDKLk9Zfo7RXe6cpmmKohBCGGPUtnVB9vv9AMAo3c2Fr0PAWhUGUY6PBGu6AkyzYtMLiWH91m4wffoMADTFIgn3dTe++eZMLs8wLQbkOwOmcGPAZbCqpXUUIMoBq/Wxn9lTVxa8q2vN2bb96ixLX9S5XtghS+FIqBwTsXSa62p+r7b6269eOzWX8s8bd8hzw9ZyivSZAPz2sZY1K3Oiu+PEhf6X5rjk6gUZ3qQ6IOvZP1ANb753Z51PUVZf2NVc39UMACDLMs70IIQQQgghhIoNBtCoNHAcpygKxtDbUKi8/ImA++yNuQTxKAOkhLsk1DaYiQaJEgBCiCRJAAyAmKZpWZbf72+3FxxJGQT/6mUJgZC4HAg0BPYyqi3Nvr4kZBIblQe9W+sGA/5WdXIkkV3wpwnAABLeqx7e4nj196BApnTyP0/OBoXpn+2tqKupyuqhczYwOZdt+pz09uDUowcwgN5AJBa7vLzBn3fRSLlU9G8+WK2par4HhdJxHOe1y4Mn5oVslyE9WmlecrLoj0GA9fqsQ92Noih6boDRM0IIIYQQQqhoYQCNSkkyhnYcx3E2Cu3QFsLz/Ad76k4OjI0yzXODSVAnLejiE6qTWElhZFmWZdk0TUEQzGh4p89yBGkINOf2U+MZ4WKhuvv88atTiVSrhCV1aq6UIvoBgCf3N/3Z65NuNs2gd1dw3eUcR0jMZt8byvEtHXG4r5wP31ux+P4D3XchfhpbiOb2xTFn4pq3G3v2wkRu+X5QZL/5SDu2fr6bLMt++fLwW4u85ydC5phJvV9KhWN9FXDJKc/wgTTiHq6EzpbGVB9wjJ4RQgghhBBCRQ4DaFR6BEEQBAFj6O3mcFdz2/zCa4vUJd6VhgOuWs6A6KzLR5NxjGVZyQxaFEXDMBjTO2VDFEUgZAi0WqpPE1+CCACQkLSWVk1emDm1nHKvKKRNeDRV/eW95f/fueXMA8Q35+ibc7TZRx9pkj/VLXy7P/f389tL/ODLA7/yQKvktUZiHqXoQbKxYMroHt3EGLu0lEuM2FfBfv5ITwHbgm83pmW9cGn07BLnWfV8rJ5r0LhvD3h/nHf5nQivjjgbl0vL4Hb56e6GimAgZZsdSZLwdUcIIYTQXSX7ANxMNx79B+bGM91YqwHe+zcDSy78c9v5rHgIhFCJwQAalapkDO26rm3bhR4Luktqqiofr3BP3JiYId6tMJY5FQDessBPnJ1CIpnGSpK0Uh7IGCOEzDHJJNwU8em3Z9lmZe2hoH5jKrZoexzQhJQNjnJqq6t+7QD/V6cXsipiHdO5b/XbDXfcOGHJ5r786uivHqpNE1fduaBPhOVcQuimMizO3ZjrveJmSkERnj5cUxWq2JzhIA9vXxv59wmHpVhjUCTsxSkK4PFC7i9zjnTXf6c/mn7/IALt8Vl7Wqr9mpamrhmjZ4QQQggVBnM9D3VSbMyAZX6A630QBbcOnlb/DMm1LgYhVCAYQKPSxvM8x3Gu62I19DbB8/xDPS1jUzNvxtJ1bY4x4ZQdBGA8Yzu4iF8SAIAxiNt0mGk642u4eETyCGoN0dfYrPQuT7+6eFspMU/YkZ0tGw6vKlTxO0f9f/XacCRtN4/1JhNZbe7NpOR/vjnz6wdpxaYt99fXXPPiVC7LLe5sqcv7YLYYQsg9Vezt+YxmLyQOPtYj7+5qxd4Ld83c/MLfXVw2aLplBm2vJjwHK5yjfW2SJM0vLnnelgB0S4mummBNqDxVi+cV2HADIYQQQgghVHIwgEYljxCSrIbGJQq3j+b62ibGftw/HSfp62qJS8hlVg7mzf8flGIdxvIlrnKG+fzUcTmvfSAh4Yr6Q37jykQ05nIArE5mnz7cJggZ7TAlUfzPj3QPDI384w2b5dTP904wIH9+av53H9EyHG22ggF/izo1msguXj9cSRUZK6A39sR9PTM/vT4eT/m2IcB2lMFH72nc1Dp3tAZl7Lsn+2/EM1qqdBV2uMI9tq9rpVS5KlTxQXN6ORxxgABjQU1tqK2WM/5oYPSMEEIIIYQQKlEYQKOtI7lEIcbQ2wQh5AM99WOTU2/HBCdFV+j1TpkacP4KN06A+W1zzl+TaktDVNrblIcruEBOSV9Xe+vvt8PQyNhzo0be1987UO6cTt2rGgD+/uTgU0d68vugKz5+b+uXXx11Ml5usclH37O/e5MGs8VwHPfrx3eGw5FrE/MvjVkWBYeCIpCACPtqxN6mys2rbUepjM/M/d2lCMvmeMkvsPc2cjs6O9Zf1Vhf11if3dkAhJDVfYQQQgghhBBCqORgAI22mmQMnWzKwXJeMQ2ViOaG+ibGro1NXjIUlklAQwgALHNqUHDnhI2zPFW9o97M7a3Nv9oKruveGJ8+O52I2sAR4AAmDeJmHOCud3qZ7w3Yl6MpT9UfSfBT0zP1dbU5P0QasiT92uG6v3lr2qIbP4VdQfrRg12bMYwtrKwseLgseLi30ONAAG9dHf7JJM2w8JkD1lcO7+qqLg8G8/LoHMdt9rKiCCGEEEIIIXQXYACNtiae53mex2ro7YAQsrOlsctxrk/OXjfETKqhGSGGzQSe0rSrJwvUycsyXzzP97Q29rTeuoRSev7GxI9HzczriG9HLkfFdtUZSqTch3/jUvR3NyeABoCg3/9fj3Y8e2bgzHLKv7afp5/oq6itrtqkMSC02U5cHnxpOqMtGxX3eEd5Y21VvuqUeZ4XBAGrnhFCCCGEEEJbAwbQaCtLVkMzxmzbpjTz5XdR6REEobelYRdjCV0fmJwbo4pB0q3lZXKiosctnx9SRDwitR5pKNukAIjjuP3dzXs76fkbYz8etXOLoYcSgkSYleK2DiMDw6NdbRsvnJgbjuM+cG/PexznxsTsjbnYUJxEHc7Hs0qJdga53a11Ab+G8RkqXeFINH36zBN2sMLZ21JbHvTnseW6IAg8z+NnByGEEEIIIbSVYACNtr5kA03GWLIvR6GHgzYRIURT1X1drfsAXEpHxidPmyl7aIR5tS0+O+O/rUyYMBayIs0BuaG2ZrMzII7j9ne37utilmVdGhg5swhTJpfVKmep0uekfxuyfqvtTgeZnigIO1sbdrZuvCVCpSVhmp6Xt/mcA7VKZ2ujwGfaej5DkiTl5ZQLhNA2xxhbWlpaXl5mjAWDwVAoxOd7f4UQQoVnL7LFE5luTKoBsluEA60ghNRX+Chd293UdV1CyPrD1xHdvltDQyUGA2i0XRBCBEEQBMF1XdvGfeLWx3NcR0tTO2Nv948MQ8Cz0nlYrNrrLLY1NRJCRHGlYrr8bo6TECLL8oG+ngNe137x+YE03aLLJLi3in9h0vW8Nu6SqenZ+rqUCy0ihFKpr6763WOV4XBYNy3NpyiKsnntmGVZxpJnhFBexGKxP/mTP7lx40Y4HAaAQCDQ0NCVNaKWAAAgAElEQVTwO7/zO6FQqNBDQwihvLKXIDGU6cbKbhAxgM4RZWxkNua4mS6vhfUUKBV8b6Bth+f5TY0SUFEhhBzsaXuis7xXTAjMI6g97wQTCX1V+lxcpLSpVNiCN2fSzab0LyTyPCCEtg1CSHl5eX1tTTAY3IyvDEKIoiiKomD6jBDKi3g8/sUvfvGtt95SFOXo0aNHjx6tqqq6fPnyF77whXg8XujRIYQQQmhbwwpotE1he+hthef53ramXoCZufnLi0aYSA55Z+9HyAuz9gd9piLLBR2jt/YAXA6nvLY3YF+OpovODQff2wgVHVxjECGUd4yxr3/96xcuXKioqPjyl7+cnDazbfvzn/98f3//H/3RH33pS18q9BgRQgghtH1hBTTa1pLtoWVZzuMSUqiY1VZXHdvR9NGemsdb/cer+R2i3kbi7YKxFI4Uemje3tfbkOba9OkzAPhEbPuIUBGRJElRFFEUMX1GCOWXaZqXL18WBOEP/uAPko19kke5v//7v8/z/OXLlycnJws9RoQQQghtXxi6IXSrPTSl1LKsQg8H3Q2SJIUkKVRedjcflFKa7SJjmqa+u44+P53jZGGVijt5hAqP4zgMnRFCmyoWi42Pj7e0tNTX16++PBQK3XvvvSdPnrx69WpDQ7pZbYQQQgihzYMV0AjdkuzLoShKtikh2s4YY4xltCbD1NTU6Ohotv2mH9jd3erLrZMGa6+rzOmGCKH8EAQhueoAps8IoU01Pj7OGAsEAut71nd2dgLAwsJCIcaFEEIIIQSAFdAIeUoeuzuO4zhOoceCih1jbHx8vKyszHXd9KvMNzY2AoBtp1s20NOnj3S9cO7G6/PZBViHq4iiKNk+FkLozhFC5KJsK48Q2qqSHTZEUVxfReH3+wEgEvHuNvbcc8+tn0fXdT0YDJqmuQkjzY/V0/+WZZV07UjyiTiOU8x/8Eys/G6ybTvD4oyi5bouY6zUX5EVlNI8Ppes1mVmjGX+A2ZTN854W8i0tuidzbPYFhhkOZJsNs5mIJsqm5FYll3YD5rrusl/FPlOOHmmfqnvWjGARiilZF8OXKgQpeK6Ls/zHMe1tLRs6gMRQt69v2v/4tI/XJhfsjP6iSVz7NF9nZs6KoTQejzPZ3uWA0II3bmlpSUAUBRl/fkWyZVOEomE5w2/8IUvrK+3aGhoCIVC0Wh0E0aaf/F4vNBDyAPTNIs5+8iKruuFHkJ+lMpHYEOO4+TxuWR1fmVWMTF1GZ/x1tSlma91Q+kmxr7ZbZ/5pgAsq803M5rMLpLPZut4Ih6NFkWoahiGYRiFHkVKybFhAI3QFpdcwgUAHMdJToYXekSoKExPT1uWFQgEKioq7s4jVoYqfuNoxZXhiZ8MJ8JOuhi6XXM/cagDT/lH6K7hOE4QhJIuwUMIlbTk/sezYCJ57IpHBQihvFhs/uXMNyYcyeLXc3Z7KZJ5nMtAaCAZT/DwUO/LYhzMx2f+FFkFn/kfhGUTOGYdhWcTytMsi8Iz3zyISxZtJ/hiI5SplYLoZBJd6OGgwmCMjY2NAYAoik1NTXc/b9rV1rirDQzDvDE1//ZUYjxB6DsHawGe9paxw131wYAff2cidHckvxoKPQqE0HZXVVUFAIZhMMbWHAMke38lG3Gs9/nPf359bP29731PEARN0zZnsPmRSCSSaYuqqqV+2BOPxyVJKvUTaCzLSr7ZFEXh+cyLU4uRaZqUUp8vmxiyKCXPDxAEIa+dwQqwZ2CMJRKJLfBh13U9ucst8h1sJhKJhCAI6xceKC0rOy5Zlov5kD65Uy3193/x/n0RKk6EEFEURVGklCYb8aDtw7bteDze3Nw8NjZWW1u7kj5TSmdmZlzX9fv9ZWVld+GLQVHkvvbGvnaAVRPjpf6FhFAJSZ4cgx86hFCRaGpqAgDLslzXXfMTOtmdo6yszPOGH/nIR9Zf+Oyzz/I8X8zpG2NM1/XkIZAsyyUdd1JK4/G4KIrF/AfPRLJvIQBIklTqmVSyL02pvyLwTgDNcVypPxfXdROJRKl/2JONxZMBtCzLJX3mHKVU13VBEEr9rUUpTe64RFEs/vWTSv2nBwbQCOWI47jkHsq2bSyI3iZEUSwvLweAlpYWSimllOO4kZERSmnyYCgSiSiKcpe/ukr9ewih0iLLMn7oEELFpr6+XpKkxcVFXdcDgcDK5YyxixcvAkBdXV3hRocQQgih7a6Ep1wQKhLJuTJJkkp6DhNljlI6NjYWi8XGx8eHh4djsVgyfeZ5vqWlpfgnThFCOUhOOnou8IUQQgWnaVp7e/vs7OzQ0NDqy4eGhq5fvw4AfX19BRoaQgghhBAG0AjlCcdxkiQlk2iMJ7Ywxtj4+HiyFTghJB6PJ+uMCCGU0tHR0UIPECGUTzzPy7Kc3LcXeiwIIZSSIAjHjx9njH3xi188deqU67qu6167du2P//iPAeCTn/xkMBgs9BgRQgghtH1hCw6E8ozjuOQiD67rJtsJoS1G07R4PB6LxeLxuM/nq6qq8vl8OOuAig1jjDFW2DMzeJ4v0Q5FHMcJgoDntSCESgUh5AMf+MDY2Ngzzzzzh3/4h6uvOnz48Cc+8YlCDQwhhBBCCDCARmjz8DzP8zxjzHXd5EIWaAuwLCsUCtm2nUgkKKWCIAiCQAghhKwsBohQoczPzxuGkVyKamxsrLKyslBLbIuiyHFcya3USghJ5s44pYQQKkWf+cxndu/e/fLLL58+fZoxtnv37gcffPDBBx/EfRpCCCGECgsDaIQ2VzLOEAQh2bShRIsB0QrG2OTkZPIFBYBoNEoIqampmZ2dbW5uLvToUI4YY8vLy7FYbGUWoampqdiqXxcWFlzXrampSf7Xtm1RFFdvQCk1DCPZCkYUxZaWFs/7cV03Go1Go9Hkk021WQ4YY8k9Hs/zlmWV1pRMctiY0SCESpokSUeOHDly5EihB4IQQgghdBsMoBG6SwghoiiKosgYs22bUlroEaFcEEICgcDy8rJhGAAQCAQYYzMzM/BO+lboAaLszMzMGIZhWdaaWt2xsbGamv+fvTuPb6rK/z9+btZm60JLoUChIKsWKQiyKOoAKiKKiqKIgz/3fRmXGR1l9Ksjgvs2uOA6I7jryIjCIOPgAiJQRVEGREpbutDSNWn23Pv744z3m29SSmkJacvr+QeP25t7bs5NmtK+88nnZNtstkMzDZnV6t8/ZrNZVdVwOCw/QiE7aWRkZASDQbnT7XbL/uNNTU3dunWT2XQgEIhu++P3+81mc2ZmprwKVVV9Pt/evXt9Pp/+TlhGRoa8r2bfG9M0TVVVg8EQCoXq6uoikUivXr3kfnkqVVXlt73ckKeSnwwQQuTk5MRE5AeR1+vdu3dvbm5uO1908g3CgzUrAAAAAEA8/ugCDjVFUeRiVtREd0YyaxZCmEwm2VnFaDSazWa9LhUdn6ZppaWlqampVqtV5qrRtyqKYrPZDAbDoSngjUQiiqLs3r1bb5es36/MhUOhkKzFNplMgUDAZDLJ/SaTSb4L0tDQ0OxUvV6vECIUClkslnA4HAqF9KpkRVEMBoPNZpN3KjNun88nhLDZbG63u6GhQUbJkUhEBtBWq7Vbt24y9g2Hw36/P/5O5XwkRVF++eUXq9VqNBplyGs0GjMzMw/Kg1ZdXR0IBNpcuy0vP3HhOAAAAAAgGgE0kDTRNdEk0Z2FoigykpM5nRCiV69eFD53CvX19Y2NjT179pQ56Z49e0wmU/zrzuFwBINBv98fCATS09NVVU1JSbHb7QaDwe/3G41Gi8XS/qpbTdNqamoaGhqCwaCsII5EIvv6YITcL9/w0GucW9lZ3uv1yiRastvtem/6QCDg9/sbGhpSUlLkCeU0mj2z3++vrKyUqXRr7lfehdfrNRqNKSkpJpPJ5XIZDIZ2fvjD7/fX1tYKIWSf6wNFvTMAAAAAHHr8GQYkH0l0J9KnT5/a2lqTydTQ0OBwOJqamsrLy3Nycjpav2AIISKRSFNTk9frDYVCkUgkGAwajcbKyspAICAbbjSbtHo8HrkRCARkwbvBYJCr0slqZVnzbjAYZI4ciUT2W4obiUQ8Ho/P59NnIl/sB/uK9y86jNZFN+7Yl9ZHzzqbzaZH/Far1Waztf+Hm9Fo7Nmz5wG93FhXEAAAAACSiwAa6ECik+h91SEiuRRFkW0E0tLSVFUtKytrbGyMRCJpaWlpaWlVVVXdu3cn50ouTdNqa2ubmpp8Pl/MiygUCkW3iWilmOxVJshy2263t5A+q6paXl4uG1Ychm8syZ4eLpfL4XAEAoGSkhJN02Tlst/v37t3bxuqmA+ob4asVef1CAAAAADJRQANdESyZE9+VFw2gU32jLqCkpKSNjeN1WmaJiPFXr16mc3m3NzckpISt9vt9/vr6uoURSkvL+/Vq1cgEGhbvoaWaZq2e/duVVUVRRkwYEB0vqw/NTFr8SWI7CmRk5MTn2/Ktft2794dCoUCgUCiZ9LBud1ut9ttsVhk7/vi4mIhhKIoubm5CbpHq9VK6AwAAAAAHQcBNNDRGY1Go9EohFBVNRQKHZqF0bqk9qfPkly0raioyGq19ujRQwjhcrncbrcMPRVFkavGWa3Wg3J3iCYf3mAwmJKSYjQaZVsMo9EYCATKy8sbGhoOwRwsFovVanW5XBkZGdH7VVVtbGyUFfHBYJBPMEQLBoN62bgQwuFwlJSUZGdn22y2g3J+uagguTMAAAAAdEAE0ECnoWeatIpOilAoVFFRkZKSkpmZ6fV6fT5fU1PTrl277Ha7pmn66mqapjU1NQkhIpFIXV1dIBDo2bNnsueeKMFgsJWpn9/vl3WpwWCwsrIyNTU1PT29heNDoZDJZJJn1rsuBIPB0tJS2dghEAj89NNP8r2ZzMzMvXv3Ntvd+CAyGAxysT6Hw5GdnS2EiEQitbW1Pp9PLusn1/RL6By6Ervd3v43aUwmk3wf4qBMCQAAAACQCATQQOcT0yo6EolQFn0ImM3mHj16hEIhu91uNpuzsrJko2EhhKIoDodDVVX5peT1esPhsM1m83g8mqa5XK7kzb1dmpqagsFgRkaGpmllZWVpaWn6tezZs6dPnz51dXV2u33Pnj19+/YNh8M+n8/j8aiqqrfG9ng8NTU1shuvbE8RDAbr6+sbGxsHDRoku1UIIXr06FFZWdmnTx+v11tZWdm/f38hRE1NjdvtlmcLhUJ6WXE4HNa3g8FgontupKSkyBxc1tGXl5criuLz+WQajlaSIb5820DWraekpBxofCyXf2TZTwAAAADoLAiggU5MbxWtaZoeRid7Ul2Z1Wq1WCylpaXyy9zc3PT09Lq6uqamJvn4u1wumcDKA2TbAVkZ7fF4cnJykjb1A1RZWZmdnW0wGEpLS+XbG7JgWVVVGTfLDLFPnz719fVut9vj8Qghfvnll1AopKqq/o6Ix+Opra0NBAIx35lNTU0ytd+5c6eqqh6Px2azFRUVRSKR0tJSq9VqNpt37tzp9/tb08jiEHR8lul57969fT5fdXV1/PKGaJmiKE6nUwjh9XojkYjBYPB4PPKJbmVvHIqdAQAAAKCTIoAGugKZjskuqDIJJR1LEEVR+vTpI1Ow6upq2XLB5/PJgNXv9zudTqfTKQNZye12CyFcLpfsVpykibdWSUmJEELTtO3bt3fv3t1gMNTX17tcLj12F0KUlZUZjUbZ6bjlRfY0TdtXZwxN06IfJb14vKOt2ud0Oi0WS8+ePeX6hzI/TfakOh9N0+QLQVJV1WazmUymgQMHRveGjkFnZwBIFrn0SLJn0ZJwOCwXJZZvfid7Om0ne+uFw+EO/oDvl/7ptHA43Nn/75bdDjv7MyKEkJ+UNRgMnf1aVFWVr5FO/WIXXehlIp8Ro9HY2b+19I/YdvAfwh15bq1HAA10NXpZtBBC07Qu8P90+1VUVOg/sjVNk//ZZ2ZmWq1W+UAdEP2z//qG3W43mUzhcDgYDDY1NVmt1qysrEAgIJtvyGP8fn9ZWZnL5UpPT++wv22Ew+HMzEzZHENV1erqavnNEx0dSvJ6kzHHQ0f2WunZs2d5eXlJSUnMMnpoA0VRLBaLxWJRFMVms2VlZTX7kJrN5o7/Vg0AdG3/+te/xo8fn+xZAACALkKhdSxwmJDvUh62YbTH4/H5fKqqRlf0aJpmNBotFovD4XA6nZqmNTQ0mEwmh8MRCASMRuO+4mmTySSLbmRZQTAYNBqN5eXl8lav12u32/v27VtaWtrY2Bgz1uVyZWdny+XsOoiysrJevXoJIVRVdbvdbrc7ftqHFdnxWVEU+d3S0YqyOxez2ZySkqJpmtlsdjgcaWlp8ccoimI0GumwAQAdxH/+858O/puAqqrPPPOM2+02m81XXnllyysbd3zyt8rO/p/g2rVrP/vsM0VRLrjgggEDBiR7Ou0i/2LqAgtOLFy4MBwO5+fnz5gxI9lzaS9VVTv7M6Kq6t/+9je5+M2tt97aof4ebIOu8YNr9erVX3/9tRBixowZ+fn5yZ7OfgwbNqzzriwlqIAGDh8Gg8FiscjtThdGt/+/t9raWrkhe5XIDSGE2WyWddCVlZUWi8Vms1VVVdXU1AghgsGgrGU2GAxGo9FgMOi/9FRVVfl8PrnCXiQSqaurCwaDsvA8LS1NrhLp8/lSUlLkcnzRM3G73bIXR/fu3W02W5uv6CDq3r17fX19MBj0+Xx+v/9wbjEh23xrmtbU1NSJXiAdh8VisVqtsq7ZZDLJd3eaDZ2FEDJ07ux/SwBA1zN06NBkT2E/QqFQbW1tVVWV1Wo96qijevfunewZQWzdurWsrExRlH79+h177LHJng6EEKKysjIQCAwfPpxnpCMIhUIvvPBCWVmZEKKgoCA1NTXZM4JYt26dfEZycnJ4mSQaATRwONLDaE3TVFWNRCIdOWvTNK2yslI2fDCbzRkZGUKIpqYms9lsMBhMJpPVahW/Bsr70rdv32AwaLFYAoGA/KNF7g+Hw16vNxAIyI+DyKJmmTXL0lePxyPLM4UQFovFbDbLik6Px1NdXV1VVaVXSWua5vf7jUaj2+2WzaT29aiGQiGj0VhXV5fEAHrv3r1ZWVlyWy4tqK+deDjrGt3lDhkZMevtMmRncCGEw+Ho2bNnsy9J+ZrtAuUSAAAAAIBWIoAGDmv6J9/Fr2F0OBzuaJ15FEWRDSJkUF5bWxvdEiESiciiZlmPXFJSYrfb5cJ3BoOhV69eHo/H7/enpaXJnNpqtVqtVrvd3tDQIFsb6ysPRJ9TrwKWWaT8Uu9XKx+3mFEyfYtvlxwvFAqFQiGXy7V79+5evXod+grQ8vLycDhcV1cn0/yUlBS73W6xWHw+32He5vhwrv5uPavVajabZbFzamrqfltnmEwm2msAAAAAwGGLABrAf0WH0UII2dq4I4TRpaWlcj5CCJfLZbPZogNovZrS5/P5fD5N0+rq6mQJs6qqO3bssFqtaWlpe/bsEUIYjcZevXrJwDojI0PGr3qFtaZprYmPxa/rlcfsPNDsMhAIWK3W3bt39+3b94AGtp8M9MvLy+UjUFxc7PF4zGZz11hdFweXbEuif+l0Ort167bfUbKFOqEzAAAAAIAAGkDzFEWRJcOS7EtwCPJo2QFDtsIIhUJVVVWyAbTH4xFCyIBYhsutPGEoFPJ6vQaDQUbG4XBYURRN0xRFkQ0Empqa9OvSm/prmibvMXHC4bDVak1iF45evXqFw2GfzycDfdJnCCHMZrPJZJJ9z00mU3p6eiu/ReU7WPtatxMAAAAAcNjiD0UArWI2m+VGojt1+P3+xsZGGYYGAgH54f2YLPhAW/SqqqoPSXSs3HqqqoZCIYfDccjuUXapbmhokLXtmqbJx5m+E9DbqSuKkpWV1crQWY5iFUEAAAAAQAsIoAEcmJi20foyhgcrj3Y4HHa7Xbbd0EuwZc3yQTl/UsgGuFoUh8PhcDgyMjIOTcVoJBIpLy8PhULBYJC4GZLJZJL1zikpKfJ1t9+OGbIyWn5G4dBMEgCAeAaD4fTTT3e73Waz+VC+l48WDBky5Nxzz1UUpUePHsmeC/7r7LPPDofDRx11VLInAiGEMBgMv/nNbwYPHiyEiG5whyQ6+uijzz33XCHEoe+KeRjq3JkOgA5FhtEyj27bGUKhUH19vcy4hRAejyf6Z5Q8fzAYjO+/3MHJ5dpMJlO3bt00TZOrKaamph6Cu45EIvX19Q0NDT6f7xDcHTo+u91uMBhSU1PlypP7jZLlG06UOQMAAAAA2oYAGkBCyJ8tciXDAxqlqmpVVVUoFJJjFUUxm83NZmStXDCwg5B9q2USLfdYrdb2V4hEIhF93chmby0qKopesxGHJ7PZLNtrRO/c13KCsrGGXNvzUE0QAAAAANBl0YIDQELI6EpRlJSUFH1nJBKRxb8tjDIajTk5OfJLTdNqamr8fr8coldY+/3+BE//YHI6nc0GeYFAIBgMxnz8yu/3xweF+1JcXOz1emUjBUVRunfvbrfbY87G0oKHLYfDEV22bDAYsrKyol+POrl4IHEzAAAAACARqIAGkBx68+jWrChYUlIihHC5XCkpKYqi1NXVhUIhGWfL5RD1guuEz7utbDab7AQthNA0TTbI06uhpaqqqtraWrvd3soWVBUVFfX19fIBNBqNdrvdbrdnZWXJ2FFRlFAoVFZW5vP5Wvk4o9ORdcomk0lvpiE7Zsj3Nrp37x5fIC/f5tEb3QAAAAAAkFAE0AA6CtkcuYX1DH0+n8fjie5lbLFYDAaD3jEgGAzKDtEy2papa0cLXo1Go9lsNpvN0TvT09NTU1M9Hs/evXtlMqiqqsvlMplM0QXUMrmOHlhdXe3xeLxer77HZrOlpqZmZWXJL0Oh0J49e1RVlVXS4XA4HA4HAoHoFRETfMU4mOR3u9lsNhqNNptNfi+lpKTsq0ezTKjl4oHUOAMAAAAADj0CaAAdlMxGZYjc7E8qmTKHQqFQKBQOh10ul8Viqa+vb2xslAf07NkzHA77/X6Px6OqalNT06G9gtZyuVxyw2q1pqWlmc3mcDhstVr9fn9jY6Pf709JScnKyopEIhUVFUKIlJSU7OxsOcTtdtfV1cW0w7ZarXa7vVevXjF3pKqq1+utra0VQhiNRn2tyGAwSJ/ojslkMskFACWHw+FwOOT7LvsaIoNmefyhnCoAAIeGqqo//vjjli1bAoHAwIEDCwoKnE5nsifV9TU1NZWVlZWUlOzZs8fv92dkZAwZMmTw4MExRRVSUVHRqlWr4vcrijJ16tTc3NzEz7frU1X1xRdfbPam7Ozss846q9kh27dv/+GHHzweT15eXkFBQUZGRoKneRjRNG3x4sUtHJCXl3fKKafI7RaevqysrHPOOefgz6+ri0Qi9fX1ZWVlO3furK6uVhRl2rRp8X8RRwsEAoWFhdu3bzcajfn5+UcfffS+/oDSNG3nzp3ff/99XV1dnz59CgoKunfvTnHPgaIHNIAOSq/c1PfIrh2apoXDYSGEjNjiS4nT09P1Ly0Wi91uz8jIiEQisoBaLoooo+0O0ktaj4/dbndtba3NZjOZTHa7XXa7loWue/bskd2cNU1ramoqKSmRbTqcTmddXZ3NZlN+5XQ609LSYror1NfXp6amlpWVyUfP7/fz7mOHZTabZT8NRVEsFkt2dnbL6wGazWa96cohnCYAAElQXV394IMP7tixQ9+TkpJy5513jhgxgndeE8fj8Vx44YXx+3v37n377bf3798/5peQioqKjz76KP54RVFGjRpFAH1QaJrW7IMshBg4cGB8AO12ux977LFNmzbpeywWy6233jpmzBiTiVzo4NjXMyJNnz5d327h6evfvz8B9IHSNO3ss8+O3mMwGMaOHdtCAP3999/fd999MhwQQrz99tuZmZl//vOfe/fuHXNkU1PTiy++uHr1an2PyWS6+uqrf/Ob3zT7Dhz2hR80ADoNvWttzC9JoVBoX1XSQohIJFJWVhZ9EvmvpmkWiyUUCnWoKFav1G5oaNB31tfXy+Uc5eVbLBaLxdLQ0JCamqooyn4bRpeUlLjd7oqKio7WjQSSyWSy2WxyIz09PWYlyWiyGprezQCAw1N9ff0dd9xRXV09ePDg2bNnm83mzZs3v/fee/Pnz7///vuHDh2a7Al2cd27dz/jjDP69esnfxF96623ioqK7rzzzgcffHDAgAHxx59wwgnTpk2L2dnKlU7Qevfff39MCha/6HRTU9Mdd9xRWlras2fPSy+91OFwbNu2bcmSJQsXLrzllltOOOGEQzjfrmzBggXxO/fu3fvMM88Eg8HZs2fH33rffffFLErf7Jrh2K+MjIyCgoLBgwfn5OQsXrxYfnR4X0pLSx988MFQKHTaaacdd9xxkUjkww8/LCwsvPvuu5988snU1FT9yEAg8PDDDxcWFjqdzquvvrpbt247d+587bXXnnnmGY/Hw1sFB4QAGkCnF//Go95LWtM0o9HY7G+6lZWV8jB5BtnrIxwOB4PBFuLsZNE0Lbr5tdPp9Pl8drtdVnbrn57TNK2ysjIYDMr5K4qSk5Njt9vdbjfpc0cgi7OMRqPsrSFL3dPT0+OLl+XSgvLgJEwUAICOZ9myZdXV1cOHD7/33nvlr3/Dhw+3WCxLlix55JFHnn32WYrREsRsNj/wwAPDhw+P3jl+/PgHHnjgm2++Wbp06d133x0/Kisr68gjjzxUczx8DRs2LCbBjPfVV1+VlpYeccQRCxculAcPHz48PT39qaeeeumll8aNG7ffM2C/FEVp9ht+zZo1fr9/9OjRet/FaMOGDYtZlx5toCjKa6+9pn/ZQkGPECIYDN57771NTU1nnnnmpZdeKv9AO+qoo+6///7Nmze/8MILt9xyi/6Rmm3btn333Xc9e/Z84okn5Gnz8/P79Onz5z//+b333ps2bRpvGLQeH1MC0AUZjUaLxWK1WhrQsDcAACAASURBVFN+ZbVaZeQnuxk0NDTIoNnhcGRkZLhcrszMTIfDYTabu3fvnpmZ2a1bN5fLJVtbJPtqmuHxeNxu944dO3bu3Ll3796SkpLa2lpN04LBoNvt9ng8TU1NTU1NHo9n586dsukzkkhRFLPZ7HK5HA5Ht27dMjMzBwwY0K9fv969e3fr1k0WNVut1pjvWKPRSPoMAIDum2++MRqN559/vh40K4py7rnnWq3Wqqqq77//PrnT68KsVmtM+iyEUBRF9nn45ptvZH88dFiffvqpEGLatGnRQfOkSZNsNltdXd1XX32VvKl1fbLVRkFBQbIngv+SfyCnpaXp6bP4tSON0Wj8z3/+4/F49IM/+OADVVUnTpwoP7EqFRQUZGZmut3ulStXHurZd2YE0AAOC7Ke1Gw2y5ivR48egwcPHjRoUHZ2tkyZZR8PRVGampoCgYBsuGwymZxOp8vlavb96qSTldoydK6oqNi+fXtFRUXMe7ByncZkzfAwZzab5fdPnz59cnJy+vXrl5eX16dPn549e0YHzVar1Ww2t9zoGQCAw5zX6y0pKXE4HP369YvebzQaTz/9dCHE5s2bkzS1w5fD4RC/LtyS7Llgn3w+37Zt24QQRx99dPR+g8EwZ84cIcTatWs72qc/u4yioiL54E+cODHZc8F/lZaWRiKR0aNHx6wc4HA4+vfvX1NTU19fL/fIVQqFEBMnToz+Kae/dlauXMnnjFuPFhwADmtms1mmhNE75W9gqqqWlpbK9FZRlPT0dNmvQ3b2kOGvGiUp848WDocpPzn05FKZBoNB3xC/ljz37t3bYrGwJhIAAO1XWloqfn1zN+amwYMHi/+7fgYODbmi3dFHH93sZ7a2bNly55137tixIysra/z48SeddFLv3r35dNdB9/zzz2/YsCEUCh155JGTJ08ePny40+mMDsv27Nkj/7rp1q1bzNj8/HwhRENDQyQSYSnCg07TtHfffVcIMXXqVL1lYoyXXnppw4YNPp9v6NChkyZNKigocLlcvKOTUNXV1UKI7OzsmP1GozEjI2PHjh21tbWyh2dNTY187cQvZig/FOJ2u4PBIF04WokfMQAQS/6XbzQa8/LytF+Fw2Gv1+vxeHw+n4waWz6JrE3W19VFp6CHyFL830iyxkc2eNH/lemz+PU7J3oDAAAcFHJNabkeb8xNsg5XLuOMQyYUCq1cudJsNs+aNavZA7Zv3y43ysrK3n333WXLlg0fPvy2226TzxcOllWrVsmNDRs2bNiwITs7+8Ybb4wudq6qqhJCGAyG+IhZLrYWDAbD4TAB9EHn8/l27NhhMpnOPPPMfR2zYsUKuVFYWFhYWJiZmXn11VePHTv2UM3xcCQbVMb3PZclROLXl4wQoq6uLnp/NPnaUVU1EAgQQLcSP2IAoCX6hwpll95m37vWNM3v9zc1NXm93lAoJCuj9UXk5PKGfK7tEJNPnIyG5R+r+tsGelgsmc1my69kr/Bkzx0AAMSSTTntdnv8u7zyDWN6jh1KjY2N99133549e6ZMmRK/8Frv3r3nzZs3ZMgQWa7e0NCwfPnyVatWbdq0aenSpVdccUUyptzVKIoyZ86cCRMm9OjRw2w2h0KhnTt3LlmyZPPmzfPmzXvyySfz8vLkkV6vV7T42pGLtx/a6R8WioqKKioqZNfHmJsURTn//POPP/74nJwcs9kcDoeLi4tff/31wsLC+fPnP/LII4MGDUrKnA8Hfr9fCNHsorXyNeLz+aKPbHZdKPk3oyxTS+hsuxL+zAaA9lIUxWazRa9LEC0Sifh/JcNoPZKWUXX0l7pDfAkdlh4TCyGi21zoabIeMct/jUaj2Ww2mUwWi0V2/aYYGQCALkBWqwUCgfibZCc0el4dMpqmPf3009u3b588efK1114b/4mxfv36RbfqzsjImDNnzpAhQ+6///7ly5efd9556enph3bKXZDBYDj//PP1Ly0Wy5AhQ+bNm7dgwYKNGzcuW7bsxhtvlDfJpExGaTHkHx38tpwgzz77rBBi9OjR8Vmn3kRYMpvNAwcOvOuuux599NG1a9e++eabd911Fz/TEkT+yGo2OJavCL0gSW40+5lmvQMnT1PrEUADQGIZjUaHw9Hyhw3le6ehUEj/VydLEmJ00sBaL0nWy5PFrwmyzmQyGX8lt/V/TSYT/8EDAHB4ysnJEULIVaNjfh+QyRqNHQ4Nj8fz1FNPrV+/fuLEiZdffnkrPzqmKMqoUaMcDkdTU9OmTZsmT56c6HkehmSbuHPOOaewsFD2TJe6d+8uhJB/VsS8WyAb1/ARwETYuXNnSUmJyWSaNm1aKyN+s9k8Z86c9evX79mzh87CiSObocd/aEYvZ5YvGSGEfKtM/lUe8xqRrx2DwWC1Wg/BnLsGfsoAQPLJRhDNfg4onr7soSydlht6VB2/OqL8MvoMMrDWY+vo/Dr6pmb/jf5SD5T1EFlE1SzLNFnWI8t/ZSsM/V/WTAcAAK2Um5srhAiHw36/3263R98k20PH7MRBp2laKBR67LHHNm7cOGHChNtuu+2AfpEzGo0DBw7cvHlzZWVl4iYJl8tlsVjcbre+p2fPnnLD7XbH1J7v2rVLCGG1Wlkc8qBbs2aNEGLKlClpaWmtH2W32202m9fr7QhL3HdVWVlZorl1a1VVlbGyPEAIkZmZKTfq6ur0VFqSrx2TyUQA3XoE0ADQycgeFIk7/34zaP2wmOJl0mQAAJAgGRkZmZmZbre7vLx84MCB+n5N0+QibEOHDk3e7A4L4XD4wQcf3LRp08knn3zZZZcd6C9+kUhk27ZtQog+ffokZoIQQojGxsZAIBAdeqampubk5FRUVGzfvv3YY4/V92ua9t577wkhCgoK+JThQVdYWGg0GidMmHBAo+SqQpmZmbwlkDi9evUyGAw//PBDzP5AIFBcXJyWlqa/T+NwOPLy8nbt2rVhw4Zp06bpR2qa9u677wohxo8fzzPVevyUAQD8H3p/DFmnrLe/kDXa0ev1Rdc1kz4DAIDEURRl9OjRwWDwyy+/1GsDNU3btGnT7t27rVbr2LFjkzvDrq2hoeFPf/rTpk2bxo8ff+WVV7ah3nzt2rV+v99sNhcUFCRihhBCeDyet99+W9M0+YkBSVGUKVOmCCGiXztCiG3btu3cudNisZxyyilJmGuXtmPHjuLi4tTU1ANaS9Dr9b766quqqsqVCRM3vcPcoEGDbDZbcXHxhg0b9OIqVVU/+eQTj8fTr18//f0bRVHOPfdcIcRXX30V3TN69+7dW7duNZlMs2bNOvTz77wIoAEAAAAAHZ0sQPv73//+3HPP+Xy+SCRSWFj4+OOPCyGuvvpqekAnjqqqDz300I8//njKKafceuutLX/k3OfzvfHGGyUlJXLFSE3T6urqFi1a9MwzzwghzjrrrAPqSIB9+eqrr9avX9/Q0CAz5VAotGXLlj/+8Y+bN28WQsjUTHfCCSeYzebPP/984cKFjY2Nqqr+9NNPCxcuFELMnDkzNTU1KZfQVWma9sQTTwghpkyZsq+3ajZt2rRu3bq6urpIJCKECIfD27Ztu+uuuzZu3CiEmDt3LjXpieNwOK6//nohxMMPP/zZZ59FIpFgMLh06dK//e1vQohLL700uqh55MiRPXv23LJly7x582pqajRN++WXX+6///5AIHDSSSdlZGQk7TI6IaWzLF0FAAAAADicrV+/ftGiRXV1dfoeo9E4ffr03/72txaLJYkT69qKi4tvuOEGIcS+PvH26quv6kGMx+O58MIL44+x2+0TJ0685JJL6NZ9ULz44ovLli2L3z9gwICrrrpq2LBhMfu3bNny9NNPV1RU6HsMBsNJJ510+eWXO53OxM71MFNaWvq73/1OUZRXXnllX4/tO++8I+POGH379r388sv5lEAbLF++/IUXXpDb+npF8ssjjzxy/vz5MT++3njjjbfeeiv6MwEpKSnXXXfdiSeeGHPmn3/++ZlnnikqKtL3KIoyZsyY6667jgD6gNADGgAAAADQCYwdO/aYY475+OOP//GPf3i93uOPP37mzJnZ2dnJnlcXJ1eWbuXBTqdz8eLF69ev37BhQ1FRUTAYPOKII0466aSJEycSPR9Ev/3tb4855pi1a9f++OOPVVVVaWlpI0eOnDZt2oABA5o9Pj8/f9GiRatXr162bNnevXvHjh07c+bMvn37HuJpHw62bt2qqurEiRNbSPZnzJgxZMiQtWvX/vDDD1VVVU6nc8SIEdOmTRs8ePChnGpXoijKvtoxN1tOPnv27OnTp7/99tufffaZ2WyePn36WWed1ewZBg0a9Pjjj3/11VcffvhhSUnJyJEjZ86cOWjQIFpQHigqoAEAAAAAAAAACUFbGQAAAAAAAABAQhBAAwAAAAAAAAASggAaAAAAAAAAAJAQBNAAAAAAAAAAgIQggAYAAAAAAAAAJAQBNAAAAAAAAAAgIQigAQAAAAAAAAAJQQANAAAAAAAAAEgIAmgAAAAAAAAAQEKYkj0BAAAAAACAjkXTtJKSksLCwp07dzY1NWVmZubl5R155JG5ubkmE1kKABwAfmgCAAAAAAD8l6Zpv/zyy0UXXbR+/fr4W3Nycu666665c+e6XK7o/TfddNOiRYui9yiK0rNnz5NOOumCCy4YN25cRkaGoijRB+zatWvMmDH19fXRO81m81FHHXXaaaddcMEFAwYMSElJOXhXBgDJoWialuw5AAAAAAAAJJ+maS+//PJtt91WX1+fnp5+zTXXDB8+3G63B4PBX3755fXXX//xxx+FECtWrDj11FOjB15//fV/+ctf9nXanJyc22+//eabb47OoIuKikaNGhUTQOuMRuPo0aOffPLJY489Nia5BoDOhR7QAAAAAAAAQghRW1t7991319fXjxgx4ocffpg/f/7s2bNnzJhx3nnn3XHHHVu2bFmzZs2JJ564r8LkHj16aL9SVbWxsfH111/v169fRUXFLbfc8vzzzzdbBThp0iR9VDgc3r1795VXXmkwGNavXz937lyPx5PgiwaAxCKABgAAAAAAEEKIxYsXV1ZWOp3ON998s0+fPvEHnHDCCZ9++un48eObHR5dqqwoisvlmjNnzqpVq+Sexx57zO/3x48yGP43nDEajb179160aJFs6LF9+/bbb7+9PVcEAElHD2gAAAAAAAAhhHj22WeFELm5ub169drXMQe6COGgQYN+//vfP/TQQz///HNJScmQIUP2O8RoNJ5xxhm5ubmlpaXPP//8I4884nQ6W3l3u3bt+u6773bv3h0MBp1OZ3Z29hFHHNG/f/99nUHTtB07dvz4448lJSWqqnbr1q1fv35Dhw7t3r17dDKuq6ys/O6773bs2KFp2sCBA0eMGJGTk9OaJiENDQ2bNm3avn27x+OZMmVKQUFB9K1ut/vbb7/9+eefGxsbe/bsOWLEiGHDhtF7BOgaCKABAAAAAACEpmmlpaVy4+CumDV9+vSHHnpICPH111+3JoAWQnTr1q1bt25yPuXl5YMHD97vkLq6urlz53700UfxN6Wnp9fV1cXs1DRt27Zt06ZNKyoqih/y3HPPXXXVVdF7vF7vzTffvHjx4pgjb7jhhgULFtjt9pj9CxYsmDdvnhCivr5+7dq1M2bM8Pl88qa//OUvegAdDoffeOONyy+/PBgMRg8fOnToqlWrmq1DB9C5EEADAAAAAAAIRVHGjx+/du3a4uLiHTt2HHPMMQfrzHr18d69e1s5xGg0Go1Gua3nti2or6//zW9+s3nz5uzs7KuvvjovL89kMvn9/l27dr3++uuNjY0xx6uq+thjj91zzz1er7d3795XX311nz59DAZDXV3dv/71r2XLlsUcX1xcfO65527cuNFqtV5xxRWjRo1SFGXt2rWLFy9++umn161b9/nnn9tstpi7CIfDQognnnji3nvvHTNmzJw5c1JTU2tra3NycvRLmz17tgzNZ8+efeKJJ9rt9pqampdffvmHH34YP378G2+8cfzxx7fyQQPQMRFAAwAAAAAACCHEPffcc9ppp/l8vkmTJr388svjx4/v3r272Wxu52lramrkRm5ubiuHhMPhUCgkt10uV8sHa5r2+OOPb9682eFwfP755zFF1g888MA//vGPmCHr1q276667QqHQqaee+vbbb6empuo33XTTTeXl5RUVFdHH/+EPf9i4caPL5Xr11VfPPvts2Rzj//2//zdr1qwZM2Zs3Lhx0qRJ//73v61Wa/z07rnnnquuuurJJ5+M6V6iquqNN9744YcfulyuV1555ZxzztF7blx66aXTp0//4osvZs6c+cMPP2RnZ7f8CADoyFiEEAAAAAAAQAghTjrpJFlv29jYOGvWrDFjxhQUFFx88cXLly9vaGhoc1+ON954Q26MHTu2lUOqqqqqq6vldgsNqSVN07777jshxCWXXNJsi48zzjgj+sumpqYzzjgjGAwOHz48Jn3W7zG6APznn39+//33hRALFizQ02dp0qRJt912mxBi/fr1+nKLMY499thHH300vnd2VVXV66+/LoR48cUXo9NnIURqauqKFSv69etXXV39ySeftHz5ADo4AmgAAAAAAAAhhLBYLH//+9+vueaatLQ0VVXLy8t/+umnv/71r9OnT8/Kypo6deqSJUv0wuRWWrVq1csvvyyEGDlyZM+ePVszJBgMPv7445WVlUKIBQsWpKSktHy8pmlyVtXV1a1JyVeuXClbQt90003x6XP8yWWtdEZGxrRp02IWBjQYDHfccUdaWpqmaV9++WWzZzj77LObvYS7777b7/cPHDhwypQp8esN2u32adOmaZomHz0AnRcBNAAAAAAAwH9lZGQsWrSopqbmzTffjC49DofD//znPy+66KIRI0Z4PJ7WnKqhoeHRRx899dRT5Zd33313sx0qoqmqumvXrhNOOOGxxx4TQowcOVLWF7fMYDDIHPmtt956880393v8pk2b5MaFF16434ODwaAsbXY6nX379o0/wGazyWtcs2ZNs2c488wz43eGQqGXXnpJCJGVlZWRkdHswEGDBgkhPv/880gkst95Auiw6AENAAAAAADwfxiNxvPPP3/WrFlut7ukpKSwsHDlypVvvPGGpmlbt2696qqrXn/99fii3crKSn3lQE3T9GLk/Pz8Bx988PTTT2/2vj799FN9lKqqcsNsNl9yySW33367wbD/2kFFUW688ca33npLCDFnzpyFCxcWFBQcd9xxkydP7t+/f/w8q6qqhBC5ubn7ra0WQjQ0NMj8Nz8/f1+TGTBggBDi+++/1zQt/u569OgRP0Tvi11bW3vTTTcJIeTDFf3v9u3b5TF1dXVZWVn7nSqAjokAGgAAAAAAoBmKoqSmpubn5+fn58+dO/fKK6+cPn26x+NZunTp7bffXlBQEHO8yWQaNmyY/mW3bt0mTJhw7rnnjhw5Mj6W1TkcDhngCiEMBsOgQYMmT5587rnnZmZmtjAqxoQJE5YtW3bDDTeUlJRs3rx58+bNr732mhBiyJAhjz322MSJE6NXMmxsbBRCNFvOHM/v98tYXJ9kPKfTKYTwer2qquphus5iscQPkXMQQmzfvl0PmvclGAy2ZqoAOiYCaAAAAAAAgP078cQTL7300qeeekoI8eabb8YH0FlZWd9///2BnnbcuHGffvpp+6c3ffr0sWPHFhYWLl++fMmSJbLL87Zt204//fTJkyf/85//1OuXzWazEMLtdrfmtEajUebgemQcLxwOy41mE/Nmd+qTueyyyy699NKW50D5M9CpEUADAAAAAAC0ypQpU2QAvX379mbbTbTBQTmJPE92dvbUqVOnTp36xBNP/Pzzz6+++ury5cu3bNmyevXq+++//5577pFHyp4Y27Zti0Qi8QXLMVJTU+UxhYWF+7rkiooKIcTAgQNb0zBE6t69u9yorq4eP378wXoQAHRALEIIAAAAAADQKna7XW7IIuIOy2g0Dh069MEHH1y5cqXNZhNCvPbaa3qdcm5urhAiEAj89NNP+z2V0+mUKxzW1NTsq2j6888/F0KMHTu29TNMTU3NzMwUQuzatcvn87V+IIBOhwAaAAAAAABACCG++uorfRnAZq1du1ZunHLKKR2/aFdRlJycHJnzqqqqX9pZZ50lN+bPn6+n0i2c5JFHHhFC1NbWFhYWxh/wxRdfbN26VQhx4oknHtDcXnrpJSHEzz//vHnz5tYPBNDpEEADAAAAAAAIIcTcuXN/97vf7dmzJz6G1jStpqbmr3/9qxDC4XBccMEFyZhg8zRNc7vdzUbnbre7trZWCJGbm6svBpiXl/f73/9eUZQPPvjg888/j0QiMaPC4XB0VfKsWbOGDBkSDAb/+Mc/ut1uTdP0m+rq6ubOnSuEcDgceq7dSqeddtoxxxzj8/nOPvvsioqK6NPqgsEg9dFAZ0cADQAAAAAAIIQQmqY99dRTBQUFF1xwwaeffirD1kgkUl5e/vDDD48ePXrHjh1ms/nFF190OBzJnuz/CoVCl1122YwZM954442ysjJZ1BwKhb799tvzzjvP5/M5nc7XXnstesg999wzYcKEQCBw+umnX3PNNUVFRZFIRFXV2trapUuXnnzyye+//3708QsWLBBCrFu37uSTT16/fn0oFIpEIv/+97+nTJmya9cuq9W6fPlyva1zK5nN5hdeeMHlcu3Zs2fcuHELFy4sLy+XMbTX6922bdv8+fMnT5789ttvt/cBApBULEIIAAAAAAAghBAnnXSSyWTasWPHO++8884778QfkJ+ff8MNN8yaNevQz61lxcXF33zzzUcffRR/0+DBgxcuXDhgwIDonXa7/ZNPPrn88suXLVu2ePHixYsXx4yKKfE+66yz3n333VtvvXX9+vXjx4+PvmnAgAH33HPPAfXfkBRFGTVq1MaNG6+77ro1a9bceeedd955Z/xhHarYHEAbEEADAAAAAAAIIcSLL77o8Xiqq6u/+OKLTz/99JtvvikqKrLZbCNHjpw0adLMmTPz8vKcTmeypxnLbDa/8cYbX3/99Zdffrlhw4bt27c3NTXl5ORMnjz54osvPuaYY1wuV/wol8u1ZMmSPXv2fPDBB2+//fb69evNZvOAAQPGjRt35plnTpw4Meb4c845Z/LkyV9++eVf//rXFStWaJp26qmnXnTRRSeeeGJ6enqbJz9o0KCPPvqouLj4gw8++PDDD7/99ltN07KzswcPHnzccccdd9xxB7S2IYAOSGm2ww4AAAAAAAAAAO1ED2gAAAAAAAAAQEIQQAMAAAAAAAAAEoIAGgAAAAAAAACQEATQAAAAAAAAAICEIIAGAAAAAAAAACQEATQAAAAAAAAAICEIoAEAAAAAAAAACUEADQAAAAAAAABICAJoAAAAAAAAAEBCEEADAAAAAAAAABKCABoAAAAAAAAAkBAE0AAAAAAAAACAhCCABgAAAAAAAAAkBAE0AAAAAAAAACAhCKABAAAAAAAAAAlBAA0AAAAAAAAASAgCaAAAAAAAAABAQhBAAwAAAAAAAAASggAaAAAAAAAAAJAQBNAAAAAAAAAAgIQggAYAAAAAAAAAJAQBNAAAAAAAAAAgIQigAQAAAAAAAAAJQQANAAAAAAAAAEgIAmgAAAAAAAAAQEIQQAMAAAAAAAAAEoIAGgAAAAAAAACQEATQAAAAAAAAAICEIIAGAAAAAAAAACQEATQAAAAAAAAAICEIoAEAAAAAAAAACUEADQAAAAAAAABICAJoAAAAAAAAAEBCEEADAAAAAAAAABKCABoAAAAAAAAAkBAE0AAAAAAAAACAhCCABgAAAAAAAAAkBAE0AAAAAAAAACAhCKABAAAAAAAAAAlBAA0AAAAAAAAASAgCaAAAAAAAAABAQvw3gC4uLlYOxLx585I772YNHz5cUZThw4cneyKJlZubqyjKmDFjkn4SAAAAAAAAAGgBFdAAAAAAAAAAgIQwxXydlpZ29tln73fYyJEjEzMfAAAAAAAAAEAXERtA5+TkvPLKK0mZClrpscce83q9mZmZST8JAAAAAAAAALQgNoBGx3feeed1kJMAAAAAAAAAQAvoAf2/wuFwU1OTpmltGOv1emtqag76lDopr9fr9/uTPQsAAAAAAAAASXZwAuhIJPL666/PmDEjNzfXarVmZmaOGjXqD3/4w65duw76qIqKij/+8Y8jRoxIS0tLTU0dPnz43XffvWfPngOd88qVKxVFURRl8+bNdXV1l19+eVZWltPpNJvNvXv3njZt2pIlS5oNo8eMGaMoyuzZs4UQXq933rx5eXl5Tqfzu+++O9BLu/vuu+UcFixYsK95XnTRRfKYpUuXyj2DBg1SFGXMmDHxB69Zs2b27NnHHHNMenp69+7dx44de/nll//nP/+JP7KFkxzo8zJx4kRFUc444wwhxMaNG0844YTU1FSbzeZwOAoKCq644oqWn1AAAAAAAAAAXZamaZqm6RHh0KFDtQNUVFQ0YsSIZk9utVofe+yxgzjqzTffdLlc8UOysrLWrFmTn58vhMjPz2/NtFesWCHHfvLJJ/369Wt2Jscdd1x1dXXMwNGjRwshLrjggqamphNPPFE/+NNPPz3QS9uyZYvcf8wxxzQ7SZ/PJ683NTXV6/XKnQMHDhRCjB49OvpIj8dzyimnNHunRqPxvvvuizlzsyc5oMnrjj/+eCHE9OnTP/74Y6vVGj/QYrG8//77+3k+AAAAAAAAAHQ57e0B3djYOHHixN27dwshnE7n+PHjR40aVVFR8fXXX2/fvj0QCNxyyy1Wq/Xaa69t/6gVK1ZceOGFqqoKITIyMsaNGzd06NDNmzd//fXXe/fuPeuss0ymtlzOFVdcIWcycODACRMm2Gy29evXf//996qqfvXVVyeffPLGjRuNRmP8wOuuu27NmjVHHHHE1KlT8/LyjjzyG1Nq0AAAIABJREFUyAO9tKOOOmr48OE//PDDpk2bdu3alZeXF3MXy5cvd7vdQogLLrjAZrPt6xI0TZs7d+4///lPIURqauqMGTPy8vJ8Pt8333zz+eefRyKRe+65Z+TIkdOnT2/5oWjb8yLt3r37oosuCgQCRx555GmnnTZs2LDi4uJXXnll9+7dwWDw0ksvHTduXE5OTssTAAAAAAAAANClyBy6zRXQd955pxxYUFCwc+dOfb+qqvfff7/BYBBCZGZm1tfXt3NUOBweNmyYHDVt2rS6ujr9pl27dsnwVzrQCmghhMFgWLBgQfStn3zySXp6urz15Zdfjr5JVkDLLPW2227z+XztubT58+fL4x999NH4SZ577rny1nXr1uk744uXv//+e3nYqFGjoh8ZTdNeeOEFedPpp58evb/ZCui2PZuyAlq69tprA4GAfpPH4xk5cqS86W9/+1v8BQIAAAAAAADowmID6P0ymUz64JKSkpSUFCFEenp6TO4p3XbbbXLUHXfc0c5Rzz//vNw5YcKESCQSM6S2tjYjI6PNAfSf/vSn+AO+/PJLeWvfvn39fr++XwbQQojx48fHDGnDpe3cuVO/rpiD3W63rHqOeVcgPjt+7rnn5Elee+21+Dvt27ev0+k84ogjWj5J254XLSqAHjNmjKqqMaOWL18ub7311lvjzwkAAAAAAACgC2vXIoRLly71+/1CiJtvvlmvF4522223yQj15Zdfbueol156SW7Mnz9fluJGy8jIaLYvRGukpaX97ne/i99/3HHHTZs2TQhRUlLyySefxB8wb968mD1tuLT+/fuPHTtWCLFu3bry8vLogz/88EOfzyeEuOSSS1p5LTt27IjfWVxc7Ha7m72pnZOPce+99yqKErPz6KOPlhuBQGB/0wcAAAAAAADQpcQ2TU5LSzv77LNbGBAd/n799ddyY19DevToMWHChNWrV1dVVRUVFfXv379towKBQGFhoRCid+/e0ev+Rbv44osfeOCBFma+L1OmTGk2bxVCzJkz5+OPPxZCrFu37qyzzoq5taCgIGZP2x6Q2bNnr1+/XtO0999///rrr9cPfvPNN4UQRqPxt7/9bcuXMH78eIPBoKrqAw88sGfPnssuu2z06NHxMX3L2jb5aHpteLQWWlcDAAAAAAAA6NpiA+icnJxXXnmllYPLysrkRnwWqdNvKi8vl9ttGFVdXR0Oh4UQgwYN2teQvLw8GcK2cvK6I444Yr83lZaWxtxktVp79uwZs7NtD8isWbNuueUWVVXfe+89PYCuq6uTiwpOnTp1v2v3HX300ffdd9+8efNUVX3hhRdeeOGFtLS0cePGjRs37pRTThk3blxrwui2TV7ndDqzs7P3ey8AAAAAAAAADh/tasHhdruFEA6Hw+Vy7euY3r17y436+vo2j9K7N+j745nN5hZubUEL8W7fvn2jpxEtKysrvt1E2x6QnJwcWdb9xRdfVFdXy50ffPBBMBgUre6/cdddd61bt+60006zWq1CiIaGhpUrV/7P//zPcccdl5OTM3/+fHm2FrRt8jrZPxoAAAAAAAAAdO0KoGVS2dTU5PF49nVMZWWl3HA6nW0elZubazQahRAxXZJjtK3LsH5f8SoqKuSGw+GIuSk+fRZtfUCEELNnzxZCRCKRv//973KP7L+RmZl5xhlntOIihBBi7NixH3/8cU1NzbJly2677bYJEybIMLqqququu+6aMmVKJBJpYXibJw8AAAAAAAAAzWpXAK3XDhcVFe3rmF9++SXm4DaMslgsubm5Qoiff/55X0Pq6+urqqpaP/n4+4qn312vXr1ac6q2PSBCiJkzZ5rNZiHEu+++K4Soqqr617/+JYSYM2eOxWJpzV3rHA7HGWec8fDDD3/11Vc1NTVLliyRZctffPHFa6+9lojJAwAAAAAAAECz2hVAjxs3Tm4sW7as2QNqamrk0nbdunXT2ze3bdTAgQOFELt37/7yyy+bHfXJJ5+07SpWr17d2NjY7E1vv/223Bg/fnxrTtW2S5NfnnLKKUKIzz77rK6u7t1335XVyq3sv/Hcc88tXLjw8ccfj9nvcDguvPBCPXf+5ptvEjF5AAAAAAAAAGhWuwLo2bNnyyYPjz76aLMZ7kMPPST7OVx88cV6z4q2jZo7d67c+OMf/6hpWsyQUCg0b968tl1FXV3dE088Eb//m2++ef/994UQ3bt3nzZtWmtO1bZL08cKIUKh0LJly2T/jYKCgoKCgtbc7/vvv3/HHXfccsstzRYv2+12uZGRkZGgyQMAAAAAAABAvHYF0Hl5eTfeeKMQoq6ubtKkSSUlJfpNmqYtWLDgkUceEUJkZmb+6U9/aueoOXPm5OfnCyG++OKLGTNmNDQ06DdVV1efeuqpLXTS2K/77rsvpnx41apVeuh8zz33pKamtuY8bbs0acaMGTabTQjxzDPPyCrvVpY/CyFGjx4tN2644YaampromxoaGu644w65ffzxxydo8gAAAAAAAAAQT5HVxMXFxXl5eUKIoUOHbt26tfXjGxoahg0bJhfrS01NnThx4siRIysrK9euXfvTTz/JY55//vkrr7yy/aNWrFhx+umnq6oqhMjMzJwwYcKwYcO2bt36xRdf1NfXu1yuE044Yfny5fn5+T/88MN+Z75y5cqpU6cKIXJzc0tLS4UQw4YNO+6441JSUtavX79p0yZ5R0cdddS3334rGzRLY8aM2bhxY58+feSog/KASLNmzXrnnXfktsViKSsry8rKij9s0KBBO3bsGD169IYNG+SeioqKgoIC2QI7LS3t1FNPHThwoMlk2rFjx7Jly2TZ8tSpUz/66CO5lmOzJ2nz5CdOnPjll19mZWVVV1fHz7ampkZexfXXX//000/HHwAAAAAAAACgy9I0TdO0Xbt2yS+HDh2qHaBffvlF1ibHS0lJeeqppw7iqKVLlzqdzvghmZmZq1evlqW++fn5rZn2ihUr5NhFixZdc801zc5k7NixlZWVMQNluXGfPn0O7gOiaZrs+CHNnDlzX4fJdtijR4+O3rl69epm02pp6tSpjY2N+z1J2yYvC6uzsrKane3evXvl8Ouvv35fVwQAAAAAAACgSzLtK7JsvQEDBnz33XdLlix59913CwsLq6ur7XZ7Xl7eqaeeeu211/bt2/cgjpo9e/aJJ574zDPPLF++vLi4OBQK9enT58wzz7z55pt79+69atWqNszfYDAsWrRo5syZzz777Nq1a2tqajIyMgoKCubMmTNnzhyD4YC7lLTt0oQQ06ZNS0tLk91FWt9/Q5o0adKuXbsWLVq0atWq4uLi0tLStLS0/v37Dx069JprrhkzZkyiJw8AAAAAAAAAMf7bguMwpLfgeO6556666qpkTwcAAAAAAAAAupp2LUIIAAAAAAAAAMC+EEADAAAAAAAAABKCABoAAAAAAAAAkBAE0AAAAAAAAACAhCCABgAAAAAAAAAkhKJpWrLnkBx1dXXff/+9EGLw4ME5OTnJng4AAAAAAAAAdDWHbwANAAAAAAAAAEgoWnAAAAAAAAAAABKCABoAAAAAAAAAkBAE0AAAAAAAAACAhCCABgAAAAAAAAAkBAE0AAAAAAAAACAhCKABAAAAAAAAAAlBAA0AAAAAAAAASAgCaAAAAAAAAABAQhBAAwAAAAAAAAASggAaAAAAAAAAAJAQBNAAAAAAAAAAgIQggAYAAAAAAAAAJAQBNAAAAAAAAAAgIQigAQAAAAAAAAAJQQANAAAAAAAAAEgIAmgAAAAAAAAAQEIQQAMAAAAAAAAAEoIAGgAAAAAAAACQEATQAAAAAAAAAICEIIAGAAAAAAAAACQEATQAAAAAAAAAICEIoAEAAAAAAAAACUEADQAAAAAAAABICAJoAAAAAAAAAEBCEEADAAAAAAAAABKCABoAAAAAAAAAkBAE0AAAAAAAAACAhCCABgAAAAAAAAAkhCnZEwAAAAAAdBSRSCTZU9g/TdPkhqIoyZ1J+2ma1jWuQm50mWvpMhciusq1dI2rkBtd5lo6+4Xoz4joDNdiMBg6/iRbQAANAAAAAPivZ555Zvv27cmeBQAA+F+33nrrgAEDkj2LtiOABgAAAAD819atW3/55ZcO/lduKBSSGyaTqVNXhGmaFg6HjUajwdC522Oqqipr57vAtUQiEU3TTKZOn5bIl4nBYDAajcmeS7vIl0lnf7ELIcLhsCy57ezXIp+RLvCtFYlEVFUVHf4Hl6qq3377rcfjSfZE2qXT/0gFAAAAABxEo0aNevDBB5M9i5bU1taqqqooSnp6eqdOQDRNq6mpcTgcNpst2XNpF5/P19TUJIRITU21WCzJnk67eDyeSCSSlpaW7Im0V01NjaZpVqvV5XIley7tEolE6urqMjIyOvuLvaGhIRwOCyEyMzM7dQCtqmp9fX1KSordbk/2XNqlqanJ5/MJIVwul9VqTfZ09snv959wwgnJnkV7EUADAAAAAP6XoigduRZM0zR9egaDoSNPdb9UVTX8KtlzaRf9e6ZrXEsHfwm0kvKrzn4t8iXf2b+19KsQHf5nbGvIfsRd4Co6xTPSqd+u0HXcxxcAAAAAAAAA0KkRQAMAAAAAAAAAEoIAGgAAAAAAAACQEATQAAAAAAAAAICEYBFCAAAAAMB/qaoaDoc9Hk+yJ9ISVVXlhtfr7dSrM2maJoQIBAKRSCTZc2mXcDgsN/x+fzAYTO5k2ikcDquq2sFfAq3X8V/O+yVfJp39xS6E0F/mXq83uTNpJ03TNE0LhUKd/VtL/8EVCAT07Q7I7/eLqP/4OikCaOD/s3ffcXZV5f74n7V2PXVaZibJpDdCSyi2q6AgWFC/gAiKAgpW9H5FinqvX/yp6EtfWCgiV0BRBKUoGCHqBaVGBYFAIKEkpJcpmUw7ffe1fn+sZHMyPWUymfB5/7Vnn3X2XvvMOVM+5znPAgAAAACAnaSUURSpf3cPfp7njfcU9oMwDA/m7GOPTPT0OTZRXgIjEkIcGtdyaLzYlUPjO3Io/eAKgiAIgvGexZAOjSc/AmgAAAAAAADYSdM0y7ImTZo03hMZkpSyr69P1YLV1dVpmjbeM9p7Qoje3t5UKpVIJMZ7LvukUqmoos5sNmua5nhPZ58Ui8Uoimpra8d7Ivuqu7ubiEzTzGaz4z2XfRJFUV9f30R/sUsp8/m8Smzr6+s5n8AdcYUQuVzOsqxUKjXec9kn5XLZcRwiSqfTtm2P93SGpCY5oZ8zhB7QAAAAAAAAAAAAADBGEEADAAAAAAAAAAAAwJhAAA0AAAAAAAAAAAAAYwIBNAAAAAAAAAAAAACMCQTQAAAAAAAAAAAAADAmEEADAAAAAAAAAAAAwJhAAA0AAAAAAAAAAAAAYwIBNAAAAAAAAAAAAACMCQTQAAAAAAAAAAAAADAmEEADAAAAAAAAAAAAwJjQx3sCAAAAAAAAAAAwOOmXZd/W0Y7WTD5p7lhOBwBgjx2CAfSGDRsuu+yy4cdks9nf/e5369atu+KKK9SepUuX7tFZLrvssg0bNhDRwoULf/SjH+3dVEfv9NNPVxt7Os/9ePYf/vCHhx9++Fgc/1//+pd6DE3TvO+++8biFPtL/I24+eabp06d2tvbe+GFF9I4fV8AAAAAAADg0Ne3RT529WgHpxrp9GvGcjYAAHsMLThgBBdffDER6bo+RunzhFZfX682vv/974/vTAAAAAAAAAAAAA5Ch2AFdLXm5uZB92cyGSIyDGOoAQeb8ZpnEATt7e1E9O1vf3tcJnDw+9nPfvblL3/5mWeeKZfLqVRqvKcDAAAAAAAAAABwEDnEA+hf/vKXw9w6a9as4QccPMZrnnGLksWLF4/LBA5+M2fOVBtXXHHFzTffPL6TAQAAAAAAAAAAOKgc4gH08Lq7ux988EG1fcEFF1Tf9PTTTz/44IOrV68mogULFpx00kmnnnrqMId6+umn77777i1bthx11FEXXXTR3Ln9W/5LKW+//fannnpqx44dc+fOPfXUU0877bTqAa7r3nvvvfFkwjD8yU9+8vTTT99///1E9Nvf/nbQeUopb7311meeeaanp2fBggWnnXbaSSedNHB6vu/fdtttzz///I4dOxobG4899tgLLrhAlYEPIwzDzZs3E9Fxxx038HIeeuihJ554Yv369aZpHnnkkaeddtrxxx9fPSae8xlnnJHNZuP9d955pxCCiE4++eRp06YNPO/DDz/8pz/9qaOj47jjjvvc5z43efLkQaf385///Iknnpg6depXv/rVadOmDfUQEdHjjz/+yCOPrFmzxrKsRYsWnXXWWQsWLBh4wCAIfv3rX69YsaKzszOTyRx55JFnnHHGaBqPnHnmmffff397e7vv+6ZpjjgeAAAAAAAAAADgDeINHUD39fVVZ75qQ0r5sY99zHXdeNiqVatWrVp1ww03/PGPfzQMY+Bx/uu//ktF1WrwZZddduKJJ37ta1+LBzzzzDPVPYLXrVu3bt26m2666d5777UsS+10HCeezNlnn/2xj32s+hQD50lEf/nLX37xi1/EX65evXr16tXXXnvt/fffz/nr3b3vuOOO6pX9Ojs7H3rooYceemjx4sXf+973hnl87rrrLrXRr/+GEOLMM8+MvwyC4Nlnn3322Wcty7rnnns0Tes351NOOaU6gP7jH/8YhiERHXbYYQMD6K985SubNm1S28uXL1++fPlxxx33ne98p3rM5s2bL7nkErW9cePGL33pSz/5yU8GfYgKhcIFF1wgpYyn+tRTTz311FOZTOa3v/1t9aP0m9/8ZsmSJfGX+XxejVTrVQ7zKBHROeeco94nWLp06dlnnz38YAAAAAAAAAAAgDcOLELY3yc+8Ynq9LnaRz7ykYE716xZE6fPsX/+85+lUkltd3V1DbVC3TnnnDPo/vPOO2/EeW7cuLE6fa5WnQ5HUVSdPldbuXLl3//+92FOEd+RMVa9/8Mf/vCg4z3PG+qKRsn3/Th9jq1YseKxxx6LvxRCxOlz7Ktf/erAo0kpzz///Dh9rlYsFs8666z4y76+vur0uVqhUPj5z38+/LTjWvI77rhj+JEAAAAAAAAAAABvKId4BfTpp58+cOexxx571VVXDTpeCFEul9X20qVL4/1nnHGGyjHXrl07sHtDXO+cy+U++clPqp2rVq16+9vfTkSf+cxn1J5PfOIT5557rtq+8MILe3t7ieiiiy667bbb+h0wDMO6urovfvGL8WQGuvTSS9XGJZdcErcH+ehHP6rS86uuukqVLcdnP+aYY7773e+q7RdeeEHdeuONN773ve8d9PiD5rZqbvFN8UMkpTzjjDPUrfl8vqamZqhpj4gxtmTJElVGffbZZ/u+T0TXX3/9ySefrHLwb3zjG/FgNYGhgm81JeW+++5TzTE2btyoHjohxD//+c8TTzyRiG655RY1rKamJm7lcc011yxbtoyIli9fPuK0Z86cuWXLlr26YgAAAAAAAAAAgEMWKqB3U6lU4u2Ojo54+5JLLjnvvPPOO++86gGKpmlxt43a2tp4/4YNG4hI5adKdVeNG2+8UW309PQMnMYll1xy++23v+1tbzvllFMGnWexWIy3q5tTx0Hq888/rzaiKFIb5XJZdV4mosWLF5+3y6DHr57Yhz70oer97e3t8XYul1MbjLH4gKq9xl679tpr4yYev//97+P96pKllHG9+T333KM2LMu6/PLLhznmd77znbg185w5c+JH7Mc//rHaqFQqRx999NFHH11dVL5o0aL41hGnjUUaAQAAAAAAAAAABjrEK6BPOOGEgTtnzZo11PhUKhVvf+ELXyCiN73pTR/+8Iff/e5392tDEZs/f371l+l0WjXfUGXCXV1d8U0PPfTQoEeQUvY7+PALHlJVvkxE8TqKgx52zpw5L7zwAhGtW7fuzDPP1DTtvPPO+8AHPtCvx/RAnZ2daiPOYZXp06fH26rc+5RTTjnjjDNGPOAoVa/fqGlaTU1NPp8nol//+teXXnppd3d3fGsymYy3TzrppGuvvbb6OHHyTgMWUfzkJz/5yCOPVO+Ja8OllF1dXc8///yKFSuefvrp0U87bnJdKpXS6fTo7wgAAAAAAAAAAHAIO8QD6K9//et7NJ4xdsEFF8RNGIjoueeee+6554iotrb26quvnjp16h4dMI5xieimm24adExfX199ff0eHba6bnqow5bL5XQ6fdVVV1X3IYmi6I477lCtit/1rnddccUVQ50iLrLu10+DMbZ48eKVK1fGex599NFHH32UiKZPn3711VfHDZH3Qlz7HDvhhBP++te/EtFjjz126aWXVpel98MYq24bUl2p3U91oXrsxRdf/O53v7vX5dvxo9TV1YUAGgAAAAAAAAAAQEELjv7OOeecP/zhDx//+Mf77c/lchdffPHGjRv36GhDdVKuVl2rOxaHfeCBB6677rqBufCyZcuGKVuOs+CBmez3vve93/3udyeffHK//du2bTvvvPOq24PsqbhJSKzflQ4cMJSBWfYwHnvssW9961vxlba0tFx55ZVXX3316I8QBIHasG179PcCAAAAAAAAAAA4tB3iFdB7x7btj3/84x//+MeFEMuWLbvuuuvim77//e//6le/Gv2hmpub4+3qVQ33UXXF9IiHZYzNnTv3zjvvlFL6vv+pT30qbmrsOE6hUIjbR1SbNGmS2mhvbz/66KP73ZrNZi+77LLLLrssiqK77777D3/4Q3zTjTfeWL1O4EDDpOcDb3r44YfVhmpF3djYOMr7TpkyZaiR1X08lOuvv15tfPGLXzzttNPUdtxsejRUnxDa/TsOAAAAAAAAAADwBocK6N384x//WLp06dKlS9esWUNEnPOTTz556dKlqtkxDbFm4DCampri7X4J6Uu77MU8jz/++KFu6nfYpbsQEWPMsqx77rmnOrN2HGfQ47S0tMRHqN7/0EMPqQOq7iKapp1//vlLly6Np1Tdn1qpftCklMNXfKuO1Yrv+3Fl8fnnn09E1S1QCoVCvP3kk0/2O051W23VISR2ww03DHX2OH0mouoFCUe0detWtcE5XlMAAAAAAAAAAAA7oQJ6N319fXGB8/333x+Hif/+97/VxsyZM/fogKZpGoahUtRrr7027rn8ne98Z8WKFUSUSCR+//vf7+k8a2pqNE1TSe6vfvWrz3zmM2r/F7/4xba2NiKaPHmyyk9vvfXW+F5xM+jqRLhfi+fqmauNbdu2Ve//29/+tmHDBiJasmTJbbfdpnJeKeWqVavUgLPOOqvfoa688so77rijtrY2l8t9+ctfHv7Svv3tb99www2zZs1yHKe6Q4hacpAxVl9f39vbS0Tnn3/+7bffXldXt3bt2h/+8IcDD9Xc3KxS8p/+9KezZs2aO3eulPKBBx548cUX1YAf/OAH/e5y1113feITnyCiV199VV3mKMXPEAAAAAAAAAAAAIghgN7NaaedFgfQZ5555sABV1111Z4e86abbvrsZz9LRMuWLVu2bFm/W++88849nyYR0Y9//OPLL7+ciB544IEHHnhg4EnVxlFHHfXyyy8T0a233lodRit1dXXD9CxesGDB2rVr++286qqrVDFyb2/vGWecMfBeZ599ttr4/Oc/HxcRxyXkNGC1wIEuueSSfnt++tOfxtvXXXfdpz71KbUdbwzqF7/4RTzDyy67rN+tyWTyqKOOUtsqHCeie+6555577uk3Mq7CHkp8OYM2MwEAAAAAAAAAAHjDQruA3ZimGUe3A1155ZW1tbV7esympqZrrrlm0JvuuusuXd/L9wDmzZs3VBr+hz/8IV6C7wc/+MGCBQsGHZZOp2+77bZhTvG5z31ObVQXQWez2e9+97tD3eVnP/tZXDr9wQ9+cODKh1/72teGWR7QNM33ve99/XZedtlls2fPjr+sq6sbOIG4tLwaY+zee+8dtCfGvHnz7r777vjLn//85/0GJJPJuLF1GIavvfbaUHMmopUrV6qNH//4x8MMAwAAAAAAAAAAeKMZoRb1Dau7u/vvf//7ww8/3Nvbu3jx4vPPP3/evHn70t5XSrlu3bqbb75506ZNp5xyyrnnntvQ0FDdp3ivD/vqq6/ecsstbW1t73//+88+++za2tqBh/V9/9VXX12yZMmqVatqamo+9KEPvfe97x2q+UY11bVD07Q//elP/c7b0dHxl7/8ZdmyZY7jvPWtbz3vvPNaWloGnrq1tfVnP/vZmjVrPvKRj3z0ox8dpuA61tfXd/31169cufKiiy76wAc+YBjGwDFhGD744IO/+c1vFi1adMUVV6TT6bjByMBVGXO53NKlS//85z9nMplzzz33xBNPTCQS/cYIIR599NFbbrnlsMMO+8pXvlLdvHtEZ511VhiGRPTAAw/s+/cUAAAAAGAcXXzxxbW1tVdfffV4T2RIUsq+vj4hBBHV1dUNU+By8BNC9Pb2plKpgf+hTCyVSkWtdZ/NZuOapAmqWCxGUbQXxWdjR3a+Kh4b9Usy1aidfg0RdXd3E5FpmhP9o7pRFPX19U30F7uUMp/Pq+igvr5+Qi8fJYTI5XKWZaVSqfGeyz4pl8tqXbR0Oj2atGq8OI5z4okn/vrXv160aNF4z2XvIYCG4fzv//7vzTffTAdNtCql9H1fbVuWVX3TMAH0mPI875xzziGir3/96yeccMKBPDUAAAAAwH6HAPpAQgB9EEIAfbBBAH2wQQB9gB0aAfQEfsbDAfCBD3xA/Yi/9NJLx3suRESMsXN2qW7Eodph09BrKo6db3zjG0TEOUf6DAAAAAAAAAAA0A8CaBjBLbfcQkSbNm1SJQbj7qKLLlIbzz333Om7rF+/Xu2M15A8YNSp0f0ZAAAAAAAAAABgIATQMIKmpqY3velNixcvjhflG18f/vCHB119cfLkyUuWLDnAn/b61a9+tXjx4ne/+93z588/kOdZJ8uEAAAgAElEQVQFAAAAAAAAAACYEPTxngBMAN/61rfGewq7OfbYY5cuXRoEQS6XC8MwmUxms9lxaVH9mc985sCfFAAAAAAAAAAAYKJAAA0TlWEYjY2N4z0LAAAAAAAAAAAAGBJacAAAAAAAAAAAAADAmEAADQAAAAAAAAAAAABjAgE0AAAAAAAAAAAAAIwJBNAAAAAAAAAAAAAAMCYQQAMAAAAAAAAAAADAmEAADQAAAAAAAAAAAABjAgE0AAAAAAAAAAAAAIwJBNAAAAAAAAAAAAAAMCYQQAMAAAAAAAAAAADAmEAADQAAAAAAAAAAAABjAgE0AAAAAAAAAAAAAIwJBNAAAAAAAAAAAAAAMCYQQAMAAAAAAAAAAADAmEAADQAAAAAAAAAAAABjAgE0AAAAAAAAAAAAAIwJBNAAAAAAAAAAAAAAMCYQQAMAAAAAAAAAAADAmEAADQAAAAAAAAAAAABjQh/vCQAAAAAAAMBupJSPPfZYe3v79u3bN23a1N7eLqX8/Oc//8EPfnDQwT/4wQ+effbZgTc1NDTceuutnKPwCAAAAMYNAmgAAAAAAICDzpIlS1pbW1V2LHcZarC6VdM0xlj1fkTPAAAAMO4QQAMAAAAAABx0Pv3pT6dSqcbGxkwm86Mf/WjQAud+rr/++pkzZx6AuQEAAACMHgJoAAAAAACAgwtj7Pjjjx/vWQAAAADsB/hAFgAAAAAAAAAAAACMCVRAAwAAAAAAHAra2tq2b99eLpdrampaWlqamprQAxoAAADGHQJoAAAAAACAQ8EPf/hDtVAhY4wxduSRR1555ZXJZHKo8b/5zW+EEP12lkqlTCZTqVTGdq77Jl6P0XGcCR2yqwvxfX+YFSYnhCAI1IbneWEYju9k9lEYhlLKg+olwD3PGPVgIYRXNfkoig6qa9kL6sfUIfBij3/eOo7Tb8HYiUUtexsEwUR/asU/rHzfH/jb8ODhui7teiFMXAigAQAAAAAAJrb6+vpTTjll6tSppmlKKbu7ux9//PGXXnrp8ssvv+aaa1Kp1KD3uvnmmwdmhVOnTm1sbJwosYL6t3yiC4IgDnAnOs/zxnsK+8dYvwSYX2F+aZSDtVLX6ANoSbul54dAAK0cGi92xXGc8Z7CfhCG4UR/tynm+77v++M9iyEdGk9+BNAAAAAAAAATGGPsS1/6Ur+dZ5999je/+c2tW7f+v//3/6677rpBKwc55xO6Cg9g4jJbn028smSUg6PaaWM6GQCAsYYAGgBgwlOfgareMxbv3zLGDvCHQzVN0zStes+E/tgdAADAgVRbW/vf//3fX/rSlzZt2tTV1dXc3DxwzI033jjwl/uNN95oGEZNTc0BmebekFIWi0U183Q63e+vhYlFSlkoFGzbtixrvOeyT1zXVbXPyWTSMEZfrXswqlQqQoh0Oj22p7Ht0Y/l2h78DcwZV6/ffD5PRIZhDNOHZ0IQQhSLxUwmM6H/F5BSlsvlKIqIKJvNTug3/4QQpVLJNE17T57GB6H4B1cikTBNc7ynMyT1C2JCP2cIATQAwLir/scv3lZ/mgzcPpCTod1/yR341oRRFO3FtVf/F6q2q69iov/aBgAAGL1p06Y1NDT09PQMFUAfd9xxA3dalsU5P5gzRCll/L64YRgTOoBWPT01TTuYH/DRiFuI6Lo+0a+Fcy6lHOurEJo2+n6ue/QXLGNMr5o8Y2yif0fUfwS6rk/oF7v6waW2dV2f0GG6EIIxdpD/phiNuGzrIP8hrFqdTPT/ZBFAAwCMrTi3jRcNiFtl7cdIV0oZRVEYBiIMhFrfQkoZ+SJ0GePEOHGNc10yTozLwBHlrqi4XYYVO8obYcGQFUM4hnQZ9Z+SJPJ4xtNqKkaTyMwyGw9LptK6fvD++hhldl/99x/tWqyJJv7vdQAAgGoH8m1sAAAAgEEdvAkCAMAEIoRQfTBUyjwWC9SGYei6jlcpy6DMC5t5uV0TniHKZlgwRFmTIyxckzenF61pk7y1CZHfo/MyIlsUbVGsCVqpsoI6iYgcXlOw5xjzP5hKZ/b6isZXnP4Pv+aPqk1Q1RZolAkAABPLSy+9lMvliGjKlCnjPRcAAAB440IADQCwB1RYqfLlMWpJEYZhMd9XKRUSpQ12aZ0RVfSoaAjHJLEXzdsk0absu5u91bVRR63Tsb8mmRD5ROUFufLFrS2fnDzriL04ghBia2vbxhL1BCyQLJIUEeMkOZHOJGfEiYikziilySab1RhkmlY2nUwmk9UfWJNShmGovhdSyv3+0bxh3lFQYbSazMH8iS0AADjkRVHk+75pmuq9UvW5qPb29muuuYaIFi1a1NDQMN5zBAAAgDcuBNAAALtRUeNYLOI3UBiGud7ufK63xllXV3rZiMpcBnsXNA8U8OSWzIlzy0/MrfxjfxxvEIzkzLbbu3sWyvlnpVLprp6eXL7gSV6OeCkiIlZryBSLdCZ1w0wm7FTCtixL1/XXNm75dylB1D+0VR8S9iRVNwLpiWjrzu+GICoRlYikSqAlkaRBSpIZSUbEdm0YTCZ51KCLBj1MphKTamtTqdS+X75KvdVHmwf9gDPnXPX3mNAt3gAAYLysXbv2vvvui7eJ6G9/+9uqVauIKJlMfvrTn85ms+rWtra2q6++ur6+XmXQUkrHcdavX++67oIFC775zW+O1yUAAAAAEAJoAHgDiiuXVS/mA9AbUbXmcJ1yd+uGZGVzY3mFKSpEZBIliaYOf18iIi64SUSu1VxIzBNCuKlZnJHkxpTtD5hhnguX7RocMWttzQfnlx8xZWV++VFJFDJze/17nOSseDKMsbhquLp01/baW3Y8wGnP+odMcte8umnFveJwIiLabbnwbdXNLfoEUYWoQkTNnJkkfNrrUmU2/BQlsV0JNiOiQFIl0rojIo+oTLSjSFRUNxskZhhunS6mNTXUZLOcs7gZ9L4TQgz6ToamaYyxuFIbbT0AAGBQfX19Tz/9dPWeLVu2bNmyhYhqamrOP//8eL9lWel0urOzs1AouK7LGEun01OnTj3mmGPOPfdc27YP9NQBAAAAqiCABoBDmcpYVVFzFEVj0Zp50JOGYRj4rtPb6vVsaai8nAk6iChBVDfMvYgET2jCKaYWFNOHBVrWCvuKyXlCCDVtXddd1w3DUDf10AuTyaSUcuvkczRNS1Y2pfOr2tNvzVAuHXROk+u7a/+jlFqQKbxSzB7FGIuiiKJI1UP1O6/v+2wXaU3ZOO1zs9rv0EX/YcNdL7Hlcv4ePUSdIkFEUzSnI0rs0R33u4D4hiBJAT23xSPqUjsbuddsRnMn16eTCcs093tArN7ziNeipKpO01gLEQAAYsccc8wvf/nLQW/inNfVvf5nRVNT0/e//33P8zzPU79lTNNMJBLmGPwWAwAAANhTCKAB4NChlgGMoiheDHCsCSE813Xdiqx0y951mt+XdluTUY9FRES1I929aM/unfTOwKiNp80Yc11XRtLUTNeuq5RK1eMZY4ZhcM7jJo9EJKUsmNN766ZIKZ3E5Jw32zAMIYRTKnvWfIuoUqkMVeWdSOzMf+OjhYJtavm0VtoapqYxxo2grzH3z5S7bahLKGsNS+2PleXe/DbpiBJz9dKGMD3y0F3e0+D3Bez5gvGmbEBEywtj0nm5S1hdLr282SVyiWiS5jcYcu6kVDaVTCYSY/Gf/FCdplUkzTlHEw8AgDcgy7Kam5tHM1L9hWAYRjq9B79VAQAAAA4MBNAAMIGFYaii1TFaD7DfuSqlQrlSNsutZn6NEebtoMcSFZuoZnRHyGUWlVLzQz0dGrUkpR4WQmPnXVVDBtd1dV1PpVKqZrm6WlnX9TgsJiKSMhLCcZx+F14sFqmqgXUQBGrVxKHEpzAMw7ZtIYTneUREfFJUKieTSa4l2dCP7WvJkx+nxULufSC7IUw3cjcvjKHacTSZgpGcl4xeKukZ4RLpdYY8tcEPgiDSjClWtCAZMaIXi3ouHDyi5SQXpqKtrlaKXp/n4kzQZMoXC3qz5k5J6aGgfMS6fd7u8XDA5XRHZndEr7WGRAVG+Roe1hs0t0avr8mm0/uhl/QwBr5zoPJoxpjqLg0AAAAAAABwkMO/rwAwMQghVA+NA5A1E5GUsq+3q5jrrc8/l3S2mFHRlEGSaNKeHoe01qkfdc1Gxpjv+57npe00kzJVXldJzq4eqTLoIAh83xdCaJpm27ZqE6yWs1f9N8bo8qMoKhaLhmGoaZim2dT7WLpjvSaHzK8fynx2Y5QZ8cgpLhZnwgQXq8vagpQMBFUi2uLqvbvy4jxZ85NBjxtsF/07VJ5a78fVxm+tCf+dSwjhcc6FEIZh6FIelY6IaH2Zu2LIEFwQ2+ZyZ/cgd2VxZ+l0V5DcEoi31YbpwE2waH6tHRHvC9irZT0YLFiXxHLCyHm0cQfRjiKjgs3EJCOam5TNjQ37WHcmpezu6S07DmNc07jGua5puqYlErZlWXHB+8AOHqrwbT92rwYAAAAAAADYXxBAA8BBSlU3H5i4mYhyudyOjm2TKq80lVYwEkRyMtHkvTrU+tlfISKSghh3HIcEhaUSEakVgRhjnucV5ZSk5NqummUlmUyqJQEZY+SXUn3PTHFXbmz5jGCW7/vD1zLvIyGEZVmmaRLR7LZfabtWNRwC+2XykiAavOL4LVk/u/N3i/reMcZISnZEWjiOE0WRRXSUbe6QyTVljYiaTbG6YghiC/XCmjCjlg1UHuk11XFUdfRxWZ9z/kiPIYkSnOoN0eHxUxoCXQauGO7XWTHiRFSji2Mz4dN5o19aXYz4wz2myYx31QdExIkmGdFb7HIymSQiKUkSPbpzJv1JYo7UtvnaNp8oVyIqMqLJmjfL8mdNn6aOMBpLVm7LC10QEbGqX82CSBAFqhOIejwZkUVRgxZMM7yabLa5cZJpmlLKfqsdaprGOY/XOQQAAAAAAAAYLwigAWD8qd7NYRgegMbNUsooDD23nGtdY7rtjcXnTekSURNR0zD3IiJibGeiSpJoe+Np5fQC9eWczf8jiXPpq1yzufOvnc0flMSkEJZl+b6v2jLGaaDKCqMo0jQtk8kQEcmorvffrp/Km9MaWFchuZCZ6dKkt78avNkre0Q+jTFVQpvpey7jrNeFO/zgBzOfHip9JqIVRePk+sDzPF3XwzC0LMt1XVXAK3RLtzSTU5fP1pQ1TnKSKXt9LogR0Zowe6SRb4sSBWEIqs6ImSpfXl6w4l2OoDZPI6KHewaPhgfKh/yJPjOjCZcGSdd9yeJDGSQWpDRbRIzxKArDMHxPw26DnYg2VrSekHuCaPepSqKOyO6o2P9+rUBUsFk036jMmTKpJpsxqppm5AuFP24oy9fvO5pm1oyIJJFLelukt0UJcol29KrbdBKTdb9BCybVZpvqsrqu65oWd47mnKuWHaiSBgAAAAAAgAMMATQAjANR5QCczvc81yl7HavM8paG8ssWiSRR3bB3iZhZScwopI9wUjsbZTR2P1pTfDni1pZpFwrNFkI45XIymWSMbZj5JSklZ3Le5hvXz7qEGPM8L+6ZYNu2lNJxHE3ThBBx5wRV7CyFiEJfM6yumrdFURSGYbuYTuXymD4g/aRSqVRlYyGYkXXWJaPe4Qe3W4s2RdlhBoSSCUmWZVUqFVUCbNt2sVhMp9NpUyOiZ/J6MeRE9NaacJvLfM5pV0nyK8HOptgztEpnZHlDNIbeF8Who/NYQPyVMn+lrEJhk4hSrqjVZYJHWuDVp6wkFzOoODdhWJZVidhTeXOyGXUHg/SPdqX2kp95aYtH5HGSU3Sv3mRzmmpebe2WtD/XiQqJt4Z2a2hTp6TOPO2cetSoh2ktmlKTmpRJJBMJ9awjIk3T1AqHyKMBAAAAAABgTCGABoADRBU4H6DE2feL+T7Ws1ovrK91N6alN5qorz15HE9PLqXmk5S0K5VLlddZ3o6ks9X2dwimtU45WzKNiDjnNbwYshQRMcYae5clnW2SqKnrb91177CsjB4WQn1nUBsEgWonYtt2IpEgKZmfN/JrmsvLt7V8kmlGqVTSNG3ginMHgMrQ8+YMnQlTOiOO36LPp5Haojzaa04yIo0yiygiIiGEWjfv0R7j+Gx4XNIxDKM3YC8UuCsHj5i3RkmTogSFzsHxe6occSFCR5pEJuWJk1yc0VKGWF/R84EkorQuF6YDT9C/c0NWZAtibaHdFtJLm13ar+nzUHzS2kKNQnpth6QdFaKKQaJB81vSxtSsXVeTjfNoznlcJQ0AAAAAAACwH+FfTQAYE6rUV/XWODBnzPX1hF2vpXuXJ/yutHSGifciLZHLHFNJzvSNOsF0xjgRTdl219TKivXNX2HCt932bGlNurwuMLJbp33KtabU5l8gIi6jqZ1/0cOCZzbtMOdr6UbdbROk605Hd8NJRJQpvlJMH1GuVCwWkv56mbBhGKZpNHY/nt3x8ub0OxvD9ZqmtzWduSk9X5dCNeIQQpQPbOGzUqlU0um0aZotnUt0MXIAPVm0E5sx4rDuQCOidWU5NxGWy2VN07Y4XBBtcfkRNhGRJ9hQ6bPik8ZJ1PAgL0bTnmK0OEkxWAuOajXMz8vdcmSby+OzoqNY3BBliEgQe6FoTLOiYsTykZZkoQw83dYDzzkpGxiG0VPxsrb1RN9o24OMJVndJCQgvj2yt+fp+XxA23oMijJczMmwxpQ5uXFSXJ6vwmjURwMAAAAAAMC+QwANAPtNGIZxgHVgCCFaN69r2vFQ2mtroiHLhwXTe2vfVkwvjLQEMR7f15Cu5CYRzdv001x28aaa04lo7pabiGhHw7u7698xe9uveeRIbmya/mlOsmH7Q50tZ6k6bsMweOTwyA3NOt9uIiLf99tpRkpKKSXnXK0uaNu2YRh1fc9Myj+zNntaythcMZsz7pN99tFEpGlasVQa+8dpcOl0moiY8NVbBEm/Y1R3y8xcFJZXuanRjN3s6q2e9tYanuByU59GxHb42g4/ZbHIkxoRZVlQkEPmy4J4QbD3NlPjpPqEZRFjjuO27eh5onsvU9GkJt+cLBORbphP5vqvRhjrlz4TkSvYUzlD0G77d/j8TVYuYsIwdFdP/qNPf1c9E0K4rmuJMHCjd2V83TADSdquBRlDSUT0r6GrpPfdYcmwxRaP9Rq7cufhHquAtF6h9eaJ8oLad2gkklwsTPjTGuvq617vUqPWM8SShgAAAAAAALAXEEADwF5Spc1BEByYrhrV5y0V831bVs7t/TMjOW/okbnkYd3N76/ewyJHagkppRBC07TQlzO239U25az1s7+iBszd9NN4W0q5fvZX1OqIhq41b79/a/P/MWTANFPl7IKbkukzt91WTsxmMipkjqhl5abWZavrP8I5z2Qyk3r/Udv9AhEJ4q2Ztx9WeZiIjiosIaKu2hOiMNQ1LZ1OMxJcBiGZjLFyuXzAasZLpVI6nSbN0iNndvuvR3OXjdMvbpkxeyrRm4leWrP2WSczfL5JRKFkTw7IW71dtc/DpM+KJPb3TnnBJGZZFhFZppnNpP/RvWXEKuZYDQ/fUifip6vneUSk6/rxifKT5VH1wdBISGIDz+hL9pqfPK6OEZEtxbvqAy+SJme2bXue5/t+FEXqdLsdTdNUlTQRbXX42oomR30tAzUY4rhs6EUkQ8+2rG6fbXW19RWNUf9GKafW+4/0jhB8R8SLgi8v68vLHm3ebpJYZJcWzp1lGoYQIggCNUzXdRVGoz4aAAAAAAAARoQAGgD2gJRSLZR34E/tOpVC+5pk1zP13nqLqGEUd0kE3abX5VuN8R6pJRzHCcMwkUgQETOSm5o/GnhBIkFENKP1ju0Np8aDGWNSSsaYoevE2I5Jp6aiXkdrLheLmUyGiIhpCWfr5mkXqoeFiASrr8z4zNGbflp0FmZKa9RxKkaj1IzpzrPVc1vQelO/2Xo83WvOkQ3vOJCNOMrlciqVasg/PcrxLTNmx9tHL1xwRBQ9tqZtqz/WjSbYg2s6PvaWjPqCc/6xhbV3r8mNmH0TkUbyzbVRsbizzFzTtHQ60+mzp/v2oK1HRLxGF3MS4QvF+F5ygV7cEqWPrd3ZbSYOmn0i2rXC5OBHi6IoilzXJaKWZHK6HTHGnsvrfeHIqyMONCcREZGlkdQsIUS9TrXJQK0uqAYUQ8rotMXhax2t0YjKEXMEH+VbHD7x59zsc6/0cpILzfKiWVOTyQRjrPqzDqo4WvX43ov5AwAAAAAAwCEPATQADKdQLLmuq0qGkwlbVaEeMFLKYr7P3/JkY/7prHSzI99jN1bQU5t/fkfTbkXQiURCxcpRFHHObVnKih43mlKfW24GfTXl1eXskUTEI0doiTAMoyiyLZOJ0NeyZVczyCci1V6DiCpas6xUhBCMsVQqxUi2dCwhojh9bku9ucV7gY0isbdEaXviWPNAhfs7M3QiI+jdUX+y5XfZQdfwdwlYot8eTdPec+SMXD7/76259tAcTSK8d3KRHoZhvERefV1ds9bVGY0cfL+1Jqj+MplMPtyzN3F5PuQdnpyjlTZGqmia5YT1zvowCEIVJfcTFwsPr1KpqI0jTZ2n7X/k9vj1tbzwetI91YrqDTHJ4EJEQRDYtk1EGZ2IKMt8mxszLWlXddHY6vLXyqP6M0AQe9VPv7q2wCm/wPaOnz1ZHZyIqlcW5ZwXy5UoDGuymQP8swIAAAAAAAAOWgigAaC/fD7f1pN7pdvrifSIqqsyHY3ESU1sVsuUgffyfb9UrnieF0gqR+QIihiPuB5pOhNCl6ERBcfOmDzKOfR0bde2PlpffmWS7N/BINadPtbJzI+0VKiniGlENL3t7lJyVkPu9VpjIyyoDT3IZ0qvJd2tttvBaPCeIe3J46dUnieiGa2/bZ98Rn3PsxG3E25bwm3NZxYV04cZdibUTdu2mIyY8PWowmTkmU16WEiX1zVsfnJg/loxGtmQV7Ab12hU4fioRu8b27ajKFIlq9neZ+r9jSPeRRLbMOnc2YPdVFtTc9rRNY7rPrexY63XP6Qe6NR6/4k+I5R7kFa/bRKL0+edB1nQfOfq3hEj76fy5nsafMuyPM9TZe97jYX+RvF6y46Ia0Q7F5BUDTf25eBhGGYSbEEynJkQvqDleb0iuEEioD0oi273tHZvZ8Bsc/t4I9jiaK2eRkQamfNT4dN5PZCMiHQmTUbenj/XBLE1rr1mde6olP+W+dP7VT2vXLPu2bJqDl5KsrDRFEdNSkxpbkIYDQAAAAAA8EaGABoAiIjy+fzmjh0v51lBaLt63e5WKMpIzjcq8yfXNTfUEZHjON19fW4kc8wONT3iGjFOZBI3iYh2X6tMcs0nw9ftlVva59Rn0un0oJ/Wl1J2bW9Ltv69xlk7RQ5XQFpIH75j0ikVx4uCiAIiqhBRJpNZU3t6Kpmszz0bHz3hdczb9FO1XUzOKyXn59NHTO5+WO1xzMldk97tG3XEdSISQmyvNDLhb2g+NwqjSuY/TNPMRd7k9vsiPSWZxpg0w/z0trudxDTXaLT87kL26Ck7/qIFBTvoHnSq83P/u7HmlDnlZcNcDhGVtYZNdWdwIQYtp90vDMNQlexCCF3XGWN6pXVm71+5HKHmutucv/nRHZU7l1Dw4A5N4zNn1PzfL8x7//s43y0bTdj2iUfMDl7auClMDn/AETsR93OkVW6p7//WRW1tzTvrdvxjFJ00PEG+5xGR53n9Uuw90iFez68Zyck2tXuch0FKjzKWZVmWEGJf2qeUSqVJdpqITE7vqAuJKBewF4oskmy6HVUEc0LmCIpbUS/UC9Nr7C6frStrZdE/p3YFe7mkH5MJD09HD/eYEdF2j59UH/S6UY2l+YKKId/kaIUhV+4cwctls/Ol1tkpmTG1poa6ZDJJREcvmNuSyz+6uVCQRkXqWzza0hZRW4dJUaMhDq/lc2bOGKY5CQAAAAAAABySEEADvHE5jrN63YYXyrZLGhEjGiQYmsS9hRlqaWro7O5xhb7JZ+t3lIkYMUZ67Z79CGGsmKhd6RBVKqZXToSuLcP5c+cQUce2zTVtf63xNk3rv3DabtobT6uk5kVCVioVKlXi/bqu27YtpUylUtNb76jOtiuJ6R1Np0tiknEpJee8peNeIvKN2q3TPqWWibOZxlTPDWZtl1Op7JmmaVlWpvSaS82hUbt18kcZY6qvrpTy5aYLoyjKZDKVSiWKos7kSbZtL2y9iQ0x+Vn5R10tYzN3wLJwOwnSXst8MGNZcWeP/SudTlPVenGqyJpF3uyeB4a5lyR6KXlm7qKvkPvQ63ujSGzc1Hf5fy+//L+zt/7P4Sec0O9eJx81239pc1u0T7XG/bzipV5ZW2RUaNSCt7Wkp7dMVfuPXjj/yX9vikYqgv5nn3FqQ4aIpJSjLzA/td4nRkLSY70mEdlcnlgXCCEe7bOJqIl7U0wWRZHju+RT0Xc556lUKp1Ol0qlvbtMKWVKp9VlbWEy9H3f932N6D+Shnpul0ol0kmdJRC0tqJxPflIj/bOrPP2OklEQgj1loCQ5Ah6uaTnQ76s7/WsPxdy1X7ErMh31QcJTTRZgoikpJdLfLu/x38PdEVGl/qAQXeBKM+IdEYtujvHlqUoWO+//j6ET1pboLV1EXW1MZLNmn9ELV84fx7aRgMAAAAAALwRIIAGeAORUvpBsHrj1vWFqDNSH4pPDxxmUnS4XTFMs5yoEXq2i6irQpRsHDhyLzHmW6lINxLdqyv//nOtv3XmUBMmCvVMe9PpvtkQBIHneVQqE5FhGJZlqThY9Z+Nk6xtLecbQc436jzPsyyrUqlwL0iavK6wMuG2tjV/uG3KOSqILBeL6XTaNAxiLIoi0hKcKJNOm35PQ+8j7ZPP7DFn+56fMZmu61JKlQkSkWmaKduQUqqqT5IyU3x5qPSZiBiRLlzShhywYfrFGaJ97OEwPPX4lEolKWU6nV7Q+vNhBju8dtXDkdWl1qgAACAASURBVHfXvUQPDTOs8Nn/fO7YxcffdXt1jMgYe/+i2Vtb2x7rYtGetI8YkSTWG2lLt/q0ddOxCedNR8wzTfOseZl7148Q+EpitKttdzKZTHDpiJFzz2V9xkn1AZPilDqXMVYMmRuRrfFj0sHKkt4nLSJf1/VEKhN4ThiGQoh9f/+gXCotTKWqI+wgCFQ7afW5gVKppM4yg0iX+kk1BudcvQT6FV8fbWiJbIKI/tlneJJV9yrxJYsbYXOS764Pjs6Io8mPJPUFrDfgfQFzBQvkzodudJgkCiRtDhI0bPtrSWx7ZG3vocd6thDR4Wb5sGmNTQ31xj4UpwMAAABANenmiYgHRSmJkSndYYsw9qQmgJmZPRoPAKDg/z2AQ5/rutt7cqs7ejcFCUmMSB/0tZ9lwQw7iDJ1wrBcqhuLThBa4KUqO5oLL7eUn+Zy8EbMSjG1YMekU0PJfd8P/ZD8kmq2S0RSyiiKBtaZptNptWagtOqISPVDSKeSU7ffn3S3EdG6WZfE94rXDCTGpZTJYEfLtj8yGfXVvq2n9i0bat4XlUqWZakz7sy+iVKp1K4iU8kYKxaLuq4nEonmnseGv/CAJ3UavDnDmknnaURxR+axUCqVEokEYyydTkspZ26/a5jBeX3qyv/8A42ujDd6YeVrt/9u4YUX9Ns/Y1rLhdPoyVc3rvFGaMexR2ZqzoYoTcRecJIvPN/epHlvbql5c6K43MkMf8eVBf3IZMJxnEql8o5a/kjvyC2JA8mezevHpVzHcYiIEVnp9OO95qJ0eGpD8Hxh5ytIY1KzbfW9i6LI87wo2tuuFkQ7K50HM3B/GIbh0EtWqtdIIpF4Zz0jIinjJJqIiJFU4bIg9kiveUKtb1JERJZXmUI0VWepVKrfE7IYss0Oz4XcHUV8P3qr/dTqjRXaWElQOMsOFs+cXFuT1TRt5HsCAAAAwKBkJB///4gou6tSRw7zj4ZmkrEHVSPsXT8ghhwJAPYYfnAAHIKklIVCIQiCrdu7XiyZjlRpzuBRYAP3pthSpLORkR22cnHvZ5Oo9E7NvdBQWZ0Od4zuPqyz8f3FUolzzjlPJpNmVIqMNBE5jsMYUzWh/ZRKpWQyqeu6yosTiUR95ZWmzU+oWyuJmVEU7WxGoeZFRIxN7bgv6bYRUT59eGfDqeVyWWWvtm0bhlFd06rO6/s7V7TjnKt4mojaJn+4uetvelShIbhabUIMEkBvbTxLaCkmhKZp6mJVNev+ouu6pmlBEKgUVTVwsMLcUON9nlr5+TvJG92yiURElL/2BhoQQBNRR+eOtZ69F3MeRpLtlrfuiKy/bnWJRkifiagcUdxEpVQqnVInt3j6+soIvwHzIX/FsQ8zQvV8K5VKJ9WlXy3pibC4KGEwZhCRlFKVHhuGYZqmKorfx2bQ+5H6vhORrusn1ArO+eqS1ufL2SmaYolCwFo93unz3oB7gk83/Uwmo4r947xbvRBc16UgmM1YqjYliDo8zYnkdo+7cr8lxQ7pq1199Wt5olwDD2fX6HObapK2vfNzBgAAAAAwekGFaHSfRhShWs4dAGBMIYAGOHREUdTR0VGpVIhISukJtrJsOZLXMa9P9i/5bOJuY4KJdI3QB8+d7cjPRI4lQk6SiLZZ9ZLtyXvjUZgtts3teSTrb+W0B6Gqaza2Tv04MZomNyWKm7kMCpkjfbMxYkyVCQ8T0aprT6VS9f6mptZHqpfXy2UXNxZXOIlpFXNyGEWu6yYSibrKapU+72h4dyG9kHNumqYKbWlATwMVzBGRqoZOJBKu63LONU2r2NNLqfm1hZVDTsxqrnPaBu6vL63wGj5AJIhItXEY/QM1PM65qmA1DMOO8oFdX6lURlz/7ZVNM6rT55rLvxxs2lL509Lh7uP7cfdhJQiCv63p6AzNUf7RWy2riXnJqCfgO3w+KxGuLuvVvSNKg7UpH42y4I/n7MmWdVQ6JKIwDBujwqz6VLvHX939FP1MMSMpXv/EYrlcXphMaFpSSum6rmEYcWF+GIau66ry53Q6nU6nHcfZl2ro/Ssul57B+ZyUbppmMWSmJo9IR3PcMhGFIgx8zoh0XbcsK24I47puvDBmXKBdQ1TL2OysTUSaphVCvt3n21wuiSW4XJgKJVEoqCh4p8ddwThJsSfdPHqE0dNHz/UVjk73TraEaZoNDQ3x+z0AAAAAAAAwsSCABpjwpJSbtm5b1e12B7rOKRBGKKk67qlOnydztykh/WyD5Nk4nWVS1oSVZORpJBhRFEVRFPm+z3Tdk9IwDF3Xp3u9vXqaR0HBGi4GMgK3tm/j/Nxf7agw/LS3TPn4zI67B+63/a55m2/YeWnENsy+ZGcsKwTnXNf1uKhzUOl0Ol1aO7n7oZ6aN3dl37Jw2/+o/Zny2s7G9xWLRQrKRJRKpeZtvZnLgIg2Tv9s0SNZ8Yi8OGWuZprmwHRYxdNxKNZZe6JjtUzp+t+BUwp4osVZMXB/b+aYrux/MCI9ciI97e1J3fHwLMsyTTNec292z5INLZ/XNE3XddvZNtS9fJYofve6+Et9xjT3H//ynn9x+HPx+XOr02chxL2vdDrSHOYuA9Xr0XHZSH00MAiChpSxIBUR0TQ7kJICSU/nDE+yrmjk1hlDkcQ6PNbhmRaTb85K1Y1kqiVa7KASyifzls3lwOYSK0vGKfUJm3YGr1JK9SZHMpmsaHYdl2ohSqrqQk67ivGTyaSU8qCKoYlICBF3Mw8Z8wzDtm1V6R9F0fAvrmrq0tQ2J2phbGZK55yHYRh5O683w9g0ixuGod75aK8II3Qk0cqgbpRneamkv1SSCS4PK25fU95xeCo8YnpzbW3tHl0yAAAAAAAAjC8E0AATkuqDvGr1ayvKtrfzU/AmEXmDJ12ymbstCVmunUyU9aRkRFNK2w1dV8cRQui6PrBpgOo8EPeZNaiYTCZrhEtEfXqqxi9qmrbVnkRSWpV8Y2HtgtyfBzk3MUlad8M7C9mjiShZWFPJHEaM6X6fazS0Tju/ufUP6aCjX/InuLl52oURt0lKtdigCvhGbA5bqVRYZsFrgX5Y/i/1+ecksVDPbJ52YalUol3L0Gmc28W1EWlcLZcmRSqVoV09fDnnQRCkUinVcMO2bV3XTdMc2IQ3kUjEE+Och8Yg0bwkpmvUb4VCSbR++n9KKTnJMIq8UDe5UGHxfuF5nq7rjDHGWBRF61s+ry58Wsc9ibBnqHu9smMR0Z/iL8OtreHW1hHP1XLDtfG2lPL+l9ocOdo65XckcqrBgtz1XVbxLmPMdV21XiJjzGR0Yl3wYk4WpUEkhylYHg1Psn/lBwmy31EbcEaS6IleI5QUn+XRXpOITq6VvufGUXKlUrE1zdOSgZHURCnO+mPqQgzDSCaT+7444RipXlpz3w81sDGO+vESRZGqoc4Q2Qlb1/U5lXCjqw31fZyfDLa4+om1gS+o1ePbPc0V9HJZF5JeLJkvru6T1DdV8xY3J2dNn1b95gcAAAAAAAAcnBBAA0wkURQVS6UV67e95qcEMaLUMIM1Eo2aPyVJlWwTyawno3q/kIo8IYTneW4UVS8zOMryWxWrEZFBJYexdDo9w+1mwp/efo8Z9kki12xuy7xdZqab5a1Bajrt6tohhGBSCiF28GlpxkjK0KxrnXa+lLJ9ykc453O33KTqkYlo25SPFVidX/GJhlwKT+WVOydjGLZtk5REZHvtLZtu62j+P+vqLmGMGV6Pb9YxxjjnlmXpuk5ErGfNtMLf4kPNavvtxplf8INI07RkMhmG4dTy8t7MiZZlWZZFUhJJGqz9iOM46i5EpAmvpeOP/QZIYiVrajbq7Ld//fT/VI2qk8mkrnFNs/Z7y+D4gKqJthX2zdw+SL15NX9Lq3bsItHaLru6R3mW5Kc/OXX2rPjLh1/e0idG2/f57TV+Ut/Z3le9CxI/CR3HUd8IVUqsaRpjdGwdiyJP07TleT0X7k3sOMOOunzuDLGG3qO9ZlaXcxPhO+sCJncu2MIY6/HZaxXt8Zz9zjqe5OQ4jnpLJoqiqFzMptORlhahP+grKAiCQfuVv2GpJLqJaGZNIu4So6g3IRhjhZBmJQIisjWalxRzE5HqvaMeYc65YRiMscB1XnptfY9PjaacO2tGYtdSkAAAAAAAAHCwQQANcLCTUhaLxc5c8eXOUntoEjGi9DDjdRKTdb85yfxUrSFtS4QNTlcURUEQhGE4ZKC7J0zTNE3T9/1isWjb9rS+xx1rytbpn1TBnK7rjMhNTJORkDLyPK9fcahaSFBKGddWc843zPzi1M6lTEaRlrC9Dj/TYJrpfkXHmqZpmmaaJo8cqSdLpZKUUgWUPCgZUVESd6ypr02/2HEcw/Nqo+1eooUxrvJNx3HUIoTUsND1XrS9TiKqGE1tLeeqE6k0eXrn/WZUyNccE+mZutyzfbVvIRGJwaqT1XgpJSNRl3umuuW0sj157FR/1cA7Tu56sJSan/S3hlGmt+bNpbGpkGWMpdPputwzk1qfG2qMxzMFfWo5TCfKnW+aupLOsohml+23b+iYXLzulzRsUXb9DT+Z/973xF/+45VN28LEiLNqMMRx2bDkBSndoF2r5KlnlBAijmvj7UqlkslkfP/1hHdxwtJ1fWfRNPFXy9p2f+SFUxjJ+Ylgpubbtv1wz+sdQmbaUS6gfKQRUSFka0r8Tclya5SYmxTlcllKaRIda+mWZRFj7a7WE6YPT0Wh76onlYrIt4X2nLRJJD3BbI3Uay1+esNA1b0+1PqNnHPP83zfZ0TFqptUCyAiUu9JOI5TnenXEIWCb1i/XrVuT6VStbW1yWQSYTQAjDsp5fr16x988MG+vr6ampr3ve99CxcuxE8nAAAAeGNCAA1wkJJS9vT05HI5IUQxoKcLJtFwDXB1EnMtf4otDV3zvECEIpHfHkWRlHK/hM5ExDm3bZuIHMepXqNsS/ZdnHOvWFRtHzzPG34xvYHBnAryNmTfwxizbTtR3iS5EYWhCpI45/0aL9hBdzq3toFb+fRRoaZltz9Srj22NvdcR9MHSUrVusHyu9zkDGJcNUBQEadaOy5tMdvr7K4/sS97bBRFTqmk0ivDMGZvuSVnTO+sPX56+71GVNw87SImQsE0zlh1zfXOadg2EUWF9oW99w16pfXuWsEZ370Bh8Nr2xvexxjLW7M1Tdu//RkYYyqw0zivLzzbsG2Q6DmnTy/oU81ce6rSnnQ319Pm+t0HpNyORXUd7tXvWfW4DB56eOARkhd/duGXvmCYr8e4vX25df7I6TMneVw2JKK0ZagmwrquqzUMgyCwbdu27fhBjte+qy6OJiLP86q/nMP54TWWQ8bygh7J158kaU28rSbsDRhj1O3zLa72TN5YnGHryzvHzEmEc5PC931f5yvK9lv/f/beM0yyqz73/a+1dg6VOvd0nKgcQBEFBIhgRDDJ5liPwReDSQaeCz5cML6+5x6wOTb3gIUMxiAjbIQx2baEwVgChFAWozhBM9PTOaeqrp3DWvfDmin1VFdXV89Mz0zPrN+Hfqp3rb33ql1776p617vefzZJAXTMPC/dbjIAhDHmmRsVNdkGyBGCQQuJllGPBEN7nteOMaVamUqWxDzPQwjxeJYgCIQMvSYVn7gkSZZlLY+iXm4h5yHmfOhr+erLU63L5fLs7Kyqqrqui7qFAoHg1PDpT3/6G9/4xrXXXnvXXXctX/7QQw/dfPPNlc8yVVV/8pOf3HTTTUKDFggEAoFAcA4iBGiB4IxjYmLCdV1uBjRNc78rjYWrGjwJsJ1SGeWadAKW5wV+GKzW9ATgRe2CIKhEcCynohAdt9YmSZKqqgghFiy6buqwlpbZx117p0xIKWC2bXP1uaJSkaiYLe8BgHxpNwUynb02VTJD2Zt1jAFAoj5j1MX50PUqaiYhxPM80zRNFVGiH+z7sOu67Kjx2VRYz9g/StSLsb7Y8er+kTvGOn4nIBmMMaEhS2Kk6Cszml3XtW2bZDonpdd2zNQoP4ghrfqVOWy8JCxchtGRl1PzeK4LXdcrudiWN5Dx9mtLcyR1q/Y7qV3ssVzL1GNaOGfTp2xYo7QgAGjR4hXXk8fDG5Nf/IovkV/zyubffVvbZZeoerXWfHC2DLBG9PNWPd5mvHAM0zTVNC2KojRNPc+jlAZBwANDqgr3ua5rWVaSJJWf8cvh3nYA/zpTURSFArp/QU4BOSn++YL84kwiheUtCG0rmA8V5QdLKgCYhF2bjVzX9Tycpqmu69dlwyiK0qNTBMrlMiGkZvHANE1d18UA/rI4ckqp53kEwNMzTDENFpXLZYyxaZpBEIgUjgbhoSurPcvjpNfcCD+dPM9bXFzUdV1RlNbW1iNTHwQCgWAD2L179/Dw8O233758oeM4t956K//Y4tM4wjC85ZZbHnroocsuu+z0dFQgEAgEAoHg9CEEaIHgjCBN05GRkTiOK3IVQsg0zZkI11SfMbBLlFKY76BEoiibix0jcPzGcpwbh/cBABzHaTAk+vjgv80AAGl5C6E0TRfIhbqqU4QMnNbwCGcuLmcuppQyxippDJomAYDrupRSgOq6ar7v5zWaXXhwLv8S13GWq8mWiraOfJU/lqmfKz11oPNdQRBYFu6e/O5008tlBPNObeXL8zxd111zR81nJ60re72HKv9OFW6OzF0VafgEdUlCiK7rvVPfVpPFmg1iUA5kbuka+Q/Dm2qFXx7HLjBLd72+c/h3v9hz2aVWNlvHtFWO16igiIG14+C/5u1mHF6eR1EUKYqy8p2thFpUSfOO4/BEkToCZcUGe72tyrJy74JCAT2+JN9cMF3XTSgrSHQiIi8rRASOmJe5oLk8DqLCmlpnzQZy7O2J7FJivCxPXNctl8uWZXFbNw/0qL9NwUmEUuq6ruu6xWLRNE2M8ZYtW3hiu0AgEJxEDh8+XCgULr/88soSxtidd945PDwMAJ/85Cf/4i/+IgiC97znPf/8z/982223ff3rXxcmaIFAIBAIBOcaQoAWCE4nSZJw3Xm55VOSJF3XASCmsNc95iKVIb1Yc/1cOyWSD1kAkGjSGRYZY04tEe24kSSJu1Pr6H0nkSpna0X49jyvpsxX1StFUXhdsjpxFrquBwCL8iXyskxqWZYNGW0d+UqlGQMoW7s0CDrC3+Tmnk6xHinNaZoyVvvwVrp3qP8jfSN3SOkLtQRn9QuWq8+jTa8r4rb4JAVuaJpmx+PdYz9e+VSC1MP6S3uG/k1O5s+buOMEd5RzB9ANHzTtTP1m/SYMV2v+x0ABPeTaWRRdllt7p0mSrDQgM8Yqb5xlWQgh59iBhAo8o+PmgnXvggKAZmPSYpqU0m6NTkV4MsT5ZGntThwXSZJcboU/L+oUjpRJPDVXkKAOjB0ZbyiXyzzVp6enRxNFCwUCwUlicnLSMIympqbKEkrpT3/6UwCwbfvP//zPeS7T5z73ufvvv3/Pnj181Pz09VcgEAgEAoHgNCAEaIHgNBBF0czMjOM4URRVbLDc4AkAvNAWxlhS1JQBAMugpE9PYiuPJJJSI099Mw7H1IKd+NnUB4D6mcvrQtM0QkgQBKdROLMsy/f9BgM9eHyz53l17KWyLPOidjzGGmOsyJLpHmqf/Ck6NqAZAfSP/gMDcPX+Q70fjBIaHnsc+M/I5f5cXuBR13VP7804e/nCENv5ZLjSJkGqr/doCGmaxt/fRl5aTbg63z3zAz2arnqqLLXNsq09o/dsg2/zJQwgMtoVb2r5L92E6FLqB+YWKml6aQAAVR2EKryDD5ov+q36vWrKZ2FxjRd1lTxvW2aaUt/3NU2rEz8SRVFNs3PlF7vjOLziHA/mDsNwpZ08jmMFKVdkopmI7HeVG3IR8pZuzGiU0mgDnMhcEz/ST2AECbPzGQf3oQPA/v37NU2TZbm9vZ2fRae7awKBYBNTKpUsy5LlF3KofN8fGBgAgD/90z/l5SIAoKWlpVAoDA4O8soHp6evAoFAIBAIBKcJIUALBKeOIAjm5ua47sYLlC33eFqWxXOfEUKqqmJJfrrILjFDXZUVjBWKabQYu7GmaQzAw0pXuAAAvOLfiRc6QwgZhnE0Tvc0s5qztSaVAnFwVKCsWleSJFWRmTut2J1AUwA4b+JrmK16xKZaXlPStwdBQN1jDoVlWVEUYYwJIVxt5O8XISQbDOYmntTDSd4yRXKkFjLxOP+XAQx2vRsBHF8cMHfE8zEJTUZZZ0/z2ENVglmEjIWgtWXiN72wt7LQt7onz38HYMIY2/rYp2e3/TaOHK9wHgNMZYNiOUkSWZa7nvpbJVyo04HC6H1QV4D2fP9ng+X6Hyg5FOmaijHmKc8Y45qBzhX47/OqkRXHcSzL4lkWaZo6jsMjsIdSU5NYVmI5iTFG0zSVJGksILbEDAKtbKnLUhCSYYXX/iTC5XJZljHGN2UTxoS4cObCM7sBoFwuq6qqqmpzc3M2mz3d/RIIBJuSlSaAcrl84MABALjlllsqCwkhhJD5+flT2jmBQCAQCASCMwMhQAsEGw6ldHJykjvv4GiNrOUNDMNIkoRSqqpqKqleGOsYY2CXZmgURanrRYxV4g0qCubJiXJYlrZR6eFp57ijcmVZJoSYyawrtfi+r+t6JV1aVvUEYPvw39bfgqv3OdYur1ZQBkIo7+7pKD2wv+sDaZpSSg3DUBSlderubDB4zEbUzuxR9RkAQrmFMUYp5fbnBl8djwjgii0AKIrSM/cjY4XrGQB8nEVT0y3J6PKFU9vf4jVdSClN41iSpIkL3rVICnJW5h1IvRAgBABJkmZ2vG3LnjsQWzXy2NdavdHhXFuHoigrn/V8/3v7F5O1Pk2aSShJMpfsFUWpI8Tz2n0AwON6qwoScg26Yo7m4yVbVfWwRw56x5RGbJbppWboOB4ABEGwcdLzckS9wc0FH3LzfX9paUlVVU3TCoVCLtdATIxAIBAcpb29nVcV5h9eAPDd736XMbZly5bW1taqxoSsWlZaIBAIBAKB4CxGCNACwQYyPDwchmFCYfeS5KWSLbHLMmlFf+RW0MUYPbIk6UjqCD2WLaS61iYtEZaeYFBDI2iaJkmS53lnTUwtr0FHrHYJIdM0MWJcrwTGesbvYlBtSp3JX1/KviiKIlVV4WgVO7Z6THN76UEEIMuyLMuMsZ7hOxRardqXta5sMr58SUqBMeb7Pl9rzVehaRqlVJblrvG7NFoCgBTrEq19MvgkhyfGpbRaXS2MP5Cd2T2y/e2yLKdpOgdZSNOVgdqO41CjmRKNJDWGHxjgAeOl2W99TWE/9gAczfCv+638295lmFZl9R8cXEpWHNiVWChBSFFVlbvI67Q0TbNp9ieFeHhW2VVoDQf0V695fiZJ0m9JBRqHQdhiKoM+GQvJQozEHGdBg/CKpo7jFItFwzBkWW5paclk1og+FwgEAgC44IILHnjggSeffPL6668HgFKp9IlPfAIAent78/l8pVkcx0mS2LZ92joqEAgEAoFAcPoQArRAcPJhjO0/eOiBeRIDBjhiGlWBvjiblstlXdcty16K6VOOfAFdio1sd0cOAGJoKsRlM1xwHCfGmBDCszi4alkz5fa44RkIZ43uvBxCCAJQghlPKri+DwDlchkhNNTz7q0jX600K5nnzbS8ynEccBx+nHke92oCMcaYMXa4/0PbB2/bPnjbQuaywtJTVW0YQFHfXoiHqpaPtL6ZJollWYwxLpHXR5KknWNfPmbJKuozA4jnPXOF+gwAYxe/F4DJCMdxXMf8a5qmvvg8XqE+M4Dh7jdYX/rfOXi+shAHnnnfD6L7fjD3ird2v/OPnz80+KBjQAPqc6/kNdtGkiS8J4SQOkI8YywfDzMAu5l6UO0dAwDf923bXl5wMk1TGnh5VX041rtw2sWK5xUsACgmOFcrS1ogWIksy3w6CACkaTo1NfXs4bGtHU3tra0iJFogENThhhtu+NnPfnbrrbe+973vvfDCC2+77Tb+Yff2t799eTB0qVRaWlpqFbcUgUAgEAgE5yRCgBYITiZlx3l4//DB2ASQq54qKBQAdMPwUggB+5nm3gy4kF/eZkGyACAoZBBALnYUYEBpeXVD7nHAYw3q1H878+F155YvUVU1jmNJkjQZt8/8ZEZ5+UJisNgHAEVRoiiSZdl09lfap0hxzJ0AYFkWToPUX/R9pKpaHXWYUooQqowB1FKf0Yx1aXvwXNVyn+QrMSBrWtp5YTSUNuR8ZwDjya4O76Gaz2597NOJbM31vsYtnF+zgWEYGEHbwI+shT1VT3lqy+wBZv37/15t15n7vn+wtfvBjmsa6acK6TYLeZ7HUzK5lL/yTaxAKY1JZsK4vBsPjaSXr5SPeYhNVZVCngp9fT52E0gUK2KIhr6UJEJ7FjRI1Z1W1/UmDZdLpT1TZT31Lz9vu2Hoq60rEAjOZT74wQ/+6Ec/2r1796c+9anKwquvvvp973vfcq15aGhoamrquuuuEwK0QCAQCASCcxAhQAsEJ4EwivYOTeyeTwMgAOaxT7IcjrcoSV5mRZJd0ow625GScEGyNBrnY4fFkXvyUmsrNQY3tfTMMU2T/3jzPE+SJA0FuncAIWR6Y9Mtr55oe73jOAgh0zTNcNRXe9M0JYSUs5e2LtyPgAHAQM97eya+vWXm3yvbnNXOn2t+mWVZFRFK07Q0TSuKsyzLlNIwDGt2KUXygnH+SvUZAAbMV5CG01SCIJAkacfE1xtpPKhe3zvxb6s9ywCPXvrHDGEpLNp2vvK6eC62Mb+vfe/3aq2FBo0bM/9yh7nyuWMhGa2BPrKbC1Ecx2kK/PRjjCVJEkXRauozj5n2ULYne/hg8lu+X/t0XZklAgBxHPP3y9I0CUkxISdenFNwzlK5ZvMAqqqOjAxPhDinyRf0dnCXtEAgEHDy+fz999//0Y9+9Gtf+xpf8oY3vOEb3/jGcvszAPz4xz8Ow7Cjcvy/WAAAIABJREFUo0MI0AKBQCAQCM5BhAAtEJwQ45NTj46VJhMVAABeKCxTwFGTlKimEeuZnnAeQIrjWE+9GBOfqEcaMWYnvsKSEEtWGkppzBijAY3j2K+lrx0fXHpO0/TMqTF4gjiOw2fKb3EfKzjPIjhSfd7TtnRO/mC8/c2WZUneRN/wPyAABmghf63izNvu8wBwqP8jJHEkFgI6pgpQS7CvKL1yuQNalmWMsSzLnuchhDRNCwL/ktlv1OzShHV1j/9IzacQRo2oz7IsI4QsttgzdlcjB2FEv7p3YFX1GQAQ0P4n/hd/fGD7O7vCcbdwnhwstD79I5LU7k8oZ2b3ssy+O9bce+nt7z2/9G9z2b7nknrl2l7ZFDMGjDGeQ+37vmVZqx0NHonetPTYFO6dLLx6OsGe59VJ6nAcxzAMHq5d9dSpqTcoOHcIwzAMwxxCSqwMDw8nlOVz2c6OjtPdL4FAcKZgWdZXv/rVL3zhC4uLi5lMpmaC/Nve9rbXv/71TU1Np757AoFAIBAIBKcdIUALBMdDFEVPHhx5ZglFQACOCMpZFHWQgOQKqawynAEA7p6dkrOFxFk0MiGWASEAMJKgkDhJFPFgBxbHIWO1vbUnAMZY1/U4js8a6RljrGkaQggh1D9yh0SPsccawXiC9a0jX51svSUwtgz0f6Rt+m7bO9y0+EJIxZbxb+vRDH+8aF+aLz+9fAvcrMRtzlEUNZcen8teaVkWQqh3+A6fZDHUGBhwpebV1GcA6C3fP9n5tjAMV8v3IIQQQlRVbZ/7qe0P1D8CCVImW99Q6Ls8l8Qw8B/1G1fYeegfAaBp9N46bebyl9Jv36NFa0u3pVf9znZ4AACuH7ltbMsni0xZ2eZ8eakrowEAQoiXduTLV7N9EUIMw9g28bUZ9YLzW36zP3xVEARrFmzkYwOmaZ41Z7jgFEMIqemmrwnP4g/DUNf1menpUrFIJKmlpSWfqzcMIxAIzh1M0zTNVWcQXXjhhaeyMwKBQCAQCARnFEKAFgjWx+DwyANTUZkSfvlgYBfIS2BlY80CjBnAyjn/EZGnSB4AmqKyQUNgzPM8l9IN7adlWVEUnTXCHI/dSJJ42+jXEEtJjcPMQYd73sMYIyzuG7mT0OBw1x+qyULn1L8O9L6fIQkBkNTNlJ9NpEzZvpAlYcE/kg2dWXrWLj83vuW/8YCIMAxLzS+5YOiLB/s+nCSJTF2Z1j6YvtxkxcXVej7d+hrf9+tkQaRpaujq9tEv83iQ1TiYf1PnzhcTIrUe0XDXEGfXxXDXLcaX/6aqmCDDxHnHR40f3kGWFisL3cuu2154jvcAAbx+7s5vNr23ams35QKZaEmSpGlaJbvzjJGVR0PX9faFn2FI55Qd7eixduXgaNzXSM/XFKkFgtWQJEnX9YkAdWqMMdZ4sUpeBtNPQaN0dmZmZno6Zuii83ZuaG8FAoFAIBAIBAKBYPMiBGiBoCHCMHpsz/PPhDYAECCdJGxXEzfXAQjFkK2zImIsGzt2GsRxHIbhKSiJZllWmqaNiylnOLquE0LkxX19pf9as3FKtO6Jb2vRLADEUmaw973AaMf4Px3q+1DlgGCMHe2yJEmQ40D7qwuDRwTotoVfAMCOoS+GUn6s/S1UMmJ/aU/n+y4c+mKdPU4aL+qMnqnTwPd8zW5Z7gKuwjCMHWNfqbMFCnhi24d62juXL5QkuZjZkVs6WGfFBjnc8brMl7+wcrnz/v+XdfYuV5/j1q7+8xaXt7HCqS7ijaUvJJu/sikCwAAQhiFdMcoSx7GmaSsF6DiOjXAMAPLxMAAU8OE5/fxGzuGqUoQCQX14nA6lVJIk13XL5XJBlhlTEUI1h0bq8OviMd7/+x8e2iW71124lc/SONkdFwgEAoFAIBAIBIJNjBCgBYJ6pGk6MDrxyHToUmIj9VLDS007VkwAaMBazLqCeZokvu8ft0JGCAEAwzDiOK6fbMuzCJIkOWv0OE3TNBS0zd5tBCMNrqLGC5XHrtzWNP+r3NKT002vWC7+Ukq5MMrNswkxpPSYKA81Wdw2dgcDPND/oUzxyTq7o0Daon31u2SjctG3Vpvmr+t699zddVZ3pDZ40Ydaji1kxJFf+uHkP/67lJ5Q3vFc/tLM39dQnwHA+rs/d/6v2yv/MoRaXtkBafWJf/38j/4ld2vl3yRJkiThxQBVVV1ZtpEQslLpk2WZAiYALdE+gAIAmHTQJ+314xE0TRNxz4LGQQhZlnXfvEwBNUlpp5ZplVPXdSmluq4zWdVUncarpuVUgQGqBliej83nn5o2UHJtu7qju5PfvQUCwbmD53mPP/74s88+u7i4WKfZpz71KYxxnQYCgUAgEAgEZx9CgBYIajM3v/Do4emFVGqRk76MGhkZQKhxrQsx1h3OA0Cy/qgNQoiiKJJ05PJM0zRJElmWeUJxuVxeuYphGJTSs0Z6VhRFI6x/7KuYrcOQWEXOP1jGOw/1fdjzPLqKopSm6VDPe+RooWvyO4Qe0wYB3T54W/1djGau7/MerN+mp/ifUfcHuB1Y0zRuhOdPybLc5v7GjMZXW7ckdytXfGC1n6mqpke3/H/Or76UK64hgq9GJJnp93+2mkiGKLU/+8HKv8kf/R9K6YWoawaYl3/Me4ekHE2Ad5JxfVnTNMZYTT8pY2ylAB1FUSTl5HhKokcOjoWmF8mWOgI0vxzWZVkVnOMwxsrl8ssL1i8XlfmEzDsEgfwim9gKS5LESeWnSzIB+aWFOInWkKH5du5dUFc+5THpvsn0vsnRftm/ZltHIS8SogWCs5/9+/f/j//xP77//e83Eiv/yU9+UgjQAoFAIBAIzjWEAC0QHEOaps8fHpotuWBaelO+Q1IA4AUdgrEt4eK4mgNU45cDZpQiLNOkPSoCY7zeoCRJiqLUVI2r4HPDuWkuCIIgCHgVQf6sS8HEQCm1bXv51gzDYIx5nld7o5sNSZJ0Veqe+I4az5/gpqZaXlM2dwZBsDIIooLneYZhZP0hT+2K1ZZC8VG+3NV6BrKvvmT6a3W2P2Nc2nH5G+iDj9SsTLgMFkdBl/PgZPalCCFeb1CSJMZY3t9fWHpitdXKUrtyxfvr/0ZVVE155ceKSyVnz73NMw9r0apR1MvxtNbFtqu0HTdgwOSHv93IKovv/MiuoxEokZIf3vnersPf0r1RviSDkwXK4wiQ7/uGYZTL5dXsyWEYrnxRURSNN79RTkpb5v5NAZgOe6aDTt1SMcZhGC4PetY0DWPMVezGy8cJBBUcx7kpf0Q7ZgC/KcsAYBHpmmysQ+KD9MCCdEOuOr6cn8+6rvOzN45jz/MuNPEet8bsBM5grA/uL9po7qoWadfWXpHLIRCcrYyOjp5//vn8Mf+IF9e7QCDYEGr9Al2lpbgLCQSCMw4hQAsER5idnT08PuVmWqiSg9Z8zTYIYEnSqz77M7GbS/00TQkhU3KmPV4ql8uqqiqKEgQBzyKoj6IoqqoCAM9u5qnHiqJwMZpKSpmoIRAjXgIAbqTFGEdRJMtyJaPjLNCgdV1vKT/RNPXoSdkaBRJFUR2HrGEYCKHUmc0Xn5ho/+2uye/x5ZPNr3HtXR0zv1xj+32vAgCGCLB6MigCuGD6HwAg5+0fa369p3UTQnzfbw+fay0/ttpaAc5IV36kQYeUlcla174F4C0xY3EUzR7cbU8+XCjurTQIlbyntRSbLstuvdzI5BVJagMAAMbYoXd9goQumZuVRw5qzz+NaQIADOGlG18X9e/K4al8PCynbkv4QgD3YuZChJDmjVWWmBAuwJE83EOpfQmktm2vpvtTSmVZXnldOI4DQOL2dwRLjm7aip76vq9pmizLlUkAwCM+wsVibDyfqB0q2m5ZR9cVCBrFcZxXFNB9Cy+EODsprtiZY8CHAmWbznzfBwA+aEQIiZAsSfBQUXJTrCK130i7NdqiRA8W5Zit+jOvzKT7ZuAXM0O7jPimi7cL26NAcPbxmc98BgCy2exf/uVfvuQlL2lvb1cUpU57kc8jEAiOB4RAMxttrGoQru1/EggEglOJEKAFAqCU7t73fNFqhcKW+i0ZQmVJr14dEQpoXs8HSO4M510k4WyTlAT1Xc88shkAfKyoLAYAxhjG2LbtEbVJpklHXBpRmwABAJJo2hqXRrVmAAAEwKAnnK+UuuIyt6qqsiwjhBpxW5+BWJa1deSrhB5/pO/B3g8hhLYPfREADvZ9iDGI3HpJ3WEYZpOp3vm7AaBn4tt84aG+D4dRpAI0uc+usb+wCNAeYVNPG0qMBYAtc/fE2Bje8gcXzX8Ts1VHJlIgcM2f4vU7FxBCiqpuuehauOja+KhrGCFEAGwA+9jGjLH03v/nwmgWACAPkAe4dGfFadwGhyA4VHMvbXO/znhDCF5wJafohY+SmQgDpADgrjj4vGCgYRgrn6oQRZGs6v7STK91cCC5hCvLuq7n8cCU35cQNafKodIaL/kJoB0WS1Pq+z7GuI7PXSCwLAsAKKVpmkZRxBhznfLNBXvQg4Gghk40EhDG1F4pTpIkTVOM8T6HdKnpffPyLiPe5ykhQ/tdab8LsOxCqAMFtM9Tnn90+B2XtPI7v0AgOGv49a9/rarq3XfffcMNN5zuvggEgrOauIEiRBy5RkqYQCAQnF6EAC04p0mSZN/hoWmtAHbbcW/EkTRH0o5sECSDxp7nuZQCANfFEEIY40pcgKZpWFa8KB7VW7r9OZ1GKcIOSCU9W9lmTOQRlK9MnkowmVALL+wSwYjW3BPMOY5jWRY3UHMxejP6oDHGpq5uG7odNSblrIQC2Zt/6/nDf4chHSq8Ns5sb8QSaxhGz+A9lX9DKTva/QdcbwIAXF1gbAWKBQBj+VftmPtOg/1EwBTq7hj9Up02ETbo1f/3ic/eXXMLSw/e0cLV52N6eAwMUEJ0OfV44vOhiz4OiGx/9rP6MvtzipWJVKv8a6LalnOEEEKocqKu1kZVVae8dInz7yNw/aW5B57zrnfUFkc1wMeWDr7vuw4FgIJErtc8xmR+wi/P6BCcsxBCiGa4CQIElEFGYgqGIAUFs4ghGdiDJSUrIZXoW/VEIahcLvfoep9OMcaUsfuODXQeDUln1sBpmTHmOE43QqZkqhhCRtqVdCrCRy+XdVyqFNA/PjPz1u1WxrbrXwsCgWATMTAw0NbWduWVV57ujggEAoFAIBCcuQgBWnAuwsujFUulPaU40Qprr7AWhKW52DVpBAAhlkzTZIxVxIUkSfhUboSQoihElse0JjOaAYBRvXnVjeJ6MzQRo5RS7qTjc7o9z1NVdTOm4pqmqfqjY61v7J751+Pbwry286LF70zrFy+1vSwIgmQt9dm2bQBgjFEkERb7avt45+/GcRyUy9Dw3FjdygNApqUX5o6v1zUIsR1f8XF54yfpjx3ev7W0e81mCJicegnRSRqEWisD3Hnorqo2Ja1nuQbnMHm/k+w0kuWuZE3TSkx5ZhFfm6sRvgEAhBCege57zuXlfwaAfueX9+c+luaMlrCoRYsMI9/3KxvkptTNONwi2DjSNNUQ+01ZriMKz8QAMczFaJeRWoY9l+ARF5cTRGut8mhJvty2bRZw07TjOFdb2jxVtursYpT+13y9KfarwQB975D7uu64rbkAAJUYJYFAsHnhmWk8S00gEAgEAoFAUBMhQAvOLSilSZJQSgfGJibl7MmanUQBl4geY2mJ6PnYCbCs0xjHYRRFXBHWNE2SJIYQBkgYAgA303oie1TTiEd2VJYYhrEZk3BN04yiKJbat01/+zhWp0AwpC3BPgBo859dgpfVCX2uwFNKLMsa7PsAYyyKIhzHvGIeIcQwDEbX0PGLap9hmACQKzQV5d5cPHwcna9iynxx5uK3yKdEjeo+UK++IgCM56+VjdxS4bK+fbcPnf+hKIoopUYamP5oVUuKq2W40VDq1ynPQAcAXdcPBOp4SP4w/nq02Dpi3bRyd4wxXdf7pr6pMA8AxpXLtkRPYWApgMZiSinGWDcMYKxyksdxbJpmnTQPwTlIFIZZSS4laziL/RQ/VW5omOfJstyj4S6c8MGPIAiaNJgMlXT10OdGuGc0emU02dPZEcdxHMeEEFG1TCDYvJx33nnT09NRFAkNWiAQCAQCgWA1RDEcwbkCpTQIAq6jPTcyOankTmJ1YIZQQuQlyUDAdBobQTl2lni1QNXO2rbN05mLkjkjZyb0phPcnUSTprC03DdHKXVddzMGEbiumyRJi/OUEi8ex+oY0kOZVzNAAOBIbQ0awG3b5lXyHMdxHCeKIi6VAgCvj4dhDRU7MPsrj7Ur3z9i33Qcna/AAMZ6/jB/2e+cGi8kY0xKV/UOl7UtALBl8eGlwmVSaWh0+zv5hWNIrPf5v6NYrmrf7OztwtUq8K+Kyr5AM01T1ozHy9pkiF/1+J3ON345A101XyNX92TmAcCcfZXXfA0A5BcHzKXpKSmTAppCxgzTKIBlWbZt67oOAGmaSpIYRhW8QBzHlxv+dn3tUajG6dHS5anNQRBkknKXlr4kF12bjXu145x08l/T6NDQCH+cpmkYhmEYbsZ7uEAguOmmm+bn5/fu3bt2U4FAIBAIBIJzFSFAC85+KtIz/3dqeqaoZk76XlqjUncw1+nNYppIkkTtgqwoCGPlaJTwqFpwJD0gxzNru4rOqFhR8dI0ZYwtTyfYdNgKbS4+dHzrHur/SJf76L7cmwDASqYbFHDL5XK5XPY8b6XcEwSBLMsxXWM77Qu/wL/6U6e8BAAIobZLfsu96jOHWt7u4dx6X8LBzGu9q/+ipXvnelc8bhbnphEARbWlWzsYB4CDF30CaJJkemNixXEsy3JAyZ7+9z3X/4FDF/5J1SpXlH+5cjvTEblvUftNWb5oYc9b7vwjIwnnPv5V4xc/N0pP84pwVaRpWtJ2UcCz+iVqOA0A2+y9V6v39CbDLInbmXsp+/k2fK/v++VyOQgCPq4j4gsEVQRB0KefzCSip8pS1XQTHsdBvTIE5S2w9LJCo2VIq7h/Ud59YGj5ZrkMfYIdFggEp5iPf/zj+Xz+fe973/j4uBhGEggEAoFAIKiJ8I4JzloYY2maLg9kmF8sPh8gSmqIXwCgxH5L6o1r67AnI0YllraHxSM7UlVf0hfUTD527DQAAAowoeZTdNI0svZwUWHHaCuEEM/zNqn6bNs2YywB2N/9QQCwkpnOqR9h1pB7kQGKsbFt8Lb9uTf1l38OAAM97zspISRxHOcbyEeWWJjb/Zn4xr/iE+clWe7eeTnA5QcHD26b+Adct6AiA6BIHmj+nd6dl/SceI/XSb65jQGseZy7n//70fM/SNMUACrjN7Isdw59r6plR+kJzXpNwJaf56wT+y/+z9vNw89G2y4u/smXKKVhGOLFOe2b3zTeGQbqZSvDUmYLL8tNPC9J0pa5/2AAGnYBIGC5MHTCMKTmNRJLGYsAgDHGc1RM0xSCnWBDcVJ874L6EjslSVQ1x4IxxhjznfIr8mYpxb9Zktl6ahICoCddbem5wZde2FfJ32CM8QkZiqLgjY+DFwgEJ042m/3JT35yyy23XHXVVbfeeus73vGO3t7eOhN0NE0TkTsCgUAgEAjONYQALTgLYYzFcbxck51fLB7wWSqpsIoU3BPMjahN47LeyNZVGjclLqEJACCEKGO+rC9aGcRYe1js9md9JI2qBYYa0w4YwzQhNI0ldY1UEMZkmixvw73Pm7HwIIdriBV8sL2e9+8cvr2RdYe2/H6q5PHcc9tKP1WYP9L+Nic40Xn3PACaUhqxhu6NGNI0TSTpmFSKnv4dUd9nJ0cP2/OPmuGolr4QLRJhMyT52ZZXtm7pVxSl9wS7e7wghGZe8hfe3B4ACFO1a/xnACClnrYsBWX7c/9r4KKPAwCPpuWWLkJIBpYMt0bg9SVs9DHoAwACbFcwfsGPPictzfOnyr/7fwIA19TCa16t/+dd5ccGm29onSUdy09dQgimEQDsmPgKAEwr57ehEgDwXSOEKnHPlf4AgO/7lmVtxvRzwcbhOM5L8+j+xZMw3aTCQ2XjqqysJn7NKpqu60oAN2V1SZKeK5PJaB2DjgOxHjw39KoLe6vkZj7qI2z+AsGZz5/92Z/99V//NX/8uc997nOf+1z99nEci/wogUAgEAgE5xri24/grIIxliTJclUrCMPnZoqBatc/2Ue05vrbtdIgwlJztARJTCmVFCUGXEoRSiI3185bYaCTWh7qOuBwEmFGCaOYps0K2KqSy2Yxxo7rPuWuYYfZ4s8hfEwb13Uty6qScTc1cRyz+kcQgAEM9H+EP1bT4oK2I86dvwQ5SmsIQ+uCnzm+73f5+xpfpUqABgCEUGfPNujZBgBVk/NVgK4T7OUJMzO2b4v0GKrk0OS7AcCLDRdg1m22pvc0l/cggK17Pj+46wNMNk3TdBxHURRVVfPDP625zRdP/ON010e3jD/XffffIXasH5+x8lGBOLjwGvPfv6bOTbhaP/hHcrcNw8AYS2m5tfRAZaVAzgGUEiZhjC3L4qofIQRjnKYpxjgMQ15QNAxDVVWrLnzBOU7kOReYmb3uavf9NW8zNXisJGclcmUmXi1w3/d9SZIusvWLIL13fh1u6PFEv/vZ0Qua1YKuWqaxvI4Zr1IoSZKQqwQCgUAgEAgEAsHmRfyeEZwlrHQ9M8aGxifH5Syo9vFtEzNaiB2dRnEUKcoRM10EaMFsjrDMncgdwbwalRcUGwDqRW0wZvnFrU2ZjF0jIziO42dKCazQMZejuYsIMUoZQojP3Izj2DRNz1u1mtxmJI7jg70fyvgH22dqC50AsLfzfVKaJv7SBbP/NJe/vpi9znVdxk5UfeYkSWIYRlDKGel8I+3TJIFNVfR+ZuTJLvWZlcsN2QMAMzcCOZuxaya9LUlkU8lAAPx842rvSPst+dyFnSM/XLmF14zdNnC4s3TFK3OP/+fy5bg0B0QDAMuyEEJzn7gDYxzHsWEY5XLZtu2+qbuAxjKEAMAARrRrMjBzCHaFRWMHfbCg7R5OdqzcnSzLpmnyvrmuK0mSYRg8eMf3/ZNwpASbGcZYi0KhujpmhbWlYQvFDqu+J5cSfO+CerGFm0lc8zRLkiQIgljS15nFAXNUPTDnZzsyUEqBlpUk1CEtEJq1M5ZlJkmSJAnGuPJJJBAIzhze8pa3bN++vfH2Il1HIBAIBALBOYgQoAWbnrHxcQaQte0oiuYXFn0gJaKlWKKYgLLuinAAINOkOVqSGK1kXSiKMiVZCVHoilSNybUyo6U46JbS9pYmgs2aDSilj8/7tK76rKZRK0nTlFXmYjPGZFkOw/Asc30yxlzXZcb2oOsPACFEEy2YbJu/t9IgxHbH3M8K0eGZppcP9H3YcV12UuMXuKA5k7u+MD3QSPvS9JCx9aKT2IENZX52oqb6vJww1RfoNl/Kyd5YfvbBcu7SVLYAgFLKB3hKxtZ2RDCrPvEG2t+o3vkZ59b3B294HyqX5YF90WVXt/70zuw//mX64c87jsNjNExdD4JA0zRKqWVZAOxw7o3Gz74jz0yW3vrOvvSxXrYbAM5nT/9resP9cP4NUsnSjJWe0ziOGWOqqvJoDm4U5U+pqrpJg6F1XSeE8ON89l3dpxjpaAHYdiWdWk8mBicF/OZ+/f6R0nxarfk+68gKkm7Mk5oJSHEcQxzfXLAWYry7fMyN/apMpGDYXZa9tIY8PUV1bXpSbesATCLFiABKAOABuC6hCU4TmSUaSzVEt/Z0a+qmGvgSCM5qrrrqqquuuup09+LkwxjbLCVGNlFXa8K/4Wz2VwFHXwicRa9lo1/FRpYtXceW1zsvjFIGcKrf37PmMqmw2V9L5ezd1K8CNs+Nq3IJnO6OnBBCgBZsYhYWF58qRpToAADFBADDekoILsdM/ELiwrJP3/kUuWahO5wHxlKEI7JWQHMVlOaXJs/fvg1jo37D5w4P00xbnQaat9SCIwBYngR6dts8gyDwKNf6ZVXbUSCPyKkDAAxgsPNWSVKmkyQIAtiA5N8wDA3DAMXa1/WBnrm7zWB0jfb+pnGgM8ba0/+q/wWTAYzEV1NKEUJLqDlq6cvNPz6Xe1FFGPU8LwxDJ3dRZvHpqnXpY0+jKLTv/Bv35jdmHrgHAPQnHwwAWLaAEDJNEwBM0wTGeMKA/aMvF7svSrbtbPvJXf6l12ev72hPfwkAjtIzZ1zZVfqxia69Jk8xMhljhBBFUXjoeWWPmqbVTH9WFGXTCdCSJHFRvvKKdF0HgLP4Mt9oGGOdKrVY2GuTiyH1U/h1cR32YZ+RHw16b+ixEIJ7hoMEjg1oZujeBSUryaslcjiOowC8Im9GDD9wdL+PLSkSYjfmYwww6OM+nT5Skt1lYvRQYl4yNx42bzlmWwilRE6JHAPw283ElGN7I1fu2iZ8lAKBYINI0zSO42KxeLo7Uo+KUrC0tHR6e3JS8H2fF8zYvFQ+DSt1OzYv/Oza6EtA8X2t4cZpmjau3VDK1jH2vk5Fq1QqNVrr6GRzFlzslRtXqVQ6vT05cSilQRBsup9dVVRuXJ7nncm/vPhxFgK0QHAacBznicliohpA6hmH14AxQMhK/HzsUoQCkDSWTDM5NLKVJqP1s6FXbJGkSUuw2NfdJUkStNfIDajCD4Kl1dRnxkga54uDEdGmrZaWheclPccU2/f9JDnRantnOJUPZl3X20oPAU35yPyhvg/7jrMiV/lkkqZpuVxGCMmyPNH+pi2j3zSWVRFciWrUNrafgZQWZ1pXV59TJqVMClmGZ7zwz7aUUoqkrtEf6N7Y4AUf5XkvjLHxtlcutFzbd+Ary7eg33c3f6A9+bB36bXG0w8DAAJApYXIKWNNj+NYlWUYH4aWtmh0kL3pAxJC2nNPlPSWnZ37GYMJ6xVLUpfneeBBlP9vLw8PB6iPO68lSUrTVJaPud5rloMDAMdxTNM883/8YIwlSVJl+GsSAAAgAElEQVQUhY8nVYnpPFCYu7mX112soGnaZv+luqF4ntcDnq7rfEBlOiIXKM7eyOyU4plURgAxO3I9GJjJiJXS6p9SDNC/jURXWME7Lus9PDz64KIUHyNDo1KC7l1Q+zRpu5m6rlPzGyFCsE1PBvwjX7cShn6+oABATqIDvtSvJX1Z+lBRDumRzjwT2pcuTAaFjnqvDaGy2fTzsWJ2afqy83bIIh5aIBCcbBBCGGP1zJ5sEQQBv/EqioLWZRM58+Af+ps97j+OY/4jRZblzT5EGkURO+qZ2DjIet5xvJ6THKF1y8qNo6gK1Eme3BgYY0EQnAUXexiG/KfuGX6DbYQgCAghVT/QNh3Lb1yi9PdGs7k/5ATnIEvl8jOT84GWAXUNZ/FKcJoQBHbqU0CZNGCMLcTUybQ5kn5CfWJMif12FG1pbyOEAGTXXuXIemx3MQZ85DaHGJUjTwmXmsvP2/FUU3BguOsPUqvJADBLT4VaPlHsc2pKPkKoa+4nln8YABKsuWRdgwHHuUdCCHeeUkqN+Se0dA3jQ2vPeRvdq5NFaWG0dfU49MHoBq5mxnHZMIwoimzbJrHTOvGfhy7+ZP/e2zoGv8P6f5eLpEEQRFiZb7uxafpXlS0wfKREJpmfIfMzC+/574V/+jwAxO3d5rduj/7ok77vR1Fkd/fjg8+Rrec7rqsoCrr4SmN700GtJ6UoDMM0OuIodxzHgSaIjymwGYahaZpckOVhuDWH3LlR2rbtM7A+J9dDZVmmlMZxHEVRFK06oJIkCc+2BgBCSJIk/Ms3QsiyLErp5g0bOWVUjAydqqroSifEpRhdKB+p7DcWkEM+iRm8KJNoGB4pSc4KGfoJR3vqqcnX9pi/31vYNzT2WJGkx7qhhwIyFJALzEyHkniet1yG9n2fqWZFfV5OMcEAMBhIgysGEZ72zUuW5sLM2ne8Uqbt/vFSU1i6aGuPkKEFgjMKri9sXg2OD5Hy2UtnJoyxMAz5LZfP0zrdPTp+KKW+7yuKwr+Cbl48z+M6jqqqm71oAaU0TdONvgSoojQ+4R+t536C1uNQXq+iaxoG4FP9rSNN0yAINvvFvrxsla7rm/czAgB4KXheled09+WEcF2X37gURdG0xucknGr42bKpzxkQArRgE+G47tPjs76WAS2zrhUlmlhpQBE20lBhKQU0rWSLsgUAcCJf8xjTg6UuQ2puKhByPLfdPUOjOmNZfzzvHsjEk0Yy98K2AR3q+xAf4O0d/fp425siKQuUEkI2+02ncSzTsGYP88eYxrM9b9xQTysvkRfHcblcxhibpukWXnwge8l5Y19ZbZXRzI1tm+c7kEnqpYXw8n38+xB3OodhuN18Zqj9tdue/SwAmO7gcmXNNM1F49rlAnT4omv1h37OH9PObuux+/0Pf5r2bEMIQRhwRbtcLpfLZWjvBc8DgCiKkiQBc6vrug1Gbrmua5pmEAT1TwZKqeu6XLo9owp1EkIYYzWTQ2pS5XE2TdMwDEII19YJIZZlxXF81svQ/NaHMU6S5PjG4cIwjKJIluWMLDOGZVkul8s5gOsslcjKQY9MhfimQuyn8GhJrpijOQngfx+JW8dHX7ataVeP9vihsT2eUpWXuNeV9rrSRRZplZLKKUcpRYFzc8E86JHhYB3fuJ4pK5fghdAqrN0UoXktd/94sSN1L+jv2ey2IIFg88IYe/TRR3/wgx88/vjje/funZ2dBYCmpqYLLrjgyiuvfPOb33zddded7j4KBAKBQCAQnDaEAC3YBERR9JvhSVe11yk9s+aobNCIpzfMS9asnEnxCcuFjJneYl/ezmZsvEpdwQa2wZZ2//OLnN2rNRjo/QBCqHn+V7mlJ1OsJUoeA6RpmiRJHb/k2YRlWXJSnM9d2VR8/HDXuwx3wPOjjcs80jRtuReVUsoFPtte3TMMkNl18wb1Z2Ood/QoTQ3DCIKgEvASRRGysBbOD5z/UZDUNE2XT/0rl8tVE8eiV7+OC9Dhn98GLe1hFKVpaiBULpclSUqSuOapSylNkmRdBR+4J2XNZpIk8fDoxrd8CnAcx7Is0zSrrLINwteqiIxpmjqOgzG2LKu+mXpTY1kWL/eXJAnG2LZtSim3kKwWw1ITxtjKoxSGIYRhN8bnFUwAgMh/iRUFWH20VD2dcCZVvnNg6cX2/DW7ei+PoocPjA7E1R8BzzkyBumKDDFRws3XfLyhX9N2mvThYg2H9Wo8UyKX4mJgHFNKFzFaO3UR4UnJnhqe76LlXVv7G9yFQCA4WURR9Cd/8ie333571fL5+fkHHnjggQce+PznP/+ud73rS1/60pnsrhIIBAKBQCDYOIQALTijSdN096GhkpYDtZ4OWCEXu34ct+EkiiJFUaaU7Byy1z2tqBZK6GQTv29LhyLLCJ3QNBPGWPTI37REY6s1cNVuwJJdeia39CQAHG77Hf4CKKVnmpq2Qaiqml16qpS5jGEVAPT53eW2G9MNKDlYoWaWrmEY2wa/uNoqc/r5mc0TAA0AHfpQnWdb1ZG5uH+5JEoIwShpLj7pdL2clx+sWkVRlL27PibLctvYPZnicx1Lj/MWrKW9UpaN/62fWi5JUs2M49Xwfd8wjDV9zTwzunGv8SmjElh5HLblmuWPeelCPlf6zE++Pg6WDznwlHb+uBJFcuImd34MNU1TNZ2mCfKXbi7YDxZln1Z9fKDflJU9T46/9YLmmy7adk0Q3ndgaio9ZiSGAnpsSSEg31SQ0iTm9xZZlg+6pHH1me/rmUW4iHjRsryp7nABAIpEh6WFpUJX1acbw3gUZ8eGZruTpZ3bt63zGAgEguOEUvrud7/7W9/6Fv/3Va961Y033tjS0oIQmp2dffjhh++55x4AuPPOO4vF4ne/+91z5LucQCAQCAQCwXKEAC04Q6GU/mbPvlK2A/T8kUWMAULAGALYEi4AsDGtuT1c9LFSks3s/EiYa1+SdCqbIwBwIv4SxjBL8+UZ2zKbcrmjcWzrjpxeZduMPvgZu26y8GTnmy3nQNvCLwCAAUbakSMgSdIZqKZtBLIsN0881LrwKwAIsVm0L4pOeYqCrusIIbS6azjZ+oZT2Z8TZGJ8uG/1+71Ps/PJVs97IQcDIWQYGjAqsah/798MnPfhlWtxHTAMQ71waab43JR9RQa+zbJ5XraFb6SRvpXLZcuyGj+3Gwx3TtOUd8MwDIwxQugMiYT2PM+yrJMempEkSZIklmV5nrcuR/mZj+d5iqIoilJ1klTCTPjxXJcbeiU8OpxvjZ9jV1takSlPlaWqtI0AyF17F682yhfu3H7LJb2LxdK/Dnr02DYpoPsWFAzyywpyGPjlcrkT460F4+cL1dkd9boEaN9ctKNNptIRO/bI0bq4al7uCecr/+ZmB4stR4zPDOERJT8yPLcd+b3dXSKUQyDYaH74wx9+85vfxBj/3u/93he+8IXW1taqBqVS6WMf+9g3vvEN3vKd73ynuDAFAoFAIBCcawgBWnDGkabpswcPz+l5lGlrC4seVnQaSywmjEUMyRgSRJIjc5DZlHpEnC019ZzgflGaGInfKrHO9jaEELSvL2m6Qeae/MGWteraIRq3z/6EP97b/HsqAC9WthH9OTOJ4zglJkpKA/0fYYxCktJaDuWNQ5ZlCQPUjdu2DvwTa/rYZvkN6bul1apjpgyPxy/iBTEIIYqimLKro1KT9PjC86WFiz4Rx3G4uq/Wtu2WA98J5Zz9Pz/OEAo/85XIcQAAISTLcn3vc4UGm3F4uDMv0MePPy8nXaW68oQQwzDCMOT+2XXJ3BuHaZqVyngnHW7jRQht3C4q8Nh0Ho6xcfE4nCiK4jhe7R10HIcQYtt242HidXAcByFk23YQBHpSvrlg/rqoBNVWaHjUs597evy123L5XPZtO8h3DtboGAV034LSIkuX2onrOp7j3Fyw7l1YR9HzBPDQjNPbZjNyzBe2ECsV9RkAKuozAHRGi0kcSwDDRlN08KCdyXa0tzW+R4FAsF6+//3vA8BnP/vZj370o1KtcqDZbPbv//7vr7rqqve+973f//733/GOd2yWLw8CgUAgEAgEJwshQAvOIBhjQ+MThxPF9j3Q8h3RYoKlTOp7RF0kRoyrEzlPBJxEmFFCqQZpQWY52zbNDMCGiM4VJg7v6Ss/vGazbcNf5g/KxnbVbuKRr2eZpbE+lFIGMNXyW4wx3w+Or+bYekEISZKEMVYUGRgFRLYP3lanvRVPLjhLlr2KrHuGoZBVBzAIojKUQbYlSdJxcYvyGPd9DxS397n/EpQHGSaB3ev7vq7rjuMslxpt224du0cNZ2e7r6f/86VJ7gIEoKpqHMeEkDRNGxw4SdNUUZQGG3OhPE3TSvACQkhVVVmWed94YoOiKFWW5ziOJUlal9jdCJZlAQC/TpMkYYzVdzc7jqPruqZpJ27arUkQBDwVuhKEsnHwip2KovAigVEUpWm6QRcsY6zOy+HRHKqqSpJ04jkkjLEgCGaYscWkQeBfbcYhUh5ZUqqauUz63iGnT5698bzuncrMgaj2RJnZGN+7oFxkZVpI5DjOFRn0xIpNraSVhB4lLiM+I5PTxY72PGushsGEWgD1yMsAgPJSabq41NfRmstujpuVQLDpeOaZZ1pbW3//93+/pvrMIYS89a1v/au/+qt9+/Zt9J1ZIBAIBAKB4AxECNCCM4Xpmdl95RinKZLSpaZuAJjQmk7WxhGjiKZa5OUUXDB12zQJOTmRGo1DKe0e+6d1rTLd8mousZ0aBfYMwTRNSulI9x+Uy2U1jk/Ba8cYG4ZRWHjYKA5Odr7F8XzDMPqHv7rmimnowiYRoCNa74TvVZ+oWuIn+rZDdwHAluHvTHe8KrB6dV1fKWi6rjvT9boFYxu1umJkIEoppXEccx2wcRMuQqhxARoAwjBcbh/jcmElyJsnSq/8hR+GoWmauq5HUXSyEjBM06yqa8eDieM45kXzAECWZUJIHMeyLPNO8iNDCFFV9aRnccDRRGPTNPl7wRirvHdcuz8pe4miiAv6lZeAECKEbJzT3PO8+vHfYRjydzlN05rB7o0Tx3G7Ghx09YjZF2tx5DqvyBtDgTzgV6vAQ7E+/OzsDQVlqRRW5UEv5zlHIkCuyMp5qSHtKU/S11/Sy3vi+UEcheUonQI1ldYWr4+AEHdJa2n4RDExp4eu6N8iyydzKFcgEADA4cOHOzs729rWmGqQz+ez2eyzzz4rBGiBQCAQCATnIEKAFpx+wjB8bHQ2VAyQCZy8n8amu9BhaYVcVj46Tx9WyyA4JcyMDfawhqyXk/Y1bvPVjLE4jg3D4NPbJUk6QxJsNxruXuSu0o3Q5qrgIt2OoS8CwKG+D5Ud17Isxhiha4uniGwaKadv6y6Ye7yRlozBYHlb/4EjxZRCrXUhe0lQLnPTLgDwPGUAYIzp7khUHPft7VEYmSap+KN937fthgqHAgCvI8cYsyyLm6bXVEijKKoTo8z7UFPO5meXaZon5dTSdT0MwypLNQ8mlmWZx8dzM7jneaqqBkFgGAbvm6ZpGz2twXVdXuqKh5YAAE/M0HUdY9ygTdg0TYwxf18YY8vfGl7rdbkizBhLksRxnA3SoOuboCu4rss94Dwe5Lh3F4Zhv8KWQLt3Qb0uh4LAa2N+b8F8pCh59Jh8HgboVwuSjpAMNIZVo3tUAggYY3C5HT1ZXkNHfj4yrkkSSZJkWc7KMoDdDNDHmOf7B6fmHWsdA7QBUQHA1TL3Tyy1R8WLdoj6hALByYQQ0sjdibcRFQgFAoFAIBCcmwgBWnCaeWLvgaLZBMrJ8SMrgZONnf7uLlmWUWvXSdnmycKe+GmDLd2mq7iGxedyEkJ83z8Fia5nFCeuXmmaVnMyLLemKoqCEEIIbRv6MoaEAR7o++Oy49iWtW3obxE0pAyamcIJdvKUQQiJqSTjNYZA/ESPnh/c6j/C/53pfPVS04skxizL6nv+S1LsMIQRSwEQAlbSeidabtglP7OP9lJKy+WyruuEEP7erVlasBKasbwNQsgwDC5w11mXv3frOgLLcV3Xtu1KpcQwDNebsc49zhjj1QI94jjmcRyVJdyQy7VaVVVPTRo1D6aAo8o7p1JqLwiC+oEkKzXcqveUu79XvtGO4/D3l1IahiEv6QlHxwYaKZPIzwTf96ta+r7fSM+5B3z5CXl8RFGkQXRzwb53QelSyU498pzyFYYiKerPF6oVZJ+toSt5KXqkpFxqx60KI8DStaoRHjw8eP7OHcuXIIRMw7hsq8EYm5qZHQ/SQF/PwCpCU2p+anhuK3W29vetY0WBQLA6O3bsGB8fn5yc7Oqq981zfn5+cXGxv79fBEALBAKBQCA4BxECtOD0wBg7MDg0KmXBal679epbQYwakZdjYU/XFkIIgAFQXXz8TIAxlg2HGm2NEE1T4JXZGGWAdF33PO+cCuI4ERRFybCF7rGv838P9X8EWNo59a96MIYAPL1X80fxMomZInmg9/2O43DT7mDPu7eOfPX/Z+/M4+Sq6rT/O+fuW/W+pNN7Zw8EAgmGHQEFZVFQFNHBeRUVGBSZGUXUeWf86IiCo6Kj+KqM4og6jrKDgsguEAIEQtZOOr3ve9fdt/P+cZJKpbqqujvpTjrp8/3kj6p7z7333Fu3Tqee89znF/AJIZwggGgg8mR6jNNLjykf04j0rorgT3kaRAQnW8fKnTb6lgAKBKNg8JWyvmcAwOcSuKp8BNcUiGMYAgSQAD4pSy34A/5+gc9xHEmSqD5I7dJ58DxPEIQMHy4hxLZtQoggCNQFn1U91DTtMB8ISN+c9hkAoiia/kxPGIaCIORJhMjjhjsC1v4poaX2aIRI1ihqwzAmX2TTNFVVpS74/PH0NA2Dvs4Ib6HXbfLydDRNo5NwdEKCEBLHseM41GQtiuJ0srxTUvt0JO88mGbywmL9+TGx15PPLeYcy/R9/4IircfndlgzfgziraRwguZP5wn8zba6MscqhNCiivJFAAAwPDLSbXpJUZ9mSDQgvJdLdOztPaXMSBj69HrNYDBycvLJJ2/ZsuVrX/vaz372szzNvv3tb3d0dFxxxRU4b4ljBoPBYDAYjOMSJkAzjgJj4+Obh+xImHEgBoojPgrEOCxGoabKxYWFGGOA6T7pfxSJokianqmWQn+cKIoSRSHHiwAwD4sQzkU9t8OEFqOrGn+uILktRjwmIQDUdN+3t/xDuxMXq5VqU9uPVKc9fZOA09trP2kmk5IkhWHI83yIpD0NNwNAQ9vdHMlpjJWXvmuuT2d2KSou7+g4uVZ6M1eDtp7ypvEHU28RkMXtf4gBDyZOGi9YsiT6W4fxHuz2DyoXJOLOgrClWz7ftu0oOkggprKjIAjU4UWlw1xHjKJociQxbR8EQRAEuq5Tq7LjOAghQRCoVfkw430zSEmlVJClQmf+TWgYxZFxMc8dNBua6u/0k6LOYlmWBUHINeM1WXCf0s2XcQ/QDxcAqLhMr3ZqiON5XhT3mYtpoEdqOXVSI4RmdOVN0xRFke6TZpQfQu1H0zTPNJTdrvT0iHiyYRixY1lWIULvKtFfn+BHgpnJSVst8cJi/7UJfizMt6FDuB0tbSub6vPvraS4uKQYACCZTHaPW6NYnk5OdMhLr476emfzqUsbWDA0g3E4XH311ffee+/Pf/7z4eHhm2++ed26dZqmpdY6jvPmm2/+6Ec/uu+++wDgmmuuYQ5oBmM6RH2d7p/ug+n9AkKqrlz5KSQpc92r4xWkzcjCxYLsGQzGocAEaMYRJQiCza1dE3IBCDkrNaWD4kjyrDIJ66KQMHRBONKVA2cLjHGExDxqZjpUiDEMg5YRAwBqCJ3bLs4QWjVu/sRSi6IoSVLB+OYgKBwsvbCv6J1U3Kzr/4Ps9VWPPjVQekFESE/F5dX9D6S28oXijuq/oyZcKkEahhGGYRAEsix7fKEaDGQ9nMcl9GOk/GA6lbUndXWSavGtyavakw1Nvb9NvQ2x3Fe8QdBxEeopR2Pl8NoYX+87ZmSciDHus0v6USlYVq55kZTGRxOE4zimvuaMZtQxLUkS1TRFUQyCINVMlmXqkMUYS5Lk+77jOBzHqaoax/FcTH5Q/zV1Q+cnDMNZrOZ3dEm3KsuyLMsyQmhGX+1DLqhFP3c6uAmCwPM8Qsi27aymcqqMH5ron14oEiFEU7An53vkx3GcBiEsk5TNE8ISBVeJdhzHYwFapkYGH746zo/nVZMzeGpEeIdqbQynuNk2J4VcJujJGIaxwjAAIIqiiWTS8oJB78A96gtKPCm23tRLn+uZqEPO0tr5FVrFYBxDXHTRRXfccccXv/jFBx544IEHHkAI1dfXr1+/HmP8+uuv79mzJzVIfvnLX77yyiuPbm8ZjGMFMjHqv/wETO//WqigWL7s75kAfYggAHd4hhswGAzGjGECNOPI0dza3oE0kLPIdigOVddE8T5FSRGFYkU2NEWW1WPC4DwlGOPexR+s7vrNdBrX9dzXXvVRGqFLbYnz0GhJ7aiSJCGEZteOOlM4jlNlUfKHPFIxIK8KgoDs184kSTLVJtnrM6xmw2pO34oAtNZeH3NShtBG3xqGEQVuoFRCDgE6qdQn5uZ05prympOHJxqkib/qwkEnXr73Cfqiu+h0OcGVcJ010AoAEYgd8sUeVxSGkQ6DFiEw7VpwsD96mOYtZMXzPJ7ndV2nkm4cx4qi0LwFz/PoUaglGWPM8zytyTnNAnqHwPS11ONDfc6Alkl0XVfX9Tz5GLNLyo88ZTKJZVmKohxmID411AMAzfeYUTpHEARKFK1L6K9NCLaorlB9PvZ3OMqgj9YmQp0Lnxud2nq8H9QaqsVCnN897RDOtCw9zU05HTiOKyosLALIEJV937ccp3MkaYtqKOwPyUGoHdTulp41xUpxUdGMDsRgMAAAIXTzzTcbhvG1r32tr6+PENLa2tra2prepqys7Ktf/eqnPvUpZn9mMBgMBoOxMGECNONIkEwmNw1ZMXdASuZ9R3Mnig2ttKiQ5ziOUwGOUUFvuuiDL0/ZZlhe2lF4ti7rJApSRdLmofoMAFQWp/q4YRiWZcmyTBNaAeDwa39NCVXn4zjmiR8hbjjUSWACAEKI6piqqmpuV+no37JuHnBGzElZdUz645AT5MTE1lxHtyrOPXbvVyNRAIkrTc/r63izVmsRuWBXf0MN2tNSfWWd8HY16km1JAA7hcsFLJhJEwBcZBCSPe84P/mDODJsrclkkuO4dH8xtduLokifCaBBK5PFSlVV6VYY4ymL1OVhXxJL3s09z5tcoO84IKU7p6oIzqvxh85MCIJwCBkak6H5HpIk8TyfPhRwHEdnQbKOD3EcK5HDI77H5/p9+dxi/0Q9eCspvD4x44dUBnwswdT3z9bu0Q3LZiZA54J+j4oKCgAgjmPP99t6+pOC4kt6KMhvJEnBYOv6ZQ2zciwGY0EhiuL1119/zTXX3HPPPb/85S8ty/J9nxAiSZKqqh/96Ec//elPF7EJHgaDwWAwGAsYJkAz5pxt27b5YVS0v2hSQQF1QKsAJUe5Z0eWUCyEbPY+AmDzpc3Fl42WNAJAjTtkJpMAoGk8xnjunJ6zAlUVk8kkz/O2bSOEdF0PgiBV+2vu1CvTNKkGPW4FAPvUKFoezbCaTX05ELI4LW2DAIqB5yAAgNHE2l5jg5fmfeY4jmpbkGbXRTliuwmgiqraOTqvI4YoSbVL3wHwDtP3m4b/U6jWlsDrGW0QQF30tx7hPFmWXdc9ZD9sHpVWEITJDno6f0ALzVG10XVdqjjTO0qWZapE0/a0Gp7rujQg2Pd96qo+hNuP7nY6sjK9A2dUt/CYIPUp02gOOplEL++syL6HCZX+BUGgkw30mwuHMVHneZ7v+ynlXZKk1OxarlsoCILVWviWKUSAnh6RSoV4bSLscNAuO48GTbI+r+oB16hEe518xQN3W+gdhMy6axJjrMjyysa69IW2Dbv37i0pLCwuLp7dwzEYC4FEInHLLbd87nOfcxyH/tFUFIWOoke7awwGg8FgMBhHGSZAM+YQQojneU1NTUe7I/MCxe3OWOJhY3vpB8ZKmlKqXkFouftTbgkh8ydheUqoXTQjLYQqdHOhQdNLFIYhQohGDNPlNDrW5WuNMFnf+V+p9h2LPxZyamPHT+lbny8yyGgxjPhCIeHkCPg4LV6c1pfjchepH9LXFhxHJexFUcwT5abHvcvs3wLATvlKTpCt3LnPuaA55rS4H8aYasSpbA3aJsNurGlaSu6cLE9rmpY1UZqiqmoQBGEY+r4/U6ssTZ+YvqmZ3ts8z0tSdjf9Mcfk72xKXj9kTX/WST17AQCiKNJwZ1o48RDuT9g/cNEoalqlMLXQMIys43AxF3CIjwgCgKEA7zTxEtmvKY5fnRAmsiVBf2x1yZ929A3HWQI6ulzEQRxBziHFB66tp79hceVMz+sQUFWVzsDRrw/LCmAwDgGO43Rdn045AQaDwWAwGIyFw/GjoTDmG0EQTBnouaCwV32aviAAg/KKV6o/97flXxxNU5/lyDN8KwxDKq3OB6Hn8KGZCXhW5VpN0xRFiffD83x6hUZRFBVFKR980pEW0SURlmS3u6HjZ0NFZw3IqwCgYuTpmp7fVQ49WdP7+83DgotUIDEA1Hb+cl+8MSF1XfdmPToB4Fe8bxZPZz7QJ542ZZvl/gN11kMz/TQVRXFd17Isy7IcxwnDMIoi3/dN0/R9H2Ocq+JcHuE4f6CHbduKovA87/s+x3Gp3vI8L8tyrq1gf26MoqiGMbPc+TAMXdfV0lJ6VVWVZRljLIri7N78cwTVSkRRFATB8zxJylIklg5Kuq7z/NGfuk7dAKnSgq7r0kcxDln0CfaTvpB68Cc3dhxnQ8GBWZNOj99oyoSQkyTz3CJfQAfdn0U4KEgkrn7Hsg80qQbOjHbxCd5QOMWcxzMDJDyyYS80hIYhe8UAACAASURBVP04S5hhMBgMBoPBYDAYR4tj4Icx45gjjuMZuQgXCKIkhUjcU3DR801febvho7ZRdtDaOCgPktREmUwmj6eH+h3HyapnzRRZlg3DUFWVXhzbtj3Pc103w+Xq+z4Xmj2LPsBFNgBESOBir3B88+66m8YKTy13t6fvc1yse2tMEIlXNvR0Y9uPxHBct/dgjKtGnxbC8azd2Fv2AU073mxNhbXrpwzXQEB4cHDsTt9hSpXK9KHA933XdUVRVFWVytC6rlPvKuw3tufXf6eTj2HbNr3lgiBQFIX2hKqrk29FWolO1/XE6487QYTQoYQ50OBpQRAEQSguLl6+fPmqVavq6+tXrFhRUVEx/22kvu/bth0EAT2RPHOH1CksitMvtXeEoDcVDdCY6RRCHhzHyWUExoFTJx+4Fe0IPzsmSZJEAu+84uCCYh/Bvm/VaCx09Q0AQGV5+d+d1vTuKp7bH+8jQwQAzlRfKQKoq39oNk5oZtCJ5CNTi5LBYDAYDAaDwWAcxxx9HxPjOIP9WM2FLCsvLPsywVlyAPk4qvTHj1fDOA1eOJw90Fhey7JoGkN6DgDGOMOxiDHGJIgA2qs/jhACQhb1P9xVdilGSJ/YlrHnQr+9RgmXdP08taRy4PE8PRmX6mtWnXE45zKvGB8dSRQW0RJ/e+DspfBC/vYY4kbnwTblIitSU87TPCiKEoYhzUjRdT1lJqWZzrQN/SipYkiTxGVZpj5Wmsm779AY8zxPI3qnIxDTu4JG2UiSJGJU/tCdA1d+Ce+Hhn5omib3t5T8+W4u9IeXn7XDkdbywaGNYMlkUtf10tLSkpJ96fa03lRlZeX4+HhWl/f8wfd9TdPoBZ9yIHIcR9O0IDjECzUX0Dh40zTnoku2bWfNHgmCYIkWtLsHhvSIoObxsN6Qwhg2TfAXlgTPjwpejADgoVbrk4WuLMsIoaV11U018Stbd222FBe4Wilos6ceId8Y9OurZvfMpgW9JXienw/OdwZjPkAIeemll+jrM888EwDa2tq6uzNj1vJwxhlnzP+JSQaDwWAwGIzZhf2cYMwacRxPR5NasLzWOUjkbM5ZQhZ5I8njInAjF7Sm3CFocDzPK4qSnsGq63r6flRVzRCGVFV1okiIPDkYdKVKyR/trXwfRxNdE6th+Kn0xjZXcoG8A6YX3hsiSTrtH2Z6CvOWgTcerB57lgDESOgrPIMvWRNYkpC1UGYaCGIj7vb4ldP5stMPjoqDtm0LghDHca6s5FT6gSAIyX11ODVa+06WZVrrT9f1aT4cEMexIAhhGDqOI8ty8XP/LQ53Lf75Z4kgx6IclFT3n/9Juquyx36ISBxj/tHVH4sDfMiiAK3Ul1KfU2CMj7/yU5ZlzZM8aAoNi5g7QTxXnL1t2ys1fofFA8BqYbzK2TMsNAzbsShKtXL0l2FhqRrttul/tNB/be698fQGuiHG+Iw1K98RRY++0VyrcADRi2NT3CSjsTCRTCZmz9w9I2h4zqw8y8JgHOsQQs455xz6MBAddu6+++477rhj+nsIgoDN6DAYDAaDwVhosP/9MGaB6ZjmFjKEkM3t3Z5aPHkVIqTaHZo/Os4cQaXDGW1Cs4bjOE6pzwghTdOyXita105RFIxxFEVBEDhhKMsVgeNHUjEHwAcTdV33Ish80P1x/v0ftO6ZTn9iwNa6ryjHQp7vlDi2ZbzyL9UQAwAC4EiwePQ5GH0OAGKAPu1UU6mp498SwMUoi6JXGmwZFU+Y0RHph5g1OkPXdc63fDNJTdCEkFRBwpRU7Xke1YWnX9YyiiLqoZYkSRjsUPe+AQCIEOQ7Q+/6lFXW4DoOPUTXJ+8qf+wHw2dfs06w9oTaoVmVaeeXLVuWvpAQQoNiAIDjuKynT+9qAHAc5+jGFrmuOyNNmRCSXv/zKCJJElX/52gGlGaOZ1W3CSElwr4rsC0oKOWUd3T8EABal91Yt+eni1fcXNLxCC68aHdcFAMigFq3vd6w+tT0PZyzpLKvf6DTm9YUxYN7kteuPToCNAAQQmjk0fE3ocJgzJTKysr00c8wjMrKI1EmlMFgMBgMBuPYhQnQjMOFGZ/zQwjZ3N5jZ1OfhTiscEfMHIbQBQstFocQos/4U8+dIAhRFE1WxxBChmEI/rDs9dlxfQBKysEaBIEkSVJsFg5vLLR2TD6Qz+krxb6pLL8AADHggRO+WKxqUzed9zi2pb/yf/EkLZ6CABZZr4P1OtBqmcrKpFxTIvVpMMKjfbpwDFwURbIsp2I08kBzM/K3KXvpZ0OvDDj/9DVRFKnIZRgGlfzo1AJ9QceZaWrQhBDTNGVZ9n1fKKsxFy3Xe3fRVaVP/ERdsn7sjKuStkN3CJd8LgzDBM+fAoFpHqIKnK4++77f19dXVla2e/duKitPTqGhujMNwgYAmjrieV6e6otzAcdxtDZjHMf06zbN2UTLsmjZRkJIFEW0Iuic2pBT0Kxt190XR0799XN3OHp96FCT/jTGvrX4wPk+j1aW66tKze0NzT/uWHIdQmiw7oomf+Tc1jsGjDWmUF6369HBnhMKzrlJlCQAwBgPDg6WlZYsKyqKt7S0uAJAPgN+AJg+EDAHZzld6JMKkiSxAAHGggUhtGXLlvQlt9xyyw033DD9PbBZHAaDwWAwGAsQJkAzDgvf9+eDA24+83pHn6sWTV6uhm6hO2YdR8UG80DV5CmbiaIoiqJt2ynra0rMShfFqO8ylUna0P6T7kUfHFWWO44jigHGWJIkRUCJ8TfL+zfmOdzz0uUXJH87Za98pCRP+qfigiwf4jEHIQS/8WMOpqWxIoBSZ0eps0+7bys4r17dCQAWVxVF0TRlyjAMaRnAnEdBSDb7Yt8XX3+JrDsTCwIhJCOpAyEky3LKb0sN9UEQ0ICOPCdLXb3yC4+i118fql8ZL1tZvvVJHPr6zr9h37E2fFiWZXm0p+J3twGAVdH0yNlfPLNQp4XXpnN26T1Mf0vv5NHRUUVRaLDy5HGSZhan3oZhaJomx3G6rvu+f8Rm9ah3+ND81xlxKBhjWunRdd2UjX0uoJ87HQE4jpssCs8uGGPf93Nlv3iep3OCGWEAIID+aHzwA+T3pdbO2j0/B4D+xZcOa8ubl9ykB0P1nQ8AQElya/z4Tb0n/+OihpV0fCsuLsYYX7x22fDI6BO7h0ZjIU9nuvsHmupqZ/8kZwhLhWYsZCanLWmaRucUGQwGg8FgMBi5YD8eGIcIMz5PSRRFr/eO+UrB5FUFoa3YY86CyS1RVTVX8i8FY6yqquM4UzpbRVGknuhBrIrW8Or+/2mtu96yrDh2FEUpH3+Zj+2EuXPKLoVILOQ8BFO4Nbv0M0vXvt84LpI3AGC47e0qfwaFktKpG3+2Wbh8mfCqjxMz+u4TQmgABY1hCcMwXTV2XTcWVfXS09z77oX/vde+/SeGYZimqShKSvLLCECgXniEkK7rWQVoapoGAIxx4q5/5saGAEBp2xEO98YFHI4jAJA7txWcOGS8+py251W6ldbf4sToqRGphBfWJoQZqcBxHI+OjtKqg5SSkpKWlpY88y5ZJVp6ahjjjBqMcwc9TVqB8DB3Fcex53lUmjQMI4qilEl5dvF9n2bBH5m/QZZliaKYfkOmE0VRIU9SvvkY0JuF777Q2jcEVXQ/KiXa+qreMxTp43WfkEW+pP/ZouFNFZvvaPa+CJgTRTG1q5Lioo+cVri7veuvvWGcwwo95ERNs3x+hwhNhRZFkVmhGQwGg8FgMBgMxpQcJ6oK4wgTBAFTn/MzOjb2yqDji1m8n2XemJgcXjip2Qih/OZKWZYlSTJNM38zVVVp0m4fUjqkEmWi+9S+n5r6CqpZ67re1HNv8cQbk9XnPfU3jSZOzVi4Sbl0rflInsMlxaqBE75QdsoVk8MTjlEIIeVt9+VvE6N87sslQw+bpMjiqmckjJqmKUmSrus1T93e8OiXGp++PaEcEN3CMOx89/8VJWHRu+q8Dedq3/4yAIiiGMdxetSA67oZ/jKqSuu6LstyuhNT13We5+ndgjEGfOBJZz45Ntb0DvoaB17lQ3em1GcAiESVvhgO8VMj0hZ3Bo420zS7u7s7OjpSSwRBWL58eVFRUS55znVdVVWzrorjmErwR6zmm+d5uTpzCIRhmEwmbdtWVTVdYJ1FTNMURXEW+5wf3/cn34GUOI5XaAfNJXTHB8U0F05sre38H0EQgiBIWk67sWHnii/sWX0rvTMrKysxxj09PbQxQmhZfc2nT6tdLWcPFSkS55HaS8s/HN3scgaDwWAwGAwGg3FMwBzQjJnB6g1OCSGktbOrRy7JOr9T6w6ZpnkEjI3zh8mVAzMKEtq2nd8miRDSdL1TLgUAkAEA9OTAyYO/AoBObrmuaWVDTxcObM21+ZK2/8xYQgBZ2OCIPyI1FXkt6MByAEA92vrEie+Xjpj4d6QIfE8iOb+8BNCeps9nJMwiBEWjm2yl1pMrKnsfkd0eNDbuasUAOY3qqqrSSIfUZ6ooConDuj9/DcfR9rP+aeWL/1Hz56+1XPQ1al4mhCRN02q4QF192ZJHv9Q5PCh85oPud++VVBUhJAgCDVjIleORurU4jpMkiUY/AwC1HnMc1+0v8jfuwCesxhe8U1zeiCEq2vMyEJIu4xEAQChQDACSCuEdC/FfR+XzizGHgBAypR/Z87wMOzZCqLq62vf90dHRrJvkn9uwbZtaiScfd9bLllI7tqqqsxumTGXiXN7hwySXIjxH0JKSWfPHgyDgkRjuv6ds4IeUpaXO7lQDxerQsTOGBDprkroakiS1t7cVFBRmKOkcx523dtXpnnff5k6HHPT/tGWN9bN+aodJEARhGB534yWDwWAwGAwGg8GYTZgAzZgBYRjOabLncQAhZGtrx7heNnkVInG1O5ycbeVonqNpWoakJQjClIpzOhhjXk90SgfCDXDondp1N329dui/YGjGvUJALjTv7TVOLznlgwGA53mEEJpgCwBZPry5hBAS+B4AQhgLQj4D8mFiT4zoOVa11V2XDIXQNGGSuJnkV0IAEJimcT5KIADQEOJ5PutQYOh6o/1HDvwIST3q2Q4uQwhVuH9LRO1tTe8OKhafJD7Vd8HViRcek0PbTZuiieM4CIJI1Cre0zTwyA7tts8EH7wWnfNuAKBl8TiOo8ELlmVREZBqzSlBMIqiyeIp9/JG569PA0C8dVu8dVsoSeu+ey53fhMAWHzpiLrawToiUeP4UxyECsAnkj9+qeBDO+PSlAz99Ih4UZkZRYIkSSmfda50Dtd1gyDI+BAbGxubm5uzTjtZlpW/6B+1Ek9erqrqjJynmqYhhOI4dhyH3up0efrXMAxDWZZFUZzdp1t836f1FWc9UYTjuCM8G0qrHcqyTD/i1EcjCEJ40IwGvFly6YVd30u9HVz07lAs0gSS8eXyPM/3fYRwsOsJ/cyPZkQqS5L0iQ1Ldu9te7o/Duf382o0b51VJmQsWFpaWtKfgMkDQqigoKChoaGgoIB9XxgMBoPBYCwomADNmBaEEN/3F5Rv99DYsrczaWQTMAlZ7AyZh52yemyhaVq6EzZVSm5GabOqpqWrzwCwpOcvHBzuRIiPtcKTrqCvj4p3jxAyNtwjTrxcxPfJ+3+EOpE6LJxRWrV8Ln6XehODuVYFYUTIFH8OUkHMyWSSSophGAqCQB2dVAzliTUWl2MIi3BfjftU+ub1NT0APePC0qS4FlX3REqBTg7S4zzP67rwtrrHvypcd3X4k19L9/3USxTFDUvFgkJRFKlUF0WRpmnJZFLTtCAIMMb5i1vi+roDbwoLy795PRfvT3wOh7SJ5zLaS7H1ztFfnIm1lxMf3E7KAVAZ9koSAUKB7fITFqG3LsaYdoDn+XRDaxAELS0tS5YsyVASly1b1tvba1mW4zjp8i4hRBCEdBVV0zTP86ac56MyqCzLeb5KqecMXNdNFTyUZZlK+YQQhBAN8MUYY4xpg7mYYqT1FakITnXwKIqiKIrjmB49iqKsdRrzw/P8EQ5/0DSNXjcAeHpYOLtA4TgOAbwxkTlvtDtKnIdlPt7niC/vfdIqWDHm7DvBVDlNVVUr+54w2rdjEpCHn+s99bZFdUszdrW0sb6pPn5hW8tWk6/lc5bcnA+wyoSMBctPf/rTO+64Y0abLFu27EMf+tBnPvOZ6urqOeoVg8FgMBgMxryC/U5gTA2rNzhN9nR0J43SrKuqvNHDr/F1DCGKoiiK1OksiiLHcRzHBUEw0yfxDcPoEwszFo4rtdXWxsPpno8Nd/2tMsdN3XRuGB7sTVh/reTG4GDlSuHs6vgpq/3VJLeCYDnERlFp9WzZojk5lwEaSkdeGF58eVazbVaopAgANHRC0zSMMSEkRKi4/zUCqL9iQwVuzdgqBq4Hr408z8NSxTPfG1p+kb5oZboGbbp+93m3VL54d/DhM7qHioTf3cONDgFAvHSl9M9fD4IgFQ9C84UBIM8dJYpi+Pa+YBbh6itPOttKqc/5EWPr3LF7N3CJ7caFiYJCAA4AVDkUhSgMJc/z4ji2LIvnedu2EUKSJFEHNwBYlrVnz57JGvSiRYsAYNeuXb7vi6IoCAIdEFzXTdnJqRDMcZwsyxmlGifjum5GlE0GcRxTSziVO2kdyIx9psv39NrKsjy7KRwpMgZAhBDHcQDg+z4dHxRFoR7trJvT6SuO41IVJl3XPfJP5NDe8jwfAXp2PF8C9d8WX39u5/dTb43Rt/3i9RzHAYnKev8yVHm+HyHP8yCOMQkAAAGpeP2bw7tWKGf+g6od9MlijM89cenaZFKY99ourUzI4jgYCw06dKdPiWGM6WRVxuwaHffiOG5ubv7GN75x5513trS0VFVVMTc0g8FgMBiM4575/mOGcdQJgoCVGJoOg0PDfVKmVEpRQzdwFpD6DACiKFLPI/WHHvIEBiGk0h/rkA+S9cfVw7ILOVxh/I5bZWFOaqNNh+7Wtxv55yC3+q1xExq8CjFADNAH42FpXHGZqh5u3K1WVJlrleF3DwNQUzPP8yntcpqktEVD1wEAASkc3BKVF3LooKEDQ0R/ohs1vLynr+b1ewGg9ZJvOu6+NIk4jkeRHlz8r8RztGRvmdE6uPh9wa/+gFp2lf7sVvSx/2vadhzHhmF4nmfbNiEkw2WfQtd1hBB532VRZWnj4s5E0AuTnt/oK7vY0hpxHCAShnyiruMeITqghkvRxNqx+2EMwnZpQqoZKj2zskJUFS7lV6bqJ43FVxRFFEXaE6pB19XVTc6tFkXRMAxVVWn4Bs/zqUQRVVWDIKBzANQTrWla/lkrum3WPBB6+vT1ND9N13Wps3vKlrMCISQlH1NDNFXDaUlJ+swNzTOhEw8Y4zlSxqcJlfupAF3xx/+4pKRm06kfGYhzKq3bw4JzEYL9jw0VjG6W7N7+uitigiYK1zTs+D4CmChYPVhzacH426mtisyd5ImbO5qurT3p3IwdJgzD9/2Z+sSPPCyOg7EAueWWW04//fRrr73W87yPf/zjZ5xxRkNDQ2FhIUJobGysra1t06ZN99xzDwD89Kc/XbVqVU9Pz4svvnjnnXd6nveRj3zkqaeemqN6rQwGg8FgMBjzh3mdKsg46riuy9TnabLH5yDr721Civ2JBZidTfMBqEp4CJvrum4YBkIogsyrGvOH/jttb9El+MyvCkdPfe5p3dzIZyY/5KeAHyoc+sX43kcPMwNHVlQAGBdrWgrfs63kQ+3KWRN+cTARReMeHhn1PM80Tdd1TdNECB3Cc/S6rje0/pi+FmOrxTsFAGLg+ppF+8U9u8z1MWAa+1CEevac8Q+0Zf1jX1ZlMaVVEUKSpmUGsVPahKOgsv3Z6vPKJ776HcEel5/5H1UUYf8zGfRqWJZFdV5N01LiqWEYcRwnk0nTNPV3bDCC/oyuJrVlzfWf64XFE5Y35sSjLk6aZmvNJ/Y0ft6RMmV6nnjF7p5lXffKm3/t+5GqqqqqZojLNIRElmXaB8/zOjs7JycU19TUAMDixYubmpo4jqNF7YIgQAh5npch2NGMkTwXnKZgT/6k6EQCtRJP34uqqirHcdN3wc8R9A60LCuKIlEUadiL7/tHUX02DINeUnrLRVE0fOUtJduev+hXN1zx/HcLUc7ZtZcW35h6LfhjRnJn3bbvIoRCwRiqOB9IVDC2ZcnW2zO2QhBXt/zSfeizyeRExqpjSKLyPC9/PA6DcTzhed4111yj6/pLL7109913X3vttWefffaJJ554wgknnHXWWR/72MfuuuuuTZs2lZaWfuITnzAM473vfe83v/nNzZs3FxYWvvDCC52dnUf7DBgMBoPBYDDmHCZAM7JDTUxHuxfHDDvbu6KsqighNe7QggrfoFApc/rtaRatbhhU65EUpVMujQDFAN1ySUZjX9RmKsQSgJ6Cs92z76xec/5R9OX193Y08H87hA0RgnKhLW7/1WFq0MOkLjGws7HtD6taflHb+4Rhd/Kxi0mISMTtDyShQb3TnzKhEmGByi9t+R4XH5Bcl44+0uKsGX1roqRrk+Bbja/+fGKbDx1vIYS853cufelH+w4HUP/YV8qTbQlFTM+UME2z9b3/PnDKNUDiVW/8qOeyT/X/5EEIAtpD2kYURUVRqKhNZztUVdV1PY7j1IUyLXtH9fV7Gj+/p+FzLXXXd1deOZY4qb3g/MnfSsuykslke8UHd9V9tq3m7z2xLAYuRpwrlUdYihHXv+j9QUhs27ZtOwgCXdc1TTMMg5qaeZ6nOTO6rsuynEwm9+7dm/Et4Hl+8eLFAwMDPM8vXbpU0zTTNAVB0DRNUZSMrBXf9xVFMfZ/KXJdf6pi02Y0gde2bdd1qVVcFEVd16cjQ4dhOK8UQzrN4DiOaZpH1/YbxzEd0FLxIEnX673xBwjA6Nh6+X9ff9bEFjTZYA/wVlQSoYM+U4F4S7Z9u2HXf06Urms54baWVf+c66BiZGp/uXn3K4/Pf8tzLmjkCysdwVgIfOc734nj+Le//e3atWtz/R9j5cqV999/vyzLX//61+n3YtWqVddddx0A3HvvvUe0uwwGg8FgMBhHAyZAM7IQRdFk7x4jF7s6uoeU4snLORJVO4PpEbeMrNAUXU3TEEAMYHNyn14JCHXLJV1ytkxthHx8kB4XA+ovPMs641vdpe/1uET6Kocv7S8+19zwzdKT35/fTzrX2JZZEz58OHtQuSTu+NnwQMehaTp2cqx4fPuUzWRZnv5NK0lS3cTzS1u+19h69+S1jWNPcuEBBXbw1Gvi6hOTyWTru/81oyXftaX6ia8rAzt1XU99TJZl9ScaWy+5fXT5uxu2/R4qKojnAYBpmrqu67pOA15M06TByroq83EgJAdoXTsASGhytb+1Mvkq540AwpYXD0RFrdK6PEqr4zi2bY+63M6i9zfX3tBcc8POgst3VP6f5pobhnw1FXZBU7ARQtRnHcdxGIbJZNL3fdM06QW0bXvv3r0ZF5MGazQ3Nw8PDyOEBEEw95NLE99n5c6tQZumSZvRyoRxHCuKQjOy6ba0eKNhGJO31TRNlmVJkhZ40L+hKlSvn7wqJSelPw/kRrG18nT6uvHh73/0dzdU4ckebfTnqs9mLgICANr4ziiKIuDalt1IJj3kkaKp53+jh64f7N5L3x6Ln5HneUyDZhz3vPDCC6WlpevWrcvf7IQTTqipqdm4cSOdWMIY33jjjQDwyCOPHIleMhgMBoPBYBxVWAY0I5NjImVy/tDc0TUoZ1GfhTgsd4atoxpaeqyg67qJJQ/zFp+ZmZsLjyuQYhMAYsD9ZRcVLD23SBAAoGz1BQAXWEHgeS7GnCzLHMZFc9j3GRD1/wUddjVBEftV3sO9LQ3FSy6Z8cYbf5ZrzXjZqSl354y+/gpyE8lteRr0N53f+Mav6Gt5tG1QqoA0RS9Fcd9bAFDx6i+Hll9sSGpfyWoqWlFrfH/tmVbVGr16Wyrlhiq/9LVhGDRSuWjLw7w5NLH0XNwzDItWSpIURtFY8QbV3BNJxaZpzkgISy+IFwRBVs2a7pA+L2Jki+h1HKelpUVRlMbGxlRWhiAIo6OjM+0P1aDzzw1QPzUA8DxP2yOEMMZhGCqKkl7fj8r3vu9jjBfgIxqTiX2n/tF/c8qX9p55XfqFMgwjayyJKIrajpdTb3HoX/irm/rXX/b8issccuB/Vv2x6vKFcjiWsXlZ75PmsmWmZdmI81d9cVH3o8Z49u8RR4KSjV/vLzil6OxPx/ExqeR6nke9+Ue7IwzGXLFr166KiopUmdxcCIIgCEJzc3Nq8K+rqwOAt99+O+92DAaDwWAwGMcDzAHNOAj64PbR7sUxQ09v30A29RkACkPr6JbMmv/QzAeMsY+4EdGYvvpcONI+Ljf2Lb1h7NR/C8+9s2TVhfzB2QWCIOi6oarq0bU8p+PYVqnQPVt7WyS1jrc+NtOtCpO7c60aLz/g25p+zqyu6w3tP09fMlR8picUt9V9MrWkOngt9bry5Z9RESrXE8oIoGzXn4u3P6YrMv0lL4pi/aO3VW+/35WLFrnN1ubNuq6LopjuRRXGugvDcQAYX3qu2redcyf8qlWAkGmatm0nk8l+UpFMJufChuk4jq7r1GtMq25ObiOKYl1dXfopL168mEZ2zPRwuQ6RThAEqVBsQgjtnq7rlmWlYlU0TfN937IsmpQ9024cfyiKUrLtzwCgDOzmuQODBkIo620jCELWsaVi0yPnjL989fKCk4zAQIEE0d/1f3ey+gwAfGg17ryLfkaWZbWXvbuz4e/y9DBGfBgew/UYwjBkj1UxjmNoVdUpk8foXGb6qEL/NEypXDMYDAaDwWAcBzBDCmMfNHDzaPfiWIIQshdneaSdIscBi97IBc/zVEOkyQCdYuH0ty23h5atWAmwcu66NxeM920vzGF/HvIXlYq9M91hGd86NDGWSEz30nmel8d+tnrbpQAAIABJREFU7YolENoAoGnaNKegeJ5f3Ht/hASO7LMG72m6JQjDUCyq6H+cAKJRA6m1FEmSpkyXxqFX//hXhldd0ltxCgJAQPTut6p8Vx7euwK6u9E7JUlKl01NpXTx5t8q/btwFAAADpyaB29rv/zfc6mHswhNB0YI0bKHcRyrqkpnnjRNS2XgUh/3gRPEuK6urqenh2ZJz+iINPHZdd1cl1FVVerIpqkagiDQIofpbRBCdLRnNWYpYuQara/se4P2KcuqqnJxkNjyKKy5FADSr7kkSZU/uGHyfpK1qxsm/trbVn7WKRedBeDYlvDnnNOQXOzWtfyiY8knTNMMgmAYFfqr/qlp+39kb7304vkznXZo0NuSCW2M45KVK1du375906ZN55xzTp5m27Zt6+joWLp0aWpMHh0dBYDGxsYj0UsGg7HQKKoHAPq/F4Qxl+c/EpgDL7NkN4PBYMw6x/bvGcZsEYYhU59nyhud/ZDDyFnujVss+jkHuq4risJxnOd5uq53SCVk2lUByyd6l9XXzmn35ohitDPr8mGy1BAmDmGHCCAc2TL99mNDOf9b2bL2Sym3PvVjTmeHoiiqdnu6vlzR/2ee5yv6HlXc3lRNthgO0r1pFsR06kCWbH9M07SkabZd+i0AUAd3IUJizNXe/wU42Kbt+/7Qhr+3q0/efem/E4SL37wfEGCMpzQLzxaapiWTSYwxlXppPrVlWbSco+d5k1VmVVXjOJ5ObcAMCCE0hSNrJDTV3B3HCYKARmPTT5OmQqdqFR7SWR6f0BspEg/cKtrejYZhcBzn2HbU3VzY/Cze86rx6P8re/5/qLUcAEzT7PvsjzN2RQDKmlwAqGz5Lf2xp6iadcH38hxd8gaatv8HddATQiYsr3X5TVlblm36RjifSkQeMqwsIeO45Mwzz3Rd99prr924cWPWO5wQ8tZbb1111VUTExPr169PzSc9++yzAHDGGWccyd4yGIwFAQKY6ISJTt7u5e1ezuymb7P/M3uOdncZDMaCgAnQDPA8b0pPIiMDy7YdOZF1FR+HyJ1ZuusCIb0wGgBIicJOpSyXiJ8BjsPVgr9sSdPcdnHOULjsRsgStFtCBwm+AVHcSPVI9rsrnWLUPP0OYI7LtSpGXEqUdBwnpbLlx7btvfXXA8Bo0bqWxs8CgGHuWNryvYyPs0dem/5W5JA20VX/yK35d07LsikDuya5PhECUnf/P1fs/muqz1TGHVnzvsqNv2p//7cRAI4CvfUV5JlHRmy1bVuW5WQyKQgCFZ2pRhxFkSAImqZx2S4+x3FNTU15SgvmgZZAVFXVMIz0S0RNprqup+d7+L4fBIFlWalahaZ5hK7M/EcUxfLhXfqr/5taUvL67yEKVVVd9ed/00dazZKmmjd/H/OCsfMVPjrgJU+aZtdNPxr86L/EvAgAgV7Uf9X1mAQAgAC6XnucNjMKCofPuj1PmUFMgvKBZ1J3SMhnvx8wxNwzXzk+ArI8zzs+ToTBSHHLLbfU1dW1t7efffbZn/rUp37zm988//zzW7Zs2bJly4svvvi73/3uc5/73IYNG1paWhYvXvzlL3+ZjiRBENx1110AcOmllx7tM2AwGAwGg8GYc1gEx0JnysQ6Rla6RydAyCkRsl/Xk9E0jSplQRBgjJNYHhWnJ72RuMSbWFGzaDq22fkLyaNBHWA3uRwAAMcqDC2GV/I35lEw/YkjxOdMdhaDiVDaF+WhaVr+MncHjs7zUjAEAEWjr3liRcbaCDhHKBvQT2ocf6pjzfuqtjxMPdH1j3811w5jxGESAcBAzenjFScsfe1nbsUKlZD6R7+UasMF+6rDeUXVNNqCBl9Q3Xz4rOsWPXMXANgFi82GDbC/SOBcE8cxFXwzzOO+79OQ36y3Ln3m2jCMaV7wyVDfuiiKgiCkDk0t0pPLFfI8nz7RSJ8/QAjZtr2Qgzhc11UEqbhjY/rCmge/AoQAQFnL83QJLtYBQHrpEXLeVakLa9u2LSX8G76fGN5c0fNEweDjB/bQeX+0/r0cxwNAWXll72n/Wv7qv2UdAAhAwfDrgxXn00/QNM32JdfV7fn55JZSmOx4/aHK9VfMwmkfbXzf5zhOEA67KiuDMT9oaGh49tlnzz777K6urnvuueeee+4RBIH+XQjDMPUQTFlZ2ZNPPrls2TL61nXdD3/4w+973/vOO++8o9VzBoPBYDAYjCMGE6AXLoQQVhTo0IjjeJDL+XR/InRoofM4jtkVTkE1uDAMCSGqqnYKU8cjSJ5ZK+PyshKEDsUlOq+YlvwMsAQ9HIAqwrTKV6ZiLqaDpuW8hnVv/3DvKftEXs/zFEVxHGeKQyOUiIcW9+7zjVb2H6iIOKSuDLBWYb+pRwP6+F8AoC561VmzYtipKuzZMlJ+MhkzIYqw7xbsfFlYvkjwJgDArD5lvPFswoulb/6vKEliaXXbZd/2PK9oaEdqz6Gocda+uBJn8RqlfxcqXxZGEf2R73kez/N953++8pm7BHtcGmxxC6uRIGGMj8CEkG3bHMdNVnJpEEdfX19VVVXGKvqNKC0tHRwcpNIwjYqmNurp68K+7/u+T2Ntoiiinx31OKeSslVV9X0/XZWmWwHAZKl6QRGG4VBBg/PB74jjvb6o1/7pGyiOUBwO164v6diUalbc8WrPhsuV3r0eQpIk0YFdEASO48IwHNRXOSuX1u/4z/Q9t736p6bTL6OvF1XXBZuEjDx0ykTxWktvLB14zjFOozdqhMT0aPV0agefHBw9p6CoZBavwNEiiqJDS6FhMOYn9fX1mzdvvueeex5++OFXXnmF1hukqxBC69atu/zyy6+77rrKysrUJoZh3HjjjUepvwwGg8FgMBhHGiZAL1CiKJpp8StGir29AySH/RnFUYA4jeNs22YpHOmEYUiFQkEUu6Xi7MkbhCzjPVWWMMaSKHKceqR7OWd0h2vqxdenbIYA0tVnH7R2coFERmrxi9maz+AGyx+sQdC+BABJkqYjR8qyXNt2f/qSfu0kKRxPBD2l7q4sR4/GqsWx5oYLqx68O3250+0KpRBx4tCaK0zHJzGZWPvxOI6JG5SNdRUNNidanks1HqrZULHzSfq65sHbOt9/O807hv1lLTmEpN7tfe+8uejN+ytfuHt86bkTy96pqtP1dB8OdFol64EIIePj44sWZbfwi6Ioy7JpmpqmOY6TmrUSBEFRFDphM515rNScQdb5A4RQGIZhGGqalmHTtm17OlMOxzH7YrU5AyLouOJbtQ98GcVB8pQrnTXvKd14nzzYQpvJaKK8YaJw2w9blnzaMAxqbHcch04ejIWoZc1tVXt+pdjdtH191x/j+JJUQApBHBysKUdY4OIgMbJ5sOpiHPupaRIH5PGSdcVDL2ftbWLTnfDub83FdTjypKplHttPtzAY+yktLb311ltvvfVWy7JaW1tbW1sJIXV1dY2NjSz1iMFgMBgMBoMJ0AsRqkQc7V4cwwzgnFoeQbggMIMwZCkc6aiqSkNOMcd1SiW5cp9PKxJE8QgVjjvCFFWdBENTC9AZiGAtQQ/nEmciMrMH2AMsC3GOyB20TyYLwzC/ZRhjXCj4pYOPAkQAsLvokqbxJwHicuftKTWkpeT5trM/oO7dijUjSpTorz0hjg2M8dVCbWHdn/5tdMVFY41nU3kUY6z2vJlIs6ACgC8dmPXBcVDz0G2AcMdl3zBNk8rrJa/c65Yvk7b+afTEy121RIz9pBuo4r7SfFNfoJmDMVYUxff9MAxpDEhWJde27e3btwuCIMtybW1mFc2SkpI4jhFC6ZeduueoMEf9y1MO2qIoUg+1qqqu69K9ybIsCAI1O7uumxJBMMaqqlIVldqu2ZQkAFi2PXDu9RXP/BAL4rjrJdd/XFNVQAgFbs2DXxktW1ZYNLxi53/0DtSYdScscZ5oXvVPGGN6eZOm2Vp7daHfW7X3NwDQcuIX5Zf+WHvWVXTPMRbh4G8fFwd7l94Yi8aSrbeHnDZY/yn6Efu+31t0OheaBWNvT+6hFI6373lz0ZKT5/xaHCk8z2MaNOM4Q9O0E0444YQTTjjaHWEwGAwGg8GYR7AihAuO6QgZjDz4vh9z+YS/KIpY8kYGNKzWD6OuXFUHCXlHsSiKOXOKj3VkRe301xzChi4pGiUNWVd5ZGYO8Y76q7IfQlsMcWhoiqHrajisK1LWonkUTVXrOn6hWXsBYHvp1UvH/4QhwkDoh0oAxYi3pUW2tChGPACEnLq74eaOqo/safx8xGsF9erEVbd0nXP12OmXmxsu6fv8T6SRnkHjRESi4h2PNz52W4HM6boex/HImg9kHBrFB0VS4CjAoYcAqKu3YOuftJ6tJW/+cWL1RQRz1pKzeXNo8dt/RAjpum4YxuEoXOnbSpKk74cemsaa01mWXEdxXTeZTA4PDzc3N6cLzYSQgoICjuNyuacJIbZtY4zzlyvUdT0IAlpm0LZtKivruu55XrqHmtZLxBjTsG/HcahiLknSpHqPCxFCyJBU0nrlHVSOj+M4aZrJZDJAfOdlX9MHm8eHC2IsVpV3LnH/giD2HEuSpNTjBb7vD+GyjuWfJgBNb99R1ftYStaPcZa/GnV7fwkIh4LeuuKz6X+Xfd/vqbgowtnHw9rm/3ecxXbTu/Ro94LBYDAYDAaDwWDMIcwBvbBgP/MOn729A6AU51orx8xFmB3XdZNGWfZ1hKxRYoE/zoej8qZzelv9RfzOGW2loFEFRrOucqF4RhZozGVXGGWru+mN2+nrgaozKuy39iz5RxofjDE2FB7FPgACAMXtK239bwDYW3jRIuu1VSO/B4CANxypypfKbKXW4UviOKalTWkqse/7vmmaoEKQ3FZydSqnwnEcdNoliBAUx2H9qs6EWrPjjwBQ/vyP+Mjv3/BJuXVL5qVI9k7uvPbmQ1gvwkvPHT/hPUrXZtEeBUDhYKcqCTEv2avPQs5ELOkIY0PmCK/Q8+I4rs56cSJxss2X0NmRfZdClrV41BPL+DDpYw1jTI3Jvu9TkyYteEj1XEmSUsNpFEV0z/kjleM4TiaTO3bsoJkhvu/TzI08ij+FRjbTsoFxHGfEaMB+qTr1NoqiVDfS+xNFEc/zmqbRF1EUcRxHe04/r4WcB50i/ZZQFEWM3EWP/Ktb1gQA2vBeM6hSF6tCZANAwm6LjJPStfs4jsdAEeo/uKjtDwhg7K/fLb34VgDI+oeXi+yigReaGz4T2Jmx767r9tVesbjtfyZvhQBGO3eU1h9X5kqa4c4f738FGAsEQsjo6KhlWZIklZeXH+3uMBgMBoPBYMwL2P/1FxBMfT58CCFDUkGeBmX+uOnmSDlYqAiCAACyLA9w2etNKe5EomLRke3U0aG44cLuwRM18/lCvv/w9+aqp2SESjqO0zE8noyxx4mAkBR6JTypqyyjAplcOMXPYAJQbr8FAJq5x8KLNFWt7H1Y721JbxMicUA/qXHiLwAQI6619tNuCDSCAHwA/4CONjmMIiPZw/f98pcfBIDqe/+FYM5bVSu5o7I77EsFpG934Z6/ZGxe0vM6gcxijqWtLwKAkBwYOeUqyR4BgLoHvgAAvef8gx9GFc//OEZ8/9ILwhXn6q2bCsS9XbUf93xfkqSCvu0Fye0AsKfhs5btAoAoiovGnuPdYS3onTBOaFNP1zQtVccvI6GCOp33nXgaeYI4UriThohpGlqpOqwoyuRQken7u6Mo8n0/5YlOnRft8+SQ6AUOQkhrfj5QC7XebXSJOtHTt/jiGtgEAA39j5P+x3et+kJ6hkkcx2NKfZFSKTt9RckdnZufSjScagTDANBdd7UxvjUxtjW1f8Xq9NW1Wf80J+VaR61W7K7Jq8p2/TKovp3nZxbCM8+hHnCmQTOOXUzT/PWvf/3oo48+88wzdB7rggsueOqpp1IN7rvvvjfeeGP9+vUf/vCHWewMg8FgMBiMhQZ75HZBQEv9MPX58CGEAM7nVWTRz5ORJEmW5TwNavXswvRxSWlZhdJwlV11Q5+fPVhjmoREKCuvTL3t6u7Z2DX82gQZEBKOpMe8GHOCI+ldnPFSv9U/OAQARlnNFPvkVEuo7JTW229t01SFkNgLyZ5g3W73VAAgAC42fKGg3H47RnzXoqta6m+asP3JIux0TyEM/aom+hrF0XDVOgAIBG1s9SWyosS80LX80vT2iMQxlz2UwGjbWHv/F5KlS1JLFj3/o9KOjWZx48CSd8oCDwgSe57rI8vjod1qx2tL9n4/1XJJ6w9rnU2N5rNLun8xBiVqONCnnRJvb6FVAXN1nhCSVSmLoogQommaJM3VXe04jqoeSF9RVdUwDHuShTYXCKE8aRu0miITAVNwHKd2vS2aQ+kLK3f8ubdoA32NAFZsv1OI7PQ6n57ntTde66qLAaC07UHj6X+ky8s7H0pXn2PEy3aPpmUPvnccp7X6w/2LL528Sogs96W7j7+/6WEYHvJ4wmAcXYaGhtatW3fDDTc89thjjuNkfa4lkUh897vf/d3vfnfku8dgMBgMBoNx1GE/Mo9/0gNAGXMNy1HNQNO0MAypCTo7JC4tLsqzB8uy+kcnIq0A6LWNIsEcqa+dQkud53AcV9R0Sf9If3HyQQEfSmxLr3QZ9TOblvX2WBDyhblaEsw1x6rV1t5QV+sJhVIwlrXZhFrb94tXcfdzAABXXm1ZtqZpI7f9gmYH7KqqRhjD+NiyW9cNFZ81pJ/sOA4cdlzDcPUq4ZQL9Teemli2PhKVXuWk5IlnLHvtJ3Rt9e7HXL18tGLNopZ9DrJIkLkouz6FgAiR337ldzhnTG/diEe6jMHmxOCuxOCujvfdXnf/FwCgqGUjEKJMdHec+eFa629jUp0UTRDgZKcrFApiXsEFNXvLPtvUepc/0j8QRfnj8vPEPQMAzV8+5CuTnziOVVWlcfMIoZRNezrQ2oYcx2W1XVMhm04apRKoZ63fxyDIdyRzYPJyPjrostS2/a5r1Q3pSxzH6V7yd01bvuXxhVKwz1QuxE53zQdcvZ4PJwKxxPW8PBMV+0JREssruh+dvLbY3NGy/ZWa1acfylnNY2gozdzN3zAYc8HExMSFF164a9eugoKCm266ac2aNaIoXnnllRnNVq9eXVJS0tPTQwvAHpWuMhgMBoPBYBwtmAB9/MPU51mE/WCYEVREmJATxZHTJ2VXmWvDCYSyV1cbHR0dwgriZSiSD1x3XgilquYxd0lCPNbl/sLiiqjo013dbYuip2WcL7Qhg/GguLymCgBMy9qcBOCnLt7YrZTVhGHytFsq/vav6cuTam1X4Znof//Abfzjgat52ZXED0zTNH79IBASA3AIEQCIoj0YHC8I80ZMTB9CiLPmHP2Np4zmTcaeN1AcOSeuTW8g24OVrX8dqVqrjrbLzohTUC2623PtTRrtAEIipXB0xbtc16XV9mrv/0LNQ1+mDdTxLhrioe7ZCovA4xKFfgcAtFd/PBD2KfhNrXchABz56ni3LeSbGsnvP53rscJxHISQYRiTAz2mxPd9wzDyyNY0lprmTfM8v5Dr1hKO95Ui0cnMYS8yd6W/lcKxdEEfIaQoCgEEADHifM4Qo31X204sNU0TQALfhEnRLik0TaPjW0ByjnJN7b/qKWsoTXsS4viAzpozDZpxDPGDH/zgrbfeWrp06ZNPPllfXw8AAwNZJq4qKirKysp6e3uPv8cXGAwGg8FgMKaECdDHM8z7POvkj3Yt9SdYCa8UNHYDY4wQ7pRLs7bBUVC7uGry8iiK9gyMcomiXBoeFoTdPQPLFlcc61MCCKGq6gaAT3oA/R1v1qIXp9zEiTSp4SMAEEXRmxMR4OkO45v7xtdWlO76TTeaGMd2Kud3kwB/PKidpgdon+aVnHQ/67oehrOjPgOApmkRNgAAAZA4dt57UWP7AyEv8+EBURUBFPe9CQAtaz/e2PsQtzgRImG4ZK2lVodIVMa6F21/HAGhLese+MLu02+oaf5TUFAVe442sIuuSt8bAOhDe8bqT6tw9oUhBHzCdV1RFMtHnkMABKDr5A8Yra/yqy7Jo73mkg4pc5rG47oux3FhGM7I+5zO5M7TyoRBEERRJAgCxpiOZnT5gpVLQoKGN3ys8rm7UXzQndBTcnbt4IFoV08o0ke38WUnUYM5zTAhhLRXXFzm7hbNJACM6CsL7JYM4zlNU3EchxAiCIIsy7SMJ0IICNEmdjpyvnz8Ra9/PXjPj2bxfOcJNDcsf3YTgzF/eO655zRN+81vfkPV51zIsixJUmdn54IdURkMBoPBYCxkmAB93BLHMctSnHW6+vpBr8i1lieRYhhxFC3wh9YBQFEUX1SHxAQmcYxyOPgIWSpkkfBs2+4OOS6Rz3wKAFxRmed5x5NCUVF78kBrTzm/N08bKypANR/BCBFC3ugaIrKRp3EGnqB0fehSbiiLLSsd9O0fztHElaZp6V8NWZaLHv+ZsvsNACAA5uVXVAxtBACxEIe4aKhkXYjl9JqDRfZuLg4AgCdBxdCrAK/S5W59zXhcWdqx7+3Sl+8GAHm4LU9PuMhzuQPVRJe0/dDnC8RwnL7tU9c2jL04unitIAiSJGUtyocQEkUx1xiLMZ5T17Asy4czvFN3c/oSjHEQBL7v8zyvqqrneam5NMuyJEkSBGFhzq45juNIJc77/l02Byv/+n28X4ZW9m6HtC+fHIyWDjy/V1okJsqB1tMba68ZfJpgvnf5/2nc9h1MgmJzx+7VX3JMEwB4nscYU6G/uP+5sZLTkl5MxWuFJys77nG1WmN8OwHoKLkgT/cQibtad1U3LJ/DS3D0YBo041hh69atJSUlJ554Yv5mHMdhjPNbGRgMBoPBYDCOV47tB9gZuSCEMPV5LsiTZayFDkcIADiCmquo1EKA53nDMPrVsiExAQA51WeAImuorDTTGe37fnfIIW5ac2PtnV2H09V5SEHDe7vi07Jao2KCutB5XN3HOI4HANtx3JmozwAACJGS7Fb0A5z3LlfNd/dmDQ6eDlSTTfcFi4hIHTtjRQeA4YuvoeozhY+9ysG/Vff/tbrvwL/S0bey7lkOxiqinSMnnGsV1k2/P+XOtvS3KfU5Blw2/iYAJItOojEXk7elKm0eQZYmV0y/MzMFY3zIH4RhGJIkZXQvjmNBEBRFCcPQtu2MnXueR7XRQ+/xMY7jOKOc3nnF7bGwr9JgYe/bHfz69DY7aj6+rP1XDW99Kx7cleh5jo8c1R/EsV/Z8YCrLg45DQAQQrIsa5qmKIogCHEch2HYZayPOJlaoTHGdf+fvfOOk6uq+//33F5ndrbXbLKbkJBAEhIIoTcLSPGxYXkUFR4FQf2J4iNKtVAUeSyIqFQVEUVAAalSEoFIgIT0vpts721ub+f3x91MJrMzszPbstmc92v/2Ln33HvPvffc9jnf8/nu+DXraergVgBAAIrZ3FDyoSx1K9/zyGTt9jRgDA4zBMLU093dTdM0x41ihxUGPh/u7mEEAoFAIBAIY4O8A81Awhw+h7oWMxMus6ikM2IHX9AsFPdxqkexoihOZcWmAwghSY0MRCtauJhPpcn/noyk9y+qS5ULgyDYp3s5qs8AgLgZGBxXUrvCqLyilTq705kNAHEv2mQvaucvMisvL6k+JiECbu0aynfNlOfQOzIaKENBIbr/UfOzl2V3lvA8b2xCZBAEKV/dlo+7Lv9pz6e/CwBlVnpxOXdK+tdH5P7eY8/qqz4+e8nGpZ/t9av2ohNxuidgm3Acg20AsLliRVFGhqqJokhRVNqw6GRc15284E3LssZ8h3FdN613h67rWURz27aPwHtaCpquN1/0A39/x0/F1udbqaWJuUsbf0UHDgVBVe+/C83GOZ3PAgBGtDK0XdL3ts75TK+yMAgCmqZFs1UY3BXtW2+apmma4XClmj0PqYrs+74pz0reaJGxs6772QAy3lFZf4ZHpluWRfwKCNOcwsLCIAhSnp4jn5WmaVqWVVFRcST35xEIBAKBQDhiIRYcMxAS+zx5tHh0Zh0Ayuz+Nr6w1BkaYOUoAjiSRllSFCXISqtQlEthyRg4bnYa6+ddPUO0nEdU70xVJRiGKa5aCLDQwpgFKEv3pWqJkXxXG2nemXHeXQ84iprLrQMhNObDTtMHXTyO4ziOw4uRzktumrP7vrGtM4XSvncBwK2twIBcRm4tOUvp2RMwvB6tpk1dXf+a0NtW8eSvAUBu2jbE8t3nfa5C2CV7PeHie5XTKzY/u+3YzyzoexIAEEIpscCKohiGkYu/c2hnwfP8ZHQHjjn8GQAsy1IUJe25zm4b4rquJElHuL+QpuvN599Y888f0FYcAEq3v9wxe2Up30DhA2dEsrv2LPkeANRvuDXRyTFkB+7sD+vxOADoUKBEFAtAATAMo9LcEheOwRQzd8uPXTbCuGkEZQoynnHGNwZ1TZLTp3KdGcwwtyXCzGPBggUbN25sbGycPz+bH87u3btbW1uXLVuWlwCNMXZd17IsXdfDMQFFRUWRSLZ3AIzx4ODg0NAQxlhV1Wg0mvL8JRAIBAKBQJh6iAA9oyBZByeVIAhcPps7QZtQJPtWHyt5FFviDB05/QCKolhekJP6jHGR0Xv0nFkj53R0dtLKaAYRKTgzfHR2pm/UjAIoxsVuvIdVw4VTZorPPp5mEQD4ya80jofcOq5c183ifZwdTdMURUlxrrBtmyuq3FN4g9r9Hu3bg+UrqjbfyxmdOX6dBxTbPedCrWiRGG+s2P5nhH0AYD0dADhPO6r50aG1vbRjpjUUp1y77Kn7AoA4QPv5X2ILuZr3/ooAjlp/n8vKeC52HCchuCOEZFnWNE2W5VHDn0M8zxMEYZIMkcbcDaCqaqb6m6Y58gQlCF04aJoej/w9A9B1vfn8G2uf+F+EMQAU7f2Pi2hzyfICY0+iTP2GW8N/JLtr59zLi3rXRDmsWYaqqgBgmqamaYIgIAjUaE2DAAAgAElEQVRkWfZdpW77L8LyrJttZENH1UXlrU+lTEQA/Ju34/f9cGbHVBI/aMJ0Zvny5f/+979vvvnmP/3pT4mxPimXpOu6X/va14aGhpYsWZL71YoxvvPOO1taWgzDiMfj4d37y1/+8gUXXJBpEV3X77rrrl27dvX392OMo9FoTU3NN7/5zVhslNQaBAKBQCAQCJMKseCYORDnjcmmvXOU7G0AoNMCqw8Vtu9ACFRVVRRF3s8U1HCKoShKkiRJjTQLxd1qxtyMB8r77nzGSqs+A0BcLEi/WJBR7ZozOw/P35lEb19fplks+JI5MFJ9BoD0EvNHP2XEcopbD8EYh/nTcl8kGc/z0sZhaZrWLs5tURbFNX1n3WcbVtzQV3Wmy0VHlkymff5ndy29poOv1TStG5XsWvYdSz4osh4DUG5Od8WKf95b/Me7u8tXhD8DhkcI8TwvyzJCKPRHHkMWPk3TfN9XFGXCTT/DQOaxLZslglvTNJ7n07ptcByXadaRhq7rTR+7Y2jeaeFPCvvye2t3Fn04GPFO5dLSguNWRk67EgWOrO+t3XE38h1RFBFClmVxFMzZemdh1+oct1ve+pRNpxkjIrq9fWsfnakjQhIQP2jCtOXKK6+MRCKPPvroxz72sbVr16a0VdM0X3/99XPPPXf16tWxWOzqq6/Oq7uopaXFtu2ysrKlS5cWFY3yvDYM4/bbb3/zzTdpmj755JNPOeWUgoKCDRs23HjjjUf4+BUCgUAgEAiHHBIBPUMgWQenAMMwQB3F90DUepfcc4VZv6T1rEuS4wQ5jst98P7hgizLXaxq0XwuhUvtwaNqKjLNjWsaotMJWxgz8V4vWppmThBkyQk5s9EME3gpzQyE2rkYpEuDpA51xD/x+cLXX01d4pxzc2yTLMvSNI0xRgiNuRmHYYw0TSfuV5IkpfScBUGgaZoWPU6uPLX+7VsQpJfVBipO7uXK/aTvfNM0WxddxjhDZbseY5whxtX6YksEnEemSnHVK+6iUtYzPF4N7XpDQRZjnPh0t21bVVXTNLMbViTwfV/TNFEUQ/Pl3CszKoZhMAyT7zqze3wDQHg6VFVN8Yl2HIfjOCIChjiO03bUB4zqJWWv/RrhAADmrHnAUErso44u0rYlirlsVATQ44NVjX9G4COA2p33NC74Ok3Tnuf5FEcHDp3Ps5v3U827Qyp6VzdvKilb/L5x7tc0h8RBE6Ync+fOfeGFF0477bS///3v//znPzmOO/roo33f3759+9lnn/3WW285juN5HsMwjz/++KxZ6bvhM/HjH/+Y2s8tt9zS29ubqSTG+Pe///2GDRtisdjPf/7zsL/Qtu3vfe97u3fvvuWWW2655Zbx7iqBQCAQCATCWCER0DOBMPZZ1/W+/oHO7u6J1TgICUbNby7Gu5f8+goAMOqXJSbKskxRlOM4mqYxDKMoSqbIlzDKMmT6f2MrqtrMF+aiPgvm0DIVZVGfAaB3IMPAc4TSqs8AwA52zewh51mIKPkF1At6/6BaFq+YkzrjqKNtafRVMQwjimIQBJZlhbeavLaegmVZiUtJlmXLsjJ1num6bsSOyrSeeMnSkV4QmqYNONSe+v/eufDKfUu/PkBV5VU32ja78DwMoFUdT1FUqLPbth3WkOd5RVEYhonH4xjj8GeOjdA0TZ7Pqasmd4IgyGudLMtKkgQAWZINhmQy4giNI/Kq5Iwk7PqSJMkpntP88TsCZvgs8Fp3ZN3rzfyJARo+wrRvAEBhcan3obs6Yyu7CpYzviEN7hQEgWEYTdO6y87Od+sj46xDaloeb9v+1hh36fCB5CQkTEMQQitWrHjiiScWL17suq6u6++88w4AtLa2vvrqq4ZheJ43b968P//5z2eccUZery7hWJywA3jUBW3b3rx5M8MwN910kyRJCCGEkCAI1113HU3TmzZtam9vH9d+EggEAoFAIIwDEgF92NPR2bUr7jgMjykagAPgdvXadKDHnPj8WVVHrEI3GVSWlzX3ZwwelIa6jv3NV8P/7QUr/P3Bg4wxFNUGvPLZ8Xh8OOsazzMMkxz1GfrM8jyfEH3GPLh+alAUpZkvSu/zkARnaQuLZKW0fNQVuryUV0vFjl1blSaN4RFCUWEhdOY6llaO98SVIgDAFONc9HHuqb8dmHfjbU4OajLDMOaEZtQMvZVZljUMI7uW1DHv4sqtD4la88hZkc53BkpOSxuLHXbCeUoU6pc3ffUunuMorV/cskZ54x/JxfQlZ2rv+wwAINeGICj91f8DgNj6f+0769O4cllygwzTCRqGkbhsfd/3fT/MjUbTdC6i/GRYJyOEFEUJgiD72OrQuzm8wySE9Swkm1+n4Pt+7i7YM5UwitxxHJZlBUHoOu1Lpat+QwXDXb/lm561hGjfcedU967ivOGuNUEQK8+6HGPctuq+0o6X6LZnGhZ+KwiCAWVFSecreW2dggAAAkQnZz4Mmd3w0B5Grpl7zHj3cHoTBuOT1xvCtIKiqAsvvPDcc899/PHH77jjjq6uLtd1McYsyyqK8tWvfvWyyy6bbAsjTdNaWlpqamoqKg7q8i8qKlq+fPnatWu3b9+eMotAIBAIBAJhyiAC9OGNYRibLRq4gwfjI+TTbI9Y2NNlAOBSrfOo+vpDVMEZBcuyAGkEaM6MS/Hu+Q99J/E1nBBuFEUpv+tKAAhYHl/xs1Bftm07rVt3csihrus8z09PU29RFDu5guzqM+U6iwtYpTR98PJIMEXnpSWUM/4Rrj5E+5tdVjSlGKZGSW1vcwe+eAcu+nRpkgCdYxjhqAGz+RKORA5VpOzeQZqm7Z59McuyHMvSnl7z3i8TMl+0cy1beXb2ayS8phzHAWDjx56pnfghFPjC1jXRF//Y9dVfmBi5+zuKZFnu/OZvAQADYIwRxqH5RqLCHMcxDDPSvyK0pFBV1XGc7JVxXXfCpdtwB1mWzS4rK4oSJr6DrAbQKVVNGwQddkUoimLb9qhuHjMe13Vd1xULarxoOdd/wOyFtQbL1jyx75jzZzn/Cdt5OB0hVHnG/2jPXc87XvXuB1vmflHQ03Su5MJI9TmkbufdDdTVNXUZhw7MAHbta+7iImfPzvX5QiBMGSzLfupTn7r44otN09R1PQgCSZJkWU6b/GDCaWlpwRhHIpGRI/bq6urWrl3b09MzBdUgEAgEAoFASAsRoA9jHNd9s9vMpgMiBIC61Aqprb26koQ8TAAFg52DajHj2ZGOPWrz1rI3/pZdBEX+sFgWP/m/8spgFqZ6m0oBOne9m2YYh85ovkz53jzWKakqzmvrCVUxp8KD3Wrl6FHVM5h39nXqBdXDPzAGANEatNNlcWRtw07qoLKVwgPzMoS4HrQ4yyYH5k8UQRCIouh5Xi6p+UKLobBxGou/JTBozju3A0Bf9VnZBdCUvQutpQEgPnup/o2TU0KGU3ThME1c8jVoGIYkSRjjtB5H8XicYZjs+rLv+47j5BKAnC+e57Esm0nKp2naMIy84q85jssulGuaFgZfT3jbOBxhaMrhI70Lzu2bvXLR8zcnpldu/qeLqL7mhqr6BYmJCCHh/Td1rn6gwGyw+1qqe55rrvtCTcNDE1UZBFC//Wed6o2xkhn70PeACihm1e7W0+srj/CeSMI04frrr+c47qqrrgqTBFIUdUiyT7e1tQFA2kTBqqoCwNBQeruzyy+/fOSjbXBwUJblgYGBSajphJF4nqYkLThMMU1zeoae5E7ijOi6PgF5L3Ut11gJABzgoaFB8CbsFSt8cZrsS4AzrVEcHpMIfD/3vqwgwLlH92AMeT1NBwcHMZqKfrWRzICLPXG/zXRPPowIP9MO95CUxI3LNM3pnO0mfEAc7hnFiAB9uOJ53uvNfcDklIStK6CrRy9FGJ3CTa8sePOJ7GW8aHH4XGFZtuz+a8OJduXcfLflum6mUfDjh6IoURQdx0l2dOU4LgCgALIkWKMoqpvNkIkRYznevbS+dgyKAGfrjjRKgsdhhnrrjmz1uam1TeejKRNNIapovYZSlDKdcYzkCGif4YLCIqqvFwAAY9rJ9p2THDY74YTyZb4vkY7jOA7sWXGDoLfpQlmQ1RgkSzsc9aPINE1JklK+4W3b5nk+06XheZ7v+4qi6Lqe6bJ1XTcUbcMUfxN1gYuimGWPfN8XBCEvAZpl2VG/gTHGmqaFR8n3fYZhLMs63F9A8yVsxmLze4hmzIJqyrO7608v2bP6QAEcFD367fZP/rhi7sLERJblpCUfFVd/5+j2Pzcs+jbgsb9HGlyJ5HSPnF769g/bFlxRPOfYGanPCuADgMuJ7+zee8K8Edb2BMKUc9ttt9XU1Fx77bWHthr9/f2wvwM1ZVYYgp3JTWvDhg0jH22VlZVBEBwueWUOl3pmJwiCSVIWsOu4r7+Ks771HQBR7AknUbHUV8q8mBjbMZqhaudBbscESyr2PMi5JdA730J2trfBg+RVjkUZBh6NxCufhwty9QmkKIYqnJ1jYeAl2unMtfBk4noeoEOTj2FmXOwhM2NfJu/GNfVMhl/iBDIzvrOIAH1YEgTBG3s7ghTnjczw4/i+JSRoXfVs2WjqMwDoi88KtRuO4+j9bzZucRXkKeSlhDQyDOP7fr5yFcuynueNXIrneYqiQvW5jSsAQB6iEtH0FdDnxQdpmhYkGQI/ORaSYRiHSn/foD3n0U3G6oZtX1hZHY3kpibvp7qyco8RjKqVoP6u+uoZG9aXI02QPqjKECOAcXgSUeBjigYc6FIsuQxrG8PqMwAAYEEc2SwpigqzHlmWNXmPYYTQmEMYNE3TIAKj2VKPpSPkYEuQ5AuH4ziO47LL8QlNNnRmSJkbmjUjhFRVjbW9SpWeKGr7urnaKXjXYVk29/78XMLSExiGoSgKRVHxeFwUxQm3C5/mhGfcKlnQVzxfEAQZIX8gTd7L2F++s+/jt8w66oAcXFhcGgBYjFq1417RzTYovqvoZOboiyiGhXd+V6DtSJmbVn0GAAS4avs9RkPp0NIrC4vLxrRz05famuqWLgMQGuSj2xr3HT2n9lDXiHCkE4lEKIoK05MeQsK79xiEgJKSkpE6SPgyMM07sRKP6Wlez1zAGE/iXriu8eA9eKA/p8IUHbntl6gwv7GMCcKTMiH7gjyHat2Dgpxek7AaCygK57xd7s3Hqf5c03Liiio63pVjYfv0L7ixXJNgU9hhhppyLOwX5Jdbe/KgEMr9UE8gk3uZTBXkxjXdOFzOSF7faNMWIkAffmCM/7O72RXU3BcpYEjK+PHSsa+x9Om7cymJ0XBSQcdxnLJapq+Tcq1xxjkqimJZFk3ToijmItuFcXmh065G84pnhSGKYbIyjLHv+zRNDyCOo5A3QlA2aD6qqr2M3MOIhW4c4IAATVFUgNLf+8IXkTYdbn255X/PqCwqTOMIkQmKoviBdieWMbQZe24xtmJHvPrc09fn03zaWQHFKHqvoRQDQGgMLQ91xyMH2aQWrH/9wI//vTHFZiG0OQ6b7gQMnMxK2J4nVXvNt5c4TNOXEKANwwjHLEPY7Pc7eIyKYRgsy0qSlHIMMcahXKu2rrUxrtv2CwDw6j/fR0XHGThAUZSqqqHFR3jVh9PDgdgIobyMp2mazivs3fO8UN02TTOU1z3PO3JkaIxx2NLCwHbw0re6op1/7GkuLz7nm+GrbX9vdxRAcAf2Fb9/ds+LGVcOEF3x2XCR4NSv+y9cTeNUoxUMGYfNSk6XuPbmtsoLS5Z+aCz7Nl1BCEW07iG1FABaabW4t7ekaFyRegTCOFmwYEFra6tlWZOdZjA7xcXFAGBZ1khFILxNZUpw/fTTT4+ceMUVV3AcVzSNLy6McX9/f/gALSgomBqj7UkiCIK+vj5JkiapCfkcO0RRub5yIYhEIuKYTr1hGOHLj6qqI73I88Xrj+g5y0EUhSKxGCXnGgFj0VTu32Z0PrqPLEt0zkcv6JJyfwWk6TykG4pCuRuY5Cu7FRYWQoaApMnD9/3+/v7D/WLHGA8ODoZ9frFY7LCWFIMgGBgY4Hl+6i2nJhZd18MvF1mWk0eHTzfCSh7WbQYADu/aH5ms277LyEd9BoyrSM7r8REEQey316R9NLuFqcc2uvqxqB0HANd1ez7xv12X3GzWLRnDRnVdDz8VwjH7nud5npejpibLskGxbXJZk1Dcx6rNYkmbUtbCF2JECYKgKEqYXU1AuJdL86I2yMpNQrHOiADQxyiSdCDWPkvHIO0dGNl3x6q2fOW/WdVVit4LI5R6HARMf8fcCB8ryEPRnqm0aFlT9kmFtG2Iel9ksE0daItHSgCAwkGpM2xgJz50z3DRaNRbtCS5X0SW5bB/wjTNKYjJdV13sj/UQ8eM3Mv7vh8EQcorlKIoiqJIkpTXKDnXdU3TDBcUBIFhGJZlw5eGIAi4odayPa/tLP0YAEida2Uxj0qmRdO0UN0OgiAcKhEEAU3TlmUZhhEmwsp9bfm+1ie/BmGM4/G4bdvhcctrPWlroigKwzCKoqiqesijC0cFY+wXpo9OGhJmFw1tdp766tBAPwBQa38FAAhw8dCmLCtEAB3Ne8P/KYoyz/5J2jLZ11DV9vTQG7/Npf6HEcfMmZX4f4MG2XOZEgiTzcqVK7u7uzds2HBoq1FdXQ0AruuOfIiHPraRPEenEQgEAoFAIEwgRIA+zFi/cVO/nOeQKIRe7zJe7zLWtA6YpjlJnsIzm57nHqGdNAPYuz7xbaavI2UiAoisfmxYxKGosoeu77/girF5PGmaJstycjSi67rZe71YllVUtVks6eGiB3dnowBRrWJxm1LeLBQ3CcWAUPcIK+E0IBQwB0IYMMYjNeLhWYMH0nRggP97aefoKz+Y8tLSuQpT5Az5bQ1eawPV3TKbx/NUdnZ11TQfETNlWCh9uEFFKDEj5HKiLsUGIhWD0QoABBjXuv0mzQNA6bsvUz1dAACnnQW//kPCkyGMl9d1fWY4kSUIM3nmtYjrutLWNclTtP2MYeuaphmGETqZYIx5nlcUxbbt3qM/ggFqdz+5t/j9Rdq2uVvuGL8WH4bfhn6dGOMwJcjYVpXvQRt5bYbR4pqmjVODFkUx7HszTdMwjNA4aDwrnGwcx6ECf+/xnxs5a5CqBADWN5RXvrl352YrMpwVQHZGGf+rthyIj+Z4vm3ZdWOoWPHge/5L109zY7u8oCjqKGp/lD1C/24bJO82hEPINddcU1ZWdumll27ZsuUQWmFWVFSwLNvX15fiuYQx3rx5MwCUlx/RKTQIBAKBQCAcWqb1txwhhX0tLb3D3k9j+dDyWe7dOH6zS5/OyT2nIUEQFKx+LO2s0sfuSBnd5CsFAMA3bQ2D9TDGdrS08pdfyVfTSZAydp6m6bTfNuEYfEVVe6MVzcJoXRQIAUCzUDxa8NwwTHBAl2RZlob0H1dD1kHT+2w0tqi0WCw2f968BUfNq5tdO+bjNlNxmPTRsjz4AIAwLvK0WueAy3OBb5pAa4ir+u0t0m03AgBc8BHn0iuTFVVJkiYp02B2pkAwylevdBzHXHRy6LyBEMrU15IvGONQRdU0LUwP1XjaDXwpU2TvCIACgOrmJ8Y/nDD09xjnJZPS45ULuq7Lspw8TiJB6Ig9BhkaIZTcLH3f933fMAxBECiKUhRlevZIOY5jF9VG2zePnMXAgZvhrM13gjl8kSIAj5F7S07J1NREoyX5Z3F59d76S8dQN9HtpV/632AGadClxUVRoy/8H1P0m7ty9dAkECackpKSZ555Rtf1k08++cILL3zhhRc6Ojp0XTcyMEmPP0mS5syZ09nZ2djYmDx97969O3fuBIBFixZNxnYJBAKBQCAQcoEI0IcNmq7v8hNRcggA5MGxpMHFiHpn0FvT2vdm2+C6va19AwOjL3NkM9Cyl/JzigztOf68zi/eAgBdn/9hIvxQ6GsDAHXdSxNSmbQfLbIsy7Lcx8jNQrGPJtgVq8QaSBHBw014LXtbdh70t7ottW5NrW0TW5kjHNu2cQYD7r1cUdQ3K7xBxTP3sYXVTh8AsNiPBeYgI1X86S725efhlDPg/kftj346pWPgUGl5UyBAj2EToZ3FsBEHQhNu+6BpWjwe9wLwaFl1OwYK5gOAou0ZfxC07/uapoV9Ufkum2gDYwsxDnUWWZZHyt+hB4ggCKqq8jyfbIrCcRxCKPTLDpdNHG1FUUa6SAdBYJpmWEOe56ehRxtN0xRFUSPywgcUK/EHXXQlQweG6u+bdwWF3QClb2mcOzQ00Jc8pXL+Ca2Lv41z6z48aFWB4a5KY+Jx+HJMbZVoDydFMAX1vR17Dm19CEcsN9xww7HHHtvU1DQ0NPTss8+ee+65FRUViqLIGZik4Qgsy5511lkY41tvvXXdunWhHdOuXbtuvfVWjPEnP/nJaDSHcW8EAoFAIBAIkwOJLjw8CILg7c44MAclc9CjZQBAeQ4ABEw+eR4Q5bMCABhMbKsDc7u6yktLR13oiMV5K2OGqBSK33mubeX5bV+/x3VdbFkAQO037hB2vqMed45u2eMcm+m6bkpyM0VRAKGmUaOex4oInsUwKYbOSn/7n/flsDAZEj2hGKYJkEalkgK7xNP2sYWDtEAzGAGwgAHARXQjWxhr3MR1dbgP/NV13cDzAVK/ew+VAD0F45THpnFrmqbIkqIoTO+mEn+wt2DFmO0sMmFZ1t7Z/zN3zy9Up62t5LTynjVzN9++55hrA4xN0xzPkXEcJ0w8mPu+cxwXLkLT9Hi8dHVdZxhGVVXXdR3HSewFxtiyLMuyOI4Lxf1QRLYsKxT6w0jnMAY8DJcOgiBt/cNY8nBZQRBYls3Xa35SoShK07RZLe8lT/Q42fncT6vKq7tf6i6KH+T4HOYPxDQX6dtA4/Q7QmOn6M3rWuZdVjbv+MTEkuq65uDqWZv/L0tlhoSaiNWcMlG1mtrWPlq84lP57dh0BSG0rLr07dZeh5MAoEeM7Wtpqa2uPtT1IhAmkrVr1956663h/+F99d57773vvvsAoKCg4Kc//WmYexAAEELnn39+c3Pzs88+e/PNNyevZPny5Z/5zGemtN4EAoFAIBAIB0ME6MODt3Y3+UL6zCH5Sc/paPQ44gmXhciW13MvjBGlxeOJnwEn9B17ZuGm1/ieFkyld8/Il+QQRUmS0GSqzwA4bebDJ3ZMsB5HyAXHT99+DIpvZtnQWcVHCAAaueHs20pfG/P1q+Cxx+2kTotkDqGVwRTksB57kDWi8PpVKN5TVrHXl6s6YeIvMc2wds/9Zt3un1XE39pTfsHc9r/P3Xw7BuisvrCTmzOee0Uo9eYuJXMcp2laXpp1JjzPi8fjCKEwpyVCCCHkeV7o+xRWKXE/EQQhCILEDS0MCXQch2XZlFEXySSajWVZkiRxHJel8BTj+76qdfTMPrl475vhlIBm6a8+UChKAFD8vquNZ64R3QPhzOG1F2l6jg6y3VERQM2u+5u1zrLjzk9MLJ81z9mucl4801Ky3eHSEuunXvgVPata2k4tq8xVpW3f8XZp8zOMr3u0aAkVA9UfrJpdn+OyUwBC6PjKwrdb+1xeAoBdvhgdHCwgYZ6EqeW///u/jz/++NHL7SevsSahrX/KlPB2nTaS+tJLL124cOHrr7/+3nvvYYwXLVq0cuXK008/fXo6FxEIBAKBQDhyIAL0YcDGnbt1oXDy1u/TpBlkg9X6cy8s7Hg7mLc8OUK5cNNrw+tp2iZUzhu/AXfy9wZN0838JLYNAJTymeQCJQ912T4AwHk1uNtC73RnXPjeDcaleO/8+tmTWcMjiCzfjsEIaw7as2Nf/SJq2kfNmWMeHMArSZJlWUEQyLIcfpGmhNXPGMY8zFnTtFhpVeErf+q9+ILKtif0ud+ccJtsjHFc0/bMvXpOwz1z+5/dWP6FuX1PS05vecvTQtHx3RXvS9liGBqMMc5Rb1UUJcc6hzHFE+iIEiZgTPykKCptA2MYJsyzmjzRcRzHcURRHGnBAQCiKNq27XleuELDMMZvXTKBIISYeBdKMs3vv/jHVaKUmMuf9+PgqSuopFEIFhuLmLkMJ4Ga9me28xV1C5clpnQv+X9V7/5oZEkMCAGmsbur5CMLOv6aWkmAyg0/cct/nosE5r7yw1pr2EmJ9XXR6Ylt3RRspfbM/mLtwjzktkmFoqgV1UWb9uwbipQCQu/2u2fIHskfQJhKFi9evHjx4kla+YknnvjUU0/lXp7juNNPP/3000+fpPoQCAQCgUAgjA3iAT3d6R8Y6JpM9RkAAFGvdxmvd2pb9+wleeRHYlQelXvhohcflHe9o0piIkyv/5zPhv+U/uOuCfGTTXFrzWQKPFEghDjuQJS9QzHbO8xLF4tXLVfqStWjy6Tz6tKnxQt5YKOxaXdO8gphVEQ+1+EOhbs3FF50NmraBwwj/ujWZB1WVVXDMCiKCkNHNU0LgsCyrDFkihsnk2SCmcx44ojdynoA4P76zL7IWXN3/zxFJ50oNE1rmHOFy6g191+/9YQb3z3+NpcSC3rfKd/9cETiVVXlOC70tUAIFTU+yfXvSL4eMxFqyjnCMMykqnVBEIQJEhVFSfaADpMKhubR4dzwn0yHmuO4IAjC5pqQs03THIPn9WTAMIwkSW60oqhpbTil4Yyrgs4tKWXiZ96eeMpiACpwW+ZfYYpVuWxiwd57Wxu2J36WlFU1VvzXyGKJ1LgLOv66e9G1IwvQ2B1492+jbq6vq0O20vj4UxDM23s/9+xXWje8Mk3eGRBCi+fOLta7AWNMUW/u7ZgmFSMQCAQCgUAgEAghRICe1nie9+7QpNukDoOoPrV0/b621q6enc1tnT199jjMQGcSzgc+m1f5whcfKnvwulAk0nWd6T3wAV/w4u/HX5/QrTX8x8+sPqMgJ3WP9t35lEm7aYINQwJEJYbM8zzfzyp7B/Ezu+3n91j3rte2dFlzCkaRrv2bb/oAACAASURBVB7epE8rn9bDF0WWAY9yQ2Bso/g3P6G/fiUAUEcvlP76Ny1JhKVpOrQz9jwv2aIhCAJN0xRFGVsOurExBSGKnueNeY8Mwxg64xM+LxU+/BsMqKLznxOekDCxoYaaL9p1xwLGmJc2rPhRXKhSrZb6rXfWbv3FvIb7ZvWtqtp1f+WOe2lV5nB8VAE6FGRzD9kOS0726dA0TdM027Z5ng+FZkmSaJpWFAUhFM4Ne0R0XU8b/syybFoz7mkiNYbXVIDo/qqlADBQuWR+8yOVe5/o7+tJLhYrLG6vG36mNJRcgBENAKLZmuNWZm//hRYfSvysXPqBfmlelvJzt9yednp596uWOcqgB18bJdHxnNbH4KXvWuZ0sUBZMKf2WMGnPcfhpLVbdx7q6hAIBAKBQCAQCIQDEAF6WvN6U2Z3gyRod7yuDgkMKdYIUhdfsCsQ3h7w9ra1T9SaD1+KFy0bXHBSXovQxlB042sIIYZhtBUfCie6RZXdZ01ABhhN0wRBUBSFYRjNw2K8R9J6xfj+P61XjPfWY+3EEkm0MtqDAgDle2XO4MrySFFhzGczDmPXEZOQ8GiOtzs7JAZ6jGDPgOcEcFKN9MDG0a0b9rb3jFqGMCoIoYibTespfuFvsY+8Hz31j/CneOttyXYNHMdJksSyrHwwCf1O0zSe55NjVCeP0Bp4sreCMc4lXjgtQRDEl54VdvZsK/6Equ1UkT4ZHpoYY5phtU/8v+hQh6L3As3sWPZtky0CANY3aN9U+rc0FZyyeuG3u0s+iPhorO3lLGIxTdOGYeQb+u153tScdwCwbTsUmjVNc103Ho8bhqGq6qgx+IZhpD2bvu9PB29TmqY5jqPteLR9MwDosdpwOrPqxykSefXScwbUhQBQ3/2MS0vK4PaRawMAj0pzRhAAv/bnB34iJJ7+jbg4awwVNtc/mr0AZka3N+G9wcir1wz0TZc7fDQaWVkRjVkDcaV42+6GQ10dAoFAIBAIBAKBMAzxyJu+rN3Z6Ak5JdLxWSHxP/I9PHGezi1MtCgeF0XxSLZTRAgV/c/1bds3ld6XZixzJtyyWowxz/PB5jXhlKHjz2VZdvwe0AAQhgeqIn/03VeMnNt1yscrPvJFAFg+q8x2nL27dxW9/jjtGBhRmKKtwko7Vl5wwpmFpTGACACsb+kGPqP0M8BHawInVL17WLWxZ6jDgAAQAD6zAn6zTltRya5pHSXAeWf7wLxZFePaZwIAACwqL1zT60A6ua1g53r0i58lfqLCwpRwUZ7nNU3LHi5qmiZN07IsT3ZiN4zxFCQhhPGlOjRNs+dLt5Xe9fXou6ugFhAEsixPuBk0hHn59CFKLUCOBTKAbWxd8q3l73zP5ApbCk/tii4YkkqKnQEv8IakOaxhVmgbB4pXeL6PMR55S8muxmayV3ZdV1XVeDxbr9WE4ziOoiiO48TjcY7jKIrKIp1nSpNIUdR0CIL2fT8ejytVC/XKY9WW9TGqFQACoCSrs/ndF2cd/8FEySAIWGc4FaFityvNT6ZdYabMhLLd3tbZWlw27NpBURR92jXuy99l/fyu2bKBtw33c0zmuH5eydX+q+Q/N7QsubasqjavCkwSCKFFsyot297e5nd0dpWXlR7qGhEIBAKBQCAQCAQiQE9XPM+zYCy6yQSqzyEbTBoMm/a14woFQRBGX2CGoryQh3uGNfsYs7wODMP3/UjrjnBi0QsP9Fq6t+jUtOpPvkiSVH7vt9POKrvwc0EQNO3aEXnz71LjxnpjKHludM86APBf+xO+5TGEUHtHh8FHRtkYQqIoUgyDXafbggAQhSDKwmvtqFSAOVGWpanVTem1kpDVbfi8IJhKe4eZCsdxc4KeRvqgrim1r5X/1tdQ50Hj5aW779FGOJ/kotP5vq/reu4p7MbM1GxlnK3ODMArKI1sXBXUHl3T9Iemms8JQmxCupGSsSxLiRYGQeA4Du05viDDYM9zS38CAAhjTFEAUEAFmm4qirKz8sxzNn2/uOMVDIAprq/kJEyxg0XHA0LhGiiKYhgmVN7D3Q+CAIUwDMXxsL8TK5kw+9/Up6MMO7fCPg9FUVzXDc3BEUJBECQbhXMcl1Ztnz43FpZlEUKmUqoCKEYzRlTrgsuqt91XuetPQ/NWRqLRIAj2bF1f0vpCxO4YdW1ZuhHkrQ9D2XcSPxmG7TzmquoNPxlZ0qFlLrMwPdTdXFhZl2luJFbkI5bGoxsoIYDqDbe3eFeX1eaRMmFSEXh+6Zwad/KHWRAIBAKBQCAQCIRcIAL0dARj7HneilmlALBrT0OPEPPZcQ2ORoGHqXGca4R8hntn0K/pbp5VXT0dBjtPMd1trbHmbSOnY0ShEZ68GKDvoquM/YGE9ikfhp3DOamKVv3FWnzG+OuDEFK3vkE5aYTstvdf6m5cV/vI96uzroF2zL57f6AtXlnf8JfWk39kSQUZi2LcTSsloDXzRU079/XZCAC+sFhmENAU/GadtqvXnlc0evv8xWPvfOPiE47AxjPhzKqq9Pfta+KKACHW0gquvxq2bk1TThAgSdtlGCYXywue5xNOx4qi2LZ9uPt3jzM21nXdnkt/WP5/l3ds5SsWGrXNf9xZf/VE1S0ZTdNUVfU8j/UsH6CXlhjf8RgeIwQAdV6/Fo+H5s7L2570lBhoiPV1FDjFnasAoKT9X+F6PEbZdfTX1fLKLNvyTQNZVtoj4/s+TdNTkB8yGYZhwn6IlN6IMPtiIijbsqyRsfkY4+nTRBmGKXz1N6zegwEQBHuO+66mac7y6+rf/RG76sbAGwKAegAAwAC2UCZYo5gsZyJq7tVdN9mUvLRqTnxnjWo2p5TkfB1n1rK1rr1ZBGiEUE/JaWVdr+RSJQRQs+Vn3dFbogWTnDY5H1iGcRxnzD48BAKBQCAQCAQCYaKYLnFDhGSSk4PNq687qSqWY0K5TIxLfU6AUDNf9J+2/ukw2HmKoZ+5N+30keoz7P/UD6PFaZouffC6g+YiNP6PYUXgC179c9pZlS89UPvI93NZSXTnWjm+DwBWvnl9YeeOkQUkrbdK76xw+jkUtNKqvq9pQw8AwMmVjMggDHDPOv2TcyHuIY7yK5RsN5NTi9w1e8xP3b56X8vocX+EUZlTW3tqqVjyyG8KPvrBtOozc8opyXKzIAgsy+Zy5WKMtSQoihLF0X1gx4xpmpIkTZn78NgwDMNceJK6e30jfRoARLQdk9SPYlmWqqp4sLfbAR/RHsMz2AeAmGe4lgkAGGNd1wdLzxT8flbETqRYi9U3ln3IpQ6cI8bTxN4t2TcklFUWVFanDRx2HGdSz3haMrVMz/NSbGSm89NHVVWappWeXbzZ3z9rBYWHn9qu6/o0jxHl0DIAOFxhc93nPVqKFyzKZbU4g3rcv+21lCnBid9Ie3SyNNZR23F02cfyOuKFa24Kxve6MuEEQZCvJTqBQCAQCAQCgUCYcIgAPe0IgiDlG9t1XUxNhVlqLvissKZjqH9g4FBXZOrwPC+y8+28Fin+821CT3Oo77RfdZcXKU7MqrjrSjaz52YusCxbft93Ri+XAwkBffGmu2Y1vIyCgyJkDaWoVS7rYKPbGrr+sbb9ldbhZvlmm4cxDjAwCL/XA9t7vb9stz86X6IQ1EbTNNRFBfiPrw8AAMbw7T/saO+aLumqDmviPT3w8B/TzqJPOon+xjcTZgWh9UJo7jzqasMA2MRP27Ydx5FleULqnHZzhmHYti1J0vQxUkghCILe933Wmres+Mn7dbakvPPZAs6TJGnCN+S6buhHUaG1l/latd0zxx+c5/UVYTMM8rUsi+d5TdcbZ12OAbjAUNz2OfprjIT2lp8boOETJ+t7R90WI8mJ0yqKorIfQRCmOPwZAHRdH9kAEEKyLCcqEzbLTB7QYcbXQxvo6rpu0X/+CABtyz9ayuxKnu6IZS0FZ4RWGK21n+SNNtY3SjpyjCxOrwBXtTyRcqZESWquuDB93ej0zbW664Xsmj5FUbvnXZV2lsEWj5xIY6/7nfSW1ocQx3Gmc9cFgUAgEAgEAoFwJDBNP/iPWDDGyeHPiYkTsnLWnpisYgHNbrHZ7p4jRUY0tbyzcnHdTWWP3SFJoqZpQDPM0IFjhTCOrfrLeLQ2nufTmm+MAQQH4sLqGp489dVv1+94WtR6BK1P1PpErVftb96zfd/eISwzeHHSuGrbhyAIBAZtH0CzFDA9WNsU52mwvdS2KjOwan1f8pRvPbBl+gyZP3xp++h/pZ1OzV/Af/s7CfWZZVlZlkPD3xzjdlOKhRqxomRMUzkhGIYxGZIuAExI8KNlWYMfugwBtl/cZtHR2fvuR/GWydDlwxhnReA5K+4ZejweD0PRw7miKIZS2pDp7ar9Wmv5R9vVlQCAAGZrq7EsNRWfBQCi1ZXLtviSclVVZVlmGMYwjHBDpmlOiEl9vliWldJBwrKsYRiJ0ydJkiiKaZ+GjuOEuvmhFaAZhlFaNgBAxG1BcEA29n1fj86rb3nCoSUAmL3rntKOl8a/OQTQvn0t7H9tCI9M+XEfMtPpwqyf3teb94aa3lvb3daaxZ+ndt4xDqOOnC656d8BanpezsXtZ4oZ+WZFIBAIBAKBQCAQphLiAT29SBluHMKyLPJtnEP0YnZcfr++gzGMcwg5Qjs9vujISCsXuGP8cC168hf6B75k27anFDLaARFW3LGWO/XjY8tjhhAqfPHBsdUnzdrwQQF0NHZrml+oaX4heeIxfMGLFZcMunRthNrYh4oE6LXg6Z06Aqy5CAAunK+sabF3DXimh00vVeyTDS1uHTTRC+C5N7dfdMaxE7UXRyB7t2+HDCoh+/73JyeRY1k2IV/mIkBjjEcGSoe+HIqiJAuCEw7GWJblka4LAMDzvOd5Y4vMnah4Xnqgy46V6+d+Xjz+VLzqmnndf9vMfInj+AkXtjDGhmFwHBf206RIruHuhDq1DgW0VDQQXVY5+O9ofBMN/izrLTtSOkTX5rIhRNNCeZXe0gAUf8g9CoIgkCQp0TWlKIppmgzDsCxL03Q8HjdNM5OXgud5oeIZHrcczwhCaAKjYlVVFXe9DgA+IxRouzCg5rKzE3MHy04sbn3Zd2lMje56kTtVbU/F+9YVxjeHFjY2ow5FF6EV3xLe+G6OW/ERV3r/jQjABYjXLPA/f21xecXIYuYpN3Kr0ue8TUvnxn9VLTs39/JTAMY4ODLeWAhTQBAEV1xxRXV19Y033hhOsSwrTOLKMOTDikAgEAgEAiE95F18GpFJKEEI1dMTEpK2/5s0VYcay0c4puimI8NLATFjdMxgtAEA4Bk6WX0GAMqxxvyJIkmSsCM/P5AsUDhNnNpA5Ul7T/xOwyk3Nq78bsPJNzQv/3qd5P536y8EcK7jnz5HaQWALhM6zeFWdN/6+IJC6uKjJQCgEBQLB5rTWSXeW3vSNN2/v9M/UbtwZGJceUWmWfTZ5yRkNZqmQzFXkiRBEBLJ3LKQRZLTNI3n+dDcfMIJ1W1d10M7juSAa0VRXNelaXpsUdgTFYzpFlaU3PbnOWeeJytqR/QkBHBs+73jtNPJhO/7QRCMjOcdeXZ837csq73gdJeJhlP4QKtwN5o73szR8rvupR/UvPTD5GM7Sad4VEzTTFTDNE2O43iepyjKcRyEkOd5o3qFhwctl3bCsqwgCGNrUSMj31mWLVx9b8G2fwEA5VkACAEWnH7GGr7R+QEGAMEdGGRz6hvIEd4dKIpvTjzOeS9e0vufoje+61G5ung38meGiyMAsXm78qMvxG+4ZOQIFVFWulf+IPeKze54KvfCUwYJgiZMIPfff/8TTzyR+Hn33XevXLnyrbfeOoRVIhAIBAKBQJjmEAF6uoAxzuJLUF5aepyMZXMQ+R4VeKxjjE01zsAYQ7L6nCMisY8gK2M71vRQT3HL1sq7vzZyVuSNJ8YQioUQkho3TmAAHeUfCDV1xOI9p9y048TrWitON3xkWvaQ6cR1Q9d1Wok1nHLDksY/RYcaOAoYhC+ZNXhp7QAAIMCVMjyyzR6w/KuWK+fVCz3WcAUrRPzA6vRCs2bjQx5xefhimSZkMGGnFi9JDh/meT70dLZtO8eIe4xxlpZpmqbv+xPrlUFRlKIomqYlBNPQDkJRFFmWw1lBEDiOo2maLMv5psjzfX9CQtIMw2hoaAjbbdWpX9DZUgCob7x7klL22bYdmiAn3Jmz+EuYprm3+vM+Gi6AAOb1/b3iP9c7xui2SwgHtGvMee57MWSrihKj3EMVJer7fqINBEHAMIxpmggh27ZlWaZpOhcBMTQSGXmswuyvHMeFriOCIJimGZYMD3Lu9Qz9pgFAEAQ1PDfOoNy9i7XjAIAAeqLHAkBp/7rZW38drhkh5FECAES1hk5xSaa8ghMCAmCDnHqsfcQW/z01vy7b3+lffcG+TetTpkcLS5oWfyfnRyEeT3R5GK08Ga7NaQeZEQhjJtFKu7q6tm3bpusT43RHIBAIBAKBMCMhAvR0YdRPa1mWj6utOKUicnJ55MTq4mPFoNwZoL0JjuhJZKXLBZsZJR5tZsBxXP8JHxrDgigIMtllSNv+MwZRTBCE2LO/y3epIHMEtxrfF/7TW3164+LLNU2jabqibZXvuclRkLZtm6bZtOyr+06+Lloz/xbn10t23Fvf+AQAzC+AxjgCgL9ut2zb5ii0uIT98lKZRrD2vYwB8jKHPGIDPVY6tm3NNEu84cbkgN9E3ra8pJzs+qPrupZlqWoaT9gxIIoix3EJk5BkNE3TdT1FN9d1PYyTzSWhYoIJEaAxxgMDAzt37gyPMHfGdQBAB06OztpjwLZtXde1/TiO4zhOpihgTdN2VF7m7I+DBgAG3Dkbvq+17M62ifhg4n+EfaZ7tyvFki1cIGfr8HESpsrUdV0URYqiJEka7urAWFVVwzAoiso9NDtFgA5VYt/3WZYNrTwSowEcx8lXMzIMQ2BpVVWx58z62zW1f7um8oWfoODAACZ38MD/de/9JNSgmWC4JZcOrOsSj3GpbPvSGVtp8GV51WoMNNEnUkH6cVdlv7229c3UHInl1bObj/lWLrcSNNbcFaau7/vV7T0fO6X346d2f+yUpjtu6Hjv3QnMiokxnvocm4QZSWhJT7rSCQQCgUAgEHKHCNDTguTIrxyJqurc6sqTKguWSsF8yjxW8GJW+qDIHOF8t8QZrLH7IOea+AxvHIp0VVNP8Se+olcvmMAVWvOWjyERH8MwKLezE9AHRGfKS78hnxOZwAaAeOmSwdlnczQq9HrEjvekvh3Hvnen53mhahOGu/q+r+t6qNTsW/FtAOCcAQBoNwAAEMDJZXhTH3pyp7mx232lUXc6+4sj6YXv0+dxDyz8B/Py9clfbvGhgb6utr623X293eSLLjvmH/6Qdrr08CN6UnwfwzBht1a+95ZRBcdQvxt/WkJFURzHyR6a7XneyGjWsKdEUZQctVGGYYTcUFU1ewHf9xsaGlzX5XnBQxxk8LGZJBzHyaK8O46DqYMuOgSwoPl3zu7/ZFqEX//PxP+Rxn9bhXNSOgPC+PQpcDXFGCuKIooiTdOyLFMURdM0BL66+m/Suy8BgCAIeYVmp/RSxONxURR1Xfc8b2SWRcuykptZlg2FYem2FziOU/fP76ctU9LwusXGhlcVuHXrf0wh8BmxteT0cGLh0LYWvKwtcmLaxTFQ/OKP0Wff1FF0Sg47OkY8ii947i9ZChQ98uO2l55MuXuUz5rbccLN7mgWH3i0fqy0WIYRv+QD0ivD9h0IQFzzMv2Dr/V+4rTm5yfM04OkwCVMCHV1da2trWvXriVdGgQCgUAgEAg5QnJlTAvG80UUqoQAEI1E1rQN+EzGYdpZQIEf9Yw+TqVwAAhFXR0QDDKpTpcjcRxXmpwR6NMKiqKi37izr3GX/+9/MPE+oWsvqw+Ovlg6ej/8taJ/3BXQ7NgCxAJepOzRRX/KT21RGEBferawZ4NVv1jeuAoFgasWAngA4DOS2v52ccPzRqS29ejPeKwC5oDY9q5g9ZZ2vz1Utqx77oXhyGXXdUPlsX3hZyq2PnJp6b4HumrDlb/ZiRjkAIDEorbmwa+fVwMA1zzcmFwHBHDDadpx/U+BBwCw843nSxre1Evqykvai/GBnWqNnVLKNfcHNWLVOVlsB45YcHNT+hmShJNiOQVBSIiJFEXlLuvnqOqGhhi2bY/BZDkMcU0b+DwSlmVHDhAJw4ElScIYj9QTU8AY5+hAkksx27Z7b/4fpnVP/8Vfroc3ovoOjZqTy8onhCwPC1EU+e40ww7qup9ojM6SlQgC6NMMuaQ0nG5sWVO350DGUbXlXcq12pd8Kvl40jRNaz2CXGTb9qQqd+GVTtN02Pz4da/Q2Jffeo62dADQl70vDL3PcW1h0wr9W2RZNgwj/D8Mph4pGHmehxBSVdV1Xc/zRFF0XddxHIqiEs2bYZjQboXpb5n3r58NlS+ikpK4akV1bu0cwellfNPgiofkurqOZ8JZFPbq1t8OGFd1r8YATbGzi1Y9WW7/FQC6q+Z7SxdWDB6w9Q+A7l5xQ0xWAKDwxM929n5AXX+35HSN4ZBmp5k+vsjdlr1M4T9+0x7vr/jIF5PvCUUlZcEH72xZ/3R1x3OZFhxQ5o/+9jCC9sd+r6R7LCIA4Xe3tz/xIPfDe4rKyvNfcSqO45AnC2E8IISWL1++adOmk08+maIoVVXDu9NHPvKRHBMD9PT0kHSFBAKBQCAQjjTI28+hZwK/6nnfMcYkQGOK7uajAOAjCgCivukiWqcEjxplnLvhOAVj2N7hSXRWXWfl3MgrD9PO2OO+HVMHAHHPe9yKC8aSEylP2XroxAvM+Sf4SszFYNs2dfz5PM8PnX5x5S+/gik6FKAL2taEhXmzWx1qLNnzd9ozEnpDpHOd3LM5YOWdi76MEMIYa5oGsXntiz67aMvDPwVKlyvfrfroU82chwEBfGKB+MfX+n/wt32XnR79+vtiv/zXsA10dYz5yex/iv294U+DL52z5kEA8FmeKz4QtxsAVcE3UAiXUntwx559zIcrKmvyPkozm650ahRC4WdwYgLGOJEtLa+Wlrvlgq7rgiAkUh3mSGikkKP6nL0+hmEghBRFyS6PTqyJBMZ48JLvFd92Weyxe61PnVza9VJXzVVTFlZJ03SmbdFUxt2URbEgGgWASCTS2NKqlFUMtbfOe+ue1GKdW6rWPdS67AsJDdp1XUQjhNCk7qCiKFWr/o8zelxORYAbF1xc/tpBwbnK2uf1E8/DGOfV0jRNEwQh+UII46DT9lhgjMO5LMuU/OvnnN7b9qHrpOYNPRWLw1yIhWsflZveDRgBBR4CiHZsSSzbM/vkMnonNbAu/CnZXcXxg3xyQm+r5pJzClY9U6b/6cB+te6A1h1dsxZx84sKzIauFTdFCktjSbHDsaJSfM7NnV0t8uYHFbs9Mb256OxCbatsd+R4KBrKLprV/UI45AUAfMTG/pkt/DlB4St/afO8qou/fNDuIFS67KIB7cxg/e8L46mOQA4tiad+PceKJSM/80iWuUxPp/+Vjzb91yWzLsmYgjVHQoPpqfGWIcxIEELXX3/9W2+9tW3btiAIBgeHIxJS/IsIhGkFW1NLRXP6aEMUhUbL+jtm/O42f182c7Bkgq7micx5RJhA+rcDynmoU6QejgzfTgKBMCpEgD7ETKwjYX1E2DQRKXaa+CIhcCudfgzQzBdB5u80Lh8n1sOaxi2bqh+8tnTc66l48QEA6Pr8D5ycBbgEQRBQTrYYQJ/laXe4BQQs33HFz+LhVszhpXzfNwyjqL8V0kVJM068YuufYASU7w6qpWK8xVCqwuaqaZrGlGkn3SDrrZUbHzhj5y+3V3zrxGo5wlNP7zIRwJAV/OzFAxkIbzpXWNLyAEraoNXmhWFCwcFGQP3M7CI0/AmHENR6/9jX+uGKKqJBDxMEAaSzrKWqa4IgmPoMSJZlsSybe4S1oihhJsPcN6FpmiRJmT7swx4RhmHCENfcVzseHMcxlp0jrXu5i1kwy/uPyDFTJkBnUs1kWa7fe1empRKfbwihuprqwcHBec99N+2KxJ49Ve8+1LHiskQQccUrtw2VLzbrzhlDqHvucEYPALBOHADmbnwg5TmmvPF3/cTzxpBBLvQrj8fjyceNpmnf90cq0eFYItu2+5e9r/LlB5lda3itIyg7hqKo6ie+S/kOANBumnZoFVRQQ6NEEwNA7JV/MFY8Xn202nJQYbVpC26CnR+4fHZxmvBehFCsrAbKbrQxBoBQOS1DqHvnWnl3+hwDI5nT+bT1wbs6uzuMzt21HU83iyeVeDtyXLZo9eON846bc9wJKdMlJQKnfc3GuGn3NqlvU0TbpYvVZtWplbPqqTFpu2i02wICEP/+h+a2fdXfuXWc8rFt27lbihMII6mvr1+3bt3vf//7J554wjCMxsbG1tbWRYsWxWKxQ101AiE9fluzvz8KZBRoGjuTlbLV2fiW/uAdORZGokiGCkxP8K4/A+RsmbjkasSM/xuaQCDMBMhN/RAzsTnZo9FIaUNjl1yaRTLOCYRcijaAlsBXfEtjMppssOzMb0IY4+5Hflmz/sWJWmHLeVcEk2MamFCfAaDn09+Lp9PjVFUteuiXAMAO9WIoRBlCCzDAUKTeY6RY/1YK+7GBHc21F4gcx1AQABUKnbZtU2rNnlNumrPm1gth7Z2bT2QQPi5q19XgAZ1CCE6to1aUm/Udz7AtBwk9HbEVRdufD//3BQngwFxDrS6CnYmfCAHu2dzZu6nkmHPHYCp62IExDgIfISrTzlIUNe+tt9POav7db6QPXTD+CKx8Pbhd181R/B2zRjxqykHP80KdGqYkBs1xHOB5APCbeqAUZjf8uqH+a1Mjf6c9FKE/coB4Gqd5oGAANXJQ0FM0Gm0/6crKNb9Ouwmxd8+c577Xcvo3aWuwdYvAsQAAIABJREFU4t+3AkBs3xsDC8+fvB3Udb1z8cVlG/8a/kQAPe+/uPilvyYKIIDSX/0/fNXPDcPIq30mAsYTlkemabIsK4qipmkpDRIB+HZ8tvGainuGpKKKLc8AgLz8477vO9EKoW9fpq0w1OjdDw3yOZXWwwCgnfU5+dHvU+5BZwoB1Lz4W//Uc+nMn9qh5JoQXuXqYyDXGDJAgPvf+UvJiZ+B8ipYcoawY0vaYhhRaRMRV9x/fec195TNrktbq9p5CwEWAsA4o5u8kgqmu33UYsLaVfvu/Xntl74xTg3a9/28cpkSCCkIgnD55Zd/+ctfxhhfe+21d9xxx5133vn+978/l2VJAD6BQCAQCIQjkJkv6ExnJiPZ2lF1c46P0tXuYNSJl7jxAifOOQZv67I1lNd6fET3CLFeRnGpzBIzxpFxJyKb5mCMe35/R+HEqc8YANcdM6prbVocx3Fj2Rww8f5PGgxgq0UjC0Q4Grl2mMmQ8pzu4uUpBQai81sq3+dhBvwg0r+rsHtDEOCukhMQwJINd5ZtfaRwz7MJKcf3fU3TNE1rWPnd4v4tX1G3/2Dd9z766vePQU33znn4d7MfviT4w4K2x9ggdWdR2wGnWk8+II35wNQIO5NL9jvFc8x/zzJed9b/FqdTRmYMQ0MDHc2b3MH1gbbRj7+n965rb90dBIHruil24Wo6eJ73H7of9eYW25KVMbiTh1qemNUOXpblMSuYmqZlX3mIYRih22+Kt+ZkfOo785cBAD3YjwFo7ILWNv6sjLkwcl8Yhom6rQh7mUJRdK5ipNlo+ZJTBiqOy7Kh6tX/V7H2/izbnUA4jiva+XzylKrmf1lFVclTPCnKPv17WZb5nMcFhyklWZZNqbzrumFT9Dwv7LQIwQAL9L+puAcAWlZ8JpxY+fztNE33nvDpLFcFQhlnehS/Vz6zTZtX+drD4ZTSv/xwcOVH0hbu/sf9aaenRZIkk01zk89Ulcref1vmcN9M8VEL3YKSkWXSqs8hyi+vdt38PaPywTrj/BxLys8/1vjM4+PcHMlGSJgQUNhjTFEURSX/nx0iQBMIBAKBQDgCIQL0oWQsFsD7Gezt2/3oX9d//FPvnn72uyeeuvF7Nwz29oWzBEGYXVVxbHXZ/KqyY6rLVlQXn1BTsrgqzddmdigcFLrxQj1NVqsQ0Y7P+Hfo/t/eFNu8amLXObb0gwDgum7PJ67JUgDtX7Nx7Gkjg+tZli1+7I6Ke76RmGLHD8R/+RTbVnFGtG9bVfOLdHCgZVKBV9LxFgYEAAzD9M27CAAURVFVVZZlRVGiAlXQ+W5PwcKijh1tl9zRfvHNmOG7qs/trvpgb/mZGKWGmJlsUWzfu4mfWDggLLbxS5NLYgxiz3Aaw6jb3LH55Sz7fvgSBEFXy0YRNxRF3MT1xDFQrAz58ffA2OQNrR/sfK+royXT4rtffGHHScdjikaRyITUZwxLaZrmeZ6qqmmze0mSNLZOl5C8bKYT3hGhPbSiKJPR1ReoMQBQ31u9JzgJAOZ1PDqn4e4Y709qnD7HcSPvHhRFVXQ+Vb/3bhqnF9S06JK009WLvqUX1P5/9s47zo3i/P/PbG/S6XS92T73bmODTTGmgwFD6J2EDqEEQ8gvARKSb0hCTUwnhtASwJQQm94xHdwoxg3f2Xf29X4n7Wp3tWV+f+xZ1kkrnXQFbLPvl19+6WZnZ2dXo5X2M898niHuYpawLEtRFG+rVN8pUgRgTZ0UX9I2Zb645gPf7VcxDJOJ1s8wjK7riqI4zs6udTRN03XdGbGCIJSGP3DKLSArP34IAGySbpt3CQBY/oLtp95VP/0U13bSfAtqTEHxh0uDmz6OlZBRNfeT5/ScouTKBWtfy0oVlfe9LqvOdFev6q2DkH7xnzI/EACQUa3r8Tuy2iVbgkctzLyy74l/NFRXDfKIg/kN5uERz+23325Z1tFHH/1jd8TDw8PDw8PDY/dl7/dP2G0ZcPRNT1dXzbXXW2u+6tPa8leql79S/MKzZVOnuO5FEARgnJU1R5HeLcsyQiiHU3pol5z2lb693EJxx6qPS6vX9l8vG1AGfgJpwJzLG5FM5/wzrb5GBAghjuPozj5Jq6Sqr2sPPUWQ6w1aym9eVVK/os+xAHYc8NvSr5bQerfGBni9S+isqvz0T25jCKlVoaYL7rJsrBIsXTFNw9gwDIIgOgsP8HdvKNrxSqxqGzW5BHYJB1xzLVT2vmb6ykpbeqZPwLviIkcpKzR85F425yHLYTJalevrp5rA2QK09rS2S3nTYoUY46r33tV+fyOKKACAJAlYFgYd1mfbtpNtMtsdDcMwDEMUxQRZRxAEXdcHowITBJGVAbHjyMFxHEIoHA4P+LhpwGKO8yLvpX9tOW/ReP1dhO3yHU9HR185HE7cPM+TJBmJRFwlM5tgSTulO3w0MNG1HCHEnfnX7mW3BVrdDRn6dKB1c5gv67daVlAUxTBMyWcPsD0NyVvzWr5qHTfbX7UWAOqOvTx/6T0AQETCvjuujo6bDidfmiqgXhRFy7Isy4p9yRIEIUmSYRgJ0xhO0k5nhBAEIRm9JhstNUKebQGAPPqAEBMww2EAQAgFg6kWoKT8sHRxYwrAxTMHJVnwO3S892Lxseekai2BnNy8xuC80s5PM6yf2/YZwKHO6/zKse3j95W2rEmuhlOo2P7vPu3cURMcUem2cQjw5xc05xdR7S0Z1qdvvtRe+sFgpny8bIQeHh4eHh4eHh4ePxheBPSPxsByD25Y8mj1QYcmqM8xms+7IJVshBBijOwiEClsiaLISX5X9ZmOqsHcjJIp76FomlbyQnYBX6FR0/qvBJDz+fIBpz/KRBZsvPK+ZBtckiT5vlqDHihq/+U91ozjwwddHvaPZqK9EYg2Qdcc8mcAQAAjv7iD1ru7cyd2Rcu3jTq5seyIjrwZCr8rdk/l8puIqZFanbSi5Y9dSwLGGNu27QxvJy2eHJy2debNvf0HKFjfx8+EDbXGXhcxu4J8W/TyCUqfVfkAsK1qY7+nvwdhGAZlVFEZz0cIrK12rXOk2PWffPzdvjP063/lqM8AACw3JGniBqnIOPuyLOuEyTMME4lEBplqdWD90TRtOGKfexuPRtVRU7TS0QBQ8PQ9VcETCGxQWK+seSQTt5DMkSTJiR+XZdn1dAzDCPkmp2mBTmsr7Dv5xs6yffvtRuFXTzty7RDCsuyIt29xVZ8dmCIOABqOvcxRnx0IJcRuWosQSnWdMcaapsVP8TpOQa6x+bFbZfytNVD3tfOic/oJsc8Uy7LFH7q7ZqcZnbqRaBiijZjacOm9jNzpWj//0+ezmvsJzjk788o+rT6+8dyr/mzTLn4maU6H+/s1w/eZQghRNy923dR+3d9c6hvRhn/ePciDekHQHkOOYRhNTU0bN25cu3bt2rVrN2zY0NjY6Fm+eHh4eHh4eHh4AvSPwwCeeXRNW3vgfO3eB9K3m+bhcLyPhmyebG1E1AsFjVzQZRvGE3x7efi89sgtWYlerWff5K/9LpOa0tp3ypb+xTcgx1jDMLTyCTZFJ5RjgrRpVh07q+Gah8JqYiwkx3EsywbefnxXfUS0LXqEYHaqDyXjY5sI26j86JbYn62Fc4SVX+RvWFH+xqMF7z7n/+R9eu2G6Mb22pwjqspOJb/5PrjxI1ILA0D9Jfc7u7AsGz8Ow+GwYRjVM27CAC3+2VTfiRBa7QYAkxAa6F3+GxhDbodLVGa+8nV/V2iPAWPc07aRzPIezNK4puqbddMm4isvQwm3kY52aiiSmg5SgNY0jWVZhJDjfjAk+s6A+zNgu5t+MQwjdMa1yIgaUgAjlPfoXRgIADBIjsUDNxsBAMdiwsExzk6TVpHneZ/ApjlLDBAsSGccjxAKnHBdR/nc9L1CtgX2UKZORQjlbXmbSBEI7BBo39S+z1G5S+9N3FdXASDZ2Noh1ZuuqmrCQAqHwwRBOMK6ZVlRoveerAbKnRdMeNf0WPJ3q+Yv7f7Fg9zNr7IzTrCR+ydZaN6aUMLWb1IUpem8WzHp0n+E7abvslh2QxBE1/w7BzbKSZK0//x0qn21SfslbyIsY/uK1wd0tIwoGDnKKHWxhclffJNrfe695YOc3MIYD99dwuOnBsb4hRdemDdv3pw5c/aNY86cOQcccMCzzz77Y3fQw8PDw8PDw+PHxBOgfwScENGsdonI8voDD4Hunn5rdrS2ptoUyMmZREdJM1M9qIHLSxULlRfpCOTkZNjOnkg0GpV2uAigaZ5T8//798zbp7pbg8vvHYAXh67rjcdd0XjFPcrEuQAQLRoZ2n9h4xWLd1y+uPHyf3Qde4mmuajPNE0LW7/Gcfkkt51zC4o7OuV3m2YAaCk8IPDJWwjjyKgZ9Rff03bcVWpFb6ylyUsj3n8EAOovvq/uonvrLr6P3bEeEyTHcfHDmyAIhmFM01RVtaXiBHp7vTx6btNRv+qYe7ZcuZ8h5GKSDvHjW3LmK1xJj9HbjR09lQx28TGgzQFmsdsN6enuyhEHIp0UB6OQIoLeXvfN4DoFMOjkqKZp6ro+tJrOgFfZD6u0pGmacs4NQNHK+NnItmr4wwGANUOm0uEabJsGxyNCEASapqPRqLyT9OIaQRCjm58Zs/2hYMh9TQwAtEmzM5Hvcxf+qmPUwenr8G3f99tO5vA879/2cfo6GID/7B3X3kv3/Zb5993xKQRjkCRJ04lTdABAEETCeCAIwjCMcDjMcZymabWB0y3EAoA9c4qT0LXgy38LgoAQQgixzK42bYIOXfhw4JolxeUjAKCwpBSf8ojO5CYc0UZkcHMffwxM0g2X3iv4/DmfL6s//feuGnTw5cVZjVtR8rXse0smO5iITRgMks8v3+ie+ZDZut71ypcse0AbhJ97v7B/WIzTBWEn0lG7bZBH9IKgPYaEzs7Ok0466cwzz1y1alV9fX0s7YGmaQ0NDWvXrj333HOPPvro5ubm9O14eHh4eHh4eOyteAL0j0C2C/EiirJp/hGQJCy6QqUVPvKCuQeUBubm0vuIeE6AmiHYKHuxiTS0SZUjst1rz6Jrk7uQh1OEuQEAYWQXfMrVfR/o2MHzfLbRnYZhKIrSc9QvGq55qO7Ea5smzQ/rhqZpiqKEZTnBhIHnedu2AbCJIzbTq1r2jN2Xm9hn0T1CqLUoMQSysWh+8JPXnc51HnWJrGrtOeV1h1xQd8m9GKGoGHQ28fUbAQDMqFYxBQBoinRWx5caNX6eHtXx4eRNd4+veYJhmGhrNx9p75l6dCcTbM6f0DTz5MYTbo6UTOqgx5Z1vVUprG/Dk7dGD97aUDFS+SyhMwoR3PRNXvjWJ+We7qwu126Lre0Y+L6/uNC1HFcNNisXANi2PRib8t2KYRWgMcYykKEr72Bb6zBB4s5uAEBgj2l7WSCykLRYlmVZ1ol0Tvh20DRNFFPavlMUxRjpPg4YQJpxRobdyF1wReOxt6apULT2P66C7wBgGEZq29Tvja+rdN/IAQtcN5HtTXz1Ov6TV5MnJzRNc50AMAyD4zhH6ydJUhRFkiQFQSBJ0rnOmqZV5ZwVpsoL7K1dh58GAHSoZdT/flvYukEQhBH//U2sqZ6T/1hYWp5wRvwp97Tn7hNf2Bg8KLETtmVZlizLDfPONoWctuOuSu4nrYY6tifGTacnWFjSNO36fnXbxsLDkwsLyspbznTJbUtE1fAhp+Kk1TYA0PNc2pVYgyOvqFi7MYvZXO2DwUZkDyAmwMMjAcuyDj300Fde6U13ceGFF7799tsbN27ctGnTu+++e+WVVzrl77777vz58wcZtu/h4eHh4eHhsYfiCdA/NNk+6ti2vfnEUzNUnwEgkJsYhJUMTdOiKDIM45MkhLN77iLN6JzivTn22YH54jXXciLLy5We/GX3Viy5rmzNazlk1jJZWJblJLkZAMQ4fD6fZVkMw+RGN1WW1fnPmWlcdNq2S+4O//yPyQ12j+gT/1gz8mcFHy+P/Vn+6DWOJ4DPUhHGmKTzN/dGL+a//c+yZ2+qeOqGisd+VfHYr9D2bwAgv2NV4Y5XR6//u7/zGwBgol0T1t9R/O3LdLgt57u3S1q+K6tbWfLVSyOfvwFLef4NX3Su0zo+a1VDUYhGKayFuDGxQ2NAW9omtN+2THzjRQDoenM57PlYlukTBj6WmP1nu5ajkpIBtxnPXiNAD7euZNt2NBoNXfTHaHeEe/N/AEBgiwCzZMdSKWOPHYqi1NQhpaZpJmusoigGObNM/jJ9y1uDP0vlU+FK8cjRkV/8q2XMkakq0PYQeLwAgF9uKPrqmfR1MAB75GVlFy6S5y1MVYf/4H/Jmrhpmq6zes5shCAIsixTFOXkzIxEIizLEgShKArHcZFIpMl/FAYowRvDhx9vkwwCnL/2hVEv7VKf5cLxxROmJ7ePECo8ZlHj+POdP20g/J++m1gH207fLMvSdd0sqHA9L3b5falOORX5FeO6Dr5NZlPeAWwgglOPcd1UfuDhruK1+MXryHSZL/evfW9I7OZTMWK//eUTzsuwsiFIre3tgzyiFwTtMUiWLFny3Xff0TS9ePHinp6exx9//Oijj540adLEiROPPPLIBx98UFGUhx9+mGXZqqqqu+++2zN+8fDw8PDw8PgJ4gnQPzTZhj9vuHsxbmrKvH7WZqnZ1Ee2tW+BuNeIU2lg2lPmxRpakGWK6z4qfPIPmctVaXBC+ZSdGIbhPFd3UeMAAAE0snPZkRPjB0nsKYismFR1wkO9/45/sPydJxIaL3/k6rInf1Oy9I/ljy1ClplTtbL+wHN699V67TIaFlw0uvvNwvo38ppWJOzeEpjlHFWqWRVc81Jg3ZvS9rUA4N/0vrhtVdfI/XIb19G8xK1bhShK5kY7e9VTM2sf+Ip79GG0M2KI+Oy9wV+oH52I4mIwkjnYdNdViX3nDKbZXe0M1PJimBiwB/RwC9BOFK1BkABAdbVvDSwAAAzA2eERNY86H2qKoiRJYhhG2El8CzzPp7F4BgBd15M1VkmrJbqrTb0fJ4Si8VmPB47nC466sOM091xwZSvuGvz93ydJJSsf7bda00FX8YIIACUXXZ+mGr1hdUIJQRCyLLveUWmadq62rusxzTESiTgrUWRZ9vl8mqbVBs4AgHyohUNmRXLK4luwKFY67y+pBiRCqGL2Ua3732QSbHct7ZppkLJ2aZ0GQZuSi/2R0FoT7u5Kc9auSL4c5ohbmmffbBCJFj0Wojrm/IFhXVIOAgBJkl1nXpdcTkQ1w+fSPQTQusJ9jnaoGHXBL7X9Dum3WsOv71p3wGmfhahXt3Zs2bZ9MEf0BEGPwfDOO+8QBPHUU08tWrTI7/cnVxAE4Yorrli2bBlJku+995433jw8PDw8PDx+guxeKsNeT7bhz+GenuiT/868Pnf9r7JWajLuD6vLBxZJrt6aex+kPih90CH8uyczfMIgzGjpA1c5KtWAD0cQhCAIsaWdJEkahkHTdEQJ25EmANhALKBKJyXsFRswiCBIlu/9x7svtCeM3kh8hG0EkL/+/fit7VMOHd3+BgAEutYl79shTnVtk9QVhG1GaQ8XTpA+fF7Z/3iBCCl8JQCspxdaf/4HGeojxCAlnO4q7CGEQx2u5S2h3LZw/ysMLMttZCFkD5Ez++4mQA+Y4ROgSZKUJElRlEgkomma/H+PAYD4979taZ3sWOfrVKCg6U2KomialmU5Go1GdkJRFMdxPM87/g/9KhGGYTjvCEKIYRiSJDm1qUL+PF/vx5SZZd29wvslN78wkuPis0SaGs/zA2vTQZKkkW+6J5SLp3HSyUVTD3BeEwQR+cMjqWqi7sToV2dWwFWDDofDrkNCURTH6iQcDrMsG9KJquCFAMBDODA7sP3wK2yqV7rVL3qI6+8KlFROJE99mG+rdd2a98bDsbB0VVVbzv2zazX9dXdr5n4JFpXbx/yj+5C7No64qCHvkJrSU2omLTIX3JeTny4XZXC2uwM4FXbR0AEg8Nq/hlVBQwiV/+5vyoLT0tT59vYXa0qmOK9NRG6AnLeqWwdsbqAPRQZXj58s69atKyoqWrDA3TIoxsEHHzx27NhNmzZ5ArSHh4eHh4fHT5C9RGXYU8h2mWfV6We7b/C5R8tWnHJytl3K0zNw1MW4MNK+X0XhgOMQ9ziMnIJBttB+7h9y8wuaf3ZNhvURxmX3XzniP7f4JGlg8p/jBhCLT+R53rIsmqbHwucT0KdbiEPpETMyby1cOqH/Ptu7HvUtii3jN6epXLEy5Yp7kxG4cEuPb0zOltVaV2s3NY1qWLX12Xr//13vupC+347t/qRaCeHnIpZN6iZj2QQAhDVeNVzmJKQCFwkM7X+A4+RAEARN03vTp3UwEdDDtGKD4zhZjkuJyfQKlP5Xn66hDwKA+uKT2kuP4xgSkvpvmqamaaqqaprWp5EUOEHQoiiW2jVTGv85uf3ZYGhNv3vVll2Qxfkk0TXvctdy0hyUTof6ey8NRuw8/b7iQ06Lr1gyZnzXeS4+xQBg5+wK0XUEesBY4HkAkGU5c7k8djjHiyMsy1XBCzAQCGA8fMLPH9twxIVtE44IFhRm0hpFUZh0n6xlWmvjx6Se4ldB7oaPmpb9a2AzKAghQZTGTt2vYO5ZZTOPKquc0O8niBMEm3aJj0YAFusyH0lYRsvypwbQt8xBCI267Hrj708n+1DrU2Z/etfrYSrRHl0lmFdqQw3NKVMxp8fTBD0GTENDA8dxgUAgfTVRFAVBaG5u9gabh4eHh4eHx08QT4D+QcnqF6caieD6FEYQYRfNgjzsEH/QZbVsesaNrEiv6DHRyEwRxo/ay7MOJqBVThvM7m3HXV68z/4AUHHwgtaFv8x8RzISKr3/ylHLF+dG5VQytBPf57opYbU+TdO01cWAug3mQMUc1NGAW7ZDNCM/8ZbZJ/Zbx+R9sdfyoUekr8wqLjG/GBGN888V5pYVjDXEEUzD4b8of+T3xsrPLLIcFRQlVDYqx6vX/toO5GXQ/d2dVG8uz+jFOZ2KzqpRBgAkVuVpF31K7XEppK/8lRNUSxCEYRgMwww4oH7wKZIIghiqB2yfz5eJSpuKH2bRhqppZslIdcocfdRE5pn/GIgdV/eoJbdZoeY0Mc4Zyos+SSjpeXfc9vsLOz4AAMrqf31Gq7hP6dhB3cSKy0e65lwt+fTerHylYzgmJDnfv5O+mnLSXwN5Lp9xMoX/PjKN+EhnlmWlB26SHrzZ5+u9O2WYOFFRFHanQ0UkEvH5fLISqQr+oocd7xSOxqvyy9OZpSRg+N3vVJ1zTmLojC5g4eqXrT+eGhnE4M+K0Bz34M3uU92nUQPvL40ow9630srRwWff12fPi5W0Xvzb1RfemtI9DKFVEaZ+QBq0FwTtMWBYlsUY9/vVadu2bduDWevm4eHh4eHh4bHnMpDHSI+Bka37c+PKVVnVH3vbX7Kq70AQxBTW2BB1+TVMmfoYFheU5w+g2T0d5rDT4IuXB7AjRqjrir+XjNkVPlx66MJGXip88a7MG6E7Ggqe+TO/7zFdcxZGo9HYIw1FUaIdFda+Q+y3wLKseOvYmAQTk7owxjRFYrVna/65pD8v0rCNzSsm9QhgDHI3iDnOA7wh99BSH98GbNtmaw3L240X/Z3b9LmNIf/Ll1z7GSkYJbbVAIDJ8AXdX6U5o3bf1Bz8cUJhd8VMYYxYaa10/iyOrg+rY9rKZ3NV683Dj8MFvdm0jNET8OGHFvqbFaog/Mk31r7zYM8nN1gEdkovkaDYuymsiZEoW5yTuAreNAFdcAEQRPw/JAiR8K42dV3ned7n84XDWZuW6LqOEBqMgjwwjTIZhmG0jFOwujJMdiIJzZqmKV/2e9xQy+2oYt95YfvWwnEzuycqy2qZuTouH8yBaJoe2f4CY4er/UeNCSUmtXOlXZyRM/vcwRwUABBCct44X3uiywetdidGf2fWWvHW93JqP01frbNkViDovvoEtze7lnMr3zX3Odjn82GMkWnk3PLz3g2hLkCUrutsCuPjBJzJAFEUFUXBGIfDYZ7ndV2vo/fTkK9IWwsAHA61t7XkJ82NudK68FcV/3ExG9FmHBYTTxFCDJUuQp+wTPrOC5QbHhfdXGWHFmHB2fCZy7de3rN32BRDmC6TXj3vvyycONiR1i8URZXffKcaiXR+8Mb2kdNaxP6v/+oIw3V25mc/JY8x3pvWjnj8YEyePHnz5s3V1dUTJ05MU62hoaG5uXncuHHeMPPw8PDw8PD4CeJFQP9wZBtUGHrgocwrc1dcKg30ATU3ENgvQAlKlxMKjWxTkjvGk9rckkBBXtbPb3sHOcFg25E/T7UVI9R05AXJ5c2HngN//V/hmETzipL95mt5Zcn104AAfGveLnvixorXH5IkSRAEP01UvHxP8WO/83/xcul9v8x7/z+x0E5RFOU4nEJd10mKxr4xZk+n1VQjMjTR0xbpalebdyhtTVZzLbTVAQBB0XZUx9gGANs0UO3KMev+b0rTvybMOWbs5Gnlp16OZqUMbdaCvcpay6FnpX+W6uFGJZQ0HHJ+0SjZZ7U4f4bIEgDQ+CD/5QqiaqOlyro/oFxybe6i40cszMcc3/HUF/rif6PmevrFJ3S1n9xruz9cCpftBPy8UuR38WANvv9c+frXy9e9Wv7Ny+VfLStf81LZqheTw2lVVVVVNRYvn/DEm0aZpWl6MOozSZJDFUtI03S2U3cxRFEURXGYnvOTrw/J8WxHs3nYic3X3S2teHkzOgwAwkTx4H2oMcECwCgzMdteKtC4E4fkrENz3e+BZR/fk2FYsYNPFERRlOr7sQ3BgJgj3H0/AIBs2OZe3ljLvfUs7mpFCAkvLYmV+++5ged5J94ww37quh6/iMQ0TYIgotFoBzNZI3u/ClHtqxm2NmqSewR68K1/qjvvYAihohdvS98OYerEQ9cOdzpmZPVoAAAgAElEQVRNAOBTJ8J1VZ8BIOf9pT+YkwAvCGULT+sUMl0B80kXGsBFy9YnzcPDYdasWT09PYsWLZJl2fVDgTGORCK//vWvW1papk+fvtckWvDw8PDw8PDwyBwvAvoHYiBL2rVMFRxi0sTJ11yVdftxsAwzq7IMY+yE/yA07MFWuz8lC86s8eVXLPtHQnnLoecWLzijgqKsI0/uqKmS25pJigpUjvcF88tTOGMgguB/85D84O/Euk1Z9YFUZVKVy+6/Ejt5zeIQNq/0Tz6gI6eUoijXZ2aWZXVddzYlS3iqqvp8PtxWT+aXAUK2rnE7VoyQP0HQ++BUv2Nb+YjRGOPgQ1em6h6x0w22oicxuhkAMEFuLjuXj7aMank7d/Pn8ZvqDr1grNUnFtJvNQEA/94r4bMuG1+wvjYnb3z+t53CuKY1wH74BWt/ZuYXY4ajqzcBQOuNv6y458lUvdojoCiqPULlCGaqCrpJ0aSlGYzAuNwHhJr1CSXhU65SFBdnBtM0BUFwguWdNGu2bccy2g3easOB53mEet19CYKwbdu1M9nihKMObF+KojRNG6oTTCa5ZVmWfXMPZz55w7ZsDCD+e4l9/oQyqO6gMgqYdUUQhKC+mTXbAYACfbtv3ohwP0HEEarAl9OPD2mGFJePdC1nlFYS4cxj5JmehtIvHu63WujM+3wpNFDTNEaUd2yZcV3+M4uTt7Kfv8V+/lZCITINkiQRQjRNZz4dYppmzDbaMAyO42ia1jSt1neCIG8cYa7ONavViMILie7DyRAEEckpZHsSvSD47etjIeQkSVLd7pHd8TCh9vbl/yo85bIMz2JgdLe3+VJswgyH3LybCMuIaho7uLyUWeHHegfK7IcrQqu2New/tiKr9j1nXo+Bcdlllz388MNvv/323Llzr7766jPPPDMYF4Df09OzbNmye++995tvvgGAq6++2ouA9vDw8PDw8PgJ4gnQPxADCOLDGUbiMMyMF5cOyW/ZmITk4VB50BH4wMNrNq2nulpMMcBK/rKx42ORzCRFFY6bVDhuUiZNkRSVc+3dLXU7+Ofv5Jtrsr3KrvXz/3dP9JqH9Gg0WYCWJKnfNfLhcFiSJGirM8WA0VI7Ue4jIpdW3ycHb7UNI809wtewySbp7UdfjjkesE0ARtjGgG1GGBd5j7GVnK7vA2xza9n84oL12qR9qsQjA9vWYJJKUJ9j5J4yM6h9ZWPCbKra/sRGUlnJAQCAPn0/6ru1yOyVa6mqjR31dXnl2SkLuxsEUwxQn1wuqygczWPIqGFRQbEnuUL95p4iu4/6iXlRGzcTUmi1kUjEGQ9O7juKokwzpfCdIZIkOfqj8/9gPJrTMJioT4Zh4j1qhhxXTVPXdfugBahpB7wFVHtTM30aY4QFvT4MOcmV00CSpMDzPq2quP3D+PIK62uVzOWtrlQ7YgB9xlVD9b2OEKqdcd6ob59O3lS+4q6a+Tdk6I5CK+391qk75Iay3JQLblq3bhgB9oSOV1rOP5t4YTmh71oDYdMMYbh/V/JvPmsdfWa2gzN+1GmaxnGcYRiRSIT0T4XO1Qig8/t3y/Y5KZN2tAv+yt57afKmwKcvRGYttG3bMIzGSxYDSZUuuSb9l0Lemlcbx+9bOnVWVueSFXhTyhD19sv+VvDA9a6bohFlaAVojLFhGF09IZoi/T6fM4uAMZYVJaxEKMvMfOVeE5Iy92CJYZrmUDkIefx0mDlz5tKlSy+55JKNGzdeeeWVV155ZVFR0fjx4wmCqKqqamxsdKrxPH/PPffMnTv3x+2th4eHh4eHh8ePgvcj+4dgYDE19L6zow2N6eug3MDUFe96S/mGD4TQ6MnTAAaVzitGUcUIuOEBXdPg1p+T+hCEiOasWNpz+DnJAnSaIcfzPEEQCCHbtqPRaGXPW2YLyjHrAaCFnpxr1vTQFX6jgcEKfuMP8szLk2MpMUFquaVdUw8OWLVcIDCh/vn4rV2VB+TL1QBgAVXQ/AVTntNBTAYADoenycugMN3psGZoQ8/+/v88QF95pHnHY+TVZwCAPmMO/dVKgD5nJD9+f94td6a/OLs97uoqz2KCDLsGPjsEXv9P/J+Y5TsW3aekNXqWZTlmBj1I9ZmiqFj8piRJAzCYzpBY4PYA+AHm0liWdYwUJEnSdd2yLIIgTNM0DAMFCtBtT4t/vRo/+KT/8oPInvoO31kZXnaWZQUyWtr9Jht2SdpJgE1wdCcxKULm6yCxVkjS6xhL5q1OBGAhum3y9UEpVRjrQCifewy4CdCUHgrWf9lSNDuTGHOldHrBuhfTVMCIKJ04M12FUJPzoqhtFT6stFad6v+o160YMxykEKDZle9ox52byWxcPKZpOoqnE8vvREADgKwo3dzkgLaxVPuyqW5qScXYfpvKLSzSeT+thhLKpQ0fSzOOwP58y7Iiui6wRO2xvyr54gUubTR00bN/VG58RvQN2/qkbpch55BKfQYAUwlB3pAligjL8octmomo3l+nXTJtG6MpvcoSbEQAMECnyN6GsUtaQoQ+res8fExxVncDT4D2GBhnnHHGuHHjzjrrrOrqagBoaWlpaWmJrzBy5Mjnnntuv/32+5E66OHh4eHh4eHxI+MJlz8EA/Mwzbv8kvQViJkzZnz8gZdNe4+D5Th885PyqCEQtcO5xVR3c8LTtc/nS/W8TZIkQRCKosiy7Kh7W4QjdEIAAANxebWfNHPTmZbt27hDLWB4vZ3dsNTge4M3w+VTWg48uevwhcy0/JxyfVT3e4FwdfIhYuGZm9mjDSYHAKKo/+XqAGAB3XnPG/7/PIAB4PMPrPpaAIiOnUx9uzpBfQYAZuWHP4Ap6rCSqv8kAWnUZwBAff1Yka7m33Zxv568g19aznGcY+IRk/Oi0WjMiHy3AiE03F6uJEn6fD5JkiKRCEKIoihH9WYYRhAEWZYjN91HKuG6FWECGxzHZdImTdMjIx9Wtj/LmimlQA6H86zaiuiasdEPK6yvcqk2kVUVacSW3J+ZB98WzE87w5M9lmXayN1ZKG/TGyKT0U8IC/cj/zVPXJheIsxp+yb2GgFU8usjF1xqMywAEErqKRCMo4rsZONM0zjP86Io+nw+URQlSXK+Un0+H8uykiTFFHaMcZvQqxwV1/+rvmZz+pPiOI5l2Z4Tr3HdWvrsH/mNn2GMLcsile7Cbavaz7i5Y9Zx6dtkbztX14bNAT8npb1ydNTklJs6+w9vzxAlEnmv1TD7OmwYBP29Ldmov5GWYvyECP7D6sZsvyz29C8Xjx8FgiBmz569bt2611577brrrjv//PNPOOGEhQsXnnfeeYsWLVq+fPmGDRv2339/MoVXm4eHh4eHh4fHXo8X5fFDMLCHmdJRo9oOO8Rc8ZHLNoRybvvL6IXHebHPeyicIHBX397d0U49chPX0TCwRlr3O770u1fQdy/Th10ql05y0m3RNB0OhwmCkCQJACKRiDP8GIZhGMY0zXhT3RzoKu9e5vg+a8inBiZXqCu7C0ZMUl+v5Q6ogMYceRuMZ7t88wLh6jxoy1PaoL+4bQ73hvuN3/h4T3CiCG0qkZvJ6WzzHRa99ZiydS+Lobr2GQeLde+yC8Y0vleNUoRYWqZJ7MmzLzSTRRq3eAjDRZ6OLVQHAFdz3kEK0I4RgWEY8RGv0WhUFMX0E2xOxwYQdj2Yp3SO4zJ0hxgwjvGIc6njxW7LsnRdlyQpLMvw23ulO66tOvVfBO7n9B1LE16vl/TaAXTGZ7eN19/V4eAB7Jse4t9XEThljLO/akWofF6/jei6rvtK2HCT61bFX144/4z0LVBm4rtZ0fyBtmBqc1sBU7OJbd6esofP/EO77JZIJJIqoN5xQlfj8pqSJOmYNsQi3GObIqou0+WSUQ8AZc1PbrfOGzl2appuEwRRMvMAdblIJa13sUlKWvd+ePxcAIiKud2HnW+ZprrfcfX7HUc2bLHLJ5Q+ughZiZ8sBAB3XmTd/PRwaFho3PRUmywppau4pSTGdw+YTxvCQGZnl5EJ3aT4wdaWI8ZmEQdtGEa2xh0eHg48zx9//PHHH3/8j90RDw8PDw8PD4/dDk++HHYGs+B9+gP3sr/7TZ8imuZu+u30r1aOPXGhpz7vJpim2bB9a8PWDfXbt2aV9CyQly/+bkljihC59HROO7S4+n1HO85f8eioZ66vXHqD0F3vpJizbVuWZUVRnKXEkiQ5JfGqHE3TxZ3vOC1gALNL8yl1WmuUaqlXW6PF29+P1cwNb0Ep/CISsBBFYgMAtnIHI8ChvIkAUNi9tt8dGwNzxzFrpvCf++cUdh92okpLbNf27/e5HOkpZURsD1d+uR8GjhugcWr3/sd1HHp6xyGndcw/rWP+qZ3zT+2cfwqsXSEIgiAI0k5Ylo2/RQzGkoJhGIqiLMtKHt6WZTlh0cnE90GSpKwkMyege8B9dj4CA9s3Q5xLkUrWl2VZkiSZ5sK3PU3sqB3Z8UKq02cYRpKksW1PjGt5pLz7jQH3BwGu2fLdgHd3pX7jV7SRzgUlt+ZjKUXawARa5l7sWt5aeRh39u39vtEm5RJCzkW7+cnl7GH7GOefk3P8lJzjp+jnnZ9Qh6mvBtu2bTv2TjkeMrEKgiAkBMtblqVpWsxbRlGUmBZp23aIHRerWdH2dNNXz6ef2mFYlrzxKZwUwIsss+20G3PWf+jz+YKfPg+W6UzV6LqOiyoBwAiWuDZIaXLP0sTUuEOCmNpJQ515SKpNXNmoITm6aZqRYVCfHcIkv6Z6R+b1nYTMw9QZDw8PDw8PDw8Pj58mXgT0sDMYARohNPXn59nnnQMYG4ZB0zThrd3bnejq7AhsfIC3w5U7S/B2aOen+Pe9IEPtDCE0Yv4CfPAxzbVbCx68NsPjhkZOz6/7PPEAiMB3/Y1VwkzZSOvmO23bRggRBOEogMnjkGVZ2ur1Uqjn9hVD1YwRAgDn/4Ghs0EGMAAU1HwMABRpaYQ/t2cTBPsRW7vtkhKyCgEQCIuMaRT6W+af5fvNb4yrbiZffY7YsTV5FzKVGegeAsuy3d2kyGUno7eGeOmlx5PL5dufcSQu27YVReF53lGNYwHvvZJolgnZRFF0RnKqHTVNc8TlBG065hMdO7ooioqicBxH07RlWbFwVOcQzlGcsOJYPwfQYYfhNoBGCPVrrOScSCQSEfOK2s3KhK2SJLFmZ0Dd4OupTo6PVoig8X0zp7QyM0cQmc39AMCE0H8NSBnEOgBKv/hn/5UyEPotyzI591mKaGBEJm+WnUKalEfMK9n4dF7bdxgAAZS2f1599lW5Sx+MVUAAOX+6AP70ZFhRSJK0bbvMXB/s+fb7ggudEdjvPC7GmGEYJ+ckxlhhRsQ3Xqx/bX65ITrtBlFKac0s+XMar3k4577L4wsRQMm/f9d44d1GNBqecwKQlG/tW/KsY1iW1aJROxxi2lIKpjkbP25rPKegtCxVhQzZtKX6pe91JQosCQsqqVmTKnV/Hh1KtH/BgGwhpbE4m1c0yG44NLa2A2TkVDMw6smcsd3duYGUodwJOBlWh68/Hh4eHh4eHh4eHj81vBDa4WVIgmgIgiBIkuU4T33efcAYN697u2j9bawdjn9IRQAF6gbrizvsbOJzEUIllWOJO18NjZ/T74iJFIzM7dmc/GS8bewJRLgH2TZRV0NfcTp75Zm4rR4ACIJwV/HiVtaToa4cN0PnbLEoAQDCZJEQacaAKiKfK3QhbWtWf3NdvNGmgyTbAQDQwSeZNSOoDQgw9dT9REOtS99Jai8wUjRJ9yDHVOgGEthcuiCXLsilC4N0UZApyqOL8ujCPAAIh8PhcFhRFIxxJBJxXsfvHolEsrVsRgjJspxeBXby7yUUJmfxUhRFFEVd18PhsKqqkiSJoiiKoqqqsiw7nZdlmaKo2OEMw8gwwDbh0AknPuQwDJPJWodIJMKyrMYKct6BMRtixx5ndNu/R3a+lKNuTlafZSKf+Hq9GG4gbWMbHBC/CSe7oceRuVSdCbquU0b/l7Hy7d9nkocg1VchpbRm0plg1wbXcoQIZEXB8aYAAICxXW/pxSPi62CSwggRBMGyLMa4h5/cRVXERqyu65lo0LHXqhZV6D7KLwXRfmcjSkeN1oOJejER1Uofuw4hpBIM++UrdM23ZUuuRthmGYb3+aP5FWka5F68c8C/LqKGsbmm7ncvbXh8nd6jg4lBMeGlKvPmV6reOOZmDEkzm4DzH7kpVWvUEN2HdWNQyVEz4bOOLA4x3CbyHh4eHh4eHh4eHj81vAjo4SUrQwaPPQXbtpU1/xqhbUlVQTDbm9a9mjfzpKyaJQgieNkfbdturtrke20J37Qr7NdieLV0rFT7XaR4tKS5eEa3jj1YePKh+BL9tHMmGq9ttS8OR1wepCmKoqxedamFndTDjihqWxlfwSJolSsCADHSgNKpXrvQxBKMCAuodnqsefBJZSv/QSBagfwgQJQQebsnzb6V6meYz+MIvMOaEibGTcHLnXIku4djm+NSJsXag8jPL+xsbvHxGSUpNUzE+KcYXR1k1D0LmSiKmqbFW5c6yppt246bLUmS8YHwJElijNNbVWSygENVVSddG8bYUX5Zlo031Y0R04WdSOd+jxiNRk3TzDYO2jRNnuctyxomCUkQhAy1P9u2nZUrzusgqwNBF4Y/4uWmhM8UBtRMToyGCL6nPrd5day8/Jvn9X0msLj3utXmnxtFPADkaFuKwx8nHzEcDvt8KYNVs6K7vTlDjxiGYfq91KlEXra7Pst+9YHSOuXCfXi5zy0R9Z38a7riLwKAIAimaVIUBcgOmttbbStHoDCgSNR2kkamOUr89zhFUTIaJRp9jpjJcOhaeHXxv2/ssxeA7i/iIt3dBMdQZNdpv7U/+2/pY9c3XrIYALWe+ltCj5gUU/GvRcnTjULLtnBHuz+/oP8DxxGNGo9/tGVr6jvxmjagz7r7uOd+nXmb5BAZ8ZumkSR9DzEGojq6uvJyM8pJAF4QtIeHh8fejeAHf7p8Idi2AQA5P2A4Eexgpi0TwymwcJku5QFGhKQUFCnBAGxONv0Y9mnjHxcLY9XIVMZBCPEUQXi/GTw8MsAToIeXwfhveOy2dH/zYnFq9dmhJPSpEj2Ozv7hnCCI0glTYMJ90Wg00tNt2zYrCKLPzwI0vbgkv+ajZDkYAxgvvREv8GCCqJwcBgyjGx+rKrtClhN/f1AUVdbxcogq9ZuNkagYUL9vrzw436gCwIAh1MMrQkXRlncBoG3s/ML2Vf12u2bWDapFsCxLtL4SsBpbouNqxp3J5FWQ3dVbZ9xU0fh0vy2EcEEOakVc4WRjecjO61AL1WNPE978r2tl8sSz+m1wjyBQOEXp+JZj+lGwumUqr2QqQRBh26UmRoT91Upi1lwAiM+0FpNuHVU6poSyLGsYhuOEG/O6TcZJPJjJWei6ruu6z+eLibNDMveGMaZpegBuzqqqxiKOBwNJkoIgaJoWfx0QQq7p7FyJ5bjz+XxktLWi69P4rREi2C4X+RvXiaH6fNjm0gHbaIhUlvHVbfS4UuO7so7/tfsPoq1wgbwyuTIARLUIDJEAbVmZBtiWfvZgzb6XpB8qdCTR2MFBzxmUjwQXrm/zTSiA17oCE3K7v3cKUd+Oc6rsyIiOXYyBMQBMbOv1sWn2HxJGE1zzdvb2nKbjF1uYpkmbnQl1iAyeOEZMmaFDH4m1+YI7TEYof/Ra87L7yM4mADD9+YAxIAIAhFWv9exzjK5qjZfeW/aoizuT8eoSuPD3/R94J5Zl3fnWlp7+JmW+aEbkGXce88L/y6RNk/dxFAUAza3tn1a1Rwybo9C8cXmlRYUA4CQkyKQd27Y3o0x14UxA2E723QaAlR3msYFMZWXLspJXcnh4eHh47CXoMkS6Mq1sSqB2Z1o5dfbmwYOMdAE9fcjqKwwhMLNxvSOH0TVrd0Az7Q0dSoY/hSkCTcuXWNIToD08+sf7be3hkR1t2zeVyav7rwcQaq7KGzFlwAdiGIYpKIwvKTj5YnzPZ8k1O0cfQHzWR6jVz76QxTXgWIL0fCGTic6wNEWxZqcTK1uCttCcSkZ79aNmdpol6N2+MUXwLgDoRP8eCE0TzlYMoGmS1rtDqt8unYYodrL2RnPLeN5W6I5VWCBNzGyUThirfqChnKBZCwAKGeSt7phvQHN0VA7XKuJmBKB8VldUvQwDNP/iYvKpx5KPWLD/vH57tUdAEISUP7Nxx4bCgLsyZNsQMooLykqdP5NlsvDkudrajfRDd0bueZIXJUfxdBTSmM7iONjquk7TNM/zsiyTJBkOhymKSiW9SZKkaVpWOrJt247LR3wU9iDRNE0QBI7j4vNnZsLgHVoEQXDOKP768Dyflb8Hx3HhcJimaQZCAa5zS/SI8dr7ANBFjtAaI/kNq9OYsNQs+BvCVtnHi40pI0uN7wCAwWppz3tpDzhkmdNIPeXMRAJsqEGEaHfa+FWhZZNruc5mHMjjRiR3HEfxGCCmPgOAWVROtzXE1SnkTZOiKIIgDMNIMAwpDH3aTo6SJCl5JoYkSZ7no9FofHy0ZVkW5YOED2sGgiZN0xpJI2uXTE+1bjfLJyFsly+5evPZf/WHOghNQbZFhjpMLaLOPYGrWkuOnmmmUMYDVSt1TWO5TJ8A126p61d9dvi0laJOvfWIl/7Qb0152kGsYTz4flWDHOskXt3cRqA2lgTVBARQIMBhlcK+kxJt0OP5als9EClNtAeAq/oMADpBr9rWOHdMRtMevSHzHh4eHh4/SfZ8NdHLpuvh4bHb4XlADyNe+PPeB8a4ZPsTGVaOdm0f2qNTFGVfvQQniR2hLYk+quNGN8Ze58rfJhvpImwBgEb4681JnB0iYZcsEvj2/cItH0xYuzP/mJUu/tTg8rbO+X0rWczzfHFk7ciOF0rorZQtEwRRU3xuNDidx10Ub/F2NwXR6fJLgtXlqM8AIFqdKM61drzyNgAEzU07vuFzqteAk6fr69d8h842K/qIF9GTz2PYvWfiHSFUNnIq5qc0dgqt3Uy3TLV2M/XtXKdWaDGTmMA+BYWlscoJi+4bFv7SeO0dqrEOAMzODoSx06AkSY7QnHAswzCcQkdZtm1bEATXXhmGkfkdzBGdHb3bMIwhXLfu6OkZxlHGY1nWIDXoWJhzvACdbZu6rjMMw3Gcjn3cW69Xfv6vxrYSeVOPuPqj/IaU81itM86uPeYvsizrhkVp3a3h0lQ1E/AH8rLq3gDQxEIbEZrQZxyWr7g9jVs3QgineAcJKiNTcpNwWUqCgaA6qguqX04YbdrEPvNtpQ/81hk/FEWRJCmpfTKaEmCV6WuNUGvyrAnP86qqJriLkCRJ2YkzEAybUbj99lP6WHBYiAx8vBQAor78iUtvDr77WOfMoxuueNDifSWv35fz+kP2uNkkSWqaFppzgmuDXW8/m8lxbdvGGL+yOYuJkw87xM/PuDXVVgzQcMxFX535pxUjj779zS1x6vPOI2JQzd6arRF4fkPkxv9t2Fxd09be4XpXaUBppjnxSK0luXSM2uS8ILCVoUmUQyMSaxubM6/v4eHh4eHh4eHh4TEkeMEdw4gnQO991H7/7YSMM30J0Yzya2UFy/H4ppesu84jo73qmMkI3Gd93GBDN99NwRuxPzHA2IZHtpZfbhiGE0ZKEERl05NVwlGjq5bikpEQN0UeRSJp9RFcaDPRbSCcN51V6uumX+WMcE1WJEmyLCtXXteSe1iIH6eqqtUbTsjoJeeNa/xnQguxw/WIUxqF/Se3PQYACDB0dLZ+jfPrNjRc8UDxk78jNRkA+M56Phe2HX2d+MS9yLZtXhxx8TUDuni7NQzDjqycmEE1RpMClNxt8lKnFRTuvS22iY3IQBDQ2UEE82RZzsSnONUaeYqi+r19SZJkmqamaQzDkCSpqqoTZ+002++hM0EURQBQFGUAfhpOnsOszKOTIUlS1/V47+xstXVHQHTW8tcf8pvyj+4qqPs8oY7mK22edw0yVJviACAajUajUVB6Y9gRtsu+f71pzsIS0z0RXzzZJplMg8W6W3mEcscEAJs5ZRBpixUijItWP6FNO9t12GCM5bJZeRtfi5VEfOU9rYS0eXXg67/bc47ud4KhtXR+aX1i6DcCu3zr/3qkUYm18/u4NBK6Sr+0hGur1y++hSAI1kw0A7EMfVz9UzXTb0hIX2nbNkVR8YsAEEIii3L7ZkQ0gMlwfAYKi2Ov1fyRVsVE3+v3WzTXNuPo0s9f4Nq2O+sSRFG0Kbbn+CvBtrSoIUlSeNYC36pXk0dewcpl+MQLU43J5rb217YqEbv32nIk6NmsCX6zVeTP/es+z9wMAJggQxP2rTvw9DXtRK+FtA7gIgunxLThsW8iABGAZgC4fl5hSfGuOYy0tyq0nStKLt3KlwAAia1SvRNzQiPm7bioZ9Y2oohMFQf9tcZVZDZBFfNw9/Dw8PDw8PDw8PAYJJ4A7eGRBeNal2ZemYCM/HOzBSFE/b9n6jd8lbfiMbanafvUU4UVt8e2YpqZRrzV+xqgnp1dVLuCwJZdauu67gglGOPawnNGf3U3ABgk10xN6qDHjV/9ELitiRC6t8cvQmsbeWx77nSGYWLSniiKzuuq0ktlWYa+kp+maSpdKBitTn9sRJPYaM49Kj/0JWXJbf4DC5TvdCpXZctISzEpP85rbVhwSeHzf3HU5xijVz+rz5sWOf+PgcLin3hiqPDPLtfbW9mHFtPQJ4Eb+/c/2b4cJIetJc/zPJ+hT7FhGCRJxlQ2giAck+gEowlRFA3DcEIpEUIkScqy7JhjUBSVoPOqqpqJhJ0eJ/bZmTLJ9h33+XymaQ5ynHAcp+s6xphhGOdcfD7fALR1giA4jlMUxaYFuXSm1PgNANgUu+OIP1BqF7IMmQ1GeydsZJqm46+baZpRqZCRW/NXvVY994KxxkdpDtRCT262YD0AACAASURBVBqUn0VfAvmFruV5TWsRxozSBgAmLVJG7zgR2qt4jgunUPwdbR0AdC63IWduwVtP7Qx5xc1PLS69sJ+sd1pgDCQJ0ADQMvZkX+s3CYWkneg0oc89yqwYQ2OsaRpp7/JysYHYRu4/esfLAEAaYcoIq0TAmZURRdE0TYZhYtMqBEEE2OiorhcSGu8mR7lfqSQicjjmc8xEOgHA5P1gm8ENHzbPOan4y5cIhAiCIBBqPPtPjBoOfPxs5xEXEUp30bN/DI2amVObeKYAsO2rlWNm759cvn7rjg9aUPwdfWYZ81FNdmk5/9fAf7TgH9069PqBb+2nfub849PW0f7WCw4ePUivdguRdVwBQOJKaZ3oRzX+rqZ+5tiR/bdvWZ4A7eHh4eHh4eHh4TEkeBYcw8WQ5ODy2K3AGBOQxdsaYtO5Xg6S8imz+KsfhBv/yxWW2Uzc4vHrr3ZclWWysC1SWrrtbdKOArYd6VBVVVVVNU2zqN7H/pH1b+o666jPrkg922PhaRF/ZVtgWrwpKkLI0ctIknQNubVtu6Hw1O9LLt9cfNnmoku3FF6gUXklXe/SVlilC4CgOsUZ3/t/1hY4uD3nwB4cDB1wkgkE3dVniXSkeEzjRXeFZh4ReGSRqgwqpnUvwNBM9qHFLhswVg89Nqwx6ik/y9yzwjGGdvwHOI7jed4xhk6uGY1GTdO0LMs0TUeVIwhC1/VkoZkgiAGYZiTA83zM9zmr1hzbZVVVE0KnEUIURTEZ5wUlCMI5NV3XRVEkSTISiWRlAA0AqqpalhUzJ2mYeFLDgVc3z71022G/DyuRLpvtRFK8yYOj78f3ofHg65zXI1c+WUUcnOZYwuTTsupbegRBsEiXa0VaUXtneveY+uzg2/5FqtYc4b6tdH99ZVXBW0/Fb8r58s2Gzf0EdwcrxruW03oXgRPn+WI3txg6zSmKQhAESZKCtssZqYMeM7r+Zed1yZb/UHqPIAiSJAmC4Awhxyfd5/P5fL4KtGVUzzIA6CD6CJdWcbo3pU/Njl23tXDlbNM0W35xG2EafFdj0arlCDAADrZvA4QMw8A02zPnZwX/vS3KSqFZC3glMfOhw4jldyQXtnd1f9CS+BHepnOjs8pvDwAAHRpknI0yO7aF4JbXt721Zouu6z+80+YOJGWyRsTDw8PDw8PDw8PDY6jwBOjhwjCGJfrV40ekp8c977CVYiWBWOwumgwhBEGU7zu3bPnH7OPL9SNPMMZPqWS+iSJhO8zkd2zM61rnVLNJxjAMn2/XmnpVVcP5MwCgIzC1ePMb7q3vBKPepcrNk85PGNg0TTvymcCzNHYJubVtOxwOK4oSiUQc+bsm75StxRdsKzynJnCCs8k0Tdu283s+N5hSjHFsZTQG6Jh2WMMh55GWVvbU/yv85FnCjDIPXP0Tn93xT5+VXIgBQmdcaj/xbxQOAYC++O8JnrwkSdI0nazkYoydqGdJkjDGjqWGoigJu7tec1mWHevnBFWXYZgE59wBEPPtRQhpmubYcWRCLG+YbdvxYq4oirZtpxGgJUmKnbUkSbEQcsuyVFVlWXbAqrppmk4cZTQa7ST8bXSBqqqpKsf3meO4kW/eFPtz5Jp/N1OTXffa7j+OYYYs96ODLrqH9qo7y5tGHR5fnrfxVde3ySeJwU2v7xh1LPv6K8h2GUg5914X3Rlo7Irg87uKhcG6D7lwfUJhZe2yhMr5Lz3oXH+EEI1Vmeh1ys41amN1aCtSUPd6jv49r24DAGdKhmEYnueRbYzteDJP/dqpGbD7HJHi3L1Kkql47Z7Ya3neaSRJlv3zKsIyAICwTQAoW3JN3pv/JMOdFEVhitGFQMvpN1MUpcxa0DPvjMi4/ZLbRJaZkJ8TY/xWVbdrB0YFUw5+H/3jZFt6v9b4/avV4R2N/Vd1g8ImctOREcYI2xQ2AYDELkPOQqSuZ3SP8rzUPDLh9NNPv/DCCzs6Eh1+PDw8PDw8PDw8YngC9F5Fd3fP9rrGHfVNXmjPcKD0tLuWk+D+gMpKw54QzAEhlFdSWvnrP+T95d7taDZRX1fe0Ge5OmHpEmk6IqNTYllW2+gTI1yRv249gftxFXAEaBtRyeOKYRiMsSAIYxsfLW97Nab9pUFV1Z6I2a0RepzkpChKU/AYEPwENopaXu456Qw46WDhxKkFY/TyT5/hOnfJE7QaCi29u9+j7MUECwtxgnspQqHKmejhXWHs9icfq2efEXu7fT4fTdOWZbmmHCRJ0klOqOu6ZVmRSARjHIlERFEURZHneScs2rUztm074mxcX4ZAyEII6bruZI1zguvTKLbxJPg+O2cBO72YbduWZdk1XZ4gCKqqOltFUUw4nG3bzlUa2Ok4sn4mNRMioMHxRt/1GgJr34sQuQl71fHzisYfMLC+paF9untIta+nN4i4pPaDhE2UpSVVB0put1Z9a4+dY4ya5Nogsu2uZx9I0xOCIOrHnNJ/jwEAgLSjHT+/weaE7uPO6zngWMsXoNubSYLAGJumqdGF7b79bSABgAKjNdA7nROlfAjjAuXLPG2dr2eVM+CdgZ0fWR2fLjVhHUzu1gczmW5p2rE99laG9j0eIVT2SB8ve4vmAEAvGStTvDPVQTJs1DAKl/6f/4v/RfIquo64ILlZBNC5bmWfdiyr03R3N67SOTLFpzNigo/pbfCHZ10HdNc2JJdXav1kCzQRlZyVFwBG6q0YESaiAMBC7lfjsx3uX+gJ/MTnOz0yZNmyZR9++GFOTvarDDw8PDw8PDw8fjJ4AvTeAMb41Y++Pf3WDy68d+2ixzdf+9imU/68YsmyNUOVCszDgSSz+LxEyDyOdxH7hhXJ5y9t/AAlpXRCACO/Xly47eVA42e71DeEmqdfZgl9bGPr5v92y2F/qj3mbzVH/SW2kt0RoBumXJQwohwHBgBQVbU5cBgCPJghJ8tyOBwOKXpL0c+K7U2C3YUAWhqCyTVzNn/W2dI04APtBeiXLIq9NkaPDxk8sWZ1UiUdY0xRlOMn4MiviqK4atDJqrFTWVEUJ249WRgFAIZhknVVURQztJ9OgyiKjteH4yVtWVYmQ0sQhGSLDKfbjv7ulMiy7PP5HGlbkiSO45x4Z6eCLMuKogy56pQcVO5KqrSQMUhL16s68E6d0AayoeLyginHDIcxulQ+NttdfDtWJuR2I0my4LuXIqMmg2GEz73BCroklAMA8cs3tbRzDMFph6fZmkCpsqb4olnjR9WO2ydccv7UgivmBUNfOgJ0mB0TJXNUprcb+UKrSbAAwEa7iIoSDEjAXcXWBme8hcNhAPDrVfGNJ1xoEgz560f77ZK+fbPzAgMKzT5W+ua9+NDd2Cu2qZrjOMuykBnNfeOfI5bfQfe0ClWrMcZWilDc3PefiP+zuc3drMNhXF+b8Mtn75ySxBCK9unJD8zGThcNuoYrdq3sTtz1rOWKAKBY7yzRU0akhqiM7lTedL5HJuTm5jrZEX7sjnh4eHh4eHh47L54AvSw8EP6b7S1d57y5xWPf9hh9tVn3loXuvr+T71npyGEkxIDD9PQM/qcHyVXnkmldCrwd3yXV//BmFW3+iQJACzLihpGwwHXdJbuhwFap55ec/Rfu03CNE1FUWRF2Tb/d5GCSY2jj6YsVcmdECJyEh7XOY5zIgQxxmFh/LbCs4ZkzgMhpJJ5ANBFVhR+9bprHar+LfbLm5x/zJc3tX27TAmHfjqjfcypZ2GCBAB1wSna6g0ohTmMevYZPM/HR5rHO5zsqtY3hNkV1xjPWKGmaU6zmTsspyemODsaepqaBEGwLOu4Z2ialjAGKIpyYplpmo7fFA6HLcuyLEuWZU3T5BSp8+IZ/NhOFXwdjyAI8Zeaa69OriP1bK+VJ0eRsDl4nrHf/+UXVwzTrSYQyMVZRsTmfv9OvO82y7ISabdNO0U9aCGIvnA43HXF31x3RACdz6V0ogcAluM78l3MZwCgdr8bEkp8Sl38nwRYBWaVMwBamQk2yQvR3hksCutdZXMxQGjkbBIMcmd0M0VRBEHk8/q4jsf7tf7Pteuqv3bJkRiP9PHzAIABGi6/H9mmf2Wv97QzKBEAaWjOi/IlVzMkQURC2pSD6O7WhksW68WjaZqOqGr7cb9MbpkJd0Ti5l2qW0NpujE22Ofjv2TtbmSpv7ETmqob+l2RE49kRQCwI+WP1pr9Zp/5pxYmN0ylmwb+uDGcyVF+Ot8sHgNmypQp8ekxPDw8PDw8PDw8kvEE6GHhB1uzufq76sse/CbV1qZu8/FX1/4wPfkpEAhkKkAbBB8sHjGsnUmFKpb2XwnbNE07LgeqqnZP+dm2I29tC4yXZVkUxTFrl+QpdTRNa5rWOP1sCbobJ/2ibtTJyVaYkUgkpjw6caOD7z/Lshhjk/LpVC7z6juudXR/YYGxKyYRAZSrq4Mbbq9Z+1H71u9/ImKB/7m3jEW/N597KVUFPHf/iikSNo2EC5IsJTse0OkPZxiGa+i003hsbDAMM/gncJqmYw1GIhGaptNo0IIg6Louy7Isy8lnYZqmIAg+n2/wntRDMrkiyzLHcU78tWuF+DeL47ji1Y+7Vivc/ok9+8bKMRMH36X0VB/8m2x3kRq/iZ0dQ1Mj3v9r6af35z6/2Dk1WZY7F93jumPOl29qaSNSzXGHuZYXbHg2fZdsIJ1ErACg63okEukSpsa2FpmbtlaeFcS7nJ0RAPx/9s47Tm7i/P/PqK200t7e7fXe3LsBY4NtMMU000INEEJIQggJJECA8INvCC2QhBAISagJSSihk9iGUGwMtjHYxhW3s322r/e2t0WrOr8/dN7b25W23O25offLL7/2pNnRSDtqn3nm82DMO7ky7xIM0Og6K+E1pTq0vCPutAw66AWArgt+hjHO+e8T6KDM2j3FJLK7+IWfO7d+wtV8iQGyVvyr4/TrjVjsUOlk08r9Wz8Pf/46EG8QaKuYrJf6SDgpInA5gwEq6SfNA/2wY2croyd7tvpJJwAyXDj2c4XE0ABujJCf5ACgUO6hzJygRcKxpz7aQzwW2wbaJiEnnXRSe3v7hg0bDndDbGxsbGxsbGyOXBIbttocsbS2dTzybkP8Mu9t7v/+BSZz522GRxc7Pie0O34ZDNA94RbPYTrmvuypmb0745ehQ93gzDMSssmyHBaOeZ7PqVlKS31i7ngWIYfDIctyz9iLNU2TLIQhVVWjXHdHAkLIyGpYLyxgGMY1vyxrlYm01D/xxEyoi11esPgF2t8runOD1/1fTuXYtDTpiCUjMzPjvIvqnW7xF7dGr6Np9mc35Kx4HQAQRcPQXFuGbwbGWJIkY64GwzAIoYQS7bBT8KWK4dcc/lMUxZH0MZ/Px/P8SGalmDqNDJtQKBQKhSiKEgRBVVVJksKis9PpjJxkwCDdyhGhZ9Z1eYfkClM1aRqsNl8VyJ/Et5tcanK3viktuLMPMQghtns/ANTlLczd9K/w8JTMcFpmLtnXGfvd3o2fF84/y6oxfF6F+fJgS2fluUGNKG8YnDDRSk8uVHYYnxFoAGCYrhjDw12uOW6xRgGGxQEAGBf6pMUxrUgf3B02sLtE+hIAEECpz3wkLIqc/X+Ssx607CpYBwC5eHz+W48w3YNeEznbo320AUAVPL0nXarreunbv+k47Xvh00FVVUyQsYkc+TXvwsln67q+Zld9wue6MgEa/EM+pJ0vD1o3CzSEVFBTGbvpleDzrZ1zigg2JytIsiltt580j3duZTwOXVHNzKB3qHxxMMibja6Fsd3MbBJyxx13rFy58rvf/e7TTz+9aNGiQ3a7HFUwxrquS3EzxB52wjdQWZaP6sMeHs4fpQOuyzJOxWNJURRiWC0Jj9gpSnQARFSBpMA4+dwEGIMiy0Al2+yUAlYwxsk/damqqiZ99AhNS+F5LqU2p5LXAac65S0VFFnBRBo6tnE7PjQnu6KlEs+EsSzLQCR7CMPPFbIsH9UqDcYYY6xp2hF+p0hIOHh09C7CacF4Wz/ag+1sATr9HJp3FVmWf/a37cmU3L6rduqkY1yMO2RQk6+CjffHL9NQdE1hTt4hac4QMMa+T58u7d6csGTptmdDfGG/e1qPqzKTxH3gBACWZStWPEhoskZzBeufb599o+EaTNP0IXumxxgbOiNCyOFwdJROD105tvCNB6KKkcVZINdFLewgxzr9WwCA9na6n/q5L7uYveuvdPp0wyOT8gUL9tx4k/7cM4OLbv5p4eal5IrXjb/oFe9Qc8+PFJdVVZVlWdM0QRDCsqwRXxkHkiRN3xmiM+aN+CmK47jYfIPBYNAYLAkvYVmWIAiCIJIRpgOBAE3TTqdzeCp2WsK6o1BV1aiTZVmSJI27RuTRY1m2aI15pDAAeMaZm1GkHYRQ3XHXq35vH5mRK3cUNq1hpAG/F8bfYfWt4s8e4yZfqDrc+ZteBgD32g8wIsJ7FwqFfJffkvnCfbFfdHz0b7AWoFnOKTGZDrnP5IuBtv6qRRAhQHtRYSGEBWgAAIIgDJdwIxdlk+ei8u63w+ULpW0ik8XhAf+KUukLq2ZYgQCCW55nTrzZfLXxsCiJYfXZ6s2w86LbpILqUCCAMW676v5QRN8LhUK9p17t+fTlqK+wvS0BX//imp4uxfKhroyRGmQHAMzIJxr8OoC5+lzhgrqkfCkAABgCZB2cFAQt9AS/2bgPiSD+a52K4fNmHZq7SwWYWcYGaEEkBzyCcqTeLoflVCQdEYBxruLtZDKjVlFYk4A2+Q5CG5p7Tx0bT4A+2h/0bQ4BJEm+8MILF1xwwYUXXjhhwoS77777+OOPz8jIsLonlpSUHPmig67rqqomfDw4QkjLJLzDjiRJo6R9YL8f60lfyjAEg0F5ZD+9Ze7okEmy4rhtSVb5xVj3+fyJTLMG4XQ9+dcbXdeTt3gPhUJK0kfPEQpxiUsNoGla8m3GWE/lKpPqnS6F8sFgQFUSeP0lz6E52SWMMJBJavg6xgF/QEIpPy0cG8ZNsiyPfKbpEYIRJ3S4W2GJcYM42p9LbQE6/RwaAfrF979Wk7vFFvevaqqVSsZMSVzUJhFOXjiQe0ll57tWBfZlXVA6ZuahbFKY3s9fyktCfTbo4yvzdi7OAWibciVfOBUh5Pf7G0+5q/zTh0lF5PrqSX+njpyGGhi/S6fdcIaiqLDk56N55wnnuze8F1kgWzUxxg3t6oqUENjuZu2+q9HDr8d3ED4GGPejG2snTFBv+zm+8qqCri30mtci1zp2b1JOuZBg2fDdNGyLDAeF/mRuYyzLxn/gS9e7tKk3ha7rRjy+IAiappEkGQgEUrr7KoqiaVqUip0kRph/MBgcjWt7+HeJivKmKIoOmmeT6yybl02bSWmjQ1fGmNcajJ++CFwzGDc4aTzNLY9hvJn+Jq9QuiPk3tVP30CsKmxaY3wFAWTvWBKuge7rQEPvjKGsfExSSIuWLR2dTUbmSavGdEz/fulXf4xd7urYzPXtH7KIjK6EljuJQBNkzTT0FJkaomMiwKBqKslQMPxnaIV0Wa3qmXiK0LyT3zkQTy4LHsZv8vtiggrmVpAATqfT1BtHHDsLYgRoAFi1u6VLiWevMSmbaWgFANgmOgEsX3iSVJ8zHdAngawDgKX6bBCraBvqc0IZGgAa/dC4MwQQAgCaAJqAoAoTs4KeikKMLN7BEVIQCQCcLovE4ABkwDqYuod0hiSJjeuDb5qF1cYmzKOPPvr73//e+FxTU/O9730vfnlFUY78hxOCICiKcrvdh7sh8ejvH8j/4XK5juoIaADwer0cx6VxxlUkOkn4iaTlMQSCIDiG9dNLkmQ82PA8b9rJZY6Ll3HYpC3JXnsJRLjdGeC0vBFHoaaSWz6l3sU5nc6kjx7iktefgSRJSDqCHCEiFZU41XscSl6DFgQXZtNwJdF13efzHZqTXdQw6hWT3EMCIVeGi0k6Atrv9xuvz0f4BTYhGGOfz8cwDMumNmXtSCMUChnartPppA/hS1aqGFfXo/2J9Eh/+jkaOQR2gcGg+NHX8RINhbn9bE9B6D1o2tHSPzd75iVHe389EiieePI+iq9qfTnqUGJAjVU3l5aUH5ZWte/fXtxmMVXejIyGrQCgEYxYNK30s0eaFtzDcRwRHJwUX/zlX7SFD/j9/oQyX9rTvlMUFTYi0DStd9qZkQJ0X/UJhXq0RqIDkbVlZXTDpCC+80Ll94uP5BtJWhhzyqnyl+vln5wTu4rpbGZ2fgVTTzJkTkEQIqOZeJ7XdT2ZUIL4j3oYY6PACEcjSJI0FYgRQrqucxw3kkiBsOdMql80bvZptJqJhef5qMrdBz63KkyeeNkoNcOUPv+QV0VZB1lCqzocqyAPIA8OhiO/k3HqT2FN7A0mHOdLyoMBBaFQyPv9X2W+8OvYzemqCta6TGH1ZG2Tg9SiA8QQQMhd5XNkeJpWAkDNuO9VL368edy8gor+cF7B8p7/IIDmAI+FsX6/HxBSCZbSQwCgA0GAzuleBbNB2u3E5lk9I3dqN3HaBP3TqOUhpjS6pDEz8cvfVZR1Q1lGTdYsXJnfq2dXvfmoec0EQVGUa+1/xcoZqjuv+JV7m67/g3E9NCLlFc18FKRXjx9bhB3EwE+hAjHGDbUJdtGEaTnwddfA5z4JylzQ4INCJ7RG+DMtLIVlEQkgCQSLxvPPbQrEunAkH4pnoOig6AAAu3qB6G1dMD0nRJrvch/tylb6yxz6Zj1Sx8GAAcwfgVB9R8/40sI4W9d1Pe13OptjCYqiEubyPepACBEEcSQ/QRkjQ8ZjKkVRR/VJagw3jt4B1ygqeSUXAEiSHF5LwlPrrGpQU/qZUnpvRUBSFJF0szVIIWA1pTdokiDIpJuhE0QK0Q2pNCOld/5RVQhIikTp6NjGW8ahOdnl5GPpAQAhiqLo5IY0Ioe0SZI8qkfOdF0/8u8UyRB+PTzC98WQGY92Qc8WoI9KVm+pS6bYpCLH6aGXjM9F/WtaWmbmFFeNYrO+MZSOnR6qmtJSV5PdvYpRvUG2XCyYl19UWpD4q6MCxrh4o+Vs/Vh6Midn1m0EAFKXKz++FwAqlv8a6UMHTrBGB9oxjjcx2cDv97tcLjg4H0TX9WDcTGIJMQJdw3ocxlgVPJS/BwAwADWtFCIyEBo06tOy8SbT2qTf3UTd+8LRfqVOCE3TVsKq8N/n4b/PM5fcKE85KVJ9No6wYbESP7aXIAirOaHGgQ0/CA7jiZA8iCiKDofDdM6m4ZyQas2xGGk2Ewb1W33X5XKNxmTkWFnc6XRm7f7AtLDEZWdm56a9DXGo7TM/VpdWw0cNgx4LB/qhO3dqTue2qGJ7Zt5YtPlBAKD3b4fSieHlWl60Vmvg7+7wFMfL4Fo/8+aqDY/HLnf4GjrH3uxpWokBqj54EgCy93wu7yV6z76kUN+FDr6JFfs+269oDme1z+fbn3ttSc97lO5nNB8G1EeWYCA9of1t3JQCfY/p1kVwN/WUl3z5cr67o2nBOSXqkMtOiBry02CMxdUPcXqfcRnVgaAp0qsWFCjbVNaFNJlUok8r3cEDgGvLsowtywBAySwInxEcxyGETP0fMUCPGu/UK6SVJc2Dz9OFmXStN2VX9LD6bNDgA4Ah6jPAEPUZAHQMf90QoBA4SJCGvsrF7kYuCxUeelen6lcSaAI6wIqtXReMoboz8k0LdNMZ3UO7bQUhupBGYm2LHu3OAQAHJGJ8/C3aArRNXG6//fbrr78++fJ2d7KxsbGxsbH5BmIL0Gnm0HiyfLSlK2oJgQAPzUzAkPDAhE9QxCtf0d6/tKBbcooqD0ELj3lIkiytngzVkwEgAyDjsDamfvfXY1L6gi9a44tSnzXS0VU1r7DmZWnm7ckIf5GqHE3TFEUNex6A4bEQGQ1K03T9pffm7PzM/dXS/qrjCmLUZwDgPreM/tbmzehb9++sOdcMrz1HCwih4LiZzj2WHiyO5W8pdY2Osy6OkpIZhkn4E1vpwnAwZscI84SI2ARN05K8GBryqxGeHA5liiKN19VAIDDsWGa/35/2OGiEUGTIvwHrb0MWExu75/zgEA90WR379iDQQ4M2/um84BdoB8JDlL/sxS8YHxxfryErpoRj5ImuVovtJWhP2ZhJeINJXA8T6uZ69wLAvqorymufNRYirHs+fLtu5oVlufXhaasutVVjJtI0HQgE9rCnsyw7tuvlNmp8sbTVKFAgbt/nPLVa+zKy/i6okHZ3ZdeuMoRzztvKBbd3sNV5+r7BNjiGTJ1uXP9WqT7oWF2X/x2N4CjBlRVo8jpdjp6W2L3bf9GdTowDY04QajcAAOnvoSjKCCgjQ366q0khoh/bMEJd0xbqcUOdWpUhDWtQWAopatJnlZsBb9IzBygEUTWrGJJxDOsMwURCD8cPVWXA/rgTvZbWqnMKWqjCAt3KjiOCOj3eYKpIOGRZjjPz3c5DaBOf7Ozs7Ozsw90KGxsbGxsbG5sjmqM45v8bi67rBzqjY5c4hrjpdE9klOdvT+91atHJmor2/LmztWm0W2hziCmteSn5wj6+3N29M06BnoKZkMUXdq6h1OEEMiuKYvhAGTOkOI5LdSZLlNYpSZIsy71Tz+ifcRY/1SR4rY8ocrbui10OAE1X357j3ZbXvqpr/9aU2nA0op0bT2T3ezG59E3u8fuiXLp0Xef5eNaxcHCClekqQ88FAKfTyfM8SZKZHJEJfZmM6nIJCQPPBUEQRVHTNFVVEUKmUjjLspapbIaFJEnDm++GMU67DsXzfJT6jBDK3P+ZaWGNZPLHTktvAxJCWRyqdhGm5QxZ0hqA1TNvj1wiOTKZ7gGhmdm3jTtodMhxHP/RK6bVEkn4ou6beavp8sJd/waAwjVvRi/fvERctU9CTgAIENl+YqDdDoeDYZhgMLgv77oMNGRcoTq4skcvaifGAUAHVHWv7xfeX5xduyayTLOvOlvc20sUh5cIGZ5+BQO0lQAAIABJREFUr7ezuamlvm7Xlg2l4lpjuQ5IB0IGh9/v9/v9+3KvQTFZ72uu+S0GKF/6R12WDPUZAJAqh+f1BxGd9elLKMMDAG0nXdoz43Tf+BPk/EKCo/L3rqAghZ6pA5qVyjhG8uozQLT6nBKrmjSvNPD9+Oqzwdo2XLOrldYtxztzlCFWIwTWnZp5bpmG9uhx/UiO9nwvNjY2NjY2NjY2NocdOwI6zRyCtxRTBSQg6U9/0kOToGgAAFefyI2X34stBgCFu59QC03mL9scvTiUFOw8Q5AZX250aa30Qel5eM4Vfr+fZVlZlhFCoigKghC2hIsPTdOxVg+GO4Eoit5ZFwR00av2IF2VmFyMSEJXeKnRV9NqOg278+QLx7a8ZXzO2/E3teJPR7XNVkJyJ06zytrbMW4+++kHAIDqatl7bqJ++6w/OCDpiqKIEHI6nXGMU2RZJknSKqpdluXMDSvcuX0Z/jqF4h3s4G+9f9wtXtEy9DEqmtjK5YMkyfReVxVFCQvfqX5XkiSSJNOVeJPn+VjNnWVZrmO3afnmE35YcsjNZMZkEjW9Jjedhn6YWwgrm4csXNzATCg6Ma9lvfFnS/68HBjcF375G/iMK0hddT9zN9lvnmKRzTAZZIqifNwUsIj1ry8+r6j2FZ2kg1UnCHsHQ5ipkP8AzC4g9mSqjZVqp9ay3s9V76dn8TxP0zTGuEE4VUD55eIX4a94lDpQoJWakvnhW6YHvXD9W+Tp412hlqAjy4l791KnVm//fYDw0G9+5lBlAaD9O9/OV3cDAAG4LveK8CmGSLrzynuI3ev5bM397uvB3PLOGedWv/9ky4//Ksuy66vBezcCKPr77R2X3yMLHlVVg+Pn5L96X/+EWUVbF0c1JpdWo8Kc4yPRHEA6x3WSYXwW7O5Nc51dIeDUoMKYT0NyIFyIQq14cNStSO6u5YpjS/aK5tcfGxsbGxsbGxsbG5u0cCzLMYeFJIW2kRBHizHU5xwXeTX3tlUZAnBHS6PVWpujDitZUEcmw0shh8fTvC5ObY0TL3YoA4HzGsUPW/gLhUK6rmuaRhBE8ieFoijx0/j0BbUO2e1jSvuCujeg9IrQRlTqx5/Rc+FNUQ1VeXeJY0dYNiJ1uefAMR4ETVGU9zt3xi7vOuPbhvpsgPr7qJuvNsKWDTDG8VPzYYxjsxtTFCUIQoW4cUzzqxpWe6kqACCGhiJW7vmzy+UyTYMOSWcsHA3/br/fT9P0MGrWNI1LJV95HEiSVBQl9hRz+poJ3fyUKZ5+clo2nRLVJeaW08flQauZd8sT6hnGB52gPO8PmZzBrf8499Efen73Yyv1GQAoaxuEMAihpvLzY5fLtKtw9WsAsPecO3pnX+GdfGbk2vKPn+G1gTyrJKhOqckY29B1XZZlSZKkzKl7hEVRdRJYtuolhK7VkvMoLDFSnyTTYwPLCNBceqd65SKMEACw/347QGQBQEvmmQo1KKz7fD5NB33CSVmo3XfJZWxvKxXsI4Jen89X+eJtOds+GbIVVS547f7SF293OBzCluX1i37uajGZwuJEqbkedap0YYKZD+lndy/MtU71N+zzXOqLdmYvlroAAGHcQrlb8eA9RUeEqfoMAJ1E4okgw22gzTcITdPa2to2b968fPnyJUuWfPHFF5FrQ6GQKIrDyIVrY2NjY2NjY3MMYAvQRx8JU5f8ddbnVv6hBkLj0rS2yOZwYqXiEdhEj+gSpsZ5yQ85c8tbPxysQQ2O/JXb6XRaRbaaIoqi0+l0Ok38OsNyYWSsLsuyPp+vK6+q6Za/+CeeZCzEgLTTTyDxkHe8jNr/HvPTqIsXnCtWTYlcggHIZR9GFUO6Tv/48kgNOkqKJQjC4XC4XC6Xy8XzPMdxkYcOIcTzfFXn4rG7H8vqWe+QuxzVHsWnAgDCQ3ojAshvWmJ6ySJJMqWOEZ8kpWSWZQVBMJK56bo+7DTHPM9bqerJw3FcrAzBsmzBVy+alm+acPFhyaWZ7XaZLl/bBtksXDk2ermsoyVT7gSAxpxTCTW1EVlVyEzywLqnnxW7sIMcj3QNAMa//6ikKG0Tz2i49snGax5vvPaJ9jNuQlhr6KkOF+5xnWAYoGuaZgyS+f1+LBRHXSOkxngO6e4tnwIAhSUHHiyWrdX1f+d6DEDoqrRkUyc9NsBV+4Zah4ui6Pf79wiLxKwZcmY+TJ3ftOC6Ca/ebbUhpKmetx5tXHhD1ad/JVWTEyc7FO0gkUMlOPhT8gcPNYWAPCSda0ePpalLklfnH86MVoo7YyK5mx05AIARwoASKNsY80qwaWvt6+/VbttlkmDAxiZ5urq6vv3tb8+aNWvWrFkLFy686KKL7rvvvsgCjz766KxZsx544IFj/mnExsbGxsbGxiYW24IjzRyCZ0qCIAozqdY+83CnR86nBV93/Boyxdr67SsKJp92WOQMm5GgyHJ/x365txEDsNmVGXnlyQthOhAqJzRMudSqgBBocvYOhgkjwCPvIanWEA6ajsxHR1GUaR48iqLCDgaiKMKZ1zjaD9A9bR2X/6iy839RhflQm6gqFJ3CLPWjkay7/th//w1MW73xZ8/ci+k3zc12qV/+SPjd84YJBsMwhgbncDgcQR+xfw+9eQ21ZyvoOgBoY6fqV19LCEVBUeRZOrd9eUbTtsiqskO7yGU78Ol5GJFROhIbbIq9KjocjsjfbiSQJOlwODRNs6rQMBgx+mE4vyVN05qmGUYxKW2O5/lwDcNordPpDMvxkak7BwuIXYRm3iRuyoJhbHHkMLT5FYajYOkBkM2GqFa20ZMmXpn37z+nui3fWde4kyvJOfnmyguKDwwOpnZ5puev/zj8J8MwhuHywN8Zxdql9xe/c3/rwksK8S4AyPeu9HHR2VuDwWBXxknZ/WsJwACgAp2765OoMjhC0aRDPoCs2OaVKJsPXHtTzsvPAO/uyz3D9MHAJThJLSj19QXKpylN+yo+ftZ0T3WK6a+YESib6OxuqPj87wfbgKKGmXP9TZBRFrmkS03QRVsV5scncKqOnayjtKgAY/z13vpltYG+EEijFuzbN+JRp79tjj7Nd/XA7PKU6yGwLvR3vbehpzswsLePfdT5j3FVVmP8uq4f2yZONiNk7dq1l1xySWtrKwA4HI6CgoLm5uaoMqeccsrDDz9cXl6OcRqer2xsbGxsbGxsji5sATqdHLKIhkXHZf9tRXvs8tnV3DTfWwCgIgeF473nlXe917NuDz/7RvsJ+GhB07TeHf8r8q4ajP7qA9gHLZkLkswmpTAZFU3vj1LzrEjppDCSFgYCAZ7nI90JrLRFgiAiHUhEUey67n56y4pY9dkg6O/PyMoxXXXMQFFU1kMvti55LWPp3zBJEZ98ZFUSeXvpH1/uuvMhpXwMGNKzv4/78z1EjD2C3tddWv8qAPS7JmX4TKb/s1o/JimMKB0RAEOCoGnVx9CULMsEQfA8jzHWNI0kSYQQRVFWBjKRxLdd5jjOEBkVReE4LnKUgud5XdcxxrGdx1DbjQyKfr+fYRhVVQ1xOU6P5TguFBrw2XY4HBhjY3cS7kK4PfE1d4fDUbDqCau1mZ7D03WtpkEEVQCAPA46zJyEl8lV1xAE6CmYZWNE5J8W7YARh5wTLpCbVjJKPwDoiOC2D7GFLnrrV02XPhA5WyJIOcWSKZnL3u08+/xcbR8A5HlX+ejZkb84xrhXmJbbP2Ae3YHGe/DXkdVqNAsYh2OQ6WCfqQANAJXK2j23PavrOnnQyD56f4HoE6Fww3J33ZZsML8yBwqqKVL1tGzytGwCgEB2Bd9dh0nKN24eX7uWVAZd34X+Fhhqg0wBVuMF/+JLJue6hk6DmD6uYvo4wBg/u3zn/hQyCxxmNAwk1jQULRxXhtoOsCa3R0EJdDd1fbgtENuz31218/LTpppuRVXVkc97sDlW6ezsnDdvnqZp+fn5r7zyyrx583p6ekpKSqKKTZgwIT8/v7m52Y6AtrGxsbGxsfkGYkdzjDoYY0VR0useOH+GSbQPQnBX2YfG62Z89dnAE9rTsfOzNLbKZvSQJQnW/a7Iuyp2VVHfZ7UVlyVTiUKmZvnZVzgnGX0wPqYjHE6nMyqAlKZpjuMcDoehAPr9fp4fbG0cE+Go+mVZVmac7suaYlq+v60u1fanC03Tutpb2hoPtDY3jPyoxgchVHTR1czTH7ZffBPZ3Rm/MPXYr9hfXI8O7M38w+3872+LVZ8BIDR5lvHBVH02kConSEwmIJN7ypjdT7g5KoPRPB2rC5qXTtjzeOne58a2Phff7zuMoSybrmJZNizp6rouSZJhsmH4bCiKIopiWDI2xe/3O51OI7bR5/NF9rooGIYxbM3DXzRC2Ky+IgiC0W8piuJ5XhCE+OozQijD10Qq5nnh2qoWHq7BQs3i5lXghAwGLh5n/iP6FdR/3T0pbaj/uv9HJ2EAHYYkSenchzWCBoC6/POYYF/kWirkK1jxbKR3uSzLXaf9AAEIyz7wkiUAgDU5fiQ7sWdf9EaVkH/8XI0x8QiKQgdCVVWEkKqqGGOjWzqdTp7njf7AKh3jgstkj6Upcn/ZVMHXwPUOBFFiQHx3HQBgILyzvhWpPgNA7t7VUTHRKiDC2tbikiouUn2OBCF0w2kTXMP0pzk8kGZDHVHqs0fsadu+f9lHu17+oP5/ZuozAHy8w2+22MYmAY899pimaZdddtmOHTvOPPNMlmVNn1s8Hk9WVlZHR4ctQNvY2NjY2Nh8A7GjOUaRfQfqn1/d2RvUjcfMLI744VzPuDFVI685wyVMLeW2NQ6RKh4+M8jKQ+Z0+51jdIrN6N9uVU9p59KAMpc+1k0JjnawrjMbHmV0S/VqTGhlMvVoVHQeOQDQCJq0yHgmdH7tKDtrhNlyTMVWWZYZhjH0R0M09Pv9UbkKkxmz0TQtKqrU2Fx72SJXr0m3r9jzgjhm+rCdf4cHxrhz8/tFje8XwuAe9WZMZuf/ZFTj6RiGqT7n4qacQvK+n8UviaSQ9sVnRH+vZYm8bIC6+JWoJ5/UiOnSrs8cEN2dENaq9jwVuaSubxz9tzfZ++oJV2UoFEqYptLqXd2IQQ7/qet6fLnZlCFBssFgOCZa0zTD2cPhcCiKEvtjGWK0qqrGV8LLDbnc7/dzHGfYZ/v9iVUtgecLVr9gtdY19/JU9ytdWAnfCIAiQJLNBzuDKhTOPsW7uIDuaUtmK/4pc4tOOi3VtnFOXv7WU22f/bf085di17Kte3K3LO2Yfn7YbTwQFJuufqzk33fSyz4NnnkiL7c4HI6oS1x4fxVgM+s3Ra4yzDe8x12oZeR5vnwdAMBaRdpX+IOQP0gQhK7rhqFQ+GLIcZx79yo9jxe0jp6SmbDJvIZA+eTMrl2DDQOskxShqao7DynRhx1h7CL1fm1IFLBuFgFdyMhTeamkoNSq5QBAUeQ9i8Y/t2J3Xb/J2glZ8O2TKp0cNzAJQNcDAfEPKxpN/VjiMKcA1ibVOxLjkn3dXHb8Mv9b39nqTRCSL6m4z9uf6c6IX8zGJoo1a9ZkZmY++uij2dnx+qHD4WAYprfX+m5rY3MUoosBfPBhAIshLAYBQAdNM3vexrIETFLxBwCAKBpiniotwRgC/Tj5kC+SAjpeS4wnzGEM/2NVxsGkpxFpqWXLSA2SgYin6Hj7Qozmy5EawkrS47uIsMwKoetIF0F1YHww3iW1X4dEZLJ9z8bGZpSwBehRQdf1X760sS805OrZK+qPLe8au6XvrsuOG/kmbv3WpB88tTH856xKbrr8XlQZIVibMMSitebLsqmnjrw9NqNH+7aPyqzVZwAgQN1bdXn1/rfi16Mjk/PdSn0GACodSQhFUYx1HlBVlaZpQ5XjeV6SpCiF0cgRF/4zFAoxDGMqhUe10DBkYBjztGkIQF/xCJz962HvTqqIwaCw/I5iHK16ZPXvwO//tGPuQ56cvNHbOkKodNac1mffwj9OJF/GTW2alR0E88DcQXKlna2hsRKTxWMzySqC7Y7z+cfvU//2trxpXUn55rrMCxMK0GGvDAAQBAEhZHiFA0AaMxkCgK7rgUDA5XL5/X6KogxDGKP3yrJMkqSpbYgRsG881hs6o9EqURRZlk2mhTzPl39oGS/cUXFqjjO16QtphLTwvXUz0BGCVU3m35I1QAi5H3kpcNPZKFGsn/f4Mwtv+OXwmkfTTOHmxVZrXbtWCjWrmr7zR58/AAC6rveLUuO1T5a8chv+ZIN85gnF3e/tFxZGXlvCQe44Rr01/tZ7OzK2Rif2jKIjY64/IMLBCxTGOGwfbPiAB135xR++AGdMyCX2xx4dKSOv6Yzvj/n4j1HLm695vPSlnzM9TYVv3xfzJaiC7i2Q4Hoy19V/3OL/A4DucfOzr7g9TkmKon6ycFJLe8e/vurqPdiFSQTXTmUnjxvI5Wj0eZIkmUz64W9NWrW55r39gxfkGblojId5e7dl/0+X+gwASJHBfJrEIAnVZ4PtBzrmzbAFaJvU2Llzp9vtrqioiF+MIAiEUHpvWzY2hx3/O/8QVw3cFvWDkQF9iDDVBgmaJJObAAcAiKYh0SNiGBwKhP7+K1CSjZshPTzEn3cVKUCnonPivV8om5cmLgcAAES+5USoNECFBWiMAMWTa8lUtP5UqV8CWqIXiTBCHli89iLAbl1HXmLw92AzrQqbwJVB3tnJFraxsRkdbAE6nRjChCRJd72yNWhxDd/bpT773uYbF80Y4XxqT5b7ievH3faPPQBAEnBX1QpkNq0/4TbGdC+WwRagj1wkSSrrX5Gw2Njg8toxV1bWvoXAXDLWCAcfjM6HEwcM0Djphsjg0OFh5d4bVpxNfQkoiooMZVVVlWEYU+0vMmFUOEFcHEFTCLX0i6KVpUN60TSNW3EvEaM+GyCA/DW/8p31BMslns4/EgrLy/2vL/NefQ6KY8gbNxab0U3S5UXhlhpCby6Xrr0MQvVxitW4L+Dv+xUQBJIk8pk/sA+dZZXyKwpRFDmOk2U5GBwcF4k0WEgX+CCKokR1pEgZMQqr/IcEQSScas0wTNH6F6yu1RjAOfeqZFo+Sljtck0fHJ8LnIM+4DM53WQNAAAhgn/m4777vs90NJpWojNs149/Uzl5+oiaqMfztEEYl7x6Z923fxf2B/f5/fVXP5638kXm0y36aSdmoL4uGDwHdV3HQCDQKZBlAEyQkiuv86K7S1/6OQCoDF/x3iMAoDEcKYuxQTo6ogJsea9zMo7oEgRBhC+DwWDQ5XLl1HyKMK71TScyWDQ7N2/9YkyQLfOvzq1ZzvW3c2rP2I/+YLKjtQPB0lH+Gwal3gNbhDwAIBHWcHSHohC+pHlxfs3A3cSzZ3Xn21TOpbfEeRRBCBUX5N9zQb5VgajCpx438dTjAAAiE6xtbd+5t284bgMMAQDmWS5jIXGCciimwL3n5vzmg67Yksu3986bYV6JnTjOxopAIJCVlRV1O4vtLUZagiTtp2xsjhZ0X7/WFZ2ayPKi7GQJKumbgs6mYBeKMe7vBilZoRMLBSDF9UYbUjoz6XYAlkXwmdxfzPF4kq85ZVQRknRcxRowST2QDwclAGriV4kBVB5081gWBEDC0L6l0pDES8oAyYvgNjY2o4btAZ1mMMZPLt1hpT4bbGxS6ls6Rr6tirKSZ348NddFPni27lS7h13PMCat2xwyfDXm+fRiGeP/2F862e8sjl2lUELHSXczagrulqojM8Tljtym0Ol0mnawUCgURz2kaTpq07Js7tYaWSz8sqeqashpGVDg3bchYbPTQmD107SWQMHXv3j6EHhBCm638HL0DIlIMGH50IkJMkOyCHMdSui+5xzHf9u8EoDO3FO9p/ze4SoGANB18qfXGBEZydQMAJqmGYHzkTHvSYrX6ULX9ZSEA57nEw7hIIQyfI1sb51Vge7qM5yCeUT/oYEgiEyLnZ7gAdlisMd58GRFCGU99I/+XzwVKq6OLKA5nN5rfyk8tXSk6jMAMutEGKG+med3zr8OAJCuupq3R5qoBIPBzgU/IBVJW79XxkxkR9J1XaI9ewp+RIAmO7N0ytF76nXsuneNtaQcNLbWcuWjAKDTgxexfm7cnsIba3Kuq6VPihqQ4DguchwuGAz2T1kIACXrXi9a9s/CbUuRkyI4smz9q1y/SXrh8B7RXLxA+LKNbxonFE8BADAo4kwB/fvrHgqrzwY5NZ+2fr0+ToXDJlJ3++HpEzJSd/mqdqMHLhz/m0sm3zo356qpLjKu6pvlgJNmTIqVmCPJC0W7229oNO+6+7uU5DOL2tgY5Ofna5qWMLQ5GAyKolhaWmqPZNjY2NjY2Nh8A7EF6DSz9uva2q7EGcaeWd6QFtWpID/3udtOKYKk5CErOlviRSzaHF7yfSmopW6lyZURrC85L3JhW9Hp+KI/evKLkq9n7/F3N0y/JRwwOBLiJHYz3HVNV5meHYZIhBBiWZbjOJfL5XA4gsGg8SJHUVRY7FNV1Zs7y6pJJfte7Vv1fFdb06gqvz5vb7bX0n49jNu/19uVvonocTbkyaaeft1y8h1lqeQqpdVWqwxUwtGaNa912t2F5ZWCK6M5e0FUgfasOdLCP+XP/W5mloeVaum7b8QkCQDa2AmN9PHJ/wqKohwa/+440kAgEGCSTpSXzK65OKbwq79b1gCIn3d1kpsbPcZlmT8qvLUXdpgkrQQAcA89swvHTcq+7znqqfeVh/8deuAl7ZHXM55aUjQvPZkVdcqkVyCMhd2rQ+XTmy/5NQBkr/xH1A8XCARaLv0119tc8N/HnJQe7lqyLNd5vlXS9W4bM6lr4umkHCxc8ltSGri2IBgILS58456QuyCUMZjmrj3rdL/fHwqFYg2FonZT0zR/blWkeE1gnYgbx23sEd+2O2ohBmj8zhNSTjkAEJpiSOz9CgIAGQ/+ameEtjn8JtFYhUt/m+plEGPc0Ny65PNdi1fv2lffklCrJQji/y6YlPzPTCK4d2HpjxdOMgYMigvzjxtf9qtzK2mLx1UPC784a+zGLfs++fuXWf4uKxna2x89DvrRdkuDzs5u26LXJjUmT57c1dW1bdu2+MU2bdpUX18/ZswYW4C2sbGxsbGx+QZiW3CkE1VV/7UuqfeWHhEHgyLPp2HqPUIo44Tv+r/8g6DEk7EwAABh6s8gS3YE9BGKqqoMTi0HIAKoVL/sLjvRh4oc+dWuwqqcg7k+WkrOLmr6KGENEpsbkhRdT49HofGWZeTgilrl9/sFQTCNGAqFQg6HI2pVIBAwBGtVVQ0vDkEQaJo2MsUZ7r2DlXumkrIvp/VTkyYBzu3dCOs26ojsF6qJk34yGo4c0o5kQ9fpbf+G03+R9gbEkldZJb61outHV5A9ndHrSMt7gVJYDmA+YwMDNJZelTf+pOwIl4bs4y4RP9vGKd0BJr87d27uxPmFQgYYMy0+/EWhFgQA7x0Xdj23ktpbo/7yUeLv7wiCMLAtRQmrdRRFhfuMoihGZ4j06mUYJi1jJLEYPdM0cyDGmKbpEWbmNCAIwkVqpR/fH6dM85ybikbBZiRVCt0stJmEcp9bDqtbwHT+Km/WoRwOhyM3/abnbadcX7LsL7HLqaC39JXbpexSjIjG7/wx58vXu+dcOeQqAXTjNY8DgKNtr5ZVQDszjEGsYDBYl3XRpM6/N2ZNBwAM4Kn7KqpyUglRcrD7xItz8UAOWCspVhAEny96fqimaf6KmS0Tzpyw9KHk99Qr5Lsj/sSIaLrqdzoAGRh48ChlQgfk6KtZJqmO/8JykKP7rSdzrrgtma139/S++2XD2v1B7eC1/D+b+wDqL5rhvnj+xPhWHsmL3JOzUWwOQN7pfPjiiau/3vfhflk9+BSDAM4fy8ybWv3Q4ytWresCgJ0PbmAdxBUXl+fPqBCHJhr6dGfSHpEA/1xRd/e3c2KX2xYcNlbMmTPno48+uvnmmz/++OOMjIzwk0+4AMa4q6vr6quvDoVCs2fPtjuSjY2NjY2NzTcQW4BOJ20d3VrSOdvW7ag//cSJadkuQRB/bl+4p1NFCFgKji8ijsuXxwQ/dymt4TK9WbN7sk4as//J2K+TeDTT79qMgGAwOLwximx5b3/FwuzSysiFnlkX683LrSyJw7RM+SGEhq+vURRlyMEA4HA4DDvdSAvUME6n01TjAwCMMUVRkQI0z/O6rhsxceHlVl8HAFEUIf+k7NZP47zkEVjL9O3BH9+qks6WkkUF0063srtNFYxxQefqJAtn+vYcsjOQ4/nil5fu/2CJ8y+PDFkRY8ERGj8zcPrFnOAK6SHofiO2qr35l5VOnV8Q80WCJDun/iQvr8DFsmHnCF9/H7v8LhIrKslSWsgtNbaVVzF9PQCgaZqh+tE0rapqWHSOzF2JEOI4jiTJyC5BkmRahOBYMMZx4jrT0klYls3s3JG71eTAhvF5qoumzx35tkbOhKLMxbtNBOjFB+Ca8fBqdFQuAIDgOHTuKHnT54KZAG3g6G4EgJLX7yaUENu4rfXyh3yBgX3RNM0vhgAAiieWv3xrw6JbhKwq46piXGpoSgarVApYb77sAd2Z2eGTefEACYrVcIhpiDFCiPF2jF/6UF/pjMzGLcnsZuPc60rX/CtySetF9wBBlrx5LykP7NE5Kx5AWEeaigmibfI524rn7Q05vrX5z3Gqzd6zSnvkC8lT3HHqD4rHTDCdZLB5++7nV/eKirmMvHiL9/2v1z561fjcbM+e2gPPr+z0SRrG4GSIH87Pnjy+Ota7Pw5fd2FTnZcgiFNnjD1lOlY1TdM0kiApikQIPf70Z4b6bBCS9JfeOABvHCgsYG/56VRQ5H3t0hf7xP5QdON/tsDd4ife3mASNLCzTf75c2u/Py9r+uTxybfc5pvMLbfc8re//W39+vWzZ8++4447rrjiisi1vb29//rXv5588snm5ubKyspbb73VFqBtbGxsbGxsvoFEd5p6AAAgAElEQVTYAnQ6qalPYSp9XU/apJN12/bt7lQBAGMIKrC6Xl9dTwEseGBGbbk4ELfl6V3n6V1n+nVMj24ONJthgzVzZRInkV6yuOElXHJf5EsORdEdpzyg7/pQp1jAGLBRkzGjHAPGCAFGJCZpXR9+UDzHceFwP0MfZBjG8MoIl0EImUYFRmKYRIdCIUEQoqKbk0FVVZ/f31ZxaWHdO/FLIgBaC5bXvwX1b7XPfciTk4YITVWRmaTdjeHQBtYRBDFm0cXaORc03nc7s+nLgQZEWHAoRRXcvU8VZWWFl8gwv2H/nrzm95xSi48r7ypYWFY1vty6weS+j8kNX/nOfMyVkYkx3rd5VdWBfxqrmiuvLq99EQCovbsAQL330XDHiNXpOI7DGBueBrHq3ugdMavwZ2OjCV0+k6m/ZPUf6UC8BDUYEfzlD45wQ+mC4yyjsE3VZwAodh+6LFsOltUBobhnXPNVv8tf+hgK9tF71pJlM8MDDEav8/v9Tdc+SQBozTuz8ooVKgMh5CUK3R/9xyimEySha5EXXgSgOFwExi3EGDpzIk3TKBjEGBvh/BjjQCAgCAJCyNQEX5bl1jN/wrbvdW8enCqBAWHaQZglGPROPUstnybvLHL0toSboQnZQBDNVz4i1K7zfPkaAFAHlWjQoXjrkuKtS85J4gASusp11Ze/cx8AYIAD591VOXM2QgTGePXGXS9+YWlVEUbV4c5XdzsokCKkZlnU//BxJ3zcObeKAUghkF+SZdbCnQkhRFMUfdDOu7ml438rzJ+7WttCK5fXb9cst/vUZ94Lp1u6q/eK+uPLumHZF/ddXDqmojT5xtt8M8nOzv7ss89OO+203bt333DDDTfccEN5ebmmaZs3b544cWJNTY1RrLCwcOnSpW63O35tNjY2NjY2NjbHJLYAnU7+tzOF+eCbGqXr06E66Ri/+KW5DecDW8c8N/5rGieQS/KKykfYBptRgmLMX56T6TSM7m9q2JVXPilyYU5egby/29StBSOQmNzW3PNVVY0jwCUDx3GRcqGu6+GgUcPBGSEUX30GAE3TdF030rhF5p1LHoSQRgspfSV/za/aTn4wOzd/GJuLJNUGi6LodB7ScSCSJCt+86e+ri7vO6+izWsx71IKy9WqSewl38svNLELL6saB1W36wA8QLw8aAAY49zeDQRW+WW3Hcg/r6Tj4yo8KEoZ6rPfUUAENwAAqhxLS5JxuKLC5DVNM5xYrDaUrnD1KOJ3/si47OHB83zZikdIOcH55b38yWgbgsMHjpvezZSCYSSeGwEtlz1Y/Pav4hTAGLedf0fJv+8sWP+mNC46SSDGOBgMOp1OsnA82bQjkFPtcPIdBRcVkWtIVQIAQ33GJN1XOj2rbgMAyJmFuq4Hg0HjGqUoCkmSBEEYCwGA47hAIGDlsEwQRCgUUjwVfNFY6GkAADkjv+PcW4M64pHK7/mC6arnmnZiiiZUWSyb1jvtHJIgHL0tkZXoAIRx9aCjTxOFzaBD5knkE1L5v9/rH9FtF93z29Uhn5TCQJpkEei8Zr98ymR2V0yocTEPzWYnk57cVDKM8S8fXhOnwMSJ7u3b4z3/1LQljgN48L+NvzhHmz6hIpkm2XyTqa6u/uqrr77//e9/8MEHAFBfXw8APT09PT0Dj+hz58594403iopSSMhhY2NjY2NjY3MsYQvQ6cT0VQ2BeVyWlKYs620dXVY5hHQMz/muuFl4OX4NVjnibA47TqczmWBnK/IaX8dlD0QOcoREMcPCK7y27OZQKKSKKoAIADzPGwpgqhsNBoM0TdM0rSgD4duqqhqmugBgxAOGV8XHiCJMtQFhnE5n8dY/pfqt/C/u65hznye/eNjbBQBVSdG5+zDNxs3Mycm88ecAPwcAuPr6tNTZ09ggUcdVKOsAoLzd3Ag7QORiitaKy3R5UB7SdT1SrTP6niRJRiB8bCWjkUNSEIQ4Xc5wnR7JdjmOK177dEL1uXnOTwqzsoe9lbSjKJYWCovK4X2zLLb9oTTd4ZKjePxkb9lMd8NmqwJ0zRplwlwlq8jRVU9J/tjLqjHiRRCkVDaNwRirqo6Q5Mpz9jYOlEAEoSky7zH+ap57ndEtA4GA0+lUVVWWZYIgwhH98Q3KHQ4H19uk5JRhggYATJCtF96taZoqh7wA3sqTiep53AJOVVWSJBVFQapa8tlzAw0BAAA5u8wYs3EyVM6qf0YpzsNWnw0ITWE3f+CTFoykkkh21PkJd/RwoKn6DGCZKjWKQFBs7YinLwsCDRCvwORi5572xBMaHv+w5Y95mTmezKSaZfNNBSFUUFCwZMmSjRs3vv/++62trV1dXZqmZWVl5efnn3322fPnz08+h62NjY2NjY2NzbGHLUCnEwKBFiNNxNEqjGzyXzQFZB05CJhdzFWUFKUqRa3c1hpn7YZm9etZF0/r/69VAQ2ZGD7aHCEghDCQCCylHJHysGovBiDMOhqDxW6f15Ux+NocqPsiTlhlpFOnoaowDCPLcvJRnyRJUhQly3JsCPBIQqqHgdPpJAiizzM9q2drSl9EAPlrH1RJ1u8s0ygnoYU01iPnThWKxnPOZIdqKCY1/wGSPHSGuaMKxjh42w+Ifm/NSadWnkw4tME4d69nhuDdQ2pBAJAluvT8cgCod7DBuLHwIwzGHwZx9GWGYUbSGJqmC3a86/A2xy/WWzCjYNrJw97KaKBYRKRePQ5EC2m6wz8q9txWIIQyrrk3+Pztzu4G0wKFX73l83c4uuoBwHlgs7f0uNgygUCAZVmapjVZKnrv9w0nXzuoPgMgrAdyKvN3fGz8KXTsFUtmGp/DonPyUx+cfS35HzwR/rPtnFsxxjSJKEEIp2w1HgZkWaZpmutrZtv3RdbAdDfoukYQBAai/lv3l//nfjj4vBFyFzp8HYQ+ojEAoaMWyAUjqSGS7oD+rQnwebynlQhQUpMbvtq4J36Bup4E3tP/2dQLAMeVMJuaEnTXxxbv/u33ThyNQS+bYwyKombPnj179uzD3RAbGxsbGxsbmyMOW4BOJ3Or2M9qTSL1KALUmNdSAsEfPjugAwIY0J7q9kpU7f7LxzjKS0uS3+jahgQvTk98xf15cp6gdpiurS+4LIWN2RxyNIIhdJNIusb8S13+mszAjvgh0mLzFlfGgvCfud2fmhYzfasOBoMIIYZhDDNTURTjZGYbbLCmDc8xI40Y6jMAdJctCnimltS+kmoNlBbK9B1UN/oBOr6AHRBgC9T5dzmTkKEpKrVL6zETFdWwaQPV7wUAx5crm7+ilV//enz3wOhXT958LtBIakGJcufXrgh/xeVyWfmxkCQZR/BNezcjSTJOyL/hmTCS+jOkHqHFMkTXIMQXuM6//UjLT0VT5oLg+3WgWPwIcvIJedMEQZLMDx9T/nwjHewzLeDatVLKyG874VLPzhXu8mkBgo1KjocQUlU1FAo5nU4q5GcLKw3r53ABh68TAHSCInQ1Z8N/xAnzhzcgQZJkxub3IpeoOWXumtVZ69+Oup5rXIZOs1R/Z6zDddOsK0hNwSRT8srt/kkLvDMW8Ts/3XPuL8esfkH1lHDeJLVeS5hAz7hqak9nCvkD4/PpTh+dZem5HAnrSOp6+Mnn7fEL7GpNPAqycAK7rCbxed3q1do6ewrzso+ZwUIbGxsbGxsbGxubQ8yoeGh+YxmfZ/7WFKs+A8Cl0516jHKoYvTaXvlfX+xNXluxSkwfBgP8oWWh6SqFYIvHnZDkhmwOCwG60HS55Cjsyj6ttuxmjKg4YhUlDg489Pf1UBaG4A1F15oqKRhjI5GgKIocx/E8T9PxQuYxxnFMew8NFEURBIEQ0jQNISS5ymtn3LNvxt0jr5kPtWUsu71+y6qEJUmS8nPJmnhIVFKizFEB8fDgcUaqwvzq//YsU40LXWXNnxmpGwAanCeHe6wsy3HcwEmSNJxbYjEC7dPXcAAAw8DXai1CKFXJO1JHdglC0Rd/jl8+xOdRVz9GHHkKF0Ob39q8Moy1sCUYl3sYctvSNEPf9qLKcKZrMQAd6EHF41xtNcXv3M+y0Q77GGNVVSmKIgkCkxQANF/zeGQBSvIDAKGrAIBS98UOgxCiAkMckTHGwu7VAIAA+kpnNh/3rZ7K2QBAiv10f4dpfkVt3Gwy0AsIIcCunZ+6diz3zTyvcP+X7eff2XfyVU2XPwwAOkUrQs6w23lWwYh8PKLoE/EZxYkjiKfnoiQHYNZujnGVHkqbL/FvlIz6bPDG6rokS9rYAACO4HC3xcbGxsbGxsbmiMAWoNPJ2IpkJSeGhC1B85dkAGgNkU+uPJCkT24y1PXqu52nxi7vnnTrMLJL2RxKejJMpooDgODfCQhRYuv+spsAIOQoMC2GYPD3VTotJywrdAJ3SyP2ORAIxBegdV2XZfnwxohxHKcoiqZpwWDQ5/P5fD6/34+BEPmSXZPvrJtwo0YOXxpDAGPqX8Xv3yFLQ6R8VVU76mrqNn9at2Vle+2Who3LSC1ZXaNjwnXDbs+RBuGPVqzoHVsOvFDTy1Ubf2KA0u1vAUDXjCsazrlfkuIZsMqy7Pf7TU3qRyMDYUIBetg18zxf8eE98cs0zvwe850nktwvVVVr9tfV+FTj365u/679dcG4psMjwcGYn/W5HHzdZf6VTOfhMXdCCLVebJ6NEAEonhLqYB6/wncfjNWgAUDX9ZyVL/qLJgHWS1++Nd62hqsr6bquuAZ1YYwIhJDiHriG4/wKQZOc3pa2c29rvPZJq0posV/NLASEdl/6GwAgFClr3dvuHctAkbJXvFD8zv09J1+1/9Lf1J51W8O1TwYrZoa3qDNc3/TzdNryCSTMmIbVw9tBK17/yjfdJVvE0w9wzhTzMddYTA//pLHuitKU01o8fEnimWCbGqVjZqqKzeiBMW5ra3vyySfPO++86dOnT58+/eyzz37ssceam5ttJdrGxsbGxsbmG44tQKcTl5DUa08mh46fmBUb/hyJjNE/19Yn87Sawyf1I/5pe7EO0bJgwfbfsqvu7N3wqhg8pC6rNsmDOItcZASlKAovNRd0vI8BNeVfYv51PDh/XA+a27C0ZZ+VzGiHIcCJomiq2oRRFOUwBkEbk+gpioo6dwhdbqi6RpZlr8bWTrpl9+Q7gklHKMfCqD7uw1t7WgeSr7Vu/B/3/k+Ltz4xtuH1sfX/LtnxTHXT25zcnUxVOiLzKiYNuyVHFFZZ14iAr+/RNxrY2QCgEiypqwCQtfP9kD7MGxBN0yRJJmMIkxKGcQpBECzLchzHcZzxgWVZwxo4VdXbOGUYhsne9m6cYjpBtZ33cPGJ5vNUYmlu76gNYsgdlMwQw6LckgaVrmnpSPthAWtLmU7RMslBhkXo+iGgbNxE3cJE2NF5wLXni+bLHgQAOtDDiN7YMrqut8//nlYyPvujv2BAAKAy5nd2rnadVYR+HAiCEBjK0TNoBd5+/p2qqnader1OUpgg/ZMWeKed1XDGT+Wc8jj5+Dyfv+w8sNGz+mXu4AVZ5rORrgPt6D79hvqrft9eMEWWZYyx3++vP+6yhkW/VAVP+9k/A1Xxjzu56duPqoInflPdjVszOcsGTMgfjofb8t0hX6evwgW5HHAxFVRmoJzsrCSrMj02O/d66xqHZCzI4slsIcGY6Mrd/UeW643NUYiu6ytWrLj00kuLiopuu+22Dz/8cNu2bdu2bVu2bNldd91VUlKyaNGijz76aDQu0TY2NjY2NjY2RwW2AJ1OCII4tTqB9Da1kC4q93TIiUNEuxVi6+79CYudPjYpsY+hgLDIZZfv35ix/r6O/VuSqcfmEFNYWmW6vKDr44ktz2YFtnW55wDAmIanE1aFNXM3zwBXnoy5rfHWhDGWJCm+7DIa0anJQNO0IAgURSmKEhmFzbKsCpQoisZkWFEURUluqL6mZspdreXfUqmUw+UAgAA9f/0jnfU1/s+eKmtaPOw2t0//2RFouTA8rARoQ6PUfvvXHez5+7MXGQtJOeBwOJKJKIwaSzBi8K22NUIMrVlVVVEURVEMhULG/8YHgiCczhTC58NJ7dwtG63K6AQduOoveaWVSdbZ2Nruc3osdUmXZ683FGVtnBYyUgn9ZAgQkhuOHSXqL7rPapVYMVNxCBghAMjc8B/THhgMBttzJ3hPvBQB7i+aTMkmKVhVxtlZMJGUAhyXOJQ4EoEhi1+7izyofWOAUEa+KIp+v7/tonubr3jYmLTBMIwRYR0qHG9aD9uxv694Kt3TyK99RycZf151/bzrdYrO+uivAKBpWuSJY5gpBSuOc2/9gNDV4nfup3tb9p71i/hD3Brl6A8NHclDsGgSyzMAADXt8brZiVWWHcAv4a929+/c19/Q0N/Z0k/4/JlKMB+LJWTozLEZANDa1vH04k13vrjup8+uffi1Deu2HzCdmnDcFHecBpw+dyDiuzegdfsTSH7LdvTff9FA5LXHSRS5za/JaZyXZnPssWrVqoULF/7nP/+xih354IMPzj333CVLlhzihtnY2NjY2NjYHCHYAnSauXS++buiwUWT2aDLLenJhtp82JK45JzJSSkX1Z54vzUCKGl4qb3WUiWxOVzEF3MpLVDR9m9Th1ADhRu05iDA3F6AVkzCAKPgOC4sUmOMQ6FQHC+Ow5JCjaIolmUxxj6fT5ZlI30iRVGCIJAkGXsYQ6GQpmn+zAl1428Y9kaLtjyR5d0x7K83jb0up3zCsL9+pEFY/e4H42edv70fa4N91dm8JZlg+aiXeYfDMRoyEEVRqqoqihIMBq1i/GVZFkUx+aBXXddJkmRatrWNOdfqn//KP/FCsibg3d09AcFiSkQY2lHbbWmrPWwmZqcQ7lrhPszhpJWTp1mtyl71T4yxb+JpAMA3bY8zBKI73QDQP/+axu/+ScnIi1rbevlDmfvWFr95b0rjbS6eL37tl5FHB1OOcERkH6b7JQ0AeJ7P/eJVpEoA4J1+rkazzZfe33H6jzAidMaJD8Z3UxTVftE9OsMprEvo2Ff81RtNC3+GsFbw7kN5a17JGPqLkSTp6NjPtu31lkxruuYxTLN5HTWYcXacedOBqx9vuvLR7ilnRe/jlPP0gyefgwIA0DEs3xMKyPD9OQkGGM6alOFxEk46cU9o9+l7O9XtrcrmRvmRpY2/+Pu6//fmvvX1UqdfD8i4tlN5ZkXbj59d19TSFvXF006O/lEiOWVOaubXv148kLaxJ6i3eM0F681f70ypTptvDitXrjzrrLN0XR8/fvxf//rXbdu2eb1eWZZlWe7v79+5c+fzzz8/Y8YMjPGVV1754YcfHu722tjY2NjY2NgcBoYzg9LGisam5tKS4u+cmPnK+r7YtZcdL2z2xfMuMOWrnftmTaqOU4DnnRksigpTiuXM3CZIFDJY0vRqX8F4/vBNnbYxpZOdnBsapsrpKJoZ/kxi86Rtmf6vux1zAAAhZBW5Q5JkZAyaqqqCIFjpgKnmaksLqqpGprOTZdmQlhBCkiSZNlVRFEVRUg1gTBcHJt5UMm7GYdn0KMFynEmkKACKCMjVyUG9L2fTaw3FJkdAEASMcSAQAACHwxEZns+yrLE87bAsa5qHMwrD0MDoMwmjsAVB4Bs2QX9n8SW3mI7KqKqaZLRyZ1d3F8EhJiOZwuB0dXR15+UkkqpTYe5Yz7pWcw+fWK6YVZrGTQ8DhFDD3O+Vrvln7Coy5Ct7934xp1xz8KQUEHatDJSdYHrd0x28b+KpKsUGfT7irFuK3x5iLV366i/C20q+YUTIF1Vacw4J40UICU5nySu3I8Bc4/aO6YukSacESqdpzkydz2r6zh8BIa5+S87KfwBA8Tu/JmSR0AYubr4TL0U5JR0Lbqh8827a34WdGf4p54avxiRJds/5ds6yp91NX/Nv/ap3zpUy7+mfuKDLVWx0ZWnKwtD4ucXv/DrcmLcC4+HgsKV0sJ8aH15cO3ga3ruoEADe3tgblJTG3gHp9uH3WpM/LJF0B0xuH7IK//f2gQe+pZWXDlonnXLyxD88t9eqHp8ynAALkgDN+vZFkPYzs405L7zwgqIoJ5988ieffBI1hEnT9MSJEydOnHjdddedf/75y5Yte+aZZ84+++zDMlRvY2NjY2NjY3MYsSOg04nf1w8Apx43bk75kLA+BwlzJmcOQ30GgBVt0QGAUSCE7lpk7tIQSb7ekLAMAuA2P26nSTniGHvh8L4nE3xG5qDLJ4XNfTa6suYBAMMwVoGfgiDEanOKogiC4HQ6hYO4XAOBnKPhAJAqkiT5/X6/348xjh8wS1FUS/VVrZ45eyfcHOKLRrVVOiKDbMGucT+VL3z2GFOfASC+ObgB7ukNf0YAlK8j0ixFEAQj5aCu60anYhgm8opE0/SoXqB4nne5XAl1AcOgI34oNEKIbd+Tu/613JrlPc/dGttsjHGSZ0pDU3O3w43oFFwwupEjvQcqU3BO9SQ1eef/s3fegVJU5/t/z/Tt5e7tvdCRIqCiEBUVxIYpGjWRWJOYGEU0tiS2RBM1GkmMJt9ojIol5he7RgWxYQFFEARpt/dedrZMPb8/5rLs3Z3du7v3XrjA+fy1e+acmbO7M2dnnvOe57Wx4HKmGtM9dhR+6yyc4Hekw34KUW3LbgUArqcpUQhzMBTqO/psa9tuu92uWRwYUTpFY4hdb4L0NIY73erSWEtP+TyNHbxYuk66PDoVJ8ZYVlU5pxwAKFXK/fKlkqdXOGs2ljy9ovipa42kiIb6DABMaCCiPgNA7lsPFT1/k9rXabx17vrIqYecFt7hcDisAsuyem+banECABMWXV++ruSUt1UtiDSXJKlfpxsufqhx+aqBaYswRW9tH34q0cahvkC4tjP07Vl2n2PIKXrpCd7RVdjufLlBlvdPo1qtFjZxhPWaXcEMDpFEfQYArzu1GSDCkcdnn33mdrv/+c9/Jvkf5Dju8ccfz8/P//LLLw/KPD2BQCAQCATCwYUI0KNJc9/gg+jlS2dee3K28brKR1dUZXUqyQJnHGzCXwID2lY9jHac4/OeMTXZelieAa80vJ00AAhavyxLw9cjHECcLo9EZ/Lc2519avRbRjN/IK9oeszHBXmej9HdEEKGxGwaGWoovMFgUNyH3++3Wq08z48HATrCsJ1RVTXkrBCLT5aA21Vw3t5Zt3b7jgm4JmCgFM4Vthaq7KitCeh2z2KX3Fk1ZcbhGvqkZ2Unr4CGSpOF7z8QE4EeCAREUTQscQ1Gv5emHUOIYRiEkK7r0aH0SRBF0Tjh4zdZrVafvynvo38Yb+3dtYEHfhAztEbLjkno7u0NunJTqRkN4gR59IxKelsamdu+f9GbN9/z2Y1XuGrzkvpg/2Lh2M7ipAhN0+3HXJBoq7Vxq6V+c//M0+01n9vBfGkIy7L+YLjHXYIARFFs+uGDSNfal17X8MM/1Z16TcgzmARSS65Zxuyzu4FWQt7azw0X73DBpJBtMFAdIeSw2ymKkiSpc9GPBwvjZhGKn7o2+i0GUC0u2Z2v2LM0i5NSpAnvPAAAQW+J7ClQrW6+ozoYDGpAiaKIy2cqDh8AYES1LbtFFMV4FcwYyZsmLmr8wQN3LisocCe0WjIIyPiv7/eu2THwh7e6NjfsXxOwoIIv8wm3nZV36Qk+AFh5Wg4A0CMb9nQMT67Zb4KBEHrknoWJKveHMhf4EjmHZHmTuU4TjmQaGhpcLldFxTDhIAUFBTk5OS0tLSTUg0AgEAgEwhEIEaBHkzzn/u9z+qTyVcunL5thxV6PjId56kIADAXZCcImNrQNryOcu3DqyRMSqgK59jR+6M6dH6VemXAAQAiJ065OtxUGsJfOiy6h9YSOAUVtLwDWo4PLbDYbz/OGxJzWcXVdH1dPVsPmV2QYRpKkQCCgqqphsNDkmV+Td9au6Tfsrrxid9F5uyf8tGHyTzCMgmSc3bvpMI97uvl3ybdjJnYqrvT1W+y2wfmz+C/ngJ1Lhg+vKIpGaH+KrYLBoGFHE1NOUVTu+seiS1hJVB9a7h8Y9FuPvtaSoOt6B2SydAYAaptaMmsYQzgYdDz404jRfOXbj1677sY7dv3p+/aGSieO+Ws5u4rN8npG5bgjxzV/abKtm98cmLkUAApevMvUh8cYOnRd13TdjWRAqG7R1bKvVFXVrD0fWXqbjGqOvZ+6aN3hcHiwZNt3JkeWg0Rjt9uz1/4NADCiaDkEAEgKRuYhXEgtfnqFsSAgoOLOOd827bbi8PmnnNQ3Z5lOszrLNy1fVXfOr+oXr2g46+a6Zb9puPgh/6SFAGDtaZA8RQhRXc5iTdMkSUIIBYPBgRN/BAB1F94/7NSOruuiKF5ynPOOZQVFnoQy9MJKHgA6xdgrd32NdPsrLf/b2hOUtbvOLUQU5bXRR5fu/56zbJncf35cHYqeU6woLzhhrje+GssgdQQDbVAxH3YiIxWBEIPD4aAoion7g4uBoiiKolL/iyEQCAQCgUA4nCB+dqMJRkO+T6vVuj2ckr3sgAIA0JdAkehTUlK+Llw07aiSxj+/G5uop9RDX128EVIOa67o/Z8Mp6Vam3BAcLg8TfnnF7W+kHqTTsc899DYzE7L1F69CgMAYAAEgBEgDBgAKIrW8f5gYUEQdF0fVro1haKoscgRN3aEQqGYKGmMsaZpkcxgsiz3AC/PuqVk5/9x4a4RHk6WwoIlaQTpoUzRjFnNFisKJZy0cPTGLsVAgIvX3l236JZQKBQOh039XiJEfpRRJ2LHLMtyKqkRk3dJ6DRZcUIrIfTXy7ovf8Sd5UtxHqKlswtZTfS1VMBZoxCJjDFW/nx9/I0C39s6a+3DholMb+Wc6sqFO5mCXDuzcOaEkR90tLDaHT2V8z3Vn5pupeUg17ZXpxlKU+0t38i+ykRnF8Y479V7KVXSWCFYdjQwbG/BdEf9ZmNr1hcvwRcvGa8bLn7I4XBgjLPfWgWLrzayBU4WZPoAACAASURBVEafz1L+JGvdlwgP/vq6YKcoypi0U62urgUXRwZPyeZVeRsjxTqed5x61QASMMZi1XGYtwLGDMPQNK1pGk3Tfr8fHfNdx66PAMBRs9FRs7Hh4oeMUH2/369pmqqqjRf9MZX5D8OZxDDKX36sk+X4zgH5/z7syrJR7f79Z+9H1cnuLTbWyxvr5WO75TNnuD1WprpTWVDBr6+RAIDJNP6hpaOnpGB/+sE7bzrt9nvXfvxFd3Sds0/L25BgGUOJh1l5zsQVT2aSTnBYeZFwxDJz5sydO3f29PRkZSUz3xdFMRAITJkyJa3kpQQCgUAgEAiHB+RmejTxumOXZyaKmqQA60M3UYAVHdloHNBim2gYYYxTWbM/var4bxWFja2d2+s6ZRU7BHrulOLwQGf23t3pfA7CeCSnal49RqVt/06lsgaM46jvxBR2583HgkkAF6Vr9v726NOLYZgMrA+sVqshgqTb8OCSomGIKIp1E6/wdn3ua3l3RIdTZDh8BWhEUcLDT0mXfy9RBVeHSTpNWhK91e/1TTgFIZTk5xAEYdi8fxkTGWDtdnuKFhwRJEmyWq2RtQI2my33rUdNa1K6IvzrWvkXT6TowSLSw4Q/Y1VFNA1me0OjIXDU7txe0jWMB5SnetPc6k1zAbov+tV485Zhl14JD5sL0ACQ+85fjBfZ7z+mnX1zD2MelshQFKVKAEArYceeTwAgkcV19rr/szQPKptFz1yPMO5c9GPRVYIQstlsCCG2twUAMKIMDVpo/qZ83V+bT7/OOLH59r1M/jRVVSmKcjd/rdMcQKwAnf/6fdoF92qahuRA0VPXNi5fxajhgudvRxgjXe1Yck3QalUEJxseiDRBCFE9rYLDFw6HU7+Con9KQ4a20fCrswo+2DUQrAv4pTSWJmyoCexoCf3y9Px73mjZUD94gUer2Gnxdd0QARohdNfNp+3YWf/7v2xuaR+cNC0rtm3YYSKyV2Wzv75wDkVRV37L948PRzqbSCBEWLRo0fvvv//KK69ccsklicRljPE777yzd+/elStXjrehkkAgEAgEAuEAQATo0aSivDTa1jNJjJseJ0wbJfHqs4EkSakk+AIAiqJKC3NLC/d7hnq23JOocnXR5ZVNj8eXy7LMcWkkvCIcGPInzO3OmeD6+o+MPkxsct+sWxx07NWNOfN4fKfYper6yIVjSZI4jjuM43qCwSD45vla1sXlIduPEVsOADqiKWwSUHkYfz8GvpLSujsfYG+/3nSrdaDZtNyze23/xFOTTHsIgsAwTGZR+amgaRpFURzHpes5AwCKoui6HtGg2UB3Emmh//u/TzE1m6ZpwA8zV4HGOCSz+IlbUq/seP3vcPTxY9eZDHC4PU1n31T42r1J6hhycO7r90k/eCAQiBV8AQCFU52QiKjPsM++me1tsRdOdW96xbHjvablq9j+NgCIREAjAK6nyRh7GX+XY8+n/dNOC3E2RVG6jvs+TVFFq1dGKhtQilT89ApAg8NIjCV0ztt/xjTjz50UoBl341dGoc1mK3zxV60nLGcqjpZlOUX7F1OCAXFeEbVwYt7vXmtNXYFGABYWajrCt5yRf/srLT8/Ofuv73Vm3Icev8kgMHVy6VMPlxiOPQghhNDM6W0PvFHXHRj89gpc9M8WlxYX5BrC34LZE3a1Bj7cExJYsLKUhUVWDlk5ZOfpLxokSR3y4fKc9OlTBS2lHJyEI5QVK1Zs2bLlZz/72bZt2+6++26rNXboVhTlrrvuevDBB0877bTf/OY3RIAmEAgEAoFwBEIE6NFE07RQOGzZpxSneH+JAAQahzRU5UB7/ebPdIqqZugDCsDoCVfImqrPABDwD3BZvkwPOASMsRG+Te62RwWHy6Wf8Nv+YDC4553cgc8oiJU4RSYH5lzriJs/wBiDmfRJa0owEDAysBnuBwihdONMBUFgWVZVVU3TDu8fOhgM7p11S8VX91HYPFA38uFN1WcAQHETA2NBimsmxoiy47/V8th/9KuXo/CQEwnzCYex9rITi/7xi+Yr/+wXAwghnufD4bAhOhuzeoY999j1WdM0m82GMc7MpFvTtHA4bLVaFUXJfe+viao1n31bQW5+ivvcXVuPckuS18GKDFIQI4qyZZKnNDl9vT32dL4NbqBL1zRqnK2BKJp5XM+O4zzVnyWqYCi8COt57/yl5dSfx49+tn1uGxng3vy6e/PrAFB/wqX5/70zvoLGDl4UTLAfAHI++mfNST+jaZqiKEAoRn0e7DAAmJXLVjcX7EOa6mzZ3jb9dGj8CgBKnl6hcda+WWfmf/wUfPxU40X3I543xurkPU9yIYSDgTuWFdz5agtNIUWLvWlBcRN0dywrUBSFZlhFUbJs9F/f65xXwn3eMIwO7rNRXYH9fXAJ6NyZtrU1ajDWeHzfcYfeZhQV5P3pyrxEO0cIHV1i/bJdBwAZQMbQLwFIAH7MWjkPB2dO5Fr82kf1GgCIAP9vh0oBnL3ocP53I6QOxviFF16ISVGwdOnSjz/++KGHHnrkkUcuvPDCuXPnejweAOjr69uyZcvq1avD4bDX6122bNmbb755/vnnH/az0QQCgUAgEAgxEAF6NKFp+qbnt990emlhng8SC9Czs6jN3fsfqzBASEMAkEh9BsAZp74JhUIZRDKPSuKv/t5OpfWzAn2r8S30oGLJe7wnr/LwFigPDBar1TLzXBXO7e5oDUthVulnwp2SrdjlK7LazFeRI4QA4/il+pSuIYQ0TTPUPbvdjjE2DQM0haZpQRACgUAkNHUk4XWHBKIo7pl+fX7L287uLRk0H9O1BZIk9TV9kQPbBSqoYrpDm8Bmz3O6k1lSjhEFpWXw2ofNtTXqS89DYx2UVgjfuTCnuKTr9b/6Gj6OqawxvH3HJgDI+c89wbNW8jxPUZRhWSCKIsdxDMNkEJicFgihcDicoh+LKbquS5IkULhp4cUcNomZDaD8CROnp7g3jHFC9TnqQkY0LWhSyJmdUZeH68O/H0q3iTb+BGgA8F54E/6deU6/aPiOmoJ3/tK65JqYkw0pozCm0XKAC/TEFOoU0zzvfOOso8UuANCsbkEQMvuPZIN9kdeWvtbIagxaDrq3vGGUFz/7SwBQre72s34ZwHSSEz75TIwoirefU7i9WXzhi/6YTQwNZ0+3vPjVoI7PUIAQkmX5i5rwgomO7oAGAIb6jAB8dspIYMgxSFYxANAUZFkpgaXsPPJYqRwnneNg1jeoQQX+3w4FAHj/6BjBP/llwgktUYZ/fx37o1d4iVxIGARjfNFFFyW6RmRZfvLJJ5988sn4TT09PT/72c8A4Hvf+x4RoAkEAoFAIBxpEAF6NEEI5dqpu9+sv2ph8KgJCSPXotXnVLDRmQczhgJirC91CtidGTQaQu/2/+bhndElXtwI3f8OdHuUykssh68H7gEmKyfVaEoAQIqEudgQVIUVPFZrxPQ2FAql7sXBsizLsqmr1YcNoVCoMecUvngpAgRYzWpe5+76IpWGfmuJMGYR0O2N35Sobzv3PdIySCtgdkLvzs7OYnvluRR1EGTBwvIKWHlrdIn3zJ9JT+7kg/szhmFAPdYpnsaPAYDtazNWLke7MKuqemBmNUY+N0ZRVCX7bq1wZrn2YvzWOnZi6ruqrasHX1EKh6TDrtyxmNPTdd2+98t0WylSmB2X9k0NS28o+d8fh63Gd9UV/O+B1jNuiAxrCCGkKRHX5nTpLZvnqfscAAo/H0wh2znpRG/NRo3luWAf0lXkyg6HwxzH2b/5CAAsjV/z/k4q1C/nT+LaqzXBTodTDfyPPg1cTV+FnbnCQLtpTSbYV/jCr2RvceeiHwcpzjRtbArz0NhQn+eWWr+o3y/Zqxq8+FXornMLb3u52c5T1y/OEUVRAmHdzvZ1O/df11cvynl4XYehPgOAoT77bJTHxbX4cUCF06awz29TWsIAHUNU8q4A/t+G3XMqfTm+DPNzAkBPb5+Spo49JXc8ntiEg4XT6cxsuQyBQEgdxDC012u66McEigJlrJbKUVYHUCmHZwl28OQOX82AOQL+XHg7MGyqlWkayOA6/pAU7Y+vbFdj/vgwqJpGUSh+SvX6s6fZLSn/6IQjCSJAjzKzC7jmgfCjH3X+ymkpzM2e7VY39430S87O2H0DwGo3z5aEAaHEPrYjDNJUtv9fHjZ3eLRBr179UG/p1XbH6C8YJySHCYtKnAANAAq1/xTVNG3YpdkRWJYd67jUcYuRlct4jYsWpyhAi2VLRnA1J6Np7+eVdGxksUE20xiqfQJXXD4eFh8gitK+fy9+4opIV+onfa/o/X8BgCrYWrrs9Pp1sGBRdJMD85Cv67ogCKZKXOrwPE/rMiRwX7Gk45Ih2T2Jfi0shxFv7uc+tN6IvreOpgZfgv+Imu/emLPhVXvTzvhNSjgE43JsL5k9X3+bofSEAb+Ny1cZfspcT7Pny1fDUxcDAMaYpmlr7aaW2efmb3k1SXNTMIChPkOUOpy96wMAkG2eAXehs2U79hWDKFIUhfa5+qjObGTzAIBqdTV+966yZ1bKFjcX6ovZeSC7ggn7eX9CM2VKVyVHTse3f2V8rkDh1PZ551W8vN8GhOtpLPx/v+mfenL3zDNj3NURQsNedzqGGUWWrU2hs2a6W/uk2SVWj53jGLS9OVTsYQDg6kU5WXYmHAoyDGMEPkfjEGKnxKbns21hqmXfUrDekPnpp2F4fYf4+g4x195w9WllXrc7eT9N6emLDdwelpKckU7MEw4bKIrq7e092L0gEI4ANA33doKe2oMJwyIbP0YdwZIIif9wY7HYUq+MXJn8ix1iqCFQU87vnVrWK8IBRse4psOvxhmvJULTR2E9PeGwhKz/GmWmlQ0mZ//9mw0Y4+MnFo58n6dWZR7mkyh1YUgoSNSkW5ic8eEAoGv3WnsC9dmAAuytf5hEjhx4sm0JRCuEWDaTKcqR5y08PBBF0Z81Y9hqGsV5K48eiw60NjckUp8NLJQo7jWJyT0oWKy2znPuNl7vmfsTQ332Fx/VvqmD3bZZoxmMsSAINpvNYrFYLBZBEHie5zjOiLgfu46N/Hzmoa+eWjRBf8V0q5DOyg9kNlc0CBv1fJUkTBVRIxlmuTWrE22q+O99lrYa0028zXzK86CDKCr400eTVIjO5ufc8Z6VZ3me43leEARM0WLuRM1u8keMEdp7yjXRJe2nX6vYhv/LtvS1OFu2A0DRs7/MCrQVv3m/Zh/Mu1C8emXei3dyrXsKX/pt6TMru2aeGZe0GADA2lmbRH3GAM1Hf6d92S2RM6TnlJ+wTpOOuXa8F39ZpSJABwPi0in8r8/Kv//ttna/dkylsyqH9wnqtyqYcg/4/X4LCgcDIi9YHn6/9/GPumKaczS+YuH+VBMXzLHVilQoSuF/e+8wcn+7qN/+ck13TyY64FdN5lOnObaEs3STytJYb0QgEAgEAoFAIBBiIBHQo0xBjhegAQB0DB9/+c2COVOLBK0pnLmuwVHYl5WhAN3f0+18/KqAxQUzy2xad/Qma7g5USvh6EsyOxwAaJpWIG8YthoCrO34OzX9qowPRMgAjmVM1zRRuq5m5Po9EsPcw4zenPmO7q1JKmCA1jk35Y6B5yPGuFB6w1SiisbHNNY01RYWlY96BzIgu7iiffq3VVkuf+1BAGibdab+xOrgrb+bvO2xunwXAKiqGhOSGcFIlTkWvRrh+YwQAqwrlCdRhWhPA4xxa3v7QFjGnBUpIRZr5SWlFIUiW819lzDGWEfRbipJo9rrGxvLS0vT/SAGlsZdpuU6RVO6Rqvmpig0M35vKhxeX9ucb+dueimVysXP3AAA/UUzcXZR3ZKVFkFoOecWhJD3k+dsdZuQNniqIIyr3v1zdMPct1ZFXg+74kByZPP+ztx3Hh6oPBZFLcJlpEDO2keMPSCbW7F5uWBsBHSSNUxGw/IP/6FxAi2HASBQNltRlESes5baTX7fEH8YiqJSWQqj67oUCvx8oYPmrLe93AwAK0/LdtlY4wq12Wyt/er9r7WatqUoqsBFOy3UQEi/8nj7s9syWXygY/j9G7X3/cCVrp3uzjbz4aUjgAHAwSG/HPv18vxYBdYRCAQCgUAgEAhHAiQCepSxWvaHrT37VUjVtHNnFiZ5UJxql8osiovRbbTOIJNqZxRluGo+4B9wPvZThHU22Mt+unkve7Kews/dY5kY7eCpaZqiKKmH0fW01aTYXTv0tO/6IMXdEkYFPoGzyoDDp9OM3W6evTAJJAI6gswnS/SHARonXJZbkIKlb/p0tDWySEqlZqH0zlh0IDNyTjzfveUDjbPsPecmCy36LpxPNTU2/ucb5s47McYHZW6DGZl4ijFWkIvCEk4gPAYDA8aLuqaWnX51wOaDrALkcIM3X8kq2h3QvukWa5taRFHc1RtEyGy4Rgil4+Ut48xNV0ythzEgKulKWDy+l7ZknXIBNv1izcAUDb7CgemnqaoqimIgEBBFsWHG2bXn/0G17Z9m0DhL4/JVmiWZ8YhOm0fuR0KYNU8B31HdeOyFkU0Ry+msT56xdZrHmw/pLZjcQBjqMwAMzDidZVlGM582cG19O8Z3SxCE1HMRY4w5erDyg2s6b3+l5b9bpX9tCN7xauvfP0gYo71qbbuiKNcvzjttmu25rzO3vgmpsHVvkyTJX+2uf3fj9o+37Onr9w/b+eR2RPHqM0cDO44nVwgEAoFAIBAIhPEPuZ8eZWiazrahzsDg08tDr2274dxZyyqEl2tiFSIa4QsL6iotO6IL68KT1veUDqgU2veANLlqQupH7+vukj571d66AyPEyoFo4bvk4yf7fRVocolbrkuyBx0xnVtepXOmASPwNS97wtVGeY9lklJ2hie3OHkH+L5Nqfe2RFnfvEvxTTo19SaEkSAIAoh+02QXclahDOAGSD22dOwCUQ9FFEXBCQIew6y7a9bV+QXDXDsZ4wx8AqlpkjwVau3u9GZlj1FP0qXr9CsKvnhSaN498PrGYF21FdYZ5fTjDzM/vDKRBm0aGYwQoigKITQS5ToQCFgsllAolPkeQrJHCGKMkNlsYjAgerNydrd0YFeO6amCOEHihCYMMFpGI6mnfBkKxpgyi3FOHnULAIH+Xk4Yv04FLMd1LFie/dG/Uqw/MGMJ1nWGYaLPq3A43PrdO9iuRswwjl3re+ec6/f7a8/5Ncdxrq/X0D3NSm6lzlowzfo+fAIA2hf/wr79XWvzjugfXeXtjCS2zD63YPPLACBUf95dcjQth2BfjHlan0uy+3hxv8fF3tNWVK15KLqC6szWNC1/zSOmzRl/N8/zmaX6tFqttV2K7B/StqZz+Cmx3oDG8wIAWDnmxkXuR9f3DEgZzl48/kmX/nHk40uw2e8R0HVLyrO8CY01s+xM00Aan3d6HkmkQyAQCAQCgUAgjAgiQI8+E31sZ2DwwaamR3t7464lx0w6Q214s2H/E2yxoF5U8KFAxSodZcKusoIhC5/rW615+cMbSWOM+176s2fvR0nq2LpqYH1NzXEXVugJ7WJ9wR0Q3AF978eUe0O74JtdA9WF1JyrucQLUTlIT7spVDa07NK8ExePh/RoRwJWORg0zbaMEAAM2H3WxNYHMWSmVhyuKIoScE6wD+yJ30Qt/UPuWJ7edqp7+Er7wP5qGDcCNBY8ras30rAxphx98j532c8TScnx5ydN0yzLqqoqCEI4HMYYp55IMxpd11VVpajMrZM1TQujLAqZN6coVN3Sjp0+062pgEMispisVND7uyiX2W4zzf+BENIYLpHPBgD0nXqxe+3T8eWKOAC541eABoCsBWfpnzxLJYgFjgbpWuHqlZSudX3rkk7fhOigWr/fD7wbAPqmLcWhMADIsizLslg233GUQ1VVmqYh0Nfwwz9lvf2wY+s7bZNPrmjeP9msMVz98ctLP/6XoT6DMYOSX+V799GwM0cY6Ej94zQuX1X01LXR6jMG4PLKGi+8r/i5GyOFxatXirkT+O4G873oGgCwLJtZEs6nP+3O4ESbX86/scNf6mHW7g1PLbBefpz7Tx/0ZHB0AIjPc9Mbxre9UnP72aU5PvO1KUUu9qsW83MAmV03pd4U0n4SjngwxsYKnmH/RHieJ/e9BAKBQCAQjjSIBcfoM7NsiGXzK1+L23bXz6gq+emcLAowACz29V5a+Ha8+mxKifxif9/+HDsYY1H0d7Y0BoNDUuj0vfhQcvU5QtFnz/XvUrqFicNXjcMpN1s//XUwGEhUgcZpi5IFyhct1Zsz6AwhA/JdyXw2dJoBIaU8aTabLTOp4jAGUwchRE7TNAal8UNY1dqx60y6lCRe3kEnHmQURbHZbNElPM+Hw2FVVQOBgPHYb7Wmke4vZucZtwUAiqJ8+lYFzLUqVQN1BOozAJiqzwBgrj4DgJmNRooormQTFXKeuZm4M39MfGZGEZqmW89cmWJlIxLZuW2NV2yz2+3xSX1NrR5K//Or4tXX+Ta9XLL6OltntbVtV8X7fzM2qbytec53G+cvr3zvEUbe/ycu9DRmv/MXjeEbjr9EM50jBAAAnRW6j78I00zrub/SaQ4Acl68CwFozOCscMf0JY0XP4QQKnr+5pi29naT6TEAaDvrxvofPAAA0UN6vHxmeDQJghDjthwOhy86NqHveRK2dUOnX/nfzuCpE21//rDni4bwVcfw50zmLpnnymBvpvzhzfpEmyqyEyb5jP5FK7yDq0vmTMwdrV4RDldkWV61atUZZ5wxadIkt9ttSUpms6QEAoFAIBAIhzREgB59SnJiV30+ur7LLwbcLtcvT674UXHjfPcnqcc9IATuvheM1w0b1sEfL7A/cmn26uusDy/X//j95g9eBQBxoN9TnTCoOR5Lf6v9w7W7mVNSbxKBAs218bZEBosSMtdH+iHZw1tF+H8knPbAYLfZBH+ygFnR4k5FgAsEAjEiIIHCB8G2OFGYcDuabVrOoHF0oSGE1AWLzLc983gSh3EjThkAeJ6nKCqiiGGMdV3XNC11+9p4RtIWAHqoaU3Ut0w3Be0HOva8qKAg47aKJ9mgnbP6LtNyhk0ono4fimYcK9mTmbbHwPU2577zl5KnV5S+eJtbD7kYPW/X+z5/s91uj/cN9/v9e5bdvve8P9TPOa/j5CtjtiJNLdz037KPHos/CqVrXGhg4lv3RQLP+4pnRVfonn9B84X3BquOlbNKcl+/3wji5sVuAGg577ftJywHgOyv3wYA70dPRSykk6M6s0WbLxgMxpz28QOLJEkWq+2Nbf2cYLXb7ZHLU9f1qhzea0svH8CCiTYdQ2cQA8D0fH7lSVlNA+qjG6VXd8q5TnbFiYOz+NTIIkQlDd7dZC67exzD/38hgJqeQZXQaSf/d4Rk9Pf3n3XWWdddd93bb79dV1cnSSklZiAQCAQCgUA4oiAWHKOP12MSv/O3NXtuOHcmQgijtBOpc5TcXPuJ8MGrJR17o8spXSvc8BTe8BTymgejJQEBlH3yhGj14JlVDq09zbY4/OlDluOvi98kW0ohWBdf7oJhDsHufhSmX5tWNwiZMam44KueEFAJJp8oKmzzsIpCApzTAiFEK/4Df9xEKm0uTrSqYHyt+XVfc2Ng/br4cmrDR/yV18Ss84ggSZIx/xEIBBBCo+VFjhAyAjxpms7YxMONq314e/ymankOSCHgD+BCfoxHMksUPuNyx5+/TKuJxgncIZKoTVjxmPSny7lAep4PtBQseOXuwTc71gJAKG9i1yk/1hEtSZIx84EQQggpioIQChdNa7j4IQAoXr2y5by7st95BKlSy3fuwxi7v3wtXDjVvfG/bH+bf+rJ4qQT8l79A6XKGAAQ3fTDB5Aqga4FexZo+RMAADrrdbsXmr/ROaFx/g9yN/6n79SfOtc/2zpt8eTXf5f/8t2K4ACAposf8nzxoq021WQMrctulcWAw+EATXVaeIyQPximadoY/1mWFQRBkiSWZWs6pac+bQWALxtaAGB2iXXxJM4IlA4Gg9ecknPHq60AQKFBQwyWBlUH09mcci+9uXWIwE0jOH+W899f9tX1qvev67r+pKybTvGt+qCbQiBrWB1BYss1O/0nztQYJnaczMvNplBDvHdHNJGNNAV2MuFKSMq99967Zs0aADjmmGNWrFhRUlLCJUj7bEByOBMIBAKBQDgCOTSeFQ8tGIZx8ahfGvJkU9urhcKS1SIIzgIws9jdq59WRa1JtE8bbrAMVZ8jIABbT4bL6rlgL3z6ee0pPyr3v5dWQ5fc2FD7TV75lJhyxjsVgh9k0BMBxNqGPQUlaWRcJGTMJCvaFdQTadAyZ3EJwrACtCiKJA9hBI7jhGBrfPmIgmlTgGEYHSPKLOWdKRrONC3d2ODJ8iXy2kj+fB4IDLYzDVimEs2vJMDhcKiqqiiKkYHQbrerKZuhR0PTtKap8SuLdEz15h0L4eCYfvlYkZESRlKQ797LhHocYhMsvibjveUWlWiISjGQ1qD7zJ8WjBtX01A4XN3S1ekPAkBlrifP64rRg9hr/9Hz2t+9294ZyVEsbbuLn7nBeC1ll4UKpvCddT2lc/SKWRpQQvueUE4VhVDnaT8bUJF+zk3hcJjHGCHUMvkUq9Xafs5NGGNRFAGDdP7vGYbRdR0BIIQwzdHygJZXJTTv0OSwVjhRZ6w4byIC4ClKqZxQ/PQKAHDVbgQAJtTPhPoBoGj1dSidEH7Xl2/Y7B6+s85atxnpKgA0XPwnjAevL0VRdF3nOI6iqMauIbNBmxuCZ89wRDJ26rpuYVFIwYake9Ec63t7pKsW5d32cnP8QWt7tFwvI+77h3nog55fLPQyFHz/aPe973bpGO5/r3vFid6win883xOQ9Wc29afzmwzBL8O1T3/ltaBfnFqW4xtiFbKokl+7d5gw1dMnsG/tUabmkFtlwjC89dZbLMvef//911xzSv9JewAAIABJREFUDTF3JhAIBAKBQDCF3FWPCYUuur8jdgXr2i/2nLPwKIc7D9pMmiRRnwFAx6NzO9tZuTC7OtYqOowyMXAsbHhCKf1DjNDjdHvVJpYBE+2yU5inYjbIFlaK/zHdYcnAi7L+y3SVI0IGCIIwCcK7+4OYN3fb6Hfk2BVlWAEuFApZLJaIBnEkwyQ4bfvtE2xj/Cwq4iwn6hq+HgAABJnShNanB4NEgcb69bdloP9GSNdGA2McfRqLokhRlM1mi8jcKaJpmiTkAN4VU75TOR4AQLDq/l7Kkcl4a0JfBx3qtXft4ELdtkCzNdRKxYnFIUVh2QxFb4qiWpb9Iu/lVak38c1dmNmxRhdJkt76uqk2bHxwAQC+EkNQHTw1n55esd+imqKorGVXyadf1t/ZCi3Van8LI/tZyW8RW7lwP2ANAHWULkSBkG/ne6mounxnHd9ZBwCFLd/Ap6t1hpNyKrR5Lr6zViyfZ6Mo2OcSw2iynUG27esoORiYeIJX7FazS1SEAEDoqnNsX2dt3Gbss+2471haanpPutTv94MUsFgsDrE+b/tqBDjMCrQSe41E+okBgtkVgewKS3ejoz32hIzg3L42psT3wRNdJ14WeatpmiRJrf3ae3tijyVKwO7L2BkKhc6d7dnSGPymNQwAz24KUgg+2+sHAKeAjq9y7m4L1XTt9/85rZJ5aef+e6SHP+o5daKNZRCNoCKLbexTHvqgZ2I2JzDAjkagaE8I3/la7XUni1VlxZHCby+ctnbvMDH+b+1RAODkqeMlcSth3LJ9+/a8vLwrr7ySqM8EAoFAIBAIiSAC9Jgwr9y9oyNWEnprj3zOQmA5rk/NcTPmae43+0+c4fgEAOihGi4eJbduS39LfKGKMjkNaKy2Ne7MLp0aU95Pl2ZpJsHa2eHPO/k5idRnAKBB7du7zjvx1Aw6Q0gXQRCO4vk9ze0hu5kchlC8t2k8mqaRZaQAQFFUdtNbppv6nZPGeuV2HzvbqSWbvhqCI5Pso2NHIg9rwHgkJjBpGWiYBvLruh4MBgVBoGk6LRk6jHzxce9Bz+DaDh1QekO5pmJEobhpOap559QtDw7buvXrj0tmn5TWAaMpWrA4+O7TnD8ln4quM3+axx/82Y2Orq7ndgUwxMvuaG2r3heqXTBtiGMVx/PZRWXdLF/4XxNf5vyadwFAyc3qch+VvTO9dUKUKltadlpeuQcAvJ88BwChwqlUWOS7G4wKUnaZ4sjm2/dmffyM6R5Um1etOLa9bD4HYLfbHR1bsre9FolJx3E6V9BX1l82137UCVZfnl8csG59rDj8NS6C7omnwJ5GWg5L06eF+5n8r15L0m1rw1ZJ0TTa4rIwCIGu62t3+Nfv7UNx6zkeWtv+m7PyIj45pW48Kc9zx6ut3z7ao+vYSsvPbRrItlOdou6yoPPmeR9Z1+7ftzJs9ecBm2O/HRkGWLN78CpDFJpbbEEIzy22flQTPGVissS5afGn9zofvCiH5wePixCanM3s7BzGu59GUFmYM1p9IByuCILAMIzFcgBNlggEAoFAIBAONYgAPSaU5zoATGIS+/v7XS5XyHWSO/CCacPZjg8wNrFpxXh0BGh7V3V8oWXAxDogFYS29RAnQGsFi6HR3C3EodQCAAYkUW5B742vkC1v1oAI0AcIhNCEwtxt3SJmTJwKB+w+LhxOqA/uIxgMGs/zRsodm82mquqw6XcQQiNM9TausFkF5+6vTDcJ+bE2NaOOr3Ayrl+TStCVillv1vgK5UvkkonWvE7/9PrMjJghfQsOUzDG4XCYoiiHw6Hreopm0/EntoYp4AaVWWxz6oEByuYcfKvroGsosS0KBhSvPoPYO2XLn1L5CPn1b8AIBGgAEH7zZP9fb3HUf528WqB4Su5JZ43kQKNCR1f3s7sCSYzOv+ijqzq78rJ9MeX2NQ8k2S0ri7mdG0RPobXXxFAidSzNOyKvdZppOe0XxgmmLrk29+3YSHPV6m7+9m/C4TDGGqeHKzcNzjdgQPXTryidtYDXdYQQIIQQkmWZ47gshskCaKzd4/jwzly1z6iPAHzB7bgQAAAFNgMD4WOntIUq87e+btrJuhMuvefNdreFKnAxty0/Yfs3OydnKee693iCu26sP6c7sD/KXsfQ0qd6+MHBXNM0XddvXJq3bsfAObM9PSIHEOwUdYaCFz7vix/uz57MvrbTZJJpd4e88Fi3lZIp0Jv7ZAAodDHN/aOT4vW/n1RfdPL+m5YfLij79UvmtysRBBYcjlETwQmHK1OmTGltbZVlOTLDQSAQCAQCgUCIgdgdjAklRQWm2dtrG5qq27u7g1qrXJaoLUJDnp4xBoxBzyh1WIoKn71197Bt97pOj6/jCe2OV1tcLk8QuU0PJOg9ANDHTRqgS0wrMCD3dJnHhhPGAoRQEaWaJorSaUYQho9n1HVdkiSGYRwOh91ul2U5ibJst9vtdrvFYrHbD5/neavVWrnlD4m22nyFY90Bmqar8aJUatZSS8a6M+mSaLUy2rY5Y+8ISDO/U3KZW9d1WZYDgYBhej7s3nRd14CFfUM3xlCnzICoj6kr+6dnEEVF1GfTCwfRdPzlSQV7UWqjOy9lbp47eCyK8vzi3tbTLk1SR7W5XNf+8aAvPFdVNbn6bPBOjT/mq8YYCwMma4OiQVi3o55RnDSjNLX82evdagAABlwF4ZyKmAqdS34RCAQwxu5wb9F/blNpiw5U9bwb2EufqZp3MsuyHM8zLFu762vqtSuFt39OvXal/tKl+kuXFm65h9+nPu/vf9T3Iqi9ZewXcMzE7qrjoz8RBmg49qI7t2UDgNuCLi/Zqb10qbv1/Sq8u6D/U1qXflcRmy/0Hx91RSe6DIVCVhZtqg/e9Uqz1846BBoAVN38ZF2zwzzFKAA8vqHvyzZM0/SMAuHed7taRkl9BoBNTUOMRJRg7z/cf/uH+2+rcv/fVUebr04ocpFADcLwLFiwoLu7e+fOnQe7IwQCgUAgEAjjFyJAjxWl7lgFhKHAO2Eq6/Ly2fli0VnblNPjBQcN0w39FbtaJ+5pLG3ZpIVf+Ux5eb3y8nrLe+9m8Ogr22PjvEyx9dTFF8Y8xFf1mzgMUKCHgiYhgWrVFUkO55F35ihfyZS5lIM6Yi2qCWOK1+uhQ37TTQGLOxUjDgAIBAJ+v18URUVRTJtQFGUYHYiiGAqFDqfwZ2sooXQV4rJ44UAsyC2unBHUncnr9Gi5JWVVB6Az6aJWTTYtZ9uH0QSTEAwGR6JfxyBJUupTJqFQaC86M6i7xfXV6prP1TWf99smRVfAziwcNpHeIgIu1jWQ9xtSYzU2StTWFatxBIXcFLuXGcVLvtd58g9ML9r+KfOFO58d06OnAsb4ja31qdTsUelweMgSjbamelNBX+WHXFMIcOv880fSyXjyX71H4HkL0vmOWgBQnIO/Y9/R56gOn1Ngc+s25L1xP8K42bOAXv7kpOlHR9qK/v7AGzdW7flzZofmtYECV037qRcZn1yxuh+fcevt3xSxFPxqvnhP1hMD2cf0OqbnDGwu6f0AADgt4Ao35Dtjb2zueKVlQ6Me1AXOYrPb7aFQ6I5lBb85p6DLL/vDmtuS8CazO6BP8iWcKPq4NnTfuu5vOpSbTvFdMCPhVCiF4LKjzVdRmBJWoa9/wHjdsmdr0Ya7jddWqevomkf/7v4bF9ffc2Zmpb5/whHLDTfcUFRUdO211+7du/dwusMhEAgEAoFAGEWIAD1WnD83dqn7JccNMdsVCqt28BfK+uBiPYyhrrdCe/nDvHVPlX/2z9IvnvE1fErpg4E/fLArkJ22eMSLKaUmY0Ox0VKpI4dMBGie56tt30nesIefaVpu1zsz7gwhMyZkmWuXCifwFvMshUmIdz8QBMFqtaZiX3BogRByWZjCPU8lqtBXcOIB6wxVcalf9ybsiZZrrbzggHUmLdTvXWxaju67PZFBx7BgjFMPyE3dr8PIt5bK0ZvZRUJo0DpZFxwxFVRdw/pg2DXWNCz240j+QEUu37qq9Jt/RAKfERv7JVj8sUYQ1nC7aU9UNu3rNxH5Z17kv/GfA5OPU6xODEh2ePuPOjH469VZl/96tA4xEsKSVBtKdcqhc58EaUB31phW65p1XkxJ8a5XeyqPy6B7SSh9ZmXRv29BgJtPvLLnhAsBwD9poX/6KUVPrSh67ibPplcAQOOsjrlLouP6W/Zssa5dYVVSzT6a8Oi967oXfTfszFlh+fHHdeqCcvbxquendb2oIYZiuFbPfG1oioizK2L90DHAh7vFv77Xcffrrbe/0oJp3nBYorTwrEJ2IKwvmSIkytHKwzAeOw29Csa4wCMIjMnlTFNw4WzXs1vTM4v3iwEAaNu5sXTbX+K3njEp9iyqLDNfsEUgRJOXl/fhhx+2trbOmjXr5ptvrq6ulmVZSwwRqQkEAoFAIByBkKWFY8XEqgpY0xZdklVSGlOHc2fVaZcKze9ToDo+frtgYH1kk8I7WWnIQ/JA4VH2ziFmhd3l87NqPx2Fvo7kPhjrAdEfDIgAwLIMb7HzPE9RVGHZ5LYdk/LwrkTt8kIfm5bz4E9J4yGMHjzP053tmt3EOMVv83Kh4LBO0NEghIxwUYSQ0VCW5XB4yMLnjL19xxV2q1D+1b2JtmJArqknH7DOIISY8h82N2woxBuGdgOa6YW+sqMPukNCIvLmHWM6A4b8AxzHybKcwT55ntd1neM4lmWND55k/mPYbyaSpXBYqZplWUEQos06QvY8iFOQQbCpUpDhLXjbF9QtN6BQCChKX7IULvvJpPrHBK0fANj6TUrZXPNPJ5sY6JvSUXhyXopVU8CbkwtX/MZ4zQKMmrY9GqzZ0QSQ6nRFS/dASd7+tHJCk7mBe96Gx+ML7UobBpSiBUrqYEQVfvAPAMAAvTOXFvznNuMQKmcNFE6zfW9ljmv/+Nxevzvv6yGe0TFdai69QBtoK+l93/RYzaUXFNY/H3lb2P/xf2deVdWpXpi7vVT8zNiNwnl1XXfrPZw+JFr/aPUTgGSGP/e91Q4A0/LZum5V1nCBk67IYroKuU2NJhfyhjrJ6+ZDSf9e7lvXPauQN/3CKYAd7VJYTfu3CIr+oh0mOScB4Dj/Wy/DKZG3NjahTz2BEIPVal2yZMlf/vKX++6777777kteOdFysRGCMb7nnns2btwYv8nr9T7++OOjkiCBQCAQCAQCITOIAD1WIITcAuoLDz4aOXizXFIAiGZ0YIr5b+pmLS748MmIEBKjPgOAuy32IXl01GcAhBNKvp1ZJ2Z3f5CkLdf+tgdaYwIvg+BpdS52wzCZ6ExhQQ6nE71IGBUm52VtF01EYcMJOq3gZb9/0NDDWI59mOUbjGC32wsSxz4DQEf+Kd545XEsoSjKVzY/oM7z97VLA40IUYKr1O7yZadjiHzg6bz3jkSRqxmPA0ZuN4yxoV9brVar1UrTdDAYjJ/8UJRUIygVRaFpWtM0hmGiZ2UcDoexW0mS/H4/RVHhvkEv+wHvROOFJdgXskbN8fBWfeP7zC03Dr7Vdep/b3jPnm6ozwAwpeO5rQkEaGuwzbQ8Hq5yfoo1D3VqQmlca9rQSHaE05hgo3QlvOKp/vUv537x31H8l4r8CyOAkhduDXmKKEnsPPP6smNPjsTP11Xv5vr3CD3bff5votvqFFsz5XpG6pNZV3bbmu6CJQBg0WQwm6doLf4urcZGMZ8b+idtUyBqmG8r/V4wGKStxTFJkZ1Sk51HojTMkL69VUEAPIO8NurlraGfnJSzqbH1jmUFd73aokc11THMLaA/ahhySZa6qcZ+PbralmbzewlFh83N4Vl59Ja2NGY0BYGn1/8p0RSCO1AX/fYHc4axNiIQDPr7+4899thduxJGXRwwMMYYY4/HE5MLwe12k1trAoFAIBAIBxciQI8hFx7tePSTQR15cmKvw5CtCqnbyr175XNO7t004GneZFrN1lsvWdzcCOwyElF72g0WKypteS5+U1bP+vjCCHXe08rhy/hyK/RWDvx71PpHGHtomqb9nZrDxMOhz5nrThpAmghRFK1WazBoYncbCoUiUaWHKAhrlkBToq06Yjxzv3sg+xOBYRiPrxDGPvnhqNDe2MBuNF8MAQBphd7HELHLsFgsxkmIELJarYFAAAAYJu2ZFQBgWdYIhwwEAtGu0JFJFwOMcfnXg8OpP2+68YJTwqHoOu2N23OnRfsQ4fLyQv9n0fuZsOm3e6quAtdQK39dZ9VUu+315Qxf6dBnYCB2vjY5MVNiirsYmk3+yEzpPvm6PLvdevoP9cUXBQNi+zdb7E1fW9t3W3sak0zlpoJicTWesNypNWWLXzlA06GksO356s+V4pknNX71fmnzCyXYXGatnXQtAOpTWBuH3H1bgsgWyl/gt1XWF3w3r/NdXukDgAFLqTNUv2vi9fZQQ3bruzF7oPGQORgMSKLsAEGHfycA6Iimog69fBZ6ZMPwc4oYIKzirS0KAOxpl28+I++3Q9VnA1mJ/dK6g/DLRb771nWlOHE5t8zRFvC3+Yd8OTQCLUFztXmbPdiYaG80VqIV7Xkzp6bUCcIRz913322ozwsWLPjRj36UnZ2dPBfuWEci33XXXaWlscsuCQQCgUAgEA4uRIAeQ+bNOurRTz4GAIaCE4+dkKgasmdBHwAAR8m584TOWeezH623Dpgk4GJ1MWzPEcSOUexk15TTKmYdAwDdvVuyQt/EbKUSPPHqQO/1njGJ+mQUe2IQABdDYjQOOAihqmzPrrDZNl3TqAwHiiThNrIsJ5KnDwnsfckCnWqmXVNKFrqmgHTdlYm+JlxYkpn/Rgz7k/thHAgEDF8OAFBV1QjPZ1lWkiSjpmm0vrEHQy+IaM1JxGuMcdg3gfe3AUDYOeiBMeDIAYwRxowSllV1q2wHCuG589AXnxsVyq49AaRGHdGNOctK218EAIvWN2PX7zus01snXID4wWyWWA6ZHdOE6mk/PkLkh5b2DlP/jQILbgmZDEEu2xD7EKViPmx/JZUDybwrr7TSeE1RlM3hrDjmW3DMtyIVVFVt3L4l57NnuYEOpKmUKqdo1qFYnPz0rCm9/4mUGNpVedNz0PRcedK2ld/8EQD2TFxRWP88BuQTt9dp80OhUIjJD5RdzrIs6Jqn5/O9FRdhORRyVnGNw4y61dNuDvr9AOD3zvZ0fMRpQyKmZ/nfBDg9lQ8V4ZkN3Yk2yXE6sSjr976bhrf1Y5+ZzMonUp9pBIXVz5tv28d8W8MWKAQAhoLkGiKBEOHtt99mGOaBBx645pprDnZfCAQCgUAgEMYpRIAeWywMSBpcvbSMESyJ6tC8RdY5jhqUWrLZZlhU3hheYt+wztrbEP34SgG2KN0Ncy/I3/oqI2eu3AWyyjWrW3Vmo2O/7fPtS5Y4+TzYfNewbXWg6rKWVKKNk2D01WcA6HedTFLOHxQEQaC72zVbnBM0zfgdPjfWxKFhnqkQCARsNpsRcxqDLMuKothstnA4jDFOMb3bOMFqteZsTahYhTlvaeWkA9mfQxRN06jehMoUvvaWUfEKj5kFkWU5omtbrVaEUMSyWVXVGLPywZ5gDAA0TacYMU1RFNtTZ7zm/e1BXzEAYIScA+1Bq4fR5O09qvHn23bZL/K/WA4A+vLlTqleRXxd1dWqquqIofb5QuQEv8756tf1rhP7yxcDJ1ChlC7DMJ9VMv3YVGoeBnRK5rMYOjafAKssGBJU7isoijGaMAUDDJx9R8JEnwAAwDBM+cy5MHPQOwVj3NnSRH39Ad+0g+9rYUP98ftUrG7JmWcrY1ilCwAUSqAANJrnlNjKSTpWX/VjTPMNRecZ6TdD+yb2JEmSJAkhFLAcxckyx1kwxhot0JrpZCMAQMBWHpkXxBizWuydhl3pmJjD7O7IfHVCbO/TgUYwIQstyu236CLGaI+Utbmbn50lWS3Cv3foAgPhpP2alw90wKSG6Jpo699tnANVgS8BCgHgh7Nt6XWOcASza9euvLy8yy677GB3hEAgEAgEAmH8QgToseW7M+xut01wJX9ohU6ttJDaE11SLOyGE4t0XFy/y1m4883oTSXb/iPZsvzuIkfH7sx6JVzyh+i4Hoxx1971udKGDt8xtr5am9qZpG2z91uVyCS9yaiAAdwFk8do54RhKXPbqxPY4fY5c126biolJydJELQRkcowDMuyLMv60xe4DzwWiwUArOHWJIGN+ql3HaJRcz0dbdpnr1radtFKOJRdps9e6q2cOnYrhdvqahNt0h95JqDrMBrTEknOQENos1qtoigihIzI6BgMK3MA0HWdoqgUZ0oYffBCcrRtC5bPNfox4MoDAH9P91wH+shPA6Bma27++d/LWViQG/wKACTGpapqKBRqzVla2P5a9A5L+z+ALR9szzrvnWp+q/3Sc9U3LOGES2E0xMqL77AeMUtJagLmn7Qtgcoq8Hz0W5qmRW+lo6c6+VGaz/p9QU56OR0RQjmFxVD4QwDAGPf++4+evYMTt92V8+kijze4XdAlB/TBvoGX1cMAQOsJBeJ49k69WZZlOfHgbMygSJKEMc7t/yKJ+gwAOsVwHBc5500Huttd/3wx57L/fj0KGvSARgGkepmfWykv6X+G1mVoHSyZDHA2A9APcsD+b/hBcvUZAM60bAaz74kPdUTOIWe4OcuCukP42FnEf4OQKsZtjM02XiYtamtrd+/e7ff7vV5vRUVFUVERST9IIBAIBALhoEME6LFl/qxJjeEEQhXWARAgBAB91tmFyp74KhTCiic/vpwPdnOot2XmuQVfvZxul5rnfL9w6KpSecdjRbgDAHKhGtxQqy0u633HtG2XMKmY2pbuEVMHAfTUbsiuOn7sDkFIgt1msza3BW0e060hi5MOh9MKSkUIDZvhTVVVI/LUbrfruj7OTTkQQrZAQ2H1s4kqNM1amWumY45zNE0LrL7T07ojUiL426Fmg8YKXef9NqckuQdAhigfv2/6D4QnTw8jNJKgeONcMl4Pux+jgpG0MH4rQsg45zHGKQrQPM8zwcEEcJbAkPk8PNC7W7YwtGxE3AqgHjWnE4KdACCz7hCXaxwrYK+CdpM9/+tz2NHiB4BnYfEZ0/nlzBu2kElCwoC9mFn7OwUgbMkJHnV+bv6hYQieMfrw4cv7mWxT4oUY+pxb4V+XJ2nVdPzPC0rKMuhbBISQ94Jfin+/Qcyd4HZ2F0i1ICacgEmduoorgsFgKqel4WCe1flh8mothd+OBFAjhGTaFmPBAQAI4LvSPytmL71/c3bcDtJg0SRhQ0uql/kELzqj94nokjDjEtTBOHFOFUtdqL4/WUD1ypN9uV9+ZrqJlYf4eMzM1rLdVo479EZywsFi4sSJ3d3diqIYeQIOOg8++GD020mTJt16661J8hCahhfoun4ILVA7hLpqinEHMnafIt184Gn1ZCxTjaeyQmn8kc43MnafMK09j+kXnV5P8Bh2O43raywvmRG2OiiM6Rhy0In+dOO525F/ioPdkRFBBOixReB5ra+HFqzxm7AqI2YwDot1+2CfTKEB2wwn5MFGDoIAoNDm3h0I64U7X6s77kelnz0Zu2dAGmthFBMhr3nO9wsWfS+6pGXPxnI8JJKunN4kZxW1SqUl4pDkYBjAYtfH+i6gKPxee+8kt4f4cBwcqgpyt3UHMGPy4C3zNrfFklbeNkOzS7GysWe73W6Y8xoheOMNmqaTqM9tvuNzSw898w1ZktBfr3SYufrQSjj72V+2nnp1/tyTRv241DuvmZZrv7xDST/WPppQKJT6TEk4HHY4HJqmxVtOUxQVSYSIMeZ5PpW8iKqqwr58dLa+WsDYmGgEjHf0YwBqR2hw5J+h7p93bCi7HLAuiwHjWPG31F2WyTta9vfwza+lN+HURRPZK23v2IPN0TWd/hrjhSXU7vlgm99RwS+99TAOf/Ower+a6qc7aUpRfKFgtQ788FHn6qviN4Uc+fp37iqw2eM3ZYB/7omlHW+CNCo7gzDnU4UsXRz+YuE4jg22VtS+mPwfvDvnW9EDL0JIRwnvEmeL/3tisuNV7qKXtmYyVvMMfNmW6g00AliJHo95pFdYh6D2Y0AAGAH82L3+V/0nJNrDsUVMRWmRWdZkE47xiSivNMniCQIhhoULFz7++OM7d+6cMWPGwe1Jdnb2smXLiouLeZ4HgLa2tjfeeGPXrl3XX3/9qlWrHA6Haatly5bFhwu43W673d7b2zvmnR4Bkefwvr6+w+CaDQaDY3T3q4v+dKQ38Pv9oZR/ekVKY9VOWuosxoAhgZ2WaXWcemXQdZz6jZGm6amvbtQ0NY3Kqpq6HKOpKd/uAGCsp3NNjKGkhfU0BARdT+Or1jWdTnnXsiyLKZ/VEgYMdIr6Ntb1vr4+Np0z1XjR12eSx2J8Ela0tM6Rvr4+TTpklMbIL2Isij24nUmC4RVJBGhCMhBCVlWSwESARqyw/zVF92k5broDAChQJOSsh8UIq5XwBk0nu10o27w6UDDB0rI3ep0sAmyqPgOAUD495qIqldbFV+NQqFTY2cnP4fzttC4hrFKgt7jmV8LnST/u6JDT/Lew65bDWC4ZzyCESjm9bvRm/tIdxCMCt8PhOCRMOaKhJi452F3IBO3xlUJST/m8tQ/3FE/25qbnPzAsqN0kehfzgpESMGNSN8qIkOhMYxgm0hnDMSaRp3lMB9A+VwFGDdPdzZqvCAC07jYVhkwoTux9y3hRX3oJxljcpyRijAFirQlu2jgVIFZVX7dbWQcnnzrNcrX+L1o3X23g8NdIL1+Pv/3geL6jGgkTbVpdKKWbmal2NcZ/I4Ld6dauerZ+w7vlm59AWAeAgLOoZ8FPCkorR/F7K+l4c/hKQ8EAYdbbPOHHeQ3/sYtDfEKaqq7wpzYjyHEccKW1npWV23+f5MP0+o7H+3aIEPJ2rI+EGJvCa/48aqbcAAAgAElEQVTzQn//zgTqX9QV75onsU3I+XPsL+4YZn1MhD8Uv0sHYis7Qk0yn1U/8dIJ2/4IANn+rx/x7XnJdcWa6thZonwHuvjUo1KPZspveZebvSjFygQCANx4440vvfTSNddc89RTTxUXFx+swRYh9JOf/CSmcOnSpXfeeeeePXtuueWWVatWmabWFEUxfnrV5XJhjA+hB91DqKtJGKNPkUH04uHxfR4cBJvOmsx2m8PykN7/5zhhrE4PjHiVNb9VM6lMWzBKtXKYzR5AqS5SUbGuq4lSGseBMGYyuWAOoass3RHh0B1DxnO3x3PfUocI0GNOYV7Ozp1fc0X74iIVCeJGVazrjXieC95AAAhgAn4VAJrg+Do4FaF22ZHL+dslaxYrDVBa7DOYrbtGtduxrDPy8GFQwcbdWRVTIm/9A/2+OEUjQjaqA6fxkgKgRq4+yyCowFthmNxKCKB5z+fFk46UDFrjDZfTKdQ1ht058Zt0Ku0RI+PHML/fLwiCaVK4g0iScT/E+TzZoyzRHgDaP38vZ8DM7mEorievxb98fhQfqlv27Ea6yeCDz/1+KlHGSaBpeljjl9R3xXFcIBCI/O66riOEkv/9I4QwUGjf0Fqx4dE9Z/wOAPaE9i8soEFf1vccqw8GOsmMO/naApHLb+tPOFa/vzN0bVWyj8zL/fUb3yg89qwkdQ5dJlVVvNPVPGw1D6MtnlmRpAJC6P+zd95xklTl3n9O5eqqjjM9PaEnz+YMu+S0BAVZTIigZNELgqKIeg2gcr2iohhAwYsoKC+IYkJFkCg5CEvYxIaZ2dnJOXSseN4/aranp7u6u7pndmZ293w/+0f3qedUndmurq76nef8noZjTsfHnG59uqJVim6WMAy9a9tLi+w2qbTMGZOfvgkUtX/iwUDslrqrrAqZiURiX9UHF+39JatNWFt3L7neoSk/QkiKtsXdzZA3kwcDaNO/eow+sb32E8s678ljeQ8ANJhXmHd9ZGXtz4ZO39ZXYOWBxKEzWqhl/uRt7zj9klbJyBfbY7spKdXU755aBMaYynmjPx+tuur13qkBLy6nr920GiFkYqfzUjGp1p1jooJAsKW8vPyf//zn2WefvWHDho9//OOf+MQn6uvrGSbnLZMoinMmUns8nq985StXXHHFvn37BgcHKyttblROOeWU7GVDHR0dFEUtEFORXKSWLrEse7BPsqqqStO07QzBzMEcF3X+/4OAZVnW8UdvUnmzpRYqRZ0uRZ1clJ6kJnocBmOhCJs7RBUxDnRg3UtQERp0Mf99FNKoLO+vXBg0orHjRZPI0Bw/yerYiJtOBWgGIZZlOce5c5qmWY8SC/wCmw5Gxa2D5ziO4w4apdEwDOtHkGGYhZwESQRogiMYhikb3DyqJ5mGNQCAk3G0X4DGpqlPjHIv/r3i3w8CwEBlQ/yMs2orehikA0AYXgKAd/Ga8SWnBV9/gI8Pp/Zp0BxtTK3FZrR43+LTQ1v/VXAwgT3Pw8kfSL1VEjNa557BMNT2w6Ll8PQI1ATARg7gIMk5m+Rt0Z5UgAjQ88aShtq3x2yyUCfkMq+hFVWKcCbPA3ke3uaLPNf90TX/NSM/1PnANM3g03c4iaRMo2vX9tolK2br0Not37J9xsLvfT8UY/OSzcwFaIZhBEEwDMNaCWspgFYGdCKRkGU5v1iMEIrWHOHpfNV664r0BFof5/WJclocY8p1YCvVvdWRV1JfjCTjNwvdTnRKR+XZetIiseBTQH37n9UN71vIN1UlQ9N0kDUGtXwP7RwyL95QP2dDSgdj3L/9+dp9Dy7K8SGl1GcASKnPbeXv08pXyjRt1aUEAF3X9y66etH27wFA3FVrgL1reTZeAVXv/INBCQkhlCdsOLQxffEBxnig+n2gae80fGbN3tsLH0Xp/Lr7np6qdb/sXrdzICsH2UOfVpdcT79dEd8OGsAAnNly5WN7HEkWn/c9gbJWaJiIobBOGUnQMperX6H9ulW4fDQJAHBkDXf5GSusnyGEnJ78zLrzHUYSCBY33njjLbfcYr3+yU9+8pOf/CR/vKZpc3mHEwwGg8Hg4OBgLgH6e9/7XnbjVVddxbKsx+M58AMsEYzx6OioteZJluUDJN3ODaZpjoyMCIJgFbuedQwEowg5r+LicrlExx+9ybLFJA4UIVyi4p4iigsvSswt6vapuGC6qD0XcZIX979xINVqqigBemoivjA0opzL4FRR8n1R/3sISbIkMo4+HYzx+Pi4lW0jy/LBcmeeUPWizhFZlj3SQSOvW494ACAIgiAIBePnC2uQB8s5k4sFp+8ckkjrPlTxz2v3KJegJScg91SFN9ddX3W3vp16K/TtFe67M8LyYx+6pL62l0KWyzgKvp7pOZuuPltU7n5yrGqlt3dr/pFgNO3KSM/s9jcCZW4YVkGwZOUy6CyDTgDQoYjUob1wRIOdL2MikThAN2EEJ9CRUcOdVY0QoYg76EHIoRM0RVEzsVM4iGb5kqw/WD0/8tZMGOvp8Dv+T678x/dgyX2zctzYxATdtmtWdpXNTH6VRVGkaTqZTKaf4dbrlHVmQX8PRVGotEt0f/2JjWNPWq+zT5GEGO4On69Nz/THGGOEUNonc+9mBiDn812N24CJ/IMCABjq7ayoOfjOUid8ZE31L17vz3Uq1/D6B1aH5+V2TVMV/aXb6hJtRfWK8lW6GEwmkxkLGA3D2LP0i6w+AVrCoXrlluW6HbcCAG0m5XhHnsiY3IK1af+FKV/+jrLT64efdHK46uib3/S+qfv4JBdI0F4VCYBoWR/wJjsznK/PTj74GHw0/94qJHTuoph/X2tGe9zd1Nvysca3b5HHd6msN2MdF22q33bffzN70adOrq0IlqdvclKtKMmXl1ccfGtZCIQ8YIytTOGD/amVQCAQCATCQQ0RoOcCj88/7qptaf2tuu+vu1d+RqhqsNqFga7sYEpTAn/45ajLE7/kslq51Xk1BRqUgg9XY03HppdScnsD0Otw9za4YdgAZhTC/WiRH3cr4GqBVwCgAop42LZVnwFguOON8NITSh8cYWbU++U2O73LpJkxT8iXZtacB9M0XS5XyemoC/BJKac7hOPcugVFfNcbWZMMOWGyMg1LZmJHzqmy7EqAxVJy0j3P84qiFNSXC+5fFEWp583UW480Djn+piRf2VXz0UQ8nrH2WVVVkxKptMTYvUP5RnUM50jN17q2wiEqQPM8/4k1gfvfGUpmlRTaVMc0h+fHknWgu6Nqyw9pXJylzKhrUV/4AwghpKoZZyPDMJFIhKZFlvcozmYBE8nkUNUZoZ7C3tMKFwDNZnWLYRjhkWcdDn5ynFiRlV457+2FoI8fHaZf7bJPyGvwUZc17QyjXQCgIZbG035ExiuOAgAMaCKwerD+nOY3v5PRnTOiVxzlSVefMcbaY99ykoozsvxiyUEYgZDOBRdcsGbNGufxc3x7s3nz5vHxcQCoqqqay+MSCAQCgUAgpEME6DliYvVl8ivf5rSJFW/eHNkZ7ll/LSP76MRk5SvVW86ND6XHM/EJzy9u23bp1yUxX3GwdNwjbR1HXlD3xoN5YlDt8tZ3twNgj8cbrA4zDJPuOFkCNOgh2FOB9wAgE+hWOKoO3n4XTlkFhf1A8tOkPxvZtjNZ80Gvr2yGuyKUgCxJdFef4Q7YbEPIuQY9kyzmSCQiiuIBKgheGqqqJqRaMdaZ0c6rw4phHHTLP/17Xioq3qrCN/PjJja/ZqsEmZdeNXMBurQHe4ZhEEJ5Chim2gtKmYyWSEW8tviKo7RHbcOG/UcNeI8BXc9Qn91udzweNyk2ldc5wdVElXxXaa9qU84xG3lsJ8DZTiIPRtyyfOWxUs/AUMfAWMxAHsYIBwNVwbL5mseaGBsNv2Ozqj0XI9LiQGwXAAzVfxAMrGlatiWrdclNGdU5Qdf1UfeK+JJFYrS9svtvucKGQqfG4/Y3GzRNZ+i/s8WH2CdfhY0Zjasr6YurX/Wh/tSXKCZUexLTcreTrhqMsSqUD9afU7Xnd7Y7D6bNtWCM8SP/LamjBYdkAhVeuq6YP4JAAABYt27dunXzf+ZomhaNRmVZtn7RrMTn1tbWn/70pwBw7LHHBgJ2N3UEAoFAIBAIcwIRoOeI2qbFyn8E2lAQYHe8a8lzX26v3oT3GzllqM9jq072bXkWAMK/+c7I+vc6WTRqYfCu/AE1f/pa+tuBZWcEGyQBRbIj98KRDfCGk4P2wtIqeBcA06CbwOyEkxbDc9v5D1fiXQF1Ks8RA7yJPnAEfhgAtsOpy+FpAxg696JyBODBfZ6uX3T3rAos3bQAk2EPbRBCS6uC2yK6feEIhMa8lRI7RiVj+QXiGSYeLrTPHWPc23Re05YfZbQjgEQ8JrsXrlWiLVx0KLsRAwyfcGn5C7/J3hQbHZoVARqNjti2myedDsU4jM8KoihSFGVVGmQYxjCM7FkTl8vl0PrcLUt1j33dev3q0itv+O3InZcftVR5IRWgcMGI3DIaOBYAknZTOJSRdIkip02JZf38kvQAgUXJ6VYJcjSftUIKxnA6nXmQghCqCQVrQvNvxq5pWuDlG4rq4ou19niPCU1sRhSTjNn8KEOp83mJRIKW5aQrnCsAA4wENuAcZ/iBSx6nEf7v9UMPtQbbRjEAHF9HnR983gVjGWHj5cs9ndPO8IYtt7at/ZoY7wEAV8R+xVXK8RljHH36JwEH6jMADFWdXHWQ1zEjHM709vZ+61vfcrvdVkU+jLGiKL29vaqqLl++/Prrr5/vARIIBAKBQDisIQL03LFnxbVL3rklyfkFdRQAGnv+MXHGevzI89nPOpb6bBF4/V+dG8+v63SUUCyO2pT+y0PFjifUvT5+Y2P2GLLVZwwAgFCW1X8VvJt6vQhe6oB1fbCE47i+SEUAwMqw1oGlQfdRw1ZO33J4GgDyqM/p1Jhb1O271SXXsixbxN9GmDEMw1TqY32sO1dAzOUD0eNjhpKJeC5vCidF2/JAUZQoiqZpWsrLzNNjZ448nsPu4OBxrE5hcC5GzRQlEUDZC7+171BM8ZM8oD3v2rbPiut3sTuhaTo9sZSiKEmS4vF4eip0PB7nOE7TNJfLlStRFABcLlfNsz+wXg8F19zw2xEAuOM530+PBgAwaKm98UpN01RVxbm/EWK8o6rvH+kt/9pXBmkuHhnq81ENHG1OS1DVKZ4xbbzXGS1hGIaV6J3r6ITZ4fnvFLW0SKeEnZUf5f017yaPYQuZwJRANBqlaXbvok837L4TAEygTFpk9leZ72y6PM/8info1Tx7HpKWlcd2lDAklZbdft2PX/1aE5iADGDZHFY1ApM5x6lzPkCode1XxYlMe2gLA7Gpk3xw+4s149vzDwYDRH1LB1rOW8j11giEgrhcrsbGxoGBgZ6eHuunyu/3L126dO3ateeccw7HHTT1oAgEAoFAIBySEAF67mhobNqpf27p9p+mWjzxjt5zz5P/9FD+jsFnft95+sdq9z5qsOJY+VKD5hk9Eeh7OzvS12XTmB8uMda7Q6helsxoj4FPmp6INAo1w1Dv5ZUy5S0acq7/rYc3ASAS6TKBBoB3YSNH60gMNUT/0mS8kKtXgUFCkt55a7T5WkEskOJNmF1CwfLhngHN5c0ZgagxTwUl6e74qK4ks0sOOl8qbkskMpUJuECK0rrGd9u24wMgGx1o4sEm3i4JOnueyUJ05z4TioHu67FtnxVhVFEUmqYdnniW1pzeYppmNBrleZ5lWU3TUqc0y7IMw+TR6QRB8Hb9h01MXjYvenSx9WJLayx+fLmkDyXE6oIzMQghg8osvtoXySepf6S+H6Y7cIz6lweH38yOlBK98NCnAGDUv1Jfe74/VJN/MITSGGzfUqP0O4+Pi7XdjRcypjl5KpZqmp8fwzCSnKxyZZw63Lb8i4Bxy44fAEDcVRuh/JBD/GUYpqzzuWn7QRyNp4JLU58xUGplkxsmLz4UYCqXUTpACPaMSk3e2FSmM6NNADbZWG+o7c+2XVTGbd3dJuKxmp02izksdIqnTaVryWWquxZjjAAqK0n5QcJBTFlZ2de//nXTNFPT9tR+5sUHn0AgEAgEAiEdIkDPHZIksaIMADolMOak4Fs18mr3h8/3/Pn3+fuWP/m79qoj+RefQrADAAyArkC5dsbZAabPO7gzFcYkx0sYWFn7y93UCTVLpgkrlvochYAMk4vlA9AdgO493AW0MlAGnQCAAWFAtnlebhjCAK1wVBnsDRmtEIV2WN8IrwOACiIHRbv60mDIrbfFF3+BZHDMMcuqgtt6hwxXvrwwk2bG3UEkm96JgQyJDSGUs3DfQQhFUa4cOXdqxyvgO2uOxzNDlKYN0P6a83i3O2c6fFFgSUZK5qQX7PdZpmma4zgn9QBt0TRNlmXLUiNPGMMwLMvmEpQVRVEUxe12pwToWCzmdrttTaKtPP3w8z/m4pOCWl/9RiPt/3Ube8IG/a99ledAIQHa5XIlKTmjcTiv+UfdeGYdV9/4TtvIFP7RrfDM1r6aU8tPvCh/JME5GONoNBKbGKvZeZfzXvvCH41L9RTG7okdCt9UlL9zsSQSiV21l/A8zyX66tvvtRq7Gy5Uc5+Wuq63Lbu+Zfv3Uy3p6nOCDYiavZ1OfmI1K1PqsxOYCi+0T71F2Gx+67v9de9PuKrkmI3/jKiNKKZJUZT2yq9td6ixnm2Nl63ddduId6Uihz2DmylDGa88tsi/g0CYZGhoaGws0z0mD83NzQdCEUYIkTUuBAKBQCAQFixEgJ5TmptbElvLdc47WH9W09afWY01oy9H33ec+vy7bCTng5xJs/yLT6Xfq9IjQ/TvfxMHmKiqVT9+ccP2hwxWYseHSxtYeesLXeyp4aZMk8SU+pyiJTJV5BABzpUpCQDtcFQzvJba3ACvYwANhFzqswouDvJZlNJgmHsegOWX5YkhzDoIoRVV5dv39eje8vyRGFFjnpDECigRTSYn5UVJkkr238ggmUxKkuTQivcAgRCisL2eHuh8AtbkE6B1Xe9v2x7oepxRxymsmxQ3WHtWWfNanp+3zG7f8qPgqZ87DFZdfn6Wjpu47CqkqhgAMACyPO4RAOYpSpIkVVUTiYTL5bKUOIyx7YO6nlW+L4VVhSn/icfzfLHnUiKRyFCfWZbleb7izQeEod20MZX+/6K+HGDAeo0QHJn8R3f4fCfpz4Gx1wMjL2e0d43kTIkNeWgp0ZvRyOqOvJ4ru5/u2FxVc8RpToIJeVAUJfnm/cHR//AAeWrmxrmgSx1Mb4l4lk3wNVoiIYriqGuRceAthjRNYxjGPzI5PdK29POFT8tEzjuTktRnFKlZ49n/7XCIGwbHxVp3Ylr1VyM2ZKs+WyQTccC4bOyd7E0GYnsbP9Q48sK+FVeGt9/tf2Nrx+rrAq1/WXzSpUWNikBI8YMf/OCWW25xHm99Ew/ceAgEAoFAIBAWIOTuZ06hGWag4vi6zoflrT/TaJE1JqVYOdEVP77JeCznsxwyNKOqluntzN7E9HYyt97cD6CuO6Z+Bu6FwXefHu8K8ictE8C+/FEGXbDKzSYGhKMA0KLI/dkBjfBaevlEDIgC/C7auBo/arUkqTIMSDQn06Dyq88WXrN7377tobrlTkZImC0QQivqa7a37dUCVQVDYy6fBBiSU/mtPM9nW3OUhpWFmu7LMccYhjESOi7Q/1L2Js6IRRWF5+1F2o4tLze33dswvbF+9z14N3RXvid09LmzP1YHiJI0UbnU3WfvyJzBwHuurZ2l41a8+ld+yMawvmvFWm2//0Aeq2ULl8ulKEouDdowDFmWIU2/ThfaSvMlz8jll2W5+uU7+PGu7Mhf/X1KZ/zWhW7a1BNCTcH0Z4SQFGvNnuEwc0zz1ZUxtwfvyz0JWJi6XffHlh+/QMxtDlL6//PH8NBTBZcGYEAZ6jMA9Ic/oEWjAKCq6oFLfM4gkUj0VZ8zVPkekxYiDr4FwdFpHtAmYnJNwuUi/U5gvOZIH9g78OQnyQXSBejWtV8L9D6bJ767bYcn0mbrGdQV2qi7a9uRn8a0dsRXmt74Tv07P46ffVsJoyIQCAQCgUAgEAgOIQL0XBM+ahN0PpxwN2qcbyR8auPbt1rtLmVgOFDJjUx6eWKKRubU4ygC0N73AeZXP8u1WwTAv/lK22e/3PTO77K36pzIqIVdL4ToIPxzcPfpVy7iCq/KD8MW0MCr7ZlgGqwWDQQWpmTHjJRFCrAB9Gr8aCesCsMWBBCjQz59T8EDZVA38ZeJZBNPFJM5Z3lTw86OzqS3omBkzOWXTdNMxFRVRQjRNG3Z6c7KMKLRqCiKiUTRLi6zgizLgT0vDbuXlUVsnE+VRNxWgO56/bGW7r/Y7hABhPse1//+nP6+H9H07JT4Kwr0wevxLz5VcCWwJnjCS1bO2lHxLPhlx+NxhmE4jqNp2vK4THlu6LqOEFJVVVVVS4YGAI7jUgY+DnOf83iAuCVXw2Nfs900Glqt6ZMjOXalfLz5T4d/EcuyfLIvu90tUJFk5ki+eCp/cvevZqI+AwACSL72O+Gky2e0l8MVwzC0F35UG28rHJrDVz3VNGfqs8X+87+w+ixJknvfOxgotN9rC+Gih2pdXkygRsLHBXGB/y6cdfNgMeJdHhyfqnIR3nk3n8iXRl029k5o8BXbTZS/zlLeBUGo2/KzgYb3C8PbAl5//oERCHm46KKLjjrqKNtNhmHs2rXrlVdeefHFFxFCN998czAYJC4ZBAKBQCAQDkOIAD3XcLzQWf/+6o6/xeV6/95H0zeNbPp45W9/ZL1OV58tgq/+LUJRKK8pquv2W8yNjZSZmZ3kRH1OUffk/+1deXZ13QgHNiat2Xj0vdYLtlC8VbqwFra0w5GN8IZX29PmOb9l4r7sp80YXaXQAd4YlQybVKnx9mcrlr3XydgIs8uS+tqevr5BzgNUPqmUnhhOIkRzopvnNU1LJpOyLM+WAI0xnheh1kIe2w4AtuozAJi6zQr6nr27G3OozykYM6k98Q383v+d+zJBbp+/7/TPhJ7MObkFABgh/VO3c7M3NsMXguFM4wgAEIqcqEhPSaYoyuVymaZpGIaqqhhjWZZ5nrfy5RFCgiDMlhuMJEn1j9+Qa+tgYCWABgCffJ/nQt/DAGBVZC0Ix1D2lvripADNMag2wDaV06c16St2/6rE0U/HM1R06VoCAJimyT3xBRGXaJphIrp96XXzNZHmHEsmQ2mnZR7frTxgQIPhEyuxfQXXdPrR4kq8K7t9MT1NTc6vPgOAkftLV9n6J33xhdJEW/muf1HYCO392/h7bi04MAIhD6tWrVq1alWeANM0Ozo6jjzyyDvuuGPz5s1EgCYQCAQCgXAYQm6A5oHQhg+YQLmiHVJ0b1fFxlR7S+ef0sNMmhn40i9Tb5n4hLrhxII7b/cdP/MRVm19RHvi7U5t2cx3ZUsjvAEADKiL0tRnE6ghqLdeS0ZvQN2mUbJpd4rWGq+XVp2MMHOqKytXevk8fuXM+JAcrJTKQ0JFNdCMZQZ9yHxerJKvziei2ezG8JbbnexZVIaGN/+9xGHNjMr1p/SfcFmurSbNTnziZy5JmsUjqtWNtu2eh35ccpVRmqYTiUQ8HlcUxUqFjkajKbeWXEbSeWBZ1tY6RhAE394XUO4Khw+9xQLAXVfSlvoMABQ4ShotG7GxdgGAjx3J/N+HRx88r+2vH3719lNeuG7ls25u1pzQGW12RPnDDfWFW+lS1WcAaF963UQsOceJzyVgmmaOjOQiwEANh49zoj4DQEWOMAqmzawPVZ0yVHNGrp1otFQ+mnNmJcnIjVt/5u9+lsIGAHRUvidQXnhlD4EwEyiKamxsfOSRR9ra2r7zne/kr5FLIBAIBAKBcEhCBOh5gOO4veu/hgGprEfSR000maeTkVhEGXrFDz41rWM4mP5WvfOh7J1Lf/l/Ay0nOx+MYSeZAQCjxSueeKB3B6dDiXqQQ6Iwue6VArMcphUU8mm7bPMBASAaKaLaOGF2oWl6eW1VA6WAliXP6aor7UnedAdYlgUAq6bcXA7yADEePDLPVuuPTWegt4s2nfpfV3Y9kojPT4nFyhM2jX/qTtWVuQh9YPXZxrX3+IKh2T0cu3SdbTu3dwdfqtiFEMo/zxGPx4tSt3mezzB9Bsv3+Z3fBXY+atsFAOLumn1Dxp8u37co8qTzY1l79o/+J7u9173htMBztcxuDxqaCqZKKP5mDzUbdiiHG8P/+b0n5sh5w5aOlisnYo4WGM07jDpuOYVolFjaHib4sFrTHMTt1ttUYvKQYH8RoHJkWCPAbdXvT3tLuSZabSN1iteQyOk5Z1YiNSe0rr+RNpMAoNFi2RGbHPwdBMIssG7duoaGhscee4wI0AQCgUAgEA5DiAXH/NDcssh4g5aSfa5kP0ZT0wAdl32r/t5v5erlf/PJUUSh/XoB+9mP24ZpDz8BK5zqLLShAYAmuNmkTWG3QPurSrfEnL7Y4d6KxQBahtHU2w5Y54NuLxRYWgsAUufvwHvNARoVwQlej2c1xoPDw71IBHrySuLSFUSlpcqyHM/zmqZhjBOJhCRJDr13U7hcLmulqvW0ZppmMpnMlgXnDJPK+c0ygRIlOaORby9ChUQA0XceEY/5aImDmxm+siD+7F2aooz1dKgTo1JlnScYCh0YtxOxKefqisDPv6hc/UNVLTq3FCFU8JGe4zjne87OmJZlueFfN2Z74LauvnTHMP/bJydiSVPV8KnrxYCSKY35xt+M0ovyHI7VJ7IbTaDK5czKdQBQTu0zZp6YCgAABrKfgyTYEo9FXS/9T5Veeh3UvYuumdAZcJYUP+9M6Gzriq82bbsFoxIvBWI5x8HkZV8FkYOECRQF5gS3qDz5pm0XDMjW6KOan/pajYWO8fc9lx1jIjrBBt3xfXmGVLnnD9T+b/F4YFXIR6JkpYcAACAASURBVNyfCXMEz/Mcx23fvt00TeLCQSAQCAQC4XCD3P3MDxRF7Vt7HQAgwBQ2UknQy/f9JhXTc/Z/xWuX7r3oG+kd1U9enXqNdHuzVHqov/XoK4oaj6U+GwwHkPnYp8jlRe2qKOj9D+HWQevhTSfqMwC4YIzeegtJIZlfEEIV5eVryqSy+AhgzI/1s95ARgzmJxOfMcZFfV6SJDEME4/Ho9FoNBqNxWKxWMxSsedr3TrDMKF9/8i1dSh4bLZkKcS6ijpEZf8z83hWI4Q4QahoWhJee4y/svrAeW3LXp9aVm27iVKKy1NO4cRhQ9M0wXH90nQ3almW3bLc+NjXMtRnk2L+q+uiq+6O//Qvo6MRQ9UwADz9+piRNbk74c7naCSKYsPeu7Pb24Nnc8gmgx4BGPTkH4Kd/Y5vWfFZ23adczvpTgCAifFR33Nf4opRn/H+fyZi9zVeunv5V0YVtPCdN1JgjCORyN6WKzW6RBOe1NcSAzCgAIC1sKlp4g/ZwQYww6gul820C6YckPh4D4UzZyIxUGPS4vzqMwCk1GcMEDjlKgd/BIEwO1g3QrNVjYBAIBAIBALh4III0PNG87LVOj25pjX1OERhY2zNpIFG9SN38b3t5S9OK19W8dT/0xrzpdFZsC8+3/eBbxSrY9G6GqlYggDivtpUY8JrrxPNLiWk8jGgKdt+RTTohUC4uqqeUoRQ2Gab4Eql+RSV74MQss10jsViPM+XNMyZwnGcPPKO7SYMiF/74ex22iyu9CIFpqos9Lpks0Ji0+W5NrkfvbeEYoxOzi5FUTRNk+XMRHVb0vV3jHHDY1/LCMCA/jdxSXuPrUCceV0yqXzCN0Pb/L0YUDP7eq4uGusGAFUsbz/uG7li0lm1zd6LfKzqGCfdCdHIePlLmedAfgyK62q4eNfSL+9a+uXtTZ8ZNtwHqfA0odE9LZfvWfFVcFxRMwXe//Pu5CtNg97vOgHnjlWZyS9v9kKEqFDVVX5iYHyb87F1Np2f7ZtEIBw4ent7+/v7Kysr577gMIFAIBAIBMK8QwTo+WT8pG9aL9Ift7imwP5GoEw9umia5ywCcFcUzuCjd22vXLJ67BN3KFJZUUNyD+wEANdYZ6ol6bdTFRcGXugfap0s21Vsgi1hdvF5vdjWgZfjGWYyG7SoJ670/NN0SqgmN1vQVM4Ddy670uWykTXTDXbSSXBlcT5ou0mJH5QSVbFUHX2KLvtsN/HbXi1hjsHh9IZhGBhjUSxgaEvTdPr8h+0n/0j1J59/2z4ZFk03r+8PnZlHeWQYpnbf/dntY0JjnhN9qGI9AHSt+wydHM0dVRh+xXtm0v0wQVWUwAtfyROwvepCANAo8a36zybYsnH/uj3Lv7Kz+bNDpjcej8fj8VwXtIMC66rLD28BxxU1p/qm3WfmKuqQFoxomt7jnbQXi0D5DvlCHU19WwcCG6wXFR1Ti1EiYri38b1SFVfb/0wxA0ONxxD3Z8Icoev6yy+/fNVVV/X29q5evZoI0AQCgUAgEA5DiAf0fFJRVTPgX1M2+rbOe2ktRpkaAATH34rQDGXoCABMo/LxezN6CYOdYxd/Srjvl3n2TA/2mqbpL6/AV/+i74V/VL78mzzB+VFcmaYKBxoVxE73+5sjv3cSHE7++41f70z+6rd4ZBQAUHWV79P/FT77LKGQwESYdbThPi6YlS+PKJZlLePdaDQqCEIyOdPqW/F4nGXZORZ0BEGo2m2jEloEm1bZtqt8mSvRk90uqsO5dmWoh0UGNAAoX7iN+Z9LstuRoaUmLZzj/Hk+Fou53QV8J0RRTJeM44lErGKZNLAj1aJx7p/+1b4UKk1nZkCPy8sgt/u5IAi8amP0HPU2B2Br5uDpygQVKtfeVt1BAGh66Vv5/5D8JPmA7PbMZA+HCdQLN+fZOlJ+fAAP94bOiJYdySjK3sbLVVU1D85k51zQ6sQQ11CDaCor9TgP464mLxTh+299cRJJbYBbW6G+JUCkTN/V7v1o89j9FOgAgNnJKwOrjgJAgisbr15bjXZ6YdsOdOoSaHd+rN6jv1pbOIpAcMQdd9xx33332W7CGA8NDbW2TjqYI4SuuOIKYgBNIBAIBALhMITcAM0z3o3XAACrjMH+0oIUNsbXn5EKGPjSL/VAKKNX6MWHYh+wr0CYwrq7RQhVnniO8tnfdm8oEN93mr1DKDXnWRocJByqzxa4p9tSnwEA9/SO3njTliOOeeOsc14/YePrp5yx+byPt21+07RNziXMKj6XfW4+4veb1WIM050N8pBHgjQMozSb4JnAI90Vs7cWNSgu12jHa08t9kCIOlDOywuNYGUVzqEaS8//9YAmiBVcLZHh0msYxkT9cektJmX/ia9bKq9omuaW21F3aZ7amwihsuGXbDfV0ZnqMwD0CBsHqSUYUAvzn1z7dI72nptmvpNDnsG3HnGp+YoT+IZejvmWDbqWR6NRTdOSyeSh94ujs+41++5QaU+eb46BMi/LMX++LH5bRHNY1/VxcRUAsKCUKW8DwBBqtLZSNLX/WGxnwyZXjViNdlotLa0POD/KuNwUblpa5NAIhJx0dHS8koNXX301pT77fL677777wx+2MewiEAgEAoFAOOQhGdDzDC+I7Y3n1bU/lJ5VZOyv2wYAwR98auTym8ru+WZ6LwRQveWfg6uO5La8YbtbPdww7Siiq2bjh/EpH8IYj40MB3796ewuoad/ZrsrpKuO/5oDhQH0bjhxEbywD9Y2QqYpauUHVu69/48ZjebeSa3Q6B8YvvCyYYqSfvyDmqPWt17zeWPLVgAAmpa+/t/N55w9X4bChx5+rzduY9oMWPbT42OWopdMJiVJyqPHTfXKKxHOffaQGN2ba9OId6W9lwRARd1i2FLcgXjZX1yHg5mR0y8ue+K32e3iS/+QTvxgUYa5RTnwxONxl8sVj8dtt8qynH1oXZz2ucSlyvS3/3t10w13tF13Yd2P79/XHE5zDAieOqoJWbVdpxBF0d/7Snb7gGtlCGzS5Jtjv09S5QgwgplWstuz5NIGqcTKcocPw4P91b05S49qlKsj/FEsVx6k5s5FsSX8SQBY03VXqiVJewRjIvWWxtPuFjRKrIbJRQPYcaWHYOL1cXajqukTTL1H76CxWhF/YcB7QsXYbgBgadWg2D315y+Ff9fDW6le4xBym/sAAAPKVcMwHf7U64kHAmEWqa2t3bBhQ66tCCFRFD/2sY9ddNFFErnqEggEAoFAOFwhAvT803DMOfHupwR1JNVCuacySRFAhvqcag/GWkfKQ/RQv83WL/6PTSNCCKFAebBj42fqn8mUm9F0+SZa3iQPtQFAw8v3TJz1Xg8aAIBeWFIFO4v422bAdti4HCb9HGkwlsK/NeCz1WcAqEE79jIM2BWsm8I0Y5+7fld6i6bFbrzpnRtvYs8+c8lN3xDJI8GMMQwTbOtTMSxN06mU0vTcQJqmeZ5P1wGtsxQK6Ylz7/cd9+Qs/hkJn5JLgGYYZlxu8Ub3ODwKBuCFw8g9xnvq+8FOgEYAwtaXYo1rnHzQ1mxEUaeEaZrxeJzneZZlM6RDSZJsxURtugAdmW7h/d1f7z3tKP+P798HAJI49S0Y967FeaVJb3yPrQw25Foeguez2ykwXeZkNm5v6ISq/hfy7DwPA5UnNKw7ubS+hw8Y48BbP7L9gDparizrfbK3/rxYLJb/Iz40YNXR5sF/KIwbAAzE0Fg3gbLU5ygXklWb+5CeilMa4G3rtXOtVzQGvPzwmBHok072jP8WALxqq1edTCCthN1QH1oG/87oNRIvs1x1NM7LqfbeOCm6a8+uk4nzDGE2ufrqq6+66qpcWxFCDtd+EQgEAoFAIBzCEAuO+QchpGy8IV074fkpE1hd8ubsCOANseq5lxreKWUEM6z+g1/XLFqS54h160+OlTXkH5WlPk/y3ORa7zlTnwFgCTyHpz+0sqDYRiLAzIZ1JR9Ie+SxreuP2/6b+0gNwxmS5z8w3aEikUikMoBEUUwkEqIoiqIoyzJCSBAE61Etf3qaqqqSJLndbrfbLcvygU5jlyVXqO2hXFtrGnJq0wCAjr3G+YEGy487rKwhPd6c1zf3I792uVy5tqZD0zTG2ElafQaKoiCEZFmWZVkQBEEQ8qRFZ3wuojl1uFPW++KKub1tskXkJyN1WrLcz3PhcrlCfY/YbvKyI7bt6UQDzdmNGKBt/X/nv5YNhDcGTvlEwf0TBnb/h9cnsttjcrPGB3rrz4tGo4fDDwdFUTrn72n4mGhEAIDG06Z7U+qzjjhz/10lBlRN74KSqIs/KQiCrus49z2qmbYJAwr3PmW9Lqg+67RYc9x5pQ2MQMgFRVFMboj6TCAQCAQCgQAkA3qBECgLdte/v7Ljb9ZbURtNbWJi43k6Molo4LyL5U9cnUgkkhPjDM/LXl/BhaUIIf6S7ybv/rwQsclayoaPjexOfniRYGP3oYDEQwwA4uB2QcTJ3hxCQxHry0PXndf98owcUWPf++Hbb72z5ke3kGW5JUPTVK4PLUO8s5KgU0YHicTkjIvb7Y5EIgBgGAbGOI9Zh6qq6dIey7IMw+j5s+BLRZbllrdyliCL8xVsXslYdLnal1zZuPP/nByLW3PYWUMOnXlZ+WP32m5iRgeAK7A0gabp0spRiqJIUZR1vqWQJMmhnihFewCaEMCHTwv+6alBAOgdmjwhl9ZNOuEatJDfC9ilDtjaBcS4ygjXAtq2/GNoYTOvyRigd/3n6lqW9Jifrdl8e3YXjKje9Z+raLavmUlIB2Nc1WZfd7S79iOGps28nurBAsbYME2KZjE9NdVHQea5zaRZcES5Sg+UXk+1fPwpASX2uTfVR/4GAKNQ7Ydp1VwpMFO2Hh3UEXW4w+GeR4//eiVRAwkEwgzo++s/Bp981mEwH/BBpMDEGABgjFVVEQI+VnP6y8KUlYW//BWHwQAgLF9hRmymVLNBFEU5ywCYHEllmFu6xnqNTUM3TQRA04ztIxVSojDc5Xznhz60gCryJbJMg3dB0qa2+WFLQmiOuVY4DNaBKUZdWChs7490Tzi9LNR6xaUV8oEYBoVQQ0AyzMzHFt3QKURlp0/d/egOw3CaonHZe5dU+JyuAH7wkXd37x0tHAcAAGccX3/M2mqHwYS5gQjQC4WqY8/Vup5gjAQAuGMdznP5Bndvl4842sohdX44hmXNT/woec/1wkSfk/jwv+9NnnmsAJkLjfn9Be5nV30uyAA0V0Br6m0Der27oAtHIbTHHn9j85trn3osT/m7ww3DMPoHBk0AAMwxbEWwPE8wReUUoDPuQRVFkWUZY4wQStf70gUdXdethGgnKo+maZIkzZYALQgCwzCmaVIUVVCO7Ks4ubbQDmuWrOuMbqrtzukka9G19IqQ7C5mpIcCFad/0MwhQJsePyQLeNCnu7s4R5KkeDye/eE6n39ilYnGGgEwWOpzOi0hsFZrsNpEnnkRhmGqev9quym27PJKlxsKSWo0UjMkwL4Tv1FR0wAAocXrxqp+En/r79Xdk5mhUSkcaTojsPS4CqK+OWNg3+5abHP6JcTqZDJZwll38IIxjsfjsixLsXaHXVTOB5Bv+jw/HCguPFIX+bv1NkN9tkh9V709b+faj4mYveu+2LT5e9bbwdCJleH6kkdFIBAIADCxdUffn//mMNizYqne+q7DYL2xHvfa17vOhq+tK0qAVndtN0ZtakvYQNM4Yb8azBZjoFvfPVXwxLo45/qNpESePoxW+hUGmQqMOFbk/eQnbBoakmPg9NGJQgBZc+cLn/6osmvIqTLE0dQBEqBNjHf3juuONWU9oUXiTjOEzjupCRwL0G/t6H/5zV6HwYsb/USAXmgQoW2hQFHU+Mk3lT39ZQCgsB6rXy51bHfSUX7tX3DE0SUckeN5879uG3/wO96unA9vU8Mz9eGdZnU+Y49pxMAnQeEJ/5LxwDTdHAHwn7pEufPXM9wtHhh854KLjvjjgzPcT36GhofHMUPxIiAAjM3ouI9nygKBA3rQEmjd10WVVyFfhfVWB2iP6TgyGi7zcSybHU/TNKgmZEt4GGfkqJqmGY1GKYqiKCpdx8kI0zSNoqg8rggHAlmWKS0W3nE3o0Uos/APJyWVFYxBCIWO3LTP31S39bZcMW2LP1m7JGcJo0MYXnSN1C8TO3bYbGM4gMICdLFHlGU5mUzaTi3kEaDp+DRPDEaLd/QmbfOb15n/tl5QWMszmyUKPGPYnNhRNuQtCyGEDKDzLwRBAAPBoysGXwWAhFBunvk/QWGqfoDs9sgnXqjhj1szPQJCQu5dETIwTTO8/ce2m3rqzzcc31IfMlAUJY2+AwBdvuPDYy9mB+iUyJhTKc8JvmImArQMQwDgpJxgDPzeqP09jIno6Jm3yrHJiXMMqGLjJ0seEoGQjmEY+Re45Idh7JNDCQQCgUAgEA5hiAC9gKiorOqoPjPc8xgAqBU1DgVopBcQaPJAUZT34zd2t++p/uNXUaFMz7LWF/sXfThEOUqAylCfcTE1iJwgQOZMYMOpFTvvnIU9G9t2vHPz91d99cuz8myA94P2s3NPK1/TmK6Z0b7yCMD4WLyM0j1u9wJ5JtnV3csFMycMEUUhb1mPDsl97UuaGjKGihDSx0cYX5YgixAtucEukblgFqHl0puy5shDIpEoLRk2hSV2N7/1XSeqR4ry+qVOwhBCVc0rlMY7e998vK7rYTQ1A0/1lx/rOepjtXaa/uEAQijess5egHbghlGsAJ0yfrElj6AQePfR9LcIcFONsKcz86wO+llJy8yJth9JxN5Sf6LhQ+UIAcBI9SeDPQWcW+Le2j5GkDacJ+ZYLZuq6kkoCuOZm2z/1/rCH4gmD6Pc5xQIobh/tdn7WI2d+gwA6eozAOgu39ykGQ2p1bVgI0DrFKttuk1kGJblrDuQ/uNvqjmcHPYJB5Rbb731j3/8Y8ndX3rpJbLYjkAgEAgEwuEGuftZWNSd/HH9wScobFCN1eDM03hi40fz2SI4oKaxxbz+90NPPlD+1sP5pTfXc8+aJzdQqOjHyl1w4hJ4fgZjLEwQ2nYilFKsUKgC9w+Utivlvgc633t63ZFHzmQ8GOP2zm5UXoUQsuR3jE19uJ+vabSNp3hhFGCgd6ClqmLeBaOBgQEuEMoTIFTXt08k62UuQ/4rE1n7nDfaRl1lGCZ/iTYLjHEkEhFF0XL7VRT7WpSmacqybJomQqjYBfIIIUmS6t69a6BuU1Hqc5IL8EIR1jcURdUceaZx5JnpjYUzqA915qyMG0VR+R1dFEWhKMpWhlY81VL/1vSW45a5sgXob56LYH9as4mYXP7UkiRVtv4zux0D8tcstl57vP69w2c1KI9mh1nEwB9acwZ7uE5dHDi6d25uVG1+PlS+bFhoNh1ctQ49DMvJD1Ea5eKMnFM4FhigwbS/g8EAba5NDfFHiyrzkOdAFb0vZzfuW3xp1YrjGYQAgGGYzrXXs72vh+vtf3wJhBLo6Oj4z39mVHqEQCAQCAQC4XCDJIMsLBBC1Ed/1Xf8TXpohclwBeOToYamFatnflyKooLvuUi/7v6BE6+IVizKpQZx8eHW8ZUl7P9Aq88W8u3fT73OVp89X7jW+a76P/lpc2YWn219g1SwOl1KRgix5ZX5e7H+YNt4Qi2pqNosEqELL9anOL4jktSn/y953Dl8uCRPRrKPLMtFWTYnEoloNGqZR+cS6KPRaDwej8fjxWbFelmj5a2bGWU0vOte570wgHryDUUdiFAUSJll6xWXy5X/rNN13fbkcctSYPfjGY31wkhGywdP9K2I/yv11qT4XNq6qNoXgB32rE0fQFXTmr7QJxM482uVBKnD81Fm2ZVEfZ51YtFIQ9svbTd1NH/KyZzZoYqiKAYjF1SfAcCgBNtrdAz8o02fD7es6wldNitDGoE6Xpu23Com1oyd8cPqlSek/0xUNS0Nn0bMNwgEAoFAIBAIhPmECNALDpqmK8P1NYvXsN//0/jajfmDEx/93CwemmW5imPPki/7LnzpoeELfxgrs0kXqnvpN0l8QLztLQwovUDWkgr7Je0WEz+yt99lzjzDpjWptD7z75JHMjY+TvtKTEyneaFbhdgcuh5nQwmOil9TvLgvkkxPF6Vp2rCtW4KQkOZOy/N8LBYrzT8xGo3yPO/KXZ7bMjxxvkOPJDRs/xkAULi4KYfeZVeILqmoLoSiYNu3zdauXC6Xy+XKY75hkZ3+zHGcLMv1j38jO3iFMa2skE+mr6mblq3MGDGOs5lHdLlc4U57o3mz5ZyMFn+gnFp+zVDNVb2+c3vFU3oDHxut/wxa9tnKmqb8fwuhBDDG/Ks/tL18dPlOmLNU/YWJaZoJV3jMvy7qXpQ/cmf1BRktcfD1BC+iV10jyW4AqAhVK+DoVyY/scjUBExv6OThU2/hzvqW7PZmhPE8P/NjEQjp3H777YZjYrHYXXfdtWrVKqsvMd8gEAgEAoFweELugRYiNE3rus5yXOiKr0THr4o/dKfn7X/bRlY0Oy4LWAwIobKaBrjiB5Gxkfgrj4TeedhqxwC9p3w6uPSkoUQs2v1Gg/HKrB+aBiMC5X3SRpHR/OPPSjDqvK+AIlRzk9nalt5ItTSZe9pydQEA/bEnbNvHrr0eb3uzNDeMwUicLXNakzcbRNH9qt5gmtR8GVY6/qspXtzbO9BUM5XZjXUFbJUFZkopsBKZC6qBubBcFCxTDtudOP/UZFlueuvmEsZgIK6seUYmLYQpcnxe7kfuGbvmR/ndVBBCDstUOolhmCnTDFEUOT1R9fJtbCIz03kyIDGtmvwvLhhg4pmOHJw2QlFCStRmWZbjuNDA48jOHzfOlvv89o4sbo8PPD6AAsIfYYYMtW6usTPfMBBXM/bC7qrj535ICweMsc56RypObNn+vfyRVTBp6R4D/wCzwh1e5/ZkFgfoYo5s1me0NGqAWmyK/s6WC6XalS63rzyHqMey7Ly7WhEOPRzenimKsmPHjosvvnjr1q0AwDBMY2PjAw88UEL5XAKBQCAQCISDHSJAL1A4jrO8bmWvT/7kV1XlC32PPRR88r7UU5TJ8voN9wgH+BbW7Qu4z7wYv/ciK/MLIVSNEACwrM/tOS2mnxR9988h2DPLB4Uhd+yhCQhRy6+a0NTRPf+ux2846YgAfJ+7cOTab6c35lef84Hx2PCwv7yURGbEF+ELbAvF8a39Q4uqKma4nxLBuAgNOlARTyRc4uSfTOfIa8aeAIwVMZ1QkEQiAXY15SytoWBBQpqmXS4XH+sp7eg9675QSR4gZwk2VGPbbkoeJ2nyGU/ysixrmsaybOrEEEXRifps7cryWPCIbN2T30J5k+JZNfL+k4N/e3YQAL7/6erQ+DPZMXUd95ZLTT1VH9R1naOhse1OhLVcX63oqqt9TkZJODAYhlG9+1c27RRnUgI9g3q/hwYY45HQSfW781X7VWlJOenbsiAmMQYABqHMUrb7kYLN0FuiAL2L2RhecoyXZjJTnbNACBGljzAvYIyfffbZG2+88ZVXXrGsn4455pibbrrppJNOSl8QRiAQCAQCgXD4QAToBQpCSBAEK9MTY0wzdPX7zkebPmatEJ/jByqEkG0CEcOwvpXnJ0xz356tDepTLCQRmCbQJjAs2FeKc44H+vH2745VfqJyxZnDkePljrt5KCwh1VcN2CcrlkT3I4/6L724hI5FFbLLBesr7+rrC1cWsI0+IJgmFJN83Zs0m4RJ4wsPS0dsg9RpyaGztZg9ez+WBQdN0xjjPPKlYRgY45pd9xR9RIC2FZ+vqyX1rGYNeeUG23YsSAXPE8MwFEVBCKVHKoqiKIogCNZKZycVKa0JCWsnsuSq/1dhd++B079yTW3DNZeAqqry81+yjUEAUqxt0Z4fFdxblKvKlf5MmBvGetuq7C7dfXUfSYo1Bj7cs2gFQajc9ydWHbPdigHtq/pg1dr3WG4XBZOOvWU1Ri9Dw5QnOwYwgTGAVcAlQDRKhcZ9J1eFGwBAUZSx4QGWEzw+P8Mw9Y7HTMw3CHOPaZqvv/76bbfd9sADD1i/KatXr7722msvueQS4tpPIBAIBALhcIYI0AsaiqKGBnoCvQ+49muvGKCXXsOENngCoQWyqpSiqIbFqwFWpxfO29vVXj32V86BZJwHBFDV9+su5fxgTQusvK69sz04/i8ZhvN0EWF8JkfMQPndH6AkAdpUkzQUzM0qjOYuK9bReFYwRgeYoE3iGjZ0RNtcNGhBTM2LuN1yxFbuc3lcrtFUImosFhNF0cpiLhlBEGz3QFFUIpEo6PKBMQZEgzPrZxMogxYivmX0ERfV5XagJpQAy/G2EwXMwL6Cmey6rmOMLdsiAJAkKfWhWxN4DhFFMRKJSJKEEEJU4Rm+oYaTqmobrNccxw2LS8oS+TzoC2KsL6JKKuFAIO35s207RjSmGAogFovN8ZAWFCwy5cgu2029ofd4Vm1yjQ/1vvlPRo9plCg3Hu32l+f58aIoaqLlWmXnXwa7GGUwmnxps/7ci+kB6956pco1ubCG5/lQdW2xAyZ5poS5p6+v7yMf+cjmzZutmxO/33/vvfeeeuqpsnwAq6cQCAQCgUAgHBQQAXpBw3FcoPd+HqYkNgRQbbwNPW9rPXy/5z3ldasXiAydQVW40az5fM9QPzP4vGz2izBe8ijDo7/vVM+qaDyiurYRaq+KqOrE6BBShzDt4lwBVVXo0bcoMwnYsJRE+rhjjJdmx5waKyXmcXt5rljp3dRUis2sV4Youre/v3rOk6BrQ8FeO0UQ0UwuQbx1797Fzc0AwLIsGPZZqxmeiTM/dRFCtjnO1p4LujdgjMFBrnrnkV+rqK61Bl+6sTchNxTD5PqoXKIYyT2LgBAyDCNVXdDlcpU2pcHzfEq2xhgXTLvWGTHw3ivTW0bKTyjrLF2A7peP8ItklIZANQAAIABJREFUVmM+MQ3Dk9hruwmZKgAoilJa3dRDA5fL1bD7dttNXYGTOWXE9eS100qyDjwyIi+TTvhsrut8X2vr3os+iYdzrlnaeetP19z4ldJGaxhGR/vu5SvXltadQCiBPXv2/PznP7/77rutX5Pq6urPfOYzV155ZSAQmO+hEQgEAoFAICwIiAC94Fl5HWy1KZLGghKe+Lu29fHusguqis8MmgMQQmXBSgieBwBJ05wYG2Z6nyjD7SXsqjb2aGsrE25eDQAcx5WHqgHS8nMrqtKD19z1kS1fuUH7xz9nNHoAAODO/WBpHcv8vriSw0Y5h7tFtvpsocjz8OjC87w+MMq4bZK4c6kJbKguFYANHTlwiTFN07KUKXmctoNJedcU3LOiKKpQwSf6cgVgQD3rrq8MO1/wTSgFhmH0wlH2HTVNwxi73W4AiEajJVu7WKciQsjtdmNDUwQ/n7S3LNcZ0bzkzozvcG3LSugs7cigUYJn/UUldibMEuNjw7nSZRk9FonYGwsdJlAU5ZvYQhv2szvhkWdt2wPRHb173ylrXJPRruv6W5ddqb32ev6DJp96BooXoDHGg+1vcIm2ZUeUsnqJQCgWjHEsFrv55pu/+93vWi0ul+vqq6++5ZZbFmaCCIFAIBAIBMJ8UYTNK2FeEETXUPjKXFtZUBqGf5PY9psFnplFUZQvEJRXfDy29MvDdddEoOjKfs2Jv3d3OhKvaZpe+4Pven724+KHmUnDhR8rrSNN08aEfWIXGi6u6h2imXn5cGu9xeVjpivO2HAkJzLMTP80mqYlSeK4Se2eoiiWZTHGlhuD5f+bB8MwupZekWtrR/XZyqafV9QtmskICU6gKEr150jzz3suWa4vsVgsEolEIpGS1WdFUVwulyRJyWRSVdUuV9VrZ97y4qaf7zzyyoRrWiHQ4ZqjzEvvZLJ8PCmK6vMcXcKhDcQmjvkmqZM274z2d+XaxCUHDnMhSZIkg/WU0BH1vZXR0tfZ9Z91xxZUnwEAinfLjcdjaOtPKmLPBddeeJh/ZIS5IRqN3nDDDcuWLbPUZ5Zlb7jhhi1bthD1mUAgEAgEAiEbIkAfBASrajvFU/ME+MxOYdvNI8ODczakkmEYVvb4mOWfyiUUDUDO2m4N4w86F5iWnHZq3ROPQN4CRNTK5fVPPRp+/BFUZSN+ST/6vsfvd3i4bOrL/bajxcFwsbvq6e0teRglw/O8MVicVp4C5Spg6JlWY60oi15bIpFILBZTVZXneZfL5XK5NE1TFIVl2ZQtQ37ynFG+ZRuJLDhnJBuW27b7f3lDnk9hFp/wo9FoLBbTdZ1lWUAIEDJZfqBuw+vvvfn5D9297bgvRb31nWf+r3/T5xjGXheT15xbrP6dYALJE78rEPONBYCQyHmZjXpXzFbR1IMVjKs7fl9KP3aa723bq6+1n3Y2KKqTvmU/tFn7lYc9O972t/6Yg5i5/Fpy6SYcaIaHh++7776Ghoabb765q6vL5/Nt2rSptbX129/+dlNTE1GfCQQCgUAgELIhAvTBQd3KU4fpljwBCKCq5/8GuvbM2ZBmAkVRuwV7d4sKaAeAPrBJO6XAjO74g/OjhMLhDW+9VvPY36iamuyt9Ib1R/zhgYrq6qra8Pqn/7XqzVfL//Q71+UXc2ec6rv1+yvfeHn5WWc6P1Y2DMPQI7MjHKcK980xzXVhfWyolJ52hQoBAOtThSoZhslfXK4oFEWJx+OW4kzTNMdxM/9PU0p1ACeUALXuRNt2enxIFCcLkaVepDgQD/kRxkYOHgktaTv+2pr6nNNjAMBx/MDaG01nv6o64vc0fJo++Zts8WmehFkHY9ww8I9cWxN8Ra5NhwOSJLVs/15pfVFoRer1nmee67/4U877Nq5cUTgIAABM0xzb9tAK/e8YYKDmKpdEqr0RDji33HLLJZdcMjw8DADnnnvua6+99vDDD9fWLkRDPAKBQCAQCIQFAvGAPmgIrL1EeeN7POST1WpHH2yPn169+Jg5G1XJ1DUv797ZXaP/x3ZrJey2bS839/T0d5aFirjFr66vr37yn6MDg0PPPhd96hmIJ5DHXXHdZ6ubm9PDBEFoXL4cltunYZZGXTi8p3eA8RXtN5JB9nr/OaOlqqKtf5jyFM4EN1UVxEkPVWzoyDZLVJRomrZ0Z0EQnGQol4DL5XJu2JonsREnxqB4rxhCaTB1OSfYym77vPmZHwGArusIofSPjMqVa18qLper106ABoB6n2Tbno6/rDx+4vcTb/+ufGJzLmk8xlaMhM+paFxVR1LkFgw9W5+3nVuI8tWy0rPAHa4ONAx2lLCcjQmUp2rye73riaeGr/mC877y/3zdYRazkkwye+4O4TEA6PJ8oK666DVGBEIJpG5geJ7v6+u74oqcdl62PP300wVdwggEAoFAIBAOMcjdz0EDRVGw8jrY+p38YY3Kk93vjpUvnVH27hyAECpbckbvTqNK31xUR8/gIxC6qtjD+SuC/vPOhfPOLbbjDGmpqtjd3ccGZpRAV12Zwx53TmgKlXX19Wue8vzZplxsBLyTlSGxkoAcNgUHel2qKIpFlQvLNx59pg4hBOf4g6EYJ1Cqzf85lYjK//7j2Akf1HXd5XIpioIxNk1TkqQS8twRQi6XCyGUPf8hCMIE58bITtTGplXnsCAcx3EbLh0aOwe9++fy2JZUu0aJg8GNYsNxkuwOFTtowoHENM36Lnt/iV7v0S0DDx/O/huSJDXuuKW0vgOVZwQYBgB2/vOxkc//t/OOyOddef55TiLHRofKuu5mQAeAbnpd3ZINpQ2VQCgZRVFefPHF+R4FgUAgEAgEwkEAEaAPJgRRHF90vWf3rfnDarTX97WWh5rXz82oSgYh5F9yZu+7epXxjvNeMgwPRydkuZSCSPNCS3VoT09/yRq0kYgJAUfK14EjXBmKxeP9ClC8YBugjQ7VV1Wl3opaUgW7D8ic8tw4QJpOUdafkiQ1v5XbZpTmZmFABGcghKJHv8/z/J+zNw2dcn7XSRfUKMOqqsZiMSvrmWXZEjLoEUKCIMRiMQCQZTl9Dy6Xa1TwJ2h71/hApB9CTc4P5PUF4JhPJgxD1zSEgKIZhmFIOv3CpK+rvQHsc5zLo+/orGQVNT0MkSSpcfcdCEq5VhuI86zaBAA9HR226rPn01dE/t/vccTmW7zisb86mars2buzIfKQFReBYPiIuZ5gJhzOrF+//oILLii5OzGJJhAIBAKBcBhCBOiDDK/P31t5RWXfr6y3JlCU3ZNzbfyx7v6qYMjG+3hBgRDyL920q7V+cfLvznvFe96SF5904EY1uyCEWqpD7Z1dVLDoj8NUkw3eBVGgTHK5GkU8OjY+nFBZ/zQlTe/vaqmvTX+aqqoM7U2YNs9XLJ9y3jgQT18IoaIKGwZ7n843CIYI0HOK9L6PQ5YA3X7VrWOViwAgyogAUQCw/BBUtRRbAEmSbGVrl8s1IJbpVE6vm6XN+dyfc0HTNCmGtvAJtP0p1yZ/vHXcv/bwtOCw1GdWL2JBSTqDR341wDDJRLLjzA/ZBkzc+Svb9qYn/uYOBAruv3vni03qM9ZrEyjXumtKGyeBUBqXX3755ZdfPt+jIBAIBAKBQDiYIEUIDz6qahs7xPdYr23VZwBAAOGBe+KxEh8d5xKEUH3L6vGW6zWwzz3MhtVHD+iQZh2EUFNdbTWtm0oiTxg7PuhXI2p3mzHYo/d2uBNjTV7XwhGwEEIBv29RdUWDSDWIVAiUWg43iFRLQ12GmowQSq83mA72V1h/UWkCYn4kqYhcRZ7n5ZEteQIYYZ4Tzw833F6vWjaVR6+7PFu+/ntLfQaAGC3O8LuQnvLMMEx6kUmVFfKoz77xXpKtdqhimqYn0Z4nYKDqzMNQgJYkqXHPnSWrz7vqLgsEKzHG2677EhRTbDb81wdD9fX5YzDGE1vuT6nPGCC25AvETpdAIBAIBAKBQFjgEAH6oKRh5Ul93KTDRp7FsUz7/QeLeaUgCMaK67v4E0xH5+RBKQdwHNfkk+jhnmwZGmOMR/prKkNer3dxS0tzXbilqbHMQRbYPCKKolVRUFXVbIEGjw/bd6MYSylQVVWW5VkcjyAIGGO3211QK3S73RRFURRF6zkdhE2gZW/h0ouE2YX+4u3Wi8GNF2z50n06K6Y2aRTDcTPKSVdVFSGEEJJlmaZpTZucI5FleYjz5eqFTGNZc8NMjktYyMQi43m2RtyLE4l8s4aHJJIkNe65i9UmSus+Ii1pWHE0AAy271Wffs5pN4Qanvx77fJl+aMMw0huuycIk3MGGGCo9tMeT87vL4FAIBAIBAKBQFggkJyRg5WqNR8c3DxRbuxCAFEok8FG73Pjoba979Y0FniiWyAghIKLTk4aJ4x2vVMReZKFnBmyutw8lwObXWrDYQBQFGVkbFwFygTgAJd53UJNVcG+846qan2jYxrFYIzBNChRojgB4P+zd99xklVV4sDPvS/Wqxy7qjqHycMEhiwICIKIIiiKASOK6bcqrglc13XdXUUxsua0aw4oJhYkDEmSpIHJqXu6p3Puyi/e3x81ND3dr6pfdQ7n+8d8pt+9771TVa+rq86791weTDDVLC1kEwGfLMsA4JOlrO0hTG088Te3d0c4jsvlcowxt9tdKBTM0sPuTNOMWP15vrFMonow/tIgxftzC83r9x//wC1DojcbsPl14GY3yHH8nsfEKhyyLHfLpYszM7bBZVG8ElYuVS1XtKe39rVm5aXGlzVFURqOfl/QZzjNKCsllXM/VPx/+8dvcrqb17P+rj8Go9HyvXRdIwd+GIDh4o8MoDf+rmR8qZcaQwghhBBCCAEmoJe1yPa3jjzzg6DVYZt9LmrI3K7D8khAF3EcF6nfbrJtwyODWu+TCWsvf3ImeoA0RWpPWazw5ookSYmqGS5LuFi6e3tVX5T4wrZ1EDjJBZKr12Jm/3BtwBONRrJ5u4HqguxyuYqrwM0twzCKGe1sNqsoCqU0m83a5rg5jmPASZnjpQ5lAXVtuWLOI0RO1Gza0jFgnxMc5d0CyczmvsWkAtAcxxVkr0VK5JcZWy+qQRwIv6KVubvAXig4vnrIslzX8StRm3mRK+2MD7spBYBCLmfs3udkF+nqK+ve9XJhYGdqkC8o66J1m2xnsaiqKh+6VYQX3xw6g9fU1VawNChCCCGEEEJoEWECehkjhARPfU/qqW/6YKBUHwpWe9vh+sY1CxnY7BFCAqEohF5psMvympYa7tTSg5wgeWPNXsWD9VgXnqqqmj82/fNOCOcNdBmMH+gu5PNy9ZSl2wghiofkcoyxuX0dJ+Ylc7kcIURRFMuyJs2gJ4Tw2ljBW5c89NNSh+ra9tG4a0ms/bgKEUJ4NWtI7qlNGV6pKbGK4MyIiqdHKFHpm7FNsh7A7PNK5/WXrHRkcbLzmvIrAM/zVcN/d+VK3pmbVk/s5WGPr/j/vl3PT9vfdcMHNp2je+go5B84sSm139hzxzH3FbVNJ904z2YzgdZvTlz04qjr8paWZX8rGiGEEEIIodUDE9DLGyHEd9qH8k992QUlyzU2Z35vwKcWMqo5RAgRJSmSaIbEMi67sQIcH83wPqfJOEKIGYrD8SO2rcwTdGXTuVzJ+sszYxiGIAgT63sUx1l7PJ6JQ6EVRYkd/WV/3eWubMk8SzjZMLexoYr4rMIw2CSgAUArvVRgRQghLo+3WyqZfGwwxwL+ZVAVB81SmTHOJl/BoqbOud3uSffe5vCeyozJshxO7wkNPj5tz+7A2cnRx6ZuV3l/6NSrXvy57P1F7/9851TPTkJs7p3zoLdkf3+o9fX1TeuKW0zTDLTeOjH7fES4qGXTWdOGihBC80Hwuj1rnU6/EHzu5Xcnk0Hmnr8Unn3CYXf98P55DWf5kRQI1TjtLMjzGQp6EWMVrH7GKhkmxRi0jxWo4z18zFoKObjRnPbY0UGHnXVzdU0KRPNnKVz8aFYIIdKp/5x/5hYX2C9Yz4HRdfjhqjXnLXBgaCXhvBWv8iTXttg3EEJlBXK5TCbj8XjmKvlCCLEtzpDJZBRFIYQU89GMse6WNzXv+mKp4zAAQZibLCeambpIaLhEjZZhweOBmdcHKCKEiF5/meyzNzNQ3VQ3y7OgZWGst7XEGHhob36PNXfvTrIsi6DFj9+udHRMbLII37rx48BYpkTJoAXg8bhr2n7mync76WybfTYJb1zweWHCt7XE9q3dhMDJj4iEgpFbbtzof5LAzvJniWb/DrAOABiz2L7vUXixpn+neO6arRc6CRUhhOaDmcnmj7Y67MzL6+c1mHmSveevYOoOO/OKyAk4OXUCowApR39SAQDcrun7oLnAgBUcZ1Er+khmATuWypvO9iAAG9zEa1vRcmGN5vW79vQ67MwsBovzKRWtNJiAXgk4jhO2fbSw6ysy2H9bris82DeyKRAsmXBBaCGxQMSjFTKZjGEYlNI5KbRqmqbX602nbW7D5HI5QRBEUdQ0Tdf15oO3ljmOzrnxQ/Ti4ngOwP6SYISWutPgEM/zoPj6pJI3VKihndJYO+Pjo2Vk4Pihmn3ftG3qqblyNqXqRVGUeeCMHGEmtVTf6PO+9l22byyUGS17v6BxyuHG91LKFQrlFkWcDx6Pp3n/lykruWrrtEzgx875D8/J9+1EWd742M4jn/434+ARYIxWJ6o/emWj8DzAk06OGYSe4UzK7fGNHrwz/sKqgwDQJ+6o3fqKGYeKEEIIIYQQWiyYgF4hBEGwTvmIvvsWAey/vvo7f8oCH8bqyWhpIFBcqKpQmMNB0GXykrqu8zzvdrsZY5ylleoGAMfq3zClcDVaUJqm2f5tosxMqsPpWWSfJUkquPxjgqdMn21BEd8nV4Oh3o7qPV+zbdIF/6jSwmaUC5ZlWTHHku0/E/QxJ/0NKvGWmherqoYeGY7bDOx1uVyFQmE+BkdLkuTXupL7/ns2l3uBDxrn/5tHFKc2+UOhHd/5JgD0dbbWjfwSYPqq0BNlep5n8S1x/dnxLQPchvjWq8rsghBCCCGEEFqyMAG9ckiyrJ7yz2z3fxG7CRIyZHoGOkMxHNmHZsJS85w8L+vy5fN5SZJUVZ2To5UfT53P5xVlmkdRs+7UOYkEzdhgKguC366FTFpSsiKKooxKgRxfrtZejTnmcsVnfAq0XOi6Hn+2ZB2e9jXvLWQqLlLv9Xgifff5Op+jZW9xTcJbKgD4822tda+eOuba4/FAhfNAneA4zitYtUe/w5uzqsU/6l4jveRDIlfuk+To/j/XGZWlnos8egfXfmD8xxFSG93+5hkcByGEEEIIIbQUOC/FjpYBSXYZW/+lZGv/NFUXESqFjDpYo4AxcFxMg3lDxXGmpmkCwJyMOWWMlVtSzDQ5jpOy5YqyZVxJwW4oH1pIpS4Gi1BZnkmlPEqpx+PtUarKZ59DucG6eNUMjo+WHen+T9neqe1Nvuro+n9OV5h9JoR4PJ6WfV8MDD1ZUfZ5otrW/+X5FzO5xWOSeVii0O121439vfHQrbPMPrc2v9d13g1c6eyzqhbY7q9XzSj7DAB5U/azE6UJh0ltcMf1ODUBIYQQQgih5QtHQK80oijlNt4o7fsinfLtOsC6nS4ngdDJmhob2nKm7fd/bXhADEVP/MAsp7e1JJcgCJqmAYCqqrIsz774qaqqZQZTM8YkSUoe/nWp3RkAOf+Ts4xhabIsa7ivK9vf6s4dL8hVzF2VbNrI8Uv0/V/iSy7MkaVObw8Ur1XF4wEgg6J/mJZdWJKxaGFobQNOEFkVuvY/0WiXe+2pfe0AX2vmSs7GEASB53me54tjknVdp5QSQpRcR/zAD2ccDwPS59sBnrhhGADAcZzikn0jz4+5t6bnOvvs8Xha9n2JlKixrlG3aE1f+VrjPNoF/1lT9l6dWsj7Dn9lhlECAMAQba629gFAH91QdeqbMfuMEEIIIYTQsrZEExBoNhS3O7fxk/y+rwlw0hfpAdpccuEthKY12A3R6qmbX8w+EwJl52KXIQjC7BPQhmG4XC5CSJlDcTK0+V/V2PXXqU2dDW+IS+VGyC5HjLHefY/UHftFclLDYRjwb5N2vE12LbnVtwMepcRyqiAzg5tQNJwQUkxLudzuMcEjm5pKBdHSZUvPU1Glwgjv6NHF8oNrGurmKHy0pOWymYZj/zN1OwOa9qwxSyw8qChKYOz5aMc9JpUEK3csfLEqVbX0/akjfHHTwF8pM2YTEgEWTz11tPqfIat6PZ5k+68BoLPumrlNuBJCvIrUeOArttlnBtCVfI1nzUvFB/+5zEEKfLBv3bsTdU3lbwRpmuo9/FXbpjZyWj17lsL0ax4qbjekoVfYntj2umk7I4QQQgghhJY4TECvTIrbo57ysb49vxGILllpAlZKbPG1vHyx40LLWENtTetIlnPNWSVoURSLI6DnkKqqQdIfhFzeVZ3RueKIwiJBEOK9dxCAprF7RyIbhcyIu9AzcV93w0qr/mzoeuHRb9VnDtq2Rsd2sZ3PdW/8QLRx8wIHVp4sy5CxH4XaI4cEy4gTkslkFEXJCUqe8IzQYU4CgAw3k2R6Qh1uwuzzySzLGu7u6b3t92YqTSQxcPZZsdNPW4L3KmaAPmm/5h4Bq6bjN0dirykWBSrieV6ReM/o3uihe6mlAwC1cgBQPfqYYGYBoKX/j7MPqcAHOte93zAMRVFa9n1RE0Mda94r6OmMMWef0CilQZqu23+rbWtOrEpv+2AsHAUAkwgcs5krlZZrU2vfGK1uSkx3Lk3T3Ae/alvhBAAEJdgFl9Rm75w25pb0r3uks5NbLp+2J0IIIYQQQmjpwwT0iiXJrsi2a/PP3prha/jq84M+20W9EHKKEFLrETtVnfJlqxksKk3ThviIyyNyY0ebM7t6klcp6cOGGFRd8UTXH9y5Y8VuwUIr40l7/JL63rvH95Vc7sUJen5YlkXu/1xIHyrThwCr3vetLvb+aNOWBQtsWpRSXi8Ygu1odKJT4bgUUXjPKCcxMttlDGqMsfpam3H9q1b/8c7uL9xsPPT3ifXc+//35/2EBP/7a80XXriIsc3e6PBgLN9eqtWVbVdkSTct0zQJIaIoJo7f7knb3L8pZp8dyokxl9ZfajgzA6DM4NQRkILNe79wZMMngHJK+qjqSky8fzYbPM8HraGa1p9NbbKA9m76cKRubfCFLaPn/Dvb89vw2HMELJ26Mq66QuIcd+0psuyKTt1/6gEtSzp4a6kBzgxInk+AswHjHfIF9adc7KQnQgghhBBCaOnDBPRKxvO8e8eHjWe+52+/NU0T+eSVgWB4sYNCy5goitVM7dZNwpWs0uvcPNX0NAwjnTEkpUHjeo2RY4lh+6F2BFhD5qF0sIHLpl3a0EBge2BlLT+YeeS7kbLZ53HJ/d9JxW9xKUso/y4b+Yx9AhoAAAjJOautUQ5ja/hCLBaf7XFWCtM0n3/zW83de+2bGRv54EeG7r0znJxczWUZ4ff8skwrAday/0sMqMF7dM6lqH2zOdeo0pypuThQu0EUpdGHvxnM7C9xUhDNTLjzTm+h/fD6T/hSB9zpg/3VV+RUXRAEXZ/twg1utzvec6dv1GYlwLRcy533icjJteC9vgCcc73GGGOMUuoGqOh9IXXgz1WQL9V6xPcW0zQp5SygtEQd6hM9pUvXnHJeJWdGCCGEEEIILWmYgF7hKKWBHe/rfeZXcWufr/M7o11JaeM7KJ3tsEG0akmSlGCFHovOPn3M2ItztNPp9JysQzhOVVVL9K1nj5tVyQ51fcPoTttuXr2XiXAg/pZw3Ya5OvVSkBobi6R2O+xMAMhj34CLbprXkCoSd0tHyqWnZosztNNibp6fs3oyy91Qb2/by18J5jSVedsuuTy859mFCWnOmaYZzNpngSciYAlGSjBSMzgFA2hdf0N1fQshRCGkeHkZhhEokX0eJxD96MZPUKAZ//pMYCM1NZfLlU6nZxDDOEqpoigt+262rYbRGzgzeNbbS72Nj1dXr8jw0EDc3FOq1SSSbpiGYbgkrtQqiEVtnqta1q+0gkgIIYQQQgitcpiAXvkIIYkdb+7adXtSfzrAumHvfx2WXlm7ZjuuKY9mRpbless6lspTaVajUCddgTw/x29HQ+LWkLqXA6NR2jNatY2MDvrUTpswANYP/17d+rW5PfviIs//vKL+vsLxVD4nz12B71mKhUNH+nIwP7fKIunedc2N83HkZerwzp1j/+8GR12t+bwtMM/UQn5ei1in5Rrh/Btrp1y0o50Hp/296qp/EwAR9DH/8NOBoX9YhN/f/KHZBMPzfETvTOy7bWoTA2ivf1ty49mzOb4tf/evy3yq6FHOBwZuifBmukxBku7ItU2N6+c8NoRQpSzL0nU9lZrJ3bgFY73wVymTySzY9xpNr2D9EnO6O7sTWZbl/DFYzHL+6rBsxmL2pfltuzvuWblKjs0YY+D8dWWMMedPILMq6GxZlvOPpJZpOu9smqbzWaWWVUlnZlHnzx1U8GxUqrJnr8LOFYXhvDNjFfzCVP4bc2KH8WXVy6hoMpyua87fFnLZORv4NVVFz182m3X+p6aiCnWFQsHJEzL+Rl0oFOZ8hao5pKoqVHglL0GYgF4tqrdd1bVbThYeAYA16v+pex5K1b7VF8CKHGgmKKVNAXdPb1/e5aOiNLODMNkNLwzx43l+zt9MM5nMAeWaKn1XSN8fgG4IQAdcFBl61mUMT+qZFZPiypoWEMgcqnSXgX0P1+64dD6CmQFCSJ2V7qBzXLle0LLrvKI/htnnFx1/7nmn2WdUgk5d3evfl6hfa9vqbfvztEeoOfIj2Rgd/3EwfvFsim8IghDL7Yv1/G1qk0Gkvm2fSMbnvo5KIZ/1w1ipVgYkz8cFAJfWbYB9sSMG0Jd8d011w5zHhhCaseXyRZexyvJFszzX/B27or7OXx1mWVBB2EtqiNKHCY17AAAgAElEQVQCvazTqeA5WRrXByyh13HeAlkiF0elxn8XnfwKV5YJZ8z520IlN6Xml1VJ2JVF7ex9cvxJrugJXHhLOTbnMAG9ilSfctnxvUpN7h4AkCATPf6d3u6NgfVXkpWVekMLJhGvYoz1DQxmeZkrsYKfpWtUKJFumPAHhFKay+XmPMJ8Pj/s2RbST8x/r4PdLMwf0y9pGL57YrfMhneG5vzci4paFWevagfuBlgqCWgAqE3GR9u7U67g9F2nxZhSSDUFFH8sMgdHW0EGe3r63vTWxY5igfDC3K+eyoB01742vPFliRJ/Rk3T9BY6pj3OxOxzxt005N3MZlqPSJKkqtEnwgN/n9o04NvqOes90bmo4D9VIZcpc7+ow/MqANB1PSvWN4z9emoHBmSo/oMJrMmO0JJBKRUEIRAILHYgJTHGRkZGil/IvV4vNz9vblMNVjLwguM450OgKeWcp1Yopc5fHZOjaUorGIw9fyrJRVZYDaqy7sT58GAAWknnii7FyjrTCjrTip6N+cxW00rWDKfTLBJxEq6SJAalFEoskjxV8WJy+vtY4ZM3fmyfzzdtZVRxyABwOiZXFCXnbwujlSypXamKfhm9Hk8g4HPYWRAqSGDKLtnJE5LNZvP5PAC4XC5ZLr0K0WIrBrncq+ku7+hRpWo3nd/he+34j3FzH9v37YomMiA0ESEkHos2h7xJzgibOW9hLKhnElSv5s0E1WsEy6OXTivnM8ILKSFN07xe77xEyE66vAlAo7CrO3r++EeKtuo3hyKx+Tj1orL/yMQA+vz2xVVFc+5vAMzSKfXJSMHROoqlCGo2po2eHuS318f9fqefbFYJXdePXfSKyvbxzcsv6cIQRanfN5eVhTuqr85d9PXo5ovLfBCsdKCcwSmdNa+bcTV8WZZrBu61zT73RC70nfPe+UvQKD1/KtWkE0XjggAgCEJ1+g5hyvcoA0R106eimH1GCCGEEEJo5cIR0KtO/bpThwarQ223Fn90sVFr/5d649eFo1WLGxha1kRRFEWbkc6KJJXKaxJKJ04zn6cpjS6zf+rGarp/tGqru39/a/TKhvVnzsd5Fxcj/KTM+wtI1dgzJfe6+8bMmZ/w+udi0PEcWVdX02wY+9s7U96Sb1DEMr3p/tqqiCyK6WxuNJMVBD7s87oVhdJ5rfq7vO37l89WukvwG1+dj0gWjPv0t7P7nrVdlM8JBpAXIj2RC0LNpyseb9zB4A6O48ZcDf78MYen0KTQzLLPhBBFUWo6fq1k26e2ttdcHd/8svkrkDo8NJBgNu+0Rce8r0un04IgeGFQsYYyEOn3XkiZ1pD5EwCMkBr/9ve4FmroIkIIIYQQQmhRYAJ6NQpHqgqeT9PdtwigAgAFK9n7g6PZq2sacOUfNMc8Hnd/SqV2k99ZpNrDOseXX8hkMh6Px8lqDM5RShN5m8GAABCAnmPxSxs2vmQOT7d0FISAog1O3V4+9Sbpo9Lfbzq+7ZNVS6kMK8/zpzQ3AMDho6397iogBAgBxgCYUkhvSoRE0QVxT7GzLMvR8AqrpzIvcrmc/pc7bJuE66/Tv/8jmwZCGk8/bX7DmmeCKHZs+mjd3q+UScQyIH2hl0ibr3S73QDAGJuYt+UBais5IyFEPO9j5j0f4exvCE3WW3MV1enURas4jlMUJf1C0fzikd1uN7V0Kd8rF7rdmaOurE2tDwZwuOWDDWs2VxJ1BSzLGjjwtzrzadtWg0it3jcU39V1Xdc81Yekt6qqKlO5On03AHRyO2pPvWqeYkMIIYQQQggtHZiAXqVk2WXt+PTorh8GzBNfWZvTt3W0vqKqaXnnF9ASxGdHrUDUtslweflCYbwITC6Xk2V5xtPPJ6GUuhWZpEtW+2IrtwZRZ+O1aw9+fWb71u66uV/8TCA698uUzdKa5qY1k7fZVx5H0zr0sU+WarLPPgNEf/Cd5V50DAASdS2Zqq+PtO92Dz0r57oEMyeYWQCmCsG8nBiteUWyvjk0IeM8+1HDHMdRZ9lnAGg6dOvR9TcwKhumVSz0VhzaXHzmKaWWZRVTz/6RXbH2u8ofzSJ83/abGqoSs3wIttRCfrT1oTrzyboSHfrl0wdpS2HCPcVMJsNxnFeGprGfMoDjvivq1p0xH7EhhBBCCCGElhpMQK9elNLgqdd37vpztf6P4pa67F0dx8Sqhi2LGxhaYeoSVW0plUwdBE0I5w3whWwmnSpusCxLEIQZJKB5ni9msQkhxWVzRA4i6jOB9KEyewnuFbskXUPLOnaQzLjUQOTJ/9Je8Q1ayVInaBkZGx42HnjItolEImzQbux8XW3d2WfNc1wLRJKk+NrTAE7cbdUBGGOUEPf83NBgjBnUJVh5h/2bD3wNAHTBf7Tpep7jgkOPh9sfGAtsHah+paIoABAcfDzS/sC0x0nL1eQlHw9XsliWQ5n0mNZxb8LaX6qquk7cx7xXZnMFy3rxzZxS6lZckcIzwfQ+AOhLvreuuqLR5AghhBBCCKFlDBPQq13Ntis629ZUD/6i+GNd+s9t7VKyft3iRoVWGJ+eTfF+27GELJLwMGu88sbMlsR0uVwA4NFaXeagaI3K+UHqYJljJVQ/g3MtF13bP1nz7Bdnti9lZveeR2q2vHRuQ0JLRNtNnynVZJt9BoC67397/ioIL7p5fWiEkMHkKxKdt1e0l6CPrTv4FfLCSvD+0ef6E5eG+x8ODT027b4MoKvp7dG1Z87548rncmbbH8NWa6kOPa6XZsR6VdW0zIni/4QQWZYppT6zM5F6AAAMENT1H0l4/XMbG0IIIYQQQmgpW/bTadHs1TRuGGv+EIMT31QbU7/r7Di6uCGhFSYcDhm9x+3bCAX3i7lpbkZLUWWzWWBmovBIQD+omH1Oss8AIIjyDM61XEQTdR1Vl81498bjv57DYNDSUcjljIfsC6OX4rnxE9G6UoUW0PSCmy4e8mysaJeMd9149rkocfRng9z0xTQGfNszF341tu6suc0+M8b6Dz3gP/rVMtnnLuXCXi2STmc0TStukWU5KXavz/6qMfPHRO4BABgjCbL9Jg9mnxFCCCGEEFplMAGNAAACoZix9TMFOLGQV9PYr7qOH1vUiNBK09JYcrgxE8Tx2rIzS5pYljWDgs6CKM7gXMsFIaRqx6vbkjNc4IsAm9lodLTEjRyp7P4if9EF66598zwFs0pQSr3n/VPh0m857N/ecn1f8pWTD8I0LtzUXXdNqb1yQnj0pV/2v+R6SXbNPFY7Ha0HxT3/Vav+vfy7c0A9IMsv3tVzu91V5t6q/OMEmMgyANBNN/t3fIDnbdakRQghhBBCCK1sWIIDnSCKIpz+qaGnfxSy2ghA0+jP26yrTTVjGobkUtzBpNsT4Hi8YNAMEULMQpaTFdu28f+qqjpe0LlSGsgiOK0f3Uc3BFZuSYEiQkj19kuGms7wPP4FyUjZ9slIVR61z7ap93hrTePa+QwQLYLU/v3OO9Pamm23fmP+gllVVFV1MueCAZHyvbVdf520vS94DqNCsuM3tnt1JK+Kb71kzv9Cp1OjvvYfrAHVSecCH9N1HQAkSVJ4vTH98/EmBtDufnXjxjPnOkCEEEIIIYTQ8oD5RHSS8I7rOvY8UJu/FwAaU7ed2JoByAAAqKD0cpvl+FavPzKzUgloNRNzKdM2AS1ILperWAZa0zRFURwmoCmllnVilno+n+90XdyUn5y1scUA+NqLnca9zHn9Abj0ZnbH+23T7aWyzwBg4gjolYj3eh32FF75iq233DyvwawqxVL102JUyAQ2BQcekbShE1uAZpU6K7Q20f5bm/4AnS3vjq/ZMYehMsaymZTecU/cOmB7xpS4pt91tmCORgtPKUaPQVztntdkCzqlJODm69O/50Af72+AMFL7nsZ4cg4jRAghhBBCCC0vmIBGk9VtvqC3qzHa/SN6cgFKAJAgV2/+A7r+wbpgiDap4XPDVbUreGUqNLcSVbFOvUTbhEnZDq8oSmlQVjXq1w3LMAye592sRJnpkzGAruAbol6fk84rhsoHZGO0ol1kt9NMJVpGomedOTJtJ0WJ/+A71du2LkA8q0pP4KzE6ONlOphUOrruI/ls9njzOyN9D2S9zTl3g2UxHvTmA1+Z2p8BdG35VFX1nK2nmkmPqT1PRdRnwyVmkxjE1eq9WlVViTGTKt3uiyVzJGN5DNVwu8Tq7N0u9aR1LIdIQ3D7O2IcftpECK0QnCxKVVGHnXm3i8Rj0/djzGKM93rAdHzkYMBhzxng/AHnle2IpYLpaKLM/CKEeINgO9KlxA7zGMw8IQCuoNPOkhu0/HxFIvmATU4UlCS4KniyOQkos21hAMyyCKUvHowuy6JeIzrL6BYAZFIFmO5rr2pYguNnL5XXn+t0+nVvKKt6RMcDChmYLsG0Jr80lmURQqZ+eR/Ol/rOj1Y7/EqAbMSr69XwTYU9P/Ax+9GRBCBitcJAqznAD0jb5drzXC7nf+/RKsXzvDk6xtmlNVkw5jH0TCbDcZymaS6XK5+f5jOTZVkqDa5N/5wBValf0DMTx9yVooE8Vntd1D+Pn9qXprbaaza0fa+iXSJVOGJxBfIGg/zLLzLuua9UB+XGT6x70zVYcGk++E9/S+H+/bIxVqpD6/obspkMAKSzhYz3bMYYyea8Mt988Gu2/QfO/I9YKDz7wAxdH+ncFc48Fgb7Wj0AwID0KOePQqKQyciyzBgDsIBAlnkFntZrD7pT3ZN26fReXjPXyyEihNDiYppmDA447RwLsyFHnQkA8btNx0e2nM2qmRmWHQPT8TQ4WYAlMS2WQX4MVMcpV2/VfAYzPwgBveSf6cnm9YOckYUpI9VKsiSwco4P7Qdm/yKSYtXGk1KgjpadX1IYQHvOUk0LACA9/auZSavDWc3hwUey6uOtg9P3AwAA07BSaadHZoyNpAqGaX9vYCpcaA6Vgt8wkT1JlsUd/6/9+XvqtYfKdOPAiKtPsiNP5kloLH51KOLgJj9axSRDNcBuXC2hwPEej8c0TZ7nTdMkhDA2zR+5TCbTqVxck7tXtqYf05mBUC55tT8UXV0jn1/QtGErtFXQ3yQCltlZkQghW752y97vfl/97++ctH1Ns/+GD9effZYgSYsV24rH83xOCJdKQA+Hz8xms+M/Ft8AfTJtsss+MyCpl94cmPU0hVwuZx77a9g85C7dhwFp816tWkI+n4cXRkb7jdZ4/tE0X+s2eihMzlNYwKWaPlgbxo8ECCGEEEIIIQBMQKMyCCENWy9pb2usHfzf8uOXCIDChpWe72s9rv7YmyKxBI54QrYILXlhMF+40H3M5fVblDIj63a7i1Why8vSqlbP60yquPSumvzOcqde/x7/Kh7USQjp3PKxmudvcdi/d8uHnc4CRcsNpfSUD7wPPvC+QqGQHhlx+/2KglNYFkI+lw3kW22bNCEwHH8ZS6fHt7jdbgqsaf+XpnbWqaxdeLNLFGccCWNseLA32PvbIKTL9xyUTxsS1mezWQADACRJEgVuTeqXxTFIXsOm8FGaxHynfcjxJGGEEEIIIYTQyrd60zHIofrGNUbNZ7VdX3dByVnD40TI1/T/ONMf0hrf6vZgAVk0mc8lD5VqE0SXy0VMXSey4HjsbTablSRJFGGMRRNE4ph9EToNJH4VZ5+LYrXN7aPX1Hf8ZtqeA4FTozXNCxDSymYYumkYjDGO44VZ5ArnjyzLciKx2FGsFpZleR/8pH0T4TvWvn/iLTev19u07xbKbMoKZaU4Pf9fnL9JTg1j4Pj+ZOqOJEwz77LARY67L8tks0zLAoAoiopg1ad/z5Wt69emvLpp05kziw0hhBBCCCG0Uq32jAxyghcE7rSPde/bmczd76S/B4ah7Rt9dL2r5VWSJM93eGgZURRlUGUlB8i7fdmBXsVDgVJdVQVB0HVHKxgwxmSBWSotlZJJkWq8HwIAiVMu6HT5kgdtlhgdN+zd5D37uoWMaoXJZlL5vr3ezHM+q3d8owZSf+CSSMOpODtk1VIf/qpcolhh6/ob0uk0AIiiKEkSp6drD37TNvvcU3Vp+NQrZxaAZVlDx56qzt5TB+WqG1lAh+Qdo9IGwzDymUwxKpfAarN3ioVyxQp1kNIN1zdFl2FVTYQQQgghhNA8wwQ0coQQUr3poqGBTb5j3+enGzZVVGUdsA4d6vJdEavfPN/hoeWC4zgzNcD77VfNYi6voqQsQ6eSS1VTPM/LslwoFMofU1VVL5eqzd5ZJrGneTfMIuoVJdZyaia5Lvv87YmhRyY1mUToW/euSPO2RQlsKSgU1L6B4bbezMCY2lDlro/7opGQ85RxamyUa/9zyLSpsSCCWjP6F2vXHWNcbTZ2UaSqFjPRq8rAM3+qzh21bTKpCJSnlCqKIue6pWxfrOdvNt0IP7Dj0+FofAZntyxr+NiT8ezOmrLL9WjE2+V+ed6SNE2ztDQAuN3uoH4orD7HFewnl4wbpvW+LW8PC0txpD9CCCGEEEJo0WECGlUgHI0bwZt6nrstYe2ZuP24cqlJXQ2ZP07qT8GqTf0xs/thtu46cUnOQEcLLywLpYq5kHza9Ee5QkY1mcfjyWQykrP10AQrXT6ZJ6b3A6zevOoksuKWz7o2q1+TT4/kew8ZalbyRl3xNYrbE1mVWVHG2N6Dbbfe0dEzMnktNY9Mb3xd/SkbpilIwhgbOnhfdf7v5btRsIJme7Dnx0N9DZ6t75hNzGgZ6Tt+tLbvrlKtI97N4d6dQSoqfa2ufJf9EXw7vGe+I1R5HSHGWN/RJ2vy91WXTj0bROp2X6xy4UKhoOd0gAIhRFEUQkhI2x9Vn572LMeUVzRuOrfS2BBCCCGEEEKrByagUWV4nk/ueOOxI3vqR349vrEmd3dGaDjie1Mye59i9k/axQND7OCX2gJvqa5tXNhg0VIU8PtH0iq1GyjH3H4KkOtpF0UReB4Astmsoii5XK78McdoXRwIKT2v3M0mX5ZIEAQhFPOFYosdyCJLpdLXffUfqmF/8WQK1qd/0XbRKYMfvqZcWVv63Jer2TRX6URh69jxfXfHNl5SWaxoGSoU8jV7vlKmQ2TsmfJHaFv34WTjuhkMmT9+8Ilm7d76Em+MDGir9/UmEfP5vJkzAU4MeSaERNWnfZkjAMCVmPCUIlU+1gcABVDolo82Yq0thBBCCCGEUFmYgEYz0dCyWVM/o+++VWGjAECAefU2r942IrS4zIGpeUAC0DT6i2PZl8bXnYcTz1c5QgiXHWOBaKkOLreHMMs0TY/HYxiGZVkejyefz5tmyRF8qqpmubjH7Clz2tlFjVamPQfabvq5fWGEie7bnb54W+umdU1Tm0zDEHZ/WYBpChRMVaM+WrAuppRWuiNaRhhj7Ilvlbk3Vt6Yq4E754bqCucPMcZ6O4/Wj/6mxe68DECn/mOeK3RdV7MqvJBiVhQlYLbG04+VOzKQ58jlEtU2mHczgGPSxU1bLqgoNoQQQgghhNDqhAloNEOiJImnfez4wSeqU38d/3Yd1I+U2aVBf2hs7xFu7bUCluNY3eoTVW1pjdhNJ2eGRkUJ1DzP8wBACDFNkxDC83yZBLQkSZbmKlPddIzWB+cicrSS/OG+5//nfqdD47/yx44ff3JyAtowdGH3V2eQfQYAAjDY1xVL1M5gX7RcDPe0JUqUfi4vJ8bSWz8YjFQ8QSE9NuLq+EUDjE5tYkD65LNSYks+nzczmfHtHMe5XUJj+jaOTXMlE2Db2F/BhDz4tJbrmoL21fwRQgghhBBCaBJMQKNZqV13Zja7Sdv/swCzr1w5iZ91mwe/Mph8VyBcNd+xoaWMDPdAzCb1RniR+SPGUK9oGZZlcRyXz+c1TXO73apqnxzxuaVIZqcXesucjq+5YE7CRivGXY/sc559BoDBtJHPF1yuk0oNFPb9yg35GcfA2AwHxmZSo+pQB/TuFQpDcr5XdcW06BZ385myyzXjYNCcY4xF9nyr0r00zjOw/t3RunWV3jNjjA0euLvGeNKmCUi3ckFOqM1ms5b2YuqZEOJ2uyPqs6HUnql7ldIlnl2z9XKlwvAQQgghhBBCqxkmoNFsud0eZcf7ult3J4d/66Q/B2ZV9w86jXdFq5LzHRtasqqTya7J6729yDRNIEAp1XW9/HEIIVH1GX/Z7DMAaCNHwXfqDOJEK9JTu498+87uSvfKnpyAHunvjJutswlDECurnMsY62s7ENv3k6A2MnG7u9AHI7vh0C8GwztcZ79TFB0t3Ynm21BPe9KsoDL4iHu9vvGN/nAsWnmhqtGRYX/n/9ZAdtJ2BtDlellerMnlcmYhPbFJUZSIsTec2uX8ZCoohab31IRLFlBCCCGEEEIIIVuYgEZzgBBS3bxFq12Xev5nYXbMyS7V/T/uF98fwAm8q5UgCFa+YLsUIQBIoZg11GOapiAIhUIBALLZrMfjyUyYNj7OJNNXdAmkHwHABDQCALAs699/c2wGO8riSX8xQ92/LNVzlCQDbJoEtwUkWEki73jrodo93641JmcYJ4oMPa3fuU+99GZJxqHQiy870OGw57HY5eFNF7ln+qr1HPp7vfqAbR75iP9tAJDNZi3LKm7heV6W5aC2L5TZXWqNQVsdwtm1Wy6TsWo5QgghhBBCqHKYgEZzRhSlyGnvPnp4f+PoL6YdUUUAwp0/MgIfxzUJVy2PmskJIfs2AoyxQqFgWZYoipqmAYBlWYSQSVULGGP9wlbRSnuMcrkeBVLDmZTb45u78NFy9d3f29QomBZHwePxjP9YKOT9rOTgVh/rBYDDoXem0+lT9dts+wzy6/3O3v0syzL+9m9N+TJrbL5IMPPc/30kf/k3RKmy4dVozlHZU6aVAei851jjdQ0t62c8G4gxlt37i4YS930toC1jP90tXq0oSi6XkySJ57im9G85rbKq5RbQkYYP1kexcBZCCCGEEEJohjABjeZY85oNjH1++Jkfhqz28j150Hq6Dsdq1i5MYGipiUUjR/qGeJ9tpVPCcZzHHyCWmcudSPPlcjm3253NTh4Bmsvl2oQzXd5zarN38Vau1Ji+TMdj7o2XzuUDQMsQY+yu59K2Teuqlct3hL/65+O2rees9U78cbhzv7/0WShYALBm+CdlInFveN10wQIApIb6Aw99VmKlC9bYnX3sydui517rfBc0H2rWbu8bPSc6/HjxeigyqFQQo301r65u3kwpbZjF8QuFvPfw1+USq69awLV7X6MTt5DuXKvdbwFPjQquoiIG0OG6uGHzBZFZxIkQQgghhBBCmIBGc48QEt7xnq72w7H+X/JQroYvsaap8ItWtrqQr1tnMHUcKMdb0RoAsCxLge50+kTGkJaY/a3ruq7rB7iLBEmIWQci6i6bc1lPjWTPUdzeqU1o9WjvKLlc6sGu3MGukoOar79i48QfLdU+i+3QEd/Vtfw0f38ZY/2HnqrZ+/0ZHD/R/5DO3oLzSxYXISR45lt1du1QXzcAcByn+IKSJIkANguwVsKyrMGjj9UU7i/1AvfTdWOeMzz6sYb87QQYAFCoOPs8RuL8+rc3ePA9EyGEEEIIITRbmIBG86W6fo2RvKl3z+1x4/mprQN0jeZeF63btPCBoaVDFARuqM/0l66EOzoAAJIkUUrz+fyk+huTmKZpmuaId7NtAhoAxLafDibe6PN6RXH6stFoReofrWBRuHFveknI75uUhpt5brdTPqemafq3vp4DT9Xvn0n2GQCKOUe0FBBCIvHqOTzgYO/x6MDvaqHclRy02mKpgzM7fhfZFGcHBmLXJOo3Tt8bIYQQQgghhBzABDSaR7wgJLa/YbDv3GDHdyfOQQYAtzXAx161WIGhpaOmKtY2mqMlVt+ihgaEFPPFiqLk83nbKhwTqaqW4eIes3dqU3vgNZInXGDA8iazLGCMGTrkMwJYkXAYs9KrQTpnX6+gDJEjb3zF9kkbDeBmFkCHclFs7bnTjk3ubD/aONPsMwAM+zd5cfjzisMYy+37eXWJ8lY9ZF2CnUg6C5WsLjiJQb2w5TOJ6UboI4QQQgghhJBzuJo5mneRqiQ97XOHhIsnblRgNHD0a52texcrKrREEELCXMmcoBWMFf/DGMvn86ZpTpu5k0XONvs8QJrFyIlxiIRylBeoIHIuNxeqskKJfiYez5mHW9tm+jjQ8lATkSrd5Wc3vmTqVReu2TCDs7d5X1217rxpr+H+nq6Gp79YqlXj3NOeSG28qOLg0NI2ONAr7vlCmcUVxrPPpYyS5EGu3IWhgSu7/hMNp76Kx+wzQgghhBBCaE5hAhotBELIum0XGNv+dYTWv7gRoDl7e27PT3R95mO10Arg9/ms0QHbJiJI1gu1BIoFoAuFQpnkiNfraUn/yrZpOPmq8ok/wnGu6sZOFQ63tZtmxeNk0bKwbk2T884CB7/41NkuWZ7a5PWH0qR06ZgpdJAHm29ItuyYtmcmnUo+9m+lrtSutdce3/7RMU+LRUr+FhhUCjdudh4bWuJM0+zef3917w8nTSRyggHoIB9wXXXY9Wo/615n3leiG2n1XCmd/mmP1zfreBFCCCGEEEJoMkxAo4UjCGJox3t6kteroIxvDLIuz4Evde27H1N+q1lToopZJS6AWA1jzLIsRVE8Ho/L5SpzqZSqEd1Jt/KKx2EwrmR9j067evvKl5xGy9Qnr0w66XbBJt9vPnOB11NyuDF3ynszNFb+IAwgS8LHIm+ztn/K6/NPe1JVLfjuu7FU9jmvVGfddQAwuP5NA/WvLHWQwXP+BZcfXBl0Xevdv1PZ94VG45GKdmQAWQi1ea5Kr/14r/8Va/N/WpP/S6lrYphrNLf9a/OG02YfMEIIIYQQQgjZwlmWaKElq+ug+qbOA48m0/83/n24yXzE2vdYT+A14ZqNmDpZncJmfpja54hZrJYb6AQAQghjrPjv1G6iKGaz2R75nETh0UlNqdCZlXQTzzQAACAASURBVFVeIIQFq9oGRhoi/uLIa7RinLNjw5uHtF8+PFiqQ0DhvnTd5njVNAOcOY7ntn6gq79H6HuYZ3kOdM4qcEyjoBtEztNQIXJuIFojCELCWWCmafL3fJazSs4I6d74LjnTrXuSsaO3eUf22/dpfF00Fnd2QrR06Zo21vZgtfaE0/tmEzAg2fWfEARBGRmSD93qg4LN8UHKgV+GzGj1W+PJ2tkHjBBCCCGEEEJlYAIaLY6a9ecUCttH9/6+yjpQ3ELBqh69PTe6M1f/NidDBdEK4/P5sn19qs8+62eFk3Sou/h/RVEymczUPoIgSJJkaZMTixZQ0R+eQUiiP9iZ06oEJkmVpa9VVc1nxijHy4oH1zZcagghb7x028vPGP3NfYfufi41XuPFLdGXbfa+5tzmaCTo/DZYJJaA2BsmbeQBvADeCgMbfuK3SW3YtskCSsFqfurzDKBUZO2JS0PpA5Hue/Jrz3W5Z5C3REuCZVkjRx9MFB71wAxnYKjgppSOHPhrXN9Vqg8Pasa91bf+vDjeYEMIIYQQQgjNP0xAo0Ujy674jmuHB3rdx34ovjBES4ExV/utR+XLa9dsX9zw0MJLVFUdOd7FR+wGjFJqCRLRCsXhz16vN5PJSJJUKLw4uC+bzQbdtLrw8KRdTeDJTJMsVBD7TTOu64IgTNtZVVX9Hz/0pfZ7mDGe/7MIn/Kuyba8NobDDJeScDDwgavPeP/rmGVZlmVRSjmOW8R4NE1L9u4s1Tpe/Hdq9nkwsNnklejos/X995zY9MDnrMtuxpH7y1H38dba0duSYDMKvl8+I81Czepd0x7kEH/Rxn23xEEv1aGT3xHfdHkN3htDCCGEEEIILRRMQKNFForGWeTTh/c/vyb7u+IWAtBSuEPbvVPf8OEyy82hFam5Jnm0b5j3B23aAlGzt4OjYJomz/Mcx2ma5nK58vn8eBeDKFP3E0BTRwalYGTixmIpDychEY7rUY266fLPfT2d1U//x9QjUmYEUvsDz/wne8Zur+CZ2aqzapvXY+WZRUEI4ThucVPPRUO77ixZbbqEPS3Xb2z7SSS9b9J20UiNZNIenEeyrGiaxh/6biNL2bYe9F4b0XY3Ocg+M4Atxp9KtaYhLG/9YC2mnhFCaGEQANnlpCNjjPHTj3WYsINVOHTAad9CnogCcTmKhFAOSMVr3jpEKEccTyskkgw8QKlFYiZ1rujZAyC8wESbVabHFcv9vfD5fHl+SuckeOGBAAFS5lFwAsDyW42JAQPn08UqmVdW6etNS9SHtD00Yay4bFG5V2RGKCE8dXxM5z0rJ3JU4p0Ohekdylmm05eHmUzinEZOcDmnpQeze2jxEULWbtzK2JZjex+py99dHOsnQl7Y/8Xe+LtCUUcrhqGVgRDSXBVqS6tUsEmR0HgdZFN8LmVZVjGDPClvm85kjnjf2JL+9aQdfcOPqcFXTzpRfrBPNAqMMSCUACMcT/whItp8OqeC1No72BSPTG0qKhRyNU//xzQPzW5jfOQJGHkCDsCoe42x9a2+YHR5ZaIZYwNtx47/4H8Kt/3pxBKQhAhnnOq64pUtr7rM5a40p7p61XX+1Uk3VQgcj19UNfKkN9+5ue2Hpbrl2p/xnHLh3EWH5oaqavuOdB3vGdn53Njhrhdnb1x1duCD6+8rs+O69M8dnqLU24cK7rGat1cl8O8pQggtHItBPm8468uoajnPoTK10P72axx25txuwcWIswwcIda8plsJOM1uE7AIEMeJwzJVyuxQRsrn2Unxn2IaehmuS04m/afsk7Osvn2MsxjojhOXAEw3nV97ldEty7CcRlJQjZxuOjyL4ThmADBNpmpO+1vWfN1nAgBdMzXV6S2N7/1hd/9wfvp+AAAQZ6Qw6LSzWXD49osWDiag0VJBCGncfK6unzm4949R/TkCQAASvT/uMt4SSTQudnRo4RBCEgLrtSzbuhlM8UIhSxhTFEVVVY7jvF5vPp83TbN451k3yRHvm5rSt9EJM9BrrOf3920Wq066kMxCzqTAUVr8aKurBWFkgFTV2UYlBiMjo2PBgP2o0uG9Oyst+DtJIHsYHv1XjfMObnhHuH55LMXZ9sBDPTfcyNIn1+NmTH/iaf2Jp5/59OelSy/a+MXPKd5ZPjcILML3hU+XzHQota+l+/Zp+0uJ9QsQFXKCMZZKZ3b+o/XPjwz0j9mUxQh6uOvXTy4cVKkRkvSxPs5u+JIBQm/46tqmTeUGeiGEEJoPDJhWcm3hyX2NSnIlDFjBZo1ZWxbHAU8cDiVmJiViZaOJK8AsMJympZjBATgNGwAAKlmyxTLBLFmrCpbrmOeTMQMcPhCLwnKs3MYqWy5j/u4iWAwc55/BrKRzRRgD53lwa56CAAAAw2C64TTBreuWqjn9NTcI1XTH7yHL8M7RiocJaLS0CIJQte316dQlhcO3R6wjAJAc/EU6+M+Ss/lraGVwuVyhsbER0S5xSQgLJ8hgF7Os4tqAjDGO44oVb4tjohnhjvreGMs/6tePju+3IfXL/dJ7xcCLo5g9NY1mapjkMyC5QM0LgkA8gTJRjTHOrjIIAEBoxK6+RuVEM53Yc2vucFVq2wfC0ao5OeZ8ME3z2fd/WN05TdZM/dt9z977QMtdf6hqbFiIsJYzjfeKRnrq9pxcNeLfkBh6NDHyhPOjubylLlW0cLLZ3O/u3X/H44M5tdxH8K9fPSLYFX12yAKuJ/x6YWw3Z3RPbe12nZ/YeFEtFgRHCCGEEEIILSr8ToKWIq/PH93xjtGmf8pCkAAMtT+72BGhheb3+8NGtlQri1Qb3pCqqoZhEEIEQRBFked5VVWL84kYpX3yWZNueq4b+H62u33iFs4XolV1NBBl/qjljxC3r0xIvOLRSg1jmdPbq4raF3/is5mH/lstOJ1htJAYY0+97i3TZp9PMM0jl141Mjg4z0Ete0NnfXLSloHg9uHARpc+UD34EGUVjIrqqbtClHC062Jq7+i64av3v+EzD/7uwf7y2ecPXe6rJofLdCjQQKv7NaVaO7jT8hs+7ovUxYy9k5o66TZty2eqN78cl6NECCGEEEIILTocAY2WrmC4ioU+2t1xKB6tXexY0CLwer0snR7m7esIcy43L8lwojQbyeVyLpfL6/UyQoFZmbExjuOO+K5dk3qxdioFtiX7c+swd4Q/n9TsmFhmmpNdAMBK1P0Yl83lRbv1u4YC2719NsMPZyOY2sPu/WjHuvcn12wBgFRqbLC3mwG4FVcsWbeISaU93/uRsWd/BTtY1oHXvuWsB+9aFnVFFkskVtV/3r9H/v45ysyO+MWx0WeiqeemdisI/p711yWO/FLO99oex6ByaOtl8xwssmdZ1v2P7f3Wn7tU3dEtqZCHf3Xs/vJ9ZGu0KWuzqGAX3eJfc2mVeGK6cWf4WjL6PGdpOS6qMlfDuh21WIEdIYQQQgghtGRgAhotaYSQ6vp1AMAYU1V1scNBC83n9UIqPcTJhHJTW1m0mjFWOH7E7XIpigIAjDFNzYuK2+P1EgDLsg55r63L3ilbQ+N7UTDXGjvh2M5BqO2PXCYGIuOJ0fLZZyi9REdgwwXQd8fMHmO50wGrP/htOAgAEAYIjzfsAgDIyNXqjvd7A+GFTOzqmpa65dZK97K6e0f7+oLx+HyEtGIEownzqu8OP/jtuoGdpfrI+ljNwR8KWsq21SI0f/EXZRzxuuBM07z9nud+cndfRXv97PXPV/qrywCGaLO05rUR8aRKl9FkAyQbCCEJqZIKmAghhBBCCCG0IDABjZYHQogsy5ZllayBgFYon8/rNs1jo2lOsSkJTQhx1a0x0iNcIUsACCGSJIFpAICqqpqmeTyeI8JFXj5Xk/0bByctNhKB45HB75uD/CH5MqHmFCdpXHeJQYVuj3fId0o4tbuih5ZXagkzpXyv8wXBJ/IUujyP/IsqBIZPeW84uUALdXb/46mZ7djxpzuC771uboNZeTJjI5FRm4HPE5XKPjMgIy/9T58Ly+UvqEJB/d3du3/9wEClO37+Gq8EFdTYMUDolV8SbDzLy9t8ciOEiKKIkwwQQgghhBBCSxMmoNFyQimVZdk0TV0vt2wxWmE4jmsO+1u7e2kwZtuBeoPMG2TpEXVkUJblYhZGkiRJkjRNEwRhKMtnXa9TuEIyd59onbTUGwfGhsJfRo883Vf9el7xlAlDGxsWYqFSreLp7zR3fpJjFVyZeU/tSOw8oBzV0437Kx5WXCTpo/Fnbu47dlbgrLctQF2Okef3zGxHfVdl2fnVSdv9x5ntmJPj7MKbfCKOfl04hULhp3957k+PDU9togSCHn4obV+5O+oXvnLVUJI87fBEaRIbDV0STdRH7fLLmHpGCCGEEEIILX2YgEbLD8dxHMdhGnq1aUrGR8fGRqhMeMG+hzfIEaoD4bOjxVSsruuiKKqqWvy3wCAjXiaKIgGWyD84KG6Las+6jS4ACEB3oOsb+11XijWbSkbAyo1Tll3K0Fn/Gn3sX4njFQlD/Y+G+h9Nu+r6W9589JRPNu++2eGOU1UNP16455B6wWelpToBn29qWOwQljrGWHR4JgPMe6Lnhc56M641t2AKhcL3/7Drb0+N2LZ+7A0NzUn3B74+eVXAojecF3pny0MCTF9RKg+eYeV0d2KrS/HY33kDEEURX3eEEEIIIYTQ0ocJaLRcYRp6FQr4/T7LOtrdJ4SrbDvwHj8AgMdnGToM9QiCAADF4YHFzCxjjBASyu9yGf1J80GBnTQaekP+j9nDD3ZWv812KDQ17cczjguGo8Pn/Vfo4RsrGovozXd4dn9Rk0ulmJyS9WHzvo+PvuRzPn9wlocqd5Z4VXZGO/pOP3WOQ1mRmNO7F0V5KVo452MRX2CewkFT3fngnm/9+XipF0qR6C2/PWbbdN0rqi49Z12w7Wvl3x80kDvFl4Trt0mSHCk9rlmSJBz1jBBCCCGEEFouMAGNljeO4yillmVhGnqVoJSuqUn09w9kPaFy+RdegKo6izEGYPYdFzkCAAzAYEBDVQORV6ltf0qy/VP3c8PI2q5v7BGuUho2TtzOLLMmFpk2PJ8/qL/y2+a9n3VpFdSEJQBSod95/1I4Sws9fOPgOf8ZCIWn7z0jNRddMDR9LxvVZ50xx6GsOISQ7qoLavruc9LZ4OTjGz9Q3bjWg1nIhdLT2/e+rzxrmOVuEuRUm3kS77s8fvmFWymlo8P9tq8WA9LKn+uKbgiFI4TQ6rJhYOoZIYQQQgghtOxgAhote4SQ4mhoXKJw9YjFooyx1sExzuMr148QAsDH68ZzQvxgt9p3XEg0pBpfE2o9LkPGZieAU/Tb04cf6q55K+9yM9M089kav8Lbrf1lszul/CWf7+hoTe69lTcrWGRsThCA6KOfzl3yDWF+ygF7/H750pcV/razor0Cn/m4JMvzEc8KEz3j6pGH+wKje0rlF00qDYdOFba+zu3x1ixoaKuapulf+Mnj/zho83ZRBkfh3ZclX/2yLeP54kAo1mVcl0mnOVAtRmTFG4wkRFEEgGlfTaz1jBBCCCGEEFq+MAGNVo7iEoWYhl4lCCHN0UDfwEBW9FDHyVYrFBcp1YYHqFU4JF2yRf1DqZ5eGFrX+fXhhg+7PR5Qyqa57STqmljd1zq7j3sO3RbIHKx09/J6Qi9JDD9SpoP2yK3ChR+b25OO2/K1m58880KWdpqMky992aa3XztPwawwlFLP+f80mk7leg75Ou7hjRw1C7ro10V/ruo0V3Kj1+fHchsL7ODRzo99e7dVSXGUpoT8odc2r2mum9oUiSUisURFAWDqGSGEEEIIIbTcYQIarTTFNLRpmoZhsAoLqqJlpyoaZYx19w9onhBxsBhXsY8QDCdbf+KD6ateyK5ZjdutStZC8gbVMod72mnn44I6zAhnET6Y2sNb069CVkp8+JFB35ZI6vlSHQLZIx2dHYkam/zX7AmiuO3hv+162avYsP0ibBN53n/dlo/+03yEsYJ5vD6P9zRYe1rxRwlAArCpSo7m31/u3/3dv3Q67Cxw5PXnV11x/hqvd25eLo7jioXsEUIIIYQQQmhZwwQ0WpmKRTkYY5qmYRp6ZSOEVFfFTNPsGRzUXD4qiA52oV11b3V1/LcA5bLAefBQys0+Qkq5SHUTVDeNb7GY1d22J3bgh7w1k9H6BCCSej7lqvfl20v1qX7uy1bNrTMJ1wHF4znr8Z17fvar9Oe/VKoPbazf8KsfByLTF85GaGn6/d27fnxXj5OeZ2/wXnfF+ngsPFfjlHme5zgORz0jhBBCCCGEVgZMQKOVjBAiSRJjzDAM0zQXOxw0jziOq6mKMcZ03Tje00P8YSq5yvSngngo/u6Nvd8qleDJQgDWXc/PTwKIEBpt2mI1fqO9bV/N/u9xbCZpaF++XedcQoky0xzTO1oP1DStn12kJVFKt7z9Lda1b+w9dHjg0cfzv/+zeaSNJqqEbVs8V76y4cwzJJcL02do+RoeGSuffZZ48r5XJc7Y2uTzuqmD6RcOCYJAKcXfHYQQQgghhNBKgglotPIRQgRBEATBMAzDMBY7HDSPCCGiKDTXnyg90d3drfpjpUpz8G7fc/KbthV+VfyRATCgDLgubhsX3hyJJRcg2mTTJqvpm5phdBw9EOu9z5s9SpkFzCLAAAgjlLJyV6xg5hlAqUxV9aEfscYvzWsmi3JccsP65Ib1cN075u8sCC08VZ18W4gS4Dly7mbflefVNDXUzvlvliiKc5jIRgitWoyxvr6+wcFBxlg4HI7FYg5XUUYIIYQQ+v/s3Xl8lOW9///rnn0mM1kJISEJhE1wQ+wBkYIbVdxQVCjua+n39Nu6nFO3ih6rPUdR69aj/tSieEQtlkpbRLG1ispSoUJFCrJDNiD7MpNZ7+X7x1Xu35xJCBnIZLK8nn/kcc8919xz3bNl5n1f9+dKHb6OYACx2Ww2m03TtFgslu6+oCcUFRUZhrG/+qDIHawoHSQ77qHDv629oaSoUFEU8+dZQc92Ughhs9lGnHCyOOFkQ4iEgfrGB7dbjSO+XGOO7IaCs4dU/rHDax2q/0DNgfwhQ7u1s8CAUDgkf8XTF7b6/eFwNMPjcjqdKSrHzByDALqR3+9//PHH9+/fHwwGhRButzs/P/8//uM/BlERCwAApBVjbTDgWK1Wl8vlcBy9UjD6AUVRyoqLSp2KraVOj3ZQ8VnJH+r3B3rt4CDN2tksiPZoc1bNmk4aWGs2d3ePgIFCUZSszMyCwYO8Xm8q0mc5Za7T6SR9BtAt/H7/L37xi3/84x+5ubmXXHLJJZdcMmzYsP379z/00EOBQCDdvQMAAANaL81cgFSTv/wpDz1AWK3W4iEFQojm5pa6tpDVm2VxOOVViqK0OH3uUNjt7izqTZeWnPH5dUeMmMvzvzes7i+d3FxRwynoFIDjwhyDALqdYRiLFi3avn17QUHBs88+Kw+bqar64IMPbtu27ec///lTTz3Fxw4AAEgXRkBjQJPloVN3bjV6m+zsrNFDh4zIchfb9Xw9bG2u0xsOKi11wVDHU/mlnevUq4wjX9t5+iyEMBy+7u0PgOPhdDpdLpfNZiMGAtC9wuHwt99+a7fb58+fb36ttdls999/v81m27lzZ3V1dXp7CAAABjICaEAoikJdjoHGZrNlZHhKCgtGFA8dXlSYl5vTA3eq63qyN3G53XvLbjnme9R8KZ9KEcBRWa1WGT2TOwNIkUAgUF1dXVRUVFDwvyazyM7O/pd/+RchxI4dO9LUNQAAAAJoII6sy+FyuSwW3hroKsMwDKOTYcr/v7q6usrKymSH25eedEZd1unH0jEhMgtHHcMNAXQXm83mcrnsdjvRM4CUqqqqEkL4fD6n05lw1YgRI4QQDQ0NaegWAACAEIIa0ECH5FBoTdNisVi6+4LezjCMqqqqnJycaDSal5fXSUs5KOkYXlRZU+dVffNxceWypG51cOhl+e1+hQLoAYqitM+AACB1Dhw4IITo8HBXRkaGEKK1tbXDGy5btqz9GVptbW0+ny/UWwuUSebh/0gk0mMH+VRV7Xpjw0ji1Lcujmb4Z2ORRGMhDEMk9QAltfGkOpK6GyT3kBiG0fUHRNeTaGzoejJb1rs+6MkwkthyUjtoCEMRqXoHJdeTJBsn0Q09mcZJvhtFEs2NpN4GqfxYSKGkepLUPurJfKiqMbUr/8XMT/VYLJZUZ3pYOBwWST5cvRABNHBEVqvVarUyUSGORFVVm81msVhKS0tTekeKohSMv6Bx+CTbV/9fZqi8KzeJ2nyDTrsopb0C0J7NZrPZ+HIFoKc1NzcLIdxud/soVn4oHel3+JNPPtk+VC0qKho0aFBbW1sKetr9gsFgj91XNJlhBLqWRFaiJ5U0Jdc4yeQ3hflGkiFxMrm5IVIYdCaVKVuTadz1ADrJtNpI5UGZ5F6ryT16XW6dVG3DlB4NSlnr5Bon2To5SXY7VZlyUk96JBpJ6r9YJBKJRCJdb9/DCKCBAUFOVGi32zVNU1W1r7/n0V0OHjwYi8WysrKysrJ65h59Wdli+s8OVe70bv+NN3Kwk5Y1OWdkTb7Ryin/QE+xWCzycFS6OwJggJKfPx2Oz5XfXSkE1C0G/+DmvOvmdrGxIpSujwRUkn2GlK7/JElu0yl8qShCS2LbippUR5LcxyQfvq42N5J6+JLZshBJDlNO3fNosXQ9j0zqoU6qz4piy1aTiBdzurxtwyqK3F3fsDDcXe+2omc5k3g5JRNYG0mlk0bSQ8hTNoY8qVMdjK4PZne7SDt7HZ4SoKsYEA0hhGEYlZWVQgiHw1FSUtLzP+fySsaIkodDaqzpwD5H+ae5rVssxj9fjUFH/qH8s/PHTslxdTAACkAq2O12q7Xro50AICXy8/OFEJFIxDASEzBZ+8vn83V4w4cffrj9mLJ3333XZrN5vd7UdLZ7tLW1yZDD4/H03PG/FDwmhmG0tbU5HI6+Ph16NBqNRqNCCLfb3df/M4bDYV3XPR5PujtyvAKBgDg8I0W6+3JcdF0PBoM9+mZPjWAwKD9yMzIy+vTvNcMwgsGg3W7vNx9cTqcz2bmaepI8malPv2YEATSQLHNAtGEY0WiUAdEDSiwWa2trKy0traioGDx4sPkPQNO0mpoaVVW9Xm9OTk4P/GOw2ez5pWNE6RhNCPNgiF2IklTfMQAhhBAWi6Wvf+EG0J8UFxcLIaLRqKZpCYWAGhsbhRCZmZkd3vCiizoo2PX+++9brdbenFjJ7EN+D3c6nX067tR1va2tzW639+YHvCt0XZc5Tj/IpORhm77+jIjDAbTFYunr+6JpWjAY7OtvdsMw5LENIYTT6ezTYbqu66FQqJf/p+gKc2RhL/8Q7h8nMxFAA8fInGNKVdWkJiRB32W327Ozs4UQpaWluq7LGtDl5eW6rlutVkVRAoFARkYGk48B/ZjT6ezrX/4A9D9DhgxxOp0NDQ2hUCh+sLNhGFu2bBFCFBYWpq93AABgoOvDh1yAXkKe0+RwOPr08Vh0na7rFRUVgUDgwIED+/fvDwQC8qmXsxGSPgP9khzi4XK5SJ8B9EIZGRllZWW1tbV79uyJX7979+7du3cLIU4++eQ0dQ0AAIAAGugmFotFnrXhcDiIJ/oxwzCqqqrE4Xl+2tra5Dgji8Uig+k09w9At7JarU6n0+Vy9eaqcABgs9kuuOACIcTjjz++du1aTdM0TfvHP/7x+OOPCyFuueWWXl7QGQAA9G+U4AC6mcVikWNgzTpo6Gd8Pp/f7w8EAoFAwOPxDBo0yO1m0j/0OoZhGIaR3upyNputj1YoslgsNputT9fmAzCgKIryve99r6qq6g9/+MMTTzwRv37atGmzZs1KY98AAAAIoIFUkbM9GIah67qcyAL9QCQSyc7OjkajgUDAMAyr1SqrP6e7X4AQQtTU1EQikdLSUiFEZWVlfn6+2+1OS0/kuSCRSCQt937M5DSziqLwpgbQF1133XXjx49ftWrV+vXrDcM47bTTzjnnnNNPP53PNAAAkF4E0EBqKYoiM0ohRCwWM2dZRd918OBBc1yk3+9XFCUvL6+hoaGkpCS9HcOxkUeJmpubg8GgnJZaUZSioiKbrXf9i2xqatI0bdCgQfJiOBw2Z8OTu2AYhjzWVV5ebrfbi4uL2w/glW3k+H3DMBRFkWn1MZMzMhuH2Ww2+YkXi8XkVX2F3W6njj+Avs5ut0+YMGHChAnp7ggAAMD/0rt+XQP9m91ut9vthmGoqkoS3UcpipKZmdnY2CiHdvp8PsMw6uvrFUWRcV66O4jkHDp0KBwOR6PRhNMUqqur8/PzPR5Pz3RDBt9mXmy323Vdlx8UqqrKShqZmZmyq7qut7W1hUIhj8cTDAazs7Obm5s1TQuHw/H1LkKhkNPpzM7OlnU/NU1ra2trbGwMh8Pm5092dra8rw4/keSHldVqjUQiLS0tmqYNHTpU9ratrU0G4mYAbXZb0zRZLnnw4MEulytFj1ggEGhsbCwpKTnONx25MwAAAACkGgE00NPkKd4k0X1UTU2NXLBarTLss1qtLpcrLy8vrf1CEgzDqKys9Hq9LpdLRrfx1yqK4vF4eqz4r6qqFoulqqpKzmMp4sYUywxaNhBC2Gy2aDRqtVp1Xdd13Wq1BoNBIURra2uHY43D4bAMrJubm1VVjcViZlV6i8Ui59az2WxyqLKu64FAQAiRkZHR2toaCATkveu6brFYYrGYy+XKzc1tbW1tbm6OxWKRSKT9nYbDYXNBUZRgMOhwOMwx0VarNT8/v1setNra2lgsdsxjt+WJKb1thDsAAAAA9Ff8+gLShiS6L1IURY4Jdbvdfr9fCFFUVMTA5z6hsbExEAgUFBSEQiEhRG1trc1ma/++y8jIkGOEQ6FQdna2rutOp9Pn81kslmAwKI83HOczbrPZdF2vra1ta2uTQ+kNwzBHxoT9JAAAIABJREFUE7cnOyn/mmOcNU3ryodGKBSS+2vuncVikZ854XA4FAo1NTXJgd7yU+hImw2HwwcPHpSFPrqyj3KPQqGQzWZzOp0OhyMnJ0eeKNCVm3eyO42NjRaLRY7FThbjnQEAAACg5xFAA+kXn0TLM+7T3SMcUXFxcXNzs81ma2pq8nq9gUCgurq6qKioxwbMous0TWttbQ0Gg5qm6boeDoftdntNTU04HJYFNzpMWuVAYCFELBarq6sTQiiKUlNToyiKbG+z2WSOKZNcwzCOOhRXVVW/3y97omlaNBqVb/Zu3uEuaGtra79SHkrpnBydnRS32y0jfsMwnE6ny+U6/g83h8OR7CEfRVFsNpvFYuFAEQAAAACkBQE00IvIoESeGC5PvU93j5BIUZScnBwhhM/nE0JUVla2trZqmpaZmZmTk3Pw4MEhQ4aY88IReKVIJ4+tHGBbX18fDAZDoVBCyCsLJR/D3cVvJxaLmQWjMzIyOkmfNU2rrq7WdT0YDPatGfm6hRx57fP5MjIyAoFAc3OzEKK0tNQwjHA4XFdXdww1NJIav2xO0ggAAAAASCMCaKCXMpNoTdMSpkfDsamsrCwpKTnOjRiGceDAAVVVCwoKXC5XSUlJRUVFIBCIRCLNzc2Kohw4cKCoqCgajTY0NBQVFXVLz2EyDKOqqkrXdUVRRowYEX+QRj41sjxxDxy8sdvtmZmZBQUF7SNOwzBisdjBgwej0ahZdnnA8vv9fr/f4XDY7XZFUcrLy+Wcisf/ZuyQoigOh4PcGQAAAAB6DwJooLeTk3cJIXRdl9OFpbtHfVV3BV6yikJ5ebk596DX6/X7/fI4gaIocqY4h8PRLXeHePLhjUajLpfLYrHY7XY5S14kEjlw4EBLS0sP9MHpdDqdzqysrMzMzPj1mqa1tLQEAgFVVaPRKFXd4yVk8RkZGRUVFYMHD3a73d2yfTmpILkzAAAAAPRCBNBAn2GxWJxOpzhcEIACHT1Mjml1OBz5+fnBYLCtrS0YDFZWVmZkZBiGYbVaZeBoGEYwGBRCeDye+vr6WCxWWFiY7r6nSiQS6eJo07a2No/HI+PjQ4cOZWVlZWVldXHLdrtdCKEoSigUqq6uljU0IpHI1q1b5VXZ2dlNTU3yYU8di8XicrmEEJmZmfLAg6qqDQ0NkUhEFoOORCJyRkF0hdfrlY/nMaO4MwAAAAD0CQTQQN9jloo2DEPXdVVVGRbdA+x2e2FhoaZpTqfTYrHk5uY2NzfL2dsURfF4PLqux8/wFgwGY7GY2+1ubW01DKPzvLU38/v9kUhk0KBBsvxFdna2rH8thKirqxs6dGh9fb3X662trS0tLY3FYsFgMBAIyBen1+vNzc1tbW1tbGyUQaFcLx+cYDA4evRowzDKy8uFEIWFhQcOHBg2bFhbW1tNTU1ZWZkQ4tChQ6FQSB50iUQi5lR45mx+QogeqLnhcrlk2C3LFldVVVksllAodAwVpQcyi8XidrvljJ2GYYRCIbfbnWx8bLFYZO6cmj4CAAAAALoZATTQhymKIgt0yABaVVXO+k8pu91us9kqKyvlxZKSEq/X29raGggEhBCqqvp8vvgYWs5WJ58dv99fXFycrp4nq7q6urCw0GKxVFRUyDVyLwzDaGpq8ng8siyMTJ9DoZAcfbx79+5oNBp/OMTv97e0tITDYTM4luRD5PV6d+/ebRhGIBDweDz79u1TVXXfvn12u91isezdu7f9LIId6oGzAWR6XlxcHAwG5QyHvNeSoiiK1+sVQsiDE4qi+P1+p9PpcDi6OBWhfFUw2BkAAAAA+hwCaKA/MCsVyEGazFt4JDL5Op4tKIpSUlIiN1JTUxOJRORAThlHRiIRr9fr8/lkyiZvIkdJe73eWCwmn6DeTCbOuq7v3Llz0KBBVqu1ubnZ6/WaSbQQoqqqymazyUrHR51kr5PKGDK4l8zUvrfN2uf1et1ud35+vqZpFRUVXczEkcAwDPlGMC/KwxgjR47s5MNKlvkmdAaAntfLv0wahqGqqjy8HYvFEo5z9y3ydMZYLCanH++7YrGYHBMQi8X6+v9u+aLqzW+BLpLPiMVi6ev7IutP9vU3u/zgkk+Kqqp9+m0iP7isVmtff2mZH1zyBZbu7hxRb+5b1/Xtf3IAOmTOW2h+Ox/gNToOHjxofmSbGXROTo7D4ZBltZNiflew2+2RSETW33A6nZFIJBqNBoNBu92el5cXiUTiY+hwOHzw4MGMjIycnJxeWz0gFovl5OS0tbU1NTXpul5XVyf7H58US2bN634sIyPDZrMNHjz40KFD5eXl0Wi0f/zjTyOLxeJwOORYZvleaP+QyhJD8hMMAJAuq1atOvPMM9PdCwAA0E8oAzyWAgYOXddl2dx0dyQ9QqGQHGMrSwnLlYZhyETM7XZnZWUZhtHY2Giz2TIzM2WOfKQByzabTdd1i8UiC3DLI9gHDhyQ14bDYZfLVVpaWlVV1dLSknBbn8+Xl5eXkZGRsn1NWlVV1dChQ4UQmqb5/f5AINDa2pruTqWT2+222WyKosjxX71tUHbfIg/zGIbhdDq9Xq8sxJHArCbUp0eCAEC/sW/fvlRP7XucNE17+umnW1tb7Xb77bffnpubm+4eHTs5PYaiKL12gEIXff755x9//LGiKDfeeOPo0aPT3Z3jIofv9IPD4Y888kgsFhs/fvycOXPS3ZfjIt8mfb0am6Zpr732mjyvdP78+W63O909Onb95oPro48+WrNmjRBizpw548ePT3d3jmL48OG9KkZIFiOggYHCYrHI89lFHwyj5b+34/nCUVdXZy7Hb8pms9ntdofDUVNTY7fbPR5PbW1tc3OzECIcDrvd7tzcXBmNWSwW82tobW1tMBj0er15eXmapjU1NYXDYdksLy9PbratrU2O9Ew4U8zv92uaJlv2kv8fBQUF9fX1qqqGw+H29ZoHFDnZoCxLzQHaYyAfQHkim9VqdTgcmZmZHb7OZegsP5d6vJsAgM7IeYB7s1gsVldXV1tb63Q6R4wYIY+jI72++uqryspKRVEKCgpOOumkdHcHQghRXV0diUROOukknpHeIBaL+f1+OZ/QmDFjMjMz090jiL/85S/yGcnJyeFtkmoE0MBAZIbRhmEYhtHLw2jDMGpqauSp+larNScnR1GU1tZWh8NhtVrtdrvL5RJxlTE6VFpaqqqqrFwci8Xq6+tlvBiJRMLhcE1NjWymKIoZdsvRr36/XyZlhmG4XC6ZMns8Hl3Xm5qaGhoazFHSiqJEo9GmpqZgMBiNRuXg6A47E4lEPB5PS0tLGgPoQ4cODRkyRC7Lgc+hUChdnek9otGorOud7o70DfLgjZkgy/eXEMLj8RQUFHT4lrRarbLGZZ8ewAIAAAAA6DoCaGBAk0lrfBgdi8V6W/qmKEphYaEQQnasrq4uHA4LIWQlDU3T5C5kZmZmZ2dXVFS4XC7ZQAhRXFzc2toaCoVycnJkTm2z2Ww2m1wv62OYk9iY4h8B+bDIBmYp5MbGRnNos3lfck38TGtHIgNfn89XUVFRXFzc8yNAq6qqdF1vbGyUp6y6XK6MjAyHwxEKhQZ4uYmBPPq761wul81mczqdLpcrKytLHC1NljWdSZwBAAAAYGAigAbwTzKMNiflk2F02vM4wzCqqqrMRNjr9TocDjPzFULIWr2KooRCoVAoZBhGc3OzLBCmKMquXbtcLpfP56utrRVCWK3WoqIieVVWVpbMzgzDqKurk1MSd73wQvtHJtnHKhKJOJ3Oqqqq0tLSpG54/IqLi4UQ5rjv8vLyQCBgDl8FTPIzQQ7zlyVoMjIysrOzj3orajoDAAAAACQCaAAdUxTF4XCYF1VV1TStBwZHq6oqK4TIWhl1dXWaplksFjn6WI4vVpQkJlANBALBYFCW1JDblzeXGZndbg+FQjI7VhTFnCFNVgFOyR4eFovFnE6nmfj3vIKCgmg0Gg6H5ahn0mcIIRwOh81mk+9Bp9OZmZkpTx04KnkTWV4DAAAAAAATPxQBdImsXCEOl6RoX7aiu8RisZaWFhmJhsNheb8JWXCyOXh8V1MdK3edfBh7cvYJwzDa2tr8fr8stKLrejQaVRSF6BnyYIzdblcUZfDgwV05LiJL38iJBHughwAAAACAPooAGkByZP0KOThaBsG6rncy4V6y3G63y+WSc9GaQy+TGvLcC8k6ITLzlQm+1+v1er3Z2dmyrEGqqap64MCBWCwWjUbTXlYFvYRMnK1Wq9vt9vl8TqfzqBUzzMSZ2hoAgDSyWCxXXnmlLCBmnr6G9DrppJOuv/56RVGKiorS3Rf80zXXXKOq6tixY9PdEQghhMVimTFjxqmnniqEiD/VGGl0+umny5yhrKws3X3p//p2pgOgV5HRqqZpstjFMYhGo42NjYqiyFnL/H5/+/kAo9FoLBbrpi73ELvd7nK5rFZrQUGBruuapum6npGR0QN3rWlaY2Nja2trfOFsDGQZGRmKomRnZ3s8HnlopPP2TCEIAAAAADgeBNAAUkjmxUl9zhiGUVtbKwfqyqDZzMjMCExusPcU0+gKq9WqaZrD4TAPdzudzoKCguPJ9WQRDxkOdrgdVVX3798fiUSO+S7QP8hDIAkrfT5fTk5O+8ZWq7UrwTQAAAAAAF1BCQ4AKaQoSnwxWTk4Wg5k7uQmBQUFctkwjObm5nA4LEt8yBIWuq73rcG8Xq+3wywvFoupqmq32+NXtrW1ud3uLhbVraioCAaDsnqvxWLJzc31+XzxDSKRSJ8bLY7ukpGREf9Cstvtubm57Ys7y9k4GeMMAAAAAEgRRkADSA+zXocsi9x544qKCiFERkaG0+m0Wq2tra2RSETWsjCz6c5z7bRzOp1yhjchhGEYMmdPSANramoaGxszMjJKS0u7ss1Dhw41NzfLgidWq9Xj8bhcrvz8fBk7WiyWWCx24MABmeDLZn29mjYSyJkAbTab+eqSy6FQyO125+XltT+YYYmTji4DAAAAAAYWkggAvYUc4Cwj6Q4bRCKRQCDQ1tZmrrHZbDJ9czgcFoslEonIsFUOlJYDrnvbnHsWi8VutyfMOyGLIQSDwbq6OiGE1WrVdd3tdtvt9qysLHNoqq7rCaFhQ0NDa2trMBg017hcLq/Xa44iV1W1pqZG0zQ5xVw0GlVVNRaLydy/K+k/ehU54F1WyfB4PPKQTCfzB8qEWmKMMwAAAACg5xFAA+iljjpE2pzwUIaqXq/Xbrf7/f6mpibZoKioSNO0UCjU2tqq63p8ct2rmHUzbDZbTk6O0+nUNM1ut8disZaWlmAwaLfbCwoKVFU9dOiQEMJutxcWFsqbtLS0tLS0+P3++A06nU632z106NCEOzIMIxwOy4zbYrGY0Xw0GqVOdO9kt9vlURZZ5tvn82VkZMg1R7qJ1WqV7RngDADol3Rd37x586ZNmyKRyAknnDBp0qSEEmRIhUAgUF5evn///gMHDoRCoby8vJNOOunEE09MGFQh7dq1a8WKFe3XK4oya9as4cOHp7y7A4Cu688//3yHVxUWFl599dUd3mTbtm2bNm3y+/0jR46cOHFiXl5eirs5gBiG8dxzz3XSYOTIkZdddplc7uTpGzx48HXXXdf9/evvNE1rbGysqKjYuXNnTU2NoihXXXVVcXFxJzcJh8Pr16/ftm2b1WqdMGHCd77znSP9gDIMY9euXRs3bqyvrx8+fPjEiROPczKngYka0AB6KZm4xf8PMOtsyLrGiqLYbDabzRZfyMLn88X/CJHXZmVlCSGCwaDf7zeTVplN99DOdCo+Pm5ubvZ4PBaLxePxaJome5uVlVVTUyP3WobIFRUVskxHZmZmS0uLvIncQmZmZnZ2dsJdNDY2ZmdnV1VVCSFUVe0lO44O2e12+ZKWJdQHDx4s4mbgbM/hcCTM0gkAQH914MCBJ554Yt++ffLiRx995HQ6//3f/33SpElWqzW9fevHAoHAtdde2359YWHhHXfcMW7cuITUpq6ubtWqVe3bK4oybdo0AuhuYRhGhw+yEGLUqFHtA+impqZnnnlm8+bN5hq73f7jH/942rRpCXPS4Jgd6RmR5G9SqZOnr6ysjAA6WYZhXHHFFfFrLBbLeeed10kA/dVXXy1YsCAajcqLK1asyM3N/fnPf97+A6q1tfXVV1/94osvzDWvv/76LbfcMmPGjPbz66ATBNAA+gwZSQshEn5gmAUlOryVpmnV1dUJG5FVmJ1OZywW61XFow3DkCO141Npv98veytninM4HHa7vampKTs7W1GUoxaMrqio8Pv9NTU1va0aCcTh4ygul0vWZsnKynK5XEdqLEc38wMbADAwNTU13X///c3NzePGjbvpppvsdvvf//73d95555e//OWjjz560kknpbuD/VxBQcGVV15ZVlbmdDqbm5vffPPNPXv2PPLII4899tioUaPat58+ffrll1+esFIeWUc3+uUvf5kwDr39sPRAIHDfffcdOnSoqKjoX//1X71e77fffrto0aLnn39eUZRzzz23B/vbn/3qV79qv7K2tvaXv/xlNBqdO3du+2vbP30cDzg2ubm53/nOd8aNGzd06NAXXnghPgFor7y8/Mknn4zFYpdffvlZZ52ladrvfve7DRs2PPjggy+++GL8oYJIJPLEE09s2bLF5/PdddddeXl5u3btevXVVxcuXBgOh7///e+nfs/6DwJoAH1e+3/SsjSHEELXdavV2mFEW19fH4vF5LBil8ulqqqcqU/G2fLmvYcc+Gxe9Hq94XDY5XLpuh4Oh82z5wzDOHjwoNwFIYSc6tDj8QQCAdLn3sBmswkhZIhstVodDofH48nMzGw/eNkMmombAQCQli9f3tzc/J3vfGf+/PnyX+qoUaNsNtsbb7zx9NNPv/zyyx2Wg8Dxs9vtTzzxxLhx4+JXnnbaaQsWLPjrX//69ttvP/zww+1vlZWVxWDnHjB8+PCjvvLXrFlz6NChE0444bHHHpM/nUaNGuXz+Z555plFixZNmTKFgZzHT1GUDl/w+/btC4fDkyZNysjIaH/tsGHDePCPn6Iob7zxhnmxkwE9QohIJPLII4+Ew+E5c+Zcd9118gSO++6774knntiwYcMrr7xy9913m2d1fPvtt1u3bh06dOgzzzzjdruFECNGjBgyZMgjjzzyhz/8YebMmXIluoICkQD6IRntORwO12FOpzO+nG5zc3MwGFRV1e12Z2ZmOhyOrKwst9stqzBnZWXl5eX5fD6Px9M7yxoEAgG/379v377y8vKGhoaKior6+nqZngcCgUAgEAwGg8FgW1ubbNB7hngPTHLcus/nc7vdubm5gwcPHjFixLBhwwoLC3NycuSMgk6n0+l0mq9Yh8MhQ+p09x0AgN5i/fr1Vqv1qquukumzEEJRlCuuuMLlctXX18fXFkD3cjqdCemzEEJRFDnAeePGjaqqpqNf6KqPP/5YCHHhhRfGD9w5++yzPR5Pc3PzmjVr0te1/u/9998XQowfPz7dHcE/7dmzR55MfMMNN5hBs91uv/POO61W644dO+LPRX7vvfd0XZ86dWp80Hzqqafm5eUFAoGVK1f2dO/7MgJoAAOCoigy5nM4HE6nc8iQIWPGjBk9enRhYWFWVpYMmi0Wi8ViCYVCsVhMVoOyWq1erzehrnTvYVbElhU2du3aVV1dnXC8V9M0fhKki8PhkK+f4cOHDx06dPjw4WVlZUOHDs3Pz48Pmh0Oh81mMyvMAACA9tra2qqqqrxeb0lJSfx6RVFmzpwphPjmm2/S1LWBS37t5DtMLxcMBnfv3i2EOOWUU+LXK4py/fXXCyHWrVvHaJUU2b17t3zwzzrrrHT3Bf9UVVWladrEiRMT1rtcrhEjRjQ0NDQ3N8s14XBY/meZNm1afEtFUW688UYhxMcff8x5xl1HCQ4AA5qcxjDhxBn5DcwwjPLyclmjw2KxZGdny7oc5rX6YZqm9YZ/PJqmBYPBdPdiwJGHLmR5bvlXHK7sPGzYMHMNAAA4HpWVlUIIm83m9XoTrho5cqQQoqWlJQ3dGtj+9re/CSEmTJjQ4Tlbmzdvvvfee/ft25ebmztx4sSzzjpr5MiRnN3V7V588cVNmzbFYrGxY8eeffbZp556am5ubvz3z5qaGvn7JTc3N+G2snK63+/XNM08sQDdxTCMZcuWCSEuvfTS+LLC8V5++eW///3voVBozJgxZ5111oQJE/Ly8vj5kFL19fVCiPz8/IT1Vqs1Oztb1/XGxsZhw4YJIRobG+V7Z8iQIQmN5XsnEAhEo9HOK37AxEcMACQyM8SysjJzpaqqbW1tsrqFEMIwjIT5vuMHDsgtRKPRSCTSQ51Gd7D8b/G/kcwvghaLRY6jN//yUwoAgFSTM0rJ+XgTrpKVVeU0zugxsVjso48+cjgcR5qGa8+ePXLh4MGDy5cvX7ly5ahRox566KH2hxBwPFatWiUXNm3atGnTptzc3DvuuOP00083G9TW1oq4+UXiybM8I5GIqqoE0N1Ojj232+2XXnrpkdp88skncmHz5s2bN2/Oysr613/91+9+97s91ceBqKGhQXQ0j5SiKHKlfMsIIRobG+PXx5PvHU3T5MxMqe5z/8BHDAB0ic1my8rK6vDYtWEYkUgkFArJ8h1yCkTDMKxWq9PplEOkZbmMnu/2AGSeByrHJsuByfLHqvnXrLgiv0/Y7XaHwyEX+PINAEAvJPPlDufnkLEaNcd6UnNz8yOPPNLQ0HDxxRePHTs24drS0tJHH3105MiR8thAa2vrxx9/vHLlym+//Xbx4sU/+tGP0tHl/kZRlFtvvXXixImDBw+22Wyqqu7fv3/JkiV/+9vfHnnkkaeffnrUqFGyZSgUEp2+d3Rd53dKKuzdu/fQoUNjxowZNGhQwlWyhsMZZ5xRUFBgt9tVVa2qqlqyZMlf//rXJ554YsGCBSeeeGJa+jwQyCFi7TNlcXjIUTgcjm/pdrvbv3fM34zyJGl0BT+zAeB4KYoi6/nm5OS0v1bX9UgkEolEotGoqqqyKLOs2mHW8ZAL5l++AkpKR8z4WH4PkOGyNY7tf+MUNgAA+gGHwyHicoF4shIaJyT1GMMwnnvuuT179lx44YU//OEP249JLy4uLi4uNi9mZ2fPnj179OjR//Ef//HRRx9dffXVHX5nRlIsFsusWbPMi3a7fdSoUQ888MATTzzx5Zdfrlix4q677pJXyaSsw/eO/NHBt+UUeeGFF4QQkyZNap91WiyW2bNnmxftdntZWdm999773HPPff7550uXLn3ooYfav7PQLTo5ZinfEebzJd87HZ7TbFbg5GnqOgJoAEgti8XidrsTykwnMAxDjptWD4sdpqqqcZg4PPFgfFQdf21vFh8fxyfI8n+2uTIhPo5PluWY5XTvBwAASIOioiIhhKqquq4nfB8wB3imp2cDTGtr67PPPrtp06bzzz//5ptv7uJ3M0VRTjnlFJ/P5/f7N27c+L3vfS/V/RyA5Gl/l19++YYNG6qqqsz1gwcPFkLIETAJx2kCgYAQwul0cgpgt9u9e/fBgwdtNttFF13UxYjfarXOnTt3zZo1tbW1VBZOHVkMXU71FM8wDJlKm+Wh5aEy+SM94T0iT8qRZzz3QJ/7Bz5lACD95Jx1NputK//AEoZLyxIfsVjMnBFRxtnyrzlTYsIWOlzu8Kr28beIGy5hlksWcbWzxeFAOb60hd1ulyFyfAzNgAsAANAVJSUlQghVVUOhkCzsYJJZG5WFU80wjFAo9Mtf/vLrr78+55xzfvKTnyT1Rc5qtQ4fPnzLli1mfVWkgtfrdTgc8SXRzfnTWltbE8ae79u3Twjhcrk4gaDbffHFF0KICy64QBYL7iI5bikUCvWGKe77K5kvNzc3J6zXdV0eksnLy5NrzIWGhoaCgoL4xnv37hVC2O12AuiuI4AGgD5Gjm5I3faPNJj6SOvN3x6kyQAAIEWys7MHDRrU2tp64MCB0aNHm+sNw/jzn/8shGhfiRjdS1XVxx577Jtvvrn00ktvuOGGZL/4qaq6Y8cOcfhYAlKkpaUlEonEz1vj8/mGDh1aXV29Y8eOyZMnm+sNw1i6dKkQYsKECZxl2O2++uorq9U6ZcqUpG4VCATa2toGDRrEIYHUKSoqslgsmzdvTlgfiUTKy8uzs7Ozs7PlGo/HM3LkyD179mzYsGHmzJlmS8Mwfvvb3wohpkyZwjPVdXzKAAD+lw4rL8cPdk7AWGYAAJBqiqJMnDgxGo1+9tln5thAwzC+/PLLgwcPut3uSZMmpbeH/VtjY+MDDzzwzTffnHPOOTfddFPnxeU69MUXX0SjUYfDMX78+FT0EEKIlpaW3/zmN4ZhlJaWmisVRZE1T7744ov4CdO2bt1aUVHhdDrPP//8NPS1X9u+fXtVVVVmZqY5FWRX+P3+1157zTCMoqKiDqfIQ7cYPXp0RkZGVVXVmjVrzCFWmqb94Q9/aGtrKysrM4/fKIoye/ZsRVHWrl0bX7KjvLx8165dDocjvpA3jooAGgAAAADQ21166aVCiBUrVjz//POhUEhV1Q0bNjz//PNCiJ/85CfUgE4dXdcff/zxHTt2XHLJJXfccUfnp5wHg8E33nhj//79cuYuwzAaGxufeeaZF198UQgxe/bszMzMHup3v/bZZ5+tXbu2ublZHo+JxWJff/31Pffcs3XrViHE97///fjGZ599tt1uX7t27SOPPNLS0qLr+pYtWxYsWCCEmDt3blI1InBUhmE8++yzQoiLLrroSIdq1q9f/8UXXzQ2NspDAqqqbtu27b777vv666+FELfccgtj0lPH4/H827/9mxDiueee+/jjj1VVjUaj//M//yMHNf/gBz+IH9Q8fvz4wsLCbdu23X333fX19YZh7Ny58+c//3kkEjnvvPPMsdLoCqX3z1sFAAAAAMCmTZteeOGF+vp6c43AGKuRAAAgAElEQVTVar3qqqvmzp3LgMHUKS8vv/322+Vyhye9vfHGG2Zx4UAgcO2117Zv4/V6zz///KuvvvoYRk+jvYULFy5fvrz9+rFjx86bNy++TI20Y8eOX/3qV5WVleYai8Vy4YUX3njjjRy86V7l5eU//elPLRbLG2+8caTHdunSpYsXL26/fuTIkbfddtvJJ5+c4j72Qx988MGrr74ql82cU35enXjiiY899ljCZ9eyZcsWL14cf06Ax+O544472ldN2bdv34svvrhz505zjaIo06ZNmzdvXnytGxwVATQAAAAAoG9QVfXjjz/+6KOPgsHgmWeeedlllw0aNCjdnernqqqqfvazn3XS4L//+7/jRwLW1tZu3Lhx06ZN5eXlsVisrKzsu9/97pQpU4ieu1EkEtmxY8f69eu3b99eX1+fmZl56qmnnn/++cOHDz/STTRN++KLL1auXNnQ0PAv//IvM2fOLC4u7sEuDxSrVq16/fXXzzzzzP/7f//vkdpEo9Fdu3Zt2LBh27ZtdXV1GRkZJ5988vnnn59UyQ7E+/Of/9xhpi+EGDNmzIMPPtj+4FkgEPj973+/evVqu90+Y8aMSy655EgFnXVdX79+/YcfflhVVXXqqafOnDlz5MiRlKBMFgE0AAAAAAAAACAlKCsDAAAAAAAAAEgJAmgAAAAAAAAAQEoQQAMAAAAAAAAAUoIAGgAAAAAAAACQEgTQAAAAAAAAAICUIIAGAAAAAAAAAKQEATQAAAAAAAAAICUIoAEAAAAAAAAAKUEADQAAAAAAAABICVu6OwAAAAAAADBQGIZRW1u7bt26bdu2NTQ0ZGVljRgxYvz48WPHjnU4HOnuHQB0PwJoAAAAAACADui6fu65565bt66TNoMGDdqzZ4/H45EXn3vuuXvuucfr9a5fv37MmDHxLQ3DqKys/NnPfvbOO++0347H4/nRj370ox/9aOTIkd24CwCQdgTQAAAAAAAAHVNVVVXVThpomhZ/Udf1I91k3bp1V1xxRV1dnd1uv+2222bMmJGVlaWqamVl5bvvvvvnP//56aefDofDL7zwQjfvAwCkFQE0AAAAAABAZ8aNG7dt27bj2UI4HP7hD39YV1c3atSoDz74IGFw9K233rp3795f/OIXBQUFx9dTAOh1CKABAAAAAAA6oyjKcW5h2bJlMsKeP39+QvosjRgx4vXXX4/FYsd5RwDQ2xBAAwAAAAAApNZ7770nFyZPnnykNoqiHMM8hMFg8O9///vmzZtramqsVmteXl5paemJJ544bNgwm62D2McwjK1bt3799df79u3TdT0/P3/UqFGnnHJKQUGBxWJp3z4ajX7zzTcbN248ePBgTk7OhAkTJk2a5HK5jtoxwzB27969du3aioqKWCx2xx135Ofnm9c2NzevX79+69atra2txcXFkyZNOuWUU44/6AfQCxFAAwAAAAAApJBhGHV1dXI5oWb08dA07a9//eucOXMOHTrU/toLLrjgT3/6U/waXdf/9re/zZo1q8P2b7/99rXXXpvQfsuWLVdeeeXevXvj11sslqVLl86aNat9YF1WVlZVVXXNNde8+OKLt91229KlS82rrr32WhlAh0KhRYsW3XXXXQnDvU844YQPP/xwxIgRXdp5AH0HATQAAAAAAEAKKYoyYcKE1atXCyE++uijk046qVs2++GHH86ePTsajZ5zzjk33nhjXl6eEKKpqWnDhg1vvvlmQmNN0x588MHnnnsuHA6XlZXdddddpaWliqI0NDSsWLHi97//ffvt//a3v503b14gECgqKnrwwQeLi4ubm5t//etfr169+uqrr77xxhtffvnlhEHWcgLG/fv3T506dceOHffee++kSZOsVuuWLVvk4O62traZM2d+9tlnVqt13rx506dPd7vddXV1zz///JYtW6ZOnbpkyZKzzjqrWx4fAL2EYhhGuvsAAAAAAADQ6+i6Pm3atHXr1p144olbt27tyk2eeeaZn/70p16vd+PGjfG1nr/99tvx48fHYjGXy7VgwYLzzz+/rKzM5XIdc9EJTdPGjh27e/fu2267beHChQnXNjU1ffzxx9///vfNNStWrLjyyis1TZszZ87ChQu9Xm98++rq6tbW1nHjxplrvvnmm/Hjxwshpk+f/v7777vdbrlezqa4ePFiq9W6ZMmS2bNnx2+npKSkqqpKCOHz+T744INp06bFX6uq6vXXX//uu+/m5ua+8847M2bMMK9qaWm54oorVq1aVVJSsmnTpkGDBh3bwwKgF+qguA8AAAAAAAC60dixY++77z4hRDgcvuuuuyZPnjxq1Kjp06cvWrTo0KFDxzA68NChQ7t37xZCXH/99e2vzcnJiU+f/X7/3LlzY7HY5MmT33jjjYT0WQgxdOjQ+PRZCPHMM8/IhXfeeSe+4rPL5Xr99dfPPPNMTdMeeOCBI3Xv3XffnTp1asLK/fv3v/fee4qivPvuuxdccEH8VVlZWStXrpT59aefftrJjgPocwigAQAAAAAAOrNt2zZrR0pLS7u4BUVR5s+f/+STT44ePVoI4ff7Dxw4sGrVqltvvbWwsHDChAmPP/54U1NT17sUiUTkQn19/VEbL1u2LBgMCiHuuOOOLs4f+Mknnwgh7rnnnsGDBycM07bZbDLd3rVr1+bNm9vfvKys7Lzzzms/uPuhhx5SVfXkk08+44wz2l/rdDrPPfdcwzBeeumlo/YQQB9CAA0AAAAAANAZi8Xi60j7ocSdcLlc99xzz/bt21evXn3eeedlZmZ6PB6r1SqE2Lx58wMPPFBSUpIw3V8nioqK5G3/8z//s7a2NhaLdTKM+quvvpILs2bN6srGGxoaZCWNhHHKJrNM8/Lly9tfe+KJJybUhhZCRKPRJUuWCCEKCwuP9LjJoiWff/55N07VCCDtmIQQAAAAAACgMyeccMK2bdu6ZVMWi2Xq1KmffPJJOByuqanZvn37unXrnnvuudbW1ra2ttmzZ2/cuLErhaFdLtf8+fMfffTRzZs3FxcXn3HGGWPGjLn88sunTZuWk5OT0FiOkh4xYoTT6exKJ2XBa5fL1X5TUnFxsVxYt26dYRgJHfZ6vRZL4pDHuro6ubB3796bb77ZMAyZmMf/lUVFhBDNzc1yTkUA/QABNAAAAAAAQGeOearATrhcrmHDhg0bNmzGjBnXXHPNBRdcUFlZ+fe//33lypUXX3xxV7Zw77337t69+09/+lNDQ8OaNWvWrFnz+uuvW63W2bNn/9u//dukSZPMbgcCASFESUlJF/smw2KHw2HOPZjAXN/W1tb+Wjk0O0FLS4tc2L17txk0H0ksFutiVwH0fgTQAAAAAAAA6TR27NiXX3555syZuq4/+uijXQygMzIyFi9eXFVVtWHDhoULF/7pT38SQmia9u67777//vu33377448/LjNoh8MhhGhtbe1ifzwej9zUkYJgVVW7uCmTmUr/+7//+2233dZ540GDBiW7fQC9FgE0AAAAAABAmp1wwgnZ2dmNjY2bNm1qX9TiSCwWS2lpaWlp6ezZs4PB4Pr165csWbJo0aJgMPjrX/963rx5I0eOFIfz3G3btmma1uHw5ATjxo0TQoRCIXPYcgKznsZpp53Wxa4WFBTIherq6nHjxqViUDmA3olJCAEAAAAAANLMZrPJuslut/vYwlmPx3Puuee+8sora9asEUI0Njbu27dPXjVs2DAhRCQS6WIl6+HDhzscDl3Xd+7c2WEDc1bDGTNmdLF72dnZ+fn5Qoj9+/dHIpEu3gpAP0AADQAAAAAAkFobNmzQNK2TBuXl5c3NzUKI//N//s9x3tfEiRPlZIPRaFSuufbaa+XCU0891Xk3JEVRzjvvPCHEggULOqzC8eGHHwohsrKyZLMuevnll4UQW7ZskZMcAhggCKABAAAAAABS65lnnjnvvPO2bNnSPs81DKO+vv6+++5TVdXtds+fP78rGwwEAi0tLYZhtN/aN998E4lEHA7HkCFD5Mrhw4fff//9iqIsXbp01apV7TPoSCSSMJ3gNddcI4TYs2fPY489Ft9e1/XPP//87bffFkI89NBDR5qlsEMzZsyYMGFCMBi85JJL9u/f32GbUCgkp0wE0G8QQAMAAAAAAKTcF198MXny5OnTpy9ZsqSmpsYwDMMw6urqFi1aNGXKlC+//FIIceedd2ZlZXVla19++eUZZ5xx4403fv755y0tLbquG4bR2tr64osvnnvuuUKIM84448QTTzTbz58/f9KkSeFw+NJLL73lllv27t2raZqu63V1da+88srkyZPlHIama665Zt68eUKIBQsW3HjjjVVVVYZhNDc3/+IXv7jooouEEKWlpTfffHNSj4DH4/mf//kfn89XU1MzZcqURx99tLq6WmbogUDgH//4x3333XfGGWesWLEiqc0C6OWYhBAAAAAAACC1vvvd7+7fv3/jxo2rV69evXp1+wajR4++7bbb7r777i5uUNO0HTt27Nix46233kq4SlGUOXPmvP766y6Xy1zp9Xr/8pe//OQnP1myZMnixYsXL16ccKtwOBx/0W63P/vssy6X64033njnnXfeeeed+GuvuOKKN9980+v1drG3ZsdOOeWUDRs23HPPPX/+858ffvjhhx9+uH0zKkQD/YzS/mQNAAAAAAAA6Lo+bdq0devWnXjiiV0sW/zMM8/89Kc/9Xq9GzduHDNmjLneMAxVVSORyLp161asWLF27dqtW7cqijJ+/PizzjrrhhtuGDNmjMPh6Pr0g6qq7ty5c/Xq1atWrdq0aVNlZaVhGKeffvqcOXNuuummrKwsq9Xa4R61tbUtWbLkrbfe+vLLL51O5+jRo6dNm3bVVVdNnDgxPrA22zc2Nv7mN79ZvHjxpk2bRowYcd11182bN6+goKDD7ZeUlFRVVV177bVvvfXWkfbFMAxd12tqat59993f/e53mzZtEkIMGTJk3Lhx55xzztlnnz1+/Pj2PQHQdxFAAwAAAAAAAABSghrQAAAAAAAAAICUIIAGAAAAAAAAAKQEATQAAAAAAAAAICUIoAEAAAAAAAAAKUEADQAAAAAAAABICQJoAAAAAAAAAEBKEEADAAAAAAAAAFKCABoAAAAAAAAAkBIE0AAAAAAAAACAlCCABgAAAAAAAACkBAE0AAAAAAAAACAlCKABAAAAAAAAAClBAA0AAAAAAAAASAkCaAAAAAAAAABAShBAAwAAAAAAAABSggAaAAAAAAAAAJASBNAAAAAAAAAAgJQggAYAAAAAAAAApAQBNAAAAAAAAAAgJQigAQAAAAAAAAApQQANAAAAAAAAAEgJAmgAAAAAAAAAQEoQQAMAAAAAAAAAUoIAGgAAAAAAAACQEgTQAAAAAAAAAICUIIAGAAAAAAAAAKQEATQAAAAAAAAAICUIoAEAAAAAAAAAKUEADQAAAAAAAABICQJoAAAAAAAAAEBKEEADAAAAAAAAAFKCABoAAAAAAAAAkBK2dHcAAAAAAND3GIaR7i4AADBQKIqS7i4cOwJoAAAAAEDS6urqnnrqqXT3ojPxEXnf/d1u7kXf3QXRv/aiH+yC1Hd3pB+8nPrHEyH6/puiDz0RP/7xj4cPH57uXhw7AmgAAAAAQNJCodCqVavKysocDke6+9IxXdd1XRdCWCwWi6Wv1p80DEPTNKvV2svDkc6pqiqEUBTFarWmuy/HTtM0IURf3wWZuPXpV5R8a/eDXRB9/IkQQqiq2qd3QX7Ait796aTr+q5du2644YZ0d+S4EEADAAAAAI7R008/PXTo0HT3omPhcDgQCAghMjIy3G53urtzjHRdb2pq8vl8vTbo74r6+nohhNPp9Pl86e7LsfP7/YZhZGZmprsjx66lpSUWiwkhcnNz++5RmWAwGIlEsrOz+27uGQwGg8GgoihZWVk2Wx+O5urr63NycnptdHtUqqq2tLQYhtGbP53C4fDZZ5+d7l4crz78KgcAAAAApJfFYum10YPZt97cya6QI7j79C70myfCMIy+uwuGYfSPN4XVarUclu6+HKP+8USIw89F390FXdflq6g370XffZ3H6w/7AAAAAAAAAADohQigAQAAAAAAAAApQQANAAAAAAAAAEgJAmgAAAAAAAAAQEoQQAMAAAAAAAAAUoIAGgAAAAAAAACQEgTQAAAAAAAAAICUIIAGAAAAAAAAAKQEATQAAAAAAAAAICUIoAEAAAAAAAAAKUEADQAAAAAAAABICQJoAAAAAAAAAEBKEEADAAAAAAAAAFKCABoAAAAAAAAAkBIE0AAAAAAAAACAlCCABgAAAAAAAACkBAE0AAAAAAAAACAlbOnuAAAAAAAAxyva2BLYWxG/JhKJhkJBIUTM7Q47nfFXectKHHnZPdo/AAAGqn4YQP/Xf/3X+vXr49csX748/mJra+v1118fv2bZsmU2W/c8FLNmzdJ1XQhx3XXXzZ07t1u22d7ll19uGIYQ4kc/+tFFF12UonvpXrFY7KqrrhJCvPrqq0OGDEnFXVx22WVy4YEHHpg8eXIq7qJb7Nu3784775TL8sX5ySefPP/884qi/PGPf0xr1wAAAIC+qvazL9fOvaOLjc98+9nS71+c0v4AAABpIJbgePPNN9PdhZR46aWXFixYsGDBgnXr1qW7Lx246aabhBButztF6XOfdt555wkhDMP4/e9/n+6+AAAAAAAAAN1mQATQtbW18Re//fbb1N2X87DuGlLddV999dW6devWrVtXWVnZw3d9VJqmBQIBIcSTTz6Z7r70Roqi3HDDDUKIRYsWybHtAAAAAAAAQD8wIALoTZs2xV+U+WyKAuJ333136dKlS5culeUmIF1xxRVCCJvNNmzYsHT3pZeaM2eOXHjwwQfT2xMAAAAAAACgu/TDGtDtvfzyyxdeeKFc1jRNLjz66KMPPPBA+8a6rq9YseKLL77Ys2dPRkbG6aefPn369PHjx8e3+fDDD+XC9773PYfDsWrVqkWLFr300kter3flypVyBOuYMWNGjRoVf6u6urr33ntv7dq1kUhk4sSJl19++ZgxY8xrDxw48PXXXwshrFbrjBkzzPXhcPjTTz+VyxdfnHSRsr17927fvl0I4XQ6p0+fbq6vra396quvEjabsF+fffbZokWLnn/++ezsf87OEQgEli5d+tlnn4VCoSlTplx55ZWlpaVH7UMsFpML7UN5wzA+/fTTTz/99Ntvv/X5fJMnT7744ovjQ+rm5mazokjC7pu97fBhMQxj8eLFH330kcfjmTlz5mWXXaYoSvtm1dXVCxcu3LJly2WXXXbDDTfEYrG//OUvQgiLxWK+ZiRVVf/4xz9++umn1dXVw4cPP/vssy+77DKr1dp+mzt27Fi5cuVXX30VDAbLysqmTp16pJYJxo4du3379i1bthy1JQAAAAAAANAn9PMA+uKLL/7www/lrICSmbompMPStm3b7r//fvNia2vrZ5999tlnnzmdzt/+9rdmgvnyyy/LhalTp95777179+4VQsjc+ZVXXjEnIYy/i7vuuks2k1avXr169erMzMy33npLrtm9e7fcrMvlig+gg8GgeXdHCqC/+eab+GGzb7/99ttvv/3cc8+NGDHi66+/fuONN4QQOTk58QF0eXl5+83G79f999+/e/duc7+EEM8///wnn3xibkEGx4WFhS+//HKH2a7pZz/7mVy49tpr49fX19ffeuut5sWmpqaVK1euXLkyLy/v9ddfl9usq6s70u538rDouj5r1izZ80Ag8Nprr7322mvvvPOO1+uNb/boo4+ar4ff/e53y5YtW7x4sdyszWaLD6AXL168dOlS8+LevXv37t27aNGiOXPmyNIZprlz54ZCIfPirl27du3atWjRonvuuWfatGmdPEpCiB//+Me33367EGLTpk2nn356540BAAAAAACA3q+fl+CYOnWqXFBVVS789a9/PVJjTdPi0+d4kUjkJz/5Sfv1GzdujI+Vj+T+++/vsFlra2t8Att7bN68WabPpuXLl8enz6aDBw9effXVnW9t586dQgin0xmfUxuGcaR9b2hoSEh1k7VgwYL2lZQT4u9XXnnFTJ8lXdfvvvvu9ltbvnx5fPocb+nSpcuXLzcv3nnnnfHpc7ynnnrqqMWdzaHfL7zwQuctAQAAAAAAgD6hn4+APumkk+TCwYMHS0pKhBBmOYv21q5day7/8Y9/lGnp6tWrn3rqKXG4cnSCZ599VghxxRVXjB492uFwdLhZv9+/bds2ubxw4cLBgwcLIZqamm666SYhRH19va7rFstxHQk49dRTly9ffuutt9bX1wshrrvuurlz5x7PBuUuz5o164QTTnA6nYZhLFy4UF716quvDhkyRAihquqVV14phAiFQjU1NQUFBZ1vU+64qaWlxVw2H22/33/dddcJIVpbW4+n/0KI4uLiF198UQixf//+O++8U6588MEH//M//1Muf/DBB3Lh9NNPf/jhh4UQDzzwwNatWxO2o+u6ue+ZmZmLFy9WFMUwjB/84Ad1dXVCiIULF1522WWywb59++TCr3/9a/mAGIZx+eWXy5Xbt28fN25c593OyMhoa2uTzyMAAAAAAADQ1/XzEdDmkNv77rtPxFWTkIUOEixdunTIkCFDhgy5++67zRsOHz68k+273e7ly5ffcsstU6dOdTqdHbZZtmyZuWyGsDk5OYWFhXL5zTff7PIO9RCn0ykT7e9+97sej8ccvu12u2X6LISw2WwygBZC/PCHPzzSpuTwZyFEQknl+CHh5vh0n88387Dj3IWXXnpJURRFUcrKyuQUiEIIs7zyH/7wB7mgKMrPf/5z2fLxxx9vv50NGzaYy2+99ZZ8YSiK8tprr5nrzSrVQw4z4/j4Qd+BQOCo3c7Nze3yLgIAAAAAAAC9XT8fAS2EOOWUU7Zs2SKzP3Ng6cSJE9u3/O///m9zua2tbefOnZs3b46Pj9u75557jtqB9957Ty7Mmzcvfv0rr7xy1NumS8J+mbM1jh8/Pj6Q9fl8cqGT4hJyZkV52/j18RMwyskJr7/++unTpyc8SsfGTJylm2+++fe//318P9evXy8XEg4w3HHHHb/61a/i1zz55JNywSznYho+fPj+/fuFECtXrpwyZYoQ4tVXX5VX6bpeVVW1e/ful156Kamem4cxwuGwy+VK6rYAAAAAAABAb9P/A+gzzzzTHPe6efNmuZCVlRWJRNo3bmxsvOeee2Rpha6IT1GP6rTTTut64/QaO3Zs/EWzrvGXX3755ZdfJrWp6upquZCdnR2/3uv1Dhky5NChQ+aat956S07J+J3vfGf+/Pk227G/OEePHh1/MX4Ysix4Ul5eLi8mjMuePHlyQgBtjs6eNGlSwr2UlpbKALqpqclc+etf//r9998/5p4XFRXJ6tutra0E0Ph/7N13fBRl/gfw7/StyaaRShJ6L6KgoqAidtoJgieo3KlYTrFgr6dYOZWD39kQxLMBIoiABZRTBGmCUgVCCAmQhPRsmd2ZnfL8/nhgXNIJCUn0+3758jU7+8zMs5tNSD773e+DEEIIIYQQQggh1Nb9wVtwQETCGAwGab4JJyeSFr/fP3nyZCt9ttvtf/vb31599dWmmslpNnpuo6zW2IZhVLlrzpw5//d//9etW7cq+7dt22Y192gc0zTrHmDFylU6d9f4wqiN9QW1Ljdx4sTI9Hno0KFPPfVUw08IANb7IqeTvyOEEEIIIfSnxDA8X+0/juG56vvhFH7xRwghhNBp+eOHXFaQN3PmzPLycgC4/PLLaxw5adIkunH++ec/+uijNIssKytrqpns3bs3NTW1qc52mupomlEdXXYPACZMmEAXCWy47t27r1q1CgAKCwtjYmKq3JuRkUEXPKyoqHjnnXesZsoAsHDhwuuvv/6UrmXZv3//0KFDrZuRD5amxikpKbQJ9cqVKy+99FLr3n379lU5Fc/zNK3esGHDxRdfHHkXLX+GE42by8vL/X4/3bNo0SK73d6ImRcXF9ONKgXjCCGEEEIIoboRhuGcrpP2EEL/FqCLvpw0mvkzlgchhBBCLeJP8Y9uQkICAGzbto3ejIwmI1kx5Y033mj9dmId1WjXXHMN3ajS2+HWW28dNWrUqFGjPvvsM4gop1UUJXLY6fRzAACO4+hGZJsIAPjxxx8bfpJnn32Wbqxbty5yv6Zp+SfUdqzVueKrr76K3P/DCbS/R0xMzKOPPrp8+XIro1+5cmUdU/rmm2/quHfFihWRofPcuXPphvVl7dy5M92IXAsRIh6pxep/vWnTpshzEkKsAJpW2VsTjo+Pb1z6DACyLNONP2e9PEIIIYQQQo1nmmpZZeR/4XKvVuHTKnzhcm+Vu0yjng9NIoQQQqip/ClCrl69ekFE14WePXvWPX7RokU0aqysrPzPf/5zmlcfP368tb1mzRq6kZWVZdW6jhs3Dk5uJ71w4UL6Xv2uXbusNQzrZaWrR48etXaeffbZ1vZ3331HT7t+/fpTCqD79u1LNwoKCg4cOEC3DcOYMGHCnXfeeeedd1q9TaqzFircu3dv5P7XT3jhhResYNcwjKKiIrp9xx13AEBSUpJ1yKxZs+j8s7Ky6l3c75577qGn3bFjhxXiX3HFFXTjrrvuohuEkOnTp9PTvvzyy9XPM2DAAGv7xhtvpOfUdf3mm2+29tP1CV2u49UWpaWl9F0EQsj9999f9zyroK8K620DhBBCCCGEEEIIIYTatD9+Cw4AuOOOO3744QfrZm3dda018dauXbt27dqmunpMTEz37t1pb4dZs2bNmjUr8l4r223Xrp2185NPPvnkk0/otiAImqY18EK0gfXatWs3b9788ssvd+zYMS0tzRowe/Zsqwq74acFAJZlR48e/cUXXwDAtGnTqg945JFH6jjc5XIFAoEqSzvOnj176tSpALBz587Ro0dXP20oWecAACAASURBVIqmulZ+DQBr1qyxEvx653/48OHqp7VyZ5Zlu3TpQsP0n3/+ucYJWCPvuusumnf7fL7qIx944AG6MWrUqPfff59uR77rYKn3Cbd6SVdZRBEhhBBCCCGEEEIIoTbqT1EB7XA4rO06or3qRbUsy0bW9v7000+Nm8CMGTMiC5wtffr0ef75562bzzzzTPUx7777bgOvctttt1nbkX087r333iojbTbbo48+2sDTUrfccsuwYcOq74+Pj//888/rPtYqFo5sA5KZmXnDDTfUdoiV5ALA66+/Xn3AwoUL67jiY489Vr2FRZVa8tdeey3yhUF9/PHH1c925ZVXRj63ke677z6rMTTP89W7u4wfP14QBLpNK7jrmLb1oF588cU6hiGEEEIIIYQQQggh1FYwp7QY3R+eaZpr1qyZP39+dHT07bff3r9//yY8eWVl5apVq1auXKnr+siRI6+++urqC82FQqHPPvts+fLlsbGxt9566znnnFN1rYw6FRQUvPPOO9u3b+/Zs+eTTz7pdDrpfp/P9+mnn3711VcpKSlTpkyxyq5PlSzLq1atWrZsWTgcHjFixJVXXhkfH9+QA0eNGgUAvXv3rhKt6rq+c+fO1atX//LLL6ZpDhw4cMSIET179qzyqMPh8PLlyxcvXuxyuSZPnnzhhRfW+7QQQr777rv333/f5XJNmTJlwIABNR6SnZ09b968rKysiRMnjhkzRpZlusqiIAhVAmvDMLZu3frpp59mZ2f36NFj3LhxAwYMqB5zHzlyZM6cOXv27Bk9evR1111XPeOuw7XXXksbxSxfvrzhRyGEEEIIIdQi8vLyxo4du2zZssiPXbagI0tWrRs3tYGDBy+cmTnh6madT1MxDKOiosLtdkuS1NJzabzS0lIAEEUxKiqqpefSeD6fjxASHR3d0hNpJEKI1+ulf3XGxMS03d6PwWBQURSPx9N2F0+SZZkuiBUdHW1VrbVFpaWlHo+ntk4DrZ+maV6vF1r3T6dQKDRkyJD33nuv0Wlea4ABNDoTZsyYsX79emj10erGjRtfeuklAOjZs2eNLaGbT0lJyS233AIAH330Uav9qYcQQgghhJAFA+gzAwPo1gMD6FYCA+jWAwPoM+CPEUC31e9V1LY8/PDDdOPDDz9s2ZlQK1euHHWC1a5E0zSaPgPA2LFjz/CUnnrqKQBgWbbV/shDCCGEEEIIIYQQQuhUYQCNzhAasC5evLg1FN2PGDHCeo9x/PjxNIm2QueEhISBAweeyfn4/f6CggIAmD9//pm8LkIIIYQQQgghhBBCzQoDaHSGDBw4sHv37l27dt2yZUtLzwUAYMmSJeecc071/WPGjJk3b94ZnsycOXO6du161VVXxcTEnOFLI4QQQgghhBBCCCHUfNpqlxbUFs2YMaOlp3CSp59+mhBSUVFRVlbGcVxiYqK1bOMZNm3atBa5LkIIIYQQQgghhBBCzQoDaPSnxjBMbGxsbGxsS08EIYQQQgghhBBCCKE/IGzBgRBCCCGEEEIIIYQQQqhZYACNEEIIIYQQQgghhBBCqFlgAI0QQgghhBBCCCGEEEKoWWAAjRBCCCGEEEIIIYQQQqhZYACNEEIIIYQQQgghhBBCqFlgAI0QQgghhBBCCCGEEEKoWWAAjRBCCCGEEEIIIYQQQqhZYACNEEIIIYQQQgghhBBCqFlgAI0QQgghhBBCCCGEEEKoWWAAjRBCCCGEEEIIIYQQQqhZYACNEEIIIYQQQgghhBBCqFlgAI0QQgghhBBCCCGEEEKoWfAtPQGEEEIIIYQQQm0PIQQAZFn2+XwtPRcAgGAo1PDBSijUSqZdL/o8h0IhVVVbei6nS9f1tvK010jXdUJIm34IhmHQjUAgwDBMy06m0QzDME0zEAi09EQaz/pCBIPBtvuFoILBYEtPofHoD1ho3T+d6A9/0zRbeiKnBQNohBBCCCGEEEKnjP7dbppmK/mrmJik4YNNQlrJtBuItLUJ16itPwrrNd/SE2k8K24jhFjbbc4f6QthmmZbD6ANw2i7DyHyO6LVvqKstyvaNAygEUIIIYQQQgidMpZlAcDtdns8npaeCwCA3+lo+GCHw9FKpl0vwzAqKiocDockSS09l8YrLS0FAEEQoqKiWnoujefz+Qgh0dHRLT2RRiKEeL1eXdcBwO12cxzX0jNqpGAwqChKVFQU/SnUFsmyHAqFAMDlcgmC0NLTabzS0lK3283zbTVd1DTN6/VC6/7pRF8qbffVTrXt2SOEEEIIIYQQQgghhBBqtTCARgghhBBCCCGEEEIIIdQsMIBGCCGEEEIIIYQQQggh1CwwgEYIIYQQQgghhBBCCCHULDCARgghhBBCCCGEEEIIIdQsMIBGCCGEEEIIIYQQQggh1CwwgEYIIYQQQgghhBBCCCHULDCARgghhBBCCCGEEEIIIdQsMIBGCCGEEEIIIYQQQggh1CwwgEYIIYQQQgghhBBCCCHULDCARgghhBBCCCGEEEIIIdQsMIBGCCGEEEIIIYQQQggh1Cz4lp4AQgih00UIIYRE7tE0rfqY07wKwzCnf5J6LxF5k+M4lj3pjdIqNxFCCCGEEEIIIdTKYQCNEEItrMZUV9d1a9swjJaaTGQi3Nzpc/VLRD4JDcdxHN1gGMbatlTJuBFCCCGEEEIIIdSsMIBGCKHmZYWq1gbNVauXLZ/mVUzTNAzD1HRCTAJACNFVVQsqDMMwHMfyHCcIDMcyHBf2Bfz5xyoO5Ib9AWV/npJzRD9WpheVacUVUD3sZhixQ4rUJcN1Xp/4Qf1SBvazOezVg93WIzKvryPCtoqpeZ6HiGAaE2qEEEIIIYQQQqgJYQCNEEJNwDRN+n+aKTdHzbJhGGpIUYNB1euv2PGbb99Bwy9rR4+pOUf0/CLTL9d9uNS3q+vyIRVLf1B+O3hqFyYknJMfzsn3r9pQCLALAABsPTrGjhve956bHW5XIx9PS6NfMgAIh8N1DKNRO/0/wzAYTyOEEEIIIYQQQqcEA2iEEDoFtKKW5svN1JLCMAxfeUUwEKjcsK3ix5/10go154heUEzCVds6NwgDcdP+7l+/0//DVv+WrKaapLI3p2D6nIKX5p299v2MAX0bcQZCSMGh3NKlX8q/7jZKy41KLwmGGJvEOBxclIt12MEmAcdxDpuYkhQ16Cx7pw6CIDhjY+x2e5XGIIZh0K8FIYTjuKatzqZf6xrfUaDToJejZdQIIYQQQgghhBCqAv9gRgihk9DCWLqIX3N3PdZ13Vta5q2s9H2/qfyLNdqxEr24jITUJjk5FxMVO+2WYy/MK3z+vSY5YQ10Y9sFNx6+bWz/6fc5XE5vRVnAVynoAT5cKailBECzJ4fFWJOTRJ4VbU7R7hRFkeO4vJ27D429BWqJ1Kt3zSh/878n3RZFNsoFAMQfIGpN9cuiyNgk1m5jHTYQBDbKLbZPcZzd1zHwLLvD7klKtNvtp//o6cuDvidRvdcHwzAsy3Ich3XTCCGEEEIIIYT+zDCARgj9edUWHTaTUCh0dP8B70/byuYs0gtLia7DKQbc9j5do6+6yDTN6CHnMCZh7VLObU+Ejxw7aRDDpC147cjUGaHDx/IfnEn3dZj5UMzFg4DngBBG4AHAJMcJgmAd6l279cCUZ0/1cZW8uyTrrM7np/zUwEyXAETb+zOC0MiabgAIh83S8roHkHDY8PmtumV16w7/51+fNIZlgeO4xLjov//VMeispA6Z0dHRjZxPTWhpdo2l0zzP17hAIkIIIYQQQggh9MeDATRC6I/M6swAALquW21/m/uipmnqmlZ2KK94/8GyuYtDP/3SkANZu2SGVOeAXnHjrxbTk5WsQzFjLjsRFBOO41RV1TRNEARN05xOJwB0Xf4Oy7K+7zcfe3dhwtP/UH/ZH9iwo2zWgsTJYxL/elXh/GXJf/8LwzDWA5dlGcInVVirqgonynXdQwacvWfZr4P+asqhU3jADNM3MxvqaqR88nCA5ND25NkDfljEhlb/eAoXalqmCaZpHD1W/tzMcoCj1n6OdYy+Iuqa4e3PGeCIcnM83+T1y/Q9D1plT9EVEfmIa2HRNEIIIYQQQgihPwYMoBFCfxw0qKUrATbHMoA1XjGsqmpICRQcK9myPXS00P/dRnXn/gYebu/brf0zU22d0+m06c5QKEQI4SUpunvHQCAQOZ6WzTIM43A4GIZhgAEGCCHOoedkDO5PCInp3lm77nKO4wghAVmOm3QNPWFtVd4Oh8M6M008DTAH/PJp6f82x108kGHZ4N6c3Cf/L7g7u7aHIKYnXfTu1c5QY7pLXzzB3H3dk0due77hh3TZsELe8mvBtH+mvvZPICT//mcacd16GGZw6dfBpV8fLyxnGOfIy5znnZ162cUOT7RkszVHNEy/+tWXQ6SRNH17oMkvihBCCCGEEEIInQEYQCOE2jCrxcEZKG02DCPoD4SCQd/u/aVrN4ePFAZ/+U3PL2r4GaKvGOK54kIxPcXeJZMQomTn2btk0rtowhgKhXiedzqdtGY5FPq9DJnjOCsshhNF1jSqjrxEZFEtAITD4eqZZqRgMEg3eJ632+2maYbDYU3TXIP7BWTZbrdL6cm2jJTaAuiUh2+44IJCrlHpM9Wb/SH+47t23POJWV5Z4wD7Of1Yuy3u1huOPfua7epLAcA56Kwu674Ih8NQVOq8cFC7h/8BLFMw7Vl1/8Eaz8AIfMxN4/2rftCOFlg7k//1tOuCgfnTnrUPuyD2muGGzx/c9Iu8cWtg/WZSpfqbEHn5ann56uLHXwIAEHjH0POcA/okjrnaHR/ncDob/dgbovo7ByzLsiyLHTwQQgghhBBCCLUVGEAjhNoGM8IZuBwhpLK0zFdWXrxwhX/zDjUr1yj3NuI8jMCnz3gk6qJBDMdqmqYoiuR0EkLKl6yKGXHJSSMZRhAEwzAURdF1neM4QRCsAlhCiKqqzddFhBDi9/t5ngcAlmUlSSp9c1H2Z98ZZTXnwgBw7rdPdJDXQn1drFUhpiT5StmWmlSwsjxpGKf5RbUs2rvDHsqnAxK0rH7/vX/frO9C362rcmzn9V8wJyp/Mz56I2/S3eb1Y1iWNU1TFEWSlpwy4ykAqPh0eR3dtImmq/sPGn5/5M7Ch56jG8GNW5W1G1NmPCVedB4/ZFC7p+43Ssvl9VvK3v7ADMg1nE7Tg2vWB9esL/nXWwAAkij16OI8/+z4CWPikpNOM48mhFSUlCqBAM2XWZ7nBJ4TRclmE0WRVl5b3wLWmw30FWK9VE5nAgghhBBCCCGEUJPDABoh1ErRsPXMxM0A4PV6i4/ke1esKftkpVHpMwPBRp+q744VAGAEZM7lVBQFAAJBGQAYhnE6nSzLhsNh8YoLiMADgD8iGHU4HLSs1W63hyu8xz5cWfL24v4/vs+5nZqm1V3LfJoMw5AkSRRFANh91Z1KztG6RjPM6BUj7fLaGu/Mb3+dYk8FhiWEAMsDMMAwLCHFaaMURdENN/Du8pRu8fJv7Y6tAgBvzNmxFVsv+ivZNOBO76x5RP39YWZfOBoAWKeDi48F00x6/hGWZXOvu00vr5Q6ZdoH9Al8/1PmoncMllWzcuqYr7x+MwBI3TsnPnlfwQP/1ItLT753y4HBI8UO6RkfvwEAbLv4qDFX2q4eZrPZAMAMhvSyirwJt9d8ajWsbt+jbt9T/tYHAAA8z8V6XNdcGnP9mJSOHez2Bq7LCJtuuVfds98MhmqrBAcAEEXWYWMkiU9KsJ83wD3qiihPdGxysiiKhJAqLw9c5xAhhBBCCCGEUCvBkNqrxhBC6MygP4g0TTsDcTPtE62GlMO7fwv8sqd45nyjpKIR50n759TYv1xGt3cNupboBhjHJ+8Y0Kvz/Jetn640gxZF0UoDaehsBb50VoWvvMskxduHnq38uL3djSNYjiOE6LpODz8DXC5X/uyPvRu2h7bX08P6/NUPZwQ31HavyQo53R5QFEUURV3XRVFUVZUW8DLBUrB5CMPagkfTDi8gAIo9VVRLOPN4eLo96q+lT8/U9h2so6L5NEm9uql76nmAXEJcu4fucl4wEAAMw9A0rUqUHC4oKnn1rdC2neTknifV8elpsS8+mt6/jzsqKrKPc8Dr3XzWcGi6NxUYT1TUhNH24RfGJSfHpabQXuFWQTTLsoIgHB+JVdIIIYSaSF5e3tixY5ctW5aWltbScwEAOLJk1bpxUxs4ePDCmZkTrm7W+TQVwzAqKircbrckSS09l8YrLS0FAFEUo6KiWnoujefz+Qgh0dHRLT2RRiKEeL1e2uQtJiam7RYrBINBRVE8Hk/bXShFlmXacTE6Otr6Rb0tKi0t9Xg89KO0bZGmaV6vF1r3T6dQKDRkyJD33nuvb9++LT2XxmurLxGEUJtGWxgbhnFmCpx1TVOCoSPrNlVu3lE+ZxEJ1xMaAgAjibaumfETR8dcNZTuKfjX3NKPvmDtUvdv3uM9UaZpyrJMFwPsvXkJIQQ0ffegsX1+/YJhWUVRaP0sANjtdkJIKBSiHTaszgn09wximuGgIjrtiQ/dQu/lxg6Tg42vv24Eh8Ph/eFn7cKzKtf9ouw6UPfguElX1pE+AwBj6kBMm80my7LT6QQASZL8fr/L5QJHPACkZ78jaF4AyO18Z1TFdpOVnPLx+uX+vgXwYBJAUo7r4gN3vmGWN+a9gbrVmz4DgFFSVvjw9Mg9UvfOjnP6C50zjJjoqMx0Pikh6tlp8aIoimL40OHDk+629e2pZh0karhKdK4fPlo86e5iAABgnPaoiWOdA/qkDh6UNf+TJkyfAYBU+rzvfOh958NjETu5lETnNcOlHp3je/XwZKSLNsn61ZDnefonB+bRCCGEEEIIIYSaFQbQCKEzhMbNdM3A5qZpWsDrLf5pW9mGrd4lq+toZBzJPWpYVJ/uceOvIoRYqZx/03bfD5v9G38N5+YzAt9hzgus3QZ0LbjicqaDEwAYhimeu7ji89UAUPDavIQbx9iSEtSjx6S0JGs+9OHbbDabzUYI0Uoryrb+XPDq+32/fJOziYFAgLY2bpano04Oh4NlWdeQASSoaIcL6x2ffHk3gG11DGCAdN73L2907zhGLHNeBgCmadJ18zruf+1Ixk05mbfwPO/07U879KFgBGo8ScfADymvD/7xsZ+NwuLGPa6mpe7LNhlG++gzACgDYOy2tNnPi906eT//Wt66AwCiR1/huniwUenLHXtLbSchcsg75yMvQEFtI5qaUVDke/djACg5sYdrF+8ceVns4IFxA/q5Yn4vVeA4jmXZtlsFgxBCCCGEEEKo1cIAGiHULGjWTCudz8wVveXlxVu2Fy76Mrhlp15QV2rJuV2eERdHDR1o792VdTpYjgWAA3c+7V/+vw7T7zeCirI/x/u/jWULvxTiY7p/Pc/etUP5598CANH0/OffVA7mSZlpjosHxQ4dFPwtm5HEYNahxNvGJ942vvj9JQk3XxsMBjnDsNJnABAEQRCE4rcX5Lz7acztE4J7DoFX7vbfF6IvPMvUdF7g3W43Lalu7mepulAo5HQ6RVE8+NDrhrfmODhS5f5yGFj/aaO9uwHAENzlsYNkWeY4zl25izF1T/nWULvLAIAwHF9L+kzZDO+wF/r88OoR7beshj6YhuB50PW6h9gvGxr69seTDmoXn/LkfWXf/xSY+wkAkJBy5LYH3ZcNDeceVQ/kCH17hIpL3DZJ97g7/Pg5z/PerTucHdIPjbypKWfeOCwLEd+DRnGpb94C37wFuQAAwKUm2c7umzB2RHSPrrFJifQzjAzD0DAaVzVECCGEEEIIIXT6MIBGCDUZXddp6HzGrkgIOZx14PCLb/nXbjFrD08ZSYyfOMpz5VApM5WVjrddNgyD+AI0fd7Zb2TMyEtTF8wEgD3nXwcAiXdP6vTey9mTpil5BawkdFk0i4S1Iy++2XneSwTANE1BEJTcfL2swtWzs61jewDQNM0x7grTNOkzENnoueSDZcdefy9h+lQmJVXs3rno9U8SJo0AAI7jZFmGM9TkuSraH8NUVHqz4pufGnRU376HE7qnl3zdkMHxJWujK349mjlJ5+3xR//HAER7d0Z7d/qlVLeaDwABMdEVLqrtcJ6olzyYeijxqdjUVMntYhhG8fmKtu/OnXxvQ65enZCWkvrxfwCADWuH/3qnXlpe47Aq6TMA6MWlR+5+3KzwRu5UDx1u984MLawJoqBv2JZ3/R2Zi94xDENRFL5HZ41lM9cu5QxTLyphHXZimkTT9dJyBsjRux5r3PwbIv6uyVGjLs+5auLxZiB1vgNk5B+T84/Jy1fTm1y7eLFrx3b3/D2hZ/fomBi608qj226LPYQQQgghhBBCLQgDaITQaaHNJc7wReVA4NBPmw/f+pQZqKtk2HXRuRkvP8g5bNYe3RegAbRhGBzHqYQcHDGlw5zn++5YQQfs7Dey1/qFrMtBCz/pfk3TbIKQc+vj6a8/zrIsMAx9yLbMVMhMzRo/NWroICMYih093CwqOfjv/6Z+OIPjOLfbXfTWJ7n//ZyEFGCY2AdvzX9oNgAcmfIcAKQ/OUXXdY7jXC4XAIBpEoZhGEaW5TOW4Muy7Ha7GbtNr/DtuODGhhzSf9PHHfv1BgDFvCpv9+ZuhR/Xe4ig+zpkv2kCy8DvSShNnwHAGa6nwwZHtI7H5qq9Xne6XADgioqKTUnJPbmqt54JdM7MmP9vhuMIIZqm0UUdHQ5HysK3Dg+f0MCTAECV9BkAwtm5JY+/lPbi44xNYi690HXJYL2iko/xcBynKIqmaXSBF4iNWKYm2sVxHK2SNhW1cuGysjkfNXwO1dn690r993S9sEi3S5LTGdy4tfKzlaVvvl99ZOf1X2RfOLrusxnFpaHi0rz1W/IAgOP49NSkWc916tuH5/nIb3NBELBZB0IIIYQQQgihBsIAGiF0CmhLDV3Xz2SZM6WFw0d27Dn69se+pd828BCjuNQMhiIDaD7KFQqFdF232+0AIMZEd/7iLVVVaVF01rh7Up68i3M7rfG0eTHPcQCQ/srDSvZhMrBPwO93u910QMWqdV0WzQIAwzAYhuE6pHZdOmhnv5FxE64pW/Tl8YsmJ0BC4rHn50bObVv3UVVmy8VERV19YYcnbz+TjTjo2oC5T8wGs0FfUJo+AwDLch36Dg71Oje0eU6sf3e9B7JQc17MQP3XZcFQN/7HedmjJy7Nnrdr7aZeQxoyYeD5jP/ODgQC1rEulyu0a2/OHY806PATbL27x0y8tvCxF609sbOe8744u/3rzwKArus01waeA78fAERRrO1UhmHQBa8BwHPTdTE3j2cYJvf6O7TD+ac0JSrpmWmsKIgZaSIhJiGuS4c4LrmAdtymA5S9B2w9upTN+aho+kypR2ej0q8fK4aGfP8ahn7o8NFRk48CMHZbwsxnuw2/RJBEhmE0TbPW0uQ4Dpt1IIQQQgghhBCqAwbQCKG6BAOyFlZNkxi6LjkdgiCcyasTQmSfL3vZN4XT32zgQoKRQnsPFs9bnPrIlMiddrudrjFoGAbLsma51zx01OjRqXThSuVArnfVuvjrrgIAIxDkXA7TNFVVtUmSIQfZmCjSowONDml7DQAQLxxAa5YZhnE6nSzD5N77PABY6bPnptHF7y6HQyVQH6PCl/jAjVau19ysDF09WtTlraf2jn9Q3rG/7kM4j7vqHo5zDb6zqKxE+u3j6OCB5gsgnUqBruvWinlxie0cV1wcXPVDvQdmLn73pPM4nQcGj2zEBJTd+4Jbd8S88GjFEy/TPcEFyzp+Pj8cDquqWn18OBxuyGmtNxuS3v835wvkjvnbqU4s9y9/t7Y9149xXjDQ1rOrKQqqqjocDgCw9egCALYLBjoMQ0hP5T2/l2OXzfmo/P1FDbkKCSnFdzxSDMDYpITpj3S7doQoSfQuwzCs4miWZdVg0DSJw+06wz8rEEIIIYQQQgi1WhhAI4SqCvh8pdk5hz9YFFjxHfH6Iu9iY6K7Ln43tXu36kdpmhb0+sKaFi6tqNy5z783W6vwqdmHwzlHWLdT6pzu6N/j3MfvbuAcyotLst9dUPbeZ0Z51b4HluiRl8RcOVRMTRRTk1hRAID9Y+5yDuhZvmSVNSa06/j6dVpRqX/DL74ft/rX/Uy0mtegc197mX/ptwBw4Ib7M2c9VfL+EiGlnbx5h/e7DYl33+i+8GxbnId3uQCA6LoZUo1KH9F0qWN7vaTcv/HXnH/WUEdsP68/zPmiIQ/Z1qm9zWZjGKaB2eXpkCSJlmwTQo7OW1LxSQMaOrNM7+/n1nhPTFwCDLnPG5SVPV8kldffSDq7+8Mds/7NmqfwMEsyx6bxJ/2D1Xfm85t6D6m3cDv3L3/rsmGFJEmqqtKy90Yz42K8J9JnAGBEEQAEQRBFkTbcOJ2Ta5pmaxef8MDtnnEj9LKKI1Me0guLmCg38fkbfpLKhcsqFy6j20J6SvKLT8g/bqQtPhhR9Fw/2vvgs2YgCABcTDSfEKcV1tP/pDqiqMUPPVf80HMpM5/tPm50larn3avXFE6+7/gEenSOuuKSjJsnxCclYRiNEEIIIYQQQn9mGEAjhAAA/D7fsX1ZR2e+o2z51fTWlHlxXNStf027dkRi1y4AoKpqecGxwKGjxxasUA7kKftySLD2pfSKysLZh/2rf/rF7ez29/EOh6PGT+sTQkoLCg/+e3754q9rnsMJUZeen/7SNNU0dV3XADRVAVVxu93pC16zSVL50tVWh4Hgrv07+x2veHUPHmDv3dXRp+uxWf+le2zdOiRNvck5oBfnsAOAaZplHTP0Sl+HD/5lGEbc7dcLghB92QVqpU8vrdAKSxiGCR8uzJnypLNfd7Fj+3DOkegrhuS//I5eUq4eOlrjVAvverbdo38rfnl+HQ8HAByDenee9ywABIPBukc2miAItIMKXUGRYZjKLTsPenBO5gAAIABJREFU3fmCEajniu7h57Z7aDIfG6UYxp49ewDA6XSmp6dXWZLO4XA6Bt5QuNlMrtxY9wk775txSjPPSR6X0L5vlZ1x7RIyFrydN+H2eg8PHy1Uo10AoKoqzzf+Xz1/ZLNmnvdcMzzwwwbd7RIT4x1pKTabzTCM0/nyBQIBe7+eAMDHxXRYMhcAAms3Fj3/bzOkRF15iVZUoheXakUlED6edEc9MCVx3Ejvsm8qFnyuHSmocjbtcEH5+wsTpt0ZO3nCgcEjSTisHSvutHpR4Ndd9s4d9aKS0I493s+/DvtrXbqzbgX3P+Nftzl+7Ah7eqonKZGG+z2HX5KwYeXeyVO1rBxtb3bZ3uyyf78LAHyHdPclg1NuuSGtU6fT+RIghBBCCCGEEGqLmDPfyBUh1EooipKzc1f+Yy9oBw7VFh9LFwxMmDIpaUC/isKiwIG8oncWqNlH9LJKqKWIuCEYUfCMvcwz7HxXv24duncDgIJDuTkvvOH96kcSqj3FBkh5/M6Yqy8Ch01RFDNiDTqe50VRpH1v94+9W83Os+5yntUzfcbDIPC8J4oQwrJs3gMvetdsFFITe3w1l7aytdlsLMvqXj/rdtKWCIIgSJLkW7tZTEqQOrQ3WIZhGNrolhCiqqphGE6nk7aTZhjGZrP9NmgsGLUsi8cwtj5dfT9n1dp4V+C7bfzA7XZbnT2alsvloo+d3jRNk2EYQw5tP7vOJfgYJuOD6VK3TObkoNlis9k6depUZSchpn/DnPjArqaY+El0VvK6e+mdRiW3b2/t/Cq9X13vfAAAABvl7vTNJwBA/73LvqBq9+0adV7/BcMw4SMFedffAQB8SlKHxXMMw8gZ+hcAsF9xUerT00zTpC1Z6NPrdDpPM4N2uVxFz76e+MwDmqbRzh6iKEqSRAiRZZlhGJZl7XZ7OPdI2dxPbD27lH+0NP3z9wRJhBP9ygHAqPSqOYdLZs4JH8yt8Sp8SlKHz37vTGIGQ8eee13+cVOjpw0AwLKsJ4qL8bhHX2Hv0SV4IKdixps1D4yLcV81LGXKjR16dMe20Qgh1Nbl5eWNHTt22bJlaWlpLT0XAIAjS1atGze1gYMHL5yZOeHqZp1PUzEMo6Kiwu12SydaYLVFpaWlACCKYlRUVEvPpfF8Ph8hJDo6uv6hrRIhxOv10oWyY2Ji2u6y0sFgUFEUj8fD1vKnSusnyzL9UyI6OrpNf16wtLTU4/G03SoTTdO8Xi+07p9OoVBoyJAh7733Xt++VQuz2hAMoBH6E6Hf71m/bC+c+7G8eEWt4zgu/p1XiBw+9vyb4YM1F/aePsYupS+eWf6fj+RvN9Q1TBQ6vf+KvWfn39d5A+B5nnaroI/IMAzrHzximEp2rq1rB0VRbDYb/UfdbrOVL1lVtujrLotnWUcFAgGXywUAtB80/fWLEGJ4/QdvfaLr4tk0BHS73XS8lQkKgiDxAnDH13kjhPjWbMyb9lIdj4J12pWyUG33nrN/BT2/9QCblsvlolMNBAKEEJfLVX0JxEh8QmzHL2fXljtX0bNnz+ox4pHcgx33z2zIAoOnRAfh21u+B5ZNXfhWv4uHMix77Gj+tv7D6j2wy4YVNNx3OBxHbrpHO3Sk3kO4WE/HlR9a/0SGdu619+7GcJx/zbpjT81gHPZO3y5iGIaYZkhRrCbIp4l2EreWTIxEv4iRb1HQ7h/Wk1/lKPo9AgDZQ8aAWctbIwCMKHb6/jN6EjOkyJu2BTdukzdtM8or6ziqybBMu9nPd7j0orj4eAyjEUKoLcIA+szAALr1wAC6lcAAuvXAAPoM+GME0G31JYIQajgtHC47mn/oy28rXv4/otbaeJdLS3bdMrF8/hfK7gPy+AebYyZ8YlzUyEvErhklT88mYfXI6LtqG+no36PDm88ydikcDmuaFggEWJZ1u900RDdNs3pI53K5TNPUNM3WtQPdI8uy0+HIe+Al3/ebAKDP9uWRRzmdTjAMhudN09Tzi367bipR1Li/jkx55Lb0D2cEAgFRFOlKfVb27XQ66a84dNVBv9/PcZzD4ag7fQYALjYaagmgu337Dr1EfU9e4wUCAdr2hJZC/zbm3joG2/p0zpj/XMNPnpOTU70Oun1mJy3zP8Vbl6aVrWnMjGtxNPoCgO/BNPPH354P4LpuRLcH/5H00f8dm3RPPQfe83jSzOdCoVAwGMz46I2GFEEb5ZVHpz6Z9Po/6e+FTKd0YNnsYde1f/uVLhtWHJ3y0PFxDGO322l4ahhGKBQ6nbd1CSE1ps9QLV8GAFq/X9updF0PBAJOp7PL+i8AgJhmzlU3mP7jax4Cy9J8mYTD2ReM6vjVx+B2gijAOX0d5/R1Tv270+mskggru/eVvvG+euiweSptqethkuK7n6CNqPlOmXH33drt6sudbnfb/UMCIYQQQgghhFB1GEAj9AdEP7Cv6/rh7TuPPfaiduBQHYPF/r2kYUMrV/4ob93jm/ZqzYMYptb2EfViWefFA11Dzw6sXh/avLNy/mf1HsGwbKf3XwkEAkzQoD0HSIWPj/MAQEhRoJa4lsaskiTRvNhut4c3/LrrgePRsKNvN9M0f4/VCAGGYXj+0NTp/rVbAMA9ZGDm/z0lyzJN+iRJEkXR7/dbFdMsy+q6rqqqzWZTFOV4IA4AAOmvPZb/3H+M2vtW8+2T4cCx6vu7zJ9uT2lHK7hpCwWzSctOeZ6n06Z9IWibiNC+Wl8PfLznlNJnAKitaruitCi5fO0pnapeARJ30s3FK7ctXtmQA03/8f4VDMMEAoFO678omzW3so4PAQAAQGjrjrJX3oiedrumaTQa7vTdopKZc5x33Jj05ktVSo8lSeJ5ntbUn2YjjiZEW8oAgCAIHb9ZwDBMwWMvqgdzE+67zTV4YPDX3ZULlwW37fStWB0uOBZ7/xRa76+qqpV32+12nudVVdUyUj3/etLpdBI1XPHJ51p+obzlV7Osoqmmqh/MLbrnyaJ7ngQAx9WXJo0bmXLheTano02XeiGEEEIIIYQQAgygEfojMU2zuLjY5/MBbSVR4S1+eoZ24JBj9BXBL1ZVGWwbci7Xq4fv658qftwDP+6pfjZHv+6xYy6NHnaeEOcBgJ2DxpvBWptIVMfFRHluHm0UFPlX/hBauzm0dnMDD5Q6tu+69A0GwPjp18DWXXqZ19G3m7N/DyEh1jRNjuPqiGhp6udwOMiOrH0PvRI54aT7/lb5+bd8nMd90SDTNBVFkSRJ/n4zTZ/bTbm+3S3jGIbhT4AT4Z1V0GqaJm3BQSNXu90eDodprBk17Lzgzn2l//281gd1Vh/436/V91eu+inq/H5E1YDjdF1vwvSZhq0AIIqicazMntouFArV+9mu9PenR94URZEQUkeZLWU1MKF0XZe3fpDo3daIaatiQkX8uQ45zy4f8nn6xZb+FFmFG9y2txHnBAA1K+fQsOs8466Jv+cWOkPHlInx991W/t/F5e9+VMebK84h50Z+UeRgMP7+KfR9AkVRaOdx+j6EpmmhUIgOdrlcLpcrGAw27dsJp8Mql45+8l5BEARBCG7fLWakpbzypKqqDMMI4bBhmoyu094d1hedFoBTVoG2eN01NpaNlyQA4DguuGmb/7t1/tVrwTD4dnGxt04EwzS8Pu1wvrzpF6O8ghEFEq7nVRQp+NWanK/W5ACkvP6s87wBdrs9NjbW6XQ25TOCEEIIIYQQQuhMwQAaoTaPEJJ/6NDhdz6QN/3Cu5zasWK9pIxEZK+R6bP9sqFc714VH6yQv9wMXx4PhRlRTLhplGf4YFu3TFYQTNM0DCMcDvM8b56IF/tu+TT30df4hNjS+UvrmIzUq3PszaO9i75Stu+t+L8P6xiZMfupvKnTq+9Xc47s6n+iQwLL9P11OW2waxgGwzAMw9Sdhzqdzorla/KfmR074erEB2/ZO3As3V/60bLMmU/4/X4aKzudzn2X3qSXewGg6xdvGQkxIUMHWSeE0PLqyEYKgiAYhlElTKTnsYqgk+6bbOvQ/ug/Z1efEhcbXfzaB9X3J1x/Vftn7gAA5dBRR4+O9ea8DWetXEdv7htz71m/fMqyLM/zvs07azuKi4sWkn4vMaYxa0N6g0Smz6ZpmuteSgjXUO5dh6A9rSD9emA5oL0jonsCMABQkXAhECKEK1LzPuaNoO+L70/ptJGIplUsWFaxYJnYtWPKv552JsSZphl783Vxk8ereUcO//Uuvl28Xlxa5ajCR1/ovPZzsHM0eKWfLQAAp9NJsnOZXt2CwSB9fdI1KulRtBjf6XQSQkKhUFN1iG4S9H0UVVWhU4bKsoaqSpJEW0vX3dOj+nl+z6Z7d3P37RHz8F203J6+ZlgAiWWjWJbnefrOh3fdJl0UiKJWPFZPyxpLwQPPAMfaenePu/WG0rkL2t39t8xhQ6PabNdFhBBCCCGEEPpzwgAaobbKNM19v27Pv/ep8IFDcCLhqq3Bs234EOmC844984a85EdY8iNwXPc186X4GIbjdF0nhHAcFwwGZUWBiI4K4XCY/p8ma3FPTHE4HKn33kh08+iLbyfeM4njuN1DJwGA66oh0aOHFT32mrYvu+ix16penmWS7r4xdtyVDMeVf73Wc+lgITY6XFgspiV1/vi1nKnTlR37qhzBiEKXRbPEjBQzrHGiQHsuE0LqXdwgFArFjh4OGcnH7n+pfNFXAMAnxPZYPV8OBmnKZrfbOY7z/rTVCpRZp8PmdAIA7bBBQzSHw0HzONqLo8bmvHa7HU70g2ZZVuqUXuOUNLOGuuMBO5cwogAm0Q2d7ZBimmYTVsvqui4IAsuyhBDTNM/ausgMqU6nc++kx+Rtv9V2VMelr0febOCUPB6PtU0IUX6a7Wlw+rwn7VbJHceYmslwDMPCiRp2hpEURTFNk3a0CIsxuV3viT/0qVG4q4FnrkM4Kyd39OTfb3MsEACG6bBsPgDoFZW5Y/5OInLY7Iv+wrpdmV9+pIZVK0qWZZnvlBHOPcLphpEUDwBVUuZgMMgwjCAIDocjcuXAVsU0zXA4TL/Nm+RU1XfS9zDohwbY/r2ibDbOMMn1oysXflHbqWInT6hc+mXGh/8xvH7vilWBNeuVHb8VPPgcUcNHbnvwCABjs0XdMCbj9pvaV2s+jhBCCCGEEEKoFWJOZ7kkhNAZRggJyfLuVWtKpz5Zx3KCxwm8feh54rChBfe8CABclCvp7onxf70GABRFaZJV72j9r+GXsyc9qOYeBQA+Libx+ftizz+rct1Wz+ABDM9ZM6f/DwaDdCk8GmoTQuj2nvPHm6Hj2XfH914S+3Sl/S4agud5u91OLxE+XLh/zJ0Zrz4aNew8hmGC+3PsXTIZlpVl2Waz0VrdYyv/V/zETOtwhud7bfzUZBmWZWn6XDbvs8Tbr4+cOV1ysPqlaVdlADDV8G8XTbQewolTM8KAvvJPO6ocdc7+FeFwWFVVp9PJEAIs23ztGhiGcTqdhte//dyJdY/suuUjhmHg5KXn6saybI8ePaybJVsWpVb82JADCUBeh1t0Wzy9Sd8FiWwn7XA4DMOgT5G1JB19qeROmKIdLYRT/7fLdflFwQ1bzYBc2wB7/94JD94hpqeSEw1MGIYJ/Lip6MXZps/fac1i1m6zSp6Pn9PlIpqmAzT85YoAwOFw1LjSIAMQ+u2AvVdXaw/9UALHcYqi0Hd6BEGgXx0tvzCwYWvU5Rd3Oasfz/PMqbx0EUIINYm8vLyxY8cuW7YsLS2tpecCAHBkyap146Y2cPDghTMzJ1zdrPNpKoZhVFRUuN3uNr00QmlpKQCIohgVFdXSc2k8n89HCIlus5/HIoR4vV76l2BMTEzkBxnblmAwqCiKx+Npu4tXy7JMP1AYHR1db6fE1qy0tNTj8dRbKNZqaZrm9Xqhdf90CoVCQ4YMee+99/r27dvSc2m8tvoSQejPgxASCgbLD+Ud+mixb+4n9Y5nHHb7pReK5w8qnTFfKfQLOfn9di03TZPW81Yv420E2iVW13W/3y9JUv4TrwvJCd2+eMswDKtIOfrCs01CiK4rihL5RhfDMKFQiLZytj7vz3Fcr42fZk96kOg653bpxWUOAoLLVWW2LMtyHCdJkhEI8m5nIBAghDgcDo7j9EqfciAXeM7Zv2evrUvpbyQk56itY3uGZU3TtLJvAEgaMSyw6Kvgzv0AIGamdlv2Fr0QTZPz/vFPJSvXc83FUlpS+dJVsddeYahhRqjhpyUdTwgB0yyet7hq+gwQ87exRW/WsOhizoOvJlx/lfd/WyoNo/1jtzZThSzDMC6Xq/iTr/Y9+1ZtY/h4j61Pl5gRg43cw8VXT6I7hbN6eR6byka56z6/JEmdO3e2bhZu/yajAemzYks62uFmEixjbHFwoqG2IAg8z1vdGyCiolaWZbfbrWmaFU+nfvQG/V2ZYRhTUQsfnh7aVmtfkYiHyiU+/QAtaT8weKS1233lJcr+g1ruESAktH13wVMzkua+GlryZczEscdffmf1Sl32niiKjGlWLloe/GVn0nMPqaZJX+2020blv99NuH8KASA+P+eJ1jQtHA63ngbQrVDkIo2iKNKC/VAopOs6pCdb3xHCCQDgcDh0XQ+FQr+XWke7hasuCXNcVlYWx3G0H3dMTIwkSRhGI4RaHCEkLy9v7dq15eXl0dHRF110UceOHfGnE0IIIYT+nDCARqiVou9Ol5aWmqYZPlqQN/72usczTkfUDX+JGT+Kd9h1XTcMw710Fu1c3CShMwAwDGO322mCbJ1TVdWUfz3Msqzf76cpUpUS0eqPKzJnpAzDCAQCqe9OZ1lWkqTyld+zkqhpmsPhoDWPQEhkZW5g03b1YB7rdEYPP59zu3MeezXl7hvLPv06fcbD9Pwul0vNzbd178RwLM2pBUGgbZEVRZEMEty5P2HytUn3TabPD02vJEn6bdiNzhEXp9z0l0N3PhM+XNBj9XxT01hRoO2nq3xkhLbgqNi59+hNj9T4YANrNgDHgnFSECmkJWa8cj/Lso6zunMc17TpM8MwHMcJgsBxXMmCr2uMnu0DurvO6ys62PAvO7Wdv8Gun/27fo4coP26p2T87XznzLj/vFjjVViW7dSpkyiK1h6/tyK9aEW90zMZ/miHmwGAccTRtwQ4jiOE0MJzq6UJHWwlznTFP+skkdsAEPvKE5IkhXfty3/gnyTiLrFLh/S5rwd+3AgMK6/f7P/m+6P/eCz5+Ucrv1xDB0SNvjLxkX9omqYVlRy7+4n2b75kyiGxc2YwGIydNA4AOI6jr2SrOTJ39SWxoy9nRJFs3eE8px/9LggGg647byIAoU2/2M/uEwqFaNV5K2wA3TpZbUAEQXC5XJqmWeXkkW2p6eqgkiRVKTY3DMN6kv1+f3FxsSRJDocjPj7e4XCcwceBEPqTeumllz788MNzzjnngw9OWu/h559/Hj58uPWvvNPpXL169eDBg1tijgghhBBCLQwDaIRaneLiYq/XS0MZh8NRPm9B+XsLahvM2CT3P/7mW7ddivV4Jl6rqCo0UdwciS5qp6pqZN2ixSpIbPQyehzH2Ww2hmGUolLZpYsXDzy2dLVrQA8OWD0uyu120/SZnp/n+XB+UdFbCwCg8NW5jF2Kv+OvfLQ7cfq9NCaG4nLD5eDbJwWVkFWFyvN8KBRyOBySQTi3s8/25cFgkAaIHMeJmpE98b7wkULO406fOnnPxRM7vPFPW+8uLMvqZZWmyEtR7uoNi2hxbkzfHubDtxXMeLf64zIqfQzDRB4W/48JGfdMpAVQuq7X+HyeEtrSmvam8P30a8W3GwNbdis5R6sM84wb7ujXxfjlF23nXvPwPu3wvnq/VHp2bvGYv7VbNj9yp8vlSkhIqJ7rKUd/qbemqyLmnLKkS62bhmHQOnq6nB3NEGlxfZWGJLR0PTKXjGQYRjAYhE7p6d98LAiCGQweGnETUcPhA4cOXnVD+7de0ZITos47q92Dd+ZOuD135E0AIKQkZSyeEwwGacmtIzkxY8nccDisu53hQAAA/H4/z/M1ZsfHI9HunSJzcMMwZFlm+nZX9h7g3G6mfbLf7+c4zuFwKIrShMtL/rHVvQpi9Teu6hgmy3J5ebnNZrPb7TW+YhFCqKls3bo1KyvrlVdeidwpy/LEiRNp+kxXqZVl+bLLLtu8eXPv3r1baKYIIYQQQi0GA2iEWgXTNPPz80OhkKqqmqbRPNFutwc3basxfWYkMWb6QyVvf6bsyAo883a7265LvHvi6aeZVa/CMHa7nWVZWZabZKWy2oiiSDNZW2I8wzCGYfBXDaGRtGEY1WuEE27+S8LNf6GNNXiep08XRwgAhEIh3eMCAAiFIg8JhUK2gJI/878pj98hy3Jkvilqxm9Db6DbRqW/6O0F3X/4KBQKsSybd9/zSfdNBhMCbM35aigUstls8RNH1RhAx/zjxsKnf69Bbv/ElMSbfm/+cJpPKcuyDocja/JT/k1Ve0wfH+B2ps16SP18ZXjnb+SH74I/fHeqlyCK6p3xpueRf6SkpLjd7jqaxElyft2nMhm+yDOo295XKpzdytPHhMNhURSrf2V1XadNLSJfzLTTBcdxrmpdWSKpqkoT6vRVC3hCDl4yjgRDh2+e2vmn5bIsm7rpvuKSyk+WZix6W0hLoeehL4Mav3HqzTqrDyCEMN06FT88XT9SmLF0nizLfr/f5XLZbDbTNIPBIC66cCbRdwVoEu1wOARBSE5OplX2CCHUhA4ePBgbG3v22WdbewghH3zwQXZ2NgA88MADr776aigUuummm5YuXTpz5sy5c+diIw6EEEII/dm01X7tCP1hHDp0KCsra9euXcXFxX6/PxwOMwzjdrtdLhcE5IKHp580mmHaLXo7HJUYKAkfueMFZft+KSOl/+4VyVNvbNr0meM4t9stiiItE27u4Iz29KD8fn8wGKTpcygUqvFx0ZG0gpU+aaZp0nUCa8sNHQ4HlxgXNXWSoiiRZdEup9NKn6mkuyfxPC+///mu/qN8P2yRMlKFzJTangFd1+mfkX13rOCiT2qa7B55SWT63PHNJ6KuG+6PcCrPUFWSJJG8Y9u6j6oxfc5c8FJst5goSfY9/E9141YiN/61ofxvfXpqqsfjqXuJEl/8uXWfhyV690NvhoS4svajAaDuv73ponNVdkbWI7vdbroAZo1UVZXD4S4bjrcEUXbtczqdbJTLPewCAAhu2NpUTWmq03U95d/T9eJSazkU+pKWZRnT55ZC2+xUVFTs3bs3KysrKysLa9IRQk2osLDQbrfHxcVZe0zT/PLLLwHA5XI999xzDMM4HI5Zs2YlJyfv3r0b/zlACCGE0J8QVkAj1AJ0XbfiZqsMli4ZBwCGYSiKwjCM6LAzHEcMk09Ldt1xc8mbi4yCksJ7X2534+iEiSN3njchdvSwtMduhxOFnE1CkiRBEGiw21TnPFVut7vhjQt4nuc4LhQK1fEk0HYK4XCYZVm73a6qqigI8o592bc8Tqq1WdjZbyQA2Ht16b1licEyAVmuMsBut4ciyqvpme12e9Ql51YsO15lzMV5Kv/3qzWGsUsxw86lqatpmnK1c54Sl8uVdfMT/s27quwXO6SmPn1LxUPPVd7z2O+PPTFBLyqJHMbYbSSk8CmJnNOpHsgBhoE6/xg+vOKbnpMm1D2lqLgkOFDPtLenTnG4oolpBoNBSZJCJ5eoRwqHw3UXO9MGFy6XizbmVhSl+hsP4XCYi49Ne+Ml34rVhY+90GHlh1r75I7rlhmGUWMrj9NEJ3P8Bs9jvtAKEULoj7U9e/bYbDae59PS0nDFQoTQaaqsrExNTY1cFyEUCuXk5ADAI4884nQ66c7ExMT4+PhDhw6Zpmm9SYkQQggh9CeBATRCZ044HC4rK6MJSPUFymiXW9pYVpIkHpjD9z7lefw+o8xvz0hxn98/7uLzdV0XRZFoetnS1X03LaLnNE3z9Av6aLcNAKBtQE7zbKepSouMukV2hq2+TiAAcBwncbx39/6YAb2JbgBA1tCJRKn1MaY+cWfMuCsVRZHDJ41xuVzhcJjjOJ7nadoYDodVVWVZ1tidnfP+ksD6bcenIYlCn56hbzZYx569/TMAUFW1EW03aCthurSdQJjKNZu2TXu16hiPO/n2UYF5H1c89Jy1U+zcIW3ua6wgENM8OGR0/NRb9dIy99XDGY7j4mNZu80wDJ7nD994dzgnr44JlLz1X6gzgA6riri9htUOI/nFZEFy0D+5ad/qul9m9O/zKi+DQCBgBdN04UqHw8EC433tbee5Z4sd08UO6QRA13VBEAL/W8+3ixdSkxyTx3umTKIhY5O3qYmcGwCIosiybMfvP8MAujWj3TkAIBAISJIkSVJiYqIVEiGE0Cmp/htLIBDYv38/AIwc+XvfLY7jOI4rLS09o5NDCCGEEGodMIBGqNmZpllSUuL1eunN42umRbDb7bquG4YhCAKUVaqVlWynTIbn0/7vBU3TDMOgHyGng2lsJ152flNVKHMcZ7fbNU1rvmzuVDW6oFsURY7jwgcP8x3SFEWx2WyCINC7HIkJALDr7DE1HBZRAuwY0Ctu/NU1PrcMw/i/21Dw+Os9ti4lhGia5nQ6BUE48uJblZ9+HTlSuvBc35frrJu2rhmEEMMwJEmiDb4b8lhoYSbLsrQZhSRJB+963vv9z9VHCqntomIhMO/jyJ1xU2+JmTDGNE3aziJ5xtPsgN5Ontd1nRCiGjpdrNLlciU8cEf+/U+BVmvLYy4poaywMCo+3noyI6lKyLbuacGs58VT6egsCAKN7EVRjFzBrwqWZWkUSBeOq7IgYWQGDScC5bhH7i6bv/DYM/+KPI99QJ/Ud2bQAvY6qq2bVrO2SkdNjv40DgaDPp9PkiSbzRYfH19HdxeEEKouMTFR13W60DHds3TpUtM0k5OTExMTqwyuu58VQgghhNAfFQbQCDWrYCi6AAAgAElEQVSj/Px8WZbNkFI0faZyMNfWu3u7B24Hm0TvpYvIKfuzC994n09K4Af29/1vq7J9f/rTd/HdBfrHTLNOj3bbUBSl+VrinmGqqjIM4+ySyTAMx3Gg6bIsO51OYpr7R93BcFU/8Rr/93HJU2/SNI1+clbTNE3T6ng2Cqe/CQA0hxUEYe81t2lHj1UZY7v4gsj0GQCE9kl0bjT8rfdRiKJICBFF8bfJTwQ37wYgUlqSeriw5sHpSS5H2Cgsr7I/tGW7uv9g3GNTBUEwTdPs292MKBW3BAIBR98enMtpVHhrODvHJj55Z+zy+dqUMWUAhifWuPwvCWMn2U/8jR0Myo4N0+tNnwEgJMQzDCOKIv0a1THS6XR6Wcl0epigf/bnWU+NTK339alpWsw1w+2J7VRVierfp/KTpf7Va5W92fgZZ9RAhmHQ9U4rKyvtdrskSQkJCbQnEkII1a1Hjx4bNmzYtWvXueeeCwCyLE+bNg0AMjMzY2JirGH0A1v4FhdCCCGE/pwwgEaoWRzcu+/g5KlmudeoqKR72DhP8lP3+/1+m2m63W7l0OGiF2ZF3fN337cbvdsOmr6dsGBNyiO3dnxpmizLsizT7IxmxAzDNK57Q21oDwRZllu820aTo89b6ECe2DEtGFYBwO/3syzbbdmb+0dMsYZFDR+c8f/snXd8FEUbx5+tt3t7l4QUUkgIJfQWREEBAQsoUpQiKIKiAhYEBZQXFAEVQQVsWFAQpSiCiggqKoiiNOkQOgkQCGmk317ZOu8fg2e4JJcLJJDAfP/I5zI7Mzu7t7e395tnfs+cSU6nU5ZlLIyqqqppWlnB17jblpuXJ7Xrd6DdfbVHPZD98ZdQQkwWe95e+P1Gn8J6M57RNM1qteK46XIPgef5/bc+op/P95aUpT4DQEiTcHXvwZLl0XOmYZ3X6+tSKlar1b37QKnqc/DzT0VvWUH/8Jm3hCnIY1Z+VrDys8z7H6s3bFTaqRMNTrwXiHtuekgnOryxdyQsy/q58BBCphQCAMt+TWkWJZZUqz0ej49DtGEYKCTIes/tuQ8+HXF/X9vzT0ZNf950upx/bbd3rbS1AoRrm+L+rYqipKenywcOx3W6OSI66iqOikAgVH86d+68YcOGhx9++KmnnmrSpMmHH36Iv+wGDBhQ/MZSWFjocDgiIiKI7zyBQCAQCITrECJAEwiVieJR9n65Mvd/M0pust/WCQAkq9V95tz57QeyX/8EAPK3TypeJ332Z5a46IJfNwNDx774JM+wNMdVbniy1WqlafqaCXnG8DyvaRrLshaWPfnUtLjXnjNjwrE5A8dxmqYxDFPw639RyRTLhg/tCwCSJCFVcxUWuWnaIgh+JH4sTF9w7NaN7I++9K1BQdCjg3M+WuFTzATbLaEh+LUfIRiDPUNMRS2uPvsh9sWh8qfLSt2U0rkvZeHDJz4TdFe3UitYrVaaos7P/qhoza8+m+iw0PgHOokbPi+1IQUgfrPoZFBQM3FzuSNEACbFO2rf4inm622aZqlu3d6ttKE50jMK3MboO0JLysd4cYCPBm2apmma9b/51HMmjXY4zYT6Ck2hG1oS9ZkQID6XitVqlVo1y3cUJb//Kde5fWKPO9jSLGgIBAJhzJgxK1euPHz48Lhx47yFiYmJY8aMKa41p6amZmRkdOzYkQjQBAKBQCAQrkOIAE0gVAKapp3asv3UhOl6alrJrWyj+kED+wg3tj47fV7ut7/56YevG3P6uVlC4/j670xGPOt2u6HylGKvo25ldXi1wAkAAcDpdLIsSzs97kOHASD9s+8aLJjR4NMZsixTCEmSpJxIFZrUN02TZdnIEYOyPvwSTBMAWuz8LvmhCZ7Dyd4+7f26x770lM1m84pQFosFG3Pjf1mWNU2zLAWZsvD2B/uWVJ8BoN7yWbquezyeQMw3PB4Py7J7Wg8I5DzUeXOsPPv9MjfTdP11yymGNvIL7aEh3uPCGrf7wOFTT/2vtCOhIl55NmLVfNiy3v/eVUYod4QI4ESTFzRNowwDB4BjQ3M/ViQsywIA0rQFf56f1jemrMu1ePbO/4akqqqqQmiINTaGomm2NMsRAiFAvNceP7CXIAgpJ0/mLf8+tGvH+p1uLh7SSCAQCKGhoX/99df48eOXLFmCS3r27Pn555/73CvWrVunKEp0dDQRoAkEAoFAIFyHEAGaQLgszqdnHH3n46LPfZVHvk1z/sZEzakVLF3TevH7AKBpWtz0MUpalrx9v7darb63i03ruw4cr/3IfWLLRqZpYpcGRdehkgygKYqyWq2maV4D0jNGlmWO4ywWi/zdb9nzliL1gqlF0O03p4ya0uCT12w2m/PYyYMPjAOEgKZjp48pOH46Z9kPANB6/1otJ8+UXYwkFu/T8f16dtqY4v4YOJ8hALhcLoqiRFH0eDynbn+k1CHVeu7RzFc+KXUTTdGBeHmzLEtRlJmWvafT8EBOQtgTA5x+1GcAMM2Tt18QsiM+nU2dzRBvaKVnnU97aZaRW3p4NR0aEj/wZnHV/HL3XjTgcfek6cmL30jI/dFPtZRm/6MQoigK+1C7XC6fsOWL9o4t0TkxLzc3xMyb2ifa5XL5Ue1lWZYkyTCMkrMC18ylTqgm4GtMuPcunedPnTpluNwRdWIiate+2uMiEAjVhbCwsMWLF3/wwQd5eXnBwcEhISEl6/Tu3fuOO+6oTW4dBAKBQCAQrkuIAE0gXAqapp349fczL79pnE33FnItmlh7dHXsPeH+54Dz78Pw92FcfvyhF+JeHZO98NuCXzdjtTSo6011Xx+HJAF7EUgDuhumWem2GDRNi6Ko67rT6azcnq8WFEUJgkBRFE3Tx3qNUs9dlACwaON2LibySI9HY55/PLhH59b71px+/o2i9VvSpr7nrXNyzKvyXzvx65DetxX8+EfxHliWxWbQAKBpWu7yH8Me7I0Drg/d8TDfIA4ppXh08Al1y1KfASDz7SVNPnhJVdWyXI8ZhqFpWhCEMzMXZC9e4/8M0JLY4N2JTQf1Roax5bvv/Ff2cn7UC+XWEbp1rKcep3f8WW5NZ/d+8pyPACDnkUlRH95vU0rxpz5T63Y16iYAwPbl3mMvK+yLYRir1ZovRVAux8eb8if3jFQUpdyYcWyVLknSNXOFE64wDMOUGk1fKt41EIIgpGdk5OTmsjQTGRUZFBxclWMkEAg1Brvd7ifHYGJi4pUcDIFAIBAIBEK1ggjQBELFSDt1+vj4qe7NOwCrYzwX8uIY5+5j8obtzm3HCrYdK9nEtf/osXtHA0DMC4+F3tedCZLcbrfbMKA8R+DLQZKka0l6xtbVuqYnD3rWcDiN7NxSq5keT/ONS03TRB71+IPPKafSEr5+R0vPTn3hzabrF3OhwQDgPni8YN0mtnZY7eEDdEWR12/FbfN//jP/l78bvP+ypmkIIY/HEznsvqTEvq32rdF13cjJd+eUHjjMtmwOB8+UNfJ6U55wuVx+RC7TNEWe392yH9L8+UXU+2RqswE9BeuFpHy6Wn4yw8Cxj340duvX1MWCL6Jp9aGnuR+W0UUF3kJP4s2FC1fCvzUPf3yw/WNhPr2lNHgSWYJ1XTdN00d2VxSlVMlPFEXZYgeaVvLOawZsOu7qWD8gv92ykkYSCOXCcZwgCPKfW23dOpqmGfjdUlEUm82mn88xw8Mys7LSMzJYVUto3apKR0sgEAgEAoFAIBAINRciQBMIAWEYxr5fN2QOfw6bCFt7dxf7dD/78IuoSHOOf9t/26ixwyJHDNQNw+PxuAFVoq1zqdhstgqJKdUcURQZhsnbtufcU9PLrcxFR6Q88j/XgaOAEBsa0mrfGoqiDo2c0mr3almWFVkGALpBbK0xw3Rdl2W5wZzJB9r0wW3TXnwbAJIS+wpNGyYsf5uiKFdObqPNy5MS+/rZY/DQPucXrvVTwe10hkSFK4pSVoZDURR3N7/P/3G1P7g6tmH94iUMx/I3tVF37i+rSeDUevWFqFXzSkYmqzM+poJDqaUfeEuMkPC87zdBMZ3aPHgk0z42yrHHW5Lc9AUEFCCkKEpJdVhVVUEQSgrQmqZpNgEAOHsQQOGm4447mtcJZE2AH08PAqFUBEEwTZPjOKfTqWkaf0s7AKAoKvBoaBybf+reRy/8TwEgOEZREW9OaTtsMEdyFRIIBAKBQCAQCATCxRABmkDwh2maaYePHh8/Vdl/mI2NrjV7asGKX+UN25xfrYevysnSBgCt/llJiRan0ylfqhxMURRFUZIkaZpWVgY8L5IkmVVg5XG1sFgsjKKefeHNoo3bA2ziOfRfXkGpy43Zn67I+ujLqPGPFjd3Nk0TC6NYRWJrh+kXx1N7jqYcbHsvxXOtdq7KXbPR3/4YJvfr38sZU6HTTwS0IAgpT83w05pvUKfHnu95i8WnnKKodks/3p54G/KU7uwRIGKPbtGr5pW+6ylPazM/KS5MZ53xQAlbjLOLd0b1Z7z/6oap6zo+4V4/k+KwLFtS6eM4jkImApqy1wI4CwA7UopaxXD+BUGLxVLuh4JA8EJRlM1mO9GlH+i6dHvnkP49LW1a4I+nKIqcRxUkUUWo+O3CHywDugEAgD8TCJ2f+NpvE1/jmiY0+fjNuBbNaZquumMhEAjVEJfLtXfv3sOHDxcUFPipNmHCBHJ/IBAIBAKBcL1BBGgCoXQK8/MPLfrSsXKt0LkDnZjo/OsQ5KcVjpweYHOKY9vs/R4AynL+9QNN0zzPe8PoTNPUdZ3jOFzicDhKNrFarQihaybqmeM4zjCPdB1qui49E2Ph6g36Ta1b7VvjcrnKehdM02y+/gv3kZSUxyb77Aupmjc4uizCJz+ZPuVD/3VShr3U7tD3Ho/HNE1RFDVN8w6GZdncxWuLNu0qq631phY9/lxW1s9UUZJu2f/n7qFPKTv3+R9DWVDBQXWV42VuNQ1+0gjvv9k9hsH8Bf9tpmm8GsDYvE0feAdrKgCAABiGYVlWEASEUKnysWEYHOerLKuqSokGYligL2jZe8+628Ra/AjQLMvSNH0Jny/CdQtCyOFwJGxalXLnIOfGzc6Nm4Fl4z6bKzRqoOu6e/f+rGlzKMna8Kdlimn4l6EdDkfCpu+TO5WyPEI7mnzwtgEHAUKnPNdy+BB7CHGIJhCufVJSUl5//fWlS5fquj83Lcy4ceOIAE0gEAgEAuF6gzz9EAgXYRjGyQNJ2xYu3jX9nfNLfircezpr3oqcd5dirQ1outm6BcCXPnND26wAYGkQ2+bAD633rMKFLMv6yUjjgyAINpvNarXiQGan04kQQgiBifI37cDD8+lNFEWr1epyudzuS9dqqw8Mw0i8JW3Uy4c6Dr4c9RkA6r3/coMFM0o1gvDidDp1XfecPCO2SAgf9p8PhrVN04RtK/z3Hzyo580TRlF8OcvtkWGoHiXnk+8sFgtOnygIgiRJVqvV/ceutNmfl9VQaJnQ/Y+l/n+jClZrp1WLE3dvCHrsQbp2uP+ReGHi6gQ/+XDL7etu2PQ9U5gXSJOCh8bo/6rPdER42M9ruDatvVtlSx38ggLA16HD4VBVtdRrUlXVkrKyqqpB7nybnAPIBIDWdfjeLURBEHie98lbyPO8KIqCIIiiWFZKQwLBD7IsN9yw8sI/un72kWdPdOyT+ezL9ju7cC0aI6fr1ANPlrTRsFgsAOD98HIc53K5ak8e62dHeTPe/Suh/YbeD6YmHSo3oyaBQKi5ZGVlJSQkfP7551h9psrjao+XQCAQCAQC4SpAIqAJhAvk5ead2LQle87n7l2HyqrDWMX8nzeBelF4S/hDfWInjzIMg2GYk2NnNHh/isPh4HneYrEoioIz2vnfNc6FBQCGYTidTq/SwbIsAOhnM/PX/eU8cjKky00AoOu6xWKhaVrTNI7jcB2sQV/2ObjKCIJQsOLn5NkLK6U3raBI0zQ/YYyiKAKAM/VcxtufN/hkRvIjE3F5zKRR4Q/2SXtnkf/+m04dCwAUzyH/+QAROtBmIABkfvR142WzbO2a0zTtcrkKv1p3bvYXZTXi6tS+a9sKhmHKqlCc0NoRoa9MglcmmabpcbpO/vRr4epflC07vBWYqAimbqy1W8e43j2CY6K9hh4IocyhY2ing3Hkc2mnuBOHAEvDFOXq1F2Pra+eydSPHEfpGei12f+N7e67KIrSkpK8JW46JOTf1/Xzf8+y9rHb7aZplmp7je13S74vsixTFBVi6pPvDrOKoq7rbrdbEASLxaLrOl4EQFGUYRjncx1CXnbei2/UevC+Wvf3xW0DOVEEAgZr0Cl3DvKWuPce9IYzG5nZBcu+CxrSDxu8eJekULn5nN1+evAT2tl0vkF8rUfuD+7T3dqh7Zlhz5iOMlefKNv3HLyt/yGbNeql5xIfH0bCHgmEa4/p06cDQFBQ0OTJk7t27RobG4sf6soiwC93AoFAIBAIhGsJIkATCIAQ2vPd2pSHJ10w9CwbQ3ZmzlvmU0jznF4kn5v5Sf5Pm1r8saRo826k6Xy39qV6ZXihKMpqtVIU5di+X7glEQBM06Rp2mazHerxuKVenYRPXz3c43E1PRsA+LioRl+8cej2R4wiJ1JU2mZtvX0FwzA4jgYnuON5HoeL+t9vtUWSpBMDnlFOnr3kHpr+9jkXEZbUti8ANNu4hKkV7N+TRNM0Nel46sgpAHB8wGhc2GrvGlVTAaDg+w3+d+c+lwl1YtjaoaocqPSf8uwbljqRzb+Ze3Lg856UMo+UEvh7jv1yCT9QaZq22m0tHxgADwzwTnuUFWyFENr/4FAz6aBPF8BxoHggZU1Ze1GWfolOniz+YaHgvykWm+NYFvQBgJInHycMtFqtZb0vCCFFUXiOK5CdvxyUe7WwYmXZarXuOu1qITjV5DPhXdtLqWc02YEUNXTQvYZheDwemqb9xLkTCDabDQB0XTdNE08KOg09YcuanPlLCpZ+W7J+3idLkaJIwwbiJizL5n6yxHbXbSl3PRD+vzHZU95QT6ZmTZuTNW0OLVlRAJ7RSHZlTJ6ZNefjrns3Wq3Wyj9CAoFw9fj77795nv/hhx+6det2tcdCIBAIBAKBUE0hAjThusYwjCNb/zl8x6OX00n256uyP79guOFJSbV3usHpdPqEZBYXyARBYBC4i4oO3Pxgm6Q19pvbmIqa9/u2tIlzvPW19OwDtzzgjapTz2YeumO4d6spu/a17JN4cK3D4bDb7RzHeZ0KaqIRB0VRkmhNatcPLllDpOn49YuO9X4SuT3RsyaE9+zqdDpReY7YoiieGDXlvz7sUsvNX2PHbYvFYhaWo+PzYbUAoP57E4/18bcMvzhGbqErt3BXE3/W0rQo9M3ZdvlhkuUu8j04Y5av+gwApgk+rsocB//qa2Frv6dYNqdnH3XLtv8qCEKkc6/3P5mL9DOkkpYaPhUEQXA4HCiqQSft7OwNOSNbIHP1utTVv9/851KGq+WKCHV5PFSzBlaWDV6zGCF0DQT+EyoLhmEEhtUysymKQprG161DcZzpUSieQ5pGsWxqr2G2Lh0omomY8CRt4R0OR8iIIWFPDKNpGhlG8q33Fe8t/4uVQffcoQfbAUCWZWHoAN5qBdPUk0+JN7Zx79qPq5nOClyBZm7+H4063LJvo9Vux548lXj4BALhapGSkhIZGdmhQ4erPRACgUAgEAiE6gsRoAnXIzg9mqOwcHOfkX4MNwKHCbZHP/NQ+IO9AEA5m2GLi0YIecUFwzCwTEZRFMdxDFAHbugXM38aAOxvVUoOK4yfNd2AnR8QwmF9WKx0u908zweS/aa6YbPZCjftiJs76ey4mZfWQ/DQPql3DLf3ua3ea+M8Hk+5hgzYRxshRFtF0+m2xNdpsma+rus4eBy7mpSLPSIcAKJaNTt2aYMuDTYs5O7k367AIv3Thw9rX5djcn0BTaNEEXk8dEQEMEz+1Ok+25nEVsVVNLuarmVuzI28zWfSRdLzIpOXn2k4stRLlKZpiqJEUXS53XpMAgDY6sYPWzcjf/r+xt99ED9xlGmaLpfL26Gu6xRFkQyEhOIYhgE8f+bBp/zUcfy8EWjKc+hY5MvjxMgI7Uhy1oJlypETpTrOpw56InbBHKphvKZp2Jc/ft1X7k3bQkc+RFHUiY7lJCktHUXd1vzWG3b8Uis6CgB4niemHARCTYdlWZx992oPhEAgEAgEAqH6QgRowvUFjm81TTNly45DPUdWVrdIUXN/+B0oSHv9k7hXx8q7DgoN6wotElRVxXKbxWLhGBbpOm3htfxCAEh/8pXL2aP91htN0yzu0iCKYk10wpUkSdM08ZbE0w89fwnNKQuPFLVwyQ8A4Fj7B7w2LhAJHgvNNput5daVCCFN07DjMAAwDCOKolleJ1LndlKQHQDCImtb27d07SgRSlxxwob27vzxK0xg8vdlkjfySf8V6B53CpGR1iEP5A4eErbiKyzAIafT2LnbpyYlSQAXna7Q/J0F4TezLIs9oEVRjMzdXCvvn13t3mANnSvKKbk7rD4XSOEQxAIA7cgz7aE4Il5IiMfuNFZRBIryXuSapkmS5N9lhXC9oeq6pVED5cRJf5VMpJ46c/axcYF0mDby+dDHHhAevA9PfrjdbrHrLQXLV7PRtS99lAjtuemuFn//EFW/Hv6MsCzrtVQiEAg1jiZNmpw/f15VVcu/KRYIBAKBQCAQCD6QuBvC9YJpmtgr2TTNfQu+rET1GQBMj+I+eCJtxnzaKlhbJAT3uY1KiNM0zWKx8A633W7nWJZi6Owlq8++8uGhW4de5u74+Jj4t/9XXH3GQdblZjushjidTk3TilZv8Bw/dQnNkaKGTx4FLAsA0u03G0Y5Lt4Yu92Os+TJsizLsqIoXusSjuN0Xfcffg4AQV3be1/f9cfSqImX5eICAK1/+7TrgtevjPqMEILCorK2UgkNAcD8bYN1yAOepIPBc97yeDyKonC6nv/wY8DzPvX13//Mktr4FDY4Ma9O/l+SJNkENi5tZXDeri/Mhz9addRwOkoNML/wxtEMAFgUZzBoABDxxguhY4YdHzJOL5KPPzYp5dkZhstts9nsdjsONMPmvJdzKgjXGJqmxXw2N3jwvZXYp73n7ZIkef91u938vT1s3TrGffZ2nQ9n2u+549K6PXTrvWcOH8GvdV3HX0818R5OIBC6du2al5d39OjRqz0QAoFAIBAIhOoLEaAJ1z6maXo8Hu9v++yMjDMT3qrkfTBM3ZnjW237usXW5VyDWIZhPL9v5xBQFGWJqQ0AFE0fuv2RzPeW5n7zy+Xui6ab//SJV302DAOnbgtQe62GcG41/fWPL61t6/1rC5b+EPXOJABwbtweYOI+h8PhcDhKlew9Hg/LsmCXSm3oJeP1j39p2UMucgAARdMdX3muZ87WhC9ncfHRFT2E2DkT7sndnnDrlfOOzMvMBIRKSskYlJwCAGE/rzFdLkuL5nSdGE3TeJ7XOc765WLp62Wh337t0+Tsr2kl+wnJ39P42Oy400v2sh2fyxiWpYqTekT8ur/ASfPYOsYHwzBYzQMI8a4CjWYB4OzwKZmzl0aNfZSSxEYLZyFOODJgvMvlcjgcqqra7XaWZYl9AcEHt9sdMfbxSuww+62PEELFrzQ8d6XFRqHGDYLGj6q/ZvGl9XyixwNHf1lfvFtFUYixDIFQ45g0aZLFYhk9enRubm6lTyMhhHRdd7lceXl5mZmZmZmZ5SY/QAjJspydnZ2dne1wOPwk6UUIqaqan5+flZWVl5enKAqZBiMQCAQCgVBFkNgxwrWMYRjav/nTAKAgL297t6Hq6XOlVrZ1vqHhR9P2t65Y6BwXE9Hsp09NCnRdpy2Wwj93nH52ZvTYoZEj7sc20Ed6PaGkpl/WYRSj0fK5UqvGxUtomvZ4PDVUfbbZbBRFIYRa7FmNEHLvOHDqqWkVaC9aDrTpE7vynezJ7wBA87++qhQTEk3Tzi/+vtxq+rmsv5rd2TNtO144L0pS6/73tO5/z/Hd+w52fiSQHTVe+37z22+98hJqaFRUKgCoqr9KCOU9/kT48qWmYQCAVxTjOM7xxmyfuvqqH5Ru91j0i6Kqc6XmC87fcjTbiA/lxtxWC0+TuFVj8R8Zj91Vj2U9Jc1S7EpRPiewLFtoDQEA5WQaANg7tMJva8LcF/TcQo2iAMA0TeyjIkmS6v9ACITLw71zX3KnvvU2rNQYyudOe8GXw8IlbFnj3Lor44VXK9r5uRHPuyePaTt6hLcEIeTxeIDYQxMINYeQkJD169f37dv3pptuevjhhwcPHhwXF+fHVyfwHKQIoQ8++CAtLU2W5YKCAlmWEUKjRo3q3bt3WU2cTuenn3569OjRnJwchFBoaGi9evWeeeaZkJCQkpX37dv35ZdfZmRkOJ1Oq9UaGRl5//33d+zYMcADJxAIBAKBQAgcIkATrkFwtEhxpaAwJ3d7r5HKkZSymiQeXLu/bb+A1GeattSLqf/+FEt8DABg/VTesvv06BkUQzf+5t02+1d7UtOTOg8xChwBDpgOsjEhdu1MRrm7trZsVLwAIeR2u2uo+gwAvnpxq0at9q1JSiwzMWNxGn33gZgQf37b7nOPvoic7vqfzlBYGsoO8wkElmVFUTRNE6SAUgmZLo+h6yzHFS9s3C6xkWtfyv6DZ99a5Ph7r55b4N1E261cTETC/Jfrt23NlxGAfAWgKCphy6aUDX8AAB0cbMycBQDg8UDRfwpybu/7wtasAgD8ExqHRNE0zebkyrt8baAB4KSW2Iz6CwBMYE4E3z7/eGy+GwEYADCsQygAYE2tZYy48bjjnwPnOreMRI6C4pcuTdMIACgq3x4JAFRhHhgmYMMQAMBXi4WBi692t9tts9lqovs5oeqQZbn+j0tP9R5WiX2evnNQve8WUiFBpbrMy7IMrZs2+Hs1wzDnxk9zbd8TeM95s+btPJ9747SJPpKkBT4AACAASURBVIIUnlnhOC7AhR0EAuFqMWXKlLfeurC07pVXXnnllXKSfGiaFrh/VEpKitPprFWrVu3atVNSUgoKCvxUdrvdc+bM2b17d0RERGJiIgBkZmbu2LFj+vTps2bNEkWxeOVNmzbNnTuXYZhmzZpJkuRyuQ4dOvTGG2+MHj26e/fuZAKMQCAQCARC5UIEaMI1RUnpWVWUf16Ymf/Fav8N97Xs428zQwd1uVE5nd5wwatMRKiu6xaLRcsvzN2yG6l61tR5uBZfN/r4oOeQovnpiY0MY4JstF1iw2vVGTUouGlCRGwMTdNOWf49ppP/Qbb8Z4WPQiHLst1ux6Gg1waqqgIF4H8BKEW13rcGv9TSskJHDQpq0Zhr1bh4tPulgaUll8vl+PmvAJuUFKABK7yJrRK+eucyx1NFnNq+M2XACJ9CvmVTCI6x3dud3rbZ3L0XEModMDj0qyW0JFmtVqfTidX5ojmlH1ThhJmZ858+TLdcdog3ERR/CxECWb5wid5Q17busONsgcEZqlfGE0WRpmlEMy7B7m1lZmcDACVaaJq22Wy6rlMURdM0RVGmaVIUhQP/scEOz/M4uWhlnSJCTUexcBEvPHV+dhnePozvTEYgnB4wwtqhbczc6XIZqS9dLhfHcXXefgUATnS+N/D5sKKFX23Pzo3o17v2ja1Fm8QVu6VomqZpGpGhCYTrltdee41hGHwTmDlz5o4dO8qqiRBatmzZ7t27Q0JC3n777aCgIABwOp1Tpkw5efLkW2+9NW3atOKVFy5cSNP0c88916lTJ4ZhDMM4fvz4Sy+9tGTJknbt2oWHh1+JwyMQCAQCgXDdQARowjVCSekZIZS6e/+BHo+BfokBwkyIPerJB8KH9NYNw6sIqA5n2qS58pa9SNcBoNkvCyxvTjjzv7kAoJwqxQn3AhQV9lj/pv97IiwqsuRGXdM2315OsF74849SPIelNyxDa5pms9m82fOuDTRNa7nnh7yv1qbPXlhWnaY7vjVN052bn3Ln8PBH+seMG44zGVbKAAzDkCSJbxCrHDgWSH1d0y1i+dWqD8d+/OXsE/8rWa4ePAoAeUlHAQAoKnjsY7VaNqKsVgDAYVDYGUCYPJH7Y5Pz3fdL9nB6zILUOZ+1jDIPZFwUIlrk0XEYFXZcmdwjnGEYVVWtVqvD4bDb7YVSmAkUzkAICFG5mXlvLwq6pVnk8w9nzVmS8ck3tiF3l9wdz/MWiwWPDQt/PM/j+wCOtiZcz5imaevWqUwBOgD1mW0Qr59M9Sl0/bM3ufO9MW+/wt3QslSzZk3TKIoyj52s6GoM15pfc0ODDw8YAwB0iN1+e4fgm1rH3HunrVYtq2TFMjQWoSrULYFAuAL06tWrdu3agdcPPLiYoii73V5+PQAAUBTlwIEDLMtOnTo1ODgYF9psthdffPGJJ57YvXt3ZmZmVFQULv/5558LCwvr16/fsWNHHI7NsmyTJk3atWu3Y8eO7du3+3H5IBAIBAKBQLgEiABNqPFknE0DhGy1QjRVy8vMkg8ey/z6J+VkmpJ8BrRS1kqXiyW+TtxrY6W2zbzhxhxNp4ydoZxIVc9m+lQ+cvfIcnprWr/x25Pjbm5X1nJL0zR/v2WActxX6SiONbFp7PD+hmF4f7QghDiOUxSl1PXgNReEkNPprPVgb2vb5hTDmE6XvPdw1ryl3gpsdET67IVFK9dFPv1Qq31rXC5X5dovYMOH8OEDHKt/D6R+1tHjDdq3q8QBVCnnU8+Uqj4Xh42JDB3ST+pys37smLbsK6F3Lzo4CAAMw8ATPOIdt8EHH0GJC4+bOGH7GbVrAz4miEcA52UUZqX+PKl9ubPgqVvDZFmmKMrlcgmi6Ha7RVE0TYSzEfL52WsPFBgmuqdV8JkHJihHTwEAzbPad9+FJcbYu91olaSSGSNVVTVNk+d5nI6pePY2i8VSQzO5CYLAsiw+z6qq1lx3neoAHXxBtZE63uTcurPCzUWhzc5fjo6erOzY67Mpffw0rm6d+OUfl+qApKoq1SAuYcsax69/Zr36dvFNMe/PYCRrxktv6JnZJfcof7Ey6uURma8tNAschas2FK7acGby2wAAHCs0b2ipV0esFyu1SLA1rl+vXRuLxVLRIyIQCFVEly5dunTpcrVHAU6n88yZM3FxcXXq1CleXrt27bZt2+7atevIkSNYgEYIffXVVwBw//33F5/WYhimW7duO3bsWLVqVa9evQI0qiYQCAQCgUAIBCJAE2owBXn5f9/9qHvfkcvvqtY9XetMHsWE2L1P21mr12fOmN9657cAoGXlOjb+U6EOKcES+9HLzXt1t4jluAnv/2atf/XZ3ve2+BceB4DiS7ANw7jGYp+LoyiKUfdCkE5o6yb5a35XcSJHCuI/fkWIjED/G+XxeKrC+Rc7M4px0U22fp32zGvOPYf813cV1Rj/E4TQ/jsGllOJput/u+CCx0WbVrZOt7i/X8337eMVRt1ut8fjsXTrqmzwFeiTaiUoZ+G342qneG5L6n8B6RQgiqKsVisAWK1WhJAgCACwen9B49psTAi78ZjSIkZk3nz/xC9bACCoU9uoJwaefPbN4EbxdT96g7HbEEIsy3Ichw03vD0LgoDVZx94nq9xAjTLshaLBSGEr2qKogRB8OajI1wCCCHbbZ3YNs0jBvUFADUtI3XQqMCbq4eOHehyX9utP2kOx8F7hiD5oitNO3MuuVNf6dYO0W+85HQ6fWZH8PtIdbqx4eYf1GMpZx8fj8vTx07h68XFf/0xxTA5H30R3K9n+oRXtLP/Zal1vLcwbv7LZ5987aKhaLpn/zHP/mOF/xbsp+m4N8Z3GPs4MWklEAhe0tLSEEJ2u71kkomEhIRdu3bl5ubif51OJ3aZb9mypU/Npk2bAkBOTo7b7cZf3AQCgUAgEAiVAhGgCTUSxePZ0Hek888yjfACggJAEDbwrthpo5GuK6kZTLAt9d0v8hd9D/+qCftbBZQQzwttFRv+8EGjdokBppfRVPXsyKllDpDnouZO1DOyTzz2UszcFwRRtETX9ng8lWU3UW3xBhWKopizcKV6Lgv/22rvGlmWXYYG7qo6A7quY09tjuMaLJp1tN/Tmh9nFQDRZquikVQ6uWfTwF22LMvQFMOIbVpgq2X8FiCEKIsgT3pJP5EctvpbPOeBEBKffUYcNLBg1FPFO9hy7sKLI9l6w1A6Je+CBUGuy/QoCsswiqJwPH8uX6lt51LPy/e1CaEoOJypWFndfdswAKg/94XQXrdiBbbNtmU5P25i7DbTNE3TpGla13WfH9WappXq+yzLstVqLVWbrlZQFIV1Z9M0XS5X8dUMOL8o3lqWmC4IApGn/eByuWyTRkuShNVhx+9/15o6Pv/Vt6133ur6YytQ4HVnYkKDKZ7XM8/79IDcnj1t74j7ZsFtR7YmH0g603e4j3eH8+9/kjv1DX/qkZChA0qdD6MoypJQL/y5UTnvfopL1NNnU7oNAABr+7apg54IHzsi5P7epweM0LNzcIW8ia/FvDcp/dk3/B2baZ6dOOfsxDn1v3+/XU+SK4xAIAAApKenAwDHcSXvCXi9UWHhhWks76Ii7BNdHG9JUVFRSQE6Nzf39OnTPoX5+fkAoOs6FrWvOnpFnPcMo7oMu1zwW2YYRk0ZsB9M06zRR4EfPmv0IXgnzn0cLGsWeOTY/exqj+US8f6Q0XXdJ5qhxlGj8/F4PwUIoWr70cYSUE2/TogATahhuJzObRNn5i749hLa0iF2RrCEP9jLdCvRzzyEEMr5Z9+5EVNzv/31ssZEUUKLhg3mvVw/sVWF8kQhhH5r2v2/bniOqxst3NDc1rmtknS84Mu1TdZ8wkeFA4A9LppxeiwN4k3TrLlPCZfAuSnvFK77CwBom5WNi74Ce6RpWpIkAEAIZSz6RktN91+/3o2JV2BUlUL6nv1+tjbe/AMWOrF6q2ma3W43ixzODz4KX7c276FHHDNm2adMxiqb2+2mQ2tZhz/s+mKJtwfvo1+eG+W50f2thG+SPAAQZaeX73Y8cnOo2+1WVTUu1H4sy9Moyu50yhaLpUW0EP73pvC931ACryiKV8WTZVno1s4nwaaqqpIkud1umqZxgHCp4iwur575OUVRxFlMEUKapqmq6mc+CWvu+IKkaVrTNO8h2+127EBSbR+SqgnOfxMGBg3px3Fc2F3d3Lv213l1oq7rDMPkLV6Zv+QboJm4z95hgu2nB44saY5x9v6RabWCb/jj+4TTu4/9+vu5pyfDxec85+PFOR8vjnn7FbF9ovPi/IQul4s5m5Hz3qclB+basRcAct5fmPO+r9994ctvhI9+MOfD5eUe3al+Y09RVMJXs9vcew/DkiyFBEI1Av8Ov5LzQ3l5eQAgimJJLQZHRXhXzimKghDieb7k8LyOHKUus9uxY8fUqb5hE5GRkQDgcDiKioou9xgqgwpNP7td7moy7ACp/pPrgaDres067aVyDRwCAFTDR+WKcg0cAhR7Xq25VMXS5CsPTrtytUdROjjwiAjQBMIVwu1ybZ869/z7yyrakIsKr9Wzi5aTHz64p5TYzHC5U0a8nDX/68sfkv3uzo1eey46oUGFdGcv+7/63npjS6F1Y6Trrr93efYc1k+dkU+dkb/7BSiq1d4fKIoChI7e91TdNycKjesZhoGTUNU4e4FLw2a1nlr3F35tKmrjL96s0sdunCIPR0BjGTr6sfvDBvc61umBsppEvPA4E1ioe3VAO37Sz1aEkNflGT8DqaqaNuL50PHP5vTsAwDq1m3Fv/AkSUID+xcXoBuHwsELQZwQIjL/pBkP3RhSL4ynKErRTF3XsSLscDhirOB0agCATcwjB93ldDrNwB68nE6nJEnlGrAYhuFyuSRJMk2zWpnVMAxjmmbgj2g+17wkSTRNsyyLn7ZZlrXZbKqqXvMyNE3TNE1TFGUYxqWFV3g8HkVReJ4X2rVGponPIT/gnviH+jOGmfXaO+59Bxv8tEw9c+7M4+OR86LTjvILdyfebhvUp/WrkxOObzv4/qe5b3/i03/6+GlAUTFvv2Jp18p7yZmmiWKjEjavyZrxrmPdxsBH6166POSh3gVf/lh+VYSSH3w+xfJi86/faX7PHTU3CIhAqOkghPbt2/fTTz9t3rx5//79mZmZABAREdGmTZvOnTv37t27XbuqzRiBP/6B3yFL/RHr/5ctQqhkheoX8laBH+c1+3c8gUAgEAg1ihojnRCuZzRN2zZ1TubcLyrasM7/RkQMuxcZBsUwGfOWnXn5fcWvnUJA0FToY/0bjXkkvG7spenOAIAQ2vnqO9nvLgYA5/rNJSu02LqCoqishSuz5i1lgu3Wpg3g3yxw14v6bLO5D50Ie7B37vIfm/6+JG/1eo95icJTIAiCoGma99yapokFPv/Z51uOeayKxlMl+P1Vaeo6tnTwhtirqkqZyDxzNnTVN7QoGIZRXNtyOBzYytlLt1qugzlWABjRMTTSzmmair2kHQ4Hx3FqsdNbHMMwKrpiK8B1ANhIJEAznCuGLMs2m41l2ZJpFQMBt/LGrOm6LssywzA2m01RlGo7Y3+Z4KPD7zvLspIkefM0VigLK44f97kOcTRB8Etjo61WADAiQuN/XqbuPpA+frpPc3nl2q3f/hS/6O3E8U+7nxyeNPNdxxcrfHaQPm4qbRVjP51Nx8V44xRkWQ6b9EzUy+NOP/CkduYcBIb287qg++4oujgbKi2JprOUCRWkqIf6jT4abG/zy8KEdjVmWQaBcM2g6/qkSZPmzp3rU37+/PkNGzZs2LBh+vTpTzzxxLx584on/atcwsPD4d/oZp+5KHyrtP1rGiYIAkVROJevTxC093sEL77xoVGjRqNG+Zrp67q+aNEiURSriWe0xVJO8pWLKvN8NRl2uWBvLovFcsm/PqoDeFqdYZganUoXf8p8HoNrEDjFCH4KLXXNRE1B0zRd1/EN7WqP5RLxxtsKglCjHdVcLleNPgSvxlKd70419/QWp3r9MicQfDBNc+fHS1KffwsC852oPWKgJye/wYznFEWxWCynJryZ/t5S5KkExVbqcmPEsHsb9LzNapMu88OPENo0+Gl5/dayKljbNmOsYv7Pf2bNWwoAse+8iMtL/k64VrFYLPlrfg/pc7sl6TgApH/6dfzkJ6t0XU+pXrpWq/VAu35lNbH37ibZa4wBNADkz/vcz9bc9xZGTHiyeAlN00jTzF/X048/ik2KfZpwHBe8ZhXLso4Zs9St29DqH6DFgwAQaWedThk/1+KvcP/CKMuyFEUFrsa63W5RFMuNa8ZCbTVcDuY9M5fg4Izb+uj1hmHIssxxnCRJ18AKvpIYhuG9hIqvjKNp2mazVUpGVsMwnE6nxWIReF43TbNF44TNP5weMELPutgY2jRThz+X0apph9VL2s94UX5+9IGxk90bt1xUxeU+M/QZJjSk3vef68hUFIWiKI7jsmd/FLj6jMdkbtsi3tjCveu/VKit/1kJAOnvL2UTm6Q//Zpvi0LHnlsGH4gMb7NuQcOWzSt4DggEwiVimuYzzzyzcOEFO52uXbvecsstYWFhFEXl5ubu2rVr/fr1ALBgwQKn07l48eIqepaLjY0FAFVVS06+FhQUQDF/Z7yYBgDy8vKwbO0F+3hAafbQANCoUaNGjRr5FKampi5atEgQhGqi5FosvjkY/cBbLNVk2OWCv+x4nq+24kggeAXomnLaSwXb9dbcQ8AucHheShCEmjul4XK5DMMQRbHm/kB2Op34sdZisVTd9OQVAAvQ1S3uJ3C8gWjV+e6EJ1pq7tWOqamXCOGaByG0+8dfTw4aX6r03Py3z2jJerDTgwmLZzm27M36dGW9dZ8UvLOk4Oe/1PTsfReHjF0ClCTWXTQjKCoyokG8KFlphqmsmVWE0IbOA5TDKX7qNFw4q3DjtrOT5wIAxbPB7S7kKOc47tpwuSoXjuPOzZyfNvU9AGBjaocN73flXRSsVitN01B2fGWLNyddyfFcJmkpJ/1EQPMJ9Wo//xR+jMMlFEWJFotR5ABBybl3QNjqUlzXvVej2P8+des2us89cBKsPKWqKtZJA/yCdDgcNpstcKU4wMrYahkArFYrRVEURVUTMRp7g1R6/kCszNpsNqfTWdPdwXzweDz4udznHfSamVRKADh2a6EoSpIkfI3FffOp64+tWdNm+9RUk47+ndC+7k/LGrVudcviD/Mys/Z17AXaRfcKI68gpWs/Ojiowc/L3G63w+GwjR4eOmroqZ4PBT4k5PawOeeY2qFG9gVJaF/LPviF7aZWiQfXev+t99uC0z1G4td6Vs7uG/rtDba1/+fbug3qX8KpIBAIFWLNmjWffPIJTdP33nvv/Pnzo6KifCoUFBQ8/fTTK1asWLZs2d133z1kyJCqiNeLiYnhOC4/P9/j8diKZUhGCB0+fBj+NWsGAFEUQ0JCMjMz//nnn169ehWvuX//fgCIj4+vudGdBAKBQCAQqidEgCZUO0zT3L/+jxP3jaEYuuGC1/LX/RXcrb3QuB4fFa5knLfUDtULHEBRSNOAZZIfmYxbne75xGXul7IKwT06133xifgmjapuIc+ueYv8q88AAAiljpuJX8Z9Ow8AdF3HYXRVNKrqhqZpXFiIei6r9f61pmGYCF1hAZplWQqB/xN+4PFJt/38RU15UwqzfFOreaFEod7SeThmiqZpnudRTp5n78ETM94LH3RnrWfHaJrmR7q12+0FnyyggoM+PBUMAONui/BWZhgmQIeEChkpuFwunCaR4zh8/t1ud0ljSqw+Y6kXC+sVkrmrjqpQn73IsiyKIpSRP6pywbbpTqezqg1AsXWGqqplvYOyLLMsa7fbZVm+TPEdO2ZQFGW3291uN9OxXcKWNSfvHmI6Lt4vgjP3DM1o1ujG778Ii45qv2/jjhZdSvZmFhYld+pr73l75JTnZFl201TC5h+Sb703cNtRM6/AnlC/yK2Yjoti2+WdSV71GQC86jMAtNy6XPMoXK2gvXc/7vlxfojNXjvmSmRwJRCuW1auXAkAU6dOnTx5Ms+XEn4bEhKyZMmS9u3bjxs3bsWKFUOGDKmKYVit1nr16iUnJ6emprZo0cJbfubMmSNHjgCAt5CiqMcff/z1119fs2bNnXfe6Y2oNU1z69atADBo0KCqGCGBQCAQCITrmZodv024xkAIpe5L+j76ZsXtoUVLi41fsMG2OuOHA8CZSXP3t+p7tMfj+xP7Her28KGuww51exj0gHw5SoWJCOUbxIptm0WMHNhq81e3nf2rT+Y/XZbMrde0cdVJiif37s+a9n651ZJuvGD7YLs5MSQ+Fnv5Beh7e21gmiawTJ2XRyOEPIpyZdRniqJYluU4zm6zWRiWZpkDbfr4qe/avk8uKLwCA6sUjMwyBWjk9iinzvA8b7PZmPTs03c+cLr/iMzX3g19dYL512Y9OZk+l2632xmGsdvtPp8Ou93ueGuufiK5oNHNj7KnptwdSVEUz/PYc8AwjACVVsMwAl93ZpomwzA0TbtcLqfTiQN+LRaL3W632Ww2m81qtfI8z/M83ur94GiaVhVLw7w7tdlsFoulVPWhOLIsXzjbVbPm0e12K4pSPPyt6nA4HBRFiaKIo4Y5jqu6dWGlJr/ygtOHVtYacCx5e1atEzne7XbH/7Q0dsEcKPHVoB05sa1ppz3vfWKVpJCxj5fVm2PdxuROfZljJ0VRlJ3OOh/MDGQMlpvasLHRwDJa8qmQzs0pMdBoxIMdHzx2+/CDbfsrZzMAoEB2/LPwS7moKMDmBAKhohw4cCAiImLkyJF+7v8syw4bNqx+/fpHjhypokk7juO6dOmCEHr99deTkpJM0zRN8+TJkzNnzkQI9e/fPyQkxFu5ffv2devWzczMXL58ucPhwHNvq1evxsfSunXrqhghgUAgEAiE65kK2G4SCFVKbmbW9ofGMWHByrHTypGTlds5xXNMrSCpY2L4XV0iu3WoFVn7yttdmab5S92OpeaPKouW/3yrIBMhdP1IzwAgSRJCiGEYWZYvzSe3otA0bbVac1f8XLB+c73ZkzSRF0XxSPfhWnau/4Yd9qyJqB9f1cOrFI7s3nOu76OB12diIoNdWfi1+Mgw6YFBAFAy1hX7ZLm2bJJubG1wwfCvcoeT5BT39PAPx3EWiyXw8GT8I19V1ZKbsNuGaZoWi6Vk2kNsfInDaQPcl38kScILFLwl+HLCEeX48FmW9WZELF6TZVmGYaouragkSaqqCoKAlQXv8CpL+7BYLLquF3+L8cQDx3FVZEVNUZQgCOXOSJV8Uy4NQRBy3/iAtooR40Y5XS6r1Zrz3sLCb9aWUpVlG/+45Oysee5N2/x0SNukuAVz+PjYE536+k8KCgDhr01s8+hDAKCqqpyXr5hG4fZ9p156VzuXVdEDCe13Z/5PmyKfHdZx+ni2JjsMEgjVE0EQYmJikpOT/c/AIYTatWuXlJTkdrsDnw3duXPnG2+8gV9joyGapvFDbHBw8FtvvVXcxBkh9OGHH/7222/4qxD+nbpr06bNq6++6jOFfPDgwRdffBGK+WXhb4cZM2a0atUq8GiM1NTUAQMGrF69GptQX3XOfvfr3wPHBli549fv1Bt8T5WOp7IwDCM/P99ut9doD+icnBwA4Hm+VJPxmkJRURFCKDg4+GoP5BJBCBUWFuLVh7Vq1arRHtAejyckJKTmuuI6nU78WBscHFyjPaBzcnJCQkJqtAd0YWEhVO+7k9vtvvXWWxctWlSjJ4lr6iVCuJZQVfXPxycWrFhXud2GDr8v7qF7I1s1tVSP9L5px04EqD6HjRlaZ8RghJCu6yJn0XXdNE2e568TA2gsXdlsNpyjuap3Z7VaDcNISuwLAC13fe/0uG2CgBAqV30GAKYiiW6uLo3atA48/VnwxKeYBfPxaya2Dj+gH44txaHNzL+W6Agh/dhxlXLxHTrJiiJZaK8BgsvlstvtAe4OTzkghGw2GzYyLlchxW4MpYrI3jjZUvVHfHVhZTbA4flBEARVVX2sh7ExMc/zOBRXVVWWZV0uF55NkSTJNE1N0wRBMAyjSm9NTqcTPwhi12kAoChKURScLjxAjRhL9rqu4/el+FuDZxp4nvcqwgghVVX9eGVcJgFOmTudTpyf0OVyXY7a7vF4Qv832v3bpuTO99Zb9ZmHpm1PDA1/cljq0Gf0jIuXFOj68buHcC2b0EE2s6jMA+diopBpIsOMnP58SWtpH3JefksfNphlWZ7nQ6MiASC6f0yTfj0Lc3IPv/d5zvvLAj+QvO83AEDm7EWr3lncYs3HLe7sGnhbAoFQLgzD+F+igcF1KiqU4K8MnxJ8ZytpfE9R1MiRI5s0abJt27akpCSEUNOmTW+66aY777yz5NdNy5Yt582b9+uvv+7duzc9PT0yMjIxMbFHjx4JCQkVGiGBQCAQCARCIBABmnCV2blk5aknpoFRORF5Utcba48a3KDrzaLNVt3mQk+9Mi/AmtEP98cRiziWkGVZj8dznajPXi5fvcJBuMV/cWEzE03TsOED1lKP9h6lpWUCy7Tascrpdtkk6WD7AUgNKJtZUO2IyxzkFYNlWTrYbhaWcxWxsdEh7RqZn36M/7UOf9g6+H6EkCRJhU+PMTIyaZvNLCoCmgZVpVo2Fx8b0jI2+YjR3DRNh8OB0/1hZbPc1ILYJQMhVFwJpWlaFEWKonzKffDGdl0aTqfTbrd7tQCPx1PR/HVY/mYYpqw5ElVV8dQR1nwBANfEByUIwpVxo8bGFN79YvDB2mw2j8fj3327eB18zn3eU+xNX/KNxssXsA0LjsLGN2QsmrhcrkCkZFEUFUXxUZDdbncgI8fTADgx+uWEYyuKwnS7peGdXVJuH1hr+OCQxx5wut11ln9M5RWc7u/ruaEdPFZOb8dTzjw0OnrWi0Hdu2TPsU1x4AAAIABJREFUfA8p5cyCpBw63KTNRTEOFEWFRIR3nPGCMX3cuaQjJ99eVPTDxgocj24cumfU0fCQG//6Kj6hYQUaEgiEsklISMjIyMjKyoqJifFTLT8/v7CwsF69ehX6/urQocOaNWsCr2+xWLp37969e/dAKsfHx48aNSrwzgkEAoFAIBAuGSJAE64OCKGUpIN7brq/3GXI5UBTwf27R48Z2rB1y+q8gAghJG/0tzS7ODTPYW1F0zS8zk4QhOvKA/oy4TiOyik42utCkp/W+9ciTT8+8Bnl9DkACL7jlqK/diKtmHrFMK12fS/LMg7abf7nskMdBwND+58XCRv9UM1aZ9Ry3fIDHXv7q8GytXp2NL757sK/NM3dkOj+db3z3ffx1vmj5zcIpac2/w0AKAAEcE6oncK0Vv8VH3Gcr81mc7vdOBWeH1RVxTbNxQtN08TqJMdx2MW4VKFWkqTLnJIp3lwQBPxB03U98KB7LC5brVaXy1VWBSgjaPcKhPaXiyzLOEy4LDHXbrcXP0tYr5dlGb8veJIAu52U2r+iKN4gdB/FGc89gN95JixqsyyLZzWwExEOtdZ1Hbt/lHuMuL7NZsNG4eXWLxWEkFNTE7asSenav2DlmobrV8iyDJKYsGVNwderc+YtqmiHGZNnRr89vaSjdEkyn3mxyd8/lrqJYdm6bVvVXfoOAJxPzzgxb0nOR8sD/D41cgr+aX7P/laNu/+9QqwMy2wC4TqnTZs2SUlJM2fO/OCDD/xUmzt3bmpqat++fatbhASBQCAQCATCFYA8ABGuAk6HvKZdnz03Dqyo+kwJFj4+JqTfnc1++6x90treBXv7Fuzrumh247ZtqrP6DACmaV6keJYHPhxRFA1FxZEyVZSy5nKonr+gLBZL3odfHus1kvpXHU4e+rwOKParua32rQGGKfx9W/H3ggmxt96zWpZlQRAuRHqKQuv9a1vv+YG2S3521HzciCo9kEqndnxc1NvT/FSInPvif+ozAJhm4djxzvc/YLp0sn701iej5z/QLqRuCHvc+mC2pYNCByfbHspVg300REVRZFnGseflBnmZplnyKsJCoaZpuGecWpCiKJqmcSCtn7jjS8Pj8ciyLMuyoiiSJJUrneNB6rouy3JZ6nONAIcJsyxrs9nwecZvhyAIdru9rHsOPlcOhwP/dTqd5Z4EH/FXVVXciSRJkiT5XCrYRBu/xicZ70vTNJzpkWXZCgU1e7M+4lyRl/ZlIcty/T++lTremNypL5t6jmVZWZa5Pt0bbV1radSgor1ljJ/ecMNKLq6O/2r6qbPJu/aU21tETHTHWf/rW7ivS+qfsW+OZyPDAhmDJ+n42pC2Wz5dQqY2CYTLZODAgdh8eciQITt37vTxqfd4PPv27Rs5cuSsWbNM0xw0aFB18IUjEAgEAoFAuMLUpPA9wjWArus73luYNvmdAOtTkmjrmFhn5KCgpg1DY6L9pBev/lCigNwBqWamaSKE7HY7FmgAACflq+IBVgyapi0WS/UxBmFZVhTFgl/+dhpGzPjHosY9ahgGwzAnBo5xJR3LfmtB9PjHEUINP5uZMvx/3lZcdO1mv3yGxSysadrtdsMwPB6PxWKxNKzr3nek9N3FRASHhV6ZQ6tEWg7uD4qaOXlWyU3BYx/Tpr363/9WKz/w3vDuTSOFswLIAHveCq//V17zTo1CKIpKd0Vl0jFQdo5BbAQMAFg7NgyjVI3S5XJhP2L8c51lWcMwvGKlxWLBgavYl0NRFI/Hg99owzACCYCtKAghl8uFI3z9g6+ua0O5K67mC4LAsixFURX6aF/y9Bj+6OEbO55awBdDqVeLruuXbF1SPBwbx60DgNvtrlBYtMvlCn3pWVvXW9JGvVD7xbGWO29FCHmOJkfPnMTViU4dOlo9eSbw3pK79qvz7YJz/Xx9PHw499zUhM2lB0GXJKRWrRueegSeekTX9byMTMfJM+cWr9YLivB6Bff+o8b5fN/+n3l91YTZN6z/vOHNNwY+eAKBUJzevXu/+uqrU6dOXb58+XfffScIQnx8/A033EDT9L59+1JSUry3oAkTJgwePPhqj5dAIBAIBALhKkAEaMKVI2Xnnr09R5hFpUSuMbWCgu6+lQ6xA0JAUVL92PCON4TUi7NV1ySkFYVhmMbL5h4bMDqQysmDnk1Y+Z7D4cCxgf7NcCvKJa9D94GiKLyO3mtxe7WgaVrkeFfSMZTY3Hp7B1VVHf9KVIIghD1wT/rr83NXrstd6Zvlsvkfy9jQYB+hDf9rt9tVp8tSJ6osAdre5aYqOJQrQcuHH4i+67aDg5/QTpwqXs7+swVfGUyvnnUGJ8aIpylAAEcM4NKEO9xspK4bHWPSCg0by7LYDyGQ3WG50OuiULIC1pRx+kGWZbFfMELINE1VVXET7MuBBUqsUFdd3HGAH5DAz0DNwuPxWK1WRVGqKItgqQSeEBLPWFxm/Lv3+sF3sAq5c6iqytzSLvqNlzImvV7rzLmQUUNRw/jsybM8+w/VeX8GGxF2qu8jgY7DMOXF34rtWrt3H/BTSz991umQJXv5kyLFYVm2dlxs7bjYhl07Fi/3eDyFmdmnvviu8Mc/leOncSFS1N1dHjrS+YZbv/s4uFZIhXZEIBAAgKbpiRMnWq3WN9988/z586qqJiUlJSUlFa8TGho6YcKE5557rnquHiMQCAQCgUCoaogATbgSOGX59zuHevb8p+VZWjQMfahPeGLziFbNBKvIctxVHN6V4dyHS8utY+16k9SlfVT/HrrssgfZkWlCZaTjqwqwGyxN095gbYvFoigKlnJwHGWVjtwbWgtuD8WxVNP6sssJADi1oGEYVqvVk3Q8/fX5pTbn4qLZ0GCfdbIYvDaWl6yFv28ta+91n3usko7jKhAWGdn1z9VyYeGxpSsL5y818wtrfzTD+Ohj21tTGtXLECgnwAVtGgEcs/RjGVZ2yACg0BGmWcoZKxd8nZS1VRAEPMWCZzI0TWMYhmGY4jHOPM9bLBaXy4VnZXieL6laiqKIY6gpivJ4PJcsEOu6Xm50M5ZoXS5XNfTGuRy8B+XNIlit7j/4bLMsWynx7zhOH/u6FJ/SwB4gXstpHwzD4Non0jYpf9l3hT+ur7/685jZL6ePm3b28fEVHUDh6nVMZPmJTE+vWtvikQcr2nmpCIIg1KsbOX0cTB+n67qryHHyxw25K9Y5/97t2rzn18gOcW9MuGU8yUhGIFQYi8UyYcKEESNGfPTRRwsWLHC73bquI4Twqp3hw4ePGTMmNLTmLZwiEAgEAoFAqCyIAE2ocg7t2+9My4h86UmapmJaNA0OC2VY9jr0vxMaxMkbt5e6iatXJ2LKU+ljZ8kbdzZ892XZKQMFjGn6yCLVEKwHORwOjuMURaEoCoey4hDFKg2ixMnQaJqWkQn/7kWSJJqmC9ZvCeneCQBSHplYvInXBSVs8D21XxhRPPYZK6RYJPVaACOljMBMiopJqLDra3XDFhzc7pmRaPQIRVH45AXCO7dSkOxThwKI1bdnsp3x7MIli61+5EKe5z0ej488bZqm1WrlOE7XdY7jsBSIFWd8RQmCgN9r9C80TWPRGSGkaRrHcaIoXsLlh80ZArHXwFdghfIW1gi87zJeMy6KIvb/KStX4RXG4/HYbDavBQpOBIrnwy65Q5yMEfeAV3XIsozvZqV2q2laxPNPZU2fYxYUpXQbYL/7tjrvvpr3+de5C76s6N6NnLyQIf0KvvreT53z8xZBJQnQxWFZNii0VuLD98PD9yO86MA03bLzyI7dUQn1axGljECoOMHBwZMnT37hhRewOT5CyOtcf7WHRiAQCAQCgXCVIc9DhCoEIaQoSsOmTaBpk6s9lquPY/NunxJaskZ/PD3t4clKyrm0R6cAQMTD93kUD8MwVqsVIVR9HJbLRdM0APAZM1boqkKDpmlakiRN03D6Mq98ecFStlNbQ3Ye6vSAt36jr9+11I872GEA/lfq0AaKZDh++v/snXdgFGX+xr/v9LbpCSGEEhI6CIgoYFdEbKhnwY54trOc5Xe2s5wFy3H2XvCsZztAxYaAiid2ASlSkhAgtPS2Mzt95vfHC8uy2d1sICEheT9/bWbemXmnbvZ5n3m+fGEfiucQTdOyFG6M0xUoiopXJDPtnMmdLZJ7r0EICYJAUXa8EaEUtzxFewcA1ovnUAynqmprU1ywZ1lRlHDJQYSQ53nhE4cL+kUtYpomVpybB7xIkpQgvRdfGPjaaG1MM06fSH4RfG2zLMuybCcfK0qS5vds2AXMsuz+zOVIAFaH8QWAh0Zgl/99756Z2PHNcRxeJ14hFrUDgUDMdcrHHwEPPgW2DQDB+d+wvXJTp52bfunUzedcYW+vbN7+8OIffzljmr2mOHqG6wYXfYdkydfiXj9uRdX29cV5gwbuxa4lCUII0TRF04H0tEB6GgDgSJxuOFRMIOw7DMOkpqampqZ2dEcIBAKBQCAQOhEkhozQXti23bHRwJ2NQz59NfxZOmJM5i2XO02hLRfe6u9Su+TRQ3r+bbrjOPjt784g9Ow7uI5i2yYeyrKMDxH+E8t/4bkcx0mStOHS28WhRXgKnZ5qV9asHnd29rQ/pV9xLgCU3/zw2uMu2Xj1PesmTdfB8wXOsx0AWH/mNb7nYUdt8VnXxevAyJl3tOHudAYq2YNbbDPQmN1Xm6coSqvEd0EQTNNUVVVV1VAoZNu24zimaWqahi3z2CbWfMEEucCJAz00TZNlmaZpy7KwmxVPZ1mW5/nEXaVpWhSEQCCQ9P4B7HrWYes0RpIknucRQgeKhKcoiqIoLMsyDIMrcDZvY9s2lqc7w+hL+AIIf8vouh4MBnmeT6aGZEwsy7JtO+rCC5usowiFQn3ffDr8Z92r7277882+7/f8z3MF895AkhjZmD94RFpGxqT/fTLyl/lM3/yoVblVNb1fmpm4b2snn7+fM8dd192Xlx4IBAKBQCAQCAQCIRIiQBPaHt/39yWAtavC8RyShMybLuVGD1O/XVr9yKzIucLAfgPemomVuGAw2DXclJhQKJRY+EsSnucDgYAsyzjxQNd1wzB0XWdZFvuvMZZlWdsqB85+xqlrAAAk8G5947ZHXhqx7KOeN0+vf+WDyHXKR4xBNO2roapX3l897hyzbIv6y0qKoioffdXcUB6zG71feSDQ5WxNKX3Gt+hqRuAzvob8VhiEaZpGCEW6m7Gvmed57FPGgibP81jjw9m7ifXfncHfCdE0DeeomKYpyzLuCcuyuOhc806KoqgoSuUrc4wdlYii9mLsBydCYAE3PT190KBBw4YN69Onz+DBg3Nycjq/Bm3bdigUchzH8zyGYRKMHWKncPPD2OGwLCtJEsdxnue1dgghAfjxFfMM+rnZKVNODP9plWzcOPkCjuPcgFy06IOixXOB3vkvlrlsVdXmcgDI718w6bdFA+e+Glao6bweAOCHWopWt53KdevbYodah2VZ4WR/AoFAIBAIBAKBQNhrSAQHoY2xLIt4pmIiyTKwfPWjrzefxfbMHjz3ma76Ox/n8+7LGiRJwnHYWBdTFEXTNHysKIqKSm+gKMrTDQAYPP/f+D39sivuLHh5hg9Q/UZ00Kr23W++5609+sLwlI1X3Z2gJ+LYESPPnrIv+9KpaGwKpgQUhBDP85vQuAI/dkZ5GAq8/tqHm6STQw6fwKEcBhvVKYryPA+Hg2PhMpwSDrtSLAKBgGmaNE1jvQ+nPYTPMgBQFEXTtO/7giAkIxDjMQlZlvEitA/rzv3b0DlPMAxj2zZFUVjFlmVZX1268s/3eE1axoUn1z/3eu4Dt+7dbYjN/hkZGdnZO8vKZWVlAUBeXl7nH1LCSj0+4C1GWuu6LstyMhfAfgO/ZrEX+TDJoGlazOwRy7Kyb72mad6X4Smequ14elbOtKmubuy4e+aA7z4uO/Vit64BAH49dPLE8uVYyx5w1BH9Ny5d9sobVXf9091emXLe6VXPvAotsenhZ/LefqFtdy0ZcJQWy7KdwflOIHQGfN9fvXo1/jxixAgAqKioqK6uTn4Nw4cP7/wDkwQCgUAgEAhtCxGgCW2G53mdSpLobCy55i63rjHGDIYeuuDVAyjueS/ANeX2QoPDcdiRupIsy7iwD/4Tz41cRJIkt18vq6LGqa4VBhdqP68onPUQAPi+nzPtzIrH/x3ZmC3ID365JMnOUIp09Oevt3YXOi2Llpd8XwUIfIWBkVn0wKzBduMyFlq4hSlwU9xyixmSzM2OT5yiKAghXdcZhvE8D+d0Nye8Qo7j8O2AzcumaQqC4LquYRiyLIcjiRPjui6uYajrOs/z5fe9GFpduvSgs/h+ebQsioW98+/9C17VuvNv9R0X8Rws/1WtrEYzbotMFU8eHEceVp/DYOm8tWvr5MTTZDsKHO3SfgN4eHSh+aUbCoWybri85qlZAJD55H2y26TRKQ3f/ST16SUfPb7kyNOzb7qq+tEXAABc96uB407evBwvSNP02KsvMy+94Mdrb804+1T/jJM2n3d14j7oi39Qm5qUlJS2370kwEe4Td5lIRAOdHzfHzVqFDZb4MfOE088MXNmC0E6keCM9fbqH4FAIBAIBEKnhPz3Q2gbWjTNdXN+euS5+v98GnPWyOUfdh4dp53Qdb21L8VjS6PneZHSfPOCYNhDhBVDvIjrupZluTIvZhWati2NHwUAnmX/MWGqH5HUgcl/45GNR12UZJeO/mNB1/jFaJjmvxZv9gABgA8o6MCSCm9JhQowBQBGpzkDZHUk9RWC2HJelrWiXhmezIbCgiA+a1FedQyWpy3bxldIZEHCsN6H06JxUbgkdU/XdXFLjuO0lcU1sxcCgG9axvpNA175hzR+JFafNU07ePWHq0+6pvC5v7uaWv/4S5G26+TBnR84MLpMnGma+NmYQNTGR6Cd3LvJg2/S5EfCfN/fO6W+zeE4Dmdtt2vVgdgpHL6vHDkOC9C1N/5Dfu7OwnlPA0DDkY/mffSv9EXv8bNfNG+4vOmpWQDga6HSP1YVDRuxu+c8P/rxB7Zv2RqMsFEn4NejTj/292/aZn9aD3bHcxzXtpn+BMKBSGZmZuTbfrIsZ2ZmdmB/CAQCgUAgEDo/XUFMIXQs+P3cju5F58X3/Z//+XzVQy83n8Xl5Qz5claXV58xyQtVFEWJokhRlGVZvu/j0AYc7RpTHQsEAnZVrbZinXPQICY7g6IoLEMbhiGKot+kbp31Qd3b85ovSKelWBu3JdUnmjp05edySpsFy3YghmE8+r9yrD7HZHkDs7wh7QM4CwAGB9wiKTSS/UlEQQp2/tj2gHJdl+f5ZG58hmFaPPWNYror+HJjJc/zWOQKBALhpRBCnudRFGXbdvIaNG4piqKu6ykjBvJDCsy1G/GsDTfOzL7w5PwbLlb1EACoqjr8i+dt2xbZfPnfj8czaLdIpPps2/aOHTuys7PXr1+Psz5omo6KrpZlGSFkWRbeF4ZhBEEwDCOmTN9+4NsNAHDtzSRPKwBomoazcfCYged5ruvilbRzl4FhGJZlDcPA28LJLe23OUEQsOQaU6BneuaEP5ff+M+UK4+USlemPfW3hhsfB5rVz7+hZ9XWQRvy6o883UjNTX3oqg1jJ/a99m5mV93UysrKrB45A2+74YcdVU3vRmcEReHV1Jmm2bE2ZPymQrxcbAKhO4AQWrp0aeSUv/71r9OnT09+DV3vtRgCgUAgEAiEFiECNGGfIInPLfLD7Q/XvvB+8+mBI8b0e+7ubqI+R1WiiwfLsjzP67oelpPCYlZk4AN2RtM0jf3Iqyec2/+lBwLHjQuFQq5p7qwF53oNi34ou+epBJvLe/3hLWdd32KvqBRl3K8fZuTktNiy8+P7/lu/bHb9ZA2M64L0umDgUzgBAA7Psk8RPwYAje7lum6SMqXjOFjfjAdCCFjOMUxfVDzXwoJmVFIHQkgUxbDf1jAMRVEsy0psevV9X9d1RVFqZi80124MTBrP9sque22ep+mVL8+xtlblzriW53lna9XSsReC78tHjJL02t5vP2vb9j6mCeFqhI2NjaIoYkt188KJ2PUc/tNxHFVVaZpWFMU0TbuZW7+dYFkWIRQKhfbiSR4l+9I0jc3Iuq63axFaiqJM08TboiiqvfOLaJo2TTPeE8yyLLZvvr15KwCA7fzx6g9Dp4+Ty1anPXkzAAQvuFnrM8i69Tlha2nanBcAIOXXRbVX/A/ufqVH4QB8PWdmZlIUdeQzj1Td/tcV511prS1J0JkdG8r6DR3S5vvYWkgqNKE7gxDq3bt35JS0tLS0tLSO6g+BQCAQCATCAQERoAl7CTE+t4jrut9dfHPTp4ubz8qedmbOjRd38rpkbYgkSYmNpRRFSZJkGEaLijzHcdgAuO2ZtyAzTZ09f/gPH2iahovXNb7/hVNd27zYYHOQKPi2A24Lolv69LPGP3pXl3nlvLh8x3Z9L/fl+xo2O3fioewim0pplT6Lq1DiOoQAYNt25KPDNE3k+7ylNYopyPfSmioDgYCmadgOHF5DpDyKtVqKomRZTvwUoihq9eSrjY3bACC44Ee2dy4wNDguADQtWd5ze83297+seusT3Fhb8juTCRuOOD1w4jE97rm5VSqw7/tNTU0pEfm8WVlZGzZscF03Xk5FTInWdd2wDL1/RqdM0wxXINzHVbmui3eKZVlJkhzHCZuU2xbLsnCNyv3zHaRpGs/zDMPETJpyHEc6eEQjFqABfMPcxvUfCDsLlAXeeZw6/BTt6DPqM3uFrv8XB7702ev8yh/hnmnFd74CDMvuskIDQE6vvIn/+6Tkf9+XnH81WLGvveDvf0AnEKBhVyo0x3HECk0gEAgEAoFAIBBapIuoKoT9jOM4RH1OTGNt3fwBx8VUn/s+emvm9Rd0n9RshFBiOyTP8zzPq6qa2CUtimIgEEAIbX7wxd9HTGGGFdX+8+XUiRPCle42nX/zjkdnNVefh/8yJ2vamVETez5z1/bL70rUqxEDD/l57oTH7u4y6rPv+x8Vt6BpMgmlpI8rUjVI1ZherVIVcRSGLMtqILspraeZkadEBILbtp0SrGJFUaCANkNqIAcAsLc9MmoAVyCMXK3nefi8Y3EwPF1RFI7jJEkKBAIURXn27ovK3lKRdsZx+LPbpK459bqw+gwAVMrO9Qe/XFx6+JS6+5+I2mLifSwvL9+2bXeiC8dxgwcPTk1NjbeIruuSJMWchWVoWZZx/sx+wDTNxEb1VmHbdjAY1HVdluVIgbUNUVVVEIQ27HNi8GhEzOvB87zsv/0lcor25XeRf8rff5Y29wWWZU3TDJpW9aSLqu+cVX/3q8CwAJCXl0dRVGVlJW6MEBp49BGTNi3LuGWPdYYRh0XnjHcgeBy6Xd3uBAKBQCAQCAQCoWtAHNCEVtN9lNO9ZtOK1SuPvgi8GCLd8O/eNjlmv71f3xlobn/GTljsDMWv/7coYQQCgdXHTnOq6/CfadPPrLz5YQBQLjldluUdT71R9vqcODXzYPWhZzWfyBXke41B6chDQt/9FjUr7dIzR9//f5KidDFnn2XZhpdoj6YN5izT5Hje94FCCMA3XVhd5/YQUaZILdlm15jwas0JJ/XjAOIK2TgrwzCMsGdZEATPc7T0fKAoVLHRyy1oSukhWhYexPJ9PxgM0qFQQJKCKT0M262UslKNrVhTZlkWG4EFQYi5OTwXIcQwDMdxOPoZdmW2MAyz/enH1u4w8gIwKODm1e1AAtcwe2HMVTEZqRDcfaFqi38oO+7swoUfAEMDQIvFCU3TjLrO8WvalmU1NDTEXCTx2IamaQzDhG8WiEikaXNztOM4OOcE12ZsK1RV5Xk+0szehmCBu81XGw/XdfEWm1vFbdumFNlTd06315Wqxx6jlK0KN+DWLRMnhxyaw17+8EHmeX7Txo3pGRlR1U1Zjht/243qNX9eMv5kt6IqclbRyIPaft/2Ddu2Xdfdb4MlBAKBQCAQCAQC4UCECNCEVuC6brdSTvcC3/dXfvj55kv/HmMeQ49cOlcNadCdUrNlWY6StBiGaVXgLEKIrW36ffwF4Sl0j8zgnPng+wBQdvj5e9exTcdfmnn1eeMfvgMAcFAARVEdUt3L933PdQEAIUS1Z6ZqfVPcqNyzClnWNTVVBYCoe3yQCADg6jAhE+0STBGO1Gi+noCi9Nfm0GA6SNgqn2ChAEIo2/g5zSn9rWkaH6oc4c+v2j6gPPdUhhci36JwXde1beT7AuUbPtWY0VsymgKeCQC4LB7DMLZt4+AFRVFw7G+4ICGug9fcQV9aD79tMQCgpB5K6mkK5c8aumDCj38CABWyqtihIU9G4A52v6bBAQATpKUL6Ian38CL+5ZdevSZOU88mHLoiEifdbx0DlxCMEpMLCwsLC4ujplTjHNjErxNgsNGmk+XZTkUCiXvQ8fVAj3PSxD7Y9s2z/Mcx+1j/nUU+Ny1R6IIjmZu23UmBmvHgiBgW3f4nLIsG1afMdtzDh4YIUCrf7rKT82Qd42OhDFN07IsRFH+0v+lT70sakBCCQQmr/5u3W9LN5w2DTr3N6/neYZhkMqEhG7Lxo0bI9+ASUxKSkrfvn1TUlLI/UIgEAgEAqFbQQRoQlL4vm9ZVnukeXYxlr/1363XPRhjBkOPXP5hNyk5GEaW5UgnLEIIq3itOg4Sx6885arIKelTT6x77p197BuVGjj0gVvw53ju2nbF9/3aLdtX/ePp+ve/hF13Fj+4YNgr9/Udc1B7/C6taYorPiLPbXFIIFxJLxgM4pBf27ax6Tg8osD4WpOfToOdArX9Qp9ELn6I9gYAqHTvRvFQ1tQo34sSJQ3DCASrmlJzhcYaQ84IiamMVsN6DsdxHMdhqQ7nPgeDQVypj6bpxLEtWfLu7ziehutGN2GhGQAUqFHs/0W15yE0YRKYky5avpCqe+pNAOCvPQkTAAAgAElEQVQOHV06/U7woee15+decx52v1IUhTvAsiwudYgXt217w4YNRUVFUcXZBg4cuGXLFsMwDMOIlHc9z8PJDOEpkiQlk2mgaZooihRFJQhuxtZp3D2KovChxkvZto1fPqBpGiFEUVS4ImIyxUJbC5bRZVlGCCGEPM9zXddxHHzNYGXc9/3Wfr8wDLOfwx8CgQA+bgBQevy5BV++gyXjHXc8FNWy4b7HvSn5lLnzwlDmvtTQb0gQdl4V4VhwSZKUb+bwv36FLLPm89f9GW/16FsQtarBh4wZuG3lr/98quaxF5WzT23XHdxHSGVCQrflxRdfnDlzZqsWGTp06LRp0y655JLc3Nx26hWBQCAQCARCp4II0ISWIfUGk6T0h19iq88Agz98tlupzyzL8jyv67rruliSYBgGFyVr1XoCgUDp9Gg7OdpnnzKdlX70sk9ppsMegLU7KpZO/7v67dKo6ea6jcuOvGT9uBF9rruAS0sR83NzCvsxbdRPiWcBYh//lTXO4flyTJduTGzbxhZg/GSQZRnLiA5F/WvrEQjguvxlPVFZ1FIe0FvYCa5puj7VKGewocYoDTqkaTJdqwXSBcd0dSMopPk0AwC8Y6ZBo23b4dBkTdPw5wSRETzPL9u888F1WC+4stdCBpKykfIQGncC6JOmr1+bWreqGr5cDgA7nnu34eufC9+daVmW53mqqnIcFwqFEEKCIITfDlFVtaSkZMCAAVEyXO/evQFg/fr1lmXhtBBsRjYMg6ZpLKRSFEXTNMuyoihGlWpsjq7rWGKOR9jvTNO053l4KwkOF85TxrdtMkeptURp5XhnAcBxHJqm8SPCdd14j4jw8FVYvTVNsz3k8sRYloW76ut62VHRyfKRbDz28sL5z4T/ZIt/F0cewTAMeK7w3afGhJMsH0zTTKmtQJYJAMjz0N8v3Dh2Ys+rbhfEPcLBKYo67I6b6q+4WNiPkSN7B65M2CGvkhAIBxZr1qy57bbbZsyYUVJS0qNHj47uDoFAIBAIBEK7QwRoQgvEfLGd0Jzayqo1J10Rc1bKMYdCz6xO/g5124KLCmKJ0DCMvU5u8X2/6LWHfh9+WuREa9P2fekb06vHMb98LEj7qXxZc4qX/Lz6hCsTNNB+WrX2pzvCf6b96fjxr8wQ4xSsS56c9BSA2BJzeYg6HEBRFNu2GYaJjKlNhrC2qCgBAPABXq8YfWvuJhrt4aqmwKUoynXdPtp3m1L/ZKdm2wApsAMPVACA53lmU0OKazue5/OSztDQVGNIaSbN/TH5isH/fRJbrQOBgGVZuq57noczXprbtxVFQQgdVcTKtDkp/fdMv7x5t6vFsY38ANq3aN8y6YyChvcZf/dei37jqMGNMBiscy6sg17rv6zbcf8sp3QL9NmpFGAvs+/7hmFIksSyrK7rvu9rmlZSUtKvX7/mznqWZQOBgCiKoVBIEASKokKhEFbhRVF0XTdyDCBm3HDUYcdG7Ob3lxKRYO66boLkjTDYKL3fUpU9zwufNfwtY5omzqGmaRqPeuI8Eyxo0jSdzF60H1juxwI0nZXX+/vPqm67z1zyS7z2tTfdWzg5G/yd+8j/9jWzfWPotOkeIKdn37R/XgMIGeMna1P/yt136e6t/Lqoadniiqvv7zfhmKgVpmdl4cGPNt+1tgXfESSOg9CtuOGGG8aNG3fZZZfpun7OOecceuihAwcOzMzMRAjV1taWlpYuW7bs3XffpSjq+eefHzBgwObNm5csWfLCCy8Eg8Hzzz9//vz5JEWdQCAQCARCl4cI0IREmKZJYjeS5NdTrohdBI+m+j19Z2IhqUsiCMK+CEZhBc2pb4ya5VTX7/Vqc+//68HXTk9c/K1dWTP/m3Vn3tiqRRrmfvXF3K9yb7xo/EN/2xdNR5ZEAMjmvQGyLTFeDl3TEzZL0MSASSN3jXm24zhY+JNlOWzLTR5FUeaW7TTtBh30rXXycfynHlC/By72hIBYVzrEXUBRFMdxWfambRWlds8BANCUmpsClZqm4keN53lqMAgACkK6mArpOYLvwY7N9taKjXc/WfTYbcGQHvlOhqZpWKiVJCmchhEIBMKq6yEFaRn1W6K6qrK9t8nHhUIhX8OBGByAuiH1XIqiejfOE9zayMYc6LlQmnsi6CdeWhKSeVGEXSpbuA0WlHEfQqGQYRjl5eX9+vWL0hR69+69cePG/Px8y7I2bNiAXcy4AKBt21En17bteFnbGFxxUZblKAFaURSccQEAyWc6N1fA9z+ReSY0TfM8T1GUIAi6rnfgWziBQMDzvHC6t+u6qLFG6NGr92sv2bVVO6640Vq1NuaCGyddXfDl8/gzU1HOVJQza35tvPU5N68gdNzZ0sL3xO8+Eb/7JGop5Dryc3/f9t/eaQ+8Ku9pcuc47kApAowTcnBYNoHQ5aEo6uKLLxYEYcmSJWPGjIl6mE+aNAkAbrzxxokTJ15xxRUlJSXjxo2bOnXqFVdcceSRR37zzTc7duzo27dvB/WdQCAQCAQCYT9BBGhCbEjsRqtY88VXVvGmmLNG/v5RtwrfwLR2l1mWxSXm8J+u6646bOqIn99HCK0+8qKoxtr3y/ZCP8685oJD7/u/DozdAIDtm8tbqz6HqXjy7flf/3zSz7P3eusIoZvzfs7yN8aY5wNN02GlEiGUvPpM0zROb3h93R5C56Iqwck5PSO3B0gBANBzh62wi/yGKoVlfsu7GcK/zxFqSu0hMxztmNg+jCerqpoCFRYnGlIa5BX0/3V2/6evrXX3eBsDp7tgUTsUCmEDL0VRkcNmQTW0RrmAYxkAl/Jt0alRzLLN7Di72ZgQ3vQm5RSKoni3sVdwPjZE20hmfQ0AagNHUHKarusIIVxYL5wI7HkeHtUIX8bBYLCsrKx///6RGjTLsnl5eTU1NdnZ2UVFRRs3blRVNRAI4Cxp2LMCpGVZkSEb8e4p7IPGn7F6i33iOKgaIYQ16BZlaM/z2rb84D7iuu5+jniOR/iyDIfhBJsaA+Cj7Hwuq0efue8E16yoPP3S5gtW3/JQwQnpEHE10kYofcblAH7DXa9aEyaDoaf/8y8xN8pVbdGumrTp8n8MO/bEtt+l/QI+gx2SsE8g7Gdmzpzpuu4HH3xwyCGHxGszfPjwefPmnXDCCffee++sWbMQQsOHD58+ffpTTz31xhtv3HPPPfuzwwQCgUAgEAj7nw6zARI6M57nEfU5edYtWFw69ebm06mAPHLVvG6oPu8FgiBgscx3XPXX1atHnemF9BUjpkSFb+zEdpjcrD2mUCjryqmTKn/tef8NVFogcg6Tk5l93UUTt/80/sHbOlZ9DqnaT0Om7Msa9JUl8wqOq9y4ee/eSwhpwdjq856Iopj8Rcvz/LIG9vV1VpT6jFlcxQKz2wIph+plhlZVVanfM0QFIc1HTSk9XE6IzI5QVdWqq05p2MGZmp/b11HSwTJhl+SKVVfDMILBoGVZLMvKkkgjn/YNhBD2/wYUqRezJcddj1wdEKsaUGGml8KYBJkwoVBIVdVanV7NnbYu9ZJ1qZf8wZ2yWr5gXeolVYYUjt2wbVtVVVy7T9M03/dxqT3LslRVxQdQ0zRsc45cv6IowWCwuLi4sbERq8PBYDAYDIaXikSNIEHic7iNKIqiKHqeJwiCKIoIIbxmz/MURQkEAs2XlSRJFEVBELr5M19WFDwSkKBNZBqVoet+KAgACKGUYaOKipeKk46OXsB11/U6Pmoa8lzkeey6pZ7n+bzQeN0j8W5mBJAz677Ky46v2bbTwt+pRgiSxDAM8h4Vocvz7bffZmdnjx8/PnGzUaNG9enT58cffwyXYL3++usBYN68efujlwQCgUAgEAgdCnFAE6KxbbuT+M4OCNZ/vaT47BuaT+fycwd//hJRn5MhEAg0fb9MW7m+8rl3klyE7dvLqagBAGDovDuuGn7ddOwzHXP9ZXD9ZZZl6aEQzTCSJHVg2kYUv9z0IOyzEONU1H4/dEru7ZdN+EeMqy4xftnceLOauMKwTtqqkFkHMSWNiQK+vboqKrcP/uzSjB6sB4AYQSKBdAAISelcsJZLzzTravBkfFpRQ7Ui6dun3iIjAB+w7zgcFhEIBFRVFQQh211O+U4j1Y91a4DL43nedd0mcWjAKPYZWVXVVglh4SJ+ABDPQYxXiIMjAoFA88yiUChUXFwsimJhYWG4LCHLsvX19ZqmtepQYw068SMFl0bEm8DtEUJYjkcIRUrh2L6NcxI6NnajkxAynddWGoXpzAn9hMiYC3x1NW/PsiySdgv6iKLzn39K37Rhx4VXuZU14enqRwusyb25mm1Ri0vz3zEHHayqKuIV957XAv95nN2wKmbHKFP3b5264ajT+152c+cPgI6JaZr4ZYWO7giB0F6sX78+JyenRb8/y7Isy5aUlIS/Kfr16wcAK1asaO8eEggEAoFAIHQ4nUWaIXQSDMMg6nPyVG7dtv6Ma2POyr/7mm6Y+9wqsDRMUZSxaVvZVf9IXn3u9cp9wvCiYZ++ckTJ16dWLzv45quiknY5jktNS1MUpfOoz6GgWvf2Z221topH/v3DXY+1dqmMWIX4MPX8sPDn5EshKYryfuke6vOQdCqFgzMKdttIv92+WzLTlCzsMI2bZI2QlZKlC6lKIMDzPO5MU2qun5bjW4bXZxD642dFUViWjXxM8X5duuQDQC0akgLlAtQZTD4gSlXVUCgUDAa32z2DwWB72DBxiDNOIIlnUuY4Lj8/P3LrvXr1EkVxLy5OnPicuI1lWbg/siz7vq8oiizLiqJomhY28OLYaPyAIuozAAiCsLrGA4AN9Q4T4dlHCPm+3/zKYRgmppwq9iukX33hkN+/zrn9OmZAAZWdOeq4rObqMwBQTXXpj9+Iz5GqqrXnXBc8P1E4DxVsOBDtz2Fs2+7mFntC1wYHzrR4kdu27ThO5EgS/iIgFQgJBAKBQCB0BzqLOkPocDzPO1CqG3USfN//ZfQZ8eYqY4buz84cWDAMI0kS/sUly3Lx1JuSX7bg1Rljpp5x+KP3FBx+aFpWZrv1sY0p+/LbeLMCk8btxQorHnuzqaEh+faJfxjrkII/SJKUpMuSYZhvtzsctVubmzaYOyQLjcpilte4YYHZ3nNlSf3Mpqim1FxfSUUIAUKAkMVLViDDZbg+o02EUFR9y6CtZHu/93fmFXqfAYALYn/7I8/z9qVgY5J4nqeqqmEYgUAAHzos/gKAKIp4Z33fF0WRiYh/oSgqPz9fURSm9ZkwoVAo8YKiKIYLJJqmiZOdoyJHEEL4eojMlOjOWD796/ZwAPrOiYIgcKK0bIeJRfzIYy4IAmTnN1+PowXfWRpcU9E09m/Xn/jj/CN+/Ixpqou3UUprCrz3JB60sCyrIa+o4ZZn4zXmz7qCOsAdxFF1OwmErsTgwYOrq6uXL1+euFlxcXF5eXlhYWH466mhoQEACgoK2r2LBAKBQCAQCB0NEaAJAACu6x7Q7qoO4afbHvbN2Aet4Jm7Qk6iXILuDHaM0jRtGIaiKCvHn+dpesuLAQBA0SfPjzgnVip0p2frs+/GnJ533fn2pu0xZ7VIyVsfJd+4oa463qzilAsj9dwknfscx21s8ixvt8j7a6VL0/R3253NQS8sSzN7isCO4wiCkIw0bIipsiyrwWBKYwUA2JwECPlAFTlzASAyq9c0ze3MkSHUY417ku+jTHcFQj4uSJjMjuw7siwHg0GKomzbxttVFMUwDJqmEULN9V8ASElJcV0Xu7xbBTbMIoRiuq3xgTVNExucHcfBZxOL4DgGOmYSdLcFX0gSu/uCXF9rBwIBiqJChrmxWvthq11Wa7hSCpeRHX6/XlVVqN4atSrf91/8vAQA3v6lDjv0A2npzBMfJtg6V7Iybea1eNDC9/0m12+85qGYLakZVzrxg8sPIEgkNKFLMmHCBF3XL7300qVLl8a8wn3fX7169dSpUxsbG8eOHRt+A+Z///sfXny/dpdAIBAIBAKhIyACNGGnWtHRvTjA0EOh6hffjzmL75snHj6a/MZuDq6QBrve+hcdf8WIKV4wKbkT8dyEkgVDjz68fbvYbpjrN8Wcvv3Zd43iPZIxkMDxhflMStyKc7uXfeo/yXcgQeCDD1RYlAyFQpIkJbPCUCg0tYgFgBGZ9LTBHACsqXdfX2dFXfdjc/bQmlmOo3ixMTW3hbX7PgA4DBclVfs+IPAHOHPy2NJwn7GMW0mN7oV+LWHOZJFFgSd728B394/YGgqFeJ4PBoMcxyGEKIrCedOu67IsK0lSzLgGhNDAgQMTlBZMAC6BiAXlyEOETabYrhvOjjBN07IsTdNUVQ0XPCQyNIbn+TqX/7Zsd8rzgg2G6/myLL+51q83oU8APi9zfETRgXQmYtgjGAx6FZuhrgJfq77nbV2zLmgBAHg+zP9xZ6Bzek4Pb+YHCb4MKCOkfPtR+Apxs3rGbEYboaY7LuoaXyvNo9IJhAOdm266qWfPnsXFxRMmTLjhhhs+++yzZcuWFRcXl5SULF++/Isvvrj99tvHjh27Zs2anJycO+64Az+3Hcd58sknAeDUU0/t6D0gEAgEAoFAaHdIEcLuDnkldu/YHD9RARiG5Gg3JyzDOY5DUVTtR4u23PVUUkuyTK/7rz/4mmn7IVGh/fDdpHItDln/CQD4rquXlK85/a+JG7v1Tcl3AFFsvFksmC7sDI5oscxdGJqmTQ8AYFWt21uJVrcp8GXGP9baxE77O7zwsj9wOI42aEogPXseUBQAoMZaMDS/Rx/WtRlZjlyEQTuHykyU5vs+DoPGkZqCIFSyR/VxvwIAzU3VmF6wq0hge+N5HsuypmlGHTrLsnDIb0z1v6ioCOLXuEsGvKAgCDRNh33r2CLd/DzSNB35XDJNE5cobG0txC6GYRghm1lVu8fEl5eq+Lr5tXLnlJ/WbD/qsFSLFRTFDx9YTdNA02TL/GlT6NsNe7zGMXuFNnm8i594PXrlb73/Te6eS+I9v4TvPxOO/RM+g6qqMlfem/Lyvc2bsfXVmz6fXXDKOXu9s50HXP0y8j0GAuGApqio6Ouvv544ceK2bdueeeaZZ599VhAEPCRpWZau6/jLKCsr64svvhgyZAheStf1008/feLEicccc0xH9p5AIBAIBAJhv0AE6O6L7/ukKNDe4Xle2S0z483NmHIswzAMw7iuS6zlYbAG57qu53mSJJXc80yLi8hHjhn46G35gwce0NLzTuikduG3wVOEwt5GadxqgZEkKWpjpPh5FP2bPihNvRB/Nk1TFEVdbzkUJehzn5ftvLw/37z7Os/nnbFrFlOv/RvCF/+Vf0aFhfDQv/ysHn5NpTF/EViWp+lNr8/uuewboBkAYGyDNzXk+yEplRZEARyqscI0TUqOMOp6Lo12SqgalS97O5CQ67oelvkMw+A4bgszsY+zgEU679UZkIIoBteRS/5A7R26rkcpvDv7qWkURVVWVubmRivv+KrOzMysrq7GWcxYj+N5HiEUCoWSHMfCg4iSJFEU5TgO/lPTtEAgEC4wKIqi4ziiKIbFU8uycOxS8kMOXRLHcfpI3nVjlQrVkxjv7VWGB+D40D8FyiLGd1ZU+4fW1TCihGyD4zh86FiWxc/5g/OYIbkZL36/R9zzgh9WnHTkwfhzfmFRJcshO0Zkk3nIcXZegfTdJ/ohE/FIgCOneZxAWTHGhrPmvhA8/IRAWlrbHYAOA38X7EUKDYHQORk8ePDSpUufeeaZ+fPnL1++XNf18DcpQuiggw6aPHnyX//61169eoUXCQQCN96YqPoogUAgEAgEQleCCNDdFFyZqqN7caCyYdF3TlXs0lJUqoI4lmGYUChE3jKOxHEcmqZ932dp5o/jpkFM0yVFjfn+PSknk6KQnJq6FyXaOi19Hr5h018ebLmd70eqz0L//OFfvBBc+sf6C26P0bY1RvvEwRo+7EwA4Hk+GTlSFMUPS/fYen/BGj3v3/DDDxBTvN6wAab+yb7mhuq7n4ycXPOni7M+fhdcVwo1aKrq+z6jBT3P0zxPTMuAFCnE7xagqWBN+HOh89EG5gzP83B6NcuyHMdRCER3WzkzKdf9pY/3TSPqU+sPk2V5Pwisvu9LkhRzQ57nNTQ09OjRI+Y4Cs/zgiCoqipJEq4ZiEetOI4TRdG27fCUxIRTvPH4QdTDB+dTMwwjy3JUxncoFBIEoTu/CoMrSSoA4MDVhygvLVVdHyYWirqDFpQZldrOJ9UvxZXfbzAzRHTZYamBQMD3fYSQrut48IAB+/aJWf/+ub4quPO++GClfuLhXtj87jMs7ClAe7xImTq39JvQKZfAyh/CPnRbkOyDJvC/fR2zt/aDf4F/xQ6UP+DAo+DYJdrRfSEQ2oAePXrMmDFjxowZmqaVlpaWlZV5nldQUFBUVJSSktLRvSMQCAQCgUDoYLqOvkNIHuLM3UdKb3o43iyvUc268DQsG+3PLnVyBEHY+ba1568YdQbElOYRmrh1iaTsp8Jx+5nBZ52clAC9J0bZ1t+GTAEv9kgGHWjdsXKAZSDOjb9LAHIcJ7FlmKIojxV/rnZdHwBgsrtRfuh+sCxIYkCLm/VC6vSz7fIdlGEyPbIb5n5hrS2tveTKzFeebkrJEVmRNlQspFIUZbGize8hmlO2Drt0Kgrc/s4nPtAb5MmapuHqcD2cH0NUnmKvq2DGhBwFUZymmbwstp8JmqIoQRAsy3JdV9f1eEqupmlr165lGEaSpPz8/Ki5GRkZrutSFBVpecYOZSxfSpJkWRYWOhPAcRzW8gRBwFo2APA8z3EcfuDruh6OfqYoSpIkz/NwaLXjOC2uvzugh7RTB4gfF+s8y1hG8NQCWhQDCEHQ9F5foR3UR1hZbjy6uOH/TuvvBBue/67uxqPSEUL48KqqevHByoY6/6NVTQBw63FZH3/7+5nH7jRB+5wA+h7SP2Xq9VfeD9l56fdd6gXSm/4yGp8C0zQbTjgvPaRya35p3kO2rnLbiqW9Ro5p92OxX8AaNHb9d3RfCIQ2Q5blkSNHjhw5sqM7QiAQCAQCgdCJIEUIux22bRP1eV+wTNPesiPeXMSxruuSbJMo8AFxHGdlPPUZYHLlz11VfQYAKaDk/eOqvVlwSGHW1BNjzuILesWcHo9N3DExp+t0NgAoiqIoiupSiqIkqFgoSdLsDXZxgwcAZ6bUyn+/FVQ1Sn1GvXuj3r13ito8H5g7V3rwwcDs2Yim0ym9z4O3pM/4v+xbrsy88MxBP3xo/rRcf/MtQJQuparpeYFAQJZlz/NEIzrh2kd7lPKjwaJ9naIo7OrNcFcH/O09vN9UZiAA1UgPlvzK3uwqBL4syzjvuFWHKx4cx+FjhbsaCoWwu18UxQSZtrquB4PBmpqakpKSKDU8MzOTYZh47mns8qZpOnG5QkVRHMfBZQYNw6BpGiGkKAp+2odlcVwvESGE/dqGYeCXxIkCiPF9P53Wrz1Exlqw67q4cKNAuZeOlMoaYWgvgUbw+CdlLy2ps13QdR172PHipmn2CTjTD0sDgJlf18xbo4cHFXyGa7651Hef8Gna5/jGGx+LHAAwTbPxzCs9TojZycCzt3WxAU7yjUkgEAgEAoFAIHR5iAO6e0Gqz+87JV8uTjCX79c6TbCb4Pu+rusVdzwZr8FRZV9zQhcPAx13+zVLquurnv+gVUuF/igN/VEac5Y8YkCrVhVPVhbd6gENb+DPb2tnrWlipw+RcXwwQkiQ5LADu8GCT4stADiJ2S498wRs2gQAoCh0QQE9aBBz6KHUwIGe52FNU5YknPyg6jr06wemSb/2mrArhljX9ay/XopXm3rc4c6OzV7PvoBQo5KFEFLoWouJvh5cToY9bdYIgWKuQmyAkvvVwXDJ3SogDQC5epUoipaforE9ETg+sAghReKBYvF+0TTdx1/VIAwzQQyHVwCAIAgibdlIon3D9jmKorB72rIsbC7GVzLeBY7bLSli8RdailR2XbepqWndunUUReEoYd/3DcNoMW3GNM1w2UDXdSP7jPF9P1KUDPcHAMJJ0LgDLMsqioILJzqOw7I7jwlOke7OedBhIlNKRFH0Ef3a72qfFBoAylXo20PYVmMYDgDA+hp3jAI4hRzjeV6AtqYMD8xbHQSAJz787W9nHwYAEOvuo4L14pLPqv/2rN3MOK/reujMK5T3Y2TlI8+rLl7TY/Dwfd7RToRhGCzLRh5JAuHAxff9hoaGUCjEcVx2dnZHd4dAIBAIBAKhU0AE6G4EUZ/3Hd/3N15zf4IGg+Y8TRScKLC4Jopi41c/xmyQcemZaVmZ+7dTHcMRj925/fqLV150a2jp2n1fW9EdV0ZNMXWjbOH/ar76qXHxb2DZqSdOyD9ncr8Jh2BzK69kQMKkXx9gTRMLAFuCXjpCsiwv2eGUbtlD9KWRf9ayOfD++wAANK28+aYrCIZheAA2AEQod81F0qiqeoZhaG9/DACbTpqGWKbn798Cyx2y5VET5DLucCN3VHT/Aul+DUT5dHvSxeAB66t19HCR0gBggDsXONjsT7Qtsxe7xPXQZnuELxWk+ptT65eXp51tmKYgCOl1a9LNNQBQkj5N1UIAwHFcT2upYG0X/MZGftAmGCnLcli9jQrNx4e0eZJ+giCO5I9MPPCzRRRjhIok71+O8kSHdwH3SpKk5t3rziCEftpqCDSU1O88R1U6HFXIL1xvAsDCUnthac0tx6YzDBO2MHueNyCTzZTpWs39o9L5ftm6gwp7stXbACB40S38r4u49cvD62c2/mGOPibmV7NeNFLMyaertjafxb18nzvzXboLpeTDriuTaNCEA5dQKDRnzpyPP/54/vz5eBzr+OOPX7RoUbjBf//731WrVo0ePfqMM84gL50QCAQCgUDobpAIjm4BNtkR9Xnf8T3Pa0qkL3exN6PbBEEQRFEEgHjhGwNvvmy/dte1cKIAACAASURBVKhDyevXZ/KS96YEl6adNXFf1kOlyD379g7/uaN8y1dnXftZxmFrp95S/fIcq3iztWl79Uuzl0+8/JO+x1aXbwWAQEZ0+nAUDvBprDeIN+p/WyVLsud5qmEfYlccpmMJzJco/4zX74X33weOE++8MzB3rhYhZbYWz/OowM6UZ992/G2bAcABrkY5PJNpGlH+LFMXJb0hD2KLU5n++iJnbtBND0/p6y3qwW5ucLJr3N7pvAYIpfkbKthhfnCz4m0fUPdauOWA+jfy6bJ+6I+B2oeqzXI15dusQd/fvUSW5QS75vt+zMAN13VxwEWCOI59RNf1yJKSoigGAoHkVeMWBT5JkogIGIam6S1NbnDP2KofK9DonrvF3399U295VDiIAwBM0/zzYanZCgMA7y6tNa45CU8XP3o5Un32GYbevjFegVBd12sv/0do0nnNZzGNtVUvPdT1vtNt2yblkQkHKE1NTYceeugll1wyZ86cqFqvYViWfeCBB95888393DcCgUAgEAiEzkCXss8QYoKL/HR0L7oLCcJzuyeSJNm2HRlWEAXiuaw+iYTRkKptXrRkyzP/sXbUAADfL2/go3/rO3Rw2/d1P8IwzHFvP7bj7tKfj5qWeEgjHmN/fhd/0ILq92dcq/7we7yWTnX9d4NOGbNiTp8BhSZIPMRWKlXI/Oq6Jb1//Q8AZFxxlja2UJbl7JPPM30fAA47bLivm9bWKshu4s4+m7ngAl3XYd/M/r7vC1MmppVvb5j9uTTpSColEHzkXyUXHTdEXYAbjGp6uymYU5o+xUvJwlNcYGmIbRZG4DO0X8KcxXpNaX4Z7TbIqC6DqQCAUvqMAc4cAMhgKxDyZdSwzT6ol7uyCeVAU9BFDKuup2jGtUMoJ6tswI2FJY9///WvjuMkjsuP51/DCSTh/OX2wPd9URRd17Usi6bpyJCNFrEsi+d5iqJijpZhIRsPGnmehyNH2qzfByCW69foMYum7jFx7srgpeP2eI0jFApNPyxt5lc16cLuLwVGbVSn/NkeNJqp2uL0GWTaNsdx8WyQoijSNG2OOVZa8F7zucqyxeW/Hd937OGt3qXOjed5OPGmoztCILSCYDB4wgkn/PHHHykpKZdddtnw4cMlSbrggguimg0fPjwjI2P79u2+7xMHNIFAIBAIhO4GEaC7PkR9bkMQ0ZdbA47NrX1ldu4155ddcXfMNkM/fj6eat9QW/vj5Cv11XskIFsbty0dM3X14IKTls490OX+noOKpuz4ruynpWsuvsPZXp38guLBg3v16wsAWlNwQe9jfatloXPpyLN6BZc29jg3r/L1yOkqZG41izY/t7Dugzlhi3rPq88N+a6qqmPWfuxpOpKEnYkT26tYjrICgbYSJT3Pyzz/9IbZn4cWfGeuXOdWVHMHD4eBuxuk+FWj62ZVNgzamncKMJzmpXJ0XFeyAA0Avk2lVHoHma6JZdYiZ06B+zluEKDrfR8QApE3IQSaLuZa6wBga/55hrgzvb2w5DEE4OmGVVwOvRNldyb2n7aruIBfaqFpOhAI7MUT3jTNQCCQQLY2DEOSJISQ53mR4RLdE5kFrdkdtqZqj4GQCtWPzFFBCPE8TyEAAN/3HSWNURvwLGvUEaqqQmY+zquJZ/gVRRGHFzkUDYAAYlxsGS/eXdf33YycHnu7Z50Uz/NM0+T5Ll4VgNCVePbZZ3/55Zf8/PzFixcXFhYCQFVVVfNvgdzc3Ozs7B07dnS91xcIBAKBQCAQWoQI0F0Z4n1uc4yEulufR24mAdBhBEHwfZ+iKE83VoyYErMN0zO7cMLY5tN93//u5hk1L86Ot3Jz3cafHn5+/N+vPdA9RBRFFU0YW7RhEQCs+uCTkml3tbgIk50+ecl7AOB53lcHnZ6M+oxZfM4Nx/z3qTkn/OxW1buNcS9USuBdjgHThV2hw7uTnVMkTlHstrvIZVmmAgH82a2o5k6ZXH7VQ+O/ORVFyG0IINdbn7t1/Vr6+AXHPO1pOpLFrCvPypx8KMh8hlDXR1iPrwIEMMCZu0I/tkhcbXIZvmOmoO0IAR1RuxC3TKGrG1DPXG1nGIIh5Om6znFcVt0PWOrLm3HNjn/P7Xn/NQnSmRMbnNs1jUfXdawLt8r7HEnzzsuyjC3VWHQOFySUZbk7C9A0eCf0Fz5aHz3scXhf7usNu68rhoKyGnNgbsC2bYQQ1o5937+8V1X/72dj9Vk96HB57a9RVxRO9MbGc5ZlBUHwPC8UCtE0Db7PrPnFLxwRU33eud27LoaXF7Th/nYS8BBLZKoJgdCZWbx4sSRJH3zwAVaf4yGKoiAI27ZtIwI0gUAgEAiEbggRoLssRH1uDzb9virBXOXgYawke+CTKl6CINjrNxWfdzOTnuLUN8VrNnrBv5tP1EP6wmGnOBW1iTdRMeMV629XdCWX3IhzT6v78ofadz5P0Ibv3+vE3z/GNeiW3PCAU9nCUYqkadFPXww52d5ambjZsM+ea6dHhyzLkbeGIAgVDz7bOG/hzrmXXVj15H8A4L1xs6lUJe+2S5jsVDzAgH+ra79/42k6APiaXv3E29VPvI0X/K0w/5g5F2WyFfjPkeI3ACD71QlqHDDICRlpqbv+LCp93GQzeLsO/1ktDd9xz7OZZ0/CV1e825njuHj2VYqi2lW0FUVxX84RTdNRIzcURVmWZds2y7KiKBqGER5L0zRNEASGYbrn6FooFEqj4JoxUo0Os9eGvF2qUaO7x+XlePDFulCW6GekKgDgum5Fvbag1Kb97Euu+EfajMuR6ygrv6+75zVD0wCApmmKonieRwiJn73JHHOGCrRt2xRF8a7Va9Y/7AEj+d++9gHqjjs3QfeQ62wpXtt74JD22v8OhWjQhAOFVatWZWVljR49OnEzfON381wjAoFAIBAI3RYiQHdNiPrcTiSQO9NPOxYAgELBhT8Gjh/XbTVomqYlSVp78lVm+XYASKA+93767z379omaaFvWwqGnJKmrlvy2fPjh4/alt52No199eNnowZtufTyG5ZGmB70xY+ifTsLSoa5qNbPmtm7tjsP1yU0sQKedOAGy0yB+HbAEjuDEIIQcx4n0BdO227RoCaVInhpKueHPOx54NTzLa1S3/v35JNdsbdi6YNQjOTeeP/7PWRKVrCM4R1sR+WdYffaA+t+5bwJAj4tPC4VCiqI0X5amaVEUEwiy2ETcfg/heAnOyRAIBFzXjSoz6HkeThw2DKO5OdowjASx0d2BUCgkAfzlEOXlpartAQCsr4cTB/Ffrt99iqcfzM9aqtuufu4IfkuDmymhiqCXKVHSR7PsgiHMtjJK1xBCHMdhg7nnefhuqjvuHEEQJABVVSmKSnnqdiqk8r99DQAIgK/YXH3m1dkfvhivb9Kb/4IZMUbyugZEgyYcEFRVVfXp06fFEXE8mHqgv7lFIBAIBAKBsHcQAboLQtTn9oOT5Xiz6j/5Rvt9rbWlAgAGf/qi0CvHMOKG1XZJEEKC62+8/gG7us4q3564cfq0M0ZfOjVqoud5i465OHlXb2jFeuhaAjQAHHzdtOFXnl86b2HF3EUNH34tDClIOf6w/D9N6nXIQSzLhpv99vdHW7tmpkem9sOKuHMzUod/8YLNM/FcvRjHcbD/urVbb15zyWGogQv/49TUbTj98tr/fNnaFUZR9eS7Hz8JPW+96KCLemXQiUT2koahDe8sTDlxzADqZ9RM6f9p9UC37msAEAb0BYDmdzHOlmnRDuw4Ds/z7fQoNk1TEIS9e8I4juM4TvMRMk3TAoFAvHWapilJUrcdV8Noqnrlwcqrv2uG4wPA9xXomCJ+cenOU/zczzs/LCy1fKAadAcAWOTzK5YAQOO1D7ML3scjE9z6ZZ6gMA3V9UWjAAAhZJpm9juPokv/rpumm9efKl0Z3qiy5mdlzc8ew1JO7MgXuqm+PXe648HjH0SzI3Rm0tPTPc+LKrnc/KI1DMM0zdzcXHI9EwgEAoFA6IYQAboLQtTn9qPk/mcSzO376K0lF91W+NK92x55Je+maZCXtd861uFQFMVb7uojL0ymcfoFpxzx9L3Np39zwU368nWt2WzX/AnHcdzQs08ZevYpCdxSNbM+bO1qc64/b/tdz8WcNXTeM0xBnm6a0FJwxN6pzxgcjBvGNE0TgM9K7/3yI+vOu33v1hnFjplv75gJ4ohCRFF0VtqAB85Pk5tcnw55KXZVUP1wkV++zSt+AwDq5y/6JSMj8H+XF6SViM5O+3N5ypEDauYxr9y16ZpHcIJ5VJKGLMuGYSRjAzdNk2XZBDEd+4LjOJGjEa1C13VFUWIGWCeODXEcRxTFbv7yuKapfx6t/Hu5qjsAAL9Vo/EF/C+bTDfinqgN+XeckAEADy+spneNcIQ0TbjgRi0YBAAtf5CiKB4MUnDEx/ql9pAxPkD6A5cF8ovoivLm242nPgMAFQrqIU2U4g6OdgHwiEtH94JAiMugQYPWrFlTXl5eVFSUoFlZWdm2bdtGjhxJBGgCgUAgEAjdECJAdzW6m+t2f+L7fvDTbxM0KLnwlvQTj9z20EtGabnw7N2q3l3cgrIsm3WNq4+5JJnGfV74x8gLzmz+66tyy9bGjxe3brtjhraq/QFHvN+ocSVgCvW7/7pN970AngdudFqCURxD2AKAIXMe93plJTlwhR1eeyeqqqqqKEqUd9g0zcDoYWPWflz5xjxPDeVcdOqas26ytlUlv9q+91+bcdoxTUuWb7j+ITxFX7UBf1j21a8FIwMQz61cVxe8c+ZKABBF4a7/S8+jUt56BXnuoB9eKbqyoBYh0zQjBXfceVmWtXBVxoTYtq0oiu/7icsV7mcCgUA8I7Ou64FAIF5hQ8uyOI7rzkEcGE1VLxslP/+bhi+LVXUoNY2XXWtL0+678p+LqnFa9I4QqvrzPfKP82WeDZlmIBAAAF3XVVUVRRFcV5IkYJj0mdfihZmtpQk2HTzvxsB7T0ZNRL4XevBa8cHX224XOyMki4PQmRkzZsz3338/Y8aM1157LfzFHfUNbtv2TTfd1NjYOGrUKCJAEwgEAoFA6IbEL9JEONDAVeM7uhddme1lG1to4bj1ny1mivrkPXk7YuhAIKDsQo6f3XHgghCSJElm2FUHn7U+CfWZSlHGrv501IV/ivnT6+fxsd3TlBA3VLFo5PDke9uVqK2qjj3D81OPOSTzwpObq88A4FTXNZ+Ye/W5qH+v5E3Nvu+zLLvXP55d16WoGN87qqbJZx8fuPQ0nUGFnzw9Zt28nEum0AEp8dqKnr9r1B8fCicfHnJtZvzw0Ws+Eof2j26UjGNX1407Z+yYfn/TkJ2JLj4nAADP8/jOZRhGluW9qMKnqqrv+4qitLncgI3Me7dsAgd3MBgUBCGm0sdxHM/zktTCSekOaJp27VhlYMbOIXzLQ/WIv2g0Hz7H4VqFIgvDjpvc69Z/+Yhit5SkPHULOLYoigghXdcZ30375zXikk8hubc5Au896fGxTk1F+Zb3Z+31qwkHCuQ/HEKn5eqrr5Zl+Y033jj//PNXrVoVNUZrGMayZcumTJmycOHClJSUG264gQjQBAKBQCAQuiFEgO4ikNzn/YDW1HJ9s9SzJwW/WKJ+/E0oFAoGg+ouHMdpDxGqY1EUZctdT64ce47fUm4DAPR7+s5Tt37fs0/vmHPVYNCpbWg+HTH0kLlPxFwE8SzXUsGfrkpjZRwBGmDFEdNqX5/XfHr+c3dI4w5qPj3nvJOSrCvIMAzP8zjgcq+lLl3XeZ6PjI8QRTHKIOx5nqqq6X89b+Qv70L8W6bHJVP4CQdFJkKEQqGhc58cvugVvqAXnaoAQOqZx0FrqibueGuRy4sA4Msp2OerqqogCDRNh13PpmkGAoGoIn4JcBwnvJLke5IMuq5HpZok2Z/EDQzDMAwDe3UjsSyLfNGEMU3zyDx/yiAxfIF+VIb65Aj90vb4typVoACgsaY65eV7M/7zKN1Qnfr0Lb7v44vB50XK1OnqFhLzI6HM2CJs2oJ3tn67r0HqnR+iQRM6J4MHD/7kk08Yhnn//ffHjx/ft2/fc88913Xd4uLi0047rV+/fkccccT8+fMZhnnvvfcKCgo6ur8EAoFAIBAIHQARoLsCWBTQdb2xprZ2R2WSchKhtbARtWVikn7F2Q3/XQAAKUeNDU+UZZmiKNM0VVXlOE6W5XgyNMMwwi5arKXe4SiyvOqICxo+Wdxiy8BJRx639buDLj03QZvtv/8Rc7rvuH+cfE3MWQPf+1cXE/STJzWndfHiObdM23rtw9VP/SdqujS8CDJTWlycpmlsiTVN07KsJAMo4oE1aPxZlmXTNOOJSqFQKPWI0fHWkzX1xOZaqqqqdpo84KMnh373+rAvXkg77uDWda4puDF7gg9gDBsfzprAZaMAgGVZRVFYlg0GgwghQRCSH1XSdb3NAwRc123Vg4JhGEmSXNdtMT+6eVIKRlXVzv9o2g/gKBJJkvqmMtcdGmB2/SdVa0KNz00cwNO7LgrD9gEgq2ee8uIX2qgjQ8PGUcEG5o9feJ7Hoxr60We0dut+nJGMtLdmbv3tx73bowMIwzC6vNebcMCBEDr66KPfeuutwYMHa5pWUVHx7bffAsCWLVs+/fTTyspKXdf79es3a9asSZMmddt/XQgEAoFAIHRziAB9wFO9fcdX0//vs/7HLOwx7tv+x30/aNJn6QcvPGrqui++Jj/S2pa8omZv90eQecNFdbPm4M9Z55wYHgZw65uobdXYTmiapqZp+DV2OgKGYbDGZ+xiryuM7R8URVlx8J/chhYs4dLho48q+/rY959VUlpQObc200YTw/buMWTS0a1apCuRldsj+cY97ris6l9vAIBb15Rx2R5q15D/PpaMoZXjONM0W3TOJo9lWQghjuN0XU8QKOz7ftEr90rDCmPOrZmzKN7PeNu2LcsSCnplnXBU4KPZmZ99nPrCs8Lpp0U1444/NvPzeZmfz0v/4J30d97EE52339045nxj1NEIofD6aZqWZdl1XVVVsefacRzDMLAgm2QqRXsMDSKEZFluUdpGCOEnTCgUcl23xUxqfIJiznJdVxTFvexuV8GyLNM0g8Egvn1OGyhG/i/1UxXKyxYOzWcAoMnc+S0syUrBLf/sc8djTYdOkr77JP2xGyRJkiRJP/r01m4duS4A+HQM83vqC3duXbt6b3bpgAKb8Tu6FwTCHlAUdd555/0/e+cdHzX5x/Fvksvd5ZLr3hTK3nuIKIIiQ0WmKA4U+ImKAxdDWSqIG1EBURRBQRQQ2RsERdmzQIECLdBCS+nu5XKX/fsj5Xrc6l0XLTzvFy9euSdPnjzJJbnm83yfzzcxMfGXX35p1KhRSEiI2Ww2m83BwcFxcXEzZ85MSkoaPnx4hU+FQSAQCAQCgagpoCSENRsbx+2q/0CJ36Sj/PjZc0PfOm8y6kKDm/w5u37zpreke7cZ3kL/mJ5dQp55NH3kFLjxSuyctex4y/4AQEaHt/hrkRZUqMV7ak64Wk0t0ZlzyCHHcQaDoXrOdqcoKvXVD0HypaaRdWK7/L00JCLczzb5jACSzgHAff8t9WglfOdQe/4U27Hk3MXrVa6UOenWAycdyy6aop8SDkEQFSv3SJKk0+m0pHa+8xmyLFv3149JktQROu5savKTExS+uH7WwtXRbw3zfY9o9xTP8xAWSjz7TNiLo9SiIvvW7bafF4f8/JMUHORIuEcHBYWtXw2qCgShqqp2PzpueVmWVVX1mH9Pu53NZrMWHu6jM6IoUhRl88eT2m+0Ayw1NyDDMHa7XQtd90cHF0XRZDJ5DHW32Ww4jmsNVuCYRA1FEARBEGJpUyiF59pKzn8+D/m8rndjYts5XrvOtXIMw+qNeS9z/DOYqjK/f8U+9ZYu3VfWQR9gsueTHzTz9asT59dq2KhszdYIknfvvTju8wGJm291RxAIV/R6/XPPPTds2DCr1VpUVCTLMsMwQUFBZbBLQiAQCAQCgbjNuKMVnJqOIisbou9yV58dqJxdvJp16u6hV86nVGXHbmPi508DDNM3rFNn+ZfRM95QVVBVsGzflz5iMnhU6G6URY0Y5KLmKIqiKIomdWkLLmur+HXF/5n1BEFYdh/ythZnTHed3vTwqS3+q88AYEyI9b9y3a8mhERF+l//9mP369PTX5qR8/0fDvU54tUnPdak723L7iz5stg9x0vW4VipsrJOp/PmxlAeFEXRJDl/RhFkWbbb7ayVVWpHtTj0W7ujy7Xy2JeH+o7kdTk6LX7ZiuPyw33CNq7lKKOzXmy1WlmOY202lmWtVqsm5jrfg9qYkLfgNYvFoiiK71yjsixLklQZAyeiKPp4XOh0Oo7jRFH0fxRBr9dzHOdtrWbSrQkrAff1dgTHcT0BbSNgRLObyvdmYUEhxoxr110qR378c1GnngpbZCksMG74pWjkpArsDAYQ9MlL+dlZFdhmdYO/msWfSd3YaxiKg0ZUEz766KMvvvgiL6840y+O42azuVatWnXq1AkLC0PqMwKBQCAQCAQgAbrmIsvyupa9Vb6UmdQal79aVNn9uUOQ8wpUReXPp11+Yuy1yd94rKNPiNMCA0mSPNn1aa2Q6dgy0FdlURQrzyhQMzDV6XTmG+j1erPZzFCU7wRrOI6nvjLN29roD17pe3VvTHytQPtTZ8L//KwZ9dKQ9qOfCbT924m008k5P/7pUpjz7bKot4a5V2a6d3D+yCdf0kXfGBhQVMznA4RhGJfA/AoEwzCz2RxoSjFBEDhF7nB2XZMln8SMecpHzK+2C2+rSj0ojuNMJpOLWGy3232M00iSxHGcb01WiywGAM2Tp6JucIqifARfa/HmATVIkmSpzyvt2qBpmmEYiqLMZvMdKLJol/GZHAkAok3Ay9DpZnccRYUvd2ddSr8pzaDeYAjt94w+42L8txPYlz+Uapc9Wtke59kYipg0LCs56XbVZ5m2zQDA+s+hfTO/v9V9QSAAAN577725c+f6HoNEIBAIBAKBuMNBAnSNRFXVbf1HCSnpftanGtWtzO7cKZxauyXj3a9KrRY+qKdmC6DX6+XCYp2LaubLP9ojLhpQ2XwDvXlJG41GgiA0L9fkx988O+CVxLYDj7fsl9h20PGW/XQWTtujidC5vFDpdDrbmVSPbRqa1Ls6ed6OAaOtllK8od2p27oFEKU/jmp/PKbr11MDbfw248SgNzyW5y/f6lgmQoMAADOQ2d/85lzH2LKhlJXr+IhRHuRUzS/YZDLxPF95GU0xDLMEfp1osCwLzRJ8hOg6dhFoyy73i/MNSJIkRVG+d+rQZD1KsQzDmEwmTbIkd683k0Tw9bSqcZLRl5ZA1ZmAuqRN7MBx3GKxkCRZ4YkWqzmqqlqt1gZByqP1iUbRTESIOcjg4UH95T+ZaWdukoMj42phAArFmL8ZHzZ9pI9dWDv2UD7/A/tmnb1BK/e1xgzPT2NMkU2fj8mZNrroRkjm7UTdJo0BwwDgyuSvz+7671Z3B4EAbeQ+oCctAoFAIBAIxJ0GEqBrHqqq/v32dMv2vf5vEtXvgcrrzx1C5sVLKcPe8acmGROhKV+iKBob18UpI7i5AfiDs3zGMAyO41qQsp/bms1mo9FoNBrlfScYmjYajWaz2aEma/Pxry/fVPTvEduZFHtKuurk6Vz490Gz2Vy4aPXJu57IX7vTuWUcx6WcfI87Vex2ALBs3781qmthTq7HOt4gCKLVXwt8VQgNuvfM+k5vjQqo2duP3GtZQlqmx1ViRnbMlBe0ZTm/CACiJ7+gWG9yHA55vJdjud4XY13kVE1jNRqNOI5rpg0V3Hsn7HZ7ZediCrT/Wpo+x0ebzea4B7UFP4PBrVYrjuPumfpUVeU4TlXV7D+3S9nZIR+/bP75MzObV34NWpvuTVGUdkodeU21BIk0TQdkPE0QREBh75IkaTK0zWYTBEHrSaCHUHNRFEUQBFEUtZMme3nSE/M/SJ33keOHoDAvFwAIS0Fhp16eNwAAABUgevTk4PBwhmHC3pmlkB5GjHz8tBjTz8P4IVe2r/PzWGoKGIbFflQ8Dneiz/M5125nvxFEjaBx48ayLFfPvB0IBAKBQCAQ1QQkQNc8Dv+2Kvvb30qvdwOM1MU3bFB5/bkTUBTlSPdnPa4yJMS5lKS9O0uXWwQAgiA0/ePr5pvmm+9pV4adWq1WTS/WTHhFURQEwc+sXyaTybL/+Jmuw4637Hfp7U8TWw9I6jDkdJ9RchFrNBppmtaENkN0ROrLH7hvfvXD74637Jf13TIAuPrpD85yko+oUn3DBMfyzvq9A5X/GnXu0GHfUnBrH6MMTZZ/0S/9n+i6dQJq8Lbkwo8rfKy99snCoEe6Rr35TNzMt+M+f+vae/MAADcZ684cq1XI+6VYitKFBgU/0tXZwkK72Gw2m81mq1TpWUPLyFepu+B5PqB4NFmWFUXRLDLgxqARwzA0TdM0HdA5EQTBbrdr3hSac7ROp9P8RhRF4S6kHZq0+nL/NwBAt2MVbShv0BzLsqqqaiqzFsStqqpOp+N5nuM4q9UaULbAQAcGnAV0RVEsFosgCNpJC6gdjy0zDEMQBMMwNcLiQ1GUaLPnThY2ah+0d1PmmEGWokIAKPpqIgBgqkKfOeijQQzg2uVL2jJBEPov//BYx3cLwcu+zlxU+tydmkX7l59zLO9q3Ev0mf8TgahsunTpkp2dffLkydKrIhAIBAKBQNypIAG6hnFi/8GLASYsUkVpfUTH9ZGdtj/wtD2QODiEg8R5S7SQUhca/T5TyMx2L7/yyQ+aiIPpiDP9Xmn44/SABCANbXK3Swo4QRB8x0tqWeOSug1LGTVVsTrFtyqKcDUrqeszZx8cmdRj+PGW/TAMuzzhi1K7oVhtklPIrY9Q7uDHepdUE6UdDzznraY3Etq2HMge7Zq8seGG2fX/LcssuQAAIABJREFU/LLpxm/75h0YmHugRf/euB8GHXcCRQc8v982/OF9AABZLtr03/Wvl2aMm5UxoVhyand0BXfyPAAkLJompF4FgJBeXdrs+9URFYthGMMwVqu1CnTnqkRVVW8WNN6QJEnafdOMfi0nYRmMsDU7DpvNxvO8qqoYhhkMBs32WnM8T3nps9yeT5mSjwZ/9lr5tXiWZRmGkWVZFEVZlssTixeozus+KCXLstVq1R5fZeuDBk3TLMsqimK32zmOoyiqahxLyowkSbKC3e/JAz+z+X0AQOZft73yyKXkM3Ldplq58coF323iW5c5limasU31NVPEG8x/63OmjvLtmV6zIAii07HV2rJq59c36nFr+4O4wxk3blxQUND//ve/1NTU29V7HYFAIBAIBKKcVOt3OYQLaedTznbzHIfrG1UQVV6wHUnaFn33hri7UaxQQKiqmj5trsdV558apwo3aXa4yQgARbsPl8QhJsQea9GvzLF7LsoXQRAeRQTNc4MxmS498XZiq/5ygVd3XTmvUM4pAIDjLfspnF8p4Az14h3LJEmSUeEeq8kWq/NH25HTZRA0cRyPqhPf+sHubR/p2bxHVwNlrLxMjDUR6/4THsuDu3UAAExHxE8Y2f7kKkd5zItDrKcuZC/bEvnyE5dHvg8AkUMfqv3lWOfrymQyVVKmQd9UwVt6oHolz/P6+7s5MgRWVA8VRRFFkeM4i8Wi2UC3O7EyMpi7vvofFcMw3m7+8/vyS6s2m03z6ilPI5rmG9AmWupFR+S4M5osXgYZGsMwmqY1l3BVVSVJ0kRto9GojZcE2mDVwPN8NEOkFHpYpeNvjPeoKj39edlW8rRUDZS9c29vlxp58Yzzx6i69fP+N6UMfTNkpBa+NeR20qBjG9SPmTpaW5Yys3e+fqenB0DcQmJiYjZt2lRQUNC5c+ehQ4fu3LkzKyvLarXavIBEagQCgUAgEHcgSICuMdg47kDb/s4lMV+MK0M7CmvbEn/vth5Pb2798MFZPxTm3oYZiiqW66mXVLtfkn3k+JGtD6wAgGbrv3OEH/JJFwAg++c1FdIZjy8tNE0zDJM5e0lim4H8xSsVsiMH9eZP0wxeHYjXcwGg1o8fho9/3vlf5nvfuWx7JcVzgixE2eB53sXT2cGRpv2jnu3XZMknUSMHHuv4ZItN8wBAHxcVP3Z41oI/I0YNyp7/h7lz67aHfo+ZPEq4eQjqVkn8VfAGXoZdaHYWmpyq5WOs2C6xLGuxWFSCwMyMlHjqnLEVABiSDnkUcANClmWWZXU6nZ9O8c44roEy6NdarLcmQ7ufLi2EnKIos9ms1+udTVFIksQwTKfTaX4dBEE4NmcYxj3foxYKrQ3maWblgXa1siEIAsdxk971HOIY1L502LkkaN9mx3LB2G+AIFS958MhivLYopvm3yTc24OdMFctxXvDAzq2IPvzsvzZUG3pNG508I0UFznfrzi6asOt7Q/ijmXKlCkdOnS4cuVKTk7OH3/88eCDD8bExGgjcx6pvAS/CAQCgUAgENUWJEDXDBRF2dblMVW8ycbh2viZAKCLjdA3qRtQa6pdsB9OEi9lXPvg23/qPZCdea0Cu3r7kbrEX+04+4tFqiy3S1pP1I7WlC+HXFjw9wG6IuaPi6LoIlQxDIMp6vGW/bJ+8OUOXGaC723vHr4dO2fS5RFTsz7+yfmfwroKRijEp2LhijwHtpvvbt3u2Irs3zclPzsxqdeLmI6gGtQGACHj+tE2jxnvbsWfvNDmxJ/x302yYargNgHiVgnQVRCMWTaNm2VZHIBhmML9h/h1mwMykvYTm80Wt+JnABCPHE9tN0QldCHvjzAzNE3T5fw6tIR4AW2i1+uNRqPBYGAYpjw2LCzLaukQDQaD81Fo/tQsy2qFmqGzppJrfvSaXweGYZrpM03TiqJ4/O60WHK4kSKyurlCa/kbk/NuurD1OIx9oFb90RNtTdq71C8+QlJvOLwLFzzPR8F5Tnlr4LXEI86FsU2asxPm+O4MH5PgXmg6fzxt1RLfG9YgMAzr9utX1F2ttI8Xnhybdib51nYJgUAgEAgEAoFAeKR6vbwhvPHvO5/wZzwHk0qZOZCZU57Gjw0Z03uPh9RGCI283zf6XxnTEdq0cQ2cpoIG9Chau5M7chrz4p4RKM4qNkVRGIYdbzuw/M16BsMkSXLXpDImevYkQVQqfL6nuf0Alv0nTvZ+SZVkAOCvZAHA4Sb9tFVhowZnzvixQ+JK1ov/+y10OKnw4GJ3yh5kjeOF6zYoeXns4j+oZk2gvgctr5zYJCl+x9orfQZb5/6YNmNiwubvQ94fqQLon3y9MKFpeZ4Vdrtdr9e7jzR4gyRJTf8ts220A1EURVHEcZymaVmWNU1ZFEXNCFtr39Exo9GoKIrjgaYZ5eM4rtPpXGZdOOOob7PZTCaTwWDwUbmKkSSpQCRahElJN2YWERhM69+UYWgAqD11TuZrA8mCkrQB2r1HrpqPeVGfHdXo2ePTnxhTu88gR2Fck+YFTAjBFnjbSleQLZsYgnM1VAnZuCi7y4ORsa7pc72RcfwQueEXIj9bCQqT4htAzyExCXX93LYKwDDswW2Ldzw4zH4kCQAOdBwccmVPUGjIre4X4s5iyJAhjRs39r9+NbezRyAQCAQCgagMkABdAzi5cVvWN4srr33+/OXKa/w2QPKUZtAbhbsOMt062JzEvqK1O7UFy9EkY6vG5Zd4nGdu6nS6k/c8Vc4GfaGqLgIlfzUraspLGe/PB4CEpR+zOw/l/rTa29aJnZ8m9v+W0LxJJfbwTgLzrthK2fkuJfqEWF1sRM68Fcb68fabhxCMRqMgCIqimEwm7TWYoijb7ZihtMzTnFmWpRrUt3z/A3nPXdlvTYz/a12F22QrimLluPhtq68OeqZo8sdpC+fErp1H5mYxy2YTDwy0dR/goqtqwdGKorh7U7ijGSX72WftLFWgI4qiKM67JgjC4wWmCc0uCRh5nud53tsFSVGUKIqSJJlMJo7jOI4rv3VJBYJhWJ5dsTtddK/dE6Gpz9raiFkr8kf1xJWSGmJIpDHtvD+Nh6yYczG2br3W7Rwl/LivTR+McK+pkAZc5Ak7d23omzHLv3btJAA540Vlzjp/JLDrn7xlvpBY/KEg25CWDHs3FRjpohc/qNOmgz/drgJwHO+1c+nBWT9kTZunitL2lg8NuPxfdYuOR9zedOrUqVOnTre6FwgEAoFAIBDVGjQCX92xFBWdGTSmUneh2vl1QW3WR3U6/e++St1RDYVq38L/yhfHzGD/PmQ2mx3RnfHvvawtpDw3sULm8jtUA21BLqrc9HE4jjt325Z0gU/Pbr1vScfk9ZEdW9Ue/US9WV5NRVVROtLhiYtHPefNQwSKMSTIz5r1Vs4ULmdy+0+CojT9/TMttlTDbDbb7XYcxw0GA8dxLMsqisLzfBmMg8tJFZhglieOWN+iOQCQRw/Rb75ypc/gyhA6NffkuFW/4uFh5/qM+WfemX2X4hQdSe1aY1zypeZTQZIkQRBmsxnHccPSr+BUcYJT3/gf/gwA2i7KcRylIMuyzWbTDsdgMDjKOY4zGAyOVc54DMzX6/VaQkK73e5Q4TmOq/pL1yMkSZpMplBjSRLCoY2xy7k3jSLoDQbdl386l2CKZHlzphTfwJ9dRHwzNv1CiVodXbtO7qCX3KvhYvEwZ8zyr/PfW+hegbBzmSsXlbq7vGsZlEN9vmlza+js8Zbne6Tu/dufblcBGIZ1HvtS3d++AAA5O3/7wBdRkjcEAoFAIBAIBKJagQToao0sy5sjqiikQrULF/qO3v/J3MxzKck7duekXZHKYQZ6O1Fv6ssB1b/4xseneozQRCKr1cqnZzlWpbw8rfz9cU4XJhd5nXuOGf0Su4mI0E4n1+ub1fdWQeFsDvlSr9df+eh79p/DF9/47NKk2cfueir9qyVhj3TzvYtj9z7rLIAiykxQWCjoShEKyfjoyDeevjhkHABQjRM6nF1nw0qEGIIgNGlSkiTnYHxFUSwWC8MwVenIUQUhipIklXmms9VqpZ4bBgaD+v13oKoFM+dUUodtNlv00gXGxgkAYD1wavcOUYiKN6WcCnlvuPmL1yO/nRi2ZyMz513mizeS9lgz9l501nA9oqnV/odsWywWHMcr2xHFYrFYLBYtulnLm2oymQiCYBhGVVXLzXiM8iZJ0m73YFVRTaTGYvsRUBuFAADUC4I1abrNl6T8gptcMsKjoixPv60tZ/cdiUkSAOiupPi5l+BPXuKcQuMT+j5hT2jqo37o9P95LA/aupQvbdKDcO2q7wqRP03PHf+UwPvyD6lKWj/au2vKX7rIMMu2PXt/Wnqru4NAIBAIBAKBQCBKQAJ0tWZT1yH+VDO2qTCLg+uf/Hio4+DkwWP2tuy7KbzjZRS7CtCwR1dzn3sD2kTMys3/baOWIyvmheIv0ZAQlzBncvn7w7KsyWRiGIYgiJwtu0OGDwh5tn/IM48GP/VI8NCHgh/vEzS4Z9uDfzx8da/5oa4+2iHCQ+p99/4jKbuia8cLXhzGASB/y78OUVInyqEvPoEzJsuR0zl/bpcL2Xrvv3zivuGl9vlaEkoMVQFgGBb1wmM+KsR9/qZ4JSv7m9+0j83XzXFWIbUITZ1OR9+MQ79jWZaiqMrIueeOZg1c2XtRVbXMh6MoiuHxx4AgACDouy+5rX+RhUUV2ruSHen0ZIt1czqcXdd40YdSVt7ub0+KoVEAQFgKMRun37ctt/E9/y3PaPTdVFPtWP3WFT6kcIIgOI4LNLpcFEWj0VjeI/EPm81mtVpZlmVZVhRFTW42m80Mw5S6ocdvswpC6f2BIAiSJK2ierEQACDyhrPIj/9ddpHI6/cdoiUkjNy4iI+uo7t01mODCulhpAED4L54u+QjhoVPniPE1i1Dh7OXzS+lBkWX2og+L4t/pa+lwKsVdRUTFhnx8IWdsVNGX33lw7P7Dt7q7iAQCAQCgUAgEIhikABdfdn7xXe2I6f9qWlPLFH3dDERFdiHxPuftbJsNXm9v1VgGNZj5bzmW34MaCuqaX1VVQ0Gw7W1f2klMWOeqagISs05QadCxrR5+T+vzV+8Lv/XDQW/bSpYtqVgxVYyLqpO08Y6knxgxbe9ru1ruH1ByPAB5gE9gob0CR76cNjLT0aMHXH3mc19L/7T6pnBGIbtH/+Rj31deX+uZtJqMBguT/rKeuysPSkFZAUAYj8ec6T1Y6GlRUADwNVd+yvkwBGdPhoLhOfnduyHr2ZMKPF71UWEuvgwGI1GlmWtbjhHm3IcpygKTZcuPJUTRVGqxqS1PIG9HMeFLloAAOquvwFAtfOliqRlQxRFe26BoijM3a0BwNSxxbGUYACQQiLyOvY5G9vj9Ns/Rr30uCRJdMfmNnNo0NnDZoYxGo0eBVnfYezeAqglSap6LwtBELSxNIvFIghCqeHqHoOdq0k6L1mWLRZLo0iqlhkHgCKZAAAM1Ot2bM+Jc841VVXFbMVRzKaLSeZfPvXYICZ69lExpJ/PySiJTcYJIui972Uq4Csz+L91vuc5GcL8/HNCVcc9ln0lPdAOVBIYhnWa8HLPjD0Zf2zOvpZV+gYIBAKBQCAQCASi8kFJWqopgiDkbfm3DBtK13Iqtid/xd0LAKZOLbtu/KnKQuSqIWmfBSBAM51amTq20OIQbUeStMLL475QJDn4oa4eZ5EHCkVRST1Gelx117S3VUVJO3/h6g8rCv/aL6R40AXyFq7ue+kfDMOuXbma8+PKUnamKAaDQSerCknw59JUQcR0BHVXq8zJcwxN6kUN60tGhFz98hcfDVydPEd5fWQ10YlqNAbK2HbnwuPdRzgXRr46lP3veObUb50LW2781uZmBOyPWYEkSbIs+5/CrsxYrdYq2Es5rzpRT+IxMfK6DUCS10aNiV441xATXf5Uoi7Y7XYmPERRFEEQTC0acAdPhY3ov+v3QwAFGHlJtQsAEDvqcZZlmeiIE4MXde0fRq9eoGKYamLsDwwCUi+07QoYJkmS5jpCEARBEKqqaiq/LMs4jmMYxiVfKjyRHDKwh/tTSMv+pyX3q9ij8w3LspqSrl0PgiDIsqxp6IqiOLt46/V6925jGFZ9HiwkSWIYVpuBy0WQbsUwgIfr6TdfFNec51vXtwSZzYqiXDp9SrdxCZVW+qQQDLzerfLiL+HdWSX71evtb3xGf/qqe00hIk6fk+GtncKraeF1vdpPh0REFun0uFS6nzimqob3h2dN/D66YeNSK1cNJoa55+N3+Ir4tUUgEAgEAoFAIBDlBwnQ1RRFUXpuXCgK4rnde9MnzBQupJWnNSI8WM4tLL2ed7hDp3bU7d5mz7LaDeqVp50ayvWrGewuT5N5dQRIHsLDG/38scVi0ZYTJr6UtKM4/jf93VkR/R4ovwCNYVjhxn+kXA+znmM/ej018eTZ3i+A6Mt2Wc4r/Hf05OBe91588YOQIb2KVm73UTntvTl1ZryR2HFgyMjB/IY9ANBq10KCpgiaOtL6saxlm6OfesS3AA2K+t/bH3X7eqpfh4fwSf272sl/Lzx5//8AwHRXS5ymsr9d7l6NCGbASdslCMIfJ26DweDIcWc2m202W0337y6nQbAgCCE/zc/rO4Dp9QC7aWfWiFfi/1pX4QI0ALAsyzCMKIrh/e4XCyzcrv36evHChTRVFgCgxfaftAoAEDyo9/7E5LtbAGFjMavFtGExAJhWLwAAFSeU6Phzsd2zZv4i5RYAhmEYpqoqhmGq05Mq9KGuWrl7NxRFIQiiime96HQ6bRyCZVnn8G2dTmcymRxDFHa73V0fV1U1oIyLlYpOp9uUbLlmBQBQAEa1MrAsO6oV8+NJ3jrhaU4SMEk0C8XPfykiVpeTWbYdUeePS5LkPIcgplGznPiGhisXXGr6UJ8BoCjlrA8BGsMw7r5+zK4/vVW4qTIA9cnLRV+uDAoJ9ad+1WAwGkVR9CdvJwKBQCAQCAQCgahUqkvcEMIZx+s0qSdb9Oz+0NH1eEi5ZkaXU33WUDj7sXYDt3V/sppkfKpKTk/60vMKT+qzhjbPnSCIpAdd45TL/zJsMhjSJn3tcVXm5NlnHxjpW33WyP9tY+G/h1W7kL9se62fPbhwhL/2dMvjq1vtX041Sjh53zNxc6bkfL8SAGpPf1UfFQYAh5v0a7DtO4wX8RAz1dTXyETt76fkzF+5iml3Pe2KX0eI8Emjzh0GWI7ETn+FO3iK3XXIvYK5c2tnDdFoNBqNRn/uXFVV2RtYLBadTlep8x7sdnuVuU6XGZvNRnbupOzcxUweCwC2SjOWFQTBbDYHDe2jZF0XM3OEC2m4yQgAEcP6KWFBjs4kjB1uO5S06+e0v/8l9l2pk/HoSwpR/EjBFJnIvBxsskvZ+aCoICuqJBf/78Txjk/mzvrVY+Cw9o1U0gF6wznMWXVCFMXqIy6XitlsJggipRCsEjQOAUUtVtIlSdLhoOI4JvK4YFcMVNGIiRITYr+3rz/NerxpMYBrf292KaTGzwr0t7nU+lFPjfa/TQxU9Z2nnL/N6oAsy9WtSwgEAoFAIBAIxB2I5xgoxC1Em4XtXCKK4ubwjreqP+6QCXFd/1tmDg6+1R2pIiRJ2hjaIaBN6PbN46ePUSJDaJpWRelM/1eE9GvF6zCszYk1Vqu1zP0hSfJcj5FyYQUYF4Q8NyBv0VptOe6Lt7M/+l5hXWffY0ZD2JhhWR//5FzY4cxa2WJNvG948MAeBcu3Ema63eFlh5sNoFs3th53TagV+mSf/GVbbzSH3Z+6LSwmqvydv8Mpys3bEf+Ax1Xmzq0aLJxus9m0jxiGGY1Gm81G03SpF57mmOwsXhMEYTQay3PF+gNN0zabrTJ0ogpx+aAoipvyvnjylD0yTkm7ErdysRpkdpzhCgTDMJqmLekZwuEkY8vGTOO6cGNUAABIkiQIgud5gyAndhnmvGG978bX3/0zpsgAUNS668HJ60rdV4fTa1nOqh2dwylb+wqq2IUDAEwmk81mc/mDhKZpu92uXY04jiuKQlGU+2nXLmyCIKoms6U3jEbjX5fE8/nyfbXgYC4JAC+0MrAsSxDEjkyiHWVp/eM4ACgY+w1xOdm8cl45d6cCMD9sx2+2OE//c3HIpp/dK8t0EGH1kEJTDI0K/eJ336bhqYlHImePdy+3x9YzZl50L8/tN6ruwKd9d77qMRgMvg8TgUCUmYsXLz7++ONLliyJi4u71X0BAMhcu/Po8Hf9rNxu4Udxg3tVan8qClVVJUnSfuxudV/KjvYzreVpv9V9KTva7MCaewjataQt63S6mvv7qI0x3waHADX8iwAAURRr9CEoiqK9cVTnp5Pdbu/bt++CBQvatm17q/tSdmrwD9hticfZxBU1SEDd3bpC2hEvZ+xKuD/v+vUKaa36w90w0/Af69HTyY++TJtMLMvierJEfQYAVc38enF5ns4Gg6FC1GcAUJ10xozxs2RRjRj7v+DH+wQN6hn8WO/gJx4KGT6QfuT+os17yITYsGcfdVSWi6yqJJO1oguWb6XvbStbrKkz5pORobpg1+R1uogQdvdRp12q/zTr6zvzFcIfdjXv57Gcalqv8S8fOUQ6nU6nabtQWm46By7VZFnmOK6Sku85sFqtJpOpMlquEFHbZrOZZ0wDVaX0GBYVkTHkOevR45XRYVVVOY4LqlPL3Le7GhtusVisVqtDQDcajZIkqarK64n2Z9Y2mDMxYtRgbdXFl7/YucaSeddAADDk+WXscKLH/8xms8lk0ul0Wl5TlmU5jqt69RkA7Ha7y197er1eS4mpfaRpmqIoj7+GmnW1oije8itWDTqd7ny+DABZ/E2isCzLtc3E5hxGyxMY/OUb5VefAQADSD+0BwC0UHHtzNR+7DkpJNK9skf1GQDI/OsXDhzOy7ruw3SlfpsOMh3kXu5RfQaA8PULqmHi4hoUSo9A1FCqj+5QfXqC8Ab6jm4tGIY5voLb4Lu4DQ4Bccu5ne6Iak41VffvWDxai5IkiQfRSlF5IxBt+09oCxipU/2waPCFouzr8sQjF3bdCbeoaCujZXPqGx9Hf/KmIAhkVLh4PddRnrNiS+RrT5fZRjZ9WgWIFxqqcNNloFhtWZ8tdKljaFKX6XW3lJkT1L973pINhvrxfOqV1KlzVBwXUq8AQLOFH6Z/vqhg+14xK7cwK9dl8+B+3XNvBFkX79QunFyyut3/nqioo7gDuZR8Ti7yPAgR9UxfZwFRr9c75Et/7lZVVYmbYyrhRgQuwzDOgmCFo6qqyWQSRdE9iJUkSce4dKBUlBYmp6djdesyzz7TtF/fI627FE2crvtzCWk0VHjIraIoNpvNoca6nHAtYkVVVavVquvSKqZb+/i3nk2bNDtv7S7VZk8au/BCozqtOyQAeDBmcUG8lnu4Sb9aH70WO6TPLfcoUBRF+/a1j1rss06n04K+LRaLFgrtsZ9a6kUA4DhOr9f7KTV6c8EuG2az+cx1HgBIHC6zOAZwd6QEUCyIt4kkDl2TFvX//Pnlr1TgT6Z51fyMkweY/Zu1NoWIOKFdN3rqfHXsYD/3opCGUw+OAgDAsOC+3drMnhIe7WF6im76InXsY/53LO2vjfV69/e/fhWgqqqiKDU6bBBRfVAU5c0334yLi3v33eIwWy15L0mSd+Y1ph01wzDB1WNyZJEpACMpymSqJt0uFVmW8/PzTSbTrR1tLSc5OTkAoNPpgoI8DG3WFIqKilRVrSlXjjuqqhYWFmp/OzEM4/6Xf02B4zi73W42m2vus9dqtWpxQjRN1+iUFTk5OQzDVNvY4VIRRbGwsBCq99NJc62suVe7Rs3u/W2GN6EEw7A2W37yuKpsuKrPZfrVkbPzU//eWzEdqt4QZf0x4FPSAYDEcGf1GQAUi7XMT2eapnP/2FK2bd1ReQ9KTfiQ3s03zmuXuKrlXwvaHF7ebNXX9F0tizbulvOLQh57MOTxngBQtG2fZcserf7RTk+GPNqtydJPAQDT6wyNExxN1fpqnIv6rHFlxvyKOoQ7k5MPv+JtVfiQXg6RTrNrAACKoiiKsvgRy+9DkmNZ1mg0VtJrD8MwNpuN4zhZlk0mk3PANcMw2vQ6mnaNr/eHikqiiCck3LVtU8vhz4aEhZmeHAyqmjd4WCW5V2t9dv8z1P3bEUXRZrPV+fh1fWyEVsKfTzs0YWWtr8aBf6OD1u9+vDhopPO5vVVvtjabzfG98zxPkqTBYMBxXBAEDMNEUSz1bCuKotfr/blONHPzsl1R7pHver1+fTJ7PEsAAFEBAFABrBJmEYrvRFVRACBXwFc//U0Z9ugNMjfTfEN9BgB9TgazfRmMHSyFx/jZQlq354qXVLVwwz+76/fa2v1p91uGCQkVp/tMM3sz4X/M9r9ylYGCoBEVyLfffrts2TLnj3ffffeBAwduYZcQCAQCgUAgqjlIgK5G+Iikq92y2f1pu0OGDwQMw4wGQ4uGFbnjskYIXlv3V0V2o7pCBZUxAySfcV05fu5420Huq67NXVq24HH2Rhh7hSA7OT7rwoLbn1rT5tTqqEnPQ1yEXRaFIJNNlTmOC2nXvN2xlZnjZhWu+gtnaMCg/pqvGmwpDsQ2P9g5edCbqgodzqyt99lb/LnLWrmxRYOrb830uF8xM+eWR1zWXHieFzOzPa5i7mrpLLIYDAZZlgmC0GRKfxpXVdXHsCrHcVqccqB99gGGYWazmWVZ7ZJQFEWzg2AYhqZpbZUsyzzPW61WhmECTZEny3KFjMZzHHfp0iVt+e4vPsbjYgAgc9AzlZSk0W63EwRhNpsZhtFOhY+wCJvN1mrXQmfF+epbM4kgWt+wdim7IQiw8/L1nNRuAygFGIYx4fitCoSRZdmhsGuxhDabDcMwnudpmtYu41IbYVnWarV6lKpJktTr9drJ1FzRrVbAYX0XAAAgAElEQVSrwWDQTrL//SQIQjtFBoNB+3YUnEwvUnNu3GENzQoAnMgnliWLWsuOp/15m2Hz8IrUoN3BAMjca6XXA1AJXcqrrvl1ucNJ64M7pJ52tfIPq1XbMvF7fztRXR/vZZ54hEB4xPHIysjIOH78uD+jvAgEAoFAIBB3LEiAri6U+l4UFBLcbc60/oXH+10/2Gffn/el7Ki/+FMiPKRiu4EZAgjoY/cdq9i9V08MBkP48wHMPi5BlFJeet/jmtwVW8ogilEUlTLac4M+wCiv8YzcwVPaQsSwR1vs/pm1cTiO5y9cI0uSs8xnt9vtdnvrA791OLu+1hMP4ZTh4qC3rrz6EQCEDO1TuHonAJzsNoIXBEN8TOSTD7c7shx0hBYA7rlLJqNcQXGpdyBXkpK9rWq8YJqzSKfJZNrcc//b9z2vRxAEnufN5jKOyrhgNBqNRqPHl3ZNSbTb7S6FdrudYZiAJh9ViACtqmp+fn5ycrIsyxiGdflnCwAoFrbypkHZ7XaLxaJZM1utVs2cxFsUMMuybU+t0seV+P/KhaxwIT32Q6/B8gBg7tm5eEkFOSfXsvcgbjK5eEBXjc+SZkdotVopisIwTPN0NplMqqKYzWaO47Rcmn625nKWGIYxm82qqur1ervd7kjqCAA8zweqGXEcZzAazWazosLcQ+zcQ+yCY1bZKTadVEvGdH9O4l3U7RNFhi3Dv1FIX2HmlrsfEkMrPVPrlS5DVcGzpp/YaWjyrv9cCuMaNi4cP9sf1xKsrNY3giCcPn06yYnMzMwKHK1UVbUa+lMjaiJGo1FVVZTIHYFAIBAIBMJ/kABdLVAUJdC/YkMjI1sOfLjvxX+6Xf67w/E19yZvjZ08ujx9MDaskzBzQpsjf4Lfegp/OpVjy+tMXSO4Z9YUY+vGFdhgcM97yuAMoNPpQPbrVRwzlqgbqs3z2AbOmJRCFgCC7m2XMOUlXAU8Iydr+ebcVTuSOz0ty7IW3Kcp0ZIkWa1Wq9UKAG0PLwcAMT0LADgtIhvHYj95nd3035nHx2Yv25zy7ld051ZkRKjH/Qb1606GB21tN9BZVuA4Lj8///r160VFRSg42jdpn7v6dGu02fcrJ5aEPzsiRgN9tpQqOMqybLFYyp+WkGEYSZJ8h2a7S66aekiSJE3TfmqjOp3O4B9ms9l3BVEUU1JSJEkyUhRQFACo9qqLqdSMKbyttdlsOrchycyp82Kmef1pCL2/JDOtZdNf1F3tHcqsBo7jVWPopqqq9rQhCEIbYMBxXFWUol9+s27fCQAURQWk9buMUlgsFqPRyLKsJEnuWRZdTqyP60oTxyVRFEVxQaLnr/54Dph1xTedqMCiJB4wzEBA8+Bi6TPJoj/bc3Rhuwc8bq5ieNATL4V+8TvbsYcfB1pGFL3h/ERf1l6nH331xLK1Lk+P+KYtbdMXy4ZSZiGoN0a/AsJut58/f95lj3l5eWfOnLl40XPCwzJQ4abtiDuTevXqZWZmHjt2DP3FgkAgEAgEAuEnNdUm/DajPNaEIaGhIaGhABD+zstblm8SLqSVoRE82Bw/9ZXLE2fl/L4RFCXi6Ucxksz+ZXWpGwo8b2LKYqNZs8BxvM+ePy4fOp761SIpO48/d1nOKyxbUwmfvn353VmE2VS2wBmcphRr6V4KHkWx0EfvZw+eYO5qlb/5X5AVMi5KKrwEAEFd2+dt+e/SO1/R7Zo2WDCNYGhbWsaVub+J6VlFG3dHvzCk1tvPaYGokiSxLEvTdJ0PX0ubOjfukzEZE+cAAChq5sTZmFEPALqwIEVRmi38EAAON+l3Uw8wLPaD0demfad9Orpyg2Xt31SHZuY+9zjXyl++Ne/XjdEjB7Z/d3SNzsZQSdjOX/ZYToSYVWvJgBBFUQ4xEcdx/1+S/VR1tStBSw3nZ8sOcBw3mUwuWqc3SJJ0f0LyPM/zvBYn6xIl7Y6qqn5OvfenmiAIG9r0586k1vn8Nf7rOfx/++Ceu/xpvELw8WNhMpm4k+fdy6+9/33b/UvpkGCc1J39fEH2/JVaecK3Ewrf/9xRrWDZGtlmC33zReeToNPp7OcvGhvW5Xm+UpU77U4nCEK7/NjtO3GAgh9/VvPyASBu+zpRFEv9oh1olxbDMCzLmkwmjuO0ZS2Y2v2KFUURx3Gz2czzvOZCzvO8JEkYhjkq63Q6bTQuxyr9niQ0DwPnJ3ikEeqFEUUCcBJEGNVwvbz7evHfV5ICi07xigqnCwkAuFd3Pf7TqZCfnw9Q0L1bWIMQ84mSWGMVJ4T3f4oIDgaA2JenZF95jpgzkczJDPiElsbVtv2UxaV48ac8/x6fldvx9ZHOz4ToWvHq3PUZy38I2rHC24b2Bq3KkL0lNTXV2yqO45KSkmrVqhUSUgGzvkRRRL8siPKAYVi7du1+/fXXjh074jgeFBSkjaQOHjzYz0srOzu75mZqQiAQCAQCgSgb6K+fW08FvtXT7ZqXTYBWCi0Xhr8LAGLGdQCIn/SS7UJawdZ/xWs5vjdk0zNCwsPKsMeaSO0OrS39e1ye9HWZ1WcAUEMYACjYuifitafLMPCAkYHdsxHP9At9qCvVtJ6qJ3mejyEIvV5f97Nxx1r0wwzFr0lXPiuOgxMzc7ijZ7LmLBXSs+CGPp7148qcFVuM9eLr/vwhhmGqqlqt1oghvXGCuDTpG1yvo+9rzzzYOXPyXNUuAIG3WDf3wviZx7s+V/v7KXV++TBt+FStHUPjBCKEcajP+ga1tVWKJLkI0Nlzl6k2/urHC65+uvCes+tjascHepZub4Sr1z2UYpimoDkKnM2aA3rI+G+5oBkmyLIc0JWsZZbzU3323R+O47QQXbvd7mNKQcWaSKiq2mzVV0ea9k97d15su+i8z76O3PRHlYVV+rBC9hEeHBIbHRYVCQARX03ZHxWW+eEP0RP/56w+a1jWblU5e/jkNxxSryAIRtqk5QCskP57hGGYq69OtCcm6erWxhQl6N3XuM++cq7AbdhC93vY/4EEDe36BABHskGLxUJRlMege0VRtLUEQaw6zRYKMKwVfalQiqcwkiR1Ot2eNHtiloXSFacZPJ1Xsm3jELjK6xLzii+zLDedXDPoaGe2N571HtxwEgcA9Z/duf9A3oM9ooJtVFqyMHVBSO2EIKfY4cj4Ouqnv+akJGM/fWK4XmJqVNi1H3U+UZ/l7899bt8RoduX4UJxzxSd/vwHS/3Z8MqkbxRB7Dz+JedCDMdrPTW6qPcQ24JPTOdcnbhkigl/Z5afHXOm1EHZq1evXr9+vXHj8s5G0nzhq8ZbBnFbgmHY5MmTDxw4cP78eUVRCgoKtHKr9Y6YFIhAIBAIBAJRNpAAfYupWEfClp9N+PePLeVv53jrAUH339VixyLZYj3VbZgqelV29MEVYwVb/Uk9mXTyvmfLnLDRQdro6QDQdO1cLnD1WVEUucCXXSlGGRyGGzhlaH1ghdXGqarKyRLYJK0FURSx8+kAoLhFSfOXM84/N8m9Wdlqg2DamphsbNlQMz1kWVbfq3PbAWusB0+dHzmF3XkwuG+3+JefpBrWvjDmY8AwKTs/7YXpclGxyJjwy4dpz7/vnJmKTIjjz6cDANysAiiCWOIZoih7mzx695n1cQml5VK7Y1AURTNOccFYN05RlKp/+7XZbHq93v8Ia4ZhbDZbQA89RxCrx7WKomiOHFqIq//NlgdRFCOGPpSzfAv5yEP8T78YcLzKZvV7U81omj7SbIA/m3eZ9GrO8MEn7n3EYwV2+z+qJEVPn6BdSwzDpL00ge7RlX5mcBlcg/zHnpgEANKldADIfXUSdbPbc8E38+h+DweaQU5VVZvNZjabLRaLsx2HdrkajUaXkGrN1IXn+QfzEhfrWx9KZ22KLlYvUxT13WGLpAAAsJ6+6RgaLttLVzMbf/ouZGRAp05w6NBN/fxrZxaAbvq0ZnXru2+FYVhkw6bwyS+yJGluXTiOm0kyc88O/cKP/ToRAKFbl9Lfbsy7lMIlnwjZujSrY3/lV39zIWZ8MC+5W4cmnTu6lAeFRwS986UoCJnHDxFJBw0pp4S4+krXh+Natq08Y3RRFM+cOdO0adNyysc8z1dS+lDEHULTpk0TExN/+OGH5cuXW63WzMzM7OzsevXqVVSCBAQCgUAgEIjbD+QBfYup2JzsoRHhDTb6nafeB4piO32h8N8jhJmOfM6XqGG4AwRoVVX3vvflyXueLr/6rBE//301wEBmP3G2e26y/CuWs7rHlJnN5vPPvQsA4tVs361RrRuZH7wLMAwk2br7qL55fYqiGJp2hBPyPG++u3X7M+swUmds0zip7yuHmw/AosKC+3fHKINi5yNfGVp/w2xdZEjayKnO6nPYiAHsjgPasksiTcuWvTcfkpq+cefhn5bdIal+VFVVfTrC4zjet+Cg+78Hj63OWbHNOXVkmQnU0VIQBEeotW80jbgMQ26l+smKoqhZgvjZk3LC8zxOGQGAL+AB4Mpjz5bfEdtPPJ4KLajc2fndhaCwmwzZI2rFxs32ql1ad+1JvW8AjRP6vIKUrv3Fy1cKFi2rVLXOarVGzXin5LOq6l99yaVOxsCnGIYJVHYkCELTzR1Xtc1m02ymtWyWzpUxDBNtNvj0Q9M3n1GEeuQ6nM6RTDQtyzKt87VfUSm9V4Plc5CRAQBB777jMdGC9N77is9bg9DpSL1ebzDoSBIAgtp2KXWnDnBJzFy5MKphk7p9Hw+ZvUbfuI3nel6O43SP5zMveXb+IfX6OnfdW2vkWxEzfop7ZXJ86/aVpz5rKIpy5syZ8v8iIOteRDmhKOqNN97Ys2fPsWPHRowYAQDz5s075h9lMElHIBAIBAKBqOkgAfpWUhnvPy3u69Izc2+TNXMjX3g8fsYbkS8+YWhWn2rfPPTJhwNqR7yWc/HlD1Lf+Kjo36NeKxGEuSIMGaszqqrufeeT7K8WV2CbYV3a+U685g1BEAwJcb5qOKkzZF0PNU06UhFEzV5D5Wyhw/q6VKDaNY2d+TbGmFQVuMTzRTsOgtEQPPABUNVznZ6+8PZnqeNmOirLssyyLMuy7U6sKvhlXe2F00BR83/dCLICPA92e87c3y72f13OLXDZi8KVBB4aEmJLVqjqtek32ZKaurS+OnZW2muf7Hx8zO2tQbMFhfs+/na1qe1qut1qU9sNLfue3faPoiiSJLkceLAnKIpKe/9bNd9XgLyflOE8syzLMIxvjZKm6TJHKLMs64+2brVaNbdfFwmsMubahz3SFQCE6/kAAFbOevps1WjQ7sei0+mkC+mqKGE6zz/oVNsm7majTfs/bLzXl3V1au+h6U+/4mO/FQhJknlzFzmXFH75AxYX61yCBQelz1nKMIxLUkofmM1miqLcj10brgAARVFcRiyw4U8SSScBoH9s8TPq1xNWgiAGN/d1+fm4YXSY+qh68cmk1eR7U7SSohEjqTff9Fj5zI8/+jygm6BpWgyN9r8zIduX2W3F0wjqdm6viwn3UMn7kRzs8lSlhsADgP/KtaqqZ8+eLefuypN7A4FwgGGYljTVseAPyAEGgUAgEAjEHQiy4LiVlOf9x2q1ZmdnO2bc4zgeHx+vTf0z0XSTHvdBj/uc68uyvHHZ5oB2QQSb6816V1bVU20HeawQ+kSfyo51uuX8O3py/m8bK7bNMg88iKLYaMmnp7o957XGDekw9OH73K8ukiTPPTXefu5SSUl0iX83ZtBHTRhxbfoP3NGbXuxVG1+wehdG4KAoUMg1WPShJElaKKIsyziOy0XWgh376Ac6FS3Z0PbAb2JuQcHpCzGvPAmipNj47GWbVOmmsD6ydkz+im2Oj7roEh3EWZjWkHOKxevCjf8eXfxnh+FDvB57jUVRlH0ffJ31xS/OhULKldMDXj9946O5d5dmH70Z37Kp++aqqp7969/EAWMAx3GTAZTyxumX7fpkWVav15vNZrvd7u4XbDKZ/M8g5w5BEP5PFtEcOUwmk9Vq1aL1K2PoQh8dDgD5y7bWnvm68NXs/DETCoLMMQvm8JSx8iIrSZJ0PxYcx08OGetjfka0l9HHLr//8F+PQeKFixXZxQDR6/WyLBMWq3TtZmdzVYXWbSHDKfnewMdyJs0pWLmt9e7Fer2+1MEMvV7vyFvozcKF4ziCIPR6vSAIFEUpc78uXkGSK68aAYDAoHcDCgAYPfFaJ+ZwOrv/mqededeSIkiZHv/OTd+ZxWKbNQvi4rSAaGeU776XRo0KIDXZhK9h4lOuffFePefgv/Hd+wAAhmFtV805fM/T/u4IQCmy7nnt/e7ff+T/JoESExOT4XZOvPZHUa5evVqrVq3y7BFlI0RUFNOmTZsyZQrydUEgEAgEAoHwwW2uHlZnypzTyWKxnD59+tKlS85+r4qipKWlZWVledsKx3EfL8keabT0c5bj7HZ71ItPeKzQ7IM3AmqwxnF6xz8Vrj4DQHlSn5PhoaVXAqjz+TiXaDUMw4xGo7P6DADszgMRrz8VPOD+8P8N1MVFXZv+g0s7bQ/+ZqxfCwD09WoBgOVA4pGm/RJbDjrarP+Rpv2Otxh4tFn/xM5PpY75pGD1robzpgBtlKNCwnvfE/HikOAXHwt785m2iasSPnrduc2wZ/qCUiLIsLuPOJZzf17nXDPh14/58yVZti6P/vD2C4K2Flk2NOrtoj67Y9m272Cnodv7veTsX6Gq6ukdu1dEdj7W6wWFsxNBNG6qAAsOVVXLFpwlCILFYjEYXI0gKIoSBKE8Zvf+e0xraCGuRqMRwzAtSL/Mu/YGGVl8J6aPm01NngAAIMvXnn+tQlxQ3DEajQzDaIbX7msJky/VI6Z/D4/lGIbd+9cqQ+d2/nSAO3Tcn2oBodPpDAZDwdTPLw0Y7mGPqzfr7r1bWza8Oy5z0hwAkLLzTz34/NVvlviINzeZTNq34Bjz0DJVuodOm81mk8mkjdURBKHs3qWVH3pvvqxiANAskgwmBIvFYrFYrFZrrRDPX66Px1IjNc/zCi8DKim/L/PalhthUdFFnfv4X1+/u+QBW7tNC/ODnT3X83L35y3ZkJXq2YijQggJcEJVQUFBOQd7ZFm+/X5TELcEg8HAMEx5/rpDIBAIBAKBuO1BAvQto2xyTHJyclpamrdXppycHG+rMAyj7+sQ0L4MCbVomtZb7dd/WOG+1tSpRURsTEAN1ix4nj8/6PXS6znB9Lzbn2pZ3y93F+n8xJ+35Vb7fndPRkcQRP7WPc4lZO0YXBWLfvzdtu1v0z1thNQrWjlu1HdMXq8tH7/raXvKFbpbO3PvLtHvvRTx0hDzI131DUpSApIJsWEvPKZvWk9huSPNBmB2QcurqRlHaGnxIgb36nBmvWOTnB/+dO6G/UxJAGbeorWO5eABD1we5poR8VziyVIPvwYhiuKO5n2ljFLMuB1Yduzfds9QbWghae+BFeF3He/1gpxbqK0lTFSFzJFXFKX8s4P1ej1N02az2WAw2O32cnasbP2x2WyVF4wsSJKpUwtj8/oAcOmVz+mJb6lWTrWw155/rWKD4Giapmnabrd7s88WRTH8sZ4+WvBhNorjeJcVC6me93mr4ODapI8rPLmWwWBI7fMkt/+ItwoikABgfOPVtDElzj9CxvW8VX9hGOZD67fZbM5TQLRBCI9PXUdktPOjNZEtrtm9jt5x6er1+j/PerZO8vFQrpXtqtjq2rcPWr0KcnM91he++SYgSTTm+XH+V6Yu3WSd3H3lt559w73v/8C9T1XePYVhWHi4J2MQ75w/f76cO0VGHIgKR5bl/Pz89PT0lJSUCxcupKen5+XlVbaDDQKBQCAQCET1BwnQt4YyvPOIopiUlFTqn7A+Xg7bLvCadcpbWyfbP3b6wZEeV7b/7WuP5bcNe54KLL670eJP2R37/amZOXdp6lPjy+YYK4oi1ayBt7VMl7btktbbMFf9wGAwGAyGS29/WlKEY7giCMnF4q99/zHHGsUuHG7Sz/Ex5Ine1r0ncuatuDZtfva8P4o2/sdfSFcJIu7zt+ss+lC4lJn7w5/8mYsA0OHMWsyg13bnfB1aLBZJktqfWgMAoc88IuXcZAktXr156v0NuGNn3Auzfljp7dhrIntf+8AhH/uJ7cT5Az/9/ru+ReK9z8n5Rc6rhIzrmL0CxJQyR0Br8DxvNBpxHOc4zmKx8Dxf/hjDMven8sIbBUFotGCazHK6qDAAuPj23OIVOI5byuXETZIkwzAMw5jNZpqmrVar+3iSA6PRSNM0YaZ9NBhV25dNAY7jdy+cQ/W533evFM7mK9A3cDAMy1+wVGG9HhoA2Hf8qx/Q9/I781zKpew8UL1OJfH2pdtsNpcLyWKxaAkJQfvppIufyZFUcQtFTveTe7MMCW/dFzX7mfbdm3rwYi7GzapYSkriWNa88CfwaP4gimlHveddcIMgCPjyz9LreYLUkw9c2OptbfD9ndwL5SLribVbyrY7f4iO9n4mPSFJUjkFcVVVURA0oqJQVXXNmjW9e/fu1KlT8+bNGzZs2KhRo6ZNm3bs2LFXr14rV95Wf8AgEAgEAoFABAoSoG8BWmRoQJvwPH/u3Dl/aubleZnwCxAeE3336U1EpF8eDgCQ2Gag6kXvrrvoo7DoKD/bqYlIomjZvi+gTVJeme5/ZdvZ1NRXppchDTrP8/WWftb21LqQ3vcCABkbGTGsX6v9y1qfWNP21LqGP0xzd9o1GAx6vZ7dcwyjSoLdav88Q84uuVQKl64DT4Q9+2jBim0gyXS7pu1PrGrw7SSqST0AAEnGDOTlEVMBoMPZddq//M3/YTqCoijnyxvDMJIkBUHg7PZ630yUcotCH+raeMnHtae+FHRfeyKIVkVJp9NRFCVcymAeLM6KFvfJ62KaB7NV6/HkQM9YtSUv63ru4g1l2PDy6BngRXqz7K0An4RyCjqa8W7FajrV02uel8RmSz9TFSWoXzdVEKlJ4wFAzrhmvZIRqLEshmEMw9A0rTkXaxG7FovF93eB43jygDeONO2fOec3b3XCh/UtVb7HMKzLgm/ofr19V+MOBCCMlorRaMxf7GFujQtXl/ztUfg+PWjMuddmuKQQ1NBsnd3LcRx3uSwxDBMEgWVZk8lks9l0i5aC3gAADx9brVXYdN7miLN2bhMDGNc95pOhHeon1MYwrE6tuI/6NTEQbvbcoKrr199URJJBf6wwBQdzX84yzJ0Dni7sovETArp9zCGh9mk/+7OBTBpcLobg0NBOJ9Z4rMwe9TAECAAXh00U/DZkDxQMwyIjIwPaJDvb3xkk3kBB0IgKobCwcOjQoYMGDdq5c2dKSorDLonjuIsXL/7999+PP/74o48+Wv4rFoFAIBAIBKKGUh3f6m97AnV/ttvtFy5c8LOyb00zKr5W35S/H849/MDV//pkH+yWuhOjAp4tTtaPb/3Yo4FuVbO47E1q0Xk9vQrrIcmVD4p2H4ZLmZpNbUAbaopJ3VnvtD21ruGGeSGvPWUDheM4lmVZq9Xl6tLcAFRVLTh3Ebshipm6tMkcNdml2ZAnXOWn8Bcfy1tSrJA2/f1zTuR1nVvWX/5Z+9NrAMPI2sWhatYT51RVVQQx9JH7AIDACW12vJJ43kToCuavTGr3+MWh441Go72ItR9Ljn/3f1izuqYB3evMndj2wO+Rwx7FMdxms6W9MD325aFN186u/f3kjImzXTqjrxMb+8Fo2/GzbFG5wkurD8ffCnBGghORrw31WM5WhECvKEoZhkaqJ5VnFwAAqqqKtKHdniW2w2eAwIXc4oD0wnc+IG0BZFw0GAwURbEsa7VaXbQwm82m5VH0CEEQ9pR0X01j2D3zpvnZjc7zvqi/5XcfFTLGflBRDtckSQrHTvmyrgAAANPDPUIHeTawtidfYv86kL1ojfvgBM/zHoOjRVHUnrcMw+A4TtO0lqySIAiO4xiGsdlsxJLl0KSpfu2fI7J3A0CuTfnuqC1HMtI0PfdQifv2853CEm6OKzcYDDMGtq7L3HRIbRk3yw5FkWWZZVn8vam6qCjTp594OLbc3OupqV5OiWci4+twY79RS/spKer1pHthfIN69RfNcC+Xi9jY15/BPA2lHJw6K6DuBURUVFRAl1l+fn4591iGmAAEwgVFUfr06fPHH39oH4cNG7Zq1aqDBw8eOnRozZo1o0aN0so3btzYs2fP8mREQCAQCAQCgai5IAG6qgn0VUdV1ZSUFP/r+5PGhyRJzZs1JCKcCA7MCEIXG9n78NrS69Vw0r5d6nmFVJGvDcmPv5l095Ps75upwFvVYiTdBzNMJpNmGmsymcxms6qqOp0ud9Vf1z//Rcy3Mv16xH39jnAk0b1BplNz548x01/JdTJrPtK0v2YLQBRxoKg4ZShcvVNbdfaJcSe7jzzW+rEjTfsfadr/2vqdAJC/6q8LL7x/vMMTWQv+BAD7hbTjLQdmTJkrZGbnrNgm7knkt+7PmbfiSLP+mCBeeefrq2/PDB74gBpkwkgdn3o16F6nxGg4Hj15lJiVkzntewA4t3hVwCer+iFLUsHqXWXe3NCwtsdyY0Jsmdt0BgnQ/rfP83yLdXNAVrIXrAUA4Hng+cwX3/DfY4ckSYcTsTuyLLtrrDRN6y22/CWlpEhN+HZSQLHYdVs073z6P/rxft4qYPaKCX1Vz13MeHNqqdVafTn9vu9mhA71mmcv48uf3YOgRVH0GDKvhRXTNM2yrF6vlyRJEASO4xzJKimKslqtug8/Aww3/jx/xLk1BAYAsOG8/dvDJVYhsTS0blzXvX0Mw17t07p3QskJb/Tle66VZFkbcZRl2Waz6erU8Xhc2R984O2QvRHTvJX6+QohKt5bBRXDo/t6zifcYvDDHhMPXv9lneppvDx73vJKVdDq16/v/7isLIp511EQNOIW89NPPx04cECn082YMSM/P3/JkiWDBg3q1KlTx44dBwwY8OOPP5Qd6/AAACAASURBVLIsO3PmTL1ef+LEiW8CtHpHIBAIBAKBuD1AAnRVE2j481k3B0nfBBpOq4oB5EUhgs09T2wk7oA03/YzgQWglRnVLmR+vfj0wy+UzRLaBRzHeZ7XTGM5jhNFked5DMNC+twDAKCqdLsm1yd8dtM2N2K6cz+fH9KzvfYvtG/na++5+q4ebtIv8Z5nT3QbcbTlIIUX8hZviJk2WlslXi9284j74q2Md7/O+GZJ2vtzXTYPGdJLm0qfOW9Z6hufXZo8+9r8PwAgd8M/BX/tN/fukrdoLRUajEWH4gZ91MgB2lbhI/rr68VlfbxAFYpvnKylpYhuNQJLfkHplbyDe3IYAICgru3L02xJ++W2vKjYt+sye0BXtgBN07ROpwOTAQDEtGv0+NcBADBMzc3LeHqUdlPrdDqGYUiSNBqNFEW5RHcajUYfFs8AYLfb3TXWol2HMldssSSVMjOm+ZNepWSvR2Q2d541o9WBzR7XXn5qdPkHJxiGufryhFKrxc2eQZvNAHDfgk99VCt0c97X1GSPT1SH1m+32/kbPhJWq9VkMmlbmc1mnuf/z955hzlRdWH8Tktmksl2trELLH136UVBBKSIAoKAIlWKgIA0KQKigEoTUJogIgKKCHxIB1FBARWk9+IufdneS5KZZOr3xywhm0zaFlC4v8fHJ7lz5s7NZGaWvPfc92CLlwEAyD0/vrV9dmDJKn04CiZ0quvqgkQQpFPz2CEN/XBE7rNrEbh/3zkGtdM6Ra0WCQpyjpEvXynFI8I/KDh4wUbLjK8krWMGsYQTwuxvtKR6ZjGO4zXWfOTcLhYatXVjVHaQ5Wv/26fSXn7ExsZ6c9db76QkPjPwaNWO++O63Ll0tSxHhIIgpCwcOHAAQZD169d/8MEHqokger1+8uTJO3bsQFH0l19+gdcbBAKBQCCQpxAoQD9SfE1/NplMPsWjKOqrUqNUjfMGuv2zL909qtFqPYf+9xELysHnoeX1n1TTylQOV2S+3PwNRaUq9eGUReW2xDQMw3ieJwjCXGTMOX4eABC1/L3cT1c77vYgp1sys+zf55X/mCOnVA8h5D2omCdKAID8zSVUqoB+ndOnLQUAZK1VKYoVOKCrap9capbMC3xatv7ZehZBoPR66637dIM6AIAq6z7K/W4vdyfFPl4sKFLt579F1hV1r4y62z6r84M7uU0BVXXOQRA8IqSMAyvuv8wCdFnKGJYjFfcjH8MwpUIgwzAsyzY8+QMA4M67K9AhwwCCAADQSsG5i5bhOE4QhMlkEgTBYrGwLMuyLEEQ1ANwHPc4SJ7nlfOpOKqjKMok3M1Z/WPRz8fc7YYgpXbMqBQZSdSt6dwu5RWU0YWDpunbrbt7DPMf+1adHsVGTyiKNvrbpck1ez/N+RAoiqpq0K5stc1ms2J1YjQaNRqNpVIovnErQBDszq03Fg19g0rGH9wQ0zpWcWOKolCvVrU53ePA2bOqW82fzLE5hLAsa9iwXjXs/vLl7o/iiko1avut3AcWbcsa+F5Rq675rwwtHLuQXvVTUHQ1N3vVelXdAdyacFe1/e6EBRWqoCEI4lGDzlz03b03imcyuLupF1sMONR1eKlTs60VZmwNeRq4cuVKeHh4ly5d3Ie1bdu2Zs2aCQkJUICGQCAQCATyFAIF6EeKr8s8k5KSfIqvXLmy56CSVFv2vjdhMVs+a7/7a1VjzScSTXR4GXuovW1paHRUlS+dlmC7QGItF+t1v9V5FE3TpRPvJEniOM4mHVIUJYoiQRB3B7yfMn5h9BfTs99f7H1vumfqeYyRLXbXM4oWbvvFTXDKFNe2oThm/vtS5WVTUQIvTM2IHNIjfddvupYN7g//SOWg5eqC8riwmk2q7bm7fqcb19U3rINoCABAxDt9Ajo+6xxmOqbiUe7ftinLsgAABEGesFu11HK2KIoVZCfikLmMBxiUF+nz1pHvjAAABH82N2TaRO2DKSV7uYHneUWJtlqttkJVbrBarYqvDnf88tWGvW91GZu2woVHkB11f3JcheATMV8tUm1X9WTwHgRB3Fs/I1pNgzMHm06bYP+lV2sYH/2lo229gibyYTlcRaCXZVnJGVdcNXwYGAAAALPZTFGUSRDxLTsBQBCOC/pk+vCFAwbhN+sFI+GhXpXIIwgCuFimICYk2F+TnIvzKe3adW39+tKpVAiKGoJDarTrXPmtyVV6vhnVuLnHdUsUrUdIF7PRhMq+EmM5t3RdKcbmPQiCxMXFGQwGlW2ynPjsmwXbfnVoNh4+s4duknnfrTG6a6AmCCk1ycnJJEkGqS1osEcpNpuWlgYvNggEAoFAIE8hUIB+pPj0L06LxYcyVgp+fn6+7lLnxbYAc3cZkPVrvXD/j/pdX/S15/80BnsPYt+Jmv9ubOf2AIDGA1+L/myK9zvyWbkX63VPHT5ba7a6Et30er2rTYpQZXuL47g1LUsys+Ez386a9mndQxvjz+w2tGrqzUjC3n/LYwwW8nCdacjbPYHby5u7m6rSiqJRSybjOOCuJhbuPMReSrzVcWTusXPBz9THnFQPTbXIysunEhFeCUD/clBMXQ/K3vLzubgelacMjhzXDwCQuWF34ZEzzmFk/VrOjTGLJysO4DiOC4JAkqTGhQTmkbI7VyAIUl4/sA0GgzcqrSsejRZvsVi0tavqmsfrWtRP+2IXoMis1wcxd+4Zr/7jRgH38jzTlO7ejOXnY1+9M34BAIDPyPG4S/CALnHtnvd+/M5ExsQAtUT45IFjSndKlYp/+dv2ug9r8OfekPAwld1d3DKAF2yZzrIskySZ8PrEhN6TbMKllxq02WzWPljfYzabDQaDmWXxbbuRJs2URt2Cj1qtnOZNV8UEB6s24716ernSRVq+4mrzZyysUyXDiqHSW71U22uquXMAAJJnfsGafSu9WwqqVKlSu3Zt+z95Ql5hYvMBwHWm8/E6r2TcUk/cdg9MgoaUGo1GI8uyxwR8SZIkSSr1n2YIBAKBQCCQ/zRQgH50+Or+nJ6e7lN8FRfljNyDYVjLK/tVNxFVI5ud39Xp+HY/LwobPmHUmTSslHsiSIPD3zYdN9TW0GTkm9U3zPOpD+bKjWsdhjI7fydJ0t4MAcMwSgT5+47SNO1gC6vX65UigTbVT5ZlAsONd5JDer2Q//nXEWvm3H13Tv6uX0WTObDXS8gD62eymVOmM44Hjhkg5Rc2PLMlbFTv0FG9XY1T16hO8YfWU7lqths2/F5p41y/Ud+qkd8LjdOnfq4kNecs/d6ScC/orR7m306TNaL9WhcL5do61cKmvUW3e4aKr8klJgW+1MrNgf4rVG7WwM3WG2/OSP18IwAgcmy/hidVzAfw0MCQUb1DxvSpNL5fpYkDQ6cMCpv+Fu5HK/bfyqPGYrHgOK6eP+gJi8VSRg+NspjJOPRTiqk4eyooA9rBpUQQhDqbPw0b29evWT0+LQu83j8j0Xy98zjTzbJmuhEEcbXz6Nydv0cuGO/lLkF9X26zdn5ZDgoAQFFU20TlKuVTM0hSzQHGLQiCmL7ZfLdNj9zla92EkR2eD45UL6TJJDlabShk/7AfQRCDwUDTtF5Lno/rxl6/zV67xecWAAAUE3xvRihJEoIgygSeLMtGo5GiKIvFIk6aBnoVPwORlOTcrCxvegMAUAvVvXT0AwfahoQgiMa9ms/zN9t3YMowAeM9cdPeVm2/9daHyoIMZ66v+19FjqgYgiDi4uKqVq2q1WqNB0/c7jTa4y5/1++RX6rKhDAvFVI6YmNjCwoK7t71MPORnp6elZVVs2bNf4lLFQQCgUAgEMijBArQjw5frQmVWklegmFY6ZQmAEClqMovZpwI6Nel2LrUjw4Z06/xH5tevnwgsmb10vX5XycotFL49OEuNyNI6FSVBOGQ8QNezjoZ09wxezq+VxdNNZ/dUVIXfpP48tuZH6ygaZqiKB1A0yYuvNKq//0ZSy/Ed0ub/7VN41O8aE0PUBo5jsM1RFjbZyqN7Bt3dnfIM41qbvyM6vpC5OpPAiYOiT25I+74NgAAQuB4VLhiBY4GGILfGyFpdVlLfmg1tH98syYdVs+tNXGIqxGScTWUF5HzxrpfVm/o2MKhJXLBOMupi+Y/zxV3Vb8WAICsG5O3fpfxzBU2M1fghfBZI+kXmvPJmQBD+fTsot9OWO6kpC/93lo2RfLfgD7A35uwlMXfXmze17k956vtOV/9mLPqf9krtmQv3ZT12cbMT9c7p9Mq9sQ2BdbhF68bo2fFx8CbEaqCYZivdkOu0Gg0vk7d2dDpdEpxuXIZiQPO54eg9WJ6TuWx/ar/vDLz0/XRX88EAJB1q5U9nRzVkQCArKWbvIxvtHhquXzqKovVHYSSh0zwyQma1un0en3RT4c8xCFIg+ULXG00n7+u2s5cvpGxdrs1MwdBkPuzVtoeRNc6DqcoSpIk7//yWiwWjuNsc3s8z6MoynEc0rsfqFpNaUxf5O1sYo0G6pNM5gUL2AdJzSiKmkZ5klMZ5nb/ARVdThMAQPu7XEFlqwHrQPInXz0yxZam6Zo1a2av3Opl/JHqL5XipJXXgwvytNGkSZOCgoJJkybxPK96U8iyLAjCtGnT0tPT69WrV/ZCCxAIBAKBQCD/OeA/gB4RpS6M4yV16tQpy+6UTtdmzYJuBRe65p/vmnzsuQXToxvXf8oTNJ79YFzlZdOd20MnDe6cfarlzAmds0/X2/dV1IoZVVfPanFhd5e8s63mTdWq5QaiKNrx3G6qWbyvY+AzcgoP/X2xXvcrjXpdbtHXaOf8m7P1gJh4DwCA47iqQkcQhNVqNRqNVquVYRij0Wg2m0VRFARBlmWGYTAdFfv79+zpK0JKBh4WHPjuUC7fkjF3rZhXBABIuXsPACDL8vG66sUDAQCSpXjBctZCFTNQlCCi1swMnfYWACB/WwntqfJnkzJnfmHfYrlyEwCQs3ZH6ORBRGiwvkpE1rJNpmMXyNpVZVHMnP+NaDQTEZWMPx+XzOwfr77j3fn790JoNP7d2roJ0NWvhRn0AU7CvYLp8GmHlmoLJthbEttQvDiU10qaPEVRig2lXq/XucDXrGGSJJWSejqdzmAwkCRZLovZlZmV0u2L47hy5Ze6B/c4P9LNZnNoz445Px40/3EeAJC9eCOi1TCHTpXFA4SiKPOvJ9iEuwAAISsvdNKbHnfR1q4aEKJu/uArUTXUJyC5W3dRX1RHa+Lt2893l4o8pPE2OvWLKw1U4Pmiw2ciFryrujVtyXfXXhh6PrZb3p7DtkbJYsUwTHGF9n6oPM/bLn5FgCYIgmVZbNEyoc9AAABy6FfWu7lhDMNAmIqXiHDipO2WRFFU8ialOikpcdWXXn6EUpOX6XIk6lVPAZBZC/dopwMNbZt5GyqK55Zv8LV/mAENKR3Dhg0DAOzfv79ly5bfffddQUGB/daioqJt27a1adNm8+bNAIBRo0Y95f/AhkAgEAgE8nTyRBWq+jdT6iQ+b6hbt265/FsWQZAKWq7+H6XZsH6NBvVOPHHaejcVCw3UhwTHNGlgO0UaUlvjhZbghZbedEVoNC8e/iHln8SrA9/jbt73eShqv4pvDJja6MoejuOck7Zomjabze5/SxuNRjrQP/bID0mzlgZNGnr3pVH2W4/V6dw9/yxvsbpJbTb9dQEAUGXjXJTSyoKAiKLMi5KFw8OCMmcst966r2sUq2scKzNs3roduviY8IUTC7YdRLSajOnqBQmJ8OCszzYCALLPXMHDgkyHTytKq75VI/Z8gsAUKx2mP89lp6ZVqhzp5tP9+4mdPebkvj+c28mGtWO/nWe6mEA3qH1zjEq6ZdQX01PGlVjdj2iIoB7tXSmtZrOZpmmTySQIgsViUQS1Mg5eMSKXZVl58ni82EpHWfrUaDRl/5iuQBDEWWGXZZnjuJDenQrPXssEwHIzKXhYTzYt03j2KqhT1af+URTV6XSFh09fmvCpzAu29uxV/yMqh/Kp7iTL1n9s9OlYbkAQJPCTqfmzVKoR3u83qvKW1V66o3B3PFfTjdr4RVCEy9Kvd09fkC1c6rRlIe/0yVu3A9idEzekLfkubMJAXw3E7dNmLRYLSZI8z5vNZrrX68L/NgEA7nz/XfxIzy4QkiSFr/sm45Vuzpss69aj/fpKksTzvN+WzUCWi/r2c9+b8M03yc+3im5cpuIE7sn6/YSrTfV/W3ep1QDVTazRpPUlHd4bBEEozC/ANYTBYLAlijIMYyoo1NaM9r6f5BkrGo5501e/XUEQnrAirpBHQPPmzTdu3Dhy5Mhz584NHTp06NCh4eHhcXFxKIomJCSkpKQoYVqt9rPPPmvTps3jHS0EAoFAIBDIYwH+I/tRUDoZBUVRbxaQ1qxZE6rGFQdO4PFtngPl8WMBQZDouLrR5/dZGPZglTaytcxLfWU59bMNUe+95SxAy7Ls6qojSVL5da3oZfdGfyKYzIr67N+zg/H3k/rnGptPXJIKjb+06N10q5pSjKJ4SEDo5DfNf51HEJA8+EP7jQG92hftOQwAQCgtQAAAQPdMvdxVW6yJd5N6eDCxNZ+4UuXbj+8Pna3hhIa/fXO2bjcAgL5VI/PxSw4S/NUPlrX7VkUX+w8hu1gVwd1NTVu2KfO7Pa52zP6yhO8q7kc3OrPFaDS6OZbJZDIYDEpMGSfDMAyjKEoR9RRduyy9uUGn0/lkQ2QPgiAoilZcMqNS7E4RuGmatlgsoigqdg1Wq1UTX71pwt6LTfsU7j0qWbmbR87EHvtOELzSTDUaDc6JN4bOMl9KVDmulUMobUDvF/XP1CeqhrPn/yk8cIxPzRJzCwEAiAZ/7uqe8rXsbzCo7x9qArSQnsn+ehRr95w3f6ToTm2zFqxwF4GitV5o7WZ70e3iSbucL/8HECR4SPf874qLGeJhQUJmnupemet3VZ48xNerVBAE2+SKLMs2F3Izw1DtOkpHfgNfLk9/sVNE9RoeuwqJisrQ64HTzBC3Zw/d5w3MYBAEgeU4iqKQL1fJ8+eDFLVKrQ8oGDK00om/yZLu/+WIJSXT1SZX6jMAwFJQBELLrTAsazb/1qQXfz/D1qKpGV1nzexr3cdJZrfzSSgK1C7FY0Ont9v0uU8z9FCAhpSO/v37V6lSZejQoYoTdEZGRkZGhn1AdHT0+vXrX3jhhcczPggEAoFAIJDHDbTgeBSUTvHx83NpyGijbt26Wq22FJ1DHiOkjupw9wjVOLbsXaFhAWJGpsOva4PB4Or3NoqiGIYpVtFK1mrlr2YS1aMAAKg/XbDnaMioN4Ts/OivZqIGvfXa7StTFmIBxd7iVMPaoZPfDJs2FEERMTsvffryop/+cj6E9VZxtmON375RXmhrepX+iZBaISv3/tDZAIDMTfuY5AwAAFmvpvn0VecE8Pz//fpfXystsOrZo1KR2Y36DACQLSXmG4Qi09k63XSeZKmyny6tVqvX61EUtcl5PM//O5Ua1Qzl8kWx3adpmmEYDMM0Gg2GYYo6rwj0jU5vEbLz/V5uJZlZL6v24TieNuvLC836qKrPCtyt5IIfD6W+t+TeG1MzP91guXxTzC3Ut2pU7dtPehScDYuOKr+PCIBy2bgoQJe1YAWFejX3KXuaIvUfMdC9RJi77aD9mHI37A2fP0FxrnelPgMAgCRZTGaO49w7VlMUpdfrlW+TpmmNRiPLssFgUMxqbF4rsiyjw4uXieT17JqckOD+Q5EkqdVqDfPVPaNN/QdwZ88CAERRlNLS0XXrDatWof095EHffK4VV2EXtjbMpXOLLs6l2m5Ocylb+wpjMv9cqZW9+gwA4G4lX+kw3IP6DICq+gwAKNj5+59jZvv69HsEjtuQJw8Mw9q2bXv16tUdO3YMHz68V69eHTt27NChQ8+ePYcNG7Z169br16937Njx3/lHEwKBQCAQCOQRAAXoR0HpfsxUruyubB1JkrGxsTD3+T+K3kB3+nNry4SfiWql95EIGt4L3/Jt7uDhmrv3KIrSarU4juv1eqPRyDCM4vNrk3UIgqBpWqvV2hs1SPfSbz430PTLcQCAJqYy3bZp1qIN2hpRSf2mhoztBwAw/vq3VGgM6t8Z1eCWyzeyl3yftWgDcGto/lA+sF2cqFfZZ5GLJ8dsW6x/tj6CIAHPN0396EtUS3BJ6YBTTx0VKtLW5hFgqOpzXUoFiVFRrjEMs61VV9XyyihAkyQpiqLVarWfTrNarR4nwJQ5j1IcsSwPN61WW9ESkizLiq+6JElWq9VqtXIcJwgCy7Imk4mmaRPLxP+yumDbwQYnf7C5pbuCpmmDwSD8cy9392H3kaqYj19MGvFJqT6HB4490wm4KEAHAMjbvNObTjiOI1xf7Xj1Kk0+mOS+BzGv0KElbfpyPDrCr0d7qlmcmx3vjvxYq9XyPO9qhgZBEFEUzWaz0WhUZuZYllUEa4ZhTCaTfa0wiyiCuHrK66I+Pe5dvuR+2CiKxrRtC/R6lW04zq5br9yVcngY/dFsURTpvn399u7RvD/df99eoGpdLcuJL3euoGs7pE1zV5v8nm/iahObW+Bqk68c7/OuqtlUGcndsOfIoPd8egBWqGca5MlGp9P16tXr66+/3r59+6+//nrw4MEdO3asXbu2T58+NE0/7tFBIBAIBAKBPE6gAF3heLnyWpW4uDhnLQlF0Ro1atSoUQMW0f6XIIpienp6SkpKWlqaT9JAaOXIzpcPRH3+XikO6v/6i9Rve4AkAwAKpryf17VnQffX0ZRUxQpAkiSz2cwwjFKAS/nZo2grth4IgrgzYb4sFKvJROVwPiVLU6ua5VaypmbVvI37bJH5W36WvTNdRbSEZDQDAMLnTbBr9SxAB48bcH/0/Lu932POJwQO6oZHh5kuJlTZOE8qcllBTqrgwp4Vjc5FvTWPBPZ9KeTt14JH9Aoe0St4WM/g4T2Dh/VM2bBbqQSoVBpUEjntHxFlsYnXaDQ4jguC4Pw0kyTJlbRH07Ti94KiKE3TPgnK7lNWPYJhWEXXfVXudFeqlqJBi5UCmibstdxNvd5jgquPr8wMXXy2/9k63RL7TS31eGReSDxz3nOcL9w6dUbKznUTULB+izeSiizLlZerJwLrX+/a+sgejxcn5q+i4VpvJBHBAdrYGsFj+6MhQWhIUPCEgQ4x7Pl/ZFGyvxgwDLOfNaEoysHCSJlFsHnaMAxjMxEWRRF9qbMt0vxmn+srl7tXNrUUVfu3QyrPQFH0W7FcOnTIYDDw69fLgoDjOIIgHMeRzZoBALCqLhaO5OUlzl/g5oilxi881NUmuolLlT+ormcrEm8QeMHoVFu1vCjYfujc15u9j3fjYQWBeAOCIIoTFIqiyuvHPSIIBAKBQCCQxw9cCFbhlEWARhAkLi5OEARRFAVBIAjC13I6kAqlsLDQVltGIT8/H0VR78tCIgjS9O2BjYf3Tzp/6XK7IV4eV9+qMX32CBBKSmwIkjByvlRkopvG1fxqtqJEKz9+gFpKl1ar5ZKLs5WDx/azXL9rTbzn5QBcoakayd9OAgDo2z/j04765xuDZT8AGcgcz12/gzSrV2niwHsDZlRfNi199f9YtYHh//F7gaQofYsG5pOXfdor+tMJydOXO7c3SyyeMJBl2Ww2K8v/CYKwJbzbShH6dDidTqeYKbvakWVZRVx2EHxJkrTfhed5vV5vNpu1Wq1Go1E0PvtDKFepMnFiG2epPaYr+te+IhS6jzGbzXq9nmEYwp/Wt3asHUfTtOVuSu6uw3kH/uKcvHc1tapowoMtiUlCXqHjbe6ahC5j6uac9DLYG1JGep4bc2Vlbo8oimhwoOomfcvmiBczqSitlkQMQJVJg28Mm5X39yWAIECWs5duipw7JmPWKvuYC/VebXxtj5lhMAyTJEna/3P+9t3BmzcoV6DHeRFJkrRarfJ1y7KMNn3Gfo5RXrv62p6dMTv36w0GVz34BwWF7dqZ2aNniVZZLho23O+7bzmO03TrhuC4dd8+TZcuGo2G53k+NVW8dctVh8KPP2YPHVLJ7Ropb7hzPeHmqE/4jBwswK/ap+/WeP4ZIrISn5btEIZoCLK6S2sXv6iIMg5DIf3G7XLpxxX3311U640u/oHq16EztgqrEAgEAoFAIBAIpFyAKbQVS7kk0eA4rrivQvX534Msy4mJiQ7qs4IkSdevX/fpq0dRNKZZ426FF/Stm3oMxqPCApIuAKeJDXn8RCE9WzKzRX+eOx/X/VL9nuY7yQAAHMdVVTx75QhBUdNv5SBdYcH+AABtbA2Hn+4I5cGogbuToq0RjVcOBQDo4mvmHfgrY85awAv3535tua1ykgGGPQH+Mw2/m+9TPB4WHNO7M+pPo/40GmDAAv2U/9BAPwCA0WhUbAQkSWIYRjGIsO0ry7ItI957FMdns1MVNXskSXJWapxtLhVlmeM4o9FotVoVixidTme1Wk0mkzJ4s9lsf7nyPF+KNcuuLvhyhCAIjxnWygnXaDRIZKXqH46y5XQjCELT9KWWA691fifj6+3O6jMRHS5k5Zn+uiBk5VX5cob3o/Lsk+sLHMdJufkew+607enNReXqecgluyu7Z6No/5+q7QiKiiZGOYDSkvbhKk2dGKc4BEEQrVYryzLZsR3WvInt6cFxnMe1RPaDt0gS0qBRib6zMjmrup+7jSqxsUiVKo6t+flFvd8AAAhBQcatWy2HjxT16AkAIAhCX7kyWr26mw4z3n+/1P+6kGU5+dadXYHPXGzax3zmGpecyV65+U/XMfv9mwcOflUlnuOvdhrhqrfyeg5bityVUS0X/mzpwWLbHo8zTBAIBAKBQCAQCMQnoABdscBSNk8ksixfv37dfW57YqLLMmKuQFG044H13QovxB5aR1Qt4Q2NkBoyviYAQFMjOgx1zFADAGAvd0qZ9Ll9S/DI3je7j5UsVlX1EMdxm/Ll36sD2aC2QwBCmBJWgwAAIABJREFU4JqqEZqqEd4YaChoKochAEE0RODQVx10QzwsxP2+GTOWW++kCqlZkYsmRkwelH+guLyhkJMvq51nXXN3xq//FcKrRPt1aullMBbs/3Liz0CWpUKTVGiSCoxifpHyn5RfBABQKgTqdDr9AxQvDoqibMuB7S9aW96xG7xZwMEwDI7jiqCstGi1WnuzFxsmk0lRzSRJUnRthmEclFz7I3Icp2RYexyDQw8URVXcdJ1Op/OyipQkSYIgKMGiKGqMLMmJ6VOWnovrIeQXlQhFEf9eHaKWTw0a9AqfnCEVFgvoKRM/w4IDbFH1f/+macLepgl7q3z0juoRy1F5z01N8zLSm0K4rq40yxUPpfzcY0nOqPTai46tUokrKuaX1QAAnU4nyzKGYUAQ+UOHZUnSY5ieIARB8FjA0/4SxXEcbdXGKcTzQ5Keo2bSHRODm80cxxEy8F+6hGjduui11xUxnV66xLDpe/2O7erdXbpclOvOHUUVgReODJ26S9foTP2espoveea8byI+fdenPgmyfMogi9YKF3z5pPSCXNclK52ALhwQCAQCgUAgEEg5AgXoigWWsnki8UZcFkWxdN8+iqK1WzTrcvXnl3NOt7j2U/PLe19IOto9+8xLJ3cEv9WzElUE1GY1UvacdejF+MtfAICLzXrTaiWwcBy/9/5SfavGAACqcVzBtoMho1/HDBRKk6heq2/dJGh4L/5+On8/PWhwN2+GXf/YxtoHVtVZP4esX4s9dYW3WAEABoMBRVGDweC+biEAAMiyrlkcAICi9Zfq9yIb1g6bMcy/70uuwquM6e/NqP79tNu5ShPjeSm9f9fW3e4f1biqrYcihWeuKo4rDMOYHwAeGH8rjhwkSWIYhmEYRVEYhikKtZuDarVaLx2ELBaLUq5Nr9eTJImiaLlYMMuyrNFoSjGNxzBMuSRmKlevg9yMIAjDMN53oqjtOIZlHz1z6bk3C4+ctt3CmioR4bNH6p9rCCS5cOfvKRMW5W3cX2JfMxs6ri8W6OffqwMA4Prrk4ynr+Tt/+P+R1+qHospvzRSUfb2tKeOnupRkRfTs1TbtXVr+jaskpjOXNN1bgUA8OvS+mFrSd0QzTcpEzDKjYCGBAMAMjv3yOzRJ7N7b+TsBfcOrTiO219LgiCI9+6UYqjVmzjW8TP8sIn+dIFx6Fs0TQvJ9wEAxHMtgSwrniTMnr08SbJWq58LDTr58yU+DUCSpF+bv5a/9Vf3YWlTl0XMG+9ln1hA8d2Rn5Vzesk3x2cuOfXZmtyM4qlN7wVcSZKudx7tZbA3IKT6/NOJziO8H1VF+8hDIBAIBAKBQCBPFVCAhkB8Iy0tzcvfpdnZKqnK3qPVasOqREXGVPUPKratfHbxDERS+fGMtX9ByCyR2FVpfH/+fgYAAEhy+qotzrvgOM5cSjQfvwAAKNh6gD1zOXfNdsnMyozF0KmVJirM8GILJZKIqORhoAhSdcEEUU8CAPisXLJZ/fC+XXCt5nabwcYiIwCAZVksyB8L9Ku6YxlRNVLXsqGynyYmCtgpO6Hj+gAAuNRMIAMqvkbm/HWFW38N+3C46jGrd2nnYVT/ETAM63rtp5CRr7sKQEhto9++6bB9pWIU4Cye0O2aUw3r3Bz4vtVoIknSYDDYMjptshrLsjaNmKIolmURBDEajRaLxZX0RtO0ksDr/WdRHJxFUSxHdxQlk5okSV93LPsY9Hq9VqtlGMZeAacoyr0hiQMURVmtVgzDLElpBT8ejFpW7Kqsa9kgZHRv7n56xsdrzH9fUt23acLeJpd35KzZjgUYCnf+DgAQ84tuDPrg7pTPVeMBALJYbmtuhLwCLyMtVxI0Fk+O2H+pO/ygES4L33lDQLvmen8/AEDRgzUTAABtTAnDYqRauGKngCCI4oxvv7Xw8+Ucx6nOxNiKZ9rnlYuiiIaGOUR6s0hEo9EATQmvEvHePRRFgSgWdX9VHjFCyMjgr1wFgiDl5lqTk/U9e0hXrlAUJbpwCJEPHLBaPFh/2HPr0F9euvynvb8idIb6g9eBwNdeFATh99fHHqnaIeWDLzI/+y515pd/xHTaFdh8X61Ou3SNdhqaHuo87NaRv933c2HDNm8O5z2yiwuSvXLr3JJ1XnZSlgIeEAgEAoFAIBAIxAEoQFcg8NfLk4csy/n5nn1RFQoLC8v36IRGU/e3A86eGIWc4xLy/K0/215nrN7qLK/IHA8AwCMrhb43xHLttpj/MHHS9NvJgq0/J702qTgSuMsX00SFNbm6i3yxBUmSBT/8dL3raOOuQ3x2PoqitTcvli7dSB71SdKojy2XEsX8oqTX3uWT0pgTxXIbdzfFPjM6ecRHAIDkeWsrje+fv7l4/Jlzv9G1qK+tVcI+NfzdgaSOcjOq/xYIgrRZNrNTxl/VvvwgbMqggJ7twya9Gb1iWoOfvuyYcqRH3qnqrZrbggPDSwh2lT+fbPrzPHshAQBQdP02ECXwwGVYVSrlOE5R05SnkyiKNm9iB3ie9z6FX6mPait3WY7Fu1RFQ28ouw5uNpuVZEn7lElf+7RarRqNhqIoTZUIy/U7Ke8uDhndm2oay5y4nLP6R1d7RX34dpPLO8xmMydLQm5h0MAuXh4uMMzTdJH3qM11AQDw6lURrRYrWXrubs8hbrLpEQRxlXaKabwycFA3kcex/GPn781wrMmpe75Eyce7r4xTXKoJgkAQhD1+wn6rzLKWTVtNKenOni06nc5isVitJawqMAwDeY7eFxoXN5EDxJISOctibi77/fcAAFApRBo0mP1ipWbEcP99e4FGY5k6zfjpp1SzZjiOW61WbZ83VDu8vWGDN8eVJEmW5YThs7wJVsic+034x2NcbkZA6ORBEXPHoX70r81eK/zpL4ftsoXjFYsnQTAePXu5y+g9ldsk/ZOYn5Or+u+ilA++cHOsKus+cm6O2bVUeYEGGBDCh3ra9z/84v6la97HQyAQCAQCgUAgkHIBCtAVCBSgnzxu377tfXBFOEjqDYZGl84Ae9NVHZW/+YB9TLWti8TMEhLJhQY9aJq2WbWiKHql7aDIz6dIOflyyWxuPCxYMpWwF5AKHF1lAzq2IEKDmvyzt+HVXXV/Xm1iGL1eL0lS2ucbKk8aUu+39Zpn6hmNRjEqFG1Uu863C9izLn/tB3VrV/fotwAAgKFAEDEN4vfSc9krNjdN2IuHFFvfMievcPfSIuaNLR48TbWYO9nTefrvQfv7NRn6Rqs5k9tvXtpq3pTmI/rXbN/KLzjIQczVaDRYSAAAAKV1hk4tUyd/bhPxcRwDGMpn5yMIYjabWZb1aF4hSZKqtothmMfHl+K2AQAgCIIgCJu0DcrP+17xs7ZaraW4lViWdaWtew+GYQ6nyFdtHcMwnueVxPD4n1YBAHJW/8ie+8c+Rls9qtHJH+r9ukbxd25wZYe+xwtmzirLMoqiMsdnzFkbOMArDbocna/x4ED1QzSMw8NCqLg6JVp5IWP6PFfqvCzLfl06lOg8pir24ousRCZP/NSbLzd0tJoCK4j3py9jMx3lYLxSkP1bMa/g7rw1CQOmAQBwHOcTbzjEc+kZyUOnaTQaBzNo1buDlCTpp30lPp2epjy5SCsEVqv28E2NGmS7dvyu3YCikD59AY5LV64o6xKAXg8Igp42TRZFi8Wi0+nIgQNVOxS/WuPmcLnpmQeav7aTbrxb33h3QHNE69u1kT5zVdTK921vDR1bVNv2mX+vjoheJ4sgc/HGtBlfZH6+0cusajGv8FyTN45Et99raLonsnVORonam5IbA2gZpE5RMRu523MiAAALMER8PLry9GFEdLj9Vk21SDeVb8+2GujlMiboogaBQCAQCAQCgZQXUICGQHzAIRvOPRVUwggniGYXT/utWQkC/AEA+LSpJTZj6P1BM2zvQiYMwAw6FMckSeI4Tq/X63Q6giDif16TPuUzmRew4AC/nh2q7VgKZABkIGQ4qjns+RJiWeSkQVGfT6n/x7eKubDFYtHr9Uo1uUZX95Ld2pgYxl67tHBWfZOHBQOVVLWa6+ZoosIBhlaZN6Fo31EswBDQoaWufu2gV9oRtL7xhR+vvTJWyHnoACDzQvoHK7EAwzOXd3ZN+wvFnuoHV/VFkysvniSZGOPBErmctwfMuNR26KXWgwEA3muvDpnCisBKkqSDQKP4URAEgeM4QRBKerVi6KH4VNgHWywWL8v0uQFBEMU9Gfgu+xoMBr1eX8ZEbK1Wy3Gc4kNt69bXm1qp/UhRlMViQaPD/Ns0LW4n8KbXdsf/tKruj0vq7FnO4ggfbDCZTFar1f4hIwgCGRMFAMj/4UDU8qnqx3hAwGsd3Af4RGCYujkGe/APPjXDdPAoAADxM9jazcdOubnq0AeRiF7n/+nMoitJxl2HZMYiW7lTn3j2MvZv94xqe9VPxiJO2qXEljSmkEGlAV3rbPqUIAiWZWWT3bIAFNXO/Thj+19iTr7EWCwJtxXFudi5vmR9RQRBaIEXhvRzKHIoPfe8l1caW/DwmYYorzEMCIK8axcy5h0gyxiKKobU9Ib1ckEBM3eeliDknJzCHj1Bw4aqff5z6pRq+62/z/xRvZPl6i1lVYTM8QGvdfRmkPYkv7OArF8H0WplCRQdPHn39SkF23+TjD4YoKsi5hf9GdPp8MBJPPfgu3N7W4kOFTvtNxUYUycsSpmzhk/OsG/n7qXJrOs/1qJ09cf9LrfaB0IbaAgEAoFAIBAIpJx4qnWcCgX+bnny8FV7KoVvgPfUbtO62Yk/m1y7QAYGI3bWohEfjZZ5AQCgqREdNOTV3BU/SCZGFkQAgCzLilJstVqxAD8lPvPDL7RVI+71mujqQMzpK7bXdNO4oMHd7XNdFYeE4lRNtfMjSVLt7xc2urq34ZU9DS7vrn9uu7Za5VvDZnIpGdoqEQiGhQ7tVeu3dTFLp1df+aGuTdOY+eNlDW65dd++E22tqo1Oba6yaOLZ5wb4ZHv6ZEJgqe+paXayHPDGi3iw/7m63b2/9qxWK47jitCm1Wr1ej2GYaqCmtVq5XleEASe5xVrZhRFWZZVTRIs+8WviLal6E2r1RqNRqUMo715NIIgGIYpbgzeoCQvAwCUmRsMwxiGsbcD9gaGYURRVM4nx3FVV82os2Vhza9mNbq03cQyQligHBNurzgrt5LtLYqi9X5ZrbxOmbAo+ssZwDWtvpnv09jco6dpRM16WzYzqKHYbUMuWfOwaN9BV70pSfFU5/ZMPp8+do79ppxlG5Ou/uNiv2KiG8WrtguFRsTJgRkzOJZdFYCszJdgGGb5+6EbNfFyp7SRs5XXN3qMlMysTqejaVqn0xmNRoZhjEYjjuMGg8FgMFB/HxPeHgIAEFq/YN95wKCh7gdvw5KTY3uNNGksCIL/9h8BioLUVHnlKgCALMvk7TsIgnAch1AU+dZQ47sTxYAAomtX1IX1kzBmrHNjQWb25Q6OJs7ZKzbTLzTzcqg22EuJkhsltwwU7Ph9n3/zi9/vfCxZxvemLq2gGWIIBAKBQCAQCASiChSgKwq4cvPJw1dP5+Dg4AoaiQ0UReu+2PbVvDPPXt7t370d1bB2xkdfYoF+YbNG8XeS87/bUxympziOU3L6FCwWi/+LzwEA6A4tclZtdX8Um8Bd54eFHFci31CxKAUA6LSkWKCSpyZJktFoNJlMivbNMEydvavij3xbZ8/KWru+UDYJgiBJUtIHywyNYmVZtk/I9XuldeTCCZif/uKz/e++/YlkYo806vmUz+6EP9dEtT1y0bs5X2xVMseT56/V60vIcBiG4TjurCxLkoRhmCzLiocvy7JKRrODpa/qOTeZTCRJOqu6Su6w75+sBIoOq1wMSqK9lzvaBuNgoaD0YJ/T6gBN07ZPTdO0La1bFEWLxaLVakutqguCoHwQq9UKakVjzeo65IzbY/8dkSR5Nu5V29vkMfMDer+oulf1r2drfS/V6B68apRqOxZe7DSte62rfXv2wpWqXxOt1xf8bw/9ztDc7UcU93kHrrQb6P6CMQQFqlb6S1m43njmqmPjpM8cWtImf66k5CMIIuXlo1WilXb+z2O2GJnj70+eL/15hL90ATwwM1H8u2WG4fu9Jq39UonETh6371wXVsL8wQ38xEm21/S4cRiGFXbrDpTpB1EEABS92sP84YdiejqO4whJiiEh+qVLCILQDXuLGj0Kb6J24/M8V3JdjizLZ4a8rxIJgO6Zeq7GhocGAbTcrNu9587bH+/za1ZpTJ/S7Y6HBasbQOMYQuBEdJgS47xdzM7nvFvPBL3UIN4wePDg0aNH5+Y6riGDQCAQCAQCgdiAAvQThclkys7Ozs7Ohqk9FUFRkcuFwKq4qcpVviAIElkjpv2WZS32rwl9f7hUZMqa85V9gGQ0EywniqJtSIIgxCyZpqkexVxIkDkPP7CVX/iIlnC+rrRarSzLOp3uYpNet4Z84E2JNoZhrJRGDAuy2OUym83mGl99REZUEk3M7emfVxrbx/B8Q0yD8tdvpU1bzpy7bovk07KPj/vY41GeYCpFRgC85HlGkIDeL6ZNXWZryNq471Lzfrav22AwaDQaWZZV9UEMw5SsdqvVKooiwzCSJLEsq9fr9Xo9RVEURbmy1JAkiWEYh0TjshchRBDEarUq0rYiBVq8y3ynado+SZlhGOUjYxhmsVhEUTSZTKo3JkVRLMsqW/V6vcPhFKOSUk8rWiwW0jt1WJZlx7Mn2hlqy8D4+ylNTGWHvSKmvdVwYM/Sjc0NoTPGq7bzCbeUF8yOnxw2yWYVYZ1PScs9eCrklRd1DeuqH0kQLsxxrCVoD4qi0Yu9dX6XisyRy6ehNBUy8nX/1zpiwf7c7WQcx2VZFgSBqF2LHvomUK5nk8nvjc7KXkTNqkAQxNUr5W1bLOu+UqYxlOkK6X8/AOHhV4+UVCQzenfnvZhuSU9KshlNaHu/jiBIUc9eJSJIEgCA1avHBwYqUx0ESfKCYHx7pHXnTiQ2Vv/xR6o9J//9t/1bURCNR8+oRmYt+tZ+uUyJvYxmMq4GAAA8DoOjrCWbgke85txebeun7ncUMnOVFT8OxPy4WOYFPjlTiVHd9++xXv0decrnOyFesmnTpl9++cXf3/9xDwQCgUAgEAjk3wsUoJ8EZFm+efPmtWvXkpKSsrKysrKyrl+/npCQUF6lwCAKvuY/lr0Gmq8EBAXlLPkOqH3vV1oPTF+8LnvzTzYJEkHRuD2rCH+DfVjdPSvrX97Z5J99DS/vtK1kVwToGis/cLiiUBRV8hYtFkvlqcMljivLzIfJZDKZTBZErrFgUt7XPzInLwFJ8uv9snNkzoY9OWkZzu1PD5U/Gm17rY2voakSXvDjIYcY0cQo6eSKnwDLsqIoms1m1cvSWTJWghmGYVmWZVkVYRQAjUbj7Gih0+nMZjMoG3q9XhRFURSVa0wQBG9kIMWZ2qFRGTaO47YeTCaTwWDAcRzHcaU4J03TyvlRtprN5nJPezSbzd4kcbsqC2lDzCsiokLBgxhEQzQ/taXF7PFlF/2dCW2gbnzhBuPPhx3mKjAMy5yzlGoSCwCo+d0iTZR6vnD2qh8srLs5hnpDX/d+GHmbDoQFssSB7brTv4XqCiPq6As3blYEaLJtKyK2riY+VonUXD2D6CkAgPVSQs3GgQBF0ZuJ2KFflYvBaDQCAKQ/j5ToveRTDiksTJg0zuOQCq49qMWKINo337Tu3w/sL2kUBYGBAADx6lWtViuKosxx5uUrhI8/kdLTrfv2y7IsupC5mYWL7N/mJCW7GYbhpZb2bxufLV7+IrNWy9VbAJSc8HiE5K7dETSku0Pjvb7TfejC7ha423MSACBiwbiIOWNchef/cECxEnIPnM6HeENgYKDi8vS4BwKBQCAQCATy7wUK0BXCo/TfKCoqun79uvP6ZVEU//nnH/jbqRzx3gQAABAcHFwRkpBH8JBAV5uyv9+XOn/NpfqvGmgaACCKIi8IsftWBfZ9GQAQPfudJv/sEyOClGRYxmKJ/3sT/WyDSpMGiQVGfZM4TbM4B98AnU5XnCEoSZUGvBL389dlnPOQZVmWZQRFqXq1AABkk9jMhRtUI6+8//lOqmHxf/pGJ5esZV17Gjx5PDt5hPIieHgv6/U7XFK6atj52Fd1Op39w0GWZedcZsV2Q7UH2wNE1SGB4zjlIleylQEABEGUy2UviqJyLXnzk15RkA0GA+c0BYLjuKIxKQngtnaj0SgIgiAISt63N87OZZ/PczY2ccbh+zKeveYcY/7rQuT8cQBDY49/17PwbHSDuAp61ASGhPi6S87ytfa53lqtVqfTRSz9JGxUf9zfYDQa6+z/Wn1PWT7/8VI3PVM6XeAbnVQ3NUvc59DCnLpi/1YuKOB371MuAG2P7pi/H3el+MTK2Tnhb3UFANQY1BrNzkJ4DgCASBJBECiK0haW790deLo80L/+uLx/r/sY06piBw+/PbsRBLF8s67EZkkC6cV3cVH3VwmCkAWB7NBevHrVf99eJDwcx3HGatW9rybIpqfbC6nJvx1TiXmAf7e29m8vNOvrftgqVNjftbxv9/r3aOdT/4aXn7O9rnPmB/2DIp8KGbO/Ktz3h5vd/3h5hDdHgf+OgngkLi6O5/myT75CIBAIBAKBPMFAAbpCeGRrNpOSkpKT3aU7/fOPh+JOEO8JDHSp7ToTFhZWcSNxAxlb3WOMxAuKHbDVamVZturM0Y2u7dF1a2M0GvV6/b2B74PbqYpyV2PdJ9zN+zW/nl3ju7nOOaEmk4llWUUfVPKXyz5+rVYrSRJAEaJSkPn8TdUYvHJo/ja7cmeSnPbByp+DW57bvj/j9t2nRCxon3y42orpuRt2Axefl2xSFwAgcbzD48hZSsYwzOMji+d5nU7n3K6cbduUm1arLftlYJ+tbDabtVqtKwMQAABN04qCbDQanT+FIAg6nc5gMJR9UrDsArQsyyaTSRmPqzRn+6uXJMnEgepmvpmLv+1pPB/bpFEZh+SRiJ3rPAeVhDl9wfbpCBy/1arbvc7970+cp3w0k8kU+/tG1R3z1my1uM1IjRmp7hR8fZD6WXoIjsmioHyDFouFYRiqy0Mtm9u6PWrDXPyvEkqlLMs6ihLeGQ4AQKd9KHtSRbEPpuZmZ7uLyM0FAOhmzZJl2TT9/Yfpz/36OccWdX+V+Xotu2EDAMA0azY1b66Si423bOkcDADIPHrU9jp50uduRpH89hw3W73Ciwesfd4xHhGCUC6N1x0o3H2EjIvBIyp5GW/85aH9SGKz/mSdqvZbZY5nTl8FAETMHYsFBzjvzpy+cvvMBY9HgS4cEI+0bNkyMzPz3Llzj3sgEAgEAoFAIP9eoAD9HyY3N9ej1qOklD6a8UBshIaGPpb0ZwBA6OAeHmP4rFyKomRZJghCcVowm82SJOl0uoyVW7i7KfoGtSmK0uv1giDUWDSZbtXYlQOvIAhemtt6A4qiBEEIghCzfm7c4Q2Vx6lIMwCAgB7tVNvTpi37u16PAw27Z96+V15D+tcSEBLcZES/OhvnO29CCDzy0/GW8wkAAFRDOGidGo3GYDDQNG1TdQmC8OZLLHUJPl/BcdxeJXfwmPYVo9EoSZLVu4Jjqmg0Gpqmy2ttNcMwRqPR5v5hv0mn09kvMkAF0ZXYV3v1zEfzhKnbrKmrTWQj9Yp26ZNma1mrYgXOXrwGADB8MIk5dt4WgAQYiDD13Op7h/50M5jQBrGq7cypqxHj+ldePtW+UdPTzs9BlIAgYhhm+xL9x70DtBrwYE6Rnfoh366j/e78iWNCv2KPZmnhXMSLP6PpHVu7m+eQJAAA0byZecp74jW7xPYtW5xjkeBgatxYcuFCJCSEnDXTluAsiiJQuw5Na9cCAGRZvrhpp0eBWNeyYfGLFvXdR5aa9JmrlBdE1QjZysmsD3ef5dodqdAYOX88Wa+mr8fN23RAfTwfrsQDDKqbLrUf5nH1DHQzg3hkypQp9erVGzJkyO+//w4vGAgEAoFAIBBVoABd/jyaf3oKgpCR4ZUN7p07dyp6ME8PVapU8RhDUVSlSt4mcJUjsiwfe/eT2wOneYy8/tKIG29OK9h7VMgvIvKL5zBIkrzyTN+M1VtxP8OdCQsAAIr3rkdT2nIUwiRJUiwReJ5HEMR/0Cvx+1eqHBFXkWD8XmnDp2UDAKw37x+v9+ovbfo/Siecx0V8r84RUwbbt4S+NxgL9k+bvkJ5m7Z+p4NyKgiCUm3PXtVV8ivdgKKoahqgw7df9ouBJEnn2Q6WZR3MprVarTJH4k3CtdlsJgii1EVBNRpNeSX427BVfVQ+BUmSJEnanz2tVpvQ5z1Xu9d8qa2rTeULgiDBi2bqB72hHzVE93o3NPjhKhDZdVnIe68Olk+eR2/cTRs3AwCQ9+VmBMdsn45l2arLP1DdMXnxWjeD0dF6ItLFo1UUwzqUyA5G7aVzWQayjKKoTqdTnmYmkylk6WKQn28LKdx/WAp9uGwFWbpY1UzfDQgACWNGutwsSQAAiWWlm+oLO2zoPvzAsGE9y7IWi8Wwfp29vQbLstSYd5x3kW/fMRuNh3u9c2eEy8J6/g/m7SqNLC73x5y84hwW0Ocl98OzBzXoAABYsMvCa3xSupjnWLzXY0K0xFjSZqywXL3l37N9yOje2rrVbJuCh7mbYZVZC0DRELWZS7JBLfV9BPH0u/M8jAfqiRBP0DS9a9cuDMM6duxYv379bdu23bt3Lz8/v9AFMDUEAoFAIBDIUwgUoMufR/Nb5datW15Gpq7acuf85QodzNODwWBwrrpmD4qi1at7NsGoCE5/vCx33Q4vgzXxNZNmLLvRfpjpyg29Xk/TtMViif9lDQCAz84rPHTCkpwhiiJJkopY6aarcl+erNTNM5lMoiiCqNDw4b0cAgr3qth6EuHB9m+ZM9d+rv2yWN6l5P6FtJxz7/xXAAAgAElEQVQzqcZ3cwEAQYNeoRrXzVr8nZCRa9uas+0ggWL2mbY4jtvcVBAE0Wq13vwSJkmScZsnWF7zEKpuG8qlCADQ6/UURdE0zfM8y7LeG25yHMeyrEajKcWQRFGkabqCEsCVT2GxWHAct/84BEGwifdUdwke3J0o1QcpHVRoeOqSbalzv037al9eYr4JDeJrNiBHDNX27KIf+Jr/hxM1/ftyNerpenS23ytz9mJFfQYA8ElpsiDa/2XU1KqGqD1IrVdvur9n66xXd5BI/2pbQp8p9i0I6nhB8veS8g/8YrPyx6vHlNgsiAWoAeh8MPp3BnFt04S0awdiYvgjR4vfV3Lhr43jSNOmAACKogwGg/M/J4gXXlDd7+KnXxXa+VE4EzW8WHdOnrDITVjB/351s9WGJjocACAZGQCAmFvoJlLfytEoRkmIVmrbuqdw1+Gc1T9aE+4BBMGC/bW1q+au2x009FVE6/r6lyQxvwg4Kc6Fuw672iP3+/1W17MpxWOGciHELR999FG1atVu374NALh+/XqfPn1iYmKCgoICXAB9XSAQCAQCgTyFQAG6/HG2yi13LBaLt/94leWc1T9ebPXmqcVrKnhQTwu1atVyVbHNz88vNlZ9kXhFk3Thcsbn33ofbz57DQCAGnQhXdte7zIKAEBRlGB+mGqX0Gu8TqezWCweJ1TKvew7QRA2JU4QhIhJg+y3+nVuxd1NdRoEmrdxv0ObkJGzN7jFI7gfHzsN3+jWOfdE3sb97IUEh03c3dTCo2dssyY0TdsnO+t0OgzDvJFxXX3Liu4sy7Kiz5bxRzWGYarVDhEEUSxiFK3WZDKVYp5PFMXSCdDKHIxPNUh9RZlxsW/J3vKzq+D4WWNcbaoIjOlZ9m+FrDzzycsZCzbcn7widdmOpHeXZq3Yypy6akrzkEQvMw81PpZla2xUl0Hd37C12rRAaRUvciDJVO1qocN6Ku+qbvg4Z/ws5NWewE7lzBnzrmX5Kvb4CSUXHkERxPAgKR7HAABS4s1cSSeFR7r/IArW8VOcG7HGzZwbRVH8qXXvO8v33D18x1KtpmXgaPnjOSA7R71fDMMwzLJli5yUJLGsedBgiqKULSiKIgji6uyYzzve+w5QtYr9kaVCk6GTupe0ewL7P5xj4JIzDJ2fBwCQDWvbx0TMH2v/FiHw2l/PRlVTnp1mCNwhy2JuofVGEgAgb8MeVE9p61RzFZu/6afgEb3qbnGnsztw/89T7gNgEjTEPRiGEb7wuMcLgUAgEAgE8hiAAvR/kvT0dC8jE5sPUF6kzvoy/Skwxn0EIAhSs2bNOnXq2H5CIAji5+cXHx8fHR39WIYky/LFNm96H69/obn12m0AgGRkzsd245LSLzbpfbl+z386j7LFSIzVmpLpza9us9lsMBgUW2Gapm1ySanhOM7eLUGSJFT3sE8sSGW5d+iUwTKnYrghc/yvjXs8DclrpOvTfnvs/HN1u8tX7xoMBnuV02Qymc1mnuc95vYq9SrdBNjk6VLMRijG38plo9VqVY1TFOlZScEuy7dpMplomi5dsrbRaDQY1G1kywhBEA6fWqfT3Z+jPmVIVA4NiQyviGG4ouDAX6rt1fevQPUPr7qiA8e0LVTk1+C1xTXxjH+ft2/Xxak7/BZmZKm2KyAIEv/LV6qbzJcSq0x9q7iT6Z8AAEybd5mNEt6tS3EELwAZFHw8v/DUGa1WazQaw7ZvxipHIDodEEQAAFov3lKz0T9H0/gXOqoeAgAgG/yM0+ckpcm53+4Uevd32IrWqVMiWJb3NHh5BxVnPnUZAABQREvT5LP183YdAUFBQM3ZHDHQCIJwW7aaJ7xrfKMP0Olst55Op7O3bnf8+CfdrXPye6X12Xo9bW/J2Bg3wa7I31xiUsT48zEAgOXSDfvG9BklTJNkXrgQ31OWZczf0QBHtjre6VST2NAhr2KBfh5HIuYVWhPvRa+d5Sogd+3Oi/E97VtqfvNR4/PbGl/bpRp/e56HGXooQEPcM3bs2NO+UO4z9xAIBAKBQCD/fqAAXc48GqnL/Vp4G/cGzLB/e6Leq5l37lXIgJ4+cByvXbt2fHx8fHx8XFzc45KeFW6cueBTPOrnqKPJlhLyIqLVhL4/LLH/VG+yPmVZNhqNRqNR8ckVRdGVROINNE2TJGmvkxIEUe/UJsWIg27bNP8HlTJTpj9clp6n2zQ9M39VqcfzXwFBELqty3pxAIDbkxZmbtzrnAKs0Wg8aiskSaomJoMHuowsy0rus/J/n35akyQpy7IgCBqNBkVR1UdoOT5Xy5LLrOjX5TUSBQRBNBqNgwBtvZXsyoC47rpPyncAHpFdpCQzZ64RUWH2LeYiGThNZmR+XHz3Ffx01H6qw3pffRpV9nQ11mraULXdcifFfO0WACB6zYfAlokvSoVbD+AT3wV2KYfcnn1KYUmz2axfubTSjs0IRYl9BqUfvFbw40EgyzdWHyp690OH/sV6DXNf7ns/sTBv/IcAAD7h9q1VPwktnrOPIYgS99exZWutCXdtb+MPrddGhxuqRJoO/g0MBqBm+4AuWSLLMtb6+eKzkZ9vu5vk/Hzh+nVrglOmM4KAzp1li/odqlC0/y/AP/wec77ZiWh8yMHU1PDhDxyicxTWZQsnFnq2UGfP/6Nr2ZAIDlDeGl5+zn188ohPIua8g2i9+iC3hn90ockbF0qq0jaY09c4t3NsUICGuCcyMrKRLzyuOtUQCAQCgUAgjxEoQP/38FKLKTp4wupkIXo8/tWsFCf7Ash/nNvDHbUSN5AN6xTtdumGCQCg2z+DBhgy564VsvPdhLmC4zjFrhfDMAzDSJL0NdPHYX6F4zir1Ro+8c2Q119Ujde3bsy4yP6r+v28vA27U+etvXfqvGrAk0TM+yPcbNVEhSfPW3t32EdkybxLWZZ1OjVPAzskSXL1a5lhGEWT1el0iqEHJQIkPVfL8gYvtFqaphmGEQRBScRWdRvXarX2ddjKjtVqLd2Pf1mWy12H0uv1DhYoCIKkr9mmGoxQ2pptWpTvADyCuvAt4ZLS/V5pbd9i+vOc/4KZJfYNDuQSiqvgFh09ZVseQZJk2ufrVLvFvFicHndUfd9/ek0EADCrvnFoL5y7jNX4gQB/AAAaHYXVr2cbBkEQDMOE7f6fpeQzJHnknNSGL4stWgEAhKbPZsQ0Szl40bR+i31M+IxhN7edF+Pq2Vr8KlUym0y5GZmZqWlXTp9Jn/b5g0+FIjiGhgQqyw7ijm4ETpc0uvkHgCDipEkix4l/HStutVptjk+cTsfMn68JCgIAiIOHWt5409y+a35wTHaenP3DAWfZ1w2y2VJpgmP6thu428k+dM548FN2w72Rn1hu3VdeG91aWiukz/ySalSXiHBhqA1AQO8SfzUQSkvWq6EamXzOXQr507CMBgKBQCAQCAQCqVCgAF3OPIJfKd64rEoMmz7jC9VNx+O6l/eIII8Z3tkT2TW6xnHuA6x3Uu2r2JUCs9lMURSCIAiCWCwW7005CIJwtnpQWliWrTp3XMys0dUWTqw2f3y9Q183OPZd/P5VkWP7GV5QWfgPAAge3vP+oA+U15d7jn/iU9hinlM/DwCAkNG92cs3AACmM1cTuryjpx4qzgzDsCzr/jviOM7VLIIsyxzHmff9mTBs1oW4HhdaDbr4bP9rXd653Hrw2brdKbennKZpe8XZ4qIOGI7j5ftc5Xler9eXrqig1Wotx6XTirWIQ6NWqy08elY1vsaa2Y8+by6gS2vV9oLtvwX16+zQmDTsY7LD87a3+lFD7Ldmfb1Vp9PpteSdPu8aj6q77uoDAzwOqc4zLpP9I+eNEdMyEIrUt3/evl3KyqWmTLS07Jh+KiV5/qbLrfqlLFxrsVgUP1ZZlqusmhk8pl+JD7j154QNxzLa903dd9J6/IzzsQo/XSExllvH0qTKUQAAbvT4I3U6Hek67M/4jsfrtLvZfiDdtU1xqCjV3r7cNrWGUyT95Sp54JvGV/oBAEC1asj4cfLUaf5791Br1jA//mh/lKK+/XQPnqKaF180Dh9hbvty3tL1xq82Mtv3CzfvAFkGABjaN/d43uxhS1pnPBpK5z3tHubUFdrFnwAAAFW3esQ7fW1vUa0mes1M1ci8qzfLfWwQCAQCgUAgEAjEBhSgyxlVA9PyxRst5laHkS5354WMpPvlOiLI48TVhITqCmsiOjz32z1uegubPdpW4g8LKKXjrSzLLMsKgiAIAoqi3t8UPM+7KvCowPnrtB2aB/XswAfSVpIQwgMDh/eMGti96txxDpFYsH/B9kO2t2KBMelvdVHviQEniBpfq5iihk4bmrP6oaRlvZ9xockb9lYSigOGm55lWSad/GpxHKdp2rT5l3uj5jIZ2XT7ZwAAcsn5g4vP9DcYDK4UWy8rFlaE5GoymTQaTSl6FkWx7C7nChiGiaLo/DznbiRJZvWM73qvOQq+j4DIZvVV24Pffo29dAM4ncOcw9eKX+F41pzV9puyVm+51qTH1ea9rLdd/g0itJ4LRSIIEjHzbed2LCSQXb0OABCycUXYrEl+PUucrpxp84y/F6veUqGp6LcTGIbJsizLMs/zVqs1alS/6G8cHU6EHNcLQTg+cvFkITP3ViJ3G6txc/xymbEwJy5Sndoqp8V67DRRLRIAEPXRWLJGFdt+RqMR4Lj/G6+bfjle2L4HMBqBlZPz8oxGI/va6/L/Sua/M4zprWHM4CEkSVp37ZZnzWZ/OeI8FiIs2M0Zc8Z48ATV9FGXzDUePFFpfD9XWxHKhyRue8gGtR1awmeNBAAAHMtcsjFj/U5bu1hgvNlqiGon2V9vd3+UJ34KE1IuSJKUn59/69atU6dOHT58+Pz5EquvlBVdT0NtZAgEAoFAIBBnoAD938Nj/l3SiI9l3t2/bq9PW1KuI4I8Tlz9klEtyhfQv6srb1kAAFE1IuPj/7N33vFRFG0cf2Z3r9+lV9JIAULvTXoHBaSJCIhKkRcVFFFUFMWKCjZAAQGVLii9qSi9Q2iBUEJCEtJ7cnt12/vHwnHc7d5dGgTY7yd/XGZnZ+eSubnd3zzze+4m+GL0hqo/cqvtkmh5Ah8xLWgKYZML7YNGlUqlXq9X9u/YMmmrd+/2tnJt55bsva6j19579Id9s7HD1G0cI9zLtx1wKOEs1oTGQ1zYGfPGxHxWSY1Go1KpHHRSjUaTOX1eQvzgrG9X6Y+dRzIZppQDgPPMc/Od72RCpgo4jldoYFQLSqWSNxkHAJZlK21W7iIXnOeoVCrnv4BCobg2bpZg/dAPXq5c1HYV8QkPFSwv+GGtLCq0wem1DuV0QYlq2isAoH1tYkXdGHA/b9yzP2yzqeOcC0MnD+TMZgAoeOZlK8PoXn0p9uDWmL0bY/7bFPzFLLBSoe++dLfy1LFyudxgMNA0zVuckyTp287RYFoV6ioi2/zXvwBA3cozX7phKyzftNf3zYkAwJnMODDavk8EjOjnYC9jNBpJkqy7fn7goF6gUeueehKb8SY7eozYhbjy8rKZM+HddwvfmMOZBP6qMn/H9UJdHzduLT5P93BdoSYo33vCPnelPYLvy5kWp9c7lFiTHdczcj9ZCgBAM6zB5NodGwA0XVr6Tx5hvpySfPGSJx2QkBCjuLh4woQJ7du3b9iwYYcOHXr16jVz5kz7CvPnz+/evfvcuXMlUxcJCQkJCQmJx5CqPkJLOHAf7ildaxB0QYn53DXXLZRu25+4c2+Tp3pLWVAeOhiGKSwuKSNJAOTrpfPz8a6AEIZj8tjI8OUfix03HjtftGKL3cVEnX89p6It0DStVCopikII2T5NBEEolUpniwaCIGxitNFojFnw3qWuL1GFJeEL38ma9pVDZVPCFcpqlYkY2j4aIIR671/9V5OB1vTbGd4CXhtVuOh3gaoMm9hzQtN9K3hdzJYHTy6X4xbKdD09a82u4n+OAc0AgG/vDuHvTdSGBRmNRpVMnvXNymv3xtGX7jjImSwAgGSEg9yjP5XovIyhUCjs/3dVAcMwlUrFMAyO42INajQafhyyLGt7vwzD8COtQpfTaDR8C4Kqult4m2z+tV6vd67A3MpjSeHw57gJwytxxaojE9mUIAvyTx/3gaC6l/PhT5Fz/5f76dKKXivk3Zc9nDE0Ol3YnClZc+5GWHs/1YVcutr2q0KhIEmS5NfnGBpaNYnauCx95CTvZ/uXbfgLADLe/77ZgK4OzRqNxpCpY3N/XAssBwBIpSBXCvtx87BFwvHRBXOX1fnhvfy352IEHvfte4I3BlqVmjEYSX25vEdPQ1YW++lnwtcgCK5lS7bfk9bL18gZd+oggHubJBSOK9P6vSdc9BwAitfsanpyHWcyKX28IhvU5zgu6e8DqVPn0oWlDmlpqxHLlZvuK7nkfFvHGOri3/+qRDtILgv5YFLx2t2Gw+cMh88BQGL7MbGGc2K3WCzLPpAVIImHhbNnzz799NOZmZkAIJfLg4OD8/LyHOq0bdt29uzZ/v7+HMdJd+ASEhISEhISjxuSAF2d3LeIBrlczkdsOZMy4FUAwP28meIyFy0kP/NW0egB3ZbPle6AHxZYlr2ZnYf8gkHjR2j8AEAPoLcAV+z4hCOGLDTw1oSParKPAlToQ4FhGO+Kq9Fo7Ec4ry06N4VhmH0AuMlkan501a3FvzurzzyG0jKfoMCKdP/hgyCIp67sOfXpwqy5K4DAy3cdFqtpzS5IaPh0o+0LiLp1AEAul2PlhitDplszHUeU4UZGYq+JABA0bnD+qu3OTVE3s2ShAUguQ07LIdbsAhlBWK1WDMM0Gg1v90EQBEKIIAhPdiLz54oF46vVal4RxnFcpVLZpyvkL8dxnLMwzY8ug8HA+1ATBMGyrEajERSFbahUKtsqiEKhYFm2QmkJnfMNOiCXy6+MfU/saEBwsIcXql7E3iCVUwAA6o7NjMcFsreVHUsChAF45LJyGww1HveM59Vbz5iYu3AdU1QGAIDjRNYN+4ulDXsp4o/l9uOBDfBVtWxq+vtvbe8O5L8nAODWnEX+sybZTywcxwW/PDJ34Rr+V9/nnrRusluTA0BKBcgITn/7/8jkF4p1L/v1uc0Tt/N/PeFgfxwzYYAO7aP+/Q9WrhRuJTq6jFJY/z4Ff58CAFnThlTiFSQjtH27k4dOcPq7UdWsU08wb63DLpB7QKjLgVVedo7bCKHG/Xs0Tu7Bcdw/fV40HD0vem4tgzOacV8vpqTcoTxm+w+pg193rq9u38R7cPecjxbnfPiTw6HzS9e1mjJW8Cr8xFUtHZZ49CgqKuratavBYAgKClq6dGnHjh31en39+o7mMPHx8UFBQVlZWVIEtISEhISEhMRjiBTNUePwgkv1ugeGhgrviU4dPoN/4Vp95iletydxw45q7JVEzUFRVGqpCfkJKFDIL7jOAlHRyh7c3312L3sCxwysulOh4AqHWq12eJLnY5yVSiVJkhzHkSRpbxDBZwlzbodhGPv2eS/XiCmjvHu2d64MALmXH0DeLR6WZYty8nLT0vOzsj30Pq40CKH2H057quRk+PwZVtcJKjkuadDUy53Gma6nXx849ULnF5zVZwDw6t+JfyGoPvOoWjeShQWCkEHQuZYjVYDJjdb8tbsyv/71QpNhF3pOONNgkGu/bxtWq1XQkgUAlEqlTdJlGMZqtapUKt45hI9u5lMsumicJEk+PpogCL1e78KWhB+Etv8dSZL8WRqNRrC+RqPhg51xHNdoNFqt1rX6jBCikm7SIlN34JSRD2qxkBWZBJSNYmQRIXFLBWzHAYDKLohZIrrZQpDonz6WezYkeAiC6Hl5J1LKASDqx5lMZo79USa/qOCDr+zHmNVqrfPDZ8BxcCFB1aohANB60rWkiFsdBVzObNH26opp7gxIFyoSgdM0jRDipyl+WKrVat7WRqvVmm9kZL/2GXh5i7bQvFnBuTTrxSu3f0WISrwCACCTBc963V59BgDjlt1A3PPpY8tIpBL9e7Y99buXSL5HhFCvPcuJID/RjtU+iACB9+KgPvuNGxT4+mhZWJDx5KWc9xfx2zscyJiz2LlQQsIt8+bNMxgMAwcOvHTp0pAhQ4KDg728vJyrBQQE+Pr6OkdGS0hISEhISEg8DkgCdA2SnZ19+fLlpKSka9euXbly5fLly7du3aqWlgVVEsOpy1T6PU/gXl1a+Q3s5qKdGy/NpkQiqSVqDxzHpRsoTCma+szvGY/25uNeAsMG04o2W/LPMQ8lQhcISthWq5W3GNZoNDKZTKfTcRxnNpuNRqOtjidrNgzDOEiTFEVRFBX97duC9a8MfPX+J//hOO7Cb39s92t3KLbv8UaDj9YbsF3X6vCU2TXdE4VS2fbl0fF/fOO2JlNuyFm/y5KRI1YB9xfXyO6g690++J3xuLfAGOMs1vNtRl3oPC7jkyV5v2wBgIBJwxRxEeUnL+p0Ok+CCsWCxfgA57tvhGFMJhNJkiRJms1msW0iDhgMBoqi+MpGo5EXlGUymU0+VqvVMplMJpM5bMDnvYP5MGr7cqVSyQfyKxQKnU6nUqkMBoODBbAzGo3m6ijhcQsAreY4ptm8byAkfJ+AeWkxtVLMyJsuKms4fCAR7mnUtrZf58bPPl3Rvum8vQZkHYz8fnrZB3OdjxoOn9Cv3Ci3c90xWczRf/8OVorIvimLDjdevO6cXdMm9ON+3qYde8GJoLem+E8df/sXcQG62YkNZrOZn9b4JIckSfLWzyzLlu/aW7B7vykhyaQS1XnpTt3vseznOJARACCPDGMMRsfaLKtsUNehjDfGcUDbq1383qURTeLFrgsAhEzW//pfmk4tBI96DejUK+vAUOP5IYZzg8rPPFl0vOuNPWLOzi7wnzyioqeI4fNMX7d1TBevF/ywjsrKd1GHLSf1pe7X7yUkHDhy5Ii3t/c333wTGOhql5VCoVAoFKWlpVIEtISEhISEhMRjiCRA1wgsy16+fLmkxNEdsry8PCkpqVouERYWds/vHJf5yueOlzt8tni36AZ8nsRtf1dLfyRqjuRb2ZjcUSWxB2F43S0L3baDlAJqspjhLADQBcVVj9w3m83O4as0TfNhzgaDgfeTcQgKtjeA5hsRs9x1eIrjTRJwoXfK1943eHIl3kWlMZlMOyK6pr7ymUNOyMKV23f6ty/JL6jRqyOEGg3s3ea0kAf0vWAuVWDLtXS3LZRt3Y8QyKOEN2fYE/7TrNyPlzbeuoAzmq+Om+WJmbK9yKvRaHQ6HR9JWjkjZhewLGsymXQ6HW8qrdVqOY4zGo00TRuNRqvVKiiX82HUfIirSqUCAH4phVcePbG61mg0CY2HiB31f3GwRiiY7v6AEcJpb+VRIQCQ/f4iwaNMGYkQ6n12F2DuA7e9hvXptl64Hbco1WpywXKxoyW/bch+5mXtnSh1hmFMwMUe2MxZLCq2HPfW3pz2ucMoujsXifTclJVbumaT616FTB1rYmhba/Z+r/z+DxTgb92+EwCK1wv5F4cEozlzSr760aE47sAWALBcvXHrpTecT/Lp39F1rwAgatWnxIVTuc9NPvOhgGRvj1yh6Lv3t7ZnNsjsPtRILovfuaj35p+8/XwRQhiGyWQypVodEFZncP6x8G/fsm/Bb/SAmOVzXFyiaOmfbjvsIYrYcLd1TOfdpMfgyTp6psrdkXjsSEpK8vHxiY6Odl0NwzCEkHNCCwkJCQkJCQmJxwFJgK5O+JBGiqKuXLkiVofjuKSkpKrHPvj4+Oh0d7Pep0+YI1zPnYCYNu6DKvZEokahKIoIcC/q6Z7oHLv/NxDfpI+UctOF5Apdut7v8+xDkisHhmGCo91WaDAYnIMocRy3f0KjaRrDMEHtzz4o1WYH7CKznOHAGcv9evZjWfbfhk8yxY7OpDwcRR+o29vs0iCiWohs0rBn5n4XYwMA+MhKMaxZ7vcLkwfO3HpjvjwyxHW1iGUfZr7yBcJxhFDKa1+Qpy/jQq4dzphMJpVKheO4yWTS6/V8JGlNRJHbnJ2tVisfrAp3hivLiqbl5GOcSZI0mUz2Q1ds/Nsjl8uTx38IjOhc3XruW2KH7gNiiddKN/yj69lO17yB4FGm3AAAhEz2VOE5IlDczAHHYnYv67piflUMRjiXmSSZouLUXs/wCwMAwHEcaTbHHtomj4pQsnpzTj57456dSSzLAkEAAKs3AgAghLx1cUdv21UhP5/sZ1+mMnNu+104/3MxTNuuadCkZ+xX7+xNzPlJldywDcyWyCUf+E0cDmPGAEKAYTDznRL/6IJiriApN3/aR0A5Du/Cv/fzL+gsgf0K8pA7NhS40L+MwMPfHV325mz+t/Jffz/9ydeuBydCKKJx/KCrfw0zXeB/hpadadSri2BlDMPaTXn+djXj+WGmC91XfNlizFBtt9YuLuHq6jICRBY/BK6uFXbpuYvTPNM4QXhlLuOHNWJtSFGrEmKQJOl8l+I8rfHfL/JHOhmyhISEhISEhIQYkgBdzXAcd/26G59ZjuMKC0UzF3lOZGSkv78/AJgvp5gvVkxbtEdsD7VEbSA9v8jDmupGzRveOCCPi3Q+hHlpWx3bwCcN8xAiwFfdJK7qz9tqtVrQhNdsNrvw95DL5Q7B1xaLRTDc1b6HNqWMpmlVoxixxlP+O+K229XCoUmz6Pxi13WOvfTufRA1fPz9uqX+46ICciFA45hgljlnWhxd1WruDLGjQROG9sk55BMbCQAcwyQ0HgIs58pC914YhqFpWiaT2Q8MD8Xr6oJl2QqZ0mi1Wk+WcOjrGfrjF8SOBk0eofVxb4FSc2AYJq9bR/CQ79inzCKm1USQL/8CIdT/+v6Gf/8iq3vPrh2kUkQu/PDJ/IRGHdtVtYuCowjHfCeMDpj5KgBwVit1+Zr9aCFJMuzHuWyZXqUBpFXbi+wsyyoiQ5td2MpZrFiQP6bTRq74Luvz7ydFRo0AACAASURBVG5fqvT2elLsgS0AgNR3fSe07Zs1T9ze9NzmkAWzHMLeVSqV/WKJ0Wj0GjoAAIrf+Yz88vuChWsKylBBOV7w7pd0cqro20RIrnZlc6FfsIx/oW4YCwBEsP/dU5XygBZ1yOXr7qm/bG3q0RMuGqw09rpb793LiQDfiragbtN4UPHJYfqzbRO3NFj3pWslWhYW1HJQX9d16sx1NLEx7jstWJM8fLZ6k3ZIPA4EBQUxDOP2dppPSxAeHi4lAJeQkJCQkJB4DJEE6GomLS3Nk2r5+fnVojqFhIQ0atSodMu+qjSSdf1G1XsiUUMgb3/3le5AaL0aHNka/Ok0+0K/F4c8detwaEyU5+00O/dHs8MrXWdv8xC9Xi+WpU0mk4nFAQl+Onj9CCHEpyvU6XRyudzWSYIgbGIfTdNBYwaKdenaczOPffBNUXZujSq/5cUlJev3uK1Wtv1ASc79yEfkHxLU5vTvYnHQSFy7UTWr77plTKMKGDeobcLG6IYNvHx8gt8a51DB79l+A0tO9l7+ZUBwEHkxOWjmi3yEprZbG/9Jwzz/L1AUVe2eG4K4kAZ40xgP2/HkrWnkiisj3hQ9jKHWn4tq+vcNn8HdBctTnny1bOt+wUOKyHv2bcS2a93v3O7eOSfbXtjZKmFbh0t7nso+1WzscLHw6gqBBFcFGFa/Z5/3wD6R65cAQNYr7zosHpAkGfXHMjo5Nef1WTILZZOnrVZr/S0Lb7z4nrZ/Z+2Y4Wy5Pn3ERMzvjoR6R5pM7TeKiI8joiNsDcat+Jx3eXb+vzuMKIZhlE+0tRevgWbArWU5x7FC65GxB7fK68UAAGey8EbMxkvJAEDn3a0c/tFEOk0gBUX6c/+r6DTIcVx+Zlbi6s2JKzflpaS5TamKYdjA9H3g8T8ayWXd0//tf3gdH0waERfTeOiAPrf2I7WwD5U8KrTPxW3Z2dn1j68KemsckgtPEc5rbDffFvXHL7ovc7LEo0SjRo2KiorcmuxduHAhIyMjLi5OEqAlJCQkJCQkHkMkAbo64X1CPaxcXR5wCKHua75RNnRjPAcIicUHmZ3TGUnUDmiaRlgFYzwRCnr5pfjLe4JnTmiy7ae+ece7LPwYwzAcx0PeHe/+dABFTLiVZdzmTPO4OwhEFD2SJMW0PMH4aKPRKJfL5XI5TdNms1mv18vlcpVKpVKpdDqdQqGwD1sLGN4neOIw4T7RTN63qw7F9dvm1+7gpFk15MZ46YdfPax5fsaXNdEBZyKbNOyTc4gIFvBDQOIe0K7nlpifPhiUd7Tr0s8iGt22Yujw0euyyFAAUNSLjPh8av/8o/1/X+Dl42OxWP6M6Hrzja/yv/5N17Md7u9DHjxT9PMmDMO0d1AqlSqVSq1Wq9VqnU6n0Wh4b2XbOLHPK2i//FC9kCQpmOgVADiOqy4RHCGkpNizLZ9xUSduxScqjTtvgZrHu0k9wfLIJR/IgoSDW4nQAOdCpVIZHBlRJ6ZuQJhwSHXlCPhQWMGns3NTug4p/GEZYFjske0lK9Y5LIbR3rqY//6su+Fn84kEzGCy2XQYjcboXz4n/zpCk1YAAIQMTqbPnNVKX72hHfqUrUQsbFan0zlPpzRN6wb1Ddy8ogLvE4BS3TsrYlj03g0sArZczxf4PN3d+Sxl41j9Nz+JtXnm03keXr2suOTEh99t9Wt3pN6TyS9/nPy/T442eXqbttX55b+7VrExDHPrBmbDf8yTfkGOadx0Pt5P5x+L/Ho6Utp9ZWBY1PwZAy7vSsvIKC0tRQj5jupf/9jK6M3fKpxmraIVWz3sAABcnPGVYLlkwSEhRtu2bQ0Gw9SpU81ms22c2N/5cByn1+ufe+45k8nUpk0bSYCWkJCQkJCQeAyRBOjqpLjYzXZ7ezIzM6vrujiO113zRYMz6/ifevuWRSydrWwaZ1+nzquj2lwWfgBjjZIFRy2l0vqaLCAkYsIzsT07qewSALZ+Z4onlprxa6qkhxIEoVAoZDKZTCbjNUQ+V5VzTY1GIyZzcxzn4KWo0Wj49PFyudzWGp/GkDcFdtjzbjabw958wXVXOYu1eO2uPX7tdzcfdGnTrmrcds1xXN73az2sXLZNOIa0JtB5ez2Z/E/E19MdDzgNDE2HZpE/vR+/YZ73wK6CTYV/9/bg8jMtXnrGwQcDJ4h2+355Wp8w/PreLrNe8wsMAACyrHxraGcqKx/TaQBAv/eEqsVtwZphGN492WKxWCwWk8lkNBqNRiPLsgaDgfdWpmlapVJptVr7cEscx2topzzvAS12tFqCdhUKBXXi0oWOY11YP6vbNm42anDVr1V16vR6QrA87bl3w757W/CQIkjc97m6iR3Yz8VR44kEYNn04RNKV25MG/KiVnV3SqRp2sTQRpryerJX5vAJJYdP2xRqfv6xZOYBiFh80HTkusV+3Z8IenmkqkmcIiZcbPlZULXEMMySeKVg2ATFE209fJveb79S9vkP9iURqxZickXm2FfpvNv2SijpvF+TIN8YrV8D3/B3xviPfxoAvGJ8BJq7g37Z2v0Nnzg+ZnJa0hUxU/UbCRd2Nnryv7Du2fN+48yOkdqpU+duC36itLAIADKSb/zdfez26F7bo3r89cSzNxOTOI6rkFd74aodwn8xHG8z9cUhxacGFB7rm3toQMGxoeTZ1q+OS05OdojClkeG1F39ef2Tq0NmTwr79q2gmS8qm9UzJ6U4NFjvv5+jvnhdsA9l2/bv6TzqxvlEz7st8Zjz+uuvh4SEHDt2rEOHDuvWrdPr9fZHy8rKli1b1qZNm1u3bkVGRr755puSAC0hISEhISHxGOIq8ZRERcnLq8C2TRd50ipKenr6PU64Xhp164ZRv35SuPiPohVb+MLsReuzl2wUPJ3w1QmWSzxwaIYBIcWY4zi3Ty9mjWNkolwh73Bx6/X5y3E/b44D4Lg7PwAcy79AChnu68VWIfxZpVLZHr34Qc6HLTuI6Vqt1nWQNR8EbbFYdDodwzAO+rJbKIqiKCr6+3duviEcy2aPJTkj+flZyfjs7jf/8Q0QiNysKFaLxTmBWC2BkMnaTn2xxf/G7HtqkuHwOb7Q3oJDFhHS6fBq36BA2xhrYeiffPbCzelfG89e1XRuGTVnSr12rVz4LycvWHXi1+0Dsw9ptFoAuLDv0OU+k/kQyEYb518aMAUATAlJAFB/1ec22c5ZdVIqlRzHWSwWlmWdF2Nq7gHexeBECFXdNF+j0VwdPt2YJO72CwAA/Q56uoZR0yh1wvHgAJDS/xXBcq8W8TXWHUfsl9nEiNrwc8bzrzJ6Q+mhY/L2rWwLDPwLg8EQd2grR9NFJ895xdQlAn0RQoqm9dh9/90+XyYDh69sDvDwUADwnjAscMoogiD4OUqj0fApBw0GA7/8ZhXy1rBYLKGLvzIeOVmy3qPIXO9nn/Yb1Ne0ZY/1xk1boTwyDDAsYuUC8u8D+V8uBAAmM+dO74BcsRYAfEIJ6/EE141zpMF06ETqoVGpACCX1dn4c3zrVvyhy/sPX3vqNXAX+Mvqjfsie+H+3kxhqa2Qzi8+1+65cwgFvTnWk/d4G4a1ms0KlbDbNUJIZRfGXlxcLOYBgnBc169TcucXxa6T3OvlOu9OEDtqSrhysePYiwTe4eKWOtEVMLCSeDwJCgo6ePBgt27dLly4MHbsWACIjo5mGOb8+fNNmjS5fPkyXy0wMHDHjh1+fvdvfU5CQkJCQkJCovYgCdDVSYW2Z3Ic54mM6Ek7YlpJwJRnSjb+zervhGXRws9p4fViq9gHiRpCJmKM4MmwQTJ5dm5enZBg+8LQupHkxzNxlaBewwHD4mX5LGV1qw67RqlU2vtasCxrb7WhUqkwDHPbPsMwLMtqtVqDwVDpQFdldHgFajPMgche3dL/9Qt03ABeUTi2Yju1jUaj2gMRrRqRyWT9/vmtMC/vymdLSnYexDUqIshP90SL+C+nh0Y55rHEMKxBm5YNDq/3pGWO4wp/2caSxm261nV/+Thj6pes4a52zKvPyiZx5ks3AEDXrqnZbOYlJIdRzbKs2WxWKoWNX6GaIpGdcT341Wq15z5LYi0kdh9P5blJLtr95j+1KUSuws4D3s3vnwANABGblt8aPtFVDQKPXL8kpdvQotlfRx/a6vBPZFmW/wz6t22hP3BU0bGNQqNuuP7bG93v2PhQFAAgpVLeorHlRAIAyCLC+D31/IBBCPEh+Xwh3BkqYncFCCGz2Szv0Fp95mLZpasAgPl4R63/iZLLCdJYsnaT6dwla3IqEATQtLJFE//XxiOE7NVnAOAQwhAy0TTm5NOC1CrOaAKACq+EWansIS/lKBXRm365OPQNOtvj1LUcZ68+25fnf7Pa66ku5bsOOxxRNKhruZbmfIaHEz7HcTk5OS4q0AVuNqWVbHe3+4RmTjQa3Or42rotmnjSJYnHmXr16h09enTy5Mn//vsvANy8eRMAioqKiopuz/bt27dftWpVvXrCjkYSEhISEhISEo88kgD90OPa96Pe/uXX2ox23YKY26nEA0ej0YCRFUsc5xajytthkcNisYioz4AXZFosFtOdKD+NRsMwTCX8kQ0GA++/YYvxp2naZqrLB5B6aC3iYnHFE7Ra7dkhYyp61sHoPl2T//IPDan0dQHAWkHvlAclNQYEB3dZ+BEsBACAmf+rljaLbmX7vTi4cNHvAJA2/iPBOsomsearafLwIMpkxvC7OrK9WscPErPZrFKpBAdMTfix8gseYkdlMpm9v2clUKlUyePed6s+x63+wu/epaMHC2UV3a8T/tOszFe+cC4353gsXFYHcW3b5HdoZTlxVqxC6ZGTPp3bKxvVNyde4fQk4I6rFwzDcByHCNyrd1eO41iaBgyTxUZRV+8k6cVxzmxWdGnPC9D+n7/DD0uSJDUaDU3TFosFwzCbtO16oUKpVLJZubLIMHN0JN949M7VDMNQJhOlkCnHj1JjmEqlYlkWIUTTtNVqLX5vrn0Livg4PtRaibDU2V8hLx1XfnfX/231ubJwZkvOT79WQH12h+VGhkChkPoMAAAezYdu9yI4u4U4EDZ19I0pn7m90NmOY3wy/vMJrIbNMRKPMAihmJiYPXv2HD9+fMuWLTk5OSUlJQzDeHl5BQUFDRo0qFevXs7JLSQkJCQkJCQkHh8kAfpBwnFcblpG8re/MSXlhL937NSxobHRFZWi3Pp+RP72ccaLwjIQAGAq6W649oIQch0mz5qNSKECEQUTk8lJg0Fnt8CQW1IOXv5irdnbwhgMBrVazevIGo3GQwcMHMf5U5y3RVdXVkMPUavVCCHv3h3K9h6v2Jksdyi2HxHo69W7A+HnTZNGVZ3AoN6dQlo0UorsCndGofa0Jo8LO4uHC47jjnUfR+cU+r0wqHz3EbqgxHbIt3+n8mMXmHISAGTB/kDT1rRsuVrl4JXpQBWD8SuBC31ZoVBUpTMymSzrs2Xkmcuuq3n17dh0+JOVvkpNwJiFlb64A8vZcuGZgbySCk/1qslO3QNCqMP6ZUd7D6NT0gUrFL37OUx5wZx4BQAM+49ivbs41yFJkneZp8zm7Mlve739yl31GQAYRtGpbfm829n8rOcuyfp151/bpkfP92ow6Zm3xk21/Rq2+CuGYXAArVaLEOJ1Z4QQP5fKZDL2Vrbx1D3yuuXqDb4aKBXh21dmDr5reU9EhdM5eSC+bOAJ1vNuBmqFsFxLD541Me+L5Z5U9vAmKD1d+H9tw3gmyXUFXn32GtytfPtB1zVPDJ3a7/A6KQmhhFsIgujSpUvnzp0dymvTjhYJCQkJCQkJiQeDJEBXJ7xc6Hn97UFP2G9OL/h5E+6ja3tiXR2nLfAucHtFVZN6YhtdASBubZUyzknUOBwrmCwUKyvkFCpMqXE9AIrKSXsBmtZ4izwDCTRiNBoxDFMoFEajUavVmkwmMbdNe2ia9qRajcK7fABA7IL3Sv46cnP61xVtgS4oKV6/x/Zr1twVAKDt2rrz5kWeGM7iMlmFLmdvUfJQk3L6HJ1TCADFK3cgtbLO3GnZ7y3gD0XO/t/1iR+ZyklZaEDBgrtuHjqdTkyDxnHcheBb7RkIcRx3EVOJYVgV3Z+5jLyC9btd15FHh3XftKi2SRWEUnidMvutb+lS4X8Qra+YaXvVwQmi/V8bj3fozxaVCFYoWrySCAvxnjqhbOP2Ol07WlUKh5mK/wbX6/VqtZrOyfdr2qgYx8GuDnXpGgAglZIzmYsXrIgdPrByCxIYhhUu/MW+RNW4Qfnuf/M//wHQPZOxLDIM9/MxJ14Fp0nV660pbJke99KmdB/m9/LzPqOGlO3cG/j74tKpH8iiI+j0qmY5ZrJytF1bkYdEg8orSvHaXR7WlIsb79jjNrdh+d9H3TYS+ukrObN/clvNmJBUnJ3rHxb6yCwWStQotW0Ol5CQkJCQkJCoDdSIh+ZjS4WeTOjCUnv1mYcp1Z+IH7R/zJvVq61ErRbeZIp5aRrfieGSqJ1wFmETDESZMbIEL8xE4CpEmrL7jJeVlyNceM0JLy0QjHFmWdZisXAcZzKZVCqVRqMhRGypb/eW4x74DlOCIHAcRwgxDIMQ8hvQpdWV7U0P/Fr1lslDCX8FdLz01z5P+qBs5qnPIx7kmC7y4SXpuZm215zRnP3eAq+nugCGAcCFTs+brqQCQNDbL8CdVROr1eoiAhrHcY1dwjF7CIIQzO1WFTAMc7F2wo+oCjVo/8HUarSXB73mur68bp1+57e6/og9EGQiCyTGM0nq1g0FDwX26ViTPRJGoVR2OfMv0oosESHEGkw+ndtbzyamDR6nctrQwHGc1WrFcRzDMIThABC7f5N9BbasHAA4kxkAnBVhz8EwjM7Ld7h0ydrNAAAcqPp1104crezdBQCojCzz+cuC1/Lt040pLgEMA5YtXrKS3Hck4NXx1J79kWt+DP303agtvwIAUsiJ4Mo72vs+3a3S5zpDpeeEzX/TbTW/sU9Vl727+VKK2zqeqM88iR8vqlp3JB4vODvu50ULCgrShcjKyhLsCcdxZrM5Pz8/IyMjLy/PZDJJkf4SEhISEhISNUSte9B9qAkNDb1165aHlVOHvCF2qGTzfzsOdh+Ytg+vJiUCYVjwBxPzPnPc/do1cVul/YUl7g/IUAZqAZNullDgtIUCTFaUTQeEA0ODoLhs9/8tN1lAJ+z3jWir60cOXnozGAy826lYNZZleQXnAQZBq1Qqq9VKEIS9B6s22F8eEVJ/5yI6PefasDc4kYScnpA8bHpaePCApN32H0+OZbNu3CzJzUM4pvXyKsvJ8/wS8Svnuq/0kOBsGlu+6zDu562IDTeevr2jP/v9RQBQ98s3fHq2M7mMKbZarVarVdABhne/rb6O327T3oXGgYpucLFHo9EkNBzsuk7kj++1GT/KwwZZlr20//CNgdP4XxXx0eFfTGvUq7OYUlxF5CrhiFRVy/jSP/cKH4qsUxM9cQtOEBEbfs54aqzAMY6Tx0ZZs3L53zJGTQ5dvcg5qp3juJx3P1f3685xXErXITXRSY7jiLBQKiPLVoIQktUJodJuAYC2ZVPOZC5JSq6z6AtViyYpnYVHDjKaFLF1ASD0799z+o2i8wsLvloIOOb37NM573xmPJEQ8Pok1dP9eA+l7Knvmy9f46xWAEBqldegvmV/7gDGzSeISqi28GeerLe+Df3s1ZyPFru4dNNPXq/KJXAc5ziuopNDm2s7zjQY5LpO8Zpd8t/mVaFrEo8FvAS8adOmffv2ZWdnA0BwcHCPHj1GjBgREhJyHyKjly5deurUKedyf3//FStWOHcgISFh9erV+fn5RqNRpVIFBAQ8++yzXboImBRJSEhISEhISFQRSYCuTjzP5pfz4U+u0+MwRWX/9h3f97+V1XW36jOkZ96Xv8K9otiBqN4AEPrehFZvv6wQkRgkHiwEBoJCJoYhq9WK6XwYuQI4Di/JZQLChSraZSCkGcG4Mkxf7HYvM9wJ5zQajUql0kVyQoqixLLG3Qd411SCIBwUcNZgbrhnsdlshjoBzc7/yVBU8rDplptZYu24hsrM2+7fvvPFrYFREQBw4Y8dqS98UMkeE3hsp7aVPLeWITYqmOIyY3GZ/+QRRUv/xHx0bKkeADLnr9QO6ATigq8L+CD3ao+AJgjCYrEghGxR/LwDO687YxhW0SvyHxmZTJbx+c+u6smI1sdWRzVp5GGztxKTTrcfDXZquOXqzZRh01MAgt8a1/Hj6dUVQGpDLCjbdO6q2ClaH+/q7YPnxDVrmoFhICRBmhMulq7cELX5l/Rh46nMHCguBY1jHDTLsiFzZ+k37771v5mAIWA5pNNyegGrDfLAMW33JyrqwoEQUhIElXrXvzh8+bcMw4R+PTul+zDgWO9BfTmOUw7uq1AoXNwA5H25wO/FUfq9hwLemMSXEFHhdEYWwvE68z9iWdZoNPIjliRJ7y9nBcrl2WNeDXz7lZyZn/hNGB0wdULa4HFMcamLrpr/OSirE0iJpCLU9e+k/8u9x4UDOR/8SNQJJAL9mJIypqSc1d+TqlHbvY1/aJXSbzqvfSqjwwAhc6orT5KCP/4BhMD1CpMUFirhEpZlT506tWDBgg0bNjgsgWzZsmXatGlDhw6dPn16p06dqn2KdqZ169YO+4d4f3mHavv27fv+++8JgmjatKlOpyNJ8sKFC/PmzSsvLx8wYMB96KeEhISEhITEY4UkQFcnGIa5jZLjOO7moNep3EK3rRmOX7h26Hh8tydcV6tAXJ5ISGbO3BW75q5osW9FTMc2HrUjcR8Jr1MnXShIlPEKwLwCgGWgJJ/zU4uoz/b6M7AcJ/gwgSwmT/Ri/sGe36XuOjXcg3LJJAiC31ZvtVpldi7MSqUSMMx0JyCaf7PxOxaxLFu6+b/s71YzZa7y4AlD0UcaDmx3emPKojVFK7dXus/N9yytro0ODxyT0ejiaNHSP+uu/oy10hkT5gAAXViiVCrh3tSXgjjMbzKZDCFUQysccrlcJpOZzWbBEH4+Q53nlzYYDEqlkiCIwjWi7rdIIeuV9q+Xj4+HbaadPn+26wtiR/Pmr/pr95F+J/+o9kElCwuisvLd1wMAAEyj0nl5VW8HKkSdTcuzh44XPOQ1qC8W4MerjQWLfvH/4A3nEWgwGLB+3YKaNcx86Q1l7y7mfw87t4O0GmjZhCUNFV1vUxOy1J4j7NVMeYNYPsY/cvUizPu2JbpKpQKOA4SUTeLNlwSEftPJc9jc940ff5Pv7wNyuaJDK93LY4tefivznU/Dv5pNUZT9B4eftzWd25Vv3QMUnTbo+YiVC4N+X5LTbxRwIKq9KhV03r2G2jgWNGNc8coddF6Ra/XZd0Cnkj3CFejsAvutEqqW8fK6dXAvDaZSRk8cAQDFeQVXFq0u/+c4XVCsaduk7muj63ZqW2ktzOzBQmP6BwtbXdl2tuHTAECEBGAapTVFQLCmafqR8euXqHaOHj3at29fF8vzW7Zs2bVr159//jlokJtw+6rz4osvRkVFua7Dcdzy5csxDJsxY0bHjh35p4mUlJSZM2euXbu2Xbt2gYGVN/CRkJCQkJCQkHBGWtyuZqKjo10cZSn6etsxnqjPPEn9p7itExnpWcZCdyL1+Z4Tbhw64VFTEvcRN2IuhnP+oS6i5HDGLrRZpBonYgxtj33UM8uyZrPZhVPtA0m/I5PJVCoVn0OMj2OVyWQ4jmu1Wt7U1aG+yWRiWTZgZL/43T9W+qKn2o6sivocu2xOzKMS/gwgOsCQ4rZkk/b8B0DcHc8l/xxTepBtzEGAVigU1R77DAC8bwzHcQaDwdkdmMdisZjNZs93urAsi+N43p//BEwcKvbTI+Ufz9Xn4rwCF+ozjzkp9eDzb3nYoOf4D+/teWVdtwe8llm/VUuxQ3lz5nEc5zX0SQAwHTjmwrOeCAwAgJBpE+OO7iDCQhyORu9YTW7edbP/cxUSRrVqTWqve9RnpFLaNqBY/bzNOAYAGo2m+PtlnNkCAP6vjkdqVeT6xYEzXwUcwzRquHNFmUxWd9MKtrCYiAqzHDpROvvroO8+4Vg246XXS3/6TXXvdz6GYdbkm4aDxzUjBsbs/YOzWKxb/8LU6qD334g+uKXujlW6ZxxFMd2kMRx1u28Y76zNsIWLN9J5RdFbv3P1PhFEfzmdqBOIebn/sJjOXS3bsq945Y7CJX+cbvPsnvbPHKjbO2/+StPF61ROYen2A+f7vrw9vGtBdo7Dia7/8gzpaj3MGV59BgA6t1BQfQaASydOV6hNiceH48eP9+7d22w2x8TEzJ07NyEhoaSkxGKxWCyW0tLS8+fPz58/v3HjxlardcSIEfv2uc8kcR/YuXMnSZJ169Zt164dH0CDYVhsbGybNm1Ikjx+/PiD7qCEhISEhITEo8YjEnlXS8i5dSs0IkKhUDjbSgKA6cK1jAkfV7TNS7v/a/JkLxcVxJJ0OaDfJ2AJ58DFfpND849qRGyCJR4UTHkJ7lXJPHX+dvm4+LRaznAqDZQWu26HIAj7uB6apl0EQVe7Oa8nUBRlH8lIURQvLSGEeCthsVNU3rr710s7GvzxbaOnXH20HzrEdFvOcvePj9sNyJRpX7a5KiDfa7Va3kAAABymU4VCYXQZZ11pVCqVJ14KHMeRJMkvdbiIdOPRarWl/51kSWOfn+cKrsrQNO2J+w0AFOXknR7xuvHsFU8ql27dn5tyMyTW1WpoRYl9dUzugnUeVm798yfVeOlKgGGYz/uvl37+g/MhOq8we/x0PDgA02lZPVm6ebesXzfBXUS4j5duUF/k463X68MWfJ4+fIL90dQew/gXFVpvY4pLHEpw/7tzO8dxGIZp1OqU7kOBYfV/7/d5Y5Lfk721A3rJIsLkkeFeg/shhAwnEnJmzAGAzIkz6Jw8tvz2Bo6Q2W8q6sfI33/j1lNjrddTMRxX+6d0HgAAIABJREFUT3jONhvjOO43+fmc9+ca/tyZfiIhcMYUZZsWvgo51rW90WgEGeH7yove/XtmTphu60/56WTba/aOnsubZtwccqcaQs0O/QYAN2d+S+kN5ks3AAA4ONt8hOd/FntMF687F7Il+sNx/Z+4ujMkMsJWGBkZmZaWJtYOdTO7EldHCrn9fOUAJuXMkBBhyZIlVqu1ZcuWx445LqzK5fLmzZs3b9586tSpPXv2PHr06KJFi3r06PFAluptsCy7fv16ABg5cqT9jjEMw3r06HHy5MktW7YMGjTowXZSQkJCQkJC4hFDioCuTkpJEgBiY2Od79iyZ/9UCfUZAJJHzXRdASEUEuIYnOUMecijbEIHOo/2qFsS95EARSUdLTia8vKyU1dFBGjMUAYAcrlcLBxVUGvmc1upVCqtHfwhDzW1GsVsNpMkyXfbdcAsQRCxSz70HftUg50/KmMjXNSsFuTRYbE7Fw0qT3jE1GfgrU7cQRfaec5ynCUr3z6MUaPR2FbUNBqNTqeTyWT26xlyubxGlzc0Go0nAc4mk8lisbitSSZcSXn18+wvf9nR63nnoxzHefhJuXUj5WBMXw/VZ56EEdPdV6oI3oH+PiM8CoIm/L19/P2q9+qVoPkk0VBxa0oa7uUVuX4xAFiTU8UCaU0mU+C0ieYzF3Q6HREsuhWdq8h0hwf4Ia1G2acr0txeiQn5Ypb9EgvLshRNK+rHAQBnNJV+szS1z0j9pp0pnQff6DSIT0jIq88AYL12w6Y+A0Dm+DfShr1kNhiRUgEAZRu2KSman5k1SqVCoTCXluGhQQBAZ+YUfLNEWT9G8WQvm/husViosODYI9uj//7da0h/ACjbdcTN+0FIHhpoNZtNqZlRC97VNLhnzSNmcWWd8QXh4HjTofarjGq12kX13C8csy57dBFx9RkAvAMe/MCWqJ0cP37c29t77dq1Lr4H5XL52rVrQ0JCEhISanqd/uzZs0uXLv3ss89+++23xMREZ1Mpo9HIf5oaN27scKhBgwYAUFRUVEPLvRISEhISEhKPLVIEdHViSkyGhg0RQo0aNUpJSeHj4ziOS+n/KlPkKtUPEeBLF5cJJk3iKPr64RP1u3Rwcbq/v39+fr7r29nyXQIuls5YrqdbLVa5QnI5rEX4+HgXkxTywCjDAdxYjrzsdBMRNw/GP0wLGOIY50cUrVbLh3w6n8XvLXUo1Gg0FEUJ+uc+KNxqfDRN+3Rv692tjcViqbtxnlqtTn33Oyot23DxOq5VYxolozeyhupxHA4YP7TLojnV0lTthPD3povKXFTAve7ZsZHYc0Lrq9ttAwwh5DDY7lv4FUIIx3HeBJM35HUN/7ngB7zzCodarbbcyEga8w7/K7n/9MbgjsOzDttbMwtulHGmKDv3dNNhHr+PO41fvWk1m+UeLAl4QnF27oG4/rxxRNTaL3JmLbSmO/oh2Hji9IZquWgVwXHc953XSr5aJHiU/GufqkkDn7EjStf86f+/F0y4wDCTy+UGkwlr0gA4jiTJ2CPbUzoPDvvxS2XzRmVnL5YvX2u9eAWEst65gMrI4kiDee8h5KUDAGWTeCIqnLpjIa3Vag0Gg8ViqfPtnJsDRgMA5zRIbnRyNMpAahVSyIGmOZph8osKRr4MALLGDbiCIqRWGQ6ewNo1VyqVer3et0sHcuseAACEotYvEZzY+ULV/8YFvvUKACT2nGAVSUIIAMBx1uz8q30mKxvGmK+k2h8Jfm+Cb492LZO26g+fvTH5k8Z7f77c52UQSQ7pIZyVOvnuvM7fzLr9xhHy9/cvKioSrGzNEB2ibsEDfJhCgXs2n+AqJUiUeIRJS0urU6dOXFyc62rh4eHBwcGJiYme5m6pLL/++iv/4tSpU5s3b46IiJgyZUrjxo1tX6lGo5Hvg07nuAnMVqLX6503Webn51+7ds2hsLy8HAAEvw0fCBUKg2BoupZ02y38gx5N049AZDrLsg/Ln10Q/n/x8L4FjuNsukFte3CrELx7HkVRD++HwvbHp2m6pr8aahqKoh7INuhqwfbFwedNebCdEYNfOX7Yx4kkQFcnioYxttexsbEGgyH5+OnUQa+7PVEe6AssK/P3MSWnOx9Nfff7+kd/d91Cw4YNr169Kvr9UZFhemnz7lbPDfG8vkRNgxAKYM1FeMWsUTiOC/G557lCzIIDABi/ELww03621Wg0LMt6YkpgD8uy9vc0tQG3+cEIgrBarTY1kCTJkA8nYxgmk8kYhuGzTlmTM64On16hz5Eghb9sYRd8+Ahnlo/fMP9S70kuKiC7rb48CY2GtL68hTQYQMi85b59xTIMg2EYSZIKhcJ1jk17DAYDQRDO9TEMSxo8zb6Ezi/eFPLEwLR9aq0WPEi9yMOx7LHubkyfxbi889+WIwZW7lx7zEbTgdh+tl/Tx8wCAGWTWN/hfcr2HDEmXAG77526Sz4ICA2t+kWrhXrPP3tKRIAGgKLla2N2rS1d82fakBej9m5wNlThpw6WZRmWVVE0Qihg2Xxlw/pWq9W0619efQYA439HtJ3b4946urAY8/PhVy90utu5BO3RarVpo18BACAIrlwPABxF266rptmUzoPD//uDoigLgXu/OLLst43O3cb9fVXNGhGhwaV/bEcyWezejVarlffu4BdR8j78mtx3hLp8zWvUEEQQ0KYpwzAmkwkhZDQaI775+EanQVH7NxmMblZZeBuc+L+XyHDi8sBXzanCtsghH0/J/Wixg/oMAHlzV+TNXeE/YYh/r45tru2gSsplIQG6zi2L/9zLVyBCAmiP82HYyP9pA/3VTFsGgpCQEDEBmrN49BETRFB9BgCtZFAmIYJWq8UwzEVuDB4MwzAM89A6r3JERES0a9cuPj5erVZzHJeWlrZ06dJbt27NmTNn2bJlvr63PX8sFgvHcXK53PmGxObIIXj7lJCQMHv2bIfC4OBgACBJkleiHzgVit02mUy1pNseYjJ5lDm8lkPT9MP1ZxfkEXgLcGfh+aHG+Y7rYcST8JdaziPwFsDJ1bNWYQtvfdAdqRKPrA7yQMCpe5bcNRpN6hCP9kEbr6TSxWXWQkd3SB7z1ZueNBIfH+8cyMBTsNCNfm1P2viPPK8scX/w9vbCSvMrdApHljpsBaVLi6n8HGt+jrUgx1qQay3IpQpy+RdMSSHYLf0pFAqO4ypxg8snsalVArRbnEO5WZaladpkMlmtVj7jIhsR1CppmyLCvdeN+8s9/I8NLojr2AbTCDtB8xhPJToWsezFHhP4seo2xV/NxWjQNM3fbfAZLCt0onOh8fINgZpFZdtDOhcXFLAs6+EbST99nrqV63ln7Emb/GnlTrSH47iDTwqsKJgvpeR8vMR46hIwjO+YJ4PfeclrQKewDya1HFdJ59+aQOvtpRbPoMCWlpuv3QAZARRFXUxyke6V47iMUf+70WlQ0RsfFq/aaNy8W96nq+1owRc/3Hxy9I1Og9KefgEhpNPptFpt9jufalVqe2MiHkWDWACAO2MG9/HihWMAwHy8AmZMsd3yyhrWR1oBlSrs5/nad19TjBtRd/OvsXs3chyH47hCoUAIEQRBkmTwJ7dtu8p/35rS5Wle6tJoNBzHMQzDMEzMv394EmXDy1IWi4U0Gupv+6FV4ub6679CSoU8Nty+Wu5Hi100UrRi6/XR72Qv3iDz9VKEBZkSk31G9OEPEX5erjsg2mbGPVJ4w4YNBT6wjOh3kLJRbLe0vZW7tFt5UeKxpVmzZmazubTU1WZHADAYDEajMT4+vobWoRFCL7zwQt++fSMjIwMCAgIDA9u2bbtgwYIOHTpYrdYZM2bYZhj+UyN4t+Z6chA8+lA/DD/EXZeQkJCQkHjYkG6mqxMvZ+NLkacgpFZyRrNDCVNSLgvxp3Idw3lYo5njOE80kcjISJZl8/LySkpKAADDsODgYFNhybVVOzx/FxK1k7p1Qm5m5XC+Hm0B5lg2yunxPmfah6bj55wrE4H+9fas4OwGmEwmq8R6uEqlomn6oXtE93CXDUmSDf9akrtofe7iKjkMUGarqiajnx4sGIa1PbTqZOtnxCqU/3PcuZDKLSxauSNo/BCEkIudswqFwm3ev0pjm2C1Wm1FIymsVqtSqbT1TaPRnB3+pmBN1mD6p17/wdmHPVQfrs9e4LoC7qNjykjB2HyHr5jKkXLpiuGk05rBvZSs3c2/qDt1bG3bAhn/xftnd/8ndjRz/O0V4uxpH0T+vpTxEV7BxQGxBiMAcAZjyc9rXFyu4OtF5dv/4V+n9BoONFNn4edQLxohpNFoEEJMaTkAAEHwGrTx1DmYMz/oi1n8ah+dXyDHcT4Y3/zPQTw4kCYdY0kyX3w9es86mqaBNt7oNCju6A4wmVOGvgQsy5kt4cu/ZepF44H+TMHdGwmEkOVWtiI4wGKxeB4YaP+v5NfosPqRLU+tu/XVilKKpjIqsC6S/f2a4m37m/y15GzrkZac21HP5iTHoGkPyfnveHBMXduvGIY1atQoMzOzrOyu+Q8rYuWsadek975VOI7HLpuTMmlO5TogIeFMt27dDh06tGfPnueee05sGuQ47tChQ8nJyVOnTr2fU6VarZ4+ffqoUaMKCwtzc3MjIiIAgF+14rfeOyy/2URqwfXghg0bTp/uGFtjNpsXL16sUqlcO7PfNxSKCthPKeTyWtJtt/ChIQqFwsWKae2H/xril04fdF8qDx+58lC/BbPZzC9BqVSq2nbz5jkURdE0rVQqH+q3wM+6SqXyod4jazQaH+q3wMecQe2enR7qyd/GQyYV1XKi69dzyCYkVtNZGuBLnNVnHovF4kmCLwDAMCw0NDTUbhP04ZbDxSo32vVj0lOvOpdbrVa5XLKBrnVEh4WWlJYV42rkbvbxpw0yrbdDoeVysmDlBruX0yxb9RmNHzYP7xePW4xGY8hrz+Uu/cOVjSm6HU5DBPjQQvu4Efaw3iF5SFij+g3Wf3XtuXcEj5rOO3pH8mTO+zV4/FAXyx4KhUImk3nom1wJeNVPLpdXIu2S1WolCEKlUvEyojXb1WaF9kfWePgZYWiaPCywYnRPndKa3XWY2O1Fzytfm/ZFXOLOGutLZfDx9w9d/FXOFOHReBscB4bJGPtK9L5Ngv99ptzTP7JNfQYAoBkAMF++5tOiSenqP3N/Xh13dIflSjLA3Qho4Djj0dP83Evn5peu/tN76FOYt5aiqKA5byEOUnoMdVjGZvVkSpenMbWKX3NwsITOnPgmHugvb9uC1ZOWwyf5Qo1Gk9LvucCvZ3s90dZqtVba2I7jOIPV4v/m83VeG33hiecrYEmEIRYh/dkrLU+uT2g8pP6audfHvle5PgCAQWhPQHh4eFhYGL98hWEYjuM+ZzacH/q6bQOBIr5u09/mRjS7HS7dbMyQ0sMJRat2YFo17q3BvbSYlxb30RJ+3mXbDzqY/svjIgJfG/XwPtxK3AdmzJhx9uzZiRMnJiUlvf/++yqV404giqLmz5//xRdfdOvW7aOPPrrPw0mlUgUHB+fm5paUlPACtEaj4b+JiouLAwPvSbJaXFzMvxDcVRkdHR0dHe1QmJ6evnjxYqVSWUuUXEVFMtnIFYpa0m238H5Kcrm81oojnmAToB+WP7sg/Eaih/ct8C63vFKhVCofXlXLaDQyDKNSqR7ex0+DwcAL0PyTzoPuTuXhBeiHLhDNBkVRNgG61n60b2+afGhHO8/DOkRqJwzNUBRlmzs8v7/EtGqWNPoP6Vm0dZ9gBcpjAdoZOk9Y1AYAQfUZAEi93s/fv3KXc8C2L096eKsWfH28fQEMBkN2GYl5Bzj/VVnKGqFECh9H9ZnjOLZcQN1TNog2Wiz89m3eyhYhVFHzDYVCIZfLecfkh31OdI3RaGx1eevZhoNFa9zRZATVZwDA5ffj3sLDPRM1ROMh/bUX4xJajAD2XokKiW529Z80LKHhYFtCQj6g2CY689NIjbrUMQzDmxVULsiapmmWZdVqNUVRNybOEavWdN+K0DjHR3cxEvcecluHCPDR9m7PGs3l2w962KznlJWWcqYKKP6WG7dYhsFq2WNMw4H9SzZsNR8QCL2/DW+HQjO5b84Jmv+h8wAg91b+b1u8ZFXxklUA4PfT3NQRE50roDv3uHRuAQDkvv2x3+IveV8OhCHhTVQcx0dkO0IQQNNMQZFp93+a55/hBeiUzoMxb6/At6YUzPy0ACD28DaEEG8b7brnYivoHMeZZVjrK9sS4ge7+ETb0zppG03TBI5TNK2MCb8+9j3vwd3Lth9wfRamU7N6u7cpI2I2f5v5+te0SFJEhJD9k1tE4/iI63+LNY4QCpo0rGjVDpY0sqSRyrqnTaJOUNTqT40nEnPeXwQA1hu3st6YBwihaRPcv1uJxwCO4/bs2eNQ+Pzzz589e/bzzz+fN2/eSy+91KFDBz8/P4RQcXHxmTNnVqxYYTKZAgICXnrppePHj/fv3/9+3iwxDMPv7LEJlyqVys/PLzs7+/jx44MH372l4Tju3LlzABAdHV3p5w4JCQkJCQkJCUEkAbo6wQl8Z3Cnronb/MNCQVxyjfrk1fQPf7QvYUkjAIipzwCg9aqkW2LlxBSWqkD+aDHKi4qvrNmaPWsBHyflM6JPg/cmh8bHSUp01dFoNPU0GgDIzcszmUxAyDlchlHmAD9frbewhS5CCBByjllT1A0HAIZheHVPq9VyHOd5DgEMw9RqNUmSttDUWps3trogSbJl0ra0GfNK9hypxOnymoxboazWq7v2pc9eaE3JxLw0oe9NaDhumJefb81dUYyoenFRhvOpSVczvlxhSLyuad4gZtakiHpx+8fOKN3saImAlHLyyDkASBryet11c/nNgLxlAUmSMpmscoHJFQIhZDabXRiAuIVlWYvFIuNQ2PdvUwXFzhXU8TH1Wrf0sDWO41KHiaQQsPsgIxwPHz/skshSYhU5++onFT2Fphl5LROgAeCJ1Uv2RTR3W8105nzem3NCvvvYYQWOrQ7jF+rKDTYnz7FULvN+91V+1NGFRQAgqxuhUCgqqUvZGYszt7Jsr9my8oL5t52aU7o8DQBEWEjkbwvMwLnwIndt5U+SZOsr2wu3709/5zuHQ0hGRP76SfrYWbd/JXCEkMViKfr9n+AXn+aTGd5Wn3FcHhlsvZkNAJhGdTvumMCJAB9MqSCC/VjSpGoZr+3aKueDH+n84tRB0wDAqKuesJRr/V8RO0Rn56f0muxQqOvRplquK/EIwHHcoEGDxD4jVqt16dKlS5cudT5UWFg4btw4AKAo6n4K0Pv37+fv62z7IxFCEydO/OSTT3bs2NG3b1+b1swwzPHjxwFg5MiR9617EhISEhISEo8JkgBdnSCElA2iD8b1b31kdVTrZmLVHNRnt8gigist2upLytxXckLn61O5y9k4/vEPuV/9Yl9S+ufek3/uVbdr0v2vFQopqqKaCAn2yBKaR14/2nrN0Xaz7O/D4XPftsWWms1mz/dhEQShUCgegezJFcVgMIR9+Ub0N28DQqzJkj7rh5K/PBKjVS3ja25r0s1T587ZGSaw5Yas9xZkvbcg4OXhnb/74IFEpsc0io9ZNc++pPvq+TuP9aFzC+8WIeQ3dmDR8s0AYLp6kw9DtndhZlm2ptXnOx2p6toYhmHJAyc3+nflxWffcD7a7PgfnjeVknjJxWVsUiOVV3Spr6NSVi2wLFuydX9Fz6IsZnlF9j7fN4KXf5M3cYbbauazF3OnzgpdNNc25BBCrNkCGObKeEccRc/Oln1HAEC/aAVfonlhpHHjdqRRs4XFYKWUEWEWi0Uul+et2wwA5H+HfUYPY/R6TduWxjMXMJ2W1Xs8wdqtL5oPHMNDgphcYTcYOis3tc9IZYsmoV/MssoJwXUX91nFEPDqs3ev9mX/nbx7Isumj53V5tqOM/GDcW9t8+NrDAaDXG/KnPdr5rxf75yLGu9YeHnga7z6DAC8+iwLC5LXrWM4eh4A6nz9RtrImebLKSVrdtlf1nw9PXHNlsj+3bwDnLJueExZcbGDz4ZbfAb3qPTlJB49+NX6B90LRwwGQ3Z2dmhoqFqtxjCM47jy8vIjR46sWbMGAJ599lkvu3CW1q1b161bNz09fc2aNc8884yXlxdJkrt27UpMTAwKCmrSpMmDex8SEhISEhISjyaSAF3NBLww8Nb5qwmdn9dc3x0QERbyzngHHbYSaFrEV/pcna+jFcNtXD5OV9Fc7N+Bk/T7TgkeMp66tCekc++MfZWO6ZaoNN5Dehd89bNzuflqCoTfFrJpmvY8CFQul3seK/2IYW+lGv3dTA8F6Oj3JtVQfy7t/Pf6M8L6WuHPm/4+dan/sQ21YfMBhmG9Lm79O6izrST8+7czX/8aAHAvjbZHu8Kt+wKG9LQ/xUWQZjXCsqxSqbQlX6ocCoWCKdWL7SDRVCQU/ea7P4heJTbccj3dbQuoakZyOWnpYt8RMTsXFCxcr/9bwNTCYjBqauXc3rBPzzwZAeKbe+KO7uD9lM0Xr5St3Kh4djAAcBxHEIRh31HtCyPJ9VvAXEELcgS8+gxw16rCsHIjABBR4URMlPXUOU29GJIkMQzjrLfHnqJeNEdRACCLqBO1a83NrkPwyDAmI8uhbVmDWNZsYdIzRa+uVOB1gqP/WM6/L0WLJv6zpmWPfNl23Hz+0s0nR/u/Nl47YqDDZimEkOsIaADgrJR39zZlB87ELXzv6sQ5uraNVXWCMLWyZO9xVaMYAGiw/itNk3omkwnDMGt+icPphL/jOre2ZztzUiqvPgOA4YRw9kvOZEmeNCcZQNu5ZceN31duvbwkT9jHwwX+jeMqcSGJRxIMw+yTXtYeCgoKZswQuBNACHXs2HH06NEOhf/73/9mzZq1ffv27du328oxDJs+fbq3t8jjg4SEhISEhIREZXmU3VofCGGd2vIvDjcbynFck6nPV73Npj/MqvS5Yg5uPr3aiZ3i1e+JSl8OAM79vE5MfebhrNS/kT3dPtxKVDuRwwYIlltuZlYu6cHDm7OieiFJ0m9Qd7fVMI0qbkCNxNBlp2eIqc88pvPXDk/9uCYuXQk0Ol3rY2v41xHLPuTVZ02nFpi3tmzbfpARHMcpFAqVSqVUKpVKJe8wLpPJCIKo0dQWVR/P5us3Y3+de6nNUMGjap2wPY4gxrNXxA5ZhZKwOcNRVFWm2RufLhE7lDpwmuHYBcFDKqGkVbUBDMOaH9ruooJ9Nr/iFevUMrlSoeBHIMeyyj5dCEGhE8N8597zBR36zRw86E5GL/H4SOrqDeupcwCQ2m8UkZGVN/V9WejtVcCUrkPSRr5sunQ1fdj4m92Ger/wLFgEfI2o5Juu1GeEvF57Ker3pbYgzYgf56rDQp0rFi36xXn+90SANlgtYd+93eLE2gudxpnOXQl/ZZTf0z3knZoHz/mf7pk+er0e4sINZpPq/+yddXwURxvHZ3fPby/uRkKEoCEJ7tAWK64tULRAkRbaFylW3CtICy1WWgoUKO6lWHELCRKCREhC3M9ld98/NhyXu927vYsgne8ffO5mnp2dI3ub7G+e+T0CYeqQWUmDKt6gKAp1xuv8sdzY4Lfsc8XF26Z7I/K/32F9AorLd/+p/UFpIYPdjU3yDzNn90tasu5dC2rG1T8HAnlduLu7Dx48uEmTJh4eHhiG8Xi84ODgHj16zJ07d9q0aZaL0PXq1fvxxx/79u0bGBiIIIivr2/Pnj1/+OGH+vXrv5b5QyAQCAQCebeBGdBVjFdEeYEpSqO9d/p8oy4dZR2bys/fcnhAzEXm6evj2LGlhUXn6/YQRYaQWq1xoytNyZnrbEe13W1u6cgdkiTT/rfaZhil0//TZVTnM785fCKIAwhdmDMTJVGRBoeEqsoY5r5j+IwbUHT0gvWYmMs7qkmyv23ivMFGwdaDGVM+CQwPrY4J2Eut6IbZs8bo1dqMsYsAAO4TBhX/djRo24KMCUt0BgMtfhldxU2hvaGrKe++ktczgiCkVi9tVMdKgOnbnIzM3OvxJeduOLWMcmpcN7RRhQd+Us3kO8zjIRjCvTBg6v3E0CgHt1GXXYqz0luhOpwJvDe4frd7gL/zxJGlG7ZzCU7u1B8giLBNc0lYsM+O9UKh0GnvJgRBcuatUl68+io3nCSLZy0zPTB72kJLq302sEA/IiPrxbjpeNeOmJMMvMwpJwuLX3w2AwAAKEoUHqKK8yAsM3at37QpqnjaIoW/rz43HwAgbd/Siues/Nxl0LSCRzaKolx2HhAEoeYh4Wc3CVS6uNjBpELV8PJvAg9X2pdJIpHoUl7E9RzK+B+Coqgkpi7P09WQXxy8d1XaoBk2T8fwKTW6i00G9Ew5a+/2jsLjzIUlVdfuAQB43u6W1ZuFYrEDM4RAahKZTDZ06FC7DgkICBg1atSoUaOqaUoQCAQCgUAgRmAGdBUjxl/luCX3/ZKiqJa7vwPsj0ZuI3vhHZti7s6oTIrwGdYD6p7Y4NhMlArF2aBOpFypSUrVpWYFbV0AUNtPaM492gnFr5KmKYoiCYK7z13m/UeA4CRlKq/EJ+yxlo8GqXJEOHMC5pMeY0m5AmfptQLMgDYiCguyHhC2a2VgnfDqOHVmcqqlVsJIfI9qKVXnGC2++aL0wD+IgB96agOl1WJuMkqnJ0oUWTN+IEmSzQqDoqjqMxKpZHo1RVGisCBSq0N4zN8LeVG5C0HynYQDksZXIz5MHj6ncPuR1PGLE5oPOSCOOtGs/9Prt9Uq1YmYvpSOSQ03GCitHSYhZQ+e2v85yiGKyxhabf0SIak3emtLg68mWvl1XAGKAgCI/bzdRn+s1+sVCoVSqVQoFPjMicHn92Oe7sZARCAIu3IUMf7eZPx1yXJpERnlC8OienU0CYlO/zOx8345Tu7cFfr7rOnw1tG/yAYGAwDA7dOhfD4fZdGsi7fvMUuCFonY1oFlAAAgAElEQVRE3H/vkySJujnRtZTvtxlxJ7JX7vS16cPm3K3X52GPSWxy/IPO43U6XdSl37y/Hp02eKYdn6oihpzCtKu3CYPh+b2H985cSLp4Va1U2p681X7LOyoqETm2TwgCgUAgEAgEAoHQwAzoKgbDMGFELaNB57l+k94/tLHh8Q33u08wi0SEfN8lk7OmV0g39l08SXnlrjY1CyAIgiAARSKiWTeEWiIvKU3ccbDk6EUEQwx5xYB89YyVPmYB3rEJWaq0srMbAMDzdI3buse/XVO+VJIw67vivX/T7e7De9afO8Ej0N/6BFLX/8F9timj5pFlyuixH3M/BFIZRCIR5uNJ5DB4X6Z1HQNQtP6tQwol14JXOI7/B8sPsmHFO5jn6drozJZaEdXlH5o0zfaeAxp9enZhTq67jx2FK6uV2lsWPv1ohvLKXc2DZH1m3vPhc+n2jIUbPWeOYkvAZBOgURRFEKQyhtEqlUosFqvV9pUmM0WHAEPcAzaJU1Fa6uHrc+vbzZksdWg195/d7ziG2fjWITQp7BYNVqEoilQxpWCTNnQ9eUGRMMDPsZPWAEKh0OPryQXL13MJRjDU4/MxBEFgGGZ6XanV6pBD29UJDxGBsHj7n94Lp8nl8sATO/l8fsEPmzTPUiUxDTEnGSIW5q/4EQDg++384l0HNHEVfrCohxtZUISP/kix7U8AQNnZS4LWTUha9McwYOdlzKsdZEhJN75137y6cOx00wBBrUCCILI/n8N4uC4tw2EDdIlEonmcpq5oElJy/gZbvBFtZq5IIAQACFycmiQdiW8x1MC45sGB+O4T7upeTT4RAGGd4HYXfpe5sJrYikIDVHcSuZ/Cpd97js0NAoFAIBAIBAKB0MAM6KrHuWtr4+uy01fv7T4c3rFV3T3fmsZI28fyA7zN1GcAQPa8n8pOXdU+TtMmpWoepWgeJudmmpceYoSiqCuzVp/xbfdixg/KS3GKC3c0iSlmMYrzt1Vxj/xWT7UyTuGvh9MmL7vSqO+F0C5G9RkAUPj70X8jup/pM0HPZEZpRG9i4MiFtCkr7qz79Q2sJP6u4vXpINY+kkz+6Avu9SeNJfggAAC9Xu/ULpaxq0fa+epTnwEAyht2KJZZZ65U30zsReTlRhSV5izerLr5wLQ9/89TVq5Ds2ppAAAURcViMYZhIpEIwzCHE/MJgiAIojIZ1gaDAW8RTbFUukMAuP/HQTb1mQtSlmvMbWQv5jMy7arhAoIgiMjarcB/KnN5A5VDhrw1Sf3xo4BAwCWS0huedeyf2q4PcT3O7KqQy+WG2kH6AG/ZvKlKvR4AoNVqFQqFaOyQwA0rnEYMch7YU9ymeeilw4LYRmUnz0nHV/jvQiRi55mTUFcXWn0GACAIcG3XUvXXMczXyy71OezKUYAgpuozAMA5MiLk7z2mLcntemfNX61hy6SmKACAwxm+j/p/mfSR3QYaLn07pS3cWHzuRsbXawxyZYMzDAVyOULpzKVz7eO0M77tSgpYt4bIGtdlHY4pzd+liYNWNhAIBAKBQCAQCIQGCtBVj3/XtqZvn43+Ju1WfN1eH7RL/RsR8AEAPosmKi/F6ZI55aZdiexRVvSqfDxFUUqlMj8zy0yFuTxlce4aTtnHWdPXSJo3lLEXIbSC/PTVY35t1Spm908AgAMZTOlfr3ly4aoDk4E4QOhIdgEaAM3TNP2jZC7jSKVSaABtBk8mrfmTEgTBbJXAQs6ek9U3GXsJiWD1JKEUrGnIer1eKq3wXy0SidRqtV6vp5OXEQSRSCSOTUmn0zl8LAAARdHstb/xPN0YewkD8WxcpUpBKv+9w9hetJ3Zzsj5gxYOn0sQZK32gOuHbRnbPWoHO3zGmgHDMP+fltuOo9HpAABlB0/wMrJxHBdYKNeMq6fp3Ycmt+tdsPiH5La9dXfuKc9eKhxfrs8iMlw2YYTz3KnF0xeTxSXGQ7TxDzPGTwc8nut3CxAJq9cwKhG7jR8O+LyATasRoQAA8HzMl4CiwMvVAumgXqGXj6Aomtrd3AdWe5558clvzaKQCwdAxW0clhUIaY8moVBoZiSt0WiCln7BNmErlB67qHmRmzJxqe+kj+KbflR09GKdWztr/boobEuVlUu92KgPW5dLG/aKgiZp/tK2MfSL4N7vV9WsIO8qOp1u8+bNAwYMqFOnjkQiQawC/4KCQCAQCATyHwQK0FWPR5R5Zk1c+5EqucLDx7tPya2A777K+WaDzY3MryDIC00G0C8fnjh32KvVaY9Wl8K7nXBtftindcLOgwAAeWlp/ub93GeounFffuG2//fTuB9ihFJpTvm0ZctZFtbyZWwXx7JnGwGQ+OFEmE5bMzi5uvgumGIl4PmXS8QcSi0plcrK6HTvJASjZUE1w/YQ6//VcMZ2u9Tq6gZBECcWHTN92Sa2gmkAAIPBQGekCgQCBEGMkSRJEgRhMBhe46YKr0/6hO38jrHr2eRljO3VR0Alak4KQwOs9D74YBxjO1/IKbn49VKn6/uYtyf3eHXc/cxPv0pu0ytn5BSRXCk2ELojf/NS0nEct0y3l8vlfkd+C/xnn8uSmT5LZ5mPhQD5xt9KZjMp4FodWVRcMGQipSpffRF1bG3a7z5pVO0ze92GD5TERuXMW0VpdQAAfdIzAEDwvs0ei2cCAJR7jwAA8lZvANzkLb6vNy+qvkqlMvvKWFrZaLVaiVicvW6XmMeXSCTGD06SpHvvjgJ/Ly6nM+IxaTCl1Ssv3wUA+HzaL+rSb0UnLj1uOvT5mAUubWMant1SHsdip84Rorjswa7DjF24D4cLAEGUL0tx4m4ulZkJ5J1HqVT27dt33Lhx+/fvf/LkSWWsnCAQCAQCgUDeVaAHdNXj6mXxYENRVz+Z/v6hjQiC8J1l9g5oyC5I+HVf3l+n5edumbYTpYrkTxckj1sobWGHT/TLg8kXX30rCPajKEr/PNuuQym94UzP8Z2PMWyYdW3TpOTQect29R0bNZTOxPb98P5xu6YBcYzGk0flLNtguWeZhiwuy1u5yfWrUTA9x14cNjCtDGx2Ey++/53liOqq4OcYjX/65t/jH1i2Fx06X2vZFBXLZgutViuTySiKUigUCIJUoRe5WCymFW3LDFAukCRZdOifnHW/WXZ5fjNRefcpqGg2Ut3InJwcPrbO6mm3Ttpn2IIIBby3pFBbu1tnLtRtRSlZd/Mwok9/8XzgWPo1vS9J2rqZz8q5JElqtVqjaEtRFL2kirdvGXr5CAAguU2v4EPbM0Z+QRqI0MtHEATJXfmjrEPLgp9/1z1JcerVxeXjvukff2Y8Ueilw5RSTer1qh4fyJrHAADkD5JEobWKEhIRXCKdOpZY9VPwgW1Zy9fhE0fkdR+W+en/UA83+sDizX+UHeK60SFozy8KlQrHcQRB6H/lcjmGYfT8+Xy+UCjU6XR8Pl9x99GDIV8DAOjVbs+Pu7lPG07L1iqVquHZLXcimX1gLME7NS346ZVDCCYRo2JR5B/LEwf+T3XvyZ2G/WLvH4hNOnK3+RBKoarkUlLqNz82GNLbst0rwB9gKMeayYDPk8rs/ssN8p9i9erVJ06cAADExMSMHz8+ICDAcsOEKVZWWCEQCAQCgUDeVaAAXfXweDy+v5f+RZ5pY9npqxqVWiQRezaMTGU6qsHZzQ/eG8s2Zu6+04rzt5j7SEp5NcGxqerSsgAAvssmZ8/+0a4DFWdvpCY8CIkyd0UMGtA5lXNJtAozSc5Me/AouIG1RGlIlYAgSPvkfy+EtAEGZqfRor9Oen85yqb8rFAoYB1CI0KhUBmfxNBRzXovj8cDKAo4q6Wo7M3KW/fwZk2ctG7lLJfL6ReMyc72PtvLZDKCIHQ6HZ22huO4wWCwNJu2CYZhBMH01eHzXszeIG3d2N4B7Tu7mzPmJBVGBjt3a4NKxQ7/XqDxDwm+hSDAnlzy2j/NqYyDdtWi1+ky4u4XP88EFBXQLNo9yJ/He/UHD4Ig7ROv3P5qrmJ/pRY+lVduJrfpRY8ojmko7dBKfee+uH9350b1CAA0dx8IG9dHEMRv3RKNWBhyfKdWq6UPlE4aKZZKg5rH0usoWgBC/j2EoRhJkQAABEWBVIwoKFnzGN2zVNXTVGmTxnyx2KVhJD35svqNnrXuCQBQHTsDADDk5oPcfABAcvu+3O8GAICSPw/x/H0L4u6VHTtDp1SHXjpMAaBUKgEAer2eJEnadqMssYI7U/6fp/znjjOmeRIEgYqFpLr80wX9viRv2dYGh9fdrtPT8qSKc7cwFxlRUv4Vvl2nZ9TVP1BcXG/fd7fr9KR0+tt1esYk/EWWKhqc/lmXW/Rk+Gzun8gM/Yu8A+IoYWRwmzO/Onu88sZBEMT7y09yv2VYK3oFRfnMH5+z8BfXXh3enAsb8mZy9OhRHo+3bNmyadOmwasFAoFAIBAIhBEoQFcL0th6JRUFaADAvd/3N/tsmGdEbcZDrKjPoBK1pMxw6ta6zCKpTRQR7MBQCe+PDc67avZ3tpuXF4pLSAVDWlnQgomISODUOvp+2xHMA3YaHZRzBWaF1AASiaRDyqVrXT7Rsjg+P2r/UcSVfUathA21Wi0SiRzQ6d492LRSvGOz6n4WlTZvoLx2j2OwRzdmy4vXheVOf5rQtV/bvPysYK8FB0VRptnWCoUCRVGpVErLcNwhCAKPisy3aPddO+f56IXKK/FOPdqVHfvXrjHZwDs1E4YHCfw9CYVKdSVeefMBWVxKFpfqn2cpTpe76hvWzjNVXe0CRdGQjXNSP1vC/ZA6/bo4dq6qRa/T3Vz6U+6q7caW5wAABGl8ZlPt1q+KH6Ao2mzNMu2Kb3JTUhU34+VlKoNcrX+Rp457pEvPJvUGBADvGSPB0yfq0+dsu2ZRlPrOPfWdewAA5YUrBQCgUrGkeay7v48u5bmkWTRAUQAAQRAkSSI6nQTF5H9fJOUKvGNrfmGxoFYABQBAgD4lvWTvUfmx8grA0i/GE9duBKxZLJfLtQqFSCTSPX6eNOh/gCRdgiQMGdwm6jM/LIRfL1z/JIW26WCkcMN2s5a8Feu9Zr3ydCYIQq1WI89zc5ZsNvu8ZFEpIhHS3zW1Wh28YmrezuOKWw8BRaUPnwt4vLx9fwMAeF5u7r06yq8lqB6+mkbAhtnPh7zyJ0loOzx07deoUIAI+JKG4eqk1LioAXjT+pizTFgVpi7apLSzgR2bJewPMKkH22rRlwetC9AA5Cz8BQAQMmlI5ecAebdJTEz08fGZMGECVJ8hEAgEAoFA2IACdLXgN6hryZELZo2ZX65u9tkwoUiEt4lWXL7LeGD4le0pXScCAAh5hQfLqhKgAdNfxohY5MBIpEL1PO5ecGyUWbvzBy2LD561jE9fsMFrVN/nX6+xMmDCLzujJ3ziwGQg9iKRSjtd2n/3h005SzcwdBtIPp9vUwEkCIKLYfQ7D4IgmSu3Mna5dGtT3WevNW1UYv8vOQYHDHgjJEIjbE4vmIusMr7wdhloMCbykyRJr6+gKMrmBMI8WjPzWyIAIG99ueEAKrDPoQJzkZFqLZ2aaorfss+z56xXnr9p/fDEU+ca9ehs1xlNiR4xMOObDYa8Ii7Bwd9PE70Bd4Oi/IKLYV0ZLIYoKv79sYrN8xsN62faLBSJgurVLXBzSwox/4+iAMj+ZiMAgO/n6dElRn30tF0zIZVqxbnLinOXjS2yHh8Y8gvUN8p/+wvCQnjenpRGW7hxO+MImKe7Z+d2VL8uAACpVFp67ub9L1dS+pdfGYvFWl54iLhNM/++PVxCg/U6/e1xcwt+/RsA4D62H/IkkVKp0Zat+KRGufuglWnLj//jPmWsUK0XeLoCBCEIouCPYxnLtgAeZrZp5n7HMY3v7Td+OyQdmkR0bhVXt3fgrE8JtQaNCEqfuIwf5KtPz5a1ifYZ2+9Bt4lEUSkdbKo+AwAAQSa/dEiXRNTCo+uiMrHPqL7ZP/0ZwGJn7wA3o/p7ldwUCMsLNiIIIuvcUv73NetHIXyeX3T9qpoD5F2Fz+fz+XyzArkQCAQCgUAgEFNgtmm14NGCeat1WVkZACDqF9Yi709bjySUGkJhXr0EcTSLzXwCJy5bNuqepTs2WuoPDNlDjdaw7pbVpGYCAACKiMKDGAMylm1mbIdUBwiCNJ46lufnzdj7bNBkLrmTtEhn9DqUSCTCl4/31k9t11TfcKQicd6OY4xdPq1iqvvsYZ3bMS4sWYI64V7+ftU9H7tgc8nM3X7IugWHdarkAiNJUqPRaDQamUwmlUpxHOdylGXyNSLgq+89oV+XHDiLd2xq7EKdpEKWm2H5aARpqT7j7WKzF2zkMpnMOeu5hFnhw+Qz0hYNbYZJm9ZvPH5oJc9VeYry8i/U7sJmcA8AeDZ2YX7GC8v22wOslWbVZ+Xn7DqHhVj7SXFBfuyMUX1GBHy/rd87z/9K1L+7zzKGX5qYu2utA9sMYoFWq9UWFt+t1ztl8lJKbwAIEvLL/L7K+PYJFzqmxXVKj38v81671Dudsx92vnqq7apFfE+Pf7uOPRfUqexUeSJ84eYDBf8mFd5Jz1+3O+vHg/qQetKh/SzPSOM854v4mMGPPp7+5IvlERERiM5A+Xl4jOkrjY7kB1T4ZUEZCM2T58bvml6vpyiqwamfdbmFfhMGu4QHAwD06dmIgP9s9LyE5kON6jNNwNrpjBPI333So9977iN7UxhacvUuAEDaKILbf7Bt4iouuEZvnG/zEMzd2ckFViCE2KBOnTokSer1rDcfCAQCgUAgEAgUoKsF/9rBjNXbnz9M+nfy/Bfnrjr37cR6MEky2G5Wrha8ddjSsU3xXfq5ZWPJUYa95G6eHoLQAMZByi7cAgB4j+nnPrgrYwBRWFqQk2NzMpCqAkXR6JPbGbu0z9JFItup8QRBaDQagUBAK3QGg8GK+wGO4ziOi8XidylLSCKRxEX1Z+v1iAit7gnweLyIP1dxiWxwipNqWZOwKcWl52/xK1HOzi7xms0GhIbWFJRKpUKh4HLdkiSJSiskAnvM+NS01pkoMvhVcJlSm5JpbTQ5gweIODoS6DnVCNVlVPZ2ivF4nc/t8Fs8yUoMz835g/M7Xrt7ksFguFinO7BVPfXuKAa1V3X3sfWjKK2+ONHSW8VxKJ0+o+8ofqmCoih+ixhhPXON1f/H5UqlkiAIQUFR5sBPUWccIEjkiY2D9Yktxg4RicUSmUwslT5PenLQvdlRp9h9gvp7nGP+FNa/HNFNbelHTwGji4jqdmLWugNa79rirh3Nopymjn3+v/UAAJ6HqyQqYje/XvrPf+qeZxduO6hNzRSGB5rFP+ozxfRLoVKphMF+ub8djms8UODtznN3oT8po4FJvkkdQvNh+39Zuuc0hmFeQ7rHxQxSc1kj5/aVz91aIftbr9Nhbs6Yu7M4tl7wnpWMh0iqTv6GvMO0bdu2sLDw8WMbdxIIBAKBQCCQ/zJQgK4WEASRNqln3oqhTzuNLdh6KO3zFaUHzwX/sYzhSB7mPefTkAPf19qxxGPiICAsl2DUCY78Ucux4Jg67pHNmGymTDpKp1eWlVm2v3drv5Whcjfvf7FkE4ozz+3RSpgEXaN4Bvjh3dozdr2Yv5ajkKdQKGiFTqfTMeZNIwhCGx0oFApj3ap3A11KJmBRMPm1fMXSmij616BXZ56Xm/UYSdP6YdGNamAy9iJuFM7YTmSa2+hzR6VSOex9bIlGo6HTn7kkVqvV6vpX9vB8PIFfgE4DdBqguFVBDSzYuE/U4JURrak2XQ4PE4T4G9/xg3zM+hG++S9us9TUqgVBkBbTxvl8PYaxV/Z+814v/kUrka5eJVAUdW3GSkpj27ZFcSVeXdHaO/NZCmPhPlRcYTMHqVTjs7h63XCBKCpJH/ipWCTiI6g26RkAAMXLxVz3z0YIAv1wsZj493r60EmUVuc/Z9Qg3cPorp2MQr9apTrYsHtc7CBKVe7CT8qVFLeVCQCAJjElZ+d5fG55GjIilQiGDU2fuxkgaPCfKzUJj32G93b7uFvxrpP53/4GACAKS5UXbovqhpiNc6deH+W+f8QEkIrEOI6rVKrYh4ei7+41yFWGwhKenyfbBLRP0p0+aMHYRaq1Gcu23InsVXz4Qkzc3qAt7HnKKBJ+9TcAANtN2AyiqLSspDwROyXh4bW6vYiiUqKwVH0nMW3wTAAAIjRf94pYPY3LyJD/ONOmTfPw8Pjf//6XkZFhbxECCAQCgUAgkP8IUICuLupuMvfZCPihwobTtGGzPacMQZ1eZg8hiPfsMYAgc5duSe331fNP5hZs2Au05bv5dM8yJM0a2DsHUs7JulT3wvHELmVRiWWjSCSq988m6weGrpvF2K68nejwZCCO0WwLc/5sydGzItRuXckyEVIoFEqlUkub3bcdBEEkKC+xF8PmABq/iR/V2GR6pp2zYuYgianb5eLOGpuMXfh+PZqxPWn4bIeToCmK4p6Qyz2So7U0SZL1Tm/TvUxttlw+5Pt6IC9Lq6ESkaRFI2P+JubqJGvTWBQZbLRV0aebZzEb8ovNWvSZuYwzwWRVttWg1fwvWj4+jreLQZ2kAAGYu7NztzYd0s9+cNTGrb5m0Gm0+Rv3cgwuTq/gwlGaYJEvDAAAIHK3+Y0x838/WGYNV5Lktr1TOvYDJOn57fyAzd8CAKTtW7p+MuBZ297J7fvmLVkDAEDEopD+PUyXA1Nuxx/CozUPmavIcufFl6slX01GfbzKlMK8NTtdBryPSYXPP56JiIUYn+f2yYeopIIK7zLwA/MhSDJz5bb45kPiGvS9E9lLQAIEQSiK0iAk3rGpIbfQ86thbEUsBKHmKdVmyK/fo0jKJSqS8UpGeFj4pgXJH3xmxwcGQFFSAgB4evlGfAuG0oL+35vLzcGRMAMaYhs/P7+LFy+mpqbGxsYuXLgwNTVVp9MR7ECRGgKBQCAQyH8QKEBXF+ENzDOgX8w0r7+Xv3YXKhB4Th7sNuxDcWzd3GVbjeYbmKuTWbBT19ZmLR7jB1TNXO0p2GUGRZAqhaIwN68wN6+0oFCr1dIaTUTLZq6DrZU7ezp6HmO7LpXBoBNSrYhEIqf+zD+slOHT7M0kpZOdcRyXyWQikUgkEhkMBjP12a4acW8sEqEoPnYQg2EODYo0GPdxjU0GQZBu8YeDlky26ACh62d1ubz7jfXdrt2OOQvSkFfExU+cEZFIRFEUXRKKvhqtBNv8nzFWKbQpVfN4PJlMptFojC3C8CBdWpZZmPzMdbxVFCoRBaydHv7vtsAfv65zY0f4le3u4/vzvVwVF+/IT10J2sZaKkCfwTU33HtKVfoy+wYFdD79a5/cq/1UCb0z/33vwE9unh5VOH5luLVoHffg3LsPTd/mH73AGJbYh8EYuuReJkfLdfvg8fKnLUz/eAIAwHPO1LSBn9I3FkQqEbVu2iLurH9IsDE289GTG80GVzi84pUZ8v0Mt09ZXZ5D1sw0fZs950fRyGHi+rW9vhpWuv8fet1aGORLkqThQYoht0IJSsWF29Y/R0KTj27X6Zk884dn3Serbj0U1Q917tbGYzLzUlzB1oOYsw1r9Tt1e+VtPoBIGG4FiEiovP+EVNq3pYYCQKVQ3u86gbG37MhF07eYuzObTz0EYoaHh0e/fv3y8/MXLlxYu3ZtoVDIY8e69RMEAoFAIBDIO0mVbVKGmIEgCN/fS/+iXCngebsbcgstwwwFxZiLU/5Pe33nj1ebJP8SxebWFvJ/rpu1FPzyV5VMlWL/O9h3wuDsjaxGjQCAB19/W3b8klkj3jYmcv0cVOBI9iJRVEpR1Bsrlr2rNF2/+Oz+05btmqdpIpHIruRluVxOv8BxXKPR0NlwZjHvQO6PVCp9NvobKwE+U4YJHNVPHQNF0Sb/G9vo8xG5Dx7nXb4NMMy3Q3OvOqFVaEZRHdyZtoKty+H7gFqtxjCMoiilUgkAEIvFYrGYx+OpVCrLx36DLddg00gMwwiCoP81tstkMoPBgKKoVquVy+UoipZll9/58fax2qfpAIDAr8dkrNhqPER+/lad27tMB0eFAp6bs/bJc/ptBvvVpXn4jOOEgz/qwTHybSdvjR0J/mRF2xPuthUAAENhaav4c0/X/lK27U/uR3EY99Uc0joP5gUHAh7mv25p1MC+xvb0ZylFN+/ln7lS8NsR00NRsTA6bp/y4TNJ/bC0uetClk4BABBaXQXl+CVB8yegFjeE3MW/kGVK5b93jC21v5+hUqmc2sWaRSovxWEeLkQBw84nU0qPXAAoirk7C0MDc5ZsDt84L/+HP2IfHrzTsH+FBW+9wX1c/7zVFaoZS1s2Ut58aGqpkbVmB+NZSIUqa+1O108+LN5x3Pp8TBEJRZf7TmKz7FBciTd9G7GL2RgaAjFDrVY3bdo0MRHu4YNAIBAIBAJh5Y0WJt52wnevTGw3in7t1L1N0a+HGcMMRaWAorIX/CysGyII8pGfvsYYpryawPPxMOQUVPk8Q3evxAjqycczLLvy95y0cqDf4onZ32ywbFdcirvdmLUsG+QNRCAQuAzvW/L7QcuuxGZ969086ICBhlKpFIvFjI7ParVaKpUqlQwF1t4aCEJ+PYGtExHwmy2qSrtY7ggEgsCYhoExDV/L2e0lLzOr+E+GlQ+ayuSIGY81XoQIgojFYpVKBQDg8XjGlRXu+fg8Ho92BaEvYKM+blx0oaEoKn1sef4yXYcNAOA9qo+pAO27cmra0NnBO5eZHpW3YpvpONKm9fi1/Er++se0ERELDXmM0iIDXn6+HCPfauRMpQisQFUUoKWRIeaeJuw03L/G2c2tycJZhnnTFYVFz/+5oLkVr72fZHiWWpm9RAAAxN3V+X+fqRPTSs/coAo1iGvQs+lrSEzQoGfn+0fPPBv7DVEsZzywwdmtAEGoYF8AQPGxi8IG4X4fd3ft2R7zdsucs16fnQ8AkNJEwhkAACAASURBVMTWU91JbHhzl+ZRavIU8yUfsqzirRhBBMF+BpWq9J/rAEEQkYBSa42dfosmZkxkqmBhPihJ5BeXHjwHAFDevN/4xq67zYcy/BdZeKDr07KbJB66U683ZWmPzoT/kB6aO4/UiSkVPoFQQGmZDcFzbiVYKbxMKlQugzqX7P2bftuwU1suc4BAFi1aRKvPzZs3/+ijj9zd3a2X0HjtVVshEAgEAoFAah4oQFcjUW1aludCoIjq1kO2MMXF8rQj7aNU7aNUtxG95Geu67MYNlkbisowd2eisLQKJ+k+qndUz84UReX2PF569KJZr6GI9cG+1m+L00cy22hUBkFYIEx/rnkQBIleMv08kwCNujhpUzKAl6u9Y1r34TUYDGzy9FtByT83rPTWu7CNY/3G/zg3Oo5k6xIG+2m1WrZe7hjvJxRFqVQqoVAoEAgoijIYDHR6vkAg0OmsFa+jR6AvZqPWbCVvmqIo5/ZNNU/TAQDES3+A+NbD6bHcPmynUyizv15rZt6SM7vcRCJ4w5y0iUsBAKrbieB2ovuYPqUnrxiyyp36RXWCNdxq0obu+45L2DtAdupzxnZZ84byG/ct23Fvd9O3fh9/mLlsC5cT8TxdazUqN9fi8Xgu3l4uQweBoYPoFoqiDHr940tXC+d/SzzPsOMDAIBIJYoytGT8crP2pAFfMRtUm3Cv7QgEQRpe2/F4yExKq89ds8N7UBe1Ws1vGFb37194CEJo9bmb9tXduVJbKpc1a0iWMAvZRmIeHFKolAAAj77vZa3fqc+qUCWicMsBuz4aAOAJ+58KhFpj1qLLzr9dtxcgue6SedCNwUyD0uoAAoDlGDzs6Sgbf7cIAl+W9MTQN3z7COTN4dSpUxiGrVixYto0WLUSAoFAIBAIhBm4Al+NIAiC4hKAoi4D3tc8YN00rXmYjDrLjG+Lfjuiz8rzXTqZb3wKMqLTEYWlQVvmI+JKbe0X1PLFW0a5f9KjTfKp9hsW0VON3cheaN4UDA3avghBQHWozwCA8FXwb/fXg1gqdR7S07KdKCh+NmCSVODIJadUKqVS5jJoWq1Wo9HQaaRv3ZKDWCxO/d9qtl6ep2tE40Y1OZ+3FJIk2arnAQDCN86rEpdMs6uLdslQKBQajUYikdDlMWmfaJFIxDgC7RiDYRjHfQAoisrjylcc0Zf3akNBcWzSEdf3W7i819yQX0yrzyWHzpefwmCQ/3MDlYhik446t2tiWrStaNshIjs/YN0MnocLAEDWJprLHHg+7g27v8cl8h1AcesBYzvPk3nZLKhtc9O3viG1OJ6o2aUdVm5WCILwBYIG73Vof/lYp4yEThkJHdPjI84fcP50KD+iNoIz3wkRmZQXHqJx8jXkFAIAMHcXDJcI/Dw5TgkAAAgicv8PPFwasXNF44eHoq7tpNP8AQAajUahVmsowmVcf71eL3SWURSFuZlXmDBFGl1Xoytf+KEoSm+Rbq++myRuXMeO6VkFYbRjsqI+Y5i0ZaNaO5YE/jIvcMt8r+kjBbX8vGaMDNo0DwCAuTm/imQaw3VQF1JlLnkDACQNw42v5edv0S/CDvzA6TNAIAAkJSX5+PiMGzfudU8EAoFAIBAI5M0FJndUL7W3LpQ/fJq7aJP1MNcB7xdurZB8mj3nRwAAwDCvacPzVv5q2pX+6UJhRC1UIlLHc8qDs6Trg2OmeT0URT3cfyJ1+neekweXHr+kSzUvmWWK7/zPMkZZs76tFAhS+/021TU4xBaNFk+/tOsoY1dii/51bx8y6hrcsaLX0Ba9fD6frslj5mPwZiIWiymK0j5Os7LdvsvTv2tySlVISUFh0rZ9pWeuEyVyWduY0NH9fepFVN9O4RfJqWxdjW/9qeMhbD6tdmHlCjQ6RCsUCgRBGKuN0VbmAACSJFEU5erXoSvPjyZMsk3vRPYCAAiaN6j/1/d36vcBJJW3artT11al+8/mr/kDAMDz9TQYDBqNJnD+hPS5603HezFlFQAgZN9qYe0AWY+2GeMW6TNYtXtEwO8Yf+itW9dxmLzfme9axcf+ZWwXScSmbzEME8fUVcc9sn6WmLi9PrUC7ZoYgiABYaEB82cAAEiSvDFikvrCVbpL2L4lqB1RsOUAmSYHaa++CERhCQCAUNhxp415dESv11tZHaEoiqIojUZDEETZ4QsE+8YmAADCw/h8Pp3gT5IkMDB8BzUJj71nj8ldttWyy1507EtQlnh9Pbrgpz+V1+4pr90zbc9btZ0f4A0AIIqs7g9DAI9FfCdVr/biqOOSBMF+urSsqM4duM8N8h8HwzCBQCCTyWyHQiAQCAQCgfxXgRnQ1UuDD99jU58R0SuxwzTfrQIEIQpleOLVPnmuefDMc8oQB6bkM3O02a7Sc/0mPh0+25BbWPDTHn1alt+yz9mOlXVumTOfwfS5yqCoJ0feVvHuHUDm4uy7cCpbb8GWPfZqkQiC6PV66zF6vV6tVsvlchzHxWKx9eDXDoIg2sSUpP6s/s6Nzm9j1DHfcAiCOD982rnATlnzNyov39U8eJa/ce/1poOPBrTPYfE3qDx5J5j1QWl0pEGAVSb9GcdxqVQqlUolEolNyZhOcGYTlxEEocU465YypgiFQk3qC/q17nm2aZdz7455K7bJbz2kczz5vh7P2o6i1WeBr4dzt9YEQVAU5dH/A8aR+UE+FEXxPFxDDvwQdn6LgOm3AwDAqVubK70mnO4w9NIXC/Ozc7jM+a2GUtrh5OM9ZYjlz7HtCRuLxOG/Lw2uW6m0XxRFW+7YyK8TKhnQg2rWOu/Atbxvf7PphmGTiD9Xq9VqLmY1PB5PIBBkzP/JeljY9iVGZyQEQSrkFJuQt3yr96zR9s7WDI+Jg8qOmRcxZkPaKipvxTZS/kqa53m7GV/rM3PFsXWtj9D45u78H5lLR2qSM03fOn3YNmDtjBquIgt5qwkPDydJkntJWwgEAoFAIJD/IFCArl7EEokwgnl7r1PLxoiAT78u2vWq1h+GS8I2zuP7etBvURec8XDKQOSv3RWwbiZDHw/j+TJv4PWeMarl/C9MWx4cO1N2+qppS/ac9cKIII+JgywPJ0urPUf18bBZJQWF1X0WCBtRE0fw/LwYu/J/3i2RSOwajaIo7mmYCoVCrVbjOC4QCIRv6pM/hmGPB7O6xHh82i+0eWxNzqdK0Ol0x8M+KN53xrKLKC67Wq9X0qnz1XHenC37Gdvr7Fppc93COmq1WqlUKpVKlUplM21fo9HIZDKhUEhZuAGgKGrUwWm3aC5nNxgMxtJqqlsPAPryK4ChyqvxlIF4Mnw23eDx2UDjUQ3P/xowbhDtRs0oheOdWyImxuIoLgn+c2Xo2U3CuiFmkaWHz6tuPlDdfFCw5cDl0C7nBn3OvdDi24jEHkeImG8YVlhxZ6cOaWcA081KGBr4fub5hgN7OD4/E0SD+mf/cqzs5JUqGU1Yy09aP4zLUg2fz9c8Tb/ffqT1MJ+x/el8fxoEQVB2v6+8FdtEkcHes8Zwnm8FUKm4ePcpztGI5pH5hglhsB8AAKAoQAAAQFyvtpUB3D75MKReJMezCQJ9pB5u/509BJDK06ZNm6KioidPnrzuiUAgEAgEAoG8uUABunpBEKTumq8Zu0rP36R05SILWaaQvnT2JJRq5/axURd+bXByI8BQSmOtOlbmFyudOrc0f2w2EIbsfMb4oL7vmz1TPRsxxzJM9zS9cONet2HdJbH1hBG1BCH+/ABvv2VfqG4yW21WLRciur3bcsmbDIqiTc7uqsIB7X2GVygUer1ep9O9jVtZI6aOfN1TcIR/2nxM+8+ykdh3amE1JNKaZQfToFJxJWsP2mGU8RK5XK5SqSyT13g8nlGPoyhKrVazeZqbTYB6OQGiWO751Sf0a88pQwz5xa/iEJC/vvy7Vu/YTxRFKbWvzgV45kUsfRdPsjwX5oTX+n1p2IWtiIhVKCw99u+pJv0s5fV3Bq+xAzhG+kwdKmZZRXPz9upVeitwzXSAlf9dJKwb0uj8tu73jzq5uzEe4gCZU1fZfQwC+EE+ja7txJubO8vXP/mzUsMp+1soFDo3CI+69DujyG7E76sRxu8OgiC5Ww/oXzDUQzaifZyWt2Ir39/LY3x/LtMwJWDNdKLYmhmIKc492lkGK288EAb5RsXtoe2ei3YcF9Ty85o2wvJwUYPQdhsXc/8CFP95qn7frpzDIRAwc+ZMiUQyZcqU3Nzcd/hmC4FAIBAIBFIZoABd7YS/39ZrzqsUIb4306MsiroOeLnnmqLu1Otzu05PiqKi7+yhdAZUKgZ0dR2mDeBlf1/jubvQMTbJjaugIMtLyyg1q9ZTvPOEOi5R9/S5Pu2F4UVu9px1XE5hBZ6vB7+Wr80wSqN9eLpaMi4hXHDz8vRfz1yR0lBQzNhuBQcchGnHUrlczlYU7jVi5cGSH+TrXZtrNbM3h6Sj/2jus5ZINfJv3R5V+1CdmZxC6Rl2K/uOH1jJXcwYhlXVVFEUlUgkxkUUiqJIkrS5poKiqKnMpzx3k35RZmpJzOc5dWttyC6g3wmD/cw8fM3OIWoYjrB/lVCpmNJYU+21Salxv/9lfdpvLxFNORVmFEbUarV8hpUAHp/fdPywfoq7/dQJ/dQJH8YdCmsRW1VpsBRJPrh0jbGL7/9qx1IFPy4Mjbi1K/bR0UZ/bybEgtpbFvBcXi3LRd3Zq1QpOZ697GpC+a3Y6lfD7KunScmsfWSddc0aAGDIyivctB9vFyNtFWVzJoiA7z1zVOjJn9LHLrI9bwAAAILwoNIjFxm7xBG1knq/2tSle56V9+1vroO7mMZIWzfudnM/imHWP3uFYeuFit54PyjIG4W3t/fJkyefPHnSrFmzefPmJSYmyuVyNTtQpIZAIBAIBPIfBArQ1Q6fz0fK1D7zyktjB80xqZGNoXj7WL9VXwKSzJy6Stqikc+8cUZv6IfdJ95tPBDhY+GbFwC6uo4xNemldweNoaCY0THDkoJfD5u+VRaXOPahGJF1bxNydB0AQNSYeaOrIbtAz5TzaMmz/l9V4cQg9hI1pB9j+5PuY7hkgJpSGfnGzKz8TcDKQ2P04R9rciZVAkmSiR9bk+SMUFp9akJVboB4MJJh7wUAwGcc12xWNjDMPHfYgRFwHJdIJBqNRqFQSKVS2lQaAMAxCdqtZ3vja1VcUuCmeT7zx3t+McR36WSf+eN9l0xCDAb5Sx8GnpcbZetr4jl1mJVeiqlSnBnpE5a8qztLMAwTR9twV0Cd8G53D9XMfMygKOrR3xcOOcU+7fIZY4D+xasdS8ZVGb/VX0Ul7JfJZAaDQS6X6/V6jUbT6NpOulfWOpoS8DhqWGIKeTZmXnzLoU8nLrES5vflcNPNBxRF1Vr6BR4SUOcWpz0xyktxqmsJHhMGiqMYHFH4Ad7eX492HfYh0OvzVv2a0n0SY0Y/I4IghnVrWqlHnaSExcVfevIK76WJmWufjp3PbKd/DVlZwjEjetV0jpEQCM3cuXNjYmIyMjLS09OXLl1av359JycnCTuVKXIAgUAgEAgE8pbyxuk77yQx8yad9Grtt2pq1ow1yV+sMLbjHZsq/rmhuHiHfqu8fk95/R7qJPWcOjTv29/Lq8/zsMdDzI2ejd4dRvJW/4Z3aKK4cNvGVLAKD2AYn88WyAVhnWDt4zTMRUaUyAEA8hOX5ScuAwDwNo018UkcB/GcNjz/298t2zUazRuYAPvfwWlgt7J9J80aKYMhZdhXoX98r1ByyrxDUZT2tH3n4Qd4+9cJe92zsJv81OeA82Pw/R6Tamcylw20F2WZXHU7sUqGssSBpHsjIpGIx+NptVrTfGT6tdETxqaMq9FoUJO1E7cRPTPHL2YLljQIr/vX92ZfE4qiAIYCE2VNFBls5YykipMPQ25aum9ta+O8vXQ8u/2ERyvA8qPB28a0O7KxMheGw+h1ukvDp5ceuWDXUYLwIFGQr06n02g0piqzwWBoHLdXk5alKy7j8/mmfs1s4Dge32QwAIAoLis7d8NKpEunZoaKijZ95eM47rt8SvastVxmXvjzPgAAz00mqh8mqOWLOcuAgK99+Ex+5nreym0VIjczW8CbIgj285o+InPScvMP1bRB5B/L46L6Fx04y/N0NeslyxSYs1QYGRJzeL1vUMVCnQhiMw9aEOzn7e9nc24QCAQCgUAgEAjELqAAXRO4enqIoyOzZqwRhAU6dWlV8NMeul2TZF5UBwBAlinzVvzKD/Rx6tKqcMsBhHs2H4oABACrz1ZuAytsTXX1Zq5VyBHt4zTUGXcd0dO5Z4fiXSd4Xm55K7YBAApYCs0zwqg+AwCSjp9t3P/DykwPUhkaLJ521UKABgBoHiU/bNav/s2DCqXCstcMkiQFAoHDGvQbWAOKzR0CZXfgfZN5fsoOQZkoLK2q8+YmsKrPlV+xcPiyEQqFtORXyfElEknSnlffHe3T52yRovBakfu+U6vVZteVXq/nOTvp814Zc1dwZrCgjMWgwIwXF2+8qwK0SCzulHrmYmx/oqDith4ENDr5c2i7Fq/lZpKbnnG9ySBSYaMMphnSNtG1N8zFMEyn05nlOPP5fLlGwwvxk0XUMvNsYUOr1fp+NujFd7/ZjBSFBTGOSRBE7vItHCdffkixXHn5rvLyXSsx+owc9zF9C7ceZOwVN6knbVq/8Od9LyYvR8RCM68wnzF9AQCIUODSJibspzm36/S0GDw39uZuU/WZoqh/eozl4sJRd9MCmzEQiBn9+vULDQ3lHv9a1sMgEAgEAoFAXi9QgK4hGm1feiOqv+5ZRsGzPbL3mhFypermQ6Ogw/P1MJqB0ugzcgq3HAjaNE/7LIPjKRTnbvks+Cxnwc9WYrzaNUlJegIoSuYk8/T34/F4CJ/H6MTKEbJUUbB2V8HaXYiAj+ISv++m5S7ZFPTrotQ+Ux0ekyb1k9nFf52J+ekbZ7cqKwAF4Y6zh7vz0F6lO48w9BFEUschkRd2cVRAHEahUIhEIi5ZfjWGTqeTNAxX3X9q1q59lk4QROXNH2qYwl0n7IpXKpX2erAwknPmKmN7wMzRlRegHXuw5/F4CIJYkSlNi7NZH4osUxgXAmttX5Q52Tx/k8Zz6Ie+X48xGAxm6rNMJlOpVJgLbhSgxbH1rPvwqhOeWJ8STenf18CowVwi30ZcvDx6Pj//IiEx6+INfWauMCzQp3m0X8NI7DU5+ZSVlF6N7ME9Hm8fS2+HCt84jwRAp9NZLncplUoAgOU1YwW9Xu8xqo9zh6aK2w/TF25kC/ObMkylYhbKMQwjy7iaTduFLu2FZaNTz/ZAr5efvqq5U75MJY6KUF2/bxqDx9ajKEoU7B/205xnLL4i/pHhxtcURZ1s2l/zMNn2nHhY3ffacv8IEAhN8+bNmzdv/rpnAYFAIBAIBPJGA1fga4jaDetjzjj9Wn72purmw4D1XxtFCjP12blPR/pF+rjFdpV947/0PWQjrtnH8dED42MGXQrrdkAWc23xeszdhTHSd/kUjif1mDQYAEDp9GSZgufhXOvPlemjv2kQt9d7bH+zyIiXVpLBB77nMnLJ4fPnAjpeX7EBVmupeRAEafbdN2yyF1GmeBjTC3mUIq7OSk0URb1pki5FUeEs+XFKefXK8dWBLo3Zk73Wsi8Y20vzChjb7UWfW8jY7j2qT5WMbxcikUgqlRIEodfr2a43iUSi5GY7g+N4fPOh9OuQvatEDcLoO6QRQZCP16g+MY+OBM4dr9FoLNdXCJVaIpFonrzKmzb+RmBDdfO+9QAasriMS9jbC4qigdENmk8d0+bb2U0/+yQwusHrUp8JgjgX/J5dhygu3nEd3hPweRifr9FoGCVmx1y81Wq1OLyWU7smVmK8xw+seYtwSq31X/2lpFkD+q3H2H7imEj5sYvy0xUWqGSdmpkdmNB6OKAoZcJjAEDJWWZfEdTku3xh1ExO6jMA3uMHwNRUCAQCgUAgEAikOoB/Z9cQCILUu7QdACAILvcWzPx8BVvJ+NJD542v89fs9FvOLAZZon2SbsecDET2si2A5fmcwfARQQDTg5nRUYQyEOkj5mmTUr3njOWRlLT/ewCUu04jIgHCw7QvXV/T+tlRYzB70S/Hwj6wLDQEqW74fH7jq39ZCUgbP/dJp2FSgdCKTKzRaHAcd3gOKIqKRCKBQMDn8/mVsyyvKkr/ZXFafwuXSTAZczrz87nrGdurysdAGfeIsb1KJDB716t4PJ5SqaQoiiAInU6HoiiO42afVKVS8fl8BEFwHGdLFAUASCSSBy8LzeEdmghqBwAAXAZ8UH4id5eYR0cij29wm/yRQqFg20BQevH2ncgKlgLS1o2tzJ/S6UlVBRUblTIvCxmKy0iShOt5NcCZth9blmqwAiISBO//rvbscfWu/1EdQrBcLidc8XonX2ZAoygqeVVioc7u1Vau6oL9Z6yM7DzwA8emhLk6aR6lZM34QX3rAcLHeB4uhVsOaO4yVI8w5JivewkDvBEUjU08VHopjnFwRCgw6shJpy4U7zltcz7S6Mgmj4/Wnc1cKBICgUAgEAgEAoFUEihA1xzBwcH1rv+hS8sytijO3fSaNtzmgVmz1vks+AwAgEpE0taNnXq1l7RoyBhZepSTE6gp+owc988GWbaLG5sXsnce8H7Qb4t9Jw9BBNZyyl5MWZX1v++eTl2R9dW3AICQQ2tC9q5ueG4b4POeT2DeKmsTQ3b+Ud/WWvUbZMXwH8EvIszlI2u7yEm5MrFF/6wxs8UGUiAQWAZw3yrOiFwu12g0Op3OSnZqDVNy7iZje83nD1YecUwkcwfJrFHi7ub1vhxDl5LJ2F4luYe0iMwxWCKRqNUVKviRJKlQKIRCIY7jppe0QCAQiUQKhYLtBy0SiUpOXdE+L7/D+3/7cpkNQQRhQQAAvHEdhUKh0WisXCoIgmC4xKwRFTF8s4worsSbteDvt2CM1Nx/ehiPPiRtfHH87KKsHCtjQipD2u0Edfxj7vGS+mHRd/9yiQxVq9UARSt5z2SDIAhBkK/AzxMAEB3/V9SN8g1J4sgQQf3abMsSPB4vY/Evpi2orML1WbrPmjzNCoaKGoTR5YsBAMBAEIUlbLFFvx6WvsySptGmZ1MEWXbzQfLUlYyHGFf61SpVYl/W7VyIRAQACNu2qMnjo5G7VwEA/Pxg+UEIBAKBQCAQCKRagAJ0zSGTycTOMgAA6vQq6zDv29+9Zoy0eWzOgp/dR/ch1VrllfiyIxdV1+8Lavt7z/5U0qSeaRjbxnbrFGzca6lB08/P0jbRxpbSfWfSP5njPaav69CXtQFRFPCYNUHl5buapLSAjXOKd51MHTT9XutP3MeVO3Lwg3wdmCSlVJ8K6qDX25FTBqkSWv64BO9iwxNTk5Sc1GlYaq/xlsnOCIIQxLuTvY6iaNlF5gzo9KNna3gylcezr30uATKZrErOizoxJ8XTyiyGYSKRyOFsa51OJ5GYa7iWYBgmkUhUKhXj9anRaGgZ2tiiVCp5PB6jtI0giFQqfTJ4eupXq+kW9zF9TQPoXSy1f5xjc1YSicS5baz5+FZ9JEp2mxt5q67fs36Woh3HL4Z1ubHKWsEAiL1QFKVUKPJeZCV0G8/9qOD1syL2fgsAyN95jCRJg8Gg1WptHuUYKpUq4uTGmEdHlPef3G3Yj26se3CtlTMaDIboO3tNW0j5q1xpfoC3I/NAELxtjJIleZkRM9WbMhB36vWmtDq8aQPGeO3jNPpmcmPqUsYAnodLxLXfKZXGY1x/51aNi/++WnjkPGMkBMKFoqKiNHuAO1EgEAgEAoH8B4FFCGuU0NDQ+8F+otDAwJmjH3Yuf0bNW7Ud79BEk5hiyCtiOxAR8At/PWy6x1+X8iJ32RYAgKR5Q5feHbIX/oK5yAwOCdAAgIKNez0nf1Tw059m7ZZV7OOjB756Q5KAPenTa9rwzAkvn/0oqmDtLgAA5uakT2e2ncU8XYl8a4bXpFJ9echXHfcxmwNAqgkEQdruXH999vLiTXusRxryCh826xu8fr4gpr5R0ZBKpVVVq1Cj0UilUo5WvNUEgiCkhlmseb7450YjBzJ20RAEkZ7wMH3N77rcQlKtQWXSWtNHB7eMFZionDVMWNcOzzgH87yrrByo96zRlEINAAUAoABAAKAAAigKRVGpVKrX6+mfNb3gRFEUoxhNEATb2oZCocBx3PqFJxKJ7L2WLJOXeTyeSCRKX/TL05OXCBOHZfeRvUzDno+YG/rTXJunQxAk/49jWet2WnawHUKRlPquebItx18EWQs23gsLatSvO5dgiBV0Ot2dBWtz1vxhPUwQ4q9LrVB2z7ljM7xdrEqlEovFbh91qz7p2YhOp8MwrOTva/TbRld22Lw/q7Py2Lr0mbkOzEHWqZmcxbiZDcW5m5Im9VQvXbxoSu49LjvPvB8FAKBRqSmKLNpxzLILdcLDfvkmb+mWiN+WPP10QcGm/Q1O/5Iye22r6dB/A+IgK1euXLVqFfd4vV7Pe00O9RAIBAKBQCCvC/jXT43C4/M9xvbLmrfh4YVbmKuMKC7ff6q4cFscHWlFgKZ0estnVxrVjfuqG/cBD8Pbx5bs/dvhueX/+Ke4cR2isITjI6Xb2H6YQh0we5yhsOR+h1EMA67dRQtLNDwfD0NOQa3fl6b0+JxuEUcEAwxRP0ql31pXn2lKjv+bcuNO7ebmGYKQagVBkJbLZ9/29cpbaEv9NxBpE76ptXYeiK5rbBMIBDqdrkpmolKpZDKZXC63HVo9EAThPaZf7tYDll2G7AKdVsumJj86f+Vxny8ofYXN9Q/P33qIIIGrv2oy0bYVT3UgkeHSllHKawlcgiP3fldV5y3YsFf7OM2y3b1ne+MuB6VSaT0JWiwWW7GzIAiCzsen9WuKokz1X5vyNCNmOzBwHH82bhGjJzhiYpqhTc2kVBrnTs1snhFBDmOYJAAAIABJREFUkOLTV0kFqxuvGRRFpfaYxDGYkeRhs+oUvyd8fUsg7wC31v2aOXstm2vNKzDU8jd46E9zFEolAECv11eT84YlarXaf+Zo9/7vi0ICVFqNTfP6vM0VKwEIBUBr5/0cQYxnkX3YVn78kn2HAwAAEIQGmgrQsY+OZH673Up8clyCguXO5jV1iLReqNfCCSiKNryw7V6H0Q97fd4l7R8HZgWBQCAQCAQCgUA4AgXomqbFl58emPOjc/smPG+3oNlj7zYuT5lU303iB3rrM16KvxgKiArCise4flmz2OU/A1Gy9++AtTMypzCkYCB8npnyxQhtuxH0y7yMzxbbDC7afAAAkL/7pMfgrnQLz9vdNPOOqviMasgpQCWilB6fe3z+ccH63QAASaOIokPnbJ7IjISOo/2LbghFItuhkCqlyRefxolFOV+vthn5fMri8MO/UF5uer0eQRA+n09vLa/8HCiKUigUYrHYzLe3xsBx/MnWA8793y/dz6BWqOQKRgH67sETaUNnMY9IURnTvstatqVnxsWqKvFnF833/nAusJPNMBSXhDeNthnGFZKTK4v1TcoqlYrH4/H5fAzDUBSlVWa6i77YtFqtXq+nZWgEQYRCobGOJcfcZytmzTiO34nsxdjl1LW1MWeZIoj0EfO4nAsAwOPxVPe4egeTCvWzjmM4BlshbsHalstnVH6c/yAkSZ4fMLns1BVO0QTTtfTyOqkx9ZlGqVQCX3elxvZdVCqVPtn3t6mCDDj8LWEOfSyCuH3So+j3ozaCTc9lgnOvDiUmtQSTBk9T3ntiZZjiv84UbGZYKQQAuDaKpHV/kUh0v+vEkKVf5B34x83HITsRCAQAAMDHH3/cuDFztViCIBITE69cuXL37l0+n79w4UJ3d/cqKXgAgUAgEAgE8nYBBeiaRiQWByyenDnvR6e2MSnzKgjKPgsnZIxeUP7G4mE1b80utgczI5lTViE8jDKYiztc1Gcj6eMX+y3/Inf5VlLOSaMp2HOKfmFz3zep0gAACtbvDvh5buZnS0rO3Yh5cPBO3V6WH8r5veaiIN+yawnqpFTLcRJ+3tlsahUoLxB7iRk7LLVZVFL3MRSLDQWNy/DeBQdOShpEuL7f1mAwqNVqxxJOGaEo6jVWIyw5fQUAwKg+AwAIpsTA9KQnrOqz8cCi0lPN+ne9ub/mNWgXD/ewrQufjZlvLQhB3k/+uwrnJgjw0T7NsGwX8vl2+bwbDAajcoeiqEQioSiKIAitVktRFI7jIpGIzpdHEIQuIVgl85dKpXfq92Hrde7dgX5BlMqT3x8PAAACPpdh+Shm+15NUZTeYMgrTu07ldtkbVD41xkABWj7IUnyqF8bssxBRyCEh0Xd3K3RvOmVdVEUNf/Dw7FqqyjiMWGwpc2XJW5j+xVt2m/Z/mJiBTdn6+ozAIBg/yqlzvi+zs4VioTH8VNWklpd6ozvP3hxwebEIBArNG7cmE2ApqFl6Pbt2+/cufPSpUtQgIZAIBAIBPIfBP4B9BpoPm0swNCyS3HKmw88PntlGpsxdlGFOB7W5PGrXCFDbqGsc0ubg/sunFj5GWbNWgf4fLcxrApLJcn8bAkAgCgqvRPZ0/hki4iE0rYx9OvSszdyfz3k2qU1ImQQbl7MXmclMxFSrYRENeycfs1lRF+2AM8pwwLjjwfcPea243tQVECnKr8zPy9NWpaVXlQosGy822Ekp5EfJidssa3OVAeNhvQJXPYFWy8i4LdOOoY7VU35QRpJ4zqM7clTVxqTlO0FwzC1Wq1UKjUaDZ0KrVAojG4tbEbSVuDz+YzWMSKRqPDAP8wJrXRAvdoAANWN++XqMwBAx0lVzzXzOniJIa+o5OC5FzPXPG4y5HHToU9ajVAnJnMZkAuOla6FXBg8xWH1GQAQdWO3ijDUcOKzA1RNqTQe5jamLxf1GQBQ9OthxnZCVSFf22tEL78vP2EbBHORyc9cZ51OsF9Cy2FpM38gtToAgO/iSZ5+jtRGhkC4g2FYw4YNjxw5cu/evZUrV8IihBAIBAKBQP6DQAH6NSAUiWLvH0AwTBgWRJbIEf7LPHQzRcNA3K7Ts8KBoQGmb03laSNZc9a7ftSV+2RQXMLYThSWFG455PZpf0wm5T6aAwjCg+gXlEarvBRn2pW19g9KyyzcyItsG0ZDqgkMw1p9v6DZ/VO8APM9y5i3h9cNk8vyh6V0mR21Wi2RMF9pbxeeQ6xVbLOsKZSTnsldpUqdskL9mkosNv1yTOsnJyzLDHp82q9r1kXvoADGoxzGq11TxvaSv6/xgYN51giCWF/nUKvVAgHDCgEbQqHQMh0bx/Gs5Vufz2F1QxKGByEiYf73v2dOXs79XOUjW5YfBMBtTL/k7pNzl25RnH1Vb019N8muwa1hsWMGYpNb328pPf6vw4fXPbxOTb0d/+2qZ+l0JQfMGXdsBFHDMGFoYNFLNwzjorLXcGYHG1aLDwPht3KK8Z04PEidmMIYiErFgtoBhhestRM9Ordq8vgorT6jTtKo8UNsfgoIpEpo0qRJcHDwiRMnoAANgUAgEAjkPwgUoF8PoeHhAEOVV+KLD5xFTHZn1z661spRBRv2AhPzgbuxgxnDVLcfcp8JXfCKTtmzpHDzfiCuxvpUmItM9zTd+Nbzy2HiZg24HHh9cNVsP4c4jIef7wfxpxud34W6OhkbQz9pi6peSahIeppIJAIAUBSl0WikUrsXM8RiMY7jOI5LpVKpVCoSiRAEeY1pg9bWY3gY7uxk1payfodd499b/7sDs6oSvAP9e6ae65xzKer0prDtS1rc2tOj5Fa79fPF9v/UbOLVLIqt637HMY4lQZt6QDNCUZRdArRlxjSO43ejB+XvPG7W7rdyasiB7yNu7Khze1fw7hWAoop3nzKLKfzLRoVYfU4BQysPKzvNYDFc8tcZUEWOKKb1EiE2USmUJ6J7Z861VY6VnboH14JA77dGfvLziH10FOHzEImDdRcM+cXGiqOYpyul1SNCAQDAdwLzHzAAAMBislS07ZDxtUf/D8quxTME8XmS5g3+z959xzdRvgEAf9+7JJfcJd0tXXSXtqyWLWXvvRQZiqIouBAEQYYTcSEoS1RcIPBDQZaA7CFDNmW1UFbLKm1pS2mz193vj0AIzWU23c/3wx/Jve9795Re0uS5955XnXbJTki3Zi89lTCA0+gQQn4Du/gFBjj6IQDwDIqiKIq6ePFirbktDAAAAADAeZCArhoCgaDp3l8QQpxOzyrV5lRC9rDHtTjDFr4naZEUvfFby4FhXz9OvBoVKt6da6/djvjZbkVXK5qLWQihx3OxLQiDK/C7mfGBHKHHCzEVzF+lPpHuzEDV0fNbY7tXXGDAGRjj8KaNel09mLT/fwihmO+nUbusZuWfengfNMuyLuVcGIYRCoVqtVqhUCgUCqVSqVQqtVqtVCqtqgS0QCC48/lPtloDXx5snbKUn7jg0iFyv/6tCjNTGGOpt1dsxzZNhw8IbZwo4qso4hHefr6i6DDeJsP9EopvIUeHnKmwYTAYnN+55fRn01WQtMZPs+oni/aSZIPjK2XdWosigvGjrBkWkFhc9ije3drYOZZYLL7QZYz19tA57zxemdYShwiZa7cUxO5eyrtdGFR22juwRV5SujOkgzmd6qr43z5tfmmzMTzQaKwZ058RQizLyuXyxL8XCXy93dvD40UpMDYWFKNHCxSfa/u8dWeCkXj174hs/P9or9w0P9Zk5RhLlWUvw2Ds+0w3xb6T9kNilY+reXT+xbU7FQAoD47jOI4rLS2t6kAAAAAAAKoAJKCrTKP2TxGM5OGTRyknTq31eeZhXjVn4teazBtFv2y0HJXz7jeiGMe3wyv3nWi822amzBZOb5D1SkUICcOCzBuppGhX9+MytzJu+tyC3X1fqTHzyGovjHF008ZtLu5mfvyGp/XIAfNiOy6tuoMxti6AwHGcUqk0zaqufEKh8N6qrfxtGKd8yjMr3zLT4QxOo9OqXBtSQ8V8Ot5W061ZP7ix4KEzZ5dGozEajVKpU8UELNe65DjudOJArsyVD4wbHF6GeWdrWs1us5+/ExB8O8E4Z8p8m0MCfBBCVP3gFpk8tZisXe/xGu/2gOf7OTMcqJXKPSEdbOVGeWGRMH7ZZ80u/t3s4t+Nzv6Fm8R5ahnMSsYG+Sat+9Z0pmHnVtQ0w+SjFybH8S7q8MSBlOrILyYiwubLn/R7+DrSme4YsPgAIAgNDJ71evGfO52PLWrx9Iq7zAaAtby8vIKCgnr1ypYvAwAAAACoCyABXZXanXuUXLbItgj8vMwbOY2WtipJQTox8U1+/HyD9m3aXd0mCPR1KST5ziMIIb1F8US6aQOX9lCZFP+eurhxu+mxaV5J1cZTl/nXC+L4MnE4M91cGdmlrKKtac4sy7qRnfQIkjdLiBBCKOnvRdb1NxBC/NlJhAShgaLIUN4mdancvfBqloZD+5IBPrxNhRv3uTEJ2snLGwaDgeM4iURivxtBEJbTVHlPudht3/HeNYIsZ30ihBCK+PgNO5lHgUCQOexd6+1MuxTrRLaZ74g+CKHGu3/W3btvq48zEt+yuZIbMNPrdDsCU+10iFw7FyFEyOgGJ1eLIkK8uz/V/NLmpmlriSaxprs3rC+n1SAcxxEEUbjnKEKIc25FTTNMPn6N2FrU4TEBKRQKU9L+Mj2j2zZtemGDwOKNImDsw/Vvb3/5i3kjFR8R8ukb7P0HeR/94EpkOHX8yy70B6AcjEZjWlraxIkTc3JymjRp4tL1eAAAAACA2gE+AFWl+rHR3n3aIYTEcfXNtWWLVm5FpqQGxyEjm/dx2S9U6nNXgj/in8tmpsvKYVm2XnjYgJv7wz+zOdPQGYLwIMedPEoQ5Jd84k8nO18ZNePkT6u3xPfcSKdspFO2pQy6tHGnVqNxPBJ4mnbUWJ6tKqW5pK9CoXB+8rKdColqtdp6ub+KRlHUtTdn22qN7dSWf1QUf5bZcLdAd/Mub5O2biSgEUKt/+NZcw8hxGm0bvx+nb8soVQqHe6fpmmNxduIWq2WpaZYdhAE+tq7vPfk2Rswoo+dY1EUpcq4Zr1d2rW19UYmOSHw+b4IIVMNk9OJAy50HG1n5/YJw4K8/Vy7SFk37e08yk5r0OhBOO9+0JvDU078SVFU0rbvQ7+epFAo1Gp1rbksqr2TT7VpjF2cL0y3aaK/a3MxQB4GI8dxesTVGzcUIaTLyind8V/y4ZXm28W4R2k7zbVbCCFh/XpBU17UXbuV9/EPEb/Ocim2Fif+cKk/AHYsXbq0kw0dO3ZMSkqiKKpVq1br1q1DCI0ePbqqrqMDAAAAAFQhSEBXsS5/LUYIaa7eYh+t/M5pdAEvDzJ3aHl5iyis7M16ebOXBrw1zP6eTdMrMMat3x3bM/dgyMxX7fePXfI+73Zc6V+fDffun2s9wvn+yrOX9HcelknVXL5x6bn3/vFts7PrC1sb9dvWYsjeZ966cT4D1nupBF5tO/BuJ65fNj0w5WJIG5OCy7CzEp1LlXw9hdDqS//lLy1KMBJb0daf6PL0UluTpmufkIhwWyvp5f64tkK/nztMC5ap0ms0GoNfGWK5xfm1+xLWzLMz/RljnP/zOt6mvFk8VZsT18wNmzkWEcSdd+Y6GYAdnU7+Vf6d1Hpnl61Vn71sp0PBH9tkLRoGjH1GoVBotVq1Wl2Dqjw7SRQWdLX9S7ZKt5uQfmXvArG+hcsh9aUsvV4fOmEUQsiQX3Tnq18QQl592j1sfvRJCYtFIZ+8brhbUPDNw4Vbb4//yvmj0K0bN2iR4rgfAM7Jyso6aMOhQ4cyMzONRiPLst7e3osXLx4xYgQkoAEAAABQB0ECuorRDBO5YBpCiNNozRsJb5n58anEgQ1+s5rXw6HCpeuZdja/PlENIi2fSn2823749hDV2f7Fx1Mz/uYdkj1lHu92V++3rQjC+sFhC97DEnHg1JesW82Txy0pj57XZd3RXMwq2XY4rc1zf/s/dXHvIXlJyb5hE7ZEd90c0XlrYp8LG7bpdLoKj77O8IuyUS585c/mu001Go2Tk6Dtpwgr//ZV+dFztpq8+/Jn3hFCka1cznFI6wW6OqTmCpnBs/IeQujuglU07doiey5NNVWpVHaqcEilUrW6bCVuUegT94KIE6KcOVD4tDEo1l7OTiKR3F202nq79zPdePufbfPczSnfIJZlbSxC67yIpR/JfPiroACzovx72W99bquV9PWKWf5Zs3PrtSKyqhZHrTSxu34Mmf2W5RbBk2sUG+8/sbQa6S0t+sHlKxx3F6wSCoUG1ijr2AIhZCgqyZo6L/aziQ8PUVSCJVT9nz5ELJs360fzrQaSFg2NxaUIIVvXtMrouv0XyAACDwoMDGxgW0JCQkpKyvz58+/cuTN+/HiovwEAAACAugk+A1W91AkvC+r5W27BQospkByX3ut1nmEGo/LIOdJHxtOEUMNVPFOBMMYisTg4Jip6Jc/XaVattXwqeVT6+dbYT8WJUabHgZMqr1pozK4fzY/1t/Ny3vma02oL5i637ln4/Rrk6NM8p9Fm9h+/O7jjgy0H9HlFhoJi3c27V5+fsdW71cEJs/TVIMleC9iaZo5vZltWPLDsRhAEb54RY2w/n1j5N7Z7d2xhqyl8ss0aCEKhkGnj2hxACeNa4rVGSxxv8y3lwfbDTmaIMMYOT5gyWJZVq9USicR6QUKGYXgnLJepplLmIp8tQS8Nth+Y/MAp3nXtfGxU7TCWKIq3HzY99ntyUrZL/F4c0OKFZ9weXkdwHHes04u8TQ23LpG2apx8ZJWwcWwNXVrQJZrrt28+P6Ng0WqEEDYVxCBJQ14hQkjcJJ53SOCkF8qu2+mE0kOnDVk5BoMhfunHpi3FWw6cThxgenx/+d9Io73z2mzzVGgT72E9TQ+oqBCHhwj5YKwXVJ4BHjVp0qR0u86cOfPOO+84uQQuAAAAAECtBAnoqocx7py23nKLIb/I/Jjgm977EMdhoaDeG8MJL4s+ArLJgWXRTRraOWLKM/0oR9P31OevmB8bHy0cVDB/pf1RHpQ9cGLZqUysjTyOkWWeauL2gQp/3rDFu+WZVRtqTbHOqsLavuvcMgGtVqsZ5uEZS9O0Wq2maZqmaalUijGmaVogENipv2Gi1+ulUqlMJpPJZFKpVCRyrTKpqxiazp4231ZrdOMkO2PbbeEppGBLwNin69TcKF9fm2mgrMlznZwEbTq7lEqlq0dXq9UYY6lUyjCMWCymKEoikahU/DOLy/xejEUljgML8LF/jwVN09fH88+uVR4+43D/si6teLZi1Oi/FfYHBrwypNOPnzncP7i677DuVq71dqZZoiQuosGKLxQKRV34w4ExFseEN9zyHfdAjhDilKb7Ax7+4JoLVx92k9KPl+XEuOiXDe4d7vLT70gkEoPBQNgpOW1Zqgjj/Ef1arTZ/LX1zQgp3fGTSe4FBoAtJEkKbav8VSsAAAAAAKqhOpTpqM6CQkPC33+8gJs2K8f8mJXby6oYCopTPp0wOP9Ir8IjqZlbutzcM6T0dHzr5vYPhzHucXytMLxsaWlbdFk5YQun8TaZl+GiGsU6uTcncRotcvqLvffgzuU8XPbYWYcnfVYXUgkVh7T9FatM8s70/yyVSk3pG5VKpVKpFAqFVCpVqVQGg0Gn0xkMBnOe2ppWq1UoFHK5XC6Xm6YfVtwXPKlUeqbR4Ac7/+NtFcWE269qzUilCX8vcvJYKbPecTm+Gi501hu2mnQ3eXJ/ZZAkqdfr3XjlisVihmFM549SqdRoNFqtliAIJ3eluZRlq4l9VE9J4Otlv/q8JjOb97oalRAVNLy3wxh4i9422rykQbPkhptsnHIk2Xjrkg6LP3G4c8Bx3KXnp/M2NfjfHIPBUBcmPptgjFmOI8WUwPKmK2PZc5tTqLhHE5PFTeLNazO44eqUuddGzUhY87AymKS51UU+i+ud9T4cxyrL1syxJfX0X06uQwAAAAAAAADwIEhAVxftP51MeD28NU95/ILzA2+dTUcIMQwTHBnhGxTo5E3rIorqcW6T6Mmbyu3Imb5QGBJgvd1QUGx6oM247uSuPMLryaq7uTMXI0F5v1IWLF23rUn/2rd4VHmwLHsv507u+bN5Vy7fz8uz35mw/a2+zGmp0WikUql1pk+rfVwHRq/X6/V6Jxcb1Ol0HlyWUCQSSaVS06Rsh5Nwg9972eEOk7p3DP2Ir5DOkxqs+ELm4+1slLVF0zdH2WoSBvk5HO5eLommaZ1OZz1p2vmysLqcAltNbOnD3erzCu1cFxEIBNdtFBdusX5hWEyUwxiMpWUToC1P/NmgW3uEUELPTp1v7vV/ebC5iUqKjl3y/oDiE/Fd2zvcM0AI5WReZa3+hxFCdKNYjUZjXSW8FmNZ1nRnQOmhNCeHiCKcvcLNf0S5SnXu8qVnHl6QU6ddstNZ8e8pW01YJExJW2t+GvjyoIgGceUJDAAAAAAAAOAeuCmsuiAIouP5jf9G9UAIcSoNk5qiPHLWmYF5P69Pav+UG0cU03Sf9K37Brwm33/SYWdOpZGO6FW8jH8BQ2tUXH3ttdtuROUk/d17Tzw3sv5vDC/6fk05d6u9fmdvn1d77lpWzv3Y96CwsHjpQiIzA+m0HCNFnbp79x3kGxjkeGTlurF7BzHnI/woI69HSCGVsU+PDBs1hrdEBikQIEwgjmfKp17/RJVtlmUVCgVBEARBWE4RLVOvQKfTicViiURSmbkehmGMD+RXx32qvnLDUFzquH+k46s4GOPW016/0qrxxQHjbfWJW/lFo2f6uRZrrSBhGLpFQ9Xpi9ZNBC1GjiaZupGAZhhGp9Pxzk22k4DW5jwxndP4wOa5cXfGwod95Co7CWixiNLnFVpvp5JigqIjMcaEmGI1WusOFkGwvqP6Ff/vH4SQMDKk87G1Um8vc6NvYEDHJbO47z4xGo2m15q9XYEnsSx7stVw3qa4pZ9o6t51SoIg7u86ghDyH/tM0c/rrTuQPjLjA7n5KdUgEqFDbh9OefA0QjyTrK1RCZGKA6d5m7BQ0OP2Po15uU4Cd/35S7dDAsASy7LluWeOIAhYBhMAAAAAdQ0koKuR0MiI4Kkv5c1djhCi4iOcTECzcv6Kpc4gSbLHtl+unzp7roPNVdTM7v/2t8/Q7iXr9ziz5wrNPiOE1Gcvl9nC2ajc6irFobSjny5q+9EEj+zNhGVZc/bn6vGj4unjn3jhZV9TLP+xJKGh/1eLZT4+HjxueVz/balo5U9lNmKFnFzxU+7Kn3Ufz43r1KVsK8b6PoOE2zZa702QfhbFJVpvt1+gACGk0WgIgjAV63DYkyTJ8kxgxxgzDHOm2bOc/azfkyJbJju584RuHWJLTp1evPzuB99ZNvm9NLDNNzPFEolr4dYWGGPv/h14E9DOFOFxNQFt/1yyc0Le+eb3J57bTo1pzl81P7aTYniw9zjv9sQFM0yjOmZuNV2StEPSIokQi1JmTZT5+vAeC2MM5UfdsLvrC4jvZIj4dLyeFvGuG1m7EQTh36vdTTFVtGwTbwfL7DNCSBDkz9vN43ye7Zk3+2eeBqGgb8ERiqKoR2+tT2X8DcU3gKcsWbJk8+bNbg/fsWMHnI0AAAAAqGvge2n10uWr6X98uwIZWd56F7zCLIpHuye2ZUq08szRGXPzF62231OVdgmRhDOTksqI3rwoe6AnU7rWin/fYvlUFBniTAFZXrlf/nprULeI5EbliYfjuBtn0sgpr+FHSTQOYe2EaeJFPGVbEULk5YsPhnTLH/ly7Ni3qnxeTGFurnX22QxzHPXJlBvBYZGrN2H8xLRKn1FjlHwJaHz3jnUCmiRJhwlo9Gi6NMMwGGO9Xm9ZpsOS0Wg0ry+vVqtdzURLpdJLQybGLnnfpeyzoJ6/xHahap7+QmGbyWPR5PK+ZmuZSiu9ThCERqOx08FUBpr3tGQaxhX/88SMTlalIWhxmW7qM49rBWBKaGsRQoZhzkz4gqcB48jUFqaHfvWC4tfOuzpsiq1ohaGBzcYMr+gVOOuga6fOqE6kW2+nIkK8BnW2v7BkbWUwGDiO4wxGQaCfIddm/Rmz3Jk2C9/Hrpl7/fnpyOCZJP79VdusN0Yv+zRl+EDTX1KhUNjkwLK8P/6JSUzwyBEBQAhlZmbu2ePUhAxesOIIAAAAAOoguCe3esEEHqa50CZjk2+HFljk+PKAKCo0sUVK+Y9LEES7OdP6PzgRNXeyOCnaVjddVk7Yt1Pd2H9FZ59NIlfMNj+2zj5HzHrL+V2ldXvFmdyoHdnLfhK8Ow5bfMfAiLOVfTaj/lh245URhicLVlQ++dxPHfYh83JuvPp8mTyvdxB/3U+8aU2ZyT5SqdSl/2GlUqlQKLRarVQqtZWgVygUpgXlXJ1YRGn0aUkDNdk56d1edWEYRl3PO1uUBthj44KLsRy3d/CiadpgMNjpYDAYeEtVSBnmztyylXms7/NgNdrb4x6/Cwl8vW1lGbRZd3i3+z/Xx/LsbTKgR7ur2wVW1yMFgb7Jh1cMuL4Hss8ep1IoLnTmL+zeaOfSupl9NtFqtaKQAGeyz4RUwru6pjAypGvOv00H9Gx5+i+PhCTr2VaXnWO5hYoN73pnf7MRgyz/TMS3bt7jB/566wAAAAAAAIDKAQnoakcgEEQ2iG/YtX3f/P+8+3Ww37nR/+Z48NAiimo+fnTftE1DVGdbnvxT3DDGus+dCXOEYRVYrRhTPMWFnZT/+S92Wm99vIR3u9/oAdYbWaX6yt7DbkdSUlQotD2D2D5B9rWcZ3qqrZZHq0zkxfPOdBNkXbn11suWeWSSJI2xfLPMdFqJRYkJiqKUSqV75TIUCoWpMLStDhzHuTSFnBFRFzqMRghxWtdSSwkrv2JkMpeGAJfIT7iwHKt9NE0zDOOwkAtBEGVSxkJ55FNBAAAgAElEQVShUCqVnkl51rpzyd/7LZ9yHJc9ZJLlFn1eIW+CmKbpi4P5r8k1nP1OmS31wkMHZu3tlL2r6T/fR8+Z1PzA8u53/x1469/YFk7VfgEu4TjuYK9XeJOnPiP71PFJixzHMY3jfHqmerVrZr9n5Mqys/uFkSEp+37rd3G7t68vQqh+fKzAiSVGHZI0TzI/9hvVt2PWzn7p//j4l92zB5eoBcBk8eLFBqcplcpVq1Y1b97cNBbKIgEAAACgboIEdHUkEAgwxpRY3G3dd52zd3sP6GirZ/2mDSsiAIxxROOkvqc3dry+I/D1Z5FFOi9q0fQe6Vs7XN1Rb/qYijg0p9XLeqU2/m9l4uqvRfERLo3VXrkpiqtfZiPlaCf3n6zdYXZx8ES30w2FG8s1vYuQl+a/8WJVJjucnoItuJxx6+8nFqRi60fy9sT38syPtVot40rlijLUarVarZZIJOaaG2WP5XQCWiqVnkl+xo0YsEScMKinGwOBNWxjCnT21G8dLp2HMaZp2pmjKJ24qCMQCMwXVMRisVjPZj03/XTiQJbv4oQ264mpl/d/3mAsfFCmj+52nuXZKBAIaJq+++0K3voDVHxEQDD/PQT+wfXiurZrNuGlqNbNvHx9Hf4gwD1Zh46rz2Rabyck4gdrdlR+PNWK0WgU1Q+OWTCt9L8z9nsWLX94awgVHxH8/qsdru3sf2lH9FMtLF8LIeWuHuY9qIuQoSPnvdv+4pYBpac6//xlQEiwdTfTB6pyHguAMgiCIJ3AcdyNGzdSU1NHjRqVlpZGEERwcPChQ4egADQAAAAA6iC4CF9NiUQiU61bv+CgbmsXK+Xys3N/zp/3O3qUk8QSqsO5jRU9jSIgNKTD/A+4b983Go0cywqEQtMXOSosJOCjiZop4468OrNk0z7PHlS+80j6ziNefTv0OfO3qlR+9qsfCxwVp34c8JjBd2cuttyivXrLzThYtuR+sfVcKmcQlzPcPOgj5O0b2UsXx7xeGaVLeBAEYp2dnkwu+krdq5/kURKQCOdPQKMlc9HUWeZn5U+vq9VqxLemnOkUdbggIUmSNE2rMrPdO3qz/cvgC6SnyKLCeOu1C3ykzpwnZX4RDMMYDAahUGg+MSQSicq5RUpJkjTVWKAJwfnUF4yl9nLWhrxCjLEpQmOJoujn9dZ90nuOCxjaM2L2eL1eL2C5jH5v6vKLbFW/bb3L3j0coKIZjcYLg9623k7QYkGgr9uLCtQm4ZNHX3pmkp0OpJ931/TNUh8fjuNYlrXzJhnarqXbSxWHffNu09FDxU5ceYJFOEFV4TjuyJEjs2fP3rdvn16vRwi1bNlyxowZvXv3dvKiKQAAAABALQOfy6spjDFFUeb11hiZrN2nk7lZkxBCRqPR9KWu0ib12PoKJ6YlXVfPZ43G9AP/XR8yCentFVd1Vem2Q397Ne94bWf7r6aVTBu3L6YncqJCQvEf2z0Yw7WNO1u+OtKNgZwnfjPCNb/fbdshNNnBzc4VgRNLsMKFOtR5E16J/uUP02Np30HqVT/zdGrawiOxlWGdoOQ4jiAI01RWO+lLo9HIcdylIe6k+BseXB5ZMTcf1E31e3a4wrdd4GezhrKZ0WjU6XTmRDBCCGOs1Wq1Wq1EIjG9VTqZxTbXdZFKpacTBzockrz758iEeI7jdDrdNt/WtroVrttVuG4XwgjZjYKKqx9Qj3/6M6gc+ZnXeOvwxP3wIdMsiSPq+ixasVicPWWeKuOarQ6hX09q/dZo0ycTjLH9S3TBCbGIJJH1ZUICCyND9Nl36TZN4r97P7phIkJIq9XmZ98Ue8n8ggJdmtEMRdJB5eM4LiMjY+HChb/++qvpr09cXNzEiRNfe+01odD9KnMAAAAAADUdJKCrL4wxQRCFuXmner5guPO4fEHQJ2/HDRvoHRRYhbFZIkiyadeOTUtOW268fi4jvdc4ttRBxVUHWO5gTM/WaevCEuOHFJ+8di4989nJ+jv5dkZor7k735lP/nd/IrcS0GxsAjp5tPwBGKa/zW07VPm3DxteGCv64Rvr7RxF4UcXRSwJrl8xXxfx8vdX8+0Tb1lHDxlhnoiqVColEolpFrPbKIrSaDQ8x8LYtFyh/Zq/HMdhUsDZXZXuMZIgxJSsU4s2y+cwNkp/APeIKP4kkSrjusOZ7Eaj0TTR0rS6IE3T5l+6S2eXRCJRKBQMw2CMnXnF+Y3oFZkQjx5dLJT1biff8Z+9AY5y4J2PrnE+WlARMqbzvOkhhLBAQIiECCEn59HXVoSRvb/1AG9TvUkvtPpkoupBybkN2wyFD0g/r9hu7WW+PnZeSgRJ9rjz77FXZ3p1a4PFVOne4yXr9iCEkJHTZd1FCHXd+ZvwUfpYLBZHJvGtLmCXWCx2dQgA5ZSfnz969OijR4+WlpYihLy9vX/44YfevXv7QukkAAAAANR5kICu1kQi0Yl2Q9niEsuN9z5ZfO+TxWSgX4Nf50SltqqexQ1jkxvF5B6+m3Ujc9o36gtX9LftZY3tO9F8aKOt3zfo2i4uuXHclV1arfbezdvyC1eoegFeMfW1KvXNJav1RQ9YjZbV6RGHWL1Bsf+kR34KVulmusGrXWftn8tdGmIMCSNzc8psxBp1/rWrwfEN3AvDbWEDny7gS0BjrZYjCGyx6qBZ1qmT8W2eQgjZmeDjsJ6vqwiC4M1Oml4ULF+clpwsA9I87a/6DeI8HjwwI22fM6a8sK1WjLHBYDAnnWma5r0g4RBFUeajcBzn8MQgpHTnZV9bbgmb+nKm/QS0Xb4j+tDlqIoOyo81GhV7j/M3abQIIZ1O5966qbWDRCK50Jl/4Yegd19EBLHVu6XlxhsI+Y7s0+mXL3k/onAcV3Ar53i3l/U590q3HuLd7anZ37WdPdm9aI1G4/WMS01bt3TcFQAPuXHjxm+//bZgwQK5XI4Qqlev3pgxYyZPnhwQEFDVoQEAAAAAVAuQgK7uelzatzOYp3aBseD+pYFjrwQHpOxcUS88rPIDcwhjHBYbHbbuO4QQy7L3btxKf+cL+R7+b/j2ZfR/E+/9Nb5tS4QQRVH1G8ShBnHm1vD5H1h2NhgMB56bXLKFf6KWS/ye7+vmwIREm+VCRSKk47nL2zr7bKKd+gbatNe9MNwmFosNyS0E505bN/FmnxFCos9nos37EEIYY45msMrxgm8IIYIgHKaJ7eBNbZhr1zjcs1arpaLDNFdv2okvef9vkYmVfQGgrrF3q77dVLBAINDr9RzHyWQyhJBCoXC7trjpVMQYy2Qyo1YnqOdvyC/i7yml++aUfXtJaN2cZ+k6Jw/tLW2/dLa7o4FnFBfy/7oRQvqCYlNGqc4iCKJk6wFDYTFv671vVvBuL/5j+41Xhkanls0CG43Gg6PfK16/x/5Bi9buRK4noDmOu773YO4fW7qvWuy4NwDlZip3/tlnn33yySemLQRBvPnmm4sWLaqeE0QAAAAAAKoKzOmr7hiZtOXxjbZajXmFp5P7HnljRnmyeJWAIIjgmKjum3/qU3Ssw+Vt4sZxjsc8Kb3bKznZN5zpKRAIuq1dFPPrJ64ewlrSm6PcGygQCvX9n+Ft4n7606VdESUPquSXG/z5fJf6E/LH8/Q5bx9nhpAkWc4fzbSQoHnOtalYOcbYtOCPw7WnjEZjoy3f2WoNnv5K/+ITMa2qoAZ3XUOSpCgylLfJfoEUU+ZaqVTK5XK5XO529lmr1dI0zTCMRqPRarVnmz9rvFdEt0wKmzdZFPVEYN79O/W98691YVmCJP3HDHbj0FhMdcvcLoDCoFUt/5rN9UjVl2/U8UQSwzDCeu7M4ryzfmeZLQW5eVtCOjjMPiOEsOsvCrVSubf909fHf9Jl+YI6/isDlUOpVH755Zfx8fGm7LNAIJg0aVJGRgZknwEAAAAArEECugaIaNwwfN50Ox0erN22Kyr1fkFhpYXkNrFEElA/rPt/NpOwXv072mo62XKY8wmmlOeGtD6/wf43WHGTuDZn17c6vVYQ7G/dGrn0Q99A92+cDH97Cu92/NLTru7q7nWbiz5VHAnD6N6b5eZgG9Of8S9PZHvdq5ZgSS6Xq1Qqg8EgFosZhpFKpUajUaPRCIVCy1rAdtg5o5q+8zKsF1RppB34E/0Xn37HzvxoD37DVygUSqXSYDCIRCJkZBFC6tOX7k79Vn/zrsDPK2r1F+LGcSlHVnVdu1BEUbx7aP21vXdpXqKIkD53D0q9vcobPSg31cXrtpp8+7R3+9pGrXH15Q8cd7Ii8n3i3M46eeZQTC9W7tT9MXG/ufYH6PLps/sj2+kys7qe3SEQwu19oGKVlJRs3LgxKirq/fffz87OlslknTt3vnbt2rfffpuYmAjZZwAAAAAAa5CArhlav/GytFcHOx1YpfpYYrc7l69WWkjlIRQKG+xeyttUuvUgQijg7eesmzi19tCbHzl/lPD42CGlp1qeW0/6yKxbJckJfY6vC0uIq98wYWD2vj73jzU8siJgzGBppxYxv3zSu+BIixeHlucrhEgkYr/73e3hllTlTtS6J7ZPf10/l9PlCCEsL+VvCAs3P3S4uJzzOI7TaDSmabAcxxEEQVFU+ZcL02jKtUAicEnIoG682zVXb0kkEtNj6yXFKuJLfsHKLWW2GItLbz4/039Ap5hmTewcUUxL2l/fiZwLCQsFSQeW9cvcQcE6adUAx3G3J86x1Spx/Zad2oRhmNOJA9wbG9yjnfnx1f9OnO34kvNj41qkONmT47ij78+53nM04riW57fLfLxdChIAN8ydO/fpp58uLCxECA0YMODgwYN79uyJjIys6rgAAAAAAKovmCRSY3Rf99OWqLbGogd2+pxPHVq6en7DXl0rLSq3NUxtU/rey3lfL+NtLVy8mnd70e+b86a+EhwT5fyBIhrEReQeLribe3vDrnt/7mA1WtJb2mDhjOjGSZbdJBJJYrPkxCXJzu/ZochGjbO69hbu21HO/QiqbipN7JT3s1VKwf6yt1FbY338zI85L2/8gK9a6J7tZOdepryz/cXlyoNhGOcLttqZ2KjJL0JBQR4KCjjg16yhraZz7V5sfHAZQshUo9nyV+bxlSElEsm1Rf/jbUoc/4LD4YEhwX3vHz/y0rQHf++31UcUGRKzcEZij44wRa76yNjJ//sSN47VpF+v5hWuKhqn4Vm0wCkkEdq8ielh5r7DF/u95fzQ+gum2isNb0Gn1R7u/YLm/GWEUOzq+RGxMW5ECoCriosffsgxrWE7depUl4bv2LHDyTMcAAAAAKDWgAR0jUEQRPeMPTuDHazqfuO5SdovpzQb5zhXUrUwxk99PPGIWnvPRq7ZlvOvfhi8b6WrhwsMDQkcPxqNH+3qwHKK+fDz60KRaOfm8uwkOCbWU/G4IfqjL2516YU+mmw/W4bnPC6vwcYlEqeO8nRi2YpOukkkEpeWC7MTj+5BnV52rJIFhAZjCcWptdZNhqIHuQtW1ZvwnF6vl0gkWq2W4ziO4xiGUatdnqWOMZZIJARBWF//oCjq3i8bWAXP3Hksobz9fJ3ZP0VRXf5YUHA39/ybs0p3PX4VEF7S0AnPNXhtpLe/n53hoPKxLHttOH/yyHf0wNxpC+ty/Q2GYc40HuLe2ND3xpiqGF3asf/SkHecH0h4MS3HPe9Mz5Ki+0dbDmBLFQgh31eeTR7k5rrBALhNq9Xu32/ziqMtdfldBQAAAAB1FiSgaxJGJutw7cChuE72u+XOmEdH1U/o2blSgnIfxjj1q/f+02oLflrv/CjlsfPykhKZd425xzZm2kdZJCnaZnMlSfuM0XE0TXs2JFdFdOhUun73/TdeIO/l8XbQd+0dHd/A/JR6/R3jq3wJ6KBg85euCvr25dKUIoZh0hoOstUqYCSeiAg4BWMcNGZI/hKe6vD+rwy+v+Xf8HdHa7ValUplWmeSJEk3ZtCbss+m8ixSqdRyDxKJ5M5HS4o28K+NFrPyC5cOFBga0m3TjwaDQatWY0wIRELrdQtBNXHn6nVOz7/Wpfr0JWGwv8HuSpi1GE3TF/u8jtyaAE7Q4mbvjUMI5d3J4c0+h74zKv/XjUa+etCdzm9y5lLlzfSLGZ1Gmh6LkmK7LPrMjTgBcE9ycvKgQTY/PzgEd8AAAAAAoA6CBHQNExgSnHL4r7PtnzU9Jbykprk/ZVwfOdH33Lag8LDKjc5lGON28z9M79Lm2sj3nB+VtWl38uihFReVZ2GMY6a8f6Npc8FXH7o61lgvJOxHl6d7VwQvPz/Zn1uLbmSXrPpV9GRREd07M2MGDLH8NhUSE3ubIDFbtsQzvpxhrrxREd++MMYuLWyYt+QPZDsPTkqgOG+lajTzNesEdOSyWbfGfIwQKly7U9y3HULIlA10LyfIMAxv2loikVx7caYy7ZKtgU368Jeotk8gEAhkPAXoQbVyebLN6s8P/tzh/3T3ulmCg6bpzAHjtTdz3Rve5vQ6EUVpNdqjjQfzdri7YBXv9tan1vrWc1z7KH3TtluvzDA9xgKy15FN7sUJgHvGjRs3bty4qo4CAAAAAKAmgQR0zRPTrGnhdx/fGT8LIcSbfTY5ldy3843/aJm0EkNzB8a4yaBecUUddwSlIqNT3/MVl65XdFSehTGO7tVX07FL/gtDiKICm/2+XCyNT8jPuk7evsEGBftFxwaEhlafaTIY44DomIAPP+c++AxxnEqlosRikiStI8QYc75+mO8nxV+8T076wGg06nTu1hW1zVZ6kZdIJCr40155bom/jyeCAs7y8fMThgXpc+6ZnmJKyLRoaMo+I4QK1uyIGtCxPAtXWk55FggEWu3jch+a9Gt2ss9RKz+vPi9D4Fksyyr2n7TTIfLzCRVUrb46YxjmYu/XtbfczD7HrJ0XHFkfIXRk7ExO68JbffLhleGNEhx2O/z2+6Wrt5qfdr5+UAh3GAAAAAAAAFC9eXgFJ1A5Wr/8XMCbjiskHh/xVk0pMyeRSAaXpoV/Nh45UUKBdeULbfUhlkgi1+3Qf7+S9Qso08QhpJ8wvf5Tqb7+/omtWsc/PSyhfcfAsLDqmfbCGGOCYKRSgUDAcZzRYLA+zdgXbcwMyrkjEAgQQjqdTir15NURsVjMsqzMiQmnMpnMVMPBYGdJT5LwDvD3YHjAGR2OP5wB7ffSQMRxyqPnzE3qi9fLWcVCp9OZXlBSqVQoFOr1etN2qVR6eYTN9aOwmEoe3Kc8xwXVmbzY3rq+Xp1buXRTRe3AMMzF/m+5nX1m2qUk9++BELp3607xOv6aNjwwapW+MbZFU/u9WJY9MPKtx9lnjNqk7/QNKPsnFQAAAAAAAFDdwAzomqrj3I9237wr/2c/QkgYU1+fddu6j/rY2ewz52OaJ1d6dO7AGLeaPLb5xDGX/vrn+oQveZcCMwns1rYyA/OsmKSGaP1OtUpVdOWy8fghTi4nU1oGpnaQVHWhZ2cY9Prcg/v1J49wIjGiafL4YfLGw9nohtgGxKBhIT36iMRihBDTvBXPcnIIobgEc+LPs0iSVKlU5rXp7Nw1bzQa8c08QaM4O3ur98ZwgoDrc5XNx9+/4e6fHpzOyJ2x0LqVYMt1Oc18zcNyQitFUefb216yFeP2F/4mXCksDmoWrd38ctwPH9a16c80TV8aPEGbdce94VR8ZPedy0yPz45538lRBCNpd25DYFio/W4Gvf5Qv5fUp9PNW1L+WxcWHeVOoAAAzzF94pLL5Q8e2LukV2mUSp7i8raolMpqEraTVCqVGyswVzd6vb5m/beXYbohr0b/COZadqWlpdVzwpMzWJZlWba0tLSqA3Gf+eZOhUJRc38RJjX6M7N5Ol11fncyTYup6bUBIQFdg3Vf88PO3qNUh0/xZp9NLvd/NeauvfuLqxuSJBuPGNho+ID8m7evzl9+/8/trPyJTLRXn3YN+natqvA8RULT4SnNUEqzqg7EBfeuX9OMG4lZVsjXKrh+BX37Wf63nxmGjAh/fWJQeH3ekxKfPy0Wi02rwHl2er7RaDTtUKlU0jSNMTblo617kiRpKJYrL1y1uS+STP7gTQ/GBpzXILXV3z35p8/nLvnTe+yQ8pw2ZT4YEQSh2H3MUFTC35vAqembA8JC3D4cqP7sf9av6Z/wXEVRVNabn2uu3HR7D+3/XWG6dKdRqRT/nXVmiPeQrqFDu2ctWXFDIg7q3TGiZTPeX4pOp/u3eT9D7j3zlsQtP8ckN3E7VACAZxEEUU2u3GPsQhjVJ2yHTJ9/MMY1JWA7avpPwbIsx3E1+kfAGJvOKIIgam7e0/wjVHUg7jOdS6iG/yJMMMY190fgOM50MaA6vztV28BcAgnoGgxj3GvHqn+eGqhLv2KrD6fV3bhyNapBfGUGVn4Y4+CoiOCFH3ELPlTJFXmnL5RczRZ5ycK7pXoH+Nfct7aaS6fTaV8d7sz/u2Djn7lb1wt/WKWaNpueY7XuIseRJ/5DjZshT69DaJkqUqlUBEHQNG00GsvcQY8x1uUXebdvdmX0TFu7Sv53GePl5cHYgPMIgqCfaqo6dt66KW/p2tB3Rnnw6rpIrct8d66NOHDHK9v9QyH7XMvZqbRDekvdW+uyhhIIBPdXbCk94P4V65BpY7x8H5bOv3smw2H/oEmj9OkX1Tv3Ze/cZ9pSsGBZZqBfwl/fRTVpZNlTpVAeSOjMaR5X34pYNqdh145uhwoA8CDTV2KGYbyqx2enElrifGexRFJNwnbIaDQWFxdLJBKKoqo6FvcVFhYihAQCQU35b+dVWlrKcVzN/RE4jispKTF9yJFKpWSNvdVPpVJpNBqpVFpzE3NKpdJ0TwNN00Ih7yyvmqGwsJBhGFOlzZpIr9eXlJSg6v3uZDpDau7ZblKzowcY475H/xZG2LtxNbPXS5UVjudhjBkvWWyX1Objnm88YqBPYABkn6vE7bmfOd8Z6/WGV4cTgYH8rT8tlEhc+G7gJKPRaPlnm2VZpVKp1WqlUqnlOSORSLLe+Uqbc09+/IKtXdVv2tDj4QHnBY8daqtJnZntqaNIWHy+w2hbrS1OroHscx0n8PWuiAS0RCJhGEZqweOHcANFUao9x3PmLXfYM/DdF3m3C0MCW38w3vyUs7ukcOT/vmDq+5YuXaX+L61Mk7Hg/sXOz924mGnewrLsgUY9LLPPIQveb/HsIIehAgAAAAAAAKoPSEDXeARB9L2wmwz0s9WBLVWkb/inMkMCtY9w7zZXh4invM7fwLKC7GsIIYVC4dnki/X98hzHKRQKmqYZhjFvTPjfnPRur9jcC8Y1+vpzLRDbz2aNnez3vvHIISiF5lybkchGNY/Qz9+OSErwyIFANZd/zeYljUbbf/BgCQ6xWMxQ4rx3551rPORMw0FpSQNN/840f1Ymk1VtGloqlWa/8vGNqU69uAq+WcGzVSDoeWmbZbX08FY8i09gShj911wxg/PHzjQWFds5ys1ZD6vAcxz3b4/nOMXjiq5BH77VduyLcCkaAAAAAACAmgUS0LUBKRD0ufyvnRz0rbEzHxQVVWZIoLbxaL1m/OUHpoSL0Wj0VB7BaDTSNhZyVCqVer3elFbW6XRn24y0sx/SV+aReIDbBAKbdwKyCnU5TxiSJMnb9y50GWPz6EF+rd+xfX0C1CJ3M6+eajmMtyny8wmmUvXuEQqFjFAk1hgopVZYJC/9ecP5Jk+fafp06cGyE345tfZ04oBzHV6kRKIquataKpWeSRmqOJnuuKsNWCjofH2XSCSy3EhJxJ1v7mHaNhUE+QkCfcWNYuoveJci9bmjpzrz10S554hKoUAIpc39XnP2knm7/7gR7adPcDtUAAAAAAAAQFWpqVVaQBkiiuqRsWdXXEe2lL9A6qm+L3c79jdMGgJuwtiTOWijEauUCCG1Wi2VSj1V1dfO8nQ6nU4oFDIMw3FcmWUty4j66WOPBAPcplNreLcLfL2a7P9NLpe7vWeRSFS65cCtDxbb6dP1wmZ4n6wLCm7ePt6cv9iLMMjPZ1AXU0k+V1EUxRUUXxv3ieb6HWf6E95StkTBtE2+8+mP0Z9N0Gq1ZTqIxWKdTlcRyyGKRCLDlZtpw6aU571dEBLQM+MfSiy2bvILCuy1byVC6O7V62eferpgpmu3L1z/Z0907675c34yb/Ee0rPT/FluhwoAAAAAAACoQpCArj1ohulx+d+doa14v0zqrt28d/1Gvbjoyg8M1AJs/Ujy1o2K2LNaraYoyjrt4h6CIGxlajiO02g0DstPJ3Rt75FIgNvy02xMxiRweSalSiSSu1/9WrBqq50+jbcuYWQwBb72MxgMhxsPtNXaeM8vStezz1KpNP/XDVm/bjAUlzo/ii1RIIRKtxxo+t9K60txpjtFyqykWn4kSQq1+szBb+py7pVnP0xqcpftv9qvWXR67g/5X/3oxs5Ldhw8/dd281NJavOuKxe5sR8AAAAAAABAdQAlOGoVxkvWK9fmEvaXZ82vzGBAbWJ89yPHnTBGYqdXF1z9m2meqakKh0fmnHIcZ2eeoNFoJAhCZXcVO6phDO9UPlCpbEzHNBSVSETu1CggCELKMBmdx9jPPkcumh7XpZ0b+wc1zs7G/RHfKnlh741peniFSufa9TCMsVQqTUsamDNvuUvZZ0uXh0+1zOSa9okQ8tQNImY0TT/4ddP5tqPKmX1usGZej92/28k+67TavR2Hupd9RggRwQHK/cdMj+kOrXrvWg23JgAAAAAAAFBzQQK6tmFksh45x3mblPuOVnIwoNaIadLUVpNm8AjTA04g5AKCnNwhPrzfnLnQaDQeKX6q0+ns7IfjOIqiLg+dbGcPXQ78r/xhVE8FeXnpew8e+2LJuU07stIv2SlXUuXEAb62mgo373d+P6YUnkwmy506P63hIEOhvUXP4lbPaf7qSMhw1QWXDx7V3cq13h711STvkb01lMDWq0MoFEokEqlUKpVKGYYRiURisZimaZaFJtUAACAASURBVO5G7rn2L5QnJP83hwW/PVKv1yPT9RKpVLP7OKqA7DPDMOdbj8xd8gdvKyHlL6NfBqbFfYqONRrQw87rRafR7Iloq8246magCMkGdDM98Hq2T6/tK+G1CQAAAAAAQI0GCehaSObj0+PuCUyXncgpG9itSuIBtQDGWPfxXN4m8aY/H/bR6/Cdm+7t3/5N3E7S6/UiRwt5sQZj2MJpvE2R382UME7lX2oQjuMu7T+8gU45FN3rSv+3787+6frIaWdbjdhIpxyc/Jlep6vqAHn4xdusFOTTvrlpWqiZafo8Q4lLf95I5hQqVu8gsu4yQpHx5MWSn9anJQ08nTigZB//NTmzBluXNBnc2zPRg+pNrVJd7P06T4OA9B3Y2WAw8I6iadp4IuNi6+fSu4xJSxqYv+uwPCcvs8+bpZlZ51uOuDJ0srGopDxRFX2/1rfbUwghqVSaO3V+5vApfoO6lGeH1jDGjFhyruVwVslfXSR89vgeN/ba3wnpI0s+tnpw4XGx3VpGBr1+T2QqMhitm4K+fg+RNlcZtSTz80EI+b06vPvyBZB9BgAAAAAAoKaDGtC1k8zbu9eNIwdHvMnJVYZ7RZzR6N27U8vP36vquEANFtOpy83IaPKmvRIWLhGJRDpPJ0B1Op1i3wmhn7ekQZRORBqNjzMgQqHw5offIYTuTJjj/XRXzbkruqwnVgmLHdTDs8FUOYPBcOjVmcVrdvK2Fv7w15al61seXhnRrHElB2afmLaZ27rQ41WmaYOElV8pFAqJRCI/cKrkvzNsqfL+ln8RQnk//YUQuuvi4ZK2/5DYKbU8Adc+LMvK5fK8vDzTK8jHxycgIEAkElV1XB5weOjb/A0GY9brs0MXTLV80yBJUkwK5cfPn393LitXIoSMBcUIofwvfzPkFSKEbjw7pfwhCYL8kg/+rtfrGVKcljRQFBrUZN+v+vslBonH/sMxxoKi0jO9RvK2iiJDWu75rV5YKEIIiylOw1OBhEqMTvp1dnSzJg6PZdDrd0e1480+I4QkNB2/dvHVZ950uJ+L7YYFTXq5/WfTHfYEAAAAAAAAVH+QgK61aIbpuv7nXW0H+T8/sMGrz0m9vao6IlCzYYyDf1iRP6I/UVquuX4VSqvV0p1bChEu2HVEued49NzJJcfOUyEBdHxk1pRv7m89YOpWsmEfEpD1po25N+c381iJlKmiqCsEy7K7241Un79iv9Op1OfZA8ujWjerrLgcI0lS0jRefZ7n5n1Oq1eczEhrPLje2KHX/9zudr1ds8b/fB8P2WcL9+/fz8vLK1ODori4uLi4WCqVRkZGVlVgHlFcUKj495St1pL/0mJElIE1mgrTUxR1e9YPBX9ut+5pyj47SRQdpsvOsdlMYEwJNbdzxfVDTicOaHZuPUGJFKczROHBBqFn7lEjSZLLzs145h2eNgHZdPuPse1amzd0vPTP2bdmlez8DxlZwksqaRIXNuaZqAFdmSfvPLCFZdl9LfrxprARQoggZO1aGFVOLfAYMuudtlPecKYnAAAAAAAAoPqDBHRtJhKJ+p78Z2e34Qe/+EHWv0vT+R95+/lVdVCgBhNL6MDVWwqf6YG1ri3SxauC7qrW6/V6hPz7tFefv5K36/DdKTbW3jQY87/6TdbjKe2Vm/pbuT7P9hR5og519XHo7VkOss+PpHV+uV7hEQldjcqPePduz5uANuEMxrwf1pT3GARufezPsMaJ5d1PbcGybGZmpp3i4AqFori42NfXZoXu6u/s5C/tNRvZM40HY5FQHB0mrB9cuudYeY5FP9UkYsILkd3a0TLp/hETH2z+l78fy+lv52dNm68+m5mSvrH04OnSw2lh776kI5AAIVslQVwIg6Zzv12R/+sG6yZJ0wZdD/6vzMR2v3qBXdd9x3Ecx3EE4XIG/PTniww5+bZaGx75y2AwkBIxpsWcSmNnP+Hfz2o9eoSrRwcAAAAAAABUW1ADupYjCKL3vrXeI/rKt+7/L77LoZcmsSxb1UGBGoxmmIB1uzjXExPWLFNdCoXCI+sQmmk0GrG/790p84Xh9epNfclWN/nuY7qce+FLP2zy5bsePHqVk8vlRb9tcrY3xx1+dkJFhuOyqOcGVOj+RdFhfQuPQfbZrLi4+NIlx0tT3r3raoGTaoRl2Qfr9zjsxun06ss33M4+N9r9c7/7JwYpzvTatyppcC9aJjUYDA+2HHAwTKNremgFQZKyNk0jPngdcZxEIiln9tm0mOH5liN4s89+L/TveWSNrbIqGGM3ss/37xUULFhmq5X0khoJrNPpWLWGU9u7hBmzZmGrF4e7enQAAAAAAABAdQYJ6NoPY9zt1/n+bz6PEJJv2bcjsNnlU2kOEw0A2EJLpeG7j7P+geXcj+X8Z47jPLIOoaXg159FGOvv5OfPXe7Vt7040cbSdgbj7XGz/YKDPHv0qnV64ucu9ZfvO6nV2JuQWMmC42OwuKIqDsdtWdwvYxslLrtMa52VlZVVozPLTlIrVRW6f1Fs/UGKMw3atRaJKcvs7d1zF5GjP7iJf30j8PPmtLr8ZZtONxx4ru3z2vLdZUKSJJuRlZY0kFXzvK5jV33ZaennbqSY7Ut7+jU7reFfTEUIiTGhuXbLzn9Io72rUvr3hlUHAQAAAAAAqGUgAV1XdJr7Ub1p40yPr/d6eU/rAaX3i6s2JFBzEQQRuW4H+n4l61OO+/EP7zM/JEnS4xdFFApFs4yNgSP6IIRKtx3WZGaHfv2OINjfuqckJcHjuZiq5XjGpZWMTTsqIhL3YIyT9/zi8d2Km8R3urmnSbeOHt9zzZWbm6tWO1WTF9hCMJLGB5b3u7CV923k8kwbVYAsXBz0dlrSwDMpQ3O/W40QCn9vjF6vdzsegUCg2X/qyoszrZuwWNT6wqamT/d1e+e2qBUK3aXrNpsxlrVrLhQKH+w5TDA2rv1g3Pzk3wlPtfJ4bAAAAAAAAIAqV6tyLsC+dh+9Gz5vhumxPuv24fjOJ75YBFOhgdvqJzWM2LCb+GapMdzm0mSsl4+tJo54XIOeJEmlUunh+BBSqVTh018xP7373gJDflHI7DfLdGuxbqHHD121eKc92ndn+qKKiMRt0c2TQ6a85Km9+T7TvWP2rj7H1/kFlnfmfm1SUlJy//79qo6ikgiEFbDoBcaRcyYNyD8S34p/GU+j0ag4lOZwN9prt82PmRYN/Ub2cftPs0gkKl23J/vdudZNXr3bDbh3NCzWxr0g5aMqldtpjVkxDyGk0+n8BnS/8fqHPD0Iok36zqiGUBUHAAAAAACA2gkWIaxbWr/xkjgi5Nqwh/VeC7/5df/+ox23rxQI4EwA7sAYhzVviVZu0KjVaoVCX1hAymS0rx8hEBj1eiFFFV/J1I5/iXcs17aDUKczTfTT6XQymUwut5fCcA9X5k52DuV++H3QlBfvzVth2hC34rOgsBCPH7eKsTayVxj7jR5wf/lm6xZDflHFhuS6pz6ddDY6LPst18qJWKLbNg0e2Tfh+cFiicSDgdUOBoPhzp07VR1F5aHEYp+hPR6s2+2Z3WEc/sWEJmNHiml7p5ariy4IfL3iV3yhUrlZLYSiqHuLVuf/st66KWj8iNQ50yuutMWFNz6w1STw96UbN0AIiUSirFdnGAvL3n1FSOmul/Z5+dXg9S0BAAAAAAAA9kHasc5p2q9XwIWdx5r0Mj3VpF3cHZXa+tQW/+B6VRsYqNHEEolYIkGW00spCiFEh4XbKmWK9TrL28wraDK+4uxl64335q3wHthJvvdE+LzJTZ+t2PXuqgSmhJxGx9NAErzZZ5PtqcPbb1sq87E5ab3ypbw8LHF4/3M//3l3hs1Z6oSUDvn49ei+XShvmTwnr+jSNcpLGtg00SsoEC6t2XH16lVXh4hreOHs1J8+27ZhLyrHSryimLDAcUPjhvXzCQp0pm6PQCCg2zRRHb/g5P7FMWHuVUTBGEskkptTvynedsi6NWLelOZvjKq47PP9ewWqw6dstSbsWi6XywUCge78ZdXpdHFKUviMN1i9IWvUZISQJLVZj+2r4KUKAAAAAABA7Qaf+Oui0JioXrmndsV14JRqhBCn1h5v1LPh4TVRSXD3K/AwxtunyMeXeMBTcBy/9px02XqFQmF6qlAopFKp+alHEARxdcJXvE0lmw+EzXmn5UvDPHi46kMYGqjLyuFpMBjtjFKfydwd2jk1c0twRP2Kisx1YppuM3EM+/ZLlw4cudL/LWRxncL3ub5tFn4oYWjzFi8/37AmSVUQZU2jVqtdnZyLEIqOrpDqDZWGEouTDyw/1+FF+938xwxOmT1J5uPNcRzLshghjDEmCDcSuBjjbruWba3XjtM4tahgzOKZOoytr8aRJCmRSMq8PUqlUoSQOjNbee5y6eG0B3uP8y7ul7D9+4ad2rkaufNO/7A8/wP+OteERJx0eI1CqUQIGQwGr9bJDU9s0LOsSCTKHj0VIeQ3/oVOX70PSw4CAAAAAABQ60ECuo5ivGSD8tJ2dh+hPn7OtOVi++G6tYsadOtUtYGBWgZjTLw2Cc35iKeJ49ilC8kXxxmND7OiKpVKLBZrNC7XL7Z1aFosZrV8E4FNHYSkRw5UDSX8OfdC6+fcGclxRxL6d87a5RdSvW6JIAiiUZf2jZTnqjqQWiI7O9vVIQzD1IK1OmNaJIfeP35118GClZuVJzNYlZpVahBCpLdU0iQ+6qvJcSmNzflQjHH5f2SBUOhk9hkhdD71heSTf5IMY2RZ81RomqZJkkQIEQRhumwgZaQP9h5Ne/tLB7sjyTbnN4ZG26zRXx56vf7CqnV5U/iv8CGEgt543m/MUIVFcX+FQkEQhBjhjKcGIoRiVn2bMqRfRcQGAAAAAAAAqG4gAV13EQTRZ9/aA9M+K/pupWnLtWETBFt/iWkLa9ADT6rfu9/NH+cTJTyToMmjByQvv6F4lIBmWVYoFLqRgCZJ0pzFJghCKBSSLJf307rMJX/aGeUdHeHqgWqK+CaNLmDMOx3SGQcS+w0qPlELso2AV2lpqRsVbyIjKySPWfnEYnGTgT3RwJ7mLRzHVdwkXI7jCC8pW+rsvR3nWo1ACFHRYQmbFwsEgvt/77syfUG9V58Jn/ISTdMIoaKNe6/MdLxuKtUgstvRtZTE81VTVHLFhSXLiub+YqsD6eudsP03jdFgWU4EY8yIJYWrNmUvXI4Qan5ma1SDeI/HBgAAAAAAAKieIAFd13Wa80HmwO4Xe442Pc3s/6rg0JoIWIkeeBT9/Qr18wN4Ezz47dHMj6uVj2bJGQwGd/ZP0wihkoOnVZnZyvSrpYfSWJXjLHZIq6ZuHKumaHlqzakWbhYY4XT69M27mg7u7dmQQDVx+/ZtV4cEBQXV4joJFfqjYYzrzxx7czp/kQpbtNk5F5oN4x69H+b/sj504qjCNTtuf7bUmeFxv37aeMRAj/9cGrX6zEfzin9bZ6tDyIzX/Z7tazAYlI+uI2KMKYoiSVJ18kLG6x8ghDAj6ZyxxzcwwLOxAQAAAAAAAKozmOAGUGK7p1Iv7ETkw5MhvcPwO9ezqjYkUMsEhoZq3+WpwoEQwlotsXW9OVFiutPcVSqVyqjWXh37Sc43vz/YecSZ7DNCiKIlbhyrpqif1CDkg7FuD782aoYHgwHVh1brbDkIM6FQGGi5vihwUcpbL8h6tHVpiFdqM+7Jq3GXRkwxSEQOB3oP6NQz73CTkYM8m33mOC599YZ9kal2ss/1506n+nZSKBTmu1goijIeOXO57bNZL0658foHCCFx80b9bh+H7DMAAAAAAAB1DSSgAUIIBcdE9ck7LQh5mGI433pIzo0bVRoRqG3i+g201YQzL5qrPbiXNDEajYTYcWqmDJHY8zenVx8Y46dmvhU+Z6Kb442se7PRQTX34MEDV4fEx0OphHIhSLL73z/2Kz7hZP+EP76OWTitzEajUh3QoWX8stm2Romiw7rc2td1zSLGS+Z+rHxuZmTujGl/6+1ZyGhv4cr767ZTFGV+StN06V/bb0/7GhmNmoyrCCHvUYN6H1gnsugDAAAAAAAAqCMgAQ0ektD0wGuH6Y4PC0CfazHo1tVrl0+mZZw4mXUuXe5WzVAAzDDGxvpR/G2s0Xx2abVa9yZBI4QEQX7Odw4YM7gWlxQwwRi3njCmy629BGNzrrcwLMhW0+3MKxUTF6hKpaWlLvVv1KhRrX+lVA4jay97+xhB6AsfnG01oszmgHFDRUF+V1/+kHdQ+NzJ/TK2+QT4lzPIMlQK5c6kLhkdhztTw1ocG2mqxS8SiRiB8FLLwXnzHteJjvrft92Wfg2V5QEAAAAAAKiboAY0eELv7auOL/09Z/IXCKH0p54xb89ECCEkqB8S+N7Y6O4dvQL84WskcBUePxVNe4un4dIFmqYVCgVCSKfT0TStUqmc2iHG5sy1RqOJ+/HDzKcnORcKTp7t7tTgmsY3MGBw4bENkmTeVn3OPVsDDXqYAV0LCQQCnU7nZOdGjRpVaDB1ikTiVM0fLCB9e7SlosO02TkPNxEEFRse3K9T1uSveYckrP2mYf/unooTIcRxnEapOv/Nj0WLVvB2kHVsFbnwI/29optvf6K5epOUMQ22/qITEBzH0Zi80mO0Ua58/BNRolYnN4fHRnswQgAAAAAAAEDNAgloUFab10ZnpbY82/5ZZDCWaTLczs19+9NchBBCvmOejX3rxcDI+jA5DjgprFmLXBtNOPcOkvk8fOzcGUWSJFHwgAqrp2eNBoOBJEn17TwnI0ne87O3nwvTpWsBQUigIbfApSG0l7SCggFVyN/f35kLPFKpNCIiohLiqVN8X+hfvHKrnQ4EI0k5tUalUiWtX3BjxnzfXu18eqZyGCOt7kzyM7xDmp9cE9nIY+sGK+XyrE07cuf8ZMjlvzRFessS9/9Pq9VyHIdFwrg1i1XnMkWN4rQ6nZgU3JwwS3n8nGV/un3L7lt/Fwjh0yYAAAAAAAB1GnwlADximjQKzjn5b4/nNOczbfUp/u2vU7/9RXhJQ6e/3mD0s+JaXU4XeIRAKDQkNRFcusDT9ul05vuVSqWSJEmtVisWi83LWNliNBolESGnEwdiSihtlqS+csNw33FtAdLPu33aOv96NutO1FYxKz+70v01l4bUi4T8Yy0kkzkoEEySZFxcnEAAHw88r93iT3bsPmbIK7TVIeXUGtO9ICpkDP5iAsdxSrWaJgRnWwzj3+G17UGhoeUPzGAw3Nh3+OaX32vPX7bZCePQ99/0GtRdoVBIJBKO4zBBIIQESTEkxve/+unBlr1lRkT9OLvZqGfhKjUAAAAAAAAAqigAfrSU6f3fxuCP37bfjS1V3Jk5b19YmwNDXr2fb/NefgBMhMNe4N2O1Soi57ZUKqUoSiKREAThTM5CoVDELp7BafXyY+cdZp/FidGpFzYNyjlYB7PPCKFGqW1c6o/FFKQgayWMcWJiIu/ri6KomJiYxMRE+NVXEKFISKck2Gr1H9ZLqXxcuYJlWY7jJCzizz4TRNeb+8qffdZoNMdnfLkrtNWVkRNtZp8JIn7DD4knNoh6tVer1abYSnceutRp5J1PF1/v+0pGy8Flss9YJExN39n8hWGQfQYAAAAAAAAgmAEN7CAIIvW98Ve6pqZ3Gumws/LgyWMNe4hi6idv/iUwJLgSwgM1ESEQlC3sYrb8e/W7H0vu3kZqFZvYWCqVyuVyhzv06dG24d+LRcH+JYfPZL87107P/7N332FyVXUfwM+5der23tI2ZbOUhBA6SEIvUgQMKh1UUF4VCwJSRFTkVfAVVBRBUEFEeglFilIMhIQAgWw2yWaT7b3MTr937j3vHwfGdafs3TI7M7vfz8PDs7ltzuyUnfne3/2d4zc9NpdjNUrpARv+suWw+CcAYh3wr/tTOh5II1EUly9fbhhGKBTyer1Op9PhcFg86wNTEQwERl78d9xVUknBvJu/zsufOYfDIRCypf6M2I0Fl+OEva/ZHJaaSicy0N3z4Ze+Gfpge/LNSr5ybvHlX/T5fCQYJIQoiqLIcuPa8wyPlxAy/OQ/YndR6heftOEpcQ6/3wIAAAAAwBj4egDjWHLgAQuGP36+9kijf2jcjbXmtk37nGBbtc9hT99ns6MpB4zl3mf/4QSraNNOu91Oa5dGHrxX2mdFdHbB5Hw+n7qwQlIU9/GHiHluYzh+Zi0W5Mzl9Jmbv3K/gd9c1/L1n467Zf7Zx87bH7PPTZVpmqZpEkIopaIopns4Y4mi6HQ6nU5nugcyVzDGXqr6TPx1orD/G38anT673e73V33e9Adjt1XmV5z40XOTfkYxxlo/bth+5uXm0DhXjUhF+UtfeiAQDPKBybKsMNJ4/IXmiD/JXjUP3n7gmadObmwAAAAAADBbzfVEBqyQZfm0vW9v/OXvO2/4pZXtQ+99/FrVwYXfvHDl97+uqGqqhwdZxOF2D1FKE4TL9KVnA0cdaz/mJBIO64IgiqJhJCyY/s9elDLGRN0QHbZEAXTO2oOmNO7ZYtUl6+ylRY3rvksMM9E27rUHfeZPyWrJIblgMNjb2zs6TOTcbnd1NWZtnbv+ue6bLKTFXbVi89/5BR+yLNtstsjwyNY1F8dNn8u+c8Ght3xncgMwTbPp1TebvnQVSf6+KonFF55VeuX5hmH4/H4+KjliNJ//3XBTS5L9BJfj4HefKZ9XPbnhAQAAAADALIYAGiyhlB7y7cs7zzxx48FnMn/Ayi4Dv/rTK3f/dfnT98w/6IBUDw+yhSiK+slnKuufiL/6mUftJ3zWVFVxT1O4tEKWZVmWx52NMBQKid2DDademWSbyi99dtJjnmWWn3JMTcfrm6/66eDDL4xZRW1K3V9+tuzUY9IysEygadrIyEgoFNJ1XVVVl8vldrutR8Y+n6+trY1XPcfyer0NDQ2U0pKSksLCQiTRc8qW+/7mee71uKsEu020q4I/4nA4grtahvZ2Nn/j1tjNqKoctOWxigXzJnHrpmk2vfTP3V/5AQvECbWjpNKi+b/9kVRTrmkaD8SdTqf3lQ17//f3kYFE1658wnHU6jVP3qtiOmIAAAAAAIgHATRMQMWC+ae2b3zjims8f1s/ennVrd9Tqsuaz4spy9L0hpMu3nvU6sP/frcsyzM3UMhgBedf5ksUQJ95LvvxtcJBh+u9Pc4vXeL3+xVFsXLMwEe7km/Q+bfnl5x49ARHOmu5cnOO/uPPwnffPNzW2fWvd0IDwzkLa8rXHJw3V1NRxlhHR4fH4xm9MBAIDA0NEUJyc3OrqqrGPcLu3bvD4bCV2+rp6ent7V2+fPlUxgxZpGNHU8v/xMmUuYJzju++7wnBrnZv/Gj4pfgdonPPXHvk/bfJ1t4PR2OM7frHv3Z/+bokZ44Ft7P61u+5D18VDoc1TdODQUqp3W6nlA4++FT3L8dvB199102rL/niRMcGAAAAAABzBwJomBhZUY65745tXzx9x2lfiS7suPnOgjOPr3vjb3u/cXMwZkajwBubXq48eP+NT1QumD+TQ4XMlFdSMlJQJAz2x66iD94rEuL/zo2SJPEk1O/32+32YDBZ1R4hJP/0NXt/cCcxE7aN9r370RSHPfuoqlpau6C0dkG6B5JmPp+vpSVZYwGPx+Pz+ZYtW5Zkm4aGhgndKGNsx44dS5cundBekI3CodCmg89NskH/n59JfoT6F363+KhDJnFyaPvL/9p74fdYOH7fDypJix65U11QFQqFIpEIL3nm01H23/do14uvE8bCzW1x91VX1IU/2E4IEUsKj/ngBVdu7kTHBgAAAAAAc4qQ7gFAVqo/5jMn930glRfzf7JQeODhZ7cfda59n6Uk7sxIhvHhgad/9OT6OKtgjqGU0ku+lmQDm9ejKEokEnG73TabjRDicrmSz7gVDodzDluR7FYtzWgIc05ra2vy9JkzDGPv3r1xVzHGtm3bNombjkQiFmfahKz21pe+wzR9cvva6hedPPTuks8cOtH0uX3P3udLV+0595tx02chx1W/5ZnF/35EL87z+XyRSIQQYrfbzU0fbz/wjG0HnNbzm7+Ed7fGTZ9r/vVgzUv38/S5/K4bT2v+N9JnAAAAAAAYFyqgYZJsDvtpTW9teeSpvZdeQz6NUQYffCrJLm2XXTf02IuH/emXkoQn3pxWc8rprb+9nQb8satY9Tyhv5eVlPGeLYIgRCIRSZJkWU4yIaGiKILDnuQWc088fOrDhllm586dum41GfT74zxdDcNobGyc9AC6u7vLy8snvTtkvu6mPSMvvDWJHaXyooP+9efS6sqJ7uj3jLxzxmXhrTvirBNo2TcvLjz/jFAoNHqSTEEQ7LKy44SLjcFxGj0TQlqPPo8QIhYXHPb2k8XlZRMdHgAAAAAAzE2ogIYpOWDdGce2vWNbUWdxe9+Lb7w8//Dh3r6Ujgoyn/GL38VdTtta6P/+MPLv1wkhpmkKgsCnw0pSAe2Q5Oar7xh++e0kN7ff9clqrmEOam5utp4+c7HzYU4lfSaETLoCOhAI9PT07Nixo6GhYdu2bQ0NDa2trVY6UMNMYoxtOv6yie4l5ufs98q9n9396kTTZ8bY+398+PWFR8ZJnwWh8par9nnvGftZx0dLngkhlFKXyxV86pWGgz9nJX3mSr572el730b6DAAAAAAA1qEQFaYqJz/vpLee3P7Sa41nWcr4WDC0oe7Ygz5+qQhfX+ewykW1PYnXGromE8LT5+THoZS2/eTekfVvJt+s590Pc09aM/FhwuzU2to6bmPxWKFQiPeE4fr74/QxnxCLc2xGMca6urr41Ihjlnu9Xq/XKwhCbW0tZnzNEN2790a6J/AkcR15wL6/+2Hp/JpJtHv2DA69e+IF+u7W2FUVP/xmwenHBoNB3uU5yuFweJ58ee9PfmP9VsSi/IPf+HvZvJqJDg8AAAAAAOY4VEDDNKCULj/xLHrPJAAAIABJREFUmBN7tzjXHGJxl3f3PdHTP5DSUUEmUxTFyC9ItNb21mumaeq6Hk3o/H6/y+WKu7HotMVdPlrT9XdObpww+5imOSaJs2hM76CeniTnUCwpLCy0vnF7e3tDQ0Ns+jyaaZo7d+5EKXSG6PnYaoF86bWXHtf5xnEv3V+2YN4k0ueGJ9f/e8nRcdPnfd5/tuD0Y/1+f7TqWRRFp9Opv/L2rpMv7ZxI+lz8vS+fuvstpM8AAAAAADAJqICGaeNwOo9/9oHtGzY2Hn/h+Fsz9s7hZx3f+M9JfNmG2cH2f3/QLzwr7io6NMAYC4VCjDFFUXgdNGOMUjqmawFjrOLqi4NNbSNvbUlyW6GGZp9nxJWbM43jhyw16b4ZTqcz+nNsO45Ybrc7SdJNKbX47meaZmNjo/V+HU1NTYsXL55oeTVMOzVvnNn5xMLcJQ/dtviwg0Qp2SSrSTDGNnz9Os8jzye4AaHxuAvmPfN7h8MRCAQURZEkqensK8PNcaLqZCTxkC3PVSxaOLlBAgAAAAAAoAIaphOldPnhh5zpa7QfvP+4Gxv9Q+0fb5+BUUFmKquZrx90RKK1oii6JVFRlGjhnt/vdzgcsVsGAoGa31y7csvfxVwXVRI2H9j2wGNTHzNkO8ZYoiRXFEW7PeFUlmPy4o6OjnFvK3md9eLFi8c9Aj/I9u3bJ9otuqmpaULbQyos+8yhBeefSv77NAOVJWV+xZIX7j7Nu+W0tjeWHXXopNNnXddfrD44Sfq8+Im7l/7jT+H+oW0HnNZy3EU7DvrctgNOm2j6XPmrGz7naUD6DAAAAAAAU4EKaJh+lNKTXvv7zk3vbTvpYhZMdjF4uBddOOa0qptv6zn5CBIbrg300wvPJIQw1ea85+FokCcI8c+Z6bquE7Ls9T8qitL1fw923xMna+645leBS85xuN3TeQcg23R3dydaZRhGksbQVVVVo/85bnfy5BRFGbdTM2Osra1tct1CeM6O60vSi1L6md//hP3ux+1NzZQxUZbzy0tHtxGfNMZY4/Mv77nge4k2yPvSaZXfucz//rZdZ32NRAxCiBkcv2Z/DHV57ZEvP5STlzelsQIAAAAAAKACGlJnyepVp3RsyvvCqXHXOo85bME9P6k95sgZHhVkFMVmYz/4aZINzCuuIoSoqspTm+R1oJFIJBAIVH77gkQbvH7cJUM9fbquT3a8kPUCgcAk9hIEISdn2vq3iKJYW1s77mYtLS2TS58ho1BKqxcvqlpSW75g3rSkz30tba8ccFKS9JkQ4n3pzW0HnLb30mt5+jwh7s8dTxR5+bN/OGXTeqTPAAAAAAAwLVABDSmkqOrae29v/95X3z34TKJHRq8yvb75J65N18Agc1SvPa7lL38QW5rjrqX7rSKE8G62lNJQKMSbmSY5oK7rOZ85cOT1zbGrck4+8p/zjyWECLku0eUQHDZb3YLydScXrKovrCgbtyIVZoGJ9rLgli5dOl0DkGV58eLF49Ymd3Z2+v3+qdwQyp9nH8bYhv+53vPwc3HX5nzptJGHnuE/G/3JJqtMTqmpOLV7i6KihzgAAAAAAEwbBNCQclVLl1QMfrTx3r90XfWfWtfgu1v/ufCIZS/cv/CA8btFwyxGKc37xd3ec06Iv/Yn15EbbyOEMMbC4bBpmqqqJj+gZLIE6fMRPT+7j/9senymx0cICe9q9TzzOl+o1JQvfuCWpYeunvR9gcwnSVI4nKwvUKwFCxbE9n4pLy+30gZ6DFVVrdQ+9/f3Dw1NPkAkhExjvTZkiP6u7s2Hn216EhbFR9PnROwH7Zd30VldX7sp0QZiYd6Rm54tKC2Z/CgBALJKoKWj781NljalNG+/ZXKOK8UjAgAAmLUQQMNMEATh0K9cGL7w3H+eelFgw5ZPlkaMxuMu6DhlzeEP3JGoty/MBXlFRUPrLpQe+VPsKrp7p2GagiBEyznD4bAkSdGZCcdwuVzvLTst7irDGyBJi1+11q5tay/bRuniZ+7c99ijJnYfIEvMmzevoaHB+vY1NTVxp77Mzc2daABdWVmZZ6Ghgd/v7+npSbTWZrNJkuTz+ZIfZEzHashqjLGtjz/b8dUbJrm/JM1/8reS3dZ0/EXBd7cm2mr+I3euPOV4FM4DwJzS/MDjH/3gF1a2FBR5zct/LjrsgFQPCQAAYLZC6gczR1XVE19+eOX7zwqjyge86//5YvHKD59+wTTNNI4N0mvB5d9gcvwrvsWLz2KmaRiG0+l0Op12u90wJtzVtPArZ/nf3DL+doQQxnZ99n+esO/fsrVhcu0aIJNRSkVRtLKlIAhLly51J5i1klJqvS+H0+msr6+3kj7rur53795Eayml/GSM2+222+2JNisuLkaMODsYhvHhY8+8ULRiEumzVF684NG7jul8t/7F+1s+9/WmYy8gCf7IOo848NShjw449QQ8bQAAAAAAIEVQAQ0zbcGSJQu63tvywN/2fv0/FwJ3XHJNh3rjPk/fU33gCnwHnpvcDz3j+/yJcVcJF59F//QkIUQQBMYYpTRuNCzLst/vr/nR11tv/M2YVWziM3G9d/AXWi4/58jbr6Moz59dli5dumPHjuSnMQoKCsrLy5MfR5Kk+vr6zs7O4eFhEtNdmsfEpaWlvIO5FaZp7ty5M8kGLpeLDzsYDCa6CECW5ZIStFDIehFd3/bwkx1X/WQyO4vCse0bFUUZGRr+18qTjZ7+2E2EHJe6z+Lw9uYVrzw4f9mSqQ4XACA7SQ67vbzYypZUkamML84AMKfpEbPHE4xdPjQc8puBMVU+Lpuc58ScIvBf8HcU0uOAi85devapGy77nvfZ1z5ZFNY+PvGippXLD3riHldO/KpDmMXyi4sDv/2z+bUL4q6lXzuf/fYv/GeHwxG3BYGiKDabTS8pHLtCEocefmESQ+r/3aPPv/LOce89YT1D5DRNCwaDgiDYbDbMbZhpKKXLli0bGBjo6emJTY2LioomVEFcUVFRUVExLQNrbGxMvoHXm7D/b5Su68FgMEl9NGQ40zQbHn6y9ds/JQnOMYxLKimSJGnL//2h+5ZfJ7yVEV/h6ccd+NLF6H8FAHOZGQpqfX1WthQUmU32bRkAYHbo9YR+8Nf3LW583P4V5x21MKXjgayDABrSxulyHfe3uzt27Np87JeMQQ9fGHq/4Y2FRyx+6veLjzgkvcODmVdZV7/7sv9R7r0rzjq/j324hey3kpc/u91un88ny7Kmaf/ZxO9XA9ruy380ZlcxP8fom+SUbuGmthcWHHvK3lclCzmypmnNzc2xpbWCIBQXFxcVFU1uDJAKhYWFhYWFjDHDMAzDEEVRktL5B1HX9elq+dLc3FxXV4dgMRt1NO3++LQvGz0DsauKv3KuUrfISk101Z//9+Xlxxh9g4k2KLj8iwf/6Ht2Z5zm5gAAAAAAAKmAABrSrHLp4orWjVtf/ufuM6/4ZBEju07/asuyhWveeMxit1aYNRZ+8cI92z+W//3P2FXCHbfov7xXzC8wDEOSJEmSDMOw2WyhUCi6jVxSELuj0TeUt+6E4Ude+u/DUWJayvuMQc8/Djr75PefTr5Zb29vX4IiGtM0e3p64s4sJ4qiw+Gorq5G55m0oJTy51K6B0Kampqm8Wh+vz9R92rITLquv/XZi4KbPo67dvnmpwb/9pyljhyU7j3uokQr1eW1R7/2NyeeGwAAAAAwcYoUr8aFMRLzZVYU8PUWxkr/t24ASun+x6/dz9e46aFH2y+/kTBGCNEam18qXXXQ1heKKsbpxAqzCaV0wS0/b/3cccJwnJpl+arL2JnnSmesY4yZpmma5phTFD6fb8XmRz44cN3YHUtjgmmTld7wlaovncoYMzw+Kc8dbu1quuKW0O722NsNNe596+qfHfG/1yQadjgcTpQ+J2cYhtfrbWhoIIRUV1e73e7sSqIZY0NDQ93d3WOqdwVBWLx4cSYEu9liemdh7e3tRQCdgUzT7OrqGhkZGfNwM9NsPfq8JDs2HHiG1dtIUEcvuOyr3n6qeuF8q8cBAAAAAPgvzNTjzKPDZ2kas9A0pvPbDcwOuEQXMgWl9KDzPn/q4Nb8L572ySLG3t33xK5du9M6LphplNLiPz/JEhS/0+ceZ4P9hBCHwyFJkiAIbrd7dAxNHerK9x+l6n91be678+GiK84ZcyhlXnlE0ymlYq6LECJWFO/z/N2JRtV718ODXXFKmLnm5mYL92wcbW1tDQ0NsWFuxmpvb29oaOjq6oodsGmaO3bsaGhoCIfDaRnbHJeXl5fuIcAnGGPBYLCpqWnbtm3bt28fHh6OPdnQfubXp3gr6opl1K7GXUXt6rLn/3hGzwdInwEAAABg0hghQc2I/S+km7ELIwigIQYCaMgsiqKs+cPPj97zpnPNJz2g3z/0c6FgnLlWYRZzuN2uh56Nv07Xhau+THxexpjNZiOEMMZkWVZV1Waz8SWiw7Zq6+O5aw4avV//3Y/mnHzk6CVtl908/MJblFLfxo8opbIst//igSSjeu/LNyRaNY3lqwMDAw0NDcPDw9N1wFQwTbOhocHj8STfjDHW1NTU398/M6OCKJfLle4hAAmFQrt27WpoaGhubk5yJsbzpyfNoXFeSsnI8rJn/+A+bBULxrmJ8hv/5/TeD5Z/5vDJHx8AAAAAAGDKEEBDJiooKTnhuT8dsvUFeWE1YWTns/9I94hgphWUlrr+/mKitcKVFxr3/ErTNF3XeRtfWZYppaFQ6JM5ALs6Fv3mujF7eV9+u/TaS0cvafn+Lzcv/ezOi65v/MoPt196Y/cfHk8yJO+rG7XQDNXzdnR0NDY2Zmb5MGNs+/bt1su0e3p6xo2qobCwcLoOpSiKqsYvhoWZ0dvb29DQsHv37tGzpMZlDA4P3/dokg2UhdWL19+baG3+V889tnVD1YEr+n/70JhVeRd+7sS+9w/9/pWYjhIAAAAAANIODTohc1UsWli+9eVdb71TsXLfdI8F0iC/uJg8/JzvC6fGXStveJ1d8jUmSYQQSmkwGLTZbG63m/l8RFG8rhxJ01Y1PvPestOiuzA90nPrfWKuu/Sai3t/9VCkeyC6yvf6e4QQalNYKFlg5B0YLKyM05ScUjrtfTMMw2hqasrJyamuriaE+Hy+gYEBxpjdbi8uLk5jqDSJ6fLa29tzcnKyq731DCsrKxMEwUoncafTGQgEkjzfFi5cOK1DA6tM09yzZ8/oaVHH1X7m15JvoDW37TrlstjleReeueLm7zg+7fS9/MX7Ox9+1vD6bHWLxKKC5Wedkjd9pzQAAAAAAACmCAE0ZDRK6ZIjDyWEmKY5bikZzD75ZeX07y+OrDuZsjg9Luhl64ii+v/vPqfTabPZeAqsK4rS0eaqqCKEMMZWNT6z7aQrQns6onsZHm/ntXcSQvLOPpYSOvTYy9FVydNnQggx46d+NTU1LS0tE79/4xsZGdm2bdvoJX6/nze1oJTyeQtTcbuJ6Lo+uVeix+NBY+LkSkpKiouL+YyUSSRPnxcsWCAm6J8OKbVjx45IJDKhXTou+B6Z+Hkr14lHHfSH22wOx+iF81cfMH/1AYQQVVVxpgcAAAAAADINLsyE7CAIgs1mUxRl/E1hdskrLq58+Z1I7bK4a6kWdn3tPOO5x4lpEEIopYqikMpqSqmmaX6/nxCy5Jk76x6/gyrymH2HH3tl6LGXqdNeecd3ibXIJqekKO7yybXcpZROJSpijLW2tm7bts1K2ex06e3tndyOnZ2d0zuSWcnn8427TZL0uaKiwvHfuSSkWiQSaWxs3LZt20TT58jAcGRvx/jbfYoqcvmPv31c9+ajHrrLFu9R5n3wkT4DAAAAAEAGQgAN2YTH0JKEyv25RRTFBX94KHLx1xNtID36oHDJOey9d0KhUDSeU1XV7XZrmiaKojmvbP/3/17/3K/lkoIx+zJ/sOPbv8g55Uh12YLkwyj44kmymvAUyIIF4+weS5Zlp9PpdrunGBr29vZOqCnzVEy6m/PMDC/btbW1TXrf2tra/Pz8aRwMJKdpWmNj444dOz7pOz8RI4+s7xiv+UaUsmR+3St/ObFz08orLpTlsSfSCKJnAAAAAADIeAjyIPtIkiRJUiQSmWjFGWS1BRdcMnDsCb7LzxO8I3E3EO68TTzs6IgoSpd+nWcxmqapqhoOh2VZDoVCrKyg7tU/yLJMDHPnpTdWfOu8jl/8ybd5GyFk5Lk3CCFlN321++bfJxqA4LQnGZ7D4SgtLe3p6bF+jzRN4+0s3G63y+WyUv2aiGmaDQ0NixcvztirBDAT2rgYY5OL6Smly5Ytw294xmia1tzcnCh3ttvtkiR5vd74O5tm+7pvGT39496KWFZc9rUvLfjCGTkFCc8rKIqCxx0AAAAAADIfAmjIVjyGNgxD1/V0jwVmSGFFZd4TL+/9zR3KU4/E3UDZ8C9CCHnzVVa71LzuJzyNVRQlWhvIGKOEdD/4XGhPR/tP7/Vv3Tl69+6bf+88YqXp9Qc/3EliOOsWJR9eUVGRIAhdXV0TvFvE6/VOS9/eXbt21dTUpLQrtKIo4XB4Ejva7cnie5i0iooKFD7PpObm5mAwmGSDRGsppVVVVW/VfoYYcTraRwn5OaXf+3LtutNcublJipoRPQMAzCTGWPNvH2j/6+MWt192/bdspcUpHRIAAEB2QQAN2U0URUEQDMNANfQcIUrSom9e3X3iadrXzqdmwhyHNu0QLzmbEGK63JHrb5XLKwkhxDQj3Z3SPb8qa28NHL9m8C/rY3f0v/U+EYXqe25o+8ot/3VAh22/S9eNO7yCggK3271zZ5z8OrlJXMUfV2tra1VVVW5u7rQcLVZZWdnkplssLy+f9sHMMrwnuPUiaKfTOW/ePDRemDEDAwPd3d2T2JFSWltbqyjKQGdX/PRZEIqvu6LqlGOK5lfL413EgGkGAQDSovfVN81gwOLGtd+8jCCABgAAGAUBNGQ9SimvhjZNkzc0gFmvbOky9sq7e792kdT4cfItBZ9XuebK6D/lPz4a/O5N9m9dsnD3KyNlhZHugTj7GGbbV25xHLSP3jOgt3QRQXAfvmLN83+w2HxcluX6+vqWlpaptNSYivb2dqfTmaJW6S6Xa0IhKSdJkqqqqRjPLLNs2bLt27cn34ZSWl1dndI6dxiDMdbQ0DCJHQVBWLp0abRUubCifMV7z3iGhozBESKL7uKisoXzrb80ED0DAAAAAECWQgANswefohAx9BxBKV1w95+6mndr371CGIqXI8f15XMdhhE++niTirVX7N94/o8TbRh492NCyHG9b00u6Zs3bx4hpK2tbWQkfsfqlNq5c+fy5ctTdPDa2tpdu3ZZ355SunTp0hQNZpYRBKG+vn5kZKS/v390JwdKqaIoxcXFqatth0R6e3v7+vomupfD4Yg7MWnF/HkV8+dN6FD80Uf0DACQXu7aGkGy2jCt86+PUmsbC7IssvHbCTLGgsGQsWpl6WdPsTgGAACAjIIAGmYbHkPzphyTm9ELskj5wkXs8Zfa33qd3XIt1cc/8UANgxCibPjXtuHK4K3Pjru9Y2qdi6urqwkhhmF0dXV5vd7oEzLVz0zGWHd3d1lZWSoOrijKvHnzLDbiEEUR6fNE5eTk5OTkpHsUQIiFjs9jSJJUXl4+XQ+fIAgZO60oAMBc49/Tyiy34DAHejVrJy+l/DwlOGzxsLLPiwAaAACyFAJomJ1EURRFEdXQcwGltPrIoyPPv9n9z1eM3/xc8Iz/IZ5qWl2t/sFepzniT7KZXFkiTMfcgKIoVlVVjV5immZbW1tKe3QMDAykKIAmhLhcrrq6usbGxuRJemlpaVFRUYrGAJBqTU1N1qfcLC4uLi4unq46ZVEUJUlC1TMAAAAAAMwOCKBhNuPV0IwxXdfNxBPWwSwgSVLVcSeyY08I+nzdb/1LeOiPYkdrku3FzvZ9Lz7yw1/9M9EGSm3N8ZseS1EAJAjCvHnzTNNsbW31+5OF4FPR2tpaU1OTooMLgrB8+fJIJNLT0+PxeEYn0bIsV1RUOJ1OxGeQvbxe77jpM6W0oqLC5XJNY8t1SZJEUcRrBwAgq9lKi2SXpavoRIc9sttqBfTsZgz0aO9vINYuExQr5in1q1I9JLBKD7CBrVY3thfR3NpUjmaaRUw2ENIZsfTMlCgttCnp/RxnmGxHrzegWZ3ifr+KXEUSUjokAA4BNMx+vIEmY4z35Uj3cCCFKKUOt3vhSZ8lJ33WNIzOxkZ25QWJNlY2vrns0R83nnP9fx1BEEq+e8H8L362YsmiVGdAgiDMnz+fnyDZs2fPtD85vV7v9B4wliRJlZWVlZWVqb4hgBkWCoUSrXK5XFVVVeJ0XB4xmqIo0ekKAQBmAGMsGAwODQ0FAgG73Z6fn+9wOHACbFro/f3WW3BM85+TrBXpbPHefzsxLaVmts+cigA6g+gesvdpqxsXrSBZFUBrhtkyEjStNVC0iUKhTSYknW+kJmP/bh7oGkn4UXaMJSUuBNAwMxBAw1xBKZUkSZIkwzB0ffy5PiDbCaJYVV/PXtvc/OTf5V//grI4JfDu23+48p0HKuvqKaWyLM/8IMmnJ0gSNUretm1bkn0FQVBVNUmP2p6entLS0qkOEWDuKS4uLioqGhkZCYfDNpvNZrOlrh2zqqpIfABg5m3atOmBBx4YGBgIhUKqqubn53/hC184+uij0z0uAAAAmIUQQMOcg/bQcwqldNHn1hmnn93x7zfY/90qDA2M2UD81mWBx/6RV1iYluFNkWmayWdIS11/D4BZj1Kam5ub0uOrqpq64wMAJPHyyy/fddddkiQdeOCBOTk5Xq/33XffveOOO4aHh0877TRckDFFUo6LmJaubBPdbkm1dA7SZEyw26Y2roxGJUnMy7dYAS3YpjRPOEw3SmSn1W2F9E+wzBgJRKx2qAgb2dfJUxKoIlgtbtjd41OtVUB7fJpTjRMhMtOkMX81ZBF/R2AsBNAwR6E99JwiimLNUWvIUWv6OjtG7v+dtGWjMPhJEk0JGTn/DPvj/1DtmfhBVpKkqbTmMAyrH60AYMZgjkEASC/G2H333ScIwjXXXLN69Wq+sLW19Vvf+tYjjzxy2GGHlZSUpHeE2c70+4zhIStbUspIwGNlS4EQqlmdGjcbUWYKms9iAE0ZCokyjGm14QMhmdASk3X4LT+FWPJp1zMOY8Tj1/u9Vu/gw2/v9YUsPSh5NnnIa/VdKKRlwgMNmQUBNMxpaA891xRXVBb/4BZCiKZpQY9nZPM7kZERqiqe3p6SefPTPbo4qqur9+zZM+ndp71NLQBMBRo9A0AmeOqppwKBQG1t7QEHHBA9GVZdXb169ep33nnn3//+95lnnpneEUICWRWDpRZ+FQAzzeJMjACJIIAG+E97aPTlmDsURVGKi3NP+uxM3qhpmhPNnhwOhyzLk+5anrqutQBgnSAIsiyj5BkAMoFpmo8++igh5JxzzpGk/3wZFARhzZo177zzztNPP33GGWfMhbcsKoqCzdInJUGWKKVpj16YrmudHRY3ppRYnwmNSiKxfNmcWFJKBUslDiyim0P9//nn0BAhhCmKEY7TI84csVQzDmOwsJcYlkvjqUCYSUNewYgQQmiIMZrwuwm155PEayfPjLDwsNWNKU30LKaRoGBoRBfYp70mqOggQkom9aGUWCyCngNvnACThwAa4D94Xw5CiKZp6MsBFvGLsqx8T+vq6jIMY9GiRRMKlJcsWdLQ0DC5S7+KioomsRcATBd+djPdowAA+A+/388/h9TX149ZtWTJEkLI4OBgIBBwOi13dM1agkgl1VKQKkgipen/aqA1NzWdc4bFjSVZEBWrYZg6v8boshptVz20XszJs7Kl0dMxdOOXo//kn2bDhGjxPjYLNpuQXZ0OMgPb/jjpfM/q1o58Eh5xRX/PSU+r0M/8kNgsPdATE+ggjb+1urGaS2j8+jCVMIURMjjquVR5GnEtsnJURohuvbMzJRGTmNaenFnYLxpg5uBLEUAcvG40EomgLweMizHW3t6el5cXiUQKCgqSbFlZWUkImUQ5c11d3c6dOyf6bJRlmZ9QAYAZhgkGASBjBQIBngO6XK4xq9xuN/9hZGQkNoDu7Oz86KOPxiz0+XyEEE3TwuGMaE88oU9Zpq4b/mSTOf9nS1kSnROorLReNzChCgMzEmFer8WNDYVSxWr5qhkImH6rR9ZCYUG19HAb4RAL+GKXx73PbCIl5oZhpuspZ5omYyxDnvCEEFELCRFLT2NCCNNtNBK0eF4irIUJtXQ3qaZZf3kw06Cm1d8eM8JUiB9AU17hP+pZo2th09rjYk7khcdMZliMnwmJmGY4HLZ4BUl0tp7pnZVKN0yTTeBoKXq/Mgwjc14myUUfCNNM2xvLuPiV+lnWjzwGAmiAhHjlGiYqhEQMwxBFURCEmpqalN4QpXTp0qVDQ0OdnZ3W91q8eHHqhgQAcYmiKMspufwTAGBaaJrGGIvbkj769hUMxsmzPvjggxtvvHHMQj5dod/v91oORlMq7sgTMax/vJ9g69MJZAQTCqANM0XX90/om47P57PagsMfp9VGwo0ZYQnbLYyl65qW1qdchjzhCSHOiG79jDdjzPpTyO/zmZqlB1oM+61XSk9oDIxMYONgMKiZlh4XRgihVuefn9hZItP0+nwTfZ0GAoEJ7pGMbjBjIpXYEwigJ/JGoWl65rxMLIpEIhk75lAoRBBAA8x6fKJCQgifqDDbX/MwXbq6unRdd7vd+fn5M3OL+fn5+fn57e3tHs84s6VTSpcsWTIXujcCZAhBECRJwgSDAJD5+MeDuIFj9FNu9n6EKDr2sKO2PmVx4wndy4zYmFJq/ZsIndiRJxCFu9xWj1pSSW653/ogJpCvK7jM6BOBhacH5p1sdWtKrc/fyGSrD7ShFAxWX2Z1DBMxod7rTJjAs6KYWS4bJ6RMg5vxAAAgAElEQVQ4q55ukkA+v2+BOYGzYBM4w2aYFRa3tEmWzl7AnIIAGsAqURRFUWSMRSIRw/I0HTDLMMba2toIIYqiVFVVzXzeVFVVVVVVFQ6H+/r6YpNoSml1dbXL5crer44A2QVdngEgu9hsNkqpruv8Qq7Rq6L9K2K7cxBC9t133+uvv37MwkAgcMcddzgcjri7pIHLRYoLRy/QdZ1fUq0oSvZOzmyaZiAQsNls2fcXJ/c/pbG8YYskSVndI45X2dvtVutnU29iLz3GWDAY5KegHA7H9H2XyZ2m41ilaZqu6w6HI3u/9YTDYf6ua7fbx7wbT5HVUwfTxOfzTetzaaYZhsFf16IoZtJL+7/wZ0j2Ptu5bPsDBpBulFJZlmVZNk2TN+KBuUPXdb/fX11d3dbWVlJSEv0ra5pmT0+PYRgulys3N3cG/jCoqsqTaDIr6pUAso4gCLIs40UHAFknGhMMDAzwBhpRAwMD/IdoM+jRqqurq6urxyxsaWm54447VFXN2Egx2q43q3NPwzACgYAsy1k9wQAPoKOzvmcp3sQme+8Cf0XwAFpV1enNPWeSaZqRSERV1azOPXkArShKVjdw8/l8iqJk3+mxT+m6Hg2gM/alzb/yZ/tXj2x9rQKkHf/wZLPZsvfPNkyULMt5eXmUUt70mX90a2lpaWlp4Y3CR0ZGZn7iAvqpGb5dgLmJ5yyKouBFBwDZyG63FxUVEUI2bNgwejljbMuWLYSQRYsWZew3cAAAAMhSCKABpkqWZR5GZO/ZV5gQ0zRbW1t9Pl97e/vevXt9Ph8/CSGKYk1NDb6zAcxK0ZOOyJ0BIKtRSi+77DJCyHPPPccnNeIMw3jnnXcIIevWrUvb4AAAAGCWQl4GMD0EQVAUBWVxsx5jrL29nRASiUQopX6/n1+mSinlwXS6BwgA00kUxWjJc7rHAgAwPVauXLlw4cK+vr4HHnhgeHiYMTYyMvLXv/71448/Li0tXb58eboHCAAAALNNtnZpAchYgiDw7mzRpk4wyzidTr/f7/P5/H6/w+EoKiqy2+046wCZhjHGGEvvlRmiKGbplK2CIEiShOtaAGBWopRefvnl119//fPPP//8889Hl8uyfNVVV+Xk5KRxbAAAADArIYAGSBVRFEVRZIwZhhGJRNI9HJgemqYVFBTouh4IBEzTFEVRkiTegjk6GSBAuvT394dCIT47ZVtbW1FRkcPhSMtIZFkWBCHrZmqllPLcGaeUAGB2W7Zs2V133fXqq69u3Lixra2tvLz84IMPXrt2LZ/lAgAAAGB6IYAGSC0eZ0iSxBiLRCJZWgwIUYyxzs5O/oASQrxeL6W0pKSkt7c3dmp4yBaMseHhYZ/PFz2LUFVVlWnVrwMDA4ZhlJSU8H/quj5mvmzTNEOhEG8FI8tyohDBMAyv1zsyMsL/OY1ZA2OMv+OJosjniJ+uI88APmzkzgAwd5SXl5933nnnnXdeugcCAAAAsx8CaIAZQimVZVmWZcaYruumaaZ7RDAZlFK32z08PMzn7XG73Yyxnp4e8mn6lu4BwsT09PSEQiFN08bU6ra1tZWUlNjt9pkZBs9qo88fWZZN04xEIvwSCt5JIz8/X9M0vtDr9fL+436/v6CggGfT4XB4dNufUCgky3JhYSG/F6ZpBoPB/v7+YDAYPROWn5/PbyvuuTHGmGmagiDouj40NGQYRkVFBV/OD2WaJn/a8x/4oUzTlCSJEFJeXj4mIp9GgUCgv7+/urp6ii86foJwukYFAAAAAAAAsfClC2CmUUr5ZFaoic5GPGsmhEiSxDuriKIoy3K0LhUyH2Osra0tJydHVVWeq45eSym12+2CIMxMAa9hGJTS9vb2aLvk6O3yXFjXdV6LLUlSOByWJIkvlySJnwXxeDxxhxoIBAghuq4rihKJRHRdj1YlU0oFQbDb7fxGecYdDAYJIXa73ev1ejweHiUbhsEDaFVVCwoKeOwbiURCoVDsjfLxcJTS3bt3q6rK29Tw+uLCwsJp+aX19fWFw+FJ127zu5+6cBwAAAAAAABGQwANkDaja6KRRGcLSimP5HhORwipqKhA4XNWGB4eHhkZKSsr4zlpT0+PJEmxrzun06lpWigUCofDeXl5pmnabDaHwyEIQigUEkVRUZSpV90yxgYGBjwej6ZpvILYMIxEF0bw5fyER7TG2WJn+UAgwJNozuFwRHvTh8PhUCjk8XhsNhs/IB9G3COHQqHu7m6eSlu5XX4TgUBAFEWbzSZJktvtFgRhihd/hEKhwcFBQgjvcz1RqHcGAAAAAACYefgaBpB+SKKzSFVV1dDQkCiKHo/H6XT6/f7Ozs7y8vJM6xcMhBDDMHw+XzAY1DTNNE1ePtzd3R0Oh3nDjbhJq8/n4z+Ew2Fe8C4IAp+Vjr82JUniM+zxHNkwjHFLcaMj0XXdMAxeiZyWuUlHh9FRoxt3JGI9eo6y2+3RiF9VVbvdPvU3N1EUy8rKJvRyw7yCAAAAAAAA6YUAGiCDjE6iE9UhQnpRSgsKCgghubm5pml2dHSMjIwYhpGTk5OXl9fT01NSUoKcK70YY4ODg36/PxgMjnkR8d4REz3gmOx1dMNoh8ORJH02TbOzs5Pf6Bw8scR7erjdbqfTGQ6HW1tbGWO8cjkUCvX390+iinlCfTN4rTpejwAAAAAAAOmFABogE/GSPX6pOG8Cm+4RzQatra2TbhobxRjjkWJFRYUsy9XV1a2trV6vNxQKDQ8PU0o7OzsrKirC4fDk8jVIjjHW3t5umialdOHChaPz5ehDM2YuvhThPSXKy8tj800+d197e7uu6+FwONUjyXBer9fr9SqKwnvft7S0EEIopdXV1Sm6RVVVEToDAAAAAABkDgTQAJlOFEVRFAkhpmnquj4zE6PNSlNPnzk+aduePXtUVeVzD7rdbq/Xy0NPSimfNU5V1Wm5ORiN/3rD4TCfQI+3xRBFMRwOd3Z2ejyeGRiDoiiqqvKa99HLTdMcGRnhFfGapuEKhtFGl40TQpxOZ2tra0lJid1un5bj80kFkTsDAAAAAABkIATQAFkjmmmiVXRa6Lre1dWlqmphYWEgEAgGg36/v6WlxeFwMMais6sxxvx+PyHEMIyhoaFwOFxWVpbusaeKpmkWU79gMGiz2SilmqZ1d3fHprdj6LouSRI/crTrgqZpbW1tvLFDOBxuaGjg52YKCwv7+/vjdjeeRoIg8Mn6nE4nP/FgGMbg4GAwGOTT+vE5/VI6htnE4XBM/SSNJEn8PMS0DAkAAAAAAABSAQE0QPYZ0yraMAyURc8AWZZLS0t1XXc4HLIsFxUV8UbDhBBKqdPpNE2T/5MLBAKRSMRut/t8PsaY2+1O39inxO/3h8PhgoICxlhHR0dubm70vvT09PBZGR0OR09PT01NTSQSCQaDPp/PNE3DMHJzc3Nzc30+38DAAO/Gy9tTaJo2PDw8MjKyePFi3q2CEFJaWtrd3V1VVRUIBLq7uxcsWEAI6e/vjx5N07ToeZdIJBItMdY0LdU9N2w2G8/BeR19Z2cnpTQQCCBxnhAe4vPTBrxunZ+WmOhB+KSCqRkjAAAAAAAATDME0ABZLNoqmjEWDaPTPajZTFVVRVHa2tr4P6urq/Py8oaGhvx+P//9u91unsDyDXjbAV4Z7fP5ysvL0zb0Ceru7i4pKREEoa2tjZ/eyM/PJ4SYpsnjZp4h8vTZ5/P5fD5CyO7du3VdN00zekbE5/MNDg6Gw+Exz0y/389T++bmZtM0fT6f3W7fs2ePYRhtbW2Kosiy3NzcHAqFrDSymIGOzzw9r6ysDAaDfX19sdMbQnKUUpfLRQgJBAKGYQiC4PP5VFWVZdlibxwUOwMAAAAAAGQpBNAAswFPx3gXVJ6EIh1LEUppVVUVT8H6+vp4AWwwGOQBaygUcrlcLpeLB7Kc1+slhLjdbt6tOE0Dt6q1tZUQwhjbuXNncXGxIAjDw8NutzsauxNCOjo6RFHkJcnJJ9ljjCXqjMEYG/1bihaPZ9qsfS6XS1GUsrIyPv8hz0/TPajswxjjLwTONE1+GqO2tnZ0b+gx0NkZACArRCKRjJ0xO3rJVCYPclymafI7ktUXAPEHQhCE7H0gCCGRSIQxlr13gfdyjL4oeKFMNtJ1nd+R7P2gOPqBSPdYpoTfkey9Jjv6QGTyu1PGDmxCEEADzDbRsmhCCP94lL0fLKZLV1dX9C2bMcY/phQWFvJK24keLfrRP/qDw+GQJCkSiWia5vf7VVUtKioKh8O8+QbfJhQKdXR0uN3uvLy8jP2cFIlECgsLPR6Px+MxTbOvr48/eUZHhxy/v+kY48zhvVbKyso6OztbW1vHTKMHk0ApVRRFURRKqcPhKCwsjPsrlWU580/VAABA1Nlnn53uIQAAAEBGo9l7mgIAJoSXTszZMNrv9wcCAV4ePjqM5lM7OhwOt9vNGPN4PJIkOZ3OcDgsiiLP8WNJkmSaJqWUN+DWNE0Uxc7OTr42EAg4HI6ampq2traRkZEx+7rd7pKSEj6dXYbo6OioqKgghJim6fV6vV5v7LDnFN7xmVJqmqau65lWlJ1dZFm22WyMMVmWnU5nbm5u7DaUUlEU0WEDACDrBIPBjz76KN2jSGbz5s0vvfQSIWTt2rWHHnpouoczefyTZ1b/ofzJT35CCFm+fPmZZ56Z7rFMHv8ylb2l6JFI5M9//nNXVxch5Bvf+Eb2zlLDW1Bm7wNBCHn99dffeustSunFF1+cRa0aY5mmmdUPRHt7+4MPPmgYRua/O9XV1WXva5agAhpg7hAEQVEU/nPWhdFT/8w9MDDAf+C9SvgPhBBZlnkj2u7ubkVR7HZ7b28v31jTNF7LLAiCKIqCIET/svb29gaDQT7DnmEYQ0NDmqbxwvPc3Fw+S2QwGLTZbHwCvdEj8Xq9vBdHcXGx3W6f9D2aRsXFxUNDQ7quB4PBUCg0l1tM8DbfjDG/359FL5DMoSiKqqqapvFMWVEUl8uVk5MTd2MeOmf1B1YAgDnObrcfdNBB6R5FMnv27Ono6CCE5OXlZfhQZzc+lzUhpL6+Hg9EGoXD4d/97nf8sdhvv/2Ki4vTPaK564MPPujo6KCU1tbW1tfXp3s4c5fNZuMXTNfV1eHdKaUQQAPMRdEwmjFmmqZhGJmctTHGuru7ecMHWZZ5Cwu/3y/LsiAIkiSpqko+DZQTqamp0TRNURTeSGFwcJAvj0QigUCAt3LmB+EzpPEOULyNBo/SCCG8ZQfPrA3D6Ovr6+3tjVZJM8ZCoZAoil6vl3clS/Rb1XVdFMWhoaE0BtB9fX3RT5ymaQ4PD0fnTpzLeIPITH45ZBRJkhRFibbL4J3BCSFOp7OsrCzuS5K/ZrO9hgsAAAAAAACsQwANMKdFr3wnn4bRGTiBAKU02iDCNM2BgYHRLREMw+BFzbweubW11eFw8InvBEGoqKjw+XyhUCg3N5fn1LwFrcPh8Hg8vLWxrutjan4Nw4gu4Vkk/2e0Xy2/xTF78fQttl1yLF3XdV3nM/tVVlbOfAVoZ2dnJBIZGhrKz88nhNhsNofDoShKMBic422O53L1t3X8ogFFUWw2m9vtHrd1hiRJaK8BAAAAAAAwZyGABoBPjA6jCSG8tXHaw2jGWHt7O/+BEOJ2u+12++gAOlpNGQwGg8EgY2xoaIiXMJum2dTUpKpqbm5uT08PIUQUxYqKCh4f5+fn8/g1WmHNGLMSH/NdYpPKiWaX4XBYVdX29vaampoJ7Th1PNDv7Ozkv4GWlhafzzcX5hWESeBtSfjPlFKn01lQUDDuXryFOkJnAAAAAAAAQAANAPFRSnnJMMf7EsxAHs07YPBWGLqu9/b28gbQPp+PEMIDYh4uWzygruuBQEAQBJ6uRiIRSiljjFLKGwj4/f7o/Yo29WeM8VtMnUgkoqpqGrtwVFRURCKRYDDIA32kz0AIkWVZkiTe91ySpLy8PItPUX4GK9G8nQAAAAAAADBn4YsiAFgiyzL/IdWdOkKh0MjIiK7rhJBwOMwv3h+TBU+0RS/v3cF/TnWsbJ1pmrquu1yuGbtF3qXa4/Hw2nbGGP89o+8ECILAu2pQSouKiiyGzryhM2YRBAAAAAAAgCQQQAPAxIxpGx2dxnC68min0+lwONra2ggh0RJsXrM8LcdPC94Al43idDqdTmd+fv7MVIwahtHZ2anruqZpiJuBkySJ1zvbbDaXy2W328ftmMEro/k1CjMzSAAAgKmora0955xzCCHLli1L91jmOv5A1NXVpXsgc5ooiscee2x9fT0hxGazpXs4c9ry5cvPOeccSqmV7naQOoWFhWeffXYkEsGfiVTL7kwHADIKD6N5Hj25I2ia5vF4eMZNCPH5fKPfo/jxNU3LumYRiqKoqipJUmFhIf/9mKaZk5MzAzdtGMbw8LDH4wkGgzNwc5D5HA6HIAg5OTl85slxo2R+wgllzgAAAAAAADA5CKABICX4ewufyXBCe5mm2dvbq+s635dSKsty3IzM4oSBGYL3reZJNF+iqmppaekUD2sYRnTeyFiRSGTv3r2j52yEuUmWZVVVx7yOXC5X3IIL3liDz+05UwMEAAAAAACAWQstOAAgJXh0RSkdfW2XYRi8+DfJXqIolpeX838yxgYGBkKhEN8lWmEdCoVSPPzp5HK54gZ54XBY0zRFUUYvDIVCsUFhIi0tLYFAgDdSoJQWFxc7HI4xN8G7PMMc5HQ6R5ctC4JQVFQU91pLPnkg4mYAAAAAAABIBVRAA0B6RJtHW5lRsLW1lRDidrttNhuldGhoSNd1Hmfz6RCjBdcpH/dk2e123gmaEMIYo5SWlpZGq6G53t7egYEBp9NZU1Nj5ZhdXV3Dw8P8FyiKosPhcDgcRUVFPHaklOq63tHREQwGLf6eIevwOmVJkqLNNHjHDH5uo7i4OLZAnp/miTa6AQAAAAAAAEgpBNAAkCkYYzxTTvS+FAwGfT7f6F7GiqIIghDtGKBpGu8QzaNtnrpmWvAqiqIsy7Isj16Ym5ubm5vr8/n6+/t5MmiapsvlkmV5dAE1T65H79jX1+fz+QKBQHSJ3W53u93FxcX8n7qu9/T0mKbJq6QjkUgkEgmHw6NnREzxPYbpxJ/tsiyLomi32/lzyWazJerRzBNqPnkgapwBAAAAAABg5iGABoAMxbNRHiLHfafiKbOu67quRyIRt9utKMrw8PDIyAjfoKysLBKJhEIhn89nmqbf75/Ze2CV2+3mP6iqmpubK8tyJBJRVTUUCo2MjIRCIZvNVlRUZBhGV1cXIcRms5WUlPBdvF7v0NDQmHbYqqo6HI6KiooxN2SaZiAQGBwcJISIohidK1LTNPSJzkySJPEJADmn0+l0Ovl5l0S78KCZbz+TQwUAAMg0hmFs2bKloaGBUlpXV7dy5UpJQgvKlDBNc3h4uKWlpb29fWBgwDTNsrKyfffdt7q6Onbj7u7up59+Ou5x1q5du3jx4hQPdpbr6Oh47rnn4q469thjFy1aFLvc5/Nt2bJl9+7diqLsv//+9fX1qFqYIsbYPffck2SDww8/fJ999on+c/v27W+88UbsZoIgnHrqqdEGlZCcaZo+n6+rq2vPnj2tra2MsRUrVhx88MHJd/n4448/+ugjTdNqa2tXrlzpcrkSbdzb2/v++++3t7fn5+fvv//+CxcuxCtlQvAHGAAyVLRyM7qEd+1gjEUiEUIIj9jGlBLn5eXl5eVF/6koisPhyM/PNwyDF1DzSRF5tJ0hvaSj8bHX6x0cHLTb7ZIkORwO3u2aF7r29PTwbs6MMb/f39raytt0uFyuoaEhu91OP+VyuXJzc8d0VxgeHs7Jyeno6OC/vVAohLOPGUuWZd5Pg1KqKEpJSUny+QBlWY42XZnBYQIAAGS0pqamG264YXT9gdPp/PGPfxw3gIMp+sc//vHb3/42dvnq1auvvPLK/Pz80QuHhobWr18f9zhLlixBAD1FAwMDiX69y5cvH/P8N01z8+bNt912W3TamEceeWThwoXXX399UVFRysc6qyV6FLhly5aN/mdbW1vc7SVJOuywwxBAW8EY+9nPfvbOO++MXmiz2ZIE0H19fT/96U937949evtrr712//33H1PKo+v6q6+++vvf/z5awkUIWbt27Ve/+lW73T59d2KWQwANAFkj2rV2TPWKruuJqqQJIYZhdHR0jD4I/z9jTFEUXdczKoqNVmp7PJ7owuHhYT6dI7/7iqIoiuLxeHJyciil4zaMbm1t9Xq9XV1dmdaNBDhJkvgHF0mS8vLyxswkORqvhkbvZgAAgOS6u7tvvvlmv99/xBFHnHDCCYyxV1999fXXX7/pppvuuuuuMXkoTJeVK1ceffTRRUVFlNKurq6//OUvmzZt+uEPf3j77bfH1p6vXLly3bp1YxbGXsAHk7N69eqzzjprzMLKysoxS3bs2PHzn//cNM3Pf/7z++23n67rDz/88M6dO6+99tpf/vKXSUpBYVw/+9nPYhd+/PHHDz74oCiKcVPRE044Yc2aNaOXUErnzZuXqiHOOg6HY/Xq1XV1ddXV1evXr//ggw+SbDw8PHzNNdf09fUtXbr03HPPlWX5ww8/fPzxx3/605/++Mc/Xrp06eiNX3jhhXvvvVdV1csuu2zevHmDg4P33HPPa6+91t3d/aMf/UhRlBTfs1kCATQAZL0xRdCEkGgvacaYKIpxI9ru7m6+GT8C7/URiUQ0TUsSZ6cLY2x082uXyxUMBh0OB6/sjn6PYox1d3drmsbHTyktLy93OBxerxfpcybg59JFUeS9NXipe15eXmzxMp9akG+choECAABkLcMwfv3rX3s8nqOOOuqqq67if0n32Wcf0zTffPPNW2+99dZbb8Wf1+lVX19/3333RecgIYTss88+S5Ysufrqq/fs2bN+/frTTz99zC55eXl1dXW4fitF8vPzly9fnnybUCh0yy23hMPh888//+yzz+aPxT777HPDDTc0NjY+9thjF154IR6gyaGUxv7+TdN89tlnCSHnnnuuzWaL3au0tHTcRw0SoZR+61vfiv5zw4YNybd/+umn+/r69ttvv5tuuonnCfvuu68sy3/9619//vOf33333dGQwefzPfjgg4SQq6++evXq1XzhqlWrrrrqqsbGxq1btx544IEpuUuzDhpEAsAsJIqioiiqqto+paoqj/x4NwOPx8ODZqfTmZ+f73a7CwsLHQ6HLMvFxcWFhYUFBQVut5u3tkj3vYnD5/N5vd6mpqbm5ub+/v7W1tbBwUHGmKZpXq/X5/P5/X6/3+/z+Zqbm3nTZ0gjSqksy2632+l0FhQUFBYWLly4cN68eZWVlQUFBbyoWVXVMc9YURTx9RgAAGCi+vv79+7d63A4rrzyyuhfUkmSrrrqKlmW9+7dyyfVgGlUXV09On3mampqeI3zu+++m2m1HUAI+eCDD3w+X2Fh4VlnnRX9yqOq6qWXXioIwocffohHbXppmtbY2Kiq6pFHHpnusQDZtGmTKIrr1q2LBs2U0nPOOUdV1d7e3o8++ii65TPPPBMKhaqqqkYHzU6nc82aNaZpvv766zM99KyFCmgAmBOi9aRcaWlpaWkpIUTX9XA4rGka78VBKR3dK1CSpOilZ2Mm+ssEvKhZ0zSeO/f19fEEM9rEjXxaDJ6+Mc5psiyrqkop5TXOvGUK/yaMZBkAACBF+vv7R0ZG9t9//zGXRUuStGLFis2bN3d0dFRVVaVreHMHpRTdTjLZrl27CCFr164d0+62rKyssLCwpaVF13VVVdM0ulnoww8/HBgYqK2tRX/ttAsEAq2trbm5uWMulRZF8ZRTTnniiSc+/PDDAw44gBBiGMbmzZsJIbEXBKxevfrhhx/euHFjJBLBDLdW4HcEAHOaLMuxHTz42X7TNNva2niYyzNEnuTyzh68TYc5yswPfoxIJMKnZ4SZxKfKFAQh+gP5tOS5srJSUZQxn+kBAAAgpXiBc9wOV2VlZYwxXBw2M0zTfPrppwkh++23X+xjsXv37htuuGHnzp15eXmHHHLI2rVrq6qqEOJMl507d/7gBz/YtWtXfn5+9NcbO0s5IST2ZIzD4bDb7X19ff39/bFto2FyDMO48847CSHHHXdcopbB77333rvvvrtnz56SkpJDDz306KOPrqiowFeJVGhrayOEKIoS2+i8traWjJqQSdO0UChEYuaNJITwySFDodDIyEhBQUGqxzwL4P0dAGAs/hFZFMX58+fzuJkQEolEeFOLYDDIo8bkB+ENMTRNm4kRwzSJhshcbJ0yb+HCG7xE/8/TZ/LpM2f0DwAAADDDenp6SMyc1Rzvuzo0NDTTY5qT3nrrrebm5tLS0lNPPTV2bWtra2trKyGku7v7qaeeWr9+fV1d3dVXX52TkzPjI52F9u7dy3/o6up68sknn3vuueXLl1999dVutzu6DY/YYsPQaBe4rq4uBNDTZfv27V6v1+FwjJlmcLRt27bxH9ra2tra2p5++ulVq1Z985vf5NOVwzTq6Oggn07wPmaV0+kkhESvio5+o49t2x1dMjg4iADaCgTQAADJ8MCREKIoiqIocS8kZIyFQqFAIOD3+3krD9M0edMPSmkkEsnAWQ1nt2gcPDpNjp42iK7lZFnmUTLvmIHSGwAAgKwWCAQIITabLfZ8MP8kEA6H0zCsuYQx1tbWdv/994uieMUVV/BAJ6qwsPDaa6+tq6vjWbPP53vppZdeeOGFrVu33nvvvd/+9rfTNOpZori4+Lrrrqurq+NZs9frffHFF1988cUPP/zw/vvv/8Y3vhHdUtO0MV0KuejXH/5SgmmxceNGQshJJ50Ud/rBBQsW3HzzzbW1tfzFMjQ09Mwzz7z22msbNmyoqKi44IILZnq4s53P5yOExJ3wiZ99ifa05Nc6y7Kc6A8Kwd8Uy/A1GwBgqiildrvdbrcXFhbGrjUMI/a1y88AACAASURBVBQKhUKhcDjMOzKbpmkYRrSVx+h/Rs38vchM0ZiYEDK6zUW06Fj4b6Ioyp+SJCnuZwUAAACYxXigFvcqNP4RCzMxpFpHR8f1118/PDz8/e9/f8WKFWPWlpSUlJSURP+Zk5Nz9tlnL1++/MYbb3zjjTcuuugi1BJORXl5Oe8MwOXm5n7+85+vq6u76aabXnvttfPPPz9aTyOKIv8ykuhQsY0KYdLefPNNURRXrVoVd+3ixYtH/7OwsPCiiy5asmTJbbfd9sQTT5x++um5ubkzMsy5gj+34wbH/M9ENFzmX0XjNrqMfmfH3xSLEEADAKSWKIpOp3NM6ccYjDHewVnXdV3XI6PEZtPRDtRZF1jz+DiaKfO/66OX8CoMURT5/zlJkqIL0QQNAAAAkuPhZnR+6dGreCqNmfFShzG2e/fu22+/fXh4+Iorrjj88MOt7EUpraurKyws7O7ufvvtt0855ZRUj3NOoZTW19fn5eUNDAxs3LjxxBNP5Mt5BXrsqZroHOZ8znaYurfffntwcDA3N3dM0JwEpfSQQw5xOByBQGDr1q1HHnlkSkc41/CTNLqum6Y55gtmMBgknzbiIITwi2UZY7quj+lXE33t4G+KRQigAQDS7//Zu+/4KKq9j+Nnk91seoMAQXpHWiiClCBFugTpIEUFEUQMUgW5FymXLkVRkSpdBAkSelWU3kJHeiABQknvye7O88e5zt1ndxOCsCTBz/sPX2dnzsycmWxi+Obs78hCEDqdLicVvsxXPlTnU8tCH5LF6ojWUxtkYK3G1ub5tfkum/81f6kGyuYhsjCbtiznIKv/lWW21P+q/QEAAJ4XmSykpKRYB9Cy+rO3t3fujOxlpyjKw4cPp0yZEhcXN3r06EaNGuX8WAcHhzJlykRFRcnarHi+HB0dy5YtGx0dbf545TdCdHS0Ref09HSZrBFAPxdGo3HJkiVCiN69e+v1+pwf6OjoWLp06YsXLz58+NBuo/uHKlGihPjrk8qurq7mu+7duyfMAmi55I8QIjIysmLFiuY95Xq2Go2GADqHCKABIJ+RtSbsd37r3DmrjRor9hsVAABAThQqVMjZ2Tk8PNxoNJr/yqQoyvnz53U6nXmBAjxHf/7558yZM6Ojo4cMGdKgQYOnOtZoNF67dk0IUbJkSfuM7h/NaDRevXpV/JW7ScWLFxdCHDlypFOnTuadHz9+HBMTU6RIEda+ey5u376dkJDg6enZrFmzpzrQYDBcv35dCFG0aFH7DO2fy8fHx9fXNzk5+f79+2XLllW3K4qyd+9eIUSFChXkFkdHx3Llyt26dSskJGTs2LHmJzl79qwQokqVKtYrecImPssMAPh/1PoYcp6yeR0MOU3b6S/m85pJnwEAQF7g5+f3yiuvPHz48I8//lD/am4ymXbt2hUTE+Pr62ueweG5UBTlzp07X375ZXx8fHBwcMuWLZ92tkRYWFhsbKxWq61bt66dBvlPdvLkyYSEBK1WW6dOHXVjnTp1tFrtlStXzp07p36nGI3GvXv3pqenV61alV/vn4uzZ8+mp6fXrVv3aWtq//bbb+np6TqdrkqVKnYa2z+WRqOpU6dOenr6wYMH1c8KK4py8uTJyMhIZ2fnevXqqT07d+7s4OBw5MiRyMhI9QwGg+HIkSNCiBYtWrz48edTBNAAAAAAgJeEk5NT3759hRDz58//5Zdf5Bob27ZtW7RokRBi+PDhzFZ77q5duzZmzJhHjx4NHz68adOm2fRMS0tbuXLlrVu30tPTZW23hISEZcuWzZ4922AwNG/enA+zP4vU1NTVq1eHh4fL1dUURYmPj1+8ePHcuXNNJlOrVq3MH6+Xl9eHH34ohJg5c+apU6dkOYKFCxeGhoYKITp16kQA/exMJtPPP/8shFADTWspKSnr16+PjIyUlU8URYmOjp43b578kdWjRw9ZrRvPl6w1v2nTpoULF6alpRmNxlOnTs2bN08IMWjQIPMFnPz9/WXK/J///Cc8PNxkMkVHR48fP/7MmTMeHh5ZLSwJa5r8snQVAAAAAAA5sW3btmXLlmVmZqpbtFpt//79WeDOHtavX7969WohhM3IsmLFilOnTtVqtUKIlJSUHj16WPdxdnZu0KBB//79PTw87D3al1hycnLPnj2tt7u4uDRs2LBfv37u7u7m2w0Gw4oVK7Zs2WK+YIy3t/enn35aq1Ytuw/3H+DQoUMzZszw8PBYtmxZVgWgExMTe/XqZb3d3d29WbNmvXr1ohZKDl24cGHcuHGybV40Uja+/vpriwo/x44d++677+TaAJKjo2NQUFCvXr0s/k4ZExOzYMGC48ePmyeopUuXHjFiBB+pyTlqQAMAAAAAXirt2rVr2bLl+vXrd+3aJYRo1apV586dnZ2dc3tcLycHBweZL2e1V227urouW7bs+PHjx44du3nzZlpaWunSpRs3btykSROLbBR/g5ub29KlS9XHm5GRoT5e8xmdKvlXmaCgoA0bNhw8eNDV1fXtt99u06aNo6Pjix/8y8dkMu3du1er1fbt2zeb5Qc9PDwWLlx47NixEydOhIeHZ2Zmli9fvmnTpg0bNiR6flpP9datV69e7dq1t2/fHhoampqaGhgY2LlzZz8/P+uevr6+48aNu3r16saNG8+cOVOsWLGOHTs2aNDAriszvXyYAQ0AAAAAAAAAsAvSegAAAAAAAACAXRBAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAA4H/u3btXvHhx3V+ioqKy6bxp0ya1Z48ePbI/89mzZ2VPvV6fkpKSfeeff/5ZZ8XLy+vNN9+cM2fOzZs3MzIyFEV56tsDgBeLABoAAAAAAOD/MZgZP358Vjmv0WgMDg5WexqNxmzOaTKZ3n//fdkzIyNj0aJF2Y/BZDIZrCQkJOzbt2/EiBGVK1fu0qVLTEzM379JAHghCKABAAAAAABs8PLyEkL8+uuvCQkJNjucOHEiMjJSq9U6OTk98Ww3bty4fPmyEMLFxUUIsWnTpoyMjJwMY+3atYqiKIpiMpkyMzPPnj3brl07RVG2bNnStm3b5OTkp7glAHjhCKABAAAAAABs6NSpU4kSJcLDw69cuWKzQ2hoqBCia9euhQsXfuLZfv/997S0NL1ev2rVKiHEyZMnHz9+nJNhaDQataHVaqtXr75p06ZWrVoJIY4fP7527doc3g4A5Aptbg8AAAAAAAAgL3J2dg4MDFyzZs3q1avr1q1rsVdRlK1btzo4OHTt2vXQoUPZn0pRlKVLlwohunbt+sYbbxQvXjwiImL16tWjR4/+GwPT6XTjx4/funWrEOL48eMDBgx42jM8evTo9OnTt27dSk5OdnV1LVCgQOnSpcuWLevj46Pm3Rbjv3fv3oULF65fv56enu7t7V2sWLEKFSoUL17c0dHRun9iYuLp06cvXbqUkZFRrFixGjVqlClTxsHhyfMgMzIywsLCLly4EBcXV7ly5bZt25rvNRgMZ8+evXz58qNHj7y8vKpWrVq9enVnZ+envX0ALxIBNAAAAAAAgA0ajaZHjx5r1qyZP3/+tGnT3NzczPdevHjx/Pnz3t7e9evXf+Kp/vzzzyNHjgghmjZt6uvrW7Vq1YiIiM8++yw4OPjv5adVq1aVjbt37z7VgZmZmZMnT548ebL1Licnp1OnTqlnlhRFSUxM7NWrl8y7LbRt23bbtm3mWwwGw5IlSz7++GOTyWS+vVmzZiEhIZ6enhYBd1hYWGBgYHp6+uPHj8PDw9944434+Hi5q3fv3moArSjKwYMHW7VqlZqaan64v7//nj17KleunJN0G0CuIIAGAAAAAACw7c033yxQoEB0dPTKlSs/+ugjdbvJZBo8eLAQ4o033nhi/Q1FUSZOnCjbb731loODw5AhQ3bs2CGE2LJlS9euXf/GwNS81WAw5PyotLS0bt26bdmyRavV9u/fv06dOnq9PjMz8+HDhyEhIWfPnrU+ZO/evT179oyOjtbr9QMHDqxevbqTk1NiYuKZM2d+/PFHi85JSUkDBgxYt26dEKJ9+/ZBQUFOTk5Xrlz58ssv9+/fX7Fixc2bN9erV8/8EEVRMjMzDQbDrl27Pv74Yw8Pj7Fjx/r7+2dkZKiLOmZmZn722WcLFixIS0tr3Lhxly5dvL29k5KSQkJC9u7dW7du3W+//fa9997L+XMA8CIRQAMAAAAAANjm7Oz8+eefjxgxYvv27QMHDlRj34iIiDNnzmg0mpkzZ9qsWWEuJibmxIkTQohevXoVKlRICNGqVSs/P79Hjx7t3Lnz7wXQt2/flg15whw6cuTIzp079Xr9nj17AgMDzXeNGTMmLCzMz8/PfGN4eHjnzp0TExOrV6++Z88ei2tNnz59165d5ltWrFixbt06vV4/YcKEzz77TH0yQ4YMqV+//u3bt3v37h0WFubu7m49tu7du7du3Xrz5s3WKzr+9NNPX3/9tU6nmzRp0ueff64W/Rg0aNDo0aO//PLL999/v1atWtWrV8/5owDwwvDxBAAAAAAAgCy1adPGw8PjwIED5sUfjh49mpSUVK9evfLlyz/xDJcuXQoPDxdCTJkyRW5xdHQcMWKEECIkJESd55tziqLMmjVLtgMCAnJ+4J9//pmZmdmgQQOL9FmqWbOm+Wxug8EwaNCgxMREIcSGDRusk25fX9+ePXuqL6OiokaOHCmEaN269ejRo81zeX9//6+++koIcf369UmTJmU1vAULFlinzykpKUOGDDEaje++++6//vUv85LTGo1mypQpr732mhBi5syZiqI8+REAeOEIoAEAAAAAALJUqlSpsmXLJiYmrl27Vt24YsUKRVFatWr1xOnPiqL85z//MZlMtWrVKlKkiLr9jTfecHZ2jouLW7FiRc4HYzKZ7t+/P2/ePFnmokaNGv369cv54TJDT0xMzElWGxUVFRYWJoQYNmxYhQoVsu+sKMr69evT0tKEEMHBwdYVmdu0aSNv/8CBA7KbhU6dOpUqVcp6+7Jly2RV6IEDB1o/bScnp/HjxwshDh8+/DeifAAvAAE0AAAAAABAllxcXPr27SuEGDhwoCy4fO/ePVnBuVOnTk88PDw8fPfu3UKImjVrmk/vDQgI8PHxEUKMGDEiMzMzmzP06tVLp9PpdDqtVuvo6Fi0aNHhw4cnJSXVrFnz4MGDvr6+Ob+XokWLCiFOnjz5+eefGwwGRVGySaLv37//8OFDIcTw4cNzcvJTp07JRuPGja33Ojk5DR06VAgRERGhLjNoTk4Jt2AymbZs2SLbWVXYKF26tLOz861btzIyMnIyTgAvGDWgAQAAAAAAstOvX79x48alpqb+8ccfTZo0mTFjhhCiSpUqVapUeeKxS5culY3g4GDzCbzOzs5Dhw4dM2ZMSkrKqVOnXn/99azOYDKZTCaTxcZq1apt377dZjHlbDRq1Mjb2zsuLm769Ok//fRT/fr1a9as2bJly6pVq1rPWb569aoQwsvLy8PDIycnj42NFUJUqFBBq7UdN8laGY8ePUpOTrbeW6ZMGeuNmZmZSUlJchjDhg0TQsjE3Py/8fHx8vk8ePCgdOnSORkqgBeJABoAAAAAACA7Xl5evXr1WrJkyZ49e+rWrXvgwAEhxOzZs83rEWfl119/FUJUr17degLv0KFDJ0yYkJaWtn///mwC6LVr18pSy4qiJCUlLVq0aNq0aefPn2/SpMnvv//+VIsQFitW7MSJE2+//falS5du3bp169attWvXjho1ytXVddasWV26dPHz81NT8gcPHsh7z8ltKoqSkpIihChRokRWfQoUKCCEMBgMNmd8Ozs7W280GAyybEh8fPz8+fOzH4McAIC8hgAaAAAAAADgCVq3br106dIff/yxd+/ely5dKl68eDaRseru3bvHjh0TQsTExNgsTCHnHX/99defffZZVjmvmghrNBoPD4/hw4c3bdq0RYsWV65c6dy582+//ZaTgFhVrly5w4cPnzt3bvfu3StXrrx9+7YQIiUl5eOPP/7mm2+2b9+uFmJ2cXERQqSnp1vPv7ZJTnyWE5ZtSk9Pt7gjm7dpsVE+ojfeeGPq1KnZD4Dpz0DeRAANAAAAAADwBI0bN3ZycgoPD+/evXtmZmadOnWeWP5CUZTg4GC5Ml5kZGRkZGRWPR88eBAaGtqxY8ecjESj0dSsWXPAgAEzZsw4ePDg8uXL+/fv/1T34unp2ahRo0aNGk2YMCEqKmrDhg1btmzZv3//5cuXP/vss59++kl2kwsPPn78WA2Osx+Vt7e3EOLChQsmk8m6oIcQ4sqVK0IIb29vV1fXHA5Vp9PJAiBXrlypX7/+E5d8BJAHsQghAAAAAADAExQsWFDWwbhw4YIQon///jYzVnNRUVGbNm0SQnTt2jUxC/Hx8bL0xLx582RUnRMajWbSpEkymf3mm2/+9k05ODgULVo0ODh4x44drVq1EkKsX78+LS1N7i1evLherzcajcePH8/J2fz8/IQQSUlJ9+7ds9lh+fLlQgh/f/8cFpUWQmi12iJFigghoqKi7t+/n8OjAOQpBNAAAAAAAABPoNFopk6dKotd+Pv7t2jR4omzcXfv3i1Xyfviiy/cs+Dp6Tl79mwhxOXLl6OionI+Hicnpzlz5mg0mjNnzqxZs+YZ7kxoNBqtVquuAagWaH7llVcqV64shBgyZIjNZQMtTtK7d2/ZXrx4sbxxc9euXZPlsCtVqpTzAFqj0YwaNUq2V6xYkcOjAOQpBNAAAAAAAABP5u/vbzAYFEW5d++ek5NT9p0VRdm8ebMQolKlSlWqVMmmZ/fu3fV6/aNHjw4ePPhU42nfvr1cgXDgwIFxcXE5OSQpKclgMNgcrYy/ixQpoqbDbm5uw4YNc3BwCA8PnzVrlvWBRqMxPj5efVmvXr2mTZsKIZYvXx4VFWWeQRsMhunTpwshdDrd9OnTnzh53FytWrVktD19+vTr16/bLEhtMBgSExOtU28AeQEBNAAAAAAAwHMWFRW1detWIUS3bt2y7+nh4VGnTh0hxMiRI3NehUMIUahQoREjRgghUlJStmzZkpNDpk2b1rx583nz5t28eVOW2jCZTDdu3Hjvvfe2b9+u0+kWL15s3r93795Dhw4VQkydOvWtt946evRoRkaGECIxMXH//v1dunQJDg42779o0aIiRYrcuXOnfv36a9eulQsYXrp0qX379suXL9doNJMnT5alpZ/KzJkzy5Ytm5CQUKtWrU8//fT69evyQaWnp4eHhy9ZsqRt27ajRo0igAbyJgJoAAAAAACA50lRlBkzZshaFg0bNsy+s06nkwF0ZGTkH3/8kfOraDSaYcOGlSpVSlGUmTNnymg4e7Gxsb///vuwYcPKli3r4uKi0WgcHR3LlSu3atUqHx+fsWPHtmnTxry/g4PDtGnThg4d6uPjs2vXrvr16+v1eo1G4+np2bx5819++eXx48fm/cuVK7d58+aAgIDbt2/37t3b2dnZ0dGxSpUqO3fu9PX1HTFixPDhw3N+gyp/f//z58/37NnTYDDMnz+/fPnyWq1Wo9E4OzuXLl16wIABe/bsefDgwd84M4AXgAAaAAAAAADgeUpISJDTn0UOAmiNRvPhhx/K9k8//fRUF9JqtQMHDhRCXLhwwWLysk0TJ07csmXLZ599FhgY6Ofnp9VqfX19O3bsGBIScv78+QkTJsgi1+b0ev3cuXMvXrz4448/dujQwc3NzdnZuVy5ct26dVu9evWSJUss+tetW/fQoUPHjx8fOHCgn5+fs7NzkyZNli5devHixZkzZ+p0uqe6QZWLi8vKlStv3LixdOnSdu3aeXp66nS6QoUKNWzYcPjw4Zs2bfr222+fWJUbQK7Q8PEEAAAAAAAAAIA9MAMaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBc2Aug//vjj448/bt26dfny5V1cXIoWLVq7du2+fftu3bo1IyPjxQ/xpWEymZYsWVK7dm0PD4/ChQufOHHCTheqVq2aRqMpX768nc4PAAAAAAAAADmhNX9x6tSpsWPH7tmzx3zj/fv379+/f/r06VWrVhUvXnz16tWNGzd+sYN8SUyePHnChAmynZSUlJKSkqvDAQAAAAAAAAD7+l8AvXfv3vbt26elpQkhHB0dAwMDy5Qp4+fnFxUVdfv27SNHjqSnp0dERDRt2nTFihW9e/fOvTHnSwaDYdq0aUIIV1fXgQMH1qpVq1KlSrk9KAAAAAAAAACwo/8G0AkJCX369JHpc5cuXWbNmlWqVCnzflFRUTNmzJg3b57JZProo4/q1q1boUKFFz/c/OvGjRvp6elCiN69e8+ZMye3hwMAAAAAAAAAdvffGtBr166NiooSQjRv3vzHH3+0SJ+FEEWKFJk7d25wcLAQIikpSS0lgRyS4b4QokyZMrk7EgAAAAAAAAB4Mf4bQP/222+y8f7772u12qx6T5482cHBQQjxyy+/KIry3EeTkpKiBrWwZjAYkpOT7fHkAQAAAAAAAOC5+28A/fjxY9koVKhQNr09PT0DAwOLFStWoEABm2voHTlyZODAgRUqVHB3dy9YsGC9evVGjBgRHh5u82yBgYEajaZ9+/ZCiJMnTzZu3NjT09PFxcXNzS0gIGDAgAFZHSiEOHDgQM+ePWvXru3t7e3n51evXr0PPvjgzz//zGbwTzW2JzIajatXr+7QoUPx4sX1en2BAgVq1ar12WefWZ/wq6++0mg0AQEB8uWYMWM0Go1Gozlw4ED2l9i1a5fsefbs2djY2A8++KBgwYLu7u46ne6VV15p27btmjVrnjaMjo+Pnz17dsuWLYsWLarX6/38/GrWrNmtWzeLlSctZGZmLl68uEWLFvKo4sWLv/XWW6tXrzaZTFkd8nyfNgAAAAAAAIB8SVEURVH69esnX7733nvK35KWlvbee+/ZvISjo+P48eOtD2nUqJEQ4q233tq+fbter7c+0MnJKSQkxOKopKSkli1bZnWhSZMmPZexZe/WrVs1atSweUK9Xj9nzhzzzvPmzbPZ87fffsv+Kjt37pQ9d+zYUbJkSZsnadiw4aNHjywOrFq1qhCiXLlyFtt37Njh4+Nj8zxCiGbNmqWnp1sP488//8xqvcQ6depERkZa9H/uTxsAAAAAAABAPqVRFEUIsXr16j59+siUsFu3bhMnTswqc8xKhw4dQkNDhRA6na5Zs2bVqlVLT08PCws7ePCg7DBgwIBFixaZHxIYGHjw4MGAgIA7d+7ExMS8+uqrbdq0qVy58u3bt3/44YfIyEghhLe396VLl/z9/eUhiqJ06dIlJCRECOHp6dmhQ4dSpUqlpqYeP378999/F0JoNJrQ0NC33nrrGceWjYSEhCpVqsjhubu7169fv1atWvfv3z969OjVq1dln2+//Xbw4MGy/fjx47t37165cqV79+5CiODgYBn3lytXzs3NLZsL7dq1q3Xr1kKIYsWKycuVK1euQYMGLi4ux44dO3funJyAHBAQcPLkSUdHR/XAatWqXbhwoVy5cteuXVM3Xr9+vWrVqnIhxDJlyrRs2bJIkSKJiYmXLl3as2ePwWAQQnz88cfffPON+RiioqJq1Kjx8OFDIYS/v3+jRo0qVqx4+/bt0NDQ+Ph4IUTFihXDwsJcXFzs9LQBAAAAAAAA5GMyhzaZTHI+sqpq1aqjRo3atm1bfHz8E2NsGTgKIWrXrn3x4kXzXXv37n3llVfk3m3btpnvMr/i4MGDzaffJiUl1axZU+5atWqVuv3cuXNyY61atWJjY83Ppmaa7dq1e/axZWPs2LHykICAgJs3b6rbTSaTWiO7QIECcXFx5kedOXNGHjV9+vQcXkidAS2EcHBwsDhwx44d3t7ecu+yZcvMd9mcAa3OSv7000+NRqP5rrNnz3p5eQkhXnnlFYsxDBw4UB7VsWPHpKQkdfvjx48DAwPlrhkzZqjbn/vTBgAAAAAAAJB/CbWVkpLywQcfyPzUnKOjY+3atUeMGBEaGpqSkmJ9ivT09HLlygkhfH19rQsyKIqyf/9+jUYjU2Pz7WoA/dprr5lMJoujtm3bJveOGDFC3fj999/LjStWrLC+UIkSJdzd3cuWLfvsY8vKnTt3nJ2dhRDe3t4WCbg0cuRIOcIxY8aYb3/GANpm5Qp1TnGJEiXS0tLU7TYDaBnou7u726yz0bt3b3mq6OhodePly5flxOqAgADrL9C9e/d0Op3MmuWW5/60AQAAAAAAAORrBUPMogAAIABJREFU/4ubXVxcFi9eHBER8eWXX7755puurq5yu9FoPHXq1OzZs4OCgvz9/QcPHnz37l3zhHrnzp3Xr18XQgQHB6tTXM01bdpUzpYNCwtTVzs0N2HCBJlLmqtevbpsyKoRFuQVLdy+fTsxMdF817OPzcLatWvT0tKEEJ9++qk6AdncyJEjZT2KZcuWPfFsOeTl5TVs2DDr7Q0bNmzbtq0Q4s6dOzt27Mj+JEuWLDl69OiRI0ecnJys96rFQDIzM9WN3377rdFoFEKMHTvW+gvk7+/fvXv3SpUqZWZmymIgz/1pAwAAAAAAAMjXLOc7Fy1adMSIEXv27ImLizt8+PC0adNat27t4eEh98bHxy9YsKBWrVoHDhxQD1Hn4TZp0iSry9SqVUsIoSjK6dOnrffWqVPHeqN5WWFV/fr15RztKVOmDBw48Pjx4zL6zMqzj83C0aNHZaNjx442OxQuXLhBgwZCiIcPH966deuJJ8yJN99802bYLYTo1auXbBw5ciT7k9SqVatevXpycrQ5g8Gwc+fOjRs3Wh9y6NAhIYRGowkKCrJ5zlWrVl2+fPns2bPyi/LcnzYAAAAAAACAfE2b1Q6dTle/fv369euPGTMmMzPzt99+W7du3YoVK4xG48OHDzt37nzlypUCBQoIIe7cuSMPySZ2VD169Mhii7u7e6FChXI43OrVq0+aNOnf//63yWRatGjRokWLvLy8Xn/99ddff71ly5avv/66RQmRZxybNXX2d+nSpbPqo+66d+9eNt1yrmzZsk/cFRERkZNTpaenHz58+Pz589euXbt169bt27evXr2akZFhs3N4eLgQonDhwrLqyBM996cNAAAAAAAAIF+znAFtk06na9GixdKlS8PCwmRYHB0d/eWXX8q98fHxOb+edT2NHIabqnHjxh05cqRNmzZ6vV5efdeuXRMnTmzYsKG/v//UqVPN49RnHJu1xMREIYSbm5s6K9yaWn0iLi4u51fPhr+/f1a7SpQokcNrZWRkTJkypXDhws2aNRs6dOg333yzbdu2CxcuGI3G+vXry4nJFuQ5bRbTsOm5P20AAAAAAAAA+ZpWCBEaGjp//nwhxLBhw2RN4axUq1Zt7ty5suzDyZMn5UY1it21a1fhwoWzv16xYsWefdD16tXbvn17cnLy/v37f//998OHD586dSo9Pf3hw4fjxo3buXPnr7/+KlfPe+5jkydMTk5OSkpyd3e32ScqKko2surwtNQTWrt//75sqEWcbVIUpWvXrqGhoUIInU7Xpk2bevXqVa9evUyZMmXLltXr9cOGDbOuieHq6pqcnBwdHZ3Dcb74dwIAAAAAAACAvEwrhNBoNHv37hVC1KlTJ/sAWpitDaiWUFBnyPr4+NSoUcNeI7Xi5ubWvn379u3bCyGSk5M3b948evTou3fv/vHHHytWrOjXr589xqZORr5161a1atVs9rlx44ZF52ekntDatWvXZKNo0aLZnGHbtm0yfa5Wrdr27dtzGP4WKVLkxo0bERERBoNBq7VRreXhw4cyAS9fvryrq2tuvRMAAAAAAAAA5E0OQogKFSrIFz///HNaWlr2B6ir8JUrV0426tevLxv79u3L6qg5c+Z88skno0aNUhTlWYb7/fffz5gxY+7cuRbb3dzc3nnnnRUrVsiXx48ft9PYXn/9ddmQea616Oho+Yh8fX3Lly//xBPmxL59+xISEmzuWr9+vWyod2rT/v37ZWP27Nk202ebFTzkaopGo1E93MKnn34aEBBQs2bN5ORk8WLfCQAAAAAAAADyPgchRMWKFd944w0hxPXr10eOHGk0GrPqHRcXN2/ePNnu2rWrbLRr105O9Z07d25kZKT1UadOnRo5cuQ333wTGRmp0WieZbghISFjxowZPnz4rVu3rPe6urrKho+Pj53G1rNnT1l7evbs2TZD4ZkzZyYlJQkh3n333We8WVVsbKz62M0dP348JCRECOHn55f91HUZEAsh5LqRFh4/frxnzx7r7e+//75sTJw40Xrvo0ePtm/fLoSoUqWKn5+feLHvBAAAAAAAAAB5338XIZwxY4Ysmvztt9/WrVvXuhywEOLAgQOtWrW6ePGiEKJOnTpdunSR293c3KZMmSKEePjwYf369c+fP29+1Llz54KCguR01w8++OAZh1unTh3Z+OSTTyxqE8fHx48ZM0a2GzVqZKexlSpVKjg4WAgRGxvbrFmzO3fuqLsURZk+fbpcm7FAgQLjx4//W7do26RJkyzmfe/Zs0cNnb/44gtPT89sDg8ICJCNH374wWLX8ePHW7RocffuXflSjaqFEE2bNu3QoYMQ4vDhw3379k1NTVV3xcfH9+7dW6462K1bN7nxRb4TAAAAAAAAAOR9GrUSwpo1a/r27WsymeTLMmXKVKlSxdvbOyMj48GDB7IWsNxVrFixX3/9VS3BIYQwmUwNGjQ4duyYEEKv17dp06Z69epGo/HMmTM7duyQ5/z8889lOqkKDAw8ePBgwYIF1XLS5qKjowsWLCiEGDJkiFwjUQhx//79gICAhw8fCiG8vLxatWpVrlw5rVZ7/fr10NBQOfW4devWW7dulXn63x5bNuLj4ytXrixrH3t6egYGBtasWTMqKurw4cOXLl2SfRYuXPjhhx+aH3X27FmZAk+fPv2zzz7LyYV27drVunVrIUTx4sXlw69cuXLDhg2dnZ2PHTt26tQpOfgqVaqEhYXpdDr1wGrVql24cKFcuXJqhejIyMjq1avHxsYKIZo1axYUFOTr63vz5s1Tp05t3bpVUZSKFSteuXJFCNGpU6cPPvigadOmzs7OQohr166pFTaKFy8eGBhYsWLFyMjIzZs3y69C3bp1Dx06pFaIfu5PGwAAAAAAAEA+ppjZu3dv1apVs+/frl27O3fuKFbi4uJatWpl8xAnJ6dRo0aZTCaLQ+Q85YIFC1qfTVGUx48fy8OHDBlivn3fvn0ymLapdevWCQkJzz627N24cSOrB+Xs7Pz1119bH3LmzBnZYfr06Tm8ys6dO+Uh33333UcffWTzcvXq1YuKirI4UI6tXLly5ht/+eUXFxcX6zN4e3uvWLFCrZotRUZGqgcePXo0q0ULmzRpEh4ebnH15/60AQAAAAAAAORTWvN8sHnz5mfOnNm1a9f27dsPHTr04MGD6Ohob2/vUqVKlSxZsmLFil27dq1evbrNbNHLy2vnzp07duxYs2aNPNbDw6NChQoBAQEjRowoVaqUzaP+hmbNmoWHh3/33Xd79uy5fft2RESEl5dX6dKlK1Wq9NFHH7322msvYGxlypQ5c+bMmjVrfv7559OnTz969MjV1bVUqVKtWrUaPHhwiRIlnsN9mnFwcPjuu+86d+68YMGCw4cPR0dH+/j4BAQE9OrVq1evXg4ODjk5SYcOHa5evTplypTjx49fu3bNwcGhbNmyQUFBQ4YMkYWhZ86cOXfu3MePH5cqVUrWuZbq1at35cqVhQsX/vLLL5cvX05MTCxXrlylSpW6dOnSvXt36wu9sHcCAAAAAAAAgDzufyU4kNeoJTi+//77gQMH5vZwAAAAAAAAAODp5GjyLAAAAAAAAAAAT4sAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC40iqLk9hhgW2xs7Llz54QQFSpU8Pf3z+3hAAAAAAAAAMDTIYAGAAAAAAAAANgFJTgAAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsQpvbAwAAAAAA5BVGozG3h/BkiqLIhkajyd2RPDtFUV6Ou5CNl+ZeXpobES/LvbwcdyEbL8295PcbUb8iIj/ci4ODQ94fZDYIoAEAAAAA/zV//vyrV6/m9iie4CXLcV6Ou5CNl+ZeXpobES/LvbwcdyEbL8e9vBx3IRv54l5GjhxZpkyZ3B7F30cADQAAAAD4rz///PPGjRt5/F+5mZmZsqHVavNFcJAVRVEMBoOjo6ODQ/4uj2kymeTc+ZfgXoxGo6IoWm2+T0vkt4mDg4Ojo2Nuj+WZyG+T/P7NLoQwGAwy8czv9yK/Ii/BW8toNJpMJpHnf3CZTKawsLCkpKTcHsgzyfc/UgEAAAAAz1GtWrWmTZuW26PITkxMjMlk0mg03t7e+ToBURQlOjrazc3NxcUlt8fyTFJTU5OTk4UQXl5eOp0ut4fzTJKSkoxGo5eXV24P5FlFR0criqLX6z08PHJ7LM/EaDTGxsb6+Pjk6292IUR8fLz8q0CBAgXydQBtMpni4+P1er2rq2tuj+WZJCcnp6amCiE8PDz0en1uDydLaWlpjRs3zu1RPCsCaAAAAADA/2g0mrw8F0xRFHV4Dg4OeXmoT2QymRz+kttjeSbqeyaPv3lyQqPRvAR3If66kZfgXuS3fH7/NpE1K/g2yVPUN1Uev5d8/ecKVd59vgAAAAAAAACAfI0AGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsQpvbAwAAAAAAAMA/l5L2WBiSbO7SmEy69ESRnKA4/DWHUuep0fu+uMEBeGYvYQA9fvz4M2fOCCE0Gs3mzZtzezhCCBEUFCQboaGhuTuSFyN377dLly4ZGRm9e/fu1q2bPc6/dOlS+b7y9vZeuXKlPS7xvFh8IdLS0uQz2bBhg16vz82RAQAAAACgenRYxJ+3uUcjhKcQItZsU4F6wv/NFzIsAM8HJTjwUvnjjz8yMjKEEF27ds3tseQ5zs7OlSpVEjwcAAAAAAAAvCgE0C9Ckb/k9kBekNy6X0VRZs2aJYQICgrSaDQv+Or5wuTJk2UjIiIid0cCAAAAAACAf4KXsARHHrRo0aLcHsILlVv3u3btWtl49913c2UAeZ9er/f29o6Lixs6dGhISEhuDwcAAAAAAAAvuX9WAJ2cnLxs2bKTJ08mJCSULVu2efPmbdq0se6WmZm5fPny48ePP3r0qEiRIrVr137vvfd0Op15n82bN8fFxQkhSpQo0bRp0927d2/evPnu3btlypTp3Llzw4YNzTuvWLFCNqyD0U2bNh08ePDmzZteXl6vvfbawIEDtdonf1EURQkJCTl8+PDNmzddXV2rVq369ttvV65cOauLGgyGr7766ujRoz4+Pi1atLBZgUFRlHXr1v3xxx93794tUaJE48aNsyrUEBERsWbNmrNnzxoMhipVqnTu3LlatWo5ud/U1NTFixefPHkyOTm5SpUqnTp1CggIsD5/fHz8ihUrTp8+HRcXV7Ro0Zo1a1o/f5t++uknIUShQoWsO584cWLbtm2XLl1SFKV8+fKBgYEWX/qsxqxu79y5s7u7u/VF16xZs2/fvsTExHr16g0ZMsTZ2dm6T1pa2vz5848ePVqxYsVJkyZptdps3hKXL1/euHHjhQsXjEZjpUqVWrVq1ahRI+tzxsbGrly58syZMzExMb6+vtWqVevRo0fRokWzeDb/M3LkyH/9618GgyEiIqJ48eJP7A8AAAAAAAD8bRpFUXJ7DM9ZVosQTpgw4fTp0xadtVrtjz/+aL4g28KFC7dt22Z92ubNmw8dOlR9OXjw4MjISCHE66+/fuvWrQcPHph3LlWq1Ndff62+tLkoX2JiYq9evawv1L59+wEDBmRzgzExMe+99571dnd39zVr1qilJ9SLbty4sXPnzuY9HR0dQ0JCzItU3L1796OPPrI+5/z580uWLGm+ZcCAARY3K4Rwc3P78ccf1Zc273fevHn79++3PnDt2rXmI5kyZcqxY8esR9KyZcshQ4ZYb1fFxsbKMHfUqFGBgYHqdkVRevbsmZKSYn3Izz//7OTklM2YzbcvXry4cOHC4v8vQpiWlpaWlmbe/6233vrwww/Ntxw+fHj69OnmWzZs2KCG++aXUxSle/fuFicUQmg0mg0bNqhDFUJ8/vnnFy5csL6jMmXKzJs3z3rwNm+qZMmS8+fPtz4JAAAA/skGDRrk7e1t8RtsnqIoSmxsrMlkEkL4+Pg4Ojrm9oj+PpPJFBMT4+bm5uLikttjeSYpKSny31yenp7m/3LJjxITE41Go7e3d24P5Fk9fvxYCOHk5OTp6ZnbY3kyJSI0q0UIbShQT5PfFiFUFCU+Pt5gMAghfH19HRzycUVck8kUFxen1+vd3NxyeyzPJDk5OTU1VQjh7u5uczZhHpGamhoYGLhs2bLq1avn9lj+vnz8jn8qCxcutE6fhRAGg6Fbt27qy19++cVm+iyE2Ldv36pVq6y3Hz161DqQDQ8Pv3v3bvZDspk+CyG2bNly7ty5rI5SFMVm+iyESEpKsjlnuUuXLhZbjEZjp06dzF/aTJ+FEJ988klycrL5S+ubFUIkJyf3798/qzELIX7//Xfr9FkeaD6SEydO2EyfhRC7d+9++PBhNpdQ42mL+cJ9+vSxmT4LW0/mqcTFxVmHxVu3bjX/0huNRuvf3bt3727zhJ06dbI+oRBCURTzod65c8dm+iyEuHnz5pUrV544cvmD9fbt20/sCQAAAAAAADyLf0oJDjVW7t27t0ycFUXp0KGDbJw9e7ZGjRomk2nZsmWyW+HChRcvXizbQ4YMuXPnjhBiw4YNffr0sT559+7dZZqcmZmpzjXeuHFjcHBwVuP5z3/+IxuOjo6bNm2S7eHDh1+/fl0IMX78+F9++cXmgZmZmWpbndaalpYmbyojI0NRFIv19xRF6dGjxzvvvCOEOHXq1MSJE4UQRqNx//79zZo1E0J07NhR9mzcuPHIkSNl+5NPPpEBZc+ePeWFoqOj1chy9erV8o+o6jzuR48eGY3GrGYffPnll7Ixd+7csmXLCrPnbzQaf//998aNGwuzJfL69ev39ttvq4f8+uuvQogRI0bY/BuAlJiYKBvmt68oSkJCgmxv2LBBner+9ttvyxkTFy9erFKlSlbnfCIHBwf1K6WeMzg4eOPGjXKj+ucNJyenn3/+WWQ98/3HH380Go2yvWLFCh8fHyGE0WhUvzoTJkyYMGGCEEKdiR8UFPTBBx/I9qBBg+7duyeEWLVqlfruykrjxo13794thIiLi3sJ/rAPAAAAAACAPOsfMQP67NmzalsNBDUaTe/evWV7wYIFQogTJ06o3dT0WQjxzTffqG3rabw+Pj5qnqjT6WS6KoQ4fvx4NkNS95rXQJgzZ45syBzTphs3bqhtdWKvs7Nzr79YH+Li4iLTZyFE7dq1CxUqJNtLliyx6DlixAi1rUbGKllhWVI/wuPh4VGwYEHZXrdunc0xR0REyIZer1efj0ajGT16dFbXMp9nPXjwYHlrakGJbPj7+5u/TE9PV9tRUVFqe9SoUfKcSUlJTzxnNmSmLKnPJzMzU0bJiqKofzBQF0j08PBo166d9anUGibNmjWT6bMQwtHRUYbOQgh1Cv+rr75arVq1atWqmdePrlq1qmyY32ZW1Jnyhw4demJnAAAAAAAA4G/7R8yAVqfNVqhQwXx7t27dzOtvqKUSzCsISxUrVpSVDXbu3ClnDZvvMn9ZrVo1mRFnU1xbnegqhChWrJj5LotavdbMb6FHjx5CiLZt27Zv3z6rqg5CiGnTppm/XLhwoZxUK7NX87B7x44dNs9gMpkcHBx27twpXw4bNsx8rzptPCtqOexChQpt375d3a7OWRZCyInbhQsXltHztm3btm3b5u7u/s4777Rq1Sqbu7NgMZ/XvLr3J598IoQICAjo2LFjgwYNLOaJ/z3mK0bq9XpHR0f5xT1w4ECzZs3UyNjBwcG8DlqfPn0sKr2Yv1ssJs7XqlVLbSclJbm7u0+ZMkU9KjIy8tSpU0eOHLl06VLOh63+EUJOmgYAAAAAAADs5B8RQKt1db28vLLppubCNWrUsNhVsmRJGUDHx8c/+3ie5SSOjo6lS5e+deuWumX79u0y1S1fvvy0adOsF3woU6aMxRnMX5oXVv7+++9tXvTBgwfmM4utn0/21CrSERERWV1CmjNnjvkk7qSkpEWLFi1atEgI0bZt20GDBj3xWjqdzvylRqMZNGiQ+UXPnDkj16j09PScOnVqiRIlnuZW/h/rEvVeXl4xMTFCiAsXLjRr1kydX1ykSBHzbq6urhYHyrL36pizuuKjR4/c3d2FENu3b8/+SWZPvURW1bEBAAAAAACA5+IfUYJDlcNJr9aTl7OpifE3ZDM5Oie++uqr5cuXm0+Mla5du9alS5enOrmiKDnpb154Wghhv9VaPTw8Nm/ePHXqVOta0tu3b89qpURz1rfTtm3bDRs2mFerkBISEoYMGZKTJfuykpGRkX0H9bk98Y33VO/MGTNmmKfPVatWnTJlyoABA3JyBgvmM7gBAACQlyUnJ9+7d+/evXvmnyO0oChKYmJiVFTU/fv34+Pjn++/YgAAAP6ef0T8pM5UjYuLy6abTqeTieHhw4dbtWplvis8PFw2nsuKbc9+El9fX1ka2GQyfffdd3JBOWnp0qXqwnTS+fPnq1Wrpr40/zVUo9GYT859YgEQ6cyZM02aNMn5aNVJ2a+99tq///3v7DtrNJqqVatu2rRJ/vb8/vvvqzHu3bt3n3gt86nEKr1e37lz586dOyuKcuTIEbXWihBi0qRJa9asyemd/H/Wv9DHxsbKRu3atYUQderUOXDggPXIrQdpPpnaehlJVeHChYVZ4eZZs2apFWDk8pU5pD5SNze3nB8FAACA3GIwGObMmSMXrenbt2+XLl2s+yQnJy9cuPDPP/98/PixEMLX17dkyZJDhgxR1xcBAADIFf+IGdB9+vSRjatXr5pvnz9/flBQUFBQkExFJ02aJLeHhYWZZ4smk0lN9zp06PDs4zGf3hsWFqa2FUUJ+ktWx27+i6zj4eDgMGTIkNDQULXOhnkYLU2cONH8pVr2Wi4kaJ51WkwfPvcX+VIN5dXFEqU+ffrIMWdVQvrTTz+VDYvpxunp6eaXSE1NVe9ODszT03Pjxo05jMUli6j34MGD8oTnz5+X52zQoEFoaOjgwYNlB+tFCNWCISIHM9/V6i5CiLi4OPUBNmjQQAjRuHFjmz2tV2vUaDTqF0Jdm1EKCQlR2xZ5sXn98R9++CH7oZo7evSobLz++us5PwoAAAC55dSpU6dPn/bw8MiqQ2pq6qxZs3777TeTyVSnTp06deo4OzufOHFiwoQJNqdoAAAAvDD/iADavGbxuHHjZEoYHR29Z88euVGWL6hcubLarVevXjJ8zMjI6Nu3r7pdBovPrn79+rLxxRdfREdHy7ZaJkJOdLVp6V8mTJigxp0Gg+H27duybbFCoBAiIyNjxowZsvPatWvVwhFqLqyu1Dd27Fj1nEuWLPnXX+SWnj17qufctGmTbBw7dkwtad2mTRubYy5VqpRsJCQk/Prrr7KtKMo777wjz79161YhhKOjo3p35kvqXb58OaunYU7ehcWv1waDQZ5w3Lhx5oVEDh8+LBsFCxa0OM8HH3wgKyPfu3dPrtaYjW7dusmiz1FRUer7xMvLS6bJGo1GLVfSq1cvmUEfOXJEfXrmBg4cKBtXr16V86aFEOfOnVu+fLlsW6+Nqd7Fb7/9lv04LSxYsEA2LJbQBAAAQB6UkJAwa9as2rVrt2jRwmYHRVFWrVp1+vRpb2/vOXPmjB07duzYsTNmzChbtuytW7dmzJjxggcMAABg7h9RgkMIMWDAgMWLFwshzp8/bzGLuVChQnIlOgcHh9GjR8+cOVMIkZyc/Pbbb1ucRI1in92YMWPUYbz//vsWey2mGJv74YcfZP8bN27YnI5tPafV0dHx0KFDFp0LFChQp04d2V63bp1MWi9dumR9TjUA9fX1rVKlysWLF+UwLKbcms/2tTZ8+HB5U3Pnzp07d67F3rFjxwohnJycChYsKD8wOGbMGOuTvPrqq9lcon379j///LMQIi4uTi1y0qhRI/Vhdu7c2fqoWbNmyUblypVl0p2cnNyjR49sLmThvffes9iydOlStT1v3rzg4GAhRGZmpjr33Ka2bduuXbs2ISFBCDF79uzZs2eb73V0dBw1apRsazQa+XcC81oiqmxqAqrkLG+dTpfD2tMAAADILYqiLF682NnZuX///vv27bPZR36yUKvVjh8/Xn7MUQjh5ub2+eeff/jhh6dPn46KirJYFhsAAOCF+UfMgBZCtG/f3jrnFUIUKlRIBtNSo0aN1JjPwvjx4+vWrfu8xqPRaKzrMEhfffVVNp+tK1CgwNChQ7Pau3LlSutIUcay5lxcXJYtW6a+lFOPbZ5w4cKFvr6+6stp06ZVqlTJuluDBg1GjhyZ1aiEEE2aNOnfv7/1dm9v75CQEHXMS5YssZ6SLBUqVMhm3qpSJyCvWrVK3ajVarO6NSHE6NGj1bubPn269eKK5u/VJQcoAAAgAElEQVQNm4MvVKiQxcb58+erNa+FEKVKlbIoyS2E+Oabb2yecNWqVQUKFLDertVqzb+I1nfk5+c3depU2U5NTbVYNNKCyWSS+XVWM2gAAACQRyiKcvPmzQMHDgQFBfn7+2fVLTk5OSIiomjRoq+88or5dj8/P7l0eQ4/UwgAAGAPGouyvy83g8EQFha2fPnyqKio9u3bd+7c2WbUazKZwsPDFy9efOnSpRo1avTr169kyZJ2miv66NGj1atXHzhwoHz58h999FHp0qVzciGTyXTv3r1NmzYdOnTIYDAEBgZ27969cOHC5seqhaRDQ0NNJtPBgwe//fbbkiVLjho1ys/Pz/qciqLcuXNn0aJF58+fDwwMfPfdd/38/GwOJi0tbf/+/T/99JPRaOzVq1ezZs3UIh7ZMxgMx48f/+GHHxISEjp37ty2bVt3d3frbqmpqWFhYSEhIVevXvX39+/UqVNgYKCrq+sTz29+yxa7YmJi9uzZs3v37sePH1erVq13794VKlSwTpxv3LgxZ86cR48e9e3bt02bNubVurMSFRU1c+bMe/fuDRkypEGDBtbnFEKkpaWtX78+JCSkefPmgwYN0ul02Qw1JSXl119/Xb9+fUZGRocOHdq1a2f9LjUYDBs3bly3bl2DBg0+/PBDLy+vJ45T9a9//UsW3d68eTMzoAEAAPKyhw8fBgcHv/rqq+PGjXN0dFy9evX69eutFyE8e/bsv//976pVq06ePNniN9i1a9euW7euT58+Xbt2zeFFBw0a5O3tnf3kj9ylKEpsbKwsmejj45OTX9rzLJPJFBMT4+bm5uLikttjeSYpKSmykqGnp6f5jJz8KDEx0Wg0qh+rzb/kx4udnJzUD0bkZUpEqIg/n9PeBepp/N+053CeP0VR4uPjDQaDEMLX19dmdJBfmEymuLg4vV5vsU5VvpOcnCzruLq7uzs7O+f2cLKUmpoaGBi4bNmy6tWr5/ZY/r5/VgD9j5JNxPmySkpKeuedd4QQkydPNi/8nVsURUlPT5dt859lycnJakHtF//VkW+M4sWLf/vtty/40gAAAMg5RVEWLFiwa9euGTNmyI8hZhVA79ixY8GCBQEBARMnTrSYYRAaGrpkyZIOHTrY/Dzivn37rP89uGrVqsKFC0+ePPl539DzlJSUJEfu5uaWr3McRVGSkpL0en1+D23T09PlakMuLi5abf4u9ZmWlmYymXIyBSqPk+UZdTpdXk7WVNqo7Q6Jl57cTwghhNG7jtGviT2HYxfJycnyL2fu7u75ejaYoijJyck6nS6HkxHzLPUHl7Ozs06ny+3hZCktLa158+ZLly7NC0nX35a//8cAmHN3d/fx8YmNjf33v/+dF2J3jUaj1n3u16+frCquKIq62qTNeiZ2pa5/SPoMAACQx4WFhe3Zs+fdd9994sLRcllsFxcX60RDRoEWK3Wrxo0bJ6fjmStatKivr29OVhbJC+TqJvldenq6OnMlv8vqzZbv5JdvgSfKzMzMvkhjHuGeach5lpmRkZGSn79ASUlJuT2E5yAjI0Omty+BtLS0tLS03B5FluTY8vsE4nz8t2LA2sKFC2XjwYMHuTsSSRbdE0IsW7YsKCgoKCioQ4cO6s/oadOmveDxyKUjbc5/AQAAQN4RExPz9ddfly1btmPHjk+cKCenAMuJdQAAAHkNM6DxUnF2dh40aNDRo0cXLFgwYcKE3B6OmDBhwu7du61XHQwICJgwYcIL/rTgxYsXAwIChFl5FgAAAORBiqJs2bIlJiZm+PDhOfmYtlzIOj09XVEUi/5ygrPNlVeEEF988YV1bP3TTz9ptdqsDskjkpOT5VwwV1fX/F6CIzk52cnJKb+X4FDnQrq4uOTrqtziJSrBIafZarXa/FGCI+kp4iknJyeHvP0zyqaUlBT5I9fNzS2/l+BISUnRarUvQQkO+fkAZ2fnvFw7SI4tX79nBAH0S2zlypW5PYTc0bZt27Zt2+b2KP6nZcuWLVu2TE9PT0hIMBqN7u7uufXbfJUqVSZNmpQrlwYAAEDOpaambty4Ua/X79u3b9++fer2mzdvCiEOHjwYERHh6empfqytWLFiQoiMjAyj0WjxT+jY2FghRFZLkLVp08Z645YtWxwdHfNyYiWzDxlA6/X6fB13mkwmWUo1Lz/wnDCZTDKA1ul0+T1MVwOp3B7Is5IBtIODQ764F+VpvpEdHR21+eGmzCmKIv+2IYTQ6/X5+i9nJpMpNTU1v/xtIxtGo1F+v+fxe5H/vyOARh71Eiza+zLR6/V+fn65PQoAAADkAzKhSP8/9u4sRtLsrBv8c7Z3jyX32rt6sbvdbZu2DfY3XmhMG5AGY2mE0IeEh4sRAiQ0Gokry8AViEHMBTLcgQSWEKMBzQyjD7Hb2MbYmM92G7fb7d6qq2vLPTO2d3/POc9cnKyoqNyrKrO2fn5XmRFvRLwRGZGZ8X+f+J+q+tKXvrTz3DfffPPNN9+cm5sbB9CnTp1SSvV6vbIsJ2cdEPHll18GgIWFhbuy44QQQgghu6AAmhBCCCGEEELuI2EY/uEf/uHO0//mb/7mn//5nz/5yU/+5E/+5OTYbxRF58+ff+ONN9566613v/vd49MvXbr0yiuvAMAzzzxzF3abEEIIIWRXFEATQgghhBBCyH1ECHH+/Pmdp09NTQHA9PT0tnOVUs8999zrr7/+u7/7u5/5zGdcBv3WW2/93u/9HiL+7M/+LH04khBCCCH3EAXQhBBCCCGEEPIAY4x96lOfunLlyj/+4z/+5m/+5uRZzz777C/+4i/eqx0jhBBCCAEKoAkhhBBCCCHkIfBLv/RLTz755Ne//vXvfe97iPjUU0998IMffP755x/0ZYsIIYQQ8qCjAJoQQgghhBBCHgCf/vSnP/3pT+91ru/7n/jEJz7xiU/czV0ihBBCCDkQv9c7QAghhBBCCCGEEEIIIeThRAE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQY0EBNCGEEEIIIYQQQgghhJBjQQE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQY0EBNCGEEEIIIYQQQgghhJBjQQE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQY0EBNCGEEEIIIYQQQgghhJBjQQE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQY0EBNCGEEEIIIYQQQgghhJBjQQE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQY0EBNCGEEEIIIYQQQgghhJBjQQE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQY0EBNCGEEEIIIYQQQgghhJBjQQE0IYQQQgghhBBCCCGEkGNBATQhhBBCCCGEEEIIIYSQYyHv9Q4QQgghhBBCCCGEkLcxFUN4YtdzENBoI6UAYFsnyeju7Rgh5ChQAE0IIQ88RETEyVPquj7yW2GMbbuV4yaEEEJMnsI5fXCHEEIIIYSQh47NoV7b9RzmoqvJ9zf20buyT4SQI0MBNCGE3GOTqe74a2PM+MTJr+/mzgAAY2yvs+4CY8xt3PfJzNp9PXkvJr8mhBBCCCGEEELIcaMAmhBCjtc4t7XWui+01tvOOpJbMcZorbWxaK21FgANojHWRa6MgXDjw4gWsTa2bLRFFJ7PhORScqGYlIztGDFGNE1jmspUpQJsh34URVLev38+Dpndj5Nod18YY9cfKEqoCSGEEEIIIYSQI3P/JgiEEPIAsda6HgyXMo+z5iOktS7LsihLbbEwWCNDxkBIFJIJBVvdFAJAAFyvR2M31prFIpV1Hk3NSN93pwSHvGHGhOcJz4O4BQA5QI5gsqrJRnNxEMfxEd7Hu2mc/jdNs89mrvTDTVJzzimeJoQQQgghhBBCbgkF0IQQcgtcWOny5WOqpNBaD4fDNM8boWrugRDIJRMSGAPwwfO3bX9AIIqIG0ut2Xk1PX2EOyk8X3j+ELG3uHTm1MnbuAZr7aWr1y5msFEzDUwjWGAcgAMKBoIhA2CIgkEscT5gbQme53WSOIqiySZoRNRau58FIkopt9VG36F9jii4MNrtjFLqCG+UEEIIIYQQQgh5aFAATQghN3FR43Es4reT1rrX7/cHA+tHNmyBkMg4YwxkC9qt8Wa3N3OLRvPeSuf0I+zs+SPa3+0YY3Lu1KX13pTH4zje2NwcDIYolRHSMAEAymhmamat8rwwCMLA931fSvnqm5e+kYUA20Pbrb4MBBhn+wibNVypx2ekACkA8hsb7vrwoBv+ZoAMQDGMuJmWdkbqKApnu90jGdx2qbdr+di164Nz7vo9aO1EQgghhBBCCCFvWxRAE0LedsaTy66L+S4s8eeqOYqyXF5Za5QHcRfk9ezV68BcZ7zlLmGq21tEAOCm5mVurfFQAzAGUCXTlkvgbOuiiIgWVq90zpwXYQTJo4hojdb9dair8c4wxsZTw5Oju8zz5fTCrbZM+J2ppatvFcYH2YaZ9uRZeuLrPgAYgBwANAtiL9M13PaoMjuo4oThVpzNAKBByI1YNwAVQAawNgIYue0U2LOynJb29PxMp93mnI3LoO+ctXbXIxlCCMbYeFKbaj0IIYQQQgghhDzEKIAmhDzMXMbqhpqNMcdRzbzrjWqt67oZZNkgKzBus8DN23owe3qfiwEicC7qQtYFsxqFEnVht1YUBCllWZa11lLKXOsoiiyiN1gVQmjh1SqAwUbYaskggvmTetjXVQ5BBGXOGHMhOyIWRbHtZuu6Ztf5iM3yZTV/ht1KiwUiFlH31h6ipPvuBJauLC7Z8JYueOQa4G/q6E0N37pcAay5E+d4taDMYyemkyj0Pe/IA2L34xivRQkTTdO0FiIhhBBCCCGEkIcMBdCEkIeHWwbQGDNeDPC4WWvLqirLstJmVBsDDP2QeW55PwVBF4LuPjkir3K/TDma8W4zxsqybBA9z5NSpnk+uT1jTCnFOfc8b7wgHiJClfNsiIisLvPRQCllrS2KQlWV7/t5nu815R2GW/nv+NqMMbB6VQMXaBhjTEjRnubBnjGxLouNNIMgubUHDgAATp49Nb+29N38sKshAsAnputew14YqQ+0GmDwreGxNC+vWX+tgpculQAlAMzyetrDx2fidhxFYXgc0fBeTdMukuacU4kHIYQQQgghhJAHFAXQhJAHmNZ6PNt7F24ry7IszxsQBRPIBUqPCQlMgkhAAPgA+/Y1yzKVTcms5WgQALngdisXdoUMZVkqpeI4djPLk9PKUspxWOy4Dbbd8dFoBBMF1k3TuFUT9zK+CaVUEATW2rIsx0l0FEWCsX3u0nD5ah5P31767Ii5k+/Phi+t13vVccwryxg+HpqXUplgCSCnFD4/XTdNY7g66Zl3RgYAvpvKvt49ouWAT8XmcilSc+OevDdp5j387kguiPJEJLWFoWHrNV+sucbtd3jdeuslvHZNAwwZDNpcTyt4vC2nO+0kOYIu6X3sPHLg8mjGmGuXJoQQQgghhBBC7nP09pUQ8mCw1roOjbuQNQMAIm72eoPhsAlaVvkoJOMCWARxNN7mUHOwiGG6znTDGKvrOq+qJEmAMS19qavJDV0GXde1G98WQgRB4GqCGWOIWJbluLj5yBljRqORG68WQnieJzsz4Id87y6OtcWrpj174DVzU7eKITNN7reiJkdghvEySLT03QYsSj44N3x9o1ix20ehn5+qx9PGH+zofx+E1lacc2utUkoiPpMYAHgj54XZ86dhgV0ueXFzkPtiujU6vdZEbzX2v3R0oquA6Sc6gQHe1+z7mdyZRAMAAhtYNajg4hrA2ojBMGB2RprHIjwxN5Mkt5/FAwAirm1s5kXBGOeCS86lEFKIMAx83x8PvO9s8HCj8UfYXk0IIYQQQgghhBwVCqAJIfcpN918d+JmAOj1eitraxh1IOmCG/uVLZhuuXNvKdWL+0sAgAAMoCiK8npiyBhLkoQxVlVVPRpFUSSEcDPLThRFbklAxpi2CH7ozcw3K1cBbV3X+88y3yFrre/7nucBgFo4A4zvH2UuD1LYI31uZ+vCTXbj1gPHAJCxuE6LonAPhV9mXtLNgzYAeE2Zh53TZzrdxSuv6mTywf5izwMAAHQp+PtaNef8i5sKAQIOM9Iu1vz56UbapsL9/pylhgNAR9j3tfQ3Bqq8OVlODf/CpqeYem6qAQAOMCPNB/0siiJw1dwA/7K1J9shsALF1UZcHQAMUre24UlePeLX58+ecddwGP/vi1cGVuLWozW+LxbAAjSuCQRg67UQgJkWzWlZddrtE3Oznuch4rbVDoUQ7ljCIXeAEEIIIYQQQgg5JhRAE0LuPdfdrLW+C8XNiKi1KatyZaPXcIlJlwkJACASOLH3+KrLwScyWT/rycbFgpB1TmylrYwBQBl1g7wPiBbR9/2maTjnSqlxGuiyQmOMEKLVagEAAlReXDcVFlk8NWXzTHKGdZFeen1bsHhM3AgtBDEPI8YPSC3Xlq5Ba2avc0fR9FS6VlWVEMIY4/t+WZZugFcGoS8ER1tLPw/agOiZqhHKPW7x6XPvX71ysfQGqOxNmT9z48vfGvnjk0oL12oBAF/Y3D0a3mlg+Jf7XkvYcrdx6QbZ+KoU2HdEIrCGMW6M1lp/YvqmjUsDFwrR07y0cPPhCQYASzZYKoJvvDYEGAbMPCHzx07OdlotpW78zR0Oh//PmxneuOxhyqy3Ni5BLhq5aEJYA1jbdCdKsCdEPSWauW57fqotpZRCjJujOeeusoOmpAkhhBBCCCGE3GUUQBNC7gE74S7cXFVVRVlupHnNJERt4BzAh6kTsM9oszWiqUSdK7M1d1yFbe3HYG00WmWI1tqsKKIoYoxF/SVEZJzn3ZNRf4kBVFU17kzwfR8R8zyXUlprx80JbtjZWmuslULIfGCM0UYPV1eO/RG5WRzHzAt0kflhLPdeb9DJN9fN3ukzACBjCOAWP3QjwEEQjEajJEk8zgDtMJrWXAJAO98sZcAFv/EkmD/7KAAAsMHGS32s9iiGvhMjc/Bqfg3wl3P+cu5CYQ8A4sp2JYbM8Kaajv2I23M4ejxQvu/nhv370DvhmfVml/7oEsVLTeulyxVAxQFPiGra54/Ntl6+toFwR30d22jgV01w1QSwirA6gK1dN7NCJ8Kc7MSzSRiGgRtyBwAhhFvhkPJoQgghhBBCCCHHigJoQshd4gac707iXNf1YDhMG1sChyABIYBF0DqgD8H210MlZFPiRDCtVWC5NMq30gPEMN1w09Cccy9uMbAAwBiro46RHiBWYUcVI9/37cQag03TuOg5CIIwDBHAIGguguk52FhGxDRN3bzw8T0me3EZepOnXAihDp7DLasSvP2TU9ZrLcimZH4bqiEAWGvdunmbyXwr3wwHK0qpRqiR30a5+y1iZ+aZuPnBtX5xf/ydygy3RhfgAXgwBA743kTEyr5RyEGNABALfCpuSgvfGOw5kW2BLZpgMYeXLldwpOnzXmoQi0aAgdfWENZygFyBnRHNqVieavlT3Y66/hPnnI+npAkhhBBCCCGEkCNEbzUJIcfC5a2uW+Pu3GKv3+8XVSl8UD4ICV4H9kgCGVpZpkJX3GhAdBOgadjl3VnZX0IAIz3tRUYFDE00XLOMN0ECAMBYGU8hF9w0ergZetIgANoaWVgMAaDxQlkXeZb5vj8Z5SmlPM+rwnbpRXZjqT07pzjXm6vVylUhpSvisNZmWXb8j9N2eZ4nSeJ5npxZ2Goj2Zen5GE6QbQKACBHE5SjLMuklIWKAKDyYr8qAMAyjvvHnVK96+z0hasbAzxMPcVhcUB7UKd3m9VDvOnZE3D8QMsupqM3TQsALLD/TNUZ34wMG1gRgYamEoHkVfFcq1FKbeZVK/C/0j9sPchxmjyeAg3wZeMvD+GFoYZrGwpsws1jMZtLvBNzs+PxfNcf7Q4b3KPdJoQQQgghhBDykKAAmhByZLTW4wDr7rDWXrp8pYy66AWMxxDHu2+HVpWpqgtAO47TEBG4cCPMWfekV2VysAIAefckAHj5wCuGRWcBgTHEoL/MOc+8JCoHbo47VApNg8A4WldaUdd1NRrFcYyI49UFgyBQStVBosO2XbkydSYZNJUKY5MNAUAIkU4sQniXJUkCAMjY1ky3FxzmUspov79cdU8cZuPSTyovaosNbk3fi4GxWgX19BnQDUgFAKzK0d97Mp2Lx8/OzlaDuZmZIPAZQF6W11Y3vrJ+m6loJPCHwwwApPK+PlCl3f16tqXPAFBa9vWBsjcf01it+Qe8vgGrlKxk9NW+/NEpZq0ty9KzuinNjya1VF6DIBgAAgJoBAbwb3tPSd+5JyN9yrdf6qnrufN+j1UDvGf5t0cAIwtLqwJsyO1TYX1mdmp6amq8mcujaUlDQgghhBBCCCG3gQJoQshtcqPNrlzibt6uRUzT9NraBsycAsZg+hTskbGxIo2qm+JdN4yNiNZaIURjtO7MBelm3F9yG2SdE+OvETHuL7nVEaVSVdT1B6sglRBsK2dHZAB5a07oCgCkKMKoXcZtVl5ijLVarSpo10FcAyBaf7QRn38cAKYeexIA9GDTLUKYJAkwxhi3RjPG8jy/a49nmqZJknAAEELNnznMRfTq1UfOnHZfv/rGhWL6NBw0IYuMD5K57adeb97YL312GF/3u/MMfM8DAM/z2knyr+uX8KAp5rEO0z8yZcdP16qqAEBK+b4g+/f8UD0YAiwAGNheHl0je62O3jfFACBA+6NTTWXQ4ywIgqqq6ro2xribu+nahHBT0gBwueRv5OLAiex9zCr7bEtXBlBXge+v1+xqJd7IXeJ9k+en6i/2Dgi+DfDU8m9l8ltZBZeWPbDv8dOnHjvvecpa2zRbfehSShdG03w0IYQQQgghhJADUQBNCLkFiGiMuctjzk5ZliubvZz7ELUAApg9feBFmOcbXQhzY28ZQFEUWuswDAFAcs56K2XTuG/z1qzK+jc2ZgwRGWNSKgbgFQP0Q2yqNMtarZa7Ni1VOFx1D4sFsNZGusxOPVbVhfa2VvPDumx7Us6fnNw3/9T5bXtrmroe9kPEu1nEkWVZHMey1T3k9mdO33jYn3zicWPMqyubddg+nr27jrFX10c/0mq57zjn//XJqf/r1d7+s72OAPzhrhmN0q1vhUiS1krN/qN/C7UeBnhH2Mei5juj8aXwHSK9bOJnu1ttM+Og2fWTqL3btI0xxpiyLAHgVBienRKMsW8PZU8fvDriTucDAwC+ABS+tXZaQpc3IhHjaHikoSXhUslfL8ScMplhheWHrMWpgX+7an/7B5sc8J0qf+/5E3EUMcYmP+tAZR2EEPKwumstanfobha+HauH4144D8d9eTjuhfNg3Jdb3McH407t7UHff+fhuBfOw3Rf7k8UQBNC9jMcjcqytIjW2jgMfd+/m7eOiMPhcGVU6LjDhIRk9pYuboVqvFgUg8kTwzB0sbIxhnPOPV8FsTV1E7RQKONHoEsAsMA4oNbaGOMHAQKAbvIsc8Hi6HpvhhDCzVMzxuI4BsaKeAYAbqTP/bWpE6cOk80J5RWba553l1qDW9fzXCakGWwy5TF1wA/Xag3qphIGIcTTp+YGg8GVtNJh+8Bp6NtmVKC1Hi+RNz3VXRCrK+bgx+qDnWby2yiKvrB5O4/wwPDFEh/l6UXrhqbZAL2PTeum0S5K3mY8LLy/oijcF08ryePgq4Nbfn1960YmDic9M63srOLWmqZpgiAAgJYEAOhAXUl1zsdg4gd4peSv5of6N8ACe6WJX3l9xGH4Dr96/6MnwmCrsGVyZVHO+SjLjNaddvsu/64ghBByhIwxdV1vbGzc6x05lH6/f/BG970sy+7JWiDHYTgc3utdOBoPykvgQA/Kyzmpq8P/+1gURf4g3Km9bG5u3utdOAJFUYzfzjzo0jRN0/Re78We3LTTXf7o+ZGjAJoQst1gMLi23n95s9ow8ubagVKAfW6OnT99cuelqqrKi6KqKgusAW44ByaYVEwqQINaY10+tnDYBHltfX2jRhu2mIigHe2aa/Js4NmGoWXWuA2KZEY0ZTMxkIvXV9WzTGg/NNK3Qu2Vk9r+GnRmAaBozfpZr/Ii5iNKL5eerHNZ53FbMmuCIEAABIZcAGPcNMi49sI8aO1yzU11yMlQ21QuHD/MxncoCAJjjNsxFsd++xAT0IjF8mV49NGd53Q6nU4HyrJ8c3Wjbs0ceE1To5V+MofsFgZ+Z3Qq5fTkKc+/c+H//MHmgUPQ/z7wPjFd+75fVZWbc79tTNcX8UZlh+ECwLoFJOu63lm1cUu01q2QvTPU50LbWPjmUOaWK7DNjt6PfSzVYqneCpgDHrxfNZdKca0SACDAe0ek/yOTDTIAkAwVg/rWn2sW2KtV8Oor/Wei+oPvOLvtuf3dV17/Zu562LOQmXllnpkNTi4sUBhNCCEPFsYY5/wO/24et7Is3X9Nvu9zfjufIrpPIGJZlkopuf/izPe9pmncB6Q8z3vQ142o6xoRH4J/YFw4KIS4azMud0Lkt/C0kVLe57+jdlVVlcsQgyB4oD8+iIhVVQkh9vnc5wNh/IvrPv8l/EA/W8bu38eXEHI3DQaDt5ZWXxqykR030t70bwoDfELm7zwxNT8zBQBFUWz2+hrBhjFTHhOKcQ8CDwK38bZfLhKUj0H05tLqXBImSbLrL1BEXFld66PAIAGvA96e4aKscq8YFHmeGzM+sdVq2ZXLQRw3E0GwlV7W3YrLRV3IugDM6nhrdTXe1F4x4Fa7ra21Nu8hgNxcqo3hZeF5HlaQRVPMGvehMBQyb82KpmK6scpTVVbFU5ZxlLv/V8fmzowWL7dOndvjrmzRRV6sXOWc7zpOeySUUm5Y21orpWSMGS6CuVPsoPds5aD38pWN1zNhgbNrb+c8Le0AACAASURBVCXCPjvF3v/OR7a92QuC4Olzp166dE23DzjM0Gst3NKe+/2V6R2HLrqdzsemVr/aO/g/nspCXVUAUFXVnfxXsYyT/+PiCQ8WK851k0iT+J7nedbaO5ldStN0JkwAQHH4cFcDwECz74yYQXbWN4VluWGFhXFh9FNieKYTrNfs9VxkdvsPsbTs+5l8b6LfFZsvbHoGYKniz001m6Xp+KKxMDLsYiGHBm7P93Nv5aWr5yNse3x+ZjqKIgB4zzsfP90ffPHScISqQHGpFpcWLSwueWBnlXlXmz92/tyD/k8qIYS8HXDOpZTxXms73wdc9uEC6CiKHui4c2v5Ys97ENO0SXmeuxwnCIIHIu7ch7XWGHM/vwQOaRxAPxD3BQe38I+6Usp7EO7UJEQcr58URdEDfeTMWlvXtVLqgXhq7SPLMveLy/f94PpHPO9D7tnyQD9ngAJoQt7OiqJ4+bUL/1kEFQgABrBLMDTLq6cSODU/s7axYcDLVXC5tACMsQCmTzCAw/+/zxiTU3M9gM0SdTbAImNN9fhjjwHAtcXFoQghiCGc2ucavHRT6soak+d5PXG6lDIIAkSM4zhvzU2OIQtd+ekmwFZBIOe8SGYAgBkdjdbquq6NCYIAGEPGAKDYXAcAz/N83zcqNKbhaPzBKmOMC8EYQ4ts6WJjTKvVyvtrhTEAG0EQ1LNn9xqs1t2FzVE23drzbzNaO7jyZqvVGjd7HK0kSWDiqOnWkDVj4cJ+Cw8i4uabr35h3bcTBxQQ2MiIr67DV9cvf3ymfvZd79x2qWfOnXrp6opJ9vs53qqqu/B6Ba8v9nmZnfTZ2dOn3OnvefIdX//GRXPQEPS/9dXz0y24xY7I56dqYGARvtTzAMDn+LFuY639l34AAAu8OuEzY0xRl1jDqC4553EcJ0ly2x/dQsRYwCuZeDLSdV3Xdc0BPhRINxefpikI4IrHcawtvFYILqMvboqPtYr/oYsAYK11/5FYhNLCS6kcaP7V/o23fwPDXf2IKvC5qSYQOOc1AIAIL6V8pbnl/wfWjVp3T9iNIcCAAQgGp0T5qGcz21xobiwvWQNfbPjiBnxx4xoDXBD1uzr8qXc88XAcySeEEEIIIYQQsj8KoAl5G0HEuq5/cPHKhZFZMe4zZcnOzTwwzwRFHPpqak54PgBsAoiF+KhmSxhjMm6jF+TLV19e6bEwgWRurz1m1vjpJre6aZqyqtzFlVK+77tFAt0x5HGSFY7WkAtmdFVVvu/neV5yHoRREyRGekG6EaYbLogcZVmSJMrzGIDrF2acJ62W5bIOWpBtmmxQ13Wr1ZJSuoeurmsA8DwvjCIAcFOfCKBVuF/9MWOw77HKZuWKq3G4rYfzUNzjk6YpIiZJsnMJxEmmKl949cobhQLY5yAw+9KG/+I33vyfP/ToZIzIGHvP2RNXFxfX/S7wIx1HYsx6wd9cGcGVi88GxQ8//YTnef/T463/+8IBgS8Cg+u13VEUhRwLe3Du+a999dxUw9D+eLdkjI00Kw0Egv9Q0ryYyh76ALWUMoxbTVVora21d378IEvTJ+N4MsLWWrurdZ8bSNPUfXsWQFr5XFtxzt1LYNvw9buVCNshAHytr0pkk10lDbJxETYH/PhU856WfQ/UBqHXsJ7mvYZVltW49dAdDkMAjXBZh5f3XaMUgS0bf3kTvvQflwDgKS978vTc/PS0UvQPCSGEEEIIIYQ8nOj9HiEPv7Islzf6P1jafEuHuDXNustrv82aJyLTmVsQx/bZE1MVzWigjYXuHGOCnXhkry1lXXh53xpT13WuNQC4sl0AQERjzM450yRJttYM9H0AcH0IcZKU8XSufACIeovjS43XDGQAiMj8MEtmgIEqU1WMcP1aaozv++4Wm6ZxDb9xHLshU0QExkajkWsfq+MDOpSZ2bPpIL1ywZNy3Mh8HNI0DcOQMZYkCSKquVP7bFyno//28lqDh+pJ2NDiaz+49NGnz287/cypU2cAfnDpatXe49DCbeGDdQAfgP1nGf3nC4vzvPrA6faPhKNvFq39L/jiSD4dhkVR5Hn+4Q7/Yu/gRr8G2TeH8n1R6T66yAD8JPlyz3tPop+fbl4Ybb2CBENxvcHNGFNVldn7Z32grUnn3ew8XWvtPi+2K/caCcPwo1MMABDh3/qqwq3nGAN04bIF9sWe95FO7YEBAL/KTwCcFCxux9uekCPNLpW8r3l5iPj+8F6p41cu5nAxD0E/4jc/9MhCt9N5oD9JTQghhBBCCCFkGwqgCXkIIeJwOGya5vLy+n+mqtzqyYh23XiWV+cT3pqeEcGxFM8hYj3Y1HUFYQv8ENqzh4mvvLyfjkacc855FEUgFUcLAEVRcM53HRZO0zSKIimlG1UOwxCjdh513LmiKY0xk2UUiMgAinjaKh8AZJWprJ9lmVtLLggCpdTkTCtjrGmaut5a0W4ciANAkG5UURf3HvhFvft0c72+xBCttUIId2ePdmVbKaUQomkal6K6mgiu9mzlM039/31/3dzKwnff3oSP7nb6yupadYgFCW8JNhXAjex41fp/f6UCOCB9BoDMAGNMCOGGiH+8i5cqeaE44C/gQPPvl8GTSjdNAwBpmj7XTV7OZNiM3hMoxhQAIKIbPVZKeZ7nhuLvsAz6CI2XpZZSfqRjOeevZKJX4/kITvp2qNlixZdr3tO8MvyMV7daLVdON8673QuhLEtomvOMxZ3YAixVojS4XPHyFjp4DtpVkK9U8pXXhgCDaa4fbcvH5zpRGLiHlBBCCCGEEELIg4sCaEIeHsaYpaWlPM/Brc1i2Yu5VwKfYnUPt2eO87w815KtmVlXsrGLuoA8haYCV5s7e3r/HontO9M09caKCRIWRhB19ki/d8F0HaYbDCCYWTDKR2BY59xohtaNCe8zYeruexzHPOlUUXeyFkNWuY27TFesqbTWZVmGYYhhy6XPXt6XdcE49zzPhbawo9PAtXAAgJuGDoKgLEvOuRCCYyWaUvt7tjwHZvcAWiYdaLbOcjUOh32YDjKeIVVKCeWBNXmeH7j+28U3L5mJKvAPTMOggTf2LZawwMbtw07TNK+sD03Qvp3d1nVUp430axkEVZoH7ckfYt/c5t+szPIvD4IFz393ogFAaz1nhuen4sWa/yCTsHfRxEnPoLlRG51l2VNhKEQ0XrB+fBzCPanckzNJkiRJiqK4k2noozUelz7L+aOR9Dwv1czj+FRszosMELTVTc0ZgJTS8zz3JAeAsizHC2OOB7Q7AF3GzrcDRJRSDg1frfnlkiOwkONTsUaEBiE1fLnmlWUc0N5Km8emVZt9+HZ/+J5kc8GznufNzMyMj/cQQgghhBBCCHmwUABNyAMPES9euvziRrWhpWDQoNI3l7dOps8neHk24a35k1zKyauAbABljtYwAGOMMaaua9d9rJSSUsL6NUymsKl5Z3qfnTFFVm6s4vQCk55bpXAv/mC16szvcnekl3dPjncsHiy7WNZeX5N9PNS5qyRJtArqeEoWQ5ENqtmzWzumAr8YjCea4zgupk4C4wAQDZbzNK0QYSJlnuR53s502MXT41BMpj3RVFWyy4ODRkdzJ3aertOBHmwyxpgQYO048rtzvu97njdecy84cbZZuSKEkFKC2rN9wurmm/0b6XMi4UoOq+UBt9WRZjJ9tta+3Csw2KVbfB+yKVvlwD1bmqaJVBNVKQAEaYkACGwQzaAQK/r2V1RHYMs1W970PIY/0kLXRnLKs6f9pjD4tYEfcNxZLvFiqn58KgxgK3hFRHeQI4qiQgQ+xzzPXco8WVjhui+iaCun3qco4+5zK1a7J7lmrJQyCAL3ujDG7P/imoSI4405wEnGzkaSc661NqUBAB+gxdhpjyul3JGPpQJVkyPAd/Vh16j8Xiq/BxhwfDJdfiVbe1fUPH12ods9oPGGEEIIIYQQQsh9hQJoQh5Irgf5xR+8+p08qNDNunoAALj75gu8fDThyalzWxdG1IsXXb5sjLHWSil3lga45oEb8dloFEURlikAsNaUGWwIIWD+rCvZaNIhmz8Lwof5szfFeIiA6JUjVecAUAtPmZoBGCaYrqN0Iw06zN++iB9DGw5WAS0CuMUGXcB3YDlsnudxzMqVK3rhrA5abhnDcLiapqnLlaMo4kLUXKG1THAAsAhxHMP1Dl/OedM0cRy7wo0gCNxM6M4S3jAMxzvGObe42/wy4nS0vVMbEZvly4joAjtdVS4v3v+uHV5VVVJKxpgbGK+XL7s7LmYWhLdnwfflNy5uPYsAACDVkB4cnOJPnr3R3IKIL632ce9J8G2ClYtbCzkiup+yi3cZY2VZuvUSGWMMsJuv90XUAAfAfQaWD6NG9rXhLin8hzsNZ4AAX+kpjTC+lX/peQDwXAebqhxPNOd57gtRiajxIlGm46x/zIWzSqkwDO98ccJj4to23Mv8SK5q54nuaJaboU4AgjCQUj5W6ouF2GuFwyfC5kopPtLVtYVrFV+uRWXh+5m0CC9m3ndf6SH0Torqh+aj82fP8Fv5WAYhhBBCCCGEkHuCAmhCHiTGmOEo/c6FK681sQUGsF/SJ8DOi/rRloxOnAZENBoH61Dm1tqdS6UdcvzW5YMAAGnqFrWD1SsAzLZmWdQBRKZrGK6HnNVM+HAjkLXWImPW2jrd9JIEAASaKN1AxDDb5AXPuyfcPDIABMM1XWTpbkXPYy6vdF8rpYIgcMGkEV6WTIdZT/QWGWOWCWa16/919RoAkDaWzd2ooi4781F/pWlqIUQURVpr1pnj1cj3fbeeISLsukBgURTuIgAAjJfJjspjxBgb4Nvjzmb5slvY0JVWCyGOvDJ4fIWuRJsrb/+1BwFg0OCs1KnlpT1sqPeuxJw5fXL87UtXV2xyyOFWbKfr8nq9rzsKMn4SFkXhfhCu11sIwQCmTP7hthFCfHsoe/p2YsdzgVmrebHHGnr/0vPaEh8L9Me6DUMLAC7B32zYq5n4yiD4WJdHHIqicIdkjDEmG7WTREcJmGbcUzHpqOLdh4Z7lOYAzrVDzvnk2Lg7CMEYG2o4H2oACAQ8HtnHQuO6d9zTg3OulGKMNWXxvVff2Kxh1sPHHzkXhsHxLeNJCCGEEEIIIeROUABNyP3OrSi4Oki/v5IuGg+AAezXbyDBnpT1uZYMp+dAN9BUuHLZGNM0zVFVAXie53leXdej0SgIAtOZY00Vj9bc9buQV5pGI7oKgm0XL4rCxcfj/eGcR7BcxdPIgCNa6Xm+2Tl0LIRwObIFJhikaYqILqA0wIBLAMt15W9cLYpCKSXitjS1mwJ29QJuEcJE8ULXVnoAAHUZZZvuhlyaXLdmQXm2zjjaJkhUmQKDXduZ3faICIzVQbIzpcbhhndil9hXdGd5mQezIRht0sHO2eoj4Y4Q8Lgj23tWFpi6avI0zbKG+9PnzrkCEV4Xg/WN7w73K0cGgI/Pw7PvfHz87fcvL5pDrDqodNUq+lVjpBJwfVLYPaOsteO4dvx1nuetVquu63E8/Z7Ad8P7jDFk/AeZWK4PXgqPAT4RNOd4HQTBFzZvDHo/Eph+DQMrAGCo2asp/0CUXTXh45HNsgwRFcCzvvR9HxhbqsSGSZ6Kja5LF5q7iPxS4z+aKACsLAsEuNfafdW8cb+Z7Ppw6zdyzquqquuaAYwnxt2HD9yvFHdMoiiKyUy/DaAtv3DhDXcgJ47jbrcbRRGF0YSQew4R33jjjb//+7/v9XqdTuenfuqnnnrqKfrtRAh5W8HXPg/1xmG3vsUSP0LIg4UCaELuU4i4sbHR7/ettSMN/zH0APZs7wUACfZxvz7po5SiqhpbVsViZow5wmIHznkQBABQFMW4KLksS2WWOeej67UPVVXtv5jezmDOBXmiKBhjXhA0QjFAbYwLknZ+yh6lV6lQBS1Z5QJNKoLA1E0Q++kmArjqBisUNzUDcAUILuJ0gXgYxVZ6XjGUZWqMSYvCpVdKqaw9j0Uq0l7RnQchw+Gqa4Z205rbHkz3aOR1AwuP7HpPWdwZd3SMmapsNlcZYzYbCSGOtp+BMeY6u4UQIumI1i7Rc50O63Q0QmGVb1UALILkpjUirRe2Tp356Fx96erqlWqXdQvf3dI/9vS5ySUNe/1+09qvHHwLYqvoA4CvhCsRllK6NQybpgmCIAiC8YM8PnRhby7Irqpq8ttHOX+q7RegvjWUZiIxT4T9UFv3NAOAjYZfKsV/H6ofStgb2dY2jwb68cjWdX1S8u9kwQfb2gCEHPPcPBEjAOOcuw8KjNPkBKAjBIegkkHb3yqGzvN8gXNrg5GVicQ8zxljrp7lfiuAvj+N58SllEmSTFZRT+b4rsTcHfqavPhkq/VoNFpbW/N9PwxDWreQEHJ3/PZv//bnP//5D3/4w3/+538+efrXvva1n/iJnxj/LfN9/+/+7u8+/vGPUwZNCHkbaUZQDw+7sR8evA0h5IFFATQh953FxcUsy9wwYBzHr+TyWrXngKcAfIccnTh1SoKtN1eL4sgWspvkFrUry/JGBceE8UDibWdtUkrf9xljtdkaO21aUwq0EDIbDccp0jilMsC1HwGADhJEK9I+RwsbSzwMAQC4AABbFUVVjdNMIUSe53EcB1HMAKPeYpZlJaI7y4+iojXXcAFGx02eTy2E6QY2NeMcGDfWSCF2RvlZlrVarchTJutV8W7VEzveZKYr15RpXKTeNM2uj+ctCcNw3IvNg0hECVMe42LbTecbq1WR50HHCg+4gvAQYbHyHjl/ylxcXKy3guazvn73XPDoyVnXTDJpPSshOuBfxqAcRc2N+2uMCYKgrmtjTJ7n1tqyLF1hSFEUkxUxWZYlSaK13rXmwlpbFAVA8eHYc9Px/9pTBlhq+Jd66v1tLcvRKcYem4q/3leu/TkW+F/adZZlec6NMWEYfrhd1XVttHaz6KPRSAixraZmvNtZlnGAYqKO3Fqb57kAKMI2enGI9Wg04pzHcVyWJbVwHJIrXdnrXPc5hgOvxD2d8jzv9XphGHqeNz8/7z76QAghx+GFF164dOnSH/3RH02emKbppz/9afdny32Mo6qqT37yk1//+tefffbZe7OjhBBCCCH3DgXQhNwXjDGXL19ummYcVzHG4jhebfiu6TMHfI8azJx9lCnF2AlIe3rYP2SP8+G5fQCANE2P/MonufdmAOAJ7ieJMabKhyoMGWAURTtnhJMEvF5hrUXEcRuDm0fOsmzX+euiKJJOt/IjLx+mWTaZJodxnHdObH0jZOPF3sa1rCyTJKlacyrvMRGkg96ue57neRiGsil3fXT4aIMlZ8ff6v66Z/U4Gr7DXFIIEYahmjvFlbfrBlbrweULeWveKh9kC25jGpTxJ05139Fff+KRM60k3mdoq2EHlWCg5Vl/c/oMK9Ipk9d17Xnezp/suNRiWzSfXu8c3yegHI/BfiTxlfK+2PMssG8N1fNTcZZl2uK0sku1+LGpWsDW8LILNCfrIMYOzDp33UA2+ctNa6CjH+uKLMtGo1GSJG6sO7v5WUeOm7U2y7Isy/r9fhzHnPPTp09HUXTwJQkh5FZcuHBhenr6fe973/gURPyzP/uzS5cuAcBnP/vZ3/md3ynL8pd/+Zf/4i/+4nOf+9yf/umf0hA0IYQQQt5uKIAm5F7SWrvceXLkU0oZhiEANBZ+kN30IlVgfijIW6fPCeUBnAAAbGrorbg2gyPcMSmlm049pnribbZNto6D7zzPd435tu2V53luXbJ96izCMDR1VQ/6qNTk6oV+EN5InwEAUTYFeL7Xnsn9GKzxjd6nyWS8e3F/KW/PI7+Rw2La75y8kT7X60vlaHhUw7BBEMgw9udO7jzLGj24djltzQMXMHPuDm/IBsm7zgcHDpBGuqyhvd8WjOczZ6HMujrbfUnHCVrrnQPIiDj+KSRJwhhzJeA7L+46Op6fSr7Y8wDYeiNm49haezawKzVfqviUPvQnAW+R1vrZuPrSILTXV9S8O68gsg/EreMNo9HItfqcO3cuCGjRQkLI0VheXo6iaGbmxioI1tp/+Id/AIBWq/Vbv/Vbrpfp93//97/85S9///vf39nNRQghhBDy0KMAmpB7oKqqtbW1NE3ruh4nku4D+wDgFtrinEvPNwgA2Gb6HbFtz80LKVHXLB9BlcPsaciHLB8B7L5E3u0JgkAIUZblPQzOkiQpiuKQhR6u7zjP833GS5VSblE7V2PNOVeep1VQR91825tAxorOAiCKpoz6S01dpzePfru3kZPzuW6BxzAMha60tzVfibrpTt2oubDGYF25jmP38z3MXduVS+fV7AnuBdvOavK0t75eteehMw6mUVqtmZzMfJk1yIUyDUNbSx8Q90+Er/VGTx4UQE912v2DnoNy8Y0kjo21RVEEQbBP/Uhd17sOO4/fsadp6lacc8XcVVXtTPabpvGY94FWvdaIVzLvo92apcOPtQJrbX0Mk8guE9/aT0ABNOx833Fz6ADwyiuvBEGglDpx4oR7Ft3rXSOEPMAGg0GSJJPrIhRFceHCBQD47Gc/6z6eBQBzc3PT09MXL150Kx/cm30lhBBCCLlHKIAm5O4py3J9fd3lbm5meTI4juPY9T4zxnzf51K9OMAfbjVJ6HFQ0FR2c7lsmq13Ml4A69cAwK34d+cLnTHGoii6Xqd7j+012bqryWXKOOeTc7KOlNLz/UqbOI7dWc3cuWbvyMnPeqzMyrJMb471kySp65pzLoRwaaP7eQkhMIgLP7HXqzDQ2oQjv94rgoh69Spj7PbqgN1EvDsm4QcBjxLZmtoWGdumWV3faKIOdBbGJypTT1V9BoCIq9F8ux5ZxnxdAQAHyxC11kqp9WDasP3+FoxUvP8eFkX5VgmwexHIFlZmge9zzl3LM+d810LnG/fIWs75tiMraZomSeK6LIwxaZq6CuxLJvYldiR2JAJaY4yU8molWhIjAXPV8HTiMaZgx6z9EXJxuVKKc/5cWyNSuHD/cp3dADAajXzf931/dna20+nc6/0ihDyQdg4BjEaj1157DQB++qd/enyiEEIIsbGxcVd3jhBCCCHk/kABNCHHzlq7tLTkJu/g+hpZkxtEUWSMsdb6vm+kn1dNyDkHfG/L1nVd9G9KY68nmHt2TdyqcdvGeA/vuduuynXT0MwLsS6KogjD8Ea7tOcB2nzq1P7XIJpSNuVot+FcxpgNW7o1DetX3M8riiLP84qwg8FNEW2CtZfc6KPApkZEa60bfz7kvXMVAS6xdfvvzZ0S/vapZwAwVbmUNxjdFJ91yn5ga2utNkZKOV32mmzoKdVo7dJbt5mUslMNNoPpfYagua6XVlZnprqet0vGXBTFqznCjnHs7VeSj6SULrL3PG+fIH78UQBX17ttQUKXQY+Ho93xkkd9/2Ihvl3ctArirLLvjao0zQGgLMvji54n0XqDDxZ3yK0oiuFw6Pt+EATT09Pdbvde7xch5EFy4sQJt6qw++MFAH/1V3+FiKdPn56fn9+2sRAHLZlACCGEEPIwogCakGP01ltv1XWtLbwwkrmRLYnPtm60CbtR0H7DvjGSETMnWT594mQYhmF/jRl9h0UNhxEEgZQyz/OHpqbWrUGXCMGkjOOYce7ySkQoO3OIsC1kVflAVVld177vw/VV7EZ7B8SmNc0YU0oppRAxTWaZVNu2SbBRyU1tyNYaN/CuJuqn9xEEgbVWKSVmTnDlMQBE6/Hd37LqqlzKNfDtv8xTL8nRttI1pZQxpkx7sNu6eW7FPw5otz82AACAqAYraTJ3AdiFnma2ipvsnbPt8UpuaZq9UTI4xNtp1pRMBr7vuynyfbaM4/gvv7n+2rp53yn1ha8s/cH/+vSBz0+t9flETpumKqvZxHurEFcrsdEw+owzOSQ3wJimab/fj6JISjk/P99u71trTgghAADw9NNPf/WrX/3Od77z0Y9+FAAGg8FnPvMZAHjkkUempqbGmzVNo7Vu3caCwIQQQgghDz4KoAk5eoj4yutv/NumaICPiwk8sB9om9FoFIZhkrSGjf1uqp62o3h65iNnZrcuONyA9V6WZYwxIYTr4nCp5a4tt7fNdSA8NLnzJCEEMGaYRFsWWQYAo9GIMRYxVnRvLDYoqszPB2maVgDucXZ93HsFxK7cIxksZ92TWfekLFIdJtsiW0SMdaHa28cn67Ula22SJIjoIvL9SSn9U+cnT2Fs94QXEVeGxa7TxzPlJgAwpZqm2Wf4N47jinu7pM+I/mBl2JqvWjemt5CL1G+/MIJo5dr7zp+6cPGtdOoUHGKWS4w2WmGgtXZ7IoTYJ4hHxNfWDQD892+tvufxXd6oF0XRarUmF5w0xtgi7/r+N3R4mpnTtv/kVAIAfc27u3VJE7KT+/yE6ziy1i4vL3/v4tXHFmZOLMxTSTQhZB8f+9jH/umf/ukXfuEXfuVXfuWZZ5753Oc+5/7Y/fzP//xkMfRgMBgOh/Pz9CuFEEIIIW9HFEATcpRGafrvr15+o4kAtg/GTisLAGEU1ci49DoLCx/dcXHWmgZgSXcWEDDtBRaN0ZNB251zPcj7rP92/3Przk1+6yodpJSeH5RxF/JBMeq7bTzPq+taKaWlf+Mq0Iq6AIAkSSywSus8z10PyV43aq1ljI2PAehw+6J8iBiWQ396btvpuirHNSAHjrS7hdF2DGrvDhFXFhdtMr3ruavRPEeTVMNA7h71RlHEOB/5nVJuz695U5qqGra2f3B4LI+mvnvhEswc0GfidhN0k5gqL0s3ZOqi/G0/xEnW2qmQv38e/vJ1/b/8j2d3xseuxGbbKoWuV+Qj3SbToL2kRmarQmpN2TM5pG2/aYMgmPHFaDh4eXUUmOLZJx+Prw/+E0LIpF/7tV/767/+6xdeeOE3fuM3xid+6EMf+tVf/dXJrPmtt95aXl7+yEc+QgE0IeSBhi/9CcBBi4/f2Jrq6QghisQ+LgAAIABJREFUWyiAJuQIVFX98qVrL2zaCgTAtpACu6w57ZlpDyGalklnn1edqQrR6kJdQdrTVXWErbXjNQbvn6Ln2xbHsXvzlue5lFJ4vpGeAma9gOX9IN1M05QxFsex9QKpa2OMEELqskF0Tcdhb6lsz9XyRqMxjnqmHCVJMg6hgiAwxowTZ6WUtbaqql3fNaK1YZ2GO9JnABhdu+RJccgfZVmWUkr/1COH2bi/eLlJ9syIAXGm2GAAhovJeWHXi11wbz3YregWUQ3X0mQWwn2XFARQh/l3EnFqtNI0jQFwTz9E1FrXdb1X+uxqpmci9hf/uPRH/9szex0p2dklAgBN07ifVxIEkslGiDtfnJO8bY1fs10A3/evXL68WPFuoJ5+5OTWSrCEEAIAAFNTU1/5yld+/dd//U/+5E/cKZ/61Kc+//nPT44/A8Df/u3fVlV18uRJCqAJIQ+2wYVbCKD3nmghhLzdUABNyB25trj8H9cGy8YHYDBRRjDN6zll5qfbfrsLa9cARNM0kA9BeeBfXyoNEfMh0w0oH4rUNjVaW1urtd41X7s9Lno2xjwE0bOTpqlbOJF155qw1Vx/I8ebKo+nw3QjSZIaeNFdAMYqROWnWsjKCwEg7i9ZxkEIBjCZgLLWlNTF5AS0UopzrpTK85wxFgRBWZZw+vFdd8lLN8KF07uexTk7TPqslGKMeVHszR1mrBjSlcV0n/QZABhbi7Y2iDav8qkF35SGyU2/jWz3ZmSmG1uXaTJ74K13srXO2Uf7ly/o2TP7bDadriIAIroe6qIokiTZawzcVaL/y2vpE+3i597f/a8/PJ3n+T5NHa692pVrbzvr7qw3SN4+qqqqqqrLmNd4ly5d0hanup1TJ0/e6/0ihNwvkiT54z/+4z/4gz/o9XrtdnvXBvmf+7mf+5mf+ZmZmZm7v3uEEEIIIfccBdCE3I66rr/z+uUXR6wBAbDV7dBh9SlRzZ9ckEHIxI0XF07Ns1FPdudA+W4CF4oM0l5dVeNih8OsTXerOOdhGDZN89BEz5zzIAgYY4yxorOAN6/LZ5UP1uSdBT/r+abxB8tF1LFe1IQ3eoTzZAavDz7LMtXBTU0aLgV28WVd1zpqy3yYJAljLGvNYVCx3aJbrMpkj/QZAKKF09hfr6pqr34PIYQQwvd90Z0VYbz/I2CNMb3Vk3Oz3bnp3uiwz5l8+gwApLC9NmSSzAeZisE/YAcAIM42u6fOAUDn7GObvT4Gu/QSyI1rbU8CAGPMLe3oTt9r7EsIEUXR//6PK+8/rf6Pv7z2B7/2VFmWB74o3LGBOI4fmmc4ucuEEIc/2ue6+KuqCsNwdWVl0O8LIebm56e6u32YgBDy9hPHcRzv+Wf0mWeeuZs7QwghhBByX6EAmpBbc/HS5a8u1ykK9/LhgE/LYXd2xm9PMb7HYKnyYfoEA4DhBpS5q2B2fbjHJ0mSuq4fmmDO1W5orcupkwhsr4caAKLBCiJazov2AnAeDpaRq7I1HfaWGSAwhoxrP+LGyKbQxkDccRdsvKjxwijdcPXEVVUlqsjnH1G9Ra01iP+fvTePruyq7z1/e+8zD3dQSSpJpapSDbbLZQN2jAvHbhseJonJ4+V1cFaHuAMZVngJrIYkJKTzsLuXaRIIkwmLRdJZyQpxaDq9eBiaBJqXRwwvMdh4ADxgl13zpNKse6/OfPbZe/cfW3V9S7q6upqqpKr9+aNKOtpnHu493/3d35/W2qnQig2dch54YzZNkg5ZEIwxx3H0gV2dx+RGo6d2D+8gJkGDzVKK65YvYdQnAq8XFmyAENuyWk0v8ZYdN5K53qEdclMRQmXHqi+6kMtz48TQpJF/gewuM0YWHw3btv/Lj+oFhxv68NcY/OPj02+9tdzNlm9Ez43iKkHTNNu2z2doyBRCiO6LVcoymAkHS4ipycnJiQkq0I0Hrt3QrVUoFAqFQqFQKBSKrYsSoBWKrsiy7KkXj7yQ+wBAgAyRbKfF/eERQAhgoMOMQnAI6pCElNIsyy7BpnqexxjrXkzZ5Ni2TQiJBYbq/HHuINMiwVO/j2s6AGBe2PUJAZB4Vac21jwgGGMUhYwxhJDnQQQXBGi3AgBxdQj71AymMYg0z7WJU/H2kQ6bJxoz9kCnkfhJktiW1eoCXoDjOMZgp9BnITipT+0buaiNpmkkrTOrk6m5S4z6WOBvXzy9P6tZiM+0qM96kQ8NXnS1a5aNx8d46dVCiD3BhBSysyxb3MtCKbUsa7EATSk9NZMDwLFZDgDffmb67XcNdHMNLyhFqFB0BmNsmibnXNO0KIqCIOjRdSFMhFDbrpEOfL9+UU76v/3g1DV6dMfBvbZlqYBXhUKhUCgUCoVCoWhFCdAKRScYY8fOnn9qIosE8ZF5q5e6PT2a4y8/JwAIAVOjrKBLhd52AyEEABzHoZR2TraVWQRFUVwxepxlWcQwM6eS6WaXswiiNw2xIs8yyy9MV4/rreJvUxWdN89yDhf7qYWmp9VBEMJtjOe6DR3gvNK3TGEN03GTcG6pYf62bZu9nfRrmsQDtqb3t1nLwV7/hbkCLs4hWSla3GirPgPApFndkc+++rsQg5U2aRu+5zZafi2KoigKWQzQNM3FnS6EkMVKn67rGAEAPDs2P/1fn506dJ3XOR5hPphboegO+ZD8zqzOAfVobMgs9essiiLOuW3bQjMt0xZF3mVPIV5Uf+codY8+N+Gg4rZ+85pdQ/LprVAorh6iKHr66adfeOGFWq3WodkDDzyAlx7IpVAoFAqFQnFFogRohaI90zMzT56crDFtwGCv63fNyraVmdoEh6lRaJE7u4cQYhiGps3fnoyxoih0XZfl1IMgWDyL4zic8ytGejYMQzetpNwPS5TL6wZhuZAnTn2sQ+AJY8ydm2CYpH7vwnUhFFWWKTJGGlPY3dm5jd0/RHgh7cDWxVZoXdfNai+2ltS48ygYLjlLvaZalvlajF6anCtW64NGjMba0go7QqPmq7WStrMQay1StRDS6ax7JQhikFqbEFJftixLCNHWTyqEWCxA53m+zSVxvUjofA/C88fnfvpguYMALW+HFVlWFVc5QoggCP5d1fvXujFbkNmCINBv9omvi6IoIqE/V9cJ6HdVjSJfMrRdIpfzaK1N31gstO9MsO9MnB3R09v2DvRUVUK0QnHl8/LLLz/44INf+cpXuomV/9CHPqQEaIVCoVAoFFcbSoBWKC6CMfbKiVNTjajSU923axAbF+sLQsDMmOgZaJ9BzBlgAjSH2oQQQgrWmqYZhtFWNV4AQsiyLGmaS9M0TVNZRVD+tQCsAeec+77fujTHcWSo9Or3eTOhaZpl24nXW2j6GhdlRjWSJ2madugDiOPYcRxmOIRmmBXNcoWYpmJqVAzt67SCoHbt7uGxjHcIpJbkObX7BvPZSTnMX/4rhNC9MvGWTDqmcdRBfZ7fR8O4ebg3CMJT0/XMLjXrK3YG0dTOox1lDxv4+aSrT4FKOGkPj8ifRUH59Hncsx0Z1oUFJoJ4AAAIJUniOE4QBEvZk7MsW7xTeZ7/2m09sxF7+MkZALj75srtN/imaWKMsyxrDXq2LAtjLFXs7svHKRRNwjB8Y2VeOxYAPwp0APCI9oYStaFIQPteTbujtLBjQ17Ptm3Lq5dSGsfxDS5+MVrySXWKWqdeqXto+lCvdt3e3SqXQ6G4Ujlz5sz1118vf7YsSxY0vrybpFAoFAqFQrHZUAK0QjHP1NTUmfEJZ/uw1js42LfUm4MAx18gOIqwgeI5xhghRFT6UH0qCALTNA3DSNNUZhF0xjAM0zQBQGY3O44jTdBSjMamhSyXE03UpwBAGmkxxnme67rezOi4AjRo27a5W4nt7hJOlkMInud5B4es4zgIoSSnUPWscDb1e+V0I5zViywubVtqRkmfNe/5XWY7EPJ27wcAzfXzmXGcpYSQJEmcbf1auWepmViW7fCtLh1Svu+9xvcAQAhBKT11fjzEFnNKr25CkWOamXm0o7fHcx1NqwBUZPvS2DHAGiNarpnUdACw3CkrnjWKzHR9yy8joqHyqwnURdggCEFLLgqiuZjXooH3DELa8H1/Kd2fc67r+uL7IgxDA+D339wfvMEreS5jLEkS+SbfHAQAAEVRnJsMLVc/UpgDBtrveXLebg6UQiEJw/DNVfSd2qsdNiHDTTszBXw8M/fZINOTCCGmaRJCcqRrGjxR1yKOTWTusdmwyXv1/PGGTsWSYlMotO9MwX+fOnWtRd/02v3K9qhQXHn86Z/+KQCUy+WPfvSjt99++8DAgGF06g9W+TwKhUKhUCiuQpQArVAA5/zFI0fNgV3+zuWiDBCGRQHQiBBAmGzrA8OCqXNCt/xemydRZ9ezTCNFCIFuAU0BQAhBCPF9H/p3Ypqh2iT0DYN00bAC1yZh+y4pcmAAmDzbNEdLmVtK3rBERsfmx/O8uDKwlswNe3YUYRxXBgHAqZ0XQqQdB9FnWUYcDwZ2AEBa6pMT3fpYlmVgmsJd0pssoVwAACsKres3SaNnu2AFnTpf3nNthz0VnO3wuvIyLwAhZBjGtSO7Fv1FysN9F61FiDNB2jNyTftlVd2l1qJXekWeXmTvatmXXJtX8aIoWjCjNO87jrP4T6/OnueOZY7PzH3p2xP/6d/P1yG0bfufn5q6ab83Npvden1fxggBUgC6xhOM8SRJMMaryLpRXD34vg8AjDHGWJ7nQogoDN7S45+M4HjW5l47mxEO5ohGi6JgjGGMD0fasFk8OqsfsOnhxMgEejnWXu66148Dejk1jjx1+p2v6XfdJW8uhUKxFXnssccsy/qnf/qnO++883Jvi0KhUCgUCsUmRQnQiquaoiiOnTqDewfNgcWaXdfYHtgXlGusiyyOk0TKYVIXQwhhjJtxAbZta7qR0gJt3yUmz0KeIEKYZpJKb3ORSDfFtqFXNT6iQe/QRSvt3wmTZ8Mw9DxPGqhl463og8YYO64blwdgtUNWBedi/FQ8MAIIkdlxC3UVh+04Tljuf3WVRe6GM1JvAoBlN0bDCADy6TFtx0i3G4oQ0nRjcHeHJpzSAetSeCRPTs4alWVc3kIIwQqs6TJShk+cAQC8fVczfAMABGe8RaxHtH0BN3l9Ni/UpdqYpjk3F/zdM8ndt/Tc/7enf+OegRfOxKemJv/z/7SbYLytlERRNFgGQtgdViyELi94sawPXXEVQAjBlhMVCCHgAkqaMDAkDEwsMg46iMcbRllHJrb32oVOUBAEO217t80xxlyI71wc6DyakR0lB7NACBGG4U6EXOJaWGRABgw2nmOAFT+vOKC/f2Hy3n1eyfc73wsKhWILceLEie3bt996662Xe0MUCoVCoVAoNi9KgFZcjcjyaPVGY7rApHeZQnNdwQoIG5DFCAB008W4mQENAEVRyKHc0qBKNA36doiJUQBA/fMl7BZ7aFFHX63gXHAunXRyTHccx6ZpbsVUXNd1C6wbwXRe6lu+dVuiOTy0l8/NeixNszRcrjCdtEMKIRAIAISL3A5nKKVBmkLXY2NdxwGAarncXnBdFYzm/TpcgkH6p8+eNfqXKZ8IAAghpOmCM4SwoLkQAioLz1ERR4BfVe6EYUWisNOg1ZVsWZaw3JruVEStbSgNIURmoAdh/NnvxwDwX48Vu4ftv/6Xqd/9j7ve9TOuECK50K8DANKUuhW7WxQbB2PMQuJ7od5BGp6kAADTBbrWZp7jTxf4TIRDhni7WZ6a02/yfF+k0jQdhuEh15rhxh5L3Oixf5ldzTAFAegrx6N/P0y39/YAQDNGSaFQbF1kZprMUlMoFAqFQqFQtEUJ0IqrC855URSc8zPnx0W1n2jrZEDDRDg+0nRwfAhqwrBQnhRZmue5VIRt2yZEAwQIQCAEAPb2HWtaY54IIVqVSsdxtmISruu6eZ4jRGnP0PKtFyM4IIz8CgDgUg/UzncIfW4iU0o8z3MbE0KIPM8pxukF9dlxHL6sozYJnVIVAKrVypnZhuEvk9fRDdns9HBv5dKoUahnmX6XZHrc1HVII9Q7JKbPZ3nOObdsB1vOgpZCLMy+yEzPymOZgQ4Atm2nbjU3nC/+4ws7KsYv3LBwCQAghLBt+8+/MxXmAgDu2K1//zQlGAPAdcMu5xxjbFk2Qq/GPVNKXdftkOahuArJs6ys6Y1imQd7wvBzYVfdPM+G+k4TD+NCdn6kabrNgvHcKJYOfe6Gb57L35KN7doxSCmllBJCZHnStSxToVBcLg4cODAxMZHnudKgFQqFQqFQKJZCFcNRXC0wxtI0zfOcc35ybBJ6tq/n2z5CSDfALYEQKE+LudloriGrBXrliu/7mqYhBOBVoNyL+obXuDZBKa9NtSqVnPMoirZiEEEURUVRCK8iyKr6wxDmk+dkJUCRJV0awH3fl1XywjAMwzDPcymVAoCsj4eWi6LW2Ks23p1VP544v5qNv4AQAmYndm/fdmnUZ855B389jSMAsHsHII0KhMXshLxxTMvGvUNiUdSy4VdwMLtgYsPvz/xtrutajhuW+nPdeuLxw2HK91dF232U6l6UCwB483Xemw/2AMAv3Fb91Tf2fOK/nAjT4vP/ePLhb5/JKPc8z/d9GYDOGJOVCRUKCaX0JjvZZy/fC9U9uyzWmtqcpqlPg2GT3V7ObyvRXeYqB538yxQ6evK0/JkxlmVZlmVb8RmuUCje9KY3zczMvPjii5d7QxQKhUKhUCg2L0qAVlz5cM5lmT7568TEJG5JW14nBNQnYfIsmzjDC6ppmrOtXzcMhDHi8/KE6N2BHB9Me+0rQ7XxporHGFuQTrDlsFyP2qXVzevWx1C1n4+fAgBk2l0KuEEQBEEQx/FiuSdNU13XWdEmJqKVwqserqdBGAIAQmjv8GAvosn500WWrnQXgnMn+wgb2N6/0hlXTa1eRwgtlpIluuMCABs/LQAI57yglFJd12mehaePRKePyCToVhyzjQqc63a9PBi6PdMnz/z1Iy8wgf/zz/UfnYEfHJ/zvDbVPhljr91hEgxv2GWeq+UA8Pf/bfKLj06/442Dlgbv/Q8jQcz+j//rWJIkQRCkaer7vq7rlyCuRLG1SNN0xFrPJKLnAm3BcBMZx8HiANJgB8y9qdqp2GkHHmsYPzpysnWxUoZe6xYrFIpLyx/90R9Vq9X3vOc9o6OjqhtJoVAoFAqFoi0qgkNxxSKEYIy1BjLUavWG5uByX1vnM4tDEjWgbyXJGJwDK8TsuFyRaZrY9lClF+ZmIZXJAAi2DQDRYBX1qtohZsYRu0gbJYTEcbxF1Wff94UQwJk5fRYAkGmnXg8s5z6eRwjBiqg8IMZPo21DAODUx9clhIRSSi13+XaYnGP4wIWwb03T9uzeBQCnz5w2BnZ29lALIYDzZPzM3pGRgT0ja9/mFdFTrZ7LBFpOukU9AzA7zhgHgDyfl9h0XUfVhVq5VemN5gKhtUTiCoHCxv/35LkTM2x/n/G//twA5zzLsnrCztaKhAV3jOiLw1J+4bWV50YnNE37f344BQCTDQoAO/usMAyzLPtf/uNIXghGUwAQQsgcFdd1lWCn2FBCjh+tmT/tMVLkC8ZYCCGEEEkYvLniNhj+UaCLlT3p0bOxPffiyTceHGmOyBFCyAEZhmGo/hWFYktQLpe/9a1vve1tbzt06NB99933rne9a2RkRNOWfMmyLEtF7igUCoVCobjaUAK04gpECEEpbdVka/V6HZnELi/5Nj95lvQNg9PGmLl46UAzCGZFUQAAQkgIgR3PKveCEDA7LibOCN3EvTugO+1ACCEKKgqKLWeZFxIhoMihpY30Pm/FwoMSqSG+SpK4NEt6uuoDsOYmieBBwVHfDqTp5txUHK1VfZ4PgOY8pbSrk4cQY2zBS+buXbuEEKPnR7nlENPGxquJkLygPM9FUBvY3m9YBoyMrHGDVwdCyEtqjfoYANBC6H0jAIAIIYbVbIO37xKTZwFARtNKSxchxHJ91NKsiR7W8sp2AADOk4mxR56aaaTzLrBfubUHAKSmdtse91svNvKcnqzrI2XSeukSQrKCA8BHvjUBAD81pH3jCIAU6wEQQs245+b2AECSJJ7nbcX0c8XGEYbhXRX0b/XVFAlciidC51BJN4qkbRXNKIo0gDeWbE3TXgzJWL6CLJ0T1E5/cupnb9i9QG6WvT6qSqFCsfl54IEHPvGJT8ifP/WpT33qU5/q3J5S2kGeVigUCoVCobgiUd9+FFcUQoiiKFpVrSzLzs3Ful9Z5g2+f2fn5UISCs1AjemC5pxzwzAExhTpjGbO4O75ZpzBtgGEcAcVmeUpMC44A1ZYwGxdL5dL2DajqJhZzg7DJ8/ii9tEUeR53kIZdytDKQUQy/jFhXAb4/M/awbEcxZwGodrt4HLKydJku5zuhcL0ACAEBre0a6moqGDo0OlC3v1RjI2drripXZf8544BwBpxiGHeoC422+UehBC0DfMp0YRCNd1wzA0DMM0TeS1L7dYGtpVGz9/5nzt689HC8YfCwFhOH+J3jjk/b/PNWZT+LntVpYmcqLjOBjjesK+9eKrV3LZAACwDYQx9jxPqn6EEIwxYwxjnGWZLCiaZZlpmgtufMVVTh6HB53SS/FSX3KWe8i046k5vayR1/t0qcD9JEk0TbvBs28A9ujsCtzQ55n9Tz85+1PbHdfQXMdprWMmqxRqmqbkKoVCoVAoFAqFQrF1Ue8ziiuExa5nIcS58XFR2a77lVUulDMIapAleZ4bhjGvJSCs9w+CbmKETAAxNQpzM1DaBgCwdBk9IQSdndpecv1SG5M1pcUUI7ijRp7NTulCcCEQQtIoTSl1XTeO41Xu3aaEUurMnuemk7nVpdpok6eZpmW0ENt3m8mcnkXrWICxKArHcSKaQzufb5v2jG2tmvfnR0/0lNtYOC0TA8CACQBTIp+qNThFZRAcLlxvUu3F2ajpl/GiFA4AqPQPPPnS5KGdxpNnLorErSeFvDE8z0MI3X9PP8aYUuo4ThAEvu9/9rtTlPHkwka9ZZ/+7MuN4cHBd76l/4v/Mvn1xyfe/Bpn8ep0XXddV25bFEWapjmOI4N3kiRZyyFSXAEIIXoNDks+HZeXhj1EQ7Ew3LxR4Edr5ms8vA3TtpdZURRpmhaavcIsDpjh5vMT4WuuHQkFiKjgWYwKajLql3zPdYuiKIoCY2wY62nrVigU68K99967f//+7turdB2FQqFQKBRXIUqAVmx5RkfPCxAl38/zfLZW50QTjo+IjjQNVQdWs0RKRWMKOGvqB4ZhsNI2rJuILNSY0XKZ0SyJnCLt29aDd2xv24BzPprx1qCGNuSpWaRMiOZYbCGErutZll1hrk8hRBRFjhA2oyAEIFRgnXqvitGC5tTrKdySEde1xngUhtm6FvyZD3SO6sztqi7i1GzNddrIo5uT6anJtupzK5RClBqMY0EQdksiiZDgAMA5lx08OArMSh8sMuxHY2fmnPIBPXx72UqoOFPnB/rIP72UfeGJ2d9/c18YhjJGw3acNE0ty+Kce54nBPzGG8rfeSUYm2N37ze+8K3xvz/CAKCvMl25ce873jn4Gj32PH1xHwOlVAhhmqaM5pBGUfkn0zS3aDC0bduEEHmcr7y7+xKjwXx/5IDBxleSiSFhgH9xxH7sTGOaL9R8Xwh1A2l3VkjbBCRKKVB6d9WrFfhHwUUS9iE/1zH8ONRj1kaenuC2c+zkvv17ECHE8QGAAswCzCRcFFTQXDCKC4pYsXt4h2V11UOmUCguAYcOHTp06NDl3gqFQqFQKBSKTY0SoBVbmNlabbLA2K0CQMwBNB363FW6SuIQwlrzNwSQYc3YNoCmzgkhgBBi2osVtw5wxtLzp67dtxdbHkCnaOmjZ87aA7s6NMgbM3oWI4DWJNAr2+aZJIm44Ow2TRNsf95dLoTZmNA0rZiqy0zhdSfLMsdxNIzI1Jmi0s/1ZVSeLSR0CiFca7az91MImJ2zOOcIiSiY9X0fOX4xV2sKo3EcZ1lmJBFaFJh+bJYy0F+k/n47++eXAgA4PMUAkE0wQsh1XQBwXVeqxgDwyI8ae3tgqET+2zF687B18tj4Z55NAeB1e0tvv7P/U18++Ys3Fm+ocowMIQQhxDAMGXreXKNlWW3Tnw3D2ELnRaJpmhTlm3tk2zYAXMG3+UYjhBg0uAfpbk+7EVjC4PuNFdiHE0G+dir+hZ0eQuibZ5ICLg5oFujRmlEi+q2l9okcYRjqAG+uuDng711Io34qMDQk7qxQDHAyxSMWf3JOj1rE6JOFUzp5rG/PRVZKhBDSDdBf3fjTCafnTh7cuzA2WqFQKBQKhUKhUCg2J0qAVmxJwjA8PRfrjo8XjpBeCUIAQhAHIqwjjLlmoCKnhmtUegBg3pDcv3MFqrMQnOaiNrFzxw7N0uCa5cdjJmm6lPoshBA0T6YnENFIqSedmTJ1oiFIkqQoiu43aivSVHNs22ZeVQAgIQAhpz4WbrAexxgLggAhpOu6Fc5Gbk/bmntNtpAPsV6ftfUlL2fOgQtUMCwzXuQpYIwRIbRtA8iw+NQ5mfcihMhnJ/SogS+2/x+5kLd7PtNv2K69ODF/lQYZj5LM1AmlVDeMibm8amtnZ6J7b6kggCOTWZ9b/OUjpwDgd96288YRmSqTf/zd1z1/ooZ7ytJ5rWkaY0zXL7rh25aDA4AwDF3XbRYt3LRgjDVNMwxD9ictENOTJCGESDd3a93FJpZlbVA3zJVBHMe7ILZtm3OOEJrMyfV6eJi6QxqdZDoCoGL+dnCw0JFosMViLvrHs/ktbvrO1+0+efrs9+savUiGRnMMPVozd1vafptFUbhUENA+qziezt8dhUDfrRkAUNH4iUQbsYpbff7EnJ7x+Y15LvNff/ZUZedIh11DCBm9A8fmsnTszPX79+m6+i6nUFyxUEobjcbs7GwQBHme27bd19c3ODiAqTKVAAAgAElEQVTYof+Jc37+/PmxsTEhRH9///DwsAqRVygUCoVCcdlRX0cUW4y5IDhbm9NLPbrjr3ReTnOMAOJQIISSUAiRCmwPDCPHB5jXFVaRrymE4HGkZ+Hg9n5iW1Davfw8F2acZARdsDULzlkSFWlS5BmYNnLL9ty0qyEAVqSxaeqa4FfVkHyEUFHuY7qFAIAVIt9wrQ0hRAiRzlPOeYwN0JdJeB4eaJ+ssgmp1abs/iUF6Om6naYpAKc0cBwnz3Pf9wXCuNTDJ85A3w5c6fOEkCJpmqZ5nnuWi1oC1puLjjmGcuW+ncn//UwEAL0u+vpPol95fTVJkjzPB8v+qelsb78bhaFhGNdtt8JG8tn3Xk+wyLKsmWkehuHefrygwGaWZa7rSkFWhuG2dTpLo7Tv+5uwPqfjOFJJ55xTSvM8z/N8qcaypeM4AEAIKYpCCJGmKULI8zzO+dYNG7lkNC3kA4Zh+uYQ0EaBDmrzlf1GM3ws0aiAm/3CwvDUnBYskqF/GFnPPTd2z7D7q7t7Xj597qk6YRe7oU+n5HRKrndKg0YRx3GrDJ0kibDcpvrcSr3AAHAq1U4terA9E9lvGD/vD7QrZHox1uCuk2HOa+f271ICk0KxuZgPrVrbMIUwDD/0oQ9NTk5SShljnHOZBV8qlR588MHh4TYFk4MgePDBB8+ePSs/HQzD6Onp+ZM/+ZO+vr61bIlCoVAoFArFGlGvK4otQxRFp2fqWqlHL/WsbM6CQhICJjiNgVFACFX6wa8iAHsN2yOEoI3ZsgY91SqxfYAVC+LHz44K3WCUcqyB5SDDAt0G3UYAIIRTH5N5xHGpzwxmECs4ACHk6hlz7XpefCEBQyDsZsGGelpliTxKaRAEGGPXdW2W8ZlzWe/OJeepT5LSMiHgmwfL6By+IeTLLQBIFTjLsoFeNj5+xt6+EwDAtFuVNdd1RTzXKkAPm/RUOt+DU9ZhtLB/4zZjsKQhhPKCS0U7CIIgCLaZEMc5AOR5XhTFLddWoyjKWiqIdiCKItd10zTtfDFwzqMoktLtpirUiTFuzdlYlgUeZ9d1HcchhEhtnRDieR6l9IqXoQkhhBCEUFEUq+uHy/OcUqrreknXhcC6rgdBUAa43TU13Tga47GcvKlKEw5PNfSmOVpSAP7GOdo3dvbf7dl27U7rmWPnXkyMBWk2h2PtcKzd4JJ+rWhecpxzlIR3V91jMTmdreAb15N1cgeZsPu66N9CCPdsPz6XkXBs385htJKoKIVCsY4IIZ588slHHnnk6aeffumll6ampgBg27ZtBw8evPXWW9/+9rffcccdq1im53nDw8N9fX2maSKEsix77rnnjh8//sADD3zkIx/ZufOiryhzc3MPPvjgsWPH9u7d+/rXvx4AXnnlleeee+7+++//1Kc+VSp1VdxCoVAoFAqFYiNQArRiC5Dn+bHxaa1U1VYkPQsBjWlo2mb9qqj0ooVFBFeMEILOTvR6bsn38EDvqhdyZHyaV+bFhcWCgdMYRwhltl+YHnBGBAeMGWNFUXTwS15JeJ4nMNGTgNq+VR8vNDO52Fq4vliW1epF5ZxLgc/3/Q7C3kjfCvtCNjGcc8dx0jRtBrzkeY6wjg2rmDiLETDGWjs/giAwTbM1f+SGCpwaBwD4+R3I01GeZ4wxhPQgCDRNW+rS5ZwXRcG7U5+bs3QjQUpD6GbrsAnD0PM813XjVV3Pcq6myMgYC8MQY+x5Xmcz9ZbG8zwZPSSEwBj7vs85F0K0Vp7sBiHE4qOUZVmWZcMYX1d1AQCy5KfdPMXmU3MLA56mmPHlY3M/5c284brdN+X5D46cPV64C9q8GOmHQbvFJy4qpPlaCBGG4YhlXePyHzS0sE3QR3u+PyPu1KbM6sWmRc4AtymoiDDmpd4jtYg0pvfvGelyFQqFYr3I8/wP//APP/e5zy2YPjMz89hjjz322GMPPfTQb/7mb37+859fUXKX7/sf/ehHF0wsiuIDH/jAqVOnPv3pT3/mM59pfiIIIb7whS8cO3ZseHj4k5/8pAytKoriwx/+8HPPPffggw9++tOfVn1UCoVCoVAoLhdKgFZsahhjr5w+S6r9Wqna1QxhPaeFQZM8zw3DgEo/lHubxQPX8qW7CBsQBcOD23VdRzsG17AkEEK8PNUAt7JUA0xTBJDrdmF6AKDXxoFgAJBJuGtZ9VbBNE1qOHoegy4AIEG6S5NwI+NH2mbpOo4TlQeWnCdq2IOr7IG4LFTLosNNUPJEGEOrJEoIQUjo5R6YPi/LDy6YxTCM9OwxXddxeRuyPWtbP4zXAcDToZmHK//tnFquaVrbjOOlSJLEcZxlfc0yv6J7r/ElQ+7p6iolth7VJtJSrWma53mbcH/XTmuXg0xplz83o0jWbnKXfU62bZuWzVmBkrm7q/7jDT3hC24Z9KPQeOnZ0Xuv733jjfvekGXfOTI+zi4K6uGAng4MAvobqxpn8zK0ruvHYtK9+izX9b0JdpcR6G7L8Jrp8wAgHD+amXR3XbNAS0KY8Or2V2ZCXJ+4Zt++lR0ChUKxWjjnv/Vbv/WlL31J/vqzP/uzd911V19fH0JoamrqiSee+MY3vgEAX/jCF+r1+pe//OXWmtKrQNO0+++//93vfncQBPIDUU5P0/Tw4cO6rv/xH/9xs2SCpmkf/OAHf/3Xf/3YsWPnzp1b4JhWKBQKhUKhuGRcFWKWYivCOX/h5VfsoRGt58IYZCEAISEEAgHT50EI6N8JM+NgWuBVwtNHvMGd4JQMjGFVUc5NhBCCFXTinOs41UpZJgKDVYHeJSXjFS385dkIrIW+uVbsqFboFp1XqIVB5jULTdOuSHVpMbqux05ZHgFRUJKGcbECn+O6YNs2QgiW9gr1m5vLWtuZ0dFz28pL7ktOcZRocRw1ncgIIcexQSSYaKJvB0ycXTyX1AGzLPMNC9leMj0JYNgE8jyXCmmXTqsgCFaknHYZ7swYk5vhOA7GGCG0SSKh4zj2PG/dQzOKopD26jiOV+Qo3/zEcWwYhmEYCy4ScSGUXB7PFbmh2yLFYs/z5DV2yLUaYDwbaAt6blIgXzpcu9UObrx2/8+/Znet0fj6yZhf3IYB+k7NwKC/sarlaRIEwSDGe6rOd2sLszs6IAB9/2x4114DGxc07v6dAIAAPMOGqXPyVwAIjr/k7zsof0YYi21Dr8xGdlTbObxDGR4Vio3mq1/96he/+EWM8X333feZz3ymv79/QYNGo/EHf/AHf/d3fydb/tqv/doab0ypL8vCFc2JQRCcP39+ZGRkQdxzqVS69dZbn3jiiVdeeUUJ0AqFQqFQKC4XW0lAUVwlMMZeOnr8aD2xB3aJ2QkRNaA2KaZGxeRZNjWKpkZFbRKwBpoOQsC2AfAqAODtvhYMG9Yw3J4XlAV1vT6xy0IjnnHNvr1DgwPz6vP68fK5sWXr2gmAzL3g+B47BQCU0iiKNlWU7YaS5zniDIRw62NuMKVhdIkFNV3X8XJx25NM27hIkHUnjpeUdzkX9cCklHLOZQ3GnorT32v2VZNJOsDGT2ejJzsELvu+j0pVnmffmtAB4D/sRDLiAGOs63pn73OTLptJZLizYRiO47iu67qupmmLT5ZpmgDgOE6WZWEYSpm7+7VsHK7rNivjrTthGBqGse4PrrZIoVYa2Dd6XXmeR1G01BkMw5Bz7vv+uiSuhGEYhqHv+4wxKwvuruYWbnOnP534X35+tBEE1XL5l/a3rwHAAX23ZhwpfM/zhRBxGN5dXVlMSgH4iZMzfLG2bphN9RkAmuozAMDMWDF2mk2cSe3S0aNHxyYmVrRGhUKxUr7yla8AwMc+9rGHH354sfoMAOVy+a/+6q/+4i/+QjZe45cHzvlDDz0EALfffrusxys5d+4cAPi+Lz/+Wtm7dy8AzM7OrmW9CoVCoVAoFGtBOaAVmwghxNnzY7Hlp3Hk9AiYHUeaDnEIloO8CuiGtHmsi9TB8gw4E6zArLAE8z3P9Rzw1uKcXp5TZ89BefmiUnFlPuKD5IllWzLy9QqzNHZmPqMgrgshLpmdEyEkdUzDMIQAhCCqdMxaMe0wivzNoWkui0aWvG8wRhgzXdc1TTN0XvFzKSeenwB9qMRpphuWYRhJkti2HYZh65uz7/uotA1pxg+ePfo6n13X64BMUKGUEMIY6zKVmDFmGEaXjaVQzhhrdskghKRDVm6bTGwwDGOB5ZlSKtOou1lL90hVVN6nMqe4s7s5DEPbti3LWhfT7mLSNJXZFFEUbXQfiazYaRiGrI+a5zljbHVFApdFCNFhd2Q0h2mamqatvVqpECJN0ylwhlyepskhh2bYeHJu4QdEJLRHjke79em7rtt5jTF5NHfaLm2K4kdrxg1uqY/kYRi+3kfPBMt/1vTjLBYkEiQR5JkTE7fuH+i2hkHvkHZhLxBA0GjU5sKh/t5KudzV7AqFYoU8//zz/f3973rXuzrkpBFCfumXfunjH//44cOHV/Fk/vGPf3zq1CkZZP/888+/+OKLb33rWxc4qc+fPw8XUq0WzC5jOubm5tou/CMf+cji53a9Xvc8b5OMHFqK5vfDKIqugNEeWZat+1eUS0xz+5Mk2erlkWWFkk1+C3RPURTruC8revnhgnfvDuBcdN84z/N8C56g5vN27d9XLy9CCM55nudbXaZoPrjSNN2IV7P1QkaGbvWjrQRoxWZhcmpqhhEuCGbM230NAEDfjvVauOBcFJTFgYXBs0zf8/BKisCsC5zzxO9bvl0LZlyXEtsGCTqbE9d1OedaMCXlpEvwkMUYO46TW16hmWZUi+PIcZy41MbEtAC6dd4TGEMAS77x9lYWKr9ZLozhAwBAeraz+jQA2La9WNCMosgFiOqzr+s3dOASSqnUAbv3+UoFufsaelmWtb5qSs23+aojE6UXv+FnWea6rm3beZ6v13uR67oL6tpJ8ZdSKquGAoCu64QQSqnU8eFC1AMhxDTNjXhDk9kUrusWRSF1+ea5k9r9uqwlz3Mp6LceeULIxkVRx3HcOf5bXgau6zLG2ga7dw+ldLuZHovtTPivsWgehW+uOKcz/XiyMLz1NLW/+JOpu3qMoJEtyINu5cVII0BeX9IrWlfaU4Wwt92wW25JnKY0aWRM5JZHzG4/vBBC0iWtZckk18+fGb1msL+ZDKtQKNaLEydODA0NtfU+t1KtVsvl8gsvvLAKAfrxxx//53/+Z/kzIeT973//nXfeuSBLul6vQzNA7GKkMr7Uh/I3v/nNxbrn0NAQY2yraIhXRg3eoii2ugDdZDOLOCtiq9wCy8I5X8d9WZn7ZiUPPMFX0HoLPaPasqU3vsnGWU8uPZv8IXxlXDBKgFZcfrIsOzHdIK5PdCCwbiPH85nJsqVVSiVN0xAiAARKl1p0buX8+AR4XdWsQ40ZR+RCCEqp4zgyylbTtCumE74zsjdYukovwXPWdV1KaVwdAgCnNhaGged5QgiBl68RtC7j/S8Ne/ftz+Oj3bQUAsanmDZ0vXx/FTQvwkaaptK0CwAyTxmkv9KwGnHiAMvz3HLdpj86SRLfbx9KsBhZR04I4XmeNE0v+z0mz/MOMcpyG9q+jsqry3Xddbm0bNte7FeS4q+u6zIHQ5rB4zg2TbNZLSrPc8uyNrpzJYoiQohhGFEUSUkCISSd7BjjLm0XrutijOV5EUK0nhpZ67VVERZCNKOoN0KD7myCbiKtcJ7nJUmylu/EWZaNGGIOWY/WzNvLKE3jfpHsrro/aGjxQjcP+rdZzUZIB06XDjczMSAQQsDNXv7jcBkT9BHq3FYUmqbpul7WdfB9ABBCJEkyOlMz+4ZWsCemDQBaqedkSEXt3HV796xgXoVCsRyEkG6eTrLN6ioQvuUtb7nhhhvk4Iynn376s5/97Fe/+tX3v//91113XbONVJnbvjzLbdtCX1oUCoVCoVBceSgBWnGZ+cmRY3rfEHG71ao6Q8OGmJvdNTys6zrasXzYxaUkwMtEPzexRS41LPkuQQhJkmTjQmM3J2tXryzLajsYVlpTDcOQelxcGQCEQQinMR6Ggef7cXmgQ+3BVny3UzHJTQXGuChg6cHB8+S5mIEhfUdJ/srnZiCJNE3zPA/3DQHWAEBaqRFCNJoLJyfO2b3782k5StG2bUKIPHfLlhY0TVPX9WYduSau60qBu8O88tx1u/OLiKLI9/1mpcQsy1ZqnpIeZ4zxUv3klNIF9h9pyJVarWmal6agqAymaK5X0iy1l6Zp537+xRrugnMq3d+LT3QYhvL8SsdN05Enj3k3uToIIcdxkiRZ0DJJkm62XF5XrRfk6sjz3IL87qr/aM3YYZBr7TwKg1tsQzfM79QWKsiJWEZXijn6wZzxWo/2G4KAYMsFSh09ceL6a69tnSIPyzWOI4SYnJoOODIq21awPwihnoFXZiO9Mbl3j5KhFYr14ZprrhkdHR0bGxseHu7QbGZmplar7dmzZxWfX9ddd11Ta77nnnseeeSRL37xix//+Mc/97nPuRe+isjag1mWyUio1tnlZ9xSHcNf//rXF6vnDzzwgGEY1Wq17SybhHq9Lre8XC5vaXldCFGv15s9/VuXJEnktx3P87b6gJsoimR5icu9IWulVqsBgGEY7mV6bcEYQ9eOC0IwdO0csCzL3NzPqLbMzc3Jr9aVSmVLZwcJIebm5i5Z7ZmNo/ngcl23tbLCZkNu5Ja+ZkAJ0IrLhRDixOkzrNJv9K8+Z0MIIRjj0ZyWxTt2DBFCwKpAb2Udt3O9EEKA3e1wJQTAOAeAoigEAAhh23Ycx1fM8JaNxjAMzfFSv1dqim59TACkbg/XDEAI04xrRtr67BbcqY/LsmMAYDcmksoAYoUgGsg06HagxgwpDVyC3VkvqOjVYLpDA87FVN5rVufVZxACGAPbJ6UqAHCaj8UZSYNJpnMAAIRBjNjO9aIRXVBvkyQxTVPqg8u+RGVZpuv6Yh9uHMdCCF3XpQu+rXrouu4aBwS0zi63GQAYY9339BRFoet650SIpdgMQ6jCMEQIyQiRtkNlfd9ffJDDMHQcR7rgO8fTt4aiLAhvkcdt8fRWXNeVnXCO48h1cc6TJJEma8Mwuhki15Ta1xglH4bB3VXvsYYx3rDuqpIkCvM8f3PFHcvJ4XjFL9jPh/pBJ+9miOmPE/f6Jf6EENre3yd7WWdrtUZGsV/tMiQaYVxUBw5PzA67xlZJsVcoNjM33XTT888//+EPf/iv//qvOzT7sz/7szNnzvziL/7iGqVShNC99977ve9978yZM2fPnj1w4ICcLuVvOYpoQQe8VKBKpdLipQHA9u1tHBsyS3p1fu1Lg/wMapq7N/OmLov8hNrqewEtLvsrYF+kyrPV96KVddyXDSwwshJtDSGEt9oJau0gxBhv6Z4z+eDa5J8U3dA8I5t8X+TVogRohWLFNBqN8ykjleUzdhcgGON5CjTXi9S27GqljLEO3jaAlVjALgeMsS5NtRL5ZLFtmzGmEQKbMm9+I+q5rRGEkGmavNSbmk5TO078Xm12jE+edRwnrgxy/SIrOmLMCSaDMDRNsygKTdOAM7c+BgBRqR+WDuLYUd1iwk21um30XGNbZclUvnMzpjPUkhKDEK72CyHS+kw418gqgz1pLS7EQRTNIWMWzL0oiuM4urhfRMqOuq7La7j5ctiWoigWRxLL9tJB7HmetConSYIQ0nVd2rjWGO+7gKZUKgVZKXR2nkWGUVwaF/PGIbOhpf4uz5R0FluWpev6Uj1eiwX3Zb8JLbgGmvZwKS7Lo918xGma1nQfyECP5vRmkMiKjnwYhrJGpVzLYnN6lwu53bOPZeZ3a8brPN/nSRRFZYTe0uP9aE6bLVb2/vBSbNxdzX8YaPWOM6aCHD5++vp9uzsvrada7QEAgCAIalHCbR93kRNNTHusgFNHTxwY2bnVfWoKxeXlHe94x8MPP/w3f/M3MzMzv/u7v/v617++1WmYJMmzzz77+c9//ktf+hIA3HfffWt/e5SfVgsq/Q4MDFiWNT09Hcdxq9YshHj22WcBYGhoJdE9CoVCoVAoFOuKEqAVlxRK6bHRcVLpJd3FUQjGirDhIGHqxPc83dLB3WKqnwRjLHiOuogVhgtCjO/7sowYAEhD6MZu4gqRVeM2Tyy1YRimaVLDQZyZSUMLZxljhJC83M81g5X7nLghODPDmcx/VWNFrHCCKWnClRKk7/tFUVBKLcuCgoKxxCkrcr9n612KO4b3jp0/WS21iZuYmGbO0KtD8gUr4pnJqUwExGJYA2ObO9eweVbWEcZYC+vbEYqW7hdpanwyQZhzLn3NC5qlaWqapmmaUtM0DINS2mxmWZZ0yGKMTdPM8zxJEkKI4zic843o/BBCxHHsdeEJbSudb1FarcqWZVmWhRBa0a29ioJaEnne5cNNhh0jhOI4bmsql8r46kT/1kKRCCGZgr0436MzSZKM6EWfb/840PfZeMiIOed1iq5xmK8VTze0BluBDP1oTT9kR08Vy1xsz4baUiboxfi+L4dxMMaCIEwpjRg0+z6J7eFF4wrNvsETYW5GkyPD61b1V6G42rjnnns++clPfvCDH/za1772ta99DQB279596NAhjPEPf/jDY8eONVvef//9995779rXWBTF4cOHbdtujchwHGfv3r0vvfTS8ePHb7755ub0I0eOnDx5EgBuuOGGta9aoVAoFAqFYnUoAVpx6Thx+jT1t5FKm0J8vKAsqPOCCgAEYGq6axmubVuuCe5mdzd3A8bYjeux19W+pKV+a25SRuhKW+LmNFrqum6aJkJofe2oK4UQYjsOJ5pgBQ9qrQqmaZqEplwzmGHHxsXpVEI4jQkEYoHQJn/1fb9gTBNsKY0T5wnAlgmAbmVwaE8QzBXZedu62IHVs1f+n06Pj6WiQWxALuhAgF+DAgt4ATTVTSEodF0LDi4U/ZN5C23JskxmTEtJl3Nu27bMW5BBlgAgLckYY03TZE3OLgvorYLutdQrQ31eQJqmjuOkaep5Xod8jPWl6UdeNolbVlNcYyC+NNQDgMz3WFE6B6XUYuwW3/thoMeGc8DOCcteyZypHN3sFy4p/q3efXIcOlU4VY3XOpqgE0HCMPK8lT1tCCGVSnnx9DzP4zSdnguJWyb2/F2JEM69nsPjMwMm3uR5rwrFpuX973+/53kf/vCHx8fHAeD06dOnT59ubdDX1/fAAw+8+93vXtFix8bGZmdnd+/eLbOP5MffM8888w//8A9FUbzuda8bHBxsNtY07Z577nnppZc+9rGPvfe9773zzjsB4IUXXvjzP/9zAPjt3/7ty5UAq1AoFAqFQgFKgFZcGoIgGE0YLvc3FS8Wx7QxVfLcnnKZEEIsA7wVJ3JsLeIuXN8iapAssRDnAppF0jan+gwXMmSFEL7vR1FkWVaaplLKWXvtr2WR6jznHGECgieNerOmnNQxHcfhhpXZ7RMPEWcI2uuYcmysRkhmLCmbenzFQ/g3D75fAr+U59nouRO9PUjX0OlxbPaL2TMnzukVjuyWTwZxDZ3RdV2eSoSyeFWKZOcgjgW21iAICCFSa27OLiMU5JgAGbSyOEbZcRzpSsYYL1ukrgMyiaXz7FmWLS7QdwXQ1J2bVQQ31fNH9kzour6KDI3FyHwP0zQ1TWt9FBBCZC9I2+cD59xmiYa0sZxM5NYbq/mNOn1e6D8MVjxIZZJis4tSOz85X7vt2vWRjeR9VCmVAIBznuf5uYkJ5JR1v0wsZwpg7OSZg3t2rcu6FIqrCsMwfud3fue+++7727/924cffjiKIvkhJQt/3Xfffe9+97tX0cFz4sSJj3/844unI4RuvPHG+++/vzXrGSH0pje9aXR09JFHHnnooYceeuih5vS7777753/+51e7cwqFQqFQKBTrgBKgFRvOSy8dpgUFAITx9r6+crkMAGC50HN1GTEIX0KpEkLkKapPujv3gbFNTJ4NgxAuZBdsnNNzXZCqYhAEmqbFcYwQ8jyPUtqs/bVx6lUYhlKDDoO55kRpEWKGrdFUAGStlnMhQAjAGAC0JETBTNCiYBJCpLYFrXbdJVIahRCDA20q9mwtDMPcs/d6AMjz/DgJeS0HY7FDH53TK3tgvndh1X7YDiqtruuLHfScc8MwdF2Xhf4opWmaypd5eUVZliWVaNleFvRI01QGBOd5Ll3Vq7j85GK7kZXlFbiiuoVbguZZltEcMq1CavrrIvuuESn967ouOxvknQtr6KjLsizP86bybpqm1N/l06ztYimlB53i+UjngL5bM3s1flOpOJOiI50KEoq2hXUyIHttdiLplM50LEZvaClZs15gjC3L2r/7ooDpuOwdP3Gyp1pRVmiFYhWUSqXf+73fe9/73pckifzQtG1bdsmvboEHDx58z3ve85Of/OTo0aNTU1OEkF27dt1000233HLLvn37FlQalPzyL//yLbfc8u1vf/v73/8+5/zWW2+9++67b7zxxq1etkihUCgUCsVWRwnQig1ECJFl2d69e5ZvehXAtIVDswXNUX3K3bEbTB18HwAgbKQXUm6FWJgOsZmRdtEFaSFSodsIDVoeoqIoEEIyYlhOl9GxmpZix0vKr3rq7bkpJFhcHpC/Il4Q27XdMjCKQQjOSUs9Z1lfrkNVZRw3cLlv3XfqcmEYRoe30hD0F6ACGhywZgxdi6JopfUw5ZhfWdwPYyw14ma2hmyzwG7sum5T7lwsT7uu2zZRWuI4DqW0KIo8z1dqlZXpE92bmuW1rWmaaZqbvK+oSxbfs015fdWa/rrTHHsBAIZhyOAO0zQNw1jF9QkXHlwyilpWKWxO9H2/7XO4h1ACGgMEANMFfiXC+8x8Z5U/E+iNdpEa//PBbf/15fEZ3iag41yKCHAGSwZx5EBOnZ/Ys2Ngpfu1ChzHkT1w8vZRipVCsQoIIZ7ndVNOYFmq1epb3/rWt771rd3PohaR3oQAACAASURBVGnagQMHDhw48L73vW/tG6BQKBQKhUKxXqysbrtC0T2U0sVj5K9mBo0LepkQIqxr4aznOu6OFvdZlvCwXhSFlFY3g9CzdmRmAsbr+ahxXde2bX4BWbus+VfDMGzbzp0yLi5cfpwzzYjLA0YyJ4IaAFC3kvq9mVvJ/F4zOYp5Ls9N5PeJCwHHib+ExCzEztKS0RxblB2iTc23Bbys9Rzm3krPpm3baZpGURRFUZIkRVEwxvI8D8Mwz3OM8VIV5zoIx50DPeI4tm1b07Q8zwkhza3VNM2yrM6bSgixbUeWceueoijSNG3N1nQcx7IsjLFhGOt78W8QUiuRrvMsy0yzTV6QfCh5ntfWc3eJaV4AzdjoLMvkUIxViz70Aq0TpQd/ceMkSd5QfrXX5GymPRVaQojXGOFdlVxHF12fVUzLpdIvH7r27XsdHy2MdskFfkN5mT6P/z4liksb9iJD2K+whBmFQqFQKBQKhUJxudgCL8aKLQfnfEUuwqsE0zCAM5gdtwT1enrNnoszr2kGjWlpogyC4Eoa1J8kSVs9a6VYluX7vuM48uDEcZxlWZqmC1yueZ5zhK1oViACAMA5YExN154d1bMI+RePK0+jHc5JjrTcLkflASAa0y2MceFvE6S9ykZmxq68Mj4HhvsBlo3XQBQwFdC9w1Qqla2PgjzP0zQ1DMNxHClDe55nWZZhGHDB2N5Z/+0mHyOOY3nJUUpt25ZbItXVxZeirETned5Xvno8oQyh1YQ5yOBpXdd1Xe/p6bnuuusOHjy4Z8+eAwcObN++ffPbSPM8j+OYUip3pEPfoXQKy/O1qZAXlQzQWGkXQgeSJFnKCIxpstt69VKMOf7XhmmapqDZG6v0zdUcXbinalw/NzYBAAP9/b96aN/PDGoE5m8iCxgAJMvdUgLQuYnp9dihlSE7ki9NLUqFQqFQKBQKhUJxBXP5fUyKKwz1sroUlmU5vEADw23+VlCoTV6phnEZvLCWJchY3iiKZBpDaw4AxniBYxFjDAiBAHtuUspGqdujz00hjHNtkQ5uezPTvWnvUHNC5lY7nYYkunbv7g5/31rU6vVKuSxL/O3Izo2aizOgLwahl6G03wVMs6bztAO2bRdFITNSPM9rmkllprNsI0+lLLkpk8Qty5I+VpnJK5thjDVNkxG93QjE8qqQUTamaQIi9//vT//Zn96GLyBDP1zXffmV+sc/9XiW8Z+5e/BwYt6s0dU9wYIg8Dyvt7d327b5w1ipVABgYGCg0Wi0dXlvHvI8d11XHvBlH0RJkriuS+kqD9RGMB8HH4YbsUlxHLfNHqGU7nPp6fTVrB4m0NG5YrdnFgKeaWh399DH6nrGEQD84+n4N6upZVkIoWt2D+/byZ/8ySs/ju0UyE6DnoqXf0L+eDofGVq21fojLwlN0zaD812h2AwIIR5//HH58x133AEAp06dGh0d7X4Jt99+++bvmFQoFAqFQqFYX9TrhGLd4Jx3o0ldtZycbmh+uc0fhBAzY1dG4MZScM4dx1mFBqdpmm3brRmsnue1LsdxnAWHznEclmdI05hmEEYF0a1oFggRQhhFtjDWIU/H8U1d7wa7rq+00l3YtDx78lzg9MBEjEB4SWObY44XjKFlCiUJQHPI7NVYNze7PHFSHIzjWNd1zvlSWcnN9ANd1+WMsuMhTVPLsmStP8/zuhwcwDmXNQyTJLEs6y/+zxdPnQ5+5Z3fdmzNdvTdu9zff/9r5KL+5GM/4lzoOtrzCzfPFmjVogAhBCHUVJ+bYIxXXX5q0xJF0SbJg5bIsIiNE8SXirOP4/iAo70cawBwUGsM4fMzfGAm5oZh7rTZv8zq1zjsaCy/aKEvPDv2ntvmKyJgjH/6tdcfYuybPzqyyyYA7PuNZS6SGtfngqC0fubuFSHDc9ZlLItCsdURQtx1111yMJB87PzlX/7lJz7xie6XQClVPToKhUKhUCiuNtS3H8U60I1p7mpGCHH8/KSxrb/N3zgXU+c2j46zQUjpcEWzyKxhznlTfUYIua7b9ljJuna2bWOMGWOUUik7JpSapgmEcISTcj8s0ha31Z+a6b+rqw0SYsQUWyLPd1niOP7hnACnBwAAIQEocKoBgKcDCGHHdULTCaNSILL4iAHABFjbycrud3kS20ZneJ5XAM6LQsYmCCGaBQmbUnWWZVIX7r6sJWNMeqhN0zxxcu6JJycAQAiI4uIDv/e6a6/xpfocRdGXHr77Ix/94X/6ret1Kz7N7NVZleXGX3vtta0ThRAyKAYACCFtd19e1QCQJMnljS1K03RFmrIQorX+52XENE2p/m9QD6jMHG+rbgshevX5I/BSUe7Vp28zvgEAJ/S3jeTf2lH5H3uzJ5B2y7GizAEJQCdfeW7Pda9rXcKd+wfGJybPZl11UXz9ePDOmy6PAA0AQggZeXTldagoFCtlYGCg9enn+/7AwKUoE6pQKBQKhUKxdVECtGKtKONzZ4QQx8faq8+iyMX02FKG0KsWWSwOISTH+EvPna7rjLHF6hhCyPd9jgnTDKAZZ0XTwUopNU0T6UZiONxqJ38XtIZ2dbVNgm9nkW33rGW/NglxkvxwjgNaQklHKHGrAOACgBBmFpA8bWA7JQa/MAsCwRizLKsZo9EBmZvRuc3LuXmgvzefGjUMQ4pcMpFDCCG7FuQP8jnTpQYthAjD0LKsPM/3jFRec0PlhRfr8k+f+PSP/4c7Bn/jXQeSJJIL/N8+dEtRFJqm9QANw1WqwK3qc57n4+PjfX19R48elbLy4q4LqTvLIGwAkKkjWZZ1qL64ERBCZG1Gzrm83brsTYyiSJZtFEIwxmRF0A21ITeRWdtpmkoBSPrrN2518vjIR03raAyJiV/d38fo3u3kbC8+uzf/xmnj5xCCSfOOfWb4pvzLk3wk4KWR7Jmp554tX/8OwzABAGM8NTXV17vt2mqVP3/8RKYDdDLgU8ByQMAG7GW3yJEKpmmqAAHFVQtC6IUXXmid8oEPfOC9731v90tQvTgKhUKhUCiuQpQArVgTeZ5vBgfcZubE5KzR0059TiJWm7ySig12QKrJyzYzDMMwjDiOm6J8U8xqFcWkmbSZSRqVttvhDIqDKEkMw8AYm6Zp/P/svXmQZFd95/s75+5bZi1Z+9bdVd3q1tbaJdCGQIwFAgkMaGSMsc0YY2PDe8z8wQuew0E4/BxjY0c4iDcT7zGhwIMBw7MFMohhEZLQAmhH6lZv1V3dXftelZV59+Wc98epzs7OyszKrK7q2s7nr6rMc2+ee/Nu+T3f8/2paiTrvtFQ5eOMhbfslptXFVFoEncLUappJ6jPlNIj8y5IWk2tEQrUFKgpCUACMPKzE1IDAFgQJUlSo0wZxzErA1j5Q5CPRUKIYKZo4GOMKaUlSR0IIVVVC35bZqiPoogFdFTZWObq/f6/nz16LHvNofSBA6nv//toEJCnnxl33fiP/rBfVdXhEefTf/pzADh4Veq9n7vrnWmTFV6raRcV9bD4X1mWFUVZWFjQNI0FK6+8TrLM4sK/cRzbti0IgmmaYRhesVE95h1em/+65PKFMWaVHn3fL9jYNwL2vbMrgCAIK0Xh9QVjHIZhpWt1EASGIDkJBgAK6HH/3o8ov8gIY33hTwFgWrp9Luk8JXzAlPN7w18BQAaNkBN/P9n4SEfvfnZ9a2pqwhg/cOOBhcXFn56eWyRSlc5MTM/s66tt2Gwj4anQnN0MQqjp0kcCXdd1Xd+s/nA4HA6Hw+FsC/iPB84a4cbnVUmSZHjJldLlhEt7KcrO7Z7cEl3Xqxu9Mca6rnuet6qzlUl7AECMBj+XjcxmIzftOA4hRNO02GggghjKNQisJAnAXNXER7MzB7s7MK5Nsd3yDE/NRNIap/A7VktndmJCbVGhvnOfUsrGDFgMSxzHxaqx7/uiYI7PLna3txA9TadHLMuybVvTtILkVxKAwLzwCCHTNMsK0Mw0DQAY48/97y/MzvkAcOzE0vikKwooTigA/ObNuanpvh//9PiLv5xiS508lbuLoKcXlUZRusmS6lKBCSGLi4uNjY2FV5qamoaGhqqMu5SVaNmmYYxLajBuHGwzWQXCy1wVISQIAiZNWpaVJEnBpLy+hGHIsuCvzD3IcRxZlosPyGKSJGkUqXNBvSeA3oxvvF8YY/+2RS8rqHcS3zrnSEvS/aoiNcdHmpLB9ux3Br2PAhJkWS6sqqmx8dFbG86MjD89GZEKVuhZL9m3ztu3RlgqtCzL3ArN4XA4HA6Hw+FwVmUn5JlyrjxRFHH1uTrZbHbMp6JeLvlhYcabn9496jNCqLq5UlVVRVFs267eTNd1lrQb62na0u1l52hzhxj5TLM2TTNs6kw0K16hPuvZSdEv1bXV+ZNxZn+1fgduW+Ic6uncGbnPAEApHQOjehtEq8mFTrpDSYIURHUJo7ZtK4pimuZbsflanDoKDbp5UQSP4/gGyRYl6e0ZO7GXcGsPAMiyTAgpjhrwfZ9lVhRvDqXUNE1N04qdmKZpiqLIjhaMMRYuqmPZbHTvPW0XVpj8n3/5SkF9BgDDWF7JYoyfXlSOBkbtweW2bY+Pjw8PDxdekSTpqquuamxsrCTP+b5fyTFHCGES/BWr+RYEwTra9+I4zufzruvqul4ssK4jtm3LsnzFLIdhGK48AhmEkKv0S8YSxpJLDpsGOtKXPC9JUhRFedsdDvafED9yWnkEkAAA7e3tGOPx8XHWGCG0v6/707f2XqOWDxVpkreQ2svKP2xudjmHw+FwOBwOh8PZFnAHNKc+eL3BVaGUjoyNo5aucjoBhZkx27avgLFx67CycmCJrue6bnWbJELIME3U2gMATJAL5qehpQcAgrkp0zQDLeWWTXlm62/oKHmFUiqQALBA3RzSrIul9igFALo019/WrKTSNW7gdiGMIlpFTKe0N5grSZhFCC0JmkoihcYzohViKaXKWuRVsanrus4iHQrfqaZpCaW/iSyK0P5g6rTc9pvIPKxGzLxMKbXz+Wbs9Oj6a17qehNHzV3J+JCqKAghSZJYwEKlHI/CoSUIgqIoLPoZAJj1WBCEA/sbpqe9g1el7r6ztafHIAn9xfPThJSegoKAGhskAFoI4c3G+OlF5b5GJCCglK7qRw6CoERsRQh1d3eHYbi4uFh2kepjG67rMivxys9d97KlzI6t6/r6hikzmbiSd/gyqaQIbxCspGTZ/PEoikQkx3T5yPFAnEs6MsJkoYFGZ005ysbLxQwLe0NRlOHh8+l0Q8mGCIJw7w1X3xEE335z1KOXPKft37dn3TftMomiKI7jKzZYwuFwOBwOh8PhcLYjXIDm1EEcxxua7LkDoJQOjYzJbd1l3iOEzo7b9sbGlW41DMMokbQkSVpVcS4GY2ykG6GprfBKEvqR0cDEHtxzYA2CGULIabsJ5eYOdXcAQBAElFKWYAsAkO6sf5Vrh1IahhEAYIwkqVr862WSs50LAn4pXcFC5Dl2HMMKcRNDPgQIAXRkGwgBADIMURTLXgpM0zoOqQSQoKf7wDUgRggNE3UJKW3hggxkxOjsjO0ZqlBRBriYnkEIiaJIROTYdO7ajrTQsSfKLchJCACsLJ4gCIXgBTakwbTmgiCYJMlK8fS1N5ZeeHESAE6eyp08lVMU/NznX3/wCxEAuErrfMNhX0ghmuydelKgMQCE46//uuv3T0JLQYZ+dlF+n/+bsONqRVEKPutK6Ry+70dRVPIl7tu3b3BwsOywk+M41Yv+MSvxytd1Xa/LeWoYBkKIEOJ5HjvU2evF2SZxHKuqKsvy+s5uCcOQ1Vdc90QRQRCu8Ggoq3aoqir7igtfjSRJBfWZ8WZ82/3Cvxf+nRVvirFlGLTk5AqCIAxDhHA8/WvT/GBJpLKiKH94+8Dpc+efnSbx1p6vxvLWeWVCzq5laGhoZGSklpYIoXQ6vXfv3nQ6zc8XDofD4XA4uwouQHNqglIahuGu8u2ujTOjE0pZ9ZlSMjN6+Smr2wvDMIqdsIVScnXtB8MwitVnAPCyi6ih5XI7F0f7O5aLQ26Kd49SOju/MBHQWDEKFmwUeRnq9ba3bsTv0rzrgVR+S+M4XvXsLoiV+XyeSYpxHEuSxBydTAyNAOmRmyDkivpZMAEuWooXtSYAaIagS0qSKJQRlS41kwZBcNhyXo+s8Ymp7q5OaGiJFqdRFLLSlEyqS5JE1/V8Pm8YRhzHqxa37Om+aCxNp6Wv/mdNyC+314MZffqpkvZyYt878t/eKZovdX7iOLQDoBbkdbz2DQSQ2/OO+WsfYocuxtgwjCiKRFEsNrRGUTQ0NDQwMFCiJB44cGByctJxHM/ziuVdSqkkScUqqmEYQRCsOs7HZFBVVaucSoV5Br7vFwoeqqrKpHxKKUKIVSDEGGOMWYONGGJk9RWZCM50cEJIHMeEEPbpSZKUrdNYHUmSrvCAqGEYbL8BwLML0l0pTRAEBPBGvnTc6HSSeheVRLR8sLXGb9hCT9Ze/rdQTlPX9U7yuumPYJTQ429PNv1uR3dpwvP+vXv6+8iLx4bedsRecUsXreWVCTm7lq997Wt/93d/V9ciBw4ceOSRRz7zmc90d5d7aORwOJwdg6xD7c8GSNjIrnA4nE2G/07grA6vN1gjw2PjSmsF8+z85K5Sn5loyJzOsiwLgiAIQhRF9c7EtywLGttKXsQAlzsSEkd7dSwIm/aIMz07N56IRDJAveR1KsmzIM9PL1kkFBHIiLY2N62XLVqtvJ6sZLSLuKzZtixMUgQAFqNhGAbGmFKKEMVWA6Y0bWeXpNJQFAy0LbGDJKGEHCFaJ7jNl2rQnuNcq+MToOcn5gcMEKwmLEoRAIoCJTcXRVEhHoTlCwNAlSNKluWTp6bZ3x97uO2/HPipkK/pOibF9t0j/89tUvpEyweaFpdjnVPnf63OnRm+6/NBEBBCHMcRRdF1XYSQoijMwQ0AjuOcOXNmpQbd0dEBAKdOnQrDUJZlNg+A+UYLdnImBAuCoKpqSanGlfi+Xz2imhDCLOFM7mR1IEvWWSzfs32rqur6pnAUKLkAMvkbAMIwZNcHVVWL1fwS2PAVU8zZQIjv+1d+Rg7rrSiKCaDnctUSqF+M3vcu+QeFf634fKjvFwQBKGmJX58TbwxjGgQBFSmGBAAQQPvCtxbmu9WBj+nGJd8sxvie6/bfkLclcav/KmOVCXkcB2e3wS7dxbNSMMZssKpkdI1d9wghg4ODf/3Xf/2Vr3xlaGios7OTu6E5HM6OJfEhrjk7roJXhsPh7Ay4AM1ZhSiKeImhWpibm4Pm0qzhZXzXc9Y5s3WLI8sy8zwyRWnNAxiUUrQ4Da09xS+KslzN9brqOqNgf0rZ0LCL6pwZHs2aLVWm1BNJXbqgTE/mEiHIX9WgXn69tYaUCbny0n0kaRB6zNQsimJBu6yRgrZoWhYAAEJIt1CYUHTJRhJA7Cd6LKoBSOeg4VwMN5vgXzBQE0Kok7vRIBEhfiidcJ0W4rS3tVFRJk3tBpp2bZsQYllWEARMwC1x2RcwTRMh9MB/6GnPwG8Zz1j+KytHLab6PuSm9mMSIRLFcrr3+P8tRbnCu0q0dMPEtwAg3tOa13sXpP6+t75r2ROB1MwaMPWTxeJrmibLMusJ06D7+vpW5lbLsmxZlq7rjuPIsiyKouM4LEVE1/UoitgYAPNEG4ZRfdSKLVs2D4Rt/vJur+3b9H2fObtXbbkuUEoL8nGSJEmSMDVcVVWm3QdBwPJM2MADxniDlPEaYXI/E6D35H/0Ydr4onD3LKn4M+lEnH6XjAqDZQ3kjErnp4Q7CYWc0L8v+D4CyIm9M/Ltaf98YalGNEbP/OOIcn/vwTtKVpiyzDAM6/WJX3l4HAdnF/KFL3zhHe94xyc/+ckgCH7/93//ne985969exsaGhBC2Wz2/Pnzr7766mOPPQYAX/va166++uqJiYkXX3zxK1/5ShAEv/M7v/Pzn/98g+q1cjgcDofD4WwduADNqUZ1Cx6nGFs2cdnf25SS7OwuzM6ung+wKgUFjSJcslvRZWjHaG7i4N7eTVRGTp0fzVv15Yckin7cpdL89PXdlxXNoakq5DwpcPUwj+JQ1AxspLCsAkIIoWAyKOiYRuWU5yqYpjkmN7G/qSB2h7OjSgZRooZOHqs90eKU1oIwkmXZAW2vM3VOaQWA12PrZg3cCwHBlFKWk26ZJkFoWrCmZ52rotnU3gOhYuiE2na+eE6G4zhMqGXKKTvkLMsqRELfeFO3+dZkSVfzDddM9T7kOA64LP5CgNA+f+jPMMadg1/X3InixiLxG+3BRhiM9rb7ekaXNNbPYq+u53ksEwMh5DhOEASjo6N9fX0lVtCenp6zZ892dXUlSXL69GlW1C6KIoQQy7kubhxFUSGroSwsBVvX9RIBmg0ksK+vesZ0McUK+CZSuOkghNjkCUVR6kqNX3dYHUg2NgMASZKMNzw4MPdPHyGDWdz5E/z+LC2vHP0yfP+d8o/Y3xJ1JOqo3vfOqR+OQZ0VDrcmv0mT88XqMwMh2hM+Fbz1QrjvM5aVKn5LluXtclMOguBiqj6Hs9MJguDjH/94Q0PDs88+e8MNN5Tcqe+6665PfOITf/Inf/K+973vU5/61LFjx97//ve///3v//jHP3733Xe/8MILo6Oj/f39m9V5DofD4XA4nCuD8OUvf3mz+8DZijBb32b3YttwbmxCsBrKvEEp3X3RzwAQhmFd8qUsy8zZqiiKLMuCIArtvdS3EQBqKY1HxJIUJQTqkWIppYK9cKDZamlq3ET1eXxqal5rXsuSCBFJnc657cZl+QoD1zbSDZKVltJNgm5hSUZsmjBCgptjXxkT/mrXuURR1HVdVNRRNUOL+haoVsabd2PICzpFOCvoFkSh71uyMB5LC2IhZABNEiWtiJYiKUUV8MIw7FOohugiiPOCiecn4lRGi9woDBRFYc1Y0gtLFmaBDLquK4rC4qrZ5kRRvNh+d67rvsW2u7Itt3vW3kSQx1rvX7mBURSFYei23rzQdrfdfL1qj+DEp0gItDZEEwA6NfAJBxnMmQsAuq5LkqSqKqtPKAgCxjgMQ03TRFG0bdu2bcuyirM4MMaqqi4uLqZSqcbGRtZG0zRJkiRJwhgXZ2KwwGu2/iq1AaMoMk1TURSWBML6wNZjmqYgCGwXrTqRZdVA7StPkiRxHG96+QFJkhzHYeESrCdBGDsNtzS7b2k0fx15QxcbR2hjoXBlgWmi3iQew+hi5wVEmuJjTcngpHLvgnjtonCwKTlR9kMFFMvZl4cm44bWPcWn/DYay2TnIEtN2ey+cDgby1/+5V++/vrrTzzxxO23317pgG9pabnnnnu+9a1vzczMPPzwwwihTCazsLDwq1/9Kp1O33fffVe4z6vy5JNPqqp6//33b3ZHquH7Prssa5pWqK+7HWGj2iyha7P7cllEUcSeJRRF2cSku3WBPX4Uwt+2L8yQwUb0122loz+vIxBRNYHUPBdWMoDULEFoXcjcW2vjLQNL8wMATdO29TNSIUtwuxsOoihiD9hsfupmd6cicRx//etff/jhh9vaShNKtxFbd/9yNpHCbGhOLZwfnxQy5cI3kpjMju9C9bleWIruhVsXQqouppsBAGW6KrTHNPGRWHSro1RwsntbGkdm5kItBcVvhYEYub1NaSXdvoHbUAOO405K6ctZA5GU12edbuS3ZZrX8LxiOw42Vu+AqqrFuczVURQlpzXNiOWfzm2rlSxddNTuE3xQcT6fP6wnb5BLBmzmAnpWMAZEP22aBbur4zgyODcbxhRVx+SmfXHERh1s22Z5CEEQFGzIsixLskIRBBSreDmROaUr6ZlfYxIvNR1OtIwTkhxkIJ2Bytc3tkIXxKWe32FP6uzRShRFz/MgWV6QpWCbppnP59kBXPBEF5Ri13XPnj3b29tbHNZsGMb09PTg4GA6nUYISZJUZW8XXz3MS/OyL9nPF15nH8REbfbDjzmaRVFkOd0rDc6GYTBddZePOFqmDkhgtS5L3iqca8UivhckS8pAOjgDANdEPzsIwpPy700kJTk56MfBQx9Qv3/p2gAAjGQ0B50I4XPyB/aET1Y6mfvxr5KjL8+3/m5LRx8UHVrbiCAIeBwHZ8fz/PPPZzKZW265pXqza6+9tqen5+WXX2a5/Bjjz372s3//93//wx/+8K/+6q+uTFc5HA6Hw+FwNgsuQHNK2RYpk1uH8+MTuFz0M41CMjexuaGl2wXTNEE1QBRBT63emhFHTGWmhChutq+1WUy3AkB/VwcARFHEJoCrqoqxCVCtVtsV4/SiDVrNG1gJQRwDc3p0+nBv3Xr6pBfjCjnS2LcLSm5dpz+SFaeC+sxoTfLDwrLp26YCcvJQpOgVWBJ1ADidaJ3gSWpa97LM08Skq6Yw16Roi4sx6Mv3LIRQQUu1LMtxHEVRppAaAm6GYIngtCwpihInSbbjXn3pVKJlbNuuy0hLCCnsk4Kjp4RCbIjv+5ZlrUzM8DzvzJkzuq7v27evMKIuSdLi4mK9/WF6d/WxAdu2mXmKWbBZjg3GOI5jTdOKM0NM06SUspQPPkgGACQJryJPurh1WLuzeEdZllU2lkSW5XT+TOFfAZKHw38aFW94Gm7z6MUnqxmi+dRQUekebo1et5Uu23ZchAb1j3Ukr6SS4bIdE1CSmf3GzMy+hkMf26a35iAI2BDOZneEw9koBgcH29raVnVKsskug4ODhYt/X18fABw9enTDu8jhcDgcDoez2WzjyUqcjcD3/W36E3dTmJyaKqs+AwCyl7j6XB02NRtjDKIEqSZUs/rsjA4hz2kKc71idHWD0t/ZViJtSJJkmqau61tnPqbruvHlq88XiIyGI2Mz9S6FdavSW4J/USCrfRaVaZoTyiWJIg2xI5G4M1govBJaFxucSnT2TVW2Q6IJ0EeJqhsm+yUvSdJryS17SgAAIABJREFUsTUuNohJtCSZdkhM05RludiL6gPGhgUAzcS3kRwDTmMCCNu27bpuPp+fxp35fH4jYhw8z2NHGgCwqpsr2yiK0tfXV7zJXV1duq6vQY+r9BHFRFHEih+yEqCse6ZpshAJ1sYwjDAMHcdJkmTTQ5+3ApqmtcExANDpjChenDKMECp72LC8lJWv98Rv3isce/Sq9GEzSkGkQPJ72uMr1WcAECHoD55g35HjOMPJDaPSe6r0MIG6M9m3FHEc73KLPWdnwwJnVo2uWjmWyW4NO2COP4fD4XA4HM6qbBV1hrPpEEK2S3WjLQKlNExXriYX8Z1ZkeXUYFGklBqGAY11xBgls+OH9g8c6utqyzQbegVD79ZjdHah0luCm1vDCkPNWsrVsWB19YeEy+8ahlHjEJQoijNyGujFxr3BnO7nGhJvTrLggmxHL9XpaomfI4Bej605rCOEABAAWqDSEFh5KkxIKZZ3UTy6gwJvDqkncPq00AAACaATKEUIuQKz/gkhtm17nmdZlq7rhBD9wjFpGAbTFCilrJheYSmMcV9fH4uQrvcTHccxTbPKgqwD7GLOprMUQqsLIIRYmMOqwdC7BBknDeTchf+WDxtd101daY6PmKZpmmbxgIGiKAOzj61czyLu2iv8xps+eue1+z9xx/6PX98uoYrnnQDRnuhnLDUliqJZVzmjfKRiFzN3bJ3htLXBJgpsdi84nA3h0KFDs7Ozr776avVmx44dGxkZGRgYKNyeFhcXAWDfvn0b3kUOh8PhcDiczWZ7/57hrBes0NNm92KbcW52EaEKZ1B2pvYU3d2GZVksoDYIAtM0obWn9nKC4fi5vT2lNQm3BY5c3riqhw4oa5PR0US+Dov9wuJipbek+fGCnsv8mLWsUJZlH8tQdArMiZYkSbOSFWKp8J2iSw2kLAuiFml4jKimadp2/lYpDwA5KgIgBPQ4TsOlNu0wDHuom6bRgD8DlE5hHRDCGK9qFl4vDMPI5/OshCBCyLIs5jhm1RFX6r8AwNTqtVWDYdkdllXGz84cu57nRVFk2zazOQMAIUTTNOsCa/jQnQo7kBJ08XBKJWctyxIEwXVd6o4300HRPZNZfKo7eIlZywHAtu0zLf+pZFUUIK3mAKDTe4a5lTXdsPd8vsqnK3RpIHi8MGiRs72zykNlW7bO/3O8IwozFCqGcTg7iTvvvNP3/d/7vd976aWXyh7hlNI333zzox/9aC6Xu/XWWwvjSc8++yxb/Ip2l8PhcDgcDmcz4AI0B4Ig2NZzezcF13XFVGP59+IoyOf4b+yVaJqm6zqllM36txqbUFtvjcuSOLL8pYH+7eoSImL5XAtXNhLhkigGTBIUh2KyutjkSnUIrNXsk0Vqpud5BZVtlU933e5gHgBSidsTzAGAKyjDSqakmeJcYv0WJdnDyqvRahoopQCQJRhjvOJMQsdxQ1ZJFfrMZNw26o6LqUMkCwAU0CLIMYUrI7a6rquqaj6flyQJXSiTCABJkkiSZBhG2ULwgiD09/cX1yesnTiO8/m8russeLrwOjOZlth1wzCMoshxnPwFbNvmMjRDluUOfb7Bf6XwSlvyOtBE1/WblJ+k8EKONO+T3iRUaIqGJJwUxk7y+fzJpj8cbvxtAiIABMg8q96DYdlRPnb8WfaHlUrPt/9xlbsBhqSNHCkcITGUn4mPgYpn/9+dEZBVKP7O4ewYvvCFL/T19Y2MjNxzzz2f/vSnv/3tbz///PNHjhw5cuTIiy+++J3vfOfzn//8O97xjrNnz3Z1dX3pS19iV5Ioir761a8CwIMPPrjZW8DhcDgcDoez4fCaMLsdPiV2bcznHUiX1+lonWXcdgmGYTCljNU9A80Aq6mWBSkhNDvX19GKUMMG93HzaXVmAIAChIK8JKyyvRSVkTUrIVQRoAURyLJwZhhGjeZ9URQjJAJATtBlsiLJgRIxDjrskweEl+Tw3YNyH0s2eD2uontS1qYpzqcS/7zS0oAJ1fXXihYhFwzXKhAWbUEIYdUCNU3bg7xz2AIAOQ4acQgIrsw4ECGECb4l5vEwDFnIb1nHN5tzbVnWmmdLMN+6LMuSJBU+mlJatlyhKF4SIszmHyCEXNfdzUEcvu+bstQijBS/OBA9AUABoF0cYq9Q3QQbzKXXSMM7CzvWdV0XJL/5k+noTHv8Wj+8VlhDX/LLJLlPEEQAyLS2TcV/0Dr7T2V9/xQgHZ9W1cPsG7Rt+7zxwJ7wJytbKsgbGXy67eB712XDN5cwDAVBWEMEDYezNdm7d+9zzz139913j46OPvbYY4899pgkSWxgKUmSwiSYlpaWp5566sCBA+xf3/cfffTRD33oQ/fdd9+mdZ3D4XA4HA7nSsEF6N0LpZQXBVobhBBiNFQMEXBzrNA5S1+9kh3byjANLo5jSqmu62BW8I8XEeezFkoyzc1IryMkeotSmxI6Y7RgQgiuTVmuJ+LYMIxshWGRqLFdmh9nfwdBoGma53mrfDJCVDFm5DT7d066qBFr/lKf91onHsSIggAAcIv49DWx+Qp995zY0BIv7o1OYJSINMzQc49rfxxjAQCaUdQuhBjouURTZLkRQwvKB0FgF7m8RUooWlas0hDZSDIUlMQxE3+DIBBFcR+yz1IzwoIDgkIiEWOM8RUYEHJdVxCElUouC+KYnJzs6uoqeYudEZlMZnZ2lknDsiwjhJiNunZdOAzDMAxZrE2SJOy7Yx7nQoFBXdfDMCxWpdlSALBSqt5VxHE8naRt46MKLIVEHkh+jIAgIDNxb6t4UZVuEUbGpBuNZJZFkLMLOxOY4jieIT2u1r3Pe6J4zeePPtt/w7JY3N7ZE88KApT5QnNCv407WpKjHh5gB2pChYQKAirTuBe/OZO9Od1Q09DdFidJkjWn0HA4W5C+vr433njjscce+8EPfvDSSy8V1xtECN1yyy0PPfTQH/3RH7W3txcWsSzrT//0TzepvxwOh8PhcDhXGi5A71KKHRmcehmfmUUNrWXfokkMgricH8pTOIqILwiFsixDprNs7jOl1PSXVEVBCCmyLLSsLlJvFwx30bEql6y8CCpWnwWSNHvzIRKzelnJqQ4FWtM0cCoKmoUVKYpSixypquq4esm3o7sLVwfPpPA8Rgms0M81bN8LPzgd3Lw/eRGAuUsBAB7y/vl7xh9gSvaIvuvYCaV9gkMI8SilRsOSmJpKLnokm2LbgeUPPYHTh8gSyzsGAFEUZVnGGOeosA/ZU0gbRlYT8jPE13X9CgisbFil7AdRSnO5XGdnZ1kftCzLqqratm0Yhud5hVErSZI0TWMDNrWMYxXGDMqOHyCE4jiO49gwjBKbtuu6tQw57GCYZ9wGASA5bX54IPo+BrKo3GTj69vjl3U6y5qpStxIFgz7+2fk91uWxYztnuexwYNsDKfN3+n2n9LIHGu/j/6SkPcUAlIIlArQCRUFFKeSoRnpFgGiwjCJF0tL4oGm5ETZ3qan/wUa/mwj9sOVhyXGKIpyBeqFcjhXgEwm88UvfvGLX/yi4zjnzp07f/48IaSvr2/fvn089YjD4XA4HA6HC9C7EaZEbHYvtjGJ0VApzgBhgeSzcRzzFI5idF1nc1EFQYCW7kpVBzvERG7cOaJzMXvaWo7VUTJwmQQLM3pLxSKNK4MvqkLjGImrXPPjOK5uGcYYy4a1IC0nF3cuHD0o/BKAIrR6IsiA9MYIvTFNxrGkR9hsCt5WwX7Y+ebPtI+9EZtdmtyOA6bhYoxniDhHLwnOlor0OwroBEojBFeZYNs2y60eBc2AeJoKrdQVSAiC6Dq2ZRisNN8qnVsTGGNN08IwjOOYxYCUVXJd1z1+/LgkSaqq9vaW5p43NzcTQhBCxbu94J5DCDH/8qoXbVmWmYda13Xf99naVFWVJImZnX3fL4ggGGMWyM4qJUqSxIckAcBx3HH9XT3xM1iQsnk/h281DB0AIRoNwBM51GElk4eix2ftriWhu1949aTyEYwx27152x6S722QF7v9ZwDgtP4f1aM/7j28HO1KkQhwSaVfAcVD0oME6/v978agzIi/xb7iMAwn5KsE7KfJuZU9VJB7fvhYR981G74vrhRBEHANmrPDMAzj2muvvfbaaze7IxwOh8PhcDhbCF6EcNdRi5DBqUIYhlgqX1AOAChAkiQ8eaMEFlYbJwlq663kfe4UE3nnRoJqmqrZc2tYUCSxFpaXroWkvhOZLkyWfR1FIQUwLcu0rERUtApF8xi6YUwoTR6WAaBj/tjV4gsYEYwo+1IpIAKCizIuyhAQACAGdVD+2LB0/2nlkRhrpk6n0w+cJjdNidfPq4dPpz+pQ+6G4E0KaIwor8UpzbRM0ySE7BFLT6ISCZkiRBAChJirdwaUPJKnkN4KAQJoRlGIhHmtCSFkmqZlWZejcBUvqyiKeQH20SzWnI2yVPoU3/fz+fz8/Pzg4GCx0EwpTafTgiBUsmlTSl3XxRhXL1dommYURbZt5/N513WZrGyaZhAExR5qVi8RY8x67nkeU8wVRalWpnLXQCmddeSTwm8zOZ4Qks/b+Xw+StAZ8YMpPGcLbYRKrcp4v/gaQiTwHUVRCnU7wzCc863z6oMUYL/73W7yakHWJ7TMObUn/jkgHIN2Vnm4+L4chuE4ujGpYBHoC/7XDovtZkfpZveCw+FwOBwOh8PhbCDcAb274D/zLp/xmTkh01Hx7ZAXdSyP7/tqa3f59yhtjB1R2+ETVK/p6z42OuXp9ZVSjAUpFsrr8hKpT4DGFaKlqSRHzcsJxUsz077e1AdzLD5YEARVN8iFiI4Qi2OCCQAdi2/vw29okg0AEegezgSowcXtHrUIIay0KUslDsMwtG0bJID8MXxfIafC9/1Z/TpEKQISSJ17o+lzUhsAHAtVioUDpjCdlPbWQ2X2w3gsqhLOGNiAIEulGAkAaMkPVE1DQNuFJKIgAMUImYoAklbYrr65p3OZm12ljY2OMFRVNaM5X2sXo1womBhjZkwOw5CZNFnBQ6bnKopSuJwmScLWXD1SmRCSz+dPnDjBMkPCMGSZG1UU/+U9H4YsxJn1oSRGAwAopcXX9iRJCt0o7k+SJKIoGoaRJAnLjBYEgfWcfV+7OQ+6QPEhoWmaIsS94Q9d0gIAFl5wxJQc2xIKACCFZhOaLtbuCSFZX5SUe7qC5xFA/u1vNN34n2DF8AlDoEFj9PYp/EDklg4y+b4/ZdzZFT63cikEsDh1JtN11eVv6daBZbiLq03R4HC2BZTSxcVFx3EURWltLZ/YxuFwOBwOh7Pb4M/6uwiuPl8+lFLcWPW3RHaWqW+cApIkAYCqqqBqZRuES/Op9lrykbc91/S0z87NjYcoVozVW69Gi1R6OnueN76w5FAhlhRASAz9BoH0tLUwgczU1OriIqXU19IA4GIZY6wbxqxkzeJLqoQhkly3+JM24SwAEMBn5Yf8kIZ+IVvgoo62MoyiJNkjDMNe+hYAHAz+nQAeFz4dYglkRSLJoh9NCVpJxvWiaBqUljjoc7KZAwgp7gQ/xiIAnBAawIA+ko/D8LxsApCGYKldRgtS+rrjX5049JkgDBVFSS0cSS0cAYChw/+H4/oAIMtyx+TPBG/O8MbyzTeeb7rXMIxCHb+ShArmdGbZC8VUCeIosPISUaOhlanDmqatDBWp3d+dJEkYhgVPdGG7WJ9XhkTvchBCqfh0CHoKlicQGDg3hg9206MA0I9epe6rJ+SPFWeYEEKypLUZN6lkoRFGx06+aLVfk0J5ABiT7k0l51NkuLB+nc6G4Z6yt+YcyTThTCFUupgW+2dRvE8Ud9SUEeYB5xo0Z/ti2/Y3vvGNH/3oR88++yy7or7nPe/5+c9/XmjwzW9+8/XXX7/tttseffRRHjvD4XA4HA5nt8Ef9HcFNZax4qwKpRRV9Sry6OeVrJrv2SivFh68g2jJZFoAkiR5e3wmMi4j8DpJ2lovqvZjExOzSEtkDdSLDutIk2YBZue9HvDaWjKN6ZRd3TNNEjEO1DAnw5ygt1BKkzDMROMYkhlrP1CKSXRH/v/ThRwBYVy6x0OZyzHMxnHsKa0N4SkAwEBak+wYbhFI0oUDoqoKQQ1BdlK6xDCOgNJypRezWM1SRY08X1oe5BjGFiigRZ4S+7KsIhTOI3Ww60PS4lhW73znm/9XYdn+t/5rNnOLGDuKPTLRcnefOTcl3G/6U6wqYKXOU0pFUVx5XU2ShFJqGEYcxxt01fU8r1gmZtEftavGCKEqaRusmiJPaiogCIIZj8lwiUO5Wzw5ER7sRCcBAAFcHf7rSfFBUbt4wARBcE67f2/8jJrMtXi/lEeeZa+3hb+W0MVBCwKCSuYNwyh7Hnmed1a5u1mcaI9fLnlLRn5+6N+MAztNw2LlE2S5YsgVh7NlmZubu+uuu06dOgUACCE2xaSkTTqd/sd//MeHH3740Ucf3Yw+cjgcDofD4WwmXIDe+XD1+UrCc1RLYEqcVDncmRLSVLXwoOvY+am3W8I3BBoCghi0Se1d3Xu29/RzQRAO93bML2bPxRJUSMaoTje1AQwAsB1nMB8TpaliUyyMgukOD+/p7SWeXynBnHjOQPDv14ouiDAfD4zkdNM07pafQAoAgBcdQRgJEEo4NytcPwcDnuMBXG5cw1TYqspXN4bH51FfAtJ73J+eF28c1tsBADDMa00GiYzAmZFSy5tCSYIqnGIIgSheTbIRoEWQXQKuoHqS5knaQZI9jhsAYMraCwChIJ9ve2DP9E+WjH61WaKAVXBjMQUNvdjcOyTePLDwdRpHE0lSXYStEvcMACx/ec17pjqEEF3XWdw8Qqhg066FKIoqiSNwIX1CURRVVVmsh7siHWJXgWioojLHuQiXfLl7ol+MyA8Vv+J53qh5/373Oz415AvlByUUjgl3+mKbSL0IWX4QKMolMwyKWQ5FgS4odxg2o7EzQ2/0DNy8ho3ayrBQmiq7hcPZguRyufe85z2nTp1Kp9Of+9znrr/+elmWP/zhD5c0u+aaa5qbmycmJlgB2E3pKofD4XA4HM5mwQXonQ9Xn9cR/oOhLpiIIDZkwFmCpvaybYSlGaSXz9ReXJxvmvpmI3jL+jQCAJDB7/e+HxzXyMHPbXe5v7mxoYnSsYmJaTEF9cymx77b3tUGALbjnPQwSKuLNfNmW3ccNyVu9lIBmngOXRjvUk40ybPoghK+SPZS6uXz9hnrAQAghGKMaAIIUZCp54dxXC1ionYopUvKVY3h8SY6fG84goEuQs8oXDxUIixl1XRz7OaoGGFJiUNXrnjb8pEIFCSgGeL5vs+q7R3H6ZMozRqEogKUAkJDLXfsmf5J0NLTSAYB4Hz6o5GwHEE+sPB1BIBobCTzLpQPjSl0vsq7G32t8DwPIWRZ1hoyf8IwtCyrimzNYqlZ3rQoirvZDU1BCKimoNIDvgnGiv9VkFMs6COENE1jbn0CuHgNrthl2zYAYuM3JdEuBQzDYNe3KK54IA2QZ8ZnuzMtbWvZsC0MGzXnGjRnG/HVr371yJEj+/fv/9nPfrZnzx4AmJmZWdmsra2tpaVlcnKSB+JxOBzOOhAt0Plf1tpYbkLWoY3sDYfDWR0uQO9kuPd53fE8D3BlTSo7y0t4FVBVFZglHGNo7SnbhoRhb0cZ9TlJEvvU99rRUKWVK8ibOPWjpoMf2O5DAgihnq4utnfOjE1ktcpG5sIiUXBjZyMAJEly0qEg1LoHjs3mrslYTTPfknAo4iL3a+qSZgmV/GD53Xy+9Hg2TXMd5UjTNCOEYHlwgc5rBw+IbxynhwgqcoUjlJcMBLDHm7ld+akQJwnBM3HvEm2LiZgXUjNa24VgaHQcN7Tlp3JGs2oYcwlxQQFAl4R2IAQAnqRlzf3tZJC9FmHD931Zllu9lxEABRg27krZxxe126tsbCXpkLGhaTy+7wuCEMdxXd7nYlZ2nlUmjKIoSRJJkjDG7GrGXt+1ckmc0Cnxjp7kOQyXfKHj6No++E3h34CaVnxetAaYwZwFGVNKz8EtrfKUQuYBYJ52N6CpEuO5rusA4HkeC3XRNI2V8UQIAaVGMuqhateEzoVvhi3/ZR23d4tAKWVjSJvdEQ6nJp577jnDML797W8z9bkSqqoqijI6Orprr6gcDoeznkSLEIzU2ljfB1yA5nA2Gy5A71gIISsLZHEuk8mZGam9r9K7NIkty0qSZJdPWgc2eVw3UUMLEAIVfMqUUjPMA5Ta3FzHMUf+RytaxdfZCceWgvfuJIVioLvz6Oh0oKertMGhf7jVYjXo3p6cBy1VpXEJsaxLs/+iiKvs2OHorg26dBiGUXxqaJrW4fzCikcAgAJMa4fbpXMA8NvwzzERJ+N9EZHhgjxNAQxhSUAJAAiYdMjnO+A8W48Xab+m788ry7ti2moHAA+q3d8owmGmB8hJ9u/+xf8ZYkt2l8XcSXz1HuX4Ih6QBElRlLLxygghWZYr7SiM8Ya6hlVVvZzviLmbi1/BGEdRFIahKIq6rgdBUBhLcxxHURRJknbn6JrneR4orvawju2e+OmCDG3huWJFWkV2Jn57yGmUjWYAiOMYeZO96C0CwoT8vn7/3zAkzWhsUHnEs20AEEURY8yE/qboaNY4kHdjlhuuyega/JQXtVpkhAIMx9dXOZIRImPDp7v79m/oTtgsuAbN2S68/fbbzc3N1113XfVmgiBgjKtXqeVwOBwOh8PZqWzvCeycSlBKufq8EVTJMgbXRpQAgKBbhmFcuT5tMURRtCxLbOtBDS0AUEl9BoB4ZjyTyZS8GIaBOfI1CWpKFRg/f/IyeroVua6nLe0uQllvFKWZIHtje1oQBABwPS+qR30GAEAoJKvMas8m3U7VfV82OLgWmMRZ7AuWBNCTqRgpADAi3szUZ4aI4h5pcJ/y9j756D756F756D75aJtU3uOgYe/dwuO3e88ocR1hFK3kdPG/MllWnwngVnkMAHLSAIu5WLksU2mrCLIsuaL2ztQLxnjNX4RlWYqilHSPECJJkqZpcRy7rluy8iAImLF37T3e5nieN+8IZ6QPJ7B8C2gSpkbh2uI2x+m7D9Kn+51/ofnzaf8tEQId5TDE7eEvPdwcgwIACCFVVQ3D0DRNkiRCSBzHY1F/AjKzQmOM9wRPiuBbZAQAEICF5s4mN1XpW4f/7EZt9hZgDQkzHM6VZ3Z2VhCEVetnMuPzdk8P43A4HA6Hw1kb/BloB8Jq+Gx2L3YmolC5XpxuQmM7tPZAuhlJsqZVS4/dkSCErFRa7dpDmztAWEV9Cxem+/tKczkIIeLQYxLUevTqML+Wjm5t9vd03NAgtYRLkpMFABx6Sm62m9g3NEh7OtsLIuDp+bqzF1ASWdJSpXcjqpwJ3zuc76+eLBHH8dqESEKIcOnp44fJ2dR/HLU+AABt6liF5WqlXRp+AP7lVu85M1jFqNuZH713/rvDwq0UymzIhHxYRBEABChtmuZKq5qmaRjjsrboYqIo2jjzpu/7a77CRFFUNrvDcZwqonkQBLvwmlaCbTtD0kMxLH+tPdKpCXRxLudN+EkBxRhoFzreJMzsw68BAAXBImMGmRmT75ujPews0OiCFo03JEOe53mex6Yr9YZPWaaRJImHW4o/tFmY2Ce8QWjFk67G4brti+/7PK+As8VpamoihJTcPVfeKz3P832/o6NjN4/ncTgcDofD2bXwCI4dCPc+bxy+pFc7ZxanaHMnys4is0FES7CbZllijA3TgpauWn5UhYtz/R1lCmcFJ7/RgHK1fyillccDtjOiKPZ1tPUtu6UUhBpXtomrJnWUxcyPQgVr/tnwPjdAYbj6EcvSP+r9aEaJAB2GYRiGiqIMGQ/141+sbZ0ldEpnO+FsGCkAEBLlRHi7K5mIUiX2NZrvjn5j0kUZPABoSCYSEIeFW9vISYMussXPCbd1x0dOwL0HhRcBACFU4gU2TdN13VrynVmchaIoGzEcuGb7MwD4vm+aZtnbRPXYkCiKDMNYVXnf2di2M2Q82B//SAQfADrFMzNJf4acK06INlD2tPZxANjvfLswyJFz48h8p5PPA4ADimk2IwDTBNd1O+XRvLCXRsL+4F8j0ERSRlDGqOJJJ0KQdWzdMNd3S7cUQRDwLA7OVubgwYNHjhw5d+7cVVddVaXZmTNnxsfHb7rpJi5AczgcDofD2YVwAXpHwasObiiEENGwqrXIdCHfAbMBJJkuzV2pfm0+pmnGBKCla9WWlNJ4bmKgp3vlWzNT4z1oqq7PdXFzXe23HZV+o1YUQClNBUs5JQWAYMWyHfhM2YXOh3dl89Vcz8VEUVQl+7g6tm2bplmSXBEEgWw1DtIPpWEE0yiL9vXQZxXI1fjrnIAwg27KQZcOc530V0wHlFEAALIQ3Ko9FWcdEcpvnQDxvuTX7O8zwp0CJHvoKwjgUPxUnKhUoWEYFgR3hJBhGLZt1y7CxnGsquoGBSKteRjAsqxK/fc8b+UXVIClcAiCcDny9w7AcZwh48ED8fcQUABoFUaIIC4GzY14stBmv/Nt9oeBsqfQg83kRFrHduBalgUAnufZtq2qKgJqGEaS6P3hE6y9BNUGgabEO9rjl0peRAjUsW/SA5/Z2ZIWz4PmbGVuvvnmF1544ctf/vK3vvWtQsJGySkZRdHnPve5XC53+PDhnX22cjgcDofD4ZSFR3DsHHjyxkYzPT2zeiPViJxsNHEKAViWZZqmcYGN7+CVBmOs67qZSqPWHqmjd9X2JAoNd7G/nPoMAO2L3y37eryiSmGB3r0HauzqDmN+YaHSWwIlkpNdqT4DACpnopxPBrJOHTcCSimrn1b7IsXEcSyUy7GxbXvcbhp12vK2c9K74zT60Bw6FIFefW1j6M4T8QMTdtq27RlbPUUe9KDhkt4CCFBTMcCB5Jd7k5dm0HIxN4IkhJCiKIZhIIRYPvIaqvDZtp0kiWmaZbf6cmBJsCd5AAAgAElEQVRG5rUtW8XBbdu2oihl0zZkWa701m7DcZzT0kcW8fLRgoE2KnOD9E6yItQlAuXgdbekDj6CaGzSmT3+DxGNNE1DCPm+L4ton/94c3S0xs9tj18KaJn9r6H8wuCPd3xOBc+D5mxZPvvZz6ZSqe985zsf+chHXnnllZJj1fO8F1988YEHHnj++ecbGxu/8IUvcAGaw+FwOBzOLoQL0DsEXnXwCuDUEKkRLExf7f1LL3rLdd18Pm/btuM4juNEUWSa5g6rPGMYBm5sRS1dZeXOUhan91hKprm8Z9nO5yQocwBTQJPqPWUXSUCUpFUK/uxUHLfCoYjQotYUmU0r35EXJkfJoZWvLyW9tQRKAIAkSaqqKoqCEKpxkZX4vi9JUnGlJl3XS0bOCCG2bY/YXWfhvVUUtQW0f94zi5f1PG8UvessesCHRhbUOxd1M5tqjTQnZyNQACBGGttG27ZZb13XZW2CILAsq/Yag0mSsJWse1lC13XXsM7qGd8AEASB53nMq1tMGIaUUi4CMsIwHAkPjIr3FUI2DsivBEJ6jl4yFBeCAQCOnesOf9FLX5bA3RP8iFLKBiQSEAWIZahjYENB5c/9TnRsZuhXa9yY7QM//Dhbk4GBgZ/+9KeiKD7xxBN33XVXJpN58MEHkyQ5efLku9/97kwmc9999z3zzDOiKD7++OO9vasP2HM4HA6Hw+HsPHgEx06AlTByHCeMoiiKmhob113p4ADAqvXN/dmJ6+J/BYAcXDT5GobheR6Lu5VlWZZlx3HKWtUkSSp8cVtf6DEtCzJdqAZJPVya70oZWkd7lTb5+eGyyjQC2uM/VXaRUfW9HbvVQ2SZxlw9ZkfRXgibOkKSwKXZCR5pdGuYNSGKoiRJYRgy7fIyZ1oUZxAbhuG6biXnpuM4jtlp0omy7+agb2UWBDMp2+LtCCFTISQabym3bCVEiKZgXxuczin7McZMgy5sr6IokiSxCn6CIFQ/nUvwPM8wjOohy/VCCNE0rfZ1SpIkSRIhRBTF6ktVCuIoG6KyC5EkCQB0XfdBPyN/dF/4fWa017Cjyc5YdF0HHBcgAQARAgBoam7xjf+8cPKHAiSt6IyejIPa5fu+bduz2uGW+K26Pp1QVDYSupf86tyQ3tl/4zps4RbG9302DLbZHeFwLoIQuu222773ve/9xV/8xZEjR6Ioeu211wBgfHx8fHyctdm/f//f/M3f3Hvvvdvo6KWUru9ta90p3H+TJNnWs0BY5wkhW3yHr0rBoLADtoVSuvVPgdpZ322pa1ofhcqVlC+3cbl64pUaU5psjW+z+MK1Zk/PVoBtyA44TbbLhYv98t3WNzvgAvQOYHpmZiECrOpI0EEAUGE8otTz6dLCni5eaHs96WhrnaycfepPj1+b/Bu7DTpCT5Lk2esyCjQtCHBTPp8vVF0TRbFYxWM5s4qiFJSdNU+uvzKYpolaulc1Pkf5pXZDNtoyq64w7R+pqwMeWO17rq9rkZ1Ec1PTuflaxyek3EyUagUAwMJEvq9THy68NRrdHoari4miKHrrWlGTZStLklRFfWZMwG3d8LwOZSJHGujZLB4o+9zGHh0ixQRj4G2pV1Fkgbip4EzGe6O42aJ8cM58BwAgGgOQgcVvAUA7OTUs3hrKA8UHNysn6Lpu4bRNkiRJkjAMVVUVBKGWVOiNiE5GCJmmSQgpGLQrNRMEgV1hCsJ6FYrDr0tIkoSXImQjMWEYsmkBE+I9ndEvBLS8V7ulkyHVJ6I9PeioDMvfi6pqnTc8QimdeOvf2uI3hPjlIe0jlNJFuKpeAZqpz4RijEq/x73Jz8+cU3v2lpnrsJNgo7n88YazpcAYf/CDH3zggQcef/zxf/iHf5iZmWGzRiRJsizrz/7szz71qU9trwgjdo/LZrOb3ZGayOXqKGG9ZfE8b30ftzaRHTNWvV1OgVWJomgdt6WuIjyU1KEpk4TUrm6ThAg1rzqKovwW+zaXlpY2uwvrgO/7W9w2Vzuu61b/SbW5sP3MBWjOZuK6blYyBfmSSy9CCEkKZDpGfAqURJPDA/37NquHOwlJkiApc8JHucVwYfqw/NPCz+HCdcE0zb3k+wCQxMKQ+RB7GguCoKyHtPhZzXEcRVG2Zqi3pmnQ1FZdfU4Cv1UkRktDlTbFSLQ+Pcvt/oS5u9UHZXaYyHpkNQFe5TmNyBfzx8fFazrhogBd4w1s3WdUxHEsiiJTkapnB9m2PYhvkSRJliWBhnvoT/EFF3cDnJWkQ9XPEXZOsY/I4YGFxusR0FRwps395VDD77ohifLLA0WGYZxu/AMAoACUUkQpS0MudJhlaKzMr2CPApZlhWFYvTNRFK27dMs2UJKk6rKyaZqs8B1UDYAu6WrZX4/st7FpmkEQrJrmseOJoiiKolhLRygtwGLhdRn5PfLJkehwD7zFjnP2OkKo8/BH7SP/XYGkJ/zZqPwfVDK7to9eqT4z+qMnh4alnr6Bta12W3B+dIw2tBzMpDa7IxxOKZIkPfroo4888ojneY7jEEJ0XTcMY93LAFwBMMaSJKXT6c3uSEUopfl8nj3JbESthSsJpTSXy7Ggs83uy2Xh+z57FtJ1nc0W2r64rksI2eKWoFpgKqckSbq+Sm2VDaKuAWOMMdRs2MAY1560J0riVrigUUodx2GulFQqta1H01lqoizL271MdOHCpWnaqlPeNxF2g9jWxwxwAXpbE4bhqE+rZCAghAAhuWvvxORkZ0fHlezbTsWfHFFaO5PAJ7PnLJjqkY8vXwAqPC5iWNYI5vG1dXkBWKm3KylA1653i6IIUsXnYxKFZmhXynquRIjTQCoW1ithTL6nxdr8B4hN5K2x2ailr/gVyclGRhm5H/tOol4UoCP54n6jdHUBWpKkYmP+elHIjqglFZ2VV2UH53H5t1RZGKA/BIA5uLq6AFqydewhCQDy0LGY/qTrXDK+XaILszJxxeeg67q6rleaZZbP50VRrK4vMzdZLQbkeonjmGWklH1XEATXdevyX7NokSoNbNtm5usdY3G6HERBCIkyGx+cTfbcpPyk8HqvdJyCPDc10tl7UQ5GCKlX//HM24+n6XQQTPWIb4wo7+0NywcNrQEEMBB8f2ruk42ZtvVa55YDYyxKxydnD7VntvtTOGdn8KUvfUlRlD//8z9vbm4GAIzxDqg+jRBiGvRmd6QilNLCZB1Jkra1AM0eDARB2Mo7vBYKD2YsvW1zO3OZYIzZJIbN7sj6wKYertfa6nJg1nWnrrNxHV3BCAtb4NtkFy729+XUdd8KEEK2/p2iFgq/obb4RZj9CN3uj77b+Ijf5cRxfDbr1pLACwCBuL1HpbYODdHJAzP/7dDSY9fIz/QW1OdLCWE56VWSpL3kf7EXPVSfIAsAURRt3PWF/TpiM0MZsixblmVaVvUCaxhjSJeP1KCUBtOjfaZcr/oMAFn1phpbTgqHW/rfWe/6dxKj4xORVlogLjIapNzcysZCcInMSiU5SJYHDxACSaj21MayHTZIYWTyZb0ztsIwzNneIPrQCHrXLOmvruRWOX1WnV3leZ6maSUPhUEQVBkVj+PYdV3TNKt8bhRFzH7CSvyt1wmuaVoVI3mSJPU+S0mStOrgBKXUtm1d103T1DTNsqyt/MS2QSCELMsy6Rgg0aUNGOKp+JL5RghoR+67U2Nnil+UJEnrfY+OcleLL4xq7w9QrTNFVuLQ8i7gtoV/nh07sd3n6FUCJTEAiJp5cnh8s/vC4QAA/O3f/u3Xv/71lbVbORwOh8PhcDgFuAC9LSGEDM4sYrnWWVrs1xrnMpkaeqlHOrFqsyzqZ65JWZYFWDYCBFC3Y7dEAxJFcQ1ylSRJZZdSFAVjvDxfpqkdmjugpRtae1BrD7T2qIbJPtFKpUosPKIoglRegyNhcG38b+GZb+TzdQdadfT00xrKSIyIdzYdeF+9K99hzEjlf+JGRhoKBwxJAAAIiaxLBgNw6CnCsqWXAiS0jF0IYyyKoq7rvu9vRGwxAyGUvxB/US+2bc/Zq8dSr+F8KdGXi09AWZY1TauuXDNNVtO0slKsaZq6rjPJsnH2+bQmttHxK+PYqksarsuLwXYIxph5wLdXwunlw77xubDlfHwD0rsNqzESm1Y2a8t+d/jMseLDqam5BSEIQO/yfrw/+NcqHzENh+Y7PpPt+fNF2rXyXQOVjz1FQLvdJ8ng/1iYX2PEx1amp7ub7UyhoXloZHSzu8PhQCqV2gEWMA6Hw+FwOJwNhQvQ2w9K6cmxKVGvI5FKphulIu0epidHevFLNTW9MLMmDEMfGgmIcNlp8SyATBCEGv01TOTSNE1VVTPTZpoWsygahsH6xsqFJ7IGig6iBIJYnOmMVN2yLLWlA1q6sX7JJ2KMK4YOIwCAFJ7PzDy2lJ2vawMxxueND1dpEII60/5Hbfvvrmu1O4/5hQUqVPiJK0hS/oIJGgsAIOVm4FIxsckZLPw9Ed1cErMgy7Ku64qiUEpd193QKsC+72+09lpvQjEr01f413XdgoTNcjNqNIMzTXZl0B7bq5TSlH8iSNC+c/+9Y+rJRrx0+ZPvMMaWZem6zuYuiBdQVZXFj9YVPC0IQl229ziO2fo9z/N9n/Wk3k3YvlBKoyiK43h5p5HyZ03GeWr+yDcKN4LFhVkAUMGZTqpVaKAU0vsfNK2Upmnq/kcTWmZuSpVbi46W2uf/afbMczVuy3YBIRTOLHufk1Rmbr6+2w2Hs+4cPHgwjuMdU4WJw+FwOBwOZyPgAvT249jpITHVWHt7SklnR/vG9Wc3QAjp8n5Q1k4ZQOkM6BY42qgnABBF0Si+9zx+r4061/ChjuMw3ZkFrcZxHMdxjZqaYRggq2LHHmjtgVQTausRO/bQTCfCWFVV0zSZ0IZpAulycRlmA7T2ICY9W43FclIVVykJLv70apn7n/XKf529B8YaPr5STElAPKd9kBz839KN5aM/dhVTbrW9GlkZHLiSvaDMjynzY1G6DQAQJSl3OV97j3aS/RGDvBQ2Fo+LsMAN13U9z9s44/PFrkbRRrtlgyCoq5hPkiSEkBLLv2mazLlclxwfRZHneWxBVVVZEiKzbBNClHi+Sz072PrbAKDPvWZol1txyLZtpm4TQkRRZBuCMfZ933VdVgir9rXVOzBQLKCzklC+77P9Vtd6yvbENE1RFE3T3BYRH5TSWCx/d16ibc1oJDryd7mlLAAIo48DAEI0g4fLtmcgBFPjI+xvjLG797Nl2lTtEgLoJq/kBx+vaQO2D/09F/3g81itXsuUw9lo7rjjjtnZ2bfeemuzO8LhcDgcDoezdeEC9DbjyNG35dYy83CrgBAe8emI//+z9+ZBkh31ve8v8+xbV1f1vk7vM0KjfUVILEJgjFjEYmRWX7Ah8PNd8A3HC7/3bL8X78WLR9iEfR1gFl+wL1wsGxkkQCAkBAIEktCu0Wg0Sy/T+77X2ZfM98fpqampOlVdVd090zOTn5iYqMqTJ0/WqTyn+nzzl98fPb3hOI5zqZpC7inr47/iUIL8NAFvFKFwBTQCaCSvbIk4CPeSR+fwrbUFk5qmqWlafjRiEATl4yVjW2fU0g31TflBzYAQwhxq7uLbe2OfDYQwqm/evhMI5Zu9UEqhxBCia2eVFIQAjX9z+8bPpamt27/izxdaP3MMv+dV9M5T0j3W4J+FV/xZe8+VF7vd/m4RlAh/TtsrABQQIpIa6BmvodNr6ASEgNIme9kXZABoXH5Z4lwA2Ijax7w7c7FauWxyexryfP6JM3lWtUsQBCl/NL/EPEMNRzdN07bt2MmEUipJkq7rnuctam+gAH302fH6OxucUwOjf79zLd40TcMwCCFhGFJKCSE1S3LVnrTiazOOFjdNc4catKIo8bB0HMeyrNg4aCcN7jW+72NER4IbizdlaRMACMg3Jr44PvKaw2/NSuporXybhv187rUoSjP1H6uhY40wRk58NbqEzLgwxqq1Na+GED6d9dnfNowLyJ/92Z+1tLR86lOfOnbs2K6nmWUwGAwGg8G4NNjXz3KMAianZ+SufgAopQCWh5PkJSRPOYQtEqwKQkgLOpq46QA8USC9BKAAgAqLcbAepdQh6mD0QLWaTo6CtfMcxyU+28Rr8A3DkDp6oblrm0Zjwai5EypUdcOzUbeCIGz5Cxch03MsfTW8WZsEVp/ODBx83eChqw/0Har5vF2qhCUSivI0AkCIEsPbbLQWc+VqYPuIc7E4mP3ZwdQRAFiLeqfsQ/mKqqqqe5RpsDznQTCqVq/0fX9TGjibIXCXekgpjVXU2CEaITRsfFRw1hvJaQIYADoXfrhzQ5I4BeIOL5mCGa9KsCxL07RE241clsJqu4EQyh+WcUy3bduyLGOMdV3fn0q07/suaqjHc8WbODh7Mzxgfw8FW0b5CEGI5BXudaWGmkrPSS7a2Nw2Lry9hr4pOMuPfPk8LG44bzQ2NATL8/FrxHHHpxJOO4Nxfmhqavrxj39s2/Ztt9129913P/roo/Pz85Zl2SVg8yUMBoPBYDAuQ5i4c9FgWZaj1W/phQgBgDM/pbRuJzUWg/ECEci6hTg+NDcaFDFdX7+7Xb3E2FiZbYWK4lnmwkFTPDxIHpzAv+M5W6neVGwCQAMMW1CLEUcBiQ8tmqZhjEFPg6rvepwwWZ23CwxkOR4AovFn6vA5zpvNeKRg3/nZqe6e/t3u0eWL53lQQndb0ppV35JCj4v8Zb0lYy+vqo0cCfXAWpdSvdaTTfLsZtS+GF3puGEQnDMxcKGiy8/DE3gNh4jjdjVNs20bEBIEoVozmW3bBwBZlkOsGmRptf5Qev013T6ttCs7nAaIosg0TVEUDcOoNsEjQig+V7UJu/E8maZpnucVxNHHVtqyLAuCEM9IxTlaAUAUxSAIYn8ShJDneQih+GzHIfkFRyGEOI4TK/Vxusj9NpnKcRzGmCs6hRHFCnfOaWnC47nX4+I7M+ExQjkOJajDItgrG2up1Flnj7bea6bn6zs276/2uhWR5458izv4ySr327/0dbSeXlqLTcn4uvTxsdNX9PVe6E4xLkf+8i//8q//+q/j14888sgjjzxSvn5869v7fjEYDAaDwWDsI/ZjDBGjGELIlBUgdM73FavPke8R36uqNYQxJ6tYEMV0U1ZOLSwubr/PZUy0lhz+XEwbPwxAh7n326EYqzkcbIkOGpkydHXnUXtBEBREGm4FAzZ3QTV5KSsHhwmPSfbM6UPCU+3cyfx/PC5UT1iEz+5iO8lymxS6TdaiLahrSnpVbwYAnhIAiDC/qDZJ5rQueq9Zd45tDmxmnWI59UIJ0OdhnXJtGrdpmghA13V+/XiTc6QqI+kKcV33dPNHAMAIF2cztxPgB0b+1tD1rcmkHeD7fhAEVX2noihKkqQoiq7rO/HSjWVowzDiOOVcOaXUdd1sNht7g2iaFi/XoJRqmiZJUmxUTSmllMbm0YSQxO8ujiWHM9LzfnOFxhibpplGM/mFARU32z7ZcfV7lsmBgvrxJ6RISEVjieozAHAobFr4+uLEK/mFTa0HprQPlO/MJkkwza9Dy8snf7LNx7h4QAj1NqVDa2u6hcu0Ts3MlN+FwdgjUDVc6M4yGAwGg8FgXADY9PvFwYmpOT6VSdzEiTsVR2y5MI0eI59GrlySqAIoIDMv9jACfiHoaRHGFbRJAe+K4pav7KiqihDa3nOjZihNzHx4JX14m9RXjD0gLLF83uPlZU6MF0YQQACwqG25e4vZZaPzyoUFw/OSQ2Iv4JPwzk0ntqX2IGuE+I1jMmRb3SOR0rYAVeR9rRDTcoZbP9M//9/b/ZdHGn93YPmhgZG/pQALLb+7wB3Yyb3CdV1RFCuXkkVR3C0PljAMs9ksQkjTNEJILLWEYRjrxXGXcvcTWZbjZInx29gdwvd9URQLrIfyyQ0b13UVRSlf+TwTRVGdYC6EPS38+FYJ5cjAf8woCgA0XvNx55X/pqCzpzq+9urs5zhcLsoeAXR5j04Or7YMvjlX2NLR559UROSU2ktDaz6VRFQ4P90Or07NX93SWmkyibnTL7f4z/DghSA6KLMm39jZ3VfhvucBhFBPWh9fy/KaAQC2mt7Y2EilUhe6X4zLi49+9KM33phg/l6K/WkixGAwGAwGg7GnMAH6IuDEyBjf2LZ37WN+fwWR7TdEXMUqb41MEbXDtu1cSYswHr+QyUIoN+x8zXi+iSfHcdBYXVLK6kCo8DEJc878NI98ADjp36Lj9Q7+ZKm9B8MfjI6/u6tncA97eFmBSkaVU1T4NItDv0kVufYuCIP8AQkAqqq6rhvHosYCtKqqBXUuDWp2vDVNs1FtbMs+u8L3dKz9xGr9zK7bZFNKs6Y50vrpvoVvDrq/eKX5E/2rP1LD1daFn8ip65aa3lJwxNhJmVJaod6a6GKRyK4nn4wTMObeYowTBxjP83Ge1fxC3/d931cUxXESpFVFUWKXj7hBx3F2nr9xF0EICTSL0NnJg4X6D3Wc6SFCSLzyP5Fjn8fo7GXsUj2FFippvJs+d/xkuu/gNbmSxfQHOte/XVyTUoQQ5VA0HN56iH+yqJPQsfEdv/lzlUhgwclv9KDVWCkXwFMgm3EnyEk0gu86MHhtJd0+D2CMezPG8MS03NqJEJqPOC0Mmb8B43xy9dVXX3311Re6FwwGg8FgMBj7GjYDv99ZW1/He6k+AwDCeNKlE3Y0Mj7B8qIUk40aKq/cAc+n0LSha7kwvXl0ffyiG57alQXjuZDVLflgj+NoEEKx3WoMFcTG4Ogw965h4YNY6/Klvmn8+tL7wkD00Pzk8T3t4eWDnPdFlEddm21Lp3hJAYBgdT5fhzUMw7ZtjHEcOmqaJiHEdd0aMsXtkPOQD21HccR8MwA0cLPj8hsG579eoJPuFqZpjjZ/IsDaVdl/1zKc1XwowEr9xkutk9+p0yTDMERR5HneMAyEUMP0Q+LGKbGCYVCVpszz/J6qdXH+wNhbI9/PJE4qaNu2pmnx1vhFqVMtiiIhJB6uOTnbcZw4aeQFh+d5VVUDlGrmJuOS48Ht1BwvqLPZ9ce5n1lKAUM4pbzLQRX9ylyBfjozcSr3tqm5bYzcUlwNnRG4D/FPDksfKq7AoWh95KfbHm51eUFHq8XlGNEh+ph06m9mTj21T/5mQAgN9XSFC1OUUoS5U4ur+6RjDAaDwWAwGAwGI4YJ0PuaMAyXYPftRxNBGIut3aNzSwvLKxNzC8ura94OzEAvJbLKzVXVb6Mv9JKfxCKRZVkS3cxtaibP77w/GONYg8YYAy5pYkAqU/eI76nWauiUjH5FmMstmZckCYx0GqY7yVOt0dO9/veVYNTG2yRXPBD8JNzVNG6XLbqmwXaKKvbdTGimu/sBgPiuPzdubp4dgRzHxSngwjDMt2gghMTJ987nuuDzEKIYhmHNn8i27SXlphDEHvocBdS+8fM9chy2bXu08fdNsZsC6LCCGhuyYpvhz/SPfvHA6JcHZ77VvfmbjolvtZ/+Z17TRGpuK0DHgmzlIdtxzb3+OkzTNE3T8zxJkmKhWVVVjuN0XUcIxVvjGRHLshLDnwVByCUwzGefSI3xNRVRtBJ1AMBK1H6F8tsO9Nza6jnJWtOZhln5zvj1aHQDAQwACl0pbjCRXvcH+S5P7QfvWCPlpqgHvfsTy9vgqJt0kvOJ3AT1OZ8+eBKd+rJb+ufjPNN3oLs+MInv8apx9NTohe4Og8FgMBgMBoPBOAsToPc1wyub21cCiNxtHiMrR8w0eXoGpZtttX6BCDPzFS0NvrRpaB9ajjqr2oUHrxGfRgjxPL+KD8WFHtTNRNeU37ESTNOUZVnXdZ7nA0De8py3Mu8tz3sr897Kgr+64K8sSJtLXTIKN9fKtEMCH9YXDxhSJp3mFbVkNUHKSXiiJMHcqwFIElkzyAyPwqx0dV/40LZ93lyZqvZjMopBCMklrJxj6qzltoa0km6K34Yr8/l2DaIoqqoqCIJ2Ljn9zjRNSZL2IudeMbE18F4fhVJaSbxwIoSQZeFQPNnzmnq34Y4ZnLMXltmUUo7j55vuHq77+JT2uwJ4Rn3o8BkAEIjDEVvPHl9SX6cYaDHzVizVpRd/WUYs5jjOtu1qQ7/DMDw/3zsAeJ4XC82maQZBkM1mbds2DGPbGHzbthO/zSiK9kNSL47jRFHkwUvjOQAwyZZvuDh/f4FE3nnwDWvQBQAD/AsBlfQo+fYY0oQJD4RAnv1O3lskD30kSxPyDW6LM/lo+QoUb3/tSMhOTf3D+lqlAvpek6qrO2BI0eqi1Nw+Mnb6QneHwWAwGAwGg8FgbME88vYvx8enuPqKnio5+awJJglDvHuBbFF9czabVRTlcrZTRAgZAx8cnxruCX9c+V4eSlNKJUkCZyyOYl+BIUEQdu4BDQBxeGCdrgwECdFtk8GVLUNvA4C+5ozv++PjY23oKI8CCogCdmmdi+rUhivT6XowWgBgfGWd0+tLHQvXNyqeHaveNNVYP/dbnVvFiFIKp4Nr++GBFXxlEzlavsPB5mlo3Ud5qy5ehloyr2yEkCS3qRsLRmdP7i2NwoJwUUmSTNMsHy7qOA7HcZqm7XViN0rpeUhCCDtLdeg4zun63xtY+3YzHQUABETTtF03gwaAIAhQaCNRt1AGADahGWcILK66fHpev07h7APkyLTyxjAMLbGdw3ab++p6/Y1hFFFKi28p5dXYUvbKQRAYhpHNlpvh2HV839d1PZahRVHEuFymVoRQ4ujFGO+HIOgoirLZrK53bAYd9TBVL64CAKFIxZvTp57sOnh7riYhRKTZ2FjZwGtG8FRigxxKXjiiobWZpbnGpq3AZ4wx7v+4P/rl4nyD5WlFw1YQ8KXj+iWlHiob7M2L/zTl3tvS1l1VB/YIhFBve4vneZMRXVhYaGlpudA9YjAYDAaDwWAwGEyA3q+EYUg4vgbhZBxal4AAACAASURBVBfV55g1QV8LKLHdVhFkWd7dxi8iMv4zlS8YsKDVJGkAO4qiDLccF7bD87OhFyq9iepPtaiq2kuSBfHG/rcQQqYmRhrIq3Vo4SqhQJWYA4Bw7aWw/k8QQnPzC1x9c/ljIYQUReF4IfRcDW9gRClglyq94ssWqbf4Nor45uilMi104SMueQtL+75zREFo8ZcXpPQ5hRuLmZY2zujJLwyXZ4Mi55NKdLooiizLqjyFXc2cn6PscNQ5XuTjuiYyQoDrXv7uRMMHZDm1K9NI+biuq+t1hBDf9x2uMRUtTqPDenpOBtoNr3AkBABHHXBMk9P1XvRyuOo0Lj9BASgS1jI3EyRs1F8PCMUtYIwFQYg/ePw/IQQhhBCS/CXFG1tWriy+C8XZ/87D3EMB8eRWfNxYjI7NwRFChJB8o3BRFBPV9v1zYxEEASFkR1o9BzpepYCm8Fu6yeMd8OTmxlV1qRQhZPTkK03B8ym0vm1rZaYR9JWfQtMf5N7yPL9Qd09X9jvFNQMqCaWF6c212UzzgVJb6+oz0SLHoe3dnBCCrux3psj7Wzr6t618fpAkabCr/Twss2AwGAwGg8FgMBiVwATo/QilNAzD/qY0AIyOncaZlvwY51oaDEO0E2EaISxKi5TC1HRXZ8d+WOx8nllanOvEy8XlFBCCQkWPAsxyt9lnAgmz4lWNZCZ+3Y6Omnhg5/1BCGXQBEcTHq3HguvdkWOvE38xBOUsdngUbox8dzVqH5SfP7b+YbG+qVRNSinVM7y5Sps60pM/0vhNABjj76bAUcADwYNWMGULXbSsXIIQbI7+MDXw3stw8Ow6Xe1t4cTkitYECHGu2aCpQmeChETPjSTleb4SLUaSpJzTsa7rnucVq9gXFzuMjQ2CYDz1/qG1/7GmHEg7Yz0r3zvZ8und6ls+pmkahhGGoSkeQJHd7J+wUUajqxyEADCa+WjWNGNz51XUpynTgYuEyEI0aFh5EgCaln8ZtxNy2kz6DT3BM2WOtSkfdEtEE4dhyHHcecgPmQ/P8/E8RMFsRJx9MReU7bpusT5OKd0/Q5Tn+Rb3FyKyKAUEdBi91zRN33jfIHlQHP/vFDkIIP4BoBRcnFZoOZekMqTwohkE+abkzW3d2c1GAxX+TgnIozRxyQQAgLU2U0aARggtcYdbyZFKuoQAuq0HFtf/MFWfqaT++YHned/3a/bhYTAYDAaDwWAwGLvFfokbYuSTnxysv6+3t16l0Y6ieHakPp9tBUFTx/iGsx8WO59nlM3fJJYXq89wRoeNo8U5jushj5yzFaGdPwwbmtJMX07c1Ce8+DrxF5U00sDP6HgVAK50/9WbOlZcwVuej+bG0eo8plFU18hP/rqNHwGABThMkARAB8MHjnh3KpztR7yLytnFjATXt4iT0sQXVxZnKukbozy9B7qvS4tpd721qUlQteIKxLXz5WZZlgVBqOTKpZSaeWCMFWVHs1/lcRxHVdXz5j5cG7Ztb4oDGTI9rtwOAHXuyB7No7iuaxjGHOmTgw0ePI2uBlgHgGXlGtsHACCEWJa1nrlDIeuiSAK1wdR7TqffFuCz3xEfWTjYZo1F/8q3+8gLiYHDvu/v6TeeSKmRGYaFNjL7+dfHMAyO4+rwsoydZdKN0dYMUBAEEQgUsE9lAPCQMSneFYJk4q5KmqU0ebCtTTxbUBJ13Zt4enYyWlN9d1V1yhsW/pmQ8zp7sS0FcfQMBoPBYDAYDAbjgsAE6H0HIaTgGTsIAsTtl1h1TlYmTH99ffvlw5cMYRg2cNXJpl3RzzW8Ees7I/i9PpxN8TcQPSCU9tysBEEQSplvVAs6I5EcFn7OT/2anhshKzW2cm09tL5ZXX7y0MpX+/gX4vIWeBUoRUAjyrXzw3Vkoo/+fJp/MwVkorbio8yHvf3yKwCAELTZ31tfXdyVzl/mmJalNiWcbQAgjuUuzebMCmLvhdjcedtmoyjKr+Z5XmzLsCt9Tjycbdue56mqun+MFAoghExLt2aFnh7yrIUb2jZ+US9Hqloyb2fNBEEQ+1G8pr5/QXvjqPH+8cy9w41/uKreEAf5ep4nSZJpWWNtn6IAIrWNaKHP/Y0gwUT6LgJbX5wSJCzXKCDlDmvqltCsKIp+BlmWz79aZ1mWoigFAwAhpGlarjPxsCzlAR1nfL2wga5BELQEvwWA8fDqRmk2v9yD1BQ9LCIXAGaFN8rRioC8puiVSppFKFkA7iRPFXxTiqpOopuT+0aT53i64MXymj7GeFh4V+ImmxrFhRwiS6d+VqbBC0IQBPt56oLBYDAYDAaDwbgc2KcP/JctlNL88Odc4a40Hli7k10KC+KGVLe8vF+y3u81jlO1I6oMGwfgCVVVTdMExIlg5zYhgBZ6ZCdamyRJ8ar8nZMfwd0rvNS/9FV5+ufeyry3Mu+tLHjL8/7ieP3MD9N4xqfyfHg2iyCGgFISgtjET65HLTx4sv1qBCIHhWajHlUapMVcCB5C0LR5//5ZMn/xYol6Yjnx3WBtMac+C4KgaVps+Fth3G5BtVgj1vXkw+0Wtm3vhaQLAGWS2lWO67rz+hsRAC9ELjJ6l/4NWbN7octTSi3LEtT0MurY8PlsNhuHosdbFUXxfZ9SuumEp9o/O9303ln1ZgBAAD3uk6Aok6k3AoAcrFZyrN7l+wzD0DSN53nbtuMDOY6zKyb11eJ5XsEEiSAItm3nvj5VVWVZTvw19H0/1s0vrADN83wKpgEgxa8gOHtvjaLIQq2D8ks+lQCgx/9xecf8CkEAc6dfhjN/NsRnpnXoTTatK65cygZaQs7U8EtLC3Nl/HkO9F3h0YSgeBUl/0XRjV/Zh87LxX9ZMRgMBoPBYDAYjPPJfomrZcQULDeOEQSBWOHOswsK6paERCnd4RJyhJCp1GUI2bdBi7sIiWpUSzvJr0+i6z3PC3hFgLOajgFToni4tjxmCKE2+nxt/UloDc7R5jhEuvhjXcE5dhwur8z7vSLYa6StlR+zSJ2GN1v9JyggCTsAsCTfEYWvNAvTPHg8LRzAG9DajKbySzAiq5PPtPTfvluf4jJkfGJSakt2biWOadtnJzwEQcjJl5Vc9ZTS4kDp2JdD1/V8QXDXoZRqmlbsugAAkiRFUVSbqrVbWpgYbTpQt1x3R8OBa+nz/+eQ9fBR7sOiKO26sEUptW1bFMV4nqZAco2DXmOd2oI6Tk6vG9e0m0/VW8c4iA74z3lq4yY+YMDJbQ/EU3dw8evj0u1B6tDefa0VQghRVTU3NaXruuM4PM8LgsBxXDabdRyHEJLYzzAM4285Pm8VfiOohAt2bRiGofmnACCkfD2/QAFNeofgTNbedRhogleJINPQ20X3lo7ot+bJkQyajI/jUWUDH0Btv6/M/2OFR4mA75+/D80DBTDF9mzfRxqbW4urOV2flKa/XHnHFkae6jj0xsrrnwcopeTy+IuFcR4ghHz2s5/t7Oz8q7/6q7jEdV3f91VV5Xc7EziDwWAwGAzGJQP7W3wfUWrhM0JIdXbD8uKM/FSoQ9X0EI45fn65oji7ix2Eanyc4MEFAEkU8tVnAOAgrPkRRVVVnU5tX68yci6l+azBwCi6exjdM4LePYzeO4HfvhE1tkkTFNAabV+JOgFAw+s63kqf1eP9YA16pvi7AIBQbJJUrqlTwc3NQkJv27hXd+sjXJ4IzR2lNkVWNiercRwXi7lx9GgumVsZykhypmlKkhSbm+86sbptWVZsx5EfcK3rehAEGOPaorB3y1DCxSnllj/vft3tmqbPKzcggKs3/3WHdjqliKKIEFIcz1v87URR5LrunPGGgNuKe5Wo1R4dHRHuqOS2TgEObD7eN/P1/HO7R1/xtjiOk+uG4ziiKEqShDH2fR8hFIbhtl7h8UmrZJwIgiDLcm0jqjjyXRCEFu+JJnocADgIAQECKmOLp1urZyJCAEDGzibXXsMRSyEjuwFN5n7OJeQ00xON8/8Y0kqH5bh7ON4dARj+bPuJL5An/5/iFSqKqi02f6ryjvWiQn/q/QALgmbsIt/4xjceeOCB3Nt/+Id/uPXWW595plz2VwaDwWAwGIzLHCZA7xcopWV8CZqbmhoiO1hbJmFAAj+0zdpU42RqjYZ2SyRHusSQFbW2ky2A1aqsDpLvF29qpK/WEIqFEDLQ/C6edEzPDjkPjFPonteid015A7ZHHNfdNJ2saVmWxUvGMH7voHKkjlumiI8od9y77Zh3OwBQirK0YYD+lCebw8IH54TXa3gjbnAjahhSXkw8roD8Cx5xefHiui4uYQpPXDs/fDgOHI5l6Aoj7imlZUam4zhRtMv2x7GybJpmTl2N7SB0Xdc0Ld5ECPF93zRNTdOqTZEXRdGuhKTZtj02NhaP2/abP2LhBgAYWPzmHqXs8zwvNkHOuTOX8ZdwHOd060cjtFUBAQxYP498sombtzsOQkA54g1Nfzkjh4auZ+QLFiUaRVFuDBBCeJ53HAch5Hmepmkcx1UiIMZGIsXnKs7+Kopi7Doiy7LjOHHN+CRX3s/YbxoAZFk2DF3XdUP0dLQkIB8AEILloAsAWoTJPngsbhkhFFABAFLc8gIaKJVXcFdAAAKqaNVORLme9ccKCuVoQ3v6f5saOVpQnqpvmNDvrfSXENGdRJfH0cp74dqcuMiMwaiZ3ChdXFw8fvy4ZVXt2MZgMBgMBoNx+cAE6P3Cto/Wmqb1tzX16GKPIfVljPrQgtUF4u/201Q1siCS98Szdb8hiuICOVjDjghoGyTbZdTRiRpEMVmW20jV8TURLXmZ1/FbMexL9OBo9CbTNDmO6xBORVEoy3IuUt7zPMdxxtFdY9x7fGWIcsIV6jP98hEAWIq6Mtw8APSQxz3Po5TfwP0j/D0EsCGVjLcNqBiGzAa6RhZL2K9TSsP1pXzHiVzetqqknPL6YxAErusaRkL+sRpQFEUUxZxJSD6maVqWVaCbW5YVx8lWklAxx64I0JTS9fX1U6dOxWdYuPm/AgBH/R3aGZXB8zzLsswz+L7v+36pKGDTNE80fcLnzvr/8hAa7vS4cGuZQ6xyPXnvqGBPeZyRb+ECFVuH75A4VWYuG6GqqltTHZQahmHbNsa48tDsAgE6VvCjKBIEIbbyyK0G8H2/Ws3Itm1FEgzDoCQc9L87FHy3J/wpzrMzisjZMzZAH4o16Jwo3CJMLuK+gJazq16gQxatr6pXNTDtDWFI/sXvn/3m/MmnCwpb27sntQ9Wci9BteaucBx77fiD8sm/Vk79jXTyrzeP3788c2IXs2JSSs9/jk3GJYmiKPFMyYXuCIPBYDAYDMZFAxOg9wX5kV8VUmcY3e2tPXVyJrRUa7Xez0ZrizvqhO/C+hIsz1QeW81Jsn0h0lWdf1J9v7MRNe5igybqqiERH8/z+WkDy0DyRGcuyWcDAELK8ygEgE3oXudeJ/K4QXXUcFyD+WuVx4IgiAMD43DXKIosy4qVmjH8TgAQkQMABl4BAErRuH9lGz/WGf2qnoym/ectSAeQHFQ473dTisSZb+Y/uWU311eX51YXTq+uLLEnum1QE5KMAUC4MGXlKbk8z8fTWtXeW7YVHGP9budpCXVd932/fGh2GIbF0aymacZx0xVqozzPy5VhGEb5ClEUjY2NBUEgSXIIIgBgev70LN/3yyjvvu8TdI73AgLosZ6Y5K8vtYtLzk4ipjdfcqT2AjU2Ps/nwdWUUqrruqIoHMdpmoYx5jgOKGncfLrePAIAsixXFZpdMEuRzWYVRbEsKwzD4iyLruvmD7MyB4rD0l0/9H3/CvTjxDqt3JhDtmw6MEQD9CGMIARxyhuKCxv4udlgcCZKntekgMSut3JDfzQHV1TwQWskpEL7+pNlKnQvfG/p2M8L7h6tHb3zDX9QXj0HAEq3mcdKxHWc1MQXW9Gp+C0CaEKnO7I/UIa/sDT222pbKwVLgcvYFfr6+mZmZp599lk2pcFgMBgMBoNRISxXxr5gJ09EcWwXANTV1Z3ecDipFvtOGoZgZ5GRARoBQmCuAyDQU9vuGAQB7M0K9H0Fxlge+Nj80hTeeEmgtobXRFxj7Pk0vr2T/IZAjfmvIhA42H60FJs7U4B1NKDTWRO119NRBNSnCg8mAEQg1pGxZjhqQcMUvjWIZPAtFcZVarYIExvowIJ+XbxyOQiCWHmcQa/vgKfHw6t7+FcAACHaIx6LIg4QBCAjROeFtwDAID3HfoRSmPCu6JGPx29fPT1SlzY82zlAH2/EZ1YAhHBs7n1CqpHYmx31RhnbgcsWnOg7TCkh58xjybKciyzGGFcu61eo6saGGJ7n1ZDlLw5xTQx8LkYQhOIFIkEQBEGgqiqltFhPLIBSWqEDSSXVPM/zf/N57M1Npd7a6z+V8kdN6Kyk8V2hzI+FoijyekJ0fLf929Ndn9H0FCDsT/6m038uLh8Vbu83f56rlrJPYOJNp9+efz45juOCdVlOeZ63p8pdfKVzHBcPPyN7lEMkbb7IUx8A1lqvjkPvK2wtHlqxf4umabZtx68Nw3Acp3jEhmGIEDIMIwiCMAwVRQmCwPd9jHGucmwbDQBitDaAf7YetWDu7OW2GTW4OCVjk0eBHRkbflO8RgS2NOgfAqVd0ikKMGEf6vRfPADPQQibqMUUW9u54Vw7hOLFpk+kVR0AMkPvml+9xVj6voZ2IwnEucx4/d0wXb5Ox8pP5o5kM9e8N/+ekGlsjhr+8/zIL7tKp8Ndox2FPtkVsDnxy8S/ORBAp/8r9/jza80fyjRs6yqzPb7vs18Wxk5ACN1www1Hjx697bbbMMaGYcR3p/e9730VJgZYXl5m6QoZDAaDwWBcbrC/fi48u/lU77tQkwCNeB7qmwAAgAMAsLPA8SCrwG/zl7QXVK09XbzUZdpXNiczeDIOHK6NwLNAAIPOiuLBmnIiVSdbr6ArsqgrBMUPied5GA9IkrTMXT0YPZCLkk7DSPxCRtk6vNyMXuJ5Pyc4pGBCJ9ORKJ3w3ogQopSapgl6yzR6Q4/0JKW8SVKz/sCQ8AyHIgpoir+zIXz+QPSTk85Nr8Jth7Wn4nbMMMWhMKc+W5HR1N4IACQMxODseSAUiZlmhDGuy8xHlJ+da29vq/4sXcqgpKuSAsSPwWdLKM1lS6tqpFVuuWBZlizLPM9XrgzCmRx3FarP5ftj2zZCSNf18vLo7ppIUEqn2z80ePrvD2w87mrNLRtPLKb/4LyFVXIcV+pYXOmYU1WvS6UbAICm3nX6mNzr/npcuLUvT32OMdzTB1Z/PJG5O6dBB0GAeIQQ2tMPqOt6z9y/iNFGgFUEdFi7q9V5Kr9CxnppTb+eUlqVh69pmrIs518IcRx04pQJpTTeKgh8u/eYjKxx9W6dTC1AW5wLsSV41vAmI+AxIgggzS3k9l0Ie5uk6Tq0ZX+v4myjMJvfOAIKCCa9K1qdl3vgbDBvHV2o8xbWcTsVpTReWGj8g7r6xnTe95jONNH0H82vzGnLDxtn8r4CwCS5ugFNaWgNKmM0uvkAfok/YwMSUa6jbPhzjrbN38y+HDVe94FzPg5CzYNvWbNuJNMPN6DJgl18KilDv19hx/LphELj6XxkZLUu/fPc8jUNB99RQ+P5xAbT58dbhnFJghD6i7/4i2eeeeb48eOEkI2NrWu/wL+IwWAwGAwGg5EPE6AvMLvrSJiRuI1daai5i/oOWp0HAGjqLJOlkL9A6arOP+Ojxw/iR9Udf9xe4SUAGOfe4dslLZJLQQjhoJz2HVGOQ1vDKQJ+jHtPNpsFoABbD0VRFNm23azbkGTNwYPbQZ+Gom8bo2g9MFS0ZuH6eLiapmmCYqrv0fB6F3rioPL8stdpylcFSGsPfx0CErF3lfabXAuv2rcdVs9RlJZTvxNPldBzj7catKEzgwohFGVaZ2bnOpgGfQZCSGIGQhoGhJDznwHJdV1BEDiOq/A+ZhiGZVlVuayYpqmqaqkH+3hGhOd5wzByxr57je/7q/o1GfPIIj/Y7b+gSPx5E6BLqWaapg3MfKXkbmfmrRBC7Yfftrh+Y8+xzydWVL3pA6s/mm56bzxDYBhG1+w/bciDjnJjDaHulSNGGwAgEBsADmUfgnNjAxuzz63p19eQQS72K89ms/nnLR6uiqIUxM7H8zeu6y6GXb3iUdEdlnmTkBaMcZ//AAcRIOCTFqA4YGC0/dRgm/OSAO46aqunc/nl9WQWXBgW3tydSQjvRQilG9uh8Y/iDx8rpy0ASxNHNO+nlZwEAOjjnnP6/3R+ZdFenezBz04Hh3rh0Qr3bc8+fepkf8/BawvKVc2Ag/d6ABNjJ1R/vA5mLWiw1as7u3tr+53c1mAKAbTTI8sn1vWD9+5QPvY8r3JLcQajmP7+/hdffPFb3/rWgw8+GKeonZ6ePnz4cCaTudBdYzAYDAaDwdinMAH6ArO7OdlTdXXL4+N8S/fOQ3sQJ0a8yIU+OBaoJc1eeb6KVGAXKZTS9ZEfHeRHd6vBUf/GUNgTKSenPgPAFHdnoh5nGEZH9DMAEJFNoVht3oJS2IiaQhAz3CxGNMMvTNhXKYrIc4hQFAudnudhJXMK3TNAH/Kx2hP+JKLcUthjgy5hhwIs++02SfXJrxSoz3NBv6xuPfyTc1WteeHmQlXAHF4YOd7U9+YaTEUvOuIZKYRQKatfjHEjSgpnFsHBp6nas/MIrGo9uIMgiP0Ntq2p63ptGvG2KQfDMMxms7Ff+XmIQfN9HzgBALjQBYDe+W+Ntn6y8pjunZB4KmJ/ZIIkjib8oFAAve6cjHap+vRk8we7F7+beAjVmxma/vJ460e40Oya+hYANFivrKRv37sPaFnWbPqt7WtbEdkIYFK4vjt4Mb9O3/w/jbZ80rbtqsZnLmA8507jOI4gCIqimKZZOG4pjfxsb/CkjlZdmu7ijgEFXb0hjCIPUiqsljxK2XnBmDHzij54GgBWU2+sW38AFwnZg8Ev7egNXNL0Uj65H3etaRCmKxWgEdD1kUebDr4Tmtso3CJNDyd+GgIIJ6nAQwvfnjbSze0HEhs/0HcI4BAASAA70d4cqito+zHWCBOzJ3+UOfiuHf6dE0VRVblMGYwCZFn+zGc+8+lPf5pS+ud//ud/8zd/84UvfOFtb3tbJfuyAHwGg8FgMBiXIZe+oLOf2Ytka/09PS3I59YWyOYqbKzQzdXQyobmRrhR8uE5GY7jMi1gpKG0Sx2lxNhxIrJ9DqV0c+QHrbunPlOAQOzY1rU2Ed/3PTDKVMg5AFMAN0rw5k7pEoIwDjTjULQYFAoKq2HLpDMY+RSFQT2dbaTjNIjm/QMIwfXaz9rI043klZyUE0WRaZqmaQ7DuxqF+RH3WuzbreQ1RIiMbQXbXfLIQfUFARdKLY5x9dk+h2cls4hycuM5wc5hdq1PPtItHvPH76f0Uk5OuLmxujr6sDT9ZW3+a+rcV+nEPy1OvBBFURAEBXbhRhKSJDVxxyVuFya0anAnj7U8pawdvKZpNSuYpmmWbzzGtu3Y7bfAW3MvHvUtbQAABGJTAA4CZM3vPCtjJRR/Fp7nU+EMoiFA8gVi8a3FZqMtgzetyslJ8GJ65u/rWv5hmePuIqIoNm0+k1/S5Txr43R+iY/U+qXHNU2TJKnCZuOUkoIgFHQ+CIJ4KIZhGE9axFCAQ8FDOloFgLHgurjwQPAIx3EL3E3lrorS5yak/Lh1cGGzuS98Oi7pXn9wSb0xsfLa8R9V8rliVFV1aMLPQal+tqNjrrM1N9PQMeByCX7LiepzTNvoV4OgBs+oKlhCQxXWbIfXZk/+eoeHY9kIGbsCQgifIf91eZgAzWAwGAwG4zKERUBfSGqyAN5ic2MtXD1ueMdEamOIVlE3antrXSoNALIsd7S1FtSPomim2qctEtHN1TAMhY6+xO3h5jpSGmrp/cWDPfrvzfzs9vWqobb0gwAQBMG09KZ+UlKkyD3RbKA+zy3UIgVB6CS/kuBsCGpAzko5EeXmvJ5O7kTm3LsCRlErjFAqIAQ8z8/h6yCKdF1HCBFCEEI88nU6vuS2NQrLY9KHMPWos7AA1yCgGMIGOIHO1cVsoqvGWdEHiA9notCmvXMUMUppj/VAPE2W4pfGR59sG7ij/Cm6GCGEbI7/uEWchDxhTeacLvgtzG3ZxW6G6U3p5qa2gcTd58dfbiFPUEAhFQFqmdsoaLCGvUzTFATBMAzP84rvbKqq1jbpEsNxXOWLRWJHDl3XLcuKzX/3Yqov5HUAaHJeG0/d2es/PZj9YWiK043vX/f4vThcjCRJxXcPjHH70k/K2Bdk665KjEtVr/9k9tn/ZoTzu9rH6pAkKYoihfOF6JzJCQRgoYwKZz2O57lDPdavM1Njp7s+LQjCtpMZoijmhmIpCxfXdTmOE0XR931VVdvdJ+LyCPAh4SkAIMDN8rcDQMjVnUIfEJ3hXuGV4nZQaf8Nh+g9wTnaOg9+i/20A3UKbBZU7giPmMHdFSYxA4Bsy4eUxW8UdqZ0/fWZV1oHbgUAhNBq38fbhr9U4YEAgKOB+/L/FG76w8p3qRal9XqYf3H7egAA0AdPn57qau/q3ckRWTZCxm7x+c9//vOfT/Y1YjAYDAaDwWDEsAjoC0bN0TebG+vu8f/RNPePbd6vdVgVkcujoBlGG+f+cWm2ZKAuxrha3ZOuLpim6XkemOuJFTLSJb58dWrkxQy3y+ozqsBPoAwEVfS0PE+vKvDkRQjJspyvPgNAmps77V01H/RM+QejADq5E/lbKcCY+J4QVABwiQoAGswPkAcPoR8O0e8PkgcPwg+G6Pf7yMPN9EhreGxJviUgeN0Gm+9c9NqmzaZpu+MUfdcc3JDf7Ay6OT/2B8t1udeWdji/ZjT5nIzPqpY94ss1a/f7Fsvc5Ke/3iIWJvIqoI5f64we9cfvy/9aKaWTw89HY19qo7/EiBDgKezCJRnPK9SwYxAE2Wy2WD5TllsTbQAAIABJREFUVdXzvJ3IshjjqnYPw9A0TUmSEEKmae6FNXbEbU2i9Gw8Piy/BQAQJZ1LD1QSqV0DiqLoup4L3S2A4HK3Bb8uOdIZISTc/LlVMXl+sQDVGa+kWlXwPC+K4tDGQ32z3yze2uSdXOG35MVT8p091q8BgCNu79TXm5cfKxNvrmlanHswNxGCMdZ1vTh02jAMVVXjahhjPZqOy1dwH0YEADZw34YnZrPZbDZr2zYnl3CYKH1bWgsSbJ0BAKNkz/T1kcdLtlVEqj4zQ66ovH4mei33uqGtZ1VKmNCC0p+mwTm+urDNnWonGKmMQ7XK6x+wvrfDyZ44G+FOWmAwGAwGg8FgMBgVwgToC0ZtuQcXT/ysae5rKbRQvAkBtG08UOppCiEU2VWuf49CTdO0uhTo9QkbHTNdn1B+yeC6bj9+oqpd1sKWSqo10ldrTn9UydPyMH5vcbgfx3E6mcovcYjOibRXO96qTJtRSkRuXE4AD0sfAgAE0Of/UAB7lbRv+A0j7nVT3qGloMuKzq77tom2YLcHVsShaNC8j8NAKSWExMM7Totnoq5hdM+Z/oPWeE54Pi+dPRVi/dmAen996ZDybMGnGBs5AZcQvu+n1u4rtigphcGvoelvxbngThx7noz+fRd+gkdb/rMEuF1JExdnOat593hfSZJ0XTcMQxRF27Z3mGq1tv64rrt3wciu52+I3abQAgADaw+fUt6GIeTB71v69u5q0Lqux/HjpmkmfpwgCDbV15VpQShto4QQUm/8zLK8vYjZvvJInKNvF5EkqX/6a3KwVKoCigIAGFbuHNx8JFfIEcdwTyOESp1nSqnruvlTvLFTUGKsa+5WmX9rbTgz77iIr85dU5IkdUe/TO5n6eEZBIUn3xK6htOfkGjypEi790xVkmhm6J2VVzbQSn7j6o2fjlBCtHWZi6351D/s3TWFEFpteF/iplejtxQXYoiyww/t8KA7WYjGYCQSBMHc3Nxrr732wgsvvPDCC8eOHZudnWWWLwwGg8FgMBhMgL4w1PDM47kuPvF3XfBCmTocImUeDjM8rS7YB3O4pRs1thdvoZSm8aVsyAsAMP29qlSvCXxnmk+YGCgmQ4cH8OOGUYtjbBAEFjSTokBXAjgCPgsdp/D7smah+izLsiRJreS5XAmlSBCIjLdE5wbpbM8xkEHv/tzb+ag/Tadb8cgA+m03HGkmI1q4DJ437lxxyrpOdZeaYYRHHgAM6x+Nd5EkKX8cZrPZIAhOwXspwFwwwHHn3HY4ngOAgCoz7tlITErpgPuD4o/fyA1ve4ouFiil3vTDXIlAyFIonD15/HEy8rcH5SfiIM0cAnIlYRei+XYoQLuuG4ceW5aVzWZ3Rd+puT97F94YBMFc63swDT2sUUD9qz+igAEgAFk6M5dTG6Io6meIjbPLpFVUFMVQRVrC/RkAKECmqdzEGELIuOE/LMnlJGwAQDQCuqNZhOLjNm3+FtNyUyaZYHxWONy/8UhBOSY+ABQbW8eU+tIdxykYSNlsFmMcC+tRFPlo655s0a251fwlI8W/rTZJLTb8B3T4/5BaXk9o8hA1aKG8rgYztmWNpX6PJP0BhoEuTLya2FQiGOPV9s/WNswxx21c97+X2jWrDRVvwjSaPvrLWg5WGY3NHTZNMKc+zP0isX4TPbHDyS1Kq/y7iMEoDaX0/vvvv+2222666aYb87jppptuueWWf/mXf7nQHWQwGAwGg8G4kDAB+gIQh4hWtYtjW9rpLwmwvZSzurpcalN9KmW4G5FXqTiCmjpKRXZFS7P1qYSnxEuGwPdTXEJcXpkH1S7yq8rbF8HqiH5TgxeH53ljwY3D6N2b0A0ADqSX0etG8LtPkLtH0LvmuZtdt/D7jdNwGTCbr3ec8G7m8wJvm4SZxMPNRQMtaBghyHKdw8rvTYtvNvFWksCASoPoSQAY1j5ySv3wKe0jajhDAcuynD+8McaiKEZR5DjOPL3OT1/rO4G5ajubru8EURghgE3atUgOr0JfeCZIH8/8VsQJA1XYscHx/mFjfblRTD7t5elVjhbPQMSoqOTlXzk7jHAMw9DzvN3VdDCu8adqT6Ul13Xn2z9AEb8m9WEgp+U7AEAiZmitVmssG3tEqKoqCILv++YZoigqI75jjPuXvjMw+/WMeaRUnUX1ukrk+7ob/mBRvbZ8Hc3dTfsFRVHS2ZfK16EAzfbRxN53zXy7afb7+SkEc3Acl2ijXOxDxXFc7Bsjy7LruuPqeyKQAMALJUoRALRHT6uqihBCCEl53ymheKnpk9rV/7GlrQMAmlraov7PuaTQPoJQ3EzOmTMjwA2nP6FoRpPz/Ih2T+KF3Lb+cFXjVtON+YaPV7JDQPmCwaDrxtzB/5pYWbXHE8/8wMbDrruH9+GN5g9U/uERwPpyLXfRfFgQNGNXWF1dveeee+69997nn39+ZmYml/bAdd3Z2dmXXnrpYx/72Nvf/vb5+Qtpu89gMBgMBoNxAWEC9AWg2oV4jm0bk1+pMFKS58vlL8qk070ppZ2PGonTioNMaNHqo4cix+7r7qx2r4uL9cWRxHJaenUyhurOpApLDYqpKEq10Z1BEFiWtcDdcAq/b9i/ddLq2DRd13Uty8pmzQITBkVRCCEANHQ3CWyNjeWw/QrjnFxPCMF8VJjNaTo82IZOxZ2bF95gms6irY1GN52SP0QB+VSJN2nRLAAADS2uHQAEgY9Xx3foq3W61KuePCz+5KD4a1EUs1ynKIme7W+sb6wur22sbJqrduAFK0FbB/ec1NpLs2vRwjiefKJfLIz0tyJjxh9ISytmtjBz10WKsF7FjEUB005/YrkEyXbtVUEI2YlN+b5iTwVoSummS6YPfFILVwhgLnIAAAEZsH6qclXc5CVJkiQpjnQu+HVwXTdRY43heV6MNsr1EEA//IEKu5G67sMTB/64TIX25YfLdKYqRFGs85L1zXyWpUPLerIsLoVrqWCqIftC8eSE67qJEwBBEMiyHGv9HMdpmoYxVlWV4zjXdTVNc113WHlfFrc3wen5oAcARJo9GD3QriyqqjoYfDfX1GLqfc0t56wNEkVRvuJPlsID+YXTXqHJMgISRZFpmmP45gAp0/rbivspgrsyX53Wn2lsnTU+WObnKWYOXVNc2NjSfroxwfiCo/5S/RsISrgVuK9+t7hwt8g0NE3Id1deH68npIWsihpiAhiMAqIoetOb3vTDH/4wfvupT33qscceO3HixMmTJ3/2s5/9yZ/8SVz+2GOP3XHHHTsM22cwGAwGg8G4SGEC9Pmm2kcdQog88U9cxeJmKrW9LzPP86qqxgu9Ka3uuYv4Xnddjf7FFxGqm7wIGqPd1LM6yW8Ooh/1qiP1Rrlpg0SyWdM0C+VmANDyMAwjiiJRFNN0uFs+yWN/PWoa9a9tkBOCu12czn87GlzfiY/n3g6634k9AepkioBSwC3c6XhTh/vLfueBIfv+Ieu+Ies+bI0BQCM32gIvDcDDKZgEABFZV3A/qmuo43gsqWKmKd3Qkkk1GKlmAyjiU12TyvsbZr4XWSsCMXnwNulZcYdSmPSuUASnQzkNAP5qyWDPi4goDDNCRYYtifgk2f02gCpSeJXhkhGg91pXijPdTXd/lEvXtXIjAIAhwhC1L/+gTJa8Aniez8XKFROGYbHGqmlaRok6nOcSd8kxUvfOUj4VibR29mzc8H/NqjeVqiCgXTAZB4B6utS+UmisUQAFEF53b/raDy2o15Wq07jxTLEmHoZh4qxePBuhqqppmjzPB0EQBIFt25IkYYwty5Jl2bbtOeXNFKANTq74bRFwCKAleuFg+L1cO5ukubUrIa8jQqjpyntn8B3xWwKoxT1WWAe2/G2iKPI8LxAaClsBAIDU4o9LfeRSNLb1rrZ9xqTpUhUIoPSBNyRuaj14a+IPW2bjOZzku9JkH9kVu/lStPUcnoarKqzsRfzK0k5DSlkQNGOHfO1rX3v11VcFQfi7v/u7jY2Nb3zjG3fdddfBgweHhobe+ta3fulLX7Is6ytf+YokSSMjI1/4wheY8QuDwWAwGIzLECZAn2+qDX9eO/UTGSVnK0qk2nDaqurTMOxQuEtGnCqDgs5TmC0GUk/HeqJHK5eryhCH8llnCIIgfq5egz4AQABrpLVfO5b/neesS7uVk7bYFP8zxdZ+7vmCxgedf+t3v9frPTTo/jtQ0oAmxuDGeBNPvfjFKL61Xz3aDC83wfGC3ReCA/FgExVBMWRZk0RFBABRFQWZtzc2GoR5XlINNIuAmmcE6BmvP8BKt3oqJ/3XoYmdn6gLjm1nt69UmkT3WACwaPNOms1Rs+XFHlGzB/ReC9CapnEc54cAADJYo8qbAYACyNQ8sHBffFHzPK/ruiiK6hnyW1AUpYzFMwB4nlessRreJLc+GvnbOCG0DN5c7SeSZaXhug8uHPqzxK09s9/a+f3f0PXOpQSH9wKmWn5PUVUASF33+2Wq6XbhahWMsWmaiXdUQRDis+15Xk5ztG07XolimqZhGK7rjqv3AEADTPgeZ5FzzKZCyktDHys1IBFCnUO3zesfCAlvb3ASJPx283mLmfwIByihnzpdym5WvZpBN+qEg380l/5oQAtnNCPKLTd+QpSkxB05jptpSQ6C9nFC9xDA6snqMvRWS+PB312mB7atNhZcd8B9un3qK/jF/29y9LWdHJEJgoyd8NOf/hRj/M1vfvNzn/tcXV1dcQVVVT/72c9+//vf53n+scceY+ONwWAwGAzGZcj+UhkueaoNf85mN9uhinxEE3BjtUoNrbg/obnRrfGJ3pqXHlwFdtvbMp/6eIWPGBiiQfJgrFLVfLh4OXluaWdsbyoIgm2ZxF4AgFPuDb3qicK9zgi7GBGVM+N/Ope8rp+DMLcXAmjF50g/czDUrxwFgAyeKt53IewrLgQAjBFCqC4c2yBNDXB0DR1SsGmhdgA4Zt3WroyL+JzvgoNLIZW8tZbsW3qavHWcvHHb3SlNEAEpgB/VPn7y2W8CdM3snQDNcZyu65Zl2bbtuu5I/UcBoJ8+PaneAoAAwMNG89oveJ4XBME0Td/37TPwPC/LsqIosf/DtkpEEATxN4IQEkWR4zjZm+tyn2n0t8nJKUk1rlapb2gy+YTUhRz1FSU5+r5CdF0fmP7yttUm9Tc2998Qv8YYT/WW9AbhgsLJwnhWIFGDzmaziUPCsixN0+IKkiRtumhY+wgAKMhUg6VT/k0R3Qokz3Z8Spa3OQNtnQNo6L9oNNmQvcN8LBeW7jjOeP0HE6uRiW0ixEuRaWqPhv7LWscfv0bumiZXjtHXj8nvC4b+NJUpNztV150cZi4QM7G8feXRPVXQEEL6oXtnoVxuzDW3sS94Mn4tgDu48Z3g5S/WbG7geV5tOzIYAPDKK6+0tLS84x3vKF/t9ttv7+/vP3HiBBOgGQwGg8FgXIZcIirDxUK1yzy16f+ZWB5Csgqsd9xYbZfI6vY+AJTSaHG6r7G+5jjEiw5/x1YGk9xd6UzDafL6CusjgCHy4CH+Z4au1yb/EUJ838/FJyqKEkWRIAgD0vMHlWdHveuG9CrMK9bJ9rG0GM4+QUXAt2nlkkFl2ko2GEWRitbWo+ZGYd6xs6vyrZJ3MksyV9Y9UzziLo0xGIbJt4IGdCKkqklbAyoDwAodNGlrcTWDXy0uNElb7OSAMRYE4VK6WncSAb1HKzZkWTbNs9ocRVuSYjd5eUJ+PQBM1b9jKXOnLHJQ1P8wDF3XdRzHdd38RkoRB0FrmtYBE4eXvnHl+v0Zc5v0fQBwuvVjVX2iApY7k82jObqjGSC03XcZYHnhiv+15Zq78yu2dPadzrw7sX7InVWZY4EeKFUVBQBM06xcLs8dLvbiyJrmsPZhChghGIInucA+7V81Tw5mMk2VtMbzfKlMoXK4nD8mvRJ/FTRHJ5defai2GRSEkKrp/Yeuazr0zo6Dt3d0D2x7BcmKGiX9XYEAQpQQN40hWj36UA19qxyEUMOhd48bHya08AdxjbRS20mTQqdsnSwrR/7vpbnx2o7INEFGzczMzMiyXF+/jQmepmmqqs7Pz7PBxmAwLm70VtDbKv23XY4KBoNx+cAE6PNKVX9xOo6toGRtgk8KAl2hXbqRKi4vT09XZ/lehdZmA3F6u7uqbfmixkJtO9l9Cm5p6T4MAB0Dt0zSWyvfkQdvkDx4hfx0g05LydBxfF/ipoLV+oIgCGRdRO64d7hPOzpGfudU+E6LViSgzJByoWcxAZwVJlbEwfKVeSHBi5ZSmp0ZbVu6r55blKj1avQuve9KxX2NyB2EK4peDOtPeG/0yaVgQY5KfLl1aGaAe2STtscmJGk0pqGEKSI7MooLF+jVcVAtxjgIAlEUaw6o33mKJIzxbj1gG4ZRiUpbivOzaMNxXBulV1H3Jmpuh9cCkIZW/zWylyNrsUyMc4XyoqGprQs/Gpr9avP6rwCAJ+UsO2IWlGvb+w5X9REKaG3vTkxq173wb1X5SueITUjS678tX2390H+uzyQ4I/Ml/PcxkPxIZ0mSumbv6567zzC2rpEKEydaliWdcaiwbdswDNOyh7Xf3+C3En72wgv14XglTcX4KOEiBYB56QaxsjHZGb4ovfL/2lbtg78qluuuTyyfbX5PYnnb+hO2VYU/WG20dXQ7g3+6Ct25kvHwqrQ7hiB5PCCAzrl/Xpodq+FYLAiaUTOSJFFKt/3pJIQQQnay1o3BYDD2Bc4SOIuV/ivxk81gMC5DanmMZNRGte7P6/Onts8nmAfqSg4QKw/GOOVvbEoJjnWR59RFXkNDyaRGlzC44SZYrcVQklKYUe5pbuvJlbT03To5IXWTX1XeiASb3eRnhjK0QA75vp97pBEEQZOgjp5aUw9FUZRvHZuTYHJSF6VUEDjqZdflrh7txAnz+k75mU3cTwEvk4MN+FT8AL/qN2fExfyjE4qnnAGBi8bU39O80YiQdvpyYj9NkjFgEQBCEJr4wmC0fJaCjuIQPHvTasw+3sqtxW9bxfEV/kZj5gea7M+Rfp9uyUbZsH6BXkHrB0PXbLSf2STtjdufwv1OqrEHNp4stbUdvxi/WKEHN2lXP360oIJHlHHvGkoBAFEACggAUUHIt5b2PE9RFMMwstmq/aY9z0MI7URBrk2jLEaSpDIJ+iphj+xECpoNw3BSfwfvLRuwXOe/NKe8rnX1qYP2tyeMOzy9vVQjlSAIwoHpbwrh5mj6HQPW45XssqRclbr23p0cFAAQQptiV8ovvK6FMFsQ/V1hax32c2lzm0UYS9LBunRyXj7sJUT9A0C9ecQ0rjAMg1KKadQ38cX4RsOFJgB4nieVMD4uIJ4M0DTNsixKaTabVRTF87wpdJ3L6y3hEQCQIbu8tNDYlGBOUsyU/vah7P3F5aZ2ZS4UCGMsJs3M5cBA6ob/fmPgP2l6wm/07sL3vg2OPFNc3r3w7wR4DAlZB63RX6pX373nHeN5/tCH1x3HmX+JZOd7woROFtA5/8156X9J///svXeQI8d5//10Tw7AArvYnONF3vEYRUpMCgySTCpQVKRp2SpZpmWXf5bs9w9bUrlc/smvbbks+1UqyRaVLJUkBlGREkWKpChSPPKOPF7evdscsAkLYDB5ut8/Zg+LBQZY7N7uJc6nrq4WPT0zPTONwcy3n/4+dVVdqUIopZfS3JGQc8bOnTuPHz8+NDS0ffv2CtUmJydnZmb6+/ur72aU0kwmMz09PTU1tbS05LpuIpEYGBhobQ14rMpDCDl27NiJEycopT09Pbt27QpV75CQkJCQkJDzTihAnzvWG1SYMPdXP2FlCl9epwbHW61JrKZGtu2x+RQXr0cIEdd1UnO1ilQbjyFUVezYpUe0Jj4+t6+dCZ7nTgFGnH3dXPHSUWdPXfcN9SXRbQ0dl+unD8h4HTogAqilJ6NoxBHUcXwTIYTDbit5ViRLAJDwjmZQ+yh3mT+qoShKqR7k649U7kqa5gLZzsrsJGk2csYcihFC5sQejkV9+GcCNgxPEbCOEbUJP2V0teOjnfgQ2vN3AACwY2JsGFLBArROo34XHcNX9qBXKxxOirQXBednJgb72efyk9TTXl0Ns8Dpow3qFKHIdV2dcINwFdTvxLzkTR/tzHyfQ7buiXV4JGteK4oXdxy0KCkQ7LO9inp0NIECBkK4hl6irpxRBACUkpni9IyGYbAsyzCMf/Mp0pQxxuUicDmOM01z7faVgWGYzYolZFl2w5vyXX23iFJ1HjO8grNpcc+M17rX+8nJ+B/0p36c5VrZs/ahJlgEyHQuPVnGe6kY1Pu2TRHRllreXjMS4NfcOfPd4Yb3Vs6dWEhEVSig6GRxYtIiKCB2xz3llor2bJnyucTiM4vqZYSPNcz9Mn/YnZPftFo/ahhG9S4WlmV5nifLsn9orutijC3LWhC31XjjIl0EADTxc6j/o2q21tm7A4JunM3Zx0+zb1ipllkjHyMDrnzqq+Sy/7PVzuyiXPb7Eqg+A0Dz0tMOfeu5UWwlSZK6r4cD/1pl/cbRL5nxT6/3pNm2XeWIRUhIIVdcccXvf//7v/qrv/rhD3+oKErpl4JSahjGJz7xiWQy+Za3vKX6nvniiy/+4z/+Y2n5vn37PvGJTwQmPEwmk3/3d383O7tyz1QU5bOf/WxnZ2c4vhISEhISEhJyHgkF6HPEBqa0M6jaVTRaW9t/63q3XwjP830tjZRSSikSWHR2IXuXBg19N504IW3jf1dUPursre+9sYVhdO8Ni7OjWnqRZZlooiMSjTXhYGcMhBB0/VF6+Hs1zNy62sCCzcLiAHmYAqDVKkqUjsf5zllHYlk20FtcEATTNH2FujT63jAMNhIZInf0sr9AQA1PmTca29hjXcwhv8LE2HBbRzeltGXxW+UGQjBaViXaxROlSynFR43XSTjbI74q1LUVLkqPnxrgnissqWEWAKBJGB3O7aTtb2DmprzGm7zMUmzhqUZ+DAnU8CTP9iJMCgDwxPeh7w/LnLOLA5bl5p3WBFfWNVuntQLK5mhjFE0ErK4UjzaR9FwuaDq867p5Qc0XZAkh+Yx2Z2+14SNJEkLL7r6+rh3YmPXih6NubF2WZU3T3KwDLKV0y5qmocj2uHFEJA4F6ICXKaAW59gie8uG96IoSkw7JNizAMBSa1S+qVN/rvIqOlMXia5r8kxZGls6YCSgXHBTDC4ez6iAYM92zD64ZrWF3f9PRCk23vFxXaeOmx4Ub+/PBKTmi2VfjmWLtV4MHsMwCCGO46ofw3BdN28b7TiOKIr+YMyIfKtsnOiAg3E6rOs5ubxWu9IAjA2ISlCcI1F1JkR1OYScYRjeWnskSqTa9LEf1+66q8qj2BhLi/PljopgDpOAKVwYPNu2NpzrcgNkuLZ6pziVbiAI6OKxnyd2rS9AO3TmDdkYH/3oR7/0pS899thj11577cc//vH3vve9tbW1+aXpdPrhhx/+/Oc///LLLwPAxz/+8fUKwQMDAzfccENdXR3GeH5+/qGHHjp48OCnP/3pf/u3fyuab7SwsPD3f//3s7Oze/bsue222wBg//79Tz311Kc+9anPf/7zha0KCQkJCQkJCTnHhAL0OWK9/hsAgKAq6YRQzGz7k00JashLSCE+XduuMenVI6dOcDRrgyiIamt7dz4lHMMw9c099c091WyKYRim74PjM5Px3OMKTq33LAfWb6O/NdR3WrZdKkCrqrrmHPlsNquq6pB3R4LsnzB6LuNXmYS0ZP43m/1LSrxI+bbWwIxHmZNwPc1xCChCAIhQAEK5fvElHpko1t6YfmTG6ugk3zfT0pBxlRCrA+IOcMHuE9PqW/loDAgxbX377Nc4vOwynXLqa7wpfEaDj+CF6fmZ2kRAdr6LCDdyFZgBAnTaic8yb5Bg1qTxVhRgmHvMvEFAq4KnKPE8o2w4qq7rfn/wc9+xLOu6wfGM1aOqqq8/+v+fjUdzBTaWgc2H5/nqQ3Q3QKCmaVnWorCDxYugvyxCdlK5UrDTsj6ahfW98zMMI0uSqh1rGvllYXnb0jOGmJDIUrkVKYC56882K/AbITQUvb0vSPPtmvrWYMMHqwyT592yDc4z3PTBlpqydk+zY8e7gQ54T89Er6zLvsrSlTueByxTJj43kXrGi16/3s5Z2OtM0xRF0XEcXdcZdQfkDiKA1OAT8t61Da8IIen2D0jjXy5d1KA/r+M9hBDHcU7F76WI6Vt8oPKPQrPz8uhoX1PnrnUdy7pglwLGEX1G2u7rGfta4CLbzG2uAE0pdRw7u7TIsJwajfmjCJTSnJY1cmm6nvzALdYLWevN641odl13sxyEQl47XH755d/97nc/8pGPHD169P7777///vsbGxsHBgYwxoODg1NTU341SZL+4z/+49prr61+y21tbV/4whfa21clYrnyyis/+clPnj59+qGHHrrnnpWJI4SQr3/968lkcu/evZ/5zGf8nnz99dcjhJ588slPfepT//mf/7lFiXlDQkJCQkJCQtYkfMg+F2wspkbDzSIZrFzHpoLVez+/xTNzX8sghLr7Kjn6rYuGplaA+7KWKU/+N4vWPSYRsEF6cFa4olSArtDlJEnCGPvRr7Ztd6PnHIJ89TnpdseZqTRpjKI5Hhv45Fcy9XeVGrsQQAatmSNdMTrJgLsDnj6zVwAK83x/gp0EAI8yQjyhZDMLpAsARGTslp+BgFjtFTDHkZGnepUjk/w1I/S2fvgJ+C7VdLxIg+dTz0DiPWuenwsaGqyuqmwWwctRNF5uPbZ+db5HSsjcZOVIYU3T8mbQZ6k+syybtwBWVXUDBtNVkg/c3gDnYCwtb06tqqplWYQQ/zvlOA5C0mDsvp709xv4cWJoseTIQtMfV3naBUGQsdU887BgB8yWwEDAsebZdoNrshhVoDnVnRZoTvIWEYAL3Py2v4irwUHEG6N1100YlIA9AAAgAElEQVTwXIAAzZFcvXFkih2oJsZck/th8dcVKhBAzT2XVahAjXn/jybvGJXZSbq7VV/2SfcQx9DgcxvLHlqovbGa0bhCXNf1FU8/lj9vR6PlckvctphzosV7cXp8R3N735qbitU22OMSD8Um5jHreDS6y2OjnuflDEuWhOPsmzrdF+WKvjydqR+m6jrkjXptrQkqH4tdTn0GAM/SAYJtuzdATssoJ78UAT1/kCaKJKO3tKZ/VldmmMGHAkZQfEdFAN7x79A9H17X3SAUoEM2xj333NPf3/++971vaGgIAJLJZDK5KodwZ2fn9773vauvvnpdm21uDsiJ3dLS8v73v/9rX/vab37zm7vvvjtv6GEYxrFjxwRB+PM///N8N2YY5v777//tb387Pj4+Ojra01NV2ERISEhISEhIyKYTPmSfCzYQ/gwAucg1iXQlATpDG7iBP+TDWIaLDUEQcy1/TCceiTHJtWtXZNGpA4Utmgvv5+MKrO9Hk+XFSp7nT9pXteIjgMGhfIN3YpxeXkvGTqMr+rkXZMg4c7+yGZFHJgCkaJNG6jiqN8KQAvMKzAfuQjpjdX3Yu112HACwiFTNsXiU6de+AQpQCgoZNQkHDGTceIxMlEaA1zETxhkriYsUGjSlHQAY5EahrPoMAFB01AgzjR2yN1xZrj37qeWiKPrmznk5z7IsjuM2dn/bUhBCgb40mwjDMP4XTdd132jbtzDieZ7jOE3Thmve07/0zfmavtrUK1Vm7eM4rmPxMVU/VaGO6KVFLw3Wqjoa1zgVva5z9w3xzZbdPc8lgHGJtAcA9elnM60707m1BWh3rUD2qcgb6iu2PG6v/BQigDZ0fDz6+ubMCww4HC2boxIBdUzdAyxJUoVUlv6YXN4SHWNs23YkEnEch2XZvMJOKZ3j98WcEwDQNPetCfcDbd3bKrRZFEVCyGT8jrbUQ6VLezIPzkjXpbg+z/NYotfjsYn4O6LawSbnUIVtxob+PbP9b0WxqjvqeiFCTblFutghm8FpZp3cIkB74KL1oue0+MnPFfUDkWY70o+uuW6p+uwT90bnD31bueyD6/qxIBf5j0vIeQFjfOWVVx46dOiJJ5749a9/PT8/v7S0RCmNxWKJROLmm29+85vfvFmZCRBCvjBdNE8ok8nMzc319PTEYquMmARBuO66655++umhoaFQgA4JCQkJCQk5X4QC9LlgYxPJm5rbFtPttUFSFAWYFN5Y13ll+I50kSKKEvS9f3ZpUVl4RMHFJqFVMubshK4bOIQiDOfqGqXU8zyO47LZLMZYVVUA0HXd7348z/M877puoUxZw2lt6EkEFAAsKqch3s4dXfIadzDPjjh7umB/DcyAByloicF0HCbiEOBHXHxoaHn7kY4+J7sEAAZUFbJ3gt7s5EShoYWVZJpeBFEe5Hb3TH0Bo2Dl1PO8i7r/M0IcNqTcoqCjzk9Uh5Jkgz5nKUD7RgSO4xRGvDqOoyhKZQHab9gGwq7PZpqwKIpnk0SxGnzjEf9UF4rdnudZlqWqalbTTkfv7sn88GT7n+IyIbp5fEsTSR+trD6XXd1J9i88asMNG1i3MsL+fwpUn31i6f1pds+aG7Esy+QSohM8ZKUxDYnL1jDqZaHY8KTdO2gq8TnSFLEnFW+h3IrtCz+Zab1H1/VyAfV+5yzswwzD+KYNfhdSCyLKdcPSmBbVmwKA1tT/jnrv6ezbXaHZGOPG7j1O6qdcSfsJ4BrzSIrrAwAL5Dn1DZ7rZtQrMnAFZ027Ykvv4jdxiQ0XApCPf9657G+2YhK9F+2BMkOiLls2HTGxN83ohhn81lZMW0h4Q6lX/0fa88cIVft74ThOmIowZGNIkvS2t73tbW9bn/n4eqGU/uhHPwKAvXv3Fj4ITUxMAICqqjzPF63S2dkJAIuLi4EbDByy9R8bLhZjdH8M+Hy3YhO4NI7C59I4lkvjKHzO17HQMmaS57gyXJBX8wJsUvXkG39RH0URF/6xXPgtrEwoQG85ZzPhXd72/tPHn+pBv8+XEIpH8TX1PdfVc8UPlyHnC9d1k9Pj4FkU882tndVLAzWxWlrz4VNDL/SyayQWK2XG6fG6bvVnFrO1DWxtA1BqzU4S2/JD+Xx1jOM427ZVVTVNsygGk+O4JvcpX32mFDwHojDnWFiAtO3iVlgJxIvDVJWt8gAzyAWAIftKjBBNjwNAIzuy5orH+XdL9e0SAKXUzqQ8y+SjMX34GCOUja+k1APgqmzYBYgoybAh52RzcXZZSaFAAZYjRxEjyzKccZ+glPp6cX7062wsKXie93P6lS7yPK9cqkBVVf0GUEpVVTUMo/qUgPlj2dhPbD6adevwj6Vc8zRNU1V1SdNOxu4TnWTT+E+O1X8g8PD9kaHekS9ielaB5AjI6ROHerfvPZuNFDExdKiXVtLx67SXF9qqMlmerL+rd+q/S8un5Svjl79nzc7pIQFKzrQIGpKiJutlobueDAHALLOtOfP7wjqKmwRK/E7ol7AsW9iZZVku6r2e53mel6+Qy+UEQfAtvwkhGaHHF6ABoD3zg5lXjjfueXeF9vO8oO36a/bIP6PVB4CATMTuSpjHliKX1WvPziuv84dqTNPEQgMA2ExMDBLWObDSx34Q2f2+iidsIyg1ZZ000pE9US049R9fszkpiz3XjZKZTdlUKXFvfOzo4427qs3VvJyQOUyJEXKhcvjw4cOHD8fj8Q984AOF5b7ZtH8zKVrFT6+ayQRHPNx3332lbyue56mqurS0ton/eST/W5/JZC6B76yu61s9fL7V5K+I/xpyfhtzlvgPDxf4V6B6HMfZxGNZV7ZrSkj1XYF4XvVj7ISQ6is7jpO7MK5m/o0gnV47E/WFDKWUEGKa5lZPPN1q8jcuXdcrTJo87/g/EKEAHbIGZyNAI4Rad9xs0pt8OYnjOIzx5rzthWwGqdRibeqHMjaWJzQSoGMw73VEet9R5VMXQqit/1qTXjMzNdZlP1zlfhfdRqPrzqJdUIBu82EOObYQHWXe7N+bMMa+IF7aDwVB4JzlO+yEtyMCM75XaaljafVYEJHBAQDSfBUGkOwZE8u17Nr6tZuZ5xNtvnjKixIhnjU/u4f/1SR+fR05KkKqdBWGuYjVZwAQBDHjJqJscFhoOcbsy1HjSvbFfA/gFyZ9aw5CSC6XkyTJV43z4povia43IZuiKH43K7eiaZqqqjIMU6SuFplOaJrm69SiKHIc53lePhzV34W/Fz+sON/ODTTYZ6vfeRBCaxqP+Aei6zorRufFgaKlqqoK9kIs87I6f7w0PlpnEzRRJ4EGM9MVApCL2DbzLXdTBeiO2QfXrlTGyrwQz/NcFJynzuIbq7lYbpmhpox6eWvmFwln2A+BafFePRV5U092xW8aAfSNfWGo48+zWo5hGEJIq34gntp/svsv/B645iwK31bFF6AppTm2LR/NjAAavVfdg8ftgb9U1Gi5LaiR6HTbR5smvlJYiAB6lr57KvYhx7YX5CsoYmqNV1LiHkEQTNsmrhGoPvsk3BMTyan6xrN9FhgePNa1+AhPci4SRqK3Nvfts3BEIMWu7hTAw2VNP4TI5hhAL8yMlo2y3gw6rGeTS1fFYtWmAw0F6JALE0rpwsLCF77wBULIhz70oZqaVc45flYGSZJKe6//KBiYPhcAhoeHS58SW1paCCHVjxyfX7Z61Pnc4M9lPN+t2BwujSsCBVrhxc6l1LtWWE8I9AV4Bi609myMC/DEbpgL/MZ1aZznUIDeWjZlgMJXZ8IJoRcUlNLk0G87uQNQ5MeLoJ4d04e/jrruw7jaQVmEUHNrp0H+0hh+KI4mKr/2ZrxYpusDpVXIyDM8YwOAQNMD7oMAMEhuAaEOIRSs4hUoR5ynx2ATos9cEACcLKllRYlS2sm8skDa6nDSowyDKt0xVbTQNPql8cb7WEkhjgOCJMdVNAGNZD8TZFRBKLoEMrlnlZuiVhUa3xkMT+biO8XV1355kuyZN0+fQLcBXdfXa9lctvMU4HuhFP0ilmbxyuVyiqL40T0IIVVV/ZYbhlH4Y8+ybH6PjuNsQIMulN23iLwiWRld1wVByDmu13ijRKl/IAzDSJLUPfpllgRvQWMbpQTHojQADNXd3rvws/wi/+ek3O2heqm6GizLjFYMf/YZmPzy4YaPrBn4UO6nkHMCxpZKSZCRwHKEECYOFJyTXvKcxiQUb2VchwBDAWGMBUHQdX2pZi8YC3nd2bKsNePlCxtvmHaOaVG8lUE1FpzcWt+p5rYufTIu0VUHy1C3L/Wt45H3Gw6uM/eLZLrfODAYv0/geRAE060VveDJ8gBQk3yENvzZxhRSx7EXp063TX17+xmLD57qA+lH4KVHJuV9zdoLRRtFAF2T3yi3NYbZHB8k193yoL/Y8Ndg399WWdm2bVEMHjUJCTmPLC0t/cM//MPU1NRHP/rRW265pWgpx3FQ0U+j3JBbTU1N6bOBX/kCH4nJ358v8HZWQ95F7Xw35KwIr8gFyKV0Uc4KdKGcgUvpilwyA/YXxUW5qN1H84QC9NZyaQxThBRBCNFPP9TJTZarIOPs1Okn6/revK7NYoyV3rtNQmYmTyfs30XwivrgUlYjdTEmmSV1Cx33lt4Xzfmp7cz+wpIJZ6CffeIUvSurB+hcLMuyZyKdk15XCpqb4GRhBQ8YHeIAoMJ8lbdhE9dRij3KzLmd3swYqm0iwGo0XgdJm4oSqqQJdgmHqe32J784RvbqbI/c0bfcTggWtrKk7hLQBhL1TYsjrbVs2Y5UiEUkr+VDoGlotfLuXx0PQFEUy7IKnR/xmZhofzIRwzCFIU5+3rzK0ls1EzgMwxAEwReUfeVXEITA6Ut5XZieUWMr79G2bdd116tBu64rSZLneVs0HUyW5SpHFgkh/swV/+9aTgfM188/Js1MFhkyUEBJea+jJGScTuBxgOWT0M29YjERwVseWhjp+IiDZQCoyR1rnPtV6R6z2WwkUpXl+posLcyVjeldDc/za57qcg9MojO7znatgnUzGXFAys2t2tdq6+TDsbslAFmWXddlWRaBV2sOzXlejcRQQLpDZFmu3MEKf8dZltVoe6EADVDqDhLAdM1tPUvfK1rLgKiEjZSJeJ6dlu5M6C/0pr59Kn4vAIxF72So7VBmWzrAGTlC5ubSi9HY+qKPHdu2X32g1h5Wy1RotQ6Oqq/v0J6tfpsMuzluYN7W5zIVaG5mYT5el6iy/iXzThVyaUApnZ6e/tznPjc6Ovq+973vrW99a+l9tbGxEQAcxyntvf6gaTQafF9/7LHHSgs/9rGPCYJQV7c5sxy2AkppKpXyH2NisdhFHZdACFlcXFQUxTdLuXjRdd2PgYhEIqVe5BcX2WzW87yilJ4XI/Pz8wDA83y5O8AGoINr18mDg7NZB8MwDFQ9e5xh1rFlnuMvhBsapTSdTvvvO/F4/KKWFAkhS0tLgiBsVord80Uul/NfXVVVvZDjD/xGXtR9BkIBeqs5G/+NkAuW9OnHmtYSDVvYI5pzI7d+q26McUt7H0Bf1raNXNYjniBIihqRACZPPmZ1vBmXvBJTSntyDxYGRlKK6plRAOhxfjSovlvTisVflmVbvaczJBHF84arxGFyltmWYP2Ml1SzIlmob+VOAsCMM1CkTQcypNxt2CAIAjjPxJnkjNvmTA6dkt7NmOODzLvayc/X3EKGNtSgJBJqdzoPD+p/5qWnJ5z+Ni74AUcT91y4Pw7rQeq4Mzf+bYUpnvZeRNLujHa9lcOYkACxi1KKGQqAKaWFsc956dafP5FXQgVBcBzH/30tjJsuwk88WM1RWJZlWVYkEsmLs5sy9kYp5ThuA5OhDMPYlFc4hmFkWTZNs/A8IIQCA8wDQQh5nmcYRiQSYfRk29wThUt1NrEY2x1nkipONcMMlMxCYJA3Eb+meeF3c9LOFv2l1on/XUzczDqZROq3gbuzTR02SYCu/rR3JH8wGLuzclfh3WCTO5OrLyeGVoPkzs7S9kaARaaj1hsLrKMwNkUIztjFOJQCwLaR//SXJuvfkpUuq+A2znFcoajhui5X4ghUek8upaN3J31pVfT66dj7XeAHlr7pxO9jsymQwMUqAurbutdoL80LeyzLGIr/YX/qm6UbRGM/g9i9a+43j+d5zMF/ryVruA12Wi+Mqa9vr06DdrDkz3VYmJvBU89iT6eM5DZdn2hsAQBCSJWPyISQvmy1DlTV4AEb+P4aHfsWrf2rKmVlz/NKZ3KEhJwvCCH/9E//ND4+/pGPfOTOO+8MrNPe3g4AlmW5ruv/4udZWFiA8gJ0SEhISEhISMg5IHy2DglZH3OTJ9vYtQVZAMjMjdS1FHu/Vg/P8zy/apw21vOmpBOgklhLCzxaFYE45u7sZA8DAAKo917VoKdoFY5lBScjYACAJn6EA8tPHggAM14vAboEza1wEgBsJK8Z4DcpvTFnEo7jOKppluqqPZgyl3G/SubaRUbnvWEK2KXsUeP6PvGgSZRadgYAcl5EYjR8ZusztK8GkgqdQQB1C7+o46apBOPmjnb2WOkeo43b12jTRQLGGHXcO37qiXYxOMeXR5kZ/vZEW5f/kZZY7trpxSiX4+N8ckrznR/zDst5ncUPfbIsi+M4SZI0TWMYJpvNsixbTnpbb9pA8GcG6DrHcZvoF2SapizLoiiuNy3P2UdCybLsH1Hh+ZEkaV3+HqIoZrNZjuN4mo7x84Oxt/Uv/RQAUkKPF6uvx6MKBF93ADgpvhcB7YSfuozUor8EADzRm2Z/Vq4+AMDmZaXAXrUiu+jMqaybqjhUoRjDgeUmPhv9GXJ8u4gFqkOh+mywtZK3ohFnSERyXZZlMcaO4xQFZNXPPzkvDqiqWjoS45ul2LZdGB/teZ7Hq7D+4RWO4zxgUMGagjPncq0I6EDqgQPcu2JuFlELAWG9rOeYmchVSu4UI3e5XvA1TZDTGcsUhGpH4lIjB1rXUp99OqwXxtTr2rW1U+MuittVx6Evf6nFnV4pPf0SOY1dJEjUoIB0JrFYe2ND31UVtjN3/Ncd1bSsaspFT8l0aebYT+I7/6Cajfgh85varpCQDTI+Pv5//+//nZyc/OAHP3jHHXeUq1ZfX68oSjKZzOVyhWGblNL9+/fDGYU6JCQkJCQkJOS8cHHHb1/ghOHPlx6U0hb7F1VWtnNrJ99bFyzLJrBXKhfWpX5dVNLGrKhacXJSVYtVHl8HMak86Q6IKJdXnwGgHk63cEO7uKf8j5UFLRtHT6ofSBoRSZKamOOd5PEmaYIFA2M8zNxuyv0SozFEk3CORe4e+WkZZ331GQAUJltoRDAgvAAAte6xabyjjpsGAATQLg7mUDxHVqXZmaG7eP7SsURHCDX0vSnb8JEh67pRc3fS7hizdp/Qr5lg7kjXfdhp+9NEY1e+cs3q8CV94lSdYvICCwCu6/qKs++w7AvNRftyHMcv9JVlQogsB6f+chynevWZ53lBEPy9O46zifPWfT19A1ONPM87Sw06H+Zc+I1b7zZ9UxRRFC2IRsjsgPRSsuF6u6knHtfr8Wi5tSa56wfFezRNs2yHA30uvq/K3UXjmza1sNw1NHCcADaYeGFh1/Q3S28yBZtCFAVfQYyrSiXqBg2WU0CcMd6YfaaopRlulcJy2dL3/P7DMAzDMGr2xKoGULcl85yTmS0dNZEkyTCMIncRhmFYWizNC0JV4fbHhbcXfnQprs/9DgBMUK9wHmrSnpxldw/WfthFUpf+y/qlxxyll2EY0zTnpSsCN5gZDLBhKYUQQiltnPtpNZV9OqwXR6LF9rJ5KMBw5JbTNbcCw7AH/jVSqD4DAAAGwlMDABBQxZtrn3uQfe5To6dOLM7PBT4XtZgvVNjXUe620vJX+Lv8P2wQyHoeZZvMF2cnqhpCDgm5EPCzDn72s5+dnJz80Ic+9N73vrcotLkQWZZ7e3tTqdT+/fvzv1yU0ueff356eprn+R07dpyrhoeEhISEhISEFBMGd2whoQB96TF66vA2ttoYQwVVFW62LgRBaKZ0yvIws/zlJa5bz04U1jls3bibfyr/kVLotR8+HXmX4zh+GCnGuNv+yaB7TT/7ewoMFKjMNpGE1WbNPHaKwv0ybI/ozY0od7quSym1tJyqqp7nxdCpWeaqDLQZhuEtu9ZiW72jnxTPrc7vbgn1TLs7dzI/AV/w4rgl2tTMDg/SO7vhFyyyAUBhssDAqdy+bv5ljKhLuVjPWzZ6/i5ceF5o7w2WmVZX44nmYI7zXEfUp5qaV+RjSRYAAGHAgDVNq8anuNwceZZl17x9qarquq5pmjzPMwxjGEY+L99mZRD2DcVyudwG/DQMw9hAAsMiGIaxLKvQO3u92rovIPpz+YeFt3dbP2liThc3FeIT0m0YbI8u54+yDRsg5+8OAe1kj0zL+5r0g2vuroIwsV5cHDwykeZaaz3q8AlJX4kyRkBb5398Sn1LYLehlGaV7Q1LK7YhObbBqmmuxZPdsN8gN645wDDD722zXyoqREA7jKfSqKmo3GFXtZyldm3yMQWWTte+C2PMW8Wu055jDqS+c7r/r4rSVxJCWJYtHIZBCCkCiuurgtYd4MXq+mdNbQOckWo1VOeIrbX6Lz3gpphdXd5+mSz48xIURfGAnYvdBpSYlq2qagr21hkHSntem3vApG8v1ycX5qZrB78meBn/o8XXsXTtzJl5uo3fDsbe2rf0MwAggFNC74y8r8V6udYZRgA9ZrAJTDkYcAdmH4BZAAAKMNX7F4mGlvxSVD6kHAHsdALcaffaPwIAB4Rh7vVRVq83XmIL0tXqEBNAKxcH3T77Hb3509UMJuU93ENCzhfJZPIzn/nM9PT0Rz/60dtuCxiMKYRhmHe/+92HDh360pe+lMlk7rrrLgB47rnnvvjFLwLA3/zN31zs/sIhISEhISEhFzWhAB0Ssg762d9UXxnBlmRVQgi1iszoxASuqWME0Z54tTD8y6N4J/e0/zcFmHB3tOATCBFCiGVZ/rsHpXSEvaMffgQADuVm3K5F0r6TfQoABCi2F1DRfOHHpHD1LOkUFCEv7SmK4v89pN6laRrAKsnPNE2Di8so5beHAMuAO4OuTtAjLBjzsLuePW3RqIESDDUdpABmhuDaDvRkUfrBXuVVg9SklDtq4gn2tZ0YimTmTdtuauBBWWUmEK+TPI8wDFqadyRJqtKn2HEchmHyKhvG2DeJLjKaUBTFcRw/lBIhxDCMpmm+OQbLskU6r2EY1UjYlcEYe57nD5msV/aNRCL5ePANI4qiZVmUUp7n/WOJRCIb0NYxxqIo5nI5QrgM0xn1RgHAA+60+E6O5hD1sq5kL/s/WBzHFZ4313UtHBVoprlmeki4vTdVafpFUt4Tr7B4ncRq6yEoRLveOoGARt0lAHCQyNFlaxTFHJcSYraM4u+h5b5q4uh0zTXd7MsKLNvopwcfjW97R+XGGHwblAjQADCt3hS1BotutAwtvvEuqXtSagtHqWmaDFnxciHADNe8qXfhZwDAOFnW1Qxc44/KKIriui7P8/lhFYxxTHS69B8Vbxy1N1Ruff4o9JWTI4IOAA6SgHqN3olxZl+H9xLGCGOMETodfbdAzPrc72aUGxmidy39IIU6ammAyfXp4wd7dwQMXM0MHeiY/m5hyQLT2UoOVdfSZfpzv8oJjRJJM+AlyEhCG1nX6uVAAK2n/mtxrIvZda8oyQCw4S8qB9Y254nSX1oZliqvmBz8Xcv2G9bcvud5oQAdcn45dOjQ9PQ0AHz1q1/96le/WrS0sbHxv/7rv/ITOBBC+/bt+9jHPvbAAw984xvf+MY3vuGXMwxzzz33XHPNNeey5SEhISEhISEhRYQC9FaxKTm4Qi4oKKXrSLULkKXNm5MOLIjOtlYAIITMCYJnMwxa7m+TzvYO7ggAZEmtRaR25igAUEC+dOjnTgUA9sx8+W72lTF3t68+BxJBi/SMQJBjmmZJp+M4+YRjCCFfL2MYJjDklhAyyd7i750QghDqRk810/0AoNM4MOwi6Zu22yVJYqmG7HlH6HJdV2BX+bFm3fgs8zqBTDbrD6WED0aiNaU7eu2AidXUEOBAghDkFuY76G/rkTOI31nl1izLEgSBZVnLskRR9GN+A6XbQi8C/6JjjPM9alULMT77/LyiKOY19HVtzbdd9tfyXRT8coSQ73ldZKpQDoyxf5iWZSmKYpqmruvrvbH7e8+bk4zxV0SF7RicLKk1llODMlAw1uLr+/mvEsZ4THxrv/E9AOgTXx6sfWvfYlkPaOXy96+rbZWRZTkwkxsDjosETF0AyKvPPjXaq1noDtyaL9zPiLsb1GQ3erlwURMaHB4bbOnor9CY2qYeGAoo50nGb0khLir+dhiE9XI5VVUZhpFzp/Lli/I2X30GgJbR7y423CBHm/2PeUtolmX9cbta61Cd8SoALNC2OrQy6cRLXFeh5YVQcyH/d4rpcl13JP6+3sVvKrAkeQcRAFCo5xZ1pDiOw4ncgnxFe/pHw5G7FsTLI85YYJTwduunDhQL0JnUXJH6DAAtxoFFqa/WGamytT4KWVxX/eqpdUbg5X+ciN5c03fzuZd42/RnPPqGTTQLCgnZaso9YpUW3nHHHTfccMMjjzzy85//nBByyy23vPOd70wkEmGHDwkJCQkJCTm/hAL0VpFX6EIuGdLpdGC+J49iBgW8A8jxri1uEWCMGzt2OHT73OIcLDwno3Q7d8Sm4ozX3cEcjZyZYUyAcRwnEonkVRXDMDJcV5SMzHvtbfhw5b1QwAgIAEzJb3ZWp+riOM6X82RJZCBgfjchpCi717B0E894iDqGx1tnFhFCEvRwkrucUpqfGU0pJJ3OnBdp5kd70c/921V08Xuu8pGzTzF38aIqUSg51ZRSbXKwlzvojxU0kP1UvbowMJlhGD+muOh9lVLqJ2dTVfCMAqIAACAASURBVNW2bcdx/PDnIv+KQOFV0zRRFBFCPM8Xqro8z1cZf10BX3T2PRBM01QUpcrsf/m8Yf6AR75cURRd12VZLidA+y7G/lEXHr7neYZhiKK4Ll/sQlzX5TjOcRzbtudtFoAFCBDufQrbLIpin/G9/Mc+4UBS3tuov1K61mjju5o32xjdZOOKO1darjPxqDsDABPilW3mSmByw9IzqdbdpZcpoqq1i0+PRG7oFI8F6h9dxo+y1l9UyF0pq1EaFCdbF2RL0uc8XVS5N/ur4fr3AABCiPN0jWtQnVkAiBsrqjZHjIaZXy7KnO2xhtAlCILv3y0IAqJub+4H6MzoYwytsjxmhWrHGfusX+b/TkWuZQD6F7/uf/SHNvtTD1CAkZr3sKxAEWsQabTmHSxmltg9htscN49F7GL/FgTENE1RXPlpopQKJ74d2IAcitfCSOAiE0UEqqE1E85uNm2Z38CB38wIu5pgcAOr2yCzYOESbZ4ApgAeCDwYDghcyQ2TA8uwTEFc244gTEUYUg133323oiif+9znEonE5m751ltvvfXWW9e1CkIoEonce++999577+Y2JiQkJCQkJCTkbAiTEF5SZNLp2Znx2ZmJauxfQ9ZLLhscCxaoPgOAoMQCyzcdhFC8riE+cJfT9I5RZxdHjQ7maGEFDK4qAiEknyjM87wke7VOojE0hdEavcVP8eRBQIwzz/OUUlmW+8iP2sgz1byoG4aR1uylHM3PbQeAXC43ja+lWMTgNjpPz5gduiOD58VQslc6LDMrEjaPbWP0J2vu5RImHq8tvRDs1G+6uRUxrgYm+sij+csdiUQ4jvM8LzDlIMMwfnJC27Y9z9N1nVKq67qiKIqiSJIkSVK5K0sIMQyjUDrclBgrhJBlWSzL+onjCoP3K1Okm/tHAWe8mAkhmqYFpsuTZdkwDH+pqqpFuyOE+GdpY4fjO2VXU9OPgC4sQav/ro8u6GxxpsGJ+Bubtr9+Y22rwEztmwPLffUZAArVZ58i5xwfzk1JsuXW7NRxY+AGEaLWWIDPbx6M8Zh409otBgAABtzB6NtczI8r10+Le22siN4SgzGl1HVdU2haSNxEEAsADLVn1b3+WjajIqD11ot17tFI7oDf4f2OnbAOoIK5L0VyZ3zia9XE1M9MjuUv5by0DyHUn/pGYQUXOAAw2MaszSxnTWR523Y6lx5M5F7IQe2MGnAGEEBq4tXCEuJ5ESc4/22bvp9A8NAdT3ULqwBAN+6HsXGarCOzNCB2/lX+bZVX5EEvVZ8B4Bh3KwOEBwMAStVnH+fE9wLLiwhns4VUwyOPPPL000/HYufoqS8kJCQkBAAAMcCq1f5jLp0M9iEhFy+hAH0pQCmdOvE0d+xf66e/3L70v+1L3xFO/Mvi8Uc3KxVYiA+D1xF1m/MiohicxWvrUCPRduZYqQCIAHrsHze5+2u94yvqG0KT0m0eXiXGneb/4Ah+56D43pPCe1xYlswoYAAYl24v6lEYY19ENgxjBl2BgJ5Nl9M0LZvNZjQzyd3YyA3LOIsQLJD20pp17NjiQnEmsdcUqYUVedQ0nJqZh+Ns8QnB4FFKWZaVZTmbzfryay6XC9SgS1Vjv3IulzMMwzCMUmEUAHieL9VV/UDjDR5YwUY8z/NjD13XLQ3cDkSW5dLwW7/Zvv7ul2iaFolEfGlbVVVRFFVVzdtraJqmadqmq05+UPma1cqlhczDIJfUNeZVQgLM1Pb/U7/nbVsxt1qt71zvKjHtcNHsBIZhGhefWKL1QN0p/mYbBccLJ8gJs+IYQ7z3+uqb0UwOs1aufemp5uyLvLUEjlc7/5QvQGfVbTYbN8XlDHi19pCLBQAQ3CXU0kIBybDURI/7/c2fvRF1V8UdF51oBpzc4QfWbJKVHvf/oACL4t6Ycbgw3JgC+B8lNymKoud5iLpN6V9tM37Kk0zEPk0pLdcnm3NPF35MzQWrzz4LfG/hx6HmP/EbgcETSRbONOPc02CfKNWgL7N/Wv0WCtu9y/kFAIyw155my3abOm9E19eeVBEO54dUQzwe97MjnO+GhISEhLymoECNqv+F09NDQs4/oQC9JZxL/42l1IJ44l+66XO4IA4XATTDMXLiK+G70yYiKuuwHk5H3nJe7PZcKDu6W0NHE96rA/YPIqoKAJ7n2bYzyt86T7spwDR37UnhnqWc57puLpfTtNxJ5u0abhn3dnJga0x7xhGLhEVRFP0IQUppFnWcRm/ZlDEPhJBBagAg5Ta0CsHzstmlZ4WJL/j/+IkvzJ/6VU7LvHZ6e2dHr3+w6YV0a+YhDgUHYPaRRyVJKow0L3Q4yVMUwhxIYIxnvtA0TX+zfkR81cdRlrzi7GvoFWpijAVB8MOWTdMs2jvLsn4sM8dxhYuy2azneZ7naZpmmqZWJnVeIWfft8sFXxdS5BAieTOldSJ4cbz+zTZWT7b9qXvzvyaa2rfoVhOLxdcbD1uX/r3vmOwjCEJEgGT8lkVmJ8ViNpsd4e8IXBEhMMZ+GbjozKbEOXYgcNHp2g8UlUTpKucQDF5CP+Z3gDnlMsJKkrEsB7PEWlB3UYB025UMchk/nBYBy7IY44Rs92vfCYyxLSQGk0Ov/LpynUT2dwBAAQbjf4SBJIwX/XK/UyIA324bAQykHuA5hvF0Td7O08xQ/F6DbeQ4Ttf1SfUtpVsWqFYopDrJSpZKS7it8GPf9H9vetfZ8Pe/wT6RIi3eeqzhUqiNnpmjc5j/gzm8SsLucPfXkqBMmmdgT/xPNXt57fyyhGyYXbt22bZdzU9JSEhISEhISMhrllCA3hLO2ZzN6ZHDjcmvlVuqoMz8ibIZq0LWS/WTKx0q1Na3rV1vC9ChtopalOM43+XAMIwF4aoT3N1Js17TNEVRtuHf1AtpjuNM0xzH16mQHpfeMspe5ydkW7UvXc8rj5qmVWnRWxlBECilLpItiNTwwZ4nhifXCytRfgigVThZu/StUydfmZ2ff42IBYiomZTd7TxWTj9KeY0MA0C9ohNSKiVjjNdUVx3HCQyd9jee7xs8z599N+A4Lr9BXdc5jqugQcuybFmWH7ZcehSu68qyHIlEqkw8WIFNGVzxXbP9+OvACoUXSxTFNvs3gdWamCF6wz909W07+yZV5njig+tdJaKfzB8dz7E9U1/vSH6/03vGPzRN004JdwWu2IROmmalIGgncXVgeUOqknINAAQxiBL/ClqWpev6UmwlcV+jfmiw4Z21sOqWApQqstRh/IICjAu3rHlP6fWenk1OV6jAUR0AJiO3UUpbMz/LBxrP4O2llftT36wxj0SskxSgUXt6XLzBj8XOca2BGzdmVlw4OrJPVmhGn7bGuapMNfdWBDAqvi5f38TR6jXluDNiO7yBotXWpxPojIP2ZfaPKVq1IwwkRiYBYJh9nQ0Bds8ROj89fGjNvZT+9oWEFHHdddclk8n9+/ef74aEhISEhISEhFy4hAL0Rcz83EynucYE1TY4/BrR484N827w+38hFGA++u7zlW08g9eeNc/RrJ+0iud5z/NyuZyu64QQRVEavQM86Dmm2fcl8DxvXnlDDiUKo2gLcV23MODxLEEI+VkNR919I+hNc2hvYLVFtyWwXGzb5UYTk7ozOz+/WU26YIlEoq2tnVPcG0sXeRSP2jvj3BwAACoWOnmej0QiqqpyHJcvWTMCGs5kBTwHFLkt+wkAN7y1bDZLCDmbWSk8z6uqullzq03TzGazCCHf/aPwRiHLcuEkA768ajcn33Ru7jDdA7vLLcqKPYHlzYuPR3kXIYQxlqxJABitfWMEL+QrWC7jICV4mzNHKjRGiQeP6ql0PqlcN8K9rrBwWlmRmBH1ADzfdMUvma+70UOchZf9QAYWfzxFVoVXi+ZgX+57AIAA2q0nqznXickvVxznoABgcC2dmR9L3soNqpkcL63qICUpXj0m3OjgyLh4g2mafrnruiTosS2W/T0AEELmDpcdkcqTYtvP/LHuUdIq+1yn+bz/h41Ulph+cHeVSGSJN5fG8BVp3LTe5tV6I4Hl3e7zLgo2Ye9MPWSsZcQRupmFrMknP/nJq6+++r777vvxj38cdpiQkJCQkJCQkEBCAXrzOTePno5jN89/q5q3wZFTAe+3IRuDabl9zTqj6I21dfXnoDFFUEq1kz/spM+uWbPLeazd/lWMnMaeXisvR+uLothvPxzzTlFg2uwnAMA0Tdd11zSl3UQopX4qPNd1EULTucQIfVNAvaB+P2u3YY4DAMzxbjQxnjXOpRPO+aK+/bJJsqewZMTeTRDXKS5/66PukaLwYdd1dV3XNK1QdPbjKyvAMExgGGBxxryzVkUlScrLbXl0XS8ymxZFUZblopSD5cjlcr7d88aaxPO8H2G9sdUDcV3Xd/8QBCGf6bHw7Imi2GmVzcsXb9mxiY2pAEJoKPb2Efn6UfUNE/LVVoFlvOAGT1AAgK7pb7XQ4Xo02zb3KAA0o0EKKH90pmlOcW8IXLHWKs5qWIgoySYKvoiiu2BHV52TjNixchQACABjLMuyfzfTNG2y7f0CWen2TbO/NWDFn7rd279eN2QEoB/5evnlFAAQsUWyuPI5iPHIW4dj7zFN07KskZp3F34dTNOcUwKyTcp0Kadl7f3/X2vq8XK7T4q7/D/m+OUTFXcnSqul2I7SwnL4iRNtVHYMUqBaaV5Kr0wixDwMuB3G81FjbMlrGGWuyqJEftEYe0WFFVlwKMAEEzByWW7MAwF1hx6p3J5wFD9kTTDGX/nKVziOu/POO3ft2vXAAw8cOnRoZGRktAxhpwoJCQkJCQl5DbIOr72QKjk3ArR2+jEVVbWjeO7AxGnS1rNrq5v0WkCW1dPe63uYsiLvkH1t+8Bl57JJedKDP21EI1VWTrn1zfilRgwT5FpF6UAIaZo2rL6913qEAVum84yXJoSVJMkwjMpdetMNZ1iW9SU/AEgbzLy8IwHHCivUcQFT3Rfl1xUG8TKCNOt6jcit7CB8CZDofePQqbo+/OSE3Z/gp7vEo4VLIzCd4XdgjPMyVt4WGQAQQr7nyZp7EUWxsrfGZgXkBgYaE0IEQbBt24/KZxgml8ut6wXecRzP83ie34AXh+u6fpbCrbi3569LkZjOsiznBkveM7Q/znKb3pJy8HK0w3nCT5MHErhQ4yBxHvXoEJPcxRyTqEHJWjKedhON1nL8MgJoXFrJjCfgHFr9y5jzFALYd04oREYZ3XWZ8t/Zmdo/6Fr4bml51DopO5OFJbRkfJ0zkzgzCg3X+MMtNl9XuBQBpfMLTkLlSgTT6nHK6OMAMIu31dDpGnN5ZMgERYSALxQFrKE6BsDXyku7XIbvacw9U7qiceInLfZ4hbbpiWth4ggAdGd/XUEBjrtjFTaysjtcI5E0Cw4A8LSSccoi11nrrDJi9o22CTCVzbURQMydiLkTAEABCLAe4jqs5+f4gVo0zpRZFwFwYABAFtVHCqzAa0jZ3Ix17smsaQoVp1kEZmENCcnzz//8z//yL//i/338+PEPf/jDles7jnPJP5yEhISEhISEhBQRRkBvPufALtA09CZ6dO16AEfJTY10qDfzw/nDPw4DLjaF1t6rhsibSs8lpWiUf2f7wOuCVtpyZidONqJ1hLrH0SQAeJTR2c4e+1EAkCQJk5Xp/13OrxRFqUZ02/S07yzL5o0IPM+bc1fN9J93mkWmWO8gFPHxhqJCxDCzhH0txEG39+7Ntt7fJp4SsV60SGa0CExw3PKLrqqqhcHOiqJgjKtxba4cBU8p9Suc5WgEwzCBAjFCiBAiSZKmaYZhaJq2gbsZIaQojLpK/CyFgRbYm4WiKEUR1nHvRLnKqPGGrWtJKba+VPiRBUei2XbyyjbyVAd+dQd9soUcFSHL807gJaFnZiywaOWX0TTNcT4gnx6s1YWaO7e7EHAREYDOtcxL+/yPR7k7dvC/m228vtB9uGPiO+2Z3yqZo8ux8Ai5zHLoru9rIbkpOjun07UNiClFx2nAVTD5Yo8mSqnrurnn/99W9xXVm11AHZPcVUfY2wPVZwCggFmWrdNfFL155Fn9S9/JdzyGYRBCjht8fhR3LrD8zGaRh5e3w1JrgeutfICBTPO780kpJZL2rTwyTGNhnUF5lSkQATyXuD3QAxqVDD9UwE/S6Cvd9fZJZJkaritXudE7Oc3snoq/vbCQlg85RwDazBoPVKGpQkhlWJYV1sP5bm9ISEhISEhIyHkgHH6/KMlOH6qpolqKNu2wlydxt7oHJmd2J5q7K68SUg3tPbsNb8fU+GCCHOJAz0GDKe9tbGpdt2PlJkEpbTcerb7+AmmtQxMAwCBvwPo+APRbD6KigDJKeC9F6dq3CE3TIpEInJmnTAgp9LHdAH6ga16Po5Q6IHOgAwClAChACR119pYLT5sxvTaWveSD1/KGzqU0wYEmemBGvTKL2gvVZ/8Mcxy3ZhJCjHE5E3D/xOYHITYwGsGcwTAMQRDy0dmFyLK8KSku/TSbawb1l1s3Eoms6VWyAUrjsmVZTtgvB1Y2qRKLJwIXbRExbzSw/DB7e7/7jHBGSI2TiRTfFbdHiqodrXnXLngaAGQyk4Z4vtzGwTldc9lFXmiu0J7h+N39qf8tLZec2dnaGxPGQQqwg3kKABrxadpcP51tbtIOoDM6ePPsL4ZtT4huy2azw10fa536IetkeXeJAkqJ3UhWa63RGWF3ExoK3LtBo1Owowe/0EFfnYA9bbAqhZ25WhWllBrPf1aiaV/6JYA5lkl7jY3OEQdEDG6pObKLBACotQ7XWYcBwMI1+W/EsklL0NALBYjYZSN8AWCR7+0Z+2L+owUbGU1ptg8Xfoy74wAQ9ZKFhf36E4UfMZBt01/xgHGQwNFV95BSh5MckzCkrhr9GEfW+LJjoKoxPaS8qc8NCAYHgGbvcPPiqtYm1RsMrsUBcSD1jdL60dSz0FXJ3IMQsulDrSGXEn/913+9ZtRzIWF3CgkJCQkJCXkNEgrQm8y5iTKusV4tssGlgIACQit79ygjWQuFtVqT35yE+xLNXeeghZc8DMO0d20H2A4ANQDVjAdsHWOnjw6sXWsFRL2i/lOkPruUnXU7W93HTeXd1Qh/haocx3Esy254HoDvsVAYDcpx3AnrxiZhNAHHFt2mhBDgv+HWXV7uXhab+Ukaq7Hetc27L2oQQim3Mc4my1WIkyMcZGyhv0hK5nl+zUtcTheGM4GBlFI/cNX/n2VZz/OqvBn68qsfnowQClxrE++ruVyuSufoUjRN2/C65UAIFYb8+8iQLjdgMqu8sbHMoq2CBov1Kp0niC1UEVkeiI3wamGxmz3g/xH1hmeZRD7AmSPpjTWno3sbTQX4wPMkLdvjADDE39KPlpPgIaAtkakx+U0tc08zdHkyhGpOeInLOI7L5XKDsbeKotg3+uVk/KpW7zCQBQBosg6f4l7fy6wypJ6HTg/YRny6F14AABmlsXFkVuhqKDA+KgqxH3/xwXa6cpgjte/zkMiyatyasrAs0VWh5T5HudtlStNcd8wZBgCO5Fh2eRoHS03BWbRJ8QgcBTSFd7XA8xVOWp29Sk9vMF71WLb63IC+4UaVlT0o3jIDHkPXnhuhePMpui16Jm/qAtdd5wxXqN+X+/WEeFUzPVrNgTRpwVK1j0rnNdvi+LJxqWEEdEhl6urq6urKRuWHhISEhISEhIRAaMFxMUIIiaDi7E8u5Y6TN1C68lY+4/aKUBys15r8xuxMQN6hkIuaDvc31VfOkEQcB2i4eeZJB3VJCxxnITjotTKO44iiCAAsyzIMI0lSheDcQIq0TsuybNuec3sWYUBgAvwZltx6VgpOMGUN70+wE434+PzkpZ+KUxMur7CUeFBHjvXgZyRpVcYwQoiiBJ+9wjrlQsh9PRcAZFlWFIVhmEhNjRSpUaM1kUhkzcBzVVUNw/A8zx+xCJTCRVEsJ39vDMuyNpZXM6+zbyK+0U1hCUIo7h4LrOxRtqFt++Y2YG1Q8OBOhM5P4+2rS2aHoqtGekykSmhZr1fITL7vSZJU7xwI3hteOzBwMHpPYHlr5pcA0IEPFZV3MEdoY4uNFQDIcQ05flnDFwSB53ld10933x9hVl2FXufZRbshCX0AMEu7s5BIoLFGdLqwzrSwt84aTNGVeG01WptJp+eSU1MTY8cOH2x39vvlBBABbNPlbJanYvcgSoq+Gwe4uynAdvsx4jmxM8IrAjc/Wz9no8bcM8CpADDKXjXD71rkewy+DgS+lRv08wFWCQPupLiv+vrVq8/+xquvXERb7lney/h/V1afl+ubL5quZKJIuQoTzKocrR5wGRQ8gpOaDo559wkdzEJCQkJCLmUopcSt/t/5bm5ISMjFShgBvcmcg7eUwEgcDtk7mGcIYH9a6xi5rMPbH7h628z/2E2f3tomhpxbRLwOec6kahRVcgtVvRnujPS8MecKTdNEUfRdBQzDUFW1SiNmjuNKrR7y25lXt7PYXiJZRD0L1VDAGDwFZueY7sD55EZyYge3nC6yyXrcJgMbkx0vFmqbemEyeFHSbGtkRwBAoql++Pmw+rastiz1GoaBEJJluYJxim3bDMOUi2q3bZuJJRrtJ6L8okP48YY/yS9SZie0dFnpqiiauFx6QIZhNve+6jhOXvhe77r+qdgsGVpRlFLNXRRFxQm2Uxhlb24952YyKbYzYZ8qLa8hU6PcVdT7fWGDBrynZvkdDfaygD4dvaYbrcjB9e7LVNnLINpp/cw31SlFlMuKiXk6enfCweBFw/z13eggASbLdte4K5Iih6wTdbc2eidiZFKFg978qxrffRpfoSgKz/OU0nHx9Qpt6HJW4ohryRiYMM3ubuJOBZ70TvwKBhKxJnNirQJLg/T63pP/rqPauOoxyGsGmGG2NXknAAADHYm9M/8VQww3HruLyw5KdKmJHNegbpLZs9P71VDth23brtVWpHkE0Jf61mj0HRZSXNfNCP1d6R8u8L2d6NWixqT5rjp7cM1Tl0e1Kll2bBFz3EC9c3Jzt6l4C0nhMrGMZzph1AVhX52e7y70FPf6ffZDpTXd7DRAmKs5JCQkJOQ1iWfT3/xt9dWRWjbrckhISEgFLmU55rxwLjKelddiMBAAMKnSbgerzwCAgCanx7ekYSHng3KyIKEB326DqPWoUljZsLs3nx3LReKGhT/TNAkhhBCMcfVfCsdxKifnWcras1khSxJLWSedtVJZd8Zo4ClxU3NF3wviOtuch/NiHYPc1HTZrG6XBizLjsP1peWjxnZffV6uBlaf+7Ba8OBIKS0n/uYr+FHtRbtTVbWmpV1p6XJcd8brBQCEVg2PMfWtkUiEZYNHOquUcbfCv1vTNI7jNrBlz/OKQsg3DMMwjuOUfsVUlMIQfGZaetcRtbpZROqDE9ZN4t0qmS0tr+WWlU2CmE5utWuwd3Kb/YM+64fl1GcAYNm1I3kRQqN8QFe3QO7CLwPAYfLmWf7qBXZn4dJ+9nmFLPh/M+DK7pQ/tuF5nm3blmXZ0Z0nhduKtslQu1wvwUBO8TewYAvmomXifusJDESl80t61L+qDXIyh2IAMKXe4jArntfZbNYj4ES3xyCZRH0SLPGgs0TPZrO7tO80k2Or9+J1Zx4cSH9bEIS4+epx7i01MFPaGJtZn61z3BnNMJW8treCeufkiHhd4CLqO4ltiBwt9hMfYm8AAAK43X6+Vl+xU2fADVSfAaBhtcN1KaELR0g1eJ43MzNz8ODBxx9//NFHH/3d735XuNQ0TcMwKv/ghoSEhJwfKFnHv5CQkJANEQrQFx94rdQlruVVfo2LzD++ie0JOb+UU/EwCng4mCftFTQ3g6rd9MX8R4aaZ//KLctyufx1wW0wDFmWZTlATMnLhYWxuqIoZrPZ7PysOTnsastztymltVMPMmjVmYmaz1/y06gbOq9Ke6sy1FEKDcxIUTUEdMB9sFCDLooNxxgLghCJRCKRiKIosiwXnjqEkKIoaksn39zFKDWI4wUGGygOAAhWdRiEEKqpC8y2xDDMujpGZaqUkkVRVFXVT+ZG/n/23jtKjuu+8/3dWzl0mpwTZgaBIEgwgAm0xEyKtClKFpMsydKuvF6tZOu9Zx+/d97x7vEeh7W9x6t9K8te2bItWhKDKImkJFIUgyhRFCnIJMCAMIMBJmBynunqynXv+6MGjUZ3VXVPAgZgfc78MX3rVtWt7tu3q773d78/QlZrDpNHUZQwVb1yJEkqlSFEUWy2fxpYf5hecV5yacrJqsDyNnJQx5l32XuKyllwRpI3AMBoen/gKBSBTcUK39hU1/7Swhlhu58IYQ9+3rLtUa+3X37ouPzAcfmhU/xNGOh4ge/EvHy5b4DueZ4/SaZpGlWaisYIl40SdmvwMACwYAsFknq1NzxudlEKGBFO5Wdwd07ozJ5tHW4YhqZp/cIdRmK3hdNuatcJ9oYrnCfDToSBNC081c/+2k78MxYFTDq6bPG8yCLXGtFyAJhj2/P/e8B652RJXL19JPBEKCgtYSAnG367qEQhxaZkfnJCDAQBiT4sBZhn2qfY7QpaHBo4UkkDYmLCmJ2dffDBB6+++uqrr776tttuu/fee//zfz5rxeFf/MVfXH311X/yJ39y0d+NxMTExMTExMSUEltwbDDn4J4SY6zTpIyWA7f2uddth59EHyHjjQwf+1n99hvPi5wRsx5s287ODNrL44BASLUla9sqF8IIRQ7hTpLLwiokYE6ChfxLtBHBp6s9gud5ftB0YT46lmUD8+CxLJt3MDAMQ4JZRhARx5PhNzJccZCgipdyrsuuVXO8UGDb7s+NfENhVsaHMbu7hQn2v+5ynz2pfsg3weA4zhdDBUGQBMwzlsItCZzpf3iWK846LQmMdV2XFYVJVmHprJV3YjKzaCeoCbQk7h7xQumoKAhC4We3HhiGEQTB87ywA/oGCz8XNAAAIABJREFUI34/zOe35DjO87y8UUzlKIqSP8IaWivLcl6OL0zdeeb4TA6HrGkQ6s5D+DOEhyQ7IOx0XmQgYH1Dm3dwUPlAB3N4teeaZK6oMMWiJCunxBtazdfyJTNMdws+09V5fsVw2X+ZBdVV7u00np5gdzW6RwCgXnstW10c3K3r+qyyrzr3Kz+VogtcIy62jKBwJlKXBzOwec3OoSG4pkM6SrC0WPWBwBuDhCqzRLf13DLT6mXHdoRY+XvAzuPWLNOkoIXtp5MrFrbBB5V8TGmnzFKnGuv4iabPYnBZQa5raKGUjg6+Wz33kuAtcXTDJoeKWJWddCBdk/9SVFJjHaMCs9rfKg/YUe7KOu9YFRnxS7Znn9C9Pw6cMAMAf0HPalsb8/7hjTfe+MhHPjIxMQEAgiA0NDSMjRW7Yv3ar/3an/7pn7a3t1NK4zvwmJiYmJiYmPcbsQC9kZyziIZ5fo/s/Ly0fJp09Lo/AQAXeBaihJV28ydz7w4ql34yvgO+UPA8b3HgxSb7V2ccUmdfg1kY4/fJlT0U2yB1wb+Vr7ehrOpL4SctzOVyiqIUuhOEaYsY40IHEsMw2LlJwqDt3C8Dj6/nlpPpizxPPcuytPNTY0M/b8YHCUW1eDi0Jhg97ndGlQ9kvTSclp7rlGkGF8fUU2qz1Q0AoOoaIweYvjG8AJZDKS5dRI8Ylud527Yxxoqi+I4HDMMghFiWDTOQKcSyrAjbZUmSfJHRcRxJkgpnKRRFIYRQSks7jx/x6mdQ1DSN53nXdX1xOaLHSpJkmiuCo+8VQwip3A860PG5EEEQWqwfhG1NZ4IjkTcbGrIMwtdeNVSt0rnSrSk8TREuiogvcyJAVe37Kq9fvf0W651DAs0BAAGc5M4Kg+3Svzcg31u4WiLnsBrT0gCDM3RbrXcCAOq0X2TRlYWfOKV0Qdxdmzvgv5zmdjTBWbnpXMoB0HwMMgeh/vsdzi/7k58hhDAh/uYU8IIOHe6xKnqqIeQgy6iO5aEWxmthHACytCqB5gkwi2xP0j3BFqj/PCqWwqNvAyiAc+nvtKjJfAlCqKFrD3Tt8SjNvvkPVRXkANwiMOA5IHMlWXPf4+/ebf+wtP4c7sjhqhbvULt7oGjTYv8L1TvvLN0FAFzXXf+6h5iLlZmZmf3793ueV19f/41vfGP//v3z8/MtLS1F1Xbs2FFfXz82NhZHQMfExMTExMS8D4mjOTYdSqnjOBvrHqg07CktpAApe8SXf6LVZ59qMjTdH6Bix2xBbMtCR/62Kcjau9k+0GdfXclBHBplr1zKAr+zEn0wmsAZDlmWiwJIOY6TJEkQBF8B1DRNUZT81ggT4aLj27aNPboMbYH1s/MhSfo2H8/zZqcnJsaGJ8dPrf9djQYhVNN5o9b4uyfMvQKKSlCJAFq9n+6AH4h0vq1qtjExUao+A8Cywfv/BKrPK4eyDItIgS6ubENbIplUEkmkpnC6RmjpQtUN3cKL0X7feXxlOXCTKIp5SZcQYlmWb7Lh+2w4jmMYRl4yDkTTNFmW/djGbDZb2OuK4Hm+UG7WNM3vfmpIGhZVVf1+y7KsoiiqqkarzwihFLPAhAzdo/SS8zVZSEiwwp5FdSYkhpVi02Qfnupjwi2rOtEof8uq4soZhjG2/yffz+GkcGNRV2fBbLVfKfQut217QrgRAVTzE4u4GQCoZ0WfkWeKNU0WOUtcjwcr3whAoSoSAey6LkLIdV1Kqd8tZVlWFMXvD6I70+u8bKJU2BHmUXOCX5ZhJWSYAiTQisg+J1zBnh17XocHydl3dCzYBEINuyZ7vqAUqM+FIITEvZ+x8IWUX8iGgCGiSH0+xeydZHfYSKqmw23eQRxkzVFvvrlZTYy5qPnrv/5rz/M+9rGPHTly5NZbbxXFYDehqqqqTCYzNTUVC9AxMTExMTEx70PiaI5NZHRksFl/VgDNfwK2qDIs3tHe2bP+I8tKYhGa03CWmjbiXNIOZz07aXy7h8SUFZp7rc14WXOu4Tg+rELMVoASIvR/mQ8PteshvwAoL9x4QXU8YJiQjGcJ+6SQuHKd2XICxVbbtnme9/VH27Z93bkoV2Elczae5xVFlfqnm+T2Jk+vqi6kE17OOTvX7Py7Niils4OvNsNBOa9VnYJ5r0no+MimxtNxPN+6/YahkaoO90fRNTF4kj3I4rAoTLCJVPYtY63ckL2rXQoyUUWIqT/LjhaN/ZvjZUVpBifqTdMsm6Yy7FmdUlq4iRASLTcHUhgkq+t6Piba8zzf2UMQBMdxSj8sP82mpmn+LvlyXy7XNE2SJEmS/AmVss1QFaXFDA1/TrTftNrr2igQCp6opkAJhBp5s9SsbbvM6H9dQuWvHQDmaFtdx6o9RiRZMS/9v6f6ftKNi0NZAUAhU030nTHh0nwjc7o+IN/frT+RFBZ1M624k4IgFA1xeaHfAbEGneVi4RtfzPGXuzhRbx9YKQrhRPUnTU3HGBNCfEOh/GAoSVI16bd1QyWz8zh4tgwAltiWKpg90zAAAgwGz8ZJRIvHVQTUYKsVd6awMDCb5azQM5u+tqsh9LwAwDCse+Uf6Yf+MeMELKGY4Xu5nQ+IkuR/ASkhhqGlj3yJpav7sRgW97WbAR/cGphhuhWvzPqeKjpS6hZdBAPOwvJSIhk6KxATE8hrr72WTqf//M//vKoqaqmKIAg8zy8uLp6zhsXExMTExMTEbB3iCOhNgRBCj/2vbfoTImj5oDUB5Xqt7xrHHtmQUziNZ6V+miHt7V5x5I5qD0eozz4Tx4PNCmK2DlPHXopQnwEAg3fcvqrscQgNygUXoj4DAAvW+iP3DcMojSr1QwJ9h1aO4yzLKlIY/Rxx+ZemafJ88DRJUQslSbIsC6HguD+EgA5/cy2XsVYMQ+cH/78W9BY6O1KyihlXTn15YW4mbMcNASHU2L5rRL6/bM3AyOU8RAnVpvOI6WqLSZkkNII4j3nyrW7vZ8PKh3liNbMHKpkP8L0y/P/91IiyLCcSibBesWYIIblcLpFIOI6DMU4kEp7n5XI527Z1XbcsK3DOwA/Yz+dsJIT4TiCGYTiOU4nVtaIoPebjYVsnYYcoRaXC21RQiO+tCUkA6CgxMfBhwEIIod7fpbR84PYU2aZuf2BtzWM5ro15L2xr2um7xHkycbrzEEKWNeO48jACKgiujZXmpeeKelGEp4p/JdRarHJWzhgWlT4tX6vlDDg9QFFK8/bBsiyzLJvzEi1cHwDUegOluxuQeI+/uwO/XVR+QnkAAESy0Jn7buleC2KxpXUp76U/VpuY3+k9u3g0NOGhD8uy8lW/O9r1BQOn84UeMP21n0he+WlJlhFCGGOGYViOSyQz3rV/cjzxocIjTIh7TlbdF3GKjVKfAcBGwdHchSi0jPrsY84Wu37HxJTlyJEj6XS6o6MjuhrGGCG0gQl4Y2JiYmJiYmIuIOII6I3Ej2+yLUs8+RUOBYcCpWFi+uiTyR0fXed66mQqPZR7uH35WwiAUKw4U2s7To/9sgU3rqclMZuKZVntXvlJgh7y8wF7fxf3Jg5ZEu5SVvVW0UkowJB4V2Fw6NoIc+/NK86B8hzLsoWhrK7r8jwfaBlcmDAqnyDOcZywybUEs7hoGGGWDhuL53nKxL+EfSIA0LD8zSX5dzZbW6xvbJnL/vuqqa+h8JbQyMlIzJbXeXklkQXWXDgRXU0fObabPE8BIXAbrFepUl9hXi/DMCRJsm07l8vlZx0KDRY2Cnoax3GKQrMLZcQiwvIfYozLLrXmeb7Nfjm0PQBCy80VNHyzCLvkOnpiDF/K8iKYAcnuGHAIAELI6v2/SP8/yCg49ZxH2RPsne29O9fTQkRJ5AQKdOuPH5N+M+8Pns1m++T7m+2fi8KMYXlJvDRbYOBACKGAERAGHACeALYgMarc3ZP7FgA4lN/uPQd5h+WSD5cAqwntC+JOWtAlMMb5YVDX9UQiUQ/9ADAo7gfPZcFp9g5RwMPctQ2oT0ZZCezd8GLAlWRP+N9UBgWsLPH4lekfgjhMi1cVuIifzey9FK/0tHoYmDz63fSO+6JvRWrrm6D+jwrVsvbwym27b/RvJ/wEa34g6MJb72SsMsNCIC7iAaDCqGoXlZnHIsAWxYO/pzy0O/doac1k9k2AYFerOHFcTBi5XC6TyRRlsCztLX5aggrtp2JiYmJiYmJiLjLiCOgNhlLqDT4Wpj771KETCzOj6z9XY1PrZO2nTVCHvL0yXfuCvjUsWo85Z2gnX6qwZjf5edZKZkmmdJNNhanUx/ykYRXiINVEqfXbFMqyHNjBTNOMUA85jis6tW3bgaGyhdXyD3uu6xoQ8D74LE8eLtvsDcEY/F70UAAAdOzpc+AFqSaSs7W/HdWMcAGPUOCURNjWQqrMBaFuf8gJqLs0X0XMpMgAAALanXuikmPm8TzPdV2O4wpj3oue9jcbQsiqhANFUcpO4SCE0uyCRGfDKkyjS2TlfLrxYox1CA4vncHb7BD7FOe0pIsQYrb/zojyEY2etTLdpdwp7man94vt29alPgNAoBEGBTTDXTbO3wAACEgaxguj13VdHxduZMFheGxTvrAjEUIstqq/6tMYPIvKFNhp6QZVW/HfZ5Htn2xQ/iic7Wu0JPT0V3/mWOrhE+iqogkJSZIK5+F0XZ/nLgGATvRmJ/t2K3sEeAEJfBf+Nxllwy8S8XzUZFUbftdvm8MmAMBBZ1R1F3FeVUMjPivaugH6J4feiTjgminU3cTLP2PiigaQQub5LuuqP/au/ZPRri+MNjxAIm9WDZzp2n1ddJ0h7pqikgZ6PLBmgkxWnlk0Jsanvr7edd2yoc25XM4wjNbW1ngmIyYmJiYmJuZ9SBwBvcFMDh7sgMmy1TJzz9Daz63/BrSquo5WfU55b3VSThEzEyOtnb3rbEnMJlHvvlt55RRMURsGmX2d3BlZYZzuznTfnqEUQjWuYo7JD2DMGhUY15bFT+wWFuYsCELgA1ugJuuLRAghX7lmWdY3RvD9VVmWzYt9rusuidskEmwJ2kpfmx0YtZP7qmsbN+8hMLu8WMOUn2dKM1NTC9PpqvpNakaeZCozbt3fmH0i8IIjtBvDZiHSV4N4rrM0r3C4trERAKbGJsXasyw77MXZ9poqubWJUqoPvTLu9TQwAxhoDqrntA7KVqq/O44jiuI5mDCL6BW5XI7n+QqN0SuZWkgoYoT1M6VI6lhdKr/NYJHtkt1DpeW73R8GOssDgI2ThWHz9c3bALYtW5apa67nchyfTGXqNqh5BAUY2SOgGbd/ULr3JHNvl/F0g/XzJfGBwiUUuVxuUPlwl/G9dvvFIeFOE3N+wLtt20OJe9oXn55kdliQaYdD7cazM6fzmuZ7RkfuOzokHRB5WPBLphO/pmUD5GOEUFGP8jxvmVZ7wDGnEwliRKP8pE9fUQImigopwIDyYIvxokRmMXgu4hjqCM48AHD0jHHTWGp/BwrQmjvM50y6Z1XDIKV0ZnKUyw0AUFfpqqprjZ4HwhjTff8PfeP/ReUu0McDdvGSP1BPuzDX1jcBNC3X96jv/FVgNLTOVHmX/d7iqSNJpnEJNTa7ByN8pQqp0YN/IBDA0sJsVc2mj8kxFxOXXHLJq6+++u677159dVRS6IMHDw4PD990002xAB0TE7Pp6HPk538BAGk/dAMhEjHy4HOaIGejyEq7l+Q9FVaWWFSzqa2JiYmpgFiA3khc122zK4pXFZG2aOiSXN4vtSwIoeQlH9Pe/Ts1PIYOVh5tMYIAS1/biiOgtyiu6wpQJj9bEQig0zswR9qzXBufaklUtVafdjgdY65o9t4qewQDpUzTJmRjeoX/lOVrxEWb/OxtgQK0aZql2nQul/PjTx3H8YUkVVU5jvMzxfnuvfnKWdTGIKOWBgQ7I0RrmSHIDRENLZF61HzvZjhy2FOvVzi+8vMvQ9VDG96AUqrrWpYSvyuNfl3ApZbioQK06YReBqXUmZ1obazHDbX5ws7GutGcyQiia+gkt9RWX6e0tQCAaZro0F82gQkAy16dyFsqzKn23HG+O+/v7DhOXq1jWTbfZxzH8TtDofLL83zeVGFjKc0rWHjJHMetMzOnD8Y4KeFOM8qKd5i/tVHYeJuRVSPVQ1Bgbj/7wQ7vV0ADorxtkEp9WwRB2Iy15yPMDdu8n5SWs9To0R8zUYYCOi4/2Gi9Malcc9YoYdLj8gMAIHnTHpI5WfUnsXRdH0zcs2vpkVF8BbBAAWpRcVJTBjkc2CfxnhSspOkLC5tVVTVbIkx7nrfMtA07vZfj5yq/0gU7UVXwTaWABuSPEQIsXbmoWXFHvVE8Z6mxdR1saKTz0tHvpHf9ZiVnX1qcRxM/qXb7WvM3EsYv6CxMCNdW9dwSIaghhCpUnwFgTtyRKskBKMmKs++/jPW91rL4YwZWZhEooJHMh+p6r3eOPtbqDgBAik56DDuK9qS80QQ9y2G/3jtaYQMAQBz7IdR8prQ8tuCICePaa699/vnnP//5zz///POpVCp/55OvQCmdmZl5+OGHTdO85ppr4o4UExOz6VAPzEWocME7wwN/TpcVbggUGK/iBf2V14yJidk8YgF6I1mYm24MUniDK4++LfVevyHnxRhbQpJSDQC5wM3QjiVa3+IeKnwAmxcvn5f39sz/c+nugW6SMVsBXdfXNkdRTYeX5P3VDZ2FhenuW0nfIVyui44pd4G+9gw5LMv6cjAACILg2+kWWqDmkWU5UOMDAD+iuVCAVlXVF5oBIF8etjsAGIYBUm+NdzjiIQ8jmmEm6cT/9oAbJXvru66t0I+4LJTSRqZM/s88GWbqnCUkkiSZbPsPJwZ+uY15vbC8NFNc1uRms7Ikycu6W6wG+RVGT3Z3tOPmxqJyjLFkLNYlG4RkFcCK60J2eUk68t8ZcF0ksNRKwvQCbeeRAQCe5/mqH8dxfnZKf5fCwHmEkCRJDMMUdgmGYTZECC6FUhqxBn9DOokoilVorMF6I6LOEq1r7Nq7/nOtH7aqG7LPl5bvcl84xH74cvep0k0eswHTqxVS234ZnAwQoH1EugAA2/RvM+Aqxtig+pGsttKvPM/TcgalFBKN261Hj1vXqYl2f1TxhxqW6ADB9jSI0pPyfR6Wpuk1sj3EUidsOiQwEB4hJJDsZei5OdpSjSqy5DpBr+3CZ3WYIekeANxtfJeBlS9CjTzjyfUYEUrRFO3xTKdZP0CTKYDQ/Hv1aIAc+SsDpUf5G5vbugOdjgb73+m2flQHAV83BNBkvUHeOzDT/DvpqpqRweOt2rMcGADggjAs39HWtdN13cqnHWrN96wgnRdj3LDzRofuNz2XeB5mGIZhGxBaPPydeveMtQgDbgt9BzAYkBnHu20QVTpb7/XJdKHogO/y99Zwi425n5a2IUNGrIP/fVC5o7P30oobHvO+5gtf+MI//uM/Hjhw4Nprr/2DP/iD++8/K/fvwsLC17/+9S996UtjY2OdnZ1f/OIXYwE6JiYmJiYm5n1ILEBvJNnZE8ViTDjSajLCRTM5dKgdxgEBAOXAbkL9TdAPDEw4uxq9I36davNQtRmwhhoAKHMuErLFrAHqBYc/0xBNpJCWxe+Rlv+j8CGHZdnJuk/T6dc94AAoAC0MzvFfUoQpYglZe2CpJEn5cD9fH+R5XhCEQjNchFBgVGAhvkm0aZqqqhJCIrTmQFzXzWa1ceWaZlomhSNCwILTwRyA4QMTyYerqjfAGMB1bHE1T5fnMrAOY9zSe53u7TNPfLuKGV9pQMHZTZtxxZ2phlSqAQCgCQCADo2M4EQVI0qurlFtsb2trbGrM+DoAADATr/Gjh/J7vrDRDJNKT3x3mvbcj/0N40m7uxYfhoAEmgWAIbFO/Ido1SnkySJUmqaJqW0VN3bvHcsLPwZ/Nm+ci6flRy/w3qWp1H9n1Ik7vjtdZ5oo+DF0N+IQPUZADypIbB8MxAEkVKI7g4nlftb9R8xJCcax3WmNT/B4Pc6TdMG1IcQAF0ezMhVDpNECC2hhnp+JfCZAMZACgdehMCmPKZ0nHZyci/HcUjXKaV+OD+lNJfLqaqKEAo0jbFte1j6oMxMVztv5wspACnw5Shkjt1tM22WfUyki/lmuEgBhE/IH025J+vtXwIAi07vi6AJHQMZQK5OhqvPPhgRBea320/DAADAMXRbR+9ehDGldLTvQLfzwo7o/QEwkPqxv3fHuJ6CxjPg9urfhfdgHHZW7mKOABzb4kMC/xFCLMsBu6KSz89MNrrBnv4SLCswv809EnaiS+2nR/F1YVsF0HbkvkMPfmek9pMNLV0VNz/mfUp1dfVPf/rTm266qa+v77Of/exnP/vZ9vZ2z/MOHjy4Y8eOvr6VCenGxsbvf//7qVTgrG5MTExMTExMzEVOLEBvJO1Q3t8gTy066WyE6kQpaTN/HLipnht0PJ4LiloqpK6xbZ1tiNkkWD7kIbyCfXnQT40eq2s9K8FXdW29MzUZ6NZCASymekK+yXXdCAGuEiRJKpQLCSH5oFHfwRkhFK0+A4DneYQQP41bYd65ykEIESRWvPIbAKBx+Vvj9OHqmvVq0KttsGEYshyVXmzDYRhG6X1wenGBzh1QyZhLedNhTZcHvrWqLsAhraPt9CghpaA66uGZUlrrHsNA1CN/OcRd1+L8ahucWWPhq88aqlYhCwA2U81xlv92FYXJe57nO7GEnWijwtWLiO78siwHGppXjqIoXebTbLmMoLON/z448d95gaw6T6bHn1ML3UH5vi7jexEVKKUj0h3d+hOt9E1d6in6ECmluq7LsoyS7bwzlrM4QZSnq+9WtCdY5AKArz4TYOZpSy0aBgALpwkhuq77Y5TjOAzDYIz9QgCQJCmXy4X5gGOMTdN0mEyCawRnAQAslBwVb89ZniqipDMgknnFG6XAYnA1pnWGvYTBWDw72zChgBEYhpHgi+/lbCryaI02SjvoC6Tv5RHp7qbsc92wislINsQwqgmOTvPb6+ziRSFLbHPKHSut71U2flJK0+OPRVTIotroaZC0Vyb2HAG0zzwy4t1f376rkibFvJ/p6uo6cODAZz7zmeeeew4AhoeHAWB+fn5+fmUG6IYbbnj88cebmprOZytjYmJiYmJiYs4fsQC9kXAQYIVJKUIoKKMauKsz9w1hYW6qMURjw0Bn+J56Ozg+KI+inLu10jGrQpblSoKdw6hf/CFp2VE4yWGaRirEK/x48hOmabo5F8AAAEVRfAVwtSfVdZ3jOI5byegFAK7r+qa6AODHA+Y3ReNHEa62AXlkWW7xfrzat69x+VsT9IHq2soXMwTgrvLLfb5W46bSGUjfASthzrAhEvjS3ITN7G71DgFAu/N6YJ0cqpIhp0PK885o04SQQrXO73uWZYUlHqwkxd9qUVU1osv5rtPrOa8kSe32C2XV52H+toZUZs1n2XCc8P58jLl5h/dyaTl2lzezRcU0tffOHW2tRqfCKoj6MVPeYeG0ROY4CIhh92e8MMY618qzlBKXUGRCQoW8dQNiwLNhJRh8EK71u2Uul5Nl2XEcx3EwxvmI/miDckEQFFi0mGrqYAAggIfED3me57ruogaL0I5xpyTtd12XYRjHcZDrdpFXV9oBAAAmrvLnbBSJb9RfK1Kc16w++2DwFP1tfjXqczQJfql0KjxQfQYAVNmobZp6GqK6mUtLfcjPQuPbVSe0z+Rpm39iJvWFZLq6klbFvG9BCDU0NHz/+99/8803n3322fHx8dnZWc/zMplMQ0PD7bffvn//fp4v0ydjYmJiYmJiYi5iYgF6I6GAoST9eqD6vFKf0qnxIXXuVRZsDwnZzA31zZ2rlaK8mbciHtbq8Yk+9oPb3VdCd4/7wBYGIUSAYUo6VR4DUiIsUwAcNAnBgzmbXUok0/mS3OiBiOBVP7PfSs1cTpZlnudt2y50442GYRiWZW3bLg0BXk9I9RqQZRljvEjbM6dThFUIQtCkPe5mOY1Ue8BjcFykWkKHWtUpVRykzHKre8hkmAsv70cglNKqqcc4xprF3QlnQoAz3WZR2J6whxlqAsBU5gNzVQ0AwM2N6UaUUrbOYPw1EKEv8zy/nsZwHNfs/Uos8aItYpa21XdcvuazbAbUC84TcIi9lwsR0xk7KinuhoMQkrc/mOv/mhJiN9EGBxfsnETmAEB1hxehubROLpcTRZHjOM+1O60fnaD7VHzmw0JAs7S6GR3zXybRtH76IHnRufKlDwpaKly6dEq8jVLKsQyrqvmUrX5CTtu2OY6T0aJsThceQSTzhHgYYwLQz/9Gr/0MrGQbBoMmRaSVtfuPJgEz5StVjATZIen6DuMXlVSu8CZoZvi9dGSFBC1jdNaQ+zkATOPuOjIQXVMZ+ga97Pc2Y9Ir5iKDYZh9+/bt27fvfDckJiYmJiYmJmbLEYuPG8kk7GyG90rLPYoZVPwoSAAJ7/x5e4G2WDV70ptlR2o+3tTSUflJ66FMrrNe5g3Nq1bpXODWIeXOlspPFnPOIcAFCtCn5DsSzsm0czw6RNqcOpxI3pB/WWcEGyIHPlXruo4Q4nneNzM1DCMiM1seP5CwbLVNxVefAWAGX5ElbW3w6mqPwCInzUyeee0chynIkZTT+EAlMjTLBiTyiuCiiYoaHzrShSwAqEEjhMP98MFe5xV/07x0uexMMtQ0QWUzZ/wZEolEmB8LwzARgu+GdzOGYSJC/n3PhPUcP8npSbvMdIhOk0rvx7ZafirMBPfn7e7LDITksKXnOrctZhiv+9P2wFfC4nYzbr8BiVG4otbuSyutmoULp9wAACHkuq5pmrIsc8jk1UaSw4Uyrog0OO0H3eAe1NTta5uQYBim2n67sMRmqqucvjrzzaLx3EWiBxxvZUs7xCC5gkWEAOrWH1tgd8xye9LOsXfJbTvZ122Ulr31RqCLSF9ETWk6vs7j5Glkyoi8ecIMoIvIOP1IkZaNAAAgAElEQVRlKpAy0c0U4BSzt807WPZcMl2YXphOVdVfNJOFMTExMTExMTExMeeYTfHQfN+i4YCgKgAoVZ8B4KR3NS4RFhlwO2e/brzzj5VrKxwqs9gfIfD4YMnMAb65+4oKTxRzXtBwbWC5ydbNSNceT36CAhshVjHOmTjE5cV5NsQQfFj9cKCSQin1EwkahiFJkqIoHBclrVJKI0x7zw0sy2KMEUKe5yGELKa2H993HH94/UdW8FJq6qvDfb8qW5NhmCyp1ELBIhWpLRcErcaP8v9jRHrQLxa5VgIIALoWH+fJEgD0J+7Nhzjath3hBs4wjO/cUoofaL+RTQfwDXzDtiKEVit5F+rICVVtt4PN+vMYNIF6fwfjLadwsSETJBJk53BH4CZXOQ952ziOIzt+z6XBYxSlwINO5aY0muwynhbF4u8dpdR1XZZlGYwJZQDghPzAWccHCwB8SRqHr20qC0KIo8Um1GnnOAAggDnaMkQumybtAMBSU6AB6jMA2HIPS3Q/XLjKPZZxjs7ze1r54VPSnTPitSekjwAAAdaGyvP/FTOPNjI/hAC5AeXmstWmxEsrnICpJoPRFeRyqw0QQCXq80rl0RcqrBkTAwC0gPPdlpiYmJiYmJiYLUEcAb2R1DR2QrClYTEuZbuc18K2psmY885fWpf8QbTYVzkpNHOK2dta8qA12/Lv0pQgtOX0jpg889wlGSsgjEu1BzShh7WmTqQe7ll6xGBqJS9gxTQqCN9zFk+GncVhkgBRWQH92Oe822lYNUKIbdsMw1QSK71JSJLktyG/Lh4AVFXVadUguV5izDb4WZgQXxYE0Mu/Zp9802r5NM+fkdpd152fHjKyswBYlBO2Pt/EVmoDPcl9MDpT1gVEUcpTBJBGUw6vLLmpDBkDAArA1LUDAM7OI9vMWQFuvHls2w5zgCnKWLghYIwj+nbeGGENKIrSYz4eXWcQ39jUc12FB3RdZ7zvjR5jRRHTUXJcuKqm62pJ3hRDfy7EUkZD1Q3kWOAmyp2fHIoIoUHpN3rM7wRtAhtnOG9FlOw0njkufqg0qp0Q0mi9ugSNQGmP/mjUuVaV4fTsU9g4wdOVIZcCQghZOMV7ywBAhLoEdSQ3OyLcZuGasDbwyLBxCgDeRvdeRp9mwKmz/41QvMDtbLR/IXsTU/w1M6TFcRxFURqt1wQyz1MNADzgF7jtGecYE5IzME8aTURsXUN+gm70y1OJ65qyvwoNnAeAjtsrPFrg2XNsI0Nt0ZsLqxDI8erP9Mz9U3SdWm+AXixLVWI2D0rp1NTUo48++vzzz4+OjgKAbwD98Y9/vKmpaautbomJiYmJiYmJOZfEAvRGIiuJSqqZVLZsIQVRS3c5sK0jX6V7Plf2blWnSRmVX2zbwJ4kHi4yhWwc/TsYhSn2EqHrrk1SLmLWCRIzQRmzACHWcZwUmZJzRyigUeX2nuVvBlSjZz5xagS7sk5I+yvJCuh3RcMwwpLC+TiOI8tyofh7LvEX0bMsWxSsisEdhv22bdqAj4t3AiXt6DUZlYmPC4NHJjv691OJj1bVtgDA5PFX29k3FQDw1Qn39D8VQCiua+5ZWzO2GoZhBEa/c2Bn2JlRb0+L944LAsIYAIiSItnFtZ2I4ziGYTY8ApplWcuyMMY8z/u9nfo5ZE8b8jqOs6ogaP8gPM/X2QciqhGKx9L3NzVUGm06e6qvaeqbhZ1Gpsvd5stw5OUp/pLEJb+54S4BLMsGqo1hzk4AIKvnR4AGgLbOHnIEBUYoS2Q24504Kd3XZXyPozkBGWbJZRFCRsUbUuxIo/Gif9Uu5VkU0NlU5wRVu1frwoExVmVe1M8MPiPina7rTgj7Ff0JBHSR20EpNb1uEYsRNwD11utLXI/sjk+J1/imIyYoAuQAcxPiBzzPMwyDUhsANE0bQJfzPN/rPjfJX9dsvbzE9sxzuzuNZ4oCsYuoQmOWf8wgFqC5qsIp9wJa6Tu2mloyVZ7qPNE4ahRe4QLXns7UVHiowD6puBNFWx2coIB4EnWblNHfpoDWPKMQEwMAhJBXXnnly1/+8lNPPVU4W3n48OGXXnrpj/7oj+66667f//3fv/XWW2Mjl5iYmHMBQqA2AIBHPABAgHx/wmAwA05wFo1zDSsAWxW4hVIgxMOYOXNzxJzndbcxMTGrJRagNxKM8RjsDrSBzjND29PWcCokUVIhKp0dGDjY2lPGImMMLu2B0GDqPB6wXEhKonr3MO0/PJq5r659T9njxJxjGls6YSmgvMF4tQHARfIp+VbFHQ1Un4ugJDjoLMc2m7ny5rZ+wCml1LKs6NRwUfc3mwnHcf6yesuyCl2VRVF0CTaMFU3cMAwAGBL3A4UUnqqHt9lAjT8SjGij9uSo8+uy/lY7u2oVJs+EfE/NxfIsahrB3ru+EtTCHOtnbrGRutI5MOO7tZTVkYvijv11IUbIudaJKIoYY9u2i9yBfXieX9Xkip/UjmGYjDUUVscDZqn1P9QplfokTA+/1zrzRNjWevuweeiUe9kXWXaDf9wtUMXISdNCXOCUiq9oM+jj7tnpfj9wk8a22ZT31cYa+y2Dv660B+q6rkONJadV87kF2pgJCgR2gJ+06lOcJUnSqnqjKvPb9G/nH50ogAFJf3QaVu7xgPNNaWRZRkABUI5pULzJ0uPIZGaQfKCKvJfWD3iIydHMCL1sJ3qlPvfilHKr53mFXxzfTCnLtVc772AgncZTp8Tb3yO3XI6eiZji9oDl4KzeTgANoyub6bs8WBHqMwVY5Hdk7ODoeB7MKtH/xcEAig4pC2QCHAXGqLpWBpidnuCmf6bSKRZsA2W0xJVVrXtKf1YWUGsVDXV5nkK9DXAMADgStbjHp8Z481j6UzsWvw4ABiQ8xAdOrjiOc949pmK2JpTSV1555bbbbvMnKUunjiilzz333I9+9KMnn3zyvvvui0OhY2JizgXGDABU9JjB8JXV23yIDV7wDzfyr4WcXTkmJuaCIvaA3mASHbdEbB3wrq61+jioNJNVdy74EbqQmvbLKznUEq2P2IoAWhe+NzV4qMKGxZwzosVcluqduWci4rYc/oyFdFg1jpTXlSRJykc9U0pN04zwhzkvT1Ysy4qiSCnNZrO2bfvpE1mWVVWVYZjSt9E0Tc/zNNR0kkZ9Z6Npsb5fxaxdfR7BH6hpOA9WuZsEwsGfOz39Q9MLr7rsGV2S8FIlak6RAC0IQiUB+6uFZVnXdR3H0XW91B3Yx7ZtwzDCbKlLIYQwDCPaI2OwJ+xvsfmzlWu187NTEeqzj0iX7ff+pcIDVs4Sv4o4/WWmdcMbsCo6u3eFbWowX6OULrDbASBJxyPyf3pYAoB55frjysMWKg7oHpLvq4HBLv27q5pvS6hKofoMABTYvJnMQo4s5ywAUBSlyXkDgQsA89ylHnAnpQ+PCh+kgDzg6enAX5ZlR+R7XBBcKiTRbAd66wR7CwLarj/T4r6RUs6ahGAYRiIzMpleoE0n5AcI4huEWYL4UeGmo8L9J+TfnMaXFLV2jO7Cp381XGABAANtpW/zYB1Bt0Zf6Zy414CEA+W/4DIsZWCiGkZqYLBl/lH67v9snvpaHT0uwzIPZopONC//gDv8V9OTxSPtLNsbcdhZ3Fn21IX46jMASJANC+0/fvTtwPKYmJ/97Gd33nknIWT79u1/+7d/+8477ywuLlqWZVnW0tLS4cOHv/rVr15++eWU0gcffPD5558/3+2NiYmJiYmJiTkPxBHQG8nk+KmGptYR/qY2+yelW0+6e7vdV1d7zLG+A83b90VUkCTFpLKIygTlWV7558DWpacXctuUyoxEYs4Z06i7jg6sbV+h7tL8/2GOn2n76BxcBpEutwzDFJoPuK6rqmqYDrjaXG0bguu6hensbNv2pSWEkGVZgU11HMdxHEmSzl0rCzgBt7e0h8pkFyKiGPxOnuX8U+AJ4yUyeC4gdFRVVUqp7/ssCEKh34soiqV+0BuCKIqVeClQSjVN8/tM2bhXVVUTziDylhouvz9wVsZ13cBQ61LmZiarR77eGGmYkCfjjoxPjVTXb2QGOa92H4xVmq6NdNy7gadeAwihE3DdNni9dBMLZo/1tI5qXBBYsFL2sRxqDRz3CAgL7HaHsLqeHVNu6TK+V7i1R3/cn1hZ1XwbQ82i2g46K0UwQkhV5G79MQSg6GPjcKkh71jGzS6SPFYeYB4EhBRnpMn+OQB0GU8x4GB0Wr+WrgJcPereuNP+Lg+aZ8tZvDM/GjMMM8lc02y8lEHjCf27U8I+G+QFZvu0oQIYBoDB79CEni7jqXxjVHImr0DetZkFBwB20Rf9lxTgRPIhAGjQX6WumYBZAEAA3ctR9tlhIAAxKBsBC27LzD+PkE82NJ3p1XWde6H/pbBDSbAWGygCxU5lhXAXy2qVmA3nH/7hHxzHuf7661966aWiKUyO43bu3Llz585PfepT99xzzwsvvPB3f/d3d9xxRxwEHRMTExMTE/N+I46A3kgWljQAqO/aNwXbC8tdyi5ZqS434GG4LB3Gj6IzXyGElhoeKnsclQT7/551KAD5+FfjhN1bjpY71rafDXIylcm/DDOamBOvAgCe58MCPwMNNxzHUVVVlmX1NInEytRFhZrapmJZlqZpmqZRSqMDZlmWHcU3jNvb+sgdBgSbjm0UhOIcSR92bjc7fr+l86JSnwEgrP8UcrYTKyKYKXTDVFVVURQAIIT4nYrn+cIRieO4TR2gFEVJJBJldQHDMMqGQiOEZG+i0fpFAzm8/Nb/Km02pbTCb8r48EDT8FeEytRnn/ToExv7RslKYgr30gryutkgJxLnzQA6T9P2GykNbi0LFkZoWL4bACS6EBbCrBvGLH+5SqdVVXWRSAERiikULyQp9Nkvi4dlF7gZ2u7CygqSCeFGqyAVJ6XUsh0T1wIAA24LHOrVH82QoV790Z7ct/yEhL76DAAcmBjOpOJsNV/Ypj/pmSvW6lVef0oiSVVKJBIJVeY4DqwFG0T/Hai237bY2lH3zAoM27YXc16//NBx5eF5dicFXGhwEfbBuyC4Zpa3xkfY6wiXOnMhAMPSbZV0mApBAK1z/1rolyKKkhe+YLjZrXS+pJAI9RkA1GQmYmvM+5k33ngjnU7/0z/9U8TvIM/zX/va1xobG996663zMk8fExMTExMTE3N+iQXojUQmK8s20zs+fFK8139MXaSN1HJSdCpiR5tJkZDPAgOdGnon+rzpTM0oc3VEBZdyEVaJhYig2faq/XBjNpVkKm2itYSlzyrXF75kaXDAZlf2iRrZEgShSHdDCPkSc2BkqK/w6rqunSabzcqyLAjCVhCg85RtjOu6BqrPCpdaLj5mXNWP75ul3RpqpIAckA2odqC8rlohs6SN3fbb3b27LtbQJwvK5DJ10FkVvExDUQR6LpfTNM0wjHy/2vhWBoEQYlkWIUQIKQylj0DTNL/Dl26SZblOWGoxXvZfJmHWfuvPi4bWQtkxgsXZyc6ZRyqpeVYD6LKzcSP5wsx46uhf1jtHkeeeYK7PotoIbXuh/TMbdd71gDE+xVwVtlUlowlnZI67NOkNJUK+3xzHZTV91koiBJqmDcgPIkROibf3Sw/2oZtyNO1X83P7VIjgzbHg1KJh/2WOadDJSgQ0QiiRUH0L8jHxAyuFJb5JPblvFb6kAA6STJS2keoiiQFnN34ZADRaZeGMA7Lkzei67hHQNM2V222UAAAKaES6W9O0UhXMH8mH7O7j8gP9yU+YTHX0FXFg7bB/UGMd2mV+O+WcyJdPoJ0219CnPjyq3E4BBpSPAEDYfU6FYKDGwBlfMoTQdOOnwirzdO1DR5hziJKKBeiYYEZGRlKpVFdXGU+tpqamurq68fHxONQjJiYmJiYm5n1ILEBvJDk483DS3LFjqf0Lg+7laWuQK5vijAJFrM42BG6sXv552VPX9tw8iUNTCOqQCttUyszALyqvHHMOQAhpbZ9c7V4UQG3eW1jC0lDz8VbtWaCkMLhMURSe532JeVXnJYRsqSerQgOHQFiWtSwrl8u5rusbLJwyu06Ylx0l9xxzPthnXtXn3jKEb92QS6pjhi7uuKdx5fboCgQV+z651c35UOLSN+ec9SXfh1fTND+0v8K9dF337WiKyjHGzeZZRkw8WOjdv85mVzKKlk296EMISQ//S4WNKWJq4Fdr27EI09AbRv4+P2GyzX414U6aRB3BV8zh9iJJcVC8NZ0pI1meMxIt10RsrXbemecvBYBO45lAHx5/6CCEeB7JKAgQ6qMfMHG167oN6ISCVgKNM96JtMIkEokqBfz4fQDILwcpRFVVv1dQQL6RBaZ2fh4ireCe3KP+goCc4Y7jvaVHAAAbqQvcjhn+CgKMB9yA8nAf86Hj+Obj7J197N398kMLbC8AqGjegBRCaNpMeJ5nWRZCSNf1OWU/ABwTPlZ2aocQomnacfaW/uQnDKY2rNoY2gUAckmq3CZ6tGf5X9PaAeSZA6lPYoxsnFhku/MVDFhLmHydd7RwTrGqrmUWB0h+BDCKjGWOJuyeTT2vqTVjtjKJRAJjXDb7K8YYY1z5T0xMTExMTExMzMVE7AG9kQhnZ2WTJDnl/rKSHXmyBACCF5z3RqKLlQSUZnrvGh3ral5+qii2cpnWOs4qZhq2Oa9acHPl9WPOAYlk5pR6d6v2w8p3meb2pM+OzZzFnYu0BcCX9M7qJRgzhJ4JFhZFkRBSYYRmERjjzcgRt3kYhlEUJU0p9TwvnxnMtu15G9nqfe3kRSHIn3RV2LYV5pV8EdDY1use5dgQt3EAYKSSB2+E3KpGyRvN+1pESGP5D2XDydsx27ZdSWrE6CbJXsCSFxZsqf9Lc+3/MZ2prnAeYm70WAtdi5UtAHQaL7tw49r2zUMpZY9+tbRcokttzorAvcC0ZnGDAJrD1TRuv7608vlCVtRZ6KyBwcCtDNiiO+V7/qZgwmFrwlZLUErbzWcxuC5wmtVGETPrNqTwiL+13j0Ip90e+uWHEokEpbTFeGFUvcU3oCjszzrbmHCH83HNBIkYY3/SzgFpnL/OMVe+OxaVHcpzqHiiYlS4aclAlNJltYsgHihlWZZhGM/zGIbJZrNIvTLj9gNAmgyl9aF+5SE/VD+bzXqe57rucfkB2yg/tvvOJL5R/gB3k6jwrLvYrj9rQFKBxXy1Znok4iANcBzM44ve1Ix8jYvVBJkYg13NcATWEQ29vDBZVduSf6nu/vjs4W/VeCcK64zj3S0kOKlyFtWZHQ/VDP7PNSxCYcrJizHvWy677LJjx47Nz89XV0fNwGmalsvldu7cuarkpTExMTExMTExFwfxDdBGUuoPWLp+1qf00YsAZqhjQUBYBANuhWGAtc3bze1/OFn98ZP02mG48iS6ca75Py4mb6omw5XsHrOVqevcO6TcXWFlD5hEz4eKCjPCXIs62KIOtapDrepg/q9BncpKZ/kRsyxbNsFaKbIs+yLIanc8v1RoGKJp2iDcPIMuLV81+nRORaGvFygI4dm6j0dUwHJQ5BdmUCKtKIqiKBEfhyiKa+iWFZI3RVFVtUILjjyWZcnymVRyiqI0Gy8G1mTASwx/tcLwZwBIzb0cXcEGMey3gYENEOsHB44pdD66TsY71eb8qt45ClLtlvOWaY4y0G+1XvI9f5usV1N8qCbLMgwGFwBY5KS9Exm3fxs+EFizyfxpT+5bvfqjEpnp1h/v1R9VvHE4bWeEEOK9RQDIOyPL3vh2+GneNFbxpv0ISoxxBk+QoBCBDvM5RVEkSULU7cl9CxBikbst93iv+e2e3LfqZN0jpMg1CCHEOAv+WQzDyGp6JRM5hR+l4zhZLbdgcieSDxt8mw2rm0JLO32dy98eU27DxGqAvpWLLVCxVwVdOlnUzsTuj4/VfrxwpZeGgt38l3Azu+d3k+nMcKLSH9OYmEq4+eabJycnn3766YjJRUrpj3/844GBgRtvvHHLDZUxMTExMTExMZtPHM2xkbS1dxYGjUbchpYmuvFLBAgO/bMsq5IEX+A/uNa2ZArig1In/zas8kDy/u7lJ0rLbdvmeb6S08WcSxq79s4ud6WHvxqWTjDPQsd/SjDF326FWQ6sPIRuJ567fuHYsiye5y/iuB5d10HuqoV3I+pQCv5zJaEIowBt8CJ+f3wyNY2Dyx/qNJ8N3IpFObCcyClWz0bEPouiyLJsWUOVNeN5HsaY5/nVes4AgOM4hBBZlv19eZqNkBZm6z9ZVZn04LluwpuOrsPDZr0hPjuWH6u8cu38j6Hj8s1rzBpIJNMnZ+/qsp6LqEMAYaBt5nOm8kAuF5DpEYe455eikvH8//70M08WVbWp1jmY1o8NKA8LdAkKZqYRgEgX/LGXp1rKO6GKu3KIcxxnUr6aEXC3/ljRNDYGt0d/NL+EpcgSusV8iQBeovUUmCo06hcqitKlPzqMr2XVTsuy1rNCJavlsrAtkby0e/mbletnFMCmvOhMnEw+0LP8ryfl3+jSn1lzG4hVbPcBADVN22jj75lAKQWEUCdCo1Pd1eOPSbDyq6eh6sWG+2rqm33hr2HbVROHRxqdd13gXeBdJDgguEh0kVTr9Ret4cihzAhzJSbO9tITx8QAAMAXv/jFQ4cOfe5zn3v33Xf/7M/+rHBK0sdxnP/6X//r3/zN39x2221//Md/fEEI0P5qsM372V0/lNJ8gI5lWRf0/ZV/IY7jXBB9I4L8T4xt2xe66ZzneYSQrfwViAZZFle+1gp0A7MGBxw8JCt0EITSyr/JZDVOfcTzTHOzVlJWDqU0/9XwHdLOb3vWgz8Iu6574X5NfPLxT1t8GbevNF7oQ2ssQG8kxPNM08ivr69wQKGAXCRxVF/kt6ftvsA6nuvAWjOhsTQ02i5QfQaAXHaZr65Z2+mK8AdZjPEFPbxuHRLJlHfpH2q6ro/8tN45VBrkqEE13f7vEiXzB5RSFgUMqSakc7ruZ2Dz3Q8QQquNMxVFkeM438Tg4v6gdV3vV+/rJs/gkPDS/NUHqs8AgPG5iBCnlJ7HD6Kp67Kh8aqWxcdYOCuc2Qv/xXEWpkf4mq4E0rJZhJAgCKZp+qKz/1vr23NvXps9z1MUpfCmcLW7m6Ypy7LjOM3G82HVhhIfbaypq/CYp479sqzgZSF1mWlgqZXxKkozuyoWFxbqQxbxBCJQTd96ayCauy6bPdpXAyfDKmCgAICAtlkvDUk3lY5+CW9kzWevdd6udd4GgOPk2rbcU6UVXFh5PGSJAQBN9mvHyI0Mw2CMAaHARVQIAILKLSoLSMdAMmhilOyqQgAAvfqjHvCz3J525w3Q3xiQ78cYu65bNgg64ouQ1fTjyU/0LH+DwkpseCEUih9ijyc/4TgOz7K249g40aU/M4l6G2h/dAN0SMpwZtLUAmWQXtGR/ZkgBJuVIYQKb7tq65ug/v/MT9VyALVnV15iuhrmfsEAMFCcc9BEymDqVsWZbM39EgBkyO6AEQIYobui2xzzPoFS+thjjxWtTbzzzjtfe+21L33pS1/5ylcefPDBq666Kp1OI4QWFhbefvvtb37zm6ZpVlVV/fqv//oPfvCDBx98cOurpYQQz/MCp+W2DvlPYfMWSJ1LfNej892KjcGyrLVZ+W0d/N61xb8CETCWUbkAvamsSoCmZBV3npSu4qbd87yctSV00vzAtYaol60GpdRxnArXE299bNuufKHquedCH1R9YgF6I8EMo/zyv8zu+v1MbTOEC9Az0lW1xr/lXyKgHNUBIEx9pgDyWlPfGIaxCjfTM2fcgMRfSwszzvjrTeQd/11YQK1G9Q1VDdsuboHy3CDJsrTjLhfumpqZNC2T8zTWmbP4xlRNsywrgbsghEp1AQBwQUIIeZ7nq3uqqlJKK7/ZYhhGFMVcLpef+bxobp3D0DStT7q7Eb2ThqE17M7xa/hGVoplmYujb9ahIyLWXcpMu91s7VWp9MZMJq2KxqZWr+kPR8dGFO0g7y3YbJWZvLK2vsmdmGFTxRaZlHjTVASAU0yqhtEFQcAYK4qCENI0jed5lmU3+xYNIWSa5nrun3zbdJFHg+5VPA2wF8hxbT1tlcZQUkq3m8FCduEXmQEvl9zbNv/kWlpcDn4kQDCNhpAtJ0ADQGLn/XD0v5WtJpGZDuelYfnWos6G6QbcVTNgC1DchwnFw3CF3+tYmgUAF8miKK7tR5JHZ44vo6V8P2HArnHe8cu79ScAwEHyKfVOzaQRHT56JkbTtIHUb4nmcKv1s+IdgRlEV3fTN/IvEUK2bTeQo/PCbt7IAoCvPlNABiT9BIYesAy4AEAAm5DwgLdBtEE1IGG4ckvulzxd2g7jAOA6ZZYFVEj3zONhmwSa27H4dFHhEt++VdJrxpxvKKW/9Vu/FfYdsW37kUceeeSRR0o3zc/Pf/7znweA+++/f+sL0AzDcByXyRS7C24pFhcX/Q8ilUpt/bc0AkrpwsKCJEkVLnjdsvj5PABAVVWO2yL65xrRNI0QkkyuJWXulkBfTbTvZj6do9UkBsa4dKF4ROVV3HNyHJdJbIk0PMvLy/4NmD9Peb6bs3YopUtLS4IgBGbzvoDQdd2XMmRZXlUqoHOM38gLus9ALEBvLAghnaurP/I3o+2fruvYHVatUH2uBAupa+5nRk5Lr34vNZEqXymSxcNP1pNjhSUZeioz+1huNuN0f1qSgpfhx6yW6tqGyivrXkphihcvqzAhy9dksyuxpYZhVK4fcRzHcdyFGxqwZgzDOMXtmhb2IgRASQ15LwMnyu8GsOxVC5smz02dOtLmvZA8fXgWeU1cHyz2zc62Kl33npvI6yIam9sA2gBABPDv33sbaweWTMydidCnlM7NznliEgAczPorlwtdmF3XPTdz0ev/OccYb9OfGUze37n0UunWIWVH5YcaPtkXplVTOHMjz1KjY/7bq25oBRBC0m5w+ufokrUAACAASURBVL4IHNviuK1o39TP3N7r/bhsNYnMdVjPDyt35oc1hBBQj0JwMHJZZmh7LRoGgE78ll8ySXtq0JBHWQEZCBHKpkzT5Hk+ZfcBgOqNipzGEMNkG0R32gWRrdhlpbD7VqExgyYkFOxmzlG9S/+uiTPjygd1Bwd+v8pmnqAUfPV5gevNOGfCmTF43fSN46lPdi894iFpQPmIoWkZiVRrb1dbb+erDam/0aE946vPAOCrzzokPc1W3REAOJL68K6lp0rvRSR3fubI81C/N1Nd6WKCUpYW52vp6uZKF+XeWICOyZNMJivMznJBgxDayqpu4UewxZtaFl9Gv9CvAgpupS6aa7mArwKjysODN1XQQqs5/KpuxlfX7K3RJy++gQsu6K8JAFw4A5ffzgtdgN667+8FypxyKQC0DP/zwswYAIyw+9Z/TJ2pX/O+spoILI82elqnAbTz3v8uUp/zKLCQHPgfWjbAwzFms1mgrYHlIl3I/+95XuViH8dxF8HSobXhOI6madmsltX0Gbynwr006YpNas/owIE274XATTXsKRj65y3yqIwQahEAChqTmzili0kAwMS7dunJRInoeW6Mrggh6w/VEQSBoTbQ4JATSV7FxF7j8k/CNuk4OMFaEaWpblfF9ORo2I/Ee/yHllDw1Jdjb4m1jaW0dV/uRZoKHlce9v8R6WKdc4hhGN8Hg2XZpDc8TC4jq/AkXIEC+OozFDwjNaDjLDgu8Au0EQEQvhoAMMZ50x4HJyymGgBcJA2I9wJAYNK/LK0xaNTSKISICYn8dS2jpqPMrxdWEMlCl/G9JjhcGnCHECr7vUNAl7lOAJiV9uWgepy/Zky+9ZRy5yK/85RwIwAMq78xmPioaZosyzK0uGN4uHgeehba2KUZ1Z0CAAogesH3CRi8+rkX64/8tfv6Xy0vlsmQGUZ29TuKmeAf0Jj3IRjjhYWFxXXgpxuNiYmJiYmJiXlfEQvQG4zauNP/p/bIlyilic796z+m3XjnmvcNW8llMKGhQ7O4c82nA4DZvhdVOhNRAQOtGvryhe6efiHCpncFliNw1ya9bcG19ucFTdOWUXvZai5lM6fHh41lYmxkG/t6RAUJ57QT392MU68BSZJUfWXOwxw7Oa/WAYBoaTdl/ymNplwPUUpFUVQURZIkfzmqIAg8z/sR95vXsPX3Z8GbH1bu7ln+ZuBWsSQtVQSyF2x0CwASOTNjFDGrgIGsZ5hVZ18J27TbfjZskBekYAug8w7CeKH5sxEVCrP5ZdxjiiT4iKJIAS9DnYMDLo0COkJuKiw5Jd5uo/JvgoKWMmgCALr1J2olvdt93sErs8U9+mPt+tOiO9Vpfn+78fgk3hM4eaSiWQmFuqJTgGFy+Yh0d36yZ0r+ICsGTEhXucdKv1aVCNBZLXeSXjGQfLgz+6QEizlpe45tnLOUIW/njFOTzWbndSar5WRJ3Gl/vzX3o6LdHcKcUs5YKh+H/VWL73KndWoE0KWFzsH4yO5M9bt/ubgQ+k2JQFk+HFieY0OjnDPNPWs4UUxMTExMTExMTEyMTzwDv8GoVY3+PxjI8Hu/6Lj0hnncVkXWnsLIASGz1nyASwtztf3/w/7/2XvzKEmO+t73F5FrZWVVdVd3dfW+d8+iGc2MpNFIQhLakEBiEdjsYJ7BNth+2H6+vn6+5+73PHyuZfCDhw0GjPHlGgxmEchoAe0baDRaGc3a+75vteSeEe+P7Kmprspae5lF8Tlz5lRFRkZGdkVlZX7jF98fUiwxqMIGT1LFnSu0l7znQ9UdDgBc1222XihZDQF1T/493vcHVR+IUQW86D8b4UCguvDYyybhwOZZQX1hOlakAgWYVt4b34ZFPZTSFuvBkovQ6vnJ4cmRltZNTS9tFfGGWHJq1nGc+VAzAITT89c6958gt5mNu8SlSQWgSD5lL1XmdvRqk+MZIQRA7MICVva3jFI6Nz3urg6HrLG00GLJTW3dezNrviil+bndAIAApoC5rE3FP/bJ0bPt3RX4fmSjOjO+5QQ4DG5++lMPnrt4bypCkdrJmYOt9LVyKvdq3weAZdpCxPoz6HZZlUfpPQihBvPFsDuW+XQQ0L14g07aZpw3+ii5QE4HNQCpNvPxFa4bofPzHwJYrcYTgAAhAF6x3KAEufm1ijeOAHbh511d5MACgCTXbtt2oUWFqj2ahA3jFmNcMkshABBCEin9OL47rAh9a98GgMHg+ygXTKZSABAMBgNkqT15v+++GOOUW2uhoEjTb9Dbr1irZoYMAak98UX3hv9e6XrJYGrAt1xxlgDAxKpEci8y4kXsCchgMBgMBoPBYFz8XLzPipcoUpa7cf/yj3X3COp5Px34m0L2kdP4ChHSAbrGgcNTg4dcU8Lh0L2dVfUknUrGzv4NAhBpWjTTg8ot3e4LJV39l3CXmuXg6bouIcRbiVzOQZdnh1vL655Kl8fPPBXfdUt51RlbgCj5B2B20sfOwFtkNVaprscioDOY4O9140EpjOFbmxpbtuPQ87MT7ags15QW61GA39uOPlRBb0vjs5MriLgNiQlXrXtV/e3o8mtXLnwZAZyhH7ggcxubXBNNKbW5WkyMQn7BWirh5eiYHX69fflHmZj5mDsMBsAroOGahfBb1XifMvAN32s1BgLlZ2YB4I05gCoFaJ765FmmALiA9OxxkS9tqem+jQ6+jlBZ820UMBXrloW9jpnKXBtTsFeWr+qzH/RSBwOAC+Jw8De7tPt5mqsRZ3ApxyGfv1sA1pu1cU3EGR4m13Tj9RQRmU42Wi+U43FIqY/Joqc+A8CSuF/AAqL+F4o6540l8W3Z5kuyLJf/c0Apten6d6c3/WMASHONAtXEZKLIXp2pn5zm3z4ael9w8YW9mr9IXQ4CNebH34g09SdmzuqJJUGU1Oa9wVCkOoM8b5989dlBoshf2tm0GAwGg8FgMBiMCwsToLcYjuNSXF1m9bR97O+U6/54qu4DrUu5+dZd4Kfd/tbVX2YXTqmHeZEGaIICAkAUoLOnAvlgdXnRmXgmbE1QhBRqZD9+9WpPJbm4IwZryWSRFijiFk8+jKO7gJPlmUdqyYRXvoQ7rcbbog0lPBCllZfL72279dzUGbt+19vK34WxGSRJMogiYx/X5n7xeaAwoN5bvuiwfYGolyK2bVPOXyYySHA+ePc2qc8AENZ+CeVNBEhYn1laiNbFtqknldJor2lqvcQ7HekHgmg1cxaNzotj/IFCGrSvruSljEAIbUa5TqfTgUDAy95eZQu6VSukKGDkp9JqWipKG1ZOPNBh+F8nFbLasfrTjYtVNoVIiimARaCUcn4h2CUlPS21Jkr+Ky0uBgRRnJFuaLaeL6cyBVgW91FCeJ7PHleGYYyG7pXcZQK4xhlcEA8mk8nT4t2iKEadk4K7YnINBAkEuGbzOQCYkO6osU+oZCb7r2eDJIA5Rg504NcBIGgNz9E2DmwAIBRXkjcIAMCgqpxlx3GC3HrFxrhsG4Vc1+0wn/DdnScpKSBVl+pTUZQQmcVkg6Vy0J0tuaNAUrIsAQDwgaGO/7Nj8p8E1z9lYkmaJr6DJ8h5P+yF+w0uktjz+5HagssRLDEKtn+Mvy8rgd3V5+JgMBgMBoPBYDAYzAN6O1gL9GReh83xhROPxtp2j0fem11nEXXaCas1mWvb2pw61rD8UmjlbHjlTHjldGTl9Oz0RDkHpZQmXvtufOD/bTFeDpH5sDsnk9wEPiF3rlYfHsZHirRT7w62WC82zf7vpqlvZNRnAKgjo03T/2i+/veW6RMWl0FElaWka7GOLp155CJJj/ZmYBX7z2cgBAigkz5ayDQ8n+rUissV27bT4J+WDbp/J75t6jMAqLiCbFo0NbR9PakUGZHDy1/ZS34eRBs014g7WiQPar41B8dxkiQhhGRZ5nm+6kBmQojjOJvJfey6rsHHCsUIYwSLZ55qKqA+l8MqbvItn+Gv8C0nqMo/BULILTo/PRu62bfcNtPVHXHHqOm8wS1vxgYD6Ul9b5f+vZgwnzPtkUwmFzVhWeNG7N3JlA4AlmWlUqlxo31evnEJdSe4zjSNnlU+lID6Wvv4lNOTvb8L/CA54oDgqc8AgDBCSmMrOqHTUEXq80DwIxQgW32mAILaOBh4f3a1Pu17TfoTAep/rUBAAKBqg/Vm7Ykm7elK95pDu+KLj6rJk82JZ5FrjDd/tLqjw/rKgA3I7lrsjf+5sjhfaBdTbi60yTdFs6OyDISM0lBKXdc1TVMrBbvvZTAYDAaD8SaECdBbD9ewL/tty+Ij86NvxLuuXOj6YxcwAAyhI9GV1yVSVrBP29kvrmWla6eUppLJxbkpTdsg9SZf/07M9E+qk0O3/qxmB5eqyjQYpnPBU/dpWkGJgSuwwrcIzdZL00OvVtEZRhWI9QeLbYV0iC8r/DIYDNp2rl3Mmxxardi3GVzX5VEFH4TijGxfZyqltaOrUBI9ARcMZLZtOxjckORNkiTDMBzHSafThBBKqVJJur+cxqveFwAwxjH9mF0gBx1xndZSedWKU0P8YzabHP+Lf4KrXjUzcTFXGZP3j6MP1RaYhrlo4DhuTLqrzMqeFlxrn6iX06qq5s/P+apIu8z7+7TvNbmv9WvfC8OiSuZ24+e8TTYVR8nBIXLtHvxMtuOWQldajMddxA/Q64pI/y4Is9L1BLjRwLs8Gb0t9VME4J5zwJiieweUDyOEevQf5uwbQf55I8fkd5yRPwgA2Zf0fCsVVVUBIBAI5MzQGIYxKd9SqMNFiK0c482lppUn5qO3dE9+oybx6qvRTwyG7xprrD4LRQ51p79UaJMR7Cy0Kds/Z01cd8qRWw5tVa8YlyuWZX3pS1+65557du/eHY1Gg0Upx2OdwWAwGAwG4zKDWXBsPWJt7jN/y9i31mL/PRypsQ/8p4nXHupe/YXvjr4goDW//gK9+XMAMHnql12Jh+RzT0cE8HjwlqZ9t6eSiZh5qvw2FbIS0FfOBm7vJ8+Wv5cHBlJz9vPmgf/iuxDeRCGVLuaXr0E8AgXTHnbrDyWtfUViHhlbRVANTcwfbsPHClVoIi+klbtzpjfySafTzIIjh+LeuNtEIceJOTgYB59kaxWp1dsNQmgROmMwmr8pZr2c4g4WekT34pQJIZIkZadWo5R6guBmgss2GZi2FLhqlezpSvl42jauPLKZlqugqa36nJMmjihkpdDWjpUf+Zbz1UbR7iQt3Vcap56WodxgbZmstpmPA4AL4rhyJ0WCapyyxCaNa/RmPrIrJ5PJ49w9GGPHcRrkzhbzmeytCEgn9s+CiIGIYFyJH82ULNHWOnTeMmtWvDYp9AJAxB5s1x/yLjgySgPAcPC9sjnR5r7QjE4OwIG48XyhtBM5WDiUdBTL0jx9OUP+hcU0TTWoRNMvrKhHKHC6rntfT0JImm+2UEikFRhozBrtcTjumZUllV1JdU/TwoOH9KMUYKj2s0Ntn+6e+BoCIIBLJq4oAk+t6VNP1e+5JX+THKwpuTsFFLHWU8sGgsXmYxiMtbW197///Y8++mjpqgwGg3FRgpSGSqr7pwpnMBiM4jABeusJ10RzShAA+vU36XV/hBCign9wXBEEok+/8YuQOdDjTGeXYyCd6Sfo0SdErmJzQgTQrz9uItUSQyFYqnRf89dflw98On+TJXeA5hNiWUR99hDO/B3s/78q6gajOhq6b3BHXvHNiAUAPHJa4NVRYR8LcK4IhBBHL8CtWKE8kL7q80WIG78D5v8hvzxMxiXpSKGJENM0vSDodDqNENqqiRDPxANjzHFcdeFplNIa81S96bOkYwQdUfCCSiq72G4GCpATKl4Ra/V31M76fDRFcEDkuEvjpgLt+axx6svla9AeHFhdxs/W35inASCNG6fVtxKKTNN0XZdSihBCCNm2jRBKcy1nAh9CCPVp3xtR3ttsPImIPRJ8N6W03n5d45rrzZckurYi7Fnlezv1hzA4FIACHgp+EFEHKEk6/bbYCADInHNBxakxB4QhdLiVvrIQvDWq/WqS7D6AH+nSf2ZRCQAGlQ83WK+E3bEyz2hMfqeVSoVCIaBuWA0AoERK4zjOu/4LgiDLsmmagiAozkxb8nEAqE8MAcCa0DOCD3qB0pqmjajv2ZX8ZwAg5zJwEuAxuL46+CrE48bxrA+DEoqnG97TOPsT1ZzoHvu74fbfH+r4bOf4NwAhoDam62o4LcOFPIf65adc50Yuz5anrqGRnEK4hEyfmeznlKBatCbjzc5f/dVfeerztdde+yd/8ift7e3FgypYDmcGg3FxgQDMSu5RlervMBkMxpuZS+NZ8dKC53mdC0vuhuxPEWs8YehyQJHrOsAnRBiGWj/ZM/mPhdpUkqfD2F/DRQAht4S8WwiJpiQzNazc3O2+UNGOETo7Nna6sSPXUJiv2wvaU1X0RIb0yNhAc0dfFfsyKiXV9KnQzD8UchoNwURAurKk/pxKpVgQdAZRFGXwCRfdbpdHnucJRRiVexyX8hdVhGptbRQK2LQWfz5Pp9elQ9+A5Up9nEOhkG3btm17GQhVVXUcJ99suiQYY9f1iUl3gesyn03g7U1jZqCQjQI6DqdRjAIN0YXwJlqLN7XSWVRmIK3HdPiOuN/KmAuCaeiJubNOap4Clev71drmHD2I7vrD+YEHG0hZ1lWFCJLZPm09w7DO1ae5pgBZXHDbbLXLJaC482kcQwim5NvW0o6rvsMwDIlShNC43acIyoRyN6U0lUqBSc8E3sfzvOu6GCMEiALHg20LccWZcl3bFuIAkhtoRQASxrpW26f9CwDU4VEA4KnOgw4Avdr3KvrI6qzXIrIim0uqM+7FGp9VP0wp9b5ftm0TQkRRxBgjY8MXNWwPScEjmYydhBAXiRy1PEn3DNzcBsenIu/qXft2/oCogTkTB0Wy/hXumfj6cOunKOFnG+/tHfsyBtI7/ndDbb/HU2Os6bc4N9065x9uXw4iScOv/oPO1aR2/24kuiG2azp8U2vimUI7AgACGAnd1pV8YiXQf7FkbmVcrDz88MOCIHz+85//7Gc/67tAkMFgMBgMBoPBBOhtIS02SXoip3D59JPNh+4J1fmnvimiPgMA3SK37llhb6N9MqfQRJEqmmpd+ZHV9h9yhJ5wTdSZELKtLTMsyIcdEDShtSf5r74Ntid+ZJE/30wGMEaZyHIg2fQ7aOpHYc5/rruHPnhKfmdJAU7X9UAgkNEg3szwHPJdKb7qxpVtfhZNkbow5zep5YfGd5SbZXJHKBRoPCXeUoX+m6FSGw1KafbhUqkUxjgYDGZk7jJxXdeUm8A5nlM+iN6yCx4Lk7kFrifmbk0eyHmuz8JBCkiguuouKHRJpgmZJkJkDmBg/URsu+rMchjjMfWuzlQFtiG17ReFT65lmtrgA3Fy5rz+Pv8inYep8LtiHQcyZRjjyK53Ja07EysL2Jixl6d4Ny0STXGXBJJClACCWfkAJwuNeKAcVTdAFgNkEQCCMAPaiwR4Hccc6eqAvZDgu4JBBACUUkKIgN2QIoTtU5iaCaGvXk5bfL1DEAAEYbnGOBUi684b4/SAipfnlZuSySSAEwgEwmixWX8SIXCoz09tpp8UIAX1SVofhOUIKpiLL+rkmnc1m89OSzdl3noZ1RS63Eo3jGoEICHDxNgLgtZ1fU6+IWQPqc4EAtgFzxDAIeMUAjBBWZP3qvaU4p53MB+J3L5r5YHM267Jf1yovZligQBOBzoCxnTPxNeTgR4HS9mJNKu+kgbc1cCJvx7r+HRTe2+mMHbw3fBMMQEaALqSTwCA3XJT8WoMxsmTJxsbG3/nd36Hqc8MBoPBYDAYhWAC9LZg1x+CiTM5hZ2JJyy4RxClVbmrxvBPBfZa/Sf2L38fADiyQXzZKgFaIcv5hTatZiUgB87S1NlYW24Q9BrXUecO5tePGccW5GsKqc9eg6uDj0f731ZFZxiVIssB2v3R6dHnm9HL+VsRAJ+3Zjkf13XZMlIAwBjHqb/lxRpprj6lXXmsCgfD5LFya6v929mXiinkYU2BbsYEpiIDDd9AfkKIpmmyLHMcV5EMbfA+Yc4t1ropR6FlB4WwQcZgc3n24sPiW7qt50q6js8OHmvbc0NFR8ymadcNxsvPlulTMRm6IyZJVR9rq1hanG+c+UYoTy9GAK2Jf5s8uxLrvyW7XBSl+njr0gLfNvGD3LYotOgvgw42CizVHmhCZyvqCQYnSGaC+s8AIG4dBYA0bubAkI31X2Ed15tIDZD5RusF8Evfa6GgpfRN2iACqKoadobj1rEiUngS6lagQ4lfEQjVrybSvxhJrLg8AO0Q9Tuk5zjkPGnedEAYbse5EyTZqO4kplaNglwuCIAIITHz1ah2gkJuOHxX6v4z6kcyPjkLTn0y0Lor+c9zgbdQStZMfpf5rAYRBdYsUKaVm9qT/ybC+mzlbvp0dlsIaMPK0+uvEV4NHSSAE+ED9WsvLEa3TPxtH/taKv7/SOdGKUJoWe6LGgPF9yLAhRu6t6oPjMsVWZZ5ng8EAhe6IwwGg8FgMBgXL0yA3hZwTQdM+JSvra1FIhGj5/1w4j7fHQ8u/i/fh0uKtkbmC7uz+YVBulpda4HVY5AnQLstd8G4jwANACFrGAAoIBPXyH7prWLmqy4wAXqHQAhFO99ijJyWsY/A1EkfPc3fVEgfzKBpmvc8b5omAASDQcdxvNfFD73JVG8XFUElECb+pqtSTed2H72+ZTcdf6ycoCuHCtG6i2speSGXzFrn7BJ3uDojZqjcgsMXLywaYxwKhQghZZpN5w9sF7ggXV9qUOeOLHPtUXfce0uAc5Ao0oJrCBC4+erzMtfRZT1fzim0aM8DVC9AAwA99O9XX/+HGjJZvNoa11zfd+GjRJcW55tmvlFEom01n5tZ3BWtb8opjwx9u0izAtUblo+martUXOVvpUeQnM/iQIAbFW4zDAMTbMtvazNyc5fZSBmR32XoBqVUwnaftR4vTAFG+Le17zpMKXEQAkAIIcuyRFEM83wYYHhk7AdDczrB527w0JilfNO607NQHjAPBPEVdytvtOE3fDs5QK7vS37fgKCOo9GrPz1w5uSU3fy0s3/eET4h/0SG85kGEdAAWdZRwBvzrusSQoZD7681X1sMXC/wCUiBAmsEuBbjWWTkfiiDoTt7kz4JmVVtaLnpulVHFikS9BkA0MXGgOVz61IpCMA49VPp4AcyJWTXB+D1zxXfy8GyGmIZCBkl2LNnz8zMjGVZ0kUwD8dgMBgMBoNxccLsDraFeHM78fvbzk4MJ059315+Yy6wv9C+aOM6UwpAAQiq5pMqU+ELOz7iQs6+A5yPuFDrjuSrLZFIrYb888vLZBkAVqXdCa7DtwIP1vJiwcXCjC0HIbRac6+vFCxCWpZLuzUQQkzT5Hk+FAqpqmpZVhFlWVVVVVUDgYCqXj4JnRRF6SM/KbQ1GK4oo3Q1cBw3RG4tp+YIunO7O1MphVYrB8lM1d4RUGF+p+IyNyHEsqx0Ou2ZnpdszTPDhXOXbgowgQ5ln6SJzotZGNyM+uz7teHBzi/XcG2ZPr8SrcxCJB+MceDQ743INxepYyNFPviZC77w3HGc4uqzhzr7QM41ilIacEqY2GCgysrIFs6aYXD3mP9aG3ABYNUO6Th3ZmhSvj2dTlNKa2Wzx3zApiIBGJDuxQf/a8++GwRBEEWJ54WTZwe/9PzoV49Nf+n50S88PfiFpwfvH7d14nvDsP4BpQn/g9TBryQ/PEe6s8+IAgyRq/vIsxTAhOCzzo1feHrw18t0xI6OWLJN0feMd+X8ATq0h9WsRJe6rtsg1ViDvWvfcbmwgwLemfp+KK1crhtYhvaZ77RYx3mOS4T29ox9WbYKZrmo9AOpSW2I/tbTKSRJSJJ0Of5G9IO+S800qbHCgzDejNx4441LS0unT5++0B1hMBgMBoPBuHhhAvR2kZJac0oIcFcKj8bwWDu80lizMBh7T/6zk4vEidCNA7X3DNfcOR86SKUAliQsSSFYrOLJ10Bl5aBSXR/NN0dL6HOfza+DgeqaT0ig0/e7RQ5Xa55qsF+zsH9IEZor4cnI2Fpqo/VLxH8+oJEeK8eIAwDS6XQymUylUrZt++6CMfaMDlKplK7rl1X4MyoYFKkTVZJ3YkFuW8+Vmlviy77sxNs7e4vXuSAkaZ1veZCrXjzVNG0z+nUOpmmWP2Wi6/qg+gEN15tSHQoEUCCgOjPZFZrcE8k8tRGyLrku8BqOZsotyM0znv/tSePaMrtXHc1X3DEZeIvvl3aR7yNX/cW2Hr0cKKXpMz8uR5cP0QXT3OBwNTc97qud29yGvzwCOmZdsale5tFpPBiQJUVCMlkAAPPcT/aieNDBobAqt4jjHcYjCOgUvQL2/6f+Pec9rBPJ5NeeO/vYYpXj3KDcd1I3/MJen4A0aWDO7e4hR13gnqHv/aZ2d4+KmkVnwhIHrQAAWBQvE1GD3JHWl/jnDn6gTrHDQVlVVV3XB8IfGwx/hHNWeaobeaM3QwCSy1LBK1Ld2ou9438b0QaGOj47UHtvoWoU8K9rPlT+WQvUSCbWr9jTw2+0T/y991qhq/vTP8GS4M0eZbPW9I7y22e8afmzP/uz1tbWP/7jPx4cHLyc7nAYDAaDwWAwthAmQG8XK625j0zj9Xdkv+3jjy7Gb7DwukMsBRgL3cyLuN061q891qM/HbdO4XN5zQIkkeRyVw2XJEBzEyH6kklGXwWW4SNAS5I0pP5m8R2XpSt9y1VSbjo1xlYhtvo/YIdhSpErdunJdz+QZVlRlHLsCy4tEEIRVWylTxeqsMJtsVxVBNz9fyTdaKGtq05c6fngjnWmIuaQ/3KQFvPJQgYdJaGUlh+QW75fh5dvrZyjT4XulvG6N65KFnIrIM6Fdd3QAXGJ68qsmDFRME1rbCLQc4q0lGfBLECuZUfQz9EIHZgrqAAAIABJREFUABy0ZSknY3vvmu347JLQa0GAAhhIXRD3LvT+aejAx7fqEJvBNI0GUq5Hs762Yc6VS0/5VluI3pZT0pF6dp50VdG9IvTr3+/RfoQARvCN89IRAFjh+1eEvb3p7/ZqP4hZrwKAA6Lacjg7rv/k0Ng3XplLk816c50w1Iese3Uawq7ZSM9OoT1/q330ZT2CgQo81yMZ3EZN/xS9Oq8NWme90ZH6WW/yX/oT/1uVEUKIULqm0XnoFkEfQ4cI+PfTDpSYOFHMSUopURpd7GNrQICbbnzvFYn7yz9fANDSSQCYHXqla/67+VuHw7dnv6UArRflvB3jYqOxsfGZZ56ZmZk5ePDgX/zFXwwNDVmW5RaGidQMBoPBYDDehDAP6O2is6efDG2II27ncjP/NOBhp6F+It2OiRUlE53W0cwmCyki1bIrL/MdYXdDJN28sKvBzk11WAVlrub2h9J0KqmlUxSoKAhSQJUkCWPc0rlr9uTuRlJwNWKj7u9hKkGysixdjE0jSdKc0xPnh/I3tdOnT/NvKekEnQ1CyAsXRQh5O1qWZRgbQg6r9va9qFCDgR7y00JbKUC45Zod6wxCSOj+6NTYiy1wNLucAkzhm+p7Dl1wh4RCRJt3w/RT+eU8mKIoWpZfdrZSSJJECBFFURAE78SLzH+U/MtkshSWlKoFQZBlOdusQyNhheYmBAiT2STXEHBXprgrm1efj9JFCnhB2WMEGmLmyTCZBYAzyl27rMd9jyLTpG95PrPy1T4pEaslWh+D+t+iABYAAihrfc1OoQ/9LFJ+5ZXJ2vj5ZR+BpL9y3bzwb/mFwcQIrcldIbR5CKAu8hwYQAEW+f2d6fu9Q9hUSKAWqee9sfD58xsan3p4ckOKTgSUZnXquihZThtnTf8EqNdFyQvL50fyGVPdxe+uQTPP2dcMW+vjNshTQojOBayNYQq/tuLXFHW47U39EACWUHuIznNgp6E2geKLtLMBfH5fGmDARrJAjfxNGfrG/3ZNvYJSvz85QqHUGY6USDmQA6WgpZPtCz/y3drgbBgMDlakrVtLwbi8URTlrrvu+vKXv3zffffdd59/opcMhZaLMRgMBoPBYFzGsLuf7QIhZOKITNa8tyZWZeQjuvHIooLYYr06Kl/XqT2XecbKUZ8BoM7KfX7bEvUZigrQ88p1DdoLRfaVZh6pgemcwEsN1c6E7qyFYk+VhRDANCqJXmRsCWrnXTD5lfxyEZKeoFZ+U8nkujrmLce+zPINZlBVtZUUjH0GgDm6r3ZnlQuEcH3ndWnnmtTqvJGYQAjLkXY1Uh+rxBD5AjD5b4WW4lR9HfCSB1JKPf1aURRFUTiO0zQtf/LDtm2/NnzwJAPHcbz/M+WhUMhr1jTNZDKJMTa0Fe/XdZXEFJgAgJnQrU3JJ8/vQuZPCnftWfrB+pkCqddOTEm1Mln/+uzSfg4F5AmFLJfZYaHxYJk1L3UaSQW/hoRsGAMoL81jETC4qx1/khx7vg1e2cJfKXzuVxgB9Bk/StMaDplTytvbd11bf67OwNDwrOZOpNwZa8PA4BC9u5GmHRrA5EQC768BAHCIBH7C7OFaYubN8T6Y7ndhV3bJtVHQNC2qBL3UhZnyVVewQBZL/bhH6TgAuCAYEOomL0yG3tmQHBoIf6w38Z3s+w0MdFa9qi35y+x9E2JbyJpCcL6XkdQJ36Ng6kRSb8zLVzQY/hV8CcgB/tQ/FrrtCTkbsh2ONLw/N88yg+HH2trakSNHzpzZmttyBoPBYDAYjMsSJkBvI6Px9+2e+Zb3ekXubYIZ32oCbyMLuuwXLCGUQPF6a9C3WsidM7nQ5pNK5XM6/BsBkXYmfaK96rVjRXYc4a/roj4VFLrSk/j+lvWPsf1wHD/t9DfzPpGAffQnA+q9VRhopFIpRVE0LXcqBQB0Xc9ElV6iICABKKgDEoprum4vtHVb4Xm+pr4Z6psvyNErZX5uug37GyAAQEWh9zlk7DIygxAhpChKOp0GAJ7nK51ZAQBBEDxXkHQ6ne0KnZl08aCU9gnrF0bXXf+RTck9kCVAnxVu6159dL0+AABofH2r+Up2O7obSEhdcWdDrjYX+EzewpJE63zMpi8/Eom1is6TwgYJ1pLioJcrG823faRRCSp77jTIHYauzY2fCsN0COZUWNnUWiIAkwbO0BvG7fCYKbuAAVGaQFdrJ45c0Xf0xMBLCZGspyjOvW27K04BgBopFAyO6Ugg5u6oGBPcq0PuqRSvUQwAdby95Ahvj1nLNv9Gnmu9mxfSLYGrAcwYCABhoCSrwgm45RA8UvxcvNo82DEYBYCQOz0U/mBv4rv5fyKMcw+tOEtDHX/YM/63qLyZSz16UF9YCNgbbFUIYAz+i6m0+bMNTsGshhw4s4F9cf0N723//p1bxcK4pPnc5z7nqc833njjJz7xiVgsVjwXbvnWTwwGg8FgMBiXDUyA3kb2XnkNmfkWALiIj4QKCsc1eP3BSQS9no4uyLsVayFIlvJrCm5K42sVUjDpWRXMyld17zkEAIvHT9a7uUHWuEBomAvcEH9TP/XJTLhJ0lDDs/DnHQchFGy9BWZ9BGiHiCKX2HK/eMuyCsnTlwQqnS6ydRC9o4MN4zKIr/ovhAcAE0Wq898oBKU0nU57vhwA4DiOF54vCIJpmgBQKFrfC8T29IKM1lxEvKaUajjuLX/B7nqsaPfitykAQVJS7HRto3f5AQSwKnXVmCPeQHGVGnA0grjx8F2daw8BQIAmA8av54VdQVgO0nWXZw3XhohP2th8BkL3tpf1h7nkWZyb9hWgk3xHyBnLL5eUDdbDVu2VsFpW8lsLBxtb1z2gMcZKUO3ac3h9EwAAOI4zNXKqyTkqQxKDi8Ep8ypg0cA3Uu+1aNZlliIAeDEhvfircYBithcPzWIAuDMWOLqMEcCMI/a5rq7rIYCbopIgCITQEZ27QSWmTeMBsFdLXMzf1USSSQ0AOoPobJKYdEP9l/T6QxWmVm3Wnii0CeetDOOJ1jv25fIb75j+jk+zQGheLmUAIMC1rT5cvEGHX0+c6AIvMJWQUR4///nPeZ7/whe+8Ed/9EcXui8MBoPBYDAYFylMgN5ebCRz1FqL7a9DBeUqBa1ZEBDP5ZWKuYPAwYR8uMYcU9357CcoDFRxlkeUm9vMYzytzPcwmyTX6HBBm68hLTfXRs8t8O14Jwx/qeS+BPAId6QHXtwO9RkA1mpurduOdhmlkOXAnNMd54dzygVsddInHPWdiVTFniqapgWDQS/mNAfLsmzbDgaDhmFQSstM73aRoChKI3200FaDqB09fTvZn0sU13WVvHx6GabFm9z0FniF5/h4WJaV0bUVRUEIZSybHcfJMSv38FRpjuPKjJjGGIvugqd+kXPJ0zC1Bus/1bz2iCHGQ6tHvT7pQrTGHAGAydD1bc7rDhJHmj7pOA5BPKbr0d+e1dKofCTuDgboWkLsDBmlBWgdRdr6ryqnt5cBQTLrW47AP4I+HN/w9axvbKEjpW2dKcBy32cKJvoEAACe5zv69gPsJwAEgFK6OD/DJ08E7OkArIp5o50CWFTRIfyv6Vs89ZkHghASMGhu+TNY9NYYFTC6JmJ76Tc1bf1ApmmapokQagSwLFESRUqpgMAuHFscE2lmXpBSatFcBTZJ+RVoqYWCCxe2FQLciti1GugRiEEBYWJErPE1sd3gon2JhxwkZW6NfP9884ErmpxT+eVJqVM1R71dapxJr3A49pu78qsyGH6cOXOmsbHxk5/85IXuCIPBYDAYDMbFCxOgt5fx+neJdLEdnyxebUnoabLfyC5ps18FDAQL49yhDuPF7E1d2jMmF05x9TVulU+A3KE/ELPWBlJKFwefjRtH57n+IFkM0mIGo5PcwR54sUiFzUABapqZ4+IFQ2i6BRZyBWiPXvqzM8H3+ErJxSli4+tFpPI8LwiCIAg5PgYXJ4FAAACCeBUVFsyd9k9colmrlpfmYeUlFS1wyNZp1AweqG3o2r6VwnMzE10FNg3Kv5HSLNicp4FHkRHoCW2KoqRSKYSQ4OfZ7VmZAwAhBGNc5kyJcG588LzrWfEigL7FbwLAotuQaPtY78j/h4DGtddng1djAdqs1wHAwGHHcXRdn47c1rr6i+wGO42jAHBaeXtEG5/AV9bhCYWsFDq6C5yx5/eVN00MftTyN9BQHf+fSFGSs99yHJcUWsJ2id/T8c4/bIpVltMRIRSLN0O8GQAIpfOnf5jJxTdHu39pHpywZGfj4hIHMFCwK5l5eWcjsSwrrRdcLuDNoJimSSkdM6Ui6jMAcIiKopgZ8xR8bAS+pd1xT/DsLvqrCnpZADntP3ngy1jwxjbr5Xo6Vq9tCGyPWAsWUgCg+MQ8BUDY/6ZXcpYy3xaVLGpcbcBd6dp3bfl9Y7zJ8W5jgsHghe4Ig8FgMBgMxsULE6C3l7Y9R6Szf+27iQCHYD3GiYoi+OXBwkBNvia/XHITopscC1zfYRbLEOjLaOCmpo3OdPaJr7fSBQBogCHAMIJu6HJ+6bvvIu5qg9crPWL5IIDlkRdivW/ZvkMwihAMhqYWDreAv/F3Axwf5/ryc7gVASFUMsOb4zhe5KmqqoSQi9yUAyGkoqVW8lyhCuPSu+M7m3twS3Acxxn7QRM3n/lNUCANxoQzxs8E3tXQuC1eDrKR6/njoeEG3XQ3ExTvjSXvdcl2vApe0sL8rQghb8xTSssUoCVJEsj6VI2MNszZzHF9bavPzcg1nhmuyUWa6CnPvsHiwjpX5x0rLXf6ttyYfClijnuvp4JX1/BLQepj1pTmGqTTX3MBDFybjt/Z0NRSss+XNBiR8qcqprkDdflzKlf+Lrz834rsNdbw/qbWjmo6dw6EUGTP+5OnvrlKGx7Xrlh2xc20luGtdY6m6eUMS8/B/MxyiWmJqyJuJoAaISShXAsOb8uD6V0zct1b8c82M8sxCfta7OfLrLwidnVaR7NLDKTKdH1Rgki1VaE1Yk8WaWGs4zNd09/03SS6G6Y/l+UeTYz3C1vzGTHeDPT39y8tLdm27eUJYDAYDAaDwWDkw+ztthdJltPUR0EGABPXZP7+cTSSKXeROFb7PosLe2+dAuaPCGiH/suBwG35myggB/zvgEcDNzXuvyu7ZHrgxRBdyC7pokctLjjGXZ3XLMgovd0xda36k6srPpIKY2eo67jeIP4hPLUw7MX/lo+n2ZVZOZVKaZqmqqosy5UeaMfgOK6VFlSfZ5y+eHP3TvZnS7AsU5r4eoTzMXbgkdNm3D838kr+ps1T6/h4jlOACeGWkvMWxdF1XcuieGXDMEKhkCRJ+QI0xjiTCJFSKknFrHgzOI6Tid0O4SV6zgyAAoqunURAm+fWM77Ohs5fZsfiH1mte6tnD0L9tPBFoTejPgNAc/rlwNronNORwrkGyGF3RiErClmJOsNtU39vvvrVS8viplLSqL50pXOoPXfmF8oBZfnAf/Str3F1a1f916b+w1V2biMvODf/IHloq9RnlSOqgMr5cEVRXLPhkTlcwJpinV0h4sU+eyCEcGFp/xWj/qv6xwfR9RX1OYMDQuNquaupKKAIzY2VtnHQ2+R10RWKBZ/OKFc3tRVacZHXN7FGidQWWTzBYORw0003LS0tnT59+kJ3hMFgMBgMBuPihQnQ2wtCKFVzi++mAFlC57K0c8hZ45rXX1PL4mvH6j44GPttCijjBOpLX/qxJG7IeUBEQHnwX40r1vXmPFN1GI/7VAOjA15b4HrXcGMaRTUUMSA0zN+gwk5Iw/HJy1wuuZhBCCXrfrPI1ioarKh+KpUyDEPX9VAoVOmxLjgoujUq1Q7DT/4zj4oJvu3o2eWlshLfVYSEfCyVKfBeSsCqKd8oI0MymdQ0LaM1Z+D5853xHGPKWWGNMc4I0Dyyx4VrvNdj3FXZFgEUoM18yXs9GvsgpTSZSmeOlS8UBlK50Z0IoEF7I7g6POP2uoXXM4XdafTqfb7x3ZcHC8K+MmvOCIcKzSKooYj5lr86G3lnZsIgxcdG2j/DX/9/B5QtW1Z/XKtmak3B7jsb3ZiYO6pvbYB0eb7koig2qNI7GkuMgX4VMuMEIXQmiXTqY8GRwaDcA+ldf6P91iQ6UE43shki13K+K7/8SAa6uDxH75A7Z/I1Z+O/7X1gdfYwEZTR4Fvzd0/x8ehVHyy/bzHjZEPnofLrMxh//ud/XldX99nPfnZ8fPwyvtgyGAwGg8FgbAYmQG879a17R+3zj8c69kli5FJuXtqbuWPtW/hm3/w3ZGt2NPoBBMTkowBg4LCvxBByZh0q2EjO35SPsTya/TaZWMNQ0FEhBiMRtBDEawpOyZzWQ48WqlkmFsgaRMqpOTXg7wLB2AHCkZoR1z+oTaBb6QFdnGQyKctljeqdpMiDpUbU2rqGnezMlrAw9koAl9aw4snvb+1D9ez0KPILrlzi9+ULwRXBcdyWdBUhxHGcl6gwU0gIKTmkEULZ8nG9PEcBKEA8ed6/yEZSQu0V6HrOQ4sL52U43HCUJNeguAXd+WPp4/nyXDYyTc+c8JlrvDzo7CkrV1wKxaK77ylSASHUuf9m+8a/sm68z7rxPvG6f9/SvmULGhzHPXZiwHeTlOUon/2l4IDeGkq8q4ncHkeGYVwVsgL4/Na3NzhlZsVECM2bqJxLcc7KA4Ogt6ipMqzY8b+mD/2T+dFFaC9Z1QJ5EB15jr63P/FQyf54JPmGsDPhu8kQ451L92fecmB3Wb+ckzdMSKxKPcJ1/w4hVP5lQRMaJemi+/VhXMzU19c/+OCDY2Njhw8f/tM//dPjx48nEgmtMEykZjAYDAaD8SaECdDbDs/zMjUzGnQSn/eRJIAXSPuE2c9piT7jiTTfMCZe68C6gWzr2sNdy9+ngFdChwBAJomMxJCjRAvUnOPLegKvN09kvzX1ivXEIixB20l0GwAsQ6tvBREMBdbKaarXenQLO8aolOYe/+RLHfTRSnPsbGYVM89fdCb1RR4al9W372RPtgRCSEthR5FsMJCpMR/HjKqpTzzmW75S3qWsCBxXLGazHHie96xgdF1PpVLBYFBVVW/k67pe8iuAEMq+zgfx2ih33Qy+Yl49MB5+60T4pqnw9YKEapz1iGYDR0gpLWJGurLI1oVg6RDgLuPpy3VlCcdxa6i5eB0LZG7v7+5Mf3KglL50dvRrL0+/mPIPf842Wc7EX++T03c1OKqqOo6TTCYdxzFN8/aG9U8wKlBESZkalhBQX1zBj8zi5xeLVdsTItmLDyilByJElfjbwmXJ3Muu8G3tth/ZH1wBH8/xNNT+mt70L9aH/1b70APpPS/qkSH11nKaBQAiBPN/RQjwAIBdE7m5Cybq3WEdr091LwYPBA5/2vsZQqjcO16u951l1mQwPP7zf/7P+/btGxsbm5+f/+IXv3jllVdGIpFgYSpKp8FgMBgMBoNxeXDR6TuXJcH+dzS++j+Ggzd3i79ucF7NlK9q4Rg9lXmrkkWVLLqYH+MOt9kvYyAAQBFuXMmNXMsPdms1X10Wu6LOGJRgwwMYx28qW1oS6kOwaIEsggEAdTBRRycAoJADtS+jcHUnvJxfrutaIKBspnuMzTBrdzcKwzmFCGgXPD6q3lFm5B3GeDN2CpdQiJBBgrG4/7zLxcza0kyg7PRtHfRxFzarDnuk08koKhjPu0nKtx3PJxAIcBxnGEb2CPdeZzxhSsq4pmki6fwletru6TIKqvya2DRV/x7bMLILKaUUNkzdxBLFsr9mcgYUZ3FusqFpW/JJXnBw30fp2c/7xtQDwBLqFPs/IG5iYFSNZVn3H59edCq714pgJywgwzAo3eAH7rruO+JgEGQ5pMz5OVUNPTyLAMCmsGwX+wvEJaDGhj+gN/JVVd1taaeNsn6Ox+3At+y38UAVzlWQKyIXAJJEWHFzbzYeta/ogSeLt5bm6mcjh3uTuZNVaaltuu6enplvhsxRC6s5HzsPNuGFJGlM9308Wr9hVYqPtU0eOq6pi8VL1WIwGAwGg3GJsa2Plix1BINRDkyA3gnCkZoEH+9OP2NqwRn16k7+1165QlfzK3PgdLgv21ie4na32a/Q0o9L6/DEKPlwtSjtyY5NCkVqYbrM5n0IwaIL/Aq0zuG+GjptQbCX/hIAGiBXuCyCr/oMAEtjr7TuvrH6zjE2h9j0Vlj0+RxFSPXRnwyo95ajQRNCFEWpOqHcZpTEbcJxHPCLr82RCy8VjJWB8meLeGRvVciWseq/oB4AvCx8m6Hq+z9JkkzTLKkvl2w/EAiE7PHMtTiUKjgvaAixybp3a+l0zkEtyyJYxuT8CpWgU8yDW+Stog4c6zjLZ+EyFaBFSVrt+mxw5Bsi6NnlFGAq+qH65p4L8lQwOT37bxM2qfBGq0Gwr4oQhHjLIjkDg+f5ZDLJcVxIEFKpEtk1PQxD3xcJvL5W+vSDHPFdEuW67oBRmXW1Ayjh8omiJ65TbjpwVbPun+B0TWyzapobhIleeN1N8jmT7qvB/QBAAdaU3fM1t/RN/33O7iLVZlo/0pilPlNK3Ze/WM4gWGp6D5v6ZlTKhz/84UOHKvANvwhvbxgMBuPyxnTJ4JpRut45VgyrTL1awOiKelXiLsVnQQZjp2EC9A6x1vK+0NhXJZruTD6T5BpctaYGzwuwfhE0QJVhg5wngNHmvnZKfkcR388cws7MUOCtPeazReqgSOfw2ZMUIByJxOItPM8TwBiqX5fNgROHwQYyCIAIcEPoSDt97TS6dT99pOo2Pbrtp5JvnDJa3heprdtkU4wqUIKhmZm+JsHHtBQB9NIHBtV3l6NBb2aqOZlMBgIBXddLV90pTNPUlDolLxunjFO6627e/GGHqeNKrpnYQJlZ+EqTGvUtnhOusfTNCtDVPdjzPI8QKpLAMLNiuqSUySM7U2XQONTpPuNbbUk9NBe4Chwn54ihUEjTNBedD3BNcI0hUmxWL+A3l5lPyCyo+18GKGqY7PvTmYXp9NKITJNpqAnH2mvqmmIXSOhZXVv76YRTRsTtOnHennMEALgmiogLtm3nL9L3Lrmu65a/ft9xnOaA0xjnFwx4Za3gn2JPiGiav6LNcZxb9llUxJNw7UchV4Cel/cGanAELyO0PlxTXCzizmTXMcQ4pdTia+ZrbmleetC38Vjz+bkWSik69j+DJFmySwRwa28xuxsGw5eDBw8ePHjwQveCwWAwGMWo5KGUlvTHy3B5OtwxGNsDm4HfIdq6+hwkeeHMIXe+Zu3ssL6fnvv756jPc1y/92KP9XMJ0uVfK11UIpqxa+Zbe1a+s3flO62jX5GO/sfl139ggepbcxRdXeZBZ9AeBICAcuAQ4M6im/vpM6fk9y1L+7OrUYBX8b3ea88qOuN27QsCCNO5hsmvLp746eVqXXoxgxAKd91Jqb/ugIH00580qclAoERk3CYDDy/CKKFp5JOhEQHo2lY6qu8MMvbpMwWYRv4m4OlkWUJnSQTwn1RYxVuW8618AoFAMBh0HMe2bY7jfEesoiiF5LkcQmqwx37Ae31Wv7pn/oFZ8YrsCoZQv6AePtv06aXQtYZhGEZuLAYmhhIISO55u/wVvjO7grPxOk8BQu5sOX3joXo/nEsChFC0oaVtz42xve/o3Ht9NNZyoS4glm1/93Siol0WHL5b1HkgHMaGYfim4qxuPk/XdQHR2mJ3B7RbKegovX3B4wjBWOxtK2KHl6VzOniN3rgrXrca5pazj7mq9OTs2D37LQQQsBcAIFhgWiXj+EwpTb/yTakM9RkA5oPXsCW0DAaDwWAwGAzGdnDRiTuXMWfrPgpADbxu1tltPJt2I74PfHH3fLKvJvfkRPCGMg+hkMpsVZuM15Ce9O1DJ811xqBZ+ZE2NJJlY91HfxmCxVnUL4jSrBUDAAIYAGwQAVAEr8eN7qVPAAAPZTkztJDj3Im/qdrGgVE1PM9PB3+jSIUmerQfPxxRpSJupLquq6r/JEc5YIwDgYAkSaIoimIF3uLbRwhmSle6RHCozyQQAmiiL/rW3yppRqG5IeQeW2LNVmkjHMel02kAcF3XNE2EkKqqOcKlpmmiKCKEgsFgESVaUZRO+2Hv9ZLb3LfwEwAI6pOevuZg5WzTp4ci757Eu1KpVKEFBIo51TfztewSyd5wYefphiDx5UA/BxviYQu58PPUcF2XzeftAN9/bbp8+ywAEBC9VkleUSfdGi1tAlMFqVQKLO222HrLCKiEz39Nbq6n3lfAl8GiC10a+SqXLEiIfLDm4U7xRDRmQ0uL29LZUjOtcD4yscznTtLYXAgQGmj6PcXwV58d4DNf4YXBo3V2CVswCpCQugaaP4Pabqn4TBgMBoPBYDAYDEYZMAuOnaOzq+sU+eje5e9kSiLuzAy3vwlOF9+x3XlpTLm+Q/uVg8QVocMFkadGvT2UXzPqjFTaK4lq8/auBmE8pzwNNUHYEO24Ai3LqCMsWnXmqzl6x4be0lcBIJmYJMABwGl0q4hdpMQ7kj/udorZgxRBBIM7/flk7x+ztIQ7TH1Dy/xwbwMeLFSBA6eHPmhJ6qR8o25z+SkHN5nqPZk8r0fIsryZprYKhfoL0PQS1PVSpC6AfeTUQsqZrIS25Lgy+Ecjbkm8qmmaHMeVOfDyBWVCSCqV8iY8bNvODGlBEHieL6LTybIcpSMCrLdWO3XMe1Fjjmlqa5As62JjSdcahJCDc8e56BSLpdUCLeBsGJPLfEeD42Oeo9IlePW/AcAy32W1vL021ly8M4zqODM2lSAVuPFEBXpDHSEk4A3FbZprdV03AI7KCykH3d1IKaUPzXEAUCdSmZiFVGSe58+sbrgecECzHTlmnWrmBRHAJ6JP8Gj9XDFQDAWF7Lgwtiq01djntWbBTQElorXQuPwL311sHPQuJbqmtS09UKhlB0QOrPG6ey2pkVKKABobG6s4HQaDwWDcPX0VAAAgAElEQVQwGAwGg1ESJkDvHMFgUJCCAOCAyJ971mqyjk9JB1voieL7drgvz4u7YvbZmL0uBZpYnRf3qM5srXP+qUwkZS0Sz6HBPjOPdjfwG9xgPfU5BVEV1oPvojAVpVOD0oc5c64OJgCAAqKAfC2kQ7BIAYbQtXV0NO4OQRJG0OEuegwALAiIBRbgF4EDNzz4pfSuf3eRhMG+eQh33b049JN6PneKIhsRUt30EZcXh4S7cyQ2hJDvWvJLFIxxEPztDuyVExB5yw73Z5PoXAdABb7AodDWCNAOiJzfRcCL/eR5XhCEcvIB+mLbtqqq6XS6eCi0d5RCgrJlWZZlhUKhjACdTqdDoZCvSbQXp9/l/Fyk64N/2ulvyvrDzkgHevQnZ2rfBqUEaEVRDJy7YkBwi+0VJbnzjrVOsW8reFOVY1+dmb06uv/e4jUZ5UMpTaZSiWTqiVlSvvXztRG7TqSU4hkDRVFl/s6Vouv69SFHkqQ1C55dXpfIr4+SVKqg+Os4zjsa6YOz508nW30OYjddidTugQB+N/qYilfK34ULbzDeR0D7Zr4+W3ObxsdCjk8m5QBZ0wnBGDunvu/boI2Dx5V3X5X6l2WhxxTjkfRJTKzVEPPwZVTJ4uLi6moFFlU9PRcmMyqDwWAwGAzGBYQJ0DtKT2+vNlfjcKH5yE29i9/1ClvM15Jcg8hZEhSMrSOAY/bZ7HtViabbzJcAQOdqJ6Sre7SnHCxLUI0ADQAN1ukZ2NfE50ZVZ9TnDL2Jf8m8RkBRYTf/YXSkhx7NbO6kxyiADXIh9dkCRSzafwwuGfgOXPHbReowthyEkNpz78TgY23CyeI1ObD66E9n1GtXnVjG2TYYDJaTq7AcDMMIBoNFQlB3AIT8Z1wAoM79NYViArTjOLOTZ+vd1wXQMBAC3By+qq55tyRdsMjuSOMemHuuzMomKeH3XT6j5BBGBM4JxAghzzkDYxwMBi3L0nVdURRPiaOU+j6oO45TSKpLpVKqqhYfeJIkVTqWdF3PUZ8FQZAkqcn9leLMcXB+osXQz6tyBFCX/sxk/XvKCX+uS78WTebaHwXthYJd4mtVkutnIpTn9dxkvjx8qq5lz03lVGYUwTTNx07PjBqZGyp/XUnFbmqjXNss0wi2dd0OBAIx3rWs7ZKeM9i2zfP8kLbuvXNXnJQclinLgQKmLlWozwDwqejjKleB+gwAIW45wTWGN3qdu9qKr/rsYegaAK23fZYCuMBP19zebbw+GvtA+8KPame+NhL/rbqlx/qv/kBFvWIwMvz1X//1fffdV35975u4ff1hMBgMBoPBuAhhdz87Csfxc4FDneknQ4vftZEk0HWZIOTOp2lUKvxpICA6rlGIT3hFgKz2649TBCkuJrlj+RXKpMl6Q7fDKCAXWh2fwyTaH+KN+cC1AKgv8c/5FbrpUZr1IE4BYaCn0W1X0oe8EgPXUYQC7qL3trj67BEhU+PjJ+Pte8vpIWOrQAg19L1t8GygV8yVxnJrAm2mR4E/MgvnQ2UlScq35qgOLwo125djh3Fddwl21cGZ/E0iNhOmKUmS745jAy/3cc/2oA3G+13wFJ1+asLeH++/fZs6XBw5oKy6sRquoL6ZzSR+a+sWHbeNO6Fgnw/xuNmUcXsvmfRPURTTNAtp0K7reubjGf06W2grKU/7khPLr6pqu/OEbPs473esPJF5PV57R5f5vC40gllagA7q4zjP4KjQPF9aiCuBXHvciuhK/yJhHL5IzG0uUZ54feiUIZZxN0VTeXLtVTUklbIBwLKs7Qt8zkHX9UMRvD+CBQSpVOlr6bC+4dQwUFKJvTUAAJy/F/jt2qfCXGXJKjwMXJMtQA80fboueaywbwdMj54JO5O1fpsm5MO21DRshzibG2r6VO/M17vmvp069F+q6BWDwWAwGAwGg8EoEyZA7zStV74NfvWkLrZYXGgpfKRn7n955UGyrKO6AF33+iSAcJbogADm5P1dWkEPZQRQ54wOBm7rNZ7M3+qAxJcRExegCdASA8odffB86ROhx8GGiD2QELq8EhtkAc6rITlPqBioC9yV9KEJ2N8KxxFAmo/X2AXNhQvRvvbjhNEtMcVkx2nrv3F0iOvk/NPTZdNMjzrBmxO2alkWQojjOEEQtiqNZCqVCgQCul6xi8uWoKpqHTmzZDfXCT6Rd6ah+QrQk2ee7S+g3SOAduG4M3Ta6vwMx1UTTrhJnNg9dPmfSupJFpFauvp3okNlo2kaz/OiKHIchzHGGGc8NxzHQQh5NhqZHJjZeSzLjH0u4gESUoN99g99Ny25LdFz/hvLcl+7+UKZZyQIgmTP55dbWMm3VxqMvrPPebrMlguBAMyBB+X9xXKNMgrhuu4PX5tYdPznnPIo9iXbMfXZwxv/5cwKBoPBiTmMgGZyKlZldY8AAAH9WO3RWr7EdBct8JdaFrsb7PMJM9oWfig7/rlMPeqss43mcf/eqM3JVAoAZFnunP/uXM2tcmqwNlJT4iQYjMJ8/OMfP3LkiO8m13XPnj179OjR5557DgD+8i//sqGhYUsSHjAYDAaDwWBcWjABeqcRJXkyfGtL4kkqNkVXNgjKE9yh/nOCAs4LeWtxXqOAilheAECv/gRBfH4AXTnqc4Y+7bEJ6Zo4NyRCWbF1YXvdgVQoVd9LXdgGx0fQNV30pYg1OBz5UO/at/OfNtNck8lFJbIadKby21kbfrph713l9I2xtTT1XD8+3dRsPsijYrbOU2YPj6ZCOGKFOmzbNgxDVdWtEqAppRdEqPUIwSQA+KrPAECIz59lemK4p1TkOI9te/SfaPcnd94UMhSOTK7c1EaLJQilAOnGjytb1zcLVMVvpYUsiRWNk+yQZIyxoiiEENd1LcuilKqqKkmSFy+PEJJleavcYILBYK/940JbV9x4FAAAJkI3tLuvAYCXkbUkosD5Grw45wRoFwmaENOEhhWld4/586r6nkuNNVDsR4VRAELIN16adqu9icIAb28kF2oirXw8mYxu0ISruQ4goB+ueSnGl3acn7M7G4XR/PI+5bVsl7Li6jMAuLSgwNe08qgTfadqTsZmn8NAGlefXNn3FyU7xmAUYd++ffv27StSgRAyNjZ29dVXf+UrX3nllVeYAM1gMBgMBuNNCLsBugA07LuLAApaM6o1PS4dzpT3aY9lVyOAB+o/lXkrgrEkdJdsfFI8tPketpkvYT09AcVupjdDF30JAHiw+rLUZwJ4ETq810F3JmqdsLFK/IZom3usuuxkjM0Tb+602j8z7ewpVGHC3NUiDDTzAx34JYGmPDPoy+bzEmgxXwiEfNSodvuhcloO4OTyyDNVdmtzNHRcNUEOF9rqUjwf+YiiBLfwiDr4royHFvuZqrOMchyn67qmaaZpeqHQqVQq49ZSyEi6CF4ixPxyWZaj9GyRucBI4gwAjEXf5qnPAJA/KehLXfKYb/ls+Oq56OFkbR8fUcJKulEYkemWudDw9GLXQC9OfvjquFuVFOtxV5xoqeQOBz5XASEEik57lwMC+FjtC76ycj45+ZAzYNgwvbegXjsfLui5b6FAzM/92cMEpWfhu9Hki958z6h8fbS+oZy+MRhVgzHu6up66KGHhoeHP/e5zxXPkctgMBiXFYICYrjcf+iChRkxGIwdgAnQFwBRFIdbPk0BWVxQRcmMxprnWUH6Fr+ZXeLwSvbbgebP5Dfebh6bEfeX3xm3QGgeT6027diC3eYUyD60VaTACxYEDKQeNjx51lhnCiV8SyUryDbO2Fo4jqvrvXMx+gndzRUlDRJo5s9m3ja5vxIEAQB0XQ8Gt1LBvFCsomKTQN7JZjM/N80VjRbPpgm9qmsXJsViQ/cNc5GPGXlpBqecPVrL79XUxrb4eGqnb7FC52WxyvtOhFDxeQ5N0ypStyVJyjF9Bs/3GY7GXP+l/QCQIjUBZ2U1vLvTKG1klNNyNPVafvm0dKCHvNBIzobpeXcOlfg4dVRHoWssowiPHR9ZcKpfQHZbjOjpC2ZkXxH6uW+AgKocJ7Wc/Qd1D8b4Se9tJjB5AfvPcGPkL8whRAeVW7PeoqA57lvTQaKN/n/23jNKsqu8+332PjlU7Kqurs55ctAoIwkhAQKhBBIYBAYsJECwwPfa9133XQu4+C7eRbDfK9vXXAcMtglGr7EBYYEEWBKSkFCW0CjMaGY65xwqn7jvh9Oqqak6Fbs6zv6t/tB9zt77PNV16tQ5//3s/yPxxScLY75jZ5rvZogBAAYSgnvfWcHroFDqwNGjRzs7O3/1q19VJUATQizL0jQtHo8vLy8vLy+XratBCMlkMqurqysrK4XlcykUCmVTsTSwkpX+EHq9olB2M9SCY2vo6em1J7FiLcrWUu7i1le5Gw8ZvyjWq8l6I9eFo2fq267NAvpw5ZE4thg6kni3PLiwcdowRZA2yhbABkaFs/WIRtExP5n0wWzZjsrYD+HQ5zcoKkoleLx+4rlzamE6FP9PHq+VgoqZDY3sWVFAgJggCIZhEEJSqZSiKBV672aRZdlZqWrbNkKIEJJOpwtlwU3DLn7NtAmSCtKExeTvK8+SRADJyaekvq1RQ/yBBuL/ZNzQVxen9Uxc9jZ6/aHQxrid8N6WYjVHu/Sfn+Tfo+vFi4sVwTk9yhyX5ysfuTBjWlXVPuMnhbnPp/TLWG21dfV3DNEUMj4rH2oyB/PaBJKvJqCrxOE4y0WRtAGHyVDh9pA9VMwqt1qKzUFSXEkkkz96fTFD8qeaKucdYZvo5SvubhOInropqj4wjWrOVvhI4Jc8WhPLNCIISLMJxsiOo44wvOZ+UAKuyxWa5ZHsdWNZPRqceaGwjQ04hYO55Qpdxln6FXpz3mVF6G/0U/dnyiYhCALP8ydOnLBtu0IXDkLIt771rcnJyVgstrS0FIvFCCGf+tSnbrzxxmJdUqnUv/zLv5w4cWJmZgYAQqFQT0/Ppz71KT891SkUCoVCoWwpNAN6a8AYj0U/DgAICAY76xB6IHl/ts0Ad9UqanqVP+cWc1Q5u+a02LJukcRPyddVFY+jPlvAQcFq2wz2VDVUVWRfgnPQDvJSJeozAMiwyrz654TOkW4pCKGGcDPp/swI9z5CYCh9MFd9dvCQNdNPQkhVKT+KorAsm0qlEolEIpFIpVLJZNJRsbdq3TrLsk2kqJvzPOkrlCxFsuTauBhR5sQWrsxFCPG8EI52tnQdCjRENs5rW/X4UsT9wsKAUZsLRyUOG4ZhiBXXL811o1ZV1aOq/caP89RnizCJab1/5j+6l/+Lt5MMMQEgknq1UNVdlUqVcJQkqWvu3sLtQ/LVrt76CMB6c22KXZkQ/bL4ftftBt4NSxM2h5XV1e+9tpwpbi7sxtoJwyByZYN9Y5NlpneA80YWQkg8Hr8mZPJFEpPLkv3IEAIcGACAkQ0A3dYDhY0twiyazcU+yjI+6+EuGLOY5P8bbcDLfFdp9RkAsuozAQhc+IeVvAoKpS44N0LVViM4efLk5OQkxritrc3jKXNPnslk/vIv//LXv/51Mpnct2/fvn37AODJJ5/8yle+4liiUSgUCoVCoWwVNAN6y+jec1CfETiiQY4Oi8GaxXsj9mkA6DWesIBtNX+f26vDeDbBNKpWmfXXIXN0tOkP22f+taoUOQaMVabFZ00mmJBqLTgbU7jBA/Wp3FWCGlL5WDBSr/0Tf/Cuza/bRskj2tK+sPqx7sXvFu7ykIlZ3OAs/6yq6g5CyDXTOZlMKopSr5KGVcHzvIe4L/omBAnRqwu3V+6/4YAR0bWMIOZbYew+loRLZf1h110R8/kk2l+tEF/J2aVpGsMwqqpW8vyfq78TQvrNn+Q1IAQtLUghY6Swb2GWtI0FgKInLcu4XMQIoB6zqI+HgWXW1nXGP9rwgb4599UwuRzN/Nh1+5J4qKFsZwpALB7/4RvV+WawiFwaID7WBADDMAzNSFRRD3gbYWupqxsVhOyfT2MEhFTzjU0IdpojBGU/0wyyZpmLgvDzYh7rOpIdbw1UMFacCS+zne2au5G6K2O+d3cW+CZRKBvH9PT07OxsU1NTVTeuf/Znf8ayrCAIHMd97Wtfe+6554q1JITce++9zz33nM/nu+eee4LBIADEYrEvf/nLAwMD99xzzxe/+MU6vAwKhUKhUCiUmqAZ0FvJyp41E4lzHufsN9OFADBYS7gjtwsCcKtzlo9iTDV17Jvt+9+rzV/2WZMAkFWfASDFhKoaYTPxwuzC4FPO79Um2FLqi9cXsN0SAyUyz7Jrp2xVT1zFJOYaqsnVC4bBxQ48yryz0H8DAAhx75G21ZTt/tnUMltjA73JhDuO6sQ9GdljjwmCUO2AFU5vWJZFCJGkMhI/wzC58x/Y7ZQbSe4JpU+6ds+Tz2b815aQvFmWbV/4aeH2FbatRKnDOWYPAIw2fIA11+UmLLS9ZT3dzxM0TfvBidUSDS6R4wDAgX2NJ6Zgq1MmNzZZbw9qnB5PpVKpVGpL5szqhXPVHYubkHe7UknfnPa4nJE0AcQwzABzi/Nn3AqchFtMOHuhmBXWnKMjK49mN8aYyJT/cjmIq1KfCUDnBdWtFaNQasY0zaeffvruu++enp4+fPhw5bcxCKFgMOj1egVBKPs1p2nayy+/zDDMl7/85YaGBoQQQsjn833hC1/AGD/77LOzsxWtMqRQKBQKhULZCGgG9FbS2NQ8P7QnpJ8yGZWx05iYABDW37B4jgEbAQCQHvOpvF4KWR6VLu9IP11iZNGOpW07EAyTwH8fe+Ox9ph7pmElZNBmL9DWQRr33tIT+7dKGremHx09o0eFAQHrBECzpCV8SAkfFM+DHNLtxph5uJPLr6LGgMlxnGO8m0gkRFFc/yLQVCrFcdwmCzqiKLZYvy22N9zibrCggUcBl4KZEi4qR9rmzkySrJ75wAdaVn5QuB2DnZ20qJzKn+eTyWTZVcySJOVKxql0Os5FPWQ6u0UnQufSQ659CWB8rnC8KvZCcfdzURSF5cXC7XEuGrCm8zYmuZY0Fw2lXtCwAgCV5D6XIIO9qse7nhHOE370ygwUN8vuU+0Ukg6oRpeKNY29Kmjqup5I7CqHqLQJAUhj4Cq0fHEIszqPXMpLFMOZcUln9DlufyOcEHEyhIaGmRt6zJ85C8XIm+sSeCsGAGnsX/H0R4VhLwyczFy+D+4vMXgek+2fbqu8NYVSkr/7u7/7wQ9cvs4AgBCysLAwOLhWGAAhdOedd1a1IKxyksnk6Ohoa2trS0tL7vZIJHLBBRe8+OKLJ0+ejEQiG3FoCoVCoVAolLJQAXqL8R77GDzzRc6K229mo2Owp5l9Uet1588zoTs7lv/DedbK0m69MCZc1K65VODJ4tzdIoQi+66JZS5bOvNkZ+qxEu3HGt7bvvgzl3E2PdmUh3SF6rODgBJOETwEIDLpZngOFp5LWwqDTALIIOIsXNTc1rdBt/uULHygFxL5AjQAKLCQBAnezFJnGKYSC1SWZYvVebcsSxTFTRagBZbItotKCAAWYYsJpqvcoaA1Xt2R8PlSFC4UjpBl92pjDdZrSdS1cWsayo6cZ/9iWdaK0OfJkYNt4v42LQk9GKwAnHVJGgn/QYnamwihhrh72ma79VLhxinfu0zTaki92Gs8UfolVEJm72fpTF1Znjw5ErdL3SwNJNC7GpGhZRIJC4qv3tjRiAx5IOGVMEnZUMw0iwFinbvrrcob1a5XkWAlaXKr4t5G6wSH9CB5YwX6F8zWRnYUANCbHzsL2AnfFe3CiSisVV3uj/2y8qOscq2tXaVs2SmUqhgdHX3mmWfKNvP7/ffcc8+tt966QWFMTk4SQpx06bxdvb29L7744sLCgmtHCoVCoVAolE2ACtBbjCBKI97rOmL/heFstpQJZ28cexf+acx/a8fKOQu0EUAbOb7MtgVMd20rxQRz1RFBlKKH3pkh7yCErCwvRQf+qrBL2+J/ug6F8p8otwAb8Gn0tj7y21F0QTfJF2usTO4K3TUkZk3xESCjwsNk8uHT6cuCkV5++UEPswwAAGhEOxpqO1bDYn+KK95AxNUtPGwfX2SucERnTdMURSmhx2UpLRFu/nSCDPPFdi3aLb4iuxqbu6FK/VkQN7Ds53ZjnFzQjn5fuD1onVxUDlZVqakqtTqVSsmynEqlXPe6mkQb564FSYM398JxPPyxI/Pff6PhfXsW70tw0Wyy7Jz3imWNL6jtehZJkoKzLkLzHL+nEYYKt/cufDfNhhEQVKQIbeWclq/vcPONoeQyt7BwPFZ0TohH9sU+IyCy1VYV24lcocQA4Mnk2audiKxMzkxM3r0Ch0g7d8r5nRD3qaZCwuSVVe4y3TBiuNkLUwwYjdYLc+JFjeYoAHCsaQF72nP9XvGZDnQi22vFDPlhHgBIZSUluCOfpNUjKHWkra3t4osvLrYXISRJ0u233/6Hf/iHirKBV93JyUkA4Diu8B7JWfcTi8VcugEMDg4WfocahkEIca3GsX3Ihu34a21tMOvBCd627W3+Dy+LU/QFdsVrcfJmdvCrsKzKH5aqK+9QJQSKOBLWo3EVYVRzhajuckKIZVkmqXTpW+6FK/uR2Yk4L2Rnf0wAYOdcuBw5ZUd/2QEVoLcDHRe8K/PEM6J99qYw95xCAHnqc3a7H89ksEe0XQxA55pujRZ2QQghFGwInZm9sS/+i4IBzzmVY0yTU0q+P/1wTO7wwhwATMOeKJyq/KWth5Pomn1kzeQRg72X/MYAsVB9BoBmcsImAYxKfRQRgj3yMxB/JueUJ93iSzD/0pzeykffKUlyfeM/D7GL5DULEMvNes79omUYRhCEXB3QOUuh3LV186+8SdRUbFeMPVRMgGZZdsWK+JlKXRcJgfOhAmEWKXoRzLoI0AjAa48kUbiSN9p50q7qlLBtO5VKOTWd8qRDRVFcxUQDzrlEZMxz3qYDC/8+Kx/Zu3gfAFj4rDS9ohwkJaVJnz7iep+9wPU1Gi4CNAJbNtdOpynucLPxSonBSzDDH+nYT92fy0AI+flQyrVaxjVh+/VVuCRIkkktkVivrdD2J2nCaxlFRDa8memMgDjqswebrhnilyszWY23crFXIot+bmVZ981wl3mtnwKAj4z6zFFnbxM7Ao2BfZCfarqSDvgBAMBgPLxVxhV9wvPWNvU8muejbAKf/exn77777mJ7EUK5VW03juXlZQAQRbFwfsVZp1Vs2vWuu+4qXLrR0NDg8/lWVlxsxLYhxbT1nUU6nU6nq7At2s7smnnZnfIRKITRYsUeT+pBNcqvXYWmbFtF1hi6Nq5Gva2qMalYTQYAQkgsFmOr+Z84rK6Wqi+yU8hkMus32NwmOIVbtjqKojirw3e6AE1NCbYehFD6wOdyzyPeOpsfqkNRNQoBMCyZ8Vyuo7PKiA3MSPMd0bbuEkds23dZnCnjAeeoz2vxpNecBzZNfQaAfvLbvLlYDtwvbQhI3AzWfKBGfsK/+C+zQ0/u9A/zllPiH5jrUJFOp7MZQJIkpdNpSZIkSVJVFSHkPDgxDFM6PU3XdUVRPB6Px+NRVXWj09hVVYlaRVfXtrSX+rhByy2VH2jWPr+8YrzeovfGTebzslzRtBDDMISQStLq89A0DSGkqqqqqqIoiqJYIi06731hmbPT4zPyYYZoXn0t1z0rQJtYdtzPiyHLctOyu5G0l8y5bs8lhl0mRQjAQMPHSl/LZsQLA4ffX3Z8ymtD4xm32qqNAlFZuCRIEonE+fDFgTFWWHRZA2SAhYJM56z6zICdM5NNDoulXMJK0EZ+J4qiZVmk+D1q7sMsIdCWfs75vaz6bCKx+ehNtQVGoRQDY8wWZ3PU5yw1XJTS6XSmAFrcm0LZ0ezYz29VicobNTIhgGy7wh+gV0vKprA7TjOaAb0tCDaEpnzXRFfXEn5FeyX72MVDqZlwDjSu421EvWklndbSCZbjFdUbLZdrhBDCRz6TfvmvJbuiSV2RJAbg2l5wKXuogSJAEgDS4JGgzINfVTDVLDBfSgZ8fnd/3gpp548vjCyonbfQZbk1U+IRK0+8c6ags0YH2XQPj8cTj8fhzaWUJcw6dF3PlfY4jmNZdoOWzKiq2m/fV2xv0vKyJSVjSZIHyTt6UEWFQPno1VXHt8MZtY91YBcPCgAQSlTuexOGYWqz3JUkCWPsnG9ZFEWp8KtdRjEAIIAmPG9pi/8OACRzydmV5JtCxjgAWFgonW0hWwuul5sE0xiX9kDcJTc8l14jvyomAZhovL2tvW8cfbB94UeFXWzAU5Hbw217S49MAQBCyO+K2KVe7LcMw9o16R5lIYTYtsVizOZc6gpX61o5erEfGzyq/f8T0p4UGW2MvbbDehgAls3GAHvOlAxGJGvrMWoc7IRHKxx5se/ups1VAymUTaOhoQEANE0jhOTdzTo3SKqqunZ829veVvhtNTIywjAMz/MbE2x9yN4Ksiy7o+fvCSGGYTAMs8nTFXXHsixnyeNOf0fgzYoOHMdtdSA1gqwN/fCiyvVcVEVbQAhV17hiqhoZAGkV522zABzH8ZUVznIMK5zHjW1+gS2Lc+FypmC3OpZ1kb1wbfOL8I42bMmys8+V3UTTkRvMJ55mSQYAPOY08JV+Zy9ODar9R50c0soPx3KcceSPU8e/KdvLlbTvTj2ekYNigcWvoz4DQH3V57LMod5GMpD9s5M8b5NgaReOsoS4SW38n83mj+/0a2gdsSxrbnYSW0mCWJZXQo3NJRqj4tXz8u4PNE1TVdV5QMrV+3IFHedhSRTFSlQewzAURamXAC2KIsuytm1jjMvKkdP23rZyA7Z0HRgbXGxnyuiJY8y1EcX94XAX4++4HMbdBWgTSVByBg4AKqxpmYeiKKlUqvDNrfxGlkfpBNcEQBz1ORed9YEBAMBZ8RLzIizLNi/9ynVXqvv2JkmFN8rEwEC+8j7Z+qnGpjYAiHQeXAq1p/db/OIAACAASURBVIYfa9XWbIviuHHVd1mw81h4G99XbSuGx6cstwzcAEcymUwNZ93OhRCSSqVUVV3QK70zUZl1/X94pMtotd182FG589Rnh+yHNZA4XWwcC5jh6B29099x/pyTL2xqbl9PYBTKdqa1tRUAdF23bTvvEdqxEXCcoAv5xje+Ubjx7rvvZlnW6/VuQKT1gRCyvLzsPJB7PJ7trBqUxbbtpaUlURSreprbhmQXsMuyvNPFtXg8blnWdv4IlIHVKherNjT/CqEqpiIwxpUnoVU1yYExhor1O1SZmrzWGCFV9YhsRcEQQlZXV7OTgjt6nsa27ZWVFUEQNrS8wSaQTCadfDhJkkSxoLbYtsGZD9vR5wxQAXr7gDFe3Pv50Mn/CQAMWCu4xW9PV9IxmHkV4GgNR+R4wb7wT5d+/y9B08VpND88sFaNkMhV6ueVBL8CG+iZ5SPn/HMQwHi6p10eKNa+QgScMSZ/BB0fWec4pVlcmJNWHlXRIgLbBmaRdIH/WDDUuKEHrYGpgWc60dOd2e9fHaw4M0/61fZrObd7SoZhCLhMLpM3kwiy2LadSCQwxhjjXB0nr5lpmgzDlHBF2AhUVcWgtdu/YSGDbQugzKQ95sobrCGEGnveOjIR7TQfLNZmwL62retw1eHufARBjNlhL3ap8Uig/MNkDQ+cqqo6i4sLd5UQoFlyztWPBV0xZl1TKZq1tZkGTMwSs1mSKLDLLvJ6ggl7g40IIQtYBkrNqSAgM+y+JvMkAKSQzzr4ubBw9p5JUb3KoZsz5CZnpodHKFxiLMq52Lb9y2nbtaDdpUGSSZ5H6rMDxngsSQCgh88M6i635hyyjRy7kgBTynymLCqzApU9Dydtn890/+q3AcePfEFNrc2OE0Dhi25fT1QUSpZ1Vo5iWXYj1ts1NzezLLuyspLJZHLlAELIyZMnASASKeO/R6FQKBQKhbJxUAF6GxGORMdGr2xLPQkAafD5oSIBGpPasz4xxsqFdw6NDXVN/3PZRSkR4+QsdzACg5WMnKc+V1iYvnKymddZJG0J6lFHUGVWpod+Hei6ri7PBo6DnpNL65TXGzr14j7utzl5dUYUnYTYydSKJxm+zeP1bxMPkPnTv+piT+ZtZJDVhE7CxMlT+uUdey7NCxUhNGv1NTH5yWgIwM/MzIC/8Chlswgdl96sNUcJ0ul0bcmwWTDGsiz3WT9D1aTSh6I9lTRDCEXb+tN278zgUx3MSwjWHlwJoFmrz9P5zrYdu8RvnSCEViHqBRcBuhKqFaCzxi+ulBAUGsxXc/9ECGJck9fIv0pnGJ9iV2QH5Em7X0tXo+8JIQQASz2fCw/+delBkjg0xV8g975bkmXXf0S2qielKn7w4pjrDdIxv62nq3Yb3wUghNpl9GqcDOruhvvGuWbZvcKMa7O6s5COKOAiQJvAahd9WWJZjuOcO5Dp7s+37PCcEcr24Z577vnxj39cc/ennnpqIxbbKYrS2dk5NDQ0Ojq6f//+7Pbx8fETJ04AQO5GCoVCoVAolE2GCtDbi7aL32c//jQGy4RKk//n5Eu71nfQlvbuTOtXlk88GE0+XVqo8KVHbQljqDrp4wy6qp88UXOElRCGQQKBbPyaJQpMjQaUUX5gfLq7sblvPfEQQqaGj3eRR7PiDyEwbh3ax73q2l7GcXnxu9OzfYG+G7ZcMJqfm24tUJ9z2cM/nRk8bnXdlSf/odAlsOyyGponCSgQoFmWLV2izYEQEo/HJUly3H6d8q+F2Latqqpt2wihahfII4QURemwH56FY1Wpz2lbFapZp4Mxbu670oArczfWXkBzt2BvVkUFjHFpRxdN0zDGhTI0QkhHPiATuRtX5D7var4APeO7pCuzZsphQ1F/akVRmmYeKdxOAAWivc7vXl9gxPfeztWfFYs2iUORfdfsXHfCbctrAyMJ2+XuSGVJCGu6uRv816rFuaIiAA4RvbwrIunkX3HfATAE13aSxxlUhyxyQiCSyj8QARgJ3BLtv4RFCABYlh2N/hG/8lpLe+f6j0ihOIyOjj7//PNbHUU+HMddeeWVAwMDX/3qV7/0pS/t2bMHAMbHx7/+9a8TQm666aZgkN5xUCgUCoVC2TKoAL29QAjBVd+Ymhwz4ov26qtlPZCSONTVV4d0Boxxw8Ebk8Z1q8PPeeKveMxJ1+dLkcQHydt60LPVjr/R6rPDqfixvZ41M9lC9XnWPhLBxyscqtl6WLd71uOwszL4X934RG7iN0LQzrqrz1mi7JnU4Hfs9o+7elxsGt7YI27ep+cg4lRq+LtW58eZnCwejzcIbqbiQfLGFNuZa4arqmpVxhrZQoWqqiaTSVf/BCezFSHEcVxVArRPRt32fTbB7fbjlfciBLTmD+9sr77tDYZ1reIvRJblEunPAGCaJsdxhQK0qigh4/X88Lj8D8mMemFWfQYAGwvFPMQl0z3je0E66M2Z1In2XDCz1OYb/b5EVnObZZBnNnxrU2t3iddCqY14IvH4onta/dtCdiJR53NyB6FpmshIKav81yKH3CXqpO3Tmj7QqnqmZ8OtSZcimdWyZEUbyDkCdIJp1PZ+otlzjmVntKNf3HM+GhxRdgcvvvjiPffc4/zu3Dh997vfvffeewHA6/V+9atfdWoPAgBC6L3vfe/4+PgjjzzyhS98wXHgNU3TMIxDhw7deeedW/QKKBQKhUKhUACoAL0NYRimqaXdMKIpvT/1xk8bzVKJqIuh6+to58ZxfKj/SoArNUKW5ybV8fs8Vv4q2p70Yxk5XFiNsF5YwDCVlx44lw7zeShuGltMfZ7TmhuFqbyNDLJnxl5t7jxSWySrK0tN+ERtfWWcMMe/FW+6Q966enQKWqqkmYxjyZHv291/lFXqGYaJ20EPzu+OwRZFMav9CYJQTEQuSyKREEURY1xMvy4s/l4aryp12/cDAEbVJTZOcm8PS/WwfaEUQbZnVuuUIC7LMrw5RVGCwvRnnud5nu81fuoypnCOg7OOlRA5x0+ftVM8zxem+cuy3DZ7r2sAdvt1eVsCwRAE/3QhtmIk5iE9D0qz6A3JstpU+pVQaoIQct8bi67fI718mpDzOtnctu0gD2GwNYJmMqWusVco+fOQKduz4nlHsLFDQQgAwpFmbUAScJkSo2VJpYSGN3+fFC/iu67x+gKFb5IguNuGUCg1881vfvOb3/xmhY3T6fQPf/jDb37zm6+99hoAVGu+YZpm3peXruvONwvDMHm3UhjjT3/60729vc8+++zJkycJIf39/ceOHbv++ut3etkiCoVCoVAoOx0qQG9HGIYxTZPjed/hDy0lYubQLxrNU64tQ9F12m+4gxAKRloh8vmF2Epm5InW9DPOdgIw5r+pofvCxXQyNvFSl/VU3Q/NgBWH0Ix6rcQagZXHFNd82iKIEEua7Qp7jllw0vTkbcmjUH126GSf1Mjh2tww9LkX1vPZYpEpTd9rd9+1VU8LqGKXFQWvjg8/2djz1uyWDPF4wEW/5iGedQLXNK20FW9pHBcFx5TDdZDK3zVVVXvt+2qIwSRMQ8uBGjpSCin2fkXM5+eY95ROZnfsU5LJ8ra8lWTcsyybNc2QJElgzDbjEc5wH1xE52xf8eyJGG/kteHNFYz5rKjNcRzP802rj7t67qdw0B9oKNwOAB6vH7x+gHX5AlHKcmJkKm65qM8MkAFd3FPr5OjugBAiMbBHhV/MlLnAdnBr868J2zdn9fqaj6geX96ZPWEd6MEvrCeeObPT4oKj0g1KZK/s8YUY9y9djuO23NWKsvuo8PZM07STJ09+9KMfzUrPXV1d9957b1XVCy699NL777+/8vaiKN5www033HBD5V0oFAqFQqFQNgEqQG9TeJ53vG4V1QuHPxzX9cXTv+nQz3o0W8Au9XzOW2UBrmrxeP2ewzdlyI1OhgVCqAkhAOA4v7r/2qT51sQbP4mQM3U+KCx4Ev8eg0Z84DMxQ18eeLTDfrGSjghgPhNV1HPk5tLqc+nRVleX/f5aEjArzCAugYiT0wO/DPZv1fMDgnJFKbO0oRdXUhdK8lq9dZMJAIwWNmuyXliCi+sW4JumHIVCtqM1lC1IyDCMLMsCqfGdmhRvaaLJRHWCEYOuZhsWiCWqAmbJEwJUVTUMg+O47IkhSVKFfi8MwzhpZV5V7DF+huxSnwIOZaY8lzXHnwGAE6EPHUi5CAQd8z8KCe1TwetN0+QZ6J79HiJmMTEs3vcJl0qdlM3CsqzH5uzCirksIiwCyz7fRUxCyF4PeWSu1P+BR/ZHj0RE4fYMIQDAIdRSpKXS0A2xGgXoU/rlbX0X+xjGV64lQqjaOqUUSl0ghDz++ONf/OIXn3vuOcd/7PLLL//KV75y5ZVXitWUjqBQKBQKhULZNVABepuCEBJF0cn0JIQwGIf3vD2N34ExY9u280DlLTdIHYNxTSBiWdZ/8INp2x4bfL0z8zALGQyWDYwNHAc1FgDM4oU58vrXVprubDpw/WL8SnXkOwKUT3IMGy4V8GomvfC6339VDR3rUlItyp4en+hpbN1bj8GqwwK2KvtdburfSM8n1k4S3wFYfbmwTRqFcv+szX+jkMJxHAsOZ11qCfnSsixCSJv1WIHcVPaIMIDf097cXkO0FFeEQB/MPla43QK+7HliWZamaQih3JaapmmaJoqis9K5EkNwZ0LCGURVlV7jJ2W7TMk3R/vadfiQrusHXvq/XdsgAFUb65/+VtnR4kzEH6DlobaS8dmFQvUZAC4OkAAPYJ/X6c8AIIric0soZblfMRGQCzzG5fvXfMnLJh37glFrlWXQ2cIAhIAFrAWsZksiTiVJw6p0WbSlAwA0TVtZmuN4yevzsyzbWXHM1HyDsvnYtv3CCy/8zd/8zb333ut8pxw+fPiP//iPP/axj9GasRQKZZegNMJmlRCnUCi7CSpAb2swxgtzU8GVn8poTc8lANPWPjZ0gTcQ2SarSjHGnX2HAA6ZORtHJoabl+/joYoqc4UggOjMP03oHwy39MGhPxkeHw6v/koliyW6SLAKUDYpqlIi3CBALQJ0igSDML3+AJq1/zLIns1/oyfsC7oYl1KTBuE4ZBRuV3AsZVsMwwKA6vHDamETCJAzs/KBbCJqMpmUJClbWrA2RFF0HQFjnE6ny7p8EEIAYajMb8QmyAJulbQw0Xe2y9T6uZ4UK7kpwkrZTHbTNAkhjm0RACiKkn3TnQm8CpEkKR6PK4qCEEKofG77rN0fbVmbhOB5foHrCRmDlR+uEOvgJ9fTnbJ+nplOAbjIQxgBgwAYXInTy24Gs7Oa+5fRAdW8or9lOZZ44rUBzUY8kP1toQa/r8SXF8Y4Fv2EPvHQCtNtsh6sBHjPOQsAQqBF35SPBUGIRNuqjZfmmVI2n5mZmdtuu+2ll15yvoACgcD3vve9a6+9VlGUrQ6NQqFQ6kdmscIHKAAALryRoVAolJ0EFaC3NTzPB5d/KuCzMgoCaGZOwvJJY4mfFa4OtR7cJjJ0HtHWLrvlT6YWZtm5J1R7RoLVmqNsXfrRuPaexu5jzW1d0PaZhKGvLi8gbQEYmZODuq4xyy9jOwO2BcQCANZAQW6+Lq+icivkPBj/Hki8XlWXjC2LOF+vZ5A1OTUcaemuLYyaaWi/ECZdBGgOGYSA6xk3Ovh6d/8RACiR4JNnlbD+Uxch5Jrj7Ixc1r2BEFJJtvqoeFtjpMUJ3lNTnJTSYFx0jbwsSfHiswgIIcuyZFl2RGdZlmub0hAEIStbE0LKpl0bhPf335S7Zcl7SWixdgF6RjgUoAUttxTLshdN92uXaQMAaJpWiSHMbkWW5YeKmG/0CemEwfzjSzMACGBN8331dKKJW771gs5i1/m5hYWM5MMd72WL3IlOryS6IjXmL1uWNTp8Zv/Bo7V1p1BqYGBg4G//9m+/853vON8mzc3Nn/vc5z796U8Hg3RpC4VCoVAoFAoAFaB3AL13w9BfF27mkN6qP2QMPj4p3xJtrjozaBNACDWEmyD8AQDI2HZsZYGdfqjBHq5hqLbkg4ODbGvPYQDgOD7U2AzQfHZ3YzS3sWVZ86MPhPnxdUUPAADzRmdjTR19DS0k4W7tYAOD3SpZFarPDs2ZBy34XE1R1I4gCItWcwPjUp6xmGjcx/zWgiMAgBAyCce6JUrnYds2xng9mo6rtJH1rik7sqZpmuATYaVYAwIwIdzSVH3mHaUqHKOM2joahkEI8Xg8AJBIJGq2dnFORYSQx+MhtpmxJRG7a9kG4fSuu/Mibus5AKXWZpTCQKL38B/U2JlSJ5ZXil4HNBvi8RprCewOMMYTGmMQ96v/GU1y3T5jcKfHZ/a0R/O2m6Y5EUuznlDphQaMUst8HyFkfvT3vD6279AHa+hOoVQLISQej3/961//xje+4WxRVfUzn/nMn//5n2/PBBEKhUKhUCiUrYIW0druiJK80PDRYns5pHem/yM98G/bPDMLY+wPNqoHPpLc998XOz4Xh1D5PufSk7p/crwi8ZphGG/3zQPaW6oPMx+p8cLaOjIMO2vvcd01yNxS1VAsMrbkzeXaq43zrAWLQSpKW2NZdp0vjWEYRVH4Nw0cMMYcxxFCHDeGsrKmZVnjzLXF9o4YR9Ptn29s7lpPhJRKwBinieq6q/QqBMcNP5lMxuPxeDxes/qsaZosy4qiZDIZXdf7uF8LCsoIDaeNS1P2OSrYvN2pd32WZfNTZTHG0+IFNRzaAjZ1+L/ROmlbzvR80QmEmOleBeH8QVEUqaYzdHApf2J1dm5u2sBsBeIyqf7bIZVKosF/aDSfDR/4wHn+llE2h0Qi8aUvfenAgQOO+sxx3Je+9KXjx49T9ZlCoVAoFAqlECpA7wDCTW3j+IoSDfxoShz+66XF+vhObCgsy6leP3vgU8WEojkoqvd1rvyvygWmtp4LJvhbLVLqoTlm+qeE28bZ92VsKW9cAnA6dYnHW7udtKfzOtdg+6yfVjvUzNRIzWHUjCCIQ+SttfVlkXsBwyb7+dw/q7LodSUejyeTSV3XBUGQZVmWZcMwNE3jOC5ry1CaEmeUr+UiKgtuGnHivtigQ/9ViXehjk/4iUQimUyapslxHEKAEIhMut/3qqxaIMuvG1fH7OCQ+H5v/23FJjbU/TdXq3+nsT994f8lUvONbcBK8TUbLVJ5V5bdDSHw7FItt4sSe06vsclJw9eIcEVDWYszVR1r4NTxwPS3eEjb3Z+il27KRrO4uPj973+/s7Pza1/72sTERCAQuPnmm4eGhv7H//gf3d3dVH2mUCgUCoVCKYQK0DuD9n1XL5KOEg0QQHTlB3OT66qCtWlgjM9I73Pd1QjDADAD/S69wE6c+FHlRwk3Rs22u8eYWzKWi76zaob4jg83hJsam5pR+ydioTtPG9fNmv1LZsuo+ZZYwyc6+i+u/FiFsCw7zN28nhGypJLrFWpro6XnwmlrXw0dGXDXcjR0NuuNZdnSxeWqQtO0VCrlKM4Mw/A8n612WPuYulaP0CgVYSl9rts5SErS2gL/7C9ZNuIhP4BdrqIHfM8nhe6W1lIXYZ4XZvv/1K7sW9UE/kzjx/El/2cJz3TKpkEIeSXl7iMBAF5mWy8w2mgURfnFTI33ih3Bs1++o1PTONRSRd/2Sr2PbNteOf2zA+wjhMBc8GOyTKu9UTacv/iLv/j4xz++uLgIALfddtuzzz573333tba2bnVcFAqFQqFQKNsX6gG9Ywjuv1078f8KqFSJrbbMfw4PXtncc8mmRVUz7T37J09NthjPue5tgtOu20P2wNTseEOkCk/eSLQV4I65lSUzPigaYwy2TMKlpIsaW88ZRBTFjq4+gD4AqNfDa0t7z/SZ/ijj/loqh+O37HMa7Hv33KDViMq/hIwtZbVAk/A8clFv/fbwFNPh6M6iKFaSoVwDsixXbthaIrGR6AmAhjoFRSkDkpqgyLWtx/jPM/JNAGCaJkIo9y3DlaVSVo4syw14wHUXHyzvsBEIhpLHvpw5+dNQ+pVi0niSCS+G39nYcaCdpshtG144NQzAF273YXPVXq9T0E7Hci9nUB4EpL1x7RI6MjHJhqtQn1PTY0xneyUttUyGnfjXCBMDgAnhXe3NVAGkbAbZGxhBEGZmZu68886quv/mN7+pufgBhUKhUCgUyg6F3v3sGDDG0Hs3DP5V6WZd8OTkwGqo952bE1XNIIQa9rxz+pQVNV6sqqN37gGI3F3t4Xz+IPiDAGtJze52sxtAsO+GydO4hX1jPYNEtrQInq/nhvGJ7lbtV6Xlshnp+mypqSQ08OBSwBA2JmU1F0mSqioXhhCCYhI0cTcSoWwE/mDIWmSZHCfxLAzRG+1Xpuz9pmnKsqxpGiHEtm1FUWrIc0cIybKMECqc/xBFsZE9hZFLYr5FGNXjrWR8nuf5Ix9aWLkOhh8Iayez2w0kznmvkNsvkRVPpNqgKRuJbdvPr7rnoXfxmeMZ5Xz231AU5YHZGqd5DnosR2IbnpjiqlGfbdPo66joW29lebFh8YdOBYIJ62B7X41lGyiUmtE07Xe/+91WR0GhUCgUCoWyA6AC9E5CFKXV1s94J/6+dLMW9OrYcEOk69jmRFUzCKHAnndPv2FGzeOV91JhYTEeq1AM2g409L174gxqZU+Wb+pGzG4QxaJrwzeHxtZ9K6l2YepeGbvnLE+bfU1dZ7PVYvLlgcxPCpuZIGZ/3yBNpyrrT0VR+uz7iu5G9PK4eSCEFvDeCHmtcNe4tT8qTS5YR3VdTyaTTtYzx3E1ZNAjhERRTCaTAKCqau4Isiy3cr9X8axrx4HUpZ3VHMjrD8IFH01ZlmkaCBBmGJZlqy69StkUxianSJEk3wlDEDA4RU3PQxRFeWSegZoyoBkgb+lvBYDpmRk2FC1sYK0uYdWH3K7YQaIjVN6aZnL0VJf5gDOnGbeDbYfr43lFoVTCRRdd9KEPfajm7tQkmkKhUCgUynkIVVh2GD5fYDp+e9Pq/3L+tAnGyGV1cJv92ORsUzjSvLnRVQ1CKLD3xtODHf3p+yvvlZp+WfXUWB9v80EIhfreNTgc7YHfVNs3ZXvYro9sRFTVIssK6blrdnnBXngmyp7jUTBgv7W171ju01Qk2mYPIYzyJWYJlrPOGxvx9IUQqqqwYSO8VioITM15NxWm8S0wmy9AnzTfus/3IgD4yUgCQgDg+CHoei356YqiuMrWsix38U8IKFmsY0fv4RoOxzAMLYa2/Xlmzix2L7RgcR0SOT8tOBz1OWPXeKF+X7fEsmxG00x/xPVqz/iCrh2F2IIaLj9ZM3n6qW7mGed3G5C8767a4qRQauOOO+644447tjoKCoVCOc8hxZeyFkJn/iiUrYcK0DuPaGvXaOzqdvI4ALiqzwCAAFoT/7asflJWPK4Ntg8IoY7ewzFtj3T6bzioqOwbZy5tdFT1BSHU2n0kru9jxv9VRqvFmk3w1/Oe6PzclIziOsi+YFMguI2SJhFC/mAYgjc5b1I6neZ5nmGYwpXSCCEDRMHN07fNeuw0c6llWbUJiKUpJi+6IgiCh4yVaMDyLrUrKRuHx+tNz3gktOagohNBExv2KWsWPV48zjCR9RSuzE15ZllW085ebVRmsYT6fCp5cSfNVtulWJa1aJa6ETrksxOJ806AVhTlkQU2U+vrvsKbjoRbCSHT8QznESrsRQjByzPhqEu6dF6z+Jn/6GYm3vwTUu2f9VA7XQqFQqFQzjMsAppVqQDN1rlwDIVCqQX6QdyRdOy/YgbWMvJKOBlwUz/ZKeaVgiBYB//bhHiVXck5uUNeVB48zzM9nxji3pe0fXm7CIExdGW4da/P5+vt29fce0ln78FtpT4XIkkSwzCOlFyYITgN7hXbOEg5rqC6rqtqPb24RVEkhHg8nrK51R6PB2OMMWagqAhuE6R6/HUMj1IJqejtzi9TVj+rcB727GyNiOI871ImrnJ0XUcIIYRUVWUYxjAMZ7uqqq3s88V6mYRt79nudkaUmoknik48AECTYKfTpQr/7koURXl0gcnUOtfTxOlH9/UBwOLyMufJ/7IrBiGEW51rKac+W5aVGfhhOEd9Xgj/kcdb6VEoFAqFQqFQKBTKVkFzRnYq0QM3zr+WCKEhhCBuBTzMcmEbFS8Njb7R0rlv88OrAYRQuO/qjHXl8vgrjfGHS2RDm57ezQysvrS0dQJ8IqZlYkvTrDYBtmbzUSXUExHFsn23HF3XE9MvCca4TbAFrBfNZV2hk7ZnFfcr0YtFSQIAztsB8acKR9DAlzVUre/sCMMwqVSKEKIoSiaTKZEqa1lWSEqkseJWbW6Nedjvx3R+brNRPd7BxRs5c7zdO1C4l2PRerTA7JxHbpq8KIrd7EPFuhACy+ptXnom7F5yE+ELuShAEonak+53IrIsP7bApKwaU/79jPW+o53O7wksVHiLaVum10j6I2XKcxqGjkZ+4Mdr81IEYMb/oeZtbzVGoVAoFAqFQqFQgArQO5rQgQ8uv/b9AJ50VZ8dOs1fGbAzBGgHhmFCnRdY5OjS8qI+/VzUfo09N011HvWE2g5uVXj1QhDEcLQLoGurA6mC2cnhtszPPMh94YSC4wq8SKZfXLQ7hfYbQuEmiLs0k2E2WwWuvpim6SjayWRSlmWMcTKZdNW4GYYhNiOShWJD2QSJ0SvqHiGlElo6+sXpR113NeBTcdS+nnmLPIcWhmFC/BSLDNfGhMCc/H5/Eadayu4AlzTpPt/cn0VRfGaZTdaqPgPAzXsbnDKhGU1jJaWSLtrSvC8zwJpT8XkuLfSEW/e7rmLRNE0a/zaHz94PTIg3t7d21xwqhUKhUCgUCoVC2UyoAL2DQQgFDn4s9to/evFisTYYkdGRgY7OHZYyjBDyB0MQfI9Jrk8bemxxUovPs5zoaezxyAqtHr75aJrWrv2sbPEGBBDCI/b4343yN2X0K/fxTxY28MNYCoUI/W03mAAAIABJREFUIfV9H3N1yVQqhRCSZdm281fQI4RYkszgUKv1eLGhxoWbmiRqAL01IIRXjKCfc/F5D+DheWVf5TbfZfHIqJHJL3voQAgsqB/y+wL1OhZle+L3egBSrrs4RLLLNc4HWJY9k+aWjNovywcUw/OmsdLi8ioEGku3T81OdGu/VpyMZmdeUx8wBx8ZYa9r69yb2zKZTPinv51b2HYQ3t7bs+OnoikUCoVCoVAolPMHurJ4Z4MQ8h78VNouVWmwx3xg0+KpOwghnhdC0e6W/ksjXUdkRaXq85agjf288sYYkS7jfotwrnsj9ouSJNUprrOYpslxZ49ICEkmk+l0Os8VWpbliP0iSxISFJ22aWgsLKxI2TxWSU+xXWLxGp5VgRDyeYRu9jfFGoyhG71UfT4PKJHjLDCwEQK0oiiec6n7IWpAFMVZIg0my98TdvHuRjgStq8+0Hn275Jf1PHhUz0Tf3nI+HcF53+iWWT2Wg+ODp3KbrEsyz/9nVz1ecC6svfApWVDpVAoFAqFQqFQKNsHmgG940EICfs/mz7xtxJ2TwxkkDU5+FSk5y2bHBhlNxHC49V2OSi4GykAgIqXUiAmEglVVeuV0IoQcjVniMfjsiwjhBzfD0LIJL6yz/5ZsXEIgVwhm7L5eMN7YdW9KmCEOb4A6y0JiBAKqnZHcevnkfTBaA+dhDgvGJ8tOhH1tpCdSNTHggMhJIqihdgXltFS4hxpFgO5IeohBJLJxFYVDVZV9ckFvGJWNLk7rLtMH2IgHz0azZ3qCwf8s3b+MhfbNMzJV/cyj6Fyl9iw+TzAHgCwbZsMfQ/js2/EBFzcd/itlYRKoVAoFAqFQqFQtg9UgN4NMAzD7f1M5tTficjdWrcdnpld3uMPNGxyYBSKKy3WEyn1fYlEwjRNjHFdjFYty/J4PPG4i/N0KpXiOI7neV3XDcPo535dYhwDhPUHQ1kPDFv0iwmDWWymoUJYlm2Q4i2su8ANABlLbuq+subxKTuI4cmZX0+7X3wu9NvrsarneR5zgm6DTcAgMJ6CsXn35GIb0M+nEY/sqwMcg3Emk6n5oLWhquqDM8x6LsEYyIf3+/Pm7Xie98ZiSwbBvAgAtq5JC892sK9CKc/tswSYucVETFW9q0MPNeGV7PYZdKht/zvXESyFQqFQKBQKhULZGqgAvUvgOM7u/bQx8P9xSHdt4Fv8MfF/ivpXULYDCAgDOgBkMpk6JkGX0CUNw2BZVlEUQggGq8QgQ8alO6k05G7E0N01OIOII9bbCXGrblkZgiA08mNh9lSJNpnQByR6nTwPmJydf3DC3WFDZkiYNTJmLfMcoihmgHtiGaUrK+XHgm0C9mBrMM3t87o0kCQpk8lsRHK0IAirNv/YzLrOdhlbHzkS5Xm+cJfP6/UBAMDs5HB75r5q7zeTc68DOdCEXs9umSe90QM3rSdaCoVCoVAoFAqFslVQAXr3IIii1vs5MvCXruKJiJLTC5PBcOumx0XZDSRtv8qslG9XBWunaTqdFgRB07S6DFo6nzqdTsuyDCWT/Vq7aWGrLSa9OuFangCDlVdSsipkWW7mXvHiqRJtxuEdjbT+5HmAYRg/Gyl6zbkmTJKJqjORVdVzIo7GFlFVwrUJGAAWLe5Cj51M5k+uqKoKJafWaoNhGCzIjy4g3V6X+tzIGrcebWeYUlnNKwMPtqM3ahhctSeZmTPZS8GyHQ0f/EAN41AoFAqFQikP2uW1wQghW+V1RqFQsuzyC835hiCKZv//UXTvyhObGQxlNzGJLy/bhgBYUKl7csR+0cnHtywLAOqSm08IKaE+W5bFMIxAlkqMELf8HOeSykfZTFCRO2AGGZJYi0EKxtijqv38Q6XV5xHt4nC0t4bxKTuO7/5+xnX7UZ99fcROJqrLskcIqar6ixk8lKxOfc7lyUXM5pjPOGMCQL0WiGRRVXXQUB6aw+tUn69pMN9/rLOE+qxpGjnzD5Ga1GcASJuCDy84vy/ZzYGDf0SXcFEoFAqFsjEgwNX87EAIgGGTCn9Mm0rVFMqGQDOgdxs8L6Q6/zdh+G9yS8Y7+NGcsSUxUXY+nT17yeAvXR//p4zeZm4AAAhgG3gGKjrLVDLFccd0XQcATdNEUVy/+ammaSWSqQkhgiC0WA9DkbsmAgBtt68zhu2JbdtL89PJlQkVL2WI1+YCzW39JayWtxbMyeBujQAqmoqDr5JBHK3Ko4oA0Mw8L6NSEw+EwLBxRUvX4apjpexAjp8e1onLVNlFfttHUulkUYsejuM4jmMYhhAAIIZhYIwxxgsaPDlb+8MYAtLGaUGJN00TABiGkSR5PA0KkI1Qnx+YYYo9VAnI0kh5k2YR2R892uRqu5Elk0n7Jv9+PUkOi3Z7C5wBgFm7N3LwA1R9plAoFAqFQqFQdjTbVICgrAdZUVLdn2eHvsWhc5S4ebvDv1UxUXY+Q/jtPeSRwu2O+gwAGGwMNZbt4jhu/QK0aZqSJCGESgzFIGNIO9ItHC/cNU4uiwi7rQIhIWRm+MUO/LsWgHPKK048NG+2863vFkVpq2IrhqSGoYjdSxpCqipkVTmEkCNLqYoQxicTdqOMFzMkkCINCpoT0bIfj1VyxEHj6rbO/XUKn7KtSSaTTy67qM8ISESwk27qM0JIkqTxDPPaMmIRMQjeK6S8HDmelPaK6dfSslVsUqsyCKAxQzwQtNNJUFXPM0sI0nBpwIL1DZsHQkiU1V/OFkxNv8kxr3m0M/LPryyWGETG1rVRrqO1jJeXrmveyX9w3TWiH2rnT5Q24l87lqKACTNwMHro5rKNKRQKhUKhUCgUyjaHCtC7E1lWtd7Pzp66j8OmAAkAO447vT3XbHVclB1MS+eh+ODvPbhUJmlV8DzvZEDXEU3TAuxSQLXS0JDIgJNR6MBxXJQ8jxB0i68smxEOtDxXazm0t77BbDmmaWgjP+1k3d0GwuwYmf7HSeH6cHP/JgdWGqG4Jt7F/kazPeOeqxKJhCzLAWZMhCUGWQqeAwDfmtw8XNXhhs1r2zr3rCviXYdt2yuLs2T8KWSmbcyihj1qdG+J92UHcf8b8653PgTQs8vMEYlxTIEcWJblRWkiBa/PI4sgADAIAoAhXdQ1DADH08r6Q5KR9fYmZJqmLMu/mMEqQ65pJGkLg1a743keGGOTV345656Q7GGsG7o9DcEgADBAXPX0IGNe0Sy2N5cvI6HrujL+9wjchW5W8k/CVW3WY2XH6TXvn0YXNu9/V9mWFAqFQqFQKBQKZftDBehdiyBKoQN/kD75jwnUxESuCHgqWrdOoRQDIQTtH9LH/5lH601V3jh0XV+0/ZLIM9pkrzA6JV0uW5Mm9mgo0Gw/pcCc0yzAzhGCRvSDnfxr2b6CuKuqz9m2jce+F2RL5aQjBK36Lycm7XDLNhLfMcYJ06eyq4W7EBARx3rRg3Fvs4JmGVTEqqNixuGdze3U9/ksC7NT4tB9gfRAU66AGHuGDKPx1g839V+8daHVgcXllSWz6G3Pgg5iULJM07IshBDP8y8s45kVFzVWJ1VYS3iwFbdL+FoQE1DCICrH/nwa3dBkYwSzGfDzoJvrPb0dWJZNMdJTCy4xIyDXt3BdORnNt+/z/3ZoYVzjCAAPdpCz9gT43miDKIqVHMu2bWHs2xi5e/ETQGkcAVLR6xqDyzv201lzCoVCoVAoFApll0AF6N0My7LKgbvN17/rm/un+Gw43fAef6Bhq4Oi7GB4Xsi03sFMfHv9wh/UqfBgIaZpxhOmIDRp5pRlTDdLLwGBwmw8hEin8HrcCjCgyzg5Z3b4Slqa7jiSQ/eFSqrPWVqMX6+m2yVpG+nvMSviKkA7IES8aHKdhyAEZsX3NjZE1znOrsGyLOvp/6dZn3bdi4C0T/xwLtjuD0U2ObA68vjwEkCJjzl6YIZBgAUMPCIxa11VmsOscaiB625uFHj+Jy8NzxjFCrQinaDjy+aShd/TaE2l8XQGHQsQPZPmOM4w1lu4QVGU4zE8kXZ5LQHG/IOjrey5XvA+r+emox6nUjzGVf8H4kMPNiJ3F34AGGDfZ1kWxoxNcDGReq2lfXXfoSuqPTqFQqFQKBQKhULZtlABepeDMfYfvGPm1R83MWe8S99bWYgIPbfX8FRJoTgIgphs/aRn4h9QUSvRSiHk7AjxeLwudQizaJpmy5496FnLZMasQ13Cq67NPMwKIXAifXlDtKdeh94OxGKrYXaiwsYIAE/+BHo/uqEhVQXy7Af99MaNn7ZUO3p7YLuWYdx8lhfnwse/gaGUJggA4Ve+YVz7V5sTUt2xLGvaKD/JRABlbMjU6L9M3h2xuzvaIWeCzTTNGaPMmUYwc0OYIEDNEmmRwbRBkqR4PF5TDGtgjGVZ/sWMe/J1l6Bdf6S72Cxg1l29KpYW55tQ0Y+tCbxhWqZpSgKLSp5pw+y7e/svqPboFAqFQqFQKBQKZTtDhcjdD0IoevgDU+QwAPjxrDT81+MDL+VqfxRKVQiCmOn646S93pKWefoGW281cBHvJ4AYZHWxL6/ooZjlnv6PEOyTnvH6gvU9+taC5x6uqr2XXcqkUxsUTA0EGprMUq4F6+J05irc9tG6n287l6lTz0WOf62s+gwAxYx9dwQZrWhmbl0IsOZnLm7p6ezIU2+Hp+fLlhO8NGgDQMpCJ+P4F9P4oTmsrS9almXjjFJEfSZXBIz3HO2p+xoU39LPSow4w1wOAIqIeRIvdmQCMKnc1r3n2Aatj6FQKBQKhUKhUChbBRWgzxdaDt44hS9yfu9Fj6HBb8VWShW7p1BKgDFme+8Yk25N22rNg3jts8XiWJa17fL6V1UkEok30C1LuB8A/MysF+bGMn2uASfswC5bFuBn3AsPlmB+7KWNiKQ2EEJT+B11H3bVaJhXbu/oPlj3kXcuc2OnOifv3eooNoUNE885ZF8fhQ9f2Ol6GXlhtryU/PgcemAG/2YeDyURABzw2usx3+A4btaWnl92CYYBcmuncLS/q+bBi5FJp2RcNGWbAErjMMdxkj2PwP2lEQKz/o+00oqgFAqFQqFQKBTKbmRXaS6U0rTsu26Cucr5XUCp8OL3ls/8gtRb9aOcP0SiHajnrkn5lrgVKNZGs6Viuwg5m+OGMU6l6p+Bm06nl/CB7J/t3BsiWR3WDuU1S/ivr/uhtxYMVZt0t+fUY9wORJq7J/QD5dtVACEwq3XNK7eLHX/g9a03c383sbQw2zrw91sdxSbBcRuR804u9lt3XdTa3d7qutuyrCWr/HHTOVUNwzxp5oyaVykJgjBqiK/GXO7uWnn9kxc1RyONtY1cmkw6UWLvGPsOADAMI8m0Rq1nChsQghYbPxFt6diI2CgUCoVCOW8h4FoNZ+exO14FhXKeQ9cgn1+07b1q9Izarv/S+bMJn04PTVudd9DV6JTaQAiFmrqhqTuu67qWMfUEw4qCqCCMbdtiGDa+NNGUuM+17yrq4DjdSfTTdd3j8azT89Q9wnOlWATQxb48melvFgcd/XvIfmtLQ7jux91iiq9wn9M7I/xI4S4ebbBDQfWEO986OqJ28M/WPMKyHk7iHl/TAf/uqjBZFwzDiLzy9eq6IHGDgtkEeJ5v5/UxvW5nwkVe/YKeVr7kqVWtjsxjcpHPSKdrdMMXRfH1JD+edvn875H1tx/s2jhrC3nxl8VSGgyQdOQDAI7jWoxHOJSfAW0Szuz+bFhWNig2CoVCoVDOR3gF1m5FCEKolCEYw0H1ySsbAsMBKpa9RAghCOXcbWCqYFAoOwz6oT3v6Oi7YGmhJTD7HedPCcXtkW/O+D7cEI5sbWCUHQ3P8zzPA3hztnEAwMtBKJIYh5GVu8x8g3zJJbJQuLGFO72iN6rc6qB+SeeeXVjtyiaYQW6LGwi4qs9rDP1jrGF75Qg3dR5LmoenR17olX9frI1ps0PpI8FIH8+LqWQslZhnWUH1RSRZlTGWNzPcHUX6pR9UK/hNtH24ZUNi2STedbDtOy/NkBoLDAIAqNjaI+kHOptVRa5EzGUYJsQaCyZX6fgMqa0WK0JIluVnlplF3SWqi736xXs3UH1eWpyP4qKmXiPse+LxOMdxHrwko+UECc5xb8FgdJq/BoBlO+o/8DEOb5TnO4VCoVAo5ylWBipd8G4Ds02+iC0guuuONQU993mR0JXcFMoOgwrQ5yPBUGNG/RM88Lcc0gEAI9Ic++Fg8gbqvUipO4rq1WYlAaULd/Va959Rb00k1vTpRCKhqmr2z7qAMY5az7nu8jNzI/oFnXsuruPhtg8aUWTkkk5eWoAScDq8/L2x1Psi0faNiqx6WJZt671Mg8uGh97oFZ7AYGFECAECeF7vkFuu5Xk+u25fEKVAA51LK08qlQolX3HdNe65si3+ZOF2Aii6w+2zeY67vhk/OGWXSAJCQHpF44reiKKs5Q2tR7dFCL3/aPu3X5iyKlO9L/QTW8eWZeVtZxhGluXcNSIIIUVRTIJWDVg20LyGFt0XkJC3Nxh7e7trfgmlsW1rYeCRNsbdwMcEcYi9wbmqG4ahq9HTcJumaSISW4zHAWDCOtR2+KYNio1CoVAoFAqFQqFsH6gAfZ4iipK9/09XTvzAjyadLT3WA2MjyUjnsa0NjLL7mOcuazUfdd0VMH6fYfeZ5tqar1QqJYpibQmAhWCMFVlEZr6Uk4XsXhP8CbiqHx6srW+7dt/s4gf9DU31DWn9dHXvtWBv7tu5jVK1dxr28e8W2+WqPgPAVOcd4Z1fq7OrreWuRu3M5OxI3F42kG4jjSAAkDHxc/aRINPZ1pqrOK8/a5hhmKLXoAIemmfeHZFFRGzLSqfT8GZqs1PeEGNs27YjPY+m0KMzZd4ODOTWLinS2LauF1AELZNeHftdG/NKW5GUqTl8dMHuyOTMKSYSCYZhPBLqNn5MAMb569r7LtqI2CgUCoVCoVAoFMp2gwrQ5y8Y48DBj0+89mALetnZ0m49NjbKRTryS7RRKOsh3H5UG3xaQPmyMgII4+FV7lAssSZA27bNcVwNAjTLso6KjRDCGHMcx7MQtl7xmcMlenFyQ7UH2il0dPeR4TL5ziUIx/9dC3wO73y1keJKbGU5lD7tukvHKm+7rEJIs8FQ1y75ahAE4WB3e24u9zrTnEtDyP/P3p2HOXbVd8L/nXNXXS0lVUmlWlRrV29ud7cXwAuYGGwMxAQbPGSBMclAJhuTzOTNvPMmD0lIJs8TZsiTZfIkbzLJZDJvyASGBIcdExsb4gUbmxi8d3d1dy2qfdN+93PeP44tl6sklVRdKklVv88f/VRL50qnStKV9L2/+ztcIdzl9d7+/UsUAAISvbUbJEmeLMLLS3QowK+JcsMwAGCyQF9e3PnWYpJ3z5kBrQndzwv5rLvw7T5pMlIlenbBmJLfWSxZjL22M6eUBo1AnD0X8y4AwFLs3uGBpiTjCCGEEEIIoTaEAfRhl7r6h9NTRwaLnxf/HfYeuDStDY4ca+2s0AGzHv1AX+bTFROecf8rk6G7y503ytXQDQkEAgAQYtMBtqZCXufrtHrhc5kRa6NGE3tuzrgnZX5+d9tS4POXnk5NvGlvp4TahPTS31W7qmL6DAC5kz8da1pE23LNS5/FjZ+Nkqc3GtvK9Mn9K2q5z+GsSU5H/HMFerFYz2EhfkscTo+P7PnvZZolP/3VHjoLVaLnBenGAh20bccplMQlhBBd1ymlEVjo974OAB6X7ZGf6w9HKt8EQgghhBBC6CDCAjcEqdHj2f5/W16Xadz7SnrmUmunhA6Y7p74Bf+WildRYD38pXJQIu1qBYxisQjc7/efivJLBl+hUNcp74qi7eK+OkW8d3DaPbvrzcel7+zhZFD7sC0zZl5oaJO53jtjiYEmzecweOPE4IDi7jxuk35966qsj65AhJV23HBIdT56tvfMkaG9TZ8558sXH+ma+/MeOlttzJx082Ipms8XHOeV5YN0XR8wlk/wL4z53+j3vwMAWdZLTvxfIUyfEUIIIYQQOmQwgEYAANHuhH/0VyxmiP+OO1+YS0+1dEbooBk+en21q3S+Ue72sLvQhDG2i4bOShNOTm8fhJDkxA9dcne5yiIhu6xGR22uuJZuaPy6cSJ+6vYmTeaQoJS+77qxn39jvSH+2+LsTNeW/Bl8IP1dgRtiVRd8D1H/p67ufu+147q+x4fWZi6f0y7+0RA8VXv3HPUndV0v/zcYDCbp+aT/LwRAhSIAzPvHu67+qCzjuXcIIYQQQggdOvg1AL1CUVXl9H9Ye+7T3XSWEBi377s8c6dvF3zf0wOG0dVvhKL4vRHtGiGkwGIhWuFEdMpfqw20bbvc0LlRDtdUYtc5eNGfOMAtBQRCyODRm1dzV4VXP6dRs+KYgt8VkrIVr1qcn0oNTzRzgqgFvI2Z+gebcnfoxp9r3mQOFduua+9EADZc+MHq1r3ThO5IRHtyo/KRtuvCzk1XjV/pFLfJ57KR5U8fJQ7UsbO0aNx1XADQNM1Q3DHvvvJVnMOMcsfoKVxyECGEEEIIoUMK80T0Oj2n75156ZEh9ggAjLlfBQpAATyANYA1sJm+xI5riavDXfHdtUpAh9mqemPI+/r2ywOwFggERBtox3EMw6gzgKaUMvZKPaBpmmn1lnH+YD0bcg5K/631zrvDhSNRiPwMv/zfKubt1dJnAGB+XZ1MUGeharDOkavB05EbPtrUyRwqolX9jijhQwZMFqDw6uuPAPQo/kBYe3K9YgzMb03AqfG9TJ8558VCzlv4VlK6uD165gA5Mr4sX6fybNx/zuBLHujT8h1F06WUREPKqPc1umkf7nE5k7h3NNm/hzNECDUbY8x13Wy26oeEdlD+EJjP55vazX9/WJZVbmHUofxXPzoWi0XTrFz60CnEl5E2fwnUQK1CvR/4ADjUvVZy4xhj9Z+m6vu8/oihvAeoB2/eYM4L+bxd9y9Zfpnk8/n676U9McZs2+70s2bLj4hpmnXWi7SEZVnQ4NO+DWEAjbYaPnnL0vxwfOMzFLY+uTVqDdMfwMYP+Dqs8yErckNP7x43mkQHWGJgAqoUX2qQK0BjXTgopTHDdSDseszzPFmWg2QBtp62XgEHmAu8N3HImpDazNClnRvIbqYFQk2aDGohve8E7NSEwyfq4pGPxIeO78uMDpFxzb5k1+qPIRP+zl6/WDTfGjdeytNejcc1zhljQL++VPGbDX/vkDI00LdXMyzks87KMz3shR5iV1xp0AP9knynbduaxD0w5uW3qDxb9AzP8oIBbdD/VsB73Wkua34qdupDCTxijRBChwl+PWwDdXwp2h+kjebSDD7nz2e9+kPBIwEI4seiTf7Lp5+dX6n3W+rP3HX86iOxps4HNRUG0KiC5MCI3f0frAufjtCVigMIgR4yC4VZPy+v0FN6/8111nahw0yW5azf2yUtb79qyH/YDt1VKBQkSXIcJxAI7Fg3wRizoeuY93kOxJYjCpQktvMyXw7Xs70fTESiu/wdOtYl78arpIca2iSe2LNUC7WPYLhr1TgZL71UbcBM/IcTp27DxLAZ3nH1yN/8y5xZvbjnXUlWKBQBoFQsjEqEu7zkES0QvH+58iY/cSzUHduDT+Ge627MPdvjfq+HFgCgYsMNDrAg3ZzxE1ahoOs6Y0yiDABKflCR6Qh5IugtbdkkrdyeuuqNGEMg1IkopYqidHV1tXoiVXHONzY2RC1YOBzu6FMzGWPr6+u6rnf696lSqVQqlQDAMAy1w5dayefzvu+380tgB4pTfyRK6um0tVuUNLBOjySR+taSBwAoryFUD0Ip1F06SiiFuudBgNiceFtXj642GNirkXw4HG7oV2g3jLFMJqNpWjBYf7V9BSsZJ113AE1lbc9fleUzNgKBwOblTNqN2Kl29HMGMIBG1Wi6rl7909MvPDxCnqgxTCJeH/8Bn/uBCV3Z6Hu648l9myHqRIXAmS6nQpcMCr4CpVAo5Pu+LMu+7xNC+E5v5IVCIR28JeU/osPO58cVWKwU/5GuWPxwVT6/avzY1TDdQADtc9rR3+VQNYSQ0Jv+7ez3vzyUeXjz5UW5dzn5zt7x031KZ39jbGeyLAclZnqVX1lHDFYsFsv/FTtAxQjdX6n2mQB8+HR3yDCucEqlUsmf/0YPXA6SqutScyCX5Pc4vmQWTQBLXBgls33e03nSH+QrdNupl4zT3MBHh7oTVzg9hBBCCCGE0MGAATSqihAyevXbp6eGhwqfq13ARAgYkDWy/9vJaMvh98V7+7HiCVVU4wB7v/+dc87N0YAjMzPHE8FgUHSFrq0IiUvynT4JBPzFFHu01l2P3dt1iFfRJISktbtS9hfrHL+gvxejo4OKUpq87i4H7rIsq5DLGqGwYRgKwGCrJ3bglUrmqqdUvMqQ+FVdkM+/dtQtGAxyQr+2WCEVVgj7qWv6rqS4jHO+vroUy3wxRou1y55W6Zk1MlEsvJKMa5qmKdKE94+iMCjMF7Zvkmc9kdM/i6dHIoQQQgghhMoObxyD6jQyOuG5/7dz7r8HSG7HwSqxU4XPFnJRp/8DwVB4H6aHOovaNQSV27qADtlAIOAQQ7FnJa3e5g/FYlHTNFWFrN/dT1QJKi/e4nBNPsTps5DoH52+dNMI/c6OI5e9scToyD5M6WDzPNf3XM5BkmSlLU9E1XW9nU80O2AYY//rudWK7S0o8Nt6+eZDbuFw+GuLxK+0JlBE8j94bWrXJygwxlbnzvXbDw4Qt1rJs2CR7lnpbYVikfMiAKiqaqh8xPuaVHOpmcv0HeOn3ri7uSGEEEIIIYQOqsOeyKB6yIoinfrY/LlvD/iP1zM+RDOw9JfL80f0kXdqGqYb6DWGEeKcEFK5t0YPPzdbGpKMcQlcywVFUVx357bOAMA51xVgHq0WyeRYEo+HAEDf+Jtm06FB90Fa5SEAgDUvFR5/z37O6oAp5rPW3A9Ca98N268t9ueSwHL2J0H0AAAgAElEQVTq7vjEm/DskEPrH56Z4VU+dL2rj4uV0FVV1TTN9OGfliqnz1eHvB86Nbq7Cfi+vz77zKD/yBDwGlXPDOgaPZORJjzPMwsFMauACkPew6pX66wUl6v5vnvHsRMXQgghhBBCaBsMoFFdCCGDJ25dWzkZWfobmdSVCfZKF9nsn6W1O5JDp5o9PdQpJElaYkf7pPMVr42y82vGcYexIM1kbVWWZV3XLcuqfZu2bYflwpD/UI1gzzGOXcGsD5Te1FV5c7SY/vaAsvVR8Lm0qN4eHz3Rkom1A8uycplVyVuVWMGTeqRAPBqL1x8Z57IZ6aXPxErntl+lcHNw9jNs9nPZwFhp5Efi/cOYRB8q337h8kqV5hsy4RIBSqlhGBsOWSjCc7kKlckS8PcfMXrjPbu4d8bY+uz3+tzHUqTW8jsOBOfkt5qe6lgOY3kACAaDMX6ph70oeZVPLilbY6muEz/egw3EEUIIIYQQQpVgAI0a0JNIerFfXnjxi/3S6xKWGelWn+hj3v1bxlPCh51vFC48wUfu7fSlkNFeofEbYaNyAJ0hEyn3oYx8HKyNUOjqQqGgaVo9t6lAsXaYp5rnAc40PtmDSQ8Y+tF3F9zbzWLWzM54jqkFYkZsOGAE44cyFeWcz8+c7+ePd9HCa8sq+wAFcPPKDLwtNXJ8x1tYe+5rA6sP1B5GwY+Zk7GX/3B9+mjopo/twdRRJ5hKzz9fqJw+A8CA6r2YkyUSXF4jGbfyC3BYtd99emQXfYQ450tT30v5jw4SVq3q2QN1TnqrQ6OWZbmWC2CJNJwQ0s0nE+zZHe9lir5t7NRNjc4NIYQQQgghdHhgAI0aI8vywJl7piZfGNm0mtmQ/+0CGZyU7x7wHjFgbcsmIZrlM39yWXv/4NDovs4VtaVItNtaC+jU3H5VD38JKJw3Y6qaFPumYrFoGEapVKp9m1k+0FexteqrgtuelkhRFCUaj0TjrZ5IixXyuej6344Tv+ITSCHuEfinpUsXojXbkpB//vUBv1j/nXabF9Lf/2rvNXc2OlvUcSzL+uqcX2P/NGMrYEONAe9MsiMj47somZ+98NQR8sgIqXzbHOgl+T0+KKZp+pYP8ErJMyEkwZ6NsMsAIEHlds85Px6RVgHAYgHp2C+M1XekECGEEEIIIXRoYQCNdmN04pRjT7jn/4dBswBAgId5OuylN2A0AOsEtraXJQTGnfumLrypb+LNeOL5IUcIWVHemPL/udqAsM59Kvu+HwqFPM9jjIVCIdM0fd+vtolt20UlGYKlGnd7ZbNGB9P8zIUxuH/HZ0dSvjw5dX5otEIjF8/zlEd/XWE7NIrZbnD9AZu9m9Kay8ChDsc5/9ILi7v+rBWXvfedHmj0/CHO+dLcxWH7yxO0Qqt3DuBAeFq+w3Ecp2AD2OJywzCiMN3nf6PmLcMP7Lfr1D2hPsI5TJFbxk/f0tDcEEIIIYQQQocTBtBol1RNU09/bPb8U4POA+VIOQZTNTYZpd/NTk5LIx9QsB3H4ZYYud69+IRCKjQVtSGs00IRguJkc0KI7/uEEFmWawTQmqb5XNt24OM1WRiM7cXM0UGyfOnRMfmZOgcPwSMAWwNoz3PlR39rF+kzABCA1cV078DwLrZFnWJ2aWXF280HrTD13j0eSfR0N7phLrthLH9+hOa2X8WBLNHrcnTUNE3fem05QUmSggF1zPuqBDs0eiYErtEfAgCTh5zBD43HdtOQGiGEEEIIIXQIYQCNrsjQsTcWiyedS38fpQv1jO+iS/7M/7sS+2Csp7fZc0PtbEq64yj7yvbLNcgP+o/N+Nfa2jhjTJIk0zQdxwkGg7ZtV7ypSEiP249GpJUadyf3vWVv5o0OiuWpp4bqTp8BQKOlrGXqemDzheZTf9XDGui8sQXn1Y+Z1FTIZZyNWVh7WXE2dGfFVuN27GRw+I16ILDzxmi/cM6/MWMBNFbkrhF224Aylkrt4u5WJ7+Zos9uv0MOZF66uUT7i8UiY69Fz6LXc5w91+1V7stf0Ry8IXX1HUaj80MIIYQQQggdYhhAoysVDIaMq39qfuqFgdKX6hkvEdaX+du09xOJZH+z54baVv/gKMxWvZb5HgBQSl3XrX07hJCE/2xXzfQZAJzMZQhf0/g00cE0P/3iGH2i0a0c+3UB9PrSTJ/58pVMQ9H0hsZzzpemzyWnP9PtZzdfHvRWoPQSzN23GjqjX/MhVcWGvG0hvbjs8AbS5z7FfetINN4d3UWjqszGenTtcym6tV0+B5ijbzal/lKp5Pv5zVcZhhGH8z3eC/Xfmc0D1sC9qe7D3jgeIYQQQggh1CgMoNEeIIQMjl3tOEdz5/5PD03Xs8lg/jPL6k9G8QTew0pRFIvpOq3cu6BfnZpiE77vK4piWRYAFIvFUChUKBS2D/ZJreYbQtT6LgAG0AgAgDE2Ct/cxYaS9LreQd0v/0W1kRl1JOpM7zANIA2dCDJ7+cLw9F8Ps1oLcsYLz7qPnbdu+oSmYyl06y2sZQHqKhQ+bZhvOjas73Ypv4XJ74yQ71RMrSeVfwUAxWKRMSYukWVZ1/UYO9/NXpZghyN8m82w64ZO3aFj13KEEEIIIYRQ4/CLBNozqqrFT3/4kvr+ek4rJwR61v5u12egowNgLXJ3tasIMM65ZVm2bZcX4GKMbS8M5Jwvw8kCGah9XwYtFAv52mPQIZG59I1qBaY1dkiMk2AoVP6vZZqqX+FwiBBx0gAweeSXn+n9aLUxa6GzdRa6MsbcR373yOU/VWqmz4LCreDjH3fs3bSlRnvL0JSa13ONsHfE3Y/dkHrr6aO7S58554ULnxsl36n4TGKcTLj/YJolwzAopYFAIBwKnZIfPOZ9PsGeqz99Zpyu9X505PS7cM1MhBBCCCGE0O5gBTTaY0eOnuD819af/5tuOld7pEzchfmLvYMT+zMx1G7ivf0r2aGEVKETBwFfkqTuEHGJViq9ErqVSqVgMFgsbm25WyqVLivXBbQ3DXkPyWBWS1UK808Gj92+t78C6jic8351suJVRZ5YgxPD8EjFazfYcGjTf9dnno9UvxcKPgBMXPzDGjMJXvevd5wtAOTWV2Lf/y86VF2Bs9K9s9xzX4i/4cfr3wQ1w6mJ0fSzU5csmcNr+bAMLCzxa2Ps+NjIFea5lmWG5/5Cp5WfGwykaeUdLgQVe/6Y9zWmSpT74DV2FxxghtwyeuoWbLqBEEIIIYQQuhIYQKO9RwjpOf2TczOTvbn7ZFLr+y7hDZz/iw6ewMh7efpPt9fuKWAd9T4PAD6nl4z35fOvFC9Xy2tc13Vd92XpLYqi9NKLcfb89jHD0rMbxRuMYHgP5486ztJCeqTKVUGyEoTKzcQ5B5K4dfMlvpWtOLJOF4c+OiTv8P7LOV+++C9DM5/exe335550+I/topUw2kOEkHedHeOcLy6vAAGJSl3hkLbbPhubMcZWp76b4o9Xe4CX2XhWuzbkz46ybxCNw6sHRRqSZQl57MdHQ7jPRAghhBBCCF0pDKBRswwOT3juLy+e+0ofeWn7tStszNGPJFIn939iqH0oqjqnvCPlPlBtQJq+BQA0TaOUmqZZu2eL7/u+72+Ej1cMoAFAm//seuy9oUis3NYDHTaenQWp4a1m3dPJ0JaK593XrqZ7bk9NXL3jsIUL3xtN/+3u7oLs2BYd7RdCSH+ygWbfO1pdmk3kvzxEanVZiZHZXvfS7m4/7R7rlydXI3f3DZ/Y3S0ghBBCCCGE0BYYQKMmkhWl/+r3rS7fEFv+G0rY5qtCZM3quaNVE0PtI546Vbj4dIhuVLzWpj0EQOTFhmGYplmxC8frNrGdAu0NwfL2q9b9/tTGp2EDfC4xkBhQB4JZ5YSnDvQk+jGVPgxksBvdxOdS75Ef2nohaTzGBgCA2eR7e6962461yenpS+O7TZ8BYD1wPITlzwcO59yc/D+DdB4qPbYL7ni/8krorJDdn13k0yCc+I99O1XoI4QQQgghhFD9cD0Z1HTx3gF66v85792y+cIAyUXn//vs5RdbNSvUJgghVqLqaoTD/kPiB865aZq+7++Y3OmqVDF9XvGGBunL4meJ+ApxNGKFyVrKe2y09Pfh6T+Wz//R5fPf3+3vgTqDQ6ONblLs+8j2Z13P8M4lzNtNDXwweertOz6Hlxfnxi7+cbVrHWrseEfWwC07jkGdZXV5Ub3432J0vtqAcvpcTcZPnnNurjHA4Xpp5N+Nnnm3jOkzQgghhBBCaE/hdwy0Hwghx8/e4ro35M99NkbSr14IE+z+jQvfV0b/laJg8enhFe6Kzq2eHSQ/2H6VDllgDlAVACilvu9bliXLsudV7i0eDocm3M9XvEqDYu3cTyLeCXgQLjx4gb15cOKNkoS7xwNoeOQIzNQ7mHGajf+koenbrwpHewpKf8hdqPOmXGrkrvtPA5Gd4+9CPjf44u9Ve6qmBz5gGUOJ2fvCTpryyq8Cj2g9w6fqnBhqf77vLV98fFR6umLhc22cgwv6JXKrDO4R6ZtRaanKMHJZfueRE9ftQYNqhBBCCKF2w0Gq+3MU51yl9fazI0BUich1d7+jjXycu7ReXCk4dQ7uDWlj3TvXqeyC67OvPD3L2Ot+Sc7Bsi1ZkhRF2TL+zutTutr6r9KPPjb9g2cXdxzmuq7nukePxt55B3afa7rWPy3Q4aEoavfVH56fm+3e+AeNmOLCGF2EmT+57F2fnHiLJO3yrHbU6eJH3u5ffF4iFZbJOsq+fJ68jzFuGAbnnBBSKBSq3U61HtHz7sSAdL7OyRylj/FLj80G3tM7eByXcTt4zju3HFMf2XHYij9mDL3LqF4KKt30K4Un/iDkVK1IBQAOUFKSq6M/1j80Xs9SbrZtdT39O9WecyWtv6gNSAArQ++3ci8kl79ReeZX/3IPPm8PBNd116YeH6HfG23wvZEDlFh0Wb2pp288u3zxmPONGl+j1vlI5PiPHtn25QEhhBBC6GBgwE2P7TwOAAAIQMFldUbKlEDJ9b36hhMAX2/gU930hvnictVvvltcnQw3KYD2fPaV76U9v96U/fYzA3oblBc++d30//5Mvec3v+uOMQyg9wEG0Gi/DQwOweAvpy88OeB8s5yRjMnfY5f/ZV5/Z3zwJEZ+h9NG4ifjq/+z4lXH/H+8IN8DAIQQxhghpOJqhKqqFovFhcAb+tnTW66iULlWtBoCMGx+ZeX8c6Gj91CKrYoOlOEjZ9OXsyn52WoDHKavhu7qie+wcJwky9Jb/tP88oI0/YDilyRmS8ySfItyx5MMS+m1hm6L9g4pitJf38R831Oe/K8Sr9q9d37oJwLmghPoTy58OVy8UHHMXO+diURffXeI2pfrONmZRwfJ90ON7344kOLwv1MUJbCxps/8ZYRWKJxxuVZiIZ0WMz0/2tef2oMZI4QQQgghhFB1GECj1kgdvcGyzmbOfzEpXRSXUMJT9v3m5GP55I9GIl2tnR7af+FI12zxniGzcgONI94XL8p3AQAhxDCMikXQiqJomsb8resZMk576dQuppSg0/bkn9kjP61pjZ2YblmWaZYopYGAgWsbthtCSGL8h1ZzZ9zlJ/qUi4S8cjDDZcqSO6bGr49Ee+qvII739kPvh7dcqAAoAPWUPG+2/sx9g17l1TgZUApsYvIPOFRpw0DIZNcdL4avdYh8W6kUNJpS/oD2AWNsY+qxfvZ0iNR9Mufr2dyglG5M3t9HXqy20odM7IJ2Q+TozX14gA0hhBBCCCHUfBhAo5bRdb3vzI+try4FF/9WJba4MEDz+spfXVx5+9CRa1o7PbT/evuHpy+8cUR6avtVFDzDTxfpoCh/DofDhUJB0zTLsspjisViLCQNsie3bOuDpJDGKqDLNGLK039mjn1se3Or7WzbzmVmAgFCKdEUAADPWXMsblng81AyiXWpbSQciUHk3TbnjDHOGaUSpTTRuvk4jjOYe7zatRReOWdwe/q8HLjq+dhtK3KMvxqaPzRfunNcx8r9TjQ/e2nI/uoAcbc/0kv02rzfNUG+teONnHdvvuryn/ZV3+nN+mf6T96RwqUXEEIIIYQQQvsFA2jUYt3xJMR/5dyLzx3jXxaXEIAJeMi58Jg79rNy9Qas6EDqO/qW5QsrvdLU9qsG+ZPnvTtACfu+L8uyJEm2bQcCAdM0y2M8UqHwUyHukjeafP1tVq0k3UYinnz5f8Cxn689bHFxMRIqBoNbUz9KiWEAQLFUuLh9q0zWd1x5ZGQMO8+0BCFEkiSA1nefX3/hgVCDm3yv72cmtT6+7YnsEqlQLEbCjVZgo1ZyHEee/l9jtFBxx3ROen+cvzRBnqnnps6oD1S7Ks9i+vGPDuNpGQghhBBCCKH9hekeagvHrzrN+dVTLz8x7H+LEg4AKrWV6T9ejPx4d2Kg1bND+yoycbd18S90Wtp+1THyT2v+8XX5asYY55xSuiW3zefzk6G7JrwvbtnQI1t7aBCAOe9Y0TjLOafgcqIqvJT0njL48vb71Ulx8dwXYsfvrjZny7IioWK9v+Em0S4JgJvFS8WSr2qJSCTaWUk053xuafXhl1eeXX2tXcBQCK6O0xuvGjWMQAvn1lmGN6qGhptZUvSFnrvTap8p1WoLM7WaPYMBdPtxHDuzMu2UVhLydER5rd1K2jySolXbZQDAcf++K7xrmxvZ+I8m+/D9FCGEEEIIIdQCGECjdkEIGTt5k+u+YfX8VxPwIgEgAP25z87574/3jbZ6dmj/EEKswXvV+b+kpMJSxTF+Ic+HHRI2DMO2bUmSwuGwaZq+74uVCV2fTMp3j3tf2bzw4KB8Ie2cSMkvb76pAo9x36OSzEEFANNX59Rbj9qfqzirPjq5vLHcFau8MN3y0ky854qqaIOGBLCey6xaTrC3t78jYuhnzs98/oW87W+9fLYAswX29alLx2Pkx28cCQWDrZjdgcKIPBu64cWum7NSXc2dB7rwb94uOOfFQt5cfT4unQvTUhgAXn9cxmZ6klReUrJ+G35fhC5LlfaZHpeXgj+SGjupX+F9IIQQQgghhNBuYY9I1F4URUmeurs49LFVf0RcMlC8z7LM2luhA0YPGGvxrQu7CRTYqP+AxC3OuVgbkHMuSZKiKKqqappGCOFEvqjcnSUjmzdMqeeX/dHNlxxXnuzmk4SQEJslhCiKEvdqneGur9xf7argHi35pig0HDQz65Nra6t7c4vN4fv+nz/44t89WyF93uzcBv/PX59KL1QoKkdbOFLlDhxFufexvp/5+6Ff+0737XWmzwAQxtC/DZSKxfWph+XZv+zJfjqlPFPxrA4OkDGjCnF3fS+M0znjbpeGK6bP89KN0lX/MTV2cte3jxBCCCGEEEJXDiugUTsKR7rCZz60sbaszP99kGbX0z8YmLix1ZNC+yrSFVujH+lZ+Z8Vrz3CvpZnPdP8JkmSZFkWKwQyxkqlkq7rkiRJ3FySro9405sLiRPK7KR9/YTyvfIlvey5Xvs5ACi5L3POgzRba0pkueDYilqp9cGeFixrGgXIrixnwpGUrrdd2SLn/I++8fJihTCt0mCAP35s5VdvU7pjsSbPq7OtXvVLA8/97uZLFo2zz8Ruz8qNtoaGUVLSNPxrt9LC/GyP+0hM2tjxQ9bl4slx+fs1BljQNS/dMO7/U8VrZ/wzPeO3RhgLl76w5aq0f1Xy+LsHtVqtWhBCCCGEEEJof2AAjdpXrKeXd//C/MxkX2Kw1XNBLRAKd63Bv+lZ+euK14bpmi7JHCgAEEJKpVIgEAiHw5TbDCBT8CSJTxr3HHU/X96EAJ/QnmFcvuSeGZJe0shrlfUGyQABn9OKVYRlpWKuS01svzxfYAF9j08oCRrEd9PpVTmVGgWAXC63vLwMwIPBYDLZR2nLzl/52lPn60yfBQ7wJ/88/xvv7bD21vssnuhdOvOriWc/RYFd6rrtmciNLq3wBq0w95RqnfcCpSpv3xJn14z1N3myqDLG2PzlfxlVnx4lfj0LW9q+PlYzfQYAHbIV0+c5/2TX2G1J5ZXlBGeNe2j+JYnbJdJj+/ro8WuHDKyCRwghhBBqOpmSOpe3JwBZh5mEAUApb+345cj2mELr/QJVtN1zS/k6B+uKNNJd77mVBEhYkz3GX38xZ4wRsnVNJoRqwAAatTVCyODIUQDgnNu23erpoP0WCkdX+UdiK/+fRCr0epjwv8A5ed55ux6MGoYBAJxz04GQkg2HIkAIY+y8fM+Q93AA1stbUcIm1O8DwKo36IPaSy+X3zNrp881JBIp4Iu727YGQkh31C8VLgKATGGgT3y4Ma3SZQCwbCbJiUikaz/f9R3X/daMt/O418u7sLqRSXRjWW4tsXif9/Y/eOj8XKZ6qw2XKi96klOlfRbh/I5UsIUHJw4t3/eXLj82pj93pO6CYw4Ajk0afKw4h1U+qo+8J66qmy/v7R+B/hFCSD+WPCOEEEII7RfOoeT47tZwtqrzFrd9BgCwvrHTWLBMd73g1HnL+ZL99PTOtykMdOk/fdNYnYM58PWc5fn1/o4c6h2JDhv8moo6AyFE13X19V+50WEQjnTZox/LsL6K1xLCT2vfjLk/INwDAEKIpmku7QJCbNsuFosAcJG9eVq63Qdly7ZxeSEpTzMiX/Ku4fW9SwZD0cqXB4P5Qs12yJU4LnFdqPOut9M1qkhruczFlZWlXd5E485N7/K+vnt+YW9nciBlc/ka6bNQLX0Gzt+WkAPt17PlYLNta+Xiw8bCn4/pzzW04WT+tEat+sd7XEnTm0ujvxQ5+v7tb4Vi16dh+owQQgghhBBqS1gBjToJpVTXdd/3XXf3SzahjiNJUmDiJ2YvPTYE3604IE4m4/7kMjmz6KR0XRcVwSKOcRxHUZS1olPUf9iQ7QHvURUKr7txwsbVZzN+kjIvQtdqTGOFjUeUrSl2WVd02HPStO6TpADAc6FkyQCEEN4Ta7isWFAUoiiF+flsX9/EPpS+Tq3kdrfhfAGPhO/s2cUsSLvpnBBg7m0jUTxEt58syyrO//OAeiGyLfXlADYL6LTy8rmWb2TtyFH16TrvKMd6sqFbE33DiUrnOhBCVFXFkx8RQgghhBBC7QwDaNR5JEmSJAlj6MOmd/zNK5mTXWufVUnlZiy9/FmZLhOHLStvFlGs67qqqtq2Lf61LJ5XbtU0jRDe7z2xSk8l2HNBvggAUWkFAC4719RoycpqdnXVdX3D7FbJev1JkGFww/AsixVK2uq6HO/eZQYNANGIlMteDBjDbVsC2R3AE252wDlfpfX2Ytss6edvmkhh5419Y9uWNf9wr3Kpq1LgP8PebEP3BP1yxW1nzBP95KWktPMJkiYLrilnQ72nA0awt8oYVVXxcUcIIYQQQgi1PwygUafCGPoQikS7/cjPzV785pD0fMUB3dIiAMTYP9osNEVvVxQFAER5oEhmOeeEkG7v+QBfGfAfV6C4efMx9dkS6/KYEqGr22/clXtqTy8W687lZAmWG6pG1HWqaa7fcAOPrVSFuvasbScika4rva3qYkENoIG+AWXj8d1Eq4dOg2WsOnPf0mdEwsPNmQ2qYPHyd4flpyJVzoVwmTxMH6t41UXzmp7Bs0Pzf1F79+AwLU3eEE+dUTW9YsmzoGkaVj0jhBBCCCGEOgUG0KizSZJEKWWMYQx9SFBKe4++I718arDwOVJ9fQMNCsfZFzgD4DDJ3wZqNwAA59TLDMPjClhL7lifcmn7hgbNcwIvOW85qTy6+XIf5NjIjTtOLxKJcB7ObExqagNliYSAvBc7Y0oJ4SuZDItGm7Xc35mx5BfPT+9iw6tGK3fxRmWEkKSXX5Qj9QyWgJ1WSmNDKUwh983KyuKAdd+IUquZjEIrnMcwaV47eOTGFKWZ9ZWKDxcHcsl7QyB+ors7TggZrDkNjJ4RQgghhBBCHQcDaNTxCCGiGpox5jj1rhKLOlqid8BO/PvS5Oe6pfkawwgAEDhKHoZXQ6FL8p0XrZuPy99KKpctZui0VGErAie1x/N+N3Aephsel/NkQB17v1xfSEwIiXUfnZ+fCwdNSdrvnIgQosrrrhtUlKa0A46EQ8dj5NxGYw2d7xhT27Y3SFu58ejQty8ublC9Wi005SwO1jX90VAwCLBDST7aK67r2OmvpJSFhkrUGSez7nXJsRuGXs2Lo92JOf+DhXxOAodxqhvhWE9SdO5O7XRr2OsZIYQQQggh1LkwgEYHh1iiEGPoQ4IQEjz6Y3NL892FrwVIvs6tRr2vU4XNu0cAoMCix6qvAxaWMgCw3vdzwWBoF80jBgYGAWBpcYHSQtDY4yatGxkvFq21985uTMV7j+3tnZZ9+K1H//NXztt19ww50U3fcf3RJk3mgKGUvu3oQL5QWNjITVnUA+oDUYGpwPo0PhgLR8LhVs/x0Flbmu53vhqqWfi8Rd6PrkpvHhiqUPYfT/TFE42dDUApVRQFo2eEEEIIIYRQ58IAGh00Iob2fd/zPM4bq9NEHSeeHOC9H03Pv9xvPSCRnTNRShgA9MmXC37XgDq543hd169kesm+fgBgjK2trXhuTpKAc+CcBw16JcXR0S4pl/Mikao7cMOQFhbm+/sHdn0XNaiK8mvvHPvUP10u1bFo4psHpbtuPN6MaRxg4VAoHAo16wACasTK9JMp6ek6C58Zp4v+KT1xXTAY2pPXniRJopE9QgghhBBCCHU0DKDRwSSacnDOHcfBGPpgI4QkBk/a/rGNhZfj1j9rdOcl8ihhGrVcriqkVrG8yYKUSlc+Q0ppIpEESJYv4ZwvL80bgV326CCERCJyqeQbRtXphYMVuovslaBhfOK9Jx/83rkHplm1Md0a/OxbBrtj0eZNA6GmWr782JDy/XpGrjqDfuzmrmiiZ4/qlGVZliQJq54RQgihluNWAfw6yi4ENUCUpvSd474HbnHncYLzysjy12D8SNGJROlSvYMbeb70QXkAACAASURBVJB9xnNmvWtoWU7dp77uDsY1hwYG0OggI4RomsY59zzP95u830QtJUlSPHWK86sKrrM0+3If/16QZmuM16i54fdGyVK1N+oi74LRD8vNCYAIIcm+Qc75/NxsV8ShdDf3YhiS7/NqETalZHZ2emho5MpmWhWl9I43nrztejYzv/TyXObZFbZmQViFwRCc6VVPTQzpuFQa6mS5XKZ2+uwz6aJ1XXzgRMAIhemetdlRFIVSiq8dhBBCqE24X/o9PvNcnYPlO35OOnNHU+axdoF9+1P1Dg7FSf1LnEsyVF/aHbUQY8zzqpb7bEGhgY+j6Y3ir32urjILAADezCeI54Nbb1CDlYWdDgNodPARQhRFURTF8zzPq/vwNepAhBBF1VJHzgKctQHm56ZHrC+IthvbxaTlc9abjmvfFf/lHDhQDnSOnZKiV8V7+/dhtoOpYQDwPG96+nI4BEaAAEA5euIcamfTkkQ4h2pRVVfY5Zw3NcmSKB1L9Y+l+t/dvPtAqBU819ny4uKcMKCrbqqknu4fHCaE7O3hHVVV6d4F2QihQ4tzvrS0tLq6yjnv6enp7e2tcxVlhFBlnAGvNwRsZi1nQykgE4Pr+hqAoV67ajD4bWxs/Q97U2NfzoDhE/DQwI8j6BCRZVmWZd/3Xbfe801QRxsYHHH4Ly1dfmqIP05JhXe24/pTk3BH39BxQkj561ly+7gmk2X5yJHKy/QVcpM1Mmjfh6IpRUKVDxrLMllZWent7d2bWSJ0mHT39Nrdv1Ao5D3XVtSApmmiHXMUYG/byhBCVFXFkmeE0J7I5/Of/OQnp6amSqUSAAQCgUQi8Zu/+ZvxeLzVU0MIIYTQoYa1NujQkSRJ13VVVVs9EbQfCCF942+yRn8xrb7LZKHtA47wB/L5bNsWB/k16y0kCXS11tEUzprYCRqhg40QEg5HYt2JUCjUjMUAxZK5GjarQQjtkXw+/zu/8zvPP/98d3f3nXfeeeedd46MjExNTf3Gb/xGoVBo9ewQQgghdKi1aeaCULOJb/7YHvqQkCQpkToJcHI5s+4uf7ebTgfoK8ksIdC78XeFwE/rAaO1k6zIsohSITZ/xfKq0xuvfSil7hMGEUL7BdcYRAjtOc75X//1X7/88svJZPIP//APxWEzz/N+/dd//cUXX/yt3/qt3/u938PdDkIIIYRaBQNodKiJ9tCyLDPGsC/HYdAV7YbouwCg6HmObRbWpnzPopKsmsX2DKC7ooO+O1ftC+NO6TMAkfZ8SgihXcN6Z4RQk1iW9dJLLymK8vGPf7x80oYsy7/6q7/6kY985Pz583Nzc6lUqrWTRAghhNChhQE0QkAIkSRJkiTGmOM4rZ4O2g+yLMty2Aie3s87ZYw1usiYrutTi7w3vtvEiuNOHqHWkyRJlmWMnhFCzVMoFObm5kZGRpLJ1y1mEY1G3/CGNzzxxBPnzp3DABohhBBCrYI9oBF6jejLoet6oykhOsw453UuDbyysjI7O9tov+nR0YlcfjedNDjn0RguOoRQK8myrOu6oiiYPiOEmiqdTgNAOBzWNG3LVePj4wCwtrbWgmkhhBBCCAEAVkAjVJFYotD3fezLgXbEOU+n07FYzHGcnp6eGiNFUZLneY3eRbJvYn7uUiza2FbZHB0Y3PotFCG0Dwgh2zMghBBqnvn5eQCoeLgrGAwCQC6Xq7jhfffdx9jW49zFYjEcDpum2YSZ7pny4X/btg/AQb4D8KWj/BHXcZxOX2LH933GmHgJEMbqf3q5rus054VDHKf+BZE5h/rnzIGTBoY3hnPewExYI4PrKwAq33IDgxu6aWhkLABvZHxjv2ND82gm27ZNWm/5FOMNFFq5jlP/G1OjX7pd123skd9flmVBg0+JNoQBNEJVib4cuFAhqsbzPFmWKaXDw8NNvSNCyGDqSD6fc6zFQKCuts6ex/sHxps6K4TQdrIsN3qWA0IIXblMJgMAgUBgexQrdkrVvrR/6lOf2v4tfWBgIB6PF4vFJsx075VKpVZPYQ84jnNgOgGKoOQAEC+BgO/X/75u27bbnBeOZJoNBNCN5K2NayxCrT9TZoxLdY/efuSs5jQaGtzQL9hgJtjQ2IYexmZGkw3ddLFYlFi9z9aGHkfTNOt/Y2r0qJ5t27ZtN7TJfsIAGqFDQSxUqCiK7/ue53X6ax7tlYWFBdd1u7q6urq69ucew+EIhCMrK4sSyel6rRg6k/WTfUcOQDUQQp2CUioOR7V6IgihQ0rsfyoWfInPrvipAKHdMd/28+DXXUqpBpo0Db9rLHPzJ+odTQCa95KntP6sk1DSwLfnRuZMiBz1Gsj6Y3XfNpdgoJGHkRtSIwmBVP9Y3qs0Ej6Q+oNizoE1WBVe/+CQ3kDM+Imfuab+mQQD9R+FgQ//61M/9oETdQ5WtbpqvNAVwgAaoXphQTQCAM757OwsAGiaNjQ0tP9f5xKJPoA+z/PW1lY4y4dDtDwH2/YzOd7fP9I/oOH3TIT2h6IokoSfWRFCLZZIJADAtm3O+ZbPAKIKLBwOV9zwE5/4xPZk4bOf/awsy6FQqDmT3RvFYlHM3DCMjj7+xzkvFouqqooegJ2rXMQdCAQ6/Z3RsizGmGEYAABt9EJosB8fQKFQgFdXpGjCfPaPeJl0+osdAEqlkqj5DQaDHf19jXNeKpUURbnCHVfzXl513nJ5x6VpmqI0EHDvM3EyU0c/ZwADaIQaVS6I5pw7joMF0YeK53mFQmF4eHhmZiaRSJTfAHzfX1pa8jwvFArFYrF9eGOQZTmZ7Afo33yhEYJYrR7UCKE9Qynt9KQAIXSQpFIpeLX37pZGQOvr6wAQiUQqbvjud797+4Vf+tKXJElq58RKZB/ic7imaR0ddzLGisWioijt/AevB2NM5DhXnkm1nDhs0+mPCLwaQFNKO/138X2/WCx2+oudcy6ObQCApmkdHaaLJult/k5Rj3JlYZvvhA/GyUwYQCO0S+U1pjzP28WycqgTybIcjUYBYHh4mDEmekBPT08zxiRJIoQUCoVgMIiLjyF0UBFCVFXt9A9/CKGDp6+vT9O0tbU10zQ3Fztzzp999lkAGBgYaN3sEEIIIXTYdfAhF4TahDinSVXVjj4ei+rHGJuZmSkUCvPz81NTU4VCQTz0YjVCTJ8ROpBEiYemYX8bhFA7CgaDY2Njy8vLFy9e3Hz55OSkuOTUqVMtmhpCCCGEEAbQCO0RSqk4awOL4w42znk6nYZX1/kpFouizohSKoLpFs8PIbSnJEnSNE3X9XbuCocQQrIs33HHHQDwyU9+8tFHH/V93/f9559//nd/93cB4CMf+UibN3RGCCGE0MGGLTgQ2mOUUlEDW+6Dhg6YSCSSy+UKhYJouBGPxwOBAB51QO2Gc845b213OVmWO7RDEaVUluWO7s2HEDpUCCG33357Op3+whe+8KlPfWrz5bfccstdd93VwrkhhBBCCGEAjVCziNUeOOeMMbGQBToAbNvu6uqybbtQKIh0T3R/bvW8EAIAWFpasm17eHgYAGZnZ3t7e1u1mIY4F8S27Zbc+66JZWYJIfiiRgh1og996EPXXnvtQw899MQTT3DOr7322ltvvfW6667DfRpCCCGEWgsDaISaixAiSZLoEey6bnmVVdS5FhYWynWR+XyeENLT07O2tjY0NNTaiaHdEUeJMplMqVQSy1ITQgYGBmS5vd4iNzY2fN+Px+Piv5ZllfsRi1+Bcy6OdU1PTyuKkkqlthfwijGifp9zTggRafWuiRWZRbU1Y0xRFFE77LquuKpTKIqCffwRQp1OUZSzZ8+ePXu21RNBCCGEEHqd9vp2jdDBpiiKoiicc8/zMInuUISQSCSyvr4uSjvD4TDnfHV1lRAi4rxWTxA1ZnFx0bIsx3G2nKYwNzeXSCQMw9ifaYjgu5wXK4rCGBM7CjExSmkkEhFTZYwVCgXLsgKBgGma0Wg0k8n4vm9Z1uZ+F6ZpapoWjUZF30/f94vF4vr6umVZ5f1PNBoV91VxjyR2VpIk2badzWZ93x8cHBSzLRaLIhAvB9Dlafu+L9olN7X+ulAorK+vDw0NXeGLDnNnhBBCCCGEEGo2DKAR2m/iFG9MojvU0tKS+EGSJBH2SZIUCAS6u7tbOi/UAM757OxsKBTSdV1Et5uvJYQYhrFvzX89z6OUptNpsY4lbKopFktIiQEAIEmS67qSJDHGGGOSJJVKJQDI5XIVa40tyxKBdSaT8TzPdd1yV3rROkbTtHKpsoinASAYDIoW5yIBZ4xRSl3X1XW9u7s7l8tlMhnXdW3b3n6nlmWVfyCElEolVVVlWZZelUgk9uSPtry87Hnermu3xYkp7VbhjhBCCCGEEEIHFX77QqhlMInuRIQQURMaCATy+TwADAwMYOFzR1hfXy8UCslk0jRNAFheXpZlefvrLhgMihph0zS7uroYY7quh8NhSmmxWJRlWdf1K3zEZVlmjC0vLxeLRVFKLyLgaj0rxCTFv+UaZxFP73hfpmmK37f821FKxT7HsqxSqbSxsSEKvcVeqNrNWpa1sLAgGn3U8zuK38g0TVmWNU1TVTUWi4kTBerZvMavs76+TikdGBjYxeZY74wQQgghhBBC+w8DaIRab3MSLQoeWz0jVFUqlcpms5IkbWxshEKhQqEwNzc3MDCwbwWzqH6+7+dyuVKpJEJV27YVRVlaWrIsS/S1qJi0FgoF8YPruqurqwBACBGV76JCWZZlkWOKJJdzvmMprud5+Xy+PBPRRkPc2j4TZc5biEMpte1itoFAQET8nHNN03Rdv/Kdm6qqjR7yIYTIskwpxQNFCCGEEEIIIdQSGEAj1EZEUCJODPc8D5PoNkQIiUajABAOhwFgdnY2l8v5vh+JRGKx2MLCQl9fX3ldOAy8mqTG31YU2K6urpZKJdM0t0TMolHyLu5u8+24rltuGB0MBmukz77vz83NMcZKpVJnrci3J0TldTgcDgaDhUIhk8kAwPDwMOfcsqyVlZVd9NBoqH65vEgjQgghhBBCCKEWwgAaoTZVTqLLq5ChKzQ7Ozs0NHSFN8I5n5+f9zwvmUzquj40NDQzM1MoFGzbzmQyhJD5+fmBgQHHcdbW1nbXJQDVwDlPp9OMMULI+Pj45oM04qER7Yn34eCNoiiRSCSZTG6PODnnrusuLCw4jlNuu3xo5fP5fD6vqqqiKISQ6elpzjml9MpfjBURQlRVxdwZIYQQQgghhNoHBtAItTuxeBcAMMbEcmGtnlGn2qvAS3RRmJ6e1nW9p6cHAEKhUD6fF8cJCCGO40iSpKrqntwd2kz8eR3H0XWdUqooilglz7bt+fn5bDa7D3PQNE3TtK6urkgksvly3/ez2WyhUPA8z3Ec7Oq+2ZYsPhgMzszM9Pb2BgKBPbl9sagg5s4IIYQQQggh1IYwgEaoY1BKNU2DVxsCYIOOfSZqWlVVTSQSpVKpWCyWSqXZ2dlgMMg5lyRJBI6c81KpBACGYayurrqu29/f3+q5N4tt23VWmxaLRcMwRHy8uLjY1dXV1dVV5y0rigIAhBDTNOfm5kQPDdu2X3jhBXFVNBrd2NgQf/bmoZTqug4AkUhEHHjwPG9tbc22bdEM2rZtsaIgqkcoFBJ/z13D5s4IIYQQQggh1BEwgEao85RbRXPOGWOe52FZ9D5QFKW/v9/3fU3TKKXd3d2ZTEas3kYIMQyDMbZ5hbdSqeS6biAQyOVynPPaeWs7y+fztm3H43HR/iIajYr+1wCwsrIyODi4uroaCoWWl5eHh4dd1y0Wi8ViUTw5Q6FQd3d3LpdbX18XQaG4XPxxSqXS0aNHOefT09MA0N/fPz8/PzIyUiqVlpaWxsbGOOdLS0umaYqDLrZtl5fCK6/mBwD70HND13URdou2xel0mhBiWdYuOkofZpTSQCAgVuzknJumGQgEGo2PKaUid27OHBFCCCGEEEII7TEMoBHqYIQQ0aBDBNCe5+FZ/02lKIosy7Ozs+K/Q0NDoVAol8sVCgUA8DwvHA5vjqHFanXi0cnn86lUqlUzb9Tc3Fx/fz+ldGZmRlwifgvO+cbGhmEYoi2MSJ9N0xTVx5OTk47jbD4cks/nM5nM5uBYEH+iUCg0OTnJOS8UCoFA4PLly57nXb58WTQLvnTpUqlU2rJhRftwNoBIz1OpVKlUEisc4mutIYSQUCgEAIVCofyK0DRNVdU6lyJUFAWLnRFCCCGEEEKoE2EAjdBBUO5UIIo0cd3CajjnVxhgEUKGhobEjSwtLdm2LQo5RRxp23YoFAqHw+WUDQBElXQoFHJdVzxA7Uwkzoyx8+fP9/T0SJKUyWRCoVA5iQaAdDoty7LodLzjInumaVa7SgT3QrmBRrut2hcKhQKBQCKR8H1/Zmam/FijhnDOxQuhTBzGOHLkSI2dlWjzjaEzQgjtvzb/MMk59zxPHKV2Xbeew9VtS5zO6LquWH68c7muK2oCXNft9Pdu8aRq55dAncQjQint9N9F9J/s9Be72HGJB8XzvI5+mYgdlyRJnf7UKu+4xBOs1dOpqp3nVr/OfpNDCFVUXrew/On8kPfomJ+fLxfJljPoaDSqquouutCWPysoimLbtui/oeu6ZVmO45RKJUVRenp6bNveHENblrWwsBAMBmOxWNt2D3BdNxaLFYvFjY0Nxtjq6qqY/+akWCj3vD7AgsGgLMu9vb2Li4vT09OO4xyMN/4WopSqqipqmcVrYfufVLQYEnswhBBCrfLwww/fdNNNrZ4FQgghhA4IcshjKYQOD8aYaJvb6om0RrlNhOd55ZXiOOeixNIwjK6uLs75+vq6LMuRSETkyNUKlkUDbkKIaMAtjmDPz8+Lay3L0nV9eHg4nU5ns9kt24bD4Z6enmAw2LTftWHpdHpwcFB0Z87lcsViMZfLtXpSrRQIBGRZJoSI+q92K8ruLKqqaprGOdc0LRQKiUYcW5S7CXV0JQhCCB0Yly9fbvbSvlfI9/3f//3fz+VyiqL84i/+Ynd3d6tntHviAxghpG0LFOr07W9/+4EHHiCEfPjDHz569Girp3NFRPnOATgc/tu//duu6549e/YDH/hAq+dyRcTLpNO7sfm+/1d/9VfivNKPf/zjgUCg1TPavQOz47r//vsfffRRAPjABz5w9uzZVk9nB6Ojo20VIzQKK6AROiwopSJshQ4Mo8Xb25V84FhZWSn/vPmmZFlWVVVV1aWlJZFEr6ysZDIZALAsKxAIdHd3i2iMUlr+GLq8vFwqlUKhUE9Pj+/7GxsblmWJYT09PeJmi8WiWCpty5li+Xze930xsk3eP5LJ5Orqqud5YlW9jj617QqJxQZFW2o8QLsL4g8oTjiQJElV1UgkUvF5LkJnsV/a92kihBCqZWxsrNVT2IHruisrK8vLy5qmjY+PDw4OtnpGCJ5++unZ2VlCSDKZPHXqVKungwAA5ubmbNs+deoUPiLtwHXdfD4v1hM6duxYJBJp9YwQPPjgg+IRicVi+DJpNgygETqMymE055xz3uZhNOd8aWlJnKovSVIsFiOE5HI5VVUlSVIURbTRqB1PDw8Pe54nOhe7rltuLmHbtmVZS0tLoqJZFL2KY7mi+jWfz4ukjHOu67pImQ3DYIxtbGysra2Vq6QJIY7jbGxslEolx3FEcXTFydi2bRhGNpttYQC9uLjY19cnfvZ9P5/P12jWfHg4jiP6erd6Ip1BURRVVcsJsnh9AYBhGMlksuJLUpIk0eOyowtYEEIIIYQQQgjVDwNohA41Eblurox2Xbfd0jdCSH9/v/iZc76ysmJZFgCIThrlvDgSiUSj0ZmZGdGOWYxPpVK5XM40zVgsJnJqWZZlWR4aGspms9lslhBSXs6i/IuLUL78szjDCDa1Ql5fXy+XNpfvS1yyZaW1ikTgGw6HZ2ZmUqnU/leAptNpxtj6+ro4ZVXX9WAwqKqqaZqHvN3EYa7+rp8ocxYt1KPR6I7jFUU5ACexIoQQQgghhBDaHQygEUKvoZRqmiZ+5py3w0LDnPN0Ol2OhkVOWs58AUD06iWEmKZpmibnPJPJiAZhhJALFy7ouh4Oh5eXlwGAUjo4OChKL7u6urq6usRdrK6uigVw62+8sP0v0+jfyrZtTdPS6fTw8HBDG165VCoFAOJvAgDT09OFQqFcvopQGSFE0zRxgEqEyMFgcMfQGXs6I4QQQgghhBAqwwAaIVQZIURV1fJ/Pc/zfX8fiqM9zxMdQkSvjJWVFd/3KaWi+ljUFxPSwAKqhUKhVCqJ3hrwasW0aLghOniYpimyY0JIeYU00QW4Kb/hq1zX1TStnPjvv97eXsdxLMsSVc+YPiMAUFVV9C6nlIqDN+LUgR2JTUR7DYQQQgghhBBCqAy/KCKE6iI6V8CrLSk8z2tScbTrurlcTrTXsCxL3O+WLLjRHHzzVJsdK9dP/BlFFfa+3WOxWMzn86LRCmPMcRxCCEbPSByMURSFENLb21vPcRHR+kYsJLgPM0QIIYQQQggh1KEwgEYINUa0thDF0SIIZozVWHCvUYFAQNd1sRZtufSyoZLnNiT6hJTbSXPOQ6FQKBSKRqP70xvX87z5+XnXdR3HaXlbFdQmROIsFtUMh8Oqqu7YMUPUOIudwP5MEiGEENqOUnrPPfeIBmLl09dQa506deree+8lhAwMDLR6LugVH/zgBz3PO3HiRKsnggAAKKXvete7zp49CwCbTzVGLXT99deLH8bGxlo7k8OgszMdhFBbEQGr7/vlFfwa5TjO2tqaKKuUZTmfz2/eR4nbdxzHdd09mvI+URRF13VJkpLJZLl+PBgM7sNd+76/traWz+c3N85Gh5n4oh6NRoPBYD1tmmVZxm7OCCGEEEIIIYR2DQNohFATiby4of0M53x5eVkU6oqgWVRcAkA5AhM32D7NNHYkmhX4vq+qavlwt6ZpyWTySnI9sVBkjYpUz/OmpqZEPxN0mIlDIFsuDIfDsVhs+2Bx+AcTZ4QQQgghhBBCewJbcCCEmogQsrmZrCiOFoXMNTZJJpPiZ855JpOxLEu0+Cj3rzBNs+lT3zuhUKhilue6rud5iqJsvrBYLAYCgTqb6s7MzJRKJdG9l1La3d0dDoc3D7Btu+OqxdFeCQaDm59IiqJ0d3dvb+4sVuPEGmeEEEIIIYQQQk2CFdAIodYo9+sQmXLtwTMzMwBgGIZoZCFWKWSM+b5fzqZr59otp2maWOENADjnImffkgYuLS2tr68Hg8Hh4eF6bnNxcTGTyYiGJ6KTr67r8Xhc9JUWqwvOz8+LBF8M6/Ru2mgLUVwvy3L52aUoiizLpmkGAoGenp7tBzPoJq2YMkIIIYQQQgihwwWTiP+fvfsOj6JqHz5+Zks2vZGEQOglqCidoEFEEFCkC4hSVAQsiAV7ARQfpSj1ByioIEVBiaKgAqKIIErvCkRKKKEESK+72Z15/ziv8+yzuykISwrfz+XldfbMmdl7tpG95+x9AJQXcoKzTEl7HGC1WnNycnJzc/Uek8kks28Wi8VgMBQUFOjTpR3/KG9r7hkMBrPZ7LLuRGBgYHh4eF5e3sWLF4UQRqNRVVU/Pz+z2RwSEqJPTVVV1SVpKOs7Oz8mvr6+gYGB+ixyu92ekpLicDgsFouiKDabzW63FxYWyrx/abL/KFfkhHdZJSMgIMDHx8dkMhWzfqDMUEvMcQYAAAAAXHskoAGUUyVOkdYT1lar1eFwBAYGynUL09PT5YDq1aurqpqXl5eVlaWqqnOWtlzR62aYTKawsDCLxeJwOMxmc2FhYWZmZl5entlsrlq1qt1uP3/+vBDCbDZXq1ZN7pKZmZmZmZmdne18QIvF4ufnFxMT43JHmqZZrdYLFy6I/50KbbPZqBNdPsnpzDJ3rChKUFCQfJ0Xk0o2Go1yPBOcAQCVkqqqe/fu3b17t9VqbdSoUZs2bVxKkMEbcnJyTp48mZSUdPbs2fz8/CpVqjRu3Lhx48YukyqkI0eOfPfdd+79iqL07t27bt263o+38lNVdcaMGR43RUdHDxw40OMuf/311+7du7Oysho0aBAXF1elShUvh3kd0TRt+vTpxQyoX79+r169ZLuYpy8qKmrw4MFXP77KzuFwpKamnj59OjEx8fz584qi9OvXr2bNmsXsUlBQsHXr1oMHDxqNxhYtWrRs2bKoL1Capv399987d+5MTU2tU6dOXFzcFS7mdH0iAQ2gwtDrbFxuXWP5QZefny9rd8hOh8NRDmtJK4ri7+9vMBj8/f1lbl0IERERkZWVZbPZxD9pd6PRKMt0aJp2+vRph8Oh/2MZHBwcFhYmq3zoh01LSwsNDU1OThZC2O32cnji0OkrVcoS6lFRUcJpBU6P411W6QQAoLI6e/bs5MmTk5KS9B6LxfL888/HxcXJEmTwhpycHI8JzWrVqj3zzDM33nijS9bmjz/+mDRpkvt4RVHGjRvXsmVLbwV6PXE4HH369PG4qUGDBtOmTXPpTE9PnzZt2r59+/Qes9n81FNPtWvXzmVNGvw7mqbp+WWPevfu/eijj8p2MU9f3bp1Z86cefXjq9TcH3yDwfCf//znlltuKWqXnTt3Tpo0SX7FlsLDw9966606deq4jMzKyvroo482bdqk9xiNxqFDh959993u6+ugGCxCCKDCkJNAhRAuXzD0ghIe93I4HGfOnHE5iMzPWiyWwsLCclU8WtM0OVPbeVJzdna2jFauFOfj42M2m9PT00NDQxVF8Vgw2jkXeerUqezs7JSUlPJWjQRCCEVRTCaTr6+vrM0SEhLi6+tb1GA5u5kv2ACA61N6evorr7ySmZl54403PvLIIz4+Prt27Vq6dOmUKVPefvvtxo0bl3WAlVzVqlX79u1br149Hx+fjIyMxYsXHz16dPz48e+++27Dhg3dx9911129e/d26ZRX1nEVTZs2zSWD7D4tPScn5+WXX05JSalevfrIjrXaygAAIABJREFUkSMDAwMPHjy4YMGCmTNnKorSoUOHaxhvZTZr1iz3zosXL7733ns2m23AgAHuW6dOneryfHn8VQFKFB4e3qpVqxtvvDEmJmbWrFnOGQB3J0+efO+99woLC3v37t2+fXu73Z6QkLB9+/YxY8bMmTMnJCREH2m1WidNmvTnn38GBQWNHj26SpUqR48enTt37ieffJKfn+/xOUVRSEADqPDcL9qrqmq322VDnyzs4tKlS4WFhXIyta+vr91ulyv1yXS2XLKv/NA0raCgQL8ZGBhYUFDg6+urqmpBQYH+6zlN086dOydPQQghlzr09/fPyckh+1wemEwmIYRMIhuNRh8fH39//+DgYPfJy3IMlTQAANCtWrUqMzOzZcuWb7zxhvwntV69eiaTaeHChVOnTp07dy6JGy8xm82TJ0++8cYbnTubNm06adKkLVu2LF269M0333TfKyQkpHbt2tcqxutXrVq1Snzlb968OSUlpVGjRhMmTJBfnerVqxcYGDht2rRPP/00Pj6eiZxXTlEUjy/448ePFxQUxMXFBQQEuG+tVasWD/6VUxRl4cKF+s1iJvQIIaxW6/jx4wsKCvr37z9o0CD5beuVV16ZPHny9u3b582b9+KLL+pfwQ4dOnTw4MGYmJhp06b5+fkJIerWrRsVFTV+/PiVK1f27NlTdqI0+FoLoBIyGAyyjoHvPywWi3M53YyMjLy8PLvd7ufnFxQU5OPjExwc7OfnJ6swh4SEVKlSJSgoyN/fv3yWNcjJycnOzk5KSjp58mRqauqpU6cuXbrkcDjsdntOTk5OTk5eXl5eXl5ubq4cUH6meF+f5Lz1oKAgPz+/8PDwqKioevXq1a5du1q1amFhYXJFQYvFYrFY9Fesj4+PnO9c1rEDAFAuaJq2bds2o9HYt29fmX0WQiiK0qdPH19f30uXLjnXFsDVZbFYXLLP4p+CzkKIXbt2yZkfKJ80Tfvpp5+EEPfcc4/zxJ327dv7+/tnZGT89ttvZRddJadpmqyH3rRp07KOBf/fsWPH5I+JhwwZon/bMpvNzz77rNFoTExM1H+LrGna119/rarq7bff7pxobtKkSURERE5OzurVq8vgBCosvtkCuC4oiiLTfD4+PhaLJTo6OjY2tmHDhtWqVQsNDZVll6X8/PzCwkJZDcpoNAYGBgYFBZXPxW30itiywsaRI0eSk5NdrvfKrHRZRXid8/Hxka+fOnXqxMTE1KlTp27dujExMZGRkc6JZh8fH7muYPm82gEAQHmQl5eXnJwcGBjosqiUoig9evQQQuzfv7+MQrt+yZmb/A1TzuXn5x89elQI4VIPV1EUudjdli1bmK3iJceOHZMP/h133FHWseD/S05OdjgcrVu3dun39fWtV69eampqRkaG7LFarfJflnbt2jmPVBRlyJAhQoiff/6Z3xmXHiU4AFzXTCaTyWRy+eGM/AtM07STJ0/KGh0GgyE0NFTW5dC3qv9wOBzl4R8eh8ORl5dX1lFcd2SVDFkuQ/5f/FPZuXbt2noPAAC4EqdPnxZCmEymwMBAl03169cXQmRmZpZBWNe3HTt2CCFatGjhcYGKffv2vfzyy0lJSeHh4a1bt27Xrl39+vX12eu4WmbPnr1nz57CwsJGjRq1b9++adOm4eHhzn9/pqSkyO8v4eHhLvvKyunZ2dkOh4On5qrTNG3FihVCiO7duzuXFXY2d+7cPXv25OfnN2zY8I477mjevHlERARfH7zq4sWLQojIyEiXfqPRGBoaqqpqWlqarKaSlpYm3zvR0dEug+V7Jycnx2azFV/xAzo+YgDAlZ5DrFu3rt5pt9tzc3NldQshhKZpLuURnCcOyCPYbDar1XqNgsbVYPhfzt+m9D8EZYEXi8Wi/59VAQEA8Da5opTH+lSysqpcxhnXTGFh4dq1a318fPr37+9xwLFjx2Tj3Llzq1atWrNmTYMGDcaOHet+CQFX4tdff5WNPXv27NmzJzw8/JlnnmnRooU+4MKFC+Kf9UVc9pW/8rRarXa7nQT0VZeXl3f06FGz2dy9e/eixqxfv1429u/fv3///pCQkCeeeKJt27bXKsbrUVpamvC0jpSiKLJTvmX0kXq/M/necTgccmUmb8dcOfARAwClYjKZQkJCPF671jTNarXm5+fL8h0Oh8PhcGiaZjQaLRaLnCIty2Vc+7CvQ/rvQOXcZDkxWX5Z1f8vN8mG2Ww2m80+Pj6ywR/fAACUQzK/7HF9DplWo+bYtZSenj5+/PjU1NRu3brdcMMNLltr1ar19ttv169fX14byMrK+vnnn1evXn3o0KHFixePHDmyLEKubBRFGTZsWOvWrSMjI00mk91uP3HixJdffrl9+/bx48dPnTq1QYMGcmR+fr4o9r2jqirfU7zh2LFj58+fj42NjYiIcNmkKMrDDz8cFxdXtWpVs9lst9vPnDnzxRdf/PHHH5MnT540adJNN91UJjFfD+QUMfecsvhnylFBQYHzSD8/P/f3jv6dUf5IGqXB12wAuFKKosh6vmFhYe5bVVW1Wq1Wq9Vms9ntdlmUWVbt0Ot4yIZMUvMnoE7xRE8fy78DZHLZ6MRsNst63xI/YQMAoBLw8fERTnkBZ7ISGj9IumY0TZs5c+bx48fvueeeESNGuM9Jr1GjRo0aNfSboaGhffv2bdCgwbhx43788ccHH3zQ49/MuCwGg6FXr176TbPZ3KBBg9dee23y5Mlbt279/vvvn3vuOblJZso8vnfklw7+WvaSOXPmCCHi4uLcc50Gg6Fv3776TbPZXKdOnZdeemnGjBkbN25MSEgYO3Ysq5F7STHXLOU7Qn++5HvH42+a9QqcPE2lRwIaALzLYDD4+fm5lJl2oWmanDctc9OFTux2uz57WnOiJ6x11+qE/iXn9LFzBllvyE6ZNZZJZLPZ7JxclnOWy/o8AABAGahevboQwm63q6rq8veAPsGzbCK7zmRlZU2fPn337t2dO3d+5JFHSvm3maIot9xyS1BQUHZ29q5duzp16uTtOK9D8md/vXr12r59e3Jyst4fFRUlhJDfMlyu0+Tk5AghLBYLPwG86o4ePXru3DmTydS1a9dSpviNRuOAAQM2b9584cIFKgt7jyyGLpd6cqZpmsxK6+Wh5aUy+SXd5T0if5Qjf/F8DWKuHPiUAYCyJ9esM5lMpfkHTM8+6zlou91eWFioOpFFP+Q8a8nlCB7bHje5p7+F03QJvVyycKqdLf5JN+ulLXx8fEwmk0wiO6ehmXABAABKo2bNmkIIu92en58vCzvoZK6NysLepmlafn7+lClT9u7de+edd44aNeqy/pAzGo116tQ5cOCAXl8V3hAYGOjj4+NcEl1fPy0rK8tl7nlSUpIQwtfXlx8QXHWbNm0SQnTp0kUWCy4lOW8pPz+/PCxxX1nJ/HJGRoZLv6qq8pJMlSpVZI/eSE1NrVq1qvPg48ePCyHMZjMJ6NIjAQ0AFYyc3eC94xczmdp9k/MXD7LJAADAS0JDQyMiIrKyss6ePduwYUO9X9O0devWCSHcKxHj6rLb7RMmTNi/f3/37t2HDBlyuX/42e32xMRE8c+1BHhJZmam1Wp1XrcmKCgoJibmzJkziYmJt956q96vaVpCQoIQonnz5vzK8KrbuXOn0WiMj4+/rL1ycnJyc3MjIiK4JOA91atXNxgM+/btc+m3Wq0nT54MDQ0NDQ2VPf7+/vXr1z927Nj27dt79Oihj9Q0bfny5UKI+Ph4nqnS41MGAPA/PFZe1utmuHDeWtaBAwCASktRlNatW9tstl9//VWfG6hp2tatW8+dO+fn5xcXF1e2EVZuaWlpr7/++v79+++8886HH364+OJyHm3atMlms/n4+DRt2tQbEUIIkZmZuWzZMk3TatWqpXcqiiJrnmzatMl5wbS//vrr1KlTFoulc+fOZRBrpXb48OHk5OTg4GB9KcjSyM7Onj9/vqZp1atX97hEHq6Khg0bBgQEJCcnb968WZ9f5XA4vv3229zc3Lp16+rXbxRF6devn6Iov//+u3PJjpMnTx45csTHx6dfv35lcAIVFgloAAAAAEB51717dyHE999/P3PmzPz8fLvdvn379pkzZwohRo0aRQ1o71FVdeLEiYmJid26dXvmmWeK/8l5Xl7ewoULT5w4IVfu0jQtLS1t2rRpckG2fv36BQcHX6O4K7Vff/31999/z8jIkNdjCgsL9+7d+9JLL/31119CiPvvv995cPv27c1m8++//z5+/PjMzExVVQ8cODBp0iQhxIABAy6rRgRKpGna9OnThRBdu3Yt6lLNtm3bNm3alJaWJi8J2O32gwcPvvLKK3v37hVCDB06lDnp3uPv7z969GghxIwZM3766Se73W6z2RYtWiQnNQ8fPtx5UnPTpk2rVat28ODBF1988dKlS5qm/f3332+99ZbVau3YsaM+VxqloZT/dasAAAAAANi9e/fs2bMvXbqk9xiNxr59+w4YMIAJg95z8uTJp59+WrY9/uht4cKFenHhnJycgQMHuo8JDAzs3LnzAw888C9mT8PdJ598smrVKvf+G264YcSIEc5laqTExMT/+7//O336tN5jMBjuueeehx56iIs3V9fJkydfeOEFg8GwcOHCoh7bhISEJUuWuPfXr19/2LBhN998s5djrIR++OGHjz76SLb1PKf8vLrpppsmTJjg8tm1YsWKJUuWOP8mwN/f/5lnnnGvmpKUlDRnzpy///5b71EUpV27diNGjHCudYMSkYAGAAAAAFQMdrv9p59+Wrt2bV5e3m233dazZ8+IiIiyDqqSS05Ofu2114oZMGvWLOeZgBcuXNi1a9fu3btPnjxZWFhYt27dtm3bxsfHk3q+iqxWa2Ji4rZt2w4fPnzp0qXg4OAmTZp07ty5Tp06Re3icDg2bdq0Zs2a1NTUVq1a9ejRo0aNGtcw5OvFhg0bFixYcNttt40cObKoMTab7ciRI9u3bz948ODFixcDAgJuvvnmzp07X1bJDjhbt26dx5y+ECI2NnbMmDHuF89ycnK++eab3377zWw233333d26dSuqoLOqqtu2bVu9enVycnKTJk169OhRv359SlBeLhLQAAAAAAAAAACvoKwMAAAAAAAAAMArSEADAAAAAAAAALyCBDQAAAAAAAAAwCtIQAMAAAAAAAAAvIIENAAAAAAAAADAK0hAAwAAAAAAAAC8ggQ0AAAAAAAAAMArSEADAAAAAAAAALyCBDQAAAAAAAAAwCtMZR0AAAAAAABAxeNwOP76668dO3YcP348Ly8vMjLypptuat68ec2aNQ2GEib8Wa3W3bt379ix4/Tp00KIOnXqxMXFNWvWzGw2X5PYAeDaIQENAAAAAADwXy+++OLMmTOjoqLOnDnjvlXTtKysrB9++OGJJ57Izs52H9C8efOpU6fGxcUFBAS4b83IyFi5cuXo0aPT09NdNoWEhMyZM+e+++7z8/O7KicCAOUBCWgAAAAAAID/cjgcdrvdbrd73Hrq1Kn77rtv9+7dQohbbrll5MiR9erVs1gsVqt1z54977///p49ezp37tykSRM5xllaWlqnTp327NkjhIiPjx85cmT16tXlMefNm7dly5aHHnpoxowZX331Ve3atb18lgBwjSiappV1DAAAAAAAAOXF6NGjZ8yYERUVlZKS4rJp37597du3z8zMjI6OnjZt2v333280Gp0HOByOWbNmTZ069fz584WFhc6bjh071rp16/T09JCQkLlz5w4YMEBRFH2r3W7/8MMPx48fn5qaeuutt37//fdVqlTx3jkCwDXDIoQAAAAAAACl8vjjj2dmZgohNm7c+MADD7hkn4UQRqPx2Wef3bx5c40aNVw2PfXUU7Lsxu+//+6SfRZCmEymUaNGzZkzRwixdevWvn37FjUFGwAqFkpwAAAAAAAAlGzOnDnbtm1TFOWjjz6KjY0tapiiKLVr196wYYNz59KlS3/88UchxHPPPde4ceOiduzXr1/Pnj1XrVq1ffv2PXv2tG7d+rIiTE9P3759+59//pmZmWmxWCIjI+vXr3/TTTdVrVrV47qImqZduHBh165dBw4cyMvLCw4OrlmzZuPGjWNjYz0uh5ibm7tjx47du3dnZ2dXq1atVatWTZs2dc/Cu1NVdffu3du2bbtw4UJUVNSIESN8fHyct+7fv3/Xrl3Jycm+vr7Nmze/9dZbg4ODL+vcAZRblOAAAAAAAAD4L48lOLKzs6OiogoKCqKjo/fv3x8ZGVn6A9pstvj4+F27dgkhDh48eOONNxYzODMzMzIysrCw8MEHH/z8889dJkoXxWq1Llq06Nlnny0oKHDfOm/evMcee8y5R9O01NTUMWPGfPTRR+6podDQUJc1Em02248//jhkyBA5AVxXu3btVatW3Xzzze4J7sjIyIyMjBUrVtxwww2dOnU6deqU7G/atOnmzZsDAwOFEKqq7tu3r2/fvklJSc77BgUFffHFF506dXLOUwOooJgBDQAAAAAAUII9e/bIms433HDD5VZnTklJOXnypBAiJiammKnTUmBgYOvWrf/444+EhIR58+YFBQWVeHxVVd94442pU6cKIYYMGdKtWzd/f3+Hw3HhwoUffvjhu+++c98lKSmpU6dOMu07YsSITp06+fn55eXlHThw4JNPPrFarS7j33jjjSlTpoh/1k4MCgo6d+7cu+++e/Lkydtuu23mzJnDhw932UUu5PjHH3+MHDkyIyNj0qRJN954Y2Fh4enTp2W2WtO0GTNmjB07Ni8vr0mTJk8//XRUVJTNZvvuu+8WL17crVu3F1988f333y/x9AGUcySgAQAAAAAASnD48GGHwyGEePTRRz2WsyhGSkrKpUuXhBDPPPNMiQUrDAZD3bp1//jjD7vdfuDAgfj4+BKPn52d/emnn5pMpgULFgwZMsR502OPPXbmzJmLFy86d549e7ZVq1bp6em1a9f+4YcfnEuCDBgw4PXXX//000+dx//www9TpkwxGAzPPPPMtGnT9EnZ999//7333rt169bXXnutd+/eERER7rFNmjSpefPm+/fvDwsLc9m0Z8+esWPH2my2Z5999v3339eLfvTr1+/uu+9+6KGHpkyZ0rFjx65du5b4CAAoz1iEEAAAAAAAoAR6Drdp06aXu29ycrJstGrVqjTj9VztX3/9VZrxR48eTUtLq1Gjxt133+2+NSYmplmzZs49H3zwgaywsWLFiptuusllvL+//1NPPaXfzMzMHDp0qBCiatWq7777rnNJkLCwsIULF4aHh1+6dKl3795Fhbdo0aLQ0FCXTqvV2qFDh7y8vGbNmk2aNMml5PSAAQN69uwphHjqqadyc3OLPXsA5R0JaAAAAAAAgBJkZGTIRtWqVS93Xz15HRMTU+JguYahbDsXoS5GXl6eECI/P9+9dIZHK1asEEIMGDCgRYsWJdaY3r17t8xWT58+3d/f32VrgwYNZEZ+69at586dc9+9Q4cOt9xyi/u9bNiwISsrSwgxYcIEX19fl61Go3H27NlCiJSUlMTExNKcFIByiwQ0AAAAAABACex2u2xcbv0NIYQsHi2EKLH+hqRPBy5lQrlBgwaKoqSkpIwePTo9Pd3hcLivK6jLyso6dOiQEEJOMS7R0aNH5bnfd9997luNRuPjjz8uhFBVVR7Whce9hBC7d+8WQiiK0rFjR48DqlevHhkZmZeXd+bMmdLECaDcogY0AAAAAABACYKDg2UjMzMzMjLysvYNDw+XjbS0tNKMP3/+vGyU8o4iIiLuuOOOjRs3fv311xs2bIiLi2vcuHGvXr1at27tPrlYpolNJlMpD3769GkhRExMjEuVDJ2s76Fpmlxo0UV0dLTHveQ5+vr6Pvroo0IIVVVlv0ydy/8XFBQIIeT8awAVFwloAAAAAACAEujp2sTExAYNGlzWvjVq1JCNP//8My4urvjBmqadPXtWtmNjY0tzfLPZ/MUXXzzwwAPbtm1LS0tbu3bt2rVrp06dajabR48ePXz4cDlFWg6WZT2MRqOeUi+eLJRRpUqVogboFas9ztf28fHxuJcsaZKfn7948eLiAyjlNHAA5RYJaAAAAAAAgBLUrl1bURRN05YvX96tW7fL2rdq1aoBAQG5ubmffPKJnPBbDE3T/sWCh9HR0evWrTtx4sT69es//PDDAwcOCCEKCwvfe++9jz/+ePHixd27d5cjAwIChBCqqpYysWuxWMQ/ZaY90o9TYjlpZyaTSQjRrFmzzz//vPiR1apVK/1hAZRDJKABAAAAAABK0KJFCx8fH6vV+uuvv+bm5so0bilFR0fXrl374MGDW7ZsuXDhQlRUVDGDrVbrrl27hBBNmjQpqn6FRz4+PrGxsbGxsU8++WRaWtr69etXrFiRkJCQnp7+zjvv6AnoG2+8UQhRWFh44cKF0hxWLpx4+vRpVVU91r8+cuSIbFSvXr300cq0clJS0g033PAvymoDqEB4hwMAAAAAAJQgJiama9euQoizZ8/u3LmzxPHOywAGBQV16tRJtpcuXVr8XvPmzZOp4YkTJ17WnGJn4eHh/fv3X7Zs2ZgxY4QQ27Zty8nJkZuqV68eGhoqhPjzzz9Lc6jq1asrimK1Wg8fPuwx4M8++0wIYTAYGjZsWPoIZVmSzMzMxMTE0u8FoCIiAQ0AAAAAAFCyTz/9tEaNGna7/bnnnsvMzCxmZHZ29rBhw5x73n777fr16wshZs2aJcsfe7R///6XXnpJCBEbGxsfH3/lMd9www2yYbPZ9M5+/foJIebMmZOamlriEeLi4vz9/YUQo0ePdjgcLltTU1N/+uknIUS1atXkCZaSPiP79ddfLywsLP2OACocEtAAAAAAAAAlCw0NHTNmjNFo3Lt3b8+ePc+cOeM8zVnSNO348eMDBgxYsmSJc39ISMisWbPMZvPx48fj4uJOnTrlvuOJEyeGDRtmt9tDQkKWLl0q5ymXRnp6uscazZqmHTt2TAgRERERHh6u9w8dOtRkMl26dOmhhx7Kzs522cvhcCQnJ+s3a9WqNXjwYCHEpk2b1q1b53zKdrt90aJFycnJZrP5+++/N5vNpQxYCFGzZs13333XYDCsXr165cqVHnPQdrv9woUL7llvABULCWgAAAAAAIBSGT58+NKlS/38/DZt2tSmTZtRo0YlJibKycU2m23nzp39+vVr06bNmjVr3Pft0qXLd999Z7FYjhw50rZt29dff/3MmTOqqqqqeurUqddffz0uLm7Xrl0Gg2HZsmUtW7YsfVRffPFFXFzcCy+8sG/fvtzcXCGEqqpnz54dNWrUhAkThBDPP/+88/jbbrttyZIlBoNh7dq1bdq0WbFiRX5+vhAiLy/vjz/+uP/++zt27Og8fsaMGfHx8QUFBYMGDRo/fnxWVpamaWfPnh08ePArr7wihBg0aFCzZs0u98F86aWXevfubbPZBg0a1Ldv371798r1DAsLC5OTk5cuXdq5c+euXbsWs/4hgApBcb9YBwAAAAAAcN0aPXr0jBkzoqKiUlJS3LdqmrZ58+YJEyasX7/e47zdyMjIu++++9VXX23cuLH71k2bNr3zzjubNm2SyVZnZrP57rvvnjZt2mUVUxZCzJw587nnnvO4qUqVKg888MDUqVMtFotzv6qqCxYsmDJliscSzKGhoenp6c49SUlJo0aN+vnnn51LeQghAgMDhwwZMn36dJfjCyHCwsIyMjJWrlzZs2fPoiK32Wxjx4799NNPL1686HFA9erVDx06FBwcXNQRAJR/JKABAAAAAAD+q/gEtKSqal5e3qpVq7744ostW7akpaU1bNiwS5cuffv2bd26tZ+fXzHrBzocjtTU1OXLly9btmzv3r2aprVp02bgwIH9+/cPCgoyGo2XG7DNZtu7d+/GjRs3bty4f//+c+fO+fv733777Q8//PC9994bEBDgMRhN0woLC7dt27Zo0aKvv/46Ly+vatWqrVu37tWrV7du3apUqeJ+ysnJyZ988slnn3125syZpk2bDhs2bODAgYGBgR6PX5oEtAzDZrNt3Lhx6dKla9asSU1NDQsLa9iwYZs2bTp06HDbbbdFRET868UYAZQHJKABAAAAAAAAAF5BDWgAAAAAAAAAgFeQgAYAAAAAAAAAeAUJaAAAAAAAAACAV5CABgAAAAAAAAB4BQloAAAAAAAAAIBXkIAGAAAAAAAAAHgFCWgAAAAAAAAAgFeQgAYAAAAAAAAAeAUJaAAAAAAAAACAV5CABgAAAAAAAAB4BQloAAAAAAAAAIBXkIAGAAAAAAAAAHgFCWgAAAAAAAAAgFeQgAYAAAAAAAAAeAUJaAAAAAAAAACAV5CABgAAAAAAAAB4BQloAAAAAAAAAIBXkIAGAAAAAAAAAHgFCWgAAAAAAAAAgFeQgAYAAAAAAAAAeAUJaAAAAAAAAACAV5CABgAAAAAAAAB4BQloAAAAAAAAAIBXkIAGAAAAAAAAAHgFCWgAAAAAAAAAgFeQgAYAAAAAAAAAeAUJaAAAAAAAAACAV5CABgAAAAAAAAB4BQloAAAAAAAAAIBXmMo6AAAAAACAB5qm5efnX7p0KTs7WwgRFBQUGRnp5+dXzPiLFy9eunRJCBEWFhYZGWky8Y0PAACUMf4cAQAAAIDyaN26dV9++WVubm5BQYGiKBaLJTAwcPDgwR06dHAfnJ2dPXny5KSkpNzcXCGEv79/1apVx4wZU6VKlWseOAAAwH8pmqaVdQwAAAAAgP9SVfWrr7767LPPhBBt2rSJjIwUQpw7d2737t2apj322GPdunVTFEUfn5OT88477xw8eLBmzZq33HKLECIpKenQoUM1atR47733AgMDy+pEAAAASEADAAAAQPly6dKl559/PiMjY9y4ca1atdL7f/zxxzlz5oSHh8+YMSM0NFR2apo2a9YdiHXkAAAgAElEQVSsn3/+OTIycu7cuWazWQhht9vfeOONQ4cONWrU6L333nPOVhdP0zS+JAIAUK4oilL6f8rLIUpwAAAAAED5kp6enpOTU7NmTefssxCiS5cuy5cvz87OzsjI0BPQBQUFhw8fNpvNY8eOldlnIYTJZHr11VeHDRuWmJh49uzZmJiYUt71vHnzjh07dhXPxRucU+QV+gu5fiIV+ixEJXpGxD/nUtHPQlTGVxcnUn5UjrdJxfrgeuqpp+rUqVPWUfx7JKABAAAAoHwxm81Go9HjEoLum3JycpKTk2vXrl21alXnkWFhYa1atdq6devhw4dLn4Deu3dvYmJi6ceXCYfDIRMHlWCVRbvdbjAYDAZDWQdyRVRVVVVVCGE0Gst/Hqd4qqpqmmY0Gss6kCtlt9uFEJXg1SWEsNvtleDNXpk+uBwOh6IoFf2lVVE+uFRV/fvvv4cMGVLWgVyRCv+iBwAAAIBKJjo6Oiws7NSpU0eOHGnYsKHev2PHjnPnztWoUcM515ycnCyECAoKslgsLsepV6/e1q1b09LSLuve4+LiJkyYcAXhe116erpMf4SFhVXoDIimaampqYGBgb6+vmUdyxXJz8/Pzc1VFCU4OFifhl9B5eTkOByOkJCQsg7kSqWmpmqaZrFYgoKCyjqWK6KqalpaWlhYWEW/KpCZmVlYWCiEqFKlSnlOd5ZI07SMjAyLxeLv71/WsVyRvLy8vLw8UcQ/oOVHQUFB+/btyzqKK0UCGgAAAADKF19f3zFjxsycOfOFF17o3bu3nI988uTJH374oVGjRi+//LJzju/s2bNCCLPZ7J7RCAgIEEJkZmZ6vJd169bJyV/O8vPzg4KCZJak3FIURaai7HZ7hc7jCCGMRqOqquX8AS+RqqryGXE4HGUdy5XSNE1RlIr+jAgh9GszFf1c5IR0h8Ph/nlV4egfXGUdyBWR7xFN0yrHS0sIUc4/hOULpqIvz0ACGgAAAADKnVq1ar377rtTpkz59ttv9c6OHTuOHDnSx8fHeWRGRoYQwtfX1z0VK3/onZ+f7/Eu3nzzTfev3NWrVw8PD8/JybnyU7gGcnNzyzqEq8BqtVqt1rKO4uoo6sVW4VSUt0CJ7HZ75TiXyvFmlyrHM2Kz2Ww2W1lHcXUUFBSUdQjFkeGRgAYAAAAAXE2apq1ZsyYhISE9Pb179+7R0dGapp07d27NmjUHDhwYNGhQhw4d9HSznOfoceZp8etEVfRvswAAoEIgAQ0AAAAA5cvJkycXLlxoNBoXLlwYGhqq9/fp02fUqFEff/xxo0aN9HUCIyMjhRBWq1X+LNr5OHKCc1EVYEeOHOmetv75559NJlM5r+yZn58vs+d+fn4VvQRHXl6ej49PRV+UrLCwUL7YLBZLRS/Ua7PZVFWt6FW5hRCyuK3RaCzPxW1LQ9O0/Pz8SvBmLygokFVEyvkHbIk0TSsoKDCZTBW94LvNZpPVLcr5h3BF/1CVyu/jCwAAAADXp7/++qugoKBjx47O2WchRNWqVePj4zds2PD333/rCegaNWoIIWw2m8PhcPkKnZ6eLoQIDg72eC8PPfSQe+e2bduMRmN5zo/I3IdMQPv6+lbob+aqqubl5ZnNZj8/v7KO5Yrk5eXpCWiXEjEVjrwqU57fAqWkJ6Ar+rk4HI78/PyK/mbXNE1e2xBC+Pr6VujVU1VVtVqt5f9SZYk0TdMT0OX5mpO89FKhXzNCiIodPQAAAABUPqmpqUIIj/MWZabSeV3B6Ohoi8WSmprqUn5X07T9+/cLIapVq+bdcAEAAIpGAhoAAAAAyheZMpZpaBdnz54VQkREROg9AQEBdevWvXDhwvHjx51HHjt27OjRo0KIxo0bezdcAACAopGABgAAAIDyJTY21s/Pb+fOnYsWLbp06ZKmaZqmpaSkfPTRR3v37g0ICKhXr54+2GQyderUSQgxceLELVu2OBwOh8Px119/TZgwQQjx8MMPF1UDGgAA4BqgBjQAAAAAlC+1atXq0aPHt99++/XXX3/99dfOmywWy+DBg6tXr673KIrSpUuXM2fOrFy5cuLEic79bdu2ve+++65d3AAAAG5IQAMAAABA+aIoyqBBg+Li4nbu3Llz586TJ08qilKnTp3WrVu3bt3aefqzbvDgwU2aNNmwYcOOHTtUVW3WrNkdd9zRunVruXgRAABAWSEBDQAAAADljqIosbGxsbGxAwcOLM14s9ncsmXLli1bejswAACAy0INaAAAAAAAAACAV5CABgAAAAAAAAB4BQloAAAAAAAAAIBXkIAGAAAAAAAAAHgFCWgAAAAAAAAAgFeQgAYAAAAAAAAAeAUJaAAAAAAAAACAV5jKOgAAAAAAAAAAuArOp+SkpuWVOKygIL+gwBoS7NMgMPAaRHWdq5wJ6J49e8rGsmXLAgICyjYY4RTPqlWryjaScmjOnDk//vijECIsLGzRokWXtW/v3r1VVRVCDBgwYNCgQVceTHZ2tn6cSvBkff75519++aXw2rmkpqYOHTpUtsv5w9WrVy9N04QQL7/88u233y7+efEMHjz4/vvvL+voAAAAAADA1bEs4cDS5ftLObhLxzpjX432ajwQlOC4ur766quJEydOnDjx888/L+tYcL2z2+0y+zx79uyyjqU8evXVV4UQn332WVkHAgAAAAAAUJlVzhnQZeXgwYM7d+4UQmRnZzv3+/r6llFEFYDZbJaPD4/S1TVq1CjZqFWrVtlGUj7deuutsjF06NBPP/20bIMBAAAAAACorEhAXwvLly8v6xDKr8cee+yxxx4r6ygqm/z8/LNnzwohRo8eXdaxlF/9+/dPSEhITU11OBxGo7GswwEAAAAAAKiESEALh8Px3Xff/fbbb8ePHw8MDGzZsmXnzp0bN27sPnLHjh3r1q3bt2+fyWRq2bJlp06dmjZtWpq7WL16tWzce++9srF3716ZH/Tz8+vQocP+/fuXLl16+PDh2NjYvn37tmnTxv0g2dnZ8+fP37hxY/v27Z955hmDweB+2KIUFhZ+++23GzduTE5Orl69ert27Xr16uXv768PyM/P37Bhg360tLS0Dz74YNeuXc2bNx8yZEjdunXdj2mz2RISEn755ZfMzMzWrVv37t27UaNGHu99+/bt69at27NnT3BwcPv27fv37+9cmPvPP/88deqUEMJisdx11116v6ZpP/3006ZNmw4fPmwymW655ZY77rijXbt2xZ+pR3/88UdGRoYQIioqqlWrVuvWrUtISMjNze3WrduDDz5oMJSqEM3WrVt/+eWXffv2ORyOG264oW3btvfcc4+iKC7DNE379ddff/7550OHDkVERNx11139+vVzT27Ks/vxxx+PHTvWoEGDe+65p1OnTu53qmna6tWrf/3116NHj4aHh8fHx/fo0SMqKqrEaF955RXZuPPOO102ZWdnf/PNNxs3bkxLS6tXr97tt9/es2dP5wh//fXXvLw8IUSdOnVuuukmvf/nn3+22WxCiNq1a3t8g5w4cWLBggUHDhxo1qzZ4MGD69ev7zG21atXJyQk+Pr6Pvnkk02aNNFfxp07dzabzc4jk5KSvvvuu61btzocjpYtW959990e33Gqqq5evfq33347cuSIn59fs2bNOnbs2LJlyxIeIyGGDBmSkJAghBg3bty7775b4ngAAAAAAABcLkUuzFXJlH4Rwl27do0fP96939fX13nasqZp9913n8PhcBlmMpkSEhJk8k6/U93jjz/erVs34WkRwqlTp27cuFEIERkZGR0dfeDAAecda9asOWfOHOeeb7/9dsGCBc4933zzTZ8+fVwO65H7vlLbtm31NOXFixeHDRsm22PGjHnnnXecR9apU+f//u//nHuWLFkiM3fOgoODlyxZ4pyTtdlsAwcOlFlLZx07dnzuuedk2+MihDk5OQMHDnSP2Wg0Ll++XE9TlnIRwpdeeikxMVEI0apVq6SkpNTUVOetb731VosWLWTb4yKEhYWFAwYMsNvt7kdesmRJSEiIfrOosIcNG9arVy/95qVLlx599FH3YbNnz3Yul3Ho0CH9CXIWExPz4Ycfej7Vf8iXnPtI/YXnYuDAgQ888IBsjxgxIiUlRQjRo0ePESNG6GMGDx6clZUlhOjevbuctO68CGGfPn2++eab4uMsLCzs27evy/0uXbpUtpcuXRr4z8qzmqYNHDgwNzfXJU6DwZCQkOCcpz516pRebMSZj4/P8uXL9asL7osQSv3797daraLcL6IIAABwzTzxxBOhoaGTJk0q60CKpGlaenq6/CIQFhZWoX/KpqpqWlpaQECAn59fWcdyRfLy8uQsluDgYB8fn7IO54pkZ2c7HI7Q0NCyDuRKXbp0SQjh4+MTHBxc1rFcEYfDkZ6eXtHf7JqmZWZmysRCeHh4KWfClU+qqmZkZFgsluITbmVo+uwtl7kIYfvyXBU2Pz+/Xbt2CxYsaNKkSVnH8u9V4Ff8lbPZbB6zz0KIgoKCZ599Vr/5wAMPuGefhRB2u/3++++/khguXrzokn0WQpw+fXrPnj36zcTERPcM8sMPP1ya4zscDo/ZZyHE77//rs96duaSfRZCnDhx4j//+Y9+c9euXe7ZZyFEVlZW//79nXvuv/9+9+yzEOKXX3757bffigm7qGyyw+HQE+X/wr59+1yyz0KIt956S6YgiwnGY/ZZCDFkyBDnmx6zz0KI+fPnHzt2TLY1TfOYfRZCjBo1KicnRx/mMfsshDhz5swLL7xQTMD6QXr37u3cv2XLFo/ZZyHE0qVL09LSijlmiVyyz0KIM2fOjBkzxrnHJfss79fj0fr37++efRZCqKrar18/5x6P2WchhM1me/LJJ4uPWQjx4osvysbJkydLHAwAAAAAAIDLdV2X4Fi3bp3eXrlypZy6+8MPP8ybN08IkZSUJDepqpqfny/b3377rbxOpaqqzO4VFhZeuHAhKipq1apVb7/9tlyE8Oabb54wYUIpw2jRosW4ceMMBoPz/NBVq1Y1b95ctl966SXZMBgMMs33yy+/zJw5szQH12ew3nLLLe+88448x61bt8rwpk+f3qFDB/e95MxxTdNGjx59/PhxIcSOHTv0rXrW/p133pGXXzRNkzN8bTbbhg0b5DG///57OStBCPHNN98YjUZN0+bOnbtmzRohxPvvv19UPY2kpCR9Yr7+gFutVpndlsU0/p3CwsLAwMDPPvvM5dEePXr0Bx984HGXgoKCgoIC2U5ISLBYLEIIu91+3333uYzUk60Gg2HFihUGg0HTtIceeigzM1MI8fLLL3/99ddCCH3eesuWLceNG6coiqZpTzzxxLlz54QQgwYNWrlypRDCOVOsvzgvXLgwfPhwIcSRI0eKOU19dnnHjh2d+/VpLEOHDpVhaJo2fvz43bt3CyFeffXVjz76qJjDlkjOB9c07emnn5ZlVfbv/+8lxxUrVujtxYsXh4aGenwYhRBffPGFft3i448/rlq1qhCioKBAXuzRNG3ixImvvfaaEGLfvn36Xvqj9Oeff77++utCCPmQFi8uLk42Vq9eXZqENQAAAAAAAC7LdT0Det26ddWqVatWrdp//vMfvXBEbGysy7CLFy/qbfmrIiGEwWDo1atXz549e/bsKesS/Dtms/mtt96SOVaz2XzjjTfK/kOHDsmGTF9KK1asUBRFUZS77rqrYcOGpTl+YWGhbDjP4I6Li+v5D/ddnn32WfkzCkVRZsyYoT8yn332mRBCFmcQQphMJn3yv6IoY8eOle3p06fLhp7NfPHFF+UvZRRFKU2Ob/369fJ5ue222/SfpVytn3EtXbpUf7SXLVsmO5OTk4uqRZOVlVXtHzL7LITw+MMfPdk6e/ZseReKoixZskR26k+EnpSX2Wc5TK9wommajMQ5earvEhUVVcwTp9Nz9C4llfVz1INRFOWVV16RB4yPjy/mmCUaOnSorEaiKMrs2bP1l838+fNlY/HixbLRr18/+XM2k8nkcXq+Pi06Pj5eZp+FEL6+vq+++qpsb9myRTYWLlwon5rhw4fr9xgdHV36sPW9nC+xAAAAAAAA4Gq5rmdAO9c1zsnJSUxM3LNnj3spWOc132SNha5du/bo0ePRRx91X4PucrkUlrrjjjtk6lnPFW7atEk2jEajc5GgUaNGORcJKUqNGjVkCvvgwYO9evUymUxPP/10fHy8nEjrkcuc6IYNG/79999CiN27dw8ePHju3LmyPzo6etu2bfow54IJLslcvcKyVGKx3eHDh+vhFRQUHD169ODBgzL9fYVc6hM53zx//ny1atXcd4mKipIz4oUQhYWFJ06cOHLkiN6jc87v16hRw3mT8/k6PzLbt2/3GKSqqkajsV69enpPnz59FEV59NFH77zzzmKeOF1RBUNCQ0Nlbvqzzz777LPPwsPDn3jiidatW5fmmCVyLnIthGjUqNHhw4eFEHoxGT2N7lyoJCIiwuU4zg+RnnGWnFPkeXl5/v7++tUOIURubu6RI0cOHDjgsT5MiWR9NAAAAAAAAFxd13UCWgiRkpLy8ssvp6enFzNGUZS2bdv+/vvves+aNWtkHYlatWq98847Xl2dQC7QJ4Ro06aNc3/dunVLs/vEiROdZ8va7fbp06fLtF2vXr081lN2qYXfv3//d999Vwgha3Ho072Tk5NlvztVVZ3TiP7+/qUJ1ZnD4XjppZeOHj16uTsWLyYmpqhN586d85iAFkJomjZp0iR91q1HpSygfOHCBb1d1KOXkpJSvXr1Nm3ahISE6PPfNU2bP3++nE18xx136JWLPdJTvS6mT5+urxkoY9YLxTz88MPuBZovi8vLZvDgwbImiazF4cxk+p+PHT8/P73EjRDCuV2Mixcv1q5dWwiRk5PzwgsvlKbaBgAAAAAAqPQsPoboyJIXSFQ1TdM0X98KvLhlBXJdl+A4f/78iBEj9OxzUFDQ8OHD33vvPfeRr7zyyqJFi1wq6gohTp069dBDD7mva3cV6fk4l3IKpbdy5co333zTfXHSlStXDh48uMTd9cRiUUUqSnS588Q1TevTp4+efTabzQ8++ODs2bP/3b07KyozK4o+OxmMc/a5e/fu7muCF3Pkyx2mlz9esmTJlClTqlev7jJg06ZNeiHpy1KlSpWVK1e+8MIL7s/IokWLXKYbX65//fL4dy9s+Uiqqjpw4EA9++zr6/vII484T4sGAAAAAADXlfxc+5nTmSX+dy456/yZ7PwcW1nHe124rmdAP/7447LRsWPHZ599Vmblzp8/73FwWFjYc88999xzz+Xm5n777bdffvmlvmnatGlFzWa9crfffrtceHDz5s0vvPCC3q/XYi6RoigtW7ZctmyZpmkpKSnPPvusntTOysrKzs4OCgpyHu9wOJxrHH/++eeyUadOHSGEr6+vvFn8QovO6cj8/PzLmgT95ptvykZERMT8+fOvvM6Jrph5skUVDt67d6/LUooeh4WHh5cmAL2isShFKRIhRGxs7Ny5czVNS0tLe++99/TK4A6HY+PGje3bt/e4l8lkKqoKh6Io7du3b9++vaqqx48ff/nll/WRBw8eLD4Y5zIj7jRNc36mFi5cKBtynrIzVVWdp0u7lFD38/MrPgwpMjJSCNGvXz95s2nTpm+//bYMIDs7uzRHAAAAAAAAwDVwXc+A1pOkgwcP1nNnv/76q8uwLVu2bNiwYcOGDXI1woCAgEGDBq1ateq2226TA0rM3F2JHj16yIbD4XCeP/vhhx+WZvcN/xBCKIoSHR395ZdfOqc+9WUVdWvXrnW+KStvCCGaNWsmhNDrBZ88edJ5mMPhSP6H+N9Zz5s3b9bbmqaVuIyePvf5kUce0Y9TUFBQitMtQW5urnNm3HmBx6Kqc+iJ1LvuukvPPrund52n8TpXDnE5X+fEq8uUYf3Rk/36E+dwOBRFqVKlyuTJk1etWqXPZC9m0TyXGhdSXl6e84vBYDA0aNBgxYoV7nlw/TFPSkpy7ncu8+3uiy++cL6pPwgtW7Z0GamvMSj+9ylwuXchxBtvvOG8Sda9kQIDA4XTEzFkyBB9R1my/HLJlzcAAAAAAACurkqegH7wwQd7eiJzcLrly5fLrF9qaqpzdkzavHmzrJs8cuRI56Th3r17ZUNfG01PgV3FBc2qVKmitwcOHKhpmqZpa9eu3b17d2l2n/6P9evX653OU0SDg4Nddpk3b57MHjocjqeeekrvl+WD9drT2dnZel1sTdMeeOCBkSNHjhw5cs6cObJzyJAhsjF79my9SolevKKoqcTCKZm7aNEi+YAXFBQMGDCgNOdbokGDBlmtViHE+fPn9Qjl5G6PQkJCZGP9+vXyAoDD4Xj00UfdR950002y8fzzz+fk5Mj2Aw88IBv63Gf97MaOHau/nFasWDHyH/JVpD9xzrVHCgsL9QsG9957b1ExP/TQQ7IhLwZIiqLoxzx79qze73IhQTgtjPnnn3/KHwQUFha+/PLLRd2d9MUXX8jMr8vL5pFHHpGN+vXry8by5ctlADk5OfpT4Ozhhx+WjQMHDhw4cEC2T5w4oV90adu2rcsucoK/POb48eOLD9WZfmGjefPmpd8LAAAAAAAApXRdl+CIjIyUk5rXrl3rMu3X2RNPPPHbb78JIaxWa69evTwOkI3GjRvLeannz5/v16/f0KFDu3XrdoVBKooyYsSIjz/+WAiRl5fnMYBixMbGyrTgzJkzZ86c6bI1KCjIY8WD559/3qXnnnvu0dsjR4784IMPhBCTJ09231evRtKvX78lS5bItvPad1IxM7hvvfVWOdf14sWLHs/XpdpD6VkslpycnP79+7v0T506tahdHn/88SeffFK2e/fuXUwwEydO1KMdOHBgUXfx1VdfyWH79+93P7u5c+fKxtNPPz1r1iwhxPr1650vHkhGo1HPd7vr3r37Rx99JIT4/vvv9Renn59fcHCwrHehdzq7+eabZeOJJ5547rnnZPuxxx7TBxgMhuJrWLsvjajP3xdCTJ8+XZ/27jEAXd++fRMSEmSq3WUStAzjlVdeke2aNWuePn1aCLFr165/91IZN26cbHTv3r2YYQAAAAAAAPh3KvkM6OK550BNJpNe8lgIsX37diFEUFCQXpXY3dixY/Uays7pNn0puSvXo0ePuLg4l06Zki7RlClTipre6+/vv3jxYvd+93rWcXFxI0eO1G/ec889Dz74oPuOAQEBX331lV5lQlGU5cuXe1xi7vnnny+q5rIQ4sknn/Tx8XHpXLBggd7+9NNPi9q3eLfccousHexs1qxZxayDFxMT4/4Avvbaa/pp6ulpRVE8Pp5CiPfee0+faa4oyrx58zwOmzZtmr7kYOfOnbt06VJUVC71LoqyevVq55uLFi3SJ3S7iIiI0Ct616tXr2bNmi4D2rZtK6teFMX9okW7du1GjBjh3OP8JEruL2xp2bJl7nPzhRAmk+mrr77Sb+rT7Z3plz2EED///HMxMQshEhMThRC+vr7/epFPAAAAAAAAFENxKUR7vVFV9aeffvr000+rVKny5JNP6pNAPTp06NAvv/yyZcuWnJycJk2a9OnTp1mzZi7zK3NzcxcsWLB+/foaNWq88cYb1apVu1qhpqSkLFy48Pfff7/33nsfffRRHx8ffT5picvZ5ebm7tixY+3atYcPHw4KCurYsWOXLl2cqx5fvHhx2LBh+tFycnLmz5//yy+/3HnnnUOGDImIiHA/ptVq3bBhQ0JCQlZW1t13392tW7eiTvb48eMrV67ctGlTdHT0gw8+GB8f77FIsYudO3d+8MEHqqoOHz68bdu2V7IU4UsvvSTzjK1atRo3btz+/fs//PDDrKysYcOGdejQoTRHTkxM/OCDD86dOzdkyJCuXbsWE7+maYcPH/7666937NhRr169wYMHt2jRwv0uNE3bu3fvsmXLDh8+3KpVq/79+99www3uwwoLC/fu3btmzZr9+/cbjcb4+Ph77723QYMGJca8d+9eObd30aJFYWFhzptSU1O3bt36448/njhxIioqqmvXrh06dHBfRDEpKWnx4sW7d++Oi4sbOnSonhkvRnp6+vz583/77beOHTsOGTLE48KMDodj/fr1CxcuDAkJeeGFFxo0aKC/jJcuXeqS405NTV23bt3q1attNluXLl26du3qHoamaZs2bfr4448DAgIef/zxFi1alBinzmq1yunwL7744h133FH6HQEAACqxJ554IjQ0VC+dVw5pmpaeni5/nBcWFlZMcb/yT1XVtLS0gICAUq7FXW7l5eXJnzAGBwe7TyeqWLKzsx0Oh16ZsOKSpUF9fHw8Tu6pQBwOR3p6ekV/s2ualpmZKdcxCg8Pd14gqsJRVTUjI8NiseiLVJU3U6f//vmyvaUcfE+XuuPGdPT19fVqSFciPz+/Xbt2CxYsaNKkSVnH8u9d7wnoiuvMmTNy7q3ZbP7666+v8GguCegrDa6ccUlAl3U414KmabIkRWxs7JQpU8o6nOLoCejly5df40/8p59+WpbArnyveQAAgH+NBPS1RAK6HCIBXd6QgC5vSEBfY5UjAX1d14CuELKysgYPHizbs2bNql27thDC4XCMGjVKdl7WlE9cJxRFefXVVydNmvT33387HI7y8O90nz59HA6HECImJuaDDz6Qk7idy1tf4497VVVl9rmYAjsAAAAAAAC4QiSgy7vg4GB9scSnn37afYD7Km2AECI+Pt7X17egoGDKlCn6qn1laMaMGfIFfObMGfcFA99///1rHI9e87ply5bX+K4BAAAAAACuHxV4zv/1Y/78+d26dXPvv/XWW1euXHnt40FFMXfu3NjYWHn1oszVrl173rx57nOxfX19Z8+e3ahRo2sZjPzFUGxs7JWXrwEAAAAAAEAxmAFdMTz++OOPP/54dnb2xYsXVVWNjIwMCQm5iscPDw//6KOPruIBy/VRSSAAACAASURBVJVXX321sLBQCGGxWMo6lmsqPDy8XBWArlat2jfffONwOM6fP5+bmxsYGBgdHV0mpa8MBkO5emQAAAAAAAAqKxLQFUlQUFBQUJA3jmw0GqOjo71x5PKgSpUqZR0C/stoNMbExJR1FAAAAAAAALgWKMEBAAAAAAAAAPAKEtAAAAAAAAAAAK8gAQ0AAAAAAAAA8AoS0AAAAAAAAAAAryABDQAAAAAAAADwChLQAAAAAAAAAACvIAENAAAAAAAAAPAKEtAAAAAAAAAAAK8gAQ0AAAAAAAAA8AoS0AAAAAAAAAAAryABDQAAAAAAAADwChLQAAAAAAAAAACvIAENAAAAAAAAAPAKU1kHAAAAAAAoLzRNU1W1sLCwrAMpjqZpsmG321VVLdtgroQ8EYfDUc4f8BI5HA69UdHPRVVVTdMq+lnoKsG5yPd4JXizO39wKYpStvFcCXku5flfClV1XNb4cv7BZbfbhdM/fBUUCWgAAAAAwP8ncwqZmZllHUipZGdnl3UIV0FBQUFBQUFZR3F15ObmlnUIV0dFeQuUqAK9nYtXOd7sUlZWVlmHcBVYrVar1VrWUXhmtdoua3x+fn5+fr6Xgrly8h8IEtAAAAAAgErCYDCYzebg4OCyDqQ42dnZ8qt4YGCgwVCBC0tqmpadne3r6+vj41PWsVwRPRXl7+9vMlXsPEN+fr6qqgEBAWUdyJWSWU6z2ezn51fWsVwRVVVzcnIq+ptdCJGbmyt/KxAUFFTRZ0Dn5OT4+PhYLJayjsUzi+XyPlH9/PzMZrOXgrly8h+ICv2aESSgAQAAAAA6RVEMBkN5zodqmqYoikxAm81mo9FY1hH9e7KkgNFoLM8PeGnIX4gLIUwmU0U/F6vVqmlaRT8LnaIoFf1cZNK2or/Z5QeXbJvN5gqdTFdVtZz/S2EwXN5LpZx/CMu3QEVPQFfgVzwAAAAAAAAAoDwjAQ0AAAAAAAAA8AoS0AAAAAAAAAAAryABDQAAAAAAAADwChLQAAAAAAAAAACvIAENAAAAAAAAAPAKEtAAAAAAAAAAAK8gAQ0AAAAAAAAA8AoS0AAAAAAAAAAAryABDQAAAAAAAADwClNZBwAAuFKapmma5txjs9mu+r0oiuJyL95m+n/s3XeYHNWVP/xz761c1dOTk3JCKCIJEY3BQZgFbJOccMBrY5s1GLPAem28r9M6R15sg70sOLA4LE54bWwwGGPACBEUUE6jGYXJsbsrV937++NKrdZkSSMhxPk8PDzT1RVu9XRPq791+lxFofSQC6WDbiKEEEIIIYQQQugEhwE0Qgi9zIZNdZMkKf6cpunLNRhCyEh3HQelD8L4McbkD4SQ4s9FpWeEEEIIIYQQQgihYw0DaIQQOraKuW3xB5mrDi1bPsqjcM55mvI0EZxzABCCx1EaBkAIoYwwRpkClAJlBTfs6Mjt3tvruuGeVr+1zevri/oGov6BmPPBQyIE6muNSQ3WvLnZhfNrF86fbFnG0GD3xFGa148SYReLqRVFgZJgGhNqhBBCCCGEEEJoAmEAjRBCE0BGvpxzmSkfi5rlNE2jIAgDL/XcdO923t5CQl/Ldav97Wq+l0U+ABCAkYJhr3b6s/UX/uSJuGWPd1jHFQLaOoK2juCFtb0AuwBWAcDUydb559a9+x2nO451tCf2MpG/MhirXYmM2uX/CSEYTyOEEEIIIYQQQocFA2iEEDoMsqJW5svHqCVFmqaFgX7fLbDmjbTpJebl1L52tdBL00QFUA9zbwKg/awrv/1M5epHcwADEzXI3Xu9+x/Y9YtfN3/vm+ctXDDjCPYghGht72gNRC6FhLAECCeUCM5AyP+IECAEI2BQqNCozYSqaY5pmqY5qDFImqbydyGEYIxNbHW2/F0Pe0VBDkMeTpZRI4QQQgghhBBCaBD8wIwQQoeQhbFxHMOx73qcJEmuryc/MGA0rTO3PKsU+pjbz5LIBrCPfueG/dySf/76z/ry6xKA3AQMd4iUi+tvferNFzX9y7Vn2rbV09c/MJAvxGIgSHu9VADUO0qFSTVGmKJapm6bhqZpjLHmvfs2pBlBDIBDa7YJG7ZlRlsMEAMEALkIICKCM1lpToggw0xLSIQgIBhwKoAAZyB04GWUl5HEMM2Ksoxpmkd/+vLpIa9JDO31QQihlDLGsG4aIYQQQgghhNCrGQbQCKFXr5Giw2PE9/325p1a84aK1Y8ohT7CUwKiDKBs3HuI6qYXZi/nnMfTF1IQQtWqfv9ddaBr0Go7r/j3/7iztbMrglX77/rYh+ctWVzNGBFCKIwCgBBcNqFW1YNF1evW93zze+sP97z++Mi+adM3Phc5w90ZD7vJ4hqomO4IOMJYVhCajLqpIEQA4UCLR3ABegFAAHgAXggiAAACoIi0jrsOJA211dls9sjGM/wYhEjTdNjSaUVRhp0gESGEEEIIIYQQOvlgAI0QOpkVOzMAQJIkxba/x/qgnPM0iQfa9ub3NleseSSzdzMAqABTRtkKQCgaTaKwYba78PwkW6P17HXnnSsOYIyFYRjHsaqqcRzbtg0AHe/+HKXU2LXOev7P+15z9T+20w2bB9Lf5i5eMfWNFzT+6dHdl75pGiGkeOKu64WHHjcMQzhQrrtoQcVPf3DBdTc/HQSH0cOaAOxiw6bPI3qpC6Cr9dKllTn1ZWohTQgACICYKHtpFgC29Aro7QcAAFGRuJUQTauvtUxDljBP7MHlNQ9ZZS/JGRFlMH1ggFg0jRBCCCGEEELoZIABNELo5CGDWjkT4LGYBnDYI0ZhGIVB3NsVNm2E/i67eZ3V2QwAFKACoGLUzYO6mQNveE9a2VAcNiHE930hhK7rYfVkr1AoXZ8QIjNKy7KKjR2EEO7UhQONpxIhVkwyLnhNPWNMCOG67oWvawAA3/dHqvK2LKu4Z7k3ztN7vvva1Ws7liyuoZS27M7fe/+2pub8SKdQV6O//j0Ldh5Rc+mH1vReOieXq6gf/ybLWC7H2Q5hzaYeAOzgR9+qZCjSpzh9ADu7E4ACgKhI/TKaTq3I2Kah6/qxiIblFYKh0yHKX7e8PDDhB0UIIYQQQgghhI4DDKARQq9gxaLm41DanKapXygEvifadsH2tWygy+jYqeZ7GYAJMJ6Owt6c5cHsZUm2JqmaBEIovW1JVaO8SyaMvu8rimLbtqxZ9n2/uC1jrBgWw4EiaxlVlx6itKgWAKIoGpppHjIkz5M/KIpimibnPIqiOI7nn5p1Xdc0zdpas7baGCmAvvKKqe2V1UeWPksPbU8WVe+rmlGfkuH7UWQgoSAaabiLm5koDyYto+kyyEdRxFU9C/FUGgDADm75MPweCIh6EvYKLYSDGe4s6mVJsiM1M6lfp0EiIAdqTrB+ofLBjUFIH7P6AFr6AfoDIvyMCMson2yrZY5jWRPQS3oUQ68cUEqL5dLH9NAIIYQQQgghhNCEwI+vCKFXBl7iOBxOCDHQ2+P29+rrntD2bNF6W5WgYAAYh7sfyvr+6cP+tIWE0iiKwjC0bZsKYW76hz/3zNI1CSGqqqZpGgRBkiSMMVVViwWwQogwDI9dFxEhRD6fl5kmpVTX9d//ad/f/9GWy4/YIPtfb1v6j3YCYw2n3CArZpn1NvnLjuC1M8xCyHt9vqEzbsvvL1Hf1g/ndvdmKuy8Mrgdx1KaK1Ybz2fuZi3DeZ5SyjnXNE0IPov5ANDBVYARp4sUQFzBkkNj5Z18/7FyTM2n8Wzm22HB5HyqrieEDQilVegpDFN0LAjJESMHsNcFcEMifEPEWZo2qqK6sqL0IsEREEL09ff7QUQpkUEzo5Qxaui6pmkHStT3vwSK2bR8hhSfKkczAIQQQgghhBBCaMJhAI0QOkHJsPX4xM0AMDAw0Nu2z9q6KrP+CRa4NA4cgMNrbHxA6w13AQCJfKGZQRAAQOy6AEAIsW2bUhpFUX7qaRZhDCCfP1hcbFmWoihCCNM0hZf706N7f/tw+/e+ca5lKnEcj17LfJTSNNV1XdM0APjEZ1a1dfijrEwIrLhu2T/ah7/38lPNhjKFAAgQCiUEQAbo/3SKFQSBDYltwuxT9K196uNNAQAsqVdXt0YDu8K3nRZ0ahWiJEJdw8sAgIJQgQPAdOJRSjekTgLETLlDkj6uLGQuTxKfjVaJnAMVACxIpxFvp7CjQ5PlHKirU8VQ7PnMBQANRJUInShnmiYApAISIBt5Ztg9C0J9ovsA7TFARwQiVIBXiKCOhJMaGuQexuOJne0uUTiQlDAA/dA7OYAP4BMhKAgCQhVpGUSVEJY5TlVFhaZpQohBTw+c5xAhhBBCCCGE0AkCA2iE0MtP9pGI4/g4xM2yT3QY+B07tiqtO6pWPah6OQCwAUZpJyzLa0nJzf43vNefd6682fDDjwPnILhcoep33+m54hauGiBbOYehoiiaphXTQDnvX5qmjLFMJiOHVfb0rz2rvKtx8bMboze9fhKzyi65JHPhhdPD0M+P2IF5Iqmq+uvfN63f1Dt6+gwA1//70uc6R7z3oe3B9WdmgiDQNC2OIvkIyAJeL1WylkEptOaSx5t8AlCfYWvaoigFAPj1Ou/q+UG3WRVQDUpiaA4kBAYAW0UGDnT2doG5ggHA6rRshN4bg3nANouMBelwQT4JgK1Oy+QNRaRTddUQCQARacLjeJl5SIV1KMgebuRBEQBQWltNSAKsi9hdYG9oDwFCjceTo75pk+ozjlPaxzlfKDzeGQlyYAkdu7ZeEJICAYCEMB+0DnDAA/A8AA8AmEirUi+T+tUV5dWVFZzz0oJoSqmqqgfGiFXSCCGEEEIIIYSOHwygEUIvA9nCOE3T41PgnMRxGPgDm1fTls2Vqx+hPFEBJo+6CVfUuGpyYfHrw1OWyyVlT//aWfc4V/SO939JGDbn3HddORlg63V3CCEoTxv/66bW678PhAZBYBj7I0XDMIQQvu+rqpokSbFzggwEBedJFCi62XfulWmaanF83lnc89xj92gMZVnWmpd6F83X1m3o2dUyxqHfcEHdc52jJZhJKrgQhmG4rmvbNgDoup7P5x3HqXJUAPjpmvxAIADgA8uc9e2hxqClf3+u/ItNHKALAC6YSkld3UiNoY+GN464OiGsSdgHLztowkx5GUl0HovQz1qGKtI6r3OKpmma5nOyBTIOpB4wvn+DgyKqNhm1TT0cenJU8Kq0kFXI1OqKjW3dQi2fwPNKCetUMp1KZqcHcOD5o/CkgvsWJLXZTIVjaZpW7BytKIq8IoJ5NEIIIYQQQgihYwoDaITQcZKm6XFLnOM49vK5cMdLomlDdsszip/XAWrH2qr/lLNI40x3wWtBiGIFrr5ns75rvb5ns9rfIZjSc9nHhaIBAKU0E+S4bQMAISTz4sPW5pUCoOzp3xSWrDAyFSzXnZZVF8cjz90wDNM0QQhwB7Zt2HvPr/d94wtnE0UrFAqytfGxe0xGYlkWpXTxgmwY8c7ucMz1Zy6oWjdqhbQA+N6z+XnVisro62cCAHDOKaWEkDtX5d650H7PIlNRlB098f+uL7jx8Dv5+25e1t52+uK6hKpHcFITjfjARJIGzAHD2cOBgpjjqCqkXULNcQqUVJF4FvFGadYBAJzQLqWsC2BHdwITmj6PJKFKF80AQIsL4EYAkSKS8tSvNdUax8w4djGPppQyxrBlB0IIIYQQQgihCYcBNELomCgWOMv2GsdBrr8v3LmRrv2b1bpNLfSN0lKD66Y396xw+qKwZhrXDNkYoezB75ZvW9V64fshDtWuPWbTWnvDk9zKdlzzxbh6srX5HwBA0qT8iV8ova1JRX3/tEUwYxHrbOFMpV17C8svLiy/2F7zqLtkhet5RprCgfQZAFRV1VTVee6hzIsPdy67+I41jTmPfPrWJV8+tT5JuKIomUyGc+66x7XwWfJ937ZtTdN+8KMNrjvilINF/R0ulI3dL2JzdwIAjkZOb9Rc12WMbeqMEg5r26PXTVMBgBIYKX2WchH8Y03HBUtrA6qN92TGgYAQMEbNbybxBs2IqAKfqUadgd+tZQGAA9nK7QqIAmA+ZWYa+iKu1AQP/MVqrChKb5hkNHX9yGH08VNyNQUAEqJ0K5nuGKBPQF9B5bEt4kaDVJp6ZUW5fC0QQmQejbMaIoQQQgghhBA6ehhAI4QmTJIkaZoet8QZADjnbc1N1t9+brVssELPGmk1prpL3uDPWZ6U1wJTi9sqoQuUAkDjndd7p57d9Y7bAKDx7psBIHf2W7uvvLXmV1+n/Z2gqJ3v+DTlqfO3n/ddeTMXwDlXVZX1d1JvIK2dllY2AEAcxx1zzjE5F0IQQuTsgnJmP3vtY+XP/G7v+e+7oeO977KmPbtm64WvnwQAjLGXJXSWZH+MKNpfdv386u7xbLVwTuUcU3mseeyoGgCe2RO91BG/Y6FlavSpjQUA2NgZb+yM6y1o9wAAai3o9EbcPErhidWd151bVVNRrmsqAeJHUXvfwMZo7AR8WDrwU3gfAFBF3cSd+NDZCIsGpc8AEAPdmpqpdkiBsA9sRtQdJ4mqKIGe2cj1hSZJ0zQIAj1NEx4vUiKqqDFQCgIABEAsCBCyjVswVgh+xCaRoIpEL6WZ/bnzqAlyTNV+UPtjgBggl1NEaopkihLVlWez2f0dsYt5dGkPa4QQQgghhBBCaJwwgEYIHRXZXOI4H9QtFLo2rm7843dJFNSNstr0Rbk3XSvUg/WzJHAFU+HABICpEHX/89mey/+19Ya75AqNd17f9uHvCFWXsZ1cHsex6qgVD97eefFHGKGMEnnKaXltWl5b88svB9MXkSjw5p3rFHrLVj7YfNmtlNJMJpN57o/2mkdpEgsgP5938z3f2wcA3/7+VgC45l2zkyRhjDmOAwCcC0KAEOK67nFL8F3XzWQyuk7yhfiGf3tmPJv88PbXzJ83CwAuOoOvWr/111vG/tUXIvGj1S4lwEtOq/1A6Nw1cvosxRzu+kfPV66syTgOADhgV5VnN24deQ7EIXQezVcCQkAIEcdxEIYAYFn0lKR3o1I95uZFQxtSB8BaaHaOE1EQJknKRRJx0BhjjAVBEMdxkiQAwaCtGGOLtVBRFC6gQ2ht4gjDdMmBZDb1QiAiCnVNGxBKl9D2CX1o7ryU5tbwstH3lhCWJ2wT1zf1cujp00Q6g/fPmTFdUZTSl7mqqtisAyGEEEIIIYTQOGEAjRA6DHLywCRJjmeZs5TEUef2LdqzfyjfulIfawpBSXX7SeSXBtDCsH3fT5LENE0AIGam7d2fC8NQ1rvW/PJLvee/S2gHA0FZy6wqCgD0velas7cttDKFfD6T2d9awdixuvOdnwYAGc/xbG347s/OufN6d+H59oYn5TqxU3lT1xVbfrmvdGzvu+7vg0abcZSzTq+65uq5x7MmWs4NeO99W8f5+5TpMwBQSs85bd6ZC9MfP7F1c/fYrav5CPsfz2G5gLv/uvXWy04vHnpFnfZYezh6ba9EQMxX/EKhUNzWcTIFQdcJ57DeAG1I6mjUxIuV0WJy0NWhV87VQgBIkiQI9gfNsou2po3YNiRNU9/f30W7zrbraUgI2Zja4ThmRxxqGvUpARME6BrnvILEWRHKjttyBVdQm/BWrrcI04IkFiQmdFz114RERNlKq7fuKRDBp8V982ZM0VSVEBLHcRzv758iO0djsw6EEEIIIYQQQiPBABohNBrP96Mo4pynnBuapqrHdUY4IYRXyPc//7eqJ3+p+PkxZxEcROva47z4cO78d5YuNE1TxsppmlJK1aBg9rXHbIr90hNqT6u9c3Ww6HwAgNAH3UzTNI5j09AhChPDGcg2Mt8HANleAwDchrnCdeUObdtWGK380w8BoJg+9yx6w9vvrwbIjznafCF522VTirnesVbM0Du7/ZtvWPS5r764c9cYg3TswW8ZjLEPvXF+V0/vr15o29l/DK9JtBdEkiTFGfOqKyuzrbsGmDnmhgtoofSmbdur0zGqgIflgpLjaWPQ3WrIomnSr5YtUrwoisNwmJkboyga124PXGyYpQZUNzaMVaE8VOmch7UkzEJi0ZTzNAxDy7IAwCYcAJw0oIqiE66Sg7+mNq63CX08RxGENmtVzfs8IvhUnl8wtaGYsMvJReXPlNIwitI0tS3rOP+tQAghhBBCCCF0wsIAGiE0WKFQ6OzL7Rzw+6lxaNuBmPF0qZ1Mrh+m70Ucx67nR3HsRUlnIepyozAV+YTkE6ISUaZCpSYuWjJ7nGPo7+4Kn/6/7JrH9CA/UpON/NyzojnL07KqpKxKdnau+fl/Ro2z7Y1PF9fROnfLH2ihz2jZqLdsNFo2ED5844i+U88t3/IMAFQ/8LXeSz9qr3k0zVRqe7eaTWvzZ745mL6QmRlumgQAeEriiAYFEqdJRT11B/Q9m8of/xkZUtHb3bAQoH08pzypwTKMo+rGMH66rqdpSggRQvzxz7sef2rsjhaEwLe/dMawd9VUVV5/UaXreQ+92LKqdeymHB8/O/OD5/Px4TRuuWxBppg+S2c2lj/aHoxZBL2BZ5axnK7rYRjKsvcjFwUH0mcAEJQSkNNLaloYhuNMnEcSx3HGMCYTv5bGsYCt3ImAMpEO7fsxik6hdx4IlHU9nSm8fqHKFh+EijoRdQqNAwEABbgKIjr8PtSC0BaWbdnnzSZdC6Y1Dqp6fmnbzh2sAgAAfINHlSSeXWlXV1aOUg+OEEIIIYQQQuikhwE0QggAIJ/Pt3b17PSFS7SUMAAKzD5kDSFqk/y0cquhugYAwjDs7u3v8+OtvdFADAMJScWgMOtgcBYA5FPYFwh9fdMZM+ssyxr22/pCiN6OdvHEr5xNTzuh54w8Wn/mkr4LP+DHSZIkAABeABBkMpmWy//NMg1r4z+KQbDWsavxzuv3D2Pq/KhuelQ/M7vyd3JJVD05f87lYcMsUHUA4JzT6kYSuO1X/luapuHpF6uq6s9eJrw89Qus0AeEKrmeqgf//7hhZlxRr/a1+3OWZ596gLoDat/wKfPcv3z3/W+/5ae/2jvy2QAAzJ2T+eRNiwCg2JxhwqmqKjuoyBkUCSGbtvTeftdGPxgjCT79tIrJ9cYfH9p77XVPKspT804tf/fVc1/7mnmDpqSzLesdr53H/77x+fYxSqG/++zY9eCl3jJHmT9t8GWIqsqKBV07NvJRnib7hYJEYQgAYRgOSrEPS7eWLf5MAKpp2i8UHgY6A1vXZabveWP1tB5ZoVBw7DIAUAksZAUA6OdKszA5kEoSxYJGQCMg4kBqXBf2TbJYN1c7hDa0fUcIrE0YU0nQQKPVaZkAEgJZwvIDCTgMIqAFwbqFdsTPth3C7m1qb9CFrdCKbFaG+wtnz6jt6X2xPwmpFlCtFbTWPoC+Xp3H5TSZbrEpkxqP5leAEEIIIYQQQuiVCD8HIvTqFQTBzuaWHakZEEUQCmAAHbyOkwaTWNRYme3uz/VF6V+bcrlt+ZCDOFg7OWSbEZEX+sgLL3ZRENMsPtkm1QadNWM6AHTsaVEf+5mz44VsMloZad/5VwdzlydM831f+AfndlMURdM0IYRlWTW/+FJpGXLUMKv3og9xyoRhCyEopRV/+i8ASDJVndd8UbayNZhKAUjggma2zzwDYq5Couu6seulNFOVVNR1v/kGQohsdCuE2PX+r3HObXt/O2ky9TTDMKbc/a9EDN8K+Zpt33n7imlv+etZI/VZVhTyr/9yiqZpxc4eE8txHHnu8ibnHAB8P/nKd14aZSsC8ImPz/3ve7evWtm56sDCJBHrN/Td9h/PUrrq9m+dfcby+YO2euf58wt/3bS5ZyLbcfxhe/KH7Ts0BqdWsbcua2yo2x9GL5o7e9OmVkHGeAZu4c5pGQEAQojx9y5fSnOEQCDIJp4BAA34QlZIOV8nygEgk/hZLeac+0kgEsgHglJq27ZlWUecQQshTMKbU3Ma9eI4DsOQAZyqFgzDEEK4nksIoZSaphkI2sZ1xTDWJfp86K9WYpCXTygFgEQQX5A9wuwXar842AejT2h9qQYENJ4uZK5JeA3EAJAKaObmABx2x4xeavbGADGAH4IIGHAFeJUIp1JeiP029WBeH1K1A9QOD1Zt72YirRTRNIvMmj4N20YjhBBCCCGE0KsBBtAIvYrI/G1bU9NuX/QqsnQ0O0yALMS0oDNIYV1OKaRsLQDs6QMAADKuucvGwoHs8ugeH95kdfY+fE9Z89qqkQYMAEztuvKWuGbq/nnewgQgURTFMAwZBwNAmqaM7a8A7Xrnp9Xe1qhqUhAEhmHIgmJLN+wNT9mbnu58x219l1zXKwQAFPJ5x3FURQFC0jRlhk0BMo5DArfqwW93vfPT+cnzwjDMKKoiBADITBAAVFW1DQOE2N/SQQhj59qR0mf5qOn97aMknz+56wIYd9fgIyOjyUKhIIRwHGfoFIilKrLqitfW/uKB5q98bcNI63Aubrpl5dLTtnz/u1eUxoiEkA+tWLCzueUHq/IT2xM6SmFzV5rtFdDTdkrau2TBPErpBVXsid4xjpMCgQNtuy3L0iEdz3R/67mzmBV04EvpAAAUBBMCGKXTudcszIJiAiSMMdt2fN9L05RzfvTXD9xCYZotilMmAkBxuj/HcQgh+XxeHqUaQFXVajWglMlXwaC5K2coruzosiYtAwKlr9wIWLERNgGxhOVnMR/A5wADQskLdUCweP/64369E5ICS4G1EhUARkmzU8K6iNkVwAtbOgDE9Lh3VmN9dVUlhtEIIYQQQgghdLLCABqhk18cx919/dvbu9uUrCAUwB72pa/yuNzr35yj/SnbAeOamuxwmZTPYIUF/Vsan/zZSI2YpahhVvebb+CKFkVRHMdQKFBKM5kMgBACOOelIZ3kOA7nPI5jUTVJLnFd17Gtyj/fbex6CQD2XX9ncSs5ZyARHCjjnGv5npr//QpJInfx6wfOe9uey25JnbfKrQAAIABJREFUCgVN0+RMffuzbwDbtmWSK2cdzOfzjDHLsiof+e/RTzw1MyPd9a0vLpOHOHYBXKFQkG1PZCn0f3zxhVFWnjnNbttT+MUDzePZ85p1fb978MUrr1g+aPms6dO+NR1+v3Lzk7sPp9PzWM6eRAAACNmmVG3b2lmRuIvqymbHHTvU6tE33JaaM83E933P8+Y7dA3Pjr4+ACRAt6fWDJE72BTFcdamZadQdxnNb01tAAFAAIRpmvJ3l6ap7/vjL7IeSggx9IktDV1ezKaHH3+SFAoF27aXKXkAEAJe4k568HKTHDwIIGvSssU0T3gCAIqXrwColK+OQ5+QrmD7hB4IlkzEVagDSLNa1dwVQ1eHzqMG4S2YPtm2rEHdXRBCCCGEEEIIvaJhAI3QSUgI4bpukiQtre1Nwg6prEmsGHZlKw01P99UIL0xG61w8SiGM0kJz8htrNn6D7t127i2IKT7ilvyhQKJEkqpZVmKnxeWDQC+HwDA/tbPh5Ixq67rMi82TbNi35ZiNBzVzZB9M8j+XE0IIEBoxR/vMls2AEAwfWHPJR91XVcUCgCg67rsiVGss6aUJkkShqFhGEEQHAjEAQB6/+kj5U/8jAbu0FFJYVnNsMs/dfPi6iorTVNFUWQLBdkfY6IoiiKHLftCyDYRu/eOOM5smbp7Vz4Yqyt0qe/dtX5oAA0AHV09z+yZyPQZAGos0lVys0+xn+xJYaz0GQBSoLJ/BSGkUCgssUUrmMX5+kaSB2UvderVROa8hULhNAf2cKMq6J2lJ4TsfwMtHHjCKIriOA4AHGUz6AlULItWVXWxLgghTanpcTJFibIkyQvWybU8KD1CDUFr4IVMJiOECMOwmHebpqkoShiGPIoaCbFtmwPpFFooSE4oyeHMkTi6kGrNoDXvKQDks6k/xVKmVJfrmnbcZuZECCGEEEIIIXSMYACN0MmDc97Z2ZnL5QBACJEAaSFOSJRsXBhQB8/V5iQ+8d1dBdqf0GH/FFTpMMMhjRYYjADAb1t4cjiVnSrh87X8ko1/zO54gaYj1mkOFVfUd139GQCobduq7dtK/ULUMDOqnxU75TKiHaXCVKZ+lmVV97ZUPHIvjcPiXblzLs9sfobbWW/awpTzIAh0Xc80vyTT59wZlxSWvokQohwAB8K74uE457IFh6yGNk0zDENKKaXUm7FYbW/KrH1spIH9UrsIoHXo8lUvdC04tSKOOWOQJMkEps8ybAUATdN6+5OaKtP3fVUd4wLDFZc03vOjHcWb73z7rK7u4PG/7RtlkzDkpS1QACBJkp8/tX1d55Gkz1UWWd5o7BlIdg8kC2vVZ/ce0paE6+YR7BMAfGAvQXmNGU+m+y9gVIS9kyyrQ+itQh+l0UQ5HPJLcV13siWobXPOgyDQNK14HSKOY9/35cqO4ziO43nexF5OOBrFcuk66qqqqoJaEIoBfBbzwzAkhERRlCqKfAkYhlGsrS6dFbNYoO0AlFE6WddBAGMsB0qfUHuFCkBU4I00FAISICHQAaEkQIm83jNeZIBZAyFs2OfNol1ZkpqmWVlZadv22JsihBBCCCGEEDrxYACN0CueEGJva9uOgTAnmEJpBHYMlJfEPaXpcyZxiedtK7BCejB3ZgROKYNJFslqwAiRDW2jKFIURcQiBZUxduU0+mwXN6nYmh8tSCpX+Gmkc+4zP7M6d40+7O5LP1r90A+GLlf72hvvumH/qRHSdv2dnHMhBKSpLGKV+e9IbNu2tjxb+bf7C4su6Dnnyml337R/+UuP9118XT6fB9eVqzX85FPMLwBAx3s+n1NtiGKIYiFEHMfFquf9Q1JV+ZiUHkjG08Ui6IFzLk8qGyoe/5+hQ0pN5xe/GyZ9fuMFje+/ejYAtHf6Uyc7o7RTOFyapum6XjyFz3xp9X9/9zxKqaIom7b0jbRVWUYpTZ9nzixra/OefqZ99GNNnWqXps+c82//eUvnYZb/TsrQK+bbjBIASJJkbo0pn2RnTTGEEAMBf2CD5yfC1Y48ghRAOoXWmWompDOpa9sK57yOhPU08jnZLDIq8HhIQ/QmYS0xEwL7g1f53QIAsG070S0dUs/z0jQFADlHpdxKFuPbti2E8H1frnCCkNdR5KWUiFKuKLquy77So/f0GLqfYjZNAWoobThQbi+/oKADOITUMqYoirzy0ROLNAoFkH3G8F8IGGontwGEXUgb3PZ9qTpVTWbVV5eVlR3uWSOEEEIIIYQQehlhAI3QKxXnfPPWbdu5HRAFCAVijlJimIldLXBfHFATQQBUAnBpAzc1RglJkkQIwRjzPNeLDikultPiFQPZBQZYlrWokggBq3vFgqxglP5+jwCARi1eluye8cgPaeQPHYUAkj/7MnfBeUCpvu35cNZSYTo035OUVXe9/ZPZP9w1NK0WTOl8538k2RqSJpQpsueyEELWJo/C930675xmu2rKo/dMXf93AEjtbPv7v+y6nsjnAcA0TcaY2rxB8AOlzaomiytlhw3GWJIklmXJPE724hi2Oa+chFCOjVKaVNYPO6R3bL4cYPAEgz++83xFIUKIJElqqxXO+QRWy8ZxrKqqrBbnnN99x3lRzG3b/uI3Vm/bmRtpqw+9b+Y3vrWxeLOpKdfUNOLKRV/6/LnFn4UQP3h08/jT5/ctYJVldpwKRoESAgdq2HVCgiDgnMuOFlmDfuSMzO825mI2Ae9ZPrCNogzS/SOG/c8CsUgpAEAsYAPPlJbrruVlVPBFtgiDoBglu66rKEpo2GA6UBgAgEEps+d5sprYsqyjn5zwGJHXmSZk9ku5q0EL5dO72EJdAzAMgylqzMPOkbvM10PQBdp86iZAuoXaJ1QXlJ2CCUq2ptrWfR7ZW6jm/inlxpTJk45+5AghhBBCCCGEjjUMoBF6JRFCeL6/fntTi1YlgACUDynZPIgI4aS+5uVXDegAoFFtUQXMzhDZ4zWJEnfcuVOxlrbY2fZUHdIArEzmHdMJCb2aX39T6e8QANzOtl3wXjJ9vtK8IZ06Hw7Uxso9CCG6py91TAeE4Jmqzvf9pxCi96pb+whpuPtmmuwfUNcVN7vV08IwBHfEbsWlFEUxTROEAADW31n700/2XfSh9mu/QQhh3XuTykZCKCFERs8AIDaurH3iYKly/X2fafvId2IOjDHbtpMkqdnweOGMSxljhmGAECDEsDME+r4vuyoDACRx1YN3DH7cgNwUfrBvYHD+eP/dr4uiqFAIbdumVFEUZWJbBhcLdeHAdItRmF77sadG32rXrvzUKVZXV+iPuwf0ZW+eMnv21OLN3zy9ual/vI1a3neaVWkpAKAykiRJKkSxtt3zPMuy0jSV0+jJKemuWFDGeY5SujG1Q6Cj9M0YSSWJBwRLD3nNkOJuVqdlDkknE28JzQvB5W+cENIvlBZurBPlp5k5RqBY8pwkCRQGHMcRTiaJI1lTXEpW009gYftJIAgCgCAL+YYRZhokhLiCNpIIAFQQU0g4WQRJkjDGgiCQV3pUVSWMeG7hpa3bBzitJMkps2YqinLspvFECCGEEEIIIXQ0MIBG6EQnv8XfPZDf3p3rYg4QAtpos65RwTOpr/ruhoJmKVBnGm+fBpxzmYUNqeI9ErJLbJIk+Xxe1/X6x36aZCo73/O5NE2LRcrxtAVCCJEkQRCUtrMghPi+zxiTQ5ILGWNtH7m95tffAM6FbrJCv1Y7XXWcQUXHlFLGmK7rJPJBtwqFghDCsizGGPELam8rJzRumLX3ujs8z1OCIJPrTCrrCaWyiYfnebKiliw4J9r8lNbRDABRtrbrPZ+TB5Jpcs0fv6/1tvmnnJlma6xN//DmvwaSmNNhJluT6wshiODOiw8XA/SintNWbLhvmOrXu+7Z9MYLGlev60k5f+875hyjCllCiOM4jz2x9yc/f2GkdbJl6sxp9vvewKamLfV7fgznAQDkszMeyJ93z89bR+62DQDwmU8vu/iflhZv/uX5LStbxy7irrXp1Yud3kIo02cZOquqqihKsXsDlFTUuq6byWTiOC7G06cYsbyQQAjhQJq4lR/HexkBMRXcOIl1XV+dHuzhUAmRK2hIFAAoCLYrNWYmvf1aWT2J5LOCAcxVVU3TAEgH1wpG1Qzih4Evn+2y20YHy0zOaILzlFCVQBzHURSdOA2gT0ClV1w0TZMF+77vyydA8fWgHgAAlmUlSeL7fmmptQUQM7Zt2zbGmOzHXVFRoes6htEIoZedEKKlpeVvf/tbb29veXn5BRdcMGvWLPzrhBBCCKFXJwygETpBCSEGBga6u7s55wEnm0QGlMwo61PBq4VXC5GqKomIUwPeYESyc/GEhM4AIIuIZYJcjIbDMGxb8UFKaZDPyxSpWCI60nmV5oySrHX1L72RUqrrurFlFShqEseWZcmaRxACSj6zGXu2KH1ttmYEM5akLGM/8iPv7LdaG57se9O1cv+O4yj9nUnNFKBU5tSqqsq2yEEQ2Ay0jubC0gsHzrmcc+4VCjK90nW97kef6p+9vP+0FdV/uFMd6Gx//5chTQRTKCGDGkPDgRYcyd4d0/7v9mFPNtO8jtLXDcohq6u06z4wl1I6e2aGMTax6TMhhDGmqipj7K9/bx02ep4z01k8z7lyxp6q3A5noAUAoPnQYQ/suhZ2XX1t/afWnv/cCz1D93D5W6fedOP5un6wi0LfQO6RpmTomoMwClcvdgCg0tHlJQHGmBBC9g4utjSRKxcTZznjX3Eng5qAT2Kerus+1XZwq7T1uQnpqczt5woQGBBKr9C2cXum6nem+9/4qiCcxsI4jkNBdtHsKcxLgZg09SLewGIAwhiTz+RiIbMFkFVVouux7mRIIl8FnudVsVAYRp5oGUh835dV5ydgA+gTU7ENiKqqjuPEcVwsJy8tIZezg+q6PqjYPE3T4oOcz+c7Ozt1Xbcsq7q62rKs43geCKFXqa9+9av/8z//s3z58vvuu690+fPPP79ixYriu7xt23/5y1/OPffc4faBEEIIIXSSwwAaoRNOZ2fnwMCADGUsy2oXRpsYsV8qEbwm6t81wE1Nqc0kYRiGo03Rd4TkpHZhGA7bKaJYkHjE3QZkswtCCM/1uUlSmLwgu/4p2jBbYTSnWJlMRqbPcv+KotBcT9lzDwFA9unfcEXrW36JMOz2C95rEEIIsYIc50aYqQp9v1iFqiiK7/uWZVmMCN3cd/2dnufJbJ4xZlNR/auvqrmuVLfD866ov/ffe95yQ1AzjVLK/FwETLEcMaQeWBbnKpNnD5z39uzTvxp6XkpQIIQAHNzwsksmve2y2bIAKkmSo++8IfuKyD7U6zf1vrCmZ/O2/rb2wbs9/zXVZ89VXgPPl+V2qbEHALBnjD1bbvvtc3/38fTyF9f0yiVnnlF92VtmL18+PeMMngxw7a6uMYe6pF69YIZZvJmmqayjl9PZyQxRFtd7nldaPixL10tzyVJpmnqeB+DN131VVTmQ9TzDgfjA1qWZU6jL3VwtpVNMayN3NogyANCAL6B5z/N8SmW/7/mQi4IoTRJ5XSWfzyuKMmx2LCNRAhCUtCNP09R1XUY8184qhk3jIJ/PM8YsywqCALtwjNPoHUuGXrgaZTXXdXt7ew3DME2zpqYGk2iE0LHzwgsvbNu27etf/3rpQtd13/Oe98j0Wc5S67ruhRdeuGrVqoULF75MI0UIIYQQetlgAI3QCYFzvm/fPt/3wzCM41jmiaZp5kEZNn0mgjeGvev7SW9MtwM9NcsWlHHPGyaeOxpyDJRS13UnZKaykWiaJjNZWlbhEJKmqTt7uWEYghArTYepEV66wl26QjbWUJT9UxTqQgCA7/sJNSABSPzSLXzfL4fY+fv/9Z//Ts91S/NNm4qGez8hf2ahm3n+ob0f+Lrv+w6lVX/64cA5Vxgg+kfopuD7vmEY7mmvHzaA/uu8D6TPHUxm3/fO2Re9cXLx5lE+pJRSy7K+dvu6jVv6h13BNNiNH551Xv4v2dwuloYwTCnzGBiP//O8TU+tWHHWmbOrq8sZG6YPidSWGyNjZQROr6d3rMzNLieXzstEUaRp2tDfbJIksqlFaTQvO10wxpwhXVlKhWEoE+r5eqSo2lpexoFs4c5SO3VdlwNUQtwJ+nya14HL/cinwbCXAcbMOoeuIIRQgsIerTJk1gI757puPp93HMcwDM6553lDr2GgY0deFZBJtGVZqqo2NDTIKnuEEJpAO3furKysPP3004tLhBD33Xffjh07AOCWW2751re+5fv+Nddc89vf/vb222+/5557sBEHQgghhF5tMIBG6OUkhGhubo6iKAiCYp5FKZWtihOAHYlV0lRAgICZQcfTvbrHyXZQACCjwMWTqRCiUJjIWewYY6ZpxnE8sZPjjcT3/UFL5CNQ7Ak7yKAUUvaQJYSM0s7CsqyYkL3LLlWCoLQs2tT1hh98rLiaAMif+WYFoHHD45nVjwhCkkuu41yIER6H4vBab7ir/t5P0ODgrIn9c8782k8Pps83X79g/lxnohpu6Lq+t9X/7Ff+Puy9/9+t81bs/m8lKsDuoz1QVffGFe+90cqUjb7a6ZPNF9tGO7VUwL1rw0odLjnVAYDRP3vLSecGFSCX3nQcZ5Rft0yilzpiDS8DIC4otm0LwSto3Mm1HChmoXf00zliSZLM0grroIKQ/TPsjZKYo+OD8/3XG/r7++WUoTNn4qSFCKEJ09bWZppmVVVVcQnn/KGHHgIAx3G++MUvEkIsy7rjjjtWrly5YcMGMcLMxgghhBBCJzEMoBF6GSRJ0tnZmc/ni81P4cCUcQCQpmkQBIQQVdMJAQFC40m537dhgAWCdTFjbjmZU0Z+t5tPt2FpFYUDhZwTQtd1VVVLuzwff5lMZvyNCxRFYYz5Jd02hl0nTdMoiiilpmmGYahrqtq2s/rBO4g4ZCsC0HjXxwRAXDut9bo7YgFBwR20N9M0SxNzOV2eaZr+jMX25pVyYWKW/fMjcwD2n4Ku0WWnVcsPnAdaRhw5x3G+8p21m7cODFreWG98/tryeRt+QnY8LJcIgNQsZ35/6SfdlGksjWKrkqumNrBPnvUo3E1PW2ddMvqQ6qvKS6aOG94180k2Y8taYF3Xh151KIqiaPRi52JBtGzMXXr9piiOY5WJOdTtEWqTMBfRPC8MnGbFaZxO8DcFAOBAJi5/Joko7buCThCylB4ANm7caBiGoiiTJ0/GGQsRQkepv79/0qRJmqYVl/i+39TUBACf/OQniy2A6urqqqurd+3axTmnlB7WIXzfX7ly5fPPP79hwwbf9+vr6xcvXrx8+fJly5YNWjOO4zVr1jz55JOrV6/mnC9atOg1r3nN2WefbRjG0Z0lQgghhNBRwQAaoeMniqKenh5Ztjl0gjLZ5VZOsKbruqJq22KtOuzxE1qms7qM3uiIJEk0TeMCduX5FVOp3Cfn/OibzMpuGwAg24Ac5d6Okntoi4zRlXaGHTpPIMgG06rC23Y5U04RPAWAaT/5JE1GbH/Rf8G78vNeE4Zh6h/STttxnCiKGGOKosi0MYqiMAwppdme3c6aR43dm+SaXFE/F70rlz/YGePe758PAGEYHkHbDdlKWE5tR4j6wpruH/zoxUHrOLbyX9eG01oehA0HF0aZhtbzbgCqCMGn/+nTffPfQoOBwuTTgdDUKONMS9NUUZTGv9+uFTpGGUB2y8MwagAdhOE9T4/RUrrOAsvQ5Edu2bd69KeZ/Hw+6GlQKBSKwbScuNKyLEpph15RZiQGcBO4EDxJElVV+4SqCq4TXuH31WkaIQqM0G1jQshRaZpGKV1M+4XATPPEJbtzAEChUNB1Xdf1uro6WRyNEEKHa+i/WAqFwtatWwHgLW95S3EhY4wx1t3dfbj77+jouOmmm3zfL/4LZ/fu3bt3796xY8fQAPr+++9/8MEHi2uuWrVq1apV55xzzqc+9Sm82IYQQgihlxEG0Agdc5zzzs7OXC4nbw4tgDVNM0mSNE1VVRWKFiQpIZyAmMP8WOUpjXnKi8WgMrarBpigXg7Hu9vGeBxxQbeM/4y+dr+8LggCwzBUVZV3qdlKDjDpBzeOvoewcba38HxvuAeXEOI0ral+/L7dH7mDc54kiW3bqqo6T/wiu+np0jU/Sz6w8sWD6fOUSbYQIk1TXddlg+/xnIsszKSUys7Luq5/584Na9cP0zuiukp7YMWTWsshnaB75r85P+M8zjlPEsZYxxn/3JeZpihKkiRCiNSPACIAcBynZ9Hl9c/eQ8QwE+5JkVGe29eara0pPpil/CD48kM7/LEmh5uZBVVVZWSvaZq80DIsSqmMAmXV2KAJCUszaDgQKE8yktZUbVYP9AlhABwcSOZAvpD3YLgeL8fIMW2Vjiac/GvseV4ul9N13TCMqqqqsrIxGs4ghFCpurq6JEnkRMdyyW9/+1vOeUNDQ11d3aCVR5lNYVhBEHzta1/zPO+1r33tVVddNXXqVMZYkiQdHR2tra2lawohHnvssd/97nemad58883Lly8HgK1bt377299euXLlb37zm7e97W1HcZYIIYQQQkcFA2iEjqF9+/a5rpsKaOamxy2HplPpwapPOYmcy2mTMFQlNQJ3Vz7tjegZNbTMVOSHmWM6PNltIwiCk6ZNbRiGhBBWPUklhDFGeeq6rm3bwHndz74gyOBvvOaWXZQ/+61xHMtvzsZxHEWRGPnRqHrylwRA5rCaplXf9xktP3hqv0/TDz/7wiFZcHWVKscmw98xz0LXdc65pmlf/taLW7fnBUBNtdHZNXxiW1dj/OJ1f9WCwYm51blN79/btvAqVVU5513mJCgpFS8qFAo8O5WrJouGOWtB6Jbsip7P3gH89wBAqqsyV18169oPmPb+z9iu633jkaYx02cAqDSBEKJpmvwdjbKmbdt/a3a35ejMDL9u8qM7rcvGfH7GcVynKzbxwyiq0FmH0PuE6gE73O84o1etNE3TNM3n8/39/aZp6rpeU1MjeyIhhNDo5s2b98wzz6xfv/6ss84CANd1b731VgCYPn16RUVFcTX5ha1MJjP+PQsh7r333p07d86YMeOWW24phteqqk6ePHny5MmlKydJ8uijjwLAbbfdtmTJErlwwYIFt91226233nrfffdddNFFh3V0hBBCCKEJhAE0QsfEzqZdL/lqSmkC+4vpFJLOYGE+nzcMI5PJuKnYza1ar6+5AC1BkggCwJZUkHPqwHVd1yUyO5MZMSFk/D2Rx0P2QCgUCi97t40JJx831rMvLa/P+wEA5PN5SmnHuz9Xf/9ni6t5s5b2XfShQqEAhYIMRqMoiuN4pOJrudv2D3+78Qc3Ntz1sdzyi8uef2hojPqf1r88u3JwkfKH339qHMeWZQkhxvNLVFX1hk88k8sdXHOk9BkAfnTxOm1gmHrtjjM/AISoAMW+LsOybdvo3k6HS5/3zn1ryy13CHd9cYno7sl97+4137vb/thHFn/8+m07m+9+cXCD7GGd2UBm12WKI1EUZZQnnhBiW44CwPsbn/Fow9C0OgiCQR2i0zQVgZfVki1KthHcGq9rhuOkAgZALc9kJmriR3RyK+3fGoZha2vrQMyn11XXVFe/jKNCCJ34zjvvvMcee+yaa6756Ec/Onfu3DvvvFO+2V111VWlf1gGBgby+XxNTc34W2H09/c///zziqJ84QtfGLN02nXdpqam2traWbNmlS6fPXv2nDlztm/fvnHjxrPPPvswTw4hhBBCaGJgAI3QRArD8PmtO/eqlQAmHFp8WU5iALBtpxAlO3PBS3kNwAXQStdZ2ydsBfb6FhBYVklUnTAiJrY8WfbMPWlKniVN0+I4VhTFUNWqP3y/f8U1OaOcex4AqKoaxzFjzNh8sG+yoKyw6PUgJ45L47CQ9z2qG8Yo/RNkMJ1wAQBE8OzzDw1aQQDcOenjT/ypfdDyjKOUZfbP/DNKECzJniFRlJamz6P42U0827xr2Lum/+k2ztTuhVe6k5YMu4JlWZSS6vUPZvY8N+iuSC9buzEbfeerIx3X/f7dq2tqfs7mj2eQGoUzp1jFvt6EEM75sN26Jc55uUbOr8kb1NtJVxSGxMfyywGDMmjOOed8oeZ6qRBmJhUiCnyWJJg9o3EadKHCsqwyhfb19m7qLphBfunCeaqC/2RCCA3jxhtvfOCBBzZt2nTzzTcXFy5ZsuTGG28szZpbWlra2trOPffc8QfQbW1t/f39c+fOzWazruu2trbm83nHcerr6zOZzKD9tLe3R1FUVVUlp/QoIoQsWrRo+/btbW1tR3GWCCGEEEJHBT9NITQB4jjeubdtk0ciqoJaech9Qugirko9WyQvuEpTAQAYwPBlLA7jz3TRcg3OrSWEpxPbgqPYUXcC9/mykBMAAoDruoqiGGnI2ncSAmVrHu257Kbuyz5eKBQICNu2tZ59SWYK51xRFG/5Rdnn/kAEB4B9191R8+uv610H583rm3tO7oJ3OY5TDKF0XZeNueVNRVE45yMlyJyp36/76IND0mcAuO2WeUmSBEEwnuYbQRAoivLBjz01nsfhto80TGv+8Uj3CiC7L/wsEMqiQqakCtg0TUVR9N5dDQ//17Bbbau/pOvfvzHm0fNWJYyjev7Gs5w4jtM0lQXgaZrK9tkjPRqKogCAyfhry57axi73R3i6ls7eWRRFkbyEYJomBSYbXo89RISGU/xT6QAYhtG0c2dHqlYbbPbkRk0bphk6QuhVq7Ky8sknn7zlllvuu+8+ueTiiy/+8Y9/XFr+DAB//vOfwzBsaBjmmz0j6enp4ZzX19e3t7d/5jOf6e/vl5fbbdu+/PLLr7zyytKV9+3bBwCapg2tlS4vLweA4mQkg/z5z38e+q7qeV4mkzmRvycnhCj+WyKKold00y15IkmSnMgP+HgU/901/ilPTliysuGV/hspOgnORRaynAQv9uLXbaNP7pnQAAAgAElEQVQoekXPDSv/CKdpesI+tZL08D4JnuB/hOXYXul/WjGARuiodHX3rGvr61YcAK205NlMQyPxB9x4p6deNY2CSuOYLK+mbsI7SjLM6TaUa9ATwdwyUqEB54TzNEmSxE8mKnsmhFiWxTk/CaJnqVAoqKqq63rV1mcqnvsDOfDW4k9fXPn77/a89UbHcWjXnvqffpKAEIQOvP7dSvc+56W/AUDrDXdRd4DFAahG6T4rtq703vje0v4YxY9wnucRQkzTDIJg9v3/MeyQfjn34w/+Ys+wd1FCx3MhQVEUQkh3T/LxT40rfX7rPzVc2jFi+gwABMT0hz8jf955xr/URz1B1WzF76tZ9TMlHL4sONactesy4XfGTp/Tm2/59HdaPv+NhkdaRnsLvOmcMiEEIUT2ofY8b1DZcinZEn19dzJZy1083dlKL/M9b5S32EKhYNt2mqZDrwoctykH0auEfI5lKBVC27WrKeGitrqqpqbm5R4XQuhEUVVV9dOf/vT73/9+b29vNpuVge8gb37zm9/4xjfW1taOf7fd3d0A0NTU9NGPfnT69Olnn322oijd3d1PPfXUT37yk56eng9+8IPFuLmrqwsOzGA8aD8yCh/p/fcLX/jC0Ou1jY2NVVVVr5QeVq47roZgJ7gwDE/k7OOwnDT/EnulvATGlCTJyXEuJ8eLXTo5vpFcLAA6AcXR4fUvDYJgzO8rv4zk2DCARujVKI7jLS37toUspioo+yeqMtMwk3h7cmlXxAIu//WvAsBf2/jyKrJ5gO31OBcAAA0mnFVNCY9lL4JJSswjXpjoP92UUtM0kyQ5ad6qCSGGYRBCKKV1939WyR0yAaDZ/FKSqaz/6acHzntbMGtZ2w13lj/839bONeWP319cp+IPd5q7N8qf3bln2VtXle5BURTZDBoA4ji2X3rCXfw6WXBd++NPBeX1NB3mbSyoaLxnhPQZAB54cPctN5wWRdFIHyoYY5RSwzDu++W2vzzeOuw6RYbBbrxu/kVvXCB4Cj8eLYAuNev5H465Tn/tgg1f/hPkx/6XEHvP1Z/43wQAPv/vz17+ibM6hruucf5ksnRKBgAIIaUfqEa6zs8Ysyzr3vX+7Ay/vPzvW+HSMAzHfH91XZdSatv2SfMMR8cZY2zYavphFb8DYRhGa2trd3e3oih19fVlOKkXQggAADKZzCiz/BUnBhw/+QeqpaWloaHhm9/8ppwDGQCuuuqqm2+++ZFHHnnd6143Z84cuVCGyMpwzYLkm+/4/9whhBBCCE04DKAROjx797Wu7YsKVAdiAAUQvCHs21fgrSELOAUgQ19WPSE80ioA4LQKMiNDVCJ83w+9Y/sxwLbtkyl6lq2r0ySp+9+v0MhXvYFhVyNJ3P6Br3HOWRLXPPBVtb+j8x23KfmeiofvafvnrwrTIQCFzt3m9udSu8JduoLHUaZpjdzW3Pqcvv2F/jdfL782GASBsmzFtLtu2Hf9nUmSKF7O8Yb/7uq308sBukca+fuvnut53iif+jjnum68/6N/T9PR8tZbPzbvwv/H3nnHx1Gc//+Z2V5Ovdtyt2xwwxSH3lvoJUDCN0AIPxJCCyUk8IUQIAkkEPgSwHQSCCTUEFogCSSYEsAYsI3cLduyZEtWL7e3fWd+f4x9lk+n08mWbMme98svv3R7M7Oze7N7t5955vMcPV3TVPYYGQ5eRkoA2Djpm+uuuBdSBF8B5/70mu7H/kjbO5Lb8JGH/eSDkqQ0vOz15YXH7ZXS2vdn6zFVDMOw93I/z/PSSn6aps2r90MKs/NdAUWlaOUGmJBNz/tKGsnh9IskSaqqdhAxH4eEkOzvlp7nmabpA8KEbGpsbNjYIEjS5IlZjVgOh8PJHsMwAEAQhLvvvjupPgPA+PHjDz744I8//rimpiYpQLOwa8dx2Nqjnu0wbZpZsfXm1ltv7f1l+tJLL0mSZJrm4B3N4JNIJNgPEvYrcVd3Z/uhlCYSCVmWU2xbRhzJWEhVVdPOhYwgXNclhPR11YwgWJitKIqqqvZbeDjDFlOO9IsdAGzbZrdcwzBGugWHbduiKCqKsqv7kp6B3lEVRen5VTvcYDfVET1mgAvQHE6WRFH01ZLla6RCQBgENTdMxLz4B+0KBVTTt6czY3oe7JWLmBGwl8jGOHeHME1zQGLKMEfTNEEQaO2Sircf6fd2G5l5xX/9ndS0DgFEWqzh8rmAUNFr9zf+6MG4ZYFlAQA2i7r3OyUMQ2RZ8M1LY3MvZ3UL/v0MAOgPXxEUVTaf8zOEUNDVvu77vxv/8BUZ9tg+/ch//7lP9RkAbNsuLCjwPK+v1Umapl30ow8zH9efHj1m3LhRPbcIothdMDGnfU3mitlQO+28DZfc2nt72V/+KBYVdN11X3ILLim5buVsgK069apV3ZedD4tbtta6+sAYAFBKPc/r/UDr+76qqr0F6CAI1nVHALAuIe1nQCFd2aZNy2ZhWgZPDw4nLaqqUkpFUUwkEkEQ6LIMioIQyj4amukdS6JknCMFH325rLEy7Jyz16Th/MuVw+GMLAoKCgCgpKQkNzc35S3mAlRbW5vcMmrUKNjivZvygMp+E+bk5KTdy0knndR741tvvcWWZ+1I/4cUpn2wG7KiKL2dr0cQ7Hc7mxbd1X3ZIQgh7OfubiCmM1++kf6JwBYBephfztkQRZFt2yP9YmdBTuwRSVGUES2mE0IcxxnOcxsDHSrD/CbMvu+4AM3h7M4QQuobNy3uCGwsy0JuaaJpbUJs9NmF0//t6cwxSACaSCS2WyJDCCGEDMMIgqBfTyLDMAghu40ep6qqTIL8fz2lrlucZRW5R15Be8w0c8E7sQVvdR18lt8jXpglFYEtN/FIzxV6xFMjALm1fvQjV1JBbLzsAXX5Zxl2RzG+4K9lAJmCcBM2zRABrarqfXOXZKheUab+6fEzev+IRwiJp95Enr0ckx2ybukonZVWfQaATed/v/ylZ3pu+XXxhdCeursv/14jzpmUfBlFURiG7Fd70s+kJ6Io9lb6JEkSIAKAJZ3it0oAAIygxhFGZRYEFUUZzkZdnOEGQsg0zYVRjALKo36xKenEZ5enpumiqqkIBX6fc0WprQGlgDb/CQAI1Uv59TVtKvFn5QpjK8pH9EMFh8PZDmzbXrhw4bJlyzo7OzMUu/7667O8PxQUFPQVRtr7QXT06NEIoXg87nmepmk9C69duxYACgsLs9kph8PhcDgczlDABWgOJz1d3d2LahvaBUP37cD2ahISAMpGdGZggG+NwwDgeQPWBzHGsiwnw+gIIWEYSpLEtqTNIKHrOlu+N9B9DU8kSVIxlP3xpzjY/njx2MrPvNFTGi6fa9s26cN/mRDSdPFdYkt90d/uS9kXisKKLcHRffHurCuchU2Zy9z1f0ueeeQINtetaVoQBElXClEU//mfxsVLOvqqO3VyzqO/P62vx1RV170LHwnfuCvWXpO5D30RSPqye/7Z59tR1Hj2d5Ovllx/b9tf1idfYoyYo/mCBW1HHjTJ2yIUC4LAZsJZWuR0rUaSJKW85ft+jgyOA+6WzblQ344rMwjQoihijHebdD2cnQClNB6P72PSxSSnE+ROIgPoU01JRyQMQwurtUTHIp0px33PDTK63LB2FpLUmEQAcLE8Pw7zVzaPCrv2GT8qNrwXsHM4nEGhpqbm17/+9XPPPdc7m19vrr322iwF6LKysry8vKampo6Ojvz8/J5vNTc3A8CECVvNf0zTHDVqVENDQ1NT07hx45LbOzo6vvjiCwCYOnVqdkfD4XA4HA6HM/jw8BwOZxuiKFpTu/6jRUvfXbL+65Zo6cbEgha6PCGzGDcEcNIojCG9V6+EAABiEpwzFp89dnNMiiiKGTLSpKCqqmmauq6zQGbmbUcppQAb4iHrXkprmqbpum7b9u6Rb1oQhJimjnrrwYonrtsR9RkA2k66rPW0q9MaQSRJJBJhGIptDX7JWGufY5PbvbIJNRf/LnP7nXsfdtK3TxDFflbBEEI9z3/zHw0sMT1bAWcYhq7ri5bEX/jr2r4qjh9rPHL/qZmfURVNM867o/3cB5onHOMrabSwtLh6UfPkE1rOvi9+xm9oa1v/FQCin9/69Bb1uahQff7ZY6ftvfVJuMzYWpKNw3g87vt+2jHp+35vWdn3/dMnqWdNktnpbI1G1/rTVVWVZTllnZEsy5qmqaqqadpIX4LE2SVYljULJ/3c0QpifhXlrEU5+ShQI48AWhoZvW00mL1d8uKVJMm27TGQLgXnFjaKuX+vt95cUruufuNIz1jN4XAy0NTUNHny5Keffpqpz6g/sm85FosdcsghhJAbbriBeWswamtrP/nkE1VVq6qqkoVVVZ0yZUoQBHfccYfv+6xkGIZ33XVXGIZVVVXMo4PD4XA4HA5nl8AjoDmczbS3dyxbW1cdF9sC5umcxjNIxLA+QQls8/AwOQazC3EURYIgfNxEDi3F8XhclmVFUTzPYw8MmXed9BuKoiiRSCSVDrbu0ia4zqLtLhllUlaGOUYFQSBJEivDNOhBOhO7DFVV85Z+mPvfvw5Ka8hN+L6fIYyRLVAl7U25n/6t7bSri169l23vPOxce+aRRR/30w104oUAIIk4DDPZRFAKl1z1CQC8/nbdzdfPmjI5F2Ns2/Z/Pmp54a/r+qpVVCj/4eEzsjSuyissghMuAbgkJMRz7M6ln5jrP8ttXZEs4Kt5rl4UL5uhTTlILyiWZaVoc9+odPPPou6E1NoUra4JF34NTBrGSDr1ZDqlamG7+dV6aGpym5/cupr4qCPLEULLlm8N3M6VKGy5KD7ciE6cDLFYLOkDmAIhRJKk3p+LZVkaQhdOMxba3zQNXRBCx3FUVVUUJQxDtggAIRRFEfG740TdCLklyC81MWyxt+NwssSyrFkmWky22qFaIC4kueyuHyChGWlFKmEGL8klKVRUJEyXRoYHgipFZbJXhMMcGl9OzAj6VJQSgjrfggXLG8cK7gGTx3FfDg5n9+O2224DgJycnJtvvvnwww8fPXo0m3Luq/yAXCkvvPDC+vr6r7766tprr62qqsIYd3V1ff755wBw7rnnjhkzJlkSIXTJJZc0NjYuW7bsmmuu2WuvvQCgrq5u5cqVlZWVrJMcDofD4XA4uwouQHM4QCn9ZPHyec2IQj8pXAMCSztT1WSMkE/gq3ZclyCnjUYNNqGCWS7RtF4ZSRBCuq4jhJocKFMRABBCMMamab5ZT2IiPrJceKue2BEAgCHCUWXimxuITxChICLxrLFYEAT2eMMS3LF0H8z+b0fOxq7CMIzS538pdfbjaJGBxovupEZuxcNXAEDjxb+NVMPP6EkSBIHRUlv25oMAUPLCr9jGhsvner6vAMRWfJp5d7SzFUrL8/MkZ1NWicsA4IHHlhYVar+8eb9f/GZJ46Y+JwwkCb38p3MFYcBCFcZYM0xtzvEw5/hoy7QHQkgEMAFSjAAopf/vB68sX+kAYIBygHIoOQxjEAXsBwQ+B/g8BEjjYvnyX9fV1lpRtPVCoD3Ut9VtwYmTNdiS8qgnLGGgrut9ecWw1IWqIrd2dk/RltSGM5iyrOt6Hqxbs6mkboOz/77lq2pJ8TiJAioTwygirutijDPEuXM4pmkCQBiGhBA2KWhb8dkmbIykZqT1Lt9IVSJAgRiyKqIoNhA1H7zFkVlJ7VpkuiDUUr02AgxZxTYThNcRvW5F48nj8nVdH+zj43A4u5KPPvpIluXXX3/9yCOPHPTGJUm68cYb77nnnrVr186bNy+KIk3TysvLzz333KOPPjqlsGmaN99887333rt27dp///vfABCLxaqqqm688UaT2wFxOBwOh8PZpXABmrNHE0VR9cqatzbQHbGjWdlNV3ZvliC6fCjXUCKRSCS2ESV6CmSqqmJRTNjuK3Vwzlgo1SAitM6KFrRjAApAAcCJ0Ku1UbhF10uE8NaGrfpaSOGlWnLuOByPx2OxmCRJSaeCkWjEgRAydb380avQ9q5Spwit/s4dk/58Gwr9TcdcFE2Zk0gkaH+O2Jqmlb75YPJlpGhN/+9elkNPURTB6yeiHBk5AHDlD/b+3zu+yrKfcSuMW/Hv/mBehjKqgv/xt/N3PEyy30W+99z77vKV3SkbCQF/WyVXklAQUISAUnju6WNEEX/7u+8u+LIlWUBRhOoeNh7FadS8rV3qbamRUkBV1Xg8/voG6eTyyYfmvPtJ64F/f7f9o49bHp17WEWFkJdnu649tlIRUVgAnZSKu0HgP2ewEARB1XQPEKJAAFREMYKIAruxIqBLUX6eGCIJRoMrYIjH46WqWoE9jDGlqYbOTVQtVAOwugHAsqwclFANg1LkYilGgziILOqf9B373JsICW/Wdh1b5hq6njlAksPhjCDWrFlTWlp64IEHDlH7qqrecsstnZ2dHR0dYRjqul5YWMhWzvUmFov94he/aGtr6+zspJTm5uYWFhYOKOaaw+FwOBwOZyjgAjRnT4SlR+uOx19Y1NAeDMKPchnD9DyYlIMBIB7QmGlSSpPiQhRFTCZDCEmSJIjiK+vpN3IIALy8Pim5pgqOYUZdAyOglLJ4FiZWOo4jy3I22W+GG6ZpyrXVrSdcWvyPx7evhfbpR1b95eedk+ckjrvIdd2wP0MG5qNNKaWSigI3yCtt+Z9fhGHoxOMA0FfG+RS0vAIAqJpcvn19TktujvTKs2fvhEX6y5evee2N+mxKBgHVNMF1o+JiVRDQb+75MqXAtGl5PV822fDhOuewcWrKpEu7h19dGL9wHzPtEMUYI4Q0TUvY9l/WiQDw+kbzicdGL1229O67Drz4wumEENu2kw2GYYgQSmvxwdljiaIIgC4nsc2GML3nsxC0gwyUJkAYSx3VzPEANxDFjoS0OvIyEqsykejZLGjasqzpWhRHarngIYCvopzeVfqFIvRuk3d4flCQlwsAkiRxYYjDGemIoiiKIvNPGyIQQvn5+Sl5CDMULioqKioqGrr+cDgcDofD4QwULkBz9iwIIWxJ9YraDW/VBWmNnreDiMI6i1KgC9vpAYXQ4tJcCeVJke/7TG5TFEWUJEpBwMgNKQDM7+47UjQLylVKCO2pXGiaNhKdcA3DCILAr5gy6tV7tqM6ESQcBYXV7wNA3urPE8ddlI0Ez1xKTNPc9IP7KKVBEOAwZMHjgiBomkZ7ZclLwaqclmfGAKCkuHBqVc6KVamhxNvB8UeV33j90aK4M9Soa2/4b+YCRx1RWlxinnX6hEt/NO+JR44MgoAQYtvhosXtKSV1TUg5WQs3BQeMViRJ8jwPADRN+3Rj+FWDU5grzqv3Dy5Nv0dN055d5jgRAoC9c8myLswC4sdUxpg7jabpCG21ew6CwDCMvtw8OHsmvudpEnH6ubEjF4SVJKvV6KuIWSaLuVEHm/xwHCemQTNoch+paLMDfdhBv+G3lJcUB0EQBIEoiklLJQ6HM+KYMmVKS0uL7/tDqkFzOBwOh8PhjGh4MhzOngIhhHklE0I+WrrurboQBrJ0OjMRhQ4fLWynIoJ8BY3RiEYc5uSAVTMWi0myjBFa2U2/aCVvbNgR5QIAwBThwKJtktiwIOt+sx0OQxKJRBAEeSs/ldo2bkd1HAWNB59DsQAA3WNnRv0Jx4xYLMay5FmWZVmW53lJ6xJJksIwxH4/TibB+BnJvx+9//TvnD12Ozrfk/t+fdAtPztu56jPlNLu7j5zM44fZwLA+x80nXX6hGXL226/9QDXdT3PiyLhih9/JMup3xof/7d5emHqwHv8C+u/GyLDMERFe22Fu7jRL6pv/Mfdn+QJftoAc6buuREAwIwi4bCxBgBc8P2q884Z+78//yyRCG7/1ee/u+8r1w1N04zFYmzpMTPn3ZFTwdnNCIJgMu0qRu4gtlmIAsMwki8dxzGdzjwUTMHWZJwogO0Mw5+fkGo3bL7phWHIvp5G4j2cw+EcccQR7e3tK1as6L8oh8PhcDgczp4KF6A5uz+EENd1k8/2zS2t89v6rTQwEMCcInRGJTp9NDVxJAhCM1EFSUYIGRJiBd6oJ0s6Ye1gxCifNBon1ecoiljqtiy112GICWHehy9uX92GKx4urH6//thLACBn/ddZLmaPx+PxeDytZO+6riiKgZTeWjFJ/ocvOL+6KGHFAQBj9KNLj/jHq+fc8pOZpcUDjn667PuT/vm3c/ffb/JAK243mza1AoAkpb//r6u1AOD5Z491nHDqlIKyUi0IAlmWRZE88uBBj809+KnHj0ypsnFBmsmDr5uCB+dbL1bbo0li+V8WtTR5f/rD0e+9VLNwk5s2FVIUReNzsIBgTglutCIAmHv/0hdfXv8/365SVXzrzQcoqnDzrZ/bth2Px33fj8VioijuBLsSzsjCcZzRyBvEBuuIRintOdLY3BWxurDdXeK1z8Dbmfd1UaAvXVfXs1nP89i6AQ6HM4K48cYbVVW9/PLLW1tb+TQSh8PhcDgcTlp47BhndyaKoiDYGunZ2dn1/NK2RITTxj6XKuTwMvHl9aT3WxnQBThpNCJRFIahhJWNCfRpK5qeB3vlYWYD/fYGYg2eLfMx5ahQ2abzGGPXdUeo+myaJkKIUFp/2YOUUr1hVdGbD2VfnQhyxdzL15z5s1Hz/gQAjZfcMygmJEEQGAvf67eYFG8jv/ke/eUrbOG8rmvHH7vP8cfus7h65VU3zM9mR7/++T6HHDR950uoZWVFABAEmYY6pfDj6z9+/OEjo4gAQFIUkyTpwYeqUwq//c7G468dHd82EnRKASz/55p/fN5at1feQ78/jE2TWFb49D1fRj/9xsx8sbdZynHj1Me+dkRRfK/OBYCGRhsA9t47n32sV18xq6srQCgEAEII81ExDIM7QXOGlDiIC0nuDCUKfD/lTssi9yOre7ZJuqm4hhp9tNEXaDXkJGrq5kwak9xEKXVdFwBkWebzKxzOiCAvL+9f//rXaaedNmfOnAsvvPC8886rrKzM4KvDc5ByOBwOh8PZA+ECNGc3hFIahmFPpaCzq/vlJS1dkdBX1P+54/ArtZCl+pwjwSEl2BQpACCEKKXNHvpvi4yAHleBvjUW4j59rY76BNKlwUqDhKiMaSJC/bqCFMjbvKSUOo4zQtVnAEjRi538Su/yuaMeviKbupvOu5kUjQrWLBn31v1C4LWcdrW1w6dBFEVN0wghoSj3XxoAB14UhqIk9dw4a8aUD96pWrqs5i8v11Qv6+yOB0A3f7CaKhQWKNddMW3G9ImynNUuhgKE0NtvfOujj5YDgBmT/u+B5QDgeVE8vlUR/p+L3nv2j8cAAHuEZiFdGOP2jmjR4jQrCKar3qe+AgAYwQGF0fOPLvm0abMNwq03HwAATFM75KCyF1+qWfPxurITJxWLtOfQxRiHhALAY187AFBlRu8TAIBkNJllWYIAKYPdcRzTNEei+zln6LAsa4aJq0lsENusRgXT1Djy7LQu85ZlYYBZui8IwupIi4OYvcVTg5Dz31V1B0+uTBGk2MwKz1LI4Qx/brnllrvvvpv9ffvtt99+++2ZyzPn96HvF4fD4XA4HM4wgv/64exW9Jaefd9/++u6GlvMnG/wpdpM0jMCKNcgHsIRpUhBJAxDRVLcEDZ0uRGliy2VaQ2mBO82UpJRc1YxkRFIGBSBziiUi2NqSVEhxjiRsB/5sjnz0Z1ZCSkKhWVZsViMhYLuHvi+T/tTbihA4xUPs7+leFvr7BOF8vHxojEk6NPXOEuYtGTb9ug1X2ZZJYqiFAEaABBC06dNvnPaznPVGBBffLn66ms/TNk4eVKsvAyOPLzss89bv67uoBS+/4P3H3nocEOXdF1PJBJMnX/k8UVp27zvrkWX3DLHsO25v1/632iba4BSmhSIjztm9B+eXrFyRfd53xK8LT69mqZhjN0IPm7YGsusRwEAKArGGJumGYYhQghjjBAihCCEWOA/M9iRZZklFx2kM8QZ8fi2VamJ9bSPXK+UABpwcPFSGsuRtYlqoq8JD9u2JUmarAIAfBXFstegW6ScD2o2FgmosihH11Spxy2FZSnkMjSHw+FwOBwOh8MZ0XABmrOb0Ft6ppTW1De+UevT7R3nMoZpeWhSDIVhkFQEvADmd4jNLtO6lJMqkKrC/FYKAPFM+ietMqJDJhQW5uf3fi8Mwz8v3pTZk31vw8MgM+mNydBBEJimmcyet3sQBMHGHz0UW/JB7kcv91Vm/aX3i4QE8c5xz91izT6u+6AzuhIJusPqMyOKIsMw/LxSvbk2q/JhANCPYfSw4l/vfn3bLxf03r66Jg4Aq1Zvnsz47nfGT5xYqGsiADAfAOYMcPUVe3/yacujTyzr3cIzv1lw9pljDj+05P0Pmnpub211VRVgi+PKn585WhAE3/d1XY/H47FY7PkVrhsSnzC1js7MiZbOqxv7rUkXXDDx2WfX/O31dcceXdR7d7IsK4rC+pZIJCRJUhSF3QdYtDVnT4YQkoeCPgXoLNRnhQQeTp1b6gZxIcmdaIpa4KQ1aw6CACEUyH3st286RRP7Xf9Y1AYAEqLlSlRmilVFRo5p6LrOZGhBEKRe010cDmeXc8opp5SVlWVfnrvrcDgcDofD2QPhAjRnxNPQ2ESB5piG7/ttnV2tdriqI4iHKB4iknUAWk9iIhxQhAqVreHGkiR9tCnsDnEihJSgtrcb+jHZyBGjI0ZrEytK+lpuSQj5w+d13WGmp5FCBaYXa1EUJR9aKKWSJHmel3Y9+MiFUppIJOi0w/2yiRRj7LtS45rcz15PFvDN/JyPXy5Y/t/ub5zaePnchG2TQbVfYIYP3bOPz1uVlY9zZ91afe9Zg9iBIaW+flNa9bknJcXqqSeP22+/4tU1na+8uub4YytjMRkAoihiEzyHHlL65B+Wh1HqyL/yR1Mff2rVd84bP2lijFJYX5+oHKX/+YXaO3/71ShDrHIAACAASURBVH33HGxZFkLItm1V1RzHYVYnpmlSCieORn94cqXnkzMvqPrDA1+/X28DgKELU86ec8vR0wtamw1D750x0vd9Qogsy7Zts5dJM2hFUUZoJjdVVUVRZOfZ7+U4zBkQwpYBk4PCbjrgXzsY6KG5ZGG7nxBSZ5jWEEMR1L1NK60Dku/7KAhmG1E7ldZTvedbk5AlIlhLdD/ddGO7nHtgccdnLSigqM4V61z4vDUBkMBAcyVqCjRXwQUqLtDEyWNHK8qA851yOJwh4rDDDjvssMN2dS84HA6Hw+FwhjVcgOaMYDo7O/+ysKE9YE/ynT3eGfBS5TEGzC5AMt5qcbG6w1vcJZ49VgCgTgSN7sDCVTDQg/P92VXjFaUfq9/PltZ0h5nKjFaC/UpkAOi5BDuKot0s9rknnufZWj4AgJKrFI3Rl38qdTUDAAVoOfUqHMuvO/w813XpEDj/bnZmzCtef8nvyt5+VGmsyVzetUaM/wml9MKL38lcBmP4/X2HskD7vacac/Yv/fs7dScePyopjDqO47ruIQeXf/BRQ0rdhkbbtqOn/lhz1hmVr75Wn9yOECCEdF0HAF3XKaWqqgLAg3OrZ+5XMGFizl9fWHfQN8o++azx9hs+A4CZMwrPOG3c/z3w9Ywz/amiK5ablFJRFCVJYoYbyZZVVU0kEr2PQpblESdAi6LIIriZvQNCSFXVZD46znZAKclDgRY65TIAgEfR0oG4QjtY/m8nObxI9cNofjcQtM3XigfCQpKTq+gTsJ1IJFJmR9jnKAPsY/gOElcSk22voYZKyd7YQgg2EqUY+TXE8HqI0a1q/mGFzR+1bfONQAB1BKgjgHoXoIsCBFC7dk4BOXbfvXgcJYfD4XA4HA6HwxkRcAGaMyJxXffZT2uaAjGzbUU2TDBhv0JEACyfyjJ81eTVOOzhXwLINi1hEhHTY4vCqZPGZ5lexg+CTzr6Up+pAHCw1tkN8vuNwuFKi67IkFPoOM5uFvXcm2RQoaZpeV/9U4i3MWPohsvnWpYFrp+5+o4QhiHz1JYkqfXMawv/cofa2ZShvGoYQ9eZwWXjxhbP73M8CwISBDR1Sh7zeGF+ypRSRcG/umvh2nXdzzx1NJvzoJReesmU008bd90Nn/Rs4fU3N4vOn37WOntW/sLFHexlQ6PtOJ4kCZ7niZK8pqZzdKW5anXrVVfMQAh9Nr8pP096YO4SALj6ihkHHVjKFNjHHz7ik0/XigdXEEIIIRjjMAxTMjcGQZAi/DEsy9J1nUVGD2cQQkx3JoTY9jbZ7Vh+UfZuX2K6qqpcns6AbdvFYBuGQSkCgA4qV/gdDXJebuR2CyoA0C3LWUQgCGjQa+aSIvxBB0yl8VPHj129dt1ylE+3ceFHXSAtJLkVulKKfCvdXBRCSAMyCjkbN5uBIBeERSQHAGIQLqWxUcgtQf4SYgZbvssa9ZJvhE3zuzIHOKPP24XP31t1VKF30OwZXIbmcDgcDofD4XA4wxwuQHNGGAnbfuurNattaTtGr4yoiNGkHBRSOj0PU0rrO+zPurW1VlLDogD9BCyng+ZL9NBSPGls5YDyRFFKH5u/IenpgYHGcFiMvenuOnPTmoIlHzR/9zZiFpYDzKytDsVYlFNOCEmruO2uFP3nT/rqLwAgklU/p3iod8e0V8MwgGmvC/6hdPWTGbJ06oyh7tVgUb1kfYZ3//zMsUzoZOptEASxWCwe95/644oXnjvusis/uO/+xdddM4upw47j5Obgb58z6YWXt0aIJ5cPNG5yGjc5P/vJtN/+bikATBhv3nX3ott+foDjOL7vV1Xlf/lV8+x9ShOJhKIoBx1YZjvB009OkWXseV4yvZtlWTNnpCbY9H3fMAzHcTDGLEA4rTjLtg/P/JyapkVRJMsypTQIAt/3g77ty8MwlCSJDUiMMRPc2SHHYjHmQJI0HuGkJRkjX6AEsiaXQjyOhYkoHoahIAhNVNlEFQCYim0R0aWR2dscYwXKW722/dDCwsm5Octr61fT2LYyNDRQtYGqEw0hBkFKSL5t20jP2ZjOijoOIgBspOpGmmrx0ZZTulfUstzq3+75/Tbl/fdWHV1KvzG9imcp5HCGFWwel88PcTgcDofD4TC4AM0ZMdiO84+Fa5ZZIotNzh5NgLEmuBFMNHGhikJC5zXBsk4WCjrgVFE9oKOU6JDRxqiyku178v906dpSIRgfbqpoXRmrW6o3rd3aNKCGyx9CCAHQ4j/f3n7C/wsKKmgUCYKQtIjd7YkZBlOfAQCFQcfZ1w9pTCtLkccioDHGhmF4B5xYN/OIsU/9pK8qzQedXSGMmLvouto0bhVJKKVJl2cmovm+//PbPr/s0snf/u67ALDgy5aekx+GYZx26rieAvT++xV8/N8W9ndpifbm3xtuuWm/aXvnI4RsJwjDkCnC8Xi8arLGdsFMzI85qjKRSCQSWa02SCQShmG4rmtlNGCJosi2bcMwCCHDyqxGEARCSObO9ySl84ZhYIxFUWTauiAIpmn29L/eXcFbCMOQyToDxfM83/dlWTZFkcLmc2iANU1VBUmqjTQLhJmC5VK8khjRtl7/ERY+6KAFrQ37jyqukqSFdU0bQYdtZeg11ACgkwxJJ17yUyOEoETXbCNcT7V2OoDZzSC/eELUstbJ6svuP01oXtOqE8bI+06ZgND2ZD7gcDg7DqV00aJFf//73z/++OPFixdv2rQJAIqLi2fNmnXooYeecsop++23367uI4fD4XA4HM4uY8RIJ5w9mSAI/v7l6iXdeKAjdp8CqMrBlAJCUN1BPm+l8XDHw4dplREeMCa/tLBguwNbKKUtf3tizvw35vRRoPHSexFC5hfv5Mx/M1L0qGg03pIFbsSZ224fpmlKLXXWzCPNr+c1XHSXvuJT299O4SkbVFUNgiB5bgkhTOCLxTKZxuYdd84Q9WdIyBg7H4YRs3RITm/4vk8BNjY4Tz95lKqKURT11Lbi8Tizck5y0gmjmAD9218fOGaMGQQBqxKPxyVJ8rwg7dCNomigkiIhJJs5GIxxFEVZmuHsNCzLMk1TFMXeaRWzgdVK3nmiKLIsi8nQnudlCKYe0bCjI4Qwi3Y2r0Ap9X1/QH5ELH48ZRy6rguuW4oTE9jSBzext+g5olpDUt112gXjX5vcvYSOAyaMmu66X9a3tIop9wdUQw2M9CpTlkKPGaQwP+hRajhOkpZGhpd1igJcWDSmta3O3WYAiwjSfokRQO/UBe/Vrzh9ojZ1wrgsd8HhcAaLMAxvvPHGe++9N2V7S0vLe++999577912220//OEPH3zwQUkaWBQFh8PhcDgczu7B8Hoy53BSIIT8Z9HK+a1As/N63isXWZ5/UJnieZ6iKJ80k+oOEg2GZUWpHFXlwLSxZbqm7eCCSkpp52O3FKxb3FcBr3wiyKq68vOc+W8CQPM3L2PbCSF7yCJrRVG05Z/ZU78hb1oHAOqCtxNHfjsagpSDSdJ66eq6Xv7IVX1V6Zp8QKFhDl2XBp3nnl+b4d1n/7L64gun9tyCMQ4D8p95jf/znb2YSXFKFUmSnv3jkaIo3v/A1/MXNP/jX5vTEo4ZYybTsrH/MwujoigihLJXYx3H0TSt37hmJtRmH2u802BHqijKdjg4s7opej2ToZlZR9qsjCOdKIqSQygIguTfGGPTNAclIysLS1dVVdW0MAiQ1TnbjHpaM28BLY/02jVNR1XmHzq50krYnzd2dQvbrKQhgFYQU8T6dNMKA9/zPISQJEn1RM1efQYAQEgpKihs6mgLttY6aywGgOoOkkOd+d0qbBupHVD0So2rrl12+gR9MpehOZydBSHkyiuvfPLJJ9nLI4444qCDDiosLEQItbW1ffHFF++++y4APPHEE4lE4plnnuG+HBwOh8PhcPZAuADNGaZQSj9dWP1+q0QhzYLiU0YjEcNrdfSoMtTk0GVdcEx+YqVnrLeoHUn1tQRAAtj+aFkR0UPz/byYUVaYr2kqxniw1jVTShP3XB5rq89Qpu2Ma9W1iwreexoACBboqElsuyRJw9DTdiiQJCn/oxfy338WAfhmftesY6Od7qKg6zrGGJE+I23RaT/cmf3ZQdasrcvw7tgx5vcv2su27WRkMUJIUdS4Ffg+ueDif//pD0f3rpUcjSd9c8z8Bc3HH1fx4cfNuTmy7/tMJ83yGTsej5ummb1SnGXhMAwVRQEAXdeZu/cwEaOZN8ig5w9kyqxpblX/dxscx1EURZKklE8waWYyKAHgLPEja800TcuK76WF3VitpXpqf7Dy9obE3rS+auLEoyZq7R2dH3VCiiNHCHgRyREEMtOMO44Tj8cLBbtc078mOQPoEsJFpXmJhi6XbL6UXqrd/L1WomrnjsPJl8flJ97t2Byy7RL8Yo0rrln+namxsZWjB34mOBzOwHjjjTcee+wxjPHpp5/+6KOPlpWVpRTo7Oy8/PLLX3zxxeeee+7EE088//zzuVsOh8PhcDicPQ0uQHOGHYSQL6pXvNuEEMhHlKF6i5brKE8CTQQrIIYkeBFFCCICCOD9TZt1ln93pC6XHigioqNUsn+pPK5y9NA9GDS8/XxpRvUZAICSgnceZ3+u+9b/agBhGLIwuiHq1XAjCIJIzxG62xqueJiSSCDU37kCtCiKuEdWvbQIL9xDr/rdSPlQWls6+3pLUfBv7zzI9/0oijDGsiy3dwTLl3c+9uSnRxxW+sNLZwRBkEG6jcViT9/9WU6O9Is7FgPAo3MPZ4URQqIoZumQMCAjBdu2WZpESZLY+Xcch1Kaoroy9ZlJvUxYH5DMPXQMhfqcxLIsTdOgl3n0UMBs03vOWwwdzMG5r0/QsixRFGOxmGVZOy6+W5aFEIrFYo7jKMSbrQdfk1iUEgqN0DJUuHZN8+EVscKC/KOl+H9a05yECPBCklugaGOxa1lxx4rPNulCkgPpJlbTEiFhYnlsVYMV0G2qNLtbxWgAeLfHN+AZlcgPQlVEf1ttneSsys3LKy0pyf7wORzOQHnppZcA4NZbb73ppptkOY3be15e3p/+9Kc5c+Zce+21L7744vnnn7/T+8jhcDgcDoezi+ECNGcYQSldU9/w6sruA3NdDNoplciOYGYBbnHpZ6201QMAtCNxzT1RMZEQyBiKVZhaIJUU5OVkdPsdFDasqC778C/9Fqt49Gr2h1u5l1ZcTilFCA2d/fEwhBBCkdB15PmUUsf1dk7SRYSQIAgYY0WWgUQgCBVzL89Q3ti4MtHdbebm7oS+7TitbX1ah3seqd9gVY42JUlaXxf/+W0fBgEBgKsun/LEH1Yfd2y3KOKxY2JM9k0R+GKx2EMPV69bFz/qiLJZM/MO/EYlAMiyzLx6szd3jqJIkqQsI1iZFw1LM8i2IIRYhGzSoSIMQ1mWU1YMJHuVzV6yxzRNtlOMcRAEzJs4Q3nLsnRdV1XVcZyhGNuO4zBvip2gtsfjcUEQNE1jy0Q8z4uiaIhuVr3nGHrC0odqmsY08R3fl+d53UpOMQocx54mRx6WV9JUyx0Xy//a5JWHLftPGFUWbtwkpo9ubge5nciTDEEnnmVZkw1xNe1/xtSI3ACJPhI8LO1dpi5pdKPsZOvX6imAAAAIKAB0dXYuq2/Zv2psLDaSLIM4nBHE119/XVxcfOmll6ZVnxmiKF5wwQUPPPDA8uXL9xxHNQ6Hw+FwOJwkXIDmDBda29pfrW5UEFEx/rBTB4DX65nWMAhryTFQGdNShY7LlccW6IX5eTv/pz8hpPi52wdUpf2bP2ShnTtHgR0mGIZBKW357m2WZSlhuBOOHWOs67pe/YFa81XnN39gu0TTtNKnb+q3YpjohhEiQFeUp9oI9OSGGz9N2VJSoj748EoAuPnWz7997sSxY2K6rvf2drBt+8rLZ0yflls1Ob+sbHNquCiKNE0TBGFAOqCiKNlbKKTkkaOUuq7LwoqZ2wYhpHdwuud5hmFomsbCabPvWwYMw+iZvpJ1wDRNFlHORq8oismMiKwkOzOiKCqKMhRpRZk3hWEYvu+rqsry4LG3MMaDJRAHQcBmApLR1szsWJblIdK+2SxIhnHFemIYBls1siP78n2/ANt1OCao6ijk0ET3Pnq4EbQWqqSUbBRz3lzfva8hJ2wnvq0fdE9qqCEgbYopqyiCLO5q+cTdv2oc64mVgOkx1BgPPmsKbJKteywFxKKkxxnCp59umJZDTt6/aril5eRwdgNqamoqKip6O2+kUFBQkJeXV11dvZu5JHE4HA6Hw+FkA38O4ex6fN9/ef7qdY4AwP4NDpP1cFqZOaooT1WU4eCT0LRuTXGQ1br71gNO8eecRCkNw1DTNBZG2jucc3eFZVEzTZOpikO9O13Xoyga9fAVANBw2QNx2zFNlVIqJLr6rYulPmOdhhszZ04F+CzLwpd8b+JTT69hf1eU6yd/szIej6uqKssyixNnFxSltGZNV2tL+6GHVHiexzL+sedq27ZjWS8pYFMOlFLTNJmRcb8KKXNjSCsiJ+Nk0+qPbHQxZTbL7mVAVVXf91N0c6b2yrKs6zrrqiiKtm2zrIOGYRBCgiBQVTWKoiG9NSUSCaY2JhIJwzAAgAUpq6qKEMoyXaFhGEw9932fENLzo2G5XmVZTgrQLPo7g1fGDpI5CDpJIpFgMeC2be+I2u66boVC46KxiORON7FrJwrBrdD05cTwU76qEPrKUzXwBRpFqM9vMRkoBaAA41Citr8g6A1S3j5hKIqiLMsFsgwA5WUwexLt7I5/uqZpmSVlfyC1CQCA6m685D81J1VKs/eamH1dDofTL4IgZHN3YmV4BkIOh8PhcDh7JlyA5uxiPly4/MMWGCzduVQO98qBvcZVaKo63H7iq+89m2VJf7/jmYYlSZIkSaIouq67h6jPSXZcvVIUJSmVMpiZSRAEzPABY4wxLnn2VineRrHQ+MPfW7YdM42yR3+MSVYuDUZ+4Q52cqchCIJpipbVz3GVlarjx5lJ9fn88yaddup4SqlhGD+96bOmZscwRCseIIyCgEydknPayaOffHr1vvsWE0KYAQLGmCmb/aYWlGVZlmVKaU8lFGPMXBRStqfAwpwHdgp6kEgkYrFYUgtwXXeg+euY/C0IQl9zJL7vs6kjpvkCACvJDkpV1Z3jRs2MKZL7ZbCDNU3Tdd3MhiQ9y7BznvKZMm/63h+0ZVnMFIUp1+qWGzKTg23bzkZH1nXddd0UBdlxnGx6zmLAew7I7cPzPMX39zGCRVGsVJFKqW1b8SrFB0lZQlKnWByhnxkpB4TlxJyA7QIcro9o2hS7PalZu25q1eSeWxBC+bk5J+2bc0IUrW9sXtBg1bsDUKIpwN/rg/c2Lj9nsjFu7JjsK3I4nAxMmjSpsbGxqampoqIiQ7GOjo6urq7x48cPh6gIDofD4XA4nJ0MF6A5uwZK6co1615Z62efiyltMwhgjBZNz0NVE8YNZ0M9SqlRuzjb0oIYhSEABEGgKgoFUFWVELJHGXHsCJIk6V687ImfsZcNVzwMUVj84p1ixyYE4E6YpdQuRT0kZoqFhssesCyLBe1uuuTuiieuo1hAJKJ9D9DW/U8pG1GL2Z967ITz/ufvGQqIIppzQNEbb21gLzGGvfcueH/ehseeXA4AkoiecR8Iq/a9aNkhNKIAsHJVt3Sm+uSjRybFR8dxFEVh+qCqqpn74/u+LMsp4iAhhKmTkiQxb+W0Qq1hGDs4JdOzuqqqLGNhGIbZB90zcTmDIwRTTtMqrTshtL9fLMtiYcJ9ibmxWKznWWJ6PXP2YGJ0Znt6z/OSQegpijObe4CM80xM1BZFUdd1tq+k10cYhoqiZOPlzcqbptnbPSZ7KKUJKz7bpItITgtSZpmiZcXB82abpJnIG6FPz42+WEv0iSgBGW4uW1gn5E3t4y1BECaMLp8wGgCguaV1QX3HckvM8vvUI+i5lXbe2qXfP3CCrg24/xwOJ4VZs2ZVV1ffeeedDz30UIZi99577/r160877bThFiHB4XA4HA6HsxMYSeoJZ7fBSiSe/qy2MxqwXiwA1QRaqNDp+UKuqZcVF42UH/FRFGEyAPmYiemappHQx5ICW8SsYcUgmskOIqqqFs5/3Vz8H6YgA0DRK3c3nn5t7enX67pe8ehV6tptZgIi1Wy65G4rHldVNQxDURSJKDdc8TAAlD5xveA7fe3IOO68oT6WwaWysuzGG2b95p4+J0Ku+/Hed9+7NPmSELjlF58jBN84oPCow0tm3H0F3HhbtG7tn392zLwPGt/5V909dx1k23aKhshkR2bW0W+XWOK+lFHEhELmxWGaJgtVZiIvc0xGCA2ugJtsDSHELDKSnhJ9wRxydk4U89DBwoRVVWWmHJRSlhdRVVVJkvq6unsHFPd7H04Rf5lNBwAwYxD24SbLYIyTsxc9TzITo9m+BnTmk+HY7JBZcHr21ZONzNRJHZgLSU6VKQiuZVmWgdC+ZrA8MpwBLuJZQ43ZQvcyYngZK3pYWl27fvK4sZlbKykuOrm46GSAzs6urze0V3eCQ/q/+joD4b6P1s/J9Y7Zf/pwnr7lcIY/55xzzrPPPjt37ty2trZrrrlm5syZWo+pHdd1ly9fPnfu3KeeegoAzj33XB4BzeFwOBwOZw+EC9CcnUoYhu8tXPVFB87Sc0NEtEQm04uUIlMuys/LkF58mIMQikQZh1nZzrJMbrFYjAUbAgCldLgJBBhjRVGGjzGIKIqapqmrvgAg3Yee3XnwWVEUCYJQ+uKv5abaov++0nXIWYTS1jOuLX713mStMFbYfOEvmaDGVMhYLBZFkeu6iqL4+eVa09q0uwvMglhe/s45tEHktFP39wN63/1f937ru98Z31N91jThhOMqFAXP+7Bp/oK2+Qvajjji9vN9P+eMsxFCcw7I/cacmbZt9xWVn1QYTdNECEVRlDZM2LZtJn0ywVcUxSiKkkKkqqoscJUpkp7nOY4jCAKz7d4ODbFfmNLNIq8zw0bX7rEooaear6oqs0AZ0KW93RNR7NJjN3aMMfPMcRwn7WgJw3C7rUt6hmOzuHUAYCles2/Etu0KOcyTjVXEGKNgE8UppTbF47GtIrosMtyByNALo9iUqG2lWJS52OpIn5y5RA/y8nIPz8s9HCAMw7aOznbLW9bmelsGaXuA3F4JDD/vUr7496qzJptTx1dm33kOh9OTk08++Y477rj11ltfeOGFV199VVXVsWPH7rvvvhjjRYsWrVmzJnkLuv766887b4TNXnM4HA6Hw+EMClyA5uw8Vqyte21NIqRpYuVkREZrREIUKCAEeZpcmacV5hqm0U+appGCIAgt5/y06PlfZVO45KW7ms+9KR6Ps6Xumc1wB8pg5V5HCLF19EmL210FxthQZLmp1i+f2D1upu/7NL5ZolJVNTH98LwPXzSWfmQs/ahnLQrQ9P3fEi2WIrSxl7FYLHQdmlcEfQjQ9tjpI3Th+rfOOuDwQyf8+Lp319dtM6g+nd/C/jjumDJRxP98t+G1N+oBQNfEW27ab9re+VEUffFl6/5RJIpilrngYEukatJFoXcB13VFUWTpB0VRZH7BlFIWqcqqMF8OJlCy6Zm+XC92nCyPizlCDFEfdiGu6+q67nneEGURTEv2CSHZjMUOxr8nxw+7gw3IncP3fSWKJqh0LTVKZFxGEjT06oScOBEn44QMtLqXMXSfINQm5Zg0tDL+EvOxlLBtQ9ezbRYAAERRLC0uKi2GvcZvs9113c64tWhDZ52NurcsQiKAXlmdKFm/9LzZlbm5OQPaEYfDAQCM8U9/+lPDMH772982Nzf7vl9dXV1dXd2zTGFh4fXXX//jH/94pCzd43A4HA6HwxlcuADN2RlYlvXMgvUdgZB0qMwToolmVJFvjirMVRVFHFFeutuH8ukb/ZaJj52xauapZZWjiO8x5wEYjHR8QwFzg8UYJ4O1mT0C67OqqqIoDmnPk6G1YugTQWzPLaeJBAAghFhoqq7ranNt3ocvpq0e5hQTLZbWaYGtjRVVTa1Z2Nfe/cPOHqTj2AWUlBQ+/9y3u7utV/+28IWX13V3BzffOP0Pz6z50Q+qXn2t7t1/b+pZ+LGHD01+lDOmpz9j/cLGSV/vskhnAGAzGUEQCIIgCELPGGdZlhVFsW2bzcrIstxbtdQ0jcVQM4+O7RaIwzDsN7qZSbS2bQ9DF5odIXlQSduKYXX/YWdbFMVBiX9ncfosQWLPKQ2MMYuyTzvaoyhS/YQg6c1UaUPSDCE+Aewaaqwk/QfOp9BKZZGE0J8YVdPSOWvswATovlBVtUxVTywuAoAwDG3HrV6/aa2Fmnyh2RcenN8wp7Dh+P368p3mcDh9oijKddddd8kllzz88MNPPPGE4zhhGFJK2fKs733ve1dddVVBQcGu7iaHw+FwOBzOLmP3V/04u5wlS5d1Of4+MYoQHltekpubI2C8B/rfRQXlUJvG+gAAvLzSmmN+8L5XHFJ8TiViio8hyRjjQYx9HgqYHhSPxyVJYua8LJSVhSgOaRClZVmmaWKMu/0Q/M17MQwDY6zWfOVO2hcAerptAADZ4oJiTT+i7eCz3B6xz0whZSJp0roRRelFLgqoZMy4wT+knUtOjvm9iw676MJDPc/7zgWvNDV5jzy+qnexhx5Zds1VM9nswnaLrRnkQkmSXNdNkacJIbquS5IUhqEkSUwKZIozG1GqqrLPmm4BY8xEZ0ppEASSJGmath3DjwVrZ2OvwUbggPIWjgiSnzJbM65pGvP/6StX4U7GdV3TNJMWKGzyks2HbXeDLBkja4Gt6rAsi93N0jYbBEGl4tQSPQK8iOTmgz9ZsBsjuRH6SbzZmxAJJeA1g5KhzIZQnjXQdrNAFMWcmHnI9EmHbMkwSQixHXfJytWjSory80eexRCHs8vJzc296aabbrjhhkQiwZKvGoZhGMaeEGbB4XA4m1N90wAAIABJREFUHA6Hkxn+e4gzhFBKPc+bNHHCru7IsEBdvzRlSyRrK077yXtuKaUALgBAVS64rstcbimlw8dhuV+CIACAlD4zhW4oNGiMsWEYQRAghHp6OzC93hm1l+7Z5U/+JFm+5dybgvzSiseuYS+9UZMV3zY6Ngb55SDJFGFQtjpqMHcFAWME6YN2u6cdWjjMLLm3G4SQqqqO3aeyPP/z5u9c8B4APP3kkaoqWZY1UBcXFrNsmiZLOch2SghJfnAsoV9KFc/zmOLc2+BF1/UM7r1sYLCxMVCbZuY+kX0VNrYlSZIkaehcQXYmva/ZZBSwJEk705cjA0wdZgOATY3Alvj37RifsCUZoyzLrC5rkInasViqSw8jl3gINAoIADpAViJSQu0ywVtKTD+dE/SJFdq8+i5X6JXGAKEOKmIgBPUZCB1gccOm5tFlJQM9ruxhN1KMcU7MzImZAMAscfbAqWIOZ8cRRTE3Nzc3N3dXd4TD4XA4HA5nGMFtyDhDRRAEu9YaeLgRXXon+4MCxMdMf/9bv33wuHvedUqTakmRAjNzIQxDtvp7OAg9Ow7Lozi4joeGYbBTxF4y+S/5rizLmqYV/e3//OIxbEukmkK8vfyxa63Zx7XuczwAFP7zybKnbyp686GyP93ctWBhGFKIIgAo/ssdQAkLBix+/pdp904BlDN/NIiHMxy46MKqfst8/wfzrrn+Y9M0B5QPkyUPtCzLsizbtoMgCMPQ87xEIsFC5lmYWO+KGXyBMxt6JBIJXdcFQfB9n0Wzsu2SJClKpjhTVVUFQdA0PRbL2sYXALbc6/QeLr26riuKghAaKRKeaZqmaUqSJIqi53lpT1QQBEyeHg4JUZMDIPkt4zhOPB6XZTmbHJJp8X0/CIKUgZcMsk7Btu298NZb9CZQV6FcSunksH06juNt5670yMvLzT1j+pjDcqlMUqPIAyRMEfqZvfjSkXay53gURTuy6IHD4XA4HA6Hw+FwesIFaM7gQyndEQPW3RVJlomo1B3y7edOv/+pGZctdrbJr5grw9Hlm31I4/H47hFNybBtO7PwlyWKosRiMcMwmOOB4ziu6zqOI0kSi79m+L4vdLe1fPtm7MQBgIiy4Fo5H7/c8KMHuw8+s2jRv3q2maicRp5+RsDE/OLtsseukTo2KRtWYYwLPnlV6tgE6Wg45Soztrvl6TrrjNn9liEEWtvcRCLI/tIWBAEh1DO6mcU1K4rC4pSZoKlscYFn3ruZ9V9m/J15v7ZtMx8Vz/MMw2A9kSSJJZ3r3UlN00zTfPOt9XYQIbQ9ruvMEYIJuPn5+VOmTJk2bdqYMWOmTp1aUlIy/DXoIAhs2w7DkBAiCEKGuUMWKdz7NO5yJEnSdV2WZULIQKcQMsBuX2k/QeS7RWirWu2CUE1zZVmmvruPEN9H6IYtMrQtKE2tbQAwqqL8zL1HzdZ8RDcLuxIJAYBAPyOEAtrU1jEoRzQgfN9POvtzOBwOh8PhcDgcznbDLTg4g4zv+zxmKi2abjz4zd/5BEEvG1VdgBMq8O76nM/8eXekBV3XWZYwpouZpplIJNi5whinuDdgjJHrAUDThb9CCAGlha/f33LajwHAWPhuSstm/VLYZ9aoP/w0uaXwjQcy9MQunzz2sBN25FiGFZ2dXbm5OQghRVGu/NHUhx5Zkbl8GNLLrvzw7jsPLCgQM0QoJ2GB6hhjQggzB2fCZdIlHLa4WMRiMc/zBEFgeh9ze0h+ygCAMRYEgVKqqmo2AjGbkzAMg1UBEH5+24I7f/kNURSDIMAYMxXbMIx16+K//u1nth0df2z5JsEcT+3tuwxZsH9BQUFxcTHbUlRUBAAVFRXDf0qJKfXshPdrae04jmEY2QyAnQZbZrF9/hv9kkgk0nqP+L4/WnZa6VYtPgJU6+HRihJStI5o+wrxr6NYCAgA3m/xz4x5TMueMm7MpCj6fMXa9TgWYLGIOhtI/4L+iu5g1BCacPQJs9KSJGk4RL5zOMMBSunXX29O6TFr1iwAaGxsbG5uzr6FmTNnDv+JSQ6Hw+FwOJzBhQvQnEGDEDKsJInhxmtfrvVJmgd4BHDyaDSC7J63A5ZTbjs0OGaH3VNXMgyDJfZhL9m7Pavouu4qihzvEOzOoLBS2biy7YxrMQCl1J59XN4nf+tZ2MsrzZ+6F3y2LJvORJJqXHnPQA9h2PLcnz95+LHlGENxsfqtMyccdNDYZ56ricf7yTIXBGT+guZTTx6TzcXOPjjTNBFCjuOIokgI6SuvZrJBWZbZ5cCClz3PU1U1iiLXdQ3DSFoSZyaKIpbD0HEcRVH++Mzyteu6L7j43+VluqaJFRX6Jd+bwpq69Y4FUUQlCe9//pxOKiK8jat49jAX3aT6nIRJ5wNtbZjTlya7q2DWLkM3gcdmF3oPXTuRGK0rG6gKAJVuS83ydmNqfitIhiTmouCrKFaJ3HrK/OXR62vazt27glUUBOGgaZP39fx5q+pLZUIhWkYkyEhc0NiKgUE/umxgZ3hQ1rJwOCMdSum+++7Lgi3Ybef++++/++67s2+BeawPVf84HA6Hw+FwhiX81w9ncOg3aG4P558LV62x08e4fWssGj46zhDhOM5AF8WzkEZCSE9pvndCMBZDxBRDViWKIt/3HRC1wsogCKLRUwUACIOKJ69HUaq6uk6fNfWzv2bZpejGPyq7xROj63rHn/TnMKQAQAg0NblzH10299HNKvx3zhtXNSnnl3dVE5JeznvhpZozThufzY6SgiD71FJi1RlMUHMcj42QngkJk3ofc4tmSeGy1D2jKGIlZVmuWdP1/gcNABAEpK7euvGG2dP2zmXqcyKReO7pY6776Sc/uXaWFnU3CTk9w66zh3W+qirVStvzPHZvzCBqM4F+iKJ3s4ddpNnPhFFKt0+pH3RkWWZe20OadSBtuCKlNBcFTICuV4tF3Hb1ZR8BwIP/d+jV1378xyeOeuiRxd+5bJ9mJR8ACMLV1StmzJjao+fSgWOKGho3tUNWwu77zd6pu0iAhi3mWrIsD66nP4czEikqKuq52s8wDLbkhcPhcDgcDofTF7uDmMLZtbD1ubu6F8MXSum/FtZUW2nUZ0OAb47aHsPZkUj2QhXGWNM0jLHv+5RSZtrArF3TqmOxWAxbHXLTOr9sQqjnYIyZDO26rqZpkm/rC97JqZ7Xu2KkGOqUsdCQRecR7rr28SJz0IxldyGO45506vNMfU7L8y/WJv/+5gkVU6py/vpaXVOT6/ubH7ZFEUdRpChKNhe+KIr9fvQ/+99PNU3635/NVBSFiVyxWCxZCyFECMEYB0GQvQbNSmqa5jjOpIkF48Yates3y9m/f/Dr446tPO+cibadAADLsu67++AgCCRJyKNWYnsdhHqqz0EQNDY2FhcXr1y5knl9CIKQYl1tGAZCyPd9diyiKKqq6rpuWpl+6GCXGwCw3JtZfqywJdkjSwjJzKOjKGKNDHGXQRRFSZJc12X7Ys4tQ7c7TdOY+pxWoJdh64ARZ07Zb99NX37VdtW1Hz/0+8NEEV9/zez6DYnf3/7B2WeNGT8+56I7F59w/PI7fnFKMm9qU1NTUWFBVUGBu2J9C9Ig46r8CAl9pYjcabCVCn35YnM4ewIIoS+++KLnlquvvvriiy/OvoXdb1kMh8PhcDgcTr9wAZqzQ3DH535588uaVXaatdVlGhxSRBOJYe0MO1ikZKLrC0mSFEVxHCcpJyXFrJ6GDywyWhAEtoK17PHr2k6/OjF+lm3bouexXHAKAqXmy6J5f86wu7VTTp4076l+exUpunP13KKiVGuFkQil9Lob3vb8bK/Zd/7Z8M4/Nyv0V/5oykOPrASAfWcXRVGUpUwZhiHTN/sCIVS/IVFerlUv6Zo1s1CSBEppilMHQoiJgGw8uK5rmqbv+5mDXimljuOYpvmfeRtr1ycO2K+wqFh55x8Njhu98VZtS6vz/y6eqChKc4v3g8vfoxRmTM8784ajphoQBMEOugmxbIRdXV2aprGQ6t6JE1nUc/JlGIaWZQmCYJqm53k982oOKZIkIYRs296OO3mK7CsIAgtGdhxnSJPQYow9z2P7whgPtX8R211fdzDf91UxckEAAIrQsf+fvfOMj6Jq2/g9dadtekgICQkk9F5UVOyC2PVFFJRix4q9d8FeH0FQH2wgNqRb8KEIiCBKlRp6CIFUUnZ2Zqe/Hw6sy2Z3sxtayvl/yG939szsmdmZ2ex1rnPdY86131+6bv2h+x74HQCeeLRX507uTz8+d8dOz38mbASAX/934Lclk6d8dnn79q3R+ZycnEyS5EVd2paWla8sVVQyUh70wZLSnNZZx38nYwSnQmOaMwRBZGUddRkmJCQkJCScqv5gMBgMBoPBNAqwAI2pJ9j4XCeWZU1fs3e/L4T63CEOOrstRWkuuSWCIIRL/kWQJCkIgs/nq9PZyrIsMgBuqDBFU+m36I3iO9/1er22orhcroTNy2ilWlq/qM4u2bSLjJMIpw7RraLngNQb7nc1lSnn69bv3vBPZf3WnTAp/9GHOr/93paMlkJM+iyqQonqEAKAYRiBtw5N0wSePq138sSPN7Es9cG7Z7rdbq/Xi+zA/i0EyqNIqyVJUhTFyHchkiQfevSPg8UKAPy9pqJFCxdFEZblAMA//1QcqmyzcNHOXxcUosYbN1VdCuR6JyGRNnJYJSYV2HGcmpqauLg4/5KUlJRdu3ZZlhUupyKkRGtZll+GPjlzIzRN81cgPMZNWZaFdophGEEQTNPUNO1EjFDquo5qVJ6c7yCv1+tyuWiaDpk0ZZqmxFg+57AU6xDkdbd2WzdmKXr6xtvrrrqi9ZDBbTNb0f955wwAevLnW39ffnDo8HlTP7+QYSi/FRoAWqSmXJXi5BcUblAYJ4y/uMo49ZknCJQKzbIstkJjMBgMBoPBYDCYOmkiqgrmJBMkIWFqU1VdM3HFvv2+EAaxM1Ohg6A3n9RsgiAi2yFdLpfL5ZJlObJLmud5t9tNEMTfJfr3e+0049C5Pzzpy+3lr3TXasYbCStm1lafD4z+j6fnxUEL93W+LPvvbyO8ndoip+a+CS2GjmkygaeO4zzz/B+R27hckSyN7/5nS+vWYu9eqTHFLKAoDFEUH358xbARCx994i+WFfyvGoYx+ePzq2tsgad79Uh8852NAIC87YFRA6gCYeBmbdtGnzsSB/3LJUliWVYQBLfbTZKkZf0rgJaWauee3QI99irmY0/+6VefAUAQDu97JTDr7PgiJjHoHSPv4759+4qKivxLWJbt2LFjfHx8uFVUVRUEIeRLSIYWRRHlz5wENE2LbFSPCcMwPB4P2sFAgfU4Issyx3HHsc+RQaMRIc8H27aziKMKY2pSXODTuT/u+8+EzQzD6Lqu68rNI9p89cUF0768iGEoAMjIyCBJsqSkBDUmCKJjTuv/a5eSYdWE7IlInEBreaygcegT6nbHYDAYDAaDwWAwTQPsgMbETPNRTuvNzr2Fs/eZACF8YVdnEaZPMYxmlFtS2/6MnLDIGYqm/9cpYbjd7rmFts+y0V2rvUvpNeNFACjucr4oiu6Vs93rFoSz4WV8/EDthRrjpjXFk9XFXbg5cLkDUNH94rirb5dEsYk5+zRNr66OZOmd9uVFhqGzrMuyHJomAED2mj/+tLdTx8Q2Oe6JH2/euataFJh2efERzLlIVPX5fH7rK8dxhmGOvne5z2e9+nLPp59ff/tdSz79+Bw0iIXCmkcOb0OQHW678zeaJoffvHDyR/2RpswwDHovjuNCvh16lSAImqZZlkVbgyOZLTRN9+yRsnJVcV5uXN/eScnJLpYhf1tWEnJTcXFHSaXVwGxw4nu4ScJxAKDO4oSapgWd52iatq7rVVVVIVeJPLbh9XppmvZfLBCQSHPczdGmaaKcE1Sb8Xghy7LL5Qo0sx9HVFWNfoTg2LEsC71jbau4YRgU5VhHbvg+iu3TO2nN2kP+BqvXlHm9HV0uAnn5/QfZ5XLt2bM3KSmRPrq6KcMw53Zt7/V65++tNMijXmrXNqr6nycTwzAsyzppgyUYDAaDwWAwGAymMYIFaEwMWJZ10pJJGymO4/y1eefvh5ja6jMBMDib8DaPkoN+RFEMkrRomo4pcJYgCMclfr/33/Y8YV0y7zl0fNt/+Xj9OtZhzZSKPpemXX8vAKBqZiRJIsttev22WF8cx7FtCwAIgiDJE5ipWl5eHe6l/7x7dpybQEX5gq7xKy5Dx0O//572SDAlCAJFatTejiRJd9y9VJaNuDjmxWdPa9lSIAjiv59uWfRb0eBrW3ftkvD08+svvijj9+XFXq8TqLlZlsUxjsAzNA01NcZto5ffeEPe5ZflAAAqi0fTtGEYKHhBkiQU++svSIjq4NV20K9eW/W/hfsBYN36Q+vWH6Io4pXij19TfQBAd24vDf0/IiPdMYyqh58D1Qf7gBz6OfnxhLK4NFQLzgFivRXXc8+fRG6nQJ91uHQOVEIwSEzMzc3dvn17yJxiRVEiF/1DYSO1l6PLKvqLCFULtG3bn9pcOxjEMAyXy8Wy7DHmXweBPrsTkShCUdRJnoiDUsU5jkO2bv9nyjCMZR91w79pdLc1o5f6n953d9fkZM4/OuJH0zRd10mS+G1JwR23XxQ0ICGK4uAu4rYduzYYQrhEjgaCbds+nw9XJsQ0W/bs2RM4AyYycXFx2dnZcXFx+HrBYDAYDAbTrMACNCYqHMfRdT2meffNk+Ubd6yqCmEEIwCuyyZOTqhrw0EUxUAnLEEQSMWL6TjwojSj4Cih7driBZRxrMKTyYkpg0ejx+HctScUx3FqqsqIQ3+kUIX+H6Fey13JnZvSsu2J+F1adCBs+jNFObZdx9Xtr6Tn8XhQyK9hGMh07B9RKCv3tckRfT5rx07Pw4+vCFx9xqx9M2btO/20Frff0sXFUomJLsdhA88En8/34QfnjLpt8bVXZ82aUzj16x3Z2VJOTpwksizLIqmOoihRFD0eD6rUR1FU5NiWzFb/OmQFgXrhatJ+47AV19yyver514Pa2yVl9jU3JKelkhPeLUvOAoIQDYUf/xIBYFwy2Bh0HXK/kiSJOsAwDBIl0eqGYezatSsvLy+oOFv79u3379+vqqrP5wuUd23bZhgmUEUVBCGaTAOv18vzPEmSEYKbkXXacRyfz0eSJDrUaC3DMNDkA4qi0HCCvyJiNMVCYwXJ6KIoEgRBEIRt25ZlmaaJzhmKoizLchwn1u8XmqZPcviDJEnouAHAetPdTbCQZLzbDo5SKeZSBIFWlMMHc8KkTV26JNHU4Y/er/4LgvDt97sWLCz0afZ/P9sx/Zur2rTJDNpUx3a57W17xba9+4FPsrwADbfQGRpsCBqAwWCaAx999NGbb74Z0yqdO3ceNWrUyJEj09NP8qg3BoPBYDAYzKkB/07A1A2uNxglW3bvC6k+A8CgVs1LfWYYxuVyqapqWRbDMBRF0TRtmmasM/HdbvdvB4NtnsVJuS2OrXumEOc8+glFnbIbYNWhMq5qYQuqLOgeLFIe0fipZk+Sl+0CFOdQ7vik9OMl6MS5w+rsc+buue2WriFduiExDANZgNGdQRTFI2UGyY2bqggCzjs3bWmtpAuGIcfc20XTNIEnH3zk96E35J5xWsvA68I0feNeOv3VN9bk5rrb5EgTJm6uqtYBoHfPlMcf7WUYhj/z1+v1oqyPCJERLpdrzdrDEc+Xnpd03qy37DeiqrNnl5TZQ0akZGcxTz+Ssnfd4c7/OoPatNp4YKyu67Zty7LMMIyiKARBcBznnx0iy/KOHTvy8vKCPrXMzEwAyM/P13UdpYUgM7LP50MKLACQJElRFMMwPM/XmbOvqiqSmMPuxRG/M0VRtm2jd4lwuNCxRZdtNEcpVoK0crSzAGCaJkVR6BZhWVa4W4R/+Mqv3mqadiLk8sigURCapm2C2ACJEN6D/vq7Z425a5n/6eo1pRec15KmacuyZ83Zc+UVOQRYmqYVlyg+zQYA23YG3zBn4MUZzz87SBCOyrYmSbJ/57ZVVdUuV8NVnxGmaVqWFZjejsFgQrJly5Ynnnhi3LhxO3bsSEtLO9XdwWAwGAwGgznhYAEaUwchJ7ZjalNecejn/VbI3OcMHhhLa1bZJaiooD8OuN7JLY7jXNCSDMzfAIC9Qqvux9A33Z1MPfoRx52k8mW1OVCwpQ0shPBhG3HUoTjrd0DmziKoMFvRrS479g63apUc7qVVf1fcdgtIkmQYBk3TgTG10eDXFo+4bmHbtmqWJXX9qA/OMGySJC3LOliiFpf43v9gM8DmaV9epGk+pMDatt0ynf7vpPOrq32btlSt/LNs2NCceT/uX/9PufT+o3DXy15FsW3b7Xbruo4yKMKFUUiSRBDE4GvbJoh2pz9m6FP/qG2vTbr/dumSi2yv15a9bF6bwmtHWYf+NYlbBYXW6Af3A5ApSa6zT0/q3jrux6+40iI9IfXI7hhwxGKMqu2pquo4jtfr3blzZ05OTm1nPcMwbreb53lFUTiOI0lSURQUT8HzvGVZgWMAIeOGgw67JEm6rtcOzUC7f3hHLMufvBEBVVVJkjxpqcq2bfs/NfQto2kaUvNpmkajnijPxDRNl8tFUVQ0e3HiQOc2EqB33PRk4tk9jbtukamwV+V+PpUkCf/EgoWL9u/e4xl9e2eCgLZt42+78zeCIC6/NPuRB3sOHb7Av9b/Fh5YvOTzN145+4ILegRtMCEhHg1+nICdO56gKwLHcWCaFQ888EC/fv1uvfVWVVWHDBly+umnt2/fPjk5mSCIioqKnTt3rl279ptvviFJcuLEie3atSsoKFi+fPmkSZM8Hs+wYcPmz5+PU9QxGAwGg8E0eSJVQMJgTonFrJEyc1tVSPWZADgrNThXtznAcZyiKDHFPQciSZLb7SYIQrOClUMFmJCrREPx+cO5pz93nUL1ec+GNrAwplWS6aK44v9W7f71GDNw3G6RIKB9e/dtt+Q9/kjnm0fm9umdlNGSd7tpTbM0TVMURdd1r9frd6fGhCRJDz76B3pcUup74N6OAMAw5KWXtMrKFB68ryNNEyRJsiy7/I/Sp5/ohlreNGoRy3J+rcq2bUXxMox1ztktNc365tu9um6Pfb4HU1XGzv5MEEU4MicDnVcojAIABEHw+6Pdbrdt2x6PR5bliy5soy9bGdRV4ezTs5fMoS69SCEcnyTo6amyLGfO/KLNsnls+9ygxnb5IXXO/KKxn2yvSLJcPCJIXEbnuSAI/kGXffv21daFs7KyACAzMzMnJ4cgCORiRgUAUSxGYGPDMCJXKUSZwiiPOOiD8FuJoxc1eJ6naTp6F/yJAGmXsiyjko8ul4thGHSITqH67Ha7RVE0TRN9QJZl5U16rmLidzXdB0nPvMRbYY3qb7x3pv9xwT75tyVFSHdu28Y99Po8w7Bnz90TqD4jTNN55InlVw/+ovakmUYkUYXLScdgmiQkSY4YMYKiqOXLl0+ZMuX++++/5JJL+vbt26dPn4EDB95zzz2TJ09etWqVKIp33HFHq1atbrjhhvHjx69duzYuLu633347ePDgqd4DDAaDwWAwmBMOFqAxoUFCAA59jpJ1+XtqrNBX03XZRGQbY5NEluWY0jaQiCYdgef5mfsOZ8LOKQw+CUuM+kzdKO97OfHqnMxLh0YW9U4oJcVFOcTSutvVgiAgjcq39kw5lncnCOLc/i22b/d8+vnON9/Z8sWUXWvWHjpwUPV4TE2zUFADOuYEQUSfrktRFPrUho1YWFLyr2/6rfe2PPZw5+7dEn/5tahwv/L+hG3t2yWsXXcA7c6rb2z0txx+86KCfbokSYH2W1mWp35+0V13dNZ1+5kXNyy44pWKO8cFjfEwDIN8xCjRQtM0URTdbndgoLDsU1v9b3rOkjnZC2dkzfkq7bVnhYvPjX/hMSRxBm7N6/V6PJ70j9/JWTq31dSJVHLS4R1skYIetHj8fiM+CUU5W5aFOoz2XRAElA5hmiY6gT0ez+7du4M0aIZhMjIyysvLXS5Xu3btRFFECrIkSRzHBQUX6LouCIL/ogh3/JEPGoGyLBRFQek3kiS5XC5JkqIRLm3bPr7lB48Ry7I0TVNVVZblk5z1HARytft8Pv89zceQvVZ/CwA1sxd7uw/M2v1PyBXL4tODTMBexRx+86K771t2+aXZ33414PP/XhDuTQsLvede+OX8X4PHThoREQJVMJgmxptvvmlZ1vTp0/v27RvO+9+1a9e5c+e6XK4XXngBfft07dr11ltvBYAvvvjiZPYWg8FgMBgM5pSABWhMCGzbxqHP0bNhx95FJSF+bzAkDGl+hQfrB8dxKDTAASj1wcz9pOXA9AInKHwD4QBhiIlHLSGIyt6X2mNnll0wwuSOkuoMMeHQ6VeaL01PH3J3PVy9xxFVUbK0GccyK12kqmHPx4fKD9ZvZKi62rP099I6m/E8H/1J63K5pkzbM2zEwmEjQti633p3S1n5vwrUU4/36tkjXZblr764MKjlij+LRt66aO268sDsCFmW+/SO+3rKRZcNav32+1vBMh2CgADJFQB8Pp/H49F1nWEYjhcsC6pqdL+ALrk4e8FSZfpco+IQybK6i7G6dxYeuiuCN1NRFFmWtaSE5K8mtv5tduvfZid/OSFjwQ+tf5tttMlCEq3jOIZhyLKMavchLRuV2tN1XZZldAC9Xu+uXbuCwkwkSfJ4PNu3b6+qqiIIgmVZj8eDzNq1D7scQAQN2t8GubNt2+Y4jud5giDQlm3bRlMKaq+LnOMcxzXze74kCG63u7adPJDA+UAGTaVcfwl6XHDl/XD6JXFGrYFGghg3MfhUtyzHceCvv0tt2+Y46r23z47wjk8/t/bs8z7at68YPW1QIwRRgkeyMc2BpUuXpqam9uvXL3Kznj17tm7d+s8//0QzeEiSvO+QibABAAAgAElEQVS++wBg3rx5J6OXGAwGg8FgMKcUnAGNCcYwjFNrN2tcbNxZsCDU1EmRhkszAKvP0eB2uw8qToXmbKmOVqfQ4lsw3koAcAiy8tyhiQOGpDIMALQcdAMMukHXdZ+qkBQtCAJPkqcsbuNo9IMLiGO+47pIraV3emFlhxbtLol13ZfHLQ730nnnZPh10pgiUxTFWbL0QIQGN1yX/da7W9Djgn1yWgsSAGobxBYtLgaAd97fcM/ozjRDd+0soOUsyxIEcf112eefl5H/x+bevVoCgOM4SFpFbdxutyzLHMdNmbFH1cwL+qXtLqjp1TnR5XJZphn/f1d4flnIpqbIshyTEOYv4gcAIXOWUU/QX1VV3W63pmlBb6Eoyvbt23mez83N9Y9/MAxTWVnp9XpjOtRIg458S5FlGZmdGYZB7QmCQL5slPjhbylJEkoyoSjq1MZuNBBMj6dy6AjXWWcKTz0W6NtFZ1ft9gzDlH//q/+p7fVV9bwsbex9lddca5L/XudeLi6zlbC/KDg/ZMq0/NP6psqy7JaIb6Ze/Mbb69dvKA/ZMVW1rrluxuBrsx9/9JKGHwAdEk3TUCnaU90RDOZEkZ+f36JFi9q5/0EwDMMwzI4dO/zfFDk5OQCwYcOGE93DetOQB5AC+xY486kx4v93olHvBQR8KE1gXxBNYy8QjX1fmsZl0vRuXND4T61AGvK+NOS+RQ8WoDFHgSfMxkRxSemvB0LfCPokE14vVp8jQZKkbdskSdYYzu+lMdxP+0serUW2MWA41zLbnZjUolYDlmUbWliqqnhb0AXHa2tZbP7BXZCUG5sGvXJVaIULAC6/rLX/McuyUZphUexG4JJBA7M2/FPx8IM9HnvycHTA9z/8u9fPvvDXF5PPMQwj3Axlx4EPP9oiifSkCec5jqlpGsuyN45ceOEFmbeMbPfl1PyO3TMkSdI0LXCQbM8+D8/TkgTXDGz1wEtrWmeIl56fAQD/Ks79zzhBGisKcbYsCyVFIHdzUBuWZbOysgL/Y2jVqpXH4zEMI1Y9UZblOisT6rqOsrBFUXQc50hZSCdQ7xZF0TAMTdNOeehzA4HjOO3r7wBAW7EynqL834IEQYT8bRBOTi15bgKblH7B4PN3HfKUmLRFkB8/8kvFoRBDFxUV2l33Lftowrler1eW5YfGdN68pebNd9aH62FVlY7qH9Z3F08xhmGgYpKnuiMYzAnBsiyUGhRZg0YXQuCdH2WCNbT/WBBojyoqKk51R6KiqqrqVHfhOIBKp5zqXhwfmsx/F43lEqgTXdebxr40jYsdUVlZWXejBo+qqjHVrj+ZxNqxkBNSGw5IqWukfhQ/WIDGHKahBYA2fBzH+TrfG7LwIACkuEDF5RvDQNM0y7K2bft8PlEUZxbEcBs9L9U+rVM36N3txHXvRFBdsi0hTOLRISMtiSmJdYPpdP4hz5mSOy7K9pE15VYZAvrNIwhClN9qNE1/8OEmSaJl+fCJ/vWUi23bysuL//6HnRRJWLYDAKp61HQKlmXrLE0me80Rtyy6eUSH/mcnAYDjwKLF+w3D2pZf9dSLK8e/fDrHcYE/bFqlu8Z/sXPXPln1WQCQEMeMfnrVpHGnIfUwmn2pN7ZtoyAOVPbQtm2e59H/OjzPW5al67rjOBzHBWruJElmZmaWlZXJshxrlVdFUSRJ8vl84VbkeR4l+LtcLqTg125JEAQ6H3CNWQQpy8o33x15cvhC5XmeNAzv9BnSkMHILe4/XC6Xa3Xnq2pvRzirx9sLfELe/ssG9AKAysrqV0Opz4iaGuONt9c/+VgvlNzSvh0/+aPzb79rScjGd43u23jVZwQ6Leu0iGIwjZGOHTvm5+evW7fuzDPPjNAsPz9/3759eXl5/m8EpKS0adPmZPQyRlB9hcTExLqbnjqqqqrQF31cXFyjvkk6jlNVVVW7xHGjA9XJAABJkiKnWjV80Mh9yPiyxgVSOVmWDSy10hixbbu6ujo+Pv4UlvM5dhzH8Xg8yEmTkJAQzpTTKEAl31mW9deBb2jEekcVRbFhDgkj0N21UZ8zgAVoDMI0TaxExMqP63bbEPqf3bNbED6l2RUejBJ/yC+S0mYW2GbUIuHAFmb3jnknsHMnjER7S8jI/QroKDFF9dggAaBVbJDc50TZvrg4rP35y88uCHTcRFkzk2XZlX8WBy6Z8lX+qBEdPpy0KVD1ZV1HfUeaphmkxobji6n5lwy8WJblb6ZePGzEwmW/HwQAmiZvf+LPyW/0YxjGL2RrmvbInZ0nTd0+/NqsB19a//XsPY7tkCQpiuLJMeCgN0IRHKiiIAB4vV60p7quG4YR9N9MXFxccXGxy+WK9cbrOI6/bmHtIXp0YFESCNqyYRgul8txHBQJjRo0jQlcxwV0IpEJCf4lvsVL3Bee7/V6fR6PuXWb/tmXmhRftWobxfOtHhmF/vOTZbn3hplru10btLXJba8F2Xzj402XXNidoqjExPhf5t1w6ZXfQRg2/FNx++glH088R1VVx3EAfO+8edYjj6+o3XLUrT//Mm84wzT6/9nQ0Ehj/9cZgwnirLPOWr9+/c033/z111/37t279hnuOM7mzZuHDh1aXV191VVX+dWTZcuWodVPdo+jAH1lNGRVF+VxoW80VIP3VPeo/vhjwRv1XsARUz80iX1BF3Jj34tAmsa+NPZTC9240GOSJBu1mI52pCF/U8T6D2dD3hc4coNt7P9FN+IzHnO8CDR2YaJEVdV8OfTtSaIhlTawxFMbVCENjszLYwRpeoETpfpMgjOqi7uRqs8AIFChp/MkwzYXHCWS2kCptmhB3aOvyc626DtAUWHv9gxN+v0diqIIghDNBhVF+fjDcwHgqitzpn15EQDM/1/hsBELg078q69oHfiUopn9RerQ4QuieYsN/1QEfcUSBFiWc8ujK3/6rdTfZzSvf9R1bT/6aufkN/vJimWYzpqNhwzjJPlWFEVxuVzIAoB+saP0D8uyGIYRBCHkvzIEQbRv3z5CacEIoBKIqK5g4CFCJlNRFGma9mdHaJqm6zqKevAXPGwCjp7jgsvlYvK3V37yqX9JzZvvOKYpiqIybKSzt4Dq28f64AOz0lP+xRwq4OT2+tTeW+Z0+uE9oEgAIATOPWNSlWwCgGXDzB//Qs3S0lLmzvy/CB3wKuYPM/f4z5CMlqGvPkWxhgz7rml8rdSOSsdgGjsPP/xwRkbG9u3bzzrrrDFjxsybN2/16tX5+fnbt29fs2bNTz/99MQTT5x22mlbtmxJS0t76qmn0H3bNM333nsPAK644opTvQcYDAaDwWAwJ5xG76bBHCM49Ll+bN0f1k9KEoCrONbGL8OZpkmS5B6P83dFVBoECU6fJOfcLm0a+XBfVDu7g7gGAICyWacmG5ZEbkwTevQDRywb9m5fU2MkJBzOZq2zzJ0fiqIqqwwAmDtvb68eKcF9o4nUFNfj18eLr455cPSL//m6DClON41cWHtT/lVM0wGAKy5r1btX8suv/NOzR4rjOIEx08qRQI/WrUTHcRiGsSwLRWoKPPfo6K4vvv8PAGS34vt0Q/EdJ0Pnsm2bYRhN04IOna7rKIg5pLshLy8Pwte4iwa0IsdxFEX5fevIIl37c6QoKvC+pGkamosQay3EJobP54OqanPWnMCF5f93A9g2ABhTpqElqV1aeP4HBe9PyXnsNv+B9Xq9kJ3We+Os+csO/DC/CKb+O5XhP1/u/L8rTkd3vMzMlt9Nu/yGm34K14e5P+69/rpc9AnKsvzauDOeenZV7Walpb7vvl859IaG6JSMFVT9srHPzsZg/OTm5i5atOjiiy8uKiqaMGHChx9+yHEcGpLUdf3IFAdISUn5+eefO3XqhNZSVfWaa64ZMGDA+eeffyp7j8FgMBgMBnNSwAJ08wWFWp7qXjRKbNteUWKGS3/OkYCmaZqmLcuqM+62+YA0OMuybNsWBGF1Qd3KYJrLOjdTaJ2R3silZwAAxyHCnC9HkefM1sEd5IkOBxGdqI2QpLC5b3fdt2zKZxeix5qm+VOMI7O/yPf8S2vQ45fGrfYvP61X4s1tDzJffQGHDBgHANB50vMft237U4+RKzbI55+ZcHWHSoawaFtLzV9yxbJLa2oMADitT+qVV+RwHDXxo02y12mdlfjtVwM0TduW/6+KKkm0ph+WSk/rnrxhS2X3Tgm2bSOZD8VfvPRQj2feWl9Zbewq8GS1FFiWOglJ0ACgqmqQwovwer0kSRYXF7ds2TLoJXRWJycnl5WVoTkoDMMQBIE0C0VRohzHQoOIgiCQJGmaJnrq9Xrdbrc/gYTnedM0eZ73i6e6rqPQ/+iHHJokpmkS/U5P/WWuuXWbk5JSdcsdYFmOrlPn9reWLf+32aw5ibdeq27IRx8QOnQMw6D7/IX9Uvp2T3nyzQ2BW57986rBVx4Wi9u1y2FZUtdDCP0DLsrMy42fNWfPoIHpaCQgPp7lOQoFmgfxwYdbLxnYJTEx/jgegVMF+i7AZQkxTYaOHTuuXbt2/Pjxv/zyy7p16wKLMhEE0aNHj0GDBo0ZMyYjI8O/itvtfvDBB09RfzEYDAaDwWBONliAbqbgkoPHwuY9RT47tJrIEg4BBE3TiqLgWcaBmKZJUZTjOAzDzttvhzw0BDhD2olu3kWSpCjwNN10blBFVo8ccnWdzQiAQPVZB6mAuNjllLeG5aGax3CCRQ7WoGkSjUa5XK5o5Eie58e++lfgkvPOTrnRt5T4cyUsVWFprRV2775894vXv/JUzj+fw+Z/F8+8Ys3FX3cXRfr+e7vpuuo4zgvP9rRt27a1/O3K9h1V077Z4W88cEDLX1YerhY9+qlVH792hm3bKL2aYRiWZQGIdZsrXnms58fTdowbv6n/aanXXpKVGC+eBIHVcRxBEEK+ESqZkp4eehzF5XJxHCfLsiiKPp/Pf2dGBT0Mw3AcJ5p7tT/FG40fBN18SJI0DIOiKFEUgzK+FUXhOK45T4VBnnHIygSA1Lkzyq4ZAoYR/9AYGDWi5s13zPztqJk7hX4l6//S317/0pjObrcbRfipqooGD3gGPn3t9JfGb9p34PAH8d7nu669vJ/f/F5bgBZ4SlGthYv333ZLp9//OOj3oYsCcc45Gf9bUBiyt7eN/mnm9zeegMNwCkCj4GjE5VT3BYM5DrRo0WLs2LFjx471er07d+7cvXu3bdtt2rTJy8uLi4u2YjAGg8FgMBhMU6Xp6DuY6MHO3GNk+UEjXH667hDt3GAYRnOe1V4bjuMOz7YmiOkFYY/M3X3TBaGBVtE9RhJa9YDSugXoIFiQ85zZ4bQZy4ntBi4KlFcJbar1C0CmaUa2DJMk6VXIr7/NNwwbAF69KzXlwzfAMOCXukVS70vvlDwxivOWsWCZQoJ7xwq+cv8vI/nRv/W4856lw4e1v+D8lkhIJUlyydJ9vy09ELh6SvK/hYx1w77v+b9Zhnz7mV6o3B8ATPhyW88uST8vLrzthtyMNBfHMYbhA2BPnAmaJEmO43RdtyxLVdVwSq7X6926dStN04IgZGZmBr2alJRkWRZBEIGWZ+RQRvKlIAi6rteZ1M+yLNLyeJ5HWjYAuFwulmXRDd/n8/mjn0mSFATBtm2CIJB1GlcCAACvqsa/+Gz1My/QPO+JM7nXxgo8DwRhlZdXDL/ltfPOf6q8/+jn1z1pL4+/4twXF8L453sRBIEOryzLT9/VYcM2z6SvdwLAx+NOm/bDihHX90db5jhKlo86wopqvfHqGa0ypKHDFyQluvr2Pg19BLquDx/WVvboK/4sqd3D4mJ19ertffu2P+HH4qSANGhclhDTxBBFsUePHj169DjVHcFgMBgMBoNpQOAihM0OwzCw+nws6LrutcNeOCSAZVk42yQIdEBM0/whfPLGmH4ZTVV9BgCeFwuNLvVYUYP4KsgJ/ZITW/26Rx/qFnJ5u7x4ggBJkiRJKi7xSZIUoSKzIAhjHlqOpOGJr3ROefN58HrhaIsukZVFZGUBUpRcLvesWcKrr7pnzCAoqnpNUc25N+/pM7S897WeThcUDns7rmzH2zcZPp81+fOtI25ZLEluURRt277z9s5Bb21ZR508XsWsrNZJkkSu3hm/FKzZWPnpt7sGnZ9JksTlF2Zu2VE9bXah7YAoiijvOKbDFQ6Xy4WOldvtFkVRURTk7ud5PkKmraqqHo+nvLx8x44dQWp4cnIyTdPh3NPI5U1RVORyhZIkmaaJygyqqkqSJEEQkiT5pWfUDNVLJAgC+bV9Ph+aJI4VQITjOHr7dik/z0FasGVZHln2eDx2fHzyV18QS5e8Ts+nKeINqv/YxaDptqqqyMOOVtc0rXMu9+KYrgAw+tm/P/l2j39QgWVDFKJ8/a31FEVwHDXhP+cEDgBomnbPXZ05LnSd2wcf/b2JDXDib0wMBoPBYDAYDKbJgx3QzQtcff7Y2binKFz6MwC42ZPZl0aD4ziqqq7zhI37vK17Iss28WPXIu+ikl1aGr0zprU4qOagOuRLGpEQUw0vkgotK+/YWT10+AL0+LJBGT/PP/DtVwNQfDBBECzLGyZKnCH2F8lvv7cUAF59IDNl6iS4fzwAgCRRbdpQHTrQp59Otm9v2zbSNEVBQMkPsqJAdjb4fNTnn3M875FlAFBV9VDPK9Cb+lr3HHNnxQef7LZtuPOeJSxLjnvpjEWLi4L6WVAQQqKd9evelEThnNNbDL5UXPNPxcEyjSBgd8EhjuMzWvA9OiVqmsVzFEEQPM1QnAvtF0VR6qfT4odcTaQm+8MrAIDjOKKymkpNtiqriXg3knFRCAYyF6MzGellgWcsEn+hrkhly7Jqamq2bdtGkiSKEnYcx+fz1Zk2o2mav2ygZVmBfUY4jhMoSlqW5e+GPwkaLWcYRpIkVDjRNE2GYVADlCLdnPOg/QSmlPA8TxlG2Y0j2b69AQBWr36lo+elhKGKzwKAvzdWX3CmhFLIEbZtJ8eTd96Q+8l3uxyAp16d/+ZzlwMAGepLo7JSmzNv738nnePzBaeuq6p6711d33l/Q+21bBs2by7o1q3Nse9pw8Hn8zEME3gkMZjGi+M4VVVViqKwLJuamnqqu4PBYDAYDAbTIMACdDMCq8/HjuM4y0udCAL0wJaELDffNNWQIHGN5/n9JaFde3mCmZjQFMpq1UlC7mX7iouS1MUSWXnsW1OEPkGeWJ9P+2PF9r9XH1y3vsIw7DNOS7344ra9e+Uic2t6ekKd2/x5/gEAWLuurH07XhTFSZ9sXvb7wcAGLpb8ZFApjB0PAEBR0pQpFsf5fD4bwACAAOWutkgaVFXP5/Ol71wGALnzXmpDUl8lXnmoUvd4jJQU15q1B6ZO2x20+m9LS9jU4FKKcxccBIDScnXwZdkHyzQAuPWxPwFg7CPdVZ/27uStNAU3XZPZr3fG4r8PtZ/wfOtvP9E0jeO4kulza6bPBYCc32Z7VRUAWJatnvi5uv4fc1eB+6pB/N03i6LoV2+DgpjRIa2dzhwhiCP6IxMOpA7zPF87VCR6/3KQJ9q/C6hXgiDU7l5zhiAIz7RvCXec/tsytMTZlv/CXSVP/JkCAF/NLfpqbtEn4/rQNO23MNu23btLXMsW3MFS34p1hxYv29CnR5v9RQoAPPNE718XFK5eW+bf/sZNhy6+MDXkV3OvnklZmVLh/hBDAs88/8fM6a1puknJtejMxBo0pvGiKMqMGTPmzJkzf/58NI510UUXLVy40N9g+vTpGzdu7NWr1zXXXIMnnWAwGAwGg2lu4AiOZgEy2WH1+dhxHMdwIl01TWxm9HGB4ziej5StcUbruoXRJkNaeiumzQhvq3vKzVbHsh3ToVukZfif7t9/8OHH5l448KvnXvxr7o+FhfuV4hLfnB8L739w6eVXTS0qKgWAvNyWkbfpdtOts8RBg1pVqKYgiLZtV1ept93Z8e77D4eHJCWy41ssgO+/A5bln3nGPXOmN0DKjBXbtm328IlB2tb1V6QCgCTSd97WxbFpSWKuu7Z1YHvLclxs6Kvvx8UHbnt8ZV7Ov/L0c+/889vKim7t3Wf1SSoqNgGIRX8UV986+sCazes3H9pz7pX+lnsvuMacM1/7/JviYXeSrVucP7Zb55nPHjrgRVUBw3XecZyQgRsozVkQhAhxHMeIqqqBJSV5nne73dGrxnUKfIIgYBHQD0VR+voNTmlp4ELno48uOiPR//TOZ9eoPscfxAEAmqa9/EDXzHQBAN75dMsFA6ai5R9+vClQfWYYcvee6nAFQlVVfXVs3xE3hYh7Lq/QXh73a9P7TjcMA5dHxjRSampq+vbtO3LkyBkzZgTVevXDsuzYsWOnTJlykvuGwWAwGAwG0xDADuimDyryc6p70USo8+d+hPDc5okgCIZhRIjXIMFJS0mKsAXF6923aPmBSV+ZJeUAwGS1bPva49mdOx7/vp5EaJp25w4uLi9KkefQRH2Kvx1wXZUGAACy7H3o0fmbt1SFa1lVbQwZNm/KZxfl5mYnJ7sqKkLfDfJy3YMfOdsDDABksaaiVImidPbd/ZHf//GJmQ5BajYBI95hhwyhhw1TVRWOLa7BcZySrL50TZl7xx9VWT11nZv1oG+9dPpL49aiBj/M2texQ1ybNu5f5h+O4+A5StNDj/HYNhgGfP72mQdKlMUrSoqK5R17vas3VQPAx6+dcetjKwFg3nbRsa1dhQWv3D5SmzyF7dO99+N9HIIGcAgqwzVkYFli312uzLz9k/5Y/LdpmpHj8sP511ACiT9/+UTgOA7P85Zl6bpOUVRgyEad6LrucrlIkgw5WoaEbDRoZNs2ihw5bv1uhNiKYu/cVXt50I1+wlc7nruve+ASRVFeuL/rHc/8lZbs8k8iqKrS77qzc9/eqYWF3g4dEgxDj3Bv5HmeoqiLL8ycOm177VcXLj444OLN5/TvGuseNXBs20aJN6e6IxhMDHg8ngEDBmzdujUuLu7WW2/t2rWrIAg33nhjULMuXbokJSUdOHDAcRzsgMZgMBgMBtPcwAJ00werz8cREv9giAUUm5vvpbsysLQktHp/WRYdTrWvqqhYffUd2taj1B+j4MCmc27Y3i7nohWzGrvcn5jSyki6q6hoR7q5zEXGIPN5zIS07EwAqKmRr7jme9Os2wg58tZFyxaPev+dC0bcPD9webs897XXZDPZLSopwXMkWybLZaqGI8uec9xgAZCOTRAkgKXZBPvZZ7okHS9R0rZtueN57h1/xBeuH8HvYUuqE9tkBjbYll+zLb/m4gvT1/9TWV6uZbfiq2rCqroFRV7HgYw04carszVNQzLrrY+tfOjl1ajBzgIv2sPZTudLATo8MTDO3AwAhS3+z8emozZ5+ycSALbq07fvg6xI2Z2R/acnVFxAk1ooinK73fW4w2ua5na7I8jWPp9PEASCIGzbDgyXaI4QBJGS7JRXBC3+Y0NN4NO9Rb7AHBWCIFwuF7o/2Y6TmMBWVh029p53ToYsy5mZtNcrQ6gUFwTP8yi8iKIcgoCQ59oTT6+aNT09LS2lvvvWQLFtG12/p7ojGEy0jB8//q+//srKylqyZEnbtm0BoLS0tPa3QHp6empq6sGDB5ve9AUMBoPBYDCYOsECdFMGe5+PO5HTBk5PAVzCyw/HcY7jkCRpOfb0gtCuVZ60O7bJqb3ccZwVj4+t+mxGuI3rO/b+/eaHpz9xX2P3EJEkmZ7VAaCDBlCyZ3VrckWdq+i2i2k7AgBs2x42YlY06jPisSd/euv1yx+eeKkBpBXg4Aw6ZUlwbOOwKCbLwRqlKznZOH4nuSiKJukGAAKAUauX7MireusVqsddlnXUTi1cXAwAzz3dTRs+pr9XJUQ++Y7/Y849gxD5f3Yq380v8be89bGVrz/e6cuZRW1au71ebe2mKscBRf1XGUTb3bRdvubs01qam9FCH5OmqirLsqmevwkAByDjlXuKP5+V/tLdEdKZIxucT2gaj6qqSBeOyfscSO3Oi6KILNVIdPYXJBRFsTkL0A7Lxj32cPWTzwZpwIMvSJ76y7+5HC6W+GdbVe+uKYZhEASBtGPHcW65KuPXXw8g9fmc/mmr/ioLOqNQojcynjMMw3EcKuNJUZTjOH+uKunePSmCVDVk2Lxli285rnvcIEBDLIGpJhhMQ2bp0qWCIHz33XdIfQ4Hz/McxxUVFWEBGoPBYDAYTDMEC9BNFjSP9VT3oqmxq/AAQNh01FQXwdNux7ZwFS+O42psetFBx0XZWlgFz7k2L0T4qaooS/tcYZUGWw6DKH9rsv7QnU3JJZfWpm/5rqIUuiBCG9UW7axRNEE4jvP6mwsqK2O4xlevqZi5rUyv67bfV9I17wkZuBJFMfDS4DguedX30u5VAOAArPScUfnNNAB46M//kPFS0oMjISkBjS+gn+rmL7+qXhUAHK9a/v40eH8aAKQAPNg284+h9/298bAj9ck3twLA1p01EB5Vs9s9cRFoG9DTdkWTNDrRZR6uDFnKdiL/+27SpQPR2RXucmZZNtw9liTJEyra8jx/LLd3iqKCRm5IktR13TAMhmF4nvf5fP6xNK/Xy3EcTdPNc3RNURRo2yb5x1n2rt2VDz8G5uHbWbc18wDO8DfTdGfq7IKsdDY1JQ4ALMsqLKqaMreIBGLcS2cMv3mhaTq/Ly/5ZurFKByWoiiSJF0uF0EQn32xbfD/taEp0zAMkiR1nXjimbW9e6YsWLQfAG4a2iZC90zT3rp1d6dOkTSvxgvWoDGNhY0bN6akpPTq1StyM3ThN/NcIwwGg8FgMM0WLEA3TRzHwerziYBlGIDQxsZsEc26d4p8RIYgNFsNmqIoQRB+3m/LpgMA4dVn6JdoZaSnBy00dD0a9Rmxc/W6Lmf3O4bONjjcuVcX7VmeQaytbey2HeIAeXZKTi+aIADA61V//Hl/TBu3LMcFph5+BOVUGBYAACAASURBVAUAUmiLMCLZ/CM4giNDEIRpmoG+YJawhX3rbYYjDd/WFpeUvPyh/yW7Wi5/aWKUWzZ27z/91ScvuXfYF3qn/cXRVkRM0zYHPvWrzzaQO+6bDADi1VcqiiJJUu11KYriOC6CIItMxCduAgpJkvX+INxut2VZQWUGbdtGicM+n6+2Odrn80WIjW4OKIoCLdNT58wov26Yo6oAYP9vwdj7uzz3+7+nx0tj2j397nZNtx6+pe32vd6MFq69+9WMVNfEjzd16Zy0a1e17DUJgmBZFhnMbdtGH+KwG7I5jgVgZVkmSfKhx5Z7PAZSnwFgz17PmHs7fvDhtnB9e+X1v7/6smkK0IA1aEwjobS0tHXr1nWOiCPjc2OfuYXBYDAYDAZTP7AA3QTByRsnDhdLA4RW9gu8UK7ZXhMAYFAGyXNc5LyOpgdBEAwv/VFq+w5ZslnH76s8wezfLS9ooW3bywYOj1J9BgDfpnxoWgI0AKS06S/rp3tKN7u0Pcn0fq/lrrbTQWoXl5ydyjD+Zv+ZsCzWLSclsR4I+/OYIZy+omZqqq5Hsu6apkkQRD2mD9euuaTZRNF14yi1JmPO2D3vzI51g0FUfvjN1QBxY0b8T+y6ZlN1hJb3jGqb2631Lk/LdtW/ELUKi67fnOVU1wAAnZMthUrdQdkyyMcaAdM0XS7XCboVa5rG1fcOY5qmaZq1R8i8Xq/b7Q63TU3ThGY8roaQFSVlxrflQ0c4NTUAwIx//4Xb735pdTJ69cFXt6IH0+YV2Q5RfkgDAJomlv1+EADefeusad9sQyMTa9aWiwJVUqb27R0PAARBaJr26hv/vPjcaZrmy2sbv25Duf9NV/xZvuLPcpYhdSO0+n/oUBP/ukfjH1izwzRkEhMTbdsOKrlc+6T1+XyapqWnp+PzGYPBYDAYTDMEC9BNEKw+nzhWFikRrpozU4nFB+1z0sj1h5zuSXQko2mTgyRJmhPmFCKJpI5fVm158+o+ubWX/z7qQd/G/Fjetmn+hGNZNjmzF0Avn+NQAMmhfqn+9HNRrJsdMap9uNDiPqLGWJoviuSN+qnPCBSM60fTNA3A5ZKKLrpPf/nB+m0ziJoPpvYDOLdTWyBJKiVBu/OWLYUa56Iy07n4BD41J51ycSTPA0BNXL816X2Esvycqv8JdhVavYA7g/lxMv/Ss+rY11GCeVCShiiKPp8vGvexpmkMw0SI6TgWTNNkAkYjYkJVVUmSQgZYR44NMU2T5/lmPnlc9nqTv51aMWykU10NAPzkSeOG3PDi7vZmQGr5gVLts9fPAIBbn1xFkocvXq/X+9jDfVBmd8cOvCRJnToBACiKsurvyjNOSwOAG0cuzMuN31cYItc7nPoMADUew+tVRDFEnFGTAY24nOpeYDBh6dChw5YtW/bt25eXFzyyHsju3buLiop69OiBBWgMBoPBYDDNELLuJphGRXNz3Z5MHMfZ74s0ZrPooJMlEesOOcU+iKunOtQoEUURKHZOYVS65FlJ5rV9c2v/+iou3C//vDSm9+V7d46pfaODIIiQP1PDScAEAaPv6EzTBBnq1p7YLi3kWr0EzVE9UQ5cBTm8YkKW5dqJFpqm2em5fbbOyXzq9oz7b+y56mu2VYuYNps99r5e63/InfCMf4m+dbe+eae6dLV9071XDj9zwNCzOp3fO6NnJyYhEanPh6EYJb3rlo4Pr+74woaUUXuFs2ruGUccKOLeeiUxzY18qYHHX5IkFIgcZcfQsar34TpBuN3ucCKyqqputzvcirquW5ZFhjy3mhNerzf5mylw5MSgp383bus7HduIgW3uePqvW59cBQCFxb5Xx/Y5s18qw3CaprndbrfbjQK1LcvSdEMQBIahbhu9ZPuOagDYuata18NqzY890qP2QtuGO+6aezz3sEGC/7fBNGT69OlTWVk5bty4wG/noK9vwzAeeuih6urqnj17YgEag8FgMBhMM6S5/5JsSqCq8ae6F02Z/QeKIzdwAApkkMDo5VJIgnC73dIRRFGMvG5jhCAIQRB4UZq5D34qrtvwzRDOje35s7rmhfzpte7Cm0K/Cxc2NSK3W9foe9uUKCsrD7nccaBH95QBF2eEjOo1Qt3ws1iD0r3Rm5odx2EYpt4qZDgFU/Z6xcEXukddoVKQO++DPtvmthh1FRVXx1WTN+nZnptncZeepZg63a9Lry2z+c61nPVkFFMRSMpokVueM8i+cMDhJTwPAC6XC125NE2LoliPKnyyLNu2LUnScZcbkJG5futGcHB7PB6O40KK7CzLulwuQWjKTtso8Xq9qT/P4S44//BzRbl51lOv3Zrm/5At+/AFJQnUoEv6vf/OtQRBbMuvGvPQcsOweJ4nCEJVVdsib7tzyew5e6J837fe2SDwIc7nvQXejz5ZUu+pCY0F/B8OpsFy1113iaL45ZdfDhs2bOPGjUETX3w+39q1a6+66qoFCxbExcU98MADWIDGYDAYDAbTDMECdBMB5z6fBGSljtRXAGjNGhOeWDbn252Kong8HvkIpmlKktTEzIOSJP19iJi5z4mmMNlZqc4D57TJSA9twpU9HvtQVYgXKCpv2nshVyFcDFtXwZ+mSll52Izje+5f9sv8EOkcD43pVL0txPIM1oqynB1N0xzHIT9vvYvRqarqcrkC4yN4ng+Kg7BtW5blxPuH9lj1NYT/lZ426irXmd0DzbyKonSe+V7Xhf/l2mZSCW4ASLj2wghbqI3xyPOOKAIAkZCA9lGWZY7jKIryhz4jH2tQEb8ImKbp30j0PYkGVVWDUk2i7E/kBj6fz+fz1bZC67qOv2j8aJpG3393wisv+08wYsz9r1dN69b+qFGBlEQWAMrKDj393KrX3vyntEwd8/AfjuOgk4HnKUU1iw7U/c3iR1FDX61Tvtr1yy/r6rkzjQesQWMaJh07dpw3bx5N0999992ZZ56ZnZ19/fXXW5a1ffv2K6+8Micnp3///vPnz6dp+ttvv23Tps2p7i8Gg8FgMBjMKaBJyWHNFtu2NU1TVbWquqas4lCUchImVlimjqn07Xjt/ceXAUDvnin+haIokiSpaZosywzDiKIYzvmCBD5EnbXUTzmSJM3eZ++LQjlp5TJH9045q1OkX1wHN2wO/YJl7Rh8T8hX2nz+VrP1EKUkx8fUfuj1Oe99sHXK5zuClkuUTZh1JxRTFIUssT6fT9f1OuvvRQZp0OixKIqapoUTlRRFie/fO9x2Uq6/pLaWKsuykSDmzXqv87LPu/wyKWHkVbF1jqL1T79xAKjzLiBJEmnQqGwUADAMI0kSwzAej4cgCI7jorc2q6p63ENsLcuK6UZB07QgCLZt15kfLUlSSLu3LMsN/9Z0EmBZliRJQRDYPr1a/DLXP0vD2bPnpu+ffPocjaGPRD8rFgBkZKT9tmDUheen9z+rRWWl9ueqYpfLhUY1rhvcNtZ3p+nQp9y419etWLGlvvvUaPD5fE3e641pdBAEcd55502dOrVjx45er7e4uHjp0qUAUFhY+OOPP5aUlKiqmpOTM3ny5IEDBzbbf10wGAwGg8E0c7AA3egpLSv/duW28b/v/vDvkskbDn25uea9P/Z9unL3+h0F+Efa8SWzZWj3LqKjoL356HL0+MILMv3DAB6PUV5hIzuhpmlerxdNY6eOQNM0TdNI4/Mdod4Vxk4OkiT9UOCEjyo9TAvWvK1H0rAz8tx1ZQUcnDQtpg7QmekdBpwX0ypNibS01OgbDx/W5tvv9wJAjcdIAyXwpV6CFo2hlWVZn89Xp3M2enRdJwiCZVlVVSOYqR3HyfvvC0KXEPUqAaB8xsJwP+MNw9B1nWvTKrlTW758X3xNsSSXsVqwbk5r3via4via4riaEren5PCbJqcbX3xLDRwUGMBNUZQoipZlybKMPNemafp8PiTIRplKcSKGBgmCEEWxTmmbIAh0h1EUxTTNkBUIA0EfUMiXLMvCKRy6rmua5vEcTk6Pf/kFCLhjx41/a2zpF5eekwoAFVWHB3gkSXz7zcH/ee+6ywa1mjF7z+h7lwmCIAjC4GtiFqBN04EwMvSjT67cuGln/XaqEYHM+Ke6FxjMUZAkOXTo0A0bNnz55Zft2rVLSEhAme/x8fEZGRlvv/325s2bR40addynwmAwGAwGg8E0FmKevYtpUKiq+sm6sloDCUSlQSw86Px2cC9LwiUZRF7bnFPSvSZGOOtfS9bMYbXHH/rT/4vY/9tYkqRhIxYCQGKia+IH5yBTIfJ7kiQZ9BM60HKoKIrL5WqYs915nl9eWsevf4G0hnVLTYyPi3KbxoHSmPpwxoJpTSzPJFYee6Tzjh2e+b8W+bQ6xgG2bP03r2Pdgl0ZA7r5n0Yp4hz3H8ymadI0res6y7JBWZlByLKc89WrDMPQFK3m79l2w2O2drh9yWez0h4aHvkaQdcUakNRnjied0hSZ3iNi3N7Sg2f6jny7qIoxtUUAwA4jiNyjuMEun0ty3Icx++JDgRdzm63W9O0yPtiGAbP8+EKANYPtIPIkBtBypckyefzIet6NDq4YRiCIIS0uquqShAE2uBxHJNopOi6ruu60KUzldnK2rP33xf2FZ43/oH+99z3zIoEdJ6jxQRBvPziVUOGTgXHeePtdU882it/e6jooShAMnRtRt+z9IvJdPv2OfXbbKNg4449K0vt+y9s4kVoMY0RlmVHjhw5fPhwr9dbU1ODagCg0qOnumsYDAaDwWAwpxj8/1AjxrKs937fCxB2Kp8FhGrD7P0whD2YndnyJHatyXJWgraiinVTdg/et2NL5aRP8qNc8crLsoPUnMgpurZt0zR9MgXo6PVuiqIOqmGFS4ZwbmgvpKdFcouHePfWLX3/bIuyceYbjye0SKm7XdPl1Tf+9+NPhYFLrr06a9acwtotu3VNWLv+kP/pmtVlGQP8z5w6BWgUC1OP4nuRsW0bRT9HM4pgWUdSqjNTu/z9NW1a63rfAAAt7xka2ckbtHfIvwwAADVuUQ66HoOeIpNv4DWoKIooio7jhBRwPR4PKlQYIZ/EsizTNCMrxfXDMAyGYcLJ3zRNK4oSk/+aZVlFUcK9itR5JEMf93OjMUKSJCFK9PWDmSGD1SE3+pdTEye8TtMHC/tn57YJbPz11GHvvPfruvWHKiurP/18y4vP933x5dXHsT83375o1vSr09Ka7E3Sa0K1Sf53yebbz+uM0wwwDYFXXnmFZdnbbrstKSkJAEiSRPbnU90vDAaDwWAwmAZEs7YQNmosy5qwJN8Orz4HsrbkeHrumjO7/imd+eziL59a8vCDf4ZTn9PTeGQMZBjmjruWoIWdOiXGOmXYMIwT99MaBZjSNO0+AsuybrdblKTIBdZIkvy9NNyOOD3c+pj+ObGqzwCQ8dBtUbZMum1Ij9tvinX7TYnt2/cGqc8AMGtO4fXXZddu3LN7YuDTwkIvA34hkgAykrVZkiQkNR5Lb8NBEITb7Y61pJiu64pt9dk2t8NXr6XfNzSykhvh8qkzxlpRFEEQgvRxn88XIQHZNE1FUaSIaTPIWQwASJg4Xhc4z/MRzNfIbx7TBhmGqfN+hc4NURQlSeJ5vnla/A6fxgsWEuCQnTo6Xi8zavhRLUyzcMCgA9u3By5zudhRI07btVt+4JHVb752Vod2CfXuQG5uaIXruqFzN23a01RzKlI5AgBKdOrXNdEOW2IwJ5Tnn39+woQJoiie6o5gMBgMBoPBNFya3c/FpoHjOF8s3+qxov34ElzYInQc+HXBukmfbK+z2QXntUKuSZZlZe/hKeo52e5YhbwgSyNFUfXIkGUYJqRLlOM4iqJ4ngeA/xXZNoDHAH+CyBWZPKgyRVEMx1PgBKp1NE1XhVG64ihnwW5jR/mWkWflSDH+DMvu1nkrSUJdztCWL47pfX+0UnVT5Ymn/wi5fNFvxf7Hbon2yCbDENNn7gts07at24B/RWcSQuhTBEGQJIkc8SeuoilBEB6Pp37ryrIMHbMjWHT9bxHrloOul0D9jmEYl8sV+SpGmqwgCLqu146nkCTJtm0kWcZb2wgpl4OqckU47obo2rAsG/10ipjCbbxeryRJJEl6PB6e52majnVQoVHjOI7X66XPO5c/9xyXy0UQhKdFi9o33N2DrqyY+2PXLnn+c7JVq3QAcLvpMQ//Xloa6YgNvLjV/fee4XIxjz+1YP2GQ0Gv7toV+iKyLOfOexZ3aB/39hsDkpPrL3A3TNpkt4Z9ewGI1YeIjO17urePVOEWgzkJoJF7f9gOBoPBYDAYDKY22AHd+HAcZ+afWw5qMQwetE0I69rDRElBQdFLY9dG0zIxyYVUBsMwsltLnIuCqMN2AwmUz5DEg0zKUa7rdrs5juM4roqUJEniOM7tdvvtOYZhOI6zo8o8qDhVBtQYRymRBxTH7Xbv0rhZ+5wC71EqHkmSvjCapOUAAOytgZfn762srollX4GiqA4/TY7QgEyM67v2R6w+l5SWl4SRqyoqtFHDDxc088gmAIy8qa3v6E9r2C0d/Y87cnqQhsswDM/zHMeRJKkoSp2l6o4Fn893omsxxdp/VKbP/xSFHaPH6EGUY0iKopAkiUZ3AnEcR1EUx3Eka49jefPgp0z4I1E0jz3NHE335nkeHVJU2pSiKFQgURTFOsX6QCiKimm0zDRNNEalqqqu66gnse5C48W2bV3XDcM4fNCM0AN0zz6//MWX5/q/CCoqKgGgslK/dGBG5O2/8NwlycmJkiSNf/8qlyu2UyV/e82V186YNfvvmNZq+BAE0Tvu8ADP3L1aWUWwLo/BnGQ6dOhgWVbDrNuBwWAwGAwG00DAAnTj4/f1W7d6YhBuSHCyM+v4iYuJjG3bd969MORL6elC0JKJH232yAQA6Lr+6th+7719dvduyfV4U6/Xi/RiFLRqGEZIW2VIBEEoVp15B6jv99ory5zpBc7sIurHQtuwCY7jRFFEQpvIhs7TWHsIvt9ro9p16w45gXJSBFepm/7XyPnGosJY5b+80/t0W/w11No+wblyp759Sf7StOysmDbYJJk1a0uEV6d+veeM01KGDM6+967294xu/+kXuwCAc1H339MVNVCSD8fCMgQkkXqg9xadbKqqqqp6QqVnBKrId0LfQtO0mPxolmXZto0iMuDIoJEkSaIoiqIY0zHRdd3n86FsCpfLhRRhZA22bZuxq9PIvduVPgDg1jeLAlfX9upAlmXHcVB5Q5Se4TgOCrBWFMXr9cbkZI91YCBQQLdt2+Px6LqODlpM2wm5ZUmSKIpqLFW8bNtm27UL+VLfLuK8n/ZfeuVn1dU1APDI478AgG3DylVlkbe5Z89+9ICiqB9n31CPXr317j9vvh36+6vxcl63tv7Hk9eU6Cf+loXBRKBfv35lZWUbN2481R3BYDAYDAaDabhgAbqRse6fTcvKYvvUbIB3lu15d9mez1fublaTo48j075ZhSylQYx98bTy8hCH9Isp+UesiMTDj694+oneUQrHgaDJ3UFlvnRdj+yXpGlakqQ5+2FZiWMGaMsOgGLBnP3OTwfJefud7/faBEGsLKvbl206oNj/ClIRrNxZ7L/WP9uB8QvqjisJonWPLpeWrj19/U/ZP4zP+vrdtjMnXly06tL9qzpeNoCk8M0KAGDz1tBevycf7wUAtu2s+rt8+oyCDz/aPvHjw8f/88kX7NxVAwBvvX+mBjQAJNNWP8mH9EoAQNXkvF7vSdCdTyaO4zAME9MqpmlarqOGlGRZ9nq99QjCRnEcqqpqmuY4DkEQLpcLxV4fons4DuSyawvUjklMaS78fOxavCzLkiRZlmUYhm3bx+LFi1XnrT0oZVmW1+tFt6/69QEhiqIsy7Zt+3w+RVF4nj92t/gJxTRN0HX20Qdrv3ReBwCA0lLfhQOnbtmyo0unw6OS23fUEUTz/+ydd3gUVRfGz522Pb2RhDRCBxEBBVRAQJEuCFZEVCyAiPXDXrFjQcVCERAQBUVEEKUX6UiHUBMCIb3v7MxO//6YuCyb2c3uphBgfg8Pz+bunZk7s3fae899z4IfL4w5WSzm+XP7BdGwZcuzHxizuP4cdRoeHMfvbVF1qkqAvth08tK2R+cq5/nnnw8NDX344YdPnz59pXqv6+jo6Ojo6OjUkkb9LqfjQfa5nJX5QYSAIQWQDKhEwL7alf/5ljNXmMxU3yiKMvt77UxHr725WxQv8m81GXEA2H+gWFW+FEWJizPeM2pN0LF7HsoXjuOajrGq54bFattYYliSrQjeTWV5GXEyAoDFZ2RJ8csk1+Ym4pEkafISH+kUL3rpymcD9kAAAAzDopsmtrulxzX9+rTueaPBaKy/TIyXI0eOlmuWd2gfCQA4jkbd13z+nN6u8qFDUjKzKtdtyHnn695ZVBQANCHFdJym6Quyl9lsrqdMg75pgLf0QPVKjuNIwXkhQ2AdtVCWZUEQGIax2+1msxkhdAINltfusB3YpCiAgZSI7629tMqyrOrVU5uVqJpvQIuoqRddkePuuLIUBtoMhJDFYlFdwhVFEUVRFbWNRqM6XhLoChsGjuPIli3ETf9U/4oRqn4XRYFRY1bb6QuZgc0mYsDtSd7WeeRomfufzdIS33mzUxBtO51pHzJsYQMYjjcYCXExHf4z4nDK2JKthy9te3SuZuLi4lauXFleXt61a9e77757/fr1BQUFDoeD9YIuUuvo6Ojo6OhchegC9GUDw7ILMy4KlepkCyacWVTgy+05c7ad/mZr5pp9J8orA/PqvQrJzs7nfQi6btx3T+r3M28BgE8+6u4KP8zKogFg5Z9nfS3pN5ovLarEc7BM/iVbtgccaV0DN8eAexJCAGAlAIAuFkcz/KJ/W857LpudU61IpxZwHOf04sB97wNr+/dLeuPVzgNuT3rksY2fftQNAKKjjPfe1Xz5ijMvfXxzHpjDcLmbzZmEOdyTW0JQyfrqhAZ4Aw9iE6qdRZWcilCdG1XTNG2322XAJNJkKz9TuN8JADbI1RRwA0KSJJqmCYLw0yneHVcfCEK/VmO9VRm6+uFSQ6FNJpPNZqMoyt0UhSRJhBBBEKpfB47jrsWtVmt132pZllmWVQfzVLPyQJta3+A4jmEYHhri+QVJ7Mm7qLUr/rxwbfx2eg8cR+rgZXVKSp0VFRfd+vv0vnbmN72DOGvLyoVJz/we8GKNmL4dmjU1Vl0SjzuIbQcyLm17dK5aXn311U6dOuXk5BQXFy9ZsqRPnz5xcXHqyJwmV9J0BB0dHR0dHR0dP9EF6MsDWZZnb8+S4aI3zn/tRgAwYXIIHlhMkwyoRMQdEnbATs3aX1pYVFyXbb3i+GOlv++0P/6UJUnKTwtujYmmVOWL/U8u3LOv0GSy1D7IURAED6HKarUCQovPyMcqarlubZqYserh29fb2JVnYHv+Rf/46t1QD/GpU+x2h2Z5u7YRc2fdsnrtubem7Jn03FYMR/HxVgAoKnaOfnjd9d1iJKOlm4luBmVO2u6hPsOlE6AbIBgzOI2bpmmEYVarFc4ficzdFZCRtJ+wLHvulpcAwFZ2+kxmlKxgzZXfbVarxWKp5c+hJsQLaBGKotSEpVartTbzY2iaVtMhGgwG971Q/alpmlYLVUNnVSVX/ehVkRohpJo+WywWWZY1fztFUdQWqikiG5srtJq/UVi7/qJSqzV91R+vvjyoS+cozaUoCl+zLof1MrbEMFL/wYt3777I0aht29QZX9/iuzFpqRpx4v/uK50zb4vvBS8jEEJ3dUmLIqsO3foClHVOH/XU0dHR0dHR0dHRaYw0rpc3HW/8vutYhaitXbIyxmp+4TfLT1aOjdZ+MdYBgLXrcv2vjONInTauYjLiN98Us+WfwuPHK3Ac1Yni5q5im0wmhNCSM/Uo5ImiWF2TWpt95czjvoyorNSe9HD4SOnTz2+VJAUAioqcAHDPqDXqV3f0izWMGdf2wC80q73sJXQ4qfPg4uoEHWSNAColhGJbp6xZIEckFZPRddswAHA4+TO3v5v012vxJ1aeMo1q0eRkc/hdQZBnub6QCa3NtcLpdFIUVX2kwRskSar6b+2TBAiCIAgChmEWi0WSJFVTFgRBNcJW54W4GmY0GmVZdl3QVKN8DMMIgvCYdeGOqz7Lsmaz2WAw+KjcwIiiiJ3JJgYPFP9YWVVEUddu3Wi12QDg2+l3DRj0fUGR50H+6psD3mY2uJj03JZnJ5WPuPN6V0nbtmnh4VvLyrz+ygWFTpuNsFebFDNz9ol+t7aIj4/1c6d27T4+6/vDhUXOyAhD8/TQe+5qnZKS6OeyDQBCaPQNqfN2ZJWIOAAsyqicEGoLDakWhK6jU5+MHDmyVatW/tdv5Hb2Ojo6Ojo6Ojr1gS5AXwbsOXLiSGU9PqraRd1j1xdFxQHk8vp3b+G1HSJd6d0AYMs/heqHY8fLmqVZg84M5sJ95iZBEL+drV8t2EOgdIhKewu3rggAYHAKZNvhYInXZWftdzyKn2uW3LReW3j1gHvPxFhe7qlDxcUaHyv+i3nzsDEt0XnxEILRaOR5XpZls9msvgabTCb3TnvFEPQ0Z5qmTaHhjDW2IqpVk50znbe/V+c22bIs0w4m+/YpSeumpB5YsA9NbBVz2IQx8bDLYG5VrLTw0FXV4GhZlqt7U1RHNUr2s83qUapDRxRZlt03jeO4ZgdThWaPBIwcx3Ec561DmkwmQRBEUTSbzQzDMAxTe+uSOgQhJJ7LUdyMrZr+tsT6nyMKQmjZ0gdu7jVLlC4c6pho4/Hjfs1e+XTaobQ023UdW7tKvv6y972j/qpe02DAOE52OMT/Pdfmo0+OVq8w+uG/Vv/5gD8S2ISnlu3bX3WJLyx0ZhyrWL7irMVCvP/O9Z07t/a9bIOBYdiYbmnr9p/cb6dkQDN25TzTqyVB1Pv4lo6Oi86dO3fu3PlSt0JHR0dHR0dHp1GjhV4KRAAAIABJREFUj8A3dux2+1/n61dhlABN3Xzms81ZB4/peeQ1aNkigFiqqZ8d3LuvxGazuaI7H3moKijmrSn/1slcfpdqoH7wz566Vptzb3YpByUO8eEO5ie72JKjbTckWW9N9bpTsgLf7ak8nnmufpt41WCzmWquBAAAH77WZtSKj5gdB0GWWy36UI0t/W8lNqfTiWGYwWBgGIamaVmWOY4Lwji4ljSACWZt4ohJWQSAM30m57QcmvL3a/UhdKruydm9XxENtmO9Hv+m8PY5xYMlBYuEY7HSVtWngiRJHMdtNhuGYdHiNkrKUxOc+sb/8GcAUDdRi/2oAUmSWJZVd8dgMLjKGYYxGAyur9zRDMynKEpNSOh0Ol0qPMMwDd91NSFJ0mw2Ewnx0qYqjwvTrK/5k4fc6xgM1Irf73IvESXly897NE8P9WcTT07advLkGdefyUkJE8drqMAcV9XtP/rk6I8/9K1egWHEmbM1MiV6kJtb6FKf3XE4xKee3da9x+wNG/b70+wGACHUt2OLnhE8AHAy9sPWY3qSNx0dHR0dHR0dHZ1GhS5AN2okSZq2vYEMDSVAqwvJv/edzCkoOnjqbGFJqSDWdT67y5OxD7cPqP6n0w6Of2qzKhI5HI6CwgtxfB9+vK/27XFPF8bLXt+xMf8MmA2Ycl8LUwjuVQoUFXDJlxRF7S1Rsivh70znuiznzL32bWeZFpE1qOqz91WKel+qC8LDQ3C8hvkKMdHUh91LioY8AQCmFsmdji1n0YWegOO4Kk2KougejC/Lst1ut1qtDenI0QAGvqIoBj3T2eFwGJx2kOWSa+8AUGKOLK2nBrMse+amF4wtkgGgTCS/LRzCSNYwoqS5sixZWtWK2tjUlJUkr02WVmWYbi8kUtw1XE1Utdr/kG273Y5hWH07otjtdrvdrkY3q3lTzWYzjuNWq1VRFPvFaEZ5kySpaRLSSKRG1X5EIQn8ll4AgN/YPWbqC8Zv3y8vLXWvFhMTNfmFjurnxx5JFwUZAE6e8tfC/8FH1rmHxt9zd7c2rXyJ1/eNXqtZPm/+SdaLLY+LnJxy3xVeeePfO+/60ems7bSeuqJLuxYPtw81YEouh6/bffBSN0dHR0dHR0dHR0dH5wK6AN2ombH5uD/Vwok6CyQ8ZCd/Ou5YnSv/cKRy2racU+cCsD++UunerWXXGwJzgC0t5VavzVVzZN0xOFUtbBJnfu6ZwLRsTWiaNpvNVqsVx/HsCqGZkU8zCqlGPsXIJxv4ZAPflOJHpJJPdW+aYPTVMQyYcnMMPHljSlxMdKXkVXs6S8sXJG+SSqOcFAa5djmjWOAkuCXNMudAzQas2fl6oss6ACE0ZFCSjwof3m0Y/efUomkL1T/bLP/SXYWsitAkCMvFuPQ7mqZNJlN95NyrDkKoNvnu/ERRlKB3R5Zlkq1UM78e7zzOdn6vVakXlxJZlgmKbLv8y0FxUtcImVOwb4tudcpmAKAwDgMhVDmdxabOLBkULdqNBBYuHfYhheM4zjBMoNHlgiAYjcba7ol/sCzrcDhomqZpWhAEVW622WxWq0bSPI8FNX9N1Wy6fhobADiOkyQpl5RJ27YDAGqRrpaXvjLOQyK/e2T36ztHAcCM2aeSky1HjpZWXxsAGI3aT2hPTvrT9Rkh9N03wzTzDdbIV1/XkI3QYqk51j4vn+3Tb0FZWf3kwA2ciPDwJ29M6Rgm7yinDh8/fambo6Ojo6Ojo6Ojo6NThe4B3Xj5a8/REsGvEYIy8YJ6aMRkp1xn4wrLsvhxEQ6j0dgA6cIaLQihTz8esnvP8UnP1jxn2UVKsk1RFIPBsG59ploy8s60uoqgVMMDjUbLaxPXVf925J3JKZP6AsC91zdjWeeJU1krVp6lGZHAEY6jiChTaKTx9l7NYqOrVPU/9mUCeP19/y1FI5NNNE0bDIadRQpdKRU5q4Kre8TDt3vs7WLI/QU1KInHzpc1S4wLcm913Jg44abf/8jWNJZ45v7Yoqdfcf1JRoV7+DAYjUaapn2HizIMoyrU9Z3YTVEUgiBqb4leI7W5djEME4IXVYbECpEpAIDJgtUaXudm0AAgCIJYQVPhIZEkAsDCcfGX0t6jolZwsuk8n3qCSzzJh6SbBFGUCKTYBVOMsdCOkgRBlGW5utuGbzXWYDBoHnZBEGw2m3sO1QaA53mr1cpxnN1upygKwzDfrimavRfDsMYQBC1Jkt1ut97YTVx9jbBrdySbCwAKhpHZJzPX/NnstoGumoqiVNqrrpmHDpcfOvyv5gpdThoeHD9RmZOTn/jfFRXH8e9nDhs8bFH1fIO++e33s08/JZKk17tSVLRf9lOKAoPu+GXR/AFJSU0CakA9gRDqc01aN4bZkHE+JqI4Rs+xrKOjo6Ojo6Ojo9MI0AXoRgrPC2dpOYgQ9TpUn1W++bcIACJJ+d7rEow1Tf2+gpk3XyOVkzfatA5v1TJUjUM8dqIqNOyL6YclSe56Q4zmLPJAMZlM45/Sjl97cnxPWVZOn85euuzU7j2FuXkaYZuL5p5YteIBhFBeQcEJukaFDhmNRoQTIPGlTpAVwBA0McHmXIg0QPsYykSi7Tm+PGc35cj9u8h62vfaYzQav5rWc/zETe6Fdw2Nb7H4e+fTJ9wL266czlaTJv3R6URRlCTJ/xR2QeNwOBpgK7XsdTznxCRRDomUMTx+y7TzNz1tMITVuW7udDqtkWGqmhxK4GUimUQ6vyy6EwAwABkQADSzIppmrVbr3/YWY6k/4rB9CgESUCVUK0BEJTQFQKIoqq4jOI7jOK6q/AAgSRKGYQghkisyslml5tbVr0I8z/M8ryb3q9u98w1N00ajkaIotT/wPO+KaJZl2V2PpiiqerMRQo3nwkKSJEII69QRdu2mju5VMJx/fDL17fvk56/Zu95sCwmRZfngweNzfjhyzI/Egz5O1g8+3v7VtGGuPymK+nxqz0ce1xiPjI835eZ6jdzPzi5IT0/w9m1MdARFYTxfs5G6osA9o/6cM7Nvy5bJNVZuGMxm88BOzZ31P8Slo6Ojo6Ojo6Ojo+MPugDdSJFlaXTXdEEUj5w6s7ME2b07JPiDAVM4uVYzlEsE7JtducNTqeREry+rVzC5uQV792nMksZxJEkaIsHrr3R2BRKOGd1m954qpXj6t0dvvimh9gI0Qmjr9sLKSg3N9/FHWxw+fOqpZ7drNsxFpV14651VN1wf+9G0I+Pf6pbt9DXVemeRdEM08Uu20gT4Ug4A4MFrLCSOKBx9s8d+qMDZPtbgW4AGgLLDv0ZeM7LmfdOpiWs7pE+fJk2Y9A8AtG4Zctf5vx2v7q7epfBQK7hpuziO++PEbTAYXDnubDYby7KXu393LWNjeZ630kWVoU0O9/vgmlUvJP7zWdbt79VH4DZN01arVRCEBLOJs0tlitGMJEYhVPGvZ6RI03bVpKJDNL4Nv/tG8WcCCQTwsXAQFIiFvQCg4IjDQ/JKIhPt23BJlR0RgAKAAC7cA+jUFhxCmkdGlmUcxxsgP6Q7BEGo4xA0TbuHbxMEYTabXUMUTqezuj6uKEpAGRfrFYIgSt/9QDx2HACQLLOfLKBp2vbpQtMz991592KOk3hBdsU1JySYz58PUuvfu69UFEX3KTWtW6c0bx5y8mSlR00f6jMAHDt+3ocAjRAaNjT15yX+Glk8/OjaFb+PCA/3K6Fiw2A0GARB8Cdvp46Ojo6Ojo6Ojo5OvdJY4oZ03HG9TpMEcW2r9MdvbEaiWmkotVSfVSQFLckUZm873RgmOzcwX369R7Pch8irJgrDcXxCtTjl2r8MG43mb747ovnVdzNPTJi0zbf6rLJ6bd6BwyWCIE97eesNZo0o1FZmfniifEcSCjNgv5+VO5od+4sAAHomURYKA4CvdtvvTgcZMAOmRJl9XUzuSmXi5aPU/rdLi/L92UEd33Ts2HLz+jFTB4sDF0xxbNhdvYKtawd3DdFoNBqNRn/OXEVR6P+w2+0EQdSrNbDT6Www1+mgYVmWEDglJOpUp0cBwFSYUU8b4nneZrPFY4yEkU4FMQqBIwUAkk0iEqqGGBiGiQJBooybzWM2UGO24PdnOLtKStXZh0AxQgVuxAiJQaAgUBDI//1/gWZZX6cwOzUDh9VfpJ520BvuYc6KG4Ig+CMuNwYDaACw2Ww4jotbtkJRMdG3NxKrTDYEUVIMRgxDqvpsMRNvvNo5PIwaPCDFn9V627mVf+73KJk+bUCgba7xkvDk+JsDWBvAsJFLfZuoNDySJDW2Juno6Ojo6Ojo6OhchegCdKPDY9IxAAiCICiN4gUbAMpE/NutmZUN6xN6aRFFcdPmwGTTN97eVVjEqbLI/Dl9YmMuCDr3PrCmlnIbSZKPT9hcmzW4cOnUL724J6W8kLh4nOMYQy3Nwf44Kzsq6ZxC5q/sqvJNZ3lFUWQFcAR7i+FgofDDYfaethYEEGfVCNVvGyF3x/4EAARK3PnvKspK6qTxVzmO8or817/W/MrW9Zpms99k2arIR4QQQsjhcPjjhixJkns1p9MpCILFYqmTNldHFEWWZXmet1gsjcdIwQNJkgz2IlzkHM26Oc3RcXvnh5JKfai0PM+rfhRdLXRbm9Q1xHlrtHR7jNjKqqgJGzmOoyjK4aDjnSUAioKTAmXOC2+/yfTwPq6P/N9twkzVHFcbVnnAYq7aBZPJZP0Ps9nc8GodwzBms7m6jmyxWFzjKGr38OYBDf/lAKznlvpCEISK9z8CAPMz4+NzdrqXywmpbz0YosY+f/JR9/Jyrqyc/3amX7ZO3jTiD6ce8AhUt1otjz7SUrNyaIj2kfl+3knf41I4jn/5WTfNrzQzH/K8vGDhVh8rvCTwPH8VDpzr6Ojo6Ojo6OjoNCoa6Qv/VYvmbOK6enGKIutmKr1DxmfsKy4p1bCkuCKx2wPOxnb8RMXzk3eYzRaapkkSKyi8MAlaUWDRz6dqE7JnMBgcjhqS/vmJe6D0518cXfHBlrCz55MNfJJBSDYKKUY+GTGhguN0BYRQ0DbiwoKcBLIsW0k4VgYJFuAl2HjabiYRVU3hNBHwYPjfrr1FAFHZ31zurg6NgQ1tB2mWm1qntpg7xaU+qxkF1T/97HUe1SRJYhhGNX+oPxwOh9lsro8114mcyrKshSkDhI7f/g5vCE3a8D5eeLI+GqwoCsMwYRZjDMbhAmu32x0Oh8uDwmg0iqKoKApL2xOYwki+wsRWAAAgVBaWttH48En+OgAwYn5dspLPzLLZbGazmSAIhmHUsHeGYRrYA1rF6XR65GilKIphGNfPZ7FYTCaT5t1Qta6WZdlwSbMUEATBb/4HAGw5Ge6nkCRJcusO8XPft1kJAHjiyc3TvjpUJ1vc8s8RAFBDxdUj89CDN8XGaExZqKjUvmUUFDizDh0oKy7yYbrSqVOb0FAN/TozS9u9/duZJxrhFb7x+LTo6Ojo6Ojo6OjoXJ3oHtCNC01rUZIkCSSLSm1HC4qFqp8bA0XNalUL0I9HK568MbyRzH2uVzguyHfpTz7fP+6x5jzPR4QbSssu/LLrNpwfeWdK0Days76vMwcA8WKnDicnz517EuCke2HTRPOQB1s7JJQeio6UQpgByjlYe9qBFKWCBwAY1sa29Zwzs0x0CIqjwlPFeDr1sEG+SA7DQCo5vTW2Zc+62ourkDPHTsiV2iJjzH0D3QVEiqJc8qU/Z6uiKNUDpVVfDqvV6i4I1jmKopjNZlEUq0tFFEVJkhScMXFd2RnLGAE8ZxYY6d5PlbmPpBz44djNL5EkpcYm1yGyLLMs61JjPQ64Ku0piuJwOAAcVpIMk5gKYzhDGAHDzoV2Oi+2a8Vv9idknZTo9FOfZhp7yYnXXXKPAlmWzWaz62BaLBZVkiZJEsdxu93udDq9eSmoqRcBgGEYiqL8lBqRFxfs4LDZbI51GwAAzCbDoV2AsIo7H3KptmLvweTKn75vtnrkgd51tUUA+Orrw1u35638M0f9MyHefEuv+DmzBg0Y8oufazAa8aSfX0cACqCytI4wdHx4VEz1aj/+cMfAoUv8b9iKFf/ecccN/tdvABRFkWU9Ea5O3SDL8tNPPx0fH//iiy+qJWryXpIk9T6mo6Ojo6Ojo+MN/TmpEeFNKEEI3ZFWl6F2HupzcBIyJ6OM7Lw6aU8jhySDPE3O5zIAgGGEu/oMAAwjesT6+Y/FYlm34Xxwy1aH5zXUnFt6xE9994Z53/X64uPus6f3eO+NLmEc++Mne1lOIg5lN2HtAHCmUsn6z4Vlxr/25mHY8FZmAMAQhLvFIN6Xao+Tj1XfRCy7q6524erk0IBx3r6KHHGrS6TDcVwd5zCZTCaTye6Hc44PSU51h6inIFOr1cqyLMMwoiiazWb3gGur1SpJkhrKHcSa6yoYE4l8p8TIts2SQ0PDSpJvRgCtt7xfT+7VapurG0pU/3UEQWBZNtRZhitVtw+ZMBwN6XuwyRh/tFUFYP/w947e+pD7sb1UccQsy7p+d47jSJI0GAwYhvE8jxASBKHGoy3LMkVR/vQT1dw8uB5VPfKdoqjSN95hli4DAGBYQAgUGS8vQWXFagX1t6HOZ83vczyILXojN491qc8AcD6XWfDjqQFDfmkS569v+7sT49QHAARKSObekM/G2qc9Xf2UCQ8P+Wmh9pQLTaZ+ftj/yg2GHgStU4dMnz79p59+cv+za9euO3fu9LGIjo6Ojo6Ojs5Vji5ANyJ8RNKlJMQ91jGymYkHUHCkhBJ1E9OnEnQM2KmSSzBTu+GxWoM0wC0uZk+dZkeNWVf9q8W/ZgYXPH74SFlwjdHE6bzQkUJs5IJZt/wwo8f9dyWFh2GC4DRQgiiyDMO0aB4559ueH713cPM/hUYKA4ChTaU7k6uWTbbB4mOcosgTOltvSzO6xPYok3I99rfmdg1Qj4G0Vzwcxwl5xZpfWa9v5y6yGAwG1dNZlSn9WbmiKD4CuBiGUeOUA22zDxBCNpuNpmm1S8iyrNpBWK1Wi8WifiVJEsdxDofDarUGar6site1byfDMGfOnFE/Nxk6iTNFAEDK+nfqKUmj0+nEcdxms7ncmX0YHLMs28RZcsEtGKGSyJYb27zD4OE1bQcpTk4oKD507VCTDFar1QyYP17h9YEkSS6FXY0lZFkWIcRxnMViUbtxjSuhadrhcGhK1SRJUhSl9iuj0ciyrMPhMBgM6kH2v504jquHyGAwVP00Tqe4d59yOlOtwHbqAQDWtcuMb09U1+y62occ+GfenYX+bys48vKd/lQjCNR51wyPQnNhJrwxPPukp1Ce1DR27qy+fjag0V7dg554pKOjieuSlZubu3//fn9GeWtPWVnZ0aNHjx49Wlys/SSgNqy4uPjEiRMnTpwoKCioq5lAOjo6Ojo6Ojq1QbfgaCzU+F4UYrMN62Jz/VlaVp5ZULa9GDi5Lk0wcASS34J0AXfl+28AgMFADRnUdPmKc4EuKIrKBx/v1/xq/fqcOwYnBjp532QyffBxwPE1FIVpRjoDQMaJCvXDbX3iR92d7nDQFovlz9V5/frEWq0Wl3WDOhd+xpc3qdLkrHEbt3FyfJwpZVi7VuFwrAwAYO5Bdmx70kaR7aLJ7k2pWXsdr8Qv89Y/JCAkUcTqJ3r0iifniEZQuUqLWW85+AtXElUmUxQlIKsB3zOIeZ6XJMlms9XJm7bRaEQIaa5K7X4eqitN0wihQM1ACIKofRy0oihlZWXHjx9PT0/HcZwa/QV8NwoTnPU34drpdDqdFymJGIZ5s5igabqJJBVaYiT0n3yMETtbvZCcuymtTHscCADKDWkA69XPQmGJfX9GWI8urhNfpW6tKryhSrQOh8NkMjmdTtXT2Ww2g6LYbDaHw4FhmMFgcDj8srf2OEpWqxUhxLKswWBwOp0URbnWw3Ecx3EBCdAOh8NEUZjZzLNs0ZA7q1co40zqEA0CML34EHwwx/0Ahm36Y96IoY/9EaPmJNRk0MDEPXtK8gv8GjQKmlcfjcEOa5wXCCBx7gvnR76ccG1X9/IWLZJnfNPzsXGb/Fm5RzpTP+E4bsasrYt+zlL/HDyw6R1DWrZs2bSuzjJFUYJrmI6OB0ajUb23NrATnSAIU6dOPXToEACMHj16xIgR1evQND116tTMzEy73a4oitVqjYuLe+mllyIjIxuyqTo6Ojo6Ojo6HugR0I0CWZYDfcOPCA/r3Cp14k2pYzuE35NuHNMutGNYrYKOQkjoFo3uTMb8f5SuEHGGqd835EbC/57vm97MVnM9v7m+S2wQihhBELLsVz+hqAuntjf12WTCHQ4JAK5pFzHm/lYAWEmZsm7juc1b8x+ftEuSJDW4Tw04FUXR4XCoqs2sr3oAQEGREwByHQAACKBHPGTa8SUZzOEiYe1px5vp/0iYdpxsvpIy4O3ke0YtcRcQmcrKsry8ohMnKktL9eBo35z9aI5meYftCxjhgujmihgN9NpS4+u0JEl2u732aQmtVqsoir5Ds6sbL6iG1CRJWiwWP9/8CYIw+IfNZlNtRrwhCMLp06dFUTQYTRJOAQAmNdy8ftWYwtu3LMtiysXnDkLZCb2OxNzjbZGjuy+srWzZOmv3jh7qM4ZhVqu1TkLIfaOqJCaTCcdxq9WKYRiGYaAoEcJBm5gJACaTKSAVUl2J60+73W40GmmaFkWxepZFjwPro18hhCwWiyDLgiCUj7hXs4645FcxsspJGXFO0+QxGIBitjp69FcLQ7b/Pe9Fc//b4jQXxzCY8ET3Xxff2+/WeD92NEiMRqzX8fk+KsQteS/vn789rh7t2qYv/nGA2VyzgBuEyMuyzt63LXCpzwDwx8pzjzy+9qZec9auPRjo2rxR56btOlcnqampeXl5e/fubeAnlu3btx89ejQ83OvsFpqm33333b1791qt1ltvvfW2225r0qTJiRMnXn/9dT8H8HR0dHR0dHR06gk9ArpRUBtrwrDQ0LDQUADoExF+amumXQpmUIFCSqdIbGeRcrJSUQCa2wBD6HhlzboVL/BmCGxG/OUIhmE/zLnr4MGshYsOl5XzZ885KiuDfIl9cly7r745bDLhwQUVmow466x5KqWm6HzzTU0OHylt2yZ82/YCWVaio4w5BU4AaN8mYseugm9mZzRvFvLis9eYTUR+oWPp76cLi7htu4oH90+6Z0QzNRJTFEWapi0Wy2MPtZox51hHjN7HWwFAAdicCzhyAoCJQKOjtxWG9weA5qUXSaUKwPKzN749NRtABIA9R0+W4xaLyET8byIUFLiqhb/zZGTu7orUm0N73u1DbrtqYU9ma5bjYTbF7fXSZDK5xEQMw/x/SfZT1VV7gpoazs81u8AwzGw2e2id3iBJsvoVUg1cVeNkPcKEq6Moip9T7/2pxvP8imuHMEcz28x7oU3pn9bCo3RoC39WXif4uFmYzeZyTON8KYzpYLJGmcxmQDjKWhNH71HL9zM98t98y1WtaP4yiWHiXn7C/XgSBMGcyDI1T+E4rl6VO/VMx3Fc7X4W/jSGoQhuP4U4AKg03yMIQo0/tAu1a1mtVpqmzWYzwzDqZ5vNxjBM9R4rCAKGYTabjeM4SZLMZjPHcaIoIoRclQmCUEfj+MysivFP4QNvB7f1oObp4f26EUW5eGUZn9jM3jQt/Mevqr7iOeP/RoMsWzavAgBm5OjksJMku+Hta2Fi99Yfb2i2YdOFqx+BowXzBoSG2gDgjdf6PzQm77kXNpzPrfuB3udGReDHa1htzKrp+XRZXL+73a8JiYlNVv/54LffbVqw6LS3Ba/tUKP3iwbzF+7wdld8/e3ds+Yc/Wpav6ioYNbsAc/z9eTernOVgBDq2LHjggULunTpgmFYSEiIOpI6fPhwPx9aioqKAh3YUxSloqJi6tSpN954Y0JCwuLFizXrzJkz58iRI5GRkdOmTVMbI4riSy+9dPz48bfeeuvDDz+8GpKH6+jo6Ojo6DROdAH60lOHb/VRBrAHZcvMK2hDvgIAjAQA0DESq+CVsw5ga1KWyhxcWGgwW7wcadcu+aYby76ZcTho9RkAVPvcHbsKRgxPDmLgASew/zJa+UX/fkndusYmNbUSBHAch2HNDAbDk+Pa3zNqDUFWvYQsXHxK/VBayp04ZV+yLLuo2OkSAv5YdXb9ptwmceaXn2+nTsZ3OBw9b2qCYWj69AwCR+3bht02LG1LISYpgADuaWfGaDG5bNFJvOcxok8rscoCm0GhY79MOH6iSjxNiDefxiMBQJb5CDf1GQgi5swmXBaiM1YoGSsLR0yNaZIQ6FG6suHPa3nIIqQqaK4Cd7PmgC4y/r+dqoYJsiwH5KyqZpbzU3323R6GYdQQXafT6WNKQd2+byuK0vrXz/5tNeToQ580m949+tAvJbe80WBhlT6skH0ECJtDoyLCwwBAibo/Z68lsWLTWeuNp4e/5VGt9NfVssMZ/+7TLqmX53nKbFJzANbRHmhgtVpPjXmR2XeUSk0ERUn+ZnLz8F0AFzLkhkmnKsjm/g8kqKj9EwBcyQbtdrvJZNIMupdlWf0Wx/GSya8oubmRM77mdu1B13cmSZIgCPusOYW/L0dhYcA6AUBa+ZdrWbxv74SC/WjtUvVPKsvTQBmJIgAwt98Zn1IWz+93XcKjmYyPbsjI7dnupSVxRzMqFsztn5wc6x47nNS0yeJF9x4/nvPWlK3ZZy8ML905LPnfvSVnsv09iR4b23z+gkzX4CVFYbdm/ejPgjFbfsyXxCYDR7kXYhgaP67XXSOvffvdjXv+LfFYJMRGfPn5UD8b5s7CRZk+vj17zjFk+NInHm09+oHuQazcHXXOmS7D6QQNQuiVV17ZuXPnyZMnZVkuLy9Xy+s7xPi7774LCwt76KGHVq9erVnB6XRmZGSQJPn666+7pHCCIF5++eWHH3742LFjubm5CQn6M5WOjo6Ojo7OpUEXoC8xqiOtH43MAAAgAElEQVRhXa3tlmbhWYcqar+exWfkeDMa3BQTZOX3s4qPyEkjebV4KR49euqx8Zv9dMDwwUefHAaAqR905/mAxwpkWaZpXzKQwYC5fEUNBmzOzN4M41AURRBYVT6SZVkUxfO5ImhFSecXslM+2ld9tU6nZLFgJzMr05ItqukhTdMdr7HOn9kz40TFex/v33fw3wcmd+6aZAk34X+eZFKjEKU4W4gbcahS2Lcxt056OUOWK13rHPPazVV/eJi+dOuGy0XqRwRKzC/PFdz5cWx8Uz8P0RWPLMtyhYbqZExJkGW54SfYsixLUZT/EdZWq5Vl2YAueq4gVs1vZVlWHTnUEFf/V1sbBEGIuuf24p/+ygu/LiVvnZEkGkyA9qaaWSyWHGO09+UU1+IxnYYVlty4u0U/zXrlf21WRDFp6mS1L1mt1uP3/y+0301hDw+vvY+2D5h9RwGAz8oBgJMDJnXYfpG7RTS/p4JoHmgGOUVRWJZV/crd1Xm1uxqNRo+QatXUheO4kgnPhD32UPmvv+FFxVinjiaTqXDoCOA4AFCKNLJ+EW1bo5ya3fkTk4uNfFm5uVkYc1HscLzz8NzBh08+PjI1TcNzAyHUqlXTRQvuEUVJliVFUTAMJ0lizdqDb7y9289DMWfeqXV/jz59OvfAwfNzfjg5/t5Y/Ii/UdUx2xZnJ7dNbtfRozwqKuyLz+7geWH3nhPbt+ceOFTaLM02eFB6x2vTg7NsFoSab6/fzszIPlv56sv9aikfcxxXT+lDda4SWrVqdeDAgRkzZvz8888OhyMvL6+oqCg1NdV9GLgOURTl4MGDW7duHTt2bExMjLdqNE2fP38+KSkpLu4ih5/w8PDOnTvv3Lnz+PHjugCto6Ojo6Ojc6nQPaAvMXWbkz0iPPzWaN6lNdSGMk7JY2QSQy1CfL3mmagr3yFBUZRpX6wb+8Sm2qvPKpOfb4vj9ZLUyz2r1Xtv3+Bw0NWNPmw221tT9gBAcXEN89lbpFmu7xiGEEiycuBQeUpTk8lkslisrnBCjuPatgpfOPsWgkByVtHCw8z03XYLIRfhzUWFQIqULbdfYx90y6upE1/McNcnBw1IqMSqXv5J6SLlLnTQRWmvEMCOQ7m/rd3XAGnQGgOKovh2hMcwbGD5rur/+uxbum5DrhrvWUsCdbTked4Vau0bVSMOYsitRj9ZQRBUSxA/W1JLOI7DTEYAyP23GAAS171be0dsP9E8FGpQudcrtaKEXKyJhEXGNJv9nrfqFWu3Hbp2qAkworDsYIch3Jmcwu9+qle1zuFwNJ062b3B/+6/SIpFAGnML2ouwYDWjOO4qpu7ejXLsqrNtNPp9PjVEEJOXliTI2+utEJEhLBgkfPvNRaTSZIkLDLCx1YMcs1iruPZl4xCGQCUpg1Xqj16IYAWuUtk2depQRA4RVEGg4EkCQDo3q1ZjRt1IQjKjJlbWrZMumtkt1V/jO56XRPNat6uO4mL3ijM0U7DS1Hkjd3bPv/crfPn3v3m6wM6Xdci6ISBsbF+9bFVf5+fOWtT7e8IerIBnVpiMpkmTZq0devWffv2jRkzBgC+/vrrff4RqEl6fn7+lClTunfvPmjQIB/VcnJyFEWx2WwGg8Hjq7S0NAAoKfGcsqCjo6Ojo6Oj02DoEdCXkvp4/+nQukXzZPZ0bmG2XbJRyM4r+SzgCEJJJZMJ4HmXlWBLISSYZYf3oDcESoitgWSXS4WiKFM/Xfvb72frcJ3XtI/1Fs7pG57n4+LM+flel0UIXG/lcXGm6lshKbMgyGodp1Pud3vCmvX57hVapVteHijHbPgR51kAABbkdoaPQ8au3Vr2+KTdXTpFEDg+4bG2amVJktSY07nf9nzmxR2vv5lYaosDhM6VkHdPUhNJlQKUVm9np0GtXaUG54VGKgZDwrE/3GuWh7eYtakSAPZnbXtzbPcreNI0XVZ+5NsFhR/MVP8k0xJTP3yhed8esiy7jHFVQkM1XG94np89J6Nzp2ii1nMSglB2aJpWMwr6cOm1WCxBRyjTNO3NOcEdV9AuwzDuV9f66DYR/W8qnLOMyy1V4oGQnKjkjDUypQFCsKvvC0EQYDArigigXDCtcK8gcgThqcu3uaN/wS1L6Q27vG3oyI0XpS6s11OPJMlzn17kF5817pO228Ya0YWIfkGh6AULbQ+M4jjOT/Mim82m6bQgCIIasS7Lskdw/cKTsjowj783RXpiPACUjn0ics7MsI/fL71/jNcteT9lZMrgHDvebGKbl61US5IyvipsOij23PLqlYt2/xZ7wwh/dg0ALBZLXKwpv8DfQOYFizLHPNjVbDYBQFTL9pw5jGTKPer4+I3DZj8vvbIQr890lANvT/x+3il/as6dfzox0Tqgf+fabI7neT0IWqf2IIQQQhiGqf8HPQDjA0VRFi9eLAjCiBEjfK8/NzcXAEiSrH7dU8fbKiq0Z0muXr26+iuJOoOkbgNl6hZ1Tp76mef5+jj4DYa6I6IoNuYD7g+uyVKCIFzusSOSJAXqMteYuQL2Rb1MXQEnu+t6y/P8Zf1uq16EJUlqtF1LkgKbvtnIL8LqG9DlfmnVBehLSW1yD1ZU2LfvyPr9j1N5eQzHybf3SxwzunNoaAgAmM2m9unJ7S+uL0nSZ1u1I5i8QWHQLRrJkrQ0R/sqn2KSLusbgD+8+c5fa9bm1u06gx54EAThrdc6Pz5hs7cKrstR925x1a+eJEm+/uaus+cuaGRhNsLtW/TdQ9B080z4+6KlMIGbXDJ9PbpPVoBllZefby+KohqKKEkShmEORtyzt7jTdRFOa2SaVC4BKkHozmFpkqRwnLR67TlJuugqGRNjLMUvyGEUY3d9RneNAPj3wu4AvJB7i5qxcG8Ws2LjwcG3dKjxKF12yLK8863Pij//wb1QyMw5MXLSif/+tPbp2vztpxPbta6+uKIo/2w7OvnFzRgGRgNWe5uE4PonTdMURdlsNqfTWd2Pwmw21ygf+wDHcf+fBlRHDrPZ7HA41Gj9+rhPU7GRAFCyYNXh3i+0r1yVsnuGSJjybp5UKRH1F1lJkmT1fcEwrMAQ5kM8DFG0bzS9ls5Y03UYdzyrLpsYIBRFSZKEVTr43IudzRVl+3cFtzxxYYAz41+rvHhW5Zo1IT/MoyiqRq2foihX3kJvFi4Mw+A4TlEUz/Mmk2nT+aqTB0MgTZwEAECSIZOfBwAiMjJ61fLypcuEmd9XXw/yPutITExJd64Dt3EZQmJjzy13kuFqQLQ7iUVrWfEO/1OTffPVbcNG/u5nZQDYuDljwO3XAQBCiL73lfDZL/i/LM6zZT99HjXqef8XCZRBA9v5KUADwJT3D7RsGdMsLak2WxQEQc9zq1MnvP3226+//nr1uOM6YdeuXevWrRs3blyzZjXMe1DdqI1Go/ZQJYC3G/Ebb2hkMoiPj4+IiLDb7ZqLNDYa3oKsPlATLF/qVtQNtXnqa1RcLqdAjYiieGXsy5Vxsqs0mHlgvcLzfG1ErXqF5wPzSHQ6nf7nPG941LbpArROkATtGVpZaZ/y/sZ/tl70uv7zkqzFv2TNmXlbixbabrlBKMV94pCDphFCrUPNGVoxEz3SfM1KvgLY8s+hOlef4b/XgOAIDfXr9ebJcW09bs8IIaPR6K4+A8Cef0vvHNq0oNAZGYo/VrGQ2lzg/q0CUDJxWtjC94nS/Lg4Y26e80hG2X0Pr9fc4ttzhyXIFaIo8k5npJEaMihREASE0AP3N9+8Je/bmUddNR8a355xE8sqwmNd7gDRaUZwizXf0PF/eX9emC46Y03hoF5XWuYoR6V9c5c7xHwNY1l36HU79q275+QtN/T49RtXoaIo/2w9/Nqb29WsmDYraTQStX+SkWVZzTYZ6ILq84fVavW4uJlMJp7nayPLYhgWkAGxGuJqMpkQQvX0tE1Gh6sfjj/8MfHL661zliJFbrJlmtDn1fp4MjYajQRBsCyr+aiKFEXxfl6EEto/JUKo7/alG4Y8wvyzt8YG2Lfvg3bp/jfYHwiCMBgMmePesG/VaEDJ3OWljz0XgeUBQEZJO+njVwBAKSurfPgRsmcP6+jR3p7azWazGo7heoJUM1VWfz5W3VrVHoLj+Knyqtf+wbt/UQQBAIz9+orJSU67HQAQQpaWLT1jhqvw2rfFLl0BNIz1MUW7P5ccXB173QBva/MgNjZqYP+ElavO+1n/t2WZqgANAFFpLcuT2tvOHqpeTTuQHiA8Y3NZ7t3h9ebIHxsbERVlKC72V3wZ+/i6dX8/WJtRcEmSCIK4wu4pOpcEiqIoiqqPNRcXF0+fPr1Nmza33357jX1VPR00fa7Ue7q3NVzub7M6Ojo6Ojo6lwW6AH3JCC734KKftn/59VHNrxQFxk9ct+avBzWfLxFCsZRUwAcwP99KgkJYnDLKKNZ4MI0k5WiftpiXOxzHTX7Z6/x0TTp3itjzr4bjhAdLf8scPKhpcDEO/rwkzJ7Rq7oEhuP4jp0X6csxMUZBkJcsOQMAM15LoH6v+lYhqOJnv47+aCwCiPpyEgA4Utp1C2tiI1F5KZ9fyJ477zifW6XsxMYYJ73SVbGFiBh+EotoBqWq9KMaGSuK4nA4evVM6NUz4Z5Ra9RF+LhY92awBovrc/TZra7PJU2u+/RPT7PCIxkn27VpUeMRuFwQBGFTh4FSqb+JQ+kNO9f1uHvAzmUEQezadej5F7fR9AUZy2DE6yRNnOpaUMvXUYqiSJLEMIzneafTWcu1BacQsSzr8iuvc3hRNHdpKzOs80jmkRFvm/9+MynjFwSQ8M/nZ7tNrMPBc3UXfIjagiBYJCddzWTDhY8RLwzDblk+e/P9k+yrvM6rUDnzzPvtdyyuWzXfYDAc6n63THv1FNr97u5+ryWedrZ3jH/ZVagUFQnr1psefNCHK4tHuSpV22y26gEarsho9y6qLKsKK7aOf8J15CmKKn9+MmiBvPduLDUBCi8SoBlbWl7KyGaHPtSsH5+3UlT6+9/hX/zfrStXzfWz8pGjFe6eJNaH35TfuReTPI+Jj21bZj4vv7aonmY+IYSmftBzzNjV1b96540Or711wKOQ4+Svvtn01IRbarNRnufrKWpV56pFFMXKykqapjmOUxTFYDBYrdbQ0NAggg8URfn1118rKytffPFFfy4L0dHRAKBu16O+OjDsLUfis88+W32QeOXKlQRB1N9ttE5gGEa9eptMpst6UqaiKAzDqM9Ol7ottUIQBPVWazQaA/U6b2xwHCfLcp2kV7m0qE8yOI5f7sZTsiyzLHu5n+wAwLKsesk1m82X9Si4mu6bIIh6GoKtPWreFP8xGAy1iRSsby73i6pK4z2+VzZBzFMQBGH4XT+XlPhSLRlWUh1jNb/t3zxi7hF/pS4AUAB+PQuKl8nFg1uG+7+qy5H/vbQqoPpvvd7ljbd3+1NzydLMXXsKP3i3axDzbgRBSE2xZZ3RloHat4t45cVO1UUi9WL6+ZcHXSUIAc/LhYVVMtnSnYprMjYS+eiPxrpqlrbv+ejuNpLsJqwTBluK4cFB8c3Swioj44X/bpzpYqlqAmIwGNz1MrvdbjKZfvyh732j1w7onyCii/onr16FDAYYMAjgiKv8uZOdATwHaVbvL2vXRvvIXI7smPSm/+qzCnf45O7vFz01x+5hbAIAxcXOYKdVXISmba7/cBynPuC6XgtrT9Dtqb+oLp7nm89+6+igJ4mYCLGwdM/gd5M/agkAMmAGqVbyM0mSqiKGEJJl2Xc8tRoZXeljNxUlOjLSxxowDOv54xebHnjavmKjj2oyw9btwUQIFUxf6EN9BgD7ys35L79SNuYVj3KlrAy8C+ve2smyrMfIit1upyjKZDLRNC3LsgEDNY0r1jxdPnQYAOS8fAixeVstio1Jmvd9YvP0/LNnhHVLNY04rJznHBojfZZxOM60mpB0/FtM8bzEYYqUn3mkSbN2mrtQHRzHVy4fMXDIL37Wd4cgSftzs0wfjdY8u5xJ7YxnD3tujmezt69PvbFvEJvzh+bNExMSzOfPe/aK6uqzys+LM58c17M2L6LqQOll/fqn03hQFOX333//8ssvs7OzCwoK1Gc8s9kcGxubnJw8YcKEESP8NXlXYVl25cqVJEkuXrzYvVz1el67du3hw4fDwsKefvpptTwxMREAeJ5Xo/vdFykrKwOAkJAQzQ3ddddd1Qs3btyI43hjVt9U7UO9OF/ucqcsywzDkCTZmA+4PyiKor7k1t+0gAZDjeq43H8RcBOgL/d9kSSJZdnL/WRXFEUd2wAAo9F4WYvpsiw7nU6CIBpt1yKIwIb0SJJs/OM0l3WfAaiWil2nAXD3nvcTlnX2G7jQt/qsUlzsNQI3KjL8gdYWI+aviPBLtle9oUeUGBVxJQvQgiDs3hNYrvAPPtaYZ+2N7LP0h1P3B3H75Djuzdc6Lprf94YbYgAgOsrYv1/T72f0Wjiv96L5fV/633XVQy8NBgNFUQcOlhqoC+f7qy+2Ly+/MAry12ptp5G8a/s9vLONJEOzppavX+04/u5mTeNMACDLYLaQlZHxgFC6UKL+oxEJACaTySP/G0mSPM+zLPPMU+07DW0bhYvtDM40kg/DRRwUBSH8uk6GyS+SPbtURLdSl1rdYlyxXWOKwJnCxuvKFCil+YXlC1cEsWDOxCkEoS2XHDpccwB+jdTSwlg13q1bsbJx3mg5QWj944egKCGDeyi8cLzpcACg2FKxojDQCCaEkNVqtVgsqnMxTdM0Tdvtdt+/BYZhJZaYHFNMJek1Qs3E0TWKawihXgumhd55m+9qmkYZQWM0GgtnLa6xWs6j0zRT/NknPlXxzhSzWSPuW7V1rl6OYZhHt0QI8TzvSnE5qrVBPbFOTngJEAKAyinvux6pL1onjqeu++vG7VuatmiOEGqSnBr72zbZ4hlaqOBETMVFB01GeGa7F0wWW+y5P06njVW0nsHiTswN6PQJDwv9aYFfrh1GI+bRGWyhYcVPfKFZmco/rVme9OcXPF9fFqUIoWmf9Pa/vqLAmTN5tdxoozUu1Lm8qKiouOuuu4YNG7Z+/frTp0+7IgwYhsnKytq4cePIkSMHDhxYVFTk/zrVW4AgCHsvJj8/HwByc3P37t176NAFI524uDiKokpLSz1mgSiKolZr0qRJ7fdUR0dHR0dHRyc4GuNb/RVPoO7PLOscNPQnp9Mvyw6C8KVpxkZHP3lT6qRuCY93jJx4Q5NHOoTj3rMnecOKS9e3qWMz0MbGvv3aibl86GAsG5j7wf4DxQWFomauGN+oisnTT16zaH7fjz/oMvyOBElyMgxD07TDQXv0LnUQT1GU7LOlBFnV+nZtQt9539P6s6zdzR4l2Z2GjtuWpn6e/HBLzsmkJ+IvPJj67WsdEYK4KIOq0TgRoaYht8o8AOAEgRAymUyZWTxJmpavyBszdsvrb+83Go0JbSIZzJBCCRhbYeXKmkHlDWYmDuex+0dxb7+VcnRxRcu+mTc982viU19s8lQEomz4kHRyz9JTdvuVkK4BAA698F7Qy44ckqBZfvJUYPHUmviYRXHZUX/5AAFAURTBbLj2nx/YPRmAY/YzJQCAAFL2zzOjAK4GBoNBDcJ1OBweWphvFxEcxwXM5zQmRWnfxN+Rwh6zP263ZZGPClnj36yrAAeSJNndh2u8+YQM6Y331pYj5TNnYNcuYdmy6oMTHMdpBkcLgqBeb61WK4ZhFotFTVaJ4zjLslarlWXZ0a2pGBM6QlP53/0AAGLWmdLBw6mjxywWS1H/Ia5Vxc+bnZCa6r5yg8GQtHijs0NX90Lmtjs82oAURZIkmqZPNRkuG0Jz0kZVbycl0SX5Z6uX+yApqck3X/Wq8U7ywH0aN+64pinn+z9ZvRzj2YrOAxWtDla+fHZAzQuI+PjYD9+7wf/6K/48UXMlnwQRE6Cj44Esy/369fvll6q5CKNGjVq6dOmuXbt27969bNmysWOrZpX9+eefffv29d+Cz2w2z9Ni8ODBADBixIh58+Z9+umnrvoWiyU1NbWgoCAzM9N9PZmZmSdPngSANm2uoElkOjo6Ojo6OpcbugDd0AT6qiPLypixy1j/1GcACA8Pq7EOSZI2m81gMISHhlIBdgETJj/aNSWwZS5DlvxyXLO8bt9SX3p15yOPb167vgihgOd6qDGS1QczzGazxWKxWCxms9lmsymKQhDEps25Py3OZhixx00xT01oefiohkx5IOx69z9P935k0pZ415+PvbXXarVarVZOwBUAisQ27a6KEM8hQs+Q4afJyFPqv/N2ANi0Of/9j/aOGbth+YozAJCT47j/wfXZKIRXsHwR50xhjDEsH6zbGAtgeGZC68wFK98vGZnLWfOclvwSoVXihcBGhGBIW/PpNWfmzD0NAMv/8JwVfjkiiWLl8g1BL94xUtu4IDbWqxFwQOgCtP/r5ziu7fIvQZJzv/gVADBZwGQh7p8vrFarnyshSdLlRFwdSZKqa6wWi8VkC+UtNYjLIY7AYrFT27fpfe6f8PsHe6uA2LoJfZUysjIff63Gap2nv91myjtYv37eKnBz51UPghYEQTNkXg0rtlgsNE1TFCWKIs/zDMOoqrQaB+1wOAanUQhgV6Ux86sfgKJAUSreeLt4wFDXevB2bVO7da2+foRQ+nvTuUeer9ocQolJnjMSEMjqiKM6jVQ0RWnul/XoQm+77I0O1zRbvnR4UlOvVwAMg3vu7qL5VULX3ppjAbZDG5CsMZQSse+v4JJY+MnNN7UbMsjfVIc4JpWX1JDEtUb0IGidWjJr1qydO3cSBPHuu++Wl5fPnz9/2LBhXbp06dy589ChQ2fOnEnT9CeffEJR1MGDBz///HM/ZzlgGBauhToWaDabw8PDQ0NDXfUJgujbty8AvP/++zt27JAkSZKkjIyM9957DwAeeOABbxYcOjo6Ojo6OjoNgC5ANzSBhj/PnL3p3DlfHqAeBBpOG5A8QyJl7PWJV4w45YMzZxsozJbn5Z8Wn5r03D/+y1U+wDCM4ziHw+FwOBiGEQSB4ziE0PVdYgBAUSC9me2L6Rdp6zhe1WGmzsl7Fh5X/00mxz23wnMO+6Nv/vvc1IMvfHpo3Dv7BEFeu6PEUl6ofiX9Z+vsOHj8tck7flpyaub3GR6L9+oZq2a3yhGo45zhFG84L1EAUCTipRJu4Ryr/s4NjbAePusgwk19rqlS1nq1tlKniuZ8d0wUq97W/l4TWGxg44QuK6/N4opBe8Ti2mt8uf36T+0tL+rcLzi4BetbgLZYLARBgNkAAHx2/tmWdwCAAkDx9oSNH6onNUEQVqtV9RQzmUweQcRGo9G3y7PT6ayusXKEsUxCTDUfcA/Sm8T6rqCxRzbbTdOndD2i7YB/bMgTtb/+W63WUw/+r8ZqaTOnWGw2AGj9wfs+qok7dniUqGqy5hXVpfU7nU5XGliHw6EmgaFp2mazcRw3rBkFAIedpq0f/4CSki5ahdF4zY8/eOuQCKH0O+9TpnwnG0yW8UNMgoYwSrhZ2/MKIRIa7bSxZ+nKgGczREaG/7Tw3rmzbjOZPH8jkkQL5g4wmbSvGzhBFPcfX70c4xhnhMZkCwRQuH1NoM0LiMkv3Hp955qvZlMmxk1wfBf2/Tjum/HnT3nedAKi/vzida4GVq1ahRD6/vvvX375ZXdF2IXFYnn22Wd//fVXDMP+/vvveupvCKF+/foNHTqUZdn33ntv2LBhw4YNmzx5clFRUbdu3QJ1oNbR0dHR0dHRqVt0AbpBCTT82W6n583X9mHU5KEH0wNVajC/LTiaGKQJ3ZIMl3lCCT+h7XWQzW3JokF+1nQ4xDFjN6gqVdCbUyeVuwLTcBwXBIEkSbvdceBAPgBMHN/y+3me3cmVy45lpQMHy9V/e/7VthK2O6qi4WQFAGDGD8fcvzUyFR+8tx8A/lihoREPvSNFc52cgimADmw736ZV6G8bc2/rGldCiymxJgB4ok/krzOP5uZdZGVI03WRaO9SU3BYO8Q+/cepzeZ+UOPiSCs9AkIQEVE3p2ftBehGktSr/kQlHMctFos60sOybIcdCwFgV/8puxzd1YEW3hAaeXAJQRAkSdI0LYqi0+lkWZZlWTXLkApBEDU2UhAE9XiqjuoYhvGIcFoiBKOn6bAHQTtmRCfEG9tq2DWIJeW1dOGwWq0Hrx1SY7WY5x5uM6Lq+olhWNiPXiOCxVxPC2DVYUNTg/Zmq+1wOFSrEzUtoVFxjm5tAIASAV8xaapz2pfw3xnXct1flpoGC5Ou6xK/eGMoq+3j1OTMYpdDCMuy2a0nalYTDv3qeyveaNGi6ZpVo5cvHf7qS9cMHdz0sUdafDb1xnV/j05J8eX9GnqdpwWTiqH0vGZ51JrZ9arYIoQ++2TogP6JPur8Pq6095m56mcDXZTw2+v2BW8EHZrtGpDQ0QmCgwcPxsXFDRw40He1nj17pqenHzt2rF5Pn9GjR7/66qs333yzyWQyGAzXX3/9c88998wzzzSS+7KOjo6Ojo7OVYtP+0iduibQaZ6PPPqHZrnFjDsYjbes4Xd0CLRJ3aOUdYU11lJ6RUmdr3TfZ3diYkwVlbUSOt975/qEhNjJz7f/cKqn27ImHCfd+8Da8HDD11/c7HA4gng5kWWZ53kMw1SFRXWVNRgMr72591yO4+mJrT//MoAAsRbJphPZrO86gujWSEX53yN/+ah83ug9nE1R9u0tHjAsec6fBbddVzY8FfvnYGFcScW7b2kI2VJNUZ+XBRytHWJftmxtwktPWDq0Yo5lKhwf8/jdzpNnKtfv9Kgmb9kOEONR2PHaKDXvEEIIx3E1efeVQdCvzZIk4TheH3YBHpHLRFiVFnz2lRkRPz+fnvdXbudHKIoySJKsKHCxFC4IgjoVxnW2+objOKvVqiiKkzAWUaG4IrnmHPgg2lEIkBzofnqVJwwAACAASURBVLloNe+j/Z2HVy9X+FpdGBFCvgc9kdFww74/oi+O3W7ati396ivilHer18diot1Xrgr6ZrNZNSlSswv62zAAAHA4HFarlabph9tavz/CSQpaLcTBlPl9Itiw35dE+5fCiyRJARFI0TgHjcx599OT8/JUEFO26+zuyLjOQ4Lo/BiGRUWFD+jfZUB/fxcxmS0CTmKS54+LAGQMx2TPMwgTucK/f4q9/d5A2+Y/CKFXX+p314ish8au97gftmoRMrvVLyjH89yx5R1VPr2neNRnUU18KdfeUBRFV+h0giMnJychISE8vAZbJDXZ7OnTp2spQI8aNWrUKA0HeRWSJLt06dKli7bljo6Ojo6Ojo7OpUKPgG5QAnridDqdObnaxqCa6nOXzpGRkTUbQHtwTfMU33pAOCk9em3kVaU+A0CH2lkZjH+ida+e7QFg6JDrJ04IIOVLWRl37wNr3//oCM+T3t6ELRaLtwBVjuPcU5YRBFFUxDCs+OADaZ9/mfHtVz0WzutzbQdt11EP7uxT8+T9EMsFFWzPj9t9925OM1uaooQVnp85+e+sPGf+Oceb3YTsHmM2ZzjSoy0k5Vm/SZzprXHxkZEB+2U3QjCtJGkAULL4r4Md74h76oHYx+8GgOJ5yyo37dZYvL1Gp5rwRDvVAZwgCFEUjUYjFex8hdo7VyCE6irCy2az0V70en/QzEdX5zidTkPLZPMN7cxd2x95Zp6EU2mb3pfLcuWiTB+eFX4eZ6vJnPXStPOmmBIqFNwcb3xgdFa2SA1efQaAhLRUzaSrx4dNCO6Qqhn/Cuf/7rtat72/R2s5hxDeDqMouiKdFUUxGo2OZ55xPPOszVY1JOBnyLbD4TAYDK7PNpuNcTgeaWtIslUdhHWlprW9H/BnVSoCoR2fXhx5A+XfTJekglXEn09yTr8E9NpTfk0fzXJNdw4AiNqyiPXuXV5XtGieunHt6PbtLuh6z4xN/L7lYqRonzsIIGrBMyXns4PYlh4ErRM0FEUpilLjYKcsy7IsB31r1tHR0dHR0dG5rNEF6IYjUPfnvfsya67kxttv9A6ovgqO46PaaOckseLyPc1Nj3RrFnr1JS35P3vnHR9F8f7xZ/ve3l56rySU0EGqSBWwi0oHERHRrw0sqFhRflgQxYLYsICCImJDFFGpUkWK9ACBJJDey/Wtvz82XC53eyUNFef94sXrbnZ2dm5vdnP7mWc+z9QpPZu2I4bB+0uG3XbrFa6SyRMHzH26V6MaOZtd+8BDO7btqGBZ1l1rJkkSMGb7zmItx6D7LkajUUsS6FL9VFUlSaqgoHbQgJjPVmY//UTX1974a8u2QptNHDk8yWX93LmTp1khSWATxqXWVgmLn+xxw+DYGwZ7Rtq6yEivU1gwRfnhxzw/n2jggGjNl8AdXnbsXr7nlYVHtKDmb3/MF86cz3x2wb5DNYmJxm5dI7RqKSnGRyaEv9d+7zOx+w4VEP37+ezPv4jE3v4WK5yd8Uzx2ysBIPb+W7ts1zEfwGMib7kpefQtKePGpEwYlzp5Qpspk9OMRkqz/9ZuNQ6HgyRJlwzXKBwORzMjAZtjJuPRjsPhaE4LreRZ7zEJJElSxhcLY++fGNKnq1hYtiu/x9qZ+w9efk/JjuZGulEUdey6+yq/38zVlAS5C+s090pu7mWC4zjXv7t3uZBfzOo5wPgHw7DKd1cdu+yWotc+9lONv3ZQZIJ+iLFYUKhf/tNPGIaZTCae53mWrRl1k3w2Wz57VqmqAgDNBD+YHiqKgmGYNoGnqqrZbDYYDE6nc2ic2iOq7ruuEbGy8opgWgOA82n68Ym18UPhQpcwDKMpf2o+rsqGLU/abRcjJwE9fKJuecz6JQqh38manT+1Zo/qoChq6Xtjfvt54v/u6vzZ4+z4En9DSCNy1WO1lU3JTIicoBFNo1OnTtXV1Tk5+sY7LoqKikpLS9u1a7RdHgKBQCAQCMQlABKgLx6NXQa+9KNjwVeePDE9NLSJMnFsVOQDfePSDBKACgAUpnTixbHtDPdckZbU+BxWlwbR0RG33+Yz6BvDYOqUdO/yieNSN/96W48ebT3Kr7m6R3x8o41TP//i9EOP7vngoyye5w0GA06wb7594u57f//gw+OTbtv46YrTLo1P86K1XEArFASBosjevRPHjE774rPh3bvFvzCv38ABEU/N6TZpQvKKZVd++vGVAIDjWGwMS9M4APA8eftt6QaOXPPNuQnjh/bs3nnOfcPHXO3zPPS8oBFLZwM8dA0eluBRYizIXzRn65HjdYm20lONAFDZ+/L1vxRmZlabK8yKIj0wNemddnufPL04CrO84rjykRPdB2f+0H3JHGfzFMl/AsawoK7WojeWHx+os8h99Yaytevyvl97/pvvzq/55tyXa3K/+DLHO5xWsyd2KbAeT7x+jJ4pimqOEEMQRGPthnxB03Rjp+5ccBynJZdrkZ544H1+KJ6Ti8oTZ05O3/Bu6cLlyR/OBQC2U3rzw8lxjgWAvKumB1m/XQjTIp+6w5LndMtPj3+oUU7QPMcZjcbKtYHS1mFY36U+8w3KJ/UdhOTTWY6vv5bLyzEMs7/zjqvcfPf/DAaDoijB/+V1OByCILjm9jTrbUEQLovCI5i687nusL4nsjep7fXXvsSe+9blCoLjeOrpD/23QyhOaucrrZ1OEwA4k8+bEi7r+/lE7lpz0RRbnufvuH1A6rltwdZf9kATTlpL3bgQ/zV69epVXV09e/ZsURR1LwpVVSVJeuKJJ4qKirp27dr8RAsIBAKBQCAQ/zqQB/RFogkmpE5nsM9O6Wn8zPuHNbZ9dwwGdmzfdlqORBzHUWgGANz7v6GREfSbb5/wKL91Ytrddw1iGPrOOwYeOpybl1dBUWSPHsmJCZG+oj5xHP9y5fj7Zv6QebKmUX2orHRWVpZNnroJw8DjiWbj5vzBg+Lj4wiSJHUVOoqinE6n9jjt/VBts9lMJtPS94beN3O7oqhxsezI4fGrv85d8Xld3H1ubl6bNsmqqs6Yu9tX90iG0g68+I0jeh3AH5mVUVhg+fyrPCwlzn1TaHH+wjcaWGNnn7MCwI/r82+d0Gbgd69Exo0c+NEMrHevLRk3rz13ufiVGB2Fv6KsUbYXAsCRO+/ru2q5r179K6BoOuSGobXrf/dVwdC1vXCu0Nive+3mPd5bDxyq8ii5754u7pbELiRJ4jjOZrMBgBbdqdkiq6qK47iv+1Jj7wAsy7qy5BEEoSiKbmcaizaz0rR9SZJ0Op2t4f6s4d2y1WqNGT2ybM2vDqsNAMpe+wxjaOtveyK7dmjyUQwGQ/VP2+0ncwBAKq0yWMrtfAALHUISQmM8lzU0jaS26Yf0yh2nc/DGqI62E2fPTHk0YLWBJ37hfUyjSqJ4ZtWfbRc9jL39lvdW54qVzhUrvUqdBEFoaRuDt1YQRdEV3629pijKbrff0tb4V5Hjryr8VA3Y7HYuCP2dIAgnGcZI1R7lfO1pNnWsNlOI4zgpeFbwxiCUFx/4NrLv+CA/RdOoqSjz5V+rkDQu6SizuCSITgfNNisvZaOwxnWic3Ruid7gqlK87Zu44RMa1T6KgEY0jRkzZixduvSnn34aMGDAzJkzb7nllrCwek+82traDRs2LF68eM+ePQBw7733op/ZCAQCgUAg/oMgAfoi0YQgPkEISoAmCOyzZeNa5LesJh41v51LhvHjBoy+pe+BA5mFhdawcDoi3NS1a7rrFDEM3b9fh/79gmqKpqmPl47Nyjo/d97uvPxG+2bqPhQ/93/7vlw5UhAEb32Z5/mAmQzNZnOIif946dB33zsyZXLa7DkH3LeOnbhu+5bpgt+EY6qRBwC+LO/R2V1kSZUVVZZUp0OMCGeWrsgpLLa3zdpzdch5ccw1i5/eFhvDPnhvhtkQooryi6/pJ2acye6CpVsBoPxo5rzUB8tPCXCqGAC6dQ2btuNV9ULgs7jvYHlhYVSCZ1T1v4v2zz5wQE+AZrpndPjkJeuhTK5bh5xZL3pX4N55SfqogRsDSeKDB8b50mptNpuWVE2SJIfDoQlqzey80WjUXJ61O0/T0mYGpDlt0jTd/I/pCwzDvDVNVVUFQYgaf3XtgRMlAI6s85EzRjsKy8z7jkHHxtkx4zjOcVzNlr2HH3xFleqV7nO9xsRlblYIf/YmnU0tFliHYVj8608UPbrQe9OpUfe0+/GDIN1RHFmBDXnbf7skIj7O19acvX+pDuHMzDej7p8Qvu17CC7BpuPTz9iptzXWQNw9bNbhcLAsK4qi1WrtlcD/VeUEgE2Hzt40oGsw7VRd9mDcvvnem6KKNttCByiKIopiTpfZAFj68UX+W4sr2Zyf0zk2rUujPkvjyPrL15biW1+IX/GE7o8Mp83a4gK0JEm1NdUESZlMJlegqM1ms1lqBVNMgCxvbsQe+FoYdEtj/XYlSbo4xvGIS4m+ffuuWLHinnvuOXDgwPTp06dPnx4XF9e5c2ccx0+ePJmfn69VYxhm0aJFQ4YM+Xt7i0AgEAgEAvG3gH5kXwyaJqN07RJeXBJAQGFZYsOPk5Fq3HqQJNm/f7cWaQrDsA4dUr9alWq3O64b9WWQEwz++XzV6alTMrwFaFVVfY06lmW1p2tNL3v1tSN2h6ipz0OHxO4/UNG9a/jR41UWi3TfC5uevUvHqhjDIJQnb74yZsO6zAOnPMWdXrHkzr3lAMDQuPzVGm5CSo806TtRzS+wz5mrG0/p1u2jx/Jf+mDBouNPQ8w7iztNum0jAHTvGnb7phc8NPhzC9+MWvya/9b+6Uj6wbliTn7x4pVln/vM1fbxrw3OudFIfbJ0mNls9nMoi8ViMpm0Ok12tNAgCMJgMGiinqZrN6c1P7gCt5sAhmE4jrdeMKOW7E4TuHmedzgcsizjOC4IgtPppDqn9T657lDvSTXrtilOMWvrn512fiYFp5nSNE0IUtYdz1mPnNY5rlOouGYK16ODcUgfOi1BjYkTIqIVglJxAjAMVKU9bg8xBZVlNEguu2OirgAtFJbW/riVvWZgMC4H4TcMzZ/3tr8aOJ4xfLCf7bXZdRJ2+XtryjGs/aM3wbp1ddsiIqCyUncvYe1aw/Q7GjtKJUlyTa6oqupyIbdarRnhzKkqeWeR0qOgMDUx8ARYREy8hDOk4jlXEVb+Z0X0FUCZJEmyOgXOwB5Lnt62+AeDqP9BNJKOL7HEv8m0XrhxrU9764QVT/jaJNksENFiQ85us+LLZzO2yogLJQ5TTOWQu+J+fZ2TnJzvHVXAvNMpYwC279+gJjzRqBl6JEAjmsatt96akpIyffp0zQm6uLi4uLjYvUJycvKyZcuGDRv29/QPgUAgEAgE4u8GeZBdDJqm+EyfFiDGKq0Nv3HDVIZhmtQpxN+GwcD+tHZCRocWSO0YEUVVWiWPp2uTyeTreRvHcYIgNKtoLWr1sdmd4uMMAMAbySPV6i03JQthhiee7M5xRF6p8/2vTxgNddMbaYnsLcNjxlwVSxjIWhFW/lbqrT4DQH5RnWi4aFY8REcDQGJUUPcZmsYfkCYtWHQcAH757VxJiQUA2qbxt2972TsC3Pnzb//2tdKSj+hRxWz1oz6D19oIq1WcdNtGj6SU3jT/dDEMYzQacRx3yXmiKP4zlRrdCOWWhSAILfGdzWYjCIKmaYIgCIJgWVYT6Hv+uUoqqzJdO0Cx2oPM2keSZMHcdw/1maSrPmsIWeerv9lU8OArOaMezO0/obD9lcXpgyxT7uMLzl4Rw8VEt6T6DACqqmK0fsB1/rwlLBbU3KdKBqgW/eBU/xJhxZrf3PuUtegH252zQIts9aE+AwAoitNqFQTBv2O1wWAwGo11aQx5nqZpVVVNJpPBYOB53uW1oqrqgPi60f7u3vKz5/ylXQUAlmUZhilpp5+KsG3mW2xNFgDIskw6q9pUbc/P+F9x5CD/bRo3PSIIrTWwVT7M1yYhKtnXJrGqKbn+dLHbrOy70xlbgy+UNZcmrH8ZlwJ8am/1WSPs/IHK75c09u53ERy3EZceBEEMHTr02LFj33777V133TVmzJiRI0eOGDFi9OjRM2bMWL169YkTJ0aOHPnP/KOJQCAQCAQCcRFAP4MuBk17mElLS+7VM+LgIZ2nawyDhx/sPnZ0b5TG5F8KzxuXfzy+qKh05kObioqbaBRw003Jeyz07l+K7xoSnRxOKIqiKApN02azGcdxnudVVbXZbNqzN0VRDMPIsuxu1FBcIjzz3J+yrAJAfLwhLs34xZc5w6+Mm/vswWm3t1t7sPZQlgUAG9IvYs9x87kK6dxufwF6GiVldUqBMvsx/PL+AOWVXBKAp2exN8/fFRthIrg1n1JZmUqvu7AvfvrKeCLvCICoHzoqiSLVyLXV/yj4lMSm7eh06oROEwSB47h2q9EiNz0qNFOAZllWkiRZlt0jeZ1Op9Fo9B/bq3nKN8GLuTkLOxiGae1kYqqqWiwW7VS7i93a2dCibrv8+sHxa+7tvvcLxRFAPuN5HsMw88ETlT9sbUJnrLsOZQ+d1r1mfxP29c/GTlepvn14Sj/9jp86KmAjgiAwaUnOnHzdrXT71P7PP+K/Bbmy1qOk4Mm3mQ6pKcPbQXERnNDPTwgAjv+bH/rqQrvd7iugXhuc7m4tJElqgrVWn+d51ybR6Yjn8CKbCgBLD1TdKUod26X56TaO47Ed+kpnPvcOglaAiCzaYm57JwA4yNCS9ImyKFoSBp9JGMxUnRIiOqYfXYipnlcNBkBtflq55rVW+dOf5nOtjyOpI12uL7hL1sYlNvCD+O1Cgw8duTlEnt1R9bUjbPzjwcdBi6KIpvYRTYPjuDFjxowePRou/Nl1JUj4m3uGQCAQCAQC8XeD5MtWJ8iV17osWXzLHVPbupeQJHbH7e02/TJl/Ni+SH3+hyDLcm5u/vHj2Tm5eY2abIiPj/nmq8kPPtC5CQe98sq4TJLXHtY/3l72/A/F//djabkVNCsALQuczWbT8iJqGorFYnHXWSiKemPxEU19BoCUnjHlNWKnYUnVFN1pWNKOs/Vizc4jta5q/iEJsNtlALh7YiIoCjt8AAD8tqko4I7vTnL2Wr+wzeqXo7BSbNxoMTIGzp6qfXQeWHzmoFNaLb/cxYHzkW8tICOGx988KvmmUUk33Zg06obEUTckjbohaf2Gs1rsrdFodAVyut8imvP0S9M0SZKSJHnfzRRF8RV8zfO85veiTYc0SlD2H7IaEIIgWi/9oIZ2pfuS9S0WC8/zclRo75PrHNkFJ25+yNfHpyiK5/lD/W7dnzHq1GSfRgcBUUXp1L6DTd5dl6w9+6Qyf3NOpR986a7P+kJV1bYf6biZA0DYlBuv3vtDwMFJhBq9C52nz1XLYRUh6TXXTsqpCsupCjOPutWzUmYmKIr7YCAIwl1bNBgMHnMVkiTZ7XaXp43NZnOZCMuy3DGi/ntcdsT8/e5j/qd2GJZ1Dn9FBc8PiIFc0GFGRM0Rk8kUW7IFFJkkSQzDBEEQw9oCgJON1m2Qlq21e70yLrYEnG8nDSG+na9NbHzj/M19IUtSSLHPiYRmEn5uX9F2f8tKPPDjYYVABAOGYZoTlDYFi9RnBAKBQCAQCEAR0BeB5gjQGIb97+5h0+8YJMuyIIg0TbEsisr5B1FVVf3gw7+ezWngRHHzqJQ5j40M8nkDw7BJEwdMGN//6LGc+2ZuC/K43buF54eHKw0fkDEMFsz/02qVMtqHPTnnMk2J1gA9HxiGYUpL6/TosaNTyiSlsLy5QaMx4bQWqdj1pw8BgDOBYAjb+XtpwLkuZ2ondQ9gALgsGSsK8PROwm3TamY9GfHcE+bPvxKzc713If/N4c8AwBoMXP/utr1HGrVX/IsPJ0zRccuNttSlJVRV1Wq1asv/KYpyBbxbrdYmWDZzHKeNH1872u12TVz2EHxZlnXfRRRFo9FotVoZhqFpWtP43A+hXS/axImrn032mG7tp31NKPRfx2q1Go1Gm81GhZuMQ3p5bOV53pGTX/HdlsqftwsFpR5b6fYpVGyk41SuXFXryyvcm5PXP9Cx/I8gKwdD1tTHA9ZRgxD6ZVlmo/RTx4UM6oPhgb8snNcRoAEgZfbtp2c8V7n7MGAYqGrx618YX5+JL33XvU7NzbeE/LDWarMRBKEoyh/Zwu8nyuaOSdRGYMB5EUVRXAH1qqqmmgiA+r/pe4qVoz8emT2iHW/U7yEAhISFF/Z5Onb/S+6FGEDqyfdyO80SBaEmqi/gRGjZvtqo3jRNO0URHGWsvdhXg9EVe4pKr46Kifff84DknMg898h8qaScCDHF/98j6QP7C8Zw2uq5WkXFSSks1lcjTERMM7uhUZ6f4/MYLUHCn1/U9BgWGubTZsQDV4ZVBAKBQCAQCAQC0SIgAbp1aZEgGooiKYpE0vM/ClVVf/p5/4KFOurhDz+eP3Z8zYrlE4J/fMVxvEf3tju3pc166Ie/DgewuYiNYazt4rxXKl+XCEsqnABw+GjF5KmbAODVBX1TksM002fvdmQ3AZuN4Q7vCmyvERCTgQCA1GQOdp8EDEs69mNpwmVms2SMYP0nXcwsVENK2ej2PF1TLsalUCf+DMncly/J1UuWKmY9CZIgLoHcm10+fnlftxuDr0/ERiaNv3HqlC/Btar3wqaPPrjSPQ+ht9uA5sdCUVSjLOndHZ99oSgKjuMeArS3zaWmLFutVqfT6bKIAQAtg5/7ju4e003QoN1baCUoigooQGsnnKZpOT4q/dl7NMsOAMAwzGg0Hh4wRarSzxtJpcRLJZVC1nkASPlw7vn/vRBkrxRrE818dHE6nXJ5YOeco71GZ/z5dcBB5etPoeNcQTCdqf1pu245huOyxaYdQCs5++g77a5Ox3JzGtbDMAxjGMZms/VJ54ur7K67hyAILu+aYDovCo5EI1Fgra9vkTCnU/AjQANAQpv21iNRrNDALpmULOnHFp3KeMgKXHjBds6SFV208Wy3p2iKAjraycYyjhJfDfJHl6vDn2qaQqoqSn52zonhk9ULzjBSYWnuxJm5AOGzZ/SGTR6NYooU9+U8X62RLXQflu0+F7u0FOyqp+D+94OsLAhCkNbtCAQCgUAgEAgEIhiQh0PrglLZXJKoqvr8/A266rPG2WzLJ8t2NLZZHMffXTJ657bp77w1MD6+gQUBTeNt000AkJTEmQame+/bK4lasqTB+uWbRyXPeWqf09nA9NkFSZJlF8Kfhw6JTYvzfNImCSwmnIoJp4JXOKLCaAzDSBK7dlBE+LrvISxUJcgjRGcAiAgLEK388cocrLCgYmvm+Sum1AwZa8jcp5UrVdWgt4aA7NYl6H79c4lLSTZddUWQlYnIsJFHN6gqWK2y1SpbLJLFIpkv/AMALUMgx3HGC2heHBzHuZYDuy/IcMUd+yGYBRxaFj6e540XNDiGYdzNXlxYLBZNy1MURUuDabVaPZRr9yMKgqBFWAfsg0cLBoOBbrUAeY7jgswipSiKJElaZVmW6Vob65SKHnvjQOdbPNVnHAsdOzLpzccjpt4oni9SausE9PxHFpFR9TGb3TZ/3Pvkut4n16XMu1/3iC2ovFcUBHbO0QjGLdfXSLMdOtmIPnnhyCuOHnuV57GUBiMKe/89AOA4TlVVgiAUFQ7kOhRFpVgjzRolSQqYwNNjgiQ9rCk/nIrbetqDqAA2OtqACYIgMCRWnDHDHNYl7dhrACoA5LW/M6fzw6c7P66r3Jvs5y01gacHPJBEcdc9j/8ad9nxK8aoer7kVW988lfi6Ea1SdAtMzUuNSlXc6NgrOU1VY2YZ0UuHAgEAoFAIBAIRAuCBOjWpVHBhoh/C+++v23T5gDqzLLPsgTfybv8gON4r14dv/3q1q0bb1vz5Y2rP79u/Q/jtm2avvLTCaNuTA4f2Eb3mXjT5w10HAyDP/aWAcAdd20xGnX0O5Ik3/3gWPeuYQDQuWfk7qO1w9IZ4UyFI6vcfrq8cyp3df+IpAHpSQPSh/cJas3ya7M6Pzc9/eHJ7dJT+cwcu9Nmp+c9mzd+YXQku/rzq2QlwJO8CiB37AIArJGHW8c64tLKh05gRl3rq37EtMnB9Oqfz+Cv3qHaBM5GGHL9kGvPbKUZRndOC8PgRGaFZrdis9msFwAAi8Vis9kYhmEYhmVZgiAIgjAYDCRJagq1n4MyDBOkg5DD4bBYLDiOG41GlmW9A6KbhqqqNE03YRpP08Sb3wEcx00mk4fcjGGYbjo7X8iybLFYSIIo+33f4YG312zdBxc+EZ0aH/fcPcYruoOi1ny7Kf+R1ypX/uS+r2K1R8+cRISHhI0bCQAnxs027z1SsW7b+Xnv6R7LVqsfVd0EZDXY035m2pyAirxY6GkzosF18WkuHAyW/ce56wYCQMj1g1yFHrohbbZoEzB2u51l2RADDgBzVp17ZvW5p1efyypT/Du0kiTpPpYkSaqweY3tIKbpUjp087gJ5nZ+uLDd1NTMd3ieJ+3lAGALaQ+gAoYDgLHkD7tM2OyOnK5zdBuUj34d+KhuKIry+9Bx5u9/81+tYt5bhxJvDrJNmTFqX31VadnBtz/aO//1A29+UFFcbwcUfN9Sfn01yMpBNUhQuuXUNy8E36vW9pFHIBAIBAKBQCD+UyABGoFoHMeO565anR1MzePH85pzIIZhkhJjU1ISwsNDtZJHH7nS23kDALonUlVVDQwBJoxNLSl1AICqwjffnfXehSTJM2drjxyrBoANP5z787fzP6zLsztkp1O5vH90VBjdq2NdiryEeH9LyzXuuCGZwiUAqLaI3fpEXTU8lTZys94q5nevblN15O13joTwpIkn5z/VJS6G7XKh5fhY1j2P5tmJswAASooBwMzFGb5ennxuR9RT9+geMXnElQF79a+AIIhrDq2PuHu8rwoYy3T95ZOhXy7RvJi91ZNel0W0a2uacDgguQAAIABJREFU/9JBi9XBsqzJZHJFdLpkNYfD4dKIDQaDFp5sNpsdDocv6Y3neS2AN/jPojk4y7Lcgu4oWlebsBa++X0wGo2aaYO7Am4wGHSXFPhCy3FHEIQjt7D6641Ji+vEROMVPaLuHSecKyqev9S6W38tRe+T63od+bZ86bdEmKn6m00AIFfVnp72bO6cN3wdTpVbbM2NWFEdZE3boZOkXSec1p3arfrm1GRCsxyEw67sawwNAYDan3e6CrHEJPc6YnycNhOMYZjmjO++9avd5YIg6M7EuJJnuseVy7JsYjyHFhaEAk1RlIo12JGyl+I4joHS7uiCnIgrcUcVY83DVZkQzWAts8UNMFrPGQwG0cdXGl3zl+B0BDyui+zN28UzucHULJv39pE4n5N/7tR0uFySpB1THtjbdWTpi+9UvbOibMH7+7pf/Wty3409r/o1tucvCb1/H33n2d93+W+neNf6YA4XPLisP/vLVeeXbw1WuG9OAg8EAoFAIBAIBALhARKgWxH09HLpoarqzAe3Bln5eGZhyx6dpqjX7+juLXWYT3pGF/7mFqD93docb3lFFBUAiIpi7nu6V+45q8VSP1bZK9pbEmN/Lq5zMGBD/K2wjgqj35/TvVsazbLsxm0ljz+zd/Mv+dU1Ao7j857otSfs6ke3t620CGdzrWaL9NyC48WljuMntTyFUFTicI9tXfTuaQCQP/0Ynz6V+2MTAGAA4es/Txndl0hLdT+o8c7bGEMDi5J/NRiGDVz07PC8HclLno1+ZFrIzSOiH7494c0nO//w/tCcbTcU700b0MdVOSYmwn3fmfdlHDpclXXGDAC5udWKomoN8jyvK5UKgqCpadrdSZZlg48zKYpi8As4KIqiaVrTskVRbMHkXbqiYTA0Xwe3Wq2a3O8u+je2TafTSdO0wWCgU+MdJ7LzH3o16t7xhl4drbsPl3/wja+9kufe0+vod1arVVAVqaI64rbrgzxceGx0o7rnB8xHoCjdPhVjaSolwb0w86rpfqLpMQxTfayBwIOw7wAAnNObgSCJqh0Hc59e7FEsd7/M/a0ya5YWpUtRFIZhR843uCickrrxuKXG5vT2bOE4zuFwOJ0NtHWCIGyi52dhmaD8XrJSp7m/xQVzeNFWAHCSIT1y34vOX18SO+Js96cVjEzNWRmZ/Y0U0YEkSafTWRkzULfBqsM/6ZZ7oCiKqqo5Dz4fTGWNkheWnki/xddWFaDoslGnO4/LOS3+PmSMdeNOzwpOQdZi3iXJvutA1vj7f8sYnJt5qqq8Qvd3UcwBn6KwCpA9YIZ3edawB7UXEs2peCOuyugDX5dlnwq+PgKBQCAQCAQCgWgRUBLCVgQJ0JceBw+eFHwFpHlxNrvlM6HxvHHZrH7/e+9P8cLiYIaATZuK3evMf67Hc/MPu5dMmbb5i89GiKKoiSk4jt87c/uDszpuLic9hKGIcFpUG6iHguIpJl7WITSn0PrKA51lWVZV1Wq1aNGyX32fM21S++FD4p1Oh9lsjgiDiDDq2cf7TLtfP4EYAAzsHzNxdOqDT+7DcZBldUbUo5/3PcBs/Nb+xpfM8/fi5hoAYM6eSAsjih6fZX1tCQAAx3V74tHGnbV/A8aQkJ63+4yDdkHTdFgoVV0jsizetUvYO+/XKykETuI4Vl3tDA2lXeKpf7T8gd7lBEEEvH0ZjUZZlh0OB0VRFEXZbDZXXr6W8r7nOE7LguhLJfeDZh7dTE9kgiC0lImuxfiN1dYJgnA4HJIk0TTd5ef3jl9/f/kHnlob0zap06pX5VornRwLANp1anU6AADHcVUQi1/4KPy266s+/zng4VrQ+ZqKCtctN/TqgomSoUv76vP1E2yqKOU+9GLsK4/quhaoqhpx88ii15fV97NDavKQ9tjuXdi7C9UpYwKe1ej7JpS8vsKzVJLPPfmW8fLunsWm8AZ6ZHVN7QcfYDk5zAsvkCSZV17rUb+i1nFUiB0YKpAk6W6uont1EBRzrKLBchMaV4McnyFRiZBb99rKxNoju8UdeUXC6aLwASllG422PBzHzWaz0WhUMaI8bSymKg6nwHFclXFoRKlOEHFS6SYRxvk6XElJ+ezHN587b1EUIEnsuUaOjYKnFuMfzO14oO6016Z2L+44onLlT5ZNu1SrHeCdRrWmVNWeHDpBe42Hmi7b+W10bKxrK674vNtgACn7V3mXt9/2NgBIFFfQYzQnWkNP/07b6k2xHcYoylFLyPqZQqO+fU6evSqYySRRFClK380DgUAgEAgEAoFANAokQCMQjWD2HP2F5LpYLa3iAE6S5LIHr/jz8KnluyotTnV0Z+aE21Ycx+a/XL+if8KENqcpXlJBURRBEIxGo6qqsiy/s2ToaxtLAICjYNjQ2GuuTvitRj+AsczZQIK5ZWjc8F5hNE27pD2j0ajJnSveH2KxWKzWBpKf0+no0Dbk9NnaC53HJEl94qHuy744XVHpuPv2jA2b80081TkjrLzSGR9nIBijfeFnzKuPa+qzBibLCb8uUwbEKfPfj0pMbkI87KXEA/d1q6qyvLf09P4DDRJqzX/5r7AwurpaWLVipMFgCNKnWIsUdhdYVVVlWdYjetpoNEqSpIVSYhhGEITVauU4zmAweHgUAIDD4SBJspkzcBiGKYqifYrGyr4mk0lRlGYGYjMMIwiC5kOtOYGYTKbG5iXTcj9q55NOigkd2qfm9/0AgNFUr7++duQWKHYnlZFqdzoh3ChYLBRFuQeeS5LEpic5svOrPv85afGc/If8+eSGjR3ZpA+qT3hcrG65ef02xeF05hYAAB5qUmrqXKdrt/3ZxmDwpfgToXW3F9xkTHvjEfyVl2Drea3k1Jtvdpw9239nQof11RGgAdrMn1n+/WaPQtnmaUxB33gjm5Skqqrdbre7zSBiGMy8JjqHihQBJBVsCkHiuKY7a/Mr2hi4UBnDGG7FSU9NM40Pdnw6bPUO3YxiBQDACFxVYqv3nY++JrVsA64lC8WwnI4zackaXbC+OHUcKdamnHy/1tAmxJ7r3eaZ4wfbdenlXb5//6kHZ9cHJkuSemLa7A6vPBlMP13k3ftCSdcO4plzqsMJcA7gx0bt7gulxnyg29X8jcP7f7CQ0mRxv5cVKepkNL2wyZa67wvvctZa7qdBDJTiPzcnDrg6YFdlWUYCNAKBQCAQCAQC0SIgAbq1QOlrLj1UVRWDDn8GgH59o1qvM/16ZPTrAYqi7N6dSVGYeGFV+PRpbT9ZfgYAkhK54ZMy9hWIINcZlKqq6lIVeb7uoXpDljhsUOJvNT6Nnosd9WpvuyTj8F5hgiC4izJaHDSO47ranKIocx+/TL0AADw1/8DCxUcAICHOQBD4DVcljxgcbTAYqmucp0+Vi/3ukSTJUJzv3ogYlyzNfF7JPcXNvVt4b+1/XBEgCHhv6WnvclWF629Mobqn/ViEj4oPtjXNI0Jb6c8wDEVRdrtdV1Bz9yLQRFItPJnRc1Fo/iSBu4beqNYYhjGbzdpeLMs6HHVypKYF4zgepLWIFv4MANrMjcPhsNlsjb2xuwvogiCkvvOU89hZudZiGtzLYrNBbDg0PLHapeQKIcdxvOuG9/dnjAKA/IdeTX7v6bz7X/Z1rIEfv9SovvnHaDRiBla1e4q5isVGhIfIVbUA4FKfNSq/+42++grd1rRPFHLL8JjMndgrDfv5xYr8665L6tTJT2eSe3bRGfEAUnWt90glTJ53M1FVZatVM3Q+5mbBcXlbLoeK1F7vraU6cWLIBf90bQgBAEmSWoDziQppd64AAGlGJcdaPyAHtW3giuMHyVofolvDpUuSlNPt8TZHXzWIlSllv2IAAGqUWu7AeEEQSIapiBuReHpZbvod1ZF9jFb9xAMZuZ/IXgJ0WVmVu/qssXpt4cuD+zp27AuytxrCMd0T3wJYftqyOalv4lvPdRx/U4t5xgdNzL7V6uVXtaBZEAKBQCAQCAQCgfDPfzqQsFUJ3j4V8W+hpqZGt5xl9a+jHj1SWrM7AAA4jg8a1GXbpumrVl47eFBMu7amZZ+eMZmomY/3MA1O31dQNwgZEhMEwWQyuXZ0OByd41kAyIgmT4uc/6OQRN1T+uO3tXNJz3WbSFKTz1iWs1h1Il4VRTGbzRaLxWq12mw2m8328txeb79y+YLner/4zGXaJi209qMVp3q3Z1VVda2MVgHMlw2umXQvZuS45+/mly/CnQ7Lo1P+47M7PXsk6ZbPW3i52q2toOIAcLQGMxobyHAEQZAk6S24aPGeqqpqHr52u13LvOdh6at7zi0WC8uyBEF4TAm4x402GU101gaDw+Hw+Dh+cHXGw0JBa0FXLtfged71qXmed8nfmtMIwzBNVtUlSdJsiJ1OJ7RPInp39BOf7v4dsSy7v/PNrrd5D7wcNkE/bDP9w+eZxqdq9A+dpj/SXJkDQ2+90b08///e0f2aeKOx7LPv456YHntsGybp/GU0T7vN/4AxRYTr5vnLf3W5ed8xz8LZizxK1Nff0M4/hmFmhxIbUneHOXSuPrRWBeyYjc6qlvNqRLhgZqL5dwuysuy4Y3dR3f3tvK1BV8JNwfrDtDv3met1VcoNBEG0PfIyoUoAgIMCAG2PvpKQs4p0VpEkqeKUDefz2k2nKKoyYURZwrU2U1vvNjFV9nCpVlX1+fnbdDuQeeUEX30joiPg71BjCx6evzmxz59mnSDuYBDZEEXPAFrFcAUjnFw4AAhsiHcFymkWhACZMzWQlxoiGKZNm3bfffdVVFT83R1BIBAIBAKB+OeCBOhLitpac35+cUFBSWPXiSOCoaSkSrfc4dAPi46PC2vN7tSDYVib1MSFL49a/MbV9zzcNfmGjM15DeRCh6QqOC3LsktfkyRpXK+wKA4XeF7RlXbc0ARoisC8xxXDMKqqchx356wdL79xOBhXTbvdThJCqEl1haYCgNVqfWxmNyI80m6XPvjk6NphTz+XPGeC476nTvcO+3oplVsfhUdUVxS9tyDgUS5h4uKiCaLBV4Zh8Ngbw05joa6SXBv+Swnh+rpNJhNN06qq6uqDBEFoyQmdTqcsyzabTVEUu91uNBqNRqPBYDAYDJp+543mksG6SZ8YhjU/rhDDMKfTSZKkZjANAO6jxQ8evs82m037yJoXsyzLFotFN12ewWCw2+3aVi3e2X2rZlTS5GlFTb8OpqbmcNKgSHa7vahg3vgHnZbosVf8k3f2uG100/rmh+T5D+qWO4+f0V7UrPJMgqdadIR15/lC05l9MTddhWd01G0Qk+XcJZ65BN3BcTz5tWCd35VaK8x5AgwGeeJkuOoqCA2FvDySJFVVlSQpOZK+rmc4gQMA2EU1Wq3rsAEkAGxngXiwTN6ZZ9dGnfatHSiV3a3y5YYu+e/sKghmYJQU5rl2q4q5AsOwtkcXuleQMQoA7MYUi2rQpjpIihFEKeXk+2Fle6yGxKK0id7NYgAV2YcatCPLhw5XetcEgJVr8oDWXz6imK10RjoAAPE3/Cysfu/zP8q7eZefGXy//x0pRy2u6MyNnRnyAK7KjK0KAGiHp+u3huXHd4Pp2398vhMRJJ9//vkvv/wSGhoauCoCgUAgEAjEfxUkQF8KqKr60/oD19yw4tob10y4df34yT8NGrbs/aW/t1QqMIQG1pj4x8REzmgMEFnc4oSHh+0qAd3Jh0UbSzdmWvblWl0SJIZh918Zy5INPtS49vSdnYh7urMzutD0BTFZUyTuG9vGY0ThOK7FLTocjlvHpYuS0pyZD4vFYrFYFMV5z53dvvil6sRps6rCguFl3jXZHRsqS4q9y/873HlHe9frtDbGO18bWSh56puSimnh5BzHmc1mu90uy7LVatVNmOYtGWuVbTab3W632+06wigATdPedigcx3n4RzcBzYFXkiTNMUOSpGBkIIPB4H1ordskSbpasFgsJpOJJEmSJHmeZxiG53nt/GhbrVZri4c9Wq3WYIK4faWFdCFX1VJJMXChDkZTffd+eflzD7aGmUBsjy6N3aVq3RaPuQqCIPKeflPt1FkFYBcsxGL1raWVL1f5n2PoOt1ntj1vCj5aP3/UKy+pl88Pv3H+NfPfmPTGr3+VawJ0j1RjShSTFl03ZfLdlnwCFAAwA1VUUoMBVu7ETtdi2mDQjDjOVPsbew4Z+2TrCT8V6qqV5mgvVICK2KEh5fsxqL+dqoCJpBEADNbzDMPIsowpUlTeT2kF31BCVWj5flVVFb3gcQCIO/+9+9v8/FI/3TAMH+j+NmPb6roOOJzCybMADSc8LiLVy7/9o8TThqXdjveCb0F1m0lt//sSAMjrOS6/xxhf9SNz/tC83QM0i6bzEUEQHh6uZUf4uzuCQCAQCAQC8c8FCdCtwsX036iurh04dNnLCw+ZzfUHVVVY+cWZ2+/4Gj07tSBRkToreX3x8vxBf4u/JM/4vKj35to2HDe/8HMJz5sAQJZlURTGd6AzwlQAGJxI3tOdpSWrFgxrt1mnZpAJRuyyMMnqUNomcunxlIdvAMdxWoSgoihXX5m4aH6/Zs55aD7ROI6lt+EBoH1bPuTnVbo133h3/xVDPtH+DRz6yfLPdgQjJVwyTJ82WHtx803JA+4fZFf0H3p/KiY5jnM3N1BV1TuWWbPd0G3BdQPRdUgQBEEb5E6nU3vwpiiqRYa9LMvaWArmkV5TkE0mk5Yz0H0TSZLawNACwF3lZrNZkiRJkrS4b1+p89xp/nyet7GJNx7fl3n/ce861h1/Jbw8Cwi8067PRtfsT+7euZVuNRHRjXaxL3j1I/dweIZhOI5L+3A+PXEybjKZzWb2/Q/191TVnMVv+mnZwHHhPuxH+pzyTI5n23vU/a3Fqew849AGwKAORp4lzpbWid01NqX2TD4AKFXVFhHTlGYVMIqicBzHGP7jYw5noLmPbAv2+77D/utE5P2svTjb7SkMw6IKN7lvxUBlxWoAwADaHV1AUxQokjWiO2c9f7b70yIdTpKk1e4oTtGRUxmx2v3ut+ePXD/dsN4y1v3tqWGT/Hdbh1b7u1a94ocdJzyj+wPsklAfN33i+udrYzq4b008sjas4JDXTvUoq+cFcxT0OwoRkM6dO4ui2PzJVwQCgUAgEIhLGCRAtwoXbc3moUNZ19/0ta+t2bmWz1bsuDg9+S8QEREeZE2eJ9u107dPbW1iTYEDcGRV1eyAnU6n3W4fksTc3ZVOZZ1ms9loNP6cT1gxg6bcXd+GPHaobNb4tEcmtfGOCbVYLHa7XdMHtfjl5vefYRhFUTDAwkLpBeX6gpQYHr1lW4nrrarCR5+cHnHNqp837M3NLfyPiAU/rR3zyINdjYN8pm4LAXHVnF8lSfG4HXlLyQRBBLxliaLIcToR/drZdk25MQzT/GHgHq1stVoZhvFlAAIAPM9rCrLZbPb+FJIkcRxnMpmaPynYfAFaVVWLxaL1x1eYs/voZVn21G1P6VYree3T0eaDnXr1bGaXAtL2108au4t591+uT0eR5OHuo44PvlV85WXto1ksFnbZZ7o7Ymu+cvidRkq7R8eDAgBO3K5/llwQGMiKqn2DWjLJy9vVG+JvzbQlmovd8woCgOYstPq0EwCuSg6crnl9Hlbu1/6VkswAUJg6QVXV+DMrXeHPheEDvSu3PbogsnBjZNEWFSAu+8vzbSZrsdiW0Azdxq3nDrpeL3kv0083XnwrK9BHCUQQN9jwZx5wvSZiozA2KP8ZALCu37rlR0lgg3WvCiusn2no8vM8R0iD7Ku4IvHl2QCQ13OMyOjM/RjLswtOHfUu9wC5cCACMmDAgJKSkgMHDvzdHUEgEAgEAoH454IE6H8xpaXl9z+43X+dDz/J+o/ocReHfn0ig6m2/ONr/pbwZwAYkBZ4mb/ZIRsMBlVVKYrSnBasVquiKBzHHSiVawSI4XCDwWA0GiVJuvOmtE5tPC1xXUiSxLZc6jMcxymKkiTpyYe7LF7QX7xaf9F9aY+RuuUffJh16+0bJt66+ty5S9+gIyIifPy4/gOjdK5uDNSI8+c/mLMFAEgS99A6aZo2mUw8z7tUXYqigvkSm5yCr7GQJOmuknt4TDcWs9msKIpHorZGQdM0z/MttbbaZrOZzWaX+4f7Jo7j3BcZ4JLsS+zr8P7ci3OH6dSvt69Nxj5ddctz7nuetjk1K3DLgeMAkL54NvZXvUKqmExYpP6NtGSHv79oMd31p1tse4/Fz7o1cfEc98LB7evHjKyCogBBEK4vcWz/SIrATGzdOVy6rbqtsYHIeLZSWHa8bsxszAvKj+XV3/P9znOoAGAPbZd89jPOlucqTaja5V1VJE0lidfntrlNpkLyU8a7ApxlWVb1fraF5v0GAKqq/rBuf8B+Mv161L3oo2O73CJUvVRnr0wmx6uCoDoacfUJJ7O3vn7kUNj1ttDGRUMDQGTOHt3y5EPfybS+I1bCjy867D4zgmogNzNEQB577LFu3bpNmzZt06ZNaMAgEAgEAoFA6IIE6Jbn4vz0FEVx4hTPdce6HD16OnAlRHDMe254wDovze+bmBB3ETrjgaqqH/98+NO91QFrvr2lbPmu8jM1qkNSFapOsGZZ9rNM8WCpzBDwW64AAIIgSJIU0JS2BYUwRVE0SwRRFDEMqx1wtf2x17yrbRF0wgCvGBBdXuEEgPwC2+Sp6++8++uL6YTzd3FZu5QMY4OPmSrXbliw7Z136qIgf1yf7aGcSpKkZdtzV3W1+Eo/4DiuGwbo8e03fzCwLOs922G32z3MphmGMRgMHikHfWG1WimKCmh/4QuaplsqwN+FK+ujNtPDsizLsu5nj2GYkxMe97V7u2uGtmBn/IBhWNKSuRH3Tox5fHrY1JuIqPpVIIrNp2XziRHTxO0H1BPZ2TOeBgB89ZdAEK5PZ7fb6aef1d3R9slHfjrD8UYqIVp3kypKsSMGuJd0iWhYAQDHcY7jtLuZxWKZdW282VGv7/+8q5Qn699uK2rCzC324Vbf0cdae5KTtRe5uqRLUZvx5zrNtNvtDocjt+MD7vYadru9LOk67104Z4nNannksXULF/l0Ahk8KEZ7gd91h/bCuV8n+Je/Rd/nRBeM5wAAj/CZeE3KK1KqPHMABgyIVm2O4mfe2v7s1h0nEgvTr7SHJrg2laQN8bMjIQsqYMUZOjOU9lD9NUmYqth+9mELcwGkJyICwvP8d999R5LkVVdd1a1btzVr1uTm5lZVVdX4AIWGIBAIBAKB+A8SeGEporFcnGeVpR/tcjqDOlDFJ2uyp92U3qtHa3fpv0BYWMhTc3oseNXnQ/4D93W8clj3i9klF19uObYn118WL3fiTNi2fAkAuzJRahduxDDMYrFMyjCuzBRsEuSa1RqnTMoyy7J2u93/kG7x5ckEQbAsq+l9ttBI8spR1NYGcy07d+tk2QoPo93fnjxVO3rc6rXfTvbj3nBpcFW3tPCT2X9U00mk4/t3D64620BK3rK18Lpr2jAM5goBdtkiAwCGYR7myL5gWdbDAdyDlpqH0P2+ZFnmOE4URaPRqCgKQRBWq7VRD/CCIMiyTNO0rpm1f2RZ5nneZrO1xr3d9V14iOkURdlP5+ruEjntJoqmdTe1BqEpcZbnX9DOmgkAaxdOpiSR/fsofAibXUC3T8GKCqUjR8WYlJqvNrj2Ov/kItdrrKgQGv5lVFNSgaTAK6seduaMLEmE72u247IXjl57r3d58Ydf12xvEPwrMwxAg/thUZUzu8g8sHOUNt2SEN7gHCoqFJ0tj0yLFprxJXOkz6ugMqSzyZZnqq4z9XaSJkbSmfVRMaKWSyMADAaDrjeOOaxrTP567x2Xf7r7z33lfvp2841td+wsBYCXlp6f7buaZe1vfhpxQSbFSfnFqsUGAEpljZ+a7OWXOf74y71EC4jGKFIVA4SWW9dvPbJ+KwAAhuFhIUREqHj249CpN/dPOIMr+vOLGKikYAMAW3gyV1UfaR6ef1C3PgCEZ+8SnPfSjL9lFrpZWBEIF/PmzXv11Ve11ydOnJg4Ud8vyIUoipf8jxMEAoFAIBAID1AEdMvjbZXb4ths9lWrzwZTc+5TXas+/ObQwNv3vvpBa/fqP8KNN/Re8GJf3U0ffTB8ymQdQ8+LwMnsvM2nAqwjdsdCGwCAwtUOkfTqUwIAGAwGQa5X9L7NEjmOczgcAUW3Fk/7TlGUK5OPJEmOaxs8yFm6Dygq9tTZcRx+3VjoUVhZJQy/esVFuB7/dvp0TJ/RI/LV2b9nnfWUtIqK7Qf/KnOFD/M87x7szHGcJuYGPISvb1kTZVRV1QJLmzkbQRCErkCMYZiiKAaDwWq1OhwOi8XShPAxTYBuQq+0gHGjMbC5TZPhOM4jwrps1c++Knd57gFfm1oDS0mD+R61sko8dNS+dLnz9cXq9984X33DsXK1dPi4rpzqDuYW2G6325lXFupW83/BthtyOc7reSkoKpeRFjujLkdf6mcvjAr76e0bKgi33zhv/lz43QHzkXMWLRYewzCOrttMYAAA+ZXSucwSExnU0BoRq2MrkRyic5nIsly77eU4+aSRsZrZ+MKk608nTvJ1ulQMJwgirGQH6ywDyZl+8m2DwaBtwnEcwzBR1r8hnzgZIEI/KaluBYDFKnPDB/ivrAs//nrXaym/mBs5EADorg3y/kU+N6vBPhSZ+tZzuiHPaqP0XFVVqmrEs+cBoGblD5uW5tlDfC4zisrZXdp+WMmIWb4qeIAB1GQFyCGJgqAR/iEIgmoMf3d/EQgEAoFAIP4G0PT7v5Kt204FU61Tx1D7mP9prwuef79o7DXxbdNas1//CTAMGzqk+/YtnQ8ePLX0k8yiQnvv3pF3TO3Stm3q39UlVVVf+8VTfvVD+yiyUsABQFSwpUccALDsmFNqqLpIilpeLbBk4Kduq9VqMpngQv40WZbtfjOJBUQQBPdoUEVRVMaAOe3kCMp0AAAgAElEQVQAoAIsl4cDFHnsMmlC2qrVOd5NSZI6eerXa1ZNuuSD1/y4JL+x+AgAPPtkr65dI93VZ+0MUxSF47h/eUXLV+mngkuebsJsBEEQOI5rcdkMw+gOHo7jXCp5c1YuWywWnucbGz2tYTabTSZTQK+SJkBRlIddDMdxp17UtwWgEmOiLq7Dj2Orfibb0GVv1856UrXWzXsJW3cah/Sxbvf0IG6z5nV46jEAkA/9Bd3qV4cQbdvpNmsuLWVSUnx1BsOwLr9+cHTg7d6brIdPdd3wfskn3wHAgI5HAaANceK7G7FFmSN2ZDkBQFNuP9tedscgISORN5vN8yekLPyhwOKU7IIKAG2jySe6n4x1/rDMcOdps/6vIxZXJyWVdVS3WSG8Inz4oaoGAz7W6JnJ0LplHieVa9KvChhOsdVKQqz1oEAYCUUgVM8wXhlnMQyLLN0ZVboTAAQ63HXpcRyHYZiuLbgKcDzTn/nSgMujbrtjk+vtib43tNmib5fsB8vXDSZFbJt2AYBwrIHHV8X8JQ32EaVTl4/GWBoP4ZXahhK54PnZmR6duK4datdvlas9XTs8UKprf5+7PW3lCxlHVupWiMnaBlnb3EtKB89wRqfLONnmmye86xv+/A669vd3REVp8alWxKXEzJkzJ0yYEHx9NJwQCAQCgUD8B0ECdAtzcWzdvlt7xqNEk9fcD05R2Og/VrgHE+7pessVx3+IS2/T6v37D0CSZL9+Xfr16/J3dwQA4OjJoMLhXUTHcOaGUoCH+kxgaqq18rXPq195oFPA8FhVVd1VOZqmSZJsctwxz/OaE7SrhKKomuc/MG78ltq6zpHRc+NmT/UZAA4drvTVYI+u4R9+tOOe//lzDr0EwDCsZ4/wQ4erfFV4+90jX86hnAl9PUKMaZoO+BVrTiy6mzTlWlVVLfZZ+58gCEVRgrwZMgyjuY3TNI3juO5eLXhf1TTophk6N2dfX2AYRlGUh72J80we+JgS6PjJ/BY8ejCosv61LB0+jsfGyNm5rhKOU6w47tFz8sO6fHTytq14j56uqQ6lyMecmRpg0qt9rx461sUAjux869EsAEj9cC6GndQKMVAf77TpxozLn/mZki40vDvL1i0tQltpMeuqcJZl567Je214SartD3ACANypfHI4/pYvi2Ld2080yGOiTyapxzXzZh6qxohfVHFTztnqhSSaahBin7P3+zZSvS3GueQ7ZcJIUWp4ZY6D4ChZ57rLTL6dU9XakE6htZkAQIoW7WoCAFKyUs4qUfG8FlSAstDLBMHfNbLnjwbuHGt+KZ9DU94SsC+otCQxJz/IypiBVe0NFqmoDkF1BLa+cR7ODJ82ltjzlyZAcyOusG3e7ad+ztS55mfv7yVuw5XAf25idnziZytfkS0KTor2aU6NIqAR/klISEhISAhcD4FAIBAIBOI/DLLg+PehqmrmSU/LRYOBfP7Z7u5Rns8MdQpZ5zyq7e5yc2l+QWv3EHGRWbnXp/zqTWIIkW3xF3qTzClZv2d/s628xtoUEVkQBC0alyAIzc25sUaHHmKcIAhOp9N+zXip//CXq0Z41+/eLfxEpr4J6bNPdfv514LPPs/661DjNPp/I9Nu6+xn69pbj0dmrk89+KlHrLSqqhyn52nghqIovkLIbTabZmjAcZxm6GFUgSorNzidpiCS/mneypIkiaKI47iutusrLLrJOJ3OpkXEq6ra4jqU0Wj0GPAYhhUtXaNbGTMw7YZc3rIdCAhO6fuWyAWFzMgG8zrinweTP5jrXkJEh0NO3dIEed+fLjcJlmWF5cv0D0cGXpzeeZu+mJg5bjYA9Oqe51HeCf9j9Y37eQYDgJgQIj2GcnVDU/9fmpQapTYQxHvUrn04cncbowIAbTjpqeQdD0Z9m6Qed6+THz70f/hnsWz9kAgPDbFYLFWlJaWFhScPH2xTs1krVwFTAHdiBovFYrVas5NnEIrgMQQPpc1SATqeX6HIoqY+AwCmigxTp4paZTLu/LcYGwIAebEjC1OvK2szzJ7aFU9NigsrY5hG/JxzOBX+Pp0ocl8Erz4DgIf63CiKZ78oZJ/XXvtXnzXKX3zv9024wPrMgliR2s/9rUJQtjD9bISV2Sf9HAiljEMgEAgEAoFAIJoJioBuYS7CU4quy6rNJs174QhJYpKkAsDUMQmWp57U3X1X55tG1x5o3S4iLi6VtkaMuowU4wm/65v3bM6ttjTLN9lqtRoMBs1VwOFwBB80SlGUt9WDVmK324lxd91V7jh5qlpRlI4Z4TRDWK3i3j9LOAMcOaoT+Xvj9YkvLqiLlXzi6Z2//JSm+RRfqvTq1Q5gl+6m1Y+rXEEBALBVuW12vVUwZLb5gnOCzWbDMMxgMPgReQVBIAhCN6pdVVVBECzrfs/b9Idl519EVHgsV/9dxH27yupb6fUYGA6Hvm5FkqR/A5DGIopik5MKOp1O3dRwTcPdWsQFwzA12zyNLDTafvj8xTeTYa8c7NiwybvcuWFz+OqPbR+ucC80P/l//HWDLRvqXDsSn7gDe/8t11ZpzWpu/ERcURyPPqzmecrEGoawsIBdyujX+4SPTamLH2HxfBlIG5VkEnNd5TTY7x3CtpOPxgsnAEDKZcx8x3NsHy2tpaqq5yJuCKven2Dd59olznH0XjhaENM3kTmje9LTYB+mivdTq96Qp9SI2OBoIfzgCxYy1rH8F1wUwgEq7p0YKZwBAAzU84lTXDMNGEHnZfzPULwXJ/H4km02OrokrE+nglXZ3Z8WBCGsqP4qxgDSj79+vsPdTtwoSVJtRI+Uk++Vpw5NhZMAAG43/t6XRez+w18SQg++LU+6JvjaLYRh+BX2LYFl5UbhPHCs6rbbYgv/1N0qhiXUGK8KPbFRe6vgVG7/aZ1/fcm7plCSCx1RrmYEAoFAIBAIBKK1uJTlmL8FDyvP1sCPxq2pz9HRbNxzz/rcXZSKzp1vlZ4h/g58aWGE3sUdZsAya/1d9T0Za2lV3Rg2GproUaiqqt1ulyRJkiQcx4O/KESxPtxPF5aVevbgBw+K5ziZJITQEPX6axOuu7btPXd7Bv+GhlBbfy9xvbVYpAMHsxv7Qf5dUBT5xGM9vcunT0lpU7C1vpqtMuW3ebxbeLKqqv4tU1RV9faYJkmS53nHmg2FD823l5Tzw/sBgNpQKS4ee6vJZPJldhmkjNsakqvFYqFpugkty7LsCuNtJpqQ7X0/F07lKlb9yYCuY65rkUM3ipie3XTLDZPHiidOg9c5pLKOXXhF0ssbJL+VvlrtHDfaPmGsL/UZAKggEkViGBY/93/e5UR0eP8BxQBwDLum2DCwimqQH2+QYVOUWHcTIFUnbztLEISqqqqqiqLodDqt0QOywm/y7I9i8zVKcFCyQ69mFOsjhtXPhH5/g205AVKoVIDPGKdl2JM+WWvHQwGgOHKESEW4djSbzQrg9oSBkVJ2ScwVpGwnFJGQLGazudPJRfFVDdyZcUVoc/LddqeWsCwbVrr3TMqkCPBc2wQA0VGNS7C590AV07NTo3ZpPvYtu0PvvdXXVt1chcFQYIn0KMnvfgsAKBgRc3yD6dQ2Vzkp2nTVZwCIPLVVt9wFcuFABIOiKFVVVWfOnNm7d++WLVsOHjzovlVb0fVfyI2MQCAQCAQC4Q0SoP99BExdck/hWlX09+s2c87rLdojxN+JrycZWe9heWAHowo+RTcTpS77vn6ptc0hN/+Rm+O4RoWv2u12zczBe5NLLnQPGmVZ1mw29+kV8sVnw/v2qZchunYNsza0EHnv/b8a1/V/ITeN6tUxw3M1+u3GXzxKcEVqs+EZ3rdFBoZhDMPwPM/zvNFoNBgMHjqp0WgsefLV471vKnl3pfXPI6SBwlkaALzvPFWvvkFROqYKBEG0bFxzMLAsy/O8JqYritJYcxgXPM83eV8XBoPB+wwwDHPq9md068fPvedvCeEPTYjXLbct/4JITohY94VHuVpZlTj/PgBoM+9uzEdUu++DhRLBndjus3QcJPp99yABEgD0UNc7nGIe1iMrZOqZkFuzTFPy2aE4KAUR9Z4hlRFXaAbokiRpxugWi0UN8cwlKxn8RWRHEecBgJVrTVKpqzBaOOW4fyYA4KKz+psjlXS6JaSrueEqEJvNZrFYsiLHCRHdZIIV4/vmxt7QI2cJ+ICQ7bGnPj2TMDoD20mCzj2/fYrn2OjbO8K7mjuFE+70X6E1sG3ejXH6UziqI6gbQsa21R4ljlOeinzSkbUAgKsyLjlxOcAMaG10h+0F3X95aGvWkWP+ayIQ/qmsrJwxY0b//v07dep0+eWXjxgxYs6cOe4VFi1aNGzYsAULFiBTFwQCgUAgEP9BkAVHC3MRflPiOJ6QYCgs1A+Re+PJtoVjT+tuclG9btvRH3/reuNVF381N6KZSJJ0NrswJ6cMA2jfIT41JTZ4IQzHgLY7BrA+JaGT5xp40apqCwSfNrYFWZa1oGkMw1xXE0mSLMt6WzSQJOkSo20228Ozesx8aFdVtfOhmZ0Wv5PpUflUVq0giDQd2GH23wuGYR++f8uEyWuKS+ruD3dMjDdYtujUBDV526t5w+ZoJhg0TWuB6jRN06II+bmwcQPs3wOyjAEQvfuL4+/kE2NtNpuBokve/vTcqnXurVl++d1R6QQAjCIBGmQbEw4f857GYBjG/btrDjiOGwwGWZYJgvDVoNFo1MahK78lTdOyLLMs29g1K0ajUWtBV1UPiGaTrb12T93pQs4r8RX+3O7OMU04YvOhfCxKwCMjah9+RnXqJJezvvV+7Nz7qOVLG3ss/K7/BXnHMJpMif93f8Hz77lKwm4e2oapd+ZgGMZisbhkXzNEiPzoNMv3JYYuMfbjABBb9pu5TQePZm02W0X4gIiqPzBQAUDGyATwvJOoUD+JR4H+7TTFvvvMrCdClyzECLIycZTuDwMTb8QVp9NsqQ3rKtSWdir6TrcpBYgaPq0isq8Rq8xQ93r3QaNTiudI3ncgQG6AdVsqXtqySrXZmbDQlA7/z955hzdtrX/8PVoesp29QwiQsEdZpS1QoGzKKrSlg9H1K7elk94OuvcubemEjnsvFMrlQqGDQssoe7TsDQmQBELIHpaHZEnn94eCMbZkO4kDgerz8PDY0tHRkXN8LH3Pe75vNsb46Op1p596WyqvDFMLrgeenLwG1nC0/21+W+xLVuKHMur6WyUTVH6rGw+9tIg/9ouyZX+vO1s5dmtN88iyfGWbOOk0kF27do0ZM+b06dMAwDBMUlJScXGxX5mePXu+8MILcXFxGGP9DlxHR0dHR0fn74YuQEeSixbRMOHmVh/OUgnVuebq+DPjHwUAMjZKqlBPy6aQc+uT5bcP6/fN2/od8OWCLMuLl/z10Se+f/c9ADD9kY5h1mAzoM9+OBO6XESp05eCIAjFFZdlWSUmUUHRFgOrIgjCNwDc5XJ98en1PyzLCVSfFaqruYSEmLo0//KDoqgli26fPWfD3Pm5JInusqwEDW9nylWVueLZM30ecRjjQJGenQ548Qko9X9mlgpPHRv9fwAQe9uokwt/DqxKzC9EtnhkoFHAdIhUUspQlCAIBEGwLKvYfVAUhRCiKCqclcjKsVrB+GazWVGESZL0c7JWTocxDhSmld7lcDgUH2qapiVJYllWVRT2YjKZvLMgBoNB8Q4Of5UAy7LBNXeGYQ5PnKG1Nz4pKcwTRRatC5RLygCA6tpJ3L1fZfeRg0AQUCezbIQyx98cfvHu0+89O2uBVF4FAECSA55rCXA+yriFfUmueaxvf3CIjJNKSjSdqZRbxvAnACCxbA1nus53YMEYV0T1jDtnglFq7pQCeb4nlYDEQFBQq/YycMGknS9ZjtU5r/5HlmXynJG9HxhQtVNMr9wbbz+QBOtUK3EyiZCaGofL4mAjYLBDvBXKMBA1dEvWU0D5TPbEmfxbwrKUQzuRLEIw+/Mbo6NtPltQ28ED2u4egDHeMOZu17bLZskIdrklhqUE/y/Xsf6PtV73UWB5e2zLo3zrgqc/A9HfS3zPl/O7PThJ9SzKwBWRButceZSXl19//fUOhyMxMXH27NnXXnut3W5v3dp/iqtt27aJiYmFhYV6BLSOjo6Ojo7O3xA9mqPRUQSXyLoHDhns73gLAAhB/5+/UF4HV58VKr5fuf+/P4UsptMU4Hlhyj2LL1Sfa5k568CodmG5f7JM3SYbBnSPb7hToeoMh9ls9nuSpyjKZDIZjUaO4zDGHMf5GkTQNK36tCZJkm/9ipfruLHZPbonqDYmJ/di6+9eZFkuLi4rKCg6c6Y4UinstEAI/WNqv7W/T5zxaEujqzxYSYC0TbNarXuLsZ9lZjwCD98dqD4DgNTzOuVFhZr6rGDq3p5OTQQ1g6Ci0beyBGHkecePv9TM+bZ0xLizE++9beKq4H7fXgRBULVkAQCj0eiVdCVJEgTBZDIpziFKdLPT6QySXBEAOI5jWRYAKIqy2+1BbEmUTuj923lVb+XwQFiWVTq5UsZisQRXnxFCnkMnRY2hO+HBCZdqslDWGATI1q2I1OSEt19SP6qk1PDSK3U6EfPiK0x4XUKBoqiBB39WjIM7//amES7wuKCxsxm/0bePCYJQaB6MAKLZao5JAQAQ3cElRcro/5mTINnpFhKEjn/HQIiiiBBShimlW5rNZsXWxmKxMEJ5dvUKkVLv2wBQbWzOphgsuOxchWCFMqXmEvN11IVLDdKpHJK8oLUOh2hgNO/xvp0z2Fd99gUh1HvJV2RCCAePJoWHUfnm+qnPZzOu21zV4+fZVaseWlnwxCwQVcbhgle+aKwm6lzRvPfeew6HY+TIkQcOHBg7dmxSUpLNpvL9io+Pj4mJCYyM1tHR0dHR0dH5O6BHczQieXmnX3l9a05ujSI+Z2fZXni2Z1ZWZsNrjoqyXtUlds/eCxbYPjeSdr9Y5LvF1rc7HW0t/3mdVj25d7/YbtzwcJI+6VxCZBnfOWWxlukKAMx6a2+LsaHTSRkoFQHLyCC3oB6Js+tI1W2D03wjkeuBqoQtCALDMEajEWMsCILRaAwUCsOZs1GiVn11PcVR4ZFpnSbfo+I78eQz29atbl0/84R6gzFeumznR5/sU3KEKgwfkjbjmUGNGk9nNBqGj+l3Zj+TuuWz4CVJ0W08udVTclargGDy95UOJGpIr6iR15e8/x8QKgOOF86OvWDVvOOpGWPptIOHKjp1jFfyVQavXCtYTAlw9r6VJCm43KyKb/9xOp1Kj6JpWpZlxdnDaDQKghDYbSRJkiTJ4/EoYdTe7UajkSAIh8NhNpsV+2zuQv9fVViW3Xnbk1p7u730UF2vK1IgDdsBxJpBlLSMvKXK6swRNx797BMIU2rp3bflaP8EgCGxRNmGF647s/uPdrYdKnvFUynkwTNMe+8g5nS5j9tua1Wz0GwRXdXRJv5soA2LV+j3EKYEfNJ3l2J8UWrqJVBxSa6t57apc6L5A26HS0k1qRgKeU9kMplipJNyVbHFU1TBttCqoTKxawycvy4EIANBgCyQUQj7D8sIcEYz88m8CyY5eEFlFO3eLfbeKVlt2mRonRcAKJrut2vllpunurerxEGzg3p3+ewNa3S0MiUjeTyOquod192EnXX79tnuuaXm2//V6RAtSlK6N8/5NXiZ3R9tde05GryMXOOwV1Vbo0OPeDo6vmzatCkqKuqDDz5ISFCf/1YwGAwGg6GqqkqPgNbR0dHR0dH5G6JHQDcKsixPumvRHZN/O3qsxiuj5eTWTL5nzYznlkfkFK++1M/37bW94t0v+qcWrNm4s3z5huD17F/2W0Tao9N4LFy0NYj6DAButzS6ZYjUlABAqxXRUp8BoNoRgch9t9sdGL4qiqKiyjkcDoZhBEHwCwr2NYBWKmE0pkn8nuIUkwSGUf80MIZHp2vG8DYGLpdr2I1z3/9wr6/6DAArfi8cMHhuaWkIk9YGghBK7nzdmWEvhyyJUbD+U7knL2QN3PK1CIDOUE9YdwEfzVwN6be0NVmaRb/6xo5w5gMUrwzlNcuyVqtViSSN+FyCLMsul8tqtSrSs8ViURw8RFF0Op2CIKjOGShh1N4QVwBwOp3K/x6PJxyra5Zld3YYq7U37q4xrFow3cWB0Eh7S6alAID9vU9V92I7hxDK+vEXCCNwGw8a3ObjWfVrntFszrYd1Noby+9vy/9kPdd5JEmqcQg5tjsJEOkoo0gYkot/9utFPmORf8uV95ivjnEfUC9xjrLoazkX763N1+9VWf/hkgzJxnwASHCr+AXxVFRO+oRMtMtv+/GoiQBglMoz7L8EHjVkQOiY5edndJxz78Fe1I+Vh5YFL8kYDP1++lfHdYuoZj5faobO/N9nfRd8bouJQQgRBEHTtNFsjktNGXxiS+KbF8ygWG8ZkfbJy0FOESn1GQDsRFzIMiHVZ4XCzSqTGTo6wTl06FB0dHSLFprzSQoEQSCEAhNa6Ojo6Ojo6Oj8HdAF6EiixPF5PJ4bx3x3/IS6l+j6jWfffue3hsc+xMfHzv12oPKaINDA9fPUy4USEPOmPN/Alug0Kh6P59PP1R2NfXnnzb23tA6mIVIE7NlRWqdTPz2ppaKjNQSCIFR7u3ejw+EIDKIkSdL3CU35Zqlqf75Zobx2wEEyy+3ZW3nRnv1kWR4/YbGdUw/vlSQ8ZvxSl6vRG5OcmV1126dYUysDCCVAC2dCB7G6Nu089fj7hubJwYsZ3nn9JzGdAEAIfsvzHD5SSWrom/71u1wmk4kkSZfLZbfbnU4nx3ENt4gJxOvsLAgCx3HKHIzSXWVZ1vLBcDgcHMdxHOd0On07mFb/94VhmJy7XwBJc6zu/tYT9bmSCKGVeI3/5Xem99XmDm1V92LOAQAUTbf5axfEaYuDJIm+mNPunfcaYjCCINjPHIVdWTULTCZTbcMwtnPOHNskDxlFRxkJoSYKXWB7IssyBgIASJkHAAwggiEnarKyVwBDG/4nBttljdsnDMhpbFYR1cN39s7XxFwZVJPwUQKk3LhRZ9muZ+L6YgAM6ETKWFfzjkTzdFOatQ25mQi4LqKmNsMwg1Vi6nt39p5O5cMkSfTDJ3E3pa9S3iZLB8oPLgveORFC6e3bDNq5cljJ3tp/p3e07ddHtTBBEN3um6gUG1q8Z1jJ3t6fvdVpwk3m3j2CnCIYNAVhrxERyRDmLRj8x5kOOxeqliz4+DvNSvSoVR0NOI4jCMLvLiVwWFN+X7Qm1HV0dHR0dHR0rmx0ATrCYIyfeXZFdbWm/gUAPy0/XVCgudo9fLKyMhfOHx4Tzbw+Odq9P6fe9WitodZpCny3YFuYJV99da8ltyieVfPZoGDG8PRKex3UOhtLZSSZGv68bTabVV0R3G53EAtghmH8gq9VPRDgQkXAq5SJopiZadWqfMvWYyGbHRFefnVlVVUIA5MXX1l1EUQNW3RM5S0fBimACU0VGBOE+8994Zyl6+Z5Xd/UlErNt47r+OcGpmMnAJAB5uxzA0D4ly5JkiiKijOGd2OY4nWkkGU5TN9qBYvFEnIKByHkOZpv36b5CSdOvcVySQ0BCIIgmqWq7jKOHcFXVakfFVeb7RMh1Pb3NaavvsFpab4FsMFIPfdi621/tbn66ga3UW2KC1CZoctZ4zUAgECyQLlvb+E47jQ7lAIBbFYP0L4iuyzLAh2d0/whAiQeTDJiTllHRNdsVPbSULtm5LjtTgCQfHzMHMZmOZmPHMuYdsw6xC/s3WQy+U6WOJ3OKqYNAGTjTS2p3emWk6h5M9Q8I4vZwYL656lcJE0H635tmdqI6czmVgCIiTkvcjEMse5jrjlxQRaBVPlAcb5m8HhD8NXd+iz5ioyvc+pXQ7eOg/K3Dzuzs+O2pZnfvANU0OnV1MQuI4YEn0XL7zTOb4tzzZ+qJbmNuxrbpl/nyiMxMVGSNC2JvChuY+np6XoCcB0dHR0dHZ2/IboAHWE2bTq0dXvoONOnZqyLiOqU0Sz1lx8nSqs3NqSSwmO5DW+JTiMx//vj4Rf+a0f5xm/2D2h+QQzONZmGT+7r2Sw9RGiqLx8/3v7dh9rXw043ELvdrpWljabpMI01FBT9CCFkNBqNRqPVamUYxttIiqK8Yp8oikMHN9Nq0kuv7vho1pqzZ8saVfmtrKxevbYoZLHNW0qKixvXiEMhOi7h7PBXNC8Yaf4WyC1bB6+ZYE3Rd4zuvHFRZrvWtuho071T/AoYRg7rvnf71e+9FZeYGHN85xTPX8qTd5pJHjMqPfy/gsfjuTj+3UGkAcU0Jsx6wrk0M80cuUU7wJlA3d+YHubpGg/ToP6q26vueoj/7Q/VXYpBh5fm3bq3+2l55uZtcT/+Er1kWcIvK9pt2ZY1bpxWeHWdkNWyWSDAUcJxO5N10jIGANIdv/lNHnAcl2e9iYWqZu7VLHN+gYUgCHkpd6QVLSk3ZJ1F7UgstLAvFTHjrVbpHC1qFnIQ44Lz1ihFKeOUEHi/vztCyK9HSZJUjVJln0yGBGACQoieCMCA/OczMECObaKbiAEAEkSjkQSAEydrAKCy8vzs1/svpJtRTWCdze0hgqADwRiXni48tmjJ0YWLS07mhdRqCYIYeGAthP2HRgzd6+DqASvnK3+R9JYt244a1ufwH8hkVC1PN0vps+Wngp371myJPdNqoEyoB03XlPu38+RTM7XaUHFWzxGnUzc6dOhQXl5+6NCh4MX27t1bUFCQnZ2tC9D1gztRYM/J8/7jcvOdJ045T5xynjzN5eb77rLn5El8g1KY6Ojo6Ojo6EQcPQlhJBFF8cVX1WNq/Dh12ul0uljW3xu3HiCE+s97/7erb3YfOhG8HJCEatp3t6OhNgs6jYQoik5nnUOxPn9nz/Bhadm9UtukRbdtnmg699w+fkDikj9KQh6eHMdIosAJkbGGUJ6y/DydFTiOs1gsqkkOlaW/xs8AACAASURBVPhov2Aip9PJMAxCSBRFURTdbrfiAizLMkVRsiz7Rh0O6Jd2tsjx4y/5gZVLEl60OG/R4jyaJvpdn/Ts0zcYjerSRkP4bsHOMEvO/GjLu2+PingDAklsnsXd+YVh8dMM7y9FYW0BWsrIBNB8qG724fPt7xjnG1vacfojO1f8Lp8pIjIz2PFjW94xISY+HgB4nq+ecVtMTXkMwCNZB2a3vqvQRUDbTIIgvP7Ooih6OwxJkkqwM0JIEASln/j2Ft/ph8ii9EzVzIEYY5qmG5iZUwEhZBCkXb1uCVIm69vXTJH4mWggbNtsVR9r65vPOz6eLVWqBO2SCfGBG41GozE9PdKtg9PMdS0EFR2cxlx2zXcOMhUDyrFNTHTvLmWv8h0l7DyZY7sDAVg9+TKRSJtMSo9yOp35iTe1O/25y5AIFGCAFPC3DyZAskDlSbKv7dwuLcd8i8Vit/tbcomiWEm3OiVmXYVV3Jy1cAgXiFYY0HHrBEnG5LmchP37Jqxc5b++qkWmpXfsdq06yw/+FN9xTDhnr6mszPvqX9x/vodz/b8cIBcg5sVn2k68LYigRhBESDcwL7ZbRsQEpHGzREUNPrl131fzil//FHtFJYJIeW16x3vu2PLoa6XfLAWAbSs2E1GWzBm3tzHlmKrP+NZQ+FEd/Kb3PfHOwIUfB2739fLW0fGlR48ev//++8MPP7xmzRqDweD9IfMWUPJe3H777S6Xq3v37npHqh+/X3Ozp7I6dDkAABi295eo9tmN2h4dHR0dHR2dOqEL0JHk7Nkyng/3KWv9hiMjhneLyHlJklw35J4t1lKKQslJxt5dLN3iXNWz/+vefz60OXXabakP37GjjYrOJTt1C44mitNZT31txcrCO29r37Jlhu/GyWO6Llv/uySHiHd78s5swPXvEhRFeaVDo9Go6M4EQQQGyrEsq6rxAQDGmKIoXwGaZVlFaAYf0xitwwHA7XZPuDVbVYD24vHIq9cUrV4zPy3VfO9dbYcM6RKReEyl/YsW54VZeNOW0LMCkYK12qRJnxRu/Tnt4GLf7XKABYfUobM4eKQhOsbl9AD8GlhV0jtPdZl8KxUQkkxSVOaCb+MTEs3nZGUA4Ow17hkTaLdDNpgJ3mnL3ZXYeUqBAwGAJElK6DpN00p2ytqmsqxXKyQIQjGA9u0SJElGRAgORPGA1tobkU5iMBgcG3YemfZmkDLmnh07T7gYMxMhSehznWofrXn4mei5n1dNfjBwFxUfOilcpIjJ6Aa56oHYAMBKZwCghX0JjZ1W4Xiebbydq+1Xoig6nDLGGFtata7+7rh8NRGVpfQ6ZaihPTVAqbunI5DzLGNEMqpc6Gly5pPg0bJbUQ0xJgjC7Cnrgo9UQUo0hF4qAQD5RI8W8gUz3PmWURhRLR0/0rj2ip4fk/PiWJkEj4zJo842//uDXr6icPYTmuMkAKTh/eL+Iw4isczSNzktU9Vq//juPaXTZ8inzwTuAoDKV9/e+sGs9qt/iY6PO5Wbe/aZl6TCIizLZFJi4lsvNW/fvk6OFtULf8YzXwmU5wiCuGrqFHz/ZN7pEkWRpEij2YwQ2vzMu4r6rCBXcyee+eoEAHtNx05PD3eBqXJfYcni9YEz9Nlr5gh/HsyfoSI0V/+4bsV1E7I/fz7rqk7ht1zn78yjjz767bffbtmypVevXk8++eSYMRdM6lRXVy9cuPCDDz44depURkbG9OnTdQFaR0dHR0dH52+ILkBHkr37g6ldfhw6VDFieGTOu2nToU2bSwBAEHDBKWfBKef3AGAc8fpdBVX/rs10f+bT78988V/Vw6kYTbdcnUsLz6ubiSMU2jx3+pMbly2503cLwzBfzOjx399yrCYKK6oIBqz4p9a+B4pCrInkuHDnUQIxmUzecD8lGSDDMIHBqloRpl68QdBWq1WSJD9P1ZB4PB6Px/PYw50++mR/yMKFZ5yvvrnr9bd3LVt8U3x8bJ1OpArPC5LURNNVkRSV0vcm4ZqR7h9et1XWzlH5RkDLicnRX/wnOj7B+4TcqWRozu59p2e8695z2HRd19RnH8zu3pXQ9l+W1i5x7VwN7y5RNOij2zcnfP0siTEAVE6cEffNCwBQ7EIAMKol7ZXtAnU6ZQKD53lZlgODnRvvAT5I50QINdw0n2XZIzc95jxyMnixoes1k6FdZIw+cwl+qKrPAGBu36bRmuOPN8FgEPKs45pzP4Is0M6TBJHsnWBQXjgcjtyoiYBlqM6PtiSIJIsQspOJiabaaGIZCL+UgAjADRYS4LShC2PtSVEUOBwAwLKsknLQ4XCwLKvE7we2h+f5PNMQi1gYwx8I3BtIJdPOxbThnceNcqV3o4ewYUD5ltE2z4kk11YAMKFz/RZ5OrF7O42El0ciQs0j2xcKPFFyYVTNQqgBGYgjzOhWbToqu45s2Fhx70Oh2+dwHrpuIIqy4arzwYliReWZsXecQWC8e1I411iLJAtut0Hjb4oQMvqsCSg7W1z88Xz1Fm07cGxpi4q5P2udJ2fg/akz7tPa69p9ZN+1E/dRZK99P6S1yAyz7Tp/WxITE9evX9+vX799+/ZNmjQJAFq0aCFJ0p49ezp27HjwYK3ZekJCws8//xwbG4HbDB0dHR0dHR2dyw5dgI4ks+f4r9INwspVp5+YHoHlnBjjZ55Xz1P30pHmT1jNsv1cWJakriqmZ7dqYBt0GgmTScsiOfSxJaXuAwdOduzYwndjs7TkQ1s3HTmqvoAxLtbw8os9ZVkOqQ4Hx2g0ut3nHTxkWfa1zTWZTARBhKxfkiSlJQ6HI0g4anBSUtTtp1WRZRg9bulPP0RAg66rrarT6TSbL6rTAkXTlgmvlJWVoB1LrUV7ZdKAY+LkDp0tDzye2MzfPhsRROvuV7X+fUE4NWOMrTtXEYKbf2xE/k2PJvzyZaLnvGKrqM/upOa8jAAg1UK63ZQSIOk3GMqy7Ha7g7ijRCpc3Y/gnd9sNofMKxgcs9m8v/89nuLy4MX65/3elELk6jybYu7QtjHaoUWu+aYs59IgBTCgPMvY7JrvMsXNRyx3+v0RZVlWvoNEdHMjn18pkYzBVJxxu6W6dg6AABkDyEDZIUEJWBYIG8bYbrcrHcZrGqNshHNdRWsoQAi53W6RSrIyZ0EoBwARGfMto50CsIwczR80iyUGuRyAQCA7yaRiphtBEIr6jKE2KFvGQBDI6eQtlP8vhQQUCSIAhFSf/SBAbi8sk/b/XGAbX3Dng3Jx6JwWtWDsqz77bAf3t/PYodc7ftvgt4du3cJzTGUaJswBH2O8ffj9QQqYe3UKIkADQOVPmoHztYjS9vZjum39LlMPhdYJRXZ29pYtW6ZOnbpq1SoAOHnyJACUl5eXl9eO9r169Zo3b15WVtalbKWOjo6Ojo6OzqVDF6AjSUWlSqCTlvlhPbx9VSkqKpM1TBUkCec+80rL554MXoNFO7pN59Kilb4vTJ55ftPPSzN9ZSy3262lPn8/bxDP8x6Px+kUlVNLkuSrI4eJw+GgaZqmaSX8GQBEUVRMdeFcAGmY1r2KZ2JdG+DFYrHc/+Dquh41ZvzSHxaNTUpqkIGA2103a4hLJTXGxifCsKkAkAYAN9wWkTpLyiurrh2XsX4BACQvVVneDgCO5FYEgJXGvCD66si+ap3SSdxut+mcM68fjZFDUpnw0NpL07Tb7W7IeU0mU87k50Kqz1nz3oxNSqr3WSKOR1BfigEA1jeetT+nYiTiCV+4jATpLdtXHdgWxMuCcuSJbKabjDdJpTRSuRxJkjDGCBEOQwsaYyxLGJAToizgjTgmSBCrIFU5y0myj9ItOY5jWVYURZ7nCYLwStvBJyqMRqMJcR6CFQQbKG7OlptlWfZ4XFUeqIK2BNHexJpkWVZc77HH01KqzTasDBZuIk4JtWZNdErNeg8wNJwfdhT1ud6QIFlq/qqD+hwKulhlfZiq+gwAEN546HY6+SN5QQqQsSFWd6VOu+34g2+EPNGuaydGF6yJVrM119HxghBq0aLFr7/+unXr1qVLlxYVFVVWVkqSZLPZEhMTR40aNXDgQL9UqE0cxY3Key/XNKjD76/oEZtY44Oh3FpIknQZtVkVr+fSFXAtyqTy5X4VXq6Aa1Hmp0VRrHdkUlMAY+x9lPAmv7lMUb4jTe+X4jySXDfBrYkPXKIoQuM8Al9MdAE6sqj0hiAjJMa4oKBowcL9drtos9ETbumQmZla12Ho5+UHg+z9Ydmp92e/dHbqK1oFCNPldDf8dwMhxNCE4NHsQ62zbbnHazBWj4muqBCqqmpiYqK8W1asDNZbfAdch8NhNpsVHdnXjTc4JEkqhwSafjZESq4HZrMZIdSje/xfO8rqdCDGcNMty6Ki6J7d4202xuUS4+PNva5Oa9c2zZvOMSRGjdB1LUhtO4vLC4zx13+VOIzXdrj16tHLX6Ic52c73G16MPmHCLcTAJY6u659bxMA3P7d4MD8bL40MBi/HgT5UTcYDA1pDE3Tha9/xe0I9h0EANuQazuNH1HvszQGkobrSMzCr2VOfWRw5Z6AIQMbs1EXgBBi2k9xHfrSBCoZEQGgpbSxjHeYpFIAsHjyqyE1sAzHcQaDgWEY0cNnun7LQz181GdAIFdCaibUJhe1QokDatcKeIfH8J+IzMjenDsfnFtgHibLMkUSFosFIaTozgghZSyladpMcCx/gbxulMuVYjJQR03j2rh+gHO3IG6wGYDz8wypK1aI5BSCfDI/Zvp9lTO/DqdwmPdAOX9sCV7AteNw8AKK+mwb3a/mp/XBS2676eGhGxdc7nf8OhcBiqL69u3bt2/fS92QCKBoCtXV4Sb9uwiwndtjd7guWHYHh5tS48PB7XbXI/KjaVJX67wmS5P6CjSEpvZ1rjfBHxwuL2pq/NPCX47wPN9wf8JGQuDrFhPmcrkaKcV9RFB+IC7321FdgI4kY0ZlLP5BJczHZCJdLn89jiDQoGFz3e7z23/65ZTFQn09e3BGM5VnYy2W/lgQvMBT31bOaJPJH81T3Zs1/+3wz6Vz8TGZSFUB+onHumz/q3jT5rPBD9+4KXf0qO7et3O+DiF++eJ0OgmCMBgMTqfTYrG4XK5wckmJolinlFONgeLyAQDTH71q2/azH38alsuqL9XVntVrz8s98+bnAECXzjEz3xsejuEsrZbIKwi+FiWXNUdOFDhEBAAHq8mjfV+bDPvTVn6l7OIG3RG1+CPCXSBYY79fctp7iNVq1bqVJEkyiOAb8fAHvySHfhAE0cC7K1xQXPq9SjpHX5gWaf2XfNrUoiFIjag9+5szcY36H0jSEKYbD5KkhNb3Ccc+ZUD96T2e38WD5TTZNcF9NMrajHOD30iFEFIMNMxmMwMO2paGqxHymVe2Qhmcc7dI9uzkbO3qNyFBEES8a4fvFoFOiBFykx1b8IXyq0DYRGQ0OUtRwPR2HupOgyABk1Uzv9xwVSXTzirk7iNGdIT1HiLKJDb0kcYIHH11N8+fuxpYjxe8cnmYJRlt4x1fyhb9FrxAzW+bQ1aS8tqDRS98HrKYc+ehijNn49JSrpjJQh2dkBAEQdO0zWa71A05j33XIaEy3MHNYrY0qcYHR/n1MRqNl/sNoVeKMpvNqlltLyNcLpcsyw1cjdoUUFROmqbDeYRpysiyrKypbSQXvouGw+FQbkGtVmtTu+evE8piZYZhmuz6nrqOqCaTiabpRmpMw1Eu57LuM6AL0JHlmqsTVQXoQPUZAB6Z1vajT/zDczhOvO3OFf36Jr/x2vAwx9aamhDLBGQZVl4/ZcBRlSBowsZ2GNo/nLPoXCqys2w7dqks2O/WLeGqq+IfnNrxrvvWCoKmEnfi5Pl4wPLyqmqN3vLaSz1VQxVkWVbuI10ul8lkUjLCKas/VMEYG43GIAUuAhRFkSSJEJIkiSTJa69JuaZXckUFP+3RjQ2see++yoFDF7z5Wo/+/bqEbEPLltYTJ8Kaoo+Jbrq/c3Xlh2Mur4AmYvQtdG417sPblk4nMI7/bLqyfUPX/4PNecprQRCCqLokSRqNRtWeSVGUam63hkAQRJC5E6VH1alC3/sDC2vZOeqO4OWZzNShe5Y1wQc22qB+9ybuO2QYOVTKU5kEjep7bSM3SgXGYBTbP0Yc+oAClYEOAxDgkdhMW81Gm33xMdskP/kYYywIAkmSJEFgQACQa7szu+Z8KkgKBDjnblFXb2VfCIKgxQt6NcY4hj8IAAigDJq7kdWEq+PgFCPXMKCutgjmVgbskpABAY7nd3uQudzUI1UqyDeNBoAy2dHSvkQGUkRGBtdzMiBq4o1lkROg5cKihNenlz4/M3gx2603hnnzU/XDmuAF3AeOh6wkHPVZYf8rn/afE9qvQ0dHwTdA6TJ9VkQIEQTRxPTQOnySFE01scYHQ5lTJ0nyMmqzKt5HAIq6nD5/VXiexxhf7lfhBSF0uV+Lch9O0/RlPRmM8fkcYDRNX9ZiurIUr+n9Upynrl2liQ/CqmmTLjsu4x7fBGnXrnmYJSkKfT5bM2Ph+o1nR4yeJ4oRCyPduacy5sl7Ardfv//HMM0WdS4Vo0dlqm7ftauEpogjR8vnfjsQAOLi1CcePZ7zj0C795zSOkt2dnTw1RzKeOdwOILPcMqyrCg4Qco0NiaTyePxKFnF7Ha73W7nOC421pCYaPrPN9e/+1YvkmxQn3/2hR1jx8/3E9kxxsePn9q6de/27fsOHz6xbv0uWSPnZyAvPtezIe1pUijhz74cd1AfDP/Ymd5aeYsBZn5VAAAPTO3w9Zf9g8cUC4LgcDhUY08Igoj4r6/iqKu1tyGnY1l2Z7vRwctkfDZj5OEVdHg3PbIsb9y457rrv1H+3TZx4R/rdgnaTs0NRCsilWrflv91leouQ3od1vFEEJKkTrBjVHchAA8ZQ0m100KZ9mWqoxnGOMW5rgJlAsa+6rNqhfUDYyyg8/bEGAAh5CFqkzFIplTGYGKh4pR5SI5tklYlNCEJZAwgtIcaDwA0dia5tiYJewDLKY41LexLSo09DxlvPkgMPWab5CSTZagdlmWgK5l2OIzmpzaL8CJE/r2ZSS9PAzLYnWeb5x8Ntzq1MdZ2fXe2a7u6NqzH0WC5ChUqvlvelJ9JdJoIGOOSkpIvvvji1ltv7dOnT58+fcaPH//JJ58UFRVd7mtmdXR0dHR0dHQaSJOLtLqsiYoKkfHmXDE6O9u2Y0ewPFQ1NeIDDy2b88W4kKpHSoqpqCj0U+L7e2LupUi4UNRe13wQAKQ8c0+3p+43XOarcq5U0tPUO5UsgyAIJ/O4tevOkiSaNbPPnVNUwsEkn0f0k3mVgQUA4L572oYTs6x0RafTaTQag1jUeTweraxxFwHFNZWiKL9gVbdbmvnuNW63OzaG+M83/T0e6bmXdpw5EyxLWBBKSt0DBs9dMPfGZs2SAOCXX3e8+fbe+lVFkqh799b1O7apodUr3BL6oMPD9zZbm7p1qWi08LwMAAsW5vTqGVu/NA9KkHvEI6ApilLyyHllJiVIQVENCIKo6xmVrwxN0wVvzAlWjKa6bfmuecdwVbPDh/PvnXpBds2CAsdzL+4G2D3hlsyHpw2IeDCFVlC2eOiI1iGWqCitXY1N85Zt8X4U6FkBAGbpbJyw/4RlfEtuCYPtRlIInACRZbmQ7RftOZZiX4EBIcAiMBSo/OnNnjxsyayrCwdCiDUZDPbza1NOWUZIknTGfEN2zXwAXMNkY4yLcQsDZQhyA5Do3FJh7GwRTmLz1UqQtAusRrADIorYgcoMHMYCAHAcdxRdx5iYbPcvJaZrUp1ryw1dSo09Wtr/R+FgZqNxOJ9IStBKRUhf39uzIbTHhR+uDz+LapngNsVJldVyVY1svyA629SnR1xy2Ok3EQrMflCzYaffFmNmGhDIfeI0aFO66DfV2i5AVw91giLL8vbt22fNmrVo0SK/ucylS5c+8sgjY8eOffzxx/v06XNZx7vp6Ojo6Ojo6NQb/R4okhAEcdOYjOBlenSPIwkiuPqscPBQ1bbth0IWm3h7y3DaRtH+6rOXore/XR57zYktO1T36lxasrMzVbd/OGvf5HvW/7w8/8bhzWQZq6rPcOEjsyCoq8zX9koORy9WJF1llbrFYglS8lJFQFMUZbFYaJoWRdFXMjMajQyDXC6XknfY5XKJovDum73mftvvvnvaWiz1mYeTJDzhzl+OHj316hsr660+A8BHH1xPUZfxOjJfgveib2w3HJz05pFB05S31dWC0WgMx2bLL2pMWa3WSDMcDMMoEfRKIiCe55X/eZ53uVwURdXJPs/hcBiNRoPBUPadpvstMtCDCtaGrz7v3XfCT3325b//y7tz8qLGMGEnkhPrUNpkslxS583DBs148xomWwCj0qXinH+p9kCHw1EopJWbeyHA5ZChqj6LQJfwcSQIdXVUtLLGVjXz6XO2GBjAhWKdTifHcfmW0cettyiLNiiKUrRnF5mgWg8rFVVL0axYaLbvkYGshLRc1FsGKqFmNQB4PB7fL44ybjvoZlHCUQLklvb/MbL9AHljcElVAlKuuHDakiSMU+9G8bEAEFx9NvXXTMKGS0oN+UfMNUUWwmGLgphr28bdPCDhrpEJU2/OeuNJAKgoKdn99gfbR9289bqBO6Y+UrB1u+rSBOvAq4M0IPq2ocoLd15hcPUZAPJf+LTboWXKayolnmnVTLXYpXWX0mnibN68+YYbbli4cKHWSpply5YNHjx4+fJwzdB1dHR0dHR0dK4wdAE6wkx7oE+QvXdPabVjZ3lFZbiZrJ54alvIMjcM6BBOVVd1jg5eYM/Ae3PXhz6dzkUmuJhbVSXMeP7PIIFZrVqej0PUUqVKSkJreb5Rz7Isu93uIE61l8SZSMmtoWRx4XkeIaR4hFksFpIkAwOOlNQiN/RPe/+da+p90rv/7/eVvxXW+/AZT3Xt3i2r3odfLngtT34osZbI5yP6t/9VbAwj25ifAG0wGCIe+wwAJElKkoQxdjgcWpKiokcHn33xRZZlkiSLl/ye8H/jtP4NOP67NTrcYOHS0vIHHvojeJn8AseM50OkOqwH7PDB4Rc2Xtsj4g2oEy2yNH8Wk50bMMZVTBsAiJJPBfEUkggWAKqtvXKiJvs6ZiictN2aIOe0qvlvnYIZrRa2Vc0C3/ERA+WVNStdhN0pAgDLsinCDgQiAJQZu0tA5VnGFBuvwYAkRHvdM2iazreNZ7DbDdYYKGyFt55gBiCAZvafU8TdNvYCbZ0gCINUYRVPlaDs47bbEUhpZB5G9FlT78PsHSest5SRbfxae1ruAJ5zkitrBgCQZPd3/8VlFdYvPwx+pTFPPoqSEpE19JdFOnTEs+oPfukv/MLF+aMnbB9585Heg13fzJWO5ODSMmHt+tOT79/e8/qyoiK/A+MmjgxSbextw0Ke2pdd7WqdW8SiMuG4ul3VgW1/1alOnb8PW7ZsGTRokNvtbtWq1TvvvLNz587Kykpl8rKqqmrPnj0zZ87s2LGjIAjjx49fu3btpW6vjo6Ojo6Ojs4lQLfgiCRFBadSMpo9Ob3LezNVIiL/cX+bL+do+j5r8ccfewcMCJbxzGazxMYwFZUhFJneVGHIdcL7hk1NKdnMhvHEqHMxGdAv6Y/1xfU8dsB5ewfVZJgAsHLVqYm3h4jcpyjK12BBFEWLxaK19jyIkW7j4fF4PD6GDh6PR5GWEEKCIKhKlsohFvbSmM+8+WrP/v07X5JTNxJauq3kIyCbTecnVD6ate/7eSqypsViUYRgADAYDL4+0Uaj0emsp3FKcEwmUzheCkq6Z2WqI4gRjYLFYjEXHWjZyZA2403VWRlRFMOMqSwuLntqxh85uer56PzYtLkkL68oMzMlnMJhknrXHUf/NT/MwtnvvhrBU9cDgiDyiF6Z8vbAXTR2tnT9yiNWQgyJBRt/xIGaqXqzSshQTWcLmHHa7YXs4BbcD757s2tqP406zbeR2O1XWkTnvzUYY4IgLKw5q2Y+Amz1nCgku7nYNlVkS4GweQxRNUw2IGTyFKY71wBABrecwQ7yXIB2GdsHk7FFZFRb12KjXIncJEe0947GJEmW0l1TnesScU6U/Wyp6WoHmYSZq4qEJIxdLgCXoauDyGruOB+eWTjHJ9be4fR9Yf/H43Du+lP++29AqOKtmSLnkI7lKJvP3Hhz+B+LL9LRnMCNuMZ+7Pph4tpfkpudj01uM6x/nnY9Yom65VRwkIHBvObdFKHnzNDRYPbs2YIgdO3adcuWLX4TqwzDdOnSpUuXLtOmTbvhhhs2b9786aefDhgw4HJPIqSjo6Ojo6OjU1f0COhIUuXgAGDsmO6DB16Qf4mmULeuMfVQnwHgpVf9DQ39QAjN/nxoyHrQrn3hnG5d79vDapbOReSxR66t34HRUXR83PnId45TN9ydfGdrAGAYRiscVVVr9ng8LMuaTCaLD8quprBO2e12cxynNDt4wCxFUU89cdXQwSkfvNMrLVUl311kSUk2vfd29w1r77rC1GcACCecWSDOC9AYQ2mpyzeAlGVZJeUgxphlWavVStO073yG39uIw7JsOAHOLpeL5/mQJQ3leYl/zk04vLzs308H7sUYh/lNOXGi4KZbfgxTfVZ45rn14RcOB2t8vGFEWEHQRExUdGxsZM9eDxLb3qC1yyBXAWHIt4wFAJNcqRXC7HS5Sk09LPJZq9XqIbRHBlyHDikikwh0OWSIUBuefMZ8QSpOWZYFj8iTcQBAgpgu7WxVsyBOOta6Zl529dzsmnkAoKjPAGDClaSPPUiGY3kL+2Le7VLyDcZ6DltNpDIyWy1mg8EgCw43sABgwPYE158eKq5Ibu4V33meL3cxx2yTcm23VzGtAYBftSHE9SBEJMYLLhefV2B76WlDy0zfnbGvvxD+JxMOJ4be5DvLaLZZQXuFUPG7/6rHWVHQugAAIABJREFUKYKozwAQFX/pO7ZO02Tr1q1RUVHz588P8jvIMMz8+fOTk5N37tx5SebpdXR0dHR0dHQuLboAHUlc+3MAACH0ykvDP3y/VjRs28ZmMlO7dgcLxomONmit4hUl/OdfmomeFNLSEqdMDLaQ32Qi7b9uDF6JAp9TIPDhOoToXBzi42Ojo5h6HHjvPe19Q2yqqtT/svdOXcfzlMFgCBRiLBYLy7KqkaE8zzscDpfLxfnAsizDMI1hQVtvQmp8oih265pw1+QOsbH0qy91+X7eoOv7JLXOjkIIWJaKjzOaTBHzaL5xePqSRXf0vu6qK8b32Q8jGSJPF3XhU/fDj28ym83etwghh8PBcZzT6XQ4HHa7XYmDvggghEiSVFIOhh8KrXT4wL1mszlWtqds+lx5ays9av94onRhV+TDG2nPni2beNeqcEr6UnDK4XZHbCQ/e7Zs0LD5j+1r93T6I+KnnxLpqUEKt1m+KFLnbQgkSRaQmh7BNs8Jiye/gukY5cm1GNV/fRmGqeHcZUI0AOY4Lsc2CQOcYoces006Rt5gh3ilmCzXYbhj5BoKPHFQoNx9uchEF9SaeyCErFYLQojn+ULzQGUjARIJF9SfXT3X9y0GkIAWkVFCjAwUjV1d8HICJA7iPMgsAW31nHK5XDJGdrtdZFvIiFGOyreOtXNc4FjNcVwN5z4hdjhmm5S26kcyKaj3N8ZycWn5lH9Uz/62dMztzpXnO6rpH/eYrumZ8vuyuDdfAoDE774CAGhg7jWP5+Ab73rfIYR6/blQq6xw6my9z0PGq1uWRSeFnSBR529GXl5edHR0VlYIT6309PSkpKTTp0+rrrrQ0dHR0dHR0bmy0QXoSGJodz4fYK+r2/+2fMLU+7KPHK2pqVGPPPUSFcVYWDqjmXo83edf7g956qn39xszStNFITOjDnGd+5dE3j9UpyEghP7zbTCzSy1GDOvo+7Zaux8+9NgmWca+kcJKdDPHcXVSAGVZxhg3qdCekNnqKIoSBIHjOFEUZVnmOG7KpFYznuo0718DPp913Ttvdpv9WZ+3Xu8VkcWyy1ecblIfTsQZl6XpqKuAAsJF75yyhmVrh77AD+eiPaVLkkQQhNINwnd5djgcsiwHlicIIvWPC0xyGd7u/nSy01ErbfsGcgZBlvE/pv0WZmP8+OOPsFa9hMTlco+79Ufv3+G5t489CTd/2WeG458zqKs6+YWgxrz5QnxyckTO23AsGcHWjsS695SbugFAS/ti1aBFZeiQZVmS5GiWAoSOEINdZKIgCIlw0gplSjGbmB/FMlarNZollfh9ALBa/T2jAcBisaQ7fgMAGRAFPAAgLHqNXKJYMrt6nuKtz7mlEqpjYA0AICKTnc6sMHSQgZCBzo2afMQ0/ohhzFHT+KPsrcdsk2roTACwQHkNlYEQcVaIlSTJ5XIhhJxOZ4ltMAAcNt8ecmBXBsPYf32e9vuPVIZ6Uj4AMD3yDwCQck/4f3pffls4aHTFV/9GJlP6mp9Jk4lMiDcNHegtgBLjgzdAFef8Rb5zimntW9uG9VYpR1OYD+srpopUVqW63aIblOloYLFYCIIIkhtDgSAIgiC8A4WOjo6Ojo6Ozt8KXYCOJKTnggA3q9Xy1bcqboaB5Ofba+yeSo3khAWnQofjAcDTTw5+/53egTJZVivrHXh3ODXUNubel8MvrHNxSEiIeeHZ7nU6ZPSNGSbTBapKz25RI4cmjRyadOPQpJFDk0YOTR45LHnk0OSRQ5NHj0hD6HywsMFgwBiHlG4DQQgRBHF5aaxut9svFlWWZVEUXS6XIAiyLPM8Hx+HFswdlJgYAbdol+tKXmHQPqs5HfRX5fARfx8JWcYPP7ZR8Y8OmeKv8YLrRVFURGElg2WdDgzcyFSdDtxICQ748u7K8jJZlsO8kH37TpSUhnCa1uK9mQfqd6AvGOOHHv0lcPvJPMerCx1PlA14OmXaH5Nfcz48nRnQ1/bI/R0mjG/4SSMFa7GWoxZaeyngGbFcBgKBbIOyIOleMcbN7cuyq+dmy+ti3PuScE6JnO7dm8pvbWX/b3b13Jb2xQghq9VqsVhSHGutFtbXmEhB8dYgoFbOlwgjQRBKfxPBWGzs5Z2ZcKBYEVSC6/PNw3Llbnme1nnWm49H3Q4YkySprF+hKIrjuGJTX6VknOdIds08RepiWRZjLEmSKIo5tjtEUQw5taMsiBEEgXM6Ymd/lLbyh7hZ74LBQGSk+xZzzfoySCX8/5aVPf5M9byFZHQUmZwkHslhRgxRdiGbLXgDtKg4fcGX64Yln9qGXudXJuGBW7UON3Zo1S+vzksKFELKizp/Wzp37ux2u6uq1KcuvDgcDqfT2bZt2zolL9XR0dHR0dHRuTLQb6YjiS0uzm+LlhBnMBA8L/ttsXOe2FhDRYW/PuV2yxjjcDSR665tu/GP1ocOFWzZmu92SzExhqFD2opV1du6vFGHy9BpkgwfdhUAfu3NXeEUZhhi+uP9/Tbe225XlDMvsLBIW0+0nearR9A0HY4LgR8mk0kUxcvuET3MWFSO4z5879olS0/+sOxkQ04nCB72EqU9vAgQBHFP15jZOzUdh/78qyxwY3kF/+vK0yNHZCCEglimGAyGkHn/6o13gLVYLHa7vU7HCoJgNBq9bWNZNuUn9Sx8pCQwcx9yT/02TPXhyzkq+Wx9sVgoh0NU1RLdfATmgQ4fzj18pDp4mZVrS1cCAHSd+X99mlpaLTl9BJz6TGuvN+FeunOVaB1b4VBvPEUSJHgAgAJPgrAXABI0KkxybY3y5CqvlUSCp9khHLAIIZZlEUIkdgOADAQBMgCYxTOtqK2njP2U2T4acyRJKsH4cVKBACYK/C2JM53Lj1sniKKIQcqunpsTNZlCUovqRQhkAqQCdoRDMglgYuD89CFCiPBUGwwmnufDn1b0/VPyPM8DoObN0pYtqJz9rVsU5TN1MLiw/3u+a/W65P98WThqApSWKhvlgKDpMKnYtDUxM9P7liCIQcu+OLHlr0P3vijknVE2Grtkqx7L9uo0aM1/SJLM+vrl3Pterl8DdHQC6dev34YNG1asWHH77bdrDYMY4w0bNuTk5Dz88MNNbajU0dHR0dHR0bkI6DPwkaRF6wvc34LEgfIB0oCyJVB9Prc33KhJgiA6dsy8///6PfLwDZMm9k5MjNsx5F6twu1//Vx1e/CkbTqXiuHDuv6waCxrDq3w/rBoLMPQfhtZt7pkkN9+WkRilgVBIEnyCo7rcTqd429qEeZjY5TN//NXuOIfO5unJo5ppX7tAJB7XF3bXbAwBwBxHKclMRsMhkbNQKiofkaj0el01vVYQRBEUVSCuAGAdlUG+RtXjXk1zO+IKIr7DgRLHgAAHKeuPkeKBx/ZFH7hDz4Ka3rsYmKLjskzhUjSKwMCgOb2H33tyH0hcLi/v171GQAQYAAwiKUsyzajTij5A41SOQAo6jMAIACLWKgEX9PYEcsftBhkmqY9Hk+RqU+hbTQG/65EYiG7Zl4b5+JM+w8AkF09N8u+kAQPARIAZDh+zXIurYakSkjzHsKybCvnj6xUZLFYVC3LwwRjzPE8c/fEpE8/gDqNYwSSCeQ+cCh12QLMOeI+fLvebQAAV5HKD1nL63reeOjXUdU7RlX9OYbb1fOOcVfvXEQ3O+8GY2jXouf274f8MU/5tDvdMTZuyigAICxmOi3B2K6F+ZpO1qHXxdwxnAiYIGSymqV9/FSzT1VSieroKDzxxBM33njjfffd98ILL6hO83g8nrfffnvChAn9+vV76aWXrvg7AR0dHR0dHR2dQC6zWMUmjiRKgiB4H/DCv780mymnU7y+b8qGjUWqBXjBEySzdnDE4gqtXYdGPKi6nbPbYwOiueuHN65Wv9uOCMnJcatWTuE4x5yvty5Zmh+oPSUlGhbOv8Vg8LfixRjTsoq0x5uSHE43QoiiKIvFwnEcQqiu5hsGg0HJPSiK4hUsQAOA0+lcMHfQHZNXh1T9tBy3afpipB8Mc81EI9GrfctEy6mv9zoC5DPNT23kjWl3TF79/bxBSui9ElCsiM48zyvDSD2i8sNHkiTFrKB+QdaKgbjZbPZ4PEmbvtAqdnrIs2mpmmb9fmzYGCL8GQCiouju3eJ4t7R5a2m4bQ2bqqpqQaiD4l94xilJMkk2rREgJatnxYFDsfiUVgHFEAMBbuZek28cENgBrJ76L3pI4Hcn8LsB4DAa0LJ6SWAB8dxtGC1zAJDu+uMwuqHWlwMhpPaVQQBKRLYfSmA1jV0JkHcG2sVAIQC0rpknIUOxsVemez0IkGObhBASBCGkBYfWZA/G2EmgtFU/Fg4aDQhBGBMgab//KIoiRZIeUaSapZc//gwzqL+wel3wo5DFgn2/8jRt+ex9+8vvSUUl6uURon2mXdPbt0k/pumfjhBKvG+ce+nPAE6wO8FeCoUgAwgAJhLINgkJn70m7Nhf8eZnAAAlp6peeBcQQtPuCXmxOn8HMMYrVqzw2zhp0qRdu3a98cYb77333t13333NNdfExsYihCoqKnbs2PHNN9+4XK74+Pi7775769atw4YNu7JvlnR0dHR0dHR0AtEF6EhCUuS67D49tv4Ym5oC2pLrfXe3+/pfh323OJ0iAGipzwBgq2/qm3rY+AKA7NFcBR8+1eUVR+YuLXzuE+UBNfrmQW2fnZrSNltXohuOxcJOf2zQ9McgL6/Q7XYVnXXm5lZ37ZrQOjvNZlNJfgUACCEMAdF0AB5DHABIkqSoexaLBWMcfuJBgiDMZjPHcd4g/Ss+fJ7juPn/GfjJZwe2bi+ux+EGQ/0jEEMiCJ4/1h346pvDZ4pcZjM58fZWY0Z3jomJarwzatEio9kbGZB7Mm/zaaHMJSeaib7Nzc3T057dnrt+g//nxjDE/v1VAPDMc9tefK6zyWTyWhZwHEfTNMMw9QhMrhMIIbfbHcQAJCSKXbiRIna0nqJq6N8i09a2becwa8MYP//SHvWm+gj5JEGMurHVk89sqU+LQ/H2exvreogkiSTZiD28frAdp8D+10MXE89m4rX5poF+v5tKcHEDMUOlAfzHVRmIfKKn0utI2QUAAhFlYAwEUZ9fSQTnJWMj2L0DPon5JPd2ZbsSiC0gS4F1lMPlCeJFHny1Acdx6at/sq/+o/rtD/330bTlrZe4fz5f+5aiEEI8z7uX/2a5eax46jQA1KrPJEmkJMunCwEAmUxY+dhJEsXGIKMBxcWC00W1b0N278p98LlcVlF1z6MAILDqgep15dQt6hPwACAVlZ4d9w+/jcY+PSJyXp0rAIzxqFGjtL4jgiDMnj179uzZgbvKysomT54MAB6PRxegdXR0dHR0dP5u6AJ0JEEI0dkt/uo6rN2KuRndumgV81OfQ5KYYKy3aMtV+6f8CgdrTHT9Tudl88sfFb/zL98tVYtXb1u82nx1x/4rvzGa6hnNreNHZmYaALRtCwP6hy7sMiSaef/YMUvVIbb5WPu5QDO32x0kGZcfFEUZDIZGjUttmjgcjn/c3+bhaZ0QAp6XZn99aOu2sMTo1tm2xvPI3rM398GH13vfOp3SnG+Ozfnm2Kgb059+cvAledbNapGZdWESuDdeHTFm/ILy8vP6LEIwZGDqLytOA0B+AaeEIfu6MMuy3Njq87mWNHRujCCIadO3f/Fpv+nPqmQ5+/fXA8Ov6uChXK1dBIEkuVaCrqjkH//n5rq2MxxkWd64qc5TLG630BCTh8bjGDO0taAZD+vFLBU3d60qMA/xdjmEEJI9GNSDkUNSDs3i4BQAZODa6YQzqF0SzpGAZsCFQMZ0NM/zDMNEuw8AgNWTxzIdkMS76VSTp0hCDInDndLz7b6xcJoHNlDyVmAwl1XzvZNMLGL7O3isOu8SMkQaAyjqs7HPNe5N287vkCTun8+nr/n59KDRyGpJWfKdw+EwOl1n5/y7es6/z7UVJX39SfG9DynqMwAo6jORnISTUzw79gBA1JOPVj/4FH8oFxYv9z2veCL/6KIfkgf2i2rAOq3qigrsrNv0vHXEgHqfTufKQ5mtv9St0NHR0dHR0dG5nNCn3yNM1G0jAeDw8MnlpwsBYOIdLRteZ3Z2PZPFA4A1WiP4MagaFWjgUCdW3fh/fuqzF+efB1Yk966fLK7TQCqj1SdFGNd5S01RFMM3HGcYJvxY6SsMQRAcDo7jOI/H9ci0TmEeNWVS+0Zqz5q1e3zVZ19+Xn76rnsXN5FHZYIgvp93k++Whx9sq6jPrJlcdlu+4eBWv0OCBGlGEFmWaVrTujpMDAaDnfOIonpYXEys+uoEVb6YfUBrV2paWEksKapBenpBwRmtLvPOG1179lDX/lyucEePi0yz7O5y0BuenKjJyguzXJrgOUAQhOKDQVGUVcw/g9pLUGfzHAygqM/gow6n4sMkiB4wVkEyApAN8RhjgiAIVNtteDKGpxIBQCBtOewtAOAGlZ7jgBgXBLs3kIHkgfVeF0ckHjGM9i1glkpa2ReloOOBBl8IodB+6x6P8ZqeABD34jNUty6WeybGzJge+8qz5hv6WR+4DwASZr2b+r+5LpeLIAi53N8KjIiJ8dtCXXe1yIuK+gwAnj0aXwGeL376lb09bth2yxR7ZQiTdC0qS+psWRPbVj2xoc7fEIIgqquraxrAZZeuWUdHR0dHR0en4egCdIRJvban8mLndWMxxrdP6N7wOp947Jp6H6vlHB11w9Vah9iG9a736QBg9+z59rV/BimABXFVxg2Nl0xMRwu6ufofnebL6ye9hR8rfWXDcVyf3ikhixmN5PV92zZGAwoKCl94eWeQArnH7W++/XtjnLoeWCzsV1/coLx+6p/tZ312BACu6hi19OpVUcf+lEgSY2wwGEwmk9FoNBqNisM4TdMURTXqQ3vD+3N+gf3lF3pOvGuN6l6rhQ2/qmM5mrN0JSVhuVSLIm7IMPvNv/dr7Xr6ud0HDlap7rJYwhLHLz4EQZSl3RekQHb1XO/rOH6vxWys7X9GI2BcDhkSoXJpGFAO6uO7pdA80INCe0SwUBkNZwGgVc3CeJO7Bb9aJGqNtrJrvsuo+cEglrS0L2nDzS+hOiI1DxAzVJlAs5NggALUJd96k9ejucg6jDSqrG1K4HcFjv/hCNAcz5uf+2fq0gVFN0+WDh6JvnOCeWB/3LWz4ZGp5LCBdrtdaJbGuVwmg6Hm0WdKHvrnhe3DYGETPnzr/OX88xH35h1yabl3i3POXAiKsGPP7muHVFdoZrkIQuXytarbDT00ZxPTe1xVjxPp6Ojo6Ojo6Ojo6CjoAnSEiT+34BzzwoFVf0RHW7tdFduQCi0WKjk5oX7HVlRUDRz670U3PcO0SPXbVb16m+ohAND3+5n1Ox0ASJJ0cvr7IYthwbNq8F31PotO/SCN6k7ivDm9fkJVQwxzrzDGjMoMWWbOFwMbSbJ/4GF1McWX5StOHz9e0BhnrwcdOrSYdGfWrTc3f/f9QwBw85i0D9h5RcPuM0+/CWfEK+KXy+Vyu91ut5vneUEQPB6PKIqiKCoeHY1BA/szQsjjkbNaheu4ffp00a8rdr76+sqly/48FGC4wfMqmiNJIpomeD7cb+vhw8fDLBnIvn3lQfa6XOph6Q2PIm88omITC8lwNcRWNfNbcwuSnetj3XuPMiOM1viT7Ngc26Qaqrlvak0EOAtv8j0w1bmGxufsO0KdxQ1WEjwZjhU8sgjE+TBnBtzNHCuV1yIdK4CKoh3cEgQBtMEbM7llWTXfAQBHZXg8mo7PFiHPbwtBEOGsPJAkyYEg6rs5yd99dXrkrYWDRjNu3mw2K+stzGazobzizLBxnuMnAo8lCILq0I6IjQEAy6z3at6eBVLdf4Z4Yf+wm+uxvKP69w3q9e3YDwBkokqAv8HURCdXdHR0dHR0dHR0dC4L9CVgEcZkOa/xnZn0eIei3W++PnjYyP9qlR8xNLm4mM89yYkezAuSKPo/R73/Tj3DnznOMeqmJRhDwWnnm/E3v/FKRuVdT4Ic4jktauT1Bp+gaVmWldXBYbqjFh44AuFJmY4te/cu/LHLbWPCKawTERijelxe88OfHW71gMkSU1c3Zz0C2kt6WghV9JUXu2e1atYYpz558lRlZVgusU88vXHZ4jsbow314IGp/W66eT5No0/e6ZwedcbIjCFO8o6ZS+MBih770uPxaB3YeFlMGxhejTFulm7hBYkkkSSpjLRVVTXJyUYA2Ls358FHNnhFs5W/Kza461u0sEx/5Kp27TLuvf/HwN8CAJAkrFqzFsdPVHboUOcLUbBzKnI8QhBc62viS1tsrQbjY3vC6UC1mR6Z6HJDZw/HeTukHbqZ2N7ZzmXUOZUZA5kbdWer6gUEiKAhOstAEKDyyRih1utcoBJsntx81L053ultgPJ/qktdKvUD+xzlhcG1Q3q54SqaogGra8qx/L4yeojvl85oNIb/cyDLMkTZwOUCgOJbpwCA8dqrpeKS6hN5QY46O3lq9JyPUxb9p/y/S6umPRXmuVTOXlpesP2v9B7dzhw+Ul1SamCY9K5XGVlzQwYKqcR/9gWZjE15ckVHR0dHR0dHR0en6aML0BGGJEm6VXPP8Xzl7ZY7p/X5/ouZ7/aZ/tQmv5I0Tbw2ji7757PtAbypbeJef/THM7FFxW6EAAEghDp3ahP+2auqan76Zd+WLcUEgaqqPb5KwXOfFHS958Ub9yx27zgYpAYqIWbX1wtTr7+atpj3PfN+5f9qU2nFThrZ8fkH4jPSgzfgxCffhd/a43e/KNU4ut1/R/iH6DQEo9EoUDZGVFm13fb4FwDoeJcZ4YsOFovlb5h+UIsggmlMNDPrw+tbtWreSKf++NNdYZYsKXEXF5clJcU3UkvqykfvdGlBbz1dUkQsXSWcyfEOLlFrF7ivG6cVgKmlKynzZA0xjHY6nSaTyeWqW2oyX2RZyM1xaglf1dVcUlLCt//a9M2/j6kWOHmSe/hx/1+KhlB4pp7JGzHGbrfKJxky0rSysiYlpZ5Ldi4CjMFw1nBtCu/vM64KBlRm7C5LEkmS/8/eecdHUbRx/Jndvbu9lt4bKYSaQEJv0kUUQQELVUVFBURRARERBBEERQUrKAhKUZBeRRHwRZpIJ0CANNJ7cr3s7vvHhsvlbq/kUgg43z/43M7OzM6F3b3d3zzze6zPK51Ol+71BG0uYIHyN1zMlz2gUqmuSp8QiURB+jMipkRPhbKEmAEqRHcCALKl/X0MV+RsgfV5YQSpGHTZqG0EdwUApPq0EhRKggEAWEBELRMeasFbBhWWzStoYFvuD+sKRtKLYZhmOmEfHjFbQdO0k5uYE2QyGXMr3WysMQemP+HMhouHyS+gJRIAoLy9oo/synpsHFte4bKVIJnPTM60GnweABkb3W7rOqWPw3TKkugIw/kU9w+hHFqLDKIYDAaDwWAwGAzGHmzBUf/IB1Z7KGv+PH5l885u3VoufL+G/W5ye9/pBVuLp39s07ZkzvJeX897cuviJ35dPPLXxSO2LCrIznbnoBzHfbr80CPDtny76vrFy+XnL5ZlZNqKg+culC1EA6gvP3TST8kPOzOmLj7efvjRuIcs6jMAlP6056+WQ35/7BWjwVmspSmv2J3RWsh4fcmZ5T80kfRo/wXKQoQNvhEAAi7y+vfu5580Gt2Kuv2PYDKZktoLp2Xbs3Ncw6nPAHD1qrAbryAnTzUVFw4AAE6i/XSr//qvpLk3rItlF/9ych7q9bYOyARBSKVSkiRpmiZJ0uPAfIZhGIapU+AkwyQm+AsGLwMAANq5+6wj9dkd2rcTFtQefsjWZInH4zyECCGx2NnjwainmguWl5U19ayk3nF9WffSCRLAxlVsaKXeECQqtDkrVCpVkU5WohPf4DpXqnUAYDAY1Gp1mrlVrmJwAdmmTNRKRYSneo2rhCCl8VYWl2DdngEqHXUygYRXnwGAIBAjjw7hUg0gr5X6fMP7GQ7AWn3mAChFyE3lKOtq8ZXrg9RHpYyzzHseR/gWTn6z6PW3a9tKPGhA8bKvNcdOln+0nFVrIjas9OzoAAB20jmTlnEuuU95scMHEllia4e9CaVoViQneDo4DAaDwWAwGAwGA4AF6IYgZOAD1pvZU+dmnjnXv3/ijl8f4+WAN8cEDVizwHTrtju9/d1qaGVpdZ53juM0Gk1ubqGNCvPR0t9/3ZrhTocfrSvYO36O/MHu7lS2QXXwxN6wB3Rah1F1TLnDnEiOyJr1eeqRvz0YDMYDRM37Otkr0RcqjQXu9COXy7EBtA1y2V1YUMIwjKBVgiP+ONSEBOioOGEREwAok8M8eyaTycYGmqZpnU5nMpn44GWEkEzmOgucIEaj0eO2AEAQxMZfbvj6CqvnZjOz9JPzHncOABcuCk827P8tV7C8c0fPg5GDg4QT2PJ06xosWB4VFeTxERsHkiSzZIPcrEwAAwDehuv+tF6hUNjPiwjOnrbSbomv/CnMcKJF5XovKPRmMttwVXkpzSC+jdqloa4tuf+JwGBpImeLItQHWCCuo96M46VpDFDFkg4cEFnyh3kZPaxiNwJg7kjqBajFDa/xBEHEqTbbtPUD4cnsbNmD1xVjoOYyDnsrFYVCAQASiYSoqc/q9XqfGa87GrATtAePGPMLiucs8n5udNajo9R/HPHfvcH7k/lBnyzwoDdBLg0c7miXsluyw2ZW353u3oH/EDVkYH2NCnO/YjQaV61aNXLkyBYtWshkMuQU/ASFwWAwGAzmPwgWoOsf/8Q2NiXXHp2gVamDggKOHprw6Sgx8cYcl17M1TDskY5P8B8PH7k4cPC6Bx/++YlRu/sP2vDgw+t27joDABUVqt173ZKzea5eq/ygsrPo2yXuN7HAafUHQh5wFLMsjgoVLJd2sv2bWHPlkSk4nLZxUHr55IYPcVIhJH2L1I1USxqNpi463X3GasFgAAAgAElEQVSJ3u3UcPWIo5fY0U8La7sqtSer7BsIhJA6vrPgLuXhXwihOEQes9nMR6SKxWKEkKUmy7IMw5jN5ru4qGLoI9E2610sLPv8XCMPJjbWc9vxsDBntubT3hKeNRSL7wGf3NC4jgahtH6OkDEFUZp9LSp/ijfs9ZGBj1wURqYH0lqFQmEfbq9SqS6Lh1+hn76JuudI+9j3FsldjOcE/noEMGLQt+P2k1B1UZdCDc+rQknHNO8xZXSClgoJ1R7lxXE5lAFAhmJElqgXAARxqQAQqDuJhCyn7TEhRQXnr9VqbS4Zeysbg8Egl0pVazfIRCKZTGb54izLSgf2JYNrN/EgHv0UGE2mM+cBwHvU8MhtP2oPHysZOrZi5nxZ5+TwX1ZX1atbmgGuovL61p2CuxQhbgwYIf2JKoMjua9vXUaCue/RaDTDhw9/+eWXt23bduPGjbpYOWEwGAwGg8Hcr2AP6PrHJ9DOYpXjzr40vdembxFCEm8XycrsMecXX1izedV50bnzpdblGo15yScXli670La1d237ZFlYvDon5NGZEy6tN2UKR885gjOZf3/0pUF7v7Pf5de7U/mOw/blujMuzBYPJg9/9MreWg0D4xmBHYexuQcIB9moKEYXmvd7VkBfl+E5DZcL7h6lsvIuTKI4spvY9MvNRh6JZ6CnXoMPx9uXS6+epAc9q3Ww2MJgMCiVSo7j1Go1QqgevcilUilBEARBeJZMj2XZP4/k/LxZ4I8/8YUWN29WXLte6zUidcHLS+lx26lTkk6d/t11PStEIkIkukceKhLfNF9aQkHt5mPErCpWvb1qwwQAoKbC85QDWJbV6/UW0ZbjOH5KVStrlioajxCKr/gxTflklHoXcOwN72cAIFB7QiNu5q/7l2bLykXxZZK2MeodAMABIIAb3uMRawJgK43FJjoCAJAuz0T4ococE0elEcnN4J8M7yd8VceyoH0HdnuUZq+RkwLATa/xAYbzPkZ3bV4ylMMNarVSqQQA/l+VSkWSJD9+sVgskUgMBoNIJDJeuZo7bRYA5PyyDQDkjw4WTXyWl621Wm3Ihu9zBg5z86BUjy7an6oDtAmplKPpkOWLc155y3Q1NWPgiOg/tkUf3Z356GhO46GJuYWiT75sOVIg13FQRDiQBDBOL3OLKE9RijpcSpj/AkuXLt23bx8AdOjQYdKkSeHh4c4NzZzMsGIwGAwGg8Hcr9wj74r3FBRFkaFBTF6hdaHmzxN6nY6WSgMTW6ULtUo49N3lARMd9Vnw68FzamHTDI6Dyykepu7JL9AvDnri45ehYPaKWjVU/3k6/cLlmPa2rohRIwelvWlrbO0OxrTsjMtXoxMc2zJi6g/VgE+Uf7xFOAiR8yo5KwvrX+lqeahKpcJ5CC1IJJIbNz28DOsCRVEIuU4NZ0F2N3xCnOAfGGhwsMu5lbNKpeI/CAY71/bdXqlUMgxjNBr5sDWFQmE2m+3Npl1ik63OAkWiLf9Wtops2EUDXkqRQkbEREkf6Sj2l5jg3IW69BbdLKJWpxYAvPVGu6YzL2UyGm+fvVSWmQ0cF9El2T8qnKJqnPymtjPKr/0awHhuyQ0ACnNOfMWP/GctFaKiomRMQT4XB4owM8NKzfkaIggBZMsfrNAy6V5PGwwGMcchhNLZRDkp1yqH8vMooAWDYixJkvzMBwGIQyICjCZJuJgpJY0lBlEoSYo5KlQMQCCkLvXljxsAaQAg4rQi0AJA88r1qDYW0r7GK3KJUqZL8TLe5EOqU73G805fAGA0GhmG4W03NDduWTfU7P0tZOrLljBPhmEQLeH0VVez/JOF+m9Wh65akT1gqP1BzcdPIy8lV1l1CWf0GRq5Yz0hl4Z/uyyjz1AwmTL6DI06+CunUodv+JYpLs1/fbb738gGNr/wr5j2ZFx04i8/ePn7We/ymzy+9It1zpv7zny5bOlKxSN9PR4A5j/Cnj17KIpatGjR9OnTm85tEIPBYDAYDKZJ0bTEiPsGaVIbdU0BGgCubNza8YVxgS1iBZs4UZ8BANVTWFnXLgGnTtum5SHbtPCgqwsDJ0YXHrd5zvYLCiIUMlYtELXU7P3JQIu9eyVf7PWsYIfn+z0fVfA3jgppBGQymXrgJ9T/lsoM+YIVoi99er3NWwaDI22wCp1OR9O0BzrdfQgSPm87JPs19Ltom9Y+V1LczUPYvVtIgw6mtgjKtQBQ/ujLLk8/J9TWgoPjOOtoa7VaTRCEXC7nZTj3YRimRbwvgO0k4/Tpbb/9rfjabV2PboHHTzpLBOc+XZK8m4dRnXzKpJpy7tx59uIlKGEAAFIADlSZOJjff89GdXUfgiDeeiPxk08vud/kwQFtPTtW/WIyGk9/+FXB0rWWkkwAQCjp91WxPavdUQiCULZ5qtKgLyvKFRty9OXlBGsQMyqlIU/ClAPHIEDZ3j3lEk0AZLhzDcvM+TJzPgAoIRMqgUEiLRVmopVic7mWCpXLEQAwDMOyLEWwSrlEbkonOINGFO0nNZpJHzMLAEBzFT6Gq96mqiD6TNTBH+XmKQepVCoANU3TCq4ssuBXBJzZy88+gtuiPnMAOvBRg58MyhRQBg4I0J+1KQnWHS+Q9rBsMgyj0+lEeQW6r2queeI4qKhAEgl/rel0Ot+Z09Q79xovXgGO00yfAxSl3ncQAJC/n3xgP8O5C6bU6pUB3h/OLp/6jmXz9ohnAhfMIsRiJBaJW8Ybb6VnDXpC0r4tUiopsdiNv70LmFsZ5zv1izu4NTy+2puo07tvHHQlQJctXQkAkS+OqfsYMPc3V65cCQkJmTRpElafMRgMBoPBYByBBegGIWj4YPX+IzaFxbM/hhfGSWha0StZfUzYDDT+77VpgycDAKOqoeHWlwAt+GBMSD15wWPV2syzF6M7trcp9x7UvWzbIfv6me9/Hfz88MxZnzvp8Py3GzpMFliPj6l3pDI5N+j9/H93hOQesN9LACsSiVwqgAzDuGMYfd+DEFq/QTiOsltXz7PAucnY0S1nv3fKzcoD+8c16GBqiyOnF5aW18UXvlYGGoKB/CzL8vMrBEE4cgIRJKGtn33hbxergj2V0d5QGwFaIacMRtZksv06b0yIiPtkJv9ZWMIHAIAbf/7ZepC7CffsGfF4l9VrrpWVu+VTMXVKglTqLG9h41BaVHy0+WDOaDdmjjs/cKL6u3ntxo2wLpZI6JCI2LISZXT6B/a9NSs/DAAGUlkZ0DYI0mo1EpIzKU2ZSlOmpaRC1JxitXJ1leeVgfA1IhkJjL0KzGNCUrOieRbTUgQgl8uVhozQ/N+szJ1tf8614FNBhJMB7SVeQRqdeeGHR0/9UwxAjxrZcVL/DALM6062eKxbZRhcdzJsb9OtPNRBZjSRfr6AEMMw2h17ir7+HkgSak4X5Y95IXTfVsvVQXTtFPBAj9wHH/OZ/CKr0zPRUeXzFhFhoWxunqRTsnLUiPwJk7nyqmUi6jfeqXFUli2as4j/KI5tJk5oDXKp71PDK9b97PvSM05GWytuDRoZeO20+I4xAkJI1q+79vAJF80oKqR9k5hZwTRlxGKxSCSySZCLwWAwGAwGg7EGR5s2CH5dkgTLKysrAaD9qvmOGt7o+Ryj0TN2EcT1JUCfPGUb/gwAWTkeRhqmfyYQPdT+c4erZXW3bgMAEIiOjxKscHuRgK80poFACPl2eMwgEjYQj7z2nTuxk7xIJ74TpCaTyZz7HloOXauhNnGkUtmBg8JZQJPbe54Fzk169Wzt5p9TLqdCQ2uXK6yhETsIb5Sd/cO5BYdz6uUE44199Xq9UqmUy+UKhcKdVvbB1yIRysyvuseeuqZOTqpWqGUyMiLcmS8Hy3L26nOHdt5xjm+z1ug//8Kdak7YuW1s2zY+Lqu1buX99JPC+SQbk5LCwiOxgwTU5zvcnDi/6HaOfbniymr7QgsSRuVf8I8WvOo4PG/TTTlTpT6zQKRJH76FuuWycbmyvvaVzUiaphipMXAGgwFMmpY534QV70fAcgCZvo8Yey4xt33LkDDbmDjH2O49TetZTPL78s7TwzqOVjOKlybvG/r41lP/VP3c/7w1t88Uce9XZd//lD10SuX4L1rkQitHg0yDLnmPPlXw2ozC+YtbtGhBmMy64NAjLyxZ3WsWERpcc4iMOT3Tcq2ZTCaO44LXrTQVFXuNe1oRGw0AbG4eiEQlb8/NGz7Woj7zeL0/U3AAqp37lYMHyJ4YxpKE9sw5ABC39mSRliBXP/vKerPNp++7bEL6eXv5uL4EMP9xWrVqxbKsydSE0vxiMBgMBoPBNDWwAN0ghEVHAyWgnmSlXPtryrycP457jxjgsDHLClg41i0XvHPOX3HtXRu6+DX7wvLdf9kX+gUGSOKERbfKo2cAIOSFEQFPPyRYgSmpKM4TNoXANAQEQZR3elNwl9hQRNOu4xkZhtHr9WKxmFfozGazE/cDhUKhUCikUun9FCUkk8nGT/jT0d6YmAYXfCmKXDCvozs1P10q7CN/F3GkFEvSLopEIo+7rZV47cgGhIfXFDQajVqtdue8ZVlWKq1x9GfGxbFW10SLjtVB8Votk5vnLLxaqxMYW2KcBFzlCOXh6nw7pShy1TcjXnw+3kkdLy/Rd9+OuOvuSWaz+a8WQ8Ds7H8TAM5OeMe+UGbMc96KAEZcmOm8Tq0ggI3XbvOmWY7jStlgHWmbuzhb/pBGo2FZ1ldqjtPuMCMJB3ArcDT0+yy6w0MSmpbK5LRUdu16et8Ba3r3X9elx8qefb7t0v3rJ0ftvnlLZX9Ey4055Zpq6JSKJz6OK4JomzoZ0CFz5EwAQH5+Jzo82anb15t2ph0v9d2zLycnX/9T+1ds6he9/Lr1RaHVaqnwUM3WXTlDnqAC/AlfHwAAkwmEViTo1//s6I+T99Ibxj2/kSSpePyRzMFPGtPd+MuTbp1+lb/ssN5kKW7ghYUDLyx84MySsE3Cy7PohJbu9Iz5j9OrV6+SkpLr150tL8BgMBgMBoP5j4MF6AYBIUQn2a3ZJInUfhOL1+zIeO2jim2Hon/6UKChiAr94NXmR9bE/29dm9TfEvP/SSw6m1h0NnKFwOpgl8hkbqkw12+6ziOX945AlkLOaNJUVtqXDzjzq5Ou8r/bmr3wO1IpLOWkLMFB0I2KX2BImVcb+3IEEHx7t5tCnlqt5hU6o9EoGDeNEOKNDtRqtSVv1f1Bbq6WZYU195BgWiZrDIuSAf2TfH1dGOm0buWdmFhvgYT1iC6omX0hAqBVJR73qdVqPfY+tkev1/Phz+4EVut0ujWr+gUGSGKTA+VR3vIo79s1Febf/q2IjakOpraX5kgShYdVnzZBQbbzQK1ZuxjekGDbEp76WGmAEHr+ud7jxwhnL+jU0f/AnmfuuvrMcdyJmUs4g2vbFs3fF3Q1rb0LcjIFE/exqMYUCMmZ0swd6jhOayhOH6PeLpXStJiimRIAYFDVVVxMdzCRXkqFLITKi1bvIoC5rezB9f20ebtulj+1Vqsb8dTaCRP/NBirziGdjjEz7rqfp2doB08xbLzeh29gBtGpfZL0Ee8AQRi/+PqNskGPPBwzsH/YH4fyft6cAQCVlaZzF8rIuBibfnIGPc7t/13GcgqpVKFQaLXa8IM7wvZsYVQatqycCHLoQcRmZEke6Ca4izMYyr5cndl3mO73I80ObPH5+H2HX4NAftvWAgAwbrnucOUVlXcCsXNupwUTp0UUK6JYhdTQvl3lw1cWIIntvFezBW+50zPmP8706dMDAwPffPPNrKys2iYhwGAwGAwGg/mPgAXohiJ2+fs2JX4LpltvZox/N/C10YT3HSUCobCP30zIPR3wyvPStkl0q0TSN9AS+IzEktathK0SnKDVuogF4ykq9jyJnKZUIPsZTdNtD7nQkWOXvy1Yrj1zxePBYDyD6vayYLmy9JKcrnUUqr0UJZFI5HK5vc3uvQ5CiKKkM2efdFRh5PDGM1zes2NcZIRDM4eWLby+Xzmy0QZTK8p6PylY7rtlmcdB0BzHuS+Jul/TTWtplmW/+Lx3QUmVGJpRYOtxFJEcJBZXHZSmybZtvEmiSir2UlL7X89ZPSbLonUXFtren72Ks20PmV8gOBIkd8s2xB0mvdJv88ZHktr7yeUUAHh7ibp3Ddq17fEVnz1eX4eoC0a9vuibzW5WLsusoeATagFTDgDIiRxlUxJTcqDYLmq4jrSoXN+8cgMCLl3c97b8YQBQiaLKJAnNK36Mr9wQoj8OAAxQ0rCO1tOBFy7c7NV3TUZG7ZJk2rNsRerai70MID/24n7t9+upRx56r9nU2YuuScQERZGDB4VKxDXmIMuHPW3bBctWrvwhb8TYnIeG5wwcRnMcQojjOC3iqO5d2JIS+oXx4MBDjIqOcD48/dmLHMcp2rQiFEIz1hQVtPT9snGT3P++AKCuKAeAvOwbkVKBBJv+H86wKWnWsinO22GaGmFhYUeOHMnIyOjUqdP8+fPT09ONRiPjGCxSYzAYDAaD+Q+CBeiGonlb26jS7JnLbUqKVmwiRFTg1FF+zwxtk37E/7lxll0cY7vCevQ4W9PGYY+6eHlzE0fxm+7AMaxWrS4pKCzOLygvKtHr9bxG06J7Z99Rg500vPH8XMFyQ3qux4PBeAZN0yU+wq7l4alraxtJygc7KxQKpVJJ07RUKjWbzTbqc61yxDVZaFo2YeJhR2+RCMETI+szXtI5CKFN659+6cXW9rvemtZuzXdPNFnf7cAEYf8QUlPhjp+4IDRNcxzHp4Tiz0YnlV3+ZSxZCl1K1RRFKZVKvb5aMg4LkhTaJfG7mKbtMiSalhDjRseQJLqSUgEIhj8WOezR8F3PXvIuv+FbmvLlB8IRxwAABcJysz3i8WPdrOkOERGhX38x/Pf9zx7/64X9e55Z9vHQgAD/euy/LvwzX2CNjiMKzteY5pSWCc96Rmb9ZF9Il2Y2hG7EAhFjPBKt3skB5Et6NKvcxp+UZhBVoHB189dCw6uNrW7cyJow8Tfr5jan8OuvJg4dEu7oWNNea2e9+eXKW+f/8SPj485PWTztXEudjgWA4GApy7IZmfqy8hpB5TuuuFhpkffY6OwBQ4s/+kz1wqvmi5fJ+Dhx7570WDvZGgAADFt2IKWLOZLMvsPUG34FoVsBkoiNV65z2louqeFAp9OGSVIEd8b18LXeJPx8HPnUYzA2BAQEjBgxoqioaP78+bGxsRKJhHKMc+snDAaDwWAwmPuSelukjLEBIUSFBZlzC/lNMsifuymwotxcXE75KstX/eL9aG9F3/6W90hE2v7XRLaKBDhlXbJrj10cnEc4EaBDJ4/K+9qhUSMAXHr7k8q9/7MpVPRKbv3lHELIBdslTGkFx3FNViy7X6G7PQ8HBGy+JfpCmqZrFbysUlXZjyoUCr1ez0fD2dS5D2J/5HL5hx+ddVLhqSdiJZJGVS4IgnjumR5jRnW+cTP33PlckkCdOkbGxATXoxlFQ6Dd8pWjxR0e3wd0Oh1JkhzHaTQaAJBKpVKplKIorVZr/9pvds9Pma9JkiTDMPy/lnKlUmk2mwmCMBgMKpWKIIii4ipvosQWyj9TNADwZL/QLYerjYYvp2tnv504d8EFfpNhuO07b2+dL5FmVv1kdEr7AaCP4DDYGzfdHHDQ0CFu1rzXKVy+0f3KbE27BgS1UIIoVlfSbLrp9tEQ9lI9/koRwN4ZDMSrf9aCFwUoVzEosvUDlvx3aWmZl68UnTyVc+BgjZ9+iZhYu3pAekZlTLRy5fcpr0xsCwBGEwMgENn94oRWBGE78OmbQavtAVnV5+frU9trtdqk9rbO1BculT/j68OVCax8ssZ46AgQBPLxIqIitV+uCvxwbt7aDeG/bc95eGQN0xmzWfbcSM23NbIZizu2N56/DFbXV/maDYJH4TTa8h820iOG6LftdT4ea2iaZsuOIwf3Zm9ljQUHkd9/5H7PmP8yOp2uc+fOKSnCExsYDAaDwWAwGMACdIMS/t3SzCHP8Z9lA3tV3twpWM1UXAEclz1uhrhFdPSeHwi5sBpDyBT+fuKSUtcel7Vl/tzkYNXS1FECKemLNu1z0jD0g8l5731tX64+du6fpCa63h8jiEgkLvTrGlR6yn5X3MWPbrWb5YGBhkajkUqlgo7POp1OLpdrNHVdP34XYVm4klLmaC9FoVcn927M8VgQi0Vt2zRr20bAWLkJUpyX633lmKO9dYkRs7S1nIQIIalUqtVqAYCiKMvMivvx+BRF8a4g/Als0cctky48HMd9saEqbZqXtxhAAwADOgZYC9DjBwSsXJ1q3SoiQhaRud+65I/X0hdf6HroaKF1oURCQG6pmwMODA11s+Y9jUooFYETuJoCtJEOBrW7slFB3LMhXj7Q9jGteYhOU1mRe1nJ5snZYhmUCxpJu48R6Ovmzn//qz/0V6lGx0nEgXp96utT6YEDkv44dH7x0rNqtfBMyRfLH0AIggIJAPj7eH5MtOyhB2N6dg/29aZWfX+9uNQAAC1beF1Prfx+Ze+MTPXnKy7a9KDV1ugZIQgJprVa7T9nChECsZg0GKqvROatGcScd11/H5blSstNB/8EAPOFS6E7NuYOH2NveY7sStjbudF/7sjs/xjnnq2z3+OPFl26arqRVqNULAaj8MOS3lAcIHf400MSnGL4IPX2g/xmQp8H3BkDBrNgwQJefe7ateuoUaP8/f2dp9C46775GAwGg8FgMI0PFqAbkPY9u1WJEAQqP+bQ2lh99F/+gzE1I7VFP5/xw4I+mE2IBOJzlq17+rWxmyor3Y3Xc4dHBocP6N+B47iCYXsrdh212Wsuc/hi3+zHhZnPzKnHkfBImkfi8OfGByEk7TgKfhcQoE2EVKwvBrDNhOYS5z68ZrPZkTx9T/DPv4VO9n61vKeb+Rv/49Df2DquWjD7BhsMtu7JHmC5n3Acp9VqJRKJWCzmOM5sNvPh+WKx2OhAq7LugT+ZLVqzk7hpjuMSW3rnFOgAwGCuEiVnfH2V/9CltbdWZ/ry08scBwltfS5fqQomXfN0GpQBAGS3GRORshEAlOqsD+OyXu/VfcK3ypKSqj9FVIQc3LMpkn6+zK169z656ZmC5cpuiaqTAj6/iuAaziGGwA5QfNidA5lIeXBkc/4zRVFKbz+ld9U8kxGAP6lu37zQzHxcBrXTxBkQDZkTXFpmG9v+7tzT78497bzty5OPIoS++6b3vA/OmEzs5l8zBvaP0ul0MTGyz5Z1J0nKaGR27k6fP7erWq1v29rPkZBtYcO6gRqNGgD69A7fvPWW5dzj+e43rXDSAMcUzXjP0S5Ob2txbi4syug7DNxeJZP7jJAHtKMrmiRDpbecdxjyRI+bvABNEk18+Qim6XDgwAGSJD/66KPp06e7ro3BYDAYDAbznwQ/WzcgCCGkkHFavejBAZotvzuqpr9ySxKoZCuqdI3yn3aV/7QraP6rPuNHIzFtrcYikvzi53Gl11NnzTppMHjuohsaIg0IoMPDZROf7xAaGsQPtePX8/7c1d91Y5KI+n5e1oR5DaE+A0D8x/jZ/e5AS2VFvp0Cy87YlIsZTdT1VaZ2M1WaWier1Gg0jiKdDQYDQkgul/MRqfeWKYdUKv3iKwGxnsfXV5yY2LIxx3OPwrKsqFLAmIin/LEp9eKSaTOhZTAYLLq2XC4HALVazZtEm81mvZ0cBndOTpIk3VwHQBDEjfQq/dGSwk2lNX/zVsLKnVmJcV7b1l/lz/cW8V68AP3EYxHeZUcZQpzVd67ZbOYQiTgGABBAcN6JfY9BWvwTk5eUl5Wbktt5gwtBEgAAAgJaDRzgzmjvAzSnLwuWU/6+guVRD3S13gwMieCugstpTw6gsPXUQMfzowghkUgU27oTQCf+DOM4Lj83S6q6oDTfFnNqCmzdwDkABsQGTv7csoDSMjUAeHmJTCZOLqeK3U4OzHGwZFFXmUz0/pyOvIGV5ZbLn88IoUcfCTOZTAoFzbKsl1JUqbIdiYWWLbwNBv2dnrnyMlsl98ZNFdm2FXPlmpvDcz16Nwt5SFKUnECPfpLV6IEkuKwsw77fJY88KIqOrHjnA+TjzZVXODmabMQjJCHQuYGRiUkt/18b0pLm5wHCf/ysFl8E89/m2rVrISEhL7300t0eCAaDwWAwGEzTBQvQDUvYivmVF27kf7DKeTWv4QPL1263Limc92XhvC+BJJuf20X511hG7deyxbc/Ry2asffGTRV4xC8bn7KO6+E47vKWvekzlwVMeapy/9/GNAHjSAuhc1/OmjDPs+O6BqHYgb0aqnOMK6ikp+GwrQDNE3dxaWriLF4srhVO4tl5i16RSMTn5LHxMWiaSKVSAMi6rXXinL59i3DGraZPeXHJtdWbK34/yVSolL06xD4/MrRty4ZbKVyQleHnYFfh5M81LEADCNDW8DqdTCZTq9UIIcFsY7yVOQCwLEsQhJt+HQxTdVB1ZbXSN2nZZQCI9UMfLug29tk/OA5277n9UP+AV3qVhmVvAACTxJsXwYtaDAu6XuMXIfbGrwdGwJVWL5QdumR+cbJozzYuP9/h4UWiFru3/3eWkhT+uEuwvGzvX4LltExqvUmSpEYcqjDmCVa2kN789YiQsFoNDCEUGt4MoBkAmFhWlfKTL3eb31UCkRuPh/26M/dOPHLV3EZlpQkAdLparHPa9NNAk8nkZHaE4ziO4/R6PcMw//u7yIn6DAAkSYhEIj7An2VZRuhG90bpoM+m9GW++tb9QTrClONuRk0AkE16Pu+zn9kDF+DAhRo7zq0VhQUpAJyrzwDQbPJgAIFJL4QYy9WilBqpqDBzVm7iwL7ujw3zH4ckSbFYrFQq7/ZAMBgMBoPBYJou2IOsYWkzeIAj9Zmgq8UOjnCwWp9hmFIBn1lCQs9ZPmLs2FgPhjRudKzNqtJDj0+68ey75oLS4q82G1jeARIAACAASURBVNNywhZNddRW+VCPvHnfeHBQd+G46zsPNmD/GKcolF55kY862utfeKy2WiRCyGRyJnYAgMlk0ul0KpVKoVDw8m5TBiGUnq6e/Z7D8OevlvcW1DGbOAzDHB731p+R/XPf/1bz93n95VtF32451WXU7vDe+Q78DeoOShEO5TWGxemAqEv4s0KhkMvlcrlcJpO5lIz5Co7EZYQQL8Y5t5SxRiKR5JdUecsUlNQIIO3SUrFuderVa2V8iGeAv2RB9Naw7MMAYJZ4V/i3YRiG4zh1WAfBnnM+2Zy38Lvs2V+nH8/XP/EMiooUrEb26nnzpUnnR429NPf9Yic69f0Cp63F4ozg18fY/z+aO7zqvFVm2JMR0XG1HpkVBEHIEp7VgF8+tJj6Y8KgKea1G7JcumG45IP3O+t0OnfMaiiKEovFq39wEbn87qxkizMSQkipFA5TeGObOOe1ubUdrQ2ScU8Z/7RNYuwIUaeknA/WsOrqSVDKykrFlFtIJbZx3kPU3k3BCuElF2Kixh/Q6/EBAYtniiUSN8eGwcTHx7Ms635KWwwGg8FgMJj/IFiAblikMpmkpXA2MEW39kgs4j+XbjxgKScUspgv54pCA/lNjnOgniA0aGzvhQs72e8hSeTvJyyBjR0dO+mVvtYll3f/XnnwhHVJ7uwvxM0jA6YIRHEyZS7Ci+rO9XHvlBc7XJWPaWj82g8xiITTYPoXHJPJZLXqjV8P7mZltVqt0+kUCoVYLJY01Td/kiTfm/+Po71Dh0QmJ8c35njqBaPRuDfuwbKtf9jvYspVx9sMu7bfLYfc2iI/85t9IQdQ8tQMl/MWztHpdBqNRqPRaLVal2H7er1eqVRKJBJ7HxiCqNbBebdod45uNpstUnZqhsZyBRAITv+WxTDcB4uqfP/fnuBjaXW75wxt8368GzUrFGBf5te6Ym91wsb8pT+mH7mtGTAcxdrORDKHj7CXLrOXLpu2bs8a8NDFya+6n2jxXkSW1Mr9yh3mCsywyhTKwg7CcqqO8ivtsiC0Tf0ko/s1JWnIFNXxU/XzGxcSIo2J9nJnqkYkEmVnayZPdaH2PjY02tqFBiFESxx62X+2pfyLzm/Tkye6P+AaSKXa7QdcV+MhUMnJNJsyUbNQAACC4P1TzKExzo424tFmrVu7eTSfvkm0j99/Zw0Bpu488MADpaWl169fv9sDwWAwGAwGg2m6YAG6YUEItf5sluCuyiP/cMYqkYWtVEt7JFd91uiUvTq0Obim1Z6VQBKc2mG6dgCI7JCw+ufhNm9JDMOVlApn4OnbO9bmnerGMwLp7I03bxd/9YvvmEdkndpIWkaLY8JFEcFhi1/TnnaYSrEeORw/+P6WS5oyBEFUdn27Hjus7Tu8Wq02mUxGo/FeXMo6dnS7uz0ET/ij52hzgTNFLGXEtJK8+g+kFZULJHLkRHQdcw+6b5RhQaVSabVa++A1iqIsehzHcTqdjreNdmMAVQKyRscM615lNDKki095eY07c8fy/fyH7C5TOY5TaXSWYwGy/XX+e+lF+2MVfbc9/VC6dvCT4HjOxnz0fxeGDb+3bNZrRdBLI92sGTJtrNTBLJqPX4C276fp/g9zd+ygNVRAZuzLRJ95Ci8fwSYesOKrq7VtghAEB9Hff9unbRtbS+vPPu6p0zl7QrAgkUji4vy//aqP89vxqKeaW64dhNCuPRlFxc4uxsxs3avbpYvbvEWPedKdYVgjmzODq3A3VSPTuTdTbltZd/qyOCo08Z9fgAMAKNu4Vy0Llb/8nH1zqmVcx48/AHD3EoiIYdoOH+xmZQwGAGbOnCmTyaZNm1ZQUHAf32wxGAwGg8Fg6gIWoBucFg/2Dv+wOku7OCRAoBJJeA1/sOozx11MevxC4lDWbE44/jNrMAHLAgDHmAUfaikv7x92jpXSDsOUrEm5mmu9qaqo5PQOXy/LNu7TnkkxXM8wpueYsgty31nhziGcQIUEiJuFuqzG6Y1XDjRIxCXGHXz8/DOjhNUEyuxWEjZrPHAQ5h1LVSoVTdO1bdvQOHmxDA6mo6JCGnMw9cK13X/oL990We2v1o/W70t1fmY6YgUiNzVdH67jKmaSJOtrqARByGQyyyQKx3Esy7qcUyEIwrrK2QtVNkpH9mZZCikKHZhRJDZWaWpGWYDzDIcaebju3xThfRxXuGobOFXtufSMlM2/Oh/2vUuLTsnuVJO0jO6xeKaTChRFhSc/bBq43DhwhXHgClHfuaGxbesrDJZl2RMnBaYQACDAv3rygKKqD0cQ6Ltvum366cHlnz5AUeysGe2VSpFl7w/f9RXM7yrIpculBIHAlQRrc+nl5Wk/Wpjs8g9QUmZ69XDoT4PeIzskuR6KWCx+5QVqzarKtxe4rgwAAGRMVOXeo4K7pPHRqSNet2yasvKyP1xLD32oxgE7J3ffv5UgCPfvCgZGSjd5PyhMkyI4OHj//v2pqamdO3d+9913U1JSVCqVzjFYpMZgMBgMBvMfBAvQDQ5FUc2fbB/95Vv8ZsSsF6r3kaSiX6f2G2Y+/Gxg4oV1Pd95IPyDVxBd9S6a+viUy12fIkSUSF0CAIikqnWQmvF9iBIt/byvO4PZdyDbelNTVu7ZlxLE65FesbtXAIC0g/BCV3N+sTHTRaInnhsj36zHgWFqS1jSQMHyZilfuhMBak1d5Bsbs/KmgJOXxk8+6t2YI6kXWJZNGe1MkrPAGUzpFy7X46HpX5YJlms61zXwkCTdmo1z3oNCoZDJZHq9Xq1Wy+Vy3lQaANwMgu6WVD3RmHZb+9Vo8vuRqqVTFAvfCHtncvjmD5THnjniW1IlKBvFSscpLavIC3d2dvmNfcTlkAwLFt6vK0tIkpQ5+NGxQHgrHj673XmdBoLjuKN/XXqg3w9vzRR27ykuqZ48MJurToXJL7f4cU1fpVJpNptVKpXJZNLr9au+7sPvTUzwoyhntyNrCIJetOTsxElHli4766TaqKeaWy8+4Dju5YltwsO9v/umuztHuXCp4o283icmLibbCDiiEKEhpslTfx/74XT/V17bKZ/27mX5dBe+2xZ0SoGJPSSiAIBQSBmT7XxVwdZjRFDVBSgd3L/rLz/wP0Pu/xhRPu3drInB8MyZM6dDhw63b9++ffv24sWL27Zt6+XlJXNMXZIcYDAYDAaDwdyjNDl9575EEZjU6bFCOnLRtcdmp01bYinvNX+AMu0CHFrHb0pvp7aG1BZjQ29FP5g1fw2YGQAAscjkFWjTIbKLKvWKikxO8jt3vtT5SGzakSKRg4puIWkVbbiWQfoomXIVAFTuO1a57xgAyLu30511d6Fx0IxnCz9eZ1+u1+ubYADsf4cin+TA8nM2hYhjI2/8kN1igtqpM4wFgiB4T9v7nqBAOi5OOCNcU6YoLRPcfg2+9OiU2Oy/6uW4WrVKmus67NozPAi6t0DTNEVRBoPBOh6Z/2zxhHEp4+r1etJqCA/18G1+veoWV+XWnF6916AMz+08ial5mXAcxyECWSUAuLV0h5MjSiKDnA+JpygrKzg62p2a9xx9//hhX0APcPBfo+jdsffOr+tyYniMyWSaPWf/3yeKatUqIkIWEiI3Go16vd5aZWYYZu33/fLzdZUqvUgksvZrdoRCoZgw8TAAqFSms+ecOe107BBoo2jzZ75CoXh5YvzK7264M/Kte/K2wiBl/CPR0YqwILG3nCAp4maW/p9/S2E7ABRYai78U/qGq97IyHBy3jtlj9tK1YpOCfHrFp/vOLJs559UoK0zCVupqahU+DSPiVv9RUjNRJ0cBy5VaINZHBAR7GpoGAwGg8FgMBgMpnZgAbox8PbxLSuVJnTQNU//6PSXlwqXbeDLJcXZ9pVJg67F9V0xL7e6bGxV8t1W5HYQ6JR3+rz4tIsIr/79wqw3fYNtpe1aYbiWQXgp/J551PuxfmUb91PBfgWLVgNA8Ve/uN+JoPoMANf2HEp6YkhdhoepC2S7p+AvWwEaAGhdftyFj261f8e5YwAPy7JisdhjDboJ5oBy5A4hFt+Tq0kyf6uFoMyU1FsOUk16qpeDXXWfsfD4tJFIJLzkV8f+ZTLZkdPVguPkkL/AgdWtUR6c0+kVvU5nc16ZTCaWkhJGlaVE8+81J0eUGsrdiW0uPnnqfhWgaam0f8bvf3UYaS6uuawHQbsDK+Me6HpXbibZ2fnPvnBAp6tdqGO7RN/pb7QjSdJoNNoowhRF6XSq4GAqIsLXnTswABgMhhGPx2782bV8HBEuF+yTYZifNtgmAHSOSm2+dLn8ktM6BUUG6agRup+3Ce4VtWtTNnP2DfAGgBiphNPVcJgJmjAcAAiJWNGrY+zy2efaDrVpbs4uiNiyyVp95jhOk/unlxvZbcu5lvde/gHM3WbEiBFxcXHu178r82EYDAaDwWAwdxcsQDcSKrKtHM7QlLH3tJblL31y/Nl12pOXKG2VvmBS+olUNYKXRRXFyXDs5pr3DRev0W3cWg0qUnpPndL6C6c5jjokhV6/fgsAlF7KsNAgiqKQiOLsVrC6D1upLlqxqWjFJiQWEQpZ+Kdv5X/wXbO1C9Iem+Zxnzxp42eXbjnY8et53v5+dewK4wEKb99C385BZQJrxhFwMZc/TU94000FxGPUajVN0+5E+TUaRqMxLtbrVpqtoJido2UYpu7mD41MycZ9taqv0Whq68EiiPn6v4LllX2erLsA7dmLPUVRCCEnMqV1cjbnXWn11YLj1CHeMnWOYLWKiG4FMQ+B2WyjPiuVSq1Wy4ik1B0BWq2MYoovODvk7UznQ+Ix/X0CRj3tTs17EZ/AgEczD+dcTMk9etqUXSBpHhnSNSksoTVJ3Z2rsqKi8qkxe92vn5zke+58GQDMeDMJgDMajfbTXbzps9nunHGCyWR6ZHBEh6SAq9fLV//g8PHgqSfitFqt4C6SJLXaBrELWK9pOxJsBWjJg30zn5uUx0nhTjZIul1L3aka9tnyDm04jpM0C4tdPvvWqwsFOw9vGW/5zHGcseCgl8T1TwnLQXgzAQsRDMY5Xbt27dq1690eBQaDwWAwGEyTBs/ANxKRUbFmtuqv7SPTPrz5yQ7/rrTspWqqz5Wtu/Efmv/5TQjtwlXDmpZthDIcWvHCy4cnTDwyYeKRJ57e3avvmq+/PUwE2C5f5Qlb8rpguT0Br44CAM5oYirUpL9P9C9LMyfMTTy/OeSlJ2yHd2Yj/yFmx2fu9Fy+68ihiH4nFn+Fs7U0PgghZbdnHe0lGX3chUVBUCxtyExNHMc1NUmX47hZM4UznrlpS9KkMGYIe7JHLxa+/CsKi+vluKRK2H1e20HYfLxBoWlaLpczDGMymRydbzKZzM2EbwqF4vWFVUsHZjwZaH5+eq5fF+sKJqlfeWTP9H4flMQP0ev19vMryGyQyWRiTaGlpMS3rXUFQiGzacJedM+eu9JBJPb9AkEQkUkJXV9/vtfH73R+eVxkUsLdUp8Zhhk6vHZZH8+dLxv8UBhJIpGI0uv1ghKzZy7eOp0uIkLRvp2/kzqPD4tufItwPUPApnWipER+UzpmZPqm7SeffSuPk1nUZwAQvTLOpuHl3uOB47QXUwGg8vApwc4Jq2u5IvuolHJrIrPUEIhDUzEYDAaDwWAwmIYAR0A3EgihtMpW8d4pBkZMU0aEIDaooGLGNLR4KbJ+0wIAAK+rJy2f/U/syg8INfd63J2jnDtT4LrSHViWW78xLSh5wjN5S+335r693P47AEL2JpvFX/5c9Ylhsp59L/zzGcGzX6QYTj6iP6z6FUgCGBbRYjAz+jNVSbfSH3fp/VhN3oJVu7/bPiT1ANn0UtLd31AiUW6n2WFnFgnuRQBhtzYyJJ3Z9jWN3uQoo45er1coFB7HShMEQdM0y7L8JITJZPKsn3rk3DlhEfZenCUhlXKmVMBYI+PdFYL168vHQJwnbABdLxJYbeerKIriz0+GYRiGIQiCl5ut+9FqtSKRyGw2y+VyR4GiACCTyWZ/WhWq2S5erh71GgCkrD4X8RgAACOSZ/WaZTabjUYj6/iKkJakBl+p4WJ0e18N/wRWXWMA3sN6w+WaVioyKWh19j1zFZUsyzoP9MbUCxMmbrOkE3QHsZiY+25i87igp0bGNoQQrFKpFHLys497vDHjOAAQBIjFpP5OqP6CeZ2dnNWHjwiH8PP06xN8+GgtHjwsKJVU+7EdzzEIpi9CACLEGjkChH5GVJHNbErEESGIIJIu7qg8JpxWEdFii46cn30tTOrCPogD0JvlBcYWCoWi1t8Eg2lISkpKTpw4cevWrbS0tMLCQpPJFB4e3rFjx86dO7ds2VJwvsRkMl24cOHo0aP//vsvy7Lt2rXr1atXly5dcGIVDAaDwWAwdxes6DUe0dExqWlMS7/rlhJvWpM7bY7358ILSC2E7F6Z4x3IJfYElmXUlZxej6RSUultX/PgHwKm0s4pLNLfXLCk+dy3bcqlSS11569bl/iMHOD9WF/T6ZS8lVs4o0MdMGfaxwBQ0TOJz0wYu/Nz0BqUkaEX+7+Q+YqLb+oIc17RruCej2QfkTRkvC3GnsCwZiV+Hf1LhQ0TAIBk9LEXl+qlwXlxY3QMae+f4P5ScUFUqmobXJqmm4IA/e854XxijR8/WHekHVoZM3MFdrDC2pnCX3jBRG0RlwkrVvUSe2g0GgmCcPO/w15QZlmW936hKMpoNFpOabFYbJGqBaFp+szl8sKSKrPaXsvm8H/EygPH9aMGSnVFBu8olzMxCCGWstUItGlC/0d38O8az9YUoInu3dhDh+1rcjdunE9MBgBq6JDIaa/5hoQ4HwzGMy5eTLt5sxbB5rExyg8XdGVZVqfTIVTXe6YjGIYJCpIFBNDFxfp1awYAB+MnHAKA6GbK6GYyg8Eg2IqiqLU/1ngSkElJrZWrtWfqM0GgZ+Y+UGyumgjhAIycw2s/3Sxr3bWdtQuH8XYex7CqM5fT31oi2EQUFcp/0Ot1YfR1wToAwLCIILh8XayB8+Y4DiEICwtzVBmDuSukpaWtWrXKuiQ9PT09PX3nzp1jx44dMWKEfZONGzdu377d8iN48uTJU6dO9ezZc8aMGXj2EYPBYDAYzF0EC9CNh0KhkNBSADCzBEVUPReG+ZblTJ7l8/USAGfRUuHrF55G3UvW7LSEWYpjw0Nmv6R4sB8pqw7YKS31xD51x+6cke8vinl/tnUhrz7LeyZp/j7Pl5T/+kf5r38kn9+iV6lL1+4CACAIIBCYBWKWNH+fB4KI+GZ22cb9ZRv3A0KB08YUfbYBAERRIaas/NoOktPq90f2G5L3P5FIVPuviPEcZc+JZUe1vpXOvMVpXUHM5c/MImVGm6k2EhtCyFFw9L0IQRDnzgtHQB85emvE8I6NPJ46EjR8QMX2P92vr1TWT3YuViIjTQKCF//CTJKkSCQyGAyeee8YjUZ3gu5JkpRIJI6MNXhnDKVSaRGgNRqNUqkUlLYRQjKZ7IOvUrLyqrTsQT0DuK3VMmKad+82uq0FiWPA1ahkMpleEW9TaMwtcdKE+/uYTQl73qlhNIB599703Xtzp0xqO/kV5zUx7sNxnEajraxUT5tei9yeb76e0LFDEAAc/CO7d68AlmUbSIAGAK1Wu2xJF7FYnJpaPu+DM3zh4oVdnVwsZrP5h+/7jX32UHUnVupzUKCksEhYuXYCQjB5ad8iUy2eP0sWzpM9ONKyyZmZ8+0ei/3qPVmntuojAokKjKmZLMsSBKEtPC2zdawBAGBY6mpRs4TgW0VaPz3nJafKETAaxplLCQbjhNLS0sraeBw1a9bMTS1YKpU++OCDSUlJCQkJXl5eCKHKyspdu3Zt3bp1/fr1iYmJ8fE17M4PHTq0detWqVT6+uuvd+nSBQCuXbv26aefHjt2rHnz5oKCNQaDwWAwGEzjgAXoRiU2Nk6bfcXE0mWm8Cj5Nb4wPFhV8c4MWLGS0jhcJcqRVMn3O60X+RvTcrJenAcwT9Y1MeLzd8SxLYBlNBoPX1y37s0fPf/D8Hnv2pRb1GcL55KerN5gWXAcZRg0/ZnsSXfcGziOV59JPy9H6jMZ6MsUlTkZJKvR/W/Mm/23fOGkDqbeQQjJ+7yef/zHkJLjzmtSJlXcxY/yYkZV0OGWeDq5XF5fuQr1er1cLnfTireBQAgZjcIn/Q/rrjoXoBmGSUnJ2LT5elmZ3mBgZVJy3JhWycmxEomkYQbrmrjBfW+4rlUFFVxv6UDzej6JDAYOAICregnnAIATEYRcLjeZTPz/NR/wznGc4Is675gh2L9arXapQdM0XdtzSa/X26jPFEXRNL1hd+Y/F0vUVonaekiKquNCEWpVuLswcazLwyGEfHJO+qYdsinXXbnlqIk4Joy7ZhfgWeJW5gDDV99caxbVasgj7lTGOMFoNH797d+bf01zXi00RJqXX8MapUNyQPt2flqtViqVDugX6igMuR4xGo0kSZ78p8phfOXXfVzen4uKHbpzeKA+A8CUWqrPAFDIiFt3bKP7N8W6sPxyqqD6zKPX6hABATIBu3kzS+TrY6P9i/L0zYOltwKgNEff2pfMCG/RvVajwmAsLFmyZOlSATs7R5hMJso9W7mEhISEhATrEh8fn/Hjx1++fPnatWurV69evHix5SfSbDb//vvvADBr1qzk5GRLD7NmzZo+ffratWsHDRqEfWYwGAwGg8HcLbAA3ahQFFWs8w9X5CtE18wsSRFVgoU3rdFMexE+XOawJWMWR4cZ0wWsGLWnLqV2HwMU6TNyIEBLj8e2aU9B/Kh3Rx773pzt1opa/4kjCLUu8t2XzCXlF/tMsK9QtHwjoOrAbiokwJxfHP3Th7eGTOVLpC2igUS6q+n8pnP1mad8z19pp/6N7XqPxZne6yCE/Hs+m3XaOyp/v4uaHBuWthHFPFlAhFoKxWKxvTWHZ2i1WqVSae3L0cgwDDP00Wa792Ta7yopNRgMRolELNjwxInLb7972sYW9uz54wgdn/xK67GjezTIcF0hUyrk3dtrTrgImOVptdnxDaqWvLfekHVbQNVa+73B4rKi0WicB4hJpVJ7RdgCwzD8azavX3McZ63/euZLbuMAo1Aolq+7cSlVQOEqfKtaiWi5ZjqpP6gJaMW54b8hL0whGDtRT2iVCQDQrWNCZGXg+sbpEO3MdwwDB9zFKZD7gB/X/73yu2sug/UJAmzUZwCY/kaSRqMGAJPJ1HCBzzbodLrxY+L79QkLC5Xr9VqXI9+1O8t6UyRCJlPtliYgVD17/trSPgVmT5YxiWMjrQXopEu7cj9d66T+rbMXAiJJudCajXx1gJmUZZQGEARhYttGSC+H0df0yruQARWD8QyE0NNPPz1//vyysjLrOVqNRnPr1q2goKDmzZtb14+Pj2/evPnNmzevXLnStWvXuzFkDAaDwWAwGCxANzrhsV2hcKeO8TJzojJ9eDNZla2hXKwv9wkUlVfZy3KIQFy1sIIAms8ZlfKCYwHIzJT/8tu73w38cNVt+50UhdxJiHTjluqj0Kc/eT8g/8W5LiuXfLcNAIo27Q94enDVUYL9zQXVS8U5Qw3N0ZxfTMjoW0OmBkwdXfzFJgCQtW9RWpvl/zzn+z4fXnZKglOpNDqhXR7PPCNqlrvLdc30LcZWk9QgM5lMCCGRSFRf68o5jlOr1VKpVKcTyLHWCCgUit17Mvs8EHT0f4X2e9VqraAAfeC3Mws+FBZ5OQ6++ubqj+tvHNjzzF0xZ+y6+bM/I/u7rEYoZPGdk+vroKwDj2kbnFtwaLVaiqJEIhFJkgRB8Cozv4s/2QwGg8lk4mVohJBEIrEY+LgZ++zESFqhULz4rnD0Zce2XtzWqrufsl+ntkYBO2ZBKIoSVwrdwAN8zMW2Mnf0mnmwcD7UOWT25ufL2749s669/CdhWfatmbtPnRb25LGrLFBoueIbTX3m0Wg0vj6g07m+CuRy+Z9HcqwVZIaptTEO3xYhmLGsT6ZBeIrOJV7D+lVs+c2ymTpmuvZSqpP65dt+bz8nSXAXIfZRVagBgKbpMDqlxBhFQ7G/T72t8MD8Bxk9enRSkvD5xjBMSkrK33//fe7cOZFINH/+fH9//7onPMjMzAQA3pTDUlhQUGA0Gv39/aU1M6YghBITE2/evJmb6yyjAAaDwWAwGEyDggXoxkYioTN1YaGyXC2j9CEyrHeVPPNGyIoqI2Zr9Zkn7MKeFOu3QCEME2eQ3V63fz90R322MH1l8aRvVyhnvMOq3NJoin85UHWUAmdGpQDAavUAUPzFpshv59x+ZWH5oVMdr2w/02qY/ZfyGdBV0iy08vgF3bV0+34ufLuhy7QX3Bkbpn4J6zQkMz0u4vIXJOdMLkmTd4Wsc6QijA5rbTabdTqdZwGngnAcR5JkvXTlAadOFwKAoPoMAEaTwJ/lxo1MR+qzBZXKPO7ZzevXPdX4GrRPgH/z1fNvvjDPWSWEBt46WI9jCwyUZucITCGIRJJa5Zk0m80W5Y4gCJlMxnEcwzC8f7RCoaBpmo+XRwjRNF1fJ6FcLn9pjsO1/13aVC1wDp/9TI/IC8ACi9z6qZWIKIITCHamAnx5ARqJRaLIYHlyy4AxD5mm149qbDzwO2ABuvawLDvokR+1Wg8N7kkSrV7Zj7cab8oQBGHz3OFZslWEYPanvW/qXavPsRJDmkEgJP9kUOtwq03n6jMAsEJ3Y54AcaZJES8htUGSiwTiAiVZKtr1JBwG44SkpCRHAjQPwzBXr17t3bv3+vXrjx07VkcBWqPRbNmyBQDGjBlj/dOcnZ0NAGKx2P4xydfXFwAcGVVv27bN3tKKz3xwt+b7BeGc5suxwWAwNKnBO4efQW8KqbbriOWpzGg03us5YBiG4fMD3+2B1A8Mw9zr34WPC9Hr9fWStPwuYglw0ev193RuWI7jOI7jX/bv9liEMZtrd1M1mUyepSBq7X5qSAAAIABJREFUHPgXBycBUvcEWIC+C4Q068IV7pCRKiNQ+Wq/EEWVX2eMXw1JhiPI4hkrA5e8yG+K1OU+j/Qo3/u3886XDmXf2lHXG9k3q296dXnlrebZqpW/1LErQW6/shAAmNKKMy2HWgoRLZF3TVAf/RcAyg+dAoCw18bq07M5g+2NI/udFZ1em3Cv//bco4TFtDJFrSg5uS6o5JRghSuy/s/NVwNwANlfLo+RiE1w798oLeTlOZuVEYsElPFJU90KgE3PUG/59Z+nnuzi4cjqQLsxjxsLS7PeWS64F4lFPS/tUHjVT/pBnvjmXufOC/gUf77i4pRJLT17ASNJUqfTWb/tWMvNjoyknSASiQStY2iaPvZvsZMYbtmO3VqADvvmxWXu4EsIpxM2FnwyjwqWh0x6XGEoFWWkii/9C1AIBYXq4oT6eknlSl1MHGIEmTFrj8fqMwCsXtnXZHLordx0qJencJJEMz5+4KbeLaeXdAch0mauxvUb+OxjlK933uc/Ch/RR9njvW4Awtedzkg1k182swSBOAC4XREcFxHoztgwGI8hSTIhIWHXrl0PPfTQkiVLZs+e7bHowHHcpk2bNBpN9+7dbVTvoqIiAJBIJPadi8ViqPmzaM3SpUvt12GEhYUFBATc3cQbttTmjqTV6sgmNXg3MBqN9eVZd9dp+jOsbtK0LoE6wDDM/fFdmqzW6QFa7T3wKOgSk8nUZCfPTI7DEQQxGAyNkJHFY+6P+yqW8O4CEokkU5fEcWAwi2kK2DuvVUTNx0XEMhb1maflsBbWm52u77bvPO/dLwb1C3J/MDQtHExaWWmadzY4dd5HpFLufm8eIGkRxX/g9AZefbaQu2KDvfrMoyqtg+8ppm6QJOnb8/nCHgv0lLfNLgOpnPJJ9Z3x42Xn+DQ7Op1OJpM16igbhkEPRjrZa59TKDs7z32V6vMvLmk0d+ehqtO053ul7rNPMxjw0sjBuUeDoiLq93AdksMEy//5t5AgPPGHBQCEkPN5Dp1Ox7+Bu4lEIhCOrVAoftmXs257hqNWYUES5uqtvr8+Z1Gf3UShUPimC1gSFYT0CP71K/nuTeJL1bdHKs1F+GctcGAwjXHCD+uOnThZ5HHzpYu6mc33xhNkdraKF3zkcg/jFeJilc8t6pd+J6iZuBPAGKcQFpI4EFblOEDBy6pD9emYCO2Vm4I1Cbm0/8k5EsrhK4cR+Wdok3n12cwS/mHt3PgeGEw90KlTp+jo6L1793o8tcNx3JYtW3bt2kVR1CuvvGIjNPMismB6Q76mo4jUezoED4PBYDAYzL0CjoC+O8TFxZlyLyglWo7TsRwCVPUkevuFBZGrHfov+53aByQJdx4fz3V8WrBap20rD/oOd3Mkej0DAM2i5JlZApOiu/bl/q/7pBcOfuJmb7WF9FEaUqsTHAW+OV5z7Jz29GWXDU88OW3w4Z8aaFQYd/ANCOYeXpKfc9P//Ncitmr+dvHFARpttcNgZpaa9z3gOE6v18vl8trOvUulUn4lKf+2xrsrNLJfqjUymcN7JkkiLy/b5PI/b04RrOyIjT//M/GF3p6MrM4ERYYPTf9TU6kquHhNm1/o3yY+sHmMyEFOxTqSmCAsQAPAq6//b8Vn3TyYSLf2gBaE47ha5cO0fyFXKBST3//XaLKVuZ8fHu5blM2s+cWcXcCUVSonDg8sOmdTR5l7Ru3VysnhKIPAymgOEbof99hPFNN/H6pw5cjkLg3zX3y/olZrX3h51+3bnscQLVnULSCAvFcWJvv5kT+vf3Dcc3/QElKj8eTG2+ulLmq26hSWINbAEQRwLKCWXuiWA0ccBJygDJ2S0N3/zmf/kYNylq0VaCyi+pxaoJA4m8nzF2cHoqoHD5XRJ9gXuz9jGgmJRCKRSK5evcqyrAfL+DiO27lz5+bNm6OioubOncu7aljj4+MDADqdzn7RD//g5CgUYO7cufYzuJs3b6Yois+j0ESolVAul8ua1OCdw6dKtk5WcY9iCeK2PMDfu/CZru+DABp+6QNFUfQ9nkKJZVmtViuTye71ZdBarZa/5crl8nt6/o/jOK1WKxKJahXi05iIxbW7ozbxmzA/wXxPnzOABei7BUlS6bq2UbLLCHEk4jioetlqEVloeW3Ke/Qln3N/FvV9OmrDh5aGHX6eefbJxfxnRi28asN48/Z7G5p/8LlwcJAgvPosmKvQ38+tZbOewZSrAADuKClFn7qrKWtPXtwVM2BY+qGGGxvGJQgh/4h4LvzTzIzUqEufbtKP37v/uk2dU/8Utm0tAwCWZWsV8iOXy41G4//ZO+/AJso3jj/vXZLLjXTvPWgplJa9QRBBhjJEEVAQGYKioqIiCCoi4A8VlSFDRUEFURCV4WAJiGyRIVBWB6V70DZ7XO73R7CE9jKb7vfzV3LvuDfJjdz3fd7vU2WZFUKI47j6WnslkUjWf1X1A1bywOCI6veDi2muhepv3HRtyqTe9XVfQQhx3l5c71q3AfH19Q4NpfPyRH7HCqVRNPTYIc58aSaTiaIoJ5dWWY/B8hA77Y2T/N1P6AQBL9z4STfuvPW1uPizH81rOxLmu9Q6TWBr0NsM0JbL5ZF/vl19+/WgIbLi98XbMAy4Mp0jW/epYfLU6tuRn3/1jRhRKiqUQ4Z977af0NzZHdok+6lUqsaiPgOA2WxWKpVLFndbsep8Sak7axKtvy29gADADAgAfhHLhUaCECQz5RnE//orBbLyYNVn5JiVaqgyDYNQr1Pv+7BK+0Mi0O1BCQL4RvVx6mNgMJ7AYpdpy4jZYdsff/xx/fr1gYGBc+fODQoSWewYHh4O/1lYVrknWqb/vby8RDsfPHhw9Y07duwgSbKBKVYu/DuSyWQNbPD2MJvNarW6aUiEFgG6IWtSTmL5H9jYfxH4T4AmCKKxfxae5zUaDUVRjXpuwxKVZRGgKYpq1GK6xSS94d0p7kCSrqmdUqm0wX4W+C8gr7EL0I34iG/stEhM5v8LC6o8iAgkVLTpaXkduvNTWeFN35O/W7cK+vULKt6eCYAFZucvy5b2dHVIJpPQuVMAAAQF3hGdo6Nq14IDwDVPt0pM+cW7B09uyD7xzQSEUFhsy6KeCz9aKSLOHv4rr/LO6tItFiFUXYW0RIjU141BKpX+vidbtAghmP50j+rbdVrXlCaDUdBqG8fa/BoydXKyraIv1qe5cWd15ujS6XQ8zzsZEmX971YQhClzq6rPCGCW/Izu+HmRxtWuS7zUXgSNVEJW/8ACIOnHNlefIF8fACBCQwJ+FfFiqo6o+gwA1NAHnGmOUas1gx50TX2WSol5czpu+uq+TV/dt/7z3jHRMk+lwaxjvL1g8YKum78ZAABSqWvnpnVth6coD6iDr517OiL9b/s+GQqKAe460SThQe2OrQz0cqA+W5OniWrs+gimcZGfn19UVBQcHOxqQ4vv88aNGwMCAhYuXBgaGipaLSIiAiGkVCqrz7Omp6cDgL8/nnHEYDAYDAZTb2ABuj4pk3S3vLAWK4j+vW9vBCBMBm1kS+smCKDHaJur1ytRHj/fuXPS1s0P+vi49nB18lQxABQW3fnnGh/XcNevqQ6curDtF8trS1xJ/Y6nOePrH0iKaGhwKe1WpR2hS6qiLZ8Ns9lcX/N+dubblyzuXt1/AwAIse8EAAL8qZAQcRldqWw6uTXsMPD+tt7e4nGOB//MpSiXF144Ob1hMpkEQaBp2mFv1mGqoofc7HtR+dfi4i8S7tIpi1sOs6M8SiSSsFNrqm+v8IpDtq9pkgeHAIDfF5/xJSLpHJ0n4olxNWneTDAYjAMGf2unwoI32wIAw5Cfre4WHCzv0ino26/7f/lZn5homVqtVqvVDTY9izMIgkAQxImTeQBgNLp2n7VObmF2FL2IQJBKpUPDb+/CT2IaGmqirM5s36dGWV7k/O+zyo2yhGjF71+lr/s8NsiFjJoCQEzL7s7Xx2BqAs/zp0+ffuGFF3JyclJSUlyajxcE4fvvv9+8eXNYWNjixYttqc8AwHFcWFhYbm5uYWGh9faysrJTp04BQMuWLW00xWAwGAwGg6l1sAVHfRIaFlF03cubqjAKchKMJOIBINBHpSYkhNmEAEAwB+3bWKWVPD+z5YrnLj+/0k7PhvQcs9kcFha86+dxG7468um6NLcHGRgor+NUoJIgvza7Vp3pPMaZylfGvX7J6PXN91lFxXoAiIxgp0xK7t0rUS6vRecQjCgTn2jx+ZdXq2xUq01SqdSyHE+lUsnlcifzt9pJKKfVaiUSSR07QVMU9d7Sqsa+lXTtkiC6PTSESU8XicgrLrF5VqnUOpeDoxonn60e8Ohjv1TfbjCYRXMo2cf5aQm1Wq1QKOzXYRjGWjLWarWtW3hdvHZn3bQ3Jyl77i3xxhISwV0iXUVYZ7AtQFMURSlF/AjylSHVZXIhLlGIaUHs/0USHW4EKB481P4HsQ8KDvKq5iKKqc6UaT/aKR0yOKq0jB85ImbUwy2MRuPSJd0NBkMjDXa2RWGRtlUSJ5USxmoe6HZITvbRml2YLxQACYLZZDAkKGRXlYTaTOTqiSHhsOMmWOzBTJHhlpq669kAII0Mkax85xIVAgL09HbtC88ztI9xqQEGY5u1a9du2rRJtEgQhKKioqtXrwqCYPljM2HCBOdvWIIgfPHFFz///DNBEG+99VZAQICdynK5vGXLljk5Oe+8887q1astRpYmk+ndd981mUwJCQkWjw4MBoPBYDCYegEL0PWMIqwvlGyXETqzcPvPKIGEiq4DfY7usrwteu1zv7WzybJi61ax/2wpe2FMwbLNdnq2hFcghJ6c0HPkQ203bT711TfX7dR/ZWbbDz48W307ctvw0l1MhaVOqs8Wrl8ts6jPAJB9U/3WghMAJ1q38ikr00ulREgI/dSk1KSk6EZtsdQo6NkjproADQBXr5WHhUrgP98iknQqAVelbF0dk8nEsmwdC9AmE/rnjHh4nVxO2spXMObRhL+OFLi0I7LZHKgREaG2Eun9tD1jwH1BtbemwWHPVQ5RnucH9gqxFqBtGRHQvTvuaz98FPxQuSWn49N2tEiEkO+NQ+Jdbfy8+kbznMUmnqf++FXx+Uc1D5VvsW1Ljfto+vyw7eS16/aMHXbvyR4+tHfbFJ8mJjpbExggf2LS/rBQWjRfsQWFQqJU3nVZfmB86yzBtQUrFSZEGo2tvamrStCbifNlEMVCiMx4Uy8FAON/luVITnlt+OCsd0xlww5B6c7vRWVgomPFZw0xGDdIT08/dEj8Sm6Nt7f3woULx4wZ47wAffLkyZ07dwJA165dt23bVqVUoVCMGjXKep3Z5MmT8/LyLl269NJLLyUnJwNAVlZWWlpaeHj4/PnzG7txJAaDwWAwmEYNFqDrGTlNZ6oiw7hsAt0RREzyO7bLAUueKn1qof9nc61bIYD26oOHe7VXHRYPyaQSo63fenlxT0/tO+2pPgaDMT+/ZOx4kajD5SvFnEwBDNXSEtY90ojg4FlP5sxeFvj82MIlX1Yp7aG6uB2qhoRcvFRmeZF1Q338xH6ZlFi4oFNKm5h3Fv9xKa3cbBbkFDntqVb97m2DLSA9RUxMiOj2LzdcfuP1FEvgj06nY1lW7UTyNPsSYd1PJ5y/YNPooEe3QFtFqSlxAIdd2lFAgIPg3KbEuMfiv94oMjH23Zbrw4fGOHOcVOKSWq3RaGiatpXNkuO46kqiv+9diyrCA+96G7drRfoDz/t9tvCNdUXxxXfC20taDColfezY3NM07Zu+v/r2ksB2AJeqbydemCBtnQqCgHQ11Z+pBW8qfHxq2EmTp7CweOnH52yVKhTSF55LTm4doFKp6nZGrB748L2O5eXGefPPVG7x85OVlt6ZJqyiPrOs5IZQaX0uOJk97EI5dFRITUZjMCUt0CODGU6VCJ2DpDezAQA0foGIpkI2/O+YV7xg1aEvaZIQvPO7kQX2wUocxoMEBgYmJibaKkUI0TQ9YcKEKVOmOJmEoJKysjLLhOjRo0erlwYFBY0cOdJ6zZBCoZg3b957772XkZHx+++/C4LAcVxcXNzrr7/ucOkPBoPBYDAYTK2CBej6J7pld/WNPBl558mNCL2jZyEQqqjPt7ebzb0Sc/dc8OJviWTTTv7mfyJNEKIoWXR06BtzUt95t+oTtcFwV6RzfJzieroSAN778NK8VrG6SxkAEPjSuKKPvnHhs9WA+N9XXx/4jOW18WbBzRlLgCSqq88AUPzJZqLTc/YDtQ1G86w5JwBOVG4pB+OCRf8sWPTP0AciXn7pXixD1xxbphmZWUqJRFIZzmxdzZKRWaPRVGmCELKvJ9a933f7tjbXvY4dbfOxUyqVtm7lffFSufM7YhgH9sRNiTGPthUVoAHg2PHC1BTOmR/aIiS5dEhYsjbL5XKJRFJFa2ZZVjSONdj/LsU5zOeuKZD04S9mLPrgg09vAADL3gmHL4/sKdiNilWUXkEgcuIUBXViQMR0GGnU6NRtGULyyEOmrfasIewgGTEs+eGH3WvbfBAEYdr030WLPljSfd36tDdf76hWq5tw4HMlOTnq9z48HxpKA4BcTuh0ZpJEFvU5LpZLzxD5Bp6anpx3Rw12Vu0t1CGtQkaZdN0DpT/dBADI1qDs/24RGQIHP27NqNaqm+/tCUKjmZIRDmzD8lQh0RFeTo4Hg3GGl1566YUXXrBVihByw1fKQufOnRcvXmyrVCaTVV+ApVAo3n777eLi4tLSUkEQfH19AwIC3B4ABoPBYDAYjKdoLmu9GzIIIT17j7V4Igu+82jEU4xIG0tDgH6PBwdPH0NYZz+TkCmHvoxJaW1nj4MGdYqOZO1UAIDrVsa161o8anlRZ+ozAKQPf/Gu7EUAwNvQmHlzSpL7YR07dt3s2//rn38+iXMY1hDe1g8EYP3ko9VqWfb24ccwjFarZRiGYRiO4xBCDMNIJBJbjhaVGI1GjuMUCoVCoeA4rrbnD1iW/WT1v7ZKk5Li7LT9eOlg53c07MHIZuUV42vbgHj5J+cZxubVzxrL0eVSuLQFnU6HEOI4jmVZuVxOURTDMNWnQyxU+V1UpjtXJ25Evw87PvvHwXzLW5a9nazSJONs2chYYBgm6Ly4bShx8pTD8Uu6dhbd7rXpK/sNpY+MTF30jsP+MUeOphUUinjWJyZ4R4Rzb77eUaVSNYcbB0IoLIx9b3E3S4yzTmcGqymfSvWZpkmJBP3XBMrsmtXa4UARQdO0yWQibKvWd9usCwm+eZZXDtVn3kxEJPRyb2AYjC1IkpTapibir6+vbxvbJCYmiv5nIAgiKCgoKSmpVatWISEhWH3GYDAYDAbTEGhGSkdDxj8gsFgfVvlWLr9jP0rqxdUQCxJNRbu3nx9R8NfA4iM90nbee2PvQxV/J3TuYH93CKH1X4wMCpQ7Oby8fK3P6gXiAwi8rR/JW9vT4NxA0OnB7OyD/ROtXdaeqrBk6bkl7+9pDlJC7SGRkLaKqjwgWb5ni9GBIAgajUaj0ahUKo7jNBqNyWQyGAwWo2dbHer1epVKpVQqlUqlJfyw9p6vOI577Il9x08WipaGhdIkafODAwDHsUsWd3FyX89M6+7y+Bo5k59sYasov8CxywRJkkaj0Y0zl6ZplmUtx49ardbpdHq93mHofSXZ+QYAAIQMHy6an9PGbIbSW7e15lbxt3Vzs5Sxk0sTAGh1fpV0hRa0bLDQu7/DMXh9vrT6Rr81n7Ro29Z31QrxNiTp9+mqlLdtpE/EWCEIwvwFx0WL5r/RyWQyNYfAZwsIIUEwU5REwd2Z6qt+aGu1vOk/z674eIXW7P4/zGMFxsPFZN+g2299yar+JgIg+O/cSWb0JOFssopbZFf7V2wMBoPBYDAYDAZTG2ABuqEQGteT/+9pjZPZE52rUHj1EgCwLBsSHekbGOikrSFFyb795uGQEGcX+7+zsVQaKhLNZCq6ZXmhu+hC/p+a4/VAb+u3eXOWk2RN/Ry378weNeZbZ/LjNR94nr+Zk3/2bPrly1n5+cX2K5O2Begqh6VOp+M4EXcFvf5O8JrRaDQYDBRFgRM4X9MZZDIZx3GWoGyHQbiPj4132GGvnm0mTnCc8OrNuZ28vZudRePo0eJhvADg6+P4N3VPS2IYRq/XVw+adt4WtrTcIEuK+/3JN5Z/WzXJZMvo23MhpK7czryIRCIJPr9RtEjd+4WQmFjHg9BUHX/w1u9ievcCgNg+98Qd3Cd5+KHKIhQfp3hzXurpEzE9ezruGQNw9Vq2WiNyO4iLVeh0OlsG4k0Ss9lsWRlw9px4ItbqhIY6tXzBFiaBKDMR+wtu3yNu8aLn0e2ztUtgtq1+zALKUKVUvi3VBYSFR9VkYBgMBoPBYDAYDMY98JqshgJBEOXSnn78nwBAEoImuhWTJZKBqjrs8d+gvU0Fxw40Ld/y7egXZ27/+x+b2dUq0evNFya9lLhIxI1aFCohSn/1hhujchLjzbtFH7N55AMhW7bn1bDb3DztszN+XvPJyBr2Y5/i4tKVq05cSrulN5g5Vnpv3/BhDyYFBvrX6k7d4PfdZxa+e5rn78jEHCcZ9XDck090E7XIkJAkQYiExQGA0Wi0fms2m1UqFUEQBEFYh4hW8SswGo1yudxOsrjagGVZlcq45IO/s2+qlEqjw/qhIY4lY4TQlEm9k1sFvDJbJImQhbfmdhg4sK1rY20SsAzdMtHr8hURL3u5nHQYY+qGAM2yrMFgEI1NtiNAF9+6a2m/SsO/7zfM+G9Z9Zodyn+7PTZeb0eApuWURC/yqTVMiE9wOEKoTCZDdh08kNlMDn2A37ELACAstOUP37Ned+ybfAICfBbMF95+i+d5y7lmpytMFcxm86Sn9ogWvfZKe56397s0SQiCOH4iHwCGPRixfefN6hU4VqJS34lTjolV1OQ7KjZZThzHE0IKkveRi18mzAJS0/0UpM7isi4IEBjbtwaDwmDuYDaba7JmjiAInAYTg8FgMBhMcwML0A2IkNCwG5eDQ9gCADCERDkpQCOD+9ocSZIrlj107ty1p5876LDy9t0Fb48aqNwinpGpCrWqPgOA9uyVKlvaXTuyBZyIGXTEufO3Vq05MP3pvjXvqhKz2Vyp/hw7fn7mq3dyIRaCLj0jbd2XaS1ben/0/v0+Pg0lM9Ln6w59seFqlY0qlenLDVfWf3Vl0YKOffu0q1KKEHpwSOT2nSLBaGfP32qZIBJub9+gAAB0Oh1BEBazDoc1SZKsSQA7Qohl2Scm7TcanV3NDQApqU4ddQihHj1aH9yX+M2mI5+tu+uLHTIo/OWX+tK0s5Y4TQyEUI9uQaICtDNP964K0PaPJTsH5A+/33VgmwWIjmKvXVdWqRbgTzGq3Mq3diQGpkj8Cq/s8HgAQgDAfvmT5vEhtppbkLRphWSy2Jkvct7eovuqSfKr5sxT034QPRaemtxKKm2O62QIgujWNVS29uLOX3JEK1irzwDQsmPIeReWcrlPRy/xFK9mAQzeA1kZJTNSQhkgBIVCl0hsvoHxECtXrvz555/dbr57925sBYPBYDAYDKa5gZ9LGxaRiX0MN79HCFD3LnDcKam3ot/owJrtNDW1xeEDcctW/LHlh0z7Ndfo2z1O7rGZDNA2sduXZQyzmR/cI9zasAM6z6h8GxwsLygQSR7lDN9sut7nnpjk1jE1GY8gCH+fTnth5hFrEW3mjNYfLr8oWv/y5fIhw7aMfyzu6Wl96z0uJi+vsLr6XIkgwOtv/B0acnHL5rHE3VmiJoxvLypA5+ZqqgvQEonEfoo2C5ZwaYZhCIIwGo3WNh3W8DxvsfVACGm1WlclIo7jZr9+7OWX2rqkPvv5yVjGWR8bAJBKJRMn3DNxwj0uja3JI4j5INcGBEHodPYuC3q9vkpUfiVRYcyJc3ctFunWLbC6AL3keR/03+ybmbB5hLMsG3zy2+rbBUC+sW0sr30DA2/NeZd6d46t0Zr9AxMeHV3bGTibIWfOXL50WWRGJDiY7tUj0JmrVtPDZDIJgmA2C74+spJSB4n+AOC8xuaFsaev/sgtmeBEdLMTCK38qq58EgS4oYyOiG0rQwgApFLpTW0yBfmRiR6YosZgLFy+fHn//v1uN8cZRzAYDAaDwTRD8JrchgVCiAx9OM/U2SAJEEjH0wMG3+D4Nh5Ytk8QxEsv3PfHnvHPPZMcE83ZqpaXp5V8+oEb/de2+mxhwauJla+rq89TJrVyvqvnXzzgMDjXPp9/8eeMl45UecSwpT5X8vWm9PETvjcaqyZcqmPeXXLEYZ28fO2Tk7dU0XmDgvxEK2/ddr1KsA/HcS5pxJYshXq9nuM4WwK9JZucWq12NbDIxEvHjt+bm6+eMfMvlxp++3XturU0E2wJURqNh08EhmFMJnt9mkwmUasKluO2/lbVdkAgqg58xJDgNje+r3xrljK2VAZKWyS6/VZoZ+ujN+7e/rINP5v9qvrvm719+aXrIr/9BavPHkelUj/7wmHRoo8/6Nk81WcLer3ez0/ujPpM0+JXYIYwP5ni06l1wohoERMnNwiRGeWSu34RnUlWLusTGdfO+jYRHtUiItFxVk8MBoPBYDAYDAZTe2ABusEhkUjCI6KiYluR729TJXWxX1kz7jUP7pqiZI+N7bbp69F/HZz0xWf9RZXo/63JlIQHVd/uKRDlvp6im/e+ndLPvxBf8D7o/jCRrnT8kSNOWaCIUlJy60vbEcT2Sc9UPThio1pdJ6uXbfDvRRFn2+pcu6586ult1ko9SZIJLUQ8kQ0GM03fCYijKEqtVru3jl2lUlmMoW1VsARBO98hRTHPPPcnABiNrkUkzX+js0LButQE4xIXLzm2p3cShmFYlnVo5EIQRBXJWCqVchw3/a2/q1fOKbnLItzLS/JK5C7rLRJ9hahAzDBM+IlPRAdg7ji6ypbA0LDIzb8y3+zDYzxwAAAgAElEQVQiFi7nJ88gPvjM6/s9kVt2R6Wk2v8sGDcQBOHZGb+IzhoMuC+0mQctCoIQH+vVtUtQaoqDjAXvvNOxyhaGMA+JlEzpFu3t5QUAURFhFKrRFK+Fnn53JnKKtb4lRE9ZyGAvb58q1TyYohaDsbBixQqT06jV6m+++aZDhw6WttgWCYPBYDAYTPMEC9ANEYlEghCiKHng8wv1b29UtbIpQwe1SKqNASCEklpGb/p69Lbvh48YFmWt5r00o83ACzv7XP8t5PXJtbFrQW9Q3N895cjXrTa/TyW6lq3ecCUrPKyqLhkZwdhv9dvuXNHts+cdc1tu2PrDOfcaWlAqTZOnbq9HscNocFYaSLtcse2nU9ZboiLFI+jzC+5I6nq9nmXdl261Wq1Wq6VpmuPE9+W8AM1x3BOT3FlFS1HEff2S3WiIEUP89/pkzQWHqfMQQgzj4By3oFarHdaRSCSVEypyuRwI+ZLPr02Ze9JoEjkjCkvvCr38ZoZOaqy6C6mu1PpolEgkDMMEpO9BgkiHWibIN0DcUck3KCi0S/eo0eNDU9spfKrqaxhPcfLk1avXRMw3KIrYu7+mSW4bOzzPBwXRLzyXeu58if2aN+H2KckRfGvW8HgrxVPdYxKiwqzPhWSuprHk4ZRRKpHma6JKiR567yF+kff4VlsrAP/9oarhvjCYKhAEQTqBIAgZGRk9evQYN27c6dOnCYIIDQ09fPgwNoDGYDAYDAbTDMGT8A0UmUxm8br1CQiE5xZq1aqSnRv9Dv1Q+RRllsiMcz6jazmMIiQkYNYrA159WeB5XhCEygc5Kiy0xxszdK88dWTy62U/uu+CJ4py99Hzu496D+41+J+fNRXKM0vWFn680cm2T/alF226Kytj9k03Q4nNZigrK/f1dUfruXTZqQhiO9zIVq9afeDZ6ffWsB/3QASA09FpH358fvDANix7W3GIjFQAiCg1y1acmzu7TeXbmsvrWq0WxHLKWQ5RhwkJSZJkGCYzq6qHr5OsWt4XP0B6irAw8dybHCd15jip8kOwLGsymaRSaeWBQdO0RuPUdYAkSYvHglTGvPTuGa3O3iFUVmF8YHDErl9vAsCSt5KCs9dWrxNx9COf0A5FSQ8ZjUYZiSKOLZMYKkTVZwBQ9XtN3MIGUyfwPP/qHBHzDbmc9PGW5rubVKApMXZ0wpx5x+xU8PKSfLfxYW9vThAEs9ls5yIZG+x7WulmCuV2nK5rUrTcibhmnIQTU18IgnDkyJF33nln//79RqMRADp16jRnzpxBgwY5OWmKwWAwGAwG08TA/8sbKAghuVxemS+LZrmI0dNg9DQA4Hm+jpUvW49wcprut+kjs9n878G/rg1/ETzqXFz+6+GfuA590n/v9e6sillP7Yu7X9A5DphC674BeoinxrBn76VHR3V3o6FHwq02bk7v2TOqXdt4D/TlIjQtUSqNjuv9xzPP7fzqy0ctr4c+0HL9V1eq12nfrobJMsWpLlBaLDgsoax25EvLnMrsufbEFFusXtGzVSucz8pj9OgeB3C6+nYvhWMBmud5g8GAEKqsiRDS6/V6vZ6macuFyxk/d8uEhKUThUIx+fUTDpssebV9fHz03Dmg1+uZb58SrYMAFHmnFXkin64KWjrQz0b4M6ZuuHY9V9SHZ9bMdgkJPgg1a/8NAJDL5cs/OZ+RaXPSbvq0luMe72V5jRCy/0clLNAfXbsp+p2yBK82k/4SU/dgSXxMFADodLq8wmJGTvn5+kilLvhHY/MNTN0jCMK///67bNmyL774wnJPSUxMnDFjxtSpU106ejEYDAaDwWCaGFiAbtAQBFFaUuSdv0mObofvCQDZ0IEJ7ch5+TaQVaUEQaTe2zu14i6P1OvnLvx7/1S+3IHjqgME4WDs/V1Ob4lolfjQrZPXz/578dGXjTfy7bTQX70BnnNG3fZTlnsCdGILr+Mnims+gJmvHtr3e1zd/9ATJyQsXymSL1FOETq9iJZ37bqycl7E3188ZvzHnzMeGRlbGYiqVqtpmrZEMbsNRVGVkzTWEASh1WqrB0dXQRAEkkQ875SuRBBAUWT7tv7z3+zHcdj62ZNQNpzfMzKVDiPZTSaTJdDSkl2QYZjKH92lo4umaaVSybKsk6dbn85+8fHR/42fuuXf2rfEQYpR+5iGLsD5BOuXlatOiW4nSCSVEgDgZBx9U0UQ0JGj4vffMY/GPTOtV3m5+tdfT5WVG7y8pD26t/TxUdg5mwiCmNTOf9f5PIVObVDrTxwtOHCo0LrCgb3jKy3U5XJ5bFSEqwOWy+WuNsFgakhBQcGECROOHj1aUVEBAN7e3qtXrx40aJCvr299Dw2DwWAwGAymnsECdINGJpP55X8lRXcifxFAFJyGvNOGXHmRYqB/eMsGIkNXIT41OS7vcG56ZtqspZrzV4zZBW53daLDKM2uVYn9esa3bRN/+Xe9Xl+Yla08d0UWEuAdF6nXaDM/2WQqKTPr9Ga9URCgfYzvP2dueeRTaLVuxnT37hX39aZ0l5qEhdG5uVX1Mp3OfO1adkKCa17YNWfEsPaiArRObyYIEA0nPXXqYteuKQBgJ8DHoZ+vqxAEIapOWk4Kh3GvTtqAbFh3X3x8lMcHj6lEIrEZKUnTtJ1ZBIQQz/OVojPDMKITEg6hKKpyL4IgODwwaIqY90I/6y0l8QNrIkCXBHfyYfCsRn3C8+a/T4snvTQYzABgMBjcy5vaNKBp+rkXRPxJAGDMqBiCEPrc99Xdm8/17xf69luDRf+iCIKQk1P07IzdRcV6W3tc+9lfzz/rpgkVz/NZGVdbt2nnXnMMxg0yMzM///zz5cuXK5VKAAgODp4yZcqLL74YECBiTY7BYDAYDAbTDMECdEPHlPi89OrS6ttlSBeu+lmfRhf5PxoYFFL3A3MIQig8Pjb8h5UAYDabCzNvnH9hsXLvcTe6+veB6Wj/uoTunQCAoqjIxBaQ2KKyNOKjedaV7zWZ5sz99a+jhVV7cZ0B/cPca9iyZbitIpmMMIil+KuuPluYMfPArzuecG8YbiOXy9u38/vnjIgcY0vUfeud07/tTIHbSeFIjcYppYYgCGfsEWwhKm1QFGXxT3fYs16vDwtlsm/azE1HELByWZ+EhBi3R4hxBrc9hSQSidFoFARBoVAAgEqlcttb3HIoIoQUCoXByPt4ScoqxOef5BSxdfWDVTZGJ6WCY9MOcUyknBsw3c3GGA9RUmJz2rKszGBRlJotBEH8dbSwrFzcBWvzlkzR7Xv35w0fdr1jhxZVtvM8P++tXw8ecjAtvf+P3OefdXmogiAUZ5+Xqy+1alfX901M88Rid75w4cL58+dbthAEMX369OXLlzfMABEMBoPBYDCY+gLH9DV0GJYrDBxvq5RC2ojSDcrLW2ui4tUBBEGExMUM2PHpkNJj91z5RZ5S9YnUIef7Tc7JyHSmpkQieX/J0DmvtnV5lNUYPcrN+CmpVDJiqHjY8oZ1/US326K83FgvP+577w50qX6FlVrn4+2UlwBJkjX8aBbf3sqYa4v1M0LIkvDHYe4pnuff/18PW6XjHov7Y88T7dq6fKxiXIUkyZBgWrTIZLInKFuUa7VarVQqlUql2+qzXq9nGIZlWZ1Op9frn5l7orRYHxcmn/xwRJD/XQdzl1SfraseqHQGqIQgyKJwm8eSHcyEVPvQUpwnrd7JzBRJnWrhRraymQtJLMv6+7ljprxvf0aVLfn5hQMf+Nqh+gwApMTl71yn1fBpa4M0f/imPN7MfzJM3aBWqxcvXpyQkGBRnyUSycyZMy9cuIDVZwwGg8FgMJjqYAG6ERAcHndTYk/aCBCuy658VHZLfPlwg0JO0wGR4QP+2myrgteD99gqOtHxUecFpqFDO329fqDE7hNsXCz39ZcD13/e389PRDB9dWZyQID7nn0vvtBHdPvY8Xtd7er69RtuD8NtWJaZN9tN/V2tEQ8dXfPZBeu37rklWKNUKjUajclkksvlLMtyHMfzvE6nk0ql1l7AdrBzRI1/vAvOF1RntE0VP9fmvHHMTny0B5/wVSqVWq02mUwymcwyLXItU/3Zt1n5eVpGCq9Oio0Ooz+e22Hhq/fZSmvG9p7g6k71cl/d6E8YTlHDwWNqTkZmha2ibl2D3Z7baDIsfNdxIs3qeHnddW89e/bayEd3OLk+Zu5rHVzaV8bVi15ZKxhUbmzxDJ7RwdQ25eXlP/74Y0xMzLx58zIyMhQKRd++fa9du7Z06dKkpCSsPmMwGAwGg8FUBwvQjYPINgNugb0MPCSYggs+K8zNqrMh1QSpVJq091PRooqdhwAg4Pmx1YsErf7PZ950fi/xcRGH9k/6+sv+CoXIs2iLeMXX6x+Nj49ITIze+dP4fb8/tmZlzweHRLZv5zd7Vts9v459aES3mjxCyGSyz1aLa9CuotXVKFOf2wwZ0nHY0Eg3GiqVRtHt4WF3XG4dJpdzHkEQdDqdJQxWEASCICiKqnm6sJrr4xjnuae3+IqBmzfVNH07OLp6SrHaeMjf+2fVNGsqNb9kzbWuKX7JrexlBKXkdOED7wvg1JDMiLza9RXJmGUUhfOk1T+CICxbeclWaVxss54hYFl2zLg97rXt1vXOeX3y5OVnnj/ofNvU1AQnawqCUJq2PYnfAQB5AU9ynJdLg8Rg3OC9994bOXJkcXExAAwbNuzPP//cu3dvdHR0fY8Lg8FgMBgMpuGCg0QaDT6pEw1n35Mhmxl7ACCyYnO6dkB4vGtxQ/VCqx5dymdPyvvfF6KlxSu+Fd++YXv+q5ND4mOc31F8fPTvuybk5RXtP3B93/5sg0FgWfKlGR2SkmKtq9E0nZqalJqa5HzPDklObnH/gKu79+TWsB8CuemQW3Nmv3q/VvPrnn2OP4Kf751IN28v2a0yEbfQ3Xuy+/cLtujO9pPL1QSWZZ03bLUT2FhSogkM9PfQoDAOSGoZZKto2rOHVi3vCQAWj2brn8zjmSFpmv5xt7gQ+cjQ1g6b+wcGa8d+atj3iXfhGVs6tF7uV5QyNqR1lzgcItdgOHjwnOj22BguI1PVwB2uahvRpAXOQBCQ3Pr2xPlfRy68OvuY821nPJvkpDW80WCA9A2hUAoA2fKB0RFYAcTUBWVlZZYXFEUplcpXXnnFpea//fab28kPMBgMBoPBYBopWIBuNBAEwSc+B2IJCa2JM+7JvlIRlNi3TgblPgihbm/OOKLRFSzf5FLDs1Pmhfzxjau7Cw0NfHxs4ONju7nasIbMf2OwTPLbzl9zatJJXJy94Pfa5u23Bt/X78LsuQ60g6Xv96p8nZjodfxEcfU6ZqFWQlatoWnapXRhdsajUtmb7MF4lpCQAIoi9HoRqauiwvD91vRHRsYYjUaapiszTLIsq9W6vDgAIUTTNEEQ1ec/KIr69UCeVicSmC+TEb4+3s70T1EUNWRmcVGB7NiX3iUXK7ebSHlpbH9ZygCFt2+oq4PG1CZms/nNt/8WLRo8KGzNp1eas/8Gy7LjntznXttxYxMsLkYHD56f84YLOTpZlhz9qFOO6sqKMp+cLyTICAD5kBSdVNe3eAxGr9f/8ccfrrZqzlcVDAaDwWAwzRYsQDcmGJYriXjG7+Zq+9UizcdvZPoGx3ggC1+tghDq8b9Zh/WGorVbnW+lPnZeWVaucE4MagjMmT2QkOzZviPbvebxcRzDMJ4dkqvc0zt550/hk6fuKigUd6W4v39YYkJM5dvnnml//ITIku2gQLryoauWnr5cCiliWfaxJ2xacstpbABddyCEHhwS9cOPmdWLHnwg/OSVirFSqV6v12g0FndXmUzmRgS9RX222LNwHGfdA03TG7ZmHj5VJNrwtWmJLu3ILzAYhs7Wm0xGvQ4QIiVSmUyGw+kbJtfTs028+OUoLa3Cz09uMomb2jd5GIaZ+eoR9+K/KYqYOLEbAOTk5Iuqz6NHxe/YlaURSxiw6avhzkxV5uekRym3WCqqBZ/Q9qPdGSgG4xZt27YdPny4282xSTQGg8FgMJhmCBagGxn+AUG56rGht247VJgEqSX2pwqRut9yi4IDAkPqdnQugxDq9dG8f/t1vTr6VedbXf9pd7snR9XeqDwLQui1Vwa0Sz2zYJHLSZxCQuh1n46sjVG5ip+fz7Ytj2Vm5m34+uzuvXc5csx6OWXY0M7WT1NxcZEEgczmqppO2uWySueN2nj6Qgi5ZNy8dVuGHRlcTuHLY50ycULH6gL067NTPlqfAQAHjhV0asMCgEUNdE8TZFlWVLamaXrJ6kvXsmwq2n16pbqxO4lEIpFwbjTE1CXLltu8Mu8/kN+3T1jztOBgGObV2cfyC9zMQPDVF4MpmUyv1z/2xK+iFb7bcl10+/p19wcGOk7/m3v1RCx/O+zUDIhqM929cWIw7jF16tSpU6fW9ygwGAwGg8FgGhNYYWl8hEUnZlTcE8MfAgBR9RkAEEBY8YZy9jmaYUUrNBwQQinD7m9R2vvXwB7AO/Wcr7qUXtuj8iwIoUED2/ft0+rRx7YWF9s0dlj6Xs/EhKCMjJysG+rgYDouNiQ0NKjhhMkghGJjw+a/GfbWGwIAaDQaipKTJFF9hAghP19ZcYnIJ53/zqnXXknmed5gEDGJriG25EVRZDLZvv037VTw9qY9MSiMs/j5+QQGUEX/nSBSKUrpEmxRnwHg4LHCrm1b1CRxpXXIs0QisVh5WMi8qbWjPs+a1qLhnIYYz2I2m0+fKbVTYdqU1rXkVt+QYVn2xVeOFBa6qT4vnN8+MjIEAN5+Z6/R6IJ8v/aTPokJjjPfll3aGovu6NeqmOe9pXjBCgaDwWAwGAwG06DxcAYnTN0Qm3JvAdHG8tpWCCdCQNz4vrHYzNE0/ZDydOSi50Hi2EJB0Hteu6wD5HL59m3j1q29JyCAql768ksp3bsl+fv7deqU8vDIbr16tg0LC26YshdCCCHEsqxEQgqCYDKZqh9mk55sKdo2J1dtsVAwGAwc58ngULlcbjabFQqFw5oKhQIhRJJkeYXNA4kgwN/fx4PDwzjDl58/aHkxZHCYPIi7dP2O8JeVo5bJZDbaOYXBYLCcUBzHSaVSo/H27B3HcYtW/murlUyG+vdtX5P9YhoyZeX2LOM7tA9waVFF04Bl2VdeO+q2+pya4tOvXwcAuHmz4MChfOcbbtxwf0pKC/t1zGaz+tI3wf+pz4IABUGTvH0cR0xjMBgMBoPBYDCY+gVHQDdWQlIfLj1b4SvcQAi0goJGIk/RXlCYeeNqaLRr7qX1BUKo88wpHV6YeGnLL9dmLDYrNbZqBg5wKj1Rw6RVq4Tt2xI0Gu2VKzlHjuUqVYYO7YJ69mhR70bPzmA0Gg8cTDt2IoeSkQxDHj1WmJGpthQlxCseGhE/aGAbuZwCgI4dIgDOVe8hoYV3pfDnWUiS1Gg0giBYctPZWTXP83xBIR8fZ+/qN3JEDEHg+bm6xs/P5+Ol3S+nl63/QdQzvUa/SOWch3VAq1wuf+HtU3ZafflBP5LER0KTRae1py+/OrNdcwt/ZhjmtdeP5+bZvP/aJzKSXbXiIcvrdxYddrIVLSe/2TAkNDTIfjWTyWi+9pUfup3hVgDI9RsbEeY4YhqDwWAwGAwGg8HUO1iAbsT4pj5ZfvZTb8gXVZ8tRGp/NoEL9sr1DkmSbcYMTR79YMGN7CsfbSjd9EsVJdprSK/EwffW1/A8BcPQ7dq1aNfOQbRXg+LatZtPTvndlq579bryvaVn3lt65pGRMc9NvycyMlS02pmzxXJ5qiULnGfD83met3SoVqsZhkEIWfTo6jVJklSrjdfTy211RRDoqcndPDg2jPN06pg05/0tokU/7b456B6/mhw2VcREgiD+/rdcqRK3k0YIvvywb0hIgNu7wzR87M8zNTf3Z4qiPvjoXPZN9zX3tZ8MsXylGo3u/IUyZ5r06R08c0qwtOLYLaWU5+L9QxNEl/4YDAbZ9TUUuhOXnc0Oj24k8+sYDAaDwWAwGAwGC9CNGISQd9upqjMrOHTLVh0SzJlZGRHRsXU5sJqDEAqJjgr5+A3ho3kapSr/9L/lVzNlXlxEv+7eAf4N05iiaWMwGJ6Y9LszNbduy/x5R9a6tf3feD31ncVVg6AFAY4eK2ybyoGn8xBaS0UajQYhxDAMz/NVVtAjhEpLdakpAQsW2Yx7XbXiHoWioZunN1UIgmgVf5f5RiW79uc8PDjSgxGpJl66dqNInD4AIAQbl98XHIzV5yaOn5+3rSKWlbiX67KRIpFIftud88+ZYrd7GPdYCx8fL8vri5dEFzHcxehR0ZPvzfaXXAD9BQAAAaDinKFcnss9EBp51+ysVqPxurGKQHcs4NMl/eIT2rk9VAwGg8FgMBgMBlPH4JXFjRuEENv2OR3Y89KN1v5YZ+PxOAgh1ksR37d7h6fGthk91CcwAKvP9cK7S/Y5X9loFJ6YtCcwQDyJ36q1/9K05/P78TwvtcpDJQiCWq3W6/Ucx1kfMzRNf7zifFGR9uIlm9M2rZKiPT48jPMMuTfMVtGNXLWn9kKQ9EsL/rZVunpRd6w+N3O8FLLaEKAZhmFZlrPC47twA4qi/j5dtmnzNYc1R4+KEd3u709Ne6p35Vuz2d5KhbfmpR5do5w14G9/SWGVIhnSxah/uJl1J8eg2WzmslYTcEd9zkA945J7ORwqBoPBYDAYDAaDaTjgCOhGD0EQspQXDec+kCFxL0sJGG9eOx7aomsdDwzTlNi9N9fVJjNmHhfdbjbD9QxVWAipUqk4jvNgQGv19fKCIKhUKpZlAUCtvq1dzn+j02NP7LXVCUJgLWRj6p7e3ROWfn5FtOjTb6/NnhZf810YTLJX3j5pq3TiI1EJLaJqvhdMwycjM89W0Yfv9/Dg1UkulwOQH3x05uy5EuvtFEVsWHef5UrlqX25CsdxCxadupTmlGPGd1syq2+UkOiH7x61dktPTYkG+LNKNZmM+N/byff4/4Fgv/29+GqOAMQDgCAI/JUvaHRnJiAbdYxr29+ZoWIwGAwGg8FgMJiGA46AbgqQJImSXzIIclsVYkwHKsptxntiMA7xqF0zLFh4yhL3x/O8p0LaeZ63lchRrVYbDAaLrGwwGCZPO2CnH4UCq8/1jERic2ZUr6vpAUOSZEkZemXRaVsVfLwkj4/CDuDNgmvXbk6cIj4X9fTU1pVTVm4glUplMsbEywwGqUpF7Pglf/zEA+Mn7quiPgOAXm8eM27P088elMkoiqLc3qPbcBz3xKT9TqrPokgk6MetD8lkMuuNcjn18w8PtUn28fWV+frIYmO4r5bHHl1Z2Mf/D2dOYD+Uq9WoAeDWtT0c3PnSConWUW0fdHuoGAwGg8FgMBgMpr7AEdBNBJlMpk163nT5YwkYRStweZsFr6exfwXGPRDypAbN84JaYwIArVbrwSBoO+npjEajVCplWVYQBK3W3rL6115O8chgMG6j0xlEtytYyQfzOiqVNnOuOkQmkx07U7Z+S7qdOhs+HoSvk82BmzcLbPna+/pSvXoEa7Va0VL7UBRVVs7Pf+fvnFyN49oALCtRq03Jyd7rv7oydUqyXq+vUkEulxsMhtpIhyiTybJv6qZO31uTa7u/P7Xl21FyuYh0Hhjo9+nqhwGgKD87omwTQKZLPVfknjeHJIfy/1RuKUGxwamj3B8rBoPBYDAYDAaDqT+wAN10oGlGkzCDvLpUVDuhoSK/ONc3MLyuh4VpEkRFslk3PGa/CwAIwCJ6aLVaiqKqyy7uQRCELaVGEASdTufQfrpHj9YeGQnGbS5eseGKgECjcUrUE4Wm6c07buz7q8BOnUWz2nMczj/Z9DGZTGPG7bJVuvzDXlqty5c7juO278zcuStLqRKfBhZFrTYBwJGjxWs/uaf6VJxlpUiVTKo1hyRJEy95+bXjxcU16jmljc/KZcPsexaVXt0dYSUiOw/HZ6Lsq/DfH5pyIdi/7Xg3+sFgMBgMBoPBYDANAWzB0aRgWE6X+IqtUmnxwbocDKYpMWdWe4d1EAJaTjrZ4YZvLlviTC0uHB6JORUEwU6cIM/zBEFk3bAXPxsTzdbLKnjM3YgfDEqViaLcSV9JEATLci8vOmNffX72iRZdOya40T+m0fHImO9Es+SNezxh7Sf36PWuzXMghDiOGzt+77ffXXNJfbbmjfknrZVcS58A4HFvaIZhdv6SN/WZgzVUnxfO77zmk5F21GeDwWC6tDbULfUZALQ87Ytu5x4ogxDvdtPw0gQMBoPBYDAYDKbxgiOgmxoMw6riX2Kvf1S9yBfluvlkjGn2pKQkAhwWLRo1MmrLthsAIJEQAQF09k2n5JJDf+ZNfjLBYDAAgE6nk8vlNY/yMxgMdoKpBUGgKGrum+KfwsLna4fXcAwNlqL8/IILV5THzjOt4xQJ0bHJrRqsmuPjbdPO/sjfhe1aiTt9VwchxLIsQujjL9LOXnRggj/32Vb9+qS6MEpMo+XYsQuFhSJXm2enJXfs6MPzBluWFFKpVCKRkCQJAIIgGI1GkiQRQplZyiUf1Gh+d8SwyNBQhdFoBACCIBiGOfhnXp/erMfVZ5ZlJ009oNPxoqW0nNTaKLKGoohfd4yVy22epwBgMOi59GUIue/uUQrR4ZAGAIUQF9R2XIO9XmEwGAwGg8FgMBhnwAJ0E4RTeKlbzKSuLSfhLq/bEoj2qq8xYRo5CKFFCzrNffNU9SKL+gwARqPZSfW5OlKptOYCtNFoVCgUAGDH0EPqRz/3WPSyZZeqF818oQ3DuBNg25ARBCHtj8OXHny+iof3GYCApx/pvuQ16d2pwxoC0RH+topSknw5TmqtyllkKYpift5zs3Nb/3OXbrVq4RUVzv57ufx6lvKXP847s8eFL7fp3jW55iPHNHw0Gu3MWceqbydJ1LNniK3EgwzDnP6nZPnK4ywrKSs3Pv9sy9hor8VLzgre5LgAACAASURBVM14NmnRkn/1eseirX1+2p795Wf3mkxajuM++PBsRYXh7bc61bDPKiCE5HJm4lMHbI126uSWj47q0H/Qt3Y6USikH33Qs3WrePv7MplMXPoyBCLq8zW+czx5SrSoCgzrBVooQK1C2j7qsDIGg8FgMBgMBoNp4GABumnCcgpt4kvllzdKkVEqaAGECjKaix9S3+PCNGL69kmNiUnLzPRYRJ5MJrNEQHsQg8Fw+kypt688MowlkJHn70gtUqn0y++uA8DaTVn9BkVcPleSk3tXkrF+97b07GDqHZPJ9OfkObe+3y1aWrxm645Pt3U6/FVU+4aVd5GmbUZWzlp8OjaKmzO9jUqlomn63KXyfy/f0ujNx04XA8Cu/Tlu7G7xrLZdOyW5P9ymiNlsLikp270nTa02UhSRmhLeunUERTW4uQo3eHX2b6LbeV54f+nZ559taX3RIElSKqXOXyhdueqURmMCgLJyIwBs/DaztFQPAG8uOFvzIfn6ylav6GM0GimKHTt+b2CAfMXHvSsqDFJpTXXtShBCKhWa8vQ+0dKQEPkny/qHhgYDACUj9AYRI6PoaHbua13atIlzuC+T0UhfF1efAYBm2BtocLTuF4f9xGu35JNtQ1NGOKyJwWAwGAwGg8FgGj5YgG6y0AwjafOk/t9VpZJEOqy7N8vV94gwjRuE0Lq1w0eO+r68ouFauej1+napPgQhPflPwT8XK6aNS7xw5Za/rzwilF3z9eXj/xRbqh35u5QkiPHj4r7+Jr2yLcs66+3QKDCbzXt6jNGev2q/0qke48wH18d0cezxXWeQJBkbyWRki/jwGk3ClXTllNeODe4bduBYgUptql7HJRbPat+1U2INO2lKFBQUf/r5qd17c3neWkC8ghAsfa9nt66NW6kvLi7950yprdKz50soSs7zJosxPUVR6768tFdsVsOiPjtJWCidm6e1VYoQSCVEQYEmOJgZM27P11/2k0rJS2m3goNphGp6eFsgSTK/wPT6G8fFitDHH/TuaGV9/v23w5e8f/jYiWKzWWBZSVysYtjQuD69EznOqcuj2WyWXFtDIHHpXACkIUOR4NQdJIfsEpEy2JmaGAwGg8FgMBgMpuGDBeimjFQqJds+z59bq8j+pAyiTKGDvbx96ntQmEYMTcu3fvfIgyO+0+tt5vpznlry9DQajQDGLh0Cr6SVnfgn97Nvs0Sr8WZhy+/53fuEpqfdKijQ3dsnpGkEeFby53PzHajP/3G678Tg4iM004D0986pvqICtAWeF3bucyfY2RqEYNWinoktImrYT5OB5/lXZu08frJYtFQQYOarf/24JTA42KZBSsNn6UdH7JSazcLjE/ZJJURIKBMUSP19uqQm+0pu7T1mVMuuXeM5jpk1e8fhI4Wi1QQBCot0q9aev3K14psN/c6cLTl7tuSxsQkgGAEkJlNNNWiGYb797vrOX0Qugy3iFZ+vHSG724QnMNDvg/eGCYIgCAJBuJynuvza7yHI5pl7jR5lMplIUsIDSYK9+O4M4p64lHtd3TsGg8FgMBgMBoNpsGABuolDEIRX26eLzm4MhOuQt7YkL5pJfNSNp0oMxgLLMjt+fHTQg5vNNZagBStXYpVKZSd/oBvodDofH3rF8kuBgdTAIVFbfxHXK/+5WE4SxKsvJ3fv2sJTu24IKJXKki9/dra2IBweNWPArs9rc0SuMaBP3Pe7aiox2yEkkFq3dLBcTtXeLhoXRUWlY8Zt12odeD6MHb99/+6JdTMkj2M2mw/+WeCwmtFkzs5WZWe76TW07MOeqSlxUqmk8j5rMpn+OiquPldiMAhrVvYhCSK5lV/H9oE6HU/TtFKpdG8MFizJDJ+c8oeo6fPAAWFvzB1o688AQsiNCcKyWyXB5nO2SnmQGU1mo9HIyKWEXfU5UzYwtlVXV/eOwWAwGAwGg8FgGjJYiGz6IISC2o3Lg2QA8Ics+sr7GdcuCIL7uekxzRyOYw/tnxjg70nxThAEqVTqwQ4BYMSwGISgqEj/zYar7eOYyFDxBIO8GVZ8lREU5OfZvdcvf7+wyKX6yv0n9TVOAulBYqNDZdJaCZAHgAUvtdr4yQisPldy4uSl4Q//6FB9BgCdzgNLH+oLjcamD4ZHCAtjDh+Y2LlTEkXJrIXdS5eyHd5vF77dxctLajCYd/2aNXb83ilPH6jhbBxJklk3DGPH7xVVn9+c2/6tNwZ7fCqay99q56TNp3oAAEvLZOYyW9UEgBvcw7Gtu9XS+hgMBoPBYDAYDAZTX2ABurkQ1u6RPLKD5XWSaaeQtlqlLK/fIWEaLwRBbP9x3Odr7vX1cd+24uCh3MrXJEl6fFJEpVJ9s75f//vCAeDo8eKr50omPhTh6y0ic8dHs01sWUDZjoOuNrnwk3hytnoBIfTe65083m1MBPPdqv49u6d6vOfGy+XLN1582Z4xBcYhcjm5anmvrZvHil5GVq39x2EPs14/Onb83gmT92/dlg4A4x5LNBrdt9qXSCRnzlYsWHSqepFMRmz6auCggR3c7twWOq2GRWW2SgUADRkqlUpZ0w0zEp9rFADy/MZFt2jj8bFhMBgMBoPBYDCYeqdJaS4Y+4SlDM2R9rS8ppHSP2dNcdpvOBQa4zatW8ft/Hncio/viYy0aR/sLSb4WiAld2LcSJJUq9UeHh+ARqMZ/1jLyrerP72Sd618/MjIKtUWvNrN47uuX8xal8OZb85eXhsjcZuU5LhHhoR7qrdenf2//aT/ug+HBgQ0Ygtjj1NccmviU3vqexR1hETiec8xhGD6tNZ7f3uiXbuWohV4nj977pbDfnJy7vgmt0z0GXBfmNu3ZplMdvDPouWfnK9e1LVLwN7fnoiJqRXfc73O3gU8m7ofAAwGg0oaF67bX72CAKgwaHJ4VHxtjA2DwWAwGAwGg8HUO9gDunkRkdw/K80rSver5W04nFVdvolaPFkbT+aY5gBCqGOHhO82Jmi1OpVKXVKi4TiZr69CIiGNRhNFyS5fzp06fa9o257dQwwGgyXQz2AwKBSKGnqeimIwVl2B/tnay2PHxP6477Yb7GvPtAoNDfL4fusZsw31CiG/CUNL12+vXmIqqFHKtdrgmSd7hQX9s3z9Fbd7aNWCu69n2KB+rWha7sGBNQ1MJtOwh7a51IRhyFoaTB0gl1P39gn542C+R3pDCJ5+KumRhzvaP7TMLprlKxTSN+d20Ghs5vGzD0VRW37I2rErs3rRww/FzHyxX+1ZW1AFv9gqMiG5nvQHAJlMFqbdK0NV3UVMINHFPxei8K6lsWEwGAwGg8FgMJh6B8uOzY7opC5F+WEB+essbzko4a9+XBT8pK9fQP0ODNOooWk5TcsDA++El1IUBQAREb62mhiMgvUy81oKxr96VcRq5tvNGT27B17I1k57PG5g/3a1sd/6BVFSQWcQKSAJUfXZwq/dH+3166cKH59aHJmLDB/S/v57W23bdeaL77Ns1aHlxLgRUb26xnGcvLCoIuNGCcvIEuKC/P288NSaHZZ+9IerTRYv6FIbI6kz3pjb/8Chb2pypQkLpUcMi7p/QOuAAB9nfHskEknrVt4XLzlreBUWymq17nhVI4Roml656t+jx0USHj4/vfWY0bVorFx2qyQYbCr7GfIRSqVSIpF4EbdYoUgFfiXyrkgwR+l/B4ByIZhLmaLApyoGg8FgMBgMBtOkwf/4myOBIRFar1cklz+WIBMAkIgPLlyXrnokAq9+xXgab2+Fr4/sVpmIGDpxyv5NX/VXqVSWtyqViuO4yrcegSCIj5afEy3662jRM1NbDn+gswd313CQhgUa0nNECkz2Es1pz1zeE9a3e9qO0KiqLiX1CE3LH3+k29iRXY6fujjvgwvWRf26B7z0dA+GvpNe0sdbkdjCY8YdTRitVvvzjhuiRZOejP9i/XXRok6dkmpzULWOXE6tWdl32rMH7Fd7YEjEs8909/ZSCIJgNgsIAfoPV/eIEFrzyYj+g742GJwKhX75xVSETNVn40iSpGm6yuWR4zgAyMpSXr1WfuZcyd+ni0T7/Oj9rl271qKxcv7l/dHCSdEiM0iu048oVSoAMJlMBi70KozWG4wyJIvS7waAHCE5vN3DOOUgBoPBYDAYDAbT5MECdDOFZlhz2znKc2sVUAgACCBeszUrc3BIDE7PhfEkCKHnpqe+s1gkHZYgwKo15ydOaMHzt1VRjUYjl8t1Opf9i23tWi5njEabug9JNlnVo+Xm9893ecydloJwtOWDfdJ/9w8N8fSgagRBEN27tNn3PU5Q5hnmv7PPVpEt9XnJ4u5NIFdnSkr8/t3hh/9K+213dlpamVbH63Q8AHCcND6We+bplDbJLSr1UIRQzT+xRCJxUn0GgKnTD33xaV+WlZjNfGUoNMMwJEkCAEEQFk8PjuNOnCz8aPkx+72RJNq4YWBUVK1MyZiMxsLrR2LhWLSNCsXSlCKUpLUSzVUqFUEQCkYWr90sAGTJ7o9p3b02xobBYDAYDAaDwWAaGliAbr4QBOHV7pncs9tChdvZiqJ1v964IQ2OalW/A8M0MQYParti1bkysSDoP/8qmDKpNc/f1lnMZrNUKnVDgCZJslLFJghCKpUKAvnTjowff8qw08qOPUhjJyEl+TxC4K7XwKGkB4ffOtEE1EaMKGVl5X8eLhAt8vGWlpUbq28PCpT36tlEbg1yubz/fe3633fHe0cQhNoLwhUEgWUlarXJyfqTph4AgNAQ5r13u0gkkoN/5q359NjQB6IfH5vIMAwAHDiUu/YzB9IzAERFsuvXjZDLPe9+rtWolVmHItG5WBsVTEBl0sPVWn3ltR0AEEIcy/ia0gK0ZwWAHL8nYqJsdYDBYBoEgiBU/rlqdJjN5kY0eMvCl8Y1ZlEqMx80gc9i+VEa+6ewprF/FsvR5Wp2jYaGIAiVC93MZnMtWVDWDZbfoiHfKVz9ehvyZ4HGf/BbwAJ0cyes7cgb1xIiVbdTUUVptmfdpEIi4up3VJgmxudr7n9kzE7RoqnTD335WV+1Wm15azI5K9NYY9Fl/jlTnHVDmZ5Rce5ciU7v+OaR0qYpezV0+vu7Ux0eda+tYDD+u3136ohBnh0SpoHw7pJDtopE1WcA+HhpLeavq3dq9aMhhCaMa7lq7QXHVa3Iy9dMnHLQxN/+37xjV9boUfF79uVs+PqyM81fn93hgcHtPP659DqdNvO3YLjsY6PjQmmncmkLo9GkU93Oo4gQoiiKJElOKAzX7gAAkyDRxD4T6ePn2bFhMBjPwvO8wWC4detWfQ/kDoLgwrN3eXmFuSEN3hm0Wq17aQAaIJ611KtHGtQpUBMMBoPBIJYeprFRXu5sXo2GT1lZWX0PwQPodDpPLV/2OK4OTK1WV4oSDRDLx2nsMjQWoDEQ1SKlpNDPN3cdAgEAolVbMnLGhIXbWlaLwbhMWFjwnFmp774nYses1/M/bc+8v3+QZYrSstLcVTQaDSmhlnzwj0utaNrzsYENh8ikxJx5U/MWfupe82vj5qSqsADdBNFqdX/+JZKnzg5TJyfFxITW0niaA2PHdDn1d8GJU8XON0lN8T93vsR6yxvzTwzo7/hX6Nkj6M25/RQK1uVR2kUQhKL0YxHGP73AZixJrqxngc5P0N0RHSiK8iPyQgxHdSYfWrgFAEoIkCc/5S2TeXZ4GAzG45AkKZPJ/Pwa0FwRQi4szPL29vJpSIO3j9lsLisrYximNpat1CWVGrpCoZBKpfU9nBqhUql4nvf29q7vgdSU0tJSAJDJZJbUEY0XnufLy8u9vb3de1psIAiCoFQqLRFXvr6+jTq8w2w2V1RUUBRFW+XjaVC4ekVlWZaiqFoaTM2xXF0b+xplLEBjAAD8g8J1ilchbSWFNAAQo9x8I/fxkLCI+h4Xpunw4AOdRAVoAEhLKxt0f4hlwYt7t2Ge52na5WsxRTVlEQQh1O316Se9mJuzPnanPW82mUwSCb5HNDUyMl1Tn7t2DpjwRI9aGkwzgSSJjz8cbjAY+/b/ypn6C97qHBHOWrw4KtHqTB3ahc6drVj0v9OirUJD6c9WD/Hz86nxeKuSc+N6lObnSBCPjq/E23StjOpdGWzCMIy/+Wqg4R8AsKjPBUJCUNsxjf1/MwbTfEAINd4TliCIRjf4Rv2FW7g7iUKj/yxN4FNY09g/iyVWqTGe2tZYm0I0mQOswX4KV4WFBv6LNOSxOU9T+AwYjyCnaXn7V8uEUABAANEVG3OyMzKuXrh66WxO5hWlsqJRWxRh6h2EUFQUI1rEWxlg6fV6t6e1fXxcEJQfGBzRqOecnQEh1OX5iffe2Edw4t88AEgjgm0VZac5tdgf07hISxN3fxZFoZB+tHR4kz9T6gaed8pfiCCgrExfRX0GgOFDI318KFvq87PPJP3w3WMeV581ajVKWxan2SpxpD4DgIHwscwjymQyL06epP8+0Hh7VYogQLp0QEj7x5rGX2cMBoPBYDAYDAbjKji6DXMXvu2n3vh3X6TpMADEqb8HAEAAOoAcAACdwOagtt6hyazCBz9GYlxl5ox2L75ypPr2CxdvMQxjcYszGAwMw2g0Gmc6RAhVKtc6ne61l9vOeeOkcw1h+tNdnR5448Y3MGBE0dFtdFvRUuNNm3KkydhwkzBg3IZhnZ2n6dY18MP3h9XqYJoVTq5PJEmiS+fg0FAmL+/2ZZAgIDyc7dUjctkK8UUkC9/u3O/eVI8NFEAQBL1Oq8r6Ixz+FSkFUJPhedQ9pFkTpj9ICWVmkGXQQzU6HkDw5qgY7XZSe0ew5gWyKGhCfHikB0eIwWAwGAwGg8FgGhdYgMZUJarNfTlZ0SG3NhHVrB7lSB0PRyDviJAHhdBSCOjq4x+Cg+MwTtK+fQKAiAANADm5am+v26+dPKJIkiyvEIICGZ43mUym/7N33wFSVVcDwO99derOzvZO7x0jCChFMYoNFQsK9paoXzTGaCwxGo0tGktiEiVWNFYUWxRBVFRAQEVFylK39zrt1Xu/P66O6+7M7Jtts7N7fn/tvnffm7uzU8897xye56trrfYZePShuV5vz1+o3p+JeZl6ZV1chzhS3L00GZBAM34xBKFtscfIMnff3bMP/8XovpnS4HH8L/Pe/6AyxgCbjX96xYJgMHjPXTP//fjOmTOyZhyehRDVdXreResjHvL0imPGjBnaUzMMBQP+6u2Z6pceHIpY9tJE0n776aqqypRSzJfZF9nMej9N1UKawy7nq584Qj9b02qmOe5Jl+RCMR8AAAAAAAAGN/hKACLIHzIylHm9UfyUCzVEHIARykZ7UP0eo06sk3/hyJuR7E0zQB8QRWHi+NQdOyM0/P3j7VuefHx+IBDgeV5VVZvN1mnXWtM0c7Jd55y3ThTxqJGpZeV+n6/zi8RT3OJzT5+QlZXRxb8haQ177q7ihVfEdUj2EMhYHIC8Xs8RMzI3b4m6GnHR+aMuvGC2KMLHg553040Lt2x7ubFRjTbg6RUL2LUgphm67JIRlNJgMCAI9osu+yji+FUvn5ybm9X9iRmG0Vy10+PfnIqbUhFCkRYBKUK10uGNaGjI77fb7ZRShDFCyEc8osDl89+khA61O6TCdnT+mCNhlRoAAAAAAAAA3zBBZHaHg0y+snzHewUkVq6cgPVcbRM9tKkV5SjZJ6Z6B11cD8TlnKVjb7ltc8ftoZBZXhEoLHARQnieN02zbXmNaPx+/3XXTv7bw9/u3NXU6U0PKXLe+5d5Q4bkdnHqSW7C7JnF8YzHdhk6EA5IGOP77z3xsX99/PKrh9puLyxwXHDemHlzxzqdUSuGg24SRXHUCPcXUQLQCxcUBAKB8K+EEIQQxraI0WeOQ2+uWpKe3t0rOUKhkFa2LpPsciIaMe6MEKIIl9hOCBGHoiiUhtjcUlF5rraphR/uNCsFvf16IUFcc94lBVl53ZweAAAAAAAAYGCA+AKIiuO4wsknluwfVuR7NfZIjJAHVXtqngzVuJvSz0jP7IGELDAg8XzU0uErntx10w0TKyq1YNAYP87jcrl8Pl+nJzz8sKy/3nNEWprt2+8aHvnHdzFGrnzmjMEcUcUYT9/4/Fezl1scP/2jZ3pzOiCRBIG/5v+OufpKMxAINTS0eL1ut9vJcRxkqva2YDD0xdb6iLvSvPIlF49l6c+Mw+FAiFt2wbqOg+12/p3VS+32bl141NRY56pd7UGNsf/rjeLEemGi3+9HKIQQkiRJlqThyire0BFCHvNAx0MCKNU+6er0rraTBQAAAAAAAAw8gzccAywaMmK8rt9Mv/+biDovsGtHPnvD0631GWjYMhmKcoAOJk/Kj7Zr774Wu90+aqTj2ZU7J09K7zT9mfH7/dnZsiSJh01Pc7lEvz9yFY4UtziYo8/M0GmTGh67ueSquzsd6T3z2CFTxvfBlAY20ySEmAghjDlB6HfBOJ7nU1JcKSmuRE9ksKCUnnDKSxF3cRz+59/nto0+u93uiy5dH1IiNALNzbG/8uLZfFfDu5TSmooDeb63crAWe6SB7QdtiwPBIFH8CCFRFO2yMCy0um2DwY728QtHTZrTtbkBAAAAAAAABqrBHpEBVoiiSKfcULVzTa7+hZXxKbgeHXqkEk1MGXGsKEq9PT2QRNxuJ8YoWmz5f++XLpiX+cuFQ1TV5LgfanF0ek5WrIMQzibz0QLQ06eld2faA8ZhF5/tyM7Ydfb1yCTRxriPmTnvmfv7clYDTCAQ3LL14KrVe7/66qca+t5U6Y+3zJg5YzRkGQ9aN9z4tqZFft49vWIBu+BDkiRZln0+7arfbIgYfT737OFXX7WgaxMghNSX7SgIvT8kerUNhBBFuEkY3yBNNk0z6P8h9OyQuQJ1nRxqiXF+A4lNOReOyoGyGwAAAAAAAID2IAANLMEY5004vrZ6orf6WQEZVg7JQzvI/p2V7sWZ+aN7e3ogWfA8f8pJRW++XRpx7xurD5xwfJEsk/0HfLk5vCiKoih22o1QUZTmZvz7mzbFGHP8ccO7PumBZdyJxxRWfLLtunsa//u/druwTR73/D1jTzwmIRPrDzRNq69vPnioqbY2MHRoalFhWlqax3rIuLXV9+g/Nv7v/fKOu5qatet+/5kkbZw/N+eSi6YXFGRBJHpQeeXVLz7fHLnxoyzzsswbBudwOErL/FXVzQ8/+m3HYaLIrXz6uKKiroR3CSGNZd/mBNcV4lhLejpyVNjmh4hT0zRT9SGEnE5nCinL1L4SQp28DjejXOe4C7JkuQvTAwCAHlf78RfN23daHJw1f6YjP6dX5wMAAAAACECDOGTlFOjpN9R+/3IW2t92e6U028CuIvWDduM5RAp8bzTvyhFGniuKYh/OFPRfF10wLVoAesnpI/50x5ZZs3Jra3znLR8XCAQkyVIG/YGDrbEHrF13cO5R4+Ke6wDl8qTMf/Ie9Z+3N5dXVn38hdLQ7BlelDt/pic9bXBGRSmlu/eUPPC3bbt2t0/wzEiX77t7zrhxwzo9w2urtj70aKwq5AghTSMfrKv8YF3lLxfm3X7bom5NGiSPffvLHv77jmh7j56f+9Y7h2SZ+37nvi1bayOOmXdU9h1/Ok6S4n4bpZTWlnyTF/owHxvRsp5NJFbLc4J8rqqqWkBDKIQxttvtGOM0c0+mvr3TWykV5w6Z0MW8bAAA6A17Hn46eCjCenBEc996AgLQAAAAQG+DADSIjyiK2VOXl+z9uijwVnhjjvZFqzB8n31JnvKJg7bvsJSKq8m+h8o85+TkFfbtZEF/lJmZnp4mNTRGKD/67Mo9CKE/3DBJEHJYJDQQCNjt9lAoFPucR87J/veK72NUjd65q7lbkx6IZFnOHjEse0QnodUBz+/3Lzt/dV29GnFvfYN6yRXrz1oy9NprYiWGn3veyyWlAes3+sG6yrFjNi09e1Z8cwVJSFHUiy9bG2PAe2s6CZE89NfZM2aM7cLiUMX+r4dq64owiRh6pogrsS3SsFtRFCNoIORDCDkcDo7j0ozv3XoJRkiikdf2fCjdjRoQQiq1maOuHOJyxzs3AAAAAAAAwKDCJXoCICkNGTVNG3ejihzsVw6ZqcbekaFVIZwWsbQkh+mQ1v+WF2/u22mC/ghjfMWlE2MMaG2lkiQZhuF2u202G0LI7XbH7rilquqkiWkxBljraAgGnX37Dv3yhJejRZ/DXll1aM+eAxF3UUoXnbwyrugz8+hjOy122gRJ7eZb1xhGF//Rw4Y6P1q7fObMcfFGnysrSsXd9w/XP+BwhKrTJhL3Os7ZKZzWGMB+v98wDISQ3W7PsTeNVV8ZHXopQ/9Opq0Ro89fmSd9Rxex6PN+NMc27UYnRJ8BAAAAAAAAnYEANOgiWbbZpv6+VDqmbQglnRRjFPWb9gjySWD3C+y7LhjMTjppmtMZ+fKLokJXXb1CKWU1WziOY30IBSHW5RqSJNlssQYcMTOzG/MFA9Nbb207/+IPLQ6++bYI62emaZ5y+gstLRHS+a0oKans2oEgWRw8WLV5S+TSz7Glp8uvvnjSC88tleOsqhwM+LRdK4b5XuQ6vBdThOvEqcX2pd/jE30+n6r+sO7CcVyKyzFKfytP+7zT80/n35mE39OQvang1yOnLoxrbgAAAAAAAIBBC0pwgG4ZMv5In28y2v+cCzVYGZ+Gys29DzfmXZziiZWvCga8R/82+5IrNnTcXlrm/8u9X115xdi5RxUSQjiO0zRN0zSn0xkOl7QjSY5//Ovbrdva135p69KLZ/TMvMFA8cHab+594Bvr46uqQoqisJT8sNvvXNPQ0En2dAyERMhOtcLnC5SU1H/1dUVllX9PcfOokZ5ZRxTMnjUy3mAl6FWU0v+7dl28R7nd4t13zjps+qgu3FzN3g1DyOaOlyFRhGukmT5hWCAQIIo/vB1j7HQ6U409WaGvrd9QFTc1b/JieKgBAAAAjPjNxAAAIABJREFUAAAArIMANOgutzuFTrmqYv9X+f53rIznsZlZtaLKuDgtHZJSB68RI4bE2KvpBkKIRZ9jnwdj/OzKPZu/iBV9Rgjt2FExd64n3kmCgerr7Xtvv3NbvEf5/cG2AeiSkuoP11d1Zxo2e3xBPErpnuLSO+7c1K7ix55i3zv/K0do8xmnD736yrldaFUHesOhQ1WNTXFkx0+Z5P3DjbOKCnO6UO7Z19riqPjvENy+aAZFqEac4RNHhEIhI+Rru8vhcHjpwazQVus3plHZl39+XlZevNMDAIABo/TpF6pXvWlxsKMwn9RUdDqMImQYRsqkCaP+cmf3ZgcAAAD0XxCABj0AY1ww8rBQcJxS/EIqsnRReU7dU/XC5Skeb2/PDfRPkiSleaVo0ZlPNtQdPX+IaZqSJLHE50Ag4HK5/H5/x8F2e6zy0My/V3w7d+74bs4ZDAyEkKt+EyH7vlPtArvX/X59tJHTpnq/3t4U+2wch3Jz4liEO3Cg9IabPq+sCsYY89rrhz76uOrVl8602SA/NfGK91otsbL83OHLzz08JcXVtRuq3r+1SF8fMWq9z3EOQigQCITT7Xmet9lsqeRguvadQDvp79pWBZ6SO+nkjJjl+AEAYMBTKipbvrJ6BRVVVWP/bouDJYe9q5MCAAAAkgDUgAY9xu5wpE659KD9VCvtljBCnsrnoAfXYPaPR4+OtqupSaWUKoqiaZokSWwjpbRjYiCl9NylI6dMTo99W4dKAq2tEYLXYBB67F8fd+Eonsdu90/xwVBIqaqOGrz7bkczQuil54/92/2HRRszf57VRFdCyK+ven35hWtjR5+Zhkb1pFNfVNUulqUGPSglxdbZAPGhv8769KMLr/zVgq5FnymlrbtfG6Kvj/hIoggNC70RCoUcDgfHcTabzeVyjcUfj1Fezta2WI8+E4rrcy4pmHJq7GawAAAAAAAAABANZECDnoQxHj5mCqWTW7b/y4M76bwkYaWs6mBW3vC+mRvob4YOyZ81M2NTlOoZPM/zvF2ShEDgh2oDgUDA6XSGfw0LBoO//c14hISrrvlUVU3DiLyqsfqt7ecvP7IH5w+SEaX0xZcPRtw1bmzq2WeOjFaa48jZ2W3jxVu/3BfjVtiDcOnytTHG/OnWX3Y+XYQaG1tOP+t1TYujWnQwaD751OdX/nqB9UNAbzhi5oTjji37YF1l25VWQcAZ6bbf/27SjMPHdzOea+i6ff8jmciMuJcifMh2oo5d1N84OrSaYIHTDaTHdxMUoUPcnOGTF0LBLAAAAAAAAEB3QAAa9DyMceq0K0v378xrfZ3Hkb8bM5zZeUIfGMD+cufxxxz3fMc8+PoGhQXvZJl79sljfL4fSpdyXOSLNnRdR0j/x8NHiKL42usHV791qOOYfz+x57TF09xuZw/OHySdkpKopRh37W6OURj6hut/tnpRX9ethPqHHpglip1UaqaUbtu295rffdqF8//35YO//tX8LpQSBj0IY/ynPy667VZ68GA5RUgQhOwsb7s+ll1DCKk59PUQbV20f3AtGtli/4XNrB2qvYt5ihDikBHvrQSQlw6/YHgKVM8HAAAAAAAAdBcEoEFvKRoxXtdG1u16LZPu7bi3CeUHbGMyCyf2/cRA/2GzyXfcNuO2O7ZEG/CbqyYhhGRZxhgrihK7ZothGIZhnH3myIgBaITQlb9599F757vSvJ3G/sBAVV3TvkubFcuWDvd6fxaG47iux3bPXz5yxuHjOh22Zcvu3/5+Y9dughCobtRfYIyHDy/swRM21Ven1r82FLW/FqStVFqWFYqVpB9DLRmagUurPafkD5/StTMAAMAAxsuSnJVhcbDgsHOZlgYTQnhXFzsBAADAIPHNztr6JqspjK1+tVcnA7oAAtCgF4mSlDXl3JrKkoza5zj0s0vIBaS5syH6DNAxR098+tmdBw9FziedOiUDIcTKQLMYtMPhCAZjvevouj51Svr2bxo67rpsTP3G8ccihLgUF+d0YLssjxmWfcYJqdMmpOflQlR6MGhqjPuDiCRxv/7VvHYbRbGLAeirfj3+3KVHdJqbfPBQeZejzwihI2ZkQPrzwEMp9e1ZlYP2R9xbTUbkcD/sknDXP3DrnNscf2P+j8X3AQAAtEU1zWiIXD6uI5KTYTZG+EQa+cwdqswBAABo64XV32/6Kur1rO2MyXb36mRAF0ATQtDrsvOG4Mm3HECz2250o7qUQ3+vLC1O1KxAP4ExfuRvx0bb+6c/b2U/UEpVVTUMo9OwGkV8xOjznJnpvgceZz+TVr9RVasfKPO/t2H/JX/4cvrJH+T84oMpxxVvipqLDQaGYcPi/iDy9htndaz98ovDRnTh1m/5w7Rl58zq9DFcWVm7/Pw10fampHS+cnzWGWPjnhzo3xob6oTdD2VGiT4jhMLR52haaWYxnRNjgIbk1iFXF0w9XYLoMwAAAAAAAKBHQQAa9AWO40ZMPVYf/4cWlB3eiDEdFnzDv/tFQuLorwUGnoyMtGXnRg7n7dvfyh4e4ZidqqqCEDUA53K5Lrh4fcRdi3avRjHLEujl1XtPuuzdjKk71n9iceYg6YwZE1/g+L23z4pYNzwrK62oMI564hyH3ll9+oknTO90pN8fOPOct6M9VG/8/dTHH5s/eVJqjDNIEjdz5mjrcwP9HKW0fM+mnLqnBBxnD0GEEEKE4l3coj3CKW5UNxp/Hm3YPuE4acqNHm96N2YKAAAAAAAAAJFBABr0HUmSU6f+qsx7noF+yq5KR6X24r+W7N4MYejB7KpfzZekyC9H557/ISHUNE2n0+l0Ou12u2nG6mwZ0ZITskMbv7Y0lNKSM3/zbvqUkm+/j11yGiQjjPFdd0yzMvKoI7M3rL/A44mcMY0xfv7ZMwryHZ2eJzNDXvGveZ99fElamrfTwZqmnXrGq9Eed4UFzskT0zDGN994+PXXRq3P+/wzi6D+xsBgmmb5no22PfePoBvi+o9ShFTk2Cce1zrs2nL3aWPImjHGW9EeFK0oVx9/06iJnVeGAQAAAAAAAICugRrQoK8VDRmOhtxUvmtDnvpR+MvuaPQJ2fNplefU9NyR8B14cHr1xcWLl7wRcde556976fljEUIcx1FKMcYRQ8OiKAYCgcsuHrviqd3tds2o3hpv77kdC86tuPiMI+67pWP5BZDUFsyfdt4y38oXorZoc7vFFf9aWFSUF/s8giC88uI5hw6V/+vx7c3NmqKaoZChKKaqmU6nkJvtuOLyyWPHFFqvZmCa5gUXvx4MRl1f+eu9sysr/Xl5rn+v+P7jTyojjrn8krEFBTkWbxH0W4ZhNBzcXGR+3oVSLxRh//BrJUlKbW2RDzxehEMRzk9FP/I6UUtt2lkFQ4Z3f8IAAAAAAAAAEAMEoEFiFIybGwweFix+NR2VsC0cJvmtr/tb0rXCpU5oAz34ZGamPfn40ZdcEbmAxiVXfPzk4/PZzw6Hw++P0LRQkiSbzeb1tm9RyPPY9+p7XZhS01Ovrfto8/yNb8RbEVXTtNbWgCjyDocdehv2NxjjX18x77TFE/757y3rP64KX3rhcPDzjsq58PypBQXZ1pfBhg4tuO+egh6Z2JNPf1ZSGrkBkShg3aBLl6/FGEXMj8YYnXF6UUlpYPXbh848Y7rTae+RKYG+RwhpPPRFrvZpUeyaQdFpyC4IQn3xunzyJYryQOaxHpJGecYeXQALbACAgUj2OGlOmsXBmIPcFxCL/ub9pHynxcHC/Av5CfN7czrWBBvIp39BCKWyT7oYkxgfbnmJW3hvX80sFlr9AWrdE3EXRshLCNfI/fTxyDsdZ8ZqbjHYfF3evL641uLgnBTbsl8U9ep8AOgIAtAgYRwOp2PqhfXVZSnVz4tIYxtduIGWP3bQdmL+0ImJnR7oe+PGDfv15WP/9UT7/GWEUCCgb/+mbsrkDJb+7Ha7/X6/JEmqqrYZE9B18f4Hv2l3rNslUEVFXaIfLF8//piFu9YLFuLImqY98LeP139c2TaJ1W7n5x6Zc+nF0/Lzs2McC/pYTk7Gn28/4Q5KTdM0DFMQ+Bi1xfuAruvPPBc1KVs3fviw3TH6POMX6Xl5jvc/qHh1VSnbcsElb7zy36WQuZ+MaqpKc5rfyMdKx10N4kQ/8QwxoxZxDitGC8YU/z0fRTgJU4XGp405Kc8OqxQAgAFL9wW0+karo6HkGoiJKj4UbLY62ujil44eRk2ktiKLFVf5ftN8mKjIjJyNgRHCCCHz54NBG7pJAprVSpUhPe6algB0HwSgQYJl5BTS7D/s37VthPY/tgUjNFx5N7j7MzTqMp7nEzs90MeWL5u9c1fTJ5/WdNx171+3P/bInLQ0u2magiAIgmAYhs1mU5Sf4ixer9zxwOYW3b3kON+qNT/bymFELH3fMJtaPzrqjGM3vxl7WGVl9VnnvtuxknkoZK5ZW7FmbYXNxosip2mmYVDTpKKA7Q7hxOMLjz126JjRQ6HyTEJgjNljKdETQate3xrvIX+8edI/Hy/esq0BoYa22ysrQ60+f6onpedmB3qdrut0/3NFqD5iznKx7WyvWVxkIfpMKZqE3422109T+dGX5jnj6J8JAAAAAAAAAN2X+G/dAGCMR44/nNJf7P/u4+HmBhaIc6AWuveBmsyLvOlZiZ4g6DsY47vvOvGkxc83NWsd9151zednnD78jNNHUEoJIYSQdksUfr//qScWXHz5R+0O3D5m/gj08wA0oek3XJa79GRKqdnqFzxuray65Lq71P2lHW9X23to4833zL77pmjTDoWUM5ZGDfowimIqyk9LzbpB9Vb9xVcOvPjKAYTQnFmZN/9hXmpqSnJFoiml1TX1L730zWtvlLD8IYzR4Yeln3Jy0VFHToLyI9Y9+tguK8NsNu7630548+2y73Y033n3d9GGbdiw95STD+u52YGeYZrm3n3l5eUNr68+tP2bpvD2s5YU3XjcVzEOHK28bPEmor1+GEioyzgvrwCutQQAAAAAAAAkAASgQX+BMR45eYGmzWnZvSqdFLOrbHLqnq40z03PKkz07EDfwRi/9MJpJ5zyimlGyFB+8+1D8+flpafZHA6Hoigcx7nd7mAwaJo/xHZlGT/zn6Mvv/JjTfspG/mlN6v+csXy4OPPtz2VWJRnaLogiXyKCyHE5WaMfu2x76adHHFWTY+/1Pibi9NyIpfRePOtWMEjKz7fVHfi4tcyM+V77zpq7NiipAhDf/X1vptv/bzVZ7TdSCnasq1hy7YGhL5edFz+9dfNt9ttiZrhgCHw+OgFORShteuq7ronatw5bNo0eM3sLyilwWBow6e7n3luT1l5+wr1CCFPinjdL3d081Z8NN2Bmnkc4WpKk/LlrpOHjprSSVdNAAAAAAAAAOg1EIAG/YskSZmTz2luaqAlr6eiSoRQbuN/fZ5rZBliWIOI2+167aVTTjszQtULXSdXX/PZin/Nc7lEm82GEKKUiqLIqiiwuK3Nxj/31DEP/G37tq/qwgfe8lnaX46fG3x/Q3hL9dV38Hdck3bKQv+Wb9wzp4qiWPXwMzFm9e1Vt85ftSLirjVrK7ryd3ZQV6decsW6saNT/nrfwvR0b4+cszcQQu648/21H1bFHvbemooP1v33pedPhPrXnfKkiC2tesftuTn2YxfmvvzKoQ/WdXJvt5WRDvU3Ei8UCq1+85vnni+O+J8Ne/Yel4jj+Oe2QyhX6T5ZDO5zk4aOe6vEw3PGHT8UCoIDAED/R4nRbLnQMMcJKb3zXk8pCQaQabU+LLbZseVm3VTXkBqyOhOOx3Zn1Et7QKcEB0KI/ljiPFZ2iwDXLPYdg1CNUISQZhLcWT1Iaq1iJEMoknmrH/kkyyN7WyCkm5b/TFHknA6rMcykyOgabCAADfqjVG868l5WV13urH7FjnwNpV/njZqV6EmBPpWdnfHmqlMXL1kdce9lv/5kzuysKy4dhzEOR59N0wyFQrIs8zxfVRX47TWTl13wYduj/lQ17b7fj27863/CWyr+9EjFnx5BCDlmT6eEhDZvjzGlwMdbNEWVbBHKTEdM1u6y3cWtJ5/2+omLCq+/bp4sR7i5xKKUXnn16m93NHU+FCHTpGcve+ftN87wej29PbGktuLfC8869722W2YfkeFwCOvWVz/3/IG4TnX5pWMh6zyxKiqq//bIlk2b6zoded1VQwvFbTEGqDilXJo7Qn0n4t5KNC5lxPEehNwH2i/XVdPRqWMX59kd1qcNAAAggYyG+m9nH2FxsFxYNGHNB70xDWqatbderX4f6yNxW2m/ucV90pkWB6ufvht47kGLg4VRk1NufBT3g0YdSQljRFWE2rSWiPFlJZ4oJ+gOStHXLWYDq8rYUN/peCWoNwUi1KWMSNfNularjRlt/SYA/du/f36w2mdxcD5CvqaofbbbIU74QtTv9JeHHQAdZeYU2Kf8ttKzJHv44YmeC0iAzMz0119ZHG3v5xtrMebDic+KovA873a7NQ0jhFwuomnqiysXtj3EMOjv/ud4eMZ15n13CtnpbXcFN34V2rwdy51kcPgbI3dUX3h0rsU/yrp33ytbePwL3367j/3q8/mKiw8UF+8vLa0kHXsd9qGXX/nCYvSZIQRdcdX/KLSYj6mgIO+FZxfxPEYILTm1aNTIlI2b69etr243LD1dfuTBOUWFrmjncTj485ZZ/foKehYh5JNPvjvh5JVnnvOuleiz1yudOyVW9BkhJNPWiNHnajS6ecjV6WNPESVJkqRy92nVdHQdHVaKpu+js/3Drsmddo4dos8AAAAAAACA/gFWFEG/hjHOHzYRIUQI0TSrq39gwMjJyXhz1WmnnvFGxOjleRetlyTuX38/wul02mw2jDGlVJJoeYU/P8+FEKKUvrhy4XU3bKyq+qn0aiBg3PtcHcpYtuD0zOOrP21946f8Eap28hiLdhnU4lOm/ntFcRf+wNhMk/7q6k9E8VPDIO3uAZ7HE8Z57r17YWpqn2YW67r+6GPfx3tUeXmwvr45M7P/FhXpD4YNy9uw/qI/3/X+qtUROmEyDQ3q/Q9ur6wKRNzLceit189q15kT9I0339py3wOdl+du6617W7pwZWADLRCGLfHafpbTkZk/GuWPRghlyjJcbwgAAAAAAADobyADGiQHjuNsNptkucQYGDAyM9M2rL9wzOjIde40jVxyxcbVb+5nRTAwxpIkFeS7MMaapgUCAYTQfX85/O47Z4hi+5e7jzbU3Vg89sHDrnXdf6vFAnMpmRkRt3s87iNnZ8XxVyGEEMrKsmek2zq9ZV1vH31GCJkm/XZH8wmnvHbG0v+WlbXPk+0927cf6tqB773f3TZrg0Fzs2/N2srYYyoqAxHXYzBGr79yqsMBSa99SteNl1/dNHvuk/FGnx+4a5wDR15IiIhQroyf6R9xnWvcMpstwhWFsiyzdbi4pgEAAAAAAAAAfQAC0CCZsDC0ALXABhme55/+z5mXXzo22oCXXj2w/MIPv9hSrShKuNSDLMtut1vTNJ7nMzO4p1fMe+DeWV5v+5LKikJuerb14wv/JI0ZFnsanrMWidFrdNx26zGSFN8r6gnHFz3ytzkvrjz2H48cGdeBbVVWhs5e9u7jT3zcNzUudnzfxW5pO3e39OxMBqT/PPVF1w7MzbF/uGZ5VlZ650NBD1FV7elnP513zLOP/H1nu10Yo1RP1H4+aV7p9ccyFmR9avGGgtRzyHm6Nvb6rFHzRTHCaSH0DAAAAAAAAOjnIJAHko8gCIIgGIZhGEai5wL6zoXnz/nlwlEXXfa+z6dHHPDQo98dNSeL4/GvLpvEYjGapsmyrKqqKIqKong89JEHjxBFkRB0z/1fnnXGyBdf3rdrdxNC6PMtjZ8LJ9/5R16586FoE+Ac9hjTc7kcL6488Yylb1uPAz/z3J5nntsz4/CMa/9v6vPPHLP8wg87PyaKZ5/f/8mn1U//53S5szLW3dTlKHd+LmTmdoJS+t6aii4ceMLx+Tf/4ZccByvKfURVtaee3rTyv/si7r35xumTJ6Wfc97aiHvPPL3ouuN2SriTPHeEkErtDeJkOXuay+2JVmNekiT4vwMAQL+FOSxHuXju5yihlHc6zF6fkSV8ikdItzJthBDibLE+HreDJRvvtbpYzrvc1s8cL33t09TfHGMAp+uYUo1dfUtM7LZcR44f+AEWun8VQpYb0hQeh6XIV7JGwMtIjPx/pwhRQn72sYePutjfTapJyn1WO91xGBe4ZdHa5zGKEDVMqhsIISsf4TiEJM5qhgFBceQiNPjV5z47aHEwpdTQzHbX5FJKWaZXx+zAZUcNd8hWnwgODqcIVj/NYiORnZBA9w3810cwULEwtGmauh45HAkGnry8rHffXPboPz5+7fVDEQd8+nktQuiTDTWjRnpu/+NhrGaLJEnh3EBKKUL4vTWHKiqDz67cs/9Aa9vD//i6OeXMW5fsflX9bk/HkzvGjIg9vdzcrNWvnbZ4yRtx/VFbttafe/66KZO7m7t6qCSweMlLL79wqsdj+UNe/DIynF07cNKkuEuUDEJGnB+qcnPt//z78dlZab00H9DR2nXf/PkvX7KaPx05Hfzd930VcdeF5488+8xpmVX/xrH60COdSlX8NFfeYQ6nKz16UjOEngEAIAkQajTUWxxLU6J2GO5jJOAjLZHbbndENatxOoQQ0lXaarWRNQn64zhznMxdm2hDrFV/9hbLlgT4wiIUsnwlH+kn6wi9qe6rOALQefMQsvzdhOiIBCPuwQhh9PObpb11VxuE1od0i1k3AofzXO0vsY1B0UlAY39G5/ehoZs+1WrKHY3y6TQiv2ps3mf11QlRqgZ1I0ozpI7OmjUUWb5LfK1qY0Pkf3pH7pQ47mrQD8G3F5DceJ6XZRmKcgwegsBfd+0xz/zn2Nixl737WpZdsH7p8rWXXvFRZZWPbSSUVlb6brlt88uv7j/8sLR20Wfmm52tt6PjvI/d1W47dtgmXHR2p9PLzEz7eN35+XlxZ/t+821DvId01Nqqn7T4tcbGWAkd3TT3qFFdO/CImSN7diYDD8Z4yelDLA522PmHH5zz2kvnQPS5z1RX1y06+bk//XlbtOgzQigQjPBd6IpLR3+09rzLL52HiBox+kwRLqHTK9OWBUZeR8b9Nnv0fKfLHa2kBiu4AdFnAAAAAAAAQBKBsB1Iehhjlg1NCNE0LdHTAX1h9OiiTz+6+PJfvf79rk6Crf6A8bsbfqqr+/wzx9x0w+Qrf7Nx3frqNK/U2BThAUMIuv6fteOW3HrWtqeMkkrEcc7Z045c9YTFdQ5JEl996Zzduw9cfuXHhtEXdZnbMgk96dRVn3x4gSj2yst7amrKrCMyN22ui+uoyy8dE7FtGmjn/65cUFz85tfbo6YdcRxaMD/n+t8e1at57qAdQsjtf35/3fr4CqBjjK68Yuw5S2eFg8Ueb2apsry1tVnEKqHY5khNz8qTZRkhlGPhhLIsQ6FnAAAAAAAAQDKCADQYOFiLQghDDxIY4xWPL9l/oOya334cMY4c0QWXrDdNuvDoHJ7HEyekPvjwrmgjd+1uvcN1xppDZ7ndXalAN3bs8A3rh+/bV3L3fVt37+nh/nsXnjfimZX7Ywy46db3Hrjv5J690bC77zxu0ckvKorVq95mHJ5x4fld77I4qHAc99ijpzU3t2zbdmjF07tCIUNVidstZmbYTj5hyKxZw73e1ETPcdA5cKDy/IvfJ5avOkQI5eXab//j4RMnRrhcIDs3Pzs3P64JYIzb1hECAAAAAAAAgKQDAWgw0LAwtGmahmHQLndMA0lixPDCt1cv3/Dpztvu2KLrnRfSYtfOb/istiDfsWZt5/mMdnu3WueNHDnkqRVDTNP8fmfJm28VV1WHeB6LArf9mwZF7XoLhWdW7j/1lMLVb5VFG7BxU215RVVBfrTWZd0iy/Ibry4585zX/f7OS5ItPrnohusX9sY0BrDUVM/ChVMWLpyS6IkA9P6a7X/+y5cWBwsCPv3UYRecN93r9fTIrXMcxwrZAwAAiIvkTUFmtsXBWn1d63c7LQ6mhiHnWD0zb7fF0TAdYzHb6pmFVI+y2+qcEcaYwyhmB4KfEEKVkNUzI2Q21OoHf2idYioKVRSEkOly6ZEuHDQb47uEzjpqGqS6FBGrn66x3YU8sfqvsIVnjvV/i2sNWGmldVZ7uyF7CnZZbgOjK9RfY3Ww5rM6kvGVxzFY9iBq+YuM2vRjMW0LSG+lkZmEapYfHjqhAoet1oAeDCkCGHscotkhG4MQgjHuZpKE2ylmeKxeKYshvJPkIAANBiae53meh2zowQBjPG/uhA/XjFn/0c6HH93e3NJ5U0pNI6pGHA4+GKlga1hmhszzPVBolef5yZOGT540PLyFEPLpZ7vvuPOLLoehV79VNvfIrA2f1UYbcP5Fa9Z/cGHXTt4pj8f9/jvn/efJDTESsXNybI89cmxuLvQeBMnqjTe3/fXBb6yMPPyw9GuvmTF0SG5P5SmzluKQ9QwAAF1jtLZqNVZDdWVPv7Bzh9VgbsaMyUad1TPTTK/FkQghTKlp+cwmNQ+dc5rFwZzTyQvEanM8nhedkvW3n8Abz4beerbdxmiX/vEOWy817qH+ltCjv0NBq1FXYVguCsSq4/ezLwCeOFpwk/2byJevWBzMTVrEH3mRxcG06QD55H6r83CmxfEZAiO69QHrw5E7JY4mhBXvUsNyP0lXb31xCBhmqU+NY7yFxCZG5AZ+UJRSWt8Ust6EkFpc7kIIIdTSpNTWBCwOdmZ2KzkMJBwEoMFAxrKhKaW6rhPLa54gGQmC8MtjJx+7cJI/EPz00z3PrtxTVh6rnW5FRTB2LeOCfMfKZ5b0UgCI47h5c8evWzN246bdt92xxXo5i7Y2fFbrcgnR0pAVxdy568D4ccMj7u0+juMuv2z+RRce+d2x/QHFAAAgAElEQVSOks1flH6yobq8IpieLo8ambJgXt5RR45JSXFB+Awkr+bm1tjRZ0nirrh0zNELxqSne3qwEa4gCDzPw3MHAAAAAAAAMJBAABoMfKyAJqWU1eVI9HRAL8IYu13OExZNP2HRdNMke/YcuvRXH0UbvGlz3c03Trz7vh1tN3IcXnrW0BOOHz1sWH5vx4A4jjtyzvgP14zTNP2rr3Y//+K+7d80xbWEHrsIxk23bHzz9d4KQDOiKEyfNmL6tBFX/qpXbweAvhYIRL4AecG87KVnjx0/bhjP8z17i5IkhdsVAgBAl1FKGxsbm5ubKaUejyctLa3HX68AAAAAAOIFAWgwWGCMBUEQBME0TV3vvEoDSHY8z40fP/zzT4atemPLw4/uiJgBf/d9Ox579MgJ44dhjEVR7PM5IoQQxliWpVmzJs+aNbnj3gULn1a1qMn7ebmO5eeOvv/B7RH31tWr5eVVBQW9UgkagIEtPz/7808ubm5uCQYVt9ths9l6rxyzLMuQ8gwA6BF+v/+hhx7av39/S0sLQsjtdufl5d1www1paWmJnhoAAAAABjXItQGDDs/zvRpKAP0KxviM02d+8uGF99w1Mz1N7jjgqt985vMFEhV97pTTGWuZsLIq+MzK3TEGfL4xaqNCAEBsGGOvNzU/PyclJaU33jIwxjabzWazQfQZANAjAoHAPffcs3XrVpvNtmDBggULFmRmZu7cufO2224LBKxW2AQAAAAA6A2QAQ0GqXB5aMMwTLMrFXhBEuF5ft7cifPmTqysrPnPU19t3Vbf0PhTd8qzl7359htL7Xar7Xf70lFH5r75dkm0vUtOLVy1OlaIudUHTTgB6HegxyAAoMdRSp955pnvvvvO6/U+8sgjbNlM1/Wbbrpp7969d95557333pvoOYJYMMc5px9mcTAvSxwZYvXMPK/v/95qE0KExOEjObvd4mBB5DH/w9sZJcQwCUaIFyI3M8AhH2oot3hm2lSrvPwostjNjFK+aAQ1LddaNBqtjowTdqRQxziro7WA+el/rA6W4qqlg1H6KISQYeiIIsxxsUrxcBj5+0fOiuBCsifiHoqQoRuCKPz0wKJB2rDe6pm5bIkbanEspcgh8tRaYUQOo71NAYQsfaijlHKYugWEELKS/9RgxNHFyi7yhR6r32cV3SgJWL0onMN4aJa74x1iGAbmOL5DBbnn1+0lljsWavH8jV63beLIDIuDseVOkqDPQAAaDGqs8AKrywHloQeDvLzs225dhBDSNK2lNbBlS4nPp8iyUFvbOGRIXqJnF8FVv54VIwAdO/qMEEq1/CkEANAHoNAzAKCXqKq6c+dOQRBuv/12Wf7hki9Jkm655ZZLLrlk586dlZWVeXn98aMO+AElyvYvLY4VMzNQa4PFwZzDwXFxZNsYJfsxtfq1iNhEnv8p9MZ+inZjnE3mLb8HUn+z9tm7VuPmoii47UiN3L8hgoIcqyPjRFU/arEazCVEQ/UHrZ46e1g8HyAoaj6ALIZ7eBHx/WNRnISQ4Yu4ByMkIoTUNpuogsxWqyeWiZ8vsjgYI9Ss6BYDqBxGuklMi6MpbQiZfpUghFBI7Ww0wpbDuAihgKLXNlt9ClgMrzOE0uKKZsPqH4n2mMQXtBrdTrF8WoRQfUNw716rL30TRqRbPzPoGxCABuCn8tCEEE2DjNFBQZKkzAzpxBO8fXmjhJB4Y08ul/O2m6f++e7IVZ47NWxY5CQCAEBf4jhOFEVIeQYA9B6/319eXl5UVJST87PIWlpa2mGHHbZly5bdu3dDABoAAAAAiQJpOAD8hNXlsNlskKEGrKOUWlxDrq6uLi0tjbfe9PHHH3bknOwuTQ1NnFDYtQMBAD1CEATWdQCizwCAXlVeXk4pdbvdHWvWjxgxAiHU0GA1awwAAAAAoMdBBjQAEbDP7oZhQF0O0ClKaXl5eWpqqq7r6emxrvRhmUe6bvWKpLD77j7xhf9u+ufju+I66tKLx9hsUIIDgATAGIcvgQcAgD5QWVmJEBJFsWMWhcvlQgi1tka+Vv2DDz7ouI4eCoVSUlJUtfMrxPtQHJdpo3iuLo/vUnQSR1FRSuMaHNecrVWcZYOtnzfu0b0orr8x7mnH92iicdzblMQxmMQzOL6HU3yPkN5bJI/z3uvFwZbHIqu5RT+Mtj40bv1mInHqtRed3ntRRQgZhtHP3vV+hl2pH+8f1d9AABqAqFhdDkqprutxfdwEg4RpmjzPcxxXVGS1pljXYIyXL5t9/HFjr/3d2gMH/VYO8aSIF10wp1dnBQDoiOf5eK9yAACA7mtqakII2Wy2jtdbCIKAEAoGgxEPvO222zrmW+Tl5aWlpfl8kYuxJkScFUvj+NxumnEMJvG0LjfNOMKLhBDrF2DGFXpDNM4ID4rn5HGJM3ISz0xoXPcJodT6vU0Itd7+j5gkjsHE7KUzxxmlijcEHV8wN65ngfVi1ITEdVf32mpQnHd2vCfvpTPHq/f+xrj+NSSel2sznpdrhJCiKIqixHVIX2JzgwA0AAMcxpglRLNGhcn+nAc9paqqStd1t9vt9fZRIemMjLTnnz37y6/2/fXBbaVlgRgjF8zPvuO24+GSfwD6DMdxgiBA+SYAQKKw15+I3+TZZ9dk/1Qw+7PnqeV+XJjD1uMlcd0x8d2LOK6oHsbWg01x/jPjmTZGOO4/0yKKsNlbD0Osx/MOjDls/RsdRjiOkCsX730X50Ssjo3vwRfn4Djua4xxHFHUXnrkIUQxn4csJ7fyKNcez0TiYTptcQZzLY9ElMTTtDCuBSEzrmw8Gk/AmsSRcY4pIvEMtn5mmw1Co30B7mUArOJ5nud5SqlhGPGup4EBg1JaVlaGEJIkqaCgoO/jTYdNH/nSCyNDivrttyWvrdr9xdZ6w/jhnTUv17745KKTT5rs8biT/XsmAMmCXSuT6FkAAAa7jIwMhJCiKJTSdp8BWO0vt9sd8cCbb765Y9h61apVgiCw2h39RMfJBAIBFlxwOBxJvf5HKQ0EApIkdazfnVxUVWUPNpvNluzvjIqiEEIcDkeiJ9Jdfr8f/diRItFz6RZCSDAYHABP9lAoxF5ynU5nUn9fo5QGg0FBEJK96Fz4hUuW5f58FSPP8yj515KT+40BgL6HMRZFURRFQggrxAMGD13XA4FAYWFhWVlZVlZW+AMQIaSmpsY0TafTmZqa2gdvDHabPHPG6JkzRqM2V+Ik+xsSAEmE4zhRFOFJBwDoJwoKChBCmqaZptku9seqc6SkpEQ88JRTTum48f333+d5vj9HrFjsg30EkmWZfTNPUoSQQCAgimJ/vsOtIISwOM4ACKaHI+mJnkh3sQA0x3HJ/reYphkMBpP9yU4pVVWVBaBlWU7qYDohJBQKDYC1DdM02fO9n78ID4yLmSAADUAXhd/IdV2HhOhBQhTF1NRUhFBRUREhhBDCcVxJSQkhhH0Y8vl8dru9j9+6kv19CIDkIssyPOkAAP1Nbm6uJEmNjY2hUKhtsjOldMeOHQihnJycxM0OAAAAAINdEi+5ANBPsLUySZKSeg0TWEcIKS0t9fv95eXlhw4d8vv9LPrM83xRUVF/XjgFAHQZW3SM2OALAAASzul0Dhs2rLa29uDBg223HzhwoLi4GCE0YcKEBE0NAAAAAAAC0AD0EI7jJElikWgITwxglNLy8nKEkGEYGONAIMDyjDDGLDCd6AkCAHoSz/OyLLPX9kTPBQAAohIE4eijj6aU3n333Vu3bjVN0zTN3bt333PPPQihZcuWRSvBAQAAAADQB6AEBwA9jOM4Vok/XE4IDDBOpzMQCPj9/kAg4HA4MjIy7HY7rDqA/oZSSilN7JUZPM8naYUijuMEQYDrWgAAyQJjvGjRovLy8nfeeefOO+9su2vmzJlnnXVWoiYGAAAAAIAgAA1A7+F5nud5SqlpmoZhJHo6oGdompaWlqbrejAYZKWfBUHAGGOMw80AAUiU+vp6RVFYK6qysrKMjIxENXAXRZHjuKTr1IoxZnFnWFICACSjCy64YOLEiRs2bPjyyy8ppZMmTZozZ87s2bPhNQ0AAAAAiQUBaAB6FwtnsHbk0K5wAKCUVlZWCoLAws0+nw9jnJWVVVtbW1hYmOjZgS6ilDY3N/v9/vAqQkFBQX/Lfm1oaDBNMysri/2q67ooim0HEEIURWGlYERRLCoqinge0zR9Pl9rayv7NdqwLqCUslc8nuc1TUuuJZnwCzUAACQvSZJmzZo1a9asRE8EAAAAAOBn4LsWAH1HFEVRFCmluq4TQhI9HdAVGOOUlJSmpiZFURBCbrebUlpTU4N+jL4leoIgPjU1NYqiaJrWLle3rKwsKyvLbrf3zTTalcsQRZEQYhgG+RHHcV6vV9M0wzAopT6fLxAIuFyuYDCYlpbGYtOqqrYt+6MoiiiKaWlpLAmaEBIKherr60OhUHglzOv1stuKuDZGKWU3ret6U1OTaZp5eXlsezAYbGhoIISwhz37gZ2KEMIiubm5ue1C5D0oGAzW19cXFhZ280kHcWcAAAAAAAAA6G3wpQuAvoYxZs2sKKWGYUBOdHJhsWaEkCAIrLIKz/OSJGVmZiZ0XiAOlNKysrKUlBRZlllcte1ejLHdbuc4rm8SeE3TxBiXl5eHyyWHb9c0TUKIrussMC0IgqqqgiCweLEgCGwVpKWlJeJUg8EgQkjXdUmSDMPQdT2clYwx5jjObrfzPB8OcyuKQil1OBytra2tra1so2maLAAty3JaWlogEGhoaDAMgw1ud4tsPgzGeP/+/bIsszI1LC06PT29R+60uro6TdO6nLvN/vzeC44DAAAAAAAAAGgLAtAAJAzGOJwTDZHoZIExZiE5u93u8/kQQnl5eZD4nBSam5tbW1tzcnJYnLS6uloUxY7PO6fTqWmaoiiKoni9XtM0bTab0+nkOE5RFNZltPtZt5TS+vr61tZWlnnNisVHuzCCbWcLHuEcZ4uV5YPBIItEMw6HI1ybXlXVUCjU0tJis9nYCVnEOeKZFUWprq5mUWkrt8tuIhgM8jxvs9kEQXC73RzHdfPiD0VRGhsbEUL5+fldOBzynQEAAAAAAACg78HXMAASDyLRSaSgoKCpqYnn+ZaWFqfTGQgEKisrc3Nz+1u9YIAQMk3T7/eHQiFN0wghLH24urpaVVUW9o34XPP7/ewHTdNYwjvHcawrHRsvCALrsMfiyKZpdpqKG54JKwTPMpET0pu0bTA6PLe2hTuisR56DrPb7YIgsDtNlmW73d79Fzee53NycuJ6ukFfQQAAAAAAAABILAhAA9CPtI1ER8tDBImFMU5LS0MIeTweQkhFRUVra6tpmikpKampqTU1NVlZWRDnSixKaWNjYyAQCIVC7Z5ErHZEvCdsF3ttWzDa4XDEiD4TQiorK9mNDsKFpVAohBByu91Op1NV1dLSUkppQUEBQkhRlPr6evZzXOKqmyFJEsYYno8AAAAAAAAAkFgQgAagP2Ipe+xScYv5iaBTpaWlXS4aG0YpZSHFvLw8URQLCwtLS0t9Pp+iKM3NzRjjysrKvLw8VVW7Fl8DsVFKy8vLCSEY4+HDh7eNL4f/Ne168fUSVlMiNze3Y3yT9e4rLy/XdV1V1d6eST/n8/l8Pp8kSaz2fUlJCUIIY1xYWNhLt9j9GikAAAAAAAAAAHoQBKAB6O94nud5HiHE2pH1TWO0Aan70WfGNE3TNA8ePCjLclZWFkLI7Xb7fD4W9MQYs65xsiz3yM2Bttjdq6oqa6DHymLwPK+qamVlZUtLSx/MQZIkWZZZznvb7YQQ1r6PFdmAKxjaaps2jhByOp2lpaVZWVl2u71Hzs+aCkLcGQAAAAAAAAD6IQhAA5A0wjFNKBWdELquV1VVybKckZHByjsEAoGSkhKHw0EpDXdXo5QGAgGEkGmajY2Nmqbl5OQkeu69RdM0i1G/UChks9kwxpqmVVdXd4zetqPruiAI7MzhqguappWVlbHCDqqq7ty5k63NpKen19fXd6xu3LM4jmPN+lwuV2ZmJvrxXxwKhVhbP1VVu1DfY9ByOBzdX6QRBIGtQ/TIlAAAAAAAAAAA9AYIQAOQfNqVijZNE9Ki+4AoitnZ2bqus9ZqGRkZrNAwQghj7HQ6CSHsVyYYDBqGYbfb/X4/pdTtdidu7t0SCARUVU1LS6OUVlRUeDye8N9SU1PDujI6HI6ampqioiLDMEKhkN/vJ4SYpunxeDwej9/vb2hoYNV4WXkKTdOampp8Pt+oUaNYtQqEUHZ2dnV1dUFBQTAYrK6uHjZsGEKovr4+fDZN08LrLoZhhFOMNU3r7ZobNpuNxcFZHn1lZSXGOBgMQsQ5LiyIz5YNWN46W5aI9ySsqWDvzBEAAAAAAAAAQA+DADQASSxcKppSGg5GJ3pSA5ksy5IklZWVsV8LCws9Hk9zc3MgEGD3v9vtZhFYNoCVHWCZ0X6/Pzc3N2FTj1N1dXVWVhbHcWVlZWx5w+v1IoQIISzczGKILPrs9/v9fj9CaN++fYZhEELCKyJ+v7+xsVFV1XaPzEAgwKL2Bw4cIIT4/X673X7w4EHTNMvKyiRJEgThwIEDiqJYKWTRBxWfWfQ8Pz8/FArV1dV1bG8IYsMYu1wuhFAwGDRNk+M4v98vy7IoihZr40CyMwAAAAAAAAAkKQhAAzAQsOgYq4LKIqEQHeslGOOCggIWBaurq2MJsKFQiAVYFUVxuVwul4sFZBmfz4cQcrvdrFpxgiZuVWlpKUKIUlpcXJyZmclxXHNzs9vtDofdEUIVFRU8z7OU5NhN9iil0SpjUErb3kvh5PH+1rXP5XJJkpSTk8P6H7L4aaInlXwopeyJwBBC2DLGyJEj29aGbgcqOwMAQKKw1iOJnkUsbM2bNYdgi/1JitXWMwyjn9/hnQpfnWYYRrK/d7Nqh8n+H0EIsStlOY5L9r+FEMKeI0n9ZEcD6GnC/iM8zyf7Q0vX9fB/pD//Lf15btZBABqAgSacFo0QopQOgPfp7quqqgq/ZFNK2Zt9enq6JEnh+sLWha/9D//gcDhEUdR1XdO0QCDA6kSrqsqKb7AxiqJUVFS43e7U1NR++2nDMIz09PSWlpaWlhZCSF1dHXvwtA0dMoIgDPhFDqfTKQhCTk5OZWVlaWlpuzZ6oAswxpIkSZKEMXY4HOnp6RHvUlEU+/9SDQAADGzr16+fNWtWomcBAAAAgAECQ+lYAAYJtko5aIPRgUAgGAyy9PC2wWjW2tHhcLjdbkppS0uLIAhOp1NVVZ7nWRy/I0EQWNINSyvQdZ3juMrKSrY3GAw6HI6ioqKysrLW1tZ2x7rd7qysLNbOrp+oqKjIy8tDCBFCfD6fz+frOO1BhVV8xhiz/K/+lpSdXERRtNlslFJRFF0uV0pKSscxGGOe56HCBgAA9BO7d+/u558ECCH/+Mc/fD6fKIqXX3557M7G/R/7VJnsb4IbN2786KOPMMZLly4dPnx4oqfTLewb0wBoOHHfffcZhjFx4sTFixcnei7dRQhJ9v8IIWTlypWs+c3vfve7fvV9sAsGxgvXhx9+uHnzZoTQ4sWLJ06cmOjpdGLcuHHJ21kKQQY0AIMHx3GSJLGfky4Y3f23t4aGBvYDq1XCfkAIiaLI8qCrq6slSbLb7bW1tWww65CWkZHBcRzP8xzHhT/01NbWhkIh1mHPNM3GxkZN01jiucfjYV0iQ6GQzWZjDfTazsTn87FaHJmZmXa7vct/UQ/KzMxsamrSdT0UCimKMphLTLAy35TSQCCQRE+Q/kOSJFmWNU1jMWVJkqIFnRFCLOic7N8lAABg4Bk7dmyip9AJXdcbGxtra2tlWZ4wYUJ+fn6iZwTQrl27KioqMMZDhgyZMWNGoqcDEEKourpaVdVJkybBf6Q/0HX9iSeeqKioQAhNnTo12idk0Jc2bdrE/iO5ubnwNOltEIAGYDAKB6MppYQQ0zT7c6yNUlpdXc0KPoiiyEpY+P1+dp2+IAiyLKMfA8rRFBUVaZomSRIrpNDY2Mi2G4YRDAarq6vZryypmeM4jLFhGJqm+f1+FkqjlLKeaYIg2Gw20zTr6upqa2vDWdKUUkVReJ73+XysmFS0e1XXdZ7nm5qaEhiArqury8zMZD8TQpqbm8O9EwezgVFdrs8IgiBJUrhcBqsMjhByOp05OTkRn5IcxwmCMADSJQAAAAAAAAAAWAQBaAAGtfCV7+jHYLRhGP2tMg/GOFwgghDS0NDQtiSCaZosqZnlI5eWljocDtb4juO4vLw8n8+nqqrH42FxalaC1uFwtLS0sNLGuq63y/lt+yuLRbIt4dod7BbbHcWibx3LJXek67qu66yzX35+ft9ngFZWVhqG0dTU5PV6EUI2m83hcEiSFAqFBnmZ48Gc/W0dW4mRJMlms7nd7k5LZwiCAOU1AAAAAAAAAGDQggA0AOAHbYPRCCFKqaZpCQ9GU0pZnSw2E7fbbbfb2wagw9mUoVAoFApRSpuamli5DELI3r17bTabx+OpqalBCPE8n5eXx8LHXq+XhV8ppTU1NbquU0qthI/ZIR0jlfHGLlVVlWW5vLy8qKgorgO7jwX0Kysr2T1QUlLi9/sHQ19B0AWsLAn68SIDp9OZlpbW6VHs6gQIOgMAAAAAAAAAgAA0ACAyjDFLGWZYXYI+iEeHK2CwboG1tbWsALTf70cIsQAxxnE0UPX7/cFgkOM4Fl01DIMdjjFmBQQCgUD4bOGi/pRSdou9xzAMWZYTWIUjLy/PMIxQKMQC+hB9BgghVmSG1T0XRdHj8Vh8iLIVrGh9OwEAAAAAAAAADFrwRREAYIkoiuyH3i4brShKa2srK3ahqiq7eL9dLDjeODir3cF+7u2wsnWEEF3XXS5Xn90ipTQUCrW2trLcdkopu5+h7gTgOI5V1cAYZ2RkWAw6s4LO0EUQAAAAAAAAAEAMEIAGAMSnXdnocDy6p5KjnU6nw+EoKytDCIVTsONKee6HWAFc2obT6XQ6nV6vt28yRk3TrKio0HVd0zTosAcYQRDCTTVdLpfdbu+0YgbLjGbXKPTNJAEAAICOOI476aSTfD6fKIpOpzPR0wEIITR27NgzzzwTY5yTk5PouYAfnH766YZhTJgwIdETAQghxHHc0UcfPWbMGIQQK3AHEm7KlCmKoiCE+r4q5iCU3DEdAEC/woLRLB7dtTNomtbS0sJi3Aghv9/f9jWKnV/TtKQrFiFJkizLgiCkp6eH88dTUlL64KZN02xubm5paQmFQn1wc6D/czgcHMelpKSwzpOdhpLZghOkOQMAAAAAAAAA6BoIQAMAegV7bWGdDOM6ihBSW1vLWgJqmoYxFkUxYozMYsPAfoLnedM0WSSabZFlOTs7u5unNU0z3DeyI8MwDh061LZnIxicRFGUZbnd88jlckVsJ8gKa7Denn01QQAAAAAAAAAAAxaU4AAA9AoWusIY22y28EbTNGMXj2a5z7m5uexXSmlDQ4OqqiylOpxhzS6TSRYulytiIE9VVU3T2l1+pShKx0BhNCUlJcFgkBVSYKV7212Fqqoqq/IMBiGn09k2bZnjuMzMzLadRcNY80AINwMAAAAAAAAA6A2QAQ0ASIy4mhmWlpYihNxuNwtnNzc367rOwtmGYbCqyij+5oR9yW63s0rQCCFKKcY4Ozu7XTSwtra2oaHB6XRaLEFVVVXV3NzM7kCe5x0Oh8PhSE9PZznRGGNd1ysqKhRFMQwDSj8PSCxPWRCEcDENVjFD0zRZljMyMjomyLNlnnChGwAAAAAAAAAAoFdBABoA0F9QSlk8OlqoNBQK+f3+trWMJUniOI7jOFEUEUKaprEK0Sy0HftsicJxnCRJbMJhHo/H4/H4/f76+noWGSSEuFwuURTbJlCzyHXbA+vr630+XzAYDG+x2+1utzszM5P9qut6TU0NIUQURY7jdF03DIO1Igx3ROzlvxj0JJatLAgCz/N2u12SJNZFMFqNZhahZs0DIccZAAAAAAAAAEDfgwA0AKCfYrFRFkSO+ErFosy6rrOgqtvtliSppaWlpaWFDcjJyTEMQ1EUv99PCAkEAn37F1jldrvZD5IkpaamiqJoGIYsy4qi+Hy+UChks9kyMjJM06yqqkII2Wy2rKwsdojP52tqampXDluWZYfDkZeX1+6GCCHBYLCxsRH9WJOabdc0DepE908s0Mz9yOl0Op1Otu4S7RAWaGbj+3KqAAAAQN8ghHz//ffffvutpmkjR46cNm2ay+VK9KQGvkAgUF5eXlpaWlNTEwqFvF7v2LFjx4wZ0y6pgjlw4MDatWs7bscYL1q0qLCwsPfnO/ARQlasWBFxV1ZW1mmnnRbxkOLi4m+//dbv9w8dOnTatGler7eXpzmIUEqfeOKJGAOGDh163HHHsZ9j/PsyMjKWLFnS8/Mb6EzTbGpqqqio2L9/f11dHcb4pJNO6viNuC1VVb/88svi4mKe5ydNmjR58uRoX6AopQcOHPjmm28aGxsLCwunTZuWmZkJyT3xghrQAIB+Kpy5Gd7y/+zdd3gU1f7H8TPZ9N4ogQChhF5CjXQEpAsKiAJBkCJcsQIqRSwgoKggCAjYUATxUiShCFJUkC6RKkUgIQQSkkASsunZnd8f59757d3dhLDJEsr79fjwzJ45M3Nmdjcmnz37HRlJG43GgoICIYTp3GeNnEqsPXR2dnZ3d/fz8zMYDHICtbwpooy275Fa0qbxcWpqqpubm6Ojo7u7uxyznOh6/fp1Wc1ZVdXMzMy4uDhZpsPT01NuIi+Uoiienp4+Pj5m1RXS0tK8vb2vXr2qqqoM5fn08Z7l5OQk62koiuLs7Fy+fPmi7weoFd/gdyAAwAMvOTl59uzZFy9e1FpcXV0nT54cFhbGJ6/2o9frhwwZYtleuXLlSZMmVa9e3eziJyYmbtmyxbK/oijNmzcngC4VqqpavchCiJDow2gAACAASURBVFq1alkG0BkZGZ988kl0dLTW4uzsPGHChFatWjk6kguVjsKeEalPnz7achFPX/Xq1Qmg75SqqmaveQcHh9atWxcRQJ84cWLGjBkyHBBCrF27NiAgYObMmcHBwWY9MzMzv/jii927d2stjo6OY8eO7dy5s9VP4FAYftAAuG9okbTZL0n5+fmFzZIWQhgMhqtXr5ruRP6rqqqzs3N+fv49FcVqM7W1edxCiLS0NHk7RxkrOzs7y7ne3t7eiqLctmB0XFxcRkZGQkLCvVaNBJKjo6Obm5tc8PPzk8tWydnQ1G4GADyc0tLSJk+enJycXLt27cGDBzs5OR0/fnz9+vVz5syZOXNm3bp1y3qAD7hy5co9/vjj1apVk7+I/vjjjzExMVOnTp0zZ06NGjUs+3fo0KFXr15mjcW80wmKb+bMmWYpmOlN4KXMzMzJkydfuXKlYsWKI0eO9PDwOHfu3KpVq+bOnTthwoQOHTrcxfE+yD744APLxpSUlEWLFuXl5Q0ePNhy7YwZM8xuSm/59KE4/Pz8wsLCateuHRQU9MUXX8ivDhfmypUrc+bMyc/P79mzZ9u2bQ0GQ2RkZHR09PTp0xcsWODt7a31zM3N/eijj6Kjoz09PceNG+fv73/p0qVvv/128eLFmZmZ/fv3t/+ZPTgIoAHc9yw/eJQFoOWMaZ1OZ/U33evXrxcUFMgyFE5OTrLWR0FBgYyz77WsVlVV0+LXnp6e2dnZ2ixp7dtzqqomJCRoqbqiKEFBQe7u7hkZGffaGT2c5PwgWcdZ/uvu7u7r62s5eVneWlB2LoOBAgBw74mKikpOTm7cuPE777wjf/1r1KiRs7PzqlWrPvroo6VLlzIZzU6cnJxmz57dsGFD08bWrVvPmjXr8OHDq1evfuuttyy3CgwMrF+//t0a48OrXr16ZgmmpX379l25cqVWrVoffvih9t7x9fVduHDhV199FR4ebnZrdNhAURSrL/jff/89JyenRYsWWt1FU/Xq1ePil5yiKN9++6320N3dvYjOeXl57777bmZmZr9+/Z577jn5B1qDBg3ef//9Y8eOLV++fMKECdq3Os6dO3fs2LGgoKD58+fL3TZs2DA4OPj9999fv359r169+MCg+PiaEoAHkE6nc3Z2dnFxcf0vFxcXGfnJadTp6em5ublGo9HDw8PPz8/LyysgIMDd3d3JySkwMNDf39/f39/Ly8vNze3eLGug1+szMjIuXLhw6dKllJSUuLi4mzdvqqqal5en1+v1en1mZmZmZqZer7906ZIs+owypCiKk5OTl5eXh4eHv79/QEBAjRo1qlWrVrlyZX9/fzmp2cXFxewVq9PpSJ8BANAcPnxYp9MNGjRIC5oVRRk4cKCLi0tycvKJEyfKdngPMBcXF7P0WQihKMoTTzwhhDh8+LCsj4d71s6dO4UQPXv2NP2QpnPnzm5ubqmpqfv37y+7oT34Nm/eLIQICwsr64HgP+QfyD4+Plr6LP5bkUan0509e1av12udf/rpJ6PR2K5dO9NvqYaFhQUEBGRkZGzfvv1uj/5+RgAN4KEg55M6OTnJmK9ChQq1a9cODQ0tX768LKAsZw0ripKZmZmbmysLLjs6Onp6enp5eVn9vLrMycIjeXl5ssLG+fPnExISzD6DlfdpLKsRPuScnJzk6yc4ODgoKKhatWohISHBwcEVK1Y0DZpdXFycnJyKLvQMAMBDTt4Dw9PTs1q1aqbtOp1OVlY9fvx4GQ3t4SXnA/I7zD0uOzv73LlzQojGjRubtjs4OAwdOlQIsW/fvnuqJuGDJCYmRl586pzcO65cuWIwGFq2bGlWvN7Dw6N69eopKSlpaWmyJTc3V5ZN79Chg+lPOQcHh4iICCHE9u3b+Z5x8VGCA8BDzcnJyfLbmvI3MKPReOXKFZneKori6+sr63Vo90KU/2ru/uDNFBQUMP3k7pN1yR0cHLQF8d8pz5UrV3Z2duaeSAAAlFx8fLz47+QAs1WhoaHif++fgbtDRjONGze2+p2tU6dOTZky5cKFC4GBga1bt+7UqVPlypX5dlepW7Zs2ZEjR/Lz8+vXr9+lS5dGjRp5enqahmXXr1+Xf934+/ubbSsntt+6dctgMHArwlKnquq6deuEED169PD19bXa56uvvjpy5Eh2dnbdunU7d+4cFhbm5eXFJzp2lZycLIQoV66cWbtOp/Pz8zMajTdv3pQ1PG/cuCHfO0FBQWad5XsnIyMjLy+PKhzFxI8YADAn/5ev0+lCQkJk3CyEKCgokEUtsrOzZdRY9E7k3GTtvrq4L2ghsmT5N5Kc4yMLvGj/yvRZ/PeVY7oAAABKhbyntLwfr9kqDw8PIYS8jTPumvz8/G3btjk7Oz/99NNWO5w/f14uXL16dd26dVFRUQ0aNHjjjTfk84XSsmPHDrlw5MiRI0eOlC9f/uWXXzad7Hz9+nUhhOWN3IUQ8mZreXl5BQUFBNClLjs7+8KFC46Ojn379i2sz7Zt2+RCdHR0dHR0QEDAuHHjwsPD79YYH0ayQKVl5XQ5hUgIkZSUJFtSU1NN203J947RaMzNzSWALiZ+xABAUbQvFTo7Ozs7O2u3+zOlqmpOTk5WVlZmZqYs5WE0GmXRD0VRtDsi3vWxP7y0ONg0TdY+NtCeUy1NlrVZ5L/88g0AwD1IFuV0d3e3/JRXfmBMzbG76datWzNmzEhKSuratWu9evXM1lauXHn69Ol16tSR09XT09O3bNmyY8eOv/76a/Xq1WPGjCmLIT9oFEUZOnRomzZtKlSo4OTklJ+ff+nSpVWrVh0/fnz69OkLFiwICQmRPeWdzIt47/Cnip3ExMQkJCTIqo9mqxRFefrpp9u1axcUFOTk5FRQUHD58uXvv/8+Ojp69uzZH3/8sfxiB+whJydHCGH1prXyPSLfMlpPq/eFkn8zqqrKV5CLjz+zAaCkFEVxc3Nzc3MLCAiwXGswGHJycnJycnJzc2UYbTQa5e95WhEP7aHm7p/FvUn5LyGEaZkLbdKxw//S6XRO/yWrfjMZGQCAB4CcrZabm2u5SlZCo7bDXaOq6meffXb+/PmuXbu+8MILlle+WrVqpqW6/fz8hg4dWqdOnZkzZ27ZsuWpp54qrBwBis/BwcF07rmzs3OdOnWmT5/+wQcf/Pnnn5GRka+88opcJZMyGaWZkX908NuynXz++edCiBYtWlhmnVoBbsnJyalWrVrTpk2bN2/evn371qxZM23aNOr42Yn8kWU1OJbvCO35ku+dIv6/I4TgaSo+AmgAsC+dTufh4VH0lw3lZ6cFBQX5+fnav5JlNq1VoL7vAmsZH2uZsvy/tVmLTqfT6XSOjo6mC46OjnKB/8EDAPBwkiU48/PzjUaj2e8DMlmTN8SDven1+oULFx46dKh9+/ajRo0q5lfHFEVp1qyZh4dHZmbm0aNHu3TpYu9xPoTkF/v69+8fHR0ta6ZLstat/LPC7NMCWbiGrwDaw6VLl+Li4hwdHXv16lXMiN/JyWnIkCEHDx68fv06lYXtRxZDt/zSjDadOTAwULbIj8oMBoNljRr53nFwcHBxcbkLY34w8FMGAMqeLCzl5OTk5uZ2285GCzKq1h6a3R1RPjTdgwystdjaNL82XWX1X9OHpvffM52qrC3LOcjavzJT1qYqc890AABQTFWqVBFCFBQUZGdnm32uL8tDU1nY3uQNTubNm/fnn3+2bdt20qRJd/SLnE6nq1mz5okTJxITE+03SHh5eTk7O2dkZGgtFStWlAsZGRlmc89jY2OFEC4uLnyBoNT9/vvvQoiuXbv6+PgUfyt3d3c3N7esrKx74Rb3DyqZL1vet9ZoNMpYWQugte83p6ammt20UL53ZAlHO4/3wUEADQD3GRng2m//lrlzYQ8VC/YbFQAAeJj5+fkFBARkZGQkJCTUqlVLa1dVVd6ErU6dOmU3uodCQUHBBx98cPTo0ccee2zUqFF3+oufwWCQtyUMDg62zwAhhBC3bt3Kzc01DT29vb2DgoISEhLOnz/fqlUrrV1V1fXr1wshwsLC+JZhqYuOjtbpdG3atLmjrTIzM7OysgICAvhIwH4qVark4OBw8uRJs/bc3NzLly/7+Phon9N4eHiEhITExsYeOXKkV69eWk9VVdetWyeEeOSRR3imio+fMgCA/6FVw9AKYmhFMLTyyvKWjNq8Zq0iMwAAgD0oitKiRYu8vLw//vhDmxuoquqff/4ZHx/v6uoaHh5etiN8sKWnp7/99ttHjx5t06bN888/b0PBk3379uXk5Dg5OYWFhdljhBBC6PX6H3/8UVXVqlWrao2KonTt2lUIsXfvXtN5tWfPnr106ZKzs3O3bt3KYKwPtH/++efy5cve3t53dC/BzMzMFStWGI3GSpUqWb1FHkpFaGiou7v75cuXDx8+rM2vMhqNW7du1ev1ISEh2uc3iqI89dRTQog//vjDtGZ0fHz8mTNnnJycBg0adPfHf/8igAYAAAAA3OvkBLSNGzcuXbo0OzvbYDBER0d/+umnQoixY8dSgsN+jEbj3LlzT58+3a1btwkTJhT9lfPs7OwffvghLi5O3rlLVdXU1NQlS5YsXrxYCPHEE0/cUUUCFGbfvn2HDh1KT0+XmXJ+fv6pU6emTp164sQJIcSAAQNMO3fo0MHJyWnv3r0ffvjhrVu3jEbj33//PXfuXNnT29u7TE7hQaWq6oIFC4QQXbt2LeyjmqNHjx44cCA1NdVgMAghCgoKzp0799Zbb/35559CiGHDhjEn3X48PDzGjx8vhPj4449//fVXg8GQl5e3evXq77//Xgjx3HPPmU5qDgsLq1ix4unTp6dPn37jxg1VVS9evDhz5szc3NyOHTv6+fmV2Wnch5T75dZVAAAAAICH2aFDh5YsWZKamqq16HS6xx9/PCIiwtnZuQwH9mC7fPnySy+9JIQo7BtvK1as0IIYvV4/ZMgQyz7u7u4dOnQYMWIEt4ssFV9++WVUVJRle82aNZ9//vl69eqZtZ8+fXrhwoUJCQlai4ODw6OPPjp69Gg+vCldV65cee211xRF+eabbzw9Pa32Wbt27cqVKy3bq1WrNmrUKL4lYIMtW7YsX75cLmvlIuXD+vXrz5492+zH15o1a9asWWP6nQA3N7fx48d36NDBbM8XLlxYtGjRpUuXtBZFUVq1avXCCy8QQN8RakADAAAAAO4D4eHhzZs337p166ZNm7Kystq1azdgwIDy5cuX9bgecPLO0sXs7Onp+cUXXxw6dOjIkSMxMTF5eXk1a9bs1KlT+/btiZ5L0bBhw5o3b75///7Tp08nJSX5+Pg0bdq0V69eNWrUsNq/QYMGS5Ys2bVrV1RUVEpKSnh4+IABA0wrdaC0nDlzxmg0tm/fvrD0WQjRr1+/OnXq7N+//+TJk0lJSZ6enk2aNOnVq1ft2rXv5lAfJIqiFFaO2ep08meeeaZ3797//ve/f/31Vycnpz59+jzxxBNW91CrVq158+bt27cvMjIyLi6uadOmAwYMCA0NpQTlnWIGNAAAAAAAAADALigrAwAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAvHsh4AAAAAAADAfU9V1djY2Ojo6EuXLmVmZgYEBFSvXr1BgwZVq1bV6XRlPToAKDME0AAAAAAAAP+xY8eOXr16CSE++OCDiRMnFmcTVVXPnz8/ZMiQ6Ohoy7WVK1eeOnXqs88+6+npado+fvz45cuXm7YoihIUFNSxY8fBgwe3atXK399fUZQSnAoA3BMIoAEAAAAAAP7DaDQWFBTIheL0V1V12bJlkydPTk9P9/Pz+9e//tWoUSM3N7e8vLwLFy6sXLnyzJkz48ePb9CgQceOHU03LCgokAcyFRcXt3LlypUrV1auXPnNN9988cUXyaAB3O8IoAEAAAAAAGyUmJj4zjvvpKenN2vWbNOmTZUqVTJdO2XKlN9+++29995zcXGxunlQUNC1a9fksqqqer1+48aNb731Vlxc3Msvv+zm5jZq1CgyaAD3NW5CCAAAAAAAYKMvv/wyKSnJ29t77dq1Zumz1KlTp19++aV58+ZWNzcNlxVF8fLyioiI+OWXX2TLJ598YjAY7DFsALhrmAENAAAAAABgoy+++EIIERISUr58+cL6ODk5FX+HiqLUqVNnwoQJ8+bNO3v2bHx8fEhISDG3TU9P/+uvv86dO5eRkeHs7BwQEFCtWrXQ0NBy5co5OFiZg6iqakpKysmTJ8+ePZuVleXl5VWpUqXatWvXqFHD6pizsrKOHz9+8uRJvV5foUKFxo0b169fvzi3WDQajadOnYqOjk5JSQkMDBwyZIizs7Pp2jNnzpw8efLatWuurq4NGjRo3ry5WclsAPcvAmgAAAAAAABbqKoaHx8vF0p3zz179pw3b54QYv/+/cUJoA0Gw5o1a0aPHp2Tk2O5dtmyZc8//7xpi6qqWVlZ06ZNW7hwoeXgfX19U1NTzfa/Z8+e/v37p6WlmbZXr159586d1atXt6wTUq5cubS0tA0bNoSFhXXo0CE2Nla2N2nSZODAgTKAVlX1woULPXv2vHjxoum23t7emzdvbtOmTXHSbQD3OAJoAAAAAAAAWyiKEh4efvDgwYsXL8bExDRq1Ki09uzh4SEXUlJSbtvZaDROnz59zpw5QoinnnqqW7dubm5uBoMhJSVlx44d27dvt9zk8uXL3bt3P3/+vBBi2LBhHTt2dHV1zc7OPnPmzMqVK/Pz8836v/POO7NmzRJCtGrV6rnnnvP09Lx+/fr8+fNjYmKaNGmyZMmSYcOGmW0i77J45MiRV155JTk5efr06bVr1y4oKEhMTJTTsVVV/fzzz9988029Xl+/fv0xY8YEBgbm5eX98ssvP/74Y4cOHaZNm/b+++/f8bUDcI8hgAYAAAAAALDRtGnT+vXrl5WV1a5duxUrVjzyyCOBgYF3VHPDqps3b8qFqlWr3razXq9fvny5Tqdbvnz5yJEjTVdNmDAhLi4uKSnJtDE5Obl58+Y3b96sXLnyli1bmjRpYrp2xowZn3/+uWnL7t27Z82a5eDg8Pzzzy9evFir5vHcc8917tz5+PHjkyZNevzxx319fS3HNnPmzIYNG8bFxfn7+5ut+vvvv19//fXc3NwxY8YsWrRIK8oxcuTIHj16jBo1atasWV27du3UqdNtrwCAexk3IQQAAAAAALBR165dw8PDhRC3bt0aOHBg8+bNGzduPHz48K1bt6anp9tcmuPHH3+UC61bt75t54sXL964cSM4OLh3796Wa6tWrdqiRQvTlsWLF8uAe+3atY0bNzbr7+HhMWnSJO3hrVu3IiIihBDly5efO3euaS1pf3//1atX+/r6JiUlPfXUU4UNb8WKFX5+fmaNubm5nTp1ysrKatKkyaeffmpaEloIERER0atXLyHEmDFjsrKyijx7APc6AmgAAAAAAAAbubq6bt68eezYsd7e3kajMSEh4ezZs999913v3r3LlSvXq1ev1atXW1a0KIKqqtu2bVu5cqUQomXLloGBgbfdRK/XCyFyc3OLeaANGzYIIfr379+6dWvL2s1m/vrrL1kGZO7cuV5eXmZr69SpIyPsX3/99fr165abt2/fvnnz5pZH2bNnj9ztzJkz3d3dzdY6OjrKWdgJCQnnzp0rzkkBuGcRQAMAAAAAANjO399/6dKlN2/eXL16deXKlRVFkXlrfn7+tm3bhg4d2rJlS5kRW1JV1WgiNTX1ww8/lJN/hRDTp08vzl34atasKYRITEx8/fXX8/LyVFUtYua1Xq8/efKkEKJ///7FObt//vlH5tpPP/205VqdTjdu3DghhNFo/Pvvvy07FDYz+siRI3KhW7duVjsEBwcHBgZmZmZevXq1OOMEcM+iBjQAAAAAAEBJ6XS6wYMHP/PMMxkZGZcvX46Ojv75559lJY3jx4+PHz9+xYoVlhOBExIStILRpsFxkyZN5syZ06NHj+Iculy5cu3atfvjjz/WrFmze/fujh07NmjQoHv37k2bNnVxcTHrfObMGTnacuXKFWfn8fHxQoigoCCzKhmapk2bysHHxcVZrg0KCrK6lSxL7e7uPmHCBLm52b9CCBl8a+WwAdynCKABAAAAAABKh6Io3t7ejRo1atSo0fDhw8eNG/f444/r9frvvvtu4sSJlgWXHR0dGzRooD0MCAho06bNgAEDmjRpctviGBonJ6d///vfffv2PXHiRFJS0tq1a9euXfvuu+86OztPnjx59OjRwcHB2t4SEhLkcX18fIqz87S0NCFEEWm1dnfB7Oxsy7WFxdYyVs7Kyvrss8+KHkBubm5xxgngnkUADQAAAAAAYBedOnUaOnTosmXLhBDr1q2zDKDLlSt37Nixkh8oKCho7969p06d+u2337755htZDSMvL2/GjBnLly9fsWJF9+7dZU9ZcNloNObl5RVnzzJBthouS1pAXPzEXAghS4s0atRo6dKlRfeUBUYA3L8IoAEAAAAAAOylW7duMoC+cOGCqqpmKe0dhbZFc3V1bdGiRYsWLSZNmpSSkvLzzz+vXbt269atiYmJM2fO1ALoevXqCSHy8/NlEYzbqly5shDiypUrRqPRwcHKvcQuXrwoFwqrtmGV7BwfH//II49Y3S2ABwbvcAAAAAAAAHvx8PCQC1qt57sgMDAwIiLip59+euONN4QQ+/bty8zMlKsqVaoki29YvWegpUqVKgkhcnJy/vnnH6sdVq9eLYRwcHCoVatW8Ucoc+3U1NQLFy4UfysA9yMCaAAAAAAAABvt37/faDQW0WHv3r1yoUuXLqU43/m2FEXR6XRa0Y+cnBytvX///kKIxYsXp6am3nY/LVu2lBn6pEmTLM/05s2b27ZtE0KUL18+NDS0+MPr3bu3XHjrrbcKCgqKvyGA+w4BNAAAAAAAgI2GDRs2adKkxMREy3BWVdXk5GQ5QdjT03PAgAF2GoNer7d6pz5VVePi4oQQfn5+AQEBWvuIESN0Ot3169dHjBiRlZVltpXRaExJSdEehoSEDBw4UAixa9eu3377TVVVbZXBYPjhhx+uXLmi0+k2b958R1O8Q0JC3n77bUVRIiMjt2/fbjWDNhgMaWlpRef7AO59BNAAAAAAAAA2MhqN8+fPb9as2dNPP71r166MjAxVVQ0Gw9WrV2fPnt2iRYuYmBhnZ+fvvvtOq8VR6latWtWpU6e333771KlTstSG0WhMTEycPHnyrFmzhBCvvvqqaf927dotXbrUwcFh8+bNjz766JYtW+T86Ozs7CNHjowcObJTp06m/ZcsWdKyZcvs7OzBgwd/9NFH8hwTExPHjh37yiuvCCGeeeaZ5s2b3+mwp02b1qdPn7y8vIEDBz777LMnT56U90XMz8+/du3a+vXr+/fv37t3b614CID7lGL6yRUAAAAAAMDDbPv27T169BBCKIpSxM3xpk+f/s477wghRo4cuW/fvn/++aewgKVJkyYvv/zyiBEjzPY2duzY5cuXV6pU6erVqyUc84IFC8wiZo2vr2+/fv2WLVvm4uJi2m40GpcsWTJ//vxLly5Z3cqsOseFCxdGjx69f//+/Px803Z3d/eBAwcuW7bM1dXVbCd+fn5paWmRkZF9+/YtbOS5ubmTJk1avXr1zZs3rXaoVKnSmTNnvL29C9sDgHufY1kPAAAAAAAA4J4jJzIXtlZb9eWXX2ZmZiYnJ+/Zs2fnzp2HDh2KjY11d3dv1qxZly5dBgwYULVqVfvNfZZGjhzZsGHD/fv3//HHH6dPn75+/bq7u3t4ePjgwYN79uxZvnx5yyTdwcFh/Pjxw4YN279//w8//BAZGZmTk1O+fPmmTZv26tWre/fuZv1r1ar1yy+/nD9//rvvvvvxxx8TExMbNGgwbNiwQYMGVaxYUafT2TZyFxeXBQsWvPPOO3v27Fm3bt2OHTtSU1N9fHxq1qzZvHnz9u3bh4eHe3p62rZzAPcIZkADAAAAAAAAAOyCGtAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAu/hPAP3JJ58oiqIoypQpU4q/cZUqVRRFadmypX3GVqhGjRopihIaGnrbwbRv315RlCpVqtzdAZYmebKNGjW6C8e6devWlClT2rRp4+PjExoaOnDgwCNHjtyF4+KOlNX7DgAAAAAAALhTjmU9ANwrDh8+/MQTTyQkJMiHt27dunDhwk8//TR79uw333yzbMcGAAAAAAAA4H5ECQ4IIURaWtqgQYMSEhLcQxVLmwAAIABJREFU3d2nT5++adOmTz/9NCgoyGg0Tp06df/+/WU9QAAAAAAAAAD3nxLNgJ43b15WVlZAQEBpjaYk7qnB3He+++67y5cvCyG+//77J598Ujb269evYcOGmZmZixcvbtOmTZkOEP+PlzoAAAAAAADuFyUKoJ966qnSGkfJ3VODue8cPHhQCOHu7v7EE09ojSEhIV26dImKijp69GjZDQ3meKkDAAAAAADgfkEJDgghRGZmphDC3d1dURTTdkdHRyGEwWAom2HdRVlZWTk5OXfnWCkpKXl5eXfnWAAAAAAAAEAZKlEAHRoaqihKy5Yt5cO33npLURRFUT744IPCNomIiJB9Vq9ebdp+4MCBsWPH1q5d29PTMzAwMDw8fOLEibGxsTYPxlJ+fv6CBQtat24dGBjo6enZpEmTUaNGXbp0qbD+BoPh+++/79evX5UqVVxcXAICApo1a/bmm28WPSrbtkpISJg6dWqTJk18fHy8vb0bNWr01ltvXb9+vehT/v333wcPHty8eXNfX99y5cqFh4ePHj367NmzRW9lVfv27YUQKSkp+/btMx3Vjh07hBDNmjWzYZ8aG57c/Pz8L7744rHHHqtUqZKLi0uVKlX69Onz/fffG41Gq/3v9LK3b99eUZTHH39cCPHnn3926NDB29vbzc3Nw8MjLCxszJgxRQyvJMf6/PPPq1SpUq5cOblh+/btV61apfXctm1b3759K1as6OrqWqdOnUGDBp0+fdpyh0W/1G242qX4QgIAAAAAAAD+h6qqqqp+/PHH8uHkyZPVYqtVq5YQokWLFvLhqVOn5E6aN29utX92draXl5cQwtvbOysrSzbm5OSMGDHC6th0Ot3bb79tuZ+GDRsKIWrVqlXEYKR27doJIYKDgxMTE62mqM7Ozhs2bLA8RExMTJMmTayOysXFZd68eVZP0Lat1qxZIy+LmcDAwN9//12ebMOGDU030ev13bp1K+yizZgxw+qBinDz5s3AwEAhRP369TMzM1VVTU5OllfM0dHx5MmTd7pDyYYnV1XVs2fP1q1b1+pWLVq0iI+PN+tvw2WXL4w+ffps3brVxcXFcsNSfGFox3r11Vetbvjaa68ZjcYXX3zRcpWjo+OmTZvMdmj1pW7b1S71FxIAAAAAAABgqkQ1oM00aNCgUaNGJ0+ePHr0aGxsbEhIiFmHLVu2ZGRkCCGeeeYZNzc32Tho0KCoqCghhJOTU+fOnRs1apSbm/vXX3/98ccfBoNhxowZCQkJy5cvL8nAcnJyevXqFR0d3bBhwx49etStWzc2NnbFihXx8fF5eXkjR45s06ZNhQoVtP63bt1q3759fHy8EMLT07N169bNmjVLSEg4ePDg+fPnc3NzJ0yY4OLi8sILL5gexbattm3bNmTIEDmx18/P75FHHqlbt+7x48cPHjyYkpLyxBNPyCIYplRVffbZZ3/55RchhLe3d79+/UJCQrKzsw8fPrxnzx6DwfDOO+80bdq0T58+xb9Efn5+CxcuHDJkyN9///3ss8+OGzdu5MiRV65ccXNzW7t2rQzBbWDDk5uYmNihQ4ekpCQhRFBQULt27erUqXP58uWoqKj09PQ///yzS5cuf/31l/b6se2yS/Hx8REREbm5ufXr1+/Zs2e9evUuX778zTffaC+MRx55JCgoSOtfkmPt3bt38+bNiqIMGDCgQ4cOeXl569evP3DggBBi/vz5J06c2LVrl5eX17Bhw8LCwuLj45cvX56YmFhQUDBu3LiLFy9aTclLeLXt8UICAAAAAAAA/ofMoUtlBrSqqrNnz5b7+eSTTyz7Dxw4UK49cOCAbJF5mRCiefPmp0+fNu28c+fOypUry7VbtmwxXXWnM6ClF154IS8vT1uVmZmpTWX98ccfTbeaMmWKbA8LC7t06ZLWbjQaZ86c6eDgIIQICAhIS0sr4VYFBQX16tWTW/Xq1Ss1NVVbFRsbW79+fW3wpjOgT5w4IRubNWtmuomqqlq82Lt3b/XOjRs3zvS1ER4efvz4cRv2I9n25I4dO1a2P/nkk3q9XmtPSUmRdUKEEB9++KHWbtuTZfbCyM3N1Vbp9fqmTZvKVStXrjTdqoTHcnNz27Fjh9ZuMBj69u2rDSM0NPTChQva2uTk5PLly8tVx44dM92h1Ze6DVfbfi8kAAAAAAAAQCrlAForqdymTRuzzhkZGXLWat26dWVLbm6u3IO/v79lXQVVVXfv3i3videsWTPTdhsCaMt6BapJZjdt2jStMS4uztXVVQjh6+trlspJkyZNsrxWtm21bNky7XIZDAazTW7evOnn52cZQC9dulQ2fvvtt5YHqlq1qqenZ82aNS1XFS0mJqZ79+5aHtqqVSvLIRWfbU/umTNndDqdTHiNRqPZJteuXXNychImNV5su+yqyQujZcuWlgfasmWLXDtx4kStseTHmjt3rtkmphW3f//9d7O177zzjly1Zs0a03bLl7ptV9tOLyQAAAAAAABAU6KbEFqqXr16eHi4EOLAgQPXrl0zXRUZGZmdnS2EeO6552TLtm3bLly4IIR4+eWXtRmaph599FE56fWvv/5KSUkpycDefvtty0ZtinFubq7WuHr16pycHCHEq6++6uvra7nVpEmTZJL+9ddfl3Crr776Si7Mnj1bzp815efnZ7WYg0ZePTOXL1/OyMiwuqoICxcubNCgwfbt2wMDA1u1aiWEOHz48OLFi7UOer3+6tWrqqoWc4e2PbmLFy82GAxCiClTpsjA1FRQUNDTTz9dt27d/Px8WbTEtstu6t1337U8UOPGjeVCyV8Ypp599lmzltq1a2sLHTp0MFurFcKWxy1CCd9KpfhCAgAAAAAAAEyVcgAthBg8eLAQQlXVDRs2mLavWbNGCKHT6YYNGyZb/vjjD7nQqVOnwvYm74Onqmp0dHRJRvXII49YNsoJrWYOHjwoF5588kmru6pQoUKbNm2EEElJSTExMTZvlZubK0+qcuXKHTt2tLrV8OHDLRtbt24t0+pZs2aNHTv28OHDMo212aRJk1555ZWsrKzHHnvs5MmTP//8c/Xq1YUQr7322rZt22Sfbdu2BQcHe3p67t+/vzj7tO3JlTOCFUUxrU1hauXKlWfOnDl+/Li8ArY9WaZatGhh2agVmDZVwmP5+fmZ1hk3O5DVKttWh2GVbVe71F9IAAAAAAAAgJnSD6AHDRokU63169drjampqfJeZz169NDu6hYXFycXOnXqpBTi008/lX2Sk5NtHpKXl1e5cuWK2fnq1atyQYawVmmrtFneNmyVnJxcUFAghAgNDS1sk5CQEMuZ0Y0bN54xY4aiKEajcfny5eHh4f7+/j169Hj33Xf3799/pxni4sWLP/nkEyHEU089tXXr1ooVK/r7+2/cuNHd3d1gMDzzzDNnzpwRQvzzzz9CiKysrKpVqxZnt7Y9ubGxsUKIChUqWP1swJJtT5bG09NTq7Ns72PJ0iKFcXd3L+YwrLLtapfuCwkAAAAAAACwVPoBdFBQkJzPu3fvXi3q+umnn/Ly8oRJ/Q0hRHp6evF3a1oM4U75+PgUv3NGRoYQwsPDw8vLq7A+WpWDtLQ0m7fSzshqzQTJycnJ6tpp06YdOHCgZ8+eLi4uQoj09PTt27e/9957bdu2DQoKmj17trzat5WTk/P+++8LIapVq7Zy5UpHR0fZ3rhxY1lHIj09vU+fPjdu3JAT2L28vIKDg4uzZ9ueXHllirggZmx7sjTFjLlL5Vh2ZfNbqbReSAAAAAAAAIBVjvbY6eDBg3/99VeDwbBx48YxY8aI/9bfCAgIePzxx7VuWpC3fft2y+oEZoqZe5acHFVmZqZer/f09LTaJzExUS5oHWzYqkqVKjqdzmAwWM6WNVVY8h4eHr5169bMzMzdu3fv2bNn//79R48ezc3NTUpKmjZt2rZt23799deiZ90KIc6ePStHNWrUKBlBap5++umjR49+9NFHly5datu27blz54QQXbt2LXqHGtueXHd398zMzBs3btzRUe70ybLN3TzWnSrJW6lUXkgAAAAAAACAVXYJoAcMGDB+/Pj8/Px169aNGTMmKSlp9+7dQoihQ4c6Oztr3bTpon5+fk2aNLHHSGygVQiJiYlp1KiR1T4XL14062zDVs7OzlWqVImNjZXVLaxKS0tLSkoqYrQeHh6PP/64jPUzMzMjIyPfeOONq1ev7t2799tvvx05cmQR2wohrly5YjZ+U3PmzDl27NiOHTtk+iyEeOONN4reoca2J7dixYoXL168cuVKQUGBNh3bVFJSUkJCghAiNDTU3d3dtifLNnfzWHeq5G+lEr6QAAAAAAAAAKtKvwSHEMLf379bt25CiF9//TU1NXXdunUGg0H8b/0NIUTr1q3lwq5duwrb1bx581566aXXX39dVVV7DNWSdrvCqKgoqx1u3Lgh70fn7++vlW+2batatWoJIeLj47WbyJn5+eefLRuXLl364Ycfzp8/36zdw8NjyJAh3377rXx4+PBhq/s0peWkp0+ftlyr0+nWrFlTrVo1+bBjx45W7+VolW1PrryJn8FgkJ9YWHr11VfDwsKaNm2amZkpbL3strmbx7pTtl3tUnwhAQAAAAAAAFbZJYAWQgwePFgIkZ+fHxUVJetvhIWFhYWFmfbp3bu3DEDnz58fHx9vuZOjR49OmjRp0aJF8fHxiqLYaahmBg8eLItRfPLJJ7du3bLsMHfuXL1eL4QYPny4Nirbtnr22WflwtSpUy0T9vz8/OnTp1vuasOGDZMnT54wYUJMTIzlWu12dn5+frc92YYNG8rqCqtWrbI61Xrfvn3Xr1+XywUFBfn5+bfdp2Tbk6t9RPHee+9ZbpKcnLx161YhRIMGDeRdJW277La5m8e6U7Zd7VJ8IQEAAAAAAABW2SuA7tevn5ubmxBi0aJFcnqv2fRnIYSHh8esWbOEEElJSa1btz558qTp2hMnTvTt21fGsqNHj7bTOC2FhIS8/PLLQojU1NTOnTvHxcVpq1RV/eCDDz7++GMhREBAwNtvv13CrYYOHdqwYUMhxN69e/v162d6K7nk5OTu3btrJR1MtWjRQi689NJLZuWS09PTJ0+eLJfbtWt325N1dXV97LHH5OH69+9vOuz8/PyZM2f2798/JydH3qxv3759EyZMuO0+Jdue3EcffbRfv35CiP379z/77LPZ2dmmpxYRESEv0aBBg2SjbZfdNnfzWHfKtqtdii8kAAAAAAAAwCrzMrtbt25NSUkpeptFixaZ3bDOkqenZ58+fdauXfvnn38KIZydnYcMGWLZbfjw4cuWLTt06FB8fHzLli179uzZuHFjg8Fw7Nixn3/+2Wg0CiGmTp3apUuXOzinEps2bdr333+fkJBw9OjRRo0atW/fvmnTpomJifv37//7779ln9mzZ/v6+pZwKwcHh48++qh3795Go3HTpk01a9Zs06ZNvXr1zpw5s3fv3rS0NC8vrw4dOmzZssX0QC+99NJXX32VlJS0ZcuWmjVrdu/evVatWo6OjhcuXIiKipKTcHv06NGjR4/inOyyZcsaNWp069atffv2NWjQoGvXrvXr109OTt60aZO8pV5AQMDWrVvnzZv3448/Llq0qHnz5iNGjCjOnm17cj/66KOdO3dmZmauXLnyt99+a9++fZ06deLj4yMjI+Uc7VatWk2ZMqWET5Zt7uax7pQNV7t0X0gAAAAAAACAFaqqqqoqJ28Wk16vl1vJEsYtWrRQrdmwYYO2yYABA6z2UVU1LS2te/fuVg/k7Oz8+uuvG41Gs03krOFatWqZNlodjJy8GRwcbPXQWrGCSZMmma26ePGiPIolV1fXhQsXWt2hbVutXr3a09PTcpOAgIBdu3bJiagNGzY03WTXrl2BgYGFPUE9evS4deuW1WNZtXPnTq3Qs5lmzZr9888/qqpeu3bNx8dHnsiRI0eKuWcbnlxVVQ8ePBgcHGx1q06dOsXGxpr1t+GyyxdGYGCg1WFrn8G8+OKLdj2WDHmFEBEREZZrN27cKNeuWLHCtL2w950NV7t0X0gAAAAAAACAGfMZ0KWoV69ePj4+smaCZf0NjY+Pz7Zt237++edVq1bJisNeXl61a9cOCwubOHFiSEiI/UZYhBo1ahw7dmzVqlXr1q2Ljo5OTk52d3cPCQnp3r37Cy+8ULVq1VLcavDgwR07dly0aNGWLVsuX76cn58fHBzct2/fV199tXLlyjt27LDcpHPnzrGxsUuWLNmxY8fly5evXLni4+NTvXr1unXr/utf/2rZsuUdnWyXLl3+/vvv+fPn79u37/Tp0ykpKVWqVKlfv/7o0aN79uwpSwYHBQXNmjXrxRdfzMnJefLJJ48ePVq+fPnb7tm2Jzc8PPzcuXPLli3buHHjmTNnMjIyatWqVbdu3YEDBz799NOW/W277La5m8e6UzZc7dJ9IQEAAAAAAABmFNXi3ncAAAAAAAAAAJScvW5CCAAAAAAAAAB4yBFAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgF45lPQAAAAAAwL3CYDCoqlrWowAAAP9Pp9MpilLWo7AdATQAAAAA4D8+++yz8+fPl/UobkOLyO/rv8YlVVUfjLOQCw/MuTwwJyIelHN5MM5CLjwY5/JgnIVcuC/OZdKkSTVq1CjrUdiOABoAAAAA8B9nz569ePFizZo1y3ogRSkoKJDBgZOTU1mPpaTy8/N1Op2Dw/1dHtNoNBoMBiGEo6PjfRHlFEF+CcDR8b5PS/Lz84UQDg4OOp2urMdSUvn5+Q/Am/1B+sFVUFDg4ODwwPzgusd/CBuNxujoaL1eX9YDKZH7/kcqAAAAAKAUNWvWbM6cOWU9iqLcvHnTaDQqiuLr63tfh2uqqt64ccPDw8PNza2sx1Ii2dnZmZmZQggfH5/7PVzT6/UGg8HHx6esB1JSN27cUFXVxcXFy8urrMdSIgaDITU11c/P775+swsh0tPT5acCAQEB9/XnNEajMT093cXFxd3dvazHUiKZmZnZ2dlCCC8vLxcXl7IeTqFycnI6dOhQ1qMoKQJoAAAAAMD/UxTlXp4LpqqqNrz7fQqe0Wh0+K+yHkuJaK+Ze/zFUxyKojwAZyH+eyIPwLnIt/z9/jaRNSt4m9xTtBfVPX4u9/XHFZp79/oCAAAAAAAAAO5rBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAAAAAAAAB2QQANAAAAAAAAALALAmgAAAAAAAAAgF0QQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBeOZT0AAAAAAAAAACgFV+LTr6dk3rZbTk5Obm6uv69rvTqed2FUD7kHM4Du27evXPjhhx88PDwK6/bPP/9MnDhRLkdFRdl1JNr+n3jiCaPRKIQYPHjw4MGDC+t2jxg/fvyVK1eEEF26dHnllVfKejgAAAAAAABAoTZsPvvD+lPF7PxYp6rT6gTZdTwQlOAAAAAAAAAAANjJgzkDupicnJyCgu72pxyVKlUyGAxCCC8vr7t8aAAAAAAAAAC4mx7qADokJGTZsmV3+aBLliy5y0cEAAAAAAAAgDLxUAfQKSkpmzdvlssjRozIzc394Ycf5MNhw4bpdDqt586dO+Pj44UQiqIMHz5ca4+Kivr1119jYmIqVKjQsmXL0aNH3/ag3333nawBHRYWFhYWZtmhoKBg4cKFhw4dcnV1bd++fWH73LVr165du86ePevq6tqwYcOBAwfWrl3bas+srKwvv/zyr7/+Sk1NrVq1avPmzU1PwVRmZuZnn312+PBhf3//Xr169e/fv7CzuHbt2vfff3/8+PHs7OwqVao0bdp0xIgRtz13AAAAAAAAAA+VhzqATk1N3bBhg1weMWKEs7Oz9rBt27ahoaFaz2+++SYjI0MIER4eLlvy8/MHDBigdUhISIiKioqKinrppZcee+yxIg66YcMGGUC7uLhYBtB5eXkDBw6Uy9nZ2VFRUZs2bYqMjDTtc+vWrWHDhqmqKh/q9fqDBw8ePHjQy8tr5cqVDg7/U9d78uTJf//9t/YwNjY2NjZ2/fr1Y8eO7d27t2nPzZs3L1++XC4nJSWtWLFi06ZN7u7ulqfwr3/96+rVq9rDmJiYmJiYDRs23PbcAQAAAAAAADxUuAnh/1MU5ZFHHpHLkydPNl0l02chxJQpU+SCafps6rPPPjt37pzNY9DSZ42qqhMmTDB9GBERoaXPZoM0m7M8depU0/TZ1LJly44ePao9jIuL09JnzY0bN65cuWLWOHfuXNP02dRnn32m1+utrgIAAAAAAADszcFBcXHR3f4/Z52Ls4POQSnr8T4UHuoZ0JbGjBlz8OBBIUR+fr7WqGW4Op1Ozi+eM2eObAkMDPz666/l8ty5c//44w8hxOuvvx4VFWXzGCIjIxVFEUIMHTpUBt8XLlzQ1vbr109bXrdunbOzsxDi0qVLr776qhDCaDTu2bOnQ4cOQoisrKxTp07Jnu3bt3/99dfl8oABA+TZvffee3Kcqqq++OKLcq2jo+P69esVRVFVtX///vJ+iabkOQoh3n///caNG8vlgQMH5uXlCSG++eabl156yeZzBwAAAAAAAGymGozGPPM4q7C+RoPRvqOBEIIZ0GbKlSunLRcUFMiFn376SS707NlTLhw4cEAufPnll1r/N954Q1tOS0uzbQA//PCDTJ+FEFq0bdW7774r02chRI0aNbp06SKXP/74Y7mwdOlSueDo6Kilz0KI9evXa8tygrNp2r5q1So5AEVRvvvuuyIGYDoPesWKFRERERERETVq1Cj6BAEAAAAAAAA7MRjUnJyC4v1nMBRYqTGAUscMaHN9+/aV84InTpy4YMECIcShQ4fkqueff14IYVr+Ytu2bVZ3Eh0d3blzZxuO7uHhoS27uLiYrTWdj9ysWTPTVcOHD9+1a5dpy549e+RCEbcHPH78eJUqVY4cOaK1uLm5acteXl6Wm7i6uubk5AghPv/8888//7xy5coDBw7s3LnzoEGDCj0rAAAAAAAAAA8lAmhzQ4cOlQF0TEyMECI7O9usg2mZY22WsZkbN27YY2zXrl0rbJWvr69Zi7zVoRCia9euZqsqVaokd3X+/HkhxO7du2V7vXr1zHoGBQUlJCSYtsybN++FF17QHl69enXBggULFizQ6XSjRo3q06dP8U8HAAAAAAAAwIONEhzm3NzcdDqd9lCbR2x2W8KiWZZOLhWmAys+yzsWmg1Pm2ptOWzLbYODgyMjI6dNm2a5z+XLl3/xxRc2jBAAAAAAAADAA4kZ0Fb07t1bToL+8ssvt27dKhvDw8Plgqenp9azJDcbtEFQUFBhq5KTk81aHBwc5CTodevWDR8+3HTV9evX5UKdOnWEED179pS3FpQTok0lJiZaHktRlPDw8KioKFVV4+PjX3zxRS2n3rRp05gxY+7opAAAAAAAAAA8qJgBbcXo0aPlwu7du+WtCHU6nTb7WLtJoDApcyEd+y/TMh2lyPTQO3fuNF21cOFCs87dunWTC9pNFCXLQtKmlTfS09O1ZcuKH7GxsRs3bty4ceOWLVvkeKpUqRIZGRkZGXnnZwMAAAAAAADgAfeAz4AePHiw1fbXXnvt0UcfLWJDLy+vjIwMLUd+6623TNe2a9dOThmOiIhYtWqVzIV/++23efPmyQ72mxldsWJFOSt54cKF1apVCw0NVVV1w4YNx48flx3mzJkjF0aPHi3vkWg0GidMmPDJJ58oiqLX64cOHSo7ODg4yCnVjo7//zIYNmzYt99+6+fnd+3atXHjxpkd3d3d/euvv5bLLVq0qFChglzWCpUAAAAAAAAAZcXL3aleaOBtuxmNRqNq8PFyugtDwgMeQNvshRde+PDDD7WHTZs2NV37xhtv7Nu3T1VVvV7fr18/s20t6yOXomXLlmlHnDhxotlaDw+PBg0ayGVnZ+fu3btv375dCHHhwgXLcX722Wfa8hdffKGVzjCr12GqfPnyLi4uubm5QgirpTaee+65OzodAAAAAAAAoLSkp+eeOmmloqxVIcHedh0MJEpwWNe2bVttOSgoyMHB/EL9+9//trrhnDlztGrR9qAoyrp16yzHI4QIDQ1dvXq1acv48eMjIiKs7mfRokVVqlTRHlaoUOHNN98061O/fn3TPtKaNWusHl0I0bZt2yeffPK2pwAAAAAAAADgIaFot4+DDZKTk7/66qsDBw6EhYU9//zzlSpVMi3TbFe3bt2KioqKjIz08vIaMmRIu3btXF1drfY0GAxnzpz56quvLl261LZt2+eee65cuXJWexYUFPz2229Lly6tUaPG66+/XlhtZp2PAAAgAElEQVQ3IYRerz948GBkZOTly5dDQkKGDBnSrFkzZ2fn0jk3AAAAAGVk3Lhxvr6+H3zwQVkPpFCqqqampsr78fj5+Wl367kfGY3Gmzdvenh4uLm5lfVYSiQrKysrK0sI4e3tfb//YZiRkWEwGHx9fct6ICWVkpIihHB2dvb2vr8neBoMhtTU1Pv9za6qanp6urzNmL+/f2ET++4LRqMxLS3NxcXFw8OjrMdi3Sfz96364VgxO/foVv3ttzoXFqndC7Kzs9u3b//11183bty4rMdiO0pwlEi5cuUmT55cJof29vaOiIgobIKzKZ1O17Bhw/nz59+2p6OjY9euXbt27Xrbnp6ensXsCQAAAAAAAOChdR9/5AIAAAAAAAAAuJcRQAMAAAAAAAAA7IIAGgAAAAAAAABgFwTQAAAAAAAAAAC7IIAGAAAAAAAAANgFATQAAAAAAAAAwC4IoAEAAAAAAAAAdkEADQAAAAAAAACwCwJoAAAAAAAAAIBdEEADAAAAAAAAAOyCABoAAAAAAAAAYBcE0AAAAAAAAAAAuyCABgAAAAAAAADYBQE0AAAAAAAAAMAuCKABAAAAAAAAAHZBAA0AAAAAAAAAsAsCaAAAAAAAAACAXRBAAwAAAAAAAADsggAaAAAAAAAAAGAXBNAAAAAAAAAAALsggAYAAAAAAAAA2AUBNAAAAAAAAADALgigAQAA/o+9+w6Q6yrvh/+cc3uZnZ1tWmnVuyxZcseybGGMjQmG0MIPTP2RQguQAIEkJqQAb/JiQoDXCSGQAIlDMCSmxhiMK8bdlq1u9dWutH132u33nnPeP85qtNoyu+rFz+cfaWfvzNyZnbL7vc98D0IIIYQQQgih0wIDaIQQQgghhBBCCCGEEEKnBQbQCCGEEEIIIYQQQgghhE4LDKARQgghhBBCCCGEEEIInRYYQCOEEEIIIYQQQgghhBA6LTCARgghhBBCCCGEEEIIIXRaYACNEEIIIYQQQgghhBBC6LTAABohhBBCCCGEEEIIIYTQaYEBNEIIIYQQQgghhBBCCKHTAgNohBBCCCGEEEIIIYQQQqeFerZ3ACGE0IkQQoz9knM+9ss0TU/5NRJCxl3p6aYoCqXHHCgd+yUh5EzuDEIIIfQSwTnPsqxarZ7tHamn9puP7/vn9a8E8perOI6zLDvb+3JSavsfhmEcx2d3Z05SmqZCiHP8KTBz5/7TeVryaXK+P9kBgDEm/+N53nl9W4QQnPMkScb9EXruSJLkuLaPouh0/AV9qkRRBBP+5D/vYACNEEJn2dhUt/b/2m8n4/5/JncGjg15z3D6DACMsRO47YqiTPx/7Yac17/qIYQQQmeGEOJM/vpxMhhjF8Cb+/keK8CYXxQ552f+l8ZTSwhxHj0FpnUB3Bb5iLoAnuxjnyZnd09OiXP5oXW8r0Ln+E/knL2fjwsG0AghdHpN/D2jNiFyCn87l2//WZaljAnOOedCAOM8ZZwQQgAoJQod/ZWtWom6ussHDgxXqnFfXzgwGJbLSaWSVqrpxHdeQqClxWhvs5YsaVi3dtYVV8zPN7iqeu6+fcwwu6/9/ipvCyHyfsKEGiGE0EsdpVTTtHw+f7Z3pJ5isSh/s8rlcmOPPZ93hBAjIyOmaVqWdbb35aSEYRgEAQA4jqNp2tnenZPieR5j7Bx/CszE8PAwAGialsvlzva+nBTOebFYPN+f7ABQLpflX4INDQ3n9R8dnPNyuWwYhm3bZ3tfJmcY+nFtb9u2YRinaWdOnty38/oxAxhAI4TQKSFnPeRnkeD0HEHNsiyMoiAME8aLCa+mggHJiJISmhFFkEk7/Wmt69/Owr4Xuu7+wd7e3vC4rlcIGByMBwfjrdtLP/5pF8AzANDebl11ecsHPrC+MX++/jpbS//rf9hKln7IX3Yppef7uz5CCCE0Q+fyW97YQ/i1Q8jnKXlbzvdbMc6FcVsujFshXRi35Xx/mtT5pOl553z4dOlx79g5fFtGnft7WB8G0AghdBxkWCnz5dP06cIsy0rliuf7Ja6UuJIRmgJlRIHR95sjx3Jn+votWv3hO25/dv9+7xTuZF9f+NN7uv/33u6v/sN1l1+2/AQugXO+/2D3kwf8zpEkykSciYyDQkBTQFOISolKgQDoKmmy1WVtZnuDauhGIe/atj22CVoIkWWZ/FkIIVRVPbWTEXWOKMjfAOTOnO+TPgghhBBCCCGE0GmCATRCCB1DRo3Hu2rBiUnTtFgqjZTKVWoUqZURhQMBQgAUgAaQ/54oRTC+68Dtt29J09NVaMU5fOSPH33F9Xs++fFrczl3cHi4WCrHQvEZqWYEAAo6dyjXABRNd2zDsSzDMFRV3bZr/zefqk6a34cZAAiAo9/cP8KePXTMUjYEQKUAABmHSS+EAFAClIJCgABYGml26MKCtrRZtW17VkvBcZyTv/m1NjqYouuDUir7PcYtpYgQQgghhBBCCL10YACNEHrJqU0uywauM9DoL6s5gjDq7uuvCrWoOhmtvfzqoLfWPzcBoCAAwAKW5zHnvEHhhBAKcACcBCg70rMBQijA8wOHP/+550vlFAAIAddRP/yhNevWtsoRaiEEIaQ2NTx2dPfFXcXP/92mLDu+wPqhh/suvWznyNz5AABwTLDbNTbGH2YAHoAHAO1UcXTwTjTkFwD1Q3UBwAQwBrJcI8zESMj2DLFf7QEAD2CgtqWjwVVztQUFbeHctkK+QZZsnKoPN8m1oSeerigKIWTiAokIIYQQQgghhNCFBwNohNCFTGascqiZMXZmFreVpRBxkgxX/MGqX1LsSDVHv6c11zmfAoIBbYSkEVJNsJiqeZFwzuVuq6oaRVGWZaqqJlFm27YQYjGpKIpSEcogUwtRecfmkd17y1km3vH25RvWz37goe4bb5hHCGGMcc6EEGE4vgA6SRJyxIrljd/65vUf/qPfVCrHkQ1TAsm8OZOPIk+hj5tLVrSTwcEX+s7yer5+Cg8dSOFACps65SkEYEUrXdlmrF08q8F1TEM/5QGxPOZRW4sSxjRN41qICCGEEEIIIYQuMBhAI4QuHHIZQMZYbTHA041zHkVxGEVekg0FScghoHqi1JbcNaDuWro5Hs+hsUGO7jYhJIoiIQTV9ZyqekEwdntCiKZplFJd12sL4gkhbBZ3ZL5QxLUb5lx5RbOmaZxz3/eu29AGAEEQTDXlXVtvvXZpCoVvfO3l23cMrlrZTCnt6fG/c+euLVuHp7oJCxc4b/zY1UV+Iu8morX19a2Vn2wNpt/0iD99ZUt3Mb3r+fLbL8+DgP98rnwC1zvNXgG8OMhfHAx/vL1TnrKsWVnQpF+5pLmxwXVs63REw1M1TctImlKKJR4IIYQQQgghhM5TGEAjhM5jWZbJaPU0rQc47ro83/f9oMJgOIUEaEw0RigQAkABdFD0+pXNzRA3QqoCN4gQAIkghjK627KQIYoiTdMcx5Ezy2OnlVVVrYXFcKTTIwzDcTe8Wq3CmALrNE3lqolTqV2FpmmmaXLOoygihCxa6Pi+b9t2vlHnfMr79g/et4KtXFTkJx7IdkLDK9cZT+8sVqcYuV7RplMC1y12fra9OscVADCvoH3yhpY0TSNG18w2bljmEIAfbql0l7JJL0Gl8KqV7jNd4aB3NIV/49rc8lbjh1sqq9uUFe1OnPHeSrZ/KNnaG0fZ+Nu7Z5jtGQ7v33MIACiBjgY6v0lfvzjf0pTPue4J3/aZmHjkQObRhBDZLo0QQgghhBBCCJ3j8M9XhND5gXMuOzTOQNYMAEKI4ZFiqVIZEIZHtJQogsgRVBvgONYGJCCWgmcCI4QkSRLHse66AkhZKA1wTLYoM+gkSWS4rCiKaZqyJpgQIoSQ/Run6eYzxqrVqhyvVhRF1/V//sa2p58ZCMMpKzL++isbO/n0S/m5Cr80zy3Kd1TpihykXAQZHIjU4WQ0tq6A/vorWjbvK27tH39dn7qhuTZu/O4rG7/1ZJFzTinlnGuapqrilotyAPDoPr8UTjnwnnF4tissHXtDfrSlClAFgD2D0HYwee/LCnNcaDPp9UsLMYPDpfSeHd7EJBoAuIDuMu8uR48diAD6KYG8SZY0axsWOXPaW92Ty6OFEAODw14QEEIVqqgq1VRFUxXLsgzDqA28T2zwkKPxp7C9GiGEEEIIIYQQOlUwgEYInaPkdPOZiZsBoFgs9g4MlBVnRHUEECAEQAFaOIGLWkvKACAEEAJySNljDAAIIa7rEkLiOFaSRNg2KIqcWZZs25ZLAhJCEsb/++7dP/1Z979+/XrH0ZIkqT/LfJI454Zh6LoOAL//gYc9r951EQK/96WbO/nkpRDrC1nD6HuLGN2cgBBkdYMIw5AxZgCstfR+w9pRpQDQbohtVYW2tb42P/y/u4+53tsfHK3+0CgAwNsuzVNKb39wSAjIm3RRk7a1N/6TG1pshVfjeo0rAx4DgI68+n8uafjWU6VyxMd99wsPDFka+ejGZgCwKCxu1v7gSsu2bZDD5gL+/qHJS0i4gGIonj2UPHsoASgCAAFY266sX2AsWThfXsJM3P6jFw6XORPTNGnLdLnBJEsKymUdamM+39Hequu6EGLcaoeKoshjCTPcAYQQQgghhBBC6DTBABohdPbJ7uYsy85AcbO8ojCKuweGfKEMKw6jMqSjYLbXOR8AHAkAAQDmg99IRkdQt4kGAOBHNjgo7AUkABCcC8Mw0jSllGqaVksDZVbIGFMUJZfLAYAQ0Mv1ahzrsb91c3njdbN1hb7tLSve9PpFSRJVq9EpvhcmkCO0P/7pvief6q+fPgPAp7+08RBMWUn8TEm5sZXFcawoCmPMMIwoiuQAL1cN1VA0AoMJ2VGlFESrIUYSIoAAQLfRfOul5Sc74+4yz459IKQcAODOMY3P5Yi/0BMDwBceGJrhbTxczr78yEibO3kmG6aidlGOBhuXuqtNTgjhjGVZ9qevbBm7cTViv94fdBXTSjT+ESsANvexzX0BPPUiAORNcuMSbfXiOU35nDy6IJUqlb/84V52nIdX5OblSGzqzTb1ZgARQL/8lqnCmlnq4iZ1dku+o61JU1VVVWrN0ZRSWdmBU9IIIYQQQgghhM4wDKARQmcBH+MMXF0cx0EYdZeqFUbLijVapqHWm26mgucgK0DcQEf38JAwR8BQgK8kngKCc+4HoW3bhJDVUBZCAKXbRP5iKBMCSZLoui6TPsMwhBBBEKiqyjmvNSfIOJJznjGuqUqbCJjCMp1ccXlDEPin9Q4Zx3Gcp5/pv/QS/TeP9x06NM2SgK/5rY5DUK95IxOECzAMIwgCOQJsmma1WnVd19UVAHiiqFRSAgDrm9jBgGgEasn+jizfMBdWz4V5SvDozko5PiW37xgD3pSlIjV+Cvfu9O7defSUZifsyGsFi9g0m9PkNNl04zzQFtuGYZTC7BtPlFe3G/uGkjgbP7FfjsTd25O7t3cCgEZhTbs6v2CsW9z65M7Dx5s+1xdl8Ozh7NnDx6TSrg5Lm7U2hy6Zne9oyTm2JYfcAUBRFLnCIebRCCGEEEIIIYROKwygEUJniBxwPjOJc5IkpXJlIExHUvAUgxMFAIDk6r/mFeJyg6nlIRUCyJEB35LQQqAeqCGoBMQS8IkQQIBSKkxHZneEkB6wfKECiC5hzYZQ1/UEiH6kUCFNUxk9m6ZpWZYQEHPxzPP9d965+44vb1SE8DxPzgufxjtlCjJDv+zS5jQT1erk6/iNteKy9uJ029w3qLbqnIJ7qc0BQBY3E0LuG1CubGSXO6Gu6yMJPFckkZh8Hrmb2cuXG/v3Dg2HZ6iDpb5hnwnOt/TInSmpFN54ccN8R3t4b9BbTgCgyVZu2lCoRvzfnipNdSEph+d7sud7sp9sP0MHGLwEXuhNAQD2DgAMAICtweIm5aI57vLZDS1NjbWhbEppbUoaIYQQQgghhBA6hfBPTYTQaSHzVtmtcWaucaRY7KuGfZkaU5URBUAD0CZ9kVNAtEKUg0wHTkHICdBdmVU08vOgzAT4oBSFXgFNB7GCVB0gQ8IAAAGkE+wEqCWYG1VcU/cEUBDVTHRoEQCMCK1AUt/3qGnqY7I8TdM0XT8krCJorcHwP//9Jk1VPnPbFZetbWGMyyIOzrnvn9HBZykIAtd1dV3//N89XS4n027fs69oNbdNu9lgQgFglyeW2cz3fVVVD/iEA3SGdI1NACBkU6bPUgLK/KWtTtdQV/lUHrRQKLDpLm9uAzlUOeZxmzfpWy/L7+mt3r8/A4CMw39vrlw21xyoZofKrNkiGqS6Ytk0+fjGvKZpPSNBU8786q9HTuGenxgCx/RKByls62fb+svwfBmg29agzaHrF+cWtrpz2ltr4/myP1oeNjgru40QQgghhBBC6IKBATRC6JTJsqwWYJ0ZnPP9B7u6hB1SXRAK4MBkkSYB0Q5RAVKFiFqcJoTIyGj98xaRb1HixVABgO2QB4AOCOZAtBMaMgEUxEpRJoQeyLSlaiznuDVLywRnAAYRlgYAkCSJFleF4wCAcmR1QdM0NU3rB2NAWLP8/js++eRn/nzN7t2Vm2+aJzfzPO+0301TcF0XAMJw9Ee2e0+57uajrrxslmoHLwQzWl7vQKB0hXRDIWcqYv8QBSD9MemPLYPwWFAAyNO0zLWpzs6BNs1vfVs7ndXabFkmAQjC6MDhgX98ZGAm1z5Rk62853IHABRV+8YTxYkNztK49BkAyhH/5hPFcc3UO/vj37vcZIxqmjYSq//46MhHNjZzzsMwbNA5T6OPXdegqFqUCY0SAUIISJggAF97bNoh8hN343Jn3RzzSw+PrppY//hPkEJniXduKgOUAQ5rChQs+uoV9tK5rc1NRztqZB6NSxoihBBCCCGEEDoBGEAjhE6QHG2W5RJn8no551XP2983dFhvAkKATlnlnOfhAuWYkd5MgEpACME5VxSFZ2yv0rCQ+GvJaPa6RTTU/i+EWEvKctFCRdU6hb0AygxUVVFkzk5BEICdwm2AjAM0aQrX7F1gd5CIEJLL5XqEeQAMEABCdN676W+/tx8APnXb8wDwnnctz7JMURTXdbNMhGHmuiohJAiCM3Z/ep7nuq5ta5VK8v4/fGQmZ7nz2zcuWbIAAK4C2LZrzxNVW8A0E7JMkF+PjH+vkekzANRJnyUB5Jd9/D1txNB1ANB1fV3OVR8dyGZ8J83LK2+/oiAfrkmSxHEMAI6qvv0S++tPzij9NxQQAMmEfpQwFfftid94SRMAzDHFRzY2+zGzdWpZVhzHSZIwxiCOAaDWZU0AKKVyShoANnWHD+71p53IrmNpi/7mdQ1ezBSRWaZxYDh5rjt8dF+gEBjXMf2pG5pvf3C4/qWlDAY8/h/PefCcB3Agp8Ob1lhrVy42dJ1znqajq1OqqirDaJyPRgghhBBCCCE0LQygEULHQQjBGDvDY85SGEZdgyO9KfVUCwDAaJ72LBHVA8FscjQ4VAmEYZhlmWVZAKCrdGFWStNUtSwA2CXcDhHUAlVCiBCCEKKqKiHQAWGqGpZIq56fy+UAgBKoCHUlVOXdAgAq56uMbIs9u1GkJRiNVg2W/MdnH9y3/5is8+3vfmDc3ra0GOtf1nLrW1eeySIO3/cdx/nB3ftmWJQi02dpzYplqxi7f8ehg/E0IfJJIz/f0XPr1SvkF5TSv3vLqk9+f2f980iaArde3iin0QFAJv47++OfPX0c5Rgxg468umGR/YMXKrUTX7VUfbKbvWFdQbbNyFwbALwE4MgKk5PinEdRFEURAKydbV06t5kQctem8sFiOvNdqrlqvgUArqEIoXDOFxTUeXlHri4oNxj0slZXfbYrfHhvsLxVH/azYsj5zH7c1QT+fVMIm7arFG5eZly3dqHr2ISQsZ91wLIOhBBCCCGEEEL1YQCNEKqnXKmGYSiEYFzkHMswjDN57UKIUrmyb7g6oDhcNmwcz4tWDMog6AsgHHuiZVkyVmaMUUqZoieKqQnWD0YMSokYzZABQCpAI5BlGWPMMEwmQBNZ4vuJpgFALdDUVDXgnHNOCHEcB4DsEw4A1NLnprj0J79//0z2dmgofv3r5p+xcF9m6ADQfcj7/feu2ru33HmwWv8sDQ3jQ1VFUW6+eEGpXH68s3go1WC6aegTVsyULMtqS+Q1NRVWz1K3909/X73nysaxX9q2/YUHhk5gBw6Xsy090csXqo90jl7p4Yr44LXNaZrKKHmc2rBwfWE4+uB8/SqdUfeffnPc1Rz/teloccrqdmNhk7a0RSecp2lqmiYAtLoqAHQ0kHKsXj7PbDCP1mhsOhT+ateMjnZkHO7ZFd+za5dK4ZVLzZsuW2xZpvzW2JVFKaXlqscYK+QbzvBrBUIIIYQQQgihcxYG0Aih8Uql8oGeoft3DO8fycbVDhgKfHBj27KFcyeeK47j0KvESUyTquodVIMehYU6q2hZlRMtURtCY1bj5e+c4T4MDA7trSQlxeREATU36TbNzC8oQiVcE0IOX+4RTgOk/WDVtklhtOohBlISugeqDwoAAQFHvnNUIS4XjQYA2CXcRcQ/LAxFNXxV9UFpgqRAUsNt0IAbpikAmIAMqABiA0uBlEDfD8bEBJZG4firmcLiRQ0yHJ/h9ifDNE3GmBxZ/Z+79zz1zPSZLKXkK1/aMOm3GvP516zLR1H8zL6eneH0sePNrdkDQ0omjiOtvrZNUdVj3rDee8OKT35v+7R31r8+WfrTV7YYhhHHsRx7P2EayR7pPFqWETECAHIByVqzxwnLsiyXs25Y5lw53wpT/t1ny8MBszUIjmcqentfvL1vdDcaTPq2y7SnOoPNPTEAaBReudz9ztOlMBUAYKjE1qifHHf3R8bhl7ujX+7e8brVzs1XLh839fz05p3ffnY00S5YZFmLftPqlo457RhGI4QQQgghhNBLGQbQCCEAgFK5vLuz555t5X6Pp5OlUpTATUv1K5a1z25rBoAwDItDvTQYbCw+Y6TDGvN0YJPnxAAgIiOpusnhvucdfemNrutO+ml9IURv/8D+QJSpIYgG6pQlBgVIOiCMkoAxxo4U7OZyuTnBgO04/cKsBcEBqFtEXv4/D0kekiYQ3eDIUyyRziWRAZwSAACu8xwETMDirMgYa6WxrutMxHuYpSucgiAEEqHsFm5OZCbJIlCaIT0IdgIkmuLldCg/+yMfXnXHP07TFzF/vvNXf3GJLGeov+UJk6UQnHPGmKqqhJAdO4f/3y++kEyXQm68dtayazq2FuFrT1XoU88XLHLjMnv92qWUHhPhm6Zx3epFyZZ9+5Jpct5fDh7fW88aK5zT3D7uxEJj/kPXNf3To9M3afgJ57KIOY7HpdjHZWv/0TuKAKxsM7f0RCbNWl2t4Bq6rnPOT6Y+xfO8xc0mAFga/f31BQDoraQ/eL6SMHH5PKsUslLIigGrlV+/fqW2siO/fzh5eI8/6I8vqK5E/Gfbqm9e2/DqVbkvPDCUctjSE310Y/PhYtTWYEQp769mjx0I+6onOHH/s+3+i31bX7bIbsvps9tabNsGgCsuXrGoo/T1hzp7KrwYiqe746e7DwMcdnRY2qy/cmV++ZKFdcpJEEIIIYQQQghdkDCARuilKwzDLTt237XZr8Yw1STpihbllStyCzpmDfd1qUF/256faDuLBLgOkD/OqyMAs8uPwnOPCoCSsaTiLA+tuYuXrQKArkM9+2PqKSYQE5QpL2E++HnIOGdBEIzN+VRVNU1TCOE4zovCHTuGnINsIchthRCCUiorMnRgK4mXpAljjJgmAMmAUADFKwYAuq4bhlEEzRFMB7FEVAgjiqIQIAL4krCPMZbL5YIgYIw1A5imuVNtnqqAInfVRX/57ys+939/PNVws6aRz/z5xYZh1Jo9Ti3XdWHMenFyyDoI0s/+P5vqnIsQ+MLfXXb3PggEbD4S83KA4VB8f4v//S2b33WJdeXalePOdcPFi5Mtnd3pqZx43RZa23aWAUptarq+w10wb3QA/7I1K/XHH5+4NuA4X/vNyCdvaAH5CJjxgPmnbmgGIEyILz00DAA5k35wQ5Pg/IsPjQDA6ja6erbBGAvDFERSrSaUUsdxXNf1vBktbDiREKLJUe970btphZMkSZIkLoH3XWXLuXjP8wBUSnXHcZKMP7AnyKj6xQeHPnpt/nevLgAA51weEuBcVGL2k61ebyX7x98cDeh7KpmsH7E0/6Mbm3OmsrTVAAAuxM+3V7f3J1Ps15T2DGd7hmUp9hAAUAKaQi6bo25YYIz47IH9Ry/QT2Bzb7K5dxAeGqQELmpVbrqocfXK8QPUCCGEEEIIIYQuSBhAI/QSIoSIk+SFnQce31fePjBlbtdgwFtWpLOUkdmVp01ehh6AHmg6dbtBAPLxAZMVt2lzH9jXF6rW1OXOQge+AHwTeJqmcRx7AIQQTdMMw5CLBMr+2VqStQK8mFBDsDiODcMIgiCiVDOtYTB9oiwS/hLiyyCy6vmu62qaTgiM9gtT6rq5COhhMBeB7yR+kiRGLqeqqhBCZoIg42nLFgBy6lMAjIi69ceEcKB1ks87v30jAMgLP03k/eN5nhDCdd1b31WvlnruXPuW965+rpf9YG+9y7zzhfDh/Zv/5PVrx8aIhJDfWreo+/Dh+3oFm9hyclLISKZ89n+7CHS9dZ298fKLDEP/mzcs+/O799Q/m1xwT4b7tm0XLFoMp6+euOPRkY9ubKZCfPIVTYSQ/mpWCVneUn5nXe6HW6qdJQEAqqpqpiOyOMsyzvnJHz/wfe+mFc7YCDvLMnmx8nMDnufJL6+dC6oqPraxkVIqnwJjh68VgLes0S0rDwD/8vhIOTrmwRemolaErVD4xPXNr13T8No1kDHRVUy6Sll3Ka1G3E9mulahxAXEmXiiKwWo1xvCBWwbYNsGhuHhJwDgNSuMK1d0zG5rxslohBBCCCGEELpQYQCN0GF9VLsAACAASURBVIUvDMND/SOP7+x57GDKpk6UOhrILR3F1enjNhuB0zKJC77a0m+t6c6tHdEbRd3hx0ZI5pJQMJYkSZZl3pGyXQAQQjDGJs6Zuq57ZM1AAwBkH4LjuvuF44MKABdDqXau0TUDCSEyl1eMncIRQNpJ1MLD9mjIY8wwDHmNMvsGAMdx5JCpEIIAqVarqqpalnUY7Po3XBFTxv13fHk9ANQamU8Hz/MsyyKEuK4rhPjEnz5eZ+M1qxvz1y5+rne6uWIAAOiu8F8+s+fVVy0fd/q8jo7f64DfbN+/IzRPfL8nWKhFzwEIgLs2B3dtfnZVq/K6yzt+9wr7W88G9c/4462V166ywzAMguAP1hduf3B42usKU3HnM6VbL3XlOoEOAdd0/79Hhl+7JvfJG1ruen506T9DJaCa8mfHGIvjmLEZ3XWTOjLpPImJp2dZVmfJSvkcsSzrAxua5SX/82PFanxktUAymsszDrc/OPyBawo5gxAQrUbSOguuaFcdxxn3gByoZk93hYdKaTk67uboOn6+K/75rv0A+wsmWb/A2Lh2YVMhryhTfw4CIYQQQgghhND5BgNohC5AQohKpZIkyd7u/v/ZXC1F9eYYlzfTm2b1L0+fs7MhOA39wwJIn71uf8P6kt4YK/oMzzWPhF61SimllNq2nRFVpwIAwjCklE46LOx5nm3bqqrKUWXLskqKvV+M9hHnIGWMyTIKkMmaEARgL7cDogFAQcQdEPje6BypaZqapo2daSWEJEmSpqlc0a4WiAPAYvC6wM6mHvjV2OQzoZ/9yysbGw3OuaIo8sbKadZTRdM0SmmapjJFlTURPT1TxrXNTYa7YXF8PAnqfbv8V181yek9fQMzWZDwuFhwTN66c5Dt/EXXTM445GWEEEVR5BDxJ1/R9HRX9Mi+aWLrnkr20x3Ba5braZoCgOd5H9nYdO9Or93K3rzGlvmsEEKOHmuapuu6HIo/yTLoU0j+3AFAVdUPXNNIKb1/l9ddTK5cYK+ZbfZVsi290c6+uLuUVmN+RYeey+WEEGma1vJu+USIosiC9PoFxLmowDjs6IsqEd/WF5XrvrYcl2Ikfr4r+vmuFwFgUUG5alHDJUvaXNuSdylCCCGEEEIIofMXBtAIXTgYY729vUEQAIAQohrzu7d4pUgsbKSdpfGx5uo25frmwyvSZy1WgnCSSwusBaX8pZE5m1MDABZ1fk3hx9ERERPnYP7l+3NrAsWE45nttSBbSnwCEOeaK0IVQJohNoETEHJMuM6EqbztjuMEursTLDGmFqMZkmHFyUFmipRlWRRFlmWVFEumzx0QNJKUEqrruqqqcgBzXIYogzkAkNPQpmlGUUQpVVXVISIP6TBMmbduvmf7pKf/6KcHPvWJSxgTlIKscZj5HVWfvAlCCE3T+vrCjg43CIJpWw7e/cGLHu0/+uVvrXQHvOy5Q/WOS2TiaPuwlKbpz7f39Gd1a0mmkFf48hwfSmhfRJY4fFuVjr2QQ6UTHC4eDvg/PFJcOct43eocADDG1rTwly1o3tYX37vDq5Ohrmk3hDj6Q/F9/+YVtqIoQogoijRNqx2HyLIsiiL54HRd13XdMAxPZhr61KqNS6+fS69b6Oi6Puhljk5etcLduEAFgCzjaZoQAqqq6rouH+QAEEVRbWHM2oD2ogYgeXL1grwQQlXV/mq2sz95tjvkAhotevMKVwCEKR/w2M6+uBJzlUJ2PA/tA0V2oFj8/qbi61bnLmo3dF1vbm6uHe9BCCGEEEIIIXR+wQAaofOeEGLfgYP3bhncO5zpCgkzkWRibNXG2PR5XbtyfUvviuDXmohq886CqMOFa6rucqbYQChjjDGWJIlKVRFzTctUVT2w8EMtgw8kSr6t9Js6O+Nps/fkb+x25md0mpeXZaKyhzRMPD0EdauoLXAo1pKKjGW5AJn21oY6J+W6bklo3WC3QdjCgh1Kszy9DNo8ElarVRkqO46zgzRyIABwEVQivyovVHY9j7tMXdcnpsMynq6FYu3Md2l2EJyJu6QI9t93H5x4+utuWXDrW5cCgOeljY1GLfI7eYZh6LpeW3PvL/762X//txsURVFVdeu2KdsnGvPao/1H096CTXf0RV2lKUsepFkOGZs+c86/v6UvEMfX59us8SsauTxOkaZps6utcAEA5lpMCJEK8tiIEnOyo79euXB9XMCOvnhHX+zo5F1X5POuK4RY025cPNssh9nXHy/lLVqe0A39o63VT7yi2TRHGzCEEPIgh23bAyGdZ1C5ECWMaSGHI50ntm3LnLpOUcaZxzmXHxEwAUhGokg1TVNO+jPG6j+5xhJC1DZ2CFw5m6yf51JKsyxjLAYA0GG+S66aY2qaJo987OgNClrGBHx3y0wPZf1se/Vn26sNJr1xefX+Xd7NK+yXXbSgUGg83luNEEIIIYQQQugswgAaofOSECLLsk1bdn5/s1+Ox05wTjLNSQAunkVumjW4svoLABA+cGq8OO/Dcm09xhjnXFVV3/cBjpn5lQO/tfisal5l23a5cDkAtIw8OtC4QVGUpfu/woEOmiv3N76812qbdGcpiNkQN5MEAEa4UiCMEIiAmCJbTv09mRkq+rhpWQXEClJRhBAC5GKDMuCbthw2CIJGx8n8wV67dYCaIIRO+Aqoep4n2zRs26aKUswIEA5UAQAuhKzmkB2+srPCcZw0TZMkMU1TzoROLOG1LKu2Y5RSdbI7H4T44h/8dOLJd/3nTTLRZoyZpuCcizrLFB6nOI5VVa0VE//7v90gb/inbnuiq2vyimEA+Min1t174GgCWwx4MZh+bPXdVx/9oQsh7t7cPfP0eaNbGV3IUQj5U5bxLiEkiiK5XiIhRCdwfTPbNMIOnIog10/E1x8vTTz9D64uKJRwAXc8OhxnR38aX3poGAD+eGOBpUf7nYMgaDEUL1arqdag8FrWXyPDWU3TLMs6+cUJTxM51C+f5qfkoiaeKI9myRnqeS6YpqWq6rWLg8cPhFOtcHjDMvvZruh91xTClD9/KNrZH1dj/oudXsrEj7b5P9y2g3NYN1t51cWzli2aP/bgB0IIIYQQQgihcxMG0AidTxhjpUr118/vvXdPwqbLBg0FVrfCTa09S70HBUAaNfW13lx1V3LO4zhmx446znD8VuaDAODpl5IwdF137+I/ZgL2gJuAAiAswVrTcl5XKow0qEdDZc65AMI510OPuK4AMIlYTnwhxGLiUwi3Q54f2XwpVJUkDCcreq4ZW5esaZppmjLO8oWyTTgLbf9iKBFKIkF04LL/V9ZrAMBAkPZZLbWL2k0aLhLlLE0VRbFtO8uyESOfI7FhGIZhCAA4kjKPE4ahPAsAMCD7J44/C3H3538VTehUvus/b5ILG9q2TQg1DOOUVwbXLlCWaHcf8j7150/WP4vHyPwGUoxEdcZVK9cu1Od1zKl9+cstnUU2097n65oyWx2t960N3csvwzCUPwjZ660oCiFwebNyyfpGRVHu2lTuKqYnkNZfOc/aOxQXJ4w5S3//0HB7Tr1usfWhDU0KEQBACCGEdI4kD+72v/Lr4h9e25SzaRiG8pAMYwyYP7vBjTNFAVbrqRjrVMW7Fwx5L61tgZfNa6SUjn1ajR7LIWSwml053wYA11CuW+Jcu9iW3TvyNYpSqmkaIQSy+Lmtu7qKyZJmfdmSBbZlnb5lPBFCCCGEEEIInQwMoBE618kVBbsGSg9t79/cO/0IqKnCJe305S0Dc6PnE705Mjv2tP4RYyxN0yzLYMIY7wnQdV3X9SRJqtWqaZq9aoMjspXUk8GcaqgA4BLGMiErCMadPQgCSqkc4panUEpX29AJjgBQQfigNunGxKFjRVFkjpwK0CnxPE8IIQPKhENGKAjhkGwVGwnDMNa0RHdcwighMt8Mw1BOOrfZWllkIagAYPJkGQ3kFck0uZPkUlBbINFB9AtjFok5EDFZO7PcXk5p94MpJlQeF5LKrt2ViWf80ldeWP+y9s1bh2e1WW96w+LTNCFLCHFd9/v/vfdHPzkw1TZtreaaNY2r18+ugPZ4rwCgANCeh6V58lhXVj/kfcelDS+7eEnty4e37e9KzWn3qkXnVzTyapQ6qgZHJoV1XTcMY+wULedc/j8IglwulyRJ7RjJm9ZYqpqTeSUX8MsX/W190x8+IQSuX2pdM18xTfMLDwzVTr96gXWolBwqMwDoq2b37/LefbnzxOHsusWO7/tCiGYNbl1nGoYBQLb3RvtHsletcESWyI8OyIj8ya50/UKXAFRj3mAq8rl2TjVvnGvGdn3I9RsppXEcJ0liAdSeEPLDB/K4kTwmEYZh7UFCARbmQGR8/759srrdtu3GxkbHcTCMRgiddUKIvXv33nPPPcViMZ/Pv/rVr161ahW+OiGEEELopQkDaITOUUKI4eHhUqnEOR+opt9+ulx/e1OF6xcbF7WbmqbGcRLyBbut+aPFDqcidAYASqlpmgAQhmFtWDWKojaNUUqrR2of4jiuv5iejIPHniKDvFlKSAgxTbPCFUWBLGO2bRNCJn7KPgGlX+iKYzZBrBDRGdM2lfeDsQB8IUBWN4Sg5IARAjLelaG5DMR1yw5BnQ1hC8RMMM8LZXqladp2kbNYOCvz9mn5lCgrocIFEBCEUtkRMXY35L1RCpPuybtHoKo5CiXs2K6BjjnWxz66lhDysqtaFUU5tekzIUTTNFVVKaU/+J99k0bPl6wrrFvXBB2FwZgMh+ADPF2EseUtgwEMBqLRUToc2DYwyTJ61y/SX3f18rFLGo4US7uj6dNnCuKKRg4AOVOTJcKqqso1DNM0NU3TNM3anVw7dCFn9msXEsfx2C+vX0hvXtE4EsJ3nysnY7rP21zlPVc1dhdTADgwkj51MPzO06U3r214au/o0+HaRdaGxU6SJH67+r0XvHdfWUgZb7SUIAg2LnEBgFIqH6i1NHm+C4vyikahP1baGwx53CIIgkvaqOC81+OtjhoEASFE1rOcawXQ56banLiqqq7rjq2iHpvjyxJzeehr7NlrrdYAUK1Wh4aGDMOwLAvXLUQInRmf+9znvvOd71xzzTV33nnn2NMfe+yxm266qfZedtttt/385z9/xStegRk0QgghhF6CMIBG6JzT09Pj+74cBnQc575d/guHJ/l0v6Qp8FvL1Jeze4U963DDtVE0aRPAyZKL2kVRVKvgGKs2kHjCWZuqqoZhEEKClHmeRwF6dLdAQFGV2K/WUqQ0TYUQmqZFnBSpDgBDYAAXbYpnUNEejVDLAgBGKAfQstiP41qaqShKEASO4+iWrRK4WJR83/eEkN/STHu3cDOgimALtWwnNC4FX+UppZQDyRjXVWViR7Pv+7lcrtHSKfiTLj8ogIhji6Hf+54lr7pxkfzjM03TSe/P42JZVq0X+6ln+h/5dW9nZ7VYGj8R/Npb5i67qLAnM0oJSTm8CACT1CAfo5KAn8KKZrprePRwwupWZcOywtJ5baYxvmdjz2Bl2jeUpTZb6h69NxhjpmkmScIYC4KAcx5FkSwMCcNw7CEK3/dd182ybNIHN+c8DEML4EPrXV3XMw53PDqcMhjw2JcfHr710nyDGrfMJtcuav7Gk8WvP1ECgGZb+b2rG33fl0sI5izr/esbkyQWLJMHa6rVqqIo4w6T1Hbb932XQhAcs/RiEAQNFEqhxYTeYolqtUopdRwniiJs4ZghWboy1XcnHriaarMgCIIgKBaLlmXput7W1iY/+oAQQqfDpk2bDh48eMcdd4w90fO8d77znfJtS36MI47jW2655YknnrjkkkvOzo4ihBBCCJ09GEAjdE5gjHV1daVpWourCCGO4+waTCZNnzUKb12jvcy/2+AVEsNQ03VD7rr42Frnkyf3AQA8z5thSfSJkX+bAYCtKUTPMcZoFJi2TQgotj1uRjiO42bXbYaSnO9WVVUQIUenAcD3/Unnr8MwNHL5XqG3Q+h5/tg0WbedHaJB9mcwogyDvjwbiaJId9294M6FAFTd8yafQPd937btPMkmXYCwtGnP2H358AfXXLthdu3Lk8wlFUWxLOsTn3q8p3fyFNuxlc98eu1jw+pgCIMAg8c/B88EpEDeuc5YuXheznXrDG2Vk2k6mSmI2Wr0iwGnTUkua6ZJkui6PnH6u1ZqMS6a9zxPNorUCShrY7AfvqZB1bQvPjiccbjzufKnbmj2fT/O+IKCuq03+dj1zRoFeTky0Awne+JMm3VO+jDLqemPd8Y95exjL2/yfb9arbquK8e6ZaFH/ctEpxDn3Pd93/dLpZLjOJTSjo4O2diOEEKn0L59+5qami699NLaKUKIb3/72wcPHgSA22677fOf/3wURe973/u++93vfvWrX/3Wt76FQ9AIIYQQeqnBABqhsynLMpk7jx35VFXVsiwACFN+385j4jZXg3delF3s/a/OPagCAMRac/e8dwkhwlPUs1HbBzmdWifvO4XGTbbWgm85oDpx+3F7peu6XJesTp2FZVmQJW5YjjWtlgNqmqYZ5nbRMGZD0QipUPWKmzsAhgrcBM6yNJsiOqylkGtJeYfIZXB0KrYh9v72q9tqX972p5cuX+aeqsIN0zS3bS9+4e8fm/itnKt+5I9WP17WQwY/OnSyV3SwAr+7eH5DbpoB0iUu6aw7es+BPFpxGml6adP0f3VnWTZxAFkIUfvBua5LyGgJ+MSzy46OT93QfPuDwwCwZyhZ1uJwzq+YZ7/Yn2zriZYXph+kPTFZlv2fdbm/f7iYHkmnz8wzCNUhhJA/hWq1Klt95s+fb5omBkAIoVOir6/Ptu3m5ubaKZzze++9FwByudxnPvMZ2ct0++23P/zww9u2bRNTrGyMEEIIIXQBwwAaobMgjuPBwUHP85IkObqgFqUydZULbVFKVVWXnbZzGujr5hVXx4+qhMVZa7FlQ9Vdtajzn0v5y4qFl8EUw5gnxjRNRVGiKDqLwZnrumEYzrDQQ9Y3B0FQZ7xU0zS5qJ2ssaaUappeArUT7AkrB5Kd0AAgGiBbA+UsTbxjR7/ln5Fj53PlAo+WZeUgK4I+ulc8+/wf33/0FjnqxWua5Zi2/PnO5KZNSqbzf/HXT+/bN355wxXLG97w7hUPH4YHRo6e2OYoA/4xeaupQpTB7JxiqKSzmBGYdHr7qKd29dx0xfL6e9VcyMOQX3+b9WYx5zqM8TAMTdOsUz+SJMmkw861v9g9z1MURa41J4SI43jiOHmapo5Obr08v3sguX9X8YMbCjZ4H702zzlPklPfy+yOmRCnBHSFJPXPgM44OYcOAC+++KJpmpqmtbe344qFCKGTVC6XXdcduy5CGIb79+8HgNtuu01+PAsAWltbm5qaOjs75coHZ2dfEUIIIYTOEgygETpzoigaGhqSuZtcgW1scOw4jux9JoQYhgFU/dnW4vvWVNrMVOgNkbG4iy+UC7WB4I6/78DCDwKAXPHv5Bc6I4TYti3rdE/yok7eVJOtkxq7TBmldOycrKSqqm4Y1TjLOw4XAgB2aS0Tcuej5kOQ41EURf6xsb7rukmSUEoVRZFpo/x5KYriKeZhbgRk9BWVCP7jLz3ieUd/KP/6L68AgBOrA5YT8fKYBOPKAw8c+u5dT4zbptCov+FD63YU4eHDR0/syClvXuMqlAghvvJ4+beW237ClzRplIClUZVClmWa5n77uUopqncA4zcHo5uuqLeHQRjeu69c/w2lQFPLNCilsuWZUlq/rVz+fT7uyIrnea7ryi4LxpjneZZlUUX5zcEsZypz8lpHgwogGGOqqm46FM3KqU2WsrZVXNGRkyHjaalIP7JvAKBpGqX0YxsbsW3jXCY7uwGgWq0ahmEYRktLSz6fP9v7hRA6L00cAqhWq7t37waAW265pXaioiiKogwPD5/RnUMIIYQQOjdgAI3Qacc57+3tlZN3cGSNrLEb2LbNGOOcG4bhM7UaxHMtQim8/uJ8klhDjIlUQDo6DSoTzCq0wSkqc6i1bdT28Kw74fBOTkPHim6wJAxDy7Jq7dKGrgOIbdBYf9w3B2kjSauTDecSQorUGlDdVemw/HnZtq3r+gFmeoo5NtD+6e0Pbt12dI2/RYtyQgjOuRx/nuGtkxUBMrEFAF3X/+qzz+6dMPUMALNnWyt+Z82O4jEn3rLCXt6ic87TNFNV9W1r3bySaI1aliWCiyg42vfy2pXO9zZX2dQ71WKR7p6+WS1Nuq5P/G4QhndtH86mezdpU2JV1WVkr+t6nSC+9lEAWdc7bkFCmUHXhqPl8ZKNi4zHDwT/tfeYn9rSFv1NF49uGZ2m1TknwPUGzy/ykFsYhpVKxTAM0zSbmpoaGxvP9n4hhM4n7e3tclVh+eYFAD/4wQ+EEB0dHW1tbeM2rq0bjBBCCCH0koIBNEKnUWdnZ5Ikccbv2lQphdksV/udSxrgSP4oR0G7S8l/PVlutsnls+nl6QMLs/5DHW/NFPskixpmwjRNVVWDILhgamrlGnSuqxBVdRyHECrzSiHEHmgAPn7uuR2CVkiSJDEMA46sYledOiAeUFwAommapmlCiB3MyagKx/4t+cPP3/firmNiYsG5HHjXxtRP12GaJudc07Q/+vijA4MRADiO5nmTJ5sdHdaSN64JJ0zAP9EVvdAbv3GlqWkaY8yFkLFJFtbzPK/Jtg2VBOkkO0YBXj6P3L8/++L9vQC9ugKXd+i/feUix7FrZ//+iyUG03+U2KVMjvbLKfI6WzqO88V/eO65TSM33jD7b9/fsw9umvbxmWXZVQtzc5tYHEcLWp0nOsNNh6IDwwmluWl3DCE4MsDoeV6pVLJtW1XVtra2hoaGac+IEEIXXXTRo48++vzzz1977bUAUC6X/+zP/gwAFixYUCgUapulaZplGb6wIIQQQuilCQNohE49IcS2nbu/8dhwMCYWdHTytsvz1WrVsizXdfvKyf9u8d6wMl2TPHPD7O0AAAH0t77qgPtG3/dpFlBKZWAnU8tJW25PmOxAuGBy57FUVQUggSA652HoA0C1WiWErHLIDjj6EftGEc+FwPd9D6AWjKZpOlVALMs91tLKFpHfIvLNIhom5vjcVYhf3fHwuPQZAD7/N1dlWSZzcBmRT3sTbn3X/WNPmSp9JgQue+uagcmOU7zr0pwQoFCSpmmd4V/HcfYOp5Omzzctor/Ynd6//+gpCYMnupInunatn6e+7fo1u/Ye+HXZhBmkzwu1qKXBzrJM7omiKHWCeCHEc5tGAOCvfm/I57MmbhCGYS6XG7ucI2OM8HBBo/GvT6Uf6KBXzxE3Lm8GgO5SNq9xki5phCaSn5+Qba2c876+vie27l+zuH1O+ywsiUYI1XHdddfdd99973jHO97//vevXr36q1/9qnyze9vb3ja2GLpcLlcqldbWVnxJQQghhNBLEAbQCJ1KlWr1nid23b9vkpBxYUEDANOyE3+kEO25zn/6utkA5WO2aRu8D0Q2O+gEoEPNL2e6mQlaPUVVG5LjOEKIOuu/nfvkunNjv5SVDqqqqrrRBfZcEnKvGgoBALquJ0miaVpJqLXxZwo8DykhxHXdTICfZEEQyB6Sqa6Uc04ISdNUvmoOE3P8FkJs/t6Tzzwzvttx/jynVgMy7Ui7XBitUonrb1bz/r+48vmhyb/11cfLjk5eschc2jxJbwbIggtC7t0d7h4en263WJDX+C92jx+XrnmiOys8taNLLUy1wVgmYcsaSBAEcshURvnjfohjcc7b2qyPf3COoe49lKydGB/LEptxqxTKVuj3X1Mo+lmQ6RALDZKCmmL4jGZo3CutaZoLmk2/Wvn+jv5mk62/ZKV7ZPAfIYTG+sM//MMf//jHzz333Kc//enaiVdfffUHPvCBsVlzZ2dnX1/fhg0bMIBGCCGE0EsQBtAInQJxHD+9o/NHz4+U40kytYWN9NI56sJGWig+2Vx8ss7l+Fp76/AjgTV/sOX6SBiRf8paa2trDJ47Rc8nzHEc+cdbEASqqgpVrwgVVAiJNo+EC4XvVT1CiOM4PtENkjHGFEVpoVmPEAAEAC4S5T2QOyhfAAmAAQ2p18Ei13VrIZRpmoyx2tS5pmmc8ziOJ33VJII/c+eT9/2qZ+K3PvyhFfVnkMeKokhV1fd96Ncz2fijH1/z1BTpMwBQgP97aY5SUo5545h5YdmLvWsw+fmWSQ5sEIDr5pKHDmT90127Ov3cMwCIm1uzNE0ZA/nwE0JkWZYkyVTps6yZntdhvfKi3XviV4Xh5EdKJnaJAECapmmaagCzXFNVSZrOaBcRmlTtObusEXRdP9Tdta03astbV65aYFkTjj8hhF7CCoXCww8//PGPf/yb3/ymPOW3f/u3v/Od74wdfwaAe+65J47j2bNnYwCNEEIIoZcgDKAROildh3rufvrQtv7xFbxLm+hFheRKbUtbvGv/4o8AQJqmxcLVRjzgBqOlBgKg2HhVrDebcX8ltyZWGznnnPMsy1jIAE5N+iyjZ8bYBRA9S57nyYUTh43GEjUFEDnabItsn3AWE8913WoG20gegIAQsywjAloWOgCsJeVUEEbGlxBXNHcBZGMnoDVNo5Tquu77PiHENM0oig7YcybdpcP3b540fQYASuhM0mcZvHZ1B3/zkQdmcie8+x2LnwqtOhtwgH96arQM5HdWqL2htrxFGwn5L3f4UTZ5+JvToaCJhw5MOfhcc9MS7b5D5I3LqlvjeiXLr25jQoAQQvZQh2Houu5UY+CyEv2/7trzqhsKH/ujdXtiGgRBnaYOz/Ns25bl2uO+dWbWG0QvHbIdfnGe6Hra1XUwzXihkO+YM/mrAULoJch13W984xtf/vKXS6VSLpebtOj5LW95y+te97qWlpYzv3sIIYQQQmcdBtAInYgkSX79/J6fbC0HY9oL5uXpZe2wQTyUywZUEQMHiAEAOg7fNdT8io7hR8y4jwAHgIq7UlC6OQAAIABJREFUcrDlhjg7UuwAHSIWEJ/igFgmekmSXDDRM6XUNE1CCCFkJzRkx8bIAVEV4DsgvwC8nMbXQuUAt6pE74ej44q7uROR0de9ZoiG4ZhJRk3TCCEyvkySZJDarSxwXZcQsp27mmKIyaaWDJZ85z/2TbXPX/uXF//2c+vjOJ6q30NRFEVRDMP40ldeeObZwfr3gGOrn/7zy6/dsDLN2G0/2lV/45r/2ZUBZI911YtlL2ohL/ZnpRk8UjbMUx/tpwDwoz3syoVpkWsTt1ljVOfmLQAghMjwTp4+1diXoii2bb/rvfe/5tUdV8997sXglVEUTbtgYxAEskcFW57RiVEUZdJp+knJLv44ji3LGhwYqJTLiqK0trYVCo2ndScRQucLx3Ecx5nqu6tXrz6TO4MQQgghdE7BABqh47PvwMF/+01vv8fllwqFN6/SLmZPtca7FchgsozRivvm9XwPAPraXu05ywRQ3/eFP9Oe3xPjum6SJBdMMCdrN7Is20kaBYCYYuE7ArAKykIIDvRFaGCErIJyDMp+cNdAiQAAIQzIMOg68AJJ05RX1NFe12GhDwttuerLeuI4jue42lal9WIoZVnGFIWpyqRX+ouvP15nzz/xx5eEYZhl42fkaxhjum7e+q5f1Y9b//azl1977RpFUWSGO000e5xeuYDet3d8EzQl8KY1zi92BV5y9NpWtdDnikfvh/19fqFtfPp2Y3OiKlaWZYyxcbG77BiZeG9YlvUPX30hTcXNN7ZQ0tlu7O1OF8xkz4UQ0+bUCE1KVVXLsrb2RBfPMYUQM3+1lMtglkPWYIrBwYGBgf4w5ZesWXVa9xYhhBBCCCGEzl8YQCM0I1EUP/j0tru3xwCgK3DFHHJNa2VN5ScEAOqu58eJOtR0XblhbZqmcRyDd9pX/3NdlzF2wUTPlmUpijIYiz6jcdpXLApiD7hyxlkHvppUBMAu4VwMpdodQinNEcIY8yld6DhbjqSXPcQGAluh0XByi0RVIxDGyQoysFVvg8mTZwCAQlx+4smpm5gBgjBsaiqMnQIex7btd7ynXu2GqpLv3fmajo72sSdqqro4T/aXT0H2etMC+osJ6TMAvP3ShvYGzUuODkW32ORAdMy883AEa9WwOztaBvLqtgyAAkAcx3LVwbHSNDX/f/bOPE6Oqlz/7zm1b92z78lksu8kIQsgJGFREVERUDEiiNcFfiq4XLxexet2FQXkugAXV0DEC8iigCAoIYRIEraEhOyZTJaZSWafnq6uver8/jih05np6enZkplwvn/kM6k+VXWqu6q66znPeV5Z7itA+76/bVsXAKxb37XsUiji97crM/M5h5n9mTEoMMaSJEVRxPN8KpVKJpPTigRaFTPr0EgO7n6567j/v/Tye6aJF581W1UUFvDKYDAYDAaDwWAwGJkwAZrByEUQhNvrDz30ypF2K6o20JfmddV6b8a9RgCAngHWJQD7Jn3Bj5Bt2zBUjYzjOABQVXXAQna07F4QBKeMHifLMuHFg6CawIOU1ypehlQsh14TJ3WAVENszz8m/qZVUfoHB1F4vJ/aBW4nKkBA5sk9rdnyJdIgEn37i6tzd+nwYbe4yO5vmr+iKD/8yRs5Vp8xPfbr/72kVyEjymfOm/b9J3Y7+eYHZGdOCcqqPgPAA5t6rjuzMHNJKAjQZ3f7Wl2h6JgAHQRBEAS0eKMkSa7b2+nPcVxfpU8QBI5DAPDsc4e/dikAgEb221x57ngEGsyd6/AYjAzoTfK2F9rDCOqKhLmV0swyMZVKRVGkKIpLeFmWMAn6nrRZ4TEEx4+wPLfHe27P5mIVrVpWMXfaRJ7rf+SKwWCciqRSqVdffXXr1q1dXV05mt100024dykKBoPBYDAYjFMcJkAzGNlpbe94YuO+Q93haSXutRN2VjlvIgDIW9qNEL+v7osAEAXZfa854DhOFEWeP3p5hmEYBIEgCFSFTCaTfVdRVTWKolNGehZFkROlnRCLYOhGwh5OLgBvHiQs2/L6WHEpYRjO4ZIOwfWgh8fviwDaQuK59598Y7czkAD8s19u+9MfLqB2YFmWM63QgiA88ljD9u3d/a27aEHRL372of4eUxVZ/s6HZtzzwp7dXdmPbkBUHva09Wv5JATuyvB4njlJ2NR+7O3ACCICAHDAhFlFkX9UxCdUX5ZlmRCS1U9KCOkrQHueV1Wl9uxKJM2jy3Xc2sVV5RCg6eUwKMsq4x0OISSZTH5tZfHP13Y2dPoNnf7ftsNHF8RqDTEMw3YrevTNhMDBl84pjoJ+pyxQksnkV1cW37K6o+9LHRb55QuH4YXD76oVP3jGlJKiwr5tGAzGKcbOnTu/+93vPvLII/nEyn/zm99kAjSDwWAwGIx3GkyAZjCOIwjDbbvqm9oSc6JNq8QGuTgBBOBtkyUBtH/iZ2oP/g5DFskvxDIXOa5Yeqh6FYGj0iXP86IoZlWNe4EQkmWZWp4dx3EcB2OsKAoAAIn4VGOg1URRZBhG5tZUVSWEWNaoJ3ucGHiel2RlD9HdHLEX+TEBUgXg27bdNwgijWVZqqr2YFEjvoKidLlCnfgVTvtepTLH9gt98+JLl/3vndt8P1cORhQR23Z/f+/uz392Fp3mT/8lhKxe0/yXJ/b3t+LMGfEc6jNFlqTrLpzb05N88a1Drx8OEvkNdpQosLBSPGN6Bcb4v/7ab/nETC6aLqxuPtqTuISunKs+vstpNo8+Zse4oCMUAQAA2batqmoymezPnuy6bt+D8jzvOzctOdJife+/XwWAI/bEVrtC0SWMseu6mSnPsixjjKmKnX/5OAYjjWmaNywvotpxRODBTT0AUKpx1ywrKFRQl03u/lfndWfFe61Fz2dFUejZ6/u+ZVkXz9af2t7vsN+/Dnj/OrCjXEdXLCmbN2Myy+VgME5VDh48OGvW0RR4WZZpQeOT2yUGg8FgMBiMsQYToBmMo7S2tTXXb5vW8+zcKDGvnzYEcYXdr/RSnzsKlnUVnRmGIcdxVU0PNVd/LJlMSpIkiqLjODSLIDeiKEqSBAA0u1lVVY7jJEmiSocSdsUSW0SnpUm9AgCokRZj7HmeIAjpjI5TQINWFKWd01pBHobv+RiYEM/3cmiUqqoihHocr00uqEOpetDp8omQKsDBISGWe/vTC2QA4Hns+wPIoNd8di0AvPSvI9/4+sLT5hVzHGfb9jPPNj/8yL7+VqksV377q0vzdEjFYsYHzpr9AQBCiOf7W3YffK3J3t15TLQtkKBYhtll/Pwp1QWGljbXE0IumyU4ASQ90pyM9nVF1NSMECyp4qoN1GyhgylsB2R187GPZHohRggdNo8dtYKO/b3L1xdCZBhGf7p/FEWCIPS9LkzT1DX431+ueLU1VVCgi0po2zZ9kk9PAgCAIAg8p6vFFJ7Z48+ukJZP0em6+bxRDAbFNM2vnVv80xeO+ZfbUmHazmz5ZE29s3KKYts2ANC7McdxSQ8ZPP/7DV1tqVAT0VmT1EUT5Ckl4q/Xd9n9j0K1mOTnL7Rwa1rePV25bOVpzPbIYJx6/PCHPwSAeDz+ox/96KyzzqqoqBBFMUd7juXzMBgMBoPBeOfBBGgGA6Ioqn/9uSkdT5QM1BKToKDnzV4L+dDiQruq9WnVPtQw4d9Uc4+Ooh5+Wm7XM00jRQCqtc+SpgAAIQRjbOj61IafO0JJY80npuz7GZX9fD7WVHnZtIafp1ffW3cDNUcTQlzX9X2fSt7QT0bH2EfX9e0QD4esPRMyF7oRwlshDoTMQwkCJJVzEr3ruq6oHlLKAWAvGHQj81DC8zyQpC5Ozb1DOwgBoLhYamzMV/q/5bbN8Zhw5y+WX/vF9a7br2wtS/jRP6/Kc5uZIIQkUVwyd+qSuQM3JoT8+OkdXW5aDuNE7dirWxKwJXFsw5krvnokPJS0MvW2zKSUVhcDRACQSqXgeKh5X1XVvi+l8TxP1+XGpo7Tq3ftDeaapg8AiqIW4n1dibjstqOyubqTavALvRBWTDWCIKBzBXL43BkMwzAIgSgKwzD0PI8QYqfMr59XvPGAtbbe7isev97ohIQsr+WDIAjDEGP83E7ztCrpthfa3z1d/ftOK+WRf+xO/WN3v2dyL0ICf99lP79nw22fmK9pGnNHMhinEi+99JIsy08++eQ555xzsvvCYDAYDAaDMUZhAjTjHU0QBId2bKht+tOUYWwkntwaT26lf/Nh0lSn2LYdpVIAQHUxhBDGOG3FVRRFRF6Y6pjW8Nu9dTek1Ml8YKrJXeVdL6W3Kfvtk/bflZYohKBn0qF7Mnc6teHneyd/2TRNXdepgZoqGuPRB40xVlRtK8RgqOozIlGN1bJNLScEVQddRQLKxxKrqure6JjNWSTBTJwKgvDoJzWQQiTxHADc8MW5N37jlTz7GUWkq9tbddU/c7QpLpL++thQ1OfB8ocXd3QNVGsNAVF4sAKEAAjA/ztdxwjueM08kjqm9ooYmoNjNSI1lD2UmZ6f6RO1vzaSJCUSPd/6r83/8eUpFy9a39A6Od61w/CPHJhyjRDnTDsepVImKppUxF1XJhNCqEc1M6OD8Y6F47gQS+2pEAAiQipjgirihB3qEjbdSBHg1+u7K2JCTMZnTlJVkUsmk4trlKUTFYxxFJFbXzgu0Hlzkzu/Uja4kBBimuZZNUjT+LiETQ/mVEjbjuRVqLAXfgRf/eOW7394WkHcyH0tMBiMccS+ffvKy8uXLl16sjvCYDAYDAaDMXZhAjTjnQgtj5bo6pS33FUbtA1/gz5ndBSfbeozAEB2jmCtghCSFheCIKAyGUJIFEUew+T9v95vLAeAqRmm5l7wJFd2R4SEKIo0TQMAOqfbsixJksZjKq6mackITyLJ/XiA1Iv+0APrkFYZ93omipEdOGb/5mKKYRhALecAEYAKwVSU8gM/mXIg77mxhqoCwIzp1UPrc1bKy+SH/vTREzBJf1f9/m2dAzcjgKwAFB6cAEpVjIA8uqP3CEelBpkjBybhdyTDGVqY6UqWZbkrEje3k3cVZwnfAACO42gGek+P+fkvbASA7/9kz8pvt0x2Xm+e/PFu44OIkMw4b2pKHY/DLYzRIwxDVcYP/6srR5ueNg8A9rb7505TyzR1V7v/xiGnzQz8bAb6P7yWuOy02ASDUNO0aZqfWmLs6YjOmqRcPMf4yfPtQ+kkgW89tuebF02sLi8BgHSMEoPBGL+IokjLR5/sjjAYDAaDwWCMXZgAzXhnEUVREARRFLXsfaOm8Y8jZT/jIquwa6PkthQk3mgtOV+zD5jaVBvHPe9oBrGiKDyHgUSAeewnAWBScu1w9phSJtLIjvQSVVXHYxKupmme58kI1fOFQ1gdEUIQSgo6ACTEGEB3PhI8TSnRdX0u7jmaYcJxtGIez/OKokQDOWq1wFbVOACUlBQtPr34tdc7crfPh49cNun6L648MWrUA28NIN2eXkoKNHlWiXDPm6lrTtM8z4uiyA3hcKr3OyP0UcsP2FydSmgGOgAoirLTEhod7skfrn51cvwL183quztCiKIo/+9La7u6PQC49JKJj/3lYIQwANhGXRRFGGNVkQkc87b7vq9pWo40D8Y7EN9zq+J8cyK7DT9Ntx0+viWvqKJH3+w5vUY+s+boaIrjONOK5e0tbo7Q53z40dMHv3qeO6W22vd93/c5jqPlSYezTQaDcbKYOXNmS0uL53m0ngeDwWAwGAwGoy+sGA7jnUIYho7jUB2tY8tTE0ZOfQYATELJ7yxMvBEh0VZqW/VF3b5MqwUWSoFhGDzHAcIlHWurDj82+dDvhrk7VyhqLr0oU6mMoiiVSo3HIIJUKhUEQSeveTAU4ZUgVGG3ASEAIIVungZwwzBolTzTNE3T9H2fSqUAwPO87/tkoDCQOD5mmPz57R+67nMzh9D5TH5113lfueH8E6M+R1Hk9P8+VagEAF5vQ7NKhEPd7kdmKfTCAU68f2uqr9y8NwE1vN1r4ZoOfltK1DRNkJX1CbHZwSuqpTv+tGrJ4sKsx0jVve6EBwCrrpj20ctnAMAr+PyG8vdX7r4XB3bJngcLGp5Aka/rumEYNAA9DENamZDBoPi+f8Vp2oopAwS4D4olExU614TiOE6tHiyqlj53ZuG/LStYOlEe2mZvX92yY08D/TsMQ9d1Xdcdj/dwBoOxcuXKjo6Obdu2neyOMBgMBoPBYIxdmADNOPWJoshxnPTE/9YjzRWdq0d2FwRwU8Wle+u+tHfi5z1O53m+0t8jChxGKBALAQAQmtxwZ0Fyi2ofHPbe0KEJV6VVvDAMyfHpBOMOQdFaQBnauvNRokMqqLGOAIDLSXkKuMlkMplMWpbVV+5xHEcQBBIO4KBsxtrT+7uokxoh9Mkr3/Xi81f/z61nVFcPWvm66Rvz1q6+et7cusGuOGTaOjoBgOtHYz9iIQD4wulaEJGauKjy4Pu+IAiYBKumo0/OxNcu0nqt0t6dJQ/3iMc91y6+2s3P0/0LZpfLskhaDp71voV/f3a/rut924dhuGJ5pSDgiy6s2bM3AQD7jYonyMKddZ/yQGibesUzxgefb5ds204mk47jGIYhCMIJiCthjC8cx1lWO8T7SVYeebOn13QTQkgqleJDSwZnaRX6ysrioW35jnVda9/YlblZKkMPt8cMBuPE8vWvf72oqOi6665rbGxkw0gMBoPBYDAYWWERHIxTFkJIGIZBcExJ7O5ojW+7oybKnlORlCa0l19Yd/A3+e8ixJLPxw9Vf5zGeoiAY6ltle3/bCs5N1GwAABQ5E88eK8QjlhKwMHqT3hSaeYSjuMsyxqn6rNhGIQQgGh22EEI8QS5IdKifOehEz4Kt6BYld3aIpcAwBxIjEgIie/7bTDwLNoI4bWd4UX60bBvQeCXLZvz5/+bs2tX/WeufTEMBwrx0Pib/3vp4tOz5FGMNmUlxQCtA3UQHngrdfV8nZrKPc+jCwVBeHKP06vlW50w1wgdkqn+k2rBm1lTzGsGuDZqb46iyHVdmeMvvPJdf7rzxUsvmZh5bVKu/ezcNS8e5nn+J7dtAgArwgAQ44lpuq7rLivWIiCuTQCAEELVf03TmGDHGFXaU+Etqzs+d4YhcWGvORaEEEKIa5k3nlvUmAgf3pQY8LLqxUNvplp63rp8xZx0/gYhhE7IEEWRja8wGOOCeDz+9NNPX3zxxcuWLVu1atVVV101adIknu/3IUuWZRa5w2AwGAwG450GE6AZpyCEEN/3MzXZ7o4WY/uvy8J+i1PtnfzlKft+YeShPhPAtlzTWnq+z8cAACFEoqjQ2lXe8XyEhUPVq/bU3aBYB+r2/y8X5aWLEQCPMzwupntNuR9HCGBXLMlsQ73P47HwIIVqiMdwnNma/xbkFQY9nfTIHByxghalOMT8ZJJ07OEK/RzHqaoaRRG4fj53RwIoDMNeD5kzZkxZu3rynj0HHnls95atnY1NFgAVpVBRkVhdpX7h2vnTp088idWKEEL/ubLMOvQqALhI/2tzIQBYAUp4x06uO19PXbdIAwAaTUstXRzHmZHQlOwduAEAVZDaBzEA4IDMVN2qCTX47XAMlGgHgKMhJ1YS6QUfXjV/84YDp82LZZ66HMdZdgAAV1z5DwB473uqaG1DumuEUDruOd0fALBtW9f18Zh+zhg9TNO8fnnRL9bmUWczb369IXnV4nihhLNW0UylUoU8fHl5Ac/zf9uefOvwIAZF1jR4Pe6Wa949r5fcTEd9WJVCBmPsc9NNN91yyy3079tuu+22227L3d73/RzyNIPBYDAYDMYpCfv1wzilIIQEQZCparmO7b15f5m9M/eKU/f9LNdmASdi8yS35Uj5B1yQoigSBZHzk1LXNgfHpvc8R5tFWJ7YeD8mueRgmysIOTXAis/pftli3iiLFRRjjAMziV77Tu5O7q29rpdlJpVK6breW8Ydz/i+DwMLs2Q+6qEpzT7m9MAqFRFyU8GwbeD0zLFtu0cqyX+Vvo+RCKHp0yd98xuThtmfUaJ13+aatj+nz6RZhQAAKVwIAIf4eS90Ve/sxgDw602pq+epqog1TTNNUxRFSZJe3JtFfQaA5w5E5022qmJivLIG+hi7jp2iTgrFiiRDX7q4zHWPOqlVVcUYt7XZv7v32HU6aUo8BcABwRjruu55HkKI4ziMcRiGGGPXdenMA9d1ZVn2fX/8jsQwRpzQtd43S39mR/aRCfT2oNCg+MNriao4/4nT41Y/gfu2bfM8//7ZxvtnG7eubo/y3scbzWHyqS2fnJnCxdNVPZZZx4xWKeR5nslVDAaDwWAwGAwGY/zCnmcYpwh9Xc+EkJaGrRMO3oeGIjUAAASc2lZ8bkqb6vl+2q+KPau27QnZbUUQAUBDzTUt4vnl7c8DgBD09Ns9gOb4OcqUc/VYAQe9JdbA95VNt+fuzBH1NII4EkUIISpDe56naZplWUM7urGJ7/tzha4eJB2EfsOUZ3htIc9bnt8glVWKdgnyRrAAYxAEqqoKfuBxeTmUgyAcX0XvW3e9NKH7732Xa1EXAMz01s7UgGhwWJzfIC9VBAQA9Hyjau+5NWh6sfRMfRaD55p93vLJSJLa5eLjUmIIPurf1HUdIRS1HOQw9qNQVdVkMmkYxheuX+t5YdI8msjx+c9MvuSM1rWt+jn8WzOs57u6Tz/Azeu7O0EQNE2jfUulUjzPq6pKg3dsO7tKznjnQAiZWtLvJZzPzaJCR0fM3g2bE8Gtqzs+ONeYVsxlPc2CIHAcJxnw+avPlD0d0Z/3atc33wwAARItsdJRJ9olp8fihZpuBEEQBAHG+CTOnGAwGP1x+eWXT58+Pf/2LF2HwWAwGAzGOxAmQDPGPc2HDgAQPV7keV53+xHRaizofl0ME2KYmjgk6dkVSg6XXxwI8bSRUxTFiqZHZL+Dj3orDnWN9+TemilUJCddWlg5ubSf540oivgNPxDDXBkCllxjVpxLwjA9F5sQIoqi67qnmOuTVvcyVDITBwBAAJkEN6FjVe/4KGhEegqr1bI1D3pSKdMc0YI/VNCsJKm9/SvgmRzu6JyqDbrw4Mmio6Uxq/qciYvjHfEzLLHS7YleOxzMKhE0AQFAFEV0gGeizmEEffW1904kF7TfsQ59RrfMpEdaPTxVJ0Z1LRSW62FgmiaN0VA1zXEcWZajKNJ1nRBy8w+XKeUlwEm7Nmy9aNYWidsGAGeWa99ZV6UKH792iaTLet8xBt/3CSGSJNFoDmoUpS9JkjROg6EVReE4jr7Pp97VfYKR3/6BM7tC2n5k0OeDG8IPLpn8h5cO7Ono/Sk88VZSE9EXzi7KmoDk+74M/tfPKz7Y7T/4xnGjklcviSsCfmhzT5eV5ZPd2hI9UPvJT+D7eeLF3AMx9wB0vQQABJDHGS4f94RiV6ny5bKqKfNlWR7sETEYjFFiyZIlS5YsOdm9YDAYDAaDwRjTMAGaMY7p6uyQXr+tIkyklxQNdVPdxrz2kvMAIC06y+2vVfesq6+7gQAIQVJzGwdVLyYEYVfpRybPWiRiXJyzZdPWNVNyqs+tytyeivMBIDMJ9NS2edq2nVYbDUnieTlAHAAAIdOiBC/ygd/uOM5o5P66rquqqsjhWUH7IT5ugpC7/dFo4/EAIaRy/90DtAF0oOxjURQhQAVcqqZSf7PVn1uM08KoZVmu684sFra3907CnR2+yZFgRevdTcaSf3HnA8CRboDuwxKG80uRpmkAoGkaAZCodhYvrd93SIu8ihnTiJWsTD4ze24nAJikoh1m18jrSrXqTy0rwggRQjiOE0WRhp6n9yjLctb0Zzo2M6w364TD8zwV5dNHpCgKAJzCl/loQwiZVylV6LBoovGBOUbCDu9+ud8yAH3pssl//WXfdz5QCwjd/PR+9/iSmSmP3LK6ozLGf3JxPOsMDNM0i3i48dyilEfu+tfR/d73akLi0RfOLuIxrN9vn1Gr3PNKd3vqmBi95gCpnvvJlan7MzeFgEhhjxT2gHsIzM0AQA7BgfjKCcsuZz5KBoPBYDAYDAaDMS5gAjRjXGIme4JXfhn3m4azEQIYQdQdm99efC4XWpJ9yFUmxJr/UeZsS7eZ2vDzwWwQXL7gUOVHqmun8Tw/NY9VHNue0vVUP1tDLhfbU/Ae2e8ub358V+FFqiRJHLJtOwiCrKucMqTVHEVRWjmdRABAAKF5KGE6Noym5BuGYTKZRAgJglAHqZ2h5nO5NGhVUUaxNyNKouNwef9zAgIkRVhyhVKa8UI/giiKeISe3ucfNsPPLTya90IIOacan16h3P/WcdpoVfI1+keJtau6YFlTqAMAAHIjsF1P4LDv+6IoJjxiCMj2A420TylRWlx1a33zZSXPEB6ayZKesMyyLADi6e/9f0sPOwhR5zXP82EYCsJxn0XWcnAAYJqmpmnpooVjFowxz/OiKNLxpF5ium3bHMdRN3dm3cU0siyPo/GPE49lWedMAEVRoihCCO1udT84U3xypze/UtjVFmAEln/0LS1SOUVATYne91UC8N0nD1y5yPjplQv3Nhz41cud9vFn3OGe4JbVHctqlRVTtBxBQMunqGvrj2YluQG5fU0HANQUCC/ts86apFy5WPnt+m7TO5of9cBbxJh7yempv+Q4NAQwIbEGnluzp+gDdQsv4IUBxskYDAaDwWAwGAwG4+TCBGjGOCPZk7A3/bHE3jZw0z642ABe7I4tRCToiS8ghPDtW+p6Xijo2TKcLhFAPfKk7qr3lVXXcRxXm/+KhCiv/iD93xAJSaEqIVY16gttXkny2kyUVBABqN5NTpNIKGHyjpqSjxA6xMWSIAAGjoSi7w1kRx6BPXIcR52nURQd8ZE/UOGv2qqK0e3TyNHTsq+8/1cbKj5F1Uw/mVRV1fM8wzBSXrTmoPvFxfrvNqee2ON8cJpORVLHcXiMz6gSNjQfE+QIHJ0kIIU9l3XcsatRht3NAAAgAElEQVTkQ88GswBAQ8EWU1haBLZte55XYBjtLinkMS1sWCFLdWLLnuiiMEKu64bhUZ3ONE0TDIDjCmy6rqtpGhVkaRhuVqczNUobhjEG63OqqkqV9CiKfN/3PM/zvP4a05aqqgIAx3FBEBBCHMdBCOm6HkXR+A0bOWGkLeTzK0RJUmdWQXPCv3C2QCv7bW5y1tZbjh99ZEFBXMb3vdLdYva+x/7xjeQjWzZ9/cKJt36idtPO/fe/2uUd32TjAXvjAft9M/W5laJlWZkytG3bLkgv1WdJ6m/s9gHg5f32y/t7m9zvfkv/6uxzZ9kvDHh0UzqfJM8/ebDsA1XzmAzNYIwtaJgSm6bAYDAYDAaDQWECNGPckDJNc9P9pamt2sBtj8MTChKxhVyYMvXpnliCQrem+aGyjjXD7A8BaNUWRLUXFBSXKxw3BB/s4bdWC8rcdmVKm1TtcNLxVe/IPEjQPOIdkVGHTIEEUYQ4jnvnPMxomr7vbck5AjRF8EbV00pL5Pm+n0wmMcaappXzUUnUuYPrN0OlzOvmuPjodWlkUcPOHK/S8n30gZk6nV3XndX1yLurL7rjNRMADvWEmcqapmmLVJIpQLcpMyqtrfRvVyytcnacVTo9LhCEUBAR13WpIpxMJiUAywMA8DwvCALQalKpVGYF0RykUilN02zbzn0yRFGUSqWodDumCnVijDNzNgakl8dZ0zRVVTmOo9o6x3G6rvu+f8rL0BzHcRyHEAqCYGjjcJ7n+b4vCEJlTCCECIKQTCanxmHOmQbmhRf3pt467N6worjHCe99pdv2j/MyOwF8/6mDM0ubr14x+bbpE//x2t4nt/c+/Z7ZaT6zE94/W59VJqRPuSiKZOTceF7x2nprw4FBpKncvr36m3POqrNeHrAlAqhpfTJ6/m9N1ZdXzV2B0KDCohgMxohBCNm4ceOjjz766quvbt++va2tDQCKi4tnz569ZMmSSy+99F3vetfJ7iODwWAwGAzGSYMJ0IxxgOd53a/cV2JuGpTISwCOlF+c0qYCiQDhstZnKw//RciZtpzfZlFT7Gy57hw9XlQ4VC2YELK+4XBnbDHEsjeYCz0IoSYid4DEISIjAhwXhmEQBDn8kqcSuq57gMvAaQV5Bkn0EN62+53hPnxkWc70okZRRAU+wzByVLKcW1M2Sv0ZHXK9e1EYqKrqOE464MXzPIRxp4U+t0AVeRyGYaa2lUwmJUnK3EK9diYVoPfXfSYQClzPEwMLiWoymeR5PgiCrIkZURQFQZCn+pxeJZ/2PM/D2HOfmaap67qmab2ssnlC10p/EGEYmqaJMdZ1PbeZelyj6zqNHiKEYIwNw4iiiBCSWXkyHwghfd8l13XBdc+oxudPLwYAgXjXnmF0ufjeV7p7rb6zLfjmI7uvWGhcuGzGuQu9pzfs/md97zf8b9vNZ3fCxxfFyzREzdeEENM0z6qVV0zV7tnY1drHYd0fN2+b/L25dmVqU+bCEEkcyTLYgCGqbHo4aH68ufZTtTMX5rkLBoMxUnie97Wvfe2OO+7otbyjo+Oll1566aWXbr/99muuuebOO+9Uxk9yF4PBYDAYDMYIwgRoxpgmDMPm1x6v6lpdkl/79uLlgZ0wK871PE8UxeqmByta/oZy6m550ilP7SpcVl43TxCEsuFZzAghqxvabK5fJ7cGPkbQHvEdSAKAyUEXCBzQQN6BEiFODSRJaiNiKfIw8ADQ4qEJkm8ORqMcLFmzdFVV3UL6GSIAiPkpVRk39mcAqLJfyfFqmb25XV+cKYnyPI+J/2YHf+YkTMsP9lpFFMXPzQdBEJ7f7+7sCDa1c2cDAIAvFKTzcOm/uVPLeZ7PmnHcH7Ztq6o6oK+Z5lfk7zU+YdAjHVqlxMx3NQ21VFM39Bg83uETRVHa9UxT2unf6SiS4Zvc6ZiToiiSJEdRqIL99fOKf72+u9s+Ti8mAP+3Kfn0jje+c+mcDy+f+76l7r2rd21tOe70DiK4/7WEgOH6FcUQHa0WKwjC2vpU/uoz3df3ts35yfSOuHcwvbCh7joAKOjaeATVzul8sNdXEUf8Cft/4x8QDk367OQZcwf9LjAYjCERRdFnPvOZBx54gP73Pe95z/Lly0tLSxFCbW1t69evf+qppwDg3nvvTSQSDz/8cGZNaQaDwWAwGIx3CO8IMYsxHomiaM9r/5jW+dfqt5cQAARAAAgS9k/8DEHclP13HKy+UrPqi7vWv1X00Tp7Y2HnRo64sO/N4eyaAPhY31d6qWoUxIvLqVdFB9CHfVAAQAh5rqHD56QcbaYgq5vwzeioQq0IRx9UeJ4/JdWlvgiC0ALKEVABgIuCQnAs60TXXVQUBSEE0O9gw+xC+UT2Z5g0H2qo6/9VS6zsMJZYGTkYCCFFliARBQR+tzl1zfwsji2qA7quO7tE2dkRnF4SQBsEnO55HlVI80wDSCaTg1JO8wx3DsOjmSGqqmKMEUJjJBLasixd10c8NIO6oXVdtyxrUI7ysY9lWaIoiqLY6ySh5mIAoO/noNzQWaFisa7r9Bz79BL9UA/58+aeXs0SDnz1T9s+vURbNGf6tRfN7+pKfO+Jev/4t9yP4KcvdPAYrl9eHHhOMpk8vQKfNan49jUd+Y+IhgS+tXf5bXVPyeFRO/bUfT+jf2jyofrJX07/d1PJNQvb76F/Y+JPargraMBHZlxfPWkaC+VgMEabRx999P7778cYf+ITn7j99tvLynrPjkokEv/+7/9+zz33PPbYY3/4wx8+9alPDfnCbG9vP3jwIABUVVVVVGSvQkEIaWlpaWtrI4QUFxeXl5e/Q+wLDAaDwWAwxjLs5whjzBGG4cE3X5jQ+tfJmDtUdYVqNdjKBE8oCDmNd9ojqUDwu/igBwEhgCY2/ZGuNbfz4WHu18Najz7TrjinrHICQmjysA8kKxv3Nvpiv6ZaSkjgIBxVnyfZR0BVaLGy0enRWMTzPEGMPILn4x6CScBhxz+hgpogCIjjMMrlnt+cCM4vIuNF3LGT/QZAh8A1FX/Q9/0oijiOE0VRj9oUr6X4yCt3JK/4wuma7/s5ApcNw3hyWyoukjPbfkcANUy51jNNAMAYC4KQ2/ucJs9mFBruHAQBtU4DgOu6fXM5aEKIqqqu61L/7BgxCNMM61HauGmasiwjhEZvF2lobLpt22mtf/SgCc79fYLUAG4YRv5h4jkwTRMhZBiG4zhlUvD184p/vb6r2+692d+/mnpi2+avXDi1sDD+g8tmfOPPu/puKojg9jUd00rES+YbViplW+aN5xXfunoQGrQbwneaPvD9qsek6LhrUHEa0+ozAKTVZwA4MOFTfogiXp207/49/ifjulpeVZP3DhkMxqB59NFHAeDmm2/+6le/mlXqjcfjd99995IlSz7/+c8/+uijV1999dB+PPi+/9Of/nTbtm0AcNVVV11++eV92ySTyZtvvnn//v10aoiiKKWlpf/1X/9VUpLnZEIGg8FgMBiMUYEJ0IwxBCHkyL6txXvvTRZ+iAA6WPNJ0evqiZ+mm7tLO9ZKXusI7svh4gGn+ljz1Cq/eIFeUKpqWgz6y2QeGfYeONQ+kPoMANvgaLBDjHgxVaGRr6eYpTE3hBACMBFZhJATZudECPE8jzEWRTEiBCO0heRK2HA4KWmmYsaIOONHHZH0K0dyEApeO4glPM+rXlN1298RhACwQ373/mZ8IBFwGE+IGbZtK4pimmam1GgYxvMNTqdNvjlnx8HoA742HQFIkuT7PsY4/3pxYRiKopjnKAsVysMwTAcvIISoQ5b2jSY2iKLYy/Ls+z5No85nL/mj6zoA0OuU5hTndjebpqkoiizLI2La7YvjODSbIh2EMnrQip2iKNL6qJ7nhWE4tCKBA0IIyXE4NJpDkiSe54dfrZQQ4jjO9jYyr0pzHOeaxXrCQ/dsTPTafbtFvvXYnrMmCh9dPvO908Rn92Q/gfe0e7eu7nj/bH1mKW+a5idOj//x9cSAfZhbxrVbpC0Vddrkx22XfqvkYT5b+nNfJh269+hRAAKAhGlZm1YXTVoQLyzKZ3UGgzFYtmzZUlZWdtVVV+UwGnMcd/nll//kJz/ZsWPHkO/M69at27lzZ3FxcUdHR9YGyWTyBz/4wc6dO2tra8877zwAqK+v37Zt27e//e1bb72VflsxGAwGg8FgnBSYAM0YK7QdaZa3/UbEaoCluZ0PAUDdwd+N1MYjxHtITajTo8LpYskUzYhjjEUAEaDfJOaRJoqiXUTvP9EhCxORTSW2URJ0xiaapkVRNAuZyWTSl6QToD5jjFVVPUykJBGmcinLslRV3UaMAVd0R0E9HCU8PpeYPqnj0V5LLFxwd30ZADy11105UZgQ4xVF6StoplKp8+u0GbEuU5ztg4KiKIoi3/epDpi/CZcqyPnb/F3XzbSPUc03LfvSROm+Z47rupqmKYried5IJWBomtarrh0Vf33fp1VDAUAQBI7jfN8XRZG+J/RfjuMkSRrxLA54O5tC07QgCKgun/7sqHY/InvxPI8K+pnv/KhGUdNrM0fiMz0NNE0LwzBrsHv++L4/t1xaW5/qcaNL5sqKl/r3c4s2HnTW1vfe+8sH/fV/3Hrd2cXzerq3tvT73v5tu/kcB6sWFVQX8Ch3SVAAAKiOc9e9fy7tScp2Wr2vQbKxsPFJJezK8xAQEOqSTim16sbHWowFRUuvFgQhz9UZDEae7Nu3r6qqqm/yRi8KCwvj8fjWrVuHIEATQrq6uv7nf/5nxYoV5eXlDz+cZdofIeSee+7ZuXNneXn57bffTi/2IAhuuumm7du3f/e737311lvHy7QtBoPBYDAYpx5MgGacfFzXtV7+ZbG7D0ZUDm6KvYurWmwUV/K8gBDCAIUjt/EhcOjwEYLyOr4Sv6dKJIQQ3/dVVaXT23meHyMJtqMNdS9Sn85oaHO90DTN9/2tUAAI5qFuM2nquk4ICQEPuC7HDdxmjFA3bQ68mldLArBPXv6L+gn0vyUKnlGIk8mkqqqyLAMAzVMGAEJIYzL0u46Ux4qTjqdpXNofbdu2YQys4FNoHTlCiK7rYRhSF23uVTzPyxGjTPuQ1VxMzy5N00bk1FIUxXXdXpZqKv4KgkDj433f5zjOsixJkmj5RNp/WZZzW3qHTyqVopkqqVSKZprTxAxFUTDGedqENU3DGNPPhRCS+dHQWq+ZijAhJAgCGkU9Ghp0nu9YKpWiwwA0HmTIu3Nd9+xasTEJt6zu+OwZBdhx5peSJROL79nY1WkdN7xBAO5a11EgI0UAu/9hKV3EHAZCyEcXxB7qEy3di2f3eBedEfA8LwhCgSAAGFBSQiadlrBS3bvX1CZW538gmn0AAEqTb5DnN+2v/vikeWfnvy6DwRgQjuPyuTvRNkOuQPirX/2qsLDwqquuevbZZ7M2cBxnx44dgiDcdNNN6aEmnue/8Y1vfPrTn969e3dTU1NNDQvkYTAYDAaDcXJgAjTjJLPvlSdrO5/JZc4cDF3S1Nais2vqZvKCUDrGXB4NDsrzgqsUCNWw6FxOjuNs2z4Bia5jiuGrV7IsZ50MS62poihSPW4riYOIAMg81GMmTd0wtpJYjtqDmcTHz2xWjLEPsgADeEJtXPDLjouarKOHf26tNKdUoNLwvVtSKR8wgujtR+wajaysdBaJ63ZEH4iiKJlMKorCcRz97AYsLShJkiAI6TpyaTRNowJ3jnXpZ5fXkWcjlUoZhpGulOi67mAz1qnHmcaMZG3g+34vBZwacqlWK0nSiUmjpsEU6f1S0qX2HMfJHUjSV8Pt9ZlS93ffD9o0Tfr5RlHkuu7bJT2Pjg3kk6uDEFJV1bbtXi1t286n5/S8yjwhh4bneWUSfP284ltWdyyoli+Yplgp86pFGi+It73Qewp8tzOA/NRlR7/f2H3pfGNaqSRgGDDZftee+jmzZmQuQQgpmq4svNgl7+9oaeIP/rPM2pL/4SAgE5v+FDQ92Djt+klTpue/IoPByMG0adOampoOHz6cW97t6Ojo6uqqq6sb7PcXIeSNN95Yv379tddeW1pa2l8z0zSbmppqa2t7ebELCgoWL168YcOGXbt2MQGawWAwGAzGyYIJ0IyTAyHk0K5NNft/O2k4GwEIsNqlzU4WL6maMJnjOA2gbqS6OKIQQkxOybMxQhCGEQAEQUAAgBCafvCOioEeDqIoBqK6A46qw/NRggA0ENUEHgAZQmAKHElLzAgwkDmQMJMmNe3Ohp7tEBdJ6CEOCIF+HhRL/R6OG6mhkxNBx5TPVdT/IkeDEPgHzAvT6jMCUHh4/bC3vskDAIMnjulNLUJfnfI8Bh8BhCA0yyv3oku9t720tm1LkkS9ybQGYA5c1xUEoa8P17IsQoggCNQFn1U91DRtmBMCMlenfQaAMAzzH+kJgkAQhNyJEP1xAqz9A0JL7dEIkaxuccMw+r7Jpmmqqkpd8Lnj6TNDUXqFt9D3re/yTDRNo4NwqqqmM1Vs26Yma1EU88nyTkvtw4ySN03z6+cV37mua9th5/rlxY6d8jzvxnOLth52/75z0HnTj21Jvn9WlI/1/f82W/89K/tLCKGSihqo+JQH0NXZHh36V2n3Rp7klTqCIZq452dmQzEs/ZoeKxhE1xkMRjYWLFiwZcuW733ve7/5zW9yNPvxj3988ODBD3/4wxgPbvrU4cOHb7755nPOOefCCy/M0ayxsREADMPo+/07efLkDRs29JcczWAwGAwGg3ECYAI04ySQ6O7kXr29Juwc7IoBkmyhxJUqUyWLZa0gXlSCMS4AGPsP0GEY9qdjZoW6YxRFCYJQ4Dl42zk4phiNem7DBCEkSdIRPtYFIgJCVebdRK8Lusq9tjpVfQviyePvewJEs1AymTQlSQqCgOd5Dsh8lAAEb0VGhPp9SpxVfnIzXQZNYUn5wc4PTux6or8G/8CXbe06NjWYADxd7yKAuUXhogLzN1vkjy0wjnTbe5XLYlFjLKhvls+1LCsMjxPgqOwoCAI9h6l02N8egyDoG0mcDtDwfV/XdWpVtm0bISQIArUqDzPetxdpqZQKslTozL0KDaM4MS7m0YNmQ1P9nX5S1Fksy7IgCP2FV/QV3Ad08/U6B9L2cCou03c7LRDzPC+KIv2bBnqkl6eDRAb1zpumSWtU0r30NafnuZFrz4y9UO/8dE3HpfONCQZJpVJT4ug/zi95eFOioXNwG/zbjtSN5xU/9EbiYHeuW2iXQzbvqF8wa0rurRUWlUDRhyL4UEeyx23aVNC+Tg0GlpnUoANe/uaB2IqqJZeyYGgGYzhcccUV9913329/+9uOjo4bbrhh8eLFmnYscs227c2bN995550PPPAAAKxatWpQDmhCyIMPPhgEwWWXXZZbuW5ubgaA9PdvJrQ/PT3Zk39eeOGFvt/UjuPQKSz5d/XEk+6253mDlfXHFPRAMmsqjFPSvxx83x+DTy6DIoqisX8J5M8pcCz0h+J4v9gh4xev53njOpef5kqFYThmT63BBvGN8ZswfQoe77dWJkAzTii+77e//nB597/ybB8gqVOZGZafzullWqxQEAQJQAKIjWovRwGMMSZRDjUzE/q1ZBgGLSMGANQQOrpdHCS0atzYiaUWRVGSpDYiRhBOQHZVaIZhyHFcA45ZwDfz8RrBIlE0CaUa4FhuhgThDGRSEy79vjEMg+pTsiyLEDr9fGR8FMSM8WR/ppRPX3ZoTzSh86m+L+2Xznpm37FvBImDM8qCpcaeUtwoIRsA6hZXrkssOn2igTE+YhW1oGLo35Wf1vhognAURdTX3KuZ4ziSJEmSRDVNURQzn1hkWaYOWYwxLdZn2zbHcaqqRlE0GoMfhBDLsvQ8klWySufjlEyrsizLsiwjhAZ1aQ/5lxD93OnNjYYdI4Qsy8pqKqfK+NBE/8xCkQghmoLdN98jN7Ztn1MrTC2NPbyp55zJ6ulVYhRFh7r9lVO1jxr8H1/rbkoM4pz86eqOTy/RfvvqAKs88mbPgn5M0H0xjJgxcwXACjsMzZ6uINWBWzejwAaEAEjM2S+HveWnCT0vRs+/1Dz5mqrpp+ffeQaDkcmFF15466233njjjY8//vjjjz8OALW1tUuXLsUYv/7663v37k23/Na3vnXZZZcNauMbNmxYs2bN9ddfP3ny5Nwtu7u7ASAdeZQJTSTrb2z1P//zP/t+pVZVVRUWFo6dn3m5ybOqwRgn8+t4vHPKJAeOl0tgQIIgODWO5dS42Cnj3chC6VWMfUwx2I45jjOyJqeRhfaNCdAMRr4c3LWpcv+95SSLU8zDaoc2z8MaTTzg1QKhqE4xiiRZGfvu5nzAGE/l7N1RXkUI90BsGvTQCF1qSxyb30+CIEiShBA6uXdqjuNkRXUAExLFvKTv+8m378uSJBnYt4BPgJAg8eODnckc6OFQ71+W9L+GYfhBqHH9Tmg3yBj9oh2QsmlntvfMknbfZ4StmcvvaZxE/zi9lLyncGs5t5++WyGIB5T3ebjA94OF5R0pokPeteDg7Z+JNG8hK67r8jyv6zqVdKMoUhSF5i24rkv3Qi3JGGOe52lNztH79Zn/l/qpoT73wnEcVVUdx9F1PUc+xsiS9iMP+DORVlMc5mMtNdQDAM33GFQ6h+/7ZRJetSj+pzcSnZb0vplqBR89s8ve0+ZeflqsVOd/+VK+M3sigBf3+7WFwoGuXO7pLpskTdMYZNw8x3HxwhIoLIGa4yKkTc9zrKR14NUi803db6ELMUQV+36XPPRksPBLhUXFg9oRg8GgXH/99bquf+973zty5AgAHDhw4MCBA5kNSktLb7rpps9+9rOD2mxra+tdd901d+7c888/f8DG1BWYdXQ2XfNgUHtnMBgMBoPBGEGYAM04ESSTPdyGH9VkeK9MofKwsUwrqYmVVPM8jzF3yj/1NvkYBqp8bgSp2uR2VDgtDEPDMEgUwSAnm59IaIYsIcQwjFQqJcsynbAJAMOv/TUgVJ2PoohgjAiJUj3m289XVMdUVTWFxRaSPXpbIBGHs4+i0yc0gec6SL+u84nyOB57NGIFsPiGpOse2b2h1npJBHudcDlG6MopyQXCvwR0TAQkADuFDwpIMJMmALhIJ2TQeccwUBBHL1trMpnkOI5qzenVaYQCnRNAg1b6uoRUVaWuZIzxgEXqckCTWHKv7rpu3wJ9pwBp3TldRXBM3X/oyIQgCEPI0OgLzfeQJInn+cxbAcdxdBQk6/0hiqJSJZR4tO2Iu7vV/dLy4g/M0R/fSh7clH1uew72tHnxAZLSAQBe2tZ80bKRKRgoiqIoFscKLgS40Iki33NbG7YUdr9e5O7V/FZ45dtNhSuql31sRPbFYLyjEEXx2muvXbVq1e9///v77rsvlUrRLylRFDVNW7Vq1Wc/+9nCwsEldxFC/vznP5umedVVV+WjHdP6hHTstld7es+khS76cuWVV/b9Ltu4cSO9GQ6qzycYx3HorwtJksb1rHwagSUIQtbq2eMI3/fpzydRFDluoMeesY3neYSQASuajH3ooDvHcel8s3EKvUzoRL2T3Zdhkb5xjfdjIYS4rstx3FibqJ1msHfUMX4THtdnS5qx+/4yThl2bNvqey6UXI4xlFZMiMfjACAC1J7sjp1gZCDZTZuESJFXa+6b2/kwAOytuyFpmgCgaRzGeIzPM6Jfn8lkkud5y7IQQrqu+76frv01euqVaZpUg05lWJhpebQEEgvAJwANJMNyTggihGAMACXglATJZIaCyXEc1bbgOLtuP3d5QqorKkb6gE40oiRNnLeCwIqk5y3be8fZk7OYTxHApPBfTcJKOrowZD9sDpVWEIS+DvooikRRFASBFvrzfd9xHPowT88oWZapEk3b04dtx3FoQLDnedRVPYTTj242H1mZnoGDqls4Lkh/ynQuME2roJr+iMi+w4RK/4Ig0MEGeuXCMKYxuq7reV5aeZckierv9G6WdbO+779/lv7Y1qQfwe1rOqYUC5cviL/eaP9z16Bv1wkXzpmsvrQv17jOi3vN9y3tLScNH4yxJCsTZi0DWJa++FXbbti7o6CovLCoaGR3x2C8E4jFYl/+8pe/9KUv2bZNv9pkWaZD8kPYmm3bzz77LM/z9957b+by1tZWAPj73//+2muvFRYW/sd//AddPmHCBADwPC8Mw16P0J2dnbR7WXf0xS9+se/Ca6+9luf5zDDrsQbVPuhXAB2BPtk9GjpRFDmOI4riGFf8B8SyLCpAy7I83uXOKIrCMBzLl0CepAXo8X4sYRg6jjPkO+oYgRCSHqehz60nu0dDJ4oiz/MEQRizp9ZglXFJkmRZHqXODB96tozrcwaYAM0YVehPw7op0052R8YEqT7+Zz7ypyR3zul6HN5WfDoKz7DeTrklhIyjrC76PdorLYQqdKMxkZ++RUEQIIRoxDBdTqNjJZ73ZHVnRlT4dJTkEdlOji4RSeQLii9oIoQ8ACKRlHEnp+UUMO73x01RZGF8amTDAACIotiv1A6gRYenW/8HADvlSzlBTvWf+9zvFjSN/htFEcaYasTpbA3appfdWNO0tNzZV57WNC1rojRFVVX6w47+JBqUZkrTJ/I3NdOzned5SZLG+FhRntBrNvMqTsvrQ9b0R5z03AsAEEWRBndIkiSK4hDOT3j7xkV/pNIqhemFhmFkvQ/XFXESh9yQAEB9h//PXebKKfKi6uIHXk9kTYK+/RNz7/r7jr0dWU6tTY22yIHX/0lnerB7f9OMuprBHtcQUBRFqakDAHr5nBpWCwbjBMNxnK7r+ZQTyA29mwVBsH379r6vtra2tra2Utczpby8XJKkjo4O27Yzzc6EkC1btgBAVVXVMLvEYDAYDAaDMWSYAM0YLXzfP8Umpw+TxcXSum4AACAk5puzutdWp17LbJBSJ3fEl4aplGEYQRCcGrZKmpkw2GJfuaGCJjUm0NOQyzIAACAASURBVFxgOphMX6XVCPcRVYXAAh4AMIlM4JtBqQQ75YU9ot6M3vY4E9Lywptnv6uGSAJCsCPSZyKTBhzvgn4eHQk5rXz8lR/MzWFx6UT/pdxtZniPB56yX7tkUBqfoiiZki6dJEvzndOpGllXzCEc5w70sCxLVVVaEEOW5TAMaW95nud5PkdeObVUyIqCB1mCLwgCQoimaWkNmpZJpEbsIAhG8OQfJahQQmebuq6bNeGEBlbouj6ceJORIn0CpGOjqV8790mVm6ynXNqD32u5bdtXLy349fou+t/XG52GTv/flsUvnytHWPzthi7bP3aK1hXieCz2nx9ddvhI6/8+v6+p57jzwfTI584sTG8qK3e82Po/Eyp5/sRZfuhFSp3mJ2ynDAYjE03THnroob7LH3zwwccff/zjH//4JZdckjlKpGna5MmTd+zYUV9fv2DBgvTyvXv31tfXA8CcOXNOQLcZDAaDwWAwsjK+/duMsQmdR8bU515IoohJVG01vrfxrguabu+lPtty5eGKD1IBK5lMnhrqM8W27REJUJNl2TAMVVVt20YIWZbleR6NzMuUhzzP8wFNRqkAEABgiCKEO0CcS7pKkdcjHicra6HzlycOcQLXCPJWEvMRl0ACxriZ071+Ertrg84xO89oyBROXDKgRx0B4cDBkZO/nEqnAGfeCuhHJooi1YipoJmep0mnB/YXUnm0G3nkY1iWRU853/fpbFZqUhYEoe+8KlqJTtf1omhH0vbxkFLX6ViIIAiCIBQVFc2YMWP27Nl1dXUzZ84sLy8f+zZSz/Msy6KjhgihvupzGtM0eZ4fg/NqJUlSVZUGaOQ+hQaFbdv9GYEV7C+rPTZXutMKf7a2S5IkjvjXLy/+93OL8dsrNXRFBxoPA0BlRdn3Vi376rtrpLfvLnEZAUCXPcApHRGob2wZgeMZJL7vp2e4MxiMEwxCSMkGna4hCIKiKJlfajzPv/vd7waAm2++ed26dWEYhmH41ltv/ehHPwKAT3/608M3ZTMYDAaDwWAMGeaAZoww7GG1P2RZvvjA93mSRdnx+IKmqo/lEH3GNTR4YThboLG8qVSK2lczcwAwxr3MiRhjQgAQzIAkQogA7CfaxKgHYdwR8b2iJlK8svj0op34WF2gg0Q9mKMnoT1v6uThHMuYItHVGSsopCX+9sI502AAEzSGaLL9l/3Ke1Ohmnae5kBRlCAIqOVZ13VqJgUAmulM29CP0jAMQgitBSfLMk17yAxvSVvdJUnKRyCmZwWNspEkSRK4muiFQ3A+zWzBGFMPr6ZpGuqoDF/morAlqn16p/XRBbGh3cGSyaSu6yUlJcXFRyuqFhQUAEBFRUUikaDhMGMWz/Oog5sQMuAn6ziOpmm+74+dWz2NgzdNczS6ZFlW1uwR3/eXT9Y2Hjg2WOiHZN2exMJaA4Loj68lbjyv5K51nUk3AoAfPNlwxzWFtNrMnKkT75hcs3rjW/+32Uw4ZOkE6dUDA58eT2xuu3HSSZg+T03xdALBid87gzEGIYSsW7eO/n3OOecAQENDQ2NjY/5bOPvss0djYBIhdMEFFzQ1NT3++OO33HJL5vLly5d/6EMfGvE9MhgMBoPBYOQPe5xgjBh0yvnJ7sXYJfXKr4uyqc8E8IEJV5vjJ+55CERRpKrqEDQ4nucVRcnMQ6C6ZPq/qqr2EoZUVQ1DP+R4G3gVQpfgOpQCjiOEFOOg6Xh5Soy88y+d2Z1fZzCJVkwqG+whjFlatzw1wV5PACLgD6tL+PgsPyUL0G9CBQVBZERNLj8rn4udfnBUHLQsSxCEKIr6y0r2fZ+qxoIg0BXpwANNhKC1/nRdz3NyQBRFtIahbduyLJdHr8mQmBo+FiGeyIID8UPCUrqp6mgdQiQi+Dvra4PIH7IowHEcQiitPqfBGJ96IQapVGqM5EFTXNcNw3D0BPG+0dgUy7LeO0N/dpcJAB+eJUwTm45AdVOHJYrCklrlJ8+3r5yqrtlrAQAB+NK9b/zm2rPoihjjC86cf+7S8Dd/e2PhBBUAfvVyrggOANjfFSZ6kvHYiJm7B0UQBGEYjshcFgZjvEMIWblyJZ0MRG87d999d6bgOyC+74/eiM6qVasWLFiwevXqDRs2EEIWLly4cuXKRYsWjf25OAwGg8FgME5tmADNGAGoQ+pk92LsQgjpeP3hKntX35ciJNZPum7s6DijBJUOB7WKpmnUOZtWnxFCmqZlfa9oXTtFUTDGYRj6vh/YtizLju9LkgQc5xK0G2KE9H762vvs1onvOz2vDhGyslwe72VnKZaVim/98QSIAAABcBDUWOvBWg8ABOCwOM/kK2u5NwVwMMqStlHib+kS5w5qj/RDzBqdoet6hHDoWTQ2gRCSzhfOlKrpk3N/OmBfwjCkYxWSJMmk24Cm9MEewmcmgwLHseku9uiX1JB1R9DCTy7i1jR4Q7Mq085Pnz49cyEhxLIsem/kOC7r4dOzGgBs2z65sUWO4wxKUyaEZNb/PIlIkkTV/1EaAaWZ41nVbUJIXYkAuwAAHt/hXz9fOid1HwA0lF5T23z//HM/U9zynDR52fP7URBBRKBhx+t1s4674XzsnKmHj7S83jjAwA/lB3/dc9snF43AIQ0JQgiNPDr1BlQYjMFSWVmZefeLxWKVlZUnbO9XXnnllVde2d+rgiCcdtppp5122gnrD4PBYDAYDEY+MAGaMVyY8Tk3hJDO1x+qMl/p+5Ijlh6s+njqVFefBwvP83SiOp3jTz131M3aVx1DCBmGYRNsAyeiAKIw7fHxfV+SpAALjaGQwL2TfwGAj4J5y6oS+fSJkDNjkaooA7cc89hWKrb1Jxiy64YIoMrbCt5WACAAbcJUk68s4ps16OLR0aiTCLgwDGVZzlHQLw3NzcjdppU3liafqod3i6JIRS6ayEEIoUML9A96n8lTgyaEmKYpy7Lneb5c3B2UFHDt9KWq6OUkntBmLEgmU3SDjfrZQRCUxviPnCYPeTQoU332PO/IkSOlpaV79uyhsnLfoQuqO9MgbACgqSOu6+aovjgacBxHI0SjKCKEiKKY5/08lUrRso2EEFrpkdYFPQG5HDRr23GOxpFTf/3o7Y6+P/RW07c6ZUw69snesTX+3zOnl3q765ruOVi1CgFqK79oSdD9Ye6RVmlWDy6sPbS6re3l+LLPiZIEABjjtra28rLSVdMLovDNtQ0DXFB2AI7j9M0xP5HQmQqSJDE3JeMdC0Joy5YtmUu+8pWvXHfddflvgY3iMBgMBoPBeAfCBGjGsPA8byw44MYyPa/8vtLelmW5NqO5+N12P3EEpxhUTR6wmSiKoihalpW2vqbFrEyLPTWTpjNJtxFjCqRioW3btiiKGGNJknhJbo+ENqwB9FtstWfznmDhzAF7xUXhWcV8PFYwYMuxDyGE2/57DvJy2iKAUn9vqb+X/veAfGat+BYApLiqMAzznPQQBIGSU7hHCIW8GIV+ETlokjqMOUJIr6QOhJAsy2m/LTXU+76PEMohglMtW9f1Bhu/YF9QgLxl0o46aQcHYQHsx2GQwnNkWVb/P3vnHWdHWe//7zO9bu81u9k0klBDCaGDSFFRKUZsFy7CBUFBf3Lv9eq14b2XolJUFEQEkaKCCKjUQEgAQXogJJtke++7Z3p7fn88y8nJ2XPOnt1kky3P+7V/nDPzzDPPzDwzZ+fzfJ/Pl4nVRH8GBmJ+wfdeP/iytfkk8Vo2R5fYwsSvgiCIojg0NCTLMjFWnvicRHtmOyTjKyzLaprmed5+G9UjscPTi79OskNhGEYQBCINx8PYZwJy3ckTgGXZiaLwvoVhGM/z0nm/uK5brLL9ZggAEYb/3r7mh8uiIm9nTdf9ANBb9JFBYXFj+UVaNFzf/zcAKHS2Rxuv7V56efmi5eT5lp+fzzDMl844/Oyh4dufbmwZznQh2rp6ltYv2ufHOFWoKzRlIYMQKigoSFyiKIqiKAeqPRQKhUKhUChzgvkwnZxyQIiiKB6ARklJGIbOKz8tTqU+D+Yf25F/apZutvMARVEyK3oMw2iaFoahYRgkEjPdnHdBEBRF0XW9euxFJtayPVJXolhoxWzblmV5kNe7uZz3UP4HKK+fVTPtEUeFxQpMFsRX5I58tDYvNycnm8Oc/Qy2va+HPdPbttZ5pTE4GgA8JndK8ijGmER7aZqmaVpS/KbjOAzG7+R8uth+fdHoH1zX1XXdsqxE2TqpM5B+4nkeSWk4kbgczDDMSyN8k80BwAgWNjirow9tWDToyZfdCnizJtpAlujs0Kgd3bBh8M/vWZqmCYKQ/TFGUTQ8vIeHb0FBQSwWy3CiUkq05NCCICDG2dk3YNqQEOx9ElQbRZHruvGskoqizJBljed5iqIEQWBZ1kyrzwBgmiZx+Em5NgzDyrzdOmwQwXPOkfGvpQPPVIw8jxAa8OTtRet31l4xnHMYA2Fp488at32wc+fOxG5WVJD/7c8c9fXTKrn0p61lYLb8agRBQHMOUygUCoVCoVAolCyhAjRlOvi+T203MjM6PChs/q8ct33iqo6yc7uk1QvHNRshlDm4UpIkURQNw8hcjOjOAFDU9fjippvbpdXv56/JRz4RvDRNa2TzB5A8Asm64WoYLZqQW89vbHGqqjPsTg7dY/To6CU188P3GQAwxqU9D2cuE0FqSZewxHrWwPkmWzkl1ckwDFEUNU3rEQs75ZJ+rUzVdydSC4Kg3B3kBHlzyRUDqH6J+xQACIIQRVGiKuo4DvGsSDwcjLGmabIsJ0ZiaprGcRzpLQzDINjdVB+YnqCWfGYgqMUv5MDuOzTA48feMhzcsGHw4femYFxuGEZnZ2dra2t8Cc/zy5Yty8/PT6cjO46TLmIuiiLDMGRZ3m8531zX3Yfhe0EQxGIxy7IURZmSjp89hmGQsaiZqHwinudN7IGEKIpOX7ZHP3mrZ48nRp61vab/LzzP+74fM+xW4bBtVVfsrL0KGBYAysrKGIbp7OwkhRFCK5fU/vySo885KLXeXZM/i9IAkvQPB9a7nEKhUCgUCoVCocwJ6PRJytSg+QYnBWPc1bS1rv2uFKsAdtVfbRgGxjM4P322MTFzYJKuZ1lW5lB6hJCmqg3Nt8SXtGnH7shZAQCyMahqWgeWd0FaXWYL5CYvwjhyfYwYLbAMVt4dB40xABT6Y4fXlIrihK3mOL7nSpB23AgDs6PskiSHWYQg33jHEitcvrhs+FnZ60GO76gFAGmNkhVFIZYO8WsqyzKO/E6lChDKHWgaLazrEotKfZ+4Z2CMjViMZ8wKRdlW+rHje25eMnLPFvF8UZIRQjzPkxDXdPGn8a7FsqwoisT6GQCI5QvLsh/veiin5y1Drx0sOaQ/b0W731DGtSLAibIwxoABedEeXah9JLhhw+A3TirkWIQxJk4aGU6v67pJYitCqKqqyvO8pODoOJnHNizL4jiO2GGnO+p9BQnHVhRl35opE5lYluWZmO2RThGeIUhKyZT+477vSxxygvHLNGjjfr6u2G+OF5DdTo11RgKOjJrEz4Yoiq2tLbm5eUkHwrHsJ0487KPHuN++/80hZ4+rv3xJ/b4/tr3D9/0gCPbbYAmFQqFQKBQKhUKZi1ABmjIFgiCYUWfPeQDGuHvLc3VDf5u4KkJ806LL98OE8VmFqqpJkhbP85MqzokwDFPAxaqbfx1fYrN5bxSdSj43a1UAAFP1KkCIP3hZsT92dEM1AJCJ5MTBFgAA9qvdM8aYzCdgGCadp8Q+wYoN62lWNRdfGPO5wDBggrgZg8XgADiGwa9FAgIAFSGO41I+CnRNq7ceZsELkdClHG8zJQihUntzTtQ2YlyY77UvR5u6R1ZuzzmJ4UVIsG+Oosj3fUaKNhdfeUL/rSvcR3vxEZayDABEUXRdl2VZ13U1TbMsiwxpEK05LgiGYThRPC0Z3a73vAUAWqxVi7VWMU+e/Lt1rqsBQG2NevJJZcWFgh/gX/yq0fMiAMjPe2/9ZSv/0be7P/34hcGT88IjDy8RRTEeZ53Oo9lxHN/3ky5ifX19Y2OjaZoT+7xpmuTo0lyW8VDiicuJp032kaeqqiKEoiiybZt0dbI80dskCAJJkrJPQpglnueR/IqTKvhThXSJfVjhpJBsh5IkkUscvzQ8z8fVZ8LG4PjzYLcA3V9wYsDnqRxOurlIzkmEmKDpOe2ozyRZKouieONFa7ftaL7thW5ndv/wEr91mpmQsmDZtWtXW1tbloXz8vLq6upyc3Pp/UKhUCgUCmVBQQVoSlYQjYy6PU5Kz9tPLBp9fuLyCNidtZebxoJIORhHVdXESNh4KjlzKqkXVUWqbr4zccmrpV/EaG9tMbgoWFNXQT4fkNg9jHH/0NBQwICsAWLHF8ZMzTOqSktm4r3UjfWnWxWEIcZs5s3jYmUsFiOSYhAEPM+TiE4ihnLYHMGlCIIC6K52nkvcfK13PwCM8MsM4RAltFmIkoJJXdctEwa7pOLX9C8eE/ttpfePNkZy2CJBUAVBcF2XpDxVFCUWi6mqGgTBpMktXbU0fh59XrvPOcd1O8jX1jbzt/fuSio/POLffv3beXn8+ktXvtqPAGBJPrrl51sBtn7klMovfraBdF2GYVRV9X2f47jEgFbf93ft2tXQ0JCkJC5durS7u9s0Tdu2E+VdjDHP84kqqqqqrutOOs5HZFBJkjLcSvF5Bo7jxBMeEhmdPMwRQkwCpMBMDDGS/IpEBCc6eBRFYRiGYUjaEIZhyjyNmeF5fj8PiKqqSs4bAPz0hYEr1+WxLIsQPPTWWFLJp3YGn2wQOTx+ZUuGNprqkhFrfMAgnk5TUZTy4ee1gUYGB3jDP7qXf7W8ZklSVcuX1N22uPbxze899r6xtnpW/89GMxNSFix33HHHDTfcMKVNli5desEFF1x22WVVVVUz1CoKhUKhUCiUWQV9T6BMThRF1PE5G7p3vFmbSn0GgLaaL01JdZ3rCIIgCAKJdBYEgWVZlmU9z5vqTHxd16s7fp+0sNDpGBLz96Z5XBScVK6SzHgHhL7+/kEkITE3ybAa8aLJi9uHTDGwWQAWRyWFBfsqLJqV0gVAQ3HsH/1FZ2Qfnk8kRQAgNhqqqjIMgzEOECqMbcUAvfohpagpaasIuG7mkNB1MQvdYo7mjiVp0LZpliK2T8l/UbxqydCzpc5rIlgAYLMlHfqZvu/H7UGIvzAAZOhRgiDIfeOmzE2Fx110G+84Hdkc3ciI/8sb3i4uEj/92Qa7fzxM+5kNne9vHf7Rdw9zXTeKItM0OY6zLAshJIoiieAGANM0d+7cOVGDLi8vB4Dt27d7nicIApkHQOJG4+HkRAhmWVaSpCAIHCfZuDwRx3EyW1RHUURCwoncybJsGIau66aLGibnVpKkfevCESfpAYgQIjeg53nk+SBJUqKanwTDMKIosiyLECIDIY7j7P8ZOXGN1QvhJy+OZCj5FLf+bP+e+Fc9ttXTD2NZFnBYPPjCQMHxXohc18WAGRwAAAJcuu2WwZbF8hFfVtQ9rizDMOeccPDJh8Z4frb/zxYEQRiG1I6DstBgGCZpYhB5WAEAxjhxtgr5aQjDsLGx8brrrrvxxht37txZWVlJo6EpFAqFQqHMe2b7ywzlgOP7Pk0xlA2D/T01nfelXBVTl8Z8HmB2T6LepwiCQGIeiaI07QEMjHF71ecamm5OXFhs79iRu3rabeMj/5Sq3Bk1u8jMrrZ2P78807umILnCuNIacwAPj9Rq+yDfmppbkm6VFvb1A5CgZo7j4tpllsS1RV3XAAAB5BuNoSayaI9HBwMBkUGXuBvfUc8d5YtHASoAnA8DqKMocmOjFVoYRngw79jt/JmyOXCY8ZAU9i9y/tKmnhGzrCiKdF13XZcIuElR9ruPSNMQQqNVx/RHOdf9NrZjRwwguczXrlx92KFFrhu5XlhcJF35tU2DQ7vF2f4B91e3vQ8AqsqtWJ577Nrin9+5s6XVKi8bH7cgWgOxxZdlWRAE0hKiQdfW1k70rRYEQdd1YiEiCALHcaZpEhVeURTf98kYANGIVVXNPGpFtk3pB0IOn3zO8mo6jkMiuyctuU/AGMfFGhINTRR8SZKIQEPsKUjuPjJzYoaU8Swhcr/v+1EU/fSxzso8NrdI3dqf9sfx0W3+2Q0IPpw2lGu8J7q9vaVnRxiN6avr2u9EGI+pS/uLT881Pohvle/swi/9Z2v5+bWrT0iqMCdHJ5MAZuDg9iXUjoOyALnmmmvWrl37xS9+0XXdL33pS8cee2xdXV1eXh5CaGRkpKWl5Z///Oddd90FAHfcccdBBx3U1dW1efPmG2+80XXdCy+88Nlnn52hfK0UCoVCoVAoswcqQFMykTkEj5JI/rY7Ur5tY0DdxWcECyn8mZDZH2BS4goaGyRXIoXT99GudAcPXVJ3AJWRnW0dQX75lDZBstYaYNQ1sKy8cG9aLskKAIywFZ38Kgu0llHmnZ6o38RhBABw9QluXMdUVTWdy3MGNE1b3HM3+SxguzFct5R7NQL2H8oXPFHLGW0/NHocISQIQkHQmT+4Y7hoKQB0ScWVMGCaBglrJTkJSW2YR5ZW8pJ6ZcFA4yHoWc1805OOtm0zcU6GaZpEqNU0jaQKBABd1+OW0Gr1QU1NzyU1dd3asq9cvtI0Td+3GQZkCQzDuO3m4xiG+c73XtuxczSxsGkGr78x+Pobgzk6X1YqKQof91OOl7Ftm3hiIIRM03Rdt729vba2NikUtLq6uqmpqaKiIgzDHTt2kKR2vu8jhIjPdWJh3/fjXg0pIS7YiqIkCdBkIIFcvswe04kkKuAHkPiPDukqJLfklFzj9zkkDyQZmwGAMAyv/kT11b/eAY3msgqxuEJvG01tTvU0f+Hp3vgEDj4Y44MxqeWXLbWXBazSn7euZPjFXHNbrrktaSsEuLr7D27PE94x39b1nMRVgiDMlR9l13UTXPUplHmO4zif/exnCwoKXnjhhUMOOSTpl/q44477/Oc/f/nll5955pkXXXTR1q1bzzrrrLPOOutzn/vccccdt2nTpvb29sWLFx+oxlMoFAqFQqHsH6gATUkNCes70K2YM/R8sLkmTDEdO0LsrkVXmnsmnloIGFM8ZEEQfN/XVBUQwhhHvtPQfFtLzUURI9a13ZlUOMdrA4xhSlIsxqWhcURdBcPkTqlh+5aunt4gv2waGyKEQM/bNmQuL1D3RoO+oef8D/qJrIwB9gjejKufxKg3e/WZ4zhJkljsLO65I3H5UuvZJun4zsI1gaACwGj+oteCS1lrOE9gXyi4areLN0KdcnEBK0iRj3AU7zmGYVRg7LDSkJAzVLzsleGcK//t+bvvjEgLSRkiUAIAz/OGYSCEFEWJewqTMpZl3n3nCYIghGHkOGFzy9jrb/Svv2DRxNERsuS73z4cITQw6N182zsdHSYA1NRofX2244T/ce3hggBE1yYu2PGEfmEYMgxDdGQSKhuLxZqamurq6uK2IWSrysrKvr6+0tLSJUuW7Nq1i+RR5DiOOEskSsme5xFvE/hQa055/omKTc4J0cSJXMswjK7r5OT4vp/5eU6ueGZD7f1M0tk4gJCodki4Rxzb/Om/Lrnmrh3bu9ztXe5lHyl6uhWHE1ToP32AT10ssLD7KHjwGlp/hgDvXPTVWO6hKPIXt92ecqc8tvhXvrUz72P1a06PJ42cW0RRREOhKQuEH//4xxjj+++//9BDD01XZvny5Q8//PApp5zywx/+8O6770YIrVix4pJLLrnpppvuueeeH/zgB/uzwRQKhUKhUCj7HypAU1IQnw1NyYaebS/X9D4ycbnPas3VFy9A9XmqEBddQRAAIRT5urmjtP9pAKhruytleQYiDocBSnh8YVyGrUOqij/o7OvGos/sttcQI78QvJUVRaKYN8PHMQmmaY0pBXtTAxKkbSNOQWCWFE0nFHpkLPah+pwJSZKyHz8QRbHKeil3pDHl2npnUwc6Kv61IBjDHIrFYmVh2K3uIcTHImZIKCj0Y5oG8XBX0zQBzArVMXhtLL+8pFhyvZBlgIi2AOC6bjwMWRAEUeAYiFgc89k8orfyvPzYEy2eF510YnlVpc4wbm2NUFtTmeH5RipUZPj2f6wWRZEMxRHbX9u24xsSF2xN02KxGOnAcf/iuGxqWVZTU1NNTU2iWbOqqr29vY2Njbm5uQghIp2na0yiSp7kl51IfDnZkWEYsiwTtZRENHMcR7TsiQHOqqoSvX6BjzhKsspzDMl1mbQqfq8lulFFoXf00pxXG8cA4FfPDPAcOmtt8Vs9ewzqYIC7nfMvkfZwsUeAAUA1d45JdQixLZX/Utt5D1k4kfqRJ8JnnxpceVVxZT0kdK05hOu6VIOmzHtefPHFoqKiNWvWZC62atWq6urqV199lfjyMwxzxRVX3HTTTY8//jgVoCkUCoVCocx7qABNSWZOuEzOHrq3v1rb86eJy12hqKX8s9bCc96YBpqm6bH3RKc3L7Yly034KAgYDgAARzXIXlFVwnN5AHDwosqDAXzfd12PYRhJEmdP8GDbmI20vZ2Qjjh+mMsb6upbUVk61W3v2rAr3arDq6S4kjul219mnFw7tfpMUGM9YwV15LPL8H5sCBIUvTi+pAPAoJCjeTFOl9HYAAlhJtKVYA6Vys7X/v3weHmEUFxL1XXdNE1RFIv8t4RobJhbzvidEV8himIYhhec1/D6G31VlbphGPGw6GxINNnwfT+lZh23DXEcR9f1iY4Ztm3v3LlTUZT6+vp4WkKe54eHh6faHqJ3Zx4bMAyDmJtzHEfKI4QYhgmCQJblRM8QEr5NXD4WVH7UdNiuf9Utjcuq1as+XZN4onRdT2lLIggCUZ8JfoD/sqnvtIP1ARCH7N2XddsAOLU5UjiWtHnx4AtGdb1hmBZivJqvlA09m2Mke3EQWPAL3/9Jb/Oq/KMu0bTYsgAAIABJREFUiqIpdJjZQ3wI50A3hEKZKRobG0tLSxPnu6SE53me5xsbG+MP/9raWgDYsiXbf34oFAqFQqFQ5i6zRZqhzBIcx6Hqc/b0dLXVdj+UctVAwfEHNmXW7IfkiGcYRnD7S/ufzV59fr/gAj1yDpP9k4v5jy3KP7i2gt9T2uB5XtNURZFnj/psWRbS9pn7B8op3N49MNWtdg6mTZh2RM3uDIfZ27Zqmlbf/0Dikn79aJfLby6+ML5keezv8c8DQh4RodKGQyJkiDmjvKpoGnmT53m+Uyo29WLkeznVFe+916tpmiAIibGoQjicL3sAMMwuU6NuFrsuX8kwyDAMy7JisdiypXIsFpuS2psltm1rmkbyQ5KsmxPLiKJYW1ubeMiVlZWKokxDj0u3i0R83yfJD0kKUNI8TdNM04zbqqiq6nmeaZphGB5w0+fZgCzLf9ncDwDb200mwYmb+KJMLC8IQspny7PvxlbmRTd8ZsW5B+dU6ihHRP9b/fBE9RkAuMiqb7+TXCPTNNu0E9rLLsjQwhCEIJjD2YCDIFjgIfaU+Q2xiZ/Uon3iWCb5aZhUuaZQKBQKhUKZB8wWdYZywCF2jQe6FXMJjHFV463p1tpy1f5szNyCGAJwHIcxVlW1quvB7LdtrvjckoOPOWpJbWVJkaook28wO+gaGE63Chsp3MMnBau5o2MphK10ZL67C+RxeVRV1SyHoDiOqxr6a5gwjWZH2aX94sohfU3ZyDMYxitkYY+X7aSkfCnBiOmSih0pByEECAFCNisNy4Uuw3/+sNeJ30Xi6E4sUAr89xfbf6h3HwMAFpzF1h+iKNoPs/6jKDIMw7ZtXdcVRYmiSPmwT6qqSjQFjHHcq5rAMExtba2iKCRaeUqQdIsZNiQNIJebTGdxXdf3/UQhFSFEzBwSdfyFjO3hl94bv0OZD7uNoigsLz28sVvTNOLTHS8vCMKVv9o+sZ6V1dJf3rFe2dJ+1rpVP/j82v9ZfzCP0953bOTWdt9PXFN83x/w1V01l6crjGpPnj3DadODTBQ40K2gUGaEFStW9Pf3//Of/8xc7P33329ra2toaIj/PA0PDwNAfX39jDeRQqFQKBQK5UAzt99nKPuKIAjmornkgSX2z3sYSC3VdZafa5h2ylUUXdclSWIYhqRra2i6mcHZqmDbKr9cufSIGW3eDOHLesrlnB1jZC3lqklAqN+YgprTNzCUbtU3TymK67kkHjObCgVBULxOFgIM4/61pSMbOI4rH35G9vvjnrYRJEqlmHhBZCMNj/KaqmlGLFbl9AOAywqAEAamwX4QME4M0/Y8r0c8LsYuep/9NMaoxH8TEGIYZtJg4X2FqqrECdr3fYSQrusk4pikcyT6b9ImRK3ORo6fCPHuSPSVjkMidolXtWEYJMwZAIgyrn3INHY6XyEdSZN3i8ub3h3UNI1lWcuytjUPPfvG4Ctb+u54sv2hlwdJaDkAGIbxs8uWTayt00QAcNcLvSTYXFZU85gfZQi8F/2hxW2/jA9ajJlOc9XFKUsWf/CT+ZGYwXGcmZiLQKEcWNatW+c4zhe+8IV//OMfKXs4xvjtt98+77zzxsbGjjzyyPh40vPPP08236/NpVAoFAqFQjkQUAGaAq7rxqdmU7LEMs0i692Uqzw+f4Qpoe/YE5FlWVEUjDHxsS0SrCXNt2S5rcdofYd8u37Jipls4AyC+NRSYyDrmN3DigGFAfY9FEwuNgVpRO2UJEbgJsGxSNfHq7JtO66yZcayrF2lXwSAYfWQXaUXA0COs3Npzx1JxZrUExO+IY4XQl7qkIonqR1jAHAQzzBM4o2EASGAJc5DFcy2eJuJjNvPH1YVvrRDvgAAGAhzg51M5MTLzCiWZZHMjTzPE22d9PAoinieV1U15cnnOG7x4sXTk4NJCkRFUYjxdHw5CTJNCtf1PM/3fdM0jQT2z5mZ/QiCsKXV/92TrfElv3+mK4ywoijfvKNlR6ezpFK695k+kYN/7jD9EMXHTmKx2K1fbviv8xcJHAKAQp390ilFQTjeW//y/Nvkg56TO3zot+MTAibCYL9k9KV4DwnY1KMmDGDu1R/ND4Ms13Xnx4FQKHGuueaa2tratra2E0444ctf/vL999//4osvvvvuu+++++7mzZsffPDBr371q2vXrm1qaqqsrPzWt75FniS+7996660AcPbZZx/oI6BQKBQKhUKZcWhOmIUOnRI7PeyON/PSrMKA6Nv1RFRVJUoZyXuWM/p2yeAL2WwYAtddcmbxipPyZt5RYebAKL0ElYAy3AUAGCDiRVcrnKQ0k1ZTnojApy08akd5yvhaVVUzp7mLw/O86A8CQIH5jscnNzUE1mQKn+447Ppb3vnO9yV9eT0gBABdcnrpGRN5GQRrRHANI79Kxj5WlM4EtZqD8YkaDpNPrC2iKCLZAmVZ7pVOqnGfAQAT541yDfBhksCZJooiIvgmBY+7rktMflNGfNfV1QGArutZnvCJkLh1QRB4no/vmgzwTExXyHFc4kAj0akRQpZlLWQjDsdxVIl9eeseRthX37aVdJwNb4+SJUwQAcATr/Wcd1xF/MRalqUL8OOLG17bafz5jeGH39h9wu97efick0OOYwGgqKSsZ+U3i9+/IeUTAAPkjr3bn3ccuYKGYbRWfL62676JJcXIaH/nidLDPrH3R33A8TyPZdlpWNBQKLOTurq6jRs3Hn/88e3t7Xfdddddd93F8zwZWArDMD59obi4+Jlnnlm6dCn56jjO+vXrP/nJT5588skHrOkUCoVCoVAo+wsqQC9cMMY0KdD0iKKoqPfv6dYO5x1JEp0T99X92bDZDNHggiDAGCuKUty8cdJNBuUV3qIzC0oqS+ay9DxOhLOZcGLllaMoTIqJTseUtFUtvR/FLzYPXnvquMjruq4sy7Y9iYEMQigHD1YNP0G+lo1siK/qZpbd/WLJX57oCkIMsAMAvv+dV8vL3r3m28fwRYWyM1gOOxkUceAXSj2bYX3EcgCgBI4eWgB4hNcFntcZMc/pdxwnUnZnbmSikEXjUqnJ1ihhDxJKgzAk4q/ruhzHtUunVzlP89iSwl4bChDLMwyzHwaELMtiWXaikkuMOLq7uysrK5NWkTuiqKiov7+fSMOCICCESBh19rqw53me58myTBpArh2JcY4nGFQUxfO8RFU6ngtrolS9oAiCYHEZe/vXV3UNuprEfOvOxjDCQYiPPUhPVKVf3hr75InFzX0usSAnD3YiMAVBcEg1v6Kq8n/+0plY8+PPv/mpjxxJPpdV1vjvcyykmGk0pq8y5brikVds8VDSUUPgQkhduDr2Yv/wutz8yYam5gJhGE7bhYZCmYXU1ta++eabv/nNbx577LFXXnklMd8gQmjNmjXnnHPOJZdcUlpaGt9E1/XLL0/r/E6hUCgUCoUyz6AC9AIlMSKDMlUGd/2zMkodOe4jWfAGWW15lka6C4cgCIhQKPBcXesvUSr5FAPqW/kNUdEZxPCipKd3jZhzsGMDUUHZ5OUQSlSfURjIY30hw7m5JSkLZ9+AzMYacRcHURSzkSMlSarpfyBxSTuz8jt3C9u3xzzfB+hMKt/dY1975fM/v2n5kTXvJS4/JnzkZfYCiKK8IGYZBsZYYWIYYxNjPrfA0VSD3d1syRqMf15s/3GXfD7xOwYAjuMEQWAZJPldHdLpxf4b1d7zQ9zyYWaFoij7QWAlwyopd4QxHhsbq6ioSBkHLQgCse9QVdW27fioFc/zsiwTkS6bcaz4mEHK8QOEUBAEQRCoqpr0aLIsK5shh3kMiRnPEQEw3Pa1lV+77X0/wOtPqzrnePybv7Vvbx8/XT39Tsso+tGf2//fWaW6rpPAdtu2yeABA8H/ra/55bO9LQPjF+vel0fOOTWKG6RgxAHeQ1MOEc9iPyf2Xn/hKUy025XCxuJo7qEFo6+nbG3O+7fBcd+bgdNwACCOMaIo7od8oRTKfqCoqOjaa6+99tprTdNsbm5uaWmJoqi2tra+vp66HlEoFAqFQqFQAXohQpSIA92KOUxR91/TreKwPZB/bOD71AM6EUVRyFxUlkGLm29NJzZY6/43nxfSrJzbVJcWtU59xAeznJVXnlZojkKAKcxhlzmw09z3zIe7CIIgc8gwwzB5ol889gxABACPD5113Y3bowhHkQ0wiYh51bXbH/xVQ7E8gFjJw0oh1ySyztHew6+js7vEohxW1gOLaLgMw1iMaHF7iOZcuLt+BsLF9h8AmJ3auYZhEHm91NnssKWy93Y/f6gdqgIEMcNRNIGk5svmFE0VhmFkWfY8LwgCYgOSUsm1LGvr1q08z4uiWFtbm7S2qKiIqJmJpz0xeo7EL0/60BYEgcRQK4riOA6pTZIknudJjlnH2W2KzTAMMWQnmRJ5nqdDkgBgWeY159fd8ECTwHOuE7v07FJFURBCrhd+7baty6rlHof/70e6Dy5jV1ZJD71h/uDcCoZhyOk1DOPiE/I7RqI7NvQBwHUX1Nz/99c/f/ZRpOaI4SHcY9iSxf6uyn/BnNbQcmvAKP3FnyOX2PO8buUINrRyja0TWyhGRuuud8oXHzLj52J/4bou1aAp8wxVVVetWrVq1aoD3RAKhUKhUCiUWQRNQrjgyEbIoGTA81wxShtQiYENw5A6byRBzGojz1rSclsaI1Rkrbuen6fqMwDIksSM9E1jQyb0OSdNf8siUWEin1qtpFxekcsFIZYUTdM0ORrWFDFDxkJVURb1P6S6bQDwpP2p7/3vtiDAceGUZZEoMsuX5y1fnidJLAAU5IsP/O60//nh0Q/e95HCQvH+x6EHH7NjpKHXrR8MGnZ4Z8isVW2/AwiN8VqnXKLoOZqmRVGUHyQfdbTniCkDEQMBAiBRvQX+u3rUWRy8McwfgoEZE5Zy2Kxl3kQIaZqm6/reKFyJ24qiqGmapmmqqpJdE1tzMsqSbi+O48RisaGhocbGxkShGWOck5PDMEyGMG3LshiGyZyuUNM03/cNw4jFYpZlEVlZ0zSS8C3+RCL5EhmGIS23bZso5qIoJiYzXLBgjIv16OdXH0Tk+CiKyCllGXzjFcu3t9vFyJM49G5P+Mc3zQiDYdqiKManF3ieV6ZF3zi7AgC+/Ye2h18fjcv6Uarx/kU9DwFifFZvrv7XxN9lz/O6ck8MUernYU3n7+aZbbfrunTIlkKhUCgUCoVCmd/QCOiFBX3N23uGdr2RQQey5ar915Q5heM4i0aeTbkKAwwd/h19viekWlpd0djVF+kFU9oq4oSIS61DseHUBGgmTdLCrtHghuf6yecfHb69wt+6o/wyYh/MsqwmsQz2MQACkLy+4t6HAeCJgdN+dW93V/c7AFBSLC9blltbo69aWVhVKZNp9QBAXIk9zzMMo7gIxWKx/7vu8LhPheM4/Uw9Qhgh7EJRbqxzVK8EgF4uB1i2iOEMJvmoPV6FCSM7efbrwOsj6vIhOFj1W0UwASC0+hRZwMDE5EOY0AqRhBgGA6/rYvy47vld00dOq65bpJHREYIkSW3tVn1dzsCgU5AvMAxDApM9zyNBmiThIdFzRVGMP07DMCQ1Z7ZUjqIoFot98MEHxDPE8zyiDmdQ/MeP3fOIiTNpw0SHH4xx4rM9DMN4MxILh2HIcZyqqmEYEs9olmVJy8n1Wsh+0HESu4Qsy5YH37x9e0OVAgA7O52qoojTZcPFALCr3z8iFydq91EUqaz3peOL79nUDwA/vPeVH/zrCZDGsZ0N7fzhV3eUfs5P2CPBcZyekrMqex+duBUCGO7YVlS7cq8PdBZBPNyJTROFMtfBGA8PD5umKQhCoukzhUKhUCgUykKG/q+/gKDq896DMa7oeyxDga6yTzpUwdkTnucBQJIkzWpKWaBPPTw/J2//NurAsLSiZGBgcCBkQckUzZoleUxyFKRt2z0jMRdxWBABMci1VQgqS4qIQFZaoAPEUtW0m3J/KwCoTrPJlKiKUj78lDbamlggAP5bT6976pkmAOA59KtfnMiyEbEggAQn4qTPhCRnD8/zarQmAFiuvRRhtCn8TMQKoxHDBT7rBoGem7S5p+RiF5ICjIvRLgiAx6P9wtESMgFgifMQMNCOT/H8sCp8LsRMd7TMVVdWic2XXDtw0/XriJq8cVP3xk3dAHDfb091XRsABEG4+94dPT2xrR+MnXpy5YXra1VVjefxS3KoIJHO8QNPPOpJLZWJQJ9IlgGtRB2WZXmiqUj28d1hGHqeF4+Jjh8XafNEk+gFDkJow5t9+Tq3pWn8wd4x4H1iibaxNQCAP75u/PF147rzKhI9TKIoaigRqwqEjiFvS4f75OYta1dV6eEwAHSWfFI3t+WY2+L1y26nx69M+dMc4ytsqUJ2uiauKm5/yK/8DsfNq0E7EgNONWjK3MUwjHvvvfevf/3r888/T56op5566rPP7h56v++++954442jjjpq/fr11HaGQqFQKBTKQoNOuV0QkJhEqj7vPRhjDidLTolkMM9dsIiiKElSphKLTt1fbTnwFBUVLi/NW6IgPDa0VxWFQUlxcfxbR1fXtv6x1oB3tQJQcxAvIo4HNcdUC7aP+X39AwBQXVqYuUqFB4Mt2YmOePWtUUVRoihyAtgUO+654eMBAAPYSD//1mVPPdMtisz3/3vNvXefGobORBE2S4IgsKN88plBWLEHAYCJwhJwREk0vEAa699zCxTh1JHCeWFzg/3gaLT7hFR7G0qYlrGoqDtaJooCIFQQbP9/l5U07ejS/Ob1n38mXvLz//LcH/7UfsddO6+6+uXDV0v3/HvXE78u7u0zSVbAdI3HGKdUysIwxBirqiqKYvanYkrYtq0ou91UFEXRdd2aEEKbDoRQBrcNkk2RioBxWJZ9a8dY38geww+PvTJ00tLdBuXf/lOX6eLEPJ+u615+anFNoQgAD7zUp7/2HbK8tP/viepzhDjJ7VFVNeWubdtuyv94b9HpE1fxkeW88Zv595seBMG0nycUyoGlv79/zZo1X/nKV/72t785jpPyKZqbm3vzzTc/9NBD+795FAqFQqFQKAcc+pI5/8EYU0vifcckL/zURzUJVVWDIODT22uEwOUVlWWowTKNWN/7xdEWDnkAyMdiF7uuetGyGWjs/oNl2RWVJUMjI70gIXY6z+F8bwxAAgDDNDscAL0kXUnEskNsntXaVltTnSehESd1H67OZd56eNtJd2kAw+d+qn6RaaqqesY3WIy7AKC8bCXDorExLxazLlzfcOZHqxzH2Xu7hp5YjpSzKJ9rGXRKQ8weZD7b4izr0ssBABD0S/mcbeeHlqONS+ch8CykDhZGAAIb7pDWs5GVG+5i/cFc1JvH9OZB707u/CX2gwBwRHkTxlhlRi+9eM0dv2k+4rCCW746gAEBtAeMJoLXwxTuQp9qQI/s2JkXhmFmu/wMds8AQPyX9+LcZCKKIkVRiN08Qigepp0Nvu8jhIj/xsS1RMgmg0ZE31zgAdGWE/QOpZBETW+PscZfvzBw7Sf28F+ybfvy00r/86G2Qm33jwKH3c6ijzlKNRcaPpfnuG6GgYpxUxS+PuUE/gJ3x65tr1avOGaKBzTbIaY0Mzd+Q6HMBGNjY6eddtr27dtzc3Ovuuqqgw8+WBCET33qU0nFVq5cWVhY2NXVRRLAHpCmUigUCoVCoRwoqAA9/6Hq8z4EIaovTwEiIpSNbB4sOqmm43cpy3TUXVKe5jVseHiwYPiP+cjJh92zNXjkNuC/u7s2RHWXzXW5vyAvLx/jzq5uQ86DqSRgxLZZWlICAIZhdEQiCJO/xzoFFUEQfPUjNT94fA9LjZpcZm0l+9jDzX/952B84Sc+tsjzLMMw7r/3NACIvypHEUQYB7470URiemCMR6OafGgpEHuPhicRgqF2rpcI0AAAELB8P5OjGiOspGBOMKCgAFI4EhAkPASAQ0YZgJW2Z8uSzDBMg/3gYuePpICKRoiZ9XlHdd7xG/jBFSAzJgC0MB/10XgUakP4CAJw3bC5xSgtydTBMsefzrS4YNs2QkjX9WlcC8/zdF3PIFsTW2qEEPGMXsh5a3mOKdC5oVjyGdjSuYcqPWRFiYI+QkiWZdIFGIQ8RhWicR3fUusMwwDgAAyYYO0SR1VV8nzzw7SdcHH/n7oKa4tKytMVmKOQUXOqQVPmELfeeuu77767dOnSp556atGiRQDQ15ci7XBpaWlxcXF3d/f8m75AoVAoFAqFMilUgJ7P0NjnfY5tWxneibtLz6YpvOIQ2w2GYRgIG5pvSVnGZXPKa5dOXB6GodH0WBnXmuz4+yEi43btfLJgyZlzPYYIIVRVWUE+N3d2uznFmcsDAPac5cU5ABCGYUfAAZvtGdg1bNbn5/Y9tX0s5lvWuFj2LsATexZTVQ5gXG6b2J81TXPsfSZHaprmAwIAhABj6Hm6v7b9uV2L1kaJ+RIRMgUNIige6pQeedwJvJAThhqOdSoaAk5QZbta3EZ6AQJYYj+0NTh+Ef+Bz+dFrqtDT9LZISXzmP5jjqwrE8a1eB/JjuMIglCC30UAGOCaq1dtfLHzwvV1GbTXdNIhYUbdeBzHYVk2CIIpxT4nMrHxJDOh7/thGPI8zzAMufpk+YKVSxBEl5xd85M/NgfhHmfg9IOUx97ZHRtepDJvtphHNeSSAHMy+x5jfM3x4WH8O4JtAsCQ1JDrtiYFnhM3Fdu2iamLLMtRFDmOgxACjFVzhy1kymBWvv2nfskN+/B4ZwnEN2wS7yYKZdawceNGVVV///vfE/U5HZIkiaLY3t6+YJ+oFAqFQqFQFjJUgJ63RFFEvRT3Of0dOzMky/P4Ap1Xwwhn78c6X5FlOcdtreh9PGRENko9CoIBBpf/W9GE5ZZpar33lHCT9N4KvnHUPWU+KRR1leXbu/uxlp+hDHbtpfkKyUG3o28YtCkkb8SSet76hwYGJhmUuvF/187Qo0NV1cRbQ5blcu4tne0FAIyh8yWvqOUNADjttxeFvNS/4hRfVBMGGLA83MkEHgCwgVe87QXY9gJZMaYWuGd+tIRtIV8P4jYBBggHMrSERcF3Lt0dWLokfNTjVQGP64ndfv0xZx911Elj4cigKIopPSgQQoIgpDtRDMPMaNSwJEl7c41IdHPiEoZhfN/3PI/jOEVRXNeNjz2YpimKIs/zC3N0zbbt4hy4+crlvSP+/923y/9Qhn6vcQxg9zDJgBk9995YTT5TVqgDQBAETT2xJ94xJU4o++gn6lt/weCgwNm5o/Yq2zAAgOM4hmGI0J8//MpozmExJwyCwHVdmcMHDT5gi5W61YgB2tTjMjQP4aijubGqLsUw3jyAatCUucJ7771XWFi4evXqzMVYlmUYJnOWWgqFQqFQKJT5ytyewE5JB8aYqs8zAZ/eJ2FUXx2xEgDKM7elSyq1EOA4Ttf1xV33VPQ+DgDp1GcAaCk6p6g42f3Z81yt9x4eZdV7O1u3701TZyHLyouF2GDK2CiMsWIMLi/UWJYFAMu2p6Q+AwBCqLBgklntp5xUkZDfLgUpjYOzgUiciXHBPIcUZjDAPAC0NhUWbd0QX8X6Ttm7f6v+5x+rXvvDh39/LNzxcsqaRXMo508PdL6JYlFB9u0p4fewIhFgXGWOMGNUnQkAyLaIzcXEbYlKm0GQjaJoRvP4MQwz7Quh67ooiknNi6KI53lZloMgsCwrqXLXdUlg7/RbPMexbTtHDG756kpFHP+v6a1d5omL9jiHXzkl9+cbhv/zwdb3WoaefmfIcqPesdD2oazvb45YHrAKACCEJElSVVWWZZ7noygKgqBTPCRkRBIKzTBMbcc9XGjqViMAIADd72rWT8nQtrLuR2bqsGcB+8rth0KZUfr7+1mWFYRJrLTIj/tcdw+jUCgUCoVCmR40AnoeQmOfZw6WTxuNlRvbolq7uNACAEcsjeS8hRbkghDKlZmKrj8ykcuHkyQu69TXVq46MWlhFEVc+708k23vVZjh6TR0dlNfURoEQc/AUCwElFOAHQtZsXxVKszL5XJ2T8ZvG7GQPgXbaACIfG9741i6tfn5wk9uXIcjL7OzRBAEJP56SrsGgCiKiHQex3GDJjiVA6dO2Fjwj79PtcIkCne8DDuga/nx/OrKYqY1Q8k3zbW/ftxYf5p6fMVbaEJa0W3CJwWWAwAceJqmTbyLZVkOw3DS1Hy+70uSNEPymeM4sixP7wlDhgEmztIwTVPX9XRbua6rKMoCn9thmsZNV6z4jzu2j5kBADz28tAZR+W/0jEu1v/or+OPo2e32oDQSzttABBY0KydANBa8Tlt6HVyF8heLwpsPox1MfUAgBDyPG/x4CMd5Z9xXM+WKjW7Kb7TAq+pwGuKgGEgtakLH5nzezK/4ziiKC7k8Q/K7KegoCCKIt/3EzXoiZ3Wtm3HccrLy2l/plAoFAqFsgChAvQ8hKrPM0dO22MZ1rZXfm5R26+7yj9dNLR5KP8YGxZQHDTDMDki1LXekU3hHm1N0eHnTVzu7ro/j5tE10sE4/kZRsRxXFVZCZBoKU1HKGdiGaRPLfwZAIZ2ppVlb7/tBEUBz5tc0Jye+kxIEqA9z/M8TxTFXeG6SvPJ6dWZRMG2TbANDEkDQL6c03Pi+hx+KATeiPJ6huFPzw139HqjRh8AfGeXJfLVV60vO6Vum8qO6/LNzqrLr3j+R9etKVu5AgBIFr7E+jVNsywrG39nYmchiuJMGPFPO/wZABzH0TQt5c9EZtsQ3/dVVZ1UeZ/fmKb5f5cu+887to+aAQA8+drwcatzPhiGIKFHdI8G13+2FgD+/YFWlhm/WcYc7Jd91IzFAMAETdPKHAANwLKsCn9bTD4II76h9WcBq7JhCpU/nfoMAFxkj5qGomr79EBnF67rUi8Oymxm+fLl7777bnNz87JlyzIU27lzZ2dn5+GHH04FaAqFQqFQKAsQKkDPK2iuakUWAAAgAElEQVTWwRkliqJcL1NkZV3bnWPaQYUDGyV/oLvsHPAXimWqpmlgD9a13TdpSQzQWnpexYpjJ67q6+ms5jL59k7EwlOwXJiLpHtHTSuAYiyYw56aB4BgwrZPPrEr5UY3Xb+W47IdtyIRXtMb5TIMQ9O0JOcK13UFPaftSzdrO19FvmMsP770iZ/wQ50TY5NTEvHi0LrPWrWHSj07ip/5FYoCAOAcAwA4J1b36I8/1f5Fy/UBUoh6ro9v+l33TZALkHv5ZyoOX2R/9vJmAPjaNf/IyXnzlz873vO8uOCOEFJV1TCM7EXYIAgkSZohQ6RpDwPoup6u/bZtT7xAcYgLB8uyeyN/zwNM0/zfS5ddefP7EQYA2LxljGXQmkMLtvXsnjrw7w+M/1K0D0eNZV8oHH0jVwLDGY8xt23bMAxJkhBEqqqGhl7fficpz2WcO9JT+JGywWeSFiIA8e1b8LHfmt+SFvWDpsxmjjjiiE2bNn33u9+9//774w4bSbek7/tXXnnl2NjYoYceOr/vVgqFQqFQKJSUzM/4wYVJFEVUfZ5R+rrbJi2TY2wdY0ua9I8AQrqua5qmfsh+aOF+hmEYRVFyZbah+bYlPZOrzy6b07Py31OqzwBQZv0l5fIA0hpN1MzT1FuTMjg0lG4VikI8NjRRfQaAIEwhWZ736fr8vCm8CWOMSf607DfZow1BkBQHTTAMo6dsZXf1ETHTajr1ivYv/XTksLMDbZIBhr7Tr2g+/7q+wgbDMAa08pYLr3eLavZoLYDjTR6tDAC3P9T15euHP3p6BfmqyCxCSBRFVVURQsQfeRpZ+AzDCMNQ07SUR703kEDm6W2bIYLbMAxRFGVZnrhKEIR0qxYapmn+/JpVpx0xnkI1jPCrbw5eeITCTriTNJFZfvDROUddjEJXddpr23+DIk+WZYSQ4zgCC3WttxeMvJLlfssGn3GZFBddDoeH3vrTtMck5grUD5oya7niiitycnIeeuihc88997XXXkvqq7Ztb968+Ywzzti0aVN+fv7VV19NBWgKhUKhUCgLECpAzxNo1sH9gJ2F/2mXckRR08vFA1ssy4rFYoZhmKZpmqbv+5qmzbPMM6qqVvY9Xt92B0o/PTxOZ/m56PjvFRaXplxrxMZSJh7EgLqZtSk3CTHL8/yUGjxvsNKZ/yLk5hSj3KKJa6K+jk9esGLi8tNOqcrGUAIABEGQJImYsWa5yUQcx+F5PtElU1GUpJGzKIoMw+iqX9v56e9gSPuWPrbq1OG86sRtbdvuPfvrned/3y1eFCg5ADC8+JhoKqLcm22OrnMAkJcnkmM0DIO0Nm5/7LquruvZ5xgMw5BUss/TElqWNY06M3t8A4DrurZtT/SD9jwPY0xFQILneWcemfPNz9YzH/bQ2x/v4Uz70Oo98nzmqSwAmLGxyt5Ha0ae5kOjtuMejDEZkAiRwGJfCEaz368YpR4FKTde7dv6/PSOZQ5Bux9ldtLQ0PD0009zHPfoo4+uW7eusLDwrLPOCsNw27ZtJ510UmFh4UknnbRhwwaO4x555JGamprJa6RQKBQKhUKZd8wrOWzBQmKfTdMcGerv7+nM7ONJmTaCMInc2aYdW7bzOQCIFa6ML1RVlWVZz/MMw+A4TtO0dJEvJMqSMPvnGuuaVtfyC81umbRkn3Lw6NHXFS9bl6FMbCh1dDkCXB1tTLmqnTlpwcYQ6VMMqI9GBpiSqtzaqqTly5flZRPPynEcybznOA551Exp70k4jhMXoFVVtW073eCZaZpO7ep09ZhLjp7oBWEYxmjEtp7yb82f+K+u87/7ft4RU2qb7USnnFUDACefVMkwDNGgXdcloq0oipqmcRwXi8UwxoIgZLidk2u2bVEUJy83FaIomlKdPM8rigIAk8rW6Yw4iHHElBo5LyFDX6qqLq5Qf/H11ZIw/q9U34i/8dX+k+sF/sN4d8uNAKCgqCQ84fpedU2fcggX2YrZJEkSx3GGYfTnHzfVvUdp/nOrHvxb1/bXpndEcwjHceZ9rDdlzoEQOvLIIx955JGDDz44CALLst544w0A6Ozs3Lhxo23bYRguWbLkgQceOOGEExbsvy4UCoVCoVAWONQDes7T19PJb3tQddvz8biIgwE8Nren6NSy5evov7n7kJKKRdCcdm2rfnzV9sfJZ6tkdRiLkc+8b0jhmKdXxWKxeNY1juMSIzeJz6woinHRZ9qT6/cPmqYtbr51UpfeIWkxs/pLeVlkx8oNtk5pOMyOtLL6VVPYYH5RUFDQF8t2nCka6mEKygAAsdwnP1H96GPt8VXf/faabGwlOI6z08VcTwvirczzvGVZmbWk/pMuLvn7rVJf08RV2gebRlefmTIWmwzCBVp+7ar8ny/1BEEciXkvvzXw52c6E4udckzxhR9bBACuF0YYrvrhmwDw3KtDl1yx/MRjKxJLknSClmXFb9swDMMw9DxPkiSWZbMR5WfCOhkhpGlaFEVWxvkZxLuZPGHiwnoGEs2vkwjDkKYiJAMSJM+kLMtXnbvo5j80+R9e3kc3D+Sq7JnrSv7+njlsjS8VJali3b9gjLtevrdk+AV28Omm2ssxxiNwWPHw5intnSQkjIBlILlHLer9wy5WrW5YmWq7+YPneYIg0H9vKLMKhmE+/vGPn3HGGQ8//PCPf/zjvr4+MmuE53ld17/yla9cfPHF1MKIQqFQKBTKQoYK0HMbyzIL3/5R0ksYAhDD0dreR3DvIxiYxoqL6pfO89fR/UM6w4cBaVmvctjy934ZvxBx4UbTtNqXvg8AEcM3r/0WEftc103p1p0oBZqmKYri7DT1lmW5quuhzOqzxea7h39dyzpQl8eT25vsUX/J+drCVh/CriYkqUxuEUxmLoyk3QMAp39qVaIAnWUg4T73jgiCgOM4oiJl9g4yDMM68RKe5wWeZ1yz4o/fQ+G4g4S+bRN/+Ccy3yPknvI8j0Nw0prcs04ojyJ45a2B3z7a8rP/PhwiP/bhQJGqqnf+cA35jDHGGBM35HiDiYfGRP8K4gmg67rneZkb4/v+PpduyQHyPJ9ZVtY0jSS+g4wG0HE8z0sXBE2GIjRNiweGL2SCIIjFYrUlckWR3Nq7e5Bm1AwffLr7U8cXbtjlk35OliOEKo79YuyFH0nRSFXXAx0Vn5WczjR1T8JE9ZlQ33X3LubSmvr57I/f2fhmZffD4uk3HeiGUCjJ8Dy/fv36Cy64wLZt0zSjKFIUhcyEO9BNo1AoFAqFQjnAUAuOOYznucKL/5FBhEMADETLu+7q7mjZb62a3+wsPCdA0hhf2aif2c4cEXaNRF0jBU2vrkhQnxNhovEw1aFFH5lSBjOS6m1fNDlbsp/LzzMguz3p1rpsTvfK/+CO/86U8i56KNlwNgMdaK2m52Zffv6xrWeArahnCkrj6jMeS52WENsGUnYL0GL+7vOG0OQCNM/z6YTIvSGKIhLAmI0rOrEYihnGqI93XfCjjs/dQJaPHH52ZgE06eiItbRlGYcsk371/cN910rc3DRN40NM0wzDECGUeA9alsXzfLq7MhaLkdDgDO0hEdMzYQRPBP10a1mWtSxrStZMoihmFsoNwwiCYJZP1NhvMCybq7LnHFtw46WLEpf/edOg0TO2s2UPiRkhJB93bZ+0IgpDb6SjaGBDe/ln9mFjEEBDxx3D/d37sM7ZBhuafGSNbPgf6sVBmSV861vf+v73vz84OEi+MgyjqmpJSUlZWVlOTg5VnykUCoVCoVCACtBzlyAIgo3fTRcDlYTW88IMN2ehIA13MJ09Wuv7DdsfqOx4LqXo7En5ROvheb7mtR+ThXbOlHPO+L4/c1OMydsRmRlKEARB13VdlTMnWGMYpqz38ZSrMEBz3ulw3HcLi0um2p4R/uAsS3bjlcWLjp5q/fOJjq5uUPOSFqKcgmiod2JhbO8hIyJeLCgYD8bEGDwvk3xDvB32ufo83hKENE2bakoxz/PGHK/tSzf3fOwbwwedkjmYN8Ptk9mwAgBs25ZlOUksdl03MX1iEsT3M7MrtO/7iqIghEiKv311g8uynCGQPAzDqabr5Hl+UmmPBIkriqJpmizLuq4vwKSg5FK+tWOM55iaEtHxolMO3WNsLIzgyh+/+d62PcybeF5QVnxcDoeWj/ylo+oLrlA87QZYbGHK5SUf/KS/ect81Wc9qRwAcryO7tceOtBtoVAAAK6//vq77757Yu5WCoVCoVAoFEocasExJ4miyHjxxpxwLMvyvlQ6o+1ZIHS/8Ux1x3OTFhurOJrMxBcEgQ3H9TVPLYUpCnk8zyeKShzHhWE4VUFBEATf9yduJYoiwzAkn1hN+z0Ih1wQi7tqtFT9y3DAchynCkyA+MRYSI7jRK8/5b5srtBe8pEdQ7EyAeVM8TWsvGoxbkEITXJ0bdFRpYuPnVLN84+YnJdStkQ5BYAxIAQAOAoRw+IoQnl7aFuhbQ0N7e5UksRO7JUMwzAMIwiC4zgzYVs83lqE4vYXU8UwDBDzYTJb6mnIu0mWIIk3jiAIgiBkluPjmqzv+xOjs4mgT5T33z+w/eMfq9uyZejQQ3Jm7iTH4Xk+e61/SjHaRHNnGCYWi8myvM/twmc55IqvrBEPqi6RJAkhVFMWAIwmFfvqT9+8+xuxmiWr432yoKgkAnAYvbL9PjlMPX2B0KsdyS85k+V4vOW3ec6upLVKOJhyKwS4sv0eq7twbOnFBUXz7R+Aqtp63IIQ4LLhFzs+qK1asfZAt4iy0MnJyWEYZgEOwlEoFAqFQqFkD42AnntgjPtfvivHa5+86If4+dQDem/p7Wip2v5AVkUjTFQGz/McvTJiRcjabDcdmqZhjFmWzTK+hsTlybIsimJF2KR/GKKoqippG9Gy9cHXtNg2wR/mg7FET2fd3K7reo3xcn3r7XnG1sSaGYbhwtTRoygKAICR1D5GGRlNlmAywzBMC3dWhgIeFvvyv0DV58GhIcSlfsVFHB8NjwdBI4YFgGiwG+0pJm5/ZVv8839+87AkmwVBEBRFEUURYzxV04ap4jjOTM9KnqpDMUnTF/9qWVZcLiQOy1kGg5PwakVRkpaTs4oxfuqZNo7Dl16+8dafb+ns8vfelINhGF3XFUUhcxe4D5EkidiPTsl4mmXZKYW9B0FA6rdt23Ec0pKpHsLcBWPs+34QBOSk+X7q4YTC9j8NbPpZ/IdgaLAfAKRotEdenalygLzDLtD0HFmWpTWXhShFAH6GnxYlGCzdemP/e09lezBzBIRQS8GZ5HNF6+8G+9JaQlEo+4fly5cHQTDVOT0UCoVCoVAoCwoqQM89ml9/sth4K/vyEbCllVP2f6AkEkVR2ebrU4ZTukqy3URhy1N5yAIA3/e7Dv7X9iOuNAuXT2OnpmkSi1ViwhuGYRAEWWpqqqqq5q6lbbc3NN1cMrihofmWZW0/q2u5ncW+JEmaphGhzZfLyvqfnLh54fArDU0358a2AEDxwPOJclKGqFJb2H0q+ll1qvJfRc2SDuXciWJKiNlm5vSo7t9y81JPNl9QDLmZomVRfil2zGhkIOxtjXpa2aIKAIAo4kfHg9Z/e08j+ZCbKxx0UG7iuAiJz7Usy7bt/RCT6/u+LMszugvXdbN3NgeAMAyjKErycdY0TdM0RVGmJMf7vm/bNtlQkiSO43ieJ6HBURTtahr981/a//ObqwDgyaebBUHKvuaUGIZB1O0oishUiSiKGIZxHMeyLJIIK/vapjowkCigY4xjsZjjOOS8TamelC3RNI3jOE3T5oTFB8a4qiS1+N7D1BU6271nvzk2OgwA7JZfAwACXOx8kKFCBBBP4cAwjH30d1OWyVxD5dAzsdfvzqb9c4jyVafEP+e+eZ3nzcaEvZSFwzHHHNPf3//OO+8c6IZQKBQKhUKhzF6oAD3HeP+tVxYNpnbgTQcDofDC14UXvh5uvs62zPlqCjmjDL/2ZzZK8X7bvvpfBSvZjwIBFDY9OS7iIKbm9Vt6V6yfXjCpYRiqqiZGI/r+JPGSPM/rmrKk+Zby3scTLcIRABu5i1tvX972s4bmWxqabmawX9nz50nbgCCUwt3hzDh9B+rO3T0PGiHUHEtrSpuO4tJqr+7q3rwvvu+f/r53aiM+w6y+Mqi/qqL2oJmzw55bhGxqDU4a7QPACCEkqUxeEVtay5TVkjyDymhPJMoAsGPjGwMDLgCccEL5L392QjxWi5hCkLRy++1A9gPTyOTp+/4rb+/haRDPTDiNvRuGYVkWcTLBGIuiqGma67qXX7oKAG6/s/GSixpeern/Cxdt2Hst3jAMXdejKAqCAGMcRVEGV+jMTPWkTbw3SbS4YRh7qUHLsky6pW3blmUR46C9qXCm8TwvwvDls1JYXmz3FgMAj/8/e+cdHzeR9vFn1LXSuqx7ixPH6Q2SkAQSQg29c8BR74BLjnJ0QrkDjk44eu+doxzv0TlKAqEkpJIe4hTHjntf26vVquv9Q2azWcvrXbc4Yb4f/7ErjUaz0kiyfvPM71HEFbeXb9ukeIY5ywWjIXadSfXfhz8zDFsz6roeNCxN3mwuvXd/usAJgqgdO7/jM1iw+Gb8vw1mL3LjjTdmZ2dffPHFmzZtSmjAD4PBYDAYDOb3w6B+l8NEUb1rx5j6tyDmlNsY8EZL8srbqR9vUULdJODCRGJZVkaZS5gwABRsfAXteTZ0NhkA+NZSJ1jPtm2FSS1acmeimk6YqLnzJEm6vts4c/C9Ij+q8Z3isqdi1+nIRcPLn0XxdSWNTg1/pmnaJN1FJYvZYznBcj2TwFJSfcUjxxaPmlBYNLrHx22/hXWPr0SWAYDAtphgK++vCS+nlIBBUAbNvfPoNw/8axMAnHLS0Ev/NCJSUfV4PP2UaTA2AyAYJapXapp2yIHp4QyBfdVC27YdFVWSJJ7nEUJvvnpka6v2w4/1FIUA4OHHNvTekMSZM9HLSyZqxCvO/QqC4Gq7Ec5SmGgzEEKR3dI0TdM0ZVnmOI4gCMd1OtE6BwBN04bleNbvdDE8EYndj90h5c+D0jHOgQAMUmhOntZVV+O12siv6Vl5u3LO60HbeLOVWnbXAExuGDDSMnOqUo92PlO21rjk+b3bHszvmYyMjM8//zwUCs2cOfPEE0/8+uuv6+rqgsGg3AV4vASDwWAwGMzvECzu7DMEpUDWlsedz46AuNN7ZFHgu0TrIW1dXPHPEJVKWWqLZzQ17KjktGgTCUwkbXUVGXZcL+11OYfKRUcWLb2rcuo1Th5CAOCVRgBIrfk5mDyp941xfWkRBIEgiIzGRcmBTb3fRRSVOX+IEsEpUwKAjblzEb+HITVKju5INbV1Qwux/UufoaoqEO4yZSg1lwoFKD0Euhby5XGt9UpKFjINRpFUwffJiz9+t7hu9qyci/80GiEjamBgb0WXD8AbeA924cTtCoLgeEDTNJ2omUy39QMAx3Gpqez20sDUKb7Vv7SsW9/sRPv2pmYn7pimaa/Xm2iCx7Da3jNh17lFCIKgqmpUmK1zGDmOC2dVDd8bnRSpjj8JQkhVVYSQc7SdkPzOPzAUCjlKPcMwADDYHFdJkiQIwrKiLyiGQsVJbZG5CSOdN3blXehrXWkhirRdIpQZM9DS2pKc4gsvyRkxuUZIzdkR7wji7qrsUGDlE+TB1ye01WAmY+LxTavr04MbASA9uHHXmq8LJx+7txuF+T1y++23/+tf/3I+f/XVV1995R61EMa59fV/uzAYDAaDwWAGEYMxhgjTGcuy0LIHCNgj9NVRn0NkikImJVQbAaZgNLFWIEdalbFxQUNddV+2db/D2P5jnCWza38CsHbOujNEio6aQ5odUovQsMEr8L2P2tN1PSrSUBRFAtnFOx/vD/UZAFQ+v/Nr0rbUk8m8kYQvZ48/lxBOHOPTl4RC7nIbqYV4f43BiYo3Q03NAQDCNgHAJik5Jad2e0Vzi/76y7P/dOEwwwh1llP3lgA9APOUe6ZxS5Jk2yCK4o8/VXzyWUVCRtJxoijKk4/OAoDt2wNnnDaEoYlzL1wkCKIzmNSbmnVd13U9oXPKMAzLsjzPi6LYY+MO+E2G9nq9TpxyeLlt24qiBAIBxxtEEASv1+v1em3bFgSBZVnHqNq2bdu2HfNoy7Jcz50TSw6/Sc+DzRWaIAhJklZv20P9F3ni5X/Mypt+ThM/Nqq88wttgkmSNruqzwBA2nr6hvvrS3+JXJieO6xy2F9jN6adzuu80KvXNK35v25+xr4DQsg79c9t7FDna0HDJ9Xl2/ZqizC/X1Ai7O3GYjAYDAaDwewF8PD7vkHDstczzVbXVXwXy+MnbcdrkH1bLyvZj/E1rom/sA2EFBF7aJJsQ+a0zIaVnNxgI3f3jESJVHYEQUAIFe/sxnOjx9gArpkP9WGH4PengUe3LHALgDYZPkSzgBAA2IgEADk111kVqqt54PUdz90yKRh0j67di2/CvTed6JYeB1kTBPphRXV9u/HRJ7tGjfQNL+p7DVpV5XfePPqCPy/66JOKa64a/fiTJeddtAgArrhs3JQDk3tzr1AUhWGY+KVkhmH6yoPFMIxAIIAQEgTBOfgIIcMwHL3YaVL4fsJxnJMs0fnquENomsYwTNSsi0jC3UZRFJ7nYxceYEzTrGkxZ09M+nFDu7OEodB7Dxzn4XkAyJh1ufzdHbzpD5d3rr2kuu9ccwxEFiuofrdSbsqasDu8N7ugWKsQGbPLEyfo9TriaTsUtTxHWl5VOyMrJz/OH1W7bXVm0zeUGTIJLsRk+TMPzy8sjnPbAQAhxE7/W9vyJ5O1CgDILnmiLeWeyIBxDGYAuOCCC6ZNmxZ/+cFpIoTBYDAYDAbTr2ABeh+gbN0PhYHV/Vc/a7bvP5mJ+gFGa4+/sNC40UobJ8u77T4zG1Y6Hzh/qeEt7P2c8UgTT4Igisqe6WWFMUCdXpNozV/mPQKRFABotbsIjqdSu7Rw0dPyyisqhg7BLhx9Q6wZ9yj6bdZW1Yce+6mmSSvI4hVlDxHK4/EoiuLEojoCtMfjiey0+w09dryVJCkvO+mtz0pmTEtf8NDad986us9tsm3bDgalf79x9NzLf3j8yZLHH5v28CObqqrkZ5/ffOwxBX++cFTUHh0nZdu249RbXV0sXOnz3HROAsbwV4IgXDsYRVFOntXIhZqmaZrG83woFK2cAgDP847Lh1NhKBTqff7GPgQhVNeimubu6/Sp66d4fmshQog97J/WdzdEpocNkSlJemU8lRf4F5ZsySgaMzm8pLF4Xt7WRzuXtAEhsEkwtiedMLrt0+hGAuTueFrPuj8eCUxf9lChXu98ps0QF/Kn7iqxdhGlmecUjp4ST7MHAIIguIOv2blhUZH/SwS2Z8VdxlGPYH8DzEAyYcKECRMm7O1WYDAYDAaDwQxq8Aj8YKe1pbmw7v1+3QVhG8z311Pfz6/cvBTnRemM5C2Mv3D2tg+TmjZ5BU84TK9hxKnOh7xf3+6TCePhkFVHPiDsvjSodd2dY7fqwGr1cuZEqqmaaa4WGYqzTbKtMca2RlpeRU1tVwUwCcFGnIjYNJeUXPePb2uaNJJEN15YHKnDer1ex5bXCR2VJMmyLEVRepAprpcMQD603sQRDx8iAsCmBmPupSMu+PO3UTppXyFJ0ovPzk7zsc8vC358+ZrFD/iTk+ivv6m8+95VFMV7vV6GYSiK8nq9CKEnn16/clUtE0c3SEhTpiiqX9U6y7JkWXa8NSL9TJykgrIsC4LgrHU+dHWoWZa1LMvprmE5OxQKOUkj9zoURXk8nrx0bunmjkkwN56bv6nSH1UmMPWO8FPWBiBtvargTyEmJ55djG58p7qsJPw1Iyu3LOW4zsXCI1Wj2z7dUXhV5wKkbbRu+Ljb3bU01gm/qc+REGCNaHiX+fHG6k3fD5L/GRBC+ZPm7Mw+zzmkgZ8eGSQNw2AwGAwGg8FgMA5YgB7UGIaetPL2gdkXAebwxv82//JeS9XWxq1L/HXlmjq48jvtLYJjTkuofNb2j4aseswRiYLBICPtfoHP2Nb9O3+3EAThaNAEQZBGl7GQBopLrFSo1NpxN0tUl1HMlLXbNZhl2fSmH0BMN5MzdNGnpmTrFEvosSaPA4CWnKn3dYjl7xNREOzuFFUzJH/23rJ7Xt4JACMKhGdummBouyNPSZJ0UsCZphlp0eDkrxNFcSDnBQ9AiKJhGD3+RbIsn318gYcj3v22kSDgyWc29ZPjsCzLTzw6c0QmYwN4rfqvbtkxamTSlq1tF89dPO+K72+4ecVb75Tdctuy+bf+zLJUfUOoWwHaEWTjD9l2Svb36ZAkSZIkVVVZlnWEZo/HQ5KkKIoIIWetMyISDAZdw58pigonMIxkkEiNhmFomkaRMHWkCABTRojvrlM/XNfe1NwSWSzVl1ab8wfnc6l4tOOqw2vxjtINrXxZCuyelJM74Sg/WxSjfPEud4Om7PaflVA3kx7MYJeDiw7DWj6HpXcrocFigZI/emrzgXeEqJRkdVf58g/3dnMwGAwGg8FgMBjMbrAAPahRfrg3nmJBKr2v9pgrrcre8UJe7YdZJU+Ky/7eUNYvee32LdKGT2xOPyChTShdSqtfiRCiKKp1yGxnoerJrBl2Yu/bI0kSx3GiKFIURQYqqoTpVeL0amFatXBQjTC1RphS45lcNeo6fea9TUKsCaEq6a3OOxvNvC3Fly4aDV0V46TSsITHkdbOjFNs07Qo2mZ5RJKsHtJ93cfuNft761SOAQCEECm3xSiwdvHaG27//tvVHUGXN15YHGnXwDCMx+OhaVrYk7B+J0kSy7L9kXOvM441cH/vxbbteOKFXbEs68jp6c5gz113HLB8RX1Tk9Efltm2bVMUed70tB1D/laZfRZth97+08r8PA8AtLfrgYD+87K62bMy6+tDl80bn54mvP3O1hhiMUmSsiwnGvptGMbAnHcAUFXVEaYzTMgAACAASURBVJolSdJ1PRAIyLLs9Xq7jcGXZdn1bJqmORiSepEkyTBMu2ysLw0CwLDsjuO54KNfoyTy/AmHt/KjAKBYWmQQvBjc7lqhgVzOCAJgNz2/+ytC/EGXBRiXfIPdEtrcjURrk1y3lbBWIGnVP/0tTT1oQH+QlJxCzLy9Ov24IW3flm/5pfsNMBgMBoPBYDAYzICABejBS83ydz16N/FHDoKx+91PR92/McZP/q5XA4H2AdCJBjMIoeRjrq6cfmNCW6linm3bLMva9R0zpv35h/ZVBGUoFJIkiSEgf/P7udu/zt32dc72b3K2L8zevih7+7eGRmfmFJAUlXTQxdIhD2zO/FOTktcq+fzB9JZgZp05spKc0jDxH+jQuzJGzEAIyWveiLGvnOZvHZdVjuOy6z9VU4YjjkcI2batN1RpvlwiFIixuUNbqJsoaUycDE1P6Sres6Fk+xtf7I6jTPHSUeGiLMs64aVRRJrzhkIhwzD6yW4iEtu2ByAJIfQu1WEoFHrwxkkA8PP6NgAwLbufjoyu662SYlmWTGUAQIDKffOqGgDIzeHPP7foiMOy3nx759xLRhuGMWZ0Sm4ut/C7elEUeZ7nOJcbfmw1tivTZF3XB97LQtM0URRpmg4EApqmxQ5Xd247nZcTBDEYgqBN0wwEAuOLUg8Y4QWAeosGAAJBvWR9s2yPoVzLsmi9IyxaNOqzG790rZC03W+bgt7QVF8T/koQBDn1Kp3wJNrgLHmd0SnBbCSsEG8qv8xNC+qrdyXagH4CIZQx/hhpxv3QurOhrqb7DTAYDAaDwWAwGEz/g5O0DFIMw2BCPXlxou0+9s1I++VOG0AlU7SD5nPcIEr3NMCkbElgPq+cOjIo5oMsm6aZ0l7mLMze9t86TTayp7jOLk8Uj8dTuPJfrqsyZpxpWVZl6Vbfrm/Flq1jomw62gAAjJol9tnPIoTqa6oKgt3EuSMAnudpwlJAQCyHEAFg27pGZ+RZaojWVAStppASowbCl2VZFk773nsYmvY21krejMiFal31v17a3Ny2x0DR3X8drWvRU+zj0elM0wwGg/GnsOsxA7OX3vY6W89MY3/4pYWm0S3/WP7AvdPzcvnepxKNQlGUFFG0LEvTtBCTnaTVlLMHIRSorQv9+92dqmoBwKyZuZIkpaaKb75VyvHkO+9uBwCOJU85eSjLkiccNwQh5NRAEARN0x0e8QQBAJZlIYQQQgZBmRTDA3S+CznZ/wY+HaUzpUMQBKc/6LrumIM7PyfSKJxhmM5HHiE0eG4sNE0jhLJSKACobDMJBH+Zmfbikua3V/qnj2tLSU62LKt0y7qMpsVJRvejyzGGEYSyDyDrmvBXiqLqh12SX/p055I6wdNWl0+c9qYqX86wrtYmpfpMoEjofgQaAeSXPlVl/jVryIhuCw8MLMdlH3iyYfRvjgQMBoPBYDAYDAYTJ4PltQ0TiW3bhmGIB1+pHf7o1txLg1RG99vERCd6JRwjAM5s9S6/rap8x2AINBt4Guuqve07Oy+33a4gG6Bu3HlhESdYdFR4VXb5l30S9YkQSmlYQ5gu8XHlRWeUb1nLvPeX4aseSm1YQ3dhEk2ZauDrx7/6esX51y+t4yfF2JcNRGbd5xRJFpU/W51/KsHyAEC31LGBZrqlBrG8RtKEpkLMjoEQeuKD1b/PztPn5OfmcC01zgE3g+1PP7745ofXR6nPAMAye3ROiqLimcrAsqyTDg4AnNDUvmv43qGXvU7X9fuunWDbMOOofNuGW/6xop8CtyVJIknSMAxJKFYI77z71KGFgm2Doz6/9NxhkiQ5qQiPOCLHK9KpqQwAKKr5n/8rfevf2869cNEfL1h43kXfXnvjCoVg5LR8KTVXSs1tT85uT86WUnMDKTntydmyN13lkwiK7ipK2jTNgYlMj4SiKMcrxjGJNgzDMAxd1xFCkUHZiqJ0jkC3bVuPGcY7kFAU9fh/dvy8uQ0ALAv+flyWBym3n5ANAOyqB6xv/gaLrh5e/WqSWmYDhJgunfe7JVmrjPrVmXlDA3Ru55K0FYpxAUhNFTH2ghBqSpkRZ5MQQEH5C23+lu6LDiAURUea3WMwGAwGg8FgMJi9BRagByOR70vDRo6jZ93q6gUZPzECoOIHgV1U/qyxdMHvUEbk1r3vuhyBi9Gqo+s4U+NJkixY/fgeaxHqsSltGK+HzSj9wnXV0J0fjtr4XDyV+Fo2bi0LAMDZj3HLmdM7F6gSp28tvKqi4CKD9eVWvLVpyJVkahYAoEALsi0A0NPytIrtJMuauo70WC/5Vb9uW1Ya+uOCH3dV1cXTNkxshhYOGSEQiz9decM/l+yocrm6p45NiZSbOY6jaTqeK9e2bSkCgiC6cmzoE0KhkMfjGTD34Z4hy/IhB6avLQlcdvloAFi6rL6fHIcVRfF6vXX06Fm35rUH9LLyYHo6BwCnnzqMpi0AsCwrGAxedP6YqmrZ79dSU5lRI5Mumzcyybt7nKC1VVu/qjr2jqTkLDIj1zVwWNO0fj3jrnTVMw3DiLKRGcxPH6/XS5JkSWWoJWDOHJ9k/tZSXddZCtmI1AgBAFQqtTLnHAPxkieuYGG7i0ho//YlUUusSZe5Hp0YnbXbfpw8/pSEjrhv44OWZXZfbgCJiqPHYDAYDAaDwWAwewUsQA86LMuKesfWdZ3qwgty4BGMRvjpzlZ/895uyMBhGEZqS2LJGHPXPu8J1jr6Ttkht+tsanjVsCV39TKqlKbpISse7k0Nu/mtp930ZM1bDSdHRcrnSytG7Xoqr+qd6rTZ5ZNvJbOGdmzk9dkAgMC2TDI13WIFKz2HDjSBbSPNRQxVWxqfXdjg7G3+m1tr6wdLuqp9muaWtk9+dD+SU8YkX3xSXtiswPFeCIVC8US2RgXAqqqqaVr/WUKbpinLsqqqHo9n8BgpRGFZ1oWn5E8dn/rvr+qKhonPPLdJChIeT8KWu92i67rjR/Hko9Mvmzfu0YdmPP34oe+9PefsPwx3wl1VVWVZVpaDL79wOAD4/drWbe3Pv7itPaBf8udimu44gFt+9Xe/L8bj+e208jwv/gbHcQOv1gWDQZ7nozoAQkgQhHBjnG7ZlQe0k/G192N7vUHX9Zc/rwCA84/JKjfZyOVZSdQPxImMFQSA2qyTOaWGtkMZrUvjqRaBuwKc1/RF1JniPZ7K1GPc24bcBxUK2hbH1vQJgtiRe7HrKpl0cYgmwWxc92mMCvcKuq4P5qELDAaDwWAwGAzm98AgfeH/3WLbdufpon314tTKDOmTelgrkLH+vqbG30soayiYsEctF6wr2PSqx+ORJAkIklZ360EI7IzSL3qjtbEsS7qZb/QA09zdtV76sOH4lyY9W3ZCpWd6leegamFalTDtV2rm5uLrkJhiG7rZFiF3OtnALJPyplpyAAhSBgpsC1D077J07dEPtkcuuf61zdqgmTK/7zL3bnf1ani+Z+5phWH1maZpQRAcw98443ajijkasWPK0X/Istwfki4AWJbLNIVEURTl0j8U2TYYSXx2FnftDUu3bW/uD13etu1gMJiZmTTlwBSvCIFAwAlFd9byPK9pmm3bYKvvvHnUHf+Yeu45HQa+r76+AwAuPG8YAOyqiOuWJXkzvF6vIAgURcmy7OwoFAr1iUl9oqiqGjVAQtO0LMvh0+fxeDiOc30aaprm6OZ7V4CmKOqXbe0AUB2KvoJGZnLvrDc05AGAwuo3M/w/9X53CKB22yr47d8G58hkTzgmRLnowrTtfk4ZS9q2s6y+oSGGP09h8TiNcLn8Paa720aBtHQQJi7GRhwYDAaDwWAwGMzeBQvQg4uo6cYONE3riOt95clah9ujq3NxQiCAzF+f7BNlZ/BjGT18cc3d+DpCSFVVnU2OXO5t2tRjoQQhlLXtvz3btjP6niqBptvvfd18/qNw3qPEuY+g8x5Blz1t3HXvz6HGRq3NbwbaAcBSQwCgCamakIooBhDiQu1IbqeSfUCQNh3tpfDZ1xsDyh79xLTgq59L+uon/D7Zun2nqrmPS82alBaZRI6m6bB8GY8Abdt259ERx5dDFMV+DVK2bVsQBFc7DpZlKaqHKXP7Sgurb1Ky05nL/lj8n3f/CAB33bu+vT3YH4qnbduyLIfnSURJrk7Qq6NTF+RTc47Kfeu1w+ccnQ8Aum699U5Zmo+ZNCFWRtDdOyLI9uRsVVOhj2T63mBZVuSpF0XRNE2Konied2ygFUXRNM01/aNhGKFQyDlu8Z+RvvVR8Xq9369pBACeJbY3mQjBUcW7WzJ9mAcA5peebMfhehE/ec3fBFa+yPw0X1z+d/an+bDkn+1r3gmOuyL+IWsDMdVcxmbD82N9aElFU0Oje2rE0OQbE2pY/a/fJVR+ALBte693csx+g2VZ8+bNu/vuu8NLFEVpb28fhEMvGAwGg8FgMIMHLEAPIrqa+IwQahh1Re/rR7s/7PEa1jM9mrIV/671vW7UPgAie+iYQWkSALA0RattkcsJU+2xmubxeITGxPxAYhByEzGPnZ379N0HvbxgxnP3TnvpgekLbj5QbW+77uYfFUV74ZGF29eXAQBieYLriFdVU7KQHKDbGgDAtixL2a1+Vm7asqLUJfLuo9XdWwRgYnDbs1u6WnXwxNSwZEmSpDOm5USPBgKBbmuOMd9CkiSWZR1z8z5HFEVZloPBoKqqjiNE5Cpd1wmC6FkUdl8ZSuRmcu8/84fjjposisI5Zw0DgMv+tryfkjSapmlZVmcttfPZMU1TUZQ/XTAiM7PDY6G5Rfvw48qypetj5wUN1zjqf3fkf3pH5LEdeA9oh1AoFG5GKBRiGIZlWYIgNE1DCOm63q1XuHPQ4uknNE1zHNezHtU58p2m6Sf/u/OL5U0AEFItBGDb4A/Z/mCHGmVbFgC0Kva99X/swR67grXa05Rt4Sc7YwXTpTVp6+81404asTntLHCEeIQ0ituk8z9W+jsndeQ9YuP4W+Jv2NDWhfEXHjBwEDSmD3nllVc+/PDD8Nenn356+vTpK1as2ItNwmAwGAwGgxnkYAF6sGDbdue3vjAZ2fn+g+6uSzpYIwSVTGpnh/ShnaFrJr14IJv7TAkdzHAeoWdHm1L9WcHSop/v6bwqreybHgSTIoS8LSV9GEAnhXaf+rws/pUHZ7xw39RTjsokwFBVRVMdSTDoSxFeWjDj0Zd3bCkN2KZpW2bN+s3VazeAE1YWkq30PIugmOZqWvITbId6pQcDz33r7hUeVHEwWs8JhZSA7C6qjhkqRs6iYFnW8XRWVdU1dLQzrhHQEbsOmabZt14ZjrIsSVJYXQ2FQk7AtSAIzirLsjRNkyRJEIRE5VEnkLb37ZRleefOnU6/vXn+CcOLRAD4y19/6Ce5VlVVxwQ57M4cI7Y3FAo9/vAhgrD7Zz6wYMPVZ70DEaNBXYFsm9TloR/OT7VlryimgtJPKRa7xZHdnc+WZVEUpSiKM4lEEASSJOMREB0jkc7Hysn+yjCM4zrCcZzTzRiGcQ5y/O10/KYBwJGwRVFslmBbpSwpHVflxBwKANZU68/82OzUjBDy0AAAO5qtp9rO7SqvYJ+AAOJMGmEiuja5OGqhQdI/Narby3dFLU/2pVcOvyruR6HdG+swJ1q5P1ybXSeZYTA9JtxLGxsbS0pKgsHg3m0PBoPBYDAYzGCmD17LMX1Ct6/WgiAKk88COAsBcAAt7a1yQ2l63f94oy+DSU2CJa1439BEJfoddb+EYZjGvMMyq39IdENkW1nbP3Jd5W1YT+UdnmhAFsdxmes+SLQZJkGRlvu00K1lHeYMpx6dd/zh2Y7A939fVp50RKYoCsFg0Hm5UlXVMIx7b5jkSJNXX/OZJBtZaexdB040A34qyQcAZmqWUbOTphhCCZJym56ac8+rXQbICyxhGMbeNWzdd9m6o6qrVX87p0gJ7X4BjpG3LQaxh0Z0XTdN0+v1xhNP3S08zzv+Hp1XOQujtGPn9V4URUVR4p/sTFFU72dG27bd2tq6bdu24uJiiqLeev2cQ2a/IoeM/pNrVVXtrJexLOsqogWDweeemjn/1pX19R1zDhTVmnfWfx97erZQWNjVLpDcvvszANWwQ8sYLu+poSDH8L2fcQ6jYwWuKArP86ZpOt3D6/UGg0GSJFmWde0qnWEYJvLuKooiQkiWZUd3pmk6rBNpmqZpWkICtCzLNMPxPB+UlauedHETCrXIAB03twe/abj5mEzbtuXfxpdXV5tP2edcnvoxbXc5JlQvThaVSsFwN8ToK371nQZd9N5KJs3cVTW6MD9yYVZeYaV1eUHZc932eARg23YPLg05FFpf09LGeAEAbFs05HyOKMhKjyeBajzYth2VZxWD6RnO3cmyLNydMBgMBoPBYOIER0APCkzTTPQN35uUklU8hZx1u3/qXXXjbmo+8Pbq9ON604YQl1uTfWrZ0MvjD87yGC0h+XcR7pFy6IXtSUV9WKGUMT5GwHtXUBSFIK5+YqHdsl1X6rNBsiHFAoBZB2WceswQhKiqeuPnX+o3bGm95p6Nuq47gYFOuKtpmsFg0FFtHr9jCgA0+TUAIDgBnPj9ploqJd1IzrB4McQIz/97ZUaSuzvB7NHCnX+dXrtnEHSgvbW5qba5vqyluREHR8fmw++qXZc/dv14NSLilaIoR4NL9N7SrWxkWVYgEOh9WkJRFLty9Q3jOlAhSRJCyFEV49kRRVFcfHi93tgFTNPcuXOnk/XO4yEBQNMHrrtqmhZD7NA0jWWi1173tx+3L9nY1SZp6z4Nf07aulhJGxYVwefEp/dJCHlsbNsWRZHneYIgBEEgCIIkSdO03vr3ts8+L0cIcRyXkKApimLksQoEAjzPB4NBxzA6qrCiKJH+HjHGYJywdMvUVVW96YXtrmUWr2vz8R1N1U17wdf1AMjDoMOHd/TkzQ3Wr8ZB1fwU181tQOyoU6iDb6rzTo/jh/YQA7E1KWNiFKihUzbtqo66e2QXDK8fe1O3SSns7saxXAmFlB8btQ71GQAQkmihxOQX1kibd7nf9HpAD568GExnioqKqqurV65c2VcuTxgMBoPBYDD7PTgCelDQmzciQfQKohcAvMnHhJas5A33xPSx0QiPP3lqZuNCk+QR2E2pMxFYaf5l3W6oaxrviTbE3P8gCMJz0m2N1TuhZBGttXqkakbvYfhnzfiLcje9aSOyZ0GFJsmRZvdeCoQdLTrbAG15hwjNvwbTxiTXrEC2pTEdmcp4lvru59r3Pts1ssh77cWjUrx0S5vy8y/11Q3qt0sbZ03NuPis4U7Qpa7rjvJ43SWjH3u1ZMMPaycediAAIITo9BzDMhEAmOZ/vt5+9QkFAHDj22WRbUAAN55WkF00zPlasXFxjrIxQOdmZLSlE7+FKxqw6zMybduSwPDp4knzcJR0Z2qa3DsAzxLB4O5OxXFcOFyUIIj4Zf04ZT4nXt6Jjo+z5jAEQXg8njijWWma7jxXQNd1Xdcd+4vOemIUtm3H6UASTzFVVbWFdxGh6juvPu2mBdVLl9bPmJ4yADHCDjEeFjzPV1S6HNKHHlz37oSs5GQvAlTdFrCSMzrKb1ues/XrcDGxYjXSQ3XTLow8niRJklIzJ/hUVe1X5c650kmSdLrfl1+XG7r98WflwaABACedWKjrepwnEX4Ln3f8WwRBkGXZ+ez1ekOhUOceaxiGE9ev67phGDzP67quaRpBEOHCjm00AFTUy/e/XTphmMeMuKRG5vMjR6U0BS3FgHQBDU8jP9/S0WkNCx74ut624ftSDQAuGKXMrnqbKlcAoDV5qFwwKje0NlyPBWTjuBtSBREAfAee1dB8uLD11f4IhS5JPclG3WjEDXSyXl5zwNDcyHuCLz3TmnVP1cav81sXdbWhnyvuwfDUxuoGYF3zZ6JKwltb3jzJCxlpaYlXHI2mafjJgukNCKEpU6Zs3LjxkEMOIQjC6/U6d6fTTz89zsQATU1NAzCwh8FgMBgMBjOowP/97H368K1e5vJ4qScCNGPJufWfAgBlygDQmnoQozV7A78yRlvsDc1gE6Sk9mCP+yJJ2YVNNfm+nWtJs+c+kposAYDQsoVJ3IIDAOKMgA7TMuQIKXOiwXh101ZVlciaxbJsy7Bji5bcGVYfFi6pdT5U14U2b29/5f0ySd4t0CxZ3bhqQ7Mo0HdfO8aZjC9J0vhRKfPnjnnopS3E26VD8zxX/HmUUFiECBJsm25vCOnW3f+36y+HpVw7J/XxhR0WMfk+6urzJpNMR+icqYRGtn8JADpiGWK3kGPZKGPzIsIyU3/9zv71u9qLHs0ZMjTRo7R/09zmfsdwXoPDX23bDmdLS6inxR9nGgwGOY5zvHrjr99R8eJUn2O3JxQKOaHQseXRvnXJsG27uvii4o0PHG59kpN96MuvbZk189ABC6skSbKrfaGu9UQPz6ckJwNAUpJ3S3mV5ctCzTXDlzwdVUyo3Zz788s1h/wlrEHruo4QODkA++gXuCCKYt7XC+hgs8GKALB67KVvvLVHcPFHn5SdcVqRbdsJefhKksRxXOSF4MRBuw6Z2LYdCAQ8Hg9N0w+8va2x1bh/7qhVW9umjuCdXIiv/a9yVUkrxxC6aQPAxrLdsw0On5RUqrNrazqqbQzCloY9giItGwDgxJHkybWvMuW7By+9beXetnJ/6giUnZKi7WoYNz8pNSM1InY4JS3DPvim+sYaYcc7olEfXl7pPdSnbBX0hjgPRWnysYXtiym74z5gAlWdOi6eDf1s8pqy6ilFe3hxIIQyJx7XGpxpbn4vTdkatYlGeDxT58XZsEhamOQYaw2S/iVop7dVTd2zMT3AMZjeW17nmP0AhNBtt922YsWKLVu2WJbV1tbxr7Isd2+7j8FgMBgMBvO7BQvQexnHkbDPahtxur12Y+9fqop3Ph7kCysK/gwIFZU9RdhdthCx+3/4MwDYtr1r66biNY/l9bqqoTs/tAEqplyjxS3AhbEsi4ipfZsEQ1odEoNFMmUzbpUkCXQAvUNOMk1TluVMowEAiE7WHG0B/YnXotUEANB0a1geV7pLKhoiON1VkqT8bPKlB6btrAw+8OzmG+9Z+/RjqbypIcvUvWkIKtoV69Gvd4+F3H5adkrRyMg6s0tecD5ECeotSoZodfQ3BJD95vVYg47EsqyQ6hLLnJfBWZbVJxmQEgrmVRSFpmmSJOO8j4miKMtyQi4rkiR5PJ6uXuydERGKopwQ1/ir7Q2apvl9k1Nb1px2XNpzr1cRBA0wQAJ0V6qZIAjnXdRlRGrYVwkhNHZYQVtbe/InN7lWxDfuyP35pfpDL3MOplcUs/93VyD3AGXMcf2qQVPBZgCgVAkApq99AqFjI7vhf/6v9PRTh/Ugg5yiKI5feeRxc7orz/NRsfPO+I2iKPNPpf72ovrT+obqZmPycJYgiGue3KzqFgDIbldfbjq7vab7xpxS/RJtyG2pI5L9e8jrSf7t4IcdY88bkpbVeSuEUGpmHmTOd+7sjnKaBdBQ+otQ/W73ewUAgKK2b5SZC+ob6+WmnYWtC3ekHNtt+HOYNi6lZMfO0cXRJlQewQvT5moAu0pLPO1bkkI7g0xuKGN6XmFRD8zdbNvuypB6Nwg10UlLdtbOHJbdS/lYVVWWZbEGjekxw4cPX7NmzZtvvvnRRx85KWqrqqrGjx/v8/n2dtP6DMuyDMPok3wP/Uf434lgMLgfXNE9m1U2qAi3PxQK7et5X3Vddwan93ZD+obBfzl3i/OGsh9c7OGXpn09da2TC0HTtEHrn5lotJ+iKIPZq825qQ7aox0nWIDey/TtszkpOWVH7sXFNa/1/q7Mak2cvEsRhga845LbN3RVjKQ9vd7VYMe2bf/iV4rrfu6rCsuLz+4n08Cw+gwAVQde5qrHeb3e7CWPAgCjtSIEMcTGiSOTBA+5amOrYdqrN7VdeHoBwzC2jUgSOc9LVVWLC72vPDjjittXfvnJ5pMvPNS2zEBt/cQcui1kEQQ6uFg4cHiSJ7uA2HOqqdZSl6R3CDYGwQPsfvoGStqj5m4v/rE8pFX8+U+zSHL/96x3RqQQQl1Z/RIE8dnTx7uueu39X+bMzOp9BFaibhK6rscp/vZYI+42y5NhGJIk8Tzv5JrrwS4SQtM0oFgAmDW06TmAeVd8/9pLRw6M/O16KDiOIwhCFCgp6P7impqyR2xpcnJS3RFX5yx+0rUw31g69MP51XPmk3Jb9jcvAkDKziWtB5zaf/+QBYPBxil/zPzlPecrAnjib8LVT+3xT/kl8xa/+uIRiY5ehAPGw73aSULI87wkSdEd0rZNXRpGrxH5tsyUkf/9qQkAzjs6zzTN/Ay2tKZLpxeTJAC6adX8sfV0qQwAbWNP9y5/ovNQ4rBf39GmHE12Nys//NIl5oyBuI2REdit6z/MmHwWZOcCzOLqG8H1EdSFClzjyUyqq8/NdtHHAaBw+GiA0QDAuq6Os4UI0aauk93bF0i0sGJn9fSivF6+f+L0cZhewnHcvHnz5s6da9v2Lbfc8tBDDz388MNz5syJZ9t9Qj1xlIV9xeTa+d9pb7ei5zgPqX1dVoCIn9CD/EaDDaf9+8ol0C19G/S2VwifkX36YoeIf0r3jzMymLtWonehQX4T3tdHKB2wAL036Y8uXjhyQmDIfW11ZWz7dotJIbRWJlhhEZRB+zLbV8RfD2UG8+s/bvOOo/X2rspYQIpJsebM7gfYtt367XOZDav7rEIAI2NUqEcamaZpGp/OhJq6rhw5Hh02gEongx69l2Sesk3NKUNa+rEzfV8t2cOzZfK45CFp9IcfVyiKtbxGAgCGIY47eciiZU3X3LNpbLGYmeY5/7ShTmHTNB355pm7D/rHw+uzP1v21LNbAeDqv429Ze7MGD8ko/rL8GeDEsMCtGmTOes+jyzZlDvx6RdLAeCXNU1PP3laDxJbN0zGoAAAIABJREFU7Ss0NLS89sbqTz6rdL5mZrBzLx133LETHZUk8odH+myEUVXtP19UTB3vY+Pyn4xFD14YHC3PNM0YdsyCIPRYonXE5W69np0CoigqihL5hO6P/1ODSaNSG5YJ0A7AKIpVurNleJFvADTozr+FoqgNG1snjPcZpvuJGzUyqbPZaPYBs1pLf06p6PLOlrfwodj77UMYhvH9+mXkkqlVHw4ZckZFxW4NOjWVefnVzXMvHa9pWpwDt16v17IsgiBUVY3s1Y6BOAAYhhEZXG8DjGYXO5//emL6Pf+uBYB/vrbtgXmjLzw2/87X3FMOAkCMzL0cBfOKG/NCOzNKVzlLclc82VJ8TPrWzzoXbvnh7Yyj/hzPTwMAj8cTonydsz7Y4N6aHGlFe+hEjvcAQF5memlVq9lZ7e36LG81+Axdj9PftmekGMFG0tUDOppWJmndjvIDRwzrze50XccCNKb3IIQQQgRBEAThfNjbLeozSJJkGCYlJa6rcq9g27bf73deppKSkvbpK9qyrJaWFp7nneQW+y6yLDtPVVEU93W3/UAgYJrmYL4E4qSpqQkAaJpOSkra223pFaZp+v3+ff1it227ra3NeU9JSkrap58almW1trayLBs2uxtsROYYjwePx+N4RQ5OnFfdfbrPABag9y49sAAO09bW1tzcHFZkEEK5ubnOM5LjeG7oWICxkeVN04SfEhCgAcAgPQ3pRxmGOabyGdcCzcK45H18BLJbgl89nOHf0rd19jgiQNf1momXDl3xYFcFwg7R7TkHddZoaJrOXf9ypH59+sjGr5Z0PMJZhjh6SuoH/93VaafWp/8tF/JE2waGoS86c7hpmqIoIoQsy0IIBSRj8bL66ZOSN/8aeO2lIyRJ31XRarU3IyCAQEhIjhI1TDWUpuw+pCa5+8FQ3V6QGVHSBpj7xQgABQDWbfC//8Hyc885pNujtM9hWda993/91Td7zOFvaFTvW7DmvgVrnK9jRidfdeWBB0wa7rr5dz9uuu+Z9QQBXpHW1N6GqfZsYEySJJqmvV6vqqqd72wej6db+TgGFEXFP1kk7MgRDAad/4f6Y6jPoL0AkCevf/wfp1x7X+1t/1wjCNR9d0/3inb/DZ6zLNv57kEQxCOPr7esLu8qx84pdF2edMb84Fu3CM1lrmsHBpZlTdPkzRAV2iPfAAJ45KSas57dPcB57NG5r71ZunJV00vPH07TdLdaP8Mw4a7YlYWLoiiOwqJpmsfjyUUrneWmTdz/bi0A0BS66oyhAJDt4569btyS9fXvfNfl+J8rWQI6oOz9yCWUoaRv/SzEp/OdhhKzK75T9PPjF3mDYy/jN9wftTDGI9lftjpn7GwAQAiNZM0tRgJqsk0Qv1Q3zxiaHf8miVKUkdzY5Xh3NPVc2q6qqsL8XvlB42yEmL5iwYIFCxYs2NutwGAwGAwGgxnUYAF6r9Hj6cxtbW1VVVVRC23brq6ulmU5NzfXdSuCIMLhsXFSlXu2JAURQs2pB6f5l3UuYA8/Kf7a9kUq1y8d1tfqM4rDTyAGFh1XZETD0OPMPQUXhBDHcVHR0/nypovPOqWqVk7x0p9+WN5ZfX7x2cP+fvuKpmYlw8c0NGvrt/gvucmlJyAERqP82stH2rbF8+aE8T61tUXXdYSQx9NG8CJKTgsXpipXREokHqU2/Jlctymy2q8nz2/45tfw16ee2fLHsw/e12ddRdHaFjjnvI8CgW7uBltK2q646vvRo9a+9Pzp4YW2bX/74/oHn98UUiwAEHiSoQmt16Y+zrhCD4ZJnMBSQRCiBGiPx6Oqam9kWWe0I/7yjiMHx3EIoX4yvDOpjqH+mfqnD93xx/l3l5qGddsdK1587rD+MHTzeDwEQciy7CrEezyUJHXZhQ4+2N27HiHEX7ig9T/3pdR0abIUhq/9NSAWxN/geKAoimGY7G8fY1tdvCTya5cfPOP8ZcubAODG68Y8/NgWAAhI+rzLv584Ie3Ky8d3pUELgmCapmma4YcsQRCiKOq6HnX0nMkETg8hCEJEHVn+7l84zrQkAJg9yZcqdPg/IoRy0r0ArgJ0lzelaZkqVLgsJyz3uYr+FZ9kzvpDV7VFkZTiqxGm5wbjHVr2ta0CmO18zslMLy+vDzFuEStdGHHIjFjf1JyVntZ5VZ+QkpRE+VuMOFw4HEosb4Fl9SYMBGcjxGAwGAwGg8FgBox9O357n6ZnXjlbtmzprD6H8fv9XclGCKE2dmhC+9KpZFEUk1nLVX1uZ/JTfOkJVbhvoSjK0M2vJLSJP2Vk94UA0soX9XhyRzyy4M5Dbusc7keSpNC4MXKJwqXf3HjqohoosT1D83i/v0M0ZGjivbc7TAznXfFDU7MyfVr6P24++PpLis85Ie/Qqb4hObsbn5PJzh6fRLQpqmadd9Eiy0aRpoG2bQeDQVBlu6Ey3P4hrXukSuOM1vDntJ3Lw58bimfds+BX2JONG0u6/fn7EJqmnXHWf7tVn8OUbG07+7z3nUlbS35ee+TZb9/5+AZHfQYAhiH7xBmql4qMsy3LsqIoer1ehmFkWe6lNVjP2qMoSv8FIyuq1uYZJnG5AHC48t7NN45TVEsKGpdf9VPfzp8VRdEJ4JUkyfXn6Lp+xGGx0qNSZJcjzQihpLP/0TJkerfNyFj+hqv3S29gWbbg41td1WeH2yatA4Drr+1Qnx3aA/rqNY0Ioa6Os23bUSlEJEmSJMk11jUcmB95a122pWMI4czZ2eFrimXZR/7jHi0e46Y8io22yJDTR5UdcRer+l3LZ+/4PKGxH9+BZ8Zf2KvXRlY+bUgGst0ukK4vt19Vpv+uKYTQeI975TkBlySPNkKrdtX1cqe9mYiGwbii63pNTc3mzZtXrVq1atWqTZs2VVdXD+akRhgMBoPBYDADA46A3jv04J1HUZTS0tJui8XIq6OPPt9ef2/8Qg5pysMqXnItbwNoY/88eA1y+gLr20cSEr0qD7isYN3z8ZRMqV4qNG+pnHJVIHHHWF3X5ZThXHsFYe3xMmMh0iboUGpx/agzOwcGchxHkmTmLx+Gl9iArm44M6R3iBFbA7t/q6Zbf7xgYfjrKScXnHHZkQihEYdkjIio02iqKVlX/dCjm3f+lsnwvbfnGIYFACzLRgaBBgIBjuOo+goiq8BoqqLsPTo/YwYABN3mG5TscGSdDegv72UARF8mH31SPnHimO4P076Abdt33rNQURJTZmtrQ2+8+cNrn7lodv42TdP7IJSvlwK0oigsyyKEgsFgX+Wf6XF7+i8Bjq7r9cPOzt/xmkqKjBk8g3jzEWqqYdjJSXR7u9Ebp1yGYcJSqW3bsb0meJ7X9W48RnJzM2OsRQilnnlDy8eP+8pi5VlFlgldBO32DISQb/P/CDOWKONr2HzKSTMefTx6Gopz1XQ2tnbo6qSHQqGo0P5AIOD4xkiSZJqmSnhYJAPAsGy2pFIBgLoWzfubRVDngzwkk737r5OH5OfW1Nav+M9WVwvupED0tBK+eYcclCpm3ljw82PIjj6kyLbqStbkjJni+hM6QxCEf/I/U9bc1YMrhCSIg5KJlW3u8c6ipUoEExXcbSO0obT8gBFFie8tLrIzM5jyJo2MHiqo9bpP7fJTgmmavZlUZNs2DoLG9BW2bX/wwQcPPfRQbW1tS0uLM77FcZzP58vKyrrhhhvOP//8vd1GDAaDwWAwmL0GjoDeCzghogltIstyPOozADQ3N3e1KjnV1zDxVpmKN2y5qAv1GQDKs85KSvHFWc++iKZpSW0uBzyGmpW34dX466eVlpxNb/bgtVlV1fLis3bOuLU9cxIAKN785iFHls24dfu0W8qm39Qw6kxFUaI24TiOpmlv868W2r27FcPnhtVnAFhb5S4DnXfu8DMvOxIhhFSZbamm2xsJrSNgUAkqDz26GQDeefPod9486t23jl67rokkEcdxkd2bIAiGYZz0dFZbc3b1J23iuMrss+vS5rQJ4zQyySaYdntIgzVeaiCkzGJnq4+HzG1ucRmk8bfuP9FqdXVN3//Qk/C9Z54vYRn3W/fmHW2uyxOilxGOhmFE5XzrPYMz2UIoFKovOtcmqFZhJAHW7dcPA4CGRqW2ri1RY1nHI8Lj8dA0rWma9BuxM30TBHHDzcsvnrv4iy/dXB4AAOD00wrjEddST7u2ecQRscvwdX3pR8TzfNK272OXsQEtXFTruur6+Usf+Ndqj8fTeRVJkq42ygRBRHVLkiR1XQ8EAizLqqq6yz7KtBkAuP3UdueYvfhZhcfjcZKM0RHnlKbQW/+c+fo9Jw3JzwWA3JysFy+f4fNE91ISQXrdqsglFkGVHXEnLyb5dnyzc9rVNuGioWf98kpCl48geuvH3BjPBgZiozqDKIrjaHdzdhlFq88OLUJm56dMHzLRS0ACPx/VN0fHmCcKDoLG9AktLS2nnnrqOeecs3r16urq6vDsCkVRampq1q5de8EFF8yZM6e21v2ehsFgMBgMBrPfMxjf6vd7Ep2IJ8tyWVm8eaJi5y9K9WVQs/4uz/pX67R7pUMW+KfcaaKEM/BIVFbemIMT3Wrfoq18k+tyu2uvT8JK7CWWbyvzqbU8zycae6XrejAYbBpxWunMf5aOPL8q9cD2kKYoSjAYDEhSlAkDz/OOzWXJLsWiOmLWm33jn1kZXe1xx0SHmM2bO/rYCw91guPooF+SpKC/WW+oYpqrwLa1YMfL1dp1TQCgauYBk9IAgCQpZ3a8NyNb9CYJ2flcQTGXO5RhGK5mqQfaW5KnNWmeWjuvyjtzV95FQa6gWcvKI1flLXnLP/W00hP//u7o+Q+/HB3hO7RQOOfPI7e0WK1tcaepGtw8+HCsgNPYnD7HPRVYeWXCMfWdiTGLYp+j/+wCAMC27XbVrh5zhUdvtIDI9rQDgGlaCx7aJAUTEBBZlmVZVpIkWZajng6KorhqrA4URdXXx0rtiBBcd/XhcTbDd9LltWfESqKVuez1GI1JCIZhxNrN3d74/EMOOunEIa6ramrl9Rv8H31a3nlwQlEU1wEAXdc5jnO0fpIkBUFACHk8HoqinOOsKMp2c07Ayszmql+9HACgrkX92xO/rilVPR7PFY/ufig8eMWkvNw9rkGGYR6fO3Ny/h77ndMpUBjZlmmakiTtKjrJYLw1ky7q3E5al5qrEssM6cvIrh1+eYzHk0NN0szOC7MyM7MUl3FrC6E0M4jctOANte7+IX1CeppvOCTg214t9VY+7kFMAAYThWmahx122GeffeZ8veSSSxYuXFhSUrJ169ZFixZdeeWVzvJFixbNnj27l55UGAwGg8FgMPsoWIAeaBJ91bEsK371GQCSk5O7LUNRlMfjYRhG8CYlKkArZAp58I0JbbIvwu9c7LqcSCSLY7fkbn6reMUDhXXfp7AJz/8NSJLUSW4GACECr9drmibDMJ9+Xj7/cf+spyf9ZemJn+Vcdu32QzpXOHJyRuTXv98yaebpM8JfNV+eKIqiKPKiFyEEYHvzOgTrfz2ybt4VP/750sXnXrjo3AsXlVW0AQCVlIqSfERmPuJFAEAUTecOy5eWMnqrr3V5PpQPsUoK2r8fUfG0xaSmtv0aqJDV00+WGL5B97S3a4fMyArvmiDg4r+MbGXY//3UBABffLc90WM1CDEMY+Uq12xmceET3AXizPS+8cXBAnSc2Latadqugj99cPbSsr8+AwC6buu6dec9K0VRjLMSiqLCsXKdMQyjs8YqCIIkEe+8382j4e+3TOrKp8KV7MKi0GWv148+rsummr3OcQkAAEltlZkr3oxdxgbgjr/8umuOPPVkdw0aAP7vvzs7a+KGYbiO6jlhxR6PR5IkiqJ0XTcMQ5ZlhmEIgggGgxzHybJcC9NtG4Z4yt6+UmEoZNvwzqKaKx7bHK5nbKFn0lgXDwqE0LVnTr9oRsfcIALBqY1vR5exLadtpmmqqmokuTtLiCsSSz8AAOl5w/0H3i7R7kNTAGAB4Rt9lOuq0YX5rtN7/ITHdjuSEiP2id18V4wYku9TW7svBwAAtqk3NPb8XuqAg6AxveSFF17YtGkTTdNPPPFEe3v7K6+8cvTRR48aNWrkyJFHHXXU008/LcvyCy+8wLLsjh07Hnroof6zh8JgMBgMBoMZtGABeqBJNPx569atCZVPNJwWQQKBGDrBmzNu3W/EqRiwcv3A7IiwzeS61QWrn4hfrooBSZJOKLSDruvOe/VxxxQAgG3D7OOG/GfTHpIc8Vt/+bbMmHXxBOfviL9MHDX7wKjKVV+e5svVUrJVX54NiE5KufqqDjtmSero1U89Pbt42gTk9SExJXpzf7Ozq+TgloyW79NalyfJ2wAgtW1VkrS5iR+TxtTzvGdU5Q+0pkw7qMO19qwzC3MmZPzf4ibzt1b/+Etj7w/UXsfvTyDErzMM634NHjAmtTfVhhlslhc9dmjtbwFaEASSJC2GAgCjuv7aK0Y5yxsb1auv/8m5qCmKEkWRYRjPb0TWwPN855Shkaiq2lljXbuu+Zc1tSG5Gzn46CMnJPqLON6TefwlLRc+7bo278v7e3//94pi9k/d2+XXHXUN7xEAYP4N7rKpw/KVDVFLCIKQJMn1jkrTtHO0VVUNa46yLDszUSRJ8nq9iqKUwRwAyOFrP7yqriCDjayBY9BD1x3RVYdECM2ZMf4fJxeyFDzu+5h1U1Epe/f/ABpQOht9qwQAIVAZaItXgQ0jepOYg2+sG32djtioVSZQzeNuYNjo5Q4kSeYaLnckCyHCchOaESqp6t9H5EHDC0Q92G2xNLmphfOtUZhvdvm3l0XbbScEFgQxveGbb74hCOKNN964+uqrXfO18jw/b968jz/+mKKoRYsW4f6GwWAwGAzmd8jgUhn2exINfw4EAgmVJwgiUaXGijsRZQs/0jr03tgWH/sNlBFLEoqTxmP/FecbBmHpRUvvdlSqHu+OIAiPxxOe2unYm9I03d4ubdvWCAC33jZpYXn0eIP1WxMNCxoly/mraetiWAJ13DEQQoDQgUdNilx58kn5mSOLAYAUkzpvarZUulZJWgoCm/OYbWZG0o/vS1OP31GpTTsoCwAefGDKV+sC7dIejQnK+8Pc1a3ba1yXP/XYrAfvn+G6KhLWTYBGCLxdREYnymAToHtM/73kkyQpimIwGJRlWVGUA9d8AADUJVfef4zqHLysDP7ZFzZSFEXTtCRJmqbJv0FRFMdxPM97PB6SJLttpK7rzhlBCDEMQ5Lk1m2tb79b9uOSaO01EoSA7UJw7JbU9Ew5tdDlVxsKz/M9q9NBFMUhH87vtljNpD9kTeiYqEEQxOuvzOmqZFNTdPC4MyrgqkF39UgNBoOCIDgFWJYNyPZ2+2QA4En5tYtKHrk0laU7rojX7ziM57uZZzB6eOHzlx0iSFWua7PXvRkOSw+FQlUzb3AtZiz/d+y9dIUvM8+adW/rlLt+TT+3Wjy4LPWEsiF/NQ59IDktK8ZWhZnuSR0swv2W0kB7+1VBQwjNHJadqsYyXOJ1udnTkdPCIshSKnVxeWOPzQ1UtW+i+zG/TzZs2JCVlXXccV1OH3GYNWvW8OHDS0pKsACNwWAwGAzmd8h+ojLsKyQ6zbOiosvUUq7k5+cnVB4AqjJP7raMDVCWc744/bLfT6Z4jUvrZQ3VU65MTUuvGH1BnOUR2MOX3jVy3VNeUeyZ/GdZlqZp4fhEnudN06Rp+qHHNt/34Kbrrx//4dYEJk1bcvchupH9gefIC64+Jkbh4tb/dbVKRxxHys2b9eQdq2vqWs/8w6gvF5ZNmp1378suDgP7x2ubIrvfCt7/YEdGBj91akZ6GgcAZ5w27KApGZ2Lbdjg4sE6ZbzPcXIgCIKm6f3pau3xbzFNs59mbHAcJ0m7HbcJvkPqbbn/hb+dmw0AN9046crLJiJEQaf2G4ahKEooFFIUJbKSrnCCoAVBWLbC/6dLf7z+plWffl7e7VZPPOJi+Bs/rUde4bqc1HuVgA51dy51VvT/6dmcI8+OLDhyxJBb5k90LZ/m2z1o5wj0tm07KrkkSfHL5eHdOV4cgYC03TrZBoQQHJC65n/XlD73V88J032ZGXE9GiiKsgn3wVq2vTqyT6pd/FeQXrOifvFbPQvhRwh5BKF47JSMyWfmTTgyb+iIbq8gnuOQ7bovhCw3SRcR63f1by41hND04vzxZLBzw3hdBtsO0dEzA1SSXVgtVdfHGpiJwf7xcMHsFaqrqzmOS0lxmdAQiSAIHo+nrq4OdzYMBoPBYDC/Q7AAPaAk9B9nDFfQrnCd9xebvJGTrZjdoJUd2jr1rrxRUxKteZ9G9o3szeY1o87JGjUFAPImH1k1+tz4NyR1qWjpXaO2vuEjQl3J0E58n+uqqNn6NE3v2tXe0qzOmzvyi0r75uOzbz8pe3hmXEGRekv37/B2hA3oC2+cFLswZ7V1XmgBsSn9vOUj/74x6bSGCXM+mnrLHU9sW7mx4cDJOZ3tjIcX8Df+dWRq8v4Qg09R7id3yc91l8xdPPPg7OkHZQLAF/+r+GWti71pUZHQeeHFfyhygmoJgtB1nWGYHgfU9z5FEkEQffWC7fV641Fpu2JgJm0oisKNLUo6fpbnoPGeBx4WBerKa36uqm7dVeGPEeMcp7zIccKjT6w/76JvX3mtBABaW7sfyDzlpIKpU0cn9BOiyC4YaiOXXprz7aMJ+UqHcUxIkjd9GbuY/McHU3zpnZeblruEqhsQGenMsuyNtyybf8uy8NMwzsSJwWAwHDAuy7LX65WCwe3WSW12hwP1SO/mK2eWxFOVg8a5S1ENRccw8fXJ3PKF5JuXysE+yCwaD0m6+45yTPflLUxSMKZ7TJ+Qn5tzVK4oRsxJSg21hGgPdCWpI7RR46rqeqJB4yBoTI9hWda27W4fnZZlWZbV47kpGAwGg8FgMPs0WIAeOBJ1f66tTSy8qLDQZcZ0txAE0TzpFtdVMpVeP26+5+CrBTFhXXtfhxx/fM82tAHVzvp75pRjw0uyJ8+pmnhpQpUwckP+2mcLGn/meT5Sa6ZpOplFvqqfOjvJir8Rlrps2yYIsr5BOnXuhB9a6fOnet5d3rStXiURHDnaS/728j4mK1pLIgk4YzzptZq41jpS8kNbl/mdgv4OTVkQKCbFfQa3g9bWgjoluWpiRy4vusWfPsaREjQhNaDYs6alb9ulpKcwGakdb2jFBfwVFw2/9Z8zzzt/7PIVDdMnxNrRvsKEiUNjrH3iqY1ffFUBAGf9YfgLz8zuXCA1hTnj6Kwz52SfdWz2OcfnnHtC7vkn5fIc5Tg8OPnBVFUlSbIHg1LOtr0MoO6ZRtkZlmV7MBQXST/ZiURVaxjGyLceSD/vhORZk42GllvHVAUC+o03ryorD/RSiKdp+vqblq5a3Xj1lfEKyiccl3/z/C49K+IEISRljuq8nJL9HJdwrkuEUFbJ10Uf35yy9dsYxVoKpib5XEL+AaC2xn1OxldfVyCEvF6vKIoMw//xgoXV1cGq6mBLiwIAqqrGefydwQDHiMO27UAgwHGcqqqV6ph6s+PIc0SwqTFe7+OaAy5xXS4XHhIWTwmCYGJeKYRtev7vWikQy4miryj2uechqKGTwT04GrbXu0zF6HMoipo1LPuwdLrADqaorX6++0fAJp1raulJ23BcKqZnjB071u/379ixI3ax6urqurq64uLi/WmKEgaDwWAwGEyc9I1GgImHRIMKE5JdnDxXCbaog+TUdOmQB9o3fJQjrUQAOsHXemdwuZOSMwtSf6//Iiel+GqGn5pb+onrWhtQRdFphTs/ilpeOfSk9INOzugU3ZY17uDQ9s/4UAIxWQggpWqpt26tzqdVT7zEsizaUnM2vcEGawHAV7E4kDGxsvAEZ1RDEITOIaKqqvI8f/CMAkVRjhqbRFFUcY4VCoWGTuQty5o5PNNG5L2f1/plK10g/LJl2iAw6OID1Wn8Mgp0NPlep56KykqX0GUAAKgp7dBi7rhjajdvU23RlscbMy5oTdstb5GqbLKe9FT2/W8aSAJk1UgR0RXnFXqLCyyKMSuqXnpiZXvQePyBo+j/Z++8w+QorrV/qnOajbM5a1eRJJCQyFkEgQkXMHIiGbggwzUYY18u2CbZxuEzJmMbg40BY+MA2CajAAIBkkASQtIqbc55p6dzd31/9Go0O9MzOxskIajfo0fPTHV1dXVPde/MW6feI0qGYUxAAvtMkRXKKCrz6We3Pf3stuTy5//W9PGGRHnl5GMTHXh0XWcYhqZp/+GDEIqXVyiKShWBy7KsYUzcaYGm6amKJWQYZsJN+WLiXiJZqGIl0d7VVnrNRfLZx+447b9/+MwDd923Y86snMknQlRktqfHeOIPY0gbMb513cIpUTfU468I/e17yeWlb/yi9dSb0+dOjCckSxhRSuOH6athQPxZwb4fANDQGCxANzRGnnq6/ozTK4oKpYce2RQr//bN7z75uxN1Xc/8+pum6bquJEn+qTmOQ1GUaZp9VE021SGgIQBAvcuhYEkmrVXNPAjeCygv2vB048yLYm/LPwzO9xiD9izh3z/wLrlvbzuzS6IIaop7LSgWHgD6uRDGeN9IaaIoHlQpvtnUn2H9tSp1eo433otmWRaJTiVMgHnz5n3wwQc33njj888/ryhK8k2BMdY07eabb+7q6lq0aNHnJtECgUAgEAgEQuYQAXofMfkl7emZMWNSlhEcx4fnL7HwJf7b4i+q7hxP4cLztnO507f8IaG8pfpLhQvPLaNp88jF/a27Iv3dDENnl9WGcvJKUuRrQoiizr1n+NWfZQ3tHFcfaEejI1rtu3digISPJNSzMafo8B46zDBMoLc4z/OGYfgKdXL0va7roVDotrOLf/pyp4chLFM3HNFXR38Ui1NubdpVXjUNYzwo5KYaDcPDI8etPGR68laMcaRpB8VySlmuXkqRAAAgAElEQVRVWf+osMeN4a8N5Y8KrnR5CQBefa/30i+VFB45OwcPFS6cI1nqe69vWf5Bn4ehMI996FeLKYYFgE7dqT6w9WdgWfbkE4uXr+xMVWH2rJyW1ugRc8NvrwpYCbFx02BCyS3fmRuNRpNrOo4TE9R8QdbzvFhGu6l6LomiiNCIu6+vawd2ZrzIsjzhdhiGMQxj7z14k1tWVbXokjM7n/inhTAAOLf9jCq88M3l3VdeNnFDeVmWX3+z1dde1ahz+aW1f3hqjGdITbWSmzuGD2mGFJUHr6rhIt004IT5jDRwAy0lK8aQWQEgcsWjITl4GtVx7Puva3r51Hk/vGdL8taXX21++dXEfAm27dE0jRBiWTbzOQzHcWK20bZtC4LgT8Y0UsdJzq5KYUsu3appUUkae26DoihDCAtG4goSqa8+ZiDOMAyr9YzZFG8MdK38U/jkyzI8i4nRPzAIEGyZTWHsBX4rQNQ+Vmwl1xymMvviitBHje3zp40vMQaJgCZMjKuvvvqRRx557bXXjjrqqOuvv/6SSy7Jy9sTqj80NPTPf/7z/vvvX79+PQBcf/31JAKaQCAQCATCFxAiQO8jxuu/MS5mz549Jd9lyRfiBGoOP8Gee3zjti2s3muzIV4OlVbXlezeStN0QdX0gqoA7TUZmmaks29rb2/JXvu4pLaM90IH1i/d9Efj2B+ZlpUsQCuKMqZtbiQSURTl9nOK//JB7+JZ1HRq3ajGu5+I5H3Pw4BQyhxu77/fJQr0j380027eCAghisaALErxXFfLLcEU+87LTTee37K549T22muRa4sDbSXaegexQ+FgM4Ell881eBljr6M/+thv1kf1EY3v8FmhpTecjHZHDNGi3NvfH847sL04rrhs7vKVryaXH3xQ9u23Lvh4fc/Mmbk/uXddcoUbls588JH6+JKsLO7wufmptFpN0/zx4Oe+YxjGccaRjjIQP8LLD37EGE/GozkNk4kd5jgu8xDdCRCoaZqmWXj5edFtTd3wpNXYdv43Kzq69A0b+6bVjM+Mm6ZpQRDfWdXx6G/fjy//0zO7ykrFtvaUi2MQgkcfOntcx0oDQqhpwRVVHz6ZvKns1Z80nn5rhmHyrNo3Zp3WM/63LLWNT3fb9hqEz565dt7vq798Q39U26P+CwJtGMHTDE89ve1rX6kd7+CMH3X+YgvbtjVNo0N1AFsQgoHGd6Q5Z2bSjnra94R/B4SQh+v/pVWc6qeNbTrpR5iiq5f9MP0fhaLGt1rrDy2Zefi4zmVcDFhuKle2KnewgckN3KSbUyxAY4xt2x4YGmYYOjsU8mcRMMYRVVU1nfbG8VWqlwmZpjne7jmOM1UOQoQvDnPnzn3uueeuuuqqzZs3L126dOnSpYWFhTNnzkQI7dixo719ZBGYKIr333//woUL929vCQQCgUAgEPYL5Ev2vmBiMTWxhfPpmT59OlnKt/dACNXMnDNVrRWWVsC5d2qmwb94M+NMytnWJ7zjX73Tz00WoNMMOVEUKYryo18ty6qxV357DsqBDgDoQjNyccsQKs3CHRxo1M7fD4a/DEmptDDG2NKZgaZ7rxnOpboBRlmLrOYvt8UsAADP/c8rrbddqMp2nw5FmGa1cPVOqE5zOg6i+9Zs/sOL7d/+et2v/3fu1T9aBwDz5oSuu+HUhJrDLgrIU3ZAYTvB6urOXeqjv/l05TuJpiUxXvp3a/xbUWR++8iJkUiwQYGPqqqhUMivM0n1mWGYWPymoijpjzsZYoHbEyAWjr33iJlTK4pimqbnef49Zds2VVE4b8tLG0+4fPp996yYd/VHH69/7KFjMrzsPM8PD7s//9WG5uaAC+u62HHxwiPza2uzwvlcX7+5detwT5/Z3BwFAFGkn3nqnKysCXoxBVJ+9BkQJEAzxnBew7td5Qsy+SMVLT8svPbPaSpgRJXOTietYqsfOACAYq5x5WPw//4168/Pt/ibOI5KJUC/+nrzZd+YmclsXDyO4/iKpx/LH7OjUdXooFKTgxpK2U0drdNLymvHbConXGSxIc5O/Ciz2j4MVR7rhfJd142apiSgHQddWr7rFVFPFw1d/t59w6UPyaGszM9lXJheyrQgqdRnADCndHI9oqrv91kuxYD/easa49nloDchBSMKQAA+xeIXjAPSEiL0YfvgcdWF43oaEAGaMDEuvvjiurq6JUuW+E7Q3d3d3d2jvh1VVVU999xzRx555H7qIIFAIBAIBMJ+hnzJ3hdMLPw5Ozu7v38Mu8NZs2bFJ6kjHBDwvGB86Rfu8gezB+vHrp2WFlza26rm5oxaCx8KhVIJ0H40WSxUluO4bXBMGVoPGGzgC9mmFnt2HtO5yztmurtSQhGr9z8DxV9GDAsAXnSYjbbnWDuK0bYRp44gtcJlRoI9o5u3hvN5gEimUrvn/eyuVf7Ldz/uyZIpAJhVLV97/cnJddlQTsxK4gDFNIIfC7ruplGfAcCyRinXuu4s+fobz/zxlPRy7eSXlguC4PtaxOQ80zRZlt2ryzsmBkIo0JdmCvETPPq2nr7RNsYYY8xxHMuyqqoeuuKJdQed/z/iujsHD4lJ9ulhWfaBhzav/SidCtnVZXR1GR+sGRVTXFcbuuTi6sVnHTnlsrvrOgjRFA5QePM++bdac9RwBgK0G7yEYw+dh1yQ3vcpF7XEXiME3z136/mnzLzspnbD8CKRlMMPY4ioOssgURTT5FTw5+RilugURVmWFQqFbNtmGCamsGOMe+CgHGgAgGL9n62N55ZXp3O+EgTB87zW+VeUrH4geWvV6vt6Zn5psHie67q0Gckf+LTj6BuUncsLm5anaTP0t+u1r/xGEIKNMiYJn/ppKmFbQ4m5DXyixpTdaNFo9N0BF0Y7bDgU2wjBhx5FivETZcR3GzqPqS4a1x+LA/2PC2G/QFHUvHnzNm7cuHz58mXLlvX29g4MDGCMc3Nzw+HwiSeeeOqpp+7VzAQEAoFAIBAIn3GIAL0vmNhC8pKSEv/La+BWSZKqqqrIb6QDFEGUYPH3+/r7xJW/lPSuiTWys+DkK+8ewHj1d2+ae/jcPIyx67osy0YiEYSQn5RS0zR/+HEcx3Gc4zjxMmU2PVRuvOarySYoQ15OBV4/5JTOxm82ovnVsDEHdeZ0PdCPy3KhHSEMkMINJA6PHhELfnDH+qMW5AOA4WWUcC9n17r7r86t6V8m6+3d084N9a5+Y3FT49mPoBT5r1zXPaDHf1nZBI16DTNA8ostVIekZIM+kxSgfSMC27bjI15t25ZlOb0A7XdsAmHXk5laEwRhMkkUM8E3HvEvdbzY7bquaZp+1O0hy5/45OQrf7f2W2bQRxaPb2myYWNvevU5FTt2Ru79xabFZ019YB3122sC1WefrC1vDNecNGYjpmma2aV8UiZSHy2nouiUL6dvgUGJY6xOqX/rN+Iv/lbx8cbBpqaURuE//+WGu+84StO0VAH1/uCMH8M0TfumDf4Qis/uq2mGKhUqqBsAyuyXmnaeVVV7UJpuUxRVPOdIe63E2omH9hATalk9WDwPACwuq2/2Ba7jqLWnqLWnMP0Nbv60quV3UF7iXYMAuOdvcr/68N6YeM7m6PYUtymNvVRPfmvqbNbXdEeBmXp3f5WVVzV2H19TlPn0jG3bJBUhYWKIorh48eLFixfv744QCAQCgUAgfOYgAvReZzIL3mfPnr1169YE/ZqiqLq6OpbNICaIsE9wHKe9vd3XQ8vLyzOXBrLz8vH5P2n8eEX11j+N96Bt4aO+9mPLFxV/ed96v/DOHxxRW5vth/L56hjLspZlKYoSH7jqw7JssTaiPmMAlxWyoNdmszmwLMgqg62xmnmoLcNeuZgCigYAqqsVY/jS6bkAzUVs0yDMTr9j2bKnCt79BwBgRLXPXuDUCGG1Zcusa6UUeR3hwM8WFQpNMBLqv86rtGwXMGA8kjISY3hzeeMpJ1bCbvcJ30fVtu3Y02MysbEcx/mxz8mbXNdNlSpQURS/AxhjRVF0Xc88JaAkSZBCSc+EWDTr3sM/l1TdU1VVURQVYN6WlyJrP/3OU/2//Nn8wNP3Z4Yuv2r5mCL1WP3B69Z9On/+wZNpJIGWT9dVWunC6nO2rxw85JxMgru7T7i24l8/DCifuSh81lVjDk43KAZWoPSr/otizmdMr7CYbwGAJrXqy0tHJfbcviPietgfhH4JwzAsy8YCoiVJShi9ruu6rhsb7dFolOd53/Lb87xhXOkL0ABQ4b3SuWVn0awvpek/x/HWJQ/gp6+O5Xf1QdjpWPCtvNbVw1XH5295oX/ml/ypGsMwqJxyALDkQiESINmzjtb/xiPZZ96Q5nJNjGxFhsHguybbMyJUsCCbI02NZOw4jrEX1GcfjZU+2tk8ry44qWYy/moGkhWDQCAQCAQCgUCYQogAvdeZjACNEJo9e7b/W8i2bZZlD+iQz88fAwMDsdwyPlu3bgWAOXPmZPjbFSFUfsTJ9uEndbY0Vqy6O8Pj9mXNvOCeRGWWotAprY8yjbodKmo7+gZfcKEoyhfEk8chz/OsOaIutcKhITzAUToAcDBxc2oTRqIFf/WztQBQW2YanpjHdIy5Y+/0o8Lv/gMBIOwJWkQfNprxfLFuLh7oRko2sAHax4FuPiMI/GGH5m7YODCuvf5n6ZwHHtmcXP7c04v8F57nRaNRURR91Tgmro1IouNMyCbLsj+SU+1oGIaiKMmG9QmmE6qq+jq1IAgsy7quGwtH9Q/hH8UPK471cwId9tnbyhFCaEzjEf9ENE0TqktPPDbxua0oSnOL+uprLave7Uh2A6+ukkMz8jsH7P6PO103Uwn+O9/78O1lUylAl654eOxKXgYWHK7rCMHTLVZuRSYfloODv6tEmJll+L0C1O47ANeGdt59+9wf3LM9vs7XLn3z2adOi0ZVmqY9z/OywoOcnIs6/BE45p9U31bFF6AxxlEojm1CAEXMNmf7/VbplbKS0ppZCWV1nH1v+D/fjy9EAJXv/LTpxB/YljVQuwhTdE7D8qHqk3ieNyzL1SOB6rNPXseazo62gpKy9D0fk207djazOQ5iaOwVW/0zKstp13TpJK0fYxpSDsKQODV+IB3dvQAZrZWZGD18bv/AQF5uSjPrBIgATSAQCAQCgUAgTC1Ezdy7TEmQJkKIoiie54n6/NkBY7x169YE9TnG5s2bxxWAiRAqqayxljw+ED5szBEzLJWf9fOADHyP357HOhoCzEU6a16/bdobtyO1y288WMWLW1nPsU4ONUEnkHgskACAMrWmpihCUCdvjbo5LGXDmFcjK/srHd/Qi2sAwMkt4j9dXfD23xBCKCsfWC6g79g70AVoAPjB/x07rvqlJeJJJ9VJEi1JtCwz8f8AIBKJRCKRaDTqGxP7r+N31zRtvCsn/MGTXgUO9EJJzuIVjUZlWTZNMxKJ6LquKIosy7Is67quqqrfeVVVGYaJHc627XgDhAyJl933EhzHZRLNrWkaz/NeSLpkyRxxt05H07SiKFddu+L7//f+8pVtyerz9LqQUZzV0mvZLv6fG8eRAdVxpnJNgGkYjDW2+l/9wv9yXMAdmkCqP4VMpDuwPIEwGzyJhRCiwIE4B+DFM9dPqx6lY7IsQgj8v6EYY8HWKEONjVjTNDPRoGOvdcOM4sJRp4Ac2x5jmrmkskaXixMKadeqXnEXQkjHjLTtdb57S82yHyDs8RwnKSEzVJqmQeW9Ryf87cKy7Ya29lebh3bxBQ7FAkIuRbcJBcu7Tc6IQHKzCDUxKf2Cpuo5bE0uOWomfDQ8jiu2t03kCQQCgUAgEAiELxpE0Ny7ZL7knHAA4Xne5s2b03+427ZtG2+zFEWFTv+2veTxlqO+pyqV8ZscWhjMmQkAQ3LVovsC1hFfeE7xnIa/xZd01p42A79BYSvQ+ZRhGAaPRDp3oen9bklCBRfTwzg8jMOZ/2TXUR4CAM+DoYFn/nhaXh7nAqO62QBAeWOEi5rZRT095uJX5/9x9s19x10gbv94ZANNB9pOu3o6Z4ADhdLSohOPT5SlUlFYIDz7p4sxBk1zNc2NRp34fwAgyzLDMFIciqIoiiJJkh9iTNN0fCA8TdNjSm+ZLODQdZ2iKF9Q9kt4ng/M+eaL47A70jkajUaj0YSpmvgjWpblS9Vj9iGhBZ7nM1FFJ4YkSRnOBXqe5yey81/39HqqSv3yvs1fvfRN/yOLQVFw9uKyK781Z9GSup6QbFgjt90zb/eHw3vC/x954Phnnzr12adOvfaaYGE6EolM8KySGOzNdEYqk0ud6orxA63j6FMSDI4Oo8TnoTP6wXzvj48AAEmSPM9jGAYAeWLI8zw5lCUpIc/zfL+XNMQ/6hmGUSHxaYlTBwjH6Dni8qS9wBDzRXvYsiyOYboXLh2qPLZq5d0AGADajryu6YTbdpx4R2DTynBzZKB3zIMmYFnWO7s6l3Xq9Z4SmLVvSMiRo33J5WlgmCkSoMcS8SePQzF9/eNYcXKguzwRCAQCgUAgEAifKYgAvXeZjP8G4TNLfX39mHVc151YCBVFUSXTZgnn3qFd9FjfmT/rWfTToXPvh0seURZ/v7X01PMfqw4KUIMbC16ML8GACgv6AGDa8HOKErD4nWXZMm35MBQBgEFl51Id3XaFZ7me5XqWM4zDTdaMk6/BJ1+DW6y6TLq9g79gB5zQJZ5I2waVlW3Z9v/dMmcXOselQ9vR+XjM3IUAhx+WBwBVtYWXffNtrWz6jkVXq10pvTtYe+I+IZ8pfnz3WdXVY5tBLz6r/B/Pf4Xj2MDIeoqCNRt7KIryY59jAICqqpqmcRzHsizP8wzD0DQtSRLLspIkxSTjQPzEg5mchWmaqqpSFCVJkiiKFEVNydwbxphlg085PbquT0lgJk3ToVAoIWwcIRQorweCEHJdNxKJUDS9tXX4plve27xlIHYLV1fJ37hm5mFnVGUdVvxuh/uP9/rX1I8KOrYcfO7F07Ky2AvOqwCA//vhB+9/0P3Sv5se+22ADQsAqOqUTcy4XqbqW8my+8eMrGfVYLXUzJmUj4QI/V1GAQD0O0VxxaN6rkY8fwLGMAxBEJDnAMBAdmm/UjgQKkKh3JgDTHDPWTZ+LDmOw3pDCXWoDLwaqmYdmnBBm4+/tWPB0vLVv1YUhVG7AMDhsxH2AFEAENr+hoFpTdcbT74jsEG8enyZA1zXfbsjEmXHUNsHxLzMNWjKc/35le7e3g8b2t/b1f7hrrbO7pFEmpnfuZ7nNXF5GVbOBISDD71+2M1cViYBBAQCgUAgEAgEwhRCBGgCYXy0trZm+Lu6p6dnMgfiOC47ryC3oEhWQn5J+LhLWCZA6Vh0ajHrjBKe2maezYMOAAigwFiXvAtD07w3mAVdAFDkbi1wthXinRS4FLhdMCPihduiI1F+9e2hMbvaxp0YNVyaplkcrVA/yAGT5xiqbo5irs+nmsvwOwgAPFfqaaRskzFGgjQp24hf7n310kMA4OP1vQDweM1lv2go/dmLTavf+yTwiIW5KZeEH1hQFPXMHy+5/NKUKr8g0I8/dtrtt57hx5AmayfHH1dYc2j40Wd2qqouimIoFIpFdMZkNdM0LcvyrS1EUdQ0zfM83wojlfTmpxAclwTjeZ6mabZtT6E7ip8LThDGnZ1s8n3wZXpN0+IvgiiK4/L3EATBsiyWZdt69E9b9O/dPBK5vODI8OKvTR/MC/1rzVBTtxm476PfOfihGw9+e4uanc3+88UWABgctB54+JPn/roj1eGmMGST1oczrMkPtso4+BRiSB2fBpZb4qRu5CgqEkUZA+Qxe+K1a6pGTasUFXH+TDBFUbZtJ8Riq3yWaZqBUfa+WUqChZHrui41kfShDMNgapRMzw23AgACPG3ZDxqqF1P6AHJMhD1GH4CBNnXG6VLPVkmSkjxaRsjrXm8G5QVNxc72bofKyIFnQMiVMtOgZStq2/aKxp6PdK6fUYZZpZ8NrTf515qHXm8aeL1NfbV5aHljb31zSj9rnw0NkwqETwaj4C+3Ns2taxw7J4EPCSAgEAgEAoFAIBCmEJKEcC9Cfr18/sAYDw0lhr+lYnh4uKxssnmi4mEY5h/Pf/nUM55JkJn+59BPYbTWXZnbFHuda23pyZqfYOOLwAUAA5R+LVwqNcZvuujmiGF4sLvFbS3UouqUXbJQqJFfrKqqoogRNtTLiCBW59rDLOUWGr0DwrwdbBYC7NEcAGgF1QDg7c4o6LFCvKCq55YCwEv/brz8u4e/1ziiZ728Kbqu6cNrzz+YEfcE7jmDfVxxgAv2AQpC6JqrTrz060etXr2lpU1tbFKrKpWyEqmkNLe6ulgShXiNuLBgVBKtW245+JE/N/njYXBYlyQBIUAIKYrium6yd7Nt235Qsy+q+v4DgYrquNRnjuNiYaSO40xh8i4/gngCarK/12RiGDVN84Xv+JDJ8fbENE2O43ieL+Pxzg5zZ4d5/mUzNjZo2yLOts0p7TKu+VLFYXXZqqpyHNc/bJ9/bvUTDweHPCdQUDB1YaQpPkRDKeKjPaZSIET2aL5lr9zjXPDzVF7hCCFMBV83isnIKcXBNIMSP0oPEGt35jB9CR094ejslav2BFzfdMva3//mJACgaZqmaZMZndEUITuUT/U18Hy2n2kwhiiKuq4nDCGappmkNK08n1Eivh1HLJ2x9v49J4XY8NYXAcAQ8g5d8wtNKWs94qqhaSeDa1d8+LAWqug74jIaQFXV/tpFeTvfSG5w6P2/F570tTGP63keQqgRCxksRBlhUMjNV3siSkHwZoxztF7wsMnwK9sjDp2YJBYjhBENAICQSXMNwDU2D9a6gzlZWTnZWckG8T1syhSOgHFxtLNTSbQ9KY20tYfKAIDyHIxonPEzp5dRmto7qkoTGyQQCAQCgUAgEAh7FSJA70WIAP35Y/v27ZlX3hsOkoIgrFpx5ZnnPBWJjIwuRWHCPRvj69TPX3owLNvTDYDa4T/vyv6qbdt+PClFUTXDz29Hx9Z1/tPLLoE4GdgCyTBGRdypauIwHqKrRa+vkV/sOA7G2FRVX+6MimKOPSw4hq7rkd2qTZHidEqFCS0AxoAQYCw5uqgP9GWVAQAgdN/fv/bmm5+812jeeV7pz17p0CwMAF0R784/bfzOmUU5FVUIUdh1qovyJ3wBP7MIAn/yyXPHrMZxXG4uNzBgZWextXPzH352z0xDREMUhfoGzPxcXlXVTIaf53mB5rwMw4z5+PI/dF3XOY6jaVrX9Zh+NwHTjEB8h5BoNBrL4Jc5vnl0+vSJY8IwjGma8d7Z49XWaZo2DMN1XYZh7rlq5u2P16/YmBhZXFUo3PqN6ZrpihwFAJZlWZalRVX/cB6Gf7zX/6Wzy//1n7GjRMebZDINrhC89CESrqPBc3JKIU6ARhgXrfqdMf8bgcMGY6xWzs/bsMcmSMutdKtKc6PbqvtfNL0zxvTU7rRnlHNbEgopwJXMR0NOfsIXmRk1o97ruvvQYxs6280f/eBwiqKSo4Adxz6k4+ld029MSF/pe0bHC9AIIVlAuWhX/O62xwqZjc/s8B6fkKhS5uRPy17/hEtxXWXHV+z6t6S20TQdiURkWfZooe+Iy8BzDctWFGVIOTF35xvJI6+k4TXnxK+mGpN9PZ35xss8NRIlTXmXeOOZPukT84siXQOhIgAA7ImWJumDQ0KOxkoA0C2M7yGMEbWDyQMNQNMA8FzBKi7Yo26ne1QhlKw+A8Bu9dkN631IkHsoyYuLemZdy6GYVHHQW1y5PLNpLdu2p/CeIhAIBAKBQCAQvsgQAZpAGAcZWuLuVRBCr/3nsrXrtv7q1xuam9W7byyDPSIkuBQ7h1nhv8YArXBISffbCLteyDNN0xfyMMaNwvl1Ox8GAJsSOqGu2aq57qZNgYfbsGkYztrztoud1+1U8Dwfk/ZkWfZfF9PdapLgZxgGw9sOzQEAYIwAY0Tl2MPDjOIhKmRHokIW49m8Z7uIorFXnCssOSr00LJuzRolSvzq1a5Cpffbi6uLwnlTGGB7IPLt6w/t6Y08+VL71p2jIpd/+bv6kMJENed3P1no+2xk0prvmBFT2SiK8jyP5/mEsGhZlm3b9jwPY+znM1RVVZIkQRAYhkn42HVdz0TCTg9FUY7j+KL2eD/xUCg0+UBsQRAMw8AYc9yIh0MoFBqvto4xpihKEIRoNKrw7FFzct7fPAgAIk/9cumcviHLcryCLMpPHqhawLJs/HVzHKckn+/oM99pd2769uz77k8UYeM564ypXG+RE06aNwIAgLyWtQh7itoDAA4nM9bIOBG7t4mCEEmh+HvsiImKKYd7Dzutqud1iI6kaR1c/Ye8Y69M3xkdFQIEnHsHzMtimhIKOSZx4J25qGJ6XT7G2DAMT8jeswF7uW1rZnb+FQBoO8I4qk5l+7My/oDnOC42rUJRVK7kVlGvJzQ+6JYEX6nks4juiXnnrSEAsLkQ8tzCjvfbqxeVNbxGIUTTNIVQ01E3cpYa3vpS90EX0+Zw+bu/Gsw/KLcvwMZk18YPaw9bmFze1bKpkno73mXtMHftOvrozHq6uxGpgLV0m+IAIYuRhkJj+EdnDFpv8NKuziNLsicwtxSPR9HdclFyuU2PEVn/aWProbUB6XwTcF2XCNAEAoFAIBAIBMKUQDyg9xYkfc3nj/FGNI8Z1jcZ5s+b9eyfLnl7+RVVVWE3Lqava+55FHgAEIFwbyS/vOstGtsIsC8d6rqu67phGC41ogdVD7xl6Gwq9RkA6rcNx047ShV1OxW2bccER4SQr5fRNB14fTzPK7AGi6KdhWpHONIeVjsZzx7ksj2KZjyLQki2o8pge5athizV09RFc7IR9noioySk6jzm9sWFN9c0lv7tZm1yMa2fAxCLnnwpwFMVA3zj7Jw37umdjl+gMx57pmmyLOt7TQiCIIoiwzCB0gvVeb0AACAASURBVK1lWY7juK4b04UpijJNM3lWhqKoyQ9+QRDitb9x7ejbWyeETiOEWJbluIw8H2C3Ag4AvkcwTdOapo3LABoA/PBn/3ratv2VUwpv+0bdzZdM+8W1M7WoKjJWtuDEZyv19f34Pvzo8hn+6yffHvjOdw5Kc6zvffeUcfUtPZIkuUEqHu2aHj0ydR1Tn32Une+mas0X7ntqjhNLoapnlIZbNPBh+650wjoA5BVVB5ZzoFKQ+KfWwYmKoSSiaDRKURRN01bcSTHakK8+A0Bp858Za1CSJEVRJEmKRCKGYUQiEYZhQqFQKBSqlFuqqBUA0GeNUjzdrHnpOx/DG9oTMz5UcIjjOK3Hf5/yLFHrKm18AwEGwPlaMyBk2zam+YHaRaUfPmzS0kDNyZI1GNhm3cePJRcOD/ZWUm8nFJYLO2V7fKMXAGyaT2XGMkk0VlrZa3/c0JrgfLJv6GSy9sYSJQKBQCAQCAQCgZAKIkDvLT4LobKEqSVz92ef/Py97hRBUVTxzLlw5RN95/+yp+K4SM60Sm6TBWKLOUvp2hzWRmQdD7G2bYdCoZi2pev6UNbBANArzf7y98c4L4xHHhTt/MkJA5tlWV8+E0URUwErKvxkd9FoVNM0wzB0Xc+N9hTqPWGtJ1vt8Tc5juN53jCrMK6DMY5fGX1srXDDIeqt1tPT//N/xRv/TrmW9Nx3v+CzO3MPCg50/c2t4SVzP2GRDQBFeE1CXjWGYViWTVZy/RBd13UVRfE8zzAMjuOi0WjC7oHXXFVVnucpikpQdTmOixdVJ4bfVV8NNwzDt+PIhJjDrG99GyuXZdl13TQCtKIosbNWFCUWQu66rqZp/plO4EQAwHEcP47Ssqwc0SnO9nQ90Uc4RnyfBUG47ld78nA+sbxv8ZnBn/7ttx7O85lq6xlihgJiSwHACBX7LzpmnB5fnr/hhcCPKaTIeRteaDv8v4qZzf70WAKVmx9Mr0JKcihQLMyHehEGEgqni+sTSn790Fb/+vtu1MgaufiOuMd6mHX1wq7Xc1CT6LUCAM/zAMBxnCiKCDt18K88NBKyncOOctxnuExHZs3GJ2Kvh2Yupmm65q3bKc8BAAq7AFCz7IdFG56m9UGGYTDN6myodcENDMMMV5/QN/MctTjAogdh1xidihBjLAwFGEYDwAwv5UQj49pTmcIyY7qYrOXdpmJNcFqR9hwU2G2MAXu05wIA5QU8uzyKzlD4Jl5qhEy46KKLLrvsst7e3rGrEggEAoFAIHxRIQL054qhoaGOjo6Ojg4S2rM3GB5ONG9NT+aS2SRBCOUWFOefeS0+87tN1hymq7l8cFT4G4UthXU9z4t1yXXdnqIzNLbgv+4SXXeM0eIBBQAuDohx5jgOYyxJUqdY2MfnJGeXSkbXdS0ybKjD8b//o9ForjWkCAwG1E0r1y2u+NbFc65bMnfu4dPmb3xciHTGarJmRH3p12Me5XNMQUE+TY+KSUQIXrrbnpO1R6nMgrY6/K+YnBoKhXw3W0kKWERP07Qf1W5Zli+2Yow1TZNlWZZlURT9sOjAzniep+u6r9bt7swUxEsihEzTZBjGTxznHyWTHRN8n/2zgN1ezJ7nqaqaoK37SJKk67q/VVGUhMN5nudfpYmdji/rZ1IzIQIaIFEV/GjAq6xMfLD891Uzzzrz8In1LQ2985cEliv9Df6Lkm2JfhSMYyRVBybSI8lDbtV8TakObBCBZ3z0bJqeUBTVbGd6gjRyf/yjg2SZueqbM849pzwvl+vo0CmKwhg7jsO4lmKqI5eVojt3xy9btIwAh+GTfLRdsTf5A94f2GH0KUJ7PoYEDT138LlMpls6W5pin+vAtFMRQjXLfhhfwU/lZ+TUqDAy1UGzvGXb5e/dl7ft5ahc0nPQRcnNIoCBbWvjSzzXDTGJorxPpbgd4WAPGYdiGOwCJA24fUKEz5KDNOiSSMBSj3hciglMP1gc7QREuRQNAF6KBJhr2oOvUuIhvtjznYQMeeGFF95+++2cnJz93RECgUAgEAiEzy7EA/rzAMa4vr4+/mdSf38/QmjWrFl71QXii8Z4L+Yk3S0ngBLKyh5chZJSOiGAml2PDSuzLT4f8haOKHQItVVfWhB+v6l5zy//Rx88XpYpjuM8D1+zdIWfgRADBQAt/KIEA1zfgQEAdF3PZodUdtwOufHEdMNCBXdmF/kNVW74W3LNnOYP+7o78wqLJ3ysA51rltQ8+sxIJrS6SvG317b4gc/xUOBijBmG4TjOtxgGgGg0KklSsj00QihhdsHzvHi7CVmWk+twHJcc7BzzBJ8Msixrmua7UWe+Ql+SpGSLDF/PZVk21o6qqqFQyL8Ioig6jhNvYz35zgfiB5WP2bjneek9Zw0Llx0cbm2N+rcay1JPPXFGZWXJ3jBGD1XUjXuXXe+plcfE/zGiaTr84V+Hag8Gz+6c9tWK+sc4sz95x/y+D1R9SZpsfrkVR0Lnxxl245jqbT97ZkQ9P/0qAOyp2nC2qzuOw9kGch3WtW2GA4DGukvC6zcxnsk7Q2jWbAxYolWRUoec2QAQiURCoVA2tMQ3nnClaeREdj7Hzb40fZfMzh3+CwxooPqknMZ34h/UGMCXhoXBBkEQbNtmwAtveIY3+lm9X+7aiKed7rrBobgFm56HQ4+LvR3o70xj1SzbUZXbk15yFh7cirIBECDkICbg9PYVUU5RrEh83wCgI1Q6jib83LYAAODnLczT+hDgPikcfERW1jQtcE5udKtkOp8wNrm5uX52hP3dEQKBQCAQCITPLkSd3CvsS/+NgYGBzZs3JwfpYIy3bNlCfjtNIYGBk6kIh8P7JVeeQ6cMu85St4T7Vk3f/v9CigIAruvatn3vj4867ZRSALj+uoP+/KfTGMZ2XTcajUaj6qMPHjd/XsE3L6tikRWhyoctPkG4FATBjxDEGIuuGdZ7JiNAx0AI0Y4JAIw+XJwUYunzwFObFn31ef/f6V97/tE/rBoYHP7ijPYLz5lPUwgALjkz/MR1u5LVZ586/C9RFOMF3ASHE5+EEOZAAmM8Y4WGYfjN+hHxGZ9HSlzX9ceSr6GnqUlRFM/zftiynzMwfivDMH4sM8uy8ZsikYjruq7rqqpqGEYmovPkx3aq4Ot4JEmKv9RbmgI6trPDvPJbc/Lz+ccfO2HlW1dUVZXupUdNTk5uYHhpul0+fTV+4o3n+RByeudeNFB4DGblSCTSPOO/A3dEANpHz6VpmeeFHqcycNMuODOhJIsZ7ZiMKFca8fxltCEaYZverfJT9Mczb8EAQ7XHUsil0cinzDAMRVHhkDMdvYTQGB99DtO9Y9PKMepseQkAMEDDKXchz8ndNeKS4Q9KBEB7tv9i2rIfcDRFG8NaxUJO72886YdGTjXLspqmdx4WIHPz5oCm7Zl3cYZ3pulGmTNKTN+KcgCmevBM9AmgciHJ1lLFaAciWhoABuwBQInakRBG3S/maWw6ffn9roxMsb84f1kIE+bggw+2LGsvzV8SCAQCgUAgfD4gAvReYZ+t2WxoaGhvT7dGdcuWMZI7ETJnXIsrCwsL915P0qBxmcQFeyzL+i4Huq5fefnsZ/54yuFzs1VVlWX5th9+VL9NY1nWMIwbbzj4K8f1tXCnNKMFyVaYvq2zrzyqqjre/GyB8DyPMaaxy3j2ES98O7COLhW8+9Ge1dMYwz9e7/jy0tdWr/6wr7PhCyIW/OXhM27+5sylJ2xKpR7124V0Vwd4bsIFSZaSKYoaU121bTswVNBvPDY2fP/ojE4gNSzLxhrUNI1l2TRBwZIkmaapqqqqqsln4TiOJEmhUGjyntRTMrmiqqogCKFQKFWgXPyHJQjCA39vCKz21obhl/7xtTlzpk++S+nZuejW8e4iN38UOzuOZcpfvqtk2a8rmv7in5qqqg1zbgzcsWjgA0NPjM2Px5YPCSwvdFeP0SfsASD/EzRNU9M0wd5zIFfO/bj623ncHmdnhAAAy7JUid7BAC3eUWM+VGr5Nd1dnWkqsFYEADoOvxJjXLLu8ZjM2l16THLlmhV3hFpWyx0fY4Dw5r+3z77IX8Sg5Qd/4tq2D2KvK4VP03RjlvLRGGeSnkyergjl6LEgd8x4duaassZKjOeybqZ3q85JAAgQBQAdodLE1T8I6awEAPlaL+0FxI9bDL+9qXXMoxAbaMKYHHXUUV1dXWvWrNnfHSEQCAQCgUD47EIE6AOY7u7u5KX0CWCMvyB63GeK4uLi/RL+DACR0Owx67DWgCAIAMBxnB/v7NsdyLL8xB/r+/qNw+eGBUFQFMV13V7x6Cjkp7JBcBxnCp1GEEK+VYKs9ubrff1zLwys1lCwILD82Kz3Svv+jDY/0NfZOFVd+sySk5N11mmHtTMnJ29yMdU0WJ3X9wkAQJL/KcdxoVBIUZSYqstx3JgR0DB+C5oJk+C2nEmAdhoikYjneZNZlcJxnKIoU7W22jCMSCSCEFIURRCE+AdFgjuKh6lUD+9vXTBt3zxhps05LNWmaGmwHFyw9s9Zno4QoihK6N4BAB1Hfzlk7JH5TMzaXPBkXqRhXZrOyNnBhgwKPdSFD200D44vZCJ9ce8QAPh+4iNNmRHAHjgjQqcVrmw1auN3F+zGOvQvf88K6v1MLnZ46Ol08xwYA4CZN618zSNCpC1WXNT+XnJdm8/pqTuzbdZFjpjXNvPCWJpBx3E8FDAOs+pfAQDP83oa3h2zqzHxXbTH+P4QQGajblDM81/QnuMChdE4Hh02zToUk6sPCE5Gtu/xRNngBUB9UphKIYLvRKHoWN+jpmTyifD55rvf/e6CBQsuu+yyl156ifiGEwgEAoFAIARCBOipZ9/8VrFtu6enZ+x6ADt3pluQSxgX1dXVY9aRJCk/P3/v9yURjLH6/m8ru14Ys2ZV0x/Km/701vK2/n59cPdSdUEQrrx6xZtvtbIMdcfdawDAMAzHcTzP22fKI8ZYVVXbth3HQQh1FxzUtuj7ydXe7K1KLjxpQS6HdADgIVra96z76cO2Pdmg188+BRWHtLmHxpc06LO97v4qYyQiMmvg/QQLC8dxNE1TVTVe1Y2ZRKeCpunAMMAEGXTyqqgoijG5LYamaQlJ/ARBkCQpE1dlAIhGozRNj8tCJx6O4/wI64ntHojjOL77B8/zsUyP8VdPEIS7n9qRavcjD62ews6kASHUdPTV22Ze+HbF1xqmn2MJe4Rjbrgj1V6lr/20uHNDeLChaNVvAaBo4AMMKHZ2hmF0VAXk0wOA3NZgyx0fQRQNL3i6S0QDFj8tvoQxhuJPAxCiKEqSJP9ppqpqjtYPzJ5B1ZJ3su7ukS8ruE/GO5QRAm1nShcR5KcutA1eHQmUTjUz3D7v6pZjbzYMwzTNlqNvip/8Mwyjb/b5ybuIWlc0Mmy3PF/ObUjVgS6j3H9Rao98cHqQPcW4VGk/tJn2UsptLsXipDmwMQOiMaIGxFyDEQRbz9X7OWfPFcg10mUOxIgCjLP1gDopO4nQ+s6h4E2xZsksPmEsKIp67LHHWJY977zzDj744D/84Q8bN25sbGxsSgEZVAQCgUAgEL6AkCSEU8++EaB37EipTSTQCSJubJpeHaDZEcaLLMvJWdfioWm6pqZmX3YpxuDaZ4vUTRlW7qKqf//kVgC4YelBZWXFCCFVVR+6//irrl2hRp36bUPtHWp2FhJFUdf19EN6yoN9/Lx5vt43TEvSnDNzN78aX+G99QH6wtUnjyqUYMjZdr8586b0DsKfA8K1J+/YmVdHr2g168JDG2u8FfFbQ2bTcM6RFEXFVN2YLTIAIIR8z5MxjyIIQnpvjakKyA0MNPazEVqW5Ufl0zQdjUbH9QPetm3XddPfvKlwHEdRFH+VwHj3HZPY55IgpjMM0zsU3NXTjshNn6hwaml2y753bzOA37eFokjnZHNnnZJ/1AwmV2sdVCreXGOsXD3w8JK+0uZV/i4IIH/DP2Mt8M4gGv2XUWNyPcRQOHFKQ7R6DMehU9+zncyJ1d6ryeUhaBGhN77EQ4mN2IiOOl6OLPvTLTQe/eBCaIN44Tzjzyw18WB5G6V0HO4pWZg1sCOr7UP/rcnn8OZgcjWM6KhSRgP4WnnykFOLDyvY/PfkHfXOVWVSX3J5jCg7C6AVAGZLa3ZBbapqgap0Mqxn2xTrhza7SRJzPJKtJRgx+3shwHgM+2lksKLBigAAGCPAFMYDQq5iqVFWShlVjZDfH94xTWbPHNtIO0FEWMkwTSHtMguM8f5a1UQ4ILj33nt//vOf+6+3bt16xRVXpK9v2/bn/ssJgUAgEAgEQgIkAnrq2Qd2gWNqgjEwgMqHdtK5H+5oIQEXU8L06dN9/4pkcnNzZ82atY/749PduLlo6IOx6+3mW78GAOB56pijS6674W0AEEWxr3/Pkudbb/tAluVMRLcpT/vOMEzMiMB13f7aE+O39pQc0dufqBAxFCpjEqdkGLDl+p/vy4yg+4uK2sMipdeVD7wreImBzJI3ENJ3sLt/6CqKEh/sLMsyRVGZuDanj4LHGPsVJjkbQdN0oECMEPI8TxRFVVV1XVdVdQJPM8/zEsKoM8TPUhhogT1VyLKcEGH9xtreVJW/vnifPmR6e4fj3+q629GpP/Fs6zU/aLz4p87VtzX85YWOzi7jp6sqAz8SvDvJHYP3fLKGYbROvzzwcK6b7g9oScUMBweoNghAg4JePNN/u1k7+rB3765a8wTEPb6G5Hwnu1CnOD8WHgGgWFQsxgCAWX6t9HXNGTtSHmPYGjk8udxARUk1seM43/39u7ftOOSGvgsa8478c/X3Pjz0pkD1GQAwRTMMk7fjdSHSBpZWs/Lu2MCjaRohZDvBt5jCplvEgDG4eERgZShHticSzp9lDsU8oG2K9WOleXvUeoVwdPTCLOxVUkZgyPP47mCEMKJ8ZVnlFAyIdxPXScRQ+awsc6gGjX6sYZz6kKilN11gNRAXDsJYMAzDj4f93V8CgUAgEAiE/QCZfj8gSZ94MJ7WrJFVt/18dltXT3nx/smM9zmjtrbWdd2mpibDMDDGNE1nZ2eXlJTsr/5gjMt3PJZ5/T5xZmeXAQCm6X3lG28CwKVXLrPtUT+wHRdz7gAO0noSUFU1FArB7nXKnueNaU2eHj/QNabHYYxtKY/V+gEAAzzYNA8gUSy4+sIwBdsCW6O3/RbPWfq5D15LExJbPLi8eHB5Z86pEWl6vPrsX2GWZcdMQkhRVCoTcP/CxiYhJjAbQe/G93qORWfHI0nSlKS49NNsZj6Bl7BvKBQa06tkAiTHZUuS9M93GgMrF+SwhQV5U96HNKx+P9jr6Sd3zf3V/Vt6+0YGxtp1fb3zDyno/iSh2vYTbpjT8QwAiJFdQ3RFrNwWgv8YRYf6uMKyNP1pgNOmQ0AQtAj93dRpYVyPAaa//zAAFLavLmh/f8OJd9o5xb7gDABRKdca6BR5PhKJ5GE8LOa6FO1RDGCMdHXFmpZHuw768SldFWJj4NF1V25ry6/a9rdSqbHpiDOqhPr4rQbkxr/FGN/0u3f7tBHdk0ZA0UxljruqCR/OypRn00nZ9lxGBIDs5ndymt8BAEsKx+6IEZOWIBUVA4SYdBJqn1Vcy70cezvd+3Q9LExTP5BhPjv+rR8rbbKjpmN75YJR+yBqK52HsEd5rpcQKJ30TOYcM4tyB5HgjOkZjZBJCwXR7h45eBQN89nDo0tKsCYjl3adejrg9mm1qPQJPT3Pm/KpVsLniZtvvvmb3/xm5vXJcCIQCAQCgfAFhAjQU8y+iTJO9kgNpEMuhrglrptsAXV1lxURDXoKoGl62rRpY9fbJzRv+yT9j+cEfvTPUoD++JIE9VkU6L/8OqfIWmHI52Ui/MWrcizLMgwz4XUAvsdCfDQoy7INJ32noPHd3M2vDJTMfe+FAJ3lnBnB6jMARFG+u/0/OTPOmVh/DhQQQgNsVa7dlKpC7tAHT75KnXtORYKUzHHcmB9xKl0YdgcGYoz92Gf/f4ZhXNfN8GHoy69+eDJCKHCvKXyuRqPRDJ2jk1FVdcL7pgIhFB/y79Paa6Y64xsvTmmesJdwveCubNsREYRRGsotK2Y9edCnCeGuNb0jYnHWwMaeoupYjDxrpArxHuOzrqyegZteTZ5Q4kCVcBcA7NCOqIG1fiECPHflD1tqzuo8+HzYHcXvcgKHEcuy0WiU0TRFEAazijeurV/VMLJa4rZlRZccWnZ2xbvx7feaJfb29oLO5dUAACBp3be9m/uD40oL+T3zwQkh9k+9siamPgPA/5wSljkqW2J2fazZsiJqXclnV3/oNRLGkcJDs7o3AgBjDDEM4y/joG2NH263kqxFMKDO8uMrUDpvmTDfGf+2XNi5wTsy89yAjGc5VKarBxD2ElrGiMIZzABaDA/WEGJHgkMlO6qlSCro0yMX5hiDQ3xWJifSQckAAClEP5MRLMtKs0KCREAT0pOXl5eXt0+nBgkEAoFAIBAOOIgFx4FHhj+EVFZ26MSgyE8sob0r4Ecv4YCmsu0vmVce5svf/7A/TYVFpxQtf2CwjN7GQHDQa3ps2/YtShiGoWlaFMXx+tUmaJ2maVqW1V97wuDM025dd2hy/bmzlBAEi1n16IQwaixyN/W2bh5XHw5E1PDxabZ++dfVf/vHrjvv+VgUR3mhep4ny+lUHr9OqhByX88FAEmSZFmmadp1ubZ2K6pRihIaM/BcURRd113X9WcsAqVwQRBSyd8TwzTNieXVjOnsU4hvdBNfghB67YPgoGOeRXMP2tfzXhwXfK22bx8++6xRocr19cOv1l4fX2KKuYI9YkwsRXbFxp4oiuG21wKbRdTY8+LbnUWB5WWwGgBKP/5rQnlFwyuHv/odcGwAQJaBrJEZXJ7nOY7TNC1P7R40Rp3mXzY6P11zTKdZCQBdeungBx0577xY0Lkmvs51Na23LqsYsPfE/CqhvKGhoY6u7ubW1o83bnpz28gjlEJAIxAZ8LNZ3nBSPsJewr2xccH3MUDdJ7/3bMtXnwEAeXZstb7m0eEtf0dSDgC01JzZXbxgMH+OIeQB4JLWtx1vHAGVNPLyzXSG0Qlkrj7DbovnidHLZdto5ETSq88+g0IO6zmMl9JnKXt00kKEPcEOfpi0dqc0vQGSh5BAIBAIBAKBQJg0JAJ6itkHv1IyEaA9RA2IwbEYG02hdKq7RNi/8EnOv2m4f9VsgO40Fe5c0sjuDqabmHOFqqqCIPiuArquK4qSoREzx3HJVg+xdgZnn35DpdPerVu2V1kqswwyLG9T/eCps4JPpwUOnoFGsqIVR162vFkTkx0PFPLLZkBH8KYfLTu2ta0TAHbuGv7W/7z78APH6/qI1KvrOkJIkqQ0ximWZdE0nSqq3bKs19/suoL+j9JRb4uhJa+eEtv0m0dOpFDKaYyEaOJU6QFpmp7a56pt2zHhe7z7+pdiqmRoWZaTNXdBED5pCL6jv3Nx9b43kzl6QeGKlQHTlus3Dlx+ae1vHt8eX3jXL+rnffuYwub3/Lfdh5xRM/B6bGu4/U1ccioNbmX9o4wdfI6CnB1YHk/ltFnQ/EbgpobIrApzrYcYtfSIWMY/AGDsqNyx9cUd9PYeBwBYGmYX86fWMn5eWYzx2QdJFdnwytY9w3VLt/u9N0tOqCq9rPOBwIte1/Cig5f+77JpvzrNkOnIFvWIn7+ypVihZs0t94ACyJ5fEVnb4gCAh+Ha4/NjtxjH0K0Lb3BbPlkVKb2q+35VKe+sPHnmpicaT73HsqycnW/GDoEAqlfc2bbwBpPPcRxHLTmi/L3/N5B/UEVDognJoF2QEOacntnMR+/AGZnXnxJkKxLlQlPbpkVzISsS4YKnOTkEBVjvQXtm3fL13ja2IrnmoD6RCVcCgUAgEAgEAoGQIZ9nOWa/sA8ynmWixbQpqUVmhNo7SRD054dUsqAXtNjYYHJffCWd+nz/3TU8GlFJHOAnLPwZhuF5nud5FEVlflNYljVGch5slBagOXUhCgzX0VnKPPKQkJ11cJt4UkJHLRBKUX1MNqLBGWjfMu7TOKCgGaYlL8BppJ466t+v7lGmhoatS698yw9b9sEYpxJ/YxWSE28yDKMoyts7nQff6nOwu634aACgnFGf9X8vXRkKhRgmeKYzQxl3b0iuqqqyLDuBll3XTQghnzA0Tdu2nXyLNXaZthN83x23YPaUHHpcHHJoZWD5f51fsbV+KPkSLvltjv/Co5iqwWXxm3L61kzfdO+0Tb9IpT4DAJPBggmEUJN1SHK56fHla54FgK2HX9c385yBqlH5S2d9/FD74MiQs11o6LP9uQ3XdS3LMk1zXk321+clppo0nJTuERR2v36Qpztw01tzrn9z4U9Xsq4HbcNeR327bySSVV1WICMAuHBuVljZ80CORCKAPa7q0IYh6pHwjZLWyZpDtBmJRCIz37mrqP29UUfxnIrV99WuvIvn+ezmVTsOviI0sB2SsN3xLTTJ43oEJyMvrykkyoXy9BSR1+mSBI4B5yRqxwXRbr/NHi6nB/Y8uzCi2rIC1GcAGGDHUMaJCwchE1zX7ejoWLdu3euvv/7CCy+sWrUqfquu65qmpf+DSyAQCAQCgfB5hQjQBx5jpi7plAuT0/vEs3Mql7MT9jOpVDwKAsqfazo6TVPlZdJxxWtjb2kwJ/+TW5KkVPnrAtF1XZIkSUqUgSBOiIyP1RUEIRKJdOnZW8UlA3SNX4gBoihMo1FXIGt41ed+GXXhjGOGmPL4Egxwy68SPYs9D77yjTfjNeiE2HCKonieD4VCoVBIlmVJkuIvHUJIluU/vT98619b3qmP9EacUGXWDjUbAJCXOOoefPiTwEcWTdPjGhjpyVBKFgRBURQ/mRvGeLzmMDFkWU6lqmeOKIrJMoQgCA/8vTGw/tdPK9wvuTSLCnMCy5/5c0N1lfLznxyRUK7r7uPydm+xUQAAIABJREFU1QDQNf9cCo/PC95iUk5XJJBdFpBDr2sXi8ADgDkfPWhadnvpsbtOubvh5DsbTrmrfe7lFPZuqdsZq3x8newboLuu60+SqapaVZBo+3Aevz5NN+Z1vwIAhg3DcWN5c5fjtXYCYIzQ4fPK55Yys0uEBOtwXddVVf3aPGn+tBxTKvSqFzTOvOjQD3+W6kAIu8XvP7Rz1pLpm55kvAD1ytESn9WDVn6angNArb0ngyLCXoJ5915imMsKPhBC6b+3xJiBhxJKLCZx2nIkOaHfZvpmMZZsTTKGdcRu29mQSQcIhFT09vYuWbJkwYIFCxcuPOOMMy644II77rgjvsK99967YMGCO++883P/bYRAIBAIBAIhGWLBMcXsg++U6W0EbIq16bQxpABRRty4q/mQmor9ImcQJoNpWp9+2ly/rRsADjm4dObMssyFMA+ok46kTzoyOJ4RABQ0KjYNTUXw6XhbcF3XD5qOz0fHMExgHjyGYWIOBrqud4oLJaOfx0MNaOE0tCahsoIGoo6TSXzlAQ0z95roxw/I7oif6QbzyLb2YMvvpTe8/ciDJ/i6GMuyvhjK8zzDCw7D2ayos5yfxZRxrJ7Gjqqwous6wwkvrBv4qHFUmxva7IZX2y6eC5hK1Jq31A8kPxV5no//7CYDTdM8z7uum6pB32DEH4ex/JYsyzqOEzOKyRxZlmMtTKC3kiTF5Pj41J0xugYdyw7WARcdvX+ynnIpzA2yQtxdP96oGwETXb9/uvn425fMiTPfyJDuktOLMqspSlKLc1gFsyFW0mOWlTa/GHvLcZxvuOy/jXBFzrG3VL77i5Mqlq5ooQHg5U2RQ0oT4/o1TVs0S3mrXvUzL/I0FLetSqiDAaHdmRJZOzgj5cpd5ll8l1FQzFPoS3PzA78YiJIcMT2sDaj5s9zuXXWbnw5syqW4gfCcaFaNpLbVbXk2uQ8jJRENwqN2zOHGcHku4ps9qMGAOI4tLSrEGO9sbW91OQsxXtKNPFUkp6YYL9tQoklLJAO36GSQ5+WagwOMMkyL/nqhbUxereummuP3F/RM4ECELwirV6++8MILOzo6AIDn+ZKSktbW1oQ6J5xwwj333FNVVYUxJt/ACQQCgUAgfNEgAvRUss8iGnieTxU82CkXAQCFPS9tIqB2Nmeooeu4miLyDfhAwXXdJ55878mntsWVbQGAq66YcW3wkuJELFqpoT/eK51LzbhuCj9pYTQalWU53p0glbZIUVS8A4mu682hL4nap9Nwovrso0WHs3LGiAo80GEYBs+/qW3Lm2XDyz2gvn9/SpF3YND6yjfe/NHt8+tqFRiRnkVVyUsWkR2MH1vWBQCHVYobmgNSdQ1oHsNSmGaS9+3vN2maBbAoipJl2Xc8oGkaIcQwTCoDmXhM00xjuyyKoi8y2rYtimL8LIUsy57nYYyTB48f8epnUFRVleM4x3F8cTnNiI1v3/eK8Twvcz/oQMfneHie/9VTO1JtDecH2/rvbVItgxgcsgCgdpqSENvr89u36PuOp/x45AzBgPLmnJR5/fzq48zmep4yAMDDSF6zPH5r5aqfNR5zS/xqCQ0J0YLZ3+h+JFJyw7oOAICXN0VOqxvlMI4xXlgjv7F15IxOrnRQ+6jx4NA8Aky7I/MWrDmcqnuvbDFur9Zc1wVgAuc5aAoxrl7T/npu/5aC5M0AABDJqmZcPdy9Pty9HgDUULkSafUoZrh8YahtLe3u+RrARvsS1rQ5Hs1QKQcnxmDnn1ul7PGdQAjVVZTVAWCMVzV0RdmAZSifURBFeW6yaF4Sae8IBdiRyVaUca0+Lrubz03YtL6pc960suRdAMBxnMmveyB8Xunp6Tn++ONd1y0qKnr66aePO+64/v7+8vLyhGqzZs0qKipqa2sjEdAEAoFAIBC+gJBojr0Oxti27al1DywpKQksb5dL/NWm6dVnnygrfdKYGJ1B+GxiGOYlX/3LaPV5hMef3PZJ6LxMGnGo8QkK/cysTPTB9ATOcEiSlBBAyrKsJEk8z/sKoKqqsrwnqC2NiXBC+5Zl6dJBw0xNYP1I334b8K7r9nZ3dLQ1drS1TP6qpgchFJ6zSD3ijnX49N7eMWwu7rxn7VXXvrN9x5CRXxbJKkhWkAEAaSN63IbmlPY9s2dnW6EwDooQvPyqZQgJuk4999cd9z/4ydcvX/7t76yqa3pwDL/v3fjKcuAmQRBikq7neaZp+iYbvs+Gbdu6rhtGOqNbVVUlSfJjGyORSPyoS4DjON/WPLajP/zinUziURTFH7cMw8iyrChKevUZIdTQaWlBAcUAcP6x+ftrstBxgv94zZqZVVwk/PC2RAsOn95eq2P6ZeM6UFvdZeOKK6dpWi/+uotpANjZPY2zRmnBjKWWbfhjvHe5ZVndh3zl/7N33mFSFOkff6vzxJ3NOS/sLhklKihZ4PTMinrGU09P74ynngooht+ZTj1zRDGBGO5QQVQQJCk5LXkTm+Ps7uRO9fujl9lhpifs7iws2J+Hh2enu7q7pqe6uvtbb31fBHC79fWCeBIA3IIU+ojTeP/wZ0rydKSPlejOBukXhnxc9RCIoqgMkmGMlWap1+sNBoPSHmrbhKW73A6D+t0cAKxxRcaOSp2jM2cDBjDalB4MWQfM8lWfASChdot8vFs1RUgyDvokUMdeaDCqux4jhM7KTqTkvu2moguJVS4cP/XZ4rIa3B1YFNspfQtrUbXmaOjmXVJDQ+G5556TJOnyyy/ft2/ftGnTOI5TfW6Ji4uLjY1taGjQBGgNDQ0NDQ2N3yFaNEcfcvToUb9J1jqdLi8vCtOoDQaDr0GBgoviJPK4H9SEeQqwFQVVeWqpmGJB6LERqsaJQZblS65Y0tYWNJXfXx45uvGh8PuRSA7AX1OQMOnnlezFLJa36Eb0MluOqtjK8zzDMIr+qCQetNvtfrkKIxmzkSTJL6pUOVw9M8Ysqrh55vIrHMKgE9zgMcbNR9aki5v1Xq2qA6yQxQy4ok/j6WiGGTpu4ovPJ91z/4bQJT0e6Zf11VeMDprgrq09vFfGuEnpZcRleTu+CFwlivjm29b4LrlnqrzmgR1575QT5ny32x02TWWwd3WMse8qWZZDy82qHBck63R6Y6IlSVKcPViWFQQh8MdS9Gi73a5s4l2uyOV2u12n0+l0OmVAJWw1DAbDi2/tDbb2mj8M6+73ihYEEVT4ZhjC41HvHzo6+MSBY9wV/+MEdQcYP1rNQ5OLxnW3bjqd3p1+a8Pmb3MPLVFZay1LKV9ZlzPDO2HI4XRVTJqfs+bxhxyvPGy8s7JVYFnWr4vzCv1GBuKa9/iuwgAIwFowQ9THJx74b+i6PXBeksthJwhClmXlfu3tDDmOi6v9dbO7qKZD3p40MANWq+7BFlsQ23qgq2IAMkERsijoE5Dof9oRYJdkNFDHPXIQSKUXbfakNAkFeYXqcb4KJElOSo/ZeLTJqRYHbeLtZ6TFKuK+LMuyjJ1u16+tkur4UwhiXa1WXXTi+o0eu1UfZlc2Su8hmdBlZER0dNjM5jAJCTU0/NiwYYPFYnn66afj4kK1Q5ZlGYZpa2s7YRXT0NDQ0NDQ0Og/aBHQfYIsyyUlJYEWny6Xq6SkJCqBD+npx709YoBmvf8sXhtiQqjPCvvKq3pfGY0+5aOPN4RQnwGA5+XVcEnY/UhIRXgNpj5DlJIQulyuwKhSJSRQcWiladrj8fhdFAgh30O73W6GURcO/Gqo0+k8Hk+wng0B4MMLe/I1eorL5WT2P5ch/uYXKRkLRw2Hn7e2NPbp0RFCY8cUffbxzLAlKTLUveC3A/5ZvwLZXs1X2HRuUzAvgS6evzeDeP759MXvWXfUp9ctiWQ8QPHKUP72RpIajcaojyXIsqwcSxAEgiCMRqMkSQ6Hg+d5p9Pp8XhUxwyUgH2j0ajkbJRlWXHqcLlcgiBEYnVtMBhu/3dQ9XnWmDiD4aQFZpJB2kZqig4A3n3/sOpau0NECBEznsIQPnC70TLKdM4dPaseRdNpZd8HW2uu+rVw3QKTsbMLkmW5w+kum/IEwvJT0usWPfHxb1a/vkXVU0W5epVvgjsaY8tXH7/Gn/MGGd1OBxzroDDGXvtgZf6Hg0uaU/0yAKyr9e/ZMIBbF39gxO2Zpd/5raqcNB8AWHtd5rp/BR7Uag+jwGKAPe1jLWv/O2Dj89bvXw39KEJR5Dl5KSNYNy0JgPGxf3K+0HJ2fpqSyRMhRJIkTVMxJtN52ZZUV7NPSRzDd2SJ1hCHiJb6DABMwNhqIGHVZ4XadhVzdg2N0Ozbt89iseTk5IQuRhAEQiiKCXg1NDQ0NDQ0NE4hNAE6mijxTR6PZ//+/SGK7du3r/cadExMjMVi8X5sMESYusmfOl1C+EIaJw+32/PWuyrOG348sKD0v67L5eBXtIgYU3w3Wh0GqKBn+AaH9oxg7r3eS0BR9/zWUhTlG8qqXFmq2p9vwihvgrgQHhcm1BqYzLCPkCTRUPGWahCiQkrj+25Xb89wWLKz0ld8czlJhtIBQ69ttYcXd0qbxRdePeIwJoUuNvfufOneB4AgsMvd/NgzHN8UYV4vl8ul0+lIknQ6nXa7Xfm/L8xMlJapWCf5WUKHSBvlcDjsdrvNZnM4HF5xASFEEETY3p5hmBeWqATse7nhwpMW/gzB097+vLZh9KiEokJ1U3WXSwIAhJDwh9edbNDbk0QwRwr/Fjvh5t7UEMlhbLhz1izwdXGx2+2lkx5zxQ14Un5blsQm53G/qSzLSsy3WwQAkBHpMqRUTH1SWStQ+vytr1CeDpHSAajozzSJhqZxo7J0vr87QRDeblDpVJNqNgDAvEFHZ2TxR3NmYUTIBF0x4FKXLgEBcK6Wop1vBPp74JrOiGxSVgk8F9o6ezYZqxjpiDJVuxcV//ay8jGhbrP1x7fCNs6UpKSpOfEzs2KO/bMMyFM3OAKA4QPzlGLnZZpnZsWMz88YlJttFHvYxRFYJnCkI6DhSwYUGMirj//VCkEnpmi2CRrBcDgcyniM78LA+4WSliBC+ykNDQ0NDQ0NjdMMTYCOMhjjI0eCZpHy0tTU1PtjpaenJycnA4CHZIXIQntU6cGkdY0TxvsfbIqw5JPPHbrpy4kdtErOJZ4wNA65h0Hd+KEFZHSDuffv23q9XrWBud1uX3tWP2ia9js0z/Oq4a6+xbwve6IouoigsXUdtXuCrYourkNLaQgT6IQrlp4AUSMmxvzfL0LFyFNUcAEay+XNYSwyFN5/d3rMBTcFW3vNVQN+XHHV4IJ4AABZrpp9hbL3SPYMAJIkiaJI07RvzLvf235fI8tyt4QDg8EQdggHIVRax5fWBi12wfgEbwDvSYEgiLQ0dQ/uSeckC4K6BUespfOWhBCipz9ePfReu+64fFwiwdXkXSvNejl7wOBe11GlFWFArfkzGobMAQAkizEt+31HsJxOZ8PQOaTk+QfxuZ7Gvg1JluVkM/XIzERRBg9rwSTTMuRy/f4VylpKdCkHqzrnYQCQqa72MCKDe3RW0n1TYqcVkH5h7zqdzncczul0tuWcCwA5pf+bXv5mVsUKjAGwnHP4S51LJcmn9xvRXKiWkH5kudKXCKADAEHueioQZdKzviS59ri7SWLNxrp96vlae4mv7nZWdhIlRdSB+GIQnFPSjDOyLCNYdwFyBMrHvtASP6xwAApZJsHlbwXTwZhVSzoJJvLMohoaCsnJyaIohg1tdjgcLpcrMzNTSwCuoaGhoaGh8TtEE6CjTFlZWSTFmpqaoqI6JSQkDBo0yE2rqwMRUlPf0PuaaPQRX35dEXnhvSVtU+Ym7mBm+C6stUyUJz0Vm5AS+X4OMpdWsH+ISqRwiMRuiruu6irVq0MRiRBCirWuyWRiWdbpdCovchRFecU+URTb6cJgVcrkf+7Yv7S5obZPlV9bR1s8VIYtZoG69ta+NeJQiI+3fPLhrGDvvKEioD1hxi10NDpviPGZawbk5mSYzabrrsn3K3Dpxdm/rL7hvntmxMXFrtzStu2WBUCSAEAPLjzKjYv8VxBOlGF9CGnA4XAEc4MJJJKvRrP6/3xZEbwmcONFIyI8XN8x4Sz1EOYHH9n+w6pa1VXJycfdlZKzB7JTH3XM+E/zWU82jH2sdcLTePZLSYPOjooKgwmVVoEAm6s3OROLj559PwAk7l3i98M5HI6qs/+hd9QN2/a8BJS3afE8f+M4y7sbWkdnUo3pZ5OiK+O3VyjB7t2tUuOMX5526RNdui7PmQuGxdjtdrfbHWgo5Pc1JUmymbJksmsEjgCZUEuj5/eNTK3+s2EwQPmUBe6YTAAgZFEGEgBYZAcAmugaG6iqSWTdKm4YmZvDGHEEgjEuL69e9PGmDxdtPHjwaNhZCARBTM3uhtUGwvJZFjQxL0UZMEhJSirISD0nkQ0W48xI/IQ0c3lNPSvysa7WYDJ04JeshyAjoAi1toU3HdLQ8GXw4MEtLS179oQZ3t6xY0dlZWVBQYEmQGtoaGhoaGj8DtGSEEYTURQjjyZ2uVx6fRRsPRFC43JT1x5t8ZBhQvMQYFU7Tp7vdnSSxolBFEVlJnu3uOXRholnT73rSpZLyDMl5SQck11qYEQ67Ay7uQvMLjcvy9GJi1fesgJzZgKAkr1NNWLI7XazLOu3yuFwKIK1IAiK6qG4ACuZ4hT3Xm9hG5VLyq5EQeX7IsCJUAqtpXIr0QEpkHO57/T8aMHXrI+wJNO4EuKvi3oFAsnNTfth+VVXX/dVU5P/OaeooIORmA8V0nXblKQJIwt8XRpuufmc1Wvqqmuc+XnGyy7Jnz1rhMlkBAC32z3r/EXtHQIA7J38zxt3viHsPXDkygXZa77x+jsLguBV6yiK8rYZQRCUxuDr1sIwTB+5qQTmFfSCMaZpupeZORUIghAxc/crJSHKPHR1Hsed/MnaBflxABWByx+4b/B7C0tbQOVsxMWqyPQMwzBx0Td9qh58Vc6u9wKXUx5b7s/zPcZUjIjyyY8n7/uqsfji43oJiSyf/BgAJLZVNDGper1eGcRyOp03jov514+tGfnpmQAYIL5pl9/OSclDO13lQy6EY+NHwcJmjUZjYEIIWZZtSYOr0s4Zsu3FyL9pG5ds8fmIgaiYNFfGQLk6c5o1u1OTddV+W9nFmMz9QVMmWle+HjczIgPu5ubWt97ZuvLHalHsvDDfenc/ANz65+LrrxsfQlDrltZmFp1mk/88Hr1ONy2DLamsqSVNGB3rbTDOkNoHZWf8erSpgzQADW6aQ1i2uK0uSuehjtOXrXQ38gqWtHkmqVnLhDDh0fidM27cuJUrV955550rV66MiYnxPvl4C2CMm5qarr76arfbPXbsWK0haWhoaGhoaPwO0QToaNLS0hJ54aqqqsLCoEGa3YIgiCSHTxAlQiIiW7lY3xewROxKBM8+ZAncXNaeg/srPbZgXreh+ZY/T03LyPFdaMmfIpfuIsKZHtRw54Gz5+ozTdMURSlaDMuyGGMlAVegOqPX61U1PgDAGFMU5StAK+nglJg47/JgmwOAy+UCrjhB2BmicRMgW6AWl78sIaaaHJNccFaEfsRhwRinQihh0ZdYqD1hCYkMBv3XS6/+bvm2/3t2t+9ykvA/T8hlJ2xWvY6ra1RPI3bzxJhJYwYHnjGSJF7695S01BRf5bStrX3W+Z96eNlopO12Yd+BDnJgvtzcAgCSJCntnKZpJTvlsaoavFqhEvZOkqRvkyBJMipCcCAY4xBz8KPSSDiO237YsXBFqBkzxVm6iWOKe3+s3jNmdBbA9sDljz2x+7WXR99xl4qNQ1xc9Ad1gpE0eByoCdAKrL0OAHLWPkFIvK75YNXEB22Ozn5VkiS7040xhriCoavm/lJ8d2ZqnNKrKF1NvYcDUM+iiLB8dMKDOtY0o9h+oM7jkXCw4ZBgIcaMq2XwthetCUNim4Pmn/SlvOjKnANLfJdUj78bEJGz7mlS7OyxLRu/8WCMsIQR0ZQ1ATLT0rlSccu+ELtNrPtN/mCr25hSN+Sa9PxC1UkGm7eUPDx3i9OpflG8/d7+hR8eWLr4wqSk+P37jzwyf7PV6gEMRhP9xPxRw4cXdsurvZ0yqOq8BEEMzc0cgrEkyZIskQRBkiRCMb+W1nYwRm8xjIg2LhYAKFmweNpISXKTbBtt4gPC5LOddbI+pgpU4gDslP778pZs0Vo8oCDymmv8nvnb3/727rvvbt68eezYsffff/+VV17pu9ZqtX7wwQcvv/xyTU1Nbm7u3XffrQnQGhoaGhoaGr9DNAE6mjQ2dmMqfRRNBsvLj09ghTGFxSRnUwdjauc6FecmpGsCdUWADtCeNPoJHr7nOdbuuX/9sq+zfV9yKIqqj7tOavzNJdIAGDAgBIAVfQUDxggBBgJ0pK/NbnfhOM4b7qfogwzDKF4Z3jIIIdWoQF8Uk2i32200GmVZDqE1qyKKos1ur9VNSPeEiURGCCjgc6T1cHB9XeJNcQlh0uhFdHSB5yJ2N4YTG1hHEMQF54+ePeuMB/753aZfO83oCR8LDsS7M1mISYmDlDgAyMlIH38mHCotX7Kp+WgLX5DEXDgqvrAgN0SFP/109zfLl6/45uq4uBiM8fcrNz8yb6uy6tF/nvnQI78CgLi7BACS33jB2zACdTqdTocxVjwNAtW9vjtjwcKfAYAgiLAun5Hsf/77hxrbQqnnBAEv3DellweKFnp9UDVZVX0GgMKB3XBd6CUsy2JAgSn7fKmcNC9t8+uEu42t2upMHOq9/yqtzm63V0x9IgugraZMsmTF6UmEUH4s3Nz0ilJMRiSBJewjRiMAntITGA9JQiPTTTRNO51OjLESzo8xdjgcRqMRIaQ6L4rn+aph1+vbK+JKf/IuxIBkiiNFFSHbmjNZTC7mq1JYR723GqLOAoioPOcRU+32xANfAwApHWucWEqp+BkqQAIwBu7ueAgs6W01+ZuehU0AAIdH3p4zbKySP3PlD9sXPBV+3owg4osu+69OR/pO2fG0eP769w0AG/54fsaIq8aH3UknCPG8wLLqRjcIIYoiKej07G5sbmlj1L+fSNA8ybayQQOfK/WpqaIt2FOwSFClTGJpZdswypmVrpJZQUPDl/j4+LVr106ePPnQoUO33nrrrbfemp2dLUnSjh07ioqKDh48qBRLTU395ptvYmJiTm5tNTQ0NDQ0NDROCpoAHU265aWoRIb2XkPBGAeLkzXzNhtjkokwebrSU9T9PTVOOnpdz2fft7R6tm0/MurMAb4L4xOTb3jIc+iweg7M/DzzfXcPN4tiCAEuEnQ6na9cKMuyN2gUIcRxHEIotPoMAJIkybKspHHrmSCOEJJR98IwU5ver8U3xif29oroboWjZcgTOSRJvvDsH1tarIuX7N68tcFsohHvIUVPEkvEJ6pIhwPzc+fm50ayZ4zxd99XC4I8bebHt9488MOPjng8XWdDUZ8L8oz4FwcAsEUDwONRTpdfmLwkSYoTS7ADRStc3Y/QjV+v1/vll+suBoPhgTcP2JxhxpY+nHt2b44SXXrglp6fH9sXNQlG1cQHs9b9K0QBjHH1qNty1z6RduQbV+Zovx9RuY3q9XpLWo6u6WAbkcXqDFePT5bXMIqkq6jPmKBaE4bGN+4AAN6QLMuy0+lU+ihBEEiSJAhCWQgAOp3O4XAEO3UEQfA8LxoyjAkFensNAHj0SfWjbnWI2EDKppqtrK1a33QAkzQh8Y7EwS05k0iCYB31vjuRMRAIXC6XkfKXa3nGxPBh+thgDNjxhrzrneqxd936wG5ryGESP4IZRi37tnrCJTZ7gBbMCS7VDBaSHNHwPMZ4jx0g+AMOK3iACuW8YaeCJsI9BtotGviq2oJMTYPWCENeXt6WLVtuuumm5cuXA0BlZSUAtLa2trZ2JsCcMGHCkiVLUlNTT2YtNTQ0NDQ0NDROHpoAfcrT3NwcYm26vbbKnBl6D8FyxGmcdHopSs59bNPyZcflunE6XYcOd6gW/uyjaW63WxQFl0tQDi3LcuSe5j6HcNI0TdO0IHR6i4uiqJjqAoASD+hdFRolirC7FfCi1+sznMvU588HJ7V5YR1cF5/YK7lBFLvnq36yZuPGx8fe8ddzffxfu2GTGozmisqbzre88WUrALz9rn/ONIUB2RwwNJWfK/kYTMuy7KvWKW3P4/EogfCBO+mLHJJGozFEk1Ncp3tzXJ1O969PysKqzw9enRcfp2KXdLIIccE+/ODgp59RcZtpauqhfVDPSMsvth4YGtsUNAMYW/GrJ2ccb0zmOqopQeUnVka8CIJwJRUzGGNJkIFw6+IN9mNZFhFByKJwLN62sugKpVk6HA69Xi8IgiAIBEF4x4NDG5SzLKu31/IxGUpiBozI6rF3SpIkiu52EdoTziCSRnGDOUmSSJIUBAGJYs7ejzorAgAAHlO6MmajZ6mkTUv8FOceq88KhCzqj6yytkUtTvOlR9fe/Nz5fguD5U+OsD90ud0CGSorKRFOyDaDYIPweU0PyIb49vZYLWpVIyQIoeTk5GXLlm3btm358uW1tbXNzc2SJMXGxqakpMyYMWPChAmR57DV0NDQ0NDQ0Dj90ATokwnGuLq2rsKDMEESWM5icWZqSnelqKYm9WhWL8n2ugZj0ICLYCnjNfoDCCGGIXg+6G+UkaGvrXUBYNWI2/Z2oa2tIza267V52Te7Vcodw9epU4kHZBiG53lfN97QkCRJURTP84EhwL0Jqe4Ber2eIAgrmRcnh7LZDQQBpDUvEpsZOyRIiCUwL5JmD5dvTMjTRTweQNHde8kkyTDTFE4VMMYHL7sux9r+4rRzn24a3dTSFT45fWrGr5sbbDYBAP58RmO6OQ8AKlnOFTIWvpfB+D0ghL7MMExvKkPT9KIfao82hkmcOLbYdM6Yoh4fpS/gg3gB/effo9rb1bXpisq2vqyRPwikHsiwAAAgAElEQVQh46x7nV/P1dv8U/AppJd91863cB3VAGBo2NMeOzSwjMPh4DiOpmlJ8GRtfq288PIu9RkAYdluykipXqd8NLWXueKGKH97RefIpz4YHPVp2972fqwZdSvGmCYRZTR6U7YihGRZ5nmepmm9o45rq/DdA2urkSWJIAgMROn4+/M3PQ/Q6ULi1iezrmYC98rmy9RRATC8N3vwpbbWFetsserVUvsFEOFTUGl1HXChclq6wgU414AeAMy8vSOIj4eXra38NDPui0EvjdMMkiTHjBkzZsyYk10RDQ0NDQ0NDY1+hyZARxNl+m3k5X+s7sDI6I2/2SfB/qr2QYQjMyM98p2EfSNiZJERPTylPpM9S2wH6Eehdhp+6DhSVYB+fN7odetrf1pdE3rzNWsPX3zRKO/H9z44EPmhnU4nQoimacXM1OVyRWJcrgQSRn6UvkBRnwGgmRtrl/KyPD+F3cQPCngL1HbKOVINOPaDAxxgEbKv1enDzxhQMphFzmkTFVW2eQu2tgMA/9Pa++mN9mdffOKFziDoSy7OK9lntdmE5CQ27cgy7yYmkymYHwtJkiEE36g3M5IkQ4T8EwTRgwkBvjS2483720OXSU9gHr1lQn/LT8Uw6u356Wf2+vqr+OJ2Ry3JQYQQJElc+Bj/+b0Mrz7JI6b6V7cusabgD4lV62MSBzuA8UuOhxASRdHtduv1ekqws4lZivWztwDrtsIxP+ik0hXOrHE9G5AgSdJy5LhOSTCnx1Ztij/0HT4+56HIGGWSpV2tgQ7Xlfl/JLGIgc5ZPa8j8+zW/OnmyvX7R9wx8OCnvClN52zoQcV8YT1tZ46M27ajtZf78fL0wxtuf+mPER06sv6wjQzjsGSnwlow4Xh3WwsX3i7GQzAtbe0JsZbTZrBQQ0NDQ0NDQ0ND4wTTJx6av1u65UkqESRG/uUxIkqwaW15Q3S1lSSnenZEQpaKcrOieCCNqFNUqD7td+CAmD/fWPzZR9NYNtT7cEVll+DV0mJ1ONQjGV96/mxVJQVjrMy+dzqdHMcZDAaaDjVhWZblEKa9JwaKogiCQAhJkoQQ8lBJh/RXHdbP6f2eDdAWU/lK5YFfw5YkScoGEcX6AYAHd8+ouj9Td/t9XR8EwXjPnf9OXa+oqbff+UttnQMAnv2r2Sux8Twfwg2cJEnFuSUQJdA+WtVWCD2CqISjdmuHvjqy0Wh8+uMjocunxjFvPTKVJPvdfTnYAEl9g/us8Ymqq8aOOQmeuTTNEFe/IgaRHTEA47GixHxz25Hsjc9xnH94LMZYFEWKokiCkBEFAJWTHztu/4IDABRJmujF5CGEEO22+h3aVLMZABCANWFIVe7s5qSRAEDxdsbVoppfUcw8k3K3ASAEEFO1wVKxti1vanrzttoxf20tvqhy4j8BQCZoget5NsirZ0bTnqupyaOvV49P9yVGsEU4AOOgwkxJ4Ymw9hooEvVZYV/LCXWV0TjVwT6c7LpoaGhoaGhoaPQL+t2L7ilNWlo3XrnrDEFtMVyU7qeq9gh9ciMBAcS7WgKXjzTKJz1YVSM0F5yfo7p8zdoahNDhI9YP35sCAAMHqOvUotj15rN1W1Wwo6SkhHmTl2UZIeRwOEIL0BhjnudPboyYTqcTBEGSJKfTabPZbDab3W7HgJxEYgl9WRn7BxF6LpEjgIF4Ddr/H97j8V0uimJjzeHK/RuP7t/UUFlStf8XEkcqj9YbZ/S4Pv0N3OYffCps2f5M+8IxI7tUnvzdSwCgefSVRy98wnP8afSD53m73a5qUt8XbSysAN3jPRsMhtv/vTd0mb9dnPne/OkRjmLyvLDsm81nnfOe8u+yOZ9+9fWvdnuvsiOGgOPUBej8POOKleqTMJKSTk5qAYRQ1fh71FcB8KY0ytaZxy9z4wuBGjQAyLKctOczW9wAwHLu6rmhjtVTXUmWZV7XNUCFEYEQ4g2duU9lS6YR3AZXY82ov5RPeSLYThi+QzAmA0Il4x4CAELiEw59a6n8BURP0q6PMzc821R8yaGzHjow/NayKU/Yk4cJx44oUVxr3lQpfP49GCJs79kXDMZD920q+25baOOvwtiIW47aJanHAofFEAVUGYbCTE0AgA7acNpMVdHoOzDG9fX1L7744qxZs4YOHTp06NDp06c/++yzNTU1mhKtoaGhoaGh8TtHE6CjSeTZ/Jp0CTjkq5FMkOtr2qL4tKoXnBCwt21O+sdax69lNV4LS43+Rnqael44miEFQSgpsT73750EgeY9Mkq1mCR1veofParuynrH7YMjGe1QBDiXy6Wq2ngRBOEkBkErk+gpivK7dggsVtKTeZ5vd5OHmD/uZy5zoFDmoaFhwGkofam1sVPQbzi4xnD4+cyOLwfCLwNgbZbzmwLYqEcRJQGTMZGUPrDHNelXBMu6hjtsl37z+A0XJQKA2USRkgAAsbu+deMe3oBomlYi3HtcVVUU4xSSJHXH4DhO+Z/jOIZhujXHBY5dMgzDfLQyVOAnTaFX7x0xa9KwCHe7Y0fppGmL/vVcV8K92lrX8y+WzJi9+Kn/Wxn10wLBLWVKy+zBFHtLTBQSWvaMrIIiOWB2kQLXftRSu7VywoMAQLvbWDWzDlmW6wZfKSYVJm17X+lExCCRtoba7cEi9ENAEISRpVhbnXdJzZi/iqLYOORKmaAwIjuyz7bmTi4feoPHnBFCQk0oWWqo35Ww93PdsQ7Zw8YiLAPFNg7/U9k58+rNA3mexxjb7fbynNllo+4QuNjaM25GkmBLG115ziNCuOBfS8u+xISgnfnoUT2Jrf7407L/3LlMzzsZ0UPKot9jiV50xsVG7Amm9oDkRLQbKc21cy0DMhPODrsRs6AWZq6hETmyLK9ateqSSy5JS0u79957V65cWVJSUlJSsmrVqgcffDAjI2P27NkrVqzoiy5aQ0NDQ0NDQ+OUQPOAjibKxP/QqjEGqDOmSUT48D0PyR4oqyzOzwldLOwRfYuqLm6jTb80CwVEbUHGSZg0rRGaAQNyVJe/+vreVwHiYtmHHxq5Y2fTn25YpVrMt2nwgrr/xhkjEiMxt1XemjDGHo8ndGq47up00YKmaUUc93g8vqFqHMeJmHC5OkdZlC9byU0GgBioTea3UdBtb18C4dSWT6qFy/S2LVm4ssd1rou9NOF0MRV1OYOk10MIMC5+de5LL/xLNuthJwAAyTuUgYqwThp+/ZsSg99LO+ZgcBxHEATP837uwAoMw+j1+siH65SkdiRJbtoXNL6SodBHj59rMkY6eLl588G7718fbO13K6q371yy5JMruutCHpbkJK6hMdJzrtORJlO3ldkoUjr2ngG/vqC6ypE8RKD0GBACHHt4hav48sAW6HQ6nYa82MIkw+bX2mILLdaDgfsRKV2DeYBZcOp0umBDL6oYWSp77RPemzEGcOsSXU4nAFSPv1smWcWURq/XI8AAyBlXoG9VMW/RtR89OuwGS8Ua0/5vJYJ2GtOqc2cP3PNuwraFzWfeKEmS74WjzE1xJA+NLVtFYClzw3O1o287MPwvQ377V4iRcIlkWq3HnRySRDdel//5l5UdHcKWraHsoWfOyPz+B/U5N9Y24aEbv/N+zMo0xMcxeiPNcdTVVw4CgJqahnfe37ZvX7vNLuRkG+dcUTRxQlHgbUUvupx00Lk7Jo/NSpsAgAcCwkVC1wM3WG4tIeIAgJYFAsseUkV5P7nDqxr9GYzxmjVrZsyYoUyjCZwxgzH+/vvvV65c+cUXX1x88cX9zehfQ0NDQ0NDQ+MEoEVAR5m8vLwQazFAtTkzEvVZoZIJH2GUk5MT4d5CgdARbDx8tDYKu9KIKqHF3Far5/4Hfw1hozKgoCuaLFjYTUNjeEFNp9N5JT+MsdvtDuHFcVLerCiK4jgOY2yz2XieRwgxDENRlNFoJEky8DS63W5JkuxkZhk7q8cHzej4Iq4X6vNRbnpCan6PN+9vEESQ353q7PE89z2UpOvSswxHd0Si5vgJ0CzLRtGeyAtFUaIoCoKg2J2rluF53uVyRR70KssySZLbD1ovnZgY7N+H8ydGrj7X1TWGUJ+PlXHd98C3Ee4wciZN6sbw5Ogzez69ICrkFgUNJ0/cuxhj3J55FgCYWg6EMFWQWTMAtA+9rHzqk7ze39K9auKDcfXbstf9X7fG20xGg6/6DACYZLwRkW0C2eEWAcBgMKTs+xJJPAC05U6RSO7o2f+oG34dRoRE6fAxPZWiqJpxd0m0TqSNpo7KrNL/VY68hcBSxoYXUvcvNTPHXY8kSXJtlbq28rb44srJ8zHFJdtLZUpXN+KGw+c+VnnOI03Zk/xqW50xRZI6rz69jgQAScKfLinv6BAWzBse+pvOuaIgJZkzmcK6MMPRKseOXdYNGxpXrar9860/XXLFp5df9e0PP9ZV1zjb24Vdu63/fHTT9JmLqqrq/DY0i6EyQBr47uWHVNRnABAIWlV9BoCSAypDERoaALB27dqZM2fKslxYWPjGG2/s2bOnra3N4/F4PJ729vZ9+/a9++67I0eOxBjPmTPn+++/P9n11dDQ0NDQ0NA4CWgR0NGkprYuPS2V4zjV6Dw3yTYZkrq7z5LSysH52SEK6HQRZTBzhkvXAwClyJDqcBgjNhLRODFMn5b640/+794RMnlSl72D06UeAf39yqprr8mGkNH0JEn62uOKomg0GoPpgCfFWFwURd90djzPK9ISQsjj8ahWVRAEQRAivIKiTil7QUbu4JNy6D6CC3YmfULvJbJL74v/7RNH1sjA4kajEWPscDgAgGVZ3+6U4zhledThOC5EUL8XxdBAaTNh416NRuPGzY31jY6H7j1PdVRGFEXVUOtAamsbbr/zp6bmiGKQt2xtKS2tyc9Pj6RwhFx28aAln5dFWPifD54TxUP3AIRQRdGVOQeWBK6ieEfuxudc5kyJ1pOC03R0oyN+uGq/J9P69oyzBIJx2mx1Z9ycvf4Z37W5Pz/mPVbkFSN5u19pkTX7fiQIwqDX5ayejwDrWw7UZU9z54y3JRSLrFniYiomPw4I6Rv2Ju9dDABZG54lRTchdzah9sLzISa1dug1A9Y/RbutcnmMPXOytzcmSbKp+KLk7QstLfuN655pLrqQZy3tmeObmGSlKbsyJzozxmRveNZbmVdW6gA6G7nT1amSO50SAMxbsMtbbOG7kxHAq6/vtdk9Bw91uprccPPPkZ8WX+rrVS4rl1u68prlny46Lycnw7twYGZ6fXPQsSiZ7IlfM8I4hD1a1CcWaJw2vPvuu4IgnHXWWatWrfIbwqRpuqioqKio6Nprrz3//PN//PHHN998c+bMmVoQtIaGhoaGhsbvDS0COpp0tLcBQH5+fuBjZZMuoQfqMwBU0ZbQDhsIodTUoPkMvbjoSFQ29GuzW0uT0t/4+x3je7ZhfBwbH98VAW23qb+r/+nqgQDAMEywwE9Vww1BEIxGo16vNx7DZOp0fY1QU+tTPB6P3W632+0Y49ABsxRFVXOTa3HhQfqPLrJvIzdlIB0QV0Je4C56MCPvtFKfASC0ObiC2NA1bR8BUO0NvukEjUaj4qQvy7LSqBiG8e2RaJru0w7KYDCYTKawuoDL5QobCo0Q2rvf+taiQ//7vuaG2z8PrDbGOMIrZd++ssvmfBuh+qzw4MNro3ui4mKNs89LjSTYNz6ejYkxhy/Xx6SPnYWDPOFQgoNAqHrcXQDA2euChTA7Xa7WATMMbWVGo1FijBgRMiJxgFUwkrvR3UmsWSS5lqQR0rEY24Zh1/im4pRl2cMLHksWABASn1a+Im/1XEvDjrzVc3NXPaokRVTUZwCgeTvhc/S0bW9nr31C6mhSPlpqfo1BbrOeNZlMJr2Opmm5o1FgjMoZiC39kbdk1SaP9W7O83y7gMqmPFE+9cm2rIkYkes2hTLZUDCZ6NZWR8m+ltv/UpSS0nVFIATzHj0j6KyIHnHtjT/4+qXoOC5EPsNmpieNMHRyDrP55Ddsjf7Jpk2bLBbLwoULQ9wHGYZ577330tLStm/friUA19DQ0NDQ0PgdokVzRBMP0RlxM2jQoIqKCm+kXo0xTQ5pu8FgSQBC/c0HoSNVtQOyQsWyxcXFNTU1hdYyQlgl+iISNM/zmsthvyIuzpKSrKtv6IbNqMJfbjlO4mxrVzfbvfWva598bHRBAeuXGwchZDAYZFlWjQxV5pb6LdTr9ZIk9QcB2ktYuwZRFF1UqqxP9ng8B6SzDAZDnHsHh+wGqUZEBhHpKGyncbdPvirNkBtTfFlBVPbVLyFTkqT6xlAFYo9TcNJ/eE647Fm7vSuo2S/A+YTFiCGEKIpCCMmyHGGQtd1uVxq86oWwe1/bi2/uUz4eLLWfd+mibz6b49u1Bm6lSnV1w823dTuYtLbO5fHwHBedntzaVJN08OUF58KCc2EPNfWZ9zoOHFRJ36fw/juzo3LQXkIQRO3AC9MPfa261tC839VY0Jo7Ja58tSl/epukokHTNG1zuBxcmgGBzWavmPx4zuq5taNuc5vScEtlWulyvaMOACS5G0I/01FNSe74xp0SyQGAK67AxVjA7YbO2Ge9w+nkeb5+2LU5vzwJAChgFCF31aO+HzGAxJolWk9IPJIFymMr2v02ADiM6RSSBTZG117RyqWxLOu0202pg4WmErDXYkA14/6u2rErC20pZxkLZnw2GR59bHNpadDfGgBsNuG+BzZnpOura46zcrrgDxnFhXEfLZx88FD7gqe2vfrS2XfevYGikCj2fFxEkvALL67554MzlI8IoeE6cadbPdJZQD1/viWxJCGVZzbLSXU21+jPVFVVpaWl5ebmhi6WlpaWmJi4Z8+eyAcIm5qa1q5dW1lZWVFR0dTUJAhCWlra8OHDx4wZM3jwYFIthwTP81u2bFm/fv3OnTsxxoMGDRo/fvyECRNO1nwvDQ0NDQ0NDQ0FLQI6mtBSl6CQk5OTl5cnEHSVOTO0+qyAENZjdaWsWg4vIhQWFkZrcmhJZU1U9qMRLRBC77zZE01n2tRBvh87OoJKsY8+tkWSsG9wmcFgYBjGbrdHnnJNQZblfhVEH1bmoyjK4/E4HA5RFBWDhSppYKk8aj9z2QFixkH5rIPk7Ard+ThsHqsISIIjp3fcU8orz4QugBj/zjD7iwe9tj+BJ+eEtSVl9MVut/M8H7nLs9PpVOxo/JYTBOFVnxU6bOLsKxa3tXVqeWFTLyrIsnzbHT9EWBk/fvppV/hCEeB2OZMPvuxt/UPFVR9fv2Xdvxqeeyjl7PGJFHXcdfHwg8MTE8KnLjgxmIdPC7E2tvTH9rwpAJC58d+quozi/SLLsiTJsZQACJUOudFjThdFManuN0V9BoCY2i0WGptMpliSNxxryd7pIL4YjcaUHYsAACOClNwAgASXt4Myk2Lu6rmKnOQQ5PoC9T5f0MW1ZU9oGTBbJmiJZCumPnlk9F1lw28uG3Vn6Zh7yqY80Z4xHgAM9hqPPhkhoplJUcZICIJwOp3WYVcAwJFz54c1nFGGHuf+c/ini6YNHBATrNiFF2QAgJ/6DADLvq2+6tqfFn28v72DX/zxdISIlBTdZB8n8fS0nmhh33xX5TvAmZKYYBRUhosiTs2sjqr6DACGiHsGjd8bJpOJIIiwz+EEQRAEEfktBgAqKioWLVqkaNBOp1MQhMrKymXLls2bN+/LL79U3WTRokXPPPPMhg0bHA6H0+ncunXrK6+88sILL/SrZzMNDQ0NDQ2N3yFaBHQ0IenjInF0Ol29ITmSDXlEAoA7SKwfT0T0MxUWFtbU1LS1tQWuauW6oQg06k5y/iiNQOLjLU8/Mfbhub9Fvsnll+T6xT9OnpI6dlyiMoHcr62RJIFQlyEAx3GyLEcYoekHQRB9kSOu73C5XH4h2xhjSZK88eA8z7fyiDfOyXYvZ+X2Xh6O590cF9F0hFOR3JEjao0GbA8aQWxq8fcRRoAzv11QMftRr69FCGlMCpZJs9d47ZgFQYjESyR0lfYfVmknDqd4wdVfLH3//MTE+AjHIbZtL221RiRVB/L8iyXnnz+mZ9t6wRhTO18JXK6T2yab106+AOACaCJytrfk/rIT5+Va/jD7zF4eMYrojabWlDPj6repriVFN9taJhMUIYvm1kOCKTfY1A2McfpvrxISL5Kss2UwJplWy0Bz015lbeKRFXBkhfJ32ZQnTCYTxjh169twxp8xIuBYTLGCK6HAWL/baxwhMwaCIJRBO5E1Nwy+wtt58kyMSOkp0V/YrRtxQ7vMYIztE0bKtA4wpiiKJElJkkiStNlsaODsmOpNAGBu2Glu2Fk25QklVF+xyBdFsXzSY7wnfKNSnEkUo/yHHxxG0UxtreOReb+lpekrK7su8P99Ux1iJyt/rFv5Y93+/W033VCUlKjftbv1kosyv/pvFQBQVA8DIKqqGnNzu4Tss3NTNpbX2+jjclfEeNqbGXXRnJM8o+LZ9VbsfxeMAEot2lRDAwCGDx9+4MCB1tbW+Hj/hKW+2O12h8NRXFwcefJSvV7/hz/8Yfjw4cXFxUajkSCIjo6O5cuXL168ePHixcOGDSsqKvIWxhivXLly2bJlOp3u/vvvHzlyJAAcPnz4+eef37x58+eff37llVf25mtqaGhoaGhoaPQGLQI6msQEBj0Fe8MJDEPAWAZEqblJYkREGLaQnp5eXFyclJSEEFJiMbKzs82x8Q5Gyyt4yjPp3CHPPD02fDkAAGBZ4m93+ucBMw7JYkYVMaOLmNFF9Kiuf+YxhTOmZvmWpCgqbIK1QBQ7AtUJof2ZCA1D7HZ7OTOziTmjt4c7pdT57oIIovCbxSEKxNTtDVxIeuzxB1YZDAaDwRDi5+A4rgfNMkK8Xh9Go9E3m2UkeDwevb5rUMFgMPzr5T2qJQUB/+m2FRGGPwPAG2/tDF0gxkwHu8nwQhRi7csP79dLLaHLJMoV58X+/NTkNTPP4vpbWi3irOtDrE3b8b7ioZy859MYKejYEkUShMQDACV5zHXbY6p/zTn8lWrJlJ2Lclc9mrd6Ltd+NOfnx/JWz9U3HwQAhJDRaEQIsR11AOCdTqFrOVSw533vgIeu9YgSQUkQhMV6SCbowENkbH7VYDDodDqQhdxVjwJClOTJ/vnx/LULclc9miA2S7KsGD17QQgRHfXKUVwul83pimQgx/enFATB5XTEWmDhu1NGn5kca+lefr8ffqq67Y61Dz94hsMhfLu8c4pV5dEeZhPdvPU4yRshdHZe6hDaTYtdlxUjqo+e6kX3lJwES0xMPnTvGtfQCM3UqVPr6+v/+9//hhhcVNThI0eOnHPOOZF3lYMHD/7LX/4ybty4mJgYkiQRQjExMXPmzBk8eLAoigsXLvR9QRBFcdWqVQihhx9+ePTo0RRFURRVXFz8z3/+EwA++eSTjo5QjjoaGhoaGhoaGn2KJkBHk5zs41S8UDFugY+eCAGAGCTYOfJYVIIgEhMTBw0aVFxcXFhYaDQa9wtBHTwKJKvq8sj1EY0TycQJQ5Yvu9xkDB8R/78vLwucCmqX1TecGCdGxTdDmeUdeVzPKYfT6WwhBkBILw7vScRYvdhpfH4UErOzUha+Gmytvk09XtKy/0eEkN1uV3wPAuE4jqKovptBLEkSQRAcx3XXcwYABEHw1aAbmkJlC3znpSkRSg+iKIawWlZo7xD6dFJ1YeOHkRdOqP+u72rSM0wxlqNj/h66jIwIAEj77TWvgYYfhCeMW4UXfeth798IMAAw9gaj0ZhVt07JH0g7m7yrAAABsPZ6ZdCOdrWa67YbsIumaUEQGgv/WDPh/kDnH0Lic1fPLVj7eNb65wAgd9WjOeueJmQBYQkA0ra/l7/2cach1ZrQlQDAYDBkb3lV31hiNBppWkXUjhyX03He9KT/vDixWwMNCIHZTO0taXn3zUk8L7/w7Lje1KGxUeXnyEhJmpITf16GSfl3RvGAUToPLXeN9rGS50zOMzkvSemBi7Iz4sUOACCwRMkCK3n0osskOGL5DiIgsSEjedIc9dShw6ChEYS77rrrkksuueOOO+677z7Vm4ggCPPmzbv++uunT5/+6KOP9nKsDiF02WWXAUBbW5vvbdHhcJSXlyclJeXl5fmWz8/PHzhwIACUlJT05rgaGhoaGhoaGr1Bs+CIJpIkuVwur5tkpM+XGFMgi4i0yO42Qn3qd2+yuoVwoD5Cxqout9nt8XHR8fHEGMuyTBBEf4uMO0WxWMwrl1/vcDg//nTrZ0tKed7/VXlAgemdNy9iGP8INYyxqDbgZKaw0+lACOl0OsX9ACHU3ThTjuMU0UQUxdP7h3Y6nYeMcwqcnxOgHkLo/fIIqeuCRASO8L0HY3wSf4gB507Ur15WfsFV2C+bnz6o62vDwCkDrR8cjr3BZrcjhFiWdbvdiuisDL8FS4YZLSRJMhgMSn/Vs83dbrderxcE4d9vqIc/A8B/nh6XmpIY4T5/+GlH2DKJieyQwZaODmHb9tZI6xoxbdbWJOiGvM3KNlf/mwORPnhUy9Ez44MYcQCAIjgiwGnb36secWNg72dsDPqDhiWu7Me4sh8BoKzwioz1zwcWEMnOEWLS0wEAKSVLDg+6jiRJgiAAIaR2/hEAqC33sLGsx4qwHGM9XJs5ORZKACBv9VyJ0rXmTs048AUc+KJi0jyCYEVRDBsEHeJCcLsdny6a9qcbVtE04Xb774cgwG/TTxdNEwSBJClBEFKS9fc98OvMGanf/1AXugKZGfqq6i4hLymRu/mmgncXHmlqVh/g8evxUpKSUoLvHCGEmtqefkDdYD02lrn774P27W9b8nmF7/e66IIJoeus8TsBY7x48WK/AdGZM2du2LDhpZdeev311+fMmTNq1CiLxYIQslqtu3bt+uSTT9xud1xc3AUXXPDtt9/OmTOnl6PRpaWlABAbG+vb8uvr63mej4uL81vZLWAAACAASURBVPO1RwgNGTLk0KFDdXVhrjsNDQ0NDQ0Njb5DE6CjCUmSM89fvOj9WdnZKRBcgE7Crkbk82iIkAgkAARTnwHjYJFZYenZjPWoRNTV1TUvWbrr8y8qlI9jRiXcdMOwoUNzTm+B8sRgMOj/css5f7nlnJqaBo/H3djoqqhsHzw4MTcn2WhUbyoIIQAcGL3LEhghJEmSou4ZjUaMscMR6eRokiQ5jnM4HN7A1VPLALoH2O32g7pLU6VtFrG0B5vTAWMDUcTt9qzdXb6+3NXuAYaEUWnUlGEZSfHq40x9SnpOdvqejTVlZU0ffOYpLWcH5KXceE1yVlbT/15LLP3Fr7BEcQmZLgDIav/6ADOTZVmCIAwGgxITzTAMRVE9CEzuFgght9vdq6E+WfZ4PJJM3nhldnWNilY+elTSsKH5Ee4NY/zk07uDVLXLw4nn8QV/yP/HQ5t6VOUw0EeWdncTWe53AjQAWGbdBQuvC1tM116ZuePd6jNu8WtsSIpCn0ZKbsbjn6FBRmRVwR+VPpN2tQKAyJg5juvZPZLxdE1p0jkbvN09Kbriylcpy3PWLAAAgY2pHfNXp0yG6K5Dj8TY7faPP5i6eWvDiwFuMzRN3HxjwWtvHuqsFUMghHie//6HqgsvyK1vcAKAoj4TBKSndarMOh3pckkAQNMoLVWv11OxFjopiUtP0ycnc0uWVjY2uZ9+Zi8AlJVFxz3j4blBxySsVn7+4/7uN2eODOXtq/G7AmP8pz/9Kdg1wvP8okWLFi1aFLiqtbX1zjvvBIArrriiNwK0w+H44osvAOCaa67xfaiuqakBAIZhAvvh2NhYAAhmMPX9998Hfh2n02kymYJNS+oneIcBlEl4J7cyvUH5IoIgnOpvSd7nKEEQTvW025IkybLczy+ByDkNvotymfA8f6pfJt5L41SfdI4xxhiLothvm1Z33+z683eBY6YIp3pKYU2AjiYIofw841XXfvfyCxNHjx4YrNhx6nMEUFjqcT/rcDoBuj3l1tzrVO9P/d/K71YcN9d+89bmzVtX5+YY337jAoPhtE3CdoJJT08GgLw8GBfBnGYTIdkCXDiaeGKkWW+3d76TuFyuyPUjmqZpmo5crT5tcLlcVfTwRv0YBAAgJfC7YsWDkWzYAYks2Ve97q6DFe/91qVA8RJsrBI3VlUMTqq6efoQkjwJL2bpeXnpCx7xXRL/x7963t7POpq8SzAg26QZSbgUAFi5XTGy8H1JFkXxxDyf9f5xliCIu+/f9PbrkxY8tStw7bkTcyLfVUlJ0Pn+JIFEqfPJo72dv/cfG7tZzYiQZdni6fYQi8B7aLoPh1h6TNkZt+dtfyNsMa6jOnPrG9Wj/+rt1hBCSBYwEAh68iLdkjQivnEnAGQdWaYsaUwdH9e4QyZZhm9HWELGBI/HwzCMqepXADA072fdraS7wxOfz7ZVSIyR5CMN/PdtvrEt+1y6RJ2rSbUk7WnPXvd/HlNq/fBrXcCqXl+RPN0q6vOMaRk//NR1u+d5+bU3Dy3+ePpV1/4YE8O89vIEu93eYUNffFX2xVedOUgRguf+Nf7+Bzd5Y5wV9TkjXc9x5JFSGwA8Pm/Y/AW7A0P7q6qdH33y67Sp+ZFPJgikpcXq9nQvo+nZZ0WUU1rjd4LZbD5Zb4AY448++sjlck2YMGHIkCG+q5qamgCAZdnA25livxNsItFjjz0W+JaelpYWHx/fp3OPokhfj1KfGHieP9UFKS99l7TjBHOqXAJhEUXx9Pgup9OL5+nxiygJq092LdTpbsX6s/oMx6p3qgvQp/BYcf9kxrR0ALjrvnVHj9YDQIJH3WS5W+jknj+LGIOFTodsuIEGDt3ixpuX+qnPXsor7DPPX9zWpmVBOQmk0upjgO0+iyVJivzZl6bp0+OJvwcIgmC32212u83uijwzod04po/qs277AV/12ZeSRmnBl7v7yb0KEYR03XO+VamafJOiPgvAtrNZJqHMb5MTE0Ejy3Iv7XEBgGVZh0MUBHVhKzbOHPmu/vNaUNuHnJyIBggpqld6emNddbDtS8wXt1NpqqsETz99bssaOlZCocZ+yqc+qfzB2usTjnxPkqTig0FRlLFhd3XeLBl1O7IbAyjqM/iow0l1myjJLVJcW2whApBj0gCAIAjFxBkARF0cH5MBACJjKj/rHwDAMyotx27OdnOhYnIJWXTrE73fyxZXeHjs/b4FWFtd9vpnUypX+c3WBwCEUNjrTpLwxAmpAHD9tYX5ecZb/lz0yENnLJg/evbMrHvuGgoAzz8z/rWXJ7rdboqiOtr9byuxsf7ZKSacldjezivqMwA0Nqq3JUGQ33ir5NIrll1z3ZLmlh4+YjU3+0ejh6WgIKlnx9I4/SAIwmq1tvWCwCwdESLL8meffbZ8+XK9Xn/rrbf6Cc2KiBxi55EkINXQ0NDQ0NDQ6CO0COgoM+rMHID9AHDN9cvXrrqxKDVxfWvP53QrFMX0XA7mOA5ARU/UgeQK8usbBQdAN4QSPz74cMPBQ6H0ZUnC51+09JfVN57Sc+VORQqTzYeOqjQGCSOOpnswdNkP59qfFOx2eweTbw7nyCECHZs+OHSZnlFZVb10b6hIE6sbv/X97ttmDe+Lo3cXnV7fdMUzSZ8/CACHJ94xmFgDAFaUaWTaY1Bjh5yHMeY4jiRJRQLDPkBferz0vj2XV9j+9dS4a29crbrW2J2ZH+UVQWMiKo9GFPohip3++5Ef1Bdj3U/BVg3u+FoKcvtgdT10i+prEEHYLnrO8vU9wQrkrnrU+3dM1UZr/nQREMZAUZSMKFtMrqiLZZzNflthQIeG3Vy4+x3vktpRtybuXUq7wwijemeD3tkAADk/P94w4tqEvcsEfSI4GgEg9+f5IqVrHDonbcdCDNCYO91S81vgHgwdlSFGGDBAVd5sIqUQHRt5ah55repvZqnaaB04229hJAK0y+W44drcm28svuPv6xxOcerkTIyx0+m8+MJ0jLHNZjObwOl0cJzhb/esa2s77taDMXAssWD+6HmPb1GW/OPewc+/WOI7TOY18QhGeYX94su+/mrpRYkJ3U5Z8fNa9THyrEzD0Sr162vY0JzuHkVDI7pgjL/88ssvv/wyJydn/vz5FovFr4CyxOVyBeaBUKTnYIZ+jz/+eOAlv3jxYpqmjb2eE9mnOBwO5dlAse062dXpFXa7nWXZ3o+Fn1y8Qdw6ne5Uf03weDyyLAeO0Z5yKGG2FEVxXBC3z1MExSXyNLjYnU6n0uX28w42LMqDH03TvQxe7Du6WzEl/1AfVab3KHU71dt//z2/pyhZWZ0xMpKEf/xp23kzRhka6h10zx0nCCz1OB9ge0uT8eVbJutj1l/5nEAdd8txBY8FG5uZ0LPDAYAkSe+8fyBsMVmG629c+tGHV/b4QBo9gGNo1dEIlsBY6kl4bG8Mc08zWumi0AI0BqiNvSq5DwZdMMZvrFefaO/Lvia5tKIqPycz6hXoAYmZuQ0jLxUEYTCzBgCqyBGpVOk2+8S7HtrzwD3UkKGhHLiUVJl9UatetmeEkCxJmblBR+98g9BlGZeXV23fUbNlW/OwIbHFRfEjRhR6bVIwxh41fwCSRKpp34Kxb9+RIUOCmkGFxsCrK3QSUCSIJKifq/780GayxNflz0otXRFJ4Zw1jwOANX4QtqSXjriVZdmqsX9HCMXv/6+pcQ8hdXakCLCv+gwAaVvf9v4d9vHQzcVz7pbUHQvbU88Askt0oERX6s4PO/fAGXk2luH9h3VD7xwBFOz/RDrEkZIbAOxJQwVBCDYaYajfbTPk+i4hCCKSSElZlnne+fwzZwJi5/zpRwB49eWz42L1DocdAAwGQ2lZx9zHVqluSxBEXq4xIYFrbnY/MX/43MdVXGvCIkn4T9d/s+Kba7s70PLbb/WqyxX1OS6OaW31v1eyrH/ItobGiQRjvHTp0o8//jgtLe2RRx6Jj1eZAJGeng4AgiAECtDKfdNsVr9DnXfeeYEL//e//xEE0Z8VK0X7UO6tqs7XpxCKGnUaSISyLCsCdH/WpCJEuZRO9V8Ejl3+/fxyjgRJkhwOx6l+sWOM3W63cskzDHNKB+TJsqy4d/bbptXdptLPO2HlfqcJ0BrHYTB0DZM+/uSuqVNGnJFiXtcsQJCGYnRaJYKWaFoGQiJIjPz7oDyxDaAnOcQctg7jSzcjwLTDOvn9m4/Murss48xg1eiqj+Cg6a7HUyX9gjITOZKDluyrjHCif2m5ffGSTXOuHB9RaY1ooONYAJXYrg1W+kydJ777ut4pffuPLjwKNWkAY6jkZqamqLsW9JLK6jpnZDHBC39rebJ/CNAAkDTlSnnXiwJmduAZS5fW1tVlPHZ3x6bXmhA0HcRXnpSxjV6KpxjjzExTRwdPkkhSG9GxWjuUOJoNG/Y98PAmb1e5fkMjAABszMzQ33bLkJEjs2+57TtRVNmDJOFuTaA+fMR6vEFoN6BklQEADBBMelbo5xmHYsddiktXRujmjBGJY9Lass8R7XZvg7RnTuMGnJ+3+SXK3a4skSjd0XMfyVz/DOUJmhxPImhSVrlKOXeL8odgTDbXbq8YcHHO4a+VJQh3VjJp/9cR1RYQAPa7wSvqMwC05U6maRoJ6vMkLBU/t44s9DVf4jgu8tsBxliv63xCuPOuDQAweHCstZWvrQsVqn/P/Rv+78kzX3lxwhdfHZr/hHq+zUiw2cTfNh8eMTxn566KunqrjmPHjsmLjTWHfjoPeNQ6jkD1Wa8jaVp7YNY4aWCMP/zww2XLliUmJj7xxBOJieoG6JmZmQghm83m8Xj8wjbLysoAQFW21tDQ0NDQ0NA4MWjP01GGJMnsLIN3ivTf7/7m9VcvLqTqD0r+QdAIy037KxbtPu4db/ogw4DCRJHojIRCAAV5uRAxbc1Nnl++0lfvA4QojwNBl4RRsOKl1OT8nbP+4WDCzPXYWladauQoAg7aJCfV+fxqEJwDTHRKYpgn1y++DB/+7OU/r+1zuaQbb5gQ+SYavYFlWQ5JbqyiGm9zGcAFMxK6oUH3XSDqqYggCDhITKIbjI2xF6empvfRof+3K3z4s0KHBzc2NScl9nyKQ3TZZJ/27Au777zJ+thVtQbUBlCuLE8VfqugRgTToFV1JYSQMhzSG+Xa4XDo9fre2JpLkqe+gScJdQHaZnNgjF959efFS8tVN6+qdj4yfzPA5h5XwI/6+h6mAMIYqwrNYQfcnfZ2hu2/gQM0wzQMuSJl7+IIy7fnTsKyTFGUb7tyu91VZ/+D6ajFBGWq3dKaP8Nmsx0ZfTfDMJbKdbS93mPJxhQnE1Tyns8AoPaMm82V6wwtB33PnkDracFZlTsrs3wFAOhrdzYmDCdFNwDIiCRw93xa3Vwc5+5K1ndg6C1Fe46Lyxb08ZIkZez4QHVz2tnKsuqpCMOi1+t377V63MddNSUl4a2ZGxpdDMMCgMnEfrpo2p13rWtu6aGB+IMPbxDF9T4Ltqck6956fWZiYtDZY+lpxgMHu5GL4txzUnpWNw2N3oMx/vTTT7/66qu8vLyHH344mPoMAEajMSMjo7a2tr6+Pje36/WhtbV127ZtAFBYWHgiaqyhoaGhoaGhocYpHPPfbxkzuuvRcOfu1sWf/5ablpIPx8VGGXj7sm/2Ld/tr9/9uM/x+tcVb395WPn31peHj1bXRnJQjHHrpy+YX/5z4o7vDE3lhsYytr3Br4yhofTsD24rKN8YYj922tBMm/d4mB0uxqs+A4CD1u9002vKGz2eUO+oLa2eSGrr5Z33D771zi/9JD3a74ECQ7BTjQDQeisd+ayT0yZPd1QQBMFBBJGYi+5I7jP1GQCq27sRc7rnaLdTb/UdWen6FU9Xn1+wzYCOq5VZqggxbTPQmoMkSWV2vOLb1ZvkTiFsCiJBkqQBBTG8EOwXQUuWbg6mPkfC0CH+jp8Kfzw/Q3U5y/VwjgJCKJjLs0JD3DTV5YK7vw9KxZ85UyIicthEWMpePT//53kJHUf8hj1sNlsLMrVi3dG0c21ONwDwPG+326vjRzYPucKacqYteZjDmFE2eYHdnG0pX12XPMZ3e4lgyguvFClOUZ8BgCAQkZCTdnS1W5fYLfW5fOqTGMBXfcYATGJW+bnzfIvl/jw/eccHnK1GfS9YBoAeG48++/yOl17pdgjz+bMzXn9z789raz5YdNhuF55/pufToQKnC9Q3uC689Ov6+qCDc4UDg04sU+0Aiou0uFGN8GCMJUnyeDzOcET+3CvL8ttvv71kyRKWZefNm5eUFCoZJsuyxcXFgiAs+H/2zjpObmrt489JMpPxdXetuystpS1SXEqpCxR5gYtzCwUuTtEChYu3uF6cUjdKW+q6Xe123W0kM8kk5/1jltnZmYytVTjfP/Yzk5ycnNlJMsnvec7vefJJhxM0xthmsz377LN2u71v374Ojw4CgUAgEAiEMwLJgO56JoxL/ea7Yufb1988lpEeNmJ4dnRLy64mCRClrC5/e0t9gL39+4ui1xdrIsJbdQeMsclksjY3asMjNZq2rOrGz18MPfmHlz7akb7hrfjQ7w9eudzIBl1p0MqotlRbJkbaXXftisUSdPrhmk/ye2WFTpo0MNgNCR2gf0LYsVyv88QtImrBSiX4T0PTarWdSRQ9L8HoDBiSiKIo5xXslaMV5inDum00QZKYkg4n5bNqFZRXVxFBELRardncNrufZVnH0Wg2mx1CYYcTmQVB6ExqP0VRaz7Nddjaeq6128XX3zzWsZ4dHD0mHz/46Rd5v+ZhQzqumvG0QS02eFtrVcqLIPrwuA7vsWegKKpsxG0pe14PqDEWASCkeJs9W2cNTfW0JpdVkTL+eA6JvCW6v7bmqGNJVmOR44XAaCqTLxRYQ/axj1w3URkrYg+8b2e0Rb2u73XkPVm/DgAQGVV99ozIkz+Uj7ozfs+btCTE//ESAhApJS3xAFCZPJnLvBAhlLrtKbdt9c3ykY+yUf9nVUfR7ct7elqpOM4LtVrtKMrkXG61Wh+6f/DzLx6S7dwHv/1eHh+n3rmrevHC3ktu3XrdNenvvjX6ZG5LTIzhoWW7g+1NljkLft34+wLZVQMHep0I4vrRhw4OP3CoAQAmXZDVJUMinMfwPL9q1arff/89Ly+vsrLSZvOVkCEIQoCx0r/++uv3338HgH79+n3yySduaw0Gw5w5c5zRI4TQwoULKysrjx49es8992RlZQFAeXl5QUFBcnLy8uXLO/LBCAQCgUAgELoIkgHd9WRmuj+Z333vjpYWU4jBMD0pxJR36v2A1WcAwAAPf3Lc8brkz43S41drV8yOeOf/VM/dKD52ddmm/wGAsbkpQPXZgaqpcvSa27OKdwW+SRuI2l4neMvdiImWrxTsLXHPwbLH9vpOrCZ0FXqdbpDW10PRoWbKW3TBFUcN4q4b1/lAgMayXYs3x4lp2fLfDheYW3TPgBCqQ6myq6L4/T4cxu12uyNPmWVZiqKcOcsYY0mSJEnqzKSKTk7ImHVD1uOPDJdd9fyL+zvTcwfIzEzp8LZWxlftgZSqz2WXMx3Nou1JEvsOt6mCKO3LmqriD3yQvnl5xp8vhFLWUCXEV+6M4qt0Op2nhGQ0GnNG3ndy3CNFaZdVDpzjtpbCYnLRLxk5Mv89CktKwdj30FtO9bkhop9rg5o+V5dc8Kg5bjBviE/Y84ajGWtrAoCSCQ9X9L4eAGJLtgBA1LGvXA24fCBoIkyKMM98TM8Li81mU6s1H3yUo1CodDqd8/SUJGlA//CYGPmffm9Mnxoviri0zAIA48fGffzhhQWFzbfcvvuVlSdSkvWr35/saEbTnaqyYrGI//t+n+yqyAj/AXiEwKE+A0BIqL4zIyGc9zQ3N8+YMePee+9dv359cXGxb/U5KFpaWhzW/wcOHNjkwc6dO93CRVqt9t///veoUaNsNtuOHTt27NhRX1/fr1+/J554gty2EQgEAoFAOLOQDOiuJzJS5rn9oWXr33rjaoSQQR30/9zM45+2H5987KPEyjzX5QiL8VtXi1tXo+ggfKJbtwVIW78qQffF7uuesyqDvCVFaFtxzaS0GM81I4bHbv/D3foDvCfuOZk5+5sfvp0d3DAIHWJk79Rj+ytEL26udqCOm5XZSsE1G47gF4QQg89ASrg3lXZ9nnz5r7Otaq4YMxWq3/NcbhBLWHa0tyxmm82m1WoxxhaLBSHUVV7kCCGVSkVRFE3TQdX6c4IxXruu5MuvCzxX3X5b78LClsKiHnWo6Izc0BJ3SVjxm0FtYkdKmj43biqYWa/Zvribtfq3KnaFtluTd69sfVP6BwBwYelVg+ZKiLbZbKIoYowRQgghQRAQQlxkr8LJTyKE0rY8XjL+oZiDqymRLxm7HGMcVrjBGpkdnvuz0lzblDzBmDA8cc8blMhjAIzo05OfQCIPkmgyjhIj0gEANZeJqlBUny8p2OLs6+Lzf64fMi/0+HcVCRP7HXg9adergkILAMUXPhWZ96uu+miAn6hs9N28yazX60EUDBoWALVYrDRNO67/CoVCpVLZbDaFQnHkaL0jzXnLtioAmDgxbv7sNIfyZbFYXn1x7E3zNgEATSNHAEilonlekiQZHbx/v5B1G9q8xTDGDEM9/MDQZ1/Yf+Row5wFG1e/f+GXn069+batNIU4q91m63hs78M1OVdcPtgzThAfH+2tWKjLwFpfKJWUXkeUO4IvXnjhhQ0bNgDAqFGj7rnnnuTkZB9GUhBMDefRo0dnZmZ6W8swjKd5jk6nW7ZsWVNTU0tLC8ZYr9eHhoaSqtEEAoFAIBDOOOfGs+K5BcMw0VGqmtp2E3UPH2m0cFatRp2RGA4g89D78Iy453+p9NbnodOmGe3VZycIQFPTQVNRpalh4uqlB2a/XKeVUZN9YGXURaXl6UnuXnKTLsh4+bXDHRhJTY31+PHCfv0yOrAtIVhm9Qv//HiD5EWDrrRRvXUs+BOgTSYTqUPoRKlUqmwyfgXd7W7OMAwFQaReK8+yJ9CwsHCQiVgB+Hs+d1pwyCYsB+vjrNfrBUEQBIHjOADQ6XSeZguBQFGUbE66Ukl9X8CnR3VvEmVsjCoqSp2YpJ14YVJYpBYrg0tKdSMmPhEXowATaR1URl4ac9aEODjOejCn9HRlM8YwrG98akIky7bTg6iZr9ZtWxNZvKUze1E3FqVt/Y/jtc2QZAnPZFtK6yMH2OMHiYDUjacsoakIoGrIghYeS6PusFqtLMYIofK4cRqNpmLUnQ5bLbCDbfwyhmFEUaQQQghhWkHbrWJ4mrrupCgI9ugMQCopNB0AWIqypfVK27wcAMKqDwEAwxsZ3ggAqZsfC+orCytYr1eFqEpKNdUnKGwHgKILn8S49fwSBEGSJKVSSVFUQWG7+5YdOypvWdTbcb4AgCRJOp3CZBIcku6D9/X95rvTzz099sY5Gzx3eux4c3g42/B3xYhFt2x9960LFEpq2UPDbpyzwW7HcxZs+vDdSUajsPLlcU3NtseflM9iDoSGBn7ihWvi49RvvDYtLq6d7caCuZkfrM73vfntS7Pfeidv3BhfrrsEAgCsXbtWoVC89NJLd955p2yl3A5jMBgMhqAd8xBCYWFhYWG+JrIQCAQCgUAg9DBEgO4WemUb3ARoAPj2u33z505IjI0AKPTcxIf6DACdm4faRl3fyZEn3J+3NTYTBClAA0A+1qZKkpvQExERptUyZrOMBDN/bi+Nhh4yOOqW27bJdvh//9q+aV1aZyqAEQJErVLd1C/815yaRkl+vvyWeuWFoSq/AhzHcWq12qlB/JNhvJyiTThB082SXGIIVRJwHcJ+cf79VXoSb4nG5ezkDui/ToK10cAYu+7OZDJRFOXmNB0Ioij27RMBUOy2/L77+q3eZy6qFSZNjNm63YviHiSXXJyQlGLoOySO1aklpQorVK757Y5LsCAIHa4sR1FUScQVKfU/Br5JWOpZ4S9utdne/OrAliPNziWfba0DgEduyhw7tC2RkKKosMkLOX52S10l1BX/XqioNUOzWSyr55tMoihhAJg6WH912ImEih2BqLpsSynbUgoAmoYCyPteopW2kGQ7q1c1nzbGDtEiCv52iVFIvF5J6U9vpwSrMXFkpNDAhyTZAQGApqU0pGSnti7H0Wf5kOs0FSfrB95oNBoBzGq12iBWxTeuRYBtNEuL7tP8nePEAOaQVKM+WWsqNzTJ3HI4CC1xN++KOfpl9YBZzreOimqnik3f/u+0azOMobFR0GgoRxI0x3FLl/TZsbNy775ajGHFyydoGq1ddxoAIsKVMy5LPXCw7uixthDd0sVZz73Y5od+6/9tmzenl4plGAYNGRyZk9O46Jato0ZGa7UMy3ZB0Kyikrt25o8fvnth795t08UWLZzgV4B+6508AJh5Qz/fzQiEEydOxMbGLlmypGvVZwKBQCAQCITzCSJAdwvTp2Xs2FnjtvCd9/Lmz53AKpV94pQ5lfKWxw9OD31zSwsAWPh2ihJNdc0drbq+RGZphzxPMaJKqmpS42Pdlo8eGb1pS4Vn+zWf5M6dne1NfQYAm01a/fGuRQvGdWAwhGBRq1TXDk7anVd6zCSvTwVSHkcURTKpEwAoiorh98quakYJ3a34Tull+OgvPxY3ToakBmF92wN487DGgDtjAhOUgYZsIr8kSRaLRaVS0TQdlAzdp7dMxtnGwlahUJMZDsEI0CEGBWcVed49wPDQgwOTxrYWbvXxUQtKy/ukpwa+Ozfi+oyz7tykwgHNciiPuDSKZTu8r66iuqb25pf2i3IRmWc+L1hUb7526iDXhUqlMjI+pYJSf/HxAc9Nft3X8isk6tWzXxt/OqFiR1AjoURe3VCQtHslAETl/AAAlvAsWjCzxtbfR2tIMq+OUDUVR534TrYHQR0mhPWr1PVVAuh0OgOXG1P3h9NrLKRbIAAAIABJREFUHiP3YK1Jn9QUM1iXNUodHlPfbFrxTU7hYRtA2oTMC2/VbabttjXSxZdHlSadXudj2NraExxnt9qYyAgVQkiSpC++Kvj519MUBW6FCe++b+cnH012+uT066sfNjTqpnmbblvaT5JwaAi88NKJpERNaZklPJy9644BDy7b1djYeufjqj4DgCTB6o9zHa8RoMsuSUEUXDI9+atvCufN6eX7/xw4i27ZvHn9HJWq9ShFCI0bE71zl/utmhsMg3r3cp/sRSC4oVKpGIZRqzs174RAIBAIBALh/IZkm3YLffvIT9hsbm4GgCVT071tuGJdk4WXLB5yQ1elBWurZTKhNA1lHeutzCqjXN/7rzHe2m/bXg4ACEFqqvxU9C+/kvFOJXQTCKHR2UlqJK9f7WhQBKJBWywWlmXZv4UnrVbLBiBCnWcpQlqN2mAvkl3Fhns92buKgdkpAf43VQxER0V072iCxJtLZpiQ25nYRpdMpHCkRXMcp9frtVqtTqcLcCu3JUolVd7YqrMfLLWNHNH2FSgVVGiIrwxlQZA81eexY6KSxgwIZDCcttNf95hHm5T+Kxm2KBIje1/Q2X11mqrq2sUvyqvPDj5cV1lWISM4Prn6mOdCJ0ZOunljkkUb18nhaRryneqzRDGlgxedTpleE9KrYtjNno0FNqRk9D1mThAEAQmm7Or3Ylu2I5AwQGHoVeKY55j578KST9GSz9DNnwvzV6ObPw+b83La1LmNdsXSlbuWvnmosLo17LGjgJ99aPyNx6asPSHcvi12cf3CspSp3gZZ2PvGRbdsfeqZfa+9cTg7O1sQ8KDBIbPvGtB7RkZcbDtxTZJw0Smj81wTRVGSpHffuiAvr2nyBQlxcWEAUFpmUSjQyteP3nzbNqf67OC+u/vIDuCvfTUjhkdPuyiWpiE/vxEAsrNCAvwP+2XV2ztd3z784AS/m+h1CoOBVCAk+KFPnz6iKPI8qadNIBAIBAKB4BUiQHcLqamJDCMjCuXmF7/01d4/jpWPSgsiUwwhYDr0RQWY2Kwrk332brd1lFnmod3EaDzVlrCw0JRk+XI9JaVmALh4evLokfICvclsr6qq9T9iQheBELo4RSN7pHASUqlUfnuQJMlmszEMo9frdTodz/M+3A90Op1Op1Or1QFqeecEWq02y/Kl17UhQZvbBAtNUfOGBvT/XDIqtLsHEyzeQhFaqbLD3hEQTH0n8JcuLUmSIAhms9lheu63N0mStNrWyA2FgEIwf16G6ymRPrJt1ggvSE3NvhK9LZzM2Hr1Dgu0mmQAMSTfUBSlGXlHseEiH20ESqsaddcZjyrZ7fYlL+33O59nxRcn3K5RGOOyOj+ykYThur2Tu9DSnZLsWdueCAULADSrYrgQd5W/auhis9mMMQ4Vm1K2vyAAKwGVHzmXmvhS5sDxjEKhULIMozh0LG/GI+uu+c+WGY+su/ihXy9+6Ne73jtRb/J1SNcYpdu2xc+vXVQdM8L1E2GAooyrb3qoEgCiotg+4+MufujXdYdqKq14w1GjTcDpk5Lculr+xF6Npm2OB8dxOh2zZVvFnAUbY2M0YaEsAAgClqtECJ9/VexthPc/vOu33yspip50QcKsuRsKCpu9tQyWdRtKXd/arc37ns7Z93TOjueq3n5lkOxtW69eXSZ/E85jxo8fX19ff/LkyTM9EAKBQCAQCISzFyJAdxf9+7pPxFYqqNe2GA+U2L4/YNxzyjZnlExODcug6dmqG/oqL0+je9nNVduKyzYVlW4s2vXzqQ48+vKGgCrnaKtlkzfbPYnVauW6QshikfH/Xf3B1T52t/b3ki+/LoyNkXcm+GiNzDxoQvcRGRGeoJCXwI4YmUCSoAHAbDYbjUaTySQIguwmFEU5jA5MJhPHccFa9J7NaHCdt1Uc1rOqnpiQO6x/VqTGj/yXGU5lZ6T5bnNGMGL5LF0tHZz/sisWi6Uz+rUbVqs18JAJx3HvvX1BVqYhJlolYZAwlEntzohteVx2lq+ESpWKTktpi+FFRLhHK3sPcjc+QnzH/bIDIX7gtLKQSbInbb2qNx77eLfuPRAwxq989lcg15XCSivHtft3FZeUy24Xqm33xUkYvom8pTOD9CRpz+sqltXQkqq5BAD4v39nGzKn2zXhBrUyru5A4t63EeBSoQ+Mey67b5t/SHNzy8Ln1j/6ZXHHdt1gFpfs6ftp1B2Oz84rQ56tvnHWow0sS93/6ODamLBJ/cJHZGh35Jp/PmAEAKNVyq/m01LdT4Sb5m38ZW1VQyMwjFqn03Ec99maKZ98NKW8wtTYZIuO9hrFrKzixo6O8rb22/8V3TRv45+7q7/4ZOrjjw721oxh0KsvBuE8bjLZm5pa5eyKwqNJhW84XqvFxhGWL3c/cUKtco9d3X6r170TCE7uv//+pKSku+66Kz8//3y6wyEQCAQCgUDoQogA3V08cN9wtyW33dtu0vSne4yj0lV6tlU2QgCX9GKL1hd+8PaJV944+fb7+Zu2VdvtrXOJq2tt5tisYMfAtvgxN3SgMDf6b+QFi829CBIAsCz71ht+ZrZec5W8Fpab19LhwRA6xpRe7nqWgyobpWCD1k893Q9UKpVGo/G02T3XQQiF6JSJ1o3eGjSyg7yt6nKWXzsoweD1ep4eRt152cAeG0xQVFPybhIJ1s3eDDr8gjEOPCE3cL8OSQqo2CPG+KknRlXXtKqcpY3uPtcxIxNUqtadarXMuLFRztTLyAjl2reoDx4Xnbb/9fXu11h9hLt+jZXyMh+SgvDC9k30gEure99fr+rNIzUGsFH6Os2AugHL9MMXddUuOgNntW47GuhvR1l1u5+8gjKjbLM5F8W7Lflwm6k62v2XvZNkbH08ZfuzCHBJ/9l1fa4CgObE0c0pE1I3LU/d9lREwToAsDNqQ78LXfP69x3Jn/nsjqpmeQv1wPl6r+mDsNs4deQlnw3/6bfKyy5NjJ6Y8vHOJgWNWCUzfaBe0b686kWXuidBYww//lT80LLdC2/eMmvuRsFOI4QwxirWfuGkmIYG2/w56QqF/CkWFubnBD9+olGScEZ6mFYrE9dUKKjl/x726BOHg/nE0NJiAoCq/P2p5Ws8195+a7bbkl7ZZ2PcjnC2ERsbu23btqqqqiFDhjz88MOFhYU8z4veISI1gUAgEAiEfyCkCGF30bt3JsB61yW/5bonqe0psqqV6IrejAUUm3889d4mi3NVaIjCbWr2rogpU6vaVWxvyB4bnvdnF4y1E/fBGKC5xWhsMQEAwyhCQrQsy1IUNWhg1uWXnvr5N6/u0m+9c1x2eWWlRXY5oftgWTZJYSsVZGxhdjcxw9SMt0pxsiCEHOmiCCHHhjzPW63tDv6gasSdtei06gzLV97WYkCG5FE9NhiE0ANXDNxysODH4+5C/8zBhrED0s+4Q4I3wuP7QPlWz+UM2JRKZccsNVmWlSRJqVQqFArHB/cR//D7n3FWKfQrVSsUCpVK5WrWkZys9fRDKKjhh1yddfiHgpmzM9YeNR7nsGFQzKheuggQb5tWoKI4AHj7lRFL78nxthvfw3DCWpoAuszuJjwyGiIXAYAAgAAMXdVvV/Dfbw8F3rigpC47rU1c3psrH4J980eZmr3LjvR7P3Y/CtTgKlAkRCUf+wwAMEB92oXJO15w7MLOqI0RvdVTbo8KaTOCyMk//ehnea6bUw5z6L+545KE8lrjD/vkFfk7LklYtbbc+fbHgxZVn2uGDG6M6Re5Pc/icGSKDlFIklRtBJO1XdDlaL2fS/etd+wAgDGjo07kNFmtYlqqrn+/0InjozdtqfJs/Pv6CoNB0dLiy4Xmpnkbp1yYQMnVYaYo2PFnldkctApvMRuTKuV9ky6K3v8ytE3PCglRdOFcCsL5jUajmTZt2ptvvrlixYoVK1b4buxtuhiBQCAQCATCeQy5++kuEEKxMaqq6lbdLTKCFeQe3DgeJxcebXn2zQVPPvyki1rraQz69Q7r1PB2S7pGfQZA2GtaXyy2VCF5rwwHT/5n64GDDW4LU5K1y5eNaGzqiHJkNNmDyl4kdAlT+iauPizjvm0WkUNQC7wro7E1ndAxHduRDdc1ozyb0Ol0idYNPhpU04PDela5oCg0ZVjWBYPslbWNhZWNNEKZiRHR4SGdqebXE5T9BF5O9w5fB6xWK0VRGGOHfq3RaDQaDU3TFovFM/ghCL70L7eWDMPY7XbHX+dyvV7v6NZqtRqNRoqiKiubHKsGDQzbZwMAmHdBzMfbqp2bFNcJy5YPeumbv0vSSbArx7TmDuRQnwFgeMReb9qxpPBvzu4gRu/r6n0+selwEDbBYvsyhT6KFnoi2MF8w6rmA2vjC37uwl8p6u9fYQSQvuNZizaeEixVo25PGTLBOQnlZF7B8RLj3vymQ8XtwrSsAq2Yl1nfwofrmO92114/NgYAeEEEkBGgb5ka1+yh2H6fz/MKTW5eW7c3T423WCzpMe4zYIpq+NBQZZO/H/ddu2sRArWajo1Rvfl27nNPj960perzjy+as2CT5KKUiyK+/LLEz7445brtwAFhx080iWJbs02by0EOm03auKnsoimxGzfJqNveUKlUzJF3vYUQwqVygLbZZk8/0cUJ74Tzlebm5lGjRuXm5p7pgRAIBAKBQCCcvRABuht57NFht9/ZWnJ99Kgo2Up/AJAT3ycBwP7Y84+Gh26f9eD2XfWyzfILTXxSmLITdhneKL7mkVSxqZiWKVBWDb4cGCyH8zzVZwA4XWJecuvWrhoeoQdgaDpNaT3Fywhb6+uU0yJ1HTDQMJlMGo3GYpFJaec4zplVeo6CQFJLXt2fJaBCs6b15HicMAyTFBeVFOfVXPWsoqaqIgnJq0sAEFTqvRtOuwznQYgQ0mg0ZrMZABiGCTayAgAKhcLhCmI2m11doZ1BFwcY49deb01ejkjQQREPAENSda4C9OLxIStfPQ6JbaUCEqOVicoTrv388ZG44tukn36tcF2oUlFAB/rDHREe7r/RuU9zc3DGTbi9lUpqrHr3yUB7eHROtlqrU0+43j7uWqvFXJV/1FCfo20q0hrLEQSjZHvAKw0ns27cXUZvOckJItAU2L813tywb/qEgev+OPLfDdXehPJnZ6cjABXFI6T4M7dFz8LFw2L6JKiXXBj1/d7GeqMdALLj2bwK20vz0vIrbT/85R5r5O3t1FgEEKKmLBY4VGxCABSFRBfV+PY7+jz7jH/XC4zBYhF37KwFgAMH6957+4K5C9upzw4Ewf1TlZSaP1tz0ez5G101aB9cMj391ClzYVG7c5BhkN0uv7lYn6MTKr31RoN92kVx6ze2NhgzhhhAEwLi6aefdqjPEyZMmD9/fnR0tO/Qb+DWTwQCgUAgEAjnDUSA7kZGjxoMsBMAWJauCTWAUX7u6vFGOgEAAKSGpvGrlk2/4qL3qTGnSmRku+nbpqy9aKeqyeuzUweoH3JpxuARAFBXVGlSaN3WYi8ZiAhL2uryJ1cE570YCCnJWpL+3PMghMZlxZ06LhPeUIBoErv+G+F53ps8fU6gE0t9rC1gr04hh3EAxDR9622VDYV0zH/DGxhjs9ns8OUAALvd7kjPVygUNpsNALxl6zuuSA69wKk1+xCvMcb9+4efLjUBgF3RqkEs++IUAtCw1IBkLWfln378IABMmKA5eqr1FHj9xmoAkDBdIo1MpXcBgJrmHp+Zd9vViXc8IxSdai3JmJwUqKWGtqkSwlMDbHxOU1YunwA7LMuwP19GWY4Kb2eiPWFg9Jdbqz2beRKqpTPSWk2QKYrS6PTpQ8YCjAVo1Z7tdntZ7pGY3B9YSx0lCZTIB2jWISgNC0quNea5+32vWl+9ar2vmRYAcN/qQgB4bnbqW79XUAgdLOamDhY5jkuLpP99VYJCobCL0vYTLf93STJn4/sla91cNTxZuTjLcZyP6x269kB9C9eu/dqcoKuDvvSq11sFm839vqipib9xjp+P7Mp9D8pMBfOmPjMMSqz92XeHM0ba1m8EAFAqKaISEgJk/fr1DMO8/PLLd91115keC4FAIBAIBMJZChGguxe9nrFYxKnzex+r9JrKV9UiUpFhUl2r9mf+aeMs2Bhyx9wPa9LyisyuegjGcPGGcfcuTLw0/z3GFvRDoBNzbJaoDRVDoqmJ10ZFRDoWDojU7gpkEjPGzXtPrFx5wn/LDnHX/w3ppp4JvlGrVEkKa6ngngQtAP1nIz0lQs+Z5Ut1+cBisWi1WkfOqRs8zwuCoNVqrVYrxjjA8m5nCRqNJtbqVcXgQJ+SHnTJ0H8goihqgPO2toKdKJq7wCvcLaDF87xT19ZoNAghp2Wz3W53Myt34FClaZoOMGOaoqjc/FYLDvpv6yWOl16Zl/7fDZVp0apv3m918w+zt7p/XD8hLIQusGPFKXqGHdsloClo3TBaWfbNf6DY1ueeJ+tLSi3jxsYE9KkFW3ZaSiAtzwNOlsnHsWwe2bUOBvZOcH2blBALcDSQHb18u5+fJ4ZhUvsNhX5DHW9FjOuqyqmiXaq6PJWpUsm7q+EYgGdDOE3Mg6fGG60iAGhYBBipWcqRuRwICOCR61LUSnrp1BiHgZUzsGez2Ww2G0JoVLqC53k1q8QYa1jKYvN6ve2T2BYXxBh7qtXljfYRwyL27pefqtXdKBRo5PDIESMiW1oECoGFEw8faRg0MDwpUfPCS8d1Wsbk0xL6iktiaZC5ezGqM3RcoeNK0V+fDxABAE8+PrRbPgPhfOTkyZOxsbGLFp0VRVkJBAKBQCAQzk6IAN29PHjfoNMm+0aP8oNuqK6abnm/XUmc5lWfXAsAFFX81Cuff9cu1/KVj8o+j7rqvbEH9BVeSlT5Q3PrCte5gRjjb77d++Hqk6NHR06cO4KnZYrROanbnfPWm92lPiMEI0dkdlPnBL+MT4/+Ild+KvqmesXUCHkp2Tc+8tkdGakMwygUCoVC4eZjcHaiVqsBQAsNPtKbxcxbztGsuYa6alTzp06qpkDgqEhb6LCw2MzuywGsrixN87KqQH2dycJDV5R683EEOoQ2jUZjMpkQQrLVxhxW5gAgSRJFUQFGSvi/Bb76MhOA0vH63o+LACBDI77w7Ng5CzZKEvz2a9nspVkzh9XFKPYCgFXS2LGd47gKzbBE9Jdrh6lszvfPwDHTKIEySFVFQkQ89uEELUm99Mw/ZyrJ1iPyzlTHiuUDBmpVu38dTdO9E1Uny/z8TK+6q39sTGRQA0MIRcUlQtz1AIAxrlv/VmTFHseqmtgRnzUN/bPQam2NQbTGGyw2DIAtfBABudcWZfI87+Pi7Iig2Gw2jPHm4yYf6jMAKGmkVCqdx7yHZwYAwGmDfsmS8Pffz5dZFyRl5UFMglkwL+PLr4p37qrduaudi8jxE81hoUoA8K0+IwSLJjXIxrxUfK3zbDGINYkJiWXl3AUTif8GIVAcc2u0Wvd5hAQCgUAgEAgEJ+eoTnLOMHnyIG/qM8u0qQMnhk+R316S0qJkXOSqam1X/tyvcPiNHRhSxfjZbs50i2/57rU3jrYYhfUbKh+d9xMqLPa2rZY3vfXm8Q7sNEAwhp9/Odh9/RN8o9NpB+m9FmTLNTPBlrNDCPmt8OZIOzUajTqdTqM522umIYT0UJvkvfxgieF6WR3zLMdut1uPfxhX9X6sdEIH9RpoiZCK4hu+UZ54qabydDftVMUVyC63UDGcTexMUrzjWHLgtx9HA0fRQs+1CCFHgUGMcYBaPMuyNbWtKldlZTt9bUy6evW7J/cfqHUMKjZWddfoAzGKEgDgQWvFBse+zChOtmce6TDGCEvKujK2qhDx8j8ulGDNNdoPVrccKa+vrArIXOKcxh5MovxVo8M9v8enbhnle6uHZ6amJicGOzBXEEJh0+8whaSWJ0+5h1uyeHffzSed6nPHWXZNksViCcSsRqlUKpXKtXJlG1xZMDnGoT47xmxQyx/zPxUK827vG+xo3Zh5Xcr+A37G42TkiIjVHxdaXSw7oqPaguWNTfzAAWFy27Wx+v0psdwh2VUKsV3k9cKJ4Q89NMBh+E4gBEJ2drYkSYGXtCUQCAQCgUD4B0IE6O5FrVIlhMprdjEhCvrvf//u021Pj5RBl/7FG4rE2NYetPJZ6pIEi9+27xxzj+cqjJBdKV88sGLCnIRpN7guWbf+4MncdtYb/3ls7xt3/BjGeU6wxe8/84dst13IipcP19aembm9BAAYkZWkRvJyTomVduT/Bk7gmh0AmEwmi8Wi0+lUKlWwO+oxaJpOtG3xtrYS+sQkZPTkeLoEm83Gnnw1BMuYy9MgJNV/WlX4l+eqzhNmz/NciAFKlZM6+RjPcZzFBd+NrVarXq9nWdZTgKYoylkIEWPMsr5mhzix2+3OxNGTuS3ORGQKwbpPcyUJXn6t1RL3kX/FO7c6TU1rVAx1KIlYTguvFRIAXJKaMVbWl7FVhZSHDC2xGqxgsYK1q3WVytBDVU3nlsVNsKTFeE8G92Du5YM8F2o06s8fGyfbPjFS+dV/Jk4Y0buDg2vPL7qrb92eWFDdNSpVXKgyOoQN5MtVKpUltdxDnxT6bjZjeIRTfQYAhJCC9ppH/3uOJfPS9P+7vVfgA3ZFo6Z/+NmXk74rFAWHPfLcw8JYxyoHOi83Sw6uuSo5MzM5wN2NG8JExIf/c+YQEDrPhAkT6uvrT548eaYHQiAQCAQCgXD2QgTo7gUhNPeCJNlVJfW8s6g9bwfl+BGO11KLiU1LzPr+3d47vwOGRj7Vk0deL721aSFG7b5HhDHDyzurqtL7uz1TPfuCTEJQYxN/z5LN29/drrJzSrtNYbcxoiDlFeUX9IRJwpXX/nB+yyVnMwihGRkGb9YHHXggD3YTk8lktVo5jnPY8p5tyCbJOkHRo3tsJF0FxliR/y4DvjIoU7gNDXVdnEiLMWaRjEMCBsZRErDDBG6U4cRoNFosFqfW7IRhGGduqcMxJpAZ1hRFOQVos9l++cDWI3lGP63ZxSIAIRgS3WqjVIwuwhgbTWbnvtppzQAAUMrLaaAYK+rL2KpC8P6RJaX6UJ3Z96F7TnPxCD+pr06uHhup8hJFCDHof3lx+t1XxDoDw2kxypW3933n4Qt12i6bmfHZzkATfp0gBDEGZuWizH5J7mG5h69JNpsD8iVXKpWZCSEr5vlxuJo6MMx5nCCE1h6srzf5Si9v4aSvc2wxF6bOutGbm45X7ryjt82nGYgrAweEezbOzWuJj9d8+O4kx9s/d9eqVfTNi2Q+Y3aW4b57Lgp8bH3EfeOHEB9/QhA8+OCDERERd955Z0lJyXl8sSUQCAQCgUDoDMQDutsZ2jd1VknpFwdbn+KSI5Ql9e5aj4IG6//dRv2x1/E2Z/TVAJD0xn8yvnmruqo5OVFXUmaKi1E1NPI2D2vIk/nGK3Q3fD/kV8bqXx3mTudCZtu02ebmZsFLmSYA2Lqteuu2XwL4iIESGqow6JUlpf59hDdtOjR1Kqn/c2YIDTEM1dYfMMskFVoCLYvVRoeTyEwmk0qlki0Kd3ZiwYawiIAKxJ1V1J3amwjyxt+uxFR9yEc83IUpgdWVp1Pk4hz1igF2a/DHmQs0TXfJPGiEEE3TSqXSbG5TbyVJQgj5iUMgRFHIGcVZ/20hyorBAD990WY5otcxP7zOKP6W4HmsNflUEo1imKck3QbG4HuqAaM8caq0X3qgGaDnFv16ZwEU+22WEadacs1wHw0QQtMmDp42scsG5ordbt+yR758QoiaauZaf4hpCpyRaZZBT1wX54h5cBy3cFL0M99XNJpaj+0X56UHaMqPEDpRZu6X5D+k5xaDaTTZH74i9oWfq3zraRjDpmo8emY2FDfs3lPnexdhocoZlyclZxqeeTxQu62sTP2hw/LCfa+s0OVP7HW+5aziex8WXDwt/vf1Fc6Fo0dGvfzi5QihwONSZjY+RhXQdAcCwUFkZOSvv/562WWXjRgx4qabblq0aFFKSgrDeH3IUqvVJMWeQCAQCATCPw2SAd3tMAwzPrJiyYjWB7gBSW25VDQFQ5PZ0Rpb/g+5Tz9x6LNLl+FHHkC61galdz5eePVSzNCXTk0EgMpqq1N9Ztl2X5zRZF8TPjeQwYSe2Ob6trk5iPo/fhk9KvLxRwYAwKgREbINmpqEQNRnAHj8KeIEfSYZ1ls+ne2PxqBr7HTmEcvHw9uZwofy2BB+eU+OpEuQJCnBsjGQlhRI5cW5XbjryBZ5H+1GpoMz+p0E61TuCcMwOp2OZVmO40wmk1ar1el0Th3Q7ymAELpgQpu3xqli88rrpXdnmlc9GfHyf1Kf+nfKj+/FbVnVFMq0SnWcpJX8ZcxV8L5zV/2fZbbQmPN1ZglN0/1S/CQpGzT0a/d0j7TsD4zx+j9PXP/UtlXra2UbONVngDb1efa40OfnpGm1WrvdbjQa7Xa7zWZ74oYUx9qMGBWNZJ1aZJBo1TvrKx/6pPCNX31ZXlw5IsJ18gHG+KYJMZEh7DMz431s5aSohi/S6K5Y3GfEMJkbgPQ03bxFWdMX9FYMiV9XJr63tXHpzYGmGGs0Mj8ESiUFAEYTbzK7R5u27aiOi2vNFr/s0iSH+gwACAV6x8v0ujLAlgSCg+XLl/fv3//06dM1NTWvvfbawIEDQ0JCtN5x2P0TCAQCgUAg/KM46/Sd8xJtn0sv3rM8fMKlK3Yofz3U5FweUlL7vx/b8noKi0xPFYEq45a7ZqhVK14EwQ4AwDD//cjdVM5zLuonP9Zcd+3AkJIjvkeC22fJKZWdOgB6ZRty81pCQxVNTQIA7N5T58h+UqmD6HbRgowPV8sYU1oslrO/JN15TJLCWiq4J0FjgJ1NyvFhyGQKaN43RVGdsVM4h+axWkEXFStvtnM201xXrvZit+JJivknEbrGCddsNoZD0F4EARK47bgnarWapmmr1ep6hDte6/Vn6nPtAAAgAElEQVR6x1u/Mq7NZuNckrivuTIhXXXM8TrFI7JjgYhyZqLQPtMfY4wBIZevxiLpfewRB/aRq2tr42LOvST9QHjqllHXPbpF8nIsj+qle3j+yM4cGB3GZuMfX/3XyYrgLoOpkYr4cJXVanU72ERRfGl+RpPZbrHZA4zP6XS6Bz4uBACOl/KrfE0o6Z+sxbjd9CzHka/T6a4bGfLtX81etmvH7iIODPrkaYboECZUTbM00DSqNYqFNfzvpwSANrF4a6V/AS41RXvFjMTXV7mHvgYNjPj3g0MXLN68b39dVJT77xTHiSpW7JVteP6ZyTExka6rZKxtPOCYsIio8/M0IRAIBAKBQCAQziBEgO4JDCFhzYq4kfxvn4/RfsfN+O5Q67NoSYlMOrDVJq34zhwy5O5HxjabXnsfAk4CXXZ02JshR3w/XDX3Gm9weRsZGah1piy5eS0sSw0fFnHp9Pj9BxujItnX3jgJANu2B2EXK6s+A8DGTcevuHxEZ4ZH6Axj06K+ypMxdbGIaH2dclqkLhANWpIkjUbTYT+EMyIY+cbTJtgBhnNyMq21PoikZgaErkrZsjZ5zcR0ei53mA4n3bMsa7PZ/OrLfvtXq9V/7Kxyvr3rqhpvLa0QVoYmWMxmt53yPC+pWQrarPyxz+lKksbgY62TBostLpB25yAsy366fPztL+9qMrc7SBHAC7f07ZuVdEZmu58qKX9wda4gBhdIG5isnj8pBiHkeS4wDGM0GnUKOkyjCDAKaLVarxsT/fkO/z/KUQaF2Sxz9omi+NMB/y497XYq4JI6oQR8XfkbzdLVVyZ9/6P8pWDwoLCIcHbTlqrXV+WqVJTV2u4EuWR6MgAAgkkXJNx6c98b57hPp2hs4l99aYKr+owxtu9+MRBbjYbEa4Ob5kMgAMyaNWvIkCGBtz8Lb28IBAKBQCAQuhsiQPcQLak36PNXKiXzLParGeNins8fn1sjthhbH89iolXVNe1Sk5pbhAd/17zwySo4mRfg13Q8z3j8zsX9d3/gow2V2r8g5xhgMISERCckMQzDMMhu73ieqc0mbdxUtXFTFUWBQkHdtjT78y9OPfJw/weXddZD4/kXj/zyW8mzT02OjAzvZFeEDqDXaVOVNcW8e9krBxvrFBcFpkF3JovZaDSq1WqOk6+oeUaw2WwWJkojuU+lV4GRE8XOmz/0MBFigf9GLgRYhc8/pmLZxdWKEby1swJ0xx7sGYZBCPkoYOicMe1XyjSZ2qIU993fX03tk21Wj3pV27MA7G571Ov1FotFclGcW0Q/10BJIePY7okQWLNzlBCD7tMnLiotrzleUFXTzCdGKLNSYxPjo86U0NPQ1HzPB+6zl3wwOEV96DQHAAsujMeSKAiC5yR9xyVXFMXA5+/b7fbh6ZoByeknyy1rtlZ5a3b1qEiLl4rHNE3znbhJ8EG9XHXHqVPiSkvNhw43OpdkpOuPn2iXf52VGYIxTkjQ3npz32dfOCDbeXp625QUjDH8+ZRW9C+jS0AlZg0K9AMQCH8zePDgwYMHn+lREAgEAoFAIJzVkAh8D5GUlmVHrENT0Nurn0n77sUpzQzTKmS4qc9Tp7SmqT30TO4fXED2iw4qQd582UncmvvTP1+W/sWyyP/eIS2/oubbVXHR8ilBC+dlBLjTKy5LBABJAptNUiqoB+7r+8LLJ95+Y+xVV6S6tfzvm6McLx5bNgAAtBo/at2x401XXPP9qys3nq/WpWczCKHJfZKRF38GCdD6OqVZYVCr5RVq1346M4yzMEuogp3guRABcJaA/M3PKlQgk+SOASrU8m65ZmOj7PJgUWD5oEITnd4l/QeFWq3WaDR2u10QBJqmZY9YjUbjTZ7zaKm95fZWq/2HHh7wwaa6fGM7+2YrhNZCnzx0VT30sVqtnmU2Kcxr1GoltB1O9UKC751KSj+n4d9dn+chZ4RQcmLMJZMGzb9yxJTxg5ITY87UBYTn+SWvyQcevHGsjJs+UKdWIIamrFar7GSLjsXzOI7TsFRatNfwAwK4oG+It867L3mcpmDh/IxhQ8IRAoTg2quTk5I0GzZVnsxrpxQPG+p+Y7N46VYMUFjYAgBHjtbLdk5RrcPGGJv/eocNQH0GgFrDaFIajkAgEAgEAoFA6A7OOnHnPCY/biECyUqHON6mmbb88ri8C+qGTZXO1z//Vj7r6kC9ZdNNwVUJizy8bs2gdbJPWx997O6MgRDQtEzTn34tc75e+ebJvHzjJdPi1Wp24AA9ADhEdp2OoSiUl9+aMPvks0cBwGwJKIfrm+9Oz7jqM57voI0DocMwDHNposJHg8NGZluTSqXVKxRem3Ecp9PpOjwGiqLUajXLskqlUqlUdrifLkQvVnhZc844Vjuxg0z8CQHEcdtl2wdexcs3Glwnu7xLXL+D7YSmaYe4LIqizWZDCOl0Ojfh0mKxKJVKhJBWq/WhRGs0mrvv2+l4PW5s1DvragHg7U0KDIAx2IHNQ1cV2seVWRJNJpO3CQQaqMnCP7guaRF9RhYRAjeZVZK/tGKKFkWRxPN6gHvf3u3NkFoWjZL618VRl42Ie+KGpO74gkwmk4oWHr8h1fGWpsCgbgsAP3BVstnsNX62+Ygvu/ahqR1Mqw9RU3v+V/jRmsL9BxsQQlot8933JaWlMidXZaV7vCo6Wk0h9PnHUw4fkb+SqFSU8xSuzdsVbvMz1QMDtGiyClLvQqkXBv9RCAQCgUAgEAgEgn/O83yos4rUtLST4sI+1R85lxiEiu9XRF/9oJ/yRJ98VjR/bvpn35VqNczI4RFanaK5ybbjT3cTAABIKPsr2FEpLU0/LK698v0o99GmaItPt3siHTY0fNyY6KYm6YuvC3je6xPyx58WAcCevfVqNQUAy5cNsFikrKzIu/6145WVx4MdnoOmJn7apZ/+8uNMndyMXUL3ER8TlVJ7+rTNq/Jrx2hzvUJLM8NC7LTIe5Yc7GSpd6OxLUVXpTorDAQ0YpnscnwO6nomFKXGMknQ3jIAVRpfpfACRzbzGroo4d1ms9E0HeCB5ykoS5JkMpkcAQ9BEJyHtEKhYBjGh06nVqs3biqvq2vNaM6xtQp8x4s5i6jX0kYOIvy61iCEPKMCks9Qsci6m6LQnFHUhnq2xErV4WY7ANBWYzxLRUUQd6Nu4cCJU2UNQURMM2PVd16aIEmS41DsqGe+H0RRDFErY0OVVU38S/MyJYzvW1MIAJlx6igdeLNeZxjm1wPt/KNZBtlcHDkOFPsqbOgNmgKUX2uxtGZ5SxJ2Na5xY8OmyiGDww4eapt+UVdnFUV8qrjllZXyhZfDw1pPIs5iTqz+n7ee7UhJY7409npeFYcxRgCxsbEd+DgEAoFAIBAIBALBL0SA7jm0Wq1CpQUAO2IZ3CpqJPGHvnh2xE2PmHwn7a35pOiBVy6oEFmHNKQFmH+xFGlt2fzLqYNH2p7KFJamDgwsIv/P75ZMvPb9dgUJHepzepqu6FSrYrJvf8O+/Q0fvTf5ZG79nr31AEBRQFHyFtL5BS0Iwa03Z23bXr15azUALF2S9c77+QAQFqZsbAza5pXnpRlXfrXu19kse1akwf5zmNov+bcjpyvsvqo3mUW0vUGhQMzkCPfSWAghb4X7zkUoitKKlbKrhLqjECLvXHHWwqkygCsKvL1e3zUCtB2UNMi4cDhyPxmGUSgUgdQDlEUQBJ1OZzabfadCO/biTVDmeZ7neb1e7xSgzWazXq+XNYl25Onf+8CfVdWtH+raq5M3Fbdd5Y439RoRsa8SjQTwI0BrNBor0rkl02OvEQEAAE+tWVT5+ZpElb4UoLq0qn8Skdu6DIxxi9HY1GR87ttTgW9127TYrDg1xvhwsal3nCIof+dg4Tju3stiWJYtq7e++GNrIO3OSxJ8xEXsdvuL8zL+9VFbBrGr+hwTwlQ3B315RwhpT9flFchHoWSxtJ8vJUl49vyNty3tl5mhP35C5ranopKTJImiKPuxz2U7FGjdsZBrhzSsaVBl2djYkJajFOabQoYF9UEIBCd1dXVNTUHcgWdkZBCzFwKBQCAQCP80iADdo2RkZlrKwu2MrjZickbFGsfCLGnv5udirn8xrq7eayq0QoGc6rMDK6bK2NDsa4cMuV6Mbqp79Y0cvY6h+Q6Wa4vJ3/7VrVNn/tc9v9ipPjtZePMW52tJAsn7NOPbbsl+650851uH+hwa6lV9jghX1jf4EqZ5Xrr/od/eeO0qH20IXQ5C6NKBKVuPnSrwUpDQiYDR+jrFYL0hnOadzrZarTaQWoWBYLVatVqtjxTUHgAhRGF5eSjCdgCDLwHabrdXleZG2fYpsBmBJAFTrRwZkdiXZc9YZndIfH8o3BBgYxt02fyDPH4YwhIGjMBxVUMIMMagVFNarZbneY7jNBqNQ4nDGLs+qCOEHMqy3W73JtWZTCadzk+RTJZlgz2WOI5zU58VCgXLsq+8dvjosQarrW0wCZkhUFz794BhWPiBMjQxkPTnCJQfLnlWrvOlU2Clx/ETWDFMXhuWc6qkT1pyII0JPrDZbG99f3hbjh9FNT6UqWhqJ9cOS9elRSk4jlOr1f0SVby3POSuQxAEhmE2HmlVyp6fk+73sKxp9prj3CH1GcLK608Goz4DQG5eS5/ehpyT7Xyca6pbZNVnBxYLRyEpwirjSyYCUxExPc1y4HT8nKSKL8JOv3EqaUlk9e/ZI2YFNSoCwcmLL764YsWKwNs7zsTuGw+BQCAQCATCWQi5++lRaJqp0Q1Lad6gr1gjIJUCtz7X6e3V/7tfmPjvGG8bCgLWUqJZkvm+zBJ9yhBz1SPR0YwAP8gn+wRCQs6GTTOi5uy7sLIqoBm1N96QWl3NL17YB1Fo9ryNng1c1WcAoCiQJHj8kQH3PLDfsSQ9TU9RVEFha3V73+qzg/0H6vfuyxsxPDuQERK6CoTQ5AHpqmMFx2zuk/092x4yMoMNoIG2o4hlWU9rjo7hyEJ19eXoYURRrFf2i7DLmMkokbXFZmNZ+VTx07n7sqSNbpU90/j1uGh9KRoS03t6NwzWPyq1pgniQkE+p9uNMt0liV203+Ur5M1eV78fK/xtQOC36J9Go7HZbN40aEmSHObjTv3aVWjzK0/L4pbLr9PpHnnsr6JTMsXNvtjaZk27fGYIjSQOwv2mPyOEtLiKgiDyvm2xnSrbyBmirVbrWWJuc46y5pf93+/1n/mIELipzwAwb1Ks4zjkeb77Ep/d4Dhu/qSYG8dHqxRUIGfBpqPNrm8VNBLEjnu1x9U3H8oNqB6gG/FxGlcB+otPLvr6W/dKFa4cPVqQoSqScaIBKNOOEdTxp0QDbaeFlNsyTr+ZVvq+edTTHRgVgUAgEAgEAoFACBAiQPc0iYOnw7YNnCpJYPT1YePSS99zLNeIDUkJqaXlrSnMNI3E9s946rJqc3yC945RjV15/JL7+619yXOdndUwNj9qDgCwxtpven21Zc49y1/yPyv/y6+LAWDLtopxY1oncYeEKJqbvbpXShKwLHXPA/tvvCHly69PA0D/fuGbNpf73ZEbd9+7Y9O6ZLWaKCY9zZj+mXTOqcMW///5Qy3MiBCDFlt5nkcI0TStUCiELnI2NZlMarWa4zqY7N9JdDpdhOV4PU6MQDJO0DarRVaALsvZmg27ZTtEAMn4oD3nOJ99Nx1Y4mrXYk++Fpe86XcmMA/qhJReXbVTHFSBNi9YLBaGYZRKJU3TFEVRFOX03HAoxQ4bDWcNTNc6lgHmPvvwANFotLPmygTeAGDcmKjj1taRjOmjHR97MLAPBAqFgoVG/+0c0IwtOjXQxt5AqKC+uX8CuZx2BFEUH/1gd055QCFb3y5bPaY+O3Ac/6YAwoJarXZPfpUjfuzA3tGTl6YgW+C2HfZzhCMk/78aMzpq05Yq59uHH9lzusRXJHLLtsoLxu6U34UhwWgyAYBKpUopW1MdMVVtzAsLkRWrCYSAmDt37qhRo2RXiaKYl5e3Z8+eP/74AwCeffbZ6OjoLil4QCAQCAQCgXBuQQTonkbJqsrCp8Y3bLCwCWG1W11XvfBgzE13Fzteix4ZRqs/zL380XjfZqDb6fQ+NEOJ7mlWgajPTibvffXrf11xy0fKJu9qsis7d7U+E/pQnx3YbBIAfPn16cULMz/4qGDTlvIP3p08a+4Gz6fNAf3D01INpWWmg4dkatx//uVfixeeY2a75wcj+6TFllduqpLsPquixdiaTleDQYEyYvWCIFitVp1O11UCNMb4jAi1DvRiCQDIqs8AIHmcegBQUVqY4UV9dsIAL+S9g3vf1vOmkHpDSJlmepJlnY82GJA5famm68YWG6MpK5cJITCMMqjjxDUlmaIojUYjSZIoijzPY4x1Oh3Lso58eYSQSqXqKjcYrVY7Z8Fmb2uHDY88/kcjACyeZrip3wEAkDDl88rdilJBU751SgAAoLAdMwpr59VnAAAQlKSya0eQJOmmZ7fZ5EogBAJDo+fnpJ+pQFrgOGQy10BMAEeoXD8IBlK2ddur/bacdlHcug0yczJefT3H9a1v9RkAFAqvp1xc7Vp79FU66+nI0h0UFmPrNzQNe8zvwAgEH/Tv379///4+GkiSVFJSMnTo0FWrVh08eJAI0AQCgUAgEP6BkBugM0D0wEskoDS2cp2ttFQ7xrk8y/i7azOGQV9+OtX5trlZiML+E5Y2X/VC50cYf/CnH0b+tnhWfOe7kuWDjwoAwGy23zinTX1WKKgJ46Mdr48ea/jpl+LICBXDyDxDfvBRfseqkxE6T3JC3LzBsZmsV90klmt4/uE/X/j3n4/cv7Oq2uIwgz5vvi+F5EvBRJSMMp5s+iGQntXQ0lCwxX+7biA6fXgp6zWiIwJdE3+zRuPXfSUIMjLkq+Q9v+KgM0k5WGia5jjOYrHYbDZHKrTJZHK6tbgZSQeCoxCi53K1Wv3LbyU+7O9zqnkAeHup2qE+AwCFAjr+I3CO7HIlNsXZj2bxW4favh5q+3ow/z+DUBFIh4GAKRKH7giPvL+rw+ozADw/J93GmXs48bkDSJLU+bgTTUG2YJGVlT3ZuEm+Gce1C+/NmpmxYK7XORmhIcoHRsqnPwOAFWnSK9aENe1xGPqf1o4Pj4gOZGwEQoehKCo1NfW33347derUM88847tGLoFAIBAIBMJ5CRGgzwBKpfJU2h0YEE/rdLhJglbRCkG7+1G7Hd84p119sNzN+a5vL4+TETXyberqgRcHPhiJVsguZ3jLwoq3f1hSo9d3rzyRntY6QV4QpB1/1Liu2rCpzO7lCb++vll2OaEHoGl6cv/06zO1GuSe8KsC8dX//OV8+/KrhxUKBQBwHKfVdqWCeaZoYnz5jzs+rCs1VeU0BJrSG2f/i7OcmRKL0VkTqhNutXqUGSynB1uy7wkNj+ra3Q0fJu8mfexEA8YdTG9HCPmOc1gslqDUbZZl3UyfAUCn072y8ujnX+bLbgIA6Wm62hb7N3caszVHA9+Xo+dwkOm2gs/oz/8WJ+bocdvlUS92mQANPZ50fx7w4c8HAnTekOWx61Ns3Jkspho4jSbB8RusYzt4u5gZrbQfqdq+o/XoVSpb+5k1M1O2vejlJJYkuOsOF8UZI9kJUgCg0TA/PFymxF4nfrWEjSxIvYuWeAAQkCq8XxC3TARCZxg8eHBqauratWuJAE0gEAgEAuEfCEl9OjNkZGSJpyitvU5jr3d11Vj18qA77jvsbavffq+YPaU//N3+10p54WBtymULjvwuu8oTShQAQFDpFVaZCa2R+bt+HqObtH5KgL0Fi1JBFZ1qSymdPzd9/4GGY8f9F3S681/rvvzsxm4aFSEQQkMMNw3RV9bWrS/lhb9DWfm/HLHa2vSD0jITy7KCIGCMLRaLVqsN0HvXiUaj+XsOuIQQwhhzHOcpC/YYEvJ6zZQAqTU6t4Wq5r2Bd44AzCXb1b0v6eDgOkdoWAQO/ZdR4JvrKniuRRMaawiNjOwet5N+feO8rbrj7h1vvT6W5/2XJHXDcXj4bqNUKgPv2TNjWqfTzVmwydMf6d8P9ouKVGl1DNW6CQ5n3MtUhkGhCbyWmQUABcjoZRJGUSYZITtKKizEuGu04/NldkLPYDSZ71y1t8nS8czl/9yYxiL+rE99boWlhNcXZ927Op/uaLrC8d9POe25wsKUjY08wyC7HU+aGP/FVwWym3izgf7fD6XO11dcnvrdDzLFKhQM+vmxep293seQ4mt+Rn+X+mzW9I4OJe7PhB6CZVmlUpmTkyNJEnHhIBAIBAKB8E+D3P2cGSiKKkleAgAIMAWSMwl6BPeNs83d/9e7f7+QFc8Ocd1QldP2xCV5cRXlMJ176X1BjcehPosKFgDcnvt4Q2RQXQUFL7TTPtZ8UhSI+gwAJaXmiy5ec94YO5yjIITio6MWDEuYHisBYOWJAs/Z006LcIxxUCk/Wq2WYRiLxWIymUwmk8ViMZvNDhX7TM1bZxgmlvfq5lyL+nhKlipJPkfPG3HS0TOYGIUQUirZqPi0hIxBYREx3ee1HRpqSEyUtx42m+0dc+EIxGFDEASVKtCCe65u1DqdTqvVzZq70U19Viqpd1aNSk/T6/UKqm0ASMTuv63NkORjX2q1Og2v91xeZOmvAJlMWwQA+O+rX2AHjLKqUHY5ks4RKfQsoKGxee6LuzumPrMMuu/ypJWLMhmJO/udN5xgjI1G4yPXpug1nb0aIAQmkwAAjolNS+/Y7tlGxVJjR0d6O6LLytuCNPkFzTzvfgNA0+jHZ+whdj/zA5zqMwYIGzk/0A9AIHQaSZIkSeqqagQEAoFAIBAI5xZEgD5jZPQeIKBWKYQC0fni4qmxjtcr3zyZX2D84qti160++LDAQPmf0Z+nTq6e/XSwOhYt2IzxvREAF5nsXMiFJwTZTQ9hsdhvvf17Mo3xbCA5IeG6DO077+V5rtq1u9qZ5hNUvg9CSDbT2Ww2syzbsXF2EqVSqbefkl2FAbHJMhMFaAguWZtCEm/r+NT+c4hbbx7gbdU775/oQDHGQI4um80mCIJO556oLour/o4xvmneRo89wspXhlOUzFA9F0ngS1Vn5PJLMYYMm4xI17oL0Q4AtGSPNNd4a+MKH5shu1xlI1JIQDQ3tyx6bV9Qm6gU1D0zEl9dkP7qgvSnZiaGq4VzVHhiEf/AlSmvL84CgGBToZ0nCMb+YyVWm3Tb0v407fX0DwtrPY88TdgzM3SfPRcaLcj8DHmjJGKGp28SgdB9VFVV1dTUxMbG9nzBYQKBQCAQCIQzDhGgzyTNA+51vHB14bhlStvUUbsdjx7t7r7628o9fntu4Km43gNb7v6A1weXv6yvOAkA6roS5xIuIiWoHnqSYyeavv9hv+N1sAm2hK4lLDREIVcx8kROA8O02lYE9cTlmn/qSgeqyXUVNC2nNQIAwGn1ZWq5Mn3YyzXWgg0WHCK7ymY9N8xhO8mFk/uHh8trsjv/rOpAjCHA8IYoihhjtVrtuxlN067xD9lD7sXnhskKx+CSYumgCg3zoTwyDJOMZepPNtqjkfuMlDaUpmoACLPUi6hTv+NJYQHJ8f9wrDbb/Fd82en86+JIANCx6NmZcbEhzIQ+ISsXZT59Y1Kkxm6xWCwWi7cL2jmB46r7V14jePdo9oarmuytqIMTikI0TX/03mTH217Zhk9XTw4NabtQXHpxa0T8rXfaXG569zJcc2VySYklk/8z8IFhgLRhxP2Z0EPY7fY///xz6dKllZWVAwcOJAI0gUAgEAiEfyDEA/pMEh0bX5PfN5I7YWf0tMhRWACARPtxhaKXIGAAEEX89jvu6TynS8wzSsubknwlJlswLUlSWGQUfuCDqm0/x2x6v8OD5HVhAD2qiIWFKV9+YeyiW7YG0vilVw8LGnpTLmeySQAQrqEuHxYxcVCyX4GJ0OUsXpj93/dy3RZynKhQKBzGuyaTSaVSWa2dzfC1WCwKhaKHBR2VSpXAuefAOolK7C27nEcGLW7wXK5BLd66koR/RAY0ALz39rRrZ/7iuVwQJGfQInACf543m816vd53G7Va7SoZcxw3bGjk/gNthiqhoUqDwWvupNtYmnGij6uoSqVisczxYLZqwj0XKhIsivgoy161tdYGyXU6X77SfkF2Xhfu519BAIB73/YV9714SHhFC9wwJmJcnzCbzfbAlYk8z5+jyc7eaDQJfeIYBQ1CMPYhfeLZbVtsgbd35DWLIj/z+vSvvimqqLSsXVf231UXLFi82Wprt+OaGg4AEhM0QwaH/fxr+cnclheeGgDg7r3ug4rMO33Z4hAIwfDWW2998sknsqswxnV1dYWFrSZICKHFixcTA2gCgUCQBWPR64QpLAK2g2TH6O8GCCHUXYaBBAKhOyAC9BkmZMRC2P6A4v/Zu+/4Jsr/AeDPc3fJXS5J96aLTih7L9lDhgwZArIEEdyIoH4RBEVUUMCfKE5kKTJlCSIgCCJ7yBKQMkoZbelu9ri73x/BUtJLcknT/Xm/Xrxebe65yxOSXJPPfZ7Px1rE/5cpSSDuySciNmy5a/t13Y89X3/j8L2MR/pTLV1yceZC3zTBWeaa7dMtxji8ywBTm57Zh3dFHFzpZHzWwOmh2xaWvp3nKzpNIz/fLDH6bJNTZNH+1/guT8+vOpS96lB2sJo0mgWCQL4K4un2wQ2T68LH/fLWvl3d0gFohNDlKwXRUTL0X5Y6SZJSSqBSFGUyiUcuOI5jGKaCA9A0ybPmbPH5IMpRwLRA0dxfn+bePRG15YNUeHioo25jGzZd79cnrPzWNLg8sl35F47jHu8ZVTIALZdJPTGm4e46rcPoM8Y4ULgsuinKcqb0jfd8H7dauSD9qWTT78dRC4lzcCRZDZ8BXNv0+/l7+c7ONnvO5s0fHcdbTbagc7VOdnbET0lNXZEZoCJzNA7P3jSFTY/mOAfoDe7e0VHnv/kAACAASURBVI2bmtAQYmD/uPUbb2g01q3bb/bvF9vpsZA9+zIQQtb/ErBpmhw5PHbVD9eLC0N3IbY4XjBgr5COjqyb5O7cAHDk1q1bx445bBFRzN/ff/HixYMHD66AKQEAQLWUuR8ViXydRAhhJPhxPM4jHta682+KQh6ruLkBAMoMvnxWMppRpAX2jc79lSixZJtVPnxeRoze+8n8dm/876jdjh9MPzxlUdccXnwNu5p45CsirVBE9hgsdH8SCUJ+Xp7fZxNK7xKybZHooSjeLPGxlB+Kwm+/1ejjRf+MGx33zbJUu62G2wUI2Tc0y/7vS3KhgZ+/IwPtyHihi1+jpKhFW67czLEghAiMRrb169YysbIKCtc8UVH25WJsVqy6MndOU1vQ2WQyKZVKnc51Tr3zEGHFX05g+SxHm3JRjHg1DYRC6sQh+xesC7TCx70dqrOJE5K++16kZuuWbTefGhrvVg6pW9FqvV7PsqxerxfdqlKpSt91aMgjiypiYiRVrriPGufriFK9XR9SKBQBSORz9n1LVAgSyZ1PyFlhoEIwEjAqayM7Ju8umxBXxoPUeJlZ2T8eEr/yhBBSM8SLvcIigtgalu8sauagEALj9zY/PBMGKMk83cPXoV30WUkTW7emuXsvP6y5OuPNRlarpU3r4OMnsnU669ff/vP8pIa2AHRhoYWhibfeaPjevPMrVz/sq9mwgS8pWBBCglgF9tLoFi9ADQTgRVFRUa1atXK0FWOsUChGjhw5evRopVKkWhcAAIAHrAZkKRTdghEiEXqkyh1XW5aNAlBjQE5o5Ytp3sdI+pW8pV7EI4mfpaPPNp9N+0OBxWMQncJELi1gjDFBBAQF3X5iqsjWR0MkurAE2w+x+79t1PBBeK1fn4prSDhrxsMeZVarMPeD8wxNlI4+I4S2br8tpS3SVwcKXvz2wvVsCy8gXkBWHv1wpGD8kpOfbjyp04nHoYBbOAfFQe/c1ZXs58bzD4eRJMmyj1w8wBgTBEGSpPN4YsXX+9aRDl/8RUxTR5soiipAbrxrBIRophZVjxk8qLGjTX8eypAYISIIgiAIt14SPM/r9Xqapks3JFQqlaLBxODgR56XOhGSnqYCHOd8Yr5EhuiDzLGIv2wwEljrgwggpckVHSOFXFeQAtFnVwRBmLFKvKrDrKExDaIU856O81UItSH6nF1oXnO4YPuZIoSQnEIIIZJAtuhzZIB4LZoe8YwH5+l/rxZc+VfDcdxrrzSx3XLgz3sjRu+1/fzb7ntGE//evPN2e70+6sGFZAvp+gLeXb9urAoqzwBvevHFF484deDAgcmTJ0P0GQAAAAC1GQSgKx/G2Nh0SsmvaUmB+cU/F/d8F7X+vQMNVByNH0b0CCT0CUexTitER7fuoguNdz4rZea14p8/i9lp+2HnrrvO9/Kijxf9Y5fkWlAovq6Z51F8oOe5/CfTTM99eWbrgYvQw7CMBMFhd6qSFSoMBkPxdzCFQmEwGBQKhUKhUKlUGGOGYWwxaOfBR7PZrFQq1Wq1Wq1WqVTlncauUinDjQcdba0T4/TdFDtE+h1l4ZRaVSvG19dR7jj66tt/7C5OOGK7XCElrd6OyWTCGKtUKpVKxTAMwzBO0qLtnpfCIqvosJKsiLZVP3eEZdkwQby1nQ+X4fL4tD5T5FZB8NdkOSyf92DHgoZRZSoeXUsc+ftavk7kKm/DKDbEVz6pZx2tVlsb/nAQBBHsK3+xd2SejkcImR997d/Je/CnmaZw8cVgAqOff7qGPDL/k7MMw3AcR1EOT4ZUiZ63BIEa8IdtP8s5h+X1bSyYiWgx0LOJAeAIQRCUYyWvwQMAAAAA1Fq1KNJRlQUEBmcG9iz+1afEyuv8fGfxC43G2iI6YGLr6AmNA4cnKsek+D7fOjIuOtL53WGMFZM/NvmFS5yeXJv70fRo0U0hwYzth4hwL6dtms0lM2VdiMFutDkSteFkweINp2tDKKH8OPmKZRe8sz21tkIHgiAYDAaDwaDValUqlcFg4DjOYrHYQsyODmg2m3U6nUaj0Wg0Wq2W5z1pWyeRSqVK0q9T8mLBPoR0gp/zkLFCwV6n+0q8L3lUN7fnV809/5zDSqyZWa4LyJIkabFYPHjnKhQKpVJpe/1otVqj0Wg0GjHGEg91M03jcEr/LUzhkNz5WYwlCkUvs2g5Pw2T7HIO9Q2/2d8kCEGmgrox0YGmfLE9EBKEYHNBg0iIPrsmCMKSnbdFN03sEV7z2gw6IQgCz/MyilDIHp7rSq94MVmF4hsjA6g8p59enFu4+MysOSc/mtfG9muL5vb9OK0lyn1MGBtPItcXhGzyU16FaCAAAAAAAAAVDwLQVUV4s/5W/CCYq7a4kWh88Z9bCCGFQhEU4O+jVktctE7JZNQrS4z+ERLvpcOZr0JDmdK3389+UHrpXobbvYbKolePR6Lny5Zfk1KFw7nT6cYXlx61az5Wy3Ecd+Pm7WPHr5w7dy093UVKJkU5/FZv97I0mUwqlUoQBLvbjcaHlbysVqvJZGIYkVddaRaLxYtJ0AzDqFQqlmVVKpXLBbMZuKHLA9ap2yidaONyWLqir1IpqbJwTTJkSEtHmwIDXD/7nsWSlEql0WgsnTQtvSxsXp7D4BqFHySEypDeyXURiqIiBPHySvqAPmF1xK/5PXIEZD+HCE4THRGGEIqJCE+irfISNToIk97PmN/ETxYVBtFnSa5cS7cramxTN4QxGo2OWqTWSIIg2FYGXLkn9Q99oLJMQd7CIkvaLe2bMx68QU6fEamHXmxY8jlHmzhEXo95sfjX+z6tpbyzAAAAAAAAAF4HTQirCoIgCptMCzz7AUKIRFzTxn5nzxdI2fGXnbfatXUdAitNJqfJ174sXDnX9+YZ19PjrF8NuDf4O/ssJEdiY1VpaeWYHXb670e+jgoC6p7E7LlS1kYEhQZ+1qpT859tW8bjOJeZmb1g4ZErVwqtnCCXE716RD41tEF4eEi53qkHtm07+fHi8yXzQeVyYmD/6Jde6CiXi1SGIUmSIDDPi4RsLJZHyqfwPK/Vam2le23NCUWHWa1WW5FoR1URyoNKpSIEY4xhFykYCAl93gjGz+UYjHFIUpe023VidZsdjbkm7xsV67Agcg3GKphGDfwu/CNyupPLCacVLBDyKACtUqmMRqNoprOTAHRW1iMvQq1GvCIQQihW/qBALYE4JwFoBcNQgsjD03K+Pn7BGGMOUc7zOjESSE0epw5ACCGLqYE/Q8sfNgJVKZUNlUpBEGxXejCGbqtu4Hl+xo/iFSQm94rgzLWubQBBEMf+LUQI9Wmi3nVOJP1fSRM608Ok6Agf8cLQEl27rkHIeSGZB+rWVQVyl0U38YjUtXpXpXswWwHhkNajyzIrAIpxHOfGMr1SKIqCNpgAAAAAqG0gAF2FBIeE3/LpHFV0ECGUWJc5a99lR5zF7DpG5ghBEP4T3r1741rYqjcw7+I4IVcP9e0x8dffs6UcuVyjzwih3Fz77LPUk1lI7bCerHTpedZlv/z97BNNvfLdQBAEnhd4nicIW1lj/MeBMzNn/108QKdD6zfeWL/xRmSk8ssljwcG+lWR7ySff7F/7YabdjeazfzGn9M2/pw2a0bjPr1b2k0VYzxoQPTmrbdKH+30mdwGKSKpxCWjz6JsVXrVarVG47DigY3BYCBJ0uUBnSAIgmXZBN06ArtRzyEoPEHKMIxxeHSSgX8zM/WvGP4YtrVwFpCAiSxUX53QO0pWpnhN9YUxbtkiSDQALSX85G4A2lb4xdFWJwGFtesfCUfyAiqdwo8QQkhQki6q0Nqo0R3R2wvZjkEYI4Ty4l8Jvv6p84MwhmwLRnHBfmyAeO81jHEVOaVULy8vOSR6+7guYYK1NrZcxxi3TfbdcCT7N7HoM0KoZPQZIUTpKuh/6aWR4u0ErUhubj+XoShKJhMQwghl1p9WpzZV2AflatGiRZs2bfJ49yNHjpRf3TAAAKjGKAViAkW3CAhxHEcS5MMPtpSklbIAgKoDPv1ULdFthnJ7/yIQN6yjaeM2SbuMGeW6VKhzdeIS+Dk/5/z2Y+DRnzFyFvKZTm/ZK+tosbhdbnX61JSFn14qwxxd++NAZt3+vsUz81MQBQYPk1P2X9G1SUpvlBxTlvkIgnDg4IWZsx/pMDZhXMLyVeJZdXfu6AYM3jyof/Qb03tUesDozp2M0tHnkuZ9dP7bZVd/3jDCLvw3+ummogHoexn60gFomUwmZRm7IAgajUahUNiq/Trahed5lUrF8zzG2Gg0uhWJxhgrlcoYw877fBu3os8GpKalFQmxIQgiIrmTBXUqeaPUZQU1l+D0tONFBEGULPNSmslkIgiidBgaYxwZpUInskreaDbzNG0f/vYlH1a94BFpl9RfTKlUhgm/l75dELB/SKztZx9fvzTfJ2MLtziarY4IiouvL6utly7Kz/GzV+/li+Seh/nJG0bKnTeWrKlsZ1SCxEoZLpLwt3XZCvG/dBij+R+0mf3eSZPJ8+zRkkdrpzqJHj2SgNCtkKHhyW0ojBFCFEWlx0yS5Z6LjIot+z0CYHPr1q2TJ8VbyAIAAPCcYEQW8VXg2Ba6KvlHn6+NH8kAqNYgGaRqwRjj7osz6k9HAYlyuetnJyFe3bhxWQPQCCGCIEL6juXf2Zjz+Au6OvUdRYPk2tyl04MdbHSmvKPPNuNaPwxxlo4+D23tRqBv4c7bXBkWVyKEPl96wC76jBByFH0utvWX9OFPrzOZKvmv6byPxEvTlnQ/2zhq3Ea7ktnBwf6ig7dsu2mX7KNSqRzF5kTZuhTaikc7CtBrtVq9Xq/X693NivVVoCT9WhmvjTLulb6XgJApZrxbdwREObreotO58QqRgmVZ50XebVVfxHZUbvr5ut2Nt9LtS0iTmItnzhb/yiOZo5aGCiz+2TqHr1tyAuHxTTNjXzFg+zIvRqy+FTKOavoKRJ+9rkijnb9FvPfgjMHRtTP6bGMymXwUpJToMysnRF/4cXVVu34Z3vGxhquX9/bKlNq1CaL5RzKytbKw/GazI+q1LflnIjwmKbL9GK/cIwAAAAAAAMAzEICuckiSDIuIikxotOfX0b0fr+N88FtvtPLiXcvk8pDH+qifX0DM3ZY/+XNdqEhtgZQj34WHleNqF5r2/DX57ZfihSBtNp0Q72LUIlqknLGFQ8fOpXo8k5ycvHUbbni27527+n4DfyoqKt8aJs79e7VQyrD0dN3Y8ZtKpouSJJmcLFIKwGLhS7YTpGlap9N5Vj9Rq9XSNM2yrKMBDgojOOSjUsQZtyOECOzefO4q+ygcTwOU3bkLua4HScOyLMuyTopv2JROf5bL5SqVauyEfaUHHz5iV49IaKD4q+TvFDKKVktnWTZK+FN0AnxgB7tb/AOCiGZTcxKmZoSNzvDtnVFnQkG9N3Gz6WGRcc4fC/CAIAgzvj8jetHgiWZqR5cTagme5+PDFI/V820c46I16wtd7K9ERkcpl3/X84eVT/n4qBBCUVHhQUFeKEo+ZcjD60l3VW1zm8yUt5uuUtv/DfJii1oAbD7//HNOMq1W+8033zRs+KBfCxTfAAAAAEDtBAHoqogkSYyxXC6bPbP3rl+e6tUzwtHIesnl0s8dYxwYGaN+ebFu2qqsNkOKbxcQynjitXVrntqxbegrL9Uvj7s2mfikRJ9lX3f5v0Ud4+qq3Nr3XoYhwtc+ezHC18UH/dPp4hltX/6e7XG4YePP0gp4O6DXc888u60s/W3KyGqV+sDTbunWrT9e8paoOuKxibt3H6aLmkwmpdJFCMMJo9Go1+sVCoVKJf4KkR6AVqlUCfoNHszBKlCBkY082BGIcPB8ffPdJZfJ7LbyKVLuREorS4qiit93LMtaOfn0t06MHPO76DsiI9NQ8tc68lQK26ds00hDlCg7K5PJlEplOD4rWuxIx/v4+Ykv1FD7+AVEJAbEtwsIjVGwnr93gHPHz9+4my+Sd0/L8I6/XZShr/EEQfBXyoa1Dz5/yz73387mzWm2H+Lqqqa+mrJz29B1a0bUS44ueWYeOyq+jPPp3SuCVAakBz+Z23iGocOC4OZD1b4iS3BkMlmlV7UCNQ8hjcViOXv2bNu2bSdPnnzx4kWKopKTk48dO+ZB+1wAAAAAgOoOLsJXUXK53Fbr1tdX/e47fd5+y7x2/fFvl10tjogyDLlx7aDy/gir9vNXPzFO6DcWISQIAoFxHYwRQgH+viOHtx82pPUHH+3dvfeed+/0amrRxOcP1K/vu3rFMLPZ8uNPx5avdFG5olizAHTv0eTde4XOVtw7ISCUl58fGOBJhV6JGcROZGYZF//fvumv9yzjcTzj1rf1L766NKB/Y5XqQVAsJsYHoYzSw7785uKMNxt4ZXo2BoMBifWUs8UaXDYkJEmSZVma8zDH9q7fU2HQz8pLourYl5iw8fWVS7kMQzz6RNiqu8hksuIXhkKhkBJ9RgiRJGmrsUBSirET/uA4Z1di8gvMGGPbZSoKW0Jl6aXHRAv7ghShd3E7q9Uqp3Cc8CtGnKO3lzZgoPh/BKgQHMct2JJW+nZGhhVywmTxvMFpzSAIQr8Wge9uSHMyxkdBfPtae4ahbe8LJ5Hf5s1iEfKwNtc7bzfu1bO5lM8/GGOI9IFKIQjCwYMHZ86ceeLECVvpp3bt2s2dO/exxx5j3GkdAQAAAABQY0AAuorCGDMMY+uXJQgCxsTI4W1GjWxHkiTP8xX8hcr2HbL0N0mKoua80+edmfzpM1fmffR3YaHZbOZpOaFQUAWFZS2Uefly4WNdVqxb02/ihM7DhjQfN2H7/Wxn3cNsdm6/hRpFlvGuix06f2dQF08C0IQ38q02b03v1PFq61ZJZT+Uu1iWKipyo/zucy/88tPq4bZXSL8+yd+v+Lf0mJT6j/xPemsxe+nj2EpwkCQpCIKT8CXHcYIgRBl2O6xA7OgeEbrGDI6OKJfFB7VTmzaxCJ0qfbuKpVy+TjiOM5lMxYFgG5PJZDKZGIaxrXSW0pHSdkHCdhCWVY4aJ1Jzw87Sz7rUrRuFEDKbzep7X4mOwQgpUVaSsBWRyHmrRQ3n7yj9GVSMq2kZoi+353pGxIYwREW1yqyyGIb5bu+9PI34nwYCowldg5/o3Nj2q8uk49jYUIWCNBgevjcxRgqGVLBUcCCddd+YnOz78gtN4+KiEUImkykjI5tVMgH+fm6VL4DiG6Di8Tx/8uTJJUuWrF271vY3pUmTJq+++uqYMWOgaj8AAAAAajMIQFdpBEGkp2c8//KevLyH8dynhsYOHtQwKiqkiqwqJQiiVcuUbT+nlLwxNfXWtDcP5eSaynjwEaN2fv1F18aN47b+PCo19dYH849fTXW2DvruHX0d79VFOHBFN6iLJzsmJfocO5Htepwrb719eP+exIp/oidPrPfJ4gulb1erKY1GJKP81i0dx3G2uEBAgK/oMXf8euvpEQk63YO12zqdTqFQ2LKYPcYwjOgRCIIwGAylk6PtCIKAMPFoN2WHeIGwYlkREU1F941WKDycMRBD0yKFkhFCaelal5nsVqtVEASSJG0pZkqlsvhJt13Ak0ihUGg0GqVSiTEmSde57YMGRNuizwghuVyeY6kTJLsr/e5K4yKGlWV3UHYr96aJ3k4SWEYSCKHi01ftZBWIC6Uab9oMbxc0tHvK/dzCTb+f1Rg4pZzo3DwmJMjfyR8vgiC2/Tzsk08PxiX7CSSRmmU+e0OPEOIRykII+ak/mNtFoXiQKErTdGys25eWIc8UVLzMzMwhQ4acOXPG9gfI399/1apV3bp1K0vZMQAAAACAmgEC0FWaXC63iz4jhDZsStuwKU2tls18q2XHjvWrSBjaTmJizLbN0ffu3V+x+uzFi3nptyWtfxf1/Mt/zHtX161bo8TEmJXfx5jNlqysnLRbhX5+THiYr8lk2rHzapHGbLHwVisnCIgMl13KcCN71wmL0wX4TnTuFLd6zXW3dgkOprOz7eP1JhN/+UpaSv26nk3DY337NBENQGs0VoyRaJLgyVOX2rVtjBBykuBj91ot+0sXYyya42w7ssvqDYIguMhKRQghdMt3VEhYHVudB7VH8wTOUZTDJR0KhcLJVQSMMcdxxd0FWZaVWGrDDk3TxfciCILLtGu1inpz+iPlcfKIlCDkeQA60xLnD1c1KhXHcf9miF8xNVt4hJDJZKrEuvyVjmXZWWtvim7q39wnI984bN4jfTV/OpLXLFYx+5l2oud5QRBupmfM+v5ioZ44daJI9LDLt59/aXhrz2bLcdzly9datmzi2e4AeCA1NXXp0qXLli2zXamqU6fOyy+/PGnSpACPKrkBAAAAANQ8EICu6rZvHv1Yl+Wlb9doLP+bddTH59TXX3TzIDOoAmCM69QJnTXjcYQQz/P37+ct+eL4gT8zPTjUrHdPLGLJdm1TEEJyuSwqKjwqKrx46+RJYSUHcxz3xda/j99wI/nRkY6JrGc7JiY67BtJ06TJJJLRWTr6bDPl9T/37qroADRN0x3aBR8+KpLE7Sg0N/vdM3t/a4xsTeFYSqd3XXqb53mCIMoS0xENbRTXrnF5ZJPJZCL8GT7P0QAB4Tu+T4VFRHk8QyCFkzX1zkPBFEVZLBZBENRqNUJIq9V6XNrF9lLEGKvVarOZCwmm7zt4S6qU1I5to+xujKpbD6Xv9eyuLbzcJ66vZ/sCb8nNK3C0qdDAaTS1ugMhQRDHUjU6k/gZ9Zcz4hHkv9MMpy/datkg1u52q9U6Y+mRS64uS5/4t+gl96cqCMLe388fP5kx772B7u8NgNsEQdBoNB999NH8+fNtt6hUqhdeeGHBggVVM0EEAAAAAKCyQBOtqo5lFT+vH+Roa1GR5emxu6dO317FM7MIgggLC/pwXr+D+8bt2Do0OcnH3SNMe/PotWtpUkaSJDllSMuXewS5PctSereJ82xHiqKGDo4V3bRyWVe3DqXTWSvlyZ37bi+3xuv0D6Pqfn7iFRXsUBRVxodGkqRSqSyu8kkQhEwmEwTBVo3BZalQjuNuK3o72pqGWxmSpodEVHT0vxYiCCI8XDz/13kbQFs1fJ1Op9FoNBqNx9Fnk8nEsqxSqTQajWaz+ZmJ++9nm0KCmbemN4iKfOQqVI/u4b/+Mkoms39pEQSRYUn04K45gdSHj4M+aZXu1t37jjbdzTPV8kCSUqn0U3pSu/bYZfv/1Tv3MofO3Ocy+owQoki3/8+1Wt3AwWu++PLC3Dn9a/lTBiqGVqt9++23U1JSbNFnmUw2e/bs8+fPQ/QZAAAAAKA0CEBXA3Xr1vnfm02dDDh+Irtj1xWZmV4oOlzeZDIqIMD3+2+HOBrQpXOIo03PTtovPV7Zvlm9T0Ynyp1+g40NpBaNTfpkVEKAUuSNMLmzv5+v24HyYq++3Fn028fIMb+7e6jU1FseT8NjCgUzd3YLz/bVasVLoHz59cWSv7pVoleURqPR6XQmk4mmaZZlWZa1WCwmk0kmkxWXZXDOScjSN6oNhAUrTJNG/qK3T33jsJNnwYvf8LVarU6ns1qtMpnMdpq5n21csPCf23f0CKEP3mtaL9nnx5U9587p6+jChiqmu7sBcAOvMkROZhQerrQAXnQ7x+HpqFW82ltNU6sjW4fPb/bc82BfX8UjYevTF65NXnxWYm2rqYPda/R67Pj5Xn3X5eaZNm8cCaduUN5yc3NXr14dGxs7f/78u3fv+vv7Dxgw4MaNG++9917dunUh+gwAAAAAUBoEoKuHp4Z26NY13MkAQUCDn9p+4eKNCptSWRAE8cVn7UU3HTh4HyHUu5dICQuLVXh37m/S76VOeOjK1zvMHxkXpBL5LpocKv9gfJvw0JA6EWFfvNh++Sst5zwZ8XhDn+Yxiue7hXz/covOrRtIv6/SKIr6/hv3kp0dMZm8UE7EAz16NB0+zJP8X0cB6IiIh014KIpy3lzOLSaTSa/X2yLOJEnK5XLPagE/ckxzWVtoAum6dI4VvT0nx6j4rziyolSV5PL4kr99R1rpG2fOOftY+/C4OGcRMbmczvIdxQuSpmQVqFTUl4h71knNdFBhBEFYfchhKZ46AZKWdNRULMtOWX7Ns32bJwUX/3zk9NXZq9w4TkpyvMSRPM+//8Fvr79xEiG0ZeMglQq6vYFyt2DBgnHjxuXm5iKEhg4deuLEiS1btkRGVsWCeAAAAAAAVQTUgK42Pv5oUO9+y3NynQXFJr/4x6z/FfTt27zCZuWxZk3rPTs+5/sVV0W3/uYg2er3/RnjxtyJj3fjI350ZMSSFyJycvPPpGafuVFg4hArx8Pa14mNeiTGzTBMckJccoL0A7tWr17ckCdv/LylrPnLBFFpyVxTXulmNu/bsi3N5ciQYLr4Zx9feX6+ufSY3/ffebxnmC3uzDCMlAxlD7AsK71gq5PERsFchFCglyYFXEhKdFgz57kXDn6ztCNCyGq12pIxizfZOkN6EcuyW7aKd1obMth1QzP/gCCd6nnjnd1BxA1HcWgd75sraxsSmRwNKXJVxr5jl0Rvjw2WpWVbqniFq/JmtHiY/U0SKLnugw4NB49f/nijG38Kn+8TKvHdrdcbnp207Va6DiG0cEH76Og6HkwVAHfZOg0ihGiazsjImDBhglu779+/32WVMAAAAACAGgY+/VQbBEFs/XmUaEPCkubN//v2Xe3k5zpVzKw8hjGe8MxjZjP/wxr3Uqve//Doyu+HuXt3QYH+vQL9e7V1d7+ymja1h0y2b92GtLIcJD6+MpvgvTGte+dO/7427S/nwxZ9/PAlVz/Z78gxsYKqQrmkrJakUCjcahfmbD6cSAwdlJPQ0CCGIY1GkaR4rdayZl3q8KF1rVYry7Imk0kQBJ7nlUqlB3nuGGOWZTHGpa9/MAyzdv01o1iPUJomfH3VUo4vl8vlcf1zCvNR9sFg6mHEzcLLUizoQAAAIABJREFU7xON2eDGrFId6u6kQXnief7L3eLdcXs0VC8/kFeb628olcqpK697tu/QtkG2ENu+I5cWb06XvqNKQTzRzVnZsWL37+eOHP2LwcghhMaOiu/WtZlnUwXAYyaT6fDhw5U9CwAAAACAagAC0NUJyyp+/21Uj95rnA9b9UNqXF3fnj1c5+tVLozx85M6mc3c+o3iKYeirqYWFRYW+ZahOnMFe+Wlbhj/sXa9G4+xpPr1fEtXHqhgrVsl794ZOWHStrt3DaIDnhwYHRf3MEr+wuSmR47tKT3Mz+9hlnQ5xXTcKv2pVCoT9WsdbiagNkLFwRgPGhC7boNIqGvEU7G/7Lwz5ulks9ms0+lseZEymcyDDHqMMcMwtsw1lUpV8ggsy3762YVTZ8Qr6b8/x71lJT6+/sh3kJ7jrFYLxpggSIqivNAXFZSDG7fu8A7ORkeu6nxYytbUtBZSKpVz1qd5dqpmZHhY9wYIofTb90Sjz0M7hv56Ikcvdr3n62ltpVyqPHsu9cVX/rT9nJzs89oUhx1lAfC6li1bjhgxwuPdoUg0AABUMBPHF5mlln8kMfKnKYnnaisv3Cw0WDhJC+YwQn6Ihy+ZJW3443pekdSKo33aRMeEScoKAlUTBKCrmYAAv3U/9hsxeqftV4rCVqvIt8M5c08lJwVHR4tUUq5SMMavvty1fduwKdOOSt9rz97Lw4a2Kb9ZeRfG+OUXu7ZoFjL9f8fd3TeyDvvtV0+Wx6zcpVYrN/w0Misrd/Wav7dueySaMO/dFl27Nin5FzouLpIkMVeq09T1G0XFlTfK49sXxtitxoYh1rPOJgEB6Io1bkzz0gHoubObzJ57DiG0e096h/YBCCFbPQSz2ZP8dKVSKRq2Zll2+lvHMjId5lN36NDYg7sjSRKaoVV9y/Y4TM69dNfUvp5v7SzBYYs+F+o9rNT/6XONKIoyGo0vLTkvOmDToSzR27+Z2szfz/UF5m3bTy5Y+ODIFIV/WDHSs3kC4Jnx48ePHz++smcBAABAKgsv5JukphTICexPSw2UcYKQXmQ0Sg5A11diGXw/KOH3k7dvZkpdwdwkIRAC0NUaBKCrn6Sk2DnvtHjv/dMIIdHos82I0bt27Rju66OqwKl5AmPcqlXKH3vjBw1ZX1gk3rzOTnq6GzUWqgKMcfv2Df/Ym/TspC03bjpM21zyaafEhJDbtzNu39EHBzPRUSEhIVUoaRJjHBYW9Oa0nm9OQwghg8Egl8tF42sY48AA+n62SCz4nfdOvv1mQ47jPAsgOucovCiKpmm1xVlaOiWHTlYVytfXJ7IOe+fugyiwn58sOIixRZ8RQvsP3uvUMbgsjStLpjxTFGUyPaynf/5CnpPo87uzm0K2Wk3FcdyVe846KwxvH1xO1eqrMqVS+e6GWx5Hn98cEBYeGiwIwocrTzrKLhe1+PmUyDouStQIgvD2rJ0H/4tfY4x27xwF5XQBAAAAAACo4rzcwQlUjIH92z4zNsnlsFdf+7W6FK+kafrXX8a89kpDmcx1oIevJg/KDk3Lf1w1/IcVPeLj7K/aYYxmzWjeskWir69vw4b1+vRu3rJFSpWKPpemUChIkrSFkktnCD43oZ7oXrk5RlukwGw2q1TevDrCMIwgCGq12mWsUK1WkyRJEASJHAaeeIFQ+fh5cXpAiu++7mf7YVD/SI3Gmnrt4aWm9HStXC4vy8HNZjPGGGOsUqlIkrRYHlzuUqlUCxaedbSXSkX16AaFZWuswiJnweUmMUqDQbzuUA2mVCrf33SrQOdh4ZHmsYr2LRoghG7dyTp9TSdxL4zQN1ObJCdEOx9mtXIvvrqlZPR528+D/f19PZsqAAAAAAAAoMJAzkh19erLPTMzdb/tuYsQSkpUX00VSQpOvab5++zV5s2SK3x2nsAYPzWszZDBLf88dGX+J6c1GofZ0O3bVWZTvjKKj4/5YWWM0WhMS8s6dSZDqzU3ahTSolkswzCVPTXXTCbzzl8vHD1+Ty4jGIY8fyHv7r0H0ZnoKLZv79ghg5sqlQqEUNOmkQiJBPWio1XFBVW9e3WEJEm9Xi8IglKpNBqNTlJlOY4LkhfqqXDsOPExm2rkR8D1uYrm6+uzdEnHo8fu/PiTSHI6z5cpDbn4mkfJhFaGYZ574aCjXTBGP67sT8AroeYqmQhf2oTu4bUt/Zll2XmbbuVqPIw+1w2Rzxr3oNvvovVXJO6lpIkvX28VFOjvfJjJZJ7w3JabaQ+fkZ9W942MDPdsqgAAAAAAAICKBAHoauyD9wdqNJsOH70vGn22eW3a4T/3V48AtA1Jkl27NOjSOSU7O2/rtoubtqRptY98E+7WJax9u+r0iEQxDFOvXky9ejGVPRE3XLp087kX9jsKGqff1n/93aWvv7vUs3vE2//rXsfBMurzF3KLu8B5l9VqtUW0dTody7IEQeh0OtEYN0mSvJVkuPuODsUjzER19voMgRRNGie89Ooh0U1rN1wb+mRkWQry2gUTSZL840CmVit+rYsg0Ma1A0NCAjy+O1D1Ob+6UNuqPzMM8/muezmeRp8RQu+NbWb7L9UbjDcyJVXk79HEJ5KVffrZUVZBdusS07ZtsugqFqPJNGjI+qISdbq+Xto1Obmux1MFAAAAAAAAVCQIQFdjGOMl/zd0zLg1l64UOhpjtQpXrlyrVy+hIidWdhjjkJDASc91fm5iJ5PJfONG5p27eQpW3rRxjEqlhHqsFc9kMk18fr+UkXv33dt/4Mdvlnae916zWXP+ttsqCOjgnxmtWvoKguDd57FkrFmv12OMWZbled5uBT3GmOK1Riok0rDH0aFuq4eFKVgvzg1IRxBEk8b+587nl96067f0saOSvJiRajASy1eJJ2kSBNr682CXKZmgugtwXL2BpYni5Rq1AUVRv/5dcCPLjT6udoa2DfBRPyisdCn1nsvxT3cO3LH++sYTd4tv2bnrjkJxbOH8ds0eXbml0Wj7DthQsrHtxx+1ad0qxeOpAgAkqi6l/ARBqC5Tda5mPAqbmvFYasajsKkej8XNOUp/UO4+eAEhJPHgZfh/rR5PiisV/CjcuTu3J1YznpGqDALQ1RvG+IdVowYOXlncuau0F1/5a9+e+GoatMUYMwydkhKTklKdkoVrnvfe3yt9MMcJE58/sHB+C9Gt3yy71KljN73e4SvWM1arVSaTFRf2FQTBlmetUqlKpkKzLBtq/iNL1lrB5zg6VGBoNa7xUgM80TdWNACNELpxoygkxAsFMTDGPC9/6VWHxTd+WNELos+1gZMcZxVDeT0AbbswZvfnuCpU+WAY5vh13b4LBS5H9mqo2nNRZMKBanJU76bFvxKEs48cs0dETH395NISoediBgP30pS/vvkSN2r4oNEFx3FPDHok+jxnVtMe3Vu6nCoAoCx4nrdYLIWFDnNcqoLic7hGo6mm33RKMhgMzgtDVX3Fz4hOp6vuzwjHcYIgVPG3gHRV/+1so7BYpLd8MZlMRskPyoQIhGQSB/M8V1hYKPEVbOERL7ixZq74a2lRUZH0vaomnudNJlPxF3DPcO6sONTpdNJfySaT2a2Z6PV6o9HzVIzyZptbdV+gCQHoag9jvGXT2EFDVt+9Jx7RM5q4nzefHDqkdQVPDNQkxU2fpJv+v9OONl25WhgdKdNqtSqVylvBF4yx6BVLrVZri/jY4tGCINyluybq1zk6jiAgmUzqpxNQHjp1TPpgvn3uvM1X3/4zZ1ajMh4fY5ybK7w102H0+ZWX6tetCxchaoWraZmONs0cEu3FsxPDMAYL+n5/5vXMjJKbZCRe9EwCLwh6ByWDKoBSpVr8y+30bElRD9Hos5zEX0/pUDLW0CCxDkb/2j0eXyU5tKXPooUXp4qFnkv6+puLSz9PQgjxPD92/CaL5eGRXn25wcABHaRMFQBQdtUlhmhrMlzZsyirmvEobGrAY7HNv7o/imLV5Rlxa4rYnScII+xWOiwh/cgYWXne4rD9kN00kICI/3asBs+IFGV9IBYOmaT99yGEeXeedDfnVcXfJlV5btJBALomIEny5w2jBw1Znelg8ezizy507pQQHAzFTIGHvBsY+eCjM2tWdddqtVarlSAIr1zH4zhOrVZrNCL10PV6vUwmk8vlZrPZYrEkcdudHMeCFGWfDCgLknT4h8lg5BxdaZCIoqgr/2oXLBTpkGkTHq4Y8VQ7j48PqpFL126/89M10U0TuoeVpVS9XC7nMaUxcFZOMFn4Y1eLjl7NEB1p4YRXv09VM8Q7QyJJkqj4tAuVSjVt1XUr5/l7Skbi76a0srtuR9PyH2a2W7Lpwq0sE0Io2JeKlnFrfrq58A9Jx/z7XH5hYZGvr8+XX/9Zsuvg2FGJz4zt4vFUAQDSEQQhk8l8fHwqeyLO5Ofn2z5DqtXqat0xWBCEvLw8hmGqRU9yJwwGg22NI8uy1T2fQ6vVchxXxd8CUuTm5iKEKIpSq9WVPRcJtDJkcD3KRk7TcslPkM7KF+ik5sMSBKlWsxKjfWaOxwUWAUn9PosxtpWGUKvV1TqkKAhCQUEBTdMsW6balRgTvOQvdyzLSn9XyuXS8+kRQkihUNA07dYuFcn2cKr1HzsEAegaQy6X/bxhVN8BqwsLxVdATHpx1+YNT1frcxyoRBh7MwbN84JOZ0UIGY1GLyZBO4lLWiwWiqKUSqUgCATnbFn9DaIjtLWqXAaDeAwuIIBe+llH0WsMEtE0vfPXO+s3XXcyZvXyQXCerA3Sbme+/cNV0U1BalmDOoxnsWCGYXK1/KJf7+VpJZXvYGTYaBEi/GW7zxX2bxVUeoBCoTAajeWRHE3T9PX7lq82iIfgJQr2oZa+0k70872/v++c5x5DCF25kjZh0j53j7z/j6vduib9tO7hu7V/v6jXpvQqy2wBAO6qyn8Q7U6MVXmqLhU/lmr9KOzUjMdSMx6FTbV4LIL7KavlMxG30qs9n0O1eFIcqawTlzt35/bEqvUzUi1AALrmUCiYX7eP7dj1e9F00qws4/Ub9xLi61T4vEBNEB+nunbdm4VKCQJxHEIIGQwGmqa9VfPOeT61wWBweYU2Mr6sFR5AGf3zj3j7MpOJs2sp6RaWZb/8+p/DR50Vk1n6WWelEvpP1nwWi2Xqsn8cbZ05NEavc/t0p1KpNh/POXb1vsnixpIOo0VACP2bYRrbNaJ0zrVKpULl0A6FJEkrkr+7MV1rlLrgUVTjaMXsZ9pQJOlkzKJP9/28Jc2Dg584lfXb7lvFv7ZpHfzu7P4eHAcAAAAAAABQFVTv/G1gR6FgDh98ztHWpV+dqsjJgJrkjdebuhyDMWJZqde0vvzmH9sFRo7jkJcuNgqC4CT6zHEcSZI0l+vkCBoUWN0XDNYABCn+YtDprHK5J6uiCIJQKlXjnzvgPPo8a0bTpk3jPTg+qHbGffKXaEx3TOfQT8bFuxt9xhirVKopy68d/KfArehzSYt+uU1RD8+ftmOicmhRqFKpdpzVzlp7s4zR59nDot+b0M5J9NloNA0ausaz6DNCKDBAduGfB00R27UN/vLzYZCTAgAAAAAAQPUFAeiahqblf+5/hqJEvqedPZtX8fMBNUOjRsmONg18ItL2A0litUpq9PbU6eziUK/JZPJKuSXnxxEEgabpCKPD1nMCQihubNmnUQXxPH/7XtbBU5d+2n9h7/F/zl25brFKqg9QKfz9HeYgHznmsGWcHVsTCZJUkCSz8NPLT4/93Wx2Fhmc/0Gbvn1aQISrNvjr1BW9SeTFMLF7WIMIymxwWPpZLpezLKtWq1UqlUqlomlaoVAolco7BejtNTc8ng+BUZf6yj5NA6xWK0KIJEmlUnX+LofKJ/o8dcW1vy6Ldw/3YyV9JvRniQ0zOzZvmOjk/aLTGbr1+vH+fc9LWnfuFGb7YcATUV98BtFnAAAAAAAAqjcowVEDqVTKfbvHDRi8xq4edLeu4ZU1JVADfPJRmzdmHC99+7Ydd2w/WK1C1n0PKyTIZLKyd9+yWq0KhQJj7ORQbZ/3+eid+F6Rx0pvui3rHFqF2w54RhCEw+dSN5y3i6mZ0YkLjULJUZ0SWUWVa7oYEy1SCdemQUqASkXrdDpbUYLiVsUEQf+49mqzJkGXruQnJvg2ahB4+kz21dSCfX/clXKP/7eofetW9b01f1CVabS6hb+IvCoIjBpGK0UbD2KMFQrFkatFm49lMjJCZ+KHtPKNDJSvPJg7uLXvj38VWMrQwQ8hxAvowGXdJ2PDzEadSqX6YtddksDP9/Ly32uMsYxmp6++zjuY7Piuob3axI+cf8TJQUJ8qLeGxMfHRjq/L6PR9Hi/teL3Mi5+zdqbzq8G2ahVLEJo9NMJr7/2uMvBAAAAAAAAgCoOAtA1k1qt/HX72Pc/2KXTWTMyDVZO6NIp4tnx7St7XqAaa9++Qf16Vy5fEU+d84BcLjebpTYjlshkMuVZZdcvaFPq+ysYwVoiz1cul3/2xXmE0Iz3r29qnrzwuWwf4pE1AWxITQtBWiyWr3ZfupYnHuu5kMXN2HhlUvugBglRFTwx51jWYUz81al/RUWqPprXVqvVsiy75/c7//5bYDRyf5/LQQjt2y8p3Gzni886Nm+W5Pl0ayKe5/Py8nJycmw1bdRqdXBwMMMwlT0vL3j/h79Fb+cF9OXujAmd/W1FgWwoiiJl9MnUoq0nb5osAkJIZ+IRQrsvaLRGHiG04mB+2acUrCbfeSrOarWyLDtl+bVQX9nMobH5WgtDem2ZAkEQeQbyk/Xi7TejAmVznm4YFBSAEKIpbLKKhKiTwujJferGx7puI2EymR7v9xPvIM4dEe47838t5sw96fI4EyYdfH5SyqSJXV2OBAAAAECZ8Fbh5h7pw3Hc4wg76wBRBiQixCNUAkJIQI8siMKwmr/WOX0+8/KVbImDc/L05ToZ4AEIQNdYCgUz993+T4/5qUnjwAnPtPT3963sGYHqDWP85ef9hwzfmJfnnYaB5cFsNvtRfLu2YRcu52zdnDbjzebHT2SGhSkTE/w+XHD6wsUHEefTZ/K6v0Qufrdlx9CHhdFppkZ1n+N5ft6Wf/KNznIzBYS+OZIzURAaJ0ZX2MRcIggiKdHnampR6U1Wq3AzTfP02N/btws9cyZHbyhrhG7pki7NoO5zCffv38/JybHreldUVFRUVMSybN26dStrYl6RnZN3NdPh6Ss1Q0/T4TzPcRyHMZbL5ct+z7iQLpITbYs+SxQZILuTZ3G0FSNksgrZReZgH/mr36cufiaBIvHFdG1sCGO1eCcATVHUvUL02c7bpTeRBJo3Orl+/MOM5m9ebbn818t//avlBaSiicRwumez0Gb16iikXX7geX7wsA0WB4WwCQI3ahhoNkuqPf3mtMYjhneUMhIAAAAAZcJzwo1d0ofjur1QOVXGwgLC4l9e8IN/djeB2uXMuYzUm1LryiaHqst1MsADEICuySiKWrdm9PMvbug3cFPDBn4fzO0SHBxY2ZMC1RhN05vWDes3YK2hbN2rbMqppqfVarVatSmJvobnmv2bmv3lN5dEh/E8em32rfi4uivfymVR0X0h3lcuL4/5VJZvd19wHn0utuxo7kd1gpRsFYq/t24ZLBqAtuF54a/DUotBO0IQaM2qfjExYWU8To3BcdyVK1ecDNDr9bm5uYGB1fiPyFe/OHuAgoCmrrxOYKRWkEqauJfvMGosRcNI5sl24Q0TI2laPnfl0TM3xVMwBISKDPz6vzKvZpg+fSbu9A3NuTTtM93CrGYTlsksljLNASGkVCp/OnT/xDVN6U2JofRHk9qW7HyIEPLz9Xl9ZJupgiAIAkG4nVi0cPG+/AKH61pWr+jGcZxMRsgobBHLsy72wXst+/Rp4+69AwAAAAAAAKosWLZQwxEE8c1XwwcNiLr4T8HAIVtfemWLbUk1AJ5hGHrn9pHuxyVElMyy1Gg03l3gbzKZfBgy1Sd0xIfdJ01MdDTs+g1tx8n0CV03IbxGLfQuLCy6lO3GO/2L3VfLbzIe6NfXYdNLr4iKZA/8/gxEn4vl5uY6jz7bZGaWNe5fiTiOO5Pmukg9L6BCPedx9PnjMXFb3u225d1u857r0KJhHE3LrVaro+hzMQuH/29CAkEQLePVE3tEWDmkUCjKGH0mCEKlUr224rpo9LlnI/XHL3Swiz4Xwxh7EH3OzMzeuj3d0Va1WibwnNlsNhqtzqPPSz7t0Lt3a3fvHQAAAAAAAFCVQQC65sMYz541YNyYRITQ3+fyHuuy4o+D5+xWWAMgHcPQf+4fnxDn5SUtjkIhHkvxRQRCHML5cTEvfty5UUN/RyNfeP2Cj2+Ad++9cq09kubW+LsaQW/wsIFkeYiODlMoyqm0HPq/he3W/zSSosrr+NXO9evXq3VkWSJDmducOpcQJt88p2tSQt3i3pg2/1xzXZr8hccjBAHlFFm2nsiZsjx11tobJlOZKh1RFHUtW5iy/Jro1mn967w0tLXX16BMmfa7k62vT2mCELJYycwsZ+H4Fct6PdahaTmtjwEAAAAAAABUFghA1xZTXun18gsNbD/PfOfUk8N+yrqfW7lTAtUXQRCrVz61ennPOhEO+8W5VLJlHEVRXs/N12q1/SO4JDVCCGVbZfWebjHjk/aRkSKFJpKTfDxI96vKruW5XSPlr3M3ymMmnsEYf/5pZ68ftlnTgB1bh7RuneL1I1dfd+7cMZZzZLbGU9LE/DEJC1/oKHoa+eEPkeLLdhZsvTV1xbX3N9068E8BQmhIm+CypD/LZLLTaabv92WU3sTI8NLnG3ZsWc/jgzui1epv33YYWSYIXL+ev0wmu3IlX6cTr22NMdq4tn+Txg4XrAAAAAAAAACqrxoVcwHOTRjfZdaMFraf7983Pjl064JP9kBFDuCxhIToDWtHfvdV9+QkH0djgoJoR5tKNi4mCEKv936bWoPBkFKi++Y1C9vuxXZTpja0Gzb/gxpVfwMhZHG/Rvf+mw4rt1aKlJS6kyZ6LUw2aED0jq1Dli55MiDAz1vHrAFyc3MLCwsrexYVREbJvH5MjNCknuE//K9zvYQY0QEcx11z3PawWK7m4Ts2JZJtFc96vEqJpun9l3Qbjoj0B++QrFwzo3Od8FDPjuxcYaHWydYFH7ZFCFksltatQv/v8/OlBxAE/mXL0Pj4KtQNFQAAAAAAAOBF0ISwdhn8ZNuQYPbV1w/Zft32y+3TZ9avWT1UJvP+N3NQG2CMGzSIXbEs1mw2GwzG/Hw9q5T7qJUkSXAcR1HU1dR7EyfvFd23a+cIs9lsS/Qzm81qtVqjEalVWkalao3ie8Fhr89VLp593Pb7B3NbhYYGef1+K5eT2FWTMPJcpkh8Wl/Wbmfe98zYDhFhynfnnfb4CC1bBPbrE9e1Sz15zeow6RUWi6U2VN4oRtPyTvVUf15xFid1y6Qeod3bJNFOX1ruxpHVCnJi91CDp/VwGIbZcDT3eKrIiXRQK/9x/ZqVX2mL2e8ddLQpMICOilQhhGQy2czZx7Va+wxopZLa9ctolUpZTnMDAAAAQKWx6pH0j0OCFxrdAyk4XtCbxRellYYxUsop6R8ji/Rm6Z+BoTJsrQIB6Frnscca/7o9rO+AjbZf79zVd+v1w/o1/SIiyiUrCtQScrlcLpf7+j5MhbZd1YgId5hwajLz1hLLzMupLnmOWPbhbUr94sedV875639vNu7apXF53G/loghkFVvbgBESjT7bvLP+7OuP1/X383U0oOL16tW0a9eGv+46vWDhRUdjlEpq6qsprVslsCyTl1d0Kz2HZem6sSE+PqoaVlnFu65dEy8Q7IRC4XnJnarg5SHND334Z1nONBF+1ICW/u2bxqlVSimfwkmSrBfBXLkntchJiK/Ms4ooGGOWZb/47d61DJHg9fM9Qx/v0KD8os9ZWTmXrxQ52vrFZx01Go1MJruaWnT9RlFSos+015rqDdzU6YcRQm1aBX2xZChJQk12AAAAoAYS/v0emXKkjvYJL8+5gIdu5+s/3fOvxME0RXwwuLGMlPpJ8uUvjhTqpC6uVUkcB2oECEDXRmFhIYcPPtun/+qiIgtCiOOEoSN2fPV5xyZNkip7aqCm8fPzCQqkc3JFwsDjJ/6x9oceWu2DhEStVqtSqYp/9QqCIE46KHWebZXN/Lh91xr6mvdlcK5eJMzmPPJWaBLmbL/xetfQ2KiIcpqYB2QyauCANgMHtDl37srrbx4zm3mOExBCcjnR5/E6r73ahaYfpqCyrCIyEq6luabX6z2ovxQbG1sOc6k4crlswdjEN1elOhlDYNS7ie+oXvWVSiVCSBCEssRtMcYfTGw78sOD5lJrMUSN7xpGIAvH2V8lIkmSZdmSa0Qwxkql0mQRbucY07KNl+/or2WKFH1GCL0/PLpRSnkVVuY4btn3h1b9eF10q6+P/OulnWxndYvF0qhh8NofephMJpqWz/3wKEJo/NjEV17uVU5zAwAAAAAAAFQdEICupRQKZv+eia9M+fno8fu2W1545dB77xh69mxSuRMDNc+UV5q88+4J0U2rfrg8fFhdq/XB8h+9Xs8wjLdaohEEwbAs57jXZg1Ojh3RVL30iMOEROcW/5H1v8flEVWvLEmTJvX27fZ+87TaKS0tzd1d1Gp1DcgoT4qLXv926N+X049cKUi7bygy8EUGDiEU7ENFB9HDOoQnxkWXjDiXPWuYJEmJ0WeE0Ky1aQvGxLEMIfCcrRCHLbXZ9j9PEATP87bQ8+ErhRuOuMhhl5FoyaRG4WEhZXwIogwGw5qfTixf5XAO48cmd+saXvKaolarJUnSaCSemfg7Qmjh/PbdujUrj7kBAAAAAAAAqhoIQNdeBEEs/XzYl1//vmz5g8UXc94/xbKyDh1SKndioIbp3q3R/y05l5snkgT92567Tw1LROhBAJrneZnMkxXoFEXZotgYY4IgZDKUA6c9AAAgAElEQVQZIqkLBeim4+gzQihQzbp7R9VFckI8PvK3x5UGPt5ze9GoALL6RxuBqMLCQg8q3kRFRZXHZCoeTdNtmya2bfrwljKmOTsnCIKSJnQmqfnmb/1wAyEUoKJmDYkiSXLv+fwdpzLaJvo83SmUZVmE0N5z+TtOiyc7lxQfIv/wuTbOS1R7Jj+/6Ovvjv6y446jAUFBzKefdDCbDSVP5gRB0LRi7frUnbvSEUJbNg6MiYn0+twAAAAAAAAAVRMEoGu7F5/v0aFd9PjnHrSJe2PG0W+Wyhs1SqjcWYEa5vtvew8auk100+QX/1y9vFtxllxxNrRbbKVpb+mEXBPSWFC+GXESwmvRwQ7rU9cA07qHL9znOkolihfQkbNXOzaHdOOa6c4dh6FDR0JDQ8svRFvpyvWhYYyHdwhdvt+9N2Oe1jp99U3+v/PYsdSipzoE7zidu/9CgZTdpw+M7tAsweuPS6vVz/tw/59/ZTkaMHVK49YtQ8xms9Gos92CMWYYhiCIk6eyP11yBCGkZMkd20b5+qq9OzcAAAAAAABAVQYJbgA1aZL06/bhxcmOk186ePXqzUqdEahpQkKC5r3XXHSTxcJv2nyjOFDiWSsqnU7HC8KpXHRTi3JMkqLPCCFaLvPgvqqLqIjQXgmeJz9uvCjSygzUAB6sMJDL5UFBVa4kSzXyRMd6reLdW2/RJFbFP3oe+2xHemKw689sHesp18147LHmid6NPguCsHbd0cf7rXUSfX5zWtMG9ZVardZsftB2hmGYo8fzx4z/Y8q0w58uOY8QatokYP/eiRB9BgAAAAAAoLaBADRACKGwsKAjf04KDWFsvz4zcf/167cqd0qghunapamjTddvFBXXlvUsaMLzvAe7ycthcXrVgTHu1y5lYD3a4yN4lo0OqriCAkkptCUlJMCamDIhCGLm2Hab53STOP6doTEjH7Mv3Gy0CEnR/s8/7rBBaLgf9eObbaeNbMswnr/rRZ0/f7Vj1+Wff3nJeeGWXbvTGYYp/lWpVG7Zlv79iiuCgLKzjQihoYNjvv92hEwGa+8AAAAAAACodeBrAHhALpft2vHs69N/PvBnJkJozPjfl37WMS9fZ7VYlWo2IS4sMNAXvjcCj2GMExPUqdc0pTcZDA8DnSaTqbigs7tozJsEqRfVElhLDS4pYIMx7t46pUVy0aLfbhSaxENHoSqcpRXfdCP9blJcTHlOEFQCjUbkPehEgwYNymkmtY3RKGlVAcYoLdv40yH7ROPeTXxkJPH17nuie03sFvJE50ZlnWIpeXkFT4/dXlRkkTK4XrK/xWJBCNE0XVjIPffCvpJbFy1o17Wr+DoYAAAAAHiZWSfcOogQUuj1goAoihRoL1+frl4EhKR/8avp3xERQohASCm53w+J8O6/7yH0yHdGQUBGo4GiKJnMflWxB81mJGJoMtiPcT0OIYQQURueyOoG4ongEYsXDtm85ei8j84ghF6acshua2Cg/MkBMb161gsPD/SsVAKozV59uekrr9m/qBBC/14tUCgUtjLQZrOZZVmJAWiCIHj+QWsvg8HwWAi9z+HqcDtC58RQiUOrOz9fn/eHN3119d+iWx1FnxFkQNdQMpmsuEKCcxjjlBToSes1thaCLskp3CrBZ8+5vKyCB2FfkkBJ4YoGsf5f7b4rusuMwTFtmngzS10QhIKCoi+/PrZzl3i58J7dI58dX//2be3a9alnz+f4+zML57cTBDPGmOPkk1/6y2DgigezLLluzaDIOmFenCEAAAAAnLHohMubEUKK/25wFhEk5Uhew7/aC4Jg4qR2hEYIuxWwro6sHJ9d4EbFxS33tVZeali53OLPSK8zZ2VpJQ72j6zJDZ+qKQhAA3uDn2zXpHHkyDG/WK32Z47cXPOyFanLVqQihDp3DJ3wTJOEhMgan0YKvKVxoziERALQCKE7d3R+//2BkPiKIgjCImPVMsxbLVarlaKoDKPEq7hC/xi5j7p2FSH1o3GBgyRoR9RK96rWgmohMDBQp9O5HObn5xcR4bDaA/DM443Vu887y0BXyImPRtXV6XRvDIzecSo3JYpNDGeRwJut6M3V10V3+fTZ+nWjvfZM5ecXbt1+ceOm6wWF4lnP/n70l593NJlMgiAEBtJvTm+WflsbFirnOAtF0e/NO3X9RlHJ8Z06hi5c8CRF1fCvtQAAAAAAAADnIAANRMTHR/25f8LzL20+fyHf0ZiDh7IOHtrDMOTwofFjRrdkWYWjkQDYyGRUsyYBf5/LK71p5pzjq77vptVqKYoym80KhcJgcHFJlud5XxnafFvAiPKRUTorKnXFRASD+ZENA/18fTx7CNXX4IbM8tPu9RWMCLOvQgtqAJVKhTF2sjKOoqiEhARY41IenhvY/NSNv3K1nKMB80fH2daCmAy6Xg0VgsAb9DpSpnjrxxui47+f0jwwwL/sE7NYLPv2X1q2/J97GQ7PEhij6VObNm7kp9VqGYbhed52lToinMGY+GTxhQsX7c/tH81r26tnc7hKDQAAAAAAAIAANBDHMMyKZSPXrT/0yeILToYZjdyqH6+u+vFqbIxq0cddw8MhYgWcGf5U8t/njpa+3Wzmc3KNQYEqjuMoiuI4znmMzEar1XYMVh3KRg5y9R7hR3H9k/yDvBGsqY6apCSj02elj5cRCEKQNRLGuF69ev/++29x+ZpiDMNER0eXruMGvIWiqBBfylEAunsjv5LJ6Q9OgKR49JnAaNX0dmpVWZcp6PX6+Z8c3Lf/npPTLUGgb5Z2VigIg8FgNBptNx46nPX1t/+0aB508Z98k8n+EcllxLbNw0JDg8o4PQAAAAAAAEDNAAFo4BDGeOSITs2b1Xl67G8u6/ik3dIOGf6Ln5/86y96REWFQcYTEIUdV9P6ZNHZd99pcj/bmptratLYX6lU2jIBnQuihb4RWEHhTINwONvZyDEtoymq9p7xMMavdQn9vwNSi2S/3BkKttZYBEHUr18fIWQ0GjUajVKplFieGJSRVqe/fNckuinYRzawdXDJFpFKpZIT0LSVIpU3VDSxfHoHuVzu8UwEQbhzJ2vqG/vv3XOxMGLc6OTHe0XqdDrbohSaphEix07Yb/tUcPpMTuldUur7/bhqlMdzAwAAAAAAANQ8tTccAyRKTo4/9tekp0auuZXuumxoQYF5xOhf4+NUS5f09fGpXTV2gRSNGtVxtCn9tlahUMTG4FOnrzZvJjVvTqfT0TSNkDyAtMgJmdlBbwk55mtz9NkmLjpiaCPtpguu38jNwqm6UeEVMKWazWq1WiwWhBBJkmWJFZYfhmEYRmojaVBGPM8/s0hk/QdCSEbid4bFFl9ywxirVKrpq66ZxeoKRQfJP32xvccLFHieP3kqddacYzqdiy6jiYm+773TSq/X2fKy5XK53oBefemwweBsx0UL2nbt2sKzuQEAAAAAAABqqtoekQFSyGSyzRvHrdtw5JNFkpbwX7+h7f3Ehr59Iqe91lmhgOgGeEitVhIEKrX0/4Gt29N69Qjp3DFKr7fKZIJMJrPF71wSBAGRcgI7TNQPo6V3Pa7JOjVL8mFvrTyR56SJcUowOa57gwqcVE2j0WhycnL0er3d7UqlMiYmBlaH1Fqzlh21Oij+PH90nC33maZpuVxeoLPM+umGaPR5RIfAEb2aejYBjuP27LnwwYIzvNMm5hRFjH46sXevaKvVqtNpEUJyudxowm/NPJGZ6Sxd2sdHtu7HQWFQOx4AAAAAwBv0Fs5slfo1lqYIhaz6VVBU0pS/ipY4GFscdlIB1QIEoIEkGOORwzt07pg4fNQWl2lTNr/uurN7z08ff9S+Xdt65T09UF2QJDmof8zmbbdEt/6yM23QgFiG4a9d10SEkxRFMQxTXHLUEZPJpBVkf2Q5C6kkBsCFkAeaJsd8GBWy/fj1I7ftg/syAo1rE9Q4MapSJlYVGI3G/Px8k8lktVppmlYqlf7+/tJDxoWFhXfv3nVUu1yn0126dAlj7O/vHxYGdYpql7W7z166K34qY2RYRhFmgmBZ9uZ9493cgo1HRcoJySm0ZHKTsBBPqirzPL9r17lPFp81W5x9hwkLY2f+r7mfL2U2m20BcaVSuXvvnU2br7v8u9+xQ8gnCwbJ5VBAHAAAAADAO47czLuQWSRxcJMIn24JweU6n/KgLTLm5rpeoWuj8pEaqgZVEwSggRsiIkL++H/27jw+rqruH/g5d501kz3N2qZtukWoFCiy72ABKcqm7LI8KgqKAlVUpPggS6UIPvjg8ygqPij82ASkoGWrrC17oXvTNHuzZ/a5c5fz++PQcUgmk5kkk5lJPu8/+krvnLlzJrNk5nO/93vWX7Hm7n889sTe+O23/uwQj0f97vffGDbeNNkPbnxjbv1HD/7vl3PzDHSYepdcfNBoAfRpX6z78c0bV55Z397mXdDQEAgEVDWlvzFjHhPZNRA5cG66M522HA77V4//3Nm6MeQP7GrvD0W0Uo9rfnWJ0+mYmakoY6ylpSV+/TdCiKZpPp+vq6vL4XDU19ePuYddu3alUrDPGBsYGBgYGGhsRJn5TLFrT9ujb/aPdukh85xPbexVZbq1rb+1L3GH6GMXu6455+Bx9BFijL3wzw/vXPNhdLT+RIS4XfJPbjp4dp07Eonouh6JGIIgOBwOSum6F1r/7y+7xryV21YfumLF8nTnBgAAAAAAMwcCaEiPJEk/WnX6qSdvu/KbL8c23nLru8uXV/zxd8ffftcHO3YODbvKnubAcSf9+U+/P7GhYc6UzhVyUllZcVmZ2tubIGd5/Mk9hJDGxc5lny/mW4LBoMPhGNnNYJgqm0WIkGRAf3Qm5qrJybJUVlxYVlyY7Ylkmd/vb21tTTIgFApt3bp1yZIlScZs3bo13dvdvn37okU4O2T6C0ciNz60M8mA17ePsdrq7RfOW9QwnuYt/1z/3ur//HC0NYQlif72/mMdDikcDpumGSt5ppT++eGdL7/aQQiJRBKf5/i5xsJPtgwRQkpL1WefujjFI4UAAAAAADBjIYCG8Vi2bPGb/5p74SWPNO8NEEIsRt7e2P32xu7jjqnctXsoYYffS6946XvXNp579mEzs8QSYiilV3/jgNX/+e5oA0JhwemUTNN0uVyGYViW5XK5IpGIYYxa56xpWrlq69FGfWrhOQcJtbS0xFZ+S4Ix1tzcnLAO2jCMHTt2jOOmTdO0LEsQkh04gXzHGPv5Q++NFgGPaXG1uvqy5emeP8QY27J1zze//epo3fZra5x33X54NBqNRiOxp7/D4Xj1X53/+/u3k+xZEMg9aw7x+oybV39IKbn5pmUrVx6e1twAAAAAAGBmQgAN42SzqU/8v0vXv/j+j37yVuxb7qv/6kpylV/dt+XVDV333H26inYcM9uppyy9596PfP4E/QqqqxydnaGyUjs/2ZxSapompVQUxSQBtKqqtjAhiU9eJ4SQavt4EyCYvnbs2JHkSTVMwjL8cafPXHd3d2Vl5bivDrlvd0vXaK2fk6splm++oLG8rCTdK/b1DV7zvX+0tCZopSeK9MrLFx93TFU4HI4/7iKKIhWUb3z7tUBgjB4ylkW++4N3CSHVVY4//G5laWlxutMDAAAAAICZCQE0TMjJJy37wmELrl/13Dvv9qUy/sOPBk5d8fDDD51eXV2e6blBLrvnl0dc8Y0NI7d3dIbuWPPB1d9YdMzRtZZliaIYDoej0ajT6dS0xAGz6nC93m30GcnezY6ch+cbfEZTU1Pq6TMXiURsts+sZjmR9JkQMtpyhWPy+Xx+v9/v91uWxRijlNrt9lmzZtnt9onMByYXY2z1X9N+hhQ6xFVnz1s8P+21QBljv/v9a394KEHLZlGk11+39KDPlwWDwfjomfd6/stfdz27LnFf/oS+/c3GKy4/Lt3pAQAAAADATIYAGibK7XY9cP95mzZt+9Y1r6QyPqpb537t2UcfPq22FqV/M9f8+bOTXBrVDUKIIAhjrupGKf14iCRPnwkhzb3ezxe4050kTFfNzc2RSNp1qcMC6J6englOI93OuYyxtrY23qt32PZQKLRnzx5BEObNm4cVX3NEc2tXIDLq0n8jLZvj+MYZC8pLi8fRqKq3b+DK/1jXm2gNwx/deNDSA0tDodCwZ47D4fjbM3sfe2JP6rdSUqL+3x/PqqgoTXd6AAAAAAAwwyGAhklAKT3ssCVvvTb/xh8+/dobKYUy51+47uknzipL//ximB5kWS4rVRPGJYSQ51/oOuG42aZpyrLMg8JgMOhyuRK261XFsW/unZ7o5+dNbMYwXViWNeaylgnxtjAxvb29E5xJcXEaHQz27t0bDCboqxDPsqxdu3bNmzdvWKU2ZMWejv4UR150VPHpRy+x28a5lN9Tf9u0Zu3HCS965P9OJoQEg0Frf6ssSZJsNtvf17U89fS7oVAaJwF855uLL7vsOHQtBwAAyAOUkMLZhBDDMBlhAhVEcfS/4FQkkWSNNIdhHa+mscIOS++Mw1xgWqwzMHpvxxGDrene65ESUlVkH7G4COOtMgVh+LfxlpB3qqYGeQYBNEwaVVXuvefcLVt2XHL5i6mcWX7hpX//x3OXYE3CGev++04674LnEl5kmBZjLBKJWJalKEo0GiWE8BXbrM/+6WOMLXZbAV3oCCe7rYAp+gMBt8s1edOHfLVt27bxXdEV9/xJpYB6tEMmHKU0xXc/y7LSmnNTU9P8+fPTLa+GSedxjvEQFDrEVV+uXbxg/AfHGGOrfvT3199MfNxXlunXLl7/v/99pNPpCIVCqqpSKn7z2xv8Y/V6HkZRhKceO7uyEo2MAAAA8gUl/naSYtwjKiSFgp5/a32RkJTP8XLn3+cHk5H2lANoQog17vWm8wRjrGWf30g5aBem+e8Dxg8BNEyyxsaF77694NrvPf7GW2OUQgcCxubNzUuXzp2aiUGuqamZdfxxs155dd/Ii6JRSxTFYFB0u9VYsWooFHI6nSOLQEOh0FKXdEiJ7ZVuEjFJdJSPQxt3d530+YZJvQeQf5K0XRZFUVGUcDjxoYxhhZ8dHR1j3laS9JkQsmDBgjH3QAgZHBzs7OxMZWS8pqamJUuWpHstmFyHHNhwapPvxY+9ZtybkkOhlUXKxcfOOnDx3AlWE4dC4dPOfCQ6ylueogh333lEaantky37brvjDUURRhuZ3M0/XnbWysMnMk8AAAAAAAAE0DD5KKW/vvfcLVubvnn1+mDITDIyHEmvDgummZt/fPKrG/48MhIcHNS+etF6QoiiCA89eGKsdeloeY1hGIYRONIjyrK8JyR9kuikn48DymGBoNvlnMT5Q95JEuaapjla+kwIqa39zKJwvCp/3Ox2+7CGHiMxxlpaWsZsuzHadfnihOOaHUwOSum3vnLIN7/MOrp6CCGiKBYXuielMt2yrKefeX/N2o9GG7Di1OqLL1z85tv7vnf9FtNkhJBxpM9LDyy6754z3W6cOAIAAAAAABOFABoypXHJvJfX1/1y7T8fe2LvyEtPOanq+ONmf+GwhVM+L8ghqqrccdsRq256c7QBN606iBCiqqogCOFwOEn5KiHENE3TNBd43J94Ew979OPur8x3uDzFWKVtxhrH2oOEEFEUXZPXv0WSpPr6+jGHNTc3JwnEIV9QSmuqKiZxh0172r/7/VcGBpIdAnntje7n/zF2kX5C53yl7pm/t99/74kHH5xSkT4AAAAAAMCYEEBDBsmy/KNVp190QdfZ5z9lGJ/JBLfv8F7//dnZmhjkjqOOXLSg4ZOdu3wJL13QUEQI4Xmxw+EIh8MJu3DEi2pamSr3aglqP093bans+pB0EZNIFhEtIkapy2v/nGGvKSmrRCo9EyQ/hjGahQuHHyob334IIYqizJ8/f8za5NbW1omkz6k3mIY8whi7/sZn39qYePXL01dUP/f8p6FzIDD+BX/Kyx2vv3rVmBX6AAAAAAAAqcNq5pBxtbWVG9/41q03HxS/sbUteOrpj7z73vZszQpyBKV07ZqTR7v0pp++zX9gjIXDYb7SbvIdirKSMH2erUZnsw8/HUMMmWgqCblZT03o5Tn9D7m33yltvr15x/vjvR+QH8YRqyXMi6urq8dx6zabraGhYczncHd3d6ztzPh4PJ6JXB1yUEfHvuNO+sNo6TMhJJY+j2bZ54tv/vGBSQYUFymvrL/kystPRPoMAAAAAACTC98xYCpQSs8444hTTjnkBzc8HVuckDFy7XVvHHLw9jV3nKaqKD6duYqLC6/4+sLf/2HHyIv2tgRCId3hkAkhgiCYphmJRCRJMozE9X0ut/vJ1sSlqaerLyeP/URiLNKeI5uf2yWfUL3gMFHE2+M0NGfOnC1btqQ1PmHTXo/H097entZN19bWFhQUjDnM7/f39fWNdilvHj1mPF1VVZXW3CCXGYbx+BOb7rt/2/iuXlSo3PbzQ4NB44Yfbnz/w4GEY0SBrv3lEUcf9fkJTBMAACBrmGWyoV5ipbrgAS0qp5n5qM9CXqKnfBKb4qD2sT8cjpPsJIRYjBFCKCHJCiBEmYjpnDknOwhLeW0JUSHMnupgmk59pKUTfSjVwaYopLxznEUIkCFIWGDqKIry63vP3bu3/RtXv9Dbp/GN777Xf/zJf77m6kXnnfsFURSzO0PIliu+ftTDf90diSRYsvLy/3j14YdOJIw5HA6+rlogEBh1R6M0RlhiDxSQnhQn06C/zLa83FZ4dnntYvQxmH5kWdb1sZc/FUVx/vz5SUpBFy1atH17SudwFBYWplgxrWlaa2vraJcKgsCfkG63W9f10fpZV1RU4Hk7PUSj+v97bNNvfjueU4Ua5ruv/fbSAw6of+/9Pdde9+awLljxjj+28o5ffEmW5QnMFAAAIJtYwBu5/3oWHv07wmfZr/svWlaTiZmY7zxhbX81xcHC506RjrwoE9MghBCmk/gsNUn3OEapkNbXcIOQlANoahGa4CveaFNJYxaRdtaeoIApIUtdokmHpjhYxAdpgMxAAA1Tbc6cmn+su3Ld8+/95Gdvxzb++jfb//t/dtz5iyO+cNhCRCcz0xOPfvn0lY8nvOjCS1565P9OJoRQSi3LopQm7MCrKEowGDyk2PHuwPCn0HJlS1qfZyghdUNP9PnmOZd8VRDQqmhaaWho2Llz52hF9FxFRUVpaWny/Yii2NjY2Nvb29fXxxgb9pyklBYVFZWWlqae65mmuXv37iQDnE4nn3YoFDLNxB/lVVUdc+aQ+6LR6J8f3pTwvJAxCQJ5Zf0lsiz39Pav/MojXl+Cwy0ej1xd5ejpifzutyvq6sbTTwYAACCXMKaFSCTZOjHDhmdqIkaURENpDM4cZpIUi3mZmdYXJWKZaQTQzOIzSXF0GtNgJrFS/gWy0Q/FJ5hExp4eADMbAmjIjtNWHHz8cY233/mPv6/79DR2w2A/uPGNmpoP/uc3pxUWooHpjFNU5HnowVMuufyfCS+97MqX//i7EwghlFKHw5GwCFqWZVVVB4PDPw8JhJWzZLneaEqtJu2Te7SF30nYhCGJSCQSCoUEQXA4HFjbMNdQShcuXOjz+drb20emxpWVlYWFhakfBisrKysrK5uUie3YMUbamEpjaE3TQqGQw+GYlCnB1LMs6y9/3fjA/26zrHF++SkvswuCcO99rzz6+J7Rxni9+rXfnr/yzOU4wAYAAAAAAFMAATRkjd1uu/WWld+4qvvirz8zNPTp0cv29tBpZz5+x38eeswxydZKgmlp/vza665tvOe+BC16IxFz46Z9yw+t4OXPbrc7EAioqhrfhSAYDIp216b+4dGhSJlAUj/w/hkqCUk71oYX/0CWx86RNU3bs2ePNaL9HKW0uLh41qxZ45sDZEJBQcGSJUsYY5ZlMcYEQchuEheNRhPW9Y9Dc3Pz4sWLESzmo+3bm7/zvQ2hUKJmRJctapjv/tFP3hlzJzf/+MBTTvtzODzqm97ll83/jyuPx7ExAAAAAACYMgigIcuqqyte/udV77//yZXf3BDb+MOfvOPxfPjsUxckacAK09K553xhy7bBf67vHHnRPfd9fN9aV1mZ0zRNURRFUdQ0zW63h8P/XujDIdGRp27pTOgmDRVkV/xGi1BKWCplriIxpG33swO+l7wqtqura2Ag8QJfjLH+/v7+/v6El9pstvr6+nyPC+PD0zzqokMpzZHW801NTZO4t2Aw6Ha7J3GHMOmGHW/Qdf2Ci5/o7Ep80u7Dfzrxyb81p5I+E0KuvnbjaBctXOD+04NfRfQMAAAAAABTDOke5IRlyz733sbG519455afv8vXSvJ69WNP/NPDfzptzpzKbM8OptTPfvLFjzb/pbs7wQJr137/rbPOnPPV8xpiVavDsk6/339mjeuZ9uFXfFs/cKX8mQBaIKyDNgYLDmaMCUxngiJbwfLwm06ja+Tt2kige8sThZ87Z7Q5RyKR0dLnMUUikW3bthFCqqqq0mr+kAsYY319fb29vcPSNEEQ5syZY7envOb1jDeycH4ienp6EEDnoGg0um/fvmAwOOzhNgzrW9dsSnLFCy99aYI3XVFu+98HVtTUVE1wPwAAAAAAAOOQ3zV3MJ1QSk9bsfyNDVd99bx5fAtj5IJL1m3d2pLdicEUo5T+3x+/LMuJ353+vq6lrT3AO0HzOmi32y1JUiy3pZZ5Vg2VPpvibgs7d5LhCx8HaIllGpRSJiiEkLCldrpOGW1WFdY270DPaJc2NzendueS6ezs3Lp168jGxDmrtbV169atPT09IydsWdaePXu2bt0aDKa8GgxMnqKiomxPAT7FGPP7/Tt37tyyZcuuXbv8fv/Igw3X//D9Cd7KoQeXKKO8Zzod0u8eOPH5v1+B9BkAAAAAALIFFdCQW2RZvvH6L151hfeOu15a/1IXIeTKb7744gsXOBwopZxBnE7Hk499+UtnPTHyIsNgN/lzUBIAACAASURBVPzwrf/+9dGFhSpfG5AxJooib2HBY2hRICtr6Xv9bG9c+Pmkb/HXPd4KtjO2ZaH1rx59mVc6wBVtDij1siyXhpKd4W7reJoUX5XwokksX/V6vV6vt6KiorS0dLL2OelM09yxY8eYQTljbO/evaWlpRUVFVMzMeCcTme2pwAkGAx2dHToup582BNPtQaDxrhvRVGE//rV8X9ft+ud9xI0+fnBdQd+7fwj873DDwAAQL6g7mJasyTVwa7C1PfMAt1W08up7jmjp1R65qTWyJAbew3t3EMdkphiSVC6dUPtQZMykxBii/rG/CUORqJp7j4n1JY7TSPVb8fte8Z5GjHkIwTQkIuKijx33v6V73X1fue765r3Bl56ecuXzjgk25OCKVVSXLju2XNP+9JjCS/91jWvLV7k+eENS0VRlCRJlmVCiGVZoVDIZrMRQgYGIwcVq3s/W337R+8XvuIpbWBvxraUa++Xa+8TQkLhjwljDjKUZEoFbF8gqsmKOuE7N7bu7u7e3t76+np+d3IKY2z79u2pj+/r61MUBTW5yVVUVHR3d0/KrlT102MzkC0dHR1DQ8neTGIGBrUX/pmg5X1MXZ3re9cc8P0b3kp46ZWXN1xy0RGWZT1z9fAeHRddMPfb3zoBzwQAAIApFRok+1L+nFxWn86e+8nOf6Q4ljmLaeaOPgfaCEm5+MZRnLF5ZApjzBtNdQX7tJJ+Rsi+iBnh4WwK54kaKU8jpzR1eP2hMSowYtI4CAP5DwE05K7KyrLHH71ky5amuXNx4vBMVOgpeO7pc05f+XjCS7dt91IqieKnhc+hUMhut7vdbp8vKstElvRI2PpKnePJ1n8flmaEPOGdL5B5X3B7D6MvqeTff/UdbJAQYhJRJMn+zIcCXk9x+cjtlNJJ75thWVZTU5PD4aivryeE+Hy+7u5uxpjT6aysrMxiSePOnTvHHvRZnZ2dedfeeoqVlpZSSvft2zfmSJfLFQqFkhTdz507d1KnBqmyLGvXrl2GkUY586qbPkg+oLU1kDB9/tr5c75x1dGx5QT/9OApL/xjVyCgL1zgKSlWjjrq806nI/VpAAAAAAAAZBQCaMhplNLPfW4+IYQxpmlatqcDU62oyPPc0+d85bwnNS1B3HbJ5S8LAv3VLw8tL/c4HA5CCGNMVVlrq7+mxiUI1LKsr9TSV7vJQNzZSxahb/oL3yRnV8raKY4PZ7EdsVg0efpMCCGjRKizZ8/eu3dv+vdvbKFQaMuWLfFbhoaGYsWV1dXVHo9nKoNdXdfTytdihoaGUASdXElJSUlJybCHe6RgMJjkaMe8efPQb2Hqmaa5c+fOdFvxrLppPK2fTz6p6qZVJ6qqEr+xYX5tw/xaSilKngEAAAAAIAchgIb8QCm12WyWZUWjedkICcatqMjz4guXfP/6ZxN2OLUsdu33N52+ova8cxpUVeT5S12dSgjRNC0ajbpcriOKohGqbOgm+mdTuy5d/ZP3MIEsP9HduYy+lEqI6xylU5vT6RxHEbQoioyxifSP7ujo6OjoKCkpmTVr1rh3kpZxt4no6upCAD0mn8835pgkT7Oampoc7NkyvWmatmfPnnG8its7QgODafw5czqkq7/Z+KUzPi9JCT65UUoVRcFJBgAAAAAAkJsQQEM+EQTBZrOZpjnmsk4wnYiieO89Zz32+MZ77vsk4YDnnm977vm2iy9oOOH4CpvNxlMY3gk3Go3KshwNBlbMsmlUfqOHBT5bv2sRut5f/ZH81XMcLxewniTT6BUXFMjyaJfOnTu3qakprfslCIKqqpRSy7KCKXQBG01/f//AwMCiRYumoPQ1lYQ0oUlvUTIttbe3j/u6DQ0NsYYMMAUikUhzc/P4DiA9/mTLP9Z3pTi4cYnnhh8s5wXOIy9F9AwAAAAAALkPATTkH1EURVFEDD3TnHvOYccd23DpFc8NDSUuG/zzX3Zt3zFgmOyG7x/Eo1hd1xVF0TSN/8tY5NhiWVVVRujGPrbEwz7x0n1hQgjp0ZXfeL+4oqBtKXlltAlYREwyPZvNVllZ2dWVaqjEp8efw2632+VyBQKB1K87DGNs27Zt8+fPz9kT8NEXYkyMsfHF9JTSqTn8AFzy6Nlut0uS5PcnXvPdYuT6Ve/6/WP3samcZbvkosUnnrDQ5XKONkZRFDzuAAAAAACQ+xBAQ75CDD0DlZUV//1vF/7+wdf+8NDuhAN4m44LLnmpstKx5vYvyLJMCOHlgTyZZYxRSj8ZZL0R8laUBj/b8/l5X+0b4gUXuV4qYAkaTehyWfLpFRcXS5LU1taW7v3y+/2TUsC4e/fumpoaj8cz8V2NRlXVSCQyjivyJt0w6erq6txud7ZnMYPs2rUreSeocDiccLsgCHV1daec9kjyowyFHvmabzcee0yj3a4meVvgJ0+kNmUAAAD4DBb2M/9gshHBADUtJjJCCBEoSb1EwBprRZnPDmbhoRTHMj3NT+CCTAhh5NOZUzL6xwZBIiQPT1WklNCU4yyarJBo4hMRUv5QJhDyae1AClcRKBVT33MmPxnKkkDN4bUXjCV+Yo1nvSCYGRBAQ34TRVEQBMuyEEPPEIIgXHXlsV88dcHXLl6X5Nz3rq7QRZe9TAihlNxx26Gz6woJIYyx9nbfL+78cHAoesOao/bqCbrl+kzpN95TTvX0HcSej99uErl43pFjTq+goGDJkiVbt25N935NVoeK9vZ2y7Iy1225oqKipaVlHFecsi7V+YtSmlYncbfbXVubuC0DZEJPT09vb+84rigIwsKFCwVB6OrqS/jwCgL9/rVLjjpqXllZ6ZgPKKJnAACACdL/dh8LJz5XiRMtSyQkIgiEELGikvlT/QAglFekPg020GI+fVOKg2lRZep7JpQSSSH7v2JQSpLlnaJMiJbGznMEFYg4anfE4TJ5xphpMcNM6QM8JcQwLNMwCSGpfJwzTcu0Uv1qYKU8chyYxdiI/bPREmiAUSCAhrxHKeXV0FiicOaora187ZXLr7/x2bc2jvFxkDGy6qZ3Yv/9718f89Oblt5407t3r3r94l8cH7ISHgyn//CWbRQvuMC5voD0GkT2ibXqwvMlMaU3TEppY2NjR0fH0FCqFQ2Tq7Oz0+l0ZqgdsMvlGsdyi4qi5GxvkJyyaNGiHTt2JG8rLIpibW2t0zlqWwaYdLqu79y5cxxXlGW5oaEh9gWjsrL08UfO8Hr9gUBUEGlxkbu6ujzFlyp6PQMAAEwWFvKRQLIK6Pg/t6zASYJJy6XjWaVpzMMySOoV0K7C9D4EmBESK7YdY9dWXsZCjBGW8nd/lk5lepoMk+kph7+GxfRPP+mPfRXDtDQj1eVGjAmsbJ8cIySkGSmG7CTFZx3MSPn4TgOQGF+iEDH0DEEpvXvNma1tXdeverW9PZTita79/mu6zs48o0axy1Xe/t3u8tFGDpnSb3wrrjqo1DWuqK+6urq6urqrq2twcHDq19/bvXv3kiVLMrTzhoaGtMI4QRAaGhoyNJlpRhCExYsXBwKB/v7+YDC4v2iFUkrtdntJSQm6bUy9rq6ugYGBdK9VUFBQW1s7cntVVUVVVRq1UYQQQRBkWUb0DAAAAAAA+QsBNEw3sRha1/WpD/5gitXVVj768FffeXfXqpve0LSxj/rqOiOEPP9Cx9f/85jd1tgnbdlsCdp0pK6ysrKystKyrJ6enqGhoVhla6afmYyxjo6O6urqTOxcluX6+vrm5uZUBouiuHDhwkxMYxpzuVwulyvbswBCCNm9e7empXFSqizL1dXVk1WfLooib2QPAAAAAACQ1xBAw/QkCIKqqoyxaDSKGHp6o5QuP3TBiy/M27hx1+13vds/MHZapBvsyTVvn3L9kTpLdoaQUzDFyegXJgjCrFmz4psg84DY6/VOfOejGRoaylAATQhxOByLFy8es1lEdXV1YWFhhuYAkGk7d+5McXUBSumsWbOKioomq05ZkiRRFFH1DAAAAAAA0wMCaJjOKKU8hjYMwzQz2PgJsk4UxSOOWPTMUwujUf3d93b+5oEtzXsDScb39WtbH/mg4fyDRxtQIJmXHFKXoQCIUlpTU1NdXd3a2hoIJJvnRLS0tMyePTtDO+fNIizL6u7uji/uJoQoilJXV4d+tZDXvF7vmOmzIAi1tbUOh0OYvJVtZFkWBAGvHQAAAAAAmE4QQMP0RymVZVmWZcMwDMPI9nQggyilqqocecTnjjzic4SQPXtav37VS7qeuEr3w48GTz6xc29p1f4NTCBEFMgSp7G4sqCyfNT20JM4Wx4QG4bR3Nw86b3LA4EAYyyjSZYgCLzNSOZuAiArRvtjQSktKCiorq6e9FeWoiiTGGQDwIzFGOvu7u7t7WWMlZSUVFRUSBK+8QEAAECW4eMIzCCSJEmSZJpmimdVQ76bO7fu1Rcve+759+/65UeGkaATy5q1W9euKTh42QJKaRa/nkmSNNoyfVu2bElyRV7jH4lERhvQ09NTUZHeimcAQAgpKSkpLi4OBALRaFRVVVVVM9SOmVKK0wUAYLL4/f7bb7997969oVCIEGK328vKym6++ebS0tJsT22i3vvubUYwHL9F0zTGGKFEVdRh76L2UpfhT/UMM1dVsTGY6mKz5aedUnrCMSkOhokwe9q19Y8SK7VzWBkTK2uJkWoxB3U6WWFxkgGWZTJGRFEkhBAhYwVMkkxKUj1bkdpcJDz2sJyjFhIl5TW0BYHkwknLlKgizVATT1WgvN5ATOG7Z5QQIeUFieySOIF5TaZZHnuxXUlxsKKZ9pQrMFgYMU5+QwANM44oiqIoWpY16QWnkIMopWecdvCKUz//7nu719z9XmfX8A9u37/h7b89XlFenpdfzBhjSdJnQkggEEAADTA+lFK3O+WvTOkTBEFRUv10DgAwJr/f//Of/3z79u2zZ88+4YQTCCFNTU1btmz56U9/umbNmnxf3rb5z09HB1NdPKNocU2krT3FwZWHL/F/sjXFwfY5dQigpwbzDehvrCMpNlGUZaXMTaIpB7QlZSQ4mOTyz+RhpRk71Y/pxNeW6lhpdl4erNb9xEy536CQE9/IGCP+qJliAE0JSSuqDuhWKGoRQog2dhZh6uZQKNXIoqbIns5EMqijJ+hLedrFjOzrCaY4uL7MMd5JQU5AAA0zlCAINpsN7aFnCFEUD1u+8PFHF/b2Dvz10Q9f2dDV3f3v3Pb8C5/9+9/Odzpz8e+ZJEkT6RuTfJFAAMgKrDEIAJOOMfaHP/xh+/btFRUVa9eu5SdtGIbxk5/8ZOvWrbfccsuaNWvwtgMAAADZggAaZjTeHlqSJMuy0JdjJigrK772Oydc+x1iGEYoFPloc2swqMmy6PcHczOAnj17dlNT07iv/umZgwCQG1R1+HniAACTIhKJbNu2TZbln/zkJ7GWQZIk/fCHP7z88st37tzZ0dFRU1OT3UkCAADAjIUAGoBQStGXY6aRJKmgwHX0UUum8kYty0p3kTGbzaYoyrifljjBHyAXiKIoSRKiZwDInEAg0NHRMXv27PLPrqJcWFh4yCGHvP322zt27EAADQAAANmC9dYB/o335bDZbOmmhDCTMcYYS6n3V29vb3t7e7qrHTY0NIw7tyorKxvfFQFgUkiSZLPZZFlG+gwAGdXe3k4IcbvdqqoOu2ju3LmEkP7+/ixMCwAAAIAQggpogIR43ahpmujLAWNijLW3txcVFUWj0ZKSkiQj+XqA4+jpvHjx4t27d6dbB60oyshvoQAwBSilePUBwFTq7OwkhCQ83OV0OgkhPp8v4RWffPLJkStGBINBt9sdDqe8pNtUSGOhrxQrAzgrncGGYWTo1zINvnTEPuJGo9GJL7HDtGhai7sxwlI/0stYxgZbVjqDM7ZnRtIYTBhNY3h6MverthhLvWQsrZd5qrVF+4enMZYwkuZMUh9smmm8O0VTWAJx3Fjm3q7TWd+IpbkYkq7r6T3yUysSiZA0f105CAE0wKh4Xw4sVAijMQxDkiRBEOrq6jJ6Q5TShoYGn8/X1pbqStmEkPnz52duSgCQkCRJ6Z7lAAAwcUNDQ4QQu90+MoDmb0qjBRN33XXXyEPjVVVVpaWlwWAwAzMdp7S+dTOWRu5gmWkM1qLRDP1aotHotOkEyIOSCaLhsEjSiUXTigzTCjotlvqaKpZlZW5w6nkrszKaUqUXL6bzq07jF8KYlfrzI60sMs13mzTHpz40zSRX1/XU351CaR5ISy+ST+sXks5zNa0A2kwzgNY0TdO0tK4ylRBAA8wIfKFCWZZN0zQMI99f8zBZOjs7DcPweDwej2dqbrGgoKCxsbGrq2tgYCD5SErpwoULcco/wJQRBIEfjsr2RABghuLvPwnPsuKfXfP9U8ERb/2VpJwmUIGmnpdQSlMPhURHLq5ZPS2x2gbjxt+mPl4X0niGU5peDpgGms5LLb0XZTqjKSGZe8kLQhqvL4Gm8e05nRdjeocnqFhNUs0WmUiq7KnvmzCHmPp9ZEVpLBHPWBoZtJTOS6C60HbT6fVpzCRzNeQsvXg79V3TdMrNFTWNxwXGDQE0QKpQEA2EEMYYL0NWVbWysnLqv85VVlZWVlYahtHT0zM4ODjsUkEQ6uvrVVXN9++ZAPlClmVRxGdWAMgyvuqDpmmMsWGfAXhvB7fbnfCKP/vZz0Z+n3/kkUckSXK5XJmZ7HiMnEwwGOQzdzgceX38jzEWDAYVRcn3taNjRdx2u31y/jJ6CidhJ+MSiUQsy3Lk//GGQCBA9q9Ike25TAh/meT7i50QEgqFeBmv0+nM7ve1CZZQMcZCoZAsy9PmjUtVVVmWsz2dUfGTmfL9Oz4CaID0xAqiGWPRaBQF0TOKYRiBQKCurq6tra2srCz2B8A0ze7ubsMwXC5XUVHRFPxhkCSpqqqqqqoq0zcEAAkJgpDvH7gBYDqpqakh+3vvDmsExE+cKigoSHjFFStWjNz4zDPPiKKYy4kVzz7453BVVfP6QKBlWcFgUJblXP6Fp8KyLJ7jTINMih+2yfdHhOwPoAVByPf7YppmMBjM9xc7Y4wf2yCEqKqa12G6ZVnhcDjH/1KkIlZZmONvwtPjZCYE0ADjFFtjyjCMcSwrB/lIkqTCwkJCSG1trWVZvAd0S0uLZVmiKFJKA4GA0+nE4mMA0xWlVFGUfP/wBwDTz6xZs1RV7e/vD4fD8cXOjLHNmzcTQnDQGgAAALIojw+5AOQIfk6Toih5fTwWUmdZVmtrayAQ6Ozs3Lt3byAQ4A89pbSurg7pM8C0xEs80N8GAHKT0+msr6/v6elpamqK3757926+pbGxMUtTAwAAAEAADTBJBEHgZ22gOG56Y4y1t7eT/afmBYNBXmckCAJjrLW1NcvzA4BJJYqiqqo2my2Xu8IBAEiSdMoppxBCbr/99tdff900TdM0P/nkk1/84heEkMsvvzynGjoDAADATIMWHACTTBAEXgMb64MG00xBQYHP5wsGg7zhRmlpqd1ux1EHyDWMMcZYdrvLSZKUpx2KBEGQJCmve/MBwIxCKT3ppJPa29v/9re/3XXXXfHbjz766JUrV2ZxbgAAAAAIoAEyha/2wBizLItXy8I0oGmax+PRNC0QCPB0j3d/zva8AAghpLu7W9O0uro6QkhbW1t5eXm2FtPg54JompaVWx83vswspRQvagDIRxdeeOFBBx308ssvv/3224yxgw466Ljjjlu2bBne0wAAACC7EEADZBalVBRF3iNY1/XYKquQv7q6umJ1kX6/n1JaUlLS399fW1ub3YnB+PCjRENDQ6FQiC9LTSmtqqqSpNz6Ezk4OGiaZmlpKf9vJBKJ9SPmdyF2rKulpUWW5ZqampEFvIwxXdcDgQA/gsIbl09kVnxFZl5tbVmWLMu8dljXdX5RvpBlGX38ASDfybK8dOnSpUuXZnsiAAAAAJ+RW9+uAaY3WZZlWWaMGYaBJDpPUUoLCgoGBgZ4aafb7WaM9fX1UUp5nJftCUJ69u3bF4lEotHosNMUOjo6ysrKHA7H1EyDB9+xvFiWZcuy+BsFT3IFQSgoKOBTtSwrEAhEIhG73R4OhwsLC4eGhkzTjEQi8f0uwuGwqqqFhYW876dpmsFgcGBgIBKJxN5/CgsL+W0lfEfib1aiKGqa5vV6TdOsrq7msw0EAvxGecpsWRavHea74u2SM1p/HQgEBgYGamtrJ/iiQ+4MAAAAAACQaQigAaYaj2mQROep7u5u/oMoijzsE0XRbrcXFxdndV6QBsZYW1uby+VSVZWnqPGXUkodDseUNf81DEMQhPb2dkEQeAwdqynmS0jxAYQQURR1XRdFkRc7i6IYCoUIIT6fL2GtcSQS4YH10NCQYRi6rse60vPWMaqqSpLEN/J4mhDidDp9Pl8gEOAJuGVZgiDoum6z2YqLi30+39DQkK7rmqaNvNFIJBL7gVIaDAb5TYj7lZWVTcovraenxzCMcddu8xNTcq3CHQAAAAAAYLrCty+ArEESnY8opbwm1G63+/1+QkhVVRUKn/PCwMBAIBCoqKgIh8OEkJ6eHkmSRr7unE4nrxEOh8Mej8eyLFVVCwoKBEEIBoOSJNlstgk+4pIkWZbV09MTDAZ5KT2Pm0frWcEnyf+N1TjzeHrM2wqHw/z+xu6dIAj8PScSiYRCocHBQV7ozd+FRtttJBLp6uqyLCvFxhq8KUc4HJYkSVVVVVWLior4iQKpXD3J3RkYGBAEoaqqahxXR70zAAAAAADA1EMADZB98Uk0L3jM9oxgVDU1NV6vVxTFwcFBl8sVCAQ6OjqqqqqmrGAWUmeaps/nC4VCPFTVNE2W5e7u7kgkwhtuJExaA4EA/0HX9b6+PkIIpbSnp4fsb5QhSRLPMXmSyxgbsxTXMAyfzxcOh/lMeBsNvrcpxsuch+GHUpIbx2wdDocoijxYVxRFVdWJv7kpipLuIR9KqSRJgiDgQBEAAAAAAEBWIIAGyCE8KOEnhvPer9meEQxHKS0sLCSEuN1uQkhbW5vP5zNN0+12FxUV7du3b9asWbF14RB4ZUiS3y0vsO3r6wuFQjzwjb+UN0oex83F70fX9dhr0+l0JkmfTdPs6OiwLCsUCuXXinyTgncIcbvdTqeT94wmhNTV1fHK6L6+vnH00Eirfjm2SCMAAAAAAABkEQJogBzFW6YSQnhN9AxMryZdW1tbbW3tBHfCGOvs7DQMo6Kiwmaz1dbWtra2BgIBvkobIaSzs7Oqqioajfb394+vSwAkwRhrb2/nS97NnTs3vqKWPzS8PfEUnEYgy3JBQUFFRcXIiJMxput6V1dXNBqNtV2esfx+v9/vVxSFr0zY0tLC11Sc+IsxIUqpoijInQEAAAAAAHIHAmiAXBdLohlj0WgUSfS4TVbgxbsotLS02Gy2kpISQojL5fL7/bwqNhwOR6NRURQVRZmUm4N4giDwVNdmswmCIMsyXyVP07TOzk5+DCDTeEdjj8dTUFAQv900Ta/XGwgEDMOIRqPo6h5vWBbvdDpbW1vLy8vtdvuk7J8vKojcGQAAAAAAIAchgAbIG5RSVVXJ/oYAaBU9xXhNq6Io5eXloVAoEAiEQqG2tjan08kY471uCSGMMd55wOFw9PX16bpeWVmZ7blniqZpKVabBoNBh8NBKY1Go/v27fN4PB6PJ8U988pZSmk4HO7o6OA9NDRN27JlC7/I4/EMDg7GL7WXCYIg2O12xlhBQQE/8GAYRn9/v6ZpvBm0pml8RUFIhcvlstlsE9kDmjsDAAAAAADkBQTQAPkn1iqaMWZZFhp0TA1ZlisrK03T5I1li4qKhoaG+OptlFKHw2FZVvwKb6FQSNd1u93u8/kYY8nz1lzm9/s1TSstLeXtLwoLC3n/a0JIb29vdXV1X1+fy+Xq6empq6vTdT0YDAaDQf7kdLlcxcXFPp9vYGCAB4V8O//lhEKhhoYGxlhLSwshpLKysrOzc/bs2aFQqLu7u76+njHW3d0dDof5QRdN02JL4cVW8yOETEHPDZvNxsNu3ra4vb2dUhqJRMbRUXom4yE+X7GTd4K22+3pxseCIPDcOTNzBAAAAAAAgEmGABogj1FKeYMOHkAbhoGz/jNKlmVJktra2vh/a2trXS6Xz+cLBAKEEMMw3G53fAzNV6vjj47f76+pqcnWzNPV0dFRWVkpCEJrayvfwu8FY2xwcNDhcPC2MDx9DofDvOh79+7dw7rE+P3+oaGh+OCY478il8u1e/duxlggELDb7c3NzYZhNDc3y7JMKd2zZ08oFBp2xYSm4GwAnp7X1NSEQiG+wiFea2mhlLpcLkJIIBCIvSJUVVUUJcWlCGVZRrEzAAAAAABAPkIADTAdxDoV8CJN0zR5P2IYhjE2wQCLUlpbW8t30t3drWkaL+TkcaSmaS6Xy+12x1I2Qgivkna5XLqu8wcol/HE2bKsnTt3lpSUiKI4NDTkcrliSTQhpL29XZIk3ul4zEX2knTG4ME9xyNsQkiurdrncrnsdntZWZlpmq2trbHHGtLCGOMvhBh+GGPevHlJ3qx4m2+EzgAAUy/HP0wyxgzD4EepdV1P5XB1zuKnM+q6Lkn5/d1c13VeE6Drer7/7eZPqlx+CaSIPyKCIOT7feH9J/P9xc7fuPiDYhhGXr9M+BuXKIr5/tSKvXHxJ1i2pzOqXJ5b6vL7jxwAJBS/biH/dD7De3R0dnbGimRjGXRhYaGiKOPoQhv7rCDLsqZpvP+GzWaLRCLRaDQUCsmyXFJSomlafAwdiUS6urqcTmdRUVHOdg/Qdb2oqCgYDA4ODlqW1dfXx+cfnxRzsZ7X05jT6ZQkqby8fN++fS0tLdFodHr84c8iQRAUReG1zPy1MPJXylsM8XcwAADIlldeeeXwww/P9iwAAABgmqAzPJYCmDksy+Jtc7M9keyItYkwTTPWt5cxxkssHQ5HYWGhZVkDAwOSJBUUhq6GVgAAIABJREFUFPAcebSCZd6Am1LKG3DzI9idnZ380kgkYrPZ6urq2tvbvV7vsOu63e6SkhKn05mx+5q29vb26upq3p2ZdxQZVqw609jtdkmSKKW8/ivXirLzi6IoqqoyxlRVdblcvBHHMLFuQnldCQIAMG00NzfHzkzKTaZp3n333T6fT5bla665pri4ONszGj/+AYxSmrMFCinasGHD+vXrKaWXXHJJQ0NDtqczIbx8ZxocDl+9erWu60uXLj333HOzPZcJ4S+TfO/GZprm73//e35e6Y9//GO73Z7tGY3ftHnjeuGFF15//XVCyLnnnrt06dJsT2cMc+bMyakYIV2ogAaYKQRB4GErycMwmv95m8gHjt7e3tjP8buSJElRFEVR9u3bJ8uy3W7v6+sbGhoihEQiEbvdXlxczKMxQRBiH0N7enpCoZDL5SopKTFNc3BwMBKJ8LXRSkpK+G4DgQBfKm3YmWJ+v980TVEUcyeGnjVrVl9fn2EYfFW9vD61bYL4YoO8LTUO0I4D/wXyEw5EUVQUpaCgIOHznIfO/H1pyqcJAADJ1NfXZ3sKY9B1vbe3t6enR1XVuXPnVldXZ3tGQN599922tjZKaUVFRWNjY7anA4QQ0tHRoWlaY2MjHpFcoOu63+/n6wktWLCgoKAg2zMC8uKLL/JHpKioCC+TTEMADTATxcJoxhhjLMfDaMZYd3c3P1VfFMWioiJKqc/nUxRFFEVJkvjR4+TxdF1dnWEYvHOxruux5hKapkUike7ubl7RzIte+bFcXv3q9/t5UsYYs9lsPIx2OBy8XLq/vz9WJS0IQjQaHRwcDIVCmqaZpjlagqlpmsPh8Hq9WQyg9+3bN2vWLP6zYRh+vz9Js+aZIxqN8r7e2Z5IfpBlWVGUWILMX1+EEIfDUVFRkfAlyV+zZKwXLAAAAAAAAEwbCKABZjQeucZXRuu6nmvpG6U0FpUSQnp7e3kPDU3TCCGxvLigoKCwsLC1tZW3Y+aDa2pqfD5fOBwuKipSVZUQIkmSJEm1tbVer9fr9VJKY8tZxO44D+VjP/MzjEhcK+SBgYFYaXPstviWVJpXmKbp9/v5yn41NTVTXwHa3t5uWVZ/fz+v11ZV1el0KooSDodneLuJmVz9nTpe5sxbqBcWFo45XpblaXASKwAAAAAAAIwPAmgA+DdBEHhKSwhhjOXCQsOMsfb29lg0zHPSWOZLCOG9eiml4XA4HA4zxoaGhngkTSndtWuXzWZzu909PT2EEEEQqqureemlx+PxeDz8JngDCl3Xg8Fgind55LB0f1fRaFRV1fb29rq6urSuOHE1NTWEEP47IYS0trbyhiGxpRoBOEqpqqr8ABUPkZ1O55ihM3o6AwAAAAAAQAwCaABIjFKqKErsv4ZhJOkpMYkMw+AdQngi3Nvba5qmIAi8+pjXF1OaxgKqgUAgFArx3hpkf8U0b7ghiqIsy+FwmGfHlNJYTwzeBTgj93A/XddVVY0l/lOvvLw8Go1GIhFe9Yz0GQghiqLw3uWCIPCDNzabLZUr8qvw9hoAAAAAAAAAMfiiCAAp4Z0ryP6WFIZhZKg4Wtd1n8/H22tEIhF+u8Oy4HRz8PipZjpWTh3/NfIq7Cm7xWAw6Pf7eaMVy7J49JzLHcBhavCDMbIsU0rLy8tTOS7CzzPgCwlOwQwBAAAAAAAgTyGABoD08H4XvDiaB8GWZRmGMVnF0Xa73Waz8bVoY6WXaZU85yDeJyTWTpox5nK53G63x+OZmt64hmF0dnbquh6NRrPeVgVyBE+c+aKabrdbUZQxO2bwGmf+JjA1kwQAABhJEISzzz6bNxBzuVzZng4QQkhjY+PFF19MKa2qqsr2XOBTF1xwgWEYixYtyvZEgBBCBEH44he/uHTpUkJI/KnGkEUHH3ww/6G+vj67M5kJ8jvTAYCcwgNW0zTHXVEbjUb7+/t5WaUkSX6/P/49iv+saZqu65Mz46kiy7LNZhNFsaKiIlY/Hmv3kVGmafb39/v9/vjG2TCT8S/qRUVFDocjlTbNkiShmzMAAAAAAACMGwJoAMggxlg0Gk3rfYYx1tPTwwt1edDMKy4JIbEIjO8wd5ppjIk3KzBNU1GU2OFuVVUrKiomkuvxhSKTVKQahrF3717ezwRmMn4IZNhGt9tdVFQ0cjA//IPEGQAAAAAAACYFWnAAQAZRSuObyZqmaVkW70GR5CoVFRX8Z8bY0NBQJBLhLT5i/SvC4XDGpz55XC5XwixP13XDMGRZjt8YDAbtdnuKTXVbW1tDoRDv3isIQnFxsdvtjh+Qj9XiMFmcTmf8E0mW5ZKSkpGn+/HVOFHjDAAAAAAAABmCCmgAyI5Yv47keTTX2tpKCHE4HKqqSpLEVym0LIu3++B74KZk7uOhqipf4Y0QwhjjOfuwpd66u7sHBgacTmddXV0q+9y3b9/Q0BBveMI7+dpsttLSUt5XmlLKWz/zBJ8Py/du2jAML66XJCn27JJlWZKkcDhst9tLSkpGHswQ4mRjygAAAAAAADCzIIkAgFzBC5x5oJxwgKZpgUAgGAzGtkiSxNM3VVUFQYhEIrFyab40YpK9ZYsgCLIsDytEdblcxcXF4XC4p6eHj2GM2e12WZY9Hk+sNNWyrGGhIe/vHP87sdlsLpcrVkVuGEZ3d7dpmqqqUkqj0ahhGLqu89Q+lfQfcgoveOddMpxOp6IokiQlWT+QJ9QcapwBAAAAAABg6iGABoAcxd+deI1zwneqWGDNQ1WXy8XXLRwcHOQDqqqqLMsKh8Ner9eyrPiUNqfE+mZIklRUVKSqqmmasizruu71ekOhkCzLFRUVhmHs27ePECLLcmVlJb+K1+v1er1+vz9+h6qq2u326urqYTfEGNM0jWfc8aXQ0WgUfaJzEy9n5tkxpdTtdvPneZIoWRRFxM0AADCNWZb14Ycfvv/++5qmLVy48LDDDhvWggwyIRAItLS0NDc3d3Z2hsPhkpKSxsbGxsbGkd29CCG7du169tlnR26nlJ511ln19fWZn+/0Z1nWr371q4QXzZo164ILLkh4lS1btrz//vs+n2/+/PnLly8vKSnJ8DRnEMbYPffck2TAvHnzVq5cyX9O8vCVl5dfdNFFkz+/6c40zf7+/ra2th07duzbt49Ses4559TW1ia5SiQSefvtt7du3SqK4rJlyw4++ODRzhBljO3cufPdd9/t7++fM2fO8uXLJ7iY08yEABoA8kasz0a6fY35G104HOa9O/hG0zRzs5c0b93rcDhM0+SzLS0t9fl80WiU7I/dRVHkbToYY21tbaZpxv5YFhQUFBUV8S4fsX0ODAwUFha2t7cTQgzDyM07DlxspUreQr28vJzErcCZcPywVToBAACmq87OzjvvvLO5uTm2RVXV66677rDDDuMtyCATAoFAwkCzsrLymmuuWbJkybDU5s0337zjjjtGjqeU3nzzzQcffHCmJjqTmKb55S9/OeFF8+fPX7t27bCNAwMDa9eu3bx5c2yLLMtXX331McccM2xNGhgfxlgsX07orLPOuvzyy/nPSR6++vr6e++9d/LnN62N/OULgvDzn//8gAMOGO0q77zzzh133BEfLBQXF//sZz8beYTM6/X+z//8z2uvvRbbIoriZZdd9sUvfnFYR01IDosQAkDe4EWghJBhXzBiDSUSXss0zY6OjmE74fmsqqq6ruda82heqR1f1Oz3+/ls+UpxiqLIsjw4OFhYWEgpTdgwOj6LbG1t9fv93d3dudaNBAghlFJJkmw2G+/N4vF4bDbbaIN5dTO+YAMAwMw0ODi4atUqr9e7ePHiyy67TFGU99577y9/+cvdd9996623NjY2ZnuC01xFRcXZZ589d+5cRVGGhoYeeuih3bt333rrrbfddltDQ8PI8SeeeOJZZ501bCM/sg6TaO3atcMS5JFl6YFAYNWqVd3d3VVVVVdffbXL5dq6deuDDz543333CYJw/PHHT+F8p7Nf//rXIzf29vbedddd0Wj0/PPPH3np3XffPezxSnhWAYypuLj4kEMOWbx4cXV19a9//ev4BGCklpaWNWvWGIZx1llnHXvssYZhPPbYY5s2bfrpT396//33ezye2EhN0+68885PPvnE7XZfd911JSUlu3fvfuCBB37/+99HIpGEjymMBgE0AOS9kQfteWuOYcXCw/T19em6zo952u12Xdd5z2geZ/Ml+3IHYywSicT+63K5IpGIzWazLCsSicTOnmOMdXV18btACKGUlpeXOxyOQCCA9DkXSJJE4nJkRVGcTqfb7R5ZvMwH8A7O2ZgpAABAznn66ae9Xu/BBx/84x//mP9JnTt3rizLf/jDH375y1/+9re/RXCTIbIs33XXXYsWLYrfuHTp0jvuuOOtt956+OGHb7nllpHX8ng8s2fPnqIpzmB1dXVjPvNff/317u7uRYsW3Xbbbfyr09y5c10u19q1ax988MHDDz88SQEEpIhSmvAJv2fPnkgksnz5cqfTOfLSuro6VNFOHKX0j3/8Y+y/yZ/PmqatXr06Eomcd955F1xwAf+2tWrVqrvuumvjxo0PPPDADTfcEPsKtm3btq1bt9bU1Nx99912u50QUl9fX15evnr16qeffvrMM8/kGyEV+FoLANNQbKE/236qqsa30x0aGgqFQoZh2O12t9sty3JBQYHdbuddmD0eT0lJidvtdjgcudnWIBAI+P3+5ubmlpaW/v7+1tbWvr4+0zQNwwgEAoFAIBQKhUKhYDDY2tra39+fUyXeMxCvW3e73Xa7vbi4uKysbO7cubNnz66srCwsLOQrCqqqqqpq7BmrKArPqbM9dwAAgJzAGNu0aZMoimeffTZPn8n+nsI2m62/v/+jjz7K7gynMVVVh6XPZP8vnxDy/vvvG4aRjXlBShhj69evJ4Sceuqp8YU7xx57rMPh8Hq9r7/+evZmN80xxng/9KVLl2Z7LvCppqYmfjLxRRddFPu2JcvytddeK4rizp07Y+ciM8aeeOIJy7KOPPLI+KD5wAMPLC0tDQQC69aty8IdyFv4ZgsAMwKllMd8iqKoqjpr1qwFCxY0NDTwBNDhcAj7hcNhXdd5w2VRFF0ul9vtzs3FbWIdsXmHjZ07d7a3tw873stT6WzNcIZTFIU/f+bMmVNTUzNnzpz6+vrq6uqysrL4oFlRFL6uYG4e7QAAAMgFwWCwvb3d5XINW1SKUvqlL32JEBLf3BamBq/cxGeYHBcOh3fv3k0IGdYPl1LKF7t76623UK2SIU1NTfyXf8wxx2R7LvCp9vZ20zQPPfTQYdttNtvcuXP7+/uHhob4Fk3T+F+Wo48+On4kpfTiiy8mhKxfvx7nGacOLTgAYEaTJEmSpGEnzvBPYIyxvXv38vRWEITCwkLelyN2qbWfaZq58IfHsqxQKJTtWcw4vEsGb5fB/yX7OzvPnj07tgUAAAAmgq+lLEmSy+UadtG8efMIIV6vNwvTmtneeecdQsiyZcsSLlDx0Ucf3Xjjjc3NzcXFxYceeujRRx89b968WPU6TJb/+q//+uCDD3RdX7hw4bHHHrt06dLi4uL4z5/d3d38+0txcfGw6/LO6X6/3zRNPDSTjjH25JNPEkLOOOOM+LbC8R544IEPPvggHA43NDQcc8wxBx10UGlpKb4+ZFRvby8hpKysbNh2URQLCwstyxoYGODdVAYGBvhrZ9asWcMG89dOMBiMRqPoYJMivMUAAAwXyxDnzp0b22gYRjAYDAQC4XCYlx4Pa48QXzjA9xCNRjVNm6pZwyQQPiv+21TsWSEIAq+jV/bDqoAAAACZxleUStifindW5cs4w5TRdf2FF15QFOW8885LOKCpqYn/0NXV9cwzz6xbt27+/Pk333zzyEMIMBGvvvoq/+GDDz744IMPioqKvvvd7y5btiw2oKenh+xfX2TYdflZnpqmGYaBAHrShUKh3bt3y7J8xhlnjDbmpZde4j9s3rx58+bNHo/nG9/4xlFHHTVVc5yJBgYGSKJ1pCilfCN/ycRGxrbH468d0zT5ykyZnvP0gLcYAICUSJLk8XgSHrtmjGmaFg6HefsO0zT5EoiiKKqqGlsREae2TY3YeaA8LI4hhMT+5a3A+b+yLPOO4fwHfPgGAADIQTxfTrg+B4/V0HNsKg0ODq5evbq/v//0009fuHDhsEvr6upuvfXWefPm8WMDPp/vxRdfXLdu3fbt2x966KGrr746G1OebiilV1xxxaGHHlpWViZJkmEYe/fuffTRRzdt2rR69eq77757/vz5fGQ4HCZJXzuWZeF7SiY0NTXt27dvwYIFpaWlwy6ilF566aXLly+vqKiQZdkwjI6OjkceeeTNN9+86667iouLlyxZkpU5zwS8RGxkpkz2lxxFIpH4kXa7feRrJ/adkZ8kDanA12wAgImilPJ+vkVFRSMvtSxL0zRN06LRqGEYvCkz79oR6+PBf+AhNT4CxtBE4rNjsr8SSowjyzLv983hFDYAAIBpQFEUEpcLxOOd0HBC0pRhjP3qV7/as2fPihUrrrrqqpE16TU1NTU1NbH/FhYWnn322bz8+YUXXvja176W8DMzpEUQhJUrV8b+K8vy/Pnzb7rppjvuuOPtt99+9tlnr7vuuthFZJTXDv/SgU/LGXL//fcTQpYvXz4y6xQE4eyzz479V5blOXPm3Hjjjffcc8+GDRsee+yxn/70p1iNPEOSHLPkr4jY48VT5oTnNMc6cOJhSh0CaACAzBIEwW63D2szPQxjjNdN82xaj2MYRqx6msWJBdYxU3WHxik+Po5PkGM/8I08NeYhsizL8eFyrJAZAAAAZpqqqipCiGEYlmUN+zwQK/DMzsxmGJ/Pd88993zwwQcnn3zypZdemuJnM0rpAQcc4Ha7/X7/e++9d9JJJ2V6njMQ/4y9cuXKTZs28ZY1HO91y79lDDtOEwgECCGqquIUwEm3e/furq4uSZJWrFiRYsQvCML555//+uuv9/T0oLNw5vBm6LquD9vOGOOpdKw9ND9Uxr+kD3uN8JNy+BnPUzDn6QHvMgAA2cfXrJMkKZU/YLH0OZZBG4ah67oVhzf94HXW3LA9JPw54UUj428SVy4R3+AiliOT/Z+AY60tFEWRJImHyPExNAouAAAAIBW1tbWEEMMwwuEwb+wQw9cnRGfhTGOMhUKhX/7ylx9++OHxxx//ne98J60PcqIozpkz5+OPP471V4VMcLlciqLEt0SPrZ/m8/mG1Z7v2bOHEGKz2XACwaTbsGEDIeTUU0/lzYJTxOuWwuFwLixxP13xfHloaGjYdsuy+CGZkpISviX2Q39/f0VFRfxg3uNelmUE0KlDAA0AkGcopRn9jJhKMXXC8/WQJgMAAECGFBYWlpaW+ny+zs7OhoaG2HbG2D//+U9CyKJFi7I3uxnBMIzbb7998+bNZ5xxxsUXX5zuBz/DMHbs2EH2H0uADPF6vZqmxa9b43a7q6urOzo6duzY8YUvfCG2nTH2+OOPE0IOOuggnGU46d577z1RFA8//PC0rhUIBILBYGlpKQ4JZE5VVZUgCB999NGw7ZqmtbS0FBYWFhYW8i0Oh2PevHlNTU2bNm360pe+FBvJGHvssccIIUcccQQeqdThXQYAAD4jYeflkY2Y46uYUcsMAAAAGUUpPfTQQ6PR6CuvvBKrDWSMvfXWW11dXQ6HY/ny5dmd4fQ2MDBw0003bd68+fjjj7/00kuTN5dLaMOGDdFoVFGUpUuXZmKGQAjxer1/+ctfGGOzZ8+ObaSU8p4nGzZsiF8w7ZNPPmltbbXZbCeffHIW5jqtbdu2rb29vaCgILYUZCr8fv/vfvc7xlhVVVXCJfJgUjQ0NDidzvb29tdeey1WemWa5lNPPRUMBuvr62PHbyil55xzDqX09ddfj2/Z0dLSsmvXLkVRzjnnnCzcgbyFABoAAAAAAABy3RlnnEEIee655+69995wOGwYxqZNm+677z5CyLe//W30gM4cy7Juv/32HTt2nH766ddcc03yU85DodAf//jHvXv38pW7GGMDAwNr1679zW9+Qwg555xzCgoKpmje09qrr776xhtvDA0N8eMxuq5/+OGHN9xww9atWwkh5557bvzgY489VpblN998c/Xq1V6v17Ksjz/++M477ySEnHfeeWn1iIAx8VU6CSErVqwY7VDNxo0b//Wvfw0MDPBDAoZhbN26ddWqVbws9+tf/zpq0jPH4XDwJTrvvffe9evXG4YRjUb/9Kc/8aLmK6+8Mr6oeenSpZWVldu2bbv++uv7+voYYzt37rzllls0TTvhhBNitdKQCpr761YBAAAAAMD/Z+++46Oo8z+Of2e2Zks6EELoHekKHCggoGJBRAERFJXDsx2eKKfYC/ywcQdWFETgBKWJoAIWkCIcShHpSE9IwFTStu/Ozu+P8fb20giBJQm+nn/wmP3ud2a+s1k2m/d+9/MFsHPnznfffTc3NzfUotPphg0bdvvttzNhMHLS0tIeeeQRbbvML73NmzcvVFzY4XCMGjWqdB+bzXbdddeNGDGiCrOnUdrs2bO//PLL0u1t2rS5//77S0+8PXTo0Ntvv52enh5qkWX5hhtuGD16NB/eXFhpaWkTJkyQZXnevHnlPbZLly6dP39+6fbmzZvfd999l112WYTHeAlatWrVrFmztO1Qzqm9XrVr1+6VV14p8dq1fPnyjz/+OPw7ARaL5dFHHy1dNSU1NfXdd989fPhwqEWW5d69e993333htW5wVgTQAAAAAIDaIRAIrFmz5ptvvnG5XD179hw8eHBiYmJ1D+oSl5GR8fTTT1fQ4Z133gmfCZidnf3zzz/v3LkzLS3N7/c3bdr0yiuv7NWrF9HzBeT1eg8dOrR169Zff/01Nzc3Ojq6Y8eO1157bZMmTcrbRVGUH3744euvv87Ly7viiituvvnmlJSUizjkP4r169fPmTOnZ8+eDz/8cHl9fD7fkSNHtm3bduDAgZycHKvV2r59+2uvvfacSnYg3HfffVdmpi+EaNWq1XPPPVf6wzOHw7F8+fJNmzYZDIaBAwfedNNN5RV0DgaDW7duXb16dUZGRseOHW+++ebmzZtTgvJcEUADAAAAAAAAACKCsjIAAAAAAAAAgIgggAYAAAAAAAAARAQBNAAAAAAAAAAgIgigAQAAAAAAAAARQQANAAAAAAAAAIgIAmgAAAAAAAAAQEQQQAMAAAAAAAAAIoIAGgAAAAAAAAAQEQTQAAAAAAAAAICIIIAGAAAAAAAAAEQEATQAAAAAAEAZ3nvvPYPBEBMTs2/fvsr037Vrl8FgMBgMDzzwgNayefNmrWX58uWVOcJDDz1kMBisVmtBQUHVxw0ANQkBNAAAAAAAQBkURQkEAoFAoJL9VVXV+iuKorX06tWrUaNGgUBgypQpZ93d4/EsWLAgEAgMHTo0Nja26uMGgJqEABoAAAAAACAiZFnu37+/EOLnn3/eu3dvxZ1nzpzpcDiEEIMGDboYgwOAi4IAGgAAAAAAIFJGjRqlbbz11luqqpbXzePxvPfee0IIvV4/YMCAizQ4AIg8fXUPAAAAAAAA4JJ11VVXNWnSJDU1dceOHT6fz2Qyldnt119/PXXqlBBi9OjR8fHxlT++y+XauXPnrl27srKydDpdQkJC48aNL7vsssaNG+v1Zcc+RUVFO3fu3LNnT05OTlRUVIMGDdq2bdu2bVu73V66s8/n27Nnz44dO06fPh0fH9+lS5cePXqYzeazDkxV1SNHjmzevPnkyZN+v3/8+PF16tQJv/f48eNbt249evSoqqrt27fv3bt33bp1K3/hAGoLAmgAAAAAAIBIMRgMkydPHj169O7du9PT01u0aFFmt7Vr17pcLp1ON23aNEmSKnNkRVH+/e9/jxgxIjMzs/S911133bffflui0el0fvTRR0888YTP5ytxl8VicTqd4S3BYHDPnj1Dhw49fvx4eLssy4sXL77ttttkueQX65s2bZqRkTFy5Mh333137Nixn332Weiuu+66SwugVVXNysp64IEHvvzyyxK7v/jii0888YTVaj37xQOoPQigAQAAAAAAIqhPnz6JiYm5ubnjxo375ptvSnfw+XyvvfaaEKJv376VX35w9erVw4YN8/l8/fr1u/vuuxMTE4UQ+fn527ZtmzdvXun+hYWF119//datW1VVvemmm0aMGBEfH+/3+48ePTpr1ixt/nW4xYsX/+Uvf3E6ncnJyS+88EJKSkpBQcHMmTM3bdo0atSo0aNHz5w5s8Qka20NxtTU1Kuuuurw4cMTJ07s0aOHTqfbu3ev0WjU+vz444+33XZbVlZWdHT0M88807ZtWyHEtm3bpkyZ8vLLL2/atGnp0qXnNAccQA1HAA0AAAAAABBB9evXv+yyyzZu3Pjtt9+mp6c3bNiwRIevvvoqLy9PCNGvX79KHlNRlMcff9zn840dO3b27Nnhd40ePXrSpElr1qwJb/R6vcOHD//pp5/MZvOsWbNGjx4dfu+ECRNWrlwZ3rJnzx6tevWAAQO++uqrqKgorX3o0KH333///Pnz//Wvf91www3Dhg0rPbZNmzbZ7fY1a9b07t1baxk8eLC2kZ6ePnjw4Ly8vIEDB65YsSJUymPw4MFjxozp06fPunXrZsyY8dxzz1XycQBQ87EIIQAAAAAAQAQZDIZHH31U216+fHmJe4PB4Pz587Xte++9t5LHzMzMPHr0qBDirrvuKn1vXFzc7bffHt6yZ8+edevWCSHmz59fehdJkm6++ebwlmnTpmkbn376aXjFZ7PZPGfOnF69eimK8vTTT5c3vCVLllx11VUlGoPB4N///ve8vDydTrdgwYIShaSbN28+ceJEIcSkSZPKLCoCoJYigAYAAAAAAIisQYMGJScnCyFKTEwWQhQXF2/dulUIMWTIkJSUlEoe0Ov1ahu5ublV+JpCAAAgAElEQVSV6f/8888ritKmTZvrr7/+rDWmVVX9/vvvhRBPPPFE3bp1S/TX6/XDhw8XQhw9enT37t2ld2/atGm/fv1KnyV0pVOnTtUKhpRw9913CyH8fv+iRYsqc1EAagUCaAAAAAAAgMgyGAwPPfSQEGLlypX5+fnhd23YsCEzM1OSpOeff77yB0xOTtbpdEKIyZMnZ2Vl+Xw+VVXL6+x2u7UFCVu2bFmZJf7y8vIyMjKEENddd12ZHfr06aNtlF5IUAjRrl27ErWhNbm5uWlpaUKIG2+8sczDxsbGtmzZUgihFao+6zgB1ArUgAYAAAAAAIi4/v37T5o0ye/3P/vsszNmzNAaA4HAuHHjhBCtWrVq1qxZ5Y9mNpufffbZSZMm7dmzp2HDhj169GjVqtUtt9zSu3fvuLi4Ep1DFS2aN29+1unPQoj9+/drpyh9KE1opvaWLVtUVS1xTJvNJstlTHk8fPiwEEKn0z3zzDM2my0YDGrtWtas/VtUVCSEcLvdpQ8LoJYigAYAAAAAAIi4rl27JiQkZGZmrlix4pVXXomNjRVCbN26VZtr3KNHj5iYmHM64JNPPnn8+PFvvvkmNzd38+bNmzdvnjNnjk6nGzp06GOPPda9e/dQCqyluiIsOK5YTk6OEMJoNIbWHiwh1O50Okvfq03NLk27UkVRPv/884oHoCgKM6CBSwYBNAAAAAAAQMSZzeYpU6aMHTs2Ozv7559/HjBggBBi1apV2r3PP//8uU74tVqt//rXvzIyMrZt2zZ79mytyIaiKEuWLFm5cuUjjzzy6quvasc0Go3aLqEkumIWi0U7lN/vL7NDIBA4p6FqTCaTEKJOnTrLli1LSEiooGd5c6gB1EYE0AAAAAAAABfD6NGjJ06cmJubu3z58gEDBgSDwRUrVggh+vXr16JFiyocUJblRo0aNWrUaNiwYS6Xa9u2bYsXL54zZ47L5Zo1a9Z9992nHbZ+/fpa/4MHD1amtEXbtm2FEG63u7CwsMwO2hRpIUSXLl0qn5u3a9dOCFFYWJicnNy8efNK7gWgtuPTJAAAAAAAgIvBYDDcfPPNQoj33nvP5XL9/PPPBw8eFEL8+c9/Pv+DWyyWq6+++v3339+0aZMQIj8/PzU1VbsrNjZWK75x+vRpn8931kM1adLEaDQGg0GtanNpO3bs0DbKW6WwTI0aNTKZTD6fb/fu3ZXfC0BtRwANAAAAAABwkdxwww3axowZMx599FEhhNVqvfLKKy/gKbp166YVuwjPmqdPny6E2LlzZ3mZcjhJkvr37y+EeO2118qswrF69WohRExMjFZIpJJiY2O7d+8uhHj88ceLi4srvyOAWo0AGgAAAAAA4CK56aabtArLb7zxxs6dO4UQHTt2bNKkybkex+FwFBYWll6pT1XVPXv2eL1eo9GYlJQUar/mmmvatm3rdruvu+669PT00nvl5uaGt4wcOVIIcezYsVdeeUVRlFB7MBjcuHHjJ598IoR4/vnnzWZz5cdsNBonTJhgMBjS0tKefvppj8dTuo82kspM0wZQWxBAAwAAAAAAXCQWi+XFF18UQuTk5Hi9XiHE7Nmzz3X5QSHETz/91K1bt9GjR2/cuLGgoCAYDKqqWlhY+O677/br108I0aNHD63msiYmJmbevHkGgyEzM7Nnz55vvfXWmTNnhBB+v//AgQMPPfRQnz59wo8/cuTI+++/Xwjx2muv3XXXXRkZGaqqFhQUvPzyy9ok7kaNGo0ZM+Zch33zzTf/4x//kGX5gw8+6NWr1xdffOFwOFRVVRQlLy/v66+/HjJkSLdu3TIzM8/1yABqLBYhBAAAAAAAKJfL5erUqVN5GbHRaFyzZs051dC44447Jk+e7HA4hBBdunQJj4krT1GUI0eOHDlyRJuMHE6SpOHDh8+ZMyd8erIkSd27d9+0adOECRO2bNkyfvz48ePHh++lzcsOMRgM06ZNM5lM8+bNW7Ro0aJFi8LvvfXWWz/++GObzXauw5Zl+a9//ater3/33Xd/+eWXIUOGnOsRANQ6zIAGAAAAAACoSDAYVMpXug5GxZKSkjp37qxtDxw4sGpDuuaaaw4ePDhr1qw77rijZcuWZrPZZDL16tVr+vTpZ86cWbRoUZnpcPfu3Tds2HDgwIGnnnqqadOmOp2uTp0611133bRp0/bu3Vuis9Vqfeutt1JTU995553u3bvrdLqWLVu+/PLLv/3229KlS6uQPmt0Ot1DDz20e/fu3bt3P/bYY02aNNHpdDExMZ06dRozZszHH3984sSJhg0bVu3gAGog6VxfJQEAAAAAAAAAqAxmQAMAAAAAAAAAIoIAGgAAAAAAAAAQEQTQAAAAAAAAAICIIIAGAAAAAAAAAEQEATQAAAAAAAAAICIIoAEAAAAAAAAAEUEADQAAAAAAAACICAJoAAAAAAAAAEBEEEADAAAAAAAAACKCABoAAAAAAAAAEBEE0AAAAAAAAACAiCCABgAAAAAAAABEBAE0AAAAAAAAACAiCKABAAAAAAAAABFBAA0AAAAAAAAAiAgCaAAAAAAAAABARBBAAwAAAAAAAAAiggAaAAAAAAAAABARBNAAAAAAAAAAgIgggAYAAAAAAAAARAQBNAAAAAAAAAAgIgigAQAAAAAAAAARQQANAAAAAAAAAIgIAmgAAAAAAAAAQEQQQAMAAAAAAAAAIoIAGgAAAAAAAAAQEQTQAAAAAAAAAICIIIAGAAAAAAAAAEQEATQAAAAAAAAAICIIoAEAAAAAAAAAEUEADQAAAAAAAACICAJoAAAAAAAAAEBE6Kt7AAAAAACA2kdVVVVVq3sUAABc+iRJkiSpukdRdQTQAAAAAIBzlpOT8/rrr1f3KAAAuPQ98sgjTZo0qe5RVB0BNAAAAADgnLnd7o0bNzZv3txgMFT3WMqmqqqiKEIIWZZluRbXnwwEAjqdrlbPfQsEAqL2/yCCwaCqqjqdrroHUnWKomhfXNDra3EcdAn8IILBYDAYFEJcAv+1a/Ul1IpfE8Fg8PDhw/fcc091D+S81OJXHAAAAABA9Zo6dWqDBg2qexRl83g8TqdTCGGxWKKioqp7OFUUDAbz8/PtdrvRaKzusVRdXl6eEMJoNNrt9uoeS9UVFxerqhodHV3dA6m6wsJC7cOAuLi4Ghu3nZXb7fZ4PLGxsbU393S5XG63WwgRExNTqz8MyMvLi42Nrb0fBgQCgcLCQiGEyWSy2WzVPZyyeTyevn37VvcozlctfpYDAAAAAKqXLMs1NnoIzWiryYOsDO1CavsliEviB1GrJ96qqnpp/KeQw1T3WKro0vhBiNr/6hQMBrUfhCRJNfYqau/zPNylcA0AAAAAAAAAgBqIABoAAAAAAAAAEBEE0AAAAAAAAACAiCCABgAAAAAAAABEBAE0AAAAAAAAACAiCKABAAAAAAAAABFBAA0AAAAAAAAAiAgCaAAAAAAAAABARBBAAwAAAAAAAAAiQl/dAwAAAAAAlKSqqtfrLS4uzs/PLy4uFkI0bNiwbt26FewSDAazsrKys7OFEAkJCUlJSXp92X/xqarqcDgyMzOLi4utVmtSUlJ0dLQkSZG4EAAA8AdHAA0AAAAANYuqqs8//3x6errf7/d6vX6/Xwhx//33Dxo0qLxdiouLp0yZkpqa6vF4VFU1m8116tR56aWXEhMTS3fesmXLrFmzHA6H3+83GAxWq/XOO+8cOHBgBC8JAAD8URFAAwAAAECN43K54uPj69evHxsbu2PHjszMzAo6FxcXT5o06dChQ40bN+7SpYsQ4ujRo/v27XvuueemTp1qt9vDO69atWrmzJkGg6F3796xsbGFhYUbN2587733CgoKhg8fLsvUaQQAABcSATQAAAAA1CySJE2bNi10Mzs7u4IAWlXVuXPnHjp0KCkpadq0aQaDQQgRCAReeOGFffv2vfzyy1OnTg2V1wgEAh9//LFOp3v22We7du2qNQ4dOvTRRx/9/PPP+/btm5SUFMkrAwAAfzh8uA0AAAAAtZjH4zl48KDBYHj22We19FkIodfrJ06cqNfrDx8+fOrUqVDnzz//3O12N2/evGPHjqHG5OTkbt26ud3uTZs2XezRAwCASx0BNAAAAADUYsXFxadOnUpOTi6xRGFMTEy3bt2EEIcOHdJagsHgihUrhBC33357+PqEsiz369dPCPHVV18Fg8GLN3QAAPAHQAANAAAAALWYNsHZbrebTKYSdzVt2lQIkZeXp910Op3aeoZt27Yt0bNVq1ZCiIKCApfLFekBAwCAPxRqQAMAAABALaYF0AaDIVToOcRqtQohioqKtJsul0tV1VB7OJvNpm0UFxeHtkN++eWXxYsXl2jU5lA7nc7Q8Wua0Gxur9cbCASqdzDnye12e73e6h7F+QoEAjX22VIZ2rOoVl+CoijahtPprN6RnA9FUVRVdTgc1T2Qqgv9IFwuV+mX7trF6XTW3kvQfieKmv3qpL341/bvJxFAAwAAAEAtVlBQIISIiooqHQFoGbHb7dZu+nw+VVWNRqMsl/wubKgiR6hzuN9++23t2rUlGrWKHz6fz+fzne81RJiiKKG4p5aq7QG6JhgM1vxny1ldApcgLomruAQuQQihfSulVquxl3D4WH4le5pN+kYp9hr7jLoEPn0Ul2QArSjKrbfeetZuX3755UUYTM1xyy23aB/sjB8/vn///tU9HAAAAAAXhk6nE+UElNqfAKG4WUuoy5xFFZoFVjqbBgCg1nn8uR8q2bNls9jpU/pGdDC4BANoAAAAAPjj0GYie71eVVVLTILWJqaFSmqYzWZJkvx+v6IoWmwdEpr5Vbr+hhDi+uuvv/baa0s0pqen33777XFxcYmJiRfoUi4wt9ut1RmwWCwWi6W6h1NFiqLk5+eXWeO7FsnNzRVCGI3G6Ojo6h5L1RUVFamqGhMTU90DqSJVVQsLC7UPq+Li4kq8CNQiLpfL4/HExsbW3g/MnE6n9nWTmJgYg8FQ3cOputzc3NjY2PBVbWupmvzqpD1Vau+zXVPrnyIV095gVfcoagSLxaLNdLgEXhcAAAAAhKSkpAghfD6foigl3u2fOXNGCBH6o9pqtWp/webm5tarVy+8Z2ihQrvdXvoUsiyX/tO39qZXAADgYrrEs8gFCxYYjcbqHkWNsHDhwuoeAgAAAIALLykpyWQy5eXlud3u8PhYVdU9e/YIIZKTk7UWs9mclJSUmpr6ww8/DB8+PLznjh07hBCtW7eu1dNsAQBADXSJB9CVl5WVtWzZsi1btvj9/m7dug0ZMqRFixaluwWDwVWrVq1fv/748eNJSUl9+/YdMmRIVFRUeJ+VK1dqGwMGDDCbzStXrly5cmVeXl737t3vvfde7ftxJeTl5S1fvnzz5s1FRUXt27cfMGBA374lq8+EDjto0KBgMLho0aJVq1bFxsYOGzasX79+QghFUebNm7d27Vq9Xn/99dePHDkyfJLC6tWrtRnQnTt31qZIhPz73//+5ptv9u3bl5ycPGDAgFtvvbX0tHFVVTdt2vT999/v27cvKiqqe/fu119/fatWrSrx0AIAAACIIIvF0qxZs4MHDx47dqxz586h9qNHjx47dkwIcdlll2ktkiTdf//9zzzzzOrVqwcNGhT6Q0ZRlK1btwohRowYcdGHDwAALnEE0EIIMW7cuJMnT4Zu/vDDDz/88ENMTMz8+fPDu61fv3769Omhm6dPn164cOHChQt79+79xBNPhNpnzZqlbXTv3n3kyJGhJT42b968efPmO++8M/xdnaqqjz/+uPa+ULNr165du3b985//nDFjRnhSHDrs1VdfPWrUKG27uLh4+vTpn3zyycsvv/zQQw+FOi9evHjx4sVLliwxm81ay8yZM0OLEIYOqyjKsGHDQutBp6enz5s3b968eY8++uiAAQNCRwsEArfddlvopt/vX7t27dq1a+12+/z582t7GRoAAACgVtPr9QMHDjx48OCrr746bty4Xr16CSEOHDgwbdo0IcTYsWPDyzpfdtllrVq1OnLkyAcffHDPPffExcUVFBQsWrRo//799evXb926dbVdBgAAuEQRQIsJEyaEp88hhYWFDz744AcffKDdPHbsWHj6HG7Tpk06ne7xxx8v0f7QQw+VXmD6k08+CQ+g77777sLCwjIP+/DDDy9durT0N+BC6XNIdnZ2ePocMm7cuNmzZ5d5cE14+hzurbfeSk5Obtu2rXYzPH0OV1xcPGrUqEWLFlVwCgAAAABVsG3btldeeUXb1v6smDVrlvb2PiYm5p///Gdo6T9Jkvr375+RkbF8+fKpU6eGjiBJUt++fQcPHhx+WEmSHnjggUmTJq1fv379+vWhdrvdPmHChDILQAMAAJyPSzyAHjZsWJntzz33XPfu3YUQBQUFR44c0Rrnzp2bkJAghDhz5sy9994rhDh9+nQwGNRm+D722GNaN5PJtGTJEkmSVFV95pln9u/fL4TYsGHDuHHjStSb9vv906ZNa968uRBix44dkydP1tq3b9/erVs3IYTT6Qylz3/961+vu+46SZIURbn11lu1xuHDh3/55Zelx798+XKdThfeU7so7bChUDs7O7uCB2fu3Lla+qzX65ctW6aV3XjzzTfXrVsnhJg4caJ26vCE+osvvtC6+Xw+7bF1uVxut7tEERIAAAAA50lV1dLTWbSW0u1CiJEjR3bp0uX777//8ccfVVXt2rVrv379OnfuXLq8XsuWLadPn6597zM1NTUlJaVPnz59+/YtsSwhAADABXGJB9BntXjx4tC2lj4LIeLj4xMSErRloJcsWXLHHXecPn061G3p0qXahiRJr776amhCwcKFC++5557wg7dq1SpUSLpbt24Gg8Hv9wshDhw4oCXFof4pKSkDBw7UtnU63cyZMx944IHyxjx58mRtvWmdThcTE6NlzTExMVqkLoR48803x4wZc9ZrX758ubbx2Wefhd6Vjh8/XgughRBnzpyJj49PTU0N7eL1erWaHkajMXThfr+fABoAAAC4sHr06FHmZJTyGAyGDh06dOjQYfz48WftnJiYeNttt5X3TUcAAGq7RvVtQj1LH1UIRVHio41n6YfzdokH0G3bttXry7jG6OhobWPVqlXaxiOPPBLeYe7cueE3P/zwQ20jKSmpxKFGjRr16aefCiGWLVtWIoB+8sknw29GRUVpAbRWi1kI4fP5tI0HH3wwvGf9+vVD25mZmSVO2qlTp9B2KDgus7ECoTEIIbZv3x5+lyzL2pSKdevWDRs2rGnTpqG7br/9diHE8OHDBw4ceN999531LAAAAAAAAMBFdiK1oJI9o8yXeDpaE1ziD/HkyZNLlMUoT9euXSu41+FwaBt16tQpcZdWYeM8tWnTpkSL1Wp1Op1CiJ07d954443nf4oSPB5PaHvKlCll9tHmgMuy3KRJk/B50EuXLtWmgbdr1+7FF19k+jMAAAAAAACAMsnVPYCaQitqUZ7KzCm+sEJnLHORwPMXPgO6PKFTv/3227Nmzbr88stLdDhw4MCIESO8Xu+FHx8AAAAAAACA2u8SnwFdeXv37u3du3d599psNm0jKyurxF2hNQzPx/79+7t06RLeEppzXfHU7CoLn7ZcmdJySUlJL774ohCiuLh4/vz533zzTeiuDz/8cNy4cZEYJAAAAAAAAIBa7Y8+A/qaa67RNqZOnRrefvfddw8ePHjw4MErV64UYTWas7Ozw5ecVlV10aJF2nYVVvAwmUzaxrvvvhveHl7vokGDBud62MoIn9NdYjZ0RkZGenp6enq6VgNk48aN69atW7dunbbaod1uf/jhh7/88stQ2ZD169dHYoQAAAAAAAAAartLfAb0sGHDyrurZ8+eTz/99KhRo9auXau1rFu3rn///kKI/fv3FxT8Xqp80KBBQoi6detKkqQFtSNGjFiwYIHJZFJV9W9/+1vogKNGjTrX4c2bN2/kyJFCiJycnIULF95xxx2SJOXn54cOW3FhkPN04403rl69Wghx2223ff7551okfeDAgaeeekrroM2M/te//pWbmyuEaNiw4bvvvqt1U1X12LFjWrc777wzcoMEAAAAAAAAUHtd4gH0WSUmJrZo0eLo0aNCiDfffPPNN98Mv7d79+6h7XfeeUcrNOH1eocPH17iOLfcckslVzsMZ7Vak5OTT58+LYRYuHDhwoULS3RYsmTJuR6z8h588MGvv/5aVVVFUW655ZYS9/7lL3/RNqZOnTpmzBghRHp6euluQoibb745coMEAAAAAAAAUHv90UtwCCGmTZvWrFmz0u1dunR57rnnQjcbNWo0adKkMo9w++23jx07tmpnf//998ur8jxv3jyDwVC1w1bSokWLZLmM58Bjjz0WipUTEhIeeeSR8o7w9ttvR3qQAAAAAAAAAGopqUT93z+sgoKCb7/9duXKlYqiDBky5Prrr4+Oji7dTVXVffv2ffbZZ7t27WrSpMmIESO6det2/gms0+ncuHHj8uXLc3Jy+vTpM2TIkDIz8Qg5fPjwkiVLtm/f3qpVq5EjR3bp0iW8QrQmGAweOHDgu+++2759u9frvfzyy4cMGdKuXbvSPQEAAAD8EaSlpQ0dOnTFihUpKSnVPZayud1ubWEbi8VisViqezhVpChKfn6+3W4PrSFUG2l1HY1GY5l/aNcWRUVFqqrGxMRU90CqSFXVwsLCQCAghIiLi4tozc+IcrlcHo8nNja2zBl1tYLT6XS73UKImJiYWj2rLzc3NzY2Vq+vifUVuvWZWcmerVrEvf9m2TFgTeB2u3v37j1nzpyOHTtW91iqriY+RapFbGzsiBEjRowYUXE3SZI6dOjQoUOHC3t2q9V644033njjjRf2sJXUqlWr8LneZZJluX379u3bt784QwIAAAAAAABwCaitHxYBAAAAAAAAAGo4AmgAAAAAAAAAQEQQQAMAAAAAAAAAIoIAGgAAAAAAAAAQEQTQAAAAAAAAAICIIIAGAAAAAAAAAEQEATQAAAAAAAAAICIIoAEAAAAAAAAAEUEADQAAAAAAAACICAJoAAAAAAAAAEBEEEADAAAAAAAAACKCABoAAAAAAAAAEBEE0AAAAAAAAACAiCCABgAAAAAAAABEBAE0AAAAAAAAACAiCKABAAAAAAAAABFBAA0AAAAAAAAAiAgCaAAAAAAAAABARBBAAwAAAAAAAAAiggAaAAAAAAAAABARBNAAAAAAAAAAgIgggAYAAAAAAAAARAQBNAAAAAAAAAAgIgigAQAAAAAAAAARQQANAAAAAAAAAIgIAmgAAAAAAAAAQEQQQAMAAAAAAAAAIoIAGgAAAAAAAAAQEQTQAAAAAAAAAICIIIAGAAAAAAAAAEQEATQAAAAAAAAAICL01T0AAAAAAAAAALhgDHpZVc/aS1WFkGXpIoznD44AGgBqPVVV1f/91erz+S74WSRJUivxC/wC0uv1svw/39QpcRMAAAAAgNKMlYiVVVVSVZVs9CLgQQaAalZmqhsIBELbiqJU12AkSSrvrosg/EGoPJ1Op21IkhTaDgm/IgAAcD6CwaAQwuVyORyO6h5L2UJvonw+nzba2kh7D+b1ev1+f3WP5XwpilJjny2Vob07rdWXEPpP4XK5au8b40AgoKqqy+Wq7oFUXegvHbfb7fV6q3cw58ntdtfM51JRUWUfWI8nUJNfnTwej/jP79zaiwAaACIrlNuGNrR3G6WnLZ/nWYLBoKIofr+iqqp2eK834Pb4ZEmSdbJeJ+v1OlmW9HrZ4fD8lll08mSew+nNOOU6/ZszP993psBXUOAPBksOSZJEUr2oBg0s7VrHtm9fr2P7FIslqnSwW3OE5/UVRNihydR6vV6EBdM1880TAAA1lt/vj8RXry6I0HstRVFq+5/ufr//EniXEgwGa+yzpTK0N/C1/RK0jVr9ecYl8IMIvSJVbc5NjVKrn0shiqJc/BlXlXRpPMIE0ABwAWhvIILBoPZLKxJzlhVFcbu9bre7qNjz6685J07kO13+7BzPqdOu3FyPy3WWM7Zqae/Rrc6mH7PTTjrP6byqKn7LdP+W6d7xc54Qx7TGRg0tfa+qf9eoK2w2axWvp7qF3vNV/M5Vi9q1fyVJugT+8AMA4ELRPs2NiYmJj4+v7rGUze12O51OIURUVJTFYqnu4VSRoij5+fk2m81kMlX3WKouNzdXCGEwGKKjo6t7LFVXVFSkqmpMTEx1D6SKVFUtLCzUEs+YmJiaPKekYi6Xy+PxxMbG1t4CfU6n0+12CyHsdrvBYKju4VRdbm5udHS0NqenVjMajTX21Ul7qtTeZ7um1j9FAOBi0t6uaflyhD4gVRQlP7/I4XDu2p39887MgkLf6dPO3Dyv31/F040e1XTvgYLdewuOHL9gXyk6me6av/DYp0uOv/dm3w7tm1XhCKqqpqad+m5t6sFfz+QX+Iodfo9HMRp1ZrPOZtWbzTqTUZZlyWzW1a1r6dS+bqOGdoPREBdrj4qKKlEYJPRhtaqqOp3uwr6T1n7WZX6ioA1DO90l8JYLAAAAAIBI4A9mAPgf2sRY7Usukf4OTiAQyMsrKCgo3L4je+Om03l53vx8r9d3Yb4farcbRo9qOn/RiQWLUy/IAUtTFPXBRzYMuuHYXx/8k9VqKSgoLCouDsr6gCT7JZ1QVaNQ9MGAJITeYDCbjFEmk9Fo1Ol0+w8c+9vffwwESj+8ZX8BbfFnJ8JvGgyS1aIXQrhcis9fxsNlMEhGg85slk0mnV4v2ayG+kmWdm3iOnaIjzJb6tWLi4qKOv/L154e2mcSpb86J0mSLMs6nY550wAAAACAPzICaAB/XOVFhxHidruPHj35y66cz79Iy8vz/qdcxzlo2SKm15/qBUWwa+c6alCYTLpJr/ycleUO7yNJYsqkzm++dzAnx/f+7CNa46N/7dC1c6IsS6VPaesAACAASURBVKoq9HpJ/KdaiKqq4V/42r0n97V/7jrX61r5dXrLVvZGV3UWwiJs//Pl1v9ZFkQVwiOEJyhURbZYDQY5EKhioRK/Xy0orKgMlt+v+v0BZ9jpD/xa+P2G38L7SJKQZSkh3njb4MYd28c1bpx8Yb9NqU3NLnPqtF6vL3OBRAAAAAAALj0E0AAuZaHKDEKIQCBwcRaf0dYD9PsDaSezjx3P/PKrk3v2FlRmR5NJ5/UqbdvEXntNw3r1ok6edFzdJ1n9D51Op61+bjAY/H6/1WoVQkyf2kuW5R0/Zy//4vjYe1scO+Had6Bg2RenBt3Q5Jp+Kau+SRt0QxNJkkIXrpVBDKetuaxN1+3QPn7BnP5/eXij23MO0bAkiSbd25zDIytJwZiEKfOGL5u+9t8/5VZ+vwtLVYWiqNk53g8+OhzeLsuiX596fa6s36VzU7vdooXFF/bU2mce4UtJaPW8ws/FpGkAAAAAwKWBABrApUMLarW5vZFYBrDMM3q9Xo/Hl5VVuHvP6axs5/YdOUePVbbUcquWMfePbZeSYgsNW5Ikt9utqqrJZGrSyOZw/M+hJEnSMkqLxRIq7KCqapfOCR3ax6iq2qxZ4tV96ut0OlVVnU7ndQOShRBut7u8Wd6h1XhCRwsGlTkz+/38S2aXTnVlWU5NK5499+CxE0XlXUJSPfMzU69VjOZKXnK4oY9dM/DQ0Rde2FH5XT6d23/vvrzXp++Z+HgnVVVf++fuKpy3YsGg+H5D1vcbsoTYJYSQJNH3qnqdOiT0vrJZTIzNbDZFIhrWPiEovRyi9uPWPh644CcFAAAAAOAiIIAGUIuFJjVfhKnNiqIUFzvdbveRo2d27DidmeU6dKQwJ8db+SP06lmvZ4+kevUsjRraVFXNOOVsmGLT7tISRrfbrdfrrVarNmdZW+tWo9Ppwpdu1wJrLaoOP0X4pFohhM/nK51phnO5fq9Sodfro6KigsGgz+fz+/2XtY11Op1RUVH16kbVrRtVXgA9amTzbrd2U6SqZ6O21i2mz4p/6e/rC4vKLqnRvl2cyaQbdmuzGTP3X9kzQQjRoX3Cgo/6+Xy+M/mBy7skjr27tSRLb0zbfSKtuMwj6PXSkJubbN6SmRlWq+SJ8R27dEp8Y/quHt0S+16V4nD69+4788ue3J935paY/a2qYsOmrA2bst6acUA72uVd4tu1ib92QLOE+Bir1VLyfBdU6U8OZFkOTZeO6KkBAAAAALgg+PMVQO0QDHMRTqeqal5e/pkzhV9/l7ZvX156urOouKKiw+XR6aTH/taxa5dEWZZ9Pp/X67VaLaqqrlt/qvdV9cN7SpJkMBgURfF4PIFAQKfTGQyG0ARYbap15KqIqKpaXFysZZqyLJtMpuVfpm/YdLqonFxYCPHW+/2DiUlnPbJO8Uf7ivUBb6EpJibgUoQUkHVug9Wv+0/t6ejYqW8PmDtjx4/bSpbjWPBRP1n+fbrx6//XY+LzWwfd0EyW5WAwaDQa69U1TPhbRyHE19+lB4PlltMOBNRjx4scjv+5kKlv7tE2du05s21H3hPjO3XtHNu5Y/SDY9sWFPh+2Z238LNjLlcZ08YDAXXr9ryt2/Pmzj8ihDAY5GZNbJ06Jtx0fZOkenXOM49WVTU394zD6ZYlSZZ1er2s1+uNRp3ZbDYajf+Zov77f4FQNq09Q0JPlfMZAAAAAAAAFxwBNIAaSgtbL07cLIQoLCzMOJX1ww+/fbMmw+Hwu91Vr+CxaMG1QgiXO2CJ0ns8HvGfysuSJFmtVi2J7t4tRluCrrj4v/N2LRaLXq9XVTUqKqqw0PPNmrQvV6XPeLOPxaL3+/0Vz2U+T4qimEwmo9EohHh84pbfMl0VdJYkMf3TYUG9scx74zz5hqBfEkJVhRaHSkKoshznL9aydSGE3eQIWGKKjHYhhMXvdptswx8f0O7rHfM/PeHz//cnftfY9UKIKLMuNtYUDKqP/vUyWZYffWJLUbGvYYqtXZu4rduzpr/eS5aCaekVlT35ZXeeEKJpE/tD97V7bdquM2e8Je4dNWZdg/qWqa/8SQgRH2/u17d+rz/FR0VFCSE8nkBhkf+xiT+WeWS/P3joSNGhI0VLlp0QQuh0UnS0oe+VSTcObNi0aYp2hMp48tlVR48VeTzBCj7nMBgkk0lnNMiJCeaOHeL696kfGxudlJRoNBpVVS3x9GCdQwAAAABADSGV+Po2AFx82guR3++/CHGzVifa7fbsP3Di0KH8hYuPFxRWZWrzg/e3u7pPA2179Jjvg0FVUX5/OW3XNu6FZ68Ivbp6vV5VVY1GYygN1ELnUOArhAgG1fmfHIqPN3TuGLfvYPF1AxrqdLKqqn6/X1sk8CKw2WxLPz+2Z1/eseNl17IIeeuDAcGEeuXdK6nBeu5cj8djNBr9fr/JZPJ6vdoEXm9QNciSJIRP1ueb44WqGoN+v6xXQ0U80o7M+ODQ8VRH5J4IzZtFHztebklrTVycccxdrS/vkiiEUBTF7/eXiJJzct3zFhzefzDf5zvLQOsnmR95sE2H9k1iYqLD6zgXFhYPGbHc779g12m36Qdem9zjioT6SXWSk+vodDpZ/u+EaFmWDYbfp5wzSxoAcKGkpaUNHTp0xYoVKSkp1T2Wsrndbm0egMViCa9mVrsoipKfn2+3200mU3WPpepyc3OFEEajMTo6urrHUnVFRUWqqsbExFT3QKpIVdXCwkJtRkhcXFztnazgcrk8Hk9sbGztXSjF6XRqFRdjYmJCb9Rro9zc3NjY2JpZHrBr9/cq2bN1q/iZM26qsa9Obre7d+/ec+bM6dixY3WPpepq4lMEwCVPK2GsKMrFmeDs9/tdLs+27cf37s1Z8dXJQODsH7wZjXLTJvaB1zXs9affC2X8a/6hr789aTbp3n2rt81mCAaDTqdTWwzw4zn9VVUNKOrdY9Z9+vE1six5PB6z+fd1+cxms6qqWn1nRVFClRO09xnBYNDj8UdFGe8a1VLLOq/qaXC5nJF5JMpmsVh+2ZXXob1x156cE6lnOfV11yRXkD4LIVRJUoUwm81Op9NqtQohTCZTcXGxzWYzyZIQIsccr0g6IUQdT55TZxaq6tP/56+pxi0ffrWlEELK+e3lZ7dU7bOBip01fRZC5Of7pr2zN7ylSWN7+3ZxDRtY7HapYUpcQrzpwbHNjEaj0Wg8ddr55HPb2raJPX6i2OdTSnyq+1um55mXdmnrGUaZdTcObNCubXy3y5suW77rAqbPQohiR+Cz5Sc/W34yvLFOoql3r7pNm9rbtKrfMCXebDaF3hrq9XrtTw7yaAAAAABARBFAA7hIFEW5mIlzYWHxz79k7Polc/0PmRUUMg53dZ96LVvED+ifoqpqKJXbszdv566cPXvzTp926fXyc89cbjTJQghZlvPzg1arJISQJOnzFSd+2HRaCPHxgkODbmqcmBCVne2uWzcqNB7t2s1mc1RUlKqq+fmeHTszFy09/s/XrjQadQ6HQyttHJGHo0IWi0WW5Y4dYr3eYE7u2at89Oh91ilOUpalrtnvkmKsIuAUQgSDQVmWJUnKiqoT7zkTW5xlMBg8OlOuMVbVlf1rSK1T/8UZN7/y6Kqc3Is0AbxiqWnFkgiu/Pr3eNdk0j39987Nmhi++z5j/8EzQog+veo/8WjHomL/+CfLLtYhhHB7lGVfnFz2xUktj74IcnK9n3+ZLoQQ4oDWEh9n7HNl3cu7JrdvlxQXFx3Ko2VZ1ul0tXcWDAAAAACgxiKABhARoQnOF63Oz5kzhXv2nPr62+MHfi3Iy6sotbRa9X16J3ftnNisaXRUlE773tb/vbp9ww9ZD97f0eMJnEgt3rY9e+26jLhY09vTr2rcyL5u/SkhRCAQnPXRgVMZzuQG1iu6xnXplHTseKHBIKelFQ69tdnQW5utXJ120w2NXC6Xoiih9FkIYTAYDAbD0mXHVnyZOuzWRsfTHB6P+txTl3fumBgIBPV6vd1u16ZUR/pRKs3tdlutVqPR+N7MPSVW6itT6pEz8e3OfliPwSKE0AnV4nM4nU6dTufSmVUhXAaL1e8VQghVVSuMO1W98el3Bs949uujxyuq73yu9DopoJzlOdnjioStO/LCWxLiTQ/f337r9tOfrUgXQni9yktTfr7yT/VO/eZMTXO0bG7PL3CZTDq76v/4wz56vX7/geyUBrEPjd98AUdeNZIkwv8Lnsn3rViZsWJlhnazTqKpbeuY669t2rJFYr16Cdr/BVY1BAAAAABcQATQAC6YQCCgKMrFrCwfDAaPHj05e+6+X37JdbrKXTbQYJBvuqHxlT2TkpIsBoMc2tfhCGiJ2x13renbJ/m1KW2EEPfet14IccftLV5+odszz2/NynIZDPIbr/wpEFA/nLP/hWe7CaEGg0GDwZCZ6Soo8jZvFtMwxSaE8Pv9V/dJ0DJ3SZLCCz2vXJX2yaIjD93fqn5yVLNmtqUrTl53TYoQQqfTVUvorNHqY3j/U8V4247syuzVqnmstTjHaa9Tmc4Oo82lj4qX9TpVyTbahCS59VHu6CjZ5w4ao4QQss8TNJrL3V/WPTzlRmtednJSotVqliRR7HAfOHjqqed/qszZS0uqF/X65CuEEAFF+vvTW/MLyv6gokT6LITIO+Od9NrPxcWB8Ma0dMdLz3QIBAIGg2Hv/uLHn/pp+us9FUXxeDxNGltlWZk38ypV6M6c8ZrNOlVVAwG1oNArhPTSlJ+rNv7KGHV786v7JN8/bpN2s+L/jjm53pzc7B/+/fuPPi7O2DjFdtfIlq1b1Y+Li9UaJUnS5kfX3hJ7AAAAAIBqRAAN4LxoxSUu8kkdDuf27Ycnv7LL462oZsUVXRP/Nq6j0agL29FnMBiFEIqi6HQ6IYKPTtj8wjNXLFpwrdbhjrvWzJvd32SStYmfWrvf7zcYzC9N3j5hfCdZliRJ1i45KcmSlGR54qktl3et6/EEru7bIO+Me8Gnu//vpc6yLNvt9iWfHf1qVZrfH5QkcfddzT746IgQ4vVpB4QQ997VOhAI6HQ6m80mhAgGVUkSkiQ5nc6LluA7nU673W42ScXF/gf/9kNldpk9o2/bts2FEMFg8Nejxx3xZ19xKCjrci2JJXJQLX0WQgQNZ1tLR5adifXs0Uab1SqEsNttSfUSZPmnylcradzQMuWlHrIsaYs6ejweIYTFYvnHK5ePfXhLZY8iRIn0WQiRccr59vsHH3+ks8Egd78i6oqudQqLvDHRJp1O5/F4/H6/Vu/bZhVCKEIIg15EmXU6nU6bJe33B1d/e3LxsuOVH0NpbVvHPv33znl5HqNRtVjMu/bkfbMm/dMlx0r3XDCn311/Xl/x0fLzffn5Z3bt3SqEkGWRVC/q6b936NC+lVa+PNTNYDBQrAMAAAAAUEkE0ADOgbZ4YCAQuJjTnDU+n3/f/tTPlh3a8ENWJXfJPeN1OPzx8f9Nymw2o9vtDgQCUVFRQgi73TTtjZ5e7+/TYJ986sf7xrQxm//bX5vLrNXJHf9Ix/QMZ7u2puLiYrvdrnX4aWvWG6/21B4WIURyfdP0qVfecdeaawekrPn+9yoHdeuYE+qY5i88ET62Ufd+X2K00XZDj24J945udzHnRGtrA86ee7CSP08tfRZCyLLcrlULRVH2Zp7xmexn37O8Sg6VqfAgSXszC3o2t4ZOvXLZsBtv/awyA9brpVde7uFwOEL72my2Xw8XTH5tY2V2D2nZIvrmGxqHr0z45Pg2H318fOLjXYUQgUBAy7VlSRQX+4QQRqOxvEMpiqIteC2EuPnGRoNvaixJ0hPP/nTqtOuchqR5YGxbvV6uV8+iqqqqqt0uT7yia4JWcVvrcPxEUbOm0Z+tODFz9q8tmkcXFflycj2V+XEHg+L0b+5HJmwTYpvJJD/xaLur+3YwmYySJPn9fr//92ot2szo8DMCAAAAABCOABpARRwOp8/nCwZVRVEsFrPBYLiYZ1dVtajI8e2aA3PnHSqs3EKC4VJTi1d8deLP97QNb9TWAJQkSVEUWZYLi/ynTrmbNTV88136yQzHlp+yrhnQUAjhcvktFoOiKH6/32Qyezz+6GiDTmfQckatvIYQokN7mzZnWZIkq9Uqy7o3pv0ihAilzzfdmLL621M5Z86+kl5Rsf/2oU1CuV6khTL0rGz34492ev7lbUePF1W8i81W8leGTqfr3KDOmfz8NJfiN1orlSZXSUBvCgQCoRXz6tZNvLJnnX//mHPWHae91jP8ptVqHTVmXRUGcORo0Z59eeMeaPnuzCNay3frst7551U+ny/0AUY4n+/syzkKIUIfNkx+vrPLLcY9fg4zsjXhax5ef23DLp0SWjaPNhiCPp9P+5SlWdNoIUTnDrH+gGhQ3xod/d9k/LMVJz7/4kTpY5bm9Qb/7419//fGPpNR/usDbW+6oaPJ9PvUdW1xUW1blmWny6MGg3a79SK/VgAAAAAAaiwCaAAlFRUVHz+R9fmKgz9syXI4/qfsgN2uf/ONPq1bNSq9l9/vLypy+v2+/HzP4SO5x47nFxX7Tp92nTrtslh0KQ2sLVvEPPzg1ZUcQ3Z23tLP9n61+mRR+blz3z5Jvf5Uv05iVJ06ZoNBJ4T4+8QtbdvEhcJfIcSJE78nxXl5nl925+7albtrT24gUPb8zwH9kr5fnymEePq5n56c0OXLlUcSE8z7DuRv35E97LZmXbvUiY0xms1aBQ/V41WKi32BgJrSwJqf7921J/fDj34sPbG0fbuY1d+eqswlpyRbzebyqyFfUCaTSVEUSZJUVf1y1dF1G84+qVySxFv/6FXmXfFxcfFxwuVyHcstdFtiz3qoeq7s7KhEVTqHgsKJQadenxje8txTV984ZOlZZ/L+7e9bPp3b32Qyeb1eLZCtsuhoOZQ+CyF0OlkIYTAYjEaj1+utZOJcHr/fHx9nv+fOlgOvaVhY6Htxyo7sHI/Npi/xH7Bi36xJ/2ZNuradVC9qwt86/rQta9kXqUIIg0EedEOjf761x+VWhBDRdkNcrCk3z3Ou4/T6gtPe2T/tnf0TH+s06KbOJWY9r9/wy7Mv/6JtN21svbJn0m1DLkuql1jBfHAAAAAAwCWPABqAEEIUFRUfPpIxd/7+/QcKHM4yMi+dTho2pNHAa1q2aJEshPB4PFlZeRmnir75NvVkhiM93VFBOeb8AnHqtHvbjlyr1Tjstk4Wi6XMb+urqvrbb9nzF+xdu/6Us6wxhPToVvevD7VXFF8gEBAi6PG4PB5ht9snvdjZbI5auy4jlEseOVp4x11rtO3OnRJaNI9p3Tr2k4W/x4iNG9vuvKNVq5YxZrNeCBEMBhumxDgc/skvXaEoym1DGhuNxp49k4qKPE5noKDAq9NJOTmeSa/saNUyNqWBNeOU88peSR/PP3SmwHvqVNl1M17/x/7RdzVbsPAs80xbt4p+5onOQohQcYYLzmAwaKVCtBUUJUk6cDD3H2/tdbvPUsL7iq4JPW9qlhqMWpYuyelH65jUK5KMHZs3LLEkncVi6dDIsjv1tNcWX/EBsyx1z2nktqKspOR6JRrrJCZMe63nYxN/LHOX/zldttsSFRBCeL3e0BzqKvj8i/9+sKHTSX2vTN66PdtqEYmJUUn17Fqm73JVpYyGxuFwtGkdK4SIiTG++UYvIcTOX3Lf+3C/1xvsfWVSXp4nL8+Te8bj9//+5B5zV9NrBzTd8MPpr75O+y2z5NMmM8u9dPnxsfe0Hjqk2agx6/z+4G+Zrtkz+h789UzjRtFn8j2HjhR+932G03UOAXe416fv3r4za+C1TRrUt9erF6+F+337dFr8cf2Jz29MTXOeSHOeSDu2YNExIURy/ajul9cZPrRN82aNzudHAAAAAACojaSLX8gVQA3h8Xj27Tvyj7d3p2e4vOXEx106xY0Y2qL9ZSmZmXlp6YWfLz+eccpVVOxXlKq/dOj10tV9krpdXq9Vq7jWrZoJIVJTT836aNeWH7N9voqWlrvvz22u7FnfaJTcbnf4a5derzcajVoV2iee2pKe8d8suE3r2PGPdNTpJJvNoKqqLMv/mL5rx885deuY357eWytlazabZVl2OPwWi04riWAwGEwmk9YtOdkmhCJJkk6n06YMezweRVFsNptWTlqSJLPZfPefNwSD5T4mzZvZT5x0lPdyq9dLM97sbrfbQ5U9LiybzaZdu3YzGAxKkuTxKH9+cEMFe0lCPDOx/SFjnCtYxlRlSag3N5Q6tG5eol1V1V0Z2f6omAs09jBBxex3JZt0KSnJobarBnzo8ZwlQLda9B++10cbmxDizrMtxKdZ8FE/SRLZOR4t465bxzz99V6Kotz9l41CiCt71nn4L+0VRdFKsmgPr9VqDQaD51PC22azvT/74EP3tfX7/VplD4PBYDabVVXVDivLssVi+S3TtXT58RbNolesTH3nHz1NJoMQIhgMaj9ih8N/6rRz7vxDJzPKHkmdRPNbU/87md3rVd6btX/HztwqD1sIIUnCZtNH2439r67foml02smiOfPLWAhRCBEdbejdq94dw9q0adOcstEAUNulpaUNHTp0xYoVKSlnX5e4Wrjdbu13qMVisVgs1T2cKlIUJT8/3263h0pg1Ua5ublCCKPRGB0dXd1jqbqioiJVVWNiIvBe96JQVbWwsFBbKDsuLq72Livtcrk8Hk9sbGyJOTG1iNPp1OYexcTE1Oridbm5ubGxsTVzlknX7u9VsmfrVvEzZ9xUY1+d3G53796958yZ07Fjx+oeS9URQAN/INoyZbt2/bp0xZE13/9WXjeDXnr2yfZeb3Dux0dO/xapCblRUfqXn+/42bK0bTvyKuhmMskvPndF0ybRoXXehBB6vd5sNmtxsDarN/QLLxhU0zMcjRraPB6P2WzWfqmbTFFr12Ws33jq1ck9tL2EEA6Hw2azCSG0etDa2y9VVYuKfK++8cur/9dDCwHtdrvWPzwT1OuNOp2kxWeqqv60LeutsOXpSjObdV5/udn6wn9dI4Qor5rw+bPZbNpQHQ6Hqqo2m630Eojh4uKMf3nyin2Os78Nqm9WxlzZsnSMmJaenmVOvPAloYPBx0cukWXxxv9d0ad3V1mWT5/OHDx8xVn3+3Rufy3ct1gsT72wvTLL/cVEG99/66rQr8jDRwubNYk2GOSt27PfmrHPEqX78L0+kiQpiur1ukNFkM+TVkk8tGRiOO2HGP4RhcFgMBgMoffcJfbS/o8IIe65f0N5NWeEEAaDPG9mX+0n6PUqu/ed2b03b8/evIJC3/l8yFRJkiSemtD+qitb10lMlGXCaACofQigLw4C6JqDALqGIICuOQigLwICaAC1g8/nO3U69/t1Bz/6+Ji//Bi0fpJ5yKCU1d9mnDhR9SmcFUtIMF3Vs05yfcuHc45UEIoJIdq2iXtyQmfT/7N33vFNVW8Yf+8eSboHLdBCoYWyCgVkbxBFnOBkKSKioDJUVBwoDgRFBBFEkC3qz4UKDvbem5ZVRlugpaUzyU1y5++PAyGkaVqgQAvn+wef5uTcm3Nvbi7Jc57zvBwpyzKqy4ccpoYBAIau6yWzDsxms67riqKgr+bIpyyKps+n7t+9JxcAli7q7hbpCIIQRdEwCIoidF3PPu94Y9w2WdZ79YwZ0D/B4XBomsayLNqVoihI+zaZTOgrDqo6aLVaKYoSRdGd8lEakRF8Tp5vcXnKp3dFVQtQVRV5q8s+idcEij0hSdIwjDfe2Z6R6UPiRNSJMzfulyzr5VUDO0eR7RrW9vnUwdNnHebQaxluKTAF518adtm/3KNrteeeaXny1Jk33t3rf8NGDYJfH9UYfcMzm83lNEE3TAweO7qxOxTFbDY/+8KGd95oVrtWwHsf7R7/VrJ7MgMJuMgQrev+XPw3GVEU0e8KXTeef3mjO9mGJMFzmLOmtTeJFACgjxXSwb3mFdJOFv3w84nMM3ar9YbUyaxZXez3RFz3bk0CLOaq+0MCg8Fg7jSwAH1zwAJ05QEL0JUELEBXHrAAfRO4PQToyniJYDCY6wQt2FcU5VDK6SnTD2ae8ef3bFA/4K7moZu35hw9Vjxj1tEKHwxJQvNmoY0bBW3bfiH1cNGyP8+UYxPi3XHNbTabphEoc6CoSAkKQrKyAwDQdyYvbDabKIocxyGrsiAI+w4UfTn9YkZwQnygrutuWc0wgCCAJIlPP9u7d98FAGieHP7qqCS73Y5Eao7jWJa1Wq1ukZEkSVVVXS4Xz/NOp5MkSYvFgnY+ZmTS7DmpVlupwlxkpG8BetzY5PAwUdM0mqZRhELFypc0TaNhI2ERifh+1OegQKbhU1ehPgPAxiytXUMf7Rfy8x1i8NUP2R+a/YoreeWa7JVr/izPhlabgvR3giBsNtviuZ2//+nEin8z/W+VcrhgzvxjT/ePQ1MgNpttztcd5y8+FhFOvTM2ya3Pui8YmqZNJhMAXGcYdAXiHgbDMLOndyAI4suvD2ZkWPs9kZDcNOzIsYK//ztzKDV/w6as3AvOfo/HIb+/y+VyT9UIgkDTtMvligwnR76YYDKZZEX/+9/M87nSgYP5BYXXVXrRk8yz0sTPD038/BAAtG8Tfs/dcXe1rC0K/E2rzInBYDAYDAaDwWAwmBsEFqAxmNsHTdNyc3OLi4sBTW4Xy9NnpmaekTq1j1i/Kcerc4tmIXXjzNt25B46VHDoUEHJvdWLD+zcqXpys/DAABYAnn5uTZlhu54EWJj77q2eleXYvDV35668nX5zNjypUd00eWIbAGL/QVtKaoG1WK5fPzghPjAkhEcSrZ91G0huE0Xx+AnntOk7na7LA37isbqr154LDeGbNQ3Vdd3pdHIct3PXBaQ+P/pIXO/7ahEEQV8CAJBfxv1yuq6jiAzkUxYEweVykSRJkmTz5LCOHaOXr0gvbWCJiYEHU4tKtm/Zlt0w7DOIwAAAIABJREFUMVhRdIoCVVUrUH1GYisAsCybXyBHhIuSJJU5tf7cy41TPNTnZmGkTYHjRf5GpcHlABOEqqopWfkuIQCu3o5Aa4pJlWSKdZGsoDrsjMkzx+PQofyr3iMAAKRn2J4ZtqF71xoDn4xHI3z4/uh+j9f9c0XGj7+c8LMQqEVyuOebIkn2p/vHo3kCp9OJksfRPISiKA6HA3U2m81ms1mSpMrjhkZx5wAwZFAcyu44erywWqQ4akRjdFUriqLrmqoSKLsDdYYrq2IahoGE6W6dQ0kynBuYAAAURR1Myd+6PWfTlmxNN0JDuEcfidN1w2ZTzmVJ+w7kFRbJDEP6WXtRkk1bczdtzQXY/vqopKZNQgVBCAkJQeI+BoPBYDAYDAaDwWCqHFiAxmCqPIZhnDqVufSnlP0H80SRuZDnLCyUPbVXT/W5bauwhLrmFf+e27Ezd8fOXNTIMGTve2PvahlRs4aZpklN03Rdl2WZpmnD0JG8OP/brjNmHQwJ5pb9VarMCgBxtc297qn+z7/n0k5Yl/542k/PN15rOnHyvpLtZ87anxywCv1NELB0UQ9d11HQMwCQJOk/p8JkMm3YmDXr29SePWr0f6rugGfWofa//80cMzLJarUiWdlkMj0/fAMKE/jis3YBFkNVnaoKhmEoiuJ2PV86Pww6J54vhPbjNkH3e6JuzRrmWbNTSg4pIID56ZeMku09utV4un8CAGSfl2JqWtyS3/WDwkNQQDYAvPXuru++6UySJE3TKamlargBAUyKbnE/DOWg0GWctpYR0xTE6J7qs67r+3JtunB1a5cY1RUiFyGlWVVVgb7oFreokgGgEVQeF2SQ1Jq1pQaXl4mqGv/8l/nPf5kxNU2vj0oKCTbpun5/r5gH7os9l2V/9a3toSFcXr63S33K9IMLv+1MUQQSXt3FAE0mU+YZV906nCRJKADa8yQgM77JZDIMA8W5XPOwKxw0j+JyuaKrUSSpulzAcRyKlnaL1OXcj1ubrh3L1qkd83T/OGS3dy9QIIjQAU/WomkazXzs3J3NcYYs61Oml3elxaQv9pMk1Kkd8OjDcf/77US/JxI6tKsXGFhJV8ZhMBgMBoPBYDAYDMYnWIDGYKoquq7v25fy0eR9mWfsZfos27QKa54U9M3c45s2n9+0+TxFwczp7QMDeJIkUPowRVF2u93huCL9WZZlAHBrUgP71RJF8bG+dXUd5i08/PijdSiKGjJsHQC0aRXaqUPUl18dPnnS9tXX3uoSQcCTj8d371qdJIlNW7Ja31XNbGZyLzgiI4SPJ7Sa+Nnu48etXpvQNPnZxNYREYKq6jRNosxlwzDKzJZyOBydOkZHhFOfTz3878ozABAczM34soMk2d1l6EiS3LsvBy5JzDxHmkw8AKCEDYqiVFUVRRHpcTzPMwzj9n56IggCXMqDJkmyenXfwYIU7cMJvHBuV5oiDMNQVTUinNF1vQLdsoqiuMvT6bo+d1ZnRdFNJtP4D3ceS/NhxEa89mazrR6HmOeCPFfZRQJ617nsSzUMY19Wgc6V16lqycswCbwBAIaB/NruDGIUpoyqRFKGGunMyyHF3FJytK+KjEz7iNFb3A9J8uKFMP3zdgBgtSkjRm1W1MvvxcDn1gk8Nfur9i6Xyy0l2+32GtXZrGyHrGihwQAAXiqzJEnIUC+KomflwEoFmmdCH/MK2ZVXI7q83eVD6yeYeJ4HoO67R1r+T6n5J488WOu/VWcmf9zaalPWrDu7dUfO8RPFn007IMv6+I92A+xmGbJXz+pPPt64TlzM9Y8cg8FgMBgMBoPBYDA3GlyEEIOpSui6brdLa9btn/h5SplL2mmaaJkcclfz0C+mHwYAi4V59JG4Ht1qooxXnzHKVwvy/9ol5e33dmRlSQAQEsI9PyShSePIvftykpqEU9RF7RXdagzDkCTJbDYblwRH5NIlCOLpIWtdl1zb773dok6cCSUDlAeGYXieRy9xLkt67Y0to15OatE8nCCI0xnWmBpmkiTsdjvP88imumFj+tffHPM8UfO+7QqgURSFLJy//5He95E6niNHJQdLvjRKVQYAWdaee2G9y3WFCkkQ0LBhUMphb8136YLusiy7XC6TyWQYBEnCjYtrQAXliq3KsJc2+O/52sQ2Zx2UXSMVo7wZ0IkB2iN3JbgfHjh91lneqoNGqJTHwMVDLlmDURRFTdPQKXKXFkEZLK++ue1c9rUkLLdvE7n3QJ67EF9J6iUEPd0vvnq0iSQv1hUkCGLX3tw5844UW5W5MzsKPO22PCPMZrOi6ABa+S9XDFyaB/L1DHHiVFHduMuFfZCKTVGU0+lEMz0Mw6B3JyfXsW//hTatqzVpXI9haK+qiRgMBoO5CeAihDcHXISw8oCLEFYScBHCygMuQngTwEUIMRjMzQCJtukZF37749Bvf5RRNg0AeJ5qc1dYUuPgpT+eshar53PVpQu767qO/LwlbbzXgDsl1mq1chz39azUiHDhi8ntNE1zm5SbJoUj5cjpdHpOdBEE4XA4UJSz21tNUdT8OV3eGb9T03STicnLd9aJCzCbzV6jJUmSoiiO4yRJNZkYm81mGIYoihRFFVvlM5k2iiYS4oMWzeuKvpGcOyfXqGEmSQKFeCDtGwA6dohduer88RNFABAdJX4+qS16IaQmT5y0N+OM1LF9VESEuHrtmW5dasiyRtM+tC3U3zAMXTd+/+OUl/oMAPffV+PPv8+W3HD6zIPdu9TYs++CrhsDnkq4QQ5ZgiDMZvO/qzLmL9pWWp/AQKZunHlgVzpGTY/c8h5qtIbU3hr/+A4pAMCfotc9mmjV4LL6fOhUptMSXuaoGE0JdRU4VY2hKbgUqM0wDE3TnukNbket3W63WCyKorjl6U8+aO7+rqwoxufTDhxK9RFi7gVFEcOGJCqKwnHcU8+scbd3bFft5Onis2clA+DoscKvvjn0wdtNV645f3+vWHRV1KvLT53UkmVZw4B/VmamHikY8XxDTZPR1Y7SNhYvPT3gqXiCAKtVCQhg0WetUiVvVDY8izSyLIsM+w6HQ1XVyHDS/YlgLgEAoiiqqupwONxWa1GAtq2DKUo9duwoqrdpsViCg4M5jsNiNAaDueUYhpGenr527dr8/PygoKBOnTrVqVMH350wGAwGg8HcmWABGoOppKDZ6QsXLui6nn1eGv1GqRoiQhSo++6p0bN7TUFgVFXVNK1JoxCUXFwhojMAEAQhCAJSkN37dLlcLw9PJEnSarUiFcnLIlryuEqarzVNs9lsb41tRJIkx3EbN51jWUpRFFEUkefRMDxr0cGhlPyMTJso0HfdFWGxUNO/3v9Y37r/rcp85aUmhmFommY2m89lSbVrB5AkgXRqhmFQLLLT6TQM5viJogd613ry8bro/CDvM8dxz7+4vl3bsN73xXz86Z7s844ZX3ZQVZ1hSIIgvIKh4VIEx9FjueMn7Pd5sDt25ZEkeDmbw8O4F4c2IEkyIT6AoqiKVZ8JgqAoimEYiqL+W33Gp/RcL96S1NDySK2MkII0c8FpAIDjV3Sw5J+6e/vE9pZqPyWOOOPwYYtoGKjfmxTLsay7pai4WLKElT0+wwh1FQAAT1NoSoCmaeRrVlXVHWmC+roVZ1Txz70PrxDwkcPrsSybdtL26ZR9Ltflcx1T0/zhuy127b1AELBn74WNW7I/mLhn5IuN1m28OIvTvUv04IH1FUXJy3d+NOnAO28kO5xqTA2zJEkP3FcLACiKQleyOxy5XeugTu3DGIY8luZomBiMPgWSJD36SA0AY//BgsT6QQ6HgyAIURQrYQB05cQdA8IwjNlsdkd2wJWx1Kg6KMdxXmZzTdOQWR4ArFZrTk4Ox3GCIISFheG6hRgM5ibw8ccfL1y4sGXLlosWLfJs37FjR7du3ZD3FgAEQVi5cmW7du1uxRgxGAwGg8FgbjE4ggODqXTk5OQUFRUhUUYUxZ9/P/XbH6dL68yx5FOPxe4/UBAUJAzsV+cG5QCgonYul6tC4mJLQlEUz/MEQeTlSTxvGIaxY2de/frBJEGZzYa70B+Somia/mvF6SVL0y6Njez7SO3u3WqShMbzPACcz5EEgRYF0uVyuXMtBEFA59NuV0wmBqmf6FmKonSdHvfujvM5DouZnjWj03MvrH/z9eS42maSJIuKZJo2zGbep1JssVgMw/h3Zeb8hT7qqplMtEvRNe3ybfaRB2v2fTgBGaAq5HwKgkBRFIoxOXAob8eu3MNHCrJKJFR07hjZJpFqq24PLDpFy+XNr9AoZkHye+ecFzXoGoKeFMnHR4eaSqxgPXomq4gPLmOoihSoXJ4LUVWVIAg0WQKXMpSRud4rkASliCiK4v/y5jiOYRiHU3tx5CZZ1gGA56l330wOCyFIkiRJdvQb2wqLZACIiBC+mNhakiQkfKMFubIse06NIEe2n5cr2YEgiDPnVFGkq0WwKExcFEWn01mB5SUx5QfdVbASjcFgbjR9+vRZtmzZb7/9dv/997sb7XZ706ZN09LSAICiKPT/nSiK27dvb9So0a0bbMWDIzhuDjiCo/KAIzgqCTiCo/KAIzhuAjiCA4PBVBi6rp89e9bhcLhcLkVRkJ4oCML+g3k+1WeWJV8aFv/bsswTJ61z56c99ECtRx+J81zVXiEgIydBEHa7/QZJzwiWZZEmGxoqEgShaVrbNjSSpDVNK6n89u5Vq3evWihYg6bpSyUKaQCQJEkUNADN4bhiE4fD4ZKZH346/Myg+na73VPf1HTmuWHr0N9Wm/rLbydnf90B5YRMnrLvqSfiAQDAt4vc4XDwPH/P3TE+BegnHqv13cIT7odP96/Xs0dN98PrPKUkSYqi+OGnu1MPF/rsIAjUyOH12uWvCCw8RakuyLrql6A05aEzP6Uk9k2MiQoKMPv5hipDWV9eDZ23F2QHRtMuW5jukGWZZdmS76yqqijUwvNiRkkXJEmWTGXxxOVyIYV69vS2ANTTz693OrW33tu55Lsudrtd0/R2bSKX/5M5ZWLryAgB7QddBj4/OGWGpJfsYBhGbE3u8+mHs7Md0z5rY7fbrVar2WzmeV7XdUmS8IzvzUTTNLvdbrfb8/PzRVFkGCYqKgq57DEYDKYCSUtLCwkJad68ubvFMIyFCxci9XnMmDGTJ092OByDBg365Zdfvvjiizlz5uAgDgwGg8FgMHcaWIDGYG4lhmGcPn1almWn0+nWs5DQBgBWm/L5tIOe/QkCJk1o9unnh3JynZOnpAJAdJQ4ZVI7pNBV4MAoihIEQVEU99LRG4rDSy0GQGcAZcKW7O91sChDtrQ6gQhRFE0m4tE+NZxOp1t9pmma4/inBq7y7InKDy7/+/zvf2wjCHh1VFPD0EsT993D+2FxjyHD1tlsl72uHdpFeKrPY15p0jDRUlGBGxzHnTnrGDd+tc9n33uzUbe0b2iXFY4tv84XCsk6kHzfy6KljKlgi+7yfgu9IMiCoOqE4grVJCAI/7+9UdE5r/AKzzkDs9ns5+1GMvSS77r0G7wWAI4dL0qIDzQMo3XLiOX/ZO7dn9e+TZD/wV4zqqq+OSZpwJD17gOs2A8m5hpwxxAVFhYiK3RcXBxN46KFGAymYsjOzhYEITT0cg1eXdeXL18OAGaz+YMPPkDT+VOnTt2yZcuhQ4fcdZgxGAwGg8Fg7hywAI3B3AJUVc3JybFare7wU7hUMg4ANE1zOp0EQfAcg36hVIvkH3s45tdlGfn58rSZR+67p1bPu2s+M3Rtpw5RTw+oD1dqc9fJxRwDj5Tnm4/FYil/cAFN0xRFORwOPyeBpmlN02RZJklSEASXy8Uw7NFjhR9+st0zHwOB9Og6dQIWfteVIHS73fs8CILgqZijcnmCILRoHr5u/TnUGBTIHki9bEzmOLJ5s3D0g1PTtOv0qpvN5gkTdx8+4m18jo4SJjwfUn/PXCLlH9RiAGhiMCUVeP7S1SiW0mTFFKozPFt4FvyXGgSwH9ootrnP/5CCgwJzyvJzi+dPmk2ibhiSJHEcV3LWwY0sy/7Nzii2G8nQKNe75ESFoijBQew7Y5PXbcz6YsbBmVPbR4STi+Z0cucFVyxoMOhvisLKQmXEPVGXkpLC8zxN0zVq1MAVCzEYzHVSWFhYvXp11qMugsPhOHnyJACMHTvWnfkQGRkZFhZ26tQpVPng1owVg8FgMBgM5haBBWgM5uYhy3JeXh6ybZYsUGY2mxVFQdW3OI4jCHri53uGDa5rs+vVqpkbNwy5q2W0qqosy6qqvnb92Xmzu6B96rp+/SGzKPEDUFTFjQmSLj9eERn+UVXVLT6WrBMIABRF0TSbdiI/sX64pukAMPSFTS651P0PeaZ+l87RLpfL5bpCJjabzbIsUxRF0zRSG2VZdrlcJEmePOX446/D+w/koZ4sS9arH7BjV5572/mzu8K1hj6jKGFU2o4gmJ27c2Z8s92rj9lMz3lOiTnxG+y53CgHRmd1eRko2jD02F9fL0h6kHIU22JbGASpCwE6xWqaRtN01MrP2OJsPwMIOLgc/ArQLpecZtOA9dMFSNnBsQz6yY1yq/1fZuj3uddlYLPZ3MI0KlwpiiJBkAuWnGrcMKRmDXON6iYAQ1VVhmG27sgJDeEjIoQH7ovq+3AsEhkrPKbGc2wAwLIsSZLzv+mI0zYqMyidAwBsNhvHcRzHRUZG4pxoDAZzbZT8xmKz2Y4ePQoAnqnQFEVRFIUycDEYDAaDwWDuNLAAjcHccHRdz8nJKS4uRg9LGmBFUVQURdM0hmGKitTCImdsjEDTxFuvNUPt7iXkcCleoEVyQEWFObjTNm6cNne1XLOhG8l/Z85K1aMFp9PJ87y7nkNoqAkA+g3ynVnhJrF+UPduNX2eW4Igtm3PnTn78KJ5nXVdV1XVZDIxDPPtdylr1l6Rr5ycHLJ952X1OaamyTAMTdM4jkMB3+U5FmTMJEkSJS+zLPvZ1AP7DuSV7Bkexv2v2wb2RIFnY17SQ7a67XVd11WVoqicdkMKAmNR3TzDMDSHDCADgNlszm/WJ3LjLELXSu4ZIYshBbkXQoN8F8dwOp0HizWDLSNal3baGIZBkj3LsmiixSckSSIpELnGvAoSemrQcElQfnZQ/K9/nJoxO9VzPw0Tg997qxkysPtxW1csNzQqHVPhoLuxJEnFxcUcx/E8HxoaWmlrj2AwmMpJZGSkqqoOh8Ntdv711191XY+Ojo6MjPTqXHXrfWEwGAwGg8FcD1iAxmBuIGfOnJEkyelUZ8xOzTxji68TMHhgfZa9uNwbFZE7eap4yY/7wsO4pMaBO3ddSDthHfZcI4ah0Y+ZGzo8lLbhdDpvm5hal8tFEERsjIUgCIqiNM2w2+0mk0nXjVGvbqFI74X2Dz1Y6/G+dRVFQStnFUWRZdnP2fhu/lEAQDosy7Ivj9qYk+stpLZsGeapPgNAaAiLxobE3zKPguM4XddZln3/4x3HjhUbAOFhQk6u74shMoL/sdNq1uGtmItZqXz+6axmjzMMo+t6rqk6eFjF3dhsNj04RmcEyuXjqA2C3Jb8wrL8cGNzDkCOSBvNIpluDWuK4kW52S5JqVbNoMqu2kyqLoJjWJZF75GfniaTafacg2vWZbdrG7Fr94X5c7qWeX0qitKlY43IcLPL5UqsH/7X3+mbtp5PO1mM1zhjyommaajeaWFhoSAILMtGRESgTCQMBoPxT2Ji4pYtWw4ePNiqVSsAsNvtY8aMAYDY2Njg4GB3N7Rgy2Kx3LKBYjAYDAaDwdw6sACNwdwQDh9JG/v25mKr6q5KFxTADH++kdVqpWneYrFknrHOmpsy8Mla23bknjpVlJqqrd+QNah/vZeHN7Xb7Xa7HWlnSCMmCKL8mcjlAWUg2Gy2W562UeGg85aRYa1eXXQ6JQCwWq0kSX7xWduXR212d2t9V8QrLzWx2Ww2m40gCJZlZVlWFKU08zXa7Xffduk3aPVTA1c98lDtn389WbJb+w4Rm7fkejW+8FxDRVFEUTQMozxvIsMwz7+0wWq93LM09RkAFtx7gC3w4dfOaf8cEAQD4M518YnJZOJzjpG+1OczjR+eJTVR8i+LxZJKbD6rbj57qm0Uef9d9U6lZ1wwRUA51GfOlh/Es+6R0DTt58IzDGPNumwAyMiwuYOzPXE6nV4J0ZqmmUSyXZvwV9/acXf3WgOfin1xaEOnU9uzL695s7CKWiuAub3xzG9VFOXcuXNHjuXd1aJOtWoRt3BUGAym8tOhQ4dVq1YNGDBg2LBh9evXnzFjBvrPrm/fvp43lqKiIqvVGh7u4/81DAaDwWAwmNseLEBjMBWJ0+n8+ddtU2ccKflUyxYRACCKpnPnrAdT8xYuPgEA703Y79ln4ZKjoWH8jh3nSZJ4ZmB9hmEYhqpYe7IoiiRJ3jaWZwTLsoqi0DRN0+ynk/cOG9owNJRE4QwMwyiKQlHU1m3n3P1pmuh5d024GOusFxXbSdLB85yf/AQkTBuGDgC6bpRUnwkCHnyg5rK/zni1B1gYi4VHf/sRghEoM0SWNU/12Q8/jIaANB86OADE/vqaTrEXmvUxYpJ9dhBFkSSJ0D0/W07v8HpK5gOX1H/lSFGp9uEtWbpp9xFLrdrlGKMBuh5guOx2JzqHBEHouu4zrRuh63p0lPhA7+oLFp+c9EnbkvIxWhzgpUHruq7r+tRJbbOy7HZJrVlDNQwloS6H1WdMOfG6VERRrBcfUlxcuHDJvqTGAV06N2fZsudaMBjMHciIESN+/PHH1NRUZHxGNG3adMSIEZ5ac3p6elZWVtu2bbEAjcFgMBgM5g4EC9AYTAWgKMq2HUcnT9l9LtuHU7VWrOnurtENE4PnzDu8ao23QOlJdJQ47asDsTGWkS81YRhwOBwVZ3q+nKhbYXu8RaACgABgt9tpmnY64fCRYgPg738y3xqb/NYbyTabzTAIk8mUnm6rXZvXdZ2m6Qfvj/vxfyeQv3nhd13Hvbvj1OnLelPnTpHPPp1oNpvdIhTHcZqmuTMraJrWdb00BZllyHvuiS6pPgPAuLGNVFV1Op3lCd9wOp00TQ96bm15zsPbw2vEpM0p7VkDiMze7wNJUi6rxXI5MVwQBJqm2dwTUf/N9LnVnubP/5RfDYrKeHVDLselaRiRUo4syxpBIAO4ruvorJZ2NlC8SUgIO3tu2uL5XUu7XD2rd7qRZVmWZYsFIiLMFEWpqlEycgSDKSfua69b51Ce50+dOvn3fxnJTaNa3ZXAcX4LbmIwmDuMkJCQjRs3jh49esGCBajl3nvvnTdvnqf9GQBWrFjhcrmioqKwAI3BYDAYDOYOBAvQGMx1cS4rZ868HX8s91Ye69cLaJgY6JTU/1ad+3h8KwBQFGXIM4k5OdKBQ/nubp07RsfGmNNOFPe6NzaulgW5OBVF0TTV4agY7YwgCFEUdV2/DaRnhM1mYxiG47jVa87/79dTinIxNKN5s7APP9k97o1ks9l86nTRuHdXGwaQJAwZ3CAjw/rPf5kA8MPiHgWFLodD4/kr7n7r1p9/fkhjz3wMlmU1TWNZVpIkgiAEQXA6nS++tN3nkJ56svaCJb6dyCRJlifLm6ZpgiByLyjDR5VLfX7o/hq9MktVnwGAACN22Zvo7xPth1dzXnCExzNSQfiGhZTTtylY4SyL6488kl92faRWIdoXP535+EWzKyTaT7dqjlwDgCAIlEMtSZLZbC7tbKBI9BX/pNdLMI19tSlJkpIk+VHtbTabyWTSNK3krMBNKzmIuUNA11in9mEsS5w+fcrpVKKiIiIicDQHBoO5SEhIyPz586dPn56fnx8YGBgUFFSyz/3339+9e3d868BgMBgMBnNnggVoDOZaUBRl7bpDX369/3zOZfGrbh1z+zbhR44WHT5SlJpSkJpSgNrfeX/H0Gcb/Lbs5I5dOapqAEDz5PAXhjbkWEBZBB3bh+m6XuGxGCRJCoKgqqrdbq/YPd8qCILgeZ4gCJIkXx69KffKAoC7914IC+NffHnj0wPq3dUyYumiHl9M2799R87sOanuPp9M2rP/wMUKgR07RG3YmOW5B5qmURg0ACiK8ve/Gff2jEGG62Ej1lePFmTFR0J0zRpiaeozACz96eRro5rLslxa6jFFUSRJ8jw/b9GR/1b5M8gDgCBQrwxv3LNHI0PXYKY/AdqTOptmlNmnMKrx5+IjcnHZtqykYH3ur5kA8NbXRz54PVhjhZJ9uOKcYBoAgCAIl8vlPvbSbF8URYmiOOjZ1e3bRvz4vxNzv+nocrnK9IyjqHSTyXTbXOGYmwxFUT7d9D5xr4HgeT4rKysvL4+i6MjIyMDAgBs5RgwGU2WwWCx+agw2bdr0Zg4Gg8FgMBgMplKBBWgM5uo4fTrzw0+37D9YgMQxmiaef7bukSNFO3fnHTtadOyoj+SC42lFr725FQAG9qvXqUOUKNIOh8OXcbMiMZvNiqLcNsIciq5WVfX1N7dJDq2w0HdYsyxr38zopOu6LOtvjNuWlS19+lGrnFznF9MOzPqqg8XCAsCp09ZNm7NCQvjevWJdLnX7jos1AzduztqyJWvsa8mKohiG4XQ6778v7skBq5Yu6q6qamGhXNqLJsQHnMkq1XI7eGADSZL8iFyapnEc33/wak3zp7e+Prpxj26NBYFDGq5ageEsAGcb9J7maA76FeowAdA1ht1yTvb04tc269//nuEe6ILFe/sPbuu1t1B7DkODqqq6rnvJ7k6n06fkJwjCzG8OuVx6927VVq/N/uW30w/0rl6ekZdWNBKDKROGYXie377zfKuWkbqul/9u6XK5zGZzfr4rOJg8fz47K+ucohCNG9e7oaPFYDAYDAaDwWAwmKoLFqAxmHKhadqq1TvHvb8PPezcIaJLx4j3JuyXnTDdV8lBT554rO6DvWuhIGBdd97o+n9ms/lG+KlvFYIgUBQq5cSbAAAgAElEQVS1b3/2p58dKrNzSDD3zvs70tKKASAggF26qDtBEOM/3LVkQTebzWazyQAQGUE92idGVVWbzTbq5aZP9F+Jtv16VgoAPDlgVWxN8ycftSIIIi/PNu/bDk8OWOXnFe/tGf3Pqiw/HSSHIzQ0xOVylVbhUBTF/oPX+D+u7+f3jI29QpClaNoaFm+5cNz/huXhVHK/WQV1Aby9yQMaCmaOWp1xedgmxvjjrwzPPifOORlbgWIOdrdESjkAhmGAy+UqqQ4risLzfEkBWlGUXXtyAWD/gUIA+P2P048/Wrc817BXKUIMpkx4njcMg6Zpu92uKErTJkEAQBBE+d3QyJs/YszmK5vXjn4p8dE+bVGOOQaDwWAwGAwGg8Fg3GABGoPxh67rR46mfzx56/E0a1Qk/+rL9desy9q1J3/N2qw1a/3Jjoj533ZhGEKSpGvWyEiSBACTyaQoSpmWaZPJdDtJzzzPu1wwddohJE2Wh9Ppl4+9WVLIz7+d+OXXUwOeivcMd0ZB23BJRQoO5goKrnDppmfanhq4mmHIRfO6rd9w1s/LURSxflOO/yFZbbofBzTP85On7vezefVocfG8R7wKGQEAQRB0n3HanKGU5lvXLif51ZNnFcT7fGpRiuPpxqJny5GtPhJCfll+7IHHW7kfaqqqqio64e48E09omi6p9DEMw9AkAKxaffFjtXJ1Rvu24f4FQY7jbuw6AsztBUEQZrN54JC1qmbc1SK8e+fqifUD0cdTEARZoQSBA0Mtba7IC4oivFYtTJl+eMr0w7VjTe+91bZBg9ro7o3BYO4cJEnau3dvampqYWGhn25jxozB9wcMBoPBYDB3GliAxmB8U1BQtPSnHavWZiUnhTSsF3A4tSAjwzZpSko5N6dpcvG8bgBQWvKvH0iSZFnWbaPTdV1VVYZhUIvV6qOCnCiKhmHcNoEbDMPoBvXcCxudzvLGs5Zk/cbsxo1Cli7qLklSae+Cruszp3c8nV48fsIur9dSFN1tji6NZwbWmbvwhP8+H0/av/i7bk6nU9d1QRAURXEPhqbpv/87u/9AfmnbJtYLnP31w6X9TOVF0fnct+ovH1lyj/kfQ2mojDhdvB9KqXZpAMw7eLlwZYJWfNB2+RSRBOgGAMDe4/YHdA1ICgDAMCiKomkamUx9yseapjEM4/WULMuRkUJhkWy1Xpwq2Lg5q2P7SD8CNE3TJElew+cLc8diGIbVal3wbefBL2zYsSt3x65ciiI+eKdF7VhRVdXUI4VfzUoReGrWtA6aJit+U26sVuvCbzv3G+yjZOipdPvTz68EgOeejn/80ZZBQTghGoO5/UlLS/voo48WL16sqmVXkB41atSNEKCdTueaNf4WVDVv3jwyMhL9rev6P//847Nb7dq1ExMTK3x4GAwGg8Fg7nCwAI3BXIGmaampJw8eOnv8RPG+/fnpGfbTpy4LvgQBX37WfvTYzaiWoBeiSEuSWr26afLHbdy11mia5jjOp2pcEp7naZoGAFmWbTYbqiJoGIZhwJ5955ObRmqaZrFYPPcmCAJBEJIklb7XqgRFUQzDvf/hrrQTxde5q1dHJzVvFu4zCMKN3W4XBCE9w1a3TkCt2IC/VqSj9oT4wDdeazR46ObSNgSAHt2iBz/TaeH3JxVfF4MbXTdcLvn3PzMffSQOlU/keZ6iKMMwtu/MXfpTWmkbxtU2fzPjIf+/UXlBgP4fFubnydt+C0rfwTr9Wa7cOE3hxbEtyWb3EKwgrfNn8XbTPkyb+fNFoTzEwnw4JGHaL6ePZFyc8KBkp8abAAAIwuFwiKJotVp92p8BQJblkgcly/L4d1qeTrd+8ulul6x37BDZq2c0z/MkScqy7FmNkGVZdPZKqtgYTHmw2WzfzeyItGNNM8aN3wkA9RMC33kjecW/p0+eso9+Y+vUSa29BGiO41wuF/rwAoAsy5IkDR1cf/Z3pUYwfTv/+LfzjzduGPjqK3c1aBBXWgVODAZT1Tl//nx8/OW1RLfqwy5J0qxZs/x0GD9+vFuA1jSttM4PPvggFqAxGAwGg8FUOFiAxmAukpeXv3Xb4cVLTx47Xqr0yfP0xs3nvNTne3vGDOpfT9M0iqImTdn7+uhmSH1DggWqaOf/pVEtLADQNM1ut3McBx5i9Pkc1+atWadOFTVLioCLNes4kiQVRWEYBvURRfE20KB5nv9v5blF31+jn9cLu12RZX82RqTdnz1XvPSH4+PeSH73g52o/ZlB9Xr2iFn8fRnR3s8PbQ4ANEMqqj8Z1DDg6aEbAGDZX+nvvJFcv14QSZKSJK1ae37pT6W6p8PDuPnf9kFSV5kEhoRCryEAQzRddzkdhQc2m05uDjx/2N1BFoKd5nBrdBOxQVsxJJxjufCLYzM6R2Y6VHACccFJZEkXTc0AkBikh7FGxlnpeIb9QpE6s/iypattw0CCII6fuWy3N2QnIAEaQA6qJsrFFotF13WfArSu6wzDlHxfbDZbeBj5zdedi4ulwECTqqoOh4PneZZlVVVFiwAIgtA07cyZIkXVps08dk+Pmr16xqBty3OiMBiEzWb7blanwcPWu1uOHCty25nz8l3L/sq4v1cNFPDiXpJSWKRZLMyYN7dmZTuqR4sP9a7VuUN0k0YhY9/eYZdK9TweTCkaNHSlIFDPD0586om2eN09BnP7MX78eAAICAgYN25cx44da9SowXGcHxm6nP+5Xy2iKA4fPrxke0pKyrp16yiKKikrm83mAQMGeN2XYmNjb8TwMBgMBoPB3OFgARqDAcMw/lqx/YOP9ngFepbE4VD/9+tJr0aKJOx2Ze78I1u3Z8+c3nHf/lxVNZKbmfy7ngmCEEWRIIiDh/KaNLYAgK7rJEmazeYXX94QHS2+/UaLF1/ZkJ/vAoCICGH8uBbPj9jgkBRFNXiemv9tV4qi0M8bVOCOZVmWZQmCKKfburJhNptHv74lK+vaZfSZX3UICuRQzcDZMzuZTbT/TBJFUdJO2D6auA8AXntzG2pcuqg7kk3Xrisj4zvnvC06KiI4iHM4yjvmqV8dCAsTPn6/1bj392Vnl7oVwxC//PAkRV21UEWSpCCahNZ3Q+u79UvTHgRBMAAMgOXKzoZhjJy8Nu3cFRnKBAE0SSiacbD0V/lr24XMXJfmYSsnPH67OikO/VHy5KOCgaIolva+GIbhcrlMJi4zM+9/v6Y/NzgeKcuiKK5afSapSfCZs1KL5tE2ybDZZJes33dPrKZpTqeTJEk/PncMxmw2A4CmaZqmoUlBRZaWfNflx19O/LE8o2T/n38/pSj6A/dFq6qq6zpN0z/8nNa+TbUhL64f8nS9aTNTz56TZsxOnTE7lecpVS372nM4tKkzDs1bdPTPX54URbHM/hgMpgqxceNGlmWXLVvWuXPnWzgMnud79uzp1ahp2sqVKwFg4MCBgiB4PSsIwt13332DBHEMBoPBYDAYT7AAjbmj0TRt+/ZDI0Ztup6d/PV3+l9/X4xuOHPGltQkzG63e0lsngIZz/OGQRYXS0NeWL10YffGjUJdLm37zuyvv0l1988vcD0zdI3DcdFam5PjePGVje5nnU7tiQErf1jUw2q1WiwWhmGQ9AwADofjeo7llkAQhCCY+g1adc0SIknCtCktR47Z7HLpL72Y2LZNdbvdbreXkQ4sCMLHEy+/9WYzPWdWF03TVFXlOM6PpRERFCwAwMvDG77x9s5yjtNqU60265ODVvkbFU/+t3zg9dsky1wCPH3JNi/1GQAMA5Qrp2EYmlBUgwAwAL56pSFFES9MObT/xOVJDpYhNFOQ+yGplFoVkCAI94VaWgee54uLre+8v/+ZgXWeH77tzdcb79p9YdOW3JlfdWBoKiSEdzql2JocTZtmTIk0DOM2MP5jKgqKoiiKy73gAABVNaKjRZahnE6VZSlZ0RmaeHHklmZJYTRNDHwqgeMoq9Xa58HYxx6JI0lS0/QBQ9Z57m3Z8vSO7aPMJgAAm83W+55qJpOJIIjMM1KThiEHUi4m0lxVTn1RsdKt16I//tfXYjH5N0hiMJgqxIkTJyIjI1u3bn2rB+KDnJycrKwsURR79ep1q8eCwWAwGAzmjgYL0Jg7EVQeraio+KWRK44cK7r+HVrMzGN96/ToVhMAsrLtUdXMhmG4xQVN05BMdkmAowYMXv3qyAYA8OTAUrVIt/rsE4YhDcNAtj4kVjocDhRWcP2Hc5Mxm8179uWOeqXJ518cuLY99OwRPWLkzo4dIl4Y2sTpdJYZyGCxWADAMAyepxxOLTpanDKpnaqqyDyOUk3KJDTEAgD1EqKubcw+CQpkf/3xsZuwSP/wsVP/7iooT09FNXiWdCl6WABDkjD9F+8VAPVriuCho+msUAR6gGLznnRhhRzWEm7k+7xESZIkCEIQBJvNPvTFbQAwc/axhg0CP5p48NOPWz8zqJGu65IkuXeoqipBED4jPjB3LJqmsSzx+ts7/PTZuCWbIOBYWvHzz9YPD+XTTtp++f3UydNWnzrymDe3jR/XPKYGh0zTNptt5pdtd+7J6/twbYIgnnrGX7Gv0lAUo9fD//tp8f1R1UIBgGEY7D3EYKo6NE2jgh+3eiA+OHTokNVqbd26Ncuyt3osGAwGg8Fg7miwAI25s9B1HS2p3rnr2CtjNpa9Qflwydra9WdV1Vi45OjQZxscPlwQE2OpXcssyzKS23iepyhaVXWWpYqLXQDw2dTUsvbqj6ZNQnVd91QuBEGoikm4JpNJUZRGDQLffm/3NWzOMKSi6H//ew4ANmzMeWEolEeCR0Kz2WyeN6erYRiKoqDEYQCgKEoQhDLX1DdNCrFYzAAQER6WWD/w8JEKmMa4p0f1N1/vTtM3Q40aP6+MoO12DS1hQcI9rSJem3l48guJiqLouu5w6anp3o5jgfOWyx2syaxKDMO4XC4AEARBEgIlxvTh0J8T64cMeSYefCEIwgsvbSgslAGg1z3VV/xzFqnNsTEWlE4jCCJBXI57VhTFZDL5T1nB3Gmoqlwr1nI63V8MkWHA2XP2dyeU64Yz/qPdD99fq1fPSDT54XA4WiaH/vNfZlDwtStNhgGP9vtz8dy7a9WKVhRFURSapt2RShgMpspRr1693NxcWZYrmwZtGMbChQsBoE2bNj47SJL01Vdf7d27l+f5tm3b9u7dOyQk5OaOEYPBYDAYzJ0CFqAxdwq6rrvrAf7w0/ZpMw5V4M5lWT95ynry1FGep+rWCYyqxiPpmeM4mw3CwwXdMEiC+HP56Qt5zrXrz13ny0VVE0a+1NhTfdY0zeVylVntsBJit9spitq4+UJG5rWo54qiDx5UZ8Hik5pmJDcL0bRyLYdHDmhN0xwOh9dJYxhGVVWHowwBunmzcPffs2c8Muvb9Ut+8LYGXxVfftahRXPfymyFYxiGrXR/fUw4m5Erb06xzhwdeyyj+NUn4pxOp6qqFCO8NecoSuTw7L/9sPU+W4FmDvZszBXDBUay0MWaAUVCsEKxoar1mx/6/blgHU3TJZ3LSN0rKpIBoHev2P5PJaz45+yjfWKPpRW/9c62N19v9sW0/TxPvfRiktlsJghCURSn04nCeaui6x9zg1AU5YO3m/3w8+kV//pIdr42OrWPMpkEd7a+w+Ho2D5UFMVqkaLLpW3YlLVuYxl58T7p/+x/c2Z0ql+/NgCgMpskSaJKmxU1cgwGc3Po3LnzN998c+TIkaSkpFs9livYu3dvUVGRIAitW7f2eW+x2+2rV69Gf//888+//PJLq1atXnzxxaCgoJKdAWDTpk0zZ870akSr8YqLiwsLCyt0+BWGe/mU0+msumun0PdVu91eFdP2vFAUpdJeLeUB/dyouoeAlgKjv4uLi6vuFw9d13VdLyoqqrqH4H4jbDZb1T0KhNVqreqHAJX77oSqo1f1ukdEVVSsMJirQtd1z6+bWdk5fR7/s2JfgiSJF4c2TG4WxnGkYRgURW3cnNWqZSTLku4b8bCXNhQWlpFKXB4IApYu7OF+qGkaSZIOh6Oc2mslRNfZ54dvuLZtf1jc4+XRGwf1j5s8JRUAli7qfv02cIvFoqpq/6fX+u8WHsYtXvAQ8kEDgCQ5Nm0+8s3cw9nnSw1B9smI5+s99GBzQeCvcbhXT/b53Gc/2clQhFJ61c2vRzV0KTrLkGAYdrsdubouXmMkO3rGYc/O3ZKD2vdK9rkfQpVNjsLAyChQZSU/lwmJ+GXB1gcfqFvybRIEYcaslF27L8z7tlPaCev4CbuqVxfPnpXeeat5QryFpukvv9qfnmH/6P1m6Jo3mUxwqQLn9Z0PzO2G2WzuN7iMz2/5aZgY9NZrzTwTYNyg6BhZpl4ctfnadv7+28ndujTxbCEIorKZKDEYjH9yc3MbNGiQkJCwbNmy0NDQSvIL3DCMSZMmbd68edCgQX369PF6VlGUZcuWdejQITQ0FH2N/Pvvv3/77Ter1ZqQkPDxxx/7jOxYsWLFu+++69UYERGRk5Mzb968qKiKDCXDYDAYDOb6ubvXj+XsWS8hZPrUHmX3u0U4nc6HHnpozpw5TZs2vdVjuXawAxpzO6NpmqIo7of5+YVDhi0vTR9MahIydkzyU34LxJUkLIz/8rN2hqGrqspx9O49OZ9/eeCJx+o+2Ls2ioEe+eqm7PMVZlX46P276sQFeraQJOl0Oquo+ozcrIZhLFnQ1TCM1MNFH3+6p/ybcyzxRP+Vn0xo+tWsowAwZ1anCgkhURTlrxXpZXbLveB64JH/rfnvafRTUxSFu3s0u7tHswMHjr3wSrnKWn76YYt2bRvf/F+qkRFhAN7FBkvyztxjk19I1HQdAFCYBgAwDDNneaZXz9V7CjvcrRg049lIO4pDRY4NCTRkTr2Qpeu6y+ViKarP4I6Lv17/0AM1SzqXXxmR9ET/lTRNT51+AACysiQAaJAYjN7WV0YkFVsVABUAdF1HjlSTyYQFaMwNJeVwYb/Ba7+b2Z4gVK87LZKkKUpb8l2XfQfyJ0/df7U7f+/DPZmZxU8PbO9uMQwDGRxYlr0JcfAYDOb6CQoKWrly5QMPPNCyZcsBAwY8+eSTNWvW9BPvzvP8TfivX5bl1NRUQRBatWpV8lmGYfr27et+aDKZ+vTp06pVq3feeSctLe3kyZP169cvuRXHccHBwV6NFoslJyeHIIhKorz7xO24qsyDLBN0FLfBIcBtcRS3wSHAbXEUt8EhQBU/CgDwLH9V1am0B1JpB3ZVYAEacxtiGIaqXqEU5OUVvjTq39PppaqTPyzq0f+ZVeVRn0kCoqNNY15JqlZNBACCIHRd338w//OpB0iS+GRCq+8XdD+XZR/ywjqbTSlzbwiziTZb6OzsMpyzJAFxtQM8WwzDqNLeZy+9uHYtdumi7k8OKNccwOSJrWvWsOzdd+79jw44nfrbbyYThHKdKzpomhYEQdd1nivX/d3l0lVVZZgrhNcmTRI2rYlPSU1b8sOxA4cKUKwEQhTpsFDu1VeaNGpU5xaWAyIIYsn4dhs2HAYAi4WZtyYPAFyqbvMIHhk+NWXayw0BAEXToq9HJEkWSkTKaR+fI3vmGbF2bQAAQ+dteaER1ajASPSUkn8eLknYusNOmgMffqJR6p6z9euZPC9dkiRdLg0Anui/EgC6d622ak02eHwzs9lsJAFeF7vD4TCbzVUx/Rxz47DZbDO/bF/OeaByMviFTVM/bW2x+I58sdlsdePYRXM6URQ1acr+fQfzyr/nOQvS8gtdo17q6vW1Es2s4CqFGEzl5+233540aRL6e8KECRMmTPDfHyW/3+hR7d69u6CgID4+PjIysjz9CYKoUaNGo0aNNmzYsHPnTp8CdLdu3bp16+bVmJ6e3qdPn6CgoNDQ0AoY9w3A4XCgihGiKIqieKuHc41omlZQUGCxWKr0KpkLFy4AAMuyAQEBZXautBQXFxuGERgYWHbXSolhGEVFRej7TFBQUNX9miFJktPpDAoKqroT9u5QnYCAAK9flFWLCxcuBAYG3oT/2m40lfnuhC6Vqnu1I6r8JYLBeFJSena55MlT1q7454z/DZ8YsNLPsyQJyc3Cs7Kkt15PDgpiULhzcbFr775sTddnz01D3SIjhDff2aYo/kTQkBDWbGJEkQ4KZB9+sG7t2qHRUeEkSdps9rvv+8H/IL+b3cVLobDZbBaLxR1OehtQHjcrQcDSRRdXx+TkOh+6PyYhITSutujpdr820FcxSZI2b80t5yaappX8ukAQRKOG8Z9MuEmZzlfLrl3HXh7tXYGzbl0LD9C1a9ShHDU1w2EYMHpG6sSh9USeFkXRbrczDMPz/KJVvr3hk5ec+uCVIJFQgqNjIMjk9az7EtXsVjogRAwKbNLYKcsXZ1wEQaAoqrDINW/BUfcmUVEiAHAcSZKk2WxWVZUgCJR4oOs6QRDI+K/rutPp5DgOlUmskPODuQ2gKWXwwITvFvoutkmScA0Xy8ix2xo3DBk7OkmS7D7jyyRJYhjm9dFJAND/2TXlf4lfl2Xm5//ds3utRo2qm02i5y0FVSnEMjQGg7kqNE374osvAODee+8tvyJAEETNmjUBID297HVgGAwGg8FgMFcFFqAxtwklpWfDMA4cPDVi5DqtrKiB0jCbmb4Px/XsUdPT5Wq3u76amXLgUD7a7ZeftxsxjP9q1iEAOJcllbYrgoD776s5eFDziAgf9hBFUZ97oYxY6qcer8UwF6U3JEMrimI2m2+DUiSeKIry/cJu/648s2DR0dL6LJjbSdf1gkL78Je33d879qnH4+12+/WrzwhN00wmU3S0kHaiXLK+omj8zUtvrgD+W3lg/ISdJdvT0qwAcDzt4lH3f7J2/aQogaPg0kQrknoH3xu165hl0X8+Cml+MH1vjzr8PY+I5rDwK54gLwpnKHHFcfYURVG6roqiaLVaLRbLyDGbiq2yJF388PZ5OKagQA4N5Z54rNYPP53+bdmp7l3DSr4cy7Icx6GxIX2c4zh0H0AJBpg7GV3X72oeUZoAXR5puGZ1MfOs9y39YEp+/2fXjh2dlFjP4s6l8URRFIIg0jOdVytwr9uYExDAjB23FQDMJrp5cmjDBmFdOtUOCrKYTCKSoSmKqtLuGAzmdqV3797VqlUrf/+bYF9KTU11uVwBAQEdO3Ys/6JdwzCysrIA4KoOB4PBYDAYDKY8YAEaU+U5cybLMIygIIssy+dz8tPSCv5bmX42y372nKSq1yI9R1UTXxjaML5uoPsrO8Mwk7/Ym5lpz8n1VntfGVNG7alaMabRI1s0TapVmgNF1/X+T/+cecbuZycJ8YEP9I5HtddQi2EYDMO4XC6f68GrLoZh2O32u7tXr5cQRJKE06kePVa49Mc0d4ewUG7B4qOr12Q/1rfO0kXdJUmq2PgFZGx8sHetDRtzytM/Le1cs2aV1OlckszMbJ/qsycR4fz999Vq3jz8dK5z+dacjkkhFpEGAE3T0ATPXfUDvl+VpeneH66n74lk4mtvXp3atHlxxumC/fsuPNSnXmhsDB0aadZUVNxZkiRBFB0OB4o6MZvNhmG8+3ZySEx1TTe2rTrw+7LMX37LAACTiV7+X1ZUdVPzZiEmk0mSJC/PqSzLuq6zLCtJEnrots9zHOdTHKz88DxP0zQ6z7IsV910ncqA2XzxltssKXTv/qvIxECwLPnz9/d98NHmAynetbA/nbK/WqTw+SetfSYgybIcXY1a8l2XLdvOz5id6vnUuNebCgL95YxDuRd8zJH8sfzswH51Fi45YbOr6zeeX7/x/NffpAAATROxMeboKDE6yhwXFxgbE5jUpE6VXoKNwdxmdOjQoUOHDrd6FFewe/duAOjZs+dV5X0VFxenpqYCQMuWLW/UyDAYDAaDwdypYAEaU4UpKCgcNuLP42nF17+r9m2rDepfz2xm3KLz2vXp8xakLZjbFQDy812791y4qh2yLPn6mEZdOzfh+TJkguUrdvlXnzu0ixjYLxEAPJdga5p2m3mfPXG5XOFh6I2g42pXX7v+bHb2xYN9a2yzkFDxmYGJTqfzRiT/omTGyEjTd7M7Tp5y4PARb+3JC6vN33tXqTAMY+Azf/vvQ5Lw5ZT2yGgfTyvN4iNW78nrnBTkFkYdDofT6WyZGLithCoXWjO0kKCC2zcusOV/8sk+AFjx9xkAiI4Sp0xuh1IX0b+8IAAAHRT2zy+74mpb6rdooDps0yZv2b7jAgA0aRz60AO1vph2oGZ18d23mptExjAMmqYZhkEubPcr8jyPUh29YFm2ygnQNE0jBze6qgmC4HneXY8Ocw0YhtGqZURCXfO9d9cCgPM50qix28q/+YlTtn7P/P3jwt52u/zc8JWS4wqhOfu8o9/gtclNQ8e83MRu907kQO9jk0amxXM7p2fYxr2/C7V/NGlfdJT42cetSJL84ee07l1qTJqyL8ujSu3iH0+/PrrhpCkpnntTVePESeuJk1aA86iFINYOf77B04M6VfUYOAwGcyPQdX3t2rUkSTZr1sxnB1VVly9f3qRJk+joaKRQy7K8bdu2n3/+OTs7OyYmJj6+ysysYzAYDAaDqSpgARpTJXE6ncNf+XXvvoLr2QlBgGFAt87VhwxOVFUjO9tuMjFLfkhd/vdZt5jw5MByFcRzIwjUpI9aJiXVK2finizLn0w+WNqzLEuOGFYvL9854ZNdw4fVM4lCWJjocDhuM9dzSdymQkEQfvsj/cIlt+DSRd1tNpsiSxUTt+ELVVVRYDHDMO+Oa/Hq65vPZvkT+k0m4YaNpYI5ezbXJZeaC0BRBEUR9esFoYwXlKdsGAZLk1/+kpF+3vHlSw3QnIdhGP26VevZMuz9+WmeeyjiLxZjcYiW5skhu/fko4fnsiSHw8UwlMvlohn2RFph3fggm1M16Rd6dK+9bfv5jV+u+3flOQB4eXjjNq0jkQI7++tOW7ZmmURG13Vd1+p3kjEAACAASURBVEmSVFXVy8mlKIrPKF6bzSaKInJGV2YIgkC6s67rkiR5fq5RfVH0bGliOs/zWJ72gyRJgwfEmkwmdJFs3ZHzwpD4mXOOt2kVtmNXHkGAe4lMYADLsmRJV7LLpT/0+B9TJt7175/9D6UcGzF6m1eg0559ef0Gr328b9wDvWJ9zocRBFG9umnAU3UXfX/xw3IuSxo0dD0ANG4YPGrs1v5P1O3ZvcbI17fm5V98lz+bdmTkiMSpXx32c2iGAV/NSv1qVurED5O7d2uFZWgMBuPJ5s2bCwoKgoKCEhISfHbQdX3JkiVz5871aicIIi4ubuzYsVW3Uh8Gg8FgMJhKCxagMVUMm80+ecrqP5dnXsO2FgvDsVTPHjVdLq3vI3UMw9i3P+vTz1NWrzt7PUMiCKgTZ3l1ZLOGDeOuqk6UYRgP9v3R/ZBhyKhqfEJ8QMMGQSdO2P5bde6Lye1CQ3gAiIgIVBQqLEzUdd2n4nZbQhDEjFmpW7edBwBRpKtF3vCsZaS9mkwmANB1fdkfJzzNiT5JalL3Ro+qojh4yF9NoSULuiOhE6m3iqJYLBabQ126+tzM0Y3GfnPkmz8ynn8gBqlsDofDwpEPtIv4Y7OPoBKFZHqM7DrAlj3yxU0AEFfbPHHy/vfebuFwOGRZTkgI3r0np1nTMLvdznFcm9bVHE5l/tx6LEO6XC63imez2Zo09i6wKcuyyWRyOBwkSSKDsE9xFrVXzvqcgiBomsayrGEYiqLIsuwnvhylz6MLkiRJJLijQ7ZYLCiBpDx1O+9k3B75XndHsyzbvm2NlMMFLw1roqoqRVF/LE///a90goAP3m5hsTCj39iak+stQ49+Y0eAZc/Cufet+3fgug2HJnyyV1aumMj58eeTP/588rWRTZIah3hZ8iVJysnV3eqzJwdTCgBg8Q9pi3/wfnbarGN9H479+beyi4C98fYe4p09499pcW/PFjSNqxRiMJUINI978+eHVFX9/vvvAWDQoEGl5W8wDPPJJ5/s379/z549p0+fttlskZGRycnJXbp0iYmJ4atWaQsMBoPBYDBVBOLOEbMwVR1Jkr6cvvZ/v56+2g1DQ7n2baMKi+TuXWrE1w10OtUJn+w+cbICgjvatQkf9lyzWrWir0p3dvP7Hzs2bcmOq2V2ubT9BwqPHb88JIKA7xd2JwjCMGD0a5tHvty4Zg2zYRgURcmyXOXiBa4NUTT3G3TRgU7TxHezuyiKU7/a2l7lBpXIU1UV6ZvIOOlwuAYP3VjaJgP71Rn2fOcbNJ4K5+tZ6xZ/f6K0Z5cu6u4VaMtx3Otvbn+0f/zitRfzZ2aMbODW1ywWi64bw6dezgoYPayJnbegv1nQWdCdhzMbNggmCEJyqDSlsyxbUhGmKEoURbvdXv531mQyOZ3OMvORSZJESdOVKqzGbDYrinLNH2GTyaTrOk3T6ExSFCUIgmf+9e0KeQlVVa/5JkAQBMv+n73zjo+ieP/4bN/bkh5IQoAEQtcAoYgoShURrFjoHRGlIwo2FH4WUBGkS1OKIH5VRLDRi4p0AQkQQi8hBEJye7u3/ffHwHlcLpcLpMK8/8hrb3d2d3Z2di/3mWc+D02SJAAYjmOwDVmWtW187oLUf1Oz53ze4mKG/PaEXT6GG5BHWseOGtHCwTKLFv/15VI/mjKGgddG1K9XN9S7y8ExrS8Wpm7ZnlGo2rZvXfEXf9k+/UJR2AcTHmjdKjn4bGMIBKJosW173759a9as+eOPPw4cOJCRkQEAiI6OTk5OfuCBBx5//PHGjRuXdh2LhdOnT3fu3HnVqlXx8fGlXRf/KIoC/3vhOK78BnebppmdnS2KYrnOAZCVlQUAoGk6JCSktOty6+Tm5tq2HRoaWtoVuUVs287JyYET78LDw2/tZ2xZQJZlt9sdFhZWfqeCuVwu+E9jaGhouU40nZWVFRYWFuQU8BImpenMIEvWqhkxd1bHMvt2UhSlRYsWCxcuTE5OLu263DplsYsgED5omjb18w0rvj1R2B379qrVvl0Vy7JxHFu+Mm3W3EMXM253Vj6GgScfr9L1+eS4uGiCuMVvO9u2P5+x+ZtvTwAA/vzzct4Ci+a1wjDs+x9OrPwuXRCoqlVCwI0scHeJ+iwIwslTzg7tq/zy25nZ01ts2XbBMNTiU59ZlvWWBS3LguKUKIoB9urRvVxl6Qk43GgYJrR08Ai7qqraAMvI1j4bUoelCdM0vbUtp9PpEyTF5FyBAnQtzMlilq5pZjUHhmFOp5OiKFX1r7qapllYSdGyrGCy80HT6rL2n5AkSYIgkCSZN61iMMC9PP9nm6YpSRJBEIIgqKoaIJi6XAOvzrIsaNEOVXjbtjVNK5QfEYwf9+mH0MakX69Enr8HABAWis2e1vzIUeeHn+732f33jRfXb1458Z0mA/o+2O2FRnPm/fn96pvm4tg2mPTZPyxDvPtWSmzF6wYp0A+6X68ag/rXffWNHRcuBvsdtG5zZquHKm7aesl7pYMlFLefzq/r9phx23l+x/QprRo08D/pHoFAFB+GYYwdO/bTTz/1WX/58uUNGzZs2LBhwoQJgwYNmj59ermWGBAIBAKBQCBumbL1yxyB8MGyrKXLtn8+62CQ8tTTTyZmX5VfejFZVVWGYaZM279seZrPdOlbo2GDiI4dqrR4sDbPOW5zlNW27RGjV+/anW9Ww9q1wliW3Lb9wsrv0gEAY0bdC9dbllV+x6gLBcMwm7dcePih2GNpDgDADz8e79u7XnGkHPTg10uX4zhPCHZeHnyggiDwxVelImfp8kBDOEu/Pt6nVy3vNQRB6Lr1Z6rUuTUBTYp9dqEo6vOhtUiSnLfm7L603A37cho+CgAALDBd0vW0bPBvYGGUJEkMK8R0HEVRgrF4hpHCxdptbg14pQzD3IKDM9zXR6+HMjQ06/CblbG8Y5qmpwvpuu5ZxnFcEIQiychqWZYkSSzL0jRjWWZCVWrpglbDx/zpsWa+UQy8+e6u6tVSv5jxxKjhbQb0lSZ8sHnHrpte5m7VHPv2rpAQasanD9i2Ce8yRVGLlhwNXn0GAFiWvWPP1Tq1Q1OP5HhWLprXGgCw8n/Ha9TgJn3yr88uLpfRb9C68LAt0z9rWbcuyiGGQJQQlmW98sorHkvlli1bNm/ePDIyEgBw9erVnTt3rlu3DgAwb948SZIWL15cfoP1EAgEAoFAIG4ZJEAjyii2bf++7u83x+/xKz3PmtaCZcl+gza993bjfw5e+X7Vyc8+brR85dktWy9czVY3b1t3m2dnWfydcQ2io0OrVKnAcRyOY0U1r9m27W69vjl9OpBI9M6bjXfuujRzzr8AAJLEa9WMhOspiiqDnrbFAUVRixYfmTv/MAAgIoLu2KFyybsocByH47hPzjFvRg1vVpL1uU3ST5wJsLVqVaFv79qyLHsiizEMYxhWknRbtYZN+3fasLp59/L0xjYpkfvSclvVD70GAAksTdOgThrkb2yn0ykIQvBKcZCFDcOA01Q5joPu3mVEjJZlGbqIFO1hoTIrCILL5brDzLUURWEYhqIonzsIVWNwI0T6NgPAYeJHeDTYxz6bdN/uvVc+n+2r86afkNo89vXsafffe0+tjz/smJl55YVeaz0pDSG5uXqvgZt5nvxiegtFUZxO5wudKz//TLWBQ/K19MmLqloXL7kjwumr2dctVrr0vP7tVrdO+Iol7Twfp09pMnTULricfU3r0fd3zrFh8cLHqlWrUviWQCAQhWP16tVffPEFjuNPPvnknDlzYmJifApcu3bt5Zdf/uabb5YtW9ahQ4du3bohtxwEAoFAIBB3G0iARpQ5LMvatHnv2Ld24jj21rjGf+3ISGkQXaUyHxHBXr4sR0Q4cp0ahmFu1SAIbPzE3XCvkWP23OZ5HSzR7L7oPj3rJSVVLb4fBou+2hZYfQYAWJY9ZdoBuDzpg4YAAMMwVFW9e36u6LoeFkpnXnavWNrONC3bLmkbX5IkbVDAqMM7722dO+uZ8nJTsi5fy28Tw+CT3r9f0zTTNHEcp2n6ylU9NTX7iwV/dehWo+ejVXVdDyDdiqI448fjIkdci6kKgF0Py5U0DQCAYRhJkkE6JBTKSEGWZZgmkaIo2P6Koti27aO6QvXZ2zC6UDJ38VEc6rMHSZIcDgcAoAQeGWib7j1uUXyoqqppWn53UJIkkiRFUZQk6fbFd0mSMAwTRVFRlHvrCcsWtho0bLsk+arbg4f/lZhwYPa0jhUrRq3+9unHnv4+76FcLqN7v00P3h8zeGAdSZIAMJcuaNWj/6bgK5PrNCrHc6pquuSbGvlwarZHfQYAeNRnAMD82S01TRdFetioDVMmPyCKobGxFYM/IwKBKCwrV64EAIwfP37cuHF+HTbCwsIWL17crFmz4cOHr1ixolu3biVeRwQCgUAgEIhSBgnQiDKEbduH/j05ZMS6sa/eQ1P4tCkPXrni7vJ8Umpq9uezDx09mq+CdguEh9M8RwoCVadWeMfHEuMrRYeEBHL7LRIOHEibvzCtwGI9+myAC8n3RlSKi7BtG8Ow4rM/LoNYloUT+MD+dWzbVtWC080VCRiGEQSB4zhNM4ZhkQTepUegUPpD/17LyXGGhZXRNAU+ZF3J1zpcVa2z56TK8QJFUadOO995b6uuWwCAYUNqr9yV2yJDIQmscgURyr4+Ap8oiot+OXcm090gxFb3Hr6vSTwAGE3T0Ks3eHNn0zQpigoyghV60Zim6XHhwDAMRsh6HCoMw8ib89BTq2DOEjyCIMCT4jiu6zr0Jg5QXpIkjuNYlvXJ+lhUwCyaJaO2O51OgiBYliUIAsMwVVVN0yyml1XeMQZvDMOAvuQ4jhdozxLMuVRV3bA5s33byoqizJzS7MxZ+Z2Je3xOf/KU69EnV/bpUb1Pz/t7dElcuuKk36Nt/ytj+18Z415tUKdWiMslvT224cSP9hVYh+R7wjIvuy9nqWfPyfXvDUs9nO1Wg2rYAYM3wwU4A8HpzNm6/ViH9g1K4DsOgbg7OXDgQHR09IABAwL4O5Mk2b1796lTpx45cuTucVRDIBAIBAKB8IAEaERZ4dKlrNff+D0khIoIZ94cvx8A8OLLW4rq4BSFiwJZPzni/maVGqdUio6OKPl//S3LGvnqH4XaZfTIBlBJKRkFtozA87xt21M/eUCSJMMwSuDacRznOO7X38/s3Hlp5PAGlqU4HI7BQ7cWuGNurlJeBOi42EBp38eM/ctnTYUK7JI/cwAAk5efePKB6MoVHBzH5fV2kGW5b4f4mjFkYowQU5GDqeFM03Q4HARBFEoHZBgmeAsFnzxytm273W5PWDGO45Zl5Q1OV1WV53mHwwHDaYOvWwB4nvdOXwkAwDBMEAQYUQ57L0mSOI7DjIiwJGwZkiQZhimOtKLQmwLWjWEYmAcPboKNUyRn8Qj63s4tFEXRNF1M2jccBQnQr2Af4Hkezhq5nXNpmta+bdzCxUcoiujTo0bFCsSSBS2XfZP+y+9nfUp+uTR9yfITs6c+fCwtd+eeK/kd8MNP9nMO4r23GtepFY5hgXOCAgDAQw9W7PLc/bAm165Jpqkd+jdz5pyDmZeDDZ+3rOuWHQ89GDtl6tLnOycOG9qWotA/fghEEXP8+PG4uLi8zhs+REREhIWFHTx48A5zSUIgEAgEAoEIBvQ7BFH6aJr25ttrNmy+WLSHfbxj/GOP1qxZI5ZlmbLgk3D8+BnFHZSW+sKziU8/lWTbtmEYDMcZhmHb9t1jAA2zqAmCAFXF4j4dx3GmaXbtuR4AsPTLNoriYlnBtu3s7ILVK5ouN6/Q5OTaAOwIsnD/PknfH7huFFMxgm6TEgFjS2mahnHi8IGybfvkReXysYym90RqmobjuCc+WpZlUQw23BIOOdi2LQiCYRi6rhc46gDdGPITkaHA6ld/hL2L5/kiEaBZllVV1SekGqq9NE1zHAerSpKkLMsw6yDP85Zl6brOsqxpmsX6anK5XCRJwgWe5wEAMEiZZVkMw4JMV8jzPFTPNU2zLMtbvIa5XimK8th9wOjvAF4Zt0ngIGgPLpcLxoDLsnw7arvb7e7bM2nHris9+m+e9nFzHHd3frLSc89UG/vW35lZN72aTNN+cejm6omCwJOSK98Q++hoh23blmUPfaleXmtpH2bMOfrs001IkqRpukKFCABAbGxM2zb3Xr2as2z53hXf+o+29svW7RcBAMu+SV/x7YlPJz/wUIv6we+LQCAKhCCIYN5OsAzKQIhAIBAIBOLupNyoJ4g7le++//PDyfusIooFadggovNTiU2b1OA4R1n7F3/OF/8EWbJTp2pQw6IoiqIokiS9ozvvEm5fvWIYBqpvHqCZCdQ3oZaK4/jQkduyslSCwJYsaiPLLp4XevXbCD0oCiQqKvQ2K1liEAQhCKQkFeA+EVORrfdwJY/6/HSLio80ibZtm+f5iYvTr+RoDoZwuU0MA4ZpJ8UybRuEfDE7ddbnzS3LcjqdMPAZ3rsCUwvSNE3TtG3b3koohmEwZ6DPeh9gUsHCNYEXLpdLFEWPFuB2uwubvw7K3wRB5PdgapoGHUig5gtuBOfCi2JZtmTcqKExhee8EHixgiC43e7AhiTeZWCD+9xT6E2f90ZLkgS1aahcQ2cMcGNsQJblYHRkjuPcbrePgqwoSjA1hzHgDocDx/EgpXa/qKqaUl/8cu7DfQZtebJj1c5PVVUUefL7jSXJGjL6T5/C6ScLuKenz0ivvbVz1NB7mzWtOGdBqqYV8J45nJqWfG8d7zUYhkVGhg0b0vqVweaRo+eWfH1w67ZLwV+OadkjXt0eIv69YO4j1asnBL8jAoEIQFJS0sWLFy9duhQXFxegWHZ2dk5OTmJiYlmIikAgEAgEAoEoYZAAjSgdbNs+dCitz8B1tzkNkSCwlg/FPNe5er26SWXZUM+27d17852a7QNF4lBbgdPnAQAsy1qWdVcZcdwOFEVlXzMHDr5u4bJiaTvDsMa+uePceRcAoEmj6H3/ZBnGfz2PILClX7aRJAkG7c6d9VC/gZspEteNQPLQc88m+AjcZZwFXzz6Qrc1AQqQJNaiY9X1+3PhRxwDNeK57QevLlt3AQBAkaBJh1oxtLnonW1QEtyDgUfuTZk/p6VHfFQUhWEYqA+yLBu4Ppqm0TTtIw7atg3VSYqioLeyX6GW5/nbnBDgvTvLsvBBM00z+Nx9UFwO4AgBlVO/SmtZGE+SJAmGCecn5oqi6N1K8EKgswccAAhsT6+qqicI3UdxhmMPIOA4ExS1SZL0DEh47o5hGAzDBOPlDcsLgpDXPSZ4bNtWVXnZwla9X9z824Zz82c+5HJJFAWWLWz16+9nl6w4XtgDTpl+cMyI5GBKfjD5wIoldfxuIgiiXt2qH/1fVQBARsbl5SsPfPfDqSCjvXOd+nPd1lavJn45/1meD2TOg0AggqF+/foHDx784IMPZsyYEaDYp59+evr06SeeeKKsRUggEAgEAoFAlADlST1B3DE4nVLfgd+dKChYLC8MjUdFsbVqhj7zVLXoqNBKlSqWl3/iTdP0VjwLBIrpDodD00yGIcENMatMUYRmskUIy7LLvznx869nSBKDbf7m+L/ffSvlvXfqcxzXo8+GXXsue5cXRWre7JbQYsIwDJIkWYZYsbQdAKDfi5tkOV+Rq3ePxsV9LUVL5fiK48bU//DjfCPxx4xLnrM20/PRssHk5ScxDDSszjVN4g9R4a3jiEynsfTLNlu2Xvzl9zOTP7hflmUfDRHKjjDAHAAApcP8zmiaZt5eBMvruq7ruiAIMFQZirzQMRnDsKIVcD1HwzAMWmQUKENDh5ySiWIuPmCYMMuy0JTDtm2YF5FlWYqi8nu68wYUF/ge9ukD0KYDAACNQeDN9ZTBcdwzeuHdyFCMhucqVMt7wrHhJcPg9OB39xxk0ZyHZs870qP/pvFvpFSJZyRJavFARIf2rd98d9fJ04UbDvl46oGlC1q9/vbf5y8E8kk/d0HZu+9oSsNagY8WExM9clibkcNAdnbOL7+lLl95/Er+SUc9pJ9wtmi9aOTQOt26PlyWh28RiLLPc889t2TJkpkzZ165cmXEiBHJyckOh8Oz1e12p6amzpw5c8GCBQCA559/HkVAIxAIBAKBuAsJJA0gEEWOYRgLv9w6Z15qkOUdLFE/OfypJ2okJoRXrBgJg+bKI6Zptn10saoGJdd+vbiNbdvQygAGG9q2XRyZym4HDMMYhik7ttQkSTocju1/XMQw0Pz+WMsyYZb519/Ycfacq03rSr2616Io7FhazrsTd3v2io5mp3/WwuVyebQ2URR1XYemAe/93+5jabl+TxcVxaz+vkdJXFhR8933uz6deiDv+h7dqq098p/qytL4w/eKdo578+aMS5luAMBDLSq2e6Z69UgH9HqGv58LHIEQBAHDMNM08wsThtInFHxJkjRN0/OtBB2WoUsGXDZNkyAIjuMsy7odX4UAQEOJAjs2y7LBeFWXO1iWJUkSw7CSfLThix3HcWgvDkVwvyWLxFoawzCoDSmKUth/gWia3n8gZ9qsQwP61G5+X4Rt2xcv6ZyDjKnIvf72zrPnClE3HAeffdR0+Gs7AxeLi3WsXPpCoSoJADAM41LmlfPnctb8ku50ahiGAWAfOZZ77Zof63OKwmZNa9uoUc3CngWBQEAsy3r//fffeecdAABN0yzLVq1aNSUlBcfx/fv3p6ene2aEjB49evLkyeUleCJITp8+3blz51WrVsXHx5d2XfyjKAr8n4HjOJieoTximmZ2drYoinDOVjklKysLAEDTdEhI+Uji7Zfc3FzbtkNDy40Rnw+2befk5MDB+PDw8PI7CC3LstvtDgsLK78vVZfLBX8EhYaGwlCJckpWVlZYWFjZnByc0nRmkCVr1YyYO6tjmX07KYrSokWLhQsXJicHNZOybFIWuwjiTmXfvmNDR22UZT/KgiiSDzSrIIiUbQMMA5XiQuonx1aKCxdFoeTrWRwQBPF/7zUbM9bXM9Qvr7+5Y9L7zZxOp0d9LkKtrajGnDAMg/PoPRa3pQWO4zTNHk/PrVWTbdokUtM0SbqunbEs27ZN/KKvjm7YeH7DxvM+O34x6+GQENpHaIMfRVFUFDWmIp+fAJ3SMKoYLqUk6PxMkxYPVhs+at3pMzd1qkNXrz+YD90bomVKv/12fsUOAADgHOTbbzSqWyfcNM3de68khjM4jgeZCw7ciFT1uCjkLeB2u0mSFARB13WSJKH0b9s2jFSFu1iWJcsyFCgtyyraJ8KHIK8LOkIUUx1KEbfbzXGcqqrFlEXQL8EnhJRlmWXZ24x/9wTUUxTFMEyh3Dk0Tbu3nvDq8Hs/mXbwYkaVFzonVK5ETpt1OPXItXFjGkRFsC+P/CPIQ1kW+HHtuXp1wv9NzQ5Q7MJFRZJcgsAHeVgISZKV4ipWiqvYtOlNsrLbrWZlXVu9JnXr9owzZ68/RLpuD3x53b337Jr2aaewsPL6cxqBKEVwHH/ttdd4np80aVJmZqamaQcPHjx48KB3mcjIyNGjRw8fPrz8CiUIBAKBQCAQtwMSoBElgSRJ/V/8Pi39P6UvMVF4rH2lWjVjatWMcTjYsjlcVrR88+3RAss0Solo2CCiTasEl0sTRdGyrpuuFn/tCg1Mkwi1SFEU4UR+t9sNpRwYR1msNfeE1qqqRZJ45XjK5ZIAABiGEQRhmibHcWnpuYu+8t/sFSs4QkJov04LMLbX4WB27Mw3u1ePrv6NWcsFFSpELl/aJTdX+mHVvuUrT+bm6m+/U//bP7J7PBTxzdfpP+696F147qwHPbfy3npC8BbJ3sB+kt9WlmWhoAxHMnRdJwiCIAhvnwSaphmGkWUZjsrQNJ1XtXQ4HDCGGnp03LJAbBgG7EIBykCJVpblMuhCczt4LspjW1Gm3j+wtUmSvAUPjbxAmxeWZQmC8B7SwHEcRtn7Dds3TbNubZFzkGt/PbNl+8UZU5qPHpY8aco/70zcU9gKbNxyITKy4EC2n39Lfb5z0Rj+sCwTH1/x5ZcqvvwStDeRN289sm79uX3/ZB88dK11+6UvD6o7oF+rIjkXAnFXwTDMqFGj+vfvP2vWrHnz5imKYhiGbdtwelafPn2GDh0aERFR2tVEIBAIBAKBKDXufNUPUeocOHAoM1Ma2K8mhmM1kuIjIsIIAr8L/e8qVRJ27/GfhzAu1tG/b9LHnx3es+/qqyNToOJjWRSO48UX6VkkQD3I6XRSFKUoCsxppus6DFEs1iBKSZIEQcBx3DRlz0l4nsdx/K8dl+5vVhEA8O6E3d67MAwOXVDat43v0T3JO/bZO6rXY92o6/61RQwDiYlldJ5p8ISECL17tejV80FV1br0+DYzUz2ywU+xGbMPjxiaDM2Xb1lsDSAXUhTlGbfwYFkWx3EURRmGQVEUzD4HFWfYo1iWhffavgGO41B0tm1b13WKohwOxy10PxisXaAADW70QMMwykJGwSLEc5fhnHGHwwHnZuaXq7CEcbvdgiBAMxbTNOHgJRwPu+UDwhcXPAKc1QFNZvJ7g+m63q93rRlz/pUkvc+LWx5oVnHs6Aar1pxa+d2Jwp49O1vt1KHKml/OBCjz9TdpRSVAe0OSZFhYyFNPNH3qiabwIbIs2+WS9+49nJgYGx4eXuRnRCDueEJDQ8eNGzdmzBiXywWTr/I8z/P83RBmgUAgEAgEAhEY9P8QohiBzsU1aybVRN6SAPzzT5bPGp4jR4+s8/6kQxcylIkfHgQAdHqsqtvthi63tm2XHYflAtF1HQBgWZZ3naFCVxwaNI7jPM/ruo5hmLe3A9TrG9QPcbn0/oM2e8p/9P59sTF87/4b4cc6dcKdTvPMOTU+jqcZgsAxnv/PdQu6K+A4nl/Mbrs2ceXXLs0HDMNYlnEr+SrLf+/M7NpzPQDgy/kPsywtqEXzGwAAIABJREFUSVJhXVxgzLIgCJZlwanHGIZZluW5cTChn88uqqpCxTmvwQvHcQHce2HHgH2jsKGy0H0i+NBp2LcpiqIoKj+T6/JF3mfWE/NOUVRJ+nIEAKrDsAPAoRFwI/79FvonuJGMkaZpuC88IBS1RVH0+x6+r3HUXArTdRsA8MeOSxUqsE8/XvXJjlVHjd1xKdPPLIF1a7q8PHxNWrpv61kW+HNHhsNBKEq+vS7rinos7WzNGpULe13BA1+kOA5CQ8XQUBEAAC1x7sKhYgTi9iFJMjQ0tPz6wyIQCAQCgUAUB8iGDFFc6Lpe1vLmlS4zprX3LKc0CO/eNdGlGBM+OGia1+WS2rXCur2QZBgGx3GmaZYFoef2gXkUi9bxkOd52ETwI5T/PFtpmnY4HBPe31Mt8XoCAVGkMjPdfQZsfLJTwpOPxwMApk4/+PKwbR9N3jdkxPYQ+4yDsQzDAgCMfu0Py7oeUfvq2L/yq8CoEQ8W4eWUBfr0KniMqN+LW0aM3i4IQqHEd5g8UJIkSZJkWYaJ+1RVdblcqqpiGAbDxPLuGMAXOLChh8vl4jiOIAhN0yiK8iho0PA3cFUJgmBZhyiKQV8fADfedd55jTiOYxgGKuDlQsITBEEQBIqiSJJUVdVvQ+m6DuXpsjD64ukAnm8ZRVGcTidN04Jwi5kDNE2DCUi9V3qCrH2QZfnD95p6Pv6w+vRbE/batv3RhJSZnz3gYG9qorq1Q8LDw5Yv7vG/rztVinP4HOpqtvbemwUEOL/4ysYS9hyHz+kd5jCDQCAQCAQCgUAgSgskQCOKHtu2b8eA9U6FpmmWJbq9kFC7dsjef7KXrTjpvbVKZeHdt5pAJc7pdN4Z0ZQQWZaLJGE3wzCiKPI8Dx0PFEVxu92KolAUBeOvIZqmXb6sTPqgWW6uCgBgGNzp1BcvO7rsq7Zdu9T48adz3sdsUD+8KvGvSwHf/XCid/+N5y/Ih/69iuP4kmVp58/7Nz95a2z9kJDCCZRln6efalhgGcsCWVfckksP/tEmCALDMO8YZOjqwDAMjFOGgibDMFDjg967gfVfaPwd+LyyLEMfFU3TeJ6HNaEoCqbNzFtJjuMEQVi95lTmZReOY7cw9gMdIaCAGx4eXqtWrXr16lWpUqVOnToVKlQo+xq0pmmyLBuGAaPUA4wdwkjhvM1Y6lAUxXEcTdOWZRV2CCEA8PXl9w5GRpCtW8Z5Pp45Kw0cso2mac4BFsx++KsvWnrG3Q4fyT1zNgMAkFA1ftXKXtM/fYhlr2+LjmIAALJSQJy+Ydppxy8UxQUVDk3TVFUtqtS1CAQCgUAgEAgE4q4FWXAgihhN01DMlF94nqMZ/OuVp/JuiopiJ39w/536Ox/6897OETiOw3FclmWoiwmC4HK5YFvhOO6tPsM1brcJAJg+tQWcp/9/H+55c2wKAPaan0/7HHn/P9nZVvTAwVs9az6YtDdATerVCX3ssaI3Yy0tsrNzwsJCMAxjGGboy7WnzzoSuLxh2IOHbJ38QbOICDJAhLIHGKiO47hlWdAcHAqXHpdwcMPFQhRFVVUJgoB6H3R78NxlAACO4wRB2LbNsmwwAjHsFdDKhmVZAIi33931wcT7SJLUdR3Hcahi8zx/4qTzg0k7ZNls1zZ2+bcnhg2+59YeQxjsHxkZGRUVBdfAhbi4uLI/pASVetjgBc5cURSF5/lgOkCJAadZ3Jr/RoG4XC6/3iOapvXrWXPj5v90YUUxly4/8tTj1VVN+3zWoaULWg8esT0nRwMAPNvtx23r+0At+/5mdbf8Xuvrb/6YNvPw5Sy1wyOVvv4mrcBqzJ2/77OPi9GFIz9gl6AoqixEviMQZQHbtg8cOACX69evDwC4ePFiZmZm8EdITk4u+wOTCAQCgUAgEEULEqARRYZlWWVKkihrTPi/33Jz9bzrCQKbPuXBcmT3fAvAnHK3oMHB6FRvXYnneZjYB36EW7134TiOYcwrV91Xr6oJVcXDqdlvv9EYAGDbdqfHEpZ+fZPQExfHfbejAgA3RaPnh8NBzJ75dGEvocyyZOmfs79IxXEQFcU++0y15vdX/Wrp8dzcAiIxdd36e1fm4x2rBPOwwxsnCAKGYYqikCRpWVZ+eTU9B6RpGj4OMHhZVVWWZU3TdLvdPM97LIkDY5omzGGoKArDMAu/Sj1xMrdn3w0xFR0OBxUXxw3oWwseavyEXaZpUxS+/+C1K1c17OWbXMWDB8dxDMM86rP3+jtPuctPky0tdF03DKP4BvDg6ELerivLcq+uNRYvTwMAvD6yzpWrWlQks3tfRmxFsWnjCj36b+zdreaipccAAJZlt31s8bYNA+GOBEH07PbQc8/cN37Cz+3bVjFNe/S4HYHrsGvv1dxcKSTkFg1GbhPYwkUylwWBKO/Ytp2SkgKDLeBrZ+rUqZMnTw7+CNBjvbjqh0AgEAgEAlEmQRYciCIAem4g9Tk/bNueO2/zb+vP+926dFGbsqPjFBOKohQ2CJrneVEUWZZ1Op0eXQlGxeYNsYeRRHAXOBBCU3piAm8Y6j31wgAAmmb27LuxS491PjtOfzNkwVdBqc8AgFX/e44k7wQl0e1WH2q9cPYXqQAAywKZme5Zcw736P0bVJ+7vpDwzpvJJJFvcNaKlceDVFQ9N87pdBqG4Xa780p4giDwvKAoqiiKoigKguCx7HC5XC6XyzAMmBgQJoWD3hoFYpomy7Jut5um6ePpuZu3XAAA6Lp19pzrmacS+/epCdVnl8u19Ms2cXHcR+/fN+SluokJonfYdfCIoshxXM2b063CF2NOTg4AIED/h/7LReuTfgu43e5CuSfbtl1GIvhomiZJ0tsIvjjwe7G2bTdqeH3IYdJnqSyLfTDp4NwvjkZGsIu+TJ0346F9+y9175IACyhu88CBmyYZMAz9xuutw8PpA4euBlOHbn1+vK1ruD1gf0YznBAIAEDUDeBHnuejCkPpVh6BQCAQCASiVEDD74jbJZgp23cztm1/MX/LV0vT826KjmKnffrAHa8+FxYcxx0OB47jmqbZtg1NG6C1a962wjBMFMWrV93H0q7VqEGFh9E4jkODBbfb7XA4XC7z+x+P/frbubwnEkXq8MUwADKCqBL27fJOosgXyQWWLorifuzx5YaRr8a6/JtTnuUO7eNq1Qz5btWZS5fcmnZdeCJJ3DRNhmGCefBJkixQzx375l8OB/XG68kMw0CRSxRFz14YhkFjYl3XoQYdTOytR61WFCWpenhCVf7U6eva97TpB9q1rfzCc9Vl2QUAkCTp00nNdV2Pi+Unvt0ovwDtAvFWn3Vdv3jxYnR09NGjR6HXR17Jnud5DMM0TYPXQpIkx3Fut9vbMrsEgI8buDFaEORtBTeSPcKEkNA8Gg4SlICPEJSb3W43PBd0bim+0zkcDqg+i6KYd6pKVBTrWZ6zID2lYcTefVeHjtw+Y1oLksRfHdnw7DkXhZ/q/FTluDi+z4AN7R9JnTC+k0cuv3TpUoXoqJcH1cy6Iq/91c9ryptrOXp+KSJLDDjSnJ8vNgJxN4Bh2N69e73fdcOHD+/Xr1/wR7jzpsUgEAgEAoFAFAgSoBG3BXJ8LpBPpqz/YfWZvOsb1I8cM7L+Latd5QufTHT5QVEUwzCKonjkJM8PPO/4eugpTBAEnMHad+DGN8c2atI4WpZlVbVhLjjbJnb8nTF3/l8BTjfpzUpD3ijA9RgAwPPk14sfj46OKLBk2ce27VFjfla1YJ/ZX3678Mtv1y1uhwyuNWP2UQBASsMo0zSDlCkNwwgcs4xh2NlzrthYx8FDOfWTIymKsG3bx6kDwzAoAsL+AGN1NU3DMCxANWzbVhRFEISNm8+fOu1q0igyKpr55dcLittcvebU5SxlQN/qDMNkXlZffHm9bYN77wm7lmtO+r+muq7f5nwOmI0wJyfH4XDAkOq8iRMx7KZsh4ZhSJJEEIQgCKqq+jibFx8URWEYJsvyLbzJfWRfgiBgMLKiKMWahBamSYTnwnG8uP2L4Onye4NpmhYXy124KAMADMNOPeZskBy+/0D2kOHbAACvv9qwbh1xwdyH0o47p804CAD47fcLmzbPX7ywY82aVWB/joyMxHH8vbc7DeqfOfK139NPBhpcOXnqQu1aiUV/kYUEuUIj7mYwDKtUqZL3mtDQ0NDQ0NKqDwKBQCAQCES5AAnQiFsEBT4XiGmar7+x9s8dl/Nu6vRY1ReeTSzjecmKEI7jAkvtOI7D8M8CI1tpmoYBgCtWHgsLI9dvyFg0r7XL5YLJ635ffyE7W1v7i2+ywbywLK7oTIGa2xOdKr/2attSt0coKvbtP/HPgexb23fG7KOvjqz7yWeH42K5QumzMAslzEMIANB13fvVoaoq5yCbpETOmnuIponPp9wviqLL5YIGGp4jeMujUKvFcZzn+cBvIRzHR776x8UMGQCwa8+VChUYgsBM0wYAHDhw5Wp24voNx39bdxYWPnjoGk4RPfpvbt6swisv1iuUCmzbdm5ubkhIiGdNVFRUenq6aZr5OUr7lWhN0/TI0CUzN0JVVVVV/RocFxbTNOFFURTFcRz0TimOEUpN06AbT8l8B7lcLoZhSJL0dEhvDMOoWzscCtAAAFWz6tUL23/jKZv0yb4nOlV5rnO1+ErktE/vA4Ccvyh12/aLXXr8tGRRa4oivJ1D4uIqrFjSfcffqaNe36bnM0ch9UhWWRCgwQ1XaJqmUSg0AoFAIBAIBAKBKJA7RFVBlDA+EhIiL1evXuv01DK/6vPIocnPPl3Fr5ZxR4JhWOBwSIZhGIaRJClwlLTD4RBFEcOweQsPde21rloi9+Xi9PuaVvBkuhv39u6lX6flVZ8XL2rdqWNVn5Vvjag8/iM/vigekqqLy77q8PqYdneM+mzb9ptv/xG4DMMECmmcMu1w1Sp8SsPoQtksQCsMnudHjfmza8/1o1//m6Y5z1Zd1+fPbZnjtBwOMqV++KRPDgAAoCrnbTUAMxB6H9ayLHjfoTjoWS8IAk3THMeJoojjuGn+J4BmZqoPPVgBLrtkY8zYHR71GQDAcdev/c8dmd37bZo175jPGQNf45kzZ86f/8/nnabp2rVrB4iJUxSF4zi/m6AMzXEc9J8pAVRVDdJcOxh0XXc6nfACi+kSJEliWbYI6xwYOBrhtz9YltW3503e33/tuuL9cfWaM1On/0tRlKZpmib36Zm49MtWy75qQ1EEACAuLg7H8UuXLsHCGIbd36zulnX9+vdK8luTpGplKMoSjkMXa7Q7AoFAIBAIBAKBuDNAEdCIQnP3KKe3zKF/0we9stmvRjd/TksMaCU2v74skDf8GUbCwshQOP2/QAlDFMUXX9mcm3u93R5/rNKUaakAgA7tY3ieX7Y8bc3P+UY99+q7Me/KynGU5DIaNojYt983/dfjHeOHvvIgz3N3WGSfqmo5uYE63rKv2ui6RtOMZdkEgQEAXLKxZu3pOrXDEhPEWXP/TTuew3FUjaTQAMG5UFT1TlbGsqyuG4Ne2e52mx9ObDju7X0DXtq8YG4LOIgFzZp7dU/E8Vp9B26iKLx77/UL5j4I1WeKouC5WJb1ezq4FcMwkiRpmoZHAzc8W0iSrJ8c9dffGUnVxSaNIqOiWIrENm255PdQISGU+8p/7bN7b1afQVsWzn74elMUlJxQVVWffo5hWOXKlTVNu3btmt9dAo9tyLJMkqTnYQFejjRFHhxtGAb0OYG5GYsKSZIYhvEOZi9CFEUJfoTg9jFNE54xb6i4rus8R7rk6+Nnp067GtYP2/fPfzd9z97Lkqs2y2Awlt/TyAzDnDx5Kjw8zCeDIk1Tgwe17dn9/me7f5OVddNsg3vvvUnsLgvoum6aZokNliAQCAQCgUAgEIjyCBKgEYXANM27Sjm9BWzb/vW3PRM//CfvJoLAlixs43JJxZ6iqyzB87yPpEWSZKEMZzEMy3ViA19e51kTGUGv23A9c+CAlwK5PAeg97DjnZ+uOnpkWwAAzGaG43ipZPeybdswTQAAjmHF6qmalZWT36ZpUx4IETGYlM/nGe/YoSIAAABtyOCaUDDFMAxaauQ9jiAIAwdvkSQ9JIQa/2bjuDgew7AvFhzeuOn8s89UqVsndNzb+9q1jdu2LUNy2ZTX949pmhRl8zxFEMDp1Ae8tL3rC0kdOySAG2nxSJL0GC8IggBtfz0JCWEevLwR9Lv3Xlu34RwAYP8/2fv/ySYIjKKuDypUry526hBfoQKj69aHkw+pqpWR4Y6MpNu0ifvfD9fDog3D7jVw87jR995TL8o7zjo/dw6YQtA7HBsAUL169WPHjvn1KYa+MQFmk0Czkbzr4WMV/EMEswValuWx/clrDKLrOsMwNE3fpv+1D/DeFYejCEEQJTwRB7qKsywL9WLPPaUoyqM+Q5o3r+gtQL8yuF5UJOsZHfGgqqqmaTiObdx0+sWBbXwGJASB//XHfnv3pb4ycpuul+lcC5Zlud1ulJkQcddy8uRJ7xkwgQkJCalatWpISAh6XhAIBAKBQNxVIAEaERS2bWuaVqh593cn332/Y8rnh/OuJwhs6aI2JWPqWnbged47EhbDMKjiFaodGIYbNXiD95rWD8d++33BLs+BEQVy+NBWcDm/6NpixbbtCxcuz5q7a9PmDM/KKpX5ca81TU5OLI7fpefP5+v+TOC2ZRXwdHsy6TmdTmjyq+s6DDr2jChcznJXS+TdbvNYmnP06zeNDfzv+zMAgPuaVujfpx5NERHhjG3T3j3B7XbPnNaid/+NTz9R+YfVZ5csS6taRUioGiIINE3TUKozDIPneafTCZMQ4jge2LYlvtJ/EbIcR3R5PnHhl8fhx/R057QZqT7lr1zRVq48FRXJtGwZ8/3qcwCA5HtC3/9oPwDgmacSn32mGox+xXEcpgqkKAqKknB3XdfT09OTkpJ8BhJq1qx57tw5RVHcbre3vGtZFkVR3ioqx3HBeBq4XC6Hw4HjeADjZhg6bdu22+3GcRw2NdxL13U4+YAgCDic4MmIGEyy0MICZXSe5zEMwzDMsizTNA3DgH2GIAjTNG3bLuz3C0mSJWz+IAgCbDcAQN+XNs+b0QJKxlOmH/QpOXv+cY4jZPl69WbO/veeepEkcf3We9R/juOWr0xft/6sqlrzF6Wt/PqJatXifQ6V0rDOHxtrzZm3eeHiY+3bxhbrBd4mcLDBZwAGgbgbmDNnzuTJkwu1S926dXv27NmnT5+YmJhiqhUCgUAgEAhEmQL9TkAUjGVZRRsTd6eya/cRv+ozAOCTD++/q9RniqIYhoG6JEVRBEGQJGkYRmFn4oui+N77u31W0vTtmjKHh9HffN2ZJIsx3DgwGRmX3/u/bXnzAZ456xo8dFOd2nuf7VwzRGQqVuATEmKKStAJCclXZ1+1+uSAfvf4jdL1i67rMAQYiqc8z99IM4gfOHgNw0DLhypu3urrdEFR+NCX66mqyjnwEa9u6/p89aZNYr2fC8Nwv/9e0/cn7aleTaiWKM6Y/e+1axoAoGGDqNdfbajrusfz1+VyQa+PAJYRDMPs3XcOLrdpVfGvv7M86nNgsq6o//vudFwc16ZVjOo29++7CgD4ftXJPXsvTxifommaZVmSJFEUJcsyhmEsy3pmh0iSlJaWlpSU5HPX4uPjAQBHjx7VNI2iKLgvAMDtdkMFFgCA4zhBEBRFORyOAn32FUWBEnN+eOKdCYKwLAueJUBzwbZlGKZoXTg8+Gjl8GIBAIZhEASB4zhFUaZp5veK8AxfedRbVVWLQy4PjKZp8G2mqlavgVsClBz6Sp1JHx/yfNy9J7PVw7EkSZqm9f2qE090SsQwU1XVzEuyqloAAMuyn+3yY7u2cePfepTjbvK2xnH85UGtX3i2IceVwlBZoTAMwzTNUplKgkCULw4fPjxu3LgPPvggLS2tYsWKpV0dBAKBQCAQiGIHCdCIAvA7sR2Rl8zMrOGj/Wd4a5wSFR5OlPE51EULTCrosQO+ZecW27bHv9m4S8913isvXJJvp24VotnlSzs7HKUm5ezceWTEq4GSAaYeyZn4/i7PxwcfqPDu2219NKlboFJ8VL5V2n1lQD8gCIKu6yRJetvUBoNHW7wRdQtSj+TQNK5pN/V5XbdwHDdN82KGkpHh/uzzfwH4d9lXbVTVDRVYy7JiYsh5s1vm5LgPp+b8ueNy1xcSflp77p8DWWOnHnjnpbpwSEMURU3ToAdFfmYUgiBgGPbMU4kCD/49fG3DJj++z7171mzxQJyiGC7ZqFpFGDxk67Wc/0baLlyQlyw7AQAID6MbNoyoFOdYsuzk+Qvu6Cj8xuXo4EaIscPhoCgKxvu7XK7jx48nJCTkjaynKEoURYfDIcsyy7I4jsuyDO0pHA6HaZreYwB+7YZ9mh1GgucdIISXD5dN0/Q4bwRAURQcx0vMVdmyLM9dg18xmqZBNZ8kSZjdDvqZGIbBMAxBEMFcRfEB+zYUoKueWva/8fEfro7Ysy/fWQUfT03FccwzsWD9hnMnTuQOGlgPw0BSUlj/QZswDHvs0SqjRjTo0uO/99u69Rc2blo06YPmrVs18DlgZGQ4HPwohosrSuATgew4EHcVI0aMaNasWb9+/RRFeeGFF5o2bVqjRo3IyEgMw65cuZKenr53795ly5bhOD579uwaNWqcOXNm+/btM2fOdDqdXbp0+e2335CLOgKBQCAQiDue2w0kRNzZlEqIWTll6Mh1ftfjOBg1vP5d6J3Nsqwsy4Wye/ZGEARRFDEMy831FdeuXbv1xhz8Yq3vv+1aiurz5i0HA6vPedn+R2bbR7+eMnXDbXrgiAKHYaBWzZAB/ZJef7Ven17VUxpGxMY4RIFUVVNVVVmWNU1zuVye6NRCIQjCiBtjMJcy3cNfqQ0AoCj80Ufi4itxI4bWJkkMx3Gaprf/mfnm2Hthye69N9A069GqLMuSZRdFmQ80j1FVc/k3pzTNmjC+wZVr+pc/pDOMAwAA1UnYr6AZBQCA4zg44AEAEEXRsiyn0ylJUpvWCbv3+uaZbJwS/fXiNi0eiLRtN8sakRFAkqRZ01usWNquWmKIT+Hsa9rGTRlLlp2MjXFwHOFwOBwOh4+4DEVwh8PhGXQ5c+ZMXl24cuXKAID4+PjExEQMw2AUM0wACG0xvAvruh44SyH0FPbJXwdvhCeUOHhRw+FwkCQZfBR8cQC1S0mSYMpHhmEoioJNVIrqsyiKPM8bhgFvkGmaFxOeq+LcOavVr6vfyKmZJOa346gRdTzLp89Im7Zc6P/iJgzDEhPELs8n6br140+nvNVniGnar77+x5PPLHLmmTRTjiSq/HzSEYg7EgzDevbsSRDE9u3bv/zyy1deeeWRRx5p1KhRSkpKu3btXnrppS+++OLvv//meX7AgAFxcXHPPffctGnT9u7dGxISsnnz5osXL5b2FSAQCAQCgUAUO75piBAICJR4SrsW5YZNmw+8OX6X303LF7e9q8w3bg2KonRd91gKmKbZb9CWr+a3xjDMJ/wZAEAQwCz8sMhznROGDWlZrFn+CuTMmfNdevx6y7tXSxSWfvXC7VRg3Js/bdmW6XfT0i9beaKeC5UyjiAIKAF37bneZ9OYUXU3bM7Ye0P/rVsnvNNjcQ0bxHbrtd7nm+ftNxrVrRMOAPA+ryAIW7ddmP3FYQDAyGF1Pvs8ddG8VoaheKoH3V2gjTK0hIYex9Cu2nM5UMc0DNvtNtKO5/z5V8aAfjXyU8dgvr6LGfLED/ZkZ6sAgMhI5soVFQDw3jtNEqo6YKAuSZIMw3gcgS3LgmKxpmlQJYSux9WqVfMRDSVJUhQlOjpa1/UTJ05IkiSKIgAAfhf7NLu3yUaAO+IpBi/Ztm1YH47joGGF3yhpHwKnQ7yb8fQ3GI4NV4ZydLXDUwAANgB7onq8/EZa3h1xHJia6dPVCRyYFli+pC2GYW630WfApgCnfn9CSodH7/deU1gXo1KnVBz2EYgSZtSoUbNnz/75559btWoVoNjOnTvbtWvXuXPnBQsWQEP80aNHT5069d133x0/fnyJ1bbIOX36dOfOnVetWgXNpsogiqLAGUXeY9XlDtM0s7OzRVEs1zZHWVlZAACapkNCfMf7yxG5ubm2bYeGhpZ2RW4R27ZzcnLgvzTh4eGl++PodpBl2e12h4WFBY7YKMu4XC7433toaGjemJJyRFZWVlhYWNlMBJLSdGaQJWvVjJg7q2OZfTspitKiRYuFCxcmJyeXdl1uHSRAI/yATJ8LxZath8a9/Xfe9TxPzp/dEqnPwSCKItTyDMNKPZL9/qS9gctHRtBXrvzXRTEMPPNkwtAhLb75dveyr4/nOv/TFiMjmXZtKg3sf38pRj1DJElu33H5bb5xw8PpWZ+3rVIl5hamt+fkODs8vjK/rR4B2uFwBO+/wTDMwi/TNm+9kF+BqlX402eu+0gsWdSaIDBo39y990bvYm1axWzdfmn4kORGKdEw+tWzief5ZcvT1v5yJjKCfn9CM4LQMAyDThHeUZYURbEMjWE2bmsm5oCSNMvyGzaddatWi+YxkZEOWZaDT1uH4zjUztxuN0ytljcIF0qT0DgCRu/6FOA4LiEhwWNdDTlx4oRhGOHh4dnZ2bCewdQnmFEBqERLksSyLDRWhhHNJEmyLIthWN4AZ47jYALAcqdsFi0cxxME7tcvyG/LUxRVOWtTaPZ++NHEqDF/PrL9ryyfYk92rPTDqjN5TzdyWHKTxtEYhl26pASeEuFwEMuXPFmlSiwAoFxYcOQF2XEg7ngaNWp0+fLlo0eP+rztfdA0rVGjRqZpHjx4ECo+MG9to0aNdu/2TXdRjkACdMmABOiyAxKgywhIgC47IAG6BLgzBOiy2EUQpYuu68FrNIg//jjsV32uWNHx2eTmSH0OBlEU9+2/fDw957tVJ4PcJTbGAQVogsD69alwa3B5AAAgAElEQVTVvWtTmqYAAD27N+/ZvbmmabKskCQBo1mLseqF4ZMpW25/vC87W+va8+duLyQOeaV1Yfd97/825rfp4YfiPKJzoRQul2wHUJ8BAM93rvrxZ9czc546LcVUxAEAedWoDZsyAACfTv3npRfr0BR5T73rTsQ0TWMY9lznqg8/FJeaehlgAAAAxyo8WqooilByjQYHcKDngKqUmW1RsQzDGIb56CNVt2y9EBnpkCSpUAOuniR+AID8IojhAW3bVhQFOlP7tJ4sy8eOHXM4HNWrV/f8f09RVHZ2tsvlKlRTS5JUoAYtSRIMuKYoCpbHMAzDMOjy4T2uIAgCnOZCEETp2m6UESSXOnjEX40bRg19qY63Fg97V97yNE171GcAAGHrU+5fe+yR1iNm6FleY2NbtmdWqsSdP+87dLF42dEmjaMlSRIEbPmStpM/3b9vv694DVEU86lnv3/mqaqvj2lfHtVnAICqqnCyQmlXBIEoLo4ePVqhQoUC4/1hBtq0tDTPl1FCQgIA4J9//inuGiIQCAQCgUCUOmVFmkGUEdxuN1Kfg+f8+Ywxb/zld1O/3nUCJxBDQGkYx/ELF1yTPt0fvPr8xph7kqqHTp/acs2qzts29evb+wGoPnugaTosLFQQhLKjPkuS6/f1gYTaQvH1Nyenfp6vmpwfO/72r3ABADp2qOpZDt5nVhCEwUO2eq/p0L5ybAz3yUf/mQas/O60Z/ntd3fCgfH8wiFtG8yemzp/USrL8jDAh6bpbr3WL1l2Ii7WsXP31R07zguCQFGU92uKAdnhAgAAXLFrhWDnWSzHTcThOCZJkqLITqczpaHodDqLY7oPNHGGIW/QcyNvGZqmK1eu7H32SpUqQauQwp4uv1N4o2karA/P87ZtC4LA87wgCC6Xy2MfwfM8NPsGACD1GQDAsuxv6y8AAHbvyyK8YjeggUnenkNRlN/bV9O5cUSvqNXfPv1iv9pVq/AR4TSwrLzqMwDgyhX1pSFb4T2SJGnE0Lqvv9owQA1zcgs2USnL6LqODF4QdzCmaZqmWWAn13XdMAzvkST4JilH9u4IBAKBQCAQt0xZUWcQpY5lWXf5FOzCYtt2996/5Le1dq2wkqxM+YIkSY7j4C8unuffGO8nhDw/3n4jpVOn+157tV2jlOoREeWmkbdvP5bfpqaNI2/hgCv/d/LatZzgywf+YVwp7vqsYY7jgoyyJEly2oyDAv+fWvf14rbduyY9+0y1Fd8ex/HrErOi3DSgFcy8UZfL6Nl3w4ZNGVCntm2wYdP5ufOPHDl67aVHjkK/C283DKfGR4ND1bCfq+O/AQBMQFcDay3LKoFZ/5ZlSZLkdrtFUYRN55l/zXEcvFjbtlmW9Z6ShuN45cqVoZJe2DPKsiwIQoAJbg6Hw+OnAVM1aprmYyuBYRhUM1GOWYgsW6vWXB8pwW90G4fDQZLsTz+fgiK+d5szDFP94Ed5j5PDVn1j8tk9e8+82L/ld8t7rlza+erVfFXj3Fz9o4/3QdcUTdNqJLHz57TMr/BLLzYu7xHEyOYFcQdTu3bty5cv79u3L3Cxo0ePnjlzJikpyfP1dO3aNQBAYmJisVcRgUAgEAgEorRBAjQCAAAMwyjX0VWlwsdTNmi6f6luzMgGuhasi+7dBowYJQjC7XYLgtB34Ea3O9ig+88m39ehfaA4wTLLt9+n+13f+elqFzJuUZT5ae3h4AtnZOQb/vzVwlbeem6Qkfs0Te/4+5Lk+k/BXLzkKEEQM2Yf2r3nsmVdDxqlmZtUYMMwoBlxgcf/aslRnuclSVq+pC0AYNv2i6Zp2wBPAj8BALylW1VVL4BmMqhw2N3OtkGkfQjDbBzHCwwWLip4nnc6nTiO67qO47ggCIIgKIqC4ziUevPaCouiaJrmLUS9wYBZDMO88xN6gA0LrbElSTIMA95N27YdDocgCKIowpyHCAjsSCEh/92IP/7KEEURx3FJUg78e2nFdycP7DkRefbnuCvbPPPrJUlKv2eMz6FsADpPiwMATHh/J4zQDwsL/XVNlwBnP3Dwav9Bm6EhKTTinvJxc78le/f9WdfvhNECt9uNUo8g7jyaN2+uKEqfPn327Nnjt4fbtn3o0KEuXbrk5OQ0btzYM4Vi69atcPcSrS4CgUAgEAhEaYAEaARQVRXFwRUWWZZXrT7td1NsDHfvPaHoN3ZeHA4HjA+Fs/5Ni+7aa70SnPrMMPgPK5+87757ireKxcbZc/5V3e9+OHHu5k0sS8TFct6KWH58+51/UdsvBJHv254icY8oKctykPl5ZFmeO/MhAMATjycs+6oNAODXdWe79lzv0/GffLzKzdWgzp1XuvRYF8wp/jlwxUeqtgGGYXYNbHUce9JTZxhofMmqX4nck2Y/TuE6DiwBXAS2WTJiqyzLDMM4nU7oWI1hGPSbNk2ToiiO4/zGrmIYVqNGDb86coFAfRkKyt5NBINMPeG68C0E8xy6XC5JkpxOp9PplCQJydAQhmGOn3QvWXHEs2bmvMOGYfE8//KoXefOyfXvCZs067RtqJHZeyjiv6Z2SvKxeq+fSepjAwwAYGL0r2TPa9d0AIBpgm+/+xMWq1AhcvX3zwSogCwb3/7vhKeHxMb4f/pkxXyu6zd3xteKqqp3xoUgEB5GjRoVFxd37Nix5s2bDxs27Kefftq9e/fRo0ePHTu2Z8+etWvXvv76602aNDl8+HDFihXHjRsH39uGYXz22WcAgE6dOpX2FSAQCAQCgUAUOygJ4d0OmhJ7a2zbfjy/TQSBIR/tvHhkOMMwcBzftOX83PlBBfCSJDZoQJ1uXZqVgKNC8WGZQQkuK5a2AwCYpn3mrHPcWwU4kzidvnG1AaDpfN/2Obl6eNh1Z4wC09x5IAgiO1sDAKz+6VSD5CifrSSJVYhmu76Q8Nnnqb17VFu87ARUnLr3Xp/fAUkSMwwbANDpsUopDSMnvH+gQf0o27a79vxvFxK7fskqCLVtG5pBQ0tNlmUv4Q9UwbYCAFxGiETEAgyUjM5lWRZFUaqq+jSdpmnQ5NevX3BSUhLIP8ddMMAdGYYhSdITtw5DpPPeR4IgvN9LqqrCFIWFzYV4h+F2uyXJ+HXdRe+V/V/ZCkP4//fjWbhm5s464+85JpzbaFdu52lYl8vlAoK73mtr1p7++pvjAKR6jjD5kwPPdW4O33jx8bErv+74fLe1+dVh9dpTzz9XHd5BSZI+/L/7/D77mZnuFd/81bXLnRApCbNfluts7wiEN9WrV9+wYUPbtm3Pnz8/Y8aMmTNnsiwLhyQ1TVMUBX4ZRUVF/fzzz3Xq1IF7KYry1FNPtWvXrmXLlqVZewQCgUAgEIgSAQnQdy+2baOkQLeGZVnTZuabsvzhFnEkSZIkaZpm3qn3dy1QgzNN07IsjuPmLfyzwF1SGkQMH9I4KSm+XEvPEJwI6hK69lwXF8ufvxCUCUahZENByNePYvCQrYsXtobLqqo6HA5FKdhA5tw59zsT9sDlCe/v9qxvlBJRq2bIt9+dvnBR+XRqKgDgq6UnEqrytWqG7Nt/tWmTqNBQ2rJsTbXW/HKOYYjcXB0A0KRxhcc7VnWwxMw5/8qyXaVyxIql7VRVTT3yX4o8QSAJ7HrFXCCOxy5hbAXTtKDMp6oqRVFnsYer2Jso3M3YV912CIaTMI9cIVrqllAUxUfhvV5PlwvH8YyMjNjYWJ9NsFdHRkZevnwZzkGhKArDMKhZyLIc5DiWqqqqqnIch+O4YRhwTNHlcomi6Ekw6HA4DMNwOBwe8VTTrie1C37I4Y7EMIyGyeKyBa2Op+eGh1Mjx/5tmrauW82aRO7YdcVTbO26jAHNm4SoFyUMo2kaNh1FUfA9/0i72Gb3xQwbtd37yN//8Odzz7aAy0lJCQyNq5qfJ7Zdm/ikpNAfVp18tH0MHAkIDaVZlvBrTDR9Vuqj7euFh4cWYQuUFvC7IBhTeASiXFC7du29e/dOnz79l19+2bdvn6Ionm9SDMPq16//6KOPDhs2LC4uzrOLKIojRowopfoiEAgEAoFAlDRIgL5LgZmpSrsW5ZXtfxy5ds1/6wk8iWGAJElZltEsY28MwyAIwrZtkqQGD93qVzzFcbDoi/YRETyO46LIB8i0Vu4YNKD2p1MPFVjMtoG3+hwXx0+Z3PzI0ex3J+7OW9jjsxwMgY01SBKHo1EMwwQjRzocjokf7vRe0+LBCrZl7957dc/eq3v2XvUpf+q069Rp18uDas6ae1MyxtgYR26uzvPk0Jfv0TTFtu3xb9W3LMuy3EePuo6mXft6RZqncKdHYwG4rqhWx9am2x0ty4Lu1RRF0TSNY8BhXTyDt4rB9lbBtufYVa7YtaCRdIFXdJvYts1xnN8TWZaVk5MTExPjdxyFYRiWZSVJ4nne7XZ73sw0TTscDl3XbdsO5l3tcfGG4wc+Lx/oT00QBM/zPh7fsiyzLHs3T4WBMeMxFXEAzC/nPNxv8FbdsF7sW/eFzvrMLw4fP5ELi837K37NGjs2dvvkD5qKomjbNoZhiqLAwQOHAyxf0nbcW3+fOn29i344+UDnZx7wBL9TeQRozkHIirl+47n+fets++OiJw6d57CHW8T9tu6s39r2H7T2+5XdiqMdSh44Cg5HXEq7LghEEVChQoWJEydOnDjR5XKlp6enp6fbtp2QkFCjRg3keoRAIBAIBAJx5+g7iOBBkbm3yWef55voXHIZjz1aRdf1u3lWe14cDscNU1rQvY+vTTAEw8Bva7ryfFAGxOWO9o/cG4wA7cOFC66uPdflN5DBcYV7gfMc4ZL9B9V6BCDDMAKHDOM47nLhy5Yf1XULADD05VoLvjxu6Pa27ZkFVmD+wuNPPVH5/AXZNLHISHbd+nOnTrvq1gmVXPrAwVt6dKvRplUlKI/iOL5565lNWy54714p7r9gSRyY1cAvNk6k821dLhfMDlfR3injsaJ5NAOvL5s8RlCS7GY5tviCoHEcZ1lW13XDMBRFyU/JdblcqampJElyHBcfH++zNTIy0jRNDLvJugdGKEP5kuM4TdMKdOqnaRpqeQ6HA2rZAACGYWiahi98t9vtEUFwHOc4zrIsDMNg6DTKBAAAUBT51eHJH366n2UpXXePHVXX4XBgGHY1Wx0y+o9mzSrs2JHZs++WXyfKV4Xafceemz/3YQzDYPNKkjRhfMre/dlTPz8AAFiyqPXiJVv69G4Fj8yyhCTd1MKyYk7+8L64WKFLj3UR4UzjlCbwFmia1r1rNadT+3PHpbw1zMhQdu8+2rhxrWJvixIBatAMwyANGnEnwfN8cnJycnJyaVcEgUAgEAgEogyBkhDedei6jtTn20FVtUuZ+UYLkiRumibyNvEBqnKGYXTvsyE/JXDjbz3vVPUZACAIXL/eNW5hx8SEkLatfSVLSGyMo1CHenXkvX7X10gKxTAgCIIgCBkZbkEQ/HoWQziOGzZq++atFwAAH3+YMn3WUVk2Nf2m4Zb4eD4+noeCEsMQy75q++7bjZd+2QbHMVm2Rw5rOPjFpN49anTqWHXZV20Op+a0eihGVc0Fi450771BEERBECzLenFAXZ9Tu9Wbug6B6QRw4zgOo3ojwGERy6iI7XMSNQDAc7AaHLhchUnFAOB5HvodF6q58oNhGNhWoijyPC/LMgwudjgcATxtFUVxOp1ZWVlpaWk+anhERARJkvlFT8Mob4IgAqcrFATBMAyYZlBRFBzHMQwTBMEjPcNiMF8ihmEwXtvtdsNJ4kgBhNi2nVCFWjq/5f+zd55xUhN/GJ+03ewmew2ucI12cFTpCkhvKiqKhaKAIKiAIKio/C0oig1BUZoognQpNpDeEaRJ7+UoxxWucG2z6eX/Ys5l2dvb270CV+b7uRe5ZJJMkkmyeeY3zw9qwZqmwVNqY/HZ09sfOnqreYsQksQemWQd8V6yKOmCIMAYdri6JElNG7NffNoWADB42I6Zc846OxVMJg+JKD+fepwgMJomZn3b0bUDQJKkUa80pGkPqwAAxk/YW8k6ONEbE4FAIBAIBAKBqPSgCOiqBco+X3L27D3nZWlUZKWVUEuCYRiCIMz94WJhBdb99rTZbLqbVbr7jBjeKTtX/v2P636tdeVq3pWreR4X1a3jnxUsTniWlS9dzh0waCuc7v1w5IZNKb8s7Qntg3EcpygaBjsDDCQlOabP2A0AeHN8wzW/Xn/rf0cBACxL1arJxtUNatUytG4dm67rUNOErsSKovA8FxVJCoJjzsy2ThtiQRCe6x8Hd3p/m3AzTf4w/6JhgFde3UWR+CeT79+2I8mtnhcuO0CnO+ZgGGDlsxjF4kxsFmhk1VNp3AEMTBMzLBZaBjYHGY4ZigEoDMMoijabSXhcBEGs/jXxkYdrVgsxOc0rAAA0TefmadVCzLl5so0loYwLTTBgcLGu66IoQr3MZLrdYqH4C4qyVNY0LS8v79y5cwRBQCthwzBEUYQ21l6ARs9QRtc0zbXOEMMwXEVJqJzCaacTNJxPURSU+CmKUlWVJPPPCbxeVdkP2omrS4nFYlFVMPqNf+5rHAIAOHkmt26cLeUG73CoAIADhzJ7dGNdL5+u66HV8TGjm8yac9owwJtv/T7j62cAALgneT87W/pz3bUf53YURXfXdVEUx4xsMm2Gh2QDug5On7l+X9PapXCo5QZRFCmKKvJGQCAqBIZh5OTk8DxvMplCQ0PvdXUQCAQCgUAgygVIgK5CIPW55BiG8eW0414KfDGlLVJw3IDmGxaL5fARzy4Njz4SXa1a0N2t1L3hrTd69H8m5cOP91246FlT9ouhQ9wjmkVROnjq+omrOWdvCKpuNKtp7dg0vFmDWBjcGhFR9EnesCkFAHD0WEb9ehaGYebOO7Nnb6prAbMJf7JPDMwuSBDYvNmdzGbMGWDrqtwVFEndsupJkvTXhhQAwKvj9pMkFhxsys6W8/KU6tXNR4+mLl12xW31nbvSjGHALU63hukyAIDSuSyskYVwAADqYeuAFVzXuyiKFGU6oAEsUWyo07XCzIlD30ieMb2DJEk0TW/cfGPj5hsAgGWLegiCAwBgNpuXrkg4f/7W9US+R7fogf1jGYZxqrduRszwlBZ0Z/ZixOFaxvuZKQz4bIGmEG4Pc9/jl2GkrbOGzgEx8HpZrdaCF64qg2HYb2uvBLDk/kP5j6+EK45B/WsuXnIFAPDTwss/Lby89OeuJEk6Q5h1Xb+/dbWoKCY52bFnb9rWbUfvbxOXlMwDAN57p+XmbTf+PZLh3P6p01k9uoV6fDU3bx4SG8Mm3vDwQnl/0r7fVseSZKWSa6HjeWWy/kdUNXieX7169dq1azdv3gzfht27d9+2bZuzwKpVq06dOtWiRYu+fftWpkEnsPvTbrfn5ube67p4xvmSFUWx4g4DhW8KnucrQdoGRVHKbWvxBfjGr9CH4Lwp7HZ7xX0cwYTGeXl5FfoQ4ITD4ai4RwHhOK6iHwIAQFXVcntrw4d/RR8HiX7oVwmgzeK9rkVlQNcNnvfmlFrRnwhlAU3T8G1UWPfHkOeb39UK3VNiYyMXzn9WVdVJkzft2u3B49VHrFYyJqaG89+k5JvzN185fu0OZXP7afv203YbfeXLF5tGRlSPq1ujwGbuwGYjQ4LN8fUDzp7LaN6soa7rublC/2drEgS2/JdrAIDgYFNYKP3H2hsmCn9tbNNWLUI5jiv2d5CmaSyb/w5SVeORXpHLV15jGfKlFxulZwgsSz7eJWLNb4ku5Q0dEATwoNVWwy+HGAl2NchG5sA5NfFdwAyylHBJo4NoMQvDgsDVN0bVTLiUUj9G6Tfodm7D51/YNqBfXE6OdOhw+jN9a0wZzqfwsZ/P5RmGKagUOzEMg6KoggK0pmkmk8lqtZad2ZEgCK65BKHBultqQS948VeBWK1WSZJ81MQrPQRBnDqblZF5xwt06crrvXrW2LI1v29m0NCds79tHxBwu+NBkqSpnz3wvw8OJSZyn089kpOzH86fPe+0awJbisKvXM21Wq0eL58gCJ9+3Hrr9pTFS93HjmTekiZ/sunjj3pXgh/6rqiqquu669gCBKKikJeX17Zt23PnvA2SM5vNU6ZMefLJJ/v27XvXKnYXgA8iDMPK7RPJWbHyXEkfqQSHAKkER1FxD8G127tCtyjMhXtdl1Kgoh8FuhBlTbmtmF8gAbryg9Tnu0mR4k5VAypxXgQFisKjorwNUBV43p50IjBjH6VyAACJCsqJfqxGbFzp1/UuQpLkZ588lnAlZeSrWxyO4ih9P83rASc4jp+85Oil1ELvcbuoj55zYvqwenVqxVSrZr51y3PJuLo2ksTOX8i7nujo81gtnncwDHPydM6JUzkAgAbxAbJiZGaIFy7mPdmn1jNP1RYEoYTB/oZhdOpQPTWV37ItqV3bUNpC9Hk8ukWzkMlT8pN8rvktsUF8QO3ato2bkuEczSAJrLA8igZJGJeMPhSwB4FrhJ7L4NkhVBqgwGXj0XrYWgDAA3VSADBYIve5/vHLVyY2aRw4813dMHAAMjCcNL+IZ2ghCUq9OOvmYyeoIvPyFfYjAMrWTv/lssAwDIvFommaLMsEQbiabBSJLMtmsxnHcY+9ZTD8maZpi8Wi6zo0zym1eldABEG9nuhBHcbAHVd/+oyTn37c1nUOz/Off/LA8y9srxFBO0XnnBx55MuNWrcMvXHDER8fpCiyl2ejxWIhCKJ71+iCAjQAYPvOm716nunYoUlxjqoco+s6dLy51xVBIPzAbrf36NHj3LlzAQEBI0aMaNKkicViGThwoFuxJk2ahISEpKSkGIZROT4jIfBYWJYNCAi413XxjCAIsJ/PbDZbrRXVK0/TtOzsbIvFYjabiy5dXsnMzAQAUBRVbluLL+Tl5RmGUXEPwTCM3Nxc+CuXZdmK638FBwTYbLaK+wHucDjgL22GYbzkkin/ZGZmMgxTCcaxkSRZbm9t2EIqbmuHVPgmgigSpD6XIrhHI09EIUDb3D/XJT7zVN0pnx/1WObrqQ8W9hjNzclmTs0JVDJcrY5pLSfw8iz+WjW8w3sV/flbt07k5vVDjp+4/OHHhwrThT1Sv76tZs0oAICdcwyddkDzIez+zYWX1kyKnDG96+Chm1zn14uzPfpI9LHjt/bsTXfGQ/R9oraqChzHLV/cQxQ1sxmHn5e3bokYhjGMBxOJ4qHr+iMP19yyLWn/gYwLF3OzsuTGTYJdC5y/kHf+Ql6PbhHHT2ZnZkp2NaCaKaOwrdFYLjAMBdjS9MaSJEGZNQ5bWxvbAgvYyBzDABgGhvTKWb4SfPqmNYBKBgDcUO4X9WCgAwBAnGkzBoAkaTeShOrVvFXeu6NRmYoLTudom81WjCe8JEk2m82LbC2KotVqhZ7XruYSVRAMx0KCTVnZ7qHue/+5w1DoylXONWYcwzCz2QzfF7puBAeZsv/ToDt3jOQ4LjqadDg44MnFBQID2wEABGFgmOfhI++8e/D31RHh4dWLfXTlE13X4f17ryuCQPjKzJkzDx8+HBMTs2vXrjp16gAA0tPTC74FwsPDQ0NDU1NTkSEeAoFAIBCIKkjFlm8Q3oEixb2uRaVCELydzzEjmyADaCfQeQPHcVHSBg7ZduZcVsEy1aqZW7WsX3C+YRhZh5aEHp1sVTyrjVb1VuaxPyrBJxyO4y1b1F/3+6B/9gz/4N2WvqwSHGRa+OOzAABd18fMOuyL+gz5ZNHhmrHhUZEWlrkd6XDpsn3GzHO7/76tPptNOEHkb5TjOFUVHA4Hx3Ecx5nNakiIuRQDexmGqRGRH4uUlSU//HjMnMVXCcL9o33bjpuZmdIH7zbt9wF4cHy1bm9X/2pjk79T2h661e6qo76z5hgA9bB1vD0rGj8Qbb1W3ThRy9iIAUCA2xWGgkCwObN1y+BoNj+wWjSCBEHQNC0Ev4gBYAAwYljc+g3XvIeEeD8PZerGIwgCQRCqqtrt9sIUTO8UrDzDMDRNw04dkiRxHHc4HKIoVnEdkCLBqJcaFexNeLpvTdd/zWb82PFMm80Gg8dZloVBCqNerq9pGFSfO3YIN5lwN28Ti8XiDMejKMpmszEMg+M4QRCGYew/cFOSdS/PuWcHriuFgyx/oF8viIrF7t27GYZZtWoVVJ8Lw2Kx0DSdlZVVCX69IBAIBAKBQPgLioCutMBxrPe6FpWNM2fcE6O5El8/iGFow9BRFi+apq8n8u9/dMhmo+z2QnW6Od92KzhTFAT64KcRehFSfnTuHk5+1FSJ1LFHHm5x4ODNrdtTvJSJrGFZsbQfzEE3c/XhXN4P+47TN/in+/3i5mZbkGlfti+jYRMMw7jeGjRN//DTuV278493wKC6f2xOBQBQIZYgK/5Ez0jWSuQLxgYAwDh1yS5KOgBAko0/Nqf+sTl/OzXCIr9/U6tuzjfUbhawFwDAgEwv7zcS0z58zQrALfhvPdMWiWTMeL7TQrpQY/7Cy926RELttbDb2WQyFfaMxXG8TKOGLRZLSR7vBEG4hebhOC7LsqIoFEVZLBZRFJ19aQ6Hg6ZpkiSrZu8az/OxUdTiHzpfT3R8+NkRTcuXjRKT72gVkqT/tPB8zVhLWFggAEDTtOuJWT8tTMBxMGVy20FDt6mq8ffetBVLesBh4ARB4DhuNpsxDFvw8/mnn6pNEqqiKDiOyzL2zntHWzavvnV7EgDg+QG1vVRPVfVz5640bOhN86q4iKJI0/S9rgUCUTSnTp2qVq1a8+ZFJLSANz7qXEEgEAgEAlE1QQJ05cQwDKQ+lwUmc6HGlJ061AAYwDBw6N/M+1uH+p4TrJJBEITVah03YW9amgAA8KI+vzm+SUxMpNtMRZHpg1NMuk9n70bCmbqNfIoarihM/vCRBvEHZs45U3ARgWMfvNe6Z4+mUDp08MLOM/4JgpoOwsJo7wJ02wfCbDbMS2hvsXPTYRgGM4y5bE+tWH8AACAASURBVAo/cDDNaiV5Xh3yQt1VG1Kdixy8vvzPJB+3nJouPfEOeLJXo9EPJTKEr+ck3JLs+q9TfdYNbMCYWwCAhx+K5XmeZdmC6xIEQdO0F0EWOleUnf0RjrsH0vqOzWbTNM0tuFvXdeg4LIpiweBoGAddmG10VYDn+dDq2KJ5XUaM2SOKGgBgz770oS/U/XlRgrPM1M9bjp/wryTp777T5Nz53Ogoa8IVe1SUdc73pxs3Ckm4kstxKoZhJpMJBpjrug4v4sD+NWnaBICJ4zgcx1+fsNfOKVB9BgBcvWZ/7dUG380+X1jdPv3i8NJFlVOABkiDRlQQ0tPTY2NjixwvAgOfK5P7MwKBQCAQCITvIAG6EoJin8sOq7XQr4s9e1PPX8hJzxAAAF9PbR9ana5qQS4YhgFgmjr9RHauBNVnLzzeO/rpvg+4zdR1HRyY7qP6DACwymnFqWj5ZuCAts883WrnrvM7d1/fvSetVk2mTevQrp1rN24c45qbYv66U/5uOdCCnzmbW9jSgADq66kPEoTq3VlCVVUYf+3v3gvmXMIw9ce5XXJypLGv791z2INDi1/8sSXtjy3mfr1jBnfJCjF5axgnbzVdtCb3mUcD2ta6jGHuB7Jwe508+1UAQEw0CwAoeBfTNG0YRpE9TKqqms3mMtKgJUmi6WI+YWByxYJh3Q6Hw2azFbZNSZKsVmsVH9vhcHDzZ3UcNX6fnVMAAItXXOvXr9aqVdfg0pdHH4QTCxcl6AZITxcAABSJ7dmbCgD4emr75SvPw56Jo8cyLRYiPV1o3SoQAIBhmCRJn355cvIHbSRJjKsbeOxEpnOn/xzI/OdAJkXhiuJZ/c/KquRpHmD/B9LsEOWZ4OBgXdfdUi4XbLSiKEqSFBERgdozAoFAIBCIKggSoCshSH0uO77/8biXpW+Mu+/9jw79762Wi5deGNi/Xkiwl7KVDRzHNZ16efRuXwo/1DNy4tu9Cs7nD34fovihKVdWE0WKonr1bNqrZ1Mv0VK7zvrth9CzofXSRs+LvvqiXVgoJctikb4RxVOfIW6ZkWVZBkAODDRPntTq87nnirdNN1ZtSF+1AcRGRuE4FmgjR/cPCrVkaQbp0NibmeC39Vk3koWr1y4DAHbtyQgKNE14rWbnhklWMl9XvW6v+9vamxNebzRj5nnDMAo6aTAMI4qiL9HHkiRRFOXFpqMkqKpa7EzZgiCwLOuxm8G7bYiqqkiDdjgcc2c8OPr1fXl2BQCw5o8bvXtHbdmSoqq3b4qkZP6XpT0BAAMGbXUamvM8P+H1VjDxY3x9C8uyjRrmzz9wKPuB+8MxDDw3ZFvdOgGJNzzc2oWpzwCAvDzF4eAZxlqax1nOgD0u97oWCEShxMfHnzlzJjExMS4uzkuxK1euJCcnN2/eHAnQCAQCgUAgqiBIgK5sVLWo27uJYRj7D3jOiQd5d9LB9m1rLFxyPinJ8dYbLXi+qlimMgyTlyeMHOuT+jxxwn2PP9a64NdXZlpqpHDRr/06zO4OHpWMwr5RC5OAMQw81zH8l71phgH0AkUSTt3yuNbnnzwQHORrxxWM8CqeqMpxHMuybs4VkiTF1w9Z+HX7rXtSBVHt0THyw+nHM/0J6hzWP65dq9DT57O/W5BvU5CYkv8YfOUjO8HLDodnXTUnV3n/k8sAALOJfPvN+OZx0rMvXdF1MO2bs4EBJhiX6iq4w8ozDOOjwY6iKNDBo1x1CtpstsLqLwiCzWaDImlB4FFUZSMOiMPhmPPNg4Nf2gXbxaZtN2krGR9tdR1e8PyQbZpuAACuXXd8PqXVur8SSdIsSZLNZgMACILAcZzFYlE13Wq1mkx5I17ZBVdMuJLnZdcT3mg27esTbjN1A4x4Ze2KpQNK8yDLH8iLA1GeadWq1b59+6ZMmbJw4ULni9vtDa4oyuuvv56bm9usWTMkQCMQCAQCgaiC4Pe6AohSA2WNL2uuXk32XkDXwd5/UmOiLOPHNiQIzGazsSzLsizDMAzD3J1K3k0wDLNarRRlGfzijpFj/ymyPMuSq5b17vN4G4+fXqHnvvO4lo4VGukZW7eB77WtTGRkeJaSDQPER1o7NGALqs8AgNw8D0GvfZ+oHR5O+h7UbBgGRVE4Xsx3h6ZpHtflOK5dS1u39sG6Jkx+o+HCr9s/1DnSaiEKlnRl3IiGP069v2VjqyQ66tUy/TStbc1o9xtNEHyIVpb1Tz4/9/TwK507RcA5tIUAAJjNZnjnkiTJMEwxsvBxHKfrOsuypS43wEDm4q3rRUG22+00TXtU+kwmk9lstlorc6StjzgcjqXzu3Zol99aRFE/d5n7aFIz50XW/rsDbTbqoV5tv57WF8Ow8xdyXnv9b1nRLBYLhmGCIOgaPvzlnX/8edXH/U77+oTV6uGmuJ7omDtvV7GHJlQU0C8cRLll1KhRLMsuWrRowIABJ0+edDNfEkXxyJEjffr02bp1a0BAwPjx45EAjUAgEAgEogqCBOhKgmEYZZfwCgHxRX7q3jVi/4HMvfsyeZ632+0cx3Ec53A4VFVlWbbYsl35hGXZOfPODn1pp6YVLXy89fp9W9a/EB1dw+NSB2endA+20QbAk2Ke87iKjhGuZotVils5nmNUAQCTfrm625M7x4Se9NCHPJTv0T3ax3R2JEnSNA3PebFjYAVBMJvNrhfOYrG4BQjrus5x3GPdq8+acr+Xj/RenSIb1LG4alI8z3/0RrOp77WqEW5hrSQAoH3rEN2jGF8Ih//NZKwEACAo0AyPkeM4mqYJgnBGDcM4Vrckfl5QVdW5Ed9r4guCILi5mvhYH+8FRFEURRHG6roiyzJ60TiRJGno87Umvtnc2UQ//uJ0bG1b82Z3WC+FhdIAgMzMrHcnHfx86sn0DHHc63sNw4CNwWIheEFLTvEjYy3Pe75blyxL2LDxWPGOpQKBNGhE+SQ+Pn7t2rUkSa5atap9+/a1atXq16+fpmkXL158/PHHa9Wq1bFjx02bNpEk+csvv9SqVete1xeBQCAQCATiHlCp5LAqi67rkiQJgnDrVs7Nmxk+ykkIfylS7nyyT/T2HTcBAC1bVHfOZBgGx3FJkjiOoyiKYZjCIl8oiqL/o8hc6vcchmFHjNq1b//NIks+2C5081/9+z7ZxkuZ3JtXPM7HgB6buMjjosTIAVU2hqhakLs46J0ZPTK7Zi66j9/hNr9unQAbW/RbgCAIGBIriqIsyz4aUBSGIAjOW4lhGEmSCtM0eZ5vEl+ok3qXduEFtVSO4yxm5cPxjaZPav7F/1o0jvPvRHGc+lCvKABAxw41nF4TMG0UAICiKJZlKYqy2+0YhtE07XtosyAIpW4goGmaXw8KkiStVquu60X6Rxd0SoFwHFf+H013AZPJhOO41Wq9r3HIsp+6mc35N9GNJP7kubzBg+pQVP4cmK4wMjJ859YXuneN6PhgWHaOfODgTbPZDHs1nn26rr97J0nPTe7TL47t23emuMdUYRBFsdLHeiMqHBiGde7cedmyZQ0bNnQ4HDdv3ty9ezcA4MaNG3/99VdaWpogCLVr116wYEGvXr2q7E8XBAKBQCAQVRzkAV3hSU1N/+a7fw7/m+46vj6urm3YkIZdOjdBP3NLkdq1o7ws7f9szVWrr8Ppbl2inT6qdruSk6PXrGmz2+1Qa6NpGsfxgrawZrPZKfqwLFueIw1Zlh00bHuRgc/N7gv+dHK3kJCgIjcYlLnPrwpIRGBEvVZ+rVKZCAurXnSh/+h/P1Pv1koAAKUJjz4StX7jbSeZTz663+EoOq7fZDIJgof49GIjyzKGYRRFCYLgJZjaMIw3Xm44+ZuT1zylZdtzMO2x7qEepSiYYS88lA0PjWqzIIyiTCkp3I5dyes3JroW69yxxqhXmgAAHA5F0wyYQvO3PxJfHl6vW9do15JQgofWvXCOqqpQ/oa3sy+p+cqiaxDDMIZhNE3zHhmKYRiO4zRNcxxHEESRNYEXyOO51TQNpSKET29JkqAtydvjmn3+9XFnHsJlq65H1rC2bBa0dl1SZmb+Y5xlma++fNowjEkfrf3196sLFl34cW4XXdeferL26l8T/No73BFJYq6ZDyFv/e/AvDnmpk28pUGrBMiybDKZ0M8bRLkCx/F+/fo9+eSTv/zyy5QpUzIy8sNBcBxnGOaNN94YNWoUsjBCIBAIBAJRlUECdMWG54XH+q4uqBJcTrC/9+Ehs/lflqG++rxtgwaV/HP07lBY6N/9bao91DNyymennBfCNWvZwMHbAADBQaY5MztB9QpKRQU/nl1DDnmeN5vN5VODtlgsX0477l19jgin53//qC/SM4RUvaXeKgjXfJytcvmZ+Mv4nrYzN43d5zi5CEMF0Me8B/zXOTW4Vcr6ja4LfQokLHXvCFVVSZKEKpL3BH0cx709sh5FUSRJJqXyH39zUlHzBetNu1KeeiTK+z0C7ylJkgICwNN9YwY9V59zqLt2JS/75dLs7zqyDObsKGJZZtmiHgAYOI4ZhmEYhmu0r6ZphmF4zL8Hb2ebzSZJkvdjURTFYrGUrpQPDxAG5HqR8lmWFUURhq77ooMrimK1Wj2GuguCgGEY3GCRbh6VHlmWZVmuXy8gsgaT6NJNknJTSLkpDBlcZ/GSK7Cdw/kYhk3+8PFnBywBhvHFV0cnvtXywsWc4u26oPoMeWX07p/nE/Xr1y7eZisEBw6c+WbmyT/WDL3XFUEg3DGZTEOGDBk0aJDD4cjLy4M5AGw2WzHskhAIBAKBQCAqGVVawanoaJrWtddCL0NRJUm/lSW9+MruK1du3MV6VWYmvtUUx0FstPXjSc1efrEeMAAwwKFDtz759JTHC+Gc+fhjtd3UHKMArkt1Xb/Lnyu+j6zHceL4yczCljJWcs2KR39b9bzv6jMAQKEKdVooSHLYo7bAEN/LVz6y//6pZ+b88eRPvzddub7FyvUtVs7v6fkebxBpCuIuO/+tod6OtcQwUORIdpIkC3NjKAm6rkNJzhdXdBjey3FckE2fNaXl95+3hfP79IqBkc6F4XZ0mqZxHAcMsUvnassXdzdRiqte7HA4eJ7jeQc0bYdirus9CPuECtPi7Xa7ruvec41qmqaqalkYwSuK4uVxQZIkz/OKovhuXGAymbzEOEN1XtO0YmdBrGTgOG61EH0eiZr37R1GQ0tXXqcs5I0bqW6Fly8Z2KtXpN0uZWXl/rTw7ORJ3uyJisHQETvS0gp9RFcCMjLFxBuOF19ejrw4EOWETz/99KuvvsrKyoL/4jhus9mioqJiYmKCg4OR+oxAIBAIBAIBkABdcdE07YlnFiuKT19fS5afLev6VBFysiVdA4k3+EmTT/zw0yWPZSLCLTAwkKKol0ftgjMbNgjy91NZUZSyG2IMDUxJkrT9h8lkstlsFgvjPcEajuNTvy401dVLL9bbsmFIZGSEv/XJCevsY8n0gDahTXr6u/3KROr1hLDMg24za2T+06eFBzXw5cbprv9apYzg4PxgTMMoNIgSwrIslBpLVl/PYBhms9n8TSkmy7Ki8Au/bv+/MU2e6BXlPReil9unSBtrnuetVqubWCyKopd+GlVVeZ73rsnCyGIAAEzxV1o3eMFEjm4V81f+oCiqyOcVbBsMw7Asa7FYqmaIH2zGu/elYhgWV5flBfWZJ2JcC2ia0f+FjZcu3eH9Yjabhg1pk3CFGz/h36mft68XF1jsCtSt49nl/JkBa0+dvlJZ9dn69YIAAMdPZP8wf+e9rgsCAQAAkyZNmjVrlvc+SAQCgUAgEIgqTpX7XKwcGIYxeuzqlBRfXThrxvqXiQvhkc1bjn3/48Uii3Xtkm8LYDKZOEf+EPVaNW3+CnkURbmKSgRB6Lrur6BAUZTHKFGapgmCsFgsAICJ7x+QFS0tTXC6asye0dFk0giCwHGTyYS7qnUkSV67Zve4r9hYZuW+7HPpOz4Y2dZm8+8zLCK2nnEVw4pyhEiu1jO02aN+bbnyEX5qnsf5Q8lVa0FvOG0147ykkwSIy7pDoLGba2Rn325UJhNRULeEfsHQAabsMppi2G37C3/hOC4yrGjb5WLIu273i+vtRlGUq0u7R6Ama7VaZVkuaE/Bsqyu61CyDJRPY2x9Ws/KFG3eZfRSwWQy+e7n41eMtsPhYFkWx3G73W6xWEiS9LdToUJjGIbD4WjXplrb1iFmsxnDsNDqHprlwGEbFs7t3qRJnLNNwl66ABs17o2/09K9nbGHekaNGf0ATZvemrjl+Ikst6UJVzzfRJpmvDJ6Z/16R6ZP7VGtmh/jSyoE9erVxrCdhgHmzT/XuFFYhweb3OsaIao6sOe+yFTVCAQCgUAgEFUZFAFd8TAM47MvNhw+csv3VTp1iC66EMIr168nT55y1JeSQUH5yZEURakZy9JmAhRwA/AXKPFQFAUDJ4sEilw0TdM0ffqMg2FYmqZtNpszPAeOx9+89frR4xnXrttTUnhXT+d/j2XYbLZ161OGvrRzz9/u48dzcj3HWsqSBgA4eYl79s1tWVn+GZsSBHGt1ggvBRTcktrkbaQ+Z99KNyuez61ZtX/QNf/S8JIOABjbASf0Oy7WDr69c3rs6CZuGi5FURaLhaZpDMOgaUMp194FURRL3VraDX/rDzMNOv+FZsdwGk742IfE8zyO47B3xxXDMHieNwxj564kkefjxN+i5V3BFrnkphxwuLfFYoGnlCRJkiQJgjCbzVarlWEYv3IGEgThV2+Zqqqwj0oQBFmWYU38PYSKi67rsiwrigJPmtOj3I33Ptz74eS1zhdBZmYWACArW3r4oUjv25/0/kPVqgUzDDNzRh+z2b+mcvFS3uN9f/v998N+rVX+wTBs1EvxcPq1N3ZXbr8RRIUgPj5e07TymbcDgUAgEAgEopyABOiKxx9/7v/1j2u+lydJrE6d2DKrTpVA1/WXRm3zuCgiwj2n+dx5Z+0cBgCQZfmzT9p+M+3BZk2rFWOnPM9DvRia8CqK4jGs0iNWq/Xk6Vsvjf57wOCt384+9dwL24YM3zVm/N8Oh0rTNMuyUGgLDbVOnX684OoLF50fMHjr72uvAgB+XnrBVU7yElUaE3076nnwu7v9lf+i6jROqvdqQZ1ew8jEqIFap0+rhRWh1FQJEnZ5WfhAzp+LO52Y1i1rbFf65c5s97wVAAAdN6XU6gsL/LQqv+PKZjM9cH+oa+wtbGyCIAiCcBeSy8GMfGW6C0mS/IpH0zRN13VokQH+6zRiWZZhGIZh/GrPsiyLogi9KaBztDM0WNf1G0n2vmNyd9zsAACwCScZK13U9oqA4zjDMGB6Q4qi4FAJkiQlSeJ53uFw+BXJ7m/HgKuAruu63W6XZRmeNL+243HLLMsSBFFRsnjpul6ndoDHRfc1Cf5rQ9Ijjy3Izc0DAEx4ZxMAQNfB/gMZ3rd59WoSnCAI4q8/+hejVl99c/LLr7YWY8XyzMAB7ZzTTzyz2nv+TwSirGnbtm1GRsapU6fudUUQCAQCgUAgyi9IgK5gHDp0/JPPC3Xg9YiqGh27LejUfcGwEasFoQoNji5Flq04yHEeJLlPJrfJzBQKzv958QUo4hAE9vpb+/73TstiKHpwcLdbCjhZLiJeEmaNGzFq92dfHhXF26qTYYDMW+JLo3ePHLv35dG7BwzeimHYjJkni6yGKGquI8S9hHJ373FbINZ0MO5Tv905w2LqyV2+Trtv4rnw58+FDrgc9QL34Jdql68i4h8oi9RtFRFz3nWP85PjBgIAMKBXs59vmL314ZxFT+T9BPsKrjZ/y8onAQA2WIem3hQAAPe3Cf1hTieoVwIAMAxjWdbhcJRpyPPdxzAMiqL8WkVV1f0H7nDNhjkJi2GEDe04BEGQJMkwDAzDzGYztL0e/HwDAMCkzy5eku4LwVPrir+VXIvnOI5lWU3TFEXRdb0ksXj+6rwFO6U0TXM4HPDxVbw6QBiG4ThO13VRFHmet1gs5fw5oCiKLBujhscVXNS4SRAAID1D7NZrydmzlxo3zO+VvHipCCOapS4pHBjGuvTnh4tRsT/XJQ4aurLsHHXuPgRBLF/0CJyWZb33E4vubX0QVZwJEyYEBga++OKLCQkJldV7HYFAIBAIBKKElOtvOYQbCQmJI8fuK8aKmmaoqnHhUl73h5d1f+hnWa5UMlNZYxjGTwvOe1z0wYeH3dK4WSwEAOD4iUyofBmGUSOCHjBoa7Fj99yUL+gEXbAY9NywWtl3Pzw6cMg2ni9U73Y4VDunAAAGDN4qyz6Zz0bWuB3JSFFUSLDnPGz8nSkxr6QIxRA0MRwPrh5Rt3Gbuk3bxsa3MJnNZZeJsSLCOjwL0GJAHQCAgeGZ0T0SWkx0zs+KeNDkSLVlHJ9y+ekPPz0HAOjZPfrVkQ1d25XVai2jTIPeuQtf6f7qlZIkPdg+wpkhsLRqqOu6oig8z9vtdqvVimHY4gVdBUGbPMtuGBgOtGjtQMmlVUEQYLxwSTYCNV+/VoGpF52R4644sxT6Ww0MwxiGgS7hhmGoqgpFbegPw7Js+XwsyLIcVydg/2EPBlnQoQgAYBhg0NAtdu52z6XVSj76SKGjlM6czXb9t06dqE8+alWMul25wvXpu+wuGI7fNWrVinxxaD04nZUlfzxl3b2tD6IqExERsWHDhtzc3AceeKBfv37bt29PS0tzOBxCISCRGoFAIBAIRBWkvA9oRThxOPiBQ/5ynTNmZPys7y/4ux1B1Ho9urROLTYnV+79cHTfJ5pVqxZUetWshFy7flNWfPpoH9i/dp/H6g4cvO3rqe2d4YdXrzkAAOs3JHbpXBwjDjc8frQwDIPj+IpVl/5cd63ku3Djf2+3cE1CCADIypYAAO+91ywp444Qy5Xb7ggdBQBcvZ5UP652qVepyiJLEqN7Hmle9+inOWH3c8GNBGtk3eNTExuNij07VzEFZkd1DU9YM+Pa42v/SmraJGT82PtIUncbrn6vtLy78AVejF3AUGKr1Qo9oAmCKN24USjvWiwWlqXOnc8b93P8d8PO2/Qkq/XBEnYDaJrGcZzJZLJarf4meHSq7cXQwWGsNwCAZVlBENxOl8PhwDAM5ieUZdkwDGfzoyhKVVXoVQ0AEEURwzA4WMRt5AdE13VBEGBnHk3ThmGUt4SHBEHgOG5j3ePuSRJLSrqjqn9tSHZOfz+r0+pfEyw0IYgeWtqtLDE3Ny8w8LazR/duzSPCA18evcPf1p2do7z2+p+zvu3r32rlmOFDO166lPf3vjQAwB/rElu1PPho7wfudaUQVZH3339/6tSpcHrNmjVr1qzxXl5RlPLvKYRAIBAIBAJRuqAI6IqBruuDhq52C7aF6nP1auaYaA+hZ16QZf38xbybaeKCRZcff+rX1FR33RDhyl/rz/lYcsXKq5pm/LK0Z2ioCao5TkHh36PpFgtT8iBHRVHcIg1ZljUMMGDw1rJQnwEAzZpWL/iZ9Oa4RjPXJP++O9P1T5AKyPQoxqdUEXjPAiVvq32l+duB6f9GXVxc68xsgOGKpRoAgJJzax/74pwad+GKtHhBl/FjG+i6WNAs9V4J0HchGLN4GjfHcQBgLMv+eyRl6/ZUv4ykfUQQhDnfdQQAnDmTM2tPa93A64krbSzLMEwJLwdMiOfXKiaTCSYsZVm2JDYsHMfBdIjmOwcuQH9qp6AMDZ1hmDnDMDRNQ78ODMNgdDPDMNDGuuAuDMOANYTdA+VNwYH5G//+545XKmMlVvz8+Hv/e/T+NtU9rmUyEdu2J3lUnwEAPK898vjqQ4cvus5s3Lj2D3O6eq9MndoeAs+PHsta8PPf3lesQGAY9sWnjzZqmN+J/sHkfy9evHZPa4RAIBAIBAKBQCA8U74+3hCF8dX0zdcTPWtPmbdKmnT7rXd3LV3Yr4QbqcRs3Z7ie2GCwFxjDy000alD2J696Rcu5hIEViqKm6uKDYfzPz/Uc4LEkoNhQFXVgprUit0expgjyhpdcnicb7VfjT09GwM6MAAl5wIA6h6ZAhdds7Ub83HmkoXdeN7zuvfQyqCEZhG+UOwgaxzHNm2+kp0j/bkuqV5ccEy0f17SvqAo4vLFPQYN3bZwydWoGm371vunnrjSACCV7pAuBZfkWSGKoslk8j0tG0VRUP8teUCxoiiKouA4DkVkAACO44qiQCNsOC7EWTGapnVddz7QYOwzjuMkSbqNunDFWV4QBKvVajabvRS+y6iqmpQs9ewasXXnTTjHROF//TrQZmMBAHNn9ev9+AJXS33I7LknClOfnYx/8+83xmU/8/Tt8N7GjesEB+/Lzi70KqeliTYbabe72zHNX3DxoZ71oqIifDyoQ4cu/LjgdEaGGBJirhcXOKBfw9q1o31c9y6AYdgPc/q+NPLXcxfyAACDhm3Ysv75oKDAe10vRNXi2WefbdCgge/ly7mdPQKBQCAQCERZgAToCsC27cdWrrlSdttPSiovX+/lk8xMPyT+f4+mt2hWzZneDQCwZ29+NNz5C9l167DFzgzmxHWEO0EQw0f6nevPdwzDXaBMzxCGDan768FcAMAbA2NOJTi2HsoqbPXXvz79zZtE/biaZVfDqgVW6CcrqbrfxQIVPHJd6/MX8iJrMLJ8R6ujaVqWZV3XrVYr/Ay2WCyujbbSUGz3DI7jatUK/vmTf1u1DPn40yMrlvQodZtsXdd53rFsUY+XRu2eMvVCzbkPNyT2WjAuUtlrNjXOJBq76aowOFrXdZ7nfdm+RxcLj8CzVIqOKLquu+6aIAiPDQwKzW4JGCVJkiSpsAZpsVgURVFV1Wq18jzP87xH7+l7BYZhKTcdnON2j93C73tA9Rku/ePXwR27zFe126c6LJQ+fzHPl41//e3p2rUDWrVs6JwzZ2a3gYM2FSxpNuOSpDt49Z03G305/WzBAi8M37RlwxBfJLBXx/5+7ET+Ez49Qzx/IXfd+kTGSn42lqr9rAAAIABJREFU5f42rRt6X/eugeP4/HnPLFz09/yFl1TV6Ntv5dYNL5a36HhE5aZ169atW7e+17VAIBAIBAKBKNegHvjyTl5e3tvv/lOmu5BlvX3nn7r0XLj/wCmUF6Ug8fEBRRf6j+nfnDxy7JZrKrARw/K/0idPOVIqY/mdqgGccDgKzTdYKuA47lrtq1fzclVs2vjGP7zfokHd6r07Ro14stD0WZpmvDb1+OlzV8u0hlUHyuJrMrcjkcM6Ta1/9lyeroPJk9rA2FKIzWYTRRHHcbPZzPM8x3G6rkuSVIxMcSWkdL2VPVKSOOL4+kEAgCNHs14cGjd46PayEDqhe/IPczoFB5kvWWIWCk8tFwZoBl5NPRMu7rKxrM1moyiKIAibzYbjeCi/h+BvwASn3vHLSYMkyTKNRtc0DSZIZFkW2j1DeJ43m83ORa54DMw3mUwwIaEoik4Vnud56OZxz6Eoymq11oiw7j+UP0Bk6pTmZ6/eMVjEbDb99ecd441UzZj5Tcd6cT5F7I4d/4+rxUTN2Kixoz2owNJ/bkhfTj+7fHGPggV4Xvtx/t4id5eSku5Un11x8Oq4N/5p3+mnHTuPlZPfDBiGvTi00yeTWgAAcnOVMeN/LScVQyAQCAQCgUAgEBAkQJdrNE3r0nPJ3dmXLOtvvnNo3o+7ExKS9+w9k5SUXhIz0MrES8Oa+lX+m29PvjrubygSORyOm+m3wxinTjtW8vo4pRkcxx2OQq+RyeTT3R0UZFq1rHetmkxhBQRRc8qXJpNpweLzZ67zP/x2/ed118dPO/HnzqQ2jUO872LCNyddBVBEsWFsgXpRD22BDJ56/dmRb50FAMTGsiuW9ND120P+CYKABgiqqroG48OQ1cKEvzLiLoQoqqpa7JHOPM/3f7au2YQv+PmyAcC8H8+VUYUFQZg540EaaACAHMO0UHiONwKCsPR64sqa/B8NjM0x5KVYcUMs/+fEHwJ+3aa4argegWq17yHb0Lu5rB1ROI7jOA5GNzMMAzM9EgQBez64O/EY5U1RlEeTkHIiNUL7EYLAHmxbHQDQpmW1T5Ylfffr9aysbNdiYWHVJ77VAk6/MiJOVXUAwKXLuT7uZeiI7Rx3+50yoH+7Rg29idfPDfFs0LRo6SVBKMJxJSkpx3uB9z88+nT/FaJY0mE9pUX37i3X/to3ONh06HDmil923evqIBAIBAKBQCAQiNsgAbpcM2jocl+KxdUttfivxcsSBr+4aeJ7B/o9v65zj8WnTpWh9UdFoV27+LYPhPq1SlaWtGVbCsyR9eTjdeDMGhHWN8b7p2V7hOM4q9UKg6z3H0x59OGoRx6KfLhnZK8eNXp0q9G9a0TXzuGL5vfYumFwu7beqh0YSE2c0Hz9H4MiI8OvXS/UhmX/gVSnKKnpxFNP17SY8cs3uH9OZPGi/lzvWm9/e7rIOl++etPfw0QUBMOwW2FtvRRYIT/X6av6q39LhP9++WlbVxUSRmiSJMnciVO/4zjOYrGURc69gmAYdhe6uAzDKPbh6Lre57GaOIEDAD75qPmevan2UjbhuL0jkiQaEnyPEKmVTZEB/rPwhGgwAAATJuJACVQvnsuq2WNC0ITXW0SEs8HSMS9SOEEQPM/7G12uKApN0yU9Et8QBMHhcEChWVEUu90Oo5iLjMEXBMHj1dQ07R5amTshCIKiqOxs+fDRLABAnVr5vXoTZuxzk8j7Pdv+/tbVAQDz5l+uGcucOevZxYimPf9CGzt+g3Maw7B5c/p6zDdYJLPmFJGNkGGKjrW/eVPo/tDS7GxfBfSypnr1kL9+H/TiC/WnzTh7+N8z97o6CAQCgUAgEAgEIh8kQJdffpi/44Jv1pCXE25nvQsJLk3x6JUxOznOcRdGypdnMAz7+qs+337dwa+1atW0GYZhNpt378lXA599uk5pRVBC5wQMI+cvuLh+Y/LGTSmbtqRs2Zq6bXvq9h03q1ej69WrSVHk9C/7bNv03MyvH3ikV2TH9mFdO4V37xrxVJ+Ygf1q/frL4xvXDunzeCsMw76avt3Lvn5ccB6atJrN5jnfn07MVhNvSroBAACDHwl/9YvjbRoHF1nhI2f8SOSI8IKl9QADeNbaDjJ9vp6d4Pw3MNA9DR1N0xzHOQrgGm3K87yu6wxTaER8aWEYxt0xaS1JYC/P8zNndAAA7N2XDgCQZa2MjEoURREVRdf1IFIDAARg6p/SYwAA0WAucfVn7Wn28qT0Jx+LVVW1QXxQjmgJo1JtNpamaY+CrHc1trAAakVR7r6XhSzLsC/NbrfLslxkuLrHYGccx8tDELSmaXa7/f7WEY0bBAEA0lQcAIBj4GqquHn3CdeShmHk2fN7X06dzvnksyMeN+h00nDjwsW8pKTbXXoEQSz4sa/N5vfd9PufiYribWxK9VCf7KcMAzz25JrExFR/K1BGYBg24sWOW9YP3Lbj6s20jHtdHQQCgUAgEAgEAgEASkJYbpFl+cDB4gSNZmXLRRfyh16P/gIAaBgfOPu7x+5aiFw5ZNESD6mcCqNRw+AG8YEwDvH8xfzQsO9mn9Y0ve0DYR5HkfuLxWIZ/Zrn+LUxozvrupGQcP23Py4f/jc9JdVDLq/1G5I3/jUYw7Dk5NQ//0r0vi/DADRN6zpOEEZKhqRqBoFjcTH0ko1p0WHmLq1CAxjqtx3eJOalG1MH9tFR2veSYzbTN5qNiz0xw3XmteCOE382JVxJc505/ct2brkHgW9mBaqqaprmewq7YuNwOO7CXkrY6ihSDwuzbNqSQpLY2xP3T/2iXVioueSpRN0QRZFlWV3XZVm2EaY8japhONqOCwcAkESWrBgAgMcfqcVxXEgI+/K4jC1fZEYohwwANGC+ZWkCAJFH1AYYpqoqdB0hCIIgCKfKr2kajuMYhiXesF+6nN6pQ3jBp5Asy7Isw+R+pXt03uE4DirpsD3IsuyMaNZ13dXF22QyFaw2hmHl58FCURSGYU0bBx47mXX6mgPHwWtP1/52zdUvl11u37JuQIBN1/WTJy8sXHzm/IWiQ4a93KxffLV/1rd9nf+aTKYZ0zoPf8VDV2JkpCUlpdD8otevp8XFRRW2NCw0xGTCZbloI3XDAAMGbVj4Y4/4+PKScpZlra+/1qP82IMgEAgEAoFAIBBVHCRAl1N0XZ8z8ylFUQ8ePPvdnDNJySVSBAIDqNy8Eo12P3ch95E+vyyY16127UIzzlViUlLSjh7zMEqaIDBN8yASTHqvtd2eH5Y+dEijw//mK8Wzvz/bsUNUyQVoDMP27U/Py/PQ2fDKS/VPn7782hv7PVbMSZ5dmfzJxs4P1Vx9iu/aJWLnLm+9Hd//eHrUy02ef2Hb04Prbz6YBQD4fGxj2ozTJuLVL47vOZreuVWYdwHaMMDsXw+PffYB344P4Y0adRpd0V6rc/o7AECuJeadjY2PHMsGwL0xMAzFcbfFF4IgfHHiNpvNzhx3NptNEISK7t9dwthYWZa/nf7gwMHbHmwX9ve+9Anv7F+xpEepC9AAAOjBrShKDbMu88aPUw9HRliTUnhZNwAA337ZDhYAAHRqF/bCNPPiCckkJpNACleOAADClUMAAANgEha4ZH/DFauu5uUpGIZhABjAwACm6bfPQ9sHwjEM83hmdF0nCOIuj3ohSRL2Q3Ac5xq+TZKk1Wp1dlGIolhQHzcMwy3S/x5CkuS3s09cumoHAGg6mPNGU47j5r7ZdOS0U0/3XylLmqzozrjmqChrcnHf7EePZamq6jqGoGHDWvXqBVy65D5qyov6DAA4fyHZiwCNYVjfJ2qvXJ1QWAE3Xnxp219/PhMc7FNCxbsDTZsVRfElbycCgUAgEAgEAoEoU8pL3BDCFefnNEWRHTrct2r5QBtboq6CEqrPEEnSnh+69YXhq8rDYOe7zMzZhz3O9yLywnHuBEG8WiBOueQfw2baOneeZ3fLeT9efHXcP97VZ8iWbakJGZKqg4yosA/eu69ggWeeqrl0Ydefvu8SHW17ZczuCW83herz8w9HBdkoAMDLU4599FJtRQVWMxYbYfGyr9HPRu8463j64x3JN9N9OkKEV2LqNRH7zJ2b9VyPzyKPHMsuWKBp4xBXDZGmabPZ7MudaxiGMxGc3W4nSbJMxz2IonjXXKeLjSAIrVuF/r0vffTIeADAv0fLalC/JEk2my0MOOa9sy0rW0pK4S00AQB4uEc0+58nCs/zz/WPv3Ax74GXbb0mRr4wo+7h7Ac0I99mBAMGbeQ0q8Pn5iqGAXTd0HRD14Gr+gwAGP7yrpVrbngMHIZXpIwOsDBcw5wNFxRF8UVcLg8G0AAAm81GEMTBI7eysuRO7UPV/x7CqqqaTTiBY4piSJLOMuRHH7QOCjI91ruWL5st7ODWbzjuNmf2t739rXORj4Qxozv6sTUA+j77m+vVLA9omlbeqoRAIBAIBAKBQFRBkABd7nAbdAwAUBTFzpWXIMRLl+1P91+ek+uTOXXlQFXV3X+nFV3OhUmTD6WnS1AWWbKwe3jYbUFn4OCtJZTbKIoa+erukmzBiVOm/v0aePPdFlbrHW65a367PmjYztHj9pgCCFAj8Ps/8i0+l21K1g1D0wyKxDb+c2vnv5nvzTn//ogGOAbqxnjwDu7YImjhP7kAAN0AY+adTs/0nHEL4Rc5OdyCRZ4jE5s0DnnnrWaCkB/5iGEYhmE8z/vihqxpmmsxURQVRSk7S2hVVQVBkGWZYZjyY6TghqZp48c2adI4ZO68C1GR1unfnFBVU1motIqiQD+KaVNaDh8S//lHrebP6rRsftdB/eNgwkZJkkwmE887fpjbGQBw65Z0+kzOyLcv3/9y0J+X2+pGvlQZHZhT5L62bkuyWKxw2mKxsP9htVrvvlrH87zVai2oIzMM4+xHgc2jMA9o8F8OwDKuqTcURZn5/RkAwIvD4o5lG67zY8MsQ0fUFyUNADDty/ZZWWJOjjzvR59snQrTiL+cdsItUJ1lmZeGx3ssHBjg+cws+PmS934pgiBmftPe4yKPmQ9lWV+6bJ+XDd4TZFmugh3nCAQCgUAgEAhEuaKcfvBXWTyOJi6tD6cmjUpnYOzNNPHRJ1anp98qla2Vf+x2h7+rXLyUO2HiAauV4TiOovC09NuDoA0DrFh5uSQhe2az2eEonQ4JV6Fp83Ut/pnGIyc069G9RrcuET26RvTsXuOJJ2K7P1Hn2CUuNIjq2up2skFB1DTNCAmg9p7IbVjLyovaL5uuBrAUTbk/UgIYIuFOj98x35/wnvkK4Qv9n//d4/xaNW3vTWzpVJ9JkmQYBv7rY6tzK6ZpGs/zZZR8z4nD4bBarWWx5VKRUwVBmPhWC8MAuqFXr2YeNXbP6TMZZVFhwzB4nq8REdiuTbXgQMxutzscDqcHBU3TqqoahoFj8vLF3d8c3+zxx2Lgoo+/vNRhTPVD6U0AAAGkvdAduPDquL9tNpvVaiVJEuY15TiO5/m77AENEUXRLSmlyWSCKTHhvwzDWCwWj29DaF2t63ph+RXvDiRJHjicDgC4lHnHkCNN0xrXts3bkAbzBI4cs+e72adLZY9/7z0DAICh4vDMDHuhQ3i4hyELhY2CSksXr507mZ2Z4cV0pVWrhoGBHvTrK1c9u7d//+PFcujbU358WhAIBAKBQCAQiKoJEqDLFx6tRSmKYqyl4NZ9+mx+1iOSLOmAZcMAQ0esryLDWiWpmN/S02ccxzBMluWQ4Dtkke07kksSBP3jT+eKva4bbtdP0cDeVONmRGh6VNjNyLDUiNAENkgIYpvGsQ1qWds0sgEAIqqZAAA/r726dP21tCwZAPD6oPhebUNPJfA5duXMFXflq13b0Gxeu3MvxqZ/zpfWIVRNLl68yvOeBaOePaIdjttdJiaTySlf+iJAG4ZRMBIZ+nKwLFumQcqGYTAM4/HWMJlMvoRve6S07IyTUxwxMdbBzzVYufwZAMCX005znFAWIbe6rguC4DzVbo9ZKO0ZhuFwOBrEW55+stbSn7t26lgDACDJ+qj3Uvt8GJ2rBvmyo+xsacCgrbv2JBXcy93HTT6Gsc8kSVosFpvNBgAQRVGSJI8G+qqq8jwPtXvfH62la9xhs9n27k8FAFho4vhlB4aBgd1CnUt7tQkFANR8oEYp7hEAMGvO6U8/3/xg5wWduy9+sPOCZwcsnz1398IfH/N9CzRNxJ38LnTbRNPqV7jN07NvebaXWb74Sb8qtu6vI36VvwsYhnHPGzmi0qDr+tixYz///HPnHFVVRVFEbQyBQCAQCATCC0iALkcUJpRgGDZrRtdS3JGq3hFERhDF+Q7PyVUOHrpUSjUq11AFonp9JDmFBwDgOJmVfUe/Ai+obrF+vsMwzI5dycVbtyCqp9j6FtGWUR2rTewVNrZz9be6h45oH9KoXkCyiREVo3fv2K7tqwMATlzijl/KlzXHf3Xi/sZBb79QHwBAElhU6G0B6KWno/ac9xA//tuhzNI6hKrJm+8UOsi9a+dIZ5QoQRCwT8tisVgsFmdiTC94GW8B3SHKKMiUZVlBEBwOh6qqVqvVNeCaZVloDFI8J5DSCsaMiWZ+X/3CgP4PBgcH9Xks1jDAK6/uLyP3aljngup2waujKIogCC8Pb1CtWn7ca3KK0Gd07tjR8T7qq4uWXB49do/rub1XccSCIDivuyRJFEWZzWYcx2VZxjBMUZQiz7au6yaTyZd2As3Ni9eiCka+m0ymad8eX785EQAgiBoGgGGAbLuadTtPrA4AuJEhd326TjH2WBgpqcL6jUnOf5NThGUrLvfusybCUxC0Rz6bEA2bCQaMoOyzoVsnSus+LHjLBAcHrFzmh649fUbphHiXLigIGlGKzJkzZ+XKlc5/Z8+e3a5du4MHD97DKiEQCAQCgUCUc5AAXY6ALp8eiY+P3bSu36OPRAEAzGa8rifvxWLjS8I6j+zafb0Uq1FuYdliGuBmZAiXLwuDhm4vuGjVmivFi787fcZDxrliI7t0eVhN2HsPhU3sUa1rHdKKK7Io4Coviw6e52OqW9/pGbbpmn46XaUpAgDw/ohaH4/MV1KaxrFTfrqk6/q895qPeLJmckb+R35suHnpAc9e4Tm8u9E5wnckSbp1y8NQCQBAo4ZBriKL2WyG0i2UKX3ZuMcIaCcwzrR0rScwDLPZbBzHwSah6zq0g2BZlmEYuEjTNFmWHQ4Hy7L+mi/DQNqS15Pn+WvXrsHpDz94LDyMBgCMGLm7jJI0iqJIEITNZnO6M3uJthYEYdaMDq5zZs65YKHx6KgirhSOY7KsZ2VLzw3ZDjAzy7I4QRc72LyEaJrmVNg1TaMoShAEDMMkSWIYBjbjIjfCcZzD4fAoVVMUZTKZYLuiaRp2eJjNZniSfa8nQRDwFJnNZnhpJBk7dSY78Ua+dUnbRjYAwKbD2e/+cAFu2fm0P3rZ8dTQ+r7vq3jcTPMQJ14QksTaZ69ym8k4ksxrXrmecMFtfkxM+KKfevhYgXL7dPc4yAyBKDbOR1ZKSsrx48d96eVFIBAIBAKBqLIgAbq8UOR3UUCA7b2JD/+ze/jOLcOW/Nx/7a99P/qgdVBQKcffmUx+NIlTZ6pENjmz2dTnP6NVv9A044tpxz0u2rEzqRiimMVi+eKrY/6u5eWa3sjJV6DbxNJjOwZzHIfj+KEkVdU0V5lPFEVRFN/oVv39h8PbNape94HIxcfl387KAIAOzQIPnskDALzz3VlJkoIDTJ1bVf/urfsIHOSYC22cZhJT1dIxRqiCXLiQWNii/73d0lWkgzKZv2PPvftsyLIsSRJ0RSg5NE3TNO3xox0qiW6WCxzHiaLorxlIqQjQhmFkZ2dfuHBB0zQMw35b/TwAgOfVsrMlEUXRbrdz/6EoipcoYI7jlizsUr36bTWcF/SkZH74sDgvu2jdKsQ5nZ0tHz2WbrWQbh7QpWtVURgwVabD4bBYLBiGQU9nq9Wq64bNZuN5HsMw37V+t7PEsqzNZjMMw2QyiaIILWXgIkmS/NWMHA6HyWS22WyaZjw/fOfzw3eOHLdXcRlOQjluv83HfXvGTd3efiz3mWH1abO3ZvPYo9E1Iko/y6UbH4ypgRsensMYAHUPT005d9htfr16NX+Y28XHjRfP+kaWpIwrW82p35tTvzelfJ99dWPmzWul2FtpGEZpefIgqjg0TRuGgZJbIhAIBAKBQPgOEqDLBbqu+/srtnr1kF49mm34c/CGP59Zvvjh31c9MfyF+JLUITaGHT/mvsU/dfddTrl23cE57kG6qrvP2xN61IsrHcUNcn+b8GI4A5Akqes+tRNX0VmWPX+9WyyEqAEAQN3qpocaBeIEyenmI9e5k8nit3sdmqbB4D6oRKuq6nA4oLnwW93DAAA5gg4AuJjIAwAwDAx6JPzwOe7zhRd3H8lcuPZq4xbVAqyeAzZb1qTl8xmDRv7hKitwDj4zOzs5PTMnNw8FR3tn2Qr34ETID3M6S9LtMGdnxKi/z5YiBUdN0+x2e8nTErIsW2RodkHJFaqHMLmij9ooSZJm37DZbNBmpDAURUlISFBV1WKhaZoAAEjS3dOzoDGFl6UBNnd5+qeFl4e9ULewVRo2uO0WvWt38n1NQ5zKLATHcZZlS0XB945hGPBpQxAE7GDAcVzXjVW/JuzakwIAsFgsfmn9br0UdrudpmmO46BhtFthtxPrpV1hGMYwjKapiqK8NNazE876TSnVA/PPmKTor317BgCMoYnuLfPP9p5T9un/i+jdK8Lj6jgOXh3Zfs3KgQ/3ivLhQIsJTeM91XVeCsSe+D7t+A63p0eTxnVXLe9ttRYdI1+MOHpJFNlbC6MtCfBfDAMR9PUoYxOd9kP6Dc9ducXAlzh6BKJIateunZqaevToUfSLBYFAIBAIBMJHyvyrEuELJbEmDAoKDAoKBAAMf7HD5m03kpKLowizLDl0cPycH85s3JKo66D3w7E4jv21oWiHDVmSAVOa4/HLJziOL1rQ7+Spq8tWnMnOlhJvOPLyivkRO3Z0k5lzTlssRPECZyw0IYhFC14eRedOHWqcPpPVuHHIvn9u6roR+l+wZM0Q05lUYd0pe1QgMbBVIE1hWZyy51JejqCfTdfa1bZ2q8/CQFRVVaHy+FiTgL9O5414Nnb+6kQAgGGApRvTKBIDANisJBFoHtUrBgAwbuFltzo80YBeuOQKnN556MzZDD0qADfCQmXgVCukAP7mNYGsZzO6NootiyRvFZ0bSR5stQEALEs6XEIvLRaLU0zEcdz3j2QfVV2O4xiGEUWxGBGFOI5brVY3rbMwKIoq+ISUZVmWZRgn6zExnSuGYfg49N6XYrIsP//SmmuJ3LDBdX748dKhfzNbtSjN3qki917YIovFcuWqB9ObhYsS5n/fJSCQJUl88ZLjf6zNj6AfN6bBt7NupwPdsClRENUXX6jvej5JkkxMtMfEsJIklalyB+90giBg89u1JwkAbMXKS7m5CgCg85IeiqIUeaGdwKbFsizHcVarled5OA2DqQu2WEVRcBy32WySJGmaZrVaZVlWFAXDMGdhmBERAJB4wz7xw8PdOoW53lJ1ajGtO0WmZcs5vFYrzFwzzLxwSzpcJCv62Bmndd3YfjQHAPBSd2tf40/qlqNNPBjTutG0f+rv2JXm3A5JYEsX9w4MtAEAJr3/8LAXUt94e1dysV7r3nlreBipF9Hao84vS5HyQu9/wvWZEB1dY8uGF+b9sHvJ8oTCVmzeLLgYVcpJ3h/g6dcEBkAMeYC/cYqzPRoYFOKhhJ/IslxG7u2IKgKGYS1atFi6dGmbNm1wHA8ICIA9qU899ZSPP1oyMjLuQsceAoFAIBAIRLkC/fq595TiV32D+kHFE6A5Tv34syMAgMxMEQAw5Pn4pGRu/4Gbt7KK+EBNTc0NCQnyXqbS0KRxzQ7ts+fOO11s9RkAQFsAAODAobRnnqpZjI4HgsQB8EPv6/1wbLu24THRLEkCSZJwvK7ZbH51ZJMBg7ZSVL6msONivg6YJ/2fvfMOj6LqwviZtrO7s5veSSchhN4lKE2aYgMEBEWxoSDN3hBQLIAgioAKn4p0RFRABZTeews9ISG9960zO+X7Y8Ky2Z1tKQg4v8fnMdy9c+fO7J3Zmfee+x4hr5rfd81cZb6prBy5bjydawqksNEd1AiCCIJgMBjaN6MwBDafr4ntGhHrj8YouJV/FlpYAUVgxkstV+4vnL4+8/ne/q/0C/hmV61PS7gfzmRULF9VIP4zIkz1ywUaADgBDw25GSuHgJBmIHhAzlfD+SN5o1uoI8JCvT1LdzelZRIyHAIgKmjWEluzZq9uMp5bLoiGCTzPe+WsKmaW81B9dt0fo9EohuiazWYXSwoa10RCEIRZ73Z85pUDKzbkhAQrv1t28afve96ysEoXVsgI4jRAODjYLzg4EADeeqO/v9/+5SuvjXkyzlZ9Ftmzt8Bs5l55Odkq9TIMo1TiYg7ARjoCCTQazcxZJ9LSq8PD1YIgvPR8wnfLLttW2LEzb+CAKM8nEkTE8QkA1mSDOp1OpVJJBt3zPC9+imHYJ3NPFZWY53/a/UxqWYe2PgRB4Di+ZkP63zvzfLQETfMAsHt/iXXbXj2CL+hg24lag/7MAvsrlOUEABiS4vu8dqvKXGotD9JdmtP2UmFK2/c2Nbt0uXr1Tw/GxITaxg5HRYVvWDsqLS3vo08OZWXfnHkaPjTm5OnyrGxPL6KXX2yxck2GyVT726FQoA+if3nySxJx/Y98zhLaY4RtIYoiE8b3GTGiw8ef7D1xqtxuEx8tvuirxzzsmC2RqjQXn6pxg8q4oaCqTVDsfS6qeYK45uzWeMvI3JUgCDJt2rRjx46lp6fzPF9VVSWWi6vEZGRkZGRkZGRkJJEF6H+ZxnUknDq5+849vzW8ndHP7OjUMXjJwl4mEzvulb0s6zRWV6ttkgRctyGn2IPbAAAgAElEQVQXL157eeK+hi+1nPfFBQCYP7cHQ3s9VcDzvF7vSgYiSVQUR8S/l//vfqPRIAiCxWIS5SOe51mWzS9gAYBmeDuT0Uojt/qERJJDCycoMb6ghg3ToKLpoV6vj/WB9wYE5VZxq09UZgLSpZX2kV6RYUHKb3/JRDR4jYlftrvCbKkdOeN7+83+4pJtzHenB+MzKjkAQKDO6PLl6Xyw6gLIujTjKKGoWbj0WvX/IDzPGwwSSmt4OMXz/K1/+zWZTAqFwvMIa41GYzKZvLrpWYNYJT/leV6v1xMEIYa4et5sQ7BYLPf3DNt9oKjf/WHrfs7CMOKWCdDOVDOKop58ZqfzzW5uPu7F3o883Hr4qM2SFY8cLeZY4dUpbcWxpNFoZnx0OKV7yCMPRdbDNchz0tKrAaCw0AgAH88+b/fpjyuuDBwQ5W0GOUEQTCaTVqvV6XS2dhzicFUqlXYh1aKpC03TD42In/fJmb+2Z5ZXsG1bUSqV6rnxe2mGB4CKSolZw8REnzPHq9325wVqi9JcWa1N8NXVWRoSrj+/vP/5a+NGxcVHOG6FIEhSUtTaVaNYlhOVUwxDcRzfsTN15ix7m2Zn/Lgifdffz2RmFpxLzf9xRfrEZ8Jx7qCH2zbL2Z4R2CImqb1deVCg38Ivh1gslhMn0w4fKTiXWpHQ3OeRh5t3aJ9QP2N0FHGzKghBoBl5oTS7Whs9uIHyMU3TTZQ+VOY/QsuWLc+dO7ds2bKff/7ZYDAUFhaWlpbGxcU1VoIEGRkZGRkZGZm7D1mA/pdp3JzsgYH+X87r9tpbxxvYjiBAVlbN2XOlHdoHPzgo+o+/nHpxaP4DArQgCAsX7d6wMauxGnz7jdYY2iSJa6zqMwB89nF3g0FCj9NqtR99sgMAysrMrmPXI7QIRaDXKjhegMwK/pFkUCqVCIqCIIjiFE3TMQGqaYNC5vxT0qpt4IzvLqMo9OroFxujyimz8AIMaK1ODlbM/ybtsxMFti0/0C9MVJ8BQE3UkSpQsxGAtClALuRWXM6v6tc56b8QsCbq+2JCNskKKIru3fm05Ia/7Uu7J4FybansCd46WjIM46H4W2+N2K2frJigj6IoQRCcSdWNCE3TpAIHAAuPAMBLr+z7cVnfWyN/S54KMajcdv7JDn8/X9t/hoUFTZ/W5aOPT0pWPn6y5Mlndn3/XZ+KSvO4CTsB4LdNWSMeT2i6AzQYDFMnt1m46IL4T0GAsU/Hr7jh1SPywst7vv+uj8Fg8Mq8CMMwUTe3jmqTyUQQhOgAYzcgEQQx0cyWy6YCPfj5KX7dkgsAL4xtyXGcvz9ZVOz0yjKD+1vT/CdIZWElAFQkDfc59Tki1PmmEIDE6+uZjn1R50MdxzG4aVUEPVKaA3gqQFsswtL/HZg4oW+LFtEjhqeUXr8IxySqCSB9JM3PfF3o82FwuEQyXoIgeqS07pHS2sOeuMDMqpS4+9tXsCI39/qe4Li+DfxF4Hm+6TKIyvwXUKlUU6dOnTJliiAI77777rx587755puBAwd6su1/4XlGRkZGRkZGRsYO+eH736QpUpfc063tjm2j58/pMeyx2FdeajVsSFx8nDa5pe/A/t6lMyqvoOfMP7vg63PnL1Q4q4NhiJ/vXR7rIQjCvC92NqL6DADt24XWTyVkGCY8zJXjtu0bTVioxNwAQagtFk4UcMxmvmOYvdjRzAftqTFnbrp0cd35HctSNy05m/7bxdZBKAAsPGT89Uzl5nNV1socx+n1er1e/86A4NMF7OQnIoHE91/Ss2a28Eh+weH8dcuvzfj8Uo3ePnDSNyHI+rePysZ/Q+AvGGzVZwgk2L1F6K4C+H7v1bs73XxVlW7p9/t6DVrZ+4FVvQatfOKZDfsPXBQj1u0O3EcKlUq14XCpsf5m8jepx3kWtTzXEYUURdVbwdTr9aKXgmsMBoPo9munKzXFq/49nYMAoFrHAIDJxKWlVzQ8K6MnOB4LjuO5eSaWdaqmJSZoHc1GBw1o36VzkGR9kRfH7337vaMu9tuIEASxdl2doOCVqzPt7mBaLbH5UKFGo/HcvVer1apUKsdjt1gs4lDked5qUyPy3QljgR4A4K1XW4klb7x/FMOwD97u6GJHLq4YkkA+HEauHF7WvvBnsSTqzMLSuEclK5ce+9XlAdWBoqiwMPcXhZU16zKNxtrfnaDYVgzh41jHxXccfGA215Qh8ABQaonxsGaUKi0vw1Px3RkNyb0hI2MFQRAxaar1D0+QBWgZGRkZGRmZ/yByBPS/SUPef/R6fVlZmXXFPYqikZGR4tI/Sq3ukZLcIyXZtj7Hcf/s/MmrXWg0xNSJbQWBH/PcHskK/fqE3/UBRDNnbdu5q7Bx26z3xIPFYvlwepeXJ+53VsGqg9zbI8wxuJ4giBkfHc/JvSkCckU1ALXuqDgKHVDjiqX2eaVomt+w6Fyb0W0FAFbARnbwZ1lWo9EgCMLzPIIgZla4WsIk+KMHL+oWTGylM1qu51cPeyiG4wSa4XbsK+C4OvJMSBB5vvimkKEmUWuHQnh9Pthq4kJJdW3NTB3sPZPWt1OS61N0J8Lz/OLv9v2yKce2sKDINO3jkwC1MaqdO/iPf6FDy6Rox80FQTh6Nn3OrxkoAgocsTTY0ad+41Ov1ysUCq1WazabHf0o1Gp1Q0KzMQzzfLGI6MihVqsNBoNo/tsUUxf+fiQA7D1U9vJLLZYuS5s567RGg8/9LEVJck0xsyhCEITjsaAoOv3DEzzv9BgH9JMYNgCwcMGjTz2zwXMf4aZAoVBwHGc02jubCwK0bu1XVFxkLRn2VPN1+yuPXNHPfbGFQqFwO5mhUCgYhhGHjTMLF6PRiGGYWFOlUm1Pq/09xRCY+ck5ACBwdPLLrQEgwF+55oe+W//OXLNBYj2Qi+EVE0LcW/azbQnOmUIyN5kVAUrGfnK3Wf4/ZnaY56nJvls8cMhwaSsVSfbuvzz4gU4AgCBIRbdXQg/N8XxbnKer9v3Pr98EzzfxFmVAWzDZ+5I7I4E6nVUQFh4hPbY9xGKxyHluZRqFWbNmzZgxgyRJ91VlZGRkZGRkZP6ryAL0v0a9PUN1Ol1ubq6dDMHzfE5OTmBgYFiYtFsuiqII4ipQy5FZM7oajQYEQYY9Fvfb5uuOFSa83NWbjt95HDiQ2ujqMwA0JPW5r69HrzcTx7e2swNGEESpVNqqzwBw7HDJgCcSq2hQE7B99eUVRfa5s/63pPfMT04UFBr9VUiFSbheznyyvVhyj2XppQsmteE5llKwnZL8hRaCxWJBEGT0sLiDx0r+t+pmdqlHh8Ueupm+C3IrGP8bViBVJt52jXk3rWlr1c0Zjn/yhD4d77bMUTqdYcyLWySNZW05dbZy3OQ9Hdv7fznnIWuhIAhHz15dsClLT/MAQJEoSaCWBpv6iPMK9RBtGYYR7Tjsbm4qlYphmIbIsiiKemVALDpyqFQqBEF0Ol299+sCX9/aONwf12VPnZy8cNFljhPefu/I/77t3RRO3EqlEsdxk8kkKbwqlZjR6PT89LxPwjkBABAEWb1ixKQpm86mSji/25F6vjwu1tPQYw/BcZwkyc/mnk49b5/IDgB27S7q2iXwxMlyAJgyNXnV/koAqDGw035M79xCO/TeUGcatFqtFpMrWCctxEyV4vi0rSlO2YojBMOwyyW14zaosETMfNC7Z3hEOCFWQBAkIT4QQEqAdn6t9GmJg9RPPSpIPwCUn90e2uVhp83VJSQk6OHBkX9uzfOw/m+/Z4oCNAAERiVW+yb5Vl91rObMiCOo9GRpcZ5/aKSHu/MWrW8ArVeSmESSVUmi4G+Gf6Ehs+Acx+E4fpf9psj8KygUCs8XZzQdgiDs3r07NzfX8SO1Wj1ixAjH0S4IQlFR0fnz54uKioKDg9u2bdusWTP5opCRkZGRkZFpCu7y8NXbmfrlHrx69WpOTo4zbai8vNzZRwiCdGgX4NW+wsPUFEXRDC6pPie39A0NdbWC+06Hpul3pnm3yLdLZ4/O8K+/Z9Y7TMYTWfDHZX0dJTAMw44eq6Mdh4YoLRbuu9mn1y84HcIzhTfUZ4UCXbeiv/j3uIn7CgqN7dv6t41UDmpBpsQQycFYoPrmm4m/CmmlsvBFlWZGeGXBeZZHROlHNI4Q0+L1Sglb9U0v6yZnKuu82JTpb+qS1003g9EiSXZrrv0N6nL6NbiLsFgsT4zd5FZ9tnLmXOVz438XpdiTZy8Nn/n3rJ8z9TdsfxW4dyqtM0QT6gY2olAoKIrSarUkSZrN5gZ2rH79MZlMTReMzFqYlgna2Cg1AHzzU+ak8UkmE2cwsG+8c7hxk5tRFEVRlNls1uv1kr8aFoulT2+J5HVWXDhooyi6+OshPVJC3HZjwVfnGj25FkmSz4/bI6k+i+AYAgAvjUtcdbjGWlihsxy9XI0giAtXFpPJZKs1i05Bkndda2S07a115+7aecdnn0q0Dl2FQvHRnNOSu3NxU+4UZh95bfRtntl1msIiPS8SnvWHV3M/77zV3/PKly5X2zZODniNQyXif11cbAH7P2u6awpBkDJFP8mPLlZ1dizEEK46V3p5lufIRhwyjQ7LshUVFTk5Oenp6WlpadnZ2eXl5U2axNWWI0eO/CbF1q1bHe8tDMP89ttvEyZMWLx48caNG7/99tuJEyeuWrVKvi5kZGRkZGRkmgI5AvrfoR7PdgzDpKenu63G87wzuWHmB72GjNjk+R55Hp55Ybedf4KV2R/39bypO5G3393mVf1ZM7vO+MgjwXrjb5nHT5TM/ax7PSxxLRZLXKz2epa0eNGubeD773RyDPkkSRLH8a8WpVpLEATMNFdcUis6nz17czE4w/Cjx+60/rNf3zBTcvSZMgBAa6esSPAloW8UYLRl4W8F52/U/Pb1NhwvWABIkrRVwHU6nUqlWrG459hJBwb0Dc2rG/lXTfMAgIIQDEbbTIUZFRZHJeRMMdeqhZNTcwcy54vdOgeDbNdczzZs+PXQmrMGR8eFSgPLCm6S9XlCAwVomqZFBdZoNDaW90W9+9N0vuEMw7w1uc17H5/28yWqqi0//FwbGIvjqN7A4w34HgiCEKVS0eXGdTy1GBmtVrn6KW/WLNTFpyiKzpvz8Lvv/3nAdmGCA2aaa9yTiSDIho0ZRpOr8X/kWNmgAREbz9pruDojB86Xkjjrp8lksgvt1+l0CoVCpVLp9Xqe55U4mFkAgPgYzeW0GgAoKTVTNzyiHZsNDiQXLbi/eXx0Tm7B1pNHJHeqNdqHJytrsg1GY3aHqVHnFqOC/YwCKnD5GRfCE9pKtuYIhmFbt4wY/OgvHta3BceJmkFz/ba9Lnl1Gf1bqCvT7Aoxjr5+dn9spz712J0nBAZHmvIpFWY/5lv7nZKsH0qkm/m+DQmCtuZ9rXcLMjJWBEHYvHnzwoULc3JyiouLxbu3Wq0OCQmJjo6eNGnSiBEjbk1PJk6cGBpa585PEITjOF+/fv3GjRuVSuWzzz4bHh5eVFT0ww8/bNy4sby8fMqUKW7T/8rIyMjIyMjIeIUcAf0vIEaGerWJ2Wz2RH0GgIoKpzkDQ0ICN657OMDf00WCTz2705n6POP9DiEhgR62cydisVhOnHIalyfJ7M/PeF45J1c/d/6Zejzc0zT94fSOa1f2635PCACEBKsGPxD947I+q3/qu25V/3ff6mg2269fJklSoVCcTS0nFTev9w/ebVtdfVMJ3r6jAKQYPDjSmBwtAERo0IldtQ+3UIWoUQAQAFBBWPhbAQB8+3ob8b9TadUYiqhUKtvhjSAIQRAMw5hMxkkvtqSaByWHkWO6+A1qqUkIUqgIRBAQf4xrSTIqizlUUatGtVaZdBYJRaDc1FTBd7eekpKKf3YXua/nwJdLroiRoY5czZcwuvWWBkY4WiwWs9ncuGLl7ek1zzD09Dc7CAKkdAlgWWHKpGQAKC42FRZWe2ssiyCIRqOhKEqhUIgp8vR6vU6nc/1doCj67rTjo5/eufG3TGd1Bg10v5gaQZC5sx+5v2+462rnUr27JbpGqVRu2pLlttp5Iyo5kj5Zk/HN5ut2KQRFRFtnx3IURe2GJYIgDMOIKS5NJtOE7n4ECgDQ47EE8Zx9ueSCGGeNIIhtmxiGbFz98LbNzyU0j0EQJCa62fbFj2hV9vdzDIWQ8pO2JTyCXe/6nprShGRuzmz1siD1DBZ6/kevLh8/P5/1qwd7UlOltE99pvX1ze85Q7IyWZMjWZ6QtophGmz04wQEQSrIgZ4fPYJAZVlDbbLkYE+ZRqG6unrkyJFDhw7du3dvZmamde7QaDRmZWXt379/5MiRDz30UGlp6S3oTMuWLTvUpXXr1naXv06n27JlC0mSH3/88eDBgzt27Pjggw9+++23fn5+hw8fzs/PvwX9lJGRkZGRkflPcTu+1d/1eOv+bDabMzLsU8M5w7WmGRER+uemp/ftfObvP0fu+WfMn78/TpJej4FmEaoHBkmsh72bOHNWwnUEAFzoYCaXoXyOnD1XXlTMKpVKb2OvGIYxGAxTJ7Vbt6r/57O7DH0sguPMojmswaC3G11iLKogCDk5lThR2/u2rf0+nn3ertm+ve3DJIc+HlMZW7u0//FWlMloCMbNjyVgE7tqEQANVisSXC80CYLAckLnFr4AgGGYuDo+M8dCKFR//lMy7vXjs764pFQqcX9FoV7o10LjT9At/LlHWylf7RPUKZJshpou0eSJakWyL/QLE7r6mPcV2p8TH0IYzx17+a/XDU1j6Xvr+XLx0XpvO6A1JVmeVeqpfaoLXKyiuONoOrsAABAEgcDZxXNT0jL0KAp6Q+2lN2feeZr24qImSVIMwjUYDHZamMlkEvMoSoJhWH6BmymH99+R9jRw5JOPBv+w1NW6ljnzzrhwvfAKgiAuXa52W63XfSHdk30kP8ovo89nmXaeqXScnKBpWnICwGKxiPdbjUaDoihFUWKySgzDTCaTRqMxmUwTU3wjtNi5MmHSu50AIDdPP/bl/WkZZrVa/dQLN90evp7XKza2jhUySZKbFw7pnKSxLXysu33nERA4jtPr9Rkxw3mlX37yM479VLC68kJp8dcZ0dHh3y3u4/aXZMyTCY6FYc1ispLGOJZjnLk8qq+ASNwKdEfWedU9rwgKDs223Od5fdToad5CZ9QjJkBGxg6e5wcMGLBx40bxn08//fSmTZtOnDhx8uTJzZs3jxs3TizfunVrv3796mfB1+iIVhtJSUktWtxcWRYUFNShQweapv/5559/sW8yMjIyMjIydyWyAH2r8fZVRxAEz9VnAPDz83NbhyAI0Zs1IMBPQ3kXqRcUSK5b9YRXm9yJ/LJR+p22cd9S359+7IWX9+/YVYIgXpvGijGSjpMZarVaNI1Vq9VarVYQBBzH9+4rWL8h22hke94bMnli0vmLVY4NtmheRyt5+eWkIpv1m4uO6zQajUaj4TASAHAUrulq7x6fr8t4b9nVyQsvTlhwYcKCC4dOFwHA/qMl85dcGPfa4b925gFAfqHx2cmH/k5nasz8mVxTnoHIqMYP51hm7ygVEHT3ZX3Oxdy2ITguWFAQaiwQpb15a0IAhpLZr+54K2zvOgDQHfLOGuX2hGXZg0frHwYVREiHCAb7eHc5O0MWoD1vn6bpBe+3/ejCvKTvZwMAw/AMw7/7wVGNRuN2cxGCIKxOxI5wHOeosVIUZabxv3e4if1847U2XsViJyfH/7N11IODmjmrQDdSqGh2jvmzudJ+yrZMe6/vm8+k3NdaWoMGgE2HShyDoMX0p46VxbBiiqL0er1CoWBZlmEYo9EoqtJiHLTBYHiivRYBOFIkPPdGRwWBCgJ88fX5MS/utbbTsoVPt64tHdtHEGTeG4NeGRpT+0+AZ6mt9nUEXuwbx3Emk4lVS7tva86tdHbIzmjXrvmW34ZFRzmdrkBRGPWEdN7g8LY9JW8ofoVHEQeTEAAIKTzQpApaeEybInOsh5UtLF9V3tCQUjkIWqaBfP/99ydOnMBx/NNPP62qqlq5cuVjjz3WpUuXzp07P/roo8uWLdPr9V988YVCoTh//vxXX33VdPZQHsKy7IEDBwBg5MiRtjdMBEH69esHADt37rxNhHIZGRkZGRmZuwbZA/pW423485Ur3kX3eBtOy3JeCDQaDf7LupF4Q/xN7xCyclz5rjYiDMP//EvGn39lf7+0Tz0soe1AUZSmaes7g1KpFIMB77knZOn3lwQBEhO0i5Zctd0EwxDRaGXFqow2yb5ioYJAUzFfu8a/PlajwhETKwAAAnChAkbfH7xudykAVBtqo7/H9ApY+kN63gDjXzvsF2/2TgkSLWYPXa+jtV0oMOtoflASWYFrI3E2j8YsrNA2CM/VMQDQ3tcyeM98svJm+kTVmT3wwMj6n6Pbg6rqBn3XBCF9DSY3UwM0QhB0wy0vGt0vuH4bNrUATVGUIAgcigKAUFA44aOEb7+/hiBQWclMee3A11/21Ov1OI6LV6K4OAAATCaTtQWlUuna5dlsNms0Grubw+mzZdeuVRQVm5xtJTL4gXbeHpFGQ02f9sALz5cMf+IPx09ff/PQl/O7NlCV0Gg0M2ftdFtt+vudtVoNALzzbPeDbzmNxTuboUsIrTM8RDXZ8aQBAEEQ4tm2tSoyGAwURRmNRr1er9VqzWbz0520K0/rzldAv3HtUzddyS+4eZ5JEv1u0WPOBiSCICMGd42P9Ptgaeqq/qkqfZljHRxurpVhAGcJLe6QkFCjz66sqdL6uJ9OtiUw0H/9mlFpabkTJu8ymep8RwSBrvjxQZVKeqYTw/HClk9GXFlrX86aTKoQlcneHBwBKD2/N6yDp8H19cAvdlBlzm/+CjfKcmZ+ZOSB/wEATQWV9p3cLDG53nuUnaBlGsK2bdsQBFm+fPmYMRLrCQCAoqjXX389KSnp0Ucf/fvvv1977bUmHW9//PHH1atXCwsLmzdv3rt375SUFD8/P9s9GgwGMS9iYmKi3bZxcXEAYDQaDQaDj4/9/J/FYrH9CRMR51Bv58UE1meS27mTbhGP4o4+BFvu6KMQv4u74BDgDh9Rd9NFcRccxV1wCCK37VFYB/y/3ZEGIQvQtxRvL0sxM5Ln9VHU3uHRLQThqdLUpVPggnmP/BfUZwDQ67ybJ5Dkl3UPjxj9pyc1DUb22Rd3//T9/TRNeztFYUVcVG7NQIhhmMViIQhCpzNculQJAJMnJtmpzwBgtfk2mbnzF25GRveQWgMtqs8AIP4vF60Te9izjXbp8gwAcFSfAWBg//DV5yUOrdrMA4DGX2Ph6XQj0toP9pZCGwoDgEfDTB3XvGc3oFFTQ2X624H0dOnY1VnTOrMsP2uuGz9xSeccBMBXjToPpfWChgvQt4mU03S/0BiG2WrHUVvW5D76VMzMKXMmT3x/CyYI4O9PfrvswnPPJBAEodfrEQSxXtoEQVgT6GEY5ujbbocY0isKZDiOcxyXla3btCXX9VYIAvV2zIgID4mP02ZetxdGq2sY0S2kfs0CgEajGf20e/V5zJPxDwxqL/6Nouj88clvfndZsmZpFZ0QWkdX1Wg0BoNBUoN2TNAqYjAYxMo6nY6iKLXZPCnFb/GRqlITRD7Q8qlg7uuvLpppDgA2rh6icW6KItK5XeKWr2Jh/e+Sn4ZdXWeMe0KUfkwmU07HV+OPf+xYzXJ6I/R50fWOJGnRImrHtmcqKmpOnEw/f6EyNESdnBzUqWOi699un6Tu4CBAA4DSQX0WCU/7hW9/f9Nd5giCqKKHFWdtC1U6dSMpPlQTmVsbKk4ayiL/nKkLTVY9MaN+Czis2VNlZOpBampqWFjY4MFu3Nh79eqVkJBw5cqVpn57tBpoXL58+fLly2vWrBkyZMjw4cOt16zRaOR5HkEQx2FvXVZSU1PjKEDv379/7ty5doUBAQEAUF1dLenLf1thNpvd/ube5hgMBtfz1ncEDMNUVlb+272oP+IlfBccAgBUV7u3RLudEQShqkpiae+dgvWLcPaMegdRU1Pzb3ehEbid7040TYMsQMt4hbfLPLOzs72q36yZ06XTznhjSrv3ZpxwW+3jmZ373d/B28bvXEJCVNU1DdKgP/u4W7Nmoe+82XbufHu3ZUlomh/99E5/f/Kbr3saDIZ63Fl4nmcYBkVRcdJC1IlIkpz+4encPMOrk5O/WiSt4EgSTkGhu+db2+h5FIG/N7vyLd12zalHNooArVD70DVpgia8prJLJJVWUPnWleXULnu5HAAQ4Tadk/QKg1H6/WffwcKxTyYmNvfJytFbLPyQh2Ny8wynztrHUaaeqwSwl35aRanFuCQEQTAMExWuu4N661wcx2EY1hTriO0ilzEfbe1fi5a88t7sxasLP3ivo0KhYFlOnK+xvaItFosoRluvVtfQNK3RaARBOH6y9KuvUwMCyIoK91ng5s+5x8tjqsOsmd3HPLvDsdxiadAF6ParVCjQn9c8HBoabFuYnBjz8kOVS/+SSNoZoL3pMSIK9IIgqNVq0aRIzC7oVcesYvSr9/l9dbCKE2B3CdbmyXYPxMKJ/UXh4dKmGXYQBMEgOCJIXINKfb7t5Uk7eSoIKT2aezQw7J4h9Rj8KIoGBfk9+EDXBx/wdBOliuJQHOPtO4wA8IChYH8FYbyl9PimoHuGets3z0EQxC9ucEbu9Xjsb7tzUGPxJX/b7O/wW6Atvix8Pbps1IKg8EjwHjkIWqbe5OXlNWvWzN/f33U1MdlsRkZG0709pqSkDBs2LDY2VlSWCwoK1q1bd/To0VWrVsXFxXXp0kWsJt6CFAqF45i3TuFIvrPQNO2Y7VycUhUE4fZ/K779e+iWu+AQRO6CA7kLDgHuiqO4Cw4B7oqjuAsOQeS2PZDbNjTbK2QB+pbi1WiuxxS9Y6iCW+67rzWKnuR5px1rHq9d9OUgPz97Q4a7m/btAtOv1bHLD+UAACAASURBVH8S75XxyX16twWAxx7tZjRxi5Zc8nDDykp69NM7m8f7vD61PUmykgOGoiiTySR5A6JpWqvVWmdQcRwvLTUaTezYp+O/WnT5u8W9tFpi3oJzZ89JLAy3o0co/Jrppo7K5v7RK0751zVXlSvNEseCAPSPQpb+kP7FtmvDHghv3zV0Xw015NrejpHNMQfvWsY/NK3nM81PbnLb+dsfZzF6u/YV7NpXMO3NDukZ1Rt+v77tn1wLK3He4pprDpy0nx8Y0ytUSSAAwDCMmG9NnJOoR/ca/vMmRuw2sBER2yFdD8SQ4UbpiQtMZjMeH4P4aAFBon9coNQ+NWHSoZnTO+p05lbJ9uk9rXh4ntVqzfJNWf/8WnuBeaI+D+wfkZLSxsPOSxIbG4miEq73b717ZM6nnesxvUEQBEEQW7e5mVVdv/qR0NAgx3LcySXD8mCNdBYEQalUfrY2A0GQ90bHi8PGQw3aYDCQJClGFhgMBq1Wq9frX7vPb/MlQ2aFBQC2Z4F/UrjbdqxYFFqSlgigKAtNURCEuCPXROX+xedtNz38FalsnNyPrikPSwkpOOBYXtTqyYhLqxzLw67/qWs7SNXEAY+RUXEGywt84e8+RK3mlVUWG7HzR2f1EYDg9a+XjZwX2CzG233JQdAy9UahUAiCwHGcdXWLJDzP8zyvUCiaqBtWB2crkZGRr7/++tq1a3/55ZfZs2evWbNGHOSi7iy55M762y35oOLv79+unb25E0VRJSUlOI67Pvx/EfHMw40Z+n+7O/VEHGMoijZ8mdq/iPj8cEd/EQDAcZyYZeff7kj9sT7IWQ3i7kTES/uO/iLEsQR3+BcBACzL3umHIHI7353u6KFu5W44hjsFb60VCgvdJJiyIzo62qv6IhiGbVjz8PDREnaf4WGq+XN6x8V5HVV9F/D0Ux02/na9HhsiCHzzdZ/27ZtbS0Y/keLnq/z4M/cZt6xkZNZMnHpgzFMtBvWPYBjGqlLhOM5y2P6DRX16RXAcZ5u4jKIo8Y5va+mF40R+fsV9KSErVmW+/06beQvO9OkdaTRa+t8fuWdfvmi+0SrZ99LlOmuvcAwZNjS6rNDwUqfQM0W0wPMni6T1uyCytmNKAvnLZT607l0Cqh3UyFg/tOhM4Tfba7XF37YXxnUMG5m+UVOeW9X+PjqmlTLrAgCYgyIz2g/ew8YqMWFo4SFzi06enMPbnLatowGc+mx8Ov+s+MewR+P69gp/acpBuwr+vop+LQUEARQBFEUwBFAUVZOYrVBrNpvVajVJkvVQb81mcwMVZIIgGmWVa8PbaaJnCLvXP5ZlQxbNNV1NZ1Mv6c6cnz3cMONSs49/yBgzOLyBQjxBENMXXyytpF9+MXHp9+mebNL//vCZ0z2OfXUCiqKtkv0uOCQsLS4xKZVKb104EATZ+FvOn1vdqM8p9wSFhUmozwBQXOFk0cC5yu7JfmLCVY4XJiysne2rMVoQbyRFcTU6RVHiAhSdTqdWq2mafjCBOFGAHM9jAKDSJJSWlQcHBXrSYG7S2ITUrxzLddF94cbTOYIgCsLVYxgqcMq/3jQ+MFdFeZrTst7g7R4FKQE64tIqHsFQqWyE+gs7VN0ea+qOEQQB0SMrDHqm4qw5LTsi1an6bCVow1vVY7/xCZAeSy6Qg6Bl6kdycnJ6enpmZmaLFi1cVCssLCwpKUlISLiVwwzDsFGjRm3evJlhmIKCgvj4eABQq9UIgvA8L3q12da3/uZqtVrH1lJSUlJSUuwKs7OzH3/8ca1W60ki9H8Fk8kkLlpSqVS3v0+IMziOq6yspCiKJMl/uy/1p6ysDAAIgqhH1NTtQ01NjSAIvr53aniWIAjV1dWiBu3j43Pbym1uMRqNZrPZx8fnzp2VMRgMYpyERqPxKnP47UZZWZlWq70LFNLb+e4kDpU7d7SL3Nm9v7PwNgrP6I2ZK4Zhkk+KnhAREbJz+5ODBkSIz8MUhY98PPZ/3/bfuH70f1N9BoDg4ICxTyc4+xRB4JkxzR3LR42I3fX3GFv1WWTQwPYR4V6HsK1ekzb1jSPfLkvXaDQqlQrFlAsWXho3ft93yy6OGrNj+Yo066+UKJrobyAWMgxDEHjnzs2GDY1bs+L+dm3DP/6w270pAe+93XbUyKiVP/b96fu+4rGEhigVChQAtBp87NPxKjW+YWP2iOG927VuObZf+94tnKotvjcWmI/q6UaRuadrsF1J3zBhx/q081drtdH4KDUAJFWlB57ZochNo/U6C89n9Xtuca9PZ0RNqCb9X7yw5Pl9H1bdP6ry/iedLVq/g/DxcWMjK7JuY4aj+gwAf2wv2Lgm45fVGT+vyli34trqn66t/DHNMZzWaDSaTCbrY6XdG6+LXy+CIBoim2IYVr/Ia0cUCkW9XdHVarX4jt0oPbHD8fwQlBopKQt4drT/yiX0kv+99ngIAESFkQ0PJycVKAD8ddJTk75Xp6Q0ylG/81ZXyfJ3px31yl1ardZQFLV3n4Q1vC0IAjOnO81rl1ko/YOYVWzadrysUkcjCLJ6581psOnLr6lUKp7nPf/lNZvNDMNYtQnRepthmO5RZJC69mLZcCTLw9ZiWrSWLA9J32CNyEZRNDr1G9ftYDyN7/rkFqy5U1FOHyEk1WcACLm+7ZatUqQojX/UfUHp+zysr105qR4nrbFuXDL/NTp16lRVVfXGG29YLBbJi0IQBJZl33nnncLCwjZt2tzit0eCIEJDQ8HGoJOiKLEPRUX21kYlJbXO7/V+rZCRkZGRkZGRkeSOn6O4U2jqNeBJSUkN2VytUs384MEZ0wQx/EeOAAKAl8f1DgwgFyy8aFf+5Kj4cS/cS5KK58b2OJeanZdbhhN4+3ZRERFBhJNYNhRF164a8cqkzZeueJfnoaKCrqgoHf30TgQBuzeanbvzevYMjwjDcByXVOgIgqBpWnyddnypNhqNWq122Te9x0/az/NCWKiy//3h63/JWrGq1nfj+vXcuLgoQRC+2C+dhAoATEztqF6zIUuiAxg6eVzz/CLzz5ty00wYwE0tYEAkfPN9hm3lzFwjAPif+qfk3mGL6c4T/QJm13SM80eHmw+FpG5Hz7CMT+D1aesQBQkAmVWG5JCmWsF6a1AoiB73BB8+VuqsQvM4bWGxqVVLv5OnJfxSzl20H0gvPd1CMikNy7JqtVqczaIoCm7YIguCgKKos/uSt3cApVJpvW9gGMbzfKNkyBFnVuq3LY7jNE033Y3XsWWDweDzYP+aLdsZkwkAtF/MJRKeP3PVGB/tUcCsJCqV6viF6rxiEwBU69lRI2PXS11rtkRHUQEBbnxIPSQ+LkqyPDtH79Xs9fXr1R986D7TwG8bhvj4SMf5Wlg224SN7R+0YqfE5bDlSMmWI/a3KYYVxJWAhGd+F7U7slisEdPi3wRBmEympzpojucYjuRx50tYo8mk9kB/xzCMVviRjH0IuabyqjKxNoQcRVGcdp85R0WXFR37JSjlCQ+Pon5UV5Q5OyoeJVBe4lcGEyw0QyvIW2dboQ9tGZB11JOaqMAX7tsY1nekV+3ftq5/Mrc5L7zwwtKlS//888/u3btPmjRpyJAhtn7QNTU1W7duXbhw4dGjRwFgwoQJt/gxm2EYUWi2BmwqFIoWLVqkpqZu27btpZdestYUBOHgwYMA0KVLlzs6Fk9GRkZGRkbmNkQWoG8R9Q7i84SWLVs2yrOsLD3bMfzx7kMe63r69OWCAoOfvyLAX9O6dXMMq1VeSFLRrWtit66JnjSlUBD/W/r4tWs5H8w8nJvnRWy7iORL8cyPTqxb1Z9hGEd9WaPRuM1kqNPptFrND8v6LFpybszouNffPmX76fBRW/bvfs7i0un1QoYeAKY+FkagwHECxwPH8RZW8PdVLFuXVVRCZ2Xqmz/QZggH2zemhwaRE8bGnS8VMBC++V4iuyAArE169mKZAAB5BWWzM+Yr9LUOqoboVsUvzkasEUMqqryiMrCRVLZ/ixfHtj98bKdjefM4zQdvd0pLr24e7/PFolTHClPGJy5ZXscfBseRHt2CnWm1RqNRNMllWdZsNouCWgM7L1q+WJer1y9tplsaEvWpUCi8WkTiFQiCOGqagiAwDKN9ZBB2/rIBgLue3XdUQEW1OS1LF+6lBI2iqFqtPnul+rtfztmeg7/P6YKDyNIyV3Lqd0sGe7cz5yAI8urkVl8tkrCwf+3NQwvmdffQHSU3z/0swrzZ3UNDnZ6mC2nZLA+bLpgf7RW89WAp69m4+P1gyaMpgd66hdiOOrPZrFQqLRaL0WjsHqs9klcFANuOpT3ep70n7VR1fz10/wzHjwJz/jEG3Scufs/q8jYAEndyjuvWwvJ25GW0CWsuHVXdKKBF9rOtVnI6vxpzYp7kwwFtMjS6AM2ybHV1FY4TWq3WGihqNBqNuhpG41ESSJGwsxuZe4d467fLsuxdsIBU5hbTtWvXlStXvvzyy6dPn37++eeff/75sLCwVq1aoSh65cqVvLw8sRpJkvPnz+/Zs+et7BvLsmvXrrVYLCRJhoWFiYUIgrz44otTp049cODA8OHDAwICxHKz2Xzq1CkURR9//PFb2UkZGRkZGRmZ/wLyQ/atoH7SDIqinugvCQkJd65z0+0PjmPdujUol5cVBEESE2N+XhtjMpkHP7KOZhphSfXqtWlPP5XkKEC7yEWuVCqt+coZhpk7L9Vstojqc+9eoSdPlbdr43/hYqVOzz797IbP5/eXOBAAioAOftz+4zVVZ8o+OlNn/Wa/B6MOn6oAAAWB/L4lZ/JDneIT/dkdhflF5g/mXnZ9OHk64Y24oqjNiyoTp1a+PDf0i5cAwBDTunicvTpTwnD1Dyu9PRA9uB0pLDL9vDFz+648Zxv+8U+dE06p8W/npbg2etbr9dZUfg2cDMMwTKVSiaKeNflbU2AN3K4HCII06QJnMdmd1bLNbDaLeYEYhqFpGkuIjdm7JfehUd2Wzlhwz2upadc+f62lh1n7FAoFx2Nfrk7Pypc4dpYTgpr7d+qtSoxWB/sS6ek1x46VlpbRVVUMABAEsnbVYD+/xrQte3xYN0kBurTMfOBg8T3d/D35kbrv3rCl37tKxIqi0KNHKxcViipqz8a+NBMVoukciuw+VzvgfdVYtVE6zn3nmfJhPUO9HaUsy1onVwRBsLqQGwyGtmHk+SJ6R4a5c/OC2KgIt00FhISzmBLn7GV6v6JjFeE9QaFlWdZAM2qV8lLii3E5v6vochetRZ7+Uh/xtVLVZO6lJomUiSKxJ+Y5+4gzGwAa7WZsMhqwVW+QxgqrebNJE1Jx7wthuxZQLO3Ct0gABAH7OyoCYNz8JTH8ba9m1mUBWqZ+PPnkk7Gxsc8++2xmZiYAFBUV2blbREVFLV++vHfv3k3Xh9LS0rNnz3bo0MHf3x/HcZ7nCwoKfvrpp1OnTgHA9OnTbd2TYmJiOnfufPLkyU8++eSNN96IiIgoLi6eP39+RkZGXFxc8+YSRnMyMjIyMjIyMg1Bfsi+FdRP8fHx8amqcrM4t2XLlrL6fMehUin/2DRyyqtbr6TVNLApfz+suMRIqevkixPzcUnWR1EUwzCrHEMQxJuvJf+wPD0r26Ch8IOHSkaNiDl5puLN11vPnX8hK9sw//NDmnubmzkAgFA1RKCWyuyq9euv87zwj5Mu5RfVRte+9VLCN0uvAkBYmEd2sQoC+ejENAAQAMgze2ifYAAwh8YWv/iZRG3K907PFmWmpW8LRhPnQn0GAMZS58s1GNlnJh5Y/nUP13JtwyOUSZLEcZxhGOv4sVgsOI57KK3eSiQjlBsX0XZfEASj0UgQhOhqAgAEQeA4rtfro/5Ym33/kLexwx+au3uYtQ/H8dV/FRxNrXBRp6icKSpnDp+zerAQEER07aIe0MX/oQe7NvoVIQgCQSAWi8TgWfbD5R4pfXnefTS927mAJ0bEue75icw6Y/tUsTB2UOjancUWDpypzwAgCGA0mTEUUalULqL+VSoViqIoiorfoDh4tFqtmM7b6rUiCELf5qrzRTQAzPkn98372YQ4V4l/lUolz/N5rcdGpC51/DT+zPyCxCf0Ps05jsPNldEl+/LbTdDk7g8r2u+iTerPKabHligUTZJ+SlA6nbqgqQjSUCD5kUVXDmH1SYDsiMloUC19zm4cqPQlzf6e7XZbR/VZxD/vVNnmRQGPTfbq0uB5/k5P8CJz68EwrGfPnufPn9++ffu2bdsqKirENGU+Pj4BAQEDBgx46KGHNJqmzSZqMBgWLVrkWB4QEDB06NC2bdvaFopB0Eaj8dKlSxMmTLCWJyYmvv766x6mb5WRkZGRkZGR8RxZgL4V1G8hebNmzVwI0EqlMi4uTn5HukPRaKgfvx9RWFgyeerOgqJ6+iE88lDkmvXXV6+7PmNalxaJWp7neZ5XKBQ6nQ5FUY1GI6pjVl2MJEmO42yNGoqKmGkzj4uhuOFhKl8/Ys36rL69QmfOOjd2TPMVqzOOnyiDE2X9+4fv3VvEsh4pmCXltcLfjI/OdukcBABKwSOB8v3RAdeDp3PxrUFJkaZqllBe+3ATigAg0oOcZdk72qAwIqyeubNpWkJxwzDMumZCjNy0q9BAAVo0IuA4zlZupmmaoijXAjSKogiC1MOLuSFTayRJNnUyMUEQ9Hq9eKptxW7xSMWo24jV3xWMGf/l1nGMxc1PgEajQRAkPVvnWn12xpUs47Vc00MP1mNTNzw2bJ2k+izyx19ZDwwMddsIwzAREeqCAukJkqhIatIrfV23YGTs+7DpnCE23icQ40uqLJlFTicblmzJf+uJ5iaTyVlAvTg4beVpMcYfbmSathWMLLQ50hfLq+YAYP7uwim9uFaJcS66jaJoaMuu7MUVjkHQPIIF5OzStY4HADPhW9JyNGexGKJ7Z0T3VpRfsQQlxx3/FHFI/YcA4H+9wz+2oCl++oXgJLgi/ZHJN9aZAM2ZXa298Ar297lNMaMYdP1g5Uaz7/C3PNegRbOCJuiLzN2PWq0eNmzY0KFD7cpvzXx5dHT0F198cfjw4dOnT+fn5yMI0rZt24EDB3bu3BnHccc+REREfPbZZ6mpqb/++uuFCxdatGjx+OOPd+nSRX65kJGRkZGRkWkKZAG6yWlIeGCrVq0uX75spxyhKBofHy+/Hd0+cBxXXFws5nYLCwvz/ME9PDzkl59Hb/jl6MLFrtanS9K3T+jW7fni0Jj16Umx8NNZXaOjaoVIUWgmCIJhGI1GQ9O0XQwmQRALFp6wGkEEBStz8wyRker8QmNkM/XW7TeDcHfuLPSwVwSBmMw8ADw9NHLZ0qt9B0SxABW4i5XTtXzRrzJs2ZcAIOC4qe/D7CNPcgFaKM6BiFhnm/B3eLYorbaeS+nv7xlC05wAAAIIAAiAIMC2ndkD+0bCDfcJ0V+FZVnr7FdD3n4VCgWO45KGvzzPO5P2NBqN2AFBEMQQVM9laJUHSd5cYBu42kSIJ9aZrK/X6zUajQFBYvZuMV+8Mms3N+3FeMkuiTNDr849ZzQ3qMMsJ5xNvdqxfcuGNGLHyVNXKqtc6fi//n59+LDmboO7BUGY/l6XCZMlYnsfGNhs+rRBbgenUiFRoUTHJydRvv5cuyTtiSwaALrFkr/vq5OlMLOI5nnB9sxjGCYmqBT/qVKp7EavnR5tNBoVCoU4n8FxXPswMq+6tv7X+0v65tWM7NPORf9JUlkzeB72xxS7EF1E4AravRRQckYX1jXg+raKmIGiPETTNBqQAACMKoQ0Stx4Fay+7OBPfr2ed7bHeqPydeqkYfKN8ys4LPkRGRDZKHvnWNanxIn+3WD8804WHNwS3vMxD+uLHlZ39AobmX+Xf2vwoCiamJiYmJg4duxYzzfp0KFDhw4dmrRjMjIyMjIyMjIgC9C3gIYI0AiCtGrVShRxLBYLQRDeptORaVKqq6utuWVEKisrURT1PC0kgiBPjEwZMfyeCxeuj5+018P9tmvrv/9AiZ2JMIoiC746ZzBwLRJ933unk2hKKwJSPjAkSZaU1kqKw4dFZ2Xp87zPjmhHWKiqjAEA2LOrAAD8m/lWCWw15l5p5dp3Ef76CQFAWFaZlc5dOIHo9ZaHnyT1lRalhsclIp3xO9x8RqVStmrpe+lKtfuqNrz8XItvvpWYrli/eoD4hyAIBoNBqVSSJEkQhDXg3WAw1MOyWa1Wi+PH2YYmk0mj0TgKvnamExaLhaIog8FAkqRCoWBZ1qrxibsQrxdx4sTaz3p7TDf1yz+CIG4jrA0GA0VRRqOR8PVpG2+/ykGj0RSVmQ+dLT9xobKi2r6p8GCFFoO8QhONYZzH62dmfnt1y3eNKUDP+PC42zrOrMzr1uF8faVXc3doH+jJl6XEpesMah/w496Sa9dr1eTdV81P3R+0ZncdDXriostLpiQbDQYMw3ie37Gr+M+t2d8uuk8cgW4D7XmetwbUC4IQH1jnXrQn03wy7/jMoW00GqfTbD5+/gU9Z4Qc+Mi2EAGIPvN1dqfXLAxTE94dUMy38GhNWDeFQkFbLGAulVSfRYKKDxcVPxgUGu66527JyUwLvbKWYHQcpiqKfyw0sT1D+Cgs9sZQAoJZVAHOGiF9gxvYDZHy/OvuY+kbQMTJNVVte/v6+XlYXxagZWRkZGRkZGRkZBoXeY1V09Jw31UAwHFcoVBQFCWrz7cPgiBcvXrVTn0W4Xn+0qVLXn31KIq2a9f84N7nOnVwn80pLESZer7SUfeZ8FJieQVjprnUCxWjn9455tk9efk1AGBr+mwLx9dp4eTp+qz9t8PXVwEAMZGq9Gs6BIFSdYCaZzgEUxBu3uSv5Fn0q/awQaEAwEfFIScPadd+iyAIrfbhJfNBCcJd4H4+/Z3uXtUP8Ff075voH07d+E8TECH+RwGATqfT6XR6vZ7neaPRqNPpbO1WrG7FXu0RRVG9Xu9aBZb0S3XM4iUqywzD6HQ6mqY1Gg1FURRFibH5YucNBoNooCxuYrFY6uGYadtCE0EQhNsIa/GEKxQKPjhw1MMJ1phuBEE0Gs1rn5+bseTS34eKHdXnEH+ivNBwKV1Xo2fHD4/yvFeNktf0Zms0XVXtPnvBmGd3eTKonN0PCwsNkuV2pOZLy/0ogpjZOkf95yVzRF2NGBH/QxCSJAVB6N0zokN7f+vdg2EYt2tWbDvPMnSMX52xrWOAdjcbERGbaFbaC7U4q487OQcADIhanbVXVZoaf/wTBEBBEAqfYFod5qJB6vQP9X664Hm+MPc6snF8/KnPKUOewlKtMhfFXVqq3vxKcUg3x0YRgYs+LeEqK9JY92HW6NFIaAiqDe96XrmpPXxkZGRkZGRkZGRk/mvIAnTTUj/3Z5nbHEEQLl265Dq2/erVq942i6Lo4q+HHNz73OKv7o2IqGNBQCrQhOZaAIiKVBeXSjgh9OsbtuS7NNuSIY9Evf3eCZquY/psBcfx0tLaqMw+vUITE7QOFZCIcFVEuMrzILDQEBUAEDjS+57ANSv6+foQKAgqjgGAAD83cyfLN+QAoTAv+b1q/ir6sSfx0zeWe6MYgEQPBHNDg7VvByKbhXXt5H7KQcTXh9iw8nFBEAxG7sZ/rN4g/scBAEVRKIqq1WrqBhqNRqPRqNVqBEEQBMEwzHbQWuOOXeDJAg6j0YhhmCgoiyUkSUrmfNPr9aJqxvO8Xq83GAwGg8FOybXdI8MwYoS12z7YtaBSqZpuuk6tVjvK65LwPM+yrFiZ4zgzq+BBuXxz0fhZpw2mOkeNINCjg+/zj4T3autTkKM3mmp/OL5blelD3dzX7FfbLJvZadnMTmMelk771ojKe2FhmftKAADgiR+Us5GWlu7dCgA7KvSWrnH29y47YXb66AgAUKvVgiBgGMZywoGDJTzPY7iKIFQsy6rVbpZo2A5RHMeTgh2HlnstuDh5jOM2RmWwCmiGYUgCKW73kj6wTeyJ2WJreW3GZXV6I73ze5JNa/VZ+mqvpwxZlq3etVjx60tRRz/FpKz5o4p2Zcc87FWbGNE4FxrL1idXs1eQhorqSi9OWqMEEMjIyMjIyMjIyMjIiMgCdNPi6Hsgcxdw5Yp7q0qO4+r37aMo2qlTy43rn9yzY8wv6x5ev/rBvzYP37PzuZXLRz76UGR1tUXypfj0mTrv1QgCh4+VAsCzL+6mKAn9DsfxJd9eaNvGDwASE7R79xc/+nCkUomRJKpQoO3a+j3yUGRBoamg0PTAwAhPuv3d4l6fz+467d0ucVHqa1lGo4l55+22nQk9iSFdCZ3bdfoCAGc2AADp6yuExlhiEyvHTOSqy53VV3NO047dWcz79MHwMPe55nt0C9qyYRRJKiSdrxEEkMxLot2K0Wg03AAA9Hq90Wgkb4BhGIZhooQqKtQudkqSpIcOQmazWa/XoyhKUZRSqURRtFEsmAVBUCgU9ZjGEzXxhncARVGtVmsnNyMIIul57QyO4/R6PYbhp88UvvlFamp6tXXtQUiA4on+IQmhhKWG3n+gZNnarN2HS223pRl+cI9AjQq7t70vAHy67PKV67oj58pX/5kjuS+9vtEmZgTB09M+c9YJt4p8qdS0GQDEx/l41626XC+lW4WjANCm2U0Z1O4KMVpQcQLGZDIplcoAfwUAPDV29/Pj9jz74p5zqTXip852geO47VhiWbZE73hjdz9NF53Uzq5j2Z3eLGz1XPTZhRqNBjOUAoDRvwWAIKZdpfIOm3jcaDJf7/qeZIPc6Z/d7tQWnueFbdMDK866rhab91d29EMetsliKvGrr64oKz32W+mBVSVHN1aVl4ifei7g8jwfs3Oeh5U9ahCTjspX/P6x571qah95GRkZGRkZGRkZmf8UsgAtI+MdBQUFHipipaWl7is5hyTJZs1Co6Mj/P19xZLXX7tfkAq163lviF2usJHDY0tKzAAgCPDLrxmOm+A4fi2jnh2KoQAAIABJREFU5vyFKgDYsavw/IWqLX/mmc0cTfMp9wSHhqq63IjMDQp0H974yvjWJMkjCFJRSceHkwN6R1JqxWeL09JNqA5VXGOVGgrXUNjMV5NCg8jWLWojFsNDSNu179fPpAMAYAQgyPmXPjmcNPBYKZTl5EruMTzAUyvP2xwMw35eMXLIQ04TeSkU6MK598395CHRKMBRPenY1nddm90+y+cwBoNSqdRqtdaITqusZjabrRqxNeuaTqczm83OpDeNRiMG8Hp+LKKDs5iN0/OtXCNGUiuV7jV6OxreB4qiSJI0Go2217tKpZJcUuAMlUrFMAyGYYVFhr27C8YNayaWJ8dRA7v4FWTr1vyee+WadNjyj/NTls3pvnV3EaXGDp2rBgC9kVuwMn35pmxnu/PcMNotVdWezvGkpVczjJuzffK09M0wKKhB2XSTI1RaSg0AF2w8OsL864iPgZramWAEQURnfNtPl35/SUzT6tg4iqKiv7ltXDnHcb4qB7Xdg3UiBEEISJ2zRBiKUBRFBL758Y+zwvqjpgpSl4sKHMbUgL7EGHWvWpelUqlYXrrxoPLTDC0t60tSnn5KZfboJykmf2tu5ABPalYEdWBZ1rDji8Bd74bnbA0v2heRuz1o9/voxvHcpjeIjePQX14ybf+sNP2063aKDv/lye48B+WkZ3/V1fllezd42EhDEnjIyMjIyMjIyMjIyNghC9BNiPz2cvchCEJlZaWHlaurG7S63BGFgvj15+GOWgdJ2l/I/+zIt/79++brjvKKxcIDQFAQOfqJ2Kxsg15/c6weP1m2Y2fhtJm1gXKuw8VCQlRrVvTr1MFHqVTuOFD6/udnj5yvqa6xoCg647V2TE752m9PrV9y7HquUW/gPvrqanEZfTFNJ25bWELbKvlf/u8aAHCUb/b1nEKuVnBMY9QXM4oEpo7OguoqPVn1f6eAIMgbU/tt/XX4G5NbjXo8pleP4Ccej5k6IWn+Jz22bBi6848xnTo2t1YOCfa33Xbac6EzCxeo8jMAgC/MRgQebrgMS0qlDMOIapp4d+I4zupNbIfFYvE8hF/Mjypq2RaLpRGTd0mKhp7QcB3cYDCIcr+t6O9tmzRNKxQKlUoVFqoqMsG3KzIHdvWL8cfOp1Zs3VPsbKsxw+KWze1uMBg4jqnRW3q39/Vwd8FBjTcx4+TCj4pUKwg0LLTOsJk4Zb+LaHoEQZyFnSpIj86nQqoWisCVAsPG4/brJFrF1LHU+PTnAjFKlyAIBEGOnyix/dRs5n79PbuwqNrRs0WtVpvNZpquI8RjGKan7WV+FemRDcW1pBds/4kwBr/cXQBAEz7tLn8dnPlHceSAzHtm8AgRfeWnwCsbuKAkHMdpmq6M6CnZYOWpPzzZL8/zgiAEXVrtSWWRqMKdOdEPOvtUAMiPuD87+mEeJ4Vt032rLttVQAWWtFQDAAq8VpcZfvYb4bfJ+VnXqioqJJ+LQs9udLGvjG7PO5ZfvW+K+IeFUNsp+64JOftraabXBlkyMjIyMjIyMjIyMg3EIyNLmfohC9B3HxkZEtHEzmgKB0mNhtq3a+yAB1fRN0QQpRLbubvIts7HM9tP/+icbclTY3euWdGfZVmz2QwAKIqOn7R/ysSW3/wvrW4mQgjwV1RU1gmmttWmRbp1CUnPqP7m654cxwmCYDQaxGjZjX9lP/14fJ+UUJo263Q6Py34afFpk9u98OYRZ4dzb5fgEQ9HvvrhGQQBjofxz/4y6YOUcl7VP4DZX0kwAgIA1QJxNEffzacCC4kAAOC5xLAg787anYBWSw15pKvbagqFwtcHr65hlST6Q6eTms2nrB8RGCogKKqrQjS+VvHUNZL5AwHAzi1aEoqiOI4zm80EQRAEYTQarWm7Gsv7Xq1Wi1kQnankLhDNoxvoiYxhGE3Tto4i3mrrGIaZzWaWZRUKxadvd5j2+dmtu+115/AQ1QdT2hqMbFAACQAWi4WmabPJAAAoirKssHZzXv++oXtPVrndXSM6X/v5Sc/xtGzpw3LQPM6nqPimzTfLCfO/PDdxfAtJ1wJBEPr0arZ6bbq1JDqK6v1kcnqlsF8HQwTB7Vntk0T9c8l+NoUXYOOJqvhg+8cYf02dEr2JX7srN7+cnTqkGY7jGZn284IlpYaZs84sXdIbx3FbcxXJqwMhyNP5dVogMfBwfPoER8AN9yaDKswc0jb8+GYWVRSF3BdVsF2tz0ZRVKfTURTFI3hZ0ghE4M00o1arK6m+/gUHHBtslv83CyOc7a64uOy1N3fl5Op5HjAM2TvVu+e96PztmfHD4zNrpeFKv6Si0HtDyk/5VV9BeaZZ8R6vWiM4U8yJOSC6LaHKil7TA4JDrZ+inNO7DQIQc3qtY3nSwa8BgCXU+W2HUqzeN32fwnTzAjFTQYS5GnMSBx28eQY3Za0nk0kWi8XbxK0yMjIyMjIyMjIyMpLIEdAyMl5gFw3nmiZKYYTj+J4dz82b083PTwEAUyYm2X6KYchHn6Za/zlyeIxag2MEyvM8TdMURanVaoIgvvri3kXfXeU4wdeH6NMz5NNZHcT6duozAFxNr7H95+gnEiZOaPnN1z31er3JZDKbzRRFGQwGo9H44xcpXdtRBoPeVrukaXNi3M3QSBxHAOCNl1sFB5IoCs890fzwyXIfDdG1fVBCrPbersFKAr8/gDlSXas+iwiAHKshT1wr1ejKE9RYPeJh7ybGj2056Zmon6mlmqunbMv9l8/WzJuqnTcVwFNFDBwihUUpUKlU2imJoh8FQRA4jhMEoVQqDQaDaOgh+lTYVjabzR6m6XMBgiBirkLwXvbVarUURTUwEJskSYZhRB9qa7PeXtQIgohnyWw2B/ph7ZNrA9hxHPn+8+6fvt1hxqvtPnytNcealAqLXq+nadr2JsOybHiICgB27il+aZhTnxaRezt4GijtCSEhAZLlBw+VlpSYDh4uAgCNjdR76nSpi1FH3UilSFH4zLndQga1vFwusDxwPPy896LbziRFSLc8rGsAJ9jLiLSD43zf9v5vjYwjCMJkMhmMtnk44Z03Wx85WlpTYzGZ2KwsvXhvEb2/oW5+RQRBQKH+5ki1XestAt0n8xQxG3TWv0nWAAA8gqMCH1p6LCfiQQAQzapRBMnuMBVnDaFp65UKgmBq4o5/UqOJk2zz2oVTkuUnTl4dOmJzVrZenAziOOHbnIGedNKW+Oxf9ZpmHKEADPHXpSVfWx5YmYrxTEOuKwQA580he6dV71xoYaw/N64uK5x16jSCW/7P3nnHOVG8f/zZmt1Ncr3fcXAHRz16R4oKKCiIolj42VAUsKNi/2JHRFEEQRARRKyIKCqggko7kF7vaNd7LymbbLb8/tgzl0s25RoozPvFi1dudjI7yU4m2c8883msHQ5/EXn8R1f1GQAYS4U39RkAMFBKDm4PpLfIBhqBQCAQCAQCgWgtLmsdp01B9y2XHk3VntpUJ71iWM/Nm+7a/de0iIggimoQBO69q6MoKgDQLoEbNy5u/cY8npdkqd5JQFWK7Xa70VAf1bVy9fmYWO7FuV4zU2Wcbgj369olZNw1cU4bB/jHIUFRFBzHNd8fWZZfeLTXqneHfPLO4E/eGbz8rUExUczCFenllfaYSJYg8HFXxc9/PnXW3Z0fvrdLz65B3Q2SIokWqZHEwWHiyGBbcEnJrBf32GyXSPrBZtNDVzr257me5Zii5PcZf48w855Hdgc+9ux2O0VRqtCm0+n0ej1BEJqCmt1udzgcoig6HA5nKD3P85pOHS0f/Kpo24zWdDqdyWRS0zC6mkdjGEYQRODxjARBqC9NEAT1bbFarU0NqbZarZIkqe+nIAgP3d3xxUdTZ0/vtnzeIKvVYuSkiBDFVXFWP0rOP3Ecn/dsX/Xxss8yZ94c7+Nczzx4RZP65hu9Xu/p7QMAPC9xXL3m67Y94o+/Cj3rq6hB8aNGRqdO7f3LuUZfjmn54rlsbat3J12SYjXLrR5uGADAUu6jV5Eldb2EIIiDhxosOK4aFfP2u/Xy91PPpFmsDo7jDAYDx3Emk8lqtZpMJpIkjUaj0Wg8X0eu3F8HAF3CGrU/uns0BIbD0mDfVGfsKIpi7sDnFAxjhMrEoi0YAIASIZUBhgmCIOO6qsRr4k6u5HGuJnowI2k7j3c+/bFnYXl59eNP7nYr/PK7ghpjpwC76sTAFxFym+RSDq8+wf74UMmR3y9Krubog1+30QoxAoFAIBAIBAKB0AQJ0G3FRbmnQrQpTfV0johoc6cIHMeHX9Hjr23Tvvp8/MgR0SmdjJ9+dj7ISE27p2NBMf/r78VqNYYlBEFQY/pUbDbb4IFRADCwf/h333vNaaZCkfWCyyv/GygIjUKkVYtSAGAYzmzR2EYty7KqBlr/4fWne73/cv83n+n9ypOpJpPJbDaLoijL8qdfn0/tEakoiktArhKu8DF1pX99fWzWSweWfJ5ps8v3P7PtMl/dMXTt5VmoAPx53dwnfjTUmkQA+Hx9pl6vd61AEARJkp7KsuozoCiK6uHL87wa0exm6av5npvNZoZhcBx3U3XV2OFmvbgGVB1WHQxqoH2AT3R2xs1CQW3Bh3u4wWBwvmqDweAM61adRnQ6XbNVdVEU1ZBwu90eHY4lJZBuMeOuuF4jhmHun5Pm/PPDNVkj+mq7PD82NZlhWtkYPS6O0yyPjKiX9cddE+davnJVhuZl0usNP/2SM216F0vnBI/oZACApbsrfQ+YkCCjZvnmYzXZ5e4rUt8ectdq1/xerr7/GIbV1AgJ8fWva9/fFc46giC9v/h4epmQXWmDf8xMVP9uQZQ/2F39R2a95cj56kavISxI+13ypNOZT52PqztNJAgi+e/XVHkXV2QASN7/RuzpdaStmiRJhaCshKGgxwMURVUnjqnoMN4arCEfY4rkti9HUZSXX9P2x/gip7+3vgmkUYFWs24PnITz37A/zCrvO655TxeYIBnXcNJQMFzGCDsbCgAOXZBnBUowC0JAa5nISw0RCHfffffMmTMrK90t6REIBAKBQCAQTpAAfUlhMpnKy8vLy8tRaE9bUFdX57+SC4FLZi0Ew7D27ePmvzlh0cJr7r4z2WIT16zLcq1gtUoOByFJklNfE0XxsYd6xsexZ07XqhHTPiBJHAAoSiPGWafTKYrCcdyDz+57e9mpQFw1eZ4ncMGol53xrQBgsVhmP9CNo3DeJq5Yd9p+7Pyhrw9+NW/HNyuOvr/ibGZeg1pXVet4d7l7cN9lRVh0jOKmuWDYu52eW7Su2FmwbUfxrDn7nJfbaDTSNK0oiuaYJAhCjWq32+2SJFmtVlmWeZ7X6/V6vZ5lWZZlvVlqqDXdAo1bnoQQwzC73U6SpOr4AQCuo8UHbr7PVqtVfcmqF7MkSWazWTNdHsuyPM+rR/V6vdvpVKOSZi8rqvp1IDUVD0NkNz/tA4cqYsLdjZ6njI29brTGskQLmflAD83yrOz6d3jrb0Vuh3heY6GipMRqjQ8fdUVCfJCXUaTA93t92evjOH7rQA0ZURObQ5k+LkpH49f2DRrWzWBkiZJqB0mSiqKIotgxOei2WzupXkAWqzjm6vrY6vh4vSQpv5+17s2zbT9bp4469artybW56uZuGvpbmzMFwf/AKC3Md17X6rjhGIYl73/TtYKEUwDAG9ubgVWXOkhKJzgc7Y5+GFy026JPKOk61bNZDKAy80ijdiTp6DHtTLmffZkne8nXR0g8z0QBwEWRoeNKd1b0HuNZfm7YLN9PpG11uKwx5M4NewhXJB1fDQCUXfuL2/LL0kD6dpmvdyIC5Isvvvj111+Dg1vTBwmBQCAQCATiEgMJ0JcCiqKcO3fu1KlTeXl5ZWVlZWVl6enpp0+fbq1UYAiVpsY/NiNzWgsJDQ35+rtczcs+49Gd67469+u2Aqf6huPYO/OGGYyNxKx35g/9fPWVX68bu27N1RxXrxYRJAYAc2b3dhtROI6rcYs2m+2OSe1FUW7JyofZbDaZTLJkf/D/un7/S8GZTLOiwKgrIj1r/r6nrKS0wrP88qFu4j3Ox/bYDg9gD+/e7x54xdskNZxc9RPgeV6SJIvFojksPSVjtbLVauV5nud5T2EUAGia9nS04DjOYtG2CwgcNcOhKIqq7CuKYiAyEMuynqdWu02SpLMFs9lsNBpVddtgMOh0OoPBoL4/6lGLxdLqYY8WiyWQFSlvaSGdmC1SMA3OS0ES2OIXBtx/++CWi/6edO8W579SY3bsKnJbqyAIYumKk3FGUEC5o19QMKP96tJy7b7XGK4d3DnwbhzMF0r25H/9ccYva8/k7cyzZ5St33BOFaCHDI7u1DGoc+f6QPLDRypZlgCA85mm4TP6YRiUWuBEmawOBpPJBADpZb6is3kRlm72amHkxFZavyioAFaVcFVQyX4MGqZTBTAHqQcA1pSr0+kkScJkMTzzx6Ssryl7VXDpAUVRZFFb5o4+t8H1z4KCMs1qKlXGbq5/Zvd/Rp2yCUXkbKUAgPm0Y247oiv3V/a62q0wJe2jwFtwlc477/kQAPJ63ZLfc7K3+uG5f/M87+1oQ7NoOR8RAKGhoarL08XuCAKBQCAQCMS/FyRAtwkX0n+jrq4uPT3dc/+yJEkZGRno3qkVaVJEc3h4eFtIQn4JCXaPjnSy9feCz9admXrvdlWDliTJ4XC8O3/o6KvjAGD6tK5ffT4mJFhRg2F53vrxshE9uofePqW92Sx27RKakqJ38w3gOE7dqC7L8ujhsfNf6NfyNQ9FUXAcS2qnB4CUJO67rcWa1bItwvYis/Pf4fO5qkjawrP/V0icfLf6UiuHTrgtfWxZhfZe8nsf3cNxnOvkoCiKZyyzaruh2YLzLdV0SBAEQR3kdrtdvfGmKKpVhr0kSepY8ntLj2GYqiAbDAa73e42BkiSVDUmNQDcWW4ymURRFEVRjfsOxNm55WPb09jEE7frdSZLw/bn1FnTneOiCRxbMLvrLytv7NKpXRtNNeHh2nkIfbB23VnXcHidTscw7PNz+g7rwLEUYTKZpg/2GiH43Z5zPlpmWWZAB0bz0Fu3tnMrya5stH5QV+fY+luxOgDGXRMfZKRPn66PEa6qFsaOjgWAqc/0Nwv10c0KAEVROI7LlP69XdV2f3tEzlTKf+z1o0GHZv2ktpw16CUMIDzvN7VcbRoDhRFqAAAD6Lj/dZqiQBKtkX1YU17WoP8JujCSJC28rTRlimfLOqHaVUjduy/HRzf2SwNc/0w6tKDVh06zZ+GoqoM1qcOaFIJdE9NT+eeMp8b+rzayUUrehJM/hBb5ui7yt68EcpbL55sF0Wy6d+/ucDhavviKQCAQCAQCcQmDBOg24YLt2czNzc3P95W+KSMj48L05HIgNDQ08MrR0YFmpmpd2if6V8lFUVHtgO12O8/z99/b7cu1o4cOCTObzXq9/tU3jhWXiKpy98KzfQuKbM/N6fvic709Y0LNZrPNZlP1QbPZ3NT8bJrodDpZlnEcCw2ms4u1ddWIUMrKNNqPX82Fp1VLp44drczPuUzEAvz972tve3T6llhvLzcl2SCLsijKbtORp5RMEITfKcvhcHCchtet+m47l9x0Ol3Lh4FrtLLFYtHpdN4MQABAr9erCrLZbPbUiEVR5DjOaDS2fFGwVRZXzGaz2h9vYc6uo5dhmLeXndKstmFz0S8rJ/Xu2U3zaCuyZNGQpj7l6PFK56sjSWrq3dsefGjHj6cs6kszm82zhmrbWO8vlHifQdBj+2hPqh9v116mckIQmCTJ6hW02WxWq3X0lQnOo5t+Lnjx+dSzjV0rVGehVQdqAWBSN/8uz9+m28t92r9SDhMAFHe+Q1GUmPTPMKV+OJVEDfesnLz/9bDcX8PytysAMWe+LOhypxqLbQ7tqtm4JfuQ8/GSZb6+9F+Zf8bfS/FFIHMrBpAbN85ZX6CCJCzQzJ/hNSeFlE4Cqz1CPAkpOYFBvWKd+vtrdmOjEYLLoqEyCwDye0520BprP4aq7MIzJ/yeBblwIPwydOjQ0tLSQ4cO+a+KQCAQCAQCcbmCBOj/MJWVlX61HkVRLhM97l9FVFTURQl/BoDrrk30W6eq2sayrKIoFEWpTgsWi0WWZY7j1m/IKi7hO3UMZllWr9eLovjIrF49U0O97Y4XRdE14LGFqOnsRFF8ekaXd//X78ZrEjSrXX2Ftg7V/tsF+gUzTK9Mqyrwk1bxEiAoLCzxuptfeELD+ZcksPvuaH/mbB0AkCTupnXSNG00Gg0Gg1PVpSgqkIvY7BR8TYUkSVeV3Gq1tmSMmUwmWZZbkhSRpmmDwdBae6utVqvJZHK6f7ge4jjOdZOBrODeJu/H7+9+YWaYfn27ezvUvZv2gtzb7xwRBFK1As84XQ0Az785KLe24ZXoCNmo0x5Lx877kpKT48M1y7MrxTE9gm4b0EhhHD8u3vlYkhRJUgiCcF7E+6Z1pWk8JLheGH3zrZNur+Z0Kb9oT436+McMrxkjXfnfD+d9rXMoCgDYQlMSTn3KmfOcxbFlGo72ImUsS5qQ2+VuiQ4q6HSbM8BZkiRF62dbcNZWAFAU5YcfD/rtZ52hQ/0DfXu/ld0IcMy1L9qqPrDToZjsIJQmLP9wfCkdSRYMus0arD3/+yA8d59mebsT30u09ipC/JY3bbyf64vczBB+efrpp3v27HnPPfds27YNDRgEAoFAIBAITZAA3fpcmJ+eoiiWlJQEUjMrK8t/JURgJCb6l3dZlo2M1HAubmsURXlrwe+vzjvit+YTc9JefuPArj0ldSbBYqmfBBiGuf/BHRt/zNbryfcWHQMAQRBEUfRrStuKQpgsy6olgsPhwDDsqkGhr8/u6Vmt9yANYYKz1VKmKgCgq4q5tx+snv+weAGdcC4WY67qeeukRmPy1hsS9Cz+yefZ6p+//JrrppyKoqhm23NVddX4Sh/gOK4ZBuh29Vs+GBiG8Vzt4HnezWxap9OxLOuWctAbFotFFXyb1yWaplsrwN+JM+ujutLDMAzDMK7vnk6ne2Ox19jMYYNSWrEzPsAwbM6TqVNvjnt2evSN18WEhDQ4/PA2r2Ghsx7deey4KTdPeH3eIQD4u0DCsYaxwfP8jana12L7GV+JXvUcF8Jqz0WSDL06NAqb7duvkX+IogCO4xzHqbOZ2Wx+be7AmtqGKWLdO4eCXOyLtpyzN2Pp9oOfjnk7VO+tLNoZa33mRm/Nl3S+LbfvEzzP22y23D6Pu9pr8DxfkTTB8yksX2K1mGY/vWnBQq8dGDE8Sn1wnBmlPgiyaCzUVYT28daCJyKuAwAH4XXbDSNUU5K7z7LfgGhCFtoXbTEY62pSh5WkjOaNsc5DZR1H+XqiJCiAlaRo5DPkvcjZmCJbf/3Yd3+Qnojwi16v/+6770iSHDt2bM+ePb/55pusrKzKyspqL6DQEAQCgUAgEJchXvc1I5rNhblXOX/+fIA1g+FsUb4S165Tm/bnMsFoNFIU5SPMDcfx5OTkC9klJ0s/2vHzFl9+LK4kJ3HLP04HgEce6j5sSCyGYWaz+f2FV8x6ZGdNjXDgUHlpmcWgB4ZheJ73PaRbfXsyQRAMw6h6X1gQOX5U7JYdjeIieZ2GetVu70bXP9nC87a5d7Kvf0F4d2+4NHho+ojk9kfnLz51zaioc1nmr7/Pcz365+6Sa0e30+kwu73ez8RpiwwAGIa5mSN7g2EYNwdwN1prHULTbUOSJI7jHA6HXq+XZZkgCIvF0qQbeEEQJEmiaboZodCSJBkMBqvV2hZzu/NauInpFEUVFGu/4WOGR9F0oJ4GLWdYCh5T8BnUARjg2WvAQRtt+shcY88MS0RWQVByoq4nnZNgOf1e1vAt20qdz1qy7KTzcY0doPE3YzgLBFZvuOxKqUURRYkkvQabT78q5t3NRZ7lf2XUnSluLHR6tJ5fYD59pnzs6CR1uaV9e2Oj6pKS9cvp+HFd7S2Yz/ReIrsBoCo01WjOM1bULyrYqSCdQ0NtVzCiztiRAGBZVtMbxxTRMzJ7k+cTV6/Zu/+Ar9SskyZ03LW7DADmLsj84z6v1SKq/SdUBAA7HaITakjZDgCU5Mv3ts6QFGTOdi1RA6JljMAVX+81BhBecxIAIBiU4CCR4ERSH2s/Utp7dNiJHbisnSYUA4UQLABgDUngagqc5aGFh72dKCw7TbDPpHW+tlloZmFFIJy8+uqrCxYsUB+np6fffvvtvus7HA4f1lIIBAKBQCAQlyQoArr18bTKbXVsNlvgql88l5tEbivP3tGmXbp8SElJ8ZaxLTg4uFu3Nndl1eTkyayv1jch1D0jvRYAWJYYPix+9pw9AMCyLM83COvPvfA3x3E2m82v6Nbqad8pinJm8hFFcfI18a5HB/UKkQhP9U0JO7DFrYg019ifnnQBPo8XnXFj+2z5dvLW7SWZ2e5RuiVltiMnKp3hwwaDwTXYmeM4Vcz1ewpvV1kVZRRFUQNLW7gaQRCEpkCMYZgsyyzLWiwWm81mNpubET6mCtDN6JUaMN6kHKRNheM4twjrP9NKvVWedruG70rbYa9rZG1MCSZjdVZq3o9TKlc8y66eUr68a+FWQ03OY928xt6qOOQG/Y7n+an9gjSriZKvD2zf7kk6UkMHVABiQ+iRXeqXpqYNM76z9OzESYmkS+XnX9q3avX5/QdK1Vh4DMMMhnoBiCAwAMjKMmd8eyJYe3Z355r2Gt1IDtMYYJIkHS0oLxtwf+aVr5ZF9j015LWMLg9oqs8AoGA4QRAhBX8xfBmI9uSj77Msqx7CcRzDMIekPSGnn/YToZ+QUP/mmC1SdVAX35U1KQ/r53ysE2qqg7sCgJmNc62Tk3C96ydTxoiyrlNlvKXrJRgAJVlZezkARFcegHbhvDHGW+XI3L1lHUeVXPlo4I3XnfMzelEQNMI3BEHQTeFi9xeBQCAQCATiIoDmvl6gAAAgAElEQVSW3/+TFBVphIBp0jdsl/oggckoLEuJiIrzXR/hFwzDOnXqJIpiVlaWGgqNYVhQUFBCQpMNK1sLRVFmPPpX4PX79Qk7dKgSAHheuv3O3wHgnvv/EIRGN9h2QSor4znO/123xWIxGo3wT/40SZJc94w3A0EQXKNBZVlmdITtn7jEibf18IwLDavMxbV0K1wSrW9MN768+pIPXvPhkvzB8nQAeO6JXqndQl3VZ/UdpigKx3Hf8oqar9JHBac83YzVCIIgcBxX47J1Op3m4OE4zqmSt2TnstlsNhgMTY2eVjGZTEaj0a9XSTPw3FTBcdy6jdr+G+GhdEx0RKv3wQfG4uOa5WeGPtZp/8eEVO+XElJ6YmC/rgcO17hVm/9W/+8yAQByqoQ4tqE82qj986OqxhQX7VUDxjDsqfEx837SsIrOq7Q/dV3czjNmAJj31nEA2Lq9hOCoqweF/7atGABEUQGA9z44/vTs7r16RppMppUfXfnknLTaOsFqFQGgW7fg2S+NJEPCdqVlnKrQ/kSwJIwIFt5efLq6nX78HZ33FTZacYkNavSiFEU5WliJ6RjQserfNEHarGY5sqMj04DLAiG7L7dIJIthWFjRrvCiXQAg6EKdHz2O4zAMA62hqwCcynB/510ZOiTiznu3Of9cn9PjwbAmZyOMrGoURBxaexoADHyjXyMdCn5x/RNXpE4H35Qw0kEwlGRzO+TWvplLEI3xxsoThOjHlJmSeCoYznWflvz3as0KUZk7ojIbLbqXDrvfHpEk4WTSD8951mcPfQ+pg32cUd144btXiMuZRx555NZbbw28PhpOCAQCgUAgLkOQAN3KXBhbtwAFvq5Bh11Vt3hpU3HFDWERSINuBUiS7Ny588XuRT1HjzZNSuAY9zsfN/WZpvHbbmn/8usHli0e4Tc8VlEUV1WOpmmSJJsdd2wwGFQnaGcJRVGLXuy1aXvp5h1FvboGWXUagZPtN3s18fyAui3y450zZ/hyDr0EwDCsd2rwsZO13iosW5U+YXTC6Ktj3EKMaZr2e4lVJxbNQ6pyrSiKGvus/k8QhCzLAU6GOp1OdRunaRrHcc1nteK8qmrQzTN0bslzvYFhGEVRbvYmRaU2b6/46RmprXj2gJC1o9r11TkCG8KaG1IRvDn46LijHdzWMv76R59MLxUSkhuWOqqt2s36vdapXTuClgBdbhLzq+wAcOdgw9t//tN3Gf7cVzlzRudVn553OOpPvW178YD+8epOizde7cMwzP0zdixeMYaMqA+qHTGsW/+CnLWHG30uEg2g5FVs2lKUBgAAOfmW3r07VljPna9u6LCbNcqxM+ex8Ab/YrauFBSZY3S8PkgkOcamMZBOd5zGKYoptHtQdToAkA6z+mlSH1O2KsFDGFcAKwntLwi+3re9+xq5c6z7rnT6DD8OGK7YdOGMvdJ/PQAAkHCKkBstqBCKSPgMbFcxWAvyoodytZmqAF0d1CW0ztdXW0rhhrxBU2IPbvRmx+FKdNoqX6euyhYEO0V7XflAEdAI38TFxcXFoV/XCAQCgUAgEL5AFhz/PQLUYsLoMo5015ViHZsqK7zu7Eb8R3ljgVd3S09SOhp37SnzUWFg/3CDnvz8y+yamia75QKAIAhqNC5BEKqbc1ONDt3EOEEQ7Hb7jWNjRw2KmnxPP8/6OruJK9DWKfZNeHnLr0Vrvzh/5Ehmk/rwX+SuW31tqw/h8LVfnH1rwXG3WGlFUTiO892yLMveQsitVqtqaMBxnGroEcyRISQfzIDR6D/pn+qtLIqiw+HAcVxT2/UWFt1s7HZ78yLiFUVpdR1Kr9e7DXgMw37ZXqBZmabwgf0uUPrBBjQcbwAAdJby6thGCeuMledWvNooJWZICF3xz6XLrHQ43SQYhvkzUzvKlSD8/yx59roozfKlv5cCwOpPzrqVr/oiJzSKCw6iACA+juvaJcjZDVX9X73yKjqoUQ5DLqHDA6PiUsIwAEgOAulo7o8rjm/a0ijaN2PXidFXdIl3GeZhIcFms7myqrqkrOxkRgY41WdFAUWRHQ41myVTXYxLdrcheKz7bAWgy/nVsuhQ1WcAwGSH0/HJIlPR59bjbDAA7OUmLKq84+XMKbf/Nm7EmpG3vKfXebef9sRml3PCm7AmF7j6DABu6nOTSMxeT9vqtXLf6nN9/aJfbSldBTbEW4WKxEZxzRJBWbxkI6zOPu3jRChlHAKBQCAQCAQC0UKQAN3KXIC7lEBcVglM6mDQvnmLEX5o7R4hLjIlJTb/lf4hJdnou0JBobWqujnSsxOLxcKyLIZhGIbZbDYf7hBuUBTlafWglvA8f/dNHWIxW7RkjpbM7cWaJLE6UawJl62JR37VbK203/gX3sxQHz/74u5LPoStb5+O3g5dd1V0VpYZAE6fqXnqmb85rsHO2Gq18jzvVAY1EQTB235hRVEEQdizt2re2wf/754/Zj78V3L+ysSiL5IKPu2UsyRY78v71S2a2GbTHsYkSbbuvKomM1RNq5uK3W5vxa3TrtYiTnQ63bGMas36s6d3ufBmMnWxPTXLw4qOVCUMdLswqSdWDR/a4BBy/0PdXY/uzbVxHMfqDZ8fsWRVasuUQQY/yyEA0Ku7VxX+hh5sWYVdp8OHDIh0La+uFWbN7Lx83cTXV0655t4rLUHRAhdks9koiqIoSlEUvLpEqSl3fQoRHDp6ePdpQ8I3fHT8+CmNvQVLPzmL4cSEkZ1DGQCAa5LJIpk+W2XeX+M4bMHzmEjZ9I8tBoYxdeXOlQYcw/L7PJoXP+7kwP8BgJWJykmY0DVrbfbguVmpDxnydzpPgQEkHXw7hJLVT6gpsm+7o4tfOnfL00tN6zcVbdtZll/Iqx+O/n3D/b5vriz6OdBpuRVpnve0b4yWvLqYrt6OOoJjarqOdf6p4GTOgLs1awqlOa3eNwQCgUAgEAgEAuEECdCtjJuVZ1sQiBbTM2Svt0M4ppSXaexfRvxH8bYgQWml6oqKZDb/Wuijtfvv7VRcUh+yaDA0M3OUoig8z4uiKIoijuOBfygcDoe3BI8qNlMdVldpkGx2Uy1vqhNMtaylGgZcXTf+XrdPhcQap38b6vzTbBYPHb7Eg6Apinz6UQ1/hjtuarfp53znn2Xl/L3T/1TDllUURfFtmaIoiucqAkmSBoPhj93VC5edrqq29OsXBh5eLkl5HxuNRm+KbYAZC9tCcjWbzTRNN6NlSZJ8i/WBQxCEJEme83lBid1m114sGXOlthbcpgQlaqt7ZUkjudp8z/J5HX9SH5AkllbR6NLvzbW9v6t20c7qKqvX1SCa8j/tYBg2obdGfL1Bh636+DQAvPFC6ox7u44ZFet6dPHH5+mg4PoWCEKmWIIgFEVRFMXhcNjtdk4WlDL3V4QRXjdwiKJSl5mFkdStV6U8eE1ycmoXwHGcNUSDXXVqLgFaFuwAQJmrMBebCJPJpCiKI34gFhx1ctDLpGjFZQchmE0mU9cj82PL01zPgstC+2MfdDz2PsMwwSV7d0RMSzugEY8cGtq0tGb7DlSbuAudtyC07kxR9EjNQwqAhDXTFI6P6uBWUpB6IwDIGBGdviXo7J/OctLB99g+T7OR8HN/+T7LJb+EiWgVZFmurq4+f/7833///ccffxw+3GiDmrqj63LIjYxAIBAIBALhCRKg/3v4jb9LMRzFMV8iNcf/3ao9QlxMvN3JOESNMXDN1TE+1i9iotlPPzvv/NNqdbT8lpvjON/569zgeV41c/A85JQLXYNGGYYxmUzl7XuVPLncmtJgCPAKfrfF0uidWfrRkaZ1/T/IxPF9unZyj3DfscN9wcnhkKfevc1Vg3YDwzCdTmcwGAwGg16vZ1nWTSfV6/VLV2Xe/dCu7zblZJytpRiSpnAAEKVG1TCAqPJfKS1JkSCIJg2MVoFhGIPBoIrpsiw31RzGicFgaPZznbAs6/kO6HS6BR+d0qz/fze2a17UdgvhwrT9LmLO/27jIk9d9T+3ckowr33JCACPPNvX0cT5gyUDzc11wxUaQdC9GIe6BDLn5eOiKNx6Y7u1H41ctWT4mqUjZs/q4RCVg1sPNvTTZlIN0EVRVI3RzWYzS7ivSWz7WftyqKxZmwEAGEXjTMOyBG4MjXbUAQBgeBkvyJZaymEzN05fabVazWYzVp7PEIREsmLCoNx2N/RKf9/biQiRjz6x6mT8bS++k2XXWp8wBrl/ygYO8BMTvalmhO8KbUFIbYaEa2jlGAChBKTKZQ94xq2Es1e4lSSc/AEAcEXCJcGvQ3RdRJe3HPeN/iz11Cl38xYEoklUVVXdd999gwYN6tat25AhQ0aPHv3MM42G6zvvvDNy5Mh58+YhUxcEAoFAIBCXISgJYStzAX5T+tYgaMxupE0+KgBAGF2SlXU4Lqnvhd/NjWghoihmZhZlZ5cBhnVOiW3fPjpwIQzHsdhY7pmnenircPJUzeatDfHRstwKwadNbUGSJDVoGsMw56eJJEmGYTwtGkiSdIrRVqsVJs7UffwcYa7586rn9izKcqt89pxJEBxuWcIuMTAMW/b+hKn3bywpq3+vbrwu7rv1OZ41FQUefWL3kkXDVRMMmqbVQHWaph0OPDfftG1b1v6DZZKkAMCA/pF33dklKsJgtVppHfvNxuxf/2gUR7/vYKWl2g4ApId+x9qKPJcxdDqd67VrCarPuCRJBEF4a1Cv16vj0JnfkqZpSZIYhmnqnhW9Xq+2oKmq+0W1yVYfm0waE3VFtWizaweGXz/m4mQ9JSnt0FoHE9Tp4Epcy/A35ez3D09/cHdpk2ePqzsyAc4YBr1+Ul/jj0ca3sNe8fT6ddnOP3U6nWq4XN+lZN3CNwY99dL+HgOT2KgoABD0oazg7i1utVp1bJ3AGtVuKLL009Yi8E5tnfb4IcKio8oLytgIAscNgknzh4HBaAQMs5trTGE9hdrSrrnrNZuSMaKC63QQv+LkOf7HpV47Q5DuPwwOHPRj3Lxxc/ngV58mJAfJ6mMTkxVFKU7fH33+O9JhJpS22svF2cr9V/JJ0sEFbiXhlUcUgKaONhkn0ztNfu0LR36BFaAQAB6YtWv3X528/cSSZfmirAAh/iscPnx40qRJBQUFAEDTdHR0dGmpe86VQYMGzZ07NzIyUlEU9AscgUAgEAjE5QYSoFuTCxbRQNO0GrHlSY+Q/QDgkCkK93UDmczuL88tNLafgH4B/1eQZXn9hgOLl7mG4x0DgCce8SoouxEeRi9Y6Cuary1o0ocCx3HVFVev17uOcFVb9GwKx3HXAHCe5ytnvSPt3vq6h/qsUltrjowM1Tx0yUCS5Ddrblm5Zs+6b7MJAtu9y2vS0YpK2x13bXt73pDYGB0A0DRttSovzN1fXu4u9BcUmp+eewAAxl4Z+/tfGgY+JWX2IBooCiM8jF8oyUTTlCAIOI7r9XrV7oMkSQzDSJIMZCey6kDtza+DZVlVZMRxnGVZ13SF6ukURfEUptXRZbFYVB9qiqIkSdLr9ZqisOu5nKsgOp1OluUmpSXU6/W+NXeapue/c8zb0aioCG+H2hTFywukbbUAYA5NMgjZnkev4/Yf4MfJTflKxACu6psceP2br+yxPf1vs10BAByDQ1tzXI8+/vy+994Y6Doego149y4hsx/bvmTFeCo4BAAELgQzm10nFkVRSJvJwdVnKTQXlbq9ep0OJ3DMytePRh92+WRkQseqQlmWwVuwv6KYTaaE4m3h1Sei4A/NRixM9MO/DjiXZQbIBICUZMO5LDNJYlcMjj54pNxibfhQVHnkjNXrSbddIK5gGCxfel1ISJBLCRbXYzD0GCwriuXXt4JM2rPovxBCcdhpPSm4f7jOjHi8y64PPOvXhKX8Rlz1wSe5suxu7f31N39PvWOo5lnUiatVOoy49KioqBgxYoTVao2Kilq5cuXQoUPr6upSUtw3anTr1i0qKqqwsBBFQCMQCAQCgbgMQdEcbY4quLSue2BsbKxmebegg6qe7Ft9VonUFZblHfZbDfFvwG4X7pn+XWP1uZ5FH556eEZAoZHBwU0zCR13TbuWOxVqrnBwHOd2J0+SJMuyDMOYzWZFUcxms6tBhJolzLMdSZJc21e9XInh4wb0j/SsDADnzvsKZmxTZFkuKanIzS0qKioN0Pu42WAY9uC04b//cOuse5NLStxjPN149oV9Mx/Zk5dnnvP8gVmP7vJUnwFg8MB66VNTfVbp0jk4IpzBcY3L3THvoyCODtJBcN2xiKpd3Qo/Ssxffdesnb79vp0IguDNdplhGKekK8uy3W5XTTZUnw2Hw6GmWPTRuNls1uv1AECSpMlk8mFLog5C57VTVW+CINSne6LX69VBrtYxGAy+1WcMw/KL7SYviuHE0TEXa7FQ9jJcrUHxdjasePB9mkd1tuopvfzkO3Xjll4Gmm7CHEWS5LvTelMEAMDkrnRZRSORt7pGWPLxadcxJgjCs4/3UhR44qGtss0CALKi+I5k37Qh3a3EbpeHDori2Powdl8ikqKIoohhmDpNqcOS4zjV1sZgMMgEhUe3E+hgbw3U6pPGLe96Lqs+iBvDQH1MEvj0u7q4qs8A8MeucqLx/gOLRaRpr7/xPl051lV9dgXDMHrMHIH0+ln4F+LQafTWTX0uSBy5GL9v4q4bxq9Kfv/jXM0fZZ9+hlw4EM3h3XfftVqtEyZMOHny5A033BAZGWk0akyA4eHhoaGhnpHRCAQCgUAgEJcDSIBuQ4qKik6dOpWenn7mzJmMjIxTp07l5eW1SsuaKomRrGbJRlKLRY6sk+N8tJNIHxDFNs+aiGghsqzcOW1DVrbZW4VVa857O+SKntOI3mIYr46r+/aXBigR+kBTwhYEgaZpVYihKMpoNKp5C61Wq7NOIGs2kiS5uUU7HA5BEB57WDtX25zn9l2ANKFuKIqyYeOBK8esmXzrj3fcteWW238ecdWa197Y2tZpiHQ63ZSbh7752mC/Na1W8fftuWVlXoXaoGD/dhMDBoT/3x1JmokrcUXqmL8iqWBVZNWOUNNRAMipTFob+l36mWqj0RhIUKG3YDE1wNn5pyzLNptNNV6w2Wzetom4YbFY1GEDAFarVRWUKYpSvTJU+ZiiKIqi3DbgS5LkcDjUMGrXcoZh1EB+mqaNRiPLshaLxekF4Q29Xv/mkpPejt7/fwMDeS1tAaa1qAAAEqGTCdqbkTcpmIf1Sg4OeP7oHE6M6NOpqX0LMhqWPzRgYjLxwbIznkcPH6/8cUuhq6hts/Er3r9CFJUnHvwZHHaZ0nlOcU6hXxYdO9M0/CLuuT3ljpudkdpeFWi2pthms9lsNqvVqiY5NJvNqvWzLMs79pTUORRMx1VHD/DWwjZ+mGsIuaIASWIAEBvN8rz77CHLSmI797UQt6SgKgP6hb3/7uAunRO9nRcASJKSrl9QZ0zSPFod3K362ncdt6wUbv6Yv/Ejy8QlFVfP03R29k1x5LCmPsUbVYmD/NZ5/ueorzYUVlT4sp63WsXa2rrW6hXi8mH37t3BwcELFy6MjNRe/1bR6XQ6na6mpgZFQCMQCAQCgbgMQQJ0myDL8qlTp6qrq93KTSZTerp7RFXziI+PdyvpZHQXL/R4uRHzE/JZlHPpZ2b7r/PNt3uLin1Fcdrs8hOPdPXbjk4rGs5m8xqNW1MjtDxy32azeWYUFEVRDXNWRTpBENyCgl0NoNVGvIVGut3FqYndaFpbVVcUeGz2T815Gc2F5/lrr1+78P3jYuOckFt/K7xq7Nry8qo2PTuGYVddmbp65Ri/NQkP72ZXikr9Zwvcs78SAFQ3D99kKFdSS5bA6++l2jLffP9YIGbKriKvwWAwGo1qJGnzjJh9IMsyz/NGo1E1lTYYDKqDhyiKVqtVEARNuVwNo3aGuILqSA6gKo+BWF3r9frpc/Z6Ozp2RJTRqB1nfQHAcO1Pk8CFA0DCqY2aRwkHj2HYyzenBhK2nRqJP3xdavO6xzLM51/leDu6aUveky8d0uvrB48kSbJkW710hCDIT83YhMmSTR/qNooa5iIvAlFpmfmnrfn1VbzUIa11VovF2Zqr36u6/yM0mHj6iT8BQIrQEHntdMjRhLs/WFPoVr76w5EAkJ1nfvGNg57PGjTQv0nLS8+nHjtrfuaVIwuXaJt+OKFomr32heKhL9jpBtsiGSOye8w0XvOUMSgEwzAcxymK0jFsSHiUdNOHue1vcm2hIrx/fspUH6eILU/z2+EAEUKi/dY5n+knPYbK4SOtEyiAuKxIT08PCQlJStJes3GC4ziGYZ4JLRAIBAKBQCAuB5AA3ZqoIY0OhyMjI8NbHUVR0tPTWx77EBIS4rq/r0vQUc392X43bafokQvHvxpBcHy44rTfaos+PP3CnB4+LjdN4+fPNy2w6/VXBriGJDcPHMc1R7uz0GKxeAZREgTheoemfrI0tT/XoFSO49Q4Ux9hzseOV1+wez9Zlm++7TuzWTvSWZKUSTdv5Pk270yXLu1/+fEW31OBZ/JAVyqq/AvQx9Nrlyw7Ex/rR4A+w16re/0VwHEMAP/w7TPnap1J+XzD8zzLsgRBWK1Wk8mkRpK2RRS509lZEAQ1WBX+Ga6yLHvzwVBjnNUQV9cB5m38u0LT9LsrMnzYJc+696KFP4P3tLfhhQfqorpJEdqBtIRoAwCSJBfd1dtIex1dOAb39WcfHN+rJQYjouRrnazO5Jj+2G6ni4uiKLzV8tmykQnx+jkzN0kK0PpGO+VlWVZ1ZZwgAADDIMhIfb58lHo0yEjOeflwWYVNDUbWnNpwh53k61xX73Acd/6pTqpb/ygRHErGn4fsZSX50aMVAAWw4zFT7vht3BWrR129ovfDr+eqKUBd2b23Xvgur9T4SAaH1q/Saa4nkSQ25bYOby+pt5jYtKVw0bI/fQ9ODMMiE5KJSe+IUz5R/8m3rGjXXTtkG8fx+EHXq9Uct6wUp3wScvWs2D5X1xmbHNiuImOEjAU0OQCASPqZeRRwb2rViuGaNb9Z79WFA0WtIrxhNptxHHf7leI5ranfL03yGkIgEAgEAoG4ZEACdCujKMrZs348BBVFqaioaPm5EhMTIyIiAIAjTXoyoNAeTbztoUb8G/jiy78DrDnvnVP9+4YlxLuHGwOAXk+uWj6msiogRwKVkBA6qYOx5ffbHMdpmvDabDYf/h40TbsFXwuCoBnu6tpDp1ImimJSB6/+s2lpF8jl8+VXt9Z4ZAZzY+4rv18AUSM0NHjj+ht9VCBIr98FOA7pZwOaXlYsG/XQTG1NRwGoMPar7jeXIMMAAGQZf+DWxv4ZfpAkSRRFiqJcB0aA4nVrIctyk0xpDAaD3yUcDMMKS4SM8+7J0Jxcf3VscFDTzJRbFxzH7Zx2aG1FwmDRqh3f7dDV9xnDsDdv7z1jaEgY20iLoXCYnMq993+9+vTo0tIuao0iHIfJE9vff2cKADhE+VyW2XW0mM3mF2b3NluleS/8JokOV5FdlmVMFpmqQsDx0BCK48iXn+278rN6/33zPybdny4ZAQCMrqFNXLCxVYV0Rb5YkusW9s6yrOtiidVqHXNlHAAsWn728afSbp8vjlo76qp1o2a9VZZX6HWzC4YBx/kafl9+Vx+6m9jOAAChoQ0iF03j8R2MP/zSaEfUxp8L9h/QsC5pOa66G3PNM82wkzbpE4Ubl8q3rMgf+r/C7tNknz9W7XRwx74jFcxXnXOpt7qVHDzsvkdN5fiJ6ra26UdcekRFRUmS5PfntJqWICEhASUARyAQCAQCcRmCBOhWJicnJ5BqZWVlraI6RUdHd+/ePUJX0pJGykryW94TRBvx5beZgVc+eLiqoNB65+0dXAsnXJewddOd7RO1E1dqsuaTUR8tGek7e1uAmEwmb1naKIoK0FhDhagPSMQYhmEYxmg00jTt7CRJkk6xTxTFa8e289all18/+P4H24tLyttU+a2urt3+p9eUfU727C0rLW1bIw6VqKjw1SvHeLvn9REB3amjH/WTZYhrr4795INRnVOSjEHBRYYhbhUquVR+6LyoofeFhUemnRW33fiKguMA4Ejtd8M1MYFfBYfD0eqeG5r4kAZU05gA2wnkpdE67vXFJ7z3BGbe69/ctq2pjeujWd4l7YOwIu09NKpBh5MeKR1emdJ7wa1dn782fs6Y6Jeua7fwzj5X9uvsLby6SVCURiOyDLvSSkcMjX3n1YEAMO+9Y26LB2az+b03BuUVWGc/m0YzDWlRBUGgq0vshnDZXDvhmjiLRXzqpf1OA33n8seMJ/d0aMfFxzakx2QsVWazmed5t+uOYZjbiJIkqXePEFf/fUkCh8PPaFEUKK/QWNBas3Rk+3YGALALstpmdo4JAKqrGyrffVfHohKNzRbPvHKgqdOgoiiFhaU//nR444+Hc3KL/Wq1OI7DpPeUgH9tyhhZOfpt9rq56hWJTWgf3eMK07h3vXlM23Wh4rVvFJWWH5+ypLjb9TKu7SmfY3HPuPjRCo2kviplZRdiTkZcSvTo0aOystKvyd6xY8fy8vJSUlKQAI1AIBAIBOIyxH/2J0TgqD6hAVa22WzOTcEtAcMwrt1Ea/HXHOErSlFR62qFigl25Eb3L0UURSvf5FCsdV/nXDsmNjqK69M7tlfPRJZl1PI7p3Zc96V/OTs+jpMkh9ncOnHx6l2Wm6ezitlsNhgMmpni1Phot2Aiq9VK0zSGYaIoiqJos9lUF2BZlkmSlGXZNerwylHxxSXWH3/K8WxckpT1G3LWb8ihKHzkiOgXn7uaYZiWv1I31n15KMCaCxelvTN/Yqt3wJMuXdpv+enWqXf9UFXt/p4TpNeb4cREQ3aJVznmyVndJ4zv7RpbGtr7Jtu+DEaq5YmwqqC+QSmjIkPCAMBut0+86XM1A9iRfs89lbeUPnn4tpOH5Zu+d/o7i6LoHDAEQajBzhiGCR6uzGQAACAASURBVIKgjhPX0eK6/NC6qCNTM22goigURQWY3tA3GIbJoJv1wj4fdZ6e0Y1rja+JlhKeCFqJTrP73p1wehMlaLxRDibYs5BhmNg2+KzNuq/zO0s0dJ/yStu9D+/s2T0Ux2HN0pHf/pA9ZVIH11mCY5VVi4crAPsPlvbtHc6ylDqirFYrI5cqUe279IyBb3MxDLZsd1/lFQQ5J9/63OyGfKfeHPMNBoPJ5P7tLIriqGHR114d+eRLxwJ/pSzT6BQ4BsvfvwJANlvqTYdGXBH1+3b3da+kDobPvsn11uYHy/564uGrAjl7dXXtF98c/f6nPIfD2Y0TAPDYzB633NTfh6CG4zgGgaYTqIroFxIW7laoNwZJN31YenhzdM7PhFIfS64AVpR8Y0SfcedLq0Q2GABKB99eOnAKW5iReOBztq5RuPdn3zdh29n7H+xboDUnu3p5IxCuDBgw4Lfffnv00Ue3b9+u0+mcX2TOCmreizvuuIPn+f79fX1eEAgEAoFAIC5VkADdmlRVNSFqJj8/v3Pnzq1yXoIg0uv6OgU+EpcY3BLHZhmohpveKqlTldw5hdqs8XQc7Tb9l2K1NlNf+3Vb8eerxiQnN7JnnX7fsK++yfL0FXXjlf8NBPDqoewXkiSd0iHDMOqwxHHcM1BOr9dranwAoCgKSZKuArRer1eFZnAxjfH2dADgef62KZ00BWgnDoe8/Y/i7X98ERfL3j+t27XX9G6VeEy1/99+5+vUruxJK2uVkwZCUJDxhw13fLP+76UfNTIW9zSNTe0RMu6a+NAQvUO07divMbM9cn+nG28YQHkYcxMEUZz8YHR0hJ5rCH2vqzNNuPFLs1nUc6TFKh44XC0O6kwfPQAAkiSp63YURanZKdWn6PV6p1aI47hqAO06JAiCaBUh2BPVA9rb0VYZJDqd7sQZ04drjvuo0yXZMG5075afq+VQSb1Bywoo5cCKjCtmd9vzvuchhXEPOG07rr6yu6YArXIivRoAnnh+X1WNsGtvyQdvDbH+YxsiiqJqyXrF4Jh7Htqx6J2hwf+MOpIkHQBB4UbwkmlQkpQFrw6MjeYEa51I6jAc97b8rBlijOP4+WzTry8V9ekZcvRETSAvc9rUpJWfZ7uWzJs7gKbwZ189WPmPS/upTHN0O4PNJpEkNmZktMUk/Ly5MCyKKdAKnVbZ+EvB1u1fdk0JmjGtW0qn9ppW+0ePn31jwZHSMu216sXLT61cc/qr1deHh4eez8x9+73DpeU2WVYiwnXPPNGnW9dkSZIC/60ZXn5AVB7wlOdwHI8aMEHuf73NbpNEkSAImmGjMSy9oETUh7rUI/h2qWfavY3ZLBEnttTiwYdyiC0763Jy3b8sFr078PRZy/KPNUbO7rSyu6d9O+epPj1TW+dHGuKS5/HHH//000/T0tIGDx48Z86cSZMmuR6tra39+uuvFy5cmJ+fn5iY+OSTTyIBGoFAIBAIxGUIEqBbk9LS0sArt2L6rJycHNdbXFEmzHLQWVOfWDY3lq03hQwnzofhWjFsADKgdCj/Uux2bSEYw7Q1EVeefHbXD+v/z7WEpukv145fu+5ocDCt2u+qjagPFAVAUUgKNxioloQ/syzrDPdTkwHSNO0ZrOotwtSJMwjaaDRKkuTmqeoXURRF0fzEoz0XLfHqb+CkqJh/fd7hN946/OOGmyIiwpp0Ik3sdsGv0H+xIEny/+644tZbBj86e9Px4/UuqK6ianQU8/FH4yMiQp13yGPHDDhx4tyHq9LPZZpTuwffN7VT715dfOiwX31z4pctBb/+cpfBoAeAXbuOPPF0mjrYXntl0FPPpAEAeS4DAKRnXnfKdp46nbqAYbfbZVn2DHZuuxt4H4MTw7CWm+br9fpX3j+RX+RnSC+df30LT9Ra6FhtFx0A0FSfAUCOSGqz7rgTSJD4e28Oee7VAxar48Dh0p7dg5wLDOoDi8Xy2bJRsqwUlJgS4kMwWcIwTLZZn3psu1qNJDFRdB+fURE6AHBUldI0TZKkejkNBgOGYeqGDL1er8bve/bHbre/9FSvoyeqfvktL5DXOG50wqgr4rfvLMsraBg2MVEcjsP8uQN2/1266vOzAFBe0TA4v/+lEAB0QfTxdD/pZ3mbdORE9cwn0wDSCAJb+Fq/vn27q4f2pJ147hX/mYp5m3TT1E0GA2kyNfywqa1zzHh8N8Du225KeELbRVwDDBSHYKd12pHyGIbpmIbLXVlV7XBVn11QGH1x8pWP3rfV24meePrAXVO9Jkg8n2ma8dAuHN+17rNrO7RPCLT3iMuVqKioHTt2jBo16vjx43fddRcAJCUlSZJ09OjRHj16OK05IiMjf/rpp7CwVviZgUAgEAgEAvGfAwnQrUmTvBQVRWmV7ZyKonjT5or59pG6IhKvvyH0dqqoGK9uuYiLC8t6s0j2/9zyCvvJk9mpqY1koHbtYrNy006f0fYmjghn5r7QX5Zlv+qwbxiGsdkaYuVkWXa1zWVZFsdxv+1LkiTLshoG6yMc1TcxMV6FM08UBW6YvHHT962gQTfVVtVqtXKcRvbItoOiyOUfTi4rq/h0zZG0faUcS4SH6VJ7hD40s1+7du524RiG9erV+eMPAgoGVBTlly0FPC+NvHrNM0+lLl6abrM1XD5VfU7uoMeLzACAdelO2mxqdLxbmLwsy74zVbZWuLobvge/a1x28+A47qnXD9fU+Ynd/nrZ2H9PiFwz1lKkiPat3w/vvP/mwNkvHvBRAcdhwasDpz2ya+mqs58tG+F2EWVZVj+D8dGG/QeKe3UP5jjGwDcEJqvqs47Gu3UOOnqyBgBio1lFUUwmkzpgnKYxalMAwHGc1Wr1NhVgGGaz2VK7BZ06HXw+2wIAwUHU/JcHkoRks+Obf88/c64mK9esCt/duoTcPrkDjuOu6jMAYJiCYbgg8Czj/luOZQjeJoGLaXWASJLyxIuHdPSR994c+tLrfweeulZRwFV9duWbjQV3P909rNY91tjKRHM2jWX7ACd8RVEKHLiPBfTa4krfLezZ5ydoQJZh6l2/frzsqtTU5EC6hLicSUlJSUtLmzFjxu+//w4A2dnZAFBZWVlZWT8OBw8e/Pnnn3fq5HXZA4FAIBAIBOLSBgnQ/3l8+34crxnaL2yX7xacBqyIfxve0vcFyPNz92za0MFVxrLZbKfP1GpW/nLNaLvd7nA4rFZRPbUkSa46coBYLBaKoiiKUsOfAUAURdVUF/4JIA3QutfH4kogGAyGBx/a1tRnTbp544ZvJsXEBBywp4XN1jRriIslNUZFRTz3zFj18f33tU6bNUWFU8eFrtpYAQALFp7UrNM5iVVKSTkyWrTbnTqyuibnrKMOErvdzrKs5oBpixySBoPBx5CjKMozxVyTYFn27Y/S/arPz87qFhnpboN7EREdXjuc1eeu5KOfe5bjluq27JE7fft06Z169thJ7ckNAA4cLhnYLya5vfFcVp3ZInp+3tQVL4LAhwyIVhRFFGUch/g4LievfjwQOGYX5J7dg1UB+tEHOqvD0mw26/V6URTtdjvuYsThOyEEwzCl5fa4GF1sNKs2vnj+EFmWed5B4DDx2qhJ42NYlpVlWXW9dzgcH6w469pCUnsjjuOyLOOE7sOVBwx60mxp0H9V9bnZ2AX56+/PBK4++2XmVwnfXucuQGuqz4Fjt9uB9mUp7uD9bFa46YbkhYv8e3A/+NCfm74Pi4gIaVr/EJcZGIYlJSVt3rx53759GzduLC4urq6uliQpODg4KipqwoQJo0ePDjyHLQKBQCAQCMSlBxKgLyaKolSUF5OWoxTuEBXawfWKiIxrqhTl1/fjdG3vrsFeb7EkhfB2CHHRwTCMpnDB4TUcLKWTMTPL5DTTcKOqWqipqQsNbcgGtnnrKR+nc0rGAGCxWDiOU3XkwKM+CYJQn+Lp+NySkOpmwHEchmEDB0TuP1DepCcqCky+9cfgYGpAv4igIJrnxYgIdsighG7d4gLPGsp4CV33hmsSv/80iqLUzb7/2qrKUeOve3xvp+qahhE1ZHD0iZOVFosIAAMmdvv5+g0AcD0jeeZnc6WFwfjNwIe+rNPpWtIZiqK+/CH3XLav1wsA/VNDxl7Vq9lnaQtkh7YXUPqIOYRDe40Kqylsyx55nA7D3pt3/b2zNuYXai9uLVl5dsqNjnNZdQCw/3DF4H5GzzoWi0Wn09E0bbcLryw4Nu2ODk71GQAkWemdGvz5t/XZ/DLOmYYOCHE+UX0Q+F6NohLbi2805Cl9aU5vWZYBw50OHhiGYRimzqUURZWU2U9mNNL0s3NNajUdjS2eP/Cx5xoCwGOjmYpKu8PDM6RJnDnnZ6A2ifxCPj9mTLuSgFYEA/wVlFNYDGFxPiqcOevHe0RVn4cPi9yd5udr4ulnf1/9yS1tseiFuMQgSXL48OHDhw+/2B1BIBAIBAKB+NeBBOjWBMOwJt2f0CWrEjAJnBE8Uq6jiCwmxkfHxAfeiN8zWqUgq6jnSG0BMcc2CLkb/pthWUJTgH7q8V5/HyjbnVbi++m792ROnNDP+efK1V5TdXlitVpxHKdp2mq1GgwGnuc9ZWVPRFEMpFqborp8AMDsx3r/vb80EBtoN2prHdv/bDAqWffleQDo1TP0vXfGc5x/GdozNZ9vLpmoqIJjR4mqSgBgtm9eTuv2PPDG4pVZ6qF77+4yf8ERi8UUHq7LlRv8RoxGozcNmiAIH4Jvs41ZvOGW5NANHMdb6P5cUS39udfPemFMpG7ei2P+PeYbKgSlPT4TT3xLOrQFX0xoZgLVZkOSxCdLJt5678baOm25fP0P2VERuqm3tP/1j5IBfcJpSnKbqVTl12QycRxXWWXvkhJF4KclueEbNjPbAgA6GrcL8pfrs8deOaJ5CxI4jn+1oVFKhk5JwTvTSlauPeNWMyaaDTJS57NMsuz+RX/P7e0tFpHjqGmP7JwyqcP4MQk79hS//XKv+R+cTYhji0ubvHnFjbIKe68eIcdPBZQgMRAeWwEbJ/mvBgAU7dV4xxUH42eH0N/7K/w2cv+9HVetyfRb7ey5upKSqtjY8EtmsRCBQCAQCAQCgbjAtImH5mVLk+5MKFwgMHedjsLFROUnS+6PrautnK7rq1kuymR80r8r1A7hRqdOQZrl/fpEzri/+xerR9O0r09xZnZD0FxlZU2dF2nm9bkDNWOcZVkWBEFRFJ7nWZbV6/WkT2lVURQfpr0XBpIkCYLAMEySJAzDhgyO+erzMcsWj2h5y8dPVI8Z9+Wff/nfsk2SZMdkjRBLTUJDLhH1GQDkec87H2OCffhnc9YOO6GqqTMf3pmTawKAx57tC1AvsAqC4CMCmiAIby40JElq5nZrCW4m1G6oI6pJDbrqyAaD4X/v+hk50RG6NR9M8P0RuyiQFKVZbqjJtYRqez1L7S7CNwvD6L5fN4Vltb+IMQysvNSvd0zG2bpHn93nuaFBURSHw0EQBI7jOIYBwKoljeYN1ePCLsgAIHkowoGD43hlVaPFDEVRNv+erz4eNih88oT4If3DAKCklD97vs5TfQaAYYPiauoEHAdFgW9/yPn7YPkdN3fcs796/ssDHnmgxwdvDQEAisLDw5o/IQ8b3CInIjdKyuxHIyf7rVYRMSBAe3eZ1f5ydJKd4395IBD1WeXjT/YHWBOBgH9MpdyspRAIBAKBQCAuZ5AA3ZrExron7/JBj2CvGZPC6GKyeLUoaufzaRZYriXFs7SSu6n1ToFoEyZdr63vHDpcRpL46bNVn628GgAiwrWtMEWXXdhHjuZ7O0unjsG+75FU6U3dou6jmipYX9wYMZZlHQ6HmgrMZDKZTCaz2RwaqouOZj9bNXLBW4NJskXhpS/OPTjp5i/cPp6yLGdm5qelHdu373h6etaffx0WpUDXkOa+OKAl/flXQVS5hxwyB3d/FfZFj64NUlEWHgQAvYLlsZGS75hiQRAsFoumBo3jeKuHCauOut6OtuR0er3+vqf3+q7zyN0dv/zoJsqL1OuGLMtnz2eWOED9V2Diz2ZmCl6MMloOpdOeXizBiWGFBzUPKcbW1C4DhySJd18bqHlIUSAxwVBaXm/NPGfufs3ZTFGU95efHDYwQlGUex/e2RadVBQlKrLRW4phWFREvSDerXM4xzJZedYXn+y99qOR3hrh7XK7eAOGYcsXDgCAqhr7qnVnv/0hR5LkhR+eeOKFfXfe2umjdwe98ULq2o9GdusS4lyqZBhi3OgEAvc/nk9kePXUbh6z5pV/Jtyp+P7l2evmQJvT+kiSoo0Qm7w09fW6sX7r/Lat6JLZqoJoOxRFKSsrW7Zs2ZQpU4YNGzZs2LDJkycvXry4uLgYKdEIBAKBQCAuc5AA3ZoEns2vvf4MjvnSpyjcIRVtaMVfq5X2GEVxv1uLtq1nSlZUZG8XWra1HNF2xMdpB9LKgAmCkJNjXrr8JEFgi94ZpllNFBuGWXaudlqw6fd2DWS1QxXgrFYrw/jM++RwXMS7dNU1lSRJt2BVm01a+PYQh8MRFoqv+eTK1StHxsVx3hrxS3m57aqxa/Pz6+0Uft58cPiVq++a9tvTzx188pkD02f++eLcI7m5AbpmY/37d252T/5VeEtZiZvqXs56+46JkQBgNFIy4ABw2oTLXuyD/aIGubfqEl19swCA4zjzDzqdTv1fp9NRFNVUDVqtT1HUFz9k+6hGENiyN4fcNFFbNvWktLy8VMSC2nds6DnDBiV2rAIqu7i01Z1JAIAkSc2vIn1tHublS4ozBGuWXwBSe6R4i6BNP1OzaUv+onmDAaC03FZr0ghpl2X5iRk94uKMr71zRL3gek47Jn3/4fJmpPDFMIyimIKihhSFrz7fT5Kk2Q/1IAgMx7Erh8dec3X8my/27pIS7GPIfbL27OlzNWu+Ossw9cp1bAyjKEAQ+FOP9FyzdMQVg4LV/Stms/mxBzp+9O7gqAjmmcd6iqJ804T2q5eOCA7ys9qx90BleJjXyXxgv7AmvnQAgOWf5U7ccJWZjbfRoSKucxs9dUGdQsIjA21La+yJJCORtOvR2BjO72y//c8Cvx9uJB4ifCPL8t69e6dOnRobG/vwww9v2LBh3759+/bt++GHHx5//PG4uLjJkyfv3LmzLaZoBAKBQCAQiP8ESIBuTQILylNSQ/aH68r8thZEVRfk+EoZpxK4JoJh2vdP8cw5Q+Xq8uJzAbaDuJCkpHTQLF+05Pg9D+z8aXPudeMSZVm5874/NKu53jMLgraBwJBB0Tzv37BVlXQVRREEwbfscrEioEmSNBgMFEWJoujqY8AwDE1jPM+rm2F5nhdFYcG8wWs/HTX9vq4GQ3McDyRJue3/fj5zJv+1N7fOm+/flMMbixaOJMlLxFSUt1o1y9UxeNOvry15vv1Tc3qqhYIMDMMEEvDrtg5HURSO44GM2GZA07QaQW+z2Ww2m91uV/+32+08z5MkGXgiSgCwWCyqfv3HHq/WzxSJrV8xvkvnDgG2WVxWroREepv22YjoIou9LUzYHWxo4JUlgjYYA7WgaQsWvt7f26Err4gNCabU9++r7zI1R6DFYhnSP+ie21MUBQb3D7NYNZY6OJbo2omx8lKThgQAUBR7/2O7XC04OrTTW61Ws9k8f+6ADxcMUTdtkCSpDvyUjtpGEyczqpMS2eMnq37cnEVRWL9eIY9O76Sj8feWHgMAh8Ph+sFR5+1+vcO37ywSReWRZ/aWlvFvv9zbd1dpGncz1MZxuOPmRNU16MDhKh/PHTIwytuhyiph7OL/Z++8w6Mo3jj+zu5ev0u99F6A0ENHkCqKiiiCBVRQVFBAbCAWFBXBiooiXRDBriAWfqggVXqTGlJI7z25ftt+f2y4JHd7NQkEnM/zwHO3O7s7t5md3f3OO983ccTybkNW9x+0dsjkv2974ezdi3ImfFRyb3HiJACoqKhatmL3w9N/uuv+b198dduxE1mimh0yuxrkQ4aG8O2SUmNxsXjXZGPturSvv7xJ+BwcJI2KFP+btvqgF+Z64sCBAyNGjPjuu++cScxbt24dNWrUtm3brnDFMBgMBoPBYNoJ7c5r8lonISEhOzvb+Xqud9ABz/eWLP/HAt1cl4mNjc3Ly/NgZ66idxCCaPi7oJgLjezkefUwVwDXYm5tnfWV110ZUyYnBtg+c6x4GyivMGmD3QxjyOVyW3wrx3Fms5miKGdv41clhZpEIpHL5UK4HwBIpVKJRMJxnEKh4HnesUomk0kikYwcHtW3j/bJWf/4dtCp0/5qSZ1fnterT+/kluyhfeHs7y6RAm0FgLAPX6I/+gouxz2XmFGEXE67M46wE6BlMplvmd9cQ5Iky7I8zxsMBrVaLXoIi8WCEHK21hGO40iS3Hek5Lbh4c7KPDop1d/fjZWtjdraWhToJj6UkisKa2vjggNcF/OW+ui+2swdHhY2hKZcTfkZILVnCsAJ0VXL16V9+Fbfm4ZG7txbfPzfqtnTuzprgUGBMgB46L5OT02Tzn3tSFlFs4D9z94f9Osfl7ZuK/5yhRf+8iqV+uGZzWw95LLGWH61igOw8gAqlerL77ImjU+Uy6mJ4xM/+PTMwlf6XMyo2/BthkxKWqysIHBJJJKPFg/c8E1aeKj85Jna8krLvKe7/vK/gvmLjndM0kwYm8DzjTI3QRC5BYaLGbWjhoVNvr9TUYlh78EahZycMjF5YF+twcj9uj33ryaZVwFg/B1R3/zQ8HShkJMmM8txsPV/RSYT+9b87q8tdpXcdfrUlKzsWpOJNRjdDIdkZeuzshsuqB9/L02MV2XnNirLB49WHjxaqVYdWb/ylojwZo2fMtbTCqdDoZaKCtfHteOBKX8LH6qqnTp4HD9+dtAgp2MbmP8yBw8eHDVqlNVqTUpKmj59+qhRoxITE5VKJQCYTKbc3Nxdu3atX7/+3LlzEyZM+OOPP0aOHHm1q9yaCJp7fX19TY34TLurjm1UwGQytTCf8FVEeBwyGAxGJ+P91xA0Tbfb1uIJHMfxPH9N/wRbsEJdXV17y33tOcIfoq6ulR3DriS23kmn0127fwiB+vr6a/0nQPvunQQ15lqfSoUF6NaksLA4OjpSJpOJPtyoqbqOfme83mf2qehE8RSCAs6SdNkRIK1yWyYa7a41RiuVHu0Qc8UYMSxs916nEZRuth3e6P1tNIkLAX/uLHjw/ljX+6EoqqnBAsMwLmS4q9It0jTdVEiiaVoweEUIWa1W0YR1wiZqlXcBjK3F22/1Hz6s+1U5dBuhUChEIxIR3XjyJXxjIzxZS4wJF2mTarVaEIIBwK47lcvlotkyW45CofBEVhZGOIRRDWeWIzbUavWxE+X1Veb5z48WfSBjGMbDmMrqmhojKaNUHsnKMr+AyupqbZAvDglO6XkbeCxAczfNaM1Dew9BENOmJK3dKJJfrrrG8uriUyFauUpJGYzMzj1FN/QLEHW70qglI24M16hJnU730rM9n5t/pOnaR2fvFz549ahdV2/fEfn7N3pc8DxPEIRSqZr61D6Og4NHyx+8J27Y4OgbB4aGhyoiwpTDbwxHCJ0+V7Xks3MA8NrbJ6uqLbYA7emPdI6PUU9/RDnrhSP5hQaKIsfdHmHrjUmSvH9c/NJV53fuLTtzvu7hSR06d/QnyfjUbmqTyUQguP/u+KGDIl5dfNJWn+zsxivCZG64VE0mFgCaqs/LPxyEAK1Yd8FgtOZc1o4fnemjfXZT9dmG3sDcN+V/36y/JSa6MdNGXGRYlnMdqbTEl0kSEglB087vXwjPGsSIs2rVKqvV2rt37wMHDtjZlEml0p49e/bs2XPWrFmjRo3av3//smXLRowYcR28pdsQfotUKr3qaaidYXtEpCjKw1wL7RBhDp9EIrm6qVZaiKCeEwTRbluLJwiPptf0TzCbzcITgkwmu3a7I5qmGYaRSqXX7k+wWq3Cu4BUKvUwCXP7xGg0Xus/QaA9907XRzIJLEC3JjpdHUBkUlJSWlqaXfuIV10MknkXjyOQID9KgysBGiEUHh5eWlrqej/+EvcCNAKQV28B5WTvqohpY56ZNXD33l982DDAXxrcJBBSbxAP9Js8qSPHmYV7hqimJqo10zStUqkExaTxEHo9tI95yrYfotFoRNVnGxRFzZuTevpM2eib4z785GxRUZvomzYiIhRznu06oH+3a/r9QRTX5uACVFUZqBvbpJFplvrPNpzG87xKpSIIguf5pgK0RCJxK/u2BJVK5ckjrMlk8iQU+mJ67UdLzwDA+Qvfrl/7gN1anuc9vFKKiosJbQTlzbO1WdLKwypK/6CqqH7BRU5z59qgpWr/AC/8OtqISfcOEBWgAaCoxBgXo37/zX6zXjiUV2gYPCBI1LTEZDI9cG/y+bTaHt2C1c4f+DxPNwoAAf5SpYLs0TXg9LlaQdJ9ZnqXpi2c4ziGoRPiNJdydGYzu/G73I3f59A0v3Nvwy1+06phgvoMAPmFzTqrBW+f9PeTzH++s4RCNMP/8XfR2FtjNWoJALAsT1FETW2NNlhWV0+XV5o3fZ/5/pv9w0Ia7fItFktQAGxcOdRi5b7bnP33vuIjJ9w/NgQHyUxGa1Wt9ZknU77+ITeniXw8d3a3JcvOeX5y3DJl+o6/fplkE4+UCgWYzc5E4Y2bfHEVc6U+AwQHXTVnc0w75/Dhw/7+/l999ZWL+6BUKt20adPAgQNPnjwpzI+5kjVsU4T7plwuF4K+2yEmk0kQoCUSSbutpFtYljWZTO1Z6PcEQYAmSfLa/UMAAMMwPM9fuz9BMOYSHr/lcvm12x0ZjUaWZRUKxbWre9peB4R8M1e7Or4jpIlq6oF5jdKeeyfhbnvttnaBa7v27Y1L2ToAQAh16dKlyTMo3z3gsGv1meFljhkCBQjEl+SnuT5ucHCw2zuHJ67TAKAgDa7VOsyVR6sNCvT3Ja3fY4900dODuAAAIABJREFUbqqm1daK/2Ufn7nXbKZkMpljd6ZWq1UqlTM7AmEaoL4JKpVKKpW2hQWtz7jV+BiG6d0r5JEpXQMDqYULen67adSwIWGdOvojBGoVFaKVKxStdisdc1v05u8fGHRDz2v3Uc81nJ+bEF3Gv5k0ubuy2T0eIWQwGPR6vdFoNBgMOp2ujeKdHUEIkSSJELK5uLhGKKZUKkVTbiqVyqoq/s1Fx4Wv/56uuemWtXZN0cNZwDW1tWRIpLeRHZRc0Yo9eWl51YS5Ox7c2fHWtAf393jWrNS6GH+vv3txax23JZAk+eiDic7WHjxafuxk5R2jY/YeKGVY8QtcKpXSVmNSgpznQa/Xb1w5FABenZO6ceXQl57tkpzQYP7AeSNAF5cajSb28PEqgkQA0DHJLyK84VFBGNJACFkslrlPNcyNoBmOppud7MlP7rXbp0JBBvhL1SpKISfr6ul5b5yhGT4pQaUNkink5Ml/q0wmE0GATqfr1ztcraIAACF4/83+er3esa/W6/W01ThhbPjGlUM3rRkeonUzqlRVbZn72vFvvs+a9vShPf80OnhMuic2tYd24+qhLzzTAwA+eqc/ALTwgZlh+E9WNAZWI4TCWKf9Q3mF7yNVztIzhoZe/ZEVTPskNzc3ICAgOdmNp1Z0dHRYWFhhYeH1EcSEwWAwGAwG4xVYgG5N4uMazSuSkpLi4+OlhLl30D8Swo3JKctLWZCYeXHbTC361+2hU1JSXEpaXjzpluaddF8IcwVBCG34fIwPG952a9emX+t1Ttvh03MPcBzfVLFSqVSCKYFXCqCQ5a9dORO5zVZHUZTVatXr9QzDcByn1+unPJT00gvdN30xYvmng95d3Hv18sHvLB7YKlO7tm0vbFcnp9Xh57/jpoDUPmxnexmlupzT0vHkXLG3dJZlCYIQmoHrHJtNESIvHMsTBPHSq80cG2pqraNuXa/XN1xNbp2vBXieN/oay5xXXOK+kAeYTOapbx60/RkWf18x7sTo6VWPHkycrAtK4pvHnxb2fTgoJKxVjtty7h7bw8Xazb/l3H93IgA88/Jh0aBFoevgOI7jWJaTIoQWvNC1Y7Kf1Wrdd7AiK6dhlOLQ8QpAco1GQ7NSWwi/RiwHo1qtfvuj0wBAkshgYACApjlbRD/LS6fM2CdEjhCIHjcmRrTaAf7Sgf1Cx46OoSgkl5GbVg377L3+Sxb2/vTd/ss/GLBx5dAb+oUCwKUcQ5/UYJIkOnWQC0FzCCGj0Tj3qZ4AsO7TQW47dqEzfO/N3pvWDI+KcBoJMmViPADkFdobkn77U/5D0/Z8+1OGTEp8/fkIhVwSHCQbOqjRDD04yJdR1V+2FTYdyAkP0RImseEinrcT7r3CLvWiDc97Bsx/DbVaTRCE28gvgiAIgvDQOg+DwWAwGAzmOuOaD5JvV7Bss1dxlUrV1d/9hGUAkBE6AEBOpBYFofdknnZKSkp+fr5Op3NcFaXI8aQaAh3U/1pgoOflMVcArTbw1Zd6L3rXi7GBsbfHKJqrKv1S/VOSmugIqOEfABAEgVBjsLBMJhOc5nyoKkEQHopr7QSz2WxXYY7jOI6znQ2LxaINgm82jnp2zoGycl/OSVNMJovqKrlOXwFievUpkiuQ2elZqmHtVSceYHcFOSxIYTKZzGaza1+LtguuZxhGaAYWi0U0qNmrKmXn1DsurK+nb7lt4y9b7gsODvTwh5RVVpIBbrIOOkMdHu3bhk3hef7FpSIpOgvKLQu3AcBAgIEje6qHR9R2sKRZg+IjB9za8oO2Fn5+miEDQ/YfFp9+pNMz2Xk6ikIMw6dn6RPjZM7+KDzPz3v9mMnMKuTkraOipBJyQJ+Ag0cbdrtuU+a6y24PG1cO1Wg0PM9/+NnZZ2d0JQgEl42JBBLjNP+eq2Yv54PVaCSCBQ3P835qySOTkm19UXysSqkkjQ4Z/F6flyqXsTzP3zoq2k8j5XmeJEkhhSZJkjqdbsajKYeOlQPAn7uK/9xVvHHlUGFuik6nY1mWYZjPP7mRYaxuh3aECTGCgf5br6aSpCQnt/7tj05rg2TFpY0X+Mbvcl3sZPuO0u07SifcGT/+zgStVp6VoxsxJHT3/nIAUKsoF+n+XFBUXBkX2yhkdw0PPF9aw9llI6ytdLZ5Qrz64yWjxt2z1YdDXwcTSzFtRI8ePTIyMmprawMDXYXJC/N7OnfufK3Pn8VgMBgMBoPxAfww3ZoEOfgDOouaZHmCRJzDEtrKyaSE/bxskmBpnvdkCnZsbCzHceXl5dXV1QghhFBYWBhjNYRxRV78DEy75LbRqQjBW+94pEFLpcTzzwy3Wzg15pBfXbZjYUamye0/p6keIZFIPHEhsEOhUDAMc829onsol+v1+o8+uGHL1pzNP3sxnOOI1UpfxwI0QRCyT9Zbn5jkrEA5KzK33cyhPLMkQUUghFxYpshksrYzgLZ1sGq1WnQYzwVWq1WhUNgGbFQq1fwZf4uWNFu4Cff99Me2yR6qD1aJwrUWzjEMQZKidxrUGjYvaemXMgvdDLrsOq3fdZoC6P7mtC6h7SwJzPNPDdx/+Ddna1+/3J2+98mZ99/sp3YS5osQKfg1m8zsz7/nuzjc55vS9x1sSBj72Ox/WI5/+dkeMVEUQkiwF6/TWQGAJJGgQZ+9ULN8XdZzM7oIjaei0kxRQQzDEARx5HhVoL/UaLQ/+fMXn1z14SCGYUxmfvKTezetGmax8M+8/A/H81Yr98ZLvRQKNjBAWtPEcAkhVFJmCA6UWSwWz4cVmz5yWK1WAGt4GLnmkyHf/JjFMJXllR4ZyAhs/jX3wOGyD98e+PhT+6qrGy7hvAL7oGkPOXa8sKkATRBE98jgwtKyKkIJkobLhXYS392ls//qFXeTJPnyvF7vvH/KtwpgMI4MGzZs375927dvnzRpkrPHdZ7n9+/fn5mZOXv27Gs3XxYGg8FgMBiMz+AR+NYkOTmh6VcXc+3t1GfbEkf1WcBDt1AAIAgiPDy8S5cunTt3TklJCQwMDGX+clY42zJEdDm2gW6f3HpL6pbv7lIp3Su8m78dJ5XaK30qg/iU/IIBc1rFF8JqtZIkeR3H9RiNxvHjEjx8bfTTiLuIIuI6f+0MTerAvOLUiKPeid/uRT2BENLr9c4kZiE1R9sZmAgWHHK5XEiP4xVWq5WmaYWiYVyhotKVSr5m1S0eXiMsy0pVbqb8ExTldJyzNXhp5UXPC6/cnNV2NfGNoKCABS/0dF2GJBAAvPzmcWcpR/QGT2+INvUZAFiOB4BLuTqVSrVzb9WUGfsAICdPDwC2CGiehzPnawT7rMoq87YdhUYTkkgkNE0/OTXl7df6ObYUo5GZMmPfzLlH5rx6BAAmP7n3iecPmC2s1coBwBvvnnpu/rEunTS9ezSGYapUqnmvHz97oUatVnsV3e+I2WyYcGfkwlf7etXoEAKChPTM2tWfDDGa2AUvprakDmXlIuND0eFhPULUXTVkFzXRzY/q273ThnW3hIY2zgGKi1WtXzNq7aoJwtm+Y0yv20ZHAYBCQYZoZXFxqq6d/Qf0C755VIRCbj9yEx2lfHZ2yrOzU1pSbcz1zZw5c8aMGfP444+/+uqrosM8NE2/8847999///Dhw19//XUsQGMwGAwGg/kPco3FKrZzWJa1Wq22FzwPny95HjigSMTUsVH+pHioMsPQAG5yATlDSjh9eU6U7RddbjDopdIg3w5nhy2uFj9ttwphYcF/bZui1xvWrj+8eWue4yzqsFD5txsnOCbI5nmeYkReiizqCIPJjBCiKEpwP0AIeWu+IZPJpFIpwzCCiufVttcWRqPxm42jHpiy0601sTPHbQl1JdIP8p7NmWgj4kfeXBCXCDMmoeZ6Me+8SrGU6dG5x9cvuUEIvZfL5WazWRCdLRaL0I34EJXvOSzLCr6cvgVZCwbiSqWSpul3F55wVmzZ0hvj4yI83GdWbq5/bJLrMhxNW/X1QBBy/9ZPj1ZbV0cz3uQPqLayLEeS7asHuGlEj+07C46dqnZWQFCKWY7/YNn5ObM6OzaAQ8dc5RB2zQ9bc37YmgMALz2T8tz8Q44FbHJnVbUFAD5ccX7+cykEQQhzmJwNuJgtIm4hEgmiab62znrgSNXY0REnzwAATJmxT62mHp6YvHTVRYCLX64YihCiadrtWI6zAjzPA1g2rRn+0LQ9CIEnJu2b1gynaZqiJAxDR4YrF7737+CB2gOHnbpkCKhVlN7QOB9CKiEWvNh12fKLFeXiV6hwF7N97dghZutPDzrbOUJozO0x2/8sMplYk4mF5gHd2mDpy/O6X0irXbfhEgAUFhmXLruIEEyZfJP7X4v5D8Dz/Pbt2+0WTp48+eTJk2+//faSJUumTp06cODAoKAghFB1dfXx48fXrVtnMpm0Wu0jjzxy6NChW2+99fp+WMJgMBgMBoNxBAvQrQlJkrfc/vW3m8ZGRGjBueRaxnYNI8/bviIEJDAA4Ex95nlQuYuDc4bJZLJXIj2A51rBaFVfV6M783dU5q/CWagOTWVTxwVGJWAluuWo1arnnr7puachN6/IbDKVlpqysut69Qzp0CHSz088lSVCiAeEHNJR0opgAGBZVlD31Go1z/OeJx4kCEKpVOr1eluQ/nUfPq/X67/aMHL5yvMHD5e5L+2ATNaiCETXWGn6VEbekQpexxASxKcGcv2TIwKcNIk2JSYpCf46mp+Rzn23AeVd4hM6SCY9GpWYGHEqt4SxPwME8D9uOA8Ar390+sUnOygUCptlgV6vl0gkUqnUh8Bkr0AImc1mFwYgbuE4zmKxIEQ9NaOTzWegKUmJ/qmpnTzcG8/zztTnpqMLiEAEbZFow0VLtpBPvnaf/9YOlmVIsg1buG8sWTxm2O2b3BY7f7Hmg2Xn5z3dzW4EziKm9npLfpGxssq+b6QoNPWBeKHV1dRaACAyTCGTyXyLam+adq+kiUqr1zNfftcQnP7wzH0AEKqVL3q1D89ZXXiRu1ao9Xr9V2uHHzhcunKdfYw8RaG5s1Pe/ThN+EqSCCFktVr//Lv09luii0uNACCozwSBwkJkJWVmAJDLSbOZFcoH+EtkUjIgQGI2s0kJmq6dNOs3XKqptb786ikAUCha58F17otOU3RUVlnnvGg/jNQrtXVG5THXATzPjx071tk1YrVaV69evXr1asdVlZWVU6ZMAQCaprEAjcFgMBgM5r8GFqBbE4RQXKxqwv2/rFo+okf3RGfFmqrPnmDlFD6LtkajPsD7rVRqP98OZ6N896aInB1NLbGDyv+Fv/7V+8URd8yXyX2M5sbYER8XBQApKTB8uPvCJlWY0lBqt1BdcU7V5T7d5dhSs9lMemwdS1GUTCZr07jU9onRaHxiWqenZnZHCCwWds26tIOH7E+sKB07+LWdR3Z6XuFPmRYAJOSWpHl0rJo8drS8k6ZkfL/kq/KuG9uxEyxoZsdxZ2rclyeKzHzTyvD1xzMLSkwAUFBsFMKQm7owcxzX1uqzQMvHxgiCeG7uoZWfDZu/YIfj2g2fexE+mZuXr4iKc1sMkZQ0NNKLKnoMx3FHLoikUnSNxUK30OShjXjzxe6vv3fWbbG0jLq3Pzozf05PW5NDCFlplkDAeREL3siAPkFHTlQDwDc/NZhHjx0dsWNPmVxO1dZZGYYPD1MLeS+37UgHgCMnKu4YHaM30N06B52/WKNSUgajL4Mix0/VhATLKqrEzbvKK83Tnz3QKdn/mSe7UiQjOu7iNkshAAjqc7/e2mMnG8OZOY5/9+O0rz8f8eDju9VqycqPBhkMBrOF+m7zpe82X7IVe+/N/i++flRQnwFAUJ9DgmXaAMm587UA8PiCHq8vPJN5se6P5pGmBYWGrb+eHDI4MTjYh6ebBqqra4Ujes6Ng8J8Phzm+kMYrb/atcBgMBgMBoO5lsDD763MrbdEAcCTs3YXFVUAQKGpQ8v3aeTscxt6jkolHvzo+rHZ0cDBKwxbF0XkiOgvAKCuz5N/O8Og9y7HF6ZVqA3tLbpcqiu2fWYYxnPDcalU6nms9HWG1Wo1GPR6vZ6mTbNndvNwq4cnd2mj+hy/kPVTpvgfLl1Hrt5/qZ28KhMEcV+XYGgSiR9dV/7H7jIAUCrIm+5KOH7JvnNwEaTZinAcJ5GI23Z7jkwm0+lphhEPiwsM8mJgjwpwGm7JWjwyCeFb5pedX1jirMnMnxzTM1kluspo9iI33ZVk6JAeFOlqgGHTqmHCh8xs3db/FRCXoSjqyPHKu26Pkkp9eV4S1Oem/PZnidnCBfhT3Tv7AUB8rD/P8wRBMJfdTmKiVB0S/QEgPFSx/IOBABAWKjJkGx+rjAhzNZRLUShEK7P9rs4d/ZcsbHYLSM+qmzn34N/7KuQOQ8IIIbceHQzD9+4ZDACzn+jWNcX/vrvjZz7e5fmnug8eEDZ5YhIAvPlK7+VLBplMJoIgauuaNQyEwN/f/nLr3TPQaqQF9RkALl4UH/+wWrn3l5wae/fm6TM219Z6PUYiUFlZ4+0myUkhvh0Lc/1BEERdXV19C7jm0jVjMBgMBoPBtBwsQLcyvXvHCx8efPh3nueVof1avk+zarDP2zq+WAro+VBnm1Rbna7yhPIjv/tVZ7goQPCs+sen2y6ZGMYZ0uQbRJdTpmrfpDfPY6Wvb/R6/ZDB7o195XJy6JDObVGBouLSP4tdiWvVNLH5aGZbHNoHVCrlrZENLaenTLd0TQYAdO2oieoTcbrAQiCe53mZTKZQKORyuVwuFxzGpVIpRVFt+tLe8vacl69747V+Dz3yt+hajVo8x514ZeROC5NNQoxdjCsggmhJN/vNHznOVi3eVJCeLx6TrlYpfD5im0IQxFdrbnVRYPKTe22ft27Lk0oVQtuTy+UAfP/eQf5+IpHdBIJnn2w2zPzC7O7BQe5HcHPzjWfT6gFg+nMHSiv4tz86GxLccLN+ZNb+Oa8dybxU9+wrR6bO+ueu26MZWuTvmFdgtIUPO4IQTJoQ+8Gb/W0t5JXnU8NCRQakv/85x7H/90SANpsNMx5LXv3JjbPmHMjM1t01JmHQgNCUDorJE+NuHBik0+nCQgiTySCTKRa+d/b1t0823ZbnQakgX5vXy7Zk2sNJJ45VVNc0upR8+0Ou6wqcO187bsLm6upa18VE2btf3PGsc2en4/09eyY4W4XBYDAYDAaDwWDcggXoViYhvkG9tVq5PXv/Vao0tbS2JTtkOElQsI9xN/V1tdSxN03FeiNjLwpoiHJnW0nCx/h2OABgWTb8/I9uixE8a/55oc9HwfgGKRd3Erf6RfkmVLXEMPc6486x8W7LrF15UxvlZ/s+3b0LSrqOzC0U11yuPAnREZ2U1kSp8bVF/wLA2FFhNf6aif015qxKS61BEL9MJpPZbDabzRaLxWq1Wq1WhmEYhhE8OtqCFrZnhBBNc8lJnk5YKSsvzy4ozKuoyi4sys3Pd9yb4yY8z/EchwjSdTEbBYWFHlbGkQs5ruapmK3iwrekHYf1RURo77871sPCjz29f+pT/3y29sLPv+cumt8zKjJwycJ+G1cO7d9b2/SUczwsXdVsaGfJsrNCOkFPCA+Vm83swvdPhYUqwkIbb9N19fRbS/4FAB4gNkoTFCiifbue0sDz8NGKjLkLjj4yaz8A9O2lpWna2WSCIyfsnwcIgvBk5gHLsjxn/nBxr6Xv3vDorL0PTdtjpUmlUimo3kqlsq4ePTJjb36hyEQZgiA6JGkC/CUA8PqLXVetTvfhLmSluclTf/NhesfBQyWiy9PS6gAgKEjkhMvlLZoZhsFgMBgMBoPB/MfBAnQro1I1hq3NX3CS53kueLSLl6MSU2yNNcTKSRmO4ngRKSHL7GP4s9Fg0GZ8SAKt4GqVpZnpNd08eUersoRJm/hvcBzHsqznb3fVBVmOae5E0dRlFx/f6eFuMa2CVCEeUxlz5GOKMarVXie6xBHQNqKj3Kiiby7ok5QU0xaHLigqNrEemRf/kmlyX+hKMbJbwoZV5yQUWvRCFwsNbEGNhQV5snZLmoXjOJqmnW3YdllMWxhezfN8TLTaYmFJJ1YPNTUNdgEFRUUlVp4PDFWGR8sCgpVhUfKI2FIaCuuN+YVFJrO5UG9GYp7dCBGiy53BgO/nSm8S0R/d7o7j2/XUlsemDPSw+fA8IICwUPW4MXE0Tev1eoPBoNfrH5kUu37Z4MCARoFSKiE2rRomlzd0hqL3P2fuH6WXUwUmJfilZ9U9fH+j67ftrrtsbVpmto8++5VVFo7jAWDC2HiJRMJx4tXYui3fLghaLpd7ft/nOE6tIi0WDgCemnvooWl7Vm/IWfxh2pQn9r34+jFnu5kz/4jVav1syeD7x8W8vvC05z/Kjpoa64kTlxiGOXc+Z/eeUwcPntfrjS10HKqutk8XKZeTLbfowWAwGAwGg8Fg/su032ClaxSSJGOilQWFDdOTn5/729KP7iqsHR6D9tiV5HgizTJKFplgAKi6vNBSlhvO/ysnDZff9FFCUornR9fp6vS5hwKtl3hEyHhTUy24k+GPWnM0qfXXSOpc7IEFaWnOQblfPCKlRO1BrazBHbjcEg3+/f0D3bhzUGl/eV7bmDMbi1lz2IA7PN8E0xLkcrlV6i+1ijSAjic/AUA5w970PKOgWq3+D6YfdIYLwTQwUPrpR0OTktwnlPONXbkGD4cS9SyqqKoOCXZqLnyFee7xTu+tTb+YZ6iWydlIcv3+hpb587Hq27ornQVgOhOgCYJACLXEMNpoNCoUCpPJd5me46xZ2SZnEmd9vT48PCSvtFweGiVagFIoQaGsA6BaaWSHkPiYD5DneQstIuG5VfVqanURYe03UFQmkz0+uePaja5MomwQJJo0IZFlWZIkm7Yrk8n06bs3pGfVSSXEb3/kPzE1RafTLX+/v0Qi+frHS/mF+s4dA1QqiUxKfL4pAwBeeKrb738VpGU063gD/CW1dfTdY6J+3lYEAIeOlfbq5levZwCAJBDrZcbDqAhFUUlju13wQpeFH1xoWiAyXMmy7DsfnxHdvKTMKJfLXXRiLlAqlXkFBmtJs3j5U6ernJW3UVFhErJNaDSybzfdPH3mnvp6XyoAAM/P28cwe5ssOBwTrVy9YkxAgFPX9ahIdXqGF/7RQ4fgDIQYDAaDwWAwGEyLwBHQrc+A/o2OGUePV/7624nQqJQCZlDTMjWW4EzVZFmEvaWgLCy+JnxcSciDJSEPlIQ8UBIyqby8wpOD8jxfc3az9uIH8eZ//LmSALZIydnnPgpgCzVl57Nrkl3sJ1RWECc/E2b9NdT0k019BoBQWWGoeYsxbzNN20cGNUVq8S4jUOT5HyoO/txO0qP9F6iNGya6HAEg4KOPL/c8/6TV6qol/NegaTq1Z7Doqt+3PtR26jMAlFu8iHLNKm9H+T8DAxVUfPAfWXRuZTPh6XCW3kU7NJvtfW8JglAoFCRJyuVykiR9DsxnWZZl2ZZEWLMs271rkC2bnAMov7RMrvVdybLqxTtYU7WT24SvXStCSEq5Og93DxM3Pa+tF/eGbj9MurevROLRn5hh+Edn73tk1j9nL+jtWoVOp4sMI7RB8OiDcVaLEQAsFoter7/rtrBXnk+9Y3TUzcMjU7sHfrliSOeOmr0HSyeMjWy6uVxGPPpggp+GEtRnAECI6J0a/tfuspBgmVfq86ZVwxBAU/UZAJISgtd83Gzu1MMz93229nxmtnj7EaKkfY7wXbD4xFvvn/J2qyGDQz9fn3bseNnqtReNRnrpkht9OzoAOF5xBYXG2+/80UWmwY4dApytEu0AuqSId+8YDAaDwWAwGAzGQ7AA3foMvqGZ2PTuB//+e/pSaEyPUtk9gslGprFvZdgEUuYqf70Nsya4XteoGfE8bzAYqitL7VSY+rPfh5s9egNMNOzRFdM1Vl+cqQOlFYryDWbnEYIk7bX6EH7x55K0Ez5UBuMDsq6jXKyVGso0plJP9qNSqbABtB1K5VWYUMKyrNXJtHpRLjpMLb+KJCfGO1tlcd64aJq2s4GWy+Umk4mmaSF4GSGkVHqR7q8pVqvV520BgCCIb77LDAwUV88RATJtuM87BwCpWjyiUxEknieANvo+R0Eb4EqO7N1J3Oo6JrJFOQ+uACRJvjon1cPCNM0DwM69xWUVnFqtdhwXER09nTn3yMMz9639MvPhmfvTMnRHT1Yu+jBNWKVSkvePi5k2JfGjFRn1usZWnpFVv/CDUxQFz8/sKJc7fTCTy8mJ4xMpCr3xUi+pBAHAq4uP8QAyacMmo0eGb1w5lCCIGXMP2m17/F9xNfalZ3t88dmN0Hwah2NWAMGjSSaTEc1NYMxm8xNTvZinZWP/3pKycsNHn5y9Z3zio9P37D9QvGbFwJde6PbKS7192JsoD0z51dmqHj2cNtSmf9Ke3QOFDyOGdxAvjcFcxmq1rlmzZsKECR07dlQqlcgl+AkKg8FgMBjMfxAsQLc+nTrZSwwzZ+/R6w2BQVprxPRz1ttRVB/Pg+wQQjWo4aW3OOOY5PjCoAvvROR85n92EXlsYenFfQCg19WHWs55XkMNVxZQfjqr2pcXKpLgNDUbncUsWxXis/v1Glepn2IOf4rDaa8Maj//0o53uygQevZrhcI+ZaUjBoOhJTrddYlggXqFcfYS20sr3rdb25NDL0KoZ4z4ONwvJ6oJ52bHDMMIXahUKkUI2UoKnvUMw1zFSRVjx8QveqO/6CpFqBsLo1YnMtx3vTs8yNVkiNfWXBRdLpP6aPpxJRk+tJtWLMucMy5m1r3x3qkpM/a98tYpk5niedmeA1VFJaxarXYMt9fpdJ++22fNxwNmPJr4zBNdHPf2/daCZWuzHJfTNF9Xz7z81lmzueEq7der2f30gXsS1y69ccwtMZ07Bn666oKV5gEgr8AIAB8uGvDU450A4M9dpQCw/usMlvUM9OD9AAAgAElEQVToEggJlndIVBmN9qbJjlY2FotFqVT+uDVXKlWoVCrbD+c4btCA0JBg73xXxt4SQdP8+Qt1AHDH7XGrlw87crR8+szD7y0516Nb8GefNERDO7NT9xC9nvnt95Oiq0K0Tt05bCAEp882qPYBAZqW1ARz3aPX68eNG/fEE09s2bIlMzOzJVZOGAwGg8FgMNcr2AO69dFqAx0Xzl+wY+mHdyGECO/ndxOUJLekLLx0awJT0HQ5BdY43V/8sb8kpPhsaBcg4JONu81mDR8arqC8e1AmEG/O36yIu8dxFR3aCcpFsgmpdflu6rP5JZj0kVfVwPhGyMBxXOZvBC8uXFKMMfzS/wpib8bhOd5SV38VBlGc2U2cqnSiNLczt5tpoxOf+vyC4/KTOYb7BgQZjeIzKiwWixCPqdfrEUKt6EWuUCgIgiAIwjEC1BM4jtu1p+i7H0TkxWmPd2QsZonSTbLKVoTneR8yi9p4/K7kmR9456sgoRDVWvbVbczmr+6//Z5vDEbvHMPLKsxzXjt6+VseAKR2D3p+Zjee581ms0205Xle6D/7pGo3rhwKAFNm7Fv23g3zFx1nWW7TqmE8z3/xTWa/XiHfb8nOK9SPHBpx26joFxYcsx1o48qhJjPLsNzwG+t7dNUCQP7F4rDYwNwLBf5S9rF7wlZ/V7T0nQGfb0q7f1z0rHmnXn/nZIC/BAC+XDn0x19yd+8v8fAXLXmrv8Gg12g0ttai1+tJkhSGhCUSiVwut1gsEokkI6vurfcPAcD//ioCgJuGRdx3d7QgWxuNxo/fveGhaXs8PGhqj4CtvzY+zMhkpExGLpjf99XXj2Rdqn/okZ2bvrjpu69ufvyJ3Saz75buAmvXX7hjTC/HIf+oqDCCANdXuU2Tpyik0fh+KWH+C3zwwQfbt28HgN69e8+YMSMqKsq1oZmLEVYMBoPBYDCY6xUsQLc+FEVptbLKSkvThceOV5nNFoVCrlEqLWJbseWFZGi0s33yUrl/c/XZBgLwYz1927RDzumgVJftf1OiJt2rDQOklbmFlyKik+yWU8kD4dwPvtTEVJmfkxGV0NGHbTHeYpiwTLV5FsGLv3xrSo4pk0bXu9Of9Xo9zkNoQyaTZWW5Su/ZRlAUhYDnwdNhLUk7e+cNCXE6Ed61lbOt4YkGO3v7bq/RaFiWtVqtQtiaWq1mGMbRbNotdtnqbFAk2nzedKHu/Jwnh3q7T8/hGJpjWcZittTX8RxHqdQQLm7N4QlxsZEInfIqlPzJu2Nb4qDdulit1nPn8ouKq3geevaIi4rSUlSzB57ff5j49pK/d+zxyHTIGf+erZ4yYx8AIIDOnQL69tKmpdeOHBrSuaOW57mLGXWdOvghhF5+tgdFWpd/MMhsNvM8jxC6765IlUrV/dU+PM/r9XoAdsPyG0mSFEY+EEJyGWk08d27BOfm6woL6/onKyQKeWxKFAAgQA8pdk2ZUQ8A+w5WAEBVjaWqxgIAU2ft82roZNuOgrAQRVp66d6DpTTNAcCXK4YC8AaDAQBomuY4TrDdyMmtbbrhrn0lUyYl28I8WZaVyQjbLJCXn+v89Y9577wx4MHHd4uctDO1GrVEp29w/Jg0eeeaFcPkcnLRmwMmPrSDYfhJk3duXD9Sb2A+XjK4psa8cLHvJl2VlZbBw9bHxiiXf3pbcHAz3+eJ9yZ8832O682nPpz0xZeXBg/CGQgxbvj9998pinrnnXfmzJnTfrpBDAaDwWAwmHYFFqDbhJSO/v9Ultst3PrLiUkTBwf4acrE3g9dqM/gRGTxgSoyPpjNtVtoYXwJyotGuxg+0e452z9Iy5IykhXR2CtT7mQJyhzcIW7/e6I7jNr3ARe3GkeFXAGUSqVxwmfE9kVKQ7FogdgDb2feMN9iER0racRkMsnlch90uusR8Xbbp1dQW7+Lhsj5crOnh0jwb199vqhcCwCTh4S4bX4u8LbD5Hm+abS1Xq8nCEKlUgkynOewLNuxQyCAvao1d27XNfvq0grN5roaub/IFBkfsOjqGIuFZWiECFKpohQqRFBAUKREplQ3GDQzDGOnunoOQRAz7o5dscXN5JWmjBjYLkYQrVZ69Zp93/6Q22TZOYRg6YdD+/VtNJ4iCOLVeTfPfdqcl1929kKlod5gNDGVlZaMzPqycjPD8Ahg4v3xecWmfw5Xum1QPMCF9NoL6bUAcOxUJQAo5GT3roEhWnlhsaF7l0CCQADAcRzHcTTNk5T8wJEyg5EZ0Cektg4iIxocjQqLjX/uKtx3sEz4+uijHY4eqnjxmZ46nc6i1ysUCktaTtp9c4HjFLe96Bgg3FR9jo1WJsar8gqMOXlOm/EPP9u31c83pU+b0sn2lWVZk8lUUcV91ex8As+DTs9KKCRcayaT6YmpnXfsLrqYUcvz8M7HaSSJdu8rAoAAf8mQQRHn02qycxuzWTz3TOeFi8/Yvj751L5nZneXSkiJhEhK9MvL0015dFfnlAC1ipRKWsHrKb/AOPbuzRu/uDk5qdENbNbMEW4F6C++vAQA903o3PI6YK5vzp8/Hx4e/uSTT2L1GYPBYDAYDMYZ7UuMuG4YdVPCPwftBehlKy5OmjhYKpUy1TpKKT6dsz47TRPfCQGAnQ7bSgK06HMxzfmi+VIEW1qaExKRaLdcF9IloFRk4rb24q+1cTeGXdjibIcka6k4ti1kwFgfKoPxFoVSxY9/u+zQ5rCs3xzXEjwnkUjcKoAsy3piGH3dgxD66usM0VUDB/geguoh/cKk2/I89UvpEt6+nEydOb0opURLfOG9MtAQDeTnOE4YXyEIwpkTiCjduor44P91sSFQ9Nvf06Y+OMjzvXEsgxCBHIbldCUF8rBoqbuhw5yCwg4J8Z4fzo6xN/X8+s+iOoNHNgiPjY1RyD3KrNumVFZWj79vK8PY3zF5Hp55ft+Lc+vvurNP0+VyubxTx7gAf9Xd9/7iuDdBf9QGy3r11e45UOFVTUxm9uiJyqMnKm1Lht4QVl1rPZfWYCscG63SBskYhv9uS7boHgIDpf17hg1O1QKASqWq+/vI6efe5+mGS8ZxrDY2Wtm7Z9AtI5JjY4KtVstbi/ft+KMIAMaOic4qMJrNbO+u/gwP/9vpKuh7/6GyyfclMaw0wF+GELAs++ffxV//kEUSwDa/qp558dAXK4bYro6e3fz69dZOnr538sRki5mNjJAsXZkRFiorK7d07RwwZnTMvNeO2PIuLv6wmfEOx/Eff9KgR0dHqTt28FcoyDG3xW/+OXvS/a2W/W/K1B27d0yWyRrsvxFC/fpqjx2vdL0VRaIuXVzFB2AwACCVSiUSiV2CXAwGg8FgMBhMU7AA3Sb06C6e+qm+vt7Pz0/D085Ml/0SO/Ni8+lbKwI6yCH8GQBUfK3jQk9QWM4C2AvQ7MApsFXcOVSiLwcAHpBVFSIz2Av0ABCc8T/AAvSVAiEUNHC8tWC/1CLSAKKOf3ap2+NunaAFkY7jOEEuVCqVLMu6Va4RQlcxTVyro1Ao/9gh7pCT2jOmrY/eLTF6W16Ok9GlZkgQH+bc8uKqIHWSs27fxfqJ/TXO4qPd0ioxaBzHmc1mgiA0Gg3HcR6aTTs2bIkE5Vc0iOkH0vQP6OplmoYEaBzLcgxNyVzotshRfbbqdbLQSE9+giS4pdYBX709eu6S3ekFbvIEdIhWjL+lRwuP1XIqKqrG3/eLi/x77y35t2+fmKgo+2yQL74i4hRho7LKsmdXcVS8pqikRbM99h0qs32mKOLNl1ItFgtBEOGhiqWrztsVDvCXLl08wGKxWFmW1xnODprSsAKhxDWvpz447k6WJwiEECIIRNO0XC4Xot0vZefPevr3rEuN4ca/bSsEAIQgJ6MOADp19OvcNWDbDnEZ+vHJiY/P/kerlcXHqFZ+cu/Zc2naIHTbyLDMLF2dka1o4i3GsnxBkUEbRAhtnqZpiUTy4eIBf+8tfvC+5LJyIwCUlVskFHrv4zOO/f3Ts1I+XS6SynLnrsIP3xsUFEQQBH/2XOWk+zskJ/llXar36BS7Y83nB2fPGm77+vK8wePvExl4aIqfn8Tf333GQsx/nJSUlPLycpqmnd3UMBgMBoPBYDDY7qBNiIuLEs3enpmVn11WVW+yWOuqnW2LEBLRktpSrdMwRW7L5OhTHBcGSkXeYAOCgi0KcZFLVZUBAHVxg+si+4oWkNCGagfrEkzbQRBE3YiXRVdJDeVyD+IZWZY1m81SqVSlUgnOuS6UZbVarVarFQrF9RQlpFQqJ0/d5WxtQoK91NXqUCR5S6RHeutd8e0uQZwzpTityCSRSHzerWv/aDtcy9wcx9E0bTAY9Hq9J+2W4ziFotnRp0xO5ppcE9t3NYpuBEmSUpeJqsR+CG0yIOTRvZuQtFQKoSjy4xdvevBmV0K2WkEufXHkVXdPYhjmnom/ulCfBRYu2u+4MDPLjb5J03xpfmv63TMM98zLRw0mguf5bp01SfH2UxNeeb6nwWDgOK5Oh2a8fpb0VwNCXf5YNZG5MPDxSXKFQq1WKpWKjIyc4TetHzryy/6DVg8etqr/DSvunfhbU/XZhq1jTs+o3/pzfmSQZHD/YLsyD90bt3ZDFgAE+EkSY1R9B67Y/HNGcbHp9/8VlZSaIoLtm9P8hSeaXhRGozEsVPHHzoJHZ+4NCpT7+0kBgHZyT/hlu9MHj5dfO7x7bzlJkreMinnksV0Fhe7PvIetb9v/mlnKcIh7YumtTyy99ZmlNy9e1Ft0k+RkrD5j3HPjjTdWVVWlp3uXTwWDwWAwGAzmPwUWoNsEhFBKJ3+7hQQBoV26SvyDJNpwqX+QoTDH8bWM5zlzZYk+P8tQlGOpKucvKyOkXOmDAs2AR+qDhnOv+SaoRSKVCMQbjSJvhszdb7vYVUDeP6GZ/2MpcXGTP+UmHAnTugSFhtdqRUIXEUDIxS0eCnl6vV5Q6KxWq6jnLEJIMDrQ6/W2vFXXB8XFRo4TvzrDw+RK5ZWwKOnXJUlBuDGdCJGynZISrkBlvCU6UHwiTm0LmonRaPTZ+9gRs9msVqvBs8Bqk8m0fs2IEK0sMqLhT19obXaf/f1YLW1q9PRw3CfPc0wTX3XGaj+fwLG9cQ5lWhGE0EPj+t8zXHwopWey+sclt1919Znn+Y+W7hLS6Lnm7Plag7FZ28rJKRBVSGWyZr2f2cJNe6g1r6B6HT3n1aNyuYIgJNl5OgBQKRsa7X13J4SHKRUK1cnTupfePE4zPP3Oa/fT51NHj7CdaqPRNP6+DVOn7bJYG361ycQy7vR3G3n5hj27Sp6Y0vCLlApy3O2RG7/NIRC8OqdL+oXa22+LHzUycuffJd/9kAsA9fX0qdM1cTH2jsyTp+/Ze7AGQKZQqNRqtdFo3Lh6+LrlQw1Guq7eGhzk9CGksNjUr6+9Ai5gtXIbv8qYNHnn/gOlG9aNfHFuN2c7QQhWfNofmptfu6BeR9fVNQw2ZOXlby/mGEQyiNQjabYm4rFPxkgc8rQ+NTPVo11j/tvMnTs3JCTk+eefz8/Pv54meGEwGAwGg8G0IliAbiteeqGf3ZL337+h6VdVdIKlusImMfM8b6ooRoiQayPUscmqqARZcCi6LP+RMrmOELf1cAEFHpmoSjnfA7usZpHsRnK5POeG51xvWNF9ouhyZV2ez5XB+IZk5CzR5Zqyf1Uyr6NQHaUomUymUqk8sS+4tkAIUZRi3iuHnRWYcHfSFavMcyOS/SmnL71aGTdtSKtZqbYuY1LFAwxX7ij1OQia53nPJVHPS3poLc1x3LKlQ4tLGlTOvEr7fnjVNyf5y7viWdZq0NkEC5am35qzdckbf9iWUA4h0shBWyechFHznI8eJo48du+Az+f365qgUsoIANAoyb4pmk0LB7/73IjWOkRLsFisW38Vt8FxpLi42QykjEzxCUlvvGY/U2fFqnTHqOEW8vDMfY/O3s/zMGdW5wXzegFAv97asaNjH56xd+pT+9dsTAcAmYwYcnvfpsOBp09n3Th8fW6ud0kyHflsRfrD98Vqg6Qkgi2/Fg4bHELy3JuLz8ikBEWRt94SIZM2U+GHDbIfh+B5+PbHS08+d+DhJ/c+NG0PgFRwWOI5c68egTW19L3jYihKfOQmKtrNlILzF2p4nu/YIVipFBlPIkn08gu9np93wosfDFBXpwOAizn5e6tFxPGnZnayW9KxQ3sct8O0NyIjI/fu3Zubm9unT5833ngjJyfHarWyzsEiNQaDwWAwmP8g2AO6rejSpQPAjqZLorvZv9jIg0M5hjFXlhEUScoUipBGW0+OZQiy2V+nxG+wX+3mpkuKJd0i6XMtryqCljwH8yaDwWwy8sBLKEoiV0qlUoIgYlJSK3P7akuOO9ss/NQG0eVyo5uMQJhWRy6XV4X1CS4TeY2PPLna2O0xt07QTRGCnYUPNE0jhKxWq50rtFc54totcrnyoUf+drYWIbhngvic7rYAITRzaOLuc7mHy+0v52ER5OAuia1ii9wW9OocC7tFFECdmZXJZDRN+7BPuVzOMIxEIpFKpcIPdzH+4fbM2LIUupWqKYpSKBQGg8HmSxAdrSyvs798TucYP1l34JnHBuenZ7+z8rzRzJEE3DEsdPRNya/M3VVYZASA9MNnUm7oKXoUz401mNoqUEV4WNgtUZHhS+Z6PQ56ZVixSsRYwxlpacUdkqNsX/85UCxa7OVXjzguzM/RIdT6nlgkiT5cniZ8nja54/PzjwiHUMiJzh39F702Mji4MbllRkb+1Gl/Nt3crkrPzu6RnVP96++Fosd67ukeH396xvb18/VZs2alHD5WmRij/HFzg0NFWJiC47jcfHNNbbPhkxMn3dygpz/zDwAM6q89c76WZfn4WGX/PkEsy2/5TaQy23eUqFSUweDq/jJp8s57xifKpIRjKlCplEjPrDObvR5lMZpMB2rFB7eIuAiANNtXPz8JtvTFeEhwcPD48ePff//9hQsXLly40HVhmqZbcZoOBoPBYDAYzDUBfvppKxBCIVqZLWNPUKDUMZcUABAUVaEz5vHqFElVSLQSLkshduozAPDBydA8V1yrqM/gUoCuYpODySwX2xIHNqorzqmbL9QHJNX1mSz3Kb6eYowMz7dbsex6RTniSfhumuNyqaFMLpd7Fbys0zXYj6rVarPZLJpv8DqI/VGpVIvfPemiwP33JMpkV1S5IAjiph6JQ2m6sLw6t1KPCJQUoonQBrbzt9x120XsfQR87gdMJhNJkjzPGwwGAFAqlQqFgqIoo9Ho6PjsucbNMAxJkizLCv/blms0GoZhCIKwWCw6nY4giPLyOmFVao/AgzUAAPcOCftxf2MOunN5pgtHTr/3Ra7wleXgl93loLcI6jMAvPLq8S1/iwvQpNxTXxd/72cwXKP8tMWLqTN2bYBhvBgP0+mZn7++c+M3J7c4kXd9o6l19fTnDkZFKEgSvfJczztub5xKdelS3rnz5YePFP25o5l7skxKbFh3U25efXycZs3nF56Y1hUArFZxVXfao50dL6svvsg0GtkTRxuXPDu7p9FoTO1hH+595mxtUKiirt7NJXPwaCVC4KeRREYoNn6b+8IzPbf8Vrhx9bBHZuxraiDDsPz4cTHffpfTdNtuXQPSLtY1PSE/bckWPYrJxG7+OfuWmyP+2lHiuj5Nkclkf2RUAohfGjqy2WSCN1+7coOImGsao9HYr1+/CxcuXO2KYDAYDAaDwbRf2rUwca3zxoI+s54+KHweOCDEWbEgtSJPhy7Sytzs0tRQpURjbx4tQCnVFqSS8S2dcutIpuoOqUUWLxNxEgggXL3V5xRHxVQcdFyurr2k/vuN1qoe5gogkUgqIgeHFB9wXJWw742coW/4YKBhMBgUCoWo47PJZFKpVII4eI3CcXD+Qo2ztRSFZs0ceiXrY0MikSREhSVEucoa134oLi0/lmN2ttZ1ekDX2LZVKBRGoxEAEEK2zxRF2UZWPB8OoShKcAURGrBNyLMNugjwPP/BRw0yRFCUGmqMADCiR2BTAXrykIBVK9OgiZQcGSL9urkS99KTPyx4+yZlUDMRkOc4gvJUVtZqxfPBXmfU14vk3HOBnYl2XJwf7BdJqCvKu4sGBQb4PzNzxKzpTG2t7sDhzLMXajMv6fKLjC2c1+HvJ3lkUnxurv7o0QpjnUWrIZd9doZE/KhRvXbsPPXu+6f0TiKFP/tkCEIQoiUA4J+DpfFxytG3JAy6Iczfn1r7eXpltQUAUjr5XUyvX7d6aE6efmmT8GcBo7HZhYYQhIXJjUbjseMVCIFUSlosjQWmPpiwdGWG25/D81BXT/9zqBIALqTXr/7kxunP/ONoX+548ZWUmr/+ctQDU3Y689a3Y/TNCRkZuty8ZncoiQTRtPjmpfX6Gs5pfl0WiJEjwnftbmgPgwdjA2iMR7z11luC+jxgwICJEycGBwe7TqFx1X3zMRgMBoPBYK48WIBuQwYOSAU4CAAEgR6YMcRZMYXGH3QGADAjyeEKa0h5fsfYcNFJ1nld5iWcf0cCTvUaHyiTdo3rMoDn+ar83GCp/Us4iZwGOqXVpSafXtGKNREwKUKkOPz5ioMQUg5+CH4UEaBpSik1VgB4nUzPtQ8vwzDO5OlrgmMnXKXuXPHpYA/zN/7HWfi9UyUrREPZObf4hk0m5nneaDTKZDKpVMrzPMMwQni+VCq1Wl3Z5Qt7EBqzTWt24UvD83yv1OCCQj0A0JcvgXnrM4UP/Tr6mUzWT94/CwD9RmnTchqGYdSWhjq88Hz3Dz46CwAZmbqH7t065raoR54eSV72AWAsJpDZJ4ITxVSUC4n/Cfva/HxxD42uXQJFR4m0wZqmX28ZFb/xK/eKKgAEBEhTUuKFzxRFabWBd93R/647GtYKjerI0QvL12UUl3p3m1bISdZEL/nwvN3y+a8fm//6MdfbTpuxFyH4fNWwN946TtPcD5tzR90UazKZEhOUH394A0VRViu79dfcN14bYDCYu3YO0uvdWCp9s3GUMDYzbGjUD5svVVU1uwx/+c1Tr20b7370r7NVFqv9IFNVlXniQztEC4syZ57IKLgz9Zkk0Um9m4kpqTdGCwI0QUA7nz6CaT/88ccfJEm+9957c+bMudp1wWAwGAwGg2mn4GfrNgQhpFCQFgu77us7JAqnkgEpV5BQz4IgV6EKpKwoqI/l66JjogmJtOlsWYIg8rrPt+RfSKn7kQQvbHntMCN/K6m2kAHWiJu0IaFCVbmA4WD8zu22PI/Sizskn9nQAUTe+lpOfer9/4mYvfaHXKGsDB+gLbW3PZXS+uhjy5ghC+qNXo98CGa4opHOFosFIaRSqUwmE8/z15Yph0KhWLZcxB9WIDBQ1s3B8B3jCMdxNUanUaNTh4exbCsMttkZDlgsFpuuLTg16/V6wbWcYRizWeSIQuMkSdLDeQAEQaSlN+ie1OWwWL2JXT6z05rtRd3j1T992aAzxvoRgt3sbYODf9yYKZeTGz4fyTAMRSGGabgitm0v2rZ90+yZnYbeOYCUSBijkfJAgOZoa4eEeE9qex1wIU18LoKfRlxq7Ns3senXuLhI0WKOrFkxyoUtDEJIIpHcOLjnjYMbvFN4ns/JLdz2Z86JfyvLK80Go0hEv0pFhgTJGBOTk2sCAD8/CcPwSiVVWelF43/v7YFKpWTB/N5CNWxdrtCeEUJ33B5B07RKJed5XqOR6HROh5Y7dQywXQU8z9fW2I/NZGXpOncLzMjyLurcGd52/CSJunb2v2NMjMXMIgKKio1795UNGxoWHaX64KPzfhqqXufq0ejmURGcmDmYH8nVsw3L2eBA4cPihX28qxzmP8zFixfDw8OnTROxMsNgMBgMBoPBCGABum15eV7P0JhAZbBT/w2BUGQp4ZtpCvnIP79QB8D31TCKkGZZpGSxXS5Z5kVkfa7hXMVguoBNfU5GUTanQ57ny/7dE3L+p8Lw3sEpEgXpkOunCblF4clnN/h2XLfwAAEdsOXiVUNyw0Pws7iuGr9/YdaQN4yOeaDc4UKvESx6JRIJRVEURdn5GLRPFAoFAOTnG11MD//5x/uuYI1ak7qqqpo/t0jOHUcmA9Oxu3LUXUFJHdtupnBegXjgKgAsvDeGZywtcOBoxEULtDlE6/V6hJBotjHByhwAOI4jCMLD/JnMZX2vtsQA0FCBWSvSASDBj3974cAHH97J8/Drr/kj74xX8+yPGzMBQBssE0Twx6d2XrW2mZfoshXpy1akL17YKyxUDrVVqqh4QtrMrLYpPMdpEYOQ0wLXGX/8JR6Te+hImehyhaKZAwNJkp06+qVn1Ls+ypfrRkZHe5fRESGUmBAz+8kYAOA47sUF24+ebMi32a93UEyobNsfRbVl1tqyxokg9fU0ABiNXgwwf7tpFE3TLkZHhBE+s9nMsuy+fypcqM8AQFFIIpEIAf4cx7FiHV3auZopU5K+/sEL321nlJZ4cU956IGELT/nnzlXe+Zcs4QY336fq9XKAMC1+gwAN4xNyRfrVVho7CX0SBoRLi8pNQ8b2svzumH+45AkKZVKNRqN+6IYDAaDwWAw/1WwB1nbctPI1MDYOPF1PGcL/onyc+ZIiGiLSBgUIVOUdZmVLxvgQ5UKZP3sZpUafn0n6tQXUqsuPH+v5K+dORVOZ21XW0Kiz2724aAeggCqz4u4QGCuDGqNX1mn8c7WBuXv8VaLRAi5zfBG07TJZNLpdGq1WpB32zMIoewc/SsLnIY/L/90qKiO2c5hWbbw/ZfpGXeqt26QZZ2TFuUod/8K8x+rfPS2ivxWkJlEOXmpVnR5fIgMcXRLDKDVarVKpVKpVEql0q1kLBRwJi4jhAQxzrWlTFNkMllJaUMIamlJM5OZ/snKL9emX0irEfr+4GDZn1tyNv+cDwDBwfJ+fYJZluV5fthQ8ZhcbbCU53meZfX5lzuT8X0AACAASURBVOqzL7JidwcAYAy6cprPrdVfKqusrKrypM7XNGazF+7L906Id/w7fvLxba63WjC/d4cOLfIzIQjig0VjEuJUt4wI65WiObiv9Puf8ty6Ybhl0Rv9TCaTJ2Y1FEVJpdL1G5zm/BR45cVeNmckhJBGIx6msHHjpYnjY7ytrR133R51+Eilh4V7dAv46psco6mxWwgKbOxpKystKR39XO9h/ZoR+az4LcbANhumGjI0Yt7c7lc4iyzmmqZDhw4cx7mwZsJgMBgMBoPBYAG6bZHL5axF3OWWt5ptkUWygMY0UyTwXeQWGWp4o+ZZJ4+ziLB2vOOi5m7HNRwgKxKfo10g6xfS/c6mS4pO/+Nf1eyNNOb417o9GUXGePsKA6Dj/7a1PXPEiXV1NdVtfBCMU4L6jbXKAsRX5e1RKj0yn7XB87yL+FM79Hq9yWRSq9UymUwud5ok6upCkuSCN51aso4dE9MrtcOVrE+rYLVaK5+4S358n+MqwqhHcx8oPLinLY67J61OdPmMUWFuxy1cYzKZDAaDwWAwGo1uw/bNZrNGo5HJZI4+MARB2HRwwS3ak6MzDGMLkE9Lr7NdAASCQ79msyy/6J0TwpK7xjZKeMs/GTJ+fEfBjVpUCu/fL5ggmlxNHGcoyK7PTne8xUg0/pRCRSpU0oBgkzoop6rOw8Dta5TkZDfKY1OenD7IcaGfRv3L5rtF+6qoKOW2X+69dXTrBMPeOjx8228FR4+3zqhAeLgiPt7Pk6EaqVRaUGiYMXu/62J33ZnQ1IUGISSXOfWy//qbnAit9KH74z2ubzPkMuKvv4o8LIwQ5OTah3iHhSmEVQIxMSoXe7j1lqhOnTwdQhg0Kr53vzjPb14YzJAhQ6qrq9PT0692RTAYDAaDwWDaL1iAblsQQnJaXIBGMqXt9YYgSX9ocFpkAQIprp/K0kdpAuBZ3tUrEBXf+2LCHDvVhABeyotrLpS2m907VfSpLxyLKUyVYXu/KTnD6mh/I6MyMQozK88pjdPUt1UsZFMCts69vuWS9gxBELqbF7TiDr19h9fr9YJL77U4lfXBST2udhV84f/snXeAE0X7x5/Z3WST3c313gsHR+9dmogIAnYEFERBsYOK5SdYsGN5LSgoFqzYXl8LNkR6t1Ckc8fdcb239LK7vz/2zOWSTbLJFe5gPn8lM7Ozk2R3s/udZ75PzcO3kI3yLroSmteW1Va4Zyhtg/3qZYQzmkKtzD2o3CjDiV6vN5lMnsFrFEW5+uGazWbJNlrBAJquygaDY/qQJnl06gCuoaGFsP7f/zVdUV9+YaQoihaz0bkvknQ/cRbe3E1mZwJvLMrX550UvX9kigspNFi7ls16QFwxzcsyIw9mXpvubZlFdHTE9s03Lb67p1PlT0tlV78x9qv1s8LDAxC4ffPGWycC3QQhiI3RvPfO+N69w92qXn1ptNks47DviVqt7pYZ+c5b43w3m3VdpvPcQQj98GNBVbWvk7G42PTRR7khGjRjaqKSYbhy18Is5QHgI4dH6z0anzjZEBerXffueOntps1lMdGaObPSPDdPT+eWP3qp8hMg36JKiY9T3ByDgYceeohhmCVLllRUVJzHF1sMBoPBYDCY1oAF6HYnKS7WUF7sfCsb0SyKYobGWY52G7S7DFpBRCNYiwAgCjwACA6H7E0txYXl9HzcASolgzHVtlCQ9Y2NhOA10jC6ZL/291/UmzapNm2mftuScvBzJbvwgU0dYtFE+G1GiI7if/a2cl+YoAmLiCzsdaNsFWUL2KY5OAdhURT1en0njIP28WAZF6tJSel6mkXJri2qkny/zfj7ZrXtQ3VBYQkv19/EPqGtXMVMkmRbDZUgCIZpnikURVEQBL9zKgRBuLbZ/Uuh9GLLD82XX4pCw4ZE1tQ2zTvGxWl9ZzjMzOB82akLAvJ5opG0JrdQ3ij5PGDAAEU5P1NT2CX3XuyjAUVR188ctWvbLXt2LNizY8H6T2YNGJDVVmGwgiDs2XtYtioqstmtm6Kad0eS6N01Iz7/ZNLr/xlDkfwjS/uH6Jr/6Ne9O142v6snCKEjR2tbhM97we3UKyszvfDsIL9fQF29/dv/ne2VxfXpFep3F2oVMfua1Gcf6/fiK8f8NpZITmL27KuSrUpJ0T2yvNkQqbLKsv6LgokTWlyH+/UN//TDmQRBKL8shJCCRnOhWKhj2oTY2Nhffvnl9OnTQ4cOXbZs2fHjx/V6vdk7WKTGYDAYDAZzAYIF6HaHoqhSo1Bf2vTwLxqabU9FUbTpG3dv2Dt76kcLF2zZ8sbOiPpKApruSg+aNfuMWgIAGmoAgKCoZh2kZbAbQalOx8xVMpho61HXt1ajn7RLAVEX1fvEgNsBwKBLkW2gtjVqLIrsNdIPvNOGA8MESuKQSbLlyfv+oyQC1JXWyDduZuWdAR8PjS+9MLYjR9ImCIKgfvMJJS2Rw158QqlgpIQ1Gwtly8cr0LB8Q5JeTQOU98BxHMMwFovFYDCwLCuZSgOAwiDoMaObs9Xl5OpvHs5Nz1RdfUXyrbd0mz8v8+abMh0O0enDEBGu9nuWXHeN0iBfb2jiks/XlSVSFkHfbViW+uzjc5MdVBTFbduPjJmwbunDf8k2qK5pjjJ2OJquMHcu6v7R++N1Op3D4dDr9Xa73WKxvLO6KYS5b58IivJ1OXIFIfq5lQduvWPbi68c8NFs1sxurosPRFFcdGuvxISQd9eMVLKXI0fqDx+oufySuKxMzrM2NpqefU3KhNHRZr3t08/OPLLsgHxEvxwx0TIzkZJST9OEw+F+VO/dXxX5r6Y/dkzcmjevkv6GCMV/RqNS/c+UYzCuLF++fNCgQUVFRUVFRc8//3zv3r1DQkIY77QmyQEGg8FgMBhMF6XT6TvnJaMyY9efqB9gL4hJTSNCo5zlryzf8NeBZkH2xKmGp5f9wWjJux7ob46PFwEBAAJA4TFuHXoGu6lj0+trksL4YvBDiw1JslUHgImNZYwVDkpLOcwAEF59LLz6GAAYQlM5vby65ElJ6qTEs5s8yy0WSycMgL1wqI4dElXhLpcgkU868HbJ4NsNBkWRdwRBSJ625z0x0ZrMzNam5Op46osLkWJRUv3Sg7DulzbZr95gLKhulcuzD4ILupfQaDQURVmtVtd4ZOm10xPGr4xrsViQyxCmTE545TWvxguZGSHPPjXc7TQRRZEgEO8SIp6a4kv1RoQizb26piYmOlpJyy7H6lXTJ035zNsvM6B/+KsvX96aAyNobDb7o4/9smevfACvN5KTmLg41mazWSwWV5WZ5/kP35tQXmHW6y0qlcrVr9kbHMfdfOtWANDr7QcO+vKeHjwo2k3Rlo58juMWLcx6570cJSP/4cdiAOA4Ki2Vi4vVsKxKRaH8s8a/D9R8+llei5Y/+b1dgfh47fzbsp9fcdCtvGd2+BPLh8y7ZfPOXeXhYe7O7CYTz7JUagr70gvjkpLiW1aKAH5kaC3iY2POz9MEg8FgMBgMBoM5h2ABuiMIDwsLIaoPmbTak6WDowgmqml96NkiGadmk5l/6ZkD0VH0ncuGV6tDlMePlqVcH5r/iu/mNeruCS5vdRFRXpsqgDFWOChNVfyw2pj+UeV/29S65PxfASCu2E+mI1dk1WcAqDy6N2XIhNYMD9MaqOE3wA8y8Xq0oSx9x4r8sU/6dgyQEARBrVYHrUF3whxQ3twh1OouuZqk/q/dyt1tybZbMJFbXO2tqvUzFkEfNjRNS5JfK/tnGGbzlubsaoVFXmdrUpK5Z1YMM5vNbseV3W7nOFVdXXM4Kkn6OsBUIfKJQ91oMFncJzPPF7RazXffXDN3/g9uLtsA8NorY4YOaTMnjYAoKiqfv+BXsyWwUMd+fcOX3tePJEmbzeamCFMUZTbrY2OoxIQwJVdgALBarddclfHZ5/7l46REVrZPnuc/aakd+8VgcBw9Vn/U55KJykrLtKmJP/4sn4cwu0fouOuy/qkjt1UDTRNWa4u5hemXpwKASkUM6B91/+L+s250v4uoqrJ+sHa0q/osiuJ3/xSDArOyoZGd7n8H0/m5+uqrMzMzlbc/J/NhGAwGg8FgMOcWLEB3ECNjVBvLRbNI7qqCiJqi/slhKkbX2NAktURGqmtqWsguVdXWFfftePb5IcZQVpG0AKDiwvK0EzLNW301Cs0ozM8VRVGnC4mIjqUoSkAkIQa/EpByWOKLtscVbRcRyZN0fverk/J+PdNnbvah1npopP2zrqH8L/GihSFh7pmXMB0AFxpeFT8yukzGjBuJQuru586OflShAhI0BoNBo9EoifLrMGw2W2ZGyJk8dym2uMTE83zrzR86GM0e+ekfbxiNxkA9WGQ5fEbeimf6oPDWC9DBPdhTFIUQ8iFTuiZn892V0dh8Rb377p7vvXdattnkS5NvnJ3pcDjc1GedTmcymTi2WYDu0d3PTCSpkU+s5wahbYPfrtMSFRn20/c3njxV9PeBosoqS1IC07dvUo/uiefqrKyvb7z+hp+Utx84IPzgoToAePD+AQCizWbznO6STJ89jxkf2O32KZOTBg2IPn6y7v11XiPxr78u02SSz11MkqTJ3C52AaVlMimaLxoVnXRR2lkj8c+/iVEzM3THTzS4tunRPUwUxfg45v7F/V/6zyHZzl2XpIii+OXhEqPoX31GIPbOTFP8CTCYJoYPHz58+PBzPQoMBoPBYDCYTg2ege8gMtNSKGjSL2oF9dazxqKc5ogkN/V5zKim5Z/L/u+vvZv85wdzYqL9ZKJPr/gwq/rD7jUfxResUv/5WPWR7x0qGbtGACjIulLhTsuSxyEAQuQph9mhYnP6Lcg8+smpMcvrUt0tcf8Z/rD04kT/RX67RQBhlUfC/re4YvsXOFtLx4MQChm/wFst6bCkb3882lGp1SpSvoJDFMXOJumKovjIQwNlqxTaknQqyJpy2XLrrDtkyw21XiOXA6LRi541Jlt5QHabodFoWJbled5ut3s73hiGUZjwjeO4W+/YJr1++KG+H/5ScfnUJNcGsTHaaZenfv7JJfPn9rBYLJ7zKxaLg2GYouLm2Z0xo/0ELlOMImWZ6Hym6m0LQRC9eqbOveGiB5Zccv3MUb16ppyrCwjP8zOu/m9Amxw8VDdlcgJFIpWKslgsshJzcC7eZrM5MZHt38+Xr/EV09M63iLc7hD/75mhvXo22b7PmJZ0xdJh/MCMs8YWt6bjLnPPKnHbndtFgNwzjQDw9wF5exPXRQM/Hyk0iooO/lS1HYemYjAYDAaDwWAw7QG+z+4gEEKjdCYAUYsk5QWdcITcvXK8bOOde5ofqP77beHuDfsU7iXEEoBajUBMtPxJZCfKirtpOd+5lYgAopx5YnzRdmeHWcc+YYylxemTaRKVRfQFABEIAOAJlYiIUENTJsaeh5XGRyOAhDM/C5/dw/NKA74wbQWlUpVPXOGtFgHEH/4wY9/KEEbjQ+WxWCwcJz/JoQSCIDQaDU3TKpVKpfIfv9YBHDwoL8J2xVkSUcPIlqu/fFu2HPmzT1VIQbV8mHObSGCBzldRFGU0GkVR5HneZrMRBMFxnFuYs8lkUqlUCCGO47wFigIAwzBLlu6WXg8YEP7WNyUAUPWvkUZoqPrzTy55eeXwq2YkGgwGbwsIDh6qdrMU6NvH5zIYhNw8oEUv6a0QSQqCgOfzOoCbF37jTCeoBLWaeGZF/5vm9l67ZnR7CMF6vZ5j4dWXRklvCQK02uZj5qknhvk4qrdsk3fJkBg/Nja4Iel0qqgJ3beVEaEXZ4+6a/jFi4dXpSZWmmWuMLzOfZozJkZLIPTZRxMP/yN/NVarkFNHPpZXVM7TfscTSvGTIm0D44P/t8JgMBgMBoPBYDA+wAJ0x5GeljaK0ZvF5qe+OpF+4pWL/G64avXJE3uPAIAo8I7GOntNuUNfL9sy2nY80FFpREPVwMs9y42cezB1bcyA3N5zazMmCshXTFnaqW/Sc76NPPRZas63AHBywG25/RcUj1kqICr12PpAhyehtjWSn95u60xWDBcI0YlptfG+VpWSDkvazqe6Hf8wlCbUavdkUODdNFkher3eYrFYrVYf0akdzN8H5QPuOj5+sPXY07rLliMvGqW2jfxwqvTyR0WbxB5KIrLCxizLuklvgiAYDAaapjmOcz2k1Wq1RqMxGAzefmiNRrN3f2VFRZOrQIGpaQwHTuqTEhkAyOoWajAYLBaLj0MFIcQw7qGavh3GKcZdMrMb5N26SQ1TYkfFNjhTUVPf0CDbBtN6Dv+Tl3tGr7x9RnrIR+9fnJ4WaTabEWrtNdMbPM/HxGiiozQA8NEHE9euHi+Vp6Xp0lK13qYlKIr66JNTriWuyjUAbNtREcRgSBJNuWuQ0xxbBDB7/9BHalCvXqGuJZWVZkEQT56se23VP7KbxMY2adZms3lfg9eZSwJEABjI2SZF2oaGOAAgISHBW2MMBoPBYDAYDAbTGs7zBbmdCo7jGI0GTECCwP8r/Rch3bLnRz736F7fQWkrnvr7v/N/j/xnszM6yBoWUzNmptD3IoptVh/UQjAmAAmOI6UDp8Yc/Nm1kDWUAEBjaEZIQ1P2ocjKQ5GVhwomPO4wG2LK9gOACEhEiBBlxBRdfZ4IKC/7+qiyv6Ir/gKA0pSLEwq3AIBVE05b6jw38Q3J29Rf3m2fs6aThMFeOIRcckf9L8aw6qM+2tCGstQ9LzhoXeGIB93iOhFCvJd4zK4IQRAHD8nH3G3bfubqqwZ38HhaiTB0HPwdQMpQnU7XJvvVqgibQ+a6ISmzJEmqVCqr1RpcrK7NZuM4zq9BOUmSNE17M9aQnDF0Op3Tk9poNOp0OoIgPOVjhBDDMI8+tr/gbNNOp01N2naqWdeeNSv95VeOPbCkv99RMQzTv5+7oEySvgLP1WGRbiWufwpeNonQA9SUlmcmxPluiVGOKIpGo6mhwXDf0h3Kt3pgSd9BA6MBYNPm4jGjowRBaCcBGgBMJtPLK4ep1erTOfVPPNWUY/b5p4f7OCwdDse6dyfccNNmZ4nZxT8nJlpTWRXwxDBCcO2DwwoDkOih74zs48f3O9/yvDhn3u8P3j8gu0fowUMyhvJFxSZBEAiC2JpTAaDxbKBG4gCq9g97ZBJliVSjcivBi0SiputNImI6CbW1tY2NAeTpTU1N7YRpljEYDAaDwWDaFSxAdyiZmRm7awsYUuzO2vY2Nj0UldFh9/9n4gcrdtbVe82+RVEo8p8trveqdH1lwoY3YcObpoSsyssX0SndRYGnIMj8XQmOoyX9L4897J4xyak+O0nb+pTzNQLRW6QkAJSkXZJx8ktndXzhFhHAoWK8qc92Faey+1JnSN5m2PiqatpDPtpg2hyEEDdlafnWdXHF2323pKz69B1Plved28ilWK1NvgMsy7ZVrkKLxcKyrEIr3nYCIWSzyYsU6z467luA5nn++PH89V+eqquzWq08oyVvnNNz0KAMmva/PLydiBk2xihvtiEDH9Jm6UCvGMDYHYIIIogIAJqMPUQgCIJlWbvdLv3WdrsdAERRlH1Q53ne29yGwWDwq0FrNJpAjyXP4GWKojQazQcfnty3v0JvsDvLs3qFuQrQb7554sH7B/jdHULo19+Kv/5vrme5j60orbuPCkEpmqVTR8bmFhZ1S0n23xTjE5vNtnrNrq++8WOBFR+vLWuZdm/woKh+fcNNJpNWq714fLzzstl+2Gw2kiT37q+U3q5dPc7v9bmqyqs7RxDqMwBc//Cws4GozwBQqIcePUJOnWoh8OWeqZFVnyXMZgsgKONl1GcKhP6cvdAaNjjEfqCRLq6F0WH2Iw0woZ/8ihAMxi8rV6588cUXlbe32+1UO5jyi6IoTWLZ7Xae5wVBoChKMjHz/B8RRbG+Xn49pUajadcMHxgMBoPBYC5MsADdoVAUlaSy5tiZvY0UBYLj3zjoOlE974mxr9/3u7cNHQ7RFhZD18usdWVKc9LeXSoioj57BPQPfmyJwhFD/0HoZD5tVRSeXJE4Wgv2mh6Xk3Zjyk6Z2+6Es1tFaLaMtat1aps+t8/8ngdXSyU2Nk5EiDaUSW99q88SoZVHS3OPxnbro2SEmLYCIRR98S1Fu8OSz3zvp6UoxP/zEepzQ6VLPky1Wu0MI20lJpNJp9Pp9QGqF20Hz/PTp6Vu+PGsZ1VNrc1qtdG0jA8JAOzZe/SRZX+42cIePLwHoT13LOp545xR7TJcf2g5rrZbbzr3mJLGlnufbqv9Tha+Z3iZQPKj1sWS6AwARqPRt/Cq1Wp92FnwPC+Zj0v6tSiKrvqvkhBpT5xjc3bywsuHDh+W+SAfbihzvr7x0pi319QOGhjld48IoT/+rDBbAlgxwKVlKW/siTom0Wq1nsMpkPOAjz/Z/c57J/0G6xMEuKnPALD0vgHSUWG329sv8NkNs9k874asiRMS4+MYi8Xkd+Q//Fjo+lalQnZ78DbiN/zfsLzGYAI/E+MZVwH6808uWf9Fjo/2//yTY9NxADL5OVNIU6hKRdkaCDsxJpzZWafaW6+ame3TaR2D6QrU1NSsWrWqvr6+vr7eYDBI/4OxsbGDBg267rrr3HzSHA7HTTfdJNvPlVdeecstt3TIkDEYDAaDwVxAYAG6oxnbt1vOgdJIlUgTQjbr2FLbdDuoF1WxsZqKiqZ4IoIAN11lZ9b1l/z5hrdukSiEn9iT0/euLGKPZ60ABAH+15ZyQjV0150WpmQoMGuOLdkNACElfzQmDpVK7GqdytasDBJii8dptU3Pk+qeB1eXJY+PK9qGACyhibqyQ3535EbCjhdNyWtpWiasCdOuJIy+upBUpZz+r9+WcUc/sw9bbCA4u92OEFKpVG21rlwURYPBoNVqzWZ3Kadj4Dhuw49nx46J2bGz0rPWYDDJCtC//Prn08/Je5WKIqx++8Qnn+X8+uO8c7Igl1v6vP32GX6bCbQ2pe+Attqpj5UTrvi24DCZTBRFqVQqkiQJgpBUZqlKOtgk63BJhkYISVFgUgOFsc8+zJo5jps9V37KcPiwqGM1TRv2zeTWfXBayb4AgKKo3DNKrZkRSerSeyhs7LUThErr9emxWIAOBkEQHnhww/4/5T15PBr7qu0w9VnCaDSGhYLZ7P8sYFl2y7YShJqTrPJ8kOozQnDr48OPKPq2ZLhodMyWbeXOt489+UfuGV+OB9t2lMdcKj8nH8XRBkMjAGg0ml0Nql6so8QMkeFttsIDcwEye/bsgQMHylY5HI4TJ07s2bPnwIEDFEWtWLEiKiqqTRIeeGI2mw8ePMhxXHx8fHJyMkEQVqu1oKAgJycnJyfnscce88yloVKpevXq5Xb7gc3QMRgMBoPBtAdYgO5oNDTdg7aesmoiKTja2OKR9KFlgx64t0k+9nxYfeur6okZyLdwE//VW8KswZ5asxL12Ul3Ylf+4Fnxh76jeEWra0NK/pReuKrPspC8DQDii7blZc/KOPkFU3WiYOKKtN+Xe6puxuhsuzZSW5dH68s8+6n786e4i65RMjZM25I4YnpRTFbCnpdJwe6jWX7URZB3kAxN1CT3cjgcZrM5uIBTWURRPIfZCPf/UQEAsuozANjsMirS6dMF3tRnJ3q948abvvr0o5kdr0GHRkQW3vp/zLvP+2gjIsSu/rYNx2ZThWodNZ7lGlrtFmXsG4fD4VTuCIJgGEYURZ7nJf9ojuM0Go0UL48QklIItsn4WZZ1dcV1Y8TwqGM/VwLA9IsiP/8oBwAoStFXR5Iqtxh5WQQRCJVK17rYZycE2za+3hcagiBcOvVjkylIg3uSRO+/M8HS6TPrEgThqj6DPyXdGwjBXSuG/60gYeHAaJDN87pd32LW2bf6DAAO3utAjxqoITquwUH8UacSAI4ZVddl+bFNx2B8M2DAgAEDfM3R8jx/4sSJsWPHfvrpp7t27WonAZqm6XvuuWfQoEE6nU6acOV5Pjc39+mnnz5w4MDmzZsvvfRSt03CwsKefPLJTpLkGYPBYDAYzPlNu9wAYXwzpnc6gFjjIOodZBLZ7K54zBHi2owk0ecfTXS+rauz1aQN8tv5mfLWxsQBQLptD9k7pSL5otZ3JUvGyS8AgLKb0l3UZ55QNYR3k16zVSfDCnebonsJhMwcSeLp731EJmLalYSMbH72O9UJo701OBF72S2fht3yaciit/S19VYpVPm8+b3KyrzaoQKAWiXzCHfnvduU9JxfYPj6v38GN6pWkjJpmnnmIm+1IkURr37JtlH6QQmTRj66Kq74u6CzjJIkaTabjUajxWKRQqENBoPTrcWbkbQPVCqVrHWMRqPZtqNUELwqxSeKLABw06XRkvoMAEpkZQD4foO8ibBFQKU29REzs1UfulUfut0QWmNts8kApMwwGuPGg4/8GLT6DADvvzPebjd1cOBzEASXCNQNkkSLnlCkPgPAYTn1GQDsfItjfuqU5Fkzu3nrhOOo9Mv6eqvViPYd9fQxAyn9LXUj9TFRUYoGh8EEC0mSffr02bBhw5EjR1auXNkmZ5YnMTExkyZNioyMVKvVCCGEEEVRPXr0uOyyywBg3bp17bRfDAaDwWAwGCVgAfocQNP0JZF2BCKDeIGgEDhvB1s8X/G8OLtlkN2ntjGub8sWr/HsPH7b+koygEQ6DpBXH1SiJTGssGrgVJ5q39XZZm2M9IIU7KF1LbJvhedtJgT553Njo3ziFEwHQJJk+CW3VU950Uq7r1m2qkKWftl8wLz+0WkpzY7ZbGYY91RpXZFLJ/nK2OaZU6i4uEy5SvXaqiNG47mxFkm+dh689pVnmkHT+Om6936OTEiU3SpoUKT8NYoz5GjVQcZhIYR8z3OYzWY3B0zf0DTtGY7NcdzHn+Wufe+Et62SEpnSGtvQZPVba04p35fU89ffuCd9BYAZ05P3GkNOWbXVjuZrdY29zf67z4nx/xxydwAAIABJREFUS1dn3Ue79u7zIpQq4MXnRjgcnT32WaK4WC8JViwb5IK5zAzusiXDnLIy+e/hNjBe/mT0dg6LAHfd0Ty/npjA5efLB0FrNOSCZydYkdcBx2uJSZE2ARAAkCAMzUry8xkwmDZi8ODBaWlpP/30U0cKwQih4cOHA4DRaPSWuReDwWAwGAymA8AWHOeGzIyMzTVF9aK6wS4SAM77wZdXDl768N/etvpuQ/Hiwc0uHLFr7pNtRv68HSbHKxwJBXYAMBLhrCCTezDecdTWKw3+CUxJUY6D0mrNzW4GpSkX6+rzdI0FfjekNr8G1zzVTqPCKCE8Olac+WpFUW7Erv+oHE1xwf+pvdpkafb4LCozSb4HoihaLBaWZRV67zrRarXSylDpaU1yVziHYYMM4/WaSZIoJMR9HfcXXx0PqP/1X/x564KxwYys1UQlJIrvbjAb9I25p2y11UxaZmhyWlQgiq1yVNGZkCtflZr79smUWwMy4pBw9YCWRRTFgPJheiqzHMfNX7jVanV/gL/jtu5JiUxkFE0SCAB4Xrj97j/c2mzdVjJ0SKiP3dXWyiiSJImixvaweHysEjs9OPCYbllEQQDAi6+VYjCYFiz6oagosOuYKyufGxEVRXYVGSgigvzi00k3zv9dQ5NGYzAX3vQZvZ2HNkOByQEkAl6EoYnqg2XyJyMCkD2TC7TNeQInjEv87HOZJIQUhe5aOb4efF24ThrJY8amK3mcyhGB3Z8xHQVN0zRNHz9+XBCEdnLhkOWvv/4CgPT0dE+rDavVunHjxoKCArVa3b1790GDBkmJEzAYDAaDwWDaHCxAnxsoihoTbt9RpxYBuT6GnlRFO1/fe2f3XzeVzZuTvnxFs4Hsf4c8ct2fTW6thE0+hIquKz9F3tCD36J8PJL6LJur0Ia49sv3RznM8O+jJgJIKFQ6Zq6hwPbp3eSNb7bb0DD+QQhFpWSJs1cX5Z9O2vXc12G3//ZrsVubv4/W9khTA4AgCAGF/LAsa7PZ3JINIoQ4jjtXGQgpivrwY6+TMZdPSfIUBI+flJnX8cFn63MX3jLmXAWlIoQYXQgzcGh770gXEmahwjUOmS+H4k2yocd+UfKlORwOmqatVquSDl3HID2Q3zh/s1sGNoKA1W8MJ8kWuyZJQq0mbLYW19IhQ6IBvGrfGo3m1ju2eZY//OjAAtGLOiwIEIhrZ2PeqZAMGYMmkXdgAVohjY36qTO+CtpPaNkjg/r0jjAYDF1FfQYAQRD0ev3K50asWn2kplbRiePeg8sZY3IAAEjn0Nq/ZAzZVQSkhkCulwVOrvsvKzOaTA43f2qE4MFXxleCn3sWvnm1mTi1X5qfD4DBtB2iKIqi6PSG6hgaGhq2bNlCUdTdd9/t+UfZ2Nj49ttvO9+SJDlv3rypU6fStPzyx8bGxrIy9+ws1dXVAMDzfKe1FXIukGqrnNjnBOlTdOmP4EQUxS79KaRzuet+BGn80mue57uuOY90UvA833XNHp0j53m+q69K7EL3tz7ozKe29A133RNWAgvQ54y+2d13783jW7qgCIDGj43dtqMCAN5YfVqjIX78ucS1wVvv5EyfGK+pk0nN5wp3+I/88bPSqr8I6DJGgFBLpkTwhRak04hN98cmIrz9BGiJ4K61altj47dPM1cu7+oX664OQigho0dt6Mtr7tnmWbv3YE3PjETpzzWgeB+EkKcKKYqi0WhkGKatsskFhEql2ripSLYKIbjz9lGe5RZzYP/ENrtoNlsYRhvM+LoUNYlTE89+JlsVU/6bUTc60D9XJUeXxWKhKEphSkzXSDFRFOfMc886iBC89fowN/W5qb2HQ7SOUxsMXgVogpT5L0YICnRerWlF3o5IUnQ4oKYMxfpyhpGQVZ8BQDA0AhctW4VxxWg0XTbtq4A2UamIh5cO7NUzDABsNpvdbj8nF67WExoCzz01nCCIWTduUqmQ3R7Auel6Wkqxzz6wC3BpN+2Zv8zeWoWEqBob7QAgqeGuF4noaPreR4cWQABeT320loBseTCYVlJeXl5VVRUbG9thN66iKL799tuVlZVjxozp1s3dNn3ChAkjR46MjIwkCMJsNm/atGnr1q3r1q3Ly8tbsmSJbGbCPXv2rFixwq0wOjoaABobG1mWbacP0lZYLJbOn/3VN4EuJeyc2O32+vou76Z4HnwEAGhs9JPUt/PT0NBwrofQBnTRW0RXOnh6tZ3ozFcnKYiqqwvQ2AP6XHJ5ioy0O3J6szuqzSb26um+avuu/Ml+e9YUn05I71OaercNBWa8G8EXAoBTfQYAI9l5k/OE1OVUHt4uvXady8V0PGGR0aTc5eRUfqPTGTmgJy5vc4+CIJyrKQeC8Boo+uJzIz39NwCAkFMnASA6io6Pk1eZ9fpzE9/dwURnj7KT8lcnXcNRb7FXPlA4veFwOERR1Gr9SPwEQbhO48seci8+P4ii5HfqFii94OZsH7eVFEUtf3y/Z3n//hE+pueMNTUAADVlImrV/3gk074u/+cHNptt0pTPfTR46vH+AMAw5LtrRsTFaoYPjfn8k0vWvTsuLVVtNBqNRmMQQf2dB1EUCYLY/0cZAASkPgOA63npW30GAARAUdQdw5qupYkc3DWUYVTNZ8H0aU1zLR990rwYJTmZeWDF0B7XDyggfLnceDJuQM+A2mMwQcPz/IEDBxYvXlxSUtK3b9+OuY3hef7999/fvXt3r169Fi1a5LZTlUp13333jRgxIisrKzMzs0+fPkuWLFm2bBnDMHv37i0qkp9uFwTB7kGnDRbDYDAYDOa84fwQu3AE9LkkOTEhuuR0Fa9mCdEqgkNEAFBFshSFHA4RAARB/OBj97RUZ/IMWxfePuHA2zI9/gtdXyEIQlRMnBD9f8Unfksy7gx6kBboaDM4m1pXOvLetO3PKmmccOCDU6Fpqqh4QqUGUeRtFspiiA4LCULAwrSSG2YkffyduwWHycyrVCrJeNdgMGg0GoWxJz7WUpnNZoqiOviBh6bpF1856K122LAs2fL4OCYvT2Y2uKra62J2g9ESG8T4uiAVfZYkHX7Os5wQHZ7pHP2i/HneaDTqdDrfbdyi7M1mc7++Ef8cqXWWhIWpw0K9xk66BUBfcnGSDwGapun8ApmD5Iq5PXM8AujDVWKYGvKNSG8w6QBQbHJrZAzBbgsJCWlFBxcKCxd956P28ikptXX8tVelXXN1N5vN9vLKkTab7TyIZHGlssrcqyenUhF2ewCrXHv3DtMrNV0HABABRFHk7bYhCaq/Su31VsipE24dolu9v1HaLfPviqySUiMAxMZorlnY62CDak8lXJVFBJStYmJ0V12ui+mEvP322599Jr+mRxTF6urq06dPw7+PjvPnz+8AAVoUxffee++nn35KSkp6/PHHlSSCRggNGzasb9+++/fv//vvv9PS0jzbpKSkXH311Z4bfvPNN5LDdZsMvs1x2oOQJBnEDUYnQRRFm82mUqk60kC8zZEi+AiCUKlUfht3Wux2u5RZ5FwPJHhsNpt0RVKr1V13MbHD4eB5vtNeeZQgfQTo4j8EAFit1q7+ESS69N9ElwB/ueeYaX2T1x2qMAqI+DfpjgBo2uXJ331fKL39/KOJi5fuqaxqERS54r3qrIXTkg786KNn6e4EIRTda3KdcZQxb1uSRSbIzklJ6OTEho0y/QT0edoCtU2vUH2WIFQUoVIDACBE0hqR1lSKwNcZEEmBKAp2m8pmSoiL7dK3a12C4YOSPQVoADhTaIyLBPj30YskFSXgcsrWnjgcDpZlO1iAtjvQocM1slUaDentNnrWzO6791QEtCNSNpL8fCQmLlE8LB/iG1Gz16jp137TvH57djtEeZ6/fEqqqwCtVim9wXpmxTAfWiRC6PsNBbJVObzM5N9F0SLvcOQb1QcM2gSFI/BOJNgBuvBde8fw3//9mXvG16LCjZuKrpg+pn+/sPNMdHYlOkoz75bN8XFMofcEjDqO0htaXJbHXdXtYGA2+FBtErWifWQK91ep3WiHnWetPaPV3cLgRC0AAKltutKq1cQd9/f7U08f/Hfd7RkU5qVLGUIJe49MdzsCDCZo8vPzd+3a5bdZaGjoM888c/3117f3I7ooiu+///5PP/3Ur1+/Bx54QIn6LIEQSklJ2b9/f06OTJJPAOjTp0+fPn3cCs+ePfvNN98wDON3cvdcYTabpZtGmqaVfxudDZ7nbTabRqPp0nKbJEBTFNVpjxYlNDY2iqLYdT+CKIoNDQ3SScGyrKzfTpfAZDJJWe677mO+0WiUkhtptdouPStjtVoZhjkPpFuSJDvtqS19vV33aJfo8odIV4fRantrzcfMWsFFh+HY5r+BOfM3v/LCiPsf3ue24bwPNN9N6xVSfFy2W2tEgusFjGF1TN/pFnGaw25vrK9OOLvac5P4ht9lu0Jw7u3krXRoSfrk1NPflqVMSCr4za2WPfGbbczNboWktsmHjqA1IoQUWwR75dmYyIhqq0BotAghURD4huqkmOguPX3dqUhLjpEt/+z7ggcXZkgRzdJdghIDO98SYcdfeY8eq/VWNWqEVwvdfn3TAQJbfxAV2Un/89qD0sgJiTVbPcsjqnbW9BgRkNFhQGq1yWTSarXeslnKmkRHR7VwTEpJVrQ0ZO6crLhY0sfYtFrt19+c8SwfP1b+bPqlDEXTFLRIpBYk5rLC5LTUVnZy3lNZWf2f1/7xVqvTqZbc07tXzyiDwXDer0H/z4tDGhvty5445CyJiFDX1jZPE7qpzxxLHa4P+Jl2T5HlsnSVw25PCyML6nmzXfw1x3xZj5ATexsBQNCoaTWx9JF+22rpP1wmBeJYcAQyXT6jV9x5EKSD6TzExMRkZ2d7q0UIabXaefPmLViwQEpp267YbLZ33nln06ZNiYmJS5cuDQsLYG5GFEXp76/rqrQYDAaDwWA6LViAPveM65+dsz/PJjY/p0UlNq+JFkXwVJ8BQBBgxg+9No0qVFlkQq4aZi71vMNFCKnU6siYhNOVU7qbf3GrJVoKzQYiihOqAaC7dbOejdMaywGgNGVCQqGMWtQeHB90V68Db0mvaWtDxsmvBER4qs8AEF+8o0D0s54REYQ6LqUegPpXmEckEFEJFQJYy6pSIkOxDN16vJlmFJaZKIpyhjO7NiMIQqPRmEwmt00QQr71xI63QBrY36sZ+uzru3urUqlUvXuFHTseQCqDCyEDoRNV5kSQE6ARQIj+pIlMUfJDS+d+QIeEIAhms1mj0VAU5aY1sywrG8caF9fiaTwpWdHPNHVKqu+o2IOHamTPm0sujpedXXSIqMzSdK2z1VapI4LMH2irr+2O1Wd/iKJ4250yC4MA4OWVIz/48ORjjw42Go3nceCzk5IS40uvHpGc6zUawmIRSBJJ6nNGOpeXL/MNzLut58FA/Dckztbz9XZ1CGmfkc28sU8PAKeq7aeqmxy0j9QRg24dusVjLcqQRJXkVsYQgknwo0R3U5tDOmtsC6aLsmTJknvvvddbLUKow4LCpKyDW7Zs6dOnz6OPPhqo3m2320+dOgUAQ4YMaZ8BYjAYDAaDuXDp2vHb5wcIoSsyW2TOYWKbBWiW8RVAdO2x6fVDp/B0szIiEGT5gucTs3r42Cql9ygTEeF7VJL6LEFlNklvHaY+A0D2obViyxA/QpTXN5Eo8MbgE/jS4VEVgupMUcn5Yet+DuG9uza7PnqZzWZnnnSGYcxmM8MwDMNwHIcQYhiGJL06Wjix2+0cx+l0Op1Ox3Fce88fMAz75pqj3mqzszN8bPvqy5cp39GMacldfVlNQISFh3uriivdoDACSzq6gsgLb7FYEEIcx3EcJ61pZRjGczpEwu13aWzwH+8aGqr2ZiMjwTDMK68dlq2yhvlPp6aXy9EsiqKt9Kzvq5m9oSYzNtJv/5g9e09WVsp41vfoHpaUyD326GCDwXAh/HEghBIS2JXPjtDrHQBgsQjgMuXjVJ+1WpKi0L+bQK4YZATll0fNWq3W4XD4sCNym3A+C02Csl/1mQTxkgFepwwxmOCQ7lu80WHqs91uX7Vq1e+//969e/cHH3zQh/osCMKJEyfq6uqkxLyiKDocjvz8/FWrVuXl5UVFRfXq1atjxozBYDAYDObCAUdAdwpioqO6l9SdNjeJbjayWU0zmnw5YDQ02LXT5mtm3W0ymUz1tSqNJiQ8MtnfwlKEkNDvbuvhV2nRl6+lE63YmNtnVtrRLzyr7GqdyqYHABMbxxjLlfSmEEKwK2+sOrFFHHpVa3anjk7Iq6jOiI3Cy3KDxscjlpt4JwVBO40OnJKfTqfT6/UAwPO8SqXyYdZhtVolFzkJtVrdfmkJOY6bPVfeoAYAEhK0vq3TOI598blhDz36h5J93bFoZMDj6+IURV6SXCP/9dL2eiP4mYogSdJuD+Ba4USr1RIEIR1vTliWVagnnj3rNejVZmuaidHpVD5yaQLA2UKj7N5SU9h0HTojbznezB+N2iluRaJI1FVmpqcVlZZBZJznJqIoEvWVGXEyVRg3RFF88in5xAlPLB/scDi8WbicfyCERFGgaYrjmm9OPA9ts7n5diUjQ6cP5rxs4qcTeoMdXd+HXf+PEQDiWShr+Vfget6MSUI1isMppiaru67ZJQbjm+PHj2/evBkAzp49e/fdd3s2ePfdd6WZXYfD8fTTTzscDoIgnKuI7Ha79H/60EMPhYb6nwTFYDAYDAaDCYgLKNSukzOxXyYFTc9z9WIAEwPHjp8FAIZhohKSQiOU6qcqldraZ7EFhfhvCgAA6egPGy1zMyqpzwDQtuqzX+qiWqRAScn5vvVhaOqwqLN6q5L8eBcOPM8Xl5QfPpZ/KqeovLzKd2PKe7ia22FptVo5jvP8yVw1ZbvdbrPZFCZaUd5SCWq1muM4KSjbbxDuDbMy/XY4enSfW+b7j7l7YvmQ0NALbmF4aK9LvVU5VP7XDgenJTEMY7VaPac3lM8/VddYvVUZjE0TITU1Vh+zMhRFvfzqIdmqF54bnxjvXyO2eVzzqIaqpPg4AEhOiA+xNNrqmxey8BazWFeVQAlJWH1WRk5OkewEcEa6zmKxXDjqMwAIgiBNEx7+x9+syL/Ex7fKSsgmQIVJ/PyfpjO0zOfyBp7xeqFAII4Pa45hT1bbUpISWzMwDKYzIwiCdGdlNpv1cjjvu0iSvPLKKwcPHhwREcHzvMlkUqlUPXv2nDVr1jvvvJOdnY2jMTAYDAaDwbQ5OAK6s0AQxPQ07bcFVgAQgOjbO+zIMUW+sRt+Khw+rHcQe6Q1Gn7gA/WH3wvji/w2JsHR0HNE9CF5N0xPzEyM1lQZxKgUora0yAiHQLRVldAxSa3sllTTRY3GtPD2TRFTVV279rN/TuXrbXaB1ZJjh8VMmZAZE93pVsRv2nbk5fdO8i5hbqyWvHJS4o3XDJK1yCBJkiCQIMjMBLjFqAqCYDAYCIIgCMI1RNTNr8But2s0Gh/J4toDlmUNBvsLL/1VXGzUG/yH8MXH+ZeMEUILbr6oV8+opQ/v8dbmieWDJl/aP7CxnhfQWsZAJ3LWEs8qEakAvOq8EkEI0CzL2mw22dhkH4/cVVUtDkIfx8ba905LL8xmhw8BmqY1tbUyny4tlUtJjkUIEVAn+Mk0iKx1NXR4JADwNksMKTKxsc660NDQ0FAQRZHneYIgCJqBUJxUSimCINx86ybZqocfHMjzgXsbd3EIgti3vxwAZkxL+uHHYs8GHEs5p14AIDVNl9eK3RXpAVqGOXsjUgP1ID/7iECcmaUzW2mol34v8fIB/ucLMRglOKXe4HDGHbctAwcO/OGHH5S0JEly5syZbT4ADAaDwWAwGB9gAboTkRAfn1FyIs+uBYDUdE6hAG22BG87QJKkdtCivIJTGVWf+G0cz58ojx0YVXFQSc/tqj4DAGsodSuJOLbBGHNH63smtWxeaWVGQkzru3IiCILTg2Lfn0eXv3rCWVVdB598d/aT7852S2VeeGRMWKjSmPT2Zt3nez/b4K4yGM38Zz8UfvZD4WN39Rg3up9bLUJo8kXRv+yQ+emPntZ3S5HRrH0bFACAxWIhCMJp1uG7JUmSrQlgRwixLDvvli12u59RudKvX7rCzkeN7LljS9an6/esfS/HteryKYn3Lxmv1WoCG+75AkKojushK0ArEaACFaB9H0s+Dsj1X+a0bOl1F2fymvv3ITH89bf8RfL+JYOlrWb10K0/5eewN+obEYixOoblGNl9dWTyq/OJhbd9Iysu3bawl4q6ENfJEAQxckT8mrXHf/xZRn0Gl8B/idTeUXnyDduYgQmU+91AE+KNvSPVajVN2wGqAdDUBBKbb2DaijfffPP7778PevPffvsNH40YDAaDwWAuNPBzaefissHZa/YViICGXJz2o1yQkSdz53Rr5U4T03qYU56qP/ZdnOWA73iM0Fi7WEEgCECekzjZf1H24XeCHqESosv2GcXb4V8JhrdZSXWQngyqiOiyisr42FZp0KIoHjh0+pGX/nEVMe6Ynbbm8wLZ9rlnTdfesXHmlIRbbxx1zlc+lpVXeqrPrjz91qm1X+Z/8tp0N3PnOVf2lhWgy6rMngI0RVG+U7RJSOHSDMMQBGG3211tOlzheV6y9UAImc3mQCUijuMefnTfA0v6B6Q+R0bSDBPASnOKoubPGzt/3tiAxnbe02FZ3AiCsFhkcso5sVqtblH5TtJSQ/buq3AtsVh4jcZdQTh9ujkhqkpFeDvCWZb9z+v7PMsRgoEDmqY0IsLDRofX7q7zmmBTi4SeqUntnYHzAuTgwVMnT8skto2N1Y4eGaXkqnX+IWUqEwQxPExdU+v/G9jq/Q/k2mzV/07Z5ZbKBEOdSucxUSX215gGZ2dI/6QqlWpMuP2snk9P7dk2u8RgAE6dOrVly5agN78QkpdiMBgMBoPBuIE9oDsXCKHbhiZfFgfxHOXMJu+DhHjtgP5t8ExFEERE36sN/R8r0U0wEZHe7ou1YuPZgXOC6L+91WcJc8Fx52tP9VlsrFPelZ2L8Buc65t1X+x/uKX6DADe1GcnX/1SuvDBH4NLqtaGvPKu/zj3imrbokd+cdN5Y6LDZRv/sLnULdiH47iANGKTyWQwGCTzaG8CvcFgMBqNRqMx0MAih0M1e+7vZeXGxQ/sDmjD9R+3KvUlxjeE4Md/I1AYhvGdqVLKyORZzrLc5y0joAGgpNTkVmKzCS+92nwV0ulU3lSGklJ5U9tJlyS6Hr0De2Rcl6nRIPdrEY2EyXHCguEpWH1ucwwG491LdslWvfby6AtTfZawWq0RERol6rNWK38FDqXh8SkpI/v3uHuk/D9FoGSEgllssS8G8ddkMEN6Zrr+TXRPS5k+FKvPGAwGg8FgMBjMuQQL0J0OiqJSk5P6ZKVv3DB79Iho340ff3RYG+5araajsieSg++zDnm6OHGBkZBxJe7m2GGlw9pwp24IRPBR+WmHP/RRi0Lkn3itddWehYgki0qDT6tYU1O/foN/Z21ZzpZarrtjg9Horm11JCfO+Fn4L5FfbLp7+UZXpZ4kycxkGZ9Zm13QapsjhWmaNhqNwa1jNxgMkjG0twZSELTyDmmaueOenQBgtwcWkfTkY0N1OjagTTABoTEWtlVXDMOwLOvXyIUgCDfJWKVScRx30wKZSLedu1sE+4ui+OhjLWZuamutsgIxwzCPLNsvO4A7Fw1xK4mNjlo4PGV2d/aSBGJQmDgliZrXO/TW4SlZaSm+PwsmCERRvOven2VnDS6dFH+BBy2KopiZETJieGy/fn4yFqxYMdCtJJSGW4eFPXZF79CQEABITU5k22IBXnZ8s3NRImW5IkU9e0BiWKh7wuQ2TFGLwUisWrXKoRij0fjpp58OGjRI2hbbImEwGAwGg7kwwfdAnRGKonie12joF5+fVlVV+/Kre3btrZJt2TO7XTQIhFB0Qjok3FdRWyUWb4uzHpbKRYBi3SWh146s0TdYj/6ekPdrm++aEBz1kdm1va5kbPWhR/4XkJe0xlTJWy0k3cJL17PEDTo8Sn4kkXGBSplOvtt43H8j7xhM/F3LN6/7z7Rz5cVhdyiN/s45a/z+18NXTW2WG5LitGeKZNTzihoL+68IIAUy+1UDvSHlJNRqtSRJynai/HvjOG723N+DGANNExMvDib5J8YTbz9XXOlPVcmLfK9FQAgxDGMy+Z+wMRrlg45doSjKuf5Ao9GYzeKTTx8oOKuXbVxW1iIt4Q8/Fjc0uq9dqKw0syxyCpcqlUqlUq3/IpfnZaTM5CQmJkb+chQZER4Z0TZBoxgf/PFnTk6ujPkGTRObfi+bP7dXxw+p8yAIQmy0duZ13ebM83PNPNbQFJUcoYHeUcTo7PjoSPej96IkYmNBq5YZ9YhAtIrsTVozonThITrZ1LgAQFHUOXe1wpx/yK6V8cThcBQUFFx77bWHDx+WtoqNjf3222+xATQGg8FgMJgLECxAd1LUarXkdRsdHbHyuWkGg+mjT/av/6rA2YBWE59+OLW9wyjCIqIh4jqLeK0gCKIokCQVgxAA0HQMjJ9jGnG1+ffVkZWH2ninNSfDdr5QH9WLmvmi3mQ07P8m/qwioz0EAAWHoMcI10Lf6rPP7lBjY2OoRyyVEk7nBymtOimusKz9ZM+ieaNb2U9wEAgJCvK/Sbz1ae7k8dlOK+SkeBagxrPZ2+tzH7g5rY0GCPCvDO0pZEtag9+EhCRJMgzjTVv0y+o3JuAHyLaCZKPlDhngSa2SmFO3H4JlWYfDoVKpnAeGVqtVolBLXUkeC5RKu+jOnSazL7+O2jorQk3istHo+PFnmTyKix/YPW5swu239rLb7SKQ9z+4p67OKnixv1312qVKBolpJ3ief+j/ZMw3NBoyNFRVUeHLPfxCQBTFWddnPbJMxrvcSUgI9dX6a0JCOFEUBUHwcZHsnhymPGe6AAAgAElEQVS1sSDIZMWXphHjBmRqFMQ14yScmHOFKIq7d+9+6qmntm3bJs1rDhkyZNmyZZdeeinDyCwUw2AwGAwGgznvwfflnRSEkEajkfJliaLIsto7bx9/5+0AAL4f6tppMCRJArjvlNZo6Gn32wUh/8if3Q6+g4Rmsab14UZh1cfFD+dbZ7wcM3F+fcOVum8fIAX/zsjxp76vbClAt4aq+iAF6Db4/ABf/1o6YmBe/74ZbdBXgGhowmAKwB9j8ZNb1q6cKim/l43P+OwHGeeEft1bOLe01WJ2z36kuHWKogRB8LEXnudFUfQtpnhjzarRPXumBbEhRhZ1Qj8o/NKzXIkAzfO8zWZzCsEAgBCyWq1Wq1WKkQcAJX7u0oSE1InCuPg3/jOuW7dUALBarRMmfeqt2fYdpdt3lPrtLSmJiYnx42yAaVdyc0tlfXgeun9AVlYYQhe0/wYAaDSaN9464mPS7q7be9ww5yLp9b+3DV5JjosiUKXnXAwCCKWh3gqJHMzopeuWngoAFoultKKK1dAREeHeIp1lweYbmI5HFMWjR4++/vrrH3zwgfSf0r1793vvvfe2224L6OjFYDAYDAaDOc/AAnSnhiCI8vKq2+74pbKqORnXwlu6Xz61d0x0eCdZVUoQRGb/4WL/4a4PkkW5J5P2vEo5zF43UwACiPphafmkJ6KTM2H++wW5J+L+eEdjqfWxiSYQyw6/UGHyy+H90i2F/ftoQ+sHsOyVgxvWpXf8D33jFclvf17gWU6rCatNRsvLLzY550UiI+Ql+x+3lV4xKcEZiGo0GrVarRTFHDQ0TUuTNG4QBGE2m/26fIiiSJJI1gxBrk+gaXLQgMgnHruY47D1c1viLZOexlrhN5Ld4XBIx56UXZBhGOePHtDRpdVq9Xo9y7IIISVn3KSJCZL6DAA0TY8YFrXvDxk3eeWse/eK1myOaT2rVv8lW06QSKUiAEBhHP35iiCgPXvlUyPMuj7jjtsuqq83/PzzX/UNthAdNWp0j/CwEB+nEkkQj09N/3RnXhxpF8z2v/6o3L6zxd/31t/n0v9eGTQaTUZqcqAD1miCXf+EwQRLRUXF3Llz9+3bp9frASAsLGzNmjWTJ08OD8ceShgMBoPBYC50sADdqVGr1fNu+amxpa/oex+cfu+D02Fh6hWPjxgyuFsnkaHdSO6WLWa+XVZapD3wpVZfrLbUBT3KuE0rSkfeG9tzSHK3ntDtNbPNWlteStYXidpQVViszWqhT20mrQYQ7MA7AES7oVHFhbTNxwj2ux01JOXLn/3HPLoSF0WXV1vdCi02ITevOCsz4AfvVjJtUl9ZAdpqEwgEsv4Bfx88MWxIHwDwEeCj0DNROQRByKqT0knhN+5VYRT2R+9fkpmZ3OaDxzghSK//RIxWq/c+i4AQ4nneKTozDCM7IeEXmqadsrUoin4PDK2WXPHEFNeSObOzWiNAX3JxPMviRdnnEp4XDhyUn9202QQAsNlsweVNPT/QarV3LZbxJwGAWTPTEIjjJn7csvjIxIvjn3piiuwtiiiKxSWVd9+7qcrjX8/J2nd333PXhOBGy/P8yZO5gwf3D25zDCYICgoK3nvvvTfeeEOSnmNjYxcuXLhkyZKoqCBDGTAYDAaDwWDOM7AA3dn58bsbxl78oWd5fb1t8f07IiP2vf3WpMTEuA4fl38QQjGJKZD4IAA4BKGuooT+45PQmpNBdJWw941C4oHEHv0BQK2m41LSISW9uTppgWtjLc8X1jaodEFZZ7TEoa+HkGC+2x7d4r1VqVWEzS4jjHqqzxIPr/zrf2s7WoDWaDT9e4QcPiWTjMuLey08/87pb4f0AQCEkFZDmC2KsksRBKHEHsEbstIGTdOSf7rfnq1Wa0ICU1TkNTcdQcBbr4/LykoNeoQYJQRt0irlDBRFUafTAYDBYAja2kU6FBFCOp3OZuMjwtW1dTbZllot+cuGOW6FAwdkA+wNbtcsSz22DLs/n2Nqauq8VdXX2yRF6YKFIIjdeyobGuTPiC9cslO4snlL2ZUzzgwe1M2tnOf5ZY//smNnhe+dbtlaes9dAQ9VFMVdu0/8ujH/5RevDnhjDCZwRFHkef6ZZ55ZsWKFVEKS5J133vn66693zgARDAaDwWAwmHMFjunr7HAcu/7jy73V1tTarpv90xMrfmmNitcBEAQRGZ/MXfGo6Ya1tTNeNHEJgfaQsvuV8uKzSlpSJJkRHWavCiwAWZYoNsgFvBRFTR0fK1u15qkhAXXVaHCckx/3qaVjA2qvNzbHBobqFLkckiTZyo8m+fY6DRwk62eEkJTwx6+syfP8S8+P8lY794aMrZvm9e/vrp5g2hyCICxUmHyd6CeTJAAYjUa9Xq/X64NWn61WK8MwLMtaLBar1Tp/4dbaOlv3LN1dt/eIj9O6thw9MvrnH+Z4eoaQJDFtalIQu1ariW++vEalwpPB55iCgjJvVYVFjRe4kMSybEREMGbKm7fku5WUlVVOnvqJX/UZAEgq4O/cZDLPmfvlCy/9vfL5Ky7wnwzTMRiNxueee6579+6S+kxR1P333y8ZQOMjEIPBYDAYDMYNLEB3AbKz0+5b3NdHg02bSy+57OPqal/myJ0EmtaERsWRVz/trUFtlNdPGvf7U8oFpozkRFVjlSj60jcdZpNaX001VAp2mfSG5rKiIDMQAgDA3fPlcyEu+L8/Au3qTF5x0MMIGpbVLl2QFdy2JrO8aPjB13mub4NzS3BFr9ebTCa73a7RaFiW5TiO53mLxaJSqVy9gH3g44i6cc4wnC+ow2hk0mTLkws+8pHKrA2f8A0Gg9FodDgcarVaEEQAOJ2jf+vtU2XlZo6jnljWNyOdW7tm/IsvTKdpecfq+xaPC3SnsbGajT/NCQnhWjt6TKvJL5BZ8CExYnhcWyVN7bo8+8KBILYKCWlxshw+nHvN9Ru8/UG4sezhQQHt6+ChE5OmrD9baPzfV7OCXlSBwSikoaHhm2++SUtLW758eX5+vk6nu/jii8+cOfPKK69kZ2dj9RmDwWAwGAzGEyxAdw3m3jB25IhoHw0sFn7G1d/m5BR22JBaA0Wpcoctka2KqD4CAKXJMlIOKdjrf1ujfC9xMTEpWhLVlAq8w7OWt5jSwpjY6Oj42NhUnTpKtFhK8uwNtQ6T3lZVEilYuqentOYRQq1Wv/5YYM/P3rBYvHpEtCuXTRwwdVxMEBsaTDJfOADExzQHk/pNLqccURQtFosUBiuKIkEQNE23Pl1Y6/VxjHL4aHm3VtpardU2HTaeKcXa4yH/l43uV1GDwbHi2SOjR8X36Z3pY49areZ/X81QOCKKQqvfGPXt1zfQdDCBpZi2RRTF19884a02I13XkYPpbLAsO+vGTcFtO2J4ivP1n3+euuOe7cq37ddP6QyoKIqvvPr7XffuEUX45stpoaEX9O+F6RhefPHFa6+9trq6GgBmzJixc+fO3377LSUlxe+GGAwGg8FgMBcsOEiky7DqtWsnTn6voUEmVtfJTQs2PfvU0Anj+3XYqIImrffA8urJcXkbZWsTiuQfU6NK9lWWTY+MD8ATOSkxEQBqamsNNl6gtYggQBAoU0NaYqJrM61Wm5WZ2fQmom1yGPbumXnxiMIt+4JPTSaB0Dk7T+9fNM5k2bZtf5XflmEhzYMMYal6vYwGvWVfxfhhYZLurNVqlUQoBwHLssoNW30ENtbUmKKjI9toUBg/oDCvRtsZuW/mpN8BAJJHs+tP1uaZIbVa7dffnJGtmjXTf0KzuLjoLb/d+PiKTTt3eXUYiIvV3re4/0Wje+EQuc7D9u3/yJanp3H5BYZO7nDV3kg5GIOAIKB3ryZfmt17jj34yD7l2957V7aPpQ+uWK22227/LueMHgCef3p4ejq27Md0BPX19dILmqb1ev0DDzwQ0OYbN25UeIRjMBgMBoPBnDdgAbrLQBDEhm/lExK6suzxP+++wzhn9sgOGVTwIISixs2pEmzRBVsD2lC751245qlAdxcZEdFCSgzvoDXvj947QUVt27jLv4Drg4z0RP+N2o3li8eP33fyyTeO+G723AMDnK+7pbJ/HW3wbCMK7RKy6opWqw0oXZiP8RgM8mkhMe1BeGQMjyhSlJm3IB2m6JpdFeGj7Ha7Vqt1ZphkWdZsNge6I4SQVqslCMJz/oOm6R9+LDTL+QPQNBEersiQh6bplc9NKy+vWvnSnv1/Nk8+sSw189qMa67qFxHRBvlRMW2IIAiPr/hbtmrKZQlvrz19IftvsCx74/zNwW174+wsycVo+/Yj//dYAN5TLEteP9OrO78rtbX119/wvdHoAIArZ6RMnhxYigUMpvVYrdatWwO7jwWfk98YDAaDwWAw5ytYgO5KcBz7y4aZU6Z/5bvZm2uOJyboxo3r0zGjChqEUPiE+VWbHdGFO5VvpWsoaNQ3srq2CVLuAJbeMY4kd/y8vTK4zdOTtAzDtO2QAuWiEdlf94i/67FtlbU22QYXj4jK6pbmfHvrrJ5/LZcJdouKoJ0PXe309BVQSBHLsnPm/e6tVqPFBtAdB0KoNnxYdO0ez6pCdtiCp9HqVSqr1WoymSR3V7VaHUQEvaQ+S/YsHMe59qDVate+f3LHTvlMdI8/OkC23BtxcdGvvnKFw+GwWKwIIZWK8sxbiOkknMkrcvDyl6MTJxoiIjQOh7yn0HkPwzD3Ld0TXPy3hiZuuXkkAJSUlMuqz9df123DTwUmOb+m9R8rSiF4/ET+wkVbpNcZ6dzjy6cHM1AMJij69+9/1VVXBb05XgGDwWAwGAzmAgQL0F2M2Njojz6YfNMtTc4VDEOaTDLxev/32P6vP49OTIzt2NEFDEIofOLCs4d7ph5Yq3wrw6m97JDJ7TeqtgUhdN9tY/v2OLJy7alAt42NVK9+tlN80vDw0M9WzThbVLH+u+Nb9tW4Vi2+KfPySwe6Pk1lpCcRBHjKFjkFeqfzRns8fSGEAjJu/u//8n3I4BoaXx47lqzLYb+7AL1LM2vJo6cBYPOW4uHDwgBAUgOD0wRZlpWVrbVa7YpnDuTkyoTtS4wfH5gALUFRFMfho6iz8/obXtPrbd1eMX5cwoVpwcEwzNKH91VUBrzIQOKjD6ao1Sqr1Tpn3i+yDb78Old+w/cvjY4O99v/rxsPPPXsQek1SaLPP50T3DgxmOC47bbbbrvttnM9CgwGg8FgMJiuBH427nr07dPtkYfKX3jxMADIqs8S183+8befZ3Ec24FDCwaEUNKAi4w9BjOf345AUVQs2VDa3qNqWxBCk8b3GzOix033/1pTLx9EDADPLe3fLS06/2xJUbklNoJOS4mNi4vuPGEyCKG0lLhH7437v3tEADCZTBqNhiAIzxEihMJDVDX1Mn7lz799fMlN6TzP22xev4eg8SYvykLT9OYtxT4ahIZqfdRi2pzQsDArFUo7mlRgHshbvh177Php6e3vW0tGjYxsTeJK15BniqIkKw+JvDyDD/X58WX9Os9piGlbBEE4cKjWR4NFC3u1k1t9Z4Zl2SUP7K6sCjIR67MrBiYnxwHAk0//brcHIN+vXT0+K8t/jocnn/r5t9+bFyv8+uNsyesDg8FgMBgMBoPBdFraOIMTpmOYee1FM6/L8NvsvqW/dhWbOY1Wy9/8YXmPKwTk/5gkhC65IFqjob9cfcWqJwZGhcs8Kt8zt9uwQd0jIsIHD+xz5ZQhI4f3jY+P6ZyyF0IIIcSyLEmSoig6HA7Pw+zGK9Jkty2vskgWCjabjePa0olbo9EIgqDT6fy21Ol0CCGCIBoavYrgJAGRkWFtODyMEvRDHpRe5KqGjl454NjxZlG4oEDfShcLm80mnVAcx1EUZbc3TZBwHPf4U39624qmiUmXDG7NfjGdmfoGX5bxgwZGBbSo4vyAZdmlD+8NWn3+f/buOz6K4m0A+MzWq+m9k0ov0pEOSlEURKSjIIiCYu+9F1RUuqigdLEh8kME6UgTEDAhJCEJpIf067e3u+8f5xtjcmXvcmmX5/vhj7Azu/dccvWZmWd6dPMfMeImhFB+fsnhI8XST9z89a1duyY47sMLwuNP7aybff5xx52Bgc5nTAMAAAAAAABaFsyAbquee3pcUdF3R4+VIISioxR5+fqGfVLTqi5dutq9e2KzR+cOjHHwzZMtAyaWXzoScmELydvdAs4S0drLWzvQKSVx28pEvcGQdbXo9IVSjc7So1PAgN5xLV7oWQqO4w6fyPzzYilDE3IZceZS1fXCfxZox0crbh8ReevwTjIZixDq1TUMocyGV4iPUdUm/jyLJEm9Xi+KonVvOger5nmeLynhExIcvfpNmtSBIGB8rrn5+Ppf7fDA0TOVK9Zebdgqio36i9SOedSd0CqTyRYuPuLgrC0bJ5AkPBK8ltHgKM369BM929v0Z4VC8ewLpwqLbHyikCImWrly+UTrz2++fUziWXIZufmb28LCgh134zhu4aKf0q/U1B7ZuH5MbGyUe6ECAAAAAAAAmhMkoNuwTz6avGDhtnN/VdjMPls98vjRw7+3jQS0FUmSIT1HiD2Gl5YUipf+F1R0hrT8J0FQGdw1qFP/lgrPUxRyefeu8d27Op/G3npczS546OU/BDtT6rPz9J99k/nZN5l3jAx7cM6AqMgwm90uXamSyRKtu8B5dno+z/PWC+p0OoVCgTG25qMb9iRJUqe3XL1qt+QCSeIF89r8Y6yNikzstmL+eptN3/14dcL48MY8bOolEwmCOHW6rMbORHiM0bZNt4eHBbl9c6D1czzO1N6qP7Msu/TjC3n57ufc16wcb/2V6vXGS6lVUk4ZNjR0yOCojZsvyGTk4EExPXvG21z6YzabJ0/9trz835Hpz5YN7dKlLX28AQAAAAAAoD2DBHQbhjFet3ba1Bkbs67aXUTMcUJmZk5SUofmDKzxMMaBYZEobIEoztfqdbrCLK6ikGAVirjual//1lmYwruZzeaFL9XfIM6mnw8U/+/IzhWv9n9mfsIHX9SfxyqK6PTFyq6JLPL0PoR1U0V6vR5jrFAoeJ6vt4IeY1xeYezeLfCNt/+0d6lVnw1Tq1t78XRvRRBE185+f6fZSF3t/Dl32pRED85I5Thqxeq/bTZhjL7/9s6wUMg+e7mAAF97TUol5d5el20URVF79hb8daHceVc7Zs9I9PPzsf6cdjnPaf9pU+JSL1cdPlJy+EiJ9cjW7dl+vseXvj+4S+f/jM7qdLrb7vjWXKec9Buv9B58cze3QwUAAAAAAAA0M1hZ3LZhjLdtnhUW6mi3tEWPOFpg3sphjOVKVVBSz/D+40N7Dlf7BUD2uUV8uEbqYmqEkMUiPvjyyQA/mc3WL769Kpd7fn8/nufr7kMliqJOpzOZTCqVqu5jRi6Xf7r80o0bhrTLlfYu1bFjjMfDA9JNmBBnryn3mqOKvdJhjDGWPfSw3dfGDV+MhuxzO+ejZpoiAa1QKJRKpaoOj9+EG1iW/fNc5dbtWU57Tp0Sa/N4UCC78IEhtf8V7C2WQQgh9OpL3X3U9LYduZf+rj/UVFXNLXjwYPqV7DqXEu64a0fd7PPTT3S97TZYpAIAAAAAAEBbAgnoNo8giJ9/vDcgwO72XDq95X97zjVnSMD7HDzl8rS45z5MtXlcFFFOvgEhpNVqPZt8abheXhRFrVZrzfjUHnzt5T6PPG43n44xqpvIBs1v+NAUe00r7UxYdpXBSM5/8JC9DNnCBclJSbazbMDLZOcU2Wv6eOkgD5bgkMlkLKtYsSpz5r0HZsz5ffrs/dZ/980/oFarWzYNrVKp3v3gwsrVtl+x69m+41rDgxSFv9t+T916Jt272XgGsQzx2svdMUavv3WxRuNoM4A1ay9afxBFce6C7w0GvrZpwf3J06cNg6FoAAAAAAAA2hZIQHsDiiJ377w3wN9uDvqtd89XVEiqxgiATR4t14ze/zzNmnDhed5TeQSe5+1t5KjT6cxmszWtbDab7194yMF11GrIPrcwirJbG8pgbOwDhiTJ0hvCI4/ZHYEI8GfmzBrcmJsAbUVmVv68BfttNj30QGedTuf2lWmaZhiFxcKYTJRGQ+zaXTR77qE58w5cuFR/JM9kEqbN2vfg4sMMw7Is6/Ytuk2lUs2Zd+ByuvufECgK/7hjEsP85xOITMb+/MOkbl39A/wZf38mvoNq0cJkk1l47c2LUt5NTv9ZrtXqEEKff3E0M/PfXQcnT4p7aOEtbocKAAAAAAAAaClQA9pLsCyz84eZ4yZs1GptLxl+cPGe7VumwaQh4B6MPZmDFgSkN/AIIYPBoFKpPFXV18H2dBzH0TStVCpFUTQYHC2rf/ZJqCvawgwGk83jPj70yk+HaDTuV+FgGObY8RvrvrrsoM+2zXfB62R7kJ9fcu+8vTabAvzZmweFGgwGNy7LsmxVleXVN84WFtndHLgupZLS6SydO/t+vTFjwf1dTKb6D365XG4ymZpiO0SGYa7nGV9ZtL8xr+2BgeyOrVNkMhup86CggLWr7kIIXc3On33f3lVrM1y68sFD6cOGJn+9MbP2yMjh4S8+f5v7sQIAAAAAAABaDiSgvYdSqdi9c9bw0RtsfpnML9Dn5hZ36BDe7HEBbxAVJssrMjrvJ93/p/gMBgPLsg3TLu4hCMJepkYURaPR6LT89KBBnT0SCXBbWlqhnRas10tK6tkkl8u/2ZT52/58B30++uBmlQr2n/R+Fotl2qxf7LV++vFgg8Hl6c8qlWrnrtxf/ndNq3VUXKIenc6CEDpxsmztyqENh+KsK0U8nn0mSdJioZ585lRZeaNe1bt19Vvx6R2OaxatXXekbhJZuj9OFO/b/+9Ohj26+y99f5Ib1wEAAAAAAAC0BlCCw6uo1crDv99nr3XVmjPNGAvwKo/PtVuWtxbGSM6SEi+4ddc16zxTnucRQh6ZcyqKooNMDc/zBEFcc7iLXVycskVWwQMpamrMLGt7Z0vHCIJQKlWLlxxznH1+4tGuA/o7f5wDL3D31O02Xypmz0peu2qoyeTaOAfGWKVSTZ+9f9u3WS5ln+t6+bUzdTO51msihDy1QKSWUqnctbvwgUWHG5l9fvv1vmtW3uUg+2wymWbO2e5e9hkhFBBI/3nun4olN/UM+GrddFiaAAAAAAAAQNsFCWhvo1IpD+6bY7PpzFmX95EDwKpblyR7TXeOCrX+QJE4wM9uIfJ6/jhXVpu5MJlMHkn7ms1mB9cRRZFl2RdfPe3gCl+smdj4MFqnktIbZ1Mz9pzNOHkpIzM710G5khbn5293lvrRY/YmR9tgTeGp1eoVqzNmzNlfXeMoM/jGq73vntwfMlztwcmTqaU3bOReFz/YdcTQYAKb7T07aJqWy+UqlUqlUimVSoZh5HK5QqEoKbEsXHy4MSFNvDN68l0dOI5DCBEEoVKp/jxbjZom+zx3waEfd+bYbJXLJI0gsixx4LeZI0Z0d/B8MRpNo8Zsysl1P/6hg/95Z7llVPi6tVBADAAAAAAAgLYNSnB4IV9f9cF9c8ZP2Gww8nWPDxsS1lIhgbYOY/zy4o5vrkxv2LTz9xLrD5xFLChxp2oqQoimaaOxsSU+OI5Tq9UIIQcFPXheXLI45bOVVxo2PfFYV4XCnQm2rZkoihcycnbnWRNqtdklHmVnd1Lzt/fqwDCtbtPFuNhge009ugerVEzdrJw1LcWw8u9+yB7YL/T8hbIunf3jYn0uXirPzKr++ZdcKbe49L1+Nw+C2t/tgl5veOKZkw2PkyS+eVCovY0HFQrF2XNly1deUiip6mrukUUpcXHqd96/tGRRyjsfpJpMvM2zpPtpZ976dSMsFoNKpVr68V8aDff6K30aec16MMYymWLugkP2ol04v+OUu3uNHrvVwUV8fOiPl97cuVOC49viOMst4zbbnGP+8KKU1WszeN75AJifrxohdNfE2JdeuN1pZwAAAAAAAEArBwlo7+Trq/5tz5ynntml11sqKk08j24eFProI8NbOi7Qhg0d1DX2x2vXCt1MMTfEMIzZbPbU1azMZvO5vypUSjo2Rk2SFmt9Dyuapj//Ig0h9NnKK4NvDs7J0RUU/meh/cjh3lZ+wWKx7DiTna2zPavxsoZMP3J9aooiIbp1lYaXy+0OAyx54lhCvM9rL/fVarVyufzs+fJLl8r0Bv74H8UIoZ935bpxcx8vHTigPxT+/g9BEGpqakpKSqzPID8/v6CgIIaRur6hNXvquV9tHud58YOPLixZnFL3RYMkSZpmL/5dvnL1n3q9BSFUXc0hhDZvy62oMCGEXn3zYuNDCvBnVi0fxnEcyyqnz94fHCRb/smQmhozTTc2r10LY6zR4vkP/m6zNTxMvuLTUeHhoQghliFMZhuZ47hY1QvP9e3aJd7pbXEcd+u4TfZSzGqV4r23Bzz93Amn15m74ODsmUmPP3qr054AAAAAAACA1g8S0F5LqVR89sldU2dsuWV01LR7bvLxUbV0RKBtwxiveHP0zEf31GgtLR2LXSaTqWd3P4KgT50uPP1nxSOLul36uywoSB4Trf5s5cUTJ/+ZrH3s+A2SxLNmdNi05d+l6EqlooWibhKCIKw7nlPBOVpTLyK07Yp+iliYHBPRbIE5RZJkQrz6araNat0cJ6RfqZp57/7bx8ceOFSg0bhZb7fWx0tvHtC/YyMv4k0qKiqKi4vr1aCorKysrKxUqVSxsbEtFZhHlJVV/PVXhb3Wi5fKWVbG8xae5zHGLMt+8dXl3w8WNOxpzT5LFBEuLyyyO26HMSIpXFKiDw1VTJu1b+P6kTRNXk6vDA1VYOyZV1qSJIuLLS+8cspWE/7koyG9b/q3wtK3W+/84MPjJ07dEARRqaQS4tV33J4wbGiSxJdHQRDunrrdZgobIUQQqEf3IKNR0v1atLDT/PtHSukJAAAAAAAAaP0gAe3NaJr+bvvs++7fum+bwBEAACAASURBVOGb7TcPDHn+2SEBAX4tHRRow+Ry2cZlY+5ZvMdefsElTVTTk+M4hLgB/cMys2pOnclfudpGtQ2EEM+Lm7bk3NQroKDQUFJiGDk8jGW9YYJnre9PZznOPtfakWF4ItjoYN5x8xvQL9hmAtqK58Wdbk12rgtjtH7dmOTkqEZex2vwPH/lyhUHxcG1Wm1lZaW/v39zRuVZHy77w0GrIIgz7/2donB4mCI4SHbur0btmtC1s9/Ue1IG9I9XKhXPPLfr2B+lNruJIrpxw7Rq7aWMzJrNX488/1f5XxfKZs1IFkUOIcpiaWwOWqFQbNl2dfeeaw2bEhPUX6ydWG9ie3BwwNL3J4iiKIoiQbi8TcjK1UdulNnNzn/95UiLxcKypIwljQ7rlrzwbI+7Jw929dYBAAAAAAAArRYkoL0cQRBffzXjhZd+2ruv8PaJ3w+5OfTdt8e78a0SACulUrF9xbhJC3c3fhO7uqkurVbLsqyD2s2uMhqN/v7ylauvBAWyt94SvmVbrs1u585XkCR++snOA/vb3WWxLdJotBlaSdlnq61nr88bnNx08bhq3NiUzduym+76EWHyTRsnyzyx9aV3qKysLCx0vsFjYWFh201AC4Jw5GiJ024Wi5iXr8vLt10M2qnPlt3crWs8TVO177MWi+X4CdvZ51pms7h25TCCILp2Ceh9U7DRyMvlco3G7hiMFARBKBSK++4/YHO8cOytES+9MMbehwGMsRsDhDdulG/dftVeq0pJISSYzRxBMCazo+zz++/0Hz2qt6u3DgAAAAAAAGjNIBHp/TDG77496Z674xBCR4+XDB6+/uy5NAfT3ABwTKVS7N04OcjPk/OFRVGkaQ/vhjfxjg4Yo7Jy05ZtuQP6B8XGKm1243lx6UdpISEBnr31lrU7tcil/kVG0ui57H/jdegQzjBN9fb0wTt9vvt2BmSfa2VnZ0vJPrd1er3H6tfbFBmpOHZobp/eHVmWqZvYvXw5z+n77Vuv91OraZNJ2LX72vTZ+xc8dKiRo3EkSeZeN02fvd9m9vmVF3u98tI4jw9FP/bkPgetjyzuhhAiCDYvX+PgF/L56pG3jO7TROtjAAAAAAAAAC0FEtDtxXPP3DZ3zj8zHB957MSU6VsrK6tbNiTQdhEEsW3Vnctf7ePn437W+PjZstqfSZL0+KCIVqvdtGHkLaOiEEInT5Vdu6Z7cEFSYICNvHlSotrLlgVc17mcvvnzco7zTs0FY7x82VCPXzYhXr3z+4mDB/fw+JXbrsLCQoOhaTOzXk8uI1ctH7Jj63SbLyOr1px3eoVnnv9j+uz9980/8P2P2QihWTOSOc79+uYURZ3/q/rNt882bGIYYss3Y8aOucnti9uj1elzcu1OG8cY9egeRNP0qTPFLGt77R3GaOvG8X16d/J4bAAAAAAAAIAW51U5F+DYIw/f8sRj3a0/FxYabrvzu1VrDsFUaOC2Tikddqy+c+lzN0WF2S0f7KOyW+enbq6GJEmdzs017w7o9fpZM/6tLLFmXWZ5hfn+uYn1ur339nCP33TLsrj+tD5d6ULJjmbQrVvCjGkJnrraiGFhP303ceOGe4KDAz11TS9QVVVVWVnZ0lE0E4ryfM0xjNHiB7vs+3VOzx62K9jwPH/hkvPfcEHhv2MAHVP8Ro+McPutmWGYQ0duLF/1d8OmAf2D9v86Jy6uSeqea2r0DlrffK0fQshsNg8bEvn2ezYy4wSBftwxMSWlQ1PEBgAAAAAAAGhxUAO6fZk1Y0hYqPKZ509Y/7tpy9Uzf95Yt2ZSU3wzB+0BxrhX94QNHycYjEatVl9RqVcqGX8/FUWSHMezLJ1xtfjRN07aPHdAz0Cz2Wyd6Gc2m9VqdSNrntpk5uoXG/1yfdbUKbHbd/yzK9dLL/QKDw/x+O22LBHZnQGdrLRk6Gw83w18qxuPfHjR8Ihw5YfLLrp9ha5d/G4dHXvb+K6taovFVsJisRQUFLR0FM1HJmNHDAs7eLjYI1fDGD24oOPdk3s7fmgJgmv7tarV9Msv3KTXO0rmOsCy7I7vr+3anduwafKkuCceG9l0pS3efPuIvSY/XyYxwRchxDDM62+dqa6uP7lbLid375zu5+fbRLEBAAAAAAAAWhykHdud0aNu+mFH6F1TfrL+90pGzeixG7dvnhAaGtSygYE2TS6TyWWy4KB/KylbS+xGhtnNKXAWse4y8yaajJ+ZaaPUzPYd1wYNDD53vuLhhzqOH+v51egtjsQiL9rINGEk2sw+W605kjWjV6iPWt2Uobnmrkl9x43ttuP7P9d8fsVeH7mcvP++pCGDk9RqWUlJdXZOmVLJJieHBgX6wtCaA5mZma6eIpO17Tz+yy+OPnRkU2NeaSLC5RPviLn1ls5BQX5S6vZQFNW5k2/aZakFryLCle5VRMEYy+XyFav+PnHKxoaHjyzqPG3qgKbLPt+4UfHXRbsTvVevGKrRaCiKyszSXk6vSk72mT+3M8eJL75yCiHUo7v/ujX3wFMVAAAAAAAA7waf+NujuNjIw7/fN/a2jQYjjxAym4VJU3auXzciJSW+pUMD3sbXV+2npqo0loZNi17984t3+mm1Wut/tVqtSqWq/a9HEASx7DPb82f/OHHjoQdS7po0wIM313ooSFFjsZFscjAzGiFUbsbLT5XM7aqPCAttstBcJpfL5swaPGvGoFOnUp969nTd5OEto8KffXqEQiGvPeLn55OSEt38QbY5BoPB1cm5CKEOHdp2hQSZjF2zYvjCxYccd7ttfNTihwb6+qhFURQEEWOE/5+rt4gxXrNy4uixG822NgNs6MnHumNsaTgaR5KkXC6v9/KoUqkQQteuaTKzqv+6WH723A2b11y2tH///l1djVy6jZuOr/483WYTy5Lr142whm2xWLp1Ddq0YRTPcwzDvPTaaYTQ1Clxzzw1HrYcBAAAAAAAwOtBArqdUquVRw89MPf+bZdS/5m1NHfBwfffMQwZ3KVlAwNeBmP8wLSkD9ZdbtgkiuiLb7NmTojk+X+qZOj1eplMZjQaPXXTMpmC4+zmfUjSa7MeY6KI73LdOxWv/1u7kGGCAvw9GlFjEQQxcGC340e6tXQgXiInx+U9J5VKpRfs1dmtW8KB3yKPHU//9be89PQqg5E3GnmEkEpFJ3RQPfRgt65dEmvzoRjjxt9jiqIkZp8RQg8sOvLV58OVSkoQ+Nqp0AqFgiRJhBBBENZhA5VKdfpM6bLPbFc3qkWSePPXY2JiIhsRvl0cx/3405+fLE+z1+GeuxPuuD1Gp/s3aa7VagmCwJidPns/QujtN/qNG9u3KWIDAAAAAAAAtDaQgG6/CIL4ev2MpR/t2bo923rk2RdOfvox1bdPSssGBrzMrSO6rt2WWW1rEvSJ8xVzJsXz/D8FTwVBoGnajQQ0SZK1WWyCIGiaFkXyx59zftrpKMsWFdW6cqwelJKYgHKzkMP5zg6sO1fx7EhfL8g2AptqamrcqHgTGxvbFME0P5lMNnpUz9GjetYeEUWx6SbhiqKoVFI6nY0XQJvmPXAIIRQepvjg3X4URR06Urh23cnbx8fOmpGsUCgQQgcPF37+hZPUM0IoJlq54ctJMhnrfuh2aDS6bzad2rzV7qurrw+z/NPBFs5Ut5wIxlguV+zafW3bt1kIoW+33JaYGOfx2AAAAAAAAACtEySg27unnxw3bEjagw8ftP730SeOfbWO6Qg70QOPWvH6zbOfOGyz6bG3zq18rbdOp7P+12KRmqapy5qXOXf+xrXrmuwczaVL5UZT/b0HG+rWtUkmBrYSM1IUW664U0wWISQgdOZydv8uiZ4NCbQSeXl5rp4SEhLixXUSmvSuYYzvnZ2yak2qS2cVFevvm3+Y5/8ZJ/jlf9em3ZPw2/78bzZlSDn9xeduGj+up8fvl8Fg/OSzI7t22338zJ/badTISI7jTMZ/hhUxxizLkiT5d2rlO++fQAjJZeTOH6YGBXnt+B8AAAAAAACgIUhAA9SvX+cfd/hPnvqDtSLovAUHNm24JT4+pqXjAt4jPCzkyXmJH32V1bDJZBZ2Hywa0d/XOiXTutLcVXq9nqTYDz76y6Wz5PK2vaOaY3FR4TeVZp6rdOf3iRD6vQj1h3o83shkMrl6Ck3TwcHBTRFMOzF9ar8/z5acPlMm/ZQe3QIvXCqve+Tl106PuSXc6YmDbw55+YWRarXS5SgdEkVx589nP1x2wUHl8Mcf7d6lk7JuoWqWZc+crVi5+mRsjConV4MQ6tTRd/0X9zAM49nwAAAtThRFN7YWaB61i35ac5BOWe9Fm74LdbXpe2H9W3jBXUBt/BHlTU8KL7gXXnAXrFrtvah9wLd0II0CCWiAEEKxseFHD867c/LmsjITQmjWffu2bhwTGxvV0nEB7zF2VE+bCWiEUEauZtRAf2sNDfem7PE8L5e7XC+CZb05CYIxHntTEvNX5slyd3LQIsIWi4Wi4D3C21RVVbl6SlJSUlNE0n6QJPHJR3eazdzw0d9I6f/ma30jI5TWWhy1DEZLz57hLz6nfvu9czbPCg+Xr1s9PiDAr9Hx1nf5cvYjjx/V650sT9n/e/5NPbvX1lBSKBS/7s3fuCUDIWTNPt82Lur1VydAbR8AvIz1u3p1dbV1OVorVPt13WAweGqjkZai1Wq9YEGS2WyurKxs6SjcZ31EecFdQAhVV1e3bCSNYb0XbnyybT1q/xAajaZlI2m8mpqalg7BA1rzq5P1/QsS0MBLyOXy3/43f8GDW8+eq0AITZ+99+svR1XX6AXeIpPLY2NCfXzUXvCJB7QUjHF0mCyv2Mbnfp4Xal9JTSZT3YLOLvHzY6qqzBI73zY+yusfzxjjUb2Se1VVfXG2jBNt31klKeh42/mg3PzCxDhYCeFtXP102KULzIT3DJ6XVF+IIFBlpenl187UOz5xQrSfL/vg4iM2z1r8UMeZ029ubIgNaLW6qTN+qJT2uhodrbK+dDMMIwjkzHsP1G19542+Y8f283iEAIAWZ/00pVQq1Wp1S8dim9lstn5vZ1mWZT1fGb95CIKg1WrlcjlN0y0di/usH0Ioimq1wxVS6PV69P8FANsiURR1Op116KhNbzFtMpk4jlMqlW33O53RaDSbzajOjtNtVE1NTVu/C1Y0Tcvl8paOwjbrzLC2+2i3ggQ0+I91a6Zv2Xrkw2WXEEL33v97vdbQENnsmQlDBqcEBsIGZcBli2alPP/hhYbH07M1CoXCunDbbDYrFArrBzunMMa1mWuj0fjsUz2ff+m0tBPRooUDJAfetgX4+T0zyu/t/bb3JLSXfUbu1uMGrRxFUdZPulJA9tmDJH6cJUmiX9/QiHBFYdE/L4MEgaKjVIMGRX/y2UWbp7z9Rt8Rw7t7LNB/vpoavlx/YvuOXJsd+vQOfurxnuXlxg+X/ZV7TaNU0p99PBhjThRFkpQ99MixutOlGYbYumlChzhYUwWAd7J+GaZputVW16md1kCSZKsN0inrvaAoqu3ehVoEQbTpe2E0GkVRbLt3QRRFg8FgTUDTNN12k4YWi4XjOJqm225eguM46w8URbXpsSWEEE3TzbZ2NjO3slor9euMSzDGrfap3Zj14q0HJKBBfTOmD+3ZM/LeeXtrtz+qVVJq/HBZ6ofLUhFCE26LnjG9e0x0aFt/DoBm07NbPEI2EtAIoaJSg/r/pxFIfESRJFldLYaEKHjeYrFYSJIsKpa6597yZUP9/X0ldvYOCkLUC649VZVeXSO73QoMDJQywKNWq6Ojo5shnnZl3JiIPXsLHXSQycj160bo9fp33uq/dl1av74h/fqEICRynDhn7gGbp2z4YnRycqynItRodHv3pX2z8UpZue1a4WoV/fnqYSaTSRRFhiXefWtAZlZ1XKyC48wUJXtv6bnUtP+sW7ypZ8CaVVOgmA8AAAAAAPCIddsvnrpY1NJRAHfAVwJgQ+dOCYf233f/A99nZNpdrL1rd96u3XlKJXXf7JTJd/WUySBXBZygaapTguryVW3DprdWpa54tbdOpyNJ0mQyyWQyp0X6eJ4PC1NNn72fpnFigl9+gVaj4ZzG4ONDb1x/W3BwoJv3oc0aGSb8Uuja7IDw0JAmCga0IKdLpCmKSkhIgIxhU3jumdGnz2wvr7C7D+T6dSOsa0F43jB/boIoinq9jqLkcxcctNn/h28nhIV54HlqsViO/5HxxVd/X822W4IQY7Tg/s5Dbg6xrgEXRREjjBCKi1UQBPXV1+nHjhfXO+XlF3pPvLM/jFIDAAAAAAAA4BsmsE2pVGzZOPOLrw6u+TzdQTedzrJyTerKNak9uge8/srQkJB2l9cDLrl7XNybK/5ueNxoEopKjRGhKkEQrDWg65bXsEer1T75WI+PPrlwOd35XgGxMcr33h4eGxvmZuhtXPdOyb8UZkvvTyIRUpBeCWPcsWPHK1euNHx+sSwbGRnZagufeQGaphMS1PYS0KNHRul0utr/WtfGYiyzmX0mCPTzD3cHBDR2JYfBYFi+6vjPu6452PGbwOijDwYFB7NGo9E6NCgIwsnTN1as+nv40Ihzf92oqak/+EfTeMfWSTEx4Y0MDwAAAAAAAOAdIL8A7CII4oH5o/r3jZy7oH4x6IYuXKyYePdPEeHyFZ+O9siELOCVKPtVxtZ/n/3E3PjiMkFnsHSMV6pUKinbAffpHfzhewMDAtgLF8s/XXHJQc+NG+5uzxlVjPHUZNn2DKmbv09JgSyk1yJJsnPnzoIgGAwGrVarVCrlcjlBEDBTtanp9YbTZ8psNgX4s/fP7Wid/mylVCpFEc+8d3/DznI5+ctP0+SNK5JTUlL29HMHsq46eZmdclf8XZPitVqtwWBACDEMwzDM/Q8c0hssCKFDR2xUFInvoNq+ZVbbrSkJAAAAAABaLZoi5KzU7/XOEwqgGbXfdAyQqEePjqeOJ4ybsKGiwnmh98Iiw1337OqY4rPyswmN/G4MvFKXlDB7ZaCz83RyuTw+Bm/dld012dfp9GcrrVYbEsIyDN37pgCVitZqbVfh8FE3364IrVZiTOSQqsyjpc4LccQrhYToyGYIybsJgiAIgiiKBEG0wmQcQRBKpVKpVLZ0IO2FKIrjJmyz2USSeNXyoXWzz2q1+r75B4xGvmHniHD59i1T3X5EiaKYlpbzxDNHNRonu4wGBLArPhliMOitgdE0jRC1aMlRnc7RiW+/0Xvc2PayxSsAAAAAAGhmooUXzE4+x4LWqb1nZIAUNE3v2zP/qw2HV65OldI//UrNqDGbp07p8OADg1m2le4iClqEWq3EGNnLLe89Wjy0j++IgeEms0Bg3lqLw+k1rcU6eJ6QsaS9BPRNvaA4DEIIDe2epM64tuc6JyK7c10j5cLU/gnNGZWXMRgMJSUldWspWFm39YNZxu3W08/u4jjbdS6++nyEdcEHwzAsy9ZozIuXHLGZfZ4xLf7hRSPcC0AQhGPHLr/46qmGOwzXRZL4zgkd7rk7ged5ne6f1DMvkC+/diYvv/6jui6Fgty68c7oaCi7AQAAAAAAmoqZEwxGSEC3SZCABpJgjO+fO3z0yKQZc3YZDM5zggih7Ttyvv8x99OPhvbqldjU4YG2giTJcUND/ne41Gbr7oMFY4aEsayQk68PDUA0TdM07XQ3QqPRWFmFnnn+pIM+Y8fEux+0d+mVHJsYoduTWpipqT8VmsTi2Fi2Z2J0iwTWGpjN5pqaGoPBwHGcTCZTKpU+Pj7SU8ZarTYvL0+wU0xXo9GkpaVhjENCQgIDAyET3a5s33Hqj5M3bDaxLMmypMVCKBSK69e1RcWVnyy3UU2IoYlv1o+JiYlw49YFQTh0OO3Nd86YTPYrPSMUGCh74dmbQkNYs9lsTYgrlcqTp0q/3nSlutrJEqjevQKXfzpJJmPdCA8AAAAAAADg9SABDVwQGxt5cN/9r72x+9ffCuoef2xJt5BgxQsvn6rX32IRFz96uGf3i58um0DTdDNGClqvWXd1/d/hAzab7hgV+c6q1AG9gkrLdFNv76DT6RhG0gz6nFwnxZ1+258zdEgnl2P1UmqV8p7+SSaTubxak32jRm/iAlSyhBBfP18Xkq3eRBTFgoKC6urqugcNBkNlZSVCyMfHJzraSVJeFMWrV6+aTLY3l6vXs6SkpKSkpEuXLo2JGbQhWVl5ny63sfmq1Yjh4Tt35bAsmZqaeeas7ST1sKGhr78yhmFcfhsVRfHwkdQ33/nTwcixUkE9+kj37t0CTSaT2Ww2GAwYY7lcjjHe/ev1zVsynd7Kc0/3vGfKza7GBgAAAAAAAGg/IAENXMMw9DtvTRw/9uKSJ47WHly1JnX4sIivPh/+/ofnr2RU1zvlr4uVI27ZuGnDrXFxUc0bLGiNgoMCAnzpimobtTK2/nIdIfT43HiKCrBmQnU6nVwut25+5cDgQaFrPk91UDX68uWqRgXtjViWiQgJjAhp78VJtFrttWvXHHSoqam5fPlyp06OBjDS0tJcvd0rV66kpKS4ehZoc4xG47wH9jno8OvefMdX+OTDQX37dnRjcOjwkYuvvP4nx9l+ZSRJvPS9geFhCqPRaLFYrFOeFQoFQRA/7sw5drxIRKioSG/z3JRknysZNQihAH/mhx3TfXxUrsYGAAAAAACkO5pTXqpzvikXQogk8LAOgf5ymP8HWh1IQAN3DB7c/fjh5DsnbyorMyGEzGbht335v+3LHzcmOjOrRhDqf90VBHHGnL0vPd9j3Nje7XOKJaiFMZ47OeGjr9LtddDocUggbbFYVCqVxWJBCKlUKoPB4KAetMlk6tY14OKliiaJGHiv69evW/NujgmCkJubGxcX17BJFEU3ss8IIYvFIooivB56N1EUn39xr8UiaUvVhuI7qL78fCLLulbXQhTF3Ny8OfP226v1rFJR61YP5zjOZDLV7nwol8vPnitb9pmjWkYIoc9X9TeZxUceO40QevbJrlOnDnMpNgAAAAAA4IZyPVescb7aEiFEEZjjHVVdA6ClQAIauEkul/32v/m7fjn12pt/1s483bM3z8Epb7174fcDhe+/O56i4IHXro0b3W311ky9rSXhUWHyskpzSKDMWrMFY8zzPEVRFEU5SEAzDCOXO3pQ9e8X3PiwgZfJyMjgONu7VjbUcFNBhBDP8+npdodSnCouLg4Phx3bvFlubtGpM2VunBgUxK5efktkZKirJ9bUaB5+dE/WVRvDKgSBZkxLvm1cjNForM07I4QIgmAY+aIlR2tqnE+reWDRKYRQQAC7acOdYWHwugoAAAAAAACQpP4mVAC4ZMLt/Q/8Nrtjiq/E/idO3bhl3MbSGzBTtb17/+keNo/nFxs++jL9j3MlCCFBEEiStG6H5WDQgmHkK1ZdOn3G9saGVvPn9WtkwMDLZGdnS88+WzXcD7Mx2WeEkOigaoxDer2+uLj4ypUraWlpqampaWlp165dk1KBGjQnURQfeex3V8/yUdMrPhn68w+zXM0+i6K4/dsTY2//tmH2mSDwww913fLNLSOGBWm1WuvKEoQQxlilUh08fGP23N+lZJ+t7p2dtP/X+ZB9BgAAAAAAAEgHE1FBY/n6+mz+ZuahwxeffOaYlP4mkzBx8o8/fHsHfH1tzxLioxE6Z6+V4ywIIYIgzGYnORGM8dcbM06edjLH8NLfBcOGSh0mAV7v+vXrTguLN2Q0GmUyWe1/y8rcmdlal8Q9NmuJolhUVGTdGrHeca1Wm5WVRRBEYmIi7PjaSuTmFlVUSs3qIoR6dA94/pkB0dFhbhRmqaysXrjof/kFNko2P7Sw87AhkQaDoV61GYVCceBQ4ZfrT0i/FT9f5uuvbo+Ohmn7AAAAAGjDRFGsMFkkdiYx9mVIqJsHQONBAhp4AMZ4xPAeRw8lPf7kz3+eLZdyyuSpP//8w12Bgf5NHRtonRiG8fOhqmpsv/EfO1s1tF8Ez/MMw1jndep0OpVKVXfZeC3HxTes1q67OGxo50bGDLyDIAhS6j43VG8afklJSSMjCQx0YQfI/Pz86ur6W7zWIwhCRkZGYmKiq1WDQVPIyCyU2HP2zPiZ0/u6vZXfr7+ef+Md2+N52zbdghDS6XSC8E8pQIqiWJY9eLjwux/OV1a6MGv+3tmJDy8aTZKke0ECAAAAALQe5UapCWiawD4MCelnABoPEtDAY5QKxdpVU8+cSX3w4cNOO4simj33l907Z8FYYrv18Qv95z133GZTtYYTRdFoNIqiyDCMdR60dce2elULRFGcMS0hv0B74aKjkY/ca7qaGq3b+R3gTdyum6FUKmt/bliOoyG1Wu0g040xlvjqJwjC5cuXpfS0ysrKSkpKcnV6NfA4Hx+5sw70G6/06d07xe2sriiKr73x677fbWe6CQItXHT4k4/6KRQKvV7PMAxFUU89e6Kg0EZBcwdIEu/YemdcXKR7QQIAAAAAAAAAJKCBJ2GM+/XrevZUl7n3b7n4d5XjzlVV5vT0a506xTVLaKDViYmJ6NfN9/QlG5M6RYRIkiQpOcNQev0/i8p1Op1SqWy4F5xer398SWeEqIcfO2Yy8Rxne8/fn3aenzN7iGfvAmhzRFG0V3mZJEmGYeyV5iAIom6+uKCgwOltOZ5nnZSU5PQKCKGampq8PEebu9qUlZXVuTNM+W9hA/p3Hnvr9b37Cus+4mgKBwXJnnqiW7++nRs5m5jjuFvHbzKZbL/iEQT++IOBoaGKwqLKJ585xrKkyWR3H1cHnnmy27SpQxsTJwAAAAAAAABAAhp4HsZ4w1czz59PX7TkoL3vxlYVlc5nEQIv9soTw26f+3PD4xVV5nnPnUIIsQyx+o2+tYk8grC9byrHcQhxy5f1p2n6ux9yfvo5t2GfNesyJk28Sa1WNmwC7UdxcbG9Jp7nHRSGjoz8z/RPp9XJHWNZ1mmlZlEU8/Ly3KsWYs2zb5BjZgAAIABJREFUw/qSloUxfuWlcS+/KObk5IsIURQVGuJft4y42wRBOHDw0iuv/2mvw7gxkXNmdbqcXvnksyd4XkQIuZF9jo9Xfbl2kq+vT6NiBQAAAAAAAACEbGdzAGi8Xr06Hv79/rFjbC/a7d8v6OUX+9w8qGMzRwVaFRnLvvBQFwcdFk5LQAixLGvN2tibu2plsVgMBsPUKYn2OixasrvqRinHce7GC9q82gn1LiEIwsfHY2k4kiQTEhKcdrt27Zp72WfQqmCM4+OjE+KjY2PCPZJ9zssvmTx1q4PsM0LoxMnS6bP3v/H2WWv22SUjR4TRFF6+bPh32+6F7DMAAAAAAADAI2AGNGhCDMO88+bEefdenzHnF4vlP1+DNRpu2JDklgoMtB4jBnfavDP7WqHtmafdOvohhKzVbDHGRqPRWszUwQU5juvZI/CvCzZKQj/dp6zqjluqEBKUKiRXIJYV4zowt4xnO3fxDwt3OiMVeAHHYxj2pKSkeCoAmqaTkpKczk0uKChoWG3GJTD92fuIovj6m7/+tt92xedxYyL27P2nqara/WG2sFDF0UPzoYY4AAAAAAAAwINgBjRocomJMSePPfj0E13rHky7XD3mtq0XLma1VFSglcAYv//8zfZa312dZv1BFEWTyWSxWJym1URE2sw+Dx4QqN601vozodMSZaVEQR55/Aj/2nP6eyYUDO2Tfcet2WdOu3s/QNtAUS4Pu3bo0KFh7Zfw8HA3bp1l2eTkZKeP4Rs3blRVOamh75gH52uDVqK4+Mat47+xl31GCNVmn+3p2sXv+We6Oujg60vv3T39qSfGQfYZAAAAAAAA4FmQgAbNgSCI6dOGnTi6oEd3/9qDPC8+9PDhp5/dJQiO6kQDrxcU6H/P+CibTdl5OuvDozZnZzKZHOQQVSrVvfMO2Gx6oPonx2k/4kYJsWRBzsAeGUcOSwsctD2xsbGu9lcoFA2P+/r6unrTkZGRiYl268PU0ul0paWl9lrlcrlKpXJ6kago208o0BaJovjL7jN33fOzTmdx43SSxJ99PGD1isF/p1a9+8Hf9rp98G6/A78tCA4OaESkAAAAAAAANC2GJhQySuK/lg4W/Af8PUDzYVlm/RczMjNz5i/8TaP954v08ROlg4evf+n57mPH9La3xRzweg/MGvjTvu/MnI3yCPNfOPPFO/1EUVAqlYIgEASh1Wpdvf6U20OpH89L6YkRYp5dkosQ88Xm8M5doI6Bl8EYUxRlsThP5BEEkZSUZG+0A2OckpJy5coVKTeqUqkkJr7NZnNubq69Vvz/1Gq1teK5zW7BwcHwuPUOFgu/Z8+5d5dedOPckGDZ00/26NM7Kf1K/iOPHa5XBauum3oFrlp+F8x6BgAAAAAArR9v5jkj7OrUJkG+DzS3pKQOhw8sfPHZm+oefOvdiyNu2XD+wlX3KrQCL/DNRyPtNc1/4TRJkgghgiBEUbSXXKNpWqfTLZhnY2fL8eYzrsZjnj/z6ntvijA93+skJydbH04OBAYGdurUyXG9DoqiunTp4u/vb00K12vFGPv4+CQnJ3fp0kVi9pnn+czMTAcdauc+GwwGe9lnmqZDQkKk3BxozTjOsuO7U0NHbnAj+0wQ+ND+2T99P7Nzp+jJU7996OFDDbPPKiXVvaufrw+9ffNtX6ydBtlnAAAAAADQJlgsgsnES/zX0sGC/4AZ0KBlTJ48cMyYHq+89r9DR0qsRzhOXPzIoeSkc58tG+fj43yNOfAyQUEBK17t9/DrtqswP/L6n8tf7WP9WaFQ2JwEzTCMTCbz86u/RSFJYmbfHjdCon7+PufPU1Fbf3Q1O2M2mw0GA0EQMpkM9jZsbTDGHTt2rKioKC4urjfihTEODg4OCgqSPoM4IiIiIiLCI4E5nU+t0WicXoTjOIPBIJfLPRISaH6CIOz8+dzHn17keTeHYwMDGIqivlp/7Iv1dh9RWp1l1MiYmTNuhoVHAAAAAAAAgGYACWjQYlQqxccf3n31av79C/9XU/PPGoqMzJqxt29ftnRg//6dWzY80Pw6psTef3fJl99da9ikM/AX0yu7pfhhjEVRVKvVWq2WYRiTyfRvH52O4+ilH1+od65KReEyE3ILUZhfcPuoqN0HpOSRzWZzdnY2z9cfaCUIIigoKDg42L0YQFMICAgICAgQRZHneZ7nSZJ0Y39CD+I4zlPrP7Kzszt16gSJxbboanbekscPVVaaGzbdPTm+Q6xq6cfOJ0S//kqv2ydurqqycRGrKZPjHn1kpEIBoxQAAAAAAACAZgIJaNDCEhKiDu5bcOTo+cefOlF78PGnT8REX9z8zRSnK+WBl5k2qW96tub4uYqGTZ9syPjwue7+vjKe5ymKslbylclkRqOxto+/P9vwxOpqzjxqDPP73roHRYyxtHwf1tTkzZwc/+3PjruVlpbeuHHDZpMgCKWlpTZ3liNJUi6Xx8TEQNHeFmEtCd2yqWerrKwsD15Np9Op1WoPXhA0NY7jFi7amX6l2mbr5q9H7fktT0r2GSG0aMlJe03xHVQbvrxbpVK6GSUAAAAAQGslVp9HnN2tvP/TE1GIGtTU8ThVarBkV3IIIUZXgwknXwYxQv7SttQjMSZc+Wr5w9k8vVlSqQofOX1Hz0iJlz2fVXb4YrHEziLHm4xSd9uu0ro5twy0uJb/1g0AxnjY0JvOnur1409/vP3eX9as4PU83dCRG3ZsmxARDvVM2xGM8WtPjpzy0E9VNTbegZ567+KdoyPvHB0liqIgCIIg1Bui0Gq1X30+Yt4DB+ud+Fvg8NvRfxLQWBRNs+fLbrtDFEWk02KVGpcUCx++jfJszL8m8q5lLn036enn7YVtMpnsZZ8d43leq9WmpaUhhKKjo9VqddvKRIuiWFlZ2bCWBUEQiYmJUH5EOsGj1cZLS0shAd0K8TxfVFSk0Wjq/bkFQVy4+JSDE2fe+3sjb1qpoDZuGB8XF93I6wAAAAAAtFLGPGTIkdQT08i35RPQWjNfYBAQQshgdNYXcSZLjUFSipYiMC+4sLDyr7yqaoOkPf1C1DLpCei8G7qDFwoldhZNFl2N1LRyqLNkPWi1YIkuaC0wxndNuvnE0QXjx/3zDVkU0d1Td129WtCygYFmhjFev/RWkrT9vvK/Q4XllSaEkEKhoGmaIAi1Wk2SZG3elmXxhi9GMsx/Xty2/FhUddesepcSIiJ5jsMYI6UKIcQFBhEfrrAXFf3DtqqSEnut2dnZ0u6cI3l5eWlpaUVFRW1lK878/Hx7AQuCkJGRkZaWVnd+Omg2fn5+LR0C+IcoigaDITMzMzU1NT09vbq6uuFgw9PPnWvkrXRM8WEZ25/oWJZY+enQo4cWQvYZAAAAAAAA0FIgAQ1aF4Zh3nr9jr27p/frG2Q9MnvurwYJQ4LAm6jVyo0fjbDZxFnEp9//S6u3iKLIsixCSBRFmqYZhmFZViaTIYRkMvKbr0b16f2fmsuLdgWYBw2re0T+/uvE8cMYY/z3BYwxTdPipvUOoip/8yV7TR6cvlpRUZGWllZVVeWpCzYFQRDS0tKqq22XC6gliuLVq1fLysqaJypQS6WCfVxbnjXvnJaWlp2dbTbbrci8a3d+jUbSrBObaAovXza0W5cAk9nGq9DCBZ2OH144cGA3t68PAAAAAAAAAI0HJThAaxQcHLBm5dTc3IIlj/+WX6Df//vfE27v09JBgWYVEhK47bNR05bYXnj+6Jvn+nX3m3d3B2vi2FrDl+d5g8HAsixJksVlhseXdK+3bn3++Z6f35ss+3rdv4fWfCas+QwhZOneSxQE6u/6GxjWRZ49bTYZGVbW+HvnVEFBQXFxcYcOHaxJ9lZFFMXLly9L719SUkLTtK+vb9OF5AUCAwPLy8s9cinrYIxHLgXcU1paWlZWJmUpQ3W1+edf8h10iIpUPvNkzyVPHLfZevddsQ8vGooQeuTxI/Wa7rg9+pmnboGdBgEAAAAAvABFYBklaf4oiXF6SU1uudTJpm1l9S3wApCABq1XXFzkzh/uO3MmvXPnmJaOBbSAoKCAzZ+MnPnYAZutpy9W3T+FoiiMEMIYGwwGmUymVqu1egvDICVrMZvR1o2jp8/eX3uKxSLO2yJX+j3x1HT/5G8/xeX/zswlL55HCIkMg+1PVEQI6SsrmbDwhscxxh5/5+Z5PisrS61Wx8TEIIQ0Gk15ebkoinK5PCQkhCBabP1KZmamq6fk5+f7+Pi0rfLWzSwsLIwgCCmVxJVKpV6vd/B4i4+P92hoQCpBEHJyclwqO/OUs+Ib+QU6m9nnCbdFPbJ4iEqlsP539YoRe37N0um4+A4+fn70mFt7BQTAkA8AAAAAgJcwmCzV0mpAExgdzTIYOEn7CiKEECSgQXOBBDRo1TDG/fp1QggJguBgCTPwVqEhgduWj56+ZL/Nt8WFL5+hKfzx812USqVMJrNmgRlKKCzRh4eoEEKiKG7dOPrJZ04UFulqz9LpLK9/cQOhGcNHBs8Vj9IHf6ttcpx9RgiJdvZziImJuXbNxu6FjafRaFJTU+se0ev1tVNlo6OjfXx8muJ27eE4juPcKRdQXV0NhYkdCwkJCQ4Otu5I6YDT7HO9nTlB80hPT+d5yR/0EUIIvfzaX27c0KCBwW++dqtc/p+lGD26x/foHo8QYlkWRnoAAAAAAAAArQ3UgAZtA0EQMpmMYZiWDgQ0t6BA/1+/uSspTmmzlbOIj7z5967f86xb/WKMGYaJCFVgjM1ms06nQwi993afd97sx9D1X+4OHb1x77GO89SPlT78kigtZaMKCrJ93K2SuxjjRqaK8vLyUlNTpUyb9ZQS+zsxOlZYKHUT5PZMq9U67eMg+xwRESGXQ8mFZmWxWNLT01NTU13NPldWmYtLXJgrzTDEww91Pvz7nA/fv6Ne9tnKWgQfss8AAAAAAACAVggS0KAtsaahrQV/QftBkuTqd8bPvSvWXocf9xU+8OKZMxfLjUZjbXqOZVm1Wm02m0mSDA4ivlo37MP3Bwb416+NazQKj62tWXXzq3yck8IFllvG0/aHQNyoe0DTtFKpVKvVCoXC1XPrKi0tvXz5cvNU76qpqXHvRCguJkVeXp7b5yYmJvr7+3swGOCY2Wy+fPnylStXXE09I4T2/lb4zPNOim/UiotVfr5q+MF9982YPpCm6YYdIPUMAAAAAAAAaOUgkQfaHoqiKIqyWCwWi6QqSMA7zLy734jBHRa/fFSjs53uWb0la0APP4LE909JsuZizGYzy7Imk4mmaaPR6OsjfvLRAJqmBQG9+8G5qXcnbNmedTm9EiF0/FTFcXT7snlU6Fcf243A1qzDfxvl8tDQUJcmCJvNZmthGbVarVKppMx+tUcQhLS0tKSkpFa7SqAFi1a3FaIoupemxxh37NgRfsPNxmQy5eTk2Ms7y+VyiqI0Go3NVlFEz714rqLSeUWpoED2nimJt4/v7Odnt8wOwzDwdwcAAAC8jHDld+HkBomdiSEPEfGDmjIcLyQixPGCxM4YYekf0LVmy9H8Kon9WdQqJugInChwkn4bgkXqL81VmBewRfKUDhrSmG0V/OVAW2VNQ/M8715FWtAWRYQF71hz55qv//hpf7HNDicvVCGE/jh3Oj5a+fyDna3ZWIZhaucGiqKIEN6zN7egQLf+m/TsnP8kiR7faOne48Wn9d+RmVcaXpyIS3AcXlBQEEmSbtSa0Gg0Hqnbm5mZGRMTo1arG38pe1iWdWmPtVpQGqKJREZGQnHt5pSdnW0wGBx0sNdKEERkZNT4O74VHH5091FT981JHje2q4+PysGkZkg9AwAAAF5LFJEAO8g1Lem/NVd/v9JztK3kL8eLIm9no6N6hCZ7sAki4nnJF7exIBC0DZCABm0bSZIEQQiCAGnodoIiyYfnDRkzLG/xKycdvFFm5+kWvHgGIaSQky8+1LF2T8KiEt26b3MKSg0D+wbs3VfU8MSLaZp7iTHLn5vt/95LdY+LMln03VOdhufv769SqTIyMly9X26s4rfp+vXrUVFRvr6+HrlaQ6Ghoe5ttxgeHu7xYLyMtSa49EnQSqUyNjYWCi80m/Ly8uJi20NfjmGMk5KSaJouLi6zmX0mCDx/btKwofFRUSE2i2zUBdsMAgAAAAAAANocSECDNg9jTJIkSZKCIFgLGgCvl5QQvXdT1JJXfr181UnZCr2Bf/Hj1Nr/rn2r7+NzE55+7+/jV3QBAUxFhY0HjCCgxR+Vdur60ovl64miApEghR69Yj9bK7H4OE3TXbp0uXbtWmNKajRGfn6+UqlsolLpKpXKpSSpFUVRLFu/+jZoqGPHjpcvX3bcB2McHR3dpPPcQT2CIDj9u9hEEERKSkrtVOWwsKBtm8ZVVlZrNGaSwoEBPrGx4dKfGpB6BgAAAKxE3oKkTz+iGeyJtYb1YxBFZDFJn8WKGUfV/P7bFSNSclU9kUcWycsTCRphWEGFEELSP1FhhARR6kxzaTOJ3UEQmCIkRU1gxDXZB0YjZ2PWlIkTTJxgEf/TJIoiQ0l9sLkUMElilpH6jHa0bhE0O0hAA+9h3aIQ0tDtBMZ4+ZvjsnPyn/3gz8pqqR9AF71yhhfQ8H4BBMadElRLP7hkr+flKzWz0OS9v93jXqYvNjYWIZSXl+f2rn2NkZGR0blz5ya6eGJiYmZmpvT+GOOUlJQmCsbLEATRpUuXmpqasrKyupUcMMYsywYFBTXd3HZgT2lp6Y0bN1w9S6FQdOjQoeHxmJiImJgIly6FMa5bRwgAAAAA3Nkj+h2rJHZW3vcs3aWv54Mwarjtb4i6CkmdCZp9aK3UK2OECKmFHITLP4rpP0nsTPRbgII7Sg3Dq5kl14DmRfx3mVbi/BtLkxWp4CyC0SxpByySwE0UhZkTnt9kYxttQeAJgqiX1adF0WiSPEokvf4GQhaTYNbDZmBtEiSggbexpqF5nrdYLO7t6AXakPgOUd+uijx+KuPtVZc4i/M/t/WTxvHzlUGY/+X7HKf95XJFY8KLjo5GCPE8X1RUpNFoah+QTf3IFEWxuLg4LCysKS7OMExsbKzEQhwkSUL22VU+Pj4+Pnb3nQPNyWnF53ooigoPD/fUn48giFa7rSgAAADQgkSTQawoldqbMzVNEKKoLUeackmdCRcTL6LkSsImLRKlp/mgauU/pH8ZE0TRLLFGMkKSO7pMFKVOr8ZCk1WXFsUKrdRnkw9NWiSnlQlXvh0LgmBpsu0QQZOCBDTwTlCUo/3AGA8ekLKrT8LhExmrNl6p1jofDuU4EQXLlQqjzuHYaXAQS5IeWKRGkmRUVFTdI4Ig5OXlNWmNjvLy8iZKQCOEVCpVp06d0tPTHWfSQ0NDg4KCmigGAJpaVlaWyST1Q3ZwcHBwcLCn5imTJElRFMx6BgAAAAAAAHgHSEADb2adDS2KIsdxgs29n4C3oChq1JDOIwd30un0x05lbf3lekGJo2poRTdMfYeFH96TZ69DVKRi44bJTZQAIggiNjZWEITr16/rdLqmuAmE0PXr12NiYpro4gRBdO7c2WKxlJSUVFdX181E0zQdERGhVCohfQbaLo1G4zT7jDGOiIhQq9Wk5ypLUhRFkiQ8dwAAAAAAAADeBBLQwPtZC2iKomity9HS4YAmhDFWqZRjR/UYO6qHIAjpmdeWvP6nvc5nLlW//FL3N9+6WPcgQeBp98SNH5vcoUNkU+eACIKIi4uzDpDk5OR4/MGp0Wg8e8GGKIqKjIyMjIxs6hsCoJkZjXZHsFQqVVRUlAeTzlYMw9RuVwgAAM1AFEWDwVBRUaHX6+VyeUBAgEKhgAGw9klz4FfTVak7fATMmk/I5U0aj1OYlZMxCVJ7k60g6YERf3q7xL4i58JneCz3x5I3NBbLUlFNLmM0Uta5WWVywf5Tnoi/BdGe/0OL+mJUnSa1tzIG+yRK7KtTdDczydL6EsiVYiQMSUgtwYFFVtpWgQghzAsKjBBCBEk4fe3VNtlrc4CcUdGSPtbKKCK/qaIA7UIreC0GoFlgjCmKoiiK53lO+qbJoM0iCKJzSod9m+N++t+51VuybdbM+mhD7qoVQzp3jMMY0zTd7DEi9P8DJPYKJaempjo4lyAIlmUd1KgtKSkJDQ1tbIgAtD/BwcFBQUE1NTUmk0kmk8lksqYrx8yyLGR8AADN7/Tp0xs2bKioqDAajSzL+vn5TZ8+fcSIES0dF2gB2kP7tfv3SOzsN2VmiyegRc4gFjrfzeUfAt+UsUglnP1eatfIJBc+FpiqkPSt3kQjMtfIJHaOHdIUCWhkLEFFh6V2DhmEpCegyUgDkrjoWUSSEwKiiLRmqcWMLYJQZpB6ZTWBqkzWB6fzh2jTVZcurdJrjJImQgWoYG8S0CiQgAbtDpSHblcwxpNu633H2J5/nM747JsrldX1PxA89d6F7SuCAwP8WyS8RhIEwfEOaU1X3wMAr4cx9vX1bdLrs5KnLAEAgGft27dv+fLlFEX16dPHx8dHo9GcPn162bJl1dXVd9xxByzIAAAAAIBnQQIatFO15aEtFgvPt4pRcdB0SJIcMrDTkIGdiopKv/4+9VxqdUWdTPR9Tx34duVtcrnU2QDNiaKoxpTmgMc2AK0Q7DEIAGhZoih++eWXBEE8//zzffr0sR7My8t79NFHt23bNmjQoJCQkJaNEAAAAABeBhLQoF2zFl6w1uWA8tDtQXh4yHMPhyCEzGZzjUZ39mKBRmtiGPJGWWVMdHhLR2dDdHR0To7kBYYNeLxMLQCgMaDQMwCgNfjpp5/0en1iYmKvXr1qB8OioqL69u178uTJ48ePT5o0qWUjdJs+v/jGifN1j3BmzlrWn2VZhv3P+vGg/j2UMRFSLivyQsWJ0+aKSolhBI8cSqmUEjs3EVNmhin3qsTOGCNG8s7VxnMnCGllqTBFI+Hfb1iCRoMQ4inaYGvaB+kbQHfuibGkd0lMs0SI5D1IiCb6PIyxbzCipS1mIgikkpp7wYwC+UiuoSdjEZZYdwIhuQ9i5IIgWPcPd/xNQazMRJS0e0fKcIDtcoI2EDSSBUrtjDhRe8X2ZUxmxsIhnUKsHdHH0Qg1yd+aIYm6O647gJFXf8wTUZCtKhw8L5Bk/TvOIBzmJ7WEi6ZCr29scKANgAQ0AP+Wh4a6HO0HwzBBgcyYEc1aeUMQBFdzTwqFgqZpt6uWN13VWgCAdARB0DQNU54BAK2BIAg7duxACE2ZMoWi/v0ySBDEiBEjTp48uXPnzokTJ7bRl6zyUxeO3/OYxM6Dti2TmoC2WDLf+6TqzHnnXRFCCA3541dK1UFi5yZS8+sv5V+tldhZ0TlJKC2QeuV1SwWdpF3yyKBQrCmvd9CEkMlWZ6ZbX/+On6AGaSybsIVD5UVSeiKEsNhEKwJFUVuOtPXvoG0khaXnXnx8sf6G1M5YgZDkeVQMibiaf3/Fjn8xObsRp5V0WWUYCnhaagyiBXFVUjsbcpApw2YLixCLEKobYMi9CKmkXlkyESGt2SIxx990lZpbB7GoXGqi2Jeh8kukPX4QoqX+gkHb5tXjMwC4yFqXQyaTwQw1IJ0oihKHxIuLi69fv+7qbofJyclufwkMCgpy70QAgEdQFGXdwLCNpnIAAN5Hp9NZB7a7dOlSryk5ORkhVFFRoYe5aAAAAADwKJgBDYAN1nmjFosF6nIAp0RRzM/P9/Pz4zguMNDRgrKIiAiEkBvTmTt16pSRkeHqo5GmaZmsNRa2BsDrwQaDAIBWS6/XWwfOVar6UwXVarX1h5qaGqWyfgWJgoKCixcv1juo1WoRQmaz2VrmosW59CnLwnESwxY5ThBcmKBnNptJj/5CrH8yjuMkTnpACFlc2QhE+mURQq50daGvIAgmkwkRkj7uChYX/tAcx1k89+ew1q8wGo3IZMKSfxkuTYsVBcGFUWsRIcm9RVGUfmXpnQVR5CT/hgmOkz4Zx7WABbFJJli69PRw6cKuRSH9sqJLTz3pXV17oRBdeM108VfRVNPMBUFoJe9lDZlMJtSU9715QAIaALusdTlEUeRc/NAJ2gme50mSJAgiRnLVPPdgjFNSUiorKwsLC6WflZSU1HQhAQBsIknS1VUOAADQnMxmsyiKNkvS1758GQyG/2vvzuObKvP9gT8nZ8nWdKe0pQXZKRUFZHFQBovA4LjgiLhcUFFeXnWuDogzXl4DwmVwHBcGF9wv4iheHBS5ouwO48pFFmXfkdJ9TZs0e87y/P54fp5XJmlLCk3TtJ/3H32lJ+ecPEmaJvmc53y/kRseOnRo8eLFYQtZu0KPx8OS6LhrduQtruz3RzlsLRhsU2Nnj8ejxuABaVMyEgw2W+iieW36phN9AqJRLfqKvKqiulxuLrr+JQa/P/r3Wq/PR9v76XC73ZzPY9FotIFnW2IjVVXbkKNSGv8AWtWi/w8gteW5a9OAVU2LRQAd07izLSvH5ihRm17RbRlD2/KTNh6sasOe20JRlE7yXhaJ/f9HAA3QxXEcxyZEs0aFif6ah/ZSVVUly7LNZktL66BC0mlpaWlpaeXl5U6ns/U1OY67lMIdANBWBoNBEASUbwKAzo99PGj2C7z+KTdxP0JkThr3y8OfRrmymGqLck1OFAesfI5GPb1azOjQLiPNMt95j+mW6VGuzBna8oxzUQeebfpDEkQu6rdR7fJrAgOGR7tnc/vXBSaEUJPVc/MiEvU0zzY8yG163Nr0YuUM0YeTHMdFvWobPv8ETf0bsqNtIMkRQ/QJtKQSUY2qOjkhnCnqO0d4khNtLz1CCNUs0R924WlatImcRk1tCyKiXlfTKI1ubY5w0Y+BUtqGwJq2JYPW2pDDRr9XQcDH+JhDAA0QLZ7neZ6nlCqK0qZJENCVUErLysoIIZIk5eXldXzelJeXl5eXFwgE6urqIpNojuN69+5ttVoT96sjQGJh58rEexQAANEymUwcx8nXZXrtAAAgAElEQVSyzE7kCr1Kr18RWZ2DEDJs2LBFixaFLfR6vStWrLBYLM1uEgdJSaTHv9RDk2WZnbksSdIlNWe2RZtWx4KmaV6v12QyteEdp5M8IyHY1ELWHeGSd5ZESGuF72KHzbI3m82EEGJLjssYLgWl1OfzsUNQFoslcY+dB4NBWZYtFkvifusJBALsv67ZbOajm/vfObnd7oT+W1JVlb2ueZ7//y/tzof9hSTuXzuDr0wAbcNxnCiKoihqmhYMBuM9HOhQsix7PJ78/PyysrKsrCz9XVbTtJqaGlVVrVZrampqB7wxGI1GlkSTLjFfCSDhGAwGURTxogOAhKPHBHa7nRXQ0NntdnYhObmZWC0/Pz8/Pz9sYUlJyYoVK4xGY6dtO0EpZQF0O+We8aGqqtfrFUUxoRsMsACadX2P91guHitik7h3gb0iWABtNBoTN/fUNE1RFKPRmNC5JwugJUlK6AJubrdbkqTEnZAhy7IeQHfalzb7yp/oXz0S9bUKEHfsw5PJZErct21oK1EUWb7Mij6zj24lJSUlJSWsULjL5WJfcjoS97MOvl2A7onlLJIk4UUHAInIbDZnZmYSQv7v//4vdDml9McffySE9O/fP6FTTgAAAOiEEEADXCpRFFkYkbhHX6FNNE0rLS11u93l5eXnz593u93sIATP87179+60R00B4FKwORHs1PV4jwUA4OJxHPfggw8SQjZt2hTa1E5V1e+//54Qcuedd8ZtcAAAANBFIS8DaB8Gg0GSJEyL6/IopeXl5YQQRVE4jvN4PDabjRDCcRwLpuM9QABoTzzPsynPCX1qJABAqOHDh/fr16+uru5vf/ubw+GglDY1Na1du/bo0aM9e/YcOnRovAcIAAAAXU2iVmkB6LQMBgM7b1Ev6gRdjNVq9Xg8brfb4/FYLJbMzEyz2YyjDtDZUEoppfE9M4Pn+QRt2WowGARBwHktANAlcRz38MMPP/XUU1u2bNmyZYu+XJKk+fPnN1sAGgAAAOBSIIAGiBWe53mep5SqqqooSryHA+0jGAymp6fLsuz1ejVNY88yK8GsNwMEiJe6urpAIMC6U5aVlWVmZloslriMRBRFg8GQcJ1aOY5juTMOKQFA1zZkyJBXXnll586de/bsKSsry8nJGTt27MSJE1mXCwAAAID2hQAaILZYnMF6wsqynKCTAUFHKa2srBQEgcXNLpeL47isrKza2trI1vCQENhT6XA43G43ayzJcVyvXr06W39Ru92uqmpWVhb7VZZlQRBYTsrugt7WvKSkRJKk/Pz8yBSVUsq6ZTY1NVFK9Y6aFy30uAubcC0IAs/zrEf8pey5g+n/qAEAuomcnJxZs2bNmjUr3gMBAACArg/ftQA6jiiKoihSSmVZZjkXJByO45KTkxsbGwOBACHEZrNRSmtqagghLM6L9wChbWpqanw+nyzLYXN1y8vLs7KyzGZzxwwjrFyGKIqapimKommaqqrsqrS0tGAwqCgKpdTlcnk8nqSkJK/Xm56ezrLpQCAQWvbH7/eLopiens4mQWua5vV67Xa7z+fTj4SlpaWx22r22BhLqw0GgyzLjY2Nqqrm5uay5WxXmqbp2TellO1K0zSW5Obk5MSubrLX662vr282ZG8T5M4AAAAAAACxhi9dAB2N4zhJkgghlFJFUTAnOrGwrJkQwvM8q6zC87wkST169IjruKANKKVlZWXJycmSJLFcNfRajuPMZrPBYOiYCbyqqnIcV15erpdL1m9XVVVN02RZZsG0IAiBQEAQBJYXC4Lg9/sJIU6ns9mher1eQogsy5IkKYrCQna2JsdxBoPBbDazP2OWGvt8PkKIxWJpampqampit6IH0EajMT093ePx2O12RVH8fn/kjbLxMBzH/fTTT0ajked5FvLyPJ+RkdEuD1ptba0syxc9d5vdfTQVBAAAAAAA6BgIoAHihuM4fU40kuhEwXGcqqosvHO5XISQ3NxcTHxOCA6Ho6mpKTs7m+Wk1dXVoihGvu6sVmswGPT7/X6/Py0tTVVVk8lktVoNBoPP5+N53mg0XvqsW0ppfX19U1MTm3nNisW3dGIEW84OeOhznKOsLO/1elkSzVgsFr02fSAQ8Pl8TqfTZDKxHbLQudk9+/3+6upqFlVHc7vsJrxeL8/zJpNJEASbzWYwGC7x5A+/39/Q0EAI6dWr10VsjvnOAAAAAAAAHQ9fwwDiD0l0AsnLy2tsbOR53ul0JiUleTyeysrKnJwcvXgCdB6qqrrdbq/Xy4resOnD1dXVgUCAxb7Nvtbcbje7EAwG2YR3juNYq0m2viAIrMMey5FVVb3gVFxFUTwej9frZS9wNhM5Lr1JQ8NoRlXV0MIdLYk+etaZzWZBENiDZjQazWbzpf9z43k+Ozu7TS839BUEAAAAAACILwTQAJ1IaBLd0jxEiC+O49LT0wkhKSkpmqZVVFQ0NTWpqpqcnJyamlpTU5OVlYWcK74opQ0NDR6Px+fzhb2IWO2Ii9hh6H6CwaBeMNpisbSSPmuaVllZqSiKz+frhmXfWU0Pm81mtVoDgUBJSQkhJC8vjxDi9/vr6uouom9nm+pmSJLEcRxejwAAAAAAAPGFABqgM2JT9tip4lHOT4QLKi0tveiisTpKKYsUc3JyJEnKz88vLS11uVx+v9/hcHAcV1lZmZubGwgE6uvrWdYG7YhSWl5ermkax3H9+vULzYX1pyasF1+MsJoSOTk5kfkmO4BUUVERGlV3Wy6Xy+VySZLEat+zGJrjuItIn6N06TVSAAAAAAAAoB0hgAbo7Hie53meEMLakXVMY7Qu6dLTZ0ZVVVVVz58/bzQas7KyCCE2m83lcrHQk+M41jXOaDS2y81BKPbwBgIB1kCPlcXgeT4QCFRWVjqdzg4YgyRJRqORzXkPXa5pGmvfx4ps4AyGUGFZvNVqLS0tzcrKMpvN7bJ/1lQQuTMAAAAAAEAnhAAaIGHomSZKRceFLMtVVVVGozEzM5OVd/B4PCUlJRaLhVKqd1ejlHo8HkKIqqoNDQ3BYDA7OzveY4+VYDAYZern8/lMJhPHccFgsLq6OjK9DSPLsiAIbM961YVgMFhWVsYKOwQCgePHj7NjMxkZGfX19ZHVjduXwWBgzfqSkpJ69OhBfn6KWWdCSmkgELiI+h7dlsViufSDNIIgsOMQ7TIkAAAAAAAAiAUE0ACJJ6xUtKqqmBbdAURR7NmzpyzLrLVaZmYmKzRMCOE4zmq1aprGfmVYxzmz2ex2uymlNpstfmO/JB6PJxAIpKenU0orKipSUlL0+1JTU8O6Mloslpqamt69e7N6x263W9M0VVVTUlJSUlLcbrfdbmfVeCmlmqYFg8HGxkaXyzVw4EBN08rLywkhPXv2rK6uzsvL83q91dXVffv2JYTU19frewsGg/pxF0VR9CnGwWAw1jU3TCYTy8HZPPrKykqO47xeLxLnNmEhPjtswOats8MSbd0JayoYmzECAAAAAABAO0MADZDA9FLRlFI9jI73oLoyo9EoSVJZWRn7NT8/PyUlxeFweDwe9vjbbDaWwLIVWNkBNjPa7Xbn5OTEbehtVF1dnZWVZTAYysrK2OGNtLQ0QoimaSxuZhkiS5/dbrfb7SaEnD17VlEUTdP0IyJut7uhoSEQCIT9ZXo8Hpbanzt3TtM0t9ttNpuLi4tVVS0rK5MkSRCEc+fO+f3+aApZdEDFZ5ae9+rVy+fz1dXVRbY3hNZxHJeUlEQI8Xq9qqoaDAa32200GkVRjLI2DiY7AwAAAAAAJCgE0ABdAUvHWBVUloQiHYsRjuPy8vJYClZXV8cmwPp8Phaw+v3+pKSkpKQkFsgyLpeLEGKz2Vi14jgNPFqlpaWEEErp6dOne/ToYTAYHA6HzWbTY3dCSEVFBc/zbEpyIBBoZW+U0pYqY1BKQx8lffJ46zvseElJSZIkZWdns/6HLD+N96ASD6WUvRAYTdPYYYwBAwa00qcRlZ0BABKCoiidtmO2fspUZx7kBWmaxu5IQp8AxJ4Ig8GQuE8EIURRFEpp4t4FVstRf1GwiTKJSJZldkcS94Ni6BMR77FcEnZHEvecbPa3RDr3f6dOO7A2QQAN0NXo06IJIezjUeJ+sGgvVVVV+r9sSin7mJKRkSFJkl5fOHr6R3/9gsViEUVRluVgMOjxeFid6EAgwIpvsHX8fn9FRYXNZktNTe20n5MURUlPT29qanI6nZqm1dXVsT+e0OiQEQQh0T8qXZDVahUEITs7u7KysrS0NKyNHlwEjuMkSZIkieM4i8WSkZHR7EMqimLnP1QDAAC622+/Pd5DAAAAgE6NS9zDFADQJmzqRLcNoz0ej9fr1QsQs4WseaDRaLRYLDabjVLqcDhEUbRarX6/X8/xIwmCoGkax3GsALcsywaDobKykl3r9XotFkvv3r3Ly8udTmfYtjabLSsri7Wz6yQqKipyc3MJIZqmuVwul8vV1NQU70HFE6v4zHGcpmmyLHe2SdmJRRRFk8lEKRVFMSkpKTk5OXIdjuN4nkeFDQCAhOPz+Y4dOxbvUbRm375927ZtI4Rcf/3148aNi/dwLhL7BGswGBL3jZJS+vTTTxNChg4dOn369HgP5+KpqspOPI33QC6SLMvvv/8++9oyb968xO1Sw4r+JfSL4quvvvr22285jnvggQfYd7EExcrrJe4TUV5evmbNGkVROv9/p8GDByfua5ZgBjRA92EwGCRJYpcTLoxmae+lvKvZ7XZ2Qf/IyPYmiiKbB11dXS1Jktlsrq2tZSuzDmmZmZkGg4FFY/qszNraWp/Pxzrsqara0NAQDAZ5nhdFMSUlhXWJ9Hq9kiQZDIawx9nlcrFaHJmZmRaL5aLvUTvq0aNHY2OjLMs+n8/v93fnEhOszDel1OPxJNALpPNgDyA74YDneUmSWgqd2Qo8zyfuVzgAADCbzaNGjYr3KFrz008/VVRUEEJSUlI6+VC7NtbLmhBSWFiIJyKOAoHAG2+8wZ6Lyy+/vEePHvEeUff1448/VlRUcBzXv3//wsLCeA+n+5IkqbKyUpblgoIC/HeKKQTQAN2RHkaz7oWdPIymlFZXV7OCD6IoshIWbrebnacvCILRaCQ/B8ot6d27dzAYlCSJFVJoaGhgyxVF8Xq91dXV7Fc2qZkdwlUUJRgMut1uFj1TSlnPNEEQTCaTqqp1dXW1tbWhs6T9fj/P8y6Xi1WSaulRlWWZ53mHwxHHALqurk7/xKlpmsPh0HsndmesQGRnfjl0KoIgSJKkH5hhlcEJIRaLJTs7u9mXpMFgEAThEo8nAQAAAAAAQAJBAA3QrbEYSA+j2czozlaZh+M4vUCEpmkNDQ2s9R+jnwfH5iOXlpZaLBbW+M5gMOTm5rpcrkAgkJKSwnJqVoLWYrE4nU5W2lhRlLA5v6G/siySLdELSbNbDNuKpW+R5ZIjybIsyzLr7NerV6+OnwFaWVmpKEpjY2NaWhohxGQyWSwWSZJ8Pl83L3PcnWd/R48diZEkyWQy2Wy2C5bOEAQB5TUAAAAAAAC6LQTQAPD/6WVY2a+U0mAwGPcwmlJaXl7OLhBCbDabyWQKDaD12ZQ+n8/n81FKGxsbDQYDq31x5swZk8mUkpJSU1NDCOF5Pjc3l8XHaWlpLH6llNbU1MiyTCmNJj5mm0QmlW3NLgOBgNFoLC8v7927d5s2vHQs0K+srGSPQElJidvt7g59BeEisKoa5OeTDKxWa3p6+gW3YmcnIHQGAAAAAAAABNAA0DyO49iUYYbVJeiAPFqvgKGqqizLtbW1rAC02+0mhLCAmOPa0EDV7XZ7vV6DwcDSVUVR2OYcx7ECAh6PR9+bXtSfUspuMXYURTEajWazOaa30orc3FxFUXw+H2uyh/QZCCGsyAyre85qmkf5J8qOYLXUtxMAAAAAAAC6LXxRBICoiKLILrBKHaqqxqhOrt/vb2pqYsUuAoEAO3k/LAtuaw7Oanewy7GOlaOnaZosy0lJSR12i5RSn8/X1NTE5rZTStnjjLoTYDAYWFUNjuMyMzOjDJ1ZQWd0EQQAAAAAAIBWIIAGgLYJrdTBQkyWR7fX5Gir1WqxWMrKyggh+hTsNk157oRYAVwawmq1JiUlpaamdsyMUVVVKyoqZFkOBoPosAeMIAh6U82kpCSz2XzBihlsZjQ7R6FjBgkAAHApBgwYMGPGDELIkCFD4j2W7o49EQUFBfEeSLfG8/ykSZMKCwsJISaTKd7D6daGDh06Y8YMjuOiqW4HsZORkXH77bcrioK3iVhL7EwHADoVFkazPPri9hAMBh0OBwu5CCFutzv0fxTbfzAYTLhiEZIkGY1GQRAyMjIopazTo17uI6ZUVXU4HE6n0+fzdcDNQednsVhY006z2cymPLe+PjvghGnOAAAAAAAAcHEQQANATLD/LayTYZu2Cm0JGAwGOY4TRbHZjCzKhoGdBM/zqqqyJJotMRqNPXv2vMTdqqqq942MpCjK+fPnWYln6M5EUTQajWGvo6SkpGYnXLDCGqy3Z0cNEAAAAAAAALoslOAAgJhg0RXHcaHndqmq2nrxaJZ55eTksF8ppXa7PRAIsP6H+gxrv98f6/G3o6SkpGaDvEAgEAwGJUkKXej3+yODwpaUlJR4vV5WSIGV7rVarWE3wao8QzdktVpDpy3zPJ+ZmRnaWTT0KpY4d+DoAAAAAAAAoLvADGgAiI82NTMsLS0lhNhsNhZnOxwOWZY1TVMUhZWz0Cdcx3rYF81sNrNK0IQQSinHcT179gxLA2tra+12u9Vq7d27dzT7rKqqcjgc7AHked5isVgsloyMDDYnmuM4WZYrKir8fr+iKCj93CWxYzaCIOjFNFiaHAgEjEZjZmZm5AR5Vsad/YzHkAEAAAAAAKB7QQANAJ0FpZTl0S1FpT6fz+12h9YyliTJYDAYDAZRFAkhwWCQVYhm0Xbre4sXg8EgSRIbsC4lJSUlJcXj8dTV1bFkUNO0pKQkURRDJ1Cz5Dp0w/r6epfL5fV69SVms9lms/Xo0YP9KstyTU2NpmmiKBoMBlmWFUUJBoPsAICe3UOiYPmyIAg8z7Mizqy8Rks1mllCzeqqY44zAAAAAAAAdDwE0ADQSbFslIXIzf6nYikzi1NVVbXZbKIoOp1Op9PJVsjOzlZVlcXWmqZ5PJ6OvQfR0rsRSpKUmpoqiqKiKEaj0e/3u1wun89nMpkyMzNVVa2qqiKEmEymrKwstklTU5PD4Qgrh200Gi0WS25ubtgNaZrm8/nsdjv5uSY1Wx4MBlEnunNiQTPLjg0Gg9VqtVqt7LhLS5voK6NtIAAAdHOqqv7444/Hjx/nOK6goGDEiBGCgBKUMaFpmsPhKCkpKS8vt9vtmqZlZ2cPGzYsPz8/cuXq6uqNGzc2u5+JEycOHDgwxoPt4ioqKjZt2tTsVZMmTerfv3/kcrfb/eOPP/7000+SJF155ZWFhYWYtXCJKKVvv/12Kytcc801l19+uf7riRMnvvnmm8jVDAbDTTfdpBeohNZpmuZ2u6uqqoqLi0tLSymlw4cPHzt2bOubHD169MiRI8FgcMCAASNGjEhKSmpp5dra2gMHDpSXl6elpV155ZX9+vXDK6VN8AYMAJ2UPnNTX6KXgVYUhRCiz302m836Omwqceh+zGZzWlqankSzpogs2u4ktaRD4+PGxkaz2SwIgsViYWNmtTVYY0ZCCKXU4/GUlpayMh02m83hcJjNZvZAcRyXlJSUmpoaFj46HI7k5OSKigpKqaIofr8fRx87LVEUWT0NjuMkScrKymq9H6BefAMfgAAAAHRnzpxZvHhx6PwDq9W6bNmyAQMGxHFUXdWOHTtef/31yOWjR49+9NFH09LSQhc2NjZu3ry52f0MGjQIAfQlstvtLT28Q4cODQugNU3bt2/f888/r7eNWbduXb9+/RYtWpSZmRnzsXZpLT0LzJAhQ0J/LSsra3Z9QRDGjRuHADoalNJnn332+++/D11oMplaCaBra2v/8pe//PTTT6HrL1iwYPjw4WHfpoPB4M6dO99++219ChchpKio6OGHHw7NIqB1CKABIGHokXTY7BVWD7qlRFVV1YqKitCdsJ+UUkmSZFnuVFGsPlNbn8dNCHE4HKydIyvaK0mSJElOpzM5OZnjuAsWjC4tLXW5XFVVVZ2tGgkwgiCwDy6CIKSlpbXyIYbneVZMowNHBwAAkHiqq6uXLl3q8XjGjx//q1/9ilK6c+fOr7766r/+679WrlwZlodCexkxYkRRUVFmZibHcVVVVWvWrNm3b9+SJUtWrFgROfd85MiRd955Z9jCyBP44OKMGTNm+vTpYQt79eoVtuTUqVPLly/XNO2OO+4YPnx4MBj88MMPT506tWDBgpdeeqmVqaBwQc8991zkwqNHj65Zs4bn+WZT0alTpxYVFYUuiea7HugsFsuYMWMKCgry8/M3b9584MCBVlZubGxcsGBBfX394MGD7777blEUDx06tH79+r/85S/Lli0LO0Kwbdu2VatWGY3GBx98sE+fPg0NDW+99daXX35ZXV29bNkySZJifM+6CATQAJDwwuopE0JYAWg2Y5rn+WbftmtqahRFYccwJUlilaMVRWFxdmfLaimlocWvk5KSfD6fPkta/x5FKa2qqtJTdY7jsrOzLRaLy+XqbPeoe2LH0lkdZ/bTYrGkpqZGTl5mrQXZynEYKAAAQMJSVfXVV19tamqaMGHCvHnz2DtpYWGhpmnffPPNM8888+yzz+LttX0VFhauXr06dM5sYWHhoEGD/vCHP5w/f37Tpk233npr2CYpKSlDhgzB+VsxkpqaWlBQ0Po6fr9/2bJlgUDg3nvvnT59OnsuCgsLFy9efOLEifXr19933314gi4OK/sTtlDTtM8++4wQcvfdd5tMpsitsrKyLvisQUs4jps3b57+665du1pf/7PPPquvr7/iiiuWLFnC8oTLL79cEIS1a9cuX778jTfe0EMGt9v9wQcfEEKefPLJ0aNHs4UjR46cP3/+qVOnDh8+PGrUqJjcpS4HBSIBoAvieV6SJKPRaPqZ0WhkkR+bRu10OgOBgKZpVqs1NTXVarVmZGRYLBZRFDMzM9PT09PT0202m9ls7pyfutxut8vlOnv27Llz5+rr60tLSxsaGiilsiy73W632+3xeDwej9vtLi4ubmhoiPd4uzuO40RRtNlsVqs1PT09MzOzX79+ffr06dWrV3p6OpvUbDQaw/5iWfXneI8dAAAgwdTX1xcXF1ut1v/4j//Q30kFQZg3b54oiiUlJaypBrSj/Pz8yIoN+fn5bI7zvn37OtUZh8AcOHDA7XZnZGTcdttt+lceo9E4Z84cg8Fw6NAhPGvtKxgMnjx50mg0XnvttfEeC5C9e/fyPH/XXXfpQTPHcTNmzDAajbW1tYcPH9bX3Lhxo9/vz8vLCw2arVZrUVGRpmlfffVVB488cWEGNAB0C/p8UqZnz549e/YkhMiyHAgEgsGgoiiUUo7jQmsFCoKgn3oW1uivM2CTmoPBYDAYdLlcdXV1LMHUi7iRnyeDx2+M3ZooikajkeM4NkWdlUxh34SRLAMAAMRIXV2dy+UaPnx42GnRgiCMGDFi3759FRUVeXl58Rpe96F/BOqc8zng7NmzhJDrr78+rNxtz549MzIySkpKZFk2Go1xGl0XdOjQIbvdPmDAgB49esR7LN2dx+MpKytLTU0Na5TK8/yNN964YcOGw4cPX3XVVYQQVVV/+OEHQsjs2bPD/pWNGjVq7dq1e/fuVRQFHW6jgccIALo1URQjK3iwo/2appWVlbEwl+O41NRUluTSn2n/quMHH0ZRFNaeEToSq0tuMBj0C+TnKc95eXmiKIZ9pgcAAICYYhOcU1JSInPPnj17UkpxcljHUFV148aNhJArrrgi8rk4e/bsokWLzpw5k5qaOnbs2IkTJ+bn5yPEaS+nT59euHAhe3ivvvrqoqKi3r17h02AcDgcpLnC0BaLxWw219XV1dfXR14LF0dV1VdeeYUQMnny5Mivn8wPP/ywd+/e4uLirKysX/ziFxMmTMjNzcW0lVgoKysjhIiiGFnonDWq1RsyBYNBv99PCBk8eHDYmqw5pN/vb2pqSk9Pj/WYuwD8fwcACMc+IvM8f9lll7EwmlKqKAorauHz+fQVWtkJpZTNTe6YMUO70ENkJvIpZiVcWIEX/ae+mv7lCjN9AAAA4qWmpoYQ0myUyequNjY2dvSYuqVdu3adO3euZ8+eN910U+S1ZWVlLAOqrq7euHHj5s2bhwwZsmDBguTk5A4faRd0/vx5dqG6uvrTTz/VH16bzaavwyK2yP5pehW4qqoqBNDt5cSJEy6Xy2KxTJw4saV1jh07xi6wV8fGjRtHjhw5b968VlqUw8WpqKggPzd4D7vKarUSQvSzovVv9JFlu/UlDQ0NCKCjgQAaAKA1LElkmaMkSc22TaeU+v1+r9fr8XhYA0BN01jRD47j9I6IHT727kt/1kLTZPYr+TlEJiFpMquVwX5i6g0AAEBC83q9hBCTyRR5PJh9EggEAnEYVndCKS0rK3v33Xd5nn/kkUcsFkvotRkZGX/84x8LCgpYGOp2u3fs2LFly5ajR4+uWrVq/vz5cRp1F5GVlbVw4cIhQ4awh9flcm3fvn3r1q1HjhxZvXr13Llz9TWDwWBYlUJG/6jMXkrQLvbs2UMIueGGG5qtatKvX7+lS5cOGDCApZ8Oh+Ozzz7buXPn7t27e/Xqde+993b0cLs6li832/CJHX3Ra1qyc51FUWzpDYXgPSVq+JoNAHCpOI4zm81mszkjIyPyWlVV/X6/3+8PBAIsjNY0jUXSeh0P/Vddx9+Lzon7GSEktMwFu8wWhs1ZFn8mCEKznxUAAACgC2Ontzd7Fhr7iIVT2mOtvLx80aJFDodjwYIFw4cPD7s2KysrK8mnvpEAABdXSURBVCtL/zU5OXn69OlDhw596qmnvvnmm9mzZ2Mu4aXIzs7Ozs7Wf01JSZkxY0ZBQcHixYu//PLLe+65R394eZ5nX0Za2lVLlSLgInzzzTc8z7OywpFY2Qddenr6fffdN3DgwOeee27Dhg3Tpk1LSUnpkGF2F+xvu9ngmL1N6OEy+yrabKFL/Ts73lOihAAaACC2eJ63Wq3saHZLWIkPRVFkWdZ/MpHZNPukmIiBNYuP9UyZva+HLWEn/QmCEHpBEAR2AfWUAQAAoHUs3GQnpYUdh2apdLMntEG7oJSePXt2xYoVDofjt7/97bhx46LZiuO4IUOGZGRkVFdX7969+8Ybb4z1OLsVjuOGDh2amppqt9v37Nlzww03sOWs2knkoRq9h3lokA2XYvfu3Y2NjSkpKQMHDoxyE47jrr76aqvV6vF4Dh8+PH78+JiOsLvJzc0lhMiyrGla2BdMn89Hfi7EQQgRRVGSJEqpLMth9Wr01w7eU6KEABoAIP5YzzpRFKOp8KVFYFE1S6VZYK1fpV8O3YNe2DpsSbML9W31pFu/oE9J5kKQkGnLbA4y+ymKIkuQ9anK+voAAAAA7YU1hvJ6vZEBNKv+nJqaGp+RdXWU0tra2meeecbhcDz55JPXXntt9NsaDIZ+/fpVV1ez2qzQvnie79+/v91ur6ys1BeyF4Ldbg9bORAIsGQtdKI6XDRVVVetWkUImTVrVrP1N1rCOhIdO3astrY2ZqPrpvLz88nPZyqH1QhirxE9gGYtfwgh5eXlYX0IWT9bjuMQQEcJATQAQIJhAW7s9h8WT7fyKxchdqMCAAAAiEZWVpbJZCouLlZVNfQjE6X0yJEjkiSxhBra3YkTJ1544QW73f7YY49FOfdZp6rqmTNnCCF9+vSJzei6NVVVT58+Tf714WUZ3O7du2+77bbQlevr6xsaGnJyctD7rl2UlJQ0NTWlpKS00n6wWYqinD17lvw8XRfaUVpaWkZGhtvtrqqq6t+/v76cUvrFF18QQvSsmef5AQMGFBcXf/LJJ3/84x9Dd3Lo0CFCSGFhYWQnT2gWzmUGAIB/oVfD0Kcq60Uw9LnMrCUjm93M5jUjfQYAAIDOoEePHr169aqrq/v222/1I+iapm3fvr2hoSEtLa13797xHWHXQyktLS3961//6nQ6f/e7302ePLmtsyUOHDjQ2NgoCMKYMWNiNMjubP/+/U1NTYIghNYgHjVqlCAIp06dOnz4sP5KUVX1H//4RyAQKCwsxMf7dnHo0KFAIDB69Oi21tT+6quvAoGAKIqFhYUxGlu3xXHcVVddFQgEvvvuu9Dzfffv319RUWEymfR/RBzHTZ8+3WAwfP/99+Xl5foeFEXZvXs3IWTy5MkdP/4EhQAaAAAAAAAAughJku677z5CyMqVKz/99FPWXWPTpk1vv/02IeSJJ57AbLV2d+bMmQULFtTV1T3xxBNFRUWtrOn3+99///3i4uJAIMCqujU1Nb3zzjvLly9XFOX666/HyeyXwufzrVmzhj28hBBKqdPpfPvtt1988UVN06ZOnRr68KakpDz00EOEkOeff/6HH35g5QjefPPNzz77jBAyffp0BNCXTtO09evXE0LGjh3b0jper3fdunXl5eWs8gml1G63v/jii2+99RYh5O6772bVuqF9sVrz//u///vmm2/6/X5VVX/44YeXXnqJEPLII4+ENnDKycmZMmUKIWTZsmXFxcWaptXX1y9atOjgwYM2m62lxpIQiUuU1lUAAAAAAAAA0di8efPq1atlWdaXCIIwZ84cNLiLhY8++uiDDz4ghDQbWQ4ePPiZZ54RBIEQ4vV677rrrsh1TCbTuHHj5syZY7PZYj3aLszj8dx9992Ry81m8zXXXPPAAw8kJSWFLlcU5b333vv8889DG8akpqbOmzdv5MiRMR9uN7Br167nnnvOZrOtXr26pQLQLpdr5syZkcuTkpImTpw4c+ZM1EKJ0tGjRxcuXMgu61Gn/k/plVdeCavws2fPntdff531BmB4nr/llltmzpwZdpyyoaHhjTfe2Lt3b2iC2rdv3yeeeAKn1EQPATQAAAAAAAB0NbIsf/zxx9u3b+c4bsqUKbfddpvJZIr3oLqmTz75ZO3atS1dO2jQoGXLlrEAmhBSX1+/d+/evXv3njt3LhAIXHbZZb/85S+vu+660CmHcNHq6ur27du3Z88eNg+6b9++v/zlLydMmNDKw1tXV7d+/frvvvvOYrHceuutU6dO5Xm+I8fcVWma9vTTTx86dOihhx5iU2hbUlVVtWfPnv37958/f15RlAEDBhQVFY0bNw7Rc5scO3Zs8eLFLV27YsWKyBLziqJs2bJl06ZNXq93/Pjxt912W48ePVraw5kzZz755JODBw/m5eXdeuut48aNi2lnpq4HATQAAAAAAAAAAAAAxATSegAAAAAAAAAAAACICQTQAAAAAAAAAAAAABATCKABAAAAAAAAAAAAICYQQAMAAAAAAAAAAABATCCABgAAAAAAAAAAAICYQAANAAAAAAAAAAAAADGBABoAAAAAAAAAAAAAYgIBNAAAAAAAAAAAAADEBAJoAAAAAAAAAAAAAIgJId4DAAAAAAAAAADoshwOx8GDB0+cOFFbW8txXJ8+fQYPHjxs2DCr1XrBbWtra/fv33/q1KnGxsbk5ORBgwaNHj06Ozub47gOGDkAQLtAAA0AAAAAAAAAEO7IkSMjR4684GpZWVnnz58XRTFsOaW0srLymWeeefPNNzVNi9zw97///eOPP56dnW0whJ+eTiktLy9fsGDB2rVrIze89dZbV65cmZubG7khAEAnxFFK4z0GAAAAAAAAAIDO5fDhw1deeeUFV8vKyiovLw8LoFVVfeGFF1566aWamhqDwXDXXXddf/31GRkZHMc1NDTs2LFj/fr1siynpqa++OKLs2fPDt2WUvraa6/96U9/qqurs1gsDz300JgxY6xWq9/v37t378svvyzLstVq/fOf/zx37tz2vcsAALGAABoAAAAAAAAAIJweQM+aNWvNmjXRb0gpXbly5fz581VVveaaa955553BgweHrVBcXPzoo4/u2LFj4cKFS5cuDb3qo48+mjlzpqqqV1999Zo1a/r37x9acMPpdN51113btm0jhDz33HNPPPEEz/OXelcBAGIJJ2sAAAAAAAAAALSorQWXN27cyNLnm2+++Z///GdY+sx22K9fv08//fTVV18Nu2rXrl0sfS4oKNi2bduAAQPCbj0lJWX9+vXjxo0jhCxZsuT06dNtv0MAAB0KNaABAAAAAAAAANqHLMvPPvusqqoWi+Xll1+WJKmlNSVJevjhh2tqakIXvvTSS6qqCoKwbt26lJSUZje0Wq0ff/zxiBEjamtr77jjjv379xuNxuhH2NjYeODAgdOnT7tcLpPJlJGRcdlllw0cODAjI6PZotKU0tra2iNHjpw6dcrn8yUnJ/fq1WvQoEF9+/YVhGZiJY/Hc/DgwSNHjni93pycnCuvvHLw4MHRTNPWNO3gwYOHDh2y2+25ubl33nln6Faaph07duzIkSPV1dUWi6WwsHDkyJHRNHIEgLhDAA0AAAAAAAAA0D7OnTu3Z88eQsiyZcv69u17wfV79uypX66srPzkk08IIbNnzx42bFgrW+Xk5Fx77bUbNmw4evTozp07f/3rX0czNkVRVq1a9dhjjymKEnntRx99NGPGjNAllFK32/3444+/8847kev36dPn/PnzYfvfsmXLzJkz3W536PLCwsLt27fn5uaGzeb2eDz5+fkul+vrr7/Oysr6xS9+UV9fz64aP378jBkzWABNKT1y5MivfvWr6urq0M3T09O3bds2cuRIFCEB6OQQQAMAAAAAAAAAtI9ly5YRQoxG46RJk9q67csvv8wuXHfdda2vyXHcnDlzNmzYQAjZsWNHNAG0oijz5s177bXXCCEzZ84sKioymUyqqtbV1W3dunXnzp2Rmxw/fvzmm28uLi4mhMyZM2fcuHFGo9Hr9R47diyyKDal9A9/+MNLL71ECBk/fvw999xjNpvLy8tXrFhx7NixgoKC99577ze/+U3kqBRF2bVr18qVK/1+/9KlS/v16yfLckNDA0urNU3761//unTpUo/HM3z48Pvvvz89PT0QCGzZsmXDhg1jx459+umn//jHP17w7gNAHKEJIQAAAAAAAABAOL0J4T333PP+++9Hs4miKKIoEkL69u27Z8+eHj16RH9zmqYVFBScPn2a5/lDhw4VFha2vr7b7bbZbISQG2+8cdOmTRfcf1lZ2eWXX+71etetW3fbbbeFXVtcXOz1ekNvtKqqqrCwsLGxsW/fvl988UX//v1D13e5XH/7298ee+wxfcnmzZtvuukmnufnzp27fPlyfbJzfX39ddddd+zYsdzc3OPHj4fWFfF4PDk5OS6XixAyZsyYr7/+2mQyhQ1s165dkyZNUlX1t7/97QsvvMAeXubVV19lA/j222+vvfbaCz4CABAvaEIIAAAAAAAAANAOnE4nu5CUlGSxWNq0rc/nk2WZEMJxXDTJtdVqZRWQw+pgtOTMmTNNTU0DBw6cMmVK5LV9+/YNi7yfffbZxsZGQshHH33Ur1+/sPVtNlto+tzY2HjHHXcQQgYNGrRs2bLQUhuZmZnvvvuuyWSqrKx84IEHWhreqlWrIitZ+/3+adOm+f3+8ePHP//886HpMyHkoYceKioqIoTMnz8/EAi0eu8BIJ4QQAMAAAAAAAAAtGjNmjV8y7Zt26avqdc+liSplfaDzQoGg6w0M8dx0fTW4zhu4MCBhJCGhoZo9u/xeAghfr9fVdVo1t+6dSshZNasWaNGjQqr3Rzp22+/9Xq9hJA//elPkcn7iBEj2FC/+uoru90eufmkSZOGDRsWeStbt25l6y9cuDDy8RRF8b//+78JIWfPnq2oqIjmTgFAXCCABgAAAAAAAABoDW1Z6Gp6tnvBxDaSpmn63gyGqOIaNmU4GAxGs/Jll11GCCkuLp4/f34wGIwcfCiXy3XmzBlCyMyZM6PZ+YkTJ9iFadOmRV4rCMLjjz9OCPF6vayidJh77rmn2d1+99137MKECROaXaF3796pqamNjY11dXXRjBMA4gJNCAEAAAAAAAAAWjRr1qzInnvNMpvN7IKiKKqqhpWMaJ0oijzPs8uBQEDfVSvYtN/U1NRo9t+3b98rrrji8OHDq1ev3rp167XXXjts2LCpU6cOHz48cpxHjhwhhBiNxoyMjGh2XlVVRQjJz89v6S6PGTOGEBIIBNiaYfLy8prdik1/tlqtc+fOJYSwxDz0p6ZpLPRvdmI1AHQSCKABAAAAAAAAAFoU/XRmPQv2er1+vz+ypV4rTCYTS281TWtsbLxgrCzLcnl5OSGkV69e0ew/KSlp06ZN06ZNO3LkSFVV1ccff/zxxx8vXrxYkqQlS5bcd999ubm5+j2trKwkhBiNxmiKgRBCWCPB7OzsllZgQTaltNlizS2VK2E1tT0ez2uvvdb6APx+fzTjBIC4QAANAAAAAAAAANAOTCbTsGHDjhw5Ultba7fbo5ybzIiiWFBQcPbsWU3TTp482bdv39bXP336NLswYMCAKG8iPz//u+++O3bs2D//+c9333331KlThJBgMLhw4cLXXnvto48+uuaaa9iarI6zqqqsL2I0gyeEsDLQzdJz52bT/JYifjYl/Kqrrnr11VdbH8CgQYOiGScAxAUCaAAAAAAAAACAdsBx3FNPPXXHHXc4HI5jx47179+/TdvOnTv3888/p5T+8MMPN9xwQysrU0r/53/+h12+8soro78Vi8UyevTo0aNHP/nkk3V1dZ9//vmGDRu2bdtWWVm5ZMmSf/zjH2y1YcOGEUK8Xm9jY2M0u2Vzn8+dO6dpWrMFrFnYLYpiZmZm9KPt0aMHIeT8+fNjxoyJsi42AHRCePUCAAAAAAAAALSPG2+8MScnhxDy6KOPaprWpm0nTpzIMusVK1bo/Qyb5fV6N2/ezC7PmjXrIsbJcVxWVtYDDzzw2WefPfLII4SQnTt36lOY8/LykpKSKKWHDx+OZm8sgPb5fOfOnWt2hdWrVxNCzGZz7969ox9kbm4uIcRutzfbuhAAEgUCaAAAAAAAAACA9mE2m++//35CSFlZ2Ysvvsh65bXk2LFjf//73/VfOY77z//8T0JIY2PjvHnzFEVpditK6VtvvcX6BL766qvp6ekXPVqO43ieLygoYL+GFsqYMmUKIeS5555zOBwX3E9RURG7sHTp0sjYvbq6etu2bYSQvLy8/Pz86Id31113sQvPPvts64k8AHRmCKABAAAAAAAAANoHx3FLly4dOXIkIWTBggU7duxotu1eMBjcvn372LFjT5w4Ebr8/vvvv+qqqwghb7zxxocffhi5raqq77///hNPPEEpLSoqeuCBB6IcmNvtDgaDkcsppayZYUZGRlpamr783//93w0GQ2Vl5e9+97tmh2G32/VfBw8e/Jvf/IYQ8vnnn+/fvz80dlcUZfXq1U6nUxCEtWvXCkIbisEOHDjw97//PcdxH3zwwe7du5vNoFVVdTqdbZ1sDgAdCQE0AAAAAAAAAEC7EQRh69at48aNUxRl6tSpkydP/vjjj+12O4tlGxsb169f/+tf//qWW27xeDyR23799ddTp05VVXX27NnTpk37+uuvPR4PpdTv9+/atevmm29mFTOmTJnywQcfmM3mKEe1atWqoqKip59++uTJk6zUhqZpFRUV8+bNYy3+nnrqqdD1J0+evHz5co7j1q5dO3HixB07dvj9fkKI1+v9/vvv77333ptuuil0/ffff//yyy93Op233nrrypUrvV4vpbS0tHT27NmLFy8mhDz44INtKlfNLFmyZMKECX6/f8qUKXPmzDl+/DjriyjLcnl5+bp166ZNm3bnnXeysQFA58S1fjIIAAAAAAAAAEA3dPjwYT0w5Xm+pdWSk5MPHjwYWdpYVdWnn376gw8+OHv2bLMbDhky5MYbb1y8eHFycnLYVcFgcOnSpWvWrCkrK4vcMDc39+abb37hhRdsNlv0d+fPf/7zokWLmr0qIyNj+vTpK1eulCQp7C4sX7789ddfLy0tjdyqT58+58+fD11y4sSJBx988Pvvvw+bqmyz2e64447XXnvNaDSGLvd4PDk5OS6X67vvvrvmmmtaGnkgEJg7d+7f//53p9PZ7ApDhw7dt2+fxWJpaQ8AEF8IoAEAAAAAAAAAwoUG0K1ITk4+fPhwnz59Iq+ilLpcrpMnT65fv3779u0nT57keX7MmDGTJk265ZZb+vXrZ7VaOY5rdreUUqfTeeDAgbVr137xxRdlZWW5ubkTJky49957R48enZqa2tKGLXE6nXv27Nm1a9euXbuOHz9eV1dntVrHjRv3b//2b5MnT87Kymp2h5RSh8Px7bfffvjhh5s3bw4EAtnZ2SNGjLjpppsmT54cea8DgcDJkyffe++9devW1dfXDx8+fNasWbfffnvPnj0NhvCz8KMMoAkhqqo2NDR8+eWX69ev37lzp9PpTE1NHTBgwKhRo8aPHz927Ng+ffq09QEBgA6DABoAAAAAAAAAAAAAYgI1oAEAAAAAAAAAAAAgJhBAAwAAAAAAAAAAAEBMIIAGAAAAAAAAAAAAgJhAAA0AAAAAAAAAAAAAMYEAGgAAAAAAAAAAAABiAgE0AAAAAAAAAAAAAMQEAmgAAAAAAAAAAAAAiAkE0AAAAAAAAAAAAAAQEwigAQAAAAAAAAAAACAmEEADAAAAAAAAAAAAQEwggAYAAAAAAAAAAACAmEAADQAAAAAAAAAAAAAxgQAaAAAAAAAAAAAAAGICATQAAAAAAAAAAAAAxAQCaAAAAAAAAAAAAACICQTQAAAAAAAAAAAAABATCKABAAAAAAAAAAAAICYQQAMAAAAAAAAAAABATCCABgAAAAAAAAAAAICY+H8TxlNBKR3jQwAAAABJRU5ErkJggg==" width="960" /></p>
 </div>
 <div id="figure-e.-country-scores-across-scenario-year" class="section level5">
 <h5>Figure E. Country scores across scenario year</h5>
@@ -3809,7 +3796,7 @@ <h5>Figure E. Country scores across scenario year</h5>
 <li>Which goals are volatile across years (natural products, tourism
 &amp; recreation)</li>
 </ul>
-<p><img src="data:image/png;base64,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" width="3000" /></p>
+<p><img src="data:image/png;base64,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" width="3000" /></p>
 </div>
 </div>
 <div id="summary-of-average-annual-change-in-scores" class="section level3">
@@ -3854,18 +3841,18 @@ <h5>Table C. Global average scores for index and goals.</h5>
 <tbody>
 <tr class="odd">
 <td align="left">Index</td>
-<td align="right">66.29</td>
-<td align="right">67.28</td>
-<td align="right">67.43</td>
-<td align="right">67.50</td>
-<td align="right">67.42</td>
-<td align="right">67.36</td>
-<td align="right">67.31</td>
-<td align="right">67.01</td>
-<td align="right">66.62</td>
-<td align="right">66.48</td>
-<td align="right">67.23</td>
-<td align="right">67.47</td>
+<td align="right">72.15</td>
+<td align="right">73.15</td>
+<td align="right">73.28</td>
+<td align="right">73.29</td>
+<td align="right">73.31</td>
+<td align="right">73.23</td>
+<td align="right">73.17</td>
+<td align="right">72.90</td>
+<td align="right">72.60</td>
+<td align="right">72.44</td>
+<td align="right">73.20</td>
+<td align="right">73.46</td>
 </tr>
 <tr class="even">
 <td align="left">Artisanal opportunities</td>
@@ -3970,7 +3957,7 @@ <h5>Table C. Global average scores for index and goals.</h5>
 <td align="right">69.34</td>
 <td align="right">69.30</td>
 <td align="right">69.30</td>
-<td align="right">69.97</td>
+<td align="right">69.98</td>
 </tr>
 <tr class="odd">
 <td align="left">Fisheries (subgoal)</td>
@@ -4079,18 +4066,18 @@ <h5>Table C. Global average scores for index and goals.</h5>
 </tr>
 <tr class="even">
 <td align="left">Tourism &amp; recreation</td>
-<td align="right">4.55</td>
-<td align="right">4.64</td>
-<td align="right">4.75</td>
-<td align="right">4.93</td>
-<td align="right">5.40</td>
-<td align="right">5.65</td>
-<td align="right">5.60</td>
-<td align="right">5.57</td>
-<td align="right">1.19</td>
-<td align="right">1.80</td>
-<td align="right">1.94</td>
-<td align="right">2.13</td>
+<td align="right">78.69</td>
+<td align="right">78.84</td>
+<td align="right">78.60</td>
+<td align="right">78.22</td>
+<td align="right">79.79</td>
+<td align="right">79.63</td>
+<td align="right">79.42</td>
+<td align="right">79.80</td>
+<td align="right">76.86</td>
+<td align="right">77.14</td>
+<td align="right">77.47</td>
+<td align="right">77.89</td>
 </tr>
 </tbody>
 </table>
@@ -4100,13 +4087,13 @@ <h5>Figure F. Average annual change in OHI Index scores.</h5>
 <p>Map (top) and histogram (bottom) of the slope estimates from a linear
 regression model of the Index scores from 2012 to 2023 for each
 region.</p>
-<p><img src="data:image/png;base64,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" width="960" /></p>
+<p><img src="data:image/png;base64,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" width="960" /></p>
 </div>
 <div id="figure-g.-average-annual-change-in-ohi-goal-scores." class="section level5">
 <h5>Figure G. Average annual change in OHI goal scores.</h5>
 <p>Map of the slope estimates from a linear regression model of the 10
 goal scores from 2012 to 2023 for each region.</p>
-<p><img src="data:image/png;base64,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" width="960" /></p>
+<p><img src="data:image/png;base64,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" width="960" /></p>
 </div>
 <div id="figure-h.-average-annual-change-in-ohi-subgoal-scores." class="section level5">
 <h5>Figure H. Average annual change in OHI subgoal scores.</h5>
@@ -4116,14 +4103,14 @@ <h5>Figure H. Average annual change in OHI subgoal scores.</h5>
 livelihoods and economies. The scores are displayed as a map (left) and
 histogram (right).</p>
 <p><br>
-<img src="data:image/png;base64,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" width="960" /></p>
+<img src="data:image/png;base64,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" width="960" /></p>
 </div>
 <div id="figure-i.-barplot-of-average-annual-change-in-goal-trends-for-each-region." class="section level5">
 <h5>Figure I. Barplot of average annual change in goal trends for each
 region.</h5>
 <p>The values are the slope estimate from a linear regression model of
 the scores from 2012 to 2023 for each region and goal.</p>
-<p><img src="data:image/png;base64,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" width="1500" /></p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAC7gAAB1MCAIAAAB0epDVAAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAC4jAAAuIwF4pT92AAAgAElEQVR4nOzdeWBTVd74/3OTtE1TSlq6UNmKULCgtSLbVGTG6SiOiiMiI1PnAQUVEKb6dRAUFwQcnMcFx5FtAGV+OlbUiqjgKIqKOoxSilBatrIILRS6UbqkzdLk/v64z1wzXdK0zdbm/frrc29Ozv3cnNy0ST45R5JlWQAAAAAAAAAAAAAAAADdncbfCQAAAAAAAAAAAAAAAAC+QKEMAAAAAAAAAAAAAAAAggKFMgAAAAAAAAAAAAAAAAgKFMoAAAAAAAAAAAAAAAAgKFAoAwAAAAAAAAAAAAAAgKBAoQwAAAAAAAAAAAAAAACCAoUyAAAAAAAAAAAAAAAACAoUygAAAAAAAAAAAAAAACAoUCgDAAAAAAAAAAAAAACAoEChDAAAAAAAAAAAAAAAAIIChTIAAAAAAAAAAAAAAAAIChTKAAAAAAAAAAAAAAAAIChQKAMAAAAAAAAAAAAAAICgQKEMAAAAAAAAAAAAAAAAggKFMgAAAAAAAAAAAAAAAAgKFMoAAAAAAAAAAAAAAAAgKFAoAwAAAAAAAAAAAAAAgKBAoQwAAAAAAAAAAAAAAACCAoUyAAAAAAAAAAAAAAAACAoUygAAAAAAAAAAAAAAACAoUCgDAAAAAAAAAAAAAACAoKDzdwIAAAAA0J2VlJSYzWZ/ZxHoHA6HEmg0/JwjWKiDrmDog4csy7IsCwY9mKiDrpAkSZIkP+YDX1Je7Rn0oHLs2DE1jo6Ojo2N9WMy8CX+pQ9C/EsftPiXPgg1+ZeeoQ8qyqt9QA16v379QkNDO9mJ5PycBgAAAAB41uzZs/fu3evvLAAAAAAAAACgy3v33XcHDRrUyU4CqPAHAAAAAAAAAAAAAAAA8B6WXgIAAAAAr7vvvvumTZvm7ywCl8lkMpvNYWFhPXr08Hcu8JH6+vqGhgYl1mg00dHR/s0HPmO1WmtrayVJ6tWrl79zgY/YbLaamhp102g06nR8JhksKisrhRA9e/YMCQnxdy7wkYSEBPVP/IIFC5588kn/5gOfqa2ttVqt4eHhBoPB37nAR+rq6iwWixLrdDqj0ejffOAzZrPZZDJptdqoqCh/5wIfsVgsdXV16mZ0dHRALcQD73E4HFVVVSIwBt1kMt18882e6o03pQAAAADgdaGhoREREf7OInDJsqzRaMLCwniUgookSUqg0WgY+uAREhJit9slSWLQg4fNZmtsbFQ3IyIiKJQJHkrBREREBIUywcPhcNjtdiXW6XS82gcPu92u0+nCw8MZ9ODhcDi0Wq0Sc70HFa1WK8uyVqtl0IOHTqdzOBzqZkREhN9rJuAbDodDqYnsfoPOm1IAAAAAEEIIs9mckZGhxJmZmenp6f7NBwAAAPA2W3mlw1Tf3nvVhBpqQ/Ut3iTLP8W1NZazxdUdzg1dS11dnc1m0+sbw8Mb224Nf5BCJSlSbrud20xmk9VqVWKdXddQL3mwcwQyi8VSb6nXarXm+ra/NZeEMOiEXufozBfsOlNDJ+4dXEzljTazJ690hdVqNZlM6qbGWNvNaia6KGPyAEnDa28HUSgDAAAAuCsjI8NsNrd4k1arjYyMvPTSSwcNGjR69OikpCT1Z1XoQtQfvzr/SgYAAADorkrX/n81X3zb3nt9NmXGP+ojW7zJYv/pH+mvPztRdfqjjicHwKOGjokvGl/p7ywQdOLDe6T2qh1/ic4hX+x4J9/sk/5TlQXX8t/vcTjroL+zgI9MN/1TGx7m7yy6KgplAAAAAHfZ7Xa1kKL5TZWVlZWVlbm5ue+++254ePjs2bN/+ctfqguLAAAAAAAAAAAAv2NOJAAAAMDzGhoaXn755SeffLKxMbAmna6pqbn9P/7973/7Ox0AAAAAAAAAAHyKGWUAAACAjtiyZYvz4kqyLFsslqKioqysrH379ik78/PzV65c+fDDD/spx5apk+LIsudXLAYAAAAAAAAAIJAxowwAAADQEU3WVJIkSa/XDx06dOnSpbNmzVL3f/XVV8eOHfN5dgAAAAAA76quPfvm1hlllYX+TgQAAADtQ6EMAAAA4GETJ04cNWqUuvn+++/7MRkAAAAAgDfIQjgcdiGYqhMAAKCLoVAGAAAA8Lxp06ap8a5du1jkCAAAAAAAAACAQKDzdwIAAABANzRgwADnzerq6qioqBZblpeX79q16/Dhw0eOHDGZTMr6TcOHD7/mmmv69OnTgUPb7fb8/Pxdu3YdOnSorKyssbFx+PDhy5cv78hpeJndbt+zZ09OTs7+/fsvXrwYHR09dOjQcePGjRkzJjQ0tL29ybJcVFR04MCBQ4cOnThx4sKFCzqdrl+/fkOGDBk5cuSVV17ZgT4BAAAAAAAAAN0MhTIAAACA52m1WoPBUF9fr2yaTKbmhTLV1dXPP/98fn6+806r1Zqbm5ubm/vGG28MGjTo8ccfj4+Pb+0opaWlc+bMUeJly5alpKQUFhYuW7aspqbGuZnNZhNCzJ0799y5c85z2zz//PMaTQtzTGZnZ+t0P71T+Pbbb1966SUlzsrKMhgMLk48Pz9/8eLFSrx+/fq4uDgXLZ999lmTyaTuKS8vV8qGwsLCHn/88REjRhw7dmzhwoXKrWvWrLnkkkta7MpkMn3++efvvfdekxO3Wq2FhYWFhYUff/yxJElz586dMGGCJEku8gcAAAAAAAAAdG8svQQAAAD4QX5+/j333NOkSqaJkydP3nfffbt27WqtgSzL9v8QQuTm5j7yyCNNikVUSjOHw9Hi3Z25Pkqb1MYuFpzaunXrE0884Vwl48xisTz99NM7d+50s7eFCxdu3LixtRNXz2L16tVLly51fgQAAAAAAAAAAMGGGWUAAAAAz7Pb7ep0MkKIiIgI51tPnTr1xBNPqJupqanTp09PTEwMCQlpbGw8e/ZsVlbW7t27lVufe+65Z555JjU11fUR9+7du2XLFiFEUlLSPffck5SUFB4eLstyWVmZi1Ibv9i7d++GDRvUzZtuuum2227r3bu3RqOxWCwnTpx47bXXjh8//tJLL91xxx3ud5uYmHjrrbcOGzYsJiYmPDxcCGG326uqqnJycl5//XWz2SyE+OGHH7KysqZNm+bxkwIAAAAAAAAAdAkUygAAAACeV1xc7LxpNBrV2G63L126VN2cMWPG7bffrm6GhIQMHDjwiSee+Oyzz1atWqXsXL58+ZtvvhkaGuriiO+//74QYtKkSTNmzFBXF5IkKSEhQSk3WbdunRDi4sWL06dPV25dsGDB+PHjO3GWHWGz2Z577jl1s0kNkF6vv/zyy1esWLFhw4Zt27Zt3rzZnT5Hjhy5aNGifv36Ndmv0+ni4uJuueWW66+/fvHixYcPHxZCZGdnT5w4MTo62hNnAwAAAAAAAADoYiiUAQAAADwvKytLjceOHatWrgghvvzyy8rKSiW+8cYbnatknE2YMKG0tDQ7O1sIYTabN2/enJGR4fqgqampzlUyLdJoNC3GPrN9+3ZlchchxLx581qcKUeSpPvvv//HH388ePCgO33OnDnTdYOwsLCnn3767rvvtlgsQohPP/20zQfTTbW1tV9//bXrNspBGxsblQAtUhb2cjgcPErBw3k1N1mWGfrg0djYqAQMevBosnqj1Wp1cz1HdBs2m43lLwNWx4bGxbqoAAIWL8XwC+VPBn84fEbmSg8mFotF6+XPd9WL12q1uv7Y2QfUjxE88pJCoQwAAADgYdu3b1cXThJCNFk/6O2331bjGTNmuOhn6tSpW7ZsUb5Q3Lx589SpU12XtsyZM8fvb1fapJT+CCF69Ohx/fXXt9ZMkqTZs2c/+OCDnjquwWCYPHnypk2bhEcLZcrLy5csWeK6zeDBg4UQVqu1trbWIwftxmw2m81m83cW8ANZlrlAgg2DHsycl6dEkGDQA1nH/vtSqx4BdCF2B4Wq8AOH7BBCOBwOqRNf58uyHOgfeAUMSuKCSl1dnabR6rNj+eZALqhvKzxSKOOHn5ACAAAA3ZLVaj158uTy5ctXr16t7hw3blxycrK6WVFRUV5ersTp6ekGg8FFh6Ghob/5zW/Uzk+dOuWicXx8fN++fTucvG9UVFRUVVUp8e23367Val00HjhwYExMjAePPmLECCWoqqpSZ7UBAAAAAAAAAAQVZpQBAAAAOmLy5MnO07e0uILA0KFDH374Yec9RUVFanzttde2eZSf/exn77//vhIfP3580KBBrbUcP358m735nXOtj1q24sL48eM/+OADTx3daDSqcXV1tV6v91TPAAAAAAAAAICugkIZAAAAoCNcT2Sq0+nuu+++X//6100WSzp79qwa9+nTp82jJCQkqPHp06ddtOzfv3+bvfmd8+nHxcW12d5FYVBzsiwXFxcXFBQcPHjw7Nmz58+fV5etVTgPWU1NTe/evd3vHAAAAAAAAADQPVAoAwAAAHhGRETEwIEDk5KSxowZk5ycHBIS0rzNuXPn1Lhnz57u9KnGzlUmzUVHR7cnWf8oLS1VY9fLTincX3ppz54969atKysrc7O91eqZ5XsTExO/+OIL120WLFgghAgPD/fsSlLdjMlkMpvNYWFhPXr08Hcu8JH6+vqGhgYl1mg0XeJFDB5htVpra2slSerVq5e/c4GP2Gy2mpoaddNoNOp0fCYZLCorK4UQPXv2bPF/YwQCc1iYpe1WTYWEhAib55MB4FX8/YVfaDUaIYRWq3XIHe/EeVJnuKblSg8mvXr10oaHefUQDoejqqpKCBEdHd3kF6G+p04Q7pFMuFQAAACAjtiyZYtWq23vvWy2nz5OducjKud/+pvMj9JEl/jAy7k8xZ33M2Fhbr3TW79+/bZt2zqeVidotVrnFZ1apHyaI0kSH+u4g0cpaDH0wUMdawY9eDQZa/4mBiEGHQACgSR4KYZf8MQDvMUH/2Y7v4X3+7/0nk2gC3yYDgAAAASgjv1f7vxTWrvd3mZ759WC3KwaCWTOp+9wONqsNHJn3pedO3eqVTIajWbixIlpaWl9+vSJiIjQ6XTOb+FKSkrmzJnT0dwBAAAAAAAAAN0BhTIAAACA7/Tu3VuNa2trnVdWapHJZFLjPn36eCstt8lyG/Pkuq7+cT79hoaGNmfgV+bqd324devWKXHPnj1XrlzpYvUWdyqTAAAAAAAAAADdm5/XkQIAAACCSr9+/dS4pKSkzfalpaVqnJiY6JWc2uI870ubtSYVFRUubu3bt68al5eXt3noU6dOuW5QUlKi1hI9+OCDLqpkxH8/mAAAAAAAAACA4EShDAAAAOA7AwYMUOPvvvuuzfY5OTlqPHjwYM8m0+b0MIqePXuqcW1trevGBQUFLm51rvXZv39/m4f+5ptvXDc4c+aMGicnJ7tuvHfv3jaPCAAAAAAAAADo3iiUAQAAAHwnLi4uNjZWiT/77DOz2eyisc1m++ijj5Q4NDR00KBBnU9Ao/npLUBjY6M7d1ETFkL8+OOPLlpardadO3e6aBAXFxcZGanEW7ZscTgcLhoXFxe3OeuMxWJRY+eZb1psuX37dte9AQAAAAAAAAC6PQplAAAAAJ+aOnWqEsiy/NZbb7louWXLFrUQ5LbbbnOucekwvV6vxu4sfiSEiI+PlyRJidXCnRa98847rmtfJEn67W9/q8Q1NTVff/11ay1lWV6/fn2buTkX8RQVFblouXHjRjcLgwAAAAAAAAAA3RiFMgAAAIBPXX/99dHR0Ur8wQcftDbNyTfffPPmm28qcVhYmFpf0kk6nS4iIkKJ9+zZ485dtFrttddeq8RHjhzZvXt3i82+/PLL7OzsNnu7+eabQ0NDlfgvf/nL4cOHm7eRZfmNN97Iy8trszfntZxWrVrVYimMLMvvvPPOJ5980mZvAAAAAOC+qMi+0297Iz7mMn8nAgAAgPahUAYAAADwKa1W+9RTT6mbq1evXr58+enTp5UiD7vdfubMmRUrVrz44otqm8cee8x5JphOSk9PV4IjR45s3bq1trZWlmXXd5k2bZoaL1++fNOmTRcvXlTuZbFYjh07tmTJkpdfflmr1bZZ0BMaGjp//nx189FHH924cWNZWZkyFY3Vai0sLHz88cc3b94shLjttttc9xYZGTlu3DglLi4unjdvXl5enrqgVX19fV5e3vz587OysoQQU6ZMcd0bAAAAAAAAAKDb0/k7AQAAACDoJCUlLV26dOnSpUp1yO7du1ubpkUI8cc//nHkyJEePPqkSZO2bt2qxBs2bNiwYYMQQqPRqOsrZWdn63T/9U4hISEhIyNj06ZNyuamTZvU2Nn//u//Wq3WNueVSUtLmz59+htvvKFsfvDBBx988EHzZpmZmYmJiR9++KGyqabXvFleXl5dXZ0Q4ty5c85FSM7mzZuXmpr63nvvuc4NAAAAAAAAANC9MaMMAAAA4AcjRoz4+9//npyc7KLNgAED1q9ff91113n20HFxcY8++miTuhOHw2H/jxbv9bvf/W7OnDmt9RkbG7t69erLLnN3yvEpU6Y8/fTTrU2To9VqH3/88RtuuEEpJFI0qd1RGQyGtWvXDh06tLVj6fX6JUuW3HjjjW7mBgAAAAAAAADoxphRBgAAAPCP6Ojo559/vqys7F//+tehQ4cOHz5cV1dnMBguu+yy4cOHX3PNNf369fPSoceNG/f2229///33e/bsOXXq1Pnz55WFn1yQJOnmm28eP378N998s2fPnqNHj9bX18fGxl5++eXXXXddamqqVqttVw4jR4586623vv/++5ycnLy8vIsXL0ZFRQ0ZMmTcuHFpaWlKDU11dbXaPiIiorWujEbjCy+8cOzYsZ07dxYUFBQXFwsh4uPjhw8fnpaWNmLEiJCQkHblBgAAAAQJXZQx5JLe7b1XZHhY35DwFm/Kc4oNEaFxvXt0NDV0MQ6HQ5Zl58lKEWh6GENj9Z68JJVBV2JJkjQafpwfLGRZdjgcbg56VGh4hE6WJEkrWv5pllvCY4XO2vG7B5NQY2jkpQke71YZdHWzvR8Dwlv4m9sJkvo3DAAAAAACyubNm19//XUl/vDDD7vo562zZ8/eu3fv3LlzZ86c6e9cAlddXZ3ZbA4LC4uMjPR3LvARk8nU0NCgxBqNplevXv7NBz5jtVpramokSYqJifF3LvARm83mXPwaFRXV2kRx6H4qKiqEEEajkcLl4BEREVFfX6/ETz755DPPPOPffOAzNTU1Vqs1PDzcxY8c0M3U1tZaLBYl1ul0UVFR/s0HPmM2m+vq6rRabXR0tL9zgY9YLJba2lp1s1evXtTGBQmHw3HhwgURGINuMpl+8YtfCCHefffdQYMGdbI3nsEAAAAAAtS3336rBAMHDuyiVTIAAAAAAAAAgIDCrzcAAACALsBsNmdkZChxZmZmenq6f/PxhibneOWVV548eVLZvOGGG/yXFwAAAAAAAACg+6BQBgAAAPCujIwMs9nc4k1arTYyMvLSSy8dNGjQ6NGjk5KSXCzxa7f/31rOzksCdzPqOdrt9jVr1qj7R48e7aeMAAAAgO6mdPXfTXkF6ubADGPH+mlITmmIlpvttqvRhwWlP76+p2Odo8ux2+2yLGs0Gr+vywCfUQZdiSVJcvGBhjdEhGru/HmZR7rSN2grM7Z4pKsg4XA4HA6H7wfdeyRJujVnTdvtAHQjFMoAAAAA3mW329X6j+Y3VVZWVlZW5ubmvvvuu+Hh4bNnz/7lL3/ZvZcZkmV548aNd955Z2RkZGttvv766wMHDihxWlpaQkKCr7IDAAAAujlryXnz0RM/bVfHCrkjtfgO+6U2R33TvU5vZSpMtsPnazvQMwC0qWe4rspywSNd9ZANlXsLPdIVuqpu/UEcgBZR2AsAAAAEioaGhpdffvnJJ59sbGzswN1rampu/49///vfHk/Pgz788MPf//73f/3rXwsKCmpra5WfoDmXE6lVMlqtds6cOf7JEgAAAAAAAADQ7TCjDAAAAOA7W7ZscZ6WVpZli8VSVFSUlZW1b98+ZWd+fv7KlSsffvjhDvSv1pqosx8Hsi+++OKLL75w0UCn0z3//PPR0dE+SwkAAAAAAAAA0L1RKAMAAAD4TpM1lSRJ0uv1Q4cOXbp06bZt29avX6/s/+qrryZOnDhkyBC1pV6v/+ijj3yaq7+NGDHikUcecbE8EwAAAAAAAAAA7UWhDAAAABAQJk6c+MMPP+Tm5iqb77///qOPPurflLxEkqR33nnnxx9/PHz48PHjx8+cOXPhwoXa2lqdThcbG5ucnJycnJyWlsZEMgAAAAAClrns9OG/zhpy/4oeA6/wdy4AAABoHwplAAAAgEAxbdo0tVBm165dsiw3mYGm2wgPDx8+fPjw4cP9nQgAAAAAdIgsy/ZG0RUWvQUAAEATFMoAAAAAgWLAgAHOm9XV1VFRUT47usPhOHr06P79+48cOXLixAmz2RwZGZmUlHTVVVeNHTs2NjbW9d1lWS4qKjpw4MChQ4dOnDhx4cIFnU7Xr1+/IUOGjBw58sorrwwNDfVS5na7PT8/f9euXYcOHSorK2tsbBw+fPjy5ctdpFpQUPDNN98cOHCgsrIyPDz8sssuGz169Pjx4w0Gg5eSBAAAAAAAAAAEAgplAAAAgECh1WoNBkN9fb2yaTKZ1EIZs9mckZGhxJmZmenp6c53nDt37rlz52Sn3zI+//zzGo2m+SGys7N1uqbvAmRZ3rFjx6uvvtrQ0OC8v7KysrKycvfu3evWrRs1atSsWbMSEhKa92kymT7//PP33nuvpqbGeb/Vai0sLCwsLPz4448lSZo7d+6ECRNczJHj+hwVpaWlc+bMUeJly5alpKQUFhYuW7asyaFtNltr7c+fP7948eLz588755mTk5OTk7NmzZr58+f//Oc/by1DAAAAAAAAAEBXR6EMAAAA0DXY7XYlcDgczW9Sb1XIstxkT2tMJtNTTz11/Phx181yc3Nzc3M/+uij5jctXLiwuLjY9d1lWV69evV33323ePHiFit4FC7OUe3H+bxyc3OXLVvm+rjO7Y8fPz5//ny5ldnRZVl+8cUXTSbTTTfd5KJPAAAAAAAAAEDXRaEMAAAAECjsdrs6nYwQIiIiwttHbGhoyMzMrKioUDb1ev2dd9557bXXxsTE6HQ6WZZra2uLioo+//zznTt3uu4qMTHx1ltvHTZsWExMTHh4uBDCbrdXVVXl5OS8/vrrZrNZCPHDDz9kZWVNmzbNI8nv3bt3y5YtQoikpKR77rknKSkpPDxcluWysrJdu3Y1b19QUJCdnS3LcnJy8vTp0wcNGqS0r6ioyM7O3r59u9Js7dq1aWlpvlz0CgAAAAAAAADgMxTKAAAAAIGiybwsRqPRzTuuW7dOCHHx4sXp06crexYsWDB+/Pg277hixQq1SiY1NXXRokUGg0G9VZIko9GYkpKSkpJy7733vvXWWy12MnLkyEWLFvXr16/Jfp1OFxcXd8stt1x//fWLFy8+fPiwECI7O3vixInR0dFunpoL77//vhBi0qRJM2bMUFd0kiQpISHhjjvuaN5+06ZNQojp06ffcccdzu3j4+PnzZs3YMCADRs2KDs3b9587733dj5DAAAAAAAAAECgaXXOcwAAAAA+lpWVpcZjx45Viznc5LykkYvljVQFBQU5OTlKnJSUtGTJEucqmSaMRuMDDzzQ4k0zZ85sXiXjLCws7Omnnw4LC1M2P/300zZzc1NqaqpzlUyb0tPTp0yZ0mL7iRMnxsXFKfH27dtbW56pCdkNbuYGAAAAAAAAAPABZpQBAAAAAsL27dt3796tbrY4J4pnOdflLFy4UKvVeu9YBoNh8uTJypwun376aUZGhke6nTNnTrvKiVzMEyNJ0uTJk5W5ecxm84ULF2JiYtrs8Mcff7zzzjtdtxk8eLAQor6+Xp28B62xWCwWi8XfWcAPHA4HF0iwUVa+83cW8I+LFy/6OwX4WnV1tb9TwH+xWq0e6aex0eaRfgCgA2SHx36XYrfbPdUVui7enrTLhQsX/J0CfC0QBr2+vl4JHA5H53tjRhkAAADAn6xW68mTJ5cvX7569Wp157hx45KTk7163Nra2oMHDyrxiBEjEhISvHo45ShKUFVVZTabO99hfHx8375925VAZGSkiwbDhg1T40B47wcAAAAAAAAA8DhmlAEAAAB8Z/Lkyc4zoLT4o6WhQ4c+/PDD3s7k1KlTanzDDTd4+3BCCKPRqMbV1dV6vb6THY4fP75d7UePHu26gXOG/NgdAAAAAAAAALolCmUAAAAA33E9LaROp7vvvvt+/etfazRen/qxqKhIjQcOHNj5DmVZLi4uLigoOHjw4NmzZ8+fP99kDR3nc6+pqendu3cnj9i/f/92tW9z1pzQ0FA19tR09AAAAAAAAACAgEKhDAAAAOBPERERAwcOTEpKGjNmTHJyckhIiG+OW1JSosbOM6l0zJ49e9atW1dWVuZme4+UoURHR7erfVhYWOcP2kRMTMwf//hH120+++wzIURISEhERITHE+g2LBZLY2OjTqfzxjAhMFmtVpvNpsSSJBkMBv/mA5+x2+3KAny8KgYPddAV4eHhPqgJRoAwmUxCCL1er9Vq/Z0LflLnoeHQaLRC2DzSFQC0l/N8vZ2kkfjPBLw9aUNjY6PzL+IMBoMHr0EEMlmW6+vrRYANukcyoVAGAAAA8J0tW7YEyJcEzqUqnazOWb9+/bZt2zqdUbvpdP5/O2M0Gu+66y7Xbb7++mshREhISHh4uE+S6pLsdntjY6NWq+VRCh4Oh8O5UIahDx5Wq9VsNjPoQcVmszkXyoSFhQXCH3H4hlIoExYW5rNycLjDU29JKHoD4E+e+7pW0gTKV7/wI96euGaxWJwLZfR6Pf8GBAmHw6EUygTCoKsTllMoAwAAAHQxgVN377zMkM1m0+v1Hetn586dapWMRqOZOHFiWlpanz59IiIidDqdJEnqKZeUlMyZMwOS++0AACAASURBVKeTaQMAAAAAAAAA0BkUygAAAADBqE+fPmpcU1MTGRnZgU7sdvu6deuUuGfPnitXrnSxHJLdbu/AIQAAAAAAAAAA8CDmRAIAAACC0YABA9T49OnTHeukpKREmU5fCPHggw+6qJIRQpSWlnbsKAAAAAAAAAAAeAqFMgAAAEA3JMuy6wYDBw5U4x07dnTsKGfOnFHj5ORk14337t3bsaMAAAAAAAAAAOApFMoAAAAA3YRG89O/942Nja4bR0ZGqqUtubm5HZvuxWKxqLFWq3Xdcvv27R04BAAAAAAAAAAAHkShDAAAANBN6PV6NS4vL2+z/bRp09R4xYoVDoejvUeMjY1V46KiIhctN27c2GbtDgAAAAAAAAAA3kahDAAAANBN6HS6iIgIJd6zZ0+b7VNSUkaNGqXER44c+dOf/mQ2m1trbDKZXnvttSY7ExMT1XjVqlUtlsLIsvzOO+988sknbeYDAAAAAAAAAIC3USgDAAAAdB/p6elKcOTIka1bt9bW1sqy7KL9I488Eh0drcS5ubkzZszYunVrRUWF3W4XQsiybDKZjh49unr16oyMjA8//LDJ3SMjI8eNG6fExcXF8+bNy8vLU6tt6uvr8/Ly5s+fn5WVJYSYMmWK504UAAAAAPxJ33vg1f/7RY9LU/ydCAAAANpN5+8EAAAAAHjMpEmTtm7dqsQbNmzYsGGDEEKj0UiSpOzMzs7W6X56F2AwGFatWvXYY48VFxcLIUwmk3ovN2VmZubl5dXV1Qkhzp0799RTT7XYbN68eampqe+9916HTgsAAAAAAAAAAM9gRhkAAACg+4iLi3v00UfVshiFw+Gw/0fzu0RGRq5cuXLmzJnOBTTNpaamrlmzpvl+g8Gwdu3aoUOHtnZHvV6/ZMmSG2+80e2TAAAAAAAAAADAW5hRBgAAAOhWxo0b9/bbb3///fd79uw5derU+fPnGxsbXd9Fo9FMmjTp1ltvzcvL279//6FDh06fPm21Wnv16jV48ODU1NSxY8fGx8e3dnej0fjCCy8cO3Zs586dBQUFyuQ08fHxw4cPT0tLGzFiREhIiIdPEgAAAAAAAACADpFkWfZ3DgAAAADQbc2ePXvv3r1z586dOXOmv3MJXHV1dWazOSwsLDIy0t+5wEdMJlNDQ4MSazSaXr16+Tcf+IzVaq2pqZEkKSYmxt+5wEdsNlt1dbW6GRUV5XoeO3QnFRUVQgij0UjldECxnCq219apm4YErdBILtq3xh4eZteHNtkZHTmovv7//sTf/9CCuY883uE80bWYTKbGxsawsDC9Xu/vXOAj9fX1NptNibVabY8ePXx5dEkSfWNsnumrwW4/WOGZroKD1WptaGjQaDTd6S1872uv8HcKAc1isdTW1qqbvXr10mhYuCYoOByOCxcuiMAYdJPJ9Itf/EII8e677w4aNKiTvfGmFAAAAAAAAACAYBE2sL9H+tEKoW1h9081N70jw67qF+WRYyHw1dRorFZreHh4RESEv3OBj9TWai0WixLrdLqoqC57veuFuDbB30l0JWazua6uTqvVRkdH+zsXAOggSr0AAAAAAAAAAAAAAAAQFJhRBgAAAIB/mM3mjIwMJc7MzExPT/dvPgAAAEDXUr39K3udyZ2WklbTMylcm2gUQljC9I0ah3rTtgNGWe7I0kstsjtkNf7x+IXPtx3xVM8IcGaz2W63h4SEhIY2XZALHaZP1Nli7P7O4r/0CtP10DUqscVicdhsl1aeEUJoNBq5MryTnVcVSefzq9tuB3+z2WxWq1WSJIPB4O9c4CONjY3qDFJCiFKDQZI89s+D7/W+NiXm6iH+zgJ+RqEMAAAA4AEZGRlms1mJN2/e7PcVW7sKu/3/PvJzOByuWwIAAABoovwf2dbiEndaaiPCDHcO1kT2EkLUxw0yi3L1phVfDHWubukkm1NXB/eff7Nhj6d6BoLQsMm9f7y0wt9Z/Jcx8fHGkFJ1M0yEXH7iUyXu/OtI3an+u+f/q9PdAEAbRr8wh0IZUCgDAAAAeIDdbldrPgAAAAAAAAAAQGDid64AAAAAAAAAAAAAAAAIChTKAAAAAAAAAAAAAAAAICiw9BIAAAAA/9Dr9R999JG/swAAAACAllXXnt2688kJ1yyKjxnq71wAAADgMcwoAwAAAAAAAAAA0JQshMNhF0L2dyIAAADwJAplAAAAAAAAAAAAAAAAEBRYegkAAADwKVmWi4qKDhw4cOjQoRMnTly4cEGn0/Xr12/IkCEjR4688sorQ0NDO9az3W7ft2/fN998c/jw4crKSqPROHz48BtuuCE1NVWSpCaNL1y48PXXX+fk5Jw+fdpms1166aWjR4+eMGGC0Wj071m44HA4jh49un///iNHjpw4ccJsNkdGRiYlJV111VVjx46NjY0NwJwBAAAAAAAAAAGFQhkAAADAR0wm0+eff/7ee+/V1NQ477darYWFhYWFhR9//LEkSXPnzp0wYULz0hZnpaWlc+bMUeJly5alpKScPHly8eLFzj1XVlZ+++233377bWJi4rPPPhsZGanst9vtr7766scff+zc4ZEjR44cOfKPf/wjMzPzhhtu8M1ZmM3mjIwMJc7MzExPT2+tpSzLO3bsePXVVxsaGpz3V1ZWVlZW7t69e926daNGjZo1a1ZCQoJXcwYAAAAAAAAAdGkUygAAAAA+snDhwuLiYtdtZFlevXr1d999t3jxYo2m1ZVSZVm22+3qZn5+/hNPPNFa49OnTz/00EN/+9vfQkNDGxsbH3vsscLCwtYar1y5UgjholbGg2chhFDPwuFwtNbGZDI99dRTx48fd33Q3Nzc3Nzcjz76yNs5AwAAAAAAAAC6LgplAAAAAJ9KTEy89dZbhw0bFhMTEx4eLoSw2+1VVVU5OTmvv/662WwWQvzwww9ZWVnTpk1zp8P9+/dv3rxZCDFq1Kjf//73/fv3DwkJsdlsJ0+efPnll0tKSoQQFRUVr7322gMPPLBixYrCwsKwsLCZM2f+7Gc/MxqNkiTV1NR8+umnWVlZSocrV65MS0vr0aOHL8+iNQ0NDZmZmRUVFcqmXq+/8847r7322piYGJ1OJ8tybW1tUVHR559/vnPnTtdd+SxnAAAAAAAAAEDAolAGAAAA8JGRI0cuWrSoX79+TfbrdLq4uLhbbrnl+uuvX7x48eHDh4UQ2dnZEydOjI6ObrPb7OxsIcScOXNuvvlmdWdoaGhycvIrr7wyd+7csrIyIcQnn3wSFRW1a9euPn36vPDCC+pKTEIIo9E4derUhISEFStWKHu2bt2qLorkm7NozYoVK9QqmdTU1EWLFhkMBvVWSZKMRmNKSkpKSsq999771ltvBULOAAAAAAAAAICARaEMAAAA4CMzZ8503SAsLOzpp5++++67LRaLEOLTTz9trVqliZtuusm5SkYVGho6d+7cJUuWKJubNm0SQvz5z392rpJR/fznP3/zzTdLS0uFEP/85z9bO7T3zqK5goKCnJwcJU5KSlqyZIlWq22tsdFofOCBB3ycc1lZ2apVq1y3MZlMQgiLxVJbW+tOn8GpsbFRCGGz2XiUgocy6Apldig/JgNfUtbaY9CDSpMFFuvr6yVJ8lcy8Iv6+nqWtvQSFwuYNuG8eKvdbhet/lsNIIA4r7kcIOyNdhHitc4D73wBdEt8TOc+WZaVoK6uzu/v4+rr65XA/f+BXaBQBgAAAAggBoNh8uTJSkWL++Uad999d2s3XXHFFc6bkydPbm2uFEmSbrnllo0bNwohqqura2trW6yncUfHzqI5dTUoIcTChQtdVMl0Xsdyrqur++c//+m6zeDBg4UQdrtdqcKBCw6Hg0cpOMmyzNAHIQY9aFmtVn+nAF+z2Wz+TqHbUr+6cIfjP43bdS8AfiR74otAz3LIXkzJI198AkCbGhsbeUPaXoHwPs6zo0YhPwAAABBYRowYoQRVVVVms7nN9qNGjXJejaiJ0NDQ3r17q5u/+tWvXHQ1dOhQNb548WLbubauvWfRXG1t7cGDB9XeEhISOpOPOzqfMwAAAAAAAAAgwDGjDAAAABBYjEajGldXV+v1etftR44c6bpBnz59lAWVhBCXXHKJm4e+ePFi//7928jVva7cOYvmTp06pcY33HBDhzNxX+dzBgAAAACgA6JjDDGxEU129ovvGdLTawsddUhvQ2SU/qcf4YcIneg12FOd6/vExKexGAoAr+vRL06no0wiIDgvzO1jPAMAAAAAn5Jlubi4uKCg4ODBg2fPnj1//nyTSSOdpxquqalxng+mRW02UOebCQsLc/0mMCwsTI1dz5Dv8bNorqioSI0HDhzY3rs3542cw8LCnKfhcUGj0fAO3AWHw+FwODQajUbDvKfBQhl0dZMLJHjIsmy32wWDHkzUQVdotVq/r20Pn1E++GbQvaddD6zamMEAAtConw2YOOWKJjt1YRq7LrBWIwrRaDSSc0qSptcoT3WeMErzy1/5f2kPAN1eSKRBawhrux28TJbl2tp21Ed69mMEPpIAAAAAfGfPnj3r1q0rKytzs707i786V7e0SK088NQUKd44i+ZKSkrU2Hmul47xUs59+/Z96623XLeZPXu2EEKv10dFRbl59CBUV1dnNptDQkIiIyP9nQt8xGQyNTQ0KLFGo+ECCR5Wq7WmpkaSJAY9eNhsturqanUzMjKSMqngUVFRIYTo0aNHSEhgzYjQbVS4XWQsSZJOq1VirU7nqigeQOCgrg0AvECSJH6p5T7lZ05eesTa9cmA+p7CI8nwphQAAADwkfXr12/bts2PCXjkLYTPzsK5VKWT36z4/ZEHAAAAAAAAAAQICmUAAAAAX9i5c6daq6HRaCZOnJiWltanT5+IiAidTidJkjoReklJyZw5c/yXqSu+PIvQ0FA1ttlsHZ4Op3s88gAAAAAAAAAAj6BQBgAAAPA6u92+bt06Je7Zs+fKlSujo6NdNPZVXu3j47Po06ePGtfU1HRsRZ7u8cgDAAAAAAAAADyFxbcAAAAAryspKTGZTEr84IMPuqjVEEKUlpb6JKl28/FZDBgwQI1Pnz7dsU66xyMPAAAAAAAAAPAUCmUAAAAArztz5owaJycnu268d+9eL6fTQT4+i4EDB6rxjh07OtZJ93jkAQAAAAAAAACeQqEMAAAA4HUWi0WNtVqt65bbt2/3fkYd4eOziIyMVEtbcnNzOzbdS/d45AEAAAAAAAAAnkKhDAAAAOB1sbGxalxUVOSi5caNGxsbG72fUUf4/iymTZumxitWrHA4HO3toXs88gAAAAAAAAAAT6FQBgAAAPC6xMRENV61alWLBRmyLL/zzjuffPKJD/NqH9+fRUpKyqhRo5T4yJEjf/rTn8xmc2uNTSbTa6+91mRn93jkAQAAAPhFVGTf6be9ER9zmb8TAQAAgCdRKAMAAAB4XWRk5Lhx45S4uLh43rx5eXl5as1HfX19Xl7e/Pnzs7KyhBBTpkzxW6Iu+eUsHnnkkejoaCXOzc2dMWPG1q1bKyoq7Ha7EEKWZZPJdPTo0dWrV2dkZHz44YeBkDMAAAAAAAAAIGDp/J0AAAAAEBQyMzPz8vLq6uqEEOfOnXvqqadabDZv3rzU1NT33nvPt9m5y/dnYTAYVq1a9dhjjxUXFwshTCbThg0bNmzYEMg5AwAAAAAAAAACFjPKAAAAAB7gcDjUWJKk5g0MBsPatWuHDh3aWg96vX7JkiU33nijV/LzEL+cRWRk5MqVK2fOnKnTuSr0T01NXbNmTfP93eORBwAAAAAAAAB4BDPKAAAAAJ0ly7LValViSZJaLJQRQhiNxhdeeOHYsWM7d+4sKChQpkiJj48fPnx4WlraiBEjQkJCfJd0R/nlLDQazaRJk2699da8vLz9+/cfOnTo9OnTVqu1V69egwcPTk1NHTt2bHx8fEDlDAAAAHhbz19ea79w0Z2WGp1GOyRK9OglhAjT9NRoYtWbbk+Ntztav2c75WsktbMBl0ZfN2GIx7pGYLNarQ6HQ6fTuf6FA1qTlBwXGtb0odNohVYTWL9410pCkv6TkiwLIWRNiBBCSEISLX8Y4j5JCJ0hsM4XrZFlWRJCtPIJGLolWZbVuLUPP7sKSaf1dwrwP8n5OQ0AAACgA6xW65QpU5S4X79+Lc5rgqA1e/bsvXv3zp07d+bMmf7OJXDV1dWZzeawsLDIyEh/5wIfMZlMDQ0NSqzRaHr16uXffOAzVqu1pqZGkqSYmBh/5wIfsdls1dXV6mZUVBTfoQaPiooKIYTRaKQuOXhERETU19cr8ZNPPvnMM8/4Nx/4TE1NjdVqDQ8Pj4iI8Hcu8BFZlp2/ZNQEWE0PvEcdegY9eHC9BzNlJvVAGHSTyfSLX/xCCPHuu+8OGjSok735/3wAAACArq68vFyNBw4c6L9EAAAAAAAAAACAK/x6ozsrKyvbt2/foUOHTpw4UVZW5nA4jEZj//79Bw4cOHz48Msuu8xoNPo7Rx8pLS2dM2eOEi9btiwlJcW/+ZjN5mPHjhUUFBw9evTcuXNVVVUOhyMiImLAgAGXXnrppZdeOmzYsN69e3f1icv8yGw2Z2RkKHFmZmZ6erp/8+l+jh07tnDhQiVes2bNJZdc4rNDB9rl3Hm8VqsCZHAZEYUfL/MmfPOS3vmnX25urhqPGTPGY5l5QlD9WQycpy4AAAAQDMx2m6P1SeutdketpdGX+cAjdBpHsyWA2iYLmyxsstA5ZKsXkuqSNPZGoV4fDmG3uVrhQQoJ0YR2aPItvkcAAKD9KJTpnk6ePLlq1arjx4832V9eXl5eXv7DDz+8//77QogBAwb85je/ufbaaw0Ggz/S9B1Zlu12u7+zEEKIc+fOZWVlffPNN81vslqtVVVVeXl5ymZkZOSdd95544036vV63+bYTagjrkwIBo9TH2EfL+EXOJdz5/Fa3YTfB5cRacJfl7mLTLz3kt7Jp199ff2mTZvUzauuusr9+2ZkZJjNZiXevHmzl2awDKo/i4Hz1AUAAAC6vRUHviiqu+C8x+r46b3VP3JLdrzcwgehCHCTUsPv+/mBdt9NJ4RO1ApR2+CFnLqmXoeqQooL/28jxHD0hTOuGk++JfZ/prT7GFqNLiooftMFAIBnsfRSdyPL8qZNm/7f//t/zb/na66oqGjVqlUPPPCADxKDzWZbu3bt7NmzW6ySaa62tva1116bOnVqVlaW1UoNPtCt8FodaBgRdJjZbN63b98DDzxQX1+v7ElPT4+KinK/B7sT7+QIAAAAAAAAAAB+wowy3c22bducf9CckpJyxx13DB48uEePHhqNxuFw1NTUFBUV7dy584svvvBjnp1UU1Nz9913K/GCBQuuueYa/+bTptra2oULF549e1bdc8kll0yaNGnYsGGxsbEGg0GSJFmWzWZzeXl5QUHBP//5z+LiYiGELMvvvPNOWFjYlCntryUHAl6Xu5Y9hdfqQBMkIwIPstlsd9xxR/P9RqNx1qxZvs8HAAAAAAAAAAC4iUKZbqW0tHTDhg3q5pIlS66++mrnBlqtNjo6Ojo6OjU1dfbs2Vu3bs3KyvJ5mp7RhSbVr6+v/8Mf/lBVVaVsRkdHP/roo8OHD2/STJIkg8GQmJiYmJh4yy23FBcX/+1vf8vPz/d5voBPdaFr2VN4rQ40QTUi8Kqrr776kUce6fZrcgEAAAAAAAAA0KVRKNOtZGdnq/Ef/vCHJt/zNaHX63/729/ecsst7777rvdTC16yLC9ZskStkhk6dOjy5cvDwsLavGP//v2XL1++Z8+eF1980cs5dkN6vf6jjz7ydxZAy3itDjSMSIAL8Jf0Hj16DBkyZNiwYePHj+/bt6+/0wEAAAAAtIO57PThv84acv+KHgOv8HcuAAAA8B0KZboPWZZ37NihxBqN5le/+pU79zIYDPfcc48X0wp6X3zxxZEjR5Q4Njb22WefDQ0Ndf/uo0eP/vvf/15QUOCd7AD4Gq/VgYYRQceEhIQEcvkOAAAAAMAtsizbG0UAz4MLAAAAb9D4OwF4TE1NjcPhUOJhw4ZptVr/5gMhhM1m+9vf/qZuLlq0qF1VMgqDwTBmzBiP5gXAb3itDjSMCAAAAAAAAAAAQFBhRpnuo6GhQY179uzp8f7Ly8t37dp1+PDhI0eOmEwmvV4/dOjQ4cOHX3PNNX369PH44XxAluWCgoJvvvnmwIEDlZWV4eHhl1122ejRo8ePH28wGDxyiO+++85qtSpxcnLykCFDPNJta+x2+8GDB/ft23fo0KGioqLGxsaYmJiUlJSrrrpq9OjR7a3R8fiI2+32/Pz8Xbt2HTp0qKysrLGxcfjw4cuXL2+x5Z49e3Jycvbv33/x4sXo6OihQ4eOGzduzJgxHag0apMsy0VFRQcOHDh06NCJEycuXLig0+n69es3ZMiQkSNHXnnllV3ooJ56Vtvt9r17937//fd5eXlVVVVRUVGXXXbZNddcM3bsWG88Gp3nwRP34EXUIl6r28vbr9VeHZFAvtK73GXeLg6H4+jRo/v37z9y5MiJEyfMZnNkZGRSUtJVV101duzY2NhYN/vxwb8K7VJWVrZ37979+/efPn26oqJCo9HExcUNGjToiiuuGDFiRHx8vEeOEsjPW+HRp65vHk8AAAAAAAAAQKChUKb70Ol+Gs1Tp055sOfq6urnn38+Pz/feafVas3Nzc3NzX3jjTcGDRr0+OOPu/464dtvv33ppZeUOCsry/U3Ivn5+YsXL1bi9evXx8XFqTfNnTv33LlzstNkmM8//7xG08LcSNnZ2c6PSRPnz59fvHjx+fPnnc8oJycnJydnzZo18+fP//nPf+4iQzd98MEHajxlypTOd9gaWZY//fTTjRs3WiwW5/0lJSUlJSXbt2/XarWzZs369a9/LUlSm711fsRLS0vnzJmjxMuWLUtJSSksLFy2bFlNTY1zM5vN1vy++fn5zz77rMlkUveUl5cr3/2HhYU9/vjjI0aMOHbs2MKFC5Vb16xZc8kllzTpxGw2Z2RkKHFmZmZ6enqLeZpMps8///y9995rkpjVai0sLCwsLPz4448lSZo7d+6ECRPceejc4amDNn+QPfWsPnr06LJly2pra9U9FRUVFRUVyhAsWrTo6quvbt85t8RT17Lw0OXs2YvIBV6rm/D7a7WXRiTAr/TOX+bOL7MPPvjgL3/5yxabffXVV6+88ooSS5KUnZ3d4pw9sizfddddZrNZCDFp0qS77767tWO5eElXu9qxY8err77qXAIlhKisrKysrNy9e/e6detGjRo1a9ashIQE1+fom38V3FRbW/uXv/wlNze3yf7i4uLi4uKvv/5aCDFs2LD77ruvM1W5Af68FZ77C+WbxxMAAAAAAAAAEJhYeqn7MBqNanzu3Lny8nKPdJufn3/PPfc0+ea1iZMnT9533327du1y0UaWZft/uHNctbH83wvEKjvVZTKa9OzMRefHjx+fPXu287c1TVJ98cUXP/nkE3fydMFisRw/flzdvPzyyzvZYWvq6+sXLFiwdu3aJl/wO7Pb7WvXrn3mmWfafPw9MuJNhjs3N/eRRx5p8q1bi7Zu3frEE084V8k4s1gsTz/99M6dO0XrzxCV2sD52dLEwoULN27c6DoxWZZXr169dOlSF/20i6cO2uRB9tSzeseOHQsWLHD+DtKZxWJZsmSJ8g1iJ3nkWhYeOnHPXkSu8VodaK/VXhqRQL7SPXKZ6/X6vn37Kol9++23rTX79ttv1fwbGxvPnDnTYrPy8nKTyaQ0GzlyZPMG7rykCyFMJtP8+fNXrlzZpEqmidzc3FmzZrloIHz19HNTdXX1/fff37yqo4nDhw/Pnz/f9bm7FsjPW+G5v1A+ezwBAAAAAIAfTZs2LfQ/fvzxR3+nAwAILMwo032EhIQkJycfOXJE2XzmmWf+/Oc/R0REdKbPU6dOPfHEE+pmamrq9OnTExMTQ0JCGhsbz549m5WVtXv3buXW55577plnnklNTe3MEX2goKAgOztbluXk5OTp06cPGjQoPDxcluWKiors7Ozt27crzdauXZuWlhYVFdXhA509e1aNY2JiOjkWrbFYLA899FBpaamyGRcXd/fdd1955ZU9e/aUJMlisRQWFm7YsOH06dNCiNzc3BUrVqhzsTTnjRHfu3fvli1bhBBJSUn33HNPUlKS8oCXlZU1+cJ+7969GzZsUDdvuumm2267rXfv3hqNxmKxnDhx4rXXXjt+/PhLL710xx13tO9hcikxMfHWW28dNmxYTExMeHi4EMJut1dVVeXk5Lz++uvKDAc//PBDVlbWtGnTAvOgnnpWFxQUqHM/CCF+9atfTZkyJSEhQaPRmM3m48ePr1+//vTp0ytWrPDsEHSYR07csxdRm3itdpPPXqu9MSKqALzSPXiZX3fddW+88YYQIjc31263N58qxm63N6lF2LdvX2JiYotZqXFSUpLr47amoaEhMzOzoqJC2dTr9Xfeeee1114bExOj0+lkWa6trS0qKvr888+VgksXfPb0c9PSpUvr6+uVOC0tbfLkyX379jUYDJIkORyOuro6ZRIUNbFOCsDnrfDoU9fHjycAAAAAAPCLxsZGdVb71n5wCwAIWhTKdCt33XWXugrGqVOn/ud//mfy5Mnp6el9+vTpwFohdrt96dKl6uaMGTNuv/12dTMkJGTgwIFPPPHEZ599tmrVKmXn8uXL33zzzdDQ0M6dhyvr1q0TQly8eHH69OnKngULFowfP979HjZt2iSEmD59+h133KE+LJIkxcfHz5s3b8CAAWqtxubNm++9994Op1pSUqLGgwcP7nA/rr3yyivqF/w333zz/fff7/xVpV6vv/LKK//617+uWbPms88+E0L861//uummm1JSUpp35aURf//994UQkyZNmjFjhvMDnpCQ4PxVls1me+6559TNJl/k6/X6P7WyCwAAIABJREFUyy+/fMWKFRs2bNi2bdvmzZvbfGTcMXLkyEWLFvXr16/Jfp1OFxcXd8stt1x//fWLFy8+fPiwECI7O3vixInR0dEBeFCPPKvtdvvy5cvVzSeffHLMmDHqZnh4eEpKyl//+tdXXnnlyy+/7PwQdP5aFh46cQ9eRG7itdodPnutFp4eEUVgXumevcyvvvpqpVBGCFFcXDxw4MAmDZrPH7Nz585JkyY17+pf//qXEiQmJur1etfHbc2KFSvUKpnU1NRFixY5rx0mSZLRaExJSUlJSbn33nvfeustF1358unXprNnz6oT1N11112/+93vnG/VarVGo9FoNF5xxRUzZ8786KOPOnOswHzeCo8+dX35eAIAAAAAAAAAAhOFMt3KVVddlZaW9t133ymbdrs9Ozs7Oztbq9WOHDkyJSVl6NCh/fr1i4yMdKe3L7/8srKyUolvvPFG529enU2YMKG0tDQ7O1sIYTabN2/enJGR4YmzcUWj0bQYuyk9PX3KlCkt3jRx4sQPPvhAWXpj+/btM2fO7PC3pM7rdwwYMKBjnbh2/PhxdcGLMWPGzJ49u8VsNRrNvHnzCgsLT506JYR4+eWXX3311eYtvTfiqampzlUyLdq+fbvyI3UhxLx581qc7kKSpPvvv//HH388ePCg6yO6aebMma4bhIWFPf3003fffbeyIs+nn37a+ae3lw7a+Wf1jh071EWvZs6c6fwdpEqj0Tz00EOnTp06efJkmym5o5PXsuj0iXv2InITr9Vu8s1rtfD0iCgC80r37GXuPDfMvn37mhfK7Nu3TwkmTJig1JmdPHnSbDY3KYVxnnjmuuuuc33Q1hQUFOTk5ChxUlLSkiVLms9wozIajQ888IDrDn329GvTsWPH1Nj1XCnh4eFTp07tzLEC83krPPrU9cbjWV9ff+DAAddtGhsbhRB2u139KRuaU9bzkmWZRyl4NFnEjaEPHur6mwx68FD+FDpv8qvuYNPkOYDuhMu5W2JYPcbpkeQxBdCdyLLs1Q9FETjU/wq8MeiyLLfrnYJn5wmjUKa7Wbhw4fr16z/55BPnnXa7PScnR/0CKTY2dsKECenp6fHx8S66evvtt9V4xowZLlpOnTp1y5YtyvN48+bNU6dO7dgX3j7j4sffkiRNnjxZmQvBbDZfuHAhJiamY0eprq5W485PQ9Ii5x/EP/TQQy5eniRJyszMnD9/vhCivLz8zJkz/fv3b9LGeyM+Z86cNl86le/vhRA9evS4/vrrXZzI7NmzH3zwQde9eZDBYJg8ebLyg3iPFMp46aCdf1arT4Dw8PBbb73VRW/z5s1TnkuBoJMn7tmLyH28VrvDN6/VCg+OiPt8f6V79jLXarWpqal5eXlCiK+++qp5kZa6wtGNN95YXl6u1M2cOHHi8ssvd25WXFysxldffbXrg7YmKytLjRcuXOiiSsZNvnz6uaZWwun1+pCQEO8dyE1d/S+UNx7P8+fP/+EPf3DdRplc0GKxOP9/iBZZrVar1ervLOAHDoeDCyTYyPL/z96dx0VV9X8AP3dmGGZANhVEBEFFQlAJFwpxrzSXksxM7VHLSsm9KMsWd3+2PuWCCxrlghuWa6mlaShhgguCqKCmgOzKvg3M3N8f9+l0Y7kzzM7web+ep9e5w7nnnDvn3hHmfu/3sJj0Vqu8vNzUQwBjo3HPYHlo+CNYEgS36YtSpaJ/eRou/KheALoJmc9IOPz3XKVSmdvwLAPe1VaLZVlEVbY2hpj05n4dVFlZSQeje+9mfYcMtCAWi996661169YFBgY2VaewsHD37t1vvPHGihUrSktLm6pDE6IMHz6cv3hBQ1Kp9Pnnn+fKCoWCy7hgtgIDA4WzAvTo0YOWHz16pHVH/GfjJBI1QWmlpaUvCEpNTa23S1VVFX0Ef8iQIWpTHXh7e8vlcq5MEydQhptxFxeXTp06CY+tsLCwqKiIK7/wwgvCNzi9vLwMekuyIXo1FRUV0bQ3ZtWp7mf1w4cP6b3D0NBQ4Snw9va2t7cXHpJx6Hjg+r2ImgWf1WoZ7bOao68ZaS5jXumGuMwHDx7MFe7du1dv/NXV1TSxh5eX18CBA7lyQkJCvUauXr1Ky9olYCsrK6OZxgIDA11dXbVohM/Ip58wOpLq6mozubvQov+FMsP3EwAAAAAAAAAAAACMDIEylsnLy2v58uU7d+589913g4KCmrqjkJiYOG3atIYRGISQjIwMWqY3twQ8+eSTtHz79u3mD9l4+vfvL1zBwcGBlouLi7XuiP+YsiYx+EpBDSPj+De5Bw0apLZ9hmF69erFlW/evFnvp4abcU3Gxj8WgbvUzWpTj/inhNEeeWxWp7qf1fwp6Nevn3BrDMNovTyKful44Pq9iLSAz2oBRvus5tN9RprLmFe6IS5zekWQBmcUjZLx9/e3srKiNc+cOVOvEZp4JjAwULtMMPxDe+aZZ7RooR6TnH5N6d69Oy1/+umnNGTehFr0v1Bm+H4CAAAAAAAAAAAAgJFh6SVL5uDgMHjw4MGDB7MsW1ZWlp2dff369VOnTj148IDWUalUH3zwwdatWzt06MDfl1/Hzc1NbV/8p7fv37+vj+EbitoHzaVSKS3rkvid/0CzIe6iZWVl0bKGj+B7eHhwa4jcunWr3o8MN+OaLE/D793Z2Vlt/a5du6qtozmWZTMzM1NSUq5fv/7gwYPc3Nyamhp+BX7ywNLS0noXizl0qvtZnZ2dTcuaLCvDLSFhcjoeuH4vIq3hs7pRRvusbkiXGanHrK50Q1zmHTp0kEqlXF8XL17s2bMn/RHNHDNkyBB+zaKiopKSEhobwU88o0mwV6P4EWNeXl7aNcJnwtOvIS8vr06dOnGnX1JS0qRJkwYOHDhq1Khu3boJJ5HSmlmdt0Tfp67x308AAAAAAAAAAAAAMDcIlGkVGIaxt7e3t7f39fV98cUXc3NzN2/efPnyZVphzZo133zzDX+XnJwcWtZk8QVbW1ta5t9KNEPW1tbG6Ygf8MG/h9coe3v7I0eO1Hvx0KFDUVFRTe2SmZlJy/PnzxeJROTvJdnoKnHcf1UqFVegawaXlZWxLMswDG3BcDPu5OSktrW8vDxa1uQ2lR6XXkpISNiyZUt+fr6G9fVyQ1Tvnep+VvNPAE2moH379jr2qBc6Hrh+LyLd4bOaz2if1QK0mBE+c7vSDXGZMwwTEhLCJYk5c+bMjBkz6I9onpjevXvXq3njxg2a3OjOnTt0F35+mmbhB1Lw05NozRxOP4phmOXLl8+bN6+qqop75fz58+fPnyeEtGvXLigoqH///j169OBf3bowt/OW6PvUNcT76e7uvnfvXuE6a9asIYTIZDJHR0fNW25tKisrFQqFlZWVvs5nMH9VVVU0FE8kEpnJ4p5gBLW1tdz6d/hUbD3q6urKy8vppp2dnXapBKEl4h4ea9Omjdp1yaGFwuVskSRWuGD1Qyz6Z1UHkV6/SOQTidSvHVFbW3vs2LHjx4//8ssveXl59vb2fn5+I0aMmDBhAj/3anOxLJuRkXH8+HHuj+uCggKpVNqjR4/BgwcPHTp02LBhmn8t8OjRo/T09NTU1OTk5LS0tL/++is/P7+8vNzKysrDwyMoKCg4OPi5557r2LGj5sPjf3krEok0eaNAQ/T7c7yrrQeddA7DMPq9PwJmi069ISadYZhmfTNAl3PRy0jw605r5OrqumzZsu3bt//www/cK3fv3s3OzuZnI6itraVlTf6O5f9bWO+x41aL/37Sx+WbRfjvTHqDhxBSXV2tRft8hptxTVrj32bT5Pcqfd3CjIyMPHbsmF6aMvNO1TLVFJiWfi8ivcNntbnRZEYoM7zSDXSZDxgwgAt/KSkpKS4u5n6pLS0tffjwISFEIpHQ7y9ozfj4eBook5iYyBWkUqnW+br4h8Zf99BiuLi4fPfdd1FRUb/88gv/9YcPHx4/fvz48eOEkH79+r366qsaJsdqihmet8QAp67e30+pVOrt7S1ch/uIFolEuD8kgJtfvEutSr2LGlPfenDJyRiGwaS3HvWWkxaLxZj91gaTbsFwk8wiMQTTqifmcYHs37//zTffLC0tpa9UV1fn5+efPXv2ww8/fOqpp/bt29euXbtt27bNnj2bqxATEzNu3DjhZu/evTtt2rS4uDj+i5WVlfHx8fHx8Z999plYLF6zZs3bb7+t9p+AmJiYiRMnNvqj6urq1NTU1NTU77//ftasWYMHD967d2+zwmUAwBDwC0DrwTAMDZQxROPN+jOBVkagDOhk6tSpv/32W1FREbeZmprKv9XHv89EMygI4Cfht4w76Lrr1KkTLRcUFFRWVuo3pb9+v18w7Yzze1epVGqfRNFLWpezZ8/S24EikWjs2LHBwcFubm62trYSiYQfF5mdnR0WFqZ7j6bqVBP8lS80mQLLiLFoEV/S4bPa3AjPCMc8r3QDXea+vr60fOPGjeDgYMJbm2zAgAH0YGnNuLi4hQsXcq/TxDMhISFa/2rLP7Ta2lqZTKZdO+bMxsZm7ty5M2bMuHr1alxc3MWLF+tNUGJiYmJi4vjx46dPn67dO2me5y0xzKlrhPcTAAAAAAAAwORYln3nnXcEMiITQk6fPt21a9dr166pVCr6VF69INeGoqOj//Of/wjXUSqVixYt+v777+Pi4vSVSjA2NtbNze3YsWNjxozRS4MAANBqtYB7hGAgIpFo9OjR0dHR3OZff/3F/yn/qe6ysjK1+c+5tMmcRp+t51P7O5Ymt3vNn0wm69q1K80lk5qa2q9fPz22z5+jPXv26Jij3qAz3qzeq6qq1OYD4BIV6EKpVG7ZsoUr29vbr1+/XmCJKH2dkCbpVEP8KaisrFS7donuU2AO9HsRGQg+q82N8IwQM77SDXSZOzg4ODk5cZFDf/zxBxcoEx8fz/10wIABDWsqFIq8vDxXV9eSkhLaC7ejdvgnc2lpqZ2dndZNmTkbG5sBAwYMGDCAZdni4uK7d++eO3fu999/pyfSjz/+2Llz5+HDhze3ZbM9b4kh/4Uy3PsJAAAAAAAAYA4WL17Mj5J5/vnnly9f7uvra21trVAo7ty5s2bNml27dpWWlgYFBU2aNEnDZnft2jV16lS66evru3bt2v79+zs6OiqVyqysrG+//XbVqlXcT1NTU3v27Hnjxg1NvrGZNGnSxIkTAwICnJ2dbW1tGYapq6t7+PBhbGzsRx99dPv2ba7a2LFjr1y58vjjj2v6RgAAADSApeNaNXd3d1rmL0FS70fZ2dlqm8rLy6NlT0/PhhX4j/+qvb9SWFiotscWgZ+cMCYmRr+Nd+nShZYLCgp0bE3vM94s9bLvqK1/7949HXvMzs6mEQPz588XuB1I/n2wLa5TDfGnID8/X2197VYTMzf6vYgMB5/V5kZgRogZX+mGu8yHDRvGFeLi4rj1Ss+dO8e94ufn12jNa9euEV7iGfLvzDTNxV8f5/79+1q304IwDOPk5NS3b9+FCxfGxMTMmDGD/igyMpKfO0pDZnveEqP8C6X39xMAAAAAAADA5BISEj777DO6GR0dffjw4ccff1wmkzEMY21t7efnt3Pnzl9//ZUQkp+fv27dOk2avXv3Lj9KJiwsLDk5+emnn3ZwcOBW0PDy8lq5cuXt27ft7e25Og8ePJgwYYLAU3kODg47duwoLy/fs2fPCy+80LVrVzs7O5FIxDCMlZWVq6vrxIkTb926tXz5crrLiy++iD/YAQBAFwiUadXKy8tpud7jufx7TvS5cAEXL16k5W7dujWsQH8lIoSUlZUJt5aSkqK2R0ptzgMTCgkJoWu73LhxIy0tTY+Ne3l50fKlS5d0bE3vM94s/Bv2V69eVVs/NjZWxx6zsrJoWe3dWd3fXhN2qiH+6XT58mW19c+cOaP3MRj/WtbvRWQ4+Kw2NwIzQsz4SjfcZU7zpdXV1eXm5hYUFHCr2Dg5OdVLq0trcpE0Fy5c4DYb1mwW/qGdOnVK63ZaKIlEEhoaOmLECG6zsrLy0aNHzW3EbM9bYvR/ofTyfgIAAAAAAACYFsuyb7zxBt1cu3btlClTGq359NNPN+sp39dff52WJ0yYsGHDBpGokVuN3bp143+B8Msvv/z+++9NtTlixIipU6cKZ8sWiURLliyhD7fcvXv3559/1nzYAAAA9SBQplVLSEigZR8fH/6PnJ2d27dvz5V/+eWX6upqgXZqa2uPHDnClaVSadeuXRvWoa2Rxhaq4FMoFGfPnhUeOf8Xr7q6OuHKJiSVSmfOnEk3P//8c4VCoa/GHRwcevTowZX379+v4/ug9xlvbu807+LBgweFI8EzMzN1T/7B3cTl8FNoNFrz5MmTOnZnwk411L59e5o/4ODBg8KpRG7fvl1SUqKXfk17Lev3IjIcfFabG4EZIWZ8pRvuMvf29qbla9eu0QiqIUOGNFUzKSmppqaGJp5pWLNZ7OzsaGxHYmKikfOdmAn+Kldqo9waMtvzlpjoXygd308AAAAAAAAA00pISOAS+hJCOnbsOHfuXIHKEyZMCAwM1KTZq1ev8r8S3Lp1K8MwTVX29vb+5JNP6GZYWJgmXQj7+uuv+b3r3iAAALRaCJSxHJWVlYcOHaqtrdWwfnZ2Nj+1QMOnh19++WWuwLLs7t27BZo6ePAgvb8ybty4RsOHXVxc6C9M9E5to/bt26c2Y55MJqNlc14whRAycuRIel8wPz9/6dKleoyVmTZtGleoqqrS/ZdC/c54szAM89JLL3Hl0tJSgdBylmUjIyN17I78OxogIyNDoGZUVJS+bvCbpFPN0ROgsrLyxIkTTVVjWXbjxo366tTk17J+LyJN4LPa3Oh9Rsz5SjfQZS6TyWjOj9jY2PPnz3PloKAggZqHDx+mJ2T//v01765R/JS/X331VStMvcvPetKmTZvm7m7O5y0xxb9QOr6fAAAAAAAAAKa1c+dOWl69erXa7/DXrFmjSbO7du2i5fnz5zfMtVzPwoULafnWrVuarB0vzN7e/tlnn+XKR44c0fw7PQAAgHoQKGNRoqKiJk+e/MMPP1RWVgrXzM3NXbRoEd0MDg6mj+pSTz/9NH3x0KFDTT09HBsbS383sra2puEO9YjF4oEDB3Llmzdv/vnnn41W++233zTJ8ieRSGgWPv6T/WaIYZgVK1bQ1UyuX78eFhaWnp6udseamhq1y5r4+/vTd/X48eNRUVHCj1kTQgoLC3fu3FlRUdHwR/qd8eYaPXq0VCrlyl9//fWNGzca1mFZdseOHUlJSbp3x1/sacOGDY3e82NZdt++fcePH9e9OxN2qrkRI0bY2Nhw5S1btly5cqVhHe4e5O3bt/XVqcmvZf1eRBrCZ7W50e+MmPOVbrjLfOjQoVwhOTk5MTGRK/MzzVDDhg3jCtHR0fTFRms2S69evei6Tjdv3ly1apVAgqWKiopvv/1Wxx6NZv/+/cnJycIfTVVVVfT7L5lMxo960ZA5n7dEr6eucd5PAAAAAABoKWQdvPp8erpNl16mHgiAPrEsu337dro5evRotbsMGjRIk2b5jxrSVZAEtG3bln5rRAjRy7cK/KGa7bN5AABg/hAoY2kUCsX27dsnTZq0atWq8+fPP3jwgN4oYlm2srLy5s2b33zzzcyZM0tLS7nX7ezsFixY0LApsVjMT4sXERGxevXq+/fvc/dOlEplVlbWV1999eWXX9I6H3zwAT9/QD38p71Xr169Z8+e4uJilmUJITU1Nenp6cuWLfvmm2/EYrEmsRfDhw/nCjdv3jx69GhZWRnXlBlq06ZNRESEq6srt1lYWBgeHj537txTp05lZmZWVVXRkdfW1paUlCQnJ0dEREycODE+Pl5t4wsWLOjYsSNXPnTo0NSpU3/66afc3Fyat0alUlVUVNy/f//EiRMLFy6cMWNGTExMo4/a633Gm0UqlYaHh9PN999/PyoqKj8/nxuqQqFIS0v78MMPf/jhB0LIuHHjdOzOzs4uJCSEK2dmZs6ZMycpKYleLJWVlUlJSeHh4dx93AkTJujYnQk71ZxEIlm8eDHdXLp06aZNm3Jzc+kU3LhxIzw8nIvD0H0KKJNfy3q8iDSHz2pzo8cZMecr3XCXeZ8+feq94uXl1ehpRhP50jPB09NTLpc35zga9+6779K4pcTExNdee+3o0aOFhYVcSATLshUVFbdu3YqIiJg8efLhw4d179E47ty589FHH7388suRkZFJSUmPHj2iD0splcqioqKzZ8/OnDmzqKiIezEsLEwg6XFTzPm8JXo9dY3zfgIAAAAAAACY0KNHj+g6wvb29h06dFC7i42Njb+/v3CdoqIi+s0YIYQuai+M/xVibGysJrsIc3FxoWXdU9QAAECrJTH1AMBQLl68yF8boilOTk5ffvklfUi3Hm9v7+XLly9fvpy7D/Hnn382lV2AEPLOO+/07dtXoC9XV9fJkyfv2bOH29yzZw8t83366acKhUJtroLQ0NCjR49y5a1bt3KBzCKRiN7MiImJkUjM5Qx3cHDYsGHD5s2bT506xb2SkZGxbt06TfZ1cnKaOXOmn59foz+1trZeu3btypUrk5OTCSHl5eVbtmzRepz6nfHmCg4OnjZt2o4dO7jNQ4cOHTp0qGG1efPmeXp60nucWt++mjdvXlJSUnl5OSEkJyeHH2rAN2fOnICAgAMHDmjXizl0qrmAgIC33npr06ZN3Obx48cbjfGfN2+el5eXvm4zm/xa1u9F1Fz4rDarz2qipxkx5yvdQJe5h4dHvVdo5hi1NfnPFenCxsZmw4YNH3zwQWZmJiGkoqKCnnIWQKFQHDt27NixY8LVRo4c2dQ7r5Y5n7dE36euEd5PAAAAAAAAAFPJycmhZc2/ww8KCrp+/bpABX5Uiqurq1Qq1eSJuJ49e9LypUuXhCurVKr09PTff/89Li4uPT09LS2t4XN3/OWWkFEGAAC0howylsPGxiYqKmrGjBmdOnXSpL5cLn/zzTe3bdvm7OwsUC0wMPC7777z9fUVqNO5c+fIyEhNbnRNmjQpLCysqZ+2b98+IiLiscceU9sOIcTZ2fn999+vFyShUqmUf9OkEWOSSqXz58+PiIgIDg7WcBd/f//Vq1d///33ISEhAuEgMpls1apVH3/8sdoFQRmGGTFixPr16+3s7Jqqo98Zb64JEyYsXbq0qVwXYrH4ww8/fOaZZ/jJPLS+xW5jY7Np0yYfH5+mKshksmXLlo0cOVK79s2n02YZNWrUmjVr6HI59Ugkko8++uiZZ57RY4/mcC3r9yIShs9qYmaf1YaYETO/0g1xmYvF4npJZWjmGK1rasHOzm79+vUzZswQ/qchICBg48aN+urUTNjZ2b333nuzZ8/WOn7UzM9bYtx/oXR/PwEAAAAAAABMhXuIiNO9e3cN9+rWrZvmzapNP0PRZN6EkOvXrzcVW6NSqfbt2+fp6enr6ztr1qwdO3bEx8c/fPhQoVDU/ht/r5qaGg2HAQAAUI8ZPcMNumvfvn1oaGhoaGhZWVl6evqtW7fu3buXlZWVl5dXW1srk8k6duzo7u7u7e0dEBDQuXNnsVisSbNOTk6ff/55fn7++fPnU1NTb9y4UV5ebmNj89hjj/n5+Q0YMMDd3V3DETIMM3r06EGDBsXGxiYkJNy6dauysrJ9+/b+/v5Dhw4NCAjQcEickJCQvXv3XrhwISEh4d69e7m5udxSI+bMw8Nj8eLFVVVVaWlp165dS0tLy8nJefjwoUqlksvlbm5uXl5e7u7u3bt379atW1O5ChpiGCYoKGjHjh0ZGRkJCQlcqHVxcTEhxMXFxcPDo1u3br179/bx8bGyslLbmh5nXAt9+/bdvXv3hQsXLl68mJSUVFxc7Ojo2L1795CQkODgYC6GpqSkhNZv6oaZJhwcHL744ov09PSzZ8+mpKRwv+i7uLj4+fkFBwcHBgZq8na1iE6bxd/ff9euXQkJCRcuXLhy5QqdgoEDBz755JP6WmyLzxyuZf1eRMLwWW1un9WGmBEzv9INcZkPHDjw8uXLdLNh5pimanp6emrRXVNEIlFoaOhzzz2XlJR09erV1NTU+/fvKxSKtm3bduvWLSAg4IknnuBn6DV/ixYtKigoyMjIuHfv3l9//ZWTk1NQUFBVVaVSqRwcHDp37uzn5xcYGOjj4yMS6RoBb+bnLdHHqWvM9xMAAAAAoDWQiERWon/9mcwPNheLGKkEv1q3PBIRw5BmfPlDsSyL5w3+RSQh4r//lBZZMVKpQF1GIiHNf/OYxvah6y4RQtq2bathU46OjsIVuDS0HOGH+vjqfYGvUqkafrdWXV09YsSIc+fOadgmAACA7hhNEqMBAJiVH374Yfv27Vz58OHD+OsLAAAAzNmsWbMuXbo0e/bsGTNmmHos5qu8vLy6utra2lrrtG3Q4lRUVFRVVXFlkUik+Tf40NIpFIrS0lKGYdq1a2fqsYCR1NbW8p94cXR0NKsFWMGgCgsLCSEODg4mj7oGo7G1ta2srOTKH3/88cqVK007HjCa0tJShUIhl8t1ebIR9GL//v0vv/wyV/7ggw/WrFmjyV4bN26cM2cOVz548GBoaKhAs5MnT969ezfLsvybjI0+c5KTk+Pm5kY36+rq6gXKsCw7atSokydP0ldGjx79xhtv9OzZs0OHDnK5XCKR8G8BbNu27c033xQYJzV58uS9e/dy5Tt37nTt2rXJg4dmolOPB41aD02ud7BU3EIf5jDpFRUVQ4YMIYTs379f9091/FEKAC0PDS338vJClAwAAAAAAAAAAAAAAKdNmza0zOXM1oTamvynGvLz8zVstqKigr/Z8D7r8ePHaZSMra3tpUuXhNd8N4fF3AEAwAIgUAYAWpjCwsK7d+9y5Weeeca0gwEAANCv6urq9PT0lJSUW7du5eTkFBUVqVQqW1vbzp07d+nSpUuXLj169OiyoiHpAAAgAElEQVTQoYPx40Srq6snT57MlefNmzd8+HAjDwAAAAAAAAAANMFfgT09PV3Dve7cuSNcgb/QdmpqqobN5uTk0LKfn1/DLzQWL15My8ePHxeOkiGEZGVladg1AACAAATKAEBLwrLsxo0b6Wb//v1NOBgAMILJkydXV1c3+iOxWGxnZ9elS5euXbv279/f29u74QrHYBz1pmnEiBFvvfWW2r3y8vLCwsJoCxMnTjTU+FqInJyc6Ojo2NjYhj9SKBRFRUVJSUncpp2d3cSJE0eOHCmTyYw5QvrMFpdsEwAAAAAAzEHJqdjS0+foZsfnO4hJZZO1PboUO1sRQm5kt4+5LDXEeGqV/6zLkBCX+c3qM4boRYBIwojHIgW1CdTV1alUKrFYjO9ntNO7bae+zp310pSj8z8LXCZeulRZp9Bkr4sJCbRco6xruBe/2ZycnJKqinprKTKqRi69qynXaDmgT2C9Zmtqaq5d+18FO3v7Pk8GqR3t5atXhMdJKdl/vr6oUtZq+D6AJlhCCMuSJibd4jGEEYvYf71SpbSylZtqPACgHQTKAIC5YFk2Kipq4sSJ/BSOfEqlctu2bYmJidxmcHCwq6urEQcIACagVCqbyqeqVCofPnz48OHDxMTE/fv3y+XyWbNmDRs2DCuyGV+9aTp+/PhLL73Uvn174b1YlkXgBae2tnbbtm3Hjx/XsH5ZWdm3337L/aP50ksvSaUG+XYbAAAAAABaBEXGg7I//rm93XGIH1uV21Rltp2sWskSQvLKJLG36y+AohdK9p97h3k5ZVcSjJ37QWIllgwwcp8AetBOZttb1UkvTdk5OdrY2lZWVBBCSoqLc/Ly2jur+ZamuqoqJTmZbipZVa2q/jdybRwd2tjZlZeVcZvXU1P9e/X8Vw2WNPTjgR9pOTgkpF6zOXn/fF6FDBpYx6oabYSqq6v79eQvwuOkVLyPozqVUqAmaE9wviyVmBEx7L++zGTqcHYBtDwIlAEAM3L48OHDhw8/9dRTTz31lKenZ5s2bRiGUSqVpaWlV69ejY6OpkufisVimocAAIAQUlVV9c0335w+fXr58uX1HmcB49u6dSs/cS4IKCsrW7Ro0YMHD+grHTt2DA0N7dGjR/v27W1sbBiGYVm2urq6oKAgJSXl559/zszMJISwLLtv3z5ra+sJEyaYbvgAAAAAAAAAYF5EItGkVyZHRW7jNk//+uvLUyYL7/LnhQtqm2UYZtprr25ct57b3Ld7z4o1q4V3KS0pPfvbb3TzmWdH1KugUPyT5UWTvLmXEy/V1taqrQYAAKAWbiMBgNk5ffr06dOnBSpIJJLPP//cycnJaEMCAHNw8OBBfvJelmVramoyMjKio6OvXPlfztXk5OT169e//fbbJhoj/E98fPyDBw86ddLPg1AWrLKycu7cuUVFRdymk5PT+++/7+fnV68awzA2Njaenp6enp5jxozJzMzcvHlzMu9JLwAAAAAAAAAA6uUpU2igzMoly16a9LJIJJREasUnSzVpdtIrU2igzIZv1r7/0WLbNm0E6m/dvJmWu/v4dHRzq1fB3t6Bli8lJAr3zrLsuwsWajJOAAAAtQySXBEAwHACAwO3b9/u7e1t6oEAgLHVW1OJYRiZTObj47N8+fKZM2fS18+cOZOenm700UF9GzduNPUQzB3LssuWLaNRMj4+PpGRkQ2jZBry8PBYvXr1J598Ipcbb/FjmUx25G9PP/200foFAAAAAAAAgOYKevIJ3x49uHJWZub2b78TqHz82E9qg1Q4vR8PCB4YwpVVKlX4AqFn1bIyM1cuWUY3129u5Juitu3aWllZceXMjIy/7t4VaPD7bVHXriZpMk4AAAC1ECgDAOaCYZh9+/Z9+umn06dPDwkJ8fT0tLOzI4RIJBJXV9ehQ4eGhYVt3759+fLl3OsAANTYsWP79etHN3/88UeBymA4tra2w4cP58rJycm3b9827XjM3OnTp2/evMmV27dv/3//93/W1taa796/f//vvvuuc+fOhhkdAAAAAACAxSq692Db8Gm5126ZeiAAhsIwzNpNEXTz7bnzDv94sNGacbHnXnnpZc1bjoj8J0nM3l3RSz/8mGXZhtWyMjMHPxFMNwcNGfJkyIBGxzlrzmy6+Z+Jk6qrqxtWY1k2KnLb23PnaT5OAAAAYQiUAQAzIpfL/fz8Xnzxxffff3/9+vXR0dFHjhz58ccfIyMj33nnndGjR2O5JQBoytSpU2k5Li6u0T/RwdAYhnn11Vfp5oYNGzARTamtrd3Myz+8ePFiqVTa3EZsbGyCgoL0Oi4AAAAAAIBWgGVVdUpTDwLAsJ4IfnL2/H8iS6ZPfuW1V6bevHGjtraWEFJXV3c7PX3B7DljnhmpUqnatmv7+qw3NWm2a7du6zb9kxtm7Vf/HTZgYPz5uMqKCkKISqXKyc7+7+dfBDzm9+jhI65Ohw4ddh/Y11SD7yx6jyaVuZ6c8vhjfid++rm8rIx7pay0NC723LPDnnpn3nyuqbfmzW3W+wAAANAoiakHAAAAAKAH9fJqlJSUODo61qvDsmxGRsa1a9dSU1Pv3Lnz6NEjiUTi7u7evXv3vn379u7dW4tIBUJIbW3txYsX4+Libt26VVRU5OjoGBAQ8MQTT/Tv318sFmt/SDow0JFqwtHRMTQ09NChQ4SQu3fvpqSk9OrVS1+NK5XK69evX7lyJTU1NSMjo66url27dr169Xr88cf79+9vuIMyhPj4eIVCwZV9fX27d+9u2vEYCMuyKSkpsbGx165de/jwoVwuf+yxx/r37z9o0CAbG5tmNaWX2TfhpQEAAAAAAABgZKs+W1NTU/3tlq3c5sEDPxw88EPDanIbm9PnY8+ePkNfEYmEHrOfNuNVhiHzwv6XCebq5SujnnqmqcrdvL1/jT1rZ2/fVIW27druO/TD+DHPc5u5ubmTxk9otKazs/PZC3Gnf/lVYGwAAAAaQqAMAAAAWAKxWGxjY1NZWcltVlRU8ANlKioqfv311wMHDpSWlvL3UigUaWlpaWlpP/30E8Mws2fPHjFiBMMwTfWSl5cXFhbGlVesWNGrV6/k5ORVq1ZVVVXROoWFhadPnz59+rStre1HH33Us2dPgWGfO3fuv//9L1eOjo4WDh1ITk5esmQJV46MjHR2dm5YR19HqotJkyYdPnyYyyWzYcOGzZs3694Ry7InTpyIioqqqanhv56dnZ2dnX3y5EmxWDxz5sxnn3220b6qq6snT57MlefPnz9s2LBGezlz5sy6deu4MsMwMTExjYY6sSw7ZcoULhVwaGjo9OnTtTgiLpaIM2FC418A6ULvpxb/PZw3bx5dY4tqeHXk5uYuWbIkNzeX1lEoFBcvXrx48eLGjRvDw8MHDx6sybHoOPscc7g0AAAAAAAAAIxJJBJ9tW7tE8HBC+fM4zK+NNQvqP/uH2JcXFx+PfkLfdFapmZt6KmvvRo8MGTWa69fSkgU6P2DTz56+713acKYpgx/+ukzf5x/5aWXsx88aKrOCxNeXL95Yxs7O+GmAAAANIRAGQAAALB8ixYtyszMFK7DsmxERER8fPySJUuaem6GZVml8p/kzBcvXly1alVTDVZUVHz44YdhYWGjR48W6JTfoFq0clNLGunrSHVhY2Pzyiuv7Nq1ixCSk5OTkJCg4/JAlZWVS5YsSUtLE6ijVCo3bdqUkJDw0UcfNYxukclknTp1ysjIIIScO3euqUCZc+fO8acjKyvL09OzYbWCgoKKv79d6tu3b7OOhVNTU3P79m266e/vr0UjwvR+avHrqFQqtT3evn07PDy8qdZYlv3yyy8rKipGjRolPDDdZ59jDpcGAAAAAAAAgPFNnDwp9MXxPx899uvJX06f/CU/P9/O3s63R49hTz31/AuhPfz9uMdFHmRm0V1cXTuqbda7e/fT52Pv37t38viJP/+I/+N8XH5enrVM5vOYz8DBgwcOGTx0+DCZTKbhIAP79klOvxkfF3dg3/4Lf8Sn30oTiURunTr1Cuj91DPPPDtmVEc3N+0OHwAAoFEIlAEAAABLoFQqaToZQoitrW3DOp6ens8991yPHj3atWsnl8u5vYqKii5evLh9+3YuQcjly5ejo6OnTp2qtsdLly79+OOPhBB3d/dZs2b5+PjIZDKVSpWbm/vDDz+cOnWKq7Z58+aOHTsGBgbq5TA1pN8j1cK4ceP279/PLS0UERHRt29frVehqqmpWbBgQV5eHrfp7Ow8ffr03r1729vbMwxTU1OTlpa2devW+/fvE0ISExO/+uqrRYsWNWxn6NChO3bs4OoolcqG41EqlYmJ/3oK6sqVK40GyqSkpNCyt7e3Fgf1gPeAVLt27Ro9XVu0lJSUmJgYlmV9fX2nTZvWtWtXuVzOsmxhYWFMTMzJkye5aps2bQoODm64Shqlr9mnTH5pAAAAAAAAABifVCoNfXF86IvjBepcvXyFlju4umrYsqeX18y3wma+FabT+AghhIjF4oGDBw9Ul332P69O/8+rGiX3/Xbn9m93btd9YAAAYJHwoCQAAABYgnq5IhwcHPibffv23bhx4/r160eMGOHh4WFjY8MwDMMwEonE2dl5zJgxO3fu7NGjB1c5JiamqKhIbY9clMygQYPWr18fEBAgl8sZhhGLxZ06dZo/fz5dyIYQsmbNmtraWj0cpAYMcaRasLa2njFjBlcuKiqKjY3Vuql169bROInRo0dHRkYOHjzY0dFRJBIxDCOTyXr37r127doRI0Zwdc6fP5+cnNywnT59+tByo5lFsrKy6r1y9uzZRod0/vx5ruDp6an5o1F82dnZtNytWzctWjBze/bsqaurmzZt2meffdazZ0/uPBSJRC4uLnPmzHnzzTdpzR9+aGRxdEpfs0/M5tIAAAAAAAAAMEPV1dW/nznDlWUymVNbJ9OOBwAAwNAQKAMAAACWIDo6mpafeOIJLmcsNWPGDHd3d4Hdra2tly5dam39vwWYT5w4oUmn7u7u4eHhjeZK6dev38yZM7lydXX1zz//rEmDujPQkWph5MiRNFHKli1btAsVun379rlz57hyUFDQrFmzGn23RSLRnDlzvLy8uM1vvvmm4Yo//NwwV65cIQ3QF2nUxd27d7kUI3z8xDNDhw5txsHwFBQU0HLnzp21a8TMDR8+fMKECfWuRM7YsWOdnZ258smTJ5tankmPs0/M6dIAAAAAAAAAMDdHDh6i5f+8Og3rEQMAgMXD0ksAAADQ4p08efLPP/+kmy+++KIWjdjY2IwfP37Pnj2EkBMnTkyePFntLnPmzBH44mDUqFG7du3iFoTat2/f888/32jQgPFpcaRaEIvFYWFhX331FSGksrLyxIkTzz33XHMb2b17Ny0vWLBA4A1kGGbevHnh4eGEkIKCgqysLA8Pj3rjCQgISEpKIoScOXPmhRdeqNcCzR8zcuTIgoICLm7mzp07/v7+/Gr8bDT8LDXNUlJSQstOTpb5kNbrr7/e1I8Yhhk/fvyWLVsIIdXV1Y8ePWrXrl3DanqcfQ1pd2ncv3+fnyOnUW3btiWEVFVVPXr0SIuBtRJchJNCocC71Hrww9pUKhWmvvXgpp5lWUx6q1VaWmrqIYCxlZWVmXoIlqyqqoq/qVSqBO5v19XVESImhNTVKS31MVqWZQkxi7++AVqK4qLiBbPn0s0pWIwYQBBLGnlGS6VSGX8kJtTajheIYSZdpVI1689D7m6LvgaDQBkAAABoqRQKRVZW1p49e/hRMiEhIb6+vto1GBgYyN0jLyoqqq6uFl5VRyaT+fn5CVQQi8Xjx4/ftWsXIaS8vDw3N7djx47aDUzvmnWkWhs0aND333//8OFDQsh33333zDPPNKujqqoqmrtlyJAhdnZ2wvW9vb3lcjn3HXF8fHzDUInBgwdzgTL37t2rd9TV1dV3797lyl5eXgMHDuQCZRISEuoFyly9epWWtU4Gw8+vI5Go+YW8tLR0+nShtbdXr14tfCoaX2BgoPB80UWOCCGNBsroffY1pMWloVQq1d7o5cKhWJbFlwhqsSzbVJIhsHi4QFohTHqrhalvhTDpBtXg1yeNfptq9CYfAFiYEz8fZxjmqWeeFvjy4d5ffz03YlTV37cenwh+sk+/vsYaIAAAtHbN+ktBv39WIFAGAAAAWobx48fzU0oolcqGdXx8fN5++22tu3BwcKDlkpIS4XvkAwcOVJshpk+fPlygDCHk7t275hMo06wj1Rq3Js6KFSsIIXV1dQcPHmxW9pp79+7R8qBBg9TWZximV69eFy9eJITcvHmzYYVevXrR8u3bt3v27Ek3aZSMv7+/lZUVrXnmzJlXX32V3whNPBMYGNjoSkCasLKyouW6ujq19Rs92ykzjCro37+/cAX+GVhcXNywgt5nX0PGuTQAAAAAAAAAjKAwP3/urLfs7O3nzJ83YtSzXbp2tXewF4vFKpWqpLgk7dat7VHf7d6xk9aXyWQ79+814YABAACMBoEyAAAA0DIIBwtLJJI33njj2WefFVgLiWXZzMzMlJSU69evP3jwIDc3t6ampqkuSktLO3ToINBj9+7d1Y6Z30JWVpba+vqi3yPVRd++fTt16vTgwQNCyN69e59//nlbW1sN9+W/YxrmbvHw8OBCJW7dutXwpx06dJBKpQqFghBy8eJFfqBMQkICVxgyZAi/ZlFRUUlJCQ2e4CeeGThwoIYH0pC9vT0tNxom0tK5uroKV5BKpbTMzUg9ep99jvlcGgAAAAAAAADGUVZa+umq1Z+uWi1czdHJ8dS5311cXIwzKgAAANNCoAwAAAC0VLa2tl5eXt7e3kFBQb6+vvwsHQ0lJCRs2bIlPz9fw8YbvXnP5+zsrLYRuVxOyzk5ORp2rSO9H6kuGIaZO3fu4sWLCSEsy+7evfvNN9/UcN/MzExanj9/PhcCxWVPoYuzcP9VqVRcgWZeKSsrY1m2XsofhmFCQkLOnDlDCDlz5syMGTPoj2iemN69e9ereePGjSeffJL76Z07d+gu/Pw0zcU/eTIyMoQr29vbHzlypN6Lhw4dioqK0noAhmZtba1jC3qffWKwS8PR0XHatGnCdbhlpCQSCf8zAepRKBRKpVIsFvPjqMCy1dbW0qxaDMMgh1ProVQquc9YfCq2HiqVih+cam1tLRDdDhaGWxwTk25Qin//LcwwQm81/T3ZgmdEbfJXAGho7sIFHy752Ebjp5sAWrNG/5lpDf/68NNat4bjBYqbekNMukgkatY3A/rNrY5AGQAAAGgZDh48qPVKN5GRkceOHdPveDS5lcsfcL3EFQZiiCPVkb+/v4+PT1paGiHk6NGjEyZMcHJy0mRH7it1TnV1tV4GM2DAAC78paSkpLi42NHRkRBSWlr68OFDQohEIqHLY9Ga8fHxNFCGC3cghEilUl1yjbi5udEyTVHTLFpfCy2F3mffcJdG27Zt58+fL1xn1qxZhBCpVKp5RqVWiGVZpVIpkUjwLrUeFRUV/EAZTH3roVAoFAoFJr1Vqa2t5f8yLJfLJRJ8J9lacL/XyWQy4QcbQBeV/35vRSKhexhisZgQlhAittxAGQCgpkybOmT4sJRryZcSEq+npPx1925Bfn7RoyKGYdq2bdv78YBeAQFDhg8dMHCg7k+8ALQmDPeP6b9esvTAkXoBChZ/vMBnuEAZrb8Z0EvMN/4oBQAAgJZB69/Dzp49S2+Qi0SisWPHBgcHu7m52draSiQShmFoy9nZ2WFhYRo2q0m2Cf4yLkbIkWCgI9XdnDlzFixYwJWjoqLCw8M12csQt098fX1p+caNG8HBwYS3Us+AAQPoW0RrxsXFLVy4kHudJp4JCQnR5Q+DTp060XJBQUFlZaWNjY3WrVkk/c6+2V4aAAAAAAAAAIYjEok8Onf26Nx51Ngxph4LAACAeUGgDAAAAFgypVK5ZcsWrmxvb79+/XqBdCZ06RZNFBYWqq1TWVlJyzRVSVPUpg0UHp7hjlR3Xbp06dOnz+XLlwkhv//++yuvvOLq6qp2L37Klj179ujloXMHBwcnJ6eioiJCyB9//MEFysTHx3M/HTBgQMOaCoUiLy/P1dW1pKSESzxDCOF21JpMJuvatSvNJZOamtqvXz9dGhSm46llEnqcfXO+NAAAAAAAAAAAAADA+JBfEQAAACxZdnZ2RUUFV54/f77woj95eXmat3z79m21dQoKCmjZ3d29YQX+Ajpq79ALh+YY7kj1glt6hrN582ZNdunSpQst899JHQ0bNowrxMXFsSzLsuy5c+e4V/z8/Bqtee3aNcJLPEP+nZlGO+PGjaPlmJgYHVtrSI+nlknocfbN/NIAAAAAAAAAAAAAACNDoAwAAABYsqysLFpWG9xw6dIlzVs+d+6c2kQdXA4VDv/GP2Vvb0/LZWVlwq2lpKQI/NRwR6oXHTt2HDx4MFe+fPnyvXv31O7i5eVFy3ocMM3dUldXl5ubW1BQUFNTQwhxcnJydHRstCYXSXPhwgVus2FNLYSEhNDVhW7cuJGWlqZjg/Xo8dQyCT3OvplfGgAAAAAAAAAAAABgZAiUAQAAAEvGxUBw+Dk2Gq158uRJzVuuqqripxhpSKlU/vjjj1zZ1tbWzc2tYZ327dvT8l9//SXQmkKhOHv2rEAFwx2pvrz++uu0vHHjRrVpThwcHHr06MGV9+/fX1dXp5dheHt70/K1a9dojMiQIUOaqpmUlFRTU0MTzzSsqQWpVDpz5ky6+fnnnysUCt2bpfR4apmEHmff/C8NAAAAAAAAAAAAADAmBMoAAACAJeOHC2RkZAjUjIqKau7N+IiICJVK1dRPT506VV5ezpVfeuklhmEa1nFxcaGvHzlyRKCvffv2CfRFDHykeuHk5DRmzBiufPPmzV9//VXtLtOmTeMKVVVVW7du1cswZDIZzVYSGxt7/vx5rhwUFCRQ8/DhwzTeon///noZyciRI2ksTn5+/tKlS/UYK6PHU8tU9DX75n9pAAAAAAAAAAAAAIAxIVAGAAAALJmnpyctb9iwodG74CzL7tu37/jx481t/P79++vXr280yCApKSkiIoIrW1tbjx07ttEWxGLxwIEDufLNmzf//PPPRqv99ttvMTExwoMx6JHqy5QpU2iZptsR4O/vT9+f48ePR0VFqc1DU1hYuHPnzoqKCoE6Q4cO5QrJycmJiYlcmZ9phho2bBhXiI6Opi82WlMLDMOsWLGCrpF0/fr1sLCw9PR0tTvW1NSoXSxJj6eWqehr9lvEpQEAAAAAAAAAAAAARoNAGQAAALBkdnZ2ISEhXDkzM3POnDlJSUnV1dXcK5WVlUlJSeHh4VwYxIQJEzRv+bnnniOEnD59+p133rl+/TqXC0SlUuXn50dGRn7yySe05qJFi6RSaVPtTJ06lZZXr169Z8+e4uJilmUJITU1Nenp6cuWLfvmm2/EYvFLL71kkiPVIzs7u8mTJzdrlwULFnTs2JErHzp0aOrUqT/99FNubi5NvqJSqSoqKu7fv3/ixImFCxfOmDEjJiZGOEVKnz596r3i5eUlk8ka1gwMDOQK3IwQQjw9PeVyebMOQUCbNm0iIiJcXV25zcLCwvDw8Llz5546dSozM7Oqqor2W1tbW1JSkpycHBERMXHixPj4eLWN6+vUMiG9zH6LuDQAAAAAAMCYnLq4z4yNdu39mKkHAgAAAACmITH1AAAAAAAMa968eUlJSdwqSDk5OfwQFr45c+YEBAQcOHBAw2affPLJHj16fP7553fv3l28eHFT1V5//XXhlXpcXV0nT568Z88ebnPPnj20zPfpp58qFArh5B8GOlL9euGFF2JiYjRf4Mba2nrt2rUrV65MTk4mhJSXl2/ZskXHMXh4eNR7hWaOUVuTZqPRFwcHhw0bNmzevPnUqVPcKxkZGevWrdNkXycnp5kzZ/r5+TX6Uz2eWqair9lvEZcGAAAAAAAAAAAAABgHMsoAAACAhbOxsdm0aZOPj09TFWQy2bJly0aOHNnclgcOHLhs2bKmssXI5fKVK1eOGzdObTuTJk0KCwtr6qft27ePiIh47DH1D7oZ7kj1SCaTvfbaa83dZdWqVR9//LGDg4NwTYZhRowYsX79ejs7O4FqYrG4XlIZmjlG65q6kEql8+fPj4iICA4O1nAXf3//1atXf//99yEhIQzDNFVNX6eWCell9lvEpQEAAAAAAAAAAAAAxoGMMgAAAGD5HBwcvvjii/T09LNnz6akpGRmZhJCXFxc/Pz8goODAwMDraystGu5T58+0dHRf/75Z1xc3M2bN4uLi+3t7QMDA5944oknn3xSLBZr0gjDMKNHjx40aFBsbGxCQsKtW7cqKyvbt2/v7+8/dOjQgIAADdsx6JHq0bPPPrtr166qqirNd2EYJigoaMeOHRkZGQkJCenp6WlpacXFxYQQFxcXDw+Pbt269e7d28fHR8MDHDhw4OXLl+lmw8wxTdX09PTUfNjN4uHhsXjx4qqqqrS0tGvXrqWlpeXk5Dx8+FClUsnlcjc3Ny8vL3d39+7du3fr1s3GxkaTNvV4apmQXma/RVwaAAAAAAAAAAAAAGAEDMuyph4DAAAAQMuQm5s7c+ZMrrx69epevXqZdjwA0CLMmjXr0qVLs2fPnjFjhqnHYr7Ky8urq6utra2FM0KBJamoqKBBkyKRqG3btqYdDxiNQqEoLS1lGKZdu3amHgsYSW1tbUlJCd10dHSUSPDwXmtRWFhICHFwcEBcsuHU/JVRcz+Tbtp6yURWqqYqM3b21bZWhJDCMunN3MbTo+rouT5e1X//Ez/j1fmz3njHEL0IYBgi8mky7yYYTlVVVV1dnVQqtba2NvVYWiQXuZ2r3N7Uo2ieencYBVLeguXhZr91TjpDSP3jrmXFUgv//ZZlWf4lLxJh1ZpWRKVSEfOY9IqKiiFDhhBC9u/f37VrVx1bs/CLFnBaY+oAACAASURBVAAAAAAAAAAAAADAUll36WzdpbPm9WWEEELcHYm7o0HGI+LdPHRztw8KMVRWTjA3paWlCoVCLpfb2tqaeixgJLhx3mqxLMsSlmDSKYOEngKAYeHzCwAAAAAAAAAAAAAAAAAAAABaBWSUAQAAAACwcCzL5ubmXrlyJSUl5d69e4WFhXV1dU5OTu7u7n5+fn369OnatatYLDb1MAEAAAAAWru6woeVKTcN136aS+dikWGXxVHx0ktkZ5VejLtv0O7AfGDpJR116Gjn5u5g6lE0Dz+fDEMIw7BCtVsihhB8WUIIabjYEEu4jDL1lt8yiUYWQtJ8X2WTixXqSiTRflgAYBQIlAEAAAAAsFgsy165ciUyMjI7O7vejwoKCgoKCq5cuRIdHS2Xy//zn/+MGjVKIsEfCAAAAAAAJlN1Iz1r6ReGa/+7/7xz4VGd4donhCiU/9w0vXwhK6Io1qDdAViMZ8b4jp3Q09SjgH8RiRhWbvpAEHMgEYnETGMxJWbw9liJRIRVarcvU1ur38H8Q9qGMAizAjBrWHoJAAAAAMAyVVRUfPjhh8uWLWsYJVNPVVXV1q1bX3/99fv38bgnAAAAAAAAAAAAAFgyPDAKAAAAAGCBCgsLFyxYUFZWRl8JCQkZO3Zs586d27RpQwhRKBS5ubkXLlzYu3evUqkkhBQVFc2bN2/JkiX9+vUz2jhLS0unT5/Old97770BAwYYrWsAAAAAAAAAAAAAaIUQKAMAAAAAYGlKS0vnzp1bWVnJbXbo0GHlypWurq78OtbW1p6enp6enqGhoevWrTt37hz3+ooVK9asWePv72+00XJhOsQ8VrYGAAAAAAAAaKGkUrFYYoFLSSgUSmVdY+v+AAAAaAuBMgAAAAAAFoVl2WXLltEoGV9f31WrVkml0qbqW1tbv/vuu25ubvv27eNeWbp06XfffWdnZ2eM4QIAAAAAABhRSdmDo2c/HjFgsUs7H1OPBUDPJFZiqVRs6lHon7JOpTT1GAAAwMIgUAYAAABAU66urkeOHDH1KADU+PXXX2/fvs2V7e3tV6xYIRAlw2EYZsqUKRkZGfHx8YQQhULx9ddfL1myxOBjBQAAAAAAMC6WEJVKSQjyWQIAAAC0XgiUAQAAAACwHLW1tZGRkXTzvffek8lkmuzIMMyCBQsuXLjArX+UmJh4//59T09PQw0UAAAAAAAAAAzjl6M37919aOpR6GrgsG5+vV3V1wMAAGg+BMoAAAAAAFiOCxcuKBQKruzm5ta7d2/N97WxsXnxxRcPHDjAbe7fv/+9994TqM+ybEZGxrVr11JTU+/cufPo0SOJROLu7t69e/e+ffv27t1bbSYbXRiud6VSmZycHBcXl5qamp+fX1dX5+fnt3r1av2OHwAAAAAAAMBAbqTkXv4z09Sj0JX3Y84IlAEAAANBoAwAAAAAgOU4fPgwLb/yyisMwzRr9zFjxtBAmXPnzi1YsKDRcJOKiopff/31wIEDpaWl/NcVCkVaWlpaWtpPP/3EMMzs2bNHjBjR1Bhmz56dk5PDJbDhfP755yKRqGHNmJgYieSfv1z00jsnLy8vLCyMK69YsaJXr15paWkrVqyo13Jtba1AIwAAAAAAAAAAAADQgiBQBgAAAADAQtTU1KSlpdHNZqWT4bRr187JyamoqIjbvHfvno+PT8NqixYtysxU82gay7IRERHx8fFLlixpNPxFqVQqlcp6u9R7pVF66b3RHhMTE1esWKF2AAAAAAAAAAAAAADQciFQBgAAAADAQmRnZ9Oyg4ODg4ODFo0MGTLk0KFDXDk1NbXRQBmOp6fnc88916NHj3bt2snlckKIUqksKiq6ePHi9u3bq6urCSGXL1+Ojo6eOnWqFiMRpvfeL126dPDgQUKIt7f3q6++6u3tLZfLWZbNz8+Pi4vT+/gBAAAAAAAAAAAAwCQQKAMAAAAAYCHy8/NpuXv37to14uXlRcsZGRmN1unbt+/ixYvd3d3rvS6RSJydnceMGfP0008vWbLkxo0bhJCYmJixY8c6OTnVq7xlyxZCSHFx8bRp07hX3nvvvUGDBqkdoV56b+jHH38khISGhr722mt0wSaGYVxdXV988UW1uwMAAAAAAAAAAABAi4BAGQAAAAAAC5GTk0PLnTt31q4RFxcXWr53716jdWbMmCHciLW19dKlS6dPn15TU0MIOXHixOTJkxutyV8XSWCNJAP1Xk9AQAA/SkYTjx492rVrl3CdqqoqQohCoaioqNC85damtraWEFJXV4d3qfXgJp3DsiymvvXg1rzDpLcqKpWKv1lVVaXhP/pgMaqrqxUKhalH0TJwmRENR/nv6xEAAEAjLCHN+LLEyFhTD6ARLMsS1hwHpi+sRR8dNMoQk86yLPfFqYYqKyu5gkofv9MiUAYAAAAAwEKUlJTQcrt27bRrxN7enpaLioq0HoyNjc348eP37NlDmhOqoi/a9R4WFtasKBlCSHFx8Y4dO4TrdOvWjRBSV1fXrD/8WielUol3qXVq7jcjYBkw6a0WF8kKrQomXXOGjijSy00FAAAA88GypJnf5RgDSxAoA5bGEJOuUqma9c2Afr9GwNMbAAAAAAAWgp+eQSLRMiZeLBbTso5/ewQGBnKFoqIiQz8aq3vvLi4unTp1MvCgAAAAAAAAAAAAAMDEECgDAAAAAGAhrKysaLmurk67RrgVMThaR9twHBwcaJmf7cY4mtv7oEGDDDkcAAAAAAAAAAAAADALWHoJAAAAAMBC2NnZ0fKjR4+0a6SsrIyWXVxcBGqyLJuZmZmSknL9+vUHDx7k5ubWS6rPz+teWlraoUMH7YZknN49PDy0GIZYLG7btq1wHW45J4ZhRCI8qNAklmVZlmUYprmrX0HLxU063cQF0nrQqcektyr8f5cx9a0KN/WYdM0Z+r3Cr1oAAGBhzPNfNoYQLE0EoIlm/far31+VESgDAAAAAGAhOnbsSMuZmZnaNZKXl0fLAksRJSQkbNmyJT8/X8NmFQqFduMxWu9OTk5ajMTT0/OXX34RrjNr1ixCiFwuVxtS05qVl5dXV1dLpVJ+vBdYtoqKCrq+m0gkwgXSeigUitLSUoZhMOmtR21tLT+7m729vY5Z66AFKSwsJITY2dnxcx+CgLI2bYoM2b5ELCFEy9yTAADQeplnNArHLINAGUbEWFagMJ51ac0MF/ve3K+DrK2t6Y66944/SgEAAAAALAQ/aUp6erp2jWRkZNCyp6dno3UiIyOPHTumXfu6M1DvuGMHAAAAAAAAAAAA0Brgu2AAAAAAAAvh5uZGy0VFRSUlJQ4ODs1t5Pfff6flXr16Naxw9uxZGqciEonGjh0bHBzs5uZma2srkUj4S+dkZ2eHhYU1dwDCTNs7AAAAAAAAAAAAALR0CJQBAAAAALAQMpmsa9eud+/e5TZTUlJCQkKa1UJRUdHDhw/pZsOMMkqlcsuWLVzZ3t5+/fr1AisWKZXKZvWulml7BwAAAAAAAAAAAAALgPXDAAAAAAAsx7hx42g5Ojqav3iwJn7++WdaDgkJkclk9SpkZ2dXVFRw5fnz5wvEqRBC8vLymtW7WqbtHQAAAAAAAAAAAAAsAAJlAAAAAAAsR0hIiFgs5spZWVkpKSma71tVVbV//366+cILLzSsk5WVRcu+vr7CDV66dEnz3gkhasN6DNo7AAAAAAAAAAAAALQGCJQBAAAAALAcUqn0jTfeoJtffvmlQqHQcN+IiAgaquLr6+vj49OwTk1NDS3TiJxG1dTUnDx5Um2nItE/f5LU1dUJV9Z77wAAAAAAAAAAAADQ2iBQBgAAAADAoowaNapz585cuaioaPny5bW1tWr3iomJiY2N5coikWjRokWNVmvfvj0tZ2RkCDQYFRWlNvCFEMJf3amgoEC4st57BwAAAAAAAAAAAIDWBoEyAAAAAAAWRSQSrVy50tramttMTk6eP39+YWFhU/Vra2vXrl27c+dO+sqSJUv4ISl8np6etLxhw4ZGg1FYlt23b9/x48c1Ga1EIrG1teXKCQkJwpX13jsAAAAAALQ2jnadpo3b4dLuMVMPBADAgCLWrnNu4+DcxuGbL78y9VgADOW///2vVCqVSqWfffaZqccCLQ8CZQAAAAAALI2Tk9P69ettbGy4zQcPHsyYMePrr79OS0urrKzkXqytrX3w4MHBgwcnT558+vRpuu97773Xp0+fplq2s7MLCQnhypmZmXPmzElKSqquruZeqaysTEpKCg8Pj46OJoRMmDBBk9EOHz6cK9y8efPo0aNlZWV0BSgj9A4AAAAAAAAAlk2hULh0cGju/9o723OxJtz/NF/b2hyoVKra2tra2lqVSmXqsRhPSUnpt9u+Hzt2fCe3rnKZUye3roMGPhUe/sHRIz8VFDT5CBmYlWXLlnGxL+vXr1dbuXWe56AvElMPAAAAAAAA9M/V1XXr1q3Lly9PS0vjXjlz5syZM2cEdrG3t1+yZImPj49wy/PmzUtKSiovLyeE5OTkfPLJJ41WmzNnTkBAwIEDB9QONTQ09OjRo1x569atW7duJYSIRCKGYbgXY2JiJBKJgXoHAAAAAAAAAIunybLU0KJt2/rd7NkLlEolfSU3Ny83N++PPy588/V6Qsj9jDR3906mGyBoRKlUclcrYl/A0JBRBgAAAADAMtnZ2X3xxRcff/yxi4uLcE2GYV5++eXvvvtObZQMIcTGxmbTpk0CNWUy2bJly0aOHKnhOJ2dnd9//30aFsNRqVTKvxm0dwAAAAAAAAAAaNEiNmyeNWtuvS+RAAAEIKMMAAAAAIDFYhgmKCiof//+2dnZV65cSU5OvnfvXn5+fr0vDhiGGTZsmJWVlYbNOjg4fPHFF+np6WfPnk1JScnMzCSEuLi4+Pn5BQcHBwYGat4UJyQkZO/evRcuXEhISLh3715ubm5dXZ3RegcAAAAAMBOStk52A/oZrn0/FxsrJ6nh2ieEJDMMfQDcpaPd4/3cDdodmI+6ujqVSiUWi8VisanH0iJ16uxoZaXrWycSMeortUBisUjHP/StrOTlZTVN/XTKlIlHjh4mhDz/3Ljdu/fT1xmGEGud+jWhd8LD3wkP11drIoYR8R9wYv/3f8KYxSlXUFA0f/7/DtbFxXnbti2DBg+0s7NTqVSVlZWZmVmJCZdiDvzAMBJC/n2ViRpf+1sPzOOdsXjvvvvuu+++a+pRQEuFQBkAAAAAAAvHMEynTp06deo0duxY/uuRkZHHjh0jhKhUqvDw8M2bNzs4OGjepo+Pj3AGGldX1yNHjmjYoFwuHzZs2LBhw4zZe7NGCAAAAABgaHL/xzzWfGy49ucYrum/bZ3O0NVNgkI83v5Yo9/wwQKUlpYqFAq5XG5ra2vqsYClsZZJDBqvIvk7REliJbZtY9hoQsvAsizLsoQQkcgsli45cvhnriCTyW7cuNm2bVtuUywiDvY2Dv7te/o//uqrrzeyp7TFRkIBgM7M4vMLAAAAAACM78033wwKCuLKFRUV7777bnV1tWmHBAAAAAAAAAAAoLnExESu8NZbb9EoGQAAYQiUAQAAAABopRiGWbx4sbe3N7eZl5f38ccft5TlnKurq1/422+//Wa2bQIAAAAAAACABWBZNiEhYdGiRU888YS9vX2bNm369ev3zjvvXLhwQaVSCe/r4eEhlUqlUunt27cFqi1atIirtn379oY/nTlzJvfTffv2ca8UFxdv2LBhyJAhTk5OUql04sSJtPJ///tfrvJnn33WVHdpaWmffvrp008/7ebmZm1tbW9v7+PjM2bMmGXLlv3+++8VFRVNjcHa2nr//v+tUfXo0aMvvviif//+bdq06dChw5QpU/7888+GO6ampr799tu+vr5yubxbt27z589PT08XeCuaxdr6f4lh7O3t9dWmsGbNBVVUVLRt27YpU6Z4enrK5fIOHTqMGzduw4YNBQUFmnddUlKya9eu1157zdfX19bWtm3btmPGjNm4ceOjR48MOtTQ0NCIiAjNh5qWlvbVV1+NHTu2Q4cOcrncy8vr5ZdfjoqKKi4ubrQ+y7LcOFetWsW9snDhQmkDDx484O+lyXlOdLh4G7575eXlGzduDAkJadOmTdu2bUeNGvXtt99WVlZq+LaAWcHSSwAAAAAArZdYLP6///t/9u4zIIqrCwPw3coC0hQQBUFRAVHAEjXW2IJib4nlEwsxakTFiFgwEmyx9y7RxIqKaBTFEgsWLBRjwYaV3pXu9vl+jE42CywLLCzI+/w6O3PnzpkZFtjZM/f+5unpSX/QjY2N/e677+jhcwkhwcHBag6i++HDBw8PDzpu06aNn59fJSWsiKnpKfWGlHb7BAAAAACobnLDwpNWbFbdxn5OIyLJV79PuYFJZsdmhPVv5X3oqWcpL46UM0WogSiKYrFY2s6ipurtZtd/aMsKdqKnz+fxORrJp1rJE0lF0kr8kC7+3LlYKs8sEBfb5vWrl6OGDYp7+1ZxYXR0dHR09MaNG60aNTp6KsTeoUWJu5BIJBIJIeR9obikXRBC8oViullOoahoswLRp05yPoozC8SnT56YMtFd8fZF/kchs1We8FPjPKGkaFd5ebmTxo66fu0/zwiJxeK8vLyXL1+GhoYuWbLEvH79J6/jS8ohVyh5/1F67sxpj3GjmRwKCgoCAwMDAwPHuE/YHbBbzpITQmQy2ayfPA/vP8B08ubNm61bt27dunXVmpVec7yKngcBKeZyU2I5kUiKLieE9OjYfutWQgj5fU/A3B89OZxP7wKdeoZsXqV8FS6TyejzQB/78ePHx4wZo3gtxOL/nHORSOTj47OVzvIzoVB45syZM2fOzJw5c9GiRf7+/lyuqmxFItGCBQs2bdqkuLCwsDA0NDQ0NNTT09PX19fPz48pG6qMVGfNmuXr6/vrr7/y+cVPUkZR1KVLl3x8fB4/fqy4PC4uLi4u7vjx4z/88MPatWvnzJlT9JajpMj1LbqEuWlJk8vlikdXrNjYWDc3tzdv3iguZN681tbW58+fd3R0LHZbpbN3/fr1fv36MQNyFxQUXLhw4cKFC3Pnzr1+/bqzs3NJOUD1hEIZAAAAAIBaTSAQrF+/ftq0afTTD1KptHz9oMQEAAAAAKDGkMkpcYnf1H4ilxJZ8V9JltCnlCL/GZ9SLqMk4poxYiWA1smk//36t1wq3kM1RVXhsRW3o2tXLn8/dICKjRITErp+1frQ8ZN93VQ1+9S/msdStBn1b3DmZPDk8f9TXi+nFNuU1JVEIun7TdeXsS8qmEPYlSsTxxYzGAkhJPDg/iaNref9spCiqHHfjz5/9lyxzRbMW2jVyGrEdyNKz0Sl/q59DA0McvPyklKS5//6y9plv1WwwzIJCgoaNWqU0kLFeo6srKy2bdvGxytXHSlasWJFWFjYtWvXeDxesQ1SU1Pbtm2bkpKiopPffvvNxsZmypQplZrqb7/9dv369ZJSvXv3br9+/VRsTgjx8fG5f//+4cOHq6C28tKlS3379lXRID4+vmXLlmfOnBk0aJDqrm7fvt2jR49iV2VnZ7dt2zYuLs7S0rLcqULVw9RLAAAAAAC1nbGx8dGjR+lHQwQCgbbT0Zjc3FxmKqXbt29rOx0AAAAAAAAAqGGSEhMVq2R+Xb7yyav4tJyPaTkfn7yK91++ilk17vvhce/eFteHht0JvzVlkjshxNdvycPnb1KzCzPyRBl5ooPHgtXZ/GTQMaZKZp7v4rv/xMSnfUjPFabnCpPf579MSA27Hbly7cZWzi4qOomMuDt6+CAej7du87YX75LScj6mZhfee/CkS7fudIPfli1LTU3duzvg/NlzjaytT4ScTsxM+yAseJ+fc+X65foW9elmP02ZXnTUkLLS0dE5tn8fHe/Yu2fZ2lWq22vQjRs3xowZQwhZvnx5QkKCVCqlKIqiqNOnT9MNxGJxhw4d6NITNpv966+/vnz5UigU0kOhvHnzxtvbm24ZHh4+d+7cYvciFAoVq2R69+59/fr1nJwcuVwuk8nev39/9epVV1fXSk319evXc+bMKTVVmoWFxZYtW549e5aXlyeXy+VyeW5u7s2bN7t160Y3CAwMPH/+vOImLBaLzsfX15desn79eqoIKysr1YepKCEhQbFKZs2aNSkpKTKZTCaTpaSkrF27llk1ePBgpSFnlERERPTs2ZMQsnLlysTERKlUKpfLMzIyli5dSjeQyWQzZ85UPzeoDjCiDAAAAAAAfLGYcW4oDTybBwAAAAAAAAC1y88zptIBn8+/djvSzt6BWWVev76n18/f9nPr2bk9PX/NT5Mnnfv7WmWPk/Hn3j0cDufGvfstHMszXdfJE8foYPOO3WPdJyqu4vF4xsYmxsYmLZ2cJ0+brqKT33ftMDAwDI962KBhQ2ahbdNmwSEXenT66vmzp4SQnz1nXgw9/3XnTqcvhDLzAfF1dDp36RwRfa9JI1u5XJ6Xl3c97Hqfb/uU40AUpaalM/GqjeuEIuHyRb9WsE917Nq1i8PhPH78uFWrVsU2WL16NV2BYWpq+uDBA8URR7hcbpMmTdatWzd8+PAuXboQQrZs2fLzzz83btxYqRNfX1+mSmb//v3jx49nVrFYLBMTk549e/bs2fPRo0cJCQmVl+ratWuHDRtGF7uUlKquru7JkycHDx7MTIBFMzAw6Nq16/Xr1xcvXrxixQpCyOTJk5OSkoq+WZgpmZR6KIfJkyfTAZ/Pf/DgQYsW/06OZmFhMXfu3AEDBrRu3Zp+87q7u9+6daukN++mTZv09PSePHnSrFkzZqGpqenixYstLS1/+OEHQsipU6fev39ft27dCqYNVQYjygAAAAAAQM0jEAjOfNanT0Xvp1RenwAAAAAAAABQQyXEx1+7cpmOdwT8oVglw7Czd9gR8AcdR9678+b1qypIbN3mbeWrkiGExL97Rwc9en1bkRz2HgxUrJKhcTgcZpQdesalIyeCmCoZhnl98x+nfipiCD0bWpE0KIqa7+c/6SdPxYWbdmzzWexbNQ9N7dq1q6TSk/z8fD8/Pzq+evVqSfPydO7c2d/fn4737t2rtDY7O3vjxo10vGTJEsUqGSXOzs4DBqia/Esjqf76668lpUoIad269bBhw0qqcWGxWEuXLm3SpAkhJCUl5e3bShyBKS4u7tKlS3R88OBBxSoZRosWLQ4ePEjHt2/ffvnypYoOAwMDFatkGBMnTjQ1NaXje/fuVShpqFoolAEAAAAAAAAAAAAAgC9fTl7SoZBJ6Vmx2k4EAGqGi6Fn6cDY2GTQ0OElNRs0dHjduvXoOOT0qcrOis1mfz9mXLk3b9qsOR3cCLta7k7q1jPt0at3savadejAxOM9JtatV/wAG4OHDqaDe3cjyp0GIWSh/9K1m7cSQurWrfss4p9ZUz8NhLNzX8C06T+VVCuze/duPp/P5/N/+eWXiuydzWarqFy5ePEiHXTv3t3JyUlFP1OmTKGDXbt2Ka06c+YMHfD5/AULFmg91R9//LGkVNVMw8vLi47Dw8PL0YOamPNmYmIycuTIkpqNHDmyXr1Pb97g4BInLzM2Nh40aFCxq9hs9rhxn96PMTEx5UwXtAGFMgAAAAAAAAAAAAAA8OWjCJHLZYRgYlYAUMutG2F0MHqcOzMjTFFsNnus+wQ6vlmB6hM19XUbwOfzy735mM+pzpw2+ddF85/GPGbmrVbfiO9HlTRJjaGhERMPGjq0pB4aNWpEB8+fPS/r3hl/Xwtbs2kLIYTH493++6q1VaOVvy5d8PNceu3ve/dOmDBBLpcX3fD+/fsSiUQikXz11Vfl3jshZNCgQSquRWjop8Fy/ve//6nup379+nSQmZkpEokUVzElLB4eHhW57lWQqprs7e3p4Pnz8l/6Ul27do0OJk6cqPrN6+HhQcdXrlwpqdm4ceNUTKnm7OxMB69eVcWAUqApXG0nAAAAAAAAtQ5FUfHx8Y8ePXr69Onr16/fv3/P5XKtrKyaN2/erl07Z2fninzyBwAAAAAAAACouH/uR9FBu686qG7Z9qv2dHA/KqpycyKkbftSklHNbcCgnr370FNK7diyaceWTYSQrzt37f2ta5fu37i4tOEXmSmpKIcWjiWtYrPZbDabLk9pZN2opGb6+vp0UFhYWNZDoMlkMvcfp9LxgT07G1vbyCQyQshinwX6enqLVywlhBw8eFAkEh05ckRpMiCm+qRTp07l2zutY8eOKtbevXuXDry8vHx8fAghFEXRZ4YJ5HI5E9Nyc3PNzMyYl3fu3KGDbt26VfNUGTKZ7O7du3///fedO3devHiRlpamWIzFxG/evKnIEakWGRlJB6oPnBDS4fMYSBERJQ5upHqUHWZMmry8vDKkCNqGQhkAAAAAAKg6BQUFf//994kTJ3JzcxWXi8Xi2NjY2NjYc+fOsVis6dOnu7q6qnhWQygUjhkzho5nzpzZq1cvxbXTp09PSUlRHF93zZo1xT4+EhQUxOVy1ekTAAAAAAAAAGqV5KQkOqhvYaG6pUWDBnSQn58nl8tVjGBRcQ0aNKzI5mw2++jJkGNHDvovWvj+fRa98O7tW3dv36Ljse4T5y/ya2hpqaITff06KtZyOBy6nEJXV1dFGmVO/b8i7/+TnpFJCOHz+SOHDFYcFmeO5yx9Pf05i+YTQo4fPy4SiYKDg5lamYyMjLi4OEKIra0tMz5K+ViqPEvMiClCoVAoFKrZp1QqVXz59u1bOrCysip7gv+qglRpp06d8vDwyM7OLnXzgoICNXdUDomJiXTQ4PN7syQNG356Q+XllfjmrVNH1Q88s0lJU31B9YSplwAAAAAAoOrMmzdv3759SlUySiiK2r59+5IlS4odHZch+6xos6LLKYqSFUf9PgEAAAAAAAAAKo+a37LzeLwK7ojNZo8ZN+HZ28RbkQ9WrtvUp28/xQFXjhz808XBEF42PgAAIABJREFU9sjBP1X0oOLRpioTdutTZc/QAf2VBowhhEyd9MMfe/fS8enTpwcOHMhUdRw4cIAOli9fXsEcVF+LanVzqWpS3bZt2/Dhw9WpkqlZqsMPPGgcCmUAAAAAAKCq2djYzJgxY/v27UePHj19+vTp06dPnjy5d+/eqVOnCgQCus39+/cPHz6s3TwBAAAAAAAAoNZq8HmoifS0NNUt01JT6UBPT1/FWCmqS2Fyc1Q9VqRxbDbb3qHF5Kk/BZ44nfw+P+Lh00X+y4yNTei1XtOnPo15XJX5lNW7d/F00MTGptgG493Hnzhxgo4vXLjg6uoqkUgKCgp8fX0JIebm5iNHjqzUDJmxTK5cuUKpTWkEFJvPR5f0eXwjraQql8sVHzwrNtXk5OSZM2fScfPmzQ8fPvzq1avs7GyJREJP20Q7f/585R0IgxlBJ/Xze7MkKSkpdKCvr+rNC18eXGwAAAAAAKg67dq127Fjx9atW11dXRs1aqSnp8disVgsFpfLNTMzGzBgwMGDB1u0aEE3DgoK+vDhQzn2snv37jNnzjBPCBFCfHx8zhSHmXcJAAAAAAAAAEBR6zbt6ODB/WjVLf+JjqKDtl99VXStoaERHeSpHGH30cN/ypyihrDZ7Ca2TWd7z3vyKq5tu/b0ws0b1morH3XUqaNPB89fxpbUZsSIEUxZxrVr13r27DljxgyxWEwIOXr0aMXH5lGtW7dudBAREVHuTjp37kwHt2/f1kBOJdBIqkeOHKGDdu3aPXnyZOzYsU2bNjUyMuJyuYojsmRkZFQkVTV99fmdGBUVpbplZGQkHXTo0KFyc4JqBjeFAQAAAACgeMOHD1dzZFH1p+D18PBQ3UBHR+fXX3+dMGGCSCQihFy4cGHMmDFqdq5E8SmQSnoiRCwWJyQkqG5DD+1LP3lTGTl8GegfIXqGLG3nAlVE6fcGLn3twYzpjYteeygN5I6/ibUQLno1pM4MCxRFYZoBAKjlunbvcf5cCCHkyKEDi5euKOneglwuP3JoPx1379GraINmze1evYwlhLx5/ap123bFdpKXlxvz6KFm8q4Avo7OIv9lIwb1I4Rc/fuSttNRpV2b1nQQeumyUChis3WLbdavX7+wsLAePXoQQsLDw8PDwwkhQ4YM6dmzZ2Vn6Orqevz4cULI9u3b582bV757U3379g0MDCSE/P777xs2bKik4h6NpHrz5k068PPzU5FnSEiIik6YW5EV/O+xZ8+ep0+fJoT88ccfq1atUvHm/eOPP+i4d+/eFdkjlAM9WJH67ZmfCvXvRauAQhkAAAAAACietqZS1tPTGz58OH0XoCKFMlUgMTFx1KhRqts0bdqUECIUCss3Ok6tIhaL6ee6oLaRy+V4g9Q2FEXhotdauSofpIYvUl5enrZTAGWigoJS25S1UEZbHx8AACqP28BBi+Z7E0LeZ2VeuhDar//AYptduhCa+XmQjEFDhxdt0LptuwuhZwkhxwIPDf+u+NsIu7dv1UzSFVbHoA4dFBaW/sei6hT5Xrxb5050IJFIFi9fsXzxsiJbfPoOvlu3bnfv3v3666+ZVRs3bqzIny3mS3rVX/MPGzZs8uTJhJDExMQjR46MHTu2HPsaOPDTT51QKNy0aZO3t3d1SLXYrnJycuhAR0enpH0lJCQEBQWpSMnQ0JAOMjMzS71GKo5u0KBBs2fPpvsJCQkZNGhQsT2EhISkp6fT8fDhw5U6UfPsqdmspquMQ5PL5dnZ2eq3LywspAONFMpg6iUAAAAAAKh22rRpQwcfPnwQCoXaTQYAAAAAAAAAaqFG1jZdu39Dx1Mmuce9e1u0Tdy7t1MmudNxu686NG3WvGibXn1c6eDq35eePYkp2iD85o3VK5ZqJmmV5HL5Qp+fU5KTS2pAUdSeHdvouMvnY6+erBo2HND304ldv3X7xu1bS/ruXCQSKY1iMnr0aIlEUtkZGhsbz5kzh47d3d2vXLmiorFUKj179uz169eVlpuYmMyYMYOO582bd/LkyZJ6ePbs2aVL5RwESCOpOjk50cHGjRuLvRbZ2dl9+vRRnYm1tTUdhIWFqZF4iRo3bkwPI0QIGTt27Js3b4q2efPmDVMS1LFjRzs7u4rsEWocFMoAAAAAAEDxTp06dUY9+/bt0+yujYyMmJh5HgUAAAAAAAAAoCpt2fk7HXwsLOzYuuXvu3e+f59FURRFUe/fZ+3ds6tj65YfPw9ysD1gX7FzWLu0advQ0pKO+3TvFPLXSXoTmUyWEB/v5ztvaP9vrRo1GjJ8ZBUc0e+7djjbNxkxqN/Z06eSEhPFIhG9XPjx49OYx5P+Nyr4+FF6ybTps6ogn4o4GLDL0MCAjn2X/Nq+V7dLVy/n5ubSVRpisfjdu3c7duywtLRcsWIFIUQgEPD5fEJIRETEd999VwWDf6xYsaJJkyZ07OrqOnDgwJs3bzIZ0sNpREdHL1261MzMbMiQIcWOrrFy5Upzc3M6/u6774YMGRIREVHweXC4vLy827dvDxs2rFWrVnFxcVpMdfjwT8MpXbx4ceTIkc+ePaOrkeRyeWpq6s6dOy0tLV+9evXTTz+pSKNt27Z0cOfOnePHjzMjiJQDc7uysLDQwcFh+/btWVmf3rxZWVk7duxwcHBg+v/zzz/VnIAevhiYegkAAAAAAIqn/udDDodTpp4pikpISIiJiXny5ElSUlJqaqro830ZmuKtitzc3Pr165epfwAAAAAAAACAimtkbX046NT/vhtGCJHJZAvnzl44d3axLfceOFLscDKEEDabvSPgz6H9vyWEiMViD3flOab5fP6ZC1cDdm3TaO6q3Ai7diPsmooGw0Z+37PPt1WWT/kYGxlF3bjWoUfv7JwcQsizF8+HjRtdUmNnZ+fQ0NAXL1707t2bEBISEjJz5szt27dXaoZ8Pj8iIqJz584vX74khJw/f/78+fNl7URPTy8qKqpNmzZZWVmEkLNnz549e7Yaptq9e/fu3bvfuHGDEPLXX3/99ddfRdv8/vvv1tbWO3fuLKmTJk2aODg4PH/+nBDCzMbO4/Ho4PXr15afa85KZWNjc+bMmcGDBxNCZDLZrFmzZs0qvvbr2LFjGE6mFkKhDAAAAAAAVKnIyMjdu3czEwCXSiwWV2o+FWFhYbFtWym3sQICAgghOjo6isPkgJKPHz+KxWI+n6+rq6vtXKCKCIVCpkKOzWYbfH4KEL54Uqm0oKCAxWIxc8/DF4++6MzLOnXqlLXEFmouemhAfX19Lhc3oquXfD29UodtLOtz1Ww2BrAHgC+Ta7/+tyIfjB4+KDEhodgGDRo2PBp8xrGVk4pOunTrvvfAkR8njis6iomxscm5y2GNPs84U6nYbHbko2cb164+cvBPFc3m+S72nu9bzQbYKD6ZZrZN3j15uMBvya59f5S0pUAg2LJlyw8//MBmsy0tLf39/f39/Qkhu3btsra2XrhwYZlT+XxmWCxWqX/+TE1Nnzx5smHDhgULFqho1qRJkxUrVgwaNKjYDhs1ahQfHz9jxow//ijxML29vSdMmKC0eSWlunz58mJTDQ0NHThwYEmzJv35558TJky4fPmy6pTOnDnTpk0bxU8QzDxZSpuUenSDBg168uSJm5tbfHx8sSlZWlqGhoY6OzsXu1bNs1emk1zj0GPwEEJYLJbGfyewWKwy3S9lPlNoJBN8PgEAAAAAgKqzZ8+eynjqRVv09PS+/vpr1W3oWxgcDod5/AWKogsmWCwWzlLtoVQDh0tfezBz1eOi11pcLhc1E7UNl8vFW766UaderZp9PwoAoE32Di2iY2KjoyJOnzxx+9bN2BfPKbm8aXO7Ll27DRk+ssPXndX5dnzwsBFdv+lxaP8fF86dffhPNIfLbd2m3Zhx7sNHjtIRCKrgKGiNm9hu3rF7xZp1169dvXzxQlTE3ZexL9hsduMmtk4urfu6DXB161+nTvV7kqHkP0qGBgY7Nq5bPH/RufMXLoddjbgfnZCUqMPnOzo69uzVq3fv3j169NDR0WHaL168+NatW3S5hq+vr42NzdixYys1dx6PN3/+/FmzZl2+fPn8+fN379599uyZWCy2srJq3bp1t27d3NzcHB0dVf/l1dPT27dv3+rVq4ODg69evXrr1q309HRDQ8OOHTv2799/9OjRZmZmlZqqi4tLt27d+vXr5+joWNI/Evr6+teuXbt79+7+/fuvXLny+vVrfX391q1bDxs2bPz48fXq1VMnh+bNm2dkZBw/fvzUqVMPHjxISEioyCRZjo6Ob9++vXfv3vHjx69fv/7s2TO5XG5vb//NN998//33Xbp0+fJKWzSLxWIxhTKV0XmZPiYwjTWSDIu5PQEAAAAAAPD9998LhUI6/uuvv9T8rPjhw4cJEybQcdu2benncooKCwvbsGEDHbPZ7IEDB3bq1Klhw4b0Q8aKzyUkJydPmzaNjleuXNmyZUulroRC4ffff0/Hs2bN6tOnT9Hd5ebmjhs3jo7nz5/fpUsX1UehTp/lMHXq1Ojo6OnTp3t4eGikwy9Sfn6+UCjU0dHBsCK1R0FBwcePH+mYzWbXrVtXu/lAlRGLxbm5uSwWS82bpPAFkEgk9LAiNGNjYxTK1B6ZmZmEECMjIxTKVDe5V24mLl2vuo3DPBsizlO/T7lB3YzOzZuZexUWfBo0rrXDcGf7oeXPshJk5yWdubqwX9dF5vXstZ0LwH98O8Bh4MhWFexET5/P53MIIZtXht2/V/zYJzXIhGkde/WzI4TkCaUiafm/JgetEPCJjMiKLuex2WxWKVdTQIppQInl5POwIsUSi9kyyX/2KDA1YvPwb6dmMMOK0FBcUqvQhUrV4aIXFBR88803hJDjx4/b2tpWsDf8dgAAAAAAgKogk8l2795Nx4aGhlu3bjUxMVHRuKryAgAAAAAAAAAAAIBaRPuFPwAAAAAAUBskJyczswvPmjVLRZUMISQtLa1KkgIAAAAAAAAAAACA2gWFMgAAAAAAUBUSExOZ2MHBQXXj6Ohoze4dc84CAAAAAAAAAAAAAEGhDAAAAAAAVA2RSMTEHA5HdcuLFy9WfI+KU+dKpdKKdwgAAAAAAAAAAAAANR0KZQAAAAAAoCqYmpoycXx8vIqW+/bt00hdi0AgYOKMjIyKdwgAAAAAAAAAAAAANR0KZQAAAAAAoCrY2Ngw8bZt24othaEo6tixY+fPn9fIHrlcrr6+Ph1HRkZqpE8AAAAAAAAAAAAAqNFQKAMAAAAAAFXBwMCgS5cudJyQkODp6fnw4UOhUEgvKSwsfPjwobe39+HDhwkhI0eO1MhOe/XqRQfPnz8PCQnJy8ujKEojPQMAAAAAQI1jbGA5fsgB83r22k4EAAAAALSJq+0EAAAAAACgtpg5c+bDhw/z8/MJISkpKYsXLy62maenp4uLy4kTJyq+x6FDh4aEhNBxQEBAQEAAIYTNZrNYLHphUFAQl4uPRQAAAAAAAAAAAAC1BUaUAQAAAACAKqKnp7dz5047O7uSGggEAn9//759+2pqj2ZmZvPnz2fKYmhyuVz2maZ2BAAAAAAAAAAAAAA1Ah6dBAAAAACAqmNkZLR27dqXL1+GhYXFxMQkJCQQQszNzR0dHTt16tSmTRsej6fZPXbp0uXo0aN3796NjIx89+5damqqVCrV7C4AAAAAAAAAAAAAoKZAoQwAAAAAAPzr+PHj5djKxMTkzJkzajZmsVh2dnYqxpUhhFhYWKjuUCAQqL9HXV3dnj179uzZU3WzMvUJAAAAAFBzGXTvZH/2kOo2bD6rTEPSswmpz+USag6zpO9g+8WLR5UvQ6hx8vLyxGKxrq6unp6etnOpkXg8Do9f0VkglIZT/WLU0eHW0dF2EqCAIhQlpwiLsFkqf2hZlAZ3yhIQIlDVgF9kbyz2l/mOAACNQKEMAAAAAAAAAAAAAEAtwuJxObw6Gu9W6ftSHp+jX4ev8b1A9SST87g8SleXp6+Piw4a9oXW/9RkFCEsQkq/NBq9cqV1hp8TACgTFMoAAAAAgGakp6f/888/T58+ff36dXp6ulwuNzIyatSoUePGjR0dHe3t7Y2MjLSdY9VJS0ubNm0aHS9dutTJyUm7+QAAAAAAAAAAAAAAAEGhDAAAAABU3Js3b7Zt2/bq1Sul5RkZGRkZGffv3z958iQhxNraevDgwV27dq0N4zBTFCWTybSy6zFjxgiFQjoODg5ms0sZulkoFC5YsCAuLo5+aWJismHDBmNj48rNEgAAAAAAKkyamZXx5zFtZ/FfUikTPopO+WPHXS3moqacpsYF2s7hCyAWi+VyOZfL5XKr6IunptZyKTe/avZVBeyN67cyaVjBTvgcDkf1VDg1k1gmk1FybWdRBmwWoef84bAIi2hy+qFKxZJTRK7WeWYRipKzpB9l1XAUFxaHzaujq+0sAKAGQKEMAAAAAJQfRVFHjx4NDAxUp3F8fPy2bdsOHz68f//+yk6sNpPJZOrX6OTn58+ZMyc1NZV+aW5uvnHjRgMDg0rLDgAAAAAANEaWm/8h5JK2s/gPSuHDSPzbD2GXXmoxGTW9726dLNHOcw5QEUON2ImSZG1noTFcNtvOyLzinXCqXd2CBkgpmURek96kXBabw5YTQtgsFiE1p8RHTrFk0tKbEUIIYRG29KO4UtMpHzaXi0IZAFAHCmUAAAAAoPzOnj2rWCXj5OQ0YsSIpk2b1qlTh81my+Xy3Nzc+Pj4sLCwK1euaDHPisvNzZ0wYQId+/j4dO7cWbv5aER2draXl9eHDx/ol1ZWVuvWrasN4/0AAAAAAAAAAAAAQK2FQhkAAAAAKKe0tLSAgADmpb+/f9u2bRUbcDgcExMTExMTFxeXqVOnhoSEHD58uMrT1BhmmBaKqjGj5qqQkZHh5eWVn/9pnOpmzZqtXLlSR0dHu1kBAAAAAAAAAAAAAFSqL3CqQgAAAACoGkFBQUw8Y8YMpSoZJQKB4Lvvvjty5EjPnj0rPzUoRVJSkqenJ1Ml4+TktHr1alTJAAAAAAAAAAAAAMAXD4UyAAAAAFAeFEVdvnyZjtlsdu/evdXZSk9Pb+LEiZWYFqjh7du3M2bMEAqF9MsOHTosXbqUx+NpNysAAAAAAIDKk5OXdChkUnpWrLYTAQAAAADtw9RLAAAAAFAeubm5crmcjlu0aMHhcLSbD6jp2bNnCxYsYGaP+uabb+bMmcNisbSbFQAAAAAAQKWiCJHLZYR8CRPpApSqSw/bpnam2s6ior6AQwAAgGoLhTIAAAAAUB4fP35kYkNDw8rYRUZGRnh4+LNnz54/f15QUCAQCOzs7BwdHTt37tywYcPK2GNloygqJibmxo0bjx49ysrK0tXVtbe3b9++fbdu3fT09Koggfv37/v7+zMv3dzcpk2bpmaVjMYvh0wme/z4cXh4+NOnT9PT06VSqaOj44oVK0pq/OTJk3/++efp06fx8fFSqbRevXpOTk6tW7du3749n89XZ48URcXHxz969Ojp06evX79+//49l8u1srJq3rx5u3btnJ2d1ewHAAAAAAAAoDr7qpO1tlMAAACo1lAoAwAAAADlweX++5/ku3fvNNt5Tk7OmjVrHj9+rLhQLBZHRUVFRUUdOHDA1tbW19fX3Ny8pB5u3ry5YcMGOj58+LDqMpTHjx/7+fnR8Z49e8zMzBTXTp8+PSUlhRmChRCyZs0aNruYOUyDgoIUT4uS1NRUPz+/1NRUxSOKiIiIiIjYsWOHt7d39+7dVSRZcTdv3ly7di3zcuTIke7u7upUyVT8cqSlpU2bNo2Oly5d6uTkFBsbu3Tp0tzcXMVmEomk6LYURV24cGHfvn0ikUhxeXJycnJy8sWLFzkczpQpU/r166fiWAoKCv7+++8TJ04o7VEsFsfGxsbGxp47d47FYk2fPt3V1RXj6wAAAAAAAAAAAAB8wVAoAwAAAADlYWRkxMQpKSkZGRlK9SXlRpetyGQyFW3evHkzefLk+fPnd+nSpdgGFEWp7kEJ01ixIIZZpdRVWTsnhLx69crb27to50yH69atKygocHNzK1O36rt48eL27duZlxMmTBgxYoQ6G1bG5YiKilq6dKk6ey8sLPTz84uNjVXRRiaT7dy5MzIyctGiRSVNATZv3ryEhATV+6Ioavv27Xfu3PHz8yu2EAoAAAAAAACgOpNTlJSSazsLAACAGgCFMgAAAABQHjwez8HB4fnz5/TLZcuWrVy5Ul9fv4Ldvnv3btGiRcxLFxeX8ePH29jY8Hg8qVSalJR0+PDhe/fu0WtXr169bNkyFxeXCu60ssXExAQFBVEU5eDgMH78eFtbW11dXYqiMjMzg4KCLl68SDfbuXNnp06djI2NNZ7AyZMn//zzT+bl9OnT+/Xrp86GlXE5oqOjT506RQhp1qzZxIkTmzVrRp+N9PT08PBwxZYikcjLyystLY1+aWZmNmHCBGdnZ0NDQxaLJRKJYmNjAwIC4uLiCCFRUVHr16+fN2+eil3b2NgMGjSoRYsW9erV09XVJYTIZLIPHz5ERETs379fKBQSQu7fv3/48GF3d3d1zg8AAAAAAABA9cFmsbisL/DBD7G2EwAAgC8PCmUAAAAAoJzGjh3LzFj07t27cePGDR8+vFevXg0bNizf5DUymWzJkiXMy0mTJg0bNox5yePxGjduvGjRokuXLm3bto1euGLFikOHDvH5/AocRyl2795NCMnOzh4/fjy9xMfHp1u3bur3EBgYSAgZP378iBEjmDPDYrHMzc09PT2tra0DAgLohcHBwT/88IMGk6co6uDBg0FBQcwS9ZOvpMtx8uRJQsjQoUMnTZqkeDYsLCyUBrnZsmULUyXTv3//H3/8UXHAGIFA4OzsvHnz5h07dly6dIkQcuvWLTc3Nycnp6I7bdeu3cKFC62srJSWc7lcMzOzAQMG9OnTx8/P79mzZ4SQoKCggQMHmpiYqD4/AAAAAAAAAAAAAFAToVAGAAAAAMqpdevWnTp1unPnDv1SJpMFBQUFBQVxOJx27do5OTnZ2dlZWVkZGBio2eHVq1ezsrLouG/fvoplGYpcXV3T0tLo4g+hUBgcHDxmzJgKH00pFOfiKce8PL169Ro5cmSxqwYOHPjXX39lZGQQQi5evOjh4VG+MqNibd68OSwsjHnp7+/ftm1bNbetvMvh4uKiWCVTrFevXt28eZOOO3ToMHXq1GLbs9lsT0/P2NjYd+/eEUI2bdr0+++/F23p4eGhOiUdHZ1ff/11woQJIpGIEHLhwoUq+KECAAAAAAAAqAyBUQnP0/K0nUVFDWzVoL0NHmIBAIBKgUIZAAAAACi/efPm7dmz5/z584oLZTJZREREREQE/dLU1NTV1bVXr17m5uaqezt69CgTT5o0SUXLUaNGnTp1SiqVEkKCg4NHjRpVjuKVqqRinBgWizV8+HB63BqhUPj+/ft69eppar9MlQyLxVq1alWLFi3U37byLse0adNKLQY6cuQIE3t5ealoz2KxZs6c6e3tTQjJyMhITExs1KiR6s6LpaenN3z4cHr4H/ULZZKSklTP90QIoSiKECIUCrOzs8uRWC0hl8sJIRKJBGep9qAvOhPj0tce9G9FiqJw0WsP+qIz8vLyNFgWDDVCfn4+LnolkebV+C/CqwPFf0ugBqE/hEKxouI/hL3M1HYWFeXU0KiGFspQilFN+gNIld6kBqDwW70K4CTXQpVx0SmKyivLf7OFhYUaTAaFMgAAAABQfhwO56effnJzc/vjjz/++eefYttkZmYeOXLkyJEjX3311ezZsw0NDUtqRo+qQgjp1auXnp6eiv3y+fzBgwfTk/iIxeJ3797Z2tpW7FAqUZs2bVQPq6NYv6LZQhlFPB5P/caVdznMzc0tLS1V7/3jx49RUVF0/M0335Q6KFGzZs10dXU/fvxICLlz5075CmUIIW3atKELZT58+CAUCgUCQambiESiFy9eqG7TtGlTQohcLsdt3FLJ5XLcaqm18AaphXDRay2ZTKbtFKCq4aJXHpxbqM2UCjEBAACgZqEoqkx3BjR7G6FaP3cLAAAAADVC48aNlyxZcvDgwblz53bo0IHD4RTbLCoqavz48U+fPi12bXx8PBN37dq11J1+/fXXTPzq1asyplyl2rdvr7qBkZERE2v28foGDRrQAUVR3t7er1+/VnPDyrsc3bp1K7U3eh4l9duzWCwnJyc6fv78eantS6J4IXJycsrdDwAAAAAAAAAAAABUWxhRBgAAAAA0w8jIqHv37t27d6eHTExOTn7y5Mnly5eTkpKYNnK5fMGCBQEBAfXr11faXLFZw4YNS92dhYUFE8fFxVU4/UqkmGqx+Hw+E4vFYg3uet26dYsWLaLrTuhamQ0bNqgz+k7lXQ51hntJTExkYmtr61Lb093Ss32pGN+FoqiEhISYmJgnT54kJSWlpqaKRCLFBopjmeTm5hb9KQUAAAAAAAAAAACAmg6FMgAAAACgYSwWy9DQ0NDQ0MHBYcSIEampqbt27bp//z7TYOXKlZs2bVLaKiUlhYlLmp5Jkb6+PhMrVnVUQzo6Otratb6+/tq1a+fOnUsXr8jl8jlz5qhTK1N5l8PEpPT5xRMSEph41qxZbDabfB5Vm6IoJiCEyOVyOmDGnM/Ly6MoisVSngM8MjJy9+7d6enppe6dpmbFUp06ddzc3FS3efv2LSGEw+Fo8Seh+pNKpTKZjM1ml2mOMKjR6ItOxywWS7FkEL5scrlcIpEQrf59hCrGXHQan88v+pcavlR0XTKPx6P/owONk+B/J01gsViEYBKfmofFZhNM3ArVHP7l0Qb8q1lJFCe8w0muVehLXxkXncVilenOgGZnHUWhDAAAAABULgsLC39///379wcHB9NL3rx5k5ycrDROieLXJ1xu6f+mKt5qVxoXBBTp6OjQtTL0bEp0rcymTZsaN26sYqvKuxwYdUtFAAAgAElEQVTq9Pbx40cmFgqFpbYv1Z49e86ePVvxfooyNzdftmyZ6jZTp04lhOjo6BgYGFRGDl+G/Px8mUzG4/FwlmqPgoIC5s3OYrFw6WsPsVgskUhw0WsViUSiOKehnp6eOv8PwJeB/s9QT08PtbCVRKRQsA7lhm/7aiguh4NCGaieauzvlBqb+H+w8Fu9MihWyRD86axlKq9QhsPhlOnOAHMLWiNV+PhQCgAAAABVwd3d/erVqx8+fKBfPn36VKlQRvHWuTq14Yqz5OCRdNUEAsG6deu8vb3pkVrkcvns2bNV18po93Jo9suzsLAwpkqGzWYPHDiwU6dODRs21NfX53K5LNa/N1CSk5OnTZumwV0DAAAAAAAAAAAAQHWDQhkAAAAAqApsNrt///6HDx+mX9KT0SiqX78+E+fl5emX9mRkQUEBEyvV3ChReuKhKM2O2Vg9CQSC9evXK9bK/Pzzz5s2bbKxsSm2feVdDnUo7j0wMLDUvasgk8l2795Nx4aGhlu3blUx91Nt+EkAAAAAAAAAAAAAqOUwNSwAAAAAVBErKysmVpxbp+ja5OTkUntLS0tj4qLVHhwOh4lLrX7IzMwsdXdfALpWhjnPMpls9uzZ9HxMRWn2cpRVkyZNmDgjI6MiXSUnJzNFPLNmzVJRJUP+exQAAAAAAAAAAAAA8EVCoQwAAAAAVJH8/HwmNjIyUlprbW3NxHfu3Cm1t4iICCZu2rSp0lpDQ0MmzsvLU91VTExMqbtTVOoQNdWWQCDYsGGDpaUl/VImk3l5edFjzCjR7OUoK8U5oaKjoyvSVWJiIhM7ODioblzBfQEAAAAAAAAAAABA9YdCGQAAAACoIpGRkUxsZ2entNbMzMzU1JSOL126JBQKVXQlkUjOnDlDx3w+39bWVqkB0xUpbponRWKxOCwsrJTUCWGz//3PWSqVltq+2hIIBBs3biy1Vkazl6OsjIyMWrRoQcfHjx+vyAkXiURMrDjOULEtL168WO4dAQAAAAAAAAAAAECNgEIZAAAAACiPwsLCv/76SyKRqNk+OTlZcdCRYsf2GDVqFB1QFHXkyBEVvZ06dYopgBgyZIhiFQvN3NycxWLRMVPDUaxjx47J5fLS0icCgYCJKzgZkNbR48o0bNiQfimVSr28vJKSkpSaafBylMP48ePp4OPHjwEBAeXuR7FkqqR5pmj79u2r0SVQAAAAAAAAAAAAAKAOFMoAAAAAQDnt27dvzJgxwcHBhYWFqlumpqbOmzePedmpUycTE5Oizfr06cMs/+uvv0oa3uPGjRuHDh2iYx0dne+++65oGw6H07VrVzp+/vz5vXv3iu3q6tWrQUFBqpOncblcfX19OlYcGqeG0tXV3bhxo+paGQ1ejnJo2bIlcwXPnz+/b98+mUymepPMzMyDBw8WFBQoLrSxsWHibdu2FVsKQ1HUsWPHzp8/X+GsAQAAAAAAAAAAAKC6Q6EMAAAAAJSfWCzev3//6NGjly9ffuvWraSkJGaOHoqiCgsLnz9/vmnTpilTpuTm5tLLDQwMvLy8iu2Nw+EsXryYebl9+/YVK1bExcXRxQ0ymSwxMXH9+vXr1q1j2ixYsEBxrBdF7u7uTLxixYrAwMDs7GyKogghIpHo5cuX/v7+mzZt4nA4atZ29OrViw6eP38eEhKSl5dH91ZD0bUyDRo0oF+KxWKlWhnNXo5y8PLyYtL766+/3N3dz507l5qaKhaL6YVyubygoCAuLu7ChQuzZ8/28PAICgpSGh/IwMCgS5cudJyQkODp6fnw4UPmp7SwsPDhw4fe3t6HDx8mhIwcOVJTyQMAAAAAQLVibGA5fsgB83r22k4EAAAAALSPq+0EAAAAAOBLEBERoTizUklMTEzWrVunp6dXUoNmzZotWbJkyZIldLnDvXv3ShoMhhAyZ86cdu3albTWwsJizJgxgYGB9MvAwEAmVrRq1SqxWKzOuDJDhw4NCQmh44CAAHo+IDabzczxFBQUxOXWpH+w6VqZ2bNnp6amks+1Mlu2bGFGmtHg5SgHHR2dzZs3L1u27PHjx4SQ/Pz83bt3l6OfmTNnPnz4MD8/nxCSkpKiWP2jyNPT08XF5cSJExXJGQAAAAAAAAAAAACqOYwoAwAAAADloaent2/fPg8PD0tLS3Xa6+rq/vjjj7///ruZmZnqlm3atPnjjz8cHBxUtLG2tt6zZ0+PHj1UdzV69Ohp06aVtNbU1HT79u329uo+UGhmZjZ//nymLIYml8tln6nZT7Wip6e3adMmCwsL+iVdK0PXzdA0eDnKQSAQLF++/JdffjEyMlLdksViubq6bt261cDAQGmVnp7ezp077ezsVOzF39+/b9++GsgYAAAAAAAAAAAAAKq3mvTAKwAAAABUK6ampkOHDh06dGheXt7Lly9fvHjx7t27xMTEtLQ0iUQiEAgaNGhgZWXVrFkzFxcXa2trDoejZs8mJiZr1qxJT0+/devW06dPnz17lp+fr6enZ29v7+jo2LlzZysrK3X6YbFY/fv379at240bNyIjI1+8eFFYWGhqatqyZcsePXq4uLionxKtS5cuR48evXv3bmRk5Lt371JTU+l5iGo0ulbGy8srLS2NECISiWbOnLl161amekZTl6N8WCxWhw4dDhw4EB8fHxkZ+fLly9jY2OzsbEKIubl5o0aNmjZt6uzsbGdnx+PxSurEyMho7dq1L1++DAsLi4mJSUhIoDd3dHTs1KlTmzZtVGwLAAAAAAAAAAAAAF8SFkVR2s4BAAAAAADgizV16tTo6Ojp06d7eHhoO5fqKz8/XygU6ujoFB0TCL5UBQUFHz9+pGM2m123bl3t5gNVRiwW5+bmslisevXqaTsXqCISiSQnJ4d5aWxsXLNmq4SKyMzMJIQYGRmhLrmSyHJyc/6+ru0s/qPRuO8KRSI6/t+o6eP/N1O7+agj10JP8t+hQ6EchEKhTCbj8Xh8Pr9q9mhuKiM8UdXsqwo0qmNiU6ei/xLz2Bw2i0UI8T75KOxlpiby0qaFrvYj21gSQqRymaxGfZvJZhH6lwqbkBr024UllxP1zjNFEUpOycQUq/odHovN4ujqaDuLLxBFUYpFBWw2Zq2pReRyOakeF72goOCbb74hhBw/ftzW1raCveFDKQAAAAAAAAAAAABAzcMxMqw7cpC2s/ivCf8O29mkeV3XQapmcYUvSW5urlgs1tXV1dfX13Yu8KXhsjn4OrMqqP8lOEURNsXhVvUX50lJSQcOHDh//nxMTEx+fj698N69e23atKnKNDZs2LBgwQJCyLJly+bPn1+VuwYADcJfFgAAAAAAAAAAAAAAAACoRSQSyZ07d86ePRsZGfn06dPs7Gw9PT0TE5OmTZs6ODi0bt3a2dnZwcEB455WE1u3bp01a1bR5VU/d4pcLpdIJOTzMBsAUEOhUAYAAACgdIWFhU+fPo2JiXnx4kVaWlp2djaPx6tXr17z5s1tbW1btWrVpEkT1Y9QCIXCMWPG0PHMmTN79epV1gYA2lJ7fjhfvnw5b948Ot6xY0eDBg20mw8AAABAbSDNzBKnpKtuw9Xj8I1Zcj5fqo/JFKq/f7+wTMsTPUzMUdEUviQFBQVSqVRHRyYQSLWdS41kWodvbiCoYCccNotd7WbC0QCZnJKXpRaCzSIclSeCoqhDhw7NmDEjNzdXcblYLM7Ozn779u3ly5eZhe/evbOxsSljyqBhjx49KrZKBgCg3FAoAwAAAKBKQkLC/v37IyIilJZLpdLExMTExMRr164RQnR0dEaNGjVw4ECBoMSbGjKZjA5Ketqg1AYARY0ZM0YoFNJxcHBwJY15W3t+OJkjrfoHkgAAAABqp5yrt9K2/6G6Tf1hTiY2SaIWX2Vbc1S3BO1j/fuR4ezTjOjD0VrMBaAGGd3OatLXjSvYiYGAq8Ot0qlwqkahWCaSluF2hA6XbSAo8QtQiqJGjx59/PhxTaQGVWTdunV00KlTp4MHD9rY2HC5+I4bACoEv0QAAAAAiieRSHbu3Kn4BIkKIpHowIEDhw8fnjx5cv/+/VmsL/H5HaiWZDIZU9sBAAAAAAAAAAAqrF69mqmSsbCwWLZs2bfffmthYcHn8wkhMpmssLAwMzPz9evXUVFR586dw12+6uD06dN0sHv37qZNm2o3GQD4MqBQBgAAAKAYeXl5Pj4+ycnJzBILC4vRo0fb2dmZmprq6OgQQqRSaU5OzqtXry5duhQVFUUIkclku3fvbty4ccuWLbWWem2Vm5s7YcIEOvbx8encubN28wEAAAAAAAAAgGolPz9/0aJFdNy9e/dLly7Rd/kYXC7X0NDQ0NDQ1tb222+/XbhwoTbShP+QyWTMJFlWVlbaTQYAvhgolAEAAABQ9vHjx1mzZmVlZdEv9fT0fvnll5YtWyo9QcLj8UxNTU1NTb/++usPHz78/vvvN2/e1Ea+8AkmzQEAAAAAAAAAgJJEREQwk0ofPXpUqUoGqifFG32VNOc4ANRC+G0CAAAA8B8URS1fvpypkrG1td23b1+rVq1Uj7NqYmLi4+OzZMkSepjWchAIBGc+69OnT/k6AQAAAAAAAABCiDA97p9FffPfxWg7EQCoRh4/fkwHBgYGDRo00Eif9ONzY8eOtbGx0dXVrV+//pAhQ7Zt25aRkaF6wylTpvD5fD6ff+zYMXpJfn7+jh07unTpUqdOnbp167q5ue3du7ewsLDUHGJjY1etWtWnT5+GDRvq6OgYGhra2dkNGDDA39//+vXrBQUFlXQIZUJRVGRk5Lx58zp27GhoaFinTp2vvvpqzpw5d+/eZaqXFOXk5NDnRyAQMAvr1avHVxAcHFymHJTOOUVR4eHhc+fOdXZ21tfXNzMz+/7770+cOCGVSit4sISQ2NjY9evXDxw4sH79+rq6uo0bNx41atS+ffuys7PV7yQnJ+fQoUOTJk1ycHDQ19evW7fugAEDduzY8f79e3U2r5orC1BDYUQZAAAAgP+4ceMG85nZ0NBw1apVih/GVGvTpk1AQEBOTk6lZQcAAAAAAAAAaqAoSiYlGHAUABQwBRBCoZCiKNXPxZVKJBL5+Phs3bpVcaFQKKQfhJs5c+aiRYv8/f253OK/jZXJZBKJhBBCl4lcv369X79+QqGQXltQUHDhwoULFy7MnTv3+vXrzs7OxXaSm5s7YsSIy5cvKy4Ui8V5eXkvX74MDQ1dsmSJhYVFSkpKZRyC+mJjY93c3N68eaO4MDo6Ojo6euPGjdbW1ufPn3d0dFTaij4/imQyGTOkNPl86tSneM7z8vL69OkTERHBrC0sLAwKCgoKCqpXr96NGzeK5qMOiqIuXbrk4+PD3GGmxcXFxcXFHT9+/Icffli7du2cOXNUj44jEokWLFiwadMmxYWFhYWhoaGhoaGenp6+vr5+fn4ljYpUZVcWoObCiDIAAAAA/5JKpdu3b2dezps3T/0qGZqJiUnjxo01nBYAAAAAAAAAAABUjL29PR1IJJJbt25VpKusrCw7OzulQgQlK1as6NGjR9Fqj6Ju377do0cPpkpGUXZ2dtu2bZOSkoqukkgkHTt2VKqSUZ9mD0GFS5cu2dvbK1XJKIqPj2/ZsmVISEhF9lImMTExLVq0UKySUZSVldWyZcs7d+6Uo+e7d+/269dPqUpGiY+Pz7hx41TMHZ+amtqkSROlKhklv/322/79+4tdVWVXFqBGQ5kYAAAAwL/u3bvHfCJt3Lixk5OTdvNRh0QiiYiICA8Pf/HixYcPH4yNjV1cXDp27Ni+fXsOh6PF3mQy2ZMnT/7555+nT5/Gx8dLpdJ69eo5OTm1bt26ffv25ZijSiaTPX78ODw8/OnTp+np6VKp1NHRccWKFWXtpyQZGRnh4eHPnj17/vx5QUGBQCCws7NzdHTs3Llzw4YNy9EhRVExMTE3btx49OhRVlaWrq6uvb19+/btu3Xrpqenp6m01Zeenh4dHf3gwYO4uLjMzEw2m21mZmZra9uqVas2bdqYm5tXfBcURcXHxz969Ojp06evX79+//49l8u1srJq3rx5u3btnJ2dyz03mUZOpkwmi46Ovnv37sOHD+kfb3t7+86dO3fs2LHciQEAAAAAAABATdGlSxcm7tOnz65du0aOHGlgYFDWfsRicYcOHeLj4wkhbDZ78eLF48aNa9SoEZ/Pl8lkCQkJ27dvX79+PSGEntln8+bNKnqLiIiYOHEiIWTlypXu7u4WFhZsNjsrK2vnzp1+fn6EEJlMNnPmzJMnTyptGBgY+Pz5czr29/cfM2aMlZWVrq4uIUQqlebn58fHx9+4cSM0NLSyD0GFhISEvn37Mi/XrFnj7u5O34ZKT08/dOiQj48PvWrw4MGvX7+2tbWlXxoZGdGlJGKxmBk3JSsrq27duuXLRNFvv/1GB8uXL580aZKFhQUhJCMj49ChQ3PnzqVX9erVKzU11cjIqBz9W1hY+Pr6fvvtt1ZWVvr6+oSQ/Pz8hw8f+vr63rx5kxASGBg4bty4/v37F91WKBS2bduWGQSod+/efn5+rVu3NjAwoCgqJyfnwYMHq1atunTpUrG7rrIrC1DToVAGAAAA4F+nT59m4tGjR1dw/NUyEQqFY8aMoeOZM2f26tWraJu0tLRp06bR8dKlS52cnB4/frx8+fKPHz8ybTIzM69cuXLlyhV9ff1Fixa1atWqpD1qtjdFFEVduHBh3759IpFIcXlycnJycvLFixc5HM6UKVP69etX0hkumltsbOzSpUtzc3MVm9EPPUyfPj0lJUXxIYw1a9YUO3hpUFBQsQOK5uTkrFmzRulRD7FYHBUVFRUVdeDAAVtbW19fXxWlJEUTTk1N9fPzS01NVewwIiIiIiJix44d3t7e3bt3L6k3jcvLy9u4cWNUVJTS8oSEhISEhOvXrxNCWrRoMXny5ObNm5dvFwUFBX///feJEyeUrpFYLI6NjY2NjT137hyLxZo+fbqrq6vqd1YlncwXL14sXbo0Ly+PWZKZmZmZmRkeHq6jo7Nw4cK2bduW7ZgBAAAAAAAAoEYxMTFZsGDBqlWrCCFisdjDw8PDw6Ndu3b9+/fv3Llzq1atGjZsqHpCHNrq1avp8VFMTU0fPHhgaWnJrOJyuU2aNFm3bt3w4cPpupwtW7b8/PPPKoag3rRpk56e3pMnT5o1a8YsNDU1Xbx4saWl5Q8//EAIOXXq1Pv375VqRAIDA+lg7969Hh4eiqt4PJ6JiYmJiYmLi8vMmTMr+xBUmDx5Mh3w+fwHDx60aNGCWWVhYTF37twBAwa0bt1aLBYTQtzd3W/duqV040jxipTjsUAVoqOjFW8H1a9f39vb283NzdnZWSaTCYVCPz+/staR6Orqnjx5cvDgwUqpGhgYdO3a9fr164sXL6Yf/Js8eXJSUlLRu2S+vr5Mlcz+/fvHjx/PrGKxWCYmJj179uzZs+ejR48SEhKKJlBlVxagpsPUSwAAAACfiMVi5iEMQkjVDycj+6yk6XUpimLaEEIiIiIWLVqkWNeiqKCgwNfXt9hHRiqjN0ZhYaGPj8/OnTuVqmQUyWSynTt3Llu2THFSYRW5RUVFzZ07V6kCQ7E3pZOmuLmiYjd//PjxxIkTVQ+I+ubNm8mTJ4eHh5fUQCnhV69eTZ06VbGwQ6nxunXrzp8/r2KPGpSTk/Pjjz8WrZJR8uzZM29v75J+AEo1b968ffv2lXSNaBRFbd++fcmSJaonkK6Mk3n58mUfHx/FKhlFIpHI39+fLhgCAAAAAAAAgC/Y8uXL3d3dFZdER0cvW7bMzc2tUaNGPB5v8ODBQUFBxc6CRMvPz6cHeiGEXL16VbEQQVHnzp39/f3peO/evaqzCgwMVKySYUycONHU1JSO7927p7T27du3dODq6qq6fyWVcQjFiouLYwY+OXjwoGKVDKNFixYHDx6k49u3b798+bIcOyqHLVu2FPvQlKOjY0BAANOmoKCgTN22bt162LBhJRX0sFispUuXNmnShBCSkpLCXEFGdnb2xo0b6XjJkiWKVTJKnJ2dBwwYoLSwyq4swBcAI8oAAAAAfJKcnMzEJiYm5Rh2tSpFR0fTA65aWVlNnTrVzs5OIBDI5fLU1NTg4GBmcuJdu3Y1aNCgTZs2VdObSCTy8vJKS0ujX5qZmU2YMMHZ2dnQ0JDFYolEotjY2ICAgLi4OEJIVFTU+vXr582bV2pup06dIoQ0a9Zs4sSJzZo109XVpSgqPT1dReWKmt69e7do0SLmpYuLy/jx421sbHg8nlQqTUpKOnz4MHMbYvXq1cuWLXNxcVHdZ0xMTFBQEEVRDg4O48ePt7W1pRPOzMwMCgq6ePEi3Wznzp2dOnUyNjau4CGUasmSJYWFhXTcqVOn4cOHW1pa6unpsVgsuVyen59PDyrDJFYRNjY2gwYNatGiRb169eiRfmUy2YcPHyIiIvbv30/fY7p///7hw4eV7kmVRCMnMyYmZsuWLczL3r17jxw5kh7HWCgUvnr1as+ePXFxcevXrx8xYkRFTwEAAAAAAAAAVGMcDufAgQOenp4+Pj70JDiK5HJ5SEhISEgIj8dbvXr1rFmzilY8MLcjunfvrvpBuylTptDlCLt27Vq2bFlJzYyNjQcNGlTsKjabPW7cuE2bNhFCYmJi3NzcFNfa2dm9ePGCEHLlypUJEyaoyKSyD6EkZ86coQMTE5ORI0eW1GzkyJH16tXLysoihAQHBy9cuLCsOyqHH3/8saRV48aNmzZtGj3Iza1btxSnjqo4Npvt5eU1e/ZsQkh4eDgz1RSNOWN8Pn/BggVl7bzKrizAFwAjygAAAAB8kpiYyMRNmzbVYibqoOtaunXrtnXrVhcXF11dXRaLxeFwLC0tZ82axTw6QAhZuXIlPUVRFfS2ZcsWpkqmf//+e/bs6d69u7GxMZvNZrFYAoHA2dl58+bNzGMut27dUj2UC50bRVFDhw5dv369s7MzXeHBZrMtLCzosobdu3efOXPmwIEDzCY+Pj5niqM075JMJluyZAnzctKkScuWLWvevDmfz2exWDwer3HjxosWLZoxYwbTZsWKFfSHZBUCAwOlUun48eNXr17dqlUrJmFzc3NPT0/FD+HBwcGqu6q4pKSkV69e0fHYsWMXLlxob29fp04d+opwOBwjI6NWrVp5enoeO3bsf//7X7l31K5dux07dmzdutXV1bVRo0b0UbNYLC6Xa2ZmNmDAAMXHhoKCgj58+KBOtxU/mTKZjB7PlvbLL794eXlZWlpyOBwWi6Wrq+vk5LR582Z6srMquCIAAAAAAAAAoHUdO3a8ceNGenr6iRMnJk+eXHTgDYlEMmfOnC5duhQdMpkZcbnUGyn169eng8zMTBVDL48bN07FLNXOzs50wNzhYUyaNIkOJk6cOHfu3EePHpU0oLISjR9CSa5du8ZkqGJOKzabzUwddeXKlbLupRwGDBggEAhKWsvj8Ziynlu3bml87/b29nSgOLo5jal08fDw4PP5Ze25yq4swBcAI8oAAAAAfJKRkcHE1tbWWsxETVZWVt7e3sV+yPzqq6+mTJmyZ88eQohQKAwNDR0yZEhl9/bq1SvmQZwOHTpMnTq12A/5bDbb09Pz/+zdd1wT9/8H8E+OEEKQJcOFgIqIWES0ddtaStVW67ZK60R/iiJqqzhqVaij1tFaFRUHjroR9y5aq1YFHMUt4gJEpmwIhOR+f5xe7wvkEiCD8Xo+fPh45/LJ596XO5Fc3p/PJzY29uXLl4SQNWvWbN26led2ACHE3d193Lhx/G24mauzmDQh5OLFi8xQFUJI7969Bw0aVG6zXr16paSkhIWFEUKkUml4eLi3tzd/z56enspGyfTr1+/o0aPMxXbu3DkfHx/+46oi7nS1/NOlGBsbDx8+vNI7KrUSdllGRkaLFi0aM2YM89n77NmzKt9GRhXfzIiICHaOXB8fn44dO5bthxnK8/LlS2YJ5wrJzs4+deoUfxvmkGUyWaVXtqoLSkpKCCFyuRzvUt3BnHQGTdM49XUHc+8eJ71OKfWFTVFRkcoybqhlioqKuD/2S1HnemDW7lQoFISUv5ABAAAAiyY0TdPqtLS2th48ePDgwYMJIYWFhXFxcREREb/++uvr16+ZBpGRkRMnTtyxYwf3VTdu3GCC6dOnBwQEEEJommb+q2IDhULBxozs7GwbG5ty0/jggw94Eq5fvz4T5ObmlmrWv3//Xr16MWsbrV69evXq1YSQHj169O7d+9NPP23fvr2RkVG5fWrqEFS+z9HR0UzQsWNH/sYfffQRE0RFRZVqyX1I0+qeXH5dunTh76dTp0579+4lhMTExCjLhycZuVx+48aNiIiI69evP3nyJCUlhfsrMRs/f/68VA/Xr19ngu7du1fiSDV+cSqjkbMANYs2TjpN0xWq02JvI2gkGRTKAAAAALyTnZ3NxlZWVnrMRE1+fn48FSFffPHF7t27mTV3Dhw40L9/f/6CjKr3xnx6ZEyfPp1ndwKBwN/ff+bMmYSQtLS0xMTEpk2b8uTm6+urjWqS/fv3szE7BKdcw4cPP3LkCHNzPzw8fPjw4fy1OOPHj1f2lEAgGDx4cEhICCFEKpW+fftWqxcbWwkkFosNDQ21tyN1SCSSwYMH79u3j1SkUKaKbyZ7lo2NjZXNY8x05efnx1yTFZKRkfHrr7/yt2FmqJLJZBVd1roOKikp4fkWDWoxmqbxD6QOwkmvs1AjVQcxS3Aqo3LKRvL++yTuNzoAAAA8KvEdqlgs/uCDDz744IPp06efOnVq8ODBzP8+u3btWrhwYbNmzdiW7CwgUqmU//84LplMpqzeol69ejwJs/egmPoG7lMCgeDUqVO7du2aPXs2ewvoypUr7Ei2cePGBQYG2tnZlepT44egDDuBd8OGDfkbN2rUiAlyc3Plcjn3zpsGC2XY19rZ2fH3w75piYmJPC3Lff5WnUwAACAASURBVOro0aPjx4/PyspSmU9eXl6pHl68eMEETZo0qcSRaurMqoRCmTpIGyddoVBU6M4A8/WEppLB0ksAAAAA73AHMpZao6caEovFrq6uPA0MDAyYATGEkLy8vOTkZK32VlhYePPmTSb+5JNPTE1N+fN3cnIyNjZmYnaoRLlsbW3Lzn9bdenp6ewcQp6enhKJhKexSCTq378/ExcXFzNz4Sjj4eHBf/jsCkSEkLdv36qZcOWwmUil0urwfaSHhwcTZGZmqvNxvYpvZkZGBnufaODAgWWXFedycnIyMzNTmRIAAAAAAAAA1GICgYCZwpbdcuTIEW4DjRduVmV4GEVRY8eOTU5Ovnfv3tq1a7/44gvu3Y/t27c7ODhs37691KtQe6q+in4fHxwcPGTIEHWqZLQBZxZAfSiUAQAAAHiHO99G9Z/SoHv37io/Rbdv356N+deUqXpv3NqRHj168HdFCBEIBG5ubkxcdjleLnV6q4T4+Hg27t69u8r2nTt3ZuOya0JzsVPFKmNubs7G2v7Y3LJlSzZevnw5W3SvL9xj587hpEwV30zuZfnhhx/ydyUQCHr27KkyJQAAAAAAAACo9fr06cPeKmSXs2Gwc59ERETI1ca+ShsoinJ1dfXz8zt58qRUKn3y5MnSpUstLS2ZZydMmHD37l29HAI7+C0lJYW/JTsqz8TERM1F1auCXV1LZYPGjRur321SUtK0adOYuGXLlrt3746NjX379i2zDCX7Tp4+fVpZDw4ODmxX6u+XVQ0vToBqC4UyAAAAAO9wJ5PIzMzUYybq4BZAKNOgQQM2Zmc61VJv3C329vYqeyOEsMstPXnyRJ1mmsX9PKzOJ96GDRuy8atXr9RsWS6RSMTG6swzXxWOjo7sLYmYmJgRI0asWLHi3r17WqqYoWk6Pj7+9OnTK1eunDFjxogRIwb9L19fX7ZxTk6Oyg6r+GZy7ynY2tqq3B2zRhIAAAAAAAAA1HEURbGz2Kanp3OfYgdcRUVF6TotNVAU5eTkNHfu3NevX3fs2JHZ+Msvv3Db6OwQOnTowATsRNTKREdHM4HKQVMaUar4qSz2nWnXrp363TILjhNCOnTocO/ePW9v7xYtWpibmwuFQu4YRXaW67K6dOnCBNeuXVN/v6xqfnECVCvVfU0BAAAAAJ2xsbFhY+50I9UTN1tl2LWNCCFv3rzRam8JCQlsPG3aNGbkBzM3Kbt4MPM3u6CyXC5n2ufm5tI0rWxKG3b4i2ZxD0GdBXdMTEzYmH/QiZGRUVUS0yyBQBAUFOTv719YWMhsuXr16tWrVwkhVlZWHTt2/Oijj1q3bs09ukqLjo4OCQlJTU1Vs706RUJVfDO5Z5l/dS2GtbV1RXfRrFkzlbceJk+ezCRQif7rjry8PKlUamRkpHLhNqg18vPz2R9NFEXVr19fv/mAzhQXF+fk5AgEAisrK33nAjoik8m4M8lZWFhU/3VOQVOYbxbNzc2583eWkmFikqeqH+bluHIAAEAdAiLQyJQk7M2uRo0acTvs3bt3WFgYIWTDhg1z5syp9L7YW2ECAV/CajYry9jYeNmyZV5eXoSQc+fOafAQ2Ht9Kl/o6el5/PhxQsiOHTt++eUXZe0VCsWOHTuY2MvLq1Qz7kOKoqpyctk389SpUzKZTNl9p5KSkkOHDjFxt27dSu2R54ww99wIIQsXLuS5qXXy5EllPfTp02f//v2EkG3btv322288v0GVS1MXZ1nsSWfoYNYfqD6YJb20cdIpiqrQ/dL8/Hz2hRrYe9W7AAAAAKgd2Ik3CCHPnj3TYybq4E6koQx3TeKioiKt9sZ+2UkIkUqlBQUFBQUFhYWFhYWFUqm0qKioqKiouLi4uLiYnWhU5R4ZWrobLpPJKrQL7i/f/G9mdWNra7t9+/ZevXqV2p6RkXHmzJmffvrJ29v7p59+qmJx2ObNmxcvXqx+lYxucGtx1Pn4VIm6HOaOBr+K9gkAAAAAAAAA+vXkyRN2wulu3bpxnxoyZAgTJCYmsjOIVE/sWBT222WGzg5hwIABTJCens5Wh5R18uRJ9p7S0KFDtZcPS6FQbN++XdmzBw4ckEqlTFyhReHZ6ZPFYrGyNgkJCUwtS7n69+/PBFKp9Pfff1d/14wadHEC6B1u2gIAAAC8w11/JyMjIzc3V4/JqKTObBxMrTeDvxSm6r3VuMGd3AEZ6lTtcA+/Ws0Zow6JRDJ16tT9+/fPnTu3R48eZfO/efPm1KlTd+zYwR0aor5Lly6xNzsoiurfv//PP/+8c+fOQ4cOHT169NixY8ff27RpU1UPpiK4Fyr3DCpTs0qgAAAAAAAAAKBCzp49u23bNpVLrmdlZX3xxRfsw4EDB3KftbCwmDlzJhOPHDkyIiKCp6uSkpITJ078/ffflU1ZKYVCMW3aNJ5pj2maZistPv30U+5TOjsER0dHdtfe3t7Pnz8v2+b58+fe3t5M3KlTJ2dn50rsqBL8/Pzu379fdntcXJyPjw8T+/r6VmjiWzc3Nyb47bffyr3JlpWV5enpydODpaWlv78/EwcEBISHhytr+ejRo3PnzpXaWE0uToAaAYUyAAAAAO+IxWInJyf24YMHD/SYjEqlVkcuV0FBARs3atRIq701aNCAjfft23e8gpStu6Q93ITVKYrijrzh1lTVIBKJpGvXrgEBAQcPHty5c+eiRYs8PT25EwUdPnz4r7/+qmi3crk8JCSEic3MzLZv3z5hwoQ2bdpYWlqKRCKKorgnV/2ZhDSCe5a5F7AyGRkZ2kwHAAAAAAAAAPQpMzNzwoQJ9evX/+STT0JDQx8+fJiVlcUOrSkqKnr69Okvv/zSqFGjFy9eMBt9fHzs7OxK9bNs2bJmzZox8eeff963b98rV67k5OSwy45nZWXdunUrKCjIysqqf//+KktzKmfdunV2dnZeXl7h4eEJCQns+J/CwsK7d+8OGTJk7969zJYZM2bo6xDYiVsKCgqcnZ3Xr1+fkZHBrOOTkZERHBzs7OzM3rTZtWuXzm4SKhQKNze31atXp6WlMUf99u3b4ODgVq1aMUMKDQ0Nly5dWqE+2Qldzp49O2TIkEePHjFzWisUiuTk5A0bNjRq1CguLm7KlCk8nSxfvtzW1paJhw4d2r9//6ioKPbOZG5u7rVr1wYOHOjq6vrq1auyL68mFydA9VfDBv4CAAAAaNWgQYNWrlzJxPv37+/UqZPuCzjUFBcXp7JNWloaG5f9SK/Z3tgPYExLExMTlR3qF/cQkpKSGjZsyN8+JSWFjR0cHLSVlk4IBAJLS8sOHTp06NBh6tSpJ0+eDA0NZZ7avHlzz549K7RaUFJSEvtZfdq0aZaWljyNuW+jDnDXU0tNTTU3N+dvX+7AJgAAAAAAAACoZS5fvnz58mWVzbp168aODuISiUQ3b97s3Lnz06dPCSGnT58+ffq05rNUz4ULFy5cuMDTYMSIEb179y61UWeH4ODgcOLEia+++ooQIpfL/f392RlTSjl48KDOppMJCAjYuXNnamrqrFmzZs2aVW6bc+fO1a9fv0Ldfvzxxx9//DFzaR05cuTIkSNl22zbts3e3n7Dhg3KOpFIJLdv33Z3d2cGdJ04ceLEiRPq51CtLk6A6gwzygAAAAD8p3PnzuyqNM+fP3/48KF+8+Fx5coVlavk3L59m425hSza6M3R0ZGNb926xd+VtqmzfpC9vT0bX79+XWX7qKgoNm7RokXlEquGhELhwIEDe/XqxTwsKCh4+/ZthXpITExkYxcXF/7GOr42uJcl9wJWphIT6gAAAAAAAABA7WNqarpx48a///5b2Wrj9evXf/DgwfLly/n7adas2d69e/v166fxDCmK4i4SpExgYOCePXvKHQqos0Po16/fgwcPuPfiSmnSpElMTMywYcMqvYuK8vDwePLkCbtSUilmZma3b98utV6VOgQCwenTp3v27KmswY4dO1SeMkJIkyZN4uPjx40bx9Nm5syZo0ePLvcpvV+cADUCCmUAAAAA/mNoaDhp0iT24YoVK9g5S9WUnZ0dHx+v6bzKUVhY+OTJE54Gcrn88OHDTGxiYsK/WlDVezM3N2/dujUTHzx4sKSkhD9/jeNOgqLO3m1sbKytrZn4/PnzUqmUp7FMJjt+/DgTi0Si5s2bVyHT6qhr165srM5CVFzcfyPchZzKbVl27WStsra2Zme4OXLkCP/CT3FxcdnZ2TrJCwAAAAAAAAD0YMSIESkpKZcuXdq4caOvr6+Xl1fz5s0tLCwoimJu+PTt2zcwMPDatWsZGRm+vr78NzoMDQ3nzJlTUFBw/PjxyZMne3h4iMViiqLs7e379++/cuXK+/fvP3v2zNvbW1m1TRW1aNFi27ZtOTk5hw8fZhbCNjAwMDQ0dHFx8fb23rt3b05OzqJFi3hmDtbZIbi6ur548eLatWszZsxg9iISidzc3KZOnXr58uX4+Pi2bdtWpf9KsLCw+Pfff//888+pU6e2atXK0NDQzMxs0KBBe/bsSUtL8/DwqFy3JiYmf/311/Xr1319fVu2bElRlKmpaY8ePX799df09PQxY8ao2Y9EIgkNDU1NTd24ceOwYcMaNWpkYGBgaWnZp0+ftWvXpqamrlq1SiwWK3u53i9OgOoPlz4AAADA//jss8/Onz//+PFjQkhmZub8+fOXLFnC86mD6969e4sXL160aJGWc3wnODj4999/V/ZZNyIiIi8vj4mHDRumcg2pqvc2evToefPmEUIKCwu3bNkyefJkNQ9EI7jniLtKFI/hw4cHBwcTQmia3rt3L894jiNHjrDlIAMGDKjQykQ1AncWmXr16lXotWy9ESEkPj6erZcqKzQ0VPcVVMOHD9+0aRMhpKCg4OzZs3379i23GU3TPHPeAgAAAAAAAEAtIBAIbG1tbW1tP/nkE031aWxs/NVXXzFLC1XItm3btm3bprJZv379+OdONjU1HTRo0KBBgyqaAKvSh1AhFEV16dKlS5cuFX2hUChUZ/boyqXk5eXl5eVVoVfxrNbE6ty5c+fOnZU96+XlpeYR2djY+Pr6+vr6VihDlm7OLEANVdtu8QMAAABUkUAgCAwMNDc3Zx7GxsaOHz8+NjaW/1W5ublr166dP38+/8QkmvXq1at169YpFIqyT8XExDAlIIQQIyMjdabQrHpvbdq06d69OxOfOXMmNDSUfwIPQkh6evoff/yRn5+vMj2VhEKhiYkJE0dHR6vzEi8vL3a6kaNHjyqb7OTy5cu7d+9mYiMjI11OA1t1Bw8evHfvHv+JKCws/OOPP5hYLBZzC1/U4eDgwMbr168vtxSGpukDBw6cOXOmQj1rRK9evSQSCROHhITcuXOnbBumSiYuLk63qQEAAAAAgBaJGzi2X36hXrPyl9UAAAAAgLoMhTIAAAAApUkkkvXr1zdo0IB5mJubO2vWLD8/vytXriQnJ8tkMma7XC7Pzs6+c+fOypUrv/3224iICF0myQwFuHDhwvfff//gwYPi4mJCiEKhSE1N3bx584IFC9iWs2fPFolEuult+vTpjRo1YuKjR4+OGjXq1KlTycnJTIdMn/n5+a9evTp79uyMGTN8fHzCwsLKrc6pBE9PTyZ4/PjxiRMncnNz+QdnGBgYcA8tODh46dKlr169Yko95HJ5YmLi6tWrV61axbaZO3eumtMLVRPPnj2bP3/+8OHDN2/eHBMT8/btW+4FnJmZeenSpYkTJ2ZmZjIbfX19VU4+VIqpqWm3bt2YOCEhwc/PLyYmhq0YKygoiImJmTlz5p49ewghQ4cO1cyBqU0oFDITHTEWLVq0cePG5ORk5qorLi5+9OjRzJkzmTKpAQMG6Dg9AAAAAAAAAAAAANAxLL0EAAAAUA5zc/Pg4ODg4OC//vqL2ZKQkLBy5Ur+V1EUNW7cOJ6lZzSoc+fOrVu3XrFixfPnz7l1AKWMHz/+o48+0llvRkZGv//+++LFi+/du0cIycvLCwkJUbl3TRk4cOCJEyeYeMuWLVu2bCGEUBTFVn6EhYWVWnbXyckpKCgoKCiIKZuIjIyMjIxU1v/333/foUMHbWWvTcXFxSdPnjx58iR/s969e3/66aeV6N/f3z8mJoZZnOvNmzfc8iMuPz8/d3f3Q4cOVWIXVeHu7j558uSNGzcyD8+cOVPu3Db+/v6Ojo7Hjh3TbXYAAAAAAAAAAAAAoFOYUQYAAACgfCKR6Lvvvlu7dq2Hh4fKxkKhcOTIkfv37x8wYABF6ehXrO7duwcGBiqb38XY2Hjx4sXqz5Chqd7EYvGSJUt+/PFHdvkqZQQCQa9evdatW2dqaqpmkvxsbGzmzJlTakIUhUIhf6/cV3l4eGzfvt3FxYWnZ3t7+82bN/fs2VMjeVZDpqamAQEBU6ZMqeh0MgyJRLJx40ZnZ2dlDcRicWBgYO/evauQY5V88cUXP//8M7s4VylCoXD+/Pmff/65jrMCAAAAAAAAAAAAAN3DjDIAAAAAfBwdHYOCgnJzcx89enTv3r0nT56kpKRkZWUZGhpaWVm1bNmyefPmbm5uzZs3NzAw0H167du337NnT2Rk5D///PP48eOsrCwzMzMPD49OnTp17ty5oilpqjeBQNCxY8ddu3bFx8dHR0c/ffo0NjY2KyuLEGJra9u0adMWLVq0bdvW2dnZ0NCwwsfMq1u3bvv3779x40Z0dPTLly+Tk5OZdZT4WVparlixIjU19erVqw8fPnz06FFeXp5EImnVqpWrq2vXrl3t7Ow0m6fOzJ49Oy0tLT4+/uXLly9evHjz5k1aWlphYaFCoTA3N7e3t3d1dfXw8HB2dq5igZe5ufnKlSufPn166dKl+/fvJyQkEEJsbW1dXV27dOni4eGh8XNdUW3atNm9e3d0dPSNGzfu3LmTlZVlYWHRsmXL7t27d+7cuWatqAUAAABQmwgtLMTOLfjbUObWxEJICc0NKfzaVu1x1r+1lhi6NNDMuAio/uRyOU3TFEXpbPhQLdPAVCw0qMzYFa5KDX6pAQwoQYXeHIqqpW8EAABojoCmadWtAAAAAKAaSE5OnjhxIhMvXbrUzc2t+vQGAMpMmjTp1q1bU6ZM8fHx0Xcu1VdeXp5UKjUyMtLUFFNQ/eXn5xcWFjIxRVH169fXbz6gM8XFxTk5OQKBwMrKSt+5gI7IZLLs7Gz2oYWFRanVMKEWS09PJ4SYm5vrvWwadMbExKSgoICJf/zxx8WLF+s3H9CZnJyc4uJiY2NjZXN5gi7NPHz30tN0fWdRVfN6tRrq0UTfWUA5aJpmvl+ucYVx48ePDw0NJYTs3bvX29tb3+nUJOxJZ9S4Uw9VoVAoSPU46fn5+Z988gkh5ODBg82bN69ib/o/HgAAAAAAAAAAAAAAAAAAAO3Ztm0bU/CBKhkAwOgNAAAAAAD9KygoePjw4f3798td3uuDDz5o1qxZdSjbr4akUil7d8Pf39/T01O/+QAAAAAAAAAAAABAdYZCGQAAAAAAfUpISNi5c2dUVFSp7SUlJYmJiYmJiX/99RchxMjIaPjw4f369ROLxfpIs1qTy+VMwEwECgAAAABQ6xW9iE/4Yan67WlTkwc/DIhOy1bdtGpk9H+/k188E1eYekTbe9QGc2uTaHssCVoxCoWCpmmKogQCgb5zqZH6fdBwWJWXGTIRCUXCWjjGhqaLaSLXdxY1AyWTE876OOpTKKjiXBl/G7GtRaWSAgCojlAoAwAAAACgHzKZbOPGjREREeo0Lioq2rVr1549eyZMmPDll1/iziMAAAAAQF1Gl5QUJ6VU4AUW9QpKitOleVrL6B2a8wVtQX5xWorW96gNNCV4bYZvT0Cnsgtl8ioP/ahMfUSNUasPToNoReUKZQgRKOSoRgKAOgS/6gEAAAAA6EFubm5AQEBSUhK7pWHDhiNGjHB2dra2tjYyMiKElJSUZGdnx8XFnT9//ubNm4QQuVweEhLi6OjYpk0bvaWuTTk5OWPGjGHigICArl276jcfAAAAAAAAAAAAAKhlUCgDAAAAAKBrhYWF06ZNy8jIYB5KJJIff/yxTZs2peaJMTQ0tLa2tra27ty5c2Zm5tatW69cuaKPfHWKXUeJruQQKAAAAAAAAAAAAAAApVAoAwAAAACgUzRNL1myhK2Sad68+bJlyyQSCf+rLC0tAwICvLy8li5dqv0caxKxWHz8+HF9ZwEAAAAAAAAAAAAANQOl7wQAAAAAAOqWy5cv37t3j4nNzMyWL1+uskqG5eHhsWXLFhMTE61lBwAAAAAAUBtk577efWJcakasvhMBAAAAgGoHM8oAAAAA1BgNGzbU4MwZmu0N1FRSUhIcHMw+nD17tlgsrlAPlpaWlpaWms4LAAAAAACgVqEJUSjkhGBFVwAAAAAoDYUyAAAAAAC6ExkZKZVKmdjR0dHNzU17+5LL5ffu3fvnn38ePnyYmppaUlLi6upa7spNaWlp//zzz6NHjx4/fpyfny8Wi52dnV1dXbt27dq4cWP190jTdHx8/N27dx8+fPjs2bO3b98KhUI7O7uWLVt26NChbdu2IpFIc8dXYdU8PQAAAAAAAAAAAADQARTKAAAAAADozrFjx9h4xIgRAoFAI92mpKT4+voy8U8//eTm5hYbG/vTTz/l5ORwm8lkslIvzM7OXrFiBbsUFKO4uPjmzZs3b97ctWtX8+bNf/jhB1tbW/4E8vPz//zzz0OHDpXaY3FxcWxsbGxs7KlTpwQCwZQpU3r16lXuUU+ZMuXNmzc0/d9wzxUrVlBUOWvFhoWFCYX/fZCRSqXe3t5M7O/v7+npqY30AAAAAAAAAAAAAKB2KOe+MwAAAAAAaENxcfHjx4/ZhxqcToamafl7hJCbN2/OmjWrVFFIWffu3Rs7dmypKplSnj9/PmHChH/++Ye/q9mzZ4eGhvLvkabp4ODgoKAghUJR9lkmee5T3IPiUvbaUi/XbHoAAAAAAAAAAAAAUDtgRhkAAAAAAB1JSkpiY0tLS1NTU23s5datW0eOHCGEODk5jR071snJydjYmKbp1NRUbr3Ly5cv58+fzz50d3cfPXq0g4ODoaFhSUnJ69ev9+zZExkZyTz7yy+/LF682N3dnX/XDg4OX331VevWra2srIyNjQkhcrk8MzMzKipq586dzJpTt2/f3rNnz6hRozR+4CpV8/QAAAAAAAAAAAAAQAdQKAMAAAAAoCOJiYls3KJFCy3t5fDhw4SQgQMHjhs3jl1FSCAQNGzYcMiQIcxDuVweFBTEvmTcuHGDBg1iHxoaGjo6Os6fP//8+fPr169nNi5dunT37t0ikajcnXbo0GHevHl2dnaltguFQhsbm759+3p5eS1cuPDRo0eEkLCwsH79+llaWnJbhoSEEEKysrJGjx7NbAkICOjRo0cl3wVNpwcAAAAAAABQU3zZppFbY3N9Z1FVbo3N9J0CAADUWiiUAQAAAADQkbS0NDa2t7fX3o7c3d25VTJlXbx4MSMjg4l79+7NrZLh6tWrV0pKSlhYGCFEKpWGh4d7e3uX29LHx4c/JSMjo0WLFo0ZM6aoqIgQcvbs2XK7oiiq3LiKNJVeWQqFIi8vj78NTdPM30wA/PAu1Vk49XUHe65x0uuOUuca/yfWQTjp2oC3FAB4fNbKRt8pAAAAqFah32k1+wswCmUAAAAAAHQkOzubja2srLS3I19fX54qGULI/v372XjcuHE8LYcPH37kyJGSkhJCSHh4+PDhwytdvyKRSAYPHrxv3z5SkUoUnalcei9fvvz666/52zCzBxUWFrLFSaBMUVERU6sEdY1CocA/kLqGpmmc9DqL+xsR1BE5OTn6TqEWKqngPyWapmUymZaSqX3kcoW+UwAA0C01vn5WKEr/bCy7BeoInPo6SBsnXaFQZGVlqd++oKBAg8lobIwmAAAAAADw496YFgq1VbNua2vbpEkTngbp6ens3Daenp4SiYSnsUgk6t+/PxMXFxe/fPmyKrl5eHgwQWZmplQqrUpX2lDN0wMAAAAAAADgoVDQMnkl/5QoaELk1fMPZtACAACNQ6EMAAAAAICOGBoasjEzR4s29OjRg79BfHw8G3fv3l1lh507d2bjuLi4SidGCDE3/2+J9Go4mryapwcAAAAAAADAg6IEhgaV/COkBIQYVM8/fFPmAgAAVAqWXgIAAAAA0BEzMzM2zszM1NJemjZtyt/g9evXbNy4cWOVHTZs2JCNX716xdOSpumEhIT79+8/ePDg9evXycnJpZbR4c6KmZOT06BBA5V716Bqnh4AAAAAAAAAAAAA6AAKZQAAAAAAdMTGxoaNudO6aJalpSV/gzdv3rAxt3ZHGRMTEzbmFtmUEh0dHRISkpqaqkaOhBBSXFysZkuN0FJ6NjY2ixYt4m8THh5OCBGJRPXq1VNz73VQUVGRTCYTCoVisVjfuYCOMCediQUCAfdHDdRuJSUlzPJ2+KlYd8jl8sLCQvahRCKhKMxyXVfk5eURQoyNjQ0MDPSdS21TLJG8rUh7gUCAs6A+isIEFlCzXXj9JD6vQj8kqqMuDZq7WGAEi64IVP/cE3Da0DRdagvUesxJZ+DU1yna+/dOUVSF7gywOWgkGRTKAAAAAADoSJMmTdj42bNnWtqLUKjil3z2m2l1GhNCuF9llZqChbV58+aTJ0+ql6AeaC89U1PTr776ir8Ns2uUgPArKSmRyWQGBgZ4l+oOuVzOLZTBqa87iouLpVIpTnqdIpPJuIUyIpFInd9AoHZgCmVEIhF3EVLQDJGooq9AjZr68P0f1HRPslNiMhL1nUVVtTCzRqFMtcL+bGQLJvDTsu7gVskQnPo6RnuFMhW9MyCXy9kXVn3v+FAKAAAAAKAj3HWOMjIycnNzTU1NdZ8G91sK9tMFD+6CREZGRmUbXLp0iS1DoSiqX79+Xbp0ady4sYmJiVAoFAgE7EeXpKQkX1/fKmVfcdU8p2fYcAAAIABJREFUPQAAAAAAAAAAAADQJRTKAAAAAADoiFgsdnJyiouLYx4+ePCgc+fOuk+jQYP/xmPl5uaqXO4kPz+fjbm1Pgy5XB4SEsLEZmZm69at41n7SZ26HM2q5ukBAAAAAAAAAAAAgI5hrkUAAAAAAN0ZNGgQG+/fv7/UtKW6YWdnx8ZJSUkq26ekpLCxg4NDqWeTkpLYSppp06bxlKGU6ko3qnl6AAAAAAAAAAAAAKBjKJQBAAAAANCdzp07s6sXPX/+/OHDh7rPwd7eno2vX7+usn1UVBQbt2jRotSziYn/rXru4uLC39WtW7fUSpEQUmbx48rRXnoAAAAAAAAAAAAAUBOhUAYAAAAAQHcMDQ0nTZrEPlyxYkVRUVGFesjOzo6Pj69KDjY2NtbW1kx8/vx5qVTK01gmkx0/fpyJRSJR8+bNSzXg5m9gYMDTVVFR0blz5/hzo6j/PqGUlJTwN1aHZtMDAAAAAAAAAAAAgJoOhTIAAAAAADr12WefsVObZGZmzp8/n79UhevevXv/93//l5ubW8Uchg8fzgQ0Te/du5en5ZEjR9hakwEDBnALWRhszQ0hhL+CJzQ0VGXti1gsZuO0tDT+xurQbHoAAAAAAAAAAAAAUNOhUAYAAAAAQKcEAkFgYKC5uTnzMDY2dvz48bGxsfyvys3NXbt2bYWqanh4eXlZWloy8dGjR5XNpHL58uXdu3czsZGR0bBhw8q2cXBwYOP169eXW2tC0/SBAwfOnDmjMjGhUGhiYsLE0dHRKturpNn0AAAAAAAAAAAAAKCmQ6EMAAAAAICuSSSS9evXN2jQgHmYm5s7a9YsPz+/K1euJCcny2QyZrtcLs/Ozr5z587KlSu//fbbiIgITSVgYGCwYMEC9mFwcPDSpUtfvXrF1JHI5fLExMTVq1evWrWKbTN37lzudC8sU1PTbt26MXFCQoKfn19MTAxbzVNQUBATEzNz5sw9e/YQQoYOHaoyN09PTyZ4/PjxiRMncnNzaZqu5HFqIT0AAAAAAKgRLEybjB6wy9aqlb4TAQAAAIBqR6jvBAAAAAAA6iJzc/Pg4ODg4OC//vqL2ZKQkLBy5Ur+V1EUNW7cuNatW1c9AScnp6CgoKCgIIVCQQiJjIyMjIxU1vj777/v0KGDsmf9/f1jYmLy8vIIIW/evOGW4HD5+fm5u7sfOnSIP7GBAweeOHGCibds2bJlyxZCCEVRAoGA2RgWFiYUVuCDjGbTAwAAAAAAAAAAAIAaDTPKAAAAAADoh0gk+u6779auXevh4aGysVAoHDly5P79+wcMGEBRmvk13sPDY/v27S4uLjxt7O3tN2/e3LNnT542Eolk48aNzs7OyhqIxeLAwMDevXurk5WNjc2cOXPYshiGQqGQv6dOJ9pLDwAAAAAAAAAAAABqNMwoAwAAAACgT46OjkFBQbm5uY8ePbp3796TJ09SUlKysrIMDQ2trKxatmzZvHlzNze35s2bGxgYaHzvlpaWK1asSE1NvXr16sOHDx89epSXlyeRSFq1auXq6tq1a1c7Ozt1+jE3N1+5cuXTp08vXbp0//79hIQEQoitra2rq2uXLl08PDwMDQ3Vz6pbt2779++/ceNGdHT0y5cvk5OTmTWhKk2z6QEAAAAAAAAAAABAzSWgaVrfOQAAAAAAANRakyZNunXr1pQpU3x8fPSdS/WVl5cnlUqNjIxMTU31nQvoSH5+fmFhIRNTFFW/fn395gM6U1xcnJOTIxAIrKys9J0L6IhMJsvOzmYfWlhYVGgVRajR0tPTCSHm5uaoS9Y4uqi4OCm5Au0pQUEDM6lCexm942TTuLCggImnTwsImPmD1nepBbRAUGSMn1QVk5eXJ5PJxGKxsbGxvnOpkcyNDS2Nq/qjkhK8m551w8PLMRmJGkhLr751+ujjRi0JIYTQhODbTPVU9mtfmia0qv8jKKHB+8Y08/2ypuY8huqPPekMnPo6RaFQkOpx0vPz8z/55BNCyMGDB5s3b17F3vCrHgAAAAAAAAAAAABATSIwEhk1s6/QS8RaSuV/cZdQNTUzamJvoZPdgv7liOTFxQbGxsYmJib6zgVqH8H//nQB5Sr7PgkERKD/L8EBAHQHP/MAAAAAAAAAAAAAAAAAAAAAoE7AjDIAAAAAUL2kpqbeuXPn4cOHz549S01NVSgU5ubmTZs2dXR0dHV1bdWqlbm5uc6SkUql3t7eTOzv7+/p6amzXYOacI4AAAAAaqjUf+4nRdzWdxY1W6NmEkpRUna7eICToJ7SWQUuP62fmKmtlEoU/63LEPsw7ej+u9raE1QzRUVFcrlcKBSKRCJ951IjNXe2dm5tU+5TAqFAzWHvhpQBJaiFM6+UKOTyyq4oBNpAE5pZC0ugcrmm2sJAxT8sWqiQq+6FMiAUFqMEqC5QKAMAAAAA1cXz58/Xr18fFxdXantaWlpaWtrt27cPHz5MCLG3t+/fv3/37t0lEokOspLL333QZVZjrdG8vb2lUikTh4eHV4eVZTWiNp0jAAAAgLoj5Z8Hd4J26juLmk0ytEVJSmrZ7dYDhstlOcpe9ecj98txBVpKqVShzJH9MVraEUAt83lfF/tmluU+JRRTcgO1Pu1SAgElMNBoXtVCsUIuU6cKAUBrjAwEhCit1hIQgbCkSHUvBoYolAGoPmrJnXEAAAAAqNFomt63b9+MGTPKVsmUFR8fv379+smTJ+sgsVpGzqHvXAAAAAAAAAAAAAAA9AAzygAAAACA/p08eXLfvn3sQzc3tyFDhrRo0aJevXoURSkUipycnPj4+EuXLl24cEGPeepATk7OmDFjmDggIKBr1676zQcAAAAAAAAAAKAqgn9fGzh/ASFkfuDCGbNm6jud6iUwMHDZsmWEkLVr1/r6+uo7HYC6AjPKAAAAAICepaSkbNmyhX0YGBi4dOnS9u3bm5ubGxgYCAQCAwMDS0tLd3f36dOnHzx4cNSoUbVmzaBysZO+0FiBGwAAAAAAAABAc86dOWtTz5z9s33LNv72CoWCbRwdGaWlrJYvXsrsImTDRi3tQr8UCoVMJpPJZFg1uyy5XM68OdV2BujAwEAjIyOxWLx+/Xp95wKgMZhRBgAAAAD0LCwsjI2nTp3avn17nsZisXjYsGF9+/Y9ePCg9lMjYrH4+PHjOtgRVBrOEQAAAAAAlJWd+/rEpR97dZ1na+Ws71wAoBqhaVomk7EP580KGPGtt7FEwvMStr32RjQxpRKEEBp1JFD9sNcn6pygNqnNI3EBAAAAoPqjaToiIoKJKYr67LPP1HmVRCIZO3asFtMCAAAAAACAmowmRKGQE4J5OgGAj1QqXfvbGn1nAQAAuoZCGQAAAADQp5ycHHYsQuvWrQ0MDPSbDwAAAAAAAAAA1B2/LFmWlZml7ywAAECnsPQSAAAAAOhTYWEhG5uZmWm2c5qm4+Pj7969+/Dhw2fPnr19+1YoFNrZ2bVs2bJDhw5t27YViUSa3SN31/fv3798+fLdu3czMjKMjY1btWr10Ucf9ejRQ8I7nW9dplAonjx58u+//z5+/PjZs2dSqdTU1NTJyaldu3adOnWytrauYv96vB4AAAAAAAAAoFqhKOqDtm53/41RKBRLAgNX/Y55ZQAA6hAUygAAAACAPgmF//1G+vLlS011m5+f/+effx46dCgnJ4e7vbi4ODY2NjY29tSpUwKBYMqUKb169RIIBMr6kUql3t7eTOzv7+/p6Vm2TUpKiq+vLxP/9NNPbm5uycnJCxcuTE5O5u43KioqKipqw4YNM2fO/Pjjj8v2M2XKlDdv3nCXu16xYgVFlTMHZFhYGPd905krV678+uuvTLxnzx7+ip979+4tXLiQiTdv3mxjY8PTmFmBa+vWrdzCKUJIRkZGRkZGZGRkSEjIhx9+OHHixIYNG5Z6rTrnSFPXAwAAAAAAAADUDgYGBus2bfykc1dCyNZNm2fOmd2ocWN9JwUAADqCpZcAAAAAQJ/Mzc3Z+M2bN2lpaRrpdvbs2aGhoaWqIkqhaTo4ODgoKIhd+6lc8veUNaNpmm1DCImLi5s0aRK3SqZU41WrVp05c0bZjrh74fbMxZOtVpU6UpXYxtzqn7Ly8/Nnzpy5bt26UlUypdy8eXPixIn8O1J2jjR4PQAAAAAAAABA7eDu0c7Ty4uJZ383s+odxj19un7N78MHDm5p59DQvL5bS5dx347avWNndlZ2ue1pmrapZ25Tz3zlz8uZLXNnBjBbuH/eJCWxL3Ft3pLZ+PzZM55MFs6bzzTb98fuchtMn+LHNDgcdojZkp2VvXnjpi+9ejk0aGRTz3zsNyOrfoAaVCphmqZvXLv+45x5XTt81MjSukWTpmO/GXns8JGSkhL1OyHqHTVN07du3vph7vweXT62tWxgbW7TtWO32bPmREVGqXkTqbBQum3HH30HDLa0tDQzM+vUqdOCBQvu3r2rzmubNm0qEolEIlFcXBxPs9mzZzPNdu7cqbLP7Ozs3bt3jxs3zsXFxcTEpH79+n379t2wYcPbt2+5zWiaZvpcsmQJs+W7774Ti8VisVjE8fr161L9x8bGLl++3MvLq3HjxkZGRmZmZs7Ozn379g0MDPz777/z8/PVOXAAbcOMMgAAAACgT4aGhi4uLo8fP2YeLl68+OeffzYxMdFI5w4ODl999VXr1q2trKyMjY0JIXK5PDMzMyoqaufOnVKplBBy+/btPXv2jBo1SiN7vH//flhYGE3TLi4uo0ePbt68ubGxMU3T6enpYWFh586dY5pt3LixS5cuFhYWGtlpjVZYWOjv75+ens48FIvFX3/9dffu3a2srIRCIU3Tubm58fHxf/7556VLl6q4L91fDwAAAAAAAABQna1et8aj9QeEkBNHjz15/LiVi0slOqFp+mLEhQVz5z28/4C7PSE+PiE+/sih8KmTJi9evsxv+rSyMwfLZDKVW7gDkOQlJUwD/lFJcrmcaaZssJNcrmAaMKUeRw6Fjx81hlv2UVxcrJED1BRuwnm5uQO+6Hsr+ib7bGFBwdHww0fDD9e3qn/6wp8urVur7ISoOmpG3NOnQ78a+PLFC+7GO7fv3Ll9Z92adU3tmx47edTV1ZUn8wt//f3lwGHcnplpp5csWTJ48OD9+/fzH3iJhs44o6ioaO7cuWvW/M9CYwUFBadPnz59+rSfn98PP/ywcOFCIyMj5qmKXp85OTlDhgyJiIjgNiguLs7NzX369Onp06eDgoIaNmz45s0bniQBdAOFMgAAAACgZ9988w27Rs/Lly9Hjhw5ePBgT0/Pxo0bV3oRnA4dOsybN8/Ozq7UdqFQaGNj07dvXy8vr4ULFz569IgQEhYW1q9fP0tLy6ocBWPfvn2EkNGjRw8ZMoRNXiAQ2Nra+vn52dvbb9myhdkYHh4+fvx47mtDQkIIIVlZWaNHj2a2BAQE9OjRo+pZVWerV69mq2Tc3d3nzZvHXdFJIBCYm5u7ubm5ubmNHz9+7969lduLvq4HAAAAAAAAAKjOmjVvPvwb7wN79xFCZvj5n7nwZyU6iY6MGtKvP3+bBXN/iLnz75ad26vhis9Hww+P+7b0kCFu9UO1OsBHDx4umPsDd5YdrrcZbzu363D+7786du7E34/KoyaEXIyIGNyX78AT4hPat+0QfvTQ4N5e5TbYs//gyHHlT5BMCDl8+HDXrl3btWvHn6qmJCcnt2/fnr9IZdmyZQ4ODsomdeYnk8k6derEjocEqOZQKAMAAAAAetauXbsuXbpcv36deSiXy8PCwsLCwgwMDDp06ODm5ubs7GxnZ2dqaqp+nz4+PvwNjIyMFi1aNGbMmKKiIkLI2bNnvb29K30IXJ6enkOHDi33qX79+h09epRZXurcuXM+Pj5l7x1wR95obxRONXH//v2oqCgmdnJyCgwMNDAwUNbY3Nx88uTJlduR9q6H5OTk5cuX87fJy8sjhBQVFfGv/VTHMXMjy2QyvEt1B3eUG03TOPV1BzNeEye9Tin1fUN+fn41/H4ItKqgoKDck85M6QdVoWzFB4WcbyWIEv0t5woAlcE3iwRowOJffmYKZa5f/Sc6MuqjTh0r10+DBg2+nzv70888mzRpIjExIYTk5+Xdv3svaOGi61f/IYQcOnDw62+8e/Xpzb5EIBBkFRUQQhYvDFz9ywpCyNIVy/2mT6v6Qanv2tWrO7dtJ4T8GLTom1EjGzRsqOzmTCUOUBuYN4pJeOSY0bYNGhBC0tPTD+7d9+OcecxT/Xt/ERv/0szcTFkn6hz168REbpXMsuVLvxn5jY2tDSEkLTVt35598+b8wDw1ZODQZw//bd7MsVQPz56/YKtkJBLjDevX9us/yNLSUi6XJyQkrFy5ctOmTTdv3rx5893UODRN80wbw/+symZSqZRbJfPZZ58tWLCgXbt2pqamNE1nZ2f/+++/v/zyy/nz57k9ML9p/Pjjj8uWLSOErFq16rvvviOElPrVjmm/d+9etkpm0aJF3t7ednZ2zKTOJSUleXl58fHxly9fPnPmjDoHAtWNNs6aQqGo0FJcBQUF7AurvncUygAAAACA/s2ePXvz5s1nzpzhbpTL5cxMpMxDa2vrXr16eXp62traamSnEolk8ODBzBwwGiyUKTVPDJdAIBg8eDAzc4xUKn379q2VlZVGdlpD7dmzh41nz57NUyWjA5W7HgoKCq5evcrfpkWLFoQQuVxedv5eKEWhUOBdqptomsapr4Nw0uussrO1Q62n7KTzLw0A6qCVfH/O/00Gvp0CAOCytbWdOmP6+jW/E0L8J02+fudmRYt6jY2Ndx/c/0W/vqXubNQzNe3crevpiPNLA39atfwXQsi0SZMfvXzGM25K9/dGQjdvNTAwuH77Zus2StcPqvoBatzfN665e/w3EQtzEr169+rWoaNcLpdKpcuCflr+6yplL1fnqP0nTWECkUgUeSvSpXUr9qkGDRvMmDmjz5d9OnXozHyuGeUz6erFs6UOfMJkfyawtrK6f/u6bcMmtFBMCDEwMHB0dAwODv7kk09K3YCqdKEM96lym/3www9slcyOHTu4y44LBAILC4uePXv27Nnz7t27iYmJpXpgj4u9AMrdBXNXjRCydevWcePGcZ8SCoUWFhYWFhZt27adOnUqfhWpibRx1ip6O0iztxFq+RBVAAAAAKgRDAwMJk+evHbtWg8PD2Vt0tPT9+7dO2HChJ9++klTY9DZ3WVmZmpkPKuHhwf/zDetOWskv337tup7rLlyc3MfPHi3srWHh0fDhg31mw/RwvUAAAAAAAAAANXfnPnzmAqAx48eRZyv8OpLbu5t+w3or6zGRSAQ/LBogYOjIyEkOTn51cuXVcpVC35bv46nXoRUvwP85bfV3CoZlkvr1ms3BjPxpuANBbwzVfAfdUJ8/MWICCYO2b7NpbVLebtzCd25jYmv3Yh8GveM++zLV/GXLr8bW3U0bE+D8gb+ff3112PHjuVJUlOysrLWrFnDxIGBgdwqmVLatm375ZdfVm4vL9+f+s8//7xyPQDoEgplAAAAAKC6cHR0DAoK+uOPP2bNmtWxY0dlH79v3rw5evTohw8fVn2P5ubmbJydnV31Dj/66CP195iVlVX1PdZcLzn3TarJ52eNXw8AAAAAAAAAUP2ZmpktWvITE0/znaLxOc8oiprs78fEN65d12znVURR1IiR31S9E10e4Bifccqe+vobb5FIxMTXlWei8qhPnzzFBBaWFgMGD1LWbNCQQfWt6jNx+NHj3KdOnj7LBK2cW3br0llZD0FBQTxpaMqJEyeYQCQSzZkzR0t7admyJRNcvHhRS7sA0CAsvQQAAAAA1Yu5ufnHH3/88ccf0zSdm5ublJT04MGDiIiI169fs20UCsXcuXO3bNnSoEEDnq5omk5ISLh///6DBw9ev36dnJxcVFTEbcBdzTQnJ4e/N3WonBaF/axO6vySE/Hx8Wzs6Oiogz1q43oQi8Uffvghf5vc3FxCCEVRhoaGlUq8TpDL5QqFgqIo/a7ABbrEnHQmFggEQiFuUNQVCoWC+eIBPxXrDpqmS0pK2IdCoVAHs/FDNcEsuqTspOP//aoTEEH5k+Dz/ivDv0EAgLImTpm8fMmygvz8N0lJYfsPjPi2qrUjpTg5OzPB0yexmu25ivr0/ZJ7t6rSdHaAvb/oIxaLlT1raGg4YPCgsP0HCCE3/rn22ede5TZTedRXLv3NBN+MGsUujFUWRVFjxo35bdVvhJALf/09L+B79qmIvy4xwfix/7PIUakemjZt2qhRI3ZRJJ7/owUCAf+zPHs5f/48E/j4+BgZGSnrRJ3OeTaOGzfu5MmTTHD//v1Ro0a1adMGv+/VdNwVlzT+O6RAIKjQnQHN3kbAfSgAAAAAqKYEAoGZmZmZmZmLi8uQIUOSk5M3bdp0+/ZttsHPP//MzhpaVnR0dEhISGpqqpq700jZSiU+atZZSUlJbMydykVLtHQ9NG7ceNOmTfxtJk2aRAgRi8U6OMyaKy8vTyqVGhoa8i9eBrVJfn5+YWEhEwsEAvwDqTuKi4tzcnJw0usUmUzGnaqtXr16qI2rO9LT0wkhJiYm5d7U5vmWC9REUZSivO0GBhTPZAhCfGUFULOgtk0nxGLxil9XTZ00mRAya/p3g4YOqehNHrlcHh0ZdenCxagbkU9jY9NSU7kz07DxyxcvNJh21X3YUcXsyKxqcoAdlc/OwviwU0emUObe3btK26g66ts3b6nZ8qOP3g2ginr/Esat2/8yQbu2bkwgEJRfydq9e/ewsDCiRimMOmUK5Ta7fv3d5Do9evTQSK1DucVDAwcO7NWrF1OUs3r16tWrVzN77NOnz6efftq+fXvcOK2JBAIBM8yJp2Ks0gwMDCp0Z4D9IKmRZPChFAAAAABqhoYNGwYGBu7cuTM8PJzZ8vz586SkpMaNG5dtvHnzZmYEA1Rb3EoUbU8qgOsBAAAAAAAAAPiNGPlt0I8L09LS8nJzt24K8Zs+Tf3Xnjx23G/ipOws1es45+fnVyFHzSv3xlpZ1ecAmzRpomaDJM7s1KWoPGr2tSpnj27UuBET5ObmMXPlMg8TX78bIWZrY8PfQ7NmzfgbVN2L99VLdnZ22tsLRVFnzpzZuXNnQEBARkYGs/HKlStXrlxhYh8fn6CgIK3mAKA+FMoAAAAAQE0yatSoixcvZmZmMg8fPnxY9pPtpUuX2KoIiqL69evXpUuXxo0bm5iYMLO+syMnkpKSfH19dZY8cHFnuJXJZNobT4zrAQAAAAAAAABUEgqFazdt8B4yjBASOH/BGJ9x9dSb9HTzxk2zZ3yvup0OcVdL4SdUY/BSNTxAdfC8Ceocdc2i/hnXKoqixo0bN2bMmMePH1+8ePHMmTPnzp1jZxsKDQ0NDQ3dtm2bj4+PfvMEIIRofoYcAAAAAADtoSjqyy+/ZB++KDObq1wuDwkJYWIzM7Pt27dPmDChTZs2lpaWIpGIoiju/KLcGWKhQlR+/Fb53nIrnHJycjSQk5I0cD0AAAAAAAAAgDp6f/lFCycnQohMJlu1fIU6L0l+84YtImnh5LRl5/Y7j+7Hpyan5+dkSvOzigqYP4dOHNNsqvx3ZjR4p0VfB6gMdy1v/gZqTpZTrkbvX5uSksLfMvlNMhOYmEi4y8E0eT/TTFp6On8PL1++VCcl/jPOXeq0LAcHByZ4rXyWHQ2iKMrV1XXq1KmnTp0qLi5++vTpsmXLLC0tmWfHjx9/V/mqWAA6g0IZAAAAAKhhuPNzFhYWlno2KSmJneJ12rRp7Gewcqn8rAtcBgYGbKyypiRd1V0Ae3t7Nn716lVVEuOB6wEAAAAAAAAA1ERR1PqQjUy8ZtXq9DQVNzcIIWH7DzBBu/YeN/69NWzE8GbNm5uZmzGz2LLN0tPSNJKhmbk5E+Tm5PI0i7lzRyO7Izo/QJWiI6P4G9yOvskEbu7uld6LR4f2THDn1m3+ljdv3mKCjh924G7v0L4dE8Tcu8/fwz///MPzrPn7M85f/HT7Nl+eXbt2ZYJr167xJ6NxFEU5OTnNmzfvzZs3HTt2ZDYuX75cx2kAlIVCGQAAAACoYfLy8tiY/azISkxMZGMXFxf+rm7duqXBxDSumkyayjIzM2Pj3Fy+2zGEkPv3VdwFcHR0ZOOIiIgq5MWnNl0PAAAAAAAAAKBtXbp369i5ExMv/GG+yvbXrr6rcpgz/wdD5Qv6nD11mqcTtuJE5cAkJ+eWTPAsLk5Zm9ycnHsxGpuxQyMHqEHnTp8pKipS9mxJScnR8MNM3LFL50rv5eOenzDBnl27FAqFsmYKhWLXjl1M/Nmnn3Cf+ux9D6E7d/PsKCkpiX+Wl1atWjHB06dPlbXJycn5999/eTrp3bs3E2zdulUmk/G0LJf61ycPIyOjZcuWMfHZs2cr3Q+ApqBQBgAAAABqmOjoaDZ2dnYu9Sz3ozJ3BpSyioqKzp07p9ncqo47R2tJSYkeMynL2tqajcsuesVVXFx86dIl/t5MTU3ZypWbN29qaTaXmn49AAAAAAAAAICOrQlezwR7d/0R++QJf2N2ZhcjsZGyNq8TE9nqjXKZmb8bm/Q24y3/7tiZTvbv3qOszYZ16/k7qRCNHKAGKRSKPTv/UPbs4bBDUqmUibt261rpvXz5VT8myEjPOHf6jLJmp0+dSUt9N5XO0EEDuE/1+7IPEzx89Djy/SQ3ZQUFBfFn8uGHHzLBrl27lLVZs2YNfyf9+/dnAqlU+vvvv/M3LosdqZiRkVHR13KZmpoyATv9M4AeoVAGAAAAAPSpoKDg6NGj6g9lSEpKior6b4bVsnOEcIs54uPjeboKDQ2tbpUohBCxWMzGabqatFZNtra27AiS48eP87Q8cOAAz2gb1qhRo9h49erV6rykomr69QAAAAAAAAAAOub6QZs+fb9k4hlTpvI3bvNBGybY8Pu6cucGzs7trIhdAAAgAElEQVTK/qrXF/yd2DVtygRX/v6bv6VXr15MEHH+z4f3H5RtcPXy5Z9/WsLfSYVo5AA1a9b0GY8ePCy7/fmzZ1Mn+jKxz8QJ9d6XZVSCvYNDj0/eTQnjM2rMi+flDBh78fzFmG/HMHGnjz50bunEfbZ5M8du76e0GTjs24y35ZRAHT9+fPPmzfyZ9OnzruDm7Nmz9+7dK9vg0qVLixYt4u/E0tLS39+fiQMCAsLDw5W1fPToUdmBZOz66Tzj4hQKxbRp03hmx6Fpmq3R+fTTT/kTBtABFMoAAAAAgJ6FhoZ6e3uHh4cXFBTwt0xOTp49ezb7sEuXLpaWlqXaODg4sPH69evLLX2gafrAgQNnzigdDqJHQqHQxMSEiblz51QHBgYG3bt3Z+LHjx9HRkaW2+zixYthYWHqdOjm5sYOi3n8+PGSJUvYQT9l5efnb9u2rYIp1/jrAQAAAAAAKsfCtMnoAbtsrVrpOxEAqJFWrvmVCW5cu87fsv+ggUwQcf7PUcO9nzx+zIwHUygUKSkpWzdtbuXQ7PmzZxN8J/J00q69BxNE3Yg8HHaoUPktsnbtPRo3acLEPbt0O3b4CNNYLpcnxMfPnz233+d97Jo2HTR0iFrHqQaNHKBmKRSKLu0/XL/m9/S0dKZ2J/Nt5pZNIR9+4F5cXEwIMTQ0XKBqphaVNmwNYYLCggK31m4bgze9zXhL0zRN028z3m7aEOLWui17M3PXtk3s6DLW1o1rmSA5JaWZS9sDYYdycnIIITRNJyYmfv/99wMGDCCqdOjQwc7Ojok//PDDQ4cOFbw/469evZo5c+ann35qb2//9ddf8/ezfPlyW1tbJh46dGj//v2joqLYmV1yc3OvXbs2cOBAV1fXV69elc2BCa5fv37w4EFlt3DXrVtnZ2fn5eUVHh6ekJDATvNcWFh49+7dIUOG7N27l9kyY8YMlQcOoG0olAEAAAAA/SsuLt65c+eIESOWLFly9erV169fswUTNE0XFBQ8fvx4zZo1EydOZD5PEkJMTU2nT59etitTU9Nu3boxcUJCgp+fX0xMDNtbQUFBTEzMzJkz9+zZQwgZOnSo1o+t4jw9PZng8ePHJ06cyM3NLXe8jl5w54BZunTpvn37srKymPSKioqePn0aGBi4Zs0aAwODYcOGqdPhrFmz2Gqnmzdvjhs37sSJE+np6cyaxzRN5+fnP3nyJDg42Nvb+9ixYxVNuBZcDwAAAAAAAACgY03t7Uf7jFWnZdce3bv2eDes6OSx453c29vUM7cwktQ3rtfKvtms6TOkUun6kI39BvTn6cTB0dG51bvCPp+RoxtZWlsYSWzqmTN/3iQlsS0pitq84904ouLi4jHe3zKNrSSmbi1dgn9fKxKJzlz8ky2mqTqNHKAGTfv+OxsbG0LIj3PmOdnZW4pNLIwkzRo1CZj+HTtX8eFTxy3rlx5cV1FN7e33H3k384pcLv9++vdNGthJDE0khiZNGth9N+075uYVIWTP/j2lppNhuLRyDln/blGk3Ny8Ed+OMTc3FwgEFEU1bdr0t99+I4S0bdt27NixPGlQFPXHH++WmiouLh42bJiJiYlAIBAKhY6Ojr/++qtIJLp8+TJbTKOMRCK5ffu2lZUV8/DEiROdOnWqV6+eQCAQCARmZmbdunVTduetWbNm7Kze3t7epqamAoFA9F6pWWQuXLgwdOhQe3t7sVjMdC6RSNzd3Y8cOcI0GDFiRO/evfmzBdABob4TAAAAAAD4T1RUFHdlJWUsLS1XrVolkUjKfdbf3z8mJiYvL48Q8ubNmwULFpTbzM/Pz93d/dChQ1VJWBsGDhx44sQJJt6yZcuWLVsIIRRFsQNTwsLChMKq/iY/ePDgsiNdyjVy5MghQ96NQ2rYsKG3t/e+ffuYh/v27WNjruXLlxcXF6szr4xEIlm/fv3cuXMTEhIIIfn5+ewha0pNvx4AAAAAAAAAQPcClyzZFbpDZTOBQHDo2JGvBw65evlyuQ02bt3sPWrkpYsX+TvZdzisR8cuBe9n+CCEsCuVlxpA1f3jj3fs3e0zcnTZNawtLC3OXbrY9P1CORqhkQPUoLbt3GfOmf3FZ17lrjxlamZ26s9zbdu5a2Rffb784sa/t4Z+NTAxIaHcBo2bND568mhbNzciKyq3wcTxY+2aNO4/1JutquHq3bv3sWPHlixRsVRWz549Dx48OGLEiLJn3NLS8p9//uFOqMyjSZMm8fHxU6dO3b59u7I2M2fOHD16dKmNAoHg2LFj7du3z1d+fVIUFRcXt2zZstDQUJ4cAgMDFyxYoOY9SQCtwowyAAAAAKBPEokkNDTUx8eniXojXYyNjf/v//5v69atzNgRZX1u3LjR2dlZWQOxWBwYGFhtxy7Y2NjMmTOn1CdGhUIhf08je+F2yK/U7ZgRI0b4+voq69ba2jo4OLhVqwpMb25qarpu3TofHx/+6h93d/cNGzao3y2rpl8PAAAAAAAAAKB79a3qz5o7R52WEhOTk3+e/fPyJZ+JE1o4OVEUVc/UtEv3bstW/vI8KdF71Eh1Omnh5PT8dfzGrZu//KpfU3t7iuL7DnfgkMFxifGBSxd36tJZJBIZSyRde3QP3rzp8cvnrd7P/KFBGjlADTK3ML8aHXn0zMmJk31bOjsbGhqampn1G9B/y87tz17Ha6pKhuHSuvXd2EeXrl6aOn2qezt3sVgsEok++KDNZD/fiEt/Pn0R6+b2AX8PX/bplZ2SsHHtr70+/0wikYhEIg8Pj4CAgMjIyLNnzxoZGamTxrBhw1JTU5cvX961a1eRSCSR/D979x3X1PX+AfzcJGSALEFkKe5ZRaXu0TqqVXCPitZRtEpF9PsVZ12o1TpbJ4hWrLXWLe5Vd7Uqoj9xK0oVBREZMhJD1v39cdvbfBmXLJJIPu+XfzzJPffcJzk3am6ee459p06dYmNj09LSGjZsqPvLYa7EZmRkREdHDx482MvLi8/nu7q6fv7552vXrs3IyFi5cqVYLC6+Y926dd+8ebN169Y+ffr4+fmVeH7Wrl17y5YteXl5Bw4cGDt2bOPGjfl8vp2dXYMGDYKDg3/77be8vLz58+dzn9sAZkNZzyzuAAAAAGDj8vPzk5KSHj9+/Pz581evXr1580apVIrFYi8vL19f3zp16vj7+1evXp3P5+vSG03TSUlJFy5cuHfvHjNbiYeHR6NGjdq2bdu8eXM7OztCSHp6+rhxf6+g/P333zdu3LhIJ3K5nF3id9KkSd26dSt+IO1OFi9e3KRJE+7XOHz4cCaeMWMGuypQce/fv7927dqNGzeeP3+enp6uUqnYTQcOHDBsRpkhQ4awqw7pbuTIkcXXJMrPz7906dKNGzceP34sk8nc3d0bN2786aef+vv7MwN09+7d2bNnM41/+ukndhVkDmq1OjEx8fbt2w8ePHjx4oVCoahcuXLt2rX9/f1bt25dWg+6jBEx0flgmPHjx9+8eXPChAkhISEm6bBCKigokMvlIpHI0dHR0rmAmUil0vfv3zMxj8erXLmyZfMBs1EoFHl5eRRFsZN+Q4WnVCpzc3PZhy4uLsbPjQcfiszMTEKIs7Mz89+tItIvJL46ed3sSVUo1epUIipl8eftv2hAKpW617lHbi+yyutO7mk9myjkf/8TP7DP10MGlFpkDxWMQqFQq9UCgaDEzzuUqW7DKg2beJa4iRJQNE+n3/LseHw+xSOERD24lJj1ypT5WcLwOi07edUlhCg1ajVddCINsCSa0IQmxKzTgoR+PW7b1p8JIdt+3T5k6BfmOzAhhBA+Rbhfq0Cjw41tFJ/wP9S/IWma1i4qQLGLTWGmMrKGQZdKpZ988gkhZM+ePbVq1TKyNxTKAAAAAAAAlCMUyugChTI2CIUyNguFMjYIhTK2jLtQBiokBwcHmUzGxHPmzFm0aJFl8wGzycvLUygUEonEwcHB0rlARSuUAWvD1kyY84fzMWPGMGv6/Pbbb8HBwWY7LjBQKGPLKmqhjOVfDwAAAAAAAAAAAAAAAAAAAACAGeDuDQAAAAAAAAAAAAAA26V+l6f5Z6Y3Y2ndbp5fqErNNVG3OhAKNBTftmbQl+j8C4+IR5t2hRSKpnma/3m3eZoCPq2k1EqitXBwCdQaotZhgZKyFGQoadqMi76UP6GTvdCl9CXTdEPxKGLOtXDMhdbQ5MNaH4MilBVMvQAAABxQKAMAAAAAUAEFBwfL5XIm3r9/vzXMjQkAAAAAANYpfUNs7ukLJumKVijYeM/t9D82XjVJt7ro20WVKs802+EsjiKkm4+upQMdvWgNLTXh0cWkisvbZO1n/l5vSUboHK4d6XdiknzL+AROTMouSM03vh/r0TC8f9OZxq4mI3SpJJCITJKPVVHmSVXvCy2dhR74IqGoMpYVBgCwaiiUAQAAAACogNRqtdoUd+kBAAAAAAAAAAAAAFQkuK8UAAAAAAAAAAAAAAAAAAAAAGwCCmUAAAAAAAAAAAAAAAAAAMBKbdmyhaZpmqaDg41dpAwAgKBQBgAAAAAAAAAAAAAAKpKc56k/dRmZfuexpRMBAAAAAGuEQhkAAAAAAAAAAAAAAKhAaFqjUls6CQAAAACwUiiUAQAAAAAAAAAAAAAAAAAAAACbILB0AgAAAAAAYEk0TaekpNy5c+fBgwfPnj3Lzs4WCAS+vr5169YNCAho2rSpUCg0oFulUhkfH3/lypXHjx/n5OS4uLj4+/u3bt26ZcuWfD7fsrnRNH3v3r1Lly7duXMnKytLIpHUr1+/ZcuWHTt2tLe3N6BDAAAAAAAAAAAAAPhQoFAGAAAAAMBGSaXS33//fd++fXl5edrPKxSKJ0+ePHny5NixYxRFTZgwoXv37hRFldbPmzdvQkNDmXjhwoVNmjS5e/fud9999/79e7ZNZmbm2bNnz5496+DgMHv27I8++shSuaWnp8+bNy89PV27z/j4+Pj4+KioqIiIiE6dOnHnBgAAAAAAAAAAAAAfLiy9BAAAAABgo6ZPnx4bG1ukEqUImqY3bNiwYMECjUbD0Ub9D0JIfHz87NmztatktEml0m+//fb48eMWye3p06fjx4/XrpIp0njlypUnTpzgzg0AAAAAAAAAAAAAPlyYUQYAAAAAwKb5+fn17t27YcOGbm5uEomEEKJWq3NycuLj47dt2yaXywkht27d2rFjx4gRI8rs7ebNmwcOHCCE+Pr6jh8/vl69emKxWKPRpKen79+//8yZM0yzjRs3enl5NW/e3Jy53bt3b+/evTRNN2jQYOTIkbVq1ZJIJDRNZ2Zm7t2799SpU0yz6Ojotm3buri4lNkhAAAAAAAAAAAAAHxwMKMMAAAAAICNCggIiIqKWrduXffu3atVq2Zvb09RFEVRAoGgSpUqgYGB27dvb9iwIdN47969OTk5ZfbJVMl07Nhx3bp1/v7+EomEoig+n+/j4zNp0qR58+axLb///nulUmnO3Hbu3KlSqUaOHLls2bKPPvqI6ZPH43l4eISFhX399ddsy/3795fZGwAAAAAAAAAAAAB8iDCjDAAAAACAjQoJCeFuIBKJ5s+fP2rUqMLCQkLIyZMng4ODy+zW19c3IiKCxyuhKP/jjz8eN27cpk2bCCFyufz48eN9+/Y1Z25dunQZNGhQiZuCgoIOHjz49u1bQsipU6dCQkIoiiqzw4KCgqtXr3K3USgUhBCVSsWkCiVi1sZSq9V4l2wHM+gMmqYx9LZDpVIRDLqN0f68E0IUCkWRZ6DCUyqVHGtlgjWoGJ9KnGYcaJo2bYcGv9u0hi77ixbAh8/kHzrrZCMvE4rD0Nugchp05sKpjtjLCCZJBoUyAAAAAABQKnt7+wEDBuzcuZPoXIwSFhZWYpUMo2fPnr/++qtMJiOE7N69u0+fPrrUo5gqtzFjxpS2iaKoAQMGxMTEEELkcnl2drabm1uZHWZkZMyaNYu7Te3atQkhCoUiPz+/zA5tnEqlwrtkm2iaxtDbIAy6zWL+GwA2BYNu/Zgqxg8dCmU40BratAsMGPxuq9Uqk/wuhd9owbrRNnKK2sjLhOIw9DaoPAZdo9HodWWA/VphkmSw9BIAAAAAAHBp3rw5E+Tk5Mjlcu7GYrG4UaNGHA34fP6AAQOYuKCgID093Wy5NW/e3NHRkaMBu5YTISQ7O9uYxAAAAAAAAAAAAADAOqFQBgAAAAAAuDg7O7Nxbm4ud+MOHTqUOUNMixYt2Dg5OdlsubVs2VL33t69e2dMYgAAAAAAAAAAAABgnbD0EgAAAACATaNp+uXLl/fu3bt//35qamp6ejq72itDe0rtvLy8qlWrcvRWt27dMo+o3cOrV6/Mlpunpyd3YkKhkI31Wh8XAAAAAAAAwHq08ahZy9Hd0lkYq+aH/xIAAMBqoVAGAAAAAMB23bhxIyYmJiMjQ8f2ZZaPVKlSpcxOJBIJG79+/dpsuYlEIh270l316tWPHz/O3Wb27NmEEIlEUrlyZZMnUGFIpdLCwkKhUFipUiVL5wJmIpPJ2BXTeDyei4uLZfMBs1Eqlfn5+RRFubq6WjoXMBOVSpWXl8c+dHJyEghwTdJWMMtZYtCtn1woLGMd0w+BgM8nKksnYa14PJ6m7FZ6MPhDLRDYmSSBMqcytXEt3KtZOgUbR/F4FXlND5qmaZomhFTslwna2EFnYOhtCnOnYnkMOo/H0+t6KXt11yTJ4PsJAAAAAICN2rRp09GjR03bp/akLKXh8/lsXGSGGFZ55FYeBAKBh4cHdxvmmxtFVfDLZEZiLnPjXbIpRX7bwNDbDnboMei2o/jnHaNva/BPvPWrIDUHFeNVlBOKELrsVuaAUQIAAIB/6PU1wbTfKVAoAwAAAABgiy5cuMBWovB4vKCgoLZt23p7ezs4OAgEAoqi2GvlaWlpoaGhOnary4pF2usllVhYU065AQAAAAAAAFRkGo1aobR0EuWAtpI6LwAAqDhQKAMAAAAAYHPUanVMTAwTOzk5rVu3jmP9C7VarXvPmZmZZbaRyWRs7OXlZbbcAAAAAAAAACoyHo8vNM3iVlZFLSt5MloAAACDYcZLAAAAAACbk5aWJpVKmXjSpEkclSiEkDdv3uje89OnT8ts8/btWzb29fU1W24AAAAAAAAAAAAAAJhRBgAAAADA5rx69YqNGzRowN345s2buvf8xx9/hIWFsUsjlejWrVtsXLNmTbPlBgAAAAAAAGALknIfvVPkWDoLY/lVqukh8bR0FgAAUDGhUAYAAAAAwOYUFv47azGfz+dueerUKd17fv/+/ePHjzkKXNRq9YEDB5jYwcHB29vbbLkBAAAAAAAA2IK38jdp0ldlt7NubiJ3FMoAAEA5wdJLAAAAAAA2x93dnY1TUlI4WsbGxqpUKr0637Bhg0ajKW3rmTNnCgoKmHjw4MHF554p19wAAAAAAAAAAAAAwMahUAYAAAAAwOb4+fmx8fr160ssN6Fpevfu3SdOnNC38xcvXqxbt67EWpnExMQNGzYwsUgkCgoKMnNuAAAAAABgC1xr+o67tMOzaX1LJwIAAAAA1giFMgAAAAAANsfR0bF9+/ZM/PLly7CwsMTERLlczjwjk8kSExMjIiJ27NhBCBk0aJDuPffu3ZsQcvbs2SlTpty/f1+hUBBCNBpNRkbGpk2b5s6dy7acPn26UCg0Z24AAAAAAAAAAAAAAAJLJwAAAAAAABYQHh6emJjIrIL0+vVr7RIWbWFhYf7+/vv27dOx2zZt2jRs2HD58uXJycmzZs0qrdmYMWNatmxp5twAAAAAAAAAAAAAADCjDAAAAABABaS98hFFUcUb2NvbR0dH16tXr7QexGJxZGRkjx499D10hw4dIiMjS5wthhAikUgWLVrUt29fjh7KLzcAAAAAAAAAAAAAsHGYUQYAAAAAoKKhaZpZ84gQQlFUiYUyhBBnZ+cVK1YkJSVduHDh3r17L1++JIR4eHg0atSobdu2zZs3t7OzMyyBFi1a7Nix4/r161euXHn06NG7d++cnJyaN2/eunXrNm3a8Pn8Mnsov9wAAAAAAKAIfiUHQWVXE3X277cPiR3PzaHkAvryIOZTTkKx2Q5ncRShxHxa58YaHqVrY906tCN8B+1naJqmaZrjG+jfOwrsaLGz8QmI3TVqdYX6Vih0tKd4xt7czv3mf8Aoyvg3x5woXgUdCACACgSFMgAAAAAAFY1SqWRjHx8fjpYURdWrV49j7hZCiKen5+HDh/XNQSQSderUqVOnTvruaNrc9Ere0dHRgFcKAAAAAPCh85z8tefkr03SFeWwh8hUTDyshfeiiR1M0i1YI9//eZSfl6dQKCQSiYODQyk7/L0X1dgEB+/d0wSdwIdC6OxAnDnPKwAAAD19SAWYAAAAAACgi7dv37JxjRo1LJcIAAAAAAAAAAAAAIB1wYwyAAAAAAAVTUJCAhu3atXKgpnoSy6XBwcHM3F4eHiXLl0smw8AAAAAAAAAAAAAVDAolAEAAAAAqFBkMtnOnTvZh2vWrFmzZg0Tx8bGurq66tjP7NmzHzx4oP3M8uXL69ata6o8S6NWq5lAo9GU97EAAAAAACo8jVSWMmOR2Q5HK/5dB/bPC88XzzpltkNDcfaNqtwz17oCarVao9HweDw+n2+mQ1YsXetXCWzsWdpWgR1NaLrMTkR8OwGvAi4loSp4ry5Ult0OihHYi/kSoaWzAACwRiiUAQAAAACoIORy+cOHD1evXi2Tydgn2boTQsjFixf79eunS1fv3r27e/eu6VMEAAAAAADzotUa2d2HZjzev/Xu2ZmyJw8zzHdoKMbTXXJbpbJ0FqCTBlUrKdWllsJQAg2tQ6GMkJTd5kOkUanVChTKGIIvRpUMAEDJUCgDAAAAAPBhUyqVAwcO1KXlvn37+vbtS1FUmS0vXLhgbFrlJi8vb9SoUUw8bdq0du3aWTYfAAAAAAAAAAAAAPiAVMAZ2AAAAAAAoEWLFiKRiIl5PB5THJOXl5ecnFzmvjRN79u3j4mFQmu890j9D13uqAMAAAAAAAAAAAAAYKFQBgAAAACggqhUqVLz5s2HDRsWHR0dGRnJzhxjb2/fvXt3Jj527FiZ/Tx79iwvL48QwuPxevXqVX4JAwAAAAAAAAAAAACYGZZeAgAAAAD4sNnZ2R0+fJi7Ta9evU6dOkUIOXPmTGhoKPc8MWwxTY8ePapWrWqqPAEAAAAAAMwgNz/1yIU53dvN8nCrZ+lcAAAAAMAaoVAGAAAAAKDiq1Gjhqura05ODiEkISGhXbt2pbUsLCw8e/YsE/fs2fP+/ftldu7p6VlmpQ4AAAAAAIB50IRoNGpCsE4rAAAAAJQMhTIAAAAAABUfRVGDBg3avHkzIWTfvn0chTIJCQlM4Orq6ufnp0uhDIum6ZSUlDt37jx48ODZs2fZ2dkCgcDX17du3boBAQFNmzblnsmmvFl5egAAAAAAAAAAAABgBjxLJwAAAAAAAObQqVMnJnj69GlWVlZpzfbu3csEgwcPpihKx86lUunBgwdHjBgRHh6+efPmK1eupKenKxQKmUz25MmTY8eOLVy4cPDgwadOnaJpw2/rnDBhQv/+/UeOHMk+s3z58v4lUalU5k8PAAAAAAAAACq2tTFRLn5eLn5eP2xYa+lcSsad4Q8//CAUCoVC4bJly4pvHTduHLN19+7d5Z+pVYiMjGRe8saNGy2dCwAX7g8vGACFMgAAAAAANsHZ2blx48ZMfP78+RLbZGZmJicnM3HHjh1173z69OmxsbF5eXkcbWia3rBhw4IFCzQaje49a1Or1Wq1Wnt3mqbVJbFIegAAAAAAAABg5U6e+Z2pI3Hx8ypym40uaA2tVCqVSqXVXj3gzlCj0XBsVavVVv7qTI59ycWvJplfbm7uTz/9FBgY6OXlJRKJvLy82rdvP2XKlMOHD799+9bS2YGFcX94wQBYegkAAAAAwFYMGjSIWUrpwIEDAwcOLD5hzNmzZ5mgSZMmzs7O+vbv5+fXu3fvhg0burm5SSQSQoharc7JyYmPj9+2bZtcLieE3Lp1a8eOHSNGjDD2xejPytMDAAAAAAAAgPJG07RSqbR0FgBFbd68+ZtvvtGu10lPT09PT//zzz9//PFHQsjLly99fX0tlyBARYNCGQAAAAAAW+Hv78/n89VqdUFBQVJSUr169bS3ajSauLg4Jh44cKBePQcEBMyaNav413WBQFClSpXAwMBu3brNmzfv4cOHhJC9e/cGBQW5urrqm39MTAwh5N27d+zqS9OmTdNl5hvzpAcAAAAAAAAAAKCv9evXh4eHWzoLANuCpZcAAAAAAGyFQCDo1asXEx89erTI1sePH8tkMkIIn8/39/fXq+eQkBDum1pEItH8+fNFIhHz8OTJk3r1r43H45UYW0l6AAAAAAAAAFBRTf4mTJqWKU3LnBr+H0vnYoipU6fSNE3T9KxZsyydC/zt7du3bJWMh4fHkSNHcnNzNRqNSqXKy8u7f//+zz//HBgYWHxmaLAp+PCaHGaUAQAAAACwIZ9//vmRI0cIIRcuXJgwYYJYLGY3HT58mAkCAwP5fL7JD21vbz9gwICdO3cSQk6ePBkcHGzyQxjDsPT++uuv4cOHc7epXr06IUQmk2VlZRmfZ8WmUCjwLtkOmqbZWKPRYOhtDU3TGHSblZuba+kUwNzy8vIsnYJN0+RLLZ0CWIxKpbJ0CmAidNlNAIqjaVqj0ejVXq8d9ercOun7kssDO8GzWCy+f/9+5cqVmXwoinJwcGjQoEGDBg2YVcKt5w23nkzAbMpj0DUajV5fD5mbPE2VDAplAAAAAABsiK+vb5UqVd6+fUsIuXHjBrtukUwmu3LlChP36NGjnI7evHlzphIlJydHLpdrl+lYAwPSo2laoVCU2aZIAKXBW2TLMPo2CINuszD0NgiDbll4/wEAAKxZQkICE4SGhjJVMgC2Q0iWtgwAACAASURBVK//qZr2v7VYegkAAAAAwIZQFDV48GAm3rt3L/v8tWvXmMDDw4N7lSJjODs7s7EV3k1u5ekBAAAAAAAAgGWtjYly8fNy8fP6YcNa7ee/mTKZeX7u4oVldnIr8TbT2LN+zdJmfnqX++7n37Z/NWFcg5bN3Gr61GjaYMjoLzdu/SnTuHkZf/zxR7FYLBaLly9frkv7goKC6Ojojh07Ojk5ubu79+rVKzY2lp3UoUw0Td+4cWPGjBlt27Z1cXFxcnJq1apVRETEtWvXdJwQwvge3r9/HxsbGxQU5Obm5uLi0rZt23nz5t25c0fHl8B48uTJsmXLPvvsM19fX4lE4uLi0qBBg6CgoAULFly8eFEqNWryNnYpcCcnJ2P6MUxOTs6WLVuGDx9es2ZNBwcHLy+vfv36bdiwgbnLThe5ubk7duwICQlp1KiRo6Oju7t7UFBQdHR0dnY2947GDO748eOZM3nPnj3MM8acq6bNJDs7e+XKla1bt3ZycvLy8ho+fPj169eL7/jgwYMpU6Y0atTIwcGhbt26kydPTkpK4jiQ7h9eI8e0XM92q4IZZQAAAAAAbEv79u2joqIIIc+fP3/79m2VKlUIIex3ucGDBxu85jFN0y9fvrx37979+/dTU1PT09MLCwu1G2h/t8zLy6tataqBr6EipgcAAAAAAAAAVo7W0EqlkhRb+GPMiFG/7NpBCIn6KWb+jG8FAq5fYDdv28p08s2Yr4u3LFQoZi+cHx27WftJeWHhsdMnj50+GTF75vTJU2ZHTOc+RGk0Gk2J+Zfo4sWLvXr1ksvlzEOpVHrq1KlTp05Nmzbt/PnzTZs25d79yZMngYGBycnJ2k/evHnz5s2bq1evrl69+rFjxxo1alSuPZw7dy4wMFB7MuD4+Pj4+PjFixf379+fmVeYW15e3qBBg86ePav9pEKhyM/PT0pKOnHixMKFCz09PVNTU8vsqjSdO3dev349ISQ2NnbOnDnlsR56iQoLC6dPn84cmiWXy48cOXLkyJFJkyZ9++238+fP5zjTCgsLZ82atWbNGu0nZTLZiRMnTpw4MXHixFmzZs2dO5etBNJm5OCq1WrtM9mYc9W0mRw8eHDw4MHs50sqle7atWvXrl2jR4/+6aefmIuuarV63LhxP//8M9tJcnLy+vXr169fv2LFiilTppR4IF0+vEaOqRnOdquCQhkAAAAAANvi6OjYokWLW7duEULOnj07dOjQ169fp6WlMVvbt29vWLc3btyIiYnJyMjQsX2ZKxaZVjml5+rqOmHCBO42Fy9eJITY2dnZ29vreHQbpFAoVCoVn88v8eoJVEjMoDMxRVESicSy+YDZqNVqpk4RfyvaDo1Gw16zJoSIxWIeD7Nc2wrmLl6RSGS2n3ygOI0aSy/ZLh6PR3SbcQEAjNTCv5mjo2N+fr68sPBawo0ObdqW1lJeWPjrnr/rM0YHf1lka3ZOdrvuXV6mvuI41vI1P/zx55UT+w7a2dmVmRjH3VDFN2k/c/Xq1S5dupS447t37z7++OO//vqLY07i06dPf/755xyJpaSkNGnS5NChQ7179y6nHnbs2DFixIjSdo+Li+vQoUOzZs3YZ4q/IUqlsm3bto8ePeJIo7R9dderVy8nJ6e8vLxXr15NnTp19erVBnelu6ysrICAgJSUFI42S5YsuXjx4rlz55gzTXvVG4qi0tPTAwICXr9+zdHD999/7+fnN27cuCLPGz+4ep2rz58/9/HxKbGBaTM5c+bMwIEDS2z2888/+/n5zZ8/n6bpQYMGHT58uMRm06ZNq1at2pAhQzhSIqWcbwaMqTbznO1F8Hg8C14ZQKEMAAAAAIDN6d+/P1Moc/DgwSFDhpw+fZp5/uOPP65UqZIBHW7atOno0aOmTNGkyi89V1fXkJAQ7jbM9KoolOGm0WhUKpVAIMC7ZDtomtYulMHQ2w6FQlFYWIhBtylKpbJIoYxhN0DDh4gplBGLxbr8kgflRK1CnYTtQqFMxUERgpo368bj8SaPn/DdymWEkI2xmzkKZc5fushMCFHNx7denbramxRKRadenzFVMjweb+Z/pw4dONjX20doZ6dWq1+lpcb8vGXtxihCyNUb179dOH/FoiXcWVEUVeQnbfZh8U3abty48dVXXxFCvv/++xEjRnh6evJ4vKysrOjo6Hnz5hFC1Gr1pEmT4uLiStz95cuX2sUHy5cvHzFihIeHByEkIyPj119/nTZtGrOpb9++z549q1Wrlsl7ePbsGVslY29vHx0dHRQU5OrqqlarX758uXz58o0bNyYkJCQkJHC8Ibt27WLrBiIjI4ODg5nFaAghKpWqoKAgJSXl0qVLx48fN6Z0gFm1h3m9a9eudXZ2Xriw7AW8jKFQKFq3bs1UVPB4vLlz53755ZfVqlUTCoXM+7Nhw4ZVq1YRQq5cuTJt2rQ1a9ZoV8kQQgoLC7WrZLp27Tpv3rxmzZo5OjrSNJ2bm3v79u2lS5eePn26+Btr/OBq0/FcPXDgQPF9TZvJtWvXoqKi7Ozs1q1bN3DgwMqVK9M0nZycPG7cuAsXLhBCFixYMH78+Li4uMOHD/v5+W3cuLF9+/aVKlVSKBQ3btwYPHhweno6IeTrr78eMGBA8f88c394DRjTIj1wnO0KhaKgoODVq1fGn+3FX5ReVwbY89Akt17gSykAAAAAgM356KOPhEKhQqGQyWQJCQlHjhxhnu/fv78BvV24cIEtQ+HxeEFBQW3btvX29nZwcBAIBNpf3tLS0kJDQ03yEipMegAAAAAAAABQAQwfMpQplIk7erhAKq3k4FBis9XR65hgStikIr83/7B+7V8vXhBC3Cq7XTtzwdvTi90kEAhqVPf7ft7Cvr2CuvbpRQiJ2rJp4rhQv2rVy+O1rF692t7e/v79+3Xq1GGfdHd3nzt3ro+Pz5gxYwghBw8ezM7Orly5cvHdx44dywRCofD27dsNGzZkN3l6ek6dOjUwMLBZs2bMbL4jRoy4fPlykbfChD24u7vfu3ePXV9bIBDUrFkzOjr6008/HTp0KPf7wK7NtGXLliI3StnZ2bm6urq6uvr7+4eHh3P3UyamQoKxaNEiuVy+bNkyE5YjFLFs2TJmpSF3d/fbt29rz7bCvD8rV64cMGAAM+302rVr//vf//r5+Wn38O2337JVMtu2bRs5ciS7iaIoV1fXzp07d+7c+c6dOy9fvixydOMHV5su52pcXFyJ56ppM1m3bp2Tk9ODBw+038+6deueOXPG39///v37hJDQ0NCjR4+2b9/+7Nmz7JzKIpGoQ4cOt2/f9vb21mg0+fn558+f7969e2kHKpEBY1qjRg3tHso8293c3ExytlsPTHMKAAAAAGBz+Hx+UFAQEy9dupT5vicSibjXdS6RWq2OiYlhYicnp61bt44dO7Zx48aurq5CoZDH42l/gVSr1aZIv+KkBwAAAAAAAAAVQ3Xfag3q1WfiE2dOl9gmKzvr8rWrTDygd1/tTQVS6aIVS//efW+cdpWMtjYft5odMZ2Jt+3cYXzapdm5c6d25QFr9OjR7u7uTMzMoVvEixcv2KmLt2/frl18wGrYsOH27duZ+M8//0xKSjJtD8+fP2fm8CCEHDx4kK2S0fbFF18wM5Fw+Ouvv5hA36oF3dE0PX369NGjR2s/uWLFismTJxeZxMVUCgoKmKlWCCHnzp0rbU2idu3aRUZGMvGWLVu0N7179+7HH39k4gULFmhXyRTRtGnTwMBA7WeMH9ziDDtXyyOTvXv3Fn8/+Xz+ihUrmJhZcenQoUPFVx6vWrUqe/8ee0+jjowfU2KWs93aoFAGAAAAAMAWsd952KVPevfuzefz9e0nLS1NKpUy8aRJk1xdXTkav3nzRt/+jWTl6QEAAAAAAABAhTF14mQm+GF90WVNGHFH//79u0Obtu5ubtqbzlw4x25q3JDrRqaQL0cxwU+//GxEslxcXFx69+5d4iYej/fll18y8b1794o3YEoBCCGurq6DBg0q7RCDBg1y++cd2L9/v2l7YKcWrl+/PjOFRonKXOGoXr16THD27FnulgabOXMmU0Xh5ub2/PnzKVOmMM+vW7du/PjxpdXKxMTECIVCoVA4Z84cfY946tQpJujUqVOTJk04Wo4bN44JNm7cqP08W8YhFApnzpyp19GNH9wiDD5XTZ6Ju7v7Z599VuKmNm3asPHYsWPd/vezz2Kn+r527RrHgYozfkyJWc52a4NCGQAAAAAAW+Tt7e3l9T83J5X2XY7bq1ev2LhBgwbcjW/evGnAITiUeW+NZdMDAAAAAAAAANsR1KMnE9y5fy8t/XXxBqv+KaD574RJRTadOnuGCb4YMJj7KB5VqjBBVnZWoUJhcLYcvvzyS44lZthf4p8+fVp86/nz55lg9OjRPF6pv0TzeDx2eZciP8wb38OZM3+/mczKO6Xx9fUtcnGsCHbKmdGjR0+dOvXOnTumnY34999/X758OSHEzs7uxo0bfn5+q1atmjt3LrN18+bNo0aN0mg0xXe8deuWUqlUKpUff/yxvgc9fvw4EwwfPpy7JTsTT2ZmZmFhIfs8W5YREhIiFAr1Orrxg1sE97natGlTJih+rpo8k2HDhpWWibOzMxsPGDCgtB6qV/97JbUHDx5wHKg448eUlP/ZboVQKAMAAAAAYKMGD/73youPjw/3pYHSaH+n4p6QprCwkP0ibQzt767sdDgcB2Vj86QHAAAAAAAAALbJ0dExsPvnTLw37kCRrUnJz1JevSSE8Hi8zp0+KbI1/lYCE0ybO8uzfk3P+jWr1qvhUae6R53qVWpXc6vp41bTx9XP28XPy8Xv3ws4+fn55fFCuCelYOfDKPHoN27cYILWrVtzH6VVq1ZMEB8fb9oe2FuhmjVrxt1Dhw4dOLb27duXnZJ51apV/v7+AoGgU6dOS5YsuXr1apE6A32p1Wp2vpPt27fXrFmTiRcuXLh06VL2+eDg4OL1CuwlrLZt2+p7XHa2ksmTJzs7Ozs7Ozs5OVWqVKlSpUoODg4SiUQikYhEImbGGnavvLy84j107NhR36MbP7hFGHyumjyTxo0bl7aJx+Ox1zP9/PxKa+bg4MAEMpmMO6UijB9TUs5nu3USWDoBAAAAAACwjG7dunXr1s3ITti1fgkhKSkpJS7oy4iNjS2zrkUXYrGYjd++fWtt6QEAAAAAAACAzZr4deix0ycJIas2rJ0UOkF7hontu35jglHBw0XF5uF48jSJCeSFhXKdf5Mup0sZlSpV4tjK/uRf4kS/7OS+Zd6R5e3tzQT5+fkajYbt1oQ9eHh4cPfAlqeUiMfjnThxYtu2bdOmTcvKymKe/OOPP/744w8mDgkJWbBgga+vL/dRSnTjxo2MjAxCiFAoLLL0z4wZMypVqjRx4kRCyJ49ewoLC/fv38/eAPb27dsXL14QQmrVqsVOEKK7R48eMYFcLpfL5TrupX2m/fXXX0xgwAs3fnCLMPhcNXMmfD6fmRxIIpGUma2+jB9TUs5nu3XCjDIAAAAAAGA47dsg1q9fX+IFGpqmd+/efeLECZMcUSAQsDdYsDd/WE96AAAAAAAAAGCz2rVuI7QTEkKysrPuP/p3/RS1Wh29ZRMTfz0qpPiOJa6wYykca9nYGh6P99VXX2VkZNy/f3/dunW9evXSnrE4Nja2WrVqsbGxBvR84cIFJujXr1/xWZDDwsJ+/vlnJj506FBQUBB7UeuXX35hgu+++86A41rVmWY86zlXLZiJqca0/M5264RCGQAAAAAAMJyjo2P79u2Z+OXLl2FhYYmJiey9CzKZLDExMSIiYseOHYSQIvfHGKxLly5M8OjRoyNHjuTn55d4D5Ol0gMAAAAAAAtycfQZ2fcXD7f6lk4EAGyRQCAIDRnLxFu2b2Ofv37zhuz9e0JIZdfKTRqVsESL5z9TgxzfEydNy9Txj6f+E4qUNx8fHyZIT0/nbvn69WsmcHBw0J5Lw4Q9lDkV8fPnz7kbMHg8XqNGjSZOnHjs2DGFQpGUlLRkyRJXV1dm65gxY+7cuaNLP9rYeVlKm9Vm1KhR+/btY+KTJ092795dqVRKpdJvv/2WEOLh4WHYhSx2ApWzZ8/SOtOedoW9LS01NVXfoxs/uKZiPZkYz/gx1Vb8bF+8eLGRZ7t1ssaxBAAAAACAD0h4eDg7uejr16/nzp07ZMiQPn369OnTZ+jQoXPnzn369CkhJCwsjF3p1kj9+vVj482bNw8fPrxv3779+vXr/w/tmWPMnx4AAAAAAAAA2KzRw75kgi3btymUCibeGPsTE/x3wsQSf2tv37otEyTcvlX+OZajjz/+mAkSEhK4W7LzBLdq1cq0PQQEBDBBYmIidw9XrlzhblAcj8erU6fOrFmzXr9+zR536dKl+vbDXq1i180pbuDAgewUyOfPn+/cufPEiRMVCgUhZNeuXXZ2dvoelBDSsWNHJoiPjzdgd0JI27Z/n6t//vmnvvsaP7imYj2ZGM/4MS0Nc7bPnDkzNTXVmLPdOqFQBgAAAAAAjGJvbx8dHV2vXr3SGojF4sjIyB49epjqiFWqVJkxY0aRGU01Go36H5ZNDwAAAAAAAABsVr06dX28vAkharX6jz+vEEKkMtn+wweZrUMHDi5xr66ffMoEMVu3fNCL43Tu3JkJtm7dyvFCNBrN1q1bmbhr166m7YF9yL1MTFpamgFzorBEItGSJUuY+OTJk/ruzhZqHD9+nJ38uLjPP/+cXaTpypUrzHpMffv2Zd8lfbH3iW3YsMGwM429hvbTTz8plUq99jV+cE3FejIxnvFjWiYjz3brhEIZAAAAAAAwlrOz84oVK1auXBkUFFSjRg0+n8/n8728vLp27TpnzpwdO3a0aNHCtEds3779rl27/vvf/3bo0MHX11cgEFhVegAAAAAAAABgmyiKipg4mYnXxkQTQk6eOc08bNr4I2/Pkpc76RfYmwlSX6ftPXig/NMsL3379mWCzMzMo0ePltbs6NGjGRkZTFxkCSHjewgKCmKCBw8eXL9+vbQeFixYUNomHTk6OjKBVCrVd192FhClUjlnzhyOlp988kmRmULWrFmj7+FYAwcOZIJXr17t3LnTgB569/77XJXL5fpmYvzgmor1ZGI848dUF8ac7daJ62oyAAAAAAB8uPbs2WN8J4GBgYGBgbq0pCiqXr16HBO3EEI8PT0PHz7M0UAsFnM30CaRSDp37qzjDTQmSQ8AAAAA4IPDs5f4/WDsD4G6ozqcIv9M8dimk9/ECd3MdmgoTm1vN8DOTPdLy2QypVIpEonEYrF5jljBeDqJnSWl/mb3vxOqloqvY7sPjaCShC8Rmao3O0cJG4sqO3HfeFMc3/7vTPgSkaiyU2nNgkd9OWX2DELImQvnpET1w8b1zPMzZ84qbS+Pyk5T/vPfH1b/SAgJmRjqU8uva5dSp69QqVQnT51ycnLs1LETR4Z8sVDXF2Y6NWrU6Ny58/nz5wkhwcHBd+/erVWrVpE2ycnJwcHBTNy6desil2uM76FWrVrt27dnllXq16/fvXv33NzcivRw+PDhTZs2cbwQjUbzn//8Z8aMGT4+PiU2oGmaLRMxYH4XX1/fwMDAY8eOEUJWrVpVtWrVqVOnUiV9igsLC4tcsBoyZMjly5cNW3rJxcUlIiJi1apVhJAvv/yyatWq3bqV+o+1SqU6ceKEk5NTp07/nmmurq7h4eHr1q0jhEybNq1mzZpsoUYRDx8+TElJ0Z7F2fjBNRXrycR4ho3pJ598wj5Z3me7dUKhDAAAAAAAAAAAAABAxUQJ+A4B/uY7Hu/fsgx3D4fG/iVPnAAVT16eQKFQSCQSBwcHS+cCFQ1PwCcCvsl6s/v3t1G+yI6vZ6EM759MeAI+X1RqmYKnj3fHjh3/+OMPQsjE/0y6ffs283yf/n059vp+2dK4Qwf/+usvQkiPXj179eo1c+ZMf39/R0dHiqI0Gk1eXt6zZ8+OHj36ww8/5OXlxcXFFe9NO0OKb5mlRbZu3VqjRg1CiEwmq1ev3urVq4ODgytXrkwIyc7O3rVr1+TJk9mFs3/55Zfi1SHG9/DTTz81bNiQEJKenl6zZs3Nmzf37NnTycmJpunU1NQffvjhxx9/LPOFrFu3bt26dV27dv3mm29atWrl4eEhEokIIe/fv09KSoqMjIyLi2Na/uc//zHgjfr111/9/Pzy8vIIIdOnT9+2bduKFSvatWvn5OREUZRCoUhLSzt27NjcuXNzcnIIIWKxWKPRKBSK+Pj4QYMGxcXF8XiGDPGSJUsOHDjAnGmfffaZLmdakR6WLl26e/duZqqVQYMG9e7de86cOY0bN2b+CcjPz7979+7y5csPHToUExNTZF/jB9dUrCcT4xk/phxn++PHjxcsWHDw4N/rxxl2tlshFMoAAAAAAAAAAAAAAAAAgG0Ri8Vl1hm0bNmSmZhEX9OmTWMKZdgZf4cMGcJdSSYUChMSEtq0aZOUlEQIOX78+PHjxw04tMX5+fkdOXKEWaBHrVaHh4eHh4eX2HLPnj0lztJhfA8NGjSIiYkZP348ISQ/P3/o0KHF2zRt2rRFixY///wz98s5e/bs2bNnORoMHTpUe9IU3bm4uNy8ebNly5bv3r0jhNy/f79Xr16lNW7atOnJkycfPXrUpUsXQsjhw4cnTpwYFRVlwHGNP9Ps7e1v3brl7++flZVFCDly5MiRI0d03Nf4wTUV68nEeKb626P8znYrhEIZAAAAAPiAyeXya9euXb16NTk5OSsri6Zp5vmtW7e6uLiY/FjsZJvh4eHMl1Jtb968CQ0NZeKFCxc2adLEtAlYSpkvvMJISkqaPn06E0dFRXl54eZXAAAAAKggCq7fIpU0vPr//kD7V74ou1Bj8gNp/vlSRgh5nCGNS0wz+SHAOsnlcpVKZWdnx9yADvqq7e5Qz6OSkZ3Y8Xl8nvVOeGA4jUqtUNP6/43FFwoozqlo1Go1O11EaVQqld4HJoQQ8tlnn/F4PI3m37wnTZpU5l6VK1e+f//+Dz/8MHPmTI5mNWvWXLx4cVBQkGG5mUFQUND9+/d79uyZkpJSYgMfH5/jx483bdq0/HoYN26cr69vnz59ShzlHj16HDp06Lvvvittdx6P9/Tp0yVLlsTGxpbWhhASGRk5d+5cg+caqVOnzosXL2bMmLFx48bS2ojF4rVr144ZM4bH43l5eUVGRkZGRhJCoqOjq1WrNmvWLAOOa/yZ5uPjk5KSMnHixK1bt5a2e0RExMiRI4s/b/zgmor1ZGI8Y8bUPGe7tUGhDAAAAEDFFBwcLJfL2Yfdu3f/5ptvytxLu9QjODh4yJAh5ZWfKcTHxy9dutTgCxYGYL9Xa1/mYNE0XeblFZPTHuj9+/cbNuFqmbhfeEXCvlJa6/o+AAAAAMCHLnvvYUGnKlTNf38RuPjaLzEr2+QHUmn9lH35r5xnJx+Z/BAAFdLQAF9vZ4mRnTiKqYpZKKNWqGVKVaHe139ELpX4pluzSV9isXj06NHsr84ODg5t2rTRZUc7O7sZM2ZMmjTpzJkzJ06cuHbt2sOHDxUKha+vb7NmzTp27NizZ89GjRpZ/2/VjRo1+uuvv65fv75nz56LFy8+fPhQo9HUr1//k08+GTJkSPv27cu8imV8D7169crNzd2+fXtcXNzly5dVKlXjxo27des2aNCgVq1alfkSateuvWXLltWrV585c+b48eNXr1599OgRj8erXbt28+bNe/fuHRQU5OjoqMebUhInJ6fo6OhFixYdO3bs1KlT165dS0lJEYlEjRo16ty5c9euXT/99FPtGsS5c+devnz5zJkzhJBvv/3Wz89v2LBhBhxXrzOtxAtl9vb2sbGxy5Yt279//7lz5y5fvpyRkeHk5NS6detevXoNHTq0SpUqpR3d+ME1FevJxHjG/O3BcbY3a9asd+/evXv3Nv5styoUrv8CAAAAVEhDhgzRLpQhhMTGxrq7u3PvlZ6ePm7cOCYeNmxYibOSWonk5GSO9VB/+eWX8phRhq0cmjRpUrdu3Yo00H73Fi9ebJ4ZZbQH+uDBg+Xxza3MF15hJCUlRUREMPHGjRu9vb1N0u348eNv3rw5YcKEkJAQk3RYIRUUFMjlcpFIVMG+cgMHqVT6/v17JubxeMwq4GALFApFXl4eRVFubm6WzgXMRKlU5ubmsg9dXFwEAty8ZysyMzMJIc7OznZ2dpbOxdalTI0UdKpCdfv30xf3vFwKZWK7h6jkhUzs9dlor64jTH4IgAppaIDvV21qGNmJo1ggEvAIIX++uZgmfWWCtCyqhXurWk51CSFEKVPkG1ooI8EUR6ZH0zTz+/IHVEAARmIHnYGhtynMnZPWMOhSqfSTTz4hhOzZs6dWrVpG9oYvpQAAAAC2YvPmzYZNxWmd1q5dywR8Pn/mzJnNmjUTCoXWfzMNAAAAAAAAAAAAAABYkOULfwAAAADAPK5evZqammrpLEwjLy8vOTmZiceOHdu6dWuRSIQqGQAAAAAAAAAAAAAA4IZCGQAAAAAbEhUVZekUTOP169ds3KxZMwtmAgAAAAAAAFZFnvHi/2b3KHh+z9KJAAAAAICVQqEMAAAAQAXn4ODQpUsXJr579+7Tp08tm49JZGZmsrGTk5MFMwEAAAAAAADrQtO0WkVo2tJ5AAAAAICVQqEMAAAAQAVHUdTo0aPZh+vXr6c//MuFCoWCjfl8vgUzAQAAAAAAAAAAAACAD4jA0gkAAAAAQLlzcXHp16/fwYMHCSHJycn37t1r0qSJqTp/+/btlStXHj58+OjRI6lUKhaL69Wr16hRo3bt2nl7exvWp1qtvnv37pUrVx48eJCRkaFSqRo1arR48WIrTPUDkpGRcfPmzdu3b7948SIzM5PH41WpUqVWrVofffRR8+bNPTw8jD8ETdMpKSl37tx58ODBs2fPsrOzDGI+lQAAIABJREFUBQKBr69v3bp1AwICmjZtKhQKDe753r17ly5dunPnTlZWlkQiqV+/fsuWLTt27Ghvb69jJ2q1+ubNm9euXUtMTMzJyXFxcalfv367du1at25tcGIAAAAAAAAAAAAA8GFBoQwAAACATRg6dOihQ4eYuWTWr1+/ceNGiqKM7DM3N3f58uV3797VflKhUCQkJCQkJPzyyy+1atX69ttvuSsw3rx5ExoaysQLFy5s0qTJkydPFi5cmJeXp91MqVRqNJqBAwcyD9VqNbtp2LBhRV5LbGysq6uryVM1oZycnBkzZrx9+5Z5GB4ezi6PVR7y8/N//PHHhISEIs+/fPny5cuXFy9eJIQ0bNhw7NixdevWNewQUqn0999/37dvX5GBUygUT548efLkybFjxyiKmjBhQvfu3bnPveKnRHp6+rx589LT07W7jY+Pj4+Pj4qKioiI6NSpU5kZPn78eOHChfn5+ewzmZmZmZmZV65cEYlEs2bNatGihX6vGQAAAAAAAAAAAAA+QFh6CQAAAMAm2NvbDx8+nIlfv35948YNIzu8e/fu6NGji5SeFJGcnDx27NgrV65wtKFpWv0PQkhCQsLUqVOLFFuwtFuyNBqN+n+VU6qm8vz58/Hjx6enp6vVapqmFy5cWK5VMrm5uV9//XXxKpkiHj58GBER8f79e8OOMn369NjY2NIGjkHT9IYNGxYsWKDRaLibaQ/l06dPmbertMYrV648ceIEd3pnzpyZNm2adpWMtsLCwsjISKZgCAAAAAAAAAAAAAAqNswoAwAAAGAr+vbtu2fPHoVCQQjZsGFDQEAAn883rKvnz5/Pnj2bfejv7z9y5Eg/Pz87OzuVSpWamrpjx47r168zW5ctW7Zo0SJ/f/8yu71582ZcXBwhpE6dOqNHj65Tp45EIqFpOiMjw+ASlnJK1WDx8fHfffcdEzs4OKxcudLHx6f8DkcIWbBggUwmY+K2bdsOGDDAx8fH3t6eoiiNRlNQUMBMKnPq1Cnjj+Xn59e7d++GDRu6ublJJBJCiFqtzsnJiY+P37Ztm1wuJ4TcunVrx44dI0aM0KXDe/fu7d27l6bpBg0ajBw5slatWswpkZmZuXfvXjbn6Ojotm3buri4lNbJ2rVr2Yddu3YdNGiQp6cnj8eTy+VPnz7dtGnTixcvVq1axU5ZBAAAAAAAAAAAAAAVFQplAAAAAGyFSCQKCQnZuHEjISQnJ+fSpUudO3c2oB+1Wr1gwQL24VdffdW/f3/2oZ2dXY0aNWbPnn369On169czTy5evPjXX38VCoXcPR84cIAQ0q9fv6+++opdnYeiKE9PT6aC4fDhw8yT586dW716NRPv2LHD0dHRzKkaJi4ubuvWrUzs7e29YsWK0jI3ldTU1KdPnzLxsGHDhg4dqr2Vz+c7Ozs7Ozt/9NFHISEh7NtrgICAgFmzZvn6+hZ5XiAQVKlSJTAwsFu3bvPmzXv48CEhZO/evUFBQUWWxyrRzp07CSEjR44cOHCg9inh4eERFhZWvXr1zZs3M0/u379/zJgxxXtQq9WLFy9mH86ZM6dVq1bsQ4lE0qRJkzVr1qxdu/bcuXP79+/X72UDAAAAAAAAAAAAwIcGhTIAAAAANqRHjx7bt2+XSqWEkJiYmA4dOtjZ2enbyblz57KystgOtUtPtHXv3v3Nmzd79+4lhMjl8v379wcHB5fZub+/v3aVTGm0G3DMi1OuqepFo9FER0ezM6A0adJk/vz55VSOoy0pKYmNuadLkUgkX3zxhcEHCgkJ4W4gEonmz58/atSowsJCQsjJkyd1fJO7dOkyaNCgEjcFBQUdPHjw7du3hJBTp06FhIQUP3POnDnDnPBMktpVMiwejzd58uTnz58nJyfrkpK2t2/fxsTEcLdhZvRRKBQFBQX69m87lEolIUSlUuFdsh0qlYqNaZrG0NsOdgE+DLrtKLLqokwm4/GwHLxtef/+PfOfQLAgtVpNqdUCrV8ENMVWrQUAqGBomtA0beksKjK8vTYLQ2+DymPQaZpmp0LXBdu4yHdMw6BQBgAAAMCG8Pn80NDQVatWEUJkMtnJkyd79+6tbye7du1i46+++oqj5RdffBEXF8f8FLp///4vvviizB9FQkNDy6yS0V25pqo7hUKxaNGixMRE5mH37t0nTJhgnt+H2DohsVhsQFGUadnb2w8YMICZJEb3QpkS54lhUBQ1YMAApk5FLpdnZ2e7ubkVacOeAxKJhONspygqLCwsIiJCl5S05efnHzx4kLtN7dq1CSEqlYpZfAo4qNVqNX6wsUk0TeMDYmsw6LaMWQkUbAoG3RpoNJoivyho8BMXAFR0NKHxc365wttrszD0Nqg8Bl2j0eh1ZcC0lxFw9wYAAACAbenYsSNbTLB161Z9/3OZmZnJTOBBCOnSpYu9vT1HY6FQ2KdPHyZWKBTPnz/n7tzDw8PHx0evfDiUa6q6y8/PnzRpElslM2rUqIkTJ5rtLmp2aSe5XM5OrGJBzZs3Z4KcnBxdzr3mzZtzr07VsGFDNs7Ozi6yNSsriy0V6tevH8fkQ4SQOnXqODk5lZkSAAAAAAAAAAAAAHzQUCgDAAAAYFt4PF5YWBgTq1SquLg4vXZPSUlh4w4dOpTZvk2bNmz89OlT7sYdO3bUKxlu5ZqqjlJTU8eNG5eWlsY8nD17Nvf6RyZXt25dNl66dKleU1mWB2dnZzbOzc0ts33Lli117/Ddu3dFtmoXPH388cfcXVEU9emnn5aZEgAAAAAAAAAAAAB80LD0EgAAAIDNCQgI8PHxSU1NJYTs2rWrT58+Dg4OOu7L7MXw9vYus72npycbv3jxgrtxtWrVdExDF+Waqi4SExPnzZvHTEopEomWLVtWq1Yt47vVS40aNdixTkxMHDp0aIcOHXr27Fm7dm3uKXYMQ9P0y5cv7927d//+/dTU1PT09MLCQu0G2pO95+XlVa1albtD7UEpkVAoZOPiU/qzJUqEEA8PD+6uyD9rJOnFzs7Oz8+Puw0zkw1FUdxT2tg4jUZD0zRFUWabbwksjhl09iE+ILaDpmnmnwMMuu1gB53B4/FMuNQmWDlmUUUMupUoMgoYEgAAAACwIH2vl5r2MgIKZQAAAABsDkVREydOnDVrFiGEpunffvvt66+/1nHf169fs7Eu69Rol+BoV66UyNXVVcc0dFGuqZZp27ZtT548YWI3N7eVK1eyK16ZE0VRCxYsCA8Pf//+PfPM5cuXL1++zGTVqlWrli1bNmzYUPdKKQ43btyIiYnJyMjQsX3xupbiRCKRMSlpnwO6FAa5u7vre4hq1art37+fu8348eMJIRKJxLRneAVTUFAgl8uFQiH3YltQkUilUvavJh6Phw+I7VAoFHl5eRRFYdBth1Kp1J5JzsnJSSDANUlbkZmZSQhxdHS0s7OzdC62Lt/OrshHj49PIgBUdDzcjFE+aJpmbnvA22s72EFnYOhtCnPbQzkNul5XBth7Jk2SDE5iAAAAAFvUuHHjevXqMfGRI0dycnJ03FGpVLKxLr9waP+ftcjkIsWZ9ieTck21TGyVDCFk+PDhFqmSYXh4eGzdurV79+5Fns/Kyjpx4sTChQuDg4MXLlyovVKVATZt2rRo0SLdq2TMQ7sWR5evT0bW5QAAAAAAAAAAAACA9UPNOAAAAICNCgsLmzx5MhPHxsZGRETospf2naDMPOrctKfZN3MVgmVT7dat2/nz55njrl271t7evl27dkb2aTB7e/uJEyeGhITcvn37ypUr8fHxRSqBEhISEhISBgwYMGrUKANmxb9w4cLRo0eZmMfjBQUFtW3b1tvb28HBQSAQUBTF9pmWlhYaGmr8K9KR9sJMGo2mzMk5jS+QAgAAAAAAAAAAAAArhxllAAAAAGxUzZo1W7RowcQXL15MT0/XZa+qVauycX5+fpntpVIpG3t7e+uZo1Esm2rnzp3Xr18vFouZh0uXLv3999+N7NNITLHOtGnT9uzZs23btvnz53fp0kW7duTAgQPnz5/Xt1u1Wh0TE8PETk5OW7duHTt2bOPGjV1dXYVCIY/H06680aViyYS0zwGZTFZm+6ysrPJMBwAAAAAAAAAAAAAsDzPKAAAAANiu8ePHjx8/nok3btwYGRlZ5i6+vr5snJaW5unpyd3+zZs3bOzn52dIloayeKo+Pj5RUVGTJk0qKCgghKxbt04qlfbr18/4no1EUZSrq2tAQEBAQMDEiROPHj0aGxvLbNq0adOnn36q1yKvaWlpbI3RpEmTuJeV1X6TzcDHx4eNMzIynJ2dudsnJyeXc0YAAAAAAAAA5c6vUs3KIndLZ2GsCvASAADAaqFQBgAAAMB2eXl5derU6dKlS4SQW7duPX/+nJ0BpTTVq1dn46tXr7Jz0pQmPj6ejWvXrm1EsnqzhlTd3d2joqImT56ck5NDCImNjZVKpcOHDzdJ5yYhEAj69ev36tWr06dPE0JkMll2dra7ux6Xol69esXGDRo04G588+ZNw/I0TI0aNdj41q1bdevW5W5vwIQ6AAAAAAAAANbGx6F62Y0AAABsGJZeAgAAALBpY8aMYeOoqKgyV8apUqUKW0Vx+vRpuVzO0VipVB4+fJiJhUJhrVq1jEtWP1aSqouLS1RUlJeXF/Nw9+7dmzZtomnaVP2bRLt27dhYl2WqtBUWFrKx9kJOJbY8deqUvrkZw93dnZ3hJi4ujvv0fvr0aW5urlnyAgAAAAAAAAAAAACLQaEMAAAAgE1zdXUNDAxk4kePHv3+++9l7vLFF18wAU3Tv/32G0fLuLg4toqib9++ei3oYxJWkqqDg8OaNWvY5ZyOHj26Zs0aq6qVyc7OZuNKlSrpta/29DMpKSkcLWNjY1Uqlb65GYk9B2Qy2cmTJ0trRtN0VFSUuZICAAAAAAAAMD2NhlaqTfxHpaY1tEb7D6HVRKMy6x8ruoICAAAVBAplAAAAAGzdsGHD2PjAgQNltu/WrRs7S8fBgwdLmyPk0qVLv/76KxOLRKLBgwcbnanerCdVsVi8atUqdmWic+fOLV26tMz5e4y3Z8+eu3fvch/o/fv327dvZ/PUa90lQghbAEQIWb9+fYmlMDRN7969+8SJE3r1bBLdu3e3t7dn4piYmP/7v/8r3oapknn69Kl5UwMAAAAAgHIhrlqjxdKzlWo2sXQiAObG41F2fBP/EfApHsXT/kMoPuEJzPqHsvQ7CwAAFQ4KZQAAAABsnaOjY3BwsO7t+Xz+3Llz2YcbNmxYvHjxixcvmAoJtVr96tWrVatWrVy5km0zc+ZMsVhswpw/xFSFQuH333/fvHlz5uHVq1cjIyPLe4aVZ8+ezZ49+4svvti0aVNiYmJ2drZSqWQ2qdXqnJycCxcujBs3Licnh3kyNDSUovS7/uTo6Ni+fXsmfvnyZVhYWGJiIrvQlUwmS0xMjIiI2LFjByFk0KBBpnlhOhMIBLNmzWIfzp8/Pzo6Oj09XaPREEIUCsXDhw8jIiKYIqq+ffuaOT0AAAAAAAAAAAAAMDOBpRMAAAAAAMvr37//3r17dS/aqFOnzoIFCxYsWMBUG1y/fv369eulNZ4yZUpAQIBpEtWfVaXK5/Pnz5+/YsWKK1euEEISExNnzpy5ZMkSoVBYfgclhCgUiqNHjx49epS7WY8ePTp37mxA/+Hh4YmJiQUFBYSQ169faxcnaQsLC/P399+3b58BhzCGv7//N998Ex0dzTw8ceJEiXPbhIeH16hR49ChQ+bNDgAAAAAAAMDEpKq7Sk2mpbMwlj2/npDvY+ksAACgYkKhDAAAAAAQsVj81Vdfbd68WfddmjdvvnXr1u+///7Ro0eltalevfqcOXM8PT1NkaPhrCpVHo83ffr0devWnTlzhhDy5MmTKVOmrFixQiKRlPehOTg6OoaGhnbo0EHf6WQY9vb20dHRixYtevLkSYkNxGLxzJkzW7RokZ6eblymBurZs2f16tW/++47qVRafKtAIJgxY0br1q2TkpLMnxsAAAAAAACAaSnUaXL1c0tnYSwhr6qQoFAGAADKBQplAAAAAIAQQj7//PNff/31/fv3uu/i6uq6fPnyjIyMy5cvP3jw4OHDhwUFBfb29vXr12/UqFG7du18fX3LL2G9WFWqFEWFh4c7/D979x0eVZU+cPzcmWTSSEKoAQKhBgiQUKRJE2RBajQUxaWDwIrgLhBW5SfSFREVEBSQuIjI0hXpAktAEBJCrwkGEwKhhJaeyczc3x9X786mTCbJpH8/j4/PO/eee+577g2BufPOOS4uyuQlMTExU6dO/fTTT11dXW1+rpkzZz58+DAmJub333+/detWXFzcw4cPU1NTTSaTu7t7nTp1fH19W7Vq5ePjo9EUaFVWd3f3JUuWREZGHj169PLly7dv3xZCVKtWzdfXt2PHjq1atbK3t7fRmPKpWbNm3333XVhY2KlTp86dO/f06dOKFSs2atSoc+fOHTp0KJalwQAAAIAi49LGX1TSau3++6bDx93NSetu8xOtlyR1qtKGVZxfaFbMX5xAkcnIyDCZTFqt1s6OD57yo5mnm4N9gd6YCyE0mvx8+6UU0NhpdMJOo83rcZI2z4cAAMoJSZbl4s4BAAAAAMqsiRMnhoeHv/nmm2PHji3uXEqupKSktLQ0BweHwqgYQ8mUnJysVmdqNJpKlSoVbz4oMnq9PiEhQZKkypUrF3cuKCIZGRnPnj1TX1asWJHPUMuP+Ph4IYS7u3uxl02jyLi4uKSkpCjx//3f/82fP79480GRSUhI0Ov1Tk5OLi4uxZ0LxJP0A2VgRhl3XRdnO9/izgLZkGVZ+Xy5gF+7Qimi3nQFt75cMZlMomTc9OTk5G7dugkhtmzZUr9+/QL2VvzjAQAAAAAAAAAAAAAAAIoA394AAAAAULLcv39/0qRJSjxv3rwWLVoUbz4AAABAqSAbjcJotNRACIOm6D4UMBpNGXpL+aAsydAbDRmmDK0xw56bnh8aO0lbAr6sj9LE0pohkiijy3ABgK1QKAMAAACUNWfPnjWf4TwoKOj5558vxnzySpZlo8Xn+wAAAACyevTvHx6s2WChgcHBccyLEwo1hzSDSY337bx+5+r3hXo6oMzou9T3pdoFXWbI2U5nr9HaJJ8SJcWgzzCVlKcE9hqNo/aPZDTpGcWYiUGv0Sfrs92l1dk7VHYr4nwAoHShOhUAAAAoa7Zv3240s2XLluLOCAAAAAAAAACAEoFCGQAAAKBMefbs2aVLl8y3REVFxcfHF1c+AAAAAAAAAACUHBTKAAAAAGXKsWPHsm48fPhw0WcCAAAAAAAAAEBJQ6EMAAAAUHbIsqwutNS0adNWrVop8c6dO00mU/HlBQAAAABF4Vnine9+GvPgUURxJwIAAICSi0IZAAAAoOy4devWs2fPlHjQoEEBAQFKnJKSEhHBk2IAAAAAZZwshMlkFEIu7kQAAABQctkVdwIAAAAAbGb37t1q3LJlS41Go9FolLlkfvzxxyZNmhRfagAAAAAAAAAAFD8KZQAAAIAyQq/XHzp0SIl79Oih0+mEEL179963b58Q4sSJEykpKc7Ozvno2Wg0Xrp06cSJE1evXn3w4IHBYPD19V24cKENk89VRkZGaGjoiRMnbty48eTJk4oVK/r7+7dv375t27ZardaaHmRZjomJuXjx4tWrV3/77bfHjx/b2dl5eXk1atSoTZs2fn5+yhUDAAAAAAAAAJRhFMoAAAAAZURYWJga9+3bVwleeuklpVBGCHHq1KkePXpY7uT+/fuTJk1S4nnz5rVo0SIiImLevHkJCQnmzTIyMtT4+PHjn376qRJv3LjRci3OpUuXZs+ercRr1qypWrVqruNSjlqwYEFqaqq6JT4+/vDhw4cPH3ZxcZk1a1bz5s0tHJ6cnPzzzz9v27Yt0yj0en1ERERERMSePXskSXrzzTd79eolSZI1KQEAAAAAAAAASiNNcScAAAAAwDa2bt2qBM7Ozo0aNVLiunXrurm5KfGWLVty7USWZeOfhBBnzpyZMWNGpvoSy4fkSm0sy7I17UNDQ2fNmmVeJWMuOTn5vffe27t3r4UeZs6cGRwcnOsoVq5cOXfuXGWlKgAAAAAAAABAmcSMMgAAAEBZEB8fHxUVpcQBAQHqtCiSJAUGBv7rX/8SQty9ezcuLq5GjRpW9hkeHr5z504hRMOGDUePHt2wYUMnJydZlh88eHDixAnbjyGHHHbs2CGE8PLymjhxoo+Pj6Ojo8lkunfv3vbt29Wlpr766qsaNWq0atXKQlfe3t4DBgxo2rRp5cqVnZychBBGo/HJkyehoaHr169PS0sTQpw9e3bjxo0jRowo/JEBAAAAAAAAAIoBM8oAAAAAZcHhw4fVuHv37ua7unXrpsYHDhywvs8dO3bIsvzyyy8vXbrUz8/P2dlZkiSNRuPp6Tlo0KCC52xlDkKILl26rFixwt/f38nJSZIkrVZbq1atqVOnqqs4CSE+/PBD8wWhzLVp02bVqlUrVqzo1atX7dq1lYFIkmRnZ1e1atV+/fpt2LChadOmSuOtW7c+efKkCIYGAAAAAAAAACh6zCgDAAAAlHomk0kpKBFC1KxZ09PT03xv5cqV69evr8w3s3v37hEjRmi1Wit79vf3HzNmjDo/TbHw8vKaPn26RpNNlf9zzz03YcKENWvWCCHS0tL27t0bEBCQtdnYsWMtn8LBweGDDz4YNWpUenq6EGL//v3Dhg2zJrfU1NTr169bbmMwGIQQRqMxpzoeCCGUFa9MJhNXqfzItMwZt778UH4rCm56eaLedPWllcsvoszI9DOAwmPlWqgAgDKBf1Ch2MiyXLxPC1Fk1PduhXHTZVnO0zsF9TGCTd5RUigDAAAAlHo3btxITU1V4sGDB2dtMGjQoCVLlggh9Hr95cuX/f39rex50qRJxf6+d/LkydlWySj69Onz3XffpaSkCCE2b948cODA/CXs7OwcGBi4adMmkZdCmbi4uDfeeMNymwYNGggh0tPTnz17lo/EypWMjAyuUvlkMpm49eWNLMvc9HIrKSmpuFNAUUtOTi7uFMoLZTlRCyhTA4Ayw8IvdFnIJpNp7ty5H374oRBi2bJlEydOLIwcMn3/oQz47LPP3n33XSHEvHnzZs6cWSp6LhayLPOPivKmMG56Xh8HKU+AhY3+TcvSSwAAAECpt2vXLjXu0KFD1gZt27ZVY3XumVxVq1atVq1aBcytgBwdHX19fS000Gq1gYGBSpyUlHTv3r18n6tVq1ZK8OTJk1w/YwAAAAAAAKXOgX37q1Zwt/K/lcuWF3e++adMbZuRkcF8Y9ZTZrrNyMiweQ1Q4fUMIH8olAEAAABKt5SUlBMnTihxq1atKlSokLWNo6Njp06dlPjcuXOJiYnW9NylSxdbJZlvnTt3znWGmNatW6uxssJU/ri7u6sx8xwAAAAAAFD2yLKcYTVqGgCgrGLpJQAAAKB0O3XqlBoHBATk1Kx///5qPc3x48f79u2ba8+1a9cueHoF1KhRo1zbVK9eXY1jY2NzaibL8u3bty9fvnzlypU7d+7cu3cvPT3dvIH586+EhATzbgEAAAAAAAAAZQOFMgAAAEDptnnzZiXQaDR+fn45NWvSpIlOp9Pr9UKIbdu29enTJ9eZWjw8PGyYZ/5UrVo11zZOTk5qHBcXl22bsLCw1atXP3jwwMrzKhcqV7Vq1fr2228tt1m6dKkQwtHRsWLFilaevRxKSUnR6/U6nc7Z2bm4c0ERSU1NVYvVNBqNm5tb8eaDIpORkZGcnCxJkvk8XijbDAZDUlKS+tLV1VWr1RZjPihKT58+FUJUqFDBzo4H0UXB5OSUbLFBrm8BAKBceZD4VKfTFXcW+SSJHH+lS0LSaDTq73xJkjQaW64xIsuyLMtCCNt2WxIEBQUFBQWVrp6LhnrTFZIk8Y+KckK99YVx0yVJytPzUnt7e/XAgp+d9ycAAABAKXbnzh21NKR3794WPoHQarX9+/ffsWOHECI+Pj4mJsbb29ty5yXh8wxrnliZf9iWaZIYxZo1a3bv3m3LtP7k4ODg6+truY1yGTUaTUm4niWW8nBNkiSuUvmR6Ykqt778UKfv4qaXH+aP1IUQWq2Wu1/ecNOLTNn7wBIAChW/NoH8oUqm/JAkSS2UKYzO8/Q2QW1MoQwAAABQ3v38889qvG/fvoMHD1pobL600N69e//2t78VYmY2Ys3MLubjylpYc/ToUbVKRqPR9O/fv2PHjjVr1nRxcbGzszP/MsTdu3cnTZpko8QBAAAAAAAAACURlZIAAABAaWU0Gnft2pVpiwXm3+c+cOBARkaGzVPK9JXxbHPOU4fx8fG5tklJSVHjGjVqZDrd6tWrldjNze2bb74ZP358s2bNPDw8dDqd+UTE+cgNAAAAAACUQ7Ish4WFz3xvdvsuL7pV86pQpeZzz78wbeZ7p0LDzL/Mk0sP4WcL0oMQIjUtbf2m7wJHvFazSYPqPnW79es17+MPL1+7UoCR/Y8JEybodDqdTqes+i3L8okTJ2bMmOHv7+/q6lq9evWhQ4du27bNYDBY34kQ4unTp1988UW3bt2UhzNDhw7NdIgsy2FhYTNnzmzfvr2bm1uFChWee+65adOmnTp1ysLFGTdunHKid955J9ehnTlzRmns7u5unv+nn36qbF+8eLGFwyMiIj766KOePXvWrFnTwcHBzc3Nx8enX79+c+bMCQkJSU7OZiFEK3vO39hFdtc5KSlp1apVnTp1qlChQqVKlfr06bNu3TrzZ2hAOceMMgAAAEBpdenSJcsPIywwmUznzp1r165dwdMwX/ko11oTawpfzN28eTPXNg8fPlRjLy8v8113795VH09MnTrVw8PDQj/379/PU24AAAAAAKC8iYiI7Nf3laioW+Ybw8+dDz93/rMVq+rU9tr34zbfpk0dEVJCAAAgAElEQVQs9RB5s0/A4Khbv+e7ByHEkZCjAwYN1mf8dyLeM+fOnjl3dvHnS1/uP2DLju15HlgWRqNR+ZKVyWRKTEzs2bNnaGioujclJWXr1q1bt26tXLnysWPHclqZ2rwTIcSWLVuGDRtmXvORaS7hiIiIPn36REVFmW8MDw8PDw//7LPP6tSps2/fvmzPNXHixODgYCHEsmXLFixYYHk9ly+//FLJaurUqeYtTSaTebZZJSQkDBo06NChQ+Yb9Xp9YmJiZGTk3r17586d6+npqa6Tbn3PBRm7yHKdQ0JCXnrppbS0NGVvcnLy/v379+/fP2PGjJCQED8/v5xyAMoPCmUAAACA0mr79v8+9fj3v//t7Oyc6yFGo3Hw4MFKOcu2bdtsUijj5uamxomJieYvs7p8+XKeOj9+/PjkyZMtrzt79uxZNa5Xr575rtjYWDVu0iSXZ0zh4eF5yg0AAAAAAJQrh38+NLBvfwsNYm7HNmvdYde2fw/o91K2DQ4eOtJ7QGBBehBCbPz3luFjJuS094fdPz3//PMtW7a0cJY8uXz5clBQ0J07d7Ld++jRo2bNmp08ebJjx46W+9m6deurr76aaaP55MQHDx7s3bu3hR5iYmKaNWu2a9euAQMGZNr13HPPubm5JSQkpKWlnTx5smvXrjl1kpaW9q9//UuJx40bZzlncxkZGe3bt79+/br1h1ivIGPP5OTJky+88EK2u54+fdq6devo6OhatWrlO1WgbGDpJQAAAKBUSkhIuHDhghI/99xz1lTJCCG0Wm2vXr2U+Pr160+ePCl4JlWqVFHjW7duWWip1+uPHj2ap85TU1Nv3LhhoYHRaNyxY4cSu7i41KxZ03xvenq6GpvPfJNVenr6gQMH8pQbAAAAAAAoP+7ExppXyXy8aF7c7zeMyY+NyY/jfr+x5MP56q6Bg1/LNGGM4nbsHfMqmXz0IIT4LeqWWiXj7OS0dtnK2KuRSXcePou5d+VU+PiRo4UQZ86c+frrrwsw1v+xaNEipUpmwYIFd+7cMRgMGRkZd+/e/eSTT9Q2PXr0ePbsmYVOjh07NmzYMKWT27dvGwwGWZZlWf7xxx+VBrdv3zavFPn444/j4uKUxcTj4uKWLFmi7ho4cGCmaVeEEBqNZvr06Uq8YsUKC5kcOnRImXalTp06uX6rytymTZvUKpk5c+bcuHEjOTnZZDKZTCa9Xv/48ePz588vX748HyVKBRy7udDQ0O7duwshPvzww9jYWIPBYDKZHj58OG/ePKWB0WicMmVKXjMEyh4KZQAAAIBS6fjx42rct29f6w/s2bOnGv/nP/8peCbVqlVTZ3zZtWuXhZabN2+2fqVt1cqVKy0cdejQoaSkJCUeMmRIprlnzIt4YmJiLJwlODg43+tYAQAAAACAUqe6m0fVCu45/bf3p92Z2k+Z+KYS6HS6y1fOBv1jqmf16hqNRqPReFavPuPvU66eO63T6ZQ2I8ZONJ8rRTH+b1PUHq6eO52PHsw7qVyp8pVTZ18f8qpHRQ9Jkuzs7OrW8V720Scb1n5ji8uTWXh4+KxZs2rWrKkkXL169enTp1+5ckX5YlJaWtrs2bMtHP7VV18JIS5dujRr1iwvL6+sX2caP368Euh0uqtXrwYFBXl6ev5xcTw9Z8yYcfXq1f9enBEjsl6cUaNGKcG2bdvUh0VZqXUn//znPy3PYZzJpk2blGDdunUffPCBj4+Ps7OzJEmSJNnb23t4ePj7+0+ZMmXfvn3W96ko+NhVn3/+uZ2dXWRk5DvvvFOrVi2tVitJUpUqVd5///1169YpbXbu3Pn48eO8JgmUMRTKAAAAAKWPLMtbtmxRX+ZpaeEGDRo4ODgo8fbt2y28tbaSVqvt3LmzEl+/fv306dPZNjty5MjWrVvz0X90dPSKFSuyrZW5cOHCypUrldjBwaF//8yzH3t7e6vxF198kW0pjCzLmzdvzsdTDAAAAAAlTUXXWiMDvq1WuXFxJwKgFDAajRk5y/TA5HZMzJFDh5T422+/bto0m98zTZs03hC8WolPnjodefM3873RMbcPHjqixBuCVzdtkucehBC/R8ccPfaLEm/+5ttqVatm7WTIK4FjxoyxOPQ8W758eevWrbNu9/X1Xbt2rdomOTnZQidfffVV8+bNs90VHR198OBBJd6wYUPTpk2ztmnatOmGDRuU+OTJk5GRkZkaeHt7+/r6KvHu3ZnrnBTx8fHHjh1T4iFDhljINit1HmV1tmabsMnYzW3atKlhw4ZZt48ePVr9RllOj++A8oNCGQAAAKD0iY6OVldN6tSpk/qdEmtoNBp1NtfExMSbN28WPJ8RI0ao8cKFCzdt2vT06VPliVJ6enpkZOScOXM+//xzrVab12cQyrrLhw8fnjZt2pUrV/R6vRDCZDI9ePBgzZo177//vtpy5syZWa+Dq6trp06dlPj27duTJ0++cOFCWlqasiUlJeXChQvTp0/fuHGjEGLw4MF5HTgAAAAAACgP9u7eowQeHhUHDX4lp2aDXwmoXKmSEm//4X+m3d21e+8fPVSsOPiVgHz0IITYvXe/Evg0atSxbfucOlHX2bGVN954I6ddw4cPVx/I/PLLLzk102g0I0eOzGmvOkWxh4eHheczgwcPrly5shJv3749a4N33nlHCRYvXpxtD9u2bVOCrl27Vs2uzMgCHx8fJTh8+HCeDrTMVmNXVKxYUXmYlpVGoxk+fLgSX758OZ/pAmUFhTIAAABA6bNnzx41fumll/J6eI8ePdT4p59+Kng+np6eyjrTik2bNo0cOTIgIGDgwIFDhgyZPn362bNnhRAfffRRXtdp7tChw8yZM4UQUVFR77777uDBgwcOHPjyyy+PHz/e/LtB48aNa9u2bbY9TJkypUKFCkocFxf3/vvvDx06dODAgQMHDnzttdfef/99pVRo8uTJtv0+EAAAAAAAKMkeJD59mp6S03/9Bv5PtcHxoyFKMGr0CI0mxw9YNRrN2FF/1CIc/k+I+a7/hPyxiPboEa/nrwchxKH/HFWCsSNyLDoRQnh5edWoUcNCgzzp16+fo6NjTnvt7e3V8g4LhTIDBgyw8EUvdXHw0aNH53Jxxo5V4myrVQIC/qhAOn/+/J07d7I2+Oijj5RAedyUJ+o8PaNHj54xY8bFixeNRmNeO8nKVmNXDB8+3MJ6Uuqk1Db54hxQqlEoAwAAAJQyer1enZFVkiR1Ulnr1atXz8nJSYmPHj2qzrBSEK+99tqkSZNy2lulSpWVK1c2bpyf+c87d+48Z86cnB6mODk5zZ8/X30OkpWzs/OXX36pfuknK0dHxzlz5qiz7AAAAAAAgPLAQlFCVmfPhCtB+3bPWW7Zrm0bJQj98xBFWPjZAvYghAg/e14J/HNbhltdJrvgnn/+ecsNOnTooAQXLlzIqU379jnOfyOECAsLs6aZEKJdu3ZKEBoamnWvm5vbwIEDlXjTpk2Z9kZERERHRwshNBpNz549LZ8oq4CAAPVLVkuXLvX397ezs+vateuiRYt+/fXX9PT0vHaosNXYFS1atLDQgzonTWJiYh5SBMoiu+JOAAAAAEDenD17Vl0n+4UXXrC3t89rD5Ik9e3bV52mNSwsrEuXLgXMSumzS5cux44dCwsLu3HjRkpKSpUqVZo1a/bCCy/4+/trtdp8d966deuNGzeePn36xIkT169ff/r0qZubW6tWrdq3b9+hQ4dce3Z3d1+yZElkZOTRo0cvX758+/ZtIUS1atV8fX07duzYqlWrfFxDAAAAAABQftz9c3oSzxqellvW/LNBYmKSyWRSy3Fi79xVghqe+ezBvJNqVatY7qRevXqWG1jPy8vLygaxsbE5talVq5aFHtQDc50Ip2bNmkqQmJiY6eIo/v73vyuLGS1evHj69Onm06t88803SjBu3DgHBwfLJ8pKo9Hs27dv/fr1QUFBjx49UjYeP378+PE/5goaO3bs3Llzc71cmdhw7EIIdVrlnIagBOqjRaDcolAGAAAAKGU6dOigrl6cb6NGjRo1alTW7Z6engXp3NXVtV+/fv369cupQYsWLXLtP9scHBwcunbt2rVr1/wlJkmSj4+PhXllcjovAAAAUFpU+eugKn8dZLlN5qkJbM1lniZF/0fcf7Dv/PkjCvmEKCkSEhL0er2Tk5OLi0tx54Kyxtkux/V68sHFrDd3nZOdXZ4/KtVIjhrJWQghclqMSGdWqeDoLrJWM+hchKO7pXPk2oMQWhcX5xqVrci3SFkovyiyLyl16dJFp9Pp9fr4+PhLly6piw0Zjcbly5cr8d/+9rf8da7RaMaMGTNq1Kjr168fOXJk3759Bw4cUBdgCg4ODg4OXrdunbpGUtGzsO4SAHMsvQQAAAAAAAAAAAAAOVInRLl3757llnFxcUrg4uJiPudHwXsw7+Thw4eWO/n9998tN7DenT9n08m1geVpYyywycVR2NnZvfXWW0q8evVqdfuvv/6akpIihKhcubK/v3/+8lRoNBpfX9+33nprz549er0+MjJy0aJFHh4eyt5x48ZdvHjR+t5sOHYA1uOPEAAAAIBCkZaW9sqfjhw5ku82AAAAAAAAxeu5555TgjNnzlhuGRYWpgTt2rWzbQ9CiDZt2ijBhQsXLHdy4sQJyw2sd+rUKcsNQkNDlaBly5b5O4VNLo5q/PjxSrB69Wq9/o+JzlasWKEEQUFBNqwy0Wg0DRs2fPfdd+Pi4tSUPvroI+t7sO3YAViJpZcAAACA0mrYsGFpaWkWGjg7O3t5edWrV69169bNmzd3dnYustwU6tyzJpOpIG0AAAAAFNzFD79/dP5mng6p6FWxaoX0rNufVarybd22WbdnGP+76Eb4qdiVS47lNUmUUhkZGSaTSavV5mMhmwJyreaQ1i6jiE9acJ09tTWck9SXDtrajtp6BexTkuylsvgNeVk2yMJou97++9NiktNNsrU9v/BClx9//FEI8c03wYs+nJtTpYXJZPrmm2Al7tGjm0lOt9CDRhZCyEL5359PRf6nh65dhNEotFq1kxdffFFZNjo4OHj69Ok5ZXv37t1cp4Gx3u7du9PT0x0cHLLdazAYtm7dqsTPP/98/k7RvXv3Py/ONx999JHFy/uNEr/44os59dakSRMvL6/Y2Fij0Xj06NFevXolJydv2bJF2Tt8+PD8JWmZg4PDokWLevbsKYTYv3+/9QfaduwArEShDAAAAFBaGY1GtcokW4mJideuXbt27drevXuFEH379h09erSjY05raAMAAAAoy+6fuBy793SeDqndsYGD3YOs2x818DmU5p11u1H+b6FMXGxC6InovCYJ5JVXQ4/4+gnFnUWeNfNw9XC4q77USs5CW6fAvWrL6FISJmG7QhkhzL+lYxRCsvKwgQF9//GPGUKI+PhHe3bvHjCwX7bN9uze8+DBH4siDRr8snnm2feg/No0ScL4RwXP7t371B4GD+gnZJMQ/y2U6d+//9tvvy2EuHr16unTp9u3b59tGnPnzrVyXNZQSjQmTZqU7d7Nmzer3+Pq0qVL/k4REBDw97//XQgRHx+/e/fugQMHZtts9+7dDx788bfS4MGDc+pNkqR33nlHWYDp008/7dWr1549e5RdLVu2zPf6ULlydXVVguTkZOuPsu3YAVipTP59CQAAACAbe/fuHT9+/LNnz4o7EQAAAAAAgNKkbl3vF7p3VeLXXx8dFXUra5uoqFuvvz5aidu3b+vj0zDPPdz6fdiosX/00PY5n4YNMjWoX79+p06dlPjll19+9OhR1k527dq1Zs0a64ZlrcmTJ1++fDnr9ps3b44d+0fCkyZNUitF8qpu3brdu3dX4mHDhkVFRWVtExUVNWzYMCVu3769j4+PhQ6HDh2qBAcOHHj8+LG6FtI777yTvwxNJtPUqVMtzNMjy/KyZcuUWB2LNWw+dgDWoFAGAAAAKAt27ty563/9+OOP27dvX7NmzejRo9W5rxMSEmbOnMkiRwAAAAAAAHkSHLxaCVJSUpo09l/5xVePHj2WZVmW5UePHq9aubpJY/+UlBSlzb/Wr5WkzNPVZOrhi5VmPTx+vPKrtT4t2qSkpCptvg3+KmsPQoivv/5aCe7du1evXr3NmzcnJCQIIWRZjo2NnTZtWkBAgK2HLkwmU4sWLZYuXfrw4UNZloUQjx8/XrlyZePGjfV6vRDC3t5+4cKFBTmFuq5QSkqKj4/PF1988ejRoz8v76OVK1f6+Piol/fbb7/N9uKoqlatqk5v87e//e3cuXNK3L9//3xnuGLFCi8vr549e27fvv327dvp6X+sq5Wamnrx4sVBgwZ9//33yhZlhhjr2XbsAKzB0ksAAABAWZD1HbIkSfb29p6enoGBgT169Jg4cWJqaqoQIi4uLjQ0tEOHDsWRZmaOjo7K0toAAAAAAAAlmbd3nV27tg0cOFgIYTQap06dPnXq9Gxbbt68wcenUa49TJk6fUoOPWzZ+C+fRg3l9GzWnGrSpMnq1asnTpwohEhMTHzttdeytvHz82vduvW//vUva8dmUVBQ0Pr16x88eDBjxowZM2Zk2+bAgQOVKlUqyFm8vb1/+umnAQMGCOXiTJkyZcqUbFtu2bLFmilVgoKCjh8/rrRXtgwdOtTFxaUgSQohDh8+fPjwYQsNXnvttd69e+epT5uPHUCumFEGAAAAKPsqVqyorGCtCAkJKcZkAAAAAKCQPEu8891PYx48iijuRACUTf3697l0ObxOndo5NahVq+a586cHDwnMfw81a1wIPTEk8GULaUyYMGHPnj1arTbbvb179w4NDfXy8rLQQ560atXqxo0bLVq0yHavm5vb2bNn87TYUE769+9/5cqVOnXq5NSgVq1aFy5cGDJkiDW9/eUvf9Fo/uej8KlTp+Y7N41GY77OVE7mzJmzcePGfMz4YtuxA8gVM8oAAAAA5YL544xLly4VYyYAAAAAUEhkIUwmoxBycScCoMzy9W3yW9TV06fDtm7dcSzk+LVrN0wmU+PGjbp26zJkSGCnTh0zFWdY6GHblh0hIcevXb9hMpka+zTs1qXz0EGvdOrYPtcehBB9+/Z99uzZhg0bdu7c+csvvxgMhmbNmvXs2XPw4MHt2rWz0Vj/q2LFiufPnz9y5MiPP/74888/R0VFOTk5vfjii4MHDx48eLBOp7PViXx9fW/dunX69OktW7aEhIRcu3bNZDI1bty4W7duQ4cO7dSpkzUXR+Ho6Dh69Ojg4GDlpYuLSwHnV27QoMG6des+//zzQ4cO7d2799dff71+/bpGo2nQoEGrVq0GDBjQv39/V1fXfPdvw7EDyBWFMgAAAEC54OzsrMbqIsqWGY3GK1eunDt37urVqzExMQaDoXLlyi1atGjZsmXbtm1t+BCkKJXJQQEAAAAAAGv069/HaEouYCcajaZjx/YdO7YvYA+dOrQXsiyEECZJGDPy2omLi8ukSZMmTZqU7d758+fPnz8/3xlmpdFoevbs2bNnT1mWZVlWtuR61Lp169atW5fXE3Xs2LFjx475TLQAZ7ewtpTK1dX1lVdeeeWVV/KUiTU9iwKM3cqR9u/fX7l3ACiUAQAAAMqF1NRUNa5Vq5blxrIs79+/Pzg4OFNJzd27d+/evXvgwAGtVjthwoSXXnopH3PJmktLSxs2bJgST5kypUePHuZ7V65ceejQoTx12KVLl2nTpmW7q8gGBQAAAAAAAAAosSiUAQAAAMqFq1evqnH79pa+85SSkjJ79uyIiAgLbYxG45dffhkWFjZr1qyclsS2ktFoVAKTyZR1l7o3r71lUsSDAgAAAAAAAACUTBTKAAAAAGVfYmLismXL1Jd/+ctfcmqZnp7+9ttv379/X3lZtWrVUaNG+fn5ubm5SZKUnp4eERGxdu3a6OhoIcSZM2eWLl06c+bMws6/gMrkoAAAAAAAAAAA+UChDAAAAFBmGY3GJ0+ehIaGrl+/Xl166c0336xSpUpOhyxfvlwtKOnbt+8bb7xhPreKo6Ojn5/fsmXLVq1adfDgQSHEL7/80qdPnxYtWhRG/lOnTp06darlNrIsL1y4MDQ0VHnZsmXLrG1K1KAAAAAAAAAAAMWIQhkAAACgLAgMDJQkyXxL1kWIateuPWXKlCZNmuTUyc2bN48fP67E7dq1mzhxYqY+FRqNZvLkyREREb///rsQ4vPPP//666+zbVkEgoOD1SqZgICArJPllMZBAQAAAAAAAAAKCYUyAAAAQFlgMpksN+jdu/eYMWOcnZ0ttPn+++/V+O2337ZQJiJJ0pQpU6ZPny6EePjwYWxsbO3atfOYsg3s2bPnxx9/VOKOHTuOHTs2a5tCHVRMTMxbb71luY2Li4sQIjU19cmTJ5ZblmfKD7Ber+cqlR/mv7VMJhO3vvyQZVkJuOnlh3rTFQkJCZSiljeJiYnc9BIiIyMjr4cYjYZsP0aQTXI2W4HikPVbIqVCKU0btiXLQvkLUhZyNn9TykobWc7tmU8hUf8VJ8tyts+dcn0YhbKKW18OFcZNl2U5ISHB+vYpKSk2TIZCGQAAAKBcOHDgwIEDBwIDA4cPH25nl80bgdTU1DNnzihxt27dXF1dLXfYsGFDJycnZUWnX3/9tegLZc6cObN69Wol9vHxmTlzZtYPYAp7UAaD4e7du5bbNGjQQAghyzKPQXPFVSrPuPXlDX/eyzOeqpdD3PSSI1PhWgnpCiiwUvnTyB8iWKkYf1C+/vrrr7/+uvjOD6CMy+uTAds+RqBQBgAAACgLdu7cqdVqM200mUzJycmRkZHffffdzZs3hRA7duw4f/78Rx995OjomKmxsuSQokuXLrmeUZKkFi1aKMseXb9+vYD551VUVNS8efOUuFq1agsWLMg6fFHaBgUAAAAAAAAAKGya4k4AAAAAgA1kO5u9RqNxdXVt3br10qVLR44cqWyMiopauHBh1saxsbFqXKdOHWtOqk64cuPGjTxnXADx8fEzZ85UYmdn56VLl2at+1GUokEBAAAAAAAAAIoAM8oAAAAAZZ8kSYMGDQoPD79y5YoQ4sKFC9euXWvatKl5m9u3b6vx1KlTNRqN+HMuaFmW1UAIYTKZlECd7jIxMVGW5WyLdWwuJSVl+vTper1eCKHRaJYuXeru7p5T48IelJub29ChQy0nfPnyZSGEnZ1dTtU8EEJkZGQYjUaNRqPT6Yo7FxQRg8FgMBiUWJIkBweH4s0HRcZoNGZkZAgh+K1YfphMJuUvboVOp1P+RkZ5kJaWJrjpJUm2szDmJvt/DxfNP/4Ba0hSqfwNo+EPEYQQ0h9LK1n4aZCEECXvp0V5hMLfBeWK+YJx3PpypfD+vGs0mjw9GbDtiq4UygAAAADlgiRJr7/++qxZs5SXP/zwQ6ZCmdTUVDVWPtIogTIyMv75z38+efJEeblgwYJatWpZaF/Yg6pSpYo6t01OJk6cKITQ6XQVKlSweQJlRlJSktFotLe35yqVH8nJyeaFMtz68kOv12dkZHDTy5WMjAzzQhlnZ2c7O55JlhfKP8CcnJzs7e2LOxcIka9CmZwOkTR8QoaSopSW4mnyU7iGskbKNvzfbZIklbRCGbVggmqJ8sO8SkZw68uZwiuUyeuTATUHm/zVXyr/9QAAAAAgH+rWravGv/76a6a3uCX/IytZlhcsWBAdHa28/Mc//tG8eXPLh5T8QQEAAAAAAAAAihJPjQEAAIDywtnZ2fxlamqq+Zbq1aur8aZNm1xcXIouMyvIsrxy5cpz584pL4cNG9a9e/dcjyrhgwIAAAAAAAAAFDFmlAEAAADKqYyMDPOX9erVU+OHDx8WeTq52LZt28GDB5W4R48er732mjVHlfBBAQAAAAAAAACKGIUyAAAAQHmRkpJi/tLBwcH8pfnCTOHh4UWTkpWOHz++YcMGJW7RosXUqVOtXBa3JA8KAAAAAAAAAFD0KJQBAAAAyovff/9djV1cXBwdHc33uru7N23aVIm3bNliMBiKMjcLrl+/vmTJEiX28vL64IMPNBpr38iU2EEBAAAAAAAAAIoFhTIAAABAuSDL8vfff6++7N69e9Y2I0eOVILU1NS1a9cWUWYW3bt3791331ViNze3JUuW6HS6PPVQAgcFAAAAAAAAACguFMoAAAAA5cLOnTuvXLmivgwICMjaplmzZp07d1biffv2BQcHG41Gy93Gx8dv2LAhOTnZhqmqEhMTp02bpuRgZ2f32Wefubi45LWTkjYoAAAAAAAAAEAxsivuBAAAAAAUFlmWU1NTf/vttw0bNly/fl3dPnz48OrVq2d7yNtvv/3bb7/FxcUJIX744YdDhw799a9/bdOmTaVKlZSpXEwmU2pqanx8/LVr1/bv3x8VFSWEePnll22evMFgmDFjRlJSkvLy448/rlq1av66KjmDAgAAAFCoKrrWGhnwbXFnAQAAgBKNQhkAAACgLAgMDJQkyXyLLMsmkylry169eg0ZMiSnfhwcHJYtWzZ//vxLly4JIZKSklavXm3zbK2RmJiolLYogoKCrDmqS5cu06ZNy7Sx5AwKAAAAAIDC5mTXyF6T/ddjShF7TbXiTgEAUGZRKAMAAACUBdnWxGRSo0aNyZMn+/n5WW7m6Oi4YMGCsLCwFStWPHv2zEJLSZL+8pe/DBgwwNXVNW/p5l2u6yVZblYyBwUAAAAAgM05ausLbXEnAQBACUahDAAAAFBm2dnZVa9evW7duk2aNGnTpk2tWrUyzTqTE0mS2rVr9+2338bExISFhUVGRkZERDx9+lQIUa1atdq1azdo0MDPz8/Hx8fe3r6QB2EzZXJQAAAAAAAAAIA8oVAGAAAAKK22bNlSqP1LkuTt7e3t7Z2/wx0dHXft2pXvNh4eHrkeng8FHBQAAABQejX/x+B6Q1/I0yEOzjo3Vznr9so6x7lV62XdPniulP5n3LJtrfFjOuU1SWIjhEAAACAASURBVJRSqampBoNBp9M5ODgU8antXCS5bhGf0wbqVZDddI3Vl3aaipKkK3CvGiGy+QNb6kl2ktAUdxKFRvlCkyQLTTYf2koaWWiZHQgAbI9CGQAAAAAAAAAAyr4aL7a2VVfuQvTPbrvWbA5LL2/3Tt3r2+qMKOESEhL0er2Tk5OLi0tx54KyRhKSKKuFMlKWIBOKZACgcJTRv1cAAAAAAAAAAAAAAACA/8WMMgAAAEApcP/+/UmTJinxvHnzWrRoUbz5AAAAACiHEjMSkjISnyTZP0rM/lu4JrNVX+7HJZ4/E5uPs0gOklQrfwmi2KSkpBgMBp1e55juWMSndtJKdSpk5LRX9yRZGHLcW4I4V5EqVCtoJ5JWSBohhEg8K6ffL3hSxUuq0Ew41hFCmAxG2Wgq7nTyQOtgX9wpAAByQaEMAAAAkL1hw4alpaUp8fbt2zWa4pyOUZZlo9FYjAkAAAAAQEzSrWtPLt+IarAjPCXbBnqzD7PDTtz+LP4/+ThLzXrujwOT8pkiyp96bu6jGuVYklXpt3j7u78VZT75IzXoKXz6FbQXe2eh1Qgh5LQYkXLTBmkVL4eaSqGMISnVkJpe3NnkgbNnJSHltJYSAKBEoFAGAAAAyJ7RaKQ2BQAAAAAAAACAsqQ4vxQLAAAAAAAAAAAAAAAAFBkKZQAAAAAAAAAAAAAAAFAuUCgDAAAAAAAAAABKvSe/3/m6x8h7F28UdyIAAAAo0SiUAQAAAAAAAAAApZ8smwzG4k4CAAAAJR2FMgAAAAAAAAAAAAAAACgX7Io7AQAAAKC8MBqNV65cOXfu3NWrV2NiYgwGQ+XKlVu0aNGyZcu2bdvqdLq8dpiRkREaGnrixIkbN248efKkYsWK/v7+7du3b9u2rVartbITWZZjYmIuXrx49erV33777fHjx3Z2dl5eXo0aNWrTpo2fn18+ElO6vXz58rFjxy5evPjo0SMnJ6fGjRu3bdu2S5cuzs7Oeerq4cOHJ06cuHbt2vXr15OTkx0dHX18fHx9fZ9//vmaNWsWb24AAAAAAAAAgNKFQhkAAACg0MmyvH///uDg4PT0dPPtd+/evXv37oEDB7Ra7YQJE1566SVJkqzs89KlSwsWLEhNTVW3xMfHHz58+PDhwy4uLrNmzWrevLnlHpKTk3/++edt27YlJCSYb9fr9REREREREXv27JEk6c033+zVq5eFxO7fvz9p0iQlnjdvXosWLe7duzd79ux79+6Z9xkaGhoaGrpq1arp06d37drVmjE+e/bs448/vnTpUqb0zpw5c+bMmW+//bZ+/frvvfdetWrVij43AAAAAAAAAEBpxNJLAAAAQOFKSUkJCgr68ssvM1XJmDMajV9++eX8+fONRqM1fYaGhs6aNcu8SsZccnLye++9t3fvXsudzJw5Mzg4OFOVTCayLK9cuXLu3Lkmk8lCG+OfhBA3b96cOHGieSVKpsaffPLJvn37LOcmhLh06dLo0aMzVclkEhUVNX78+BMnThRxbgAAAAAAAACAUooZZQAAAIBClJ6e/vbbb9+/f195WbVq1VGjRvn5+bm5uUmSlJ6eHhERsXbt2ujoaCHEmTNnli5dOnPmTMt9hoeH79ixQwjh5eU1ceJEHx8fR0dHk8l079697du3Hzp0SGn21Vdf1ahRo1WrVpZ78/b2HjBgQNOmTStXruzk5CSEMBqNT548CQ0NXb9+fVpamhDi7NmzGzduHDFiRK7jvXz58tatW2VZbtKkyciRI+vXr+/k5CTLcnx8/NatWw8cOKA0+/LLLzt27FixYsWc+vn9999nzZqlvvT39x85cqS3t7e9vb3BYLhz587GjRtPnz6t7F28ePH8+fP9/f2LJjcAAAAAAAAAQOnFjDIAAABAIVq+fLlaJdO3b981a9Z07dq1YsWKGo1GkiRHR0c/P79ly5b16tVLafPLL79YnkNFCKFUyXTp0mXFihX+/v5OTk6SJGm12lq1ak2dOnX27Nlqyw8//DAjIyOnftq0abNq1aoVK1b06tWrdu3azs7OkiRJkmRnZ1e1atV+/fpt2LChadOmSuOtW7c+efIk1/Fu2rTJYDCMHDly8eLFzZs3V/rUaDTVqlWbPHnyG2+8obbcvn17Tp0Yjca5c+eqL8eMGTN//vxGjRrpdDpJkuzt7evWrTtr1qy33npLbbNw4UK9Xl8EuQEAAAAAAAAASjVmlAEAAAAKy82bN48fP67E7dq1mzhxoiRJWZtpNJrJkydHRET8/vvvQojPP//866+/zralysvLa/r06RpNNoXvzz333IQJE9asWSOESEtL27t3b0BAQLadjB071nL+Dg4OH3zwwahRo5RFo/bv3z9s2DDLhwghevToMXjw4Gx39e/f/4cffnj48KEQ4sCBA2PHjs12mEeOHHn06JES9+7d+5VXXsm2t169et2/f3/r1q1CiLS0tO3bt+eaXsFzy+Tx48dKAhYos/JkZGSkpKTk2mG5ZTAYhBBGo5GrVH6Yl/HJssytLz/URQa56eVHpgUc09LSsv03DMqw9PR0C9XbKF2UW2kyWbVibL7Jco4LvwJZWVgpWAghW9wLFAZZlos7hSJSfkaKTLj15VBh3HRZlpUHp1ZKTU1VAst/9VuJQhkAAACgsHz//fdq/Pbbb1sovJAkacqUKdOnTxdCPHz4MDY2tnbt2hZ6njx5soVPmPr06fPdd98pH0Bu3rx54MCB1tR8ZMvZ2TkwMHDTpk3C6kKZcePG5bRLkqTAwMDVq1cLIdLS0h4/fly5cuWszf7973+r8ZgxYyyc69VXX925c6dSY7F9+/ZXX33V8gdvBc8tk6dPn65du9ZymwYNGggKZaxjMBiUu4nyhkKZcoibXp7l6UkoygZuelmiFMoYjYVbeWAy8fEb8sDyD4xNPksD8qT81BCUn5EiE259OVQYN91kMuXpyYBtHyPw7Q0AAACgUKSmpp45c0aJu3Xr5urqarl9w4YNnZyclPjXX3+10NLR0dHX19dCA61WGxgYqMRJSUn37t2zNunstGrVSgmePHmS64ccrVq1sjxSdS0nIcTjx4+zNoiPj1emdRFC9OjRw9nZ2UJvOp1u4MCBSqzX65UpeQovNwAAAAAAAABAaUehDAAAAFAozIs2unTpkmt7SZJatGihxNevX7fQsnPnzrnOENO6dWs1joqKyvXsFri7u6vxs2fPLDdu27at9b09ffo0a4OYmBg17ty5c67pdejQQY1v3rxZqLkBAAAAAAAAAEo7ll4CAAAACkVsbKwa16lTx5pDateuHRoaKoS4ceOGhWaNGjXKtavq1atnm0lWsizfvn378uXLV65cuXPnzr1799LT080bmM9TnZCQYN5zVp6enpYT0+l0aqzX67M2uHPnjhrXrFnTcm+ZzhgdHV2ouWWl0WhcXFysaSmEyPcCWOWBOn0rV6n8yDRnL7e+XFHuPje9XDH/I8+tL1f48172KHeTWwoAFvFbEgCskqd3CrZ9W0GhDAAAAFAobt++rcZTp07VaDTiz48KZFlWAyGEyWRSAqPRqLRPTEyUZTmnf/pXrVo117OrqzgJIeLi4nJqFhYWtnr16gcPHlgxICGsKB9xcHCwsqucmGfr5uaWa3vzOhXzIpusCp5bVnXr1g0JCbHcZuLEiUIIZ2fnypUr2zyBMiMpKSktLc3BwSHXRcpQZiQnJ6empiqxRqOpVKlS8eaDIqPX6xMSEiRJ4rdi+ZGRkWE+KZ27u7udHc8ky4v4+HghhJubm729fXHnAtu49yRWpAk7O3shMgrvLFqttvA6R9ljZ2fpB0bLXzoochqNVLYrCtXnWsrDLpQH6k1XcOvLFeVblIVx0zUaTZ6eDDg6OqoH2uDsBe8CAAAAQFbqB8BCiLS0tJSUlJSUlNTU1NTU1LS0tPT09PT0dL1er9frDQaD0WhUq2RyZT7xSU7MnyxnmiFGtWbNmvnz51tfJVM0MjL++8Ddmk/RzN8X5TRSAAAAAAAAFK9PP/1Up9PpdLrFixcXdy4oEG4lygAKaQEAAIBCUXhflbZmVSDz9ZKyLaw5evTo7t27lVij0fTv379jx441a9Z0cXGxs7OTJEmdz+bu3buTJk2yReJWMf+2sTXFQ+YjLYw5YwAAAAAAQBmWrteHngk7cjzk3MULV65dffrsqdbOrkkjn45t23d5vlO3Tl1cnJ2LO8fCMmfOnEWLFgkhli5dOmXKlMI+nclkUr4fZf4wp2wr4itcEHlKtRzeSpQ9FMoAAAAAhaJ69epqvGnTJvMVggpImcHespSUFDWuUaNGpr1Go3H16tVK7ObmtmLFCg8Pj5y6sn6qG5swv26JiYm5Xrfk5GQ1rlmzZmGlBQAAAAAAypakpKTFyz79/Msvsn7YH3Y2POxs+PLVq4QQUyb87f+C3qlguwc7JYfRaKTcoVCVoitcilIFbIKllwAAAIBCUa9ePTV++PChDXu+efNmrm3Mz+jl5ZVp7927d9X6kqlTp1qokhFC3L9/P+855p95tnfv3s21vXl63t7ehZITAAAAAAAoW46d+KWef9NPVy7PtSxgxZovvZv77Pjpx6JJDABQBCiUAQAAAApF3bp11Tg8PNyGPR8/flyWZcttzp49q8bmJTuK2NhYNW7SpInlrmybfK7q1Kmjxr/++muu7UNDQ9W4QYMGhZITAAAAAAAoQ9Zv+q7PkJdTUlOVl/W8vVd+8tmlk2ce/nY76c7DpDsPH9yMOX04ZObb0xwdHIQQaenpIyaOe/L0SbFmDZQUM2bMkGVZluV33323uHMB8olCGQAAAKBQuLu7N23aVIm3bNliMBhs1XNqauqNGzcsNDAajTt27FBiFxeXrAsSpaenq7FWq7XQVXp6+oEDB/KbaX5UrVq1SpUqSnzw4MG0tDQLjTMyMnbt2qXEOp2ufv36hZ4fAAAAAAAozY6fPPHm9L8rsb29/Ter1lw6eWb06yPq163r7OQkSZIkSS7Ozs2bNvvgn+/FXvvtrTcmFW/CAACbo1AGAAAAKCwjR45UgtTU1LVr19qw55UrV1qYGfjQoUNJSUlKPGTIEEmSMjVQK1GEEDExMRZOFBwcbMMSHyu9+uqrSiDL8vfff2+h5c6dO9Win4CAAI2GNzgAAAAAACBHySkpg0YOU2KdvS485OTQlwOzPjlROTk6Lp67YPu3myx/0QgAULrwHBkAAAAoLM2aNevcubMS79u3Lzg42Gg0Wj4kPj5+w4YNycnJlptFR0evWLEi21qZCxcurFy5UokdHBz69++ftY23t7caf/HFF9mWwsiyvHnz5n379lnOpDD07NnTw8NDiX/44YecprQ5duzYd999p8QODg5DhgwpovwAAAAAlEge9bwmHNvo6de4uBMBUHIt+/KL5JQUJf5ubXCDupmXq87WSz3/cvpQiIXv58iyHH7+3KwFc7r16+Xm7l6hQoXnnntu2rRpp06dsvBNJ3MRERFLly7t379/9erVnZyc6tat++qrrwYHBz99+tSaw5UePvroo549e9asWdPBwcHNzc3Hx6dfv35z5swJCQkxf9Yky7JOp9PpdAsWLFC2/P3vf9dlcefOnZzyHDBgQI0aNfKXZ75NmDBBSWzz5s3KKE6cODFjxgw/Pz8XF5eqVasOHTp027ZtuX7jK1M/QoinT59+8cUX3bp18/Dw0Ol0Q4cOzXSILMthYWEzZ85s3769m5tbrve3IFdY8eTJk6+//vr111/39vZ2cnKqXr16QEDAF1988fDhQysv17Nnz7777rsxY8Y0adLExcWlUqVK/fr1W7Vq1ePHjwue6qeffqpsX7x4sYUc8nrdVFnvUVJS0qpVqzp16lShQoVKlSr16dNn3bp1KX/+WQbywa64EwAAAADKsrfffvu3336Li4sTQvzwww+HDh3661//2qZNm0qVKul0OiGEyWRKTU2Nj4+/du3a/v37o6KihBAvv/yyhT4HDBjw008/HT58+NatW2+88UajRo10Op3JZIqPj//hhx92796ttpw5c6ZylkxcXV07dep04sQJIcTt27cnT5785ptvNm7c2NHRUQiRkpISGRm5fv36mzdvCiEGDx68bds2W16U3Gi12vfff3/atGnKy5UrV545c2b48OG1atWys7MzGo1xcXGbN28OCQlRD3nnnXeU5AEAAAAAALJlMBg+Xv6ZEvs3b9H3L72tP7Zp4yY57YqM+u2Vvw69FR1tvjE8PDw8PPyzzz6rU6fOvn37fH19sz1WluWDBw8GBQVdunTJfHt0dHR0dPSWLVvGjRu3ZMmSadOmWSjTSUhIGDRo0KFDh8w36vX6xMTEyMjIvXv3zp0719PTU3k8pcjIyMjUSdYtsizbNs8CMhqNSpImkykxMbFnz56hoaHq3pSUlK1bt27durVy5crHjh3L6YJn6kcIsWXLlmHDhpnXbej1evP2ERERffr0UR7ZqXK9v3m9wqr09PSgoKAVK1aYb0xLS9u1a9euXbumTJkya9asOXPm2Nnl+Cl/enr6O++88/nnn5tvTElJ2bt37969eydPnvzee+/Nnj3bwcEh36maTCbza5it/F03RaZ7FBIS8tJLL6nrsycnJ+/fv3///v0zZswICQnx8/PLKQfAAgplAAAAgNwFBlqahtfc8OHDBw0apL50cHBYtmzZ/PnzlecISUlJq1evLmAyHTp0aNq06ccffxwVFfXuu+/m1GzcuHFt27bNae+UKVMuXLigrNAUFxf3/vvvZ9ts8uTJ/v7+RVwoI4Ro2LDh3Llz586dq7wfPn369OnTp3NqPG3atDZt2hRhdgAAAAAAoPQ5e+G8WgHw7rQgKx/1WHY45D8Dh1ma4zYmJqZZs2a7du0aMGBA1r2nTp166aWXLJ8iKCjo7NmzGzduzDbhjIyM9u3bX79+PU9p51XB87Shy5cvBwUF5TQdy6NHj5o1a3by5MmOHTvm2tXWrVvVFcBV5kUhBw8e7N3bUkGV5fubV48ePWrdurXlddIXLlx49OjR//znP/b29ln33rt3r3Xr1uZFUVktWrTI29t7woQJBU03Zza8bidPnnzhhRey3fX06dPWrVtHR0fXqlUr36mi3GLpJQAAACB3JpPJaJ2s3wVxdHRcsGDB//3f/7m7u1s+iyRJvXr1WrFihaurq+WWnTt3njNnTrazxQghnJyc5s+fHxAQYKEHZ2fnL7/80sfHJ6cGjo6Oc+bMsfyetlC1atXqm2++adIkxy9sCSHq1KmzZs2anN4tAwAAAAAAqH4N/e+XcLo+36ngHcbevWNeJbPw/+ZEnb9qNBiU2XCXLFmi7ho4cGCmqTXMeXp6Ll++/Nq1a4mJiSaTyWQyJSQkHD9+vEuXLkqDTZs25bQ69qZNm9QqmTlz5ty4cSM5OVnpRK/XP378+Pz588uXL2/ZsqV6iCRJsizLsvzee+8pW5YuXSpn4eXllW2eV69effbsmcFgyFOeNrRo0SKlSmbBggV37txRnsjdu3fvk08+Udv06NHj2bNnlvs5duzYsGHDlH5u375tMBiUgf/4449Kg9u3b5s/Gfv444/j4uKU01m+v/m7wnq9vl27dkqVjEaj+eCDDyIjI9PS0pTpW6KioqZPn660VNacyjqitLQ08yqZF198MSQk5NmzZ8qDzcePHx85cqRXr17mh+T7h8GCfF+3rEJDQ7t37y6E+PDDD2NjY5WfuocPH86bN09pYDQap0yZYn1ugIoZZQAAAIBCJ0lSu3btvv3225iYmLCwsMjIyIiICGXx5mrVqtWuXbtBgwZ+fn4+Pj7ZfhckW61bt964cePp06dPnDhx/fr1p0+furm5tWrVqn379h06dNBqtbn24O7uvmTJksjIyKNHj16+fPn27dtKPr6+vh07dmzVqpX1yRQSDw+Pjz/++MGDB7/88svVq1evXbuWlJTk7OzcuHFjX1/f559/Pk/v0gEAAAAUkItdhWpOnskezu28HbJtcFGS1DUYKldz8fXzzMdZ3Ks5VqtYIb85ongoHzBrNBpr3o3aVnUnBwdtNsuXKDQVdFLV7H9cS5YKnkJT4M/sCnkaj+KisdNqHWzzgOL8lYtK4OjgWKlqlYJ3ODnoH0qg0+lCQ35p4tNYCKHRaIQkeXp6zpgxo1+/fi1btlSW8hkxYsQvv/ySabYVJyenHTt2DBw4MNOfHVdX186dO4eEhLz//vsLFy4UQowfP/7OnTtZJ2vZtGmTEqxbt27s2LHmu+zt7T08PDw8PPz9/bMtJlCXScr1T655nkrlhBBCkiTr87S58PDw1q1bqy+rV68+ffr0Pn36+Pn5GY3GtLS02bNnL1u2zEIPX331lVarvXTpUvPmzbNtMH78eCXQ6XTnz59v2rSpusvK+2v9FRZCLF68WKkaqVKlyvnz581nSbGzs6tXr94nn3wSGBjYqVMnIcTy5cv/8Y9/1K1b17yH9957T62SWb9+/ciRI9VdkiR5eHh07969e/fuFy9eVB4D5jtVywp+3VSff/65s7PzlStXGjZsqG6sUqXK+++/X6tWrXHjxgkhdu7c+fjx40qVKhUwbZQ3FMoAAAAA2duyZYttO5Qkydvb29vbOx/Henp67tq1K9NGBweHrl27du3atSAp+fj4WJhXJqdT56mBOVdXV+sbK6pVqxYYGBgYGJinoxSFnRsAAABQrtR1bVDXtUHXGmJUDmuffjtOMvwZd+zq/c95fymq1FDMEhIS9Hq9k5OTi4tLcefyv5oVdwIoMLsKTnbCySZdnTl/Tgn8W/o7VHIrYG/R0dGH/nNEiTds2ODfIZv1r5s2bbphwwZlcZ+TJ09GRkZmegjTsmVL87leMpEkad68ed9///2tW7fi4uJu3bpVv379TG1u3bqlBJlmCrGtgudpW8uXLzevklH5+vquXbtWKRhavnz5okWLLP9S+uqrr3KqkomOjj548KASb9iwwbzaQ5Xr/bVeUlLS7NmzlfjIkSM5rSX0/PPPz5kzZ86cOUKIdevW/T979x3X1PX+AfzcDEaQoSDgFgU3oOKuqw6cOGmVuv22FrVofyLW0VrU2tZa2joRa23dgypWrUDdAwfgQFQUEQUUmYJAQghJ7u+Pa+8335DcJBD25/1HX0+Sc899co5QcvPcc9atW8e+lJ+f//PPPzPxmjVrVKtk1Li5ubm5uZUvT52MPm6HDh1SrZJhzZ49+4svvsjJySGE3Lp1a9SoUcZ5A1BvYOslAAAAAAAAAAAAAAAAAKjjMjMzmUBbFYJB2JttGjZs6O3tra2Zt7e3ra0tEx87dszQs/B4vMWLFzNxVFRU2QZshcH58+cN7dyIdOZpXJ988om2l6ZPn85uVn7t2jWOTng8Hkc1SdXMLysyMpIJBg4c6OrqytFy3rx5TLBjxw6NCZuYmCxfvrzcmVSQccfNxsbGy8tL40s8Hm/69OlM/ODBg3KmC/UYCmUAAAAAAKAWe/r06cR/savLAgAAAAAAAABUqosXLzLB7Nmz2W1ryuLxeOyOSOWrZWnfvj0TPH78uOyrc+bMYdNYunTp/fv3FQpFOc5Scdx5GtGYMWPMzMy0vSoUCtn6DO5CGS8vL7akpqwqm1/GmTNnmGDatGncLR0cHJggJyenpKSEfZ4ttZk7dy7H+6psxh236dOnc2zjxa6Lk5SUVJ5coX7D1ksAAAAAUE/5+PhIpVKOBiKRqHnz5k5OTt27d+/SpYtIJKqy3MAg7AUgZodsAAAAAIByUBSXHG4+RWeznkMb05Liss8re7Z7OkvD5gK1V0Gh3W8X+IYeVSJXsnHkyce5z48YNSmoudiPYxzfaAKHwZ4uI8ZV9HeISGQiNDH4x7bmk0hkpTLjVH40amQrFosJIa9epr/N1/DLnCUw4SsESo4GhJBb0dFM4ObRvUDGdYnJtXs39hCNLRUKRcyt6Ivnz0ffvPU0MTE7K0u12IWNnyQ9LXv4+6NGDBk27MK5c4SQoKCgoKAgQki//u8N8/QcMGiQe7eupqam2hKTKdkrKqVK+n8GhCcr1ZjnzeiYs+cu3rgV/STxaWZWtsY8k5OekJKCd89SPGLSQFsC5dOvXz/uBn369Dl48CAhJC4ujqNZ7969OV6NiYnRpxkhpFevXkwQ/e8/iXK4efMmEyxevDggIIAQQtO0UqlUDZRKJRszCgoKGjduzMQ3btxgggEDBpQ7jYoz7rhxL67DrklTWFhoQIoAhBAUygAAAABAvaVQKLjvsCksLExISEhISGBu6Rg9evTs2bM5blgBAAAAAIBaTZan+1sWWmyhKBKXfV4pk8qUskpIqtrIFKUFUoMr0VUPKJUpxUV1akwAKo+sRFHxWz/q7L0jNDHWfTEe3XukpaUSQu7F3ePuk6ZpWteIpr96xQQOjg7cjR2aODJBUWGhQqlQW2bj9F8nF8779G3+W13pE7FYXPZEFI/689SJQ/v2f7Vi5ZvcN8yT169FXb/2bv+j6bNnrVz9ZVPNu03RKsH/9lxmgMJOnp47b2H+W73yVDnc+P8wmzdvrmeDly9fcjTj3oGLPbZJkybcp2vatCkTFBYWKpVKjmVUOLDL8EilUu5b+1TJ5XI2fv78ORPoHJ9KZdxxa9CAq8qKPQT3zkE5YOslAAAAAAC9nDlz5uOPP36rx+UAAAAAAAAAAACoady7vlvZpaREWlhYwN24auwM3jH9w6n6VMlw4PF402bNTHqZevPe7R9++clz5Ag+/79rC+3/Y0+nNi77/9hTkVNsDd45acp0fapkahTu+gmhUFhlmeikuk4MsLBKGVQerCgDAAAAAEDCwsJUryAQQmialsvlubm5169f379/P3N/RkFBwbJly4KDg8t3awgAAAAAAAAAAFSXvn3+u2VPVNS1kSNHV6S3Jk2bvk5PJ4RkZmZyt8zMyGACkYWF6jWljNevl32+hInbOjsv/2pVj149bW3tRBYiPp/P48zwmQAAIABJREFUlgic++est9d4nfnweLwOHTt26Nhx3nxfpVL54vnzE8eOb/7p5/y8fELIZ5/O7+bh0dm1i+FvlKS/zvBbsoyJXZzbBn65vHfPHna2thb/m2fEP+dGjfcuR/+GevXvWj46G3CvGcOtWbNmTD8Z/06fNq9fv2YCi/+dX4M0adKE6ef8+fNDhgwpRw+tWrVKSUkheoxPparicQMoN/ybAwAAAADQcHcCRVFCodDR0XHSpEm7d+82Nzdnnn/9+nVF9hsGAAAAAAAAAIBq0b17D/ZGqaCgDRXcrqWbR3cmuHv7DnfLO7G3mcCjRw/V50MPH2GCrt273bx3+4OpU5zatLGythIIBKqXqnKysw3NjcfjtWnbdsmygCcpzz16vjvpzxt/NLQfxsEjoe/y79b14Z2bH035oG0bJ+syeWbn5JSvf0PdvHmTuwF77a5r167lPkuPfycrNjaWu2VMTAwT9OrVq9ynGzBgABOU+8Jjv37v6sCuX79e7jQqrorHDaDcUCgDAAAAAKCDjY3N4sWL2YeXL1+uxmQAAAAAAABAo7eFr/afmpOVm1jdiQBADSUUChcv9mfi2NsxFy6e1//YpKdPC97+z25NAwcPYoIDe/dy7JujVCoP7NnLxIOGDFZ96fq1KCb4YtVKjm2AIv4+o3+eakxNTVevW8PE5/75R+1VtsxFoVBwdHI16l3hxeqVX3DkeerviHLnaZDTp0+XlJRoe1Uul4eGvqvsYWtHyuH9999ngt9//517fn///XcmHjp0qNqreo4wIcTT05MJtm3bVr5tmEaMGMEEu3btKi0tNfRw/VPlZpRxA6gCKJQBAAAAANDN1dWVjePj46sxEwAAAAAAANCIJkSpVBBSoSUiAKBu+7/P/c3NRUw8Y8bUV69e6nPU5YsX+3broVZAMNprLBPk5uRGngnXdmzkmfDsf5eEGT9poupLhQWFTGBqZqrt8FcvX544dlyfJLVp0MCSCSRiidpLVlbWTJD75g1HDwX/5mmmPc+0l69Cj58of5aGUK2xKOvIkSNSqZSJ2WVaymH8+HfbXeXk5Jw+fVpbs9OnT2dlZTGxt7f6zlPW1v+OcG4u9+kmT57MBC9fvjx06FA5Eh43bhwTSKXSTZs2GXq4/qlyM8q4AVQBQXUnAAAAAABQC4hEIjbmuGdFjUKhePjw4d27dx89epSamiqXy21tbV1dXbt27dqzZ08TExND01AoFPHx8VFRUY8ePcrKypLL5Z06dVq/fj33IXfv3r1y5UpCQkJubq61tXWnTp2GDx/u7u5edsOpN2/eXL58OTo6OiUlpbS01MnJqWfPnp6enuxH5aqnUChu37598+bNuLi4vLw8Gxub9u3b9+vXr3fv3oYOIE3Tqamp9+/ff/To0bNnz968eSMQCJo3b+7i4uLh4eHm5laOGQEAAAAAAACAWqRBA8sDB45MmuRFCCkulvTs1fW3XXtGjRqjrb1MJvth/Xc/fr+h7EstW7UaMGjQ1cuXCSFzZ8y6cSemtZOTWpsXz5/PnTGLiXv06uns4qL6aucuna9duUII2b5py/tDh5a9UPM2/62X5yiOt6NUKlf4B3we4N+kaVONDWia3rF1GxMPGDRQ7dXmLVswwaWLVzjO4tql86Ur1wghP2/ZPnzo+2XzzH/7dshIL44ejG7hwoX9+/fv0qWL2vNJSUlz585lYl9fX0tLy3KfonXr1u+///7FixcJIT4+PvHx8W3atFFrk5yc7OPjw8S9e/du166dWoOWLVsyAdMPBxsbG39//6CgIELI9OnTHRwchg0bpq2xXC4PDw+3srIaNGgQ+2TDhg39/Py2bNlCCAkICHBycmKLb9QkJCSkpqayK9AYmio3o4wbQBXAijIAAAAAALoVFxezcbNmzXS2p2k6PDx86tSpX3755bFjxxISEsRicUlJSXp6emRk5IYNG6ZMmRIeHs6xGXZmZubEfzFr2CQmJs6aNWv16tWRkZFpaWklJSUKhUJ1JdWyhyQnJ8+aNWvt2rWXLl3KzMyUy+W5ublXr15dvXr1okWLCgsL2WMVCkVISMjs2bN///33hw8fFhUVlZSUPH78eN++fTNmzDh79izHm7169Sp7XolE/eYkNfHx8WzjbF17bD958mTmzJnffPPNuXPnsrOz5XJ5Tk5OVFTUxo0bp02bdueOji3AWWKx+MSJEzNmzPDz8/v111+joqIyMjJkMplEIklMTPz777/Xrl37wQcfREZGVnB7cgAAAAAAAACo4d4fPHTjDz8zcXGx5KNpH/Tt5xEaevjlyzT25qiSkpKkp09/3vhj22YtNVbJMLbvCnnXj0Ti0dltZ/CON7lvaJqmafpN7ptfd4R4dHYr/vdSyY7du9RKTMZNnMAE5/45O2OKz5PHj5nrPEqlMjMzc9eOne1bOSU/e/ax7zyOtxOyPbijk/P4kWNOhp149fIl+xakxcUP4x/MmOITevgI88z8RX5qx3br3o0Jbty4dfTIn9qu6kye8G6pkoh/zk2eOiPh8RM2z4zMzO0hu5q0bp/0LHnBpx9z5GlcSqXS1dU1KCgoOzubuZjz5s2bbdu2tW/fXiaTEUKEQiH3rWX6YNetkUgk7dq127p1a25uLjO/ubm527Zta9euHTtoe/fuLVtC5OHhwQQ3btw4cuQI93Wzb7/91unfWqvhw4ePGTPm6tWrBQUFzBtUKpX5+fm3b99es2aNra3tuHHj8vLy1Hr4/vvv7e3tmdjb23vcuHHR0dFisZh5prCw8Pr16xMmTOjUqVNKSkpFUuVW8XEDqAJYUQYAAAAAQLdHjx6xce/evbkbSySS1atXJyYmcrRRKBTBwcExMTGrVq3i8/llG9A0rbqib2xs7Nq1a7nPq3ZIfHz8qlWrtDVOSUlZvHjxjh07TExM5HL58uXLORJmbkYZPny4PufViW3MXZVy7ty5zZs3a3u1pKQkMDDQ39+/qZZbplQtW7YsLS2Nuw1N09u2bbtx48bq1at5PNxRAAAAAAAAAFBnffzxp05ObT6a9gFTVPH4ccK8T+dytBcKhdt+DWnYqKHa8y1atjwcdmzqxMmEEIVCsezzJcs+X6Kxhz8O7ldbToYQ0m9A/34D+l+/eo0Qcvqvk6f/Oln2wK0hwc1btti1Yyf3O7p88eJlzoVAJn/4wdDh6iuUtGrdukOHdo8fJxJCfHzerXwjFAqZ4Pnj+82aNiGEDOzfb2D/fleuXSeEhJ08HXZSw346v+3Y2rJF8+0hu7jzNIqAgIA9e/ZkZWUtXbp06dKlGttERkY2atSogidq1arVqVOnvLy8CCEKhcLPz8/PT73YiHH06FGNy6I4OTl16NDh8ePHhJCpU6cyT/53hJ8/V70fz8TEJDY2tk+fPk+fPiWEnDlz5syZMwYlLBKJ7ty54+7uzmyfdOrUqVOnTul5LHeqycnJ+lyCY1R83ACqAAplAAAAAAB0KCwsVN3ZV1u9CKOkpGTx4sWZmZnMw8aNG8+aNcvNzc3KyoqiqJKSksTExF9//ZW5byM2NjYoKGjZsmXcCdy+fTssLIwQ4uzsPHv2bGdnZ3Nzc5qms7KyoqKiNB5y7969Y8eOEUJ69Ogxbdq0Fi1aCIXC0tLS5OTkX375JT09nRCSk5Pz22+/zZ8/PygoKDEx0dTUdO7cuX369LG2tqYoqqCgICIi4sCBA0yHW7Zs6du3b4MGDfQctAp68OCBapXM0KFDvb29HR0deTyeVCpNSkrauXNnSkpKUFCQtlVky2rVqpWXl1fHjh1tbW3Nzc0JIQqFIi8vLzo6es+ePcz21Xfu3Dlw4MCMGTMq400BAAAAAAAAQA0xdOjwp4mpGzas3xGyTalUcrT8dMH8L9d8bWllpfHVkaNH3bx329trwkstt+g0adr0z5MnOruqbxJECKEo6s+/wj6cMJnZgKms4F07fWZMv3ThgrbceDze3YQHQRs27v9jD8dbWP7VqmUrV5Rdt4OiqBN/hXp078cuOkIIYVcvZm9woijqzIk/x076kNmAqaw/fg2eNd3n3IVLHDkYUbdu3VauXDlw4EBmQWU1VlZWly5d6tatm1HONXbs2IcPH44aNSo1NVVjg2bNmp05c8bNzU3jqxRFnTx5slu3btwjzGrUqNHDhw9/+umn5cuXc2Tl5OS0fv36sWPHaswnNTX1s88+Y5d1Kcvf33/mzJkVTJVbBccNoAqgUAYAAAAAQDPVKgp266UFCxbY2dlxHLV582a2Smb06NGffPKJ6oIxZmZmbm5umzZt2r59+z///EMIuXbt2qhRo1xdXTn6PH78OCFkwoQJc+bMYS9qUBTl6OiorUwkNDSUEOLr6zt69Gj2SRMTkw4dOmzevHnBggVZWVmEkPDwcBsbm6ioqKZNm27cuFF152Zra+spU6Y4OjoyuyMTQk6dOsXuH1ypFAqF6uq4X375Za9evdiH5ubmrq6umzZt2rx584ULF5h6IG4eHh4rVqxo3ry52vMCgaBx48ZjxowZNmzY6tWrExISCCGhoaFjx45t2FD9LjEAAAAAAAAAqEusrKzWr9+wevXaW7du3Lp1I/Z2zN27t9+8eWNiYtqhQ4fe/fr0HzRw0PuDtZXIsDp07Hg/MSE2Oibsz2NRV68mPn6iVCqd27n0HzBgovfk3v36cqxcK7KwOH02IuZW9KH9+y9fuPQ8OVlkYeHq7uY1ftzUadMa2epeE8WpTZutIcHf//jDpQsX/4mIiL556+mTRB6P59SmjVtX95FjRo8cPaqBygUfNS4uzplZKaFHj4edOBl3735a2kuNZUMWFqKLkadvRsfs2X/o/MXLz5KfW1iIurq5ThzvNXPaVNsKr91iKBsbm3v37l24cOGvv/46e/ZscnKyubk5c5+Vt7e3iYmJEc/VqVOn58+f37p16+jRo5cvX05ISFAqle3btx80aNCHH3743nvvca9M7OLikp2dffTo0bCwsHv37qWlpXEXZgmFwi+++GLRokXnzp0LDw+/efNmQkKCTCZr3rx5165dBwwYMGrUqE6dOnFsVyQSiXbv3r1hw4Zjx45duHDh2rVrWVlZVlZWvXv3Hj169NSpUxs3bmyUVLlVcNwAKhtlaP0XAAAAAEDd8OGHHzKLiBBCeDye2sfLsnsJtWjRws/Pr0OHDhx9JiUlLVnybondXr16rVq1StunVpqmFy9e/OLFC0JI48aNd+1S36Y6IyNj3rz/bkHt7u6+du1a7i171Q4ZNWrU/PnzNba8c+dOYGCg6jN79uzRWBpC0/S8efOY0h9ra+t9+/aVbXPlypUff/yRiQ8fPiwSiTiSVN0QateuXezGyaoiIyO3bdvGxHPnzp0wYYLGrmia/r//+7/k5GT2mR07dui/DKwaiUQya9YsZidvHx8fPUuCSktL2boobQIDA+/du+fr6ztnzpzy5VYfSCSSkpISExMTCwuL6s4FqkhxcbHqL2Fra+vqzQeqTGlpaVFREUVRNjY21Z0LVBG5XF5YWMg+tLKy0rjvJNRJeXl5hBBLS0uBoBbcsakoLjlg5aWzWd9Rjsoicdnnle91fPyxhtUCaq+Ct423/WPwxN1bPUYpe/e/+K4dJrm11/zHfCXJL3x18sKKkf1X2du2r8rzAlTc8DEdxnpX9HeIyMLExIRPCKGzTxBJkjHyqk5Uo+HE0p0QIhHLZDIDdnw2CoEJTyEsf4lAbcGjKAuB5rfJKyk1zjkoHjHVWqZjkP/85z+7d+8mhBw8eLBqbuUCFk3TqkUFqHGpV5h6qcqYdJqmDSrGEovFQ4YMIYQcPXq0TZs2FTx7Lfh8AgAAAABQ2XT+RT5ixIg5c+Zwl4AQQg4ePMjGixcv5qhroSjKz8/P39+fEJKdnf3y5csWLVpw9Ozr68tdJVPWrFmztL3Upcv/XH2bNGmStgVUKIoaM2YMcxni7du3hYWFltpvQjKWw4cPM4G5uTmzn7G23BYuXMiMYcWJRKJJkyYdOnSIEBIREaHnBZe0tLQPP/yQu03btm0JIVKplPmiCDjIZDJme3iob5RKJX5A6huapjHp9VZBQUF1pwBVTbVSqiZTSvX6O0TbracKRV37PlWuUOAbBACAuq1qVlOoyKokqtj/BRv65ToYHca/HqqMSVcqlfn5+fq3l0gkRkwG1V4AAAAAALpFRkZOnTr1jz/+kMvl2toUFxfHxsYy8aBBg3QWlDg7O5ubmzPxjRs3OFra29s3a9bMoIR79OjBUdZjYmLi4ODAPhw6dChHV+3atWNjgz66lE9ubm5ubi4TT5gwgfuOc2dnZytdCyDrj92+Oi8vj13oAgAAAAAAAAAAAADqEtSDAwAAAACQsLCwsgUZSqVSLBY/ffp0//79SUlJhJDjx4/fu3fv+++/NzMzK9sJs48SY8CAATpPSlGUq6trdHQ0IeTx48ccLfXpTY2Hhwd3g6ZNm7J7BjVp0oSjpep+KPn5+dwr31Sc6jD26NGDuzFFUYMHDz558qRRTq36Tt++fatxlgEAAAAAAAAAAACgVkOhDAAAAAAA0birEY/Hs7S07N69e7du3Y4dO7Z3715CSHJy8vr169etW1e2/cuXL9m4ZcuW+py3RYsWTKHMkydPuJvp05sq1QVjNGLXmzE1NRUIuD4XmJqasnFpqZE2qNYuPT2dje3t7XW2ZzY20gdN02lpaQ8ePHj48OGrV68yMjJKSkpUG6gu2llQUKBzDAEAAAAAAAAAAACg1kGhDAAAAACADhRFTZ48+fbt2w8fPiSExMXFJSQkdOzYUa1ZWloaGy9atIjH45F/t0+maZoNCCFKpZIJFAoF076wsJCmaY31OoSQhg0bGpqzanWLRkx6hJCatm7K69ev2Zhj9yiWnZ2dPt3GxMSEhIRkZWXpmYZMJtOnmaOjY1BQEHebPXv2EEJMTU2NuEtU3SOVSmUymVAoZPcjgzqPmXQmpihK53Z1UGfI5XKJRIJJr1cUCoVYLGYfWlhYcG+tCHVJQUEBqT2TrhCW6G5ECEUoWtPzfD7PuPlUO0FtmDUAAKgIzdehjH4WLde7KtKPsfoE/TEXMxkY/3qFmfrKmHQ+n2/Q9VL2M4VRkkGhDAAAAACAbhRFffTRR6tWrWIenjhxomyhTHFxMRtLpVIjnp17xZcKYitmagjVChV9ctNZEkQI2blz5+nTpyuUlhYikWjQoEHcbQ4ePEgI4fP5JiYmlZFD3cDMO4/HwyjVH6orVFEUhamvhzDp9YfainRCobBS/7aBGkggEAiFwurOQjeFQmMBjDqtl+Xr3jdGde4NAQBAtTD69+sURaFQo4qpVskQFMrUM5VXKEMMvDLAfrREoQwAAAAAQNVp3bo1G9+4caPsAjD4yscoVD8dKZVKnTcfq22fVNalS5fYKhkejzd27Ni+ffs2bdrUwsJCIBCoXltJT0/39fWtQO4AAAAAAAAAAFApfvvtt99++626swCAOgKX8gEAAAAA9KK2DVBxcbHaMw4ODmx86NAhCwuLKsqsJlG7v6QsdrcpbVSHUSKRWFtbc7fPzc3lPl1ISAgTW1lZbdmyhWMfK525AQAAAAAAAAAAAEBtV7NWWQcAAAAAqC3UNhEghDg5ObFxdnZ21aZTnVQXfdFZa5KTk8PdoFmzZmyclZWl8+zJyckcr6anp4vFYiZetGgRR5UMISQzM1Pn6QAAAAAAAAAAAACgVkOhDAAAAACAXiQSiepDU1NTtQaqezPdvn27ClKqIaysrNi4sLCQu/GDBw+4G6gO4507d3Se/eLFixyvvnz5ko07dOjA3VW9mjUAAAAAAAAAAACA+gmFMgAAAAAAennx4gUbW1hYmJmZqTWwtrbu2LEjEx89elQul1dZbtXLzs6OjZ8/f87RUiaTXbp0SWdv7LovYWFh3EvUJCUlvX37lqNBSUkJG6uufKOxZWRkJHduAAAAAAAAAAAAAFDboVAGAAAAAEA3mqYPHjzIPnz//fc1Nps5cyYTFBcX//rrr1WRWQ1gb29PURQTnzx5kqPlkSNHlEqlzg6nTJnCBBKJJCIiQlszmqa3b9/O3ZVqEU9qaipHy927d9ef2iYAAAAAAAAAAACAeguFMgAAAAAAuoWFhT18+JB9OH78eI3NOnfu3L9/fyYODw/fvXs394IohJCcnJx9+/aJxWJjpVr1+Hw++64fP35869Ytjc0uXLgQGhqqT4eenp4ikYiJQ0JC7t69W7YNUyWTlJTE3VWrVq3YeOvWrRpLYWiaPnLkSHh4uD65AQAAAAAAAAAAAECthkIZAAAAAADNaJqWSCTx8fHLli37448/2OenT5/u4OCg7ajFixc3adKEiU+cODFjxoy///47IyNDJpMxTyqVSrFYnJKSEhER8fnnn8+dOzc0NFSfdVZqshkzZrDx+vXrDx06lJ+fT9M0IaSkpOTp06eBgYG//PILn8//4IMPdPYmEAhWrFjBPvz666+Dg4MzMjKYUZLJZAkJCf7+/sxOSdqKlhiWlpbvvfceE6elpS1cuDAuLk4qlTLPSCSSuLg4f3//AwcOEEK8vb0NfeMAAAAAAFBz2Fg2mzl+r71t++pOBAAAAABqNEF1JwAAAAAAUP0mTZrEbh7EoGlaY/GKp6cnd6mHqanppk2b1q1bFx8fTwgpKioKCQkxbrY1kKOjo4+Pz6FDh5iHhw4dYmNV33//vUwm02ddGXd39/nz5wcHBzMPw8PDNa744ufn17p167/++oujKz8/v7i4uKKiIkLI69evv/rqK43NFi5c6O7u/ueff+rMDQAAAAAAAAAAAABqL6woAwAAAABAlEql4n+VrZJp0qTJN99889lnn6mV1JRlZmb2zTfffPnll9bW1twtKYry9PTcsmWLpaVlhd5ADTB16lRfX19tr9rZ2W3btq19ewPu7Bw1atR3331nYWGh8VWBQLBq1arhw4fr7EckEgUHB7dr105bAzMzs8DAwBEjRuifGwAAAAAAAAAAAADUUlhRBgAAAABAM4FA4ODg0Lp16w4dOnh4eDRr1kxniQyLoqhevXrt3bs3NTU1Jibm6dOniYmJ+fn5hBB7e/sWLVq0bdvWzc2tXbt2QqGwMt9E1aEoavTo0QMGDLhy5UpMTMyTJ08kEomdnV3nzp0HDx7s7u7O5/MN7bNz58779++PiYm5efPm3bt38/PzbWxsXFxc+vfv36dPHzMzMz37sba23rhx49OnTy9duvTgwYO0tDRCiL29fadOnfr27dutW7c6MwsAAAAAAAAAAAAAwI2iabq6cwAAAAAAAKizPv3009u3by9YsGDu3LnVnUvNVVRUJJVKTU1N68DqSqAnsVhcXFzMxDwer1GjRtWbD1QZmUxWUFBAUZStrW115wJVpLS09O3bt+xDGxsbgQA379UXOTk5hBBra+vaUZdM05LXb3S2Ego1188reZTCWt9K7lpBriBSmcFr0rdyaFQskTDxUv/lq1auNnZeUEMVFhaWlpaamZmJRKLqzqVWMjUTmJpV9P+PFPXuFxSdfYJIkoyQVrWiGg0nlu6EEJquji8z9b1VqnajCNF6U5j2QacJoZU0RRH97iijtJ8Dag36f38OeTzsWlOPMCuv14RJF4vFgwYNIoQcPXq0TZs2FewNH0oBAAAAAAAAAAAAoN6jKFFT1PCp4BNLE4MPUv0u1MxcYNPI3HgJQY3GE5TKZDxzczMLC0w6GBlbAARVimPQaZpQhCaEoqr/i3MAgPJBoQwAAAAAAAAAAAAAAABAHUFZdCImTao7iwozrf1vAQAAaioUygAAAAAAQDn5+PhIpVImPnbsWE1YgRMAAAAAoM4rjIoW34k3Slc3OvR8xjPm+h9y5X/3ZUgoyDyafNugwy2FgqYiuRHzKTcHc75IICGE8AjfokhMlBRJz6jupGo0U5lMoFAIBAK6mrZao4mJPCmTEPKmyDLlbkG15FARjgPcmg7zqGAnfHMTnlBACCGidkbIqcZQFMuUpTXiNwOhiNASm4sBANQFKJQBAAAAAIByUigUCoWiurMAAAAAAKhfJPEJb/48ZZSurk9ve+GN0ihdMVQLZVKK3px/9cSgw1s2sBZb5xsxn3KzFDakSRohhE9ZWBRmEIUJ/exedSdVowkJYQpkaB0NK42FY+mlaEJIiZnbo01x1ZVFudFKunHfThXshBLy3xXK1C2KEpm8uKS6syCEEIrHQ6EMAEDdUAf/fwkAAAAAAAAAAAAAAABQvyiVCllpdSdRCehqq78CAIC6CoUyAAAAAAAAAAAAAAAAALUcj8c3qZ6tryqVQlIjlpMBAIC6hFfdCQAAAAAAAAAAAAAAAAAAAAAAVAWsKAMAAAAAAAAAAAAAALXby6RXS8esDDywskOP9tWdC0A1o5+dJfkp1Z1FhbV8j2rcsbqTAACAugmFMgAAAAAAAAAAAAAAULvRNK2QK2i6uvMAqAmyH9Ov71Z3EhVFNXImKJQBAIDKgUIZAAAAAACoagqFIj4+Pioq6tGjR1lZWXK5vFOnTuvXr1drRtN0amrq/fv3Hz169OzZszdv3ggEgubNm7u4uHh4eLi5uZmYmBh00tu3b9+8eTMuLi4vL8/GxqZ9+/b9+vXr3bu3Qf0AAAAAAAAAAAAAQO2FQhkAAAAAAKhEmZmZvr6+TLx27VpXV9fExMS1a9cWFBSoNistLVV9KBaLz549++eff6o1k8lkiYmJiYmJf//9N0VRCxYs8PT0pChKZxpPnjxZu3ZtYWEh+0xOTk5OTk5UVJSpqemKFSu6d+/+9OnTZcuWMa9u3769SZMm5XvLAAAAAAAAAAAAAFBj8ao7AQAAAAAAqMtomlb8ixASGxu7dOlStfKXspYtW7Z7927uZjRNb9u2bc2aNUqlkru3c+fOBQQEqFbJqCopKQkMDLx8+TIhhE2VxortAAAAAAAAAAAAAHURVpQBAAAAAIAqcvv27bCwMEKIs7Pz7Nk650n/AAAgAElEQVSznZ2dzc3NaZrOysqKiooq275Vq1ZeXl4dO3a0tbU1NzcnhCgUiry8vOjo6D179kilUkLInTt3Dhw4MGPGDG0nffDgwebNm9mHQ4cO9fb2dnR05PF4Uqk0KSlp586dKSkpQUFBkydPNv57BgAAAAAAAAAAAICaBIUyAAAAAABQRY4fP04ImTBhwpw5c9j9kiiKcnR0VCtS8fDwWLFiRfPmzdV6EAgEjRs3HjNmzLBhw1avXp2QkEAICQ0NHTt2bMOGDcueUaFQrF+/nn345Zdf9urVi31obm7u6uq6adOmzZs3X7hw4dixY0Z6owAAAAAAAAAAAABQQ2HrJQAAAAAAqDru7u6qVTLazJ07t2yVjCpTU9Ovv/7a1NSUeRgREaGx2blz58RiMdunapUMi8fjLV68uE2bNrqzBwAAAAAAAAAAAIBaDivKAAAAAABA1fH19dVZJaMnkUg0adKkQ4cOEUIiIiJ8fHzKtjl8+DATmJube3l5aeuKoqiFCxf6+/sbmkN6evqXX37J3YbZIkoqlb59+9bQ/usPhUJBCCktLcUo1R/MpDNomsbU1x80TTMBJr3+YCedUVRUZKw/BqC2EIvFmHTjKikpMVZXcrm8Rt1Pq1AqqzuFdxQKOfP9iVJJM//FP+IaTqF4949HLpdXbyZQt6n9YVM/sYOA0ag/1OZaqVTir7v6pjJ+3pVKZVFRkf7tJRIJe2DFz45CGQAAAAAAqCL29vbNmjUzYofdunVjCmXy8vKkUqmZmZnqq7m5ubm5uUw8YcIEPp/P0ZWzs7OVlVVBQYFBCUil0vv373O3adu2LSFEqVSWlpYa1Hk9pFQqjfJBF2odmqbxA1LfYNLrM3x/WQ9h0o3OiH8y1bTvOGtOPkx9DCGE1JiUgBtN3s3Uf+cOoBLUnF9TNQFGoz7D7Nc3lTHjhl4ZMO5lhBpUKg4AAAAAAHXbgAEDjNuhtbU1G5ddmeDFixds3KNHD+6uKIoaPHiw0TIDAAAAAAAAAAAAgBoJK8oAAAAAAEAVadGihUHtaZpOS0t78ODBw4cPX716lZGRobbIvOqttAUFBQ4ODqqvpqens7G9vb3O0zFLvwAAAAAAAAAAAABAHYZCGQAAAAAAqCINGzbUv3FMTExISEhWVpae7WUymdozr1+/ZmORSKSzBzs7O/3TY1hYWAwZMoS7DVOvw+fzTUxMDO2//pDL5UqlksfjCQT4lFpfKBQKhULBxBRFCYXC6s0HqoxSqWQ2YcFvxfpDbT1toVBIUVQ15gNVifkLTSAQ8HhY2tyYuDcVNUhNm5qa8/uBx3uXCZNSzUkMtGHniJ07gMqA3wZEZQcWjEb9obbtDqa+XmFmvzImnaIog64MGHdHV1yCBAAAAACAKqJ/DcTOnTtPnz5dwdOpls7o8wWAqampoadwcHD44YcfuNt8+umnTOdWVlaG9l9/FBUVSaVSoVBoaWlZ3blAFRGLxcXFxUxMURR+QOoPmUxWUFCASa9XSktLVXdItLCwQFlk/ZGTk0MIsbCwQEGkcRUbr9aQz+cTotTdrqrwa0zhDp//7jcVxWMKZQjN2R6qHfuPB/+XgUqF+gBG5X1xDjWWaq0Mpr5eqbyfdz6fb9CVAbZY3Cil3vhzAQAAAAAAapZLly6xVTI8Hm/s2LF9+/Zt2rQp870aRVHsB7P09HRfX19t/ajekaBUKnXed6u2rxMAAAAAAAAAAAAA1D0olAEAAAAAgBpEoVCEhIQwsZWV1ZYtWzg2bGL3bdHIwcGBjSUSibW1Nfepc3NzDckUAAAAAAAAAAAAAGqfmrKMIQAAAAAAACEkPT1dLBYz8aJFiziqZAghmZmZHK82a9aMjbOysnSeOjk5Wb8cAQAAAAAAAAAAAKC2QqEMAAAAAADUIC9fvmTjDh06cDe+ffs2x6utW7dm4zt37ug89cWLF3W2AQAAAAAAAAAAAIBaDYUyAAAAAABQg5SUlLAxn8/nbhkZGcnRwM7Ojl2QJiwsjHufpqSkpLdv3xqSKQAAAAAAAAAAAADUPiiUAQAAAACAGsTOzo6NU1NTOVru3r1bLpdz9zZlyhQmkEgkERER2prRNL19+3ZD0gQAAAAAAACA+u6nn34yMTExMTHZsGFDdecCAAAGQKEMAAAAAADUIK1atWLjrVu3aiyFoWn6yJEj4eHhOnvz9PQUiURMHBIScvfuXY29bd++PSkpqbwpAwAAAAAAAEBtVSKTXb0etWbDtxOmTXHp7tq4bQvH9k6Dx45YsWb1mbORYomE41ilUllaWlpaWqpUKqssYSiHwMBApqRpy5Yt1Z0LANQIKJQBAAAAAIAaxNLS8r333mPitLS0hQsXxsXFSaVS5hmJRBIXF+fv73/gwAFCiLe3N3dvAoFgxYoV7MOvv/46ODg4IyODuYAlk8kSEhL8/f2ZLZzGjx9fGe8IAAAAAACqQAuX5qHP9nfs2b66EwGAWqOoqOir9Wvt2jQf6T3+h00/nb14Pj3jtaS4uLCwMObO7c0h2z+YNc3eueXywK+KxOLqThYqRKFQoKQJAFQJqjsBAAAAAACA/+Hn5xcXF1dUVEQIef369VdffaWx2cKFC93d3f/880/u3tzd3efPnx8cHMw8DA8P17gUjZ+fX+vWrf/666+K5Q4AAAAAAAAAtcCVqGuTZ/pIiot1ttyyM/jXPbt/3bx98viJVZAYAABUAawoAwAAAAAANYtIJAoODm7Xrp22BmZmZoGBgSNGjNCzw1GjRn333XcWFhYaXxUIBKtWrRo+fHh5cgUAAAAAAACA2mbPof2jPpjAVsk4tWq17cef46/HZj9LK3qVXfQqOysp9db5y8sWLzEzNSWESEtKZnz6n7z8vGrNGgAAjAYrygAAAAAAQI1jbW29cePGp0+fXrp06cGDB2lpaYQQe3v7Tp069e3bt1u3bkKh0KAOO3fuvH///piYmJs3b969ezc/P9/GxsbFxaV///59+vQxMzOrnPcBAAAAAAAAADXL1etRC/w/Z2KhULhz07YPxk+kKEq1jYVI1KVj5y4dOy9bvCTwu2+2/rqjOjIFAIDKgkIZAAAAAAAop6NHj+ps4+joePLkyXJ0TlFUu3btONaVMbRzPp/fp0+fPn36lCMZAAAAAICao0Hv7nzLBkbpyrO1Y2e+uVG6YnzKo2T/xu2s7Ce27mrQ4SIB395cbsR8ys3ShGfOb0oI4REeZeNCaEI6O1d3UjVaSUmJXC4XCoUmJibVkgBNC0y83Agh5oXmHt/2rJYcKsLOo53QUlTBTnjCuvmtH9/MhBLwjdWbWCKePPMjJjYxMYmLud22TVuO9kJL0U8//TRshOfkKR8ILIz5CxMAAKpR3fxfJgAAAAAAAAAAAABAnWTRzdWim6tRujL6/qMLVQpl2jSwHdmik7HPUB2sCSGEsqnuNGo2WUGBTCajzM1NtWx6W9koQnjtCSHEnhD7askAKg3fzMRoZTKEbAr6QSwRM3FoaGgHty76HDV+8sS4uDiTBuUvlMnLyzt27NiFCxeioqKysrKsrKz69OkzfPjwKVOmNG7cWJ8eEhMTT506dfHixZiYmIKCAgcHh969e48YMWLSpEk2Nly/oebNm/fHH38QQvbt2zdlyhRCSFFR0d69ew8cOBAXF2diYtK7d29vb28fHx+RqJzVWnfv3u3duzchxN3dPSYmpmyDx48fu7m5MfG0adN+//33sm0uXbrk6elJCBk5cqS226IMHQSapk1NTQkhpaWlzDOff/55QECAWrPnz583a9ZM4xnLN3Flxzw/P3///v2hoaH3798Xi8UTJkzQ5/YzAKg8KJQBAAAAAAAAAAAAAAAAgDpOLpevX7+eibt16+bl5aX/sZ07dy7fSUtKSgICArZs2aL6pFQqPXny5MmTJ/38/FatWhUYGCgQaP7Slqbpf/75JyAgID4+XvX5lJSUlJSUo0eP/uc//9m4ceOSJUt4PJ7GHhQKBVMmolQqCSGXL18eOXKkVCplXhWLxREREREREUuXLr18+TJbzmKQTp06MaeIjY2VSCRlC24uXbrElqocPXp09+7dantdEUJOnz7NtBk/frzaSxUZBPa8HM/QNF32TVVk4tTG/OjRoz4+PkzMkMlkZY8CgKqEQhkAAAAAAOPLzMz09fVl4rVr17q6Gud2TwAAAAAAAOOSJj4zVldya3PVrxoLSqWpRW+M1TlUC3M+sTFV6m5HiJIS07xSBSkuVRZXdla1mlCu0PwCX0R4FViMh/nZo3ikTPFBHUArFLRSQx2DGorPp3g63n5sbCxbJLF69eqytRpGl5ub271799TUVI4269evv3Tp0sWLF4VCYdlXb968OXLkSO6zBAQE3Llz58CBAzrf0fXr1wcPHqzxpfz8/O7du6ekpGhbW4WDqalpv379rl+/Tgi5d+9ev3791Bqorp4ikUhSU1NbtWql1ubgwYNMMGjQILWXjDsI+qj4xLFCQ0OZRWVUaSzNAYCqhEIZAAAAADAaHx8f9n4UQoinp+f8+fN1HqVaU+Lj4/Phhx9WVn5ViKZphULLxa9KpjoLx44d03Y7EUsqlS5fvjwlJYV52LBhw59++ol7zV4AAAAAAKgznvsuo4304UW6ZFypyu3y17OfS+9GGKVnqC69GtuObvlCr6Z8QvhETohYqrttvUVRQocsLdVjlt0p697l77pUTgghQhHhc31hX0uVFhbLi0t0NjNtaMk3M+Fuc+3aNTbWVi9iRDKZrFevXkyxBY/H++qrr6ZPn96iRQsTExOFQpGWlrZt27agoCBCSFRU1NKlSzdt2qStK0dHx5UrVw4fPrx58+YWFhaEkKKiori4uJUrV169epUQcujQoenTp48ePZojn+jo6NmzZxNCvvvuuxkzZjg6OvJ4vNzc3ODg4NWrVxNCFAqFn5/f8ePHy/Fmp0yZwhTKREREqBXKlJaWXrx4kRBiaWlZWFhICLl69apaoUxubu7r168JIUKhsE2bNsYaBIqimJKUVatWffvtt4SQoKCgJUuWcL8XI07clStXfv31V0LIN998M2vWrCZNmvD5RtxJDADKT8dFcwAAAAAA/Sn+V3h4eE5Ojs6jmJoShuoapFA+qlOgs3FRUdGiRYuSk5OZ9ra2tps2bUKVDAAAAAAAAADUPbdv32YCMzOzKrj6sWHDhuTkZEKInZ1dampqYGCgs7OzqakpRVECgcDJyenHH3+MiopiGm/evPnFixdlOzE3Nz9+/PjLly/9/Pw6dOjQoEEDiqIoirK0tOzfv//ly5dXrVrFtPz444+51yn55ZdfBALB06dPly9f3qxZMz6fT1GUnZ3dV1999dtvvzFtwsLC3rwpz2JgQ4YMYYIDBw6ovZSQkMAEP/74I1MmUrYWJzo6mgnGjx9f9qavig8C26c+dSpGmTjGjh07CCHx8fGrVq1q3rw5qmQAag4UygAAAABAJWLumagDCgoKJv6LuT+mDsjPz1+4cGFGRgbzsHnz5ps3b7a0tKzerAAAAAAAAAAAKgNbjeHu7l7Z5yoqKmKWaSGEXLhwQdt+Rv369QsMDGRitlpFVdeuXSdOnKitwIKiqLVr1zo5ORFCXr9+/fz5c+6sDh065OzsXPb52bNn29nZMfGtW7e4O9Goffv2TJCcnPz27VvVl86dO8cEY8aMGT9+PCHk5MmTavd3nTp1igkmTpxYtnPjDgI3Y00ca8eOHV26dKlISgBQGVAoAwAAAACV6MaNG69evaruLIyDXaalbuwinJ2dvWDBgry8POahs7Pzzz//LBKJqjcrAAAAAAAAAIBKkpmZyQTaqh+MKDIykgkGDhzo6urK0XLevHlMwKw+Yigej7d48WImZpc50cjGxsbLy0tbJ9OnT2fiBw8elCMNoVA4bNgwJmZX7mEcOXKEEGJlZdW0adNJkyYRQhQKxbNnz9gGNE0fPnyYifv371+Os+s/CDoZd+J4PN7MmTMrkg8AVBIUygAAAABA5dq+fXt1pwDqXr16tXDhwqKiIuahq6vrhg0bTE1NqzcrAAAAAACA8sl78WrXkJkZ959UdyIAAO+cOXOGCaZNm8bd0sHBgQlycnJKSkrKcS52NZfHjx9zNJs+fTpFUdpedXNzY4KkpKRy5EAI+eCDD5jg77//Zp+USqXMQj5TpkyhKIqtg7l06RLbJiMjg7mVSyQStWjRonxn13MQdDLuxHl5eZmYmFQkHwCoJILqTgAAAAAA6iALC4vevXtfuHCBEBIfH5+UlKRxWVeoFs+fP1+yZAm7wm2vXr1WrFiBPZIJIS4uLidPnqzuLAAAAAAAwHA0rZQrdDcDgPrNzs5OLBYTQth9qCvPzZs3mWDx4sUBAQGEEJqmlUqlaqBUKtmYUVBQ0Lhx47K9KRSKmzdvnj179saNG0+ePMnMzFTduoiNk5OTOVLiXh/F1taWCQoLC/V4fxoMHjyYCQ4ePBgUFMTE8fHxTDBu3DhCSMuWLUUikUQiOXr0KLsiCztW3t7eHKU8RhkEnYw7cb17965IMgBQeVAoAwAAAADGR1HU7NmzmUIZQsjWrVt//vlnjg+6UGUSEhKWL1/O7h41aNCgJUuWYGoAAAAAAAAAoM7r1atXSkoKIeTOnTuVfS52XROpVCqVSvU8Si6Xl30yLCxs7ty5+fn5Og9nyoC0adCgAcerPN67fUjKved427Zt+Xy+QqHIyMjIzs5mCkfOnj3LvMqUjFAUNXny5H379p0/f760tFQoFBJCwsLCmDYTJkzQ1rmxBkEnI04cqZJNvgCgfFAoAwAAAACVwsbGZsKECSdOnCCEJCcnP3jwgPu2FYNkZ2dHRUUlJCQ8fvxYLBabmZm1a9euU6dO/fr1a9q0afn6VCgU8fHxUVFRjx49ysrKksvlnTp1Wr9+vbFyJoTQNP3gwYMrV67cv38/NzfX3Ny8ffv2PXv2HDBggEgkMuKJtLlz505gYCD7cNSoUb6+vnpWyRh9zA0acIVC8fDhw7t37z569Cg1NVUul9va2rq6unbt2rVnz556rmFL03Rqaur9+/cfPXr07NmzN2/eCASC5s2bu7i4eHh4uLm5YS1cAAAAAAAAgDrMw8MjNDSUECKVSgsKCqysrCrvXKrLjVTE1q1b/fz8jNJVZd8oxefzx44d+9dffxFCbt26NXbsWELIwYMHCSGOjo7sgisTJ07ct28fISQhIcHNzY2m6WPHjjEv9enTR2PPRhwEnYw1cQymEggAaiAUygAAAABAZZk6depff/3F3IaydevWHTt2VPwD+du3b3/44Qd21VaGTCaLjY2NjY3du3dvmzZtVq5caW9vz9FJZmamr68vE69du9bV1TUxMXHt2rUFBQWqzUpLSwkhCxYseP36terNND/88AN7k42q0NBQgUDrH9gZGRmrV69WXdpXJpNFR0dHR0dv377d399/4MCBXO+8wq5evbpx40b2obe394wZM/SZkYqPuUEDroam6YiIiN27d6tt9pyenp6enh4ZGcnn8+fNmzdy5EiO9yIWi8+ePfvnn3+qnVEmkyUmJiYmJv79998URS1YsMDT0xPr6wAAAAAAAADUSf3792fjy5cve3l5Vd65mjRp8vr1a0LI+fPnhwwZUr5O0tPT2QIRFxeXwMDA3r1729nZWVhY8Pl89gpGRETEqFGjjJJ2BU2ePJkplDl58uTYsWOLiooePnxICPnoo4/YNmw1zLlz59zc3FJTUyUSCSGkYcOGjo6OZfus4kEwysQBQM2n4fo+AAAAAIBRiESiadOmMfHr169jYmIq2GF8fPzs2bPVKjbUJCcnf/zxx1FRURxtaJpW/IsQEhsbu3TpUrUSChbTTPVuEtXDVXGcMSkp6dNPP9W2ATZN0z/++GN4eDhHDxUUGRmpWiUza9asmTNn6lMRYpQxN2jAVUkkkoCAgODgYLUqGVUKhSI4OHjdunUcU7Bs2bLdu3dzn5Gm6W3btq1Zs8a4dw4BAAAAAAAAQA3Rq1cvPp/PxOvXry/3HkP6GDBgABNER0eXuxNmORZCiIeHx8OHDz/66KO2bdtaW1sLBALVqzrZ2dkVSdWI2Hd95MgRmqbv3bvHPBwzZgzbxtHRsWHDhkwbQsi1a9eY56dOnarxUlUVD4JRJg4Aaj6sKAMAAAAAlWj8+PFHjx6VyWSEkG3btnl4eLDXIwz14sWLVatWsQ/d3d1nzpzZqlUroVAol8tfvXp14MCBW7duMa9u2LBh3bp17u7uOru9ffs2sxGys7Pz7NmznZ2dzc3NaZrOysrirrbR34MHD0JDQ2ma7tChw8yZM9u0acOcIicnJzQ0NDIykmkWHBzct29fGxsbo5xU1fHjx//44w/24YIFC0aOHKnPgZUx5voPeElJyeLFizMzM5mHjRs3njVrlpubm5WVFUVRJSUliYmJv/76K7O5eGxsbFBQ0LJlyzhO3apVKy8vr44dO9ra2pqbmxNCFApFXl5edHT0nj17mG2n79y5c+DAgRkzZugzPgAAAAAAAABQiwiFwi+++OLbb78lhNy6deuff/4ZMWKEnscmJiY6ODhYW1vr2d7T0/Po0aOEkG3bti1btkzj4sQ6Xb16lQlWr17NsYnPqVOnytF5ZWjZsqWZmRmzs1V6enpERATzvIeHB9uGoqipU6cGBwdHR0cXFxcfP36ceV7bAj9GGQS2pIb7VjdipIkDgJoPP9sAAAAAUIlMTU3nzp3LxHl5eVeuXClfPwqFYs2aNezDOXPmrFu3zsXFxcTEhKIooVDYunXrVatWffbZZ2yb9evXMwU63I4fP07T9IQJE4KCgtzc3EQiEUVRPB7P0dFx8uTJhJCQkJCTJ0/u3buXPSQgIOCkJtr2XTp06JBcLp85c+aGDRu6dOnCnsLe3n7hwoWffPIJ25LdktlYaJret2+fapVMQECAnlUylTTmOgectXnzZrZKZvTo0Tt37hw4cKCNjQ2Px6MoyszMzM3NbdOmTZ6enkyba9euaVv5xsPDY/v27Vu2bPH09GzRogVzUoqiBAJB48aNx4wZs2/fvo4dOzKNQ0ND8/Ly9BkiAAAAAAAAAKhdli9fLhKJmHjSpElpaWn6HHX+/PkuXbrorLFQxV7lePny5aFDhwzNk8EujmtmZqatTVpaWmhoaPn6Nzoejzdx4kQmvnbtGrMYTJs2bdQKjNiamKioKGarJkJIr169NPZplEFgE8jNzeV+C0aZOACo+bCiDAAAAABUrhEjRuzbt08sFhNCQkJC+vfvz3HzhzYXLlxgP8eOGDGC/citxtPTMzMzk/lgLJVKjx075uPjo7Nzd3f3OXPmcO9DpHr7SDluJRkyZIi3t7fGl8aOHXvixAlmedjIyMi5c+fqsyOSnjZt2nTp0iX2YWBgYPfu3fU8tvLGXJ8BT0pKYm8Y6tWr16effqqxPY/HW7hwYWJi4osXLwghv/zyy65du8q2ZKu1tDE1Nf36669nzZrF7PEUERGhz78cQkhBQcG5c+e42zBr1cjlciYAjZirjQqFAqNUf8jlcjamaRpTX3+wU49Jrz/UvlKSyWSqvwGgPpDJZAZ9swi1l5LGNqZ1DebUyCpzox8ghOizlVKDBg3CwsKYhWQkEkmHDh0OHjw4btw4be1lMtm6devWr1/P9K92CvZh2Zesra39/f2DgoIIIdOnT7e3tx82bJi2s8jl8vDwcCsrq0GDBqk+7+rqylzY+fnnn4cNG1b2ikd+fv6QIUM0plRW2SS1HajnplQam40fP56pL/nqq6+eP39OCJk2bZpay549ezLBggULmD8SmjRp0qhRI40dGmUQWrRowQQXL17kfndGmTjVTCp1h6/qUiffFHCrjEmnaVqfO11Z7GUEoySDQhkAAAAAqFx8Pt/X15f5eCmRSCIiIrStpMrh8OHDbDxnzhyOllOmTAkLC2O+fTl27NiUKVN01rX4+voasTZFo//85z/aXqIoatKkSSEhIYQQqVT65s0bW1tbY52XrZKhKOr7779nF03RR+WNuT4Dzu4/TQhZvHgxR3uKovz8/Pz9/Qkh2dnZL1++ZK99GEQkEk2aNIm5lKN/oUxOTg6zYjOHtm3bEkJkMllRUVE5EqtX5HI5Rql+omkaU1/fYNLrM4lEUt0pQFUrLi6u7hSgiigVKKqoazCnxlVZXyzjC2tCiCEVCcOGDduyZYufnx8hRCKRTJgwoXPnzsuXL+/fv7+Dg4OpqSkhpKSkJCUlJSws7Pvvv2dXNNG/0ITxzTffHD9+nCkW8fT0HDVq1BdffOHu7m5paUlRlFKpLCgoePbs2d9///3zzz8XFBQwq/Cq9jBx4sQtW7YQQiIiIiZPnvzNN984OzsLhUKlUpmVlRUWFrZ06VKpVDp//vzg4GBtGRpaAaP/SGps1q9fPyZ4+vQpE4wYMUKtZaNGjZo1a/bq1Su2jY+Pj7aTGmUQ2DvHbty4ceTIkbFjx7ILC5VV8YkrR9VR7VIn3xRwq4xJVyqVBl0ZYD9LGiUZbL0EAAAAAJVuwIABbPHH77//bugd5Dk5OcyCK4SQIUOGcHyOJYSYmJiwtwHJZDJmoREO9vb2zZo1MygfQ3Xr1s3S0pKjgWr9yps3byopDYMW8qm8MddnwIuLi2NjY5l40KBB3KNHCHF2djY3N2fiGzducDfm0K1bNybIy8vDOgcAAAAAAAAAddWCBQvOnDljYmLCPHz48OGMGTOcnJxEIhGfz+fz+SKRqGPHjitXrmSqZIRC4b59+xo1amTQWUxMTKKjo11cXJiH4eHhgwcPbtiwoUAg4PP5QqHQ1ta2V69ea9asYWtx1AwcOHDgwIFMfOLEiS5dupiZmTHHNmvW7LPPPpNKpbt27dK2DHC1aNq0qdqVHHd397LN1O5QGjNmjLYOjTIITk5OHTp0YE9taWnJ5/PN/vXq1SvVxhWfOACo+VAoAwAAAACVjtkfh4nlcnlYWFyXPsgAACAASURBVJhBh6emprJx//79dbbv06cPGyclJXE3HjBggEHJlAO7nKw2qvs05+fnG/HUTZo0YQKapv39/Z89e6bngZU35voMuGqpjT7tKYpydXVl4sePH+tsr43qRLx9+7bc/QAAAAAAAABADTdixIiMjIzPP/9c51LEn332WVZW1kcffVSOszRq1Cg+Pv67777jbubk5HTgwIGyxSIURZ0+fVrbtj6EkN9//517GeCqR1HUhx9+yD7s1q2bxvuvRo8erfqQvXlJY4cVHwSKok6cOGFhYaH6ZOm/yq5OUcGJA4CaD1svAQAAAEBV8PDwYJZUJYQcPnx43Lhxah9NOaje1dG0aVOd7R0dHdk4JSWFu3H5tukxiGo+GrE3MBFCDNqWVacff/xx1apVTN0JUyvz008/tWnTRueBlTfm+gz4y5cv2bhly5Y62zPdRkdHE0KePHmirQ1N02lpaQ8ePHj48OGrV68yMjJKSkpUGyiV/11UvKCgwMHBQZ9TAwAAAAAAAEBtZG1tHRQU9O23316/fj0qKurWrVuxsbG5ubmmpqYdO3bs16/f4MGDhwwZYmVlVZGzCIXCZcuW+fn5nT9/Pjw8/NatWwkJCTKZrHnz5u7u7gMGDBg5cmSnTp207TptYWFx4cKFmzdv7t2798KFC8+ePbOwsOjateuECRNmzJhhxP27jWjcuHG//fYbE0+dOlVjG9XKmDZt2qjevFSWUQbBxcUlMzMzNDQ0LCwsLi4uLS1N9UJQWRWcOACo4VAoAwAAAABVgaKozz77bMWKFYQQmqYPHjz4ySef6Hns69ev2VifaxOqJThqS6eW1bBhQz3TKDdmc+tqYWFhsXHjxqVLlzLFK0qlcsmSJfrUylTemOsz4GlpaWy8aNEi5tYu5uYedp9p5r9KpZIJFAoF076wsJCm6bIXKWJiYkJCQrKysnSenaFnxVLr1q2vXr3K3ebzzz8nhJibm9fMq1c1hFgslkqlpqamDRo0qO5coIpIJJLi4mIm5vF4VfDbGGoImUxWWFhIUZShC9dD7VVaWqq6KL21tbVAgGuS9UVubi4hxMrKyqBtQKGKZRuvK/x01z2YU+OqrC/U8TU9IYQQiqJ0rg2jkbm5+dChQ4cOHVqOYwMCAgICAvRpaWFhMW7cOHbrakP169evX79+2l4dPnx42TVRWLt37969e7fOU3h5eXF0ooq9OKNtwMeNG6ezKxsbGz1Px6rIIDAsLCxmz549e/Zs/U9avonTc8xrEXbSGeX7WYNaiikpq4xJ5/F4Bl0vNTMzYw+s+NnxJw4AAAAAVJHOnTu3a9cuMTGREHLq1Clvb289vxYtLS1lY30u0qn+oay2ZEhZdf6qn6mpKVMrw+ymxNTK/PLLL61bt+Y4qvLGXJ/e2O/OCSFSqVRne5127tx5+vTpivdTFo/HMzc316clRVG4x0gfGKX/Z+/OA6Io/z+AP7O7LLuLXCKKR6KoCKgYkiZeKZEXGAmmUqlFlnxF0sIjrTww/dbXM6/yIq3QBBHDPPAoz1QUE0FR8ALkUO572WV3fn/Mt/nub2GHhV12Od6vf/rMzDPPfGZmNXf2M8/TZuHWtx3svcZNbzvU7jX+n9gG4aYDAAAAAEBtDfqaoN/vFK38VwEAAAAAaFaCg4Pnz5/PxOHh4aGhodrspfr6KTtwCAfVcVONOJpL8yESidavXx8aGsqM1KJUKhcsWMBdK2Pca67f6qXz58+zVTI8Hs/Hx8fDw6NLly5mZmYCgUD1Z5vs7OygoCA9HhoAAAAAAAAAAAAAmhsUygAAAACA4fTs2XPQoEG3bt0ihFy4cOHdd9+1s7Ord69OnTqxcVlZmeosP3WqqKhg4y5dujQ22VZFJBJt2LBBtVbm008/3bx5s729fZ3tjXvNVY9+8ODBeo/OQaFQ7Ny5k4ktLCy2bt3KMY6RNiVBAAAAAAAAAAAAANCiYf4wAAAAADCoOXPmsPEPP/ygzS7dunVj4+zs7HrbP3/+nI01FYK0QUytDHsxFQrFggULmPmYajPuNe/Zsycb5+Xl6dJVdnY2W8TzySefcM/2pXoWAAAAAAAAAAAAANAqoVAGAAAAAAyqc+fOo0aNYuJbt249ffq03l26d+/OxlevXq23fXx8PBv36tWrwSnWh6ZpvfdpGCKRaOPGjV27dmUWFQrF/PnzmTFm1Bj3mqvOCZWQkKBLV8+ePWNjJycn7sY6HgsAAAAAAAAAAAAAmj8UygAAAACAoX344YdsvGPHjnrnu7G1te3QoQMTnz59WiqVcjSWy+WxsbFMLBQKHRwcdEv2v3i8//3LuaamRi99GoVIJNq0aVO9tTLGveaWlpbOzs5MHBkZqcsFr66uZmM+n8/dMi4urtEHAgAAAAAAAAAAAIAWAYUyAAAAAGBo1tbW3t7eTHz//v0zZ87Uu8u0adOYgKbpAwcOcLSMiYlhayN8fX1VC1x0IRKJ2FjHyYCMjhlXpkuXLsxiTU3N/Pnzs7Ky1JoZ95rPnDmTCaqqqnbv3t3ofthyH0KIpnmmGOHh4S26BAoAAAAAAAAAAAAAtIFCGQAAAAAwgnfeeYeNjxw5Um97Ly8va2trJj569KimkT8uXrz4yy+/MLGpqenbb7+tc6b/JRAIzMzMmPjGjRv66tZYxGLxpk2buGtljHvN+/XrN2LECCY+efJkeHh4vSMP5efn//zzzxUVFaor7e3t2Xjbtm11lsLQNH3o0KGTJ0/qnDUAAAAAABiHdc9uH1+MsHPta+xEAAAAAKAFQKEMAAAAABiBubl5QECA9u35fP5XX33FLm7fvn3NmjXp6elM3YNCoXj27NmGDRvWr1/Ptvn8889Vh4HRnaenJxPcv3//2LFjZWVlNE3rsX8DY2plOnfuzCzKZDK1WhmjX/P58+ez6R09enTGjBnHjx/Pzc2VyWTMSqVSWVFRkZ6efurUqQULFgQGBkZFRSmVStVOzM3Nhw8fzsSZmZnBwcGJiYnsTFKVlZWJiYmhoaERERGEkClTpugreQAAAAAAAAAAAABongTGTgAAAAAA2qjJkydHRUVpP9lN7969V61atWrVKqYS4vr169evX9fU+LPPPnN3d9dPov946623jh07xsS7d+9m5gPi8XgURTEro6KiBIKW9A9splZmwYIFubm55J9amS1btrAjzRj3mpuamn733XerV69OSkoihJSXl+/cubMR/YSEhCQmJpaXlxNCcnJyVKt/VAUHBw8cOPDw4cO65AwAAAAAAAAAAAAAzRxGlAEAAAAA4xCJRB988EGDdnFzc/vxxx+dnJw42nTv3n3Xrl2jR4/WKbm62NraLlmyhC2LYSiVSsU/9H5EA5BIJJs3b7azs2MWmVoZpm6GYdxrLhKJvv766y+//NLS0pK7JUVRY8eO3bp1q7m5udomiUTy/fffOzo6chxl5cqV48aN00PGAAAAAAAAAAAAANC8taQXXgEAAACglRk/fvwvv/xSVVWl/S7W1tb/+c9/Xrx4cfny5Xv37qWkpJSXl0skkr59+7q4uAwbNqxbt25Nl/Dw4cN//fXXa9eu3bhx4+nTp7m5udqPiNNsMbUy8+fPf/78OSGkuro6JCRk69atbPWMca85RVFDhgz56aefMjIybty4kZaWlpqaWlxcTAjp2LHjSy+91KtXL1dXV0dHRxMTE02dWFparlu3Li0t7fz588nJyZmZmczuLi4uHh4ebm5uHPsCAAAAALRuQvtuRE91/7SpGUX+92qBmcC0s8RCLz2DsViaigQ8a21aKpVKmqYpiuLx8Ia2RhThExOq7m18CSEaNmnTMcVj/tsqUXweT8CvvxmvlZ4/AAA0AYqmaWPnAAAAAAAA0GrNmTMnISFh7ty5gYGBxs6l+SovL5dKpaamprXHBILWqqKigi2U5PF47du3N24+YDAymay0tJSiKBsbG2PnAgYil8tLSkrYRSsrq5Y1WyXoIj8/nxBiaWmJuuS2w8zMrLKykom//PLL1atXGzcfMJjS0lKZTCYWi83MzIydCxD62lY6529jZ6Er6uWZVM/Rxs4C6kDTNPP7Mgrj2g72pjNw69sUpVJJmsdNr6ioeO211wghkZGRDg4OOvZm/PMBAAAAAAAAAAAAAAAAAAAAADAAvL0BAAAAAABGIJVKAwICmDgkJMTT07Pp2gAAAAAAAAAAAAAAMFAoAwAAAACgT7du3VIdXXzRokXDhg0zYj7NmUKhYAJmAM8mbQMAAAAA0KROT/y8IjOPEOLk5SgsyqqzTf6X3iUiuQGSeVTW7kVlhd67zU/v9LxIwd1Gpvjfv8nPn360rOSY3tOA5kmpVNI0TVFUc5iaoSXyGNVz9NjeOnYiEpuYmPD1kk+zIq2Sy+X1/OXT1EQSis+nVddQCppS1Bgrn0bi8YgJJkcDACAEhTIAAAAAAPoVHR3N1m0QQiIjI1EoAwAAAADQ6pWmZZU9yiaEyN1t6ScZdbapUFaVyvRfv1JbYRUvu7JE790WlJo/ya/nV2Glyu/I5aXVWRnFek8DoFUqKapSKOj623Gide2gmVIqad0vjq5oQohSfRXd0l7XaWn5AgA0HRT2AgAAAADoTUlJSVJSkuqax48f5+fnGysfAAAAAAAAAAAAAABQhUIZAAAAAAC9uXjxYu2V586dM3wmAAAAAAAAAAAAAABQG6ZeAgAAAADQD5qmIyMjmdjZ2VkkEv3999+EkJiYmLfffhvTtKsRiUSxsbHGzgIAAAAAAACg1ek+jGrfy9hJ6IqydjB2CgAA0GqhUAYAAAAAQD+ePHlSUlLCxP7+/gKBgCmUqaysTE1NdXJyMmp2AAAAAAAArVZJWdax81+OHba0o42jsXMBMD6qi7uxUwAAAGjWUCgDAAAAAKAfv//+Oxu//PLLPB6Px+MplUpCyG+//YZCGQAAAAAAgCZCE6JUKgihjZ0IAAAAALQAKJQBAAAAANADmUx29uxZJvb09BQKhYSQcePGnTx5khBy5cqVyspKiUTSiJ5pmk5OTr548eKdO3cKCgrEYnHfvn0HDx48cuTIBnWoUChu3LgRHx9/+/bt4uJia2trR0fH4cOHDxkyhMm21aNpOiMj486dO/fu3Xv06FFhYaFAIOjWrVufPn3c3d1dXV3byHUAAAAAAACAVkmppGtqlMbOQv9QAQcAAHqHQhkAAAAAAD24ceMGG0+cOJEJxo8fzxTKEEKuXbvm6enJ3cnz58+DgoKYOCwsbMCAAbm5ucuXL8/NzWXbyGSy+Pj4+Pj4HTt2hIaGjho1Spv0kpKS1q5dW1FRwa7Jy8vLy8u7cuWKqanpsmXL3Nzc0tLSFi9ezGzdsWNH586d1Tq5dOnSxo0bmTgiIoK7TCcpKWn58uVMvGvXLltbW7UGUqk0ICCAiUNCQuq9OLqoqKg4c+bM4cOHS0tLVdfLZLLU1NTU1NTjx49TFDV37tyxY8dSFNV0mQAAAAAAAAA0ER6PEgh4xs5C/2TVxs4AAABanVb4/0sAAAAAAMOLiopiAolE0qdPHybu0aOHhYUFE0dGRtbbCU3Tin8QQh4+fDhnzhzVKhm1xuvXr2cLcTgcO3bsiy++UK2SUVVdXb1ixYrz588TQtij03Qd72uppVcv7t5UGzATVDWdxYsXh4eHq1XJqKFpevv27atWrWrqZAAAAAAAAAAAAADAiDCiDAAAAACArvLz8x8/fszEvr6+7JAkFEX5+fnt27ePEJKdnZ2Tk1N7mBZNkpOTo6KiaJp2cnKaOXOmg4ODWCymaTo/Pz8qKiouLo5p9v3333t4eFhZWWnqJyEhYffu3ezihAkTfH19O3XqxOPxqqurHz16tHfv3ocPH27cuNHf37/hp96S2NvbT5o0ydnZ2cbGRiwWE0IUCkVRUVF8fPz+/fulUikh5NatWxERETNmzDB2sgAAAAAAAACNJD9/RPkszdhZ6EowZCzf0c3YWQAAQOuEQhkAAAAAAF2dO3eOjceMGaO66bXXXmMKZQghcXFx77//vpZ9Hjx4kBAyc+ZMf39/1cqbjh07BgcHd+/enS1/iY6O/vDDD+vsRC6Xf/vtt+zi6tWrBw4cyC6KRKJ+/fpt2LBh9+7dv//+e3R0tJa5tTju7u5Lly7t1q2b2nqBQGBra+vt7e3l5bV8+fKUlBRCSFRUlI+Pj7W1tTEyBQAAAAAAANCVIu22IukvY2ehK34PF4JCGQAAaBoolAEAAAAA0IlSqTxy5AgTd+nSxc7OTnWrjY2Ng4MDM97M77//PmPGDD6fr2XPnp6eU6ZMqXOTj4/P0aNH8/LyCCFxcXGBgYFsMY2quLg4ZqAUQkhwcLBqlQyLoqiPPvroyZMnd+/e1TKxFicwMJC7gamp6YoVK2bNmlVdXU0IOXXqVEBAgDY9K5VKuVyuTUuapjVNQQWEEObi4Cq1Zbj1bQd7r3HT2w61e42/7dsg3HRjwAUHAAAAgOauQV8T9PudAoUyAAAAAAA6efDgQVVVFRPXWdfi7++/bt06QohMJktOTq6zWqVOmsaJIf9M6rRz505CiFQqLSwstLGxqd0sKiqKCdq1a+fl5cXR25w5cz755BMtE2uVJBKJn58fM5CP9oUyT58+nTp1KnebXr16EUKqqqoKCgp0z7N1k8lkuEptk1KpxK1va2iaxk1vs0pKSoydAhhaaWmpsVMwBIVCwQRyuVzTY3dFTY1hHsnX/JOMfikUyqboFgCg+avjt9mWWZGoVOrzb3L99gYtCG59G9QUN12pVBYXF2vfvrKyUo/J8HTvAgAAAACgLYuNjWXjoUOH1m4wePBgNmbHnqmXm5ububk5RwNnZ2c2LiwsrN0gPz+/qKiIiSdPnsw9kk2PHj3qLLVpU9zc/jukc1FRETsSDwAAAAAAAAAAAAC0JiiUAQAAAABovMrKyitXrjCxm5tbu3btarcRiUTDhw9n4r///rusrEybnlXLa+pkaWnJxnWW3j99+pSN2RIQDiNHjtQmsVZM9ZLiZXcAAAAAAAAAAACAVglTLwEAAAAANN61a9fY2NfXV1MzHx8ftp7m0qVLEydOrLdnOzs77gZCoZCNZTJZ7QZZWVlsbGtrW+8RHRwc6m3TotE0nZmZmZycfPfu3aysrNzc3OrqatUGqoN2lpaWdurUyeA5AgAAAAAAAAAAAEDTQqEMAAAAAEDjHTp0iAl4PJ6rq6umZk5OTkKhkClnOXz48IQJEyiK4u7Z1NRUx9yeP3/OxhKJpN72rXvqpRs3buzcufPFixdatq+z9qi2Dh06fP7559xtjh07RggRCoV1DjgEjOrqarlcLhAIRCKRsXMBA2FuOhNTFGVmZmbcfMBgampqpFIpbnqbolAoqqqq2EWJRMLjYZTrtqK8vJwQIhaLuacBbR3YDzbHyfIMdR34TfOnjMer51sMAEBrVcdffy3zb8R6n0dpiaZpPfYGLQJz0xm49W1K0/155/F4DXpeyuagl2RQKAMAAAAA0EhZWVk5OTlMPG7cOIFA47+u+Xy+j4/PkSNHCCH5+fkZGRn29vZNnZ5qqYc2P0fpXprTbO3atev3339vip4tLCymTJnC3ebMmTOEEJSAcKupqZHL5Xw+H1ep7VAoFKqFMrj1bYdMJpNKpYQQ3PS2Qy6XqxbKCIVCjn81QSvDFMoIhUITExNj59Lk2Of1HP/2NtivShTVJIUy+FUMAKCl08vf5GzBBP6/0HaoVskQ3Po2pukKZRr6OEihULA76n50fCkFAAAAAGgkpgCCcfLkydOnT3M0Vp3W58SJE//617+aMDNCCCGqv0Yolcp63+LVcgyVFuf8+fNslQyPx/Px8fHw8OjSpYuZmZlAIKAoiv1mlZ2dHRQUZLxMAQAAAAAAAAAAAKDJoVAGAAAAAKAxFApFbGys2hot942Li5s9e3ZTv1bbqVMnNq6qqqr3cAUFBdp3rvYeSW3aX40mpVAodu7cycQWFhZbt261trbmaGyovAAAAAAAAAAAAADAODAfMAAAAABAYyQlJdXU1DRuX6VS+ffff+s3n9q6du3Kxnl5efW2f/r0KXcD1TFp6q0pyc/Pr/eIBpCdnV1RUcHEn3zyCUeVDCHk+fPnBkkKAAAAAAAAAAAAAIwGI8oAAAAAADRGdHQ0G//6668SiaTeXRQKxZQpU5gSk8OHDw8ZMqQJ8yPE3t6ejW/fvt2rVy/u9hcvXuRuYGFhwcZlZWWqi7UlJydrkWOTe/bsGRs7OTlxN05ISGjidAAAAAAAAAAAAADAyDCiDAAAAABAg5WWliYmJjLxK6+8ok2VDCGEz+ePHTuWie/fv19UVNRU+RFCCLG1tTU3N2fimJgYpVLJ0TgzM7PeUWc6dOjAxk+ePOFoKZPJzp8/r22iTam6upqNVUfEqbNlXFxc02cEAAAAAAAAAAAAAMaEQhkAAAAAgAa7dOkSG0+cOFH7Hb28vNj4zz//1GdOtVAU9fbbbzNxaWnphQsXNLWkaXrXrl31dtixY0eKopg4NjaWo+WhQ4e463IMRrW4JyMjg6NleHh4o+fSAgAAAAAAAAAAAICWAoUyAAAAAAANQ9N0ZGQku+jq6qr9vr169TI1NWXi6Ohomqb1nNz/N3HiRKFQyMSbNm1KSUmp3Yam6Z9++okdIIcDn88fMWIEE9+/f//69et1Nvvjjz+ioqIam7Keqc4/tW3btjpLYWiaPnTo0MmTJw2YFwAAAAAAAAAAAAAYBwplAAAAAAAaJj09nZ01afjw4WwlijZ4PN64ceOYuKys7OHDh/rPT4VQKAwNDWUXlyxZEh4e/uLFC2a4F5lMlpqaumzZsujoaEKIr69vvR3OmDGDjdesWXPw4MHi4mKm3Ke6ujotLW3lypWbN2/m8/nsYDbGZW5uPnz4cCbOzMwMDg5OTEyUSqXMmsrKysTExNDQ0IiICELIlClTjJYoAAAAAADowMq860zfnzra9DV2IgAAAADQAgiMnQAAAAAAQAtz/PhxNh4/fnxDd/f09GTnLTp27Nhnn32mt8zq4uHhMXPmzJ9++olZPHr06NGjR2s3CwkJsbe3/+2335hFdoolNXZ2dgEBAQcPHmQWDx48yMaqvvnmG5lM1kzGlQkJCUlMTCwvLyeE5OTkfPXVV3U2Cw4OHjhw4OHDhw2bHQAAAAAAAAAAAAAYFEaUAQAAAABoAJlMdvr0aSamKMrFxaWhPfTs2VMsFjPx+fPn2dFNms6UKVNWrFghEonq3Mrn85ctW/bGG28ww8wwBAKNJfXTp08PCgrStLVDhw7bt2/v27cZvccpkUi+//57R0dHTQ1EItHKlSvZkX4AAAAAAAAAAAAAoBXDiDIAAAAAAA1w69YtZqYhQsjo0aNNTEwa2gNFURMnTmRmOyKE3LhxY+TIkfpMsS7u7u4HDhy4du1afHx8YmJicXGxlZVVnz59hg8f7uHhwdTQlJSUsO3NzMy48x85cuTFixdv3Ljx4MGDysrKDh069OvXb/To0QMHDuTz+U19Og1laWm5bt26tLS08+fPJycnZ2ZmEkI6duzo4uLi4eHh5ubWiPsIAAAAAAAAAGBIHwfP3/fzAULIz+E7p03xM3Y6AAAtGAplAAAAAAAaYOjQoezESY02a9asWbNm1V5vZ2enfefm5uYNykQgEIwYMWLEiBGaGjx79oyN2TFvOI7u7e3t7e2tqcGAAQO40xOJRPXmr682hBCKohwdHTnGlSENvP4AAAAAAKpePxKmqJYRQkxFfIGGMuyunS2UQkOUlQ/tyFMQWu/dVvXlK5X1jFL/yipe1T/xiNd7frZgot7TgOapoqJCLpebmprW+3US6mRhKTI3N9WxEx6/7mmUWzqRyMTUtAl/0Kyurr527dq5c2cTbiUkJycXFRUJBAInJ+fhw4a99troMWPGmJmZ8fhEfZJqPm34eTsUNE8ulxNClDwhEbZr8P6t8wNSt5UrV65du5YQsmHDhpCQEGOnAwDNDgplAAAAAACAEEIuXbrEBD169KDUH/8AAAAAAAAX6wE9621jsPIBa11/bddAi99kVb9JWFmLe/a2aZpUoNkpLTWRyWRisZhjgFKAxuHxqSYq8SgrK1uzZs26detUZ6NmxMdfj4+/vmnzJkLIp59+GhYW1q7d//9LsKmS4sT+JUvxCK/ZDejbrCgUiv8WFdW6uQAAhBi+1hEAAAAAAJqf/Pz8x48fM/Ebb7xh3GQAAAAAAAAAAJrUn3/+aWdn9+2339ZbSLFp0yZbW9uoqCjDJAYAAAaAEWUAAAAAAJqL58+fBwUFMXFYWNiAAQMMc1yapnfs2MEuDh482DDHBQAAAACAVuzRg4LjMXeNnQUYiFQqVSgUJiYmQqHQKAmUdW5X3ZKHRnW2Mx/QxVLHToR8Hp/Xkq+CJjUyolCoraMJj1ZyzTHHE4s4tu7du3f27NnsooODw9KlS8eMGdO5c2dm+rDKyspHjx5FRkZu2LBBKpVKpdKpU6cWFBS0b99ehzMBAIDmAoUyAAAAANCGBAQESKVSjgYSiaRbt249e/YcNGhQ//79JRKJwXIjhNA0raj16Ef3PsPDw6dOnWpubl5nA4VCsWfPnps3bzKLHh4ednZ2+s0BAAAAAADaoJSk55GyW8bOAtqKglH2OfIaY2fReNPduznYaDG9GSeeiGqVhTK0XEbkMrWVSiKg5VyPUDgKZc6fP89WyZiYmOzfv3/69Olqk1CbmZm5urq6urp+8cUXy5Yt27x5c2PTBwCA5giFMgAAAADQhigUCu5KlLKyspSUlJSUlBMnThBCJk6c+P7774tEXC8hNX+//fbbb7/99vrrr7/++uv29vbt2rWjKEqhUJSWlt6+fTsiIuLFixdMSz6fzw5pAwAAAAAAAADQylRUVPj4+DCxUCi8e/du7969OdqLxeJNmzZ5eXn5+voaJEEAADAEnrETAAAAAABovk6cODF79uySkhJjJ6IH586dleAUGAAAIABJREFUW7Zs2bvvvuvr6/vmm29Onjx51qxZmzZtYqtkBALBunXrrK2tjZsnAAAAAAAAAEATWb9+fUVFBRNHRUVxV8mwvL29ExMTeTyNv6umpqZu2LDBx8enU6dOYrG4R48e06ZNCw8PLy4u5u75448/FgqFQqHw0KFDzJri4uJt27a99tpr1tbWQqFw6tSpmvalafrKlSsLFy50dXU1MzOztbWdOnXq4cOHa2q0HV2JpukbN24sXrz41VdftbCwaNeu3SuvvPLZZ59du3ZNqVRy7DhnzhyRSKSadnl5+Y4dO4YPH96uXbv27dtPmDBh7969lZWVWmbCLTU19ZtvvvHy8urSpYupqamFhYWjo6O3t/fKlSsvXLjA3lDmjJjr+fXXXzNrFixYIKwlKytLj1eDNPY+NvpjwyovL9+5c+eECRMsLS0tLCxeffXVr7766s6dO8zWlStXMln98MMP9XZVVFS0Z8+ed955x97eXiwWd+rUydfXd9u2bXl5eVomA9CyYEQZAAAAAGijYmJi+Hy+6hqapmtqagoKCv76669ffvmFeaxQWlq6ePHi77//nuNpSCvg5ua2cOFCTdMzAQAAAAAAAAC0dDU1NWvWrGFiNze3SZMmab9vv379aq+kafr06dOLFi1KSkpSXZ+enp6enh4ZGfnhhx+uW7fus88+0/RYSaFQyOVyQghTihEZGRkQEKBaliGTqU87xSgrK/Py8oqPj2fXVFZWRkVFRUVF2djYXLx40cXFhfuMUlNTJ0yY8PjxY9WVCQkJCQkJmzZt6t69+8mTJzV1opb2hQsXxo8fz053XlFRcerUqVOnTi1cuPDChQuurq7cmXAoLS319/c/e/as6kqZTFZWVpaWlnbixIlVq1bZ2dnl5OSwW5nEVNVeQ9O02hpdrgZp4H3U/WPD+O233/z9/VUHz46Pj4+Pj//6668nT5586NAhNivuAbarq6sXLVq0detW1ZVSqTQ2NjY2NjYkJOSLL75YsWKF2nNUgJauNT/rBwAAAADgoDb5NLPGxMTEzs7Oz88vPDxcLBYz63NyclSfO7QsFEUdOnTom2++mTVr1vDhw+3t7ZlqGIFAYGdnN3r06KCgoP37969atQpVMgAAAAAA0EKVlGX9cuyDFwWpxk4EAJq1mzdvsjUTy5cvr/1oqKGuXbs2fvx4tXIHNYsWLXrvvfdqV2bUFhUVNW3aNLXBS+rcMTk52dnZWdPTqoKCgn79+l29epXjWKdPn+7bt69aXYiqjIyMfv36HTt2rN60//rrr9GjR7NVMqqKi4sHDRpU5/At2pDL5a+++qpalUxT0OPVIFrcR718bLZt2/bWW29pqoCJiYkZNmxYbm5uvdkWFBQ4OjqqVcmoWbNmzZgxY2rXGwG0aCiUAQAAAACog5WV1fz589nFCxcuGDEZHYnFYhcXF39//yVLlmzdujUiIiI2NvbIkSO7du367LPPJk6ciOmWAAAAAACgRaMJUSoVhNT/OzQAtGWXL19m49GjR+urWzs7uy1btqSkpJSVlSmVSqVSWVpaeunSpZEjRzINDh48ePLkSe5OLl68GBAQQAj5+uuvMzMza2pqaJqmafq3336r3Xjt2rVM9cnXX3+dlZWlUCgUCkVubu769evZNp6enpomE8/MzBw3bhy7+J///CcnJ4fpJCcnZ926deymN998k6N8hBASHx8/ZswYQsi///3vZ8+e1dTUKJXKvLy8sLAwpoFCoQgJCeE+d00OHjx4//59Jl65cuWDBw8qKiqYKyyTyQoLC2/fvr1ly5aXX36Z3YWiKOa6LVu2jFmzYcMGupZu3bo1xdUgDbmPunxs7t69y15Vc3PzX375pbCwUKlU1tTUPH36dMGCBYSQmzdv7tmzhztbmUw2ZMiQjIwMQgiPx1uxYkVaWppUKlUqlXK5/PHjx6GhoUzLK1euLFq0iLs3gJYFUy8BAAAAANRtwIABbMz9kgcAAAAAAAAAADRzCQkJTCASiaysrHTvUCwWHzly5M0331Sblcbc3HzEiBEXLlz46quvmMmeZs+enZWVxTGGzQ8//MDn85OSkvr376/l0RMSEgYNGsQudurUKTQ0dMKECa6urgqFQiqVLl++/Lvvvqu94+zZs5lAKBTevn3b2dmZ3WRnZ7dw4UJvb++XX36ZmS1oxowZly9f1pT55s2bJRLJ3bt3e/fuza7s0KHDV1991bVr1w8//JAQEhMTU1hY2L59ey3Pi3Xw4EEm2Lt3b2BgoOomExMTa2tra2vrgQMH1lmIw05aVO+EQXq8GkS7+6j7x4a5sEyGycnJNjY27Mna29tv2rTJy8vLx8eH+8QJId9++y1T+tOhQ4fbt2937dqV3SQQCHr27Ll+/Xo/P7/hw4cTQrZu3bpgwYIePXrU2y1Ai4BCGQAAAACAukkkEjaurq7mbkzTdEZGxp07d+7du/fo0aPCwkKBQNCtW7c+ffq4u7u7uroKhcLGpUHTdHJy8sWLF+/cuVNQUCAWi/v27Tt48OCRI0eqZmiU3BQKxd9//33x4sWUlJSCggJLS0sXF5c33nhj4MCBtb/DFxYWXrhwIT4+Pj09XS6X9+zZc/DgwWPHjrW0tDT8Wbx48SIhIeH27dvp6en5+fk8Hs/W1tbBwaF///5ubm4dO3ZswFUAAAAAAAAAgJaAnato4MCBeunw5ZdfVh3ORA1FUWFhYQcOHHjy5ElOTs6TJ08cHBw4evvhhx+0r5LZsmWLapUMy8XFZffu3UxZyZYtW9auXWtmZqbaID09/fTp00z8888/q9aFsJydnX/++edp06YRQv7666+0tDRHR0dNmRw8eFC1Sob1/vvvL1myJD8/nxBy/fr1CRMmaHlqrCdPnjDB2LFjG7qvlvR+NYgW91HHj83Dhw+vX7/OxLGxsWyVjCpvb+958+Zt27aNI43y8vLly5cz8R9//KFaJaNq2LBhK1euXLlyJSEkPDycHSsIoKVDoQwAAAAAQN2qqqrYWNN3RUJIRUXFmTNnDh8+XFpaqrpeJpOlpqampqYeP36coqi5c+eOHTu2obNf5+bmLl++XHVGYZlMFh8fHx8fv2PHjtDQ0FGjRnHsrsfcnj9/HhQUxMRhYWEDBgx4/Pjx8uXLVXsuKCi4dOnSpUuX7O3t165da25uzqxXKBR79uw5fvy4aof379+/f//+zz//HBIS8sYbbxjmLAghZWVlmzZtunnzptr6zMzMzMxMZo4tZ2fn2bNn9+nTh7srAAAAAAAAAGhBnj9/zgQcz3n0i8fjzZ8/n5kK58qVKxyFMjweb+bMmdr3/NFHH2na9N577wUFBTEjoFy+fFl1XiFCSGxsLBNYW1tPmTJFUydTpkyxsbEpKCgghERHRy9durTOZlZWVpMmTapzE4/He++99zZv3kwISU5ObkShjKOj44MHDwgh586dmzVrVkN314Z+rwZp+H3U1AnHx4Z9wubi4jJ48GBNnSxbtoy7UCYuLo4JRo0apTqudm0ff/wxUyizc+dOFMpAq8EzdgIAAAAAAM3UvXv32PjVV1/V1Gzx4sXh4eFqNRxqaJrevn37qlWrlEql9gk8fPhwzpw5qlUyan2uX7+ee4prPeZG07TiH4SQpKSkBQsWaOo5PT19/vz5zBOZmpqaJUuWqFXJqNq6deuZM2cMcxYlJSUfffRR7SoZNSkpKaGhoaqVUgAAAAAAAAAAjdC3b18muH//PkezSZMmaT9Wrre3t0gk0rTVxMSErfm4fPmy2tY///yTCd5//312fqLaeDweO9vRuXPnNDV77733ON5ZcnV1ZYKHDx9qasPhgw8+YFNduHDhnTt3mKdSeqTfq0EaeB85cHxs/vjjDyZQm45KTefOnbt168bR4MSJE0zw7rvvcifTqVMnJsjPz6931G2AlgIjygAAAAAA1KGsrEx1FmfuIU8IIfb29pMmTXJ2draxsRGLxYQQhUJRVFQUHx+/f/9+qVRKCLl161ZERMSMGTO0SSA5OTkqKoqmaScnp5kzZzo4OIjFYpqm8/Pzo6Ki2Hc+vv/+ew8PD+55tfWe2+3bt6Ojowkhr7zyyrvvvvvSSy+ZmJjI5fLHjx9v3rw5OzubEJKfn793795//etfGzZsSE1NNTU1DQwMHDp0qKWlJUVRpaWlp06dioiIYDrcunWrh4dHu3btmvosVq1aVVlZycQeHh5+fn5du3aVSCQURSmVyvLycmZQGfbyAgAAAAAAAECr0aFDh4qKCkKIpreSGkehUFy7du3MmTNXr1598ODB8+fPVes52Pjx48ccnXC8o1XbsGHDuBsMHTr0wIEDhJDExES1TTdu3NDyiEOGDGECdsqq2rhHImFnBSorK+M+Vp18fX3Hjh3LTI20YcOGDRs2EEJGjhw5fvz4MWPGDBo0yNTUtBHdqtLv1dCmH1ajPza3bt1ignpnEBs2bFhkZKSmrdeuXWOC+fPnL1q0iBBC0zTzBhobKJVKNmaUlpba2tpqd4oAzRoKZQAAAAAA/ke19oIdUGTu3LkdOnTQtIu7u/vSpUtrv6IhEAhsbW29vb29vLyWL1+ekpJCCImKivLx8bG2tq43k4MHDxJCZs6c6e/vz76aQ1FUx44dg4ODu3fvvnv3bmZldHT0hx9+aMjcoqKiCCFBQUETJ05kVwqFQicnpy1btsydO/fFixeEkJMnT1pZWV25cqVLly7r1q1jZ2IihFhaWk6bNs3Ozo55xkEIOXbsWEBAQJOeRVZWFvsC0zvvvDN9+nTVrXw+39LS0tLSsn///oGBgezQuwAAAAAAAADQOgwZMiQ9PZ2olBroLiYmJjAwsLi4uN6WTI2OJg2aDYp7pBDVBs+ePVPbxK7p3LkzdyddunRhgrKyMqVSWeeAK9xvPbG70DTNfSxNu588eXL//v2LFi1ipj0ihDCzfjNxYGDgqlWr6r0aHPR7NYjW91GXjw2bc70FKz169ODYyo5VI5VKmTfQtFFTU6NlS4BmDoUyAAAAANBG+fn5qY0NW3v41pdeeikkJMTJyYmjH+5hTgkhpqamK1asmDVrFjM26alTpzRVhKjx9PTUNDuyj4/P0aNH8/LyCCFxcXGBgYF1jnPbdLlNmDBBtUqGJRQK586dy8xbTP4p9/n3v/+tWiXDGjVq1C+//MJMEH7ixAlNh9bXWaSlpbGxv78/R4disXjatGncB2U8f/5848aN3G2YJxrV1dWNe32qjWCes9TU1OAqtR2qD9domsatbzvYlxFx09sOtYkRKysrOcbnh1apsrKSYy4DAAD9aNTP8NCC1XfH66zMGDRoEPPyj1QqLSkpsbCw0DGLbdu2ffLJJ9q356gXEQgE2leT0DTN3ZjdytFS+07UGqvtxdGJWg8cx9KEoqj3339/5syZ9+/f/+OPP06dOhUXF8c+wQsPDw8PD9+zZw/Hs6N6T1PLZpquhhpt7qMePzbcx2L/1V1nwg2aIL5Bx4VWqSluulKpZAf/1gbbWJdPLwuFMgAAAADQRtX77+lx48Z98MEHEolE92NJJBI/Pz+makT7YhRN48QQQiiK8vPz27lzJyFEKpUWFhayg9kaJrdZs2Zp2tS/f3/VRT8/P02j1FAU5e3tHR4eTggpKSkpKyurs55GG9qcBfvukUgkMjExadyB1FRUVHBPTU0I6dWrFyFEoVBgFud6KRQKvU83Di0CTdP4A9LW4Ka3ZTKZzNgpgKHJ5XJjpwAArR9N8Kst/D91/qY7fPhwNr5w4YKPj48uh8jOzmbLHfr06bNixYohQ4Z06NDBzMyMz+ezNQpxcXHMu0Z1Fis0qJSEbZCVlcXdOCsriwm6dOmi1rJr167M1tzcXO5OcnJymMDMzIyiKI6CG+60idbVKppQFOXs7Ozs7BwcHKxUKh8/fnz48OH169cXFRURQmbPnu3u7u7q6qopK45D6+tqaH8fdf/YdO7cmUkmLy+P+1hPnz7lyIrt5+zZs2PGjOHopzYUyrRBTXHTG/pkQL+PEVDIDwAAAABQt7i4uOnTp+/bt08vY4q6ubkxQVFRkTbDmbq5uXFXjTg7O7NxYWGhIXN75ZVXOOqHhEJhp06d2MXXX3+doytHR0c21ma8WQ71ngV7PaVSKfdwxwAAAAAAAADQ+gwZMoTP5zPx2rVrdfzdl3ldhxDi7u6elJQUEBDQq1cvS0tLgUCgOn4eMx6wfl27do27QXx8PBO8/PLLapvc3d2Z4ObNm9yd3LhxgwkGDx7c4BSbDI/H69279+eff56VlTVkyBBm5bffftu43gx/NXT/2LBPwJKTk7mPxf05GTFiBBOwnxaANgWFMgAAAADQRsXExMTWcvTo0YiIiJUrV/bu3ZtpduTIkYULF2o/U68mlpaWbFxSUlJv+3q/dat2qGOJSUNzYx8iaMJO20zqm+PZkGfRp08fNv7mm28aNLAnAAAAAAAAALR0JiYmixcvZuLr16+fOXNG+31TU1PVnjZcunSJCb766iuOkWuPHTvW8Ezrcfz4cY6RFWpqag4fPszEw4YNU9vKjh2yb98+juGWlUrlvn37mJj7JShjMTU1XbNmDRPHxcWpbWWLTrhHrjX81dD9Y8PmvH//fo4DvXjxIj09naPB2LFjmWDHjh16mcgGoGXB1EsAAAAA0EapvqXB4vF45ubmgwYNcnNzi46O/umnnwghjx8/XrNmzerVqzl6o2k6MzMzOTn57t27WVlZubm5ag8sVL9wlpaWqo65Uic7OzvuBkKhkI25pzDQe271NmDHmzE1NRUIuL50mJqasjH3mPy6n0WPHj3YAXUTExOnT58+YsSICRMm9OrVq9ETbIlEogEDBnC3YfLk8Xjcl6KNUygUNE1TFMW+2wetnlKpVP1jiz8gbQdN08yjatz0toO96QzVIeWh1WOGZsRNBwCA5mPJkiXfffcd8/KMv7//vXv3XnrppXr3+uOPPyZOnJidna26srS0lAlEIpGmHTMzM9maFT1i6jbmzJlT59bIyEj2jS921BDWm2+++emnnxJC8vPzjx8/PmnSpDo7OX78+IsXL5jY399fP3nrW7t27Zig9sjB7PtU7EzcdTL81dD9Y+Pj47No0SJCyO3bt2/fvl170CDGhg0buDPx8/P76KOPCCHPnj379ddf33nnnXqTB9AviqIa9GRAv48R8EgCAAAAAKAOFEX5+/snJCTcvXuXEJKYmJiSkqI625GqGzdu7Ny5k/3CXC/uuhaGagWJLoySG4/336ErOb7zN4hezoKiqFWrVoWEhFRVVTFrLl++fPnyZUKIjY3NkCFDBg8e7OzsbGZmpn1iXbp0+fHHH7nbMM+tRCKRlZWV9j23NeXl5VKpVCgUcs84Bq1JRUUF+4eRx+PhD0jbIZPJSktLKYrCTW875HK56uvX5ubmKJNqO/Lz8wkh7dq143hhGgBALyiKRwhGRGhL6ivBZB9NqLG0tDx69CgzlkZlZaWLi8vBgwfffPNNTf3IZLKwsDBm5BIej6faraur64ULFwghmzdvHjt2bO2q0OLiYi8vL5WUqdpZsXvVuVVTY0LIvHnzRo4c2b9/f7U2Dx8+/PDDD5k4KChIdfxdhoODw5gxY/78809CyDvvvJOUlOTg4KDW5vHjx2zZxKuvvurk5KR6aNUpq7jTbtDZqVEqlQsWLFiyZEnXrl3rbEDT9NatW5l4zJgxav3b29szwfnz5zkOrfvVYGh/prp/bPr27evm5vb3338TQiZPnnznzp3ad/n8+fPr16/n6IQQ0r59+9DQUKaeZsaMGXZ2dqrHVSOXy0+ePGlubv7aa68RzX++oFViXnNqopveoCcD7HcKvSSDDzEAAAAAQN0oilJ9l+Lo0aN1Ntu1a9fq1au1r+EwJKPnppcvLXo8i44dO/7444/s0LKsgoKCkydPhoWFBQQEhIWFZWRk6H4sAAAAAAAAAGiG3njjjW3btjFxZWWlr69v//79IyIiMjIy2MFrq6urU1NTv/nmG1tbW3Z+HzXsyCKnTp3y9/dPSUlhxspVKpW5ubk7duzo3Lnzw4cP586d2xRnoVQqBwwYsGHDhry8PKZypbCwcPv27X379mVeHzIxMdGUOfvOT2VlpaOj47Zt2woKCmiapmm6oKBg+/btjo6O7IzVP/30k7FGhtu6dWu3bt28vLyio6MzMzPZu1NVVXXnzh1/f/8DBw4waxYsWKC2Lztv+NWrVw8dOsQxAbeBr4buHxuKoticMzIyevbsGRMTU1ZWRgihaTo7O/uLL75gp2fitnbt2p49ezLxG2+84e3tfenSpdLSUuYTpVQqi4uLExISVq1a1aFDB19fXx2nTQdoVvD2BgAAAACARj169GDjq1evMlPDqDY4f/7877//zsQ8Hs/Hx8fDw6NLly5mZmYCgYCiKLZ9dnZ2UFCQoRJv7rlpT+9nIZFI5s2bFxgYePv27StXrsTHx6tN4XTz5s2bN2/6+fnNmjULcwQAAAAAAAAAtD7BwcG9evXy9fVlakru3r373nvvcbQ3MTH58ccf27dvr7py1KhRo0aNunjxIiEkJiYmJiam9o579+7t3r37jh079Jo+WbRo0f79+1+8eLFw4cKFCxfW2SYuLk4tYZa9vf2xY8eYaYYUCkVISEhISEidLSMjIx0dHfWVduOcO3fu3LlzHA2mT58+btw4tZU9e/Z0cnK6f/8+04BZyQ5H8eTJE3agGgNfDb18bAYOHLh+/Xrm1hcVFfn5+dVu4+rqOmjQoH379hFCNM1zLRQKb968OXTo0LS0NELIiRMnTpw40ZizAmiBMKIMAAAAAIBGEolEdZGdJYShUCh27tzJxBYWFj/++OPs2bP79etnbW0tFAp5PJ5qmYVCoTBAwi0iN+013VlIJJJhw4YtWrQoMjJy//79K1as8PT0VH1qcOTIEWbcXQAAAAAAAABofcaPH//ixYtPP/203tFwQ0JC8vPz3333XbX1FEWdOHFi9OjRmnbct29fYGCg7qnW5ubm9uDBgwEDBtS51cLC4tatW9xjivj4+Ny9e7d79+6aGnTt2jUxMfHtt9/WNdfG4vF4Dx8+rPcCrly5MiIios65kGJjY9Xm15b/Q3X2KGLYq6Gvj01oaGhkZKSmT+/48ePj4+NtbGyYRY55xtu3b3/37t1vvvmG+3A9e/aMiIjw9vauNzGAlgKFMgAAAAAA2mKGQmVlZ2dXVFQw8SeffGJtbc2x7/Pnz5sws1qac27aM8BZUBRlbW3t7u6+YMGCqKgo1ScRu3btYqbgBQAAAAAAAIDWx9LScuPGjZWVlefOnQsLC/P29u7YsSOfz5dIJO7u7p988smRI0dKSkq2bNliYWFRZw9mZmZ//vnn1atXg4KC+vTpw+PxzM3NR44cuXHjxvz8/FmzZjVd8lZWVrdv3z5z5sy8efP69u1rYmJiYWExefLkiIiIvLw8Nze3entwcXF58uTJX3/9tWDBAjc3N5FIJBQKBwwYMG/evIsXL2ZkZLi6ujZd/tro1avX3r17S0tLjxw5wrw6xefzTUxMnJycAgICDhw4UFpaumLFCk3FIn369MnLy9u3b5+vr6+9vT13RZQhr4a+PjZvv/12cXHx1q1bvby8JBKJUCh0c3NbvHhxfHz8yZMnTU1NU1JSmJb29vYc/ZiYmCxZsqSysjI2NvZf//oXc/o8Hq979+5vvvnmunXrkpOTHz58OH36dIEAk9VA64FPMwAAAACARmoTGJuamqouPnv2jI2dnJy4u0pISNBjYvVqzrlpz8BnIRAI3nrrrWfPnp0+fZoQUllZWVhY2KFDBx27BQAAAAAAAIBmy9TU1NPT09PTs9E9DB06dOjQoZq2enl5qY1fomrv3r179+7V8kBqjXk8npeXl5eXl/apquHxeB4eHh4eHg3dcc+ePXv27Kl3MB4fHx+Oc9eSubn55MmTJ0+e3Ih9xWLxrFmztCw9afTVIA28jwxdPjYsc3PzefPmzZs3r/ammpqas2fPMjF3oQxDLBZPmjSJmYKqNpqmdb+VAM0KRpQBAAAAANDo6dOnbGxmZiYSiVS3VldXs7GmuX7ZlnFxcfrOjktzzk17RjmLYcOGsXFZWZle+gQAAAAAAAAAADCYI0eOyGQyQoiFhQXHrFIAbRYKZQAAAAAA6kbT9IEDB9jF2lM7q441kpGRwdFVeHh4TU2NftPj1pxz055RzqKwsJCN27Vrp5c+AQAAAAAAAAAA9OXQoUNpaWmatqakpLDj6HzyyScURRkqL4AWA4UyAAAAAAB1i4mJuXv3Lrvo6+ur1kB12NJt27bVWahB0/ShQ4dOnjzZRElq0pxz055+zyIyMjIpKUmhUHC0qaqq+vnnn5lYJBJh3iUAAAAAgBbByrzrTN+fOtr0NXYiAAAAhvDgwQNHR0d/f//Lly+XlJQw8yJVVVXdvXv3008/dXFxkUqlhBChULhkyRJjJwvQHKFQBgAAAADgf2iarqysTEpKWrx48b59+9j17733XqdOndQam5ubDx8+nIkzMzODg4MTExOZb6GEkMrKysTExNDQ0IiICELIlClTDHECLSE37en3LB49evTFF19MmzZt165diYmJhYWFcrmc2aRQKIqKis6fP//xxx8XFRUxK4OCgvDCDQAAAAAAAAAANE9HjhwZOXKklZUVj8ejKEoikfTv33/z5s1sg7Nnz2K8ZIA6CYydAAAAAACAcfj5+amVQdA0rVQqa7ccO3bs22+/XWcnISEhiYmJ5eXlhJCcnJyvvvqqzmbBwcEDBw48fPiwzlk3QHPOTXt6PwuZTPb777///vvv3M3GjRtXe7ItAAAAAAAAAAAAowsNDS0uLt60aZOmBn379j169KiTk5MhswJoQTCiDAAAAAC0UUqlUvH/1a6S6dy589dffz1v3jxNI4tIJJLvv//e0dFR01FEItHKlSvHjRunz9S105xz057hz8Lc3HzRokU9TrFcAAAgAElEQVRz587FcDIAAAAAAAAAANAMmZmZbdy4saCgYPfu3b6+vnZ2djwez8rKasyYMZ9//vnff/997949VMkAcMCIMgAAAAAA/yMQCDp16tSjRw8nJyd3d/euXbvWWy1haWm5bt26tLS08+fPJycnZ2ZmEkI6duzo4uLi4eHh5uZmYmJikNxbWG7a09dZLF68OC8vLyMj4+nTp0+ePMnJycnLy6uqqlIqlZaWlt27d3dxcXFzc3N0dOTx8EYBAAAAAICuevRu/4YPfqJrK2QymUKhEAgExvqaWdzDqorQRjm0Xgx6yUpsoutXUT6vlb7vIRASSv3iUDRF8fErJ7R17du3nz179uzZs42dCEDLQ9F0C/53AwAAAAAAQDM3Z86chISEuXPnBgYGGjuX5qu8vFwqlZqampqbmxs7FzCQioqKqqoqJubxeO3btzduPmAwMpmstLSUoigbGxtj5wIGIpfLS0pK2EUrKyuBAD9rtRX5+fmEEEtLyxZRnw16YWZmVllZycRffvnl6tWrjZsPGExpaalMJhOLxWZmZsbOBYh093JF0l/GzkJXplPnC0ZMMnYWUAeappnfl/GiUdvB3nQGbn2bwozC3hxuekVFxWuvvUYIiYyMdHBw0LE3458PAAAAAAAAAAAAAAAAAAAAAIAB4O0NAAAAAMORSqVpaWnJyckPHjzIyckpKipSKpVmZmbdu3fv2bNnz549nZ2dO3XqVO9cP1KpNCAggIlDQkI8PT2bPvcGaxFJtgVt6kakpaUtXryYiXfs2NG5c2fj5gMAAAAA0FLQcrmirJy7DV9EUQ2Z2KVKriiokOmWF7QYZZVyubymipZLSZu76RYipQlfZOwsAAAAoAFQKAMAAABgCDk5ORERERcvXqy9SSaTFRUVJSYmMovm5uZTp04dN26cSMT1kEWhUDABM/Jh89QikjSugIAAqVTKxNHR0U00gmWbuhHsyWKSWQAAAAAA7VUk3MlYUs80SX2X9KaqC7nbKImCjQ/cyvlz22U9JAfQvO2bpRhg94axswAAAIAGQKEMAAAAQNOSy+V79uw5efKklu3Lysr27t0bHh4+derUt99+WygUNml6YFwKhYIt7AAAAAAAAAAAAAAAgKaGQhkAAACAJlRWVrZ48eKsrCx2TefOnd966y1nZ+cOHTpIJBKKomialkqleXl5ycnJJ06cyMzMJITQNH3o0CFTU9MpU6YYL30AAAAAAAAAAAAAAIBWBYUyAAAAAE2lsrJy3rx5RUVFzKK1tfWSJUtcXFzUmlEUJZFI7O3t7e3tvb29MzMzf/jhh6SkJIPnCwAAAAAAAAAAAAAA0MqhUAYAAACgSdA0vXLlSrZKxtHRcc2aNaampvXu+NJLL61Zs+bGjRvr169v4hyblkgkio2NNXYWAAAAAAAA0JpJX6SnfPdxn482tOvR39i5AAAAAEDLwDN2AgAAAACt07lz5+7fv8/EHTp0WLt2rTZVMqzBgwf/+OOP3bt3b5rsAAAAAAAAAFoFmqYVNYSmjZ0HAAAAALQYKJQBAAAA0D+5XP7DDz+wi0uXLhUKhQ3tRCKRDBkyRK95AQAAAAAAAAAAAAAAtGmYegkAAABA/65evSqTyZjYycmpT58+xs2HEJKXl3flypWUlJT79+9XVFSIRCJHR0cXF5dhw4Z16dKlER0qFIqkpKQrV67cu3fvxYsXNTU1Li4ua9asMXqGL168SEhIuH37dnp6en5+Po/Hs7W1dXBw6N+/v5ubW8eOHQ2ZjB7p5bzqRdN0RkbGnTt37t279+jRo8LCQoFA0K1btz59+ri7u7u6ujai5IvpNjk5+eLFi3fu3CkoKBCLxX379h08ePDIkSMlEon2/SgUioSEhGvXriUmJhYVFVlZWfXt23fYsGGvvvpqQxMzzPUEAAAAAAAAAAAAgOYGhTIAAAAA+nf06FE2njJlihEzIYSUlJT85z//SUpKUl0pk8lu3rx58+bNn376ycHBYdmyZRyVAc+fPw8KCmLisLCwAQMGpKamhoWFlZaWqjaTy+Wqi1KpNCAggIlDQkI8PT2bLkNGWVnZpk2bbt68qbY+MzMzMzPzwoULhBBnZ+fZs2dzlC7pKxk90st51auiouLMmTOHDx9Wu60ymSw1NTU1NfX48eMURc2dO3fs2LEURWnqp/anJTc3d/ny5bm5uap9xsfHx8fH79ixIzQ0dNSoUdpk+ODBg7CwsLKyMnZNfn5+fn7+lStXTE1Nly5dOmjQIG36Mcz1BAAAAAAAAAAAAIDmCYUyAAAAAHpWXV398OFDdrFfv35GTCYpKWn58uUKhYKjzePHj2fPnr1kyZLhw4fX2YCmadUebt68GRYWps3R2b2USmWTZkgIKSkpmTNnTmVlJXdKKSkpoaGhhw4dEovFTZeMHunlvLSxePHizMxM7jY0TW/fvv3q1avLly/n8eqexVXt0/Lw4cPQ0FCapjU1Xr9+fUVFxYQJE7gPffbs2S1btmjaWl1dvXLlytDQ0HrH+zHY9QQAAAAAAAAwFsHgN/g9XIydha54PZyNnQIAALRaKJQBAAAA0LOsrCw2trGxMTMzM1YmT58+/eKLL9jFgQMHzpw5097e3sTEpKamJisrKyIi4vr168zWb7/9dvXq1QMHDuTuMyEhISYmhhDSu3fv999/v3fv3mKxmKbpFy9eXLlyxYgZrlq1iq1+8PDw8PPz69q1q0QioShKqVSWl5czg4XExcUZIBk90v28GsTe3n7SpEnOzs42NjZMjYhCoSgqKoqPj9+/f79UKiWE3Lp1KyIiYsaMGfX2lpycHBUVRdO0k5PTzJkzHRwcmE9Lfn5+VFQUm/P333/v4eFhZWXF0Y9qlczrr78+ZcoUOzs7Ho8nlUofPny4a9eu9PT0DRs2+Pv7c6dk4OsJAAAAAAAAYHiCl0caOwUAAIBmDYUyAAAAAHqWnZ3Nxr169TJWGgqFYtWqVeziBx98MHnyZHbRxMSkR48eX3zxxenTp7dt28asXLNmzS+//CIUCjm6PXLkCCHkrbfe+uCDD9j5dyiKsrOzq7dGoekyzMrKYkfxeeedd6ZPn666lc/nW1paWlpa9u/fPzAwMDY2tkmT0SPdz0t77u7uS5cu7datm9p6gUBga2vr7e3t5eW1fPnylJQUQkhUVJSPj4+1tTV3nwcPHiSEzJw509/fX/XT0rFjx+Dg4O7du+/evZtZGR0d/eGHH9bZiUKhWLNmDbv45ZdfDhkyhF0Ui8UDBgz47rvvtmzZ8scff0RHR3PkY8jrCQAAAAAAAAAAAADNEwplAAAAAPQsLy+Pjbt3726sNP7444+CggImHjdunGrZh6qxY8c+f/48KiqKECKVSqOjowMCArh7HjhwoGqVTHPIMC0tjY2563XEYvG0adOaNBk90v28tBcYGMjdwNTUdMWKFbNmzaquriaEnDp1Sptz9/T0nDJlSp2bfHx8jh49yvx5iYuLCwwMrPNDdfbs2YqKCjZJ1SoZFo/Hmz9//tOnTx8/fsyRTFNcz8rKyps3b3K3kcvlhBCFQiGTybTps21iJmhTKpW4Sm2H6jRtNE3j1rcdNTU1TICb3naozWspl8s55uWEVqmmpkbTXJzQfLB/P3OgaaLr90CA1kip1MO/Zvl8vqY5jhtE98c1zRD+J9Js4da0Wbj1bVAT3XTmwamW2P/b6iUZFMoAAAAA6FlJSQkb1zvkRtP59ddf2fiDDz7gaDlt2rSYmBjmqWh0dPS0adO4H80EBQXp5bGLHjNka1xEIpGJiYlxk9Ej3c9LvyQSiZ+fHzNOjJaFMprGiSGEUBTl5+e3c+dOQohUKi0sLLSxsandjL01YrF40qRJHL0FBweHhoZyJNMU1zM3N/ezzz7jbsOMLFVdXV1aWqqXg7Zicrm8QV+PodWgaRp/QNoa3PS2jC2BhbYDN71FkP0zRSkHmtaiyg0/nEHbU1Mj1/0fNmKxmJkBWRetskqGgV/lmyfclzYLt74NaoqbrlQqG/Q/0Mp//r2KQhkAAACA5kj1V16BoJ5/bpWWls6aNYujwZo1a1xcXBqaQ35+Pjuwjaenp0Qi4WgsFArffPNNZk4lmUz29OlTBwcHTY07duzYtWvXhubT1Bmam5szgVQqraioMDMzM2IyeqTjeTUFNzc3plCmqKhIKpWKRCLuxuwp1MnZ2ZmN6yyUKSgoYKtb3nrrLT6fz9Fb7969LSwsOL5cNcPrCQAAAAAAAAAAAAAGhkIZAAAAAD1THalCm8Gr1caiV9O44uiMjAw2HjFiRL3thw4dylR+EEIePnzIUfkxcuTIRuRTm34z7NOnDxt/8803S5cu5S52adJk9EjH82oKlpaWbFxSUsJdKDN48GDteysuLq7d4OnTp2z8yiuvcPdGUdTo0aNjY2M1NWiG1xMAAAAAAABA7woPH6tK5ZqbuEWwGj/GbJCrsbMAAIDWCYUyAAAAAHpmYWHBxnX+9m8AWVlZbNylS5d629vZ2bFxeno6R8uXXnpJl8RY+s2wR48eXbt2ZfpMTEycPn36iBEjJkyY0KtXL20qIZruculIx/NqBJqmMzMzk5OT7969m5WVlZubW11drdpAqfzfWOulpaWdOnXi6E31QtVJKBSycZ0TumdnZ/8fe3ce1sS1/w/8zCSEALKJuyhuKGIFqUpFq1aqqBSlVdx+t2qrrVoV6yMutfa6UduqrbauVVt61bqxaMUFsVBxoSrggigoKioooIDsIQSS+f1xvp2byzIEEhKW9+vp0+eT5Mw5n5kJSCafOYeP27RpI9wb+WeRo+ro/3gCAAAAAAAA6F/xrbuFV64bOgttmfbphUIZAACoJyiUAQAAANCx1q1b87H6VCVVsrCwqDwBxh9//BEQEKBNDhkZGepD1NhefQ0a9aqRyqytrbVJjKfbDBmGWbduna+vb0lJCX3mypUrV65cIYTY2Ni4uroOHDiwd+/e1S21U3+HS0ta7ldtxcbG7tmz59WrVxq2r7K0RZ2xsbGWKamfGk1qWVq1aiXwan0cT1tbW356oeqsX7+eECKVSnX149MkyWSy0tJSiUSCJbGaj5KSErlcTmOWZdWnmIKmraysrKioiGEYKysrQ+cCelJeXl5YWMg/tLCwEF5OEZqS3NxcQoi5uXmNi9KCwRW3aFHjfR4sy9bcEaOLbAAaFSMjI+0/7jEMo9GPWLPEMAzD4JdLA8JxHJ0DG2/a5oM/6RROfbNC75ysj5POMEyt/gHl77rUyT8K+HwCAAAAoGPqU5KkpNRlnlvtvzkoKyvjY00uSav/mVthBpEKdHWBW+cZtmnT5rfffgsICDh//rz68zk5OWFhYWFhYYSQAQMGfPTRR507d67vZHRIm/2qlb17954+fVqrXOuBei2OJh/GaizN0fnxlEgkNbakP9Esy+JLQQH08y3DMDhKzUeFixo49c0Hv+gkTnrzoT4jHcG/ic0STnqjgG+8AOoMH2QAAADqoLb/gPKNUSgDAAAA0BB17NiRj7OysmQymf5XdTEyMuJj/usoAerfXmg/C4gm6iNDU1PThQsXzpo16/bt29HR0TExMRWqWOLi4uLi4iZMmDBz5kz1P6Yb+OGq835pLioqiq+SYVnWy8vLzc2tQ4cOZmZmYrFY/c6t9PT0efPmablHmlNfm0mlUtX4wUmTuiU9HE8AAAAAAAAAAAAAaLBQKAMAAACgY1KptFu3bvxcMomJiQMGDNBzDm3btuXjwsLCGpcyKS4u5mP1GXHqT/1laGpqOnjw4MGDB3Mcl5eXl5KScvny5YsXL/IVMMePH+/cubO7u7sektGhOuyXhpRK5Z49e2hsYWGxfft2gRkvNSkk0iH1UyOTyWpcmSUnJ0fDnuvveAIAAAAAAAAAAABAQ4bZFAEAAAB0z9vbm4+DgoL0n4CtrS0fp6en19j+5cuXfGxnZ1cvOf0vPWRIlzjt37//4sWLg4KCZs2axb+0d+9e9VlhGv7hUqf5fmkoPT2dL/1ZtGiR8Lqw6vuuB+rzM7169arG9nVY7EznxxMAAAAAAAAAAAAAGjIUygAAAADo3pAhQ8Ti/5u6LykpKTk5Wc8JdO7cmY+vXr1aY/uYmBg+7t69e73k9L/0nKFYLH7//fc9PDzoQ5lM9vr1a0Mlo0PC+6Wh58+f87GDg4Nw4xs3btS2f2106dKFj2/evFlj+wsXLmgznE6OJwAAAAAAAAAAAAA0ZCiUAQAAANA9iUQyZ84c/uGmTZsUCoU+E2jdunWrVq1ofP78eblcLtC4rKwsNDSUxhKJpFu3bvWen4EyHDx4MB8XFhYaNhkdqm6/NFRaWsrHIpFIuGV4eHht+9dGq1at+BluTpw4Ibzw06NHj/Lz87UfVMvjCQAAAAAAAAAAAAANGQplAAAAAOrF6NGje/ToQeNXr16tWbNGz7UyU6ZMoQHHcYcPHxZoeeLECb5Uwtvbm2X19Cei/jNUnx2kRYsWhk1GhwT2SxN8kRAhJDU1VaBlQEBAeXl5bfvXEn9qZDLZuXPnqmvGcdyuXbt0MqKWxxMAAAAAAAAAAAAAGjLDX9YHAAAAaJIYhlm/fr2FhQV9eO/evXnz5j18+LDGDUtLS+/evat9AiNHjuSn4vjjjz+qmwjk0qVLv//+O42NjY0nTZqk/dAa0mGGgYGBCQkJwtONlJSUHDx4kMZSqVS9OkS3yeiQ9vulCTs7Oz7esWNHlaUwHMcdO3YsLCystp1rz8PDw9TUlMZ79uy5detW5Ta0SubRo0fCXenneAIAAAAAgD5J23Z587vIFl37GjoRAAAAAGg0UCgDAAAAUF9atGixc+fOdu3a0YfZ2dl+fn4LFy6MiIhIS0srKSnhOI6+VFZWlp+fn5CQsHPnzsmTJ1+9elX70UUi0b///W/+4c6dOzds2PDs2TNaBqFUKp8/f/7DDz98//33fJsvvvhCKpVqP7T+M3z8+PGqVaumTJmyd+/e+Pj4169fl5WV0ZeUSmVubm5UVNScOXNyc3Ppk/PmzWMYpp6S0SHt90sT5ubmQ4YMoXFaWtqCBQvi4+P59adkMll8fLyfn9+hQ4cIIT4+PjrYsdoQi8UrV67kH65Zs2b37t2ZmZkqlYoQolAokpKS/Pz8aG2Tt7e3QFf6OZ4AAAAAAAAAAAAA0JCJDZ0AAAAAQFNmaWm5Y8eOn3/+OSIigj6Tmpq6bds2Tba1traeM2eOo6NjnUfv0aPHunXr1q1bR0sKrl+/fv369eoaL1mypH///nUeq250m6FCoTh9+vTp06eFBx09evSIESPqOxkd0nK/NOHr6xsfH19UVEQIycjIUK8ZUrdgwQJnZ+fg4OC6jVJnzs7On3322e7du+nDsLCwKue28fX17dKly8mTJ4V708PxBAAAAAAAAAAAAIAGCzPKAAAAANQviUSyaNGinTt3urm5abhJnz59NmzY8J///GfIkCFaTmjh4uLy22+/OTg4CLTp3Lnz3r1733nnHW0GqjN9Zmhubr5s2bL58+dXd1Qb/uGqUo37VSNTU9Pdu3f37NmzugZSqXTt2rWjR4+ua47aGjt27LfffmtmZlblq2KxeNWqVaNGjdLJWNofTwAAAAAAAAAAAABosDCjDAAAAIA+dOrUaeXKlSUlJcnJyXfu3ElOTs7IyMjJyVGpVCYmJh06dOjSpYutra29vX337t1NTU11OLS1tfWmTZtevXp15cqVxMTEpKSkoqIiU1PTXr16OTo6Dh482NbWVofDGSTD5cuXZ2VlpaamPn369MmTJxkZGVlZWSUlJSqVytLSsnPnzo6Oji4uLj179mTZGirFG9Th0uF+1cjS0nLz5s0PHz6Mioq6e/duWloaIaRNmzaOjo5ubm4uLi5GRka62Ke669Onz++//x4bG3vt2rVbt27l5eVZWVnZ29u//fbbgwYN0mQZLH0eTwAAAACARkYkErWoujD9v8RSoqrx4+p/y80lIsbcGN9BNBf86tLN8JYDlm12uwwAANDYMfzfLgAAAAAAAKBzc+fOvXHjxvz582fNmmXoXBquoqIiuVxubGxsbm5u6FxAT4qLi0tKSmjMsmzLli0Nmw/ojUKhKCgoYBjGxsbG0LmAnpSVleXn5/MPraysxGJ8cd5cZGdnE0IsLS0NXnUNemNmZiaTyWj81Vdf+fv7GzYf0JuCggKFQmFiYlLdVKCgT2mrvi28Uu1y0o1F+yXzrL3HGDoLqALHcfT7Zdxo1HzwJ53CqW9WVCoVaRgnvbi4ePjw4YSQwMDAbt26admb4fcHAAAAAAAAAAAAAAAAAAAAAEAPcPcGAAAAAADoj1wunzZtGo19fX3d3d0Nmw8AAAAAAAAAAAAANCsolAEAAACAZuHmzZvqk34vW7Zs8ODBBsynOVMqlTSg83YCAAAAAEB10r76VlVSSghJ6OKWlCMydDo1Ky/77x/555Kyco7dNmAyhtWtPStumW2QoW1NTdw7vtbzoOWick7KyRi2tLQRvFHrg0XyS1FBbt23b+/C2L6lbRJiY8I2wS/+yotKlIoyPQ8qkhqLTY31PCgAAOhNE/z3EgAAAACgspCQEL4+gxASGBiIQhkAAAAAAGjgim8mqIplhJAMI8e790sNnU7NVCqOj18UlKqe6rtco+FgTY3LmEyDDK1UWZcqn+t7VIYQhqgIKVfW3LZJUhVksK9S67w5Y96eqMq1TYKTaNtDg6QqVypL9V0owxrV/BXqli1bvvjiC0KIv7//ihUr6j+paq1du/abb74hhGzbtm3evHkVXm04eRocDgUA8FhDJwAAAAAAUO/y8/MTEhLUn0lJScnONsy9fU1MQUHBB//4+++/DZ0OAAAAAAAAAEC1zkX8aWXXvrr/Ojh0dx83dulXKyMu/FVWVkN1jkqlKisrKysrM/iMuUqlkmaifpMYr+HkaXDCh2Lt2rUSiUQikWzfvl3/uQGAnqFQBgAAAACavkuXLlV+MjIyUv+ZNEnKf3AcV3NrAAAAAAAAAAAD4TiurHr5BfnXb8TuDtjn6T3Oxsbm2LFjhs4X9IevN0JFEUBzgKWXAAAAAKCJ4zguMDCQxr1795ZKpbdu3SKEnDhxYtKkSSyL2nG9kkqloaGhhs4CAAAAAAAAAEBIYWHh1KlTnzx5QhfrAQCApgTfCgAAAABAE/fkyZP8/HwaT5w40dvbm8YymSw5OdlweQEAAAAAAEDdyV89u7VqdNHTu4ZOBAAaq9xn6cXp2fx/RS+y8p5l3I+9veGrtfyNVStXrkxMTKxy86VLl3Icx3HcypUr9Zh1rTWWPPUAhwIAeCiUAQAAAIAm7vTp03zcr18/Jycn/mLHyZMnDZQUAAAAAAAAaIfjOGU5wQqwAFBXLPM/35MyDGNkZNSpo+3i+Qtjr1zln//+++/1nhoAANQvLL0EAAAAAE2ZQqGIiIigsbu7u0QiIYSMHj06LCyMEBIdHS2TyUxNTevQs1KpTEhIiI6OTkxMfPXqVXl5uaOj44YNGyo3i42NjYmJuX37dl5enrW1dc+ePYcMGeLq6kqTqdvQ9+7du3XrVmJiYmpqanl5uY2NTd++ffv16zdw4MA6dMtx3N27dy9dunTnzp2cnBwTE5NevXoNHDhw6NChdTs49UH7JDmOS01NvXPnTmJi4uPHj1+/fi0Wi21tbe3t7fv37+/k5FTnMwIAAAAAAAAATUnfN97w8fEJDg4mhPzxxx8BAQGGzggAAHQJhTIAAAAA0JTFxsbysaenJw3GjBlDC2UIIdeuXXN3dxfu5OXLl/PmzaPx+vXr+/btm5ycvH79+oKCAvVmZWVlFTZMSEj45ptviouL+WeysrKysrKio6ONjY2//PJLFxeXhw8fLl++nL66a9eu9u3bC2TCcdy5c+cCAgJKS0vVn09PT09PTw8PDxeJRHPmzBkzZgzDMBruS2Zm5urVqzMzM/k2CoUiJiYmJiZm165dfn5+w4YNq7Kr+fPnZ2RkcGq3b27atImfrUddUFCQWPx/Hz3kcvm0adNo7OvrW+XB12GSVHFx8Z9//hkcHFzhlCkUiuTk5OTk5DNnzjAMM3/+fA8Pj+oOHQAAAAAAAAA0Hx4eHrRQJjc3V6VSVb7isWXLli+++IIQ4u/vv2LFCoGuOI6Li4sLCgq6ePFiUlKSSqVycHAYNmzY5MmTXV1dq7yWUkFJScnhw4ePHz/+999/K5XK3r17e3h4TJo0ycnJqcZtq8tz9uzZBw8eJIQsWbLku+++E+4kLi5u8ODBhBATE5Ps7GyRSFRls9zc3JCQkL/++is6OvrVq1cWFhaDBg0aNWrUlClTWrduLdD/nDlz/vOf/xBCDh48OGXKFEJIXl7e77//HhQUdOfOneLi4vfffz8wMFB9k+Tk5OPHj0dERCQmJubk5BgbG7dr187e3n7gwIEjRowYMGCAmZmZJoeC4zhjY2OidmVv8eLFy5Ytq7DtkydPOnbsOH/+/F9++YUQsmjRohqnGoqJiXn77bcJIRYWFi9fvqzuoAGAQaBQBgAAAACasqCgIBqYmpra29vTuEuXLhYWFrRmIjAwsMZCGY7jlEol/zAuLm79+vU1Dn3q1Kl9+/ZV92ppaemaNWuWLFnSsWNHvnNOcM5wmUy2evXq5ORkgTZKpXL37t2xsbGrVq2q8uN3hX159OiRn59fdeNyHPf9998XFxePHTu2yrHUu6rcuUCSNFCpVNWNq6skqeXLl6elpQlnxXHczp07r169unr1ak0uUQEAAAAAAABAE8bfSMOybJUXClQqFS2tqO76BpWcnDx27NiUlBT1J2/cuHHjxo2tW7d27tw5LCzM0dFRoIfIyEhPT0+FQsE/Q+8d+vrrrydMmHD06FHhHakuz7lz59KZcn766aevv/6av8epSrt376adLFq0SCwWV75KU1paumzZsu3bt6s/KZfLQ0NDQ0NDfX19V61atXbt2upGUSqV6nLfqMMAACAASURBVEkGBgZOmzZNPWH13S8oKJg4cSI/hzTfoLCw8OHDh2fPnl23bl27du0yMjI0PBSVb36r/Azd5YULF+7evZsQsm3btg0bNtAKm+p8//33tB8/Pz9UyQA0NCiUAQAAAIAmKzs7m78M4e3tzV/gYBhmwoQJ9D6V9PT0jIwM4Xlc1N24cePEiROEkB49enz00Uc9evQwMTHhOO7Vq1fR0dHqzdSrZMaOHevt7d22bVuWZUtLSx8/fvzrr78+evRoy5YtEydO1GTc0tLSzz///OXLl/Rh69atZ86c6eTkZGFhwTBMaWlpcnLyvn37nj17RgiJi4v74Ycf+IlqqnP37t2goCCO4xwcHGbMmNGtWze6L9nZ2UFBQeHh4bTZ7t273dzcrKysNDxEuqXDJO3s7MaNG9e7d28bGxsTExNCiFKpzM3NjYmJ2b9/v1wuJ4TcvHnz0KFD06dP18OuAQAAAAAAAECD9ddff9Fg0KBBde7k/Pnzo0ePFmiQmprap0+f0NDQcePGVdng0KFDH374YXWbHz9+fPDgwf369atDbgMGDKA3ksnl8r///ltgsl65XE4voxFCZs+eXblBTk7Om2++mZqaKjDchg0boqKiLly4YGRkJJxYUFAQnVRGHV+aU1ZW9tZbb92/f1+4k3ri6Ojo4OBw//79srKy8PDw8ePHV9cyPz+fv3+vyoMGAIaFGyUBAAAAoMmKjIzk4xEjRqi/NHz4cD7miy00cfz4cY7j3n///R9++MHJycnU1JRhGJZl27Vrx5e8lJWVbdy4kd/E39//s88+69Chg0gkYhhGKpX26dPnhx9+8PLyIoSEhIRoMu62bdv4KhlPT8+9e/cOGzbMysqKZVnap5OT008//eTh4UHbXLlyJSEhQbjPI0eOlJeXz5gxY+PGjW+88Qa/L23atFmwYMGnn37Kt6wyyT179oSGhh44cIB/ZtmyZaFVEb4nqV6TpPr3779r167t27d7eHh06tSJdsIwjFgsbt269XvvvXfw4MHevXvTxkFBQbm5uXVOGAAAAAAAAAAau+SHD48cOULjBQsW1K2TtLQ09SqZTZs2ZWRk0Al6MzIyNm/ezL80fvz4ClPOUI8fP+arZExNTffv35+Tk0OnRUlJSaHrVsfFxdHFgGqLZVk/Pz8aV5gJpoKIiAg6BUvnzp0dHBwqvKpQKFxdXWmVDMuya9asefjwoVwu5/PkR4mOjl66dKlwVpcuXaJrdn/99ddpaWnl5eUcx3Ecd/LkSdrgyJEjfJXM2rVrHzx4UFxcrFKpVCqVQqF4/fr17du3t23bpnnxEMMwdIgvv/ySPvPDDz9wldja2tJX161bRwPhCaePHTtGA09PzzZt2miYDADoDQplAAAAAKBpUqlUx48fp3GHDh3atWun/qqNjU23bt1ofPr0aU0WDOI5Ozt//PHH/Pw0lYWHh9PpSQghCxYscHZ2rtyGYZhPP/20T58+moz46NGjy5cv09jV1XXu3LlVztfKsuyCBQu6dOlCH/7444/CazkRQtzd3X18fKrcFy8vL3716PDw8Oq6Up98uJ5WLNI+yVmzZvGXM6pkbGy8Zs0afr7cc+fOaZcyAAAAAAAAADQ+SqXy5atXe/8T8KabK33GxcWl8uwmGvrkk09oIJFIEhMTly1b1q5dO7qQU7t27ZYuXZqYmCiRSGib6dOnV76swffQqlWrlJSUGTNmtGzZkt7507Vr1927d9e47pKwmTNn0iA4OLioqKi6ZnxNz4oVKypfn9m4cSOt8mnVqlVqauratWt79OhhbGzM5/n999/z0zBv27bt6dOnAin9/PPPhJCEhIRVq1bZ2tpWvgLGFzD9+uuva9as6dmzJ39DlJGRkbW1tbOzs6+vb1hYmGbH4L/461rCyyR5e3vTBjdu3KBTO1fGcZy/vz+NV61aVdtMAEAPsPQSAAAAADRNDx48KCkpobGPj0/lBhMnTqSf8xUKxd27d6ssZ6nSvHnzBKpkCCH8xKotWrQYOXJkdc0Yhpk7d+6iRYtqHPHw4cN8/PnnnwuMzjCMr68vvVMnKyvr+fPnnTp1EuhZYOpXukDVnj17CCFyufz169c2NjY1plof9JOkqanphAkT6NWWc+fO0buXavT06dOPPvpIuA0t0pLJZDk5OXXLrTmgVwNLS0vVFx2Hpk39ErBKpcIPSHPDcRxOerOVn59v6BRA3woKCgydQiPG/4tZXl5u2EygtsrLDHbKypV4txiASlWLO3CggWjZtaP6PT9KpZLOm8Lz9fXduHEjwzAVnqf4X9Ecx1Vu8OzZs/Pnz9P4wIEDvXr1qtymV69eBw4cmDp1KiHk77//fvDgQc+ePflXnz59GhUVRePjx4+3bt26cg+TJk06d+4cvy5SlZkI5NmpUydHR8fExERCyKlTp6osCcrOzr506RKNJ06cqN6DSqUqKipavXo1fRgREdG+ffsqj9WgQYPWrFlD52L55ZdfKs/Fov4Jcffu3Y6OjlX2Qwh58uQJDUaOHFldm+oInzLhV3lGRkaLFi3aunUrIWTv3r18QYy627dvP3/+nBDSpk0bV1fX2ubZ8DW9PYIa1cdJV6lUtfp4KJPJdJgMZpQBAAAAgKYpNDSUj6tcTHrgwIF8zM89U6M2bdp07NhRoEF2dja/cM8HH3wgfA9Kly5daizsKCkpiYuLo/Hw4cPNzc2F2/fo0cPExITGV69eFWjp4uIi3Bu/GhEh5PXr18Lj1hN9Juni4kKD3Nxcfk4gYfSSkDD16yxQHf6QGjoR0J8KP02GTgf0Cie9GcLPe7OFk6692v9VC0AI3jgAmlEqlWVq1L95NTM1++233zZv3szPPltbp06dooG1tTW/WndlEydO5C8NVbg8debMGRr06tVryJAh1fXArwRUNytWrKDBpk2bqmzAL3U9bNgwflpfHl8MNGzYsL59+woMxC+fTe93qg7LstOnTxdoYG9vT4O//vpLoFm94lfj2rJlS5WVrNu2baPB6tWr62kCZoCmwYB/G+MnEwAAAACaIJlMxs/p6uLi0qJFi8ptpFIpf5Xh1q1bhYWFmvQ8dOhQ4Qbq88fyhRe66rDGxoQQhmH4CxP8ms1VUi8VqpKlpSUf5+Xl1Th0fdBnkupd4WZ3AAAAAAAAgGarWFb88ccft2vXrs6rM1+4cIEGM2fOFCiVYFn2448/pnFkZKT6SxERETSYNWuWwEC2trbt27evW5KEkPHjx9Pg9u3bL168qNxg48aNNFi2bFnlV8+ePUuD//f//p/wQG3btqVBdnZ2aWlpdc28vLz45aiqxB+ujz/+eNmyZXfu3KnViuo60bVr1wEDBhBC5HI5f6J5xcXF+/fvp3GNhwUADAWFMgAAAADQBF27do2Pvb29q2vm5eXFx5cvX9akZ+GVjAgh6tcUKt9nU1m3bt2EG9CZWqnOnTvX2CFRS/LBgwcCzeiSQALUL0wYakEcHSbJcVxqaurZs2c3b968ePHiqVOnfvC/5s2bxzfGAgEAAAAAAAAATVvus/Ti9Gz1/wqfv3r58Nmls3+Oe8+LEJKXl/fee+/t2LGjDp3z0wO/9dZbwi1dXV1pEBsbq/78zZs3adCvXz/hHgTmm6mRhYXFuHHjaHz06NEKryYnJz979owQwrLsu+++W3nz69ev02Dx4sXW1tbW1tZWVlYWFhYWFhbm5uZmZmZmZmYmJiZSqVQqlfJbCVx1qfFwjR8/ftSoUTTesmWLi4uLRCJ55513vv3226tXrwqU4OjW2rVrabBhw4YKL504cYIG//rXv9RvygKABkVs6AQAAAAAAHTv2LFjNGBZ1snJqbpmDg4OEomEVlcEBwePHTuWYRjhnq2trYUbvHz5ko9NTU1rTLXGpZfS0tL4eNGiRfQmJDrPJD/hJP2/SqWiAX8nTWFhIcdx1e1UnWcP1iddJRkbG7tnz55Xr15p2F7DwiArK6tPPvlEuA1dAMvIyEiT90OzpVAoysvLxWKx8H1j0JTQk05jhmH4NeOgyVMqlaWlpTjpzYpKpVJf01AqlWL++eZDJpMRnHQdYVmWEH3fMQ/aYEWsoU4YfuIMosbrCdAAsUzFHxaWZVuYmfXv5xJ8+NiPP++gyxJ9/vnnY8aM4Vf8qVLlNwB/41P79u2F3x4dOnSgAb2Mw/8I8z20adNGuAf1u7CEW1b56uLFi+lCUZs2bfLz81Nvw8+MMnv2bPVKF3oBimEYfjJjuVyu4TLWhBClUlkhE/5hx44dhXdBJBKFhYXt379/+fLlOTk59MnLly/zt8DNmjVr7dq1tra2wjlUHkX9mRp/okeNGmVqaiqTyS5fvpyZmak+qY+/vz8Nli1b1pR+M6ivetOU9gtqxP+867xnlmUNeL0UhTIAAAAA0NS8ePEiIyODxqNHjxaLq/2jVyQSeXl50RWgs7OzU1NT7ezshDsX6I1SL7DQ5OpkjYUgJSUlfKz5FQdQt3fv3tOnT9dHzy1btlSfh6ZKt27dIiiUqYlKpSovLxeJRDhKzQfHceqFMjj1zYdCoaB3eeKkNx9lZWUVCmVq/IMKmgxaKGNsbGxkZGToXBorhmHot1IofWh0WBaFMs0LU6nkAho1hiFLly7dunVrZmYmIcTf3//gwYOV2jB8IPAVsvCrpFJ9RpUFHBp+RV3d5sL9DBs2jN5Ilp2dfffuXf6WM6VSuW3bNhp/9tln/LZ8wQTDMCqVSpPENMmTkkgkNe6sSCSaNWvWRx99dP/+/b/++issLCw8PJy/bSwgICAgIODXX3+tvGSVrk4ZzXP58uV0Xpn9+/evXLmSPp+UlPTo0SNCSLdu3ZycnJpMQYl6lQxBoUwzU3+FMrW9HMS/D3Xypw4+lAIAAABAU/Pnn3/ycVhY2Pnz5wUaq3+eP3v27Geffabl6OrfAahUKpFIJNy+xplL8E2SlqKiovgqGZZlvby83NzcOnToYGZmJhaL1a99pKen11j1AgAAAAAAAADNAcuyU6dO/fHHHwkhR44cOXDgQK2+J+7YsSNdnpuW2gjgb/cyMzNT//aX7yErK0u4h6dPn2qeWGVisXjhwoVbtmwhhOzZs2fnzp30+atXr9KaVxsbG2dn5yq3bd++Pc0/MjLS3d1dmzRqi2VZR0dHR0fHhQsXqlSqlJSUoKCgzZs35+bmEkJmz549YMAAgXmmtffpp5/SQpnvvvtu+fLl9Bogv1CXv78/qkkAGjJccwcAAACAJkWpVIaGhlZ4RsNtw8PDP/nkEy3vdm3bti0fl5SU1NgbP0msJh0eOXLEzMxMm/SaG6VSuWfPHhpbWFhs375dYPEszd8qAAAAAAAAANDk8cv3KJVKmUxWq2syAwYMoGUucXFxkydPFmgZGxtLA1dXV/Xn+/fvT3uIj48fOXKkQA/R0dGaJ1alTz75hC+U2bp1K10Wefv27fTVZcuWVTd/w9ChQwMDAwkhMTExei6UUceybI8ePVauXLlkyZJhw4bFxMQQQr777rvDhw/X36AdOnQYMWLEhQsXCgoKrly5Mnz4cLlc/vPPP9N8Pvjgg/obGgC0h4ngAAAAAKBJSUhI4NfyqC2VSkVXydFGx44d+bjGO36IBjf9dO3atVYdgrr09PTi4mIaL1q0SKBKhhDy8uVLvSQFAAAAAAAAAI3A8+fP+bi2K32MGDGCBr/99pvA+kQqleq3336j8bvvvqv+Ev8wICBAYKD09HRaT6MNBwcHWhWkVCqjoqIIIcXFxbQChhDy4YcfVrehh4cHDXbu3Fm3ZZh0y9jY+JtvvqHxuXPnarUtPwGM5ndSrV69mgbfffcdIeTUqVP0ICxcuNDExKRWowOAnmFGGQAAAABoUkJCQvj46NGjmqxyqlQqfXx86Gfg4ODgCrfv1JadnR0f3759u3v37sLtL126JNygS5cufHzjxg31hw1NheWKGwL1S1oODg7CjW/cuFHP6QAAAAAAAABA46BSqY4ePUpjKyur2tY9eHt7L168mBCSnZ19+vTp8ePHV9ns9OnTr169orGPj4/6S15eXp9//jkhJDEx8fr162+99VaVPaxbt65WiVWJYZgvvvhi4cKFhJAtW7Z4eHicOXOGvtSvXz/1u8IqmDhx4ieffEIIef78+ZEjR/71r39pn4yWzM3NacDfOqUhS0tLGtQ4/TNv6NChVlZWeXl5586dy8rK8vf3p88vWrSoVkMDgP5hRhkAAAAAaDoKCgri4+NpPGDAAE2qZAghIpGIv/3l/v37dCXjOmvdujX/gfzEiRPCN9OkpaXVOEmMpaVl7969aRwYGFjn+XLqifoNVQ0tN0JIaWkpH9O1ogVahoeH139GAAAAAAAAANAIbN26NTMzk8YfffRRbTfv0qULP6nMtGnTUlJSKrdJSUmZNm0ajd96662ePXuqv9qtW7chQ4bQ+P3336+yeiM0NHTv3r21za1K/PpQ4eHhr1+/plOkEEK++OILga2srKz8/Pxo/OGHH0ZERAg0Li8vP3Xq1MWLF+ucpEqlWrRokcAMOhzH/fTTTzTmj7+GOnfuTIMLFy5ouIlIJPrqq69oPHny5ISEBEKIi4tLjTfOAYDBoVAGAAAAAJqOy5cv87Gnp6fmG6qv9Kz5h+EqMQwzadIkGhcUFAh8+Oc4TsNrGTNmzKBBSUnJvn37tElP56RSKR83wJWhWrVqxcepqakCLQMCAhpgoQ8AAAAAAAAA6FOJXH7n3t1pM6cvXbqUPsOy7IoVK+rQFb+mkkwm69mz544dO3JycjiO4zguJydn586dPXv2lMlktM2BAwf4pX94v/zyCw0yMzO7du167NixgoICQgjHcc+fP1+yZIm3t3cdEqtS69athw4dSuPPPvuMX53cy8tLeMNvvvmGXzd81KhR77333uXLlwsKCujEwyqVKi8v78aNG+vWrbOxsRk/fryWt6ht377d1tZ25MiRISEhaWlp/C1SJSUld+7cmThx4uHDh+kzdEYfzfXv358GV69ePXbsGH9qhPFFVHTJKkLI+vXrazUuABgECmUAAAAAoIngOI5fO5kQ4uTkpPm23bt3NzY2pnFISIiWSwh5enpKJBIab926NSkpqXIbjuMOHDjAz38jrE+fPm+//TaNw8LCAgICalwsOTs7++DBg7WdY7YOxGKxmZkZjWNjY+t7uNpSXwlrx44dVZbCcBx37NixsLAwPeYFAAAAAAAAAAbWsmtHK7v2/H8WndqadWjVqput26h3Qk4c55udOXOmXbt2dejfzs7u1KlTNFYqlb6+vq1atWJZlmXZVq1aLVy4kL+8ExgYWGE6GcrBwWHPnj00LiwsnDp1qqWlJcMwLMt26tRp69athBAnJ6c6THhTpWXLlvH50GDy5Mn8ZZ/qSCSSuLg4e3t7+vDs2bPDhg2ztLRkWZZhGJFIZG1tPWDAgLVr19IqH52IjIz08fHp3LmzVCplGIZhGFNTU2dn5xMnTtAGU6dOHT16dK367Nq1K79s99SpU83MzBiGkfyjumlsbGxs1MuVpFJpbccFAINAoQwAAAAANBHPnj3jb0kZMmQIX6qiCZZl+Q+xhYWFjx490iYTiUTCzzpLCFmxYkVAQMCrV6/oMkwKhSI5OfnLL78MCQkhhGh468/nn3/evn17Gv/xxx/Tp08/c+ZMZmamQqGgT6pUquLi4mfPnp07d27x4sWzZs0KCgoSXvhJV9zd3Wlw//79U6dOFRYWallppEPm5ub8NMVpaWkLFiyIj4+Xy+X0GZlMFh8f7+fnd+jQIVJpLXAAAAAAAGjIpG27vPldZIuufQ2dCAA0VkqlskxN5buS+vbte/v27TFjxtR5CC8vr3v37vFr+lTWsWPH+Ph4fnLiyubMmXPmzJnqlpMePXp0TEyMra1tnTNUN2rUKPUltgkhixYt0mTDli1b3rt3j1+tqTpdu3Y9fPhwjVPUCGBZ9tGjR7NmzRJutnbt2kOHDlWeoUcYwzChoaEVCoP4t4fAxa4vv/ySj1esWGFkZFSrcQHAIMSGTgAAAAAAQDfOnDnDx3W4hOHu7h4aGkrjU6dOLVmyRJtk3NzcZsyYceDAAfrwjz/++OOPPyo38/X1tbOzO3nyJH0o8AHe2Nj4p59+8vf3p6sdFxUV8XcUGdz777/P3yC1b98+ujgUvW2IPhkUFCQWG+yjh6+vb3x8fFFRESEkIyPj3//+d5XNFixY4OzsHBwcrN/sAAAAAAAAAKChMDIyat+2naODg7u7u+f4cY6OjrUttqjM0dHxyZMn169fDwwMvHjxYlJSkkql6tWr1/DhwydPnjxkyJAKtSmVeXp65ufnHzx48MSJE1euXCkvL+/Tp8/IkSN9fHxcXV21TE+dVCr96KOPAgIC6EMzM7NBgwZpuK2RkdGKFSsWLVoUERERFhZ27dq1pKQkhUJha2vbr1+/oUOHjh07VifHs3v37r/++uuPP/4YERFx9uzZq1ev3r9/n2XZ7t27u7i4jBs3zsvLy9zcvG6d29vbZ2VlBQYGnjhx4vbt22lpaZrchPbmm2/y8Zw5c+o2NADoGQplAAAAAKApUCgU58+fpzHDMI6OjrXtoWvXriYmJiUlJYSQqKio+fPnS6VSbVLy8fHp2rXrxo0b+flL1IlEohUrVgwaNOj+/fv8k8LVJFKp9Ouvv46Njd2+fXt+fr5AS4ZhRo0aNW7cuDpfF6iV1q1br1ixYtOmTer31uhnMhtNmJqa7t6929/fPzk5ucoGUqn0iy++ePPNNzMzM/WcGwAAAAAAAADo09hRHsXp2TU2M2phYmRuKtxm6dKlS5cu1WRQlmXd3Nzc3Nw0SrEqZmZm8+bNmzdvXpWv+vv7+/v7V7et5nkSQn799ddff/21LikSQggxMTEZN27cuHHjarthbcc1Nzf/4IMPPvjgg1qNosmhMDExmTlz5syZMzXv9vbt2zQYMWJEhw4dapUSABgKCmUAAAAAoCm4efMmX6Xxzjvv1GGOU4ZhPD096XJIhJDY2NihQ4dqmVX//v0PHz587dq1mJiY+Pj4vLw8Kysre3v7IUOGuLm50UIc9ZKXGld9ZhjG1dX1wIEDqampsbGxDx8+TE5OzsvLI4S0adOmU6dO3bt3d3Jy6tmzp55neR0yZMjRo0evXbsWGxv79OnTzMzM8vJyfSYgzNLScvPmzQ8fPoyKirp7925aWhohpE2bNo6Ojm5ubi4uLpgUFwAAAAAAAAAA6mDNmjU0WL16tWEzAQDNMQILqgEAAAAAQH0LCQnZv38/jU+ePKn9DLTQ0MydO/fGjRvz58+vcQnt5qyoqEgulxsbG+tnGiRoCIqLi+kkXoQQlmVbtmxp2HxAbxQKRUFBAcMwNjY2hs4F9KSsrEy9MtjKysqAazKCnmVnZxNCLC0tUZdcZ0XXb3JKJSEkR9IylzM2dDo1Gzysp1z+f//Ez1jgN3vxF4bNx4CkEk7aQmGQoU1FjG2LMj0PKpPJysvLJRKJlpOzNl6S10WMUovDbtqaadFG2yQYEWFYQkjaqm8Lr1zXtjdDa79knrX3GEKIqqycU+p72lpGLGLFIj0P2lhwHEe/X65x0ajm4MqVK/ReO2tr6+zs7KZ6TPiTTjXV3YQq0YnDG8JJLy4uHj58OCEkMDCwW7duWvaGD6UAAAAAAIZ0+fJlGnTp0gVVMgAAAAAAoK7FW2/SwJyQLgbNREMs+98PNZ2tTYb1aGXAZECfFFyBSqkwIiZSUQ1TpTZZrQ2dQNPFGokJ6i2h4SkvL4+Li+PXmdq1a1dDqCQAAA2hUAYAAAAAwGCys7NTUlJoPGrUKMMmAwAAAAAAAAAAAAIKCwstLCwqPGlnZzdp0iSD5AMAdYNCGQAAAAAAw+A4bteuXfzDgQMHarihXC6fNm0ajX19fd3d3Ss0ePny5bx582i8fv36vn37ap1sw1Xj0QAAAAAA0IYsIaks46Whs9DIa1ubl61aEEIYjsnONszyN0q1dRmep+ZHR6UYJA3tte/EtLfT9+pFWpIUytnCIkONLi4pIeXlIomEM24Ea4SpK8ljMuINdtx4lg6drN/oqmUnrMSIETXBCS1UinK6CF0zxIhFrBG+zG3opFJpVFSUSIS1ugAaE/xuBQAAAADQPY7jAgICJk+ebG5uXvnVmzdv+vv7q1QqfnFfNze3du3aad6/8p8rRHSN2MqjK5vTJSThowEAAAAAoI3c0HP55y8aOguNJPr6/NmWJYRYGEn/umhlkBzKlP8tlLkd82JvfrRB0tDeGJ/W77R/Zugsascyh5UmXDXU6HxlFifUqiEqU3S9NDPK0FmQ3r4fOH0xTctOJFYtxCaNrFBJE+UyeXlJqaGzMAyxqVRiiS9zG64ePXpMmTLFz8/P2tra0LkAQO3gdysAAAAAQL04efLkyZMn33333XfffdfOzq5FixYMwyiVyoKCgl9//bVCIQs/AQwAAAAAAAAAAAA0TObm5hzX6GoCAaAiFMoAAAAAANSjyMjIyMjIGps1qwlgAAAAAAAAAAAAAAAMpQkuVQgAAAAA0OhoUkwDAAAAAAAAAAAAAABawowyAAAAAAC6xzDMsWPHnjx5kpSU9OjRo+fPn79+/bqwsFAsFqtUKpVKRQixt7dv0aLFrVu3CCEnTpyYNGkSy6KQvdakUmloaKihswAAAAAAAH3LL3xxKuorj8Er29j0NHQuAAAAANCYoFAGAAAAAKBemJiYODo6Ojo6qj+ZkpKyePFiGk+ZMkUsFtNCGZlMlpyc7ODgYIBEAQAAAAAAGiGOEJVKSQhn6EQAAAAAoJFBoQwAAAAAgP6cPn2aj/v168eyLMuydIKZkydPolAGAAAAAAAAAAAAAKBeoVAGAAAAAEBPFApFREQEjd3d3SUSCSFk9OjRYWFhhJDo6GiZTGZqalpPo5eVlcXExERHRz948CA3N9fKysrZ2fmtt94aOHCgSCTSsBOO41JTU+/cuZOYmPj41imxhQAAIABJREFU8ePXr1+LxWJbW1t7e/v+/fs7OTnRnaotjuPu3r176dKlO3fu5OTkmJiY9OrVa+DAgUOHDtXhAamn5AEAAAAAAAAAAACgEUGhDAAAAACAnsTGxvKxp6cnDcaMGUMLZQgh165dc3d3r4+hExISvv7665KSEv6Z7OzsyMjIyMhIMzOzVatWvfHGG8I9FBcX//nnn8HBwQUFBerPKxSK5OTk5OTkM2fOMAwzf/58Dw8PhmGq6+fly5fz5s2j8fr16/v27ZuZmbl69erMzEz1PmNiYmJiYnbt2uXn5zds2DCBxORy+bRp02js6+tb5QHUVfIAAAAAAAAAAAAA0Nixhk4AAAAAAKC5CAoKooGpqam9vT2Nu3TpYmFhQePAwMD6GDcmJmbVqlXqVTLqiouLv/zyy7Nnzwp3snz58oCAgAqFJhVwHLdz585169bRxaSqa6P8ByHk0aNHc+fOVa+SqdD4+++/5wuJqsN3WN24ukoeAAAAAAAAAAAAABo7zCgDAAAAAKAP2dnZKSkpNPb29uanLWEYZsKECf/5z38IIenp6RkZGe3bt9fhuDdu3Dh+/DghxNbWdu7cuT179pRKpSqVKjMzMyQkhF8K6ueff27fvr2Li4twb3Z2duPGjevdu7eNjY2JiQkhRKlU5ubmxsTE7N+/Xy6XE0Ju3rx56NCh6dOn15jb3bt3g4KCOI5zcHCYMWNGt27dTExMOI7Lzs4OCgoKDw+nzXbv3u3m5mZlZaXNcdB58gAAAAAAAAAAAADQGGFGGQAAAAAAfYiMjOTjESNGqL80fPhwPuarQ3SFVskMHTp0+/btzs7OJiYmDMOIRKKOHTsuWrRo9erVfMtvv/22rKysun769++/a9eu7du3e3h4dOrUydTUlGEYhmHEYnHr1q3fe++9gwcP9u7dmzYOCgrKzc2tMbcjR46Ul5fPmDFj48aNb7zxBu2TZdk2bdosWLDg008/5VuGhITU/RDUT/IAAAAAAAAAAAAA0BhhRhkAAAAAgHqnUqlowQohpEOHDu3atVN/1cbGplu3bnS+mdOnT0+fPl0kEulwdFtbWz8/P5atokp+wIABc+bM2bt3LyFELpefPXvW29u7yk5mzZolPIqxsfGaNWtmzpxZWlpKCDl37ty0adNqzM3d3d3Hx6fKl7y8vP7444+srCxCSHh4+KxZs/hpeGqrnpInhOTk5AQEBAi3oYteKRSK4uJizfJtjsrLy+n/cZSaD/XKPI7jcOqbD7r0HiEEJ735qLCsYUlJSZV/lkATJpfLFQqFobOoO/qHSqOgUqnozbEcxxk6l0aP/werEVEpsYxsXahUje9cQ7PSkH+lN+TcoF7h1DdD9XHSOY6jF041JJPJaFDhM2bdoFAGAAAAAKDePXjwgP+jv8q6kIkTJ27evJkQolAo7t696+zsrMPRFyxYIPB11NixY3///Xf6MePYsWPjx4+vcz2KqanphAkTjhw5QjSuNZk9e3Z1L9FFqfbs2UMIkcvlr1+/trGxqVtimqhD8oSQ/Pz8Y8eOCbfp3r07IaS8vLxWH/yaJ6VSiaPUPNX2ygg0ATjpzRktS4VmpbGf9EZUMKFSKek1f3x9pT2dfAGjZyqu8eXcEDTGcw3NCMc15F/pDTk3qFc49c1QfZx0lUpVqysDur2MgEIZAAAAAIB6FxoayseDBg2q3GDgwIF8fPz4cR0WykilUkdHR4EGIpFowoQJv//+OyGkqKgoMzOzffv2dR7OxcWF1prk5ubK5XKpVCrc2NzcXKABvxwSIaS+C2VILZMHAAAAAAAAaJgsPd4xcexp6Cy01QR2AQAAGiwUygAAAAAA1C+ZTBYdHU1jFxeXFi1aVG4jlUqHDBlCm926dauwsFC4gkRzb7/9do0zxLz55pu0UIYQkpKSok2hjKWlJR/n5+cL15qolwfV2FteXl6ds9JQrZIHAAAAAAAAaJgshrsZOgUAAIAGDYUyAAAAAAD169q1a3zs7e1dXTMvLy++nuby5cuenp46Gd3e3r7GNm3btuXj58+fC7TkOC4tLe3u3bv37t178eJFZmZmhYn01eesLigoUO+5snbt2gknJpFI+FihUAg3rpFuk6fEYnGNdUV03SuGYQQWwALun9mkcZSaD+5/pxDHqW8+8PPePKn/I4tT36zQU88wTJ0X92wIGlXyTKUA6ghHEAAAAKC+1erjoW4/S6JQBgAAAACgfh07dowGLMs6OTlV18zBwUEikdBykODg4LFjx+rkinzr1q1rbGNiYsLHGRkZ1TWLjY3ds2fPq1evNBy6xtIWY2NjDbvSns6Tpzp37nzq1CnhNnPnziWEmJiYtGzZUsPRm6GioiK5XG5sbKyruZSg4SsuLubXlmZZFj8gzYdCoSgoKGAYBie9+SgrK8vPz+cfWlhYiMW4JtlcZGdnE0IsLCyMjIwMnUvdlUgkJYbOQUP8DxfLosxDW+JG+KbFb9e6EYsb37mulkqlVJQZOol6oFZh3+w0yLtuUPveDOFel+aM1r7Xx0mv7eUg/mKyTpLBn00AAAAAAPXoxYsXfOnJ6NGjBS5cikQiLy+v48ePE0Kys7NTU1Pt7Oy0T0B9UhaBofm4wiQrvL17954+fVr7fAyiUScPAAAAAAAAoBGWFUmaUN3PP5Syqq9UAAAA1BkKZQAAAAAA6tGff/7Jx2FhYefPnxdorL4qwdmzZz/77DPtE9BkZhT1cassrImKiuILTViW9fLycnNz69Chg5mZmVgsVp9LPz09fd68edqnrUONOnkAAAAAAAAAAAAA0C0UygAAAAAA1BelUhkaGlrhGQ23DQ8P/+STT7Sfo55Ody9MJpPxcfv27Su8qlQq9+zZQ2MLC4vt27dbW1tX15XmO6gfjTp5AAAAAAAAgDpI/Ol4zq2Hhs5CWz1meLR3dzF0FgAA0DShUAYAAAAAoL4kJCSUl5fXbVuVSnXr1i1XV1ctc3j06FGNbbKysvjY1ta2wqvp6enFxcU0XrRokUChCSHk5cuXtc+xHjXq5AEAAAAAAADqICPqdurJaENnoa3WgxxRKAMAAPUEhTIAAAAAAPUlJCSEj48ePWpqalrjJkql0sfHh05tEhwcrH2hzOXLlxcsWMCvLlSlmzdv8nHXrl0rvPr8+XM+dnBwEB7uxo0btc+xHjXq5AEAAAAAAAAAAABA51hDJwAAAAAA0DQVFBTEx8fTeMCAAZpUyRBCRCKRh4cHje/fv5+bm6tlGiUlJQ8ePBBooFQqjx8/TmMzM7MOHTpUaFBaWqqenkBXpaWl4eHhdc20XjTq5AEAAAAAAAAAAABA51AoAwAAAABQLy5fvszHnp6emm84cuRIPr5w4YL2mezcuVOlUlX3akRERFFREY0nTZpUee6ZVq1a8XFqaqrAQAEBAXVeaqqeNOrkAQAAAAAAAAAAAEDnUCgDAAAAAKB7HMcFBgbyD52cnDTftnv37sbGxjQOCQnhOE7LZJ49e7Z9+/Yqa2Xi4+N37txJY2NjYy8vr8pt7Ozs+HjHjh1VVpNwHHfs2LGwsDAtU9W5Rp08AAAAAAAIsDLvOMP7QBubXoZOBAAAAAAaGRTKAAAAAADo3rNnz/hVk4YMGSKRSDTflmXZ0aNH07iwsPDRo0faZDJu3DhCSGRk5JIlS+7du6dQKAghKpXq1atXe/fu/fe//823XL58eZV5mpubDxkyhMZpaWkLFiyIj4+Xy+X0GZlMFh8f7+fnd+jQIUKIj4+PNtnqXKNOHgAAAAAAAAAAAAB0TmzoBAAAAAAAmqAzZ87w8ZgxY2q7ubu7e2hoKI1PnTq1ZMmSOmcyaNCg3r17b9q0KSUlZeXKldU1mz179sCBA6t71dfXNz4+nq7QlJGRoV5eo27BggXOzs7BwcF1zrY+NOrkAQAAAAAAAAAAAEC3MKMMAAAAAICOKRSK8+fP05hhGEdHx9r20LVrVxMTExpHRUXxM6DUzdtvv7127drqZrUxMTHx9/f39vYW6MHU1HT37t09e/asroFUKl27di0/EU6D0qiTBwAAAAAAAAAAAADdwowyAAAAAAA6dvPmTY7jaPzOO+8YGRnVtgeGYTw9PUNCQujD2NjYoUOHapPSm2++eejQoevXr0dHR9+/fz8vL8/CwsLFxeWtt94aNGiQSCSqsQdLS8vNmzc/fPgwKirq7t27aWlphJA2bdo4Ojq6ubm5uLjUYTf1plEnDwAAAACGZdK7J6coM3QWGmnfstWbrVoQQoyImO3VwiA5JDCMis/H1mLgYDuDpKE9205SqQYflBoUkbSU6TjAUKOXlZWpVCqRSCQWN7IvnrjXLbr4DDN0FsSmX3ex1FjLTtjG9qbVEGskFnOGTsJAWKNG9gMFANBYMPwVfAAAAAAAANC5uXPn3rhxY/78+bNmzTJ0Lg1XUVGRXC43NjY2Nzc3dC6gJ8XFxSUlJTRmWbZly5aGzQf0RqFQFBQUMAxjY2Nj6FxAT8rKyvLz8/mHVlZWje47VKiz7OxsQoilpSXqkpsPMzMzmUxG46+++srf39+w+YDeFBQUKBQKExMTMzMzQ+cCJPKD1aknow2dhbbcdi12mDfO0FlAFTiOo98vsyyWLmku+JNO4dQ3KyqVijSMk15cXDx8+HBCSGBgYLdu3bTszfD7AwAAAAAAAAAAAAAAAAAAAACgByiUAQAAAAAAAAAAAAAAAAAAAIBmAdOcAgAAAADU2rRp0+RyufozAQEB1tbWGm6+atWqxMRE9Wc2bdpkb2+vs/wAAAAAAKAx4MrKkkZOqvDkzg1TyzmVbgdiX3eOua/QbZ9Vkpf/N3M5ic+Q7alxk9aXEtmSwvpMCvShxT+Bjt+7zQbTfSTT8z1tezEyJaImuNSdIq+ovKSUfyi1sWQl+H4TAAC0ghllAAAAAABqTVnJxYsXNdw2Ly8vISGhwub1mi0AAAAAAAAAAAAAAFAolAEAAAAA0IHg4GCO4zRpGRUVVc+5NCYFBQUf/OPvv/+up00AAAAAAAAAAAAAACgUygAAAAAA1B3LsgzDEEIKCgpSUlJqbM9xXHBwMI0lEkn9JtdI8NPqaFhpVLdNAAAAAAAAAAAAAAAICmUAAAAAALRhamrq4eFB4zNnztTY/vHjxwUFBYQQlmU9PT3rNzkAAAAAAAAAAAAAAPhfKJQBAAAAANAKX+8SERGhUCiEG/PFNKNHj27btm39ZgYAAAAAANAUJablSSftv5L00tCJAAAAAECjhEIZAAAAAACtdOnSxdramsZxcXECLUtLSyMjI2k8duzYes8MAAAAAACgKeIIKVOqsBArADRVW7ZskUgkEolk48aNhs6lgcIhgjrQ4dsG78AmQGzoBAAAAAAAGjeGYXx8fPbt20cICQ4OHjx4cHUt+TIaa2trOzu7e/fuaT4Kx3Gpqal37txJTEx8/Pjx69evxWKxra2tvb19//79nZycJBKJljtSZ1lZWdHR0UlJSffv3y8uLpZKpT179nR0dBw8eHCHDh0MlVV1lErlvXv3bt26lZiYmJqaWl5ebmNj07dv3379+g0cONCAhxEAAAAAAAAADMLFxYW/SnPw4MEpU6bofIi1a9d+8803hJAffvjB19dXuLFKpSorK6OBzjNpGnCIDKtW7+eGo8a3jeb7hXdgE4BCGQAAAAAAbQ0bNowWyjx69CgnJ8fGxqbKZkFBQTSYNGkSwzAadl5cXPznn38GBwcXFBSoP69QKJKTk5OTk8+cOcMwzPz58z08PKrsNiwsbO/evTTetm1bp06dahxUqVT+61//Ki0tJYQ4ODh8++23VTbLz8/ftGlTQkJChcTi4uLi4uIOHDjQrVu3L7/8sk2bNpW3nT9/fkZGBqd2E+imTZtYtoo5L4OCgsRicd02Ucdx3Llz5wICAuh+8dLT09PT08PDw0Ui0Zw5c8aMGaP52QEAAAAAAACARu3Jkye3b9/mH/r7+9dHoYxSqcTX6tBkNNX3c1PdL6gSll4CAAAAANCWpaVlnz59aHzhwoUq22RnZ6ekpNB46NChmne+fPnygICAClUyFXAct3PnznXr1lX5KW748OHKf4SGhmoy6M2bN2UyGd1k0qRJVbZJSEj46KOPKlTJVJCSkvLJJ59ER0dXfol2rp4wx3HKqmizCU8mky1btmz37t0VqmQqpLR7925/f/8qewAAAAAAAACApueXX35Rf3jv3j3+Ag4AADRVmFEGAAAAAEAHfHx86CS9x48fnzhxYuUpSSIjI2nQt29fS0vL2vZvZ2c3bty43r1729jYmJiYEEKUSmVubm5MTMz+/fvlcjkh5ObNm4cOHZo+fXqFbU1NTUeMGEEreMLDw2fPni2VSoWHO3ToEA2MjY2dnZ0rN3j69OmqVav4h87OzjNmzLCzszMyMiovL3/x4sWhQ4euX79OX924caO/v3+V/ehHaWnp559//vLlS/qwdevWM2fOdHJysrCwYBimtLQ0OTl53759z549I4TExcX98MMPy5cvN1S2AAAAAAAAAKAf5eXlW7ZsobGrq2tMTAwhZN++fdXNrasfS5cuXbp0qQETAGiSdPiThR/SJgCFMgAAAAAAOuDs7CwSiZRKZVFR0cOHD3v27Kn+qkqlOnHiBI0nTpxYq5779++/cuVKW1vbCs+LxeLWrVu/9957I0eOXL16dVJSEiEkKCjIy8vL2tq6QuMJEybwU91cuXJl5MiRAiNmZmby905NmDBBJBJVaKBUKtetW8c//Pjjjz/44AP+oZGRUZcuXVatWnX+/PkdO3bQJzds2PD7779LJBK+2Z49ewgheXl5M2bMoM8sW7ZMeK6dOmxCbdu2ja+S8fT0/PTTT9V3SiqVOjk5/fTTT7t27Tp//jwh5MqVK2PHju3bt2+NPQMAAAAAAABA43Xx4kV695GTk9PRo0e7detGCPnxxx/Xr19vZGRk6OwAAKC+oFAGAAAAAEAHxGKxp6fnqVOnCCGnT59esmSJ+qsPHjyQyWSEEJFIVNuJVWbNmiXcwNjYeM2aNTNnzqSLCp07d27atGkV2tjZ2XXs2PHFixeEkCNHjrz77ruV57zhnTlzho9HjRpVucFff/2Vk5ND49GjR6tXyajz8PB4+fJlUFAQIUQul4eEhFROjGXZKmMBtd3k0aNHly9fprGrq+vcuXOr3HeWZRcsWJCcnPz06VNCyI8//vjLL78IHCWqtLT08ePHwm3Ky8sJISqVigZQJbqiFsdxOErNR4Wl4nDqmw9+eTuc9OajwpqGWOKwGVIqlTX+WdVscXr7ZcjpaRwAgPqny99o3333HQ1WrVrVtWtXJyenO3fuyOXyixcvCt9lBADQHHAcxwc6/5Oe47hafTzkLyPwWWkDhTIAAAAAALoxZswYWigTFRU1f/589eWNQkNDafDee+9VnqBFe6amphMmTDhy5AipplCGEPLhhx9u3LiREJKVlfXkyRN6j1RlCoWC7gUhxMHBoVWrVpXbHD16lI8//vhjgcSmTJly4sQJ+hkmJCRkypQpGlbD6NDhw4f5+PPPPxf4RMcwjK+vr5+fHyEkKyvr+fPnnTp1Eu78xYsX/PQ21enevTshRC6X5+Xl1SLvZkmhUCgUCkNnAQagUqnwA9LccByHk95sFRYWGjoF0LeioiJDp9CAVVkoo4tL/xU05Bo1nXzVAQDNh4rjyP+W3ddZVlZWREQEjT09PVUq1apVq6ZMmUII+fbbb93d3YU3nzt37v79+wkhBw4cmDx5MiEkLy/v0KFDwcHBd+7cKS4u9vb2Pnr0KF1Bu6ysjG61ePHiZcuWVejq8ePHHTt25B9u3bp15cqVhJD169dXtzZ0cnLyiRMnIiIikpKScnJyjI2N27Vr16NHj4EDB77zzjsDBgwwMzOrLvPk5OTTp09fuHAhLi6uoKCgbdu2rq6u9FYoKysrzXdZpVIVFRUdPHjw8OHD8fHxEonE1dXVx8dn6tSppqamwkdPy0zUv7xXafd+4DguLi4uODj40qVLSUlJKpXKwcFh6NChkyZNcnV1/f/s3XlYE9f6B/AzSSABZJOlKFQRV1SKuO+tuF13Ra3SWqvYqtWirVZar63ibqveWxe0arU/F9xw17rUfaEqghXBBUUUEEQEWcISEpL5/TH3TueGMAlhSFi+n8fnPu9kTs68maWXTN45h+dGltbeoGn6zz//PHbs2Pnz5589e2Ztbf3BBx98+OGHI0aMkEj4fpEXqh9hPw4R7nxu3LgxM9JzfHx8s2bNykvg22+/XbduHSFk69atZe+2lU3PiHOvvCuLpumKfi5DLlJGTk7OkSNHLl269Oeff2ZmZtrZ2XXp0qV///4ffvihi4sLzxsZlbnShUXTtOB/s1X0dhDzJCpBoQwAAAAAQLXi4eHh4uLy5s0bQsidO3fYKYGKiooiIyOZeODAgVW0dT8/P6ZQJicnR6FQcMt0GJ07d2YmhyKEHDlypLxpdG/fvs3eXxg/fnzZBllZWcxnJIT4+/vz3/iwtLQcPnz4kSNHCCFKpfLFixflFehUkeLi4ujoaCZ+//33bW1t+ds3a9bMysqquLiYEHLz5k29hTIAAAAAAAAAUEOxDwJNmjSJub8xZMgQ5pVLly69efOG/2dstVrN/KzO3EiJiIj46KOPuEUbzKMg7E/vrLKvaP3oq9FouD1ryc/PHzNmzMWLF7kvKpVKuVz+9OnTM2fOLFmyxM3NjRlXWGsr58+fDwkJiYuL476enJycnJwcERHx2Wef/fTTT19//XV55RRaH/nq1auDBw9m5q4ihBQWFp47d+7cuXPz5s27fPnye++9p7MTQTIRypMnT4YMGcJOQc6IiYmJiYn5+eefGzVq9Pvvv7du3Vrne7l7Qy6XDxgwICoqil1bVFR06NChQ4cOOTk5XblypbxOBOxHwI9DBD2fS0tLmTb8xQ1sAjqrewU593iurIp+Lv6LlFFSUhISEsJOTM9QKBQnT548efLkrFmz/vnPfy5atKi8+iejr3QwkKmf5gQAAAAAqK0oiho7diwTM/MNMW7dusUErq6uHh4eVbR1e3t7Ns7LyyvbwMLCgp0j6dq1a2wBvhZ2/BWpVKpzlqiUlBQ27tmzp97EunbtysaJiYl62wuLmUeJwZYu8aAoysfHh4kfP35cRVkBAAAAAAAAgHnRNL1ixQom/vLLL5nAysqKHTqXeR7JQIcOHRo/frzWT+ZVMWKWSqXq1q2b1m/nBrp169agQYO0alO0hISEfPLJJ4Zk/ueff/r7+7OVCly5ubkdO3bk+f1e2EyMdv78eW9vb62yEq6UlBQfH59Tp07x9xMfH9+mTRtudQtXdna2j4/PzZs39eZTyX6E+jjEhOezcSpz7plMdnZ2q1attKpktKxYscLf379sRQ6p3JUOBkKhDAAAAACAYHr06MEEL168YIddOXjwIBOMHTvW6JlcaZpOSUk5ffr06tWrv/rqq/Hjx4/6X9OnT2cb5+fn6+xk8ODBbHzlypWyDVJTU9lvkgEBATpnieJ+1WzYsKHezN3c3Ng4OTlZb3thvXz5ko0bNWpkyFvYUWQSEhKqJCcAAAAAAAAAMLe7d+9mZmYSQtzc3Nq1a8e+zhbNrFy50sDKgGvXrn300UeEkKVLlyYnJyuVSrVarVarjx07RlEUEzOztBBC1qxZoy7D8Aer9u/fzz7Ys2jRokePHsnl8tLS0tLSUoVCkZWVdffu3XXr1ul89onh5ua2bt26Bw8e5OXlMW/Mzc29evUq+3zR/v37z549y59GVFRU3759CSErVqxISUlRKpWlpaWvX79evHgx00CtVs+aNYu/E0EyMVpqauo//vEPdvHHH39MS0tTqVQqlSotLe2nn35iV40YMYKn+oQQsnLlSuZ22dKlS1NTU5lO0tPTV69ezbbp16+fzgfbhOpHwI9jyvPZCIKce1oE/1xKpbJr167M04YikWjhwoUJCQlFRUWlpaUlJSWJiYlz5sxhWkZGRpad44kIcaWDXph6CQAAAABAMLa2tu3bt7979y4h5OLFi+PHj3/16lV6ejqzli2jqag7d+5s2bKFuX1jCGYo1LKcnZ19fHyY53X27ds3aNAgrcKd48ePs/GAAQN0dvLq1Ss2trOz05sMd6Jc0z/PkZqaysazZs1iBuxl7nOxE+sy/6vRaJiAHd9VLpfTNM1f29SgQYOtW7fy5xAWFkYIkUql3FF/QEtxcbFSqbSwsDBwFnOoBRQKRUlJCROLRCK9M6NBraFSqYqKiiiKMuT/RKB2KC0tLSwsZBfr1aunsxgXaiXmhxwbG5vyhpQHWqXS8Vc+RRGhH9oWi8WE6JjIoDow+nECAKibKIoSZDoedqSH7777jvvHiZ+fn5ubW0ZGRmZm5r179zp06MCTCRNs2bJFLBbHxcW1bdu2vMbsJiQSid782Z7Lflh2uqjt27cHBQVpbUIqlTo5Ofn5+eksFLCxsTly5Mjw4cO1/hizt7fv3bv31atXf/jhh+XLlxNCPv/887S0tLL/fWZfWbdunbW19YMHD5o1a8audXV1XbhwoYeHx5QpUwghx44dy83NrV+/fpVmYvT5MHXqVCawtLS8d++et7c3u6phw4bz5s0bOnRou3btmJtsn3766Y0bN7TS0FqMiYlp3749u9igQYNvvvlm8ODB7733nlqtVigUoaGh69atK5uJIP0I+HF0ns/sbTRGhc5nlkgk4mnMf0wFOff0njaGfy7+rlavXs1UIzk7O9+7d8/d3Z27iaZNm65du3b06NHMveINGzbMmTPH09OT20NlrnRhsYeeoijB/2ajKKpC90vZ7xSCZILvJwAAAAAAQho1ahRTKHPs2LEPP/zwjz/+YF7v2LFjvXr1jOhw69athoyJaqDx48czhTJ5eXkJCQmtWrViVykUCjZbb29vJycnnT1whwM15AcP7ndF9kdxkykuLmZjnSOyVpKVlRX35oWXNTotAAAgAElEQVROzF4Si8UWFhaCJ1BrMOeGSCTCXqo7tEr6cOjrDvbuKg56nSWRSFAzUddIJBJc8uUx3RwGqEUBgNqCEuK/aIWFhbt27WJiZvCMv/unqPnz58+ePZsQsn79+p07dxrS4S+//MJTJSOg58+fM0F5DzjxaNeuHXfsHC0URS1ZsmTv3r3Pnz9/9erV8+fPvby8eHrbu3cvt1KBNWnSpG+//TYrK4sQcvv27UGDBlV1JkZITk5mb4Lt3r2bW1bC8vb23r1797hx4wghf/7559OnT1u0aFFeh+vXr9d5g6h169bbtm1jCh3Wr1+/YsUK7hNlQvUj+Mcx2flsnH379hl97plAQUHBwoULmfjSpUvcKhmu7t27h4aGhoaGEkK2b9++dOlS7trKXOnCoiiKLZSpis4r9DWBbSxIMph6CQAAAABASG3btrW0tCSEFBUVRUdHnzx5knl91KhRRvR25coVtkpGJBINHz585cqVO3fuPHTo0LFjx44fP37iv3755RcD02OHbTh06BB31Y0bN9h4/Pjx5fXA/fbCDr7CgzufsVQqNSRJAeF3OAAAAAAAAADQwg6p26dPHxcXF621gYGBTLBr1y7uwHjlEYlEEydOFDbD8rDFDRcvXhS8c5FIxFQIEUIiIyN5Wjo4OAwdOrS8TiZMmMDE8fHxVZ2JcU6cOMEEjo6OY8aMKa/ZmDFj2AfJDh8+zNPh559/Xt6qCRMmMLcKyf/efBOwH2E/jinPZyM4ODgMGzZM5ypBzr3KO3fuHBP07t3bx8eHpyU7DlDZ+7pVeqUDA3eNAQAAAACEJBaLhw4deuTIEULIqlWrSktLCSFSqbR169YV7UqtVm/ZsoWJ7ezsNmzY4OjoyNPYkD4pigoMDGRmC4qKisrPz2dmvqBpeu/evUwbqVT63nvvldfDO++8w8ZyuZz/ORhCCPeOUsOGDQ1JUkDcbPft26c3WwAAAAAAAACo9djBG7777ruya11cXPr27cv8Pn3ixAm2bqY8w4YNYysYqtrkyZOZh7ImTZoUFxc3ceLENm3aCDivZcuWLZng8ePHPM0+/vhjnhEd2NtKiYmJVZ2JcS5fvswEkyZN4plhRyQSBQUFrV69mhBy8eLF+fPn62w2ZMgQmUxWXicWFhZjxoxhbrvduHFj4MCB5bU0uh9hP44pz2cjTJgwoarPvUo6ffo0E3z88cf8Ldn7lllZWSUlJdwnDKv6SgeCEWUAAAAAAATHDonJVMkQQoYNG2bEN5n09HS2ymTWrFk8VTKEkNevXxvYrb+/PxuzDyUkJSUxA5MSQgICAniy9fDw4Gaod3PcxBo3bmxgkkJp0qQJG79588bEWwcAAAAAAACA6ubZs2dM7YWlpWWfPn10tvn222+ZYNmyZXo77NKli4Dp8RsxYgR732nt2rW+vr4SiaR3794rVqy4efOmIXNeq9XqyMjI0NDQgQMHenp6WllZWXIMGTKEaZaUlMTTCf84GeywJXK5vKozMc6dO3eYQO+x69y5MxNERUWV16Z79+78nXTt2pUJYmNjeZoZ3Y+wH8eU57MRBDn3qtStW7eYYPbs2fb29vb29nZ2dvXq1atXr56NjY2VlZWVlZVUKmXOc/Zd+fn53E4qf6WDXhhRBgAAAABAYA0bNmzQoMGrV6/YV/r3729EPy9fvmTjVq1a8TeOiYkxsFtra+s+ffowz5ocPHhwxIgRIpGIO+Aq/9y3jRo1YuObN2/qnDiZi/vFu2nTpjwtmfluK0TvWzw9Pdk4JiaGuwgAAAAAAAAAdRAzzi4hZPbs2dwJprk++OADS0tLpVL58OHDpKQkLy8vng7d3d2Fz7IcIpHozJkzO3funDdvXnZ2NvPi9evXr1+/zsRBQUGLFy/mPubEdfTo0aCgoNzcXL0b4p9zql69evxJMgHPfRuhMjEOe8+tQYMG/C3Z0ZHlcrlGo9E5Xkt5e7tsA+69PgH7EfbjmPJ8NkLlz72qxo6BpFAoFAqFge9in7dkVPJKB0NgRBkAAAAAAOGNHTuWjd3d3fV+TdWJ+3AA/4A0JSUl7PS3hggICGCCwsLCBw8eFBYWsnMbt2nThn32QicXFxdnZ2cm/uOPP/i/76lUKnaaZEtLy7L3lbhfyLW+EJanQm+xt7f39vZm4oMHDxq4CQAAAAAAAAColVQq1c8//8zEa9eutSyHjY2NUqlkmrGFNeUpr9qmiohEosmTJ2dmZj548GDDhg2DBw/m3jXasWPHu+++u2PHjrJv3LhxY0BAgCG1KXrxzH1jCAEzqVmEqt6o0ioQE5/PLAM/VCXPPRPQaDSC9GP0lQ4GQqEMAAAAAIDw+vXrd+K/Nm/ebFwnbD0KISQlJYWn5Y4dOypUAtK4cWP2CZL9+/ezMxkTQsaNG6f37WwbmqaZqZHLc/ToUbbchxm6RqsBd+plA6dGquhbJk6cyATFxcXbtm0zZBMAAAAAAAAAUCtdvnyZrYDRaDSq8rFvWbduHXexmhCJRK1bt/7yyy9///13pVL59OnTFStWsNN2T5ky5f79+9z26enpwcHBTNy8efPw8PDExMTc3FyVSqXRaOj/OnPmTFVnXh0yYQdNycjI4G/JjhhtY2Ojc/wVQkhaWhp/J2wD/sFajO5H2I9TdfhLYfLy8kyWSZViH5i8ePEibbDyHrOs6JUOhkOhDAAAAABANdW4cWM23rhxo85SGJqmDxw4YMS9gwkTJjBBXFzc9u3bmVgmk/FP9Mvo168f+33s2LFj5Q1mc+3atT179jCxVCrljrLDkkgkNjY2TMxOqMyvom9p06ZNz549mfjMmTM7duxQq9X8b8nKytq9e3dVDO0LAAAAAAAAAGa0cuXKir5FoVBcuXKlCnIRjEgkatas2fz581+9etW5c2fmxVWrVnHbsE86dejQ4cGDBx999FHTpk3t7e0lEgl3iA4Dn2KqjOqQSceOHZkgOjqavyV764ndsWXdunWLvxN2XvJ27drxNDO6H2E/juDs7e2ZID8/n6fZ3bt3TZJOlevVqxcTcOejF4QhVzoYDoUyAAAAAADVlK2tbY8ePZg4NTV15syZsbGx7FRHRUVFsbGxc+fODQ8PJ4SMGTOmQp136dKFHa6TLRwJCAjgn+OJIRaLf/jhB3YxLCxs+fLlycnJTCmPWq1++fLl2rVr16xZw7b57rvvuCPBcPn7+zPB48ePT548KZfL9Q61WtG3zJ49m30s49ixY5988snvv/+ekZHBfYassLAwOTn57NmzX331VVBQUEREhFADpQIAAAAAgLDavOugPjK5V+t3zJ0IANQwmZmZbMnLixcv9I7xsG7dOqaxEeU1WtgSEL1P71SGVCpdsWIFE589e5a76vr160ywcOFCnrl1Tp48WXXpVZ9M+vTpwwS//fYbz/0fjUbz22+/MXHfvn3La3bq1Cnu/OlaSktLIyIimLh79+48WRndj7AfxxAVOp9btmzJBE+fPi2vTX5+/r179yqTkiAEuU4HDBjABGFhYVV0d5HnSgfDScydAAAAAAAAlCs4ODg2NragoIAQ8urVK255CtfMmTN9fX0PHTpkeM8WFhajRo3Segv7RU6vZs2aLV68ePHixcz3vdu3b9++fbu8xnPmzOnQoUN5a0eOHMne+9i2bRszO5JIJGK/mkZEREgkksq8RSqVrlu3bunSpXFxcYSQgoKCLVu2GPhJAQAAAAAAAKB2YAe+bd68OXcc3/KMHj169uzZhJDLly+/efPGxcXF6E2zg2pkZ2cb3YkhbG1tmUBroFx2MI/yHmQihKSmprKlGFWnOmQyYsSIr776ihCSlZV16tSp4cOH62x26tSpzMxMJuZ5RI0pQJk+fbrOtQcOHGAfe2PHGhG2H2E/jiEqdD537NjxxIkThJBdu3YFBgbqbPPzzz9XJh+hCHKdjh49+rPPPiOEvHz5ct++fR9//LEwyf2v8q50MBxGlAEAAAAAqL6sra03b97cokWL8hrIZLLQ0NCBAwca0fngwYO5i23atKlfv77hb/fz8/vtt99atWrF06ZRo0Zbt2794IMPeNq4uLh8++233MF1CSEajUb9X4K8RSaTLVu27Pvvv2e/8ZaHoqgBAwZs2LCB/cIJAAAAAAAAADWdRqNhB4aZM2eOIW9xd3dn73uwEwYZp1GjRkxw+fJlozvRaDSzZs1KS0srrwF3FBx2lBEGO9f2v//9b53j8ubm5rIj+Fap6pCJp6cnu38CAwOTkpLKtklKSmKrOrp06cJzd44QMnPmzPj4+LKvJyYmBgUFMfH06dP13msyrh/BP45eFTqf//GPfzDB2bNnmWfYtFy5cmXRokWVyUcoglynDg4Oc+fOZeIJEyZcuHCBp3FpaenJkyevXr3KfbEyVzoYDoUyAAAAAADVmr29/erVq9esWTN06FBPT0+xWCwWixs0aNC3b9/vv/8+PDy8ffv2xvXs7OzMLXMZP358RXtwdHT86aeffv3110mTJnXu3NnW1paiKBsbm/bt20+YMGHTpk0bN250c3PT20+PHj3279//9ddf9+zZ08PDQ2v8GKHeQlFU586dd+3atWHDhokTJ3br1s3JyYndn507dw4MDFy5cuWhQ4e+/PJLQx4sAwAAAAAAAICaIiYmJisri4lHjhxp4LvYkpoVK1bonSqaBzvU7s2bNw8cOFBUVGRcPxs2bPDw8OjXr9/hw4dTU1PZmXqKi4vv378/evRotqCHGWKENXr0aCY4e/bs6NGjHz16pFKpCCEajSYjI2PTpk0NGjRITEycMWOGcYkZrppkwk5CVFRU1KJFi40bN2ZnZzNTbmVnZ4eFhbVo0YI9TLt27dJ6XkuLRqPx8fFZu3btmzdvmPPk7du3YWFhLVu2ZCb+trCwWL58ud6sjO5H2I+jV4XO5w4dOnh4eDBxx44dDx06xLRXq9XJyclz587t06dPo0aNPvzww8qkJAihrtMVK1Y0adKEifv37z9kyJDr16/n5+czx1Sj0eTm5sbExCxevNjJyWn48OE5OTlaPRh9pYPhMPUSAAAAAECFHTx4sPKdDBkyZMiQIYa0pCiqRYsW/I96uLm5MaOYGo6m6fT0dCaWyWRt27at0NtZrq6uAQEBAQEBxr2dYWVl1adPnwo9A2HEWwghFEU1btwYdTAAAAAAUB1QEon3H9pfLn6WiEjlfr4qS60h1BCB+9Sp/hJRkfI/sZT4uFlP0fsWqr+manMCk8jPz1epVDKZzMbGxty51EyUmIgq/3C7KS5z07O0t7G055xXxv4Xkp3bxcfHx5CnehjDhw+fOnUqISQzM/Pu3bs8U0vza9KkSatWrR4/fkw4jypZWFgwwfPnz93d3Q3v7eLFixcvXuRpMH78eK3hh3v37t27d+9r164RQo4ePXr06NGy79q+fXujRo02bdpkeCZGqCaZNG7c+OTJk8OGDSOEqNXq4ODg4OBgnS0PHjzIf1Nu3rx5O3fuzMzM/Oabb7755hudbc6dO6d3IOfK9CPgxzFEhc5nkUi0e/du5g6eUqkcO3asVm+WlpbXrl1bv359JbOqPKGuU0tLy+jo6K5duz59+pQQcvr06dOnTxuRjxFXOhgOI8oAAAAAANRRCQkJ7LTQo0ePFovF5s0HAAAAAKDOoShKaqn1z0IssRCJhf0nk4ilEpEJ/v3PhyMiikj0/iNiS/yrHf9okYXZc6jB/0RiQqhK/6ulKOp//hmloKCAHYDh66+/NvyN77zzTrt27ZiYnevECBRFnThxQquSTPVfBo5VIxKJuFPwlCc0NDQ8PFxryBCKok6fPs0zO/b//d//6e1ZENUnk6FDhz548ICdbacsd3f32NjYsoUdWvz8/BISEtgppbTY2dndvXvXkAe9KtmPUB/HEBU9nz/44IODBw+KdJUDOjo63rt3r5o80ibIdcqoX7/+gwcPVq1axd+sSZMme/fuHTp0KPfFylzpYDiMKAMAAAAAUJtlZmb+9ddfDx8+fPbsWWZmpkajsbe3f/fddz09PZnHIxj9+/c3Y5JGUygU7PzKwcHBpplLGwAAAAAAAABqlmPHjrExM+qG4ebMmTNx4kRCyO7duzdv3mz0sEnNmzd/8+bNwYMHjx49eu/evdTUVI2mwkNqNW3adPv27T///POFCxdOnz598+bNx48fi0Sipk2b+vn5DRs2bOjQoba2tjrfa2Njc/ny5Vu3bu3cufPixYvPnj2zsbFp167dqFGjJk6c6OTkZNznMkL1yaR169bPnz+/ffv2wYMHr169+ujRI41G07Jly/fff//DDz/s0aOHztqOshwcHO7du3fp0qXjx4+fP38+KSnJysqqb9++Y8aMGTNmjKWlpYH5VLIfoT6OISp6Po8dO9bf3//XX389ceJEdHS0RCLp2LHjpEmTAgMDZTKZUFlVniDXKcPCwuLbb7+dNWvWhQsXzpw5c+vWrUePHimVSg8Pj3bt2vXq1WvQoEGtW7fWWelSmSsdDERVZjo9AAAAAACotpKSkjZu3JiYmKi3pYeHx5o1a6ytrU2QlbAUCgU7gfGsWbP69etn3nx0mjZtWkxMzIwZM0zzOFQNVVBQoFAopFIpvuTXHYWFhcXFxUwsEon0jkENtYZSqczPz6coypS3v8G8VCpVXl4eu+jg4CCR4OG9uiIrK4sQYm9vzw5ZD9VK2gpjhkbQuNfPGNws8YxYnqMquzY4pJ9SqWDi3oEzPvh4ZqVShKrRvBGtsswXtk+VSqXRaMRiMf4jbxxvR7f36ldg5p2ypGIioiQUERFCLo5amHI8UqDUzKbbpq9aTa9YRQuYBk3TzO/LAlZd1ERTpkzZsWMHIWTv3r3sc1xm7KdKsQedUccPfV3DlApVh4NeWFj4/vvvE0IOHjzo5eVVyd7w9woAAAAAQG1D0/T+/fv37dtnYPuXL19+8cUXO3furNKsAAAAAACgWsk7d9mId9Edmyf3EsVG27xKkZddq1H//Sva06yigvgM4/ODKjPcXpJOvzR3FvA/rCQW3g5ulenBQkSJKA0h5v8hEwAAoPpDoQwAAAAAQG1z6tQpbpWMj4/P6NGjmzZtWq9ePZFIVFBQcPz48YMHD5oxQwAAAAAAAAAAAAAAs0ChDAAAAABArfL69ett27axi6Ghoe3btyeE/Pvf/758WfuBUZFINGrUqKNHj5o0RQAAAAAAAAAAAAAAM0GhDAAAAABArRIREcHGX375JVMloxNFUUuXLvXx8Rk7dmwNHWBGJpOdOHHC3FkAAAAAAAAAAAAAQI2BqQoBAAAAAGoPmqYvXLjAxCKRqG/fvmXbiESixo0bBwYG7tq1y8fHhxBibW09adIkU+YJAAAAAABgNEVm8l8LBha8iDd3IgAAAABQI2FEGQAAAACA2iM/P1+j0TCxt7e3WCxmV3399ddff/21mfICAAAAAAAQDk3T6lJC0+bOAwAAAABqJBTKAAAAAADUHsXFxWxsZ2dXdRtSqVRRUVGRkZEJCQk5OTkODg6+vr5dunTp1KkTtzqHB03TKSkp9+/ff/jw4bNnz96+fSuRSDw8PJo3b96hQ4f33nvP0tKyipKnaTo+Pv7atWv379/Pzs62srJq2bJlp06devXqZW1tXUUbBQAAAAAAAACAWmP79u3bt2+vPv0AQIWgUAYAAAAAoPaQSP7+C//FixeC9Pn69evp06cz8ZIlS3x8fOLi4pYtW8YtysnKyrp48eLFixdtbGwWLFjQtm1bng4LCwvPnz9/6NCh/Px87utKpfLJkydPnjz5/fffKYqaMWPGgAEDKIri6UqhUAQGBjJxcHCwv7+/3uQzMjIWLlyYkZHB3W5UVFRUVNSmTZvmzp3bu3dvPXsEAAAAAAAAAAAAAGoskbkTAAAAAAAAwdjb27Pxq1ev3rx5U/k+aZpW/xchJCoqasGCBdwqGa7CwsJ//vOfp0+f5ukwJCRkx44dWlUyZTcaFha2ePFidiap8rC56WyplXxiYuK0adO4VTJajdesWXPmzBn+LQIAAAAAAAAAAABAzYURZQAAAAAAag8LC4tWrVo9fvyYWVy6dOnKlSttbGyE6j8mJubIkSOEEA8Pj2nTprVo0UImk2k0moyMjMOHD1+4cIFp9ssvvzRo0MDPz4+nq8aNGw8bNszb29vJycnKyooQolarc3JyoqKidu7cqVAoCCF3794NDw//5JNPBEk+Pj4+IiKCpulWrVpNnDjRy8vLysqKpumsrKyIiIhz584xzTZv3tytWzcHBwdBNgoAAAAAAAAAAAAA1QpGlAEAAAAAqFU++ugjNn7x4sWECRN2796dlpZG03TlO2eqZHr16rVhwwZfX18rKyuKosRisbu7+6xZsxYuXMi2XLlypUql0tlJhw4dNm3atGHDhgEDBrz77rvW1tYURVEUJZFIXFxchgwZsnv3bm9vb6ZxRERETk5O5TMnhOzbt6+0tHTixIk//vhj27Ztme2KRCJXV9eZM2d+/vnnbMvDhw8LskUAAAAAAAAAAAAAqG5QKAMAAAAAUKu0a9euW7du7KJarY6IiPjiiy8CAgKWLVt2/PjxR48eyeVyo/v38PCYO3euWCwuu6pjx45Tp05lYoVCUd4ETEFBQR4eHjybkEqlixYtkkqlzOLZs2eNzlaLv7//mDFjKIoqu2ro0KEuLi5MfO7cOUHqigAAAAAAAAAAAACgusHUSwAAAAAAtU1ISMjWrVvPnDnDfVGtVkdFRUVFRTGLzs7OAwYM8Pf3d3V1rVDnM2fOFInKLbgfNGjQnj17ioqKCCEHDhwYPny4zqoUvaytrQMCAvbt20cIOXv2bGBgoBGdlDVlypTyVlEUFRAQsGXLFkKIQqF4+/atk5OT3g5TU1PnzJnD38bCwoIQUlxcLNTQOLWSRqMhhCiVSuyluoM56GyMQ193MJWINE3joNcdWuWn+fn5xv15ADWXXC7HQa9N1GoNIUSj1uhtCdWWSqXCr0O1Ua193oOmaTzNUj1xv9ZBnYJDXwdVxUGnaTo/P9/w9sw9Z6GSwZ9CAAAAAAC1jVgs/uKLLwYNGvTbb7/99ddfOttkZWXt3bt37969HTt2/Oqrr+zs7AzpWSaTtW7dmn/TAQEBe/bsIYQUFBRkZGQ0aNDAiI9ACPHz82MKZXJychQKhUwmM64fboe2trY8Ddj5ngghBhbKqFSq58+f87dp2rQpIYSmabVabVimdRf2Ul2GQ18H4aDXWbirXgfhoNdS+NEaAAAAAIxX0TuBwt5GwNRLAAAAAAC1k6en5+LFi3fv3v3NN9907txZ52RJhJDo6OiJEyc+fPjQkD579uyp92ng9u3bs3FSUpLhCWuxt7dn47y8PKP7YXXq1MnwLebm5lZ+iwAAAAAAAAAAAABQ3WBEGQAAAACA2sze3r537969e/emaVoul6enpz948ODChQtpaWlsG41G8913323btu2dd97h76158+Z6t8jt5OXLl+U1o2k6NTU1Pj7+wYMHaWlpGRkZJSUl3AbcJ4/z8/P15qaXm5sbfwNLS0s2ViqVldwcAAAAAAAAAAAAAFRDKJQBAAAAAKgTKIqys7Ozs7Nr1arV6NGjMzIyfvnll7t377INVq5c+fPPP/N34uLiondDVlZWbPzq1Sudbe7cubNly5bMzEzDchembEUqlVa+Ey22trYjRozgb/PkyRNCiEQiqfzsUbWYSqVSq9VisdjCwsLcuYCJlJaWlpaWMjFFUVVxhUL1pNFolEolDnqdwhx0dtHS0lIkwijXdYVCoSA46LUOM8ak3pEmoTrDJVlL1earEv/NqW5omiY4LnUMc9AZOPR1StVd7yKRqEL3S4Wd0RWFMgAAAAAAdZGbm1toaOjOnTsPHz7MvJKUlJSent6wYUOed3HHXCkPd44nrUFiGFu3bj116lQF862mXFxcfvjhB/4206ZNI4RYWlrWq1fPJEnVSAUFBWq1WiKRYC/VHYWFhdxCGRz6ukOpVDI1EzjodYdKpeIWylhbW0skuCdZVzCFMlZWVqiFrU1EIooQQqHSoiYTi8WE1t8MoJrAT/LVDVswgUNTd3CrZAgOfR1TdYUyFb0dxOYgSMkvvpQCAAAAANRdn3zyyaVLl3JycpjFhw8f8hfKGDKyC7e0v2xhzZUrV9gqGZFINHTo0G7dujVs2NDGxkYikVAUxX7hSU9Pnz59uuGfBQAAAAAAAAAAAABALxTKAAAAAADUXSKRaPDgweHh4czi8+fP+dtnZWXp7bOoqIiNGzRowF2lVqu3bNnCxHZ2dhs2bHB0dCyvH7VarXdbAAAAAAAAAKCl6YR+Ll28zZ1FZdWCjwAAANUWCmUAAAAAAOo0Dw8PNi4uLuZvnJiYqLfDN2/e6OycEJKenl5YWMjEs2bN4qmSIYS8fv1a77YAAAAAAAAAQIvn6N7mTgEAAKBawzSiAAAAAAB1WkFBARvb29vzN75+/brWnMRl3b17l42bNGnCXfXy5Us2btWqFX8/MTEx/A0AAAAAAAAAAAAAACoKI8oAAAAAANRpd+7cYeMWLVrwNy4uLk5ISOCpcVGr1UeOHGFiGxubhg0bcteWlJSwsVgs5tlQSUnJuXPn+JMBAAAAAAAAgL/RaprQVGmpufMwFE1EquK/s5XILEWWFmbMBwAA6g6MKAMAAAAAUHsUFRUdO3ZMpVIZ2D49PT0qKopd1DvKCyEkLCxMo9GUt/bChQvsEDVjx46lKIq71tnZmY1TUlJ4trJjx47SmnNrDwAAAAAAAMDsaKKmSSlRK2vQv9JCBftPo1KbexcCAEBdgUIZAAAAAIBaZceOHYGBgYcPHy4qKuJvmZGRERISwi5269bN0dFRb//JyckbNmzQWSsTGxsbFhbGxFKpdOjQoVoNGjduzMYbN27UWQpD0/SBAwfOnDmjNxMAAAAAAAAAAAAAgIpCoQwAAAAAQG2jVCp37tw5fvz4ZcuW3bhxIy0tTcZGIlMAACAASURBVKFQMKtomi4qKnr8+PHPP/88derU/Px85nVbW9vZs2fr7XnYsGGEkIsXL86ZM+fBgwdKpZIQotFoMjMzt27d+sMPP7AtQ0JCLC0ttd5ua2vbo0cPJk5NTZ05c2ZsbCybW1FRUWxs7Ny5c8PDwwkhY8aMqcxOAAAAAACA2kr2jmf7VRfrNfExdyIAAAAAUCNJzJ0AAAAAAABUlaioKO7MSuVxdHRcs2aNtbW13pZdu3b19vb+6aefkpKS5s+fX16zKVOmdOrUSeeq4ODg2NhYZnqmV69ecWtruGbOnOnr63vo0CG9KQEAAAAAAAAAAAAAGA4jygAAAAAA1B7W1tY7duwICgpyd3c3pL2VldXnn3/+66+/uri4GLiJnj17hoaGlh0thu1w6dKlI0aM4Mlw8+bNLVq0KK+BTCYLDQ0dOHCggfkAAAAAAAAAAAAAABgOI8oAAAAAANQqzs7OI0eOHDlypFwuf/r0aUJCwosXL16+fPn69WuVSiWTyRo0aODh4dGsWTNfX99GjRqJxeKKbqJ9+/bh4eG3b9+OjIx8/Phxbm6unZ2dn59fly5dunbtqrdDe3v71atXP3369MqVK/Hx8ampqYQQV1fX1q1bd+vWzc/Pz8LCwsgPDwAAAAAAAAAAAADAC4UyAAAAAAC1k62tbfv27du3b18VnUul0t69e/fu3du4t1MU1aJFC55xZQghbm5uJ06c4O9HJpPxtzGkE5atra3hjQEAAAAAaroGc78w4l0aOysr5wYNx1IlRZqyaw+eFZWq/xP3aOIwfmDLymQIVcTJkRZZNhS2T4VCUVpaamFhIZVKhe25jnC3sbeSVOqhETFFKIoQmhCLCj8PYxyaprmLFEVVvAtiaf/3gLUiC/xqCQAAJoL/ywEAAAAAAAAAAAAAqHMchxs54akTIV69dK8Sif/+pbyVa73R7QyaExZqgfz8fKVSaWVlZWNjY+5c6jaKEBPVyRBC09xaGUokqmgHFCES/FAJAADmUOH/0wIAAAAAAAAAAAAAAAAAAAAAqIlQqAkAAFB3vX79evr06Uy8ZMkSHx8f8+ZTdzx9+jQkJISJN23a1KBBA8E3UVRU9PDhw/j4+ISEhNevX+fm5lpYWDg5OTVv3tzLy6tt27ZNmjQRVfxBHyMoFIrAwEAmDg4O9vf3N8FGgatOHQITXFwAAAAAUCGl8uKMmCQJRgwoD0XcfGQ61+TZOmQohP7WRpP8/KqdFkfDmYklK7Pw4f2MKt0cVB9FRUUqlUoqlcpkcnPnUiPVd7Z2dqln7iwqhiZ/jyhDEaKp+MxLYDRROf+/KiK07hU8aPp//tutc2MiHF0AqG3w/QQAAKDCVCrVhx9+KFRv4eHh1tbWQvVWITRNq9Vq/e2gCrB7Xms658pLTU3duXNnVFSU1uulpaUvX758+fLl5cuXCSFSqXTcuHFDhw6VyXTfkxUQ+2E1Gh0T2NdxgYGBCoWCiQ8fPlxF1Ut16hBU3cUFAAAAAEYoSEy/Puif5s6i+rKwsfhoV0OdqxK6B+x4ki/s5iQi0a0brsL2qUWp/vtLx61ryUWvz1fp5gBqjf5DWg0d09bcWUCNIbPT/bq04gVLdClNSpTlrhZJiKUVZWlRwV4BAKo7FMoAAAAYA/UlUA2pVKrNmzdfuHDBkMYlJSW7du0KDw//7LPPBg8eTFF4LsQ81Go1/nsCAAAAAAAAAAAAAGAyKJQBAAAAqA3kcvm8efPS09PZV9zc3MaPH9+iRQtnZ2epVEoIKS0tzcvLS0xM/OOPP6KjowkharV6y5Ytnp6ebdq0MVvqAAAAAAAAAAAAAAAApoJCGQAAgAqzsLA4ceIET4MrV67861//YuIvv/xywIABJskL6q7i4uJZs2ZlZ2czi9bW1t9//32bNm20xomxsLBwdnZ2dnbu2rVrTk7Or7/+ev36dXPkCwAAAAAAAAAAAAAAYB4olAEAABCeSCTSGQNUBZqmly1bxlbJeHl5rVixwtramv9djo6O8+bN69ev3/Lly6s0PZlMxl9YBgAAAAAAAFAhefK0k1e+H9B9vqtTC3PnAgAAAAA1DwplAAAAAGq2a9euxcXFMbGdnd2qVatkMpmB7/Xz89u2bVteXl6VZQe1gZubG6qdAAAAAACg+qAJ0WjUhNDmTgQAAAAAaiQUygAAAADUYKWlpWFhYexiSEiI4VUyDEdHR0dHR6HzAgAAAAAAAAAAAAAAqI5QKAMAAFCbqdXquLi4yMjIhw8fZmZmlpaWtm7duuqm2snMzIyJibl3715ycnJWVpZIJHJxcfHy8mrbtq2fn5+rq6tQG6JpOiUl5f79+w8fPnz27Nnbt28lEomHh0fz5s07dOjw3nvvWVpaGtdtfHz8tWvX7t+/n52dbWVl1bJly06dOvXq1UvvTEZcarU6Jibm1q1bsbGxOTk5Dg4OLVu27N69e5cuXYxLjMft27cVCgUTe3p6+vj4CNt/Fe1qfhqNJiEh4d69e48fP3727JlCobC1tW3WrFm7du26dOni7OxsSCdv3ryJjIx89OjR48ePCwsLZTJZixYtWrdu3b1794YNGxqYiclO6eqTTN25uKrVwQUAAAAAAAAAAAAAk0GhDAAAgHlcv379X//6FxOHh4fz/1QcFxe3cOFCJt66dauLi0vZNq9fv54+fToTL1myxMfH58mTJ0uWLMnPz+c2U6lURmSbk5Pz7bffvnnzhlkMDg729/fnNpDL5f/+97+jo6O13piampqamnr16lVCiLe392effda8eXMjEmAVFhaeP3/+0KFDWp9LqVQ+efLkyZMnv//+O0VRM2bMGDBgAEVR5fVTdndlZGQsXLgwIyOD22dUVFRUVNSmTZvmzp3bu3dvQzJMSEhYsmSJXC5nX8nKysrKyoqMjJRKpfPnz2/fvn3FPjOv48ePs/H48eN5PnJFCbWrFQpFYGAgE5c9c7TQNH3hwoVff/21uLiY+3p2dnZ2dvbt27e3bNnSsWPHqVOnurm5lddJXl7eTz/9xE5HxaYdHR0dHR29a9cuLy+vf/7zn/yVECY7pQ1hmmTqzsVVrQ4uAAAAAAAAAAAAAJiYyNwJAAAA1FE0Tav/y5D2bGOa1j0Dt1aH0dHR33zzjdYP3sZ58eLFtGnTMjIymK0vWbJEq9YhLy/v888/L/urs5ZHjx7NnTtXqwCiokJCQnbs2MH/uWiaDgsLW7x4sUaj4WnD3V2JiYnMZyyv8Zo1a86cOaM3vQsXLsybN4/7Qz5XSUlJaGgo8zO8IJRK5ePHj9lFYYeTEWpXE87Zy9+ssLBw7ty5GzZs4D9JoqOjp06dWt7auLi4SZMmaVXJaElKSvrss88iIyPLa2DKU1ovkyVTRy6uanVwAQAAAAAAAAAAAMD0MKIMAABALRQTE3P06FFCSLNmzSZNmtSsWTMrKyuapjMzM3mKA3SKiopatmwZE9vY2KxZs8bd3V2rzeLFi4uKipi4W7duAQEB7u7u1tbWFEVpNJqCggJmkIZz585V+pP9R+PGjYcNG+bt7e3k5GRlZUUIUavVOTk5UVFRO3fuZKYiunv3bnh4+CeffKK3t/j4+IiICJqmW7VqNXHiRC8vL2Z3ZWVlRUREsGlv3ry5W7duDg4OPP2sX7+eXezbt++YMWPc3NxEIpFCoUhMTNy6dWtycvLatWtHjx5d2V1ACCEkPT2djR0dHW1tbQXplkvYXc2juLg4ODg4KyuLWZTJZB9++GHPnj2dnJwkEglN03K5PCUl5fz581euXCmvkxcvXixYsIBd9PX1nThxYuPGjS0sLEpLS9PS0sLDw2/fvs2s/fHHH5cuXerr61u2H9Of0jxMnEytv7iq1cEFAAAAAAAAAAAAANNDoQwAAEAtdOTIEULIyJEjJ0+ezM6QQlGUm5tbhUo0jh49+ttvvzFxw4YNV69eXbYUIy0tLTExkYk/+uij8ePHc9eKxWJ7e3t7e/u2bdsGBQWdOHHCuE/E6tChw/z58z08PLRel0gkLi4uQ4YM6dev38KFCx89ekQIiYiIGDp0qKOjI3+f+/btI4RMnDhx9OjR3N3l6uo6c+bMRo0abdu2jXnx8OHDU6ZM0dmJWq1evnw5u/j999937tyZXbSysvLx8Vm3bt369esvXbp0+PDhin3scrx8+ZKNmzZtKkifrKrY1TzWrl3LVsn4+vrOnz+fOx8ZRVH29vY+Pj4+Pj5TpkzZu3dv2R7UavXixYvZxcmTJ48aNYpdtLCw8PT0XLBgwR9//LFx40bmxeXLl+/Zs8fS0pLbj4lPaX6mTKYuXFzV6uACAAAAAAAAAAAAgFmgUAYAAKB28vX15VbJVJRGo9m8eTM7poKPj8+iRYu06gkYT58+ZWP+KhwrK6tx48YZlw8rKCiIv4FUKl20aNGnn35aUlJCCDl79mxgYKDebv39/ceMGaNz1dChQ48dO/bmzRtCyLlz54KCgnTu1QsXLhQWFrJJcn/IZ4lEotmzZ7948SIpKUlvSoZgsmI0atRIkD5ZVbSrdYqPj4+KimLiZs2ahYaGisXi8hrb29t/8cUXZV+/dOlSdnY2Ew8cOJBbJcM1YMCA169fR0REEEIUCsXhw4e10jbxKc3PlMnUhYurKvZnbm7usWPH+NswI/GoVCrM5cSDmatLrVZjL9UdpaWlbEzTNA593cFOPIqDXndozTZbUlKiUqnMlQxADcI/dy0A1DIxt1JePMs2dxZQY/SYJdL9ujjfglZWqCvVs1JNVEx5a9XOnqXefWQ+3v/zolqtUqkoipJKpRXaFtRczEFnF6VSqdE/PUDNQtM0cze4ig56hf7iZW8jCPJ3MgplAAAAaqfp06cb/VeLUqlcunRpbGwsszhgwIAZM2aIRLq/fbGlCTKZzMLCwrgtCsva2jogIIAZysLA3/LLG8qCEEJRVEBAwJYtWwghCoXi7du3Tk5OZZvt37+fCaysrIYNG8bT28yZM+fOnas3JUPk5eWxsc6sqpoRu1qn8PBwNg4JCeGpkuHBHgJCyOTJk3lajhs37ujRo8wPtIcPHx43bhz39K5Wp3S1SobU/IurKvbn27dv2TGKysMM+KRSqdiKHyhPaWkpt3gC6g6apnGB1DU46HUZaqQADKSugkIZmqYF7xMABPE2u+htdpG5s4Aao5VC961ajeQtoUsq1JUqq5g8f1DeWmVRaVH9NipP7RGI/7NWWbGiHKg1UPheB1WHg15UJOT/Uer+zygAAADUaK6uru7u7sa9Vy6Xz5o1i62S+fTTT7/88svyqmQIIexkTAqFovr82uHn58cEOTk5zFgO/I3LTinF5e399zMTb9++LdsgOzub/QF+5MiR/HUezZo1s7Oz40/JQNy/TSUS8xRAV2hX6ySXyx88eMD25ubmZkQnWVlZ7Pg6/v7+3GmbyrK0tBw+fDgTK5XKFy9ecNdWq1O6WiXDqNEXVzXcnwAAAAAAAAAAAABgYiiUAQAAqIV69epl3BvT0tKmTp2anp7OLC5YsIB/dhJCSPPmzdl41apVwpb0Gs3e3p6NucOu6NSpUyfDe8vNzS3bgFtp0bFjR/7eKIr64IMP+NsYiDskhrnGYKjQrtaJu/f69+9vXBopKSls3LNnT73tu3btysaJiYncVdXqlK5WyTBq9MVVDfcnAAAAAAAAAAAAAJgYpl4CAACohd59910j3hUbG7tw4UJmHGapVPrjjz96eXnpfZenp6e7u3taWhrTw/jx43v27Dlo0KCmTZvyj+pRGTRNp6amxsfHP3jwIC0tLSMjg5kmk8WdojI/P/+dd97h6U3vECaWlpZsrHNAUba0iBDi6urK3xv57zwslccdPCMnJ0eQPrUIu6t14ta4eHp6GpcncwYyGjZsqLc996AnJydzV5nllC6P6ZOp3RdXFe1Pc43nBAAAAAAAAAAAAABGwC1dAACAWsjR0bGib9m5c+eTJ0+Y2MnJac2aNU5OToa8kaKoxYsXBwcHFxcXM6/cuHHjxo0bTD+dO3fu1KmTt7e3jY1NRVMqz507d7Zs2ZKZmWlge71z5Uql0kqm9OrVKzY25Od2Z2fnSm6R4eLiwsbcchOhCL6rdeJWQnDHF6kQ7iEwZGYr7gnJLbIh5jileZg4mVp/cVXF/vTy8rp16xZ/m2nTphFCrK2thbr2a6WCggKFQiGVSvmn64LapLCwkL0YRSJR/fr1zZsPmIxSqczPz6coysC/NqEWUKlU3IHoHBwcUGZad2RlZZk7hRrMogquFIqiBO8TAACqD4qiCF2xt1hYWKh419rZ2dn+7w0NhUJRUFAgFouNuAsNNVRJSYlcLmcX69evLxJh4po6QaPRvH37llSPg15YWMgEgmSCL6UAAAC1kBH3ndkqGULIxx9/XKHfLVxdXX/77bcdO3b88ccf3Nezs7PPnDlz5swZQkjHjh0nTZrUqFGjiiamZevWradOnapkJ4LjlgsY8ida5asHGO7u7mz87NkzQfpkmWxXc/cedzKpClGp/v5Gb8j5zz1MWiOmENOe0nqZLJk6cnFVq4MLAAAAAAAAAAAAAKaHQhkAAAAghJB+/fpdvnxZrVYTQtavX29tbd29e3fD325tbf3ll18GBQXdu3cvMjIyKipKq/ggOjo6Ojo6ICDg008/NfoJtitXrrA/5ItEoqFDh3br1q1hw4Y2NjYSiYSiKLbn9PT06dOnG7cVI3Cnj9FoNGKxmL992coM43DnGMrOzpbL5UKNxGDKXc3deyqVSiaTGdEJt8KGOY35cecP0llaYZpT2kAmSKZOXVzV6uACAAAAAAAAAAAAgImhUAYAAMD8aFrPgJiG/PBfSX369Bk9evTXX3+tUCgIIatWrQoODu7fv3+FOmHKa7p3707TdG5ublJS0vXr169evcrmf+TIkUaNGvn7+xuRoVqt3rJlCxPb2dlt2LCBZ2xPE+wxrnfeeYeNi4qK9M4flJ2dLch2ZTJZs2bNEhMTmcUHDx507dq18t2aeFdzy33y8/ONq/XhHgK5XK536hx2kEatBLRU6SldUVWXTN28uKrVwQUAAAAAAAAAAAAAk8HkYQAAAObBHRdB7w/PppnW3d3dfdOmTfXq1WMWN2zYcOzYMeO6oijK0dGxQ4cOX331VURERFBQELtq69at3ME8DJeens4WN8yaNYt/BtzXr18bsQmjcadAyszM1Ns+KSlJqE2PGjWKjffv36+36MoQJt7V3AlukpOTjevEw8ODjdPT0/W256bduHFjve2r4pQ2muDJ1PGLq1odXAAAAAAAAAAAAACoaiiUAQAAMA87Ozs2lsvl/I3j4+OrOJ3/cHZ23rRpE/sz+Y4dO8LDwyvZp0QiGTly5IABA5jFoqKit2/fGtHPy5cv2bhVq1b8jWNiYozYhNE8PT3Z+O7du3rbX758WahNd+3alZ05KCkp6eHDh5Xv08S7mrv3Lly4YFwn3Gqbmzdv6m0fFRXFxk2bNq3QtoQ6pQUhSDK4uFjV6uACAAAAAAAAAAAAQFVAoQwAAIB5ODs7s/Hz5895WiqVyitXrlR5Qv/l4OCwadOmBg0aMIsHDhzYunVr5ccp6d69OxvrLQzSqaSkhI254/HobHnu3DkjNmE0Z2dntrro6NGj/EMEJSYm5uXlCbVpCwuLadOmsYs//fQTd0cZIi8vLyUlhfuKiXe1ra0tW5wRHR1t3IAlLi4u7DX1xx9/MDOIlUelUp04cYKJLS0tvby8jNhi5U9pAVUyGVxcWqrVwQUAAAAAAAAAAAAAYaFQBgAAwDxcXV0pimJi9jd7nQ4cOGDiuT9sbGzWrVvHzkdz6tSpdevWVbJWhjsqAzu7U4VwS4u0Cju07Nixo7S01IhNVMa4ceOYoKio6OzZs+U1o2l606ZNwm66b9++bKFJTk7OggUL+MtEuOLi4j7//HOtUgDT7+pPPvmEjdeuXWvcCc8eApqm9+7dy9Py6NGjbGnIiBEjRCJj/iSu/CktoEomg4tLS7U6uAAAAAAAAAAAAAAgLBTKAAAAmIdYLO7ZsycTP378+Pbt2zqbXbp0KSIiwoR5/YdMJlu7di1bfnHp0qVVq1bpHMvh4MGDcXFx/MM8FBcX7969m+2Z+6u84djCHULIxo0bdf5aT9P0gQMHzpw5Y0T/lTRgwABra2sm3rJly19//VW2DfNDfmJiorCbpigqNDTU3t6eWXzy5MmUKVOePHnC/y65XL5+/XqdVTWm39U+Pj4dO3Zk4sePHy9btoyn1qewsHD79u1lX+/Xrx879MixY8fKG/jk2rVre/bsYWKpVDp27FitBiY7pQ1hmmTqzsVVrQ4uAAAAAAAYzcHWfeKIXa5OLc2dCAAAAADUSCiUAQAAMBvuKBrLly/ft29fbm4uM3BLSUnJ06dPQ0NDf/75Z7FYXPa3fBOwtLRcuXKln58fs3jz5s3Q0NCyv6A/e/ZswYIF48aN27p1a2xs7Nu3b1UqFbNKrVbn5ORcuXJl6tSpOTk5zIvTp09nh9KpEFtb2x49ejBxamrqzJkzY2Nj2XKKoqKi2NjYuXPnhoeHE0LGjBljxCYqQyKRzJ8/n11ctGjR5s2bMzIymMFRlErlo0eP5s6dy1RvjBgxQtitW1tbb9y48Z133mEW5XL5N998M3PmzOvXr2dkZHCPSF5e3l9//bV69eqPP/74woULOnszy67+5ptv2DKX6OjoyZMnnzx5Misri6lpoGm6sLAwISEhLCwsMDDw+PHjZXsQi8U//PADuxgWFrZ8+fLk5GTmpFWr1S9fvly7du2aNWvYNt99951MJtPqx2SntCFMk0zdubiq1cEFAAAAAAAAAAAAALOQmDsBAACAusvNzS0wMHDfvn3M4r59+9iYa9WqVUql0izjyojF4kWLFq1evToyMpIQEhsb+913361YscLS0lKrpVKpPHXq1KlTp/g7HDhwYJ8+fYzOJzg4ODY2tqCggBDy6tUrblUE18yZM319fQ8dOmT0hozj6+v7xRdfbN68mVk8c+aMzuE3goODPT09dZZ6VIa9vX1YWFhYWNjly5eZV1JTU1evXs3/LpFINHnyZG9v77JJmnhXM7U+3333XWpqKiGksLBw27Zt27Ztq1AnzZo1W7x48eLFi5kSitu3b5c3VhMhZM6cOR06dChvrWlOaQOZIJk6dXFVq4MLAAAAAAAAAAAAACaGEWUAAADMafz48dOnTy9vrbOzc1hYWMuW5hxJWCQShYSE9OvXj1l88uTJnDlziouLK9qPra3tvHnzZsyYUZnhGaytrTdv3tyiRYvyGshkstDQ0IEDBxq9iUoaNGjQypUrbWxsdK6VSCQLFizo379/FW3d0tLy66+/Xr9+PTsOEA+JRDJhwoT9+/ePGDFCJNL+m9Asu9rW1nbDhg1BQUESCV8xt6+v76ZNm8pb6+fn99tvv7GzhunUqFGjrVu3fvDBB0anSgQ6pYVS+WRwcXFVq4MLAAAAAAAAAAAAAMLCiDIAAADmRFHU4MGDe/Xqde3atTt37iQkJBQVFTk7O7dp0+aDDz7w9fUVi8XmzpFQFBUcHGxjY8OM05CSkjJr1qx//etftra2hJCQkJA3b96kpKS8ePHi+fPnr169evPmTXFxsUajsbe3b9SoUevWrf38/Fq0aFG2GsMI9vb2q1evfvr06ZUrV+Lj45nRR1xdXVu3bt2tWzc/Pz8LC4vKb6Uy2rRps2fPnjt37ty6deuvv/7Kzc11cHBo3rx5z549u3btWnaiH8F5enouXrxYLpc/evQoLi4uISHh9evXubm5FhYWTk5OzZs39/Ly8vHx8fLy4j+7zLKrRSLRyJEjhw0bFhsbe+/evYcPHyYnJyuVyvr16zdt2tTX17dLly6urq78nTg6Ov7000+ZmZk3btx4+PDho0ePCgoKrK2tW7Zs2bp16+7du3t4ePC83cSnND9TJlMXLq5qdXABAAAA6gixjcylW2uUIJdHIhWT+i46V9lY1Gtqpz2eayVRRFTsbi9sn1ruU5Tmv7Gjk3XzVro/HdQ+arVao9GIRKLqcC8LTIM56ExMURT/g08gLCeZ7hsXlFhKaGWFuhLZK8RN2pS3Vm3bQGRrW7HkAABqAoqmaXPnAAAAAAAAUGtNmzYtJiZmxowZQUFB5s6l+iooKFAoFFKp1BY34OqMwsJCdow6kUhUv3598+YDJqNUKvPz8ymKcnJyMncuYCIqlSovL49ddHBwwA9pdUdWVhYhxN7e3uxV12AyNjY2RUVFTPz9998vXbrUvPmAyeTn5yuVSisrq/KGAoXaRy6Xl5SUMLFEInFwcDBvPmAyCoWioKBALBY7OjqaOxcwkZKSErlczi7Wr18fj5nVERqN5u3bt6R6HPTCwsL333+fEHLw4EEvL69K9oYzGAAAAAAAAAAAAAAAAAAAAADqBDy9AQAAALWWQqEIDAxk4uDgYH9/f/PmA6b09OnTkJAQJt60aVODBg3Mm0918/r16+nTpzPxkiVLfHx8zJtPZeBYAwAAAAAAAAAAAIDhUCgDAAAAfO7evcsdJ3nevHndu3c3Yz4VpVarmYCdMhnqDvboV36y0cDAQIVCwdPA2traw8OjSZMm7du3b9u2rbW1dSW3WNVommb3Ty0g4LEGAAAAAKjmnk/9RpX9tuzr9bcPLpTYx2fLy67id+O1WEML9pVZRf/9ReP870/y0w4J1TNUczRN0zRNURRFUebOBUyEOejsot4pOdyaOV21t6zMFv/dIr5lacJ/FixtRH0xuRsAABgJhTIAAADA5/Dhw9xf0w8ePFizCmUABKFWq/nLSuRy+aNHjx49enT69GlCyODBgydNmiSTyUyVIAAAAAAA1BWlObmlWToKZWhKSRNlsbq4oh3mKkUa4SrOuT2VFJfmvq1wPgBQW9kWKt+IK/VfG1VJMVHl/mdBUypATgAAUFfpqe4EAACAuiwvLy8uLo77SlJSUlZW3dFsOAAAIABJREFUlrnyyc/PH/Vff/75p7nSANDr9OnTn332WV5enrkTAQAAAAAAAAAAAACA/4ERZQAAAKBc165dK/vixYsXx40bZ/pkGJhgBczu6NGjYrGY+wpN06WlpdnZ2X/++eeePXtKS0sJIfn5+SEhIZs3b9Y78jAAAAAAAAAAAAAAAJgMCmUAAABAN5qmDx48yMTe3t4ymeyvv/4ihBw9enTs2LE14rd/mUx24sQJc2cBtU3Z2dYpirKwsHBzcwsICPD39582bVpxcTEh5NWrV1FRUV27djVHmgAAAAAAAAAAAAAAoEMN+IkLAAAAzOL58+fsxDGjR48eMWIEExcVFT158sR8eQFUaw4ODrNnz2YXr169asZkAAAAAAAAap88edqek5Mzs3FrAgAAAACMhBFlAAAAQLdTp06xcbt27UQikUgk0mg0hJDjx4+3atXKfKkBVGs+Pj5sHBcXZ8ZMAAAAAAAAah+aEI1GTQhmZAYAAAAAI6FQBgAAAHRQKpUXLlxgYn9/f0tLS0LIwIEDz5w5QwiJjIwsKiqytrY2omeapuPj469du3b//v3s7GwrK6uWLVt26tSpV69exnUoFLVafefOnaioqHv37uXm5jo6OrZo0aJHjx6dO3dmPr4Z0TSdkpJy//79hw8fPnv27O3btxKJxMPDo3nz5h06dHjvvfeqIsOq26gg54BarY6Jibl161ZsbGxOTo6Dg0PLli27d+/epUsXsx8v7qcoKSnhb1x1+1mtVsfFxUVGRj58+DAzM7O0tLR169bLly/neYtKpYqKioqMjExISGD2qq+vb5cuXTp16iQWi41Lo/IEPNZmuZQAAAAAAAAAAAAAoFpBoQwAAADocOfOHTYePHgwE/zjH/9gCmUIIbdu3fL39+fv5PXr19OnT2fiJUuW+Pj4ZGRkLFy4MCMjg22jVCqjoqKioqI2bdo0d+7c3r17/z97dx4fVXU+fvzcmclOEjAkhDUxLLIUYqRQw6KWQlBEURYtv35BpS1QItBCxa/QgoK0imIVBQq0qaIRMUQQQRbRIsgX2Y0JW4gISQiQBEL22e/vj6u30ywzk8xMZpJ83n/weu7MmXOeuWcmzPLMOXV2NWvWrKtXr8ryf34utmLFCo2mjk0k09LSdLofXuHo9frJkycr8ezZs+0knJmZ+Ze//KWyslK9pKioqKio6NChQwEBAQsXLkxISLhw4cKCBQuUa9esWdOxY8fa/Rw8ePC1115T4tTUVPtlH5mZmYsXL1bi9evXR0ZG1m5TWVn52WefbdmypayszPZyo9GYnZ2dnZ29c+dOSZJmzZqVlJQkSZKd4ZznxkHd+Biwdf78+aVLl5aXl6uXFBcXFxcXK/P13HPP3XXXXQ27z25VXV2txp07d66vmUfPc3Z29tKlS2v0bDKZ7HSSmZn54osv2iZfXFz8+eeff/755yEhIYsWLfrJT35S323d/shXuWuuvfJUAgAAAAAAAAD4oDq+XgIAAEhLS1OC4ODgnj17KnFsbGxYWJgSf/jhhw47kWXZ8iMhRE5OzowZM2wrJGo0fvXVV9VCnBqUTpSNn2p3bqvOG9a4bQ2ffPLJokWLbKtkbBkMhiVLluzfv9+2N9uSHTt32SGHHS5YsCAlJaXGV/u1B129evULL7xg5z42iBsHdeNjQLVv375nnnnGtnLClsFgeP7557/88kv7nXjUmTNn1PhnP/tZfc08d56PHz/+xz/+0X7PNRw9enTRokW2VTK2KisrFy5c+OmnnzqZgEMOH/kKN861V55KAAAAAAAAAAAfxIoyAACgpuLi4osXLyrxuHHj1MUVJEkaP37822+/LYQoKCi4evVqnauq1CkrKystLU2W5d69e0+dOjUuLi4oKEiW5eLi4rS0tD179ijN1q5dm5iY2LZtWzffpfqdOHFiw4YN6uEDDzwwbty4Dh06aDQag8Hw3Xff/fOf/8zJyXnttdcmTJjQZFnVEBMT89BDD/Xp0yciIiIoKEgIYbFYSkpKjh49+s477+j1eiHEyZMnU1NTp0yZ4rODuuUxkJWVtWrVKvXwF7/4xcSJE6OjozUajV6vz8nJWb9+/eXLl1euXOmt+SovL3/jjTfUw1GjRtlv7/bzfOLEia1btwohevTo8eSTT/bo0UM5z4WFhYcOHarvJh999JEQokuXLjNmzOjVq1dgYKDVar127Vp6erq6C9vf//73jh07JiQkOJOG6zwx1155KgEAAAAAAAAAfAqFMgAAoKbPP/9cjX/+85/bXnXvvfcqhTJCiD179jz55JNO9rlp0yYhxNSpUydMmGBbeRMVFZWcnNytWze1WiU9Pf3Xv/51jZuvW7dOCHHr1q2pU6cqlzzzzDPDhw9vwL2qi8lkevnll9XDZcuWxcfHq4eBgYH9+vVbuXLlhg0bduzYkZ6e7uJwjTBw4MDnnnuuS5cuNS7X6XSRkZEPPvjgyJEjFy9efPbsWSFEWlra2LFj27Vr55uDuvgYEEJYLJbly5erh3/6058GDx6sHgYFBfXv3/+NN95YtWrVF1980cTzZVtvoa7LMmvWrPbt29d3Ew+dZ6Xk5ZFHHnnqqadsz3N0dHR9BSXKTYYPHz5v3jytVqtcqNVqO3fuPGfOnCFDhixdulS58K9//Wtqaqqfn5/DNFzk9rn2ylMJAAAAAAAAAOCDKJQBAAD/xWq1Kt+aCyE6deoUHR1te21ERERcXJyy3syOHTumTJmifq3u0IgRIyZOnFjnVWPHjt22bVtRUZEQYs+ePdOmTVO/4Lel0WjqjBttz549yhoSQojk5GTbKhmVJEm//e1vv//++9OnT7s+YkNNmzbNfoOAgIAlS5Y88cQTBoNBCLF79+7Jkyf77KAuPgb27dun7pA1bdo028oJlUajmTt37qVLl9RVkdxu/PjxNXKrvd9Q165dZ8+e3bt3bzv9eO48x8fH21bJOKNLly7z58+v82n105/+dPr06evXrxdC6PX6Tz/9dNy4cc733Dhun2vPnW2z2VxSUmK/jfIIkWWZTZ3sUPbh4iy1KjU2X2PqWw916pn01qP2853Zb234L75pKC+nvJ0FANTP3X+i+M/FW3hJ3wrxFr7VUufaFybdvTlQKAMAAP7L+fPn1fUw6qxpmDBhwiuvvCKEMBqNWVlZdRaX1KnONUIUyqZOyrIxer3+5s2bERERDU694dLS0pSgTZs2I0eOtJPejBkz5syZ0wQpNUJwcPD48eOV9VrcUijjuUFdfAx88MEHShAUFPTQQw/Z6So5OXn+/PnOpNQIDl+Ojx49+qmnngoODnZ9rMad55kzZzaoSkYIkZycbKf47IEHHnjvvfeqqqqEEJs3b3744Ycb2n9DeWWuG3e2c3NzH3vsMfttunfvLoSorq6+efOm63m2bEajkbPUOlmtVqa+tZFlmUlvtcrKyrydApoak+5e9b0lsVosJou5iZMBAOeZzWYhXFqk1vanSrIsl/B60qssFgsv6VutW7dueTsFNDVfmHTlA2rhpooZN/wUGwAAtCTbt29X47vvvrt2g0GDBqmxuvaMQwkJCaGhoXYa9OnTR42b5i1WcXGxug7Eo48+an9pnNjY2Kap3WmchIQEJSgpKVHXyPG1QV18DNy4cePGjRtK/Mgjj9ifrx49eoSFhTlMyUP27Nnzy1/+8u233zab3fAhdUPPc1RUVOfOnRs0RGBgYN++fe000Gq148ePV+KKiopr1641qP+G8uJce+WpBAAAAAAAAABoSqwoAwAA/qOqqurQoUNKnJCQ0KZNm9ptAgMDhw4dqjQ7depUeXm5/eoHhW15TZ3Cw8PVuGlqky9duqTG6rfjdgwfPnzbtm0eTMgFtmevtLQ0MDDQBwd18TFgO18//elP7XclSdJ9991nW/XlRlu3bq1dumG1WisrKy9cuPDee+/l5OQIIT766KNvvvnmpZdecnE6Gnqehw8f3tAhhg0b5nCFmLvuuuu9995T4osXL3bs2LGhozjPi3PtlacSAAAAAAAAAKApUSgDAAD+4+uvv1bjcePG1dds7Nixaj3NwYMHx4wZ47Dn6Oho+w38/f3V2Gg0OuzQdVeuXFHjyMhIh+3j4uI8mY49sizn5eVlZWWdPn36ypUr165dMxgMtg1sVxosKyvr0KGDDw7q4mOgoKBAjaOioux3JX7c7MYT6qwp0Wg0oaGhd911V0JCQnp6+saNG4UQFy9eXL58+bJly+z05vbz3LVr1wbcGSGEED179nTYxnbc/Pz8hg7RIJ6ba688lQAAAAAAAAAAPoVCGQAA8B+bN29WAo1GM2DAgPqa9e7d29/fXyll2LJlywMPPOBwOYqAgAA35ukW169fV+Pg4GCH7b219dKxY8fWrVtXWFjoZHu3lBl5YlAXHwNXr15VY2fmq3379q4M12iSJE2YMOHEiROnT58WQmRkZJw9e9Z2VylbnjjP7dq1cz5bhTOFYkFBQWpsOxee4KG59tBTKSoq6i9/+Yv9Nh988IEQwt/f35n1t1otvV5vMpl0Op3tgw0tm8FgUJ9okiTVuY4dWiSz2VxdXc2ktyoWi0XdS14IERwcbH9rRbQk5eXlgkl3t5v1vAGXNBqthvMMwHdptRpXe9BoxH9+4SJ4l+0tJpNJr9drNJqQkBBv54ImoryPUw/btGnj8BsBtAyyLFdUVAjfmHSN5of/R9ySCYUyAADgB1euXFG/nx49erROV+/rBK1WO3bs2I8++kgIUVxcnJubGxMT00RZuo/tt+DqCyw7vFLrs379+h07drSGQR1qFvOlkCTp//2//7do0SLlcNu2bXUWynjoPNt55tbHdi2f+th+sVFjFRa388Rce+5R3aZNm6SkJPtt0tPThRA6nc4HSwZ9h8lkMplMWq2Ws9R6mM1mNZYkialvPSRJUj5gZdJbD5PJZHvo7+/fiFcsaKaUQhk/Pz8/Pz9v59Jy1PfFgEaSnHn9DADeIrn+N8rmDyBvIrxIlmXBFLRu/v7+vOpoJdQVuH1h0tWPkiiUAQAA7vTZZ5+p8a5du/bu3Wunse0GJZ9++unvfvc7D2bmGbYf1FqtVoc/cGyaDaFs7d+/X/1qX6PRjB07NjExsVOnTiEhITqdTpIk9eVgQUHBzJkzm++gzrAt5nBmvjxdzGFfbGysGh8+fFiW5Rqv3X3qPDvz2LZ9yjtTWOMKt8+1T51tAAAAAAAAAIB3USgDAACEEMJisWzfvr3GJU7eds+ePb/5zW+a3Q8EO3TooMbV1dUO879x40aD+ld+WmGH/TNssVjWrVunxGFhYW+++aadLXWcnyyHKTX9oE6yna+qqqrw8HD77Rs6X+5VY8Og6upq20t87TwXFxc7bGO7XULHjh3ttHTxkS/cPde+drYBAAAAAAAAAN7FmkgAAEAIITIzM213QGgQq9V66tQp9+bTBDp37qzGRUVFDttfunTJYRvbpS8cfuNuvzqhoKCgsrJSiefMmWPnq30hxPXr1x3m5gyvDOok2/kqLCx02P7ixYueTKdhamw34GvnOScnx2Eb2+dIly5dalzrxke+cPdc+9rZBgAAAAAAAAB4FyvKAAAAIYRIT09X4w8++KDGehh1slgsEydOVL4U37Jly+DBgz2YXy0OV61wKCYmRo2/+eab7t27229/4MABh32GhYWpcXl5ue1hbVlZWXauzc/PV+PevXvbH/fEiRMOc3OGVwZ1ku1mRidPnuzZs6f99v/+9789m5BdtuuvCCFqbNjsa+f54MGDycnJ9jd2PXnypBrffvvtNa514yNfuHuufe1sAwAAAAAAAAC8ixVlAACAKCsry8jIUOKf/vSnzlTJCCG0Wm1SUpISnzt3rqSkxFP5/Uij+c9Ll0avf6OKjIwMDQ1V4q1bt1qtVjuN8/LynFl1pn379mr8/fff22lpNBr3799vp4HBYFBj2+U66my5Z88eh7k5wyuDOql9+/bqWiBbt261v2xJTk5OaWlpk+RVN9v1h0JCQgIDA22v9bXzXF1dff78eTsNLBbLRx99pMQhISGdOnWq0cCNj3zh7rn2tbMNAAAAAAAAAPAuCmUAAIA4ePCgGo8ZM8b5G44cOVKNm2ABD9tqA2fKVuyTJGnSpElKXFZW9uWXX9bXUpbl9evXO9NnVFSUuizH9u3b7bTcvHmz/dIc28qD3NxcOy1TUlJcLxvy4qDOe/zxx5Wgqqpq9+7d9TWTZXnNmjVNlVTdCbz//vvq4c9//vMaDXzwPK9evdrOA3Lfvn0VFRVKPGnSpNprz7jxka9w41z74NkGAAAAAAAAAHgRhTIAALR2six/+OGH6uGAAQOcv2337t3VPWXS09Nd3w7JPp1OFxISosTHjh1zvcMxY8b4+/sr8d/+9rezZ8/WbiPL8saNG9UVd+zTarXDhg1T4nPnzh05cqTOZl988UVaWpr9rmx3hnrrrbfq/P5eluXNmzfv2rXLmdyc4ZVBnZeUlKQud7Ru3bpTp07VbqNUTuTk5DRtav9l69atp0+fVg/HjRtXo4EPnufLly+/+eabdZawZGRkrF69WokDAgLGjh1bu40bH/kKN861D55tAAAAAAAAAIAXUSgDAEBrd/nyZXXXpKFDh6qFI87QaDSjR49W4vLy8iaoThgxYoQSnDt37pNPPikvL3elOsff33/+/Pnq4bPPPpuSklJYWKiUCxiNxuzs7IULF6anp4u6yh3qNGXKFDVevnz5pk2bbt26pSRpMBguXLjw/PPPv/7661qtVl3Ppk6hoaFDhw5V4ry8vOTk5IyMDL1er1xSVVWVkZExf/781NRUIcTEiRMbdMd9alDn6XS65557Tj1csmTJ2rVrr127ps7X2bNn58+fr+ye4+R8uYssy1VVVZmZmQsWLHj77bfVy//nf/6nQ4cONRr72nl+6KGHhBCff/75vHnzTp8+bTQahRBWq7WwsHD9+vV//vOf1ZYLFiyo70+Eux75CjfOta+dbQAAAAAuahvaeeq4jVERd3g7EQAAADRXOm8nAAAAvGznzp1qfP/99zf05iNGjFB3Wvnkk0/mzZvntszq8sgjj3zyySdKvGHDhg0bNgghNBqNuu1LWlqaTteAVziJiYlTp07duHGjcrht27Zt27bVbjZ79uyYmJiPP/5YOay99YwqOjp68uTJmzZtUg43bdqkxrZeeuklo9Fof3WN2bNnZ2RkKFveXL161bZewVZycnJ8fPyWLVvsdOU8rwzqvPj4+N/97ndr165VDnft2lXnKiCzZ8+OjY1V58u9xo8fX+MBIMtynWuxJCUl1VcU4lPn+e677+7Tp8+KFSsuXrxoW55Sw69//etBgwbVd60bH/kKN861T51tAAAAAAAAAIB3saIMAACtmtFo3Lt3rxJLktS3b9+G9nD77bcHBQUp8f79+9V1GjwkMjLy2WefrVGmYLVaLT9qRJ8TJ05csmRJYGBgnddqtdqFCxeOGjXKthLCfi3OL3/5y5kzZ9Z3bfv27VevXn3HHY5/+hYcHLx27dpevXrV1yAwMPD5559XF/VxC68M2iAPPPDAX//6V3UTrhp0Ot2iRYtGjRrluQRsH2+K2lUyHTt2fPHFF59++un6aqp87TwPGzbs+eefr2+1mKCgoGXLljlcpMddj3yVu+ba1842AAAAAAAAAMCLWFEGAIBW7eTJk+rWRffdd5+fn19De5AkacyYMcrmREKIY8eODR8+3J0p1jJ06NAPPvjg66+/Pnbs2KVLl65du2Y2m13sc+DAge+///7XX3999OjRjIyMW7dutW3btmfPnkOHDk1MTFRqaEpLS9X29X1zr1DOyfDhww8cOHDs2LHz589XVVW1b9++X79+9913X3x8vFardTKx8PDwV1555cKFC/v378/KysrLyxNCREVF9e3bNzExMSEhoRFT5puDNki/fv3ee++9Y8eOff3116dOnVLna9iwYXfffXd9NU8epdPpOnToEBsb27t374EDB3bu3NnOskMKXzvPd911V2pq6pEjRw4dOnTu3Llbt26FhYUlJCT87Gc/u/vuu5150Lrxka9y11z72tkGAAAAAAAAAHiLpH43BgAAADvS09PfeecdJf74448dlkEAgGLGjBknTpyYNWvWtGnTvJ2L76qoqNDr9QEBAaGhod7OBU2ksrKyurpaiTUazW233ebdfNBkjEZjWVmZJEkRERHezgVNxGQy2Radt23btkGbpaJZKy4uFkKEh4dTl+xGputFcl3LqWoiA80ajdna4FXkqxuzNmu9YiI6VFdVKfEffr/gf5/9kzt7hw+rqKgwmUyBgYHqwsNo8SorK41GoxJrtdqwsDD77a0ayezf4J/Q2IrSVvtrfvy9nKQRwe1d6Q2NptfrKyoqtFptu3btvJ0LmojBYCgvL1cPb7vtNo2GjWtaBavVevPmTeEbk15ZWXnvvfcKIT788MO4uDgXe+NNKQAAgFMOHjyoBLGxsVTJAAAAAAC8wq9DZH1X6YQQDf8Ouo1bq5hs3y2HtPGPiqYMurUILJONRmNQUJD9VXjRkpSXC4Phh+8ZdTpd27ZN8HynDAsA4B4UygAAADhWXFx88eJFJR41apR3kwFgS6/XT548WYlnz549YsQI7+YDAAAAAAAAAPBlFMoAAAA4IMvymjVr1MNBgwZ5MZlW68iRIy+99JISjxw5Mjk5uRGdvP322x9//LESz5s3b/jw4W7LD15l+XHleavV6t1MAAAA0NyV7vm34XK+t7PwlEO9BuZLAR4dwmyV1fhsZmHau6c8OlxzEXibn7mf2XG7JnF7qFYnuXXDLSGEEAaDwWq16iw6P0O9ixQFaDXRwdVuH9rtdFa/wKs3RGWp46ZNQq7Sntlbaqj0lYeQymg0qu/HJUkKDAz0bj7eNXD5rwVLUANA80GhDAAAaNVkWU5JSXnsscdCQ+teHtZisfzjH/84fvy4cpiYmBgdHd2ECeIHCQkJVqtVlmUhxN69e3/729/6+/s3qAeLxbJ9+3b1ExwKngAAAADUVvbl4fJDR72dhafs+5+Yr2969rt220KZ784X70jP8uhwzUVMn9uuh/lK1UVS5xBZVHiqd4O9KyMCg9v4FXpqaPcJFJGBV7+Tr531diI/sFq7fvf26ZvflXg7EdgzcPmvvZ0CAKABNN5OAAAAwMs+/vjjX/3qV2+88UZWVlZ5eblSimGxWEpKSv7973/PmDFj586dSkutVjtz5kyvJtt6+fv7q5teybL8zTffNLSHrKwss/mHT4TvvffeVv47JwAAAAAAAAAAWidWlAEAABBCiM8///zzzz+300Cn061YsaJdu3ZNlhJqePDBB/fu3avEW7ZsGTx4cINuvnXrVjV+6KGH3JkZAAAAAAAAAABoJlhRBgAAwLGEhIR33nmnR48e3k6kVYuNjVULlc6dO1dS0oA1h8vLy0+ePKnEbdq06dmzp/vzAwAAAAAAAAAAPo8VZQAAQKsmSdLmzZu///77s2fP5uTk5Ofn37x5s7y8XKfTtW/fvnfv3r17905MTGQhGV8gSdLEiRM3bNigHH755ZePPPKIk7f9v//7PzUeP368JEnuzw8AAAAA4GGl5Vc+2f+npCHPRUX08nYuAAAAaK4olAEAAK1dUFBQ3759+/bt6+1E4Ng999yjFsqkp6ePGzfOmZIXWZbT0tLUwxEjRngqPwAAAACAJ8lCWK0WIWRvJwIAAIBmjEIZAAAANBvh4eH9+/fPzMwUQpSWln7//fdxcXEOb3XlypXCwkIl7tWr12233VZnM4vFcvr06VOnTp05cyY3N9dsNkdERPTv3//OO+8cNGiQv79/IxKWZTkrK+vAgQPffvvtjRs3goKC7rjjjkGDBg0fPjw4ONj5fjyRm+9osnsny3Jubu6333575syZ77777ubNmzqdrkuXLj179hw4cOCAAQOa+5kEAAAAAAAAADhEoQwAAACakwkTJiiFMkKIXbt2JScnO7zJ3r171XjSpEm1G8iyvHv37pSUFIPBYHt5QUFBQUHBnj17tFrt9OnT77//fjsL2Fy/fn3mzJlKvHTp0v79+1+7dm3x4sXXrl1T2xiNxqNHjx49enTNmjXz58+/5557HCbvem6rV6/et2+fw4FsDR8+fN68ebaXHDx48LXXXlPi1NRU+1U+mZmZixcvVuL169dHRkbW19ItZ94ZlZWVn3322ZYtW8rKymwvNxqN2dnZ2dnZO3fulCRp1qxZSUlJ7MwFAAAAAAAAAC0YhTIAAABoTuLj43U6ndlsFkLs3bt3+vTpfn5+dtpbLJYdO3YosSRJCQkJNRpUVVUtXrw4Ozvbfidr1649duzYokWLtFptnW1kWbZYLOphTk7O/PnzZbnu9cBlWX711VcrKysfeOABO+O6JTeLxWKbmDNqt69x75zvob4zINx35p2xYMGCvLw8+21kWV69evXhw4cXL16s0WgaPRYAAAAAAAAAwJdRKAMAAIDmRKvVjh07dtu2bUIIWZZPnTo1ePBgO+2zsrKUqhohxP33319jbx2DwTB37tzr168rh5GRkU888cSAAQPCwsIkSTIYDNnZ2Rs2bLh8+bIQ4vjx4ytXrlywYIHDJLOystLS0mRZ7t2799SpU+Pi4oKCgmRZLi4uTktL27Nnj9Js7dq1iYmJbdu2rbMTD+XmI7xy72JiYh566KE+ffpEREQEBQUJISwWS0lJydGjR9955x29Xi+EOHnyZGpq6pQpU1wcCwAAAAAAAADgmyiUAQAAQDMzevRopVBGCLFlyxb7hTJbt25V49rLt6xatUqt1RgzZsxvf/tb22VLAgMDBwwY8MYbb6xZs0bZv+mrr7564IEH+vfvbz/DTZs2CSGmTp06YcIEdR8fSZKioqKSk5O7deu2YcMG5cL09PRf//rXdXbirtzmzJkzZ84c+wnLsrx8+fKjR48qh3feeaf99q7z0Jmvz8CBA5977rlNArXbAAAgAElEQVQuXbrUuFyn00VGRj744IMjR45cvHjx2bNnhRBpaWljx45t165d48YCAAAAAAAAAPgyVhQHAABAM9O5c+fo6GglPnfu3K1bt+prWV5efvLkSSVu165dTEyM7bU5OTkHDx5U4sGDB8+YMaPOzX00Gk1ycnJsbKxy+Prrr9vZTkg1YsSIiRMnqlUytsaOHRsZGanEe/bsqbM3j+ZWW0pKilolM27cuFGjRjWiE+c18b0TQkybNq12lYytgICAJUuWBAQEKIe7d+9u3EAAAAAAAAAAAB/HijIAAABofh577LFVq1Yp8Zdffjlu3Lg6m/3f//2f7U1qlK28//77ajx37tw6i1oUkiTNnj17/vz5QoiioqL8/PyuXbvaz7C+dWKU3saPH79u3TohhF6vv3nzZkRERI02Hs2thp07d3788cdKnJiYOG3atAbdvBGa8t45Lzg4ePz48cpqQLt37548ebIzt7p69eqyZcvst6moqBBC6PX60tJS1/NsqSwWixDCZDJxlloPZdIVsiwz9a2H1WoVTHorU6PUtaKiws7//miRKisrm9Gkm0wmb6fgQWab/3/RlCy+dOatstVbz0irbPXOwA1ksVgsFovv/NDcbDErr6Dgy0pLS0Xz+c/ORcoD0mq18pK+9ajxV6isrKwZvbqDK9R3c74w6VVVVUrglv8WKZQBAABA8zNkyBC1UGbLli0PP/xw7ZfpsiynpaWph/fcc4/ttdXV1cePH1fie++9NzQ01P6IPXr0CAoKqq6uFkIcPnzYfrlGQkKC/Q779OmjxrULZTyaWw3Hjx9XSnaEEL169VqwYIGn3/A05b1rqISEBKVQpqSkRK/XBwYGOrxJdXW1uhhPfbp37y6EsFqtLftLF7ewWq18/ts6ybLME6QVYtJbLbPZ7O0U0NSa16Q3ehXDZqFl3ztf5lNnXpZlb33P5VPnwQ5Zln0qVd4lNQsmk6n1FMooeB/XmjWvV3dwC1+YdPf+zfGdilgAAADAWcHBwYmJiUpcWlp66dKl2m3y8/MLCwuVOD4+vkZBhu1Nhg8f7nBESZL69++vxOfOnbPfeNCgQfYbhIeHq3HtraM8mputixcvLl26VImjoqJefPHFOrdAcq8mu3eNYDsv/CgKAAAAAAAAAFokVpQBAABAszRu3LjDhw8r8aeffpqcnFyjwd69e9V4woQJNa7Nz89X427dujkzYteuXZW1Q86fP2+/ZXR0tP0G/v7+amw0GpsyN1VxcfGCBQuUODg4eOXKlc4soOK6prl3dZJlOS8vLysr6/Tp01euXLl27ZrBYLBtYPsrvbKysg4dOrgyHAAAAAAAAADAB1EoAwAAgGapd+/e6o48e/funT59up+fn3qtxWLZsWOHEut0OnVJElVeXp4az5kzR6PRiB9XgVbXWFb+tVqtSqBuKl9eXi7Lsp0tigICAly5ax7NTVFVVTV//nylRkej0axcudJ2MRWPaoJ7V6djx46tW7dOXWTIodoFTHUKDg4eMmSI/TY3btwQQmi1WtsCKdRgsVgsFotGo9HpeJfaWiiTrsSSJNn+DUfLZrVazWYzk96q1FiW38/Pz+t726PJKK+pmtekKy9QWyqNRhLChzaUaT0kyYceV158PjaXPwWSJPlUqhqNxqfyQZ38/f1bz9ZLvKRvhZRJVw+b16s7uEJ9N+cLk+7e7Z/4CBIAAADNkkajeeSRRzZt2iSEkGX51KlTgwcPVq/NzMxUv399+OGHa+8opFTYKPR6vefzbQBP52YymZ599tmSkhLl8MUXX+zcubPbR6mPV878+vXr1cIp94qOjl61apX9NjNmzBBCBAQEhIWFeSKHlqGiosJisfj5+dXYJQ0tWGVlpfoHQZIkniCth9FoLCsrE0Iw6a2HyWSy3dMwJCSEssjWo7i4WAgRHBzcjL5IK23Rj0+tRiuEO79ggJO0Wh8qlNFIGm9VS2l8qWDIDq1Wq9VqfaemTKfVef27STgUFhbWegpl9Hp9RUWFRqPhJX3rYTAYysvL1cPQ0NCWXVsMldVqvXnzpvCNSVc/5HdLJi35RT8AAABatpEjRyqFMkKILVu22BbKpKenq/GoUaNq39aXv57xaG6yLL/44ouXL19WDv/whz/85Cc/8dxwtTX9md+/f79aJaPRaMaOHZuYmNipUyflWzrbXwoWFBTMnDmzidMDAAAAAAAAADQl3/16AAAAALAvMjIyLi7u4sWLQohz587dunWrbdu2Qojy8vKMjAylTceOHetcLqVDhw5qvGnTppCQkCZJ2Smey02W5dWrV586dUo5nDx58s9//vNGdGK/gbqWT52a+MxbLJZ169YpcVhY2JtvvtmuXTs7jT2aDAAAAAAAAADA61gTCQAAAM3YxIkT1fjLL79UgkOHDqkXTpo0qc4b3n777WpcVFTkmewayXO5bdmyZe/evUo8YsSIX/7yl07e0HbvKofVJMoC+/Vp4jNfUFBQWVmpxHPmzLFTJSOEuH79uqfzAQAAAAAAAAB4F4UyAAAAaMYGDRqkxlu2bJFlWZbltLQ09cIhQ4bUecPY2Fg1PnHihMcSbAwP5Xbw4MF3331Xifv37z9nzhzn9zi33XPadkPiOmVlZdm5tonPfH5+vhr37t3bfmNfeyQAAAAAAAAAANyOQhkAAAA0YwEBAb/4xS+UuLS09NKlS/n5+eo6JYmJicHBwXXeMDw8vE+fPkr84Ycfms3mJsjWSZ7I7dy5c6+88ooSd+nSZcmSJRpNA94LtG/fXo2///57Oy2NRuP+/fvtNGjiM28wGNTYdl2cOlvu2bPHo8kAAAAAAAAAALyOQhkAAAA0b2PHjlXjTz/9VN1aSAgxbtw4OzecOnWqElRXV2/YsMFD6TWOe3O7du3ac889p8RhYWGvvPKKv79/g3qIiopSl5/Zvn27nZabN2+2Wq32e2vKM29b4pObm2unZUpKik/VSwEAAAAAAAAAPIFCGQAAADRvcXFx4eHhSrx3794dO3YocVBQkP2tdvr16zds2DAl3rVrV0pKisVisT9WcXHxu+++W1lZ6XLWDrgxt/Ly8nnz5ik31+l0f/vb30JCQhqaj1arVfM5d+7ckSNH6mz2xRdf2O57VZ+mPPMxMTFq/NZbb9VZCiPL8ubNm3ft2tXQzgEAAAAAAAAAzQ6FMgAAAGjeJEmaMGGCEsuyrJZcPProow53F5o7d27Hjh2VeNu2bVOmTNm5c+e1a9eMRqNyodVqraysvHz58u7du3//+99PmzYtLS3N4YopbuGW3Mxm8x//+MeKigrlcMWKFZGRkY3LZ8qUKWq8fPnyTZs23bp1S5ZlIYTBYLhw4cLzzz//+uuva7XaSZMmNc29c0ZoaOjQoUOVOC8vLzk5OSMjQ6/XK5dUVVVlZGTMnz8/NTVVCDFx4sSG9g8AAACgKbUN7Tx13MaoiDu8nQgAAACaMZ23EwAAAABcdd9996WkpNS48Be/+IXDGwYEBLzxxhvLli3LzMwUQlRUVKxbt84jKTacW3IrLy+/evWqevjMM884c6vhw4fPmzevxoXR0dGTJ0/etGmTcrhp0yY1tvXSSy8ZjUaH68o05ZmfPXt2RkaGUi109erVP//5z3U2S05Ojo+P37Jli4fSAAAAAAAAAAD4AlaUAQAAQLPXtm3bfv362V4SFxfn5NIpgYGBL7744p/+9Cd1/6b6SJKUlJT05ptvhoaGNj7XhnB7bhan1XnzX/7ylzNnzqyv8/bt269evfqOO5z9ZWeTnfng4OC1a9f26tXLTibPP//86NGjG9E5AAAAAAAAAKB5YUUZAAAAtAQTJ048ffq07aHzt5UkafDgwRs3bszNzT127NiFCxeys7Nv3bolhIiKiuratWv37t0HDBjQq1cvPz8/96fefHKTJGnMmDHDhw8/cODAsWPHzp8/X1VV1b59+379+t13333x8fFarbahHTbNvQsPD3/llVcuXLiwf//+rKysvLw8ZYi+ffsmJiYmJCQ0/cwCAAAAAAAAALxCkmXZ2zkAAAAAQIs1Y8aMEydOzJo1a9q0ad7OxXdVVFTo9fqAgIAmW7EJXldZWVldXa3EGo3mtttu824+aDJGo7GsrEySpIiICG/ngiZiMplKS0vVw7Zt2+p0/HivtSguLhZChIeHN6O65NJ9B4y5V7ydhacc7nFngSbQo0PMHdXPqP/hv/hJj86YPOl3Hh2uuQi8zc/c2+ztLH4Q20ar1dS9jKgrDAaDxWLx8/Oz83wP0GiigvVuH9rtdLIu8NpNUVnm7UR+IFdpzn5ebqwyeTuRmoxGo9n8wwNbo9EEBnr2z4uPS1jyhJAkb2fRRPR6fUVFhVarbdeunbdzQRMxGAzl5eXq4W233abRsHFNq2C1Wm/evCl8Y9IrKyvvvfdeIcSHH34YFxfnYm+8KQUAAAAAAAAAQAghwkfe4+0UPOhhzw8xXyMZf4zv6Bf56OR4z48Jn1BWVmY0GoOCgkJCQrydizt083YCNiQh+g30dhJ1KS8vNxgMSqzT6dq2bevdfAAAcB6lXgAAAAAAAAAAAAAAAGgVWFEGAAAA8BS9Xn/hwoWsrKzz589fvXq1pKTEarWGhIR069bt9ttvv/322/v06dOhQwep1azN6wl6vX7y5MlKPHv27BEjRng3HwAAAMBJlopK840Sb2fhdrIaVZQbCvJL7TRFS1JRUWEymQIDzUFBvrLJVAtm9tNYdHX8Ej7YTw4Kcv++WvWptFQarT+sIaWz6jSm2h9uyGE/7sUmhDDrrRXF7kzPv21IcEd28wQANAaFMgAAAID7Xb16NTU19cCBA7WvMhqNJSUlGRkZymFoaOhjjz02evToVr6Ztysslh8+aLNard7NBAAAAHBe+VdHCv66yttZuN1/XpPv3/PdzUvbvZgK0FJ1HRKzS66jIGnMgJD4O3KaPp8f3Kp5gSRJj36zTz00St22jj/oxgHvmDF2yNo/uLFDAEDrQaEMAAAA4E4mk+kf//jHrl27nGxfXl7+z3/+MyUl5bHHHps0aZK/v79H0wMAAAAAAAAAoDWjUAYAAABwm/Ly8gULFly5ckW9pGPHjo888kifPn3at28fHBwsSZIsy3q9vqioKCsr69NPP83LyxNCyLK8efPmgICAiRMnei99AAAAAAAAAABaOAplAAAAAPeoqqp6+umnS0pKlMN27do9++yzffv2rdFMkqTg4OCYmJiYmJgHH3wwLy/v73//e2ZmZpPnCwAAAAAAAABAq0OhDAAAAOAGsiw///zzapVMr169li9fHhAQ4PCGXbt2Xb58+bFjx1599VUP59gyBQYGbt++3dtZAAAAAPC40vIrn+z/U9KQ56Iienk7FwAAADRjGm8nAAAAALQEn3/++blz55S4ffv2f/nLX5ypklENGjToX//6V7du3TyTHQAAAAA0e7IQVqtFCNnbiQAAAKB5o1AGAAAAcJXJZPr73/+uHj733HP+/v4N7SQ4OHjw4MFuzQsAAAAAAAAAAPwXtl4CAAAAXHX48GGj0ajEvXv37tmzp6dHtFgsp0+fPnXq1JkzZ3Jzc81mc0RERP/+/e+8885BgwY1qEynqKjo0KFDZ8+ePXfuXGVlZWBgYK9evfr27TtkyJBOnTo1Or3MzMxDhw6dOXOmsLDQbDb37dt3+fLltZsdO3bs6NGj33zzza1bt9q1a9erV6+hQ4cOHjy4EZVGDsmynJub++233545c+a77767efOmTqfr0qVLz549Bw4cOGDAAE8MCgAAAAAAAADwKRTKAAAAAK7atm2bGk+cONGjY8myvHv37pSUFIPBYHt5QUFBQUHBnj17tFrt9OnT77//fkmS7HdVWlq6YsWKzMxM2wuNRuPx48ePHz++cePGuLi4hQsXRkVF2enk+vXrM2fOVOKlS5f2798/Ozt76dKlZWVlts1MJlONG2ZmZv7lL3+prKxULykqKlKqdgICAhYuXJiQkHDhwoUFCxYo165Zs6Zjx461E9Dr9ZMnT1bi2bNnjxgxonabysrKzz77bMuWLTWyMhqN2dnZ2dnZO3fulCRp1qxZSUlJDs8bAAAAAAAAAKD5YuslAAAAwCUGgyEnJ0c97Nevn+fGqqqqeuaZZ9auXVujSsaWxWJZu3btsmXLLBaLna4yMzOffPLJGlUyNVy8ePE3v/nNoUOH7LSRZdnyIyHE8ePH//jHP9aoR6ntk08+WbRokW2VjC2DwbBkyZL9+/crd0chy3J9valtrFZrnQ0WLFiQkpJiPytZllevXv3CCy/U1wkAAAAAAAAAoAVgRRkAAADAJVeuXFHjiIiIkJAQDw1kMBjmzp17/fp15TAyMvKJJ54YMGBAWFiYJEkGgyE7O3vDhg2XL18WQhw/fnzlypXqciw1XLp0adGiRephfHz81KlTY2Ji/Pz8zGbzlStXUlNTjxw5olz78ssvL1u2LD4+3mGGJ06c2Lp1qxCiR48eTz75ZI8ePYKCgmRZLiwstK22OXHixIYNG9TDBx54YNy4cR06dNBoNAaD4bvvvvvnP/+Zk5Pz2muvTZgwocGnqX4xMTEPPfRQnz59IiIigoKChBAWi6WkpOTo0aPvvPOOXq8XQpw8eTI1NXXKlCluHBcAAAAAAAAA4DtYUQYAAABwSUFBgRp3797dcwOtWrVKrZIZM2bM+vXr77nnnrZt22o0GkmSAgMDBwwY8MYbbyQlJSltvvrqqzoXjLFYLC+88IJ6+NRTTy1btqxnz57+/v6SJPn5+cXGxi5atOjpp59W2yxfvtxoNDrM8KOPPpJl+ZFHHlm5cuWAAQOCg4MlSdJoNNHR0WrJi8lkevnll9WbLFu27He/+12nTp20Wq1yL/r167dy5cqxY8cKIdLT0xt8muoycODANWvWvPnmm0lJSV27dlUSkyRJp9NFRkY++OCD7777bp8+fZTGaWlpJSUlbhkXAAAAAAAAAOBrWFEGAAAAcElRUZEad+vWzUOj5OTkHDx4UIkHDx48Y8YMSZJqN9NoNMnJydnZ2ZcuXRJCvP766//4xz9qtPziiy9u3LihxKNHj3700UfrHDEpKen69etpaWlCCL1en56ePnnyZId5xsfHP/XUU3XmptizZ4+ydosQIjk5uc6FaiRJ+u1vf/v999+fPn3a4YjOmDZtmv0GAQEBS5YseeKJJ5Q9rXbv3u3MnRVClJeXHzhwwH4bpcbIbDbb2TALytZdVquVs9R62G4PJ8syU996mM1mJWDSW48a20EajUb7G0Si5TGZTOxuWSf1TyIANIhVrvuPan2X+wi3/19gsVh4SekVyv9fvI9rVWq8aDEajXY+/UNLIsuyEvjCpKt/c9SsXEGhDAAAAOCS0tJSNW7Xrp2HRnn//ffVeO7cuXbelkiSNHv27Pnz5wshioqK8vPzu3btatvggw8+UOOnnnrKzqCPP/741q1blXfC6enpjz/+uEbjYE3KmTNn2n/LpFTeCCHatGkzcuRIO/dixowZc+bMsT+cGwUHB48fP37Tpk2iIYUyRUVFS5Yssd9GWWfIaDSWl5e7nmfLZjKZTCaTt7OAF8iyzBOktWHSW7Oqqipvp4CmxqTXp7q62tspAGiWzGaz0NXx9txi9ulSVLcXyphMJl5SepHVauX8t1oVFRXeTgFNzRcmXX1bQaEMAAAA4H223+vrdA5eYJeVlT3xxBN2Gixfvrxv3741Lqyurj5+/LgS33vvvaGhofZH6dGjR1BQkPKx++HDh20LZYqLi9UlcEaMGBEcHGynH39//4cffvijjz4SQhiNxkuXLsXFxdlpHxUV1blzZzsNiouL1V2NHn30Ua1Wa6dxbGxsRESEuvhNE0hISFAKZUpKSvR6fWBgYJMNDQAAAAAAAABoGg5+DwoAAADAPj8/PzV2Zu10i111lsMr+ygphg8f7nAISZL69++vxOfOnbO9Kjc3V42HDRvmsKu7775bjXNycuw3dpib7R1JSEhwOLozd9aNwsPD1dh2oSAAAAAAAAAAQIvBijIAAACAS8LCwtT41q1bnhgiPz9fjbt16+bMTbp27Xr06FEhxPnz520vv3Llihp36tTJYT/R0dFqfPnyZYeD2m9gO3pkZKTD0e0vYNNQsizn5eVlZWWdPn36ypUr165dq7GXtu0q0GVlZR06dHDj6AAAAAAAAAAAX0ChDAAAAOAS24IP2/Va6hQWFrZ9+/YaF27bti0lJcXOrfLy8tR4zpw5Go1G/LgVqyzLaiCEsFqtSmCx/LAxeXl5uSzLkiQph1evXrVNxn62QoiQkBA1ti1zqVO7du3sN7h+/boa29/1SREREeGwjZOOHTu2bt26wsJCJ9sbjUZnmsXExOzbt89+mwULFgghgoKCbrvtNidHb4UqKysNBoO/v3+bNm28nQuaSFVVlV6vV2KNRtO2bVvv5oMmYzQala3N+avYepjN5rKyMvUwLCzM4W6VaDFu3rwphAgNDbVdhRGq0jZtyr2dA4DmyM/PT8iWui736f9h3f4CICAggJeUXmEwGCorK3kf16qo7+MUbdu2VT6fRItntVqVn4b6wqQHBAQogVsy8en/MgEAAADfZ7suy8WLFxvRg1artd+gurpajdXvlRvHZDKpsTMfUdm+66ix/kptDju0rT5x5v2M+ubHRevXr9+xY4dbuqpBq9U6/FRIqVKSJMnrbyZ9GWepFVIL+BRMfeuhzDXP91al9vOd2W9tmPT61Hh2AICTJFHfX4/W9VeFl5Tewlv4VoiX9PCFSXdvAhTKAAAAAC7p3LmzGhcVFVVVVTmzVkqDuPFHV7a/5VVXnbHDdjci18tWbEe3Wq0OK4ScXNbFvv3796tVMhqNZuzYsYmJiZ06dQoJCdHpdJIkqW/1CwoKZs6c6fqIAAAAAAAAAACfRaEMAAAA4JLAwMC4uDh1LZkzZ8789Kc/de8QHTp0UONNmzbZbofkSlfl5eUOu6qsrFRj27VzXB+9urra4Qr8N27ccHFEi8Wybt06JQ4LC3vzzTft7A/lTOUQAAAAAAAAAKBZY00kAAAAwFXjxo1T47S0NLf3f/vtt6txUVGRK1116dJFjQsKChy2v379uhrHxMS4MrSotfqOw/aXLl1yccSCggK11mfOnDl2qmTEf99ZAAAAAAAAAECLRKEMAAAA4KqhQ4equyOdPXs2Ozvbvf3Hxsaq8YkTJ1zpqlu3bmp8+PBhh+2PHj2qxt27d3dlaPHfpTbffPONw/YHDhxwccT8/Hw17t27t/3GLp5bAAAAAAAAAIDvo1AGAAAAcJW/v//06dPVwxUrVhiNRjf2Hx4e3qdPHyX+8MMPzWZzo7uKjIxs3769Eu/du1ev19tpbDKZtm/frsT+/v5xcXGNHlcdPTQ0VIm3bt1qtVrtNM7Ly3Nx+RwhhMFgUGOtVmu/5Z49e1wcDgAAAAAAAADg4yiUAQAAANxg9OjRPXr0UOLCwsIlS5a4t1Zm6tSpSlBdXb1hwwZXunr88ceVQJbl999/307LrVu3qoUm48aN02hcffsgSdKkSZOUuKys7Msvv6yvpSzL69evd3E4IYRaFSSEyM3NtdMyJSXFlQokAAAAAAAAAECzQKEMAAAA4AaSJC1dujQsLEw5PH369MyZMy9cuODwhgaDISsry2Gzfv36DRs2TIl37dqVkpJisVjs36S4uPjdd9+trKyscfnIkSPbtWunxNu2batvGZUDBw689957ShwQEKAWuLhozJgx/v7+Svy3v/3t7NmztdvIsrxx48aMjAzXh7Pd7Omtt96qsxRGluXNmzfv2rXL9eEAAAAAeE7b0M5Tx22MirjD24kAAACgeaNQBgAAAHCPNm3arF69Ojo6WjksLi6eP3/+008/vW/fvry8vOrqalmWlatMJlNpaWlmZubq1asfe+yxw4cPO9P/3LlzO3bsqMTbtm2bMmXKzp07r127pi5dY7VaKysrL1++vHv37t///vfTpk1LS0urvb2RVqv985//rB6uXr16+fLlly9fVopILBZLfn7+ypUrX331VbXN//7v/wYGBjbmpNTi7+8/f/589fDZZ59NSUkpLCxU8jQajdnZ2QsXLkxPTxdCjBs3zsXhQkNDhw4dqsR5eXnJyckZGRnqhlNVVVUZGRnz589PTU0VQkycONHF4QAAAAAAAAAAPk7n7QQAAACAliM8PPytt976+9//vm/fPuWS3NzcVatWOXPbdu3aTZ8+vW/fvvU1CAgIeOONN5YtW5aZmSmEqKioWLduXePy7NGjxwsvvPDCCy8o5SlHjhw5cuRIfY3nzZs3cODAxg1Up8TExKlTp27cuFE53LZt27Zt22o3mz17dkxMzMcff6wcSpLUuOFmz56dkZFRUVEhhLh69aptkZCt5OTk+Pj4LVu2NG4UAAAAAAAAAECzwIoyAAAAgDv5+/vPmTNn9erViYmJTt6kX79+y5cvf/vtt4cOHWq/HCQwMPDFF1/805/+FB4ebr9PSZKSkpLefPPN0NDQOhskJCT861//6t27t51OunXrtn79+vvuu8/RPWiwiRMnLlmypL5VarRa7cKFC0eNGmW7HI5O18gq/+Dg4LVr1/bq1au+BoGBgc8///zo0aMb1z8AAAAAAAAAoBlhRRkAAADA/bp27frcc89VV1dnZ2d/++232dnZV69evXHjhtVqDQoK6tSpU2xsbJcuXXr27Nm9e/fg4GDne5YkafDgwRs3bszNzT127NiFCxeys7Nv3bolhIiKiuratWv37t0HDBjQq1cvPz8/+121a9duxYoVhYWFX3311ZkzZ86ePVtRUREcHHzHHXf07dt3yJAhXbp0ceks2DVw4MD333//66+/Pnr0aEZGxq1bt9q2bduzZ8+hQ4cmJiYqNTSlpaVq+5CQkEaPFR4e/sorr1y4cGH//v1ZWVl5eXlCiKioqL59+yYmJiYkJDg8VwAAAIDbadS/nE4AACAASURBVIKC/Dp28HYWHhQc4h/ZoY23s0ATsVqtsixrNJpGrwYK54W08e+sqeNtbFigX4iu6Z50yqQrsSRJGk3NH+dLkiSC26uHsik09PZoNyYQ2N7Bj4gAAKgPhTIAAACApwQFBcXHx8fHx7u9Z0mSYmJiYmJiXO8qKipq/Pjx48ePb9zNo6Ojt2/f3rjb6nS6YcOGDRs2rL4G+fn5ahwUFFRnm8DAQGcSkCSpV69edtaVEa7dFwAAAKChwu5NDLvX2XUom42Q99RwxAM9li171Iu5oCmVlZUZjcagoCBXfuQAd7iryUYqLy83GAxKrNPp2rZtW0ejrg+rYYgQE8c2TWoAADjA1ksAAAAAfNTBgweVIDY2ll8lAgAAAAAAAABcx4oyAAAAQEt2/fr1mTNnKvHSpUv79+/v3Xz0ev3kyZOVePbs2SNGjKivZXFx8cWLF5V41KhRTZEcAAAAAAAAAKClo1AGAAAAcCeTyfTYY4+5q7fU1NTg4GBXepBl2WKxuCsft1DzsVqt9bWRZXnNmjXq4aBBgzyeFgAAANBA+u8uXX35Lfttwl66Tw422l6yO699bkWVezNpY2l/7LTs3j4bx2j5Txq5VZc+v7LbxQ5/dvX74IoiFzvxBFn4fbogz9tZ+BCLxSLLskaj0WjYyqC1UCZdiSVJ0mq1je6q3x8mxk2u94c0AAC4HYUyAAAAgJv5WmFKs2OxWP7xj38cP35cOUxMTIyOjvZuSgAAAEBtst5QfT7HfpsQ6S6Ltdz2kuvVQZcrStybSScp+Mw1s3v7bByr/J9CGYO1usRww8UOLZWFouSyi514gqQNKD6e7e0sgBZCX3jL2ykAAFoXCmUAAAAAeMdnn30WHR0dExPTpk0bSZIsFktZWdk333yTmppaWFiotNFqterWUQAAAAAAAAAAuIhCGQAAAMCd/Pz8tm/fbqfB/v37X3vtNSV++umnk5KSmiQvX3T27NmFCxfaaaDT6VasWNGuXbsmSwkAAAAAAAAA0LJRKAMAAAA0Kdv92tm73Y6EhIQ//vGPoaGh3k4EAAAAAAAAANByUCgDAAAAwDuGDh0qhMjPz79582Z5eblOp2vfvn3v3r179+6dmJjIQjIAAAAAVGfybt017+N9S+8f1qeDt3MBAABA80ahDAAAAADvGDhw4MiRI72dBQAAAIBmQBbCZLHKsrfzAAAAQPNHoQwAAADg04qKig4dOnT27Nlz585VVlYGBgb26tWrb9++Q4YM6dSpk1dSslgsp0+fPnXq1JkzZ3Jzc81mc0RERP/+/e+8885Bgwb5+/u7ayBZlnNzc7/99tszZ8589913N2/e1Ol0Xbp06dmz58CBAwcMGODGsQAAAAAAAAAArQGFMgAAAICPKi0tXbFiRWZmpu2FRqPx+PHjx48f37hxY1xc3MKFC6OiotwyXElJybPPPltUVKQczp49e8SIETXayLK8e/fulJQUg8Fge3lBQUFBQcGePXu0Wu306dPvv/9+SZJcSaaysvKzzz7bsmVLWVmZ7eVGozE7Ozs7O3vnzp2SJM2aNSspKcnOWAcPHnzttdeUODU1NTg42M6gmZmZixcvVuL169dHRka6chcAAAAAAAAAAD5I4+0EAAAAANQhMzPzySefrFElU8PFixd/85vfHDp0yPXhLl26NGPGjGvXrlksFlmWly5dWrtKpqqq6plnnlm7dm2NKhlbFotl7dq1y5Yts1gsruSzYMGClJSUGlUyNciyvHr16hdeeMFqtdppY/mRM+OqjWWWdAcAAAAAAACAlogVZQAAAACfc+nSpUWLFqmH8fHxU6dOjYmJ8fPzM5vNV65cSU1NPXLkiHLtyy+/vGzZsvj4+EYPd/To0RdffFGJQ0JCXn311c6dO9doYzAY5s6de/36deUwMjLyiSeeGDBgQFhYmCRJBoMhOzt7w4YNly9fFkIcP3585cqVCxYsaHRKipiYmIceeqhPnz4RERFBQUFCCIvFUlJScvTo0XfeeUev1wshTp48mZqaOmXKFBfHAgAAAAAAAAC0BqwoAwAAAPgWi8XywgsvqIdPPfXUsmXLevbs6e/vL0mSn59fbGzsokWLnn76abXN8uXLjUZj44bbunWrWiXTqVOn9evX166SEUKsWrVKrZIZM2bM+vXr77nnnrZt22o0GkmSAgMDBwwY8MYbbyQlJSltvvrqK/vL4dg3cODANWvWvPnmm0lJSV27dg0ODpYkSZIknU4XGRn54IMPvvvuu3369FEap6WllZSUNHosAAAAAAAAAEDrQaEMAAAA4Fu++OKLGzduKPHo0aMfffTROpslJSVNmjRJifV6fXp6ekMHslqtq1ev/te//qUc9u/ff9WqVaGhobVb5uTkHDx4UIkHDx48Y8YMrVZbu5lGo0lOTo6NjVUOX3/99UZvYDRt2rQuXbrYaRAQELBkyZKAgADlcPfu3Y0byEWyE7ySGAAAAAAAAACgTmy9BAAAAPiWDz74QI2feuopOy0ff/zxrVu3ms1mIUR6evrjjz+u0ThbCm80GpctW5aRkaEcJiUlzZo1q76bv//++2o8d+5cSZLq61aSpNmzZ8+fP18IUVRUlJ+f37VrVydTaqjg4ODx48dv2rRJCLF79+7Jkyd7aCA7vv/++8cee8x+m+7duwshqqqqiouLmySpZsxgMBgMBm9nAS+wWq08QVobWZaZ9Fbr1q1b3k4BTa20tNTbKXiKyYnHs8ViqXGJ8gLezZmYTELU+yq9WbPWOoE+gpJ4wI0qKyt5cdjsWCwWZq3VunnzprdTQFPzhUmvqqpSAqvV6npvrCgDAAAA+JDi4uKioiIlHjFiRHBwsJ3G/v7+Dz/8sBIbjcZLly45OUp5efmcOXPUKpknnnji6aefrq9Kprq6+vjx40p877331rnkjK0ePXoEBQUp8eHDh51MqXESEhKUoKSkRK/Xe3QsAAAAAAAAAEALQKEMAAAA4ENyc3PVeNiwYQ7b33333Wqck5PjzBBXrlyZPn16QUGBcrho0aIJEybYaW9bfzN8+HCH/UuS1L9/fyU+d+6cMyk1Wnh4uBq34F8qAwAAAAAAAADcha2XAAAAAB9y5coVNe7UqZPD9tHR0Wp8+fJlh+0zMjIWL14sy7IQIiAg4OWXX46Li7N/k/z8fDXu1q2bwyGEEF27dj169KgQ4vz58860r48sy3l5eVlZWadPn75y5cq1a9dq7Mtju8xmWVlZhw4dXBkOAAAAAAAAANDiUSgDAAAA+JCrV6+qcVhYmMP2ISEhamxbZFOnd955Jzs7W4kjIiJeffXViIgIh0Pk5eWp8Zw5c5QdmpRSG1mW1UAIYbValcBisSjty8vLZVmWJMnhKLUdO3Zs3bp1hYWFTrY3Go2NGMVFERERf/jDH+y3+eyzz4QQfn5+tpOFGgwGg9ls1ul0AQEB3s4FTcRoNJpMJiWWJMn+TnNoSSwWi7JZHn8VWw910hVBQUH1bfiIlqeyslIIERgYqNVqvZ2LRxiCgkoctdFoNNZal7g9E41WI4Ts9m59geSzfzEa8y4HQN38/f15cdiMmM1mg8Gg0WjUrbfR4imTrh4GBwc37uM+NDuyLFdVVYmWOOkUygAAAAA+RP3aWAih0zl+uW77IXuN1VZqU6tkhBC/+tWvnKmSEUJUV1erse23XB61fv36HTt2NM1YrggPD//Vr35lv82BAweEEH5+fnx+ZIfFYjGbzVqtlrPUelitVttCGaa+9TAajXq9nklvVUwmk+1LiICAAGde5KBlUAplAgIC/Pz8vJ2LZzhR41v7GwVPFMpoNVohzG7v1hf8f/buPL6pKn38+LlJ2qYpbVpaylagsoOWCggzIKCDWlY3VnEGUEYFQSwjIz/84iiIft3AAdkEZuogAkrZlDoFRcSFl1oKWIGyFaQFSqGFQtckTXJ/f9yv19glTds0Senn/Qev5yYn5zx3ablpnpzjsx/J+GhaQMPEW+aGxWQymc1mbukbFbPZ7PiHR71eT+17I2G325VCGV846erk4m7JhDelAAAAgA9x/AhBnZfFCce1h6qdiuPee+/96quvlG7fffddg8HQv3//aofw/EdZ+/btU6tkNBrNyJEj+/Xr16pVq6CgIJ1OJ0mS+rfy7OzsadOmeTg9AAAAAAAAAEDDRaEMAAAA4EOaN2+uxoWFhdXOPKx8SVfRqlUr543/9Kc/jR49+m9/+5vyre433nhj5syZ9913n+spbdq0qb4nQ7bZbKtXr1bikJCQZcuWhYWFOWnses/KslDOh3a9NwAAAAAAAABAQ8ScSAAAAIAPiYqKUuPs7Oxq21++fFmN27VrV2371q1br1y5skmTJsrmsmXLduzY4fwlt9xyixrn5uZWO0QdZWdnq9U/zz77rJMqGfH73a+UVqtV42rrYPLy8lzLEQAAAAAAAADQUFEoAwAAAPiQtm3bqvH3339fbfuUlBQ17tChgytDRERErFy5Ui1ASUhI2LBhg5P20dHRanzw4EFXhqiLCxcuqHHXrl2dN642n5CQEDUuLCx03vjo0aPVZQcAAAAAAAAAaNgolAEAAAB8SLNmzSIiIpT4888/V9ZIqkpZWdmnn36qxP7+/u3bt3dxlNDQ0JUrV7Zs2VLZ/Pjjj9esWVPVykRGo7Fbt25KvHnzZqvV6uIotWM2m9XYcT6YSlvu3r3beW/qwRRC/PLLL05aWiyWffv2uZQiAAAAAAAAAKDBolAGAAAA8C3jx49XAlmWN27c6KTl9u3b1bKSBx98UKOpwe19UFDQ0qVL1dWakpKSli5dWlWtzKRJk5SgtLR07dq1ro9SC46lLVlZWU5aJiQkVFu1ExkZKUmSEqtFRZX6+OOP7Xa7y2kCAAAAAAAAABokCmUAAAAA33Lvvfeq6yLt2LGjqklTvvnmmw8//FCJAwICxo4dW9OB9Hr94sWL1eWN9u7d+8Ybb9hstootb7311gEDBihxcnJyQkJCpc0c5eXlrV+/vri4uKZZqbU7Qojly5dXWgojy/LHH3+cnJxcbW9arVbN/MSJEz/++GOlzfbu3ZuYmFjTVAEAAAAAAAAADQ6FMgAAAIBv0Wq1//jHP9TNFStWvPbaa5mZmUrJiM1mu3DhwuLFixctWqS2mTt3rl6vr8VY/v7+r7/+es+ePZXN77//fv78+ZXWpsTHx6tLNe3YsWPixImfffZZTk6OxWJRHrTb7cXFxZmZmbt27Zo1a9aUKVMSExNrMUdLcHDwnXfeqcTnz5+fMWNGWlqaugRVSUlJWlra7NmzN2zYIIQYM2ZMtR1OnDhRjV977bVNmzZdv35dmTvHbDafPn16/vz5S5Ys0Wq1tSg2AgAAAOAZt7YJtW17fGD35t5OBAAAAA2eztsJAAAAACivY8eOCxYsWLBggVJo8uOPP1Y1FYoQ4rnnnuvdu3etx9JqtS+//PLbb7+9f/9+IURaWtrcuXP/93//19/f37FZQEDA0qVLFy5ceOTIESFEUVHR6tWraz2oczNnzkxLSysqKhJCXLp0ybFsyNGMGTNiY2O3bNnivLcWLVpMmDBh06ZNyuamTZvU2NEbb7xhsViYVwYAAAAAAAAAbm7MKAMAAAD4op49e77//vvqukiVatu27Zo1a+6+++46jqXRaObMmXPvvfcqm6dOnXruuedKS0vLNdPr9a+++uqLL75oNBqddyhJUlxc3LJly4KDg2uRj8FgWLVqVefOnatqoNfr58+fP2TIEBc7fOSRR6ZNm1bVsxEREStWrOjSpUuNEwUAAAAAAAAANDTMKAMAAAD4qLCwsLfeeuvKlSvfffddenr68ePHi4qKDAZDly5dunfv3r9//6ioKHeNJUnSzJkzg4KCPvnkEyFEVlbWs88++84775SrdJEkqW/fvh988EFWVtaBAwdOnz596tSp69evCyEiIyPbtGnToUOHHj16dO7c2c/Pry75GI3Gt99++/Tp0/v27Tt69Oj58+eVIbp3796vX7+ePXvWqH9JkoYPHz5w4MBvvvnmwIEDJ0+eLCkpiYiIuPXWW+++++7Y2FitVluXbAEAAAAAAAAADYUky7K3cwAAAACAm9bUqVMPHjw4ffr0KVOmeDsX31VUVGQymQICAmo3CxEaouLiYnXmKo1G07RpU+/mA4+xWCwFBQWSJIWHh3s7F3hIWVnZjRs31M3Q0FCdji/vNRZ5eXlCCKPRWMcqap9lLy4xnc103kbbwSjpfzez++USrdnu5kysZVpTqU/MH9+vc2tTaYkSz37hubkvza1jh2GmAq3N3cfLHex2kXvS7O0sfEhxcbHVag0ICNDr9d7OBR5SUlJSVlamxFqttkmTJrXuKviWFobWEW7KC/XOZDIVFRVptdqwsDBv5wIPMZvNhYWF6mbTpk01Gp+48UB9s9vt165dE75x0ouLi++66y4hxObNm9u3b1/H3nhTCgAAAAAAAABAjWmCDIaYbjV9VZvaf5TcAGik3+JArSFC36yuPda9h/qhEaK5j6bmHQUFBRaLJTAwMCgoyNu5wEMKCwvN5v8rF9PpdKGhod7NBwAA11HqBQAAAAAAAAAAAAAAgEaBGWUAAEDNXLly5fDhw+np6WfOnLly5YrdbjcajW3atImOju7evXuXLl2MRqPHkjGZTBMmTFDimTNnDh482GND+z4OTkN0+vTpOXPmKPHKlStbtmzp3XwaFq55AAAA+ILcH4/npZzwdhZVCooIbBJgc9Ig4A+tRPPflsrKM/mX2eScUk2ZXdaaNeZ0q/P+7TZZjY/lFH108EIdE0ZDYTKZbDabn5+fv7+/t3NpRIL9bMODTntrdD+zWbL+3+8EjUYjXw30ViZCCBHcUoq81ZsJAAAaFAplAACAq86ePbt8+fKMjIxyj+fm5ubm5h46dGjbtm1CiLZt2z7wwAMDBgwwGAweyMpm+78/8NntvrhmeY1MmDDBZDIp8datW6td8tNkMs2dOzczM1PZDAsLe+eddxznub2ZDk7joZ41WZadt6yW4xUlhIiLi3v66aerfdXly5enTZum9jBu3Lg6puFJXPMAAADwuou7DhxesM7bWVSp+0O3B18946RBxL/G2SyF6ubJ6xEFFtPBPMM1c2mzouDza687799q/e1W/IfM65l7TtUxYQBOtAv1Hxa50Vuj+wvhWBVV179i1I3Utr+gUAYA4DKWXgIAANWTZXnTpk2zZs2qWCVTUVZW1vLly135PB7l2BxU27ioqOjZZ589e/as0j48PHzp0qWsBg1Htt9LTk7Oy8ur9lWyLKsvodwEAAAAAAAAAHCTYUYZAABQvaSkpE2bNqmbMTExo0eP7tChQ5MmTTQajd1uLygoyMrK2rdv35dffunFPD2goKBg8uTJSvz888/379/fK2lcv349Pj4+Pz9f2YyKilq0aFEtpvCp6e74yO6j1tauXfvCCy94OwsAAAAAAAAAALyGQhkAAFCNy5cvr127Vt2cP39+r169HBtotdqwsLCwsLDY2NipU6fu3Llzw4YNHk/Tc9y4Mk7t5ObmxsfHFxUVKZsdO3Z8/fXXAwICatdbTXfH67uPuvj+++8vXrzYunVrbycCAAAAAAAAAIB3UCgDAACqkZiYqMbPPPNMuSqZcvR6/dixY0eMGLF58+b6T03o9fpPP/3UAwP5josXL/7tb38zmUzKZkxMzPz58/38/Cq2bIQHB65YuXLla6+95u0s6gXXPAAAAHATM13JPL70qU5PLm4SfZu3cwEAAEDDpvF2AgAAwKfJsrxnzx4l1mg099xzjyuvMhgMjz32WD2m1Vj98ssvzzzzjFol07dv31deeaXSKhnAUVBQ0ODBg5X4yJEjGRkZ3s0HAAAAAGpMlmWbVTC5KQAAAOqMQhkAAOBMQUGB3W5X4m7dumm1Wu/m05gdP3581qxZ6spHd91117x58zgjcIUkSY61a8uXL2flLAAAAAAAAABA48TSSwAAwJnS0lI1DgkJcW/nsixnZWX9/PPP6enpZ86cuXbtmk6ni4qK6tSpU+/evXv06OHv7+/eER2HPnr06DfffPPzzz9fvXo1MDCwS5cuffr0GThwoMFgqKdB6+LQoUPz589XN4cNGzZt2jRJkryXUc1cuXLl4MGDP/30U2ZmZl5enkajadasWfv27W+77baePXtGRka6a6D6u6jccs3YbLaDBw/+8MMPaWlp+fn5oaGhXbp06d+//x/+8If6u9oVoaGhDz300I4dO4QQZ8+ePXr0aExMjLs6t9lsx44dO3z4cHp6elZWltVqDQ8Pj4mJuf322/v06VPfu1Y7HrsmAQAAAAAAAAA+hUIZAADgjE73293CuXPn3NVtcXHxF198sWXLloKCAsfHLRbLqVOnTp069dlnn0mSNH369Li4OCflICaTacKECUo8c+ZMdXEZR5cvX542bZoSv/LKKzExMTk5OS+99FJOTo7juCkpKSkpKStXrpw9e/agQYMq9jN9+vRLly45zsPx1ltvaTSVzM+XmJjoeNzq7ttvv3377bfVzTFjxkycOLHaKhnnB6emu1Pr3S8sLPznP/+Zmppartn58+fPnz//9ddfCyG6dev2xBNPdOrUyfkeOeeui0q475op5+TJk6+88kphYaH6SF5eXl5e3v79+wMCAl544YVevXrVbJ9r6JFHHvnkk0+Uk7h8+fL33nuv7rVWsizv2rUrISHBbDY7Pp6dnZ2dnb17926tVvvUU08NHTq00rGSkpL+/e9/K/Hy5ctbt25d7Yg2m+3Pf/6zMlznzp3ffPNN9SlXfiEID16TAAAAAAAAAAAfxNJLAADAGaPRqMaXLl3Kzc11S7dz5sxJSEgoV9BQjizLK1asWLBggbr2U6Vsv6qqmSzLahshREZGxtSpUx0rHso1XrRoUXJyclUDOY7i2LMjJ9nWwu7dux2rZCZPnjxp0iQX6xucHJya7k7tdv/GjRtPPvlkxYqEco4fPz579mzH6YtqwY0XlbuuGUd79ux5/vnnHatkHJnN5vnz5yslGvXHYDD8+c9/VuJLly4dOHCgjh2WlJQ8//zzq1atKlcl48hms61atWrhwoWV/mgMHDhQPdS7d+92ZdD09PSSkhLlJaNHj644nPNfCJ68JgEAAAAAAAAAPogZZQAAgDN+fn5du3Y9ceKEsrlw4cLXX389KCjILZ23a9fu/vvv79atW3h4eGBgoBDCZrPl5+enpKSsW7fOZDIJIQ4dOrRhw4aJEye6ZcSjR48mJibKsty1a9dJkya1b98+MDBQluW8vLzExET1c/pVq1b169cvNDTULYPWxbZt2/7zn/+om9OnTx86dKj30qmxBQsWlJSUKHG/fv1GjRrVunVrg8EgSZLdbi8qKlIm8HCxQsIVbr+o3HLNHD169N1331U377nnnjFjxrRo0UKj0ZhMpoyMjDVr1mRmZi5evLhi5Yd7Pfjgg5s3b7ZYLEKIFStW9O7dW6vV1q4rs9kcHx9/+fJlZbNZs2aTJ0/u0aNHSEiIJElms/nUqVNr167NzMwUQqSmpi5evHjOnDnlOjEajTExMUeOHBFCJCUlTZ48udp8tm/frgQajaZnz541Tdvz1yQAAAAAAAAAwKdQKAMAAKrx6KOPvvTSS0p87ty5v/zlL6NGjRo8eHCrVq1qvW5L7969X3jhhaioqHKP63S6Zs2ajRgx4t57733ppZeOHz8uhEhMTBw5cmRYWFhd9kKxadMmIcSkSZNGjx6tJi9JUmRk5IwZM9q2bbt27Vrlwa1bt/71r391fO3q1auFENevX580aZLyyPPPPz9w4MC6Z1UpWZbXr1+fmJioPuLe4Wq6O7XY/YsXL2ZkZCjxo48++sgjjzg+q9VqjUaj0Wi87bbbpkyZ8umnn9Zhb4Sot4uqLteMwmazvfbaa+rmiy++2LdvX3UzMDAwJiZm6dKl77777t69e7du3Vqz3a6hgICAKVOmvPfee0KI/Pz8b7755k9/+lPtunr33XfVKpnhw4c/+eSTjjUuer2+R48eS5cuXbly5eeffy6E+O6774YNGxYTE1Oun9GjRyuFMlar9eeff3Ze+1JYWKhOBjN06FA/P78a5ezhaxIAAAAAAAAA4IMolAEAANW4/fbb+/Xr9/333yubNpstMTExMTFRq9X27t07Jiamc+fOUVFRwcHBrvc5ZcoU5w0CAgJefvnlyZMnK0u67Nq1a8KECbXeBUeDBw8eM2ZMpU+NHDlyx44dyvJSu3fvnjJlSsVKII1GU2nsdkuXLt23b5+6OX/+/F69erl9lJruTo3anz59Wo2dT5QSGBg4fvz4akd3rv4uqjpeM3v27CkuLlaTdKySUWk0mvj4+HPnzp09e9aVlOpiyJAh69evV1JavXr1gAEDalpuIoTIyMj49ttvlbhv375Tp06ttGxOo9HMmDHj1KlT586dE0IsWbLkX//6V7mWsbGxWq1WWZhp27Ztzgtl9u/fr8bDhg2radr1cU1euXJl+fLlztsoR9tsNle19haEEFarVQhRVlbGUWo8lJOukGWZU994KKvjcdIblXJLIpaUlNS64B4NVElJSb2+e/I1TlYm9QXVrhdss1kdN2VZFkLY/+9fZ4vYAvA85WcTQoiysjIzt5eeovxXYrfbuaVvPMrd0hcVFXFL30jIv/5H4wsnXZ0pvNwFWTsUygAAgOrNmTNnzZo1ycnJjg/abLaUlJSUlBRlMyIiIi4ubvDgwZGRkW4Z1GAwjBo1SpnPw42FMpXO+aGQJGnUqFHK1Ckmk+natWvh4eFuGbQW1CoZSZLeeOONbt26eSuTWrt69aoS6PX6WpRi1IfaXVR1vGY++ugjJQgMDLz//vuddDVjxozZs2e7klJdaLXaadOmLV68WAhRUlKya9cuJ1lVZePGjWocHx/v5D2SJEkzZ85U9is3N/fChQtt2rQpl8/999+/Y8cOIURaWlpBr+mRowAAIABJREFUQUFISEilXcmyrM6xFBER0bZt25qmXR/XZFFR0X//+1/nbTp06CCEsNlsPv6RiS+w2+0cpcZJlmVOfSPESW+0lFUg0aiUlZV5OwWPqrYSxbtkezUfq9vtsmNZkyxk8etnJLI7PpMA4EYyhTK/4u2k5/E+rjHjlr4R8oWT7t7fOY2okB8AANSaVqt9+umn3333XSeTPeTl5W3cuPGJJ5545ZVXCgoK3DKuOlx+fr7JZHJLh85nvnGsR7l27VrdR3QLH6kyqSn1UJtMJnVKFa+r6UVVx2vm6tWranHGQw895Lg4UUUdO3asqkbEvQYOHKgW9Lz//vs1/eEqLS1V1z+66667qp1NqmPHjoGBgUqszk3laMiQIWqsTlRT0YULF5TJe4QQ48aNq8U3GHzzmgQAAAAAAAAAeBKFMgAAwFXR0dELFixYv3793//+9759+1b1kX9qauqkSZPS09PrPqLRaFTjGzdu1L3DPn36uD7i9evX6z5irbVs2VIJZFmePXv2mTNnvJhM7XTq1EmN33jjDXVeRO+q6UVVx2tGWXJIcccddzjvSpKku+++u9qU6k5ZEUmJrVbr9u3ba/Ryx50aOHBgte0lSYqJiVHiEydOVGzQunVr9YLfvHlzVd+Hc5y4ZcCAAS7n+xvfvCYBAAAAAAAAAJ7E0ksAAKBmjEbjoEGDBg0aJMtyYWFhdnb2sWPH9uzZc/HiRbWN3W6fO3fu2rVrmzdv7qQrWZbPnz9/9OjRY8eOXbx4MScnp9zUeY4rTRYUFDjvzRUtWrRw3sDf31+NvTuX4KJFi+bNm6dUJCi1Mu+880779u29mFJNRUdHt27dWrkw0tLSHnnkkQEDBgwbNqxDhw4Gg6GeBnX7RVXHayY7O1uNXVmVTFmjxwN69+6tnp2PPvrogQceCAoKcvG1Fy5cUGMX1z9q06aNskzbyZMnK20wfvz4JUuWCCHy8/MzMzOjo6PLNSgrK1NXf7vjjjuaNGniYraO6uOaDAgI6Ny5systNRqNTsf7ryrZ7Xa73a7RaDQavs7RWCgnXd3kB6TxkGVZWZSEk954qCddodVqvb62PTzGarWKxnfSffx+ptpTUenJUh5sVOcRaBD4mVRJksTtpcco7+YkSXI+dzJuJtzSN2bKLb0v/I51bw7e3x8AANBASZIUEhISEhLStWvX0aNH5+TkvPfee4cOHVIbvP7668on35U6cODA6tWrr1y54uJwbilbCQgIqHsnnhEUFPT222///e9/z8zMFELY7fbnnnuuYdXKSJK0YMGCmTNnlpaWKo9899133333nRAiPDy8b9++ffr06datm+v1GdWqj4uqjtfMpUuX1NiVUoyIiIi6DOc6SZKeeeaZF154QQghy/LGjRuffPJJF197/vx5NX722WeVjwGUaWBkWVYDIYTdblcC9Y10YWGhLMsV30j/8Y9/VOPk5OSnn366XIO0tDT1A/WHH37YxVTLqY9rsnXr1hs3bnTeZurUqUIIvV4fGhpau8wbg6KiIpPJ5OfnV+1iXrhpFBcXqz+MGo2GH5DGw2KxFBQUSJLESW88ysrKHGfyCw4O9oW/scIz8vLyhBBNmjRpoOvJ1o5er/d2Cs5oq/sB1Ol0NodNjaQRQmgkSQih0fCBKOBbfLwyz5P8/f0DuL30FJPJVFRUxPu4RsVsNhcWFqqbRqOR3z+NhN1uv3btmhAiJCTE6yddfU/hlky4ggEAgHu0aNFi/vz5o0ePVh85e/as43QajtasWbNw4ULXCxoap4CAgLfffludsUOplXFc9cb3RUZGvv/++3FxceUev3r1anJy8iuvvDJhwoRXXnklKyur7mP55kXlWIvjyu27J2u5br31VnUqlJ07d+bn57v4QvWDbSGEyWQqKSkpKSkpLS0tLS01mUxms9lsNlssFovFYrVabTab49dNqmIwGO68804l3rVrV1lZWbkGiYmJSqDX67t37+5iqhV58poEAAAAAAAAAPggvr0BAADcaeLEiXv37lU/cU9PT2/VqlW5Nvv27UtKSlJijUYzcuTIfv36tWrVKigoSKfTSZKkzjaRnZ09bdo0jyXvg/R6/aJFi2bPnq3M4WG322fNmrVkyZKKC9P4LIPB8Mwzz0yZMuWnn37av39/SkpKubWQUlNTU1NTR40aNXny5FrP2OmzF5Xjwkx2u73aCWnLHZz6NmPGjPj4eCVOSEiYPXu2K6+qp6+AP/jgg/v37xdCyLJ8+PDhvn37qk/l5+cfP35cbVbHeX09c00CAAAAAAAAAHwThTIAAMCdNBrN8OHDN2zYoGz+8ssv5RrYbLbVq1crcUhIyLJly8LCwqrqzZWJKG56er1+8eLFjrUyf/vb35YsWdKuXTtvp1YDBoOhf//+/fv3l2X5+vXrZ8+e/fbbb7/++mv1FG/btq1t27aDBw+uRee+fFE1b95cjUtKSoxGo/P2V69ereeMfueWW27p1auXsmLa119//ec//7lFixbVvspxpzZt2uSuxbO6dOkSFBRUXFwshNi8ebNjoczXX3+txvfdd59bhqvXaxIAAAAAAAAA4LNYegkAALhZVFSUGjsu0aLIzs5WPggXQjz77LNOChqEEJcvX3Z7eg2RUiujHlibzTZr1qwGujSMJElhYWG9e/eeNWtWYmLilClT1KfWrFljt9tr0acvX1StW7dWY1eWhTp79mx9plOJqVOnqvF7773nyktuueUWNc7NzXVXJpIkjRo1SolPnTqlTkwly/KWLVuUuF27dpGRke4aUR3X7dckAAAAAAAAAMBnUSgDAADcrKioSI0rzp9x4cIFNe7atavzrg4ePOjGxNxOlmWPjaXX69955x216sJms8XHxytzzLhLTXen7ruv0+keeuihuLg4ZbOkpOTatWu16MeXLyrHRbKUiVuc++qrr+oxm8q0bNly0KBBSnzo0KFz585V+xLHnXLv8XScvkU9FGfOnCkoKFDicePGuXG4itx1TQIAAAAAAAAAfBaFMgAAwM0OHDigxp07dy73rNlsVmOtVuukH7PZvHv3bvfmVncazW+3T1ar1ZND6/X6f/7zn+6tlanp7tTH7vfv31+NCwsLa9GDL19UERER6gw327dvd77wU0ZGxo0bNzyS1+/89a9/VeOVK1dWuzqV0Wjs1q2bEm/evNmNPwjh4eHqL42tW7cqxVhJSUlqA8f1mOpP3a9JAAAAAAAAAIDPolAGAAA4U1JSsmPHjrKyMhfbZ2dnp6SkqJsVp/eIiIhQY+eLByUkJHi4EsUVer1ejd246Izro7/zzjutWrVSNq1Wa3x8/MWLF+vSoRq7sjv1sfuOM3Y0adKkFj34+EU1fvx4JSgpKdm1a1dVzWRZXrlypaeS+p2wsLARI0Yo8YkTJ7744otqXzJp0iQlKC0tXbt2rRuTGTt2rBIUFhZmZGSYzea9e/cqj9xzzz0BAQFuHKsqdb8mAQAAAAAAAAA+i0IZAABQjYSEhAkTJmzdurWkpMR5y5ycnDlz5qib/fr1U+fSULVr106Nly9fXmnVgizLH3/8cXJych2yri86nS4oKEiJHefO8ZjAwMB//vOf7qqVqenu1Kj95s2bjxw54nx6ktLS0vXr1yuxXq93LHlxnY9fVHFxcQaDQYlXr159+PDhim2UKpmMjAzPpvabRx99VI23bdtWbftbb711wIABSpycnJyQkFDtPDR5eXnr168vLi523qxXr16SJClxUlKS42U2cuTIahNzzmPXJAAAAAC30zeP7vXGl01uifF2IgAAAGjwKJQBAADVs1gs69ate+SRR1599dXvvvvu4sWLJpNJeUqW5ZKSkhMnTixZsuSpp54qKChQHg8ODo6Pj6/YVXBw8J133qnE58+fnzFjRlpamtpbSUlJWlra7NmzN2zYIIQYM2ZMve9bzQ0ePFgJTpw4sXPnzsLCQmWBGI9RamVatmypbFoslrrUytR0d1xvf+bMmXnz5o0fP37NmjVpaWnXrl1Tpyay2Wz5+fn79u176qmn8vPzlQenTZumVkjUiI9fVDqd7oUXXlA3X3755VWrVuXk5NjtdiGExWI5fvz47NmzlTWhHnzwQQ+npwgODp4wYUKNXhIfH69ehDt27Jg4ceJnn32Wk5NjsViUB+12e3FxcWZm5q5du2bNmjVlypTExERlr53w8/MbOnSoEn/11Vf/+c9/lNhoNLZv375GGVbksWsSAAAAAAAAAOCzdN5OAAAANCQpKSmOKytVJSwsbNGiReosGuXMnDkzLS2tqKhICHHp0qV//OMflTabMWNGbGzsli1b6pJwfXjooYd27typxGvXrlXWndFoNOoH6omJiTpd/d5lKbUys2bNysnJEb/Wyrz77rvqTDOuq+nu1LS9xWJJSkpKSkpynsaQIUP+9Kc/1TR5lY9fVLGxsU8//fSqVauUzeTk5Erntpk5c2Z0dPQnn3zi2ez+z8MPP5yYmOj60lQBAQFLly5duHDhkSNHhBBFRUWrV692SybDhw9Xj8+VK1eUYNy4ce6qWfHMNQkAAAAAAAAA8E3MKAMAAJwxGAwJCQlTpkxp3bq1K+0DAwOffPLJf/3rX82aNXPS56pVqzp37lxVA71eP3/+/CFDhtQm4/rXrFmz//f//l+5z+ztdrvtV55Jw2AwLFmypEWLFsqmUiuj1M3USE13x+27Hxwc/Pzzz0+fPr0uZRC+f1ENGzbs9ddfVxeuKken082bN+++++7zcFaO9Hr9448/XtOXvPrqqy+++KLRaHTeUpKkuLi4ZcuWBQcHV9tt27ZtKy54NGjQoBrlVhduuSYBAAAAAAAAAL6JGWUAAEA1IiIiHnrooYceeqiwsPD06dMnT548d+7chQsXLl++XFZWptfrW7ZsGRUV1bFjx9jY2LZt22q12mr7NBqNb7/99unTp/ft23f06NHz588LISIjI7t3796vX7+ePXv6+fnV/57V3p133vnRRx/98MMPBw4cOHfuXE5OjuvzcLiRUisTHx9/+fJlIYTZbJ45c+ayZcvU6hkX1XR3XGw/Z86c3NzcrKysc+fO/fLLL5cuXcrNzS0tLbXb7UajsW3btt27d+/Zs2fnzp01GjdUb/v+RXXrrbd++OGHBw4c+OGHHw4fPnz9+vXQ0NBOnToNGDDgj3/8o16v9256QoihQ4d++OGHpaWlrr9EkqS+fft+8MEHWVlZBw4cOH369KlTp65fvy6EiIyMbNOmTYcOHXr06NG5c2fXj78kSePGjVu5cqX6SExMTLW1OK7w8DUJAACAxim8V6fOT47wdhZVCm3fNETTwUmDAG1LoYtSN1sZAsMD7ELSmay2gBJdh7gqvxWj+ChZEr9+gaJLZNA9sTWe9xQNlMVisdvtOp2uvifZhaPwAFkKvctbo5eVlanfmNJoNP7+/t7KRAghmjr7zQYAQDmSLMvezgEAAAAAblpTp049ePDg9OnTp0yZ4u1cfFdRUZHJZAoICHBl2iHcHIqLi9XKPI1G07RpU+/mA4+xWCwFBQWSJIWHh3s7F3hIWVnZjRs31M3Q0FA+Q2088vLyhBBGo9HrZevwmKCgoJKSEiV+8cUXFy5c6N184DEFBQUWiyUwMLCquVRx8yksLDSbzUqs0+lCQ0O9mw88xmQyFRUVabXasLAwb+cCDzGbzYWFhepm06ZN+ZpZI2G3269duyZ846QXFxffddddQojNmze3b9++jr1xBQMAAAAAAAAAAAAAAKBR4NsbAAAAAAAAAAB4QVlRqWy1aTRC0khu6VDSa4W2Bt+PNVklm909Q1dUVmYrKbbUU+eoJ1p/ofn9ktpam00jql+aQLKWSlaLZBWirL6uKPgQjU5ovbrQEgAAdUOhDAAAAOA2EyZMMJlMjo8kJCS4Pg/tvHnz0tPTHR956623OnXq5Lb8AAAAAPiSrx999XzSD/0f62U7c9otHUZ8Ms7mX1h9u18t+eL2PSeK3TK0wmS1q/HuT05eOvGxGzuHBwx7rqku6rrjI/2v32iRmVrtC4OEUJZcslfTEDcDqfNw6dYx3s4CAIDaY+klAAAAwG1sFXz99dcuvvb69etHjhwp9/J6zRYAAAAAAAAAgMaGQhkAAACgHm3ZskWWq5+kWgixb9++es4FAAAAAAAAAIDGjkIZAAAAwP00Go0kSUKIgoKCs2fPVtteluUtW7Yosb8/63wDAAAAAAAAAFAvKJQBAAAA3M9gMMTFxSnxZ599Vm37M2fOFBQUCCE0Gs3w4cPrNzkAAAAAaGhuFF78cOfjV66e8nYiAAAAaPAolAEAAADqhVrvsmfPHovF4ryxWkwzZMiQ5s2b129mAAAAANDQyELY7TYhXFrZFgAAAHCCQhkAAACgXkRHR4eFhSlxamqqk5Zms/nLL79U4mHDhtV7ZgAAAAAAAAAANFY6bycAAAAA3JwkSRozZszatWuFEFu2bOnfv39VLdUymrCwsHbt2h07dqymY+Xm5u7fv//48eMnTpwoLi7W6/WdO3fu3r17//79W7VqVYvkZVk+evToN9988/PPP1+9ejUwMLBLly59+vQZOHCgwWBwvZOsrKyff/45PT39zJkz165d0+l0UVFRnTp16t27d48ePfz9/WuUld1uP3ny5E8//XTixIkzZ86YTKbg4OCOHTvefvvtf/jDHyIiIlzpxO3HCgAAAAAAAADQgFAoAwAAANSXQYMGKYUyGRkZV69eDQ8Pr7RZYmKiEowdO1aSpBoNcePGjbfeeuvIkSOOD1osltTU1NTU1A8++KB9+/b/8z//ExkZWVUPly9fnjZtmhK/8sorMTExOTk5L730Uk5OjmOHKSkpKSkpK1eunD179qBBg5xnVVxc/MUXX2zZsqWgoKBcYqdOnTp16tRnn30mSdL06dPj4uJc2WVZlvfs2fOvf/2rtLTU8fGrV69evXr1xx9/XL169R133PHUU0+1aNGiqk7qfqwAAAAAAAAAAA0dSy8BAAAA9cVoNN56661K/NVXX1XaJi8v7+zZs0o8cODAGvV/5MiRxx57rFzlRzlnz5594okn9u/fX1UDWZZtvxJCZGRkTJ061bFKplzjRYsWJScnO09szpw5CQkJ5apkKna1YsWKBQsW2O12570VFxfPnj172bJl5apkyklNTX3qqaeqetYtxwoAAAAAAAAA0NAxowwAAABQj8aMGaMspbRt27bRo0dXnD3lyy+/VIKYmBij0eh6z+fOnZs3b566GRsbO2nSpHbt2vn5+Vmt1osXL27YsOHHH39Unn3zzTcXLlwYGxvrvM+jR48mJibKsty1a9dJkya1b98+MDBQluW8vLzExMTdu3crzVatWtWvX7/Q0FDnvbVr1+7+++/v1q1beHh4YGCgEMJms+Xn56ekpKxbt85kMgkhDh06tGHDhokTJ1bVSWlp6cyZM/Py8pRNvV4/bty4AQMGhIeH63Q6WZYLCwuzsrK++OKLffv2efJYAQAAAAAAAAAaImaUAQAAAOpRbGysVqsVQhQVFZ0+fbrcs3a7ffv27Uo8evRo17u12WwLFixQNx9//PGFCxd26tTJ399fkiQ/P7/o6Oh58+Y988wzapvXXnvNYrE473bTpk1Wq3XSpElvvvnmbbfdZjAYJEnSaDSRkZEzZsx48skn1ZZbt2510k/v3r1Xrly5bNmyuLi4Nm3aKP1IkqTT6Zo1azZixIj169d369ZNaZyYmJifn19VV4sXL1arZGJjY//zn/+MGTOmRYsWfn5+Sm5GozEmJua5555bv379sGHDPHasAAAAAAAAAAANETPKAAAAAPVIp9MNHz58586dQoikpKTnnnvO8dmTJ0+WlJQIIbRabY2mMNm7d+/Vq1eVeMiQIQ8//HClzeLi4i5fvpyYmCiEMJlMW7dunTBhgvOeBw8ePGbMmEqfGjly5I4dO3Jzc4UQu3fvnjJlSsUJchRTpkxxPkpAQMDLL788efJks9kshNi1a1eliR09ejQlJUWJO3bsOH/+fKXqqFJGo/Hpp5+u+Hj9HSshRElJifPlnIQQVqtVCGGz2crKyqrtsNFSVuCSZZmj1HiUW3aNU994KCv9CU56Y6L8V+i4Kcuyt5KBV5S7BuBI+XFw4w9FTXvi5xHlVbwkuEhQgd1ut5eVOd7S826uUeGWvhFST7qirKxMo2E+jkZBvVe0Wq1V/SnYY9TfOW65g6VQBgAAAKhfQ4cOVQpl9u3bN336dL1erz716aefKsGIESOclIBU9NFHH6nx448/7qTl+PHjt2/frnw4sXXr1vHjxzt/H/vXv/61qqckSRo1atTq1auFECaT6dq1a+Hh4a7nXI7BYBg1atSmTZtE1YUyGzZsUOM5c+bU6BCp6u9YCSFycnJmzJjhvE2HDh2EEGaz+caNG64m3VhZLBbm8mmc7HY7PyCNjSzLnPRGq6ioyNspwNOKi4u9nYLvUv7cb7NZ3fWxg91uq76RA8qYUI7NZiv3uZHVVrOLCo2B2Wwu+f29nM1m4+6useGkN2aFhYXeTgGeVlBQ4O0UhPKNU+GmQhlKvQAAAID6FRUV1axZMyU+cOCA+nhJScn+/fuVeMiQIa53mJeXp0zrIoQYPHiwwWBw0tjf3/+BBx5QYovFcu7cOSeNe/bsGRwc7KSBul6SEOLatWsuJuxkOCXIz883mUzlni0sLDx27JjaskWLFrUYov6OFQAAAAAAAACgIaJQBgAAAKhfkiSNHTtWiZWVfRQ//PCDEkRGRkZFRbneYVZWlhoPGDCg2vZ//OMf1TgjI8NJyz59+jjvymg0qvH169erHdr13ip+CcmxTuW+++6r3RD1d6wAAAAAAAAAAA0RSy8BAAAA9e7OO+9cuXKlEOLcuXO5ubnKBDObN29Wnh07dmyNVni9ePGiGrdq1ara9o5zsWRmZrrYslL+/v5qXO0SObIsnz9//ujRo8eOHbt48WJOTo7ZbHZs4LiceUFBQfPmzR2fdaxxiY6Odj5WVervWAEAAAAAAAAAGiIKZQAAAIB6Fxwc3KtXr0OHDgkhvvzyy0ceeeTSpUvZ2dnKs3feeWeNert06ZIah4SEVNs+KChIjR0LRyoKCAioUSZOHDhwYPXq1VeuXHGxfcWyG/X4iN/PPVMj9XesFFFRUR999JHzNq+//roQQq/Xh4aGVttho1VSUmKxWPz8/BxPAW5upaWlavGcRqNx5ScUN4eysrLi4mIhBL8VGw+r1VpUVKRuBgcHa7VaL+YDT1LmIGzSpIlOxx+iK+fn5yeE0Gp19mqbukar0dpq0l6n0wlRTQU8GpWKv6J1/NJGBQEBAf6hocr7OOURrVbrfCln3EzMZnNpaSnv4xoVi8VSUlKiboaEhGg0LFzTKNjt9oKCAuEbJ125cxZC1OhLp1Xh/QkAAADgCQ8//LBSKLNjx45x48Z9/vnnyuN33HFHkyZNatRVWVmZGrvykYPje5hyc7rUkzVr1iQlJdWxE8fSGfVdUE3V97Hy9/fv2LGj8zbKuBqNhs+HnFCOPEepUSn35xVOfeOhTCcmSRInvfGQZdlxU6vVcvYbG066E8pf+d3yt/5fe6xNAsBvKl4SXCSoQKPRSDqd4y8Q7u4aFavVKjjpjYzN9rtCXJ1O5/WaCXiGOiO4L5x09XcOhTIAAABAg3Hbbbf5+/srX79ITU3duXOn8vjDDz9c064cq0bKvU2tlOMKR26cM6Yq+/btU6tkNBrNyJEj+/Xr16pVq6CgIJ1OJ0mS+k4mOzt72rRpVfXjuMxTWVmZXq+vRTI+fqwAAAAAAAAAAB5GoQwAAADgCVqtduTIkdu2bRNCvPHGG8qXbwICArp3717Trpo3b67GhYWF1S5Vo6xwoWjVqlVNh6sRm822evVqJQ4JCVm2bFlYWJiTxk66cky1oKCgdnM4+/KxAgAAAAAAAAB4HnMiAQAAAB4SFxenBEqVjBDi/vvvr7gAfLWioqLUODs7u9r2ly9fVuN27drVdLgayc7OVmtNnn32WSdVMuUSq6ht27ZqnJmZWbt8fPlYAQAAAAAAAAA8j0IZAAAAwENatWrVsmVLx0fuu+++WvTjWEHy/fffV9s+JSVFjTt06FCLEV134cIFNe7atavzxgcPHnTybHR0tBrv2bOndvn48rECAAAAAAAAAHgehTIAAACA54wdO1aNW7duXa5uxkXNmjWLiIhQ4s8//9xkMjlpXFZW9umnnyqxv79/+/btazGi68xmsxo7nyzHbDbv3r3bSYPg4GC11CY1NdX59DNV8eVjBQAAAAAAAADwPAplAAAAAM+59957P/3VqlWrat3P+PHjlUCW5Y0bNzppuX37drV45cEHH9Ro6vctgFqVIoTIyspy0jIhIUFdgqoqEydOVOPFixfb7fZapOSzxwoAAAAAAAAA4Hn85RcAAABoeO69996wsDAl3rFjR1VTs3zzzTcffvihEgcEBDjOZ1NP2rVrp8bLly+vtBRGluWPP/44OTm52t5iYmLuuOMOJT5x4sSrr77qZEqY4uLif//73xUf99ljBQAAAMB1ocGtJz34QWR4F28nAgAAgAaPQhkAAACg4dFqtf/4xz/UzRUrVrz22muZmZlKYYrNZrtw4cLixYsXLVqktpk7d65er6/vxIKDg++8804lPn/+/IwZM9LS0tTqlpKSkrS0tNmzZ2/YsEEIMWbMmGo7/Pvf/66WuaSmpj7++OM7d+7My8uz2WxCCFmWi4uLT548uWLFigkTJnzyyScVe/DZYwUAAAAAAAAA8DydtxMAAAAAUBsdO3ZcsGDBggULlAWJfvzxxx9//LGqxs8991zv3r09k9jMmTPT0tKKioqEEJcuXXIsUnE0Y8aM2NjYLVu2OO/NYDAsX7587ty558+fF0IUFxevXbt27dq1NUrJZ48VAAAAAAAAAMDDmFEGAAAAaKh69uz5/vvvd+3a1Umbtm3brlmz5u5Qja8kAAAgAElEQVS77/ZUUsJgMKxatapz585VNdDr9fPnzx8yZIiLHQYHBy9btmzKlCk6nbNC/9jY2JUrV1b1rG8eKwAAAAAAAACAhzGjDAAAANCAhYWFvfXWW1euXPnuu+/S09OPHz9eVFRkMBi6dOnSvXv3/v37R0VFeT4ro9H49ttvnz59et++fUePHlUmg4mMjOzevXu/fv169uzp5+dXow41Gs1DDz10//33p6Wl/fTTT+np6ZmZmRaLpWnTph06dIiNjf3DH/4QGRnpvBPfPFYAAABozDR+Om2An6TVSDW8Q66KJGskoXW9vU4j/LX19X1ajUbS+dUgGfgCrUajkX53SUhCIzQufZYky7IkSfWTF3yMxPfwAQANmyTLsrdzAAAAAICb1tSpUw8ePDh9+vQpU6Z4OxffVVRUZDKZAgICgoODvZ0LPKS4uLi0tFSJNRpN06ZNvZsPPMZisRQUFEiSFB4e7u1c4CFlZWU3btxQN0NDQ53PEoebSV5enhDCaDTWtE4aDVdQUFBJSYkSv/jiiwsXLvRuPvCYgoICi8USGBgYFBTk7VzgIYWFhWazWYl1Ol1oaKh384HHmEymoqIirVYbFhbm7VzgIWazubCwUN1s2rSpRkPBXKNgt9uvXbsmfOOkFxcX33XXXUKIzZs3t2/fvo69cQUDAAAAAAAAAAAAAACgUeDbGwAAAIBLrly5cvjw4fT09DNnzly5csVutxuNxjZt2kRHR3fv3r1Lly5Go9F5DyaTacKECUo8c+bMwYMH13/WNz+OKgAAAAAAAADAdRTKAAAAANU4e/bs8uXLMzIyyj2em5ubm5t76NChbdu2CSHatm37wAMPDBgwwGAwVNWVzWZTArvdXn8JNzYcVQAAADQe2W8ss90o8MrQXz06qFBTzS23Vf6twYH955e89lVVLXVdIs5IstuSq3/92kv3db/o7SxqT3/drj9b/l2tGwVarQF2u1arlbXa+hsFLjq+R2SnXqnvUaxWq/I23C/E0Gf1rPoeDgAAN6JQBgAAAKiSLMsfffTRpk2bXGmclZW1fPnyDRs2rFu3rr4TAwAAANA4FR9MK7uS55WhTz3YPbes1Hkbu/xb7cvlS4WHD1yoqmWEQfeNpcxtydW/yJDAgbZMb2dRezpLoJzzU/31rxVCKZBpSNVPN6/CE0Hnd6Z7bDj/iBCPjQUAgFtQKAMAAABUKSkpybFKJiYmZvTo0R06dGjSpIlGo7Hb7QUFBVlZWfv27fvyyy+9mCcAAAAAAAAAAHAFhTIAAABA5S5fvrx27Vp1c/78+b169XJsoNVqw8LCwsLCYmNjp06dunPnzg0bNng8TQAAAAAAAAAA4CoKZQAAAIDKJSYmqvEzzzxTrkqmHL1eP3bs2BEjRmzevLn+U8Nv9Hr9p59+6u0sAAAAAAAAAAANg8bbCQAAAAC+SJblPXv2KLFGo7nnnntceZXBYHjsscfqMS0AAAAAaHxMVzIPzxtSdO6otxMBAADAzYBCGQAAAKASBQUFdrtdibt166bVar2bDwAAAAA0XrIs26xClr2dBwAAAG4GLL0EAAAAVKK0tFSNQ0JCvJJDbm7u/v37jx8/fuLEieLiYr1e37lz5+7du/fv379Vq1ZeSUlhs9mOHTt2+PDh9PT0rKwsq9UaHh4eExNz++239+nTx9/fv6YdyrJ89OjRb7755ueff7569WpgYGCXLl369OkzcOBAg8HgrrRlWc7Kyvr555/T09PPnDlz7do1nU4XFRXVqVOn3r179+jRoxaZAwAAAAAAAAAaFgplAAAAgErodL/dKp87d87Do9+4ceOtt946cuSI44MWiyU1NTU1NfWDDz5o3779//zP/0RGRlb68qSkpH//+99KvHz58tatW1c7os1m+/Of/2w2m4UQnTt3fvPNNyttJsvyrl27EhISlJaq7Ozs7Ozs3bt3a7Xap556aujQoZIkVdrD5cuXp02bpsSvvPJKTExMTk7OSy+9lJOT47inKSkpKSkpK1eunD179qBBg5xkbjKZJkyYoMQzZ84cPHhwxTbFxcVffPHFli1bCgoKHB+3WCynTp06derUZ599JknS9OnT4+LiqsocAAAAAAAAAHATYOklAAAAoBJGo1GNL126lJub67Ghjxw58thjj5Wrkinn7NmzTzzxxP79+yt9duDAgbZf7d6925VB09PTS0pKlJeMHj260jYlJSXPP//8qlWrylXJOLLZbKtWrVq4cKHNZqu0gSzLam5CiIyMjKlTpzpWyZRrvGjRouTkZOfJqx2qq2WVM2fOnISEhHJVMhXHWrFixYIFC6rqBAAAAAAAAABwE2BGGQAAAKASfn5+Xbt2PXHihLK5cOHC119/PSgoqL7HPXfu3Lx589TN2NjYSZMmtWvXzs/Pz2q1Xrx4ccOGDT/++KPy7Jtvvrlw4cLY2NhynRiNxpiYGKXUJikpafLkyVqt1vm427dvVwKNRtOzZ8+KDcxmc3x8/OXLl5XNZs2aTZ48uUePHiEhIZIkmc3mU6dOrV27NjMzUwiRmpq6ePHiOXPmOB/06NGjiYmJsix37dp10qRJ7du3DwwMlGU5Ly8vMTFRLfFZtWpVv379QkNDnfdWrXbt2t1///3dunULDw8PDAwUQthstvz8/JSUlHXr1plMJiHEoUOHNmzYMHHixDqOBQAAAAAAAADwTcwoAwAAAFTu0UcfVeNz58795S9/Wb9+/cWLF2VZrqcRbTbbggUL1M3HH3984cKFnTp18vf3lyTJz88vOjp63rx5zzzzjNrmtddes1gsFbtSZ4WxWq0///yz83ELCwtTU1OVeOjQoX5+fhXbvPvuu2qVzPDhw9esWTNo0KDQ0FCNRiNJkl6v79Gjx9KlS+Pi4pQ23333nfNJcYQQmzZtslqtkyZNevPNN2+77TaDwSBJkkajiYyMnDFjxpNPPqm23Lp1q/OunOvdu/fKlSuXLVsWFxfXpk0bZSBJknQ6XbNmzUaMGLF+/fpu3bopjRMTE/Pz8+syHAAAAAAAAADAZ1EoAwAAAFTu9ttv79evn7pps9kSExOffvrpUaNGvfrqq5988snx48cLCwvdOOLevXuvXr2qxEOGDHn44YcrbRYXFzd27FglNplMlRaRxMbGqrPIbNu2zfm4jks4DRs2rGKDjIyMb7/9Von79u07derUSqeo0Wg0M2bMiI6OVjaXLFlSbVHR4MGDx4wZI0lSxadGjhzZrFkzJd69e3dd6pOmTJkSFRXlpEFAQMDLL78cEBCgbO7atavWYwEAAAAAAAAAfBlLLwEAAABVmjNnzpo1a5KTkx0ftNlsKSkpKSkpymZERERcXNzgwYMjIyPrONxHH32kxo8//riTluPHj9++fbvVahVCbN26dfz48RrN74rgtVrt/fffv2PHDiFEWlpaQUFBSEhIpV3JspyYmKjuS9u2bSu22bhxoxrHx8dXWteikCRp5syZs2fPFkLk5uZeuHChTZs2Tnbkr3/9q5OuRo0atXr1aiGEyWS6du1aeHi4k67qyGAwjBo1atOmTUKIXbt2TZgwwZVXZWVlOc58U6mwsDAhRGlp6bVr1+qe581KKYSyWCwcpcbDsfrNbrdz6hsP5dTLssxJb7QKCgq8nQI8zb3F5bDb7TfH0GVWqxt78wBrQ0u4HKu1zNspwHNsNpuHR7RardzdNR7KLb3NZuOkNx7lvsB2/fp1b2UCb/GFk15SUqIEbrkppVAGAAAAqJJWq3366aeHDRv2/vvvHz58uNI2eXl5Gzdu3Lhx4x133DFr1qyq6lGqlZeXl5ubq8SDBw82GAxOGvv7+z/wwAPKVDEWi+XcuXPt27cv12bIkCFKoYwQ4ttvvx0xYkSlXV24cEEdd9y4cRWLYEpLS9WFme66667g4GDnO9KxY8fAwMDS0lIhxPfff++kUKZnz57Oe1OXQxJC1HehjJKPUiiTn59vMpn0en21L7FareokQFUJDQ0VQsiy7MWPNBoKWZbrb2kz+Dh+QBohTnqjxalvhDjpuDlwo4oGxCtXK7/tGyFOeqPFqW+EfOGkuzcHll4CAAAAqhEdHb1gwYL169f//e9/79u3b6WrDgkhUlNTJ02alJ6eXrtRsrKy1HjAgAHVtv/jH/+oxhkZGRUbtG7dumXLlkq8efPmquoP/vvf/zof99y5c2o8cODAahOTJCkmJkaJT5w44aRlnz59nHdlNBrV2APfWnAc7saNG/U9HAAAAAAAAADA85hRBgAAAHCJ0WgcNGjQoEGDZFkuLCzMzs4+duzYnj17Ll68qLax2+1z585du3Zt8+bNa9q/Yz+tWrWqtn2LFi3UODMzs9I248ePX7JkiRAiPz8/MzMzOjq6XIOysjJ1Yak77rijSZMmFTu5cOGCGle6MFNFbdq0UZamOnnypIu7UCl/f381tlgsrgzthCzL58+fP3r06LFjxy5evJiTk2M2mx0bOH4poaCgoBYnEQAAAAAAAADg4yiUAQAAAGpGkqSQkJCQkJCuXbuOHj06JyfnvffeO3TokNrg9ddfV8pTauTSpUtq7Mr6TUFBQWrsWGTjyHHWmeTk5Keffrpcg7S0NLU65OGHH660k/Pnz6vxs88+q9FoxK8rE6sL5Sj/2u12dZlqpX1hYaEsyxWXc1IEBARUvX9uduDAgdWrV1+5csXF9i7W5YSGhk6cONF5m4MHDwohdDpdYGCgi6M3QmVlZVarVavVOlZH4eamnHQlliTJlcXOcHOw2WzK71h+KzYedrvdsTg1ICBAuZ1AY6Asx8lJd6+q7q4b3NAajUbYbW7ssL5ptQ37MubHsFHRePwXhUaj8eR7fHiX1WotKyvjfVyjor6PU+j1ei/ekMCTZFk2mUzCN066e1dsp1AGAAAAqJMWLVrMnz9/3bp1W7duVR45e/Zsdna2K7PCOCorK1Njna76G3XHv3KWmxlFZTAY7rzzzv379wshdu3a9cQTT/j5+Tk2SExMVAK9Xt+9e/dKO1E+3lAo74sanDVr1iQlJdVHz02bNo2Pj3feZurUqUIIf39/x9omlFNUVGS1WnU6HUep8SguLnYslOHUNx4Wi8VisXDSG5WysjLHe5XAwEBXbnVwc1DuJPV6fbm7UNTFTVMoo9VohGhIhTINvdBEo6l8EWHclDx/uWo0Gu7uGg+TyVRWVsZJb1TMZrNjoYzBYGjo/y3CRXa7XfmDsE+ddLdkwptSAAAAwA0mTpy4d+/e/Px8ZTM9Pb2mhTKOHx6oM7I44bhOkJOvbT344INKoYwsy4cPH+7bt6/6VH5+/vHjx9VmWm3lfzZt6B9l7du3T62S0Wg0I0eO7NevX6tWrYKCgnQ6nSRJ6p/7s7Ozp02b5r1MAQAAAAAAAAD1rmH/yRsAAADwERqNZvjw4Rs2bFA2f/nll5r20Lx5czUuLCys9ks5xcXFauykKKdLly5BQUFK482bNzsWynz99ddqfN9997mS2KZNmxrWt4VsNtvq1auVOCQkZNmyZWFhYU4aeyovAAAAAAAAAIB3+Mr0OAAAAEBDFxUVpcaOyxXV4uXZ2dnVtr98+bIat2vXrqpmkiSNGjVKiU+dOqXOeSPL8pYtW9SXR0ZGVtXDLbfcosa5ubnVJuZTsrOz1YqiZ5991kmVjPj9IQUAAAAAAAAA3JQolAEAAADco6ioSI2NRmNNX962bVs1/v7776ttn5KSosYdOnRw0nLw4MFq/NVXXynBmTNnCgoKlHjcuHFOXh4dHa3GBw8erDYxn3LhwgU17tq1q/PGDW7vAAAAAAAAAAA1RaEMAAAA4B4HDhxQ486dO9f05c2aNYuIiFDizz//3GQyOWlcVlb26aefKrG/v3/79u2dNA4PD1fz2bp1qyzLQoikpCS1geN6TBUZjcZu3bop8ebNm61WazV74kvMZrMaa7Va5y13795d/xkBAAAAAAAAALyJQhkAAACgEiUlJTt27CgrK3OxfXZ2tuMUL9VOXlKp8ePHK4Esyxs3bnTScvv27WoJyIMPPqjRVHNjP3bsWCUoLCzMyMgwm8179+5VHrnnnnsCAgKcv3zSpElKUFpaunbtWueNfYpaeySEyMrKctIyISGhYdUAAQAAAAAAAABqgUIZAAAAoHIJCQkTJkzYunVrSUmJ85Y5OTlz5sxRN/v16xcWFlaLEe+99171hTt27KhqgpNvvvnmww8/VOKAgAC1CMaJXr16SZKkxElJSY6T34wcObLal996660DBgxQ4uTk5ISEBJvN5vwleXl569evLy4urrbzetWuXTs1Xr58eaWlMLIsf/zxx8nJyR7MCwAAAAAAAADgHTpvJwAAAAD4LovFsm7dunXr1vXt2/fuu+++5ZZbwsPD9Xq9EEKW5dLS0qysrF27dqmzswghgoOD4+PjazecVqv9xz/+8dxzzymbK1asSE1N/ctf/tK6dWudTmez2S5duvTxxx9//fXX6kvmzp2r5OOcn5/f0KFDlVqQr7766tixY8rjRqPR+bJNqvj4+DNnzly6dEkIsWPH/2fv3uOiqvPHj3/OzAAzgwh4wQsI5gWR1Vg0LdTaMsOtrFy0zHZTo4uuhrVZtOWWormV2XcrU1fsR5tJbeEts8xWWyvdEtEkL3hBQvCCgNwvw8DM+f1xdk8Tl2GAgeHyej4eu4/POec9n8/7nBMyZ3jP57N9z549v//970ePHt2jRw93d3chhNVqrayszM/PT0tL++KLLzIyMoQQU6dObdolcDYvL6/x48cfOHBACJGdnb1gwYL58+cPGzZMuWgVFRVnz55977330tPThRDTp0/fvHmzaxMGAAAAUJe+z8BRr+x1dRYAAADoJCiUAQAAABqXnJxsu7JSQ3x9fVetWmU0Gps90JAhQ+Li4uLi4qxWqxDi4MGDBw8ebCj4qaeeGj16tIM933HHHeqkKbm5uUrjvvvuU2easc/Dw+PNN99cvnz5sWPHhBBlZWXr1693cGjXiomJSU1NLSsrE0Jcvnz5hRdeqDdswYIFYWFhFMoAAAAAAAAAQOfG0ksAAABAPYxGY0JCQnR0tL+/vyPxBoPh0Ucffeedd3r37t3CocPDw999992QkBA7MYGBgfHx8TfffLPj3QYGBvbq1avWzptuusnxHvR6/UsvvfSXv/zF29vbfqQkSZGRkatXr/by8nK8/1ZiNBrXrVsXHBzcUIBer1+6dOnkyZPbMisAAAAAAAAAgEswowwAAABQv169ek2dOnXq1KmlpaVnz549ffp0ZmbmhQsXrly5Ul1drdfr+/XrFxAQMGTIkLCwsMDAQK1W66yhfX19V65cmZubu3///pMnT6alpZWVlRmNxmHDhoWGho4bNy4gIKCpfUqSdN99961du1bdM3LkyEZLXup2Mnbs2I0bN2ZlZR06dOjs2bNnzpwpKioSQvj5+Q0YMGDw4MHXXnttcHCwm5tbUzNsPd7e3q+99trZs2f37dt3/Pjx7OxsIYSfn19oaGhERER4eHi7yhYAAAAAAAAA0HokWZZdnQMAAAAAdFpz5849fPjw/Pnzo6OjXZ1L+1VWVmYymTw8PNrDLERoG+Xl5ZWVlUpbo9H06NHDtfmgzZjN5pKSEkmSevbs6epc0Eaqq6uLi4vVTR8fH52OL+91Ffn5+UIIb29v6pKdqPQ/KXJVlUuGPh/iX6VrZJb6GweGmCr++ys+es7CuY881VBkTXePcreONOe9v49lUO8KV2fRfLqyam1Zaev1X1lZWVNT4+7u7uHh0XqjwEG5p6sr8s2tPYpy04UQGnddwF0RPj4+rT0i2gmTyVRWVqbVan19fV2dC9pIVVVVaenPv0R69Oih0XSkX+JoNqvVWlBQINrHTS8vL//Nb34jhPj4448HDRrUwt54KAUAAAAAAAAAoGPwGnedq4Ye6UCMRkhqu39A97Hjg1ovHzSNtxBNm1G0aWpKSsxms9ZgkDw9W3EYOKaPQ4tIt1RpaWmVi+r2AABoIUq9AAAAAAAAAAAAAAAA0CUwowwAAAA6idzc3B9++OHkyZPnzp3Lzc21Wq3e3t4DBgwYOHBgaGjosGHDvL3tfXvOZDLNnDlTacfExEycOLFNsgYAAADgHAWp50rOXnR1FvZotJKPr7aNBz3lF1Sibbulr6yyrLYvXyg59J/zbTZ0x6I1aMUAq6uzcKb/Lr1U5e5RydJLHUxvvZD+NxWUh1bj5ebomk01UqXQ1riXmERlhUajkcs7xWRCOr3UZ4SrkwAAtDoKZQAAANDhZWRkvP322+np6bX25+Xl5eXlHTlyZOvWrUKIwMDAu+++e8KECUajsd5+LBaL0rBaO9XnlQAAAEBXkP7e7hNvbHF1FvZ4+nUfMUxuPM6p4n+/6IfC6jYbzmz5+QQPf3/h7cJv2mzojqX/Nd4FUWWuzgIQQohJ/bWSVKO0g7p5BXS77OgrNUJy13tdLXI7nyqEaOt/3VpJt77SbX91dRIAgFbH0ksAAADowGRZ/vDDD5988sm6VTJ1ZWVlvf3223/84x/bIDEAAAAAAAAAANAOMaMMAAAAOrCdO3d++OGH6ubIkSOnTZs2ePDgbt26aTQaq9VaUlKSlZW1b9++vXv3ujBPAAAAAAAAAADQHlAoAwAAgI7qypUrGzZsUDeXLl06atQo2wCtVuvr6+vr6xsWFjZ37txPP/00MTGxzdMEAAAAAAAAAADtBYUyAAAA6KiSkpLU9uOPP16rSqYWvV5/77333nnnnR9//HFDATt27HByigAAAACAlikuvfjpvr9EjnvOr2ewq3MBAABAZ6BxdQIAAABAc8iyvGfPHqWt0WhuvfVWR15lNBrnzJnTimkBAAAAAJxKFsJqtQghuzoRAAAAdBIUygAAAKBDKikpsVqtSnv48OFarda1+QAAAAAAAAAAgPaPpZcAAADQIVVWVqrt7t27uzATWZaPHz/+zTff/Pjjj1evXjUYDMOGDRszZsyNN95oNBod7MRisRw6dCg5Ofno0aNFRUW+vr7BwcHjx48fO3asu7t7U/PJysr68ccfT548ee7cuYKCAp1OFxAQMHTo0NGjR1977bVN7VBVXV2dnJx84MCB06dPFxYW+vj4hIWFXX/99WPGjGlSoVJeXt6BAwfS0tJOnTpVXl6u1+uDg4NDQ0PHjRvXv3//5uVmsViOHTt24MCBkydP5ubm1tTUhIaGrlixot7IEydO/PDDDydPnszKyqqpqenZs+fIkSN//etfjxkzptkXBwAAAAAAAADQIVAoAwAAgA5Jp/v5rWxmZmbLOzSZTDNnzlTaMTExEydOrBtz5cqVefPmKe1ly5aNHDkyJyfnxRdfzMnJUWPMZnNycnJycvLatWsXLVp00003NTr0sWPH/vrXv5aXl6t78vLylGoSDw+P559/Pjw8/OzZs7GxscrRtWvX9uvXr24/5eXl//rXvzZv3lxSUmK732w2nzlz5syZM5999pkkSfPnz4+MjJQkyU5Kdc/02LFjL730km19Un5+/t69e/fu3evp6bl48eIRI0Y0eqbFxcUrV648duxYrfRSUlJSUlI2btw4aNCg559/3s/Pr0m5nTlzZtmyZbXOurq6utYLZVn+4osvEhISqqqqbPdfunTp0qVLu3fv1mq1jz322G9/+1v7FwcAAAAAAAAA0HGx9BIAAAA6JG9vb7V9+fLlvLy8lvdp+R91UadaZFlWY4QQ6enpc+fOta2SqRW8atWqXbt22R/0008/Xbx4sW2VjK2qqqolS5bs27fPNj1ZlusNjo2NTUhIqFUvUjerNWvWxMXFNXSOapjtmSYnJy9evNi2SsZWeXn5888///nnn9vpUAhx7NixOXPm1KqSqSUjI+ORRx45cOCA47mlpKQ8/fTT9s9aCFFRUfHMM8+sW7euVpWMLYvFsm7duuXLlys9AwAAAAAAAAA6H2aUAQAAQIfk5uYWEhJy6tQpZXP58uUvv/yyp6dnmyVw/PjxpKQkWZZDQkJmzZo1aNAgg8Egy3J+fn5SUtLu3buVsHXr1kVERPj4+NTbyeHDhzds2KBu3n777ffcc0+fPn00Gk1VVdW5c+f+3//7f+np6f/3f/83bdo0BxMLCgq66667hg8f3rNnT4PBIISwWCyFhYXJycnvvfeeyWQSQhw5ciQxMfHBBx90pMPDhw9v3bpVCBEQEDB37tzg4GC9Xm+1WnNycrZs2bJnzx4l7O9//3u/fv3Cw8Pr7SQzM3Px4sXqZlhY2KxZs4KCgtzc3Gpqai5evJiYmHjw4EHl6Kuvvrp8+fKwsDBHctu2bZsQYsiQIXPmzBkyZIhyF3Jzc22rbaqqqp544okrV64om7179549e/a1117bvXt3SZKqqqrOnDmzYcOG8+fPCyFSUlJef/11df4eAAAAAAAAAEBnwowyAAAA6KgeeOABtZ2ZmfmHP/zh/fffv3jxYkMTrjjXhx9+WFNTM2vWrFdffXXEiBFGo1GSJI1G4+fnt2DBgkcffVSN3LJlS709VFdXv/rqq+rm8uXL//jHP/bv31+r1UqSpNfrf/WrX73++utTpkyx04mt0aNHr127dvXq1ZGRkQMGDFBSkiRJp9P17t37zjvvfP/994cPH64EJyUlFRYWOnKmSpXMjTfeuHr16rCwMIPBIEmSVqv19/dfuHDhiy++qEa+/PLLdRc8EkJYLJa4uDh186GHHlq+fPnQoUPd3d0lSXJzcxs4cODixYsff/xxNWbFihVms9mR3GRZnjp16uuvv37ttdeqd6Fv3762pUVvvfWWWiVzxx13xMfH33TTTT4+PhqNRrnU11577ZtvvhkZGanE7N+/3/7MNwAAAAAAAACADooZZQAAANBR/frXv46IiPjuu++UTYvFkpSUlJSUpNVqR48ePXLkyODg4ICAAC8vr1ZKYOLEidOnT6/30JQpU7Zv364sCLV79+7o6GhJkmrF7N69W5nfRezTImgAACAASURBVAixYMGCeidQkSTp0Ucf/emnn06cONFoPtHR0fYDPDw8lixZMnv2bGX5oS+++GLmzJmNdiuECAgIWLRokUZTT539dddd99hjj8XHxwshTCbT559/fs8999SK+eqrr65evaq0J0+e/Lvf/a7eUSIjI69cuZKUlKR0tWXLFkfSCwsLe+ihh+peXlV6evq3336rtMeOHTt37tx6gzUazYIFC86cOZOZmSmEeOONN9555x073SoKCgo2bdpkP0ZZsspsNje0wBaEEEqJVU1NDVep67Ctq5NlmVvfdSjL23HTu5RaCz5WVlbW+6YCnZjJZHKkBrrl6i3abldk0RY1/bXYX3QVrmK1uuA/BqBRVktX/xfDarVW8ja1MTU1NUIIq9XKW/quo9Yy5RUVFY1+aIbOQf1Kanu46RUVFUrDKe9vKZQBAABABxYbGxsfH79r1y7bnRaLJTk5OTk5Wdns1atXZGTkxIkT/fz8nDv6ww8/3NAhSZKioqLWr18vhDCZTAUFBT179qwVo1SECCG6des2adIkO13NnTt34cKFzkhZGI3GqKioDz/8UDSlUGbBggV2/qB1++23b9q0SXlQ+eijj+6+++5aT03//Oc/1fZDDz1kZ6AZM2Zs27ZN+cBly5YtM2bMaPQPafPmzbP/kPbBBx+o7SeeeMJOsCRJMTExixYtEkLk5eVduHBhwIAB9kcvKirauHGj/ZjBgwcLIWpqapSKGdhhsVi4Sl2TLMvc+i6Im95lKQW76FLa7KYrbyNRC4Uy7ZPMfUH7Icvifw/K1jaZo7c949nEcVyrrkz97h+6jvZw0537bw7f3gAAAEAHptVq//jHP7711lvh4eENxeTn53/wwQePPPLIsmXLSkpKnDV0eHi4/blq1EWOhBAFBQV1s1JXPvrd736n1WrtdDVw4MC6dTbNpl6rwsJCR55w9Hp9aGionQCtVhsVFaW0y8rKcnJybI/m5+crM+sIISZOnGg0Gu105e7ufvfddytts9msTO5ih5+fn7+/v52AysrKlJQUpf2b3/ym0emFhgwZYjAYlLY6WREAAAAAAAAAoNOgUAYAAAAd3sCBA+Pi4t5///2nn3567NixDRWdpKSkzJo16+TJk04ZdMyYMfYDvL291XZRUVGto7YlIHaqfFQ33nhjE5Kzyzax4uLiRuMnTJjQ6Lyao0aNUtsZGRm2h7Kysmy7anS4G264QW2np6fbD270stheZ0euoSRJI0eOVNqnTp1qNB4AAAAAAAAA0LGw9BIAAAA6CW9v75tuuummm26SZbm0tPTSpUsnTpzYs2fPxYsX1Rir1frnP/95w4YNffr0aeFwffv2tR/g7u6uts1mc62jtln17t270eEGDRrkYGKyLGdnZx8/fvzEiRMXL17MycmpNde97dTrJSUljV6KoUOHNjqobScXLlywPWR7pv3792+0K9sLe/78efvBjS6NZJtMYGBgo6MrfSrrdp0+fbrRYK1W26NHD/sxSpmRJEmNLiPVlcmyLMuyJEkuX+0YbUa56eomPyBdh3rrueldiu3bD259l6Lc+ja76byRqJckSUJ09bVU2iP+c0W7xH+YgvcqDuARvgviEb4ra+O39HY4NwcKZQAAANDZSJLUvXv37t27h4SETJs2LScn5+9///uRI0fUgJdffvmNN95o4SgeHh4tefmVK1fUtv3ViBQOLr106NCh9evX5+bmOphG3Qqeuhyp41GXKxJCXL582faQ7Wb37t0b7crT01Nt2xbZ1MvX19d+QHZ2ttpeuHCh8jSlPNirT/jK/1utVqVhsViU+NLSUuVzHzv9BwUFffnll/ZzmDt3rhDCYDA0WlLTlZWVlZlMJnd390aXx0KnUV5erq4trdFo+AHpOsxmc0lJiSRJ3PSuo7q62nYSu+7du+t0fCbZVeTn5wshvLy83Nzc2mA4vV7fBqO0hCRcULOi1WqFsDYeh7al1br+r03Af9k89tpfGLorcOT7MDCZTGVlZRqNptGPZdBpVFVVlZaWqps+Pj7toWwCbcBqtRYUFIj2cdPVD+SdkgkPpQAAAOjk+vbtu3Tp0vfee2/Lli3KnoyMjEuXLjkyu0nrsa1QceSdvSN1OfHx8Tt37mxRWvWxnRqnIbYfpdWawKa6ulptO/JXMdurUauruhrtUP0zvBDCZDI1OjoAAAAAAAAAoHOjUAYAAABdwoMPPvjVV18VFhYqmydPnnRtoYztd2qtVmuj39lqdOqXffv2qVUyGo1mypQpERER/fv39/T01Ol0ttPhXrp0ad68eY6n6sisM7brKdQqrLE9U3WyFge7auG0PcKx0hwAAAAAAAAAQNfBp8YAAADoEjQazR133JGYmKhs/vTTT67Np0+fPmq7srKy0bnor169aueoxWJZv3690u7evfvq1avtTH7rSLWKLWXCfPsqKirUdr9+/WwP2Z5paWmp7cpK9SovL1fbLS9msh39ww8/bHR0AAAAAAAAAEDnxuJhAAAA6CoCAgLUtu2KPC7h7++vtvPy8hqNz8zMtHP00qVLan3JwoUL7S8RfeXKFYdS/J/09PRGY2xPwfY619q8dOlSo13ZphcUFORQig275ppr1LYj1xkAAAAAAAAA0LlRKAMAAICuoqysTG17e3u7MBPxyxKQo0ePNhr/zTff2Dl64cIFtR0SEmK/q8OHDzc6nK1vv/1WlmX7MUeOHFHbtrUpQojAwEC1/d133zU6XHJystoePHiwo1k2YODAgWq7qScOAAAAAAAAAOh8KJQBAABAV3Ho0CG1HRwc7MJMhBC9e/f28vJS2tu2bbNarXaCs7Oz7c+GUlVVpba1Wq39yN27dzclU1FZWXn69Gk7ARaLZevWrUrb09Oz1npJvXv37tWrl9L+8ssvTSaTna6qq6t37NihtN3d3QcNGtSkVOvy9vYePny40v74449rampa2CEAAAAAAAAAoEOjUAYAAAAdUkVFxfbt26urqx2Mv3Tpku1UJY1Ou9LaJEm69957lXZJScnXX3/dUKQsy/Hx8fZ7UytRhBBZWVl2IhMSEppRLLJmzRo7pTx79uxRZ+u59957JUmqFTBjxgylIcvyBx98YGegbdu2qUU/99xzj0bjhAeWWbNmKY3KysoNGza0vEMAAAAAAAAAQMdFoQwAAAA6qoSEhJkzZ27ZsqWiosJ+ZE5OTmxsrLoZERHh6+vbytk17o477nB3d1faf/vb39LS0urGyLK8cePG1NRU+13ZLuT09ttv11sKI8vyRx99tGvXrmakev78+dWrV9dbK5OamrpmzRql7eHhMWXKlLoxkyZNUi/49u3bG5rS5ptvvtm0aZPalVpI1EK/+tWvJkyYoLR37dqVkJBgsVjsvyQ/P//9998vLy93SgIAAAAAWsLHy3/WPRv9eg5zdSIAAADoJCiUAQAAQAdmNpvfe++9+++//6WXXtq/f//FixfVlX1kWa6oqDh16tQbb7zx2GOPlZSUKPu9vLyeeOIJ16X8M3d390WLFqmbzz77bEJCQm5urlKPYjabz5w58/zzz2/ZskUIcc8999jpysvLa/z48Uo7Ozt7wYIFqamp6qWoqKhITU1dtGhRYmKiEGL69OlNyvOuu+4SQuzdu/epp546ceKE2WwWQlit1tzc3Pj4+BdeeEGNjI2NVUt/bGm1WtuwNWvWrFix4vz580pBj8ViuXDhwuuvv75q1So15s9//rNer29SnnY88cQT/fr1U9rbt29/8MEHP/vss5ycHOVclNMpLy8/f/78F1988eSTT0ZHRyclJdlfDwsAAAAAAAAA0BHpXJ0AAAAA4ATJycm2Kys1xNfXd9WqVUajsQ1SckRERMSsWbM2btyobG7fvn379u11w2JiYoKCgj755BNls+7aRkpMamqqsgTS5cuXbQtTbC1YsCAsLGzz5s2OJ3nDDTcMHz585cqVGRkZzz33XENhDz/88JgxYxo6OmTIkLi4uLi4OKX65ODBgwcPHmwo+Kmnnho9erTjGTbKw8PjzTffXL58+bFjx4QQZWVl69evd2L/AAAAAAAAAICOghllAAAA0CEZjcaEhITo6Gh/f39H4g0Gw6OPPvrOO+/07t27tXNrkunTpy9ZsqSh2VO0Wu3zzz9/22232c5uotPVU+9uNBrXrVsXHBzc0EB6vX7p0qWTJ09uRpITJkxYunRpvbPFCCEMBsPy5cvtz3kjhAgPD3/33XdDQkLsxAQGBsbHx998883NSNI+vV7/0ksv/eUvf/H29rYfKUlSZGTk6tWrvby8nJ4GAAAAAAAAAMC1mFEGAAAAHVWvXr2mTp06derU0tLSs2fPnj59OjMz88KFC1euXKmurtbr9f369QsICBgyZEhYWFhgYKBWq3V1yvUbPXr0Bx988P333ycnJ6emphYVFfn4+AwdOnT8+PERERFKDU1xcbEa7+npWW8/3t7er7322tmzZ/ft23f8+PHs7GwhhJ+fX2hoaERERHh4uJubW7OTHDVqVGJi4sGDBw8cOHDq1KmioqLu3buHh4dff/31N9xwg4PX1tfXd+XKlbm5ufv37z958mRaWlpZWZnRaBw2bFhoaOi4ceMCAgKanWGjJEkaO3bsxo0bs7KyDh06dPbs2TNnzhQVFQkh/Pz8BgwYMHjw4GuvvTY4OLglFwoAAACu4jM8aMCdN7g6C3s8vDy6Bbb1l1dH+Hl69mi7R6EfJUmt8ffr1y3sOoe+2NAFefX28O/R3dVZOFNNTY3VatVqte320RsN6ecpSUJW2l5u7h5aR5+Ia2pqZIvGqnev7hEiSVIneZQ29HB1BgCAtkChDAAAADo8Ly+vUaNGjRo1qiWd6PX6HTt22I/p27dvozG2WTkerNPpJkyYMGHChIYCLly4oLYNBkNDYZIkBQcH25lXRjTxLGx5eHjcdNNNN910UzNea8vPzy8qKioqKqp5L292/gpJkoKCgoKCgprdAwAAANqn4EfvDH70Tldn0e482bbDvTNbqvlfe+z4wKf+MrFtx4fLlJSUmM1mg8HQ0Fc70PmUmkurzFXlfkL4CZ1O5+Pj4+qMAABwFEsvAQAAAB3At99+qzQGDhwoSZJrkwEAAAAAAAAAoINiRhkAAACgvcvPz8/IyFDat912mxDiypUr8+bNU/YsW7Zs5MiRzevZZDLNnDlTacfExEycyNc9AQAAAAAAAACdGYUyAAAAQONmzpxpMpnqPaTVar28vK655ppBgwaNGTNmyJAhzl2RXZbltWvXqptjxoxRdlosFqf0r/ZjtVqd0iEAAADQ+Vxetbboy32uzsIezxEBA54MbOhojeS+s6ZH/YfkHkfOdfv6R7NT0jDV/PxYsWtbWs7pDxx84eAQn5hH8g1H/2OV/au++V7d/5/v/S4fveKU3NDaZFlmAtSuRpZltd3Gd1/fs/t9Wf9syxEBAJ0JhTIAAABA4ywWS0OFKRaL5erVq1evXk1JSfn4448NBsPcuXNvueUWRz4hkmU5ISHhvvvu8/Lyaqjzd955JyUlRdmMiIjo27dvs88CAAAAQPPINTVylXNKSVqJXF0t5JqGj2sscv1PNFarbJGtVTXOr5u3WGSz2dH6fkuNRRaysJiFqBHVVT+nV1Vtqayy80IAXVMN/zIAAFqAQhkAAADAmSorK9944429e/fGxcXpdI2/3/7kk08++eSTW2+99dZbbw0KCurWrZskSRaLpaSk5OjRo4mJibm5uUqkVqtVl1vqQEpKSmbPnq20n3nmmXHjxrk2HwAAAAAAAABAV0ahDAAAANA027Zts11cSZblqqqqrKysxMTEH374Qdl57Nix1atX/+lPf3Kwz7179+7du9dOgE6nW7lypa+vb7PTdiF1Mh7bOZkBAAAAAAAAAGh7FMoAAAAATVNrTSVJkvR6fXBwcFxc3M6dO+Pj45X9//73v6dMmTJ06NCWjxgeHv700083tDxTS+j1+h07dji9WwAAAAAAAAAA2icKZQAAAACnmTJlypEjR1JSUpTNrVu3Pvvss3biJUn66KOPfvrpp7S0tPT09AsXLhQUFJSWlup0ul69eoWEhISEhERERHTQiWQAAAAAoOUuifIlcnKsFD5U+Lg6FwAAAHQGFMoAAAAAzvTggw+qhTIHDhyQZbnWDDS1GAyG0NDQ0NDQNsnOUX379mWmGQAAAADtgSyERbCMKwAAAJyGQhkAAADAmQIDA203i4uLfXxqf+tRluWsrKwff/zx5MmT586dKygo0Ol0AQEBQ4cOHT169LXXXuvu7t6GKTsqNzf38OHDR48ePX/+fH5+vkaj6d2796BBg0aMGBEeHu7n5+f0EVvpQsmyfPz48W+++ebHH3+8evWqwWAYNmzYmDFjbrzxRqPR6PSzAAAAAAAAAAC0HxTKAAAAAM6k1WqNRmNFRYWyWV5eblsoU15e/q9//Wvz5s0lJSW2rzKbzWfOnDlz5sxnn30mSdL8+fMjIyPtT0XjoMLCwmeffTYvL0/ZjImJmThxonrUZDLNnDmz3kO2SktL//a3v6kz5aiys7Ozs7O//vprIcTw4cMfeeSRoUOHqkfnz59/+fJl2eabnytXrtRoNHX7T0pK0ul+8WzirAt15cqVefPmKe1ly5aNHDkyJyfnxRdfzMnJse0zOTk5OTl57dq1ixYtuummmxrqDQAAAAAAAADQ0VEoAwAAALSd2NjY7Oxs+zGyLK9Zs+a777578cUX6y0rcVxmZmZsbKzJZBJCaDSa5cuXjxw5slaMxWJRGlartd5OiouL586dq5b+NCQtLW3RokUfffSRwWBQe1Y7V8iyXGtPQ5x1oWqNmJ6evmjRIrmBWdtlWV61alV5efntt9/uSJIAAAAAAAAAgA6HQhkAAADAmSwWi21NiaenZ92YoKCgu+66a/jw4T179lTKSiwWS2FhYXJy8nvvvafUtRw5ciQxMfHBBx9sdibJyckvvfSSmsaqVav8/f2b0U9cXJx6RhEREVFRUf7+/kajUZIkq9VaVlamTCqze/fuZqfaEOdeqOPHjyclJcmyHBISMmvWrEGDBhkMBlmW8/Pzk5KS1PzXrVsXERFRd8EsAAAAAAAAAEAnQKEMAAAA4Ey15kHx9va23Rw9evRzzz0XEBBQ61U6na5379533nnnpEmTXnzxxbS0NCFEUlLSlClTfH19m5HGtm3b3n33XaXdv3//1157zcvLqxn9XLx4MT09XWk/8MAD999/v+1RrVbr7e3t7e09YsSI6OjoHTt22B5dv369EKKoqGjWrFnKnmeeeebGG290ZNzWuFAffvihEGLWrFnTpk1TV2uSJMnPz2/BggWBgYEbNmxQdm7ZsuXhhx92JE8AAAAAAAAAQMdCoQwAAADgTImJiWr7+uuvVwsyFNHR0fZf7uHhsWTJktmzZ1dVVQkhvvjii5kzZzYpAavVum7dOnV+lJEjRy5ZssTd3b1JnajOnj2rtqdNm2Yn0mAwzJgxo+5+20WRHF9JqpUu1MSJE6dPn17voSlTpmzfvj0vL08IsXv37ujo6Fr3rl5ms/nChQv2Y5S1n6xWq4PLTnVNynpYji/OhU6g1iJo3PquQ13pj5veddRa3pHfiV1Q57jpDS3f2QnI7ePkZFn5n5BFO8gGQEfQCX65dFC8pe+Car2lt1gs7eLdA1qf7c+7y2+6+m+OUzKhUAYAAABwmt27dx88eFDdtF9Z0hCj0RgVFaVMf9LUQhmz2bx8+fLU1FRlMzIycv78+Y6Xp9R19epVpaHX693c3JrdT2toxoWyM0+MJElRUVHKLDgmk6mgoKBnz56NdnjhwoX77rvPfszgwYOVPgsLCxvtsIszm81ms9nVWcAFrFYrPyBdjSzL3PQuq6SkxNUpoK2Vlpa6OgUnUOqz2zOrxWrnqJ0/J1hqaiyWmlbIqGkslprqmhohRE11zS/32zsvAF0W7yddTlkd29VZwDWKi4tdnQLaWnu46RUVFUrDKYUyzf/EHAAAAIDCbDZnZGSsWLFizZo16s7x48eHhIQ0r8Pw8HClUVhYaDKZHHxVaWnpwoUL1SqZ2bNnP/744y2pkhFCqAs2mUym8vLylnTVGpp0ocLDw+2vPzV8+HC1XVBQ0PL0AAAAAAAAAADtDTPKAAAAAE0TFRVluyhPvdPMBgcH/+lPf2r2EN7e3mq7uLhYr9c3+pKLFy8+/fTTai3L4sWLr7/++mYnoBo6dKjafuWVV5577jmj0djybp2lSRdqzJgxjvdWVFTUwtwAAAAAAAAAAO0QhTIAAABA09RalLcWnU73yCOP/Pa3v7UzlYssy9nZ2cePHz9x4sTFixdzcnJqTeRuO0RJSUmfPn3sp5Samvriiy8qc056eHi8+uqrgwYNcuhkGjNw4EB/f/+LFy8qo9x///0TJky4/fbbBw8e3AYVM869UH379rU/nLu7u9pmASAAAAAAAAAA6JQolAEAAABaytPTc+DAgUOGDBk7dmxISIibm5ud4EOHDq1fvz43N9fBzhut2HjvvffOnDmjtHv27Llq1aqePXs62HmjJEmKi4uLiYmprKxU9uzfv3///v3KWGPHjh0zZszw4cM9PT2dNaLK6RfKw8OjxUnV1rdv39WrV9uP2bBhgzJ69+7dnZ5Ap1FZWVldXe3m5mYwGFydC9qIyWRSf2wlSbK/Mho6k5qaGmVZcf5V7DosFovtAo6enp5ardaF+aAtlZSUCCGMRqNO1+E/iDa5uzu6JKqLSHYXXbWdFLMWrVar1WqFsPd9gDag0Wh1Wq0QQqvTWn+xv8HMAXRlkiTxftJVzGazyWTSaDTdunVzdS5oI9XV1epng0IILy8vO28t0JnIslxaWirax01XHySdkkmHfz4BAAAA2ti2bdua/ded+Pj4nTt3OjcftUpGCPH73//eiVUyCj8/v3fffTchIeHLL7+03X/16tVdu3bt2rVLCHHdddfNmTMnMDDQWYO2xoVqDUajMSIiwn7MP/7xDyGEVqu1nbEGtZjN5urqao1Gw1XqOqqrq9W2JEnc+q6Gm96l2P68CyHc3Nw6Qc0EmsTNzc1+KXmHYGfCyHai2X8vkCSNy//sIYTQaCSl1kcj/eJSt4fcALRPvJ90FWV+X97SdynKPNYqNze39v/WCE6hzufdHm66+mhJoQwAAADgAs1+I75v3z61+EOj0UyZMiUiIqJ///6enp46nU6SJLXnS5cuzZs3z8FuJ02a9O9//9tisQgh3nrrLaPROG7cuOZl2BCj0fj4449HR0cfPXr0wIEDycnJtZZASklJSUlJiYqKmj17dssfVFrpQgEAAAAAAAAAQKEMAAAA0BYsFsv69euVdvfu3VevXu3r62sn2PGeb7nllmnTpv3pT38ymUxCiFdeeSUmJua2225rYcJ1KSU448aNk2W5qKgoIyPj22+//frrr9Vst27dGhgYOHHixJaM0noXCgAAAAAAAAAA5kQCAAAA2sKlS5fKy8uV9sKFC+0Ufwghrly50qTO/f39165dq64MvXr16u3btzcvT0dIkuTr6zt69Ognn3wyKSkpOjpaPRQfH69OyNk8rXqhAAAAAAAAAABdHIUyAAAAQFu4cOGC2g4JCbEffPjw4ab236tXr7Vr16plJQkJCYmJiU3tpBl0Ot3UqVMjIyOVzYqKioKCgoaCa61nXK/WvlAAAAAAAAAAgK6MQhkAAACgLVRVValtrVZrP3L37t3NGMLHx2ft2rX9+vVTNj/66KP4+HhHalNabty4cWq7tLTU9pBG8/NDR01NTaNdtcGFAgAAAAAAAAB0WRTKAAAAAG2hV69eajsrK8tOZEJCgiMFJfXy9PR88803g4KClM2dO3e++eabbVArYzuLjLoClEKv16vtvLy8RrtqmwsFAAAAAAAAAOiaKJQBAAAA2oJavCKEePvtt+ut8JBl+aOPPtq1a1dLBtLr9a+//rq6aNFXX331yiuvWCyW5vX28ccfHzt2zP7LKysr33//fXV020oXIYROp/P09FTahw4danTENrtQAAAAAAAAAIAuiEIZAAAAoC14eXmNHz9eaWdnZy9YsCA1NdVkMil7KioqUlNTFy1alJiYKISYPn16S8Zyd3d/+eWXw8PDlc3vvvtu6dKlzZt85dy5c4sXL54xY0Z8fHxqampBQUF1dbVyyGKxFBYW7tu377HHHissLFR2zps3T5KkWp1MnDhRaZw6derTTz8tLS21M8lNW14oAAAAAO2fv/BMkCYGCx9XJwIAAIBOQufqBAAAAICuIiYmJjU1taysTAhx+fLlF154od6wBQsWhIWFbd68uSVjabXaJUuWvPbaawcOHBBCpKam/vnPf/7rX//q7u7ejN7MZvPOnTt37txpP2zy5Mm33HJL3f1Tp0799NNPlfaGDRs2bNgghNBoNGpJTVJSkk7387NJW14oAAAAAAAAAECXwowyAAAAQBsxGo3r1q0LDg5uKECv1y9dunTy5MlOGU6j0cTGxk6aNEnZPHPmzFNPPVVZWemUzmvx8vJ65pln5s+fX3c6GSFE7969n3322VqHrFar5X9qxbfxhQIAAAAAAAAAdB3MKAMAAAC0HW9v79dee+3s2bP79u07fvx4dna2EMLPzy80NDQiIiI8PNzNzc2Jw0mSFBMT4+np+cknnwghsrKyFi5c+H//939eXl4O9hAbG5uXl5eVlZWZmfnTTz9dvnw5Ly+vsrLSarV6e3sHBgaGhoaGh4cHBwdrNPaq8MePH//Pf/7z+++/P3ToUGZmZk5Ojv2loNr4QgEAAAAAAAAAughJlmVX5wAAAAAAndbcuXMPHz48f/786OhoV+fSfpWVlZlMJg8PD8eruNDRlZeXq3NcaTSaHj16uDYftBmz2VxSUiJJUs+ePV2dC9pIdXV1cXGxuunj42O75CI6t/z8fCGEt7d3J6hytlaa5Gp7pd6upxFao70fLnMDE8xbIgHPvAAAIABJREFUZdlc7bS55/v19KmoqFDaz8Y+98ILSxx8oUYj9B4WySILi9X2rxbVJlkW9cxbifamtLTUbDYbDAaj0ejqXNBGysrKqqqqlLZOp/P29m7L0SVJuPvy/OgaJpOprKxMq9X6+vq6Ohe0kaqqqtLSUnWzR48e9r8yh07DarUWFBSI9nHTy8vLf/Ob3wghPv7440GDBrWwNx5KAQAAAAAAAACwR2PQC4Ork2gZ94YP6bWtMqKbu9azm0fTXqMVQvyiLsadoosOokonC7PZ3WDw8PR0dS5oI2Y3IVf9tw5Sp9N5+FC2AgDoMCiUAQAAADqeK1euzJs3T2kvW7Zs5MiRrs2n2c6ePRsbG6u0165d269fP9fmAwAAAAAAAADo3CiUAQAAQOc3c+ZMk8lkJ8BoNAYEBFxzzTWjRo0aMWJE+58pWpZli8Xi6iycQz0RloUFAACAa1WePF2066uGjuY+ONryv/nm9/3oY6pu9bev15RXV10pb+1RnMtSY1XbJ4pzEtOT7QT304hbSk61flIOMVe5H/7H5aa+aviCqb4jrmmNfAAAANB6KJQBAABA52exWOyXlZSWlqalpaWlpX3++edCiDvuuGPOnDl6vb6tEgQAAADgeuYLlwt37G7o6E9RPWrkGqX9+YnAworq1s5nSpWceeRSa4/iXBbLz/VD2eWF31xOtxMc6ul18/l9rZ6TYyT3vqfXH2zqqwLvGkehDAAAQIejaTwEAAAA6GI+//zzRx55pLi42NWJAAAAAAAAAAAAZ2JGGQAAAHQt27Zt02q1tntkWa6pqbl69ep//vOfTZs21dTUCCFKSkpiY2PXrVun0VBcDgAAAAAAAABAJ8GH/gAAAOhaJEmqu8fNza1v375RUVEJCQkGg0HZf/ny5eTk5DZPEAAAAAAAAAAAtBYKZQAAAICf+fj4PPHEE+rm119/7cJkAAAAAAAns4v09763P+2KqxMBAABAJ0GhDAAAAPALI0eOVNvHjh1zYSYAAAAAAFmIaotVll2dBwAAADoLnasTAAAAANoXo9GotquqquwHy7KclZX1448/njx58ty5cwUFBTqdLiAgYOjQoaNHj7722mvd3d2bl4bFYjl27NiBAwdOnjyZm5tbU1MTGhq6YsUKOy+prq5OTk4+cODA6dOnCwsLfXx8wsLCrr/++jFjxmi1WgfHde4ZWSyWw4cPf//996mpqUpKw4YNGzdu3PXXX9/sK5OXl3fgwIG0tLRTp06Vl5fr9frg4ODQ0NBx48b179/fwU5yc3MPHz589OjR8+fP5+fnazSa3r17Dxo0aMSIEeHh4X5+fs3LDQAAAAAAAADQzlEoAwAAAPxCZWWl2vb3928orLy8/F//+tfmzZtLSkps95vN5jNnzpw5c+azzz6TJGn+/PmRkZGSJNkZ8cqVK/PmzVPay5YtGzly5JkzZ5YtW1ar5+rqajudHDt27KWXXrJNPj8/f+/evXv37vX09Fy8ePGIESPsvNy5Z6Q4ffr0smXLSktLbVPKz88/cOCAh4fHc889N2rUqEY7sVVcXLxy5cpa0/yYzeaUlJSUlJSNGzcOGjTo+eeft1/mUlpa+re//S0lJaXW/uzs7OzsbGWxreHDhz/yyCNDhw5tUnoAAAAAAAAAgPaPpZcAAACAXzh58qTavv766xsKi42NTUhIqFVTUossy2vWrImLi7NarfbDLP8jhEhJSXn66aft91xLcnLy4sWLbatkbJWXlz///POff/65/U6ceEZCiD179jzzzDO2VTK2qqqqli5dqlSlOOjYsWNz5syxvxhWRkbGI488cuDAgYYCiouLH3300bpVMrWkpaUtWrSooesJAAAAAAAAAOi4mFEGAAAA+Flpaembb76pbt52223244OCgu66667hw4f37NnTYDAIISwWS2FhYXJy8nvvvWcymYQQR44cSUxMfPDBBx1J4PDhw9u2bRNCDBkyZM6cOUOGDDEYDLIs5+bmNlT/cfjw4a1btwohAgIC5s6dGxwcrNfrrVZrTk7Oli1b9uzZo4T9/e9/79evX3h4eBuc0fHjx9966y1189Zbb50+fXrfvn01Go3JZEpPT4+Pjz9//vzrr78+bdo0Ry5LZmbm4sWL1c2wsLBZs2YFBQW5ubnV1NRcvHgxMTHx4MGDytFXX311+fLlYWFhdfuJi4urqKhQ2hEREVFRUf7+/kajUZIkq9VaVlamTCqze/duR7ICAAAAAAAAAHQ4FMoAAAAAv6gFUecRmT9/fq9evRp6yejRo5977rmAgIBa+3U6Xe/eve+8885Jkya9+OKLaWlpQoikpKQpU6b4+vo2molS8jJ16tSHHnpIXd5IkqS+ffs2VFOivOTGG2986qmntFqtslOr1fr7+y9cuHDcuHHLli1Tdr788suJiYlubm6tekYWi2XFihXq5l/+8pexY8eqmwaDYeTIkW+++eZbb7311VdfbdmypdFrYrFY4uLi1M2HHnrod7/7nbrp5uY2cODAxYsXf/nll2+//bayc8WKFZs2bXJ3d7ft5+LFi+np6Ur7gQceuP/++22ParVab29vb2/vESNGREdH79ixo9HEAAAAAAAAAAAdDoUyAAAA6FqioqLUAhSFsuCRrQEDBsTExISEhNjpJzo62v5AHh4eS5YsmT17dlVVlRDiiy++mDlzpiMZhoWF2VbJOCIgIGDRokUaTT0rq1533XWPPfZYfHy8EMJkMn3++ef33HNPvZ0464z27NlTXl6u9mlbJaPSaDRPPPFEZmZmRkaG/UGFEF999dXVq1eV9uTJk22rZGxFRkZeuXIlKSlJCGEymbZs2VIrvbNnz6pt+zPZGAyGGTNmNJoYAAAAAAAAAKDDoVAGAAAAXYvVarUfMHny5IceeshoNLZ8LKPRGBUV9eGHH4qmFMrMmzevSVUyQogFCxbUWyWjuP322zdt2qQsOfTRRx/dfffdTe1f5cgZ/fOf/1QaBoPhrrvuaqgrSZIWLFiwaNGiRgdVOxRCPPTQQ3YiZ8yYsW3btpqaGiHEli1bZsyYYXtZ1GobvV7f0LQ6TXXx4sVnn33Wfozyn5zJZCoqKnLKoJ2ScpXMZjNXqeuw/dfYarVy67sOWZaV/+emdx3KTVeVlpY2+60IOqiysrKOctMr/7dMZ71s/1OWrXKDcc6jvLPtxGpqan9pwYWsdb5B4Yjy8nJ+oymUr6BUVVVVV1e7Ohe0Edu39BaLhZ+FrkO59TzHdSm13tIXFxd3lHd3cJaSkhJXpyAq/vdevdFP+B1BoQwAAADwC7t37969e3dUVNQf/vAHna6lb5jDw8OVspLCwkKTyaTX6+3H+/n5+fv7N2kIvV4fGhpqJ0Cr1UZFRW3atEkIUVZWlpOT069fvyYNYcv+GV29elWtR5k6daq6FFS9hgwZ0r17d/tPWfn5+Xl5eUp74sSJ9guY3N3d7777bmUtKrPZnJmZOWjQIPWol5eX0jCZTOXl5Z6enna6clBVVdWpU6fsxwwePFgIYbVaO/3fOVpOlmWuUpfFre+CuOldVt3J/NDpdaCb3kiqbVEb88sB5TYfsq21oxOUm5WMxWLhN5otq9XqlL9docPhaa4L4qZ3ZR3o3R2cpT38vDs3BwplAAAA0LVs27atbvWG1WotLy8/e/bspk2b0tPThRBbt249evToK6+80mhpi33e3t5qu7i4uNHebrzxxqYOMWHChEa/wzFq1CilUEYIkZGR0ZJCGftnlJmZqbavu+46+11JknTzzTfv2LHDTkxWVpbanjBhQqPp3XDDDUqhjBAiPT3dtlBm6NChavuVV1557rnnnDJvEAAAAAAAAACgA6FQBgAAAF1LvTUlGo3Gy8tr1KhR4eHhW7Zs2bhxoxAiIyNjxYoVy5cvt9ObLMvZ2dnHjx8/ceLExYsXc3JyqqqqbANsv0tXUlLSp08f++kNGDCgCScjhPhl/UdDbMe9cOGCncgWntGlS5fUtp+fX6OJKbOt2HHx4kW13b9//0Y77Nu3r9o+f/687aGBAwf6+/srHaampt5///0TJky4/fbbBw8eTMUMAAAAAAAAAHQRFMoAAAAAP5Mkadq0aYcPHz5x4oQQIjU1NS0tbfjw4fUGHzp0aP369bm5uQ52bjabG43x9fV1PFtF7969G40xGAxq+/Llyw2FtfyMbDt3pPqkV69e9gNsO+zevXujHdouqGRbZCOEkCQpLi4uJiamsrJS2bN///79+/cLIXr27Dl27NgxY8YMHz68SUsydevW7be//a39GGWWHa1W6+Hh4XjPXU1NTY3FYtFoNG5ubq7OBW1EuelKW5Ikd3d31+aDNmO1Wqurq4UQ/KvYdag3XeHu7t7oZHjoNJSSazc3N41G4+pcHGKx/1ZEslkpqE3+K+4o163Z2tW/BpLUnKvt5ubGbzRFdXW11WrVarUtX8IYHQVv6bssZdU5bnqXwlv6LkuWZeUT4PZw05275hfvVwAAAIBfkCTpgQceWLx4sbK5ffv2egtl4uPjd+7c6fTRm/GRoiOfStiuNlVrhhiVU87ItnTGkY/1G/1M2fYh3JGLYzto3TP18/N79913ExISvvzyS9v9V69e3bVr165du4QQ11133Zw5cwIDAxsdS+nwpZdesh8zd+5cIYSHh4eXl5cjfXZNZWVlFovFzc2Nq9R1lJeXq1VrkiRx67sOs9lcXV3NTe9Sqquri4uL1U2j0cjfULsO5f2Y0WjsKLWwVrsrpdr+ZaBt/k5Qd9HYTqZdnWDzypIMBgO/0RQlJSVms9nd3b1J3z1Ah1ZaWqr+zVKr1fKz0HWYTKaysjJlemZX54I2UlVVZfsZXbdu3Tp9OS8UVqu1oKBAtI+bribglEx4KAUAAABqGzhwoNr+7rvvZFmu9Tn4vn371JoSjUYzZcqUiIiI/v37e3p66nQ6SZLU+EuXLs2bN69Vs3Vkohrb9ZLqLaxx1hnZdq58m9B+Yg1V7ahs/6biyJcGbM+03ioco9H4+OOPR0dHHz169MCBA8nJybVySElJSUlJiYqKmj17tsu/JwEAAAAAAAAAcC4KZQAAAIDaaq0ZVFlZabvHYrGsX79eaXfv3n316tV21kty7oSQ9crPz280pqKiQm3369ev1lEnnlGfPn1sB/X29raf2NWrV+0H2HZYWlra6HcTy8vL1Xb//v0bCjMajePGjRs3bpwsy0VFRRkZGd9+++3XX3+tnt3WrVsDAwMnTpxofzgAAAAAAAAAQMfCnEgAAABAI2xnFhVCXLp0Sa3GWLhwoZ2aEiHElStXWjEzIYQQ6enpjcbk5eWp7YCAgFpHnXhG/v7+ajs3N7fRxDIyMuwH2GZ76dKlRju0TS8oKKjReEmSfH19R48e/eSTTyYlJUVHR6uH4uPjbeenAQAAAAAAAAB0AhTKAAAAALXZzr8i6qzgc+HCBbUdEhJiv6vDhw87MbF6ffvtt7Is2485cuSI2r7mmmtqHXXiGdmuWmU7aEP+/e9/2w8IDAxU2999912jHSYnJ6vtwYMHNxpvS6fTTZ06NTIyUtmsqKhQluAFAAAAAAAAAHQaFMoAAAAAtWVmZqptT09PvV5ve7Sqqkpta7VaO/1UVVXt3r3b2dnVVllZefr0aTsBFotl69atStvT07PugkROPKNevXqpE9Js27bN/jpN6enpxcXFdgKEEL179+7Vq5fS/vLLL00mk53g6urqHTt2KG13d/dBgwbZ77xe48aNU9ulpaXN6AEAAAAAAAAA0G5RKAMAAAD8gizLH3zwgbp5yy231ApQ6zaEEFlZWXa6SkhIqKmpcW569VqzZo2dRYL27NlTVlamtO+9915JkmoFOPeMZsyYoTQqKiq++OKLhsJkWV67dq39rmp1WOvW1LVt2za16Oeee+7RaJrzvGM7i0y3bt2a0QMAAAAAAAAAoN2iUAYAAAD4hW3btp04cULdvOeee2oFBAUFqe2333673sIRWZY/+uijXbt2tVKStZw/f3716tX11sqkpqauWbNGaXt4eEyZMqVujHPPKDIy0mg0Ku3169f/8MMP9fa2du3a9PT0RnsTQkyaNEmdpWb79u0NTWnzzTffbNq0SWl7eHjce++9tQI+/vjjY8eO2Z/kprKy8v3331faer3etoQIAAAAAAAAANAJUCgDAAAACFmWKyoqjh07Fhsb+49//EPd/4c//KFPnz61gr28vMaPH6+0s7OzFyxYkJqaqi4JVFFRkZqaumjRosTERCHE9OnTWzv5u+66Swixd+/ep5566sSJE2azWQhhtVpzc3Pj4+NfeOEFNTI2Ntbd3b1uD849I51O99xzz6mbS5YsWbduXU5OjlLHYzab09LSFi1apNS71K1Dqkur1dqexZo1a1asWHH+/HmloMdisVy4cOH1119ftWqVGvPnP/+51oJZQohz584tXrx4xowZ8fHxqampBQUF1dXVyiGLxVJYWLhv377HHnussLBQ2Tlv3ry6s+8AAAAAaGO/GuBj2frQjaG1H80AAACA5tG5OgEAAACgTUVFRdWqfpBlud65WCIjI+vOSqKIiYlJTU1V1jO6fPmybRmHrQULFoSFhW3evLnFWdtzww03DB8+fOXKlRkZGbYVKrU8/PDDY8aMaeioc88oLCzsj3/847p165TNXbt21TsVTUxMzMCBAz/55BP7vQkhhgwZEhcXFxcXp9ypgwcPHjx4sKHgp556avTo0Q0dNZvNO3fu3Llzp/0RJ0+eXHfVLQAAAAAAAABAR8eMMgAAAOharFar5ZfqVsn069fvpZdeevzxxxuaUMRoNK5bty44OLihUfR6/dKlSydPnuzM1Bs2YcKEpUuX1jtbjBDCYDAsX77c/twtTj+j22+//eWXX/b09Kz3qE6nW7x48W233eZgb0KI8PDwd999NyQkxE5MYGBgfHz8zTff7Hi3dXl5eT3zzDPz589nOhkAAAAAAAAA6HyYUQYAAAAQOp2uT58+AwcODAkJGT16tL+/f6NFEt7e3q+99trZs2f37dt3/Pjx7OxsIYSfn19oaGhERER4eLibm1ub5P5fo0aNSkxMPHjw4IEDB06dOlVUVNS9e/fw8PDrr7/+hhtu0Gq1jfbg9DP61a9+tWnTpkOHDn3//fc//PBDUVGRj4/P0KFDJ0yYcMMNN9RdGqlRvr6+K1euzM3N3b9//8mTJ9PS0srKyoxG47Bhw0JDQ8eNGxcQEGDn5bGxsXl5eVlZWZmZmT/99NPly5fz8vIqKyutVqu3t3dgYGBoaGh4eHhwcLBGwzcKAAAAAAAAAKBzkmRZdnUOAAAAANBpzZ079/Dhw/Pnz4+OjnZ1Lu1XWVmZyWTy8PDw8vJydS5oI+Xl5ZWVlUpbo9H06NHDtfmgzZjN5pKSEkmSevbs6epc0Eaqq6uLi4vVTR8fH52OL+91Ffn5+UIIb2/vNi4ib7aq8xfKk39o6GjBpCGy5r/19KkZ3cyWVv9ovVd5jVxiau1RnOuee0dXVf33V/wfnpw/5+kYO8E9JMuvKy61SV6NM5s06XuKmvqqwHvGe13TtzXy6XBKSkrMZrPBYGhoYlF0PqWlpVVVVUpbp9P5+Pi4Nh+0GZPJVFZWptVqfX19XZ0L2khVVVVpaam62aNHD75m1kVYrdaCggLRPm56eXn5b37zGyHExx9/PGjQoBb2xkMpAAAAAAAAAADCIyjAI6jBSQptizqHhrdBOh2SVvvz3JwDu/W41d/e2qlCCCF+1ar5OM5DiF+NcHUSAAAAaBOUegEAAAAAAAAAAAAAAKBLYEYZAAAAoGMzmUwzZ85U2jExMRMnTmxhh2fPno2NjVXaa9eu7devX2uPCAAA0A5d/SHdUlnl6iw6NmXVLbOnJ+tttQduHloPj3r2l3sYLhmdtmCKbLMgVaG58lxJvrN6RjtXXl5eU1PjYTXpLZWuzgVCCOGhFQbtL1aIc9MIvc7aULymxqorK2/SENqKCrfq6v+2tVph7daMPNERacxmt8pKjUYj5KvO6dGrv3AzOqcrAHAMzycAAADAz2bOnGkymWz3JCQkOL7i8uLFi0+ePGm7Z+XKlUOHDnVafg2wWCxKw2pt8DOv5nUoy7L9AGeNCAAA0N58/fsVxaeyXJ0F4DQjpoV75qbX3X/y5t++bAx21ig1NT8/IBzMz1yZ+qWzegbQJL/u6ddbf8V2T4iPT0/9hYbiPSw+Pl/vbtIQeiH0Npt8OtB16ITwEkI476ZL4xdJfu1lJT4AXQRLLwEAAAA/s9Tx9ddfO/jaoqKiY8eO1Xp5q2YLAAAAAAAAAACahEIZAAAAwJ7Nmzc3NKtKLfv27WvlXAAAAAAAAAAAQItQKAMAAADUQ6PRSJIkhCgpKcnIyGg0XpblzZs3K213d/fWTQ4AAAAAAAAAADQLhTIAAABAPYxGY2RkpNL+7LPPGo0/d+5cSUmJEEKj0dxxxx2tm5yr6fX6Hf8zadIkV6cDAAAAoHMqzLz4zsRZOT+ednUiAAAA6FQolAEAAADqp9a77Nmzx2w22w9Wi2kmT57cp0+f1s0MAAAAALoCWbbWWFydBAAAADobCmUAAACA+g0cONDX11dpp6Sk2Imsqqrau3ev0r799ttbPTMAAAAAAAAAANAsOlcnAAAAALRTkiRNnz59w4YNQojNmzePGzeuoUi1jMbX1zcoKOjEiROOjyLLctb/Z+/e45ss78f/X3eStmlKm5YeQA4FQQoFChaECQLOqiiCGxYU6j7A1qkwsOLny2AfHjjGQTc25+YJGMUPftAxlCoyRAGPyOGnKyAWyqkchBZKoSfatGmSJrl/f9zbvayUNG2TJm1ez7/e953rvq537qstSXjnugoLjx49euLEiXPnzlVUVOh0uh49evTr12/48OFDhgwJDQ1t5RNpwOFwHD58+JtvvsnLy6usrIyOju7fv//o0aN/8IMfeH0sr3M4HMePHz9y5MiJEycKCwvtdntsbGxKSsrtt98+YsQIz/O/du3a4cOHv/vuu4sXL5aVlWk0mvj4+D59+gwePDg1NTUhIcGnzwIAAAAAAAAA4C8UygAAAAA3NW7cOKVQ5uzZs+Xl5bGxsY02y8nJUYJHH31UkiQPO6+trf3000/fe++96upq1/M2m62goKCgoOCjjz6SJGnu3Lnjx4/3vFv3Tp8+vWLFCpPJpJ4pKysrKys7cOBAWFjY4sWLhw0b1mQnFoslIyNDibOystLS0lwf3bFjx//+7/8q8euvv969e/cmO3Q4HD/5yU+sVqsQIikp6fe///2NbWRZ3rVr14YNG5RmquLi4uLi4t27d2u12qeeeurBBx90f69MJtOf//znG5cIKioqKioq+uqrr4QQycnJTzzxRL9+/ZrMHAAAAAAAAADQvrD1EgAAAHBTRqNx0KBBSvzll1822qasrOz8+fNKPHbsWM87X7Ro0YYNGxpUyTQgy/Lq1auXL1/udDo97/lmPvvss4ULF7pWybiyWq3Lli1TKkWa5PiXGxMbO3as+uju3bs96e3EiRNms1m5ZMqUKTc2MJvNCxcuXLt2bYMqmQYprV27duXKlQ6H42ZtqqqqnnzySfcbaQkhTp48uWDBgrq6Ok+SBwAAAAAAAAC0I6woAwAAALgzdepUZSulrVu3Tpky5cbVSj7//HMlSElJMRqNze2/V69eDz/8cHJycmxsbHh4uBDC4XBUVlbm5uZu3LjRYrEIIb799ttNmzbNmDGjNU8kPz//1VdfVQ/vvffeqVOndu3aVaPRWCyWs2fPZmdnX7x48aWXXmq0VMVzRqMxJSXl2LFjQogdO3bMmjVLq9W6v+SDDz5QAo1Gk5qa2uBRq9U6f/78q1evKofx8fGzZs0aMmRIVFSUJElWq7WgoGD9+vUXL14UQhw6dOill15atGhRowMtX77cbDYr8ahRo9LT07t3724wGCRJcjqdNTU1yqIyHtb3AAAAAAAAAADaHVaUAQAAANwZOnSoUudRU1Nz5syZBo86nU61yKO59SXDhw9fs2bNa6+9Nn78+J49eyrlGpIk6XS6+Pj4iRMnvv3228nJyUrjnJycysrKFj8Lh8PxwgsvqIfPPffc/Pnzu3fvrtVqJUkKDw9PSUl55ZVXlE2U3n///RYPpFBvhd1uP3r0qPvGJpNJXeLlwQcfDAkJadDg1VdfVatkHnrooezs7HHjxkVHR2s0GkmS9Hr9kCFDXnnllfHjxytt9u/fr5TpNHD58uWzZ88q8eOPP7548eL+/ft36tRJ6Uer1RqNxsGDB8+bN+/dd9/9yU9+0qKnDgAAAAAAAAAIaKwoAwAAALij0+keeuihDz/8UAixY8eO//f//p/ro6dPn1ZWKNFqtUOHDm1Wz5mZme4bhIWF/eY3v5k1a5ay39CuXbsyMjKal/2/fPbZZ7W1teq4I0eOvLGNRqOZP3/+hQsX1J2kWkypLlK2QNq6deuNi8S4OnDggBpPmDChwaNnz57dt2+fEo8cOXL27Nk3LuqjJD9v3ryCgoILFy4IIV5++eU33nijQUvXOif3VU3h4eHTpk1z00BVVVX18ccfu2+jTF99fT17Oblht9uFEA6Hg7sUPJRJV8iyzNQHD+VfByY9qDTYFdFqtdbX1/srmWaRZdnfKQDedLPtXJ0OL2zzCiDQ3Pgr735PZ6/s+Ay0jNVqlXl3ENhc38ILISwWS6Mf0KHjUd8TBcKkqx8jeOWdGoUyAAAAQBMefPBBpVBmz549c+fO1ev16kPbt29XgokTJza5wVALGAyG9PT0zZs3i9YVyrzzzjtKEB4e/vDDD9+smSRJ8+bNW7BgQctGUWm12ocffnjbtm1CiLy8vOrq6qioqEZbyrKck5OjxHFxcYmJiQ0a/O1vf1Pj+fPnu3k/JklSVlaWknxpaemlS5d69uzp2qC8vFwJ9Hr9jevWtEx5eflLL73kvk3fvn2FEPX19WqtEm4P9pjFAAAgAElEQVTGbrc3+OQFQUKWZX5BghCTHrTaUY0U/2WIDqZB1ZqKH3WgQ7rxV959VRx/CuBHFovFzruDdkXd2RzBIxAmXc3BK4UybL0EAAAANKFHjx7x8fFKfPDgQfW82WxWV0N54IEHfDS6uhxLZWWlxWJpQQ/l5eVqjcjkyZPdF/TcdtttNytqaRbXG6IuCXOjS5culZaWKvFjjz3WoA6mrq5O3ZXp7rvvjoyMdD/obbfdFh4ersRff/11g0fVyy0WC/87CwAAAAAAAADBiUIZAAAAoAmSJD366KNKrC5/IoT45ptvlCAhIaFHjx4+Gt1oNKpxVVVVC3pQdiNS3HHHHe4bS5L0wx/+sAWjNNC9e/dbbrlFibds2XKzMn/XfYvGjBnT4FHXzMeOHdvkoJIkpaSkKPGpU6caPNqvXz81XrVqVSB8DQIAAAAAAAAA0MbYegkAAABo2l133bVmzRohxIULF0pLS5UFZrZs2aI8+uijj7Z4i1ZZlouKivLz848fP3758uWSkhKr1erawHX14+rq6i5dujR3iOLiYjVOSEhosr2yVVDrTZs27eWXXxZCVFZWXrx4sXfv3g0a1NfX79y5U4nvuOOOTp06NWhw6dIlNb5xV6ZG9ezZMzc3Vwhx+vTpBg/17t27e/fuly9fFkLk5eVNnz59zJgxEyZM6Nu3r8Fg8Px5AQAAAAAAAADaLwplAAAAgKZFRkYOGzbs22+/FUJ8/vnn06dPv3LlilqActddd7Ws24MHD65bt+7atWsetrfZbC0Y5cqVK2rsSUVIXFxcC0a50Z133qnGO3fu/MUvftGgQV5enloG9Mgjj9zYQ1FRkRo/88wzGo1G/GsPWlmW1UAI4XQ6lUDdhd1kMsmy7FrAJEnS8uXLs7Ky6urqlDP79+/fv3+/ECI2NnbkyJEjRoxITk6OiIjw/DneeuutSl2OG8oTNxgM3rqxHVJNTY3FYgkLC2tygy10GLW1teovo0aj6dy5s3/zQZux2WzV1dWSJMXGxvo7F7SR+vp611XxoqOjdbr28Zmk+w0rgXYnJCSk0fO6kPbxKwmgWW78lXf/y95e/nVGh2Q0GiU+MwlsVqvVZDKph507d1Y+pkOH53Q6KyoqRGBMem1trRJ4JRN+ggEAAACPqJUc27Ztczqdn3zyiXLY6FIonsjOzl65cqXnVTIt5lpe48m7iLCwMK+MazAY1BKiXbt21dfXN2ig7mOl1+sHDhx4Yw/qf6ILISwWi9lsNpvNdXV1dXV1FovFarVarVabzWaz2ex2u8PhUKtkbiYhIeHNN98cP358g/Pl5eU7d+5csWJFRkbGihUrCgsLPXyOkiRpmuJhVwAAAAAAAACANkB9KAAAAOCRwYMHh4aG2mw2s9l86NChDz/8UDnf6FIoTdqzZ8+OHTuUWKPRTJo0adSoUd26dYuIiNDpdJIkqUuhFBcXz5kzpzWZh4aGqrHT6Wzyu9EN9n5qjR//+McHDhwQQsiyfOTIkZEjR6oPVVZWnjx5Um3WaFa++EKbwWB4+umnMzMzv/vuuwMHDuTm5jZ4vocOHTp06FB6evqsWbNavKMWAAAAAAAAACAwUSgDAAAAeESr1U6aNGnr1q1CiFWrVtntdiFEWFhYo0uhuOdwONatW6fEUVFRr732WkxMjJvGLU35n7p06aLGZrPZaDS6b19eXt7KEVX9+/ePiIhQVsXcsmWLa6HMV199pcb3339/o5e7Zr558+ZmbYrknsFgGD169OjRo2VZvn79+vnz5/ft2/fVV1+pd3vr1q2JiYlpaWneGhEAAAAAAAAAEAhYBhwAAADwlLplj1IlI4R4+OGHm1yg5UbFxcXqjqrPPPOMmyoZIcTVq1eb238D3bt3V2NPdno6f/58K0dUSZKUnp6uxAUFBZWVlUosy/J7772nxL169UpISGj08ltvvVWNS0tLvZVVgwxjYmKGDx/+7LPP5uTkZGZmqg9lZ2c7nU5fDAoAAAAAAAAA8BcKZQAAAABPdevW7ZZbbnE9c7OlUNy7dOmSGg8YMMB948OHD7dgCFe9e/dW42+//bbJ9l9++WUrR3TluiiL2vO5c+eqq6uV+LHHHrvZta6Zt/4+NEmn002ePFkthzKbzRUVFb4eFAAAAAAAAADQliiUAQAAAJrh0UcfVePu3bs3qJvxkNVqVWP3C9JYrdbdu3e3YAhXcXFx6qI1H3zwgfu9nM6ePVtVVdXKEV3FxsYmJSUp8fvvvy/LshBix44dagPX/ZgaMBqNycnJSrxlyxZ1IR+fGj16tBqbTKY2GBEAAAAAAAAA0GYolAEAAACa4b777tv+L2vXrm1ZJ3FxcWpcWFjopuWGDRu8Uh0ybdo0JTCbzbt27bpZM1mW16xZ0/rhGlCri0wm09mzZ61W6xdffKGcuffee8PCwtxcO3PmTCWoq6tbv36913O7kesqMp06dWqDEQEAAAAAAAAAbYZCGQAAAKCt9erVS41ff/31RkthZFl+9913d+7c6ZURx48fbzAYlHjdunVHjhxpdMQ1a9acPXvWKyO6GjZsmCRJSrxjx46DBw+qD02aNMn9tYMGDRozZowS79y5c8OGDe5XxBFClJWVvf3227W1tQ3Ob9my5dixY+4vr6ure/vtt5VYr9e7ljQBAAAAaGMxt/Z4au+mrkP6+zsRAAAAdCgUygAAAABtLTIy8q677lLioqKiefPm5eXlWSwW5YzZbM7Ly1uwYMGmTZuEEFOnTm39iDqdbvHixerhb37zm7Vr15aUlDidTiGEzWY7efLkggULlG2efvzjH7d+RFchISEPPvigEn/55Zf/93//p8RGo7FPnz5NXj5//nx1i6tt27bNmDHjo48+Kikpsdlsykmn01lbW3vx4sVdu3Y9++yzmZmZOTk5ylNzde7cuSVLlkybNi07OzsvL6+ioqK+vl55yOFwVFZW7tmz56mnnqqsrFROzpkzR63vAQAAAAAAAAB0DDp/JwAAAAAEo6ysrLy8vJqaGiHElStXfv3rXzfabN68eUOHDn3vvfdaP+LQoUN/8YtfqNtF7dy5s9HlarKysnr37v33v/+99SO6euihh9Thrl27pgSPPfaYJ5UoYWFhr7zyysqVK48dOyaEqKmpWbduXYszsdlsO3bs2LFjh/tmDzzwwD333NPiUQAAAAAAAAAAgYkVZQAAAAA/MBgMa9euTUpKulkDvV6/bNmyBx54wIuDTpgw4Xe/+11ERESjj+p0uiVLltx///1eHFGVmJh44zZG48aN8/ByvV7//PPPP/fcc0aj0X1LSZLGjx//2muvRUZGtiRRISIjIxcuXDh37lyWkwEAAAAAAACAjocVZQAAAAD/MBqNL7744pkzZ/bs2ZOfn19UVCSESEhIGDhw4KhRo1JTU0NCQrw+6KBBg/76178ePHjwm2++OXLkyPXr16Ojo/v16zdmzJg777xTr9d7fUSFJEmPPfbYmjVr1DMpKSlNVr006GHkyJFvvfVWYWHhwYMHz5w5U1BQcP36dSFEQkJCz549+/btO2TIkKSkpJvdt0WLFpWWlhYWFl64cOH777+/cuVKaWlpXV2d0+k0Go2JiYkDBw5MTU1NSkrSaPhGAQAAENHJibrwUH9n0b7Z7XYhhFarpQQ5EIR2idUbG+5PKoQwdo7sb2xhlfmN8l2mOjJE37NTjLd6RoBzOByyLGs0Gt5PBYiYsPDosP/4BQzVRIRoGn6DRaV16EV0YrOGcDqd6q7HkiRptdoW5In2SJl6L066pPPV51EAcDOSLMv+zgEAAAAAOqzZs2cfPnx47ty5mZmZ/s4lcNXU1FgslrCwsBYvBYR2p7a2tq6uTok1Gk3nzp39mw/ajM1mq66uliQpNjbW37mgjdTX11dVVamH0dHROh1f3gsWZWVlQgij0eiLEnAEpoiICLPZrMTPPffcypUr/ZsP2kx1dbXNZgsPD7/ZIqboeEwmk9VqVWKdThcdHe3ffNBmLBZLTU2NVquNiaEaMlhYrVaTyaQedu7cmbLIIOF0OisqKkRgTHptbe3dd98thNiyZUufPn1a2Rs/wQAAAAAAAAAAAAAAAAgKfHsDAACg47t27dqRI0dOnDhx7ty5a9euKRvN9OzZs3fv3gMHDuzfv3+TO+BYLJaMjAwlzsrKSktL833W6Pj4uQIAAAAAAAAAtDEKZQAAADqy8+fPv/7662fPnm1wvrS0tLS09Ntvv926dasQIjEx8Uc/+tGYMWMMBsPNunI4HEqg7j/dTmVkZFgsluZeFR8fn52d7Yt8glyH+bkCAAAA0EDOdyVH133t7yzgTVN+IBJirwkhekR0Sgi/ppyM/UeBZKszOJ3hsixJktOr+zLY5S5H36ka/sZSScsOCQAAwGsolAEAAOiYZFl+5513Nm/e7EnjwsLC119/fdOmTRs3bvR1Yn7ncDjU4oxmXeWLZAAAAACgo6q22i9dr/N3FvCmGpvWUF8jhLA7dQ65+p9nzaXCavZVGUtohL2iuulmAAAAzUGhDAAAQMe0Y8cO1yqZlJSUKVOm9O3bt1OnThqNxul0VldXFxYW7tmz5/PPP/djnjdTXV09a9YsJV64cOHo0aP9m0974d/7xqwBAAAAAAAAAAIchTIAAAAd0NWrV9evX68eLlu2bNiwYa4NtFptTExMTEzM0KFDZ8+e/eGHH27atKnN02yCuoiLLMs+GuKDDz7QarU+6txf2uC+BezoAAAAAAAAAAC4R6EMAABAB5STk6PGTz/9dIMqmQb0ev2jjz46ceLELVu2uGmzfft2b6YYGCRJ8ncKQa2j/lwBAAAAAAAAAAKWr3aNBAAAgL/IsvzZZ58psUajuffeez25ymAw/PSnP/VhWgAAAAAAeMxy7eKRJQ/UXMj3dyIAAADoaCiUAQAA6Giqq6udTqcSJycnd7ythQAAAAAAHZ8syw67YFNXAAAAeBtbLwEAAHQ0dXV1ahwVFeXHTGRZzs/P37t379GjR8vLy8PDw/v37z9ixIixY8caDAY/Jhb4rl27dvjw4e++++7ixYtlZWUajSY+Pr5Pnz6DBw9OTU1NSEjw+oiyLBcWFh49evTEiRPnzp2rqKjQ6XQ9evTo16/f8OHDhwwZEhoa6vVB/ajt7zAAAAAAAAAAIBBQKAMAANDR6HT/fo134cIFr/RpsVgyMjKUOCsrKy0trUGDq1evzpkzR4lXrFiRkpJSUlKydOnSkpIStY3NZsvNzc3NzV2zZs2CBQvGjRvX6Fhz5869cuWK7PKtwT/84Q8aTSNLIebk5Lg+Wb/Yt2/fn/70JyXetGmT+wKgY8eOLV26VImzs7Pj4+NvbGMymf785z8fOnSowfmioqKioqKvvvpKCJGcnPzEE0/069fPtUGL71ttbe2nn3763nvvVVdXuzaz2WwFBQUFBQUfffSRJElz584dP368JEmNPrWWjd7kz5UIpDsMAAAAAAAAAOgAKJQBAADoaIxGoxpfuXKltLS00XKB5nI4HEqg7uvkSpZltYEQ4uzZswsWLJBvskS2LMt//OMfa2trJ0yY0OhArl3d2HlAaW5uauNGb05VVdXs2bPNZrP7Tk6ePLlgwYJ33303PDzcteeW3bdFixYVFRW5byPL8urVq7/++uulS5c2Wv7S4tHd/1x53s+NHXr9DgMAAAAAAAAAOgAKZQAAADqakJCQAQMGnDp1SjlcuXLl7373u4iIiDZLID8/PycnR5blAQMGzJw5s0+fPuHh4bIsl5WV5eTk7N69W2m2du3aUaNGRUdHt1ligW/58uVqDceoUaPS09O7d+9uMBgkSXI6nTU1NcqSJ+o99KJevXo9/PDDycnJsbGxSnWIw+GorKzMzc3duHGjxWIRQnz77bebNm2aMWOG10dvM368wwAAAAAAAACAQEChDAAAQAf0+OOPqxvQXLhw4b/+67/S09PT0tK6det2s61zvGjz5s1CiJkzZ06ZMkUdTpKkhISEefPmJSYmrl+/Xjn5/vvv//znP29w+bp164QQ169fnzlzpnJm4cKFY8eO9XXafnf58uWzZ88q8eOPPz59+nTXR7VardFoNBqNgwcPzszM3L59e4PLW3zfhg8fvnjx4h49ejQ4r9Pp4uPjJ06ceN999y1duvTkyZNCiJycnEmTJsXExHhr9LbUyjsMAAAAAAAAAOgAKJQBAADogG6//fZRo0Z9/fXXyqHD4cjJycnJydFqtcOHD09JSUlKSurRo0dkZKSPEkhLS5s6dWqjD02aNGnbtm2lpaVCiN27d2dmZjZau+O6v0+je/14RXp6uoeVQ2vWrLnlllt8lIbizJkzajxlyhQ3LcPDw6dNm9boQy24b5mZme4bhIWF/eY3v5k1a5bVahVC7Nq1KyMjw1ujtyWv3OEGlHVo3LdRNoGSZflmm5HBFXcpaDH1wUOdayY9eDSYa/5NDEJMOoBW+Of7KcGfkYDHn/ogxKQHD17SBy3Xt/B+n3TvJkChDAAAQMe0aNGi7OzsnTt3up50OBy5ubm5ubnKYVxc3Pjx49PS0hISErw7+o3rxKgkSUpPT1cWILFYLBUVFbGxsd4d3XNOp9PDlm3wNqC8vFwJ9Hp9SEiIr4drFoPBkJ6erqwV5KZQJsD54g5fuHDhsccec9+mb9++Qoi6ujo1AdyM1WpV6rEQbJxOJ78gwUaWZSY9aFVVVfk7BbS16upqf6cAwDvq6+uVwG6vV0/Ksuy7pWvtdnu9vb68vFzSBtyXMeDKbrfz6i7YOBwOJj1oVVZW+jsFtLVAmHSz2awEnn+q7wYvLAAAADomrVb7i1/84tVXX01NTb1Zm7Kysr/97W9PPPHEihUrvPjhdWpqqvu1apKTk9W4oqLCW+O2d+pNs1gstbW1/k3mRuoPUmVlpcVi8W8yLRPgdxgAAAAAAAAA0AZYUQYAAKAj69279/Lly6uqqvLy8vbu3Xv48GGHw3Fjs0OHDs2cOfO3v/3twIEDWz/oiBEj3DcwGo1qfP369daP2GIffPCBVqv1YwKu+vXrp8arVq1avHixwWDwYz4NuM5aVVWVXq/3YzItE+B3GAAAAAAAAADQBiiUAQAA6PiMRuO4cePGjRsny7LJZCouLj5+/Phnn312+fJltY3T6fyf//mf9evXd+nSpZXDde3a1X2D0NBQNbbZbK0crjUkyXfrQzdb7969u3fvrkxKXl7e9OnTx4wZM2HChL59+7ZBPYcsy0VFRfn5+cePH798+XJJSUmDHXBcF7Ssrq5u/c9J2/PvHQYAAAAAAAAABAIKZQAAAIKIJElRUVFRUVEDBgyYMmVKSUnJX/7yl2+//VZt8Lvf/e7ll19u5ShhYWGt7CE4SZK0fPnyrKysuro65cz+/fv3798vhIiNjR05cuSIESOSk5MjIiK8PvTBgwfXrVt37do1D9v7t7ypxXxxh+Pj45cuXeq+zdatW4UQoaGhnTp1amnuHZ/Vaq2vr9fpdO1xsSK0jDLpSixJki/+uCEw2e12ZQs//ioGD4fDof7jK4QwGAwaDdvBB4uamhohRHh4eOCs4wigNdTfZddfap9+BUWr0Wo12k6dOkla/u0IOBaLxW63K7FGo+ErKMGjvr7earXyPi6oqO/jFBEREQH1/UP4jizLyhb2gTDpagJeyYRCGQAAgODVtWvXZcuWbdy48f3331fOnD9/vri4uFu3bv5NLGglJCS8+eabGzZs+OSTT1zPl5eX79y5c+fOnUKIO+6446c//WliYqK3Bs3Ozt6xY4e3egtwXr/DkZGRP/rRj9y3+eijj4QQlIC4Z7fb6+vrtVotdyl4OBwO10IZpj542Gw2i8XCpAeV+vp610KZ0NBQnY7PJIOFUigTGhoaEhLi71wAeIFa6ShJbVS2Imk0Go1Gr9dTKBOA6uvrXQtleHUXVKxWK5MeVKxWq2uhTFhYGLXvQcLpdCqFMoEw6Q6HQwkolAEAAIAXzJgx44svvqisrFQOT5w4QaGMHxkMhqeffjozM/O77747cOBAbm5ugy2QDh06dOjQofT09FmzZrX+LcGePXvUKhmNRjNp0qRRo0Z169YtIiJCp9NJkqQOUVxcPGfOnFYOFwja+A4DAAAAAAAAAAIKhTIAAADBTqPRPPTQQ5s2bVIOv//+e//m037Jsuy+gVrz3iSDwTB69OjRo0fLsnz9+vXz58/v27fvq6++UnvYunVrYmJiWlpaaxJ2OBzr1q1T4qioqNdeey0mJqb1yftOu7vDAAAAAAAAAIBAw5pIAAAAED169FBj14Xx0STXfdmbrNIoKytrbv+SJMXExAwfPvzZZ5/NycnJzMxUH8rOznY6nc3t0FVxcbGycqYQ4plnnnFTJSOEuHr1amvGarF2fYcBAAAAAAAAAIGGQhkAAACImpoaNTYajX7MpFFNriPiR1FRUWpsMpncN87Pz2/NWDqdbvLkyePHj1cOzWZzRUWFm/ZN3rdLly6p8YABA9w3Pnz4sGdpejq6hwL5DgMAAAAAAAAA2h0KZQAAACAOHjyoxklJSX7MRKXR/PuVqt1u92Mm7sXFxamx+12rbDbbnj17Wj/i6NGj1fjGwpFm3Ter1arGrgu3NNpy9+7dTebmi1kLtDsMAAAAAAAAAGjXKJQBAADoaMxm87Zt2+rr6z1sX1xcnJubqx42ubJI29Dr9WpcWlrqx0zcS0hIkCRJibdv3+6m5bvvvuuVfXxc1zjp1KlTg0ebdd9ca1AKCwvdtNywYYMnhS++mLVAu8MAAAAAAAAAgHaNQhkAAIAOaMOGDRkZGe+//77ZbHbfsqSkZNGiRerhqFGjYmJifJydR3Q6XUREhBK7LngTaLRa7ZgxY5T41KlT//jHPxpt9sUXX+Tk5LjvasuWLceOHXM4HG7a1NXVvf3220qs1+tdK10UzbpvvXr1UuPXX3+90VIYWZbffffdnTt3uu+qBaN7KNDuMAAAAAAAAACgXaNQBgAAoGOy2WwbN26cPn36888/v3///suXL1ssFuUhWZbNZvOpU6defvnlp556qrq6WjkfGRk5f/58/6XcUFpamhKcOnXqww8/NJlMsiz7N6VGzZgxQ41feOGFzZs3X79+XUnVarWeOXNm2bJlL7/8slarffTRR930c+7cuSVLlkybNi07OzsvL6+iokJdFsjhcFRWVu7Zs+epp56qrKxUTs6ZM0ddasWV5/ctMjLyrrvuUuKioqJ58+bl5eWpPydmszkvL2/BggWbNm0SQkydOtWTu+GLWQu0OwwAAACgDei79B626vNOt6b4OxEAAAB0NDp/JwAAAADfys3Ndd1Z6WZiYmL++Mc/GgyGNkjJQ5MnT/7www+VeP369evXrxdCaDQatXYhJydHp2vVC9r09HTPKyH+8pe/dOnS5cbzXbt2zcjI2Lx5s3K4efNmNXa1atUqm83W5KonNpttx44dO3bscN/sgQceuOeeexp9qFn3LSsrKy8vr6amRghx5cqVX//61432OW/evKFDh7733nvus2ru6B4KtDsMAAAAAAAAAGi/WFEGAACgozEYDBs2bMjMzOzevbsn7cPDw5988sk33ngjPj7e17k1S3x8/K9+9asGhSxOp9PxL60fwrW3JrlZGWX69Olz5sy52aNxcXGrV6/u379/6xMWQkRGRi5cuHDu3Lk3K/Fp1n0zGAxr165NSkq62XB6vX7ZsmUPPPCAh+n5aNYC6g4DAAAAAAAAANovVpQBAADogOLi4iZPnjx58mSTyXTmzJnTp09fuHDh0qVLV69era+v1+v1t9xyS48ePW677bahQ4cmJiZqtVp/p9y4u+6665133vnmm28OHjx44cKFkpISu93u76QaIUnSQw89NHbs2L179x48ePD06dNmszkuLm7QoEE//OEPhw4d6skdXrRoUWlpaWFh4YULF77//vsrV66UlpbW1dU5nU6j0ZiYmDhw4MDU1NSkpCSNpol692bdN6PR+OKLL545c2bPnj35+flFRUVCiISEhIEDB44aNSo1NTUkJKRZd8MXsxZodxgAAAAAAAAA0E5Jbr4XCwAAAABopdmzZx8+fHju3LmZmZn+ziVw1dTUWCyWsLCwyMhIf+eCNlJbW1tXV6fEGo2mc+fO/s0HbcZms1VXV0uSFBsb6+9c0Ebq6+urqqrUw+jo6Fbunol2pKysTAhhNBqbW3uN9isiIsJsNivxvAW/+u//aXx3V7RTUeHOsBCnEEInyaHaf/7vkq62TshyTU2N8s2c8PBwL47orBfmckenfj0FS34GHpPJZLValVin00VHR/s3H7QZi8VSU1Oj1WpjYmL8nQvaiNVqNZlM6mHnzp35mlmQcDqdFRUVIjAmvba29u677xZCbNmypU+fPq3sjTelAAAAAAAAAADAy2LCQ/rGRfg7C/heZIwQwimqHTabMzxcRHhz0jVCdKK2FgAAeBulXgAAAAAAAAAAAAAAAAgKrCgDAAAAoB2zWCwZGRlKnJWVlZaW5t98AAAAgGAgf79HWKtvPC/JDjUuOFG67d2jTXZV0SPS0WSjmwjRibhbalt6dVvrFKJN0Ns9bx+ikW4xWFs/bphdG2Kra30/TYxiteocDp2sE/ZQ5UzlF9fs1Rb3V8mStviCz3NrG/q4qAFzf+zvLAAAgEcolAEAAAACWkZGhsXS+GeLWq02IiIiMTGxV69ew4YNS05O9u5m8O2Fw/HPz9WdTqd/MwEAAACChHz+C1F9qbEH/qNQ5oPNeU12VXRXz6qWvpKPjdTemnK5Zde2vd6RMf2iKjxvHxkS1imk3AsDO+J11897oR+3/lkdYxOy+Z9nqnadM5+64v4qrTHqyI52M4PuRScnUigDAEB7QaEMAAAAENAcDodaCHLjQzabrbKyMi8vb/v27UKI9PT06dOn6/X6ts0RAAAAAAAAAID2QePvBAAAAAB4zdatW5988snr16/7OxEAAAAAAOkQRNwAACAASURBVAAAAAIRK8oAAAAA7cYHH3yg1WrVQ1mW6+vrS0pKPv74448//lg5WVVVtWTJkldffdW1JQAAAAAAAAAAEBTKAAAAAO2IJEkNDkNDQxMTE+fMmZOWlvbLX/5SOV9UVLR///67777bHzm2Nb1er2w7BQAAAKAjsVy7ePKVp/o9+VKn3oP9nQsAAAA6FLZeAgAAADqCpKSkGTNmqIfvvPOOH5MBAAAAgNaSZdlhF7Ls7zwAAADQ0VAoAwAAAHQQ999/vxpfvnzZZrP5MRkAAAAAAAAAAAIQWy8BAAAAHYTRaJQkSf7XFy6vX7+ekJDQNkNfu3bt8OHD33333cWLF8vKyjQaTXx8fJ8+fQYPHpyamupJGq3voUmyLBcWFh49evTEiRPnzp2rqKjQ6XQ9evTo16/f8OHDhwwZEhoa2vpRAAAAAAAAAACBjEIZAAAAoIOQJKlTp04mk0k5tFqtN7bZt2/fn/70JyXetGmTwWBw0+GxY8eWLl2qxNnZ2fHx8Te2MZlMf/7znw8dOtTgfFFRUVFR0VdffSWESE5OfuKJJ/r169foKK3swWKxZGRkKHFWVlZaWtqNbWpraz/99NP33nuvurra9bzNZisoKCgoKPjoo48kSZo7d+748eMlSWo0TwAAAAAAAABAB8DWSwAAAEAHIctyTU2NehgWFtZoG8e/eNKn2lhdqMZVVVXVk08+eWONSwMnT55csGBBXV2dL3pwTdLpdDbaYNGiRRs2bGhQJdOALMurV69evnz5zToBAAAAAAAAAHQArCgDAAAAdBDV1dWu5SxGo9HXIy5fvtxsNivxqFGj0tPTu3fvbjAYJElyOp01NTXKkjC7d+/2XQ+e69Wr18MPP5ycnBwbGxseHi6EcDgclZWVubm5GzdutFgsQohvv/1206ZNM2bMaP1wAAAAAAAAAIAARKEMAAAA0EF8+umnapyUlNToijJedPny5bNnzyrx448/Pn36dNdHtVqt0Wg0Go2DBw/OzMzcvn27L3rw0PDhwxcvXtyjR48G53U6XXx8/MSJE++7776lS5eePHlSCJGTkzNp0qSYmJgWDwcAAAAAAAAACFgUygAAAAAdwfnz59966y31cNasWb4e8cyZM2o8ZcoUNy3Dw8OnTZvmix48lJmZ6b5BWFjYb37zm1mzZlmtViHErl27MjIyPOm5pKRk1apV7tso+2FZrVb3ez8FObvdLoSor6/nLgUP1w3gZFlm6oOHssMdkx5UGmzgWFtbK0mSv5KBX5jNZia94zE4nRovdSWLRrZ59fTaxraIDVhOzzbA/TcvPTuH3e6VfprL6UH+7WsG3XM6ncH28sbu8qPlcDiC7ekHM+UlfRD+zAezBjuVm0wmXt0FCfVf6kCYdHVh8gY/kC1DoQwAAADQjtnt9mvXru3atWvbtm3qyXvuuSclJcXXQ5eXlyuBXq8PCQnxSw9eZDAY0tPTN2/eLJpTKGM2m/fv3+++Td++fYUQDofDZrO1Ps+Ozel0cpeCkyzLTH0QYtKDVn19vb9TQFtj0jskvfcKZVqjfZVZNDdbbz07TwpW/CaAU2uuIH9NG+RPPzgx6cGMV3dBKBAm3bt/cyiUAQAAANqN9PR018p9R2PfR5w6deqMGTPaIJnIyEglsFgstbW1ERERbd+Dd6WmpiqFMpWVlRaLRa/X+zcfAAAAAAAAAIDXBULNNwAAAACPOJ1Oh4sGj44ZM2bDhg0zZ85sm2Uw+/Xrp8arVq1Sl75syx68y2g0qnFVVZUfMwEAAAAAAAAA+AgrygAAAAAdxNdff33PPffExcW1zXC9e/fu3r375cuXhRB5eXnTp08fM2bMhAkT+vbtazAY2qaHZpFluaioKD8///jx45cvXy4pKbFara4NXHe3ra6u7tKlS5N96vX64cOHu29TU1MjhNBoNH7fXiqQORwOp9Op0Wi0Wq2/c0EbUSZdiSVJ0un4gCJYKEWfQgj+KgYPWZbtdrt6qNPp/L63PdqMskI7k94hBcicBkgaHmputt56dppAvksBnFpzSZIUbC9veEkftJSX9Ex6UFHfxyl4dRc81HdzgTDp3v13lr9fAAAAQLvxwQcfuJYROByOioqK/fv3b9y4UXm/unLlytmzZ0+cOLENkpEkafny5VlZWXV1dcqZ/fv379+/XwgRGxs7cuTIESNGJCcnu9lQqfU9eO7gwYPr1q27du2ah+093PK2W7du69atc99m9uzZQgi9Xu+6Yg0aqKmpsVgsISEh6oZc6PBqa2vV331JkvgFCR42m626uppJDyr19fWuS7V16tSJ/1MJHmVlZUKIiIiIYPvP42Dg9F59syQkIeQWXuvv/7BpFk1zb5qXnp3WT391PSnQaV8z6J5Gowm2lzcmk0n9/olWqw22px/MLBZLTU1NEP7MBzOr1WoymdTDqKgojYaNa4KC0+msqKgQgTHp6htJr2TCm1IAAACg3WjwGaJWq42Pj3/kkUfGjBkzb948i8UihFi3bl1SUpLrrka+k5CQ8Oabb27YsOGTTz5xPV9eXr5z586dO3cKIe64446f/vSniYmJPurBE9nZ2Tt27Gjx5QAAAAAAAACADoNCGQAAAKDdi4+PX758+a9+9Svl8Le//e0bb7zRNlvYGAyGp59+OjMz87vvvjtw4EBubm6D/YwOHTp06NCh9PT0WbNmNfplwdb34N6ePXvUKhmNRjNp0qRRo0Z169YtIiJCWTJU7bO4uHjOnDnN7R8AAAAAAAAA0I5QKAMAAAB0BMnJyffdd99nn30mhCgvL//ggw+mTp3q/hJZbmJ5c9e9h90zGAyjR48ePXq0LMvXr18/f/78vn37vvrqK7WHrVu3JiYmpqWl+a6Hmz0FdWukqKio1157LSYmxk3jZnUOAAAAAAAAAGh32DwMAAAA6CB+9rOfqfFf//rXurq6G9u4LjPTZF1IWVlZc3OQJCkmJmb48OHPPvtsTk5OZmam+lB2drbT6WyDHlwVFxfX1tYq8TPPPOOmSkYIcfXq1WZ1DgAAAAAAAABodyiUAQAAADqIyMjI9PR0JXY6ndu3b7+xTVRUlBqbTCb3Hebn57cmH51ON3ny5PHjxyuHZrO5oqKijXu4dOmSGg8YMMB948OHDzercwAAAAAAAABAu0OhDAAAANBxTJkyRY03b95ssVgaNIiLi1Pj77//3k1XNpttz549rU9p9OjRatxkaY7Xe7BarWrsuppOoy13797d3NwAAAAAAAAAAO0LhTIAAABAxxEZGTlx4kQldjqdH330UYMGCQkJkiQpcaNLzqjefffd5u5z1CjXNWA6derUxj24FgYVFha6ablhwwa73d7c3AAAAAAAAAAA7QuFMgAAAECHMm3aNDX+61//6rqkihBCq9WOGTNGiU+dOvWPf/yj0U6++OKLnJwc9wNt2bLl2LFjDofDTZu6urq3335bifV6vWvZild6aFKvXr3U+PXXX2+0FEaW5XfffXfnzp3N6hkAAACAT+m79B626vNOt6b4OxEAAAB0NBTKAAAAAB1KdHT0fffdp8QOh2PXrl0NGsyYMUONX3jhhc2bN1+/fl2WZSGE1Wo9c+bMsmXLXn75Za1W++ijj7oZ6Ny5c0uWLJk2bVp2dnZeXl5FRUV9fb06bmVl5Z49e5566qnKykrl5Jw5c9TFbLzVQ5MiIyPvuusuJS4qKpo3b15eXp66I5XZbM7Ly1uwYMGmTZuEEFOnTm1W5wAAAAAAAACAdkfn7wQAAAAAeNnjjz/+2WefKfHbb789YcKE0NBQ9dGuXbtmZGRs3rxZOdy8ebMau1q1apXNZmtyXRmbzbZjx44dO3a4b/bAAw/cc889PurBvaysrLy8vJqaGiHElStXfv3rXzfabN68eUOHDn3vvfdaMAQAAAAAAAAAoL1gRRkAAACgo4mLixs3bpwS22y2Tz/9tEGD6dOnz5kzx83lq1ev7t+/v1eSiYyMXLhw4dy5c5u7GIy3ejAYDGvXrk1KSrpZA71ev2zZsgceeKBl6QEAAAAAAAAA2hFWlAEAAAA6oBkzZuzdu1eJN27cOH78+JCQEPVRSZIeeuihsWPH7t279+DBg6dPnzabzXFxcYMGDfrhD384dOhQrVbb5BCLFi0qLS0tLCy8cOHC999/f+XKldLS0rq6OqfTaTQaExMTBw4cmJqampSUpNE0XqDf+h48ZDQaX3zxxTNnzuzZsyc/P7+oqEgIkZCQMHDgwFGjRqWmprreHAAAAABNknqNEZaqxh74mxB2JeybFDvxkUFNdlWeGFXf0qr6sBAR383YsmvbXmSIrquhq+ftQySpU0jP1o8bKmlFVFzr+3HPZrM5HA6dTqe+vYpM6xWeanZ/lazRpQys9XVubUMfH+PvFAAAgKcolAEAAAAC2pYtW1pwVZcuXbZv3+6+TWRk5MSJEydOnHizBikpKW460Wq1Xbt27dq168iRI1uQoVd6EELo9fomn6kQQpKkpKQkN+vKCCG6du3qSVcAAAAApNvGN3peln6qxslDujw2a1gbJQQ3QoQI9/kg1upqm80WHh4eGhGhnImd5tGFzSgdAgAA8BK2XgIAAAAAAAAAAAAAAEBQYEUZAAAAAP9kNptPnDiRn59/+vTpq1evXr9+PSQkJDY2tl+/fn369Bk8ePCtt97qfhekq1evzpkzR4lXrFiRkpLSmnwsFktGRoYSZ2VlpaWltawNAAAA0JE4ZassbP7OomnmWlvZtRp/ZxEoHFqNQ9eMry7rtE6tTnbfRt/Y//CE2et1TnsTyVhlp/XfnTtlUW91ep5bo8w1NfX19c6wMNlgaGVX8IQmRGfo7vMdtQAA6KgolAEAAAAgioqKNm7cmJub2+C83W6/dOnSpUuXvvzySyFEWFjYtGnTJk2apNfrG+1HlmWHw+HFxNTenM6bfm7rSRsAAACgw6ixH6mtz/N3Fjch/fvtwBc7z5ad/8CPuQSULuN6fV7fRP2Kqwk/CCnVFrlpIAlxX/dGKmmG1dl7F3zlvvM6S5/CvxxSD3WxnQ9su+h5bggE0YN6P3Lsf/2dBQAA7RVbLwEAAABBrb6+/tVXX503b96NVTI3slqtb731VkZGxkcffSTLTXy7EQAAAAAAAACAQMOKMgAAAEDwMplMCxcuLC4uVs907dp1+vTpSUlJcXFxYWFhQgi73V5VVXX27NlPPvnk0KFDQgiHw7Fu3brevXsPGjTIb6kDAAAAAAAAANB8FMoAAAAAQaquru6ZZ54pLy9XDg0Gw3PPPTdo0CBJklybhYSExMXFxcXF3XnnnZWVlW+88ca+ffv8kS8AAAAAAAAAAK1FoQwAAAAQjGRZfv7559UqmT59+vz2t781GAzur4qJiVm4cOF99933wgsv+D5Hodfrt2/f3gYDAQAAAAgoVabLH+55bvzoxQmxSf7OBQAAAB2Nxt8JAAAAAPCDvXv3Hjt2TImjoqJWrVrVZJWMKjU1df369RERET7LDgAAAEBQk4VwOh1CyP5OBAAAAB0QK8oAAAAAQcdut69evVo9XLRokV6vb1YPMTExMTEx3s4LAAAAAAAAAADfolAGAAAACDr/+Mc/LBaLEvfu3TslJcWnw8mynJ+fv3fv3qNHj5aXl4eHh/fv33/EiBFjx471fBkbb3E4HMePHz9y5MiJEycKCwvtdntsbGxKSsrtt98+YsSI0NDQNs4HAAAAAAAAANCWKJQBAAAAgs7f//53NZ4+fbokSb4bq6SkZOnSpSUlJeoZm82Wm5ubm5u7Zs2aBQsWjBs37mbXWiyWjIwMJc7KykpLS2tNJrIs79q1a8OGDVar1fV8cXFxcXHx7t27tVrtU0899eCDD/r0hgAAAAAAAAAA/IhCGQAAACC42Gy2U6dOqYc+XU7m7NmzCxYskGW50UdlWf7jH/9YW1s7YcKEm/XgcDiUwOl0tiYTs9m8dOnSgoICN20cDsfatWsPHjy4ZMkSrVbbmuEAAAAAAAAAAIGJQhkAAAAguBQXF6txTExMZGSkjwbKz8/PycmRZXnAgAEzZ87s06dPeHi4LMtlZWU5OTm7d+9Wmq1du3bUqFHR0dE+SkMIYbVa58+ff/XqVeUwPj5+1qxZQ4YMiYqKkiTJarUWFBSsX7/+4sWLQohDhw699NJLixYt8l0+AAAAAAAAAAB/0fg7AQAAAABt6tKlS2rct29f3w20efNmu90+c+bM3//+94MHDzYYDJIkaTSahISEefPmPfnkk2rL999/33dpCCFeffVVtUrmoYceys7OHjduXHR0tEajkSRJr9cPGTLklVdeGT9+vNJm//79x44d82lKAAAAAAAAAAC/YEUZAAAAILiUlpaqcWJiok/HSktLmzp1aqMPTZo0adu2bUoyu3fvzszMlCTJFzmcPXt23759Sjxy5MjZs2c3OpBGo5k3b15BQcGFCxeEEC+//PIbb7zRZEo1NTVff/21+zY2m00IYbfbrVZrC/IPEsoeWw6Hg7sUPNSN1YQQsiwz9cHDbrcLJj3IuP6+CyFsNluDM+jw6uvrW7mNJhpwyPwStT9yM38LnE5ZtGg/WE8Gkp3/sT3uzXbLRSALhFdTrn/bAyEftBle0gchZdJVNpvNR5/jIdCoLxICYdLVvzleeelCoQwAAAAQXKqqqtQ4NjbWp2P9/Oc/v9lDkiSlp6evW7dOCGGxWCoqKnyUzN/+9jc1nj9/vpt3dJIkZWVlLViwQAhRWlp66dKlnj17uu/82rVrixcvdt9GWbbHZrOZTKZm5B2U7HY7dyk4ybLM1AchJj1omc1mf6eAtsake50j1MZH++2Ow9G8QhmHwy5CWjZQ03VUdsd//H+nk0KZdsjpdAbUqymHwxFQ+aANBNoPIdpSTU2Nv1NAWwuESVffVnilUIatlwAAAIDgUl9fr8Y6nQ8/X09NTY2MjHTTIDk5WY0rKip8kUNdXd2hQ4eU+O6773afjxDitttuCw8PV+Iml4oBAAAAAAAAALQ7FMoAAAAAwSUk5N9fS2ywbqp3jRgxwn0Do9GoxtevX/dFDso+SoqxY8c22V6SpJSUFCU+deqUL1ICAAAAAAAAAPgRhTIAAABAcImKilLjyspK3w3UtWtX9w1CQ0PV2Gaz+SKHS5cuqXFiYqInl6jbLZ0+fdoXKQEAAAAAAAAA/IiNTAEAAIDgEh8fr8aFhYW+GygsLMx3nXuoqKhIjZ955hmNRiP+tYutLMtqIIRwOp1K4HA4lPYmk0mWZUmS3PSfmJj48ccfu89hyZIlQojw8PDOnTu35rl0bLW1tVarNTQ0tFOnTv7OBW3EbDZbLBYl1mg00dHR/s0Hbaa+vt5kMkmSFBMT4+9c0Ebsdnt1dbV6GBUV5dPNHxFQlO01mXSvM9n1Zh8uDQmf0IXoRH0zpk2nC2m6UeMXNv3rFvKfnStvlNC+aLVav7/HrKmpUb/0otPpXL+Wg47NarXW1tZqtVrXpYLRsdlstpqaGvUwOjqafzuChNPpVBYCD4RJVz9t9komvD8BAAAAgkv37t3V+Ny5c37MpA3U1dWpsfpf8l6k0+kSEhLct1HeuUmS5Pc3k4FMKUjiLgWVBlVoTH3wUKeeSQ8eN/6+M/vBhn/ivc59MTc6hpZPsidXSm6O0G74/U8rL+mDFi/pgxAv6REIk+7dBPgJBgAAAIJLt27d1Li8vNxkMvkxGV/ju8sAAAAAAAAAAFd8agwAAAAEF71ef9ttt509e1Y5PH78+J133unflHynS5cuarx58+aIiAg/JgMAAAAAAAAA8DtWlAEAAACCziOPPKLG77zzjizLfkzGp2699VY1Li0t9WMmAAAAAAAAAIBAQKEMAAAAEHTuvPPOsLAwJT5//vyJEyf8m4/v9O7dW40PHz7sv0QAAAAAAAAAAAGBQhkAAAAg6ISEhMyePVs9/MMf/mC1WpvVQ1VVVWFhobfz8j6j0ZicnKzEW7Zssdvt/s0HAAAAAAAAAOBfFMoAAAAAwejee+8dMGCAEldWVi5ZssRisXh47bFjx5588kmTyeSz7Lxp5syZSlBXV7d+/Xr/JgMAAAAAAAAA8C8KZQAAAIBgJEnSsmXLjEajclhQUPDzn/+8oKDA/VUmk+nVV19tVlWN3w0aNGjMmDFKvHPnzg0bNjgcDveXlJWVvf3227W1tb7PDgAAAEAjoiO7z/zxWwmx/f2dCAAAADognb8TAAAAAOAfBoPh9ddf/+Uvf3n16lUhhMlk+uUvf9mzZ8/p06f369cvNjY2JCRECOFwOGpqas6fP//ZZ5/t27fP31m3xPz588+dO3flyhUhxLZt2z777LOf/OQnw4cP79y5c2hoqBDC6XTW1dWVlZWdPHly165d58+fF0JMnjzZz3kDAAAAAAAAALyNQhkAAAAgeBmNxtWrV69evfrLL79UzhQVFb344ovur9JoND/72c+Sk5N9n6B3hIWFvfLKKytXrjx27JgQoqamZt26df5OCgAAAAAAAADgBxTKAAAAAEEtNDT0v//7vx955JE333zzyJEj7hvrdLrp06f/6Ec/0uv1bZOet+j1+ueff/7gwYOvvfZaVVWVm5aSJN1///0PP/xwZGRkm6UHAAAAAAAAAGgbFMoAAAAAEL17916+fLnJZDp58uSxY8dOnz599erV69evh4SExMbG9uvXr0+fPikpKX369NFqtf5OtoUkSRo5cuRbb71VWFh48ODBM2fOFBQUXL9+XQiRkJDQs2fPvn37DhkyJCkpSdlzCgAAAAhMGhGqkQz+zqJpYXqdMSbc31kEivDwkNhQjeft9VpdVKi77ydIQtJr5RvPazU2oTe671yqD9d1jvn3JVFR4V07e55bo2RZlmVZkiRJklrZFTyhj2tilgEAgBsUygAAAAD4p8jIyJEjR44cObLFPXTt2nX79u2eD+e+sV6vb7I3T9q4kiSpV69evXr18vwSAAAAIKB0ChnWKWSYv7O4CXmOGt4/KWnlyql+zCV4JU93/3iEEEmP/ceZvq0es7q62mazhYeHR0REtLozAAAA32pG/TIAAAAAAAAAAAAAAADQfrGiDAAAANDWzpw5s2jRIiVes2bNLbfc4t982jWLxZKRkaHEWVlZaWlp/s0HAAAAAAAAABDIKJQBAABAB5SRkWGxWJT4/fff12gCbiVFh8OhBLLcyKbyaBb1ZjqdTv9mAgAAAAQaZ6258Fcr22w42Vavxv/fngsvLN7dyg6rhySUOT190zToVskRUdbKEdEyDofD6XRqNBqtVuvvXJqg1+pSOtc33e7m+kXr9ZpKg72T/vgJ2VrT3MsdFfpP/3RBiYetyOz6w6GtSQYAALQAhTIAAADogBwOh1o8AQAAAABBS3Y4zcdOtuF4/y5erygzF5y81sr+ahPCv7fZPWwcGx9a5Sht5Yjo8DqFhN5isLamhz6OaJsoCXMmyJUXRV1Fcy93VsVd3Z+vxJbyqtZkAgAAWibgvlkLAAAAAAAAAAAAAAAA+AKFMgAAAAAAAAAAAAAAAAgKbL0EAAAAoB3T6/Xbt2/3dxYAAAAAAAAAgPaBFWUAAAAAAAAAAEAAqTJd/uuHP7tWXuDvRAAAANABUSgDAAAAAAAAAAACiCyE0+kQQvZ3IgAAAOiA2HoJAAAA+DdZlvPz8/fu3Xv06NHy8vLw8PD+/fuPGDFi7NixBoPBw04cDsfhw4e/+eabvLy8ysrK6Ojo/v37jx49+gc/+EFoaGgLsiotLT1w4MDJkydPnTpVW1ur1+uTkpIGDhw4evTobt26taBD4aVnKoRwOBzHjx8/cuTIiRMnCgsL7XZ7bGxsSkrK7bffPmLECM+f77Vr1w4fPvzdd99dvHixrKxMo9HEx8f36dNn8ODBqampCQkJLXqW/0GW5cLCwqNHj544ceLcuXMVFRU6na5Hjx79+vUbPnz4kCFDWjY7AAAAAAAAAIB2hEIZAAAABKmrV6/OmTNHiVesWJGSklJSUrJ06dKSkhK1jc1my83Nzc3NXbNmzYIFC8aNG9dkt6dPn16xYoXJZFLPlJWVlZWVHThwICwsbPHixcOGDfM8yaqqqj/84Q/Hjh1zPfn/s3fn4VGVZ+PHnzMzSSYTsxEIyBrDjgRMERTELbVBLRZFLGIVIaIgMeIrhcsWtSLyvm78WkXIFWixIogStvqiEKQVWV5LCCImLIaIkISwJBCSySSzn98fp55Os5zJPsnM93Pxx31m7nnOfc4JySz3PI/dbs/JycnJyVm7dm18fPzvf/977T6SNjpSWZZ37ty5Zs0am83meXtJSUlJSUlWVpZer3/qqafuvvtuSZI0xjGbzX/84x9zcnJq3V5UVFRUVPTVV18JIYYOHTpr1qyBAwfWfbjVap02bZoSp6WlJSUl1c2xWCxffPHFpk2bKisrPW+32+35+fn5+fmfffaZJElz585NTk7WrhYAAAAAAAAA0Kmx9BIAAAAClCzLrp8IIQoKCmbPnu3ZO1Ir+e23396xY4f2mLt3716wYIFnl4wnm832yiuvKJ0fjZGbmztjxoxaXTK1nD59etasWQcOHNDIaYsjra6uXrBgQXp6eq0uGU8ulys9PX3JkiXKfutVUVHx5JNP1u2SqeXEiRPz58+vqalpaEcKt9tdb8LChQvXrFlTq0umFlmWV6xYsXjx4oYGAQAAAAAAAAD4AWaUAQAAAEReXl5mZqYsy0OGDJk+fXp8fHxoaKgsy2VlZZmZmVlZWUpaenr62LFjo6KiGhrk3XffVTd//vOfT5kypUePHjqdzmq1FhQUrFq16uzZs8uWLXvwwQe9lnTmzJlFixapmyNHjpw+fXq/fv2CgoKcTue5c+fWr19/8OBB5d433nhjyZIlI0eObJ8jtdls8+bNu3jxorLZrVu3xx9/fMSIEREREZIk2Wy2/Pz81atXnz17VgiRk5OzbNmyhQsX1jvU4sWLq6urlXjsveXoXAAAIABJREFU2LGTJ0/u1auXyWSSJMntdldVVSmTyqiFtUS/fv3uu+++oUOHxsTEhIaGCiFcLld5eXl2dvYHH3xgtVqFEN9888369esfe+yxlu8OAAAAAAAAANABMaMMAAAAIDZs2OB0OqdPn/7GG28MHz5cadTQ6XSxsbGpqalPPvmkmrl58+Z6R3C5XEuXLlU3X3zxxXnz5vXq1Uuv10uSFBoampCQ8M477ygLAzU0iOdoixcvVjdnzpy5ZMmSgQMHBgcHS5IUFBQUFxe3aNGiZ555Rs1ZunSp3W5vhyMVQrz77rtql8y99967atWq2267LSoqSqfTSZJkNBpHjBjxzjvvJCcnKzn79++vd16cc+fOFRQUKPEjjzzyu9/9bvDgwddcc40yjl6vj4yMHD58eGpq6ieffPKb3/zG69E1ZNSoUStXrly+fHlycnKfPn2Uo5YkyWAwdOvW7Ze//OWHH344dOhQJTkzM7O8vLzZ+wIAAAAAAAAAdGQ0ygAAAABCCJGUlDRlyhRJkureNXHixG7duilxVlaWLMt1c3bv3m2xWJQ4JSVlzJgxdXN0Ot28efPi4+O9FvOPf/zj8uXLSjxhwoQHHnig3rTk5OSHHnpIia1Wq9f+G0ULj7SgoGDfvn1KPGbMmNmzZ+v1+rppOp0uNTU1Li5O2fzTn/5Ud7RTp06psfYsO6GhoVOnTlWmgWmGlJSU3r17aySEhIT84Q9/CAkJUTZ37tzZvB0BAAAAAAAAADo4ll4CAAAAhBDiiSeeaOguSZImT56ckZEhhLBarVeuXImJiamV8/HHHytBaGjofffdpzFUamrq/PnztYtRRxNCzJw5UyNz6tSpW7dudTqdQojNmzdPnTpVp/PSDd/CI/3oo4/UeN68efU23KijpaWlKQdbWlpaXFzcp08fzwS1GchoNAYFBWmX3dZMJtPkyZM3bNgghNi5c+e0adMa86gff/zR61Q3ffv2FUJUV1erx4uG2O12zlLg8Gyec7vdXPpAI8syFz1gVVRU+LoEtLfKykpflxDQ3GaLr0toEbfL1fhkh9PZdpXAb8juer4T0iQOpyNIL5wOh9vtbsb30Z0eP6hms9k/nhQ5nU7/OBA0Hq/jAhmTMQegjnDRq6urlcDtdrd8NBplAAAAAJGYmBgeHq6RoK7LI4So2z5y+fJl9a2B+++/v94ZVlQDBgyIiIjQ+LSgrKystLRUiZOSkkwmk8ZowcHBv/rVr7Zs2SKEsNvtZ86c0Z6xpoVHWlNTk5OTo8S333679lBCiAEDBoSGhtbU1Aghvv7661qNMurDrVarxWIJCwvTHq2tJSYmKo0y5eXlVqvVaDR6fYgsy15XvFK7AeqdoQeeOEWBjKsfgLjoAYtLH4C46L7F+Qc6OL/5T+o3B4JG4ooHMq5+AOoIF711a2DpJQAAAECMHj1aOyEyMlKNr169WuveM2fOqPGNN96oPZQkSXfccYdGQmFhoRqPHz9eezQhxM0336zGBQUF2smteKS33nqr19okSUpISFDikydP1rp34MCBavz666+r3wnwFc9j58vuAAAAAAAAAOCXmFEGAAAAED169NBOCA4OVuO6M4iUlJSocWxsrNfd9e/fX+Pec+fOqXHPnj29juZZ/NmzZxufXC/tIy0uLlZjZUUhr/r06ZOdnS2E+P7772vdFRcX16tXL+V4jx49+vDDD48fP/6ee+7p37+/9jw6zSPLclFRUV5e3rFjx86dO3fhwgWbzeaZ4DlpZ2VlZffu3Vu9BgAAAAAAAACAb9EoAwAAAIiQkJCWPPz8+fNq3JgOj65duzZytIiICK+jea5Y5NlkU68WHmlRUZEaP/vsszqdTvw06aUsy2oghHC73UrgcrmUfLPZLMuyJEnqCJIkLV68OC0tTVmbSQixf//+/fv3CyFiYmLGjBkzevTooUOHtsqSTIcOHcrIyLh06VIj870uqKSIjo6eO3euds5XX30lhAgKCmqL7h+/YbfbnU6nXq9v4Y8oOhHloiuxJEmhoaG+rQftxuVyKX2K/FYMHG6322q1qptGo1F5CoFAoEwZGBISor04KdqU2+X7efJbQpIkIRp7CPx6QWN4vixtHuUnTafTNW8oSfr3D2pwcHDnfVLk+ZRep9M1Zv1i+Aen02m323kdF1DU13GK0NDQlv8uRacgy7Lyzq3/XXQaZQAAAICW8myqaMw7s9qtAA6HQ40NBu/P2D33WGuKlFandrQIITw/8Wq22NjY999/f82aNbt27fK8/fLlyzt27NixY4cQ4sYbb5wxY0YjJ7Cp16pVq7Zv397SWusTHR2dkpKinXPw4EFBo4w3brfb6XQaDAbOUuCQZdmzUYZLHzjsdrvNZuOiBxSHw1GrUaYxz3DgH5RGGaPRGBQU5OtaApfL6fae1IFJOp0QjT0EPY0yaIwWf8yn1+mFEDq9vnkfGer1//5BDQkJ6bxPilwul2ejTOc9EDSV1Wq12+1c9IBis9lqNcrQnBog3G632ijj84uufC1TtFJvNC9KAQAAgJbyXK7I7XZ7/b6sdjuL56cI6nQsGjwXDGrr2Tja4mMtk8n0zDPPpKSkfPvttwcOHMjOzq51fnJycnJyciZPnvz44483413IPXv2qF0yOp1u4sSJY8eO7dmzZ1hYmMFgkCRJHbOkpGTOnDktPyIAAAAAAAAAQIdFowwAAADQUt27d1fj6urqyMhI7fzLly83cjSz2ex14SGLxaLGPXv21E5uIc/aNmzY0CqLIilMJtO4cePGjRsny/LVq1dPnz69b9++r776Sm0V2rJlS9++fZOSkpo0rMvlysjIUOKIiIjly5dHR0drJDe7fgAAAAAAAABAp8CcSAAAAEBL9erVS40vXbrkNf/06dMa9/bu3VuNS0pKvI528eJFNe7Xr5/X/Ja47rrr1Li0tLQtdiFJUnR09KhRo5577rnMzEzPhY1WrVrlOX1OY5SUlKiNRM8++6xGl4z4zzMJAAAAAAAAAPBLNMoAAAAALRUXF6fG33zzjdf8L7/8UuPevn37qvHXX3/tdbTs7Gw17t+/v9f8lvA80sOHD7fpvoQQBoPh/vvvT05OVjarq6uvXLnSpBGKi4vVeMiQIdrJ7XBEAAAAAAAAAADfolEGAAAAaKmuXbuqU5Vs3bpVewWfgoKCiooKjYRu3bp17dpViXft2mW1WjWSHQ7Hp59+qsTBwcHx8fFNqLvpIiMjhw4dqsQbN250Op1tujvFuHHj1NhsNjfpsTabTY31er12ZlZWVlNrAwAAAAAAAAB0LjTKAAAAAK1g6tSpSlBdXb1z586G0mRZXrlyZeNHk2X5o48+0sjcunWr2gsyadIkna7Nn+FPnz5dCWpqalavXt3WuxNCeM4ic8011zTpsWrLkRCisLBQI3PNmjXt0/cDAAAAAAAAAPAhGmUAAACAVpCcnGwymZQ4IyPjyJEjdXOULpmCggKvo911113qFDXbtm1raKaTvXv3rlu3TolDQkIeeuih5pTeRNdff/348eOVeMeOHWvWrNGeQUcIUVZW9uGHH1osllq3b9y4MTc3V/vhNTU1H374oRIbjUbPxpfG6Nevnxq/99579bbCyLL8ySef7Nixo0kjAwAAAAAAAAA6IxplAAAAgFZgMBh+97vfqZt/+MMf0tPTL1y44Ha7hRB2u/3EiRPz589XWl4mTZqkPZper3/ppZfUzRUrVixduvTs2bNKn4fL5SouLl62bNnbb7+t5rzwwgtGo7F1D6oh8+bNu/baa5V427Ztjz322GeffXbhwgW73a7c6Ha7LRbL2bNnd+7c+dxzz6WkpGRmZiqnwtMPP/ywaNGiqVOnrlq16ujRo1euXHE4HMpdLpervLx8z549Tz31VHl5uXLjnDlzJElqUqnh4eG33HKLEhcVFaWmph49elRdzaq6uvro0aPz589fv369EGLKlClNPhcAAAAA2kBUeK/pk9bGxgz2dSEAAADwQwZfFwAAAAD4iZEjRz799NPp6enK5o4dO+qdpCQtLS0uLu5vf/ub9mgDBgxYvHjx4sWLlf6SgwcPHjx4sKHk559/ftSoUS2ovWlCQkLeeeedJUuW5ObmCiGqqqoyMjKaPZrdbt++ffv27du10yZMmHDnnXc2Y/y0tLSjR49WVVUJIc6fP+/ZgeQpNTV15MiRmzZtasYuAAAAAAAAAACdBTPKAAAAAK3mnnvu+Z//+Z+wsLB67zUYDIsWLfrFL37RyNESExPff//9IUOGaOT07dt31apVd9xxR1NLbSGj0fjaa6+9+OKLkZGR2pmSJCUnJy9fvjw8PLx5+woPD1+wYMHcuXObOp2MwmQypaenDxo0qKEEo9H4yiuvTJgwoXnlAQAAAAAAAAA6EWaUAQAAAFrT9ddfv27dukOHDv3zn/88cuTI1atXo6KiBg4cOH78+JtvvrmpqyNFR0e/+eably5d2r9///Hjx0+cOFFVVWUymQYPHjxs2LBx48b17t27jQ7EK0mSxowZs3bt2sLCwkOHDp06dSo/P//q1atCiNjY2D59+vTv33/EiBGDBg0KCgqqd4SFCxeWlpYWFhaeOXPmxx9/PH/+fGlpaU1NjdvtjoyM7Nu377BhwxITEwcNGqTTtajFPzIy8q233jp16tSePXvy8vKKioqUIocNGzZ27NjExMSGKgQAAAAAAAAA+BlJlmVf1wAAAAAAfmv27NmHDx+eO3duSkqKr2vpuKqqqqxWa0hISLNnHkKnY7FYampqlFin03Xp0sW39aDd2O32yspKSZJiYmJ8XQvaicPhqKioUDejoqIMBr68FyjKysqEEJGRkfQl+5DsdFV/m9tuu4u9dWy11arEs5/8r2fmLmjhgNbwEJe+scnGEDnY6GjhHtE81dXVDocjJCSkqd8PaX86SUSFtOijsTCDCNK5DG6hrzDLbndTH+62uC4W/OsHNXpEfGj36JYU40Nms9lmsymxwWCIiorybT1oN1artaqqSq/XR0d31p9eNJXNZjObzepmly5dWvitNnQWbrf7ypUromNcdIvFcvvttwshNm7cGB8f38LReFEKAAAAAAAAAIB/kgz6sBtvaL/9eXyC0q172PAbrm2/XcOnKvWVdrs9NDS0ocWI/ZBeiK6iGSsE64XoeV3rlwMAABqPVi8AAAAAAAAAAAAAAAAEBGaUAQAAAPxcdXX18ePH8/Lyvv/++4sXL169ejUoKCgmJmbgwIHx8fHDhw+/7rrrNGbOvHjx4pw5c5T41VdfTUhIaEkxVqt12rRpSpyWlpaUlNSS0QAAAABVzbHvrT+eVTezew+plry8Aa5zi8hSSxvXFVjc7n+vaFNUfXXfhQIfFoP2ZLVanU5nkCUoxBzSisP2DhPRwSJY3woragW5dEEOW8vHEUKIaodcXdU6Q3VU5UWi7KSXY1QuuhLrdDqTydS6NQRHXRP30O2tOyYAAAoaZQAAAAC/VVRU9MEHH2RnZ9e63el0FhcXFxcXf/nll0KIkJCQqVOnTpw4sd615GVZdrlcrViVOpq76Uu5AwAAAA2p+HL/lcz/VTfTp/62yGzXfkiUQeq9r7iN6wosTse/n+Qfu3p+3anaL0aAxpOEuKuXPLZ7eI3rfMtHC3N3N1xupc6t0iC56GjrDNVRmU/3ObBgv29riBrWj0YZAEAbYeklAAAAwA85HI533303NTW1bpdMXTabbe3atdOmTfvss89kWfaaDwAAAAAAAABAJ8WMMgAAAIC/MZvNCxYsKCkpUW/p0aPHww8/PGjQoK5du4aEhAghnE5nRUVFQUHBrl27cnJyhBAulysjIyMuLu7666/3WekAAAAAAAAAALQlGmUAAAAAv1JTU/Pss89evnxZ2TSZTC+++OL1118vSZJnWlBQUNeuXbt27XrzzTeXl5f/+c9/3rdvny/qBQAAAAAAAACg/dAoAwAAAPgPWZZfe+01tUsmPj7+v//7v00mk/ajoqOjFyxYcNdddy1durStKzQajZ9++mlb7wUAAABAp1Z+5tzmlN9N/NOiHiMG+7oWAAAA+BudrwsAAAAA0Gr27t2bm5urxBEREa+//rrXLhlVYmLi6tWrw8LC2qw6AAAAAGgcWXY7Xb4uAgAAAP6JGWUAAAAAP+F0OlesWKFuLly40Gg0NmmE6Ojo6Ojo1q4LAAAAAAAAAICOgkYZAAAAwE8cPHjQarUqcVxcXEJCQtvtS5blvLy8vXv3fvfdd5cvXw4NDR08ePDo0aNvvfXWxs9h0857lGW5sLDwu+++O378+A8//HDlyhWDwdC7d++BAweOGjVqxIgRwcHBbVE5AAAAAAAAAKDjoFEGAAAA8BN/+9vf1Pjhhx+WJKmNdnThwoWXX375woUL6i12uz07Ozs7O3vlypXz58+/7bbbGnqs1WqdNm2aEqelpSUlJdXNuXjx4pw5c5T41VdfTUhIaMkehRAWi+WLL77YtGlTZWWl5+12uz0/Pz8/P/+zzz6TJGnu3LnJycltd94AAAAAAAAAAD5HowwAAADgD+x2+8mTJ9XNtptOpqCgYP78+bIs13uvLMtvv/22xWK55557GhrB5XIpgdvtbmgQNadV9rhw4cKioqKG7lXHWbFixddff/3yyy/rdDrtZAAAAAAAAABAJ0WjDAAAAOAPSkpK1Dg6Ojo8PLwt9pKXl5eZmSnL8pAhQ6ZPnx4fHx8aGirLcllZWWZmZlZWlpKWnp4+duzYqKioDrXHfv363XfffUOHDo2JiQkNDRVCuFyu8vLy7OzsDz74QFm16ptvvlm/fv1jjz3W8soBAAAAAAAAAB0QX5QEAAAA/EFxcbEa9+/fv432smHDBqfTOX369DfeeGP48OEmk0mSJJ1OFxsbm5qa+uSTT6qZmzdv7jh7HDVq1MqVK5cvX56cnNynTx9lEEmSDAZDt27dfvnLX3744YdDhw5VkjMzM8vLy1uleAAAAAAAAABAR8OMMgAAAIA/KC0tVeO+ffu23Y6SkpKmTJlS710TJ07ctm2bUklWVlZKSookSR1hjykpKdq7CAkJ+cMf/vD444/bbDYhxM6dO6dNm9aY2kpLS1etWqWdU11dLYSw2+1VVVWNGTMwORwOIYTT6eQsBQ6n06nGsixz6QOHsu4eFz2g1Fpssbq6mlUOA01NTY3yLKutKc8oVLK7/rU7/0MD63sC6DjcLpeuNT7L8lzht+VD+f1fslY8Xc3mdrt5xtgxKT8eXKCAUut3gsViaZU3/dDxyT89W+4IF115l1XUeY3ZPDTKAAAAAP6goqJCjWNiYtpuR0888URDd0mSNHny5IyMDCGE1Wq9cuVKq1TSPns0mUyTJ0/esGGDaEqjjNls3rp1q3aOMsGP0+lUVneCBpfL1RHejUX7k2WZ/yABiIsesOx2u69LQHtrt4vu2YUpPN7WB9CpueVW+DBMtNKHaupQft8o04qnq9l4mdDBcYECWfv0QKND6QgXvXV/5/j9n3IAAAAgIHh+fdZgaKuG+MTExPDwcI0EdQEjIcSVK1c61x4TExOVoLy8nPd6AAAAAAAAAMAv0SgDAAAA+IOgoCA1rvVV2lY0evRo7YTIyEg1vnr1aufao+dQnjP0AAAAAAAAAAD8BksvAQAAAP4gIiJCjcvLy9toLz169NBOCA4OVuNWmWO/Ffcoy3JRUVFeXt6xY8fOnTt34cKFWlOGes4sXVlZ2b17d6/lBQUF9evXTztHr9cLISRJUgLUy+12y7IsSZJOx9c5AoVy0dVN/oMEDlmWld+3XPTAoV50hU6n8/na9mg3yqKK7XbRaz+R4AcN8AtSK/1nbsVfRIHwd6yD/LHmGWPHxFP6AMRT+kCmPKXvCP/fW7cGGmUAAAAAf9CtWzc1LiwsbKO9hISEtNHIbb3HQ4cOZWRkXLp0qZH5jezy6dOnz+bNm7VzZs+eLYQIDQ2Njo5u5N4DUFVVldVqDQ4O1l5pC/7EYrHU1NQosU6n4z9I4LDb7ZWVlZIkcdEDh8Ph8JyqLSIiou2WiURHU1ZWJoQIDw/3nP6w7dhCQiwem41qwOUzHqDD07fSX41W/OtjMATJ3rM6t47wx1qv1/OMsWOyWq1VVVVcoIBis9nMZrO6GRUVxTedAoTb7VYWu4+MjPT5RVe/MNkqlfj+7xwAAACAluvVq5ca//DDDz6spANatWrV9u3bfV0FAAAAAAAAAMD3aJQBAAAA/EHPnj3V+PLly2azmZk5FHv27FG7ZHQ63cSJE8eOHduzZ8+wsDCDwSBJkjpVbElJyZw5c3xXKQAAAAAAAACgzdEoAwAAAPgDo9E4YMCAgoICZfPYsWM333yzb0vqCFwuV0ZGhhJHREQsX75cY1pgZcFdAAAAAAAAAIAfY/EwAAAAwE888MADavzxxx/Lst+vme5dSUmJxWJR4meffVZ78eyLFy+2S1EAAAAAAAAAAJ+hUQYAAADwEzfffHNISIgSnz59+vjx476tpyMoLi5W4yFDhmgnHz58uI3LAQAAAAAAAAD4GI0yAAAAgJ8ICgqaPXu2uvnmm2/abLYmjVBRUVFYWNjadfmS5xnQ6/XamVlZWW1fEQAAAAAAAADAl2iUAQAAAPzHz3/+c3XelPLy8kWLFlmt1kY+Njc398knnzSbzW1WnQ907dpVjbV7gNasWeN0Otu+IgAAAAAAAACAL9EoAwAAAPgPSZJeeeWVyMhIZTM/P/+JJ57Iz8/XfpTZbH733Xeb1FXTWfTr10+N33vvvXpbYWRZ/uSTT3bs2NGOdQEAAADQEn1d76f2ru8xYrCvCwEAAIAfolEGAAAA8Csmk+m9997r3r27smk2m3/729+mpqbu27fvwoULDodDud3lclVUVBw5cuStt976zW9+s3v3bt+V3IbCw8NvueUWJS4qKkpNTT169KjaD1RdXX306NH58+evX79eCDFlyhSfFQoAAAAAAAAAaBcGXxcAAAAAoJVFRkauWLFixYoVX375pXJLUVHRW2+9pf0onU43c+bMoUOHtn2B7SotLe3o0aNVVVVCiPPnz7/00kv1pqWmpo4cOXLTpk3tWx0AAAAAAAAAoF0xowwAAADgh4KDg//rv/7r3XffTUxM9JpsMBgeffTRjz/+eNKkSTqdv71GMJlM6enpgwYNaijBaDS+8sorEyZMaM+qAAAAAAAAAAA+wYwyAAAAgN+Ki4tbvHix2Ww+ceJEbm7u999/f/HixatXrwYFBcXExAwcODA+Pj4hISE+Pl6v1/u62DYUGRn51ltvnTp1as+ePXl5eUVFRUKI2NjYYcOGjR07NjExMSgoyNc1AgAAoKVCBw2ITL5d3bwtLqrc7aULPERI3XTBbVxXYPl4hyRc/4qvDY28KTbOl9WgHTkcDrfbrdfrDYZW++BJElLfa+RgvS5Id03LRwtyGkVYK/1/dzolYWqdoTqqIGtI/0eN2jnKRVdiSZKCg1v516mpV9fWHRAAAJUky7KvawAAAAAAvzV79uzDhw/PnTs3JSXF17V0XFVVVVarNSQkJDw83Ne1oJ1YLJaamhol1ul0Xbp08W09aDd2u72yslKSpJiYGF/XgnbicDgqKirUzaioqFb8DBUdXFlZmRAiMjKSvuTAERYWVl1drcQvvvjikiVLfFsP2k1lZaXdbg8NDQ0LC/N1LWgnZrPZZrMpscFgiIqK8m09aDdWq7Wqqkqv10dHR/u6FrQTm81mNpvVzS5duvjfpNSol9vtvnLliugYF91isdx+++1CiI0bN8bHx7dwNH6CAQAAAAAAAAAAAAAAEBD49gYAAACAjsJqtU6bNk2J09LSkpKSfFsPAAAA4CuyW3Y7nE15gKzTSxr3u4Uk69v1q7Nul9vpcHnP8y9uSRJa18Fv2V1uh1vWu9xBLreva2kTOknWScqllaWmX2JJlkVLFnjwfLjeIJpRAQAA8ECjDAAAANDKpk2bZrVaNRJMJlPv3r2vu+66n/3sZ8OHDzeZ/Hxp8yZxuf71Trq60jkAAAAQgEp25ey694XG58cM7jEg1qKRcGbGvX8bcE2L6/LC7v53Z8znW08WH/+orffY0UTfcd0+m93XVaD1PXpLcJ+eZ4UQva8J73fN+aY+vEtVRNCBL5q/+7CeNdv/qYShL32g69ar+UMBAAAaZQAAAIBW53K51G6PepnN5hMnTpw4ceLzzz8XQtx7770zZswwGo3tVSAAAAAAAAAAAAGqXSdaBAAAAFDX559/PmvWrIqKCl8XAgAAAAAAAACAn2NGGQAAAKANbd26Va/Xe94iy7LT6bx8+fL//d//rVu3zul0CiEqKysXLlyYnp6u09HLDgAAAAAAAABAW6FRBgAAAGhDkiTVvSUoKKhHjx6TJ09OSkqaPXt2TU2NEOL8+fPZ2dk333yzL8rsKIxG46effurrKgAAAAD4UoX53P/ueTF53O9iYwb5uhYAAAD4Ib6uCgAAAPhMVFTUvHnz1M2vvvrKh8UAAAAAQEcgC+F2u4SQfV0IAAAA/BONMgAAAIAvJSQkqHFubq4PKwEAAAAAAAAAwO+x9BIAAADgSyaTSY1tNlsjH1VaWnrgwIETJ06cPHnSYrEYjcZBgwYNGzZs3LhxPXv2bEYZsizn5eXt3bv3u+++u3z5cmho6ODBg0ePHn3rrbd6Vuh1kMLCwu++++748eM//PDDlStXDAZD7969Bw4cOGrUqBEjRgQHBzejtsZwuVy5ubkHDhw4fvz4pUuXnE7nsGHDli5dWm/msWPHjhw5cvz48cLCQqfTGRMTk5CQcMMNN4wePbrtKgQAAAAAAAAAdAQ0ygAAAAC+VFNTo8a9evXyml9RUfHmm2/WmnvGbrfn5OTk5OSsXbs2Pj7+97//fWxsbEMjXLx4cc6cOUr86quvJiQkXLhw4eWXX75w4YLngNnZ2dnZ2StXrpw/f/5tt92mXZXFYvniiy82bdpUWVlZq7D8/PxaX46AAAAgAElEQVT8/PzPPvtMkqS5c+cmJydLktTQOFarddq0aUqclpaWlJTUmPrz8/NfffXVWrt2OBy1HijL8s6dO9esWVOrIamkpKSkpCQrK0uv1z/11FN33323RoUAAAAAAAAAgE6NpZcAAAAAXzp+/Lga33TTTdrJubm5M2bM0F6h6fTp07NmzTpw4EBDCbIsu34ihCgoKJg9e7Znl0yt5LfffnvHjh3ahS1cuHDNmjW1WlXqDrVixYrFixe73W6NNLW2htJq1Z+Tk/Pb3/5We9dCiOrq6gULFqSnp2tM2+NyudLT05csWaKMDAAAAAAAAADwP8woAwAAAPiM2Wx+55131M1f/OIXGslnzpxZtGiRujly5Mjp06f369cvKCjI6XSeO3du/fr1Bw8eVO594403lixZMnLkSO0C8vLyMjMzZVkeMmTI9OnT4+PjQ0NDZVkuKyvLzMzMyspS0tLT08eOHRsVFaU9Wr9+/e67776hQ4fGxMSEhoYKIVwuV3l5eXZ29gcffGC1WoUQ33zzzfr16x977DHtoRrp8OHDW7duFUIMGDBgxowZAwYMUOq/dOmSZ6uQzWabN2/exYsXlc1u3bo9/vjjI0aMiIiIkCTJZrPl5+evXr367NmzQoicnJxly5YtXLiwVSoEAAAAAAAAAHQozCgDAAAAtDeXy1VWVvb555/PmjXLbDYrN86dO7dr164aD1m8eLG6OXPmzCVLlgwcODA4OFiSpKCgoLi4uEWLFj3zzDNqztKlS+12u3YlGzZscDqd06dPf+ONN4YPH24ymSRJ0ul0sbGxqampTz75pJq5efNmjXFGjRq1cuXK5cuXJycn9+nTRxlHkiSDwdCtW7df/vKXH3744dChQ5XkzMzM8vJy7cIaacuWLbIs33///cuWLRsxYoRaf48ePR588EE17d1331W7ZO69995Vq1bddtttUVFROp1OkiSj0ThixIh33nknOTlZydm/f7/2tD0AAAAAAAAAgE6KGWUAAACANjR58mRJkjxvqbusT58+fdLS0oYMGaIxzj/+8Y/Lly8r8YQJEx544IF605KTky9evJiZmSmEsFqtmzdvnjZtmnaFSUlJU6ZMqfeuiRMnbtu2rbS0VAiRlZWVkpJS61hUKSkp2nsJCQn5wx/+8PjjjysrH+3cudNrYY00cuTImTNnNlSYEKKgoGDfvn1KPGbMmNmzZ9ebrNPpUlNT8/Pzz5w5I4T405/+9Oc//1ljWIXVaj158qR2jtPpFEK4XC6Hw6GdGciUlbbcbjdnKXDUWl6NSx84lN+Ksixz0QOHctE9N2VZ9lUx8IlaPwNopKaeN6//s2Q3//Xag5tfcX7q3//FmnWFW/i3z/PhTqdT6hjPozyf0vPsLqAob21x0QNKrfczHQ6HTsd8HAFB/VXfES66+junVV5R0igDAAAAtKFanwTXNWHChJkzZ5pMJu20jz/+WI1nzpypkTl16tStW7cq76pv3rx56tSp2q9hnnjiiYbukiRp8uTJGRkZQgir1XrlypWYmBjtOjWYTKbJkydv2LBBtGqjzJw5c7TbWT766CM1njdvnkayJElpaWnz588XQpSWlhYXF/fp00d77yUlJbNmzdLO6d+/vxDCZrNVVFRoZ8LhcHCWApPb7ebSByAuesCqqqrydQlobxaLxdcldErV1dVNyvf60sPpomOpPbjoDPNTau+as863XxqjhT8Ynh9Rm81mOajDPY9yuVw8uws0vI4LZOoM2QgcHeGiq0+PW6VRhlYvAAAAwJeysrIefvjhv/71rxpfGC0rK1OmdRFCJCUlaXfVBAcH/+pXv1Jiu92uzI/SkMTExPDwcI0Edb0kIcSVK1c0MhsjMTFRCcrLy61WawtHE0LExsb26tVLI6GmpiYnJ0eJb7/9du2DFUIMGDAgNDRUib/++uuWVwgAAAAAAAAA6FCYUQYAAABoQ1u3btXr9bVudLvdFovl1KlT69atKygoEEJs2bLl22+/ff31141GY91BCgsL1Xj8+PFed3rzzTdv2bJFiQsKCuLj4xvKHD16tPZQkZGRanz16lWvu278aBUVFfUebJPceuut2gmefUJek4UQkiQlJCRkZ2cLIbyuqQQAAAAAAAAA6HRolAEAAADaUL0L/eh0uvDw8J/97GeJiYmbN29eu3atEOL06dNLly5dsmRJ3fxz586pcc+ePb3utEePHmp89uzZRmbWKzg4WI3tdrt2sizLRUVFeXl5x44dO3fu3IULF2w2m2eC52zwlZWV3bt31x7QK69LIxUXF6tx3759Gzmm0ijz/ffft6Q2AAAAAAAAAEAHRKMMAAAA4DOSJD344IOHDx8+duyYEOLo0aMnTpzwXO1Icf78eTWOiIjwOmxYWJgaezbZ1BUSEtK0iht26NChjIyMS5cuNTLfa9tNY0RHR2snFBUVqfGzzz6r0+nET6vYyrKsBkIIt9utBOrS72azWZbleludVL169frggw+0a/h//+//CSGMRmNUVJS3AwpcNTU1NpstODhYe2Ux+BPloiuxTqdrzC83+AeHw2GxWCRJ8pxmDP7N6XRWVVWpm+Hh4XXn24O/UqYkvOaaawwG3ohusmqPZ/WNoTzX1WDQcxXag8FgEHaHr6tA61N/jxma9VfMEBTUkr3r9Xr1pyoiIkLqGK8uq6ur1Zf2er3e62LH8Bt2u726upqLHlCUi65uRkREeH3iAf/gdrsrKytFx7joQT/9MdV+w7aReGYMAAAA+JIkSY888siiRYuUzW3bttVtlHE4/v02a2M+Y/B80VJrTpc2smrVqu3bt7fDjmrxejZqamrU2Gq1tnoBISEh119/vXaOUqROp+PzIQ3K61tJkjhLgaPW2ytc+sChzi7GRQ8cSiuqSq/Xc/UDDRe9eZraUub1AwNJ1wqfKMCrVvnkBh3Qv6+sL66w58+VXq/XdYxfqp5V8WouoDidTiXgogcO9XtlCoPB4POeCbQPz5fwPr/o6u8cGmUAAAAAfxAXF6fGX3/9dd1ZTII8vnlW63VpvTxXOGrFOWMasmfPHrVLRqfTTZw4cezYsT179gwLCzMYDJIkqYdTUlIyZ86ctq7HE2/ZAAAAAAAAAAA88a4xAAAA4GO11pqpqampdUv37t3V2Gw2h3mbg91isahxz549W6PGBrlcroyMDCWOiIhYvny5xnJIjenyaV2ep27Dhg1eTx0AAAAAAAAAwL8xJxIAAADQsXgutKTo3bu3GpeUlHgd4eLFi2rcr1+/1iqsXiUlJWpfzrPPPqvRJVOrsPZx3XXXqXFpaWk77x0AAAAAAAAA0NHQKAMAAAD4WHV1tedm3cWS+vbtq8Zff/211wGzs7PVuH///i2rzovi4mI1HjJkiHby4cOH27SYujyXtWr/vQMAAAAAAAAAOhoaZQAAAAAfO3PmjBqHhYUZjcZaCd26devatasS79q1y2q1aozmcDg+/fRTJQ4ODo6Pj2/NWuuw2WxqrNfrtTOzsrLatJi6IiMjhw4dqsQbN250Op3tXAAAAAAAAAAAoEOhUQYAAADwJVmWP/roI3XzzjvvrDdt6tSp9ebXtXXrVrV5ZdKkSTpd2z7nVzt4hBCFhYUamWvWrPFJn8r06dOVoKamZvXq1e1fAAAAAAAAAACg46BRBgAAAPClrVu3Hjt2TN2cNGlSvWl33XVXdHS0Em/btq2hqVn27t27bt06JQ4JCXnooYdatdh69OvXT43fe++9elthZFn+5JNPduzY0dbF1Ov6668fP368Eu/YsWPNmjUul0v7IWVlZR9++KHFYmn76gAAAADUFhXea/qktbExg31dCAAAAPwTjTIAAABAe5Nlubq6Ojc3d+HChX/961/V2x999NHu3bvX+xC9Xv/SSy+pmytWrFi6dOnZs2eVxhSXy1VcXLxs2bK3335bzXnhhRfqruLU6sLDw2+55RYlLioqSk1NPXr0qLo4VHV19dGjR+fPn79+/XohxJQpU9q6nnrNmzfv2muvVeJt27Y99thjn3322YULF+x2u3Kj2+22WCxnz57duXPnc889l5KSkpmZ6Xa7fVItAAAAAAAAAKDtGHxdAAAAAODPJk+eLEmS5y2yLNfbgZGcnKw9AcyAAQMWL168ePFi5eEHDx48ePBgQ8nPP//8qFGjmlt106SlpR09erSqqkoIcf78ec+GHk+pqakjR47ctGlT+1TlKSQk5J133lmyZElubq4QoqqqKiMjo/3LAAAAAAAAAAD4HDPKAAAAAG3I7Xa7/lPdLplrr732tddee+aZZ2q11NSVmJj4/vvvDxkyRCOnb9++q1atuuOOO1pYeeOZTKb09PRBgwY1lGA0Gl955ZUJEya0W0n11vDaa6+9+OKLkZGR2pmSJCUnJy9fvjw8PLx9agMAAAAAAAAAtBtmlAEAAADam8Fg6N69e1xc3JAhQ0aNGtWrVy+vLTKq6OjoN99889KlS/v37z9+/PiJEyeqqqpMJtPgwYOHDRs2bty43r17t2nx9YqMjHzrrbdOnTq1Z8+evLy8oqIiIURsbOywYcPGjh2bmJgYFBTU/lXVIknSmDFj1q5dW1hYeOjQoVOnTuXn51+9elUptU+fPv379x8xYsSgQYM6QrUAAAAAAAAAgLYgybLs6xoAAAAAwG/Nnj378OHDc+fOTUlJ8XUtHVdVVZXVag0JCWEin8BhsVhqamqUWKfTdenSxbf1oN3Y7fbKykpJkmJiYnxdC9qJw+GoqKhQN6OiogwGvrwXKMrKyoQQkZGRNCI3R1Pfupdlodl/LwuhndAqrgkLq66uVuJFi15csmRJW++xo5Hb4zR3RJWVlXa7PTQ0NCwszNe1tJWWXdiWfRgny/+x/47xQ2Y2m202mxIbDIaoqCjf1oN2Y7Vaq6qq9Hp9dHS0r2tBO7HZbGazWd3s0qWLTsfCNQHB7XZfuXJFdIyLbrFYbr/9diHExo0b4+PjWzgaL0oBAAAAAAAAAOhgmvpBuLf89v9cXZI6yKf57SrwjvhfJI9/qE/LTkwA/l8CAKAt0SgDAAAAoP1YrdZp06YpcVpaWlJSkm/rAQAAAAAAAAAEFBplAAAA4Fe++eYbz8m9FyxYMG7cOB/Wg7pcLpcSuN1u31YCAACAxjj/5bffZ/yvds6A68OEyyWECHv0BtHnXzMfOINtQohKZ5DOzeT8HdfmH40tWxLmPzjlfz/J/7Lg8gt/y2u9sdGhORwOt9ut1+tZX8/vTbjBFmqsCRHS8B++CfrpBb5Op5PrXWUvZoDU/xftWh8AAI3A8xUAAAD4lc2bN6t9GEKIjRs30igDAAAAtETVj+d/3LhHO6fHL7q5rVYhRPC0ni5X1b9uNQghhF0WwtXwI+Frh8si3HKrtcp4DnX6ck3NyUutNTKADmJYvM3kumLSh468eETvcXu9v0ckSRI0ygAAOh4a+QEAAOA/KioqcnNzPW85ffp0WVmZr+oBAAAAAAAAAAAdCo0yAAAA8B979+6te+Pf//739q8EAAAAAAAAAAB0QCy9BAAAAD8hy/LGjRuVeOjQoUaj8ciRI0KIrVu3PvTQQzodPeIdgtFo/PTTT31dBQAAAAAAAAAgQPFpAQAAAPzEjz/+WFFRocQPPvjgpEmTlLi6ujo/P993dQEAAAAAmsB66eyRRROqzuT5uhAAAAD4J2aUAQAAgJ/Yvn27Gt9www06nU6n07ndbiHE3/72tyFDhviuNAAAAABAo8my7HIKWfZ1HQAAAPBPNMoAAADAH9jt9t27dytxUlJScHCwEGLChAk7duwQQhw4cKC6utpkMjV+wEuXLh0+fPjbb789e/ZsWVmZTqfr1q1bfHz88OHDExMTY2NjGzmO2+3+/vvvv/3225MnT/7www9WqzU8PHzAgAE33HDDTTfd1LVr18YM4nK5jh07duTIkePHjxcWFjqdzpiYmISEhBtuuGH06NHKwTaJLMt5eXl79+797rvvLl++HBoaOnjw4NGjR996662NP0utdYq8Ki0tPXDgwIkTJ06ePGmxWIxG46BBg4YNGzZu3LiePXs2Y8BWOXwAAAAAAAAAQGdEowwAAAD8waFDh9T43nvvVYK7775baZQRQvzzn/9MSkpqzFBms/mPf/xjTk5OrduLioqKioq++uorIcTQoUNnzZo1cOBAjXFkWd69e/ef//znmpoaz9svX758+fLlgwcPZmRk3HjjjU899VSPHj00Btm5c+eaNWtsNpvn7SUlJSUlJVlZWXq9/qmnnrr77rslSap3hIsXL86ZM0eJX3311YSEhAsXLrz88ssXLlxQc+x2e3Z2dnZ29sqVK+fPn3/bbbdpHJdo2SmyWq3Tpk1T4rS0NO2LUlFR8eabb+bm5nreaLfbc3JycnJy1q5dGx8f//vf/16jKactDh8AAAAAAAAA0HnpfF0AAAAA0AoyMzOVwGQyqc0ZcXFxERERSrxx48bGjFNRUfHkk0/WbQGp5cSJE/Pnz6/VAePJYrHMnz9/+fLlGjlCiJycnKeeeqqhe6urqxcsWJCenl6rS8aTy+VKT09fsmSJy+WqN0GWZddPhBAFBQWzZ8/2bBOplfz222+r3UX1avkpUutRFsZqSG5u7owZM2p1ydRy+vTpWbNmHThwoKGEVj98AAAAAAAAAECnxowyAAAA6PTKyspOnz6txJMmTVLnVpEkafLkyX/961+FECUlJefPn7/22mu1h1q8eHF1dbUSjx07dvLkyb169TKZTJIkud3uqqoqZcaUrKwsjUFqamrS0tLKysqUTaPR+Otf/3r8+PExMTEGg0GWZbPZXFhY+MUXX+zZs6ehQWw227x58y5evKhsduvW7fHHHx8xYkRERIQkSTabLT8/f/Xq1WfPnhVC5OTkLFu2bOHChdpHl5eXl5mZKcvykCFDpk+fHh8fHxoaKstyWVlZZmamelDp6eljx46Niopqu1Pk1ZkzZxYtWqRujhw5cvr06f369QsKCnI6nefOnVu/fv3BgweVe994440lS5aMHDmyHQ4fAAAAAAAAANCp0SgDAACATu/vf/+7Gt95552ed91+++1Ko4wQIisra8aMGRrjnDt3rqCgQIkfeeSRhx9+2PNevV4fGRkZGRk5fPjwlJSUTz/9tKFxli1bpnbJjBw58ne/+53JZFLvlSQpMjIyISEhISHhiSee+Oijj+od5N1331W7ZO69994nn3xSr9er9xqNxhEjRrzzzjsrV67ctWuXEGL//v333HNPQkKCxgFu2LBBCDF9+vQHH3zQs50oNjY2NTW1b9++q1evVm7cvHnzE0880XanSJvL5Vq8eLG6OXPmzAceeEDdDAoKiouLW7Ro0a5du9577z3lxqVLl65bty44OFhj2JYfPgAAAAAAAACgs2PpJQAAAHRubrd7y5YtStyzZ88ePXp43hsTExMfH6/E27dvb2h9IsWpU6fU+MEHH9TIDA0NnTp1amhoaN278vLysrOzlXjAgAGvvPKKZ5dMLZGRkU8//XTd2wsKCvbt26fEY8aMmT17tmeXjEqn06WmpsbFxSmbf/rTn2RZ1ihbCJGUlDRlyhS1TcTTxIkTu3XrpsRZWVn1DtUqp8irf/zjH5cvX1biCRMmeHbJeEpOTn7ooYeU2Gq1bt682evILTx8AAAAAAAAAEBnx4wyAAAA6Ny+//77mpoaJZ4yZUrdhAcffPCtt94SQtjt9ry8PI0FetTmDKPRGBQU1Lx61q9fr8YLFy6st8HFK89pZubNm1dvY4dCkqS0tLT58+cLIUpLS4uLi/v06aMxssZEKcpKVRkZGUIIq9V65cqVmJiYWjmtcoq8+vjjj9V45syZGplTp07dunWr0+kUQmzevHnq1Kk6ndaXAVp4+HUVFhY+88wz2jlhYWFCiJqamvLycq8DBiy32y2EsNvtnKXAoVx0NebSBw61E5GLHjhqtZ9WVlZqPLdBx6SuvKlBFv+60E6nkwsMAH7M5XaJ/3w+r8Fut1fzrM/vKM/ueB0XUGo9pb969SpP6QNNRUWFr0v496uSRv4N0kajDAAAADo3z/V9br755roJo0ePVuMtW7ZoNMqEh4crgdVqtVgsSn9Dk5jN5mPHjilxYmJireltGqmmpiYnJ0eJb7/9drWqhgwYMCA0NFTpFvr66681GmUSExO1Rxs6dKga19sp0vJT5FVZWVlpaakSJyUlaczHI4QIDg7+1a9+pUwpZLfbz5w5o04gVFfLD78up9NZUlKindO/f38hhCzL2hMaQXCWAhuXPtDw/z2Qtcp7mmhnjbpqP316IssyH5sAgB9r0gSsPOvzY1zcQMZT+gDUEf6/t24NLL0EAACATqy6uvrAgQNKnJiYeM0119TNMRqNt9xyixIfOXLEbDY3NNrAgQPV+PXXX2/MF2drOXPmjBr/4he/aOrD6w5y6623es2XJCkhIUGJT548qZHp2TNUr8jISDW+evVq3YSWnyKvCgsL1Xj8+PFe8z27owoKCjQyW374AAAAAAAAAIDOjkYZAAAAdGL//Oc/1XjSpEkNpU2cOFGN9+3b11BaXFxcr169lPjo0aMPP/zwm2++mZub2/h2EM8mj7i4uEY+qpbi4mI17tu3b2Meos4i8/3332ukeZ3hJjg4WI3tdnvdhJafIq/OnTunxj179vSa73lQZ8+ebWRmvbwePgAAAAAAAACgs2PpJQAAAHRin3zyiRLodLoRI0Y0lDZkyJDg4GCl9WHTpk333HNPvcvoSpK0ePHitLQ0ZRkjIcT+/fv3798vhIiJiRkzZszo0aOHDh2qsd6Q5yo8ntOTNElRUZEaP/vsszqdTvy0ErAsy2oghHC73UqgTjtpNptlWW5okeCQkJDmlaRq+Sny6vz582ocERHhNd9zX55NNnW1/PDrioiI+PWvf62dk5eXJ4QwGAxGo7HVC/AbDofD5XLp9fqgoCBf14J24nQ6nU6nEkuS1Bb/Q9ExuVwuh8MhhOC3YuBwu92eHajBwcHK0xt0Io36A/3TM1CuLwD4N51OEkI08MZDbXq9nmd9/kd5Ss/ruICivo5ThISENPT2I/yMLMs2m010jIveumt+0SgDAACAzurcuXNqU8WECRMMhgaf3Or1+okTJ27ZskUIUVZWVlhY2K9fv3ozY2Nj33///TVr1uzatcvz9suXL+/YsWPHjh1CiBtvvHHGjBn1zvXi+SFQsz/vV3tQhBBWq7V5g7SdFp4irzxfdWtcU5XnJzHKy7b21LVr14ULF2rnzJ49WwgRHBxc79JgUFRVVblcLoPBwFkKHBaLxbNRhksfOOx2u/KuOhc9cDgcDs/nSCaTqTF/4tGhNOZjMElIshBCCL1e72rrggAAvqOTdEIISWpUW6TBYAjiWZ/fsVqtDodDp9PxlD5w2Gw2z7fswsLC6I0OEG63W3nHtSNcdLVTp1Uq4UUpAAAAOqsvvvhCjXfs2FGrb6MWz37zzz///Omnn24o02QyPfPMMykpKd9+++2BAweys7NrtV/k5OTk5ORMnjz58ccfr9VH77l2j8PhaN63pjr+R0ctOUVeeTYYqTPlaPC8snyTCQAAAAAAAACgraO/BQ8AAADUy+Vyffrpp7VuaeRjs7KyZs2apT3ji8lkGjdu3Lhx42RZvnr16unTp/ft2/fVV1+pe9myZUvfvn2TkpI8H9WzZ081rqysDA8Pb2RJnrp3767GGzZsaMkyRm2qeafIK8/DN5vNXg/fYrGosef5BwAAAAAAAACgLuZEAgAAQKeUm5urrtnRVG63+8iRI41MliQpOjp61KhRzz33XGZmZkpKinrXqlWrai2M6rnY0NmzZ5tX3nXXXafGpaWlzRukPTXpFHnVu3dvNS4pKfGaf/HiRTVuaEUtAAAAAAAAAAAUzCgDAACATmnz5s1q/PHHH5tMJq8PcblcU6ZMUeY72bRp05gxY5q6U4PBcP/99xcXFyvLPFVXV1+5cqVr165qQlxcnBrv3r173LhxTd1FrUEOHz7sudnxeT1FXnk2G3399dc/+9nPtPOzs7PVuH///k2sFwAAAAAAAAAQWJhRBgAAAJ1PZWXl0aNHlfjGG29sTJeMEEKv1ycnJyvxyZMny8vLm7d3z/YXs9nseVd4ePiQIUOUOCcnx3Oyk8aLjIwcOnSoEm/cuLHZE+f4kMYp8qpbt25qY82uXbusVqtGssPhUFfgCg4Ojo+Pb2KlAAAAAAAAAIDAQqMMAAAAOp99+/ap8b333tv4B951111q/OWXXzZv71euXFHja665pta9jz32mBovW7asqQsPKaZPn64ENTU1q1evbsYIvqV9iryaOnWqEsiy/NFHH2lkbt261WazKfGkSZN0Ol7gAAAAAAAAAAC08D4yAAAAOhlZljdu3KhujhgxovGP7d+/f0hIiBJv3rxZlmXPezdu3Jibm6uszdSQmpqaDz/8UImNRmPdRYUSEhJuvPFGJT558uRrr72mMSeKxWL5y1/+Uvf266+/fvz48Uq8Y8eONWvWaFclhCgrK/vwww8tFot2Wgu1yiny6q677oqOjlbibdu2ZWVl1Zu2d+/edevWKXFISMhDDz3U1B0BAAAAAAAAAAKNwdcFAAAAAE1z9uxZddWkW265JTg4uPGP1el0EyZMUBbrMZvNBQUFAwcOVO/94Ycf1q1bFxwcnJycfNNNN/Xp0yc8PDwoKEgI4XK5lPWe/vKXv1RUVCj5c+bMkSSp7l5++9vfPv3000qROTk5M2fOfOSRR8aOHRsdHa3X62VZrq6uLi4u3r17t9IC8sQTT9QdZN68eT/88MP58+eFENu2bdu9e/dvfvObUaNGdenSRTlkt9tdU1NTVlZ24sSJnTt3nj59Wghx//33N/5sNENrnSJter3+pZdeev7555XNFStW5OTkPProo7169TIYDC6X6/z585988slXX32lPuSFF14wGo2tcYgAAAAAfMzYPZ5+dL4AACAASURBVO5nr//d11UAAADAb9EoAwAAgE7ms88+U+O77767qQ9PSkpSGmWEEP/7v/+rdmOo7Hb79u3bt2/frj3OhAkT7rzzznrvMplM77333gsvvFBUVCSEsFgsq1evbuoKSiEhIe+8886SJUtyc3OFEFVVVRkZGU0aoe20/BR5NWDAgMWLFy9evFhZu+rgwYMHDx5sKPn5558fNWpU83YEAAAAAAAAAAgoLL0EAACAzsRut+/atUuJJUkaNmxYU0e47rrrQkNDlXjPnj0a6yI1JDw8fMGCBXPnztWYKyU8PHz58uUpKSkGg1Zv+siRI1euXNnQvUaj8bXXXnvxxRcjIyO1S5IkKTk5efny5eHh4V7rbweNOUVeJSYmvv/++0OGDNHI6du376pVq+64445m7wUAAAAAAAAAEFCYUQYAAACdyTfffCPLshLfcccdyqI/TSJJ0r333rt582Zl89ChQ7feeqsSL1y4sLS0tLCw8MyZMz/++OP58+dLS0tramrcbndkZGTfvn2HDRuWmJg4aNAgnc57x7lOp7v//vvvu+++o0ePfvvtt8ePHz979qzdbu/SpUv//v1Hjhx50003xcbGeq12zJgxa9euLSwsPHTo0KlTp/Lz869evSqEiI2N7dOnT//+/UeMGDFo0KBmnIpmaN1T5FV0dPSbb7556dKl/fv3Hz9+/MSJE1VVVSaTafDgwcOGDRs3blzv3r1bvhcAAAAAAAAAQOCQ1I8ZAAAAAACtbvbs2YcPH547d25KSoqva+m4qqqqrFZrSEhIB5kVCe3AYrHU1NQosU6n69Kli2/rQbux2+2VlZWSJMXExPi6FrQTh8NRUVGhbkZFRWlPuYcOqPLUuUv/d0w7p2v3f13W4JHdpG4hSmw2m4UQJpNJr9e3aYVoiaNXDK34KUHSdcOtP/2Jf3jOf/0mdUGrDY2Oraamxul0BgcHh4SE+LoWtK1BvewhBpdelmMunHE4HMqNer3eZDLVTf7/7N17fBT1vfj/z+xukt2NuZELt3CRa8Itj4BcwkVrqnBULDSgkn5VFHskB8T2UX7SB7UiotQe9fSciojgKa2tESFcLF6QCi2CKCaABsIdEQmQkISEbLLJ3uf3x7Tjnk2y2SSb3U329fyDx3tmPzOf98zsLjvZ934+kjFJJA0PbILodBaLpb6+XqvVJiQkBDsXBIjValU+1yl69Ojhl9/IIfS5XK7q6moRGhfdbDbfdtttQogtW7YMGjSog3vjphQAAAAAAAAA0KLYoX1jh/Ztx4ZmZ5UQIkoTF6ELxPCHaJ9JrQxz2TYat9lXhyRFzxzV2597RwgzmUw2m81gMERHRwc7FwRInZRis1qVWKfTSfHxwc0HAADfUeoFAAAAAAAAAAAAAACAsMCIMgAAAIA3Fovl3LlzJSUlZ86cKSsrq6mpcblc0dHR/fv3v/nmm2+++eb09PSePXtKbr+bbGk/ubm5SrxkyZLs7Oymba5du5aXl6fEq1atGj16tH+PJcB8OWQAAACga6kv+lo4HMHOIkB0g+KlpMg2bvT9NE6lNyyffXPd4+HJ0VdauXdC16RtaIhwODSRkXKd3ntLp0OUFTcEJquOSL1roqTh2QoAQPdEoQwAAADQvLKysvz8/P379zd9yGaz1dTUFBcXK4sxMTH333//jBkz9HpvfxB0Op1K4HK5mm0gy7Lapnto9ZABAACAruXKc6846+qDnUWAJL0+1xljbts20vef/P92pur41mKPx78c/o5G5u6gGzL8K5C9tRJCCBGZsOferzs1Gb+Yb9ktRfIlGgAA3RP/xwMAAACe7Hb7//7v/+7atcvH9nV1dX/4wx82btx4//3333fffZGRbf3NJQAAAAAAAAAACAQKZQAAAID/o66ubtmyZVeuXFHX9O7de/bs2enp6UlJSUajUZIkWZYtFktlZWVJSclHH31UWloqhJBlefPmzVFRUXPnzg1e+l2MyWSaP3++Ej/11FOTJ08Obj4AAAAAAAAAgO6NQhkAAADgew0NDU888URNTY2ymJCQ8Mtf/nLEiBEezSRJMhqNAwYMGDBgwD333FNaWvrGG28cP3484Pl2B+r0TLLc+hDdAAAAAAAAAAB0BIUyAAAAwD/Jsrxy5Uq1SmbYsGGrV6+OiopqdcN+/fqtXr26qKjolVdeaamNXq/fuXOn33IFAAAAgG7qZOmNsb/4655V/zY1vWewcwEAAEA3pAl2AgAAAECo2Lt37+nTp5U4KSnpN7/5jS9VMqrx48f/8Y9/7N+/f+dkBwAAAABhQRbC7nQx4iQAAAA6CYUyAAAAgBBC2O32N954Q11cvnx5ZGRkW3diNBonTJjg17wAAAAAAAAAAIDfMPUSAAAAIIQQX3zxhc1mU+K0tLShQ4cGNx+V3W4vLCw8ePDgmTNnampq4uPjMzIyJk6cOH78eK1W29a9OZ3O48ePHzx48OTJkxUVFQ6HY8SIEatXr27aUpblS5cuHTt27OTJk9988011dbVOp0tNTR06dOi4cePGjBnTjkIiP+q89Hw/RQAAAAAAAACALodCGQAAAEAIId577z01njt3rt/3b7FYcnNzlXjJkiXZ2dm+bHX8+PEXXnihsbFRXVNVVbV37969e/dGR0c//fTTo0aNamnba9eu5eXlKfGqVatGjx599uzZVatWmUwm92Z2u91jQ7PZ/Mknn2zdutWjpc1mO3v27NmzZz/88ENJkhYtWjR9+nRJknw5kKYWLVpUVlYmuw2n/tJLL2k0zYx5WVBQoNN9f+fix/TafYoAAAAAAAAAAF0UhTIAAACAsFqt58+fVxdHjhzZGb04nU4lcLlcvrQvLCx84YUXWnrUbDb/6le/ysvLu/vuu5ttIMuy2qMQ4vDhw6tWrfKl32XLlpWWlnpvI8vy2rVrv/jiixUrVjRb3dIqp9Ppnl7ThAOQXrtPEQAAAAAAAACgi6JQBgAAABBXrlxR48TExOjo6CAmozhy5Mj27duFEKmpqQsXLhw2bJher3e5XOXl5du2bduzZ4/S7I033ujdu3dmZmare9uxY4cQYsiQIY888siQIUMMBoMsyxUVFQcPHmx2kwEDBtx7773p6emJiYkGg0EI4XQ6a2pqCgsL33rrLYvFIoQ4evRofn7+Qw895McD95Hf02vHKQIAAAAAAAAAdDkUygAAAADi6tWrajx48OAgZqJSqmSmTZv2i1/8QqvVKiu1Wm3fvn2ffPLJyZMnq2OfvPjii/n5+REREa3ubfbs2Y8++qg6G5EkSb169ZozZ45H43Hjxi1fvjw1NdVjvU6nS05Ovueee+64444VK1acOnVKCFFQUDBz5syEhIS2HuD69euFEDdu3Hj44YeVNU899dS0adNa3bCT0mvTKQIAAAAAAAAAdFEUygAAAACisrJSjfv37x/ETNylpqYuXbq02ZmDbrnllscff3zDhg1CCIvF8tFHH82aNcv73jIyMtxLQLxYsGCB9wZRUVHPPvvs/PnzrVarEOLjjz/Ozc1tdbfNcj86H6dw6rz0fD9FqpqamoKCAu9tlOFt7HZ7Q0OD73sONw6HQwjhdDo5S+HDbrersSzLXPrwoc55x0UPHx6TTloslvbN24iuy2q1ur/td3WyLAc7hcBxOX2aNBZok67yImpoaNA4+BLNG/e5jF0uF5/uwodyC899XFjxmC29sbGxTX9AQ9el/q8dChe9sbFRCTzuMduH/+MBAAAAUVtbq8btGBylkyxevNjL10h33XXX22+/rfxJYvPmzT/60Y+836vk5eX58WbGaDTm5ORs2rRJdKxQppO0L712nKKamhqlXMkLZYwiCmV84XA4lD+3IdzwB9YwxEUPZ0oJKcIKF73rcrpc1LXB7yiU6ZYolAlDXPRwptYrIHyEwkX373sO/8cDAAAA/2dgA52ulQ/JJpNp/vz5XhqsXr16xIgRHUxJr9d734lWq83JyXn77beFEPX19eXl5b17926pcUpKSt++fTuYkofMzEylEqWmpsZisej1ev/uv4Paml5nnCIAAAAAAAAAQKihHBwAAAAQERERauzLgBZOr/zy87ipU6e2OrrJ2LFj1fjChQteWk6bNq3jKXmIi4tTY/cheUJEW9PrjFMEAAAAAAAAAAg1jCgDAAAAiNjYWDW+ceNGEDNRDR06tNU2PXv2VOPLly97admvX7+2JiDLcmlpaUlJyYkTJ65cuVJeXm61Wt0buM8FazKZ3JMJAL+n145TJITQaDRGo9HHxkGfxzeUqeVlnKXw4VFTyKUPK8rV56KHFfeXPJc+rPB6B9B1SZLE21er+C8+bPFffBji9R62Quf17t8cKJQBAAAARHJyshpfunTJe+PY2NidO3d6rHzvvfc2btzYSSm1xGAwqHFZWZmXlgkJCW3qvaioaP369RUVFT62t9lsbdp/B3VGem09RYqBAwfu37/fe5uFCxcKIYxGY2JiYju6CBP19fUWiyUqKiomJibYuSBAzGazOr+1RqPp0aNHcPNBwNhsNpPJJEkS74rhw263u4/uFhcX1+pMl+g2qqqqhBCxsbHuIzh2dVUh8CVBwERE6JzC2no7oC00mq4x10FiYqImkv+wvKmrq1N/sqLT6eLj44ObDwLGYrHU19drtdr2/S0FXZHVaq2rq1MXExISusqbOTrI5XJVV1eL0Ljoer1eCfySCf/HAwAAAKJPnz5q7H0Oo5ZotVr/pSOEEJGRkW3q1GM8FQ9t+jpqw4YNH3zwge/tA6yT0uMbOwAAAAAAAAAIB/wtGAAAABB9+/ZV48rKyoaGBt/n0+kkvgyC4j67kC+FNb7Yt2+fWoai0WhmzpyZlZXVp0+f6OhonU7nPvT01atX8/Ly/NJpt0kPAAAAAAAAABDiKJQBAAAAhF6vHzRokDqWzMmTJ2+55ZbgpqQMU+9dQ0ODGvfu3bvjnTqdzvXr1ytxbGzsmjVrvAyi63Q6O95jm4R4egAAAAAAAACA0MfkYQAAAIAQQsyaNUuNCwoKgpiJ4vz58622qaysVOPU1NSOd3r16lWz2azETz75pPeppq9du9bxHtskxNMDAAAAAAAAAIQ+CmUAAAAAIYSYMmWKTvfPARdPnTp19uzZ4OZz4MABWZa9tzl69Kga33zzzR3v9PLly2qclpbmvfGRI0c63qO7Vo83uOkBAAAAAAAAALoBCmUAAAAAIYSIjIx8/PHH1cWXXnrJZrMFMZ/GxsYzZ854aeB0Ordv367E0dHRffr06XinVqtVjbVarfeWu3fv7niPGs33tyQOh8N748CnBwAAAAAAAADoZiiUAQAAAP5pxowZQ4YMUeKKiopnn302uLUya9eudblcLT26Z8+e+vp6Jb7vvvskSep4j0lJSWp86dIlLy03btzYal2LL/R6vRq7zyTVrMCnBwAAAAAAAADoZiiUAQAAAP5JkqRVq1bFxsYqiydOnMjLyzt37lyrG1qt1pKSEr/n8913361Zs6bZWpni4uK1a9cqcVRU1MyZM/3S44ABA9T4tddea7bWRJblzZs379q1yy896nS66OhoJS4qKgq19AAAAAAE3sh+8c7tj04b0TPYiQAAAKB7olAGAAAA+N5NN920du3aXr16KYtVVVVLly594okn9uzZU1pa2tjYKMuy8pDdbq+trT1+/PjatWvvv//+L774wr+Z3HvvvUKIvXv3/uIXvzhx4oQyto3L5aqoqNiwYcMzzzyjtly2bFlkZKRfOo2JiZkyZYoSl5aWLl68uLi42GKxKGsaGhqKi4uXLl2an58vhJg7d65fOs3OzlaC06dPv//++3V1depJDoX0AAAAAAAAAADdiS7YCQAAAAChJS4u7rXXXnvjjTf27NmjrLl06dKrr77qy7YJCQmPP/74iBEjOp7GpEmT0tPTX3rppQsXLixfvrylZo899tj48eM73p1qyZIlxcXFyqROZWVl7hU57hYvXpyRkbF169aO9zh79uz3339fid98880333xTCKHRaNTJpAoKCnQ6XbDSAwAAAAAAAAB0J4woAwAAAHiKjIx88skn165dm5WV5eMmI0eOXL169Z/+9KcpU6aoFR4dNHXq1JUrV7Y0WozBYHj++ednzZrll75URqNx3bp1w4YNa6mBXq9fuXLljBkz/NVjcnLyL3/5S4+T5nK5nP8S3PQAAAAAAAAAAN0JI8oAAAAAzevXr9/y5csbGxvPnj177Nixs2fPlpWVXb9+3eVyGQyGPn36DBw4MDU1dejQoYMHDzYajZ2Rw9ixY/Pz87/88suDBw+ePn36xo0bsbGxmZmZEydOnDRpklar7YxO4+LiXn755XPnzu3bt6+kpKS0tFQIkZKSMmLEiKysrMzMzIiICP/2OGXKlHfffffQoUNFRUUXL14sLy93OByhkx4AAACgMmaMdDU0BjuLANFp4rXa+LZtI39fAd8nNuqWAQkej0vJaVILc62iS3M4HLIsazSaVm9UZVnfO9s/Py/pXF0hRwAA0D6SzEdSAAAAAOg0CxcuPHLkyKJFixYsWBDsXEJXfX29xWKJioqKiYkJdi4IELPZ3Nj4z28ZNRpNjx49gpsPAsZms5lMJkmSEhMTg50LAsRut9fW1qqL8fHx6qSK6PaqqqqEEHFxcZQyh4/o6OiGhgYl/vWvf/38888HNx8EjMlkstlsBoMhOjo62LkgQOrq6qxWqxLrdLr4+DbW1aHLslgs9fX1Wq02IcGzGhLdldVqraurUxd79Oih0TBxTVhwuVzV1dUiNC662Wy+7bbbhBBbtmwZNGhQB/fGMxgAAAAAAAAAAAAAAABhgV9vAAAAAGHk2rVreXl5Srxq1arRo0cHN58Oslgsubm5SrxkyZLs7Ozg5gMAAAAAAAAACHEUygAAAAD+lJuba7FYvDQwGo2pqak333zz2LFjR40aZTQaA5abEEKWZafTGcgeO5t6OC6XK7iZAAAAAArblbJv854KdhZ+02/BGH1kqRBifsVPLpsc3htbHd9/LN+988z1b7d0bnIIGbIsK4EkSUFMIyX1JtOshqbrb+19k0bUNV3fbhN7OoXwdu/frIsvXPlmfZEf0+igeVe3aiL5ohAAEI74/w8AAADwJ6fT6b0Spa6u7tSpU6dOnfroo4+EEHffffcjjzyi1+sDlSAAAACATuaSnab6YCfhP067sJmFEHVWp8li995WdovtNqe53tqZmQGeLI16s8PWdL3d5ZBEM+s7wOWS2/z0dths1mp/1usAAID20QQ7AQAAACCsffTRRz/96U9ra2uDnQgAAAAAAAAAAN0fI8oAAAAAnWXHjh1ardZ9jSzLDofj+vXrn3/++dtvv+1wOIQQJpNp2bJl69at02goZAcAAAAAAAAAoBNRKAMAAAB0lqZTs0uSFBER0atXr5ycnOzs7IULFzY2NgohysrKCgsLJ02aFIw0uzC9Xr9z585gZwEAAAAAAAAA6DL4xSoAAAAQHPHx8T/72c/UxU8//TSIyQAAAABAiKitu/L2+49WXD8b7EQAAADQPVEoAwAAAATN6NGj1fj48eNBzAQAAAAAQoQshMvlFEIOdiIAAADonph6CQAAAAgao9Goxlar1XtjWZYvXbp07NixkydPfvPNN9XV1TqdLjU1dejQoePGjRszZkxkZGT70pBluaSkZP/+/ceOHbt+/brBYBg+fPj48eOnTZvmnqGPnE7n8ePHDx48ePLkyYqKCofDMWLEiNWrVwfscFrl3+MFAAAAAAAAAHQhFMoAAAAAQdPY2KjGffv2bamZ2Wz+5JNPtm7dajKZ3NfbbLazZ8+ePXv2ww8/lCRp0aJF06dPlySpTTmUl5evWLGivLzcfbeFhYWFhYWvv/760qVLb7311pa2vXbtWl5enhKvWrVq9OjRZ8+eXbVqlUeedru9kw7HYrHk5uYq8ZIlS7Kzs1vNsCPHCwAAAAAAAADo6iiUAQAAAILm5MmTajxx4sSWmi1btqy0tNT7rmRZXrt27RdffLFixQqNxtcpVs+fP7906VJZbn5Ic1mWX3nlFbPZfNddd7XUwOl0qouHDx9etWpVq53693DUBFwuV6sZdvB4AQAAAAAAAABdHYUyAAAAQHDU1dX9/ve/VxfvvPNO7+0HDBhw7733pqenJyYmGgwGIYTT6aypqSksLHzrrbcsFosQ4ujRo/n5+Q899JAvCZSUlBQUFMiynJaW9vDDDw8aNMhgMMiyXFVVVVBQsHv3bqXZunXrsrKy4uPjve/tyJEjO3bsEEIMGTLkkUceGTJkiLK3ioqKgwcPBuBwAny8AAAAAAAAAICuiEIZAAAAIKDcy0HUqZcWLVqUlJTU0ibjxo1bvnx5amqqx3qdTpecnHzPPffccccdK1asOHXqlBCioKBg5syZCQkJrWayadMmIcTDDz88Z84cdYYjSZJSUlIWL17cv3//N998U1m5bdu2xx57zPvetm/fLoSYPXv2o48+6r63Xr16zZkzJwCH0yr/Hi8AAAAAAAAAoCuiUAYAAADoLDk5OWpBhsJ9GiBFv379lixZkpaW5mU/CxYs8N5RVFTUs88+O3/+fKvVKoT4+OOPc3NzfckwOzt77ty5zT40c+bM9957r7KyUgixe/fuBQsWeBxLUxkZGe5VMi3pvMNplX+PVwhht9srKiq8t1Euusvlanr1oVLmw/KYKgvdm8ckaFz68KHOlMdFDx8e0yPyf2IYCsOL3t2O9/v/tZufwxQIHV5m2vXhDq9NPbVvo9B6ETmdTtnZ/vPifra5mwsryqc7LnpY8fhI73Q6W3q/RTfjfgsf9Ivu3/ccCmUAAACAzuJxD9nUjBkzHn30UaPR2PG+jEZjTk6OMmiK75UlXsZNkSQpJydn/fr1QgiLxVJdXZ2YmOh9b3l5eb4Ul/iifYfTKv8erxCitLT0/vvv995m8ODByj5ramramG/YsdlsNpst2FkgCFwuFy+QcCPLMhc9bJlMpmCngECrq6sLdgqB5uxez3O7w6HXCeHDDQ4QdC09S11Ol8avX4i5ZJdo++2vK8SqCmpqajSR/jkvyui5ftkVugru48JZbW1tsFNAoIXCRW9oaFACv3wo1XR8FwAAAADaZ/fu3fPmzfvTn/7kcDg6vrfMzEwlqKmpsVgsvrSPiYnx0iA9PV2Nq6urve8tJSWlb9++PqTpq7Yeji879OPxAgAAAAAAAAC6IkaUAQAAADrLjh07tFqtx0qXy2U2m8+dO/f222+fP39eCLF9+/avv/76t7/9rV6v70h3cXFxalxbW9vq3saPH+/7Dm/cuOG98bRp01pLsG3aejit8u/xAgAAAAAAAAC6IgplAAAAgM7S7DxEGo0mJiZm7NixmZmZ27Zt+/Of/yyEuHDhwurVq59//nkve5NlubS0tKSk5MSJE1euXCkvL7dare4N3MecNJlMPXv29J5er169vDeIjIxU41YnxOnXr5/3Bh78fjit8u/xAgAAAAAAAAC6IgplAAAAgOCQJGnOnDlHjhw5ceKEEKK4uPjUqVPus/+4KyoqWr9+fUVFhY8796XOIyoqyvdsW5WQkOB74844nFb593gVPXv2fOWVV7y3UWqhoqKiYmNj/Z5At2GxWGw2W0REhMFgCHYuCBDloiuxJEneZ0ZDd+JwOBoaGrjoYcXpdJrNZnUxOjq66ZB76K5MJpMIy4tuN5mvBzsHP9Lp/vk9gqTRCOEMbjKAdxqNpvn12ubXt78jSXK13qrJVi2kFyyxsbGayPZ/UdjY2Gi325VYq9VGR0f7KS+EOrvd3tjYqNFobrrppmDnggBRLrq6GBMT0+zvA9H9yLJcV1cnQuOiq/cUfsmEQhkAAAAgaCRJ+slPfvL0008ri++9916zhTIbNmz44IMPAptam6l/PW9VlzgcH0VHR//gBz/w3mbTpk1CCK1W6z5iDTwoBRMajYazFD7UP6kLISRJ4tKHIS56+HB/vQshIiIifP/YgO5Bp9NFREQEO4vA6l7Hq34VIQm+EkOoa+mbM/9/tydJQm7HRqFVKBMZGdmRQhn3cWH5SB9WlDGAuehhRZb/z1teREREqFX+oZOoY36HwkVXby0plAEAAAC6vIEDB6rxF198Icuyxwf9ffv2qWUlGo1m5syZWVlZffr0iY6O1ul0kiSp7a9evZqXlxeoxNupmx0OAAAAAAAAAKBroVAGAAAACCaj0ei+2NjY6L7G6XSuX79eiWNjY9esWeNlhiOnM9RHQe9mhwMAAAAAAAAA6HIYEwkAAAAIIR5zE1y9etVsNivxk08+6aWsRAhx7dq1TszMH7rZ4QAAAAAAAAAAuhwKZQAAAIBgamhocF+MiopyX7x8+bIap6Wled/VkSNH/JhYZ+hmhwMAAAAAAAAA6HIolAEAAACC6eLFi2ocHR2t1+vdH7VarWqs1Wq97Mdqte7evdvf2flZNzscAAAAAAAAAECXQ6EMAAAAEDSyLL/zzjvq4u233+7RICkpSY0vXbrkZVcbN250OBz+Tc/vutnhAAAAAAAAAAC6HAplAAAAgKDZsWPHiRMn1MVZs2Z5NBgwYIAav/baa83WjsiyvHnz5l27dnVSkn7UzQ4HAAAAAAAAANDlUCgDAAAABJQsyw0NDcePH1+2bNmf/vQndf2DDz7Ys2dPj8YxMTFTpkxR4tLS0sWLFxcXF1ssFmVNQ0NDcXHx0qVL8/PzhRBz584NxAF0QDc7HAAAAACdIT6m78Oz/pySODzYiQAAAKB70gU7AQAAAKDbysnJkSTJfY0syy6Xq2nL6dOn33fffc3uZMmSJcXFxfX19UKIsrKyZ555ptlmixcvzsjI2Lp1a4ez7lzd7HAAAAAAAAAAAF0LI8oAAAAAncXlcjn/r6ZVMr17937hhReeeOIJj5IaldFoXLdu3bBhw1rqRa/Xr1y5csaMGf5MvdN0s8MBAAAAAAAAAHQtjCgDAAAAwSsBNwAAIABJREFUBJROp+vZs+fAgQPT0tLGjRvXt2/flkpkVHFxcS+//PK5c+f27dtXUlJSWloqhEhJSRkxYkRWVlZmZmZERERAcvePbnY4AAAAAAAAAIAuRJJlOdg5AAAAAEC3tXDhwiNHjixatGjBggXBziV01dfXWyyWqKiomJiYYOeCADGbzY2NjUqs0Wh69OgR3HwQMDabzWQySZKUmJgY7FwQIHa7vba2Vl2Mj4/X6fjxXrioqqoSQsTFxYVbJbTscDpv3Ah2Fn6jidRoIoQQ4rrT4JRbqfIf2KtHY0ODEv9/S3/5q+UrOjs9hIi6ujq73a7X641GYxDTkLVC01z/ERo/z7AQqW3Pl2u2aqtsaWY65mAx9kkUrf10x4u6ujqr1arEOp0uPj7eT3kh1Fkslvr6eq1Wm5CQEOxcECBWq7Wurk5d7NGjh0bDxDVhweVyVVdXi9C46Gaz+bbbbhNCbNmyZdCgQR3cGzelAAAAAAAAAAD4jaTT6pK6YTmgL4fk/pW73hCRkBjMmgkEkjbCYbNpDQZDdDQXvUWGxOhgpwAAAISgUAYAACD0WSyW3NxcJV6yZEl2dnZbG/jYBm1y7ty5ZcuWKfHrr7/eu3fv4OYDAAAAAAAAAABaRaEMAADozg4cOPC73/1OiRcuXPhv//Zv3tvbbLYHHnhAXZwzZ86DDz7ofRNZlh944AG73S6EkCSpoKBAq9V2LOtmOJ1OJXC5mh+ht9UGPrZBm6intOPzmebm5losljZt8tZbb8XGxnawXwAAAKAbq//yaH3RV80+pDVGJo1v25/HHXGJjb1u8qVlgyNif7n/bwybZ4kuLQuhuQ8cru9vjiqt14qvH+ngDp1/PuMo7T7zWHVjNpvN6XTqdLpwm2otpPS6NaP/7CnBzgIAgC6AQhkAANCdDR8+XC1lOHjwYKuFMt99953aXgixf//+VgtlKioq1PqG0aNHd0aVDMKB0+l0f+4BAAAA6LjGE2eqC95v9qGoPvGJCW2rL3EOzjAn6X1pecMat/dKgH6f0FtKff+wIzB9+cK9UOaGvfpc7ekO7lCz6/PaPR3dCRAuJIlCGQAAfEGhDAAA6M6Sk5N1Op3D4RBCFBcXO51O74Usx44dc18sLy9vaGgwGr3Nrn3q1Ck1njx5csfyBUKCyWSaP3++Ej/11FM8sQEAAAAAAAAA3QaFMgAAoDuTJGnixIkHDx5UFq9evdqvXz8v7dWWqm+//XbkyJFeNiksLFTj0aNHtzdT4Hs7duwI+tBEfpxVCgAAAAAAAACA0EGhDAAA6ObcC2VOnjzppVDGZrOdP39eiX/4wx/u3btXCPH11197KZSRZfnQoUPqYt++ff2TdCfQ6/U7d+4MdhbwiSRJwU4BAAAAAAAAAIDuqW2TsAIAAHQ5I0aMUOMvvvjCS8vS0lIlSElJmT17thLv37/fyyaVlZXKvE5CiNGjRwd9FBAAAAAAALq0y+evzBs+//ThM8FOBAAAAN0WhTIAAKCbS05O1un+OYreV1995XK5Wmp5/PhxJZg6dao6NkxZWVljY2NLm5w58/1f7iZPnuyHdAEAAAAACGOyLDsdTuaABQAAQOdh6iUAANDNSZKkzr4ky3JZWVlLEyR9/vnnSpCZmanT6dLS0k6fPi2EuHjxYnp6erObFBYWqvGYMWOaNpBl+dKlS8eOHTt58uQ333xTXV2t0+lSU1OHDh06bty4MWPGREZGdvAA/a6iouLIkSNff/31d999V1VVpdFokpOTBw0aNGrUqMzMzJSUFH911HknR5blkpKS/fv3Hzt27Pr16waDYfjw4ePHj582bZrRaPRxJ06n88iRI4cOHSouLq6pqYmPjx8+fPjkyZMnTpwYglctHHT8snbF1yMAAAAAAAAAwL8olAEAAN2fWigjhDhx4kSzhTJ2u10pixFCDBo0SAgxefJkZc3XX3/dbKGMLMuHDh1SF/v06eP+qNls/uSTT7Zu3WoymdzX22y2s2fPnj179sMPP5QkadGiRdOnT5ckqUNH6AOLxZKbm6vES5Ysyc7Obtqmrq7uv//7vw8fPuyxvrS0tLS09NNPPxVCpKen//SnPx06dGhHkvHjybl27VpeXp4Sr1q1avTo0eXl5StWrCgvL3ffbWFhYWFh4euvv7506dJbb7211QzPnDmzatWquro6dU1VVVVVVdXBgwejoqKWL18+duzYth1zJztw4MDvfvc7Jc7Pz/deOHL8+PEVK1Yo8YYNG5KTk9WHFi1aVFZWJrv9ePOll17SaJoZh7KgoEAdq8lfvav8fllD7fUIAAAAAAAAAAgWpl4CAADd34gRI9TYvbTF3eXLl5UgISEhJiZGCDFq1ChlzYEDB5rd5Pr161arVYkzMjK0Wq37o8uWLdu4caPHt/IeZFleu3btc88952VCKD9y/kuz3dXW1v77v/970yoZD6dOnVq6dKmX6ah84ceTI8uyelxCiPPnzy9cuNC9nMKj8SuvvLJr1y7v6e3Zs+epp55yr5JxZ7VaV65cqZQNhQ6P89AqtbH8fwc0b/oMcd+zu87ovaUddvyyhuDrEQAAAAAAAAAQFIwoAwAAur/k5GStVqt8437kyBGXy9V0hIySkhIlmDp1qhL0799fCS5fvmyxWPR6vccmZ86cUeOsrKxmux4wYMC9996bnp6emJhoMBiEEE6ns6amprCw8K233rJYLEKIo0eP5ufnP/TQQx08zA567rnnGhoalDgrKysnJ6dv375Go1GSJJfLVV9frwwqs3v3bn/16PeTU1JSUlBQIMtyWlraww8/PGjQIIPBIMtyVVVVQUGBmvm6deuysrLi4+Nb2smrr76qLv7whz+cO3dur169NBqNxWI5f/78hg0bvvvuu//6r/+aM2dOR08BfOCXy6roQq9HAAAAAAAAAEAnoVAGAAB0f5IkTZo0SZl9SZbl8vJyj2mShBCff/65EqhT6kRGRg4cOPDixYtCiIsXL6alpXlsUlRUpMajR4/2eHTcuHHLly9PTU31WK/T6ZKTk++555477rhjxYoVp06dEkIUFBTMnDkzISGhA0fZIVeuXDl//rwS/+QnP5k3b577o1qtNi4uLi4ubtSoUQsWLNi5c2cHu+ukk7Np0yYhxMMPPzxnzhx19hxJklJSUhYvXty/f/8333xTWblt27bHHnus6R6cTufq1avVxV//+tcTJkxQFw0Gw+jRo3//+9+/+uqrf//737dt29a2w+4K1q9fL4S4cePGww8/rKx56qmnpk2bFsSUOn5ZRVd7PQIAAAAAAAAAOg9TLwEAgLAwceJENT558qTHow6H48SJE0o8ZMgQdf2UKVOUoLi42GMTWZbV2hohRNPKmwULFjT9Vt5dVFTUs88+GxUVpSx+/PHHrR5F5zl37pwaex8oxWAwPPDAA8poHO3WeScnOzt77ty5ajmFu5kzZyYnJyvx7t27m530Z8+ePWazWU3SvUpGpdFofvaznw0aNMjHlNohJyfnx149/vjjnde7EMJ9yKWmwy8FXgcvq+hqr0cAAAAAAAAAQOdhRBkAABAW0tPT1fjQoUN33HGH+6NXrlxRgptuuikuLk5dn5GRkZ+fL4Q4cODAAw884L5JdXW1MlGL0kyr1bYjK6PRmJOTowyY8fHHH+fm5rZjJ35x/fp1JdDr9REREcFKw137Tk5LA4oIISRJysnJUUZMsVgs1dXViYmJHm3effddJTAYDPfee6+XXS1evHjp0qW+pNQOLpfLewNlHrHw0cHL6qP2PeWuXr36zDPPeG+jvFdYLJba2tr25RYOlGe13W7nLIUP97cyWZa59OFDLWrkoocPj0rW+vr6Zutf0Y2ZzeZgXXSr1driYy3UWHvh++dwl9zKR3o/cji6+d1Bq/dHAFRWqzWQH7Hc3xWdTief7sKH8s7scrm46OHD479jk8nER/pwU1dXF+wURENDgxL45fMhhTIAACAspKSkaLVa5Qb+8OHDsiy7f5QvKSlRAnUIGcWAAQOU4NKlS1arVR1tQghx9uxZNZ48eXK7E8vMzFS+mK+pqbFYLHq9vt276oiYmBglsFgsZrM5Ojo6KGl4aOvJyczMVA+kWe71Uk0rKq5fv64WDM2ePdt78dOQIUNiY2NNJpP3lNBxHbysbe2rra9Hi8XSdMQpD4MHDxZCuFwuu93e7tzChMvl4ouQ8CTLMi+QcMNFD2cOhyPYKSDQgnjRvZS2tDQYoVc+b9KOfbeXLLuE6M7fVLXnQgHhKog3nny6C0Nc9HDGR/owFAqvd//mQKEMAAAIC5IkTZo06eDBg0IIl8t17dq1Xr16qY+qkyjdcsst7lsZDIZevXqVl5cLIb777rthw4apDxUVFanxqFGj2p2Y+wA2tbW1wSqUGTp0qBr/9re/Xb58udFoDEom7tp6csaPH+/7Dm/cuOHx6MWLF9XY45nQlCRJP/jBD3bu3Om9Wfvs2LGjfWMUdUsdvKxtEiKvRwAAAAAAAABA56FQBgAAhIuJEycqhTJCiJMnT6qFMk6n8/jx40rsXgqjmDp16tatW4UQxcXF6qOyLKu1NUKIPn36tNSpLMulpaUlJSUnTpy4cuVKeXm5x9Df7mMnmEymnj17tu/oOmjgwIF9+/ZVpqAqLi6eN2/e1KlT77rrrsGDB3dexYzfT4578VOzIiMj1dhms3k8evXqVTVOSUnxvivxr2FCOgMjl7rr4GV111VejwAAAAAAAACAzkOhDAAACBfu87N8+eWX2dnZSqyWRxgMhvj4eI+tMjMzlUKZgwcP3nfffcrKGzduqNNhZmRktDT4R1FR0fr16ysqKnzM0Pt3/J1KkqTnnntuyZIljY2NyprPPvvss88+E0IkJiZOmDBh/Pjx6enpfpySqTNOjvvcWO1QVlamxr6UByUlJXWkO/iog5dV1Umvx+jo6Ntvv917G+WppdVq3Wt64MHhcLhcLo1Go9NxlxounE6nOh2GJEkRERHBzQcB43K5lGG6eVcMHx7D8kdERFAWHD6Uz1Q6nU6j0QQlAUvLIzW263no8yYBfI5LkiagUz0FHG8YgO8CfOOp3McpMR/pw4pyN8dFDyvqfZyCj/ThQ72bC4WL7t85v/gTJAAACBcpKSlarVb5Tq6wsFCWZeWDXUlJidIgKyur6Ue9QYMGKcGFCxdsNpvy54Zz586pDSZPntxsdxs2bPjggw/8fRCdKCUl5Y9//OPGjRv/9re/ua+/fv36rl27du3aJYS45ZZbHnnkkf79+3ewr9A8Oe6FEb78Hd9fBRwIgM57yvXs2fPll1/23mbhwoVCiKioqNjY2M7IoXuor6+3WCwRERExMTHBzgUBYjab1epMSZJ4gYQPm81mMpm46GHFbrfX1taqi9HR0ZRFho+qqiohRHR0dLC+SLN6+dDe9j/0+z5BqkbSCOFqvZ0/6HRaIfz5nUGoCVaVFdAVRUZGBvIjVl1dnTpQq1ar5dNd+LBYLPX19RqNhosePqxWa11dnboYExPDf9BhwuVyVVdXi9C46Oqncb9kwk0pAAAIF5IkTZo0SZl9yel0VlRUKPOqHDp0SGkwfvz4pltFR0cnJCTU1NQIIb777ruhQ4cKIYqKitQGo0aNarrVvn371G/lNRrNzJkzs7Ky+vTpo3wrIEmSWpFz9erVvLw8Px5mRxiNxieeeGLBggVff/31wYMHCwsLPSamOXz48OHDh3NycubPn9/u+vGQPTnuP7pyuVyt/hHc4+QgZIXsUw4AAAAAAAAAEHgUygAAgDAyYcIEpVBGCHHq1KmePXs6nc6vvvpKWTN8+PBmt5o2bdrOnTuFEMXFxUqhjLoTIUSfPn082judzvXr1ytxbGzsmjVrEhISWkpJnXUidBiNxsmTJ0+ePFmW5Rs3bly4cOHAgQOffvqpmur27dv79++vzl3VJqF8cpTCKUVDQ0NcXJz39tevX+/kjNpJllsZd71TT2xwe2+2u5B9ygEAAAAAAAAAAo8xkQAAQBhJT09X4y+//FIIUVZWpixGRkYmJiY2u9XYsWOV4PPPPxdC3Lhxo76+XlmTmZnZdNyRq1evms1mJX7yySe9fCsvhLh27VpbjyJgJElKSEgYN27cz3/+84KCggULFqgPbdiwQZ2Fuk1C+eT07dtXjSsqKlptf+HChc5Mp23cn4etVnsoA+B3m969C+WnHAAAAAAAAAAg8CiUAQAAYaRnz57qN/pffvmlLMsnTpxQFidMmNDSXEKDBw9WgvPnz9tstvPnz6sPZWVlNW1/+fJlNU5LS/Oe0pEjR3xOP5h0Ot3s2bOnT5+uLDY0NChTk7ZVKJ+cgQMHqvHRo0dbbf+Pf/yjE7NpI/c5od0nDG5WSUmJ73tudYSYTu2940L5KQcAAAAAAAAACDwKZQAAQBiRJGnChAlK7HA4KisrlXFlhBDq+qbi4uJuuukmJb506dLhw4fVh0aOHNm0vdVqVeOm4814tNy9e7fP6Qff5MmT1bjVeohmhfLJSUpKUocb2bFjh/eRUc6fP19bWxuQvHySlJSkxt9++62Xljabbd++fd73ptF8f5vgcDgC3Lt/hfJTDgAAAAAAAAAQeBTKAACA8DJp0iQ1LioqUgeQ8D7UxJQpU5Tg66+/PnDggBJLktSnT5+mjd2LBi5duuRltxs3bvSlCiF0uI8ioxYPtUmIn5wHHnhACRoaGj7++OOWmsmy/PrrrwcqKZ+kpKSoQyLt3LnTS8vNmze3Om2WXq9X48rKygD37l8h/pQDAAAAAAAAAAQYhTIAACC8pKenq/Fbb72lTCuj0Wh69uzpZatx48YpwZYtW9SRVDIzM5sdoGLAgAFq/NprrzX71bssy5s3b961a1fbj6BTbNmy5fjx497HUGlsbPzLX/6ixHq93r3+wHchfnKmT59uNBqVeP369V999VXTNkqVjPsMXKFAq9VOnTpViU+fPq0OleTh73//e0FBQat70+l00dHRSlxUVBTg3v0rxJ9yAAAAAAAAAIAAo1AGAACEl549e6rVLRaLRQluueUWdTyMZg0dOtRjEyFEVlZWs41jYmLUEWhKS0sXL15cXFysbtjQ0FBcXLx06dL8/HwhxNy5c9t/MP7zzTffPP300w888MCGDRuKi4urq6vtdrvykNPprKmp2bdv3+OPP15TU6OszMvL837GWhLiJ0en0y1fvlxdfPbZZ9etW1deXq4MgmKz2U6dOrV06VJlgp5Zs2YFOD3vHnroITVevXr1pk2bbty4oZSCWa3Wc+fOrVy58n/+53+0Wu19993X6t6ys7OV4PTp0++//35dXZ2yq8D07kch/pQDAAAA4KHf0NSCb95OHz882IkAAACg29IFOwEAAICAkiRpwoQJX3zxhftK9/mYmtWjR4+oqCir1eq+cuTIkS21X7JkSXFxcX19vRCirKzsmWeeabbZ4sWLMzIytm7d6mv2ncxms33wwQcffPCB92YzZsy4/fbb291LiJ+cjIyM//iP/1i3bp2yuGvXrmYHGlmyZMnAgQP/+te/BjY7b3r16pWbm7tp0yZlcdOmTWrs7re//a3NZmt1ZJfZs2e///77Svzmm2+++eabQgiNRqMWSBUUFOh0399N+Ld3/wrxpxwAAAAAAAAAIJAYUQYAAISdpmUx7vMxNUuSJI+tJEnq3bt3S+2NRuO6deuGDRvWUgO9Xr9y5coZM2b4kG8IiYmJeeqppxYtWtS+4WQUoX9y7rrrrhdffFGde8iDTqd7+umn77zzzgBn5Yt58+bl5eW19GhSUtLatWuHD/fpd5nJycm//OUvPS60y+Vy/kun9u5fof+UAwAAAAAAAAAEDCPKAACAsONRFuO95EU1fvz4Tz/9VF3MzMxUp3BqVlxc3Msvv3zu3Ll9+/aVlJSUlpYKIVJSUkaMGJGVlZWZmRkREdHeI/C/ZcuWVVZWXrp06eLFi99++21ZWVllZWVjY6PL5YqLi+vfv/+IESMyMzOHDRum0fih0jr0T87IkSPffvvtoqKiQ4cOffXVVzdu3IiPjx86dOjUqVMnTZqk1+uDm15LJEm6++67p02btn///qKiojNnzjQ0NCQlJY0cOfIHP/hBRkaG9yethylTprz77ruHDh0qKiq6ePFieXm5w+EIWO/+FfpPOQAAAAAAAABAYEiyLAc7BwAAAADothYuXHjkyJFFixYtWLAg2LmErvr6eovFEhUVFRMTE+xcECBms7mxsVGJNRpNjx49gpsPAsZms5lMJkmSEhMTg50LAsRut9fW1qqL8fHx7hM4onurqqoSQsTFxQWrLrnh2MmG46eafUhr0MaPimzT3pwxMZYknz6rWJzaw5UBKhOXbYZrlSE0cvzC29Ntln/+F79o2X8sWb64gzt07bjguFbf4bzQ6axWq8PhiIiIiIxs2ysLfpQ8fnjvH44NWHd1dXXqNOU6nS4+Pj5gXSO4LBZLfX29VqtNSEgIdi4IEKvVWldXpy726NHDLz+nROhzuVzV1dUiNC662Wy+7bbbhBBbtmwZNGhQB/fGTSkAAAAAAAAAoBsyjhlhHDPCX3vTCXGTby1vihD/1s9f3fpgcAD7as1ijWT7V9wjMjEtfmRH9/hoh/eAgDCZTDabzWAwtDSRMQAAQOig1AsAAAAAAAAAAAAAAABhgRFlAAAAALTOYrHk5uYq8ZIlS7Kzsz0aXLt2LS8vT4lXrVo1evTogOYHAAAAtIXp7GW72eK+RpJlY0yA5ktSaCIknc4pRWilKK3QaUXk9xNUObWSS5KablJVH2FqbP/PX2UhDGZ7uzf3qQv5+9hkt5TW13Rqdwgd5kaz3W6Pkm0G2dZ6a3RxkVoRpRFmu9nutEdIEVEafbAzAgCgbSiUAQAAALq53Nxci+Wf3wFs27at3bPJOp1OJXC5XE0flWVZbQAAAACEuM9++vK1z0rc10QYI8eOiwpkDsm3DjHWfh0xabzOcE3qlSb6fP9BvS55cKOoaLrJnwvHbDnS2O4eoyRp6OeX2725L+y2728KPq/89oWvdnVqdwCC4pbklITIa0rcN7L/UH16cPMBAKCtKJQBAAAAujmn00kJCwAAAAAAAAAAQoj2D9IIAAAAAAAAAAAAAAAAdCEUygAAAAAAAAAAAAAAACAsMPUSAAAAgNbp9fqdO3cGOwsAAAAA3VzNxSvbFiyf+T9P9xozPNi5AAAAoHtiRBkAAAAAAAAAABAaZNnlcAY7CQAAAHRnFMoAAAAAAAAAAAAAAAAgLDD1EgAAAIDOYrfbCwsLDx48eObMmZqamvj4+IyMjIkTJ44fP16r1QY4GVmWL126dOzYsZMnT37zzTfV1dU6nS41NXXo0KHjxo0bM2ZMZGRkgFMCAAAAAAAAAAQYhTIAAAAAWmexWHJzc5V4yZIl2dnZrW5y/PjxF154obGxUV1TVVW1d+/evXv3RkdHP/3006NGjWp2w127dm3YsEGJX3311X79+rXal9Pp/H//7/9ZrVYhRFpa2osvvuj+qNls/uSTT7Zu3WoymdzX22y2s2fPnj179sMPP5QkadGiRdOnT5ckqdXuAAAAAAAAAABdFFMvAQAAAPCJ819cLlerjQsLC59++mn3Khl3ZrP5V7/61UcffdTso7fddpva186dO33J7ejRow0NDcom9913n8ejy5Yt27hxo0eVjAdZlteuXfvcc8/5cnQAAAAAAAAAgC6KEWUAAAAA+NmRI0e2b98uhEhNTV24cOGwYcP0er3L5SovL9+2bduePXuUZm+88Ubv3r0zMzM9Njcajbfffvs//vEPIcTu3bsfe+wxvV7vvcf8/HwliIqKysjIaLbNgAED7r333vT09MTERIPBIIRwOp01NTWFhYVvvfWWxWIRQhw9ejQ/P/+hhx5q/8EDAAAAAAAAAEIYI8oAAAAA8DOlSmbatGlr1qzJyMgwGAySJGm12r59+z755JMrVqxQW7744ot2u73pHnJyctT4s88+895deXn5hQsX1A21Wq1Hg3Hjxr3++utr1qyZPn16v379jEajJEmSJOl0uuTk5Hvuuecvf/lLenq60rigoKCmpqbtBw0AAAAAAAAA6AIYUQYAAACA/6Wmpi5dulSjaaY0/5Zbbnn88cc3bNgghLBYLB999NGsWbM82gwYMKBv375XrlwRQmzatOmHP/yhJEkt9fXhhx+q8Z133tm0wYIFC7xnGxUV9eyzz86fP99qtQohPv7449zcXO+bKEwmkzpATkuUsWocDocSoFlOp1P5l7MUPhwOhxrLssylDx/qpeeihw/lTV5ls9nc3wEQDmw2m8fTIBSEwoSbLtklhJBdLiGEy+XSuP2u1eVyNfsr11BIGwCavhe5XC4+3YUP5SdP3MeFFY8P8Far1ctf6tCdyLKsBKFw0dX3HDWrjqBQBgAAAID/LV68uNkqGcVdd9319ttvNzQ0CCE2b978ox/9qOmN1oMPPvif//mfQojKyspvv/120KBBze7KZrO9//77SpyWlpaUlNS+hI1GY05OzqZNm0RbCmWqqqp+85vfeG8zePBgJc/6+vr25RY+HA4HZyk8ybLMpQ83XPRwpnwAQFhpbGwMdgrNaFq745c/uLeJy+kSQjidrgghXE6X+6dnp9PZbKFMB0uOAn+MALolp8PzvcjlcvHpLtxw0cOZ2WwOdgoItFC46Oq9pF8+0zL1EgAAAAA/0+v1I0aM8NJAq9WqkyvV19eXl5c3bTNhwgR1EiVlLqdmffnll+pP2ebNm9fOjIUQQmRmZipBTU0NP4oCAAAAAAAAgG6JQhkAAAAAfjZ16tRWh+IcO3asGl+4cKFpg4iIiB//+MdKvH///pZ+ff7OO+8oQVRUVEZGRnvS/Ze4uDg1rq2t7ciuAAAAAAAAAAChiamXAAAAAPjZ0KFDW23Ts2dPNb58+XKzbe6+++6tW7cq8b59++6++26PBqWlpVeuXFHinJwcdQT/OxZhAAAgAElEQVSaZsmyXFpaWlJScuLEiStXrpSXl1utVvcG7pOsm0wm9wwBAAAAAAAAAN0DhTIAAAAA/Cw5ObnVNgaDQY3LysqabZOUlDR69Ojjx48LITZt2nTXXXd5DFTz17/+VY2nT5/upbuioqL169dXVFS0mpjCZrP50mzgwIH79+/33ubnP/+5EMJgMCQmJvrYexgym80WiyUqKuqmm24Kdi4IkIaGhsbGRiXWaDQJCQnBzQcBY7PZ6urqJEnq0aNHsHNBgNjtdpPJpC7GxcXpdPxNMlxcv35dCBEbGxsRERHsXDw1TanVMRH9Tnkt6CJ0aqyK0EU4mtskIkInRLOP+CTwxwigW4qI8PyvXKfTuY/Siu7NYrGYzWatVhsfHx/sXBAgVqu1vr5eXUxISNBomLgmLLhcrpqaGhEaF12v1yuBXzLhphQAAACAn0VGRrbaxn30F4+RXdzNmzdPKZSpra09c+ZMWlqa+pDFYvnb3/6mxOnp6V7KUDZs2PDBBx/4knlbaTQao9HovY3ybYQkSXwt4QvOUtji0ocP9Vpz0cOHx7Xm/8QwxEX3ieR10YcHACBwmntX560+fPCRPgzxkT5sub/eg37R/ZsAhTIAAAAA/MyX4Vjc5znyUlgzatSomJiYuro6IcTWrVt//etfqw999tlnajxv3ryW9rBv3z61Skaj0cycOTMrK6tPnz7R0dE6nc79Hu/q1at5eXmtZg4AAAAAAAAA6LoolAEAAADgZ1VVVa22aWhoUOPevXu31EySpNzc3A0bNgghCgsLTSZTbGysEEKW5XfeeUdpExUVNWbMmGY3dzqd69evV+LY2Ng1a9Z4md7F6XS2mjYAAAAAAAAAoEtj8jAAAAAAfnb+/PlW21RWVqpxamqql5bZ2dlqvHfvXiW4cOGCWo6Tk5PjPpGTu6tXr5rNZiV+8sknvVTJCCGuXbvWatoAAAAAAAAAgC6NQhkAAAAAfnbgwAFZlr23OXr0qBrffPPNXloajcbbb79dibds2aLM2bRt2za1wfTp01va9vLly2qclpbmPaUjR454bwAAAAAAAAAA6OoolAEAAADgZ42NjWfOnPHSwOl0bt++XYmjo6P79OnjfYc5OTlKYDabT5w4YTabP/vsM2XNyJEjExMTW9rQarWqcUujzqgtd+/e7T0NAAAAAAAAAEBXR6EMAAAAAP9bu3atMvRLs/bs2VNfX6/E9913nyRJ3vc2YMAAtZjm3Xff/cc//qE+9MADD3jZMCkpSY0vXbrkpeXGjRsdDof3NAAAAAAAAAAAXR2FMgAAAAD877vvvluzZk2ztTLFxcVr165V4qioqJkzZ/qywwcffFAJjh8//oc//EGJ9Xr96NGjvWw1YMAANX7ttdeaLYWRZXnz5s27du3yJQ0AAAAAnSrh5tTH9+f3GjM82IkAAACg26JQBgAAAICf3XvvvUKIvXv3/uIXvzhx4oTNZhNCuFyuioqKDRs2PPPMM2rLZcuWRUZG+rLPiRMnqnMnOZ1OJcjJyfE+oVJMTMyUKVOUuLS0dPHixcXFxRaLRVnT0NBQXFy8dOnS/Px8IcTcuXPbdJgAAAAAAAAAgC5HF+wEAAAAAAROTk5Oq/McKR588ME5c+a0r5dJkyalp6e/9NJLFy5cWL58eUvNHnvssfHjx/u4z4iIiB//+Mdbt251Xzl9+vRWN1yyZElxcbEy01NZWZl7mY67xYsXZ2RkeOwfAAAAAAAAANDNMKIMAAAAEEZcLpfTN7Isd6SjqVOnrly5sqXRYgwGw/PPPz9r1qw27fPuu+92Xxw5cmSPHj1a3cpoNK5bt27YsGEtNdDr9StXrpwxY0abkgEAAAAAAAAAdEWMKAMAAACgU4wdOzY/P//LL788ePDg6dOnb9y4ERsbm5mZOXHixEmTJnmfMqlZSUlJaWlpp0+fVhbnzZvn44ZxcXEvv/zyuXPn9u3bV1JSUlpaKoRISUkZMWJEVlZWZmZmREREW5MBAABAl3bTgJ7W6yb3NdqoiKgBPs0K6i/auASNvr9kjBc3aYQ+TkR837tWGHSahKab9DBG3JzY/p+/Rkpyn9S4dm/uC/cBLKN1Ub2NsZ3aHUKHy+WSZVmSJI2GX2h3f3GR+tiIOOWiR2migp0OAABtRqEMAAAA0M1t2bKl4zvR6/U7d+700qBXr15NG0RFRd1666233nprxxMQQsiyfPXqVTWfUaNG+b6tJEnDhg3zMq6MaOEQAAAA0C3d+pdfBTsFb2KEiGlu/b9PFv8+OdDJtMmrf9TYHf+Mp6UMWjluZlDTQeCYTCabzWYwGKKjo4OdCwKkrq7OarUGOwsAANqDwl4AAAAAXcOZM2dMpn/+6nfOnDntGJMGAAAAAAAAABDmGFEGAAAAgKioqPjqq69Onjz5zTffVFRUuFyuuLi4fv36DRw4cMSIEcOHD4+L69wR2t1du3YtLy9PiVetWjV69Gglfv/999U2d955Z8DyAQAAAAAAAAB0GxTKAAAAAGHtwoULr7322vnz5z3WV1ZWVlZWHj16dPv27UKI/v37/+hHP5o6darRaOzslGRZdjqdHitra2sPHDigxBkZGT169OjsNAAAAAB0xPZj5Wc2fhnsLOBPs8eJpMQqIURqtCHZcF1Z2aPorGSznPwgYcjTDwc1OwAAAF9RKAMAAACEKVmW33333U2bNvnS+NKlS6+99lp+fv5bb73V2Yk165133lHj/5+9e4+Lqs4fP/45MwMMgzASiPdgvQUqEt5a1GrLpNVqVdTSNstsU8us/a6tW1mpWWu1a7VZumLRmqGZlzJtyU03Kn1sIZrk/YYKilxFuQzMDDPn98fZzs6PyzDCMAPM6/mHj/eZ8zmf857zGfDM8J7PZ8aMGV7JAQAAAIDrSqtqzhRVejsLuNMVs9bfckUIYdGLGvvl/z5afkmYTVV5tb/tAAAA0GpRKAMAAAD4qB07djhWycTGxk6aNKl3794dOnTQaDR2u72srCwnJyc9PX337t1ezNNkMqWlpaWlpSmbAwYM6N27txfzAQAAAAAAAAC0XRTKAAAAAL6ooKBgzZo16ubixYsHDx7s2ECr1YaGhoaGhsbFxc2ePXv79u2pqakeT1MsXLjQcVOj0Tz99NOeTwMAAAAAAAAA0D5ovJ0AAAAAAC/YtGmTGj/xxBO1qmRq0ev1U6ZMWb9+/W233dbyqTVIkqSlS5eGhYV5MQcAAAAAAAAAQJtGoQwAAADgc2RZ3rVrlxJrNJrRo0e7cpTBYJgxY0YLptUAjUYTGRk5bdq0Dz/8MDY21vMJAAAAAPCM6sLzPy68s+LcYW8nAgAAgPaMpZcAAAAAn1NWVma325U4JiZGq9V6Nx8nXnnlFYpjAAAAAF8hy7KtRsiyt/MAAABAe0ahDAAAAOBzqqqq1DgkJMSNPcuynJOT89NPPx09evTMmTOXL1/W6XQ9evTo27fvkCFDBg0a5O/v37SerVZrRkbG3r17T5w4UVpa2rFjx7i4uJtuumnYsGEuFvq0XG4AAAAAAAAAgLaCQhkAAADA5+h0/3sjcO7cObf0WVlZ+dVXX23evLmsrMzxcYvFcvLkyZMnT37xxReSJD3++OOJiYmSJF1T54cOHXr55Zcd63uKi4t37969e/fuoKCghQsXDhw40Fu5AQAAAAAAAADaEI23EwAAAADgaUajUY0vXbpUVFTU/D4XLFiQkpJSqxKlFlmW33333SVLlqgLP7kiIyNj4cKFjlUyjiorK5977rl//vOfXskNAAAAAAAAANC2MKMMAAAA4HP8/Pyio6OPHz+ubC5dunTZsmVBQUHN7zkyMvKee+6JiYkJCwsLDAwUQthsttLS0oyMjLVr11ZXVwshDhw4kJqaOn36dFc63L9//9atW4UQPXr0mD17dr9+/fR6vd1uz8/P37Jly65du5Rmf//737t27RofH+/J3AAAAAAAAAAAbQ4zygAAAAC+6P7771fjc+fOPfDAA+vWrbt48aIsy03rcMiQIStXrlyxYkViYmLPnj0NBoMkSZIk6XS6Tp063XXXXevWrYuJiVEab9q0qbS01JVulSqZm2++ecWKFXFxcYGBgZIkabXa7t27P/nkky+++KLactmyZVar1ZO5AQAAAAAAAADaHGaUAQAAAHzRjTfemJCQ8J///EfZtNlsmzZt2rRpk1arHTJkSGxsbL9+/Xr06BEcHOxihzNnznTeICAgYNGiRQ899JDZbBZCfPnll9OmTXOl5x49esyfP1+jqafKf+jQobNmzUpOThZCVFdX//Of/xw/frwnc7Pb7Q1V59Qiy3KTi5B8gXJxuEq+jKH3HepYM+i+o9ZY89veBzHogO/g592XMfS+g1t6H8Qtvc9y/Hn3+qC7NwEKZQAAAAAftWDBguTk5LS0NMcHbTZbRkZGRkaGshkeHp6YmHj77bdHREQ0/4wGgyEpKWnDhg3iWopR5s6dW2+VjGLs2LEfffSRyWQSQmzcuPE3v/mNJEkey+3cuXP33nuv8za9e/cWQlRVVZWUlDQhMZ9isVi4Sr7Jbrcz9L5GlmUG3WddvXrV2ynA08rKyrydAgD3UL8nUFPzvy8MyLIsCWG324UQ1dXVyrK28DU1NTXc3fkam83GoPssJmP2Qa1h0JVPgMXPdx3NxNJLAAAAgI/SarWPPfbY22+/HR8f31Cb4uLi9evX/+53v3vppZfc8hcO9VylpaWufH6q1+v79+/vpIFWq01KSlLiioqK/Px8j+UGAAAAAAAAAGhzKJQBAAAAfFpUVNSSJUvWrVv39NNPDx8+XKvV1tssMzPzwQcfPHr0aDNPZzQa1diVL5SPGjWq0RliBg8erMbZ2dkeyw0AAAAAAAAA0Oaw9BIAAAAAYTQab7nllltuuUWW5fLy8ry8vCNHjuzatevixYtqG7vd/swzz6xZs6Zz584N9SPLcm5u7uHDh48cOXLx4sX8/Hyz2ezYwHFizLKyMiddKfr27dto8o6dXLhwwWO5AQAAAAAAAADaHAplAAAAAPyPJEkhISEhISHR0dGTJk3Kz8//+9//fuDAAbXBsmXL3nrrrXqP3bdv3+rVqwsLC108l8ViabRNp06dGm0TGBioxpcuXfJYbkKI8PDwZ555xnmb7du3CyH8/f07dOjg4tl9kNlstlqtOp1Or9d7Oxd4iDLoSixJUlBQkHfzgcfU1NRUV1cz6D7FZrNVVVWpmwaDQaNhlmtfUVFRIYQIDAxsaNpCAG2L+rPs+EOtTAKq/G739/f39/f3Sm7wvOrq6pqaGiXWaDQGg8G7+cBjrFar2Wxm0H2K8j5O3QwKCmp0Bmi0D7IsV1ZWitYx6GoCbsmEQhkAAAAADerSpcvixYvXrl27ZcsW5ZHs7Oy8vLxu3brVapmcnLxjxw63J+DKZ6yOH9HWmiRG0UK5CSFCQkImT57svM1XX30lhKAExLmamhqr1arVarlKvsNmszkWyjD0vsNisSgfsDLovsNqtToWyvj7++t0fCbpK5RCGX9/fz8/P2/nAsAN1EpHSaq/5JFbep9itVodC2UYep9iNpt5H+dTzGazY6FMQEAAte8+wm63K4UyrWHQbTabElAoAwAAAMATpk+f/u9//7u0tFTZPHr0aK1CmfT0dLUSRaPR3H333QkJCd26dQsKCtLpdJIkqe9e8vLy5syZ4/qpXZnZxXHJpLqFNS2XGwAAAAAAAACgzaFQBgAAAEAjNBrNuHHjUlNTlc2zZ8867rXZbKtXr1bikJCQFStWhIaGNtSVWvjvouLi4kbbmEwmNe7atavHcgMAAAAAAAAAtDnMiQQAAACgcT169FBjx9UThBB5eXnKDJxCiCeffNJJJYoQoqCg4JrOe/r06UbbFBUV1ZtnS+cGAAAAAAAAAGhzKJQBAAAA0LiKigo1NhqNjrsuXLigxtHR0c772b9//zWd97vvvpNl2XmbAwcOqPEvfvELj+UGAAAAAAAAAGhzKJQBAAAA0Lh9+/apcb9+/Rx3mc1mNdZqtU46MZvNO3fuvKbzVlVVnThxwkkDm822detWJQ4KCurWrZvHcgMAAAAAAAAAtDkUygAAAAA+x2QyffbZZ1ar1cX2eXl5GRkZ6matqVnCw8PVOCcnx0k/KSkpNTU115KpEEK8++67dru9ob27du1SZ7uZMmWKJEmezA0AAAAAAAAA0LZQKAMAAAD4opSUlGnTpm3ZssVkMjlvmZ+fv2DBAnUzISEhNDTUsUFkZKQav/POO/WWm8iyvHHjxrS0tCakev78+RUrVtRbK5OVlfXuu+8qcUBAwN13312rQUvnBgAAAAAAAABoWyiUAQAAAHyUxWJZu3bt1KlTX3755T179ly8eLG6ulrZJcuyyWQ6fvz4W2+9NWvWrLKyMuXx4ODgp556qlY/wcHBI0eOVOLc3Ny5c+dmZWWpXZlMpqysrPnz56empgohJk+efE1J3nPPPUKI3bt3/+EPfzhy5IjFYhFC2O32wsLC5OTkF154QW25YMECf39/T+YGAAAAwL30naMGv7q7wy9ivZ0IAAAA2jOdtxMAAAAA4GUZGRmOKys1JDQ09K9//avBYKi7a968eVlZWcoSSJcuXXKsX3E0d+7cuLi4zZs3u57bL3/5y5iYmNdffz07O/vZZ59tqNkjjzwybNiwene1XG4AAAAAAAAAgDaHGWUAAAAAn2MwGFJSUmbOnNm9e3dX2gcGBj766KPvvfdep06dGupw1apV/fr1a6gHvV6/ePHiO++8swnZjho1avHixXVni1FzW7p06fjx4xs6vEVzAwAAAAAAAAC0LcwoAwAAAPii8PDwCRMmTJgwoby8/NSpUydOnDh37tyFCxcKCgqsVqter+/atWuPHj369OkTFxd3/fXXa7Va5x0ajca//OUvp06dSk9PP3z4cG5urhAiIiKif//+CQkJ8fHxfn5+Tc528ODBqampP/zww969e48fP37lypWQkJD4+Pibbrrpl7/8pXdzAwAAAAAAAAC0IRTKAAAAAD4tODh48ODBgwcPbn5XkiT169fPydwtQoguXbp8/vnnzvupt01AQMAtt9xyyy23eDc3AAAAAC4aPzBi3kP1L5CKNio0yKb3HyiE0ElCr7MrD2pH3ClkEd3L7NXUAAAArgGFMgAAAAAAAAAAwM3Cg/z7dwn2dhZoeR07CSGCtGUWi8XbqQAAALhE4+0EAAAAAAAAAAAAAAAAAE9gRhkAAAAAAAAAQNtWeaEoe/2/vZ2Fz+kcadDaa5T4xLC+5XqNXZbVvWdOlHzx6REvpdb2aP21BeGB3s6i6aqrq202m5+fn7+/fxMO79VJju95xe1Z+Sx9Ubm2sqKlz+JnNks1//0NoNFo5KL/vYClbkNEUERLJwAAQJNRKAMAAAA0KCsra/HixUr8wAMPTJo0ycUDt2zZ8tFHHynxCy+8MHjw4JZIDwAAAICi8nxB5jPJ3s7C54ycFlNz4YISfxs182xNRY1sV/ceO1TwieWAl1Jre8I6B3/TK8TbWXjN+EGGPl2yvJ1F+6ErrNCcbfEyNX8hHKuiZMd9wd0lCmUAAK0YhTIAAACAMzabTQlkWXbe0pEsy+qBAAAAAAAAAACgldB4OwEAAAAAAAAAAAAAAADAEyiUAQAAAAAAAAAAAAAAgE+gUAYAAAAAAAAAAHjf1fKLH21/uLDkpLcTAQAAQHtGoQwAAAAAAAAAAPA+WQi73SaE7O1EAAAA0J5RKAMAAAAAAAAAAAAAAACfoPN2AgAAAAD+y2azHTp0aO/evUePHi0sLKypqenfv/8rr7zimVPv27cvIyPj4MGDV65cCQ0N7dev38iRI4cPH+7v7++BBJyQZTknJ+enn346evTomTNnLl++rNPpevTo0bdv3yFDhgwaNMjrGQIAAAAAAAAA2goKZQAAAAAvKCgomDNnjhK/9NJLsbGxJ0+efOmll8rKyhybWa1WNf7uu+/eeOMNJU5NTTUYDE76P3To0IsvvqjEycnJnTp1ct74z3/+c2VlpfpIUVFRUVHR3r17AwICnnvuufj4+FOnTi1YsEDZu3Llyq5du9bqpCXSq6ys/OqrrzZv3lzrslgslpMnT548efKLL76QJOnxxx9PTEyUJKluD2lpacnJyUr89ttv9+zZ00lWCpvN9tvf/tZsNgshoqOjly1b1ughAAAAAAAAAIC2gqWXAAAAAC+QZdn2MyFEZmbm008/XascxPkhjVIby7LspNn27dsXLlzoWCXjyGw2L1q0KD09vdEOWyK9BQsWpKSkNHpZ3n333SVLltjt9rp7b731VvVEn3/+uSuJHThwwGQyKYdMmTLFlUMAAAAAAAAAAG0FM8oAAAAAXrZ///5PP/1UCNGnT58ZM2b06dMnMDBQluXCwsK9e/e29KnXrFmjbo4dO3b8+PGdO3fWaDRms/nMmTPvv//+6dOn33jjjUmTJrVoJk5ERkbec889MTExYWFhgYGBQgibzVZaWpqRkbF27drq6mohxIEDB1JTU6dPn17rWIPBcNttt3399ddCiJ07dz7yyCN6vd756VJTU5UgICAgLi7O/c8HAAAAAAAAAOA9zCgDAAAAeNnWrVtlWZ4wYcLy5csHDRpkMBgkSdJoNF26dGnR8hSr1fraa6+pm0uXLn3ssce6deum1WolSdLr9QMGDFi+fPndd98thNiyZUvLZdKQIUOGrFy5csWKFYmJiT179lSujCRJOp2uU6dOd91117p162JiYpTGmzZtKi0trdtJUlKSGu/Zs8f5GfPz87Ozs9UDtVqtm54KAAAAAAAAAKBVYEYZAAAAwPvi4uIefvhhSZI8edKdO3cq07EIIebOnVvv7CmSJD366KNnz549cuSIJ3NTzJw503mDgICARYsWPfTQQ2azWQjx5ZdfTps2rVabyMjI7t27X7x4UQixYcOG0aNHO7nOX3zxhRqPGTOm0QwLCgreeOMN522UZa3MZnN5eXmjHfqsmpoa5V+uku9QBl0hyzJD7zvUlfIYdN9Ra3lEk8nk4XseeJ3JZNJoWvwbmyaTqaVPgbocf8BdXIMVDZHlehaT9R28ftzLbvfy9ayqqrJxs9d+KT+wdrudW3rfUeuWvqKiglt6HyHLshK0hkFXb/hrvSCbhkIZAAAAwPvmzJnj+XcamzZtUoIOHTrccccdDTWTJGn27NlPPvmkp/K6NgaDISkpacOGDaKBQhkhxAMPPKDMnVNUVHT27NlevXrV25XFYtm+fbsSR0dHh4eHN3r2ysrK3bt3O2/Tu3dvIYTNZlOqeeCEzWbj83HfJMsyPyC+hkH3ZRaLxdspwNOsVmu7OQtqcaztUP+Ogqbx8Qto9+06IbeT7V5+OVmtVis3e+0dt/S+jFt6H9QaBt29v3NYegkAAADwsoiIiO7du3v4pMXFxepCRRMnTnS+xlBUVFRYWJhH8mqK+Ph4JSgtLVXnyHE0fPhw9Qlu3bq1oX5++OEH9esIU6dOdXeaAAAAAAAAAADvo1AGAAAA8LKbb77Z8yc9d+6cGquFJk54JUkXGY1GNb569WrdBn5+fhMnTlTib7/9tqFp+devX68EAQEB9S5EBQAAAAAAAABo61h6CQAAAPCynj17ev6kFy9eVONOnTo12r6h5Yo8QJbl3Nzcw4cPHzly5OLFi/n5+bWm2XRclbasrKxz5851Oxk3btzmzZuVOD09fdy4cbUa5ObmqtckKSnJ+RQ7Kr1eHxsb67yNkq1Go9HpeP/VIJvNJsuyJEkuXnm0A3a73fGHlx8Q3yHLsrLIGoPuO9RBV2i1Wq+vbQ+PqampEZ4adO4ivEISkrq+iyRJwqfXDkKz8F+Dm3n7emq1WpmbvfZLfTfHLb3v4Jbelym39K3h5929OXj/+QAAAAA+LjQ01PMnLSgoUGODwdBoe28tvbRv377Vq1cXFha62L6h5XLDw8NjY2MPHTokhNiwYcPYsWNrvZ/ftm2bGicmJrp4um7dun3wwQfO28yePVsIodfrO3bs6GK3PqiioqK6utrf3z84ONjbucBDKisrq6qqlFij0fAD4jssFktZWZkkSQy677BarY5TvgUHB7eGz1jhGcXFxUKIDh06+Pn5tfS5LB06tPQpUJdGq1XrXrVarajxZjJtnUbj08VeOi3/NbiT12sHg4KCJG722q/q6uqKigqtVsstve8wm83l5eXqptFo1GhYuMYn2O32y5cvCyFCQkK8Pujqewq3ZMIrGAAAAHCJ49cm3NvYK38rciwoceWtRUBAQEumU7/k5OSlS5e6XiXj3NSpU5Xg6tWrJ06ccNxVXV39r3/9S4ljYmK8VRUEAAAAAAAAAGhplOgCAAAADXIsYamsrHT9QMfGHvj6bBM4ZmW32xv9tllDM7W0nPT09B07diixRqO5++67ExISunXrFhQUpNPpJElSp4TJy8ubM2dOox0OHDgwODhY+frL5s2bn3/+eXXXnj171FitpwEAAAAAAAAAtD8UygAAAAANMhqNanzp0iXXD8zLy1PjlpiHVpZl5w0andKmc+fOalxVVdVoNU9JSYmLuQl3pGez2VavXq3EISEhK1ascLJAlYvz90iSNG3atOTkZCFERkZGWVlZSEiIku369euVNgEBAYMGDXKlNwAAAAAAAABAW8TSSwAAAECDrrvuOjU+ffq06weeOnWq3k6aw3HSl0ZLQ4qLi5036N69uxoXFRU1evZz5845b+De9PLy8tRZeZ588kknVTJCiIKCAue9qW6//XY13r17txJkZ2er+SQlJXl9KXcAAAAAAAAAQMuhUAYAAABoUGBgoMFgUOKSkpKKigpXjiovLy8tLVVivV6v9tBMyvQn6imcNz58+LDzBpGRkWp88ODBRs/+7bffOm/g3vQuXLigxtHR0c4b79+/33kDlcFguO2225T4k08+sdvtQogtW7aoDRITE13sCgAAAAAAAHSt+VsAACAASURBVADQFlEoAwAAADRIkqRx48apm//5z39cOWrv3r1qPG7cOEmS3JJMeHi4Gp89e9ZJS4vFkp6e7ry3Tp06BQcHK/Gnn36qlIw0JDc3t9FZZ9ybntlsVmPnU7yYzeadO3c6781RUlKSElRWVh45cqSysnLPnj3KIwMGDAgLC3O9KwAAAAAAAABAm0OhDAAAAODM6NGj1fiDDz6wWCzO25vN5n/84x/1Ht5MERERas3N559/7qTlxo0bnRe+CCEkSZoyZYoSl5WVffPNNw21lGU5OTnZw+k5lt3k5OQ4aZmSklJTU9NoeqrIyMhu3bop8ccff/z111+ru+677z7X+wEAAAAAAAAAtEUUygAAAADOdO/eXS12qaioWLRokclkaqixyWR64YUX1Aa33XZbz5493ZWJVqsdNWqUEh8/fvyHH36ot9m///3vTZs2udLhuHHj/P39lfjNN988duxY3TayLH/44YdZWVkeTs9xZah33nmn3lIYWZY3btyYlpbWaG+1PPDAA0pw6NCh999/X4n1en1sbOy1dgUAAADAjToGd39w/IcRYTd4OxEAAAC0ZxTKAAAAAI2YPXt2aGioEh85cmTGjBmffvppfn6+1WpVHrRarQUFBZ9++umMGTOOHz+uPGg0GufMmePeTKZPn67Gr7zyyoYNG65cuSLLshDCbDafOnVq8eLFb731llarVWeLccLf33/+/Pnq5p/+9KeUlJTCwkJluheLxXLy5Mnnnntuy5YtQojx48d7Mr3g4OCRI0cqcW5u7ty5c7Oysqqrq5VHTCZTVlbW/PnzU1NThRCTJ09uNDdHN910k7qck81mU4KkpCTnazwBAAAAAAAAANoBnbcTAAAAAFo7vV7/9ttv/+lPf8rLyxNCVFdXf/DBBx988IGTQ7p27fraa68FBga6N5MuXbpMmzZtw4YNyuaGDRvU2NGrr75qsVhcmbglISHhwQcf/PDDD5XNzz777LPPPqvbbN68eZGRkdu2bVM21SWWWjS9efPmZWVlVVRUCCEuXbr0wgsv1Nts7ty5cXFxmzdvdt6bIz8/v4kTJ9Y6JDEx0fUeAAAAAAAAAABtFDPKAAAAAI0zGo0rV658/PHH1bWKGqLT6WbPnr1q1aqOHTu2RCZTp051MlFNeHj4u+++e8MN1zBR+eTJkxctWqTX6+vdq9Vqn3vuuTFjxijTzCh0ugYL7t2YnsFgWLVqVb9+/RpqoNfrFy9efOedd7rSWy3jxo1z3BwwYMB1113XhH4AAAAAAAAAAG0LM8oAAAAALtFoNL/+9a8TExPPnDmTmZmZnZ195swZZWmhjh079u7du3fv3kOGDOnTp49G04L16JIkjRs37uabb/7222/37dt34sQJk8kUHh4+YMCAX/3qV3FxcU1YP2jIkCHr16///vvvMzIysrKyrly50rFjx759+44cOTIhIUGpobl69araPigoyDPpGY3Gv/zlL6dOnUpPTz98+HBubq4QIiIion///gkJCfHx8X5+ftf6ZBXh4eHR0dHqOllTp05tWj8AAABoJQK7hsXMm+jtLHxOcLRRssQp8WBj16gAaa0k1fy8N6rPdWPuivZWbm2OX6Bf1y4Gb2fRdBaLxWaz6XS6pr1NG9BNDtINdHtWPksbelXSdG3psyiDrsQajSYgIEDdJRnCWvrsAAA0B4UyAAAAwDXQaDR9+/bt27dvM/vp0qXL559/3uTDg4OD77rrrrvuuquhBrGxsdfUv06nGzVq1KhRoxpqcOHCBTVudEkpN6YnSVK/fv2czCsjmnQxZVlWFtISQuj1+oED+UAWAACgbQvu1fWXf3vC21n4tC5CCCEekf73tYGBN3Z54NFh3soHHlZWVmaxWAIDA518s6Ix1zA3KhoR6YmTWMrLzWazEut0On3LTKwLAEBLYOklAAAAAI377rvvlCAqKkqSJO8m03wnTpwoKytT4kmTJjVhGh4AAAAAAAAAQFvEjDIAAACAM6dOnVqwYIESr1y5smvXFp+7uBUqLi7Ozs5W4jFjxng3GbfYvn27GrePZwQAAICWIFsstopKb2dxDbR6jdSkr8fKGkn209llqUZ2WzLm6pqrpVVu6655anQaoXFDxb8k2XX8XaU+5VaztcZaY9XYLHwPoQ3QSXaDRpYrzVaL7HfddZI7fjoAAGhDuKEDAABA002bNq26utrxkZSUlNDQUBcPX7hw4dGjRx0fef3115u/qpHbqUtuy7L7PjNuO2RZXrlypbo5bFibnzv96tWr6gQ5cXFx1113nXfzAQAAQKtVkfFj7sJl3s7iGvR7tr+mKr8JB1r63ljaK0CSOu251KzSFpuwqfFXO04WnNrcnN7cKPzWqHSLtfn93DnUr8Q/t/n9AN4V3zF0dsgR01u7zlfe0O/N13RBem9nBACAR7H0EgAAAJrOVsc333zj4rFXrlw5dOhQrcNbNFvUJcvy+++/X15e3lADm82WnJycmZmpbCYkJHTp0sVT2bWU9evXq/GMGTO8lwgAAAAAAAAAwNOYUQYAAADutHnz5vHjx0tS43P2pqent3w6aNy2bdu2bds2evTo0aNHR0ZGdujQQZIkm81WVlZ28ODB1NTUwsJCpaVWq50zZ453s20mk8mUlpaWlpambA4YMKB3797eTQkAAAAAAAAA4EkUygAAAMANNBqNLMuyLJeVlWVnZzdafCDL8ubN/52C29/f32KxtHyOcGb37t27d+920kCn073++uuur6vVqrz55ptff/11rQc1Gs3TTz/tlXwAAAAAAAAAAN7C0ksAAABwA4PBkJiYqMRffPFFo+3PnDlTVlYmhNBoNOPGjWvZ5NBs8fHxa9eu7dOnj7cTcRtJkpYuXRoWFubtRAAAAAD8z9Xyix9tf7iw5KS3EwEAAEB7xowyAAAAcI9x48bt3LlTCLFr1645c+b4+/s7aawW09x5552dO3f2RH6ojyRJGzduPHv27LFjx06fPn3hwoXLly+Xl5frdLrw8PDo6Ojo6OiEhIQ2OpFMXRqNpmfPniNGjBg3bpzRaPR2OgAAAAD+P7IQdrtNCNnbiQAAAKA9o1AGAAAA7hEVFRUaGlpaWiqEyMzMHDFiREMtzWazusrP2LFjjxw54qEUUZ/AwMD+/fv379/f24m0oP/7v//7v//7P29nAQAAAAAAAADwPgplAAAA4B6SJE2ePHnNmjVCiM2bNzsplMnMzFSC0NDQyMjIayqUkWU5Jyfnp59+Onr06JkzZy5fvqzT6Xr06NG3b98hQ4YMGjTI+Uw2ddlstv3793///fdZWVmlpaUdO3a84YYbRowYcdNNN11rV+7NzWaz7du3LyMj4+DBg1euXAkNDe3Xr9/IkSOHDx9+rYm5N7fCwsL9+/cfPHjw/PnzxcXFGo2mU6dOvXr1GjhwYHx8fEREhIv92O32EydOHDx48Pjx42fOnKmurg4ODu7Tp8+NN9540003hYeHe+wZ1WKz2Q4dOrR3796jR48WFhbW1NT079//lVdeaVpvAAAAAAAAAIBWhUIZAAAAuM0tt9yiFMqcPn26pKQkLCys3mabNm1SgilTpkiS5GLnlZWVX3311ebNm8vKyhwft1gsJ0+ePHny5BdffCFJ0uOPP56YmOhitydOnHjppZfKy8vVR4qLi4uLi/fu3RsQEPDss88OHjzYK7kdOnToz3/+c2VlpfpIUVFRUVGRkthzzz0XHx9/6tSpBQsWKHtXrlzZtWvXls6tvLz8zTffVOucVLm5ubm5ud98840QIiYm5ne/+13fvn2d9CPL8q5du957772qqirHx0tKSkpKSn744YfVq1cPHTp01qxZXbp0adFnVFBQMGfOHCV+6aWXYmNjT548+dJLL9Xq2Wq1OukEAAAAAAAAANCGaLydAAAAANoPo9E4YMAAJf7666/rbVNcXJydna3EN998s+udL1iwICUlpVYFQy2yLL/77rtLliyx2+2Ndrhr164//vGPjlUyjsxm8+LFi5XiDw/ntn379oULFzpWydRKbNGiRenp6UII289kWW7p3K5evfroo4/WrZKp5dixY/Pnz69VAeOosrJy/vz5K1ascNJGCJGZmTlr1qx6d7nxasuyrF5D5aRPP/20854BAAAAAAAAAG0aM8oAAADAnSZPnqwspbR169ZJkybVnc9j9+7dShAbG2s0Gq+1/8jIyHvuuScmJiYsLCwwMFAIYbPZSktLMzIy1q5dW11dLYQ4cOBAamrq9OnTnfRz+PDht99+W90cPXr05MmTu3TpotFoqqurT58+nZycfP78+eXLl0+aNMmTue3fv1+ZlUcxduzY8ePHd+7cWaPRmM3mM2fOvP/++6dPn37jjTdcT8wtuS1ZssRkMilxQkJCUlJS9+7dDQaDJEl2u72iokKZVGbnzp1O0qiqqpo3b15xcbGyqdfr77333lGjRoWFhel0OlmWy8vLc3JyvvrqK6USqEWfUS379+//9NNPhRB9+vSZMWNGnz59AgMDZVkuLCzcu3evKz0AAAAAAAAAAFo/CmUAAADgTnFxcVqt1mazVVRUnDp1ql+/fo577Xa7UosghLimOg8hxJAhQ5599tkePXrUelyn03Xq1Omuu+664447XnzxxWPHjgkhNm3adPfdd4eGhtbblc1me+WVV9TN559/fvjw4epmYGBgbGzs3/72t7fffvvf//73li1bPJab1Wp97bXX1M2lS5fGxcWpm3q9fsCAAcuXL1+zZs2OHTtcScxduV28ePH06dNKfP/990+dOtVxr1arNRqNRqNx4MCBM2fO/PzzzxtKZvny5WqVTFxc3LPPPmswGNS9kiQZjcbY2NjY2NhHHnlk/fr1LfeM6tq6dasQYsKECQ8//LBa4CVJUpcuXa71tQoAAAAAAAAAaLUolAEAAIA76XS6cePGbd++XQixY8eOP/zhD457T5w4ocxKotVqHUtAXDFz5kznDQICAhYtWvTQQw+ZzWYhxJdffjlt2rR6W+7atUtd2GjmzJmOVTIqjUbz1FNPnTt3Tl0oygO57dy5U5kKRQgxd+7cei+RJEmPPvro2bNnlZl7PJPbqVOn1Nh51UhgYOB9991X767Dhw9nZGQocZ8+fRYvXqzVahvqx2g0PvbYY/XucuMroZa4uDjHKhlXmEymRpejslqtQgibzWaxWFzv2dcoi2TZ7Xauku9QljxTyLLM0PuOmpoaJWDQfYfjz7sQwmq1urJKJtqTmpoaJ0uFtnLqb622osmXWrbbhRCyva2OVKPc9SJsuy9mwJH6SrbbZYvFYvfTNKETx//QuaX3Kcp/jgy6T6l1R2S1Wq/pAzS0Xer/F61h0NXfOW65H6NQBgAAAG7261//WimUSU9Pf/zxx/V6vbpLnWvkrrvuclIk0WQGgyEpKWnDhg3CaXnExx9/rASBgYH33HNPQ71JkjR37tz58+d7LLdNmzYpQYcOHe644w4nic2ePfvJJ590S2Ku5FZSUqIEer3ez8+vaWdJTU1V4wULFrTEC0Dl4iuhljlz5lzr+738/Pxa1WB19e7dWwhhNpvLysquqXMfZLValboi+BpZlvkB8TUMui9T65XhO9r0oJt/Xn60rbDb7U27z7bZ7UIIm93WaMs2qlbRntf7AbzLVvPfV7LNZisvL9famlvuYLPZuLvzNXa7nUH3WeXl5d5OAZ7WGgbd9POduVsKZZpSIgoAAAA40aNHj06dOinxvn371MdNJtPevXuV+M4772yhs8fHxytBaWmpOjuLo5KSErXsY8KECc7LNfr06RMSEuKZ3IqLi0tLS5V44sSJzhOLiooKCwtzV2KN5hYcHKwE1dXVTfs7R3l5uToFTnx8fJcuXZqaqasafSXUEhER0b179xZOCgAAAAAAAADgZRTKAAAAwM0kSZoyZYoSq1OkCCG+//57JYiIiOjRo0cLnd1oNKrx1atX6zY4d+6cGg8dOtR5b5Ik/epXv3JPZo3l5piYWuThxM033+ymvIRoLLe+ffuq8auvvmq69q/VOj67MWPGXHN+167RV0It7r2eAAAAAAAAAIDWiaWXAAAA4H4jR45cuXKlEOLcuXNFRUXKBDOffPKJsnfKlClNXtBUluXc3NzDhw8fOXLk4sWL+fn5ZrPZsYHjCtllZWWdO3eu1UNeXp4aR0RENHpGZd0cD+R28eJFNVan5HGiV69eLibW/NyioqK6d++uZJiVlTV16tRRo0aNHTu2d+/eBoPBlQRycnIce3M984Y0/5VQS8+ePZufFQAAAAAAAACglaNQBgAAAO4XHBw8ePDgAwcOCCF27949derUS5cuqRUqI0eObFq3+/btW716dWFhoYvtLZZ61ti+dOmSGrtS5BEeHu6Z3AoKCq4pMdeXXmp+bpIkLVmyZN68eVVVVcoje/bs2bNnj5LG8OHDhw0bFhMTExQU1FCfjvVJjnO9NI1bXgm1hIaGNiGTHj16bN261Xmbl156SQih1+ubdgofYTKZzGazv7+/k1cR2pmqqip1WTSNRtP83wxoK6xWa0VFhSRJHTt29HYu8JCamhrH9exDQkKcLzGJ9kRZWjQ4OFina6sfRFd06ND45IStiVbTxJ8vnVYrhNBqdUJY3ZpRa6HV6oTdDU+t7b6YAUfan1/JOp2uY8eOuiB9EzqprKxU325rtVo3Ll2NVs5sNptMJt7H+RSLxeK4GrvRaNRoWLjGJ9jtdmWu7tYw6P7+/krQ5G/hOuKWDgAAAC1i4sSJSqHMZ599du+99/7rX/9SHh86dGiHDh2a0GFycvKOHTuan5hjzYQrN/cBAQGNtnFLbi2RmHDfdYuIiPjggw9SUlLUoVSUlJSkpaWlpaUJIYYOHTpjxozrr7++7uGOz87Pz685mbjrGdXStM+7/f39632+jpS/BWo0Gv4o6ITy/laSJK6S76j1oQZD7ztsNpsSMOi+w3GaN8H/iT6pTQ+61/8ecM2a/FeD/96PuTGV1qUdPzWgCdSfCEkSWq22ab+lHW/peTfnU5T/HBl0n1Lrjkir1ba9eyQ0ifqrvjUMuvo7h0IZAAAAtF4DBw709/e3WCwmkykzM3P79u3K4xMnTmxCb+np6WpthEajufvuuxMSErp16xYUFKTT6SRJUm+O8/Ly5syZ46QrtfBcCGG32xt9S19rQZ+Wy82xfMSVxFyZJcWN100IYTAYnnjiiZkzZx48eHDv3r0ZGRm1Lk5mZmZmZmZSUtJDDz1U6+2K42W3Wq16fVO+rOb2ZwQAAAAAAAAA8DUUygAAAKBFaLXau+++W1mV5tVXX62pqRFCBAQE9O/f/1q7stlsq1evVuKQkJAVK1Y4WcJG/Z56Qzp37qzGJpOp0UliS0pKPJObY2JVVVWNTrviPDH35ubIYDCMGDFixIgRsixfuXIlOzv7u+++++abb9Qetm7dev31199+++2OR3Xr1k2Ny8rKgoODXTxdrSRb4hkBAAAAAAAAAHwHcyIBAACgpSQmJiqBUiUjhLjnnnuaMClrXl6eugjuk08+6aQ2QghRUFDgvLfu3burcWFhYaNnz87O9kxujokVFRU1mti5c+ecN3DvdatLkqTQ0NAhQ4b8/ve/37Rp08yZM9VdycnJtRZZcFyf6Pz589d6LkVLPyMAAAAAAAAAQLtHoQwAAABaSrdu3bp27er4yJgxY5rQz4ULF9Q4OjraeeP9+/c7bxAVFaXGBw4caPTsX3/9tWdyi4yMVOODBw82mti3337rvIF7r5tzOp1uwoQJammUyWS6fPmyYwPHy75r166mncWTzwgAAAAAAAAA0C5RKAMAAIAWNGXKFDXu3r17rboZF5nNZjV2PiGN2WzeuXOn897Cw8PVmUg+/fRT5wv0nD59+urVq57JrVOnTuqCRJ9++mmtGVlqyc3NbXTWGfdeN1eMGDFCjcvLyx13BQcHq6UtmZmZTZvuxfPPCAAAAAAAAADQzlAoAwAAgBZ0xx13fP6zVatWNa2T8PBwNc7JyXHSMiUlRV3myYn77rtPCUwm05dfftlQM1mWV65c6bHcJElS64rKysq++eYbJ4klJyc7T8y9ubnIcRaZDh061No7ffp0NV6+fLnzSqB6ef4ZAQAAAAAAAADaGQplAAAA0No5rkn0zjvv1FsAIcvyxo0b09LSXOkwMTHRYDAo8erVq3/88cd6O1y5cuXp06c9mdu4ceP8/f2V+M033zx27Fi9vX344YdZWVmN9ubG3D755JNDhw45n32nqqpq3bp1SqzX6x2LWhSxsbFDhw5V4uPHj7/88svV1dUN9VZZWfn+++/XetDtrwQAAAAArUrH4O4Pjv8wIuwGbycCAACA9oxCGQAAALR2wcHBI0eOVOLc3Ny5c+dmZWWpNRYmkykrK2v+/PmpqalCiMmTJzfaoU6ne/bZZ9XNRYsWrVq1Kj8/X5njxGKxHDt2bP78+craPePHj/dYbv7+/vPnz1c3//SnP6WkpBQWFqqJnTx58rnnntuyZUujibk3tzNnzixcuPC+++5LTk7Oysq6fPmy1WpVdtlsttLS0vT09FmzZpWWlioPzpkzR5Kkuv08/fTT6rpXmZmZDz/88Pbt24uLi5USHFmWKysrT5w48e67706bNm3btm0t94wAAAAAAAAAAL5J5+0EAAAAgMbNmzcvKyuroqJCCHHp0qUXXnih3mZz586Ni4vbvHlzox3GxcU99thj6mpQaWlp9c5BMm/evKioqLoVGy2XW0JCwoMPPvjhhx8qm5999tlnn31W70kjIyPVxOqtSnF7bhaLZceOHTt27HDe7M4777ztttvq3WUwGN55551nnnkmNzdXCFFZWblmzZo1a9Y479CR218JAAAAAAAAAACfwowyAAAAaAMMBsOqVav69evXUAO9Xr948eI777zT9T7Hjh27bNmyoKCgevfqdLqFCxeOGTPG87lNnjx50aJFer2+3r1arfa5554bM2aMMs2Mmq1ncnMuODj4j3/84+OPP95Q4Y7SZsWKFTNnzmwoZ0VcXNzKlSvrPu7hZwQAAAAAAAAAaGeYUQYAAABtg9Fo/Mtf/nLq1Kn09PTDhw8rU5JERET0798/ISEhPj7ez8/vWvscMGDARx99tG/fvu+///7HH3+8cuVKx44d+/btO2rUqF/+8pcNlap4ILchQ4asX7/++++/z8jIyMrKUhMbOXJkQkKCktjVq1fV9g2V+7grtwULFhQVFeXk5Jw7d+7s2bOXLl0qKiqqqqqy2+1Go/H666/v379/fHx8v379NJrGa/E1Gs2ECRPuueeerKysgwcPHj169Pz58xaL5brrruvdu3dcXNxNN90UERHRos8IAAAAcIWk1WqCDN7O4hpIUoDwC2zKkRo/SfIXstZP06zbaceSeZ2fJtDQWm7O/f11HSS5+f346bSButbypFoVWf7v5XXyxQm0Hv5ardAESPogyRLg7VwAAPACSb13AQAAANCGbNmyZe3atUq8bds2PotstWbPnr1///7HH3985syZ3s6l9aqoqKiurg4ICAgODvZ2LvCQysrKqqoqJdZoNNddd51384HHWCyWsrIySZLCwsK8nQs8xGq1Ohb4duzY0fnEcmhPiouLhRBGo5FSZt8RFBRkMpmU+Pnnn1+6dKl384HHlJWVWSyWwMBAJ1/kQDtTXl5uNpuVWKfTdezY0bv5wGOqq6srKiq0Wm1oaKi3c4GHmM3m8vJydfO6665z5ctyaAfsdvvly5dF6xj0ysrKW2+9VQjxySef9OrVq5m98QoGAAAA2qTvvvtOCaKioqiSAQAAAAAAAADAFXx7AwAAAG1AYWHhjz/+ePTo0TNnzhQWFior/vTs2TMqKqp///433HCD0Wj0do4eVVxcnJ2drcQ5OTkTJ04UQrz00kuxsbFezev/U11dPW3aNCWeN2/e7bff3rQ2AAAAAAAAAAC4C4UyAAAAaNWys7Pfeeed06dP13q8qKioqKjowIEDW7duFUJcf/31v/nNb0aNGmUwGLyRpkfJsrxy5Up10263ezEZ52w2mxI4SdKVNgAAAADqynt1hbWoxLs5dJgaJw3yV+Lj+zvWWP93V//lsaKSjQe9lBf+P6PiLT2DK+o+fmPRxQ7lhW45RWBNjV6WNRqNrNW6pcM24Yd/mK7mlDe0Vx9uvDV1oSfzAQAALqJQBgAAAK2ULMsff/zxhg0bXGmck5PzzjvvpKamrl27tqUTa1GyLKekpNx7773BwcH1NrDZbO+9915mZqayGR8f/+OPP3owQQAAAACthenwMUtunndz0I/vabfVKHFJsWS3y+qui2Vm+7nLXsoL/59eN9j8dfUUxFjLcuWi2t9LaRq1OkZ21qq9uXzQUrD/UkN7Dd3DPZkMAABwHYUyAAAAaKV27NjhWCUTGxs7adKk3r17d+jQQaPR2O32srKynJyc9PT03bt3ezFPt9u2bdu2bdtGjx49evToyMjIDh06SJJks9nKysoOHjyYmppaWPjfzze1Wu39999PoQwAAAAAAAAAAC6iUAYAAACtUUFBwZo1a9TNxYsXDx482LGBVqsNDQ0NDQ2Ni4ubPXv29u3bU1NTPZ5mC9q9e7fzAiCdTvf666936NDBYykBAAAAAAAAANDWabydAAAAAFCPTZs2qfETTzxRq0qmFr1eP2XKlPXr1992220tn1qrEB8fv3bt2j59+ng7EQAAAAAAAAAA2hJmlAEAAECrI8vyrl27lFij0YwePdqVowwGw4wZM1owLY+QJGnjxo1nz549duzY6dOnL1y4cPny5fLycp1OFx4eHh0dHR0dnZCQEBoa6u1MAQAAAMDNqgvPH/vbrL6PLu8QNdDbuQAAAKDdolAGAAAArU5ZWZndblfimJgYrVbr3Xw8LDAwsH///v379/d2IgAAAADgWbIs22qELHs7DwAAALRnFMoAAACg1amqqlLjkJAQt/dvs9mOp/siMAAAIABJREFUHDny448/Hj16NCcnp6amJiwsLDY29sYbbxw2bJi/v7/bz+gKu91+4sSJgwcPHj9+/MyZM9XV1cHBwX369Lnxxhtvuumm8PBw17uSZfnw4cPffvvtTz/9VFJSEhgYeMMNNwwbNuzmm282GAzXlFVru1buyqewsHD//v0HDx48f/58cXGxRqPp1KlTr169Bg4cGB8fHxER0aLPAgAAAAAAAADgLRTKAAAAoNXR6f53m3ru3Dk39izL8pdffpmSkmI2mx0fz8vLy8vL27lzp1arnTVr1q9//WtJkuoenpaWlpycrMRvv/12z549Gz2jzWb77W9/q5wuOjp62bJl9Wa1a9eu9957z7FCSAhRUlJSUlLyww8/rF69eujQobNmzerSpUujZ8zPz3/xxRfz8/PVRywWS0ZGRkZGxsqVK+fPn3/LLbc02olo9rVyO3flU15e/uabb2ZmZtZ6PDc3Nzc395tvvhFCxMTE/O53v+vbt6/bnwUAAAAAAAAAwLs03k4AAAAAqM1oNKrxpUuXioqK3NKtyWT64x//uGrVqlqVFo5sNtuqVauWLl1qs9nq7r311lttP/v8889dOemBAwdMJpNyyJQpU+o2qKysnD9//ooVK2pVydSSmZk5a9asRk93+vTp2bNnO1bJOJJl+a9//WtaWlqj/TT/WrmXu/K5evXqo48+WrdKppZjx47Nnz/f+YgAAAAAAAAAANoiZpQBAABAq+Pn5xcdHX38+HFlc+nSpcuWLQsKCmpOn2az+amnniooKFA2O3Xq9NBDDw0aNCgkJESSJLPZfPLkyTVr1pw/f14IkZmZuXz58gULFtTqxGAw3HbbbV9//bUQYufOnY888oher3d+3tTUVCUICAiIi4urtbeqqmrevHnFxcXKpl6vv/fee0eNGhUWFqbT6WRZLi8vz8nJ+eqrr9LT0xt9jocPH960aZMsy9HR0Q8++GCvXr0CAwNlWS4uLt60adPOnTuVZqtWrUpISOjYsWOLXis3cmM+S5YsMZlMSpyQkJCUlNS9e3eDwSBJkt1ur6ioUCaVUa8VAAAAAAAAAKCdYUYZAAAAtEb333+/Gp87d+6BBx5Yt27dxYsXZVluWodvv/22Wmkxbty45OTkW265pWPHjhqNRpIkvV4/aNCgv/3tb4mJiUqbPXv2HDp0qG4/SUlJarxnzx7nJ83Pz8/OzlYP1Gq1tRosX75crZKJi4v7xz/+MXny5C5duvj5+UmSpNFojEZjbGzsH/7wh3Xr1o0dO9b56TZs2FBTU/Pggw++9tprAwcOVOo/NBpNRETE3LlzH330UbXlli1bnPTjrmvlLu7K5+LFi6dPn1bi+++//9lnn73hhhs6dOig9KPVao1G48CBA+fOnbtx48bf/va3LfeMAAAAAAAAAADeQqEMAAAAWqMbb7wxISFB3bTZbJs2bXrssceSkpJefvnlbdu2HTt2rLy83MXeTp8+/d133ynx8OHDZ8+eXbdmRQih0Wjmzp0bFRWlbL711lt163IiIyO7d++uxBs2bHBeuPPFF1+o8ZgxY2rtPXz4cEZGhhL36dNn8eLFBoOhoa6MRuNjjz3m5FyK22+/ffLkyZIk1d119913d+rUSYl37tzZUOZuvFZu4cZ8Tp06pcaTJk1yctLAwMD77rsvMDCwOZkDAAAAAAAAAFohll4CAABAK7VgwYLk5OS0tDTHB202W0ZGhlpfEh4enpiYePvtt0dERDjpav369Wr81FNP1VtHopAkad68efPnzxdCFBUVXbhwoWfPnrXaPPDAA6+99prS4OzZs7169aq3K4vFsn37diWOjo4ODw+v1UBdlUl5svXWf1yrRx55pKFdkiQlJSWtXr1aCFFdXX358uWwsLC6zdx7rZrPjfmUlJQogV6v9/Pzc0t6586de/jhh5236dy5sxDCZDKpCaAupbDJbDZbLBZv5wIPcaxms9vt/ID4GlmWGXSfdfXqVW+nAE8rKyvzdgrtls1m83YKwmq1asV/79JrrDXeTQYNqampf2haw0uoTbPbnX1jxKfucmtqanznyUJ5N2ez2Rh0n1VaWurtFOBprWHQTSaTEtjt9ub3RqEMAAAAWimtVvvYY4+NHTv2gw8++PHHH+ttU1xcvH79+vXr1w8dOvT3v/99SEhI3TZVVVWZmZlKfOuttwYHBzs/b58+fQIDA6uqqoQQ//nPf+oWfwwfPlyr1SqfJ27duvXpp5+ut58ffvhBvWWfOnVqrb3l5eVHjhxR4vj4+C5dujjPyhXx8fHOn11MTIwa11so4/Zr1UzuzUc9vLq6urKyMigoqPkZ2u32Rmc2Uqu4WmjSnXaGq+SzGHofxKD7LIbeBzHogNfJgh/DFtHo7zef+gXoU08WCgbdZzH0Pqg1DLp7c2DpJQAAALRqUVFRS5YsWbdu3dNPP61UqNTbLDMz88EHHzx69GjdXefOnVPjm2++udEzSpIUGxurxMePH6/bwM/Pb+LEiUr87bffqpXstahToQQEBMTFxTnJqu6qTE0zbNgw5w2MRqMaX7lypW4Dt1+rZnJvPn379lXjV199taGBAwAAAAAAAAC0YxTKAAAAoA0wGo233HLL888/v3Xr1o8++uj1119/6KGHunfv7tjGbrc/88wzBQUFtY69cOGCGl9//fWunE6dieTEiRP1Nhg3bpwap6en122Qm5t78eJFJU5KSqpb35OTk6PGUVFRrmTVqEanpfH391fjehe4aYlr1RzuzScqKkp9zWRlZU2dOvX1118/dOgQFTMAAAAAAAAA4DtYegkAAABtiSRJISEhISEh0dHRkyZNys/P//vf/37gwAG1wbJly9566y3HQ3Jzc9X4ySef1Gg04ud5GmVZVgMhhN1uV1dZVtqXl5fLsixJUq00wsPDY2NjDx06JITYsGHD2LFja7XZtm2bGicmJtZ9Inl5eWrsONFLcwQEBDSzh5a4Vq0nH0mSlixZMm/ePGVtJiHEnj179uzZI4QICwsbPnz4sGHDYmJirmlJpo4dOz7yyCPO23z//fdCCD8/P4PB4HrPvsZisdTU1Oh0OsdyLrRvyqArsSRJgYGB3s0HHmOz2cxmM4PuU+x2e3V1tbqp1+uV/9PhC5SKZAa95ZRqNDZv56DRaMTPy/ow0K2WVlP/5KwMWTNpNM7eAkuS1L7fBjre0ms0Gr1e79184DE1NTUWi4VB9ynK+zh1MzAw0L2fAaLVkmVZ+Si1/Q06hTIAAABow7p06bJ48eK1a9du2bJFeSQ7OzsvL69bt25qG7UqQgjh+EeaZpo6dapSKHP16tUTJ05ER0c7nuVf//qXEsfExISFhdU93HFCFz8/P3dl1UwtdK2azO35REREfPDBBykpKeoAKUpKStLS0tLS0oQQQ4cOnTFjhosT2Fx33XWPPfaY8zYHDx4UFMo0xm6319TUaLVarpLvkGXZsVCGofcdFotF+YCVQfcdVqu1VqGMTsdnkr5CKZQJCAhoPXe87Uxr+HOFVqu1i5//Uq6l6qKVaqggpjW8hNo05xew3d/l2mw2x0KZ9v1k4ai6utpisbT7Vzgcmc3mWoUylFr6CLvdrhbKeH3Qle9JCjdV+vIKBgAAQJs3ffr00NBQdfPo0aOOe1voLzEDBw4MDg5W4s2bNzvuUiYpUUydOrXewx2nzbBarS2QYFO0tr9atUQ+BoPhiSee+Pjjj5955pmbb7657jQ8mZmZTzzxxD/+8Q/1rRcAAAAAAAAAoN1oXZ+DAwAAAE2g0WjGjRuXmpqqbJ49e9Zxb+fOndV4w4YN17SwjhOSJE2bNi05OVkIkZGRUVZWFhISIoSQZXn9+vVKm4CAgEGDBtV7uOOcN2VlZWrNjXe10LVqspbLx2AwjBgxYsSIEbIsX7lyJTs7+7vvvvvmm2/UlZu2bt16/fXX33777e46IwAAAAAAAACgNWBGGQAAALQHPXr0UGPH9XqEEL/4xS/UuKioyI0ndayi2L17txJkZ2cXFxcrcVJSklZb/0rwjiv7nD9/3o1ZNUfLXaum8UA+kiSFhoYOGTLk97///aZNm2bOnKnuSk5OttvtLXFSAAAAAAAAAIC3UCgDAACA9qCiokKNjUaj466oqCg13r9/vxtPajAYbrvtNiX+5JNPlKKKLVu2qA0SExMbOtYxq127drkxq+ZouWvVNB7OR6fTTZgwQR01k8l0+fLllj4pAAAAAAAAAMCTKJQBAABAe7Bv3z417tevn+Muo9EYExOjxJ988klNTY0bz5uUlKQElZWVR44cqays3LNnj/LIgAEDwsLCGjowODg4OjpaiTMzMwsKCtyYVZO16LVqK/mMGDFCjcvLyz1wRgAAAAAAAACAx1AoAwAAgFbHZDJ99tlnVqvVxfZ5eXkZGRnqplqAonrwwQeVoKqqas2aNW5JUhEZGdmtWzcl/vjjj7/++mt113333ef82OnTp6vx8uXLW8kqPy13rZrG8/k4ziLToUMHD5wRAAAAAAAAAOAxFMoAAACgNUpJSZk2bdqWLVtMJpPzlvn5+QsWLFA3ExISQkNDa7UZMGDAqFGjlDgtLS0lJcVmsznvtri4eN26dZWVlY2m+sADDyjBoUOH3n//fSXW6/WxsbHOD4yNjR06dKgSHz9+/OWXX66urm6ocWVlpdp5i2rRa+XdfD755JNDhw45P7yqqmrdunVKrNfrw8PDm5o4AADA/2Pv7uObKu/Gj18nSds0pZRSWspDWx4rFAoWBC3IdCggiLeITmW7Be1UGFhwMrshDnncvHXciggIaB0IMnkQRLTgnAOBoaUMaoFCCwgtUGgLpU0f0jTJ+f1x7h3z60Ma2jQJzef92muv70muXNf3nEOOJ8031wUAAAAA8EY6TycAAAAA1M9sNq9bt27dunVDhw699957u3fvHhYWptfrhRCyLFdVVeXl5e3evfubb75RXxIcHDxr1qx6e5s1a9bZs2cLCgqEEDt27Pj6669/9atfDR48uH379v7+/kIIm81WVVVVXFycnZ29e/fuc+fOCSEmTJjQaJ533nmnVqtVyi/UIoyJEydqtdpGX/u73/3uN7/5TUlJiRAiIyPjmWee+eUvf6nU+mi1WlmWKysrL168+PXXX+/Zs0cI8etf/7rRPpuv5Y6VZ/M5e/bshg0b/P39R48efeedd0ZFRQUHB/v5+QkhrFZrWVlZZmbmBx98UFpaqrSfNm2aJEkttFMAAAAA6tJ37Dbo9X94OgsAAAC0chTKAAAAwNulp6fbr6zUkNDQ0L/85S8Gg6HeZwMCApYtW7Zo0aKsrCwhRHl5+erVq12Snp+f3yOPPLJ161b7B0ePHu3Maw0Gw7vvvvuHP/whPz9fCFFRUbF27VqPL3jUcsfKG/Ixm827du3atWuX42Zjxoz5+c9/3uRRAAAAAAAAAADeiaWXAAAA4HUMBkNqampSUlKXLl2caR8YGPjcc8+9//774eHhDprp9frFixe/+uqrISEhjjuUJGn06NHLly8PDg52JoFx48bZb/br1699+/bOvFAIERwcvHz58qSkJJ3OURX7wIEDV65c6WSfzddyx8r78wkODn755ZenT5/OdDIAAAAAAAAA0PowowwAAAC8UYcOHSZMmDBhwgSj0Zibm3v69Onz589fvHjx6tWrNTU1er2+U6dOXbt27dWr18CBA6Ojo51Z50gIIUnS0KFD169fn5eXd/jw4dzc3JycnBs3bgghIiIioqKievbsOWDAgNjYWGVFHuez7dOnz6lTp5TNJ5988qZ2VqPRTJgw4aGHHsrMzDx27NjJkycvXLhgNpvbt2/fs2fPgQMH3nnnnRERETfVZ/O10LHyYD4pKSlFRUV5eXnnz5//8ccfCwoKioqKqqqqbDZbSEhIdHR0XFxcQkJCbGysRsMvCgAAAAAAAACgdaJQBgAAAF4tODh40KBBgwYNcmGfkiTFxMTExMS4qkNZli9fvqzEer2+f//+TehEq9U2YU8jIyN37tzpZOPg4GDnGyuac6z0en2jwznTxlX5aLXayMjIyMjIoUOHNuHlAAAAgLfp9NtpNpPJszloo4M1AYFKfMcQrc5PY7H+31OjYsOSHh3gscxgp0OoOTSwb93H2wSXSj1rXDJEZWWlxWLx9/fX6/Uu6fCWkPDn6ppKa0PPavX+7kwGAAA4j0IZAAAAoLlOnz5dVlamxI8++qiT09sAAAAAQHMEDfauMpROnYRG89MCptGhgff06uDBfNA4Q1dX9WQtK6sxm3WBgVJQkKv69H6dOnk6AwAA0CTMKA4AAAA01+eff67Go0aN8mAmAAAAAAAAAADAAWaUAQAAnmEymSZNmqTEycnJI0eO9Gw+rUxubm5KSooSr1y5shM/cWpJpaWl+/fvV+KBAwe2b9/es/l4Od77AAAAQMuxVZmM+7+/2VcV9IosbRPgmgSErMaX8kr/te+c/bM1ofoKbT0/372tY03ndk1cQ0pXbdFdv9G017YO5/aVCyE13q6FVVVVKUsvBQS45t+SY4GR7Tvf78o1mgEAgE+hUAYAAJeZNGmSyeHS4AaDoWvXrt27dx80aFD//v0NBoPbcvNOVuv/reJss9k8m0mrpB5eWZYdt2yU/b/tbdu2aTROzUpYUlKSlJSkxAkJCfPmzWtmGl7r448/VuOnn37ac4ncMnjvAwAAAC3EWma8tOStm33VgflTjuiqXJKAxe4m/2j6pdWlB+2fbXdvtwPVNXVf9eJI7f39TjVtRIMpJDjjq6a9tnXY/3SebGvuB/9bTqeRCRTKAACAJqNQBgAAl7Fareq3v/UyGo3Z2dnZ2dlffvmlEGLcuHFPP/20Xq93V4JAEzX6b9vBC5WgtdZDVFZWpqWlpaWlKZv9+vXr2bOnZ1MCAAAAAAAAAAAOUCgDAIDHfPnllwcOHFixYkVISIincwFwE956661//vOftR7UaDS/+93vPJIPAAAAAAAAAABwEoUyAAC0iO3bt2u1WvtHZFm2WCzXrl3717/+tWHDBovFIoQoKytLSUlZtWqVk2vZAPBOkiQtWrQoLCzM04kAAAAAAAAAAABHKJQBAKBFSJJU9xE/P7/IyMiJEyeOHDly6tSpVVVVQoiCgoL09PS77rrLE2l6kl6v37lzp6ezAJpFo9FERUUNGzZs3LhxTA3lJN77AAAAABqSc6pg1F2Lt3z526HDenk6FwAAALRaFMoAAOAB7dq1mzVr1uuvv65s7tu3zwcLZYBb129/+9vf/va3ns4CAAAAAFobWZZraqyy7Ok8AAAA0KqxygMAAJ4RHx+vxllZWR7MBAAAAAAAAAAAAPARzCgDAIBnGAwGNa6urnbyVUVFRQcPHszOzj516lRFRYVer4+NjY2Lixs2bFjnzp2d7KSwsPDIkSPHjh27cOFCcXGxRqMJDw/v0aNH//79ExISIiIibmpHZFk+fvz4t99++8MPP1y7di0wMPC2224bMmTIiBEj7PexmWRZzsvL++GHH06ePHn27Nnr16/rdLquXbv27t178ODBAwYM8Pf3d9VYLT2iS46Y1Wo9cuTId999l5mZWVJS0q5du9tuu23YsGF33nmnyw+FO1mt1hMnThw9evTkyZN5eXkWiyUsLCw+Pv72228fMmRI03bNarVmZWUdPHjw5MmThYWFFoslLi5uyZIlLk9eHc5Vu2C1Wg8fPpyenn7s2LEbN26EhobGxsYOHz586NChTTsULrmAeFDz3zvuv5IAAAAAAAAAALwNhTIAAHhGVVWVGnfp0qXR9qWlpW+88UatuWfMZnNGRkZGRsb69et79OjxyiuvOC5zMRqNb731VkZGRq3H8/Pz8/Pz9+3bJ4To27fvs88+27t377ovv3r16rRp05R44cKF8fHxV65cmTdv3pUrV+xTSk9PT09PX7ly5ezZs3/2s581lIzJZJo0aZISJycnjxw5st5mFRUVf//737du3VpWVlZr33NycnJycr744gtJkqZPnz569GhJkhzsvpNcOKJrj5jq9OnTCxcuNBqN6iPFxcXFxcUHDx4MCAiYM2fOoEGDbm6fvYAsy7t3705NTa1VN3b58uXLly/v2bNHq9U+//zzDzzwgINjXveA5+TkLFy4sNaprKmpUYIVK1Z8/fXXN5XniBEjXnrppZbbBVVWVtaf/vSniooK9ZGioiKl0iUgIOCVV15JSEjIzc1NSUlRnl25cmWnTp0a6q2ZF5Bdu3Z98MEHSvzuu+86c8myWq2/+tWvlEMRGxv7P//zP+pTzrz3Xf7ecf+VBAAAAAAAAADgnVh6CQAAzzh58qQa33nnnY4bZ2VlPf30045XaDp37tyzzz578ODBhhqUlpY+99xzdatkasnOzp49e7Z9HY9KlmXrfwghzpw5M3XqVPvvrWs1/stf/pKWluZgLLU3m83WUJuUlJTU1NRa323XHWvFihULFixw0I/zXDiiy4+YEOLrr79++eWX7atk7FVXV8+fP1+pebqFVFZWvvzyy6tWrXIwu5LVal21atWiRYuUg1mvWgc8IyPjd7/7nYNTaW2SFt0Fxeeffz537lz7Khl71dXVr7322t69e+13QZblhnpr/gVkxIgR6kB79uxxnLzi5MmTlZWVykseffTRWs82+t53+XvH/VcSAAAAAAAAAIB3YkYZAAA8wGg0Llu2TN0cNWqUg8bnz5+fO3euujlw4MDJkyfHxMT4+flZLJZLly5t3Ljx+++/V579n//5n0WLFg0cOLBuPwsWLKisrFTixMTEiRMndunSxWAwSJJks9nKy8uVSWWc/Bb8+PHjW7ZskWW5T58+kydP7tGjR2BgoCzLxcXFW7ZsUTtZtWpVYmJiu3btnOnTgZiYmIceeqhv375hYWGBgYFCCKvVWlJSkp6evm7dOpPJJIT497//vXHjxqeeeqqZY7XQiC45YsePH3/nnXfUzfvuu++xxx6LjIzUaDQmk+nMmTNr1qy5cOHC0qVL65YmeK3q6upZs2ZdvXpV2QwPD58yZcqAAQPatm0rSVJ1dXVOTs7atWsvXLgghMjIyFi6dKk6jYoDR44c2b59uxCiV69eTz/9dK9evZQDXlhY6KCezBt24ciRI2vXrlU3x44d+/DDD3fs2FGj0VRXV589e/aDDz44c+bM//7v/zpzll1yAQkJCYmPj1dKbXbt2jVlyhStVut4XOXgCyE0Gk1CQkKjeTrgwquN+68kAAAAAAAAAABvQ6EMAADuY/+NrDply/Tp0zt06ODgJQsWLFA3n3nmmUceeUTd9PPz69at29y5c7/66qt3331XeXDJkiUbNmzw9/e37+fSpUtnzpxR4l/+8pdPPvmk/bNarTYkJCQkJKR///5JSUk7d+5sdF82bdokhJg8efKjjz6qLlMiSVJERMSMGTOio6PVb/q3bdv261//utEOGzJ48OA5c+Z07dq11uM6nS48PPzBBx+8//77582bl52dLYTYsmXL+PHjQ0NDmzxcy43Y/CNmtVqXLFmibr766qtDhw5VNwMDA+Pj45ctW/bOO+98880327Ztu7nd9px33nlHLTEZN27cc889Z1+EodfrBwwYsGzZspUrV3711VdCiAMHDowdOzY+Pt5xt59++qkQYsKECc8884z9AY+MjFTrS2bOnDlz5kzH/ciyvGTJkvT0dGXz9ttvb9FdqKmpsV+lqFbZil6v79ev39KlS9euXbtr165Gz7KrLiBCiEcffVQplLFYLD/88IPj2hej0ahOXvXAAw/4+fk5ztMxl1xt3H8lAQAAAAAAAAB4JwplAABoERMnTlS/0FXUXWwlKioqOTm5T58+Dvr55ptvrl27psRjxoyx/5Lb3ujRo69evbplyxYhhMlk2rZt26RJk+wb5ObmqrHjWSgCAwOfeOIJBw1UI0eOfOyxx+p9avz48Tt27CgqKhJC7NmzJykpqdbRcF5SUpLjBgEBAa+99tqUKVOUJW92795da9+9Z8RmHrGvv/5aXYsnKSnJvkpGpdFoZs2adf78+XPnzjmTUhPU/bfdEAeLAanOnDmzf/9+JR46dOjUqVPr7Vyj0cyYMSMnJ+f8+fNCiLfffvv9999vNI2BAwfaV8k0TWpqqlol8/DDD9ed/8m1u7Bnzx5lXhMhxIwZM+qdHUqSpOeee+7HH388ceKE4+RddQERQgwcOFCr1SrXsU8//dRxoYz9nD1jx451nKQzmn+1abn39bVr1z788EPHbZTZvMxmc0PLaUEIYbFYlP/nKPmOmpoaNZZlmVPvO9S7Yk6676i1rGFVVZVGw3LwvsVkMpnNZk9n4Sss/5lK9qZY3bX8qK2BhWibs/6p1craqb7IarVyL+Fxyuc4hc1m44z4DuWWns9xPqXWtxuVlZXN/KMrbhXqH/m94aSrayY059ZRRaEMAAAtotH/To8ZM+aZZ54xGAyOm/3tb39T42eeecZByyeeeGL79u3KB9Rt27Y98cQT9n99Vr8s1+v1zZzdQeVgnhhJkiZOnLh69WohhMlkun79elhYmEsGrZfBYJg4caIy7UTzC2VabsRmHjH1H0NgYOBDDz3koKsZM2bMnj3bmZSawCX3oKqPP/5YjWfNmuXgVluSpOTkZGW/ioqKLl68GBUV5bjzadOmNfPe/Ysvvvjss8+UODExsd5iC9fuglKtIoRo06bN/fff76CrqVOnNjodjqsuIEIIrVb70EMP7dixQwiRmZlZVlbWtm3beruSZVndiw4dOkRHRztO0hnuudo07X1dWlpqf5zr1bNnTyGExWJR5xJDQ6xWK0fJN8myzKn3NZx0X6aUpcKncNLdyfqfyvubYnNXrUlDnyittvoLaJrTJ1o3m83GvYRX4Yz4IE66LzM16X4DtzRvOOmuvebw6w0AADxjz549Tz755F//+lf7317UUlxcrEyTIIQYOXKk46oaf3////qv/1Jis9mszFqhCg4OVgJYId4GAAAgAElEQVSTyeSSSv+EhAS1z3r17dtXja9fv978ERvNRwlKSkrcc8d2syM284hdu3ZNrXaaMGGC/co+dfXq1auhIgavUlVVpS7Qc8899zg+PkKIXr16BQYGKvGhQ4ccN46IiOjSpUtz0svIyFDKL4QQsbGxKSkpdYtgXLsLxcXFJSUlSvzII484PsvdunVzXBHiwguIYsyYMWqsTqJT18WLF9VxH3/88eb/zsCdVxv3X0kAAAAAAAAAAG7GjDIAALSI7du31/2SW5mDNDc3d8OGDWfOnBFCfPrpp8eOHXv99df1en3dTvLy8tT47rvvbnTQu+6669NPP1XiM2fO9OjRQ32qd+/eavz666/PmTOn0clsHBsyZIjjBiEhIWp848aN5ozlDPvhSktL6z2enh2xmUfMvnDhjjvucNyVJEn33nvvzp07HTdrmnr/bderuLjY8Xo39js1YsSIRjuUJCk+Pl5ZCOnUqVOOGzvToQPnzp1buHChEkdERCxevLjevXbtLtj35nhtI3VEZYqXernwAqLo0qVLp06dCgoKhBCbN28eN25cvUUwX3755U2N2yh3Xm3cfyUBAAAAAAAAALgZhTIAALSIer8/1mg0wcHBgwYNSkhI2LZt2/r164UQ586dW7JkyaJFi+q2v3Tpkhp37ty50UEjIyPV+MKFC/ZPdevWrUuXLkqHmZmZTz755N133z127NiePXs2rWLGfqx6+fv7q3HzV6OXZTk/P//48eMnTpy4dOnSlStXas3dbT/TcllZWceOHb1txGYescuXL6txRESE467Ef5Z6aQnOTxDSaD3NxYsX1djJBXqioqKUKpPTp0832tKZDutVXFyckpKixAaDYenSpQ0VTLh2F+zf8uHh4Y12VbeWpaHemnkBUT3xxBNvv/22EKKkpOTChQvdunWr1aCmpiYtLU2J77jjjjZt2jQ67k0lVi/nrzYtcSXR6XSNZqisYyVJUq0FrWBPlmVlzWOOku9QT7qCU+87eL/7Jvv/yHLqfYpy6iVJav5Eg3CS3KS3mPvOjyQJIdfzsOBfCG4a/0HxOG7pfRa39D6I97svU27pveGkuzYHCmUAAPAASZIeffTRI0eOnDhxQgiRmZmZnZ1tv3qIQpm5QeHMSjpBQUFqbP8duTLiggULkpOT1UUcDxw4cODAASFEWFjY0KFDhwwZ0rdvX/seHAsICHCyZfMdPnx49erVhYWFTrZvfl1OS4zYzCNm/4/BmdqmDh06NGc498jPz1fjmTNnKre5yicu9aOX8v82m00JrNb/W7feaDTKsuzgr+2hoaFNy6qysnL27NnKOdVoNEuXLrWfZaRFd+Hq1atq7MxZdrz0kgsvIKq77rpLjdPS0n7zm9/UapCZmal+DfbII480OqgzXHW1aaErSXR09K5duxy3mTp1qhAiMDCwffv2To7ug8rLy00mU0BAQKNLmKHVqKioUG9LNBoNbxDfYTaby8rKJEnipPuOmpqa0tJSdbNt27Y6HX+T9BXFxcVCiLZt2/r5+Xk6F19RU2MtuvlX6XQ6IWpcn029A1nrGag5lwU/Py4pvsjPz497CY8zGo3q7090Ol27du08mw/cxmQylZeXa7XaJv/9Dbec6upqo9GobrZr184byibgBjabTVns3htOuvqHYpdkwh0kAACeIUnSL3/5y7lz5yqbO3bsqFsoU1Pz0x+PnPmbkf3NQa1pEoQQERERH374YWpq6ldffWX/+LVr19LS0pRJIO64446nn37ayYkx3GPNmjWNfgl9q4/oDPvv7J25C3RnJVOTqd+PCiFMJpNrO2/an1lramp+//vfl5SUKJuLFy/u0qWLg/au3QXXnmXXXkAUBoNh+PDhBw8eFELs3r372WefrfWFx5YtW5RAr9fHxcU1OqjbeOf7GgAAAAAAAADgfhTKAADgMfarlhw6dKju9Bj230Crs1A4YD+feb3foBsMhhdeeCEpKenYsWMHDx5MT0+v9XV4RkZGRkbGxIkTp0yZ4g0zY+/du1f9bluj0YwfPz4xMbFz585BQUE6nc5++u7Lly9PmzbtVhzRSfaLy9hstkZXNWqo0MGreNsviWVZXrx4sbrq0G9/+9v+/fs7folrd8H+Le/MWXY85YnLLyCKhx9+WCmUkWX56NGjQ4cOVZ8qKSnJzs5WmzWav9t47fsaAAAAAAAAAOB+3vXlBAAAPqXW0ipVVVW1HunYsaMaG43GRtdFqqioUOPOnTs7GHfYsGHDhg2TZfnGjRvnzp3bv3//vn371K/SP/300+jo6JEjRzq/Ly3BarWuXr1aidu2bbt8+XIHk3k6UwfghSM6z/4fQ2VlpYPFgBTXrl1r4YxcwH6nNm3a5PzKXy1BluUVK1YcPXpU2Zw0adLPf/7zRl/l2l2w762qqqrR2ekdn+UWuoDcdtttQUFBSuPNmzfbF8rs27dPjUeNGuV4OLfx5vc1AAAAAAAAAMD9WDwMAABvYb9OiqJr165qfPny5UZ7uHr1qhrHxMQ02l6SpNDQ0MGDB7/44otbtmxJSkpSn1qzZo399BIecfnyZfWb+5kzZzpe8tZ+32+hEZ1nvwBQYWFho+3PnTvXkum4Rvfu3dW4qKjIg5kIIbZu3aquSjZy5Mgnn3zSmVe5dhfsz7IzvZ0/f97Bsy10AZEkaeLEiUqck5OjLlMly/LWrVvVl0dERDQ6ont48/saAAAAAAAAAOB+FMoAAOAxlZWV9pt11zqJjo5W40OHDjXaYXp6uhr37NnzppLR6XQTJkwYPXq0mtv169dvqgeXu3jxohr36dPHceMjR47ciiM6z36hrn//+9+Ntv/nP//Zgtm4iP1Oufl41rJ///6PPvpIiePj42fOnOnk0mOu3QX78pRjx4412v7bb7918GzLXUDsp5tS/6WdPXu2rKxMiR9//PFGh3Mbb35fAwAAAAAAAADcj0IZAAA8xn42iKCgIL1eX6tBeHh4hw4dlPirr74ymUwOequpqdm5c6cS+/v79+jRowkpDRs2TI2NRmMTenCh6upqNdZqtY5b7tmz51Yc0XkdOnRQZ8LYvn274wVizpw5U1pa6pa8miUkJKRv375KvHnzZovF4pE0Tp069eabbypx165dX3vtNY3G2Ztk1+5CeHh4cHCwEm/fvt3xrE75+fmOZ51puQtIWFhYbGysEm/btk2WZSHErl271Ab26zF5nDe/rwEAAAAAAAAA7kehDAAAniHL8scff6xu/vznP6+32RNPPFFv+7q2b9+ufh/88MMPO/9Nvz37WWTatGnThB5cSP2OXwiRl5fnoGVqaqpLaizcP+JNUf8xVFZW7t69u6FmsiyvXLnSXUk11+TJk5Wgqqpq7dq17k/gypUrc+bMUeK2bdu++eab/v7+N9WDC3dBkqRf/OIXSlxWVrZv376GWsqyvGbNmkY7bLkLiJqn0Wg8c+ZMdXX1N998ozxy33331Z0fy4O8/H0NAAAAAAAAAHAzCmUAAPCM7du3nzhxQt18+OGH6212//33q/OI7Nixo6HZDr799tsNGzYocUBAgPodtmrz5s1ZWVmOpyGpqqpSV5/R6/X23y57hP0yNO+++269X2DLsvzJJ5+kpaXdoiPelNGjRxsMBiVevXr10aNH67ZRqmTOnDnj3tSarl+/fnfffbcSp6WlpaamOv5XKoQoLi7+6KOPKioqmj+60Wh86aWXlBF1Ot1bb70VFBR0s524dhfGjRunVuq89dZb2dnZddvIsrx+/frMzMxGc3PVBaSuQYMGqatT7dq16/Dhw+pT48ePb/Tl7uTl72sAAAAA9m7r2/lyxXt3Du/l6UQAAADQmlEoAwCA+8iyXFlZmZWVlZKS8te//lV9/L//+787duxY70u0Wu0f//hHdXPFihVLliy5cOGC8l2v1Wq9ePHi0qVL//KXv6ht/vCHP9Rdxens2bNz58594okn1qxZk5mZef369ZqaGuUpq9VaUlKyd+/e559/vqSkRHlw2rRp6rfgnhIcHDx8+HAlzs/PnzFjRmZmprp8TGVlZWZm5uzZszdu3CiEeOyxx27FEW+KTqdT5z4RQrz22murVq26cuWKskCP2WzOzs6ePXu2UgzRUOmVF5o1a1anTp2UeMeOHU899dQXX3xx5coVs9msPGiz2SoqKi5cuLB79+4XX3wxKSlpy5YtjpclcobFYvnd735XXl6ubL7xxhvh4eEe3wV/f//Zs2erm7///e9TU1MLCwvVs5yTk/PKK69s27ZNOHGWXXUBqcvPz++BBx5Q4n/+85/qBS0kJKRp6761HC9/XwMAAAAAAAAA3Ezn6QQAAGidJk6cWKvQRJbler8XHz16tOP5G3r16rVgwYIFCxYoL//++++///77hhq/9NJLgwcPbuhZs9m8a9euXbt2OU5+zJgxDS0F5WbJycmZmZlKKUNBQYH9V/72ZsyYMXDgwK1bt96KI96UgQMH/uY3v1m1apWymZaWVu8cGMnJyd26dfvss8/cm10TBQQELFu2bNGiRVlZWUKI8vLy1atXu2Fco9FYUFCgbr788svOvGrEiBEvvfRSrQdduwuJiYmTJ09ev369srljx44dO3bUbZacnBwTE6Oe5YYq21x4Aall3Lhx6j+/wsJCJXj88cc9XmNXl5e/rwEAAAAAAAAA7sSMMgAAtAibzWb9/9WtkunUqdPixYtfeOGFRr9XTkhI+PDDD/v06eOgTXR09Jo1a+69997mpB0cHPzyyy9Pnz7dS77qNhgMq1atio2NbaiBXq+fP3/+mDFjbt0Rb9bYsWP//Oc/N7RCkE6nmzt37qhRo9ycVTPp9frFixe/+uqrISEhjltKkjR69Ojly5cHBwe7Nger09ywC4899thrr73W0MwuWq32lVdeGTVqlP1VRadrsAK+hS4g0dHRdRdo+9nPfuZ8D27j/e9rAAAAAAAAAIDbMKMMAADuo9PpOnbs2K1btz59+gwePLhLly7O16OEhoa+8cYbhYWFBw4cOHnyZHZ2dnl5ucFguO222+Li4oYNG9a1a1cHL09JSSkqKsrLyzt//vyPP/5YUFBQVFRUVVVls9lCQkKio6Pj4uISEhJiY2M1Gu+qow0JCXnzzTdzc3P37t17/Pjx/Px8IURERERcXFxiYmJCQoKfn9+tPuLN6tev34YNGw4fPvzdd98dPXr0xo0b7dq169279913333XXXc5s26OF5IkaejQoevXr8/Lyzt8+HBubm5OTs6NGzeEEBEREVFRUT179hwwYEBsbKzHj39DXLsLgwcP/vjjj7/77rv09PTMzEz1LA8fPjwxMVE5y6WlpWr7hmqnFM28gDS0v48//vjKlSvVR+Lj4xutE/IU739fAwAAAC6hCQhoe0/izb4qpk17uY1r/hrwV7s/dER2aXtHYrT9s1J0u4D6xokKteq1TVzFVSdppM7OTo3ZKnWbGCPLnk5CiJqaGpvNptVqHfyQw4VC+3d3wygAAKC1kmRvuIECAAAAcJO2bdu2bt06Jf7ss8+8ZCIo1DV16tQjR45Mnz49KSnJ07l4r/LycpPJFBAQ4PL5ouC1KioqqqqqlFij0bRv396z+cBtzGZzWVmZJElhYWGezgVuUlNTY1/g265dO/d8hwpvUFxcLIQICQmhLtl3BAUFVVZWKvGrr766aNEiz+YDtykrKzObzYGBgY5/yIHWxGg0VldXK7FOp2vXrp1n84HbmEym8vJyrVYbGhrq6VzgJtXV1UajUd1s3769t/3gFi3EZrNdv35deMdJr6iouOeee4QQmzdv7tGjiTXWKv4FAwAAALek/fv3K0G3bt2okgEAAAAAAAAAwBn8egMAAADeyGQy5ebmHj9+/PTp0wUFBSUlJTabLSgoKDo6unv37t27d+/bt2/Hjh19tkCkuLj43LlzSjxq1CjPJuNZJpNp0qRJSpycnDxy5EjP5gMAAAAAAAAA8GYUygAAAMC7FBQUbNy48dtvv637lNlsLikpyczMVDaDg4Mff/zxMWPG6PV69+boYbIsr1y5Ut0cMmSIB5PxBlarVQlsNptnMwEAAECrd/qh/7YaKxw0CHtjgq2/yT3JrDzZqaiq3IUddtZ32PlNs741MFl+uifftfVk/vGPmp3ULW/KePme9vvcM1bVd4XCZPrik8CKokr3jAgvF/vrscPXzPZ0FgAAeB0KZQAAAOAtampq3n///bS0NCfbG43GDz74IDU19fHHH//FL37h7+/foum5hyzLyh4FBwfX28Bqtb7//vsZGRnKZmJiYmRkpBsTBAAAAHybLIQsN9bCbRpJ5aa7c3mH7jwYXs1tB0IW8n/+BwjehAAA1I9CGQAAAHgFo9GYkpJy6dIl9ZFOnTpNmDChb9++HTp0MBgMkiTJsmwymYqKio4fP/7ll1/m5+cLIWRZ/uSTTwICAh577DHPpd9EZWVlU6ZMUeKXX3552LBhQojPPvvss88+u+++++67776YmJg2bdpIkmS1WsvKyo4dO7Zx48bCwkLlJVqtdtq0aR7LHgAAAAAAAACAWw2FMgAAAPC8ysrKF154oaSkRNkMDQ39/e9/HxcXV6uZJEkGgyEmJiYmJubBBx/Mz89/7733srKy3J6vK6nLBsn//8+8/vGPf/zjH/9w8EKdTvfGG2+Ehoa2YHIAAAAAAAAAALQuGk8nAAAAAF8ny/L8+fPVKpnY2Ng1a9bUrZKpKyoqasmSJX/84x8DAwNbOEevk5CQsG7dul69enk6EQAAAAAAAAAAbiXMKAMAAAAP+8c//nHq1Ckl7tChw5/+9Cd/f3/nXz5kyJAPP/zw+PHjLZOdu0mS9Mknn/z444/Z2dlnzpy5ePHi9evXjUajTqfr0KFDnz59+vTpk5iYyEQyAAAAAFqfUuOlz/e+OnrYnIiwWE/nAgAAgFaLQhkAAAB4Uk1NzXvvvaduzpkz56aqZBQGg2Ho0KEuzcuTAgMD4+LinJlTBwAAAABaE1kIm80qhNx4UwAAAKCpKJQBAACAJx06dMhsNitxnz59evfu7dl8nCfLcl5e3g8//HDy5MmzZ89ev35dp9N17dq1d+/egwcPHjBgQBMqfm6W1Wo9ceLE0aNHT548mZeXZ7FYwsLC4uPjb7/99iFDhjQhAavVevTo0W+//TY7O/vatWshISFxcXGjRo0aOHCgJEm1Gl+/fn3fvn3p6ekXLlyoqanp3r37kCFDRo8eHRIS4uRwbj6G3nDKAAAAAAAAAACeRaEMAAAAPGnHjh1q/Nhjj7XEEPv37//f//1fJd64caPBYHDQOCsra968eUq8Zs2a8PDwum0qKir+/ve/b926tayszP5xs9mck5OTk5PzxRdfSJI0ffr00aNH160vUUyfPr2goECWf/qh5BtvvKHRaOq23LJli05X+75dluXdu3enpqZWV1fbP3758uXLly/v2bNHq9U+//zzDzzwQEMJXL16ddq0aUq8cOHC+Pj4c+fOzZs3z36nrl27tn///v3798fExPzpT38KDg5WHrdare+///4XX3xh3+GpU6dOnTr10UcfJScnjxo1qt5BVS45hs5z83AAAAAAAAAAAK9FoQwAAAA8prq6+syZM+pmv379WmIUWZatVqvz7dXG9lUs9lJSUvLz8xsddMWKFYcOHZo3b1695S9Wq7VWVs7nWVlZOW/evJycHAdtrFbrqlWrDh8+PHfuXK1WW2+G9sNlZWXNnTu3od4uXLgwa9as9957z9/f32Kx/OEPf3Aw+vLly4UQjmtlXHIMnefm4QAAAAAAAAAAXotCGQAAAHjMpUuX1DgsLCwoKMiDydysmJiYhx56qG/fvmFhYYGBgUIIq9VaUlKSnp6+bt06k8kkhPj3v/+9cePGp556yoXjVldXz5o16+rVq8pmeHj4lClTBgwY0LZtW0mSqqurc3Jy1q5de+HCBSFERkbG0qVLU1JSHPd57Nixbdu2CSHuuOOOX/3qV1FRUX5+fjU1NefOnXv77bcvX74shCguLv7ggw9+85vfLF26NCcnJyAgICkp6a677goJCZEkqaysbPfu3Rs3blQ6XL58eWJiYps2bRyP6+Zj6KlTBgAAAAAAAADwHhTKAAAAwGOUCgxFz549PZjJTRk8ePCcOXO6du1a63GdThceHv7ggw/ef//98+bNy87OFkJs2bJl/PjxoaGhtRqvXr1aCHHjxo3Jkycrj7z88ssjRoxodPR33nlHrZIZN27cc889Zz9hjF6vHzBgwLJly1auXPnVV18JIQ4cODB27Nj4+HgHfW7ZskUIMW3atHHjxqkP+vv79+nT55133pk+fXphYaEQIi0trV27dgcPHuzcufObb76prsQkhAgJCXniiSciIyOXLl2qPPL5559PmjSpoRFdcgyd5+bhAAAAAAAAAABei0IZAAAAeExRUZEaR0dHezCTm5KUlOS4QUBAwGuvvTZlypTq6mohxO7duxsqGbFf4seZ5X7OnDmzf/9+JR46dOjUqVMlSaq32xkzZuTk5Jw/f14I8fbbb7///vv1tlSNHTvWvkpG5e/vP3369Pnz5yubmzZtEkL8+c9/tq+SUf3sZz/bsGGDUsfz5ZdfOiiUceExdEbLDVddXX3u3DnHbZQlrmw2m8VicS5fX2Sz2YQQsixzlHyHctJVnHrfoS78x0n3HbUWl7ypNTHROlitVsf3oq1MQ0u4ttBgru7Pjcn7DNnGUYXHtOhHUfsrBp/mfAof4X1QrXt4i8XCwuU+Qv3rjTecdPWa45JbVgplAAAA4DGlpaVq3Mom8DAYDBMnTlTKSppZ5GHv448/VuNZs2Y5+L5BkqTk5OTZs2cLIYqKii5evBgVFeWg5ylTpjT0VP/+/e03J06c2NDJkiTpwQcfTE1NFUKUlpYajcZ662mc1ELH0LXDXbp0qdF1mpTZkkwm040bN5qfZ+tmNpvNZrOns4AH2Gw23iC+RpZlTrrPMhqNnk4B7lZeXu7pFFyp0b/LWywWreMWrlOr8LT5KGVrCVarG79IlmVBwRPsmM1m99x0Wa1W7u58DZ/jfFlZWZmnU4C7ecNJr6ysVAIKZQAAAHBrq6mpUWOdrpFb07KyMgfFHEKIJUuWxMXFuSYzV0hISFCqLkpKSkwmk16vb2aHVVVVGRkZSnzPPfc0WoPSq1evwMDAqqoqIcShQ4ccFMrccccdBoOhoWf9/f07duyorvd03333ORg0NjZWjW/cuNGcQhnRAsfQq4YDAAAAAAAAALgfcyIBAADAY/z8/NTYmclarQ5522/mQkJC1Nh+7pwmU9ZRUowYMaLR9pIkxcfHK/GpU6cctBw8eLDjrjp37qzGnTp1ctDSfq+b/7silx9DrxoOAAAAAAAAAOB+zCgDAAAAj2nbtq0a33KTtcqynJ+ff/z48RMnTly6dOnKlSvV1dX2DexnQS8rK+vYsWMzR7x48aIaR0dHO/OSqKio9PR0IcTp06cdNGs0N3W+mYCAAMdz/wQEBKix/YxB9XLzMXT/KQMAAAAAAAAAeBsKZQAAAOAx4eHhapyXl+e4cdu2bXfu3FnrwR07dqSmpro+s8YcPnx49erVhYWFTrY3m83NHzQ/P1+NZ86cqdFoxH8WZJVlWbZbit5msymB1WpV2huNRlmWJUmqt2f76pZ6KWMJIVy4GpGbj2ELDdepU6c1a9Y4brNixQohREBAgP2MNailqqrKbDb7+fk5WAUMrYzJZFKL1TQaTTNXasMtpKamprKyUpIk+3pZtG4Wi6WiokLdbNOmjVar9WA+cCdllr6goKBGF1q9hVxr4KZapdPpZOGC+39nqDfqrsLbsyVotW789y9JQoiGPvrBB/n7+7fcR9HKykr1FzJarbZNmzYtNBC8jdlsrqqq4nOcT1E+x6mbwcHBLr8JgXey2WxGo1F4x0lXP1O45Fan9Xw+AQAAwC3HfkGfc+fONaEHj/wZd82aNbt27XL/uFVVVWpsMpncn4Bw3R/i3XwMW264wMDAQYMGOW6jfITTarX2a42hFqVgQqPRcJR8R61yNE6971CXSuSk+yydTteaaibgDJ1O51NveUmS3LcorKvrISiwaAmShqMKj2nRD1n2fyKQJMmnLvU+TvldFifdp9hPwyyE8PPz83jNBNxDPfXecNLVaw6FMgAAALi1denSRY2LiooqKyu9fzKJvXv3qiUXGo1m/PjxiYmJnTt3Vn4mK0mSept++fLladOmuXDoVvOVkpuPoQdPGQAAAAAAAADA27SSP7UDAADgVqTX63v06KHOJXPy5Mk77rijRUdUf8XeEHWtooaeXb16tRK3bdt2+fLloaGhTeuqCTp27KjGmzZtCgoKcm3/7uHmY+jZUwYAAAAAAAAA8DbMiQQAAABPevjhh9V4y5YtLTGE/fJMjVZCFBcXO3j28uXLFRUVSjxz5kwHJRdCiKtXrzqdo1O6d++uxkVFRa7t3G3cfAw9e8oAAAAAAAAAAN6GQhkAAAB40vDhw9UVhbKzs3Nyclw+RNu2bdXYaDQ6bnz8+HEHz168eFGN+/Tp47irI0eOOJHdTxqd7aZbt25N7tx7tOgx9PhwAAAAAAAAAAAvR6EMAAAAPMnf3//5559XN9944w2z2ezaITp06KDGP/74o4OWZrN57969DhpUV1ersf1ENfW23LNnT6O5aTQ/3ZBbLBbHjUNCQvr27avEmzdvbrS9d3L5MfSq4QAAAAAAAAAAXo5CGQAAAHjYmDFjevXqpcSFhYWvvfaaa2tlIiIiJElS4p07dzpo+cknn9hsNgcN7Gtu8vLyHLRMTU11ppBFr9ersTOrKU2ePFkJqqqq1q5d22h7L+TyY+hVwwEAAAAAAAAAvByFMgAAAPAwSZIWLlyoLpB04sSJadOm5ebmNvrC6upqxyslKbRa7d13363Ep06d+v777+tt9s0332zZssVxVzExMWr87rvv1ltXIcvyJ47VqbQAACAASURBVJ98kpaW1mhiQgidThcUFKTEhw8fbrR9v3791H1JS0tLTU21Wq2OX1JcXPzRRx9VVFQ4k48buPwYetVwAAAAAAAAAAAvR6EMAAAAPK9NmzYrVqyIjIxUNouLi2fPnv3CCy98/fXX+fn5VVVVsiwrT9XU1JSWlmZlZa1YseLxxx8/dOiQM/0/9dRTarxkyZJNmzbduHFD6bO6ujo3N3f+/Plvv/22Vqv9xS9+4aCf4ODg4cOHK3F+fv6MGTMyMzNNJpPySGVlZWZm5uzZszdu3CiEeOyxx5zJbeTIkUpw6tSpzz//3Gg0qjtbr1mzZnXq1EmJd+zY8dRTT33xxRdXrlxRp+Gx2WwVFRUXLlzYvXv3iy++mJSUtGXLFscz5bhTSxxD7xkOAAAAQHO0C+4y+eH1EWG3eToRAAAAtGY6TycAAAAACCFESEjIu++++95773399dfKI3l5ee+8844zrw0NDX3++efj4uIaahAZGTlp0qRNmzYpm5s2bVJje6+//rrZbHY8r0xycnJmZmZ5ebkQoqCg4I9//GO9zWbMmDFw4MCtW7c2mvyECRM+//xzJV67dq2yoJJGo1GXi9qyZYtO99N9e0BAwLJlyxYtWpSVlSWEKC8vX716daOjeBWXH0OvGg4AAAAAAAAA4M2YUQYAAADewt/ff+bMmStWrEhMTHTyJf369VuyZMlf//rX4cOHq5Ul9XryySenTZvW0LMdOnRYsWLFbbc1/rNFg8GwatWq2NjYhhro9fr58+ePGTOm0a4U4eHhv//972slb7PZrP9R7xCLFy9+9dVXQ0JCHHcuSdLo0aOXL18eHBzsZD5u4PJj6FXDAQAAAAAAAAC8GTPKAAAAwLtERUXNmTOnqqoqJyfnhx9+yMnJKSgouHbtms1mCwwM7Ny5c7du3bp27dq7d++ePXsaDAYnu5Ukady4cSNGjPj2228PHz58+vTpysrKDh069OvX79577x04cKBWq3Wyq5CQkDfffDM3N3fv3r3Hjx/Pz88XQkRERMTFxSUmJiYkJPj5+d3ULg8fPvxvf/vbd999d/jw4fPnz1+5csVisTS6O0OHDl2/fn1eXt7hw4dzc3NzcnJu3LihZBIVFdWzZ88BAwbExsbebDLu4fJj6FXDAQAAAAAAAAC8liTLsqdzAAAAAIBWa+rUqUeOHJk+fXpSUpKnc/Fe5eXlJpMpICDAq2Y/QouqqKioqqpSYo1G0759e8/mA7cxm81lZWWSJIWFhXk6F7hJTU1NaWmputmuXTv7ZSXRuhUXFwshQkJCWlNdss1U7biBpJWEn5umcrfYhGv/vi/LQrY5mqqzUWHt2lZWVirxnD+8Mn/+AlfkdWvTamStxl1fxFhtQkiWGlk4nHK1JRiNRrPZrNfrg4KC3Dw0HJC0Gm1AS12BjUZjdfX/XRJ1Ol27du1aaCB4G5PJVF5ertVqQ0NDPZ0L3KS6utpoNKqb7du312hYuMYn2Gy269evC+846RUVFffcc48QYvPmzT169Ghmb3woBQAAAAAAAADAKRp9gKdT+EmLFOQ4O9WmEz3pNP4BfAfhXlohhND5e2JkS7VWK3SBATqDF71HAAAA6sVNKgAAAAAIIYTJZJo0aZISJycnjxw50rP5AAAAAAAAAABcjkIZAAAAoNWaNGmSyWRS4m3btnl8ekzvZ7ValcBms3k2EwAAAKCu0n/sr0g/2kKdHxgw7IRo7qI5Ndaf1hg6dvjy2nf+1cwObzmhdwSWd6gWQjwUY9JK/9+KS21PX5LMjSzd5U7FFwNP7ch3VW81NTU2m02r1fry+nrRDw2LmTjC01kAAIDG+e79CgAAANDqWa1WtfIDAAAAwK3OdCr3xu5vWqjzzLB+u0vKmtmJVf6pNOTihRsHvjnbzA5vObd1jLhgvSaEuL9zlVZjsX+qzZUcTXmJh/Kqh7Wo25l1+zydRavSJrojhTIAANwS+EUpAAAAAAAAAAAAAAAAfAKFMgAAAAAAAAAAAAAAAPAJFMoAAAAAAAAAAAAAAADAJ1AoAwAAAAAAAAAAPK/UeGnD588UXsvxdCIAAABozSiUAQAAAAAAAAAAnicLYbNZhZA9nQgAAABaM52nEwAAAADgeYWFhUeOHDl27NiFCxeKi4s1Gk14eHiPHj369++fkJAQERFxU71ZrdasrKyDBw+ePHmysLDQYrHExcUtWbKkVjNZlvPy8n744YeTJ0+ePXv2+vXrOp2ua9euvXv3Hjx48IABA/z9/W92R6xW64kTJ44ePXry5Mm8vDyLxRIWFhYfH3/77bcPGTKkCR0CAAAAAAAAAFoTCmUAAAAAn2Y0Gt96662MjIxaj+fn5+fn5+/bt08I0bdv32effbZ37951X3716tVp06Yp8cKFC+Pj43NychYuXFhWVmbfrKamxn6zoqLi73//+9atW2s1M5vNOTk5OTk5X3zxhSRJ06dPHz16tCRJzuyILMu7d+9OTU2trq62f/zy5cuXL1/es2ePVqt9/vnnH3jgASc7BAAAAAAAAAC0PhTKAAAAAL6rtLR06tSplZWVjptlZ2fPnj37k08+CQwMrPWULMtWq1XdzMjIWLhwYaPjpqSk5OfnO24jy/KKFSsOHTo0b948jaaRRWMrKyvnzZuXk5PjoI3Val21atXhw4fnzp2r1WobTRIAAAAAAAAA0PpQKAMAAAD4rgULFqhVMomJiRMnTuzSpYvBYJAkyWazlZeXK5PK7Nmzx5nejhw5sn37diFEr169nn766V69egUGBsqyXFhYePDgwbrtY2JiHnroob59+4aFhSklOFartaSkJD09fd26dSaTSQjx73//e+PGjU899ZSDcaurq2fNmnX16lVlMzw8fMqUKQMGDGjbtq0kSdXV1Tk5OWvXrr1w4YIQIiMjY+nSpSkpKTdxmAAAAAAAAAAArQWFMgAAAICPunTp0pkzZ5T4l7/85ZNPPmn/rFarDQkJCQkJ6d+/f1JS0s6dOxvt8NNPPxVCTJgw4ZlnnlGXN5IkKTIy8tFHH7VvOXjw4Dlz5nTt2rVWDzqdLjw8/MEHH7z//vvnzZuXnZ0thNiyZcv48eNDQ0MbGvedd95Rq2TGjRv33HPP2U8Yo9frBwwYsGzZspUrV3711VdCiAMHDowdOzY+Pr7RPQIAAAAAAAAAtDKNTGAOAAAAoLXKzc1V41qFLLUEBgY+8cQTddddqmvgwIH2VTINSUpKqlslYy8gIOC1114LCAhQNnfv3t1QyzNnzuzfv1+Jhw4dOnXq1HqXVdJoNDNmzOjWrZuy+fbbb8uy7DhJAAAAAAAAAEDrw4wyAAAAgI+6du2aEuj1ej8/P5f0OW3atEarZJxkMBgmTpy4adMmIcTu3bsnTZpUb7OPP/5YjWfNmuVgdEmSkpOTZ8+eLYQoKiq6ePFiVFRUM5O8ePHiSy+95LiNTqcTQlRVVZWUlDRzuFbMZrMJIcxmM0fJdygnXY059b5DqVOUZZmT7jtqFaeWlZW56m4Btwqj0chJdxVlfdIWYrFYhHDN5wJfZrFYlKBuab63FetbLDWeTqG1MZlMPnWHY39Lb7FYfGrffZxyNVOWz/Z0LnCTWv8Ju3HjBnd3vqa0tNTTKYjKykolsP8PUJNRKAMAAAD4qODgYCUwmUwVFRVBQUHN7DAiIqJLly7NzusnCQkJSqFMSUmJyWTS6/W1GlRVVWVkZCjxPffco+5RQ3r16hUYGFhVVSWEOHToUPMLZcxm87lz5xy36dmzpxBClmWr1drM4Vo9jpIv49T7IE66z3LJ3zRxa+Gku1CLVlp4WRXHrcrBYZSFlx1iL0unFbDZbL58h+PL++6zOOk+i7s7H+QN73fX5sDSSwAAAICP6t27txq//vrrakl+k40YMaKZPdQSEhKixvX+auH8+fM3NbokSfHx8Up86tSp5uYHAAAAAAAAALjVMKMMAAAA4KO6devWpUuXS5cuCSEyMzOffPLJu+++e+zYsT179jQYDE3o8GYnaJFlOT8///jx4ydOnLh06dKVK1eqq6vtG9j/PKWsrKxjx461erh48aIaR0dHO5lkenq6EOL06dM3lS0AAAAAAAAAoBWgUAYAAADwUZIkLViwIDk5WVmKSAhx4MCBAwcOCCHCwsKGDh06ZMiQvn37Or8kU2hoqPOjHz58ePXq1YWFhU62N5vNdR/Mz89X45kzZ2o0GvGf6ehlWVYDIYTNZlOX0FbaG41GWZabuaBycHDwf/3Xfzluk5ubK4TQ6XR1l46Cqqamxmq1arVaPz8/T+cCN7FYLBaLRYklSQoICPBsPnAbm81mNps56T5FOenqpr+/v/KfbPgCk8kkOOkuZdK14J/0NZpm3RtDof5rr/tZQxLedYQl3piu5muf+5TPcUqs0Wj8/f09mw/cxmq11tTUcEvvU5STrm4GBAQ0809quFXIsqz8stEbTrpr1/yiUAYAAADwXRERER9++GFqaupXX31l//i1a9fS0tLS0tKEEHfcccfTTz/tzHwtOqf/ar9mzZpdu3Y1IeFa1BIf8Z+vYdwsPDx83rx5jttMnTpVCOHv79+mTRu3JHVLKi8vt1qtOp2Oo+Q7Kioq7AtlOPW+w2w2KzUTnHTfUVNTY18oYzAYnL9nwK1OuUMLDAykFtZVKlrySGq12pbr3HdotQ1Wn3j866VaOOMu52uf+4xGo32hjE/tu48zmUw1NTWcdJ9SXV1tXygTFBREGbSPsNlsSqGMN5x09VbKJZnwoRQAAADwaQaD4YUXXkhKSjp27NjBgwfT09NrrX+UkZGRkZExceLEKVOmuOQPu3v37lWrZDQazfjx4xMTEzt37hwUFKTT6SRJUke5fPnytGnTHHTF12wAAAAAAAAAgJvCn5UBAAAACIPBMGzYsGHDhsmyfOPGjXPnzu3fv3/fvn3qj8M+/fTT6OjokSNHNnMgq9W6evVqJW7btu3y5csdLNikjt6Qjh07qvGmTZucXyUKAAAAAAAAAOCbmBMJAAAAwE8kSQoNDR08ePCLL764ZcuWpKQk9ak1a9Y0fyHYy5cvV1RUKPHMmTMdVMkIIa5eveq4t+7du6txUVFRM3MDAAAAAAAAALR6FMoAAAAAqJ9Op5swYcLo0aOVzcrKyuvXrzezz4sXL6pxnz59HDc+cuSI4wbdunVzvjEAAAAAAAAAABTKAAAAAHBk2LBhamw0GpvZW3V1tRprtVrHLffs2eO4t5CQkL59+yrx5s2bLRZLM9MDAAAAAAAAALRuFMoAAAAAcMR+Fpk2bdo0s7cOHTqocV5enoOWqampzhS+TJ48WQmqqqrWrl3bzPQAAAAAAAAAAK0bhTIAAACAj9q8eXNWVpbVanXQpqqq6qOPPlJivV5vX+bSNDExMWr87rvv1lsKI8vyJ598kpaW5kyH/fr1u/vuu5U4LS0tNTXV8R4JIYqLiz/66KOKigqnswYAAAAAAAAAtBI6TycAAAAAwDPOnj27YcMGf3//0aNH33nnnVFRUcHBwX5+fkIIq9VaVlaWmZn5wQcflJaWKu2nTZsmSVIzBw0ODh4+fPjBgweFEPn5+TNmzJg+ffptt92m1+uFEJWVlbm5uevWrTtz5owQ4rHHHtu6dWujfc6aNevs2bMFBQVCiB07dnz99de/+tWvBg8e3L59e39/fyGEzWarqqoqLi7Ozs7evXv3uXPnhBATJkxo5r4AAAAAcK12wV0mP7ze01kAAACglaNQBgAAAPBpZrN5165du3btctxszJgxP//5z10yYnJycmZmZnl5uRCioKDgj3/8Y73NZsyYMXDgQGcKZQICApYtW7Zo0aKsrCwhRHl5+erVq12SKgAAAAAAAACglWHpJQAAAACOBAcHv/zyy9OnT2/+dDIKg8GwatWq2NjYhhro9fr58+ePGTPG+T71ev3ixYtfffXVkJAQxy0lSRo9evTy5cuDg4Od7x8AAAAAAAAA0DowowwAAADgo1JSUoqKivLy8s6fP//jjz8WFBQUFRVVVVXZbLaQkJDo6Oi4uLiEhITY2FiNxsUV9iEhIW+++WZubu7evXuPHz+en58vhIiIiIiLi0tMTExISFBWgLopkiQNHTp0/fr1eXl5hw8fzs3NzcnJuXHjhtJzVFRUz549BwwYEBsb24TOAQAAAAAAAACtA4UyAAAAQKu1efNmB89qtdrIyMjIyMihQ4c2eYjIyMidO3c24YWSJMXGxjqYV6ZpnUuSFBMTExMT04SU9Hp90/YFAAAAcI/ge4b5d+3cQp2P7xKVoA1qZif/PV+q/k8cP6jTlKfubGaHtxx9N50lpIcQol2ARSPJ9k9p+sRJFquH8qpH4BUpcWWCq3ozmUwWi8XPzy8gIMBVfd5yOgx29AkXAAB4DwplAAAAAAAAAAC4BRj69zH079NCnSe6opMpmp8WbI3pETryAeoG7ER5OoH/X0h3EeKSsy6EEKKsrMxsNgcGBgYFNbfcCgAAoKW5eAZ1AAAAAAAAAAAAAAAAwDsxowwAAAAAR0wm06RJk5Q4OTl55MiRns2n5eTm5qakpCjxypUrO3Xq5Nl8AAAAgFuLVa4Q4qfFhgrKqg9fKPFgPvUaFFiokWzqpqVMNpdamtupJAUlxDe3EwAAALgLhTIAAACt2aRJk0wmk4MGBoOha9eu3bt3HzRoUP/+/Q0Gg9tyg0vYn+Jt27ZpNC0yZ6TValUCm83muOWtTt1TWZYdtwQAAABQi8n6o7CrQfkyu+jo3456MJ96/bPPzja2MnWzqrT7xQ+PNLNPSavt+822ZnYCAAAAt6FQBgAAoDWzWq3qF//1MhqN2dnZ2dnZX375pRBi3LhxTz/9tF6vd1eCaK5GTzEAAAAAAAAAAFC1yO9NAQAAcIv68ssvn3322dLSUk8n0qqUlZU98h//+te/PJ0OAAAAAAAAAAC+ixllAAAAfMX27du1Wq39I7IsWyyWa9eu/etf/9qwYYPFYhFClJWVpaSkrFq1qoUW8fFNLOgDAAAAAAAAAIA34MsPAAAAXyFJUt1H/Pz8IiMjJ06cmJqaGhgYqDxeUFCQnp7u9gQBAAAAAL7LVHjh6Nwx5eePezoRAAAAtHIUygAAAEAIIdq1azdr1ix1c9++fR5MBgAAAADgc2RZtloE03ACAACghVEoAwAAgP8THx+vxllZWR7MBAAAAAAAAAAAoCXoPJ0AAAAAvIXBYFDj6upqJ19VVFR08ODB7OzsU6dOVVRU6PX62NjYuLi4YcOGde7cuWUy9QCr1XrixImjR4+ePHkyLy/PYrGEhYXFx8fffvvtQ4YM8ff393SCjSssLDxy5MixY8cuXLhQXFys0WjCw8N79OjRv3//hISEiIiI5g8hy3Je3v9j7+7joirzx/9fZ2a4VQTiRlMDFm+xkEXT1LRaM8zSzdBS+3zUpBtdydxvpptrW6K5W5ZbaupDbW0rTQsVM1tv8lNm+isRSxJFEQ1EEeWe4Wbuz++P054mwGHkHub1/Ot9zlxznfe5zqBnZt5zXZd++umnM2fOXLhwoaioSKfTde/evVevXgMHDuzfv3+9B0qW5bS0tMOHD//000+FhYVeXl59+vQZNGjQiBEj7F+3jlmt1hMnTnz//fepqanFxcV+fn59+vQZNmzYXXfd1SauIAAAAAAAAACg4SiUAQAAwC+qqqrUuFu3bnW2Ly0tXb58ebW5Z0wmU0pKSkpKyocffhgeHv7Xv/7VcQXGt99++89//lOJt2zZ4rjo4dSpU6+88ooSb9iwISgoSH1oz549//rXv5T43XffdSZ/q9X6P//zP0pJUO/evd94441am8myvG/fvk2bNlUrHsrNzc3Nzd2/f79Wq3322WcffPBBSZKqPXf27NlXr16V7WYOX758uUZTy7SOiYmJOl1T3Zzr9fq33347JSWl2v6cnJycnBxlma2IiIinn366V69e9TtERUXFl19+uX379rKyMvv9JpMpIyMjIyPjiy++kCRp9uzZMTExNQfK3rVr12bNmqXES5YsiYyMzMvLe+WVV/Ly8uy7TU5OTk5OXrt27bx58+655546Mzx37tySJUv0er26p6CgoKCg4OjRox4eHgsXLhwwYMDNnTMAAAAAAAAAoA1i6SUAAAD84syZM2p81113OW586tSpJ5980vEKTRcvXnz66aePHj3qoI0sy9b/ciZJtbH823XrR4wYoT60f/9+Z7o6c+ZMZWWl8pQJEybU2qaysnL+/Pnr1q1zMMWO1Wpdt27d0qVLa56C0rnNZlP32J+vPWcSrp/S0tJnnnmmZpVMNenp6fPmzbMvlropCxYs2LRpU7UqmWpkWV6zZk1CQoL9gNTazH5YMjMzZ86caV8lU63xW2+9tXfvXsfpHTx4cP78+fZVMvaMRuPixYuVgiEAAAAAAAAAQPvGjDIAAAAQQgi9Xr9y5Up184EHHnDQOCsra9GiRepmVFTUtGnTQkND3dzcLBbLlStXtmzZcuzYMeXRN954Y+nSpVFRUU2UucLX1zcyMlIp3NmzZ8/06dO1Wq3jpyQlJSmBRqOJjo6u2cBoNM6dO/fatWvKZlBQ0PTp0/v379+pUydJkoxGY0ZGxsaNG7Ozs4UQKSkpK1asWLBgQWOeVWNISEiorKxU4qFDh8bGxnbr1s3b21uSJJvNVl5erkwq42R1kWOhoaHjxo2LiIgICAjw8vISQlit1uLi4uTk5A8++MBgMAghfvjhhy1btkydOtWZDtPS0hITE2VZ7tu377Rp08LDw728vGRZLigoSExMVHNet27d0KFD/fz8btTJqlWr1M37779/4sSJXbp00Wg0BoMhMzNzw4YN2dnZK1asuFG9FAAAAAAAAACg3aBQBgAAwKXZ1zGos4nMnj07MDDQwVMSEhLUzRkzZjz66KPqppubW1hY2KJFiw4cOPDuu+8qO5ctW7Z582Z3d/emOYlfTJgwQSmUsVgsP/30U621Lyq9Xq9OsvLggw+6ubnVbLNq1Sq1Suahhx565pln7ItvPD09+/fvv3LlyrVr1x44cEAIceTIkTFjxkRGRqpt1q9fL4QoKSmZNm2asmf+/PkjRoxoyGnelCtXrmRmZirxE088MXnyZPtHtVqtr6+vr6/vHXfcERcXt3v37nofaODAgQsXLuzevXu1/TqdLigo6OGHHx41atQrr7ySnp4uhEhMTBw7dqy/v3+d3W7dulUIMW3atAkTJqgLNkmSFBwcHB8fHxISsnHjRmXnjh07nnrqqZo9WK3WZcuWqZsvv/zy4MGD1U0vL6/IyMiVK1euWrXqq6++2rFjx82dNgAAAAAAAACgraFQBgAAwFXExsaqpQaKmiv+3HbbbXPmzOnbt6+Dfr766qvCwkIlHj16tH2VjL2YmJhr164lJiYKIQwGw44dO6ZMmVL/7J0QFRWl1WqVk9q5c6fjQhn7BaHGjBlTs0FmZua3336rxIMHD545c2a10VNoNJr4+PiMjIysrCwhxDvvvPPee+9Va6nRaGqNm8H58+fV2PF0KV5eXpMmTar3geLi4hw38PDwePXVV6dPn64sYrVv3z4nXw8jR46cOHFirQ+NHTt2165d+fn5Qoj9+/fHxcXVvEYHDx6sqKhQk7SvklFpNJq5c+dmZWVdvHjRmZTslZSUfPbZZ47bKFPpmM3meq9s5QqUv1yr1coouQ6LxaLGsixz6V2HevvBRXcd1e45jUaj2WxuqWTQIoxGo/0/+2jHzKLt/XVbHa4M6zz+X1PW2LVYLAyF67D/L95ms3HpXYfy3zrv41xKtXs5g8FQ6yelaH9kWVaC1nDR1X9zbI1x/0ahDAAAgKuo8/Zx9OjRM2bM8Pb2dtxs27ZtajxjxgwHLSdNmpSUlKS8j9qxY8ekSZOatExEq9WOGzdu165dQojU1NSysrJOnTrV2lKWZaWCRwgRGBgYEhJSs83HH3+sxnPnznXwNkCSpDlz5sybN08IkZ+ff/ny5dtuu60hJ9KI1JImT0/PWmfNaU7e3t6xsbHKJDHOF8rUOk+MQpKk2NhYZdoeg8FQVFQUEBBQrY36cvXy8ho3bpyDruLj45WLeFOKiopWr17tuE2PHj2EEGazWS3ZwY1YLBa+RXNNsizzB+JquOiujC9UXJBSNwxXYNUZWzqFuqnf9yhsNX5AUj/8v6Ywm81UQ7omm83GX4Gr4aK7MnWdd7iO1nDRGzeHZv09KwAAAFqz/fv3T548+d///reDL6oLCgqUCTyEECNHjnRcVePu7v7HP/5RiU0mkzLnSpMaPXq0GqvzwdR0+fJl9Swef/zxmkUwVVVV6sJM9957r4+Pj+Pj9uzZ08vLS4m/++67m0276aiZGwyG1vDhhTrNT3FxsTPfl0RHRzse/IiICDUuKiqq9mhhYaFaKjR+/Hj7lbNq6tmz540qqwAAAAAAAAAA7QYzygAAALiKpKSkmoUCyo8/zp8/v3nz5szMTCHEzp07T548+frrr3t6etbs5NKlS2o8fPjwOg86ZMiQnTt3KnFmZmZ4eHj9T8AJ3bp1u/XWW69evSqE+PTTTx966KFaZ4L5z3/+o8a1noV9Tc+IESPqPK4kSZGRkcnJyUKIs2fP3nziTaVXr15q/Prrry9cuLDOGYOalK+vrxqXlpbW+hqzN2jQIOc7LCkpqfao/XW88847HXclSdJ99923e/dux80AAAAAAAAAAG0ahTIAAACuotaSEY1G4+PjM2DAgOjo6B07dnz44YdCiIsXLy5btmzp0qU121+5ckWNu3btWudBu3TposbZ2dn1yfsmTZo06Z133hFCFBcXZ2dnh4WFVWtgNpv37t2rxHfeeWfHjh1rdnL58mU1rnVhpppuu+02pVDm3Llz9Uq8SYSFhXXr1k25aqmpqZMnTx4+fPiYMWN69OjRFBUzsizn5OSkpaWdPn36ypUreXl5RuNvpl63X/+rrKysc+fOsBltlgAAIABJREFUjju0f/3Uyt3dXY1NJlO1R3Nzc9U4ODjYcVfiv2sk3SzHE9UAAAAAAAAAAFoVCmUAAAAghBCSJE2YMOHEiROnT58WQqSmpqanp9uva6NQJmtROLNOTYcOHdTYvsim6QwZMkSN9+7d+6c//alag9TUVLVc49FHH621k5ycHDV+/vnnNRqN+O9K9rIsq4EQwmazKYH1vwvb6/V6WZZrLUtqfpIkJSQkzJkzp6qqStlz5MiRI0eOCCECAgIGDx48aNCgiIgI+8tUb8ePH1+/fv3169edbF+zrqUmDw+PhqRk/3J1pjAoMDDwZg8RHh5+7Ngxx21mzpypJFCP/l1HeXm5wWDw8PCoc6UztBsVFRXqP00ajeaWW25p2XzQbEwmU1lZmSRJAQEBLZ0LmonZbC4tLVU3/fz8dDo+k3QVBQUFQghfX183N7eWzgXNocKS19Ip1E2SJCH/utlYL07u9svKykwmk5eXV6O8wUSboNfr1Z/H6HQ6Pz+/ls0HzcZgMJSXl2u1Wn9//5bOBc3EaDTq9Xp185ZbblE+L0W7Z7PZlPXuW8NFr6ioUIJGyYRXMAAAAH4hSdITTzyhbu7atatmG7PZrMbOfMNhf89abXKRJuLt7X333Xcr8b59++wTViQmJiqBp6dnv379au1E/e5WCGEwGCorKysrK6uqqqqqqgwGg9FoNBqNJpPJZDJZLBar1apWybRCwcHB77//fkxMTLX9hYWFe/fuXbJkyZQpU5YsWWK/qFY9bNiwYenSpc5XyTQP+1ocZ94+NbAuBwAAAAAAAADQ+vHrDQAAAPzKfqGi7777rubMKPY/tnOmOsR+qZ1mq0J45JFHjh49KoSQZfnHH38cPHiw+lBxcXF6erra7EaL5rSzXzl7e3s/99xzcXFxJ0+ePHr0aHJycrWipZSUlJSUlNjY2OnTp9djLpxDhw7t2bNHiTUazdixY4cOHdq1a9cOHTrodDpJktQ+c3NzZ82a1fAzcpL9wkw2m63ONZKap5YLAAAAAAAAANCC2tUXAAAAAGigasvTVFVVVdvTuXNnNdbr9XXOqKxOhyiE6Nq1q+PGyhpGDjg5cUufPn06dOigHPrTTz+1L5T55ptv1PiBBx64UQ/2p7l169b2MXG0t7f3sGHDhg0bJstySUnJxYsXv/3222+++UYd1Z07d4aEhIwcOfKmurVarevXr1fiTp06rV692sG8u8089Y79daysrPT19XXcvrCwsIkzAgAAAAAAAAC0MJZeAgAAwA3VXLeoe/fuapybm1tnD9euXVPj0NDQmg3sJ/mos4qioKCgziMKISRJio2NVeKMjIzi4mIllmV5+/btajLBwcE36uF3v/udGufn5ztz0DZEkiR/f/+BAwf++c9/TkxMjIuLUx/asGGD/SRAzsjNzVXLoZ5//nnHq1Pbvx6aQbdu3dTYmWWhLl682JTpAAAAAAAAAABaHoUyAAAA+FVlZaX9Zs3FkkJCQtT4u+++q7PD5ORkNe7Ro0fNBp06dVJjvV7vuLe0tLQ6j6iwnxbl66+/VoILFy6UlZUp8eOPP+7g6fZLUJ04ccLJgzqjzllzmplOpxs/fnxMTIyyWVlZWVRUdFM9XL58WY379u3ruHHjDmad7K/jDz/8UGd79aUCAAAAAAAAAGivKJQBAADAr7KystS4Q4cOnp6e1RoEBQUFBgYq8YEDBwwGg4PezGbz7t27ldjd3T08PLxmG7U3IcTPP//soDeTyXTo0CEHDewFBAT07t1biXfs2KGUp+zZs0dtYL8eU02+vr4RERFK/Omnn1osFiePWyuN5te77gZ21USGDRumxnWWK1VjNBrV2H5+oFpb7t+//2Zza4jAwEB1hpukpCTHUxZlZmaWlpY2S14AAAAAAAAAgBZDoQwAAAB+Icvyxx9/rG7+4Q9/qLXZpEmTam1fU1JSklpF8cgjj9jXi6iCg4MlSVJitaqmVp988slNrQr02GOPKYFer8/MzDQajV999ZWy5/777685WU4106ZNU4KqqqqNGzc6f9ya7OuNWudCTvazyHTs2PGmnmtf6nTp0iUHLTdt2tT8dULqy7WysnLfvn03aibL8tq1a5srKQAAAAAAAABAi6FQBgAAAL9ISko6ffq0uvnII4/U2mzUqFHqLB27du260Rwhhw8f3rx5sxJ7eHioZSvVaLXa4cOHK/HZs2ePHTtWa7OvvvoqMTHRiZP41YABA9QSnD179hw/flx9aOzYsXU+/fbbb1cT27t376ZNmxzPRyKEKCgo+OijjyoqKqrt1+l0HTp0UGL7NJrBp59+eurUKceZV1VVffTRR0rs6elpX/jijNDQUDV+9913ay2FkWX5k08+2bt370313ChiYmK8vb2VeP369T/++GPNNkqVTGZmZvOmBgAAAOA3PDuHDXj9/zr+LrKlEwEAAEA7R6EMAACAS5NlubKy8tSpUwsWLPj3v/+t7v/f//3fzp071/oUrVb7t7/9Td1cs2bNsmXLsrOzlQoJq9V6+fLlFStWvPXWW2qbl156qeYqTqqpU6eq8bJly7Zu3VpSUqIslmQ0Gs+fP7948eJ33nlHq9XeqNqmVm5ubg8++KASf/311+rZ+fr61roIVE1z58699dZblXjXrl1Tp0794osv8vLyTCaTstNms1VUVGRnZ+/bt+/Pf/5zXFxcYmJirdPejBw5UgnOnj37+eef6/V65QSb2oULFxYtWjRp0qQNGzakpqYWFRWZzWblIavVWlxcfOjQoWeffba4uFjZOWvWLLW6yEk+Pj533323Eufk5MTHx6empqprclVWVqamps6bN2/Lli1CiIkTJzbOiTlNp9MtXLhQ3Xz11VfXrVuXl5enXCaTyZSenj5v3jyl3utGxWEAAAAAAAAAgHZD19IJAAAAoJnExsZWq4GQZbnWqo6YmBjHJSk9e/ZMSEhISEhQnn7s2LEbzQQjhHjhhRcGDhzooLcuXbpMmTJl69atyubWrVvV2N7rr79uMplual6Zhx56SJ3F5Pr160rw+OOPO1kL4uHhsXLlyqVLl546dUoIUV5evn79euePbm/8+PGff/65Em/cuFFZy0mj0aiZJCYm6nRNdXNuMpn27NmzZ88ex81Gjx59o/W2HJszZ05qamp5ebkQ4urVq/Z1VPbi4+OjoqK2b99ej0M0RFRU1J/+9Kd169Ypm3v37q11bps5c+aEhYV99tlnzZsdAAAAAAAAAKBZMaMMAACAq7DZbNbfqlklc+utt7722mvPPfdcnaUk0dHR77//ft++fR20CQkJ2bBhw3333VdnbpMnT541a9aNHg0MDFyzZk2fPn3q7KdmAjUXErrnnnuc78HT0/O11157+eWXfX19HbeUJCkmJmb16tU+Pj41Hw0KCvrLX/5SbVTtr4jzKTUFHx+f+fPnz549+2ank1F4e3uvW7eud+/eN2rg6em5ePHi0aNHNyDHBhkzZsw//vEPdQGsanQ63aJFix544IFmzgoAAAAAAAAA0PyYUQYAAMCl6XS6zp07h4WF9e3bd+DAgd26dXO+VMLf33/58uXXr18/cuTImTNn0tPTy8vLvb29+/Tp069fv2HDhnXv3t3JriRJeuihh0aMGHH48OHjx4+fO3eusrIyMDDw9ttvv++++6KiorRabT3OTpKkxx9/fO3ateqeyMjIOkteanYyePDgDz/88NKlS8ePHz9//nxGRkZJSYkQIjg4+LbbbuvRo0f//v179+7t5ubmoJ+7775727Zt33///fHjx7OysvLy8pTFqprUggUL8vPzL126lJWV9fPPP1+9ejU/P7+qqspms/n6+oaEhPTr1y86Orp3794aTYNq6H19fd98883z588fOnQoLS0tJydHCBEcHNyvX7+hQ4dGR0c7HpxmcPvtt2/evPn48ePff//9jz/+WFJS4ufn16tXr+HDhw8ZMsTB0mAAAAAAnKSVvIXdGrOdO7pHdbu591/NQOsfKuQqdVOy+Xvf4egXIE5p2PspAAAANDNJluW6WwEAAAAA6mXmzJknTpyYPXt2XFxcS+fSepWXlxsMBg8Pj1rnZEK7VFFRUVX1y3dUGo3mlltuadl80GxMJlNZWZkkSQEBAS2dC5qJ2WwuLS1VN/38/JpuxUm0NgUFBUIIX1/fFi+bRrPp0KFDZWWlEr/88stLly5t2XzQbMrKykwmk5eX143m8kT7o9frjUajEut0Oj8/v5bNB83GYDCUl5drtVp/f/+WzgXNxGg06vV6dfOWW25p4I/u0FbYbLaioiLROi56RUXFvffeK4T49NNPw8PDG9gbr2AAAAAAAAAAAAAAAAC4BH69AQAAAKD5nD9/fsGCBUq8du3aW2+9tWXzAQAAAAAAAAC4FAplAAAAgNZuypQpBoNBiXfs2NHis1w2kNVqVQLWgQUAAADq5+fZfzFfK6i5/8o/Ht9XXFVtZ5A26P+SG3S4cJ3W7dgVZ1qaTVY11mb9n21fZYMO3KK++7d8+ahTZw0hhCzLsixLkiRJUkvn0nz8I38X85/XWzoLAABw0yiUAQAAAFo7q9WqFpcAAAAAgKWoxFJQWHO/UbaUmKrXpnR0N13XN6hIPcDDTVvoVMmLfTG8ZDGIquKGHLdlmYq1lVdqqUYCVF6d/Vs6BQAAUB9t+6eoAAAAAAAAAAAAAAAAgJMolAEAAAAAAAAAAAAAAIBLoFAGAAAAAAAAAAAAAAAALoFCGQAAAAAAAAAA0MLO5JR4PvbBkfRrLZ0IAAAA2jkKZQAAAAAAAAAAQAuThTBbbbLc0nkAAACgvdO1dAIAAAAAGll+fv7Ro0fT09PPnj1bUVHh6enZu3fvfv36DRs2rGvXrvXr02q1njp16ujRo2fOnLl+/brFYunXr9+yZctqNjtx4sT333+fmppaXFzs5+fXp0+fYcOG3XXXXe7u7jd7UFmWL1269NNPP505c+bChQtFRUU6na579+69evUaOHBg//7969Gn0m1aWtrhw4d/+umnwsJCLy+vPn36DBo0aMSIEd7e3vXoEAAAAAAAAADQVlAoAwAAALQfpaWly5cvP3XqlP1Ok8mUkpKSkpLy4YcfhoeH//Wvfw0ODnbQybVr12bNmqXES5YsiYyMzMjIWLJkSVlZmX0zs9lc7Ynnzp1bsmSJXq9X9xQUFBQUFBw9etTDw2PhwoUDBgxw8kQqKiq+/PLL7du3VzuoyWTKyMjIyMj44osvJEmaPXt2TEyMJEnOn0teXt4rr7ySl5dn32dycnJycvLatWvnzZt3zz33OJkkAAAAAAAAAKDNYeklAAAAoJ04derUk08+Wa1KppqLFy8+/fTTR48eddBGlmXrfwkhUlJSXnzxxWoFKzUdPHhw/vz59lUy9oxG4+LFi7/55pu6TuIXCxYs2LRpk+ODyrK8Zs2ahIQEm83moI39uWRmZs6cOdO+SqZa47feemvv3r1OJgkAAAAAAAAAaHOYUQYAAABoD7KyshYtWqRuRkVFTZs2LTQ01M3NzWKxXLlyZcuWLceOHVMefeONN5YuXRoVFVVntydOnEhKShJC9OzZ88knn+zZs6eXl5csy9evX7evtklLS1u1apW6ef/990+cOLFLly4ajcZgMGRmZm7YsCE7O3vFihUTJkxw/qRCQ0PHjRsXEREREBDg5eUlhLBarcXFxcnJyR988IHBYBBC/PDDD1u2bJk6dWqdvaWlpSUmJsqy3Ldv32nTpoWHhyvnUlBQkJiYuH//fqXZunXrhg4d6ufn53yeAAAAAAAAAIC2ghllAAAAgDbParUmJCSomzNmzFi6dGmvXr3c3d0lSXJzcwsLC1u0aNFzzz2ntlm2bJnJZKqz5507d8qyPH78+BUrVvTv39/b21uSJI1G06VLF7XkxWq1Llu2TH3Kyy+/PHfu3G7dumm1WkmSvLy8IiMjV65cOXLkSCHEjh07nDmjgQMHrl27dvXq1TExMbfddptyXEmSdDpdUFDQww8//NFHH0VERCiNExMTi4uL6+xz69atFotl2rRpb7zxxh133KGeS3BwcHx8/DPPPKO2dDJJAAAAAAAAAECbw4wyAAAAQJv31VdfFRYWKvHo0aMfffTRWpvFxMRcu3YtMTFRCGEwGHbs2DFlypQ6O4+KipoxY4YkSTdqcPDgwYqKCiWOi4sbPHhwzTYajWbu3LlZWVkXL16s84hKP44beHh4vPrqq9OnTzcajUKIffv2OXMuI0eOnDhxYq0PjR07dteuXfn5+UKI/fv3x8XFOThllcViqbNGR1n1SZZlB0tEQZZlwSi5GOWiq7j0rkO99Fx011Hz752r72r4L745VfuLU/c2eyKAq3Dlf9+4pXdZ3NK7IP7eXZZ6rVvDRW/cHCiUAQAAANq8bdu2qfGMGTMctJw0aVJSUpLFYhFC7NixY9KkSRpNHdNMzpo1y3HJiHp0Ly+vcePG3aiZJEnx8fHz5s1zfDjneXt7x8bGbt26VThdKPPUU085SC82Nnb9+vVCCIPBUFRUFBAQUGeHly5devzxxx236dGjhxCiqqqqqKiozg5dnMlkYpRck81m49K7GlmWueguq6ysrKVTQHPjojcFpRq7tv2WmjstFksDvwuwWi3ahjy/bbLUNpiAPYvFwi2NgqFwQVarlYvuskpKSlo6BTS31nDRKysrlaBRKmZYegkAAABo2woKCpR5UIQQI0eO9Pb2dtDY3d39j3/8oxKbTKasrCzHnQcHB3fr1s1Bg8LCQnUym/Hjx2u1jj4/79mzZ6dOnRwf8aZER0crQXFxscFgqLOxj4+PgwbqWk5CCD7rAQAAAAAAAIB2iUIZAAAAoG27dOmSGg8fPrzO9kOGDFHjzMxMx41HjBjhuIF9qc2dd97puLEkSffdd5/jNjfF19dXjUtLSx03HjRokPO9tYYfSQAAAAAAAAAAGh1LLwEAAABt25UrV9S4a9eudbbv0qWLGmdnZztufNtttzlukJubq8bBwcF1Hl1Zh8hJsizn5OSkpaWdPn36ypUreXl5RqPRvoH9NJtlZWWdO3d20Jv9idfK3d1djU0mk/N5AgAAAAAAAADaCgplAAAAgLbt6tWrauzMwkYdOnRQY/sim1r5+/s7f3THqz4pAgMD62yjOH78+Pr1669fv+5k+zpLWzw8PJzsynnBwcHLli1z3OaTTz4RQri7uzte+MnFGQwGs9ns5ubm6enZ0rmgmRiNRvXPVpKkjh07tmw+aDYWi6WqqoqL7lKsVqu6lrwQwtvb2/FajWhP9Hq94KI3jSKNxlbb/lqHuuHjr9G44hXkdYs6abVaV36jp7yPU2KtVuvMZwJoH8xms8Fg0Gg09h8xoX1T3sepmx07dpQkqQXzQbORZbm8vFy0jouu0fyyXFKjZEKhDAAAANC2qR9LCSF0urrv8NV3FEKIahO01FRnh/blKfY934iT1SobNmzYs2ePMy1bVseOHUePHu24zc6dO4UQOp2uKSp12g2z2Ww2mzUaDaPkOiwWixpLksSldx2SJCkfsHLRXYf9vYoQwt3d3Zk7FrQPSqGMm5ubm5tbS+fS3tzo6wFJquWeXNJohJCb4nDtmyRc8axxU1z8Ptb+AwEXHwpXI8uy4KK7Nnd3d2c+BkQ7oM7n3RouuvpREoUyAAAAAIT9tw5Wq7XO9vbLFTX8Ew375YpsNludv7msszRHCHHo0CG1Skaj0YwdO3bo0KFdu3bt0KGDTqeTJEl9L5Sbmztr1qz65g4AAAAAAAAAcDkUygAAAABtW+fOndVYr9fXOe1tRUWFGnft2rURj15ZWenr6+u4fWFhoeMGVqt1/fr1StypU6fVq1c7WP7JmcIgAAAAAAAAAABUzIkEAAAAtG3du3dX49zc3DrbX7t2TY1DQ0MbePRu3bqp8fXr1+tsf/HiRccNcnNz1VKe559/3kGVjPjtuQAAAAAAAAAAUCcKZQAAAIC2LSQkRI2/++67OtsnJyercY8ePRp49LCwMDX+4Ycf6mz/9ddfO25w+fJlNe7bt6/jxidOnKjziAAAAAAAAAAAqCiUAQAAANq2oKCgwMBAJT5w4IDBYHDQ2Gw27969W4nd3d3Dw8MbePTAwEB10pekpCTHayFlZmaWlpY67tBoNKqxVqt13HL//v1OZwoAAAAAAAAAAIUyAAAAQNs3adIkJZBl+eOPP3bQMikpSa1EeeSRRzSaRnhHoB69srJy3759N2omy/LatWvr7E0t+hFCXLp0yUHLTZs2WSwWp9MEAAAAAAAAAIBCGQAAAKDtGzVqlDqty65du240z8rhw4c3b96sxB4eHo899lijHD0mJsbb21uJ169f/+OPP9Zso1TJZGZm1tlbaGioGr/77ru1lsLIsvzJJ5/s3bu3vikDAAAAAAAAAFwUhTIAAABAm6fVav/2t7+pm2vWrFm2bFl2drZSZWK1Wi9fvrxixYq33npLbfPSSy95eno2ytF1Ot3ChQvVzVdffXXdunV5eXk2m00IYTKZ0tPT582bp5TvPPLII4578/Hxufvuu5U4JycnPj4+NTVVXU+qsrIyNTV13rx5W7ZsEUJMnDixUU4BAAAAQIu7/TY/684ZI/p1bulEAAAA0M7pWjoBAAAAAI2gZ8+eCQkJCQkJSnnKsWPHjh07dqPGL7zwwsCBAxvx6FFRUX/605/WrVunbO7du7fW6V7mzJkTFhb22WefOe5tzpw5qamp5eXlQoirV6/a1wDZi4+Pj4qK2r59e8NyBwAAAAAAAAC4EGaUAQAAAFo7pfZFIUnSjZpFR0e///77ffv2ddBVSEjIhg0b7rvvvkZMTzFmzJh//OMfHTp0qPVRnU63aNGiBx54wJmuvL29161b17t37xs18PT0XLx48ejRo+uZKwAAAAAAAADAVTGjDAAAANCqybJsMpmUWJIkB4UyQgh/f//ly5dfv379yJEjZ86cSU9PLy8v9/b27tOnT79+/YYNG9a9e/emS/X222/fvHnz8ePHv//++x9//LGkpMTPz69Xr17Dhw8fMmTITa305Ovr++abb54/f/7QoUNpaWk5OTlCiODg4H79+g0dOjQ6OtrNza3JzgMAAAAAAAAA0G5RKAMAAAC0amazWY27devmzFOCg4NjY2NjY2Prd8QuXbrs3r27fs/VarVDhgwZMmTIjRr06tXLyc4lSerdu7eDeWWEE6ne1Ln4+PjU+8QBAACA5hS28jXZaq25P8Tfc2Bo9Y/9bVYxo4+2IYfTWG26yb93pmVi+CxL1S+xJfQ+TcxLDTluyxo80Han2VZ3OwghhCgvLzebzZ6enl5eXi2dS/PRuPMTDgAA2iQKZQAAAIBWLT8/X43DwsJaLhEAAAAArYVb56Ba97sL0bGZU/mt38yA6dZBdAhusVQa7AbryqJ2clmZyWTy8vK60YK8AAAArQeFMgAAAGhjKisrz5w5k5aWdu7cuWvXrpWUlLi5uQUEBPTq1Ss8PPyOO+743e9+p9FoWjrNRpOSkqLGgwcPbsFMGp3BYJgyZYoSz5kzZ+TIkS2bDwAAAAAAAACg3aNQBgAAAG1GTk7OBx98kJycXG2/xWK5fPny5cuXv/76ayGEh4fHpEmTxo4d6+np2RJpNqbKysqtW7eqm7//vVOznTeFKVOmGAyGWh/SarUdOnQICQkJDQ0dMGBARESE81NtW/87XbzNxpTmAAAAqL+CzdttVbXfrzqg0Wk6Bf53oSCtxm1YT/Uhq5tXlTv3qL+x64fAUoPsoEFni81q/XXQMsryd2WlNn1eaBWMRqPNZtPpdG5urEb0i1AfrZtkqffT+16/pLWa627XjDK+MpbnVUU8N9771oCWzgUAgAahUAYAAABtgNlsXrdu3cGDB51pbDQaP/zwwy1btjz99NMPPfSQ9Ju5v9sMg8GQnp7+zjvvVFZWKntGjhzp5+fXUvlYrVa1qKXmQyaTqbi4ODU1dffu3UKI2NjYyZMnt4NCJQAAALQVRTu+sBQV3+yz3Pw6eIVe+++Gu9vtv85xaO4UUi7ddIft2/bUOy4XGx00GKVzs1p+raS5WF6wN+d00+cFtFL3d/PViJJ6P73nz8c1hrJGzKfhLieJS4eyf/f4fRTKAADaOgplAAAA0Nrp9fr58+fn5uaqe7p06TJ58uTevXsHBgZ6eHgIISwWS2lpaWZm5oEDB5S1iqxW6/r168PCwm6//fYWS90JZWVl06dPV+L58+cPGjRowoQJNZv5+vo+++yzzZta/e3cufP//u//Vq9e3YKVPQAAAAAAAAAA1EShDAAAAFq1qqqq559/vrCwUNn09vZ++eWXb7/99mrzxLi5uQUGBgYGBg4ZMqS4uPi999779ttvWyLf+lBnapHl2qcxHzBgwIsvvujt7d2MSTmSlJSk1WrVTVmWzWZzXl7ef/7zn//85z/KztLS0kWLFq1atcq+JQAAAAAAAAAALYtCGQAAALResiy/9tprapVMeHj43//+9zrrRfz9/efPnz9q1Khly5Y1fY5NpWPHjr169YqIiBgxYkS3bt1aOp3fqFalJEmSu7t7SEjIrFmzRo4c+eKLLyr7c3Jyjhw5cu+9996oH09PT2WpJgAAAAAAAAAAmgeFMgAAAGi9Dh8+fOrUKSXu1KnT66+/7unp6eRzo6OjN27cWFpa2mTZNQk3N7c2XTvSu3fvqVOnfvTRR8rmtm3bHBTKAAAAAICqOOvKjriFY99Z1KV/n5bOBQAAAO2ZpqUTAAAAAGpnsVjWrFmjbi5YsMD5KhmFv79/WFhYI6eFujzwwANqfOXKFZPJ1ILJAAAAAGgzZNlmsbZ0EgAAAGj/mFEGAAAArdSxY8cMBoMSh4WFRUZGNsVR8vPzjx49mp6efvbs2YqKCk9Pz969e/fr12/YsGFdu3Z1vp/r16+fOHHi5MmT2dnZBQUFGo0mKCgoPDz8jjvuiI6ODg4ObvTMZVlixIW7AAAgAElEQVS+dOnSTz/9dObMmQsXLhQVFel0uu7du/fq1WvgwIH9+/d3d3dv9IM6w9fXV5IkWZaVzZKSksY6fZvNdu7cuZMnT549e/bChQsGg8HHx6dnz56///3v77rrrsDAQMdPb7UjBgAAAAAAAABoNhTKAAAAoJX67LPP1Hjy5MmSJDVu/6WlpcuXL1eXdlKYTKaUlJSUlJQPP/wwPDz8r3/9a51FHnq9/u23305JSam2PycnJycn55tvvhFCREREPP3007169bJvMHv27KtXr6oFJUKI5cuXazS1TPqYmJio0/16615RUfHll19u3769rKysWvIZGRkZGRlffPGFJEmzZ8+OiYlp9HGrkyRJHTt21Ov1yqbRaLxRS4PBMGXKFCWeM2fOyJEjb9RSluWDBw++9957VVVV9vsLCwsLCwuPHTu2fv36O++889lnn+3SpUvNp7fyEQMAAAAAAAAANBuWXgIAAEBrZDKZzp49q242+nQyp06devLJJ6tVyVRz8eLFp59++ujRow7alJaWPvPMMzWrZKpJT0+fN29etSIPq9VqtVptNpu6R5Zla22q9bZgwYJNmzZVq/moRpblNWvWJCQk2PffPGRZLi8vVzc9PDwcNFbP0UGeFRUV8+bNW716dbUBrCYlJeXZZ5+t9aFWPmIAAAAAAAAAgGbDjDIAAABojXJzc9XY39/fx8enETvPyspatGiRuhkVFTVt2rTQ0FA3NzeLxXLlypUtW7YcO3ZMefSNN95YunRpVFRUrV0lJCRUVlYq8dChQ2NjY7t16+bt7S1Jks1mKy8vVyaV2b9/fyPmrwgNDR03blxERERAQICXl5cQwmq1FhcXJycnf/DBB8qqVT/88MOWLVumTp3a6Ed3oKyszH6aHF9f34b0VlVVNWfOnIKCAmXT09Pz8ccfHz58eEBAgE6nk2VZr9dfunTpyy+/PHTokOOuWu2IAQAAAAAAAACaDYUyAAAAaI0uX76sxj169GjEnq1Wa0JCgro5Y8aMRx99VN10c3MLCwtbtGjRgQMH3n33XWXnsmXLNm/e7O7uXq2rK1euZGZmKvETTzwxefJk+0e1Wq2vr6+vr+8dd9wRFxe3e/fuak9fv369EKKkpGTatGnKnvnz548YMaLOUxg4cODChQu7d+9ebb9OpwsKCnr44YdHjRr1yiuvpKenCyESExPHjh3r7+9fZ7eN5csvv1Tj3r17O55Rpk4rVqxQq2SioqIWLlzo7e2tPipJkq+vb2RkZGRk5FNPPfXxxx/X2kkrHzEAAAAAAAAAQLNh6SUAAAC0Rvn5+WocEhLSiD1/9dVXhYWFSjx69Gj7Khl7MTExjz32mBIbDIYdO3bUbHP+/Hk1njBhgoODenl5TZo0SZnFpBqNRlNr7EBcXFzNmg97Hh4er776qlqhsm/fPme6bRQXL1788MMP1c3p06c3pLe0tLTk5GQl7tmz5+LFi+2rZKrx9fX905/+VOtDrXnEAAAAAAAAAADNiRllAAAA0BqVlpaqcUBAQCP2vG3bNjWeMWOGg5aTJk1KSkqyWCxCiB07dkyaNKlaIYtacOPp6enm5taISTact7d3bGzs1q1bhRD79u2bMmVKkx7OYrFcv3593759u3btUnf+4Q9/iIyMbEi3W7ZsUeMFCxZotdqG9OZY/Ubs6tWrS5cuddymvLxcCGEwGOxf1ajGarUKIcxmM6PkOpSLrpBlmUvvOmw2m+Ciuxj7NRmFEOXl5ZIktVQyaBEVFRXNcNGrvdLq9azf9GC1WhqWUTsk22yOG9j//w7AZrM693OY2tXvn7UmpdzIlZeXa0tLxW//5K1WK3d3rkN5JdhsNi6667D99h6grKyMW3oXof5n1BouemVlpRLY6ropdQaFMgAAAGiNzGazGut0jXbXWlBQoM5VM3LkSAfTkwgh3N3d//jHP+7cuVMIYTKZsrKywsPD7Rv4+PgogcFgqKio6NChQ2Pl2Siio6OVso/i4mKDweDp6dlYPcfGxtq/L6r10/CJEydOnTq1IUfR6/WnT59W4ujo6C5dujSkN2fUY8SqqqrUOW9uRFk7zGaz2b+qUSubzdYob3TR5siyzB+IC+KiuyylChkupXkuesO/Ua7WgWxrdV9Rt7g6B1mWuZcDftUKK10aSDkji8VS80aOW3oXxEV3ZdzSu6DWcNEb998cll4CAABAa2Q/QUsj3oVfunRJjYcPH15n+yFDhqhxZmZmtUd79eqlxq+//rpa0t5K+Pr6qnHj/sTHZrNZ7VR7dPjw4Zs2bZo2bVoDf2SQlZWlxg888EBDunJS040YAAAAAAAAAKCVYEYZAAAAtEadOnVS4+Li4sbq9sqVK2rctWvXOtvbz2KSnZ1d7dGwsLBu3bopfaampk6ePHn48OFjxozp0aOH47lqGoUsyzk5OWlpaadPn75y5UpeXp7RaLRvYD8zR1lZWefOnZs6JcV33333hz/8ITAwsIH92Fc1hYWFNbA30YpHDAAAAAAAAADQbCiUAQAAQGsUFBSkxvYFEw109epVNbavxbkR+9WU7ItsFJIkJSQkzJkzp6qqStlz5MiRI0eOCCECAgIGDx48aNCgiIiIpliS6fjx4+vXr79+/bqT7U0mUyMePSkpSavVqptWq7WoqOjIkSMffPCBMtnM0qVLZ86c+fDDDzfkKLm5uWpsP9dL/TTRiHl7ew8bNsxxm8LCQiGEVqt1d3d38uguSJmdSKPRNOJSa2jl7KekkiTJfiIxtG82m81isXDRXUq1afnd3NxafG17NBvlnqp5LnrDD1GtA0nDC7W6OgdZkpjDHvhV+/v/TjkjNzc35e2txWJRf3DC3Z1L4ZbeBSkXXd3klt51qO/mWsNFb9zln/gIEgAAAK1Rt27d1PjChQuN1a39lzTOfB+v0fz6OW+12UcUwcHB77///qZNmw4cOGC/v7CwcO/evXv37hVC3HnnnU8++WRISEj98/6tDRs27Nmzp7F6q4dqb4q0Wm1QUNCjjz46fPjw+Ph4g8EghFi/fn3v3r3tV6e6WfalKg385KXpRqxLly6rVq1y3GbmzJlCCA8PD2dqs1xWeXm51Wp1c3Pz8fFp6VzQTCoqKtQqQ0mS+ANxHSaTqaysTDhXsYr2wWw2269p2KFDB8oiXUdBQYEQwtvbuxm+SMur1wf3v72zrXaXywu1OklTRx2MfT09AI2mQX8RLf59ZE3KhyQdOnRQbuT0er36UYlWq+XuznUYDIby8nKNRsNFdx1Go1Gv16ubPj4+mrruCtA+2Gy2oqIi0Touunqr2SiZcK8PAACA1sh+XaTCwkK9Xt8oX5/bf0CvzmTggP1aPB4eHrW28fb2fu655+Li4k6ePHn06NHk5ORqJTUpKSkpKSmxsbHTp09v+Odchw4dUms+NBrN2LFjhw4d2rVrV+U7J0mS1EPk5ubOmjWrgYe7KUFBQQkJCX/5y1+Uzb///e/vvfdevT8rt59/xWw2e3p61q+f1jxiAAAAAAAAAIBmRqEMAAAAWiNPT8+ePXtmZmYqm6dPnx4yZEjDu+3cubMa6/X6OhdFqqioUGP72p2alCV4hg0bJstySUnJxYsXv/3222+++UYtx9m5c2dISMjIkSMbkL6wWq3r169X4k6dOq1evdrf399B44Ycq34iIiJGjRp18OBBIURhYWFSUtLEiRPr15X9gJeVldWvUqr1jxgAAAAAAAAAoDkxJxIAAABaqUcffVSNt23bJstyw/vs3r27Gufm5tbZ/tq1a2ocGhrqzCEkSfL39x84cOCf//znxMTEuLg49aENGzbYT1FTD7m5uWrtzvPPP++g5kP8NvnmNGPGDDXevHmzurTKzbJfrCo7O7t+nbSJEQMAAAAAAAAANBsKZQAAANBKDRkyRF3t6OLFi2fOnGl4n/a1F999912d7ZOTk9W4R48eN3s4nU43fvz4mJgYZbOyslJZ0vVG6iwGunz5shr37dvXceMTJ044l2Yj8/HxiY2NVWKbzbZ79+769RMWFqbGyhQ19dAmRgwAAAAAAAAA0GwolAEAAEAr5ebmNnPmTHVz+fLlRqPxpnooLS29dOmS/Z6goKDAwEAlPnDggMFgcPB0s9msFnm4u7uHh4ff1NFVw4YNU2O9Xl/tUY3m13tyi8XiuCv7EdBqtY5b7t+//yaybFQTJkxQ461btzoe5xvx8fFRS1tSUlLqN91LWxkxAAAAAAAAAEDzoFAGAAAArdf999+vlkoUFxcvWrTI+ZKLU6dOPfPMMzULUyZNmqQEsix//PHHDnpISkpSyyweeeQR+4qWm2I/i0zHjh2rPerp6anG+fn5jrtSq3yEENVqgKrZtGlTnWU3TcfHx+fhhx9WYpvN9sUXX9Svn6lTp6rxihUr6rFwVVsZMQAAAAAAAABA86BQBgAAAK2XJEmLFy/29fVVNjMyMp566qmMjAzHz9Lr9atWrbpRVc2oUaP8/f2VeNeuXTeaROTw4cObN29WYg8Pj8cee6xmm08//fTUqVNWq9VBMlVVVR999JESe3p62tdtKHQ6XYcOHZT4+PHjDroSQoSGhqrxu+++W2thhyzLn3zyyd69ex131dTUgiQhxObNm292NiBFZGTknXfeqcRnz5597bXXHFRKVVRU/Otf/6q2sw2NGAAAAAAAAACgGVAoAwAAgFbN29v73Xff7dy5s7Kp1+tffPHF+Pj4b7/9Ni8vz2w2K/utVmtpaemPP/745ptv/s///M/Bgwdv1KFWq/3b3/6mbq5Zs2bZsmXZ2dlKCYXVar18+fKKFSveeusttc1LL71kP++L6sKFC4sWLZo0adKGDRtSU1OLiors8ykuLj506NCzzz5bXFys7Jw1a5YkSTX7GTlypBKcPXv2888/1+v1sizXmryPj8/dd9+txDk5OfHx8ampqWrtSGVlZWpq6rx587Zs2SKEmDhx4o0GoRn4+fmNGjVKia1W6759++rXz4svvqgWNqWkpMyYMePzzz8vKChQ6pNkWa6oqDh37tyaNWumTJny2WefVXt6GxoxAAAAwMX5/677s4e3dOnfp6UTAQAAQDuna+kEAAAAgDr4+vquWbNmzZo1X3/9tbInJyfnzTffdPwsjUYzY8aMiIiImg/17NkzISEhISFBWcrn2LFjx44du1E/L7zwwsCBAx0cyGQy7dmzZ8+ePY7zGT169B/+8IdaHxo/fvznn3+uxBs3bty4caOSv1pVk5iYqNP9cus+Z86c1NTU8vJyIcTVq1fti37sxcfHR0VFbd++3XFWTeqJJ55QK5Y++uijMWPGuLu732wnSqXUSy+9lJOTI4SoqKhQh8hJbWjEAAAAAAAAAABNjRllAAAA0Aa4u7v/v//3/1atWhUdHV1nY51O97//+7/btm175JFHNJra73ijo6Pff//9vn37OugnJCRkw4YN9913X/1yVvn4+MyfP3/27Nm1TicjhAgKCvrLX/5S7VGbzWb9L/v93t7e69at6927940O5+npuXjx4tGjRzcw7YYLDAy85557lNhkMn355Zf168fHx2f16tVxcXFqtVCtoqKi1q5dW3N/GxoxAAAAAAAAAEBTY0YZAAAAtBlhYWEJCQl6vT49Pf3UqVPnzp27du1aSUmJm5tbQEBAr169wsPDIyMjw8PDtVptnb35+/svX778+vXrR44cOXPmTHp6enl5ube3d58+ffr16zds2LDu3bs77mHBggX5+fmXLl3Kysr6+eefr169mp+fX1VVZbPZfH19Q0JC+vXrFx0d3bt37xvV66juvvvubdu2ff/998ePH8/KysrLy1OWgqqVr6/vm2++ef78+UOHDqWlpSlTrQQHB/fr12/o0KHR0dFubm51nn7zmDp16uHDh5X4gw8+iImJqV9uGo1m/Pjx48aNS01NPXny5JkzZ7Kzs00m0y233NKjR4+oqKi77rorODj4Rk9vQyMGAAAAAAAAAGhSkizLLZ0DAAAAALRbM2fOPHHixOzZs+Pi4lo6l9arvLzcYDB4eHj4+Pi0dC5oJhUVFVVVVUqs0WhuueWWls0HzcZkMpWVlUmSFBAQ0NK5oJmYzebS0lJ108/Pz/EscWhPCgoKhBC+vr7NUJdcuDXJVmW42Wdp3DQ+Ab88S5I0uqHh6kNWN68qd1uj5dcufH7yljJj7dNkKoLNtifGRBqNv/wXP3nuzCf+3+xmSQ0tz2g0Wq1WNzc3foegCu2o02lu+BuYOvXOz9FazY2YT8Nlfm0sv17Vd9YfvbrcIoTQ6/VGo1F5SKfT+fn5tWh2aD4Gg6G8vFyr1fr7+7d0LmgmRqNRr9erm7fcckudPwtE+2Cz2YqKikTruOgVFRX33nuvEOLTTz8NDw+vs71jvCkFAAAAAAAAALRtAVMebdwOdUJQwFvNE4PqbqPV/lpJ09MnaFxo/yZMCK1JWVmZyWTy8vLq0KFDS+fSXvi3uj+fXhEtnQEAAI2EUi8AAAAAAAAAAAAAAAC4BGaUAQAAQKtjMBimTJmixHPmzBk5cmTL5tOmudRgnj9/fsGCBUq8du3aW2+9tWXzAQAAANoWi61ECLmxeiupMv9cWOFMywCdsZPGKIQwlVhl11vwyr1rZ4nligAAAJoRhTIAAMAlTJkyxWD4ZeH5HTt21LmapsFgeOmll7Kzs5VNf3//f/7zn6y13JysVqsS2Gzt+VPSm31l1o+LDKZCPVlZbrTP9wEAAAAXUWDcKcvmBnUhWdVwx0/X/r/3jjnzpJf6lUyw7BFCXN4hG3KKG5RAG9Tjw3c9Qru3dBYAAAAuhEIZAADgEqxWq/r1eZ3Ky8tfeOGFvLw8ZTM4OPjtt9/28WF5ejS+m3plAgAAAAAAAACABmqSX6wCAAC0XSUlJfHx8WqVTPfu3VetWkWVDAAAAAAAAAAAQDtAoQwAAMCv8vPzZ8+eXVz8yzzPPXv2fPvtt729vVs2KwAAAAAAAAAAADQKCmUAAAB+ceXKlfj4+PLycmUzMjLyjTfe8PDwaNmsAAAAAABo987klHg+9kFK/rWWTgQAAADtn66lEwAAAGgVfv755xdeeMFqtSqbgwcPXrhwoVarbdmsAAAAAABwBbIQZqtNlls6DwAAALgACmUAAABEenr6Sy+9JP/3A7l77733hRdekCSpZbMCAAAAAAAAAABA46JQBgAAuLoffvhh8eLF6uaYMWNmzZrlZJWM1Wo9ffr0jz/+eObMmUuXLlksloCAgMjIyN///veDBg1yd3e/2WSsVuupU6eOHj165syZ69evWyyWfv36LVu2rNaWx48fT05OPnnyZElJib+/f+/eve++++7BgwfX47hNodEHp5kPJ8tyWlra4cOHf/rpp8LCQi8vrz59+gwaNGjEiBHe3t6Nm7wzrl+/fuLEiZMnT2ZnZxcUFGg0mqCgoPDw8DvuuCM6Ojo4OLhRjiLL8qVLl3766aczZ85cuHChqKhIp9N17969V69eAwcO7N+/f/0uXGMNptVqPXHixPfff5+amlpcXOzn59enT59hw4bdddddN5tY84wnAAAAAAAAAKC1oVAGAAC4tG+//fbNN99UNydOnDh16lRnqmRkWd63b9+mTZuMRqP9/tzc3Nzc3P3792u12mefffbBBx+8UW/Xrl2bNWuWEi9ZsiQyMjIjI2PJkiVlZWX2zcxmc83nnjp16u9//3tFRYW6Jz8/Pz8//+jRox4eHn/961+jo6PPnz+/YMEC5dG1a9feeuutNc/9n//8pxJv2bLFcb3CqVOnXnnlFSXesGFDUFCQg8YNH5yb0hTXIi8v75VXXsnLy1PbmEym5OTk5OTktWvXzps375577ml45k7S6/Vvv/12SkpKtf05OTk5OTnffPONECIiIuLpp5/u1atXvY9SUVHx5Zdfbt++vdor0GQyZWRkZGRkfPHFF5IkzZ49OyYmxsGFa7rBPHfu3JIlS/R6vbqnoKCgoKBAedkvXLhwwIABzvTTPOMJAAAAAAAAAGidNC2dAAAAQIvZv3+/fZXM9OnTp02b5kzpRmVl5fz589etW1etMsOe1Wpdt27d0qVLrVZrrQ1kWbb+lxAiJSXlxRdfrFajUKvPP/980aJF9lUy9oxG46uvvnro0CElB4Vc2zLv1RKok+PeVI0yOM5rimuRmZk5c+ZM+8KOao3feuutvXv3NjBzJ5WWlj7zzDM1qzqqSU9PnzdvXlVVVb0PtGDBgk2bNjl+BcqyvGbNmoSEBJvN5qBNUwzmwYMH58+fb18lY89oNC5evFipcXGs2cYTAAAAAAAAANA6MaMMAABwUTt37vz3v/+tbs6ePfvBBx905olGo3Hu3LnXrl1TNoOCgqZPn96/f/9OnTpJkmQ0GjMyMjZu3JidnS2ESElJWbFihTqzy42cOHEiKSlJCNGzZ88nn3yyZ8+eXl5esixfv3796NGj1Vpu3LhR3RwzZswjjzzSuXNnjUZjNBovXLjwr3/9KzMz85///OeECROcGohG1RSD08yHS0tLS0xMlGW5b9++06ZNCw8PV65FQUFBYmLi/v37lWbr1q0bOnSon59fvZN3UkJCQmVlpRIPHTo0Nja2W7du3t7ekiTZbLby8nJlEhQ1sQYKDQ0dN25cREREQECAl5eXEMJqtRYXFycnJ3/wwQcGg0EI8cMPP2zZsmXq1Kl19tZYg5mWlrZq1Sp18/777584cWKXLl00Go3BYMjMzNywYUN2dvaKFSvqfNk383gCAAAAAAAAAFobCmUAAIDLkWX5o48+SkxMVPfMnz9/xIgRTj591apVamXGQw899Mwzz2i1WvVRT0/P/v37r1y5cu3atQcOHBBCHDlyZMyYMZGRkQ763LlzpxBi/PjxM2bMUKe0kSSpS5cu9l/8m83mN954Q91cunRpVFSU/aFvv/32FStWbNy4cc+ePTt27HDyjBpRUwxOMx9u69atQohp06ZNmDDB/loEBwfHx8eHhISohUo7dux46qmn6pe5k65cuZKZmanETzzxxOTJk+0f1Wq1vr6+vr6+d9xxR1xc3O7duxtyrIEDBy5cuLB79+7V9ut0uqCgoIcffnjUqFGvvPJKenq6ECIxMXHs2LH+/v6O+2yUwbRarcuWLVM3X3755cGDB6ubXl5ekZGRK1euXLVq1VdffeX4Zd+c4wkAAAAAAAAAaJ0olAEAAC5n5cqVyspEisWLFw8YMMDJ52ZmZn777bdKPHjw4JkzZ9a6VJNGo4mPj8/IyMjKyhJCvPPOO++9957jRZ2ioqLsq2RqtX//fmVKDyFEfHy8fZWMSpKkZ5555ueffz59+rRz59Romm5wmvlwI0eOnDhxYq0PjR07dteuXfn5+UKI/fv3x8XF1SNz550/f16NHc+V4uXlNWnSpIYcKy4uznEDDw+PV199dfr06coqV/v27ZsyZUqd3TZ8MA8ePKguNBYXF2dfJaPSaDRz587Nysq6ePGig2SaYjz1ev3hw4cdtzGZTEIIi8XiYIEwKGt12Ww2Rsl12C+HJ8syl951WCwWJeCiu45qy1+aTKaGr7+JtsVsNjtYuxMQQsj/fYU4Xuq3vTKZTKLt/7eo/JlbrVb+i3cd9v+2c0vvUpRbei66S1HfxylMJlOTfiiK1kO9N2sNF139N6dR7hgplAEAAC5HrZKRJOn111+PiIhw/rkff/yxGs+dO9fBraEkSXPmzJk3b54QIj8///Lly7fddpuDnmfNmlXnjaY6C07Hjh1HjRrl4NAzZ858/vnnHffW6JpucJr5cA7miZEkKTY2dv369UIIg8FQVFQUEBBws5k7r7CwUAk8PT3d3Nya7kBO8vb2jo2NVeaJcbJQpuGDuW3bNiXw8vIaN26cg97i4+OVq3wjTTGe+fn5r776quM2PXr0EEKYTCa9Xt8oB23HzGaz2Wxu6SzQAmRZ5g/E1XDRXZm6DCJcBxe9DZG9W6ZOxcXr5yoqKozt5b9Fk8mk/FQArsZqtXJ352psNhsX3WWVl5e3dApobq3hoqtvKxqlUEbT8C4AAP8/e/ceHlV1L3x87ZlJMkkMkxgIILcIAbkYMNwsN0Fagyi8ImKV9gE0rYLQEHoinJdqq2B96tOWykWDgZ70UYtUguAF34BiAYEjhXCJBJAQEBIIIeR+mcxMMrPfP3bdZ04uO5NkLknm+/nD57f3rFn7N2vN4EzmN2sB6Lxa9WV5bW1tZmamEk+dOjUsLEy7fUxMTHBwsBJ/8803Gi2joqL69Omj3VtxcXFZWZkSP/744857DDUWHR3t0QKOxjw3OF6+XFxcnHZvzpVVpaWlLqXbVmomFotFXVXFt+Li4pSgrKxMXd9Io3E7B7OkpEStbpkzZ4720z4mJqZbt24aDTrgeAIAAAAAAAAAvIxCGQAA4Hd69+6tBLIsJycnX7582cU7Knv3KKZMmdJie0mSYmNjlfi7777TaOlKb85XV4sV2tmnG3lucLx8uXHjxml3ZTKZ1Li8vLzFS7fH4MGD1fiNN97oCL/EdX74FRUV2o3bP5jOEz127Fjt3iRJmjZtmkaDDjieAAAAAAAAAAAvY+slAADgd/785z+/9NJLyhfwSq3MX/7yl4EDB7Z4x+vXr6tx//79XblWv379jh8/LoS4ePGidrMWu7px44Ya9+jRo8X2rjwiN/Lc4Hj5cr169dLuJzAwUI09vaB0dHR0nz59lKnPysp6+umnJ0+ePHPmzEGDBoWEhHjiirIs5+fnZ2dnnzt37saNG4WFhQ12m3begLyysrJnz54avbV/MAsKCtQ4KipKuzfxwyZHzfH+eAIAAAAAAAAAOhoKZQAAgN8JDQ3905/+9OKLL167dk0I4XA4/uM//sOVWpn8/Hw1Xr58uU6nEz9shynLshoofSqBus96VVWVLMuSJDXZc0RERItp37p1S41d+VLfy1sveW5wvHy5oKAg19PwNEmS1qxZk5iYWFtbq5w5cvmPBrYAACAASURBVOTIkSNHhBCRkZHjx48fN27csGHDQkND3XK5EydOpKamFhUVudi+xTqh9g/mzZs31diVp3337t01bvXEeA4YMGD//v3abVatWiWECA4OvvPOO13v2d/U1NRYrdbAwMA77rjD17nAS8xms7qDm06nCw8P920+8BqbzaZsbc6/iv6jvr6+srJSPezWrZvBwN8k/YWyvWZYWFirNr2FDxVZJVn2wXXVfxZa9cGwyzCZTEGd/3+LVVVVdXV1RqOR3yH4j+rqavUvAwaDQXs3ZHQlVqu1pqaGz3F+Rf0cpwgPD1f+Hosuz+FwKAuBd4RJV//a7JZM+FAKAAD8UVBQkFIrk5eXJ36olVm/fn10dLTGvdQv14UQ6nd7buHKVwXORQmuvBH0csGH5wanI1zOh6Kiov72t7+lpaV98cUXzudLSkoyMjIyMjKEEGPHjn3mmWdcXFmnOVu2bNmzZ0+7cvUAtz/t3T6eer2+xb8KKX/rlyTJ5x8mOzJGyQ81+BqMqfcfylzzevcrjV/vzL6/YdLRMr+sj1F1jdcIb+n9EG/p/Ravdz/EW3p0hEl3bwIUygAAAD9lNBr//Oc/JycnK2uTOByOFStWaNfK+PaXr84/wXQ4HHq9Xru9p3cFasDLg+NXv0IOCQn51a9+lZCQcObMmaNHjx4/frzBdkiZmZmZmZlz585dtGhR235/efDgQbVKRqfTzZo1a8KECXfddVdoaKjBYJAkSe22oKBgyZIl7XxErnPem8mVp32DkWmSF8YTAAAAAAAAANBh+dEXDAAAAA0YjcZ169Y518r8+te/Xr9+/YABA5ps37NnTzXevn27u/a7cZHz1Wtra1tcurykpMT1zuWWFtdW9y1qjpcHx7dz4RMhISETJ06cOHGiLMvl5eVXrlw5fPjwoUOH1KnZtWtX//79p0+f3tqe7XZ7amqqEnfr1m3Tpk0ae4G1+ExwL+eJNpvNJpNJu73rT3vPjScAAAAAAAAAoCNjTSQAAODXlFqZvn37Kod2u33FihXKfkyN3X333Wp8+/Ztb+TnpE+fPq26+tWrV7UbOC/O0WL1Q3FxsXYDLw+Ob+fCtyRJioiIGDNmzIoVK9LT0xMSEtSbtmzZ4nA4WtthQUFBTU2NEi9fvlyjSkYIcevWrdb23x7OT/uioqIW21+5cqW1l3D7eAIAAAAAAAAAOjIKZQAAgL8zGo1/+ctf1O/j7XZ7UlKSssZMA867Mp08edI76amc17k5c+ZMi+2//vpr7QbdunVT46qqKu3G2dnZ2g28PDi+nYuOw2AwzJkzJz4+Xjk0m82lpaWt7eT69etqPHToUO3GXh5t54k+depUi+0PHDjQnsu5ZTwBAAAAAAAAAB0ZhTIAAADCaDS++eabLdbKmEymYcOGKfGOHTvq6+u9mWSPHj3CwsKUePfu3doLXeTn57e4zkr37t3V+Pvvv9doabPZDh48qN2blwfHt3PR0UycOFGNW6x5asxqtaqx8zpDTbbct29fa/tvj+7du6sr3OzevVt76aPc3NyKior2X7Sd4wkAAAAAAAAA6MgolAEAABDih3Vl7rrrLuWwvr4+KSnpxo0bDZotXLhQCWpra7du3erNDCVJevLJJ5W4srLy0KFDzbWUZXnLli0tdhgVFSVJkhJ/+umnGi0//PBDVzag8fLg+HAuOhrnVU/uuOOO1t7duWSquX3HFGlpad6vSXrqqaeUwGw27927t7lmsiynpKS45YrtHE8AAAAAAAAAQEdGoQwAAMC/BQcHv/nmm9q1MiNGjJg8ebISZ2RkpKWlaS9xIYQoLi5+//33a2pq2p/hI488EhgYqMRvvvnmhQsXGreRZfm9997LyspqsTe9Xq8+lu++++5f//pXk83++c9/pqenu5KelwfHt3PhHTt27Dh79qz246qtrX3//feV2Gg0Ole9uMh5V6+33nqryVIYWZY//PDDjIyM1nbefvHx8SEhIUqcmpp6+vTpxm2UKpnc3FztrrwzngAAAADaYES/cPuuZ8dF9fR1IgAAAOj6KJQBAAD4H0qtTO/evZVDm83WuFYmKSlJbfDxxx8vWLDg888/LywstNlsykmHw1FTU3Pt2rW9e/euWLEiISEhPT3dlRVZWhQYGJicnKwe/ud//mdaWlpRUZHSuc1my8nJ+c1vfvPRRx8JIR577LEWO1ywYIEav/7669u3by8vL5dlWQhhtVovXbr06quvrl+/Xq/Xq4vZaPPy4PhwLrzj8uXLL7300lNPPbVly5asrKzS0tK6ujrlJrvdXlZWdvDgweeff76srEw5uWTJEnWVINeFhYVNmjRJifPz85ctW5aVlWWxWJQzZrM5KysrOTl527ZtQoh58+a54YG1hsFgWL16tXr4yiuvbN68ubCwUH3aX7hwITk5WdkTSvtp753xBAAAAAAAAAB0ZAZfJwAAANCxKLUyK1asKCwsFD/UymzcuFFdaSYoKGjDhg2vvfba2bNnhRDV1dWpqaleS2/ChAkLFy587733lMOPP/74448/btwsMTFxwIABn3zyiXLY3Jf9vXr1mj9//vbt25XD7du3q7GzN954w2azubKujJcHx7dz4TU2m23Pnj179uzRbjZjxowHH3ywbZdITEzMysqqrq4WQty8efO3v/1tk82WLVs2atSonTt3tu0qbTZq1KgXXnhh8+bNymFGRkaTa9skJiZGR0erT/vmeGE8AQAAAAAAAAAdFivKAAAANBQSErJ+/fpevXoph0qtjFI3ozAajb///e9ffvllk8mk3ZUkSfHx8Zs2bQoLC3NXevPmzXvllVeMRmOTt+r1+t/85jcPPfSQ87opBkOz5dFPP/30kiVLmru1e/fub7/99j333ON6el4eHN/ORQcRFha2cuXKpUuXtnn5k5CQkM2bNw8ZMqS5Bkaj8dVXX50xY0Zbc2yvmTNn/uEPfwgNDW3yVoPB8NJLLz300ENuuVb7xxMAAAAAAAAA0GGxogwAAEATlFqZpKSkW7duCSGsVmtiYuKmTZvU6hlJksaPH//ee+/l5eWdOHHi0qVLOTk55eXlQoioqKh+/foNGjRo5MiRQ4YMCQgIcHt6Y8aM+eCDD44dO3b8+PGsrKzy8vLw8PDBgwdPmjRpwoQJSg1NRUWF2r658gLlgTzyyCNTpkz5+uuvT5w4cfHiRbPZ3L179xEjRkybNm3UqFF6vb616Xl5cHw7Fx61atWq27dv5+XlXb169fvvv7958+bt27dra2sdDofJZOrfv//w4cPj4uKGDBmi07W3At5kMv3pT3+6dOnSwYMHs7Oz8/PzhRBRUVHDhw+fMGFCXFycz0dvxIgRf//730+cOHHs2LHTp0+rT/vJkyf/6Ec/aq50zJk3xxMAAADojPRSmCzq3NVbWJD+LlPLb9SFECFBgSKwuxDCEOkIqOtkH9zaTzK0+nM3AAAA2kOSZdnXOQAAAMD9Pvroo3fffVeJP/nkE9bGAHxl8eLFJ0+eXLp0aUJCgq9z6biqq6stFktQUFDXW/MJzampqamtrVVinU535513+jYfeI3NZqusrJQkKTIy0te5wEvq6uqca7jDw8M11jtEF1NcXCyEMJlMPq+6hteEhoaazWYlfvnll1977TXf5gOvqaystNlswcHBGr/VQRdTVVVltVqV2GAwhIeH+zYfeI3FYqmurtbr9REREb7OBV5itVqrqqrUwzvvvJOfmfkJh8NRWloqOsak19TUTJ06VQixY8eOgQMHtrM3nsEAAABd0+HDh5UgOjqaKhkAAAAAAAAAAADB1ksAAMBzLBbL/PnzlTgxMXH69Om+zcevFBcXX7lyRYkfeughjZaXLl1atWqVEqekpPTu3dvjyXVynW7E/OqV2OlmBwAAAAAAAADgZRTKAADQxc2fP99isTR5k16vDwsLu/vuuwcOHDhu3LiYmBi93s27YtvtdiVwOBzu7bnr0ZgpDT169NiyZUuDk7Isp6SkqIfjxo3T7kSdJjbldJEbR8x53j/66CMPLV/pV69Ens8AAADo2uRv1svWSl9n0SzJUafGn2bfuvruCR8mgya99Gh59zuqmrxJuqKvXH84bNrE7j+b6+WsAAAAvIlCGQAAuji73a5+bdz4ppKSkpKSkszMzB07dgQHBy9evPjBBx9kmx6f0Jgp7Xs1PvPXv/41MzNTOZwwYUKvXr3ckB88o23zDgAAAMBvyRXXRW2pr7PQ8D8F67dr6s4XNl2QAR+qtZXXOZp+CulFaO3FXOPQGC+nBAAA4GUUygAAgH+rra1dv379V199tWbNGoOBNwmdgyzLsixLkmS32ysrK8+cObNt27aioiLlVr1ev2TJEt9mCAAAAAAAAAAA0HHwHRgAAH5k9+7dzpsrybJstVrz8vK2bdt2+vRp5eTZs2c3bdr061//2kc5QohGM+VMluXHHntMPSwuLnY+dGYwGP74xz9GRER4JEUAAAAAAAAAAIBOiEIZAAD8SIM9lSRJMhqNQ4YMWbNmzZ49e7Zs2aKcP3DgwKxZswYPHtzOyxmNxk8//bSdnfin9u9+FRcX9+KLL4aFhbklHwAAAAAAAAAAgK6BQhkAACCEELNmzTp16lRmZqZyuGvXrv/8z//0bUpokiRJH3744ffff3/hwoXc3Nzr16+XlpZWVVUZDIbu3bsPHTp06NChEyZMYCEZAAAAAEAnYim6dmHD84OfW3dH9L2+zgUAAABdHIUyAADg3xYsWKAWyhw9elSW5favawJPCA4OHj58+PDhw32dCAAAAAAAbiLLsr1eyLKv8wAAAEDXR6EMAAD4t/79+zsfVlRUhIeHa9/FbrefPXv26NGj58+fLyoqqq+vHz58+Ouvv96eNGRZzs7O/vrrr7/99tuSkpLg4OB77rln3LhxU6ZMCQkJaVVXDofj4sWLZ86c+e677y5fvmyxWMLCwmJiYu67777777+/e/furnRit9vPnTt3+vTp8+fP5+Xl1dfXR0ZGxsbG3nfffePGjQsMDGzTo/Qeu91+8uTJY8eOZWVllZWVhYeH33PPPRMnTrz//vs7ZvKyLOfl5X377bfnz5+/fPlyaWmpwWDo27fv4MGDx4wZM3LkyDan7eLTtcOOWFFR0cmTJ8+cOXPt2rXi4mKdTtejR4+BAwfee++9cXFxUVFRbrmKh8bfXa9rN86Od8YTAAAAAAAAANDRUCgDAAD+Ta/Xh4SEmM1m5bCmpsa5UObWrVtLlixR4rVr18bGxubk5Kxdu7aystK5k7q6OjW2WCzz589X4sTExOnTpze4YuM+CwsLf/e73xUWFqptbDbb8ePHjx8/npKSkpyc/MADD7jyWGRZ3r9//1//+tfa2lrn8yUlJSUlJf/6179SU1PHjh37/PPP9+rVS6OTvXv3pqWlWa1W5/MFBQUFBQX79u3T6/XPP//8ww8/3GGX3rl48eLatWurqqrUM8XFxcXFxUePHg0KClq9evXo0aM17u48g8uXL3/wwQebbHbgwIGNGzcqsSRJ6enper2+cTNZln/2s59ZLBYhxJw5cxYtWtSgQU1NzZdffrlz584GTyqbzZaTk5OTk/P5559LkrR06dL4+HjtMW/D01XRzhHzkKqqqjfffFNd8EmVn5+fn59/6NAhIcSwYcN++ctfDh48uM1Xcdf4e+517a7Z8c54AgAAAAAAAAA6Jp2vEwAAAJ2DLMv2HwghMjMzX3zxxQZfqDem3sXhcLTYZ25u7uLFi52/TW/Q+M9//nNGRkaLqdbU1CQnJ2/atKlBlUwDmZmZzz//fHO3ms3mlStXbt68uUGVjDO73b558+bXXntNyb+j2b9//8qVK52rCpxZrdZXX31VqQlojtFo7NOnjzJBhw8fbq7Z4cOH1Xmsr6+/fv16k81u375dU1OjNBszZkzjBqtWrUpLS9N+Usmy/Pbbb69Zs6bJZ5RzszY8Xds/Yp5QUVHx3HPPNa7qaODChQvJycnaz3lt7hp/D72u3TU7XhtPAAAAAAAAAEDHxIoyAADg3+x2u7qcjBAiNDS0uZYnT57cvXu3ECImJuaZZ56JiYkJDg6WZbmoqOjo0aNtu3p2dnZ6erosy0OHDl24cOHAgQOVPouLi9PT0/ft26c027x584QJEzT2hKqtrU1MTCwuLlYOjUbjT3/608mTJ0dGRhoMBlmWq6qq8vLyvvzyy4MHDzbXidVqTUpKunXrlnLYo0ePRYsWjRw5slu3bpIkWa3WnJycrVu3Xrt2TQiRmZm5bt26VatWte2Be0h2dra6yosQ4sc//vG8efN69eql0+ksFktubu6WLVuuXbu2bt26J554QqOfadOmvffee0KIzMxMu93eeKkYu93eoObg9OnTAwYMaDIlNY6JiWnuigMGDJg9e/awYcMiIyODg4OVS5SVlR0/fvzdd99VFqQ5derUtm3bFixYoJG5ysWnq7tGzO3WrFmjvjAnTJgwd+7cPn36hISESJLkcDiqq6uVRVDU10g7uXf83fW6duPseHk8AQAAAAAAAAAdDYUyAADg3/Lz850PTSZTcy137dolhJgzZ86zzz6r7sAiSVKvXr3aXEOwfft2IcTChQufeOIJ5z6joqKWLVvWv3//rVu3Kic/+uijX/ziF831s27dOrVKZtSoUatXrw4JCVFvlSTJZDLFxsbGxsb+4he/+OCDD5rsZOPGjWqVzCOPPPLcc885F4gYjcaRI0du2LAhJSXliy++EEIcOXJk5syZsbGxbXvsbme3219//XX18OWXXx4/frx6GBwcHBsbu2HDho0bN/7zn//86KOPNLoaPXq0UigjhMjPz4+Ojm7QoPH6MQcPHpwzZ07jro4cOaIEAwYMMBqNjRuMGTNm9erVffv2bXDeYDD06NHj0Ucf/clPfvK73/3uwoULQoj09PRZs2ZFRERoJK9w5enqxhFzrxs3buTm5irxz372s6efftr5Vr1ebzKZTCbTvffem5CQ8Omnn7bnWp4Yf7e8rt04O94cTwAAAAAAAABAx8TWSwAA4N+2bdumxvfff7/6rXaTRo0a5Vx24BbTp0+fN29ek33OmjWrR48eSrxv3z5ZlpvsITs7+/jx40ocExPz6quvOlfJNGAymV544YXG53Nzc9VthsaPH7948eLGy6gIIXQ63bJly9TCkfXr1zeXVRvMnTv3cdfcvHmz8d33799fU1OjxAkJCc5VBc75JyUlDRw4UDsT57VhTp8+3biBejI+Pl4Jrly5oqw74sx54Zlp06Y1ea2EhITGVRrOgoKCXnnllaCgIOVw79692smrWny6unHE3OvSpUtqrF2FFhwc/NRTTylrwLSNh8a//a9rN86ON8cTAAAAAAAAANAxsaIMAAAQQoh9+/b961//Ug9bXBhmyZIl7q2SEUJorBMjSdLcuXNTU1OFEBaLpbS0NDIysnEz51qfVatWNVng0iLnZWaSkpI0HqYkSYmJicnJyUKI27dvX79+vV+/fm24YmMOh8PFlk3WFvzjH/9QguDg4NmzZzd3X0mSli1bpuTfHL1eP2rUqKysLCHEgQMHHn/88QYN1B2sZsyYcfv2baVu5vLlyyNGjHBu5rxe0ejRozWuqC0kJGTu3LnKOiV79+6dP3++K/dq8enqxhFzr5KSEiUwGo0BAQFeu25z2jD+7X9du3F2PDGeV65c+elPf6rdZtCgQUIIs9msrneF5litVqvV6uss4AMOh4MXiL9RduLzdRbwjfLycl+nAG+rqKjwdQpdSrjDwe9f0R4af3Ooq6sTQlgsljb/b7q2tra2traNmaEzq6+v592dv7Hb7Uy63yotLfV1CvC2jjDpZrNZCVz/AkUD76gBAPBrNpvtypUrr7/++ttvv62enDRp0tChQzXuFRUV1adPH/dmEhcXFxYWptFg2LBhatzke7Kqqqpz586pvfXq1asNadTW1qoLn0ydOlU7JSFETEyMuubEN99804Yrul1JSYlaDTBnzhztaqGYmJhu3bppd/jAAw8owdWrVxssFWOxWK5cuaLE0dHRkydPVuITJ0406OTMmTNq3L9//xYeg6a4uDglKCsra7x0TWMtPl3dPmJupD4DLRaLuqqKb7Vq/Nv/unbv7HTA8QQAAAAAAAAAeBkrygAA4Efmzp3rvK6G3W5v3GbIkCG//vWvtfuZMmWKmzMTYty4cdoNTCaTGjf5I9SrV6+q8UMPPdS2NJw7ceVhSpIUGxur7Pf03Xffte2ije3evbtty+GI//0Qxo4dq91YkqRp06Z9+umnGm1iY2PVODc3995771UP1SqZESNGBAQEqC0PHDjwzDPPOHeiLjwTFxfX5oemcH4mVFRUGI1G7fYtzqPbR8yNBg8erMZvvPHG6tWrNXYT845Wjb97X9ftn50OOJ4AAAAAAAAAAC+jUAYAAD+ivR6dwWD45S9/+fDDD+t0Law5564Nhpy1uABMYGCgGttstsYN8vLy1Dg6OrptaVy/fl2NXVz4pF+/fkqhzMWLF9t20cbas61VQUGBGkdFRbXYXtkURkPPnj0DAwOVMT9+/LhzoYy6cszUqVOdW5aVlVVUVKg1EM4Lz6irzjRHluX8/Pzs7Oxz587duHGjsLCwwT4szk/jysrKnj17anfY4tPV7SPmRtHR0X369Llx44YQIisr6+mnn548efLMmTMHDRrkoQoP945/+1/X7p0d748nAAAAAAAAAKCjoVAGAAC/FhoaGh0dHRMTM378+KFDhwYEBLhyr4iICLdnEhQU1M4enL9Qd16molXy8/PVePny5UrNkCzLyn/VQAjhcDiUQF2Yp6qqSpbl9tS4uMXNmzfV2JXv/rt3767dQJKkSZMmHThwQAhx4MCBhIQE9SZ1nZiRI0c2aHnhwoUf/ehHyq2XL19W7+K8Pk1jJ06cSE1NLSoqajFtRZOlFQ20+HR1+4i5kSRJa9asSUxMVLd4P3LkyJEjR4QQkZGR48ePHzdu3LBhw0JDQ91yObePf/tf1+6dHU+MZ2RkZIurcH355ZdCiICAAHfNVJdktVrr6+sNBkP7nzboLGw2W11dnRJLkkS9mv+w2+3K5n38q+g/1ElXBAcHt1iajy5D2e/SaDS2c11JOPP5p050dlLz/wgrL1WDwdCG/01bLBa73R4QEOD8iwh0bcrnOCXW6XTq7uTo8urr661WK5PuV5RJVw9DQkJ4Q+InZFk2m82iK046hTIAAPiR9mzo48xg6IhvIZy/s3ex4qcx9etzIYTzX/M7EedxcOUbCFe+k544caJS/lJRUVFeXh4eHi6EqKysLCkpEUIYDIbevXs3aPnNN9+ohTKZmZlKEBgYqLEAyZYtW/bs2dNiMq3V4tPVEyPmRlFRUX/729/S0tK++OIL5/MlJSUZGRkZGRlCiLFjxz7zzDMuroHUHA+Nfzu5fXbcPp4mk+nnP/+5dpuvv/5aCBEQEMDfjzTY7fb6+nq9Xs8o+Q+Hw+FcKMPU+w+bzWaxWJh0v1JXV+f81jooKKhjfqCAJyiFMkFBQW3+jIbGHF3rKwp4n8YTSPnYZTAY2vC/6bq6Orvd3rb7opOqr6+nUMY/WSwWq9XKW3q/YrVanQtljEYjte9+wuFwKIUyHWHS1cXO3ZIJH0oBAPAjXazgtwHnXyzV1dUZjcY2dNIF/mTvPA4Oh6PF0qgGG+s0aejQoWp84cKFCRMmCKetpiZOnKg+tdSWR48eXbFihXJeXXhm0qRJzT0JDx48qFZp6HS6WbNmTZgw4a677goNDTUYDJIkqXcsKChYsmRJizm7zhMj5l4hISG/+tWvEhISzpw5c/To0ePHjzfIITMzMzMzc+7cuYsWLWrby9yH46/NE7PjhfEEAAAAAAAAAHRYnf6rIAAAAMVdd92lxpWVlWFhYW3oxHm9k+3bt3fGHQGcH4LZbG5xFyplVRhtJpMpIiKirKxMCPHf//3fSqHMN998o9w6ceLExi1tNtutW7d69epVUVGhXkK5Y2N2uz01NVWJu3XrtmnTJo39ktS9rtzFEyPmCSEhIRMnTpw4caIsy+Xl5VeuXDl8+PChQ4fUAdm1a1f//v2nT5/e2p59O/7aPDc7nhtPAAAAAAAAAEBHxppIAACgi3DeJ+XatWtt6+Tuu+9W49u3b7c3J1/o06ePGhcVFbXY/sqVK650++CDDyrB0aNHZVmWZfnw4cPKmeHDhzfZ8ttvvxVOC8+I/70yjbOCggJlSXYhxPLlyzWqNIQQt27dciVh13loxDxHkqSIiIgxY8asWLEiPT09ISFBvWnLli3q+pOu8+34a/PC7Lh9PAEAAAAAAAAAHRmFMgAAoIuIjo5W4/3797e/k5MnT7YvI99wfginTp1qsf2BAwdc6Xbs2LFKUF9fX1hYePv2bWW3moiIiPDw8CZbKpU0x44dUw4bt1Rdv35djZsrplG5fV48NGLeYTAY5syZEx8frxyazebS0tLWduLb8dfm5dlxy3gCAAAAAAAAADoyCmUAAEAXERYWpn7Hn5mZ2bZ1L0wm07Bhw5R4x44d9fX1bsvPW7p3766uCLJ7927tjXJyc3MrKipc6TYmJkaNv/322+zsbCWeOnVqcy2zsrKsVqu68Ezjliql5kah1+s10rBarfv27XMlYdd5aMS8yXn3q6qqqtbe3bfjr80ns9PO8QQAAAAAAAAAdGQUygAAgK5jwYIFarxu3bq27ZmycOFCJaitrd26dat7MvOup556SgnMZvPevXubaybLckpKiot9Go1GdW2Pr7/++siRI0o8fvx4jZaffPKJWoQxbty45jrv3r27Gufl5WmkkZaW5onqJU+MmDc5r3pyxx13tPbuPh9/bd6fnXaOJwAAAAAAAACgI6NQBgAAdB2xsbHqvj/ffffd73//e4vF0lzjmpqa//qv/2p8fsSIEZMnT1bijIyMtLQ07UUshBDFxcXvv/9+TU1NWxN3s/j4+JCQbR/3BgAAIABJREFUECVOTU09ffp04zZKVUFubq7r3U6bNk0Jzp49m5mZqcTOK82oHnzwQSXYtm2berLJlooBAwao8VtvvdVkKYYsyx9++GFGRobrCbvOQyPWfjt27Dh79qz2M7C2tvb9999XYqPR6Fz14iKfj782N86Od8YTAAAAAAAAANCRUSgDAAC6lBdffFHdqCUzM/PZZ5/97LPPiouLla/GZVmuqam5ePHi22+/PX/+/E8++aTJTpKSknr37q3EH3/88YIFCz7//PPCwkKbzaacdDgcNTU1165d27t374oVKxISEtLT09u2gI0nGAyG1atXq4evvPLK5s2bCwsLlQxtNtuFCxeSk5OVPXQee+wxF7sdPXp0gzPR0dFGo7Fxy7i4OCWQZVkJBgwYEBwc3FzPYWFhkyZNUuL8/Pxly5ZlZWWpRU5mszkrKys5OVkpu5k3b56LCbvOQyPWfpcvX37ppZeeeuqpLVu2ZGVllZaW1tXVKTfZ7faysrKDBw8+//zzZWVlysklS5ZIktTaq/h8/LW5cXa8M54AAAAA2sDYM3r0G1/dcXesrxMBAABA12fwdQIAAADuFBIS8tZbb/3f//t/8/PzhRA1NTVbt25t7Q5KQUFBGzZseO21186ePSuEqK6uTk1N9Ui6zZg7d67rX8+/8847PXv2bHBy1KhRL7zwwubNm5XDjIyMJtcCSUxMjI6Obq5gqIF+/fo1OKOuHNNiS3U1muYkJiZmZWVVV1cLIW7evPnb3/62yWbLli0bNWrUzp07XUm4VTwxYu5is9n27NmzZ88e7WYzZsxobkZa5PPx1+be2fHCeAIAAAAAAAAAOixWlAEAAF1NWFjYpk2bEhISDAatmuBRo0alpKQ0d6vRaPz973//8ssvm0wm7ctJkhQfH79p06awsLA2ZtyIw+Gwu0xdtaWBmTNn/uEPfwgNDW3yVoPB8NJLLz300EOuZ6XX6xssKqOuHNPmlqqQkJDNmzcPGTKkuQZGo/HVV1+dMWOGy/m2mttHzGvCwsJWrly5dOnSNi9/0hHGX5s3Z6f94wkAAAAAAAAA6LBYUQYAAHRBOp1uzpw5s2fPzsrKOnPmzPnz569du2az2e68885BgwaNGjXq/vvvj4qK0u5EkqTx48e/9957eXl5J06cuHTpUk5OTnl5uRAiKiqqX79+gwYNGjly5JAhQwICArzysFptxIgRf//730+cOHHs2LHTp0+Xl5eHh4cPHjx48uTJP/rRj5rcNUnb5MmTT506pR42XjmmuZYDBgxosXOTyfSnP/3p0qVLBw8ezM7OVtYEioqKGj58+IQJE+Li4rwwzm4fsXZatWrV7du38/Lyrl69+v3339+8efP27du1tbUOh8NkMvXv33/48OFxcXFDhgzR6dpbAd8Rxl9b+2fHm+MJAAAAAAAAAOiYpOZ+ggwAAAAAaL/FixefPHly6dKlCQkJvs6l46qurrZYLEFBQW5cnQsdXE1NTW1trRLrdLo777zTt/nAa2w2W2VlpSRJkZGRvs4FXlJXV1dRUaEehoeHay/9iK6kuLhYCGEymXxedd2llH0vHHW+TqJZof3vM5v//b/4XyatXPrib3ybDxqL6WENCnA0fVt5Xf31akNkRGCf3q3ttrKy0mazBQcHN7cUKLqeqqoqq9WqxAaDITw83Lf5wGssFkt1dbVer4+IiPB1LvASq9VaVVWlHt555538zMxPOByO0tJS0TEmvaamZurUqUKIHTt2DBw4sJ298aEUAAAAAAAAAIBOIuJuX2eg7X82MO0VFhTXly/OO5U7RSDVywAAwA9Q6gUAAAAAAAAAAAAAAAC/wIoyAAAAAJp26dKlVatWKXFKSkrv3q1efLtVLBbL/PnzlTgxMXH69OkevRwAAEDXVvbpPrm+XrtN0EP9RbCk3aY9HAE1Qohah9FWr/fcVRSni4PqHLKnr+KPHIZbtwJdb253moXvc0u//Pw7D+SEjshisdjt9oCAgMDAVjxh0Ab9x+r0RjlQlvuVXHf9XoXnHeVXa9ybidVqrf/hfzQ6nS44OLj9fcYsmhHQLaT9/QAAoI1CGQAAAKCN5s+fb7FYnM+kpaW5vj3zSy+9dP78eeczf/zjHwcPHuy2/NzBbrcrgSx741sH9XIOh8MLlwMAAOjCbr3zrqPGrN2m+0NP2m3VHkwiQAghauxC2D14EcUn17pX2qwev4z/6RkU/vkBo+vtncuVzp0p/HvtCQ8kBfi1Wb3vkMLN3Qwhfb/9zPV73foq4nTKGc9l5S79Zk+gUAYA4AVsvQQAAAC0kb2RQ4cOuXjf8vLys2fPNri7R7MFAAAAAAAAAAAUygAAAABus3PnThdXXjl48KCHcwEAAAAAAAAAAA1RKAMAAAC0l06nkyRJCFFZWXnlypUW28uyvHPnTiVm+3YAAAAAAAAAALyGQhkAAACgvUJCQuLj45X4888/b7H95cuXKysrhRA6ne6RRx7xbHKdh9Fo/PQHP/nJT3ydDgAAAADvqai68ffPni0qyfF1IgAAAOj6KJQBAAAA3ECtd9m/f7/NZtNurBbTzJgxo2fPnp7NDAAAAAA6PFkIh8MuhEtb2QIAAADtQaEMAAAA4AbR0dERERFKnJmZqdHSarV+9dVXSjxz5kyPZwYAAAAAAAAAAH5g8HUCAAAAQFcgSdK8efO2bt0qhNi5c+fEiROba6mW0URERAwYMODcuXOuX0WW5by8vG+//fb8+fOXL18uLS01GAx9+/YdPHjwmDFjRo4cGRgY6Hpvdrv95MmTx44dy8rKKisrCw8Pv+eeeyZOnHj//fe3qp8GfZ47d+706dPnz5/Py8urr6+PjIyMjY297777xo0b1+ZuW7zo2bNnjx49ev78+aKiovr6+uHDh7/++usNmrl39AAAAAAAAAAAnRGFMgAAAIB7PPDAA0qhTG5ubklJSWRkZJPN0tPTleDJJ5+UJMnFzmtqar788sudO3dWVlY6n7fZbDk5OTk5OZ9//rkkSUuXLo2Pj3el24sXL65du7aqqko9U1xcXFxcfPTo0aCgoNWrV48ePdrF3BSyLO/duzctLc1qtTqfLygoKCgo2Ldvn16vf/755x9++OHm0rNYLPPnz1fixMTE6dOnN25z69atJUuWKPHatWtjY2NzcnLWrl3bYFjq6uqcD90+egAAAAAAAACAToqtlwAAAAD3MJlMI0aMUOIDBw402aa4uPjKlStKPGXKFNc7X7VqVVpaWoM6jwZkWX777bfXrFnjcDi0e9u/f//KlSudq2ScWa3WV1999dChQ66nZzabV65cuXnz5gZVMs7sdvvmzZtfe+01u92u0UbR3EOQZVltI4TIzMx88cUXtYdFuHv0AAAAAAAAAACdFyvKAAAAAG4zb948ZSulXbt2PfHEE43XJvnqq6+UIDY21mQytbb/AQMGzJ49e9iwYZGRkcHBwUIIu91eVlZ2/Pjxd99912KxCCFOnTq1bdu2BQsWNNdJdnb2xo0b1cMf//jH8+bN69Wrl06ns1gsubm5W7ZsuXbt2rp165544glXsrJarUlJSbdu3VIOe/TosWjRopEjR3br1k2SJKvVmpOTs3Xr1mvXrgkhMjMz161bt2rVqtY+9sZOnjy5e/duIURMTMwzzzwTExMTHBwsy3JRUdHRo0cbt3fL6AEAAAAAAAAAOjVWlAEAAADcZtSoUXq9XghRXV196dKlBrc6HA6lsEMI4WINimrMmDEpKSmbNm2Kj4/v169fSEiIJEmSJBkMhh49ejz66KPvv//+sGHDlMbp6ellZWVN9mO3219//XX18OWXX05KSurTp49er5ckKTg4ODY2dsOGDcq2Rx999JEruW3cuFGtknnkkUe2bNnywAMPhIeH63Q6SZKMRuPIkSM3bNgQHx+vtDly5MjZs2db9fCbtGvXLlmW58yZs27dupEjRypjotPpevXq1WB43TV6AAAAAAAAAIDOjhVlAAAAALcxGAyPPPLIZ599JoTYs2fPf/zHfzjfevHiRbPZLITQ6/WjRo1qVc8JCQnaDYKCgl555ZVFixYpmx/t3bt3/vz5jZvt37+/pqZG7XP8+PGN2+h0uqSkpKtXr6q7RGnIzc09fPiwEo8fP37x4sWN19FR+ly2bFlOTs7Vq1eFEOvXr//rX//aZMtWGTVq1LPPPttiP+4avcaKioreeust7TbKpFut1ub2uoIQor6+XghRV1fHKPkPZdIVsiwz9f5D2eGOSfcrDbY1NJvN7X8PAFfIstxiG4dDFnov5OINrjxetAE7kwIdjcPh0Cv/gLeGxibIHUpNTY3Mu8QOT3k6ORwO3tL7jwbvB6qrq3lL7yfU99gdYdKVv7IKN71BpVAGAAAAcKeHH35YKZQ5ePDg0qVLjUajetOnn36qBI8++qiy8Ix7hYSEzJ07d/v27aL5Uo9//OMfShAcHDx79uzmupIkadmyZcnJyS1e9IMPPlDjpKQkjc9LkiQlJiYqfd6+ffv69ev9+vVrsX9tS5YscdcnNFdGr7Hq6ur/9//+n3abQYMGCSHsdrtShQMNDoeDUfJPsiwz9X6ISfdbNpvN1yngf3Sl4pKu9Fg6FAYW6Jha+9p0dJLXss1m0/MusZPgc5w/4y29H+oIk+7ef3PYegkAAABwp759+/bo0UOJT5w4oZ43m81Hjx5V4hkzZnjo6nFxcUpQVlZmsVga3FpSUlJSUqLEc+bM0S7WiYmJ6datm/blamtrMzMzlXjq1KlhYWHa7WNiYoKDg5X4m2++0W7coqioqD59+rSzE2faowcAAAAAAAAA6AIolAEAAADcSZKkJ598UonT09PV88eOHVOCqKiovn37eujqJpNJjSsqKhrcqmx7pBg7dqx2V5IkTZs2TbuNc4dTpkxpMT1JkmJjY5X4u+++a7G9Nleu2CraowcAAAAAAAAA6ALYegkAAABws0mTJqWkpAghrl69evv2bWWBmR07dii3Pvnkk23eLUiW5fz8/Ozs7HPnzt24caOwsLDBgpPO+7NWVlb27NnT+daCggI1joqKavFyyp5BGq5fv67G/fv3b7FDIUS/fv2OHz8uhLh48aIr7bW7alX7do5ekwIDA4cMGeLK1XU6ncHA569mORwOh8Oh0+l0On7O4S+USVcPeYH4D1mW7Xa7YNL9iTrpCr1e7/O97aGSJNE5tuJwBc8rz2BcgY6ptS9NqdX38A29Xs+7xI5PeXcnSZInNhZHx8Rben9WX18vOsZHePfm4PvHAwAAAHQxYWFho0ePPnXqlBDiq6++evrpp2/evKkWqUyaNKlt3Z44cSI1NbWoqMjF9o03jr1586Yah4SEtNhD9+7dtRvk5+er8fLly5USB2WjdFmW1UAI4XA4lED9UF1VVSXLcns+VEdERLjeuP2j16S+fft+8MEH2m0WL14shDAajeHh4S5e3Q9VV1dbLJaAgIAWN/BCl1FTU1NbW6vEOp2OF4j/sNlslZWVkiQx6f6jrq7Oeam2sLCwjvA3Vn9QKEktFsHodDp7S206Cx3f1niGTseXoEDHonz01ulb9xsDg6FzvJa7det2B+8SOzyLxVJdXc3nOL9itVqrqqrUQ5PJxC+d/ITD4SgtLRVCdOvWzeeTHhAQoARuyYQPpQAAAID7Pf7440qhzMcff/zTn/70iy++UM6PHTv2jjvuaEOHW7Zs2bNnTzuzci7+cOXjRFBQkHYD9UtuIYTFYmlzYm3j+ndsbhk9AAAAAAAAAEAXQKEMAAAA4H733ntvYGCgzWYzm82ZmZmfffaZcv7xxx9vQ28HDx5U6zx0Ot2sWbMmTJhw1113hYaGGgwGSZLUdVkKCgqWLFnSXD+BgYFq7HA4Wlwgt8HORI11ip+Du2v0AAAAAAAAAABdQCf4uzYAAADQ6ej1+lmzZu3atUsI8cYbbyg7uQYFBQ0fPry1Xdnt9tTUVCXu1q3bpk2bNLYcct4tuLGePXuqsdlsNplM2pcuKSnRbuDc4fbt20NDQ7Xbe58bRw8AAAAAAAAA0AWweRgAAADgEfHx8UqgVMkIIWbPnt3iIi6NFRQU1NTUKPHy5cs16jyEELdu3dK4tU+fPmpcVFTU4qWvXLmi3eDuu+9W49u3b7fYofe5cfQAAAAAAAAAAF0AhTIAAACAR9x11129e/d2PvPQQw+1oZ/r16+r8dChQ7Ubnzx5UuPW6OhoNT516lSLlz5w4IB2A+cOtS/tK24cPQAAAAAAAABAF0ChDAAAAOApTz75pBr36dOnQd2Mi6xWqxprL0hjtVr37dun0aB79+7qkiq7d+/W3mkoNze3oqJCOzeTyTRs2DAl3rFjh7p2TsfhxtEDAAAAAAAAAHQBFMoAAAAAnvKTn/zk0x9s3ry5bZ10795djfPy8jRapqWltViq8tRTTymB2Wzeu3dvc81kWU5JSXElvYULFypBbW3t1q1bXbmLN7l39AAAAAAAAAAAnR2FMgAAAECHNmDAADV+6623mizmkGX5ww8/zMjIaLG3+Pj4kJAQJU5NTT19+nSTvaWkpOTm5rqS3ogRIyZPnqzEGRkZaWlp2gvVCCGKi4vff//9mpoaV/pvJ/eOHgAAAAAPCQ/rs/Cx96Ii7/F1IgAAAOj6KJQBAAAAOrSwsLBJkyYpcX5+/rJly7KysiwWi3LGbDZnZWUlJydv27ZNCDFv3jzt3gwGw+rVq9XDV155ZfPmzYWFhQ6HQwhhs9kuXLiQnJysbEL02GOPuZJhUlKSuqvUxx9/vGDBgs8//7ywsNBmsyknHQ5HTU3NtWvX9u7du2LFioSEhPT0dOWKnube0QMAAAAAAAAAdHYGXycAAAAAoAWJiYlZWVnV1dVCiJs3b/72t79tstmyZctGjRq1c+dO7d5GjRr1wgsvqFtBZWRkNLmYSmJiYnR09CeffNJiekFBQRs2bHjttdfOnj0rhKiurk5NTW3xXl7j3tEDAAAAAAAAAHRqrCgDAAAAdHQhISGbN28eMmRIcw2MRuOrr746Y8YMFzucOXPmH/7wh9DQ0CZvNRgML7300kMPPeR6hkaj8fe///3LL79sMpm0W0qSFB8fv2nTprCwMNf7bw+3jx4AAAAAAAAAoPNiRRkAAACgEzCZTH/6058uXbp08ODB7Ozs/Px8IURUVNTw4cMnTJgQFxcXEBDQqg5HjBjx97///cSJE8eOHTt9+nR5eXl4ePjgwYMnT578ox/9yGg0tjZDSZLGjx//3nvv5eXlnThx4tKlSzk5OeXl5Uqe/fr1GzRo0MiRI4cMGdLaVNvP7aMHAADQ8YXPeNDxw1aYzQly9BNBsudyULa8DAwM1Ok8/ovN8VGhlnq7p6/ihwJFUMCoVnw6OKuT1D1W+90dPvWhGE9khQ6orq7ObrcbDAaDgS+ePGtAZIA+xB4sJCn6AdfvZbpXGvLLu9ybiTLpSqzT6QIDA9vfp+GO4PZ3AgBAiyRZ9uAHIQAAAADwc4sXLz558uTSpUsTEhJ8nUvHVV1dbbFYgoKCvLbUEHyupqamtrZWiXU63Z133unbfOA1NputsrJSkqTIyEhf5wIvqaurq6ioUA/Dw8P5DtV/FBcXCyFMJhN1yf4jNDTUbDYr8csvv/zaa6/5Nh94TWVlpc1mCw4Obm7tUnQ9VVVVVqtViQ0GQ3h4uG/zgddYLJbq6mq9Xh8REeHrXOAlVqu1qqpKPbzzzju9UAaNjsDhcJSWloqOMek1NTVTp04VQuzYsWPgwIHt7I1nMAAAAAAAAAAAAAAAAPwCv94AAAAA/pdbt24tWbJEideuXRsbG+vbfNrJYrHMnz9fiRMTE6dPn+7bfDzq0qVLq1atUuKUlJTevXv7Nh8AAADAr8h1dc6HNruj2lrvlp51eockpIYnJaH74ZxBanntfKkjbc7lsMv11i613n9dlbnOZjPUyTaX51wfaNAHB3kyKQAAgKZRKAMAAIA2mj9/vsViUQ/j4+NfeOGFFu/lXIYyf/78n/70p57Kr61kWVb32O4a1IfjcDh8m4kXqA+WTWYBAAAALyv77Av5h31YhBDvZxbsX/+1W3p+eFpNsa2qwcnR3XtEBhUJIYz6gDE9ylrsJOrAt5Kt1i35tF99YK9ts//l6yx8bMSKJ8b/ZamvswAAAP6IrZcAAADQRvb/LSMjo7i4uMV7KWUoCn+o2wAAAAAAAAAAAB0HhTIAAABwm61bt/o6hSZUVlY+/oP//u//9nU6AAAAAAAAAADAZyiUAQAAgNt88803N27c8HUWTVDXsGE7HgAAAAAAAAAA/BmFMgAAAHCnlJQUX6cAAAAAAOhkLEXXTr80o/pqtq8TAQAAQNdHoQwAAADaKzQ0dPr06Up89uzZ3Nxc3+YDAAAAAOhkZFm21wsWAQUAAIDnUSgDAACA9pIk6ZlnnlEP33rrLXY4AgAAAAAAAAAAHZDB1wkAAACgKwgPD58zZ87HH38shLhy5Up2dnZsbKy7Orfb7efOnTt9+vT58+fz8vLq6+sjIyNjY2Pvu+++cePGBQYGuutCGmRZzs7O/vrrr7/99tuSkpLg4OB77rln3LhxU6ZMCQkJcb0fTzwWu91+9uzZo0ePnj9/vqioqL6+fvjw4a+//nobupJlOS8v79tvvz1//vzly5dLS0sNBkPfvn0HDx48ZsyYkSNHti1DN47eyZMnjx07lpWVVVZWFh4efs8990ycOPH+++9vbWJFRUUnT548c+bMtWvXiouLdTpdjx49Bg4ceO+998bFxUVFRbXyIQIAAAAAAAAAOgcKZQAAAOAeTz/99CeffKKsJfPWW2+98847kiS1s09Zlvfu3ZuWlma1Wp3PFxQUFBQU7Nu3T6/XP//88w8//HCT11q6dOnNmzedl7f54x//qNM1sapienq6wdDse+PCwsLf/e53hYWF6hmbzXb8+PHjx4+npKQkJyc/8MADnn4silu3bi1ZskSJ165dGxsbm5OTs3bt2srKSudmdXV1LebTQE1NzZdffrlz584GXdlstpycnJycnM8//1ySpKVLl8bHx7cqQ7eMnhDi4sWLa9euraqqUs8UFxcXFxcfPXo0KCho9erVo0ePdqWfqqqqN998MzMzs8H5/Pz8/Pz8Q4cOCSGGDRv2y1/+cvDgwa50CAAAAAAAAADoRNh6CQAAAO4REhLy85//XIlv3rx54sSJdnZoNptXrly5efPmBpUlzux2++bNm1977TW73d7krXa73eFwqGdkWbY3RSON3NzcxYsXO9d5OJNl+c9//nNGRoanH0vj/IUQmZmZL774YoPSlrZZtWpVWlqadleyLL/99ttr1qxxHlLtDN0yekKI/fv3r1y50rlKxpnVan311VeVGhdtFRUVzz33XOMqmQYuXLiQnJxcW1vbYocAAAAAAAAAgM6FFWUAAADgNo899tiOHTtsNpsQ4u233x4zZoxer29bV1arNSkp6datW8phjx49Fi1aNHLkyG7dukmSZLVac3Jytm7deu3aNSFEZmbmunXrVq1a5a4HosrOzk5PT5dleejQoQsXLhw4cGBwcLAsy8XFxenp6fv27VOabd68ecKECeHh4d58LCdPnty9e7cQIiYm5plnnomJiVFyKyoqOnr0aNse74ABA2bPnj1s2LDIyMjg4GAhhN1uLysrO378+LvvvmuxWIQQp06d2rZt24IFC1rszS2jp/SzceNG9fDHP/7xvHnzevXqpdPpLBZLbm7uli1brl27tm7duieeeEI7pTVr1pjNZiWeMGHC3Llz+/TpExISIkmSw+Gorq5WFpVRcwMAAAAAAAAAdDEUygAAAMBtgoKCEhIS3nnnHSFEWVnZ119//eCDD7atq40bN6qVJY888shzzz3nXHNjNBpHjhy5YcOGlJSUL774Qghx5MiRmTNnxsbGOneSmpoqhCgvL1+4cKFyZuXKlVOmTHE9je3btwshFi5c+MQTT6j7DUmSFBUVtWzZsv79+2/dulU5+dFHH/3iF7/w3GNpbNeuXUKIOXPmPPvss8659erVq8V6kcbGjBmzevXqvn37NjhvMBh69Ojx6KOP/uQnP/nd73534cIFIUR6evqsWbMiIiK0+3TL6Nnt9tdff109fPnll8ePH68eBgcHx8bGbtiwYePGjf/85z8/+ugjjXxu3LiRm5urxD/72c+efvpp51v1er3JZDKZTPfee29CQsKnn36q/egAAAAAAAAAAJ0RhTIAAABwpxkzZrz//vs1NTVCiNTU1MmTJwcEBLS2k9zc3MOHDyvx+PHjFy9erJZZONPpdMuWLcvJybl69aoQYv369X/9618bt9TpdE3GLpo+ffq8efOavGnWrFkff/zx7du3hRD79u1LSEhofHX3PpYGRo0a5Vwl0x4JCQnaDYKCgl555ZVFixYpu0ft3bt3/vz5LXbbztETQuzfv195OilJOlfJqHQ6XVJS0tWrV69cuaKRzKVLl9RYu5YoODj4qaee0migMpvN2dnZ2m3q6+uFEHa7va6uzpU+/ZOyn5fD4WCU/EeDTdyYev+h7jDIpPsP5X+FzoeyLPsqGfhEg+cAujDtbW3bQxZN/LvhcHTif0z4l1Dw/r/za7DVNbPpP3hL74ca/C++rq6uDX9lRWekvmOpr693y1+h20P9N8ct76MolAEAAIA76fX6JUuWrFu3TghhNpv37t07e/bs1nbywQcfqHFSUpLGW3BJkhITE5OTk4UQt2/fvn79er9+/dqUeLOaW+lEufrcuXOVdWssFktpaWlkZGSDNh59LEuWLPHm55OQkJC5c+cq68S4WCjTztETQvzjH/9QguDgYI3nkiRJy5YtU0avOSUlJUpgNBrbUL/VpMLCwqVLl2q3GTRokBDCarVWVFS45aJdWF1dHaPknxwOB1Pvb2RZZtL9VnV1ta9TgLepdc/o8mpraz3Uc4MSW4X6pZ2LX5bIsuzjr3ecOOxNPCLKTY+fAAAgAElEQVR/w6ekrsRutzOb/oZJ92dVVVW+TgHeVllZ6esUhNlsVgK3FMpQ6gUAAAA3mzJlilrx8Le//c1isbTq7rW1tZmZmUo8derUsLAw7fYxMTHBwcFK/M0337Qy2RbExcVpJzBs2DA1Li0tbXCrRx9LVFRUnz59tNu4XVxcnBKUlZW1OLPtHD0hRElJiVrdMmfOHOctqxqLiYnp1q2bRgM1GYvFwrc1AAAAAAAAAOCfKJQBAACAmym7CClxfX397t27W3V3Ze8hxZQpU1psL0lSbGysEn/33XetulaLxo0bp93AZDKpcXl5eYNbPfpYXOnQ7Zwfb4s/G2rn6In/PYBjx47V7k2SpGnTpmk0GDx4sBq/8cYb6k8QAAAAAAAAAAD+g62XAAAA4H5jxozp06fPjRs3hBD/+Mc//s//+T+hoaEu3vf69etq3L9/f1fu0q9fv+PHjwshLl682PpktfTq1Uu7QWBgoBrbbLYGt3r0sbh9kykhhCzL+fn52dnZ586du3HjRmFhodVqdW7gvOB5ZWVlz549NXpr5+gJIQoKCtQ4KipKuzfxwyZHzYmOjlaflllZWU8//fTkyZNnzpw5aNCgkJCQFjsHAAAAAAAAAHQBFMoAAADA/SRJ+tWvfrV69WohhCzLH3zwwXPPPefiffPz89V4+fLlOp1O/LDtqCzLaiCEcDgcSqDuTF9VVSXLsiS5bd/5oKCg9tzdo48lIiKiPbk1duLEidTU1KKiIhfbN1na4qydoyeEuHnzphq7UsvSvXt3jVslSVqzZk1iYmJtba1y5siRI0eOHBFCREZGjh8/fty4ccOGDXO9qEsI0bdv3+3bt2u3eeONN4QQRqMxPDzc9Z79jdlsttlsAQEBrRp/dGq1tbVqKZ5Op9PeOg1dSV1dnbL/Hf8q+o/6+vrq6mr1MCwsTHs7RXQlyqqBd9xxh8HAH6L9g8cK0PW6Jv7dMBj+fdLFz4Bu/KjYfjr+JRQiKCiI9wOdmvI5Ton1en2L+02jy7BarbW1tXyO8ys2m815beZu3bopf+dEl+dwOCorK0XHmPSAgAAlcMubOj6fAAAAwCNGjBgxZMiQnJwcIcRnn302b948Fws71CIGIYTFYvFUfl7h0cfi3i8btmzZsmfPHjd26BbOtTiufBJrsTQnKirqb3/7W1pa2hdffOF8vqSkJCMjIyMjQwgxduzYZ555xsUVgAIDA513dGqSMlM6nY7vhzQo88so+ZUGL2qm3n8oi5NJksSk+w+lGlil1+uZfX/DpPsPL3990qEKX1qrM+fuNrz/7+ycX4O8u/Mr9fX1gkn3M+pP+xQGg8HnNRPwDnV98Y4w6eq/ORTKAAAAoENbtmxZUlKSEqelpSUnJ7tyr670GbuzPJaDBw+qVTI6nW7WrFkTJky46667QkNDDQaDJEnqZ4+CgoIlS5Z4LTHnvZkcDkeLvz5vsFFUk0JCQn71q18lJCScOXPm6NGjx48fb3CvzMzMzMzMuXPnLlq0qFP/5R0AAAAAAAAA0Fjn+MM9AAAAOqO777579OjRp06dEkIcOnTo5z//ea9evVq8V8+ePdV4+/btnXoflk7xWOx2e2pqqhJ369Zt06ZNGmv/NPj5iKc5D6DZbDaZTNrtS0pKXOw5JCRk4sSJEydOlGW5vLz8ypUrhw8fPnTokPoAd+3a1b9//+nTp7ctcwAAAAAAAABAx8SaSAAAAPCgxYsXq/E777zjyl3uvvtuNb59+7b7c/KiTvFYCgoKampqlHj58uXaO2TdunXLK0n9W58+fdS4qKioxfZXrlxp7SUkSYqIiBgzZsyKFSvS09MTEhLUm7Zs2aIuLgoAAAAAAAAA6BoolAEAAIAH9e7d+4EHHlDiU6dOXb16tcW7REdHq/HJkyfdm48sy+7tUJtHH4u7XL9+XY2HDh2q3djLj8J5AJWlibQdOHCgPZczGAxz5syJj49XDs1mc2lpaXs6BAAAAAAAAAB0NBTKAAAAwLN+8YtfqHFKSkqLe/eYTKZhw4Yp8Y4dO+rr69uZgE73P296299bq7j9sXiC1WpVY71er91y3759ns/of3Tv3l1d4Wb37t3aT57c3NyKior2X3TixIlqXFVV1f4OAQAAAAAAAAAdB4UyAAAA+P/s3Xl8U2W++PHnJGmbppS2FAqy1lJQiqVWNtlG5SIILiCCyDgidBQQBvCKMCKM7PcqDjOjbANovSK4UDYFL4uoyPJToCy1yFIWoextodA0bZImOb8/zvVMpkuatmkSms/7D17fkzx5zvc85zRk+eZ5aldUVNTjjz+uxCdPnvzmm28qfciIESOUoLi4eOXKlTVMQK/Xq7H31z/y7LHUhoYNG6pxdna2i5apqaner/UZNmyYEhQVFW3btq2iZrIsL1261CN7dJ5Fpl69eh7pEwAAAAAAAADgJyiUAQAAQK37/e9/r8YbNmyotH379u179uypxFu3bk1NTa10Hpq8vLxPPvnEZDKVvUun04WFhSnxwYMH3U3aQzx7LLWhVatWarx48eJyS2FkWf7iiy+2bt3qnZSc9e3b12AwKPHy5cuPHDlSto1SJXPmzBnXXa1duzYzM9P1+BcXF3/yySdKrNfrnauIAAAAANQefePYB97+tt7dib5OBAAAAHUfhTIAAACodeHh4cOHD6/SQyZNmnTXXXcp8aZNm1544YWvv/762rVrVqtVudHhcJhMpgsXLmzbtu3VV19NSUlJS0tzOBzl9ta7d28lOHny5ObNm41GoyzL1T2aKvPssXhceHh4jx49lPjixYvjx4/PyMgwm83KLUVFRRkZGZMnT16zZo0QYsiQId7JSqXT6aZNm6Zuzpw5c9myZdeuXVPGx2q1njhxYvLkycqaUAMHDnTR1dmzZ6dPnz5s2LAVK1ZkZGTcvHmzpKREuctut+fn5+/atWv06NH5+fnKjWPHjpUkqbYODAAAAAAAAADgCzpfJwAAAICA8PTTT6elpbm/cE9ISMh77703d+7czMxMIURhYeHy5curvfdBgwZt3rxZiVeuXKksgaTRaNQyiLS0NJ2utl4be/ZYasOECRMyMjIKCwuFEFevXv3LX/5SbrPx48cnJSWtW7fOu9mJpKSkV155ZdmyZcrm1q1by53bZsKECbGxsV9++aXr3qxW65YtW7Zs2eK6Wb9+/R555JHqJQwAAAAAAAAA8FvMKAMAAABv0Ov1o0aNqupD5s2bN2PGjIiICNctJUnq27fvokWLwsPDy23QqFGjP//5z6VmB3E4HPbfVCmxavDgsdQGg8GwbNmytm3bVtRAr9fPmjWrX79+XkuplP79+//3f/+3uoRWKTqdbvr06Y8++qhH9hUeHj5lypRx48YxnQwAAAAAAAAA1D3MKAMAAAAveeyxx1avXl1cXOz+QyRJ6tKly6pVq7Kzsw8ePHj69OmsrKxbt24JIWJiYlq0aNG6desOHTq0bds2KCjIdVc9evT4/PPPf/rpp4MHD54/f/7atWvuT2/jER48ltoQERHx7rvvnj59eteuXceOHbt48aKSWEJCQrdu3ZKTk32SlbP27duvXr364MGDP/3005EjR27duhUZGdmmTZuePXs++OCDer2+0h6mTp2am5ubnZ19/vz5X3/99erVq7m5ucXFxQ6HIyIiomXLlgkJCcnJyW3bttVo+EUBAAAAUGWSRiPEv8rNtZIUpPXMS2uNpNFJpbvSSBqNpFECyZ1fBWu0QuM334lIWk2w3yTjI5KHLg8AAICqkmRZ9nUOAAAAAFBnjRkz5tChQ+PGjUtJSfF1Lv6rsLDQbDaHhIR4cy4l+JbJZFJLJzUaTYMGDXybD7zGarUWFBRIkhQdHe3rXOAlJSUlt2/fVjcjIyNrb8lL+Ju8vDwhREREhM+rruE1YWFhRUVFSjxjxoy5c+f6Nh94TUFBgdVqDQ0NrWgqUNQ9RqPRYrEosU6ni4yM9G0+8Bqz2VxYWKjVaqOionydC7zEYrEYjUZ1s0GDBvzMLEA4HI6bN28K/zjpJpPpoYceEkKsXbs2Li6uhr1xBQMAAAAAAAAAAAAAACAgUCgDAAAAAAAAAAAAAACAgMA0pwAAAIC/O3z4sPOM5VOmTOnevbsP8wEAAABUl956R7bZy73LarUKIUw6nfvztNeb1FlEOjyWXLVcKgzfc93mzT3KQpw9UUeWLCmxy2p88P9d/Md/fe/DZOBNNpvN4XBotVqtVuvrXOq4jsOCY4OKml85Ub2HFxrDDyw555FMlJOuxJIkBQUFNX20U7vxAz3SOQAAtYpCGQAAAMDfrV+/3m7/13cPa9eupVAGAAAAfsL4/9LlkhIXDSxV6S3ktTi7/XYNU6qhm5bmGTe8moMkxMEzXi3NqT12+V+FMtevGI8cuOTDZIA6qdlj9aLDSuSrR6v3cMkRm/3V//NsSip946ha6hkAAM9i6SUAAADAr92+fTszM9P5lnPnzuXl5fkqHwAAAAAAAAAA7lwUygAAAAB+bffu3WVv/Pbbb72fCQAAAAAAAAAAdzoKZQAAAAD/Jcvy2rVrlbhdu3bJyclKvHHjRnUhcAAAAAAAAAAA4CYKZQAAAAD/9euvv96+fVuJn3nmmYEDBypxUVFRVlaW7/ICAAAAAE+6bby8evOonBu8zQEAAECt0/k6AQAAAAAV2rJlixrff//9Go1Go9Eoc8l8+eWX9957r+9SAwAAAACPkYVwOOxCyL5OBAAAAHUfhTIAAACAn7JarTt37lTi3r17BwcHCyH69eu3detWIcS+ffuKiooMBoP3E8vNzd23b9+JEydOnjxpMpn0en3btm0TEhK6d+/etGnTanRot9szMzP37dt3/PjxnJwcm82WkJAwf/78clv+8ssvR44cOX78eHZ2ts1mi46OTkxMvP/++zt37qwMkTtycnIOHTp09OjRCxcu5OXlaTSaRo0axcXF3XfffcnJyTExMdU4CgAAAAAAAACA/6NQBgAAAPBTBw8eVOMBAwYowWOPPaYUygghfvrpp969e7vuZMmSJWq1jZt69er12muvlXvX7du3FyxYkJmZ6Xyj1WpNT09PT09ftWpVXFzcm2++6aLQ5Pr162PHjlXiOXPmJCYmZmVlzZkzp6CgwLlZSUlJqQfKsrxt27bU1FSLxeJ8+5UrV65cubJ9+3atVjt69OjHHntMkiQXR2c0Gv/+97+np6eXuv3ixYsXL1784YcfhBDt2rV76aWX2rRp46IfAAAAAAAAAMCdSOPrBAAAAACULy0tTQkMBoNatBEbG1u/fn0lXrt2baWd2Kul3K4yMzNHjhxZqkqmlHPnzr300kv79u2rqIEsy857SU9Pf/3110tVyZRVVFQ0ZcqUZcuWlaqSKXWky5Ytmzt3bkX5CyFu37798ssvl62SKeXEiROTJ08uLi523QwAAAAAAAAAcMdhRhkAAADAH+Xl5Z07d06JBw4cqM6SIknS4MGD/+d//kcIceXKlatXr951111eyOf8+fPTp09XN5OSkkaMGNGqVaugoCCbzXb58uU1a9bs379fufedd96ZO3duUlKS6z4PHTq0ceNGIUR8fPzIkSPj4+NDQ0NlWc7JyXEutbFYLJMmTbp+/bqy2ahRoxdffLFDhw7169eXJMlisWRlZa1cufLChQtCiPT09IULF06dOrXcPc6ePbuoqEiJu3XrNnjw4GbNmhkMBkmSHA5HYWGhMqnM9u3bqzlMAAAAAAAAAAD/RqEMAAAA4I++/fZbNX7kkUec73rooYeUQhkhxPbt20eOHOmin4kTJ06cONH1vmRZnj9//oEDB5TN+++/v1QDu90+e/ZsdXPUqFFPP/20uhkUFBQbGzt9+vQdO3YsXrxYuXH+/PmrV68ODg52sd8NGzYIIQYNGjRq1CjnSqAmTZo888wzarP3339frZIZMGDAyy+/rNVq1Xv1en2HDh3ee++9pUuX7tixQwixd+/e/v37JyYmltrd5cuXz5w5o8S///3vn3vuOed7tVptRERERETEfffdl5KS8tVXX7nIHAAAAAAAAABwh2LpJQAAAMDvOBwOpYhECNG0adMmTZo43xsdHR0XF6fEW7ZscbHSkJtSU1PVKpmBAwc++uijpRp89913N27cUOJ+/fo5V8k469u379ChQ5XYbDavX7++0l0nJSU5V8mUdebMmT179ihxly5dxowZ41wlo9JoNOPHj4+NjVU2//GPf8iyXKrN6dOn1di5EKes0NDQYcOGhYaGVpo/AAAAAAAAAODOwowyAAAAgN85depUcXGxEg8ZMqRsg2eeeebdd98VQlit1mPHjlW6yJELX3/99ZdffqnE3bp1S0lJKdvm888/V+NRo0a56G3YsGEbN2602WxCiPXr1w8bNkyjcVWdP3bsWBdVMkKITz/9VI0nTZrkorEkSRMmTJg8ebIQIjc399KlSy1atHBuoNb66PX6oKAgFzt1X3Z29ujRo123iYqKEkIUFxffvHnTIzutk5TCJqvVyigFDudqNofDwakPHMqpl2WZkx6wCgoKfJ0C/JrdVtMq8Jqz2W2+TgEAKuRwOGy2kmo/XHnDXkssFguv8QKB8pLebrdzugNHqR+k3bp1y1eZwFf84aQXFRUpgcPhqHlvFMoAAAAAfsd53Z8HH3ywbIPOnTur8YYNG6pdKJOenr58+XIlbtu27dSpU8tWouTl5eXm5ipx7969DQaDiw6Dg4OfeuopZTocq9V6/vx5dfKbsmJiYpo1a+ait+Li4vT0dCV+6KGHwsPDXR9OfHx8aGioUmP0448/liqUUR9uNptNJlNYWJjr3txhs9ny8vJct4mIiBBCyLLskbdwdZssy2WnAkKA4A8kAHHSAxanvu7x7H/fspBdlVF7Ba9HAPi5mj1N1eJzHO98Aw2nO2Bx6gOQP5x0z+bA0ksAAACAfykqKtq3b58SJycn16tXr2wbvV7fo0cPJT5y5IjRaKzGjs6dOzdnzhwljomJmTdvXrmrGmVnZ6txz549K+3WubLnzJkzLlr26tXLdVfnz593v7EQQpKkxMREJT558mSpe9u0aaPGb7/9tvoTBAAAAAAAAABA4KBQBgAAAPAvP/30kxoPHDiwomZPPPGEGu/Zs6eqe8nLy5s6daoSGwyGhQsX6vX6cltevnxZjZs2bVppz02aNFHjCxcuuGhZasaXsi5duqTGLVu2rHTXzn2eOnWq1F2xsbHqBDYZGRnPPffcggULMjMzqZgBAAAAAAAAgMDB0ksAAACAf/niiy+UQKPRdOjQoaJm9957b3BwsNVqFUKsW7euf//+ZVdNqkhRUdHkyZOVx2o0moULFyrLA5Xr6tWraly/fv1KO3de0si5yKasqKgo111dvHhRjSdOnKjRaMRvc/ura/Qo/zocDnWFbKW90WiUZdl5TCRJmj179oQJE5S1mYQQe/fu3bt3rxAiOjq6S5cunTt3bteuXZWWZIqMjPzDH/7gus3hw4eFEDqdLjQ01P2eA01JSYnNZtNqtcHBwb7OBV6inHQlliSpolo91D12u135D4hnxcDhcDgsFou6GRISovyfjjpDkiQPLuOh0Wh8vvARlygAP6fVVv9pqlaf4njnGyBsNltJSQnv4wKK+j5Oodfr3f8cEnc0WZbNZrPwj5Pu2SVfKZQBAAAA/Mjly5fVwpR+/frpdBW+YtdqtU888cSGDRuEEHl5ednZ2a1atXJnFyUlJX/+85/z8/OVzXnz5qnzrFTUXo1d5KNy/tDN+VuxsirtTa1oEUIob8lqKCYm5qOPPkpNTd2xY4fz7Tdu3Ni6devWrVuFEJ06dRo5cqSbE9g0aNDg1Vdfdd1mzJgxQojg4OAqleAEmsLCQpvNptPpGKXAYTKZnAtlOPWBw2q1Wq1WTnpAKSkpcX5JEBoa6s4rCgQsjUZj93UOWgplAPgxjUaj0ZSzbrLbD6/+YyvFe7oAYTabS0pKNBoNpztwWCwW50IZg8FAYXGAcDgcyqeyfnXSPZIJb0oBAAAAP/LNN9+o8datW0vVc5TicDjU+H//939feeWVSvuXZXnevHnqikj/+Z//ed9997l+SFBQkBqr87W4mVVISEil7V2ojW/RDAbDn/70p5SUlKNHj+7bt+/AgQOlqnnS09PT09MHDx784osv+vx3EgAAAAAAAAAAz6JQBgAAAPAXdrv9q6++KnWLm4/dvn37Sy+95FzUUpYsy0uWLDly5IiyOXz48EceeaTSnhs3bqzGRqOx0l8LmUwmNW7atGml/bu5688++8yDP1QyGAzdu3fv3r27LMu3bt06d+7cnj17fvjhB3XAN2zY0LJly969e3tqjwAAAAAAAAAAf+Av0+MAAAAAyMzMVBciqSqHw6FWwFRk3bp16hQ1vXv3fu6559zpuXnz5mp85cqVSttfv35djd1cDaoid999txrn5ubWpKuKSJIUFRXVsWPHV199NS0tLSUlRb1rxYoVzrPjAAAAAAAAAADqAGaUAQAAAPzF+vXr1fjzzz83GAyVPsRutw8ZMkSZB2XdunVdunSpqOWePXs++eQTJU5MTJw4caKb6wq1bNlSjX/88ccHHnjAdfsDBw6ocevWrd3ZRUViY2PV+NChQ86btUGn0w0aNOjSpUtKOVFRUdHNmzcbNmxYqzsFAAAAAAAAAHgTM8oAAAAAfqGgoCAjI0OJO3Xq5E6VjBBCq9X27dtXiU+ePJmfn19us5MnT7777rtK3Lx585kzZ2o07r4XaNSokVossmPHDrPZ7KJxSUmJunpUcHBwXFycm3spV0RERLt27ZR47dq11Z5up0q6d++uxkaj0Qt7BAAAAAAAAAB4DYUyAAAAgF/Ys2ePGg8YMMD9B/bp00eNv//++7INrl27Nm3aNCWuX7/+u+++GxwcXKXchg0bpgSyLH/66acuWm7cuNFisSjxwIED3S/HqciIESOUoLi4eOXKlTXszR03b95U43r16nlhjwAAAAAAAAAAr6FQBgAAAPA9WZbXrl2rbnbo0MH9x7Zu3TokJESJ169fL8uy871Go/G1115T1mbS6XR///vfw8LCqppenz59oqKilHjTpk3bt28vt9nu3btXr16txCEhIUOHDq3qjspq3759z549lXjr1q2pqanKsbiQl5f3ySefmEymUrevXbs2MzPT9cOLi4vVBar0ej3rLgEAAAAAAABAHaPzdQIAAAAAxIULF9RVk3r06FGlGV80Gk2/fv2UBY+MRuOZM2fatGmj3GWz2V5//fXCwkJlc8GCBY0aNapGelqt9i9/+ctrr72mbC5ZsiQ9Pf0Pf/hDs2bNdDqd3W6/evXqF1988cMPP6gPeeONN/R6fTX2VdakSZPOnj179epVIcSmTZt27tz5/PPPd+zYsUGDBspAORyO4uLivLy8EydObNu27dy5c0KIQYMGlern7Nmzq1evDg4O7tu3b9euXVu0aBEeHh4UFCSEsNvtytJXH3744e3bt5X2Y8eOlSTJI4cAAAAAwLXI8GYjBq7ydRYAAAAICBTKAAAAAL739ddfq/Fjjz1W1Yf37t1bKZQRQmzevFmtaDEajUp9iWLKlCnu9NarVy+1B1V8fPzs2bNnz57tcDiEEPv379+/f39FPbz22msdO3as0iG4EBIS8t57782dOzczM1MIUVhYuHz58mr3ZrVat2zZsmXLFtfN+vXr98gjj1R7LwAAAAAAAAAA/8TSSwAAAICPWa3WHTt2KLEkSQkJCVXt4e677w4NDVXiXbt2mc3mcpvZ3Vbuw5OTkz/66KN7773XRSYtW7ZcsWLFww8/XNVDcE2v18+bN2/GjBkRERGuW0qS1Ldv30WLFoWHh1dvX+Hh4VOmTBk3bhzTyQAAAAAAAABA3cOMMgAAAICPHT58WJZlJX744YeVxYCqRJKkAQMGrF+/Xtk8ePBgr169PJnib6KiohYsWJCTk7N3797jx4+fOHGisLDQYDDcc889CQkJ3bt3b968eW3sVwghSVKXLl1WrVqVnZ198ODB06dPZ2Vl3bp1SwgRExPTokWL1q1bd+jQoW3bthUN4NSpU3Nzc7Ozs8+fP//rr79evXo1Nze3uLjY4XBERES0bNkyISEhOTm5bdu2Gg2/KAAAAAAAAACAuklSP5EHAAAAAHjcmDFjDh06NG7cuJSUFF/n4r8KCwvNZnNISEi1pwLCHcdkMhUXFyuxRqNp0KCBb/OB11it1oKCAkmSoqOjfZ0LvKSkpOT27dvqZmRkpE7Hj/fqlIJd+4Sj/A+ZjUajEMJgMGi1Wjd7C3ogRoS727iW3LbqLhV6dY+yEPl5eq/ustY81fFuy2//xae8OGH0S6UXdUVdVVxcbLPZgoODQ0JCfJ1LHdc4QWogLOFFt6r3cItRuvqzySOZKCddiTUaTVhYWHjcXQ073+ORzuHPzGZzYWGhVquNiorydS7wEovForyuUzRo0ICfmQUIh8Nx8+ZN4R8n3WQyPfTQQ0KItWvXxsXF1bA33pQCAAAAAAAAAKqp/sM9KrrLmpcnhKgXEVGNSRN9KDRUNAn1+l4beX2PtUPrtIBp0xYRXXvG+i4XeFVBQYHVag0NDQ0LC/N1LoGhunXmeiHubueZFIxGo8ViUWKdThcZGemZfgEAqH2UegEAAAAAAAAAAAAAACAgMKMMAAAA8G/MZvPw4cOVeMKECb179/ZtPgAAAHeEq98dseQby95ut9uLiorUzdtVWYUH1dMgOkhIlbQxxGh1rf7vp//Xhd5W3tJJl/L0hebKOnLpt6WXbA0KbcLuqElXuFM4nNbhulZsPJx30YfJwJv+b+klS3BIMUsvBYrSSy/ZynkZcIcK1or4+iXutAwqKNYUm9VNSR8hGsTXWl4AAI+hUAYAAAB3pOHDh5vN//okom/fvq+88kqlj7p+/frYsWPVHp599tlym9ntdiVwOPg0HwAAwC3p01bmHTzl6ywghJkjuD4AACAASURBVBAP9omWLVbXbe4eGqd9sqkS/6xpc7uksGybr3+M//mSySMp9TpzKz/XM13Bz9lK/vUe6mj+peUn9vgwGQConoZ6w5/aX3enZeQ1W8jJQ//abnK/1G1ibaUFAPAcll4CAADAHcn+77Zu3ZqXl1fpo2RZVh9CEQwAAAAAAAAAAIGGQhkAAADUEStXrvR1CgAAAAAAAAAAwK9RKAMAAIA64scff7x8+bKvswAAAAAAAAAAAP6LQhkAAADUHUuXLq15J3q9/qvf9OnTp+YdAgAAAABcyD9/+YPeI679fMrXiQAAACAgUCgDAACAO1tYWFjv3r2VODMz88yZM77NBwAAAABQNbLssNl9nQQAAAACBYUyAAAAuLNJkjRy5Eh1c/HixbIs+y4dAAAAAAAAAADgv3S+TgAAAACoqcjIyEGDBm3atEkIce7cuWPHjiUmJnpt7w6H49SpU0ePHj158uTZs2fNZnN4eHh8fPz999/ftWvXhg0bun64LMvZ2dk///zz8ePHz549e/PmTZ1O17x58zZt2nTs2LFDhw7BwcHVS8xut2dmZu7bt+/48eM5OTk2my0hIWH+/Pm1moDdbj948OCBAweOHj1669atqKiotm3b9ujRo0uXLtU+EE+pvaEGAAAAAAAAANwpKJQBAABAXfDcc899+eWXylwyixcv/uc//ylJUvW6MpvNw4cPV+IJEyao6zqVJcvyzp07P/jgg+LiYufbb9y4cePGjf379y9fvrxTp06jR49u0qRJ2YebTKZvvvlm3bp1BQUFzrdbrdasrKysrKyvv/5akqRx48b17dvX9eFcv3597NixSjxnzpzExMSsrKw5c+aU6rmkpKSWElBkZmb+13/9l8lkUm/Jzc3Nzc3dt29fSEjIm2++mZycfPr06alTpyr3Ll269K677irbz549e/72t78p8Zo1awwGg+udvvXWW0q8YsWKRo0alW3j8SMFAAAAAAAAANyhWHoJAAAAdYHBYHj++eeV+OrVqwcPHqxJb/bfOByOitqYTKbJkycvWrSoVJVMKenp6aNHjy73rqlTp6amppYq3ShFluUlS5bMnj3bRSZKMzVnZaevv/666549m4AQYvPmzdOnT3euknFmsVhmzpy5a9cu4TS8FS2SVepwKlVph549UgAAAAAAAADAnYsZZQAAAFBHDBw4cO3atVarVQixZMmSjh07arXaWtpXcXHxhAkT8vLylE29Xv/ss8/27NkzOjpap9PJsmw0GrOzs7/55hulNMSFVq1aPfnkk+3atYuOjg4NDRVC2O32/Pz8AwcOfPzxx2azWQhx+PDhNWvWvPDCC+7kdujQoY0bNwoh4uPjR44cGR8fHxoaKstyTk7Ovn37aimBQ4cOrVy5Ut3s37//wIEDGzdurNFoLBbL2bNnP/zwwzNnzvztb3975pln3DmK2uDxoQYAAAAAAAAA3HEolAEAAEAdERISkpKS8s9//lMIkZ+fv3v37kceeaSW9rVw4UK1SiYpKWnatGnOywNJkhQREZGYmJiYmPjHP/7x008/LbeTjh07Tps2rXnz5qVu1+l0jRo1evzxx/v06fPWW2+dOHFCCJGWlvbEE09ERUVVmtuGDRuEEIMGDRo1apS6ipAkSU2aNClVpOKpBEpKSt555x11c+7cuUlJSeqmXq9v3779woULV65cuWXLlvXr11d6CB5XS0MNAAAAAAAAALjjUCgDAACAuqNfv36ffPKJsvrP8uXLe/bsGRQU5PG9HDt27MCBA0ocHx8/a9YsF1PXREREvPLKK+XelZKS4npHISEhM2fOfPHFFy0WixBi27Ztw4cPdyfDpKQk5yqZingqge3btyvTsQghxo8f71wlo5Ik6eWXX/71119/+eUXdw7Bs2pvqG/evLlmzRrXbZTFuaxWa0XrUkEIUVJSIoSw2WyMUuBQTrpClmVOfeBQltXjpNdJLF/oPypaj9KZw/6v8+VwlN/eg+fUnZQAAPAT7v+3Ver/SrvdbgmAV7k2m00I4XA4eEkfOEotj15UVFTpB4+oG9TnQ3846UVFRUrgkfcpFMoAAACg7tBqtWPHjl24cKEQoqioaNu2bU8++aTH9+JcGDF16tTaW+BJCGEwGAYPHvzZZ5+JqlRvjB071lPvW9xJIC0tTQnq1avXp0+firqSJGnMmDETJ070SGIeV72hvnXr1scff+y6TevWrYUQNptNqZiBC3a7nVEKTLIsc+oDECe97qFQ5s7ifL5kufxzR6EMACAwVaFQxl66UCZwXuXyPi6QqT+ZQ+Dwh5Pu2eccjQf7AgAAAHyuV69e0dHRSvzRRx95/BW80WhU50RJTk5u0qSJZ/svKzk5WQny8/PdOZyYmJhmzZp5LYG8vLz8/Hwlfvrpp12XDcXGxqpnxw9VdagBAAAAAAAAAHccCmUAAABQp2g0mvHjxyuxzWbbuHGjZ/s/f/68Gj/66KOe7bxcERERanz79u1K2/fq1cubCTgPiFpo4oLH0/Ogqg41AAAAAAAAAOCOw9JLAAAAqGs6duzYrFmzy5cvCyE+//zzp556KiwszFOdZ2dnq3FsbGzNO5Rl+eLFi8eOHfvll18uX7587do1i8Xi3MB5xvuCgoLGjRu77rBFixbeTEAZZ0WjRo0q3V1cXFyV0vMgjw+1EEKr1UZFRbluoyyDJUmSRsMPFSoky7Isy5Ik+Xy1Y3iNctLVTf5AAoryfMtJB3zr3//Lrej/X/5fBgCgCgLkvT9v4QMQb+EDmf+8hfdsDhTKAAAAoK6RJOlPf/rTtGnThBCyLH/66acvv/yypzq/cuWKGjtPQFI9Bw8eXL58eU5OjpvtrVZrpW0qrdvwbALXr19XY4PBUGkPvlp6qTaGWgjRqlWrb775xnWbMWPGCCFCQ0MbNGjg5t4DUGFhodlsDg4ODg8P93Uu8BKTyaSuLa3RaPgDCRxWq7WgoECSJE563aPT8Umjv5AkSa6sjdbpfGm1GuEop41O52pVzSrxhw/WAQBwk/v/bemC/u31T1BQUCC8yjWbzYWFhRqNpkqfQeGOZrFYjEajuhkZGcmruwDhcDhu3rwp/OOkh4SEKIFHMuHtKwAAAOqg9u3bt23bNisrSwixefPmIUOGeOqtu3P9RFBQUE26WrFixZYtW2qcUWnuf0flkQScB8Sdtyjq+xlvqqWhBgAAAAAAAADccSiUAQAAQN00fvz4SZMmKXFqaurkyZM90m1wcLAal5SU6PX66vWza9cutXRDo9E88cQT3bp1a9q0aVhYmE6nc5699sqVK2PHjq1h2rWXgHO1kMPh0Gor+dmxmzO1eJDPhxoAAAAAAAAA4D8olAEAAEDddPfddz/wwAOHDx8WQvzwww/PP/98kyZNat5t06ZN1bigoKB6y8TY7fbly5crcf369RctWuRiwhu73V6NXXgtgcaNG6txcXFxpbPs3LhxoyqZCuf1j8vlOj2fDzUAAAAAAAAAwK+weBgAAADqrDFjxqjxP//5T4/02bJlSzW+cOFC9Tq5cuWKyWRS4okTJ7peFur69evV24t3EmjWrJka5+bmVrrr8+fPV9rGeVqaSotX8vLyXNzr86EGAAAAAAAAAPgVCmUAAABQZ911112/+93vlPjw4cPulGhUKjY2Vo137txZvU4uXbqkxvfee6/rxocOHareXryTQKtWrdT46NGjle569+7dlbapX7++GhuNRteNjx075uJenw81AAAAAAAAAMCvUCgDAACAuuyPf/yjGi9durTma+uEh4er9Rbp6enVm4PEYrGosfPsKeW23L59ezV24bUEGjVqpK4/tXHjRofD4aLxxYsX3Zl1pmHDhmr866+/umhptVp37drlooHPhxoAAAAAAAAA4FcolAEAAEBdFhUV9fjjjyvxyZMnv/nmm5r3+cILL6jxwoULXZeGlMu5ECQ7O9tFy9TUVJvNVtX+vZmAJElDhw5V4oKCgh9++KGilrIsr1ixwp30YmJiJElS4q+++spFyy+++ML1+Pt8qAEAAAAAAAAAfoVCGQAAANRxv//979V4w4YNNe8wMTGxU6dOSnzy5Ml58+aZzeaKGptMpg8//LDUjc7LFS1evLjc+gxZlr/44outW7fWPOGyPJvAgAEDgoODlfjvf//7iRMnyu1t1apVGRkZ7qSn1Wp79uypxCdPnty/f3+5zb777ru0tDTXXfl8qAEAAABUKuru5qN3r2nS4R5fJwIAAICAQKEMAAAA6rjw8PDhw4d7ts/XX389KipKidPT00eNGrV58+a8vDxlaSdZlk0m06lTp5YsWTJ8+PAvv/yybEo9evRQ4osXL44fPz4jI0OttikqKsrIyJg8efKaNWuEEEOGDPFs8h5PIDg4ePLkyermn//859TU1JycHGWuF6vVmpWV9eabb65fv14IMXDgQHcydJ62Z/78+Z999tmtW7dkWRZCWCyW06dPz5o16x//+IdWq1Xns/HCkQIAAAAAAAAA7nQ6XycAAAAA1Lqnn346LS3NgwvrGAyGxYsXv/HGGxcvXhRCmEymlStXrly50v0eJkyYkJGRUVhYKIS4evXqX/7yl3KbjR8/Pikpad26dR5Ju/YS6Nat24gRI1atWqVsbtq0adOmTeXutFWrVmrlkLq+UllNmjQZPnz4Z599pmx+9tlnauzs7bfftlqtrueV8flQAwAAAAAAAAD8BzPKAAAAoO7T6/WjRo3ybJ/h4eGLFi1KSUnR6VxVnyclJS1durTs7QaDYdmyZW3btq3ogXq9ftasWf369fNAruXxeAJDhgyZOXOmXq8v916tVvvmm28++uijyjQzCtdD99xzz40dO7aiexs2bLhkyZJ77ql8bnafDzUAAAAAAAAAwH8wowwAAAACwmOPPbZ69eri4mIP9qnRaAYNGvTkk09mZGQcPXr0+PHjFy5csFqtDRo0aN26dVJSUteuXWNiYip6eERExLvvvnv69Oldu3YdO3ZMmZwmJiYmISGhW7duycnJQUFBHszWCwl07Njx008//emnnw4cOJCRkXHr1q3IyMg2bdr06NGjW7duSg3N7du31fZhYWEuepMkacCAAb169dq9e/fBgwdPnTpVVFTUsGHD9u3bP/zww0lJSVqt1ldHCgAAymrc4z59o8iyt8uyXFJSom4GBQW5mFUOHhGWWE847K7baJpFidCmStxQNAwNql+2Tfu7wsNDyi+DdpPVahVCBAUFtQkOsRRaatIV7hSf/68kfrv6Gurr3degqU/TgffYbDaHw6HVat1/p4Y7nXLSlViSpLr0zrp+cFCINsSdlhp9kdSkw7+2o2JrKSUAgGdJsiz7OgcAAAAAgWL9+vUff/yxEn/55ZeB8D3ZmDFjDh06NG7cuJSUFF/n4r8KCwvNZnNISEh4eLivc4GXmEwmtXhRo9E0aNDAt/nAa6xWa0FBgSRJ0dHRvs4FXlJSUuJcKRsZGel6VjnUJXl5eUKIiIiIuvTtKVwLCwsrKipS4hkzZsydO9e3+cBrCgoKrFZraGio619EoC4xGo0Wy/8VQep0usjIcuplUSeZzebCwkKtVhsVFeXrXOAlFovFaDSqmw0aNNBoWLgmIDgcjps3bwr/OOkmk+mhhx4SQqxduzYuLq6GvXEFAwAAAPCePXv2KEFsbGwgVMkAAAAAAAAAAPwKv94AAMC/nD59eurUqUq8dOnSu+66y7f5+APGBDVkNpuHDx+uxBMmTOjdu3dNervjLkjPHn4N5eXlnTt3TokfffRRj/d/x50dAAAAAAAAAICXUSgDAKiR4cOHm81mJV6/fr2bE6/l5+ery08kJye/9dZbtZXfnclu/7/VvFkhUeWpMXG+YhWpqanuzxE6ffr048ePO9+yYMGCNm3a1CQl18omrJAkKSQkJCws7K677mratGnz5s3j4+NbtWplMBhqL5k7mnoJqYtne6S3mv+RVu9ZtKo8e/jVJsvy0qVL1c3OnTvXxl54CgUAAAgQ8tFVOfcIWS7xdSJ3jOO3mm38taC291LisKvxxwcvf/e3Hzzb/+Cw4sc3fOTZPuERylsw/5w3tMHQp2Jeet7XWQAAAD9CoQwAoEbsdrv6lWRVH6gEvv3WFoGm7BX7ww8/DBo0yJ3H3rp1KzMzs3byqpCLPzGbzWYymXJycjIyMtQb4+Lihg4d2rVrV52Ol3l3hmo/i/obWZZTU1OfffbZ8PDwchvY7fYPPvggPT1d2ezWrVuTJk28mCAAAADqHIddFkIWNl/nccdwyA6ro9aHy7lc3eaQzSUefr9js8sOs8WzfcKD/PP3CrKNJwoAAPBvauUXqwAAAHeKdevWuTntxK5du2o5Fw84d+7cO++884c//GHv3r1MpwEv+/LLL59//vn33nvv2LFjRqNRuQLtdnt+fv73338/ZsyYr7/+Wmmp1WrHjh3r02QBAAAAAAAAAAGKnxoDAIBApNFoZFmWZbmgoODcuXOtW7d23V6W5XXr1ilxcHCw1Wqt/RxL27hxo1ardU7J4XCYTKb8/PzTp09v27YtKytLuauoqGjBggVdunT585//HBQU5P1UEci+/fbbb7/91kUDnU63YMEC95c8AwAAAAAAAADAg5hRBgAABCKDwdC3b18lVme5cOHs2bMFBQVCCI1GM2DAgNpNrgKl1vmWJEmr1davX79Vq1Z9+vT561//umrVqkceeURtcODAgRkzZtSNZX1QZyQnJ3/88cfx8fG+TgQAAAAAAAAAEKAolAEAAAFKrXfZuXNnpTPEqMU0/fr1a9y4ce1mVl2RkZH/+Z//OXPmTPWWEydOpKam+jAlBA5Jkr744ou33377xRdf7NGjR6tWrcLDw4UQOp2uSZMmDz/88NixYz/++OPZs2crtwMAAACAwpxz4cj0foXnj/k6EQAAAAQKll4CAAABKjY2NioqKj8/XwiRnp7evXv3ilpaLBZ1KZn+/fv/8ssvXkqxWjp27Dhjxox58+Ypm5s3b37sscdatGjh26wQCEJDQxMSEhISEnydCAAAAIA7iizLdpuQZV/nAQAAgEBBoQwA4I5ht9t/+eWXI0eOHD9+PDs722azRUdHJyYm3n///Z07dw4ODnanE1mWs7Ozf/755+PHj589e/bmzZs6na558+Zt2rTp2LFjhw4d3Oyn3PQyMzP37dt3/PjxnJwcm82WkJAwf/78ss0OHTr0008/ZWRk5OfnR0ZG3nPPPd27d+/atWu1d12pWjpqWZaPHTu2e/fun3/++caNG6Ghoffcc0/nzp179eplMBjc78cnYyKEkCRpyJAhK1euFEKsW7fORaFMenq6EkRFRbVq1aoahTIOh+PUqVNHjx49efLk2bNnzWZzeHh4fHz8/fff37Vr14YNG1b7KMrVpUuXrl277t+/X9n88MMPZ82aVemjcnNz9+3bd+LEiZMnT5pMJr1e37Zt24SEhO7duzdt2rR6mdT8Iqm9v9mK+OqCrFROTs6hQ4eOHj164cKFvLw8jUbTqFGjuLi4++67Lzk5OSYmxiN7CZynC++MJwAAAAAAAADA31AoAwC4A8iyvG3bttTUVIvF4nz7lStXrly5sn37dq1WO3r06Mcee0ySpIo6MZlM33zzzbp16woKCpxvt1qtWVlZWVlZX3/9tSRJ48aN69u3r4t+hBDXr18fO3asEs+ZMycxMTErK2vOnDmlei4pKSn1wFOnTs2ZM8doNKq35OXl5eXl7du3LyQkZNq0aQ888IDLkagyTx112UO+du3aW2+9de3aNec+Dxw4cODAgaVLl06ePPl3v/udOxl6f0yc/e53v1MKZc6cOXPjxo3o6Ohym6WlpSnB0KFDXV8bZcmyvHPnzg8++KC4uNj59hs3bty4cWP//v3Lly/v1KnT6NGjmzRpUq2DKN/LL7+sFsocPnzYaDS6WO/m9u3bCxYsyMzMdL7RarWmp6enp6evWrUqLi7uzTffdF064PGLxIN/s+7z7QVZEaPR+Pe//10t2FJdvHjx4sWLP/zwgxCiXbt2L730Ups2baq9l8B5uvDOeAIAAAAAAAAA/JPG1wkAAFCJoqKiKVOmLFu2rFSVjDO73b5s2bK5c+fa7faK2kydOjU1NbXUF8ClyLK8ZMmS2bNnOxwO183svxFCpKenv/766657FkLs3LlzypQpzl/xOrNYLLNmzVK+oPUgTx11qUM+c+bMmDFjnL/2LtX4r3/969atWytNzydj4iwiIqJ9+/ZK/P3335fbJi8v79y5c0rcq1evKvVvMpkmT568aNGiUlUypaSnp48ePbpKPVcqJiamcePG6ubPP/9cUcvMzMyRI0eWqpIp5dy5cy+99NK+fftctPH4ReLBv1k3+fyCLNft27dffvnlslUdpZw4cWLy5MmurzTXAuTpwmvjCQAAAAAAAADwT8woAwDwaxaLZdKkSdevX1c2GzVq9OKLL3bo0KF+/fqSJFkslqysrJUrV164cEEIkZ6evnDhwqlTp7rosFWrVk8++WS7du2io6NDQ0OFEHa7PT8//8CBAx9//LHZbBZCHD58eM2aNS+88II7GR46dGjjxo1CiPj4+JEjR8bHx4eGhsqynJOT41xVcOzYsffff1/d/I//+I8hQ4Y0adJEo9GYzeYzZ86sWLHiwoULCxcufOaZZ6o8TJXx7FEfO3YsLS1NluV77713xIgRcXFxyiHn5eWlpaVt375dabZs2bJu3bpFRka66MeHY6IaMmSIspTShg0bnnnmmbLzZHz77bdKkJiYGBER4X7PxcXFEyZMyMvLUzb1ev2zzz7bs2fP6OhonU4ny7LRaMzOzv7mm2927drlgSMpo3///v/zP/+jxIcOHerRo0fZNufPn58+fbq6mZSUNGLEiFatWgUFBdlstsuXL69Zs0admeadd96ZO3duUlJSpbv21EUiauFv1kXO/nBBljV79uyioiIl7tat2+DBg5s1a2YwGCRJcjgchYWFyiQo6qjWUJ1/uvDyeAIAAAAAAAAA/A2FMgAAv/b++++rVTIDBgx4+eWXtVqteq9er+/QocN77723dOnSHTt2CCH27t3bv3//xMTEsl117Nhx2rRpzZs3L3W7Tqdr1KjR448/3qdPn7feeuvEiRNCiLS0tCeeeCIqKqrSDDds2CCEGDRo0KhRo9QaC0mSmjRpon5fa7fb58+frz5kxowZXbp0UTdDQ0MTExPfe++9999//7vvvlu/fn3l4+K22jjqzz77TAgxYsQI57ISSZJiYmLGjx/fsmVLZTEjIcT69ev/+Mc/ltuJD8eklKSkJK1Wa7fbCwsLT58+3bZtW+d7HQ6HUgglhKhqecTChQvVKpmkpKRp06YZDAb1XkmSIiIiEhMTExMT//jHP3766ac1O45yOK8ao5ziUux2++zZs9XNUaNGPf300+pmUFBQbGzs9OnTd+zYsXjxYuXG+fPnr169Ojg42PWuPXKR1NLfbLn854Is5fLly2fOnFHi3//+988995zzvVqtNiIiIiIi4r777ktJSfnqq69qsq9AeLrw5ngCAAAAAAAAAPwThTIAAI8ZPHhw2dk4yiXLsjvNzpw5s2fPHiXu0qXLmDFjyu1fo9GMHz8+Kyvr/PnzQoh//OMfH3zwQdmWKSkprncXEhIyc+bMF198UVnjadu2bcOHD3cnz6SkJOcqmbJ27txpMpnUNJy/4nU+ikmTJp0/f15d5ccjaumoe/fuPWTIkHLveuKJJzZt2pSbmyuE2L59e0pKSrkj48MxKUWn0w0YMGDz5s1CiC1btrz22mvO9546dUqZfEKr1bozk4rq2LFjBw4cUOL4+PhZs2Y513iVEhER8corr1Qne5caNWqkxpcvX5ZludS5+O67727cuKHE/fr1c66Scda3b9/r16+npaUJIcxm8/r1671zkdTe32xZ/nNBlnL69Gk1dl2qFRoaOmzYsJrsKxCeLmpjPK1W66VLl1y3UVahcjgcLtYHhPLaQFm6y9e5wEtKvSDk1AcOdf0+TnrgKLVoI/8nBqBaOumSe58tQFU3xsvNz5QAZ7zRqCXOf48MckDhJX0AKvWS3m638z9ygHD+e/f5SVefczySCYUyAACPKfVSqeac59iYNGmSi0oUSZImTJgwefJkIURubu6lS5datGhRjT0aDIbBgwcrUyC4/6X72LFjXVcIff7550oQGhr65JNPVtRMkqTx48crR+FN1TjqiiZ+EEJIkjR48ODly5cLIcxm882bN6Ojo8s286sxeeyxx5RCmV27do0bN06v16t3qVNKPP744y4qXcpas2aNGk+dOrVKj/WU+vXrO2/abLagoCDnW9SzIIQYNWqUi66GDRu2ceNGm80mhFi/fv2wYcM0Go3rvdf8InFH9f5my/KrC9KZWsmk1+tLnT6fuNOfLmpjPC9duvTss8+6btO6dWshhNlszs/P98hO6zCr1Wq1Wn2dBXzA4XDwBxJoZFnmpAesgoICX6cAbzMajbXRbZjFIsuVzHYJZ7aSEl+n4AHKO1OgSng75gXKws2+zgJexUkPZLdv3/Z1CvA2fzjpyq+ahYcKZSr5hgMAAF8pLi5OT09X4oceeig8PNx1+/j4+NDQUCX+8ccfq73f5ORkJcjPzzebzZW2j4mJadasmYsGN27cUL+aHTRokOuCifj4+FLFDd5RpaNOTk52fTratWunxjdv3izbwN/GpHnz5urkKwcPHlRvLyoq2rdvnxL369fP/Q6NRuMvv/yixMnJyU2aNPFQplWj0/1bSXSpX3jk5eUpM3kIIXr37u28LFRZwcHBTz31lBJbrVZl9iYXan6RuK+qf7Nl+dsF6UwdRrPZrM6q4lt39NOFH44nAAAAAAAAAMDLmFEGAOAxGzdudHPajLy8vErX+HD+Jr5Xr16V9ilJUmJiorLYzcmTJ91Jo1wRERFqfPv2befJRcpVaW7OB9KpUyfXjSVJpV73igAAIABJREFUevjhh9VZTLymSkfduXNn93u7detW2Qb+NiaSJA0dOnTp0qVCiLS0NPWc/vTTT0oQExPTvHlz9zt0PsBHH33UY4lWkeuq6uzsbDXu2bNnpb09+OCDGzZsUOIzZ87ExcW5aFzzi8R9Vf2bLcvfLkhnbdq0UeO333572rRprkuavOCOfrrww/EEAAAAAAAAAHgZhTIAAI9xvfyQM3fqaS5duqTGLVu2dKfbFi1aKIUyp06dqqiNLMsXL148duzYL7/8cvny5WvXrlksFucGzgtIFRQUNG7cuNKdum5w5coVNY6JiXHdWPy2QodnefaoK50fJTj4X3Nfl7uChj+MSSk9evRQCmXOnz+fm5urTDCzdu1a5d6hQ4e6f3mLf69BiY2N9WSiVVFqCplSE8xcvnxZjZs2bVppb87n/cKFC+43LlelF4nK43+zZfnhBamKjY1t1qyZcrIyMjKee+65nj179u/fv3Xr1rVU4VG3ny68P54AAAAAAAAAAH9DoQwAwE9dvHhRjSdOnKjRaMRvM2TIsqwGQgiHw6EEalmA0WiUZblsZcPBgweXL1+ek5PjZg6uv79XREVFuW5w9epVNXbni9iGDRtW2qZKPH7UISEhNUzJ52NSVnh4+AMPPHD48GEhxLfffvvcc89dvXpV/Ya+R48eVerN+at95wkzvKygoMB5s1SBmvNZcGctobCwMDV2LrIpV80vEkVt/M2W5YcXpEqSpNmzZ0+YMKG4uFi5Ze/evXv37hVCREdHd+nSpXPnzu3atXM+OzVR558uamM8mzRp8v7777tu88EHHwghQkJCfLK43p2iuLi4pKQkKChIXUgRdZ7ZbFafRiRJqnSdTdQZNptNWVacZ8XAYbfbnRc9DAsLc3MuUtQByrsSg8FQqnDfI7TBwZKQXE2kiX9XG2fB+7R14ijgZcHBwbzwqA3K+zgl1mq1nvp0Av7ParWazWaNRlOvXj1f5wIvKSkpUT9PE0KEh4dX6ZeluHPJsmw0GoV/nHT1jaRHMuE1JQDATzm/6jKbzTXvcMWKFVu2bKl5P6VU+jGT8xfJSrmPa56qMFDU0lHXkG/HpCJPP/20UiizadOmZ599dseOHcrtnTp1qupbPucDDAoK8mCSVZKbm6vGzZo1K/XaUf0gQ7j3aanzmSo1xUgt8drV658XpComJuajjz5KTU1Vr0nFjRs3tm7dunXrViFEp06dRo4c6ebkWxUJkKcLj4+nwWDo3r276zYff/yxEEKr1TrPoINSrFZrSUmJRqNhlAKH8/9EkiRx6gMNJz2gOP+9CyGCgoLqxrf1cF9QUFBtvDOSNRohCUGljNt8/t2GR2jqxFHAy3g7VkucPyDi1V1AUeYb5qQHFOW3yqqgoCB3PqlDHaDOL+4PJ119a0mhDACgLvPsJ6e7du1SvwDWaDRPPPFEt27dmjZtGhYWptPpJElS/1u9cuXK2LFjPbhr53cLDoej0p9OerAEwYdH7ZoPx8SF++67Lzg42Gq1FhUVpaenb968Wbn96aefrmpXzgdYUlKi1+s9lmVVnD59Wo3bt29f6l7nz6lLLdJULucFd7xQKeLNq9c/L0hnBoPhT3/6U0pKytGjR/ft23fgwIFSOaSnp6enpw8ePPjFF1+s3puEgHq68MJ4AgAAAAAAAAD8FoUyAAA/1bhxYzX+7LPPajJ1p91uX758uRLXr19/0aJFLtZLcqdioEqcD6SoqKjShXhu3Ljhkf369qhd89WYuKbVap944okNGzYIId5++22bzSaECAkJSUhIqGpXTZs2VeOCggJfrSWhzI2heOCBB0rd63wWjEZjpX9izrPlOx9gbfDy1eufF2RZyswl3bt3l2X51q1b586d27Nnzw8//KCOwIYNG1q2bNm7d++q9hyYTxe1N54AAAAAAAAAAH/GnEgAAD919913q7HzCjLVcOXKFfU7/okTJ7r4AlgIcf369Zrsq6xmzZqpcU5OTqXtz50755H9+vaoXfPVmFSqb9++SqBUyQghnnzyyUpnsCjLecWWCxcueCS3qsrJyXE+rR06dCjVoHnz5mp85cqVSjt07q1Vq1Y1TtAVL1+9fntBVkSSpKioqI4dO7766qtpaWkpKSnqXStWrHCe+8dNAf504fHxBAAAAAAAAAD4MwplAAB+KjY2Vo0PHTpUk64uXbqkxvfee6/rxjXcV1nOB3L48OFK23///fce2a9vj9o1X41JpZo2bXrXXXc53/Loo49Wox/nA9y5c2cNs6qeDz/8UI07depUr169Ug2cq3l+/PHHSjs8cOCAGrdu3brGCbri5avXby9Id+h0ukGDBqk1XkVFRTdv3qxqJzxdqDwyngAAAAAAAAAAf0ahDADAT0VERLRr106J165dq87wUQ0Wi0WNXc8OYrFYtm/fXu0dlathw4bq9AwbN250vWrJmTNnbt++7ZH9+vaoXfPVmLhj6NChatysWbNSdTNuCg8PV6sN0tPTvTwDhxDi0KFDzrUvzjNkqBo1atSwYUMl3rFjh9lsdtFhSUnJV199pcTBwcFxcXGeS7YcXr56/fmCdFP37t3V2Gg0VvXhPF2UUsPxBAAAAAAAAAD4MwplAAD+a8SIEUpQXFy8cuXKavejVgMIIbKzs120TE1NrUlFTkWGDRumBEVFRdu2bauomSzLS5cu9dROfX7UrvlkTNzRp0+fr36zbNmyavfzwgsvqPHChQu9uXrLzz//PGfOHHXzqaeecl5lyZl6FmRZ/vTTT130uXHjRrWWYuDAgRpN7b6G9P7V67cXpJucZz0pO3tQpXi6KKWG4wkAAAAAAAAA8GcUygAA/Ff79u179uypxFu3bk1NTXU9l4AQIi8v75NPPjGZTM43tmrVSo0XL15c7re8six/8cUXW7durXHW5ejbt6/BYFDi5cuXHzlypNwEli5deubMGU/t1OdH7ZpPxsSbEhMTO3XqpMQnT56cN2+eiylbTCaT80pJ1WY0GpcsWTJjxgxZlpVb2rdvX+50Moo+ffqoc3Vs2rSpoplCdu/evXr1aiUOCQlxnnSnlnj/6vXbC3Lt2rWZmZmun/qKi4s/+eQTJdbr9c5VL24KnKcL74wnAAAAAAAAAMCfUSgDAPBrkyZNUte+2bRp0wsvvPD1119fu3bNarUqNzocDpPJdOHChW3btr366qspKSlpaWmlZu8IDw/v0aOHEl+8eHH8+PEZGRlq1UJRUVFGRsbkyZPXrFkjhBgyZIjHj0Kn002bNk3dnDlz5rJly65du6bkabVaT5w4MXnyZKVMYeDAgR7Zqc+P2jWfjImXvf7662oZSnp6+qhRozZv3pyXl6d8SS/LsslkOnXq1JIlS4YPH/7ll19WYxdKJ5cvX969e/f06dOff/5552KXTp06zZkzx8XsL1qt9i9/+Yu6uWTJkvnz51+4cEGpk7Db7ZcuXVq4cOFf//pXtc0bb7yh1+urkWqVeP/q9dsL8uzZs9OnTx82bNiKFSsyMjJu3rxZUlKi3GW32/Pz83ft2jV69Oj8/HzlxrFjx0qSVNW9BM7ThXfGEwAAAECV6BvHPvD2t/XuTvR1IgAAAAgUOl8nAACAKyEhIe+9997cuXMzMzOFEIWFhcuXL69GPxMmTMjIyCgsLBRCXL161bk4wNn48eOTkpLWrVtXk5zLlZSU9Morr6hL+WzdurXciRkmTJgQGxtbvZqJcnvz7VG75pMx8SaDwbB48eI33njj4sWLQgiTybRy5cqaLCI2ePBg9Tt7WZZdLOdkMBjGjx/fs2fPSr/jj4+Pnz179uzZs5Xe9u/fv3///ooav/baax07dqxW7lXm/avXny9Iq9W6ZcuWLVu2uG7Wr1+/Rx55pHq7CKinCy+MJwAAAAAAAADAbzGjDADA3+n1+nnz5s2YMSMiIsJ1S0mS+vbtu2jRovDw8FJ3GQyGZcuWtW3b1sVeZs2a1a9fPw9kXIH+/fv/93//d1hYWLn36nS66dOnP/roox7coz8ctWveHxMvCw8PX7RoUUpKik7nqjo5KSlp6dKllfbmcDjsv6moSiY2Nnbq1KmffPJJr1693JwJIzk5+aOPPrr33ntdtGnZsuWKFSsefvhhdzr0CJ9cvXfuBRkeHj5lypRx48ZVe/oTni6c1Xw8AQAAAAAAAAB+ixllAAB3AEmSunTpsmrVquzs7IMHD54+fTorK+vWrVtCiJiYmBYtWrRu3bpDhw5t27YNCgqqqJOIiIh333339OnTu3btOnbsmDLJR0xMTEJCQrdu3ZKTk1081lPat2+/evXqgwcP/vTTT0eOHLl161ZkZGSbNm169uz54IMP1saKNv5w1K55f0y8TKPRDBo06Mknn8zIyDh69Ojx48cvXLhgtVobNGjQunXrpKSkrl27xsTEVKNnvV4fFhbWtGnTpk2bNmvWrE2bNnfffbfBYKhGV1FRUQsWLMjJydm7d+/x48dPnDhRWFhoMBjuueeehISE7t27N2/evBrd1pBPrl5/uyCnTp2am5ubnZ19/vz5X3/99erVq7m5ucXFxQ6HIyIiomXLlgkJCcnJyW3btnWxxpabAuHpwpvjCQAAAAAAAADwT5Isy77OAQAAAADqrDFjxhw6dGjcuHEpKSm+zsV/FRYWms3mkJCQstPCoa4ymUzFxcVKrNFoGjRo4Nt84DVWq7WgoECSpOjoaF/nAi8pKSm5ffu2uhkZGel6wkXUJXl5eUKIiIiIWqm6tlkcGlkwC6Db7LKwOmp9uGIiooqKipR4yhtvzpg5y7P9B9lswQ67Z/uERxiNRqvVGhoaWr3f8NQqKThIow/xdRZ1kNFotFgsSqzT6SIjI32bD7zGbDYXFhZqtdqoqChf5wIvsVgsRqNR3WzQoAE/MwsQDofj5s2bwj9Ouslkeuihh4QQa9eujYuLq2FvvCkFAAAAAAAAANxpdCF8P1MlGkkEeXfIQnSa+nqP10j5eKpLVEQjHBprkCY0VFvBmrkAAAD+g0IZAAAAAHcws9k8fPhwJZ4wYULv3r19mw8AAAAAAAAAwJ9RKAMAAADAleHDh5vNZiVev369z+fYLMtu/7+p1x0Oh28zAQAAAPxf/pfbzGfP16SH0L5tpLbBFdz5r9fkmYevfvzP/TXZUa3StIi4FOSzpbvi4oruCtPWCzKrt+hlqd3lE/+fvTuPb6pKHz9+bpK2aUsXKC27RTZZLJ2yKdsgqCCII1YcZGZYREcQBlERHEZFxPHnuOACCkOZwXEUUcoysggoShX6FWkBKwVKgQoUSqEb3bPf3x93vGbSNk3btEmbz/sPXs+9OTn3SU5uuUmenOOpfKoly5rv1+W72NhkMtlsNp1O1xjr69367gJJwzprAADAbSiUAQAAAOCM1WpVK1EAAAAANHdlh4+VHmxQ/YpmeIDNYqr+NklWwwtZRV/vyWzIgRpV+5Fd91nMnjr67aElfa2tWvldVfeEaIN6/5TkqXyqpw3I+LtXjOCtqx4XgkIZAADgNhTKAAAAAGiokpKSGTNmKPGiRYuGDRvm2XwAAAAAAAAAAKgWhTIAAAAA3ECddUaWZectAQAAAAAAAADwFI2nEwAAAAAAAAAAAAAAAACaAoUyAAAAAAAAAADAM4pLL3+046FrBZmeTgQAAAC+gkIZAAAAAAAAAADgGbIQNptVCJZwBQAAQBPReToBAAAAAL5LluWLFy/++OOPJ0+ePHfuXGFhoU6n69y5c8+ePQcOHNi/f39/f39P5wgAAAAAAAAAaDkolAEAAABQf3Pnzr1y5Yos//Lrz9dee02jqWbqysTERJ3ulzcg5eXlX3755ebNm0tKSuybmUymzMzMzMzMXbt2SZI0d+7csWPHSpJUv/R2796dkJCgxCtXruzSpUutd7Farb///e+NRqMQonfv3q+88kr9Dg0AAAAAAAAA8EIsvQQAAACg/qxWq9Vqtdls6h5Zlq3Vcbjj4sWL169f71Al40CW5ffee+/FF1+0779ORo0apSawfft2V+5y9OjRiooK5S4PPPBA/Y4LAAAAAAAAAPBOzCgDAAAAwGOio6PvueeePn36REREBAYGCiGsVmtRUdHhw4c/+OADg8EghDh69OiGDRumTZtWj/6DgoJGjx69f/9+IcTevXsffvhhvV7v/C4bNmxQgoCAgNjY2HocFAAAAAAAAADgtSiUAQAAAFB/a9euFUJcv359+vTpyp5FixaNHDmy1jsOHDhwyZIlnTt3dtiv0+kiIyPvvvvuO+64Y+nSpadOnRJCJCYmTpw4sXXr1vXIMD4+XimUEUIcPHjwjjvucNI4Nzc3KytLvaNWq63HEQEAAAAAAAAAXoullwAAAAA0lEajqTZ2YtasWVWrZOwFBAS88MILAQEByuaePXvql1t0dHSnTp2UeOPGjbIsO2m8a9cuNb7zzjvrd0QAAAAAAAAAgNdiRhkAAAAAXiooKCg+Pn7jxo1CiD179kydOrV+/fzhD3949dVXhRB5eXk//fRTt27dqm1mMpl27NihxL17927btm2tPV++fPmZZ55x3sZmswkhDAbD9evX65a3L1GeJZPJxLPkO5RBV2OG3ncoBYuyLDPovsOhSrW0tFSSJE8lA48oKytj0L2K2WxuYA8Wi6UF/AbXYrF48Og22WaxWoSf3R67qyMvIQtnPzNoStevX5e0LeBF19LYv2itVitXd75DGXrex/kUh0v64uJiru58TUlJiadTEBUVFUrglqsmCmUAAAAAeK+4uDilUKaoqMhgMOj1+np0MmTIEK1Wa7VahRBbt259+umnq232/fffq++yHnzwQVd6NhqNGRkZztt0795dCGGz2Tz7QXyzIMsyz5LPYuh9EIPus5T/keFTGHRv43ySxabpwTt49FHIjk+jNz6nXpOTxWKRZAplvBrv5nwQg+7LuLrzQd5wvrs3By4sAAAAAHivsLAwNS4uLq5fJ35+fvfdd58Sf/vtt+qPDxx8/PHHShAQEBAbG1u/YwEAAAAAAAAAvBkzygAAAADwGFmWs7Oz09PTT5w4cfny5dzcXKPRaN/AfiLNkpKSdu3a1e9AEyZM2Lx5sxInJSVNmDDBoUF2dvbly5eVOD4+XqvV1u9AAAAAAAAAAABvRqEMAAAAAM9ISUlZu3bttWvXXGxvMpnqfay2bdvGxMQcP35cCLFx48bx48c7LKX82WefqfHYsWNd7LZVq1bjxo1z3ubChQtCCK1WGxAQULekfYnFYrFarRqNxs/Pz9O5oIkog67EkiT5+/t7Nh80GZvNZjabhRD8VfQd6qAr/P39Hf4XRgum1ED7+flpNExt7kUaPhwajUaIZr/mgkbSCNlWe7vGIUmSRtI47PFUMjXymowCAgIkLX9GvA6X9D7LarVaLBYG3adwSe+zZFlWPpL1hkF375pfFMoAAAAA8ICEhISdO3c25REffPBBpVCmuLj49OnTvXv3Vm8yGAxffPGFEvfp0yciIsLFPqOiol5++WXnbWbPni2ECAgICAkJqU/evqGsrMxqtfr5+fEs+Y7y8vLKykolliSJofcdJpPJbDYz6D7FbDbbr58YFBSk0/GZpK9QCmWCgoKohfUq1xt8Dmq1WlsLKJTRaoXFk4UyDtNYajz95VNVktdUyoSEhFAo44VKS0vV7yy1Wi1Xd77DYDCUlZVpNBoG3XcYjUb7QplWrVpRBu0jbDZbYWGh8I5BVxNwSya8KQUAAADQ1JKSktQqGY1GM3HixKFDh3bs2DE4OFin00mSpP5AIScnZ86cOW456M033xwSElJaWiqE2Lx583PPPafedPDgQTV+8MEH3XI4AAAAAAAAAIAXolAGAAAAQJOyWq1r165V4tDQ0FWrVrVu3dpJY3cdV5KkqVOnJiQkCCEOHz5cUlISGhoqhJBl+eOPP1baBAQE9O/f311HBAAAAAAAAAB4G+ZEAgAAANCkcnJyysvLlfjxxx93UiUjhLh69aobDz1mzBg1/uqrr5QgKysrPz9fiePj4x3mPwcAAAAAAAAAtCQUygAAAABwJ1mWnTe4dOmSGvfu3dt54yNHjrghp58FBQWNHj1aiTdt2mSz2YQQW7ZsURuMHTvWjYcDAAAAAAAAAHgbCmUAAAAANJRG88s7C4vF4ryx0WhUY+fTtxiNxr179zYwNwfx8fFKUF5efuLEifLy8oMHDyp7+vXrFxER4d7DAQAAAAAAAAC8CoUyAAAAABpKr9ercV5envPGbdu2VeOLFy86abl+/fpay27qKjo6umPHjkr8ySef7N+/X71pypQp7j0WAAAAAAAAAMDbUCgDAAAAoKF0Ol1wcLASp6SkOG8cHR2txu+++261pTCyLH/66ae7d+92Y5KqP/zhD0pw/Pjxf/7zn0qs1+tjYmIa43AAAAAAAAAAAO9BoQwAAAAANxgzZowSZGRk7Nixo7S0VJblaluGhIQMHz5cibOzs+fNm5eWlmYwGJQ9FRUVaWlpCxcu3LBhgxBi8uTJbk/1lltuUZd8slqtShAfH+98HSgAAAAAjSE8pNP0e/8dFXGTpxMBAACAr9B5OgEAAAAALcGkSZN27NihxOvWrVu3bp0QQqPRSJKk7ExMTNTp/vsGZP78+WlpaWVlZUKIK1euPP/889X2OW/evNjY2M2bN7s3VT8/v/vuu8+h27Fjx7r3KAAAAAAAAAAAL8SMMgAAAADcIDIy8plnnlHLYhQ2m836M/v9QUFBa9as6dWrV0296fX6ZcuWjRs3rpGynTBhgv1mv3792rRp00jHAgAAAAAAAAB4D2aUAQAAAOAew4cP/+STTw4dOpSSknL+/Pnc3FyLxVJT47CwsNdff/3MmTNJSUnp6enZ2dlCiKioqL59+w4dOjQuLs7Pz6/xUm3btm3v3r0zMjKUzQcffLDxjgUAAAAAAAAA8B4UygAAAABwZtOmTa43DgwMHD169OjRo11pLElSr169nMwrI4Ro37799u3bnTTQ6/XOG1RLluWcnBy1h5tvvrmuPQAAAADNVPjddwT/qkEXwP4R7SV/ffW3yb9MY983tt3vfj+oIQdqVHLbwFg/raeO3r69oU2gFKzrrO7xt8lSTCtP5VMtWZaGvFnsYmODwWC1Wv38/Pz9/d2fyv/OXQoAANBAFMoAAAAA8DmnT58uKSlR4vvvv1+r9djn4wAAAEATCxk2uDG7/6WgoVvPiHH39GnMY7U4rb3r6ZKE6PeEq41LSkpMJlNgYGBwcHBjJgUAAOAGmtqbAAAAAEDLsmPHDjW+8847PZgJAAAAAAAAAKApMaMMAABoBgwGw9SpU5V4/vz5Y8aM8Ww+DXHmzJnFixcr8erVqzt06ODZfLzN1atX58yZo8TLly+PiYnxbD7NTks6WRpPcXHxgQMHlDg2NrZNmzaezQcAAACwl3fopCzX875BrbTauv88VtO5lRTiri8Lfkm9qKDi7Ok8N3WLWsg6TaXe1UEM1Nu0flb3JlBeXm42mwOslYHWSvf27Eat/IRWEqGSxc9stpUYNR17eDojAADgGRTKAADgu9LS0pYtW6bEf/jDH+6//34X77hly5aPPvpIiZ9//vkBAwY0RnoOrNb/foJjs9ma4HCNSn0scr0/+3Tq6NGjL730krq5aNGiYcOGNcaBGoMsy+rz08SmTp1qMBjqeq/IyMiEhITGyKfeWtLJ0kg+/vhjNZ45c6bnEgEAAACq8fltT9pMlvrdd8TUPuZLl+p6r8gPplj8Sup3REfSL29DkvefL83Z455uUZsb+kR9Hu7nYuPfDNflyHV+nbQAd3QKk8T1UXpNRGGR5dhF/2l/83RGAADAMyiUAQDAp9WvYsODpQxwxZYtW+wHaNOmTc2oUMaDrFZrPV7YnAvNS0VFxe7du3fv3q1s9uvXr3v37p5NCQAAAAAAAADQlCiUAQAALUFJScmMGTOUuHlNoOJ2xcXFx48ft9+TlZWVn5/ftm1bT6UE2PPI2frWW2/t37/fYadGo3n66aeb4OgAAAAAAAAAAO9BoQwAAGghGns9o+bi22+/rbrzq6++mjJlStMn03xt27ZNq9V6OosWyxvOVkmSXnrppYiICE8lAAAAAAAAAADwCAplAABAM6DX67dv3+7pLJoBWZY3bdqkxH369NHr9ceOHRNCbNu27YEHHtBoNB7NrjmRJMnTKdQTJ4tzGo2mS5cuw4YNmzBhQlhYmKfTAQAAACCKSy/vSHpu7LAlURG9PJ0LAAAAfAKFMgAAAC3HTz/9VFxcrMT333+/TqdTCmUqKioyMzN79+7t0ewAj3nyySeffPJJT2cBAAAAoBqyEDabVQifnh0WAAAATYlCGQAAgJZj586davyrX/1Ko9FoNBqbzSaE+OyzzyiUAQAAAAAAAAAAPo5CGQAA0ERkWU5PT//2229//PHHgoKCwMDAm266afDgwSNHjgwKCvJ0dsJqtZ44ceLYsWMnT568ePGixWKJiIiIiYn51a9+NXjwYH9/f9f7OXLkyKFDh9LS0oqKisLDw2+66aZhw4bdcsstrndSPyaTad++fUo8ZswY5XDjxo3bvXu3ECI5ObmioqLeT7XVaj1+/HhycvLJkyevXbtmsVj69u378ssvOzSTZfnixYs//vjjyZMnz507V1hYqNPpOnfu3LNnz4EDB/bv379+T4LZbD58+HBycvLp06eVZzU2NvaWW24ZPHiwVqut3yNqelar9dixY99+++2pU6cKCgrCwsL69u175513xsbGVl3pqbCw8Jtvvjl8+PCFCxfMZvONN944ePDgsWPHNtJqQS6Or2i0Ia5Tqm45Va9du3bkyJEffvjhwoUL+fn5Go0mMjKyW7duN998c1xcXFRUVKM+CgAAAAAAAACAp1AoAwAA3O/q1atz5sxR4uXLl8fExOTm5i5dujQ3N1dtYzKZDh8+fPjw4dWrVy9cuPDXv/61kw4NBsPUqVOVeP78+WPGjFHi/05dAAAgAElEQVRvmjt37pUrV2T5lymaX3vtNY1GU7WTxMREna6aix9Zlvfs2bN+/Xqj0Wi/PycnJycnZ+/evVqt9tFHH73rrruqVjM4OH369PLly0tLS9U9+fn5+fn5ycnJAQEBS5YsGTBggPMeGiIlJUWNJ0yYoAR33XWXUigjhDh06JD9U1eTqsOXmZm5fPnykpIS+2Zms9l+s7y8/Msvv9y8ebNDM5PJlJmZmZmZuWvXLkmS5s6dO3bs2FqfSXvHjx//61//WllZqe7Jz8//6quvvvrqq+Dg4Gefffbmm292vbemUfU5zMrKWrp0qf2TU1BQcODAgQMHDkRHR/+///f/QkJClP1Wq/Uf//jHrl277DvMyMjIyMj48MMP58+ff+eddzo5tJOTpabcXBlf4Y4hbuDZ6q5TtbS09K233kpNTXXYn52dnZ2d/c033wgh+vTp88gjj/Ts2dNJPwAAAAAAAACA5qiaT6UBAAAaSJZl68+EEGfPnp09e7Z9lYxD4zfeeEMt5qiJ2qGykJDDfvud9ke3V223FRUVixYtWrNmjcNX7w6HWLNmzUsvvVRTJ4p9+/YtWrTIvkrGntFoXLZsmfIdfCNJTExUgqCgIPUL/q5du4aGhirxpk2bXOnHYfhSU1Offvpph9qIqhYvXrx+/XrnzWRZfu+991588UWHQXTi8OHDzz77rH2VjL3y8vK//OUvn3/+uYu9NRmH5/D48eNPPPFETU/OhQsXFixYYDKZhBAWi+WZZ55xqJKxt2rVqi+//NL50Ws6WarNzcXxFe4Y4oacre46VYuLi//4xz9WrZJxcOrUqYULF9b0wgMAAAAAAAAANF/MKAMAABpXenp6YmKiLMu9e/eePn16t27dAgMDZVnOz89PTEzcu3ev0mzNmjVDhw4NDw9vytyMRuOCBQuuXr2qbEZGRs6YMaN///6hoaGSJBmNxszMzHXr1l24cEEIkZqaumLFisWLF1fbVXp6+sqVK9XN22+/ffLkye3bt9doNAaD4ezZswkJCRcuXFixYsX999/fGI8lPz8/KytLie+99151Rg1JkuLj4//1r38JIXJycq5cudKhQwfXuz1y5Mi2bduEED169Jg5c2aPHj2U4bt27VpycnLV9tHR0ffcc0+fPn0iIiICAwOFEFartaio6PDhwx988IHBYBBCHD16dMOGDdOmTXPl6Fu3bhVCdO7cefbs2b169dLr9TabLTc3d8uWLeo6U3//+987dOgQFxfn+uNqSj/88MOWLVuEEIMGDfr973/fpUsXPz8/s9mclZX19ttv5+TkCCHy8/P/+c9/PvbYYytWrMjMzAwICJg1a9att94aFhYmSVJJScmePXs2bNigdLhq1aqhQ4e2atWq4bnVdXyFu4fYRW48VV988cWKigolHjp0aHx8fKdOnYKCgiRJstlsZWVlyqQy6p8mAAAAAAAAAEALQ6EMAABoXBs3bhRCTJ8+/f7777ev3oiKipo3b94NN9ywbt06ZeeWLVsefvjhuva/du1aIcT169enT5+u7Fm0aNHIkSNdue/KlSvVr94nTJjwxz/+UavVqrfq9fr+/fu/8847q1ev/uKLL4QQBw8eHD9+fExMjEM/Vqv15ZdfVjefe+65IUOGqJuBgYExMTHvvPPOypUrv/76a6Vmwu2++uorNR49erT9TaNGjVIKZYQQe/funTlzpuvdKnUqkyZNeuihh+yHr3379g4VPwMHDlyyZEnnzp0detDpdJGRkXffffcdd9yxdOnSU6dOCSESExMnTpzYunVrV44+cuTIp556Sh0arVbbqVOnxx9/fNiwYcuXL1d2vvLKKxs2bPDz83P9oTUZZaafOXPmqOthCSH8/f179+69cuXKuXPnXrt2TQixe/fu8PDw5OTkjh07vv766+pKTEKIsLCwKVOmtG/ffsWKFcqeHTt2qOsrNYTr4yvcMcT1Plvddapevnz57NmzSvy73/3uwQcftL9Vq9WGhYWFhYXdfPPNs2bN2r59e62JAQAAAAAAAACaHQplAABAoxszZszkyZOrvWnixIn/+c9/8vLyhBB79+6dNWuW+m19nWg0mmpjJ86ePXvgwAElHjJkyOzZs6s9tEajmTdvXmZm5vnz54UQb7/99j/+8Q+Hlvv27SsvL1fiWbNm2VfJ2PezYMGC8+fPq/O+uJHNZlMqHoQQHTt2bN++vf2tERER3bp1U467c+fOadOm2RcZ1Co2Nta+iqIms2bNct4gICDghRdemDFjhrJ0zp49e1wp9ejcufPChQurHdNBgwY9+uijCQkJQgiDwfD555/fe++9tXboovj4eBdfiqtXr651kp7x48fbV8mo/P39586du2zZMmVTqSp75ZVX7KtkVL/+9a8/+ugjpV7k888/d0uhjHB5fIX7hriuZ6sbT9UzZ86osfO5nQIDA6dMmVJrbkKI4uLiWhf/Up4Qs9nMWk5OWCwWIYTVauVZ8h3KoCtkWWbofYeyQB6D7lMcVkU0Go1ms9lTycAjjEaj/Z99NCqbLNfjXlaXl8eF13J9jWOh/GV26bOTlsZmk7UaIdtkm81ms9m4Gmkg+//ieT59inItx6D7FIdrOYPBUL+P8dHsyD9fW3rDoKt/c+R6XfE6oFAGAAA0OifzxCgLAynzTBgMhsLCwoiIiKbJ6uOPP1bjBQsWOLnIkyRp/vz5CxcuFELk5eVdunSpS5cu9g0++eQTJQgMDLznnnuc9DNv3jylH/c6ffq0eo1YbU3S/fff//rrrwshTCZTenp6bGys653PmTPHXVfAQUFB8fHxSjmIi4Uy8+bNc1JLMX78+I8++khZSefTTz/9zW9+465UXf+E0ZWL8hkzZtR0080332y/GR8fX9NEO5Ik3X333evXrxdCFBcXl5aWVltPU1duHF9RryGulRtP1YKCAiXQ6/Xumn+ooKBAnemnJt27dxdCmM1mtaIONbFYLHyL5ptkWeYE8UEMus/iCxUfpCzQiaYh16vkxWa18WVXc1enaiebzeabhTKybBNCWG02m81mtVoruRpxH5vNxtWdr+F9nC9TVzaH7/CGQVdzcEuhjE9eCgEAgCYUFxfn/Ov8Pn36qHFhYWHjZySEEJWVlampqUo8atSoWgsOevToERgYqMTfffed/U0FBQXqt++TJk1yPllLjx49QkND65l0zezXiLn11lurNhg8eLAaq3PPuCIqKqpTp04Nyc1BXFycEhQVFdX6cbler+/bt6+TBlqtNj4+XonLyspyc3PdkqR7DRo0KCgoqKZb/f3927Vrp27efvvtTrrq1auXGl+/fr3hubl9fEUdh7hWbjxVhRDq3Q0GAx/lAAAAAAAAAIBvYkYZAADQuOxLNKoVFhamxm757t8VyuIsipEjR9baXpKkmJiYw4cPCyEyMjJq6mrQoEG19nPbbbfZ17U0XEVFRXJyshLHxcW1atWqahu9Xj98+HCl2bFjx1yfjMSVJ6dO7Ie7uLhYr9c7aTxixIhaJzsZMGDARx99pMRZWVm1roLkom3bttVpgSonBg4c6LxBx44dlQWVhBDO83c4WRymS6kHt4+vqOMQ18qNp6oQomfPnmr8t7/9bcmSJU5qmAAAAAAAAAAALRKFMgAAoHG1b9/eeQN/f381NplMjZzOf126dEmNb7jhBlfu0qVLF+Xb99OnT9vvz8nJUeOoqKha+1EWYXGjQ4cOqfG9995bU7OJEyeq9TQHDhyYMGGCK53XtRRDluXs7Oz09PQTJ05cvnw5NzfXaDTaN7Bf0qikpMR+MpWq7MsaamLfg/2wNpAbVyNy/hiFEGqtRkBAgE7n7Po8ICBAjZXVoBuoHqU27h3iWrnxVBVCdO3atVOnTpcvXxZCpKWlPfjggyNGjBg/fnz37t2pmAEAAAAAAAAAH0GhDAAAaFz2X+17j+zsbDV+/PHHNRqN+HlhS1mW1UAIYbPZlMBqtSrtS0tLZVlWCymuXLmiduXKd+1t27Z116NQfPrpp0qg0Wj69+9fU7PevXv7+/srpUibN28eP368K7UgrVu3dj2TlJSUtWvXXrt2zcX2tdZFRUZG1tqJus6O+N+x8B61ngLKy08I0cDJV+qhTuMrGmGIa+XGU1UIIUnSiy++OH/+/MrKSmXPwYMHDx48KISIiIgYMmTI4MGD+/TpExwc7HqGN954o1KX48Rjjz0mhAgKCnL76d+SlJWVGQyGgIAAF+e7QgtQXl6unowajaZNmzaezQdNxmQylZSUSJIUERHh6VzQRMxmc3FxsboZHh7uvDgYLUl+fr4QIiwszM/Pz9O5+AqtVmurvZUjPz+dxf25oEn51eVPq5+fn5AbLxfvpcwdq9NpdTqd8PML5j1aw5SWlqo/ntHpdOHh4Z7NB03GYDCUlZVptdq6frKE5stoNJaWlqqbbdq0UT/SRMtms9kKCwuFdwx6eXm5ErglE96UAgAAIey+WnZ7Y++kfjMnhDAYDA3pyr4UwJXrM/dWDl2+fFmtDhk3bpyTrxy0Wu3EiRO3bt0qhMjPz7948WJ0dHSt/bv+HUZCQsLOnTtdbOwi+9mGamK/QJLD1CbNTtO/06jTd1SNMcS1cuOpqoiKinr//ffXr1//xRdf2O8vKCjYvXv37t27hRCDBg2aOXOmixPYSJLkxvmHAAAAAAAAAACNjUIZAAB8l/135GoprivsGzfT3wW68Tes9sUcNpvNvm6jWu4t5vjyyy/VePfu3Q7f/TuwXxPn888/V2a5cIukpCS1hEKj0UycOHHo0KEdO3YMDg7W6XT2lQQ5OTlz5sxxsVtX5iOxf1CuFNagfhppiGvVGD83DwoK+tOf/jRr1qwffvghOTn58OHDDmdlampqampqfHz8jBkzKIIBAAAAAAAAgBaGQhkAAHxXWFiYGtdpzZqcnBw1bqazqrZr106NN27cWKeVVpx0VVFRYf+sVqugoKDex3JgtVq3b9/usMfF++7du/eRRx5xS52T1Wpdu3atEoeGhq5atcrJtKt1mo5ImafduYqKCjXu0KGD653DdY03xLVy46nqICgoaNiwYcOGDZNl+fr161lZWQcOHPjmm2/U/Ldu3XrDDTeMGTPGXUcEAAAAAAAAAHgDFg8DAMB3tWnTRo3Pnj3r+h3PnDlTbSfNyI033qjGeXl5DemqU6dOanzt2rVa22dlZTXkcPaOHz9usdRzHXmbzXbs2DG3pJGTk6NOMvT44487X5z46tWrrvfsysvSfvg6d+7seudwXeMNca3ceKrWRJKk1q1bDxw48IknnkhMTJw1a5Z6U0JCgv2URQAAAAAAAACAFoAZZQAA8F2BgYFBQUHKhBwFBQVlZWWtWrWq9V6lpaVFRUVKrNfrg4KCGjfLupNludY2Xbt2VeMjR47Yb9aV/X2PHj3as2dP5+33799f72M52LJlixp/8sknroyF1WqdPHmyMmfG5s2bhwwZ0vA0Ll26pMa9e/d23vjIkSOu93zgwIF58+Y5X/vm6NGjamxfVAE3arwhrvVsdeOp6gqdTjdp0qRLly4pq5hVVFQUFha2bdu2UQ8KAAAAAAAAAGhKzCgDAIDvkiRpwoQJ6uZ3333nyr2Sk5PVeMKECc6LGJqMRvPLVY0rk6yEhYX16dNHiTdt2lTveVmEEG3btlUn2Ni2bZvzdWfOnj1bXFxc72PZKykpSUtLU+JBgwa5WLGk1WrHjh2rxBkZGWrNU0MYjUb7/p233Lt3r+s9V1ZWnj592kkDq9W6detWJQ4ODu7YsaPrncN17h3iOp2tbjxVXTds2DA1Li0tbYIjAgAAAAAAAACaDIUyAAD4tNtvv12N33//fZPJ5Ly90Wj817/+Ve3dPUuv16uxi+uzTJ8+XQkqKyvXrVvXkKNPmTJFCSoqKvbs2VNTM1mWV69e3ZAD2Ttw4IAa2xc81eqOO+5QY7dMb2M/38bFixedtFy/fn1dCx3ee+89J2vf7Nu3r6ysTIkfeOABLynbanncO8R1PVvdeKq6qLCwUI1dmWcLAAAAAAAAANCMUCgDAIBP69Spk1rsUlZW9sILLygrMVWroqLi+eefVxuMHj26S5cuTZGlC3Q6XXBwsBKnpKS4cpd+/fqNGDFCiXfv3r1+/Xrnk8EIIfLz8z/88MPy8nKH/WPHjlUndFm7du2xY8eq3lepkjl79qwrudVKluVNmzapm/3793f9vt27dw8ICFDiLVu2uLJSlXPR0dFq/O6771ZbJyHL8qeffrp79+66dn7hwoVVq1ZVWyuTlpb23nvvKXFAQMDEiRPr2jlc5N4hruvZ6sZTddOmTcePH3d+98rKyg8//FCJ9Xo96y4BAAAAjS08pNP0e/8dFXGTpxMBAACAr6BQBgAAXzd79mx15aATJ07MnDlz27Ztubm5ZrNZ2Wk2m69evbpt27aZM2dmZGQoO8PCwubMmeOZjGswZswYJcjIyNixY0dpaWmtJSALFizo0KGDEv/nP/+ZNm3arl27cnNz1Zl1bDZbeXn5hQsX9uzZ88QTT8yaNSsxMbFq0YZOp1uyZIm6+cILL6xZsyY3N1dpaTKZTp06tXDhQmVJmnvvvbfhD/bChQvqqknDhw/39/d3/b4ajWbcuHFKXFpa2vDanZCQkOHDhytxdnb2vHnz0tLSDAaDsqeioiItLW3hwoUbNmwQQkyePNn1nu+55x4hxFdfffXUU0+dOHFCGRebzXbt2rWEhITnn39ebbl48eI6PQmoE7cPcV3PVnedqufOnXv22WenTJmSkJCQlpZWWFio/qGzWq1FRUVJSUmPPvqoenLNmTOHaYoAAAAAAAAAoIXReToBAADgYXq9fuXKlc8880xOTo4QwmAwvP/++++//76Tu3To0OHVV18NDAxsqhxdMmnSpB07dijxunXrlCVaNBqN+j13YmKiTvc/Fz8BAQHvvPPOSy+9dPz4cSFEWVnZ2rVr63f02NjYxx57bM2aNcrm7t27q51aY/78+V27dv3ss8/qdxTVrl271Piuu+6q693HjBmzfft2Jd6xY8dTTz3VwHzmz5+flpamrIJ05coV+xIWe/PmzYuNjd28ebOL3d566619+vR57bXXsrKy7EuRHDz88MODBw+uR9pOxMfHu14h8fe//71du3buTcDbuHeI63q2uvFUFUKYTKadO3fu3LnTebNx48aNHj263kcBAAAAAAAAAHgnZpQBAAAiLCxs9erVc+fOrXVODp1ON3v27DVr1oSHhzdNbq6LjIx85plnHIobbDab9WfV3kuv1//1r3997rnnwsLCnPcvSdLYsWNXrVoVEhJSbYPx48e/8sor6poyDnQ63bPPPnvnnXe68FBqYTKZvvjiCzWrvn371rWHG2+8Ua1zSkpKUqcGqbegoKA1a9b06tWrpgZ6vX7ZsmXqTDauGzFixLJly2p6ZQYGBr700ktumaTHgf0rp1YNX77K+7l3iOtxtrrxVK1VSEjIokWL5s6dy3QyAAAAAAAAANDyMKMMAAAQQgiNRnPXXXeNHTv23LlzqampWVlZ586du379uizL4eHh3bt37969+8CBA3v06KHReG+h7fDhwz/55JNDhw6lpKScP38+NzfXYrHUei9JkoYMGfLvf//74sWLKSkpZ86cyczMvH79uhAiKiqqS5cu3bt379+/f69evfz8/Jx31a9fv48++iglJeXQoUPHjh27fv16eHh4z549R4wYceutt+r1erc8zKNHj6qVGbfddlutWVUlSdKECRO2bNmibKakpIwcObKBWYWFhb3++utnzpxJSkpKT0/Pzs4WQkRFRfXt23fo0KFxcXH1yFMxYMCADRs2fP/998nJyRkZGdevXw8NDY2Li7vllltuvfVWrVbbwMzhIvcOcT3O1oafqosXL87Ly7t48eL58+d/+umnK1eu5OXlVVZW2my2sLCwG264oW/fvnFxcb169fLmP3QAAABo8SJ+1cNmrv3NbLV0HdtrA+u8Lq1GDvbTuGk1W7vfEYSG66O7tXFPt6hNeFTwTa0DXG0cILS61u5NQPkZiUaj8eb3U6H+QVpJ0ulkKUCWQoyeTgcAAHiM5Au/fwUAAAAAT5k9e/aRI0fmzp07a9YsT+fivcrKygwGQ0BAQL2nAkKzU15eXllZqcQajaZNG75F8xUmk6mkpESSpIiICE/ngiZiNpuLi4vVzfDwcIcVUdGC5efnCyHCwsLqXTePZic4OLiiokKJn3vuuZdeesmz+aDJlJSUmEymwMDAmqbaRctTWlpqNP633kin03nh/NNoJAaDoaysTKvVtm7t5pI7eC2j0VhaWqputmnTxpvLIuFGNputsLBQeMegl5eXjxo1SgixadOmbt26NbA3XsEAAAAAAAAAAAAAAADwCfx6AwAAAEDLZDAYpk6dqsTz588fM2aMZ/MBAAAAAAAAAHgchTIAAACAd5k6darBYFDiLVu21DqnpcFg+POf/3zhwgVls3Xr1m+++SYzHiusVqsS2Gw2z2YCAAAAH3Fy5daTq7b1uat3QH62p3PxANlkUuOv95w15P2n2mZtbwz/v/CApkoKTcFms8myLElSPdZl+P0Ia2hoQVxbf0lcD7tQ4XfxTGNk6JzUIU6KmdL0xwUAAB5BoQwAAADgXaxWq1reUauysrKnnnoqNzdX2YyKinrrrbdCQkIaLTsAAAAAzpiKykrP5VhKOkk5uZ7OxRNkWQ0rykzXckurbRXQRn9JUMuO/yozWTXmMlnobXKJbDGK8mseSMJY7IGDAgAAD6FQBgAAAGiurl+/vmDBgqKiImWzc+fOb7zxRlBQkGezakZKSkpmzJihxIsWLRo2bJhn8wEAAAAAAAAANDYKZQAAAIBmKS8vb8GCBWVlZcpmjx49XnnllYAAZi+vG3XyHtnul68AAAAAAAAAgJaKQhkAAACg+bl8+fKTTz5pMBiUzZiYmGXLlvn5+Xk2K2+j1+u3b9/u6SwAAAAAAAAAAF5E4+kEAAAAANTNTz/99Kc//UmtkhkyZMjy5cupkgEAAADQHBmuXTj27Liy8+meTgQAAAC+ghllAAAAgObk1KlTf/7zn9V1gkaNGvXUU09JkuTZrAAAAACgnmRZtloEa6ECAACgqVAoAwAAADQbR48eXbZsmbo5fvz4OXPmtMgqGVmWL168+OOPP548efLcuXOFhYU6na5z5849e/YcOHBg//79/f39PZ0jAAAAAAAAAKD5oVAGAAAAaB4OHDjw+uuvq5uTJ0+eNm2akyqZAwcOvPnmm0q8YcOGoKAgJ50fP3586dKlSpyQkBAZGaneZDAYpk6dqsSPP/746NGjq+1h//79K1euVGJJkhITE7VabdVmsiz/7ne/U9aNmjRp0owZMxwalJeXf/nll5s3by4pKbHfbzKZMjMzMzMzd+3aJUnS3Llzx44d67xIyD7z+fPnjxkzRr1p7ty5V65cke1+tPraa69pNNUsTZuYmKjT8b4JAAAAAAAAAFqIaj4IBgAAAOBt9u7da18lM2PGjOnTpzsvE5Fl2fozVw6hNpb/d85zvV7fqVMn5aYDBw7UdPcDBw6oPVgslkuXLlXbLC8vr7y8XGk2cODAqg0WL168fv16hyqZqg/tvffee/HFF202m4sPyqFl1Z32T5c95/0DAAAAAAAAAJoXfhkJAAAAeLutW7f+61//Ujfnzp171113NWUCt91227///W8hRGpqqtVqrTpVjNVqTU1Ntd9z7Nix6Ojoql2lp6ercY8ePWo6YnR09D333NOnT5+IiIjAwEDlEEVFRYcPH/7ggw+UCWmOHj26YcOGadOmNeCRAQAAAAAAAAB8C4UyAAAAgPeSZfnDDz9MTExU9yxatGjkyJFNnMaAAQOUQhkhRHZ2dteuXR0aVJ0/JikpadKkSVW7OnjwoBJER0fr9fqqDQYOHLhkyZLOnTs77NfpdJGRkXffffcdd9yxdOnSU6dOCSESExMnTpzYunXruj6itWvXCiGuX78+ffp0ZY9HnlgAAAAAAAAAQBOjUAYAAADwXu+8805SUpK6uWzZsgEDBjR9GvZzwxw7dqxqocyxY8eUYOzYsV988YUQIisry2AwOJTC2E88c9ttt1V7rFmzZjlPJiAg4IUXXpgxY4bRaBRC7NmzZ+rUqS4/lP+h0WiqjV1ns9nKysqct1GWspJl2WFNK1SLZ8lnMfS+Qx1rBt13OIw1/yf6IF8bdJ96sPXHk4SqPP2q4ORtIJ5AH8Sg+w4u6X2W/Vt4jw+6exOgUAYAAADwXmqVjCRJf/vb3/r06eORNLRabWxsbFpamhBi//799913n0MDNc9x48bl5eUpdTPnzp3r16+ffbPs7Gw1bkjFT1BQUHx8/MaNG0XDCmUa7vz587/97W+dt+nevbsQorKysqCgoEmSasaMRqNS/wRfY7PZOEF8jSzLDLrPKi4u9nQKaGolJSWeTqFJVVZWCiEsZoufpzPxZharRQh/T2cBb2GxWIUQFqtFqxUWs8Ujrwyj0VjGxUkDWCwWru58jdVqZdB9VlFRkadTQFPzhkGvqKhQApvN1vDe6vOjSQAAAABNz8/Pk5+0//rXv1aC8+fPGwwG+5sMBkNWVpYSd+3adcSIEUqckpLi0MkPP/ygxjfccEND8omLi1OCoqIih3wAAAAAAAAAAKgJhTIAAACA9+rQoYMSyLK8cOHCc+fOeSqTmJgYNT579qz9TWqVTL9+/fz8/NSW+/fvd+hEnXgmLi5Oq9U2JJ+wsDA15ofpAAAAAAAAAAAXsfQSAAAA4L3eeOONZ5999vz58+LnWpk333yzW7duTZ9Ju3bt/P39TSaTEOLw4cM333yzepM6c8yoUaPsWxYVFRUXF6sVLfYTz6izztREluXs7Oz09PQTJ05cvnw5NzfXYUUe+wk2S0pK2rVr19BHCAAAAAAAAADwARTKAAAAAN4rODj49ddff/rppy9cuCCEsA8G3goAACAASURBVNlsTz31lEdqZSRJGj58uDJJzP79+2fNmqXepM4T079/f4eWp06duvXWW5Vb7afDsZ+fpqqUlJS1a9deu3bNxdyU8h2PiIyMXLp0qfM2W7duFUL4+/u3atWqSZJqloxGo9ls1ul0er3e07mgiSiDrsSSJAUHB3s2HzQZi8WiLJnHX0XfYbVaKysr1c2goCCNhlmufUVZWZkQIjAwsIGzCTYv/v7+QgiNlte5M/wdgD3l9aDRaIUQnvpzodPpuDipK4PBYLFYlFij0QQFBXk2HzQZs9lsNBp5H+dT1PdxiuDgYEmSPJgPmowsy+Xl5cI7Bl1NwC2ZUCgDAAAAeLWAgAClVubixYvi51qZt99+u2vXrk2cybBhw5Tyl+Li4uvXr4eHhwshSkpKCgoKhBA6nU5dKEpt+d1336mFMqmpqUrg7+/vZAKYhISEnTt3NubjcKeQkJDf/OY3ztvs2rVLCEEJiHMWi8VsNmu1Wp4l32G1Wu0LZRh632EymQwGA4PuU8xms32hjL+/v07HZ5K+QimU8ff39/Pz83QuTUd5hVMI4hzPD+xpNJLyrywLSeOZL+G0Wq2Oi5M6MpvN9oUyXN35FKPRyKD7FKPRaF8oExAQwH/lPsJmsymFMt4w6FarVQkolAEAAAB8gl6vf+ONNxYuXJidnS2EsNlsTzzxRNPXyvTu3VuNT506NXToUCHE6dOnlT3Dhg1T36KoLZOTk5944gllvzrxzPDhw2t6M5OUlKRWyWg0mokTJw4dOrRjx47BwcE6nU6SJPWOOTk5c+bMcevjAwAAAAAAAAC0fJR6AQAAAM2AXq9fsWJFly5dlE2bzfbkk08q6zG5QpZl5w3UenwnwsLCWrdurcT/93//pwTfffedEgwbNqxqS5PJdPXqVSFEcXGxMvGMEEKpsKk2h7Vr1ypxaGjo+++//8gjj/Tr169169b+/v4ajca+vMaVhAEAAAAAAAAAcEChDAAAANA8KLUynTt3VjatVusTTzyhrMdULfuV3WstK8nPz3clh9GjRytBcnKyLMuyLB84cEDZ07dv32pb/vjjj8Ju4hnxvzPT2MvJyVFm8hRCPP7442pRTrWU+hsAAAAAAAAAAOqEQhkAAACg2dDr9W+++WanTp2UTavVumDBAmU9pqpCQ0PVuLS01HnP6enpriQwaNAgJbBYLLm5uXl5eUajUQjRunXr8PDwalsqlTSHDh1SNqu2VF26dEmNayqmUR05csSVhF1X66Q7AAAAAAAAAIAWgEIZAAAAoDnR6/VvvfWWK7Uybdu2VeOffvrJSZ8mkykpKcmVo/fo0UONf/zxR7W8ZtSoUTW1TEtLMxqN6sQzVVuqlJobhf10ONW23Lt3rysJO6fR/PKGyGKxNLxDAAAAAAAAAICXo1AGAAAAaGaUeWU6duyobFoslgULFly+fNmhWVRUlCRJSrx9+3YnHX766ac2m83FQ3ft2lWJv/3224MHDyrxkCFDnLT87LPP1CKYwYMH19S5fWWPkyWlhBDr1693S12LXq9X47y8vIZ3CAAAAAAAAADwchTKAAAAAM1PYGDgW2+95bxWRqvVjhgxQokzMjK+//77arv6+uuvExMTXT/0bbfdpgTHjx9PTU1VYvuZZlSjR49Wgg0bNqg7q22piI6OVuN333232lIYWZY//fTT3bt3u56wEzqdLjg4WIlTUlLc0icAAAAAAAAAwJtRKAMAAAA0S0qtTIcOHZRNk8lUtVZm2rRpavzyyy9v3Ljx+vXrsiwLIYxG45kzZ5YtW/b2229rtdoHHnjAxeMOGDDAYU/Xrl3tp2ZRxcXFKYFyRCFEdHR0YGBgTT2HhIQMHz5cibOzs+fNm5eWlmYwGJQ9FRUVaWlpCxcuVMpuJk+e7GLCzo0ZM0YJMjIyduzYUVpaqmYLAAAAoAno23Ud8LevWt0Y4+lEAAAA4Ct0nk4AAAAAQD0ptTJPPPFEbm6u+LlWZuXKlepMM+3bt586derGjRuVzY0bN6qxvb/97W8mk8nFeWW6dOnisEedOabWlupsNDWZP39+WlpaWVmZEOLKlSvPP/98tc3mzZsXGxu7efNmVxJ2btKkSTt27FDidevWrVu3Tgih0WjUVasSExN1Ot43AQAAAAAAAEALwYwyAAAAQDMWFBT09ttvt2/fXtlUamWUuhnFgw8+OGfOnJru3rZt2/fee++mm25y/YhardZhUhl15ph6t1QFBQWtWbOmV69eNTXQ6/XLli0bN26cy/nWIjIy8plnnlHLYhQ2m836M3cdCAAAAAAAAADgDfhlJAAAANC8KbUyCxYsuHr1qhDCaDTOnz9/1apVSvWMJEkTJkwYOXLkt99+m5KScvr06YqKirZt2/br1++2226LjY3VarV1PeKIESOOHj2qbladOaamltHR0bV2HhYW9vrrr585cyYpKSk9PT07O1sIERUV1bdv36FDh8bFxfn5+dU1YeeGDx/+ySefHDp0KCUl5fz587m5uRaLxb2HAAAAAAAAAAB4CUmWZU/nAAAAAAAt1uzZs48cOTJ37txZs2Z5OhfvVVZWZjAYAgICQkJCPJ0Lmkh5eXllZaUSazSaNm3aeDYfNBmTyVRSUiJJUkREhKdzQRMxm83FxcXqZnh4OMsa+o78/HwhRFhYmNtrnb2Z4dr1ymtF/v4anZ9Ue+sWp02/3hU//xe/4PFFTy/8S7XNbFrJ7M+fghalrKzMbDbr9frAwMC63jesldVfa9NrhUayaQ0myeKJqT39AkUgV6R1U1paajQalVin04WHh3s2HzQZg8FQVlam1Wpbt27t6VzQRIxGY2lpqbrZpk0bjYaFa3yCzWYrLCwU3jHo5eXlo0aNEkJs2rSpW7duDeyNK1EAAAAAAAAAANxDHxWuj/Lhb4vtVjUNCQ3ofIMPPxU+piTAajJpAwMDg4ODG9RRkJsSAgAAqBmlXgAAAAAAAAAAAAAAAPAJzCgDAAAAwFucOXNm8eLFSrx69eoOHTp4Nh8AAADAifLsvDPv73FjhyHtgkP15qr7j47qa9Z4bCEnuTIoN9/Vo1tsshoXmPJPFh1vnKRqpJFE52BTEx8UQgizxmjzsxqFTjb716+HQJOktRj/d58sX8lveG7/7cvkZ82p0pvWz+/OB911CAAA0FxQKAMAAADU2dSpUw0GQ13vFRkZmZCQ0Bj5tCRW639Xo5dl2XlLAAAAwLPKL+UdW/YvN3bYa8LNxtILVfd/0esPZRaPFX9E2rrsPlRN+U617AtlCk15J4t+bJykaqTTaML8S5r4oBBCCI0QGmEVwujqi8WRrjJEU57zP7tkIZ862fDU/tuZ/42mvd847JQCAimUAQDAB1EoAwAAANSZ1WpV6znqdK/GSAYAAAAAAAAAALhI4+kEAAAAAAAAAAAAAAAAgKbAjDIAAABAg2zbtk2r1Xo6CwAAAAAAAAAAUDtmlAEAAAAaRJIkT6cAAAAAAM3SpbOXH7xpRkbqaU8nAgAAAB9CoQwAAAAAAAAAAPAAWZatFqssezoPAAAA+BIKZQAAAAAAAAAAAAAAAOATdJ5OAAAAAMAvbDbb6dOnf/jhh4yMjHPnzhkMhpCQkB49evzqV7+65ZZb2rZt25TJyLJ88eLFH3/88eTJk+fOnSssLNTpdJ07d+7Zs+fAgQP79+/v7+9fpw6tVuuRI0cOHTqUlpZWVFQUHh5+0003DRs27JZbbqlrV4q8vLzk5ORTp05lZGSUl5fr9fpevXr17dt32LBhHTt2rEeHSpLHjx9PTk4+efLktWvXLBZL3759X3755fr1BgAAAAAAAADwKhTKAAAAAF5BluV9+/b94x//qKystN9fUFBQUFDw/fffr127dtCgQY8++mj79u0d7nvgwIE333xTiTds2BAUFOTkQMePH1+6dKkSJyQkREZGVm1TXl7+5Zdfbt68uaSkxH6/yWTKzMzMzMzctWuXJElz584dO3asJEmuPMDTp08vX768tLRU3ZOfn5+fn5+cnBwQELBkyZIBAwa40o+iuLj4tddeO378uEN6qampqamp//73v7t16/aXv/wlKirKSSdXr16dM2eOEi9fvjwmJiYzM3P58uUOj9psNrueGAAAAAAAAADAm7H0EgAAAOB55eXlCxcuXLVqlUOVjIPU1NRHH3206n5Zlq0/c+VwamNZlqttsHjx4vXr1zvUi1Q96Hvvvffiiy/abLZaj7hv375FixbZV8nYMxqNy5Yt++abb1xJXghx/PjxmTNnOlTJOMjKynrkkUeSk5OdtHF43lJTU59++mnnjxoAAAAAAAAA0KwxowwAAADgYZWVlfPnz8/Pz1c29Xr9b3/72xEjRkREROh0OlmWS0tLL168+OWXXyYlJTVlYtHR0ffcc0+fPn0iIiICAwOFEFartaio6PDhwx988IHBYBBCHD16dMOGDdOmTXPST3p6+sqVK9XN22+/ffLkye3bt9doNAaD4ezZswkJCRcuXFixYsX9999fa1bnz59/9tln1c3Y2Njp06dHR0f7+flZLJbLly9v2LDh+++/V2599dVXX3rppdjY2Fq7PXLkyLZt24QQPXr0mDlzZo8ePQIDA2VZvnbtmvNqGwAAAAAAAABAM0KhDAAAAOBhK1asUKtkYmNjlyxZYr92kiRJYWFhMTExMTExDz/88Mcff9wEKQ0cOHDJkiWdO3d22K/T6SIjI+++++477rhj6dKlp06dEkIkJiZOnDixdevW1XZltVpffvlldfO5554bMmSIuhkYGBgTE/POO++sXLny66+/3rJli/PErFbriy++qG4+9NBD9913n7rp5+fXtWvXZ5999osvvnj33XeVnS+//PJHH33k7+/vvOetW7cKISZNmvTQQw+pi0lJktS+fXtXyncAAAAAAAAAAM0ChTIAAABAg8THx6t1Fc6tXr26Q4cODjvT09MPHz6sxD169Fi2bJlWq62ph7CwsMcee6zeqbpu1qxZzhsEBAS88MILM2bMMBqNQog9e/ZMnTq12pb79u0rLy9Xu7WvklFpNJoFCxacP38+KyvL+XG//vrrgoICJR43bpx9lYy9sWPHXr16NTExUQhhMBi2bNlSU3r2YmNj7atkXJGbm/vqq686b1NWViaEMBqNLOrkhMViEUKYzWaeJd9hv1ScLMsMve9QFuxj0H2Kw1KP5eXldfrfFi1ARUVFSx109ULXXWpa1bSmJVObhtXi0gKvQAO5uJRwvVmslqo7uSZpCOV9nMJqtfJM+g7lfyubzcag+w6HS5TS0tKWenUHB+pVqDcMekVFhRLUdM1cJxTKAAAAAA3i+nV5tZ9ub9iwQY0XL17spErG2wQFBcXHx2/cuFE4LZT55JNPlCAwMPCee+6pqTdJkubNm7dw4ULnB1V7E0I89NBDTlpOmTJl27Ztysd2W7ZsmTJlikajcd75nDlz6vp+r6Ki4sCBA87bdO/eXQhhtVpNJlOdOvdBNpuNZ8k3ybLM0PsgBt1nmc1mT6eAptaCB93tD807C2Vsshu+imgynn2u0DCNO3Y1vTa4JnELLul9EIPuy1rw1R1q4g2D7t6/ObV8UgwAAACg8ZSWlp44cUKJ4+Li2rdv79l86iouLk4JioqKDAZD1QYFBQXqBDCTJk1yXgbUo0eP0NBQJw3y8/Pz8vKUeMyYMfYLVFXl7+//m9/8RolNJtP58+edNBZCREVFderUyXkbAAAAAAAAAEBzx4wyAAAAQINs27at3tPA2Fdv3Hnnne5JqAmFhYWpcXFxsV6vd2hg/wAHDRrkvDdJkm677bbt27fX1ODixYtqPGLEiFrTu/XWW7du3arEZ8+e7datm5PGI0eOrLVDAAAAAAAAAEBzR6EMAAAA0CANWZzVvvKja9eubsjGrWRZzs7OTk9PP3HixOXLl3Nzc41Go30D+5nhS0pK2rVr59BDTk6OGkdFRdV6RGWVoppcvnxZjTt27Fhrb/Yz9Fy4cMF54y5dutTaYVV6vX7gwIHO25SVlQkhNBqNn59fPQ7hI6xWq81m02g0zWj1MTSQMuhKLEmSTscHFL7CZrNZrVYhBH8VfYcsy8piiAqdTufxte3RZJQZ2lvwoLv9/6+anijPPoEaSSNEs1l9qaW+2HxD445dTa8NrknqjUt6n6Vc0jPoPkV9H6dowVd3cKC+m/OGQXfvf9n8/QIAAAA8xr6OxH52Fm+QkpKydu3aa9euudi+2jVir1y5osbOV0pStG3b1smt9r05X6RJERwcrMb2RTbVat26da0dVtWxY8e1a9c6bzN79mwhhF6v97Yh9iplZWUGg8HPzy8kJMTTuaCJlJeXV1ZWKrEkSZwgvsNkMpWUlDDoPsVsNhcXF6ubrVq14jsV35Gfny+ECA4ObqnfQxtbtXJvhzUVDXv2awmtTtuMCmXQfDV20bxOq7NU2ck1SUOUlpaqP6fRarU8k77DYDCUlZVpNBoG3XcYjcbS0lJ1MzQ0VKPReDAfNBmbzVZYWCi8Y9DVN5JuyYQ3pQAAAIDH2BeXeNWXBwkJCTt37mx4P/YP0JU3MAEBAU5uVX6RrHDlCzb7IzrMhVMV39gBAAAAAAAAgC/gs2AAAADAY/z9/dXYbDbr9XoPJqNKSkpSq2Q0Gs3EiROHDh3asWPH4OBgZY5N9fesOTk5c+bMcdKV/QO02Wy1/kDQeTmLfS2R/XSvNbFfGcp5CQ4AAAAAAAAAwEdQKAMAAAB4TMeOHdW4pKTELYvOyLLsvIHzEhOr1aquJRQaGrpq1SonaxLVWq3Srl07Na6oqKh1St6CggIXeystLbVfWala5eXlamz/VAMAAAAAAAAAfBaLhwEAAAAec8MNN6jxhQsX6t2P/UwttRav5OfnO7k1JydHrS95/PHHnVTJCCGuXr3q/FidOnVS42vXrjlvLITIyspycmvnzp3t86y1N/v0oqOja20PAAAAAAAAAGjxKJQBAAAAPKZr165qvG/fvnr3ExoaqsalpaXOG6enpzu59dKlS2rcu3dv510dOXLEeQP7B3j06FHnjYUQ+/fvd3KrfV3Rd999V2tvhw8fVuPu3bvX2h4AAAAAAAAA0OJRKAMAAAB4TEhIiFqMkpqaWusELTVp27atGv/0009OWppMpqSkJCcNjEajGttPVFNty71799aamDonzbZt25zPdnP27Nni4mInDSIjI9VH+sUXXxgMBieNzWbz9u3bldjf379bt27OUwUAAAAAAAAA+AIKZQAAAABPmjZtmhqvWLHCZrPVo5OoqChJkpRYrQ6p1qeffur8EPY1NxcvXnTScv369RaLpdbcpkyZogQVFRV79uypqZksy6tXr3a9N1mWP/74Yyctt23bphb93HvvvRoN730AAAAAAAAAABTKAAAAAB4VExMzaNAgJc7IyPjrX//qZKKU8vLyf/5/9u48Por6fOD4d3Y3x27MBSGAnHITDGlEUS61qCAoFQEPbFVIVSIRaUulIipXqVal9YAgYKMoASVcKhaoF6L8VEjAGA4JAYFAICEQcuxm7/n9Me10G5LdTbLZTbKf96uvvp6Z+e4zz86QuJt99vv9xz8u36/VaocPH64m+f7772t9+BdffJGVleW+nm7duqnx0qVLa22FkWX5gw8+2LZtm/tUilGjRhkMBiVesWLF/v37a02Ynp5eUFDgMdutt96qTlGzZcuWuqa02bVr15o1a5Q4LCzsnnvu8aZUAAAAAH7WpXfnrGNr+l/XN9CFAAAAIIjQKAMAAAAE2B//+Ee1+SM7O3vq1Kkff/xxaWmpslCRLMtGo/HIkSPLli2bPHnyhx9+WGsS15lpFi9evG7dukuXLsmyLISwWCxHjx6dP3/+q6++qtVq3XeNREZGDhs2TIkLCwvT0tJyc3PV3h2TyZSbmztr1qzMzEwhxKRJkzw+O51ON2fOHHVz3rx5y5cvP3funDKxjdVqPXz48KxZs5SWl7vuust9Nq1W+9xzz6mby5YtW7x48cmTJ5WGHofDcfr06SVLlrzyyivqmKeffjo8PNxjnQAAAAAAAACAYKALdAEAAABAyzZhwgR12SOP3nzzzfbt29fYaTAYli5d+vTTTxcWFgohjEbjqlWrVq1aVa8yOnToMHny5HXr1imb69atU2NXL774otVqdT+vzIwZM3Jzc6uqqoQQZ8+edW1McZWWlpaUlLRhwwaPtSUlJT3++OPLly9XNrdt21brbDQzZszo3r17XZ1Aql69ei1YsGDBggVKq833339f1ww6Qog//OEPgwYN8lghAAAAAAAAACBIMKMMAAAA0ChOp9PhNWWKl8tFRka+8cYbKSkpOp27XvakpKT09PS6jt5///2pqal1HY2Li1u2bFnfvp6nNDcYDMuXL+/Tp09dA8LDw+fPnz969GiPqVRjxox54YUXIiIiaj2q0+nmzp172223eZktOTn57bff7tevn5sxXbt2Xbly5c033+x9kQAAAAAAAACAVo8ZZQAAAIBmQaPRjB8/fty4cbm5uT/88MOhQ4dOnjxptVrbtGnTs2fPpKSk66+/Pj4+3k0GSZLGjh07YsSIXbt27d2798iRIyaTKS4ubsCAATfffHNSUpJWq/WymOjo6Jdffvno0aM7d+48cOCAMtVNfHx8QkLCkCFDkpOTQ0JC6vsEBwwYsGbNmr1793733Xf79++/dOlSTExM7969hw8ffsMNN9R3daTY2NiXXnqppKTkm2++OXTo0OHDh6uqqgwGQ9++fRMSEoYOHdq5c+f6VggAAADUi+HKtolP3efDhNEdo6LCr7l8/83xPa2B+9KrbL6i3fXeTqJ5QCNZ/xPHhrTtG5PQRFXVRSNERIjFzyeFEMJqtTocDp1O14B3iwqdXiO0nf5nlyyk3l19UJySzB4ackvNGV6FroHVAgCAFk2q6yutAAAAAIDGmzZtWk5OzvTp01NSUgJdS/NVVVVlNpvDwsIiIyMDXQv8xGg0VldXK7FGo2nTpk1g64HfWK3WiooKSZLatm0b6FrgJzabrby8XN2MiYlxP4UeWpPS0lIhRHR0dIM/OEeLExERYTKZlPjZZ59dtGhRYOuB31RUVFitVr1eX9dMomh9KisrLZZ/96XpdLqYmJjA1gO/MZvNVVVVWq02NjY20LXATywWS2VlpbrZpk0bjYaFa4KC0+m8ePGiaB433Wg03nTTTUKI9evX9+jRo5HZ+BcMAAAAAAAAAAAAAACAoMC3NwAAAAAAAAAA8BenbCs5f/lurUHS6Lxd4chViU1vF96ustrUXGewtzltRruxAUkkSQ7TyOYik2xjRvwWw1RVZbPZnGFhssHg/aP0Hdpow0ObrioAAIBa0SgDAAAAtDyTJ082m83q5qhRox5//HGPjyouLk5NTVUz3HvvvU1VHwAAAIA6OEymo/c9dvn+Xk8N0tl+bkDCtNLfHr9oaXRdvmGxO9X4hKlg26ktDUhyZUTkVZFn9/0mu+Sr474rDc3R2F2vtR9+daCrAAAAQYellwAAAICWx/G/tm3bVlpa6vFRsiyrD3E6nR7HAwAAAAAAAADQytAoAwAAALQGq1atCnQJAAAAAAAAAAA0dzTKAAAAAK3Bt99+e+bMmUBXAQAAAAAAAABAs0ajDAAAANBKpKenB7oEAAAAAKiH0wVn7u/78E/ZRwJdCAAAAIIIjTIAAABACxYRETFy5EglzsvLKygoCGw9AAAAAOA9WZYddocsB7oOAAAABBMaZQAAAIAWTJKkKVOmqJtLly6V+RszAAAAAAAAAAB10AW6AAAAAACNEhMTM378+C1btgghjh8/fuDAgcTExManlWX51KlTP/7446FDh44dO3bx4kWdTte5c+fevXsPGjRo4MCBoaGhjT9L4zkcjry8vN27dx86dKikpMRutyckJCxevDjQdQEAAAAAAAAAmiMaZQAAAIAW7/777//www+VuWSWLl365ptvSpLU4GxGo/HTTz/dsGFDRUWF636r1Zqfn5+fn//JJ59IkjR9+vRRo0a5P9HXX3/9t7/9TYkzMzMNBoObwXl5ec8//7wSr1y5sl27djUGFBcXp6amKvHChQsTExPz8/MXLlxYo06bzdZEBQAAAAAAAAAAWjqWXgIAAABaPIPB8Otf/1qJz549u3fv3sZkmz17dkZGRo3ukxpkWV62bNmCBQucTqf7YY7/8ObU6uBaF5CqkS07O/uPf/yjxzp9WAAAAAAAAAAAoKVjRhkAAACgNbjrrrvWr19vtVqFEMuWLRs0aJBWq21Mwm7duo0bN65///5t27bV6/VCCIfDUVZWtmfPntWrV5vNZiHEvn37MjMzH3zwQZ88hXrJycnZvHmzEKJXr15Tpkzp1auXXq+XZbmkpGT37t3+rwcAAAAAAAAA0CIwowwAAADQGoSFhaWkpChxWVnZrl27Gpxq0KBB6enpb7zxxqhRo7p06WIwGCRJkiRJp9O1a9fujjvueO+99/r3768MzsrKKisr88ETqKdNmzbJsjx+/PglS5YMHDhQKVKj0XTo0GHixIn+rwcAAAAAAAAA0CIwowwAAADQSowePfq9994zGo1CiBUrVgwfPjwkJKQBedSGm7qEhYXNmzfv4YcftlgsQojt27dPnjy5ASdqpKSkpKlTp0qS5P9Tq4xG47fffut+jDLNj91uVy4XaqWsjeVwOLhKwcN1QTRZlrn1wcNutwtuepCpsQCi1Wr1cklEtBo2m839ep3BxlHHL8AGr/7Z+pYNVZ5R63teuJzNZuMlQcvl+rudV3dBhZf0QUi56Sqr1RrYv8jBb9TXY83hpqu/c3zyKpFGGQAAAKCV0Gq1qampS5YsEUKYTKbt27ePGzeuic5lMBgmTJiwbt06EbhGmdTU1IC/PSsuLn766afdj+nZs6cQwmq1VlZW+qWoFsxut3OVgpMsy9z6IMRND1omkynQJcDfuOk1OI21XxCHlniLuwAAIABJREFUw9GQPvf//ay6dXA6nEIIp9zanhcuZzKZeEnQOjgcDm5lsHE6ndz0oFVVVRXoEuBvzeGmq28rfNIow9JLAAAAQOsxYsSItm3bKvHbb79tNpub7lzJyclKUFZW1qQnqlV8fHynTp38fFIAAAAAAAAAQEtHowwAAADQemg0mrS0NCW22+2bN29uunNFR0ercXl5edOdqFYjRozw8xkBAAAAAAAAAK0ASy8BAAAArcqgQYM6dep05swZIcT777//q1/9KiIiogF5ZFkuLCw8cODAwYMHz5w5c+7cuRorT7tO8F5RUdG+fftGVl4vXbp08efpAAAAAAAAAACtA40yAAAAQKsiSdITTzwxZ84cIYQsy2vXrn300Ufrm2Tv3r0rVqwoKSnxcrzVaq3vKRopNjbWz2esVdeuXT/55BP3Y5599lkhhF6vb9OmjV+KapGMRqPFYgkNDb3iiisCXQv8xGQyqau2aTSamJiYwNYDv7HZbJWVlZIkNZPf5PADu91eUVGhbkZFRel0/E0yWFy8eFFw0y/jCA0rrW2/TqcTtoYk1Gpa28zxWp1WCKHVaANdCJpcZGQkb5RarqqqKvWvATqdLioqKrD1wG8sFovRaNRqta6TDaN1s1qtVVVV6mZMTIym1b38QK2cTuelS5dE87jpYWFhSuCTSnh/AgAAALQ2AwYM6NOnT35+vhDi448/njRpUr0+jFy5cuXWrVubrDrfaCafteh0Oo9T6Sjv3CRJCvibyeZMkiTBVQoyyk1XceuDh3rruenB4/Kfd+5+sOE/8TXIPr8a//tTBrQg/EehReMlfdDiJX0Q4iU9msNN920BzeKPywAAAAB8Ky0tbebMmUqckZExa9YsLx+4c+dOtUtGo9HceeedQ4YMufLKKyMiInQ6nSRJ6hvjoqKi1NRUn1cOAAAAAAAAAEDTodULAAAAaIWuuuqqa665Rom/+uqrc+fOefMoh8OxYsUKJY6Kinr77bcfeeSRAQMGxMbGhoaGajQa16+POByOepUky7LHs9crYX0FvAAAAAAAAAAAQMDRKAMAAAC0TtOmTVPjN99805uHFBUVGY1GJX7yySfdL9hUXFzsMaFWq1Vjj20opaWlXtRYPwEvAAAAAAAAAADQrNAoAwAAALROHTt2vPHGG5V43759J06c8PiQ06dPq3G/fv3cD87JyfGYMCoqSo0rKyvdDz5w4IDHhPUV8AIAAAAAAAAAAM0KjTIAAABAq/Xb3/5WjdPT0z1OqWKxWNTYdS6WWkfu2LHDYwFxcXFq/PPPP7sZabVad+7c6TFhfQW8AAAAAAAAAABAs0KjDAAAANBqxcbG3nHHHUr8008/ffrpp+7Hu7aVnDp1ys3IjIwMu93usYD4+HhJkpT4o48+cjPygw8+cDqdHhPWV8ALAAAAAAAAAAA0KzTKAAAAAK3ZAw88oMabNm1yP7hbt25qvHTp0lpbYWRZ/uCDD7Zt2+bN2bVa7fDhw5X4p59++v7772sd9sUXX2RlZXmTsL4CXgAAAAAAN7r07px1bE3/6/oGuhAAAAAEERplAAAAgNYsMjJy8uTJ3g8eNmyYEhcWFqalpeXm5prNZmWPyWTKzc2dNWtWZmamEGLSpEne5HzwwQfVePHixevWrbt06ZIsy0IIi8Vy9OjR+fPnv/rqq1qt9p577vH+eXkv4AUAAAAAAAAAAJoPXaALAAAAANC07r777qysLG9WShJCzJgxIzc3t6qqSghx9uzZ5557rtZhaWlpSUlJGzZs8JiwQ4cOkydPXrdunbK5bt06NXb14osvWq3WppjWJeAFAAAAAAAAAACaD2aUAQAAAFq58PDwqVOnejnYYDAsX768T58+brLNnz9/9OjR3hdw//33p6am1nU0Li5u2bJlffs24VzrAS8AAAAAAAAAANBMMKMMAAAA0Prdfvvta9asqa6u9mZwdHT0yy+/fPTo0Z07dx44cKCwsFAIER8fn5CQMGTIkOTk5JCQkHqdXZKksWPHjhgxYteuXXv37j1y5IjJZIqLixswYMDNN9+clJSk1Wob8qxaTgEAAACASpIkXWxMLQd04UIT1YCE0WHaNhGhjS3LRySXWCvpwrXhDUiik0I0kj40+gp9+1hfFYamJsuyLMuSJEmS5Hn0f2hCeC8GAAACQJJlOdA1AAAAAECrNW3atJycnOnTp6ekpAS6luarqqrKbDaHhYVFRkYGuhb4idFoVLv3NBpNmzZtAlsP/MZqtVZUVEiS1LZt20DXAj+x2Wzl5eXqZkxMjE7Hl/eCRWlpqRAiOjq6vp3WaLkiIiJMJpMSP/vss4sWLQpsPfCbiooKq9Wq1+sjIiICXQv8pLKy0mKxKLFOp4uJqa0FEK2R2WyuqqrSarWxsbQzBguLxVJZWalutmnTRqNh4Zqg4HQ6L168KJrHTTcajTfddJMQYv369T169GhkNv4FAwAAAAAAAAAAAAAAICjw7Q0AAAC0bGazefLkyUo8Y8aMkSNH+ipzSUnJ/v37Dx06dOzYsZKSEqfTGR0d3aVLl+7duyckJPTt2zc6OtpX5/Ko6Z5ms3L06NHZs2crcXp6eseOHQNbDwAAAAAAAACglaFRBgAAAAEwefJks9lc30e1a9du5cqVl+93OBxK4HQ6G1uZEEKI48ePL126tKCgoMb+8+fPnz9/ft++fZs2bRJCdO3a9Ve/+tXw4cMNBoNPzuuez59m86Q+TVaJBQAAQKuXPWdVyf8d9H587xHdQ8pLaj0UvXC4U29vQA3v5Bt8+MrbLv/33cr/7Tzxl2d2+C43/CFUH/JTj4YsoONwOJxOp0ajueXqkM4dztc6ZlCI9YqyKvncz42rsX4knd6y90To/b/XtO/qz/MCAIDmjEYZAAAABIDD4VD7Ier1qKYoxpUsy++///66deu8GXzq1KmlS5dmZmauXr26qQsDAAAA0PpcOnii+Os878d376m3HTtc66EIzdV2Z2UDaiioiHL6rkndNdXFUtORQ7W39aDZuiIyfH9oozIM6BYeHlP7fXfIdrm6UlzIb9QJ6kkOb+M4lics1f48KQAAaOZolAEAAAD+a+vWra5dMomJiRMnTuzZs+cVV1yh0WicTmdFRcWpU6d27tz5+eefB7BOAAAAAAAAAADQADTKAAAAIMA2b96s1WoDXYUQQhQXF69atUrdnD9//jXXXOM6QKvVxsbGxsbGJiUlTZs27eOPP87MzPR7mQAAAAAAAAAAoIE0gS4AAAAAwU6SpECX8G9ZWVlq/MQTT9TokqkhPDz8nnvuWbt27S9/+cumLw0AAAAAAAAAAPgAjTIAAACAEELIsvzZZ58psUajueWWW7x5lMFgmDJlShOWBQAAAACtVHnlmTUfTy25kB/oQgAAABBcaJQBAAAAhBCioqLC6XQqcf/+/ZvJalAAAAAA0FrJQjidDiHkQBcCAACA4KILdAEAAABAs1BdXa3GUVFRPswsy/KpU6d+/PHHQ4cOHTt27OLFizqdrnPnzr179x40aNDAgQNDQ0N9eDof8nnlDocjJyfnu+++y83NLSsri4mJ6du379ChQ6+//vqGXYTz58/v3r378OHDP/30k9FoDA8P79OnT0JCwtChQ6+88soGJFSKzMvL271796FDh0pKSux2e0JCwuLFixuWDQAAAAAAAADQrNAoAwAAAAghhE7339fGJ06c8ElOo9H46aefbtiwoaKiwnW/1WrNz8/Pz8//5JNPJEmaPn36qFGjJElq2Fm2bt36j3/8Q4mXLl3aqVMnjw9xOBy//vWvLRaLEKJPnz5//etf/VD5kSNHFi5cWFlZqe4pLS0tLS3dvXt3WFjYnDlzrrnmGm/yKMrLy1966aW8vLwa5WVnZ2dnZ7/77rs9evR45pln4uPj3SQpLi5OTU1V4oULFyYmJubn5y9cuLDGs7bZbN4XBgAAAAAAAABozlh6CQAAABBCiOjoaDU+e/bs+fPnG59z9uzZGRkZNbouapBledmyZQsWLFAXfqqvESNGOP5jx44d3jzk0KFDJpNJecjEiRP9UPlnn3321FNPuXbJuLJYLPPnz//qq6+8KV4IkZeXN2XKlBpdMjUcP378kUce2b17t5sxsiyrl04IkZ2d/cc//tH9swYAAAAAAAAAtGjMKAMAAAAIIURISEi/fv1++uknZXPRokUvvPBCRERE4zN369Zt3Lhx/fv3b9u2rV6vF0I4HI6ysrI9e/asXr3abDYLIfbt25eZmfnggw82IH90dHRiYqLSNbJ169aHH35Yq9W6f8jmzZuVQKPRJCcnN3XlBw4ceP3119XNW265ZdKkSR06dNBoNGazuaCgYOXKlSdPnlyyZEmtXTs1nDhxYu7cuepmUlLSQw891K1bt5CQELvdfubMmczMzO+//145+te//nXRokVJSUke0+bk5CiXpVevXlOmTOnVq5der5dluaSkxH23DQAAAAAAAACgBWFGGQAAAODfHnjgATU+ceLEb37zm/fee+/MmTOyLDcs4aBBg9LT0994441Ro0Z16dLFYDBIkiRJkk6na9eu3R133PHee+/1799fGZyVlVVWVtawE6n9JXa7/ccff3Q/uLKyMjs7W4lvv/32kJCQJq3c4XAsXrxY3Xz22WdnzpzZqVMnrVYrSZJer09MTHzttddGjhwphNi4caP74h0Ox4IFC9TNqVOnLlq0qHfv3qGhoZIkhYSEdO/efe7cuU888YQ6ZvHixVar1X1aIcSmTZtkWR4/fvySJUsGDhyoPGWNRtOhQwdv2ncAAAAAAAAAAC0CM8oAAAAgwCZMmCBJkjcj09PTO3bs2HSV/OIXvxgyZMi3336rbDocjqysrKysLK1WO2jQoMTExD59+nTu3DkyMtLLhCkpKe4HhIWFzZs37+GHH7ZYLEKI7du3T548uQGVJyUlabVaZf2gTZs2uZkkRgjhOj/KmDFjah3jw8o/++wzo9Goph08ePDlYzQazcyZM0+cOHH8+HH35/3iiy8uXLigxKNHj7777rtrHTZq1Kji4uKsrCwhhNls3rhxozcXNikpaerUqV7+awQAAAAAAAAAtEQ0ygAAACDAnE6nlyMbPLOL92bPnr1y5cpt27a57nQ4HHv27NmzZ4+yGRcXN2rUqJEjR8bHxzf+jAaDYcKECevWrRONaJTRarXjxo3bsmWLECI3N7eioiIqKqrWkbIsK+0jQoi4uLiuXbs2tHBvK3///feVQK/Xjxs3rq5skiSlpaXNmjXL/UnVbEKIqVOnuhl53333bd682W63CyE2btx43333aTQeJtRMTU2tb5fMzz///Otf/9r9GOUim0wmtcUHdbFarVyl4OH6K93pdHLrg40sy9z0oFVeXh7oEuBvFRUVgS6h+fJm7kNXNrutlgkhhRBCOJyOxtcDOGVv36HXxWa31Znc4bTbbH7+XMrpdAghysvLnbz2aEp2u51Xd8HG4XBw04NWg2fFRsvVHG66yWRSAu8/UHCDRhkAAADgv7Ra7eOPPz5mzJi33357//79tY4pLS1du3bt2rVrr7322t/97nd1taR4Lzk5WWk3KSsrM5vN4eHhDUgyevRopVFGCPH111/fcccdtQ47ffr0+fPnlfjee+9t5OwpHiu/cOGC+keT8ePHa7VaN9l69eoVFRXl5nOU0tJStfiRI0caDAY32UJDQ3/1q19t2rRJCGG1Wk+cONGjRw834+Pj4zt16uRmQK1kWfb42YbaDeCHTq+WjksUzLj7QYibHrS49UGIm+4nXGY0E3X/UwzIbwP5P6fmd1FT4woHIW560OLWB6HmcNN9WwONMgAAAAiwzZs3u++f8L/u3bsvWLCgvLw8Nzd3165dOTk5yqpGNWRnZz/00EN/+ctfEhISGnO66OhoNS4vL29Yo0ynTp06dux49uxZIcT69evHjh1baxPMP//5TzUePnx4A07kymPlJ06cUONrr73WfTZJkm6++eaPPvqorgGnTp1SY2+Kv+GGG5RGGSFEQUGB+0aZESNGeEwIAAAAAAAAAGjpaJQBAABAgDVyUpOmEx0dfeONN954442yLFdWVhYVFR08ePCzzz47c+aMOsbpdD799NOrVq1q3759XXlkWS4sLDxw4MDBgwfPnDlz7tw5i8XiOsB1rsiKigo3qdy77777Xn31VSFEWVnZyZMnu3fvXmOAzWZTV5W69tprr7jiCvcJG195UVGRGnuzUlXPnj3dHHW98ldeeaXHbB06dFDjkydPuh/cpUsXjwkBAAAAAAAAAC0djTIAAACAB5IkRUVFRUVF9evXb+LEiefOnXvzzTf37dunDnjhhReUDpXL7d27d8WKFSUlJV6ey+M6Pm7ccMMNarxt27bHH3+8xoDc3Fy1teXuu+92n80nlSsz3Cjcr5SkiIuLc3PUNZs3K15FRESosWuTTa1iY2M9Jqz1UdOnT3c/ZufOnUKIkJAQb65A0LJarXa7XavVhoWFBboW+Ily05VYkiS9Xh/YeuA3DodDabvkt2LwcDqdZrNZ3QwPD9doNAGsB/5kMpmEEGFhYc1tCsnmo75Xxs2Pj6SRAj8hPlo+STT2qyxabZ3/SjUajUbj798GGkkSQoSHhwtee/ia60t6jUbTsPlx0RLZ7Xar1cr7uKCivo9T6PX6ZvvVR/iWLMvV1dWiNd50GmUAAACA+unQocP8+fNXr169ceNGZc/x48eLiooun+Nk5cqVW7du9VthBoNh2LBhu3fvFkJs3779kUceCQkJcR2QlZWlBOHh4e6Xi/JV5a7dM958JOa+ScJms6mxTuf5vYzrGWvMhXM5bxJeLjY2NiUlxf2Y77//XtAo44nT6bTb7TqdjqsUPGRZdm2U4dYHD6vVarFYuOlBxWaz1WiUadh/dtESKY0y4eHhNV6XQlXfRhlt3U0GGknjrOsY4LXGfwbmphVG0kiauttomogkaYTSpslrD19zOByujTK8ugseZrPZarVy04OKxWKp0ShD73uQcDqdaqNMwG+6LP+7LdwnlfCmFAAAAGiIBx988IsvvigrK1M2Dx06VKNRZufOnWqviUajufPOO4cMGXLllVdGRETodDpJktS/PxYVFaWmpvqkqrvuuktplJFlef/+/YMHD1YPlZWVHT58WB3m5i/yPqw8NDRUjZ1Op8ePAdy3s7h+vuJwONynEv+7MhTzlAAAAAAAAAAABI0yAAAAQMNoNJqxY8dmZmYqmz///LPrUYfDsWLFCiWOiop644033Kzs403Ph5f69u0bERFhNBqFEOvXr3dtlPnqq6/U+LbbbnNTjA8rb9++vRqbTKbo6Gj34y9cuOBltsrKSteVlWqlXAfF5fP9AAAAAAAAAACCEHMiAQAAAA3UuXNnNVamoFQVFRWpXRpPPvmkm14TIURxcbGvSpIkacKECUqcn5+vTngjy/KGDRuUuFu3bvHx8XVl8G3lnTp1UuOSkhJP5Yvjx4+7Oep6wYuKijxmcy2vW7duHscDAAAAAAAAAFo9GmUAAACABqqqqlLjGnOlnD59Wo379evnPk9OTo4Pqxo5cqQaf/nll0pw7NixiooKJb733nvdPNy3lXfv3l2N9+3b536wcCm4Vl27dlXjb7/91mO2PXv2qHHPnj09jgcAAAAAAAAAtHo0ygAAAAANtHfvXjXu06eP6yGLxaLGWq3WTRKLxbJjxw4fVtW2bVu1mI0bN8qyLITYunWrOsB1PaZa61HjxlceFxenzkmzefNm90s1FRQUlJeXuxnQrl27uLg4Jf7Xv/5lNpvdDLbZbB999JESh4aG9ujRw32pAAAAAAAAAIBgQKMMAAAAIIQQJpNpy5YtNpvNy/FFRUWuE5bUmHxF7ecQQpw6dcpNnoyMDLvdXp9KPbvnnnuUoLKysqCgwGKxfPHFF8qeW265JSwszM1jfV75fffdpwQmk2n79u11DZNlOT093ftssiyvXbvWzcjNmzerTT933XWXRsN7HwAAAAAAAAAAjTIAAADAf2RkZEyePHnjxo0mk8n9yHPnzs2ePVvdHDJkiDpviqJbt25qvHTp0lobSmRZ/uCDD7Zt29a4qmtxzTXXSJKkxFu3bnWd+ebOO+90/1ifVz5q1CiDwaDEK1as2L9/f60J09PTCwoKPGa79dZb1Uu9ZcuWuqa02bVr15o1a5Q4LCxM7RwCAAAAAAAAAAQ5GmUAAACA/7JaratXr77//vv//Oc/f/PNN2fOnFHX95Fl2WQy/fTTT6+++upjjz1WUVGh7I+MjJw5c2aNPJGRkcOGDVPiwsLCtLS03NxcNZXJZMrNzZ01a1ZmZqYQYtKkSb59FiEhIbfffrsSf/nll++8844SR0dHe1yByOeV63S6OXPmqJvz5s1bvnz5uXPnnE6nEMJqtR4+fHjWrFlKy8tdd93lPptWq33uuefUzWXLli1evPjkyZNKQ4/D4Th9+vSSJUteeeUVdczTTz8dHh7usU4AAAAAfhYT2emhu96Nb9s30IUAAAAguOgCXQAAAACC3YQJE9TpTzx6880327dv36T1KPbs2eO6slJdYmNjX3nlFXXGFFczZszIzc2tqqoSQpw9e9a1vcNVWlpaUlLShg0bGllwDWPHjlVnfCkpKVGCe++915tL7fPKk5KSHn/88eXLlyub27Ztq3U2mhkzZnTv3v3DDz90n61Xr14LFixYsGCB0mrz/ffff//993UN/sMf/jBo0CCPFQIAAAAAAAAAggQzygAAACDAnE6nw2uyLDdRGQaDISMjIyUlpVOnTt6M1+v1jz766FtvvdWuXbu6Ei5fvrxPnz51ZQgPD58/f/7o0aMbWLFbXbt2jYuLq7Hzxhtv9OaxTVH5mDFjXnjhhYiIiFqP6nS6uXPn3nbbbV5mS05Ofvvtt/v16+dmTNeuXVeuXHnzzTd7XyQAAAAAAAAAoNVjRhkAAADg3+Li4saPHz9+/PjKysqjR48eOXLkxIkTp0+fLi4uttls4eHhHTt27Ny5c69evZKSkrp27arVat0njI6Ofvnll48ePbpz584DBw4UFhYKIeLj4xMSEoYMGZKcnBwSEtJEz0WSpHvvvTc9PV3dk5iYGB0d7eXDm6LyAQMGrFmzZu/evd99993+/fsvXboUExPTu3fv4cOH33DDDfVdHSk2Nvall14qKSn55ptvDh06dPjw4aqqKoPB0Ldv34SEhKFDh3bu3Lm+FQIAAAAAAAAAWj2p6b6SCwAAAACYNm1aTk7O9OnTU1JSAl1L81VVVWU2m8PCwiIjIwNdC/zEaDRWV1crsUajadOmTWDrgd9YrdaKigpJktq2bRvoWuAnNputvLxc3YyJidHp+PJesCgtLRVCREdHN12DeEt3YX+B+fwl78dHRIbodLX/SV+XECuFe2jlr9XxCq0PPyS4tnPPatO//xM/7dHfPTH9Kd/lhl9oNFWRoQ14nMlkstlsYWFhnduHRupttY5pK2w6m1U2WxpXYv1ITuG4VK3p1l/S1z7FKRqssrLSYvn33dTpdDExMYGtB35jNpurqqq0Wm1sbGyga4GfWCyWyspKdbNNmzYaDQvXBAWn03nx4kXRPG660Wi86aabhBDr16/v0aNHI7PxphQAAAAAAAAAgABom9wr0CWI/j79lFMSkhq3a3/F1b+40pfZ0YxVVOisVqter69ryd1/0wspyl81/Ye2g7/PCAAAmjlavQAAAAAAAAAAAAAAABAUmFEGAAAAaF7MZvPkyZOVeMaMGSNHjgxsPTUcPXp09uzZSpyent6xY8fA1uNecXFxamqqEi9cuDAxMTGw9QAAAABCCOupM6YfDzU+T2R/vUbr9HCu9u0cIVKth/510Pczezic/13H6dTPl776tMBXmcPaa+3xTiGETiP1iXC2kaurTluLvin2VX40UnV1tcPhCAkJCQsLC2wlbQf1aQ5zNQEAgOaMRhkAAAD43uTJk81ms5sBBoOhc+fOV1111TXXXHP11VcbDAa/1dYiOBwOJXA6PfzVOyDU8mRZdj8y4GRZVqsFAAAAmglT3uGil5c1Pk/fp/vI5lL3Y6puG22VL9V6aNH23o2voQabS6PMjzlFGVXf+ipzwqj2xxNLhRAxYfoHuoTFWg9Zzkbvfux9X+VHq3HNohQaZQAAgHs0ygAAAMD3HA6H++6EysrKw4cPHz58+J///KcQYuzYsVOmTAkPD/dXgQAAAAAAAAAAIBhpAl0AAAAAIP75z38+8sgj5eXlgS4EAAAAAAAAAAC0ZswoAwAAgKa1efNmrVbrukeWZbvdfuHChf/7v/9bs2aN3W4XQlRUVMyePXv58uUaDc3cAAAAAAAAAACgSfAhBAAAAJqWJEmX7wkJCenQocOECRMyMjL0er2y/+zZs3v27PF7gQAAAACAACivPLPm46klF/IDXQgAAACCC40yAAAACKSYmJiZM2eqm1999VUAiwEAAAAA+I0shNPpEEIOdCEAAAAILjTKAAAAIMASExPVOC8vL4CVAAAAAAAAAACA1k0X6AIAAAAQ7AwGgxpbLBaP42VZPnXq1I8//njo0KFjx45dvHhRp9N17ty5d+/egwYNGjhwYGhoaMMqkWX5wIEDu3bt+vHHHy9cuKDX6/v27XvdddeNGDHCtUj3HA7H3r179+zZ88MPP1y6dCk2NrZPnz7Dhg0bPHhwgwtzX7Nvr4bD4cjJyfnuu+9yc3PLyspiYmL69u07dOjQ66+/vmH1OxyOgwcP7t+//9ChQ6dOnbLb7W3btk1MTPzFL35x3XXXeZ+zpKQkJyfnhx9+OHnyZGlpqUajadeuXY8ePa6++urk5OT4+HjvS/LJjQYAAAAAAAAAtEQ0ygAAACDAqqur1bhTp05uRhqNxk8//XTDhg0VFRWu+61Wa35+fn5+/ieffCJJ0vTp00eNGiVJkptUxcXFqampSrxw4cLExMRz5849//zz586dc03e3tTuAAAgAElEQVS7Z8+ePXv2pKenz5o168Ybb/T4XPLy8v7yl78YjUZ1z/nz58+fP7979+6wsLBnnnkmOTn56NGjs2fPVo6mp6d37NjRY9pa+fBqqI4cObJw4cLKykp1T2lpaWlpqVL/nDlzrrnmGu8rlGV5+/btGRkZNfqfioqKioqKduzYodVqH3vssdtvv919eZWVlX//+9+zs7Nr7C8sLCwsLFSW6+rfv/8jjzzSu3dvj1X55EYDAAAAAAAAAFooll4CAABAgB06dEiNr7/+ejcjZ8+enZGRUaMvpAZZlpctW7ZgwQKn0+l+mOM/hBAFBQXTpk1zbZ6oMfiVV17Ztm2bu6chxMcffzx37lzXLhlXFotl3rx5O3fuFEKop5Zl2X1ON3x4NRSfffbZU0895dol48piscyfP1/pSvGGyWR66qmnli9f7maWIIfDsXz58kWLFil3oVbl5eWPPvro5V0yNRw+fHjWrFmuTVe18smNBgAAAAAAAAC0XMwoAwAAgECqrKx87bXX1M3bbrvN40O6des2bty4/v37t23bVq/XCyEcDkdZWdmePXtWr15tNpuFEPv27cvMzHzwwQe9qeHAgQNZWVmyLPfr1++hhx7q0aOHXq+XZbm0tDQrK2vHjh3KsOXLlw8ZMiQmJqbWJDk5OatWrVI3x4wZc9ddd7Vv316j0VgslmPHjv3jH/8oKCj429/+NnHiRG+q8pKvrsaBAwdef/11dfOWW26ZNGlShw4dNBqN2WwuKChYuXLlyZMnlyxZ4k39Fotl5syZxcXFyma7du0efvjhgQMHRkVFSZJksVjy8/NXrVp18uRJIUR2dvaSJUvUWXZqWLBggclkUuIhQ4ZMmDChU6dOBoNBkiSn01lVVaVMKqPeJvfPsfE3GgAAAAAAAADQotEoAwAAgABwbeZQZwGZPn16XFycm0cNGjRozpw5nTt3rrFfp9O1a9fujjvuuPXWW59//vnDhw8LIbKysu68887Y2FiPxaxbt04I8dBDD02cOFFdA0iSpPj4+LS0tK5du6odMBs3bvztb397eQabzfbXv/5V3Vy0aFFSUpK6GR4ePmDAgCVLlqxatWrr1q0bN270WJI3fHg1HA7H4sWL1c1nn3128ODB6qZer09MTHzttddef/31L774wpv6X3/9dbVLZuzYsY8++qhWq1WPhoeHDxw48LXXXktPT//Xv/4lhPjmm2/GjBmTmJhYI8+ZM2cKCgqU+IEHHrj//vtdj2q12ujo6Ojo6KuvvjolJeWjjz5yX1XjbzQAAAAAAAAAoKWjUQYAAABNa8KECWpTguLydXa6dOkyY8aMfv36uU+VkpLifkBYWNi8efMefvhhZbmf7du3T5482ZsiR44cOWnSpFoP3XnnnVu2bDl//rwQYseOHSkpKTWejrJfmbtFCJGWlubaJaOSJOnRRx/9+eefDx486E1JHvnwanz22WfqilEpKSmuXTIqjUYzc+bMEydOHD9+3P15CwoKvv76ayUePHjwtGnTLr9iSsK0tLT8/PwTJ04IIV599dW33nqrxsijR4+qsfuZbPR6/X333ee+MNHoG3258+fPu84kVCulFcxqtVZVVXlMGLRsNpsQwm63c5WCh91uV2NZlrn1wUNZDZCbHlRqLAFpMpk0GpaDDy7V1dVuluMMTr66ILLT6fE1q8PhEK3iZ87h+PcvE9npVN5UulnCFcGMN19+4/qSXpnzNYDFwJ+UX7/c9KBS47+5RqPRm7+boRWQZVkJmsNNV+cdr/Ees2FolAEAAEDT8viydfTo0VOnTjUYDD45ncFgmDBhgjJ3iPeNMm6mD5EkacKECStWrBBCmM3mixcvtm3btsaYrKwsJbjiiituvfVWN6mmTZv25JNPelOST3h5Nd5//30l0Ov148aNqyubJElpaWmzZs1yf9K1a9eq8cyZM928g5IkacaMGUrC8+fPnz59ukuXLq4DLly4oATh4eEhISHuz+uNRt7oy1VWVm7atMn9mJ49ewoh7Ha72k2FujgcDj7tCE6yLPMDEoS46UHLarUGugT4Gzf9ckqXcOOpH100ckyLoL61lOV/xz75jAStD2++AsLpdHLZgw3v44IZPdBBqDncdN/+zmkVneQAAABoyXbs2HH//fe/8847rl9Faozk5GQlKCsr8+bVc3JycmRkpJsB/fv3V+OLFy/WOFpaWlpWVqbEd999t+saQ5fr3r27N+0XPuTxaly4cEHtRxk/frz7+nv16hUVFeVmQHV1dXZ2thLfdNNN7i+sklCv1yvxt99+W+Oo+nCz2azOedNgjbzRAAAAAAAAAIBWgBllAAAA0LQ2b958ee+F0+k0Go1Hjx5ds2ZNQUGBEGLTpk0//PDDiy++GB4e3sgzRkdHq3F5ebnHhNddd533CS9dulTjqLJykELtSnFjxIgRW7Zs8TjMVzxeDdf6r732WvfZJEm6+eabP/roo7oGuGYbMWKEx/IkSUpMTNyzZ48Q4qeffqpxtHfv3mr84osvzpkzpzEzDzXyRgMAAAAAAAAAWgEaZQAAANC0al15R6PRREZGXnPNNcnJyRs3bnz33XeFEMePH1+8ePGiRYvcJ5RlubCw8MCBAwcPHjxz5sy5c+dqTPzoOv92RUVF+/bt3Sfs0KGD+wGhoaFqfPm88WfOnFHjdu3auU8lhOjRo4fHMd5r/NUoKipS4/j4eI9nVBYSqsvp06fVuGvXrh6zCSG6dOmiNMocOXKkxqHu3bt36tRJucK5ubn333//8OHDx4wZ07NnzwZ0zDTyRtcqJCTE49PUaDRCCEmS3M/WE+ScTqcsy5IkKZcLwUC56eomPyDBQ5Zl5b9N3PTgod50hUajCfja9vAbZVFFbvrlfPeaJ5gurPTfQJIkIdf+ZhPgzZff8JI+aPGSPgjxkj6YKS/pm8PPu29roFEGAAAAgSRJ0sSJE3Nycg4ePCiEyM3NPXz4sOsKODXs3bt3xYoVJSUlXub3pt0hLCzMy2y1Ki4uVmNvujd8uPSST67G2bNn1dib+uPi4twcLSwsVOMnn3xS+QBA+cOZLMtqIFz+oKa81xJCVFZWKq0SagZJkhYsWDBjxozq6mplzzfffPPNN98IIdq2bTt48ODrrruuf//+ERERHssWjb7RterSpcumTZvcj5k2bZoQQq/Xx8bG+ryAVqOqqspsNoeGhnpcrguthtFoVH+0NRoNPyDBw2q1VlRUSJLETQ8eNputvLxc3YyKitLp+JtksCgtLRVCREZGhoSEBLqW5kUyGHwygaFGqxE2D2N0Op1XPeDNXsh/fnVoNBqdTiesgl8mqBVvvvymsrJS/a6OTqeLiYkJbD3wG7PZXFVVpdVq+VkLHhaLpbKyUt2MiYnhm05Bwul0KivUR0dHB/ymq99y9EklvI4EAABAgEmS9MADD8ydO1fZ3LJlS12NMitXrty6dasfS/OKa/eJN6/RfdWu4aur4dv61Y+9hRBms7kxhSni4+PffvvtjIyMf/3rX677L1y4sG3btm3btgkhrr322ilTpng5gQ0AAAAAAAAAIJjRKAMAAIDA6969uxp/++23NaYVUezcuVPtC9FoNHfeeeeQIUOuvPLKiIgInU4nSZL6kKKiotTUVL8ULoQQrt+OdTqdHmeA9HJNH/d8eDVc1xvypv4aSzvV0BTf6TQYDE888URKSsoPP/ywe/fuPXv21KghOzs7Ozt7woQJDz/8MPO+AgAAAAAAAADcoFEGAAAAgVdjxZ/q6uoaexwOx4oVK5Q4KirqjTfecDO5q7qUj3+0b99ejaurqz3OKn/hwoVGntG3V8O1fpPJFB0d7X68+/pds61bt87LRZG8YTAYhg4dOnToUFmWL126dPz48a+//vqrr75Sn+CmTZu6du06cuRIX50RAAAAAAAAAND6sHgYAAAAmh2bzVZjT1FRkdFoVOInn3zS/RLIxcXFTVVZbTp16qTG58+f9zj+xIkTjTyjb6+Ga/0lJSUez378+HE3R6+66io19uZqNIAkSbGxsYMGDfrd736XlZWVkpKiHlq5cqXT6WyKkwIAAAAAAAAAWgcaZQAAABB4JpPJdTMsLKzGgNOnT6txv3793GfLycnxVWHe6Natmxr/8MMPHsfv2rWrkWf07dVwXfdq3759Hs/+5ZdfepnNDzdCp9ONHz9+1KhRyqbJZLp48WJTnxQAAAAAAAAA0HLRKAMAAIDAc51kJSIiIjw8vMYAi8Wixlqt1k0qi8WyY8cOn1bnQbt27SIjI5V48+bN7mc0KSwsbPw8K769GnFxceqcNJs3b3a/VFNBQUF5ebmbAdHR0f3791fi9evX2+1292f3iaFDh6pxZWWlH84IAAAAAAAAAGihaJQBAABAgMmyvHbtWnXzl7/85eVj4uLi1PjUqVNusmVkZPinOUMlSdI999yjxBUVFV999VVdI2VZXrlyZePP6POrcd999ymByWTavn17XcNkWU5PT/eY7aGHHlKC6urqVatWeRzfeK6zyFxxxRV+OCMAAAAAAAAAoIWiUQYAAAABtnnz5oMHD6qbd9111+VjXJc3Wrp0aa3NH7Isf/DBB9u2bWuKIt0bO3ZsaGioEv/9738/fPjw5WNkWX733Xdzc3MbfzqfX41Ro0YZDAYlXrFixf79+2tNmJ6eXlBQ4DHbgAEDhg8frsTbtm3LyMhwP0uNEKK0tPS9994zGo019q9fvz4vL8/9w6urq9977z0lDg8Pd+0iAgAAANCcxUR2euiud+Pb9g10IQAAAAguNMoAAAAgAGRZNplMeXl5s2fPfuedd9T9v/nNb9q3b3/5+MjIyGHDhilxYWFhWlpabm6u2WxW9phMptzc3FmzZmVmZgohJk2a1ORP4H+FhobOmjVL3fzTn/6UkZFRUlKiLMNktVrz8/OfeeaZjRs3ijo6gerF51dDp9PNmTNH3Zw3b97y5cvPnTun1n/48OFZs2Ypqzh5U//MmTM7duyoxFu2bHnwwQc/+eSTc+fOWa1WZafT6TQajSdPnty+ffvvfve7lJSUrKysy1etOnbs2Ny5c++7776VK1fm5uZevHjRZrMphxwOR1lZ2c6dOx977LGysjJlZ2pqqiRJHssDAAAAAAAAAAQtXaALAAAAQCs3YcKEGr0Lsixf3hIhhBg1apS6htHlZsyYkZubW1VVJYQ4e/bsc889V+uwtLS0pKSkDRs2NK7qehsyZMhDDz307rvvKptbtmzZsmXL5cNmzJjRrVu3Dz/8UNlscFeHz69GUlLS448/vnz5cmVz27Zttc5GM2PGjO7du6v11yUsLOy1115btGhRXl6eEKKqqmrFihUea6iL1WrdunXr1q1b3Q8bPXp0ret2AQAAAAAAAACgYkYZAAAANC2n0+n4X5d3yXTs2PHPf/7zE0884aZxxGAwLF++vE+fPnUNCA8Pnz9//ujRo31Wej1NmjRp3rx54eHhtR7VarXPPPPMbbfd5vr0dboGdq43xdUYM2bMCy+8EBERUetRnU43d+7c2267zcts4eHhf/7zn5999tno6Gj3IyVJGjVq1BtvvBEZGel9ta4iIyOfeuqp6dOnM50MAAAAAAAAAMA9ZpQBAABAAOh0uvbt23fv3r1fv36DBg3q1KmTNy0O0dHRL7/88tGjR3fu3HngwIHCwkIhRHx8fEJCwpAhQ5KTk0NCQpq+dncGDRq0du3a7777bs+ePbm5uZcuXYqJiendu/ewYcOGDBmi9NCUl5er4+vqSvFGU1yNAQMGrFmzZu/evd99993+/fvV+ocPH37DDTfU1QNUF0mSBg8e/O677546dWrv3r1Hjx7Nz8+/dOmSUmeXLl169uw5cODAPn361FXq7Nmzz58/f+rUqRMnTvz8889nz549f/58dXW10+mMjo7u2rVrQkJCcnJynz59NBq+AwAAAIAWI6RTh+jbbvJBorg2kmRxPyRMdNDq2tV6aExCBx/U8L/yJEn9ZsCVXaOH3HSVrzK37WFoF3+FECJcq4sNEyKkv0Yv9/z1Lb7Kj0ay2WxOp1Or1Tb4CyG+Ent198AWAAAAmj9JluVA1wAAAAAEkY0bN65evVqJP/zwQyZBafWmTZuWk5Mzffr0lJSUQNfSfFVVVZnN5rCwsAZPLIQWx2g0VldXK7FGo2nTpk1g64HfWK3WiooKSZLatm0b6FrgJzabzbVROCYmJuCfocJvSktLhRDR0dEB72iH30RERJhMJiV+9tlnFy1aFNh64DcVFRVWq1Wv1zfmCyFoWSorKy2Wf/fq6XS6mJiYwNYDvzGbzVVVVVqtNjY2NtC1wE8sFktlZaW62aZNG760FiScTufFixdF87jpRqPxpptuEkKsX7++R48ejczGv2AAAADAr77++msl6N69O10yAAAAAAAAAAD4E9/eAAAAAPyntLT0+PHjSnzbbbcFthgAAAAAvuK02psuuRQiifo02ctCOGUhy0IEdEJ5p1O2252ex6FVsNud6v8an03SyI38YokkCcnhEEISQghZluV6ZJN02nr9xAEAgBaHRhkAAADAT2RZTk9PVzevu+66ABbjjcmTJ5vN5loPabXayMjIq666qkePHtddd12vXr20Wq2fywMAAACaj00DplYeK2qi5GMqH5Qli/fjjfaIl3M1zuKu+45Zm6ikuphdmiT+uenw6YOZfi4ArcPox9uF9r7QmAwJ+pir3t7gPFcohLBfmXxm29F6PHbn5sacGgAANH80ygAAAAA+IMtyRkbGvffeGxkZWesAh8Px1ltvZWdnK5tDhgzp0KGDHwtsCIfD4XA46jp04cKFCxcuZGdnr1+/Xq/XT5s27Ze//CWLSQEAAAAAAAAAmjMaZQAAAADf+PDDDz/88MNbbrnllltu6dat2xVXXCFJksPhqKio+OGHHzIzM0tKSpSRWq02NTU1sNX6VnV19auvvvr5558vWLBAp+NdBgAAAAAAAACgmeJP2AAAAIAvff75559//rmbATqd7qWXXoqNjfVbST6xefNm18WVZFm2WCynTp3KzMzcv3+/sjMvL++NN974/e9/H6AaAQAAAAAAAADwQBPoAgAAAIAgkpycvHr16l69egW6kHqrsaaSJEnh4eF9+vRZsGDBY489pu7/8ssvjx6tx9LvAAAAAIJWeeWZNR9PLbmQH+hCAAAAEFyYUQYAAADwAUmSPvjgg59//vnw4cMFBQWnT5++ePFiZWWlTqeLi4vr169fv379hgwZ0uImkvHGnXfeuW/fvuzsbGVz06ZNf/rTnwJbEgAAAIDmTxbC6XQIIQe6EAAAAAQXGmUAAAAA39Dr9QkJCQkJCYEuJAAefPBBtVFm9+7dsizXmIEGAAAAAAAAAIDmgEYZAAAAAI3VtWtX183y8vKYmJhaRzocjoMHD+7fv//QoUOnTp2y2+1t27ZNTEz8xS9+cd1114WGhtb31A6HIy8vb/fu3YcOHSopKbHb7QkJCYsXL27gMwEAAAAAAAAAtGo0ygAAAABoLK1WazAYTCaTsmk0Gi9vlJFlefv27RkZGRaLxXV/UVFRUVHRjh07tFrtY489dvvtt9c1G01xcXFqaqoSL1y4MDExMT8/f+HChRUVFa7DbDabGn/99dd/+9vflDgzM9NgMLh5Fnl5ec8//7wSr1y5sl27du6fNQAAAAAAAACgxaFRBgAAAECTM5lMzz//fH5+vpsxDodj+fLle/funTt3rlarvXyALMsOh0PdzM7OXrhwofvz1niIR+pgWZa9fxQAAAAAAAAAoKWgUQYAAABAYzkcDnU6GSFERESE61GLxTJz5szi4mJls127dg8//PDAgQOjoqIkSbJYLPn5+atWrTp58qQQIjs7e8mSJbNnz3Z/xpycnM2bNwshevXqNWXKlF69eun1elmWS0pKdu/e7eOnBwAAAAAAAABoLTSBLgAAAABAi1dYWOi6GR0d7br5+uuvq10yY8eOXbly5Y033hgTE6PRaCRJCg8PHzhw4GuvvTZq1ChlzDfffJOXl+f+jJs2bZJlefz48UuWLBk4cKDBYJAkSaPRdOjQYeLEib57ZgAAAAAAAACAVoUZZQAAAAA0VmZmphpff/31kiSpmwUFBV9//bUSDx48eNq0aa5HVRqNJi0tLT8//8SJE0KIV1999a233qp1pCopKWnq1KnuxzQ1s9l85MgR92PsdrsQwuFw2Gw2vxTVIjmdTuX/uUrBQ7npKm598FB+K8qyzE0PHspNd91kicNgU+PfQGvVxP+w65dcKYafNbRcsuz0PMhDBln9EXDW82fBZrOJgL7TbClcX9Lz6i6oKOtWc9ODSo2VzW02m0bDfBxBQf1V3xxuuvo7xyevcmmUAQAAANAoO3bs+P7779XNGhO6rF27Vo1nzpzppq9FkqQZM2bMmjVLCHH+/PnTp0936dLFzXlTU1MD2yUjhCgqKvrtb3/rfkzPnj2FEBaLpby83C9FtWA2m42rFJycTie3Pghx04NWVVVVoEuAvxmNxkCX4A81ekB9S5ZlUa9XvrIsLvtMC2hBGv+v1263O51O5efGUc92vfLychpl6svhcPDqLtjwPi6YVVZWBroE+FtzuOkmk0kJaJQBAAAAEDBWq/X06dPr1q1z7ZIZNmxYv3791M3q6urs7GwlvummmyIjI93n7NWrl16vr66uFkJ8++23bhpl4uPjO3Xq1KgnAAAAAAAAAAAIPjTKAAAAAPBswoQJrtO31Pr1vj59+vz+97933aOso6QYMWKEx7NIkpSYmLhnzx4hxE8//eRmpDfZAAAAAAAAAACogUYZAAAAAJ65n0lep9M98sgjt99+e42lak+fPq3GXbt29eZEXbp0URpljhw54n6YN9kAAAAAAAAAAHBFowwAAACAhoiIiOjevXuvXr0GDx7cr1+/kJCQy8cUFhaq8ZNPPqm00SiLyMqyrAZCCKfTqQTqXDWVlZWyLEt1LAwfGxvr4+fTIFdeeeU777zjfszf//53IUR4eHhMTIw/amqZqqurLRZLaGiowWAIdC3wE+WmK7FGo4mKigpsPfAbm81mNBolSYqOjg50LfATu91eVVWlbkZGRmq12gDWA3+6dOmSEP/P3r3HRVXnjx//nJkBhkEYEEVDEfOKF2TNW14rv0XrpRvZqrVa0kXTzMrWdje3vNTu1jd/W5H61YrdvESKpVsZulmZl0crYaXgDc0ElFBB5DIwDDNzfn+c3bOzCIfLDMwAr+df7zPzmc/nPeecgTkz7/l8RIcOHQyGtv9BdI2Scc+SJEluVHudTgih1+uF0Kp3B3yW3u0/GgaDQafXyf+OG/XY0NBQUcelKFxVVFTYbDYl1uv19a62jDbDZrNVVFRw0NsV5aCrmyEhIc36zge+w+l0lpaWCt846Ornz3V9Ytwobf/6BAAAAID7tm/f3oTvtCorK9XYarV6MB8f+a7FaDQOHjxYu42Sqk6n85GcfZNyfStJEnup/ajx8QqHvv1QpyjjoLcfSi2sSq/Xc/Tbm3Zy0D3yeb1G9015DN/0o9WSmnTO/1cPkiSJf1WYNfa1YDAYKJRpCNcdy9Vcu2K325WAg95+1FiE3WAweL1mAi3D9RLe6wdd/ZvjkXe5nMEAAAAA6te0yw8+MQEAAAAAAAAA+BQ+tgYAAADQXLp06aLGKSkpQUFBXkymxs/Zr1XjxzEAAAAAAAAAgLaHGWUAAAAANJfrr79ejS9fvtzyCbguF1VvHUxhYWEzpwMAAAAAAAAA8DIKZQAAAAA0l549e6rx4cOHWz6BkJAQNS4rK9NunJWV1czpAAAAAAAAAAC8jEIZAAAAAM3FbDYPGDBAibdu3Wq321s4gU6dOqnxTz/9pNHSZrPt3bu32RMCAAAAAAAAAHgVhTIAAAAAmtHs2bOVoLKy8u23327h0SMiIiRJUuKPP/5Yo+WWLVucTmeLJAUAAAAAAAAA8BoKZQAAAAA0o0GDBo0bN06J09LSkpOTHQ6H9kMKCws3btxosVjcH12v16ujnzx58tChQ7U2+/LLL1NTU90fDgAAAEDDhQZ3m33Xhojw/t5OBAAAAO0LhTIAAAAAmteiRYuuu+46Jd6xY8esWbN27txZUFBgs9mUG51Op8ViycnJ2bVr11NPPZWYmJiamuqp+V1mzZqlxi+//HJKSsrVq1dlWRZCVFVVnT59etmyZa+//rper7/vvvs8MiIAAAAAAAAAwGcZvJ0AAAAAgDYuICDgjTfeWLlyZWZmphCivLx83bp1LTZ6165dZ86cmZKSomympKSosas///nPNpuNeWUAAAAAAAAAoG1jRhkAAAAAzc5oNL700ktLly41m83aLSVJio+PT0pKCg4O9tToM2bMmDdvXl33durUafXq1f37M987AAAAAAAAALR9zCgDAAAAoCVIkjRy5MgNGzbk5uZ+++23p0+fzs7Ovnr1qhAiIiIiKiqqd+/eQ4YM6devn5+fn8eHnjx58vjx4/ft2/ftt9+eOnWqoqKiU6dOgwYNuvnmm+Pi4vR6vWdHBAAAAAAAAAD4JgplAAAAANRu69atHu9TkqTo6Ojo6OgmPLZr164ff/xxk4cODg6eMmXKlClT6moQGxvrTv8AAABoz+49taH5OpckWUhSw9vLQvzfeOGURSMe4yHBK3QVtn/FU+4dsHLlr1s8BXhHaWmpzWYLDAwMCgpyvzdZNOqUr4UkJPG7yf/uTjYvaflXAwAA8F0UygAAAAAAAAAA4BZJ16xfwzeuc6W13tuFAZIkSW4WO6D1kFx4oDf3uxAutTachwAA4L9RKAMAAICWc/HixXnz5inxihUrYmNjvZuPF1mt1pkzZyrxwoULJ06c6N18Wi/2JAAAAAAAAACg4SiUAQAAqMfMmTOtVmujHvLee++FhIQ0Uz6tmizLDofDK0NrHEe9Xh8cHHz99df36tVrxIgRffr00ev1LZCSuiucTg1fipoAACAASURBVGcLDNeGsScBAADgdYeeWl158Ypn++x5w3WGiqvX3h4+7jpjSFkTOqyW9S8WjHE7L80hHLIaf3fowprX9jfrcPA4P6Ne3CrX3+4a1dXVTqezU2Dg9aHeueoXQkQF+ZsMpfU26+A3zKALa4F8AACAz6JQBgAAoB4Oh8NbtR3wII3j6HA4ioqKioqKMjIytm7dGhgYOHfu3FtuuYVJwgEAAAA0UN7Of5b9mO/ZPruYhstnTl17e8eBI+TSH5vQoVME/CO7t9t5aXHI/6mxyM8rOXTgXLMOB4/rEBJgj7M3+eFR9hCDocSD+TRKV1NYpSOv3mYmv0EtkAwAAPBlOm8nAAAAAPiWysrK119/fenSpXZ70z8cBAAAAAAAAAAAPogZZQAAABph+/btLbMoD5pVjeMoy3JVVVVubu7mzZu///575cbMzMykpKSnn37aSzkCAAAAAAAAAADPo1AGAACgEViLp22ocRwlSTIajf369Vu+fPmnn366fv165favvvpq6tSpffv29UaOaCij0fjxxx97OwsAAAAAAAAAQOvA0ksAAADAf0ydOnX48OHq5kcffeTFZAAAAACgrSopu7DpkzmXirK9nQgAAADaHQplAAAAgP8ya9YsNT548KAsy15MBgAAAADaJFkIp9MhBBdcAAAAaGksvQQAANDSHA5HZmbmwYMHjx8/funSJbvdPnDgwJdffrnWlseOHfv++++PHz+em5trt9vDw8NjY2N/8YtfjBgxwt/fvwmjy7KclZW1b9++o0ePFhUVBQYG9u/ff8SIEePHjzeZTA3vx+l0njp16ocffjh58uSPP/5otVqDg4P79Onzi1/8YtSoUZ06dWr5lDylR48erpslJSWhoaHXNrt8+fLBgwdPnDhx8uRJi8WiLN40cODAMWPGREZGtlSyTeep3e6ps/TSpUuHDx/+4YcfcnJyCgsLdTpd586de/XqNXjw4KFDh0ZERDTpWf4XWZZzc3OPHj16/PjxH3/88cqVKwaDoXv37n379h02bNiQIUOa9poCAAAAAAAAALQiFMoAAAA0o4sXL86bN0+JV6xYERsbm52dvWLFitLSUtdm1dXVNR4oy/KuXbuSk5Orqqpcb8/Pz8/Pz9+9e7der3/sscd++ctfSpLU8NELCgpeeOGFgoICtY3NZktPT09PT1+zZs3ixYsnTJhQ75OSZXnPnj3vvPNOZWWl6+1FRUVFRUWHDh1at27d8OHDH3vssa5du9bbm0dS8iy9Xm8ymSoqKpRNi8VSo1CmpKTk1VdfzczMdL3RZrNlZGRkZGRs2LChV69ev//975tc25GWlrZ+/XolfvPNN6Oioup9iMPheOCBB5SzJSYm5k9/+pPrvc13Jrh/lgohysrK/vKXv2RkZNS4PS8vLy8v7+uvvxZCDBgw4JFHHunbt++1D7darTNnzlTihQsXTpw48do2Fovl888/37ZtW42Xns1my87Ozs7O3rlzpyRJ8+fPj4+P184WAAAAAAAAANCqsfQSAABAM5Jl2fFvQoiMjIxnn322xlf116qoqPjNb36zdu3aGvUHrhwOx9q1a1euXKn03JDRz5w5M3fuXNfaiBqNX3vttbS0NO3cLBbL4sWLk5KSalTJ1JCRkfHYY49pd+WplFpYZmbmQw89VKNKpoazZ88+8sgjBw8ebNoQN910k3rgPv7444Y85LvvvquoqFAect9999W4tznOBE+dpSUlJY8++ui1VTI1nDhxYvHixXWddeqzczqdtTZYsmRJcnKy9ktPluXVq1cvX768rk4AAAAAAAAAAG0AM8oAAAC0kMOHD2/fvl0I0adPn4ceeqhPnz6BgYGyLF+6dMm1oqKqqmrRokUXL15UNjt37vzggw8OGTIkJCREkqSqqqrs7Oy33347JydHCJGRkbFq1aolS5bUO3pWVlZqaqosyzExMbNnz+7Vq5cyemFhYWpq6u7du5Vma9euHT16dK0rDQkhKisrFy5cWFhYqGwajcZf/epX48aNCw8PNxgMsiyXlZXl5uZ+/vnne/fubZmUmoPD4VCnkxFCBAUFqfG5c+eef/55dTMuLm727NnR0dF+fn52u/3ChQubN28+dOiQcu8rr7yycuXKuLi4xiZgMpluueWWr776Sgixe/fuhx9+2Gg0aj9k8+bNShAQEKA9okd2uwfP0uXLl6t7e/To0QkJCd26dTOZTJIkOZ3O8vJyZVIZNTF3REdH33HHHQMGDAgPDw8MDBRCOByO4uLi9PT09957z2q1CiG+++67zZs3z5o1y/3hAAAAAAAAAAA+iBllAAAAWshHH30ky/Ldd9+9atWqIUOGKKUAOp2ua9eu9957r9rszTffVOsPJk+evH79+gkTJoSGhup0OkmSjEbjkCFD3njjjfj4eKXNgQMHtGc3UaSkpNjt9tmzZ7/yyiuDBw9WR4+IiFiwYMGjjz6qtvzwww/r6mTVqlVqlUxcXNzf/va3adOmde3a1c/PT+nNbDbHxsY+88wzGzdunDRpUguk1Bzy8vJcN81msxI4HI7ly5ert8+ZM2flypV9+/b19/eXJMnPz69nz57PP//8E088obZ5+eWXbTZbE3JISEhQ4wMHDmg3LigoOHv2rPpAvV6v0dgju91TZ+mFCxfOnDmjxPfff//vfve7/v37d+jQQelHr9ebzebBgwcvWLBgy5YtDzzwgPZ+0DBs2LA1a9YkJSXFx8dHRUUpz1qSJIPB0Llz5ylTpmzcuHHAgAFK49TU1OLi4iaPBQAAAAAAAADwZRTKAAAANEJCQsI9mrTXG4qLi5szZ44kSXU1OHPmzP79+5V45MiRc+fOrbXoQafTLViwoGfPnsrm66+/LstyvclPnDhx2rRptY4+derUzp07K/Hu3btr7S0rKys9PV2J+/Tps2zZMpPJVNdYZrP58ccfb+6Umok6O4sQYtSoUWp6X375ZVFRkRLffvvt99xzT60Pj4+PVxc/slqtTavyiY6O7tatmxKnpKRoP/2dO3eq8W233VZv527udg+epadPn1Zj13KxawUGBk6fPl2ZBqYJEhMTu3fvrtEgICDgxRdfDAgIUDZ37drVtIEAAAAAAAAAAD6OpZcAAAAawel0ajdwOBwa986bN0+jSkYI8f7776vxokWLNBpLkrRw4cLFixcLIS5fvnz+/PmoqCjt3B5++GGN3hISEtatWyeEsFqtV65cCQ8Pr9HGtXxkyZIl2tOWNJCbKTWH3bt3q2snif+u3vjggw/UeM6cORqdTJ8+ffv27Xa7XQjx4YcfTp8+XadrdIX6r3/961deeUUIcfny5Z9++qlXr161NrPZbJ988okSx8TEdOrUqd6e3dztHjxL1cIjo9Ho5+dXb+bNymQyJSQkpKSkCCF27do1c+bMhjwqNzd34cKF9fYshKisrGSiGg3KX1ebzcZeaj9c/6U6nU4Offuh1E3KssxBbz9qFMuWlpZqvyVG21NWVtYeDnq9V4tNYLfba73ustvtfLSPZiI73fqZSkv+yuVa9upq/4D6m5WVlemc9SxwjIZw/btnt9t5d9d+KK90ruPalRp/3q9evdoe3t3BVUlJibdTEBUVFUrgkTfevJsGAABoIREREeocIbWqrKzMyMhQ4ptuuik4OFi7wz59+gQGBlZWVgohvvnmG+1CmaFDh2p3qK47I4S4tjyirKzs2LFjalddu3bVzq0h3EzJs2w22/nz51NSUlyrZMaOHRsTE6PEhYWFly9fVuKJEydqzKYjhPD397/zzjs/+ugjpedz587VVeaiYeTIkXq9Xim9+uijj5599tlamx06dEi9MJgxY0a93bq52z17lqoPt1qtFoslKCio3vyb1dChQ5VCmeLiYqvVajTW/8mp3W6/cOGCdpvevXsLIWRZ1i6kg2AvtW8c+naIg95uNUcxAXxcOznoLVkf0OSxZOHNIga0Cm6fIt48xxp4hjudTpn3Ic2Ad3ftDZfw7Vk7eXcHV77wevdsDhTKAAAANML27dubPJPK+PHjtRucO3eu4Y2FEJIkxcbGKsshnTx5UrvxiBEjtBuYzWY1vnr1qkZuDVncpyHcTMkdCQkJrj96qPUddr9+/Z5++ml1Mzc3V43HjRtX7xA33nijUigjhDhz5kwTCmX8/Pzuueeebdu2CSH27ds3f/78Wqtz1PldAgIC4uLi6u3Wg2eC+2dp37591fjPf/7z7373O+0KpObm+txLSkoaUigDAAAAAAAAAGhdKJQBAABoBHemlKx3aaTz58+rcY8ePRrYp1KCcOrUKe2W9c4B4+/vr8Y2m63Gva5lIj179mxIbvVyMyV3aP/owWAwPPLII7/85S9d10tynTUkMjKy3iFcn11OTk6T0hSTJ09WCmWEEHv37p08eXKNBnl5eWpiCQkJDanicnO3e/Ys7dmzZ7du3ZSncOTIkRkzZowbN27SpEm9e/dujooZWZbz8vKysrKOHTt24cKFgoKCqqoq1wauJ0ZpaWmXLl08ngMAAAAAAAAAwLsolAEAAGghYWFh2g3y8vLU+Mknn1SqNJQptWVZVgOhzBIsy8JlKpSysjJZljXqeAICGrBMd93y8/PV2HXWDXe4mZJnBQUF9ezZs0+fPiNHjoyJifHz86vR4Oeff1bjkJCQhnSoxvUuzVOXTp06xcbGZmZmCiFSUlImTZpU4xD//e9/V+P4+PiG9OnmbvfsWSpJ0vLlyxcuXKiszSSEOHDgwIEDB4QQ4eHhI0eOHDFixIABAzyyJNO33367bt26S5cuNbB9A2uzQkJC7rvvPu02yrJlBoOBKWo0VFdXOxwOvV5/7asPbZXdbrfb7UosSZJP/VNAs3I6ncrfWP4qth/qQVf4+/u7liOjbbNaraLdHHR3flZRF51U+37TN3V/SsLzSaKNcftE9uY5ptM1aA5gf39/vcz7EA9QruOUWKfTuf7wBm2bw+Gorq7mOq5dUQ66uhkQENAc73zgg2RZVn5q6AsH3bNrflEoAwAA0EIMhnreeqm1AuLfHyj7DtfvNtrA19hNWELL9VKw3kMphHD9JqDGtCWNMmPGDKVQpqSk5NSpUzExMepdVqv1H//4hxIPGDAgPDy8yaM0nMfP0oiIiL/+9a/Jycnqc1EUFRWlpaWlpaUJIYYPH/7QQw81cAKbWq1fv/7TTz91N9fadOrU6bnnntNuM3fuXCGEv79/hw4dmiOHtqG8vNzhcBgMBvZS+2GxWFwLZTj07YfNZrPZbBz0dqW6utr1zaTJZGrIuym0Dco7xsDAwDZwEVGv5igG0ul1cu23N3FFYKBebn4H5t2v0Bp4pR8YGOiv432IB5SVlbkWyvDurv2wWq3V1dUc9HalqqrK9dPRoKCg9lAGDSGE0+lUPtz2hYOuvs3wSCZclAIAAPgKX/7CwPVXQdXV1a39J+BN+OTO9ZN99WMgDa7l7e78vGbw4MHBwcFlZWVCiG3bti1dulS9S5l5RTFjxowmD9EozXGWmkymJ554IjEx8Ycffjh48GB6enqN0qKMjIyMjIyEhIQHH3ywCcdu7969apWMTqebOnXq6NGjIyMjg4KCDAaDJElqn/n5+fPmzXP/GQEAAAAAAAAAfJbvfhkDAADQ3nTp0kWNU1JSPLLcjKdERkaqcWlpaXBwsBeT8QrXo1NWVlbv0bFYLGrsuvcaS5KkmTNnrl+/XgiRnp5eWlqqLPwky/L777+vtAkICBgyZEiTh2iU5jtLTSbTmDFjxowZI8vy1atXz549u3///q+//lotS/roo4969OgxceLERnXrcDjWrVunxCEhIUlJSRqLoDWkBAoAAAAAAAAA0KoxJxIAAICvuP7669X48uXLXszkWq6r3uTk5HgxE2/p3r27Gufn59fb/uLFi2ocHR3tztCupSFffPGFEpw9e7awsFCJExISGruSVJO1wFkqSVJYWNiwYcOeeuqp1NTUxMRE9a7169c3diXa/Px8tWjpySef1KiSEf991AAAAAAAAAAAbRKFMgAAAL6iZ8+eanz48GHvJVIL19z27NnjvUS8xrVU6Jtvvqm3fXp6uhr37t3bnaFNJtMtt9yixFu3blUqRT788EO1QXx8vDv9N0oLn6UGg+Huu+9Wn2BFRcWVK1ca1cP58+fVOCYmRruxr73uAAAAAAAAAAAeR6EMAACArzCbzQMGDFDirVu32u127+bjKjg4WC0yyMjIaIcTb3Tu3LlTp05K/I9//MNqtWo0rq6u/vjjj5XY39+/V69ebo6ekJCgBBaL5dixYxaL5cCBA8otgwYNCg8Pd7P/hvPKWTpmzBg1Lisra9Rjq6qq1Fh73p2qqqrdu3c3NjcAAAAAAAAAQOtCoQwAAIAPmT17thJUVla+/fbb3k2mhlmzZqnxqlWrGrsCThswffp0JZBl+f3339douX37drU+46677tLp3H3XHR0dHRkZqcQffPDBV199dW1WLablz1LXWWQ6dOjQqMeq5U1CiNzcXI2WycnJPlWdBgAAAAAAAABoDhTKAAAA+JBBgwaNGzdOidPS0pKTkx0Oh/ZDCgsLN27caLFYmju32NjY4cOHK/HJkydfeukljVlVLBbLu+++29wptbBbb701LCxMiXfs2FHX7CP79u3btGmTEgcEBNx3330eGf3Xv/61EmRmZqr71mg0xsbGeqT/hvPgWbp169bMzEzth1dWVm7cuFGJjUaja+FLQ0RHR6vxW2+9VWspjCzLW7ZsSUtLa1TPAAAAAAAAAIDWyODtBAAAAPBfFi1a9OOPP/78889CiB07duzZs+eBBx4YNmxYx44d/f39hRBOp7OysrKwsPDEiRO7du06e/asEOLuu+9ugdyeffbZxx9/vLi4WAiRkZExZ86c+++/f/To0WFhYXq9XpblioqK8+fP79mzRykiefjhh1sgqxaj1+v/8Ic/PPPMM8rm6tWrMzIyfv3rX3fr1s1gMDgcjp9//nnLli1ff/21+pDf/va3RqPRI6OPGjVKr9crNSVqZUlCQoL2ckLNxFNn6Y8//rhp0yZ/f//4+PhRo0ZFRUUFBwf7+fkJIRwOR2lp6ZEjR959992SkhKl/bx58yRJalSqwcHBY8eOPXjwoBAiLy9vwYIF8+fP79+/v3JcKioqTp8+/d577505c0YIMW3atG3btrm5cwAAAAA0RGhwt9l3bfB2FgAAAGiPKJQBAADwLQEBAW+88cbKlSszMzOFEOXl5evWrfN2Uv9iMpneeuut3/72t3l5eUIIi8Xy9ttv+9oSUc2qT58+y5cvX758ubLy1KFDhw4dOlRX42eeeWbYsGGeGtrPz++ee+6pUcYRHx/vqf4bxbNnqc1m+/TTTz/99FPtZrfffvstt9zShP4XLlx45MiR8vJyIcTPP//8hz/8odZmCxYsiIuLo1AGAAAAAAAAANo2ll4CAADwOUaj8aWXXlq6dKnZbNZuKUlSfHx8UlJScHBwy+QWHByclJSUmJhoMGiVXMfFxa1Zs6ZlUmphQ4cO/etf/xoTE6PRpkePHuvXr7/55ps9O/TkyZNdNwcNGtSxY0fPDtFwLXmWBgcH/+Y3v5k/f35jp5NRmEymtWvX9uvXr64GRqNx2bJlt99+e9PSAwAAAAAAAAC0IswoAwAA4IskSRo5cuSGDRtyc3O//fbb06dPZ2dnX716VQgRERERFRXVu3fvIUOG9OvXT1mnpiXpdLq77777jjvuOHLkyA8//HD8+PGcnBybzdaxY8fevXvHxcWNGjUqIiKihbNqSWFhYa+++uqlS5cOHDhw/PjxEydOlJeXm0ym/v37Dxw4cMyYMd27d2+OcTt16hQTE3Py5Ellc8aMGc0xSsO5f5YuWbLk8uXLubm5586d++mnn37++efLly9XVlY6nU6z2dyjR4+BAwcOHTq0X79+Op1bJf5ms/l///d/T58+vXfv3qysLGVKpIiIiIEDB44ePXro0KEt/zoCAAAAAAAAAHiFJMuyt3MAAAAAUD9ZlmfNmlVaWiqEMBqNKSkper3e20mhfnPnzj18+PD8+fMTExO9nYvvKi8vt1qtAQEBLTY/FrzOYrFUVlYqsU6n8+IUWWhhNputtLRUkqTw8HBv54IWUl1dXVJSom6GhoZqz02ItqSwsFAIYTab20Nd8rkP91WXVXq2z9AIo5/kuPZ2U1SgX4izCR06Zemz0uvdzkvLfaN6V/37X/yDs554+KGnmnU4eJzOIEn9m/LAyspKh8MRbAy4LsRrr3ezvzDqq+ttFqCP0kmmFsinzSsrK6uqqlJig8EQGhrq3XzQYqxWa3l5uV6vDwsL83YuaCFVVVVlZWXqZseOHd38VRtaC6fTeeXKFeEbB91isdx0001CiK1bt/bq1cvN3rgoBQAAAFqHU6dOKVUyQoh7772XKhkAAADAd/S8d4K3U6ifXog7mnsIl/VSo6JDx0/s3cwDwleUlpbabLbAwMCgoCBv5wIAAFAPSr0AAACA1uGTTz5R49tuu82LmQAAAAAAAAAA0EoxowwAAIA3Wa3WmTNnKvHChQsnTpzY9kaER5SUlOzfv1+J4+LifHyNkosXL86bN0+JV6xYERsb62aH9Z63nNgAAACALb/Alnuhrnt1XYP0UVrLzZwrMhaWuTtvpVP+T3ypoPzI4TrzcZM+UicC5PrbQVNYgNBLWg0CJdksqkS1Q66oZ2UxfUWFn92u8/eXy4yutztLbcLusDuky3n/Ol4RYwf7m5l1BgAAeBOFMgAAoBnNnDnTarVee7skSQEBAUFBQdddd11kZGT37t379OkTHR1tMrXHJaIdjn8tOe90NmWN+VYxYutV1zkshNDr9UFBQT169IiOjr7hhhsGDBgQGBjYfJm8//77avzQQw8130AeIcuyepp5Sr3nLSc2AAAA2rnSrw5eWr+xrntDF98mRWh9I7ApPe6zYxVu5mBz/OfdePqBXOvlL93ssC49H+lYYC5pps7bj1u7BUuiVKNBT2PYsOrjcnmQyP5Wuyv1erhG+VJ1tsNx4YIcFvn5yn9VTd2Z8X/hN/RtYsYAAACeQKEMAABoRg6Ho64vy+12u8ViuXTp0pEjR9Qbe/Xqdd99940aNcpg4F0KfILGOexwOGw2W3Fx8ZEjRz7++GMhREJCwowZM4xGY63tm6yioiItLS0tLU3ZHDRoUO/evT07BAAAAAAAAAAA7QRfQQEAAB9y9uzZV155xWQyPfHEE2PHjpUkzfl/AR/z0UcfffHFF0lJSaGhoe739pe//OWrr76qcaNOp3v22Wfd7xwAAAAAAAAAgPaJQhkAANBCtm/frtf/Z7FzWZadTqfFYikuLj59+vSuXbuys7OVuyoqKl599dWRI0c+99xzfn5+XsoXqOnac7i6urqgoOCzzz777LPPlBtLSkqef/75N99807Wlp0iStHLlyvDwcI/3DAAAAAAAAABAO0GhDAAAaCE1poeRJEmv14eEhISEhERHR996661Xr17961//qk6hkZ6evnTp0j/+8Y/NUXDgO4xGo7JqTxsesc249hz29/fv0aPHvHnzJk6cqE70kpeXd+DAgZtuuslT4+p0uqioqDFjxkyePNlsNnuq2zaGExsAAABoXUrKLnyyd2n8mN9FhPfzdi4AAABoXyiUAQAAviI0NPTpp5+eMGHC8uXLlVtOnDiRnJz86KOPejcxoF79+vWbNWvWxo0blc0PPvjA/UKZp59++umnn3Y7NQAAAADwRbIQTqdDCNnbiQAAAKDd0Xk7AQAAgP8ybNiwpUuXqpuffPJJXl6eF/MBGui2225T4wsXLthsNi8mAwAAAAAAAAAAasWMMgAAwOeMHDly1KhRhw4dUjbffffdZcuW1fuoy5cvHzx48MSJEydPnrRYLEajsV+/fgMHDhwzZkxkZGQT0nA4HN9///2+fftOnDhRVFRkNpsHDhx42223xcXF1ViCRwhx5cqVr7/+Oj09PScnp7q6+vrrrx8xYkR8fHzzLZQjy3JWVta+ffuOHj1aVFQUGBjYv3//ESNGjB8/3mQyeXYsp9N56tSpH3744eTJkz/++KPVag0ODu7Tp88vfvGLUaNGderUqd5Uc3Nzjx49evz48R9//PHKlSsGg6F79+59+/YdNmzYkCFD/P39m5BVS+6BhjCbzZIkyfK/fg159erViIgI7Yc4HI5jx459//33x48fz83Ntdvt4eHhsbGxv/jFL0aMGNGE3VJdXZ2enn7w4MFTp04VFxeHhobGxcWNGjVqxIgRvrCEma+l5+aJDQAAAAAAAABojSiUAQAAvujRRx9VC2W+++67srKy4ODguhqXlJS8+uqrmZmZrjfabLaMjIyMjIwNGzb06tXr97//vUbVwsWLF+fNm6fEK1asiI2NPXv27AsvvFBaWqq2KSoq2r9///79+6Ojo//4xz+q+TgcjnfeeWfnzp2uHZ48efLkyZMbN25cuHCh60Qj17JarTNnzlTihQsXTpw4sSHpFRQUvPDCCwUFBa7PNz09PT09fc2aNYsXL54wYYI7I6pkWd6zZ88777xTWVnpentRUVFRUdGhQ4fWrVs3fPjwxx57rGvXrtc+3GKxfP7559u2bXPdk0q22dnZ2dnZO3fulCRp/vz58fHx15YfNdMeaCaSJHXo0KGsrEzZrKqq0mgsy/KuXbuSk5NrNMvPz8/Pz9+9e7der3/sscd++ctf1rVbrt0nmZmZL730kuuRKiws/OKLL7744ougoKDnn39+8ODBGint37////2//6fEmzdv1i42yszMfOGFF5R4/fr1nTt31misPsSd9OrVkic2AAAAAAAAAKD1YuklAADgiyIiIrp06aJuHj16tK6WmZmZDz30UI0qmRrOnj37yCOPHDx4sK4Gsiw7/k3p86mnnqpR26HKyclZtGiRsrCO3W5/7rnnalTJuEpKSvr88881chNCqEM7nc6GpHfmW/U2lgAAIABJREFUzJm5c+e61ojUaPzaa6+lpaW5M6LCYrEsXrw4KSmpRjFBDRkZGY899litdy1ZsiQ5ObmuPakmvHr16uXLl2sk4/E90BxkWS4vL1c3AwIC6mpZUVHxm9/8Zu3atRrFNA6HY+3atStXrlSecq3Due6T9PT0559/vq4jZbFYfv/733/22Wfa+bt2WC+1sTqJjgb302tUSs19YgMAAAAAAAAAWi9mlAEAAD5q0qRJf/vb35T48OHDY8eOvbbNuXPnnn/+eXUzLi5u9uzZ0dHRfn5+drv9woULmzdvVmemeeWVV1auXBkXF6c97g8//PDhhx8KIYYPH/7AAw9ERUX5+flVV1efPXv29ddfz8/PF0IUFha+++67jz/++KpVq7KzswMCAhITE2+88UZl8Z3S0tJdu3Zt3rxZ6TApKWn06NEdOnRwd48IIYTIyspKTU2VZTkmJmb27Nm9evUKDAyUZbmwsDA1NXX37t1Ks7Vr144ePTo0NLTJA1VWVi5cuLCwsFDZNBqNv/rVr8aNGxceHm4wGGRZLisry83N/fzzz/fu3avdVXR09B133DFgwIDw8PDAwEAhhMPhKC4uTk9Pf++996xWqxDiu+++27x586xZs3xnDzRWaWmpa8lIXatuVVVVLVq06OLFi8pm586dH3zwwSFDhoSEhEiSVFVVlZ2d/fbbb+fk5AghMjIyVq1atWTJEu2hDx8+/NFHHwkhunfvPnfu3H79+hmNRqfTWVBQ8OGHH+7Zs0dp9n//93/XXXfd0KFD3X+yjeJT6XnwxAYAAAAAAAAAtEbMKAMAAHxU37591fjEiRPXNnA4HMuXL1c358yZs3Llyr59+/r7+0uS5Ofn17Nnz+eff/6JJ55Q27z88svKTDAaUlNTnU7nvHnzXnjhhd69eyu9+fv7x8TEvPnmm+r6TWlpaSkpKQcPHoyMjExOTp40aVJYWJhOp5MkyWw2T58+ffHixWqfn3zySdN2wrVSUlLsdvvs2bNfeeWVwYMHm0wmSZJ0Ol1ERMSCBQseffRRtaVS7tNkq1atUosJ4uLi/va3v02bNq1r165+fn7KiGazOTY29plnntm4ceOkSZNq7WTYsGFr1qxJSkqKj4+PiopSspUkyWAwdO7cecqUKRs3bhwwYIDSODU1tbi42Hf2QGO5Th3Ur1+/umaUefPNN9UqmcmTJ69fv37ChAmhoaHKyWM0GocMGfLGG2/Ex8crbQ4cOKA9YZIQQilDGT9+fFJSUlxcXGBgoCRJer2+W7duTz75pLpGkhDiT3/6U3V1tTtPswl8Kj2PnNgAAAAAAAAAgNaLGWUAAICP6ty5sxpfuHBBlmVJklwbfPnll0VFRUp8++2333PPPbX2Ex8ff/HixdTUVCGE1Wr98MMPZ86cqT30pEmTJk+efO3t/v7+8+fPX7ZsmbKZkpIihPjTn/4UHBx8beMJEyZs2rRJKYn47LPP6h204SZOnDht2rRa75o6deqOHTsuX74shNi9e3diYmKNndZAWVlZ6enpStynT59ly5bp9fq6GpvN5scff7zWuxITE7UHCggIePHFFx988EFlEaJdu3Y1ZEe1wB5orLNnz27YsEHdfPDBB2ttdubMmf379yvxyJEj586dW2t6Op1uwYIF2dnZ586dE0K8/vrr77zzjvYT6d69++LFi3W6Wurghw8f/thjj61fv14IYbVaP/vss7vuuquhT8xDfCQ9T53YroqLi5U/LxqUaZOqq6srKioak2/7YrfbhRAOh4O91H64FsbJssyhbz/UNf446O1HjVURrVZrre8K0IZVVVW1fLl2+6S9nx0Oh0HzGwHtNUx9jdyqsvVZTtmp17xoVs4Kp9PR5D/cytSrsvyf42W1Wnkb0Da4rt3sdDo5rO2HcgnPdVy7UmOt9srKypb50BVep86h7gsHvbKyUgk88q6VQhkAAOCjQkJCXDftdrufn5/rLR988IEaz5kzR6Or6dOnb9++XbmE+/DDD6dPn6790XxdVQ5CiMGDB7tuJiQkhIWF1dpSkqQpU6YkJycLIUpKSsrKymqtp2mChx9+uK67JElKSEhYt26dEMJqtV65ciU8PLwJQ6jrRgkhlixZolFM4D6TyZSQkKBUHTWwUKYF9kAD2e32S5cu7dq1a8eOHeqNt9xyS2xsbK3t33//fTVetGiRxqWFJEkLFy5U5iW6fPny+fPno6KiNDJZsGCBxlk9adKkTZs2KR9ebNmy5c4772zhqxofSa85Tuzi4mKlykdD7969BYUyDWO325W/1Whv+IC1HeKgt2dKCSnaFQ56i9GeQrXebxScTod2A5/idFn6Fk0mO2WheWHk+FehjOxGoYzzXwP9G4UybRKFMu0QB709U+sV0H74wkH37N8cCmUAAICPMhj+642Kw+FwLZQpLCxUZg0RQkycONFkMml05e/vf+eddyrrv9hstnPnzvXq1auuxsOHD9fozd/fv0uXLurSOf/zP/+jMW6/fv3U+OrVqx4plBk6dKh2P+pKRkKIppWJlJWVHTt2TB2ua9euje2hsYYOHaoUyhQXF1utVqPRqN24ufdAXRISElwLOGr8kEIxbdq0WbNm1frwysrKjIwMJb7pppvqPR/69OkTGBioXIF88803GoUyRqNx4MCBGl3p9fqEhIRNmzYJIcrLywsKCq677jrt0T3IR9Jr+RMbAAAAAAAAAOCDmOYUAAD4KFnzx2G5ublqPG7cuHp7u/HGG9X4zJkzGi2HDRum3VVkZKQaa3+dbzab1fjq1av1pNgwI0aM0G7g/qDKcj+K2267rQk9NJZrziUlJdqNW2AP1MXpdDpc1Lh33LhxycnJs2fPrms2FNcdO378+HqHkyRJnZnm5MmTGi3HjRtX7xQsN9xwgxqfPXu23tE9yEfSa/kTGwAAAAAAAADgg5hRBgAA+KgahQg1Jpi5cOGCGrtWrtTFdfaInJwcjZZdunTR7kqdbyYgIKBGVjUEBASosfZS8Q1X7zQY/v7+aqw97XZdXIuQevbs2YQeapBlOS8vLysr69ixYxcuXCgoKKiqqnJt4DoBeGlpqfYhaIE90DTffPPNLbfc0qlTp7oanD9/Xo179OjRkD6joqLS09OFEKdOndJo1rdv33q7ct2rrpm0AB9Jz+MntkKn02nPaOXK6+v4+jK1OJK91H7UqIjl0LcrytHnoLcrri95Dn27wuu9hWnvaklwIOATJEniz0Kbwb/4dot/8e0Qr/d2y3de757NgUIZAADgo0pLS1039fr/WjT7559/VuOQkJB6ewsKClJj1yKba7lWt9RKp/vXnHzaKwQ1k3rTc19+fr4au87O0jTffvvtunXrLl261MD29Za2tMAeqMv27dtdz0OHw3HlypUDBw689957ymQzK1eunDt37pQpU2p9eF5enho/+eSTyomkXGbIsqwGQgin06kEarlYWVmZLMt1XQl07ty53uQDAwPV2PXl0wJ8JD3Pntiqnj177tu3T7vN3LlzhRAmk8mDC4G1PeXl5VarNSAgwCOr1KFVsFgs6vrWOp2uY8eO3s0HLcZms5WWlkqSxF/F9qO6utp11kCz2axdbo62pLCwUAgREhLiupAumo9sMpXXfa/Br56XnsHgJ4RnfuPRAmp8SoCmqXc3+hkMorrmj5caRafTOYTQuQxkNpt5G9A2lJWVqT+FMhgMoaGh3s0HLcZqtZaXl+v1+rCwMG/nghZSVVVVVlamboaFhakfkqNtczqdV65cEb5x0NVvZDySCRelAADAR12+fFmNu3XrVqNEwHWCloZ8XuP6zqnGdCZN5vX3hc3EtVTFzY+z169f/+mnn7qdka+ocRLq9frOnTvfc88948aNW7BggdVqFUKsW7euX79+tc6hon4fLIRQGnuK6yQ6dXH99NNTL4EG8pH0PHhiAwAAAAAAAABaLwplAACAjzp9+rQaDxo0qMa9rt9z11ikqVaui/t4cUqSVsG1rKG6urrJE+fs3btXrZLR6XRTp04dPXp0ZGRkUFCQwWBwnWk5Pz9/3rx5bqbtRZ07d16+fPlzzz2nbP7xj3985513rv1ZXvP9crohK0y5vgQaUrniQT6SnqdObAAAAAAAAABAq0ahDAAA8FFpaWlqfMMNN9S4t0uXLmpcVlbmurJSrSwWixpHRkZ6IsE2y3X/lJaWNm0ZFIfDsW7dOiUOCQlJSkrSmIu1IaVOPm7AgAG33nrrnj17hBBFRUXbt2+fNm1ajTauJ21KSkq9J23DKRPaa6uoqFDj6667Trux65LDtWrUIfN4ek3jkRMbAAAAAAAAANDatc31AgAAQGt36dKlixcvqptDhgyp0aB79+5qnJ+fX2+Hrr1FR0e7nWBb1qNHDzXOyclpWif5+flqcdKTTz6pvWKx69FpvebMmaPGmzZtcl1oSXH99dersevKYu47c+ZMvW1cR3R9+ahcp8Cptw6mIbUvKo+k5z6PnNgAAAAAAAAAgNaOQhkAAOCL3n33XTUePnx4hw4dajRw/c77m2++qbfD9PR0Ne7du7fbCbZlPXv2VGNlipQmOH/+vBrHxMRoNz58+HDTRvEpwcHBCQkJSux0Oj/++OMaDVx3rGef8v79++udA+a7775TY9eSHVVISIgal5WVafeWlZXVwum5zyMnNgAAAAAAAACgtaNQBgAA+JzDhw+71r4kJiZe26Zz586dOnVS4n/84x9Wq1Wjw+rqarVqwd/fv1evXp5Ltg0KDg5WS1syMjKaNt1LVVWVGrtOVVJry927dzdhCB907733qnFKSkqN09JsNg8YMECJt27darfbPTVuZWXlqVOnNBo4HI6PPvpIiYOCgmpdfUx9QQkhfvrpJ43ebDbb3r17Wzg993nkxAYAAAAAAAAAtHYUygAAAN9y9OjRFStWqJt33nlnXeuwTJ8+XQlkWX7//fc1+ty+fbtat3HXXXfpdLwFqsesWbPUeNWqVU6ns7E9uFZd5ObmarRMTk72YMmIdwUHB0+ZMkWJnU7nzp07azSYPXu2ElRWVr799tseHHr16tUah2nPnj3l5eVKfN9990mSdG2biIgI9fZrp8NxtWXLlsaeEu6n5xHun9gAAAAAAAAAgNaOb4kAAICvKCsrW7169dKlS9VVWgYNGlTrdDKKW2+9NSwsTIl37NhR16wk+/bt27RpkxIHBATcd999Hs26bYqNjR0+fLgSnzx58qWXXtKYs8disbgulaWIjo5W47feeqvWUhhZlrds2ZKWluaJlH2FWr8lhNi0aZPrzDpCiEGDBo0bN06J09LSkpOTHQ6HdoeFhYUbN260WCzazXJycpKSkmqt/Dhy5Mjq1auVOCAgYOrUqbX2oNfr1dxOnjx56NChWpt9+eWXqamp2sk0R3oe4f6JDQAAAMBTQoO7zb5rQ0R4f28nAgAAgHaHQhkAAOA1sixbLJYLFy7s27fv+eeff+CBB1yLXYYPH75ixQqN2V/0ev0f/vAHdXP16tUvv/xyTk6OUpPhcDjOnz+/atWq1157TW3z29/+1mg0Ns+zaWueffZZtQ4pIyNjzpw5n3zySWFhoVLYoRy7U6dOrV69eubMmX//+99rPDw4OHjs2LFKnJeXt2DBgiNHjqhFCRUVFUeOHFm8ePHmzZuFENOmTWuhZ9X8QkNDb731ViV2OBy7du2q0WDRokXXXXedEu/YsWPWrFk7d+4sKCiw2WzKjU6n02Kx5OTk7Nq166mnnkpMTExNTdWe++SOO+4QQnzxxRfPPPPMsWPHlK6cTuelS5fWr1/v+jJZsmSJv79/Xf24Trjy8ssvp6SkXL16VSlcq6qqOn369LJly15//XW9Xt+ogjNPpecRbp7YAAAAAAAAAIDWzuDtBAAAQHuRkJCgrqgiy7LGF/8mk2nBggXjxo2rdwWWPn36LF++fPny5Upvhw4dqmsaDCHEM888M2zYsCbl3h6ZTKa33nrrt7/9bV5enhDCYrG8/fbbjVotaOHChUeOHFGW1Pn5559d6yFcLViwIC4ubtu2bR5J2xfcf//9e/bsUeKNGzdOmjTJtfgjICDgjTfeWLlyZWZmphCivLx83bp1bo544403Dhgw4NVXXz179uzvfve7upo9/PDDI0aM0Oina9euM2fOTElJUTZTUlLU2NWf//xnm83W8HllPJWeR7h/YgMAAAAAAAAAWjVmlAEAAC3E6XQ6/q2uKpmePXsuWbJk48aN48ePr7dKRjF06NC//vWvMTExGm169Oixfv36m2++uQlpt2fBwcFJSUmJiYkGg1Z1dVxc3Jo1a6693WQyrV27tl+/fnU90Gg0Llu27Pbbb/dArr6kU6dOEyZMUGKbzfb555/XaGA0Gl966aWlS5eazWbtriRJio+PT0pKCg4O1m45bty4ZcuW1TUdS2Bg4MqVK++66656k58xY8a8efPqurdTp06rV6/u37/RU6N7Kj2PcPPEBgAAAAAAAAC0aswoAwAAvMNoNAYFBUVGRkZGRnbr1q1v377XX3+9yWRqQldhYWGvvvrqpUuXDhw4cPz48RMnTpSXl5tMpv79+w8cOHDMmDHdu3f3eP7thE6nu/vuu++4444jR4788MMPx48fz8nJsdlsHTt27N27d1xc3KhRoyIiIup6uNls/t///d/Tp0/v3bs3KytLmcMjIiJi4MCBo0ePHjp0qJ+fXws+m5Yza9asffv2KfF7770XHx9f45lKkjRy5MgNGzbk5uZ+++23p0+fzs7Ovnr1qhAiIiIiKiqqd+/eQ4YM6devX8N30Q033LB58+ZDhw4dPHjw5MmTV69eDQkJGTp06KhRo2688Ua9Xt+QTiRJmjx58vjx4/ft2/ftt9+eOnWqoqKiU6dOgwYNuvnmm+Pi4hrYTzOl5yluntgAAACAb/LrGhF0w5A67w3qpNMHaTz8+nDTiOgAN3M4KknqL2PCI4IGDunqZod1CQ8zhYawtrK7wgMCDDqtj2KCDQFC30Ny6kXnAdpd2e12WZZ1Ol2N6zudxSaCIuz+IddN/NdFll9wUz78AQAA8CBJlmVv5wAAAACgcQoKCh577DElfvnll2NjY72bDzTMnTv38OHD8+fPT0xM9HYuvqu8vNxqtQYEBNQ7fxLaDIvFUllZqcQ6na5jx47ezQctxmazlZaWSpIUHh7u7VzQQqqrq0tKStTN0NBQ7Xnd0JYUFhYKIcxmc1stkce1goKCKioqlHjp0qUrV670bj5oMaWlpTabLTAwMChIqx4LbUlZWVlVVZUSGwyG0NBQ7+aDFmO1WsvLy/V6fVhYmLdzQQupqqoqKytTNzt27KjTsXBNu+B0Oq9cuSJ846BbLJabbrpJCLF169ZevXq52RtnMAAAAAAAAAAAAAAAANoFfr0BAAAAtBGyLBcUFHz//fdZWVnnzp0rLCy02+1hYWHdu3cfOHDg0KFDe/fu3cKLHAEAAAAAAAAA4FMolAEAAABaPVmWv//++/Xr1+fn59e46/Lly5cvX/7+++83b94cGBh4//33T548manvAQAAgCZIX7z2zIZ/eLzb4fcNkvNyPN6tm/o80b3ihhsqOlQ07mGSQw13f3zqyrmtHk4LLchvTNTRansDG8uyrASSJDVbRh4zIc6vNOCCuukn6f4cmW/74mfHqeNCCP2gGwN+vcR72QEAgGZHoQwAAADQulmt1t///vfHjh2rt2VlZeW77767bdu2lStX9uzZs/lTAwAAANqU6vLKqqJSj3crW6scpWUe79ZNkr1Clh1O2drkHqptjvKyKg+mhBZmtNlLrNXezqJZ2BySpfo/J6dBpxPOStlaKVtKhRCiqpH1YQAAoLWhUAYAAABo3V577bXKykp1c+zYsVOnTu3Ro0eHDh2EEDabraCg4J///OcHH3zgcDiEECUlJU8++eTSpUtHjhzptaQBAAAAAAAAAPAGnbcTAAAAAOAWtUqmS5cu69evf+655wYNGhQcHCxJkiRJAQEB0dHR06dP/+CDD8aPH68+6qWXXsrMzPRSygAAAAAAAAAAeAeFMgAAAEBbEBMTs3r16q5du9bVICAg4Nlnn50+fbp6y4svvlhSUtIi2QEAAAAAAAAA4BMolAEAAABavZCQkBUrVvj7+2s3kyTp/vvvHz16tLJpt9v/8pe/NH92AAAAAFBTSdmFTZ/MuVSU7e1EAAAA0O5QKAMAAAC0PuHh4a5lMb/5zW+MRmNDHihJ0qJFiyRJUja/++67c+fONUeGAAAAAKBBFsLpdAghezsRAAAAtDsGbycAAAAAoNH++c9/2mw2JY6MjBwyZEjDH2syme69995t27Ypm1u2bHnuueca+FiHw/H999/v27fvxIkTRUVFZrN54MCBt912W1xcnFp8o7py5crXX3+dnp6ek5NTXV19/fXXjxgxIj4+3mw2N3A4WZZzc3OPHj16/PjxH3/88cqVKwaDoXv37n379h02bNiQIUPqnUSnrm6zsrL27dt39OjRoqKiwMDA/v37jxgxYvz48SaTqQkdAgAAAAAAAABaCwplAAAAgNbn73//uxo/8MAD1xapaJsyZYpaKHPw4EGbzXZtxcnFixfnzZunxCtWrIiNjT179uwLL7xQWlqqtikqKtq/f//+/fujo6P/+Mc/BgcHK7c7HI533nln586drh2ePHny5MmTGzduXLhw4W233aadocVi+fzzz7dt2+Y6nBDCZrNlZ2dnZ2fv3LlTkqT58+fHx8drPP1rn0VBQcELL7xQUFDg2md6enp6evqaNWsWL148YcIE7dwAAAAAAAAAAK0XSy8BAAAArUxVVVV2dra62ajpZBTh4eFhYWHq5tmzZ69tI8uy49+EEJmZmU899VSNshVVTk7OokWLlElu7Hb7c889V6NKxlVSUtLnn3+uneGSJUuSk5PrGk7NcPXq1cuXL3c6nRptXJ/FmTNn5s6d61olU6Pxa6+9lpaWpp0bAAAAAAAAAKD1YkYZAAAAoJXJz89XY7PZ3PCVjFzddNNNO3bsUOITJ07ExMRoNP7hhx8+/PBDIcTw4cMfeOCBqKgoPz+/6urqs2fPvv7660o+hYWF77777uOPP75q1ars7OyAgIDExMQbb7zRbDZLklRaWrpr167NmzcrHSYlJY0ePbpDhw7aSUZHR99xxx0DBgwIDw8PDAwUQjgcjuLi4vT09Pfee89qtQohvvvuu82bN8+aNavep5yVlZWamirLckxMzOzZs3v16hUYGCjLcmFhYWpq6u7du5Vma9euHT16dGhoaL0dAgAAAAAAAABaHWaUAQAAAFqZS5cuqXHfvn2b1knPnj3VODc3V7txamqq0+mcN2/eCy+80Lt3b39/f0mS/P39Y2Ji3nzzzYiICKVZWlpaSkrKwYMHIyMjk5OTJ02aFBYWptPpJEkym83Tp09fvHix2ucnn3yiMeKwYcPWrFmTlJQUHx8fFRVlMpkkSZIkyWAwdO7cecqUKRs3bhwwYICaXnFxcb1POSUlxW63z549+5VXXhk8eLDSp06ni4iIWLBgwaOPPqq2VKqCAAAAAAAAAABtDzPKAAAAAK3Mzz//rMY9evRoWidqdYsQ4qeffqq3/aRJkyZPnnzt7f7+/vPnz1+2bJmymZKSIoT405/+FBwcfG3jCRMmbNq06eLFi0KIzz77bObMmXUNl5iYqJ1PQEDAiy+++OCDD1ZVVQkhdu3apdGbauLEidOmTav1rqlTp+7YsePy5ctCiN27dycmJkqSVG+H1dXVrnVLtVJWfXI6nUqAWsmyLP69VJa3c0ELUQ66ikPffqjr5XHQ248aiyTyP7EdaksHvcb/Lw/22yzdukeW5eZ6vmgt2u7xr/XcVm/kwqSBXHcjO61dUd7dcdDblRpv6R0OB28S2gnXS3ivH3TP/s2hUAYAAABoZUpKStQ4PDy8aZ2EhISocUOmY3nwwQfrumvw4MGumwkJCWFhYbW2lCRpypQpycnJQoiSkpKysrJa62kayGQyJSQkKKU5DSyUefjhh+u6S5KkhISEdevWCSGsVuuVK1casm/z8vJ+9atfabfp3bu30mdD9nM7Z7PZbDabt7OAFzidTl4g7Y0syxz0dqu0tNTbKaCllZWVeTsFj1GqtD3O7rDXX6Pd4mRZtjvs3s4C3tSGvwK32+3C/z+byjd/DodDeSVWV1eX80alkZSFkr2dBVoU13HtmeuHk2gnfOGgV1RUKEGNyq2mYeklAAAAoJWprq5WY4OhibXver1ejev9uH/48OEmk6mue/39/bt06aJu/s///I9GV/369VPjq1ev1p+opqFDhypBcXGx1Wqtt7F2XY66lpMQ4sqVK27mBgAAAAAAAADwQRTKAAAAAK2Mn5+fGtvtTfyJp+tPAwMCArQbDxs2TLtBZGSkGl933XUaLc1msxq7Xyjj2lu9P2sYMWJEw3tzPzcAAAAAAAAAgA9i6SUAAACglXGdFqXJE5+4ToBf10pJKtcJY2qlzjcTEBCgPcmNa1GO69Q4tZJlOS8vLysr69ixYxcuXCgoKKgx+Y3rNJulpaXaeXbt2lV7OH///0y9zQJAAAAAAAAAANAmUSgDAAAAtDKuU7bk5eU1rZOLFy+qcXR0tHbjeqec0en+NVel0WhsWj7X+vbbb9etW3fp0qUGtq+3tKXeZ9EEXbp0ee2117TbbNiwQRk9JCTE4wm0GVar1Waz+fn5BQYGejsXtBDloCuxJEnaK6OhLbHb7RUVFRz0dsXhcFgsFnUzKCjIdQlItG2lpaWibR1019JqD9Lr9c76W7U0SZL0er5BaNd0ep2w++C56QE1fuAhSZJweSUaDIYALt8aoLKyUv0BjF6vDwoK8m4+aDHV1dWVlZU6na5Dhw7ezgUtRDno6mZwcLDylxNtnizLyu8tfeGgq9cUHsmEt7kAAABAK+M6b8rp06eb1klubq4a9+jRw92c/k2tmHHT+vXrP/2cFpnJAAAgAElEQVT0U4901ayCgoJuvvlm7TYpKSlCCL1e30xfq7QNSsGETqdjL7UfrnNKSZLEoW+HOOjtR4055Pz8/LTnn0PbYzAYXBcPbdU89Xa3Bklqlm7dJEmSzttfh8C7vP59WPOp9ampN3Jh0kCuc77ylr5dUeb35aC3K7Isu276+fk105si+Bp1Pm9fOOjqpSWFMgAAAEB7FBkZqcbFxcUlJSVms7mxnXz99ddqPGDAAM9k5iF79+5Vq2R0Ot3UqVNHjx4dGRkZFBRkMBgkSVKvhfLz8+fNm+e9TAEAAAAAAAAArQyFMgAAAEArYzQae/XqdfbsWWUzKytr7NixjeqhuLi4qKhI3ezVq5cn83OPw+FYt26dEoeEhCQlJYWFhWk0bqm8AAAAAAAAAABtAXMiAQAAAK3PXXfdpcabN2+uMf1pvT777DM1HjlypNFo9FhmbsvPz7dYLEr85JNPalTJCCEuXrzYIkkBAAAAAAAAANoICmUAAACA1mfs2LF6vV6Jz58/n5WV1fDHVlZWbt26Vd2cMWOGh5Nzz/nz59U4JiZGu/Hhw4ebOR0AAAAAAAAAQJtCoQwAAADQ+vj7+z/88MPq5muvvWaz2Rr42NWrV6sz0MTGxvbp08fz+bmhqqpKjdVioLpa7t69u/kzAgAAAAAAAAC0HRTKAAAAAK3SpEmToqKilLi4uHj58uXV1dX1Pio1NXXfvn1KrNPpnn322WZMsUk6deqkxrm5uRotk5OT7XZ782cEAAAAAAAAAGg7KJQBAAAAWiW9Xv/SSy8FBAQom5mZmU8++WRhYWFd7aurq994442NGzeqtyxdujQsLKzZE22k6OhoNX7rrbdqLYWRZXnLli1paWktmBcAAAAAAAAAoC2gUAYAAABorcLCwpKSkkwmk7J54cKFxMTEv/zlL9nZ2RUVFcqN1dXVFy5c2L59+8yZM7/44gv1sc8+++zw4cO9kHR9goODx44dq8R5eXkLFiw4cuSI1WpVbqmoqDhy5MjixYs3b94shJg2bZrXEgUAAADghtDgbrPv2hAR3t/biQAAAPx/9u48vqkqf/z/uUmbtIE2lEJBtiKbLVAqsiggMDJSpOAoBQYYFRVHYWAQP4I6MyADguPKx4VBvsDILAoVWtABsaAy7L/RUkBsQdZKWUqhG13SZmlyf39c504+XdK0TZq2eT3/4PG+95577jvnpiVp3jkHfifA1wkAAAAAqL+OHTtu2LBh+fLl586dU/bs27dv3759Lk5p3br18uXLe/fu3SgJ1sf8+fNPnjxZWloqhLh+/frLL79cbbN58+bFxsYmJyc3bnYAAAAAAAAAgGaMGWUAAACA5i0kJOStt95asmRJRESE65Y6nW7mzJl/+9vfmnKVjBDCYDCsXbu2T58+NTUICgpatmzZuHHjGjMrAAAAAAAAAEALwIwyAAAAQLMnSdLQoUOHDBmSnZ194sSJ9PT0S5cu3bx50263h4WFdenSpW/fvoMGDerdu7dWq/V1sm4xGo1vvfXW+fPn9+/fn5GRceXKFSFERERE3759hw0bNnDgwMDAQF/nCAAAAAAAAABofiRZln2dAwAAAAC0WLNnzz527NjcuXNnzZrl61yartLSUrPZrNfrQ0JCfJ0LGonJZCovL1dijUbTtm1b3+aDRmO1WouLiyVJCg8P93UuaCQ2m62oqEjdbNOmTUAAX97zF3l5eUIIo9HYYqqcrYUlFWUWj3cbEChpmt7k7wEGjSMwQA6oW2ahrSPKysqUeNHCl/7w+6VeSA2NxB6gcWgkNxuXlJTYbLagoCCDweDVrDxCq5W1AQ7nPW20DrncKuwOIYQI0EmtQn2TWbNSUlJisfz0KzEgIKBNmza+zQeNxmw2l5aWarXasLAwX+eCRmKxWEpKStTNtm3baprgaxd4gcPhKCgoEE3jpptMptGjRwshtm7d2qNHjwb2xptSAAAAAAAAAABqpwsL0YX5UV1vAz8MCQoODAtvBjUT8Igg2WK1iuBgXatWel/nUk9Sa19nAAAAGgulXgAAAAAAAAAAAAAAAPALzCgDAACAZmPGjBlms1mJt23b5vPJHr3H+ZEqNm7c6P58tosXLz59+rTznjfffLN3794eyw8AAAAAhBDWUvnsTucdkmxX42+zbq3ae77Rc3JL+1BNbI9bQog2F0r0Ry828tVDRgxtNTCmkS8KAAAAFYUyAAAAaDbsdrvdbq+9XfNX9ZEeOHDg4YcfdufcW7dupaeneycvAAAAAHBSYZYvfPV/9jgVymTklOanXWnslNwzoLPBEH5RCNEjryIoaWet7T0rsH07CmUAAAB8qMV+BxcAAABoSZKTk2VZdqfl/v37vZwLAAAAAAAAAADNFYUyAAAAQNOl0WgkSRJCFBcXZ2Zm1tpeluXk5GQl1ul03k0OAAAAAAAAAIDmhkIZAAAAoOkyGAxxcXFKvGvXrlrbX7x4sbi4WAih0Wji4+O9mxwAAAAAAAAAAM0NhTIAAABAk6bWu3z99ddWq9V1Y7WYZty4cR06dPBuZgAAAABQL+abWScWjyu9lOHrRAAAAOCPKJQBAAAAmrTu3buHhYUpcVpamouWFotl7969Sjx+/HivZwYAAAAA9SPLsr1CyLKv8wAAAIA/CvB1AgAAAIDnybJ8+fLl77///vTp0xcvXiwoKAgICOjSpUvv3r0HDRo0YMAAnU5X754zMjIOHjz4/fff5+fnBwcH33HHHUOGDBk5cqTBYPDso1BIkjRlypQNGzYIIZKTk4cPH15TS7WMJiwsLDIy8tSpU25ewnvD5RF2u/3UqVMnTpw4ffr05cuXKyoqwsPDY2Ji7rzzziFDhtQjt8a/iQAAAAAAAACAJoJCGQAAALQoJpPpq6++Sk5OLi4udt5vtVrPnTt37ty5Xbt2SZI0d+7cuLg4SZJcdHXjxo05c+Yo8SuvvBITE5OTk7N06dKcnBznblNTU1NTUz/44IOFCxeOGjXKGw9q1KhRSqHMhQsX8vPzw8PDq22WlJSkBFOnTnX90FQeGa6UlJT169cr8fvvv9+1a9dar2u32x955BGLxSKEiIqKeu2116ptJsvy7t27N27cqLRUZWdnZ2dn79mzR6vVPvPMMw888EBNuTWdmwgAAAAAAAAAaApYegkAAAAtyosvvrhx48ZKZR+VyLK8Zs2a5cuXOxwO183s/yGEuHDhwuzZs50LLCo1fvvtt1NSUhqSfE2MRmO/fv2UeN++fdW2ycvLy8zMVOKRI0e62bNHhmv06NHqQO3YscOd6x4/frysrEw5ZerUqdW2KSsre+GFF9auXVupSsaZ3W5fu3btihUrlHtUbfJN5CYCAAAAAAAAAJoCZpQBAABACxQZGfnggw9GR0eHh4cHBwcLIex2e2FhYWpq6t///nez2SyEOH78+KZNmx577DF3OszIyEhKSpJlOSoqaubMmT169AgODpZlOS8vLykpac+ePUqztWvXDhs2rE2bNh5/RFOmTFGWUtq+ffvkyZOrTqCyd+9eJYiJiTEajXXqvIHDZTAY7rvvPqWCZ8+ePU899VRQUJDrK27atEkJ9Hp9bGxs1QYWi2XBggU3btxQNtu3b//4448PGDAgNDRUkiSLxXLu3LkNGzZkZWUJIdLS0latWvXiiy+6vqjPbyIAAAAAAAAAwOeYUQYAAAAtyqBBgz744IPVq1fHxcV17drVYDBIkiRJUkBAQPv27SdMmPDRRx9FR0crjZOSkgoLC93pNjExsaKiYubMmW+88Ub//v2VbjUaTURExLx5855++mm15bZt27zxuGJjY7VarRCitLT0/PnzlY46HI5PP/1UiSdPnux+t54aroSEBDU+fPiw64vm5OSok98kJCQoj6uS999/X62SiY+PX79+/ahRo9q0aaPRaCRJCgoKGjBgwHvvvRcXF6deND093fV1fX4TAQAAAAAAAAA+R6EMAAAAWpRZs2Z16dLFRQO9Xv/HP/5Rr9crm7t373az5zFjxkyZMqXqVC5CiIkTJ7Zv316J9+zZI8tyXVJ2S0BAQHx8vBJ//vnnlY6ePXu2rKxMCKHVaqudoKUmnhquyMjIzp07K3FiYqLrEdi1a5cajx07tmqDCxcuHDp0SImHDh06e/bsaotpNBrNvHnzunfvrmy+++67tY68b28iAAAAAAAAAMDnWHoJAAAAfsdgMCQkJCQmJgohdu/ePWPGDHfOeuqpp2o6JElSQkLCunXrhBBms7mgoCA8PNxT2aoeeOCBnTt3CiH2798/d+5c5+WNduzYoQQTJkyotqakIdwcrkcfffSNN94QQuTm5v744489evSotpnValUehRAiKiqqXbt2Vdts3rxZjRcsWFBtXYtCkqT58+cvXLhQue7Vq1e7du3q4rF4/CZmZ2e//PLLrtsoa1eZzeaioqJaO/RbdrtdCGGz2Rgl/6HcdIUsy9x6/6FWInLT/Uel8tPS0lIX/7mjRTKZTNz0lkpjLmnl6xzqx253KEFFRUXjX71FvjtQXt1ZLBafDCl8wvklvd1ub3nPatTE4XAo/3LT/Ydy01XFxcW8uvM3JSUlvk5BKN8UFVWekPVDoQwAAAD80cCBA5XKj8LCQrPZ7Fx0UlP7kJAQFw3U9YmEEF4qlOnSpUv79u1zc3OFEEePHh05cqSyv6ys7MiRI0o8btw4j19XuDdcQ4cO1Wq1yp/Jtm/fvmjRomq7+vbbb9V3MtOnT6/aoLy8PC0tTYlHjx7tetiFEL169QoODi4vLxdC/Pvf/3ZRKOONm2g2m0+ePOm6Tc+ePYUQDofDZrPV2qGfczgcHnmji2ZHlmV+QPwNN92f8QGqH+Kmt2DaZntz1Ro+n8wlabfbW+r/g7yk91u8uvND3HR/xqs7P9QUft49mwNLLwEAAMAfGY1GNXbn6y9Dhgxxv8Nbt27VOzEXJEmaOnWqEiclJan7v/nmGyWIiIhwvY5SvbkzXIGBgZMmTVLigwcPqgX+laizxej1+mpXibp06ZIaq8VALkiSFBMTo8Rnzpxx0bIp3EQAAAAAAAAAgG8xowwAAABaIFmWr1y5kpGRcerUqWvXruXk5FgsFucGzl9xKy4u7tChg+sOO3bs6LqBTqdTY6vVWveU3TJixIgPPvhACHHp0qXc3Nz27dsLIbZu3aocnTp1av1mPfXUcMXHxycnJyvx/v374+PjKzW4cuXKtWvXlDghIaHaVaKuXr2qxt26dXMn/65du6ampgohzp4966JZE7mJAAAAAAAAAAAfolAGAAAALc3Ro0fXrVt38+ZNN9u7UxKh1+sblpRnhISE3HXXXcePHxdC7N27d/r06devX8/OzlaOjhgxoh59enC42rVrFxMTk56eLoRITEwcP358pcKdf/7zn2ocFxdXbSdXrlxR42effVaj0Yj/TIcuy7IaCCEcDocSqMuil5SUyLJcU7WQN25iq1at7rvvPtdtrl+/LoTQarXOhTiopKKiwuFwaDSagADepfoLu92u/vBKkhQYGOjbfNBoHA6HMk03vxX9R6Vp+QMDA+tX2ovmSHnpGBAQoLyoQ8ujcTTX/8HVX0SSL56cLfLdgfKSXqvVVvuNCLRIyk1XYl7S+xXl3Rw33a+o7+MUvKT3H+q7uaZw0z275hd/ggQAAECLsn79+s8//9zXWXjRpEmTlEKZzz777Je//OWXX36p7B88eHDr1q3r2pvHh2v69OlKoUxRUdHZs2ejoqLUQ2azWc02Ojo6PDy82h7Ky8udT/Fgbt7QoUOHt956y3Wb2bNnCyH0en1oaGijJNUslZaWms3mwMDAkJAQX+eCRmIymdSfd0mS+AHxH1artbi4mJvuV2w2m/PSja1ataIs0n/k5eUJIVq1asUHaS1WgNVRe6OmSKv9qT4mwBdVHUFBQS3v/8Hi4mKr1arT6Vq1auXrXNBISkpK1PlotVpty3tWoyZms7m0tFSj0XDT/YfFYikpKVE3Q0JCKIP2Ew6Ho6CgQDSNm64W43okE96UAgAAoOXYv3+/Wvah0WgmTpw4bNiwTp06KZ/HSJKklr1nZ2fPmTPHd5nWX//+/XU6ndVqLSsrS0tL27lzp7J/0qRJde3KG8PVv3//kJAQ5Z1zcnLykiVL1EOHDx9W4+nTp9fUA5+cAQAAAAAAAAC8h79BAwAAoIWw2+3r1q1T4tDQ0NWrV4eFhblo3Fh5eZhWq504ceL27duFEK+//roy4aRer+/bt2+d+vHScEmSNGPGjPXr1wshUlNTi4uLlW8XybK8efNmpY1erx8wYEBNPXTo0EGNExMT+TIiAAAAAAAAAMCDmBMJAAAALUR2drbJZFLiZ5991kXZhxDixo0bjZKUV8TFxSmBuizrgw8+WNdl4L03XGPGjFHjvXv3KkFmZqYy8b4QIiEhwUW2t99+uxrn5ua6f10AAAAAAAAAAGpFoQwAAABaiKtXr6pxVFSU68bHjh3zcjpe1KlTp9tuu815z9ixY+vaifeGy2Aw3HfffUq8detWh8MhhNi2bZvaQC30qVb37t3rd10AAAAAAAAAAGpFoQwAAABaCIvFosaup1exWCx79uzxfkZeNHXqVDXu3LlzpboZd3h1uBISEpTAZDKdOnXKZDIdPnxY2dOvX7/w8HAX5xqNxujoaCXeunWrOmsOAAAAAAAAAAANR6EMAAAAWoh27dqp8eXLl1203LhxY3Mvv7j//vt3/MfatWvr0YNXhysyMrJTp05K/Mknn+zbt089NG3atFpPnzlzphKUl5dv2LChTpcGAAAAAAAAAMAFCmUAAADQQkRGRqrxn//852prO2RZ3rJlS0pKSiPm1UR5e7geffRRJUhPT//www+VOCgoKCYmptZz+/Xrd++99ypxSkrKxo0b7Xa761Py8vI++ugjk8lUj1QBAAAAAAAAAP6DQhkAAAC0ECEhISNGjFDiK1euzJs37+TJk2azWdlTVlZ28uTJhQsXbtq0SQgxZcoUnyXaNHh7uO6++251RSe1zCUhIcH1Mk+qBQsWqOtJffbZZ4899tiuXbtycnKsVquy0+FwmEymrKys3bt3P/fcc7NmzUpKSnI4HHXNEwAAAEDjC+rQ/a7X97a+vfYyegAAAMDjAnydAAAAAOAx8+fPP3nyZGlpqRDi+vXrL7/8crXN5s2bFxsbm5yc3LjZNTleHa7AwMBJkyZVOisuLs7N0/V6/XvvvbdixYr09HQhRGlp6bp16+qUAAAAAAAAAAAAVTGjDAAAAJoN5/lCJEmq2sBgMKxdu7ZPnz419RAUFLRs2bJx48Z5Jb/mxtvDFR8f77zZr1+/tm3bun96UFDQypUrlyxZYjQaXbeUJCkuLm716tUhISH1SRQAAAAAAAAA4DeYUQYAAADNgyzL6rI7kiRVWygjhDAajW+99db58+f379+fkZFx5coVIURERETfvn2HDRs2cODAwMDAxku6yfPqcLVr1y4qKurMmTPK5vTp0+vagyRJQ4cO/cc//nH58uWjR4+eP3/+3Llzt27dUpLs2rVrz549BwwY0KdPH24rAAAAAAAAAMAdFMoAAACgebDZbGrcuXNnFy0lSerTp4+LiVKEEB07dtyxY4frK7rTRhUSEuJ+41pt3bq14Z1MmDBhwoQJtTbz1HBVJctydna2EgcFBfXv37+uPagZRkZGRkZG1uNcH95EAAAAoOULNEj9Jv+fPdJmISqUcHBX46TRPX2QlRvathJ3tA0RQoR0KdE//WgjX90QE93IVwQAAIAzCmUAAADQPOTm5qpx9+7dfZcI3HX27Nni4mIlnjx5slar9W0+AAAAADws0CD1+T/V+bL035f9sZ1CnrynPvXujaqNELG+zgEAAACNS+PrBAAAAAC3pKWlqfHQoUN9mAnctHPnTjUeO3asDzMBAAAAAAAAAEDBjDIAAAB1I8tyTk7OiRMnMjIyLl26lJeXV1FRERYW1qVLl759+w4cOLBnz57MnOFxZWVliYmJ6uadd97p5olms3nGjBlKPH/+/DFjxng+uebpxo0bc+bMUeJXXnklJibGs/0XFRUdOnRIiWNjY9u2bevZ/gEAAAB4kPnCj0KWlVhze4ikkerbk6xGRbfMWZkFlQ6XGwKlevfd9MiS6GisqNMpoWaTRnbU73IOs01UyKZiyWqRa29dm+AOYYZO4Q3vBwAAoNmhUAYAAMBdsiyfOHFi/fr12dnZlQ7l5ubm5uaeOHFi06ZNwcHBv/rVr+Lj4wMDA32SZwtjNpt/+OGHd999t6ysTNkzZsyYNm3auN+D3W5XAoejnn+LdO348eMrVqxQN1944YXhw4d740KeJcuyOjLesHnzZjV+4oknvHchAAAAAA3349yXZItVicNTHnIIaz07kv77tuvQ15lFV3ZVOn56WBeH8ECRRxOhD9A8P+lanU4Zf/H74NLc2ttVx1ZorPgu/fzNPie3nq1fD85iFz9y14pZDe8HAACg2aFQBgAAwC0mk2nlypWnTp2qtWV5efmHH36YnJy8YsWK7t27ez+1lslms02ePLnqfqPR+MwzzzR+Pi5s27bNueJk69atzaJQxnvKyspSUlJSUlKUzX79+vXs2dO3KQEAAAAAAAAAoKBQBgAAoHZ5eXkLFiwoKSlR94wYMWLixIndunVr3bq1EMJqtebk5HzzzTeffPKJUjNRVFT07LPPLlmyZOjQoT7Lu8W56667Fi1aZDAYfJ3IfxUVFaWnpzvvyczMzMvLa9euna9S8pV33nln3759lXZqNJpFixb5JB8AAAAAAAAAAKqiUAYAAKAWxcXFv/3tb9V1fzp06LBixYqOHTs6t9Hr9ZGRkZGRkQ8//PD7779/6NAhZf/KlStfffXVmJiYxk66BWndunXv3r2jo6NHjhzZuXNnX6dT2cGDB6vu3Lt377Rp0xo/maZGkqQVK1aEh7PmPQAAAAAAAACgqaBQBgAAwBVZlpctW6ZWyURFRa1cuVKn09XUXq/XL1q0qFOnTlu2bFH2/PGPf/zrX/9qNBobI90WJDAwcMeOHQ3vJygoyCP9VEuW5a1btypxdHR0UFDQiRMnhBCffvrp1KlTNRqNl67bxGk0mq5duw4fPjw+Pp5nPgAAAICqzDezfnjvmd5Pr2rdvb+vcwEAAIDfoVAGAADAla+++urChQtKHBoa+sorr7ioklFIkvSrX/3q8uXL//73v4UQFRUV77zzzrJly7ydKhrfjz/+WFRUpMSTJ08OCAhQCmXKysrOnTsXFRXl0+wa2//8z//8z//8j6+zAAAAANAcyLJsrxCy7Os8AAAA4I/89EuuAAAA7rDZbOvXr1c3X3jhhaCgIHdOlCRpwYIFkiQpm8ePH7906ZI3MoRvff7552p85513DhgwQJ1F5p///KePkgIAAAAAAAAAADViRhkAAIAaffPNN1arVYk7deo0YMAA9881GAyTJ09OTk5WNrds2fLSSy/Vepbdbj916tSJEydOnz59+fLlioqK8PDwmJiYO++8c8iQIbVOZuPM4XCcPXv2u+++O3PmzMWLF81mc0hISK9eve6888677767Xbt27nfVcDdv3jx27Nh3332XlZWVl5en0Wjat2/fo0eP/v37Dxw4MCIiohF68Dir1fr1118r8ZgxY5S7M27cuJSUFCHEkSNHysrKDAZDPXq22+0nTpw4ePDgDz/8kJ+fbzQa+/btO3bs2NjYWLX6SlVQUHDgwIHU1NSsrCybzXb77bcPGTIkLi6ufmse2Wy21NTUI0eOnD17trCwsE2bNrGxsXffffeQIUO0Wm2dHoKnnskqWZYzMjIOHjz4/fff5+fnBwcH33HHHUOGDBk5cmSdxjk3N/fIkSM//PDDmTNnTCZTUFBQnz59+vbtO3z48E6dOtUjMQAAAAAAAABAM0KhDAAAQI2cJwV55JFHqtYouDZhwgS1UObIkSNWq9VFfYAsy7t37964caPFYnHen52dnZ2dvWfPHq1W+8wzzzzwwAO1piHL8tdff/2Xv/ylvLzceX9+fn5+fv633367bt26wYMHP/PMMx07dqx07qFDh/73f/9XiTdt2uS6/iA9PX3p0qVKvH79+vbt21dtU1JS8s4776SlpVXaf+XKlStXrhw4cEAIER0d/etf/7p3797VXqWBPZjN5hkzZijx/Pnzx4wZ4+IR1cnRo0fVOD4+XgkeeOABpVBGCPHNN9/UerkbN27MmTNHiV955ZWYmJjMzMylS5cWFxerbfLz8w8dOnTo0KHIyMg//elPISEhyn673f6Xv/xl165dzh2eOXPmzJkzH3300fz588eOHVunR5Senr5y5Urnp01eXt7evXv37t3bqlWrxYsX9+/fv9ZOPPJMrjosOTk5S5cuzcnJUdtYrdbU1NTU1NQPPvhg4cKFo0aNqjW3oqKiN998Mz093Xmn1WpNS0tLS0v7xz/+0aNHjz/84Q8+qbsCAAAAAAAAADQOll4CAAConsViOXfunLpZp+lkFOHh4WFhYepmZmZmTS3LyspeeOGFtWvXVqotcGa329euXbtixQq73e7ioiaTaeHChatXr65UJVNJWlraM888U3W/LMv2/3BxunNWCrm6peWLioqefvrpqjUulfzwww8LFy6sNuGG9+CcpMPhcN1PnSQlJSmBwWBQa3S6d+8eGhqqxFu3bq21k0oDnp6e/txzzzlXyTjLyspasGCBMstRRUXFSy+9VKlKxtnq1au/+uor9x9Oamrq4sWLaxpDk8n0hz/84YsvvnDdiaeeyZWG5cKFC7Nnz3aukqnU+O2331brk2qSnp7+xBNPVKqSqSQzM/PXv/71kSNHXHcFAAAAAAAAAGi+mFEGAACgetnZ2WpsNBrrt5DN6NGjP/vsMyX+4YcfoqKiqraxWCwLFiy4ceOGstm+ffvHH398wIABoaGhkiQp9TobNmzIysoSQqSlpa1aterFF1+s9nLl5eXz5xGaJUoAACAASURBVM/Py8tTNoOCgn75y1/ee++94eHhAQEBsiyXlJRcvnz5q6++2r9/fz0eTl0tX768rKxMiYcNG5aQkNC5c2eDwSBJksPhKC0tVaaE2bNnj/d68JK8vDy18umhhx5SJ0eRJCkhIeFvf/ubECI7O/v69eu33Xabm31+991327ZtE0IMHjz4kUce6dq1a2BgoM1my8zMfPfdd5UnZF5e3ocffvib3/xm1apV586d0+v1s2bNuueee4xGoyRJxcXFu3fv3rRpk9Lh6tWrhw0b1rp161ovfezYse3btwshunTpMnv27D59+gQFBTkcjpycnG3btqkrTP2///f/brvttoEDB1bbiQefyc4yMjKSkpJkWY6Kipo5c2aPHj2Cg4NlWc7Ly0tKSlJv/dq1a4cNG9amTZtqO7l06dLixYvVzdjY2JkzZ0ZGRgYGBlZUVFy7dm3Tpk3ffvutcvSNN95YsWJFbGxsrbkBAAAAAAAAAJodZpQBAACo3s2bN9W4plWBatW9e3c1vnz5crVt3n//fbW2ID4+fv369aNGjWrTpo1Go5EkKSgoaMCAAe+9915cXJzS5vDhwzXNirFq1Sq1SiY2NvZvf/vblClTOnbsGBgYKEmSRqMxGo0xMTHPP//8Rx99NH78+Po9KDddu3btwoULSvyrX/3q97///R133NG6dWvlcWm1WqPR2L9//3nz5m3ZsuWRRx7xRg/es3fvXjW+7777nA+NHj1ajetUwZOUlORwOObMmbN06dKePXvqdDpJknQ6XVRU1Pvvv6+uB5SSkpKYmHjkyJFOnTpt3Lhx/PjxYWFhypgYjcZp06YtXLhQ7XPnzp3uXFqpkhk5cuTq1atjY2ODg4OVEe7cufOzzz6rLrAlhHjttddsNlu1nXjwmewsMTGxoqJi5syZb7zxRv/+/ZUyKY1GExERMW/evKefflptqZQZVWW325cvX65uPvnkkytWrOjdu7cywoGBgd27d1+8ePFvf/tbtc2rr76qzNwDAAAAAAAAAGhhmFEGAACgetevX1fjbt261a8TtbhBCPHjjz9WbXDhwoVDhw4p8dChQ2fPnq3OTeJMo9HMmzfv3Llzly5dEkK8++67f/nLXyq1zMjISE1NVeJevXotW7ZMq9XWlJjRaPzNb35T58dTF+fPn1fjyZMnu2gZHBw8bdo0b/TgJQ6HQ6ksEUJ06tSpY8eOzkfDw8N79OihzDfz+eefP/bYYy5uRCXjx4+Pj4+vul+n082dO3fZsmXKZmJiohDitddeCwkJqdp41KhRH3/8sVKz8sUXX8yYMcOdS3fp0mXhwoUaTTWV9IMHD37mmWfWr18vhDCbzV988cVDDz1UqY0Hn8lVjRkzZsqUKdUemjhx4meffZabmyuE2LNnz6xZs6r29q9//Ss/P1+Jx40bN2nSpGq7iouLu3HjhrKiltls3rZtmztDV1xcrM64UxNlIaqKigqz2Vxrh35LWWbLbrczSv6joqJCjWVZ5tb7D/XWc9P9R6X1Fq1Wq/NvAPgDq9Xq5tKuaCKqWVgXnlPtysXunuuQhRAOh2dukWffpCiLHfPGx684/253OBzcev+hfIeK93F+pdILeIvFUusf9NAyqK9bmsJNV3/nNOTVlIpCGQAAgOoVFRWpcXh4eP06CQ0NVePCwsKqDTZv3qzGCxYscPFaU5Kk+fPnK5OF5ObmXr16tWvXrs4N1AV3hBAvvvii+8UZXqKWJgQFBQUGBvqkBy85e/ZseXm5EldbwDF58uS33npLCGG1WjMyMtxfxOfxxx+v6VD//v2dNxMSEsLCwqptKUnShAkTNm7cKIQoKioqKSmptp6mknnz5lVbJaMYP378xx9/rCyDtWXLll/84heVnqsefCZX9dRTT7noLSEhYd26dUIIs9lcUFBQ9af1k08+UeMnn3zSxYWmTZv26aefKu/8t23bNm3aNBdjosjLy/vTn/7kuk3Pnj2FEFartbS01HVLVFRUMEr+SZZlbr2/4ab7M3VhTfgP9cUzmjLnzxtkWRZ8+OWeenxO05CPdn6qL3d4pvLMG29SbDZbTbOQomVTFsj2dRZoVNx0f2YymXydAhpbU7jp6ntJjxTKsPQSAABA9Zz/shMQUM/yYudqFWVWCWfl5eVpaWlKPHr06FqrGXr16hUcHKzE//73v50PlZSUnDp1SokHDhxYaY4Tn1Afjtlsrt/L6Ib34CU7duxQ43vuuadqgyFDhqixOvdMrQYPHmwwGGo6qtPpOnTooG7+/Oc/d9FVnz591PjWrVu1XjooKKhv374uGmi12oSEBCUuLS3NyclxPurBZ3JVAwcOdN1hdHS0GhcUFFQ6mpeXp8w3I4QYM2aMixEWQuh0ul/84hdKbLValWlvAAAAAAAAAAAtCYUyAAAA1XOewqTek8M7T0Kr1+srHXX+GH7kyJG19iZJUkxMjBKfOXOmpq7Gjh1b50S9oHfv3mr8+uuv1+Orww3vwRvKysqOHDmixAMHDmzdunXVNkFBQSNGjFDiEydOlJSUuNPzoEGDXDfo1KmTGt92220uWhqNRjV2p1Dm3nvvrXXmzLvuukuNlYWlVB58JlflXHVULdcP9vLly2p877331pqbc+XThQsXam0PAAAAAAAAAGheKJQBAAConvMkFlWnqXCTc4VE1YVyrl69qsbdunVzp0N1kZqzZ88673euBujevXsd0/SK7t27d+7cWYlPnjw5ffr0N998Mz093f16l4b34A3ffPONGj/00EM1NZs4caIaHzp0yJ2enSeMqZY6G4per3c9y5FzVZY7s1471yS5k57zU1d49JlcVa3TI+l0OjW2Wq2Vjl67dk2NnSuN3LlcVlZWre0BAAAAAAAAAM1LPRcRAAAAaPGcZ+y4cuVK/Tq5ceOGGkdGRlY66tzts88+q9FoxH/W15RlWQ2EEA6HQwnUKWpKSkpkWVZnAcnOzla7cp5gw4ckSVq+fPn8+fPLy8uVPYcPHz58+LAQIjw8fOjQoUOGDImOjm7VqpX3evCGLVu2KIFGoxkwYEBNzaKionQ6nVK3kZycPH78+FqnbKk651AlyjNECBEUFFSHjN3Qvn37WtuoiyUJIa5fv+58yIPP5KpqHRbXnFMNDQ2ttb3z08m5yKYm3bt3P3jwoOs2zz33nBAiODg4PDy81g79lslkMpvNer2+2lma0CKVlZWpv941Gk3VclK0VFartaSkRJKktm3b+joXNBKbzVZcXKxuGo3Gei9simYnPz9fCBEaGuo8YSeaplxJkv8TayTJ4ctcmpNa3+hVpb6zq4eAwIAKIQI99FvUYDB48E1KSUmJ1WoNDg52veItWpLS0lJ1nfGAgIAm8vcoNAJlkXStVtumTRtf54JGYrFYSktL1c2wsLCG/HeGZsThcBQWFoqmcdPVv4p7JBPelAIAAFTPef6M8+fP168T54leqs60oX5AKIQwm831u4TCeSKNpvM36IiIiL/+9a8bN2788ssvnffn5+enpKSkpKQIIQYPHvzEE0/UNA1Jw3vwrGvXrqmFF+PGjXPxGY9Wq504ceL27duFEHl5eZcvX65aKVVvHn9P4jwpS020Wq0aq38IU3jwmexxzhPquPOZnPPYVnqYNbWv9a/Ayp/OJUmqx9/Q/RCj5Le49f5DvdfcdP9R6V7zf6If4qYDTZY3fjb5efdb3Hr/wUt6P8RLer/l/PPu85vu2QQolAEAAKie8yothYWFRUVF9fhmzIEDB9Q4Ojq60lEPfpXWudDBZrN5fMaRejMYDL/97W9nzZr13XffHTlyJDU1tVLxQVpaWlpaWkJCwuOPP17tK92G9+BBX331lRqnpKRUKt+pxOH475cwv/jii9/85jdezKxhqq5YVJXzw6lUWNOUvxTuXDemTmPjgvPDbOBkNgAAAAAAAACAJqjp/kUbAADAt4KCgnr06JGZmalsZmRkjBgxok49FBYWKjONK3r06FGpgfOkNYmJiQ1ZQsi5rKe4uDgkJKTeXamUJXJccKfsQGEwGIYPHz58+HBZlm/dupWZmXno0KEDBw6oPWzfvr1bt25jxozxXg8NZ7fbd+zYUWmPm+fu2bPn17/+ddOZ7KeSvLy8WtuUlZWpsfPCZMKjz2SPc86tpKSk1txMJpMaO/9YAQAAAAAAAABaBhYPAwAAqNFDDz2kxps2baq1cKSSL774Qo2HDh1adZaX22+/XY1zc3PrleNPnBceysrKqnc/zsvr1FoF4k51RSWSJIWFhQ0aNOi5555LSkqaNWuWemj9+vXOk3l4r4d6S09Pr6ioqN+5DofjxIkTns3Hgy5cuFBrG+enaJcuXZwPefCZ7HHOqWZnZ9fa/saNG2rswdWyAAAAAAAAAABNBDPKAAAA1GjEiBHvv/++Ui9y9erVjIyMmJgYN88tLy/funWrujl9+vSqbbp3767Gx44dc96sK+dzv/766+HDh9evn9DQUDUuKSlx3qwqIyOjfldRBAQEPPzww1evXlUWMCorKysoKGjXrl1j9lAn27ZtU+NPPvnEYDDUeordbp8yZYryFEpOTh46dKiXcmugQ4cOzZs3z/XCVcePH1dj58oY4dFnssc515D9+9//vuuuu1y3T01NVeOePXt6Ky0AAAAAAAAAgI8wowwAAECNdDrdU089pW6+/fbbVqvVzXPXrFmjzkATExPTq1evqm2MRmN0dLQSb926td6zlQghQkJCoqKilDgtLc15Vow6ca4y+fHHH120tFqt+/fvr99VnDnX9JSUlPikB3cUFxefPHlSiQcPHuxOlYwQQqvVxsXFKfGZM2cKCwu9lF4DlZeXnz171kUDu92+fft2JW7VqlWlNYk8+Ez2uPbt26vP6i+//NJsNrtobLPZ1NW1dDpd1eXSAAAAAAAAAADNHYUyAAAArowfP75r165KXFhYuHz5cpvNVutZSUlJBw8eVGKNRrNo0aKaWs6cOVMJysvLN2zY0JBUH3vsMTVetWpV/RYhioiIUKcVUSsGqrVlyxaPrHNUUFCgxq1bt/ZJD+44dOiQGsfHx7t/4v3336/G+/bt82ROHrVmzRoXN/Trr78uLS1V4qlTp1ade8aDz2SPmzZtmhLIsrx582YXLT/99FOLxaLEDz30kEbD2yUAAAAAAAAAaGn4yy8AAIArWq125cqVer1e2UxPT3/22Wfz8vJqam+z2d57772PPvpI3bNkyZKwsLCa2vfr1+/ee+9V4pSUlI0bNyrL9LiQl5f30UcfmUymSvtjYmIGDx6sxGfOnFm5cqWLyTNMJtOHH35Ydb9Wq1XzOXPmzLffflvt6f/617+SkpJc57l169b09HTXD6e8vFwdq6CgoEqrJjW8B0+RZdl5Ia0BAwa4f27Pnj3V58+2bdvUeYaamqysrNWrV1dbK3Py5Mk1a9YosV6vnzhxYtU2Hnwme9z999+v/gx+9tlne/bsqbbZwYMHP/74YyXW6/VTp071dmIAAACA3wrq0P2u1/e2vt3d1Y0BAAAAD6JQBgAAoBZhYWGrV69Wl9q5du3arFmz3nnnnXPnzpWVlSk7bTbbtWvXPv300xkzZuzdu1c9d9GiRWrxSk0WLFhw2223KfFnn3322GOP7dq1KycnR13myeFwmEymrKys3bt3P/fcc7NmzUpKSqq2oGHRokVqQUBaWtqTTz65c+fOvLw8pWRBlmWTyXT27Nk1a9bMmDHjn//8Z7X5OM9M8+qrryYmJt66dUsp77BYLOfPn1+2bNm7776r1WpdVxJcvHhx8eLF06ZNW79+/cmTJwsKCtTJeOx2e2Fh4f79+5955hl1NaI5c+ZUmqek4T14SlZWlnqVESNG6HQ698/VaDTjxo1T4pKSkgsXLng+vwZ78MEHhRB79+59/vnnT506pTz3HA7HzZs3169f//LLL6stX3zxxZoevgefyZ6l1WqdH8KaNWteffXVrKwsZYkou91+9erVVatWvf3222qb3/3ud0FBQd5ODAAAAAAAAADQ+AJ8nQAAAEAz0LFjxw0bNixfvvzcuXPKnn379rleRqd169bLly/v3bt3rZ3r9fr33ntvxYoV6enpQojS0tJ169bVL0+DwfDnP//5d7/73ZUrV4QQJpNpw4YNdV0Hp2PHjjNmzEhMTFQ2ExMT1djZ66+/brVaa51Xxmq1fv75559//rnrZuPGjbvvvvu81EPD7dq1S40feOCBup4+ZswYdR2rnTt3Pv/88x7LzEPuueee6OjoN998MzMz8/e//31NzZ566qkhQ4bUdNSDz2SP69Wr1/Lly5cvX67U5Xz77bc1zZYkhHj++ecHDRrUiNkBAAAAAAAAABoPM8oAAAC4JSQk5K233lqyZElERITrljqdbubMmX/729/cqZJRBAUFrVy5csmSJUaj0XVLSZLi4uJWr14dEhJSU56rV6+eNWtWQICrkujY2NgPPvigpqPTp0+fM2dOTUfbtWu3Zs2aO+64w3WqbgoJCXnhhRfmzp1b78lgGt6Da1ar9csvv1RiSZL69u1b1x5uv/324OBgJd6/f7+LJbF86N577122bFlNs8UEBwevWLHioYcect2JB5/JHjdw4MC//vWvUVFRLtp069Zt/fr1P/vZzxonJQAAAAAAAABA42NGGQAAAHdJkjR06NAhQ4ZkZ2efOHEiPT390qVLN2/etNvtYWFhXbp06du376BBg3r37q3VauvX+T/+8Y/Lly8fPXr0/Pnz586du3XrlhAiIiKia9euPXv2HDBgQJ8+fQIDA113pdFoHn744QcffPDkyZPffffd6dOns7KyrFZr27Zte/bsGRsbe/fdd7su95EkKT4+fuTIkQcPHjx69OjZs2fLysratWvXr1+/n/3sZ7Gxse48wBdffDE3N/fy5cuXLl368ccfr1+/npubW15e7nA4jEZjt27d+vbtO3DgwD59+mg01VdvN7wHjzh+/Liy8pQQ4mc/+1mt41+VMp7btm1TNo8ePTpy5EhPpughd91116ZNm7799tsjR46cOXPm1q1boaGhAwcOvPvuu++55x43n9UefCZ7XFhY2Jtvvnnz5s3Dhw+fPn36hx9+KC0tNRgMd9xxR9++fYcPH96lS5dGTgkAAABoIvRdO8vWn9a61cihGm1Fw/tsFaK/rUvlGvqycINDyA3vvInQaaWQwNA6nSK1aieken40o7EGaTp0DbSHG6O61a8HZ0Ht2jS8EwAAgOZIUv/oDwAAAADwuNmzZx87dmzu3LmzZs3ydS5NV2lpqdls1uv1jTbJEHzOZDKVl5crsUajadu2rW/zQaOxWq3FxcWSJIWHh/s6FzQSm81WVFSkbrZp08b13IdoSfLy8oQQRqOx8Yuk4SutWrUqKytT4iVLlqxYscK3+aDRFBcXW63W4ODgVq1a+ToXNJKSkhKLxaLEAQEBbdpQeuUvzGZzaWmpVqsNCwvzdS5oJBaLpaSkRN1s27atV7+4iKbD4XAUFBSIpnHTTSbT6NGjhRBbt27t0aNHA3vjGQwAAAAAAAAAAAAAAAC/QKEMAAAAAAAAAAAAAAAA/ALTnAIAAMAvzJgxw2w2O+/ZuHGj+zPELl68+PTp08573nzzzd69e3ssPwAAAAAthS3n5uXfrfR1FjXq+livAJHbwE5eLPjF5RJH1f1W+393Hvjy4ppuB/MGlSqbwyLkBl5UMTBcI6Sf+tSIwLYFt9w80X5Dtu0+UmuzfHv3tK2X6p2e33I4HLIsS5LU+OsyPPD120ERLPoDAADqgEIZAAAA+AW73W632533HDhw4OGHH3bn3Fu3bqWnp3snLwAAAAAtjWyrsPx42ddZ1EgytxPWaw3s5Mot68UCS9X9DqdimJJiS1F+ebbpp0KWYqtnCmUcItDhKFRijaQXtjx3zyzXOq5fqr3/4NDCjB/rmRx8wVFhr70RAACAE5ZeAgAAgJ9KTk6WZbf+ULt//34v5wIAAAAAAAAAABoDhTIAAADwLxqNRpIkIURxcXFmZmat7WVZTk5OVmKdTufd5AAAAAAAAAAAgDdRKAMAAAD/YjAY4uLilHjXrl21tr948WJxcbEQQqPRxMfHezc5AAAAAAAAAADgTRTKAAAAwO+o9S5ff/211Wp13Vgtphk3blyHDh28mxkAAAAA+IGrF65Nv+PxM2lnfZ0IAAAA/BGFMgAAAPA73bt3DwsLU+K0tDQXLS0Wy969e5V4/PjxXs8MAAAAAPyALMv2Crss+zoPAAAA+KUAXycAAAAANDZJkqZMmbJhwwYhRHJy8vDhw2tqqZbRhIWFRUZGnjp1qpFS/L9kWb58+fL3339/+vTpixcvFhQUBAQEdOnSpXfv3oMGDRowYIBOp6tftxkZGQcPHvz+++/z8/ODg4PvuOOOIUOGjBw50mAw1LU3u91+4sSJgwcP/vDDD/n5+UajsW/fvmPHjo2NjZUkqVLjgoKCAwcOpKamZmVl2Wy222+/fciQIXFxcUaj0f3kvTEmygNJT08/cuTI6dOnb968WVFR0bdv31dffbV+vQEAAAAAAAAAmhQKZQAAAOCPRo0apRTKXLhwIT8/Pzw8vNpmSUlJSjB16tSq1R6VpKSkrF+/Xonff//9rl271pqG3W5/5JFHLBaLECIqKuq1116r1MBkMn311VfJycnFxcXO+61W67lz586dO7dr1y5JkubOnRsXF+ciwxs3bsyZM0eJX3nllZiYmJycnKVLl+bk5Dj3mZqampqa+sEHHyxcuHDUqFHu95aZmbl06VLnJPPz8w8dOnTo0KHIyMg//elPISEh6kP+y1/+oi5opThz5syZM2c++uij+fPnjx07tuYB8+SYVPtAzp0798orr1Tq2WazuU4JAAAAAAAAANBcsPQSAAAA/JHRaOzXr58S79u3r9o2eXl5mZmZSjxy5Mha+xw9erT9P3bs2OFOGsePHy8rK1NOmTp1atUGL7744saNGyvVbVQiy/KaNWuWL1/ucDhctFFzE0JcuHBh9uzZzlUylRq//fbbKSkpbvaWnp7+3HPP1ZRkVlbWggULrFarEKKiouKll16qVCXjbPXq1V999VVNRxWeGpOqDyQtLW3RokWuewYAAAAAAAAANGvMKAMAAAA/NWXKFGUppe3bt0+ePLnq1CN79+5VgpiYGHeWBDIYDPfdd59SdrNnz56nnnoqKCjI9SmbNm1SAr1eHxsbW1OzyMjIBx98MDo6Ojw8PDg4WAhht9sLCwtTU1P//ve/m81mIcTx48c3bdr02GOP1ZpnRkZGUlKSLMtRUVEzZ87s0aNHcHCwLMt5eXlJSUl79uxRmq1du3bYsGFt2rRx3dt33323bds2IcTgwYMfeeSRrl27BgYG2my2zMzMd999Nzs7WwiRl5f34Ycf/uY3v1m1atW5c+f0ev2sWbPuueceo9EoSVJxcfHu3bvVoVi9evWwYcNat27t+rqeHRMhxLFjxz799FMhRK9evZ544olevXopw3Lz5s0jR4640wMAAAAAAAAAoOljRhkAAAD4qdjYWK1WK4QoLS09f/58paMOh0MpmxBCTJ482c0+ExIS1Pjw4cOuG+fk5Kgz1iQkJCjJVDJo0KAPPvhg9erVcXFxXbt2NRgMkiRJkhQQENC+ffsJEyZ89NFH0dHRSuOkpKTCwsJak0xMTKyoqJg5c+Ybb7zRv39/pU+NRhMRETFv3rynn35abalUwLiWlJTkcDjmzJmzdOnSnj176nQ6SZJ0Ol1UVNT7778fERGhNEtJSUlMTDxy5EinTp02btw4fvz4sLAwjUYjSZLRaJw2bdrChQvVPnfu3Oniit4YEyHE9u3bZVl++OGHV61aNWDAAHVYOnbs6P4TAAAAAAAAAADQxDGjDAAAAPxUQEBAfHy8UpPx+eefP//8885Hz549W1ZWJoTQarUu5nqpJDIysnPnzteuXRNCJCYm/vznP686UY3KeQWisWPHVttm1qxZrq+o1+v/+Mc/Pv744xaLRQixe/fuGTNm1JrnmDFjpkyZUu2hiRMnfvbZZ7m5uUKIPXv2zJo1y8VDUIwfPz4+Pr7qfp1ON3fu3GXLlimbiYmJQojXXnstJCSkauNRo0Z9/PHHN27cEEJ88cUXLh6Fl8ZECBEbG/vkk0/W+nidORyOiooKd1rKsizLsvs9+xtlcBglf8at9x/qveam+49K95rf9n7ID2+6vz1eF7wxEIwuKvHDXzJNE3fBf/CS3g/xkt5vOf+8+/ymezYBCmUAAADgvx544AGlUGb//v1z5851Xilpx44dSjBhwoRq53qpyaOPPvrGG28IIXJzc3/88ccePXpU28xqtarzpkRFRbVr165+D0EIYTAYEhISlDIUN4tCnnrqqZoOSZKUkJCwbt06IYTZbC4oKAgPD3fd2+OPP17Tof79+ztvJiQkhIWF1XTdCRMmbNy4UQhRVFRUUlJSbT2Nm+oxJkKIOXPm1KlKRghx6dKlX/7yl67b9OzZUwhRXl6en59fp879kNVqZZT8k8Ph4Nb7G1mWuel+q6ioyNcpoLEVFxf7OoXGZr91y9cpuFJRUVGHdzg1sDvsbl3LZmvwpapc2m7X/OcByI46fF5SUeFWMjYv5AyvKiwsLNf7Ogm/V1FRwas7f2O327npfsvN+ZvRkjSFm658r1UI4XA4Gt4bSy8BAADAf3Xp0qV9+/ZKfPToUXV/WVnZkSNHlHjcuHF16nPo0KFqYc327dtravbtt9+qL+inT59ep0tUNXDgQCUoLCw0m821NnZdg6KuWySEKCgocN3b4MGDDQZDTUd1Ol2HDh3UzZ///OcuuurTp48a32rwRwt1GhMhREREROfOnRt4UQAAAAAAAABAE0ehDAAAAPyXJElTp05V4qSkJHX/N998owQRERFdunSpU5+BgYGTJk1S4oMHD6p17pVs3rxZCfR6vftLO9XEaDSqca3f0h4yZIj7vdVasDJohRK2PgAAIABJREFU0CDXDTp16qTGt912m6euW6s6jYkQYuTIkQ28IgAAAAAAAACg6WPpJQAAAPi1ESNGfPDBB0KIS5cu5ebmKhPMbN26VTk6derUuq7FI4SIj49PTk5W4v3798fHx1dqcOXKlWvXrilxQkJCrUs7ybJ85cqVjIyMU6dOXbt2LScnx2KxODdwnm2yuLjYeRKXqjp27Oj6cjqdTo2tVqvrxq6vJYRQ55vR6/UBAa7egOj1/50su9bZzj07JkKIrl27um4AAAAAAAAAAGgBKJQBAACAXwsJCbnrrruOHz8uhNi7d+/06dOvX7+enZ2tHB0xYkQ9+mzXrl1MTEx6eroQIjExcfz48ZWqbf75z3+qcVxcnOvejh49um7dups3b7p59VpLW5zrURqu1t40mp+msQwKCvLURT0+JkKIsLCwemTSrl27l156yXWbzz//XAih0+lat25dj0v4CYvFYrPZAgICPPg8QROn3HQlliSpVatWvs0HjaaiosJsNnPT/Yrdbi8vL1c3DQaD+vIALV5paakQIjg4uNbS8BbGZijJ93UOLmi0GuGovVktnUhu/SB749b/n98hdflig1artbvXrM45wadatWoVzLstXzCbzRUVFUqs0WhcrMuMFsZms1ksFm66X1Hex6mbrVq1qsd3C9EcybJsMplE07jpagIeyYRCGQAAAPi7SZMmKYUyn3322S9/+csvv/xS2T948OB6VzZMnz5dKZQpKio6e/ZsVFSUeshsNquXiI6ODg8Pd9HP+vXrlTKLFsBTH4l5aUxcz3ZTk9DQUHX1rpp8/fXXSv+UgLhQUVFhs9m0Wi2j5D/sdrtzoQy33n9YrVblD6zcdP9hs9mcC2V0Ol39/ttFc6QUyuh0usDAQF/n0qg0Hq1N9zg3a1xcc/PzCW8Uxmk0kkNW06jDiZJ7D5xivmZHr9fzusInbDabc6EMd8GvWCwW3sf5FYvF4lwoo9fr+e/STzgcDqVQpincdLv9p5pnCmUAAAAAD+jfv79Op7NarWVlZWlpaTt37lT2T5o0qSF9hoSElJSUCCGSk5OXLFmiHjp8+LAaT58+3UUn+/fvVytCNBrNxIkThw0b1qlTp1atWgUEBEiSpL4lyM7OnjNnTr2zbUYYEwAAAAAAAABAQ1AoAwAAAH+n1WonTpy4fft2IcTrr7+ufB1Kr9f37du33n1KkjRjxoz169cLIVJTU4uLi0NDQ4UQsixv3rxZaaPX6wcMGFBTD3a7fd26dUocGhq6evVqF2sDqdX0LRtjAgAAAAAAAABoIOZEAgAAAERcXJwSqJMGP/jggw1cmX7MmDFqvHfvXiXIzMzMy8tT4oSEBBeXyM7OVqa1FEI8++yzLipChBA3btxoSKrNBWMCAAAAAAAAAGggCmUAAAAA0alTp9tuu815z9ixYxvYp8FguO+++5R469atDodDCLFt2za1gVqdU62rV6+qcVRUlOtrHTt2rP6JNh+MCQAAAAAAAACggSiUAQAAAIQQYurUqWrcuXPnSnUz9ZOQkKAEJpPp1KlTJpPp8OHDyp5+/fqFh4e7ONdisaix67ltLBbLnj17GpxsM8CYAAAAAAAAAAAaKMDXCQAAAABNwv3333///fd7ts/IyMhOnTplZ2cLIT755JNhw4aph6ZNm+b63Hbt2qnx5cuXo6Oja2q5ceNGdcWolo0xAQAAAAAAAAA0EDPKAAAAAF706KOPKkF6evqHH36oxEFBQTExMa5PjIyMVOM///nP1ZZ9yLK8ZcuWlJQUDyXb1DEmAAAAAAAAAIAGolAGAAAA8KK7775bXSTIbrcrQUJCguuVg4QQISEhI0aMUOIrV67Mmzfv5MmTZrNZ2VNWVnby5MmFCxdu2rRJCDFlyhSvZN/EMCYAAABAy9C1d5ekix9HD7nD14kAAADAH7H0EgAAAOBFgYGBkyZNSk5Odt4ZFxfnzrnz588/efJkaWmpEOL69esvv/xytc3mzZsXGxtb6RItFWMCAAAAAAAAAGgIZpQBAAAAvCs+Pt55s1+/fm3btnXnRIPBsHbt2j59+tTUICgoaNmyZePGjWtois0HYwIAAAAAAAAAaAhmlAEAAAC8q127dlFRUWfOnFE2p0+f7v65RqPxrbfeOn/+/P79+zMyMq5cuSKEiIiI6Nu377BhwwYOHBgYGOiVpJswxgQAAAAAAAAAUG+SLMu+zgEAAABoyWRZfuyxx4qLi4UQQUFBiYmJWq3W10mh8cyePfvYsWNz586dNWuWr3NpukpLS81ms16vDwkJ8XUuaCQmk6m8vFyJNRqNm1NtoQWwWq3FxcWSJIWHh/s6FzQSm81WVFSkbrZp0yYggC/v+Yu8vDwhhNFo9LdSZtlqNWdm+TqLGunCArS6hnZy0RpmdlQzY/3gnreZy8uU+LdzFy76wx/k0J8+gzA2+KIKQ4Cskf7zuYYsB9odbp4omyvkW6Zam5nLpbJiPjepM5PJZLPZ9Hp9cHBwI1+6bWxPjY7/WXygpKTEYrEocUBAQJs2bXybDxqN2WwuLS3VarVhYWG+zgWNxGKxlJSUqJtt27bVaFi4xi84HI6CggLRNG66yWQaPXq0EGLr1q09evRoYG+8dAAAAAC86+zZs0qVjBBi8uTJVMkAAAAALZuk0wVH9fZ1Ft7Vs4b9Gum/cZu2wZGdvV8L6/YbLEknpNDamxmEMDQkH3+lKy62Wq3BwcGtWrXydS4AAAC1oNQLAAAA8K6dO3eq8dixY32YCQAAAAAAAAAAfo4ZZQAAAAAvKioqOnTokBLHxsaytogzs9k8Y8YMJZ4/f/6YMWN8mw8AAADcVHT2yuUd/1+tzUwmU8duwQ5dYFOYVVE38DZNz8ZeEaYF2/tDm1vlUtX9dsd/Fy26eDb/i09PNWJS8CWz2Wy32wMDA3U6Dy2y5R7D7YHWdvbGvKIL4UEBrQNs6maAJPWUSn/acMhyboEHr2W/aZbNVsnQOmBYvAe7BQDAT1AoAwAAAHjR5s2b1fiJJ56odHTGjBlms9l5z8aNG91f4Hnx4sWnT5923vPmm2/27t2c5ni323/6g6bD4fBtJgAAAHBf4feZaS+td6el8RddywpveTsfd7R99RdyN1vt7eCej9MGXMwtr7rf5lQo80P6jS3W442YFPxR34c7ZPbM83UWPxkaEWEMvKFuBgcE95Azf9pwBMgZ33vwWhXnZfvVK5qILhTKAABQDyy9BAAAAHhFWVnZtm3bUlJSlM1+/fr17NmzUht7FQcOHHCz/1u3bqWnp1c63ZMPAAAAAAAAAACAFocZZQAAAABPeuedd/bt21dpp0ajWbRokTunJycnP/TQQ5JUzRzmlezfv78e6QEAAAAAAAAA4M+YUQYAAADwLkmSVqxYER4e7qKNRqNRimOKi4szMzNdtFTIspycnKzEjbwAPAAAAAAAAAAAzReFMgAAAIBXaDSayMjIGTNm/OMf/4iJiXHd2GAwxMXFKfGuXbtq7fzixYvFxcXKVeLjm+t65EFBQTv+4/777/d1OgAAAAAaQ1HJtf+fvTuPb6LOHz/+maRN05Y2LYWChbbIUQpSKqKoLKKyWFZ0FUEWUDlXBUHEa1lXPCiV9fjKLoLKAorKqdwLuoDihfBjwaKy5SgVkauF0nL0SJpz5vfHrGO2R1raNEmb1/OPPt4z88ln3plp2pnknc9n+ebx587n+TsRAAAABCmmXgIAAAC86YknnnjiiSfq8cDBgwdv27ZNCLF9+/ZJkyZ5HidGK6YZNGhQmzZt6rE7AAAAAPALRQhZdgmh+DsRAAAABClGlAEAAAACQocOHWJjY9U4OzvbQ0ubzfb555+r8e23397omQEAAAAAAAAA0FwwogwAAAAQECRJuvfeexcvXiyEWLt2bd++fWtqqZXRxMbGJicnHzx48HL35XK5Dh48+P333x86dOjkyZNOpzMuLi4tLe3qq6++7rrrPA9m40eyLB85cuSHH37Izc396aefrFZrVFRU586dr7766uuvv75Vq1Z16aSoqGjXrl2HDx/Ozc01m81GozElJaV79+59+/ZNSEho7KcAAAAAAAAAAPAvCmUAAACAQNG/f3+1UObo0aPnz5+Pi4urttmaNWvUYPjw4ZIkXdYuFEXZunXrkiVLbDab+/qCgoKCgoJt27bp9fqHH374d7/7XbU9v/vuux9//LEa33fffcOHD/ewr4sXL06cONHhcAghIiMjFy1aFBER4d7AarWOGjVKjadOnTpgwAAPaW/fvv2dd96pqKhwX3/+/Pnz58/v2bNn4cKF11577cMPP9y2bduaOikpKXnttddycnLcV9rt9uzs7Ozs7KVLl3bs2PHZZ5+Nj4/38KQAAAAAAAAAAE0aUy8BAAAAgcJkMl111VVq/OWXX1bbpri4+NixY2p80003XVb/FovlT3/604IFCypVybhzuVwLFizIyspyuVxVt44bNy4xMdHlcrlcrmXLluXm5nro57nnnrNarWrjF198sVKVjNZMJctyTV2Zzeannnpq/vz5lapkKsnOzn744Ydr2pqTkzNu3LhKVTKVHDt27MEHH9y1a5eHNgAAAAAAAACAJo0RZQAAAIAAcu+996pTKa1fv37YsGFVh3X5/PPP1SAtLc1kMtW9Z5vNNm3atMLCQnWxdevWY8eO7dmzZ3R0tCRJNpstLy9v8eLFJ06cEEJkZ2fPmTNn+vTplTrR6/VZWVl//OMf7Xa7EOKFF1549913o6Kiqu7uH//4x6lTp9R47NixXbp0qXuq7ioqKqZOnVpcXKwuGo3GP/zhD/369YuLiwsJCVEUpays7OTJk5999tlXX31VUyfHjx+fMWOGtpienj5mzJjk5OTQ0FCn05mfn79ixYo9e/aoW1999dWsrKz09PT6JQwAAAAAAAAACGSMKAMAAAAEkPT0dL1eL4QoLy//8ccfK22VZXnDhg1qPGzYsMvqed68eVqVzODBgxctWtS/f/+YmBidTidJktFo7Nmz5xtvvJGRkaG22blzZ7Xjr5hMpueff16NrVZrZmZm1cFg/v3vf2/btk17RkOHDr2sVN3NmTNHq5JJT09///3377333rZt24aGhkqSpNPpTCZTWlrak08+uWzZsttvv71qDy6XKzMzU1scP358VlZWly5dDAaDJEmhoaEdOnSYMWPGo48+qrWZPXu2WgkEAAAAAAAAAGhmGFEGAAAACCAhISGDBw/evHmzEOLjjz9+8skn3bceOXLEYrEIIfR6/WUNeXL06NFvvvlGjfv06TNx4sSqY9UIIXQ63ZQpU/Ly8o4fPy6EmDt37jvvvFO1ZXp6+rBhw9atWyeEyMvLW758+ZgxY7StxcXFr7zyihpHRUU9++yz1e6rLg4cOLB371417ty588yZM9UqomqZTKZHHnmk6vovvvji/Pnzajxo0KB77rmn2odnZGQUFhauWbNGCGG1WtetWzdq1KhaMzx37tzf/vY3z23MZrMQwmazlZWV1dph0HI6nepPjlLwUE+6Sh0dyo/JwJe08kpOevCoVFNrsVjqfW2AwOF5TszA5HK5+NqoF3mYOxXwpWpnDfYXl9MlQn9dVGRZ/PIfT1EU7+5LUWQhhCzLfrymcr+kd7lcXN0FD/V1599fP/hYpf/75eXlXNIHCe3/VyCcdPWNceGlC1EKZQAAAIDA8rvf/U4tlPnqq68mT55sNBq1TZs2bVKDO+64w0PJSFUrV67U4mnTpnm4q5EkaerUqU899ZQQoqio6PTp04mJiVWbjR49OicnJy8vTwixdu3aXr16paWlCSGcTueMGTO0e5WXXnopPDy87nlWsmLFCi2ePn36ZT1lzYcffqjF48eP99ByxIgRGzZsUN/pW7du3YgRI3S6Wj5MKS8v3759u+c2nTp1EkK4XC6bzVbXpIOVy+UKqLe54TOKovACCTac9GDGsG3Ng/uHo02F+qEyvMXrn/oD9RNQNVuV/s406otEfQ0GzjVV4GQCn+GkBzMu6YNQIJx07/7NoYYeAAAACCzt27dv3bq1Gn/77bfaeovFsmvXLjUeNGhQ3TusqKjIzs5W45tvvjkqKspz+86dO2vVLbt37662jU6ne/HFF7UinszMzJKSEiHEm2++eebMGXXlww8/fOWVV9Y9z0rKysoOHjyoxr169Wrbtm09OikuLi4qKlLjAQMGREREeGhsMBjuuusuNbbb7eqwOgAAAAAAAACA5oRCGQAAACCwSJI0fPhwNVZnAlL9+9//VoP4+Pj27dvXvUP3go+bbrqpLgmow8MIIXJzc2tqFhUVNWvWLDW22+3PP//81q1bv/jiC3XNtddee8cdd9Q9yarc077tttvq18nJkye1uF+/frW2v+GGG7T46NGj9dspAAAAAAAAACBgMfUSAAAAEHB+85vfvP3220KI48ePFxUVqQPMrF69Wt06fPjwy5oR9vTp01qclJRUl4ckJibu3btXCHHkyBEPzVJTUx944IHly5erqao5CyFiY2P//Oc/N3DaWvcalw4dOtSvk/z8fC1OSEiotb37uDUnTpyotb3RaOzRo4fnNurApDqdLiSE+68auVwuRVEkSarfBFtoimRZdh8nnxdI8FAURZ1kjZMePLSTrtLr9X6f2x4NV+sMlQFIknRCBNAULU0dL2MEiMD6n/K/yTRqZpIkKUJIkuTHayr3S3ru5oKKduq5pA8eXNIHM3XS1UB4vXs3B/8/HwAAAACVREVFXXPNNd99950Q4vPPPx85cuSZM2cKCgrUrb/5zW8uq7dTp05p8WOPPaZ+qqFNZ64FQghZltVAu/UtKytTyxdq6nz48OH79+/PyclxX/nSSy+FhYVdVpJVac9XCGEymerXiTYPlBAiOjq61vaRkZFa7F5kU5OEhIT333/fc5uJEycKIYxGY0xMTK0dBq3y8nKr1WowGGqdGgzNhtlsrqioUGOdTscLJHjY7fbS0lJJkjjpwcPhcKhTNKqioqIC4T1WNNAlt6umpkKv1ysUyniPjk/EERgC6n9KpWQknU4ov8SSpFTziPqTJJ3w94V0WVmZzWZTY71ez9Vd8LBareXl5Zz0oGKz2crKyrRFk8nUFMumUQ+yLF+4cEEIER0d7feTHhoaqgZeyYTfYAAAACAQ3XPPPWqwceNGWZY//fRTdfHaa69t0aLFZXWlfRQthLBarRaLxWKxVFRUVFRUWK1Wm81ms9nsdrvdbnc6nS6Xy/0LIrWSJGny5Mnua8aOHZuYmHhZGVZLHYhFpd0FXS6Hw6HFdXn/1P0uS3u/DwAAAAAAAADQbFAoAwAAAASiHj16GAwGIYTFYsnOzt68ebO6XiugqbtG/YKdoijajEuq7du3X1apTU3Up69yr3e5LO4VNnXJyn0imIYPigMAAAAAAAAACDQBNCQdAAAAAI1er7/zzjvXr18vhHjllVfUuWDDwsK6d+9+uV21adNGi1etWhXp1XHy165dW2nepfz8/AULFjz66KMN7DkhIUGLS0tL6zcjj/tzLysrq/W5m83mahMAAAAAAAAAADQPjCgDAAAABKiMjAw1UKtkhBC///3v9Xr95fZz5ZVXanFRUZFXclPl5eUtW7ZMjZOTk9PS0tT4008//X//7/81sPOkpCQtPnHiRP06ad++vRYXFBTU2r6wsFCLk5OT67dTAAAAAAAAAEDAolAGAAAACFAJCQlXXHGF+5rbbrutHv106NBBi/ft29fArDRms/n5559X45CQkKysrOeee04b9+XVV19tYFGOe9rbt2+vXyfu1Ta7d++utf3evXu1uFOnTvXbKQAAAAAAAAAgYFEoAwAAAASu4cOHa3G7du0q1c3Ukclk6tatmxqvXr1aG5+mIRRFyczMrKioUBdfeOGFmJiY8PDwl156SWswY8aMhuwrKioqNTVVjbOzs93Heqm71q1bt2rVSo0//fRTq9XqobHD4di0aZMaGwyGjh071mOPAAAAAAAAAIBARqEMAAAAELgGDhy46RcLFiyodz9jxoxRg4qKisWLFzc8sZUrV+bm5qrxkCFDrr76ajW+8sorH3roITU+e/bs/PnzG7KX0aNHa/GcOXNkWa5HJyNGjFADRVFWrlzpoeWGDRtsNpsa33333Todt0sAAAAAAAAA0Nzwzi8AAADQ/F111VX9+vVT4y1btixZssTlcnl+SHFx8bJly8xmc9VNBw8e/Oijj9S4c+fO48aNc9965513XnvttWr85Zdffv311/VOOy0tTesqNzf3pZde8jAkjNlsfvfdd6uuHzhwYGxsrBpv3Lhx27Zt1T58x44dy5cvV+OwsDD3sXwAAAAAeFFMVLsxdy+Nj+vq70QAAAAQpCiUAQAAAILCtGnTtJmbNm7cOHr06E8++eTs2bN2u11dKcuy2Ww+ceLE1q1bH3/88QkTJqxZs6bqIC5lZWUzZ85U47CwsJkzZ1YaeUWSpOnTp5tMJnVxzpw5Z8+erXfaTz/9tFbmkp2dPX78+M2bNxcXF6uFPoqimM3mI0eOvPXWW6NGjfrnP/9ZtQe9Xv/8889ri2+99dbs2bNPnDihTgvlcrlOnz49Z86c119/XWvzzDPPGI3GeucMAAAAAAAAAAhYIf5OAAAAAIAvhIWFvfHGG1lZWTk5OUKI8vLyhQsXXm4nsiy/+OKL2vxEL7zwQnR0dNVmRqPxr3/965QpU9TFGTNmLFiwwGAw1CPtiIiIN99885lnnjl16pQQwmw2L168+HJnj+rcuXNmZmZmZqZa97Nnz549e/bU1PjJJ5/s3bt3PVIFAAAAAAAAAAQ+RpQBAAAAgoXRaHzppZeee+45bbiXmkiSlJGRMX/+/KioKPf1S5cuPXr0qBoPHz48LS2tph4SExO1QpmioqK5c+fWO+2oqKj58+dPmDAhJMRToX96evrbb79d09ZevXq99957qampHnpISkpatGjRLbfcUu9UAQAAAAAAAAABjhFlAAAAgCAiSVKfPn2WLl168uTJb7/99scff8zLy7t06ZIQIj4+PjExsVOnTj179kxJSQkNDa302P37969fv16NU1JSHnjgAc/7ysjI+O6773bv3i2E2Llz5zXXXDNw4MD6pa3T6YYMGfL73/9+//79P/zww6FDh06cOGG321u2bNmpU6f09PTrr78+Pj7ecyexsbGvvfbauXPndu7ceejQocOHD5eXl0dERHTt2rV79+59+/Zt3759/dIDAAAINlGd23V7dEitzaxWa1hKpFGvrzRZp18Yo5J0IeH+zqL5GNSt1flEper6AzrJ/kvcoXPLgXd09WVW8CO73S7Lsl6vr3ov2ahiuoQnt23pyz16kBBhjA6N0RZDdZIQv3xNRZGkjq29uC+90abraJFaxNTeFAAAVCEpSjXXsgAAAAAAr5g4ceK+ffsmT548YcIEf+cSuMrLy61Wa1hYWKVBjNCMmc3miooKNdbpdC1bBsrHG2hsdru9tLRUkqS4uDh/5wIfcTgcJSUl2mJMTIznUeLQnBQXFwshTCaTjz84hx9FRkZaLBY1fu6557KysvybD3ymtLTUbreHh4dHRkb6Oxf4SFlZmTY1c0hISEwMVTvBwmq1lpeX6/X62NhYf+cCH7HZbGVlZdpiy5YtA6EMGj4gy/KFCxdEYJx0s9l88803CyFWr17dsWPHBvbGbzAAAAAAAAAAAAAAAACCAt/eAAAAAALIuXPnvv/++0OHDv3000/nzp2TZdlkMiUmJnbo0KF79+5du3Y1mUy19wIAAACgJrLsLCmtdotk0EkRPhr8psIlXLLk9W6dTkko3u+27txHsLdZnSWXrH5LpV4knWKIrOsB1MuuUNnVwD06rLLT2hwG/reWlTkcDslo00XYa28dMAwxLfRhDHkFAEDQoVAGAAAACAjHjh178803jx49Wml9UVFRUVHRd999t379eiFEUlLSXXfd1a9fv4iICH+kCQAAADRtzgsX84b9sdpNMdMGSL8L800aH/2UdPjSRa93a81PPHDC4fVu687mlLX4s4/zCn9c48dk6uGKpKhrHzfXsXEHqcU1P/yzgXs8dyb500d3NLAT1FvGllfaDbrO31kAAABfY+olAAAAwM8URVm1atXjjz9etUqmqpMnT7755puPPPKIDxIDAAAAAAAAAKCZYUQZAAAAwM8+/vjjVatWaYtpaWnDhg3r1KlTixYtdDqdLMulpaUnT5786quvPv/8cz/mCQAAAAAAAABAU0ehDAAAAOBPhYWFixcv1hZnzpx5zTXXuDfQ6/WxsbGxsbHp6ekTJ07cvHnzihUrfJ4mAAAAAAAAAADNAVMvAQAAAP60Zs0aLX700UcrVclUYjQahw8fvnLlyltvvbXxUwMAAAAALyspy1++efy583n+TgQAAADBi0IZAAAAwG8URdm+fbsa63S63/72t3V5VERExLhx4xoxLQAAAABoHIoQsuwSQvF3IgAAAAheFMoAAAAAflNaWirLshp369ZNr9f7Nx8AAAAAAAAAAJq3EH8nAAAAAASviooKLY6OjvZu54qinDx58j//+c+hQ4d++umnCxcuhISEtG/fvkuXLr179+7Zs6fBYKhHty6X6/vvv9+xY8fhw4fPnz9vMpm6d+9+2223paenS5JUqfGFCxe+/vrrvXv3njhxwuFwXHnlldddd11GRobJZLqsnRYVFe3atevw4cO5ublms9loNKakpHTv3r1v374JCQl17KSRDggAAAAAAAAAoAmhUAYAAADwm5CQXy/Ijx8/7q1uzWbzZ599tnbt2tLSUvf1drs9Ly8vLy/vk08+kSRp8uTJGRkZVatbNIWFhZMmTVLjWbNmpaWlHTt27IUXXnDv9vz58998880333yTnJz817/+NSoqSl3vcrneeeedTz75xL3D3Nzc3NzcZcuWTZ069bbbbqvLcykpKXnttddycnIqPZHs7Ozs7OylS5d27NjhVoy+AAAgAElEQVTx2WefjY+P98EBAQAAAAAAAAA0dUy9BAAAAPiN+8AqZ86cKSoq8kq306dPX7JkSaWikEoURXnrrbcyMzO1uZ+qbeP6hRAiJyfn8ccfr6nbEydOTJs2zW63CyGcTuef//znSlUy7ubPn//ZZ5/V+kRycnLGjRtXqUqmkmPHjj344IO7du3y0MZbBwQAAAAAAAAA0NQxogwAAADgN6Ghoampqbm5uepiVlbWyy+/HBkZ6ZXOk5OTf//733fr1i0uLi48PFwI4XK5Ll68uHfv3g8++MBqtQohvvvuuxUrVowePbrW3n744Yd169YJIa699tr7778/MTExNDTU4XAcO3Zs7ty5BQUFQoji4uJ33333kUcemTNnTl5eXlhY2IQJE2644QaTySRJUmlp6datW1esWKF2OH/+/BtvvLFFixY17fH48eMzZszQFtPT08eMGZOcnBwaGup0OvPz81esWLFnzx5166uvvpqVlZWenu6zAwIAAAAAAAAAaIoYUQYAAADwp/vuu0+Ljx8//sADDyxbtiw/P19RlHr32bt377fffnv+/PkZGRmJiYkRERGSJEmSFBIS0rp16zvuuGPZsmXdunVTG69Zs+bixYu19rlmzRpZlidNmvTCCy906tTJYDBIkmQwGFJTU+fNm6fNfLRly5ZVq1bt2rUrISFhyZIlt99+e2xsrE6nkyTJZDKNGDHiqaee0vrcvHlzTbtzuVyZmZna4vjx47Oysrp06aLuNzQ0tEOHDjNmzHj00Ue1NrNnz1bHs/HNAQEAAAAAAAAANEWMKAMAAAD409VXX33jjTfu3r1bXXS5XGvWrFmzZo1er+/du3daWlpKSkr79u2joqLq3ueECRM8NwgLC3vxxRfHjh1rs9mEEFu3bh01alSt3d5+++2DBw+uut5gMEyePHnmzJnq4qpVq4QQL7/8crU59+/ff/ny5YWFhUKIf/3rXzXt94svvjh//rwaDxo06J577qm2WUZGRmFh4Zo1a4QQVqt13bp11XbYSAdECGGxWPbt2+e5jcPhEEK4XK6a6ngghFBnvJJlmaMUPNQ53VSKonDqg4fT6VQDTnrwcH+9CyEcDgcTHQYbh8PRkCpwr3M5HDVtUhRF8lUajXRMAupQN0WXdQBlxQt/zRT+JPqV0+nkmqTe3P+hc0kfVNRLek56UNHu41QOh0OSfHbRBH/SLo0C4aRrf3O8csVLoQwAAADgZ9OnT1+0aNGWLVvcV7pcrr179+7du1ddbNWqVUZGxoABA7SxWxooIiJi6NChalFLHetCxo4dW9OmHj16uC8OHTo0Nja22paSJN1xxx1LliwRQpSUlJSVlVVbT/Phhx9q8fjx4z1kNWLEiA0bNqi36+vWrRsxYoROV5+BM+txQIQQZ8+efeKJJzy36dSpkxDCZrOVlpbWI7Gg4nA4HDV/cIVmTFEUXiDBhpMezMxms79TgK9ZLBZ/p/A/5LKymjY5nS6Dr9KoVEPmLRSiNdBlla145SQ6G+c3AXVksVi4JvEKl8vFkQw2sixz0oNWWc1XU2iuAuGka7cVXimUYeolAAAAwM/0ev0jjzwyb968Xr161dSmuLh45cqVDz744KxZs7z1NoS2u4sXL1qtVs+Nr7322oiIiJq2GgyGNm3aaIu//e1vPXSVkpKixZcuXaraoLi4uKioSI0HDBjgYb/qru+66y41ttvtx48f99DYs8s6IAAAAAAAAACApohCGQAAACAgdOjQITMzc9myZU8//XSfPn30en21zbKzs8eMGXPo0KGG79FkMmlxSUmJ58a9e/f23CAhIUGLr7jiijrut9pCmZMnT2pxv379PO9XCHHDDTdo8dGjR2ttX5fEaj0gAAAAAAAAAICmiKmXAAAAgABiMpn69+/fv39/RVHKysoKCgoOHjy4ffv2/Px8rY0sy88888zixYvdB3GpSlGUU6dOHThw4ODBg/n5+WfPnrXZbO4N3EdlLy0t9dyb561CCG3cl7CwsJAQTzcaYWFhWlztPDvuT9a9/qYmbdu21eITJ07U1My7BwQAAAAAAAAA0BRRKAMAAAAEIkmSoqOjo6OjU1NThw0bdvbs2X/84x/fffed1uDll1+eO3duTQ//9ttvFy5ceO7cuTruzm63e27gXt1SLZ3uv8NVGo3GOu60JmfOnNHi6OjoWttHRkZqsXuRjTuvHxBV+/bt169f77nNrFmzhBBGozE2NraOew9CFovFZrMZDAb3s4nmraKiQpvjTKfTuQ/phObN4XCUl5dLkhQTE+PvXOAjTqfTfT776OjomkbOQ/Nz8eJFIURUVJTnQmofc7rk4ho2+TJPfUijvBB0Op0Qcu3tUAPd5fyBCtF74RcmNJBeHUGoRYsW3KnVm9ls1u6d9Xp9Xe7f0TzYbDaLxcJJDyp2u91sNmuLJpNJeycQzZssy+rA24Fw0g0GgxpIktTw3rgCAwAAAJqAtm3bzpw584MPPli3bp265tixYwUFBdUOuLJo0aKPP/7Ytwn+quG3TO7DzNTlswr3PVYaJEbVeAfEYDAkJSV5bqN+FqjT6fhQ0AP1/laSJI5S8Kj0pganPni4XC414KQHD/cx2wT/E4NSoJ10peZkvPGWe11JolF25pWPDVBH3jnanDK/CrQ/UE2L+0uAu7mgor0Pw0kPHpXe7tPr9X6vmYBvaH/qA+Gka39zKJQBAAAAgsvo0aO/+OIL9Yu5QohDhw5VLZT56quvtKIQnU5355133njjjQkJCZGRkSEhIZIkaTcSBQUFkyZN8lnydRcaGqrF2uepHrh//FZ15JtmcEAAAAAAAAAAAN5CoQwAAADQZOh0usGDB69YsUJd/Pnnnys1cLlcCxcuVOPo6Oj58+d7GES6LjUoftGmTRstLisrq3UuHvehXytVDjWPAwIAAAAAAAAA8BbGRAIAAACakvbt22txRUVFpa0FBQVa1chjjz3mear1wsJCr6fnFe7PsaCgoNb27k8kOTnZfVPzOCAAAAAAAAAAAG+hUAYAAABoSsrLy7XYZDJV2nr69GktTk1N9dzVvn37vJiYFyUlJWnx7t27a22/d+9eLe7UqZP7puZxQAAAAAAAAAAA3kKhDAAAANCUfPvtt1qckpJSaavNZtNivV7voR+bzbZt2zbv5uYtrVu3btWqlRp/+umnVqvVQ2OHw7Fp0yY1NhgMHTt2dN/aPA4IAAAAAAAAAMBbKJQBAAAA/MZisWzcuNHhcNSxfUFBgfvoKVWHSNHqS4QQJ0+e9NDVkiVLnE5nnTP1tREjRqiBoigrV6700HLDhg1aNczdd9+t0/3PPU6zOSAAAAAAAAAAAK+gUAYAAADwpyVLlowaNWrdunUWi8Vzy7Nnz06fPl1bvPHGG2NjYyu1SU5O1uI333yz2soPRVE++uijLVu2NCDrRjdw4EDt2W3cuLGmsV527NixfPlyNQ4LCxs+fHilBs3mgAAAAADNQ0xUuzF3L42P6+rvRAAAABC8KJQBAAAA/Mxut3/wwQcjR4586aWXdu7cmZ+fr002pCiKxWLJzc2dO3fuww8/XFpaqq6PioqaNm1a1a6ioqJ+85vfqPGpU6emTJmyf/9+rTeLxbJ///6nnnpqxYoVQoh777230Z9bfen1+ueff15bfOutt2bPnn3ixAm10sXlcp0+fXrOnDmvv/661uaZZ54xGo2V+mk2BwQAAAAAAAAA4BUh/k4AAAAAwH/t3bvXfWalmsTGxr7++usRERHVbp06der+/fvLy8uFEGfOnHEvN3E3ZcqU9PT0tWvXNiThRtW5c+fMzMzMzExZloUQe/bs2bNnT02Nn3zyyd69e1e7qdkcEAAAAAAAAABAwzGiDAAAAOA3ERERS5YsmTBhQrt27erSPjw8/KGHHnrnnXdat27toc8FCxakpKTU1MBoNM6cOXPQoEH1ydi3evXq9d5776Wmpnpok5SUtGjRoltuuaWmBs3pgAAAAAAAAAAAGogRZQAAAAB/atWq1ZAhQ4YMGVJWVvbjjz8eOXLk+PHjp0+fLiwsdDgcRqPxiiuuaN++fefOndPT05OSkvR6fa19mkym//u///vxxx+/+uqrAwcOnDp1SggRHx/fvXv3G2+8sVevXqGhoY3/zLwjNjb2tddeO3fu3M6dOw8dOnT48OHy8vKIiIiuXbt27969b9++7du3r7WT5nRAAAAA0GCSLrL60RklXagkGXyThEGvN+q9fxWqhOgjwxSvd1t3klscEqoLj2hiV9pGY0iorq4564VOhIQ3dJdSaGh09b+QTYui/PcXT5Ikzy0Dii6k9ltsAADQ/EjatQsAAAAAwOsmTpy4b9++yZMnT5gwwd+5BK7y8nKr1RoWFhYVFeXvXOAjZrO5oqJCjXU6XcuWLf2bD3zGbreXlpZKkhQXF+fvXOAjDoejpKREW4yJiQkJ4ct7waK4uFgIYTKZqEsOHpGRkRaLRY2fe+65rKws/+YDnyktLbXb7eHh4ZGRkf7OBT5SVlZms9nUOCQkJCYmxr/5wGesVmt5ebler4+NjfV3LvARm81WVlamLbZs2VKnY+KaoCDL8oULF0RgnHSz2XzzzTcLIVavXt2xY8cG9sZvMAAAAAAAAAAAAAAAAIIC394AAAAA4DtWq3XUqFFqPHXq1AEDBvg3HwAAAAAAAABAUKFQBgAAAGiQUaNGWa3Wajfp9frIyMikpKTk5ORrrrmmW7du4eENnsC+6XO5XGogy7J/MwEAAAAag6Po/JlX5/s7i//afd8tZw1KpZV5hxprsgy769d9/fubk/838/NG2lHT1SohrPPv7Z7bdIuVdJKl6npJkWL2HfZiMj9scBYduOCVrpxOp6IoOp1Or9c3pB9dWOjAf77klZQAAABqQqEMAAAA0CAul0ur/Ki6yW63X7x4cf/+/Zs2bRJCDB06dOTIkUaj0bc5AgAAAPAdxWor//YHf2fxXyeH9jpqNruv0UnS3p8rl854i6z82nNxYfmBHwoaaUdNV7I5Jqqi1HObLjGhinyx6npJhCjnDnoxmZKD+vxPj3mxw4YLiQjzdwoAAKD50/k7AQAAACCIrF+//qGHHrp06ZK/EwEAAAAAAAAAIBgxogwAAADgNRs2bHAfZVpRFIfDcfbs2X/961//+te/1JUlJSUzZsyYN29eA8ejBgAAAAAAAAAAl4tCGQAAAMBrJEmqtGgwGJKSkiZNmjRgwICnn35aXX/q1KmdO3fefPPN/sjRz4xGozoLFQAAAAAAAAAAvsfUSwAAAIAvpKSkjB49Wlv88MMP/ZgMAAAAAPhFSVn+8s3jz53P83ciAAAACF4UygAAAAA+ctttt2lxfn6+3W73YzIAAAAA4HuKELLsEkLxdyIAAAAIXky9BAAAAPiIyWSSJElR/vuO8KVLl+Lj4/2bUr0pinLgwIEdO3b85z//OX/+fHh4eNeuXa+77rqbbropIiLCu/sqKiratWvX4cOHc3NzzWaz0WhMSUnp3r173759ExISAjx5AAAAAAAAAEBAoVAGAAAA8BFJklq0aFFWVqYu2my2xtjLN99887e//U2NV6xY4bnyIycn54UXXlDjRYsWtW7dumqbwsLCSZMmqfGsWbPS0tLOnj37wgsvnD17Vmtjt9v37t27d+/et99++6mnnurfv39Ne7RaraNGjVLjqVOnDhgwwEN6JSUlr732Wk5OjvtKu92enZ2dnZ29dOnSjh07Pvvssx7qjbybPAAAAAAAAACgqWPqJQAAAMBHFEUpLy/XFsPCwhppL65f1KW91lgb6sZzh0ePHp04caJ7oUmlxq+//vqWLVvqskdZlj00y8nJGTduXKUqmUqOHTv24IMP7tq1q6YGXk8eAAAAAAAAANCkMaIMAAAA4COlpaXuxSgmk8mPydTPgQMH1qxZoyhKamrqmDFjOnbsGB4erihKcXHxmjVrtm3bpjZbsGDBjTfeGBMTU+8dHT9+fMaMGdpienr6mDFjkpOTQ0NDnU5nfn7+ihUr9uzZo2599dVXs7Ky0tPTAyR5AAAAAAAAAEDAYkQZAAAAwEc+++wzLU5JSWmkEWUa1apVq5xO55gxY1599dUePXpERERIkqTT6eLj46dMmfLQQw9pLdetW1fvvbhcrszMTG1x/PjxWVlZXbp0MRgMkiSFhoZ26NBhxowZjz76qNZm9uzZdrs9EJIHAAAAAAAAAAQyCmUAAAAAXzh27NjSpUu1xbFjx/oxmYYYMGDAvffeK0lS1U133nln69at1Xjbtm01zeVUqy+++OL8+fNqPGjQoHvuuafaZhkZGcOHD1djq9Val+oWHyQPAAAAAAAAAAhkTL0EAAAANCKn03nu3LmtW7du3LhRW3nrrbempaX5MauG+OMf/1jTJkmShg4dunDhQiGE1Wq9cOFCXFxcPXbx4YcfavH48eM9tBwxYsSGDRucTqcQYt26dSNGjNDpPH0ZwOvJHz9+fMKECZ7bxMfHCyEsFotW/YOq1Mokm81W68hAaDbcy9FkWeYFEmwUReGkB62SkhJ/pwBfKy0t9XcKvua6dMnfKfzK5XL5OwX8D5fLWXsbp0unr2a91wv6A/DXg4uEJsrpdHLigof6t8jlcnHSg9bFixf9nQJ8LRBOusViUQNZlhveG4UyAAAAgNcMHTrUfbSSat9zvPfee0ePHu3DpLypV69eUVFRHhp069ZNi+tXKFNcXFxUVKTGAwYMiIiI8NDYYDDcdddd69evF0LY7fbjx4937NixpsaNkbwsy7V+8KMNVMMoNXXBUQpanPogxEkPWpz6IBSEJz2gnrKiKKKaERXhNwH0yxGoAuoVhLrjxAUhTnrQ4tQHoUA46d7NgamXAAAAAK+RZdnlptLWfv36LVmyZMyYMdVO/dMkXHfddZ4bmEwmLb5Ur+/Rnjx5Uov79etXa/sbbrhBi48ePeqhpQ+SBwAAAAAAAAAEOAplAAAAAB/ZvXv3zz//7O8sGqRt27aeGxgMBi2u3xw6+fn5WpyQkHBZKZ04caKOLavV8OQBAAAAAAAAAAGOqZcAAAAAr9mwYYNe/+tM8i6X68KFCzt37vzggw/UwWaysrImTpx4xx13+DHJhggLC2vsXZw5c0aLo6Oja20fGRmpxe5FNlU1RvIxMTETJkzw3GbPnj1CiNDQUM/TSAU5u93udDpDQkLcy5XQvKknXY0lSQoPD/dvPvAZl8tls9k46UFFlmWr1aotGo1GnY4v7wULi8UigvKkO4xGf6fwK51Ox2Q/AUUn1f5y0OmqH4XU62OTBuBwp5IkcevUVLhf0ut0OmMg/elDo3I6nXa7nZMeVNT7OG0xPDw8AP+DoDEoilJRUSGa40mnUAYAAADwmkp3C3q9vnXr1vfcc0+/fv2mTJmifkS0cOHClJSULl26+CnHQOdwOLQ4JKT2Gxb3D13c79h9o2XLlpMnT/bcZv/+/YJCmdrIsux0OvV6PUcpeCiK4l4ow6kPHna7Xf1zzUkPHg6Ho1KhTF3+xaN5UAtlwsLCQkND/Z2LT9kDqRZQp9OJyrPCwp/qUjcm6XRKteVN3v6AKjCL2LhIaCpcLpd7oQwnLnhYrVa73c59XFCx2WyVCmUC8z8IvE6WZa1Qxu8nXfnl8sgrmfAbDAAAADS61q1bZ2Zmaot//etfXS7eq66e+4codTlKsixrsQ8GvAEAAAAAAAAANGkUygAAAAC+0K1bt4EDB6rx+fPnN2zY4IOdKtV/CfFXAViv06ZNGy0uKyurtb3ZbNbihISERskJAAAAAAAAANBcUCgDAAAA+Mj48eO1ePny5eqolV6n1+u1uNY6mOLi4sbIoSHat2+vxQUFBbW2Lyws1OLk5ORGyQkAAAAAAAAA0FxQKAMAAAD4SFRU1NChQ9VYluVNmzY1xl6io6O1uNYRWQ4cONAYOTREUlKSFu/evbvW9nv37tXiTp06NUpOAAAAAAAAAIDmgkIZAAAAwHeGDRumxatWrbJarV7fRatWrbT4559/9tDSbrd/9dVXXk+ggVq3bq09hU8//dTzIXI4HFq9kcFg6NixY6PnBwAAAAAAAABoyiiUAQAAAHwnKirqjjvuUGNZlj/55BOv7yI+Pl6SJDX2PGjNRx99JMuy1xNouBEjRqiBoigrV6700HLDhg02m02N7777bp2OGxwAAAAAAAAAgCe8jwwAAAD4lFYFIoRYvny5VufhLXq9vl+/fmqcm5u7Z8+eapt98cUXa9as8e6uvWXgwIGxsbFqvHHjxm3btlXbbMeOHcuXL1fjsLCw4cOH+yg/AAAAAAAAAECTRaEMAAAA4FMxMTEDBw5UY5fLtXXrVq/vYvTo0Vo8e/bsVatWXbp0SVEUIYTNZvvxxx9nzpw5d+5cvV4fmMUler3++eef1xbfeuut2bNnnzhxwul0CiFcLtfp06fnzJnz+uuva22eeeYZo9Hoh1wBAAAAXI6YqHZj7l4aH9fV34kAAAAgeIX4OwEAAAAg6Nx3333bt29X42XLlt1+++0Gg8GL/bdt23bUqFGrVq1SF1etWqXF7l555RW73R6Y48p07tw5MzMzMzNTnRxqz549NQ2NI4R48skne/fu7cPsAAAAAAAAAABNFSPKAAAAAL7WqlWr/v37q7Hdbv/ss8+8vouRI0dOmjTJQwJvvfVW164B/SXOXr16vffee6mpqR7aJCUlLVq06JZbbvFVUgAAAAAAAACApo0RZQAAAAA/GD169I4dO9T4gw8+yMjICA0N9WL/kiQNHjz4pptu2rFjx7fffnvkyBGLxdKqVaurrrrqlltuSU9P1+v1XtxdI4mNjX3ttdfOnTu3c+fOQ4cOHT58uLy8PCIiomvXrt27d+/bt2/79u39nSMAAAAAAAAAoCmRFEXxdw4AAAAA0GxNnDhx3759kydPnjBhgr9zCVzl5eVWqzUsLCwqKsrfucBHzGZzRUWFGut0upYtW/o3H/iM3W4vLS2VJCkuLs7fucBHHA5HSUmJthgTExMSwpf3gkVxcbEQwmQyebcoPPDJFVbzvv3+zuK/znZsYwn7nxedoiiXLoY30u5uT0+2VljU+MEJ0x55+KlG2lHTZYiQWnaspY0pTNZLctX1kiIMRRe9mEzhYYe9zOGVriwWi9PpNBgMRqOxIf1Ien3inTd4JSU0trKyMpvNpsYhISExMTH+zQc+Y7Vay8vL9Xp9bGysv3OBj9hstrKyMm2xZcuWOh0T1wQFWZYvXLggAuOkm83mm2++WQixevXqjh1ru5yqDTelAAAAAAAAAAB4jS7cGNXven9n8V/VlyG3aqzd6aRf47YJUddcn9hYewpaV3TwYmdtr/BaV6WlpXa7PTw8PDIy0mudAgAANA5KvQAAAAAAAAAAAAAAABAUGFEGAAAAAAAAAIDAUvrFTsXlqt9jDX3aikh/fUtW0aKfzlu2HDrrpzSajJhol85Qz8mPIkJ0JoMshIirKI+wlqsrL56ULx6vqEdvIeGG5KE31S8TAACApoVCGQAAAKDpGTVqlNVqVeN169b5fYJYAAAAAN5V8Oqb8i/X/Jer1cYRLnupd/OpK0nWwq+OXjiy+ZB/0mg67vpNSIFyun6P7R7Tql1kkRDiOrMt8ehOdeX5nCt2zvx3PXqLSIijUAYAAAQJCmUAAACApsflcrnq++1SAAAAAAAAAACCFl88BQAAAAAAAAAAAAAAQFBgRBkAAAAgIOTm5k6fPr0eDxwyZIgQ4oorrli4cKG3kwIAAAAAAAAAoFlhRBkAAAAAAAAAANDorOdOfD9jUPnxA/5OBAAAAEGNQhkAAAAAAAAAAND4FEVxOYWi+DsPAAAABDWmXgIAAAACQmpq6qZNm+rY+A9/+IPValXjjRs36nRUwAMAAAAAAAAAUDsKZQAAAIDmz+VyHTx48Pvvvz906NDJkyedTmdcXFxaWtrVV1993XXXGQyG+vWZk5Oza9euQ4cOnTt3zul0du/effbs2ZWanTt3bt++fT/88MOJEyeKi4t1Ol3r1q07duzYo0ePXr16xcfH+yt/AAAAAAAAAEAQolAGAAAAaM4URdm6deuSJUtsNpv7+oKCgoKCgm3btun1+ocffvh3v/udJEk1dVJYWDhp0iQ1njVrVlpaWl5e3qxZs0pLS92bORwO98WysrK///3v2dnZlXo7derUqVOnvv76ayFEt27dHnzwwS5dujRS/lu2bFm0aJEaz5s3LzExsaYdaVwu1/3336/uLjU19eWXX671IQAAAAAAAACApoIR2gEAAIBmy2Kx/OlPf1qwYEGlKhN3LpdrwYIFWVlZLperpjaKorh+IYTIzs5++umnK1XJVFJSUvLQQw9VrZKp5PDhw0899VRFRUUj5X/zzTdrmddxZqvvvvvOYrGoDxk+fHhdHgIAAAAAAAAAaCoYUQYAAABonmw227Rp0woLC9XF1q1bjx07tmfPntHR0ZIk2Wy2vLy8xYsXnzhxQgiRnZ09Z86c6dOn19rtvn37NmzYIITo3LnzuHHjOnfuHB4erijKuXPndu3apTXLzMy0WCxqfOONNw4dOrRdu3YRERGSJMmyXF5erg4qs23btkbNPyIi4tZbb/3yyy+FENu2bfvjH/9oNBo9P8EVK1aoQVhYWHp6eq0HBAAAAAAAAADQhDCiDAAAANA8zZs3T6syGTx48KJFi/r37x8TE6PT6SRJMhqNPXv2fOONNzIyMtQ2O3fuzMnJqbXb9evXK4oyZMiQOXPm9OzZU6190el0bdu2HTZsmNomPz//6NGjanzffff95S9/6dq1a4sWLdRd6/V6k8nUo0ePKVOmfPTRR/fff3+j5j906FAt3rlzp+dnd/bs2WPHjmkP1Ov1tR4QAAAAAAAAAEATwogyAAAAQDN09OjRb775Ro379OkzceJESZKqNtPpdFOmTMnLyzt+/LgQYu7cue+88061Ld2lp6ePHz/eQ5hCP5AAACAASURBVLMff/xRi7XqmWqFh4ePGDGiUfNPTk5u165dfn6+EGLVqlW//e1vPWT+ySefaPFtt93mIXPV+fPn33//fc9t1JF17Ha72WyutcOg5XQ61Z8cpeDhcDi0WFEUTn3w0GbK46QHD1mW3RcrKip0Or68F1ysVqvdbvd3FsGl0usOgczlctX7G80u+b//VWXXr2fcPb4sDbwkU//FOxwO/sUHD/U+TiXLMqc+eKivd+7jgkqlGc8tFkut7x+ieVAURQ0C4aRr45d75VqXQhkAAACgGVq5cqUWT5s2zcNtjCRJU6dOfeqpp4QQRUVFp0+fTkxM9Nz5pEmTPN8XnT9/Xg2MRmNoaOhl5P0L7+b/wAMPvPrqq2qDn3/+uWPHjtV2ZbfbN2/erMapqamtWrWqNc+SkpJVq1Z5btOpUychhNPprKioqLXDIOdyuThKwUlRFE59sOGkBzObzebvFOBrnPT60T6WqM9j5fo/Fj4my3K9C2W0T4ncPy5y1fejI6/8d3Y6ne7FEwgesixzdRdsOOnBzGq1+jsF+FognHTv/s3h2xsAAABAc1NRUZGdna3GN998c1RUlOf2nTt3Dg8PV+Pdu3d7bhwfH9+uXTvPbbQ9Wq3Weny7yOv59+nTR5tEaf369TX1s2fPHu395ZEjR15u2gAAAAAAAACAwEehDAAAANDcqPMQqW666aZa20uSlJaWpsa5ubmeG9elwy5dumjxK6+8oo2KWUdezz80NPSee+5R4x07dtSUjzaMTVhYWHp6+uWkDAAAAAAAAABoGph6CQAAAGhuTp8+rcVJSUl1eUhiYuLevXuFEEeOHKm1Za29dejQoV27dvn5+UKI/fv3jxw5sl+/frfffnunTp0iIiJqfXhj5D948OC1a9eq8VdffTV48OBKDU6dOqUmLIQYOnSoNgKNZyEhIW3atPHcRqfTCSEkSVIDVEtRFEVRJEny+2zH8Bn1pGuLvECCh3bqOelBxX1OEE59UFFPPf/iAU8a8OKQtAe7vcQa8mpryJ9oXu9BiEv6oMUlfRDi9R7M1H/xgXDSvZsDhTIAAABAc3Pq1Cktfuyxx9RbCPVuVrutVX/KsqwGLpdLbV9WVqbWK9TUeWxsbK0JSJKUmZk5depUbeLYnTt37ty5UwgRFxfXp0+f6667rlu3bpGRkT7Lv1WrVmlpaTk5OUKIVatW3X777ZXa/POf/9TijIyMWp+jKikp6ZNPPvHcZuLEiUKI8PDwli1b1rHbIFReXm61Wg0GQ60zbaHZMJvN2p8InU7HCyR42O320tJSSZI46cHD4XCUlJRoi9HR0SEhvCcZLIqLi4UQ0dHRoaGh/s6l6TknSUrtraqnD9G7vJkLGlFoSKio75nW/pyGhOirrrxcDbwkKy0ttdvtRqOxphs9ND9lZWU2m02NQ0JCYmJi/JsPfMZqtZaXl+v1+rq8R4TmwWazlZWVaYsxMTGBUDYBH5Bl+cKFCyIwTnpYWJgaeCUTbkoBAACA5kb77FkIYbVavdt5Hd91jY+Pf++995YsWfLpp5+6rz9//vyWLVu2bNkihLj22mvHjRtXdcyYRsp/5MiRaqFMSUnJkSNHUlNT3fei5dmtW7e4uDhv7RQAAAAAAAAAEFAo9QIAAACamwD5lnZERMSjjz764YcfPvPMMzfddJNW8q/Jzs5+9NFH33//ffexW0Wj5d+jRw9ttBJtGiaVOtqNauTIkY2xdwAAAAAAAABAIAiIN9ABAAAAeFGbNm20eNWqVf4d+DoiIqJv3759+/ZVFOXSpUvHjh375ptvvv76a22ypPXr1yclJQ0YMEB7SCPlL0nSqFGjFi1aJITYu3dvaWlpdHS0EEJRlJUrV6ptwsLCevbs6ZXdAQAAAAAAAAACECPKAAAAAM3NlVdeqcVFRUV+zMSdJEmxsbG9e/d+/PHH16xZM2HCBG3TokWLZFnWFhsvf/dynM8//1wNjh07VlxcrMZDhw7V6/Ve3CMAAAAAAAAAIKBQKAMAAAA0Nx06dNDiffv2+S+RGoWEhAwZMiQjI0NdtFgsFy5c0LY2Xv4RERG33nqrGq9evVqtzlm3bp3WQEsJAAAAAAAAANAsUSgDAAAANDcmk6lbt25qvHr1aqfT6d98atK3b18tLisr0+JGzX/o0KFqYDabDx48aDabd+7cqa656qqr4uLivLgvAAAAAAAAAECgoVAGAAAAaIbGjBmjBhUVFYsXL/ZvMjVxH0WmRYsW7psaL//k5OSEhAQ1/vDDD7/88ktt04gRI7y4IwAAAAAAAABAAKJQBgAAAGiGrrrqqn79+qnxli1blixZ4nK5PD+kuLh42bJlZrO54XtfvXp1Tk6O5z1WVFQsW7ZMjY1GY6tWrdy3Nmr+DzzwgBrk5OS8++67Wg5paWm1PhYAAABAvRnbdLjmlc9bXMmFNwAAAPwpxN8JAAAAAGgU06ZN++mnn86cOSOE2Lhx4/bt2++///7evXu3bNnSYDAIIWRZrqioKC4uPnz48NatW48dOyaEGDJkSMN3/dNPPy1fvtxgMGRkZFx//fWJiYlRUVGhoaFCCJfLVVpaun///nfffbekpERtP2nSJEmSfJb/9ddfr9fr1cobrf5m6NCher2+4c8dAAAAAAAAABDIKJQBAAAAmqewsLA33ngjKysrJydHCFFeXr5w4UJfJmC32z/++OOPP/7Yc7NBgwbdeuutVdc3Xv6hoaH33HPP2rVr3VdmZGR4pXMAAAAAAAAAQCBj6iUAAACg6ZFlWYurjsWiMRqNL7300nPPPWcymTx3KElSRkbG/Pnzo6KivJZlbaKiov70pz9Nnjy5pqfQePkPHjzYffGqq65q2bJlHdMGAAAAAAAAADRdjCgDAAAANDGKotjtdjWWJMlDoYzaoE+fPkuXLj158uS33377448/5uXlXbp0SQgRHx+fmJjYqVOnnj17pqSkqFMjecX06dOLiopOnjx5/Pjxn3/++cyZM0VFRRUVFbIsm0ympKSk7t279+rVKyUlRaerpXa/kfJv1apVampqbm6uujhy5Mh6P1kAAACgMUT166PYHfV7rEFurejjvJtPXSm/3p50aBn+m5TW/kmj6UiMUtoYPN3TeXBFuDE+3CiEiFDKpYTe6sqw82HJQ+tzcxfW0nffmgAAAPAvCmUAAACAJsbh+PXt8nbt2tXlIZIkJScnJycn12+Pbdu23bRpU93b6/X6tm3btm3btk+fPvXbYyUNzL8qRVEKCgrU2Gg09ujRw1s9AwAAAF7R7vkn/Z1C/fxaCv/bLnFZ96T5MZUg0kaITv8Nk64XSQ/6NRkAAICAx9RLAAAAQBNTVFSkxR06dPBfIk3YkSNHSktL1XjYsGF6vd6/+QAAAAAAAAAAfINCGQAAAKCJyc7O1mJvDdkSbDZv3qzFt912mx8zAQAAAAAAAAD4ElMvAQAAAI1i1KhRVqtVW8zIyHjkkUdqfVRhYeGkSZO0Hv7whz9UamCxWFatWqUtXn311d5INriUlJR88803apyent6yZUv/5gMAAAB4dvbr/Vt/+1Td2//uzAQlsrzx8hFCnC1p+fCyuKrrrU5Ziz9ee+jUgeVe3Glcmwjz/TYvdlh3pjBjn1YVjdR5VGiL2+QfG6nzqpS8ImEuqmnrue9aXvjmqPsancGQuu2jxs8LAADAdyiUAQAAABqFy+VyuVza4pYtW4YPH96qVSvPj1IURXuULMvum6xW6+HDh+fOnWuxWNQ1AwYMiImJ8WrWQWHlypVaPG7cOP8lAgAAANSVIiuX0VhIQlxG+/pQFFmpfRdKHdrUnSwrSmM/rxooimjMXSuNfr7+Z2+K8HBeZFn87y/bZf3uAQAANAkUygAAAAA+snjx4r/85S+X+yiHwzFs2LCq600m08MPP+yNvIKIxWLZsmXLli1b1MWrrrqqU6dO/k0JAAAAAAAAAOBLFMoAAAAAPrJ79+78/Px27do1vKtrrrnm6aefjoiIaHhXweDvf//7l19+WWmlTqd7+umn/ZIPAAAAAAAAAMBfKJQBAAAAfOftt9+ePXt2/R7bokWLLl26dOvW7aabbvJKtU0wkyQpKysrLi7O34kAAAAAAAAAAHyKQhkAAACgcUVGRl5//fVffPGFECInJ+fo0aOdO3eu+8NDQ0M3bdrUaNkFF51Ol5iY2Ldv38GDB5tMJn+nAwAAAASXkrL8zV89l9H3L/FxKf7OBQAAAMGLQhkAAACgcUmSNG7cOLVQRgjx5ptv/v3vf5ckyb9ZBZUnnnjiiSee8HcWAAAAQLBThJBllxCKvxMBAABAUKNQBgAAAGh0MTExQ4YM2bhxoxDi2LFjBw4cSEtL81bnRUVFu3btOnz4cG5urtlsNhqNKSkp3bt379u3b0JCQj06dLlcOTk5u3btOnTo0Llz55xOZ/fu3es9Y1TDKYpy8uTJ//znP4cOHfrpp58uXLgQEhLSvn37Ll269O7du2fPngaDwV+5AQAAAAAAAACaFgplAAAAAF8YOXLkP//5T0VRhBBvvvnmP/7xj4YPKlNSUvLaa6/l5OS4r7Tb7dnZ2dnZ2UuXLu3YseOzzz4bHx9fUw+FhYWTJk1S41mzZqWlpeXl5c2aNau0tNS9mcPhEEJYrdZRo0apax577LFbb7212j6//PLLefPmqbEkSWvWrNHr9VWbKYpy3333Wa1WIcSQIUPGjh1btY3ZbP7ss8/Wrl1bKR+73Z6Xl5eXl/fJJ59IkjR58uSMjIxqj+eWLVsWLVqkxvPmzUtMTKzpUGhcLtf9999vs9mEEKmpqS+//HKtDwEAAAAAAAAANBU6fycAAAAABIWIiIj7779fjc+cOfPtt982sMOcnJxx48ZVqpKp5NixYw8++OCuXbtqaqAoiusXQojs7Oynn366UlWKxmg0/n/27jw+qup+/P+5M8nMZEIIIQvIkiBrAoQ0RrAsolINglghQIG2ssQFPiBiRWj9uiKlH7XysIpAwTbWBVDCJqgB1IIsVUJAIWELkEJCQiAJIfvMZGbu74/76+18skwm20zCvJ5/8HjfO+ee+77nJmSW95zTvXt3pfHBgwfr6/PgwYNqn1ar9cqVK3U2KygoqKioUJrFxcXV2Wbp0qVJSUn15aNewurVq5ctW2a322s/es8996jJ7Ny500k/quPHj1dWViqHTJ061ZVDAAAAAAAAAADtBTPKAAAAAG7yyCOPbN682WKxCCFWr14dFxdX51Qrrrh06dILL7ygbsbExMycOTMiIsLX19dqtebm5m7YsOHIkSPKo2+88cby5ctjYmKc93ns2LHt27cLIfr27Tt79uy+ffv6+fnJsnz9+nW11Obee+/96KOPhBBpaWk2m612/jabLS0tzXHPjz/+GBERUft0GRkZaty3b18niUVERDz88MNRUVHBwcF+fn7KWYqLi1NTUz/88ENlTprjx49v2LDh0UcfrXGs0Wi877779u3bJ4TYs2fPY489ZjAYnI/Dhg0blECv1zc4aAAAAAAAAACA9oUZZQAAAAA30ev1iYmJSlxcXHzgwIGm9WOz2ZYtW6ZuzpkzZ/ny5f369dPpdJIk+fr69urV64UXXnjqqafUNitWrFAKdJzYtm2bLMsTJ05cuXLlkCFDjEajJEkajaZr166TJ09W2txxxx1q+5ycnNqd1J4/Zv/+/XWe7tChQ0oQERFRX/FKXFzcmjVrVq1aFR8f37NnTyUlSZJ8fHxCQ0Mfeuihjz/+OCoqSmmcnJxcXFxcu5OEhITaJ61Pfn5+VlaWemCTK5kAAAAAAAAAAG0TM8oAAAAA7jN27NiPP/64oqJCCLFu3bpRo0b5+vo2tpN//vOfRUVFaoeTJk2qs1l8fPy1a9eSk5OFECaTaevWrTNmzHDec0xMzJw5cyRJqq+B49wwP/74Y69evWo0+PHHH9Wz7927VwiRlZVlMplqlMI4Tjxz77331nc6ta6oPnq9/pVXXpk1a5bZbBZC7N69u/Y1RkREdO/ePTc3VwixadOmX/ziF04u8Msvv1TjBx54wPnZhRBms1ktrKmPsqyV3W63Wq0Ndui1lJWzZFlmlLxHjeXSuPXeQ/lfUXDTvYl60+vchDew2WxOnoDBFY3/xZFbJQ/HE8itfoq2pXUvtw0NZp2puPJXW/mR4IWPV3H8f4BXc16Fl/BeqMZTEavVqtEwH4dXUN+9aQs3Xf0/p0WeiFIoAwAAALiPVqudN2/eypUrhRCVlZW7d+9++OGHG9vJp59+qsZz5sxx0nLatGnbt29XXkJs3bp12rRpzl/PzJs3z/lnGFqtNiYm5sSJE0KIffv21a7RUeePGTt2bEFBgVI3c/HixUGDBjk2c5yNxnGWmiYwGo0JCQmbNm0S9RTKCCF++9vfvvHGG0KIgoKCf//73717966zK4vFsmvXLiWOjIwMCQlp8Oy5ubm113uqoU+fPkIIk8l08+bNBjv0chaLpcGpj3BLstvt/IJ4G1mWueleq6yszNMpwN3Ky8s9nUK719gxtNlsrT01okcKZWoU2rr11HIrntpmsws31pLZ7HYnPx42W82PvRv1V9tsNitfY4C3sdlsPLvzNryO82alpaWeTgHu1hZuemVlpRK0yBNRSr0AAAAAt7r77ruDg4OV+IMPPjCZTI06vLCwsKCgQInHjBljNBqdNNbpdL/85S+V2GKxXLp0yUnjsLCw7t27N5jA6NGjleDSpUs1kjeZTOr0Kr169Ro1apQSHz16tEYnP/30kxqHh4c3eFLnYmNjlaC4uLjO8Rw2bJi6iNK2bdvq6+fIkSPqO+/Tp09vZlYAAAAAAAAAgDaIQhkAAADArTQazYIFC5TYarVu3769UYdnZ2ersVqJ4sTPf/5zNb5w4YKTlnfffbcrCURHR9fXoVolM2jQIF9fX7Xlvn37anSiTjwTGxurlrA0WWBgoBqXlJTUbuDr66tOfnPgwAH1ywc1bNy4UQn0en1MTEwzswIAAAAAAAAAtEEsvQQAAAC4W1xcXPfu3XNzc4UQn3766S9/+Ut/f38Xj1WOUnTr1q3B9l27dlXjy5cvO2nZs2dPVxLo0qWLTqdT1sdJTU0dPHiw+pA6c8w999zj2LK4uLikpEQtZ3GceMaVWh9ZlnNycjIyMk6dOpWbm5ufn19jKm/HCdhLS0u7dOlSu5Px48dv2bJFiffv3z9+/PgaDXJyctSxTUhIaH75DgAAAAAAAACgDaJQBgAAAHA3SZKeeuqp559/Xgghy/LGjRufeOIJF4+9evWqGnfs2LHB9o4lOI5FNrUFBQW5koAkSSNHjlQmidm3b19iYqL6kDpPzJAhQ2q0PHPmjDq3zcWLF9VDHOenqdPRo0fXrVt3/fp1V3ITQigVPLWFhIRER0enp6cLITZt2jRu3DhJkhwbfP7552ocHx/v4uluu+22devWOW+zevVqIYRer3ec+QY1VFVVWSwWX19f56uJ4VZiMpnUojeNRhMQEODZfOA2Vqu1oqJCkiRX/orh1qDcdHWzQ4cOFKR6D2W2P39/fx8f3ohuFpPLhfUKTev/ltV4Ou0eGsljc+S36qk1Wo2wN9ysxU6ncXYtWm3N31ZJklx5LVNZWVldXa3X6w0GQ7PyQ/uh3HQl1mq1HTp08Gw+cBuLxVJVVcXrOK9SXV3tOENzQECA878muGXIslxaWiqE6Nixo0ee/jlSX1O0SCa8PgEAAAA8YNCgQf3798/MzBRC7Nq1a8qUKS7WqahvQgmH1wZOOL5qrTERSw2uf3oxYsQIpfylpKTk5s2bnTp1EkKUlpYWFRUp/dx22201Wn7//fdqoUxaWpoS6HS6Omd/Ua1fv/6LL75wMasGTZ8+XSmUKSkpOXfuXGRkpPqQyWTau3evEkdFRQUHB7vYp5+fX1xcnPM2vr6+QgitVqsEqJPyw6nRaBgl71GjrI1b7z1kWVYCbrrX8vHxoWbC2/j4+PAr30yN/a2RRKt/jOGZT0o8+OlMa57aDffr/56u0Y+68ius/EjwlN6rOL7hIEkSt9572Gw2wU33Mo7TOQshfH19KZTxEuqt9/Hx8fhNV//PoVAGAAAAaMcWLFiwaNEiJU5KSlq8eLErRzm+B6G8MeGc4+tYvV7fyBzr5lhicubMmeHDhwshzp07p+wZMWKE+lpFbXn48OFnnnlG2a9OPDNy5Egnr2r279+vVsloNJoJEyYMHz68W7duyjeSJUlSj83Ly5s3b16DaQ8ePDggIKCsrEwIsWXLlhdffFF96NChQ2o8ffr0BrsCAAAAAAAAALRTlHoBAAAAnnH77bffcccdSvzdd9/l5+e7cpTjFCxKzYdzjisddOvWrZE51i0wMFCd/+Zf//qXEnz//fdKMGLEiNotLRbLtWvXhBAlJSXKxDNCCKXCpk42m01d0qhjx44ffPDB448/PmjQoKCgIJ1Op9FoHCtsXCkYEkJIkjRjxgwlTk1NVWYNFf9Z/UqJ9Xq9sm4UAAAAAAAAAOCWRKEMAAAA4DFz585V47/+9a+uHNKjRw81zsvLa7C9Up6iiIiIaEx2ztx3331KcPjwYVmWZVk+ePCgsmfgwIF1tjx58qRwmHhG/N+ZaWrIy8tTS3yefvpp5+tSOV6jc2PGjFHjb7/9VgmysrIKCwuVOCEhQavVutgbAAAAAAAAAKDdoVAGAAAA8Jjbbrtt9OjRSnz8+PFLly41eEh4eLgaq5O4OJGamqrGffr0aXSK9bjzzjuVwGq15ufnFxQUmM1mIURQUFCnTp3qbKlU0vzwww/KZu2Wjq5cuaLGTuppFMeOHXMxbaPRqBbubN68WVmXauvWrWqD+Ph4F7sCAAAAAAAAALRHFMoAAAAAnvTYY4+p8Zo1axpcRSg0NDQkJESJ9+7dazKZnDSurq7euXOnEut0ut69ezcv2f/q27evGp88eTIjI0OJ77nnnvpanjhxwmw2qxPP1G7pSCm7UTif4sVsNu/Zs8flxEVCQoISVFRUnDp1qqKi4tChQ8qeQYMGBQcHu94VAAAAAAAAAKDdoVAGAAAA8KSgoKCHHnpIic+ePfv11183eMi0adOUQJbljRs3Omm5fft2teLkkUce0Wha7Pm/wWDo1auXEh84cECtNRk2bJiTlp9//rmaz9ChQ530rxYDCSGys7OdtExKSrJara5nHhER0a1bNyX+9NNP9+3bpz6kDiwAAAAAAAAA4FZFoQwAAADgYb/+9a/VeNu2bQ22v//++4OCgpR4x44d9c2ncuDAgU8++USJ9Xr91KlTm53p/3HvvfcqQXp6elpamhI7zjSjUlc72rBhg7qzzpaqiIgINX7vvffqLIWRZfmzzz5LSUlpXN5C/Pa3v1WC9PT0v//970psMBiio6Mb2xUAAAAAAAAAoH2hUAYAAADwsICAgBkzZrjeXqvVvvTSS+rm6tWrV6xYcfnyZaWaxGazXblyZeXKlW+99Zba5g9/+IPBYGjBnIUQd9xxR409vXr1qvMssbGxSiDLshJERET4+fk56TwgIGDkyJFKnJOTs2DBghMnTqjrTFVWVp44cWLx4sVK5c2UKVMalfldd92lLuekrnWVkJDgfI0nAAAAAM3UKaD7zEc+Cgse4OlEAAAA4NV8PJ0AAAAAADFp0qTk5GTXlxDq27fvsmXLli1bZrfbhRBHjhw5cuRIfY2fffbZuLi4lknUQc+ePWvsUWeOabClOhuNEwsXLjxx4kR5ebkQ4urVq461QY4WLFgQExOzZcuWBjtU+fr6Tpo0qcYh8fHxrvcAAAAAAAAAAGinmFEGAAAA8DyDwTBnzpxGHRIbG/vBBx9ERkY6aRMeHr5+/XpXqlKaQKvV1phURp05psktHRmNxrVr1/bv37++BgaD4dVXXx07dqxr+f4f48ePd9wcNGhQ586dm9APAAAAAAAAAKB9YUYZAAAAoE148MEHP/nkk6qqKtcPCQoKevPNN69fv37o0KHTp0+fOXOmvLzcaDQOGDBg4MCBI0aM6NGjR+slLIQYNWrU8ePH1c3aM8fU1zIiIsKV/gMDA//85z+fP39+//79GRkZOTk5QoiwsLCBAwcOHz48NjbW19e3aZmHhIRERkaePXtW2Zw+fXrT+gEAAAAAAAAAtC8UygAAAACtYvPmzY1q7+vr+9lnnzXhRGFhYQkJCQkJCU04tmvXrjt37mzCgYr777///vvvb9mWNUiS1L9/fyfzyogmXYUsy3l5eUpsMBgGDx7chNwAAAAA9+gyKvrR8q9cb6/RaySt1Hr5CCHC/OTDz9YxY33wa5pKy/8fj5sY+eqrM1rwpLIkJM99ptGqIyoJuRV7r3GuHnYh6r2YLuPtYXLr/vAAAAB4HIUyAAAAALzOuXPnSktLlXjy5Mlardaz+QAAAABOSFqNj1Hv6Sz+D60ktA1N76j10ej0fAbR9jh99SNp6y+iAQAAuFXwJBUAAAAQQgiTyXT+/PmMjIxz585dvXq1uLjYbrf7+/uHh4fffvvtt99+e1RUVJcuXSSJ9wxvBbt27VLjBx54wIOZAAAAAAAAAADciUIZAAAAeLurV69u2LDhwIEDtR+yWCzFxcUnTpxQNgMCAn71q1+NHTvWYDC4N0e0pJKSkoMHDypxTExM586dPZsPAAAA0Fjll6/9tOxDt53OPqDrvyc5Ww5VZZPtanzNlJdW8L3joxEBWl9NZQsn15YEpl/0dAqNUFXi7zvoF75dQj2dCAAAgLtRKAMAAADvVV1d/be//S0lJcXF9mVlZX//+9+TkpJ+9atfTZ06VafTtWp6aCUbN25U49mzZ3suEQAAAKCJzDfKzv9jj9tO5/NI7L9GuPRpgk2W1bjUWnKpLMvx0duMAVb71RZOri3pmH3E0yk0gmzpYyu7i0IZAADghSiUAQAAgJcqKytbunRpbm6uuue2226bOHFiVFRUSEiI0WiUJEmWZZPJVFBQkJGR8dVXfa9CFgAAIABJREFUX+Xk5AghZFn+7LPP9Hr9lClTPJc+mqKysjIlJUUtjRo0aFCfPn08mxIAAAAAAAAAwJ0olAEAAIA3qqysfOqpp4qLi5XNoKCg3//+9wMHDqzRTJIko9EYERERERHx0EMP5eTk/PWvf01PT3d7vmiWt99+e9++fTV2ajSa5557ziP5AAAAAAAAAAA8RePpBAAAAAB3k2X51VdfVatk+vfvv379+tpVMrX17NlzxYoVL730kp+fXyvniNYlSdLy5cuDg4M9nQgAAAAAAAAAwK0olAEAAIDX+fbbb8+ePavEISEhf/rTn/R6veuHDx069IMPPggPD2+d7NCKNBpNRETEjBkzPvroo+joaE+nAwAAAHiRKxdyewUlpP7rgqcTAQAAgLdj6SUAAAB4l+rq6r/+9a/q5vPPP6/T6RrbidFoHDZsWIvmhVb0u9/97ne/+52nswAAAAC8mizL1mqbLHs6DwAAAHg9CmUAAADgXb7//nuLxaLEkZGR/fr1a+0z2my2U6dO/fjjj6dPn87OzrZarcHBwdHR0T/72c+GDh3ahDIdm82Wnp5++PDh06dPX79+3Wq1Dhw4cMWKFc4P+fHHHw8cOHDmzJmioqLAwMCBAwc+8MADMTExkiTVaHzjxo3vvvsuNTX18uXL1dXVt99++9ChQ+Pj4wMDA11JT5bl7OzskydPnj59+uLFizdu3PDx8enRo0e/fv3i4uKGDBnShEtWe87IyDhw4MDJkyeLior8/PwGDBgwdOjQu+++22g0Nq1PAAAAAAAAAIBXoVAGAAAA3mXHjh1qPGXKlFY9lyzLu3fvTkpKMpvNjvvz8vLy8vL27Nmj1WqffPLJBx98sHa1iuLatWvz5s1T4tdeey06OjozM/O1114rLS11bFZdXe3kkKysrJdfftnxkKKiooMHDx48eDAiIuJPf/pTQECAst9ms/3tb3/78ssvHTs/e/bs2bNnP/7444ULFz7wwANOrreiouLrr7/esmVLjfQsFktmZmZmZuaXX34pSdL8+fPj4+Pru+T6riI/P//ll1/Oz8937DY1NTU1NXXNmjWLFy8ePXp07X5SUlLWr1+vxO+++27Pnj2dnFRhs9l+85vfKLcsMjLyf//3fxs8BAAAAAAAAADQXmg8nQAAAADgPmaz+cKFC+rmoEGDWu9clZWVS5YsWbt2bY0qGUc2m23t2rXLly+32Wx1NpBl2fYfQoi0tLTnnnuuRhmK80PS09OfeeaZ+g65fPnyokWLlCl2rFbr73//+xpVMo5WrVr19ddfOzn10qVLk5KSGkxv9erVy5Yts9vtrl/FhQsX5s6d61glU6PxW2+9lZKSUvuhe+65R+1n586dTs6oOn78eGVlpXLI1KlTXTkEAAAAAAAAANBeMKMMAAAAvEhubq4aBwcH+/v7t9KJzGbzokWLrl27pmyGhobOmjVryJAhHTt2lCTJbDZnZma+//77ly9fFkKkpaWtXLly6dKlzvs8duzY9u3bhRB9+/adPXt23759/fz8ZFm+fv364cOH6zzkp59+2rp1qxDizjvv/M1vftOzZ09fX9/q6uqsrKy//OUveXl5QojCwsK///3v//M//7Ny5crMzEy9Xp+YmPjzn/88MDBQkqTS0tLdu3dv2LBB6XDVqlXDhw/v0KGDkzwjIiIefvjhqKio4OBgPz8/IYTNZisuLk5NTf3www9NJpMQ4vjx4xs2bHj00UddGcyMjIzk5GRZliMjI2fOnNm7d2/lwgsLC5OTk/fs2aM0W7t27fDhwzt16uR4rNFovO+++/bt2yeE2LNnz2OPPWYwGJyfTr1YvV4fExPjSoYAAAAAAAAAgPaCGWUAAADgRZTSEEWfPn1a70TvvvuuWiUzfvz49evXjx49ulOnThqNRpIkg8EwZMiQd955Jz4+Xmlz6NCh9PR0531u27ZNluWJEyeuXLlyyJAhRqNRkiSNRtO1a9fJkyfXeUhycrLdbp83b97LL7/cp08fnU4nSZJOp4uMjHz33XfDwsKUZikpKZs2bTp8+HC3bt2SkpLGjRsXFBSkpBoYGDht2rTFixerfe7atau+DOPi4tasWbNq1ar4+PiePXsqGUqS5OPjExoa+tBDD3388cdRUVFqbsXFxa4M5qZNm6xW68yZM994443BgwerFx4WFrZgwYInnnhCbalUBdWQkJCgxocOHXJ+rvz8/KysLPVArVbrSoYAAAAAAAAAgPaCQhkAAAB4kYKCAjUODw9vpbNcuHDh4MGDSjxs2LC5c+fWWW+h0WgWLFjQq1cvZfMvf/mLLMvOe46JiZkzZ44kSa4nM27cuPHjx9fer9Pp5s+fr25u2rRJCPG///u/AQEBtRuPHj26S5cuSvzVV1/Vd67ExMQePXo4SUav17/yyit6vV7Z3L17twtXIIQQY8aMmTJlSp0XPmHChNDQUCXes2dP7TGMiIjo3r27Em/atMn5IDuuPPXAAw+4mB4AAAAAAAAAoL1g6SUAAAB4kZKSEjUOCgpqpbNs3LhRjRctWuSkrkWSpIULFyrztRQUFFy5cqVnz55Oep43b16jqmSEELNmzarvocGDBztuJiQk1DcmkiQ99NBDSUlJQoiSkpKysrI662lcYTQaExISlLqc3bt3z5gxw5WjHnvssfoekiQpISFh3bp1QgiTyXTjxo3g4OAabX7729++8cYbQoiCgoJ///vfvXv3rrMri8WizpcTGRkZEhLSYGJXrlx59tlnnbfx8fERQlRVVbk4g453stvtQgiLxcIoeQ/lpqsxt957KAWLsixz071HjSrV0tLSxj6fQXtXVlbGTW9xpaWl7jydzWZvuBHaG2t1dUVpaVUL/UVWnt2ZTCaLxdIiHaLtc3xKb7VaeXbnPZRnd8pC257OBW5S4yn9zZs3eXbnbRzfV/eUyspKJXD8A9RkFMoAAADAi1RXV6uxUr7gRGlpqZMqEyHEihUrBg4cWGNnVVVVWlqaEt9zzz0NFpT07dvXz8+vqqpKCPH99987KZQJCwtTZ0Zx0Z133mk0Gut7VKfTdenSRV0i6he/+IWTrvr376/GN2/ebHKhjBAiNjZWKZQpLi42mUwGg6HB9s5Ppy7nJISos1Bm2LBhWq3WZrMJIbZt2/bcc8/V2c+RI0fUV1nTp09v6DqEEMJisahLNdVHWeRLlmUlATjBKHkzbr0X4qZ7rRZ5TxPtCze9Nbh5VGXRwOSXaKfsdnvL/kXmKb0349Z7IW661+LZnRdqC7/vLZsDSy8BAADAi/j6+qqx1WptsL3NqToX8bl06ZIa33333Q2eQpKk6OhoJT579qyTlq70VkNcXJzzBt26dVPj2267zUnLwMBANb5582ZjM6mvK1e+izB06FDXO6wzN19f30mTJinxgQMH1C8f1KBOBaTX62NiYhpMDAAAAAAAAADQ7jCjDAAAALxIx44d1biZ1R71uXLlihqHh4e7ckjPnj1TU1OFEOfOnXPerLHJdOnSxXkDdb4ZvV7vfIodvV6vxo4T89Qmy3JOTk5GRsapU6dyc3Pz8/PNZrNjA8cvnZSWljaYZNeuXZ030Ol0alzfLN/jx4/fsmWLEu/fv3/8+PE1GuTk5OTm5ipxQkKCVqt1flIAAAAAAAAAQHtEoQwAAAC8SGhoqBpnZ2c7b9yxY8edO3fW2Lljx46kpCQnR+Xk5Kjx008/rdFoxH/W8ZVlWQ2EEHa7XV3UWWlfVlYmy3J9S/wGBQU5T7g2x+qWOinpCSEaXP/IRUePHl23bt3169ddbO/K6vUNXoUrQkJCoqOj09PThRCbNm0aN25cjXH+/PPP1Tg+Pt7FbgMCAn75y186b3P+/HkhhI+PT0sN8i2purraZrNptVrHaZ9wa7NarerMXpIktchvOtoFu91usVi46V5Fuenqpk6nU5+B4JZnMpkEN711VDkUi7uBRuIO3oIkjUan0+la6HWK8pTex8enwWWOcctQbroSazQanXv/X4IH2Wy26upqntJ7FeWmq5t6vb6+NzBxi5FlWfkOZFu46S275hfPVwAAAOBFHFcaysrKakIPDU40UlVVpcbKBwMtpVXfbWyRjy7Wr1//xRdfNL+fVjJ9+nSlUKakpOTcuXORkZHqQyaTae/evUocFRUVHBzsYp+hoaEvv/yy8zZz584VQuh0ug4dOjQlb+9QXl6uvKvOKHmPiooKx0IZbr33sFgsSs0EN917VFdXOxbKGI1GPkP1HsrzYT8/P2phW5z5P3NDuodGw4dhtyCtVqszGg0t9Be5tLTUZrP5+vr6+/u3SIdo+8rKyhwLZXh25z1MJlN1dTU33auYzWbHQhl/f3/KoL2E3W5XCmXawk1XK3VaJBNelAIAAMCLdO/eXY0LCgoqKyuNLf3+std+8LN//361Skaj0UyYMGH48OHdunXz9/f38fGRJEl9JZOXlzdv3jz3Zzh48OCAgICysjIhxJYtW1588UX1oUOHDqnx9OnT3Z8bAAAAAAAAAMA9vPRNfAAAAHgng8HQu3dvdS6Z06dP33nnnS17ii5duqjxpk2bvOS7dDabbd26dUrcsWPHVatWOVkoSv3CmZtJkjRjxoz169cLIVJTU0tLSzt27CiEkGV548aNShu9Xj9kyBCPpAcAAAAAAAAAcAPmRAIAAIB3eeSRR9Q4OTm5xfu//fbb1bigoKDF+2+b8vLyKioqlPjpp592UiUjhLh27ZpbkqrDmDFj1Pjbb79VgqysrMLCQiVOSEhocHUtAAAAAAAAAED7RaEMAAAAvMvIkSPV1ZHOnDmTmZnZsv336tVLjY8dO9aynbdZV65cUePIyEjnjT04LEaj8b777lPizZs32+12IcTWrVvVBvHx8Z7JDAAAAAAAAADgFhTKAAAAwLvodLonn3xS3XzzzTctFksL9h8YGBgVFaXEmzdvtlqtLdh5m2U2m9XY+YwsZrN5z549rZ9RvRISEpSgoqLi1KlTFRUVhw4dUvYMGjQoODjYc6kBAAAAAAAAAFodhTIAAADwOmPHju3bt68SX79+/ZVXXmnZWpmZM2cqQVVV1fvvv9+CPbdZISEhapydne2kZVJSkmeLhyIiIrp166bEn3766b59+9SHpk2b5qGkAAAAAAAAAABuQqEMAAAAvI4kSa+99lrHjh2VzVOnTs2bN+/8+fMNHmg2mzMyMhpsNmjQoFGjRilxSkpKUlKSzWZzfkhhYeHHH39cUVHRYOdtU0REhBq/9957dZbCyLL82WefpaSkuDGvuv32t79VgvT09L///e9KbDAYoqOjPZcUAAAAAAAAAMAdfDydAAAAAOABHTp0WL169ZIlS/Lz84UQhYWFixcvDg8Pnzhx4oABA0JCQgwGgyRJQojq6urKysrs7OwDBw7s3btXlmVX+l+0aNHFixevXr0qhNixY8c333zzm9/8Ji4urnPnzjqdTghht9urqqoKCwvPnDmze/furKwsIcTEiRNb8ZpbU0BAwMiRIw8fPiyEyMnJWbBgwfz58wcMGGAwGIQQlZWV58+f//DDDy9cuCCEmDJlypYtWzyY7V133aXVapXqJbWGKSEhwfmiUQAAAACao2e/HlfKP9dIVz2dCAAAALwdhTIAAADwUoGBge+9995f//rXb775RtmTnZ397rvvunJsUFDQk08+OXDgwPoa6PX6d955Z/ny5enp6UKI8vLydevWtUjabdbChQtPnDhRXl4uhLh69epLL71UZ7MFCxbExMR4tlDG19d30qRJNXKIj4/3VD4AAAAAAAAAALdh6SUAAAB4L51O9/TTT69evXr48OEuHjJo0KAVK1b84x//GDlypDLlTH0MBsMf//jHF198MTAw0HmfkiTFx8evWrUqICDA1dTbHqPRuHbt2v79+9fXwGAwvPrqq2PHjnVnVvUZP3684+agQYM6d+7sqWQAAAAAAAAAAG7DjDIAAADwdj179nz++eerqqoyMzNPnjyZmZl59erVoqIiu93u5+fXrVu3Xr169ejRo1+/fn369DEaja73LEnSsGHDPvroo+zs7KNHj54/fz4zM/PmzZtCiLCwsJ49e/bp02fIkCH9+/f39fVttetzn8DAwD//+c/nz5/fv39/RkZGTk6OECIsLGzgwIHDhw+PjY1tO5cZEhISGRl59uxZZXP69OmezQcAAAAAAAAA4B4UygAAAABCCOHn5xcTExMTE9PiPUuSFBERERER0YRju3btunPnztY7ZMmSJUuWLHGlZUhIiCvdSpLUv39/J/PKuJhho64iICCgsaMky3JeXp4SGwyGwYMHN+pwAAAAwLP8e4YOX/OM205nDwuI6NvdlZYfSRrrf+Iwfdc7QoY5PurvI3Tavi2dXRsi/WyAp1NoBN8SrTY02NNZAAAAeACFMgAAAAC8zrlz50pLS5V48uTJWq3Ws/kAAAAAjWIICYyc97Cns6iDxmGB2kDfoN4d+3kwGQ+4faCnM2gEnacTAAAA8BSNpxMAAAAAAHfbtWuXGj/wwAMezAQAAAAAAAAA4E7MKAMAAADAu5SUlBw8eFCJY2JiOnfu7Nl8AAAAgNrMRaU3TlysvT8gUOswaUsdyjt3KO7kX3u/zaqtrGj1mRTt8n/jwusVp0/mt/YZ0QT+wRq/znZ1UyuJQLtZW1FZo5kkaURIe1pMCgAAwEUUygAAAKCtmDFjhslkctyTlJQUFBTk4uEvvPDC6dOnHfe8+eab/fp52UTfcMHGjRvVePbs2Z5LBAAAAKhX4dFze8f/ofb+kRPDrUXFTg48Oz9hT7c63vnvqbtt+3659v6WZbH9t/zihwOXK6993dpnRBOMeqRr0D3X1c1OesMwH0uHf9W8WbKPXvPwWvemBgAA4A4svQQAAIC2wlbLd9995+KxN2/eTE9Pr3F4q2aL9qiysnLr1q0pKSnK5qBBg/r06ePZlAAAAAAAAAAA7sSMMgAAAGi7tmzZ8sgjj0jOJxYXQgixf//+1k/HHUpLS2fNmqXES5YsGTFihGfzuTW8/fbb+/btq7FTo9HMnTt30qRJyiajDQAAAAAAAADegBllAAAA0OZoNBqlOKa0tDQrK6vB9rIsb9myRYl1Ol3rJtf61BlxZLnV50X3WpIkLV++vHPnzow2AAAAAAAAAHgVCmUAAADQ5hiNxvj4eCX+8ssvG2x/8eLF0tJSIYRGoxk/fnzrJof2TKPRREREzJgx46OPPoqOjvZ0OgAAAIAXKSnL/WTXnOtFmZ5OBAAAAN6OpZcAAADQFo0fP37Pnj1CiG+++WbevHnO54lRi2nGjh3bpUsXd+SHduV3v/vd7373O09nAQAAAHg1WQi73SYEUzkCAADAw5hRBgAAAG1Rr169goKClDgtLc1JS7PZ/O233yrxuHHjWj0zAAAAAAAAAADQbjGjDAAAANoiSZKmTJny/vvvCyG2bNkyYsSI+lqqZTRBQUERERGnTp1q7LkKCgoOHz585syZs2fPVlRUGAyG/v37Dxw4cMSIEd26dWtC8rIsZ2RkHDhw4OTJk0VFRX5+fgMGDBg6dOjdd99tNBqb0KErrl+/fuzYsZ9++uny5cuFhYUajSY0NLR3796DBw+OjY0NCwtzsR+bzXbq1Kkff/zx9OnT2dnZVqs1ODg4Ojr6Zz/72dChQ51P7VNfh+np6YcPHz59+vT169etVuvAgQNXrFjR/ENkWc7Ozj558uTp06cvXrx448YNHx+fHj169OvXLy4ubsiQIU3IFgAAAAAAAABwa6NQBgAAAG3U6NGjlUKZCxcuFBUVBQcH19ksOTlZCaZOnSpJUqNOUVJS8uabb6anpzvutFgsaWlpaWlpH330Ue/evf/f//t/TqpMrl27Nm/ePCV+7bXXoqOj8/PzX3755fz8fMcOU1NTU1NT16xZs3jx4tGjR9fZ1fz5869evSrL/52H/M0339Ro6pgDMjk52cfnv8/ky8rK3n777drz7uTk5OTk5Hz33XdCiKioqMcff7xfv371XYgQQpbl3bt3JyUlmc1mx/15eXl5eXl79uzRarVPPvnkgw8+WN841x6NzMzM1157rbS01LFZdXV1cw4RQlRUVHz99ddbtmyp0cxisWRmZmZmZn755ZeSJM2fPz8+Pr7ObJs82gAAAAAAAACAdo2llwAAANBGBQYGDho0SIn37dtXZ5vCwsKsrCwlvvvuuxvVf3p6+uzZs2tUydSQlZX1+OOPHz58uL4Gsizb/kMIceHChblz5zpWydRo/NZbb6WkpNT5qNKJ3W6vs3NHjkeVlJQ88cQTzlenEkKcOXNm8eLFVVVV9TWorKxcsmTJ2rVra1TJ1Mhw7dq1y5cvr5FDnQkLIdLS0p577rkatSzNP0QIsXTp0qSkpAZ7Xr169bJlyxyH1PFamjDaAAAAAAAAAID2jm9GAgAAoO2aMmWKspTStm3bJk+eXHtqkG+//VYJoqOjAwMDXe/50qVLL7zwgroZExMzc+bMiIgIX19fq9Wam5u7YcOGI0eOKI++8cYby5cvj4mJcd5nRkZGcnKyLMuRkZEzZ87s3bu3n5+fLMuFhYXJycl79uxRmq1du3b48OGdOnVyPVsnli1bVllZqcTDhw9PSEjo3r270WiUJMlut5eXlyuTyqhnr5PZbF60aNG1a9eUzdDQ0FmzZg0ZMqRjx46SJJnN5szMzPfff//y5ctCiLS0tJUrVy5dutR5YseOHdu+fbsQom/fvrNnz+7bt68yGtevX6+v8Kixh0RERDz88MNRUVHBwcF+fn5CCJvNVlxcnJqa+uGHH5pMJiHE8ePHN2zY8OijjzrPFgAAAAAAAADgJSiUAQAAQNsVExOj1WptNlt5efn58+f79+/v+KjdblfqKoQQkydPdr1bm822bNkydXPOnDmTJk1SN319fXv16vXCCy/s3bv3vffeU3auWLHik08+0el0TrrdtGmTEGLmzJmONT2SJIWFhS1YsCA8PFxZSUoIsXXr1scee6zG4evWrRNC3Lx5c+bMmcqeJUuWOJ8mJzc398KFC0r861//evr06Y6ParXawMDAwMDAwYMHJyYm7ty5s75+3n33XbVKZvz48U888YRWq1UfNRgMQ4YMeeedd9asWbN3714hxKFDh8aNGxcdHe0kt23btgkhJk6cOGfOHMfR6Nq1a303y/VD4uLinn/++R49etTowcfHJzQ09KGHHrr//vtffvnlM2fOCCGSk5MnTJgQFBTk2LIJow0AAAAAAAAAuAVQKAMAAIC2y8fHZ/z48bt27RJCfPHFF88++6zjo+fOnVMmU9FqtQ1O9+Lon//8Z1FRkRKPHTvWsUrGUXx8/LVr15KTk4UQJpNp69atM2bMcN7zmDFjpkyZUudDEyZM2LFjR0FBgRBiz549iYmJtSfIEUJoNJo64zqdP39ejZ2XCvn5+U2bNq3Ohy5cuHDw4EElHjZs2Ny5c+tLbMGCBZmZmZcuXRJC/OUvf/nb3/5WZ0tVTEyMY8mLK1w8JDEx0XkDvV7/yiuvzJo1S1lJavfu3XXeu0aNdp1u3rz5+eefO2+jzG1TXV3tZOkrKKtc2Ww2Rsl7WK1WNZZlmVvvPdRV7bjp3qPGUoZms7m6utpTycAjzGaz43/7cJHFYqlzvyw3cGCda48KIWx2mxBNedKLW0+NHxJZlm31/Ni4/vda6dNqtfIn3ns4/om32+3ceu+h/FnndZxXqfFczmQyNeodP7Rf8n+eeraFm67+n1Pf091GoVAGAAAAbdqDDz6oFMrs379//vz5BoNBfUidIuWhhx5ynAGlQZ9++qkaz5kzx0nLadOmbd++XXkpuHXr1mnTpjkvp6g9T4xKkqSEhARlIhOTyXTjxo3g4GDXc66TWu5jMBh8fX2b1snGjRvVeNGiRU5e8EiStHDhwsWLFwshCgoKrly50rNnTyc9z5s3r7Evn5pwSH2MRmNCQoIyzU99hTLNd+PGjVWrVjlv06dPHyFEdXV1RUVFa+RwK7FarXyK5p1kWeYXxNtw070ZH6h4IaVuGI1V37jJcgMfDNSoTlPZ7XYKZaCo+UMiy3Z7HT82Tfh7XV1dTTWkd7Lb7Ty78zbcdG+mLgQP79EWbnrL5sDTYgAAALRpPXr0CA0NVeKjR4+q+ysrKw8fPqzEY8eOdb3DwsJCZVoXIcSYMWOMRqOTxjqd7pe//KUSWywWZTKV+sTGxgYEBDhpEBUVpcY3btxwMWEn1NOZTKamvTdRVVWVlpamxPfcc4/z/IUQffv29fPzU+Lvv//eScuwsLDu3bs3KpkmHOJcbGysEhQXF/PxDAAAAAAAAABAUCgDAACANk6SpKlTpyqxsgqS4ocfflCCsLCwHj16uN5hdna2Go8aNarB9j//+c/V+MKFC05aDh061HlXgYGBanzz5s0GT92gfv36qfHrr7/ehJp6x9Kfu+++u8H2kiRFR0cr8dmzZ520dKW35h/inOOAl5SUtGznAAAAAAAAAID2iKWXAAAA0NaNHDlyzZo1QohLly4VFBQoE8xs3rxZeXTq1KmNWqwnNzdXjbt169Zg+65du6rx5cuXXWxZJ51Op8YWi6XBUzeoV69e3bt3V67oxIkT06dPHzVq1Lhx4/r06eN8phzVlStX1Dg8PNyVQ3r27JmamiqEOHfunPNmrvTWnENkWc7JycnIyDh16lRubm5+fr7ZbHZs4LhabWlpaZcuXRqbkisatewXAAAAAAAAAMCzKJQBAABAWxcQEHDHHXccP35cCPHtt99Onz796tWreXl5yqMjR45sVG9Xr15V444dOzbY3t/fX40di2xq0+v1jcqk+SRJWrZs2cKFC6uqqpQ9hw4dOnTokBAiODh42LBhQ4cOjYqKcryEGnJyctT46aef1mg0QghZlpV/1UAIYbfblUBdzL6srEyW5fqqlIKCghp7OY065OjRo+vWrbt+/bqL7VukMqm23r17HzlyxHn0UxaoAAAgAElEQVSbuXPnCiGMRmNISEhr5HBrKC8vN5lMer2+wfW/cMuoqKhQ/+/SaDSdO3f2bD5wG4vFUlpaKklScHCwp3OBm1RXVztO7dapUycfH96T9BaFhYVCiMDAQF9fX0/n0v6Y63m1otFo7HU+8B/1jbavj68QcrPzwq2gxg+JpNH4+tTxYyNJkuuvYkpLSy0Wi5+fn5NXoLjFlJWVqd9X8fHx6dSpk2fzgduYTKby8nKtVtuEN3/QTpnN5rKyMnWzc+fOyruIuOXZ7fYbN26ItnHTKyoqlKBFMuFFKQAAANqBSZMmKYUyO3bs+NWvfrV3715l/5133tmhQ4dGdVVdXa3GrnxI4/i0u8aEJW1BWFjYBx98kJSUpI6JoqioKCUlJSUlRQhx5513zp49u84JY9RPqYUQJpOpBRNrwgdgrh+yfv36L774orH9AwAAAAAAAABAoQwAAADagcGDB+t0OovFUllZmZaWtmvXLmX/pEmTGtuV4zfn1MlRnHBcvsf9c8a4wmg0PvXUU4mJiT/99NPhw4dTU1NrFPSkpaWlpaUlJCTMmjWrxgQw7fH73Pv371erZDQazYQJE4YPH96tWzd/f38fHx9JktRrzMvLmzdvnucyBQAAAAAAAAC0Oe3vbXEAAAB4Ia1WO2HChG3btgkhXn/9davVKoTQ6/UDBw5sbFddunRR47KysgYnhVZndBRCdOvWrbGncxuj0ThixIgRI0bIsnzz5s2srKyDBw9+9913ajHQtm3bwsPDx4wZ43iU42hs2rSp7U+RbbPZ1q1bp8QdO3ZctWqVk2l+XSmEAgAAAAAAAAB4FRYPAwAAQPsQHx+vBEqVjBDi4Ycf1mq1je2nR48eapyXl9dg+2vXrqlxREREY0/nfpIkBQUFxcXFPfPMM8nJyYmJiepD69evd5wgRwhx++23q3FBQYH7smyqvLw8tXTp6aefdr4YtuO9AwAAAAAAAABAUCgDAACA9qJbt2633Xab454HHnigCf2Eh4er8ffff99g+9TUVDXu06dPE87YZLIsN7MHHx+fiRMnqjVGlZWVN27ccGzQq1cvNT527FgzT+cGV65cUePIyEjnjRt1Rc0fbQAAAAAAAABA20ehDAAAANqNqVOnqnH37t1r1M24KDQ0NCQkRIn37t1rMpmcNK6urt65c6cS63S63r17N+GMjaLR/Pcpujp3TjONGDFCjcvKyhwfCgwMjIqKUuLNmze31Blbj9lsVmPn8wmZzeY9e/Y47601RhsAAAAAAAAA0JZRKAMAAIB24/7779/5H2vXrm1yP9OmTVMCWZY3btzopOX27dvVyoxHHnnEsa6ilRgMBjVuqbWQHGeR6dChQ41HZ86cqQRVVVXvv/9+i5yx9ahFTkKI7OxsJy2TkpIarH1pjdEGAAAAAAAAALRlFMoAAADA69x///1BQUFKvGPHjvrmHTlw4MAnn3yixHq93nE+m9bj4+Pj7++vxEePHnXeePPmzenp6TabzUmbqqqqjz/+WIkNBoNjoYli0KBBo0aNUuKUlJSkpCTnHQohCgsLP/7444qKCufNWkNERIQav/fee3WWwsiy/Nlnn6WkpDTYW6NGGwAAAEBzdAroPvORj8KCB3g6EQAAAHg7CmUAAADgdbRa7UsvvaRurl69esWKFZcvX1aqLmw225UrV1auXPnWW2+pbf7whz84zj7SqsaMGaMEZ8+e3bVrV1lZmSzLdba8ePHiCy+8MG3atPXr1584ceLGjRvV1dXKQzabrbi4eP/+/U8++WRxcbGyc968eZIk1e5n0aJF6jpWO3bsePTRR7/88sv8/HyLxaLstNvtFRUVly9f3r179zPPPJOYmJicnGy321vwql0UEBAwcuRIJc7JyVmwYMGJEyfU9bMqKytPnDixePHiDRs2CCGmTJnSYIeujzYAAAAAAAAA4Bbg4+kEAAAAAA/o27fvsmXLli1bplR7HDly5MiRI/U1fvbZZ+Pi4tyW28SJE3ft2qXE77//vrIckkajUWtckpOTfXz++0zeYrF88cUXX3zxhfNux44de99999X5kF6vf+edd5YvX56eni6EKC8vX7duXfMvpJUsXLjwxIkT5eXlQoirV6861jw5WrBgQUxMzJYtW5z31tjRBgAAAAAAAAC0a8woAwAAAC8VGxv7wQcfREZGOmkTHh6+fv36e++9111JCSFEaGjo73//+xpTv9jtdtt/NLbDgICAJUuWzJ8/v87pZBQGg+GPf/zjiy++GBgY6Lw3SZLi4+NXrVoVEBDQ2ExahNFoXLt2bf/+/etrYDAYXn311bFjx7rSW4uPNgAAAAAAAACgLeObkQAAAPBeQUFBb7755vXr1w8dOnT69OkzZ86Ul5cbjcYBAwYMHDhwxIgRPXr08EhiI0eO/PTTT3/44YejR49eunQpPz9fWRaqhqVLlxYUFGRnZ1+6dOnf//731atXCwoKqqqq7HZ7YGBgeHj4wIEDY2Nj+/fvr9E0XCIvSdKwYcM++uij7Ozso0ePnj9/PjMz8+bNm0KIsLCwnj179unTZ8iQIf379/f19W35a26MwMDAP//5z+fPn9+/f39GRkZOTo6S5MCBA4cPHx4bG9uoDF0cbQAAAMCddJ38w4YPrGN/7xDfrmFODgzq0LF3R2Pt/QGiw5Durf7V2ZOSpC7RGhRs7DsgtLXPiCboHOrf2RCibnbw8dVoqkTnPjWaSVq9e/MCAABwE0mWZU/nAAAAAAC3rLlz5x47dmz+/PmJiYmezqXtKi8vN5lMer3eUzMVwf0qKiqqqqqUWKPRdO7c2bP5wG0sFktpaakkScHBwZ7OBW5SXV1dUlKibnbq1IllDb1HYWGhECIwMNDjldZwG39//8rKSiV+8cUXly9f7tl84DalpaUWi8XPz8/f39/TucBNysrKzGazEvv4+HTq1Mmz+cBtTCZTeXm5VqsNCgrydC5wE7PZXFZWpm527tzZlW/l4RZgt9tv3Lgh2sZNr6iouOeee4QQmzdv7t27dzN74ycYAAAAAAAAAAAAAAAAXoFvbwAAAACt7vz580uXLlXiNWvW3HbbbZ7Np71wZdxMJtOMGTOUeOHChWPGjHFffgAAAAAAAACA9oZCGQAAgFY3Y8YMk8nkpIHRaOzRo8ftt99+xx13DB482GisYzl5tHc2m00J2tTip44/nFu3bvX4/Jm1uTJuahu73e6OnAAAAAAvkPXYM9abZQ02u21qlH+nq+qmZK9W409/vJq25rAr53pspBjd/99NSLIFBRsmaqUOns0BAAAA7kGhDAAAQKuz2WzqB/l1KisrO3PmzJkzZ7766ishxPjx42fPnm0wGNyVILxXgz+cAAAAALyTtajYWlzScDuLSVQVO2z/t8C9wmK7XmZ25VxVFq1Nrmhshi2tDX2lAQAAAK2qzX1hFAAAAF999dXjjz9eUuLCO5IAAAAAAAAAAABwGTPKAAAAuNX27du1Wq3jHlmWrVZrUVHRv/71r08++cRqtQohSktLly5dunbt2ja4FA4AAAAAAAAAAEA7RaEMAACAW0mSVHuPr69v165dExISxowZM3fu3KqqKiHE1atXU1NTf/7zn3siTaDdMBgMO3fu9HQWAAAAAAAAAID2gS8oAwAAtCGdOnVatGiRuvndd995MBkAAAAAAFqK6frlH18YW34pw9OJAAAAwNtRKAMAANC2REdHq3F6eroHMwEAAAAAoMXIsmyzCln2dB4AAADwdiy9BAAA0LYYjUY1NpvNDbaXZTk7O/vkyZOnT5++ePHijRs3fHx8evTo0a9fv7i4uCFDhuh0OhdPff369WPHjv3000+XL18uLCzUaDShoaG9e/cePHhwbGxsWFiYG3poU5fjOpvNduzYsR9++OHEiRPFxcWdOnUaMGDAiBEj7rrrLtcTVrXgILQeWZYzMjIOHDhw8uTJoqIiPz+/AQMGDB069O6773b8GXauZcfNlZzb/sACAAAAAAAAAFoVhTIAAABtS1VVlRp3797dScuKioqvv/56y5YtpaWljvstFktmZmZmZuaXX34pSdL8+fPj4+MlSXLSVVlZ2dtvv52WllZjf05OTk5OjrICVFRU1OOPP96vX79W6qFNXU6jnDt37rXXXisrK1P3FBYWFhYWHj58WK/XP//883fccYeLXbXgILSga9euzZs3T4lfe+216Ojo/Pz8l19+OT8/3zHD1NTU1NTUNWvWLF68ePTo0Q1221LjZjKZZsyYocQLFy4cM2ZM7TZtc2ABAAAAAAAAAO7H0ksAAABty+nTp9X4rrvuctJy6dKlSUlJNT74r0GW5dWrVy9btsxut9fXpqSk5IknnqhdVlLDmTNnFi9e7FjH04I9iLZ0OY3yzTffLFmyxLHaw5HZbH711VeV0hxXtNQgtCxZlm3/IYS4cOHC3LlzHatkajR+6623UlJSnPfZsuOmplffmLTNgQUAAAAAAAAAuB8zygAAALQhZWVl77zzjrr5wAMPNHhIRETEww8/HBUVFRwc7OfnJ4Sw2WzFxcWpqakffvihyWQSQhw/fnzDhg2PPvponT0sW7assrJSiYcPH56QkNC9e3ej0ShJkt1uLy8vV2Zh2bNnT305NL+HNnU5rsvIyHj33XfVzV/84hdTpkzp2rWrRqMxmUwXLlxYv3795cuXV65cOXnyZNe7bf4gtJ6MjIzk5GRZliMjI2fOnNm7d28/Pz9ZlgsLC5OTk9VRXbt27fDhwzt16lRfJ60xbg1qywMLAAAAAAAAAHAPCmUAAAA8z/HTenWOk/nz54eEhDg5Ki4u7vnnn+/Ro0eN/T4+PqGhoQ899ND999//8ssvnzlzRgiRnJw8YcKEoKCgGo1zc3MvXLigxL/+9a+nT5/u+KhWqw0MDAwMDBw8eHBiYuLOnTtrp9H8HtrU5bjOZrOtWLFC3XzxxReHDRumbvr5+UVHR7/zzjvvvvvuP//5z61bt7rSZ4sMQqvatGmTEGLmzJmTJ09WlyiSJCksLGzBggXh4eHvv/++snPr1q2PPfZY7R5aY9wa1PYHFgAAAAAAAADgHhTKAAAAuFVCQoJaXqBQlrNx1LNnz4ULF0ZGRjrvKjEx0XkDvV7/yiuvzJo1y2w2CyF27949Y8aMGm3Onz+vxs5n7/Dz85s2bVrt/c3vQdFGLsd133zzTUVFhRInJiY6VnuoNBrNokWLLl26lJWV5UqfLTIIrW3MmDFTpkyp86EJEybs2LGjoKBACLFnz57ExMQaP+2idcatQa03sFar9ebNm87bKGs5ybLMok5OyLIsGCUvo9x0Fbfee6i3npvuPWr/vnP3vQ03/dYmN9ykfbDb7ZLED2rT8ZTeC/GU3mvxlN4L8fvutdR73RZuesvmQKEMAACAWzX4ZG7s2LFz5swxGo0tcjqj0ZiQkKDMAlLnZ/9FRUVKYDAYfH19m3CK5vfgOjdcjus+/fRTJfDz83v44YfrayZJ0oIFCxYvXtxS521wEFpbnfPEKCRJSkhIWLdunRDCZDLduHEjODi4RhtPjVuDmjaw2dnZv/rVr5y36dOnjxCiqqrqxo0bzc/z1maxWBgl72S327n13kaWZW661yotLfV0CnC3srIyT6eApnDxowhrdXXzz1VtbYFOmqmkpETYPZ9Ge2cymZRlbeFtrFYrz+68jc1m46Z7rQa/NoZbT1u46ZWVlUrQIhUzmuZ3AQAAgBa0Z8+e6dOn/+Mf/7BarS3SYWxsrBIUFxfXfrsqICBACUwmkzrPR6M0v4dGae3LcVFRUZFalDNx4kStVuukcd++fTt27NiCZ3c+CK0qNjZWHeQ6RUVFqXHtt0s8O24N8uDAAgAAAAAAAADcgxllAAAA3Gr79u21iwPsdntFRcX58+c/+eSTCxcuCCG2bdv2008/vf766waDoZlnDAwMVOOSkpIaHfbr10+NX3/99eeff76xk9k0v4dGae3LcdGlS5fU+M4773TeWJKke++9d+fOnS11dueD0KqGDh3qvIFjbrW/Z+DZcWuQBwcWAAAAAAAAAOAeFMoAAAC4lSRJtXdqNJqAgIA77rgjNjZ269atH330kRAiKytrxYoVy5cvd96hLMs5OTkZGRmnTp3Kzc3Nz883m82ODRznISwtLe3SpYvjo7169erevXtubq4Q4sSJE9OnTx81atS4ceP69OnjYolJ83toU5fjory8PDUOCwtrsL2y+I6LmjkIrapr167OG+h0OjW2WCw1Hm3VcWtQWx5YAAAAAAAAAIB7UCgDAADQhkiSNHny5GPHjp06dUoIceLEiTNnzjiuZVPD0aNH161bd/36dRf7r124IEnSsmXLFi5cWFVVpew5dOjQoUOHhBDBwcHDhg0bOnRoVFSUv7+/k5yb2UObuhwXXb16VY1dKcEJCQlxsefmD0Kr0uv1zTm89catQa00sGFhYStWrHDe5rPPPhNC6HQ656tWeTmTyVRdXe3r68tEPt7DbDarv2iSJHXo0MGz+cBtrFZrVVUVN92r2Gw2dS15IYTRaHS+/CJuJWVlZYKb3m4V1fU1j9q0Pi1wc9vCT4i/v79G8Lep6aqqqqxWq06na+bLRrQjyus4JdZqta06wTDalOrqapPJpNFomv8OG9oL5XWcutmhQ4c6vw6KW48sy+Xl5aJt3HSNRqMELZIJhTIAAABtiyRJv/71r1944QVlc8eOHfUVyqxfv/6LL75o/hnDwsI++OCDpKSkvXv3Ou4vKipKSUlJSUkRQtx5552zZ88ODw9vpR7a1OW4wrGKQn2C7oSLbxS21CC0Wa00bg1qvYHt0KHD2LFjnbfZtm2bEMLHx4f3i52orq6urq7WaDSMkvewWq1qLEkSt957SJKkvMHKTfce6kdoCp1O5+PDe5LeQimU8fX19fX19XQuaDQXP4HQSA0/sXdPJ82k0+m0En+bmk6ZsFOr1fIn3ns4vsbnKb1XkWVZcNO9m06nc+WdPdwC1Bm428JNV99KolAGAADg1tSrVy81/v7772VZrv3Mb//+/eoH/xqNZsKECcOHD+/WrZu/v7+Pj48kSeoheXl58+bNc35Go9H41FNPJSYm/vTTT4cPH05NTa2xJE1aWlpaWlpCQsKsWbPqfBrazB7a2uU0yHGBIbvd3uDXH2skUKeWHYS2qTXGrUHeMLAAAAAAAAAAABdRKAMAANDm1JirtqqqqsYem822bt06Je7YseOqVauCgoLq681ms7l+3hEjRowYMUKW5Zs3b2ZlZR08ePC7775Te9i2bVt4ePiYMWNatoc2ezlOdOnSRY0rKysDAwOdty8qKnLeoJUGoa1p8XFrkJcMLAAAAAAAAADARcyJBAAA0NbVmKxeCJGXl1dRUaHETz/9tJMP/oUQ165da+wZJUkKCgqKi4t75plnkpOTExMT1YfWr1///7F35+FRlWfjx8+ZPTNkMwskBAIBIoQljexrW6vhRVBaClJeFStW4CWCVSpWQXZcUHtVMCBUUxdSRESsVQEF5Qfl8iUCviFhC4iQQAhJSMg++/n9cdrjNMvMJCaZSeb7+cPrPnPuec495xhyZnLP8yjTLbbWCP7/chrq3r27EhcXF3vMv3jxovuEtj4JfqLVz5tHAXJiAQAAAAAAAABeolEGAADA79TW1rpuNlzu98qVK0rcv39/96MdP378xxSj0Wh++ctfpqamKrWVlZW17ggd6+XIXJfHOnHihMf8r776yn1Ce54EH2r18+ZRgJxYAAAAAAAAAICXaJQBAADwO5cuXVJik8lkMBjqJVgsFiVWq9VuhrJYLPv27fvxJY0ZM0aJq6qqWneEjvhyIiMjlblJdu/e7X7JngsXLlRUVLgfsP1Pgk+0+nnzKEBOLAAAAAAAAADASzTKAAAA+BdJkv72t78pmz//+c8b5kRGRipxfn6+m9EyMjLsdvuPr8p12pUuXbq07ggd8eUIgjBz5kw5qK2t3bt3b1NpkiRt2rTJ42jtfxJ8pXXPm0eBc2IBAAAAAAAAAN6gUQYAAMC/7N69+9SpU8rm1KlTG+bEx8cr8WuvvdboX/clSdqxY8eePXvcH+7999/PyclxP7FHXV3du+++K8cGg8G186BVRvCrl+O91NRUo9Eox1u2bPn2228b5sjdHhcuXPA4WiueBD/XuufNo8A5sQAAAAAAAAAAb9AoAwAA4HuSJNXW1ubk5CxZsuStt95SHr///vu7du3aMD84OHjs2LFyXFBQkJaWlp2dbTab5Udqa2uzs7MXL16cmZkpCML06dPdHPq7775bunTpzJkzt27dmp2dXVZWZrPZ5F0Oh6O8vPzgwYNz584tLy+XH5w/f74oiq07gl+9HO9pNJqnn35a2VyxYsXmzZuLioqcTqcgCFar9cyZM4sXL5ZX82m04clVK54EP9e6582jwDmxAAAAgJ8zdO112wsHuvQe7OtCAAAAEOg0vi4AAAAgsEybNq1eZ4YkSXKLQD2pqakzZsxoapyFCxdmZ2dXV1cLgnDt2rVnn3220bS0tLTk5OQPPvjAfVVWq/WTTz755JNP3KdNnDix0aWgfvwI/vZyvJScnPw///M/mzdvljf37NnT6KwkCxcu7NWr19///nf3o7XuSfBnrXvePAqcEwsAAAAAAAAA8IgZZQAAANqV0+l0/KeGXTIxMTFr16599NFH3Ux2YjQaN2/enJiY2FSCwWBYuXLlxIkTW6Xs4ODgJ598csGCBS2ef8X9CB3u5SgmTZr0/PPPm0ymRvdqNJqlS5feeeed3gzVzifBt1rxvHkUUCcWAAAAAAAAAOAeM8oAAAD4nkaj6dq1a69evfr37z906NDu3bt708ARGhr60ksvnT9//uDBg7m5uQUFBYIgREdHJyUljR49OiUlRavVehxkyZIlJSUl+fn5ly5d+v77769du1ZSUlJXV+d0OkNDQ3v27JmUlJSSkpKYmKhSNd5j/eNH8KuX0wIDBw7ctm3bN99887//+7/ffvvtzZs3w8LC+vXrN27cuFGjRhkMBu+HapWT0FG04nnzKKBOLAAAAAAAAADADVGSJF/XAAAAAACd1rx5844fP75gwYI5c+b4uhb/VV1dbTab9Xp9cHCwr2tBO6mpqamrq5NjlUp1yy23+LYetBur1VpZWSmKYkREhK9rQTux2WwVFRXKZlhYmEbDl/cCRWlpqSAIoaGh9CV3RLZr16XGlgmuR20Q1YYfvodgiu5VW/uvX/GL/vDHPzyz3JtjhQY5jHpHy+psLRoxmDn4f4zKykqr1RoUFNTU1KHofKqqqiwWixxrNJqwsDDf1oN2Yzabq6ur1Wp1eHi4r2tBO7FYLFVVVcrmLbfc0orfQoQ/czqdZWVlgn9c9Jqamp/+9KeCILz//vsJCQk/cjTelAIAAAAAAAAAgP+gjenaouf9MD1qiEHTIzyoteoBAAAAWguNMgAAAEBHYjabz58/n5ube+7cuWvXrpWXlzudTpPJ1LNnz969e/fu3XvAgAFdu3b1ZvWu1nL9+vX58+fL8erVqwcPHtxuhwYAAAAAAAAAoFlolAEAAAA6hmvXrmVmZh46dKjhLqvVWl5enp2dLW8GBwffe++9EydONBgM7VCYJEkOh4+nSQcAAEB7Ks/5/uJ7X3pMk1fZ0+v1Pp+nvU0Zw40RoT6+HzbGGHRShSAIosGgGd5TfrDOaHKI9obJTkn8qlDXRpU4JEmJz+QW79z2bRsdCO3G3j34hsrzNzEsFovT6dRoNB1xqbXbettDutS10eAaQbjVIogxP2mj8QEAQAvQKAMAAAD4O5vN9sYbb+zZs8fL/KqqqjfffDMjI+Pee++dMWOGTtdWH4IDAAAgMFWczT/5/N98XYW/iB3eWzKU+riGiYli0QlBEMTwSE3iMPnBOl28VShrmOyUVHsKTG1UiUNyKvF3Z0s/+SC3jQ6EdmP6ee+jZquvq2hbOpN4i72wjQY3qPS3VpgFGmUAAPAnNMoAAAAAfq2qqmrJkiVXr15VHomJifnlL385YMCAyMhIo9EoiqIkSWazuaSkJDc397PPPisoKBAEQZKkHTt26PX66dOn+658AAAAAAAAAAD8CI0yAAAAgP+qra199NFHy8vL5c3w8PCnnnoqKSmpXpooikajMT4+Pj4+fvLkyQUFBa+//npOTk671wsAAAAAAAAAgF/rzEvDAgAAAB2aJEkrV65UumQSExO3bt3asEumoR49eqxbt+7ZZ58NCgpq4xoBAAAAAAAAAOhIaJQBAAAA/NSBAwfOnj0rx5GRkc8995xer/f+6cOHD//rX//as2fPtqkOAAAAAJqhourqtn88VHwjz9eFAAAAINDRKAMAAAD4I5vN9vrrryubTz/9tE6na+4gRqNxxIgRrVoXAAAAALSEJAhOp0MQJF8XAgAAgECn8XUBAAAAABrx9ddfW61WOe7fv3+/fv3a6ECSJOXn5588efL06dPfffddWVmZRqOJi4vr16/f0KFDhwwZ0oIGHUEQbDZbVlbWkSNHzp07V15eHhYWlpycPHLkyOHDh6vV6mYNVVJScuTIkTNnzpw9e7ampsZgMCQmJiYlJY0ZMyY2NrYFtUmSlJube+jQoZMnT964cSMoKOjWW28dPnz4+PHjjUZjCwYEAAAAAAAAAHQUNMoAAAAA/uijjz5S4unTp7fFIWpqar744osPPvigsrLS9XGr1ZqXl5eXl/fpp5+KorhgwYLU1FRRFL0fOScnZ+3atXV1dcojpaWlBw4cOHDggMlkWrp06aBBg7wZp6KiYv369Tk5OfXKO3bs2LFjx955552EhIRnnnkmOjq6qRGuX78+f/58OV69evXgwYOLioqWL19eVFTkOmBWVlZWVtamTZsWL148YcIE718pAAAAAAAAAKBjYeklAAAAwO9YLJYLFy4omwMHDmyLoyxZsiQjI6Nel0w9kiSlp6evWrXK6XR6OWxWVg78ViwAACAASURBVNbSpUtdu2Rc1dTUPPPMM5999pnHcXJycn7729/W65Kp5+LFi7/73e+OHDnSVIIkSY5/EwThwoUL8+bNc+2SqZf88ssv79mzx2NtAAAAAAAAAIAOihllAAAAAL9z9epVJY6IiDCZTG13rPj4+LvvvnvAgAERERFBQUGCIDgcjvLy8qysrLfffttsNguCcOLEiczMzAceeMDjaMePH//www8FQYiLi5s3b15iYqLBYHA6nUVFRbt27dq/f7+c9vrrr8fExKSkpDQ1zqVLl5YuXapsJicnz549Oz4+XqvV2u32q1evZmZmHj16VN774osvrlmzJjk52X1tubm5O3fulCSpf//+s2fPTkhICAoKkiSptLR0586d+/btk9M2b948evTosLAwjy8WAAAAAAAAANDhMKMMAAAA4HcKCwuVuE+fPm10lKFDh27atGnjxo2pqak9evQwGo2iKIqiqNFooqKiJk+e/O677w4YMEBO3rlzZ3l5uccx5S6Z8ePHb9y4MTk5OSgoSBRFtVrdvXv3RYsWLV++XMl8/vnnbTZbo4M4HI5Vq1Ypmw899NCaNWv69eun0+lEUdRqtb169Vq6dOmjjz6q5Kxbt85qtbqvbfv27Xa7ffbs2S+++OKgQYPk16tSqaKjo9PS0h555BElc9euXR5fKQAAAAAAAACgI6JRBgAAAPA7JSUlStyzZ882OsqcOXPi4uLcJOj1+hUrVuj1enlz79693gwbFxe3ePFitVrdcNewYcPmzp0rx2azuakFmL788ssbN27I8cSJE3/1q181mpaamjpjxgxlNG+6W26//fbp06eLothw15QpU6KiouR43759kiR5HA0AAAAAAAAA0OGw9BIAAADgdyoqKpQ4PDzch5UYjcZp06Zt375dEIS9e/fOmjXL41PS0tJUqiY78idNmrRt27ba2lpBEHbs2HHPPfc0bFt57733lPihhx5yc6yZM2fu3r3bbrcLgrBr166ZM2e6ObQgCA8//HBTu0RRnDZt2pYtWwRBMJvNZWVlERERboaSXbt2bc2aNe5zqqur5TFdLyvqcTgcgiDYbDbOUuCQL7pMkiQufeBwOp0CFz3A1Gs/ra6ubrRpFR2LfDsHmdPp8JzUxux2h1YQBEFwOn/4iXM4nEIj7etA87jetnVWbfoaJclptVrNnfHOx/W8ORwO7u4Ch3xLz0UPKPJFV1RWVnJLHyCUd3P+cNGV9yD1/odsGRplAAAAAL/juiaRRuPhpr2ysvLBBx90k7Bu3bqkpKQWF5OSkiI3ypSXl5vNZoPB4CbZYDC4P5ZarZ42bdq2bdsEQaiuri4qKoqJiXFNKC0tVSbUuf32241Go5vRdDrdPffcI6/3ZLVaL126lJCQ4OaFBAcHuxlNWWdKEAQvG2Xq6uqysrLc58iLZzmdzqaWmoLC6XS2yhtddDiSJPEDEoC46AFL7nBFRxcIfzj3nj/MRSgpN1Eu1TBLIlqF5Oz8/yM52/KHRQqM94Pc0gcmLnrA4pY+APnDRW/df3NYegkAAADwO1qtVom9eRPicOtHfj4eGhqqxB6/KjRu3DiP3y247bbblPjixYv19ubn57uO5rG8UaNGKfGFCxfcZA4fPtz9UK6v9ObNmx4PDQAAAAAAAADocJhRBgAAAPA7ISEhStzWHRuSJBUUFOTm5p46derq1atFRUUWi8U1wXWGj8rKyq5du7oZrV+/fh6P6DrClStX6u29evWqEsfGxnocrVu3bkp8+fJlLzMbpdPplNhqtXo8NAAAAAAAAACgw6FRBgAAAPA7UVFRSuw6w0qjQkJCPv7443oPfvTRRxkZGR4P9M0332zZsqW4uNjLwjy2j7hW3pSgoCAlvnbtWr29ro+4Ngw1xWQyKbFrk01Der3e42jNFRQUNGbMGPc5N27cEARBrVa7NuKgHnn2I5VK5XGtMXQa8kWXY1EUXWfSQufmdDrtdjsXPaDUW4tBq9X6fG17/Hj8ynblD/9Hi6p/TR7v+vPFzxpahagShc6+2JqqLX9YREFQqVSd8v2g3W5XvlrD3V1A4ZY+AMkXXdnklj5wKO/m/OGit+7yT7yfAQAAAPyO60wqDRcn8oZarfaYs3Xr1k8++aQFg7vhzWd/rrXVm71G+M+1Zr35A4xK9cN6sg1Ha2sxMTEbNmxwnzNv3jxBEPR6vTd9PwGrurra4XBotdrg4GBf14J2UlNTU1dXJ8eiKPIDEjisVmtlZaXgXTckOgebzea6eqPJZKLHohMoc2l9hkrl+d67rWk0/6pBVP3wBwy1WtXZ2xvQHtRqtWDr5P8refMOusVEUaXT6fSd8c6nqqpKeRuuVqu5uwscZrO5urpapVJx0QOHxWKpqqpSNoODg10/kUMn5nQ6y8rKBP+46Mrv61aphDelAAAAgN/p3r27EpeUlNTW1hqNxtY9xMGDB5UuGZVKNWXKlNGjR8fGxsp/uxJFUfmKQGFh4fz5870c1psVi1zXcmrYWOP6bSRltgkvR2uLOWMAAAAAAAAAAJ0JjTIAAACA3zEYDAkJCcpcMqdPnx42bFgrju9wOLZs2SLHISEhGzduDA8Pd5Ps/cilpaUec2pra5U4Jiam3t6uXbsqcVVVlevKSo2qqalRYteZeAAAAAAAAAAAaIg5kQAAAAB/NHXqVCXeuXNn6w5eWFio9JcsWrTITZeMIAjXr1/3fuQLFy54zCkpKVHiuLi4entdHyksLPQ4mmt58fHxnksEAAAAAAAAAAQwGmUAAAAAfzR27FiN5l8TQJ45cyYvL68VB79y5YoS9+/f333y8ePHvR/58OHDkiS5zzlx4oQS9+7du97enj17KvHXX3/t8YhZWVlK3KdPH6+qBAAAAAAAAAAEKhplAAAAAH+k0+nmzp2rbK5fv95qtbbW4BaLRYnVarX7zH379nk/cl1d3blz59wkOByODz/8UI5NJlPDxZKioqIiIyPl+PPPPzebzW5Gs9lsH3/8sRzrdLqEhATvSwUAAAAAAAAABCAaZQAAAAA/NXHixL59+8pxcXHxihUrWqtXRulEEQQhPz/fTWZGRobdbm/W4Onp6U6ns6m9+/fvr66uluMZM2aIotgwZ+bMmXIgSdLf/vY3N8favXu30vQzdepUlYo3OAAAAAAAAAAAd/gcGQAAAPBToiiuXr06JCRE3jx16tT8+fPPnz/v8YkWiyU3N9dNQnx8vBK/9tprjbbCSJK0Y8eOPXv2NLNq4fLlyxs3bmy0VyY7Ozs9PV2O9Xr9lClTGh3hjjvuCA8Pl+OPPvqoqSltDh06tG3bNmW0GTNmNLdUAAAAAAAAAECgoVEGAAAA8F9dunRJT0/v1q2bvFlaWrp48eJHH310//79BQUFdXV1kiTJu2w2W0VFRU5OTnp6+r333vv111+7GTY4OHjs2LFyXFBQkJaWlp2drSxyVFtbm52dvXjx4szMTEEQpk+f7n3Bd999tyAIBw4ceOKJJ06dOiVPgeN0OouLi7du3frss88qmUuWLNHpdI0OolarXTPT09PXrVt3+fJluaHH4XBcuXLllVdeefnll5WcP/7xjwaDwfs6AQAAALSzsODus6e+Ex1xq68LAQAAQKDT+LoAAAAAAO6Ehoa+9tprr7/++v79++VH8vPzN2zY4M1zw8PD586dm5SU1HDXwoULs7Oz5VWQrl275tqY4iotLS05OfmDDz7wstpRo0YNGDBg/fr1Fy9efPrpp5tKe/jhh4cPH+5mnL59+65atWrVqlXyzDRHjx49evRoU8lPPPHE0KFDvawQAAAAAAAAABDImFEGAAAA8Hc6nW7RokXp6emjR4/28ikDBw5ct27dW2+9NXbsWFEUGyYYjcbNmzcnJiY2NYLBYFi5cuXEiRObW+24ceNWrlzZ1GwxQUFBa9asmTp1qsdxUlJS/vrXv/bv399NTs+ePbdu3fqzn/2suUUCAAAAAAAAAAITM8oAAAAAHUOPHj2efvrpurq6vLy8kydP5uXlXbt27caNG06nMygoKDY2tlevXnFxcf369evTp4/RaPQ4YGho6EsvvXT+/PmDBw/m5uYWFBQIghAdHZ2UlDR69OiUlBStVtuyUm+77bbMzMyjR48eOXLk7NmzN2/eDAkJSUlJGTly5KhRo9RqtZfjhIeHr1+/vri4+J///Ofp06fPnDlTXV1tNBpvvfXWpKSkMWPGxMXFtaxCAAAAAAAAAEBgolEGAAAA6EiCgoKSk5OTk5NbZTRRFBMTE93MKyMIQrdu3T7++OPmJuj1+gkTJkyYMOHHFxkdHT1t2rRp06a14Lkei3cVHBzsfTIAAEAgCx3Q8yfPPuAxrba2VhAEg8GgUnXmqc2DwgwRoU7f1qDtFqQVkgRBEPV6IbSn/GCQxqgT7Q2TnZI4uWfjE0D+eG+LKuWQ/QZETZ0+pI0OhHZj7R482IufYIvF4nA4tFpti79x4UNDutmDTRFtNLhGEgSD1EaDAwCAlqFRBgAAAAAAAADQDOGDeocP6u0xrbS0VBCE0NDQjviH807AzSST98S31UHVLgu/3jowatp/t06LP/xfZWWl1WoNCgoymUy+rgUAAMCDztzIDwAAAAAAAAAAAAAAACiYUQYAAABA53f9+vX58+fL8erVqwcPHuzbegAAAABrRU3dtRveZOqDRNFlphZVmL5cp3f6eLmnxrkuMFNdZbl2pcJnpfiOU6PSh4h6rYcrpLdbdXZb+5TUbKIodOnm6yIAAADaCo0yAAAACDizZs0ym80NHxdFUa/Xm0ymmJiY2NjYuLi4vn37xsfHG41u5ixHxyBJksPh8HUVAAAAwA/yPzpy+KEXvckcfVess6pK2YzY+OsNluBSc22bldZyNucPd90H931XduljHxbjKz0HRUdPDorpWuA+baBNc+vpfe1TUrNpTaopG31dBAAAQFuhUQYAAAABx+FwNNUzYbfba2pqiouLs7OzlQcTEhJmzJgxcuRIjYb7ZwAAAAAAAAAAOjCVrwsAAAAA/N3FixdffPHF+++//5///KckSZ6fAAAAAAAAAAAA/BLfiAUAAEBA2717t1qtVjYlSXI6nTU1NeXl5efPn9+7d29eXp68q7a2dv369SNGjHjqqae0Wq2P6gUAAAAAAAAAAC3HjDIAAAAIaKIo1ttUq9UhISHx8fF33HHHyy+//M477/z85z9XErKyspYtW9bUyk0AAAAAgEZVVF3d9o+Him/k+boQAAAABDoaZQAAAAB3wsLCHn/88RUrViiPnDlzJiMjw4clAQAAAECHIwmC0+kQBFazBQAAgI/RKAMAAAB4NnTo0GXLlimb//jHPwoKCnxYDwAAAAAAAAAAaAGNrwsAAAAAOoYRI0aMHDny6NGj8uabb765cuVKj89yOBynTp369ttvT58+nZ+fb7fbIyIiBg8e/JOf/GT48OE6na4FlUiSlJube+jQoZMnT964cSMoKOjWW28dPnz4+PHjjUZjc0dzOBzffvvtoUOHzpw5c+PGjdDQ0KSkpDvvvDM5ObneulSCIJSVlf2///f/srKyLl++bLPZevfuPXz48NTU1NDQUO+Lz8/PP3ny5OnTp7/77ruysjKNRhMXF9evX7+hQ4cOGTKkZefE4XDk5OQcOXLk9OnTxcXFdrs9KSlp3bp1LRgKAAAAAAAAANCJ0SgDAAAAeOuRRx5RGmVOnDhRVVUVHBzcVLIkSXv37s3IyLBYLK6PFxYWFhYW7tu3T61Wz50797/+678a9qMorl+/Pn/+fDlevXr14MGDi4qKli9fXlRUpORYrdasrKysrKxNmzYtXrx4woQJ3o928eLF5cuXV1ZWKjk3btw4fPjw4cOH4+Pjn3vuOeUFOhyON95449NPP3Ud8OzZs2fPnn333XcXLlx45513NnVcWU1NzRdffPHBBx+4Hk6uPy8vLy8v79NPPxVFccGCBampqc06J3l5eatXr643rM1mc19PU8rLy5966qmSkhJ5c+HChbfffnvLhgIAAAAAAAAA+BuWXgIAAAC8FR0d3bVrV2Xz5MmTTWXW1tY++eSTmzdvrtcl48rhcGzevHnNmjUOh6OpHEmSHP8mCMKFCxfmzZvn2iVTL/nll1/es2ePl6Pl5OT8/ve/r9dforh8+fJjjz1mtVoFQbDb7U899VS9LhlXGzdu/OKLL5raK1uyZElGRkZTh1MqTE9PX7VqldPp9PJVHDt27A9/+IP7Yb136dIl+Qw7HA5JklavXk2XDAAAAAAAAAB0JswoAwAAADTDpEmT3nrrLTk+fvz42LFjG+ZYLJbHHnvs+vXr8mZUVNSDDz44ZMiQkJAQURQtFkteXt5f/vKXy5cvC4Jw7NixV155ZcmSJR4PnZubu3PnTkmS+vfvP3v27ISEhKCgIEmSSktLd+7cuW/fPjlt8+bNo0ePDgsLcz/a//3f/+3atUsQhGHDht133309evTQarU2m+3ixYt//vOfCwsLBUEoLS198803/+d//ueVV17Jy8vT6/Vz5swZNWpUaGioKIqVlZV79+7NzMyUB9y4cePo0aO7dOni/rjx8fF33333gAEDIiIigoKCBEFwOBzl5eVZWVlvv/222WwWBOHEiROZmZkPPPCAx3Ny/Pjx3bt3C4LQt2/f3/72t3379pXPSXFx8ZEjRzw+vZ6srKy1a9fKsclkevnll7t3797cQQAAAAAAAAAA/owZZQAAAIBm6NevnxKfOXOm0ZwNGzYoXTJ33XXX1q1bJ0yYEBYWplKpRFE0GAxDhgx59dVXU1NT5Zx//vOfOTk5Hg+9fft2u90+e/bsF198cdCgQUajURRFlUoVHR2dlpb2yCOPKJlyB4x7O3fudDqd8+fPX758eZ8+fXQ6nSiKOp2uf//+GzZsiI6OltP27Nmzffv2I0eOxMbGZmRkTJo0KTw8XH4hoaGhM2fOXLx4sTLmP/7xDzdHHDp06KZNmzZu3JiamtqjRw+5flEUNRpNVFTU5MmT33333QEDBijllZeXe3wVH374oSRJv/zlL1955ZUhQ4Yo56Rbt26//vWvPT7d1e7du5UumdjY2K1bt9IlAwAAAAAAAACdDzPKAAAAAM0QFRWlxFevXpUkSRRF14QLFy4cPnxYjkeMGDFv3rx6CTKVSpWWlpaXl3fp0iVBEP785z+/8cYbjWa6uv3226dPn97orilTpnz00UclJSWCIOzbt2/OnDkeR5s0adJdd93V8HGdTrdgwYKVK1fKm9u3bxcE4fnnnw8ODm6YPGHChG3btsmNQZ999tmsWbOaOtycOXPc16PX61esWPHggw/K61Xt3bvXzWiK5OTkhx56yOOLdcPpdG7evFmZkmfw4MErVqzQ6XTePLeqqkq53E1Rlq9ysw4X5IW0nE4nZylwuK46J0kSlz5w2O12OeCiB456q0xarVY3606iU7LZbG4W1gxkyj+JXpBcN5xOpyRJTaXC5ySn5M0FkiS//rlo7m9q+cfc4XDwKz5wuP7bzi19QJF/f3HRA0q9mxar1fpjPotDB6Lc0vjDRVf+zWmVO2EaZQAAAIBmCAkJcd202+1ardb1kb/97W9K/Nhjj7l5/yCK4sKFC+UZWUpKSq5cudKjRw/3R3/44YfdjDZt2rQtW7YIgmA2m8vKyiIiItyP9uCDDza1a9CgQa6b06ZNCw8Pb+q4kydPzsjIEAShoqKiqqqq0X4aLxmNxmnTpsmtOV42ysyfP//HvEmzWq1r1qzJzs6WN1NTUxcsWKBSeTv1ZklJyfLly93n9OnTRz5QVVVVi+sMEDabzWaz+boK+IAkSfyABBoueiCrra31dQlob1z0ptTV1XmZWe+PAQ6Hw0mjjB9zOBwOu+eOQG9yfKXFv6mtVqv8VQEEGofDwd1doHE6nVz0gFVdXe3rEtDe/OGiK28rWqVRhqWXAAAAgGbQaP6j17ze96Hr6uqOHTsmxz/96U89toz07ds3KChIjr/++mv3ySkpKe4HVNYtEgShrKzM/WjDhg0zGo1N7dXpdF27dlU2f/GLX7gZKjExUYlv3rzp/rgepaSkyEF5ebnZbHafHB0d/WMWSKqqqlq0aJHSJfPggw8++uij3nfJAAAAAAAAAAA6HD4CBgAAAJrBfbu6vI6SbPz48R5HE0Vx8ODBcnz27Fn3ycOHD3efEBoaqsQeG1aGDh3qPiE2NlaJY2JiWuu4HrmOVlFR4T7Zm5PclKtXr86dO7ewsFDeXLp06a9//esWjwYAAAAAAAAA6BBYegkAAABohnpTyNSbYObKlStK3LNnT28G7NGjR1ZWliAI586dc5/ZrVs39wk6nU6JPU527TphTKOU+Wb0en29l1mPXq9XYo/r5kiSVFBQkJube+rUqatXrxYVFdVb0Np1jfPKykr3dXpcrKop2dnZy5cvl9ue9Hr9iy++mJCQ0LKhAAAAAAAAAAAdCI0yAAAAQDNUVla6bqrVatfNgoICJV60aJG8iI/cjSFJkhIIguB0OuVA6bypqqqSJEkUxaYO7dqP8uN5HE1ZgchgMLTWQb/55pstW7YUFxd7me+x3Sc8PLwFZbz99tt5eXlyHBER8fLLL0dERLRgHEEQ4uPjv/jiC/c5Tz31lCAIQUFBt9xyS8uOEghqamosFotOp+vSpYuva0E7qa2tVZZXU6lUYWFhvq0H7cZqtVZXV4ui2LJ/w9ER2e121zuokJAQ9z246Ezk9UCDg4O1Wq2va/FH5V7f+YiiynVmS61Wo3IyW7z/0mg03vxDp9H67z+Goig29/1LVVWVzWYzGAxuFvlFJ1NdXa28bddoNCEhIb6tB+3GYrHU1NTwPi6gyO/jlM2wsDDWLg8QTqdTnkHcHy668oF2q1Tiv/dhAAAAgB8qKSlR4u7du9fra6mrq1Ni5Q/AHV1rvQXaunXrJ5980ipDKVr2ZzalS0YQhPvuu6/FXTKCIKjVao9/6JX/JxFF0edvJv0ZZykA1fv3k0sfOJRrzUUPHA1/3rn6gYaL3hQ3XfKen9qahaC1iYLg1RXy68vY3B9bbukDELf0AYuf9wDELT384aK3bgE0ygAAAADNcP78eSUeOHBgvb18PbopBw8eVLpkVCrVlClTRo8eHRsbazKZNBqNKIrK++3CwsL58+e3aTF33HHHV199Jc/ls2HDBqPROGbMmDY9IgAAAAAAAADAT/A5PgAAANAMe/bsUeLbbrut3t6uXbsq8fbt200mUzuV5d8cDseWLVvkOCQkZOPGjW5mYVHWomo7P//5z3/9618//vjj8qw/L7zwwsKFC++88862Pi4AAAAAAAAAwOeYEwkAAADwVnFx8fXr15XNIUOG1Evo3bu3Ersu0hTgCgsLa2pq5HjRokXu1ypyPcNtp3v37ps2berSpYu8uXHjxo8++qgdjgsAAAAAAAAA8C0aZQAAAABvvfnmm0o8bNgwpc1C0atXLyU+fvx4+1Tl/65cuaLE/fv3d5/cbuctMjJy06ZNStdORkZGZmZm+xwaAAAAAAAAAOArNMoAAAAAXjl+/PjXX3+tbM6ZM6dhTmho6IABA+T4/ffft9vt7VScf7NYLEqsVqvdZ+7bt6/tK/qXsLCwTZs2xcTEyJs7duzYunWrJEntVgAAAAAAAAAAoJ3RKAMAAAB4dvLkydWrVyub99xzT1xcXKOZs2fPloO6urq//OUv7VGc34uMjFTi/Px8N5kZGRnt3F1kMpleffXV+Ph4efOTTz559dVX6ZUBAAAAAAAAgM6KRhkAAADAnaqqqvT09GXLlinNEwMHDmx0Ohll77hx4+R4z549GRkZDofD/SFKS0vffffdmpqa1qrZ3yhtKIIgvPbaa422wkiStGPHjj179rRjXf9iMBheeeUVZU2oL7/88oUXXvB41QAAAAA0S1hw99lT34mOuNXXhQAAACDQ0SgDAAAA/AdJkmpqaq5evXro0KGlS5fed999rosBDRs2bPXq1SqVuxvpxx57TFnN56OPPnrggQc+/fTToqIiq9UqP+h0Omtqai5fvrx3797f//73c+bM2blzp9PpbLsX5VvBwcFjx46V44KCgrS0tOzsbLPZLD9SW1ubnZ29ePHizMxMQRCmT5/e/hXqdLrnn38+JSVF3vz6669XrlzJylkAAAAAAAAA0PlofF0AAAAA4EvTpk0TRVGOJUly061iNBrT0tLGjRun5DdFr9e/+uqra9asycnJEQShurp6y5YtrVhzR7Rw4cLs7Ozq6mpBEK5du/bss882mpaWlpacnPzBBx+0b3WCIAhqtXrFihUvvfTSkSNHBEHIzs7+4x//+Nxzz+l0uvYvBgAAAAAAAADQRphRBgAAAAHN6XQ6/q2pLplevXotWbLk3XffHT9+vMcuGZnBYFi7du2yZctCQ0PdZ4qimJqaunHjxuDg4GZX33EYjcbNmzcnJiY2lWAwGFauXDlx4sT2rKoelUq1ZMmSO+64Q97My8t74okn6urqfFgSAAAAAAAAAKB1MaMMAAAA8AODwWAymWJjY2NjY7t3796vX7/evXsbjcYWDCWK4ogRI9555538/Pxvvvnm/PnzeXl5N2/eFAQhOjq6R48effr0GTJkSGJiolarbe3X4Y9CQ0Nfeuml8+fPHzx4MDc3t6CgQBCE6OjopKSk0aNHp6Sk+MN5EEVx4cKFJpPp73//uyAI+fn5ixYt+tOf/tS525gAAADgExqToUt8V28ytZG3OI0GZVMl6UJ1Bknyqom/nbl+tSDIqI2MMvmwGF/pEmzootMZNR5eu9YpCcaI9imp2bQteRcMAADQUYiSJPm6BgAAAADotObNm3f8+PEFCxbMmTPH17X4r+rqarPZrNfr6UkKHDU1NcqMTSqV6pZbbvFtPWg3Vqu1srJSFMWICH/90yBam81mq6ioUDbDwsI0Gr68FyhKS0sFQQgNDfWHlmi0D5PJVFtbK8fLli1bs2aNaeAUEwAAIABJREFUb+tBu6msrLRarUFBQSZTIHZHBaaqqiqLxSLHGo0mLCzMt/Wg3ZjN5urqarVaHR4e7uta0E4sFktVVZWyecstt6hULFwTEJxOZ1lZmeAfF72mpuanP/2pIAjvv/9+QkLCjxyN/4MBAAAAAAAAAAAAAAAQEPj2BgAAABDoamtrT58+nZube+7cuevXr9+8eVOr1UZERPTr1y8hIWHQoEG9e/duz28MXL9+ff78+XK8evXqwYMHt9uhAQAAAAAAAACdG40yAAAAQOAqKCh4++23s7Ky6j1ut9uvXLly5cqVr776ShAEvV4/c+bMKVOmGAyGdqhKkiSHw9EOBwIAAAA6KGv+1avr/uw+J3Ttz5zBlhYMfrEk8rWvjC2qS7A6JCU+/OX3K82fue6NvSP0Rtfqlo0cULpotEnhVvc5gysqIovzlM06c/iXK043lXzH39cGdWOlSwAAgH+hUQYAAAAIRDabbfPmzfv37/cm2WKxvPPOO5mZmb/73e/uuusuURTbujwAAAAAbjgtlrqz593ndFENtTsrWjB4tdVw6pq9RXUJTumHRpmKsrrvz99w3asbrrpsLGvZyAElTB8UY6x1n2O1VAvl3yubougo/eZcU8lOawsvKAAAQKdEowwAAAAQcKqqqp588snCwkLlkW7duv3mN79JTEyMjIzU6/WCINjt9oqKigsXLnz++efHjh0TBMHhcGzZsqVXr14DBw70WekAAAAAAAAAAPwINMoAAAAAgaWurm7RokU3bvzrm51Go3HZsmUDBw6sN0+MVquNjIyMjIwcNWpUeXn5G2+8cfjwYV/UCwAAAAAAAABAq1H5ugAAAAAA7UeSpLVr1ypdMgkJCRkZGYMGDXK/mlJ4ePiTTz65atUqnU7XLmUCAAAAAAAAANAmaJQBAAAAAsihQ4dycnLkOCQk5IUXXjAajV4+NyUl5S9/+YvJZGqz6gAAAAB0WhVVV5f/991FJ8/5uhAAAAAEOpZeAgAAAAKF3W5PT09XNpcsWWIwGJo1Qnh4eHh4eGvXBQAAAKDzkwTB4bD7ugoAAACARhkAAAAgYBw9etRsNstxr169Bg8e7Nt6msVms2VlZR05cuTcuXPl5eVhYWHJyckjR44cPny4Wq32ZgRJkvLz80+ePHn69OnvvvuurKxMo9HExcX169dv6NChQ4YMYWEpAAAAAAAAAOj0aJQBAAAAAsXf//53Jf7Nb34jimKrDHv48OE//elPcpyZmel+LaecnJzly5fL8datW6Oiorw5RE5Oztq1a+vq6pRHSktLDxw4cODAAZPJtHTp0kGDBrl5ek1NzRdffPHBBx9UVla6Pm61WvPy8vLy8j799FNRFBcsWJCamtpapwUAAAAAAAAA4IdUvi4AAAAAQHuwWq1nz55VNltxOhlJkhz/5k2+kixJkjf5WVlZS5cude2ScVVTU/PMM8989tlnbkZYsmRJRkZGvS6ZeiRJSk9PX7VqldPp9KYqAAAAAAAAAEBHxIwyAAAAQEAoLCxU4vDw8ODgYB8W473jx49/+OGHgiDExcXNmzcvMTHRYDA4nc6ioqJdu3bt379fTnv99ddjYmJSUlLcDBUfH3/33XcPGDAgIiIiKChIEASHw1FeXp6VlfX222/Li1KdOHEiMzPzgQceaPtXBgAAAAAAAADwAWaUAQAAAALClStXlLhPnz4+rKRZ5C6Z8ePHb9y4MTk5OSgoSBRFtVrdvXv3RYsWKas4CYLw/PPP22y2RgcZOnTopk2bNm7cmJqa2qNHD6PRKIqiKIoajSYqKmry5MnvvvvugAED5OSdO3eWl5e3w0sDAAAAAAAAALQ/GmUAAACAgFBSUqLEPXv29GElzRUXF7d48WK1Wt1w17Bhw+bOnSvHZrO5qQWY5syZExcX5+YQer1+xYoVer1e3ty7d++PKxkAAAAAAAAA4KdYegkAAAAICBUVFUocERHhw0qaKy0tTaVqssV/0qRJ27Ztq62tFQRhx44d99xzjyiKLTiK0WicNm3a9u3bBUHYu3fvrFmzvHnWxYsX7733Xvc58vw9tbW1paWlLSgsoFgsFovF4usq4ANOp5MfkEAjSRIXPWDdvHnT1yWgvbneiKK12L34UbLb7S0cvKVPRGtxOpwec+pdJvdXraysrM7YHl+crqurq6ura4cDwd/Y7Xbu7gKNw+HgogessrIyX5eA9uYPF13+BFgQBKfT852SR8woAwAAAAQE12WJNJoO0zFvMBiSkpLcJKjV6mnTpslxdXV1UVFRi4+VkpIiB+Xl5WazucXjAAAAAAAAAAD8Fo0yAAAAQEDQarVK3IG+ITpu3DiPM8TcdtttSnzx4sUWHys0NFSJ+d4zAAAAAAAAAHRKHeaLpAAAAAB+jJCQECUuLy/3YSXN0q9fP485Xbt2VeIrV640lSZJUkFBQW5u7qlTp65evVpUVFRvlR/XSTsrKytdhwUAAAAAAAAAdA40ygAAAAABISoqSonz8/N9WEmzuJbdlKCgICW+du1aoznffPPNli1biouLvTyu1Wr1Ji0iIuL3v/+9+5wvvvhCEAStVmsymbw8egCyWCx2u12j0ej1el/XgnZitVqVJeFEUTQajb6tB+3G4XCYzWYuekCRL7qyGRQUpFIxy3WgqKmpEQTBYDCo1Wpf19LZWF3ugZuiUqmcHpOaeGKLnodWI6o8TKspNLhMardXzWg0Gtv4/YjZbHY4HFqtVqfTtemB4D/k93FyrFKpgrz4dwmdg91ut1gsXPSAIl90ZdNoNHqcARqdgyRJtbW1Qme86DTKAAAAAAGhe/fuSvzdd9/5sJJm8eYzVte/u9SbJEa2devWTz75pDXL+rfQ0ND777/ffc7hw4cFQdBqtXx+5IbD4bDb7Wq1mrMUOJxOp2ujDJc+cFitVrlngoseOGw2m2ujjF6v12j4TDJQyI0yer3edRlQtArRi/ZiGmU6Lm/+EFXvMolur5rBYGjr37w2m83hcGg0Gn7FBw673U6jTGAym80Wi4X3cQHFYrG4fuZmMBi4WwgQTqdTbpTxh4uuTAfeKpXwphQAAAAICLGxsUp848aNqqqq4OBgH9bjJW9mdnFdMqlhY83BgweVLhmVSjVlypTRo0fHxsaaTCaNRiOKovIZdGFh4fz581upcAAAAAAAAACAP6JRBgAAAAgIBoOhb9++Fy5ckDdPnTo1atSoVj+KJEnuExwOR7MGLC0t9Zgjf61BFhMTU+9wW7ZskeOQkJCNGzeGh4e3Vm0AAAAAAAAAgA6HOZEAAACAQPGrX/1Kid977z2PTS1ecl35yGOviTeNL66Uzh43SkpKlDguLs51V2FhoTzhvyAIixYtctMlIwjC9evXm1UbAAAAAAAAAKDDoVEGAAAACBSjRo3S6/VyfPHixdOnT7fKsCEhIUpcVVXlPjk3N7dZgx8+fNhjQ8+JEyeUuHfv3q67rly5osT9+/d3P87x48ebVRsAAAAAAAAAoMOhUQYAAAAIFFqtdt68ecrm+vXrLRZLs0aoqKjIz8+v92BkZKQSf//9926ebrVaDx482Kwj1tXVnTt3zk2Cw+H48MMP5dhkMsXGxrrudX2BrjPfNGSxWPbt29es2gAAAAAAAAAAHQ6NMgAAAEAA+cUvfqFMrFJeXr506VKz2ezlc3Nych555JGGc8ZER0eLoijHH3/8sZsRduzY4XQ6m1mykJ6e7uZZ+/fvr66uluMZM2Yolchcm3gatvi4ysjIsNvtza0NAAAAAAAAANCx0CgDAAAABBBRFFeuXBkaGipv5uXlPfzww3l5ee6fVVVVtWHDhqa6atRq9bhx4+T47NmzR48ebXSQL7/8cufOnS2o+fLlyxs3bmy0VyY7Ozs9PV2O9Xr9lClT6iXEx8cr8WuvvdZoK4wkSTt27NizZ08LagMAAAAAAAAAdCw0ygAAAACBxWg0vvbaa127dpU3q6qq/vCHP6SlpR0+fLioqMhms8mPOxyOioqKb7/99qWXXrrvvvv279/vZswHHnhAidetW7d9+/abN29KkiQIgsViOX/+/MqVK//85z+r1eoZM2Y0q9q7775bEIQDBw488cQTp06dslqtgiA4nc7i4uKtW7c+++yzSuaSJUt0Ol29pwcHB48dO1aOCwoK0tLSsrOzlXaf2tra7OzsxYsXZ2ZmCoIwffr0ZtUGAAAAwHthwd3X7djTbcitvi4EAAAAgU7j6wIAAAAAtLfQ0ND09PT09PSvvvpKfqSgoOCll15y/yyVSvXQQw8NGDCg4a5u3brNmjVr+/bt8ub27duV2NULL7xgtVqbNa/MqFGjBgwYsH79+osXLz799NNNpT388MPDhw9vdNfChQuzs7Pl5ZmuXbvm2lvjKi0tLTk5+YMPPvC+NgAAAAAAAABAh8OMMgAAAEAg0ul0jz/++IYNG1JSUjwmazSa+++//7333ps6dapK1fibiN/85jfz589vaoTIyMj09PRbb23Jl0fHjRu3cuXKhrPFyIKCgtasWTN16tSmnm40Gjdv3pyYmNhUgsFgWLly5cSJE1tQGwAAAAAAAACgY2FGGQAAACBw9erVa9WqVVVVVWfOnMnJyTl37tz169dv3ryp1WojIiL69euXkJAwePDghIQEtVrtfihRFO+6667x48cfOnTom2++OXfuXG1tbWRk5MCBA3/2s58lJyd7HMGN2267LTMz8+jRo0eOHDl79uzNmzdDQkJSUlJGjhw5atQojyOHhoa+9NJL58+fP3jwYG5ubkFBgSAI0dHRSUlJo0ePTklJ0Wq1La4NAAAAAAAAANCB0CgDAAAABLrg4OARI0aMGDGiVYaaPHny5MmTm0oYPHjwxx9/7H6Qbt26NczR6/UTJkyYMGFCywoTRTExMdHNvDJNHRcAAADwQ7q42F4b1rnPUetDRUNLutV/Eqv+y383PqGjR2NXqcz/jkf/NP6xhamue1URKiFIatnIAUUliqE6Dycq+JZaVY+fK5uaWmnSwWlNJRuiw1qtOAAAgI6PRhkAAAAAAAAAADoSVZDBmDywjQa/JUi4pUcLn6sSf4gjoky3DuzaKiWhEYb/2NIJQreePqoEAACgo1H5ugAAAAAAAAAAAAAAAACgPTCjDAAAANAxmM3mWbNmyfHChQtvv/32FuRcv359/vz5crx69erBgwe3Wb0djzdnGAAAAPArdafz6s6eb3SXKUqlkixyrI4JE9UOQRCqjOHFRlNFteFCUUtWZfLI4fxhwSC7UFpjz22Lo3Q4V9+55Ki1t/qwAx79ZauPCQAAEAholAEAAABazaxZs8xmc8PHRVHU6/UmkykmJiY2NjYuLq5v377x8fFGo7FZ4zscDjlwOp0ty5EkSUlAQ96cYQAAAMB/VP/v8ZK3dzS6q9fErvai7+Q4aMpYqaZAEITyvuP+z6S/XtIj42Dr920IgmD7j0aZq5XWI21xlA7n23X7a78va+VBRZFGGQAAgJahUQYAAABoNQ6Ho6k2FLvdXlNTU1xcnJ2drTyYkJAwY8aMkSNHajTcmQMAAAAAAAAA0Ob4OB4AAADwmYsXL7744otGo/HRRx8dO3asKIq+rqhTqaysfPDBB+X4ySefHDNmjG/rAQAAAAAAAAD4HI0yAAAAQJvYvXu3Wq1WNiVJcjqdNTU15eXl58+f37t3b15enryrtrZ2/fr1I0aMeOqpp7RarY/q7ZyUCX4kSXKfCQAAAAAAAAAIBDTKAAAAAG2i3vQwoiiq1eqQkJCQkJD4+Pg77rjj5s2bf/3rX7/66is5ISsra9myZc8995xre40rg8Hw8ccfuz+oNzloCmcPAAAAaDt5Z6/dOWrtzs8eHzGmr69rAQAAQEBT+boAAAAAIECFhYU9/vjjK1asUB45c+ZMRkaGD0sCAAAAgDYiSZLN5mCqRwAAAPgcjTIAAACALw0dOnTZsmXK5j/+8Y+CggIf1gMAAAAAAAAAQCfG0ksAAACAj40YMWLkyJFHjx6VN998882VK1e2ZwE2my0rK+vIkSPnzp0rLy8PCwtLTk4eOXLk8OHDm1oHqiklJSVHjhw5c+bM2bNna2pqDAZDYmJiUlLSmDFjYmNj26h+AAAAAAAAAAC8RKMMAAAA4HuPPPKI0ihz4sSJqqqq4ODgejlms3nWrFlyvHDhwttvv73hON7k1JOTk7N27dq6ujrlkdLS0gMHDhw4cMBkMi1dunTQoEHevISKior169fn5OS4Pmi1Wo8dO3bs2LF33nknISHhmWeeiY6ObmqEw4cP/+lPf5LjzMxMo9Hovuzly5fL8datW6Oiolz3Lliw4Nq1a5LLrO7r169XqRqZUHPnzp0azb/eFrXg7AEAAAAAAAAAOhaWXgIAAAB8Lzo6umvXrsrmyZMnG01z/JvT6WxqKG9yFFlZWUuXLnXtknFVU1PzzDPPfPbZZx7HycnJ+e1vf1uvS6aeixcv/u53vzty5EhTCZIkKcV7PKLg8kpdG2Jcd7meAdfBXTU1pjdnDwAAAAAAAADQ4TCjDAAAAOAXJk2a9NZbb8nx8ePHx44d29ZHPH78+IcffigIQlxc3Lx58xITEw0Gg9PpLCoq2rVr1/79++W0119/PSYmJiUlpalxLl26tHTpUmUzOTl59uzZ8fHxWq3WbrdfvXo1MzNTmS/nxRdfXLNmTXJyclu+MgAAAAAAAAAAGkejDAAAAOAX+vXrp8RnzpxphyPKXTLjx49/4okn1Gq1/KBare7evfuiRYvGjBmzevVq+cHnn38+MzNTq9U2HMThcKxatUrZfOihh371q18pm1qttlevXkuXLv38889fe+01+cF169Zt27ZNp9O10esSBGHLli2CINy8eXP27NnyI08++eT48ePb7ogAAAAAAAAAgA6BRhkAAADAL0RFRSnx1atXJUkSRbGtDxoXF7d48WKVqpElWYcNGzZ37tytW7cKgmA2mz/77LOpU6c2TPvyyy9v3LghxxMnTnTtknGVmpp6/fr1nTt3yqPt2rVr1qxZrfYymuD6uhp9jT9ecXFxenq6+5za2lpBECwWS1VVVVvU0DnY7XZBEGw2G2cpcMgXXSZJEpc+cMhr23HRA0q9BQ1ra2vb4SYHfqW2traNbsYgCILVam1ql8PhUM6789+xvPyol6udorU0XC62VfjVL1P57s5qtbKObeBwvaV3OBx+9T8k2pT8S8TpdHLRA0e9f9urq6u5pQ8Qyj2MP1x0+VNWocH/kC1DowwAAADgF0JCQlw37XZ7ozO4tK60tDQ3f7SYNGnStm3b5HcgO3bsuOeeexq+HXrvvfeU+KGHHnJzrJkzZ+7evVv+HG3Xrl0zZ87sBH8vqa6u/vTTT93n9OnTRxAEh8NhsVjapagOzOl0cpYCkyRJXPoAxEUPWG7+qI/Oymaz+bqEzsz1D9X1uDZnOCVJvvmWnE7hX39d4O9bHZ4f/jJ1OBy0YQUmbukDEBc9kHFLH4D84aK37r85Hf6DaQAAAKBz0Gj+o4u9HT5bNBgMSUlJbhLUavW0adPkuLq6uqioqF5CaWlpSUmJHN9+++1Go9HNaDqd7p577pFjq9V66dKllpUNAAAAAAAAAECL0SgDAAAA+IU2movbjXHjxnmcMPO2225T4osXL9bbm5+f7zqaxyOOGjVKiS9cuOBVlQAAAAAAAAAAtB6WXgIAAAD8Qr0pZOpNMNMW+vXr5zGna9euSnzlypV6e69evarEsbGxHkfr1q2bEl++fNlziX5Pp9N5PI1yN5JKpWqHa9pxOZ1Op9OpUqk6wYJc8JJ80ZVNfkAChyRJDodDFEW1Wu3rWtBO5IuubKrVap+vbY92I68KxEVvU25un1xPu/ifD6q4Ip2CX91BORwOSZK4pQ8orrf03N0FFG7pAxC39IFMvqX3h7uO1q3B968HAAAAgCAIlZWVrpvt8FlDVFSUx5ygoCAlvnbtWr29ro+EhIR4HM1kMimxa5NNxxUXF7d9+3b3OfPmzRMEwWAwhIWFtUtRHVJ1dbXZbNZqtcHBwb6uBe2kpqamrq5OjlUqFT8ggcNqtcq/8rjogcNms1VUVCibwcHB/vAZK9pHaWmpIAhdunTRarW+rqXTshkMVU3sUqvVyqyVao1GsPw7+Nd/7e1RHwRB+M+mpVbkV79MKysrrVarXq93fd+Hzq2qqspiscixWq32q/8h0abMZnN1dTXv4wKKxWKpqvrhjiM0NJS2yADhdDrLysoEQQgJCfH5RVfeU7RKJfwfDAAAAPiFkpISJe7evXs7fC1Dp9N5zHHt11E+/1LYbDYl9uYvXq7vYRqOBgAAAAAAAABAW6NRBgAAAPAL58+fV+KBAwe2wxGtVqvHHNeFURo21rh+M7je0lEeR9Pr9Z5LBAAAAAAAAACgVdEoAwAAAPiFPXv2KPFtt93WDkeUZ8J3r7a2VoljYmLq7e3atasSu86/2pSamholjo2NdZMpSZKbvYJ3fTkAAAAAAAAAANRDowwAAADge8XFxdevX1c2hwwZ0g4HvXDhgscc1wWh4uLi6u11faSwsNDjaK6vMT4+vt5e12WePPbBeNPlAwAAAAAAAABAPTTKAAAAAL735ptvKvGwYcO6dOnSDgc9fPiwx4lbTpw4ocS9e/eut7dnz55K/PXXX3s8YlZWlhL36dOn3t6QkBAl9jg/TW5ursfDufL4SgEAAAAAAAAAgYBGGQAAAMDHjh8/7tplMmfOnPY5bl1d3blz59wkOByODz/8UI5NJlPDxZKioqIiIyPl+PPPPzebzW5Gs9lsH3/8sRzrdLqEhIR6CcpQgiB8//33boayWq0HDx50kyBTqX54v2O32z3mAwAAAAAAAAA6PRplAAAAAF86efLk6tWrlc177rmn4QpHbSc9Pd3pdDa1d//+/dX/n707j4+quh//f+5MMpkkJCFAAoRAWAMEQ8qm7FqqoQIKRhBTP6JiKwgCfqViERcWqS3Vz8MWwmpjUQJK2AoioOAHwfwsYbEYCCFgSgKEbGxZZ7+/P269nYZkMkwmmSTzev7h431nzpzzvvfM4CzvnFNersRTpkyRJOnONlOnTlUCWZY3b97sYKydO3cajUYlnjhxon0ViyI8PFwdQi2pqdFnn33mIG2VXq9XY/s9pAAAAAAAAAAAXotCGQAAAMAzysrKkpKS3njjDXVXoH79+jXacjKK3NzclStX1lh0cvr06aSkJCX28/ObMGFCjT08+OCDoaGhSrxr164DBw7U2OzIkSObNm1Se5syZcqdbbRa7ciRI5U4Kyvr2LFjNXb19ddfp6am1npKdnx8fAIDA5X4+PHjzjwEAAAAQAPp3Tciv2LtfSN6ejoRAAAAeDsKZQAAAIBGIstyRUXF1atXjxw5smjRoqeeesq+rGTw4MFLly69c52VhvPII48IIQ4dOvTKK6+cPXvWZDIJIWw2W1FR0fr1699880215YIFC3Q6XY2daLVa+5ZJSUnLly/Pzc1VtjqyWq1Xrlx5//3333vvPbXN7373O/u1Xuw9/fTTarx8+fItW7bcunVLKSQyGo0XLlxYvHjxBx98oNVqayy1udOYMWOUICsra8+ePWVlZWpZEgAAAAAAAADAC/l4OgEAAACgZUpISFA3EpJl2cFWQQEBAbNnzx45cmSNexs1nKFDh/bt23fFihU5OTkLFy6srdnzzz8/ZMgQB/307NlzyZIlS5YsUc7x2LFjtS0GI4R45ZVXBg0aVNu9HTp0SExM3LJli3K4ZcsWNbb3hz/8wWQyObOuzKRJk/bs2aPEGzZs2LBhgxBCo9Golzo1NdXHh49FAAAAAAAAAOAtWFEGAAAAaBA2m836k9qqZLp27bpgwYJPPvlk1KhRjVwloxg5cuTixYtrWy3G399/2bJlEydOrLOfAQMGfPTRR3369HHQpkuXLuvXr3/ggQccd/Xkk0/OnDmztnvbtWuXlJTUu3fvOlNShIWFvfbaa9Wurf3UONkPAAAAAAAAAKBl4E8nAQAAgMag1+sDAwMjIiIiIiI6derUq1evbt26BQQEeDovMXDgwJSUlGPHjqWlpWVlZd26dSs4OHjAgAH33Xff0KFDtVqtk/2EhoauWLGiqKjo22+/zczMPHfuXHl5eUBAQO/evWNiYoYPHx4ZGelMP5IkjRs3btSoUUeOHDl+/Pj58+crKyvbtWvXr1+/Bx54IC4uzvmUFCNGjPj000//8Y9/HD9+/NKlSwUFBcq2UAAAAEALoI/u3nr8gzXepemhk7pF//ugXSepXVchRGCrzt1atQq2BU3qf3fvq52UoZHUvxLQijYBPo6K6b1H1wSL5VaVmzv1xN9aAAAAtAwUygAAAABus3XrVs8moNfrd+/e7aBBhw4d7mzg5+c3evTo0aNH1z+B8PDwhISEhISEevYTFBQ0fvz48ePH19YgNjbW8Zna8/f3//nPf/7zn//ccbM6rx4AAADQ1ASNvC9o5H3Ot28nRDshRJiI79kg+fxBI5l/in1F5xDd/Q0yTHNz35+4DgAAAE0IWy8BAAAAzYP9/k13u6oKAAAAAAAAAAAQrCgDAACAFs9gMCQmJirxnDlzxowZ49l8XGYymdQ4KCjIg5kAAAAA8Cq2yiohy/8+kIRG59SmP2arrcLo1Lanvj42X0//Va8k+QrBZkYAAABegUIZAAAANG+JiYkGg0GJt2/frtHU8PWq1WpVAvtFWTzOPvO71aZNG/cmAwAAAAC1+fG5eeaCIiUOio3o9ItaP8hItv/U9398Iv+rD4440//LY7QP9suqZ5L1FO7/K63EHyQAAAB4BQplAAAA0LxZrVa1DqZ5qU/mnTp1cm8yAAAAAAAAAAB4A0+vZggAAADgLg0YMMDPz8/TWQAAAAAAAAAA0PywogwAAADgeTt37tRqtXfevmbNmn379lW78Te/+U2jJAUAAAAAAAAAQEvDijIAAACA50mS5Ex4BFEoAAAgAElEQVQzrVb75ptvRkZGNnQ+AAAAAOBGhqLc7xeNLb90xtOJAAAAAKwoAwAAADR5gYGBPXv2HDp06P3339+qVStPpwMAAAAAd0mWZatFyLKn8wAAAAAolAEAAACasBdffPHFF1/0dBYAAAAAAAAAALQQFMoAAAAA/8VqtZ49e/b777/PzMzMy8uzWCxt27aNjY392c9+NmTIEJ1O5+kEPcZqtWZkZKSlpWVmZhYVFVkslpiYmOXLl9/Zsri4OC0t7dy5c1lZWRUVFXq9Pjo6OiYmZvjw4REREa6Nbjab09PT09LSzp8/f/PmzdatW8fFxd13331DhgzRarXO9CDLcl5e3g8//JCZmfnjjz/euHHDx8cnMjKyV69egwYN6t+/vzdPLgAAAAAAAAB4CQplAAAAgH+TZXn//v3JyclGo9H+9vz8/Pz8/AMHDmi12hdeeOGXv/ylJEmeSrI2R48e/d///V8lTklJCQgIcNA4IyPjrbfeUuL169eHhYVVa1BYWDhz5kwlXrp0aWxsbHZ29tKlS0tLS+2bmc3mag+8ffv2ihUrMjIy7G80mUwnTpw4ceLExx9/3L1799dffz08PNxBeneOnpGR8c4771RVValtSkpKDh06dOjQocDAwEWLFt1zzz0OOqyoqPjqq6+2bdtWLX+TyZSdnZ2dnb13715JkmbNmhUfH98EJxcAAAAAAAAA4C4aTycAAAAANAmVlZWvvvrqmjVrqlXJ2LNarWvWrFm2bJnVam3M3Jwhy7L1J860VxvLslxnbydOnPjtb39brcrkThkZGc8++2y1KplqcnJyfv3rX6elpTloU2309PT0RYsW2VfJ2KuoqHj99de/+OILBx0uWLAgOTnZcf6yLCclJS1ZssRmszloBgAAAAAAAABo1lhRBgAAABBGo3HevHmFhYXKYVhY2DPPPNO/f//g4GBJkoxGY3Z29oYNG3Jzc4UQJ06ceP/99xcsWODRlBvPyZMnd+7cKYTo2bPns88+27NnT39/f1mWi4qK7OtdLl26tGjRIvUwLi5u2rRpUVFRvr6+Fovl6tWrKSkpx44dU+794x//uGzZsri4OGdG37FjhxAiMjJyxowZ0dHRer3eZrMVFBRs37794MGDSrO1a9d27NhxwIABDrqKiop65JFH+vbt27ZtW39/fyGE1Wq9efNmenr6xo0bDQaDEOLUqVMpKSlPP/303V4lAAAAAAAAAECzwIoyAAAAgPjLX/6iVsmMGzdu/fr1o0ePbt26tUajkSRJr9f379//z3/+c3x8vNLm22+/dbxuSkuyY8cOWZYnTZr0/vvv9+/fPyAgQJIkjUbToUOHxx9/XGljtVqXLFmiPuS5555btmxZr169dDqdJEm+vr5du3ZdtGjRSy+9pLZZvny5yWRyZnQhxKhRo1auXBkXF+fv7y9Jklar7dSp09y5c9UNpIQQ77777p1bQSkGDRq0evXqlStXxsfHd+7cWTkFSZJ8fHzCwsLGjx//ySef9O3bV2mcmpp68+bNu79OAAAAAAAAAIBmgBVlAAAA4O0uXrx49OhRJb733ntnzJghSdKdzTQazezZs7Ozsy9duiSE+OCDDz788MMaW7ogISHBya5Wr17dsWNHtwzqvLi4uOeee85Bhl9//fX169eVeOzYsY899liNzeLj4wsLC1NTU4UQBoNh+/btiYmJdY4eGRk5f/58jaaGKv/Bgwe/8MIL69evVzr84osvJk6ceGez6dOnOx7Cz8/v7bfffuaZZ5SNt/bv3+9MYkKIqqqqOkumLBaLEMJqtdZWxwMhhLLjlc1m4yp5j2rbnDH13kPdIpBJ9x7K/wrtD2vc+REtWLXnAJoj+5dtQ7yCm8I/CxaLxSb4f5PrlEnkLb1XsX9LL8syU+89lLf0TLpXqbbVu9lsrvGbOrQ86ps0i8Xirm/CXab+m+OWt44UygAAAMDbbd68WY3nzZvn4B2/JElz5syZP3++EKK4uPjKlSudO3d2Sw7VfjB2wCPfIM+cOdPxB6FPP/1UjZ977jkHLadOnbpz507lx5Lt27dPnTq1zs/Vs2fPdtDm4Ycf3rRpU2VlpRDis88+e/TRR137zBYQEJCQkLBlyxZxN4Uy165dmzVrluM2PXr0EEIYjcbbt2+7kJhXMZvNXCXvZLPZmHpvI8syk+61ysvLPZ0CGltFRYWnU0B92X9gcf7Di/MsVs9XU5WVlQmbte52cMhoNCp/fgBvY7VaeXfnbfgc583Kyso8nQIaW2lpqadTEMo3wMJN35BT6gUAAACvVlVVdeLECSW+//77g4KCHLfv2bOnv7+/En/33XcNm1zTEB4e3qlTJwcNSkpKiouLlXjMmDEBAQEOGut0ukcffVSJTSaTsjyPA3q9PiYmxkEDrVabkJCgxOXl5QUFBY47dGDAgAFKcPPmTYPB4HI/AAAAAAAAAIAmixVlAAAA4NXsCzVGjRpVZ3tJkmJjY9PT04UQWVlZ7kpj586dWq3WXb25V52XJS8vT41HjhxZZ4dDhw7dsWOHEl+8eLF79+4OGo8cObLOFWIGDhy4adMmJc7JyXF5a6qQkBA1vn37tl6vd60fAAAAAAAAAECTRaEMAAAAvNqVK1fUuEuXLs48pHPnzkqhzPnz592Vhsd3eHWgzu2lrl69qsYRERF1dtihQwc1zs3Nddy4V69edXbYvn17Nbaf0GpkWb58+fKZM2fOnj179erVgoKCakuC268hX1paat8tAAAAAAAAAKBloFAGAAAAXu3y5ctqPHfuXI1GI37a5VSWZTUQQthsNiWwWv+9b31ZWZksy025xsUtQkNDHTe4du2aGgcHB9fZYWBgoBrbF9nUKCwsrM4O1c2wqiVj7/jx4+vWrSsqKqqzN4XJZHKmWWRk5ObNmx23+eMf/yiE0Ov1rVu3dnJ0L1RZWWkymXx9fe2fHmjZqqqq1GI1jUbjzL8eaBnMZnNFRYUkSfbreKFls1gs5eXl6mFQUFCTXUgPbnfr1i0hRKtWrXx8+CK6ebuh0ahF5cqHJvfy0Xr+GRIcHKwRrTydRTNWUVFhNpv9/PzsP6ChZVM+xymxVqutczNrtBhGo7GqqorPcV7FZDJVVlaqh8HBwQ3xfgBNkM1mKy0tFU1j0n19fZXALV/Ie/7dJwAAAOBBVVVVamwwGDyYSZNV568aZrPZ+cbiv79Yr7amy510Ol2dHdr/2FZjh+vXr//888/r7McFOp0uOjracRvlmmg0Gn4fckB5VnCVvEq1r1eYeu+hLt/FpHsPpdRYpdVqmX1vw6S3APa/RjTEXwo0hT8/0Gq1WoknquuUSeQtvVf5738ZJKbee1gsFsGkexn17wYVPj4+Hq+ZQOOw/wjv8UlX/82hUAYAAACoLz7S159ayy/u+NhcI/sdjvz8/Bw3dmZlF/sO7yysOXz4sFolo9FoJkyYMGzYsIiIiMDAQB8fH0mS1E9W+fn5M2fOrHM4AAAAAAAAAEDzxa8CAAAA8Grt27dX4y1btrSMbV+q/d32nZwpZ3Ge/TUsKyur8xpWVFSocUREhOPGJSUldSZgv/Rrx44d7e+yWq3r1q1T4uDg4JUrVzrYScq9lwUAAAAAAAAA0ASxJhIAAAC8Wrdu3dS4uLjYg5nUk/32Q3UWfDhTfeK8yMhINc7Pz6+zfWFhoRpHRUU5bnzx4sU6O7SfOPtklHzUupy5c+c6qJKplhgAAAAAAAAAoEWiUAYAAABerWvXrmp88uRJzyVSX8HBwWpcVlbmuPGZM2fcOHSXLl3U+LvvvquzfXp6uhr36NHDceOjR4/WuUDOqVOn1Ni+8kkIceXKFTXu06eP436a9RMAAAAAAAAAAOAMCmUAAADg1UJCQvr27avEW7dutVgsns3HZe3atVPjf/3rXw5amkymw4cPu3HosLAwdfQvv/zSYDA4aGw2m3fv3q3EOp2ue/fujjuvqqo6f/68gwZWq3XHjh1KHBgYWG0vJ6PRqMb2i+7cyWg0HjhwwHEyAAAAAAAAAIDmjkIZAAAAeLtp06YpQVVV1YYNGzybjMvCw8MlSVJitRKlRp999pnNZnPv6FOnTlUCWZY3b97soOXOnTvV4pWJEydqNHV/JElKSnKQ8MGDB8vLy5V4ypQp6kVQ2NcP5eXlORglOTm5+ZZJAQAAAAAAAACcRKEMAAAAvF2/fv1GjhypxPv27UtOTrZarY4fUlJS8sknn1RUVDR8ds7SarXqWWRlZR07dqzGZl9//XVqaqrbR3/wwQdDQ0OVeNeuXbUtzXLkyJFNmzYpsZ+f35QpU5zpPDc3d+XKlTXWypw+fTopKUntcMKECdUaREVFqfGqVatqLIWRZfmzzz7bt2+fM8kAAAAAcIG+fdeBfzjUqluspxMBAAAAKJQBAAAAhJg3b17Hjh2VeNeuXU8//fTevXsLCgpMJpNyo81mq6ioyM3N3b9//8svvzx9+vTU1FS3r8tST08//bQaL1++fMuWLbdu3ZJlWQhhNBovXLiwePHiDz74QKvVOlmh4jytVvvmm2+qh0lJScuXL8/NzVUKU6xW65UrV95///333ntPbfO73/1Or9fX2fMjjzwihDh06NArr7xy9uxZZUZsNltRUdH69evtB12wYIFOp6v28KCgoBEjRijx5cuXZ8+effr0aXVzqMrKytOnT8+fPz8lJUUIMXnyZJfOHgAAAAAAAADQbPh4OgEAAADA8/z8/P785z8vW7YsIyNDCFFeXr5u3brGTCAhIaHankEOrF27tn379nfe3qFDh8TExC1btiiHW7ZsUWN7f/jDH0wmk9vXlenZs+eSJUuWLFmi1A8dO3astlVthBCvvPLKoEGDnOl26NChffv2XbFiRU5OzsKFC2tr9vzzzw8ZMqTGu+bMmXP69Glle6Zr167Z19bYmz17dlxc3LZt25zJCgAAAAAAAADQTLGiDAAAACCEEHq9/p133nnjjTdCQkIct5QkKT4+fuXKlUFBQe4a3WazWZ2mLBJToyeffHLmzJm13duuXbukpKTevXu7K+1qBgwY8NFHH/Xp08dBmy5duqxfv/6BBx5wvtuRI0cuXrz4ztViFP7+/suWLZs4cWJtDw8ICFizZk10dHRtDfR6/eLFi8eOHet8SgAAAAAAAACAZooVZQAAAIB/kyTp3nvv/fjjj/Py8o4fP37hwoXs7Oxbt24JIcLDwzt37tyjR4/+/ftHR0f7+vp6OtmaSZI0bty4UaNGHTly5Pjx4+fPn6+srGzXrl2/fv0eeOCBuLg4rVbboAmEhoauWLGiqKjo22+/zczMPHfuXHl5eUBAQO/evWNiYoYPHx4ZGelCtwMHDkxJSTl27FhaWlpWVtatW7eCg4MHDBhw3333DR06tM6TCgkJ+dOf/nThwoXDhw+fOXPm8uXLQojw8PCYmJhhw4YNGDCgyU4oAAAA0BRIPj6Sz7/fdUtaH6Fx6mOFRhI+GqcWzpQkwZ/1AgAAoNFQKAMAAIDmbevWrY4b6PX63bt3O9+hJElRUVFRUVH1y6tudWbusqCgoPHjx48fP762BrGxsY6vSYcOHe7qolUTHh6ekJCQkJDgcg938vPzGz169OjRo117uCRJ0dHRDtaVEfU+awAAAKCl6pmy2smWsmazEBYlfu7eyGWv/tzpQe6/+7wAAAAAV1CjDQAAAAAAAAAAAAAAAK/AijIAAMDrFBYWzpw5U4mXLl0aGxvr2XxagKKiou+//z4zM/PHH38sKiqy2WwhISGdO3fu2rVrTExM7969Q0JCGi0Zg8GQmJioxHPmzBkzZkyjDY3Gx3QDAAAAAAAAAO4KhTIAAHiLxMREg8GgHsbHx7/44ot1Psq+piQxMfGJJ55oqPwakSzLVqvV01m0EDk5OatWrbp48WK124uLi4uLi0+dOrVjxw4hRJcuXR599NGRI0cGBAQ0Qlbq/NpstkYYrhFUe/0KIZKTk0NDQ518+KJFizIzM+1vWbFiRa9evdyWn0e1vOkGAABA01F87NwPf9ji6SzcwMdP272HrtqN/+rZ7+8hXd07kNkqq3G+4cr/V/iNJEtDL5127yhogvwtFj+bTavVyj0ekDr8zNPpAAAAOEKhDAAA3sJqtdpXh+zbt2/KlCnt2rVz/Cj7mhJ+hIY9WZY//fTTLVuc+so4Ly9v1apVKSkpGzdubOjEWqRqr18hxDfffDNp0iRnHnvr1q2MjIyGyQsAAABo4aoKbuT9Pc3TWbiBPtg/LK76zwEFunaH9a3cO5BV/k+hTIWlLL/iikbSyNe+d+8oaIK0QmiVqEM/z2YCAABQJwplAADwXhs2bFi4cKGns3CD0tLSZ555RolfffXV4cOHezYfL/H555/bV8nExsY+/vjjPXr0aNWqlUajsdlspaWleXl5hw8fPnTokAfzbAQeeQZu27Zt4sSJkiTV2fLw4cMNn457qFdStvtuHQAAAAAAAAAAN6JQBgAA7/Xdd99dvXq1U6dOnk7EDdTFNvh9vXEUFhZu2LBBPVy8ePHAgQPtG2i12tDQ0NDQ0Li4uBkzZuzZsyclJaXR02w8jfYM1Gg0sizLslxaWpqTk9OjRw/H7WVZ3rZtmxLrdDqTydSg6dUf26IBAAAAAAAAABoUhTIAAHi11atXL1++3NNZoPlJTU1V45deeqlalUw1er1+ypQp48eP37p1a8OnJvR6/e7duxthII8ICAgYMWLEgQMHhBB79+6dO3eu4/Y//vhjaWmpEEKj0YwbN27Xrl2NkWUjatnTDQAAAAAAAABwO42nEwAAAI0tMDBwzJgxSpyRkXHx4kXP5oNmR5blgwcPKrFGo/nFL37hzKMCAgKeffbZBkzLa4wbN04JDh48WOcKMXv37lWCsWPHtm/fvmEzAwAAAIBaZF6+pZ+y8dtzhZ5OBAAAAKBQBgAA7yNJkn29wqpVq9iuCHeltLTUZrMpcd++fbVarWfz8TZdu3YNDQ1V4hMnTjhoaTQaDx06pMQPP/xwg2fmVq+99tru3bt3794dGxvr6VwAAAAA1JcshNlq4+sHAAAANAVsvQQAgDdq3br1pEmTlE1YcnJyzpw548afoouLi9PS0s6dO5eVlVVRUaHX66Ojo2NiYoYPHx4REeFan1arNSMjIy0tLTMzs6ioyGKxxMTEuHfTKFmWz5w5c+TIkR9++OH69ev+/v69e/ceMmTIqFGjAgIC7jbbs2fPfv/995mZmXl5eRaLpW3btrGxsT/72c+GDBmi0+nuNjcXTt+Np3OnqqoqNQ4ODq5nb9XIspyXl/fDDz9kZmb++OOPN27c8PHxiYyM7NWr16BBg/r37+/CBXR+6Ia7aG4kSdLkyZM3bNgghNi2bdvw4cNra6mW0YSGhkZFRZ09e9b5URpoIhrhteyM5jLXAAAAAAAAAAC3o1AGAAAv9eSTT/79739X1pJZtWrV2rVrJUmqZ5+3b99esWJFRkaG/Y0mk+nEiRMnTpz4+OOPu3fv/vrrr4eHhzvopLCwcObMmUq8dOnS2NjY7OzspUuXlpaW2jczm81CiFmzZl27ds1+RZwVK1ZoNDWsmZeamurjU+s7n4KCgrfeequgoMA+7fT09PT09NWrV8+fP3/06NGOzvwnsizv378/OTnZaDTa356fn5+fn3/gwAGtVvvCCy/88pe/rO1q39Xp1/YQd51Obeyv5KVLl+rTlb2Kioqvvvpq27Zt1U7WZDJlZ2dnZ2fv3btXkqRZs2bFx8c7eLoaDIbExEQlnjNnjrrRmD13XTR3PQPv1ujRo5VCmYsXL16/fr1t27Y1NktNTVWCKVOmOP8Cd9dENM5ruc7pbvwXCAAAAAAAAACgKWPrJQAAvFRAQMBTTz2lxNeuXTt+/Hg9O8zIyHj22WerVclUk5OT8+tf/zotLc1BG1mWrT8RQpw4ceK3v/1ttV/WVUozdRugag+352DEixcvzpgxw/5X82r5vPfee/v27XPQg6KysvLVV19ds2ZNtSqZagmvWbNm2bJltaV0V6df40PcdToOhISEqPG1a9eKi4vr05tqwYIFycnJdZ5sUlLSkiVL7Cf9TuoFqa2Zuy6aW56BLggJCenXr58S/9///V+NbUpKSnJycpR41KhRznfurolotNey4+lu/BcIAAAAAAAAAKApY0UZAAC818SJE7du3WoymYQQSUlJgwYN0mq1rnV16dKlRYsWqYdxcXHTpk2Liory9fW1WCxXr15NSUk5duyYcu8f//jHZcuWxcXF1dntyZMnd+7cKYTo2bPns88+27NnT39/f1mWi4qKHFfbOO/MmTOpqamyLPfp02fatGndu3dXhigpKUlNTT1w4IDSbM2aNcOGDWvdunVt/RiNxnnz5hUWFiqHYWFhzzzzTP/+/YODgyVJMhqN2dnZGzZsyM3NFUKcOHHi/fffX7BggdtP312n45ivr2+fPn2ysrKUw2XLlr377ruBgYGu9VZNVFTUI4880rdv37Zt2/r7+wshrFbrzZs309PTN27caDAYhBCnTp1KSUl5+umn3TJi41w0t5s8ebKyldKOHTsef/zxO1d2OXTokBLExsba1zY5yb0T0QivZWc007kGAAAAAAAAALgRhTIAAHgvPz+/6dOnr127Vghx8+bNI0eO/PznP3ehH6vVumTJEvXwueeee+yxx9RDX1/frl27Llq06Msvv1y1apVy4/Llyzdt2qTT6Rz3vGPHDiHEpEmTnnvuObUOQJKkDh06PP7440KIdevWCSFu3bo1bdo05d5XX331rhbP2LJlixBi2rRp9qUGkiSFh4fPnj27S5cuygY3Qojt27c///zztfXzl7/8Ra2SGTdu3G9+8xv7qiO9Xt+/f/8///nPq1ev/vLLL4UQ33777cMPPxwbG1uf02+406nTr371q7feekuJL1269D//8z8JCQljxoyJiIhweQ+vQYMGLVy4MDIystrtPj4+YWFh48ePf/DBB996661z584JIVJTUydMmBAaGuryKajqc9Hq/wx0WVxcnFartVqt5eXlFy5ciI6Otr/XZrMphSlCiNqeLbVpiIlohNeyMxrtBQIAAAAAAAAAaLLYegkAAK82duxYdSGQdevWmc1mFzr5+uuvr1+/rnZoXyVjLz4+fsqUKUpsMBi2b9/uTOdxcXH2v6zXSKPR1Bg7acyYMZMnT65xiAkTJoSFhSnxgQMHZFmusYeLFy8ePXpUie+9994ZM2bUuDaPRqOZPXt2165dlcMPPvigtg5Vzpx+NfU/HWf87Gc/GzZsmHpotVpTU1NffPHFhISEd9555+9///u5c+fKysruqs/p06ffWZxhz8/P7+233/bz81MO9+/f70LmNarnRavnM9A1Pj4+48aNU+LPP/+82r3nz5+vrKwUQmi1WmdWb7LXQBPRCK9lZzTOCwQAAAAAAAAA0GSxogwAAF5Nq9XOnDnz/fffF0JUVlbu37//kUceudtOPv30UzV+7rnnHLScOnXqzp07LRaLEGL79u1Tp06t87fwmTNnurxCiZMcrBshSVJCQoKy1oXBYLhx40bbtm3vbLZ582Y1njdvnoOEJUmaM2fO/PnzhRDFxcVXrlzp3Lmzg9xcOP36n46TFixYsH79+n379tnfaLVa09PT09PTlcN27drFx8ePGTMmPDzc5YHsBQQEJCQkKOuC7N+/PzEx0S3dNtpFc69f/vKXe/bsEUIcPnx41qxZer1evWv37t1KMH78eJe3VHPAhYlohNeyM9w+13l5eTNmzHDcRtnFqaqq6saNG3eZrxdRKpNMJhNXyXvYl6PZbDam3nsoUy/LMpPutUpLSz2dAhpbaWlpU3gr6Jry8nJPp+AeNRaCKx/PAfeqrKw08n9572D/D4vFYuHdnfdQpt5qtTLp3qPaG4lbt255KhN4SlOYdOVPQ4UQNput/r1RKAMAgLcbNWrU3/72N2VJmI8++uihhx6y/7m9TiUlJcXFxUo8ZsyYgIAAB411Ot2jjz6qbMJiMpkuXbrUvXt3B+3Dw8M7derkfDIuGDBgQFBQkIMGffv2VeMafzivqqo6ceKEEt9///2OexNC9OzZ09/fv6qqSgjx3XffOSiUceH06386ztNqtS+++OLDDz/80Ucfff/99zW2KSkp2bx58+bNmwcPHvzyyy8HBwe7PJxqwIABSn3GzZs3DQbDXT1da+uw0S6ae0VGRoaFhSkvwOPHj6sbFVVWVqalpSnx2LFjG2j0u5qIRngtO6Mh5tpisaj/BtZGeebLsuyWj3AtmyzLrOXjtXiBeCEm3Wsx9V6oWf8vnmcscLf47OO1mHcvxKR7LabeCzWFSXdvDmy9BACAt1P2A1Jii8Wyc+fOu3p4Xl6eGo8cObLO9kOHDlXjixcvOm6s/vDfcIYMGeK4QUhIiBrXWDR96dIlNXYmYUmSYmNjlTgrK8tBSxdOv/6nc7e6du26ZMmSTz755Le//e29995b2+IlJ06cmDZtWmZmZv1HtD+F27dv17/Dxr9o7iJJkrqdWWpqqnr7P/7xDyUIDw93vIlSfdzVRDTCa9kZzXeuAQAAAAAAAADuwooyAABADBo0qFOnTlevXhVCfPrpp48++mhgYKCTj1UepYiIiKizfYcOHdQ4NzfXcWPH2xK5hX0+NdLpdGpsMpnubHDlyhU17tKlizODdu7cWdmc6Pz5846bOdObvfqfjmtCQkJGjx49evRoWZbLysry8/PPnj178OBB+6eHzWb73e9+t2HDhvbt2zvoSpbly5cvnzlz5uzZs1evXi0oKDAajfYN7MvGS0tLHffmDE9dNLcYMWLE6tWrhRCXLl0qLi4OCwsTQmzdulW5d8qUKS4vce/eiWiE17IzmvVcAwAAAAAAAADcgkIZAAAgJEl66aWXFi5cKISQZXnz5s2/+c1vnHzstWvX1NiZjXXsS3DsqyhqFBoa6mQaLvPz86tnD5cvX1bjubcSxLQAACAASURBVHPnajQa8dOmreoC48p/bTabuoOv0r6srEyW5dpKGVw4/fqfTj1JkhQcHBwcHNynT5/HH3+8oKBg7dq1p06dUhu8++67H3zwQW0PP378+Lp164qKipwczi2lDI1/0R577DEH9957773Ki9EZQUFBAwcOVK7woUOHnnzyyWvXruXn5yv3jhgxwrUM3T4RjfBadkZDzHVISMhTTz3luI2yN5mPj4+/v7/bE2gxzGazxWLRarX25Upo2ZRJV2JJkuq/lR6aC6vVajKZmHSvYrPZ7Ctu/fz8lPfM8AbKnrPNetJb9psTlwvrAQd8fX0lPvt4B5PJpH7HpdFoPP6tFBqNxWIxm828pfcqyuc49VCv1/MuwkvIsmwwGETTmHT3budKoQwAABBCiH79+kVHR2dnZwsh9uzZM3nyZCd/2DabzWrs41P3Wwv7r0erLVBxJ2c69Djlm1+F8pbRXZrF6TvWoUOHxYsXb9y4cfv27cotOTk5+fn5NS4+tH79+s8//7xxE/QM9VskF+6902OPPaYUyuzateuJJ5748ssvldsHDx7cqlUrF9JriIloAU/m2rRt2/b//b//57jNjBkzhBA6nc75xbq8UHl5ucVi8fHx4Sp5j4qKCvtCGabee5hMJuULVibde5jNZvt3/v7+/i34vQGqUT4u6fV6X19fT+fiohbzE2CNP2zUtnkuUB86nc6P/8t7B5vNZl8ow7s772EwGMxmM5PuVYxGo32hTEBAQPMtg8Zdsdlsyq8eTWrS3ZIJH0oBAMC/zZ49e968eUqcnJw8f/58Zx5l/3WnMz/w22/X0jL+0IRv+ev09NNPf/311zdv3lQOMzMz7yyUOXz4sFqcodFoJkyYMGzYsIiIiMDAQB8fH0mS1G918/PzZ86c2WjJN3333HOPTqczmUyVlZUnTpzYs2ePcrvjdWtqw0QAAAAAAAAAAFo2ftcBAAD/1q1bN3UPl2+++eapp57q0KFDnY9q3769GpeVldX5ZwQVFRVqXOOyIs2O/RXYsmULf0hxJ41GM27cuJSUFOXwX//6V7UGVqt13bp1ShwcHLxy5UoHCxrd7YIrTdDu3bvd2JtWq50wYcKOHTuEEH/4wx+U5Rn8/PxiYmLutitvmwgAAAAAAAAAgBdqKsvjAACApkDZH0Sxdu1aZx4SGRmpxvn5+XW2LywsVOOoqKi7ya6J6tatmxoXFxd7MJOmzP55Yr9ZlSI/P1+toJo7d67jbb/sn0JQxMfHK4G6ickjjzziwiLqTAQAAAAAAAAAoMWjUAYAAPxHx44dR48ercSnTp26dOlSnQ/p0qWLGn/33Xd1tk9PT1fjHj163HWKdZFl2e19Ota1a1c1PnnyZCOP3lyUl5ercUhISLV7r1y5osZ9+vRx3FUTv8iN/wwUQkRERHTs2NH+loceesiFfprURHjkSgIAAAAAAAAAWjwKZQAAwH95/vnn1Xj16tV17q4SFhbWrl07Jf7yyy8NBoODxmazWd10RqfTde/evX7J/ptG85+3NOqKGo0mJCSkb9++Srx169bGT6BZOH78uBpHR0dXu9doNKqx43VQjEbjgQMH3Jtb/Xn2GaiYMmWKGnfq1Kla3YyTPD4RTeFKAgAAAAAAAABaNgplAADAfwkNDR0/frwSZ2VlffXVV3U+ZOrUqUogy/LmzZsdtNy5c6f6S/zEiRPtfxSvD71er8Ye2fxo2rRpSlBVVbVhw4bGT6CRVVZW7tq1y2w2O9k+Pz/ffiWhO5cqUWuthBB5eXkOukpOTm6C9RMefwYKIR588MHdP1mzZo1rnXh8IprClQQAAAAAAAAAtGwUygAAgOp+9atfqfGOHTvqbP/ggw+GhoYq8a5du2pbZ+LIkSObNm1SYj8/P/sFMOrJx8cnMDBQie1XLmk0/fr1GzlypBLv27cvOTm5zpV4SkpKPvnkk4qKiobPrkEkJycnJiZu3769srLSccuCgoIFCxaoh8OGDVOfLaqoqCg1XrVqVY0VGLIsf/bZZ/v27atH1g3F489Ad/H4RLSYKwkAAAAAAAAAaLIolAEAANUFBQUlJiY6316r1b755pvqYVJS0vLly3Nzc5Vf2a1W65UrV95///333ntPbfO73/3OfumI+hszZowSZGVl7dmzp6ysTJZlN/Zfp3nz5qmb3ezatevpp5/eu3dvQUGByWRSbrTZbBUVFbm5ufv373/55ZenT5+emppqs9kaM0n3MplMGzdufPLJJ995551vv/326tWr6sZbsixXVlZmZWV98MEHL7zwQmlpqXJ7UFDQvHnz7uwqKChoxIgRSnz58uXZs2efPn1a7a2ysvL06dPz589PSUkRQkyePLnBz+3uefwZ6BZNYSJaxpUEAAAAUE2/zq2tO54bFdPe04kAAAAAwsfTCQAAgKboscceS01NdX5rlZ49ey5ZsmTJkiVK5cexY8eOHTtWW+NXXnll0KBB7kn0J5MmTdqzZ48Sb9iwQdn/SKPRSJKk3Jiamurj04DvfPz8/P785z8vW7YsIyNDCFFeXr5u3bqGG65JSU9Pt99ZqTahoaHvvfdeQEBAjffOmTPn9OnT5eXlQohr167Zl17Zmz17dlxc3LZt2+qTcEPw+DPQXTw+ES3mSgIAAAAAAAAAmiZWlAEAADXQ6/XPPffcXT1kwIABH330UZ8+fRy06dKly/r16x944IF6JVeTsLCw1157Tf0pXWGz2aw/cfuId9Lr9e+8884bb7wREhLiuKUkSfHx8StXrgwKCmqExNwuICAgOTl5+vTpnTp1cqa9v7//b37zmw8//DAsLMxBn2vWrImOjq6tgV6vX7x48dixY13JuOE1hWegW3h8IlrMlQQAAAAAAAAANE38LSYAAKjZL3/5y02bNlVVVTn/kNDQ0BUrVhQVFX377beZmZnnzp0rLy8PCAjo3bt3TEzM8OHDIyMjGy7hESNGfPrpp//4xz+OHz9+6dKlgoIC51fEcRdJku69996PP/44Ly/v+PHjFy5cyM7OvnXrlhAiPDy8c+fOPXr06N+/f3R0tK+vbyPn5l7t2rWbNGnSpEmTysrKLly4cP78+UuXLl25cqWwsNBsNuv1+o4dO0ZGRvbs2TMuLq5Lly5arbbOPkNCQv70pz9duHDh8OHDZ86cuXz5shAiPDw8JiZm2LBhAwYMaOIXrSk8A93C4xPRYq4kAAAAAAAAAKAJkmRZ9nQOAAAAANBizZgx4+TJk7NmzZo+fbqnc2m6ysvLDQaDn59fM11qCy6oqKhQ63E1Gk2bNm08mw8ajclkKi0tlSSpbdu2ns4FjcRsNt++fVs9bN26NRspeo+SkhIhREhISBOveneg8mpJ4bdnPJ2FG0ga0aZt9ZfejVats4NqXfjTNY8O6mb86X/x816bO/+NVyQhOt0qdO8oaIKqqqosFotOp9O37yVadfB0OmgMZWVlRqNRiX18fFq3bu3ZfNBoDAZDeXm5VqsNDQ31dC5oJEajsaysTD1s06aNRsPGNV7BZrPduHFDNI1Jr6iouP/++4UQW7du7d69ez1740MpAAAAAAAAAAA1COjUrtvUBzydRUMJFqKru/vU2u2jGuQb3LlVlBBCKP9Fi2YpLTWZTFp/fxEY6OlcAAAA6kCpFwAAAAAAAAAAAAAAALwCK8oAAAAADctgMFy4cOHMmTPnz5+/du3azZs3bTZbYGBgly5dunXr1q1bt759+7Zv316y+8vLFqywsHDmzJlKvHTp0tjY2Hp2aDAYEhMTlXjOnDljxoypZ4cAAHibyqslxcfONVz/Vqu1oqJCPSwNDNRqte7qPKSdn0ZY3dVbjQJChKhpCG2bQKG1uXcsyT9A+NX8ha1J52uT5Dp7KDdrL5c3oXeVpaWlQohAa7kbJx1NgcXkW1Ze85za7J6n166Wnvgur5FygqdVVVWZzWY/Pz8/Pz9P54JGoky6Emu12sDAUs/m03z1i+voH9Bc9ygEgGaKQhkAAACgoVy7di0lJeXIkSN33mUymW7evHn69GnlMCgo6Iknnhg7dqxer2/cHBubLMtWq5t/zVI7tNnc/GMVAADeoOi7zP97Yomns3DRiF/1s1xu2J/hu/4iRC65euft+gnDpIoabq/fYANFG0ON95SFRZnEjTo7yCnt+PGFcjdnBdyhoxS5J81S410m63/ek5/87srKG980VlIA0Fy988GEzl1DPZ0FAHgXCmUAAAAA9zObzR9++OG+ffucbF9WVvbXv/41OTn5iSeemDJlik6na9D0AAAAAAAAAADwThTKAAAAAG5WVla2YMGCq1f/8xfGHTt2nDRpUt++fdu1axcQECBJkizLBoOhuLj4zJkzX3zxxeXLl4UQsix/9tlnfn5+kydP9lz6AAAAAAAAAAC0WBTKAAAAAO5UWVn50ksv3bx5UzkMDQ197bXXYmJiqjWTJCkgICAqKioqKmr8+PGXL19eu3ZtRkZGo+cLAAAAAAAAAIAXoVAGAAAAcBtZlhcvXqxWyURHRy9fvtzPz6/OB3bu3Hn58uXHjx9/7733GjjHlkav1+/evdvTWQAAAABw5HbZ1T2H34gfvjC8bbSncwEAAIC303g6AQAAAKDlOHToUFZWlhK3a9fu97//vTNVMqohQ4Z89NFHXbp0aZjsAAAAAMAzZCFsNqsQsqcTAQAAACiUAQAAANzEbDavXbtWPVy4cKFOp7vbTgICAu6991635gUAAAAAAAAAAP6NrZcAAAAA9/juu+9MJpMS9+nTp1evXg00kCzLeXl5P/zwQ2Zm5o8//njjxg0fH5/IyMhevXoNGjSof//+LhToKKxW6/fff3/kyJFz585dv349JCQkJibmoYceiouLkySpWuMbN25888036enpubm5ZrO5W7duQ4YMiY+PDwkJudtxzWZzenp6Wlra+fPnb9682bp167i4uPvuu2/IkCFarda1c7lTw103AAAAAAAAAEBzQaEMAAAA4B67du1S48mTJzfEEBUVFV999dW2bdtKS0vtbzeZTNnZ2dnZ2Xv37pUkadasWfHx8XeWttgrLCycOXOmEi9dujQ2NjYnJ+ett96y7/n69etHjx49evRoVFTU73//+6CgIOV2q9X64Ycf7t27177DrKysrKysTz75ZM6cOQ899JDzJ5WRkfHOO+9UVVWpt5SUlBw6dOjQoUOBgYGLFi265557HDzcYDAkJiYq8Zw5c8aMGXNnGzdeNwAAAAAAAABAs8bWSwAAAIAbGI3Gixcvqof9+vVriFEWLFiQnJxcrdqjGlmWk5KSlixZYrPZHDez/kQIkZGR8fLLL9fWc25u7rx585T1ciwWy2uvvVatSsbeypUrv/rqK6fOR4j09PRFixbZV8nYq6ioeP3117/44gvHnagnUtspu/G6AQAAAAAAAACaNVaUAQAAANzg6tWraty2bdvAwMCGGysqKuqRRx7p27dv27Zt/f39hRBWq/XmzZvp6ekbN240GAxCiFOnTqWkpDz99NPOdPjPf/5z+/btQojBgwc/9dRTnTt39vX1NZvNOTk5H3zwQX5+vhCipKTkr3/964svvvj+++9nZ2f7+flNnz596NChISEhkiSVlpbu378/JSVF6XDlypXDhg1r1aqV43FPnjy5Y8cOIURkZOSMGTOio6P1er3NZisoKNi+ffvBgweVZmvXru3YseOAAQNcvF4/cft1AwAAAAAAAAA0O6woAwAAALiBUk2i6NGjRwONMmjQoNWrV69cuTI+Pr5z584BAQGSJEmS5OPjExYWNn78+E8++aRv375K49TU1Js3bzrTbWpqqs1mmzlz5ltvvdWjRw+dTidJkk6n69Onz1/+8pfw8HCl2b59+7Zs2ZKWlhYREZGcnPzwww+HhoZqNBpJkkJCQqZOnTp//ny1zz179tQ5rlIlM2rUqJUrV8bFxfn7+0uSpNVqO3XqNHfu3Lfeektt+e6775rNZucvVDUNdN0AAAAAAAAAAM0OK8oAAAAAblBcXKzGXbp0aaBRpk+f7riBn5/f22+//cwzzxiNRiHE/v37ExMTnen54YcfHjdu3J2363S6WbNmLV68WDncsmWLEOLdd98NCgq6s/Ho0aM3bdpUWFgohPjiiy+cGToyMnL+/PkaTQ0V/IMHD37hhRfWr18vhDAYDF988cXEiROdOZc7Ndx1u3HjhrqOTm2UjaVMJlNFRYVz+XojpRDKYrFwlbyHffWbLMtMvfdQtvxj0psU5X9/zZRNbvA9E202War5dpvW3WNZa+/TZrM58zePbCKJxmGzWj2dAgC0HFVVVRUVOk9ncRcsFosQwmaz8Zbee1j/+3/9lZWVklTje2S0NLIsK0FTmPTKykolcMunHgplAAAAADe4ffu2GoeGhnowk4CAgISEBKWixfmCj2eeeaa2u+655x77w4SEhNpOUJKk8ePHJycnCyFu375dVlZWYz2NvdmzZ9dYJaN4+OGHN23apHwE+uyzzx599NGG+zzm2nW7devWxo0bHbdRVhiyWCxKxQwcsFqtXCXvJMsyU++FmPSmw2QyeToF18kNXxciyzUXysg22e1j2azW2gtlZApl0HTYbDYh+HkMANzDaDQ2x/fGfI7zZsoO5vAqTWHS3ftvDoUyAAAAgBvYL43g41PH2+zS0lIHhSlCiOXLl8fExLiczIABA5SCj5s3bxoMBr1e77j94MGDAwICartXp9O1b99eWSdGCPGLX/zCQVfR0dFqfOvWLceFMnq93vFparXahISETZs2CSHKy8sLCgo6duzooH093e11AwAAAAAAAAA0O078GQIAAACAuvj6+qqxsgKtY1aH1DUtXRMSEqLG9kvd1GbQoEGOG0RERKix41IV+6Fv3brluNuRI0fWuULMwIED1TgnJ8dx43q62+sGAAAAAAAAAGh2WFEGAAAAcIPg4GA1rrNApJ5kWb58+fKZM2fOnj179erVgoICo9Fo38B+yf3S0tL27ds77rDOBup6M35+fo7Xy/Hz81Nj+1V2atSrVy/HDarlduXKlTrbO+D26yaE0Gq1rVu3dtxGKQaSJMnBJlOQZVmWZUmSPL7bMRqNMunqIS8Qr2Kz2Xi9NynNfC48l3xDjFz7XDg5S818NtF88EQDAPdpdt8Y8BHeC/ER3pspX5k2hUl3bw4UygAAAABuEBYWpsZ5eXmOGwcHB+/evbvajbt27UpOTq5zoOPHj69bt66oqMjJxEwmU51t7KtbaqR+CHHvbkT2F602/v7+anzt2jWXx2qI6yaEiIqKOnjwoOM2M2bMEEL4+/u3adPGydG9UHl5ucFg0Ol0jrfrQktSUVGh7i2t0Wh4gXgPk8lUWloqhGDSm47SVq08nYLrtFpt3Uv51XcITY1r/Wm1WreP5evjI0TNJ6TVaq1O9NAQWQF38vHxre25CgC4WyEhIW3ahHo6i7tgMBjKy8s1Gk1oaHNKG/VhNBrLysrUw9atWzeFsgk0ApvNduPGDdE0Jl39EtstmVAoAwAAALiB/eZEru0Q5MyvGuvXr//8889d6Nxd3PtxSKfT1dnG/rJUWwDGeR6/bgAAAAAAAACAJoJCGQAAAMANOnXqpMbFxcWVlZXqdkXucvjwYbXaQ6PRTJgwYdiwYREREYGBgT4+PvYL3ubn58+cOdO9ozcEZ1Ztsd8OyZnCmju1vOsGAAAAAAAAAHAZhTIAAACAG+j1+u7du6tryWRmZg4ePNiN/Vut1nXr1ilxcHDwypUrHSxva7U6szC/55WUlNTZprKyUo07dux4t0O0yOsGAAAAAAAAAHAZm4cBAAAA7jFx4kQ1Tk1NdW/n+fn5FRUVSjx37lzHm0AXFha6d/QGcvHixTrbFBcXq3FkZOTdDtEirxsAAAAAAAAAwGUUygAAAADuMWLECB+ffy/ZeO7cuezsbDd2fuXKFTXu06eP48YnT55049AN5+jRo7IsO25z6tQpNe7WrdvdDtEirxsAAAAAAAAAwGUUygAAAADuodPpXnjhBfVwxYoVJpPJXZ0bjUY11mq1jlseOHDAXeM2qKqqqvPnzztoYLVad+zYocSBgYERERF3O0SLvG4AAAAAAAAAAJdRKAMAAAC4zdixY3v27KnERUVFb7/9trtqZdq1a6fGeXl5DlomJydbLBa3DNoIkpKSbDZbbfcePHiwvLxciadMmSJJ0t3231KvGwAAAAAAAADANRTKAAAAAG4jSdLSpUuDg4OVw7Nnz86cOfPChQt1PtBoNJ45c8ZBg6ioKDVetWpVjSUdsix/9tln+/btu8usPSk3N3flypU11sqcPn06KSlJif38/CZMmOBC/y31ugEAAADNS+ugTtMmfhzetrenEwEAAAAolAEAAADcqlWrVklJSR06dFAOS0pK5s+f/9JLLx08ePDy5ctVVVWyLCt3mc3m27dvZ2RkJCUlPfHEE999952DboOCgkaMGKHEly9fnj179unTpw0Gg3JLZWXl6dOn58+fn5KSIoSYPHlyQ52eWz3yyCNCiEOHDr3yyitnz55VVt+x2WxFRUXr169/88031ZYLFizQ6XQuDNEirxsAAAAAAAAAwGU+nk4AAAAAaGlCQkJWrVq1du3agwcPKrfk5eX95S9/ceaxoaGhL7zwQkxMzJ13zZkz5/Tp08pWRNeuXbOvI7E3e/bsuLi4bdu2uZp+4xk6dGjfvn1XrFiRk5OzcOHC2po9//zzQ4YMcXmUlnfdAAAAAAAAAAAuY0UZAAAAwP10Ot3cuXOTkpKGDRvm5EP69eu3fPnyv/3tbyNGjJAk6c4GAQEBa9asiY6Orq0HvV6/ePHisWPHupi0J4wcOXLx4sW1rRbj7++/bNmyiRMn1meIFnndAAAAAAAAAACuYUUZAAAAoKF07tx54cKFVVVV2dnZP/zwQ3Z29rVr165fv26z2fz9/SMiIrp27RoZGdmrV68ePXoEBATU2WFISMif/vSnCxcuHD58+MyZM5cvXxZChIeHx8TEDBs2bMCAAb6+vg1/Wm42cODAlJSUY8eOpaWlZWVl3bp1Kzg4eMCAAffdd9/QoUO1Wm39h2iR1w0AAHfx79Amctx9Dde/LMtms1k99PX1rbEm2DX63h1EpzB39VYjTZSvCI+883YpJEoKauvmwYIihH/N9/hqQyXRqs4OWvsF3dMm2M1Z1YOyt6Z7Jx1Ngd4UMqJHzXf9IEm2n+LwDq3iBnVqrKTgYRaLxWazabVat3yIQ7OgTLoSS5LEJ2uX6f25dADQ2CRZlj2dAwAAAAC0WDNmzDh58uSsWbOmT5/u6VyarvLycoPB4OfnFxQU5Olc0EgqKiqqqqqUWKPRtGnTxrP5oNGYTKbS0lJJktq2dXeFAZoqs9l8+/Zt9bB169Y+PvzxnrcoKSkRQoSEhPDrqfcIDAysrKxU4jfeeGPZsmWezQeNprS01GQy+fv7BwYGejoXNJKysjKj0ajEPj4+rVu39mw+aDQGg6G8vFyr1YaGhno6FzQSo9FYVlamHrZp00ajYeMar2Cz2W7cuCGaxqRXVFTcf//9QoitW7d27969nr3xDAYAAAAAAAAAAAAAAIBX4K83AAAAAPcoKir6/vvvMzMzf/zxx6KiIpvNFhIS0rlz565du8bExPTu3TskJMTTOTYzBoMhMTFRiefMmTNmzBjX2gAAAAAAAAAAoKBQBgAAAKivnJycVatWXbx4sdrtxcXFxcXFp06d2rFjhxCiS5cujz766MiRIwMCAjyRZrNktVqVQN343LU2AAAAAITVbNs7p8Z7Hrz0lNHihrfTBrtOvrp2/lba1vr3WZu4du3a6oprvGtoe39J/OcuP9E2YPtJy+lTVcH9S9JyGi4l51244ncrt2TS6Q+DekR4OhcAAACvQ6EMAAAA4DpZlj/99NMtW7Y40zgvL2/VqlUpKSkbN25s6MQAAAAAoAZWU403G8xWtxTK/NdQss1ks7i3z//q32a1yrX1b5OF/V1WYbEIk1FYLDaDseFScp7FKFkqjbIsezoRAAAAb0ShDAAAAOC6zz//3L5KJjY29vHHH+/Ro0erVq00Go3NZistLc3Lyzt8+PChQ4c8mCcAAAAAAAAAABAUygAAAAAuKyws3LBhg3q4ePHigQMH2jfQarWhoaGhoaFxcXEzZszYs2dPSkpKo6cJAAAAAAAAAAD+jUIZAAAAwEWpqalq/NJLL1WrkqlGr9dPmTJl/PjxW7dubfjUvIher9+9e7enswAAAAAAAAAANA8aTycAAAAANEuyLB88eFCJNRrNL37xC2ceFRAQ8OyzzzZgWgAAAADQ9Ny8dPXDMdMKfjjv6UQAAAAACmUAAAAAl5SWltpsNiXu27evVqv1bD4AAAAA0HTJss1i9XQSAAAAgBBsvQQAAAC4pqqqSo2Dg4Pd3n9xcXFaWtq5c+eysrIqKir0en10dHRMTMzw4cMjIiJc69NqtX7//fdHjhw5d+7c9evXQ0JCYmJiHnroobi4OEmSqjW+cePGN998k56enpubazabu3XrNmTIkPj4+JCQEGfGkmU5Ly/vhx9+yMzM/PHHH2/cuOHj4xMZGdmrV69Bgwb1799fp9O5dhYua4IpAQAAAAAAAAAaGYUyAAAAgCt8fP7zXvrSpUtu7Pn27dsrVqzIyMiwv9FkMp04ceLEiRMff/xx9+7dX3/99fDwcAedFBYWzpw5U4mXLl0aGxubk5Pz1ltvlZaWqm2uX79+9OjRo0ePRkVF/f73vw8KClJut1qtH3744d69e+07zMrKysrK+uSTT+bMmfPQQw85GLqiouKrr77atm2b/VjKKWRnZ2dnZ+/du1eSpFmzZsXHx99ZoHO3DAZDYmKiEs+ZM2fMmDEeTwkAAAAAAAAA0GSx9RIAAADgCvuFVa5du1ZcXOyWbjMyMp599tlqVTLV5OTk/PrXv05LS3PQRpZl60+Ubl9++eVqZSKq3NzcefPmpaWynQAAIABJREFUmUwmIYTFYnnttdeqVcnYW7ly5VdffeVg6AULFiQnJ9c2lppeUlLSkiVL1O2r6kM909p6a/yUAAAAAAAAAABNEyvKAAAAAK7w9fXt06dPVlaWcrhs2bJ33303MDCwPn1eunRp0aJF6mFcXNy0adOioqJ8fX0tFsvVq1dTUlKOHTum3PvHP/5x2bJlcXFxdXb7z3/+c/v27UKIwYMHP/XUU507d/b19TWbzTn/P3t3Hh9VfS5+/HtmJtuEbCSEsCNLWDQgRqhBQC/WIAqKiCDtBTQuIBHpq6lcvSgClpe1wr0oQhq0sRQRJSBo8Qaq1yLKDw1bA2ExRAoJhBASAllnO3N+f5ze4zQkkyGZLZnP+w99zswz3/PMnDlklme+3zNnVq9eXVpaKoSoqKj44x//+Oyzz65ataqwsDAkJCQtLe2OO+6IioqSJKm6unrXrl2bNm1SB1yzZk1KSkqnTp2c7LRPnz6TJ08eMmRIbGxsWFiYEEKW5aqqqry8vA0bNphMJiHE4cOHN23aNGvWrFY+XjfID0sCAAAAAAAAAHgZM8oAAAAArfSLX/xCi8+ePfvv//7vGzduvHDhgqIorRhNluVly5Zpm0888cRrr702cODA4OBgSZKCgoL69u27ePHi5557TstZsWKFOg2Mczk5OXa7fd68eUuWLOnfv786YHBw8ODBg99++21tCafc3NzNmzfv27eve/fu2dnZEydOjImJ0el0kiRFRUXNmDEjIyNDG/Mvf/lLc7tLTk5et27dmjVrUlNTe/XqZTQaJUmSJMlgMHTp0uWBBx7YuHHjkCFDtNqqqqpu9LG6UX5YEgAAAAAAAADAJ5hRBgAAAGilW2+9NSUlZf/+/eqmLMs5OTk5OTl6vT45OTkpKSkxMbFnz54RERGujPbVV19VVlaq8YQJEx5++OEm01JTUy9dupSTkyOEMJlM27ZtmzlzZouDT5w48f7777/+8uDg4Pnz5y9dulTd3Lx5sxDi9ddfb7LmcePGffDBB5cuXRJC/M///E9z+01LS3NeTEhIyKuvvjpnzhyz2SyE2LVrlyt3oS08V5LFYjl//rzzHHX1K7vdrgZoktpepi4Z5uta4CWNego59IFDW+GOgx44Gi1ryN/EAMRB9yOyLPm6BDdy8hMFRVEkh7uqCKHmKqI1v2rwHG213A6Al/QByPEc5NAHFF7SB6BGL+llWW7dDwXR7jie7z4/6Nq/OW6phEYZAAAAoPUWLVq0fv363NxcxwtlWc7Ly8vLy1M34+LiUlNTx48fr83d0qSPPvpIi5944gknmTNmzNi+fbvNZhNCbNu2bcaMGTpdC1NFzpkzp7mrbrnlFsfNqVOnxsTENJkpSdIDDzyQnZ0thLh27VpNTY2LPUDXMxqNU6dOVftyvNAo47mSzp8/P336dOc5/fv3F0KYTCYmqmmRxWJxZZIkdDx2u50TJNAoisJBD1jV1dW+LgHeVlNT4+sS8E+S3db0a303fd/gZTZbs1/Q2mxyUNBPm7LNZrPZJCFsVps3KnOBYleEENXV1XKV0de1uJPJZFKXtUWgUZc29nUV8CoOeiC7du2ar0uAt/nDQa+vr1cDt7xwZeklAAAAoPX0ev2zzz779ttvjxgxormcioqKDz/88Kmnnlq+fHlz3wxVVFRcvnxZjcePH280OvuoNDg4+MEHH1Rji8Vy9uxZ50XefvvtTgYMDg7u2rWrtnnPPfc4GSoxMVGLr1696ny/zmmPWFVVlZ98kOqHJQEAAAAAAAAA3ItGGQAAAKCt+vbtu2zZso0bN/7mN78ZNWqUXq9vMu3gwYOzZ88+ceLE9VcVFxdr8ZgxY1rc4x133KHFRUVFzpOTk5OdJ3Tv3l2Lu3Xr5iQzKipKi9vYKOM4lD/8IkH4ZUkAAAAAAAAAAPdi6SUAAADAPaKiosaNGzdu3DhFUWpqakpLS48fP/7ll19euHBBy7Hb7S+++OK7777rOImLEMIxx7FtpTkJCQlafO7cOefJjfZ1PW2+mZCQEIPB2XuEkJAQLbZarU4yFUUpKSkpKCg4fvz4hQsXysrKzGazY4Lj2sbV1dUtFtl2flgSAAAAAAAAAMDLaJQBAAAA3EySpMjIyMjIyMGDBz/yyCNlZWV/+MMfDh8+rCW8/vrrq1evdrzJxYsXtTgyMrLFXYSHh2uxY5NNkxy7W5qk0/1zpsnQ0NAWd+2KAwcOZGVllZeXu5hvsVjcsl8nPFRSQkLC22+/7TznvffeE0KEhIS4cmQDVkNDg9VqDQoKCgsL83Ut8BKTyaSdaJIkRURE+LYeeI3NZlOXFedfxcAhy3JdXZ22GR4e3tz0e+h41IVHjUaj825seI/cbLO7JElCKN6spe2c/GPS6Cq9Xm8w6GUh/OepKElCCNGpU6eIjvIHsb6+3mazBQcHu+t9Jfyf+j5OjfV6veMnFejYLBaLyWTS6XSdOnXydS3wEqvV2tDQoG1GRERI6l8ydHTqL0KFfxx07QWeWyrxlxeFAAAAQEeVkJCwdOnSDRs2bNu2Tb3kzJkzpaWljjPHOM7O4spHt1prixCi0bQobeE4bKutX79+586dbR/HjTxXktFoHD16tPOcDRs2CCH0en1wcLAnaugYLBaL1WrV6XQ8SoHD8d89SZI49IGGgx5QGs1CFxQU5D9fVMM7goKCgoKCfF0FhBBCyJK95aR2Q6dr9juSRldJkqR+oeLzL3h+IklCiKCgoA7zB9FkMgne+AQYx48jeHUXUNQZeTnoAUVR/qWbNigoyC2fIsL/aTNw+8NB195a0igDAAAAtBuzZs366quvqqqq1M0TJ044Nso4fnMgy3KLozkuEtTihDHetGfPHq0lRafTTZo0KSUlpXv37uHh4QaDQft4WghRWlo6b968wCwJAAAAAAAAAOArNMoAAAAA3qDT6e6///5Nmzapm//4xz8cr+3atasW19TUtDhfseP6BY4NN74ly3JWVpYaR0ZGrlmzJiYmxklyYJYEAAAAAAAAAPAh5kQCAAAAvKRnz55a7Lisb6OrSktLWxzq0qVLWtynTx93VOcGpaWlWgfP888/76QlRfzrXQiokgAAAAAAAAAAPkSjDAAAAOAltbW1WhwVFeV4Ve/evbV4//79LQ6Vl5enxf3793dHdW5w/vx5LR48eLDz5EOHDnm4HCH8siQAAAAAAAAAgA/RKAMAAAB4yYEDB7Q4MTHR8aouXbrExcWp8V//+leTyeRkHKvV+tlnn6lxcHBwv3793F1pK5nNZi3W6/XOM3fv3u35ivyxJAAAAAAAAACAD9EoAwAAALRGfX39jh07rFari/mlpaWO08BcP7vJjBkz1EBRlA8//NDJUNu3b9f6Px566CGdzl9e1Wu9PkKI4uJiJ5nZ2dk2m83zFfljSQAAAAAAAAAAH/KXj9QBAACAdic7O3vmzJnbtm2rr693nllWVrZo0SJtMyUlJSYmplHOz3/+c+3CHTt2NDe7yd69ez/44AM1DgkJefTRR1tZvQf06dNHi995550m+04URfn4449zc3MDtiQAAAAAAAAAgA/RKAMAAAC0nsVi2bBhw2OPPfbb3/7222+/vXDhgrZqkqIo9fX1p06dWr169TPPPFNdXa1eHhERsXDhwuuH0uv1r7zyira5du3aFStWnDt3Tu3tkGX5/Pnzq1atWrlypZbz4osvhoaGevDu3aCIiIg777xTjUtKStLT0/Pz87UHpL6+Pj8/PyMjY9OmTUKIadOmBWZJAAAAQACKuannM3s3JQwb5OtCAAAAAGHwdQEAAABAR5CXl+e4slJzYmJiVq5caTQam7x2wIABy5YtW7Zsmd1uF0J8//3333//fXND/frXv05OTm51wR6yYMGC/Pz82tpaIcTFixcdW38cpaenDx8+fOvWrYFZEgAAAAAAAADAV5hRBgAAAGgNo9GYnZ2dlpbWo0cPV/LDwsKefvrp9957r0uXLk7SRowY8f777w8ePNhJTu/evdevX3/33XffUMHeYTQaMzMzExMTm0sIDQ1dunTphAkTArkkAAAAAAAAAICvMKMMAAAA0EpxcXFTpkyZMmVKTU3N6dOnf/jhh7Nnz54/f/7SpUtWqzU0NLRbt249e/YcMGDA8OHDe/furdfrXRk2Jibm97//fXl5+bfffnvixImTJ0/W1tYajcZBgwYNHTp09OjRPXv29PRda4uoqKg333zz9OnTe/bsKSgoKCkpEULEx8cPHTo0JSVlxIgRQUFBlAQAAAAAAAAA8AlJURRf1wAAAAAAHdbcuXMPHTo0f/78tLQ0X9fiv2pra00mU0hISEREhK9rgZfU1dU1NDSosU6n69y5s2/rgddYLJbq6mpJkmJjY31dC7zEarVeu3ZN24yOjjYY+PFeoKioqBBCREVF0ZfsNxRhqWvyimtysBBS23fQPS66vr5ejf/jP196ZemrbR+zOZIkDM2UrJeEJP303YekKMJiE7KiyEJxx91sO9lqV4QUHN1J0neQif+rq6stFktYWFh4eLiva4GX1NTUmM1mNTYYDNHR0b6tB15jMplqa2v1en1MTIyva4GXmM3mmpoabbNz5846XQf5+wXn7Hb7lStXhH8c9Lq6urvuuksIsWXLln79+rVxNN6UAgAAAAAAAAAQCCQR3KnJK6I8sLMgnT48KMQDA984SYjQf/7fT7g03SgAAAA8g0YZAACAduz06dOLFi1S43Xr1nXr1s239aBDMplMM2fOVOMFCxaMHz/et/V4DicUAAAAAAAAAHR4NMoAAADPmjlzpslkUuNt27b5fHa+jkeWZTXwtyU1HQ+9ECI1NfXZZ59t8VaXLl2aN2+eNsL06dM9VV9H4Z1TTHua2e12T4zvP/z2hAIAAAC8zHLhYuXHnzpJiBoeFxZb3+hCRfz0luH/na16/a8/uLKvuxNtQ7tfaUWRbhQRNFInhfq2BgAAAHgHjTIAAMCzZFnWvnhGQGl06HNzcx999NG4uDjnt1IUJXB6MtyCUwwAAACAJ9iuXK36dJeThE7xtyvVZxpdqIifOs5PXqq7euSCK/vqGaPvG3+qFUW6UaegW/+5PhMAAAA6On7SDQAAAC959913fV0CAAAAAAAAAAAIaDTKAAAAwEv2799/4YJLvyYEAAAAAAAAAADwBBplAAAA4D3r1q3zdQkAAAAAAAAAACBw0SgDAAAAzwoPDx8/frwaHzt2rKioyLf1AAAAAAC8yVR+7sjiCbVnC3xdCAAAACAEjTIAAADwNEmSHn/8cW3znXfeURTFd+UAAAAAALxLURTZJngnCAAAAP9g8HUBAAAAHqEoSnFx8dGjR0+cOPHjjz9euXLFYDD07Nlz4MCBycnJw4YNCw4ObvXIBQUFe/fuPXr0aGVlZVhY2KBBg0aOHDl27Fij0ejeeyHL8qFDh7777rv8/Pyqqqro6OhBgwaNHj36Zz/7Wavrl2X5+PHjR44cOXHiRHFxsc1mi42NTUpKuvXWW0eOHNnqYZ2Ljo6eMmXKjh07hBBnzpwpKChISkpy1+CXL1/et2/fyZMnT506VVdXFxoampiYOHTo0NGjR3fv3t1de3Gd5557bVReXn7o0KG///3v586dq6io0Ol0Xbp06dev3y233DJixIj4+Pi278LPzztPnFAAAAAAAAAAgPaFRhkAAOBj33zzzX/913+p8aZNm5x/533s2LElS5ao8fr167t06XJ9Tl1d3RdffLF169bq6mrHyy0WS2FhYWFh4eeffy5J0vz581NTUyVJcrK7S5cuzZs3T42XL1+elJRUVla2ZMmSsrIyx2Hz8vLy8vLWrVuXkZExbtw4F+60S3744Yfly5fX1NRol1RUVFRUVOzbty8kJOSll1667bbbbmhARVF27dqVnZ1tNpsdLy8tLS0tLd29e7der3/mmWfuu+8+5w9L6zz22GOffvqpOpfMO++884c//KHte7l27drvf//7Y8eOOV5osVgOHjx48ODBP//5z/369fvP//zPJltAdu7c+cc//lGN33nnnR49erS4O1mWf/nLX6qPXmJi4htvvNEowY3PPfeqqan57//+74MHDza6vKSkpKSk5OuvvxZCDBky5Kmnnho4cGDrduH/553bTygAAAAAAAAAQHvE0ksAAMDHFEWR/48r+Vpyc8v3LFq0KDs7u9G39dfvdO3atcuWLbPb7a7XVlRUNHfuXMdv6xslr1y5Mjc315V70aIvv/zyhRdecPxS35HZbF66dKna3+Ci+vr6F154ITMzs1GXjCNZljMzM1977TUXj8UNMRqNv/zlL9X44sWLBw4caOOAx44de/zxxxt1yTRy5syZp556at++fddfNXbsWO3g7t6925U9njhxor6+Xr3JI488cn2CG597bnTt2rWnn376+i6ZRk6ePJmRkdHQ0NC6vfj5eef2EwoAAAAAAAAA0E4xowwAAOiY+vTpM3ny5CFDhsTGxoaFhQkhZFmuqqrKy8vbsGGDyWQSQhw+fHjTpk2zZs1yZcCCgoKcnBxFUQYPHjx79ux+/fqFhYUpilJRUZGTk6N1WmRmZqakpERHR7el+IKCgrffflvbvOeee6ZNm5aQkKDT6UwmU1FR0fr168+dO7dq1aom2zWuZzabFy5ceOnSJXWzS5cuc+bMGTZsWGRkpCRJZrO5sLDw3XffPXfunBDi4MGDq1atWrRoUVvuQpMeeuihLVu2WCwWIcTatWuTk5P1en3rhjp79uzixYu1zeHDh8+ePbtPnz5BQUE2m+3ChQubNm36/vvv1WvfeOON1157bfjw4Y4jREVFJSUlqX02O3funDNnTovFbN++XQ10Ot2IESOaS3P7c6+Nli1bVl9fr8YpKSlTp07t0aOH0WiUJMlut9fW1qqTyrjYLeScf553bj+hAAAAAAAAAADtFzPKAACAjiY5OXndunVr1qxJTU3t1auX2hAgSZLBYOjSpcsDDzywcePGIUOGqMk5OTlVVVWuDLt582abzTZ79uw33njjlltuUYfV6XTx8fHp6elPP/20lrlt27a21C/L8ooVK7TNl19+eeHChT169NDr9ZIkhYWFJSUlvfXWW+PHj3d9X2+//bbWJXP//fevX79+3Lhx0dHROp1OkqTQ0NBhw4a99dZbqampas63337rfKaW1gkJCUlLS1PjqqqqvXv3tm4cWZaXLVumbT7xxBOvvfbawIEDg4ODJUkKCgrq27fv4sWLn3vuOS1nxYoVaoOOI60rwmazHT161PlOa2pqtElZ7rvvvqCgoOtzPPTca4sLFy4UFRWp8S9+8YuXXnpp0KBBnTp1Ug+9Xq+Pioq65ZZb0tPTP/74Y23Kn1bw2/POEycUAAAAAAAAAKD9olEGAAB0NGlpaT179nSSEBIS8uqrr4aEhKibu3btcnHk8ePHT5s2TZKk66+aNGlSly5d1Hj37t3NLQvlii+//LKurk6N09LSRo0adX2OTqdbuHBhv379XBmwqKjom2++UeNRo0bNnTu3yalTdDpdenp637591c3Vq1e35V40Z8KECeHh4WqclZVltVpbMchXX31VWVmpDfjwww83mZaamvroo4+qsclkur4HYvjw4dpD8cknnzjfqeP6TRMnTmwyx3PPvVY7ffq0FjufLiUsLGzGjBnqNDCt4LfnndtPKAAAAAAAAABAu8bSSwAAIBAZjcapU6du3rxZCLFr166ZM2e6cqsnn3yyuaskSZo6dWpWVpYQwmQyXblyJTY2tnW1ffTRR2oQFhY2efJkJ3tMT0/PyMhoccAPP/xQixcuXNhkw4E25oIFC9QxL1++fP78+V69et1A6S7Q6/Xz5s1btWqVEKK+vn7Xrl1O7mNztIdICPHEE084yZwxY8b27dttNpsQYtu2bTNmzNDpfuoU1+v1kydP3rFjhxAiPz+/uro6MjKyyXEURcnJyVHjuLi43r1732jNmtY991pN6ygKDQ1tchYcb/LJeef2E6qRCxcuvPjii85zZFlWK7x69eqNjh847Ha7EMJisfAoBQ71oGsxhz5wqH2NiqJw0ANHo2bWmpoaJ69I0SHV1tZy0NsjS22t8wT1rVZjrfrBRdNDeVd1dbWkyL6uoh1T3/iYzebW/SQG7ZHjS3pZlnl1FzjUQ8/7uIDS6CX9tWvXeHUXaKqrq31dgqivr1cDxz9ArUajDAAACFAjRoxQv7CvqqoymUyhoaEt5kdERDhJ0JaVEUK0ulGmsrJS62yYMmVKk1O/aAYMGBAZGen8FWpDQ4O2YNBdd93l/C6oY4aFhTU0NAgh9u/f7/ZGGSHE2LFj//SnP6l38/3337/33ntbfPAdVVRUXL58WY3Hjx9vNBqdJAcHBz/44IPqbDEWi+Xs2bONZg2ZMGGC2igjhPjmm28eeOCBJsc5f/68ttPp06e38X3gjT732kI74iaTqa6uTpvOx1e8fN65/YS6ntlsPnnypPOc/v37CyHsdrs/fPrv5xRF4VEKWBz6AMRBD1jqN6kIKBz0dsqFA+e2WUgV9w3VarIsCzt/m9rKbre75bsrtDu8mwtAHPRAxqu7AOQP57t7a2DpJQAAEKCioqK0+Nq1ay3mjxw50vUBW/1zirNnz2rx7bff7jxZkqS7777b9QHHjh3bYgGSJCUlJanxqVOnWsxvBXWNJzW22Wzbt2+/oZsXFxdr8ZgxY1rMv+OOO7S4qKio0bU9evTo1q2bGm/ZsqW51ab+53/+54Z26tyNPvfaYuDAgVr8u9/9Tmu69xUvn3duP6EAAAAAAAAAAO0dM8oAAICOSVGUkpKSgoKC48ePX7hwoayszGw2OyY4/sKpurq6a9euzgdMSEhwnhAcHKzFFovlxksWQojS0lItjo+PbzFfnanCifPnz2uxiwsG9erVKy8vTwjxww8/uJLfCsnJyT169Lhw4YIQ4qOPPnrwwQddn+lEvZWqe/fuLeY7Hrhz585dnzBjxozVq1cLIaqqqs6dO9e3b99GCVarNTc3V41vv/32Tp06Od+j2597bdG3b1/toc7Pz3/sscfGjBkzceLE/v37O5+Mp3X87bxz+wkFAAAAAAAAAGjvaJQBAAAd0IEDB7KyssrLy13Md6WvJSQkpG1FueTixYta7EofQ1xcnPOEkpISLX7++ed1Op34vzVlFUXRAiGE3W5XA23mzJqaGkVRPLHcrCRJzz333EsvvaTu/cMPP3z66addvK3jQxQZGdlivmMLjmOTjcZxypnc3Nxnn322UUJ+fr7W3vHwww87350nnnttIUnSsmXLFixYoC6nJYT49ttvv/32WyFEbGzsqFGjRo4cOWTIELcsyeSH553bT6jrderUacKECc5z1A4tvV7vnX9G2imbzSbLsk6nCwoK8nUt8BL1oKuxJEmOfW/o2Ox2u9VqFd56cQV/oB10VXBwsCdeYcI/qW3TQUFB6jsRtDMtvTCTJLcdVn94hgQHB0sKf5taz2q12u12vV5vMPDFU6DgJX3AkmXZZrNx0AMKL+kDlqIo6qe4/nDQ3bvmF69XAABAR7N+/fqdO3f6uopWcmwdcOWDwha/YdLaI4QQJpOp1YW53c0335yYmFhYWCiE+Mtf/jJt2rSYmBhXbuj4lsyVT98cH8ZGs5uojEbjnXfeuW/fPiHErl27nnrqqUbf0+fk5KhBaGjo0KFDnezLP5978fHx77//fnZ29l//+lfHyysrK3Nzc9XJcm6//fbHH3/cxTmHmuSf993tJ9T14uPjV6xY4Txn7ty56uARERE3On7gqK2tlWU5KCiIRylw1NXVaX+kJEni0AcOi8VitVo56AHFarU6LrloNBr5DjVwqK/AjUYjvbDtkb6lXnO9Xt/Epa36AkWva2oo7woPD9dL/G1qverqaovFEhwc7JZfYqBdqKmp0b6z1Ov1vLoLHCaTqba2VqfTcdADh9lsdvxUtlOnTv7Q5AovsNvtV65cEf5x0LUC3FIJb0oBAECHsmfPHu3bep1ON2nSpJSUlO7du4eHhxsMBkmStK7n0tLSefPm+a7Spjn+DkP9JZbz/CY7Pxz585cQ6enpCxcuVOPs7OyMjAxXbuX4CbsrLeSOa/001wbx0EMPqY0yiqIcOXJk1KhR2lVVVVUnT57U0pwcEX9+7hmNxueeey4tLe3vf//7vn378vLyGj1zDh48ePDgwalTp86ZM6cVvwzw2/vu9hMKAAAAAAAAANDe+e8XJwAAIACpS/844bwxQpblrKwsNY6MjFyzZo2TSUrcO02fu3Tt2lWL6+vro6KinOdXVla6PuDmzZv96nddN91002233Xb48GEhxNdff/3LX/4yISGhxVs53qOampoW71FdXZ0Wd+/evcmcQYMGhYeHq5lbtmxxbJT5+uuvtfjee+9tbi/t4rlnNBpHjx49evRoRVGuXr165syZb7755uuvv9bq+eSTT3r37j1+/PgbGtaf77vbTygAAAAAAAAAQHvHnEgAAMDHHOd4aPFL9IqKCifXlpaWal0Rzz//vPOlfC5duuRyjd7To0cPLS4vL28x/8yZM84TbrrpJi2+fPlyqwvzEHVJGtUf/vAHV27Ss2dPLS4tLW0x3/FA9+nTp8kcSZKmTp2qxoWFhVVVVWqsKMrWrVu128bHxze3l/b13JMkKSYmJjk5+Ve/+lVOTk5aWpp21fr16x3n4HGFP993t59QAAAAAAAAAID2jkYZAADgY5GRkVpcU1PjPLmgoMDJtefPn9fiwYMHOx/q0KFDLlTnbX379tVidaoV5/72t7+5PqAf3uVu3bqNGzdOjQ8fPnz27NkWb9K7d28t3r9/f4v5eXl5Wty/f//m0hynUdEe1R9//LG6ulqNp0+f7mQv7fe5ZzAYpkyZkpqaqm7W19eri866zp/vu9tPKAAAAAAAAABAe0ejDAAA8LG4uDgt/sc//uEk02Kx7Nmzx0mC2WzWYseJaprM3L14YHc8AAAgAElEQVR7t6slelFcXJw2Icf27dudT7FTVFR07do15wNGRUUNGTJEjbds2WKz2dxSpxs9+eSTWrxu3boWZxXq0qWL9pz561//ajKZnCRbrdbPPvtMjYODg/v169dcZmxsbGJiohpv27ZNXQVs586dWoLjekzXa+/PvdGjR2txi/1qjfjzfXf7CQUAAAAAAAAAaO9olAEAAD4WHx8vSZIaaz0NTfr444+dLwrj2HNTXFzsJDM7O9sPW0ZUM2bMUIP6+vpdu3Y1l6Yoyrp161wZcPbs2WrQ0NDw7rvvtr1C94qJiXnggQfU+NSpU1988UWLN9EeIkVRPvzwQyeZ27dv19o4HnroIZ3O2avfRx99VA1qamqKiorMZvNXX32lXnLPPfeEhIQ4uW17f+45ziLTqVOnG7qtn993t59QAAAAAAAAAIB2jUYZAADgY3q9fsyYMWp86tSp77//vsm0r776Kicnx/lQffr00eJ33nmnya/kFUX5+OOPc3NzW1uvx6WmphqNRjXOyso6cuTI9Tnql/pFRUWuDHjzzTdrj3Bubm52dnaLs7ZUVFRs3Lixrq7uRgpvvV/84hda/Mknn7SY//Of/1ybJmTHjh3NTVKyd+/eDz74QI1DQkK0Ppjm3HbbbVrP1s6dOw8cOKBdNWnSJOe39dvn3pYtW44dO+b8iDc0NGzcuFGNQ0NDHRtfXOG3913l9hMKAAAAAAAAANCu0SgDAAB8b9asWVq8YsWKzZs3X716VV37xmw2nz59eunSpatXr9br9c57HSIiIu688041LikpSU9Pz8/P15bmqa+vz8/Pz8jI2LRpkxBi2rRpnro/bWMwGF566SVt89VXX83MzCwrK1Nn07FYLCdPnszIyFC7Qx566CFXxly4cGG3bt3UeMeOHbNmzfr888/LysosFot6od1ur6urO3fu3K5du371q1+lpaXl5OQ4n7/HjSIiImbOnOl6vl6vf+WVV7TNtWvXrlix4ty5c2qLhizL58+fX7Vq1cqVK7WcF198MTQ01PmwQUFB9913nxr/7W9/+9Of/qTGUVFRTtZs0u6Cfz73fvzxx8WLF8+YMWP9+vX5+flXrlyxWq3qVbIsV1VV7dmz55lnnqmqqlIvnDdvntYt5CK/ve8qT5xQAAAAAG5IaNe+t/3ufzvdlOTrQgAAAAAhhDD4ugAAAACRkJAwc+bMzZs3q5ubN2/WYke/+93vLBaL83llFixYkJ+fX1tbK4S4ePGiYzuFo/T09OHDh2/durXNtXvE8OHDn3322czMTHUzNze3yak4FixY0Ldv308//bTFAUNCQt56663XXnvt2LFjQoja2tqsrCz31txGDz/8cE5Ojuvr8gwYMGDZsmXLli1T2x2+//775uYiEkL8+te/Tk5OdmXY+++/X3uoy8vL1WD69Omu9I7483PPYrHs3Llz586dztMmTJjwb//2b60Y35/vu/DACQUAAAAAAAAAaL+YUQYAAHiW46wkTroNHnvssXnz5jV3bVxc3Nq1awcNGtTi7oxGY2ZmZmJiYnMJoaGhS5cunTBhQotD+dbEiRNff/318PDwJq81GAyLFy++9957XR8wNDT0t7/97csvvxwVFeU8U5Kk1NTUNWvWRERE3EDFbRMaGvrEE0/c0E1GjBjx/vvvDx482ElO7969169ff/fdd7s4Zu/eva9feGjcuHGu3LZdP/ciIiJeeOGF+fPn3+h0Mir/v+9uP6EAAAAAAAAAAO0UM8oAAAAPUhRFW9xHkiQn38FLknT//fePHTt27969Bw4c+OGHH+rr6+Pi4m6++ea77757+PDher3exZ1GRUW9+eabp0+f3rNnT0FBQUlJiRAiPj5+6NChKSkpI0aMCAoKavtd84Kbb775gw8+OHDgwHfffXfkyJGrV69GR0cPHDhwzJgxd9xxR4sLCV1PkqRRo0b9+c9/Li4uPnDgwOnTpwsLC69evSqEiI+P79WrV//+/YcNG5aYmOiTh+i+++774IMPGhoaXL9JTEzM73//+/Ly8m+//fbEiRMnT56sra01Go2DBg0aOnTo6NGje/bseUM1SJI0ffr0devWaZckJSW12Fqk8cPn3qJFiy5fvlxcXHz27Nl//OMfFy9evHz5ckNDg91uj4qK6t2799ChQ0eMGJGYmKjTtamH3g/veyNuP6EAAAAAAAAAAO2RpCiKr2sAAAAdlsVimTZtmhr37NnTsf8AAALE3LlzDx06NH/+/LS0NF/X4r9qa2tNJlNISIg357KCb9XV1WnNkTqdrnPnzr6tB15jsViqq6slSYqNjfV1LfASq9V67do1bTM6Otpg4Md7gaKiokIIERUV5fO2abSCraLy2lf7nCSE94sIibY2vnD4lIb6f/6Jn/LkwmlzM1zZ1/Be1pvialtXp7sY9YMlKdi3NbRr1dXVFoslLCysubk80fHU1NSYzWY1NhgM0dHRvq0HXmMymWpra/V6fUxMjK9rgZeYzeaamhpts3Pnzm380R3aC7vdfuXKFeEfB72uru6uu+4SQmzZsqVfv35tHI03pQAAwIMuX76sxX379vVdIQAAAAAA4AYY4mJjpz94o7eSxE9Tyd7SLeKXI3u5tSgAAADADWj1AgAAHnTw4EEtHjVqlA8rAQAAAAAAAAAAAJhRBgAAeEp9ff3mzZu1zVtvvdWHxQAAAAAA0OEpVqup8EzrbhucYDxliZDtUsupzbMrP8VXLQ1nqivaMpqnGSQR7vllwcIMikFn1zaDquskx4dJCNmqVJ6xOF6iDzbEJid6vDIAAIBARaMMAABwP5PJdPLkydWrV9fX16uXjB8/noWKgY5n5syZJpNJjbdt2+bzdWoBAACAAGe7cvUf8/+jdbft//aD877qX2+R21KARf6pI+S7irNv5P+1LaN5Wu9O0YOiqjy9lzvio/S6C9pm3OEf9df+pX/IHtzl88kHHS8J79Vl+rmPPF0YAABAwKJRBgAAuI3Van3kkUeuvzwqKuqZZ57xfj0APE2WZVlu08foAAAAAAAAAAB4E7/4BAAAnnXbbbdlZmYajUZfFwIAAAAAAAAAAIBAx4wyAADA/Tp16jRw4MAhQ4aMHTu2R48evi4HAAAAAAAAAAAAEIJGGQAA4EZBQUGfffaZr6sAAAAAAAB+pOrshW1pL01avThh2CBf1wIAAACw9BIAAAAAAAAAAPAcRbHbZF8XAQAAAPwTjTIAAAAAAAAAAAAAAAAICCy9BAAAAMDbZFk+duzYvn37Tpw4UV5ebrPZhg4dumLFikZpiqIUFxcfPXr0xIkTP/7445UrVwwGQ8+ePQcOHJicnDxs2LDg4OBW7F1RlIKCgr179x49erSysjIsLGzQoEEjR44cO3as0Wh0x/0DAAAAAAAAAPgpGmUAAAAAeNClS5fmzZunxsuXL09KSiosLFy+fHl1dbVjmtVqddysq6v74osvtm7d2ijNYrEUFhYWFhZ+/vnnkiTNnz8/NTVVkiTX915WVrZkyZKysjLHMfPy8vLy8tatW5eRkTFu3Lg23mUAAAAAAAAAgN+iUQYAAACABymKIsuytnnw4MHly5e3eKtFixaVlJS0OPLatWv379+/ZMkSna7pVWUb7b2oqCgjI0NRlOaSV65cWVdXN3HixBYrBAAAAAAAAAC0RzTKAAAAAPCSQ4cObd++XQgxYMCAxx9/fMCAAWFhYYqilJeX79u37/r8Pn36TJ48eciQIbGxsWFhYUIIWZarqqry8vI2bNhgMpmEEIcPH960adOsWbNa3HtBQUFOTo6iKIMHD549e3a/fv3UvVdUVOTk5OzevVtNy8zMTElJiY6Oduc9BwAAAAAAAAD4BxplAAAAAHjJJ598IoSYMmXKE088oa2XJElSQkLCI4884piZnJz80ksv9ezZs9EIBoOhS5cuDzzwwM9//vMlS5acPHlSCJGTkzNp0qSYmBjne9+8ebMQYvbs2Y888ojj3uPj49PT03v37v3uu++qF27btu3JJ59s670FAAAAAAAAAPgfGmUAAAAAeM/w4cMdu2Sak5aW5jwhJCTk1VdfnTNnjtlsFkLs2rVr5syZLe59/Pjx06ZNa/KqSZMm7dix4/Lly0KI3bt3p6WltVikEOLatWu5ubnOc9QKrVZrQ0NDiwMGLJvNJoSQZZlHKXCoB12lKAqHPnCoK+Jx0AOK4zKIQgiz2Wy1Wn1VDHzCbDY7/rMPj7KZTK2+rd1uF82sUtpRNbcqq3vZ7Xa9w1Kx1++0yUva3R9K9V97m83W7ipHqzn+ibfb7Rz6wKG+luOgB5RGr+VMJpMrn5uhA9BepfjDQdf+zXHLSzgaZQAAAAB4z7x589z1nspoNE6dOlWdJ8bFRhkn88RIkjR16tSsrCwhhMlkunLlSmxsbIsDVlZWrly50nlO//79hRBWq7Wurq7FAQOczWbjW7TApCgKJ0gA4qAHLL5QCUCmNrRu4EbJ9fWtv61sD6w2GbU3yPNkuxzksNlEW8x1ZbTfV0dWq5VuyMBkt9vb6ZMWrdZ+/6VC29W34fUG2il/OOhaDW5plNG1nAIAAAAA7hAfH9+jRw83DjhixAg1qKqqavELmBEjRkRERDhJGDJkiBZfuXKl7eUBAAAAAAAAAPwNjTIAAAAAvGTs2LHuHTAqKkqLr1275jx55MiRro929erVthQGAAAAAAAAAPBPLL0EAAAAwEt69ep1Q/mKopSUlBQUFBw/fvzChQtlZWVms9kxwXGm9Orq6q5duzoZLSEhwfnugoODtdhisdxQqQAAAAAAAACAdoFGGQAAAABeEhMT43rygQMHsrKyysvLXcxvsbUlJCTE9b276Kabbvr++++d5zz77LNCCKPRGBcX5/YCOoza2lqTyRQSEuJ8eSx0JHV1dQ0NDWqs0+k6d+7s23rgNRaLpbq6WpKk2NhYX9cCL7FarY4Tv0VHRxsMfCYZKCoqKoQQUVFRQUFBvq4lUFhlpbK1tw0KMkiS5M5q/J5er/fCXoIM//L81+kaz/Svu64MnU7X7t4+VFdXWyyWsLCw8PBwX9cCL6mpqdF+zWIwGKKjo31bD7zGZDLV1tbq9fob+pwH7ZrZbK6pqdE2O3fufP2fM3RIdrtdXaHeHw56XV2dGrilEt6UAgAAAPAS178VW79+/c6dOz1ajFtIktTiZ+uB9mUDAAAAAAAAAPgzGmUAAAAA+Jc9e/ZoXTI6nW7SpEkpKSndu3cPDw83GAySJGmtJ6WlpfPmzfNdpQAAAAAAAACAdoZGGQAAAAB+RJblrKwsNY6MjFyzZo2TiXxlWfZWXQAAAAAAAACAjoDFwwAAAAD4kdLSUm252eeff975cteXLl3ySlEAAAAAAAAAgA6CRhkAAAAAfuT8+fNaPHjwYOfJhw4d8nA5AAAAAAAAAIAOhUYZAAAAAH7EbDZrsV6vd565e/duz1cEAAAAAAAAAOg4aJQBAAAA4Efi4uK0uLi42Elmdna2zWbzfEUAAAAAAAAAgI6DRhkAAAAAfqRPnz5a/M477zTZCqMoyscff5ybm+vFugAAAAC0UsxNPZ/Zuylh2CBfFwIAAAAIQaMMAAAAAL8SERFx5513qnFJSUl6enp+fr7JZFIvqa+vz8/Pz8jI2LRpkxBi2rRpPisUAAAAAAAAANAOGXxdAAAAAAD8iwULFuTn59fW1gohLl68+MorrzSZlp6ePnz48K1bt3q3OgAAAAAAAABAO8aMMgAAAAD8i9FozMzMTExMbC4hNDR06dKlEyZM8GZVAAAAAAAAAIAOgBllAAAAAPidqKioN9988/Tp03v27CkoKCgpKRFCxMfHDx06NCUlZcSIEUFBQb6uEQAAAPA7kl4fOuCm1t44YmB8uMlib0sBRyWh3T4iKLRXeExbRvO0+NDw6GCP70UnhQXpYn/aDK8TwvivKRGdbx3guB2W4NePGwAAQHtHowwAAACAVtqyZUuLOQkJCZ999lkrBpckKTEx0cm8Mq4MfkN7j4iIaF2pAAAAgJ8wxHXu98f/bvXNs4e1tYBPn9PZ/i++s8tNL982sa0jdjw/a3yBToiHDvuiEgAAgEDF0ksAAAAAAAAAAAAAAAAICMwoAwAAAMAZk8k0c+ZMNV6wYMH48eN9W4/nnD59etGiRWq8bt26bt26+bYeAAAAAAAAAIDb0SgDAAAA+NjMmTNNJpMab9u2Tafzu3kfZVlWA7vd7ttKPE27p4qi+LYSAAAAdDxXLf9rlS/7ugpPk7UoJ7/s2Pr9Piyl7e5M0lUHlfu6CpEYFdUl9Gpz13ZVQoaf+pvzEez62LN/PKOLjT2yu7i5nNCuMQ9881brqwQAAGg/aJQBAAAAfEyWZa0/AwAAAEBHJdvrbMo1X1fhYdJPYbXJVlLV4LtS3KDGGlRuq/F1FaK7MTRM32wZUXoh6lrq5gnVWy5cNAhdddGF5lJs9aZWVwgAANC++N1vVQEAAAAAAAAAAAAAAABPoFEGAAAAAAAAAAAAAAAAAYFGGQAAAAAAAAAAAAAAAAQEGmUAAAAAAAAAAICnmMrPHVk8ofZsga8LAQAAAISgUQYAAAAAAAAAAHiQoiiyTSiKr+sAAAAAhBDC4OsCAAAAALSGLMvHjh3bt2/fiRMnysvLbTbb0KFDV6xY0WTm8ePHjxw5cuLEieLiYpvNFhsbm5SUdOutt44cOTI4ONhdJSmKUlxcfPTo0RMnTvz4449XrlwxGAw9e/YcOHBgcnLysGHDWr0vRVEKCgr27t179OjRysrKsLCwQYMGjRw5cuzYsUaj0cVBZFk+dOjQd999l5+fX1VVFR0dPWjQoNGjR//sZz9z44MAAAAAAAAAAPBnNMoAAAAA/u7SpUvz5s1T4+XLlyclJRUWFi5fvry6utoxzWq1Nrqhoii7du3Kzs42m82Ol5eWlpaWlu7evVuv1z/zzDP33XefJEltqbCuru6LL77YunVro5IsFkthYWFhYeHnn38uSdL8+fNTU1Od7+v6O1tWVrZkyZKysjLHYfPy8vLy8tatW5eRkTFu3LgWK/zhhx+WL19eU1OjXVJRUVFRUbFv376QkJCXXnrptttuu7H7DAAAAAAAAABoh1h6CQAAAPB3iqLI/0cIcfDgwd/85jeNWlKuV19f/8ILL2RmZjbqknEky3JmZuZrr72mjtxqixYtys7Odl6Soihr165dtmyZ3W53nuZ4Z4uKiubOnevYJdMoeeXKlbm5uc7L+/LLL1944QXHLhlHZrN56dKlX3/9tfNBAAAAAAAAAAAdADPKAAAAAO3JoUOHtm/fLoQYMGDA448/PmDAgLCwMEVRysvL9+3bp6WZzeaFCxdeunRJ3ezSpcucOXOGDRsWGRkpSZLZbC4sLHz33XfPnTsnhDh48OCqVasWLVrUxtr69OkzefLkIUOGxMbGhoWFCSFkWa6qqsrLy9uwYYPJZBJCHD58eNOmTbNmzXJlwIKCgpycHEVRBg8ePHv27H79+ql3tqKiIicnZ/fu3WpaZmZmSkpKdHR0c4O8/fbb2uY999wzbdq0hIQEnU5nMpmKiorWr19/7ty5VatWPfLII218BAAAAAAAAAAAfo4ZZQAAAID25JNPPlEUZcqUKatWrRo2bJjRaJQkSafTJSQkOPZ5vP3221qXzP33379+/fpx48ZFR0frdDpJkkJDQ4cNG/bWW2+lpqaqOd9+++2xY8daXVVycvK6devWrFmTmpraq1cvtSpJkgwGQ5cuXR544IGNGzcOGTJETc7JyamqqnJl2M2bN9tsttmzZ7/xxhu33HKLdmfj4+PT09OffvppLXPbtm1NjiDL8ooVK7TNl19+eeHChT169NDr9ZIkhYWFJSUlvfXWW+PHj3cyCAAAAAAAAACgw2BGGQAAAKCdGT58+BNPPCFJUnMJRUVF33zzjRqPGjVq7ty5TSbrdLr09PTCwsKzZ88KIVavXv3ee+85GdaJtLQ05wkhISGvvvrqnDlz1HWgdu3aNXPmTFdGHj9+/LRp05q8atKkSTt27Lh8+bIQYvfu3WlpadcX/+WXX9bV1WlFjho16vpxdDrdwoULz549e+bMGVdKcmS327Xxm6MoivpfNYBzPEoBi0MfOLRjzUEPHI2ONX8TAxAHHfAoN55fbhmK8z1gcegDEAc9cPCSPmA5voX3+UF3bwE0ygAAAADtzLx585y3s3z44YdavHDhQifJkiQtWLAgIyNDCHH58uXz58/36tXLjaU6MhqNU6dO3bx5s7iRRpknn3yyuaskSZo6dWpWVpYQwmQyXblyJTY2tlHORx99pAZhYWGTJ092MlR6err6ONyQs2fPTp8+3XlO//79hRANDQ2VlZU3On6gMZvNaisVAo3dbucECTSKonDQA9a1a9d8XQK8rbq62tcl+AtbiFXofV0EboTVahXBvi5CLSO02WttNluLI8iyrP23OW55SdbQ0NDQ0NDGQdAe2Ww2Xt0FGlmWOegBy8W5otGR+MNBr6+vVwO73d720Vh6CQAAAGhP4uPje/To4SShoaHh4MGDanzXXXdFREQ4H3DAgAFhYWFqvH//frcU2ZwRI0aoQVVVlclkciXfef3ack5CiCtXrjS6trKyUvvIZsqUKXq9sy8lBgwYEBkZ2WJJAAAAAAAAAIB2jUYZAAAAoD0ZO3as8wR1HSUXk4UQkiQlJSWp8alTp9pQWsuioqK02JVfk48cOdL1Aa9evdroWseH4vbbb3c+lCRJd999d4slAQAAAAAAAADaNZZeAgAAANqTFpdGOn/+vBb37t3bxTHz8vKEED/88ENbalMUpaSkpKCg4Pjx4xcuXCgrK2u0jI7jrJjV1dVdu3Z1PmBCQoLzhODgn6ZBt1gsja4tLS3V4vj4eOdDif9bIwkAAAAAAAAA0IHRKAMAAAC0JzExMc4TSkpKtPj555/X6XRCCEVR1P9qgRDCbrergbZQfU1NjaIokiS1orADBw5kZWWVl5e7mH99X8v1QkJCWlGJ5uLFi1psNBpbzI+Li7vRXcTFxS1ZssR5zieffCKECA4O7tSp042OHzjMZrPVajUYDKGhob6uBV6iHnQ1liQpPDzct/XAa2w2m7r6Hv8qBg5ZlhsaGrRNo9Govj5BIKitrRVChIWFOV8EM3DU2PU2X9eAG+InT13nZbhSpPoPr/N/fiVJastf54aGBlmWg4KC2vg+Du2IyWSy2f75r5pOp3PlfTc6BqvVajabOegBRXsfpwoPD2/d54dodxRFqaurE/5x0LUC3FIJjTIAAABAe2IwtPAa3vGLKMd3sB61fv36nTt3emdfrnPsxXHlC7lWfJ4bGRn54IMPOs/5/PPPhRC0gDhns9msVqter+dRChyyLDs2ynDoA4fFYjGZTBz0gGK1Wh1fnwQHB7f4egYdhtooExwcHBQU5Ota/EKdSSfsLafBf/hJY5/zMlwpUv0+yfm3Sm3862yxWGRZ5o1PQLFarY6NMhz6gGI2m3lJH1DMZrPjx4whISF+8icSnma329VGGX846NqvPWmUAQAAANCY97952rNnj9Ylo9PpJk2alJKS0r179/DwcIPBIEmS9taltLR03rx5XivMcWEmu93e4u8sGy0UBQAAAAAAAADoeGiUAQAAADqUrl27avHmzZs9vZqJLMtZWVlqHBkZuWbNGieLQ2ld/97h+FDU19dHRUU5z6+srPRwRQAAAAAAAAAAH2NOJAAAAKBDuemmm7T48uXLnt5daWmpOv2mEOL555930iUjhLh06ZKn63HUo0cPLS4vL28x/8yZM54sBwAAAAAAAADgezTKAAAAAB1K3759tfjQoUOe3t358+e1ePDgwc6TvVCPI8eH4vDhwy3m/+1vf/NgNQAAAAAAAAAAP0CjDAAAANChREVFDRkyRI23bNlis9k8ujuz2azFer3eeebu3bs9WkwjcXFx2gw327dvd77wU1FR0bVr17xSFwAAAAAAAADAZ2iUAQAAADqa2bNnq0FDQ8O7777r0X3FxcVpcXFxsZPM7OxsT3ftXG/GjBlqUF9fv2vXrubSFEVZt26dt4oCAAAAAAAAAPgMjTIAAABAR3PzzTePGTNGjXNzc7Ozs51PpiKEqKio2LhxY11d3Y3uq0+fPlr8zjvvNNkKoyjKxx9/nJube6ODt11qaqrRaFTjrKysI0eOXJ+jdskUFRV5tzQAAAAAAAAAgA/QKAMAAAB0QAsXLuzWrZsa79ixY9asWZ9//nlZWZnFYlEvtNvtdXV1586d27Vr169+9au0tLScnBy73X6jO4qIiLjzzjvVuKSkJD09PT8/32QyqZfU19fn5+dnZGRs2rRJCDFt2jQ33LcbYTAYXnrpJW3z1VdfzczMLCsrU++pxWI5efJkRkaGuibUQw895OXyAAAAgEAQ2rXvbb/73043Jfm6EAAAAEAIIQy+LgAAAACA+4WEhLz11luvvfbasWPHhBC1tbVZWVke2teCBQvy8/Nra2uFEBcvXnzllVeaTEtPTx8+fPjWrVs9VEZzhg8f/uyzz2ZmZqqbubm5Tc5ts2DBgr59+3766aferQ4AAAAAAAAA4FXMKAMAAAB0TKGhob/97W9ffvnlqKgo55mSJKWmpq5ZsyYiIqIVOzIajZmZmYmJiU4qWbp06YQJE1oxuFtMnDjx9ddfDw8Pb/Jag8GwePHie++918tVAQAAAAAAAAC8jxllAAAAgA5LkqRRo0b9+c9/Li4uPnDgwOnTpwsLC69evSqEiI+P79WrV//+/YcNG5aYmBgUFNSWHUVFRb355punT5/es2dPQUFBSUmJuouhQ4empKSMGDGijeO33c033/zBBx8cOHDgu+++O3LkyNWrV6OjowcOHDhmzJg77rgjNDTUt+UBAAAAAAAAALxDUhTF1zUAAAAAQIc1d+7cQ4cOzZ8/Py0tzde1+K/a2lqTyRQSEtK6aY3QHtXV1TU0NDmTbL8AACAASURBVKixTqfr3Lmzb+uB11gslurqakmSYmNjfV0LvMRqtV67dk3bjI6ONhj48V6gqKioEEJERUX5vG3aT8hKtaLYfF2FZ0VF9Kqvr1fj9F//x69efNm39bRRcLCiN8i+rkIE60Swvtlrg+yy0dLgfAS7TVivyna7Ympo9ishyaCPHtK71UVWV1dbLJawsLDm5vJEx1NTU2M2m9XYYDBER0f7th54jclkqq2t1ev1MTExvq4FXmI2m2tqarTNzp0763QsXBMQ7Hb7lStXhH8c9Lq6urvuuksIsWXLln79+rVxNN6UAgAAAAAAAADgcXopUki+LsKLYoxBA7p08nUVgaGlKTJ1QoR0FkKIMC8UAwAA4Pdo9QIAAAAAAAAAAAAAAEBAYEYZAAAAAAAAAAD8S3XRhTObv+r3m6E6g+9noam1Gg5VuPSzW1n5aWWfv1+ofu//nfVUTW2TEK5M6lumxsrlq8LmyyWx7HbDlQM1Lee5IO4XU6UgvvcBAABoAS+YAAAAAP8yc+ZMk8l0QzfZsGFDZGSkh+oBAAAA4H01RaVHXv1TQsYvFavV17WIclPsZ+csrmTKil2LD52vLv3mjMeKapPkHmEPRO9TY6WoVDRc9WU1oV0uZ//glpFiZzxIowwAAECLeMEEAAAA+BdZlmVZ9nUVAAAAAAAAAAB0QC5NlggAAAAAAAAAAAAAAAC0d8woAwAAAPiv7du36/V6X1cBAAAAAAAAAEAHwYwyAAAAgP+SJMnXJQAAAABAm5jKzx1ZPKH2bIGvCwEAAACEoFEGAAAAAAAAAAB4kKIosk0oiq/rAAAAAISgUQYAAAAAAAAAAAAAAAABwuDrAgAAAAB4lizLx44d27dv34kTJ8rLy20229ChQ1esWNEoTVGU4uLio0ePnjhx4scff7xy5YrBYOjZs+fAgQOTk5OHDRsWHBzcugIURSkoKNi7d+/Ro0crKyvDwsIGDRo0cuTIsWPHGo1G18ex2+0//PDD3//+91OnTv34448mkykiImLAgAG33nrrz372s7i4OFcGkWX5+PHjR44cOXHiRHFxsc1mi42NTUpKuvXWW0eOHNnq+wgAAAAAAAAAaBdolAEAAAA6jkuXLs2bN0+Nly9fnpSUVFhYuHz58urqasc0q9XquFlXV/fFF19s3bq1UZrFYiksLCwsLPz8888lSZo/f35qaqokSTdUQFlZ2ZIlS8rKyhyHzcvLy8vLW7duXUZGxrhx41q8X4qifPnll++9915DQ4Pj5ZWVlZWVld9//31WVtbtt9/+zDPPJCQkOBlk165d2dnZZrPZ8fLS0tLS0tLdu3fr9fpnnnnmvvvuc34fAQAAAAAAAADtF40yAAAAQMehKIosy9rmwYMHly9f3uKtFi1aVFJS0uLIa9eu3b9//5IlS3S6ZpdwbVRAUVFRRkaGoijNJa9cubKurm7ixIlOdl1XV/fKK68UFRU5r/DgwYMHDx787LPPmry2vr5+yZIlhYWFTkaQZTkzM/PAgQOLFy/W6/XOdwcAAAAAAAAAaI9olAEAAAA6pkOHDm3fvl0IMWDAgMcff3zAgAFhYWGKopSXl+/bt+/6/D59+kyePHnIkCGxsbFhYWFCCFmWq6qq8vLyNmzYYDKZhBCHDx/etGnTrFmzXCmgoKAgJydHUZTBgwfPnj27X79+agEVFRU5OTm7d+9W0zIzM1NSUqKjo5scpKGhYcGCBRUVFepmaGjo9OnTx4wZExsbazAYFEWpqakpLi7+4osv9uzZ01wlZrN54cKFly5dUje7dOkyZ86cYcOGRUZG/n/27j0+qupc/P/aM5NkMnEyhFyIQC5AQAiGiNykQO2Po9AqHikiymlBwRaiFOhXLJWjICLpq9XSlwJRuUi9FKmiglgFlLYU5XCAYMWEEAJYk0AgFwjJZJK5798fu92dE5KZSTKZSTKf9x+8nj1Ze+1n7zUhe2aeWUuSJJvNVlJSsmXLltLSUiFEfn7+unXrli9f7s85AgAAAAAAAAC6FwplAAAAgJ7pgw8+EEJMnz593rx56lpCkiQlJyffd999ni1HjRq1YsWK/v37N+tBp9MlJibefffdd9xxx6pVq06fPi2E2Llz57Rp0+Li4nwmsGPHDiHE3Llz77vvPs8EkpKSFi1alJqaumXLFuXB999//5FHHmmxk3Xr1qlVMtnZ2StWrDAYDOpPJUkymUxZWVlZWVmPPPLI22+/3WIn69evV6tk7rrrrp/+9KeeE8bo9foRI0a89NJLL7/88qeffiqE+OKLL37wgx9kZWX5PEcAAAAAAAAAQPdCoQwAAADQdc2YMUMtMWlRYmLi5s2bW/tpdna2Z5VMa+bPn++9QVRU1DPPPPPQQw/ZbDYhxL59+2bPnu19F8XkyZNnzpzZ4o+mTZu2e/fu6upqIcT+/fvnz59/fZ6FhYXHjh1T4oyMjNWrV3tZEclkMj366KPXP37u3LnPP/9ciceOHbtw4cIWL4hGo1m0aFFJScm3334rhHjxxRe3bt3q89Jdvnz5+eef996moaFBCGGz2err6723DGdOp1MI4XA4uErhw3OZNlmWGfrw4Xa7BYMeZpotwmixWHz+hUUPY7FYvKzdidY0NjYKIWRZiC7wG+P2+MPdM7jdHrcibndor7HyxzEgzGazZLcHqrc2UW7p7Xa7q8c9W9AaZdAVLpeLu7vwofyv5Xa7GfTw0exPldls5pY+TKiv5rrCoCu3xyJA904UygAAAABdl8+bfu9vQebk5ATqBYzBYJgxY4YySYz/hTKtzRMjhJAkacaMGZs2bRJCWK3Wq1evxsfHN2uzfft2NV6+fLmXKhkvPKeZWbp0qZcLIknS4sWLly1bJoSorq6+cOFCSkqK984bGxsPHTrkvc2gQYOEEC6Xyx6iN6y7EbfbzVUKT7IsM/RhiEEPWw6HI9QpINg8P0mF//513WQf7YKiWcVbD+B2//uMQl6MFMDLa7fbQ/shlsvlolAmPHFLH4YY9HDGLX0Y6gqDHtj/cyjkBwAAAHqmpKSkfv36BbDDkSNHKkFtba3VavWnvdFo9NJg2LBhanz16tVmPzWbzadOnVK7Sk5Oblu6Qgghmpqa8vPzlfj222/3no8QIiMjIzo6WomPHDnSjiMCAAAAAAAAALoyZpQBAAAAuq5du3a1bxoVIcSkSZMCm4zJZFLjuro6vV7vvf2YMWP87/DatWvNfqosgaS48847/UzSSyf+XBBJkrKyspT1noqLi9t3UAAAAAAAAABAl0WhDAAAANB1dWTSbJ/LBjUjy3J5eXlhYeGpU6cuXrx4+fJlm83m2cBzHaj6+vo+ffp479DnHDCRkZFqfP3MmWVlZWqcnp7uvavWXLhwQY1TU1P92SUlJUUplDlz5ozPxnq9/tZbb/XexmKxCCE0Gk1ERIQ/CYQnl8vldrs1Gk27K8PQ7SiDrsSSJOl0vEERLmRZVhYT4X/F8KEOukKn04V8bXsEjTJDO4PePl3qvqjnjaDnGYX83AJ4eSMiIqQQ/YXllj4McUsfttxut8vlYtDDijLo6iZ3d2FFuaXvCi/hA5sD/38BAAAAPVNcXJz/jY8fP75p06aqqio/2/uzImxUVJT/CVyvoqJCjT3nnmmT8vJyNV6yZIlGoxFCyLKs/KsGQgi3260E6st+s9ksy7L3l/19+/bdvHmz9xwWLlwohNDr9e0+i3DQ0NBgtVojIiJ8Lo+FHsNisTQ1NSmxJEn8goQPu91eX1/PoIcVh8NRV1enbt5www18phI+ampqhBAxMTFd4Y31bqchJkYIIUmSHOpMhBAarVYIl+923YdnMYek0YQwEyGEJnAJxMbGanzN/dlJ6uvr7XZ7VFRUTExMSBJA8JnNZvULNlqtlru78GG1WhsaGjQaDYMePmw2m9lsVjdjY2MD+McLXZnb7b569aoQwmg0hnzQ1ReSAcmEF6UAAABAz+T/R1CbN2/+05/+1KnJtINnLU67P1lRP4YXQlit1o7mBAAAAAAAAADo5iiUAQAAAMLawYMH1SoZjUYzbdq08ePH9+3bNyYmRplGVZ1SpaKiIicnJ2iJeS7M5HA49O36WiRfWAcAAAAAAAAAeOJdYwAAACB8uVyuTZs2KXFsbOyGDRu8LNjkuRRxEPTt21eN6+vr27ciT58+fdR4x44dzAEOAAAAAAAAAGGOxcMAAACA8FVRUWGxWJR4yZIlXqpkhBCVlZVBSeqfUlNT1bi0tLR9nQwYMECNq6urO5oTAAAAAAAAAKCbo1AGAAAACF8XLlxQ46FDh3pvfOLEiU5O5/9IT09X4wMHDnS8kyDnDwAAAAAAAADogiiUAQAAAMKXzWZTY61W673l/v37Oz+jfzMajWrtTn5+fvvmszGZTMOGDVPid9991+l0Biw/AAAAAAAAAEA3RKEMAAAAEL4SEhLUuKyszEvLbdu2Bb/KZM6cOWq8bt06t9vdjk7mzp2rBE1NTVu2bAlMZgAAAAAAAACA7olCGQAAACB8paWlqfHGjRtbLIWRZfmdd97Zu3dvEPP6p6ysrNGjRytxcXHx2rVrrVZra40tFstrr712/ePDhw+fOHGiEu/du3fbtm0ul8v7cWtqat566y2LxdLexAEAAAD8m75P+q2//vMNA7JCnQgAAAAgBIUyAAAAQDgzGo0TJkxQ4vLy8kWLFp08eVItRmlsbDx58uSyZcu2b98uhJg5c2bwM3ziiSfi4uKUOD8/f968eR999FFNTY1S7CLLssViOXPmTF5e3uzZsz/88MMWO1m6dOmNN96oxLt3754zZ87HH398+fJlu92uPOh2uy0WS2lp6b59+37+85/Pnz9/586d7ZvABgAAAAAAAADQlelCnQAAAACAUFq8ePHJkycbGhqEEJcuXVq5cmWLzRYtWpSdnf3ee+8FNzthMBg2btz45JNPlpeXCyEsFsuWLVvauoJSVFTUSy+99NxzzxUUFAghGhoaNm3a1CnpAgAAAAAAAAC6NmaUAQAAAMKawWB45ZVXhgwZ0loDvV6/evXqqVOnBjMrT0ajccOGDfPnz9fpvBX6Z2dnv/zyy639VK/Xr1279umnnzaZTN4PJ0nSlClTNmzYYDQa25kxAAAAAAAAAKCrYkYZAAAAINyZTKYXXnjh7NmzBw8eLCwsVOZuSUpKyszMHD9+/MiRIyMiIkKboUajmT59+j333HPy5MmvvvqqqKiotLTUbrf37t170KBB2dnZ48aNS0pK8t6JJEljx4598803y8rKjh8/fvbs2ZKSkmvXrgkhkpKSUlJSBg0aNGLEiCFDhoT8fAEAAIAb0vvc/MQsg5TZFd7FT5Ajp/SX/Gn5hiQ5/xVn3XjDD8amdl5WHdE/VojYMUospV8VTkcIk5FdEfEPDgtIV5K2CzxdAAAAujzumQAAAICu5d133233vsnJyXv27GnHjpIkDRkyxMu8Mn523qYEjEZjm7LVarW33nrrrbfe6v8u15MkKS0tLS0trSOdAAAAAJ3NNDR1zPMLQ53FP8VGiPsG+NVyrvTvaezHpvb6+f+X0Vk5BcC/cosLaRZCaIXokx3iHAAAAMIKSy8BAAAAAAAAAAAAAAAgLDCjDAAAAMJXZWVlTk6OEq9ZsyYrKyu0+Vit1rNnzxYWFp45c+bSpUu1tbVutzsmJiY1NXXAgAEDBgwYNmxYnz59JMmvOc8Dm9js2bOVePHixZMnTw5yAgAAAECPJAtx1WYJwoFcdo1LDsbrCNkjbmx01FQH4+wCK0IvR0T/n2ullWSdRm6tfRBITrfGoS5pJZxNsuxsOR+3W3bYfaRq6BuvieCzIQAAENa4GQIAAOhmZs+ebbVa27TLG2+8ERsb20n5dGuyLLtcrlBnIYQQly5d2r59+6FDh67/kd1ur62tPXnypLJpNBpnzZo1depUvV4fzAzVC+V2u4N5XAAAAKAHc7nd/33swyAcSHM19VixPQgHsjn//XrhL5+crTn/QRAOGlgTpif3/m6V5yO3xMfFRJSHKh8hhKGpl/HQfnWz9myf6o9Pt9hSN3Dg4TdOeu9txunXTTelBDI/AACA7oZCGQAAgG7G5XJ1kdoOBITD4di6devevXv9bG82m1977bVt27bNmjXr/vvvj4yM7NT0AAAAAAAAAADoSSiUAQAAAELGbDYvX7784sWL6iM33njj9OnThw0blpCQYDAYJEmSZdlqtVZXVxcWFn7yySfl5eVCCFmW33nnnaioqJkzZ4YufQAAAAAAAAAAuhkKZQAAALqxXbt2abXaUGeBdmpsbPzZz35WW1urbMbFxf3yl7/MzMxs1kySJIPBkJaWlpaWdvfdd5eXl7/66qsFBQVBzxcAAAAAAAAAgG6PQhkAAIBuTJKkUKeAdpJlefXq1WqVzJAhQ3Jzc6OionzumJKSkpube/z48d/+9rednOO/6fX6PXv2BO1wAAAAAHqSOvPFjw4+PeU7K5Lih4Q6FwAAAEBoQp0AAAAAEI7+/Oc/FxcXK3FCQsKvfvUrf6pkVGPGjPn973+fmpraOdkBAAAAQMDIQrjdLiHkUCcCAAAACEGhDAAAABB8Dofj1VdfVTdXrFgRGRnZ1k4MBsPYsWMDmhcAAAAAAAAAAD0cSy8BAACEO5fLVVBQcPjw4aKioqqqKqfTmZmZmZub22LLU6dO/f3vfy8qKiorK3M6nfHx8VlZWbfccsuYMWPaUeohhJBlubCw8NChQ19//fWVK1eio6NvuummMWPGTJo0yWAw+N+P2+0+c+bMV199VVxcfP78eavVajQaMzIybrnllnHjxiUkJAQ/JS+OHDlit9uVeOjQoYMHDw5It12BLMtlZWVff/11UVHR+fPnr169qtPp+vfvP3jw4FGjRo0YMaJ9zxMRiHHpvNwAAAAAAAAAAN0FhTIAAABhpLKyMicnR4nXrFmTlZVVUlKyZs2a+vp6z2YOh6PZjrIs79u3b9u2bTabzfPxioqKioqK/fv3a7XaBQsWfP/735ckyf+jX758edWqVZcvX1bb2O32Y8eOHTt27OWXX162bNl3v/tdnycly/KBAwe2bt3a1NTk+fiVK1euXLly9OjRTZs2jR49esGCBcnJyT57C0hKPu3evVuNZ86c2fEOm/n8889/97vfKfH27du915EUFBSsWrVKiTdv3pyYmHh9G6vVOnv2bCVevHjx5MmTr29jsVg+++yz9957r9nTyW63l5SUlJSUfPzxx5IkPfbYY1OmTPHyPBGd8FQJYG4AAAAAAAAAgG6NQhkAAIAwIsuyy+VSN/Pz89esWeNzr8bGxlWrVpWUlHhp43K5XnnllePHjz/11FNardafo587d27ZsmWy3PIq9bIs//a3v7VYLD/4wQ+8HNdisaxcufLcuXPeTyE/Pz8/P3/Pnj3emwUkJZ9sNptnwsOHD+9Iby1qdql9Uhu3du6ebdxud4sNli9fXl5e7jOxvLy8I0eOrFq1SqNpdR3YgD9VApgbAAAAAAAAAKBbo1AGAAAgTJ04cWLXrl1CiIyMjIcffjgjIyM6OlqW5aqqqsOHD6vNbDbb0qVLKysrlc3ExMSHHnpoxIgRsbGxkiTZbLaSkpItW7aUlpYKIfLz89etW7d8+XKfRy8sLNy5c6csy0OHDp07d+7AgQOVo9fU1OzcuXP//v1Ks1deeWX8+PG9evVqsZOmpqbFixfX1NQom3q9ftasWRMnToyPj9fpdLIsm83msrKyzz777ODBg8FJyR8XL15U4/j4+JiYmHZ31QWlpaXdc889w4YNi4+Pj46OFkK4XK7a2tpjx4698cYbVqtVCPHll19u3759zpw5/nQYwHEJeG4AAAAAAAAAgG6HL0oCAACEqQ8++ECW5enTp69bt27EiBEGg0GSJI1Gk5ycfN9996nN1q9fr1bJ3HXXXZs3b/7ud7/bq1cvjUYjSZJerx8xYsRLL700ZcoUpc0XX3xRUFDg8+g7duxwOp1z5879zW9+c/PNN6tHT0pKWrRo0U9/+lO15fvvv99aJ+vWrVOrZLKzs19//fWZM2cmJydHREQovZlMpqysrMcff/ytt97yOQ1MQFLyR0VFhRoPGjSoI111KaNGjXr55Zc3bNgwZcqUlJQU5QJKkqTT6RITE+++++633npr2LBhSuOdO3fW1tb6021AxqWTcgMAAAAAAAAAdDvMKAMAANCNzZgxQ5IkLw0SExM3b97c2k+zs7PnzZvnpYdz5859/vnnSjx27NiFCxe22Fij0SxatKikpOTbb78VQrz44otbt271npgQYvLkyTNnzmzxR9OmTdu9e3d1dbUQYv/+/fPnz7++t8LCwmPHjilxRkbG6tWrW1vySQhhMpkeffRR7/l0PCU/KZ0oUlNT29dJFzR//nzvDaKiop555pmHHnrIZrMJIfbt2zd79mx/eu74uHRebhaL5X//93+9t7Hb7UIIp9OpdI4WKYttuVwurlL48FxhTZZlhj58OJ1OwaCHmWYrQtrt9jatEYkewOFwtLZ8J5zBujJeVllFM7LcfFBC/gR2u2Uvm578GWi73d4Zf4WVq8QtfVjx/NXg7i6scEsfhpRBV9nt9na/NYruRb216AqDrv6fE5A7WwplAAAAujGf79Z5/xAiJyfH+93t22+/rcZLly710liSpMWLFy9btkwIUV1dfeHChZSUFO+5PfLII156mzFjxqZNm4QQVqv16tWr8fHxzdps375djZcvX+6lSsZ/HUzJT3V1dWocFxfXvk66KYPBMGPGjB07doi2FKMEZ1zal1tlZeUvf/lL722UeYPsdrvZbG5fbuHD6XRylcKTslheqLNAsDHoYauxsTHUKSDYGHQvXMGqX3G7qFXyl9PZ/HV0yMv7XK7/8/Gk291qPm4/UrVYLFKn/RW22+3KVwUQblwuF3d34cbtdjPoYauhoSHUKSDYusKgqy8rKJQBAABA+yUlJfXr189Lg6ampvz8fCW+/fbbjUaj9w4zMjKio6ObmpqEEEeOHPFeKDNy5EjvHarr4Aghrq9+MJvNp06dUrtKTk72nps/OpiS/xwOhxrrdD5uyOvr6x966CEvDXJzczMzM9uXSUiMHDlSKUapra21Wq16vd5n++CMSztyAwAAAAAAAAB0OxTKAAAAdGO7du1q90wqkyZN8t5AWUfJz8ZCCEmSsrKylOWQiouLvTceM2aM9wYmk0mNr1275iW3O++802du/uhgSv6LiIhQ42bTlrbI+5cXu90M6p6Xsa6uzmcxStDGpR25AQAAAAAAAAC6HQplAAAAurGOLAvqc2mkCxcuqHFqaqqffSqFMmfOnPHe0uccMJGRkWp8/bzNZWVlapyenu5Pbj51MCX/xcbGqnEHCzu6IFmWy8vLCwsLT506dfHixcuXLzdbr9pzvbD6+vo+ffp47zCA4xLw3AAAAAAAAAAA3Q6FMgAAAGEqLi7Oe4Py8nI1XrJkiUajEf+av0SWZTUQQrjdbiVQ5z4xm82yLHup44mKiupI8hUVFWrsOQtIR3QwJf8lJiaqsWfFT4tiY2P37NnT7MHdu3dv27Yt8Jl12PHjxzdt2lRVVeVne3/qjQI1Lp2RmxAiNTX1T3/6k/c2K1euFEJER0f37t3bz6OHIYvFYrPZoqKiYmJiQp0LgqSxsdFqtSqxRqPp1atXaPNB0DgcDrPZLEmSz1sR9BhOp7O+vl7djI2N9bn6JHqMq1evCgbdK6dHrXan0mq1QnibqxKqiIjmT9eQP4F1ugjPTa221Xy0fqRqMplMnfDapKGhwW636/V6g8EQ8M7RNSmDrsQ6nc7ze0Ho2Ww2m8Vi0Wq1gXpTDl2f3W5vaGhQN3v16qW8V4wez+12K1/17AqDrr5RHJBMeH0CAAAQpny+09fU1KTG6meZXYRnEYPnSkbdQt++fdX4m2++aUcP7V5vq1Nt3rzZZ8lIqHRebjqdzuecN8orN0mSQv5isitT6+q4SuGjWTElQx8++H0PQ9f/vjP64YYbIS+Cd13aPxtpGGp+sToymWtANDt+B9Pp1P+H+X0PK9zShy1u6cMQt/ToCoMe2AQolAEAAEDLQv6dOS88V9txOBx6vT6EybRVv3791Li6urqxsbEHfN/u4MGDaiWKRqOZNm3a+PHj+/btGxMTo9PpJElSX05XVFTk5OSQGwAAAAAAAAAgJLruhx8AAAAIrT59+qjxjh07utR6KJ6TstTX1xuNxhAm01Z6vX7gwIHqXDJFRUWjR4/uvMMpq2J5oS6Y1W4ul2vTpk1KHBsbu2HDBi+raXT8cG3SlXMDAAAAAAAAAAQfcyIBAACgZQMGDFDj6urqEGZyvdTUVDUuLS0NYSbtc++996rxzp07A96/59pMPos/ampqOni4iooKi8WixEuWLPFSiSKEqKys7ODh2qQr5wYAAAAAAAAACD4KZQAAANCy9PR0NT5x4kToEmmBZ24HDhwIXSLtNGHCBHVlq9OnT5eUlAS2/9jYWDU2m83eGxcWFnbwcBcuXFDjoUOHem8c5OdSV84NAAAAAAAAABB8FMoAAACgZSaTadiwYUr87rvvOp3O0ObjyWg0qkUP+fn53W4ikMjIyAULFqibzz//vN1uD2D/CQkJavyPf/zDS0u73X7w4MEOHs5ms6mx52Q2Lbbcv39/Bw/XJl05NwAAAAAAAABA8FEoAwAAgFbNnTtXCZqamrZs2RLaZJqZM2eOGq9bt87tdocwmXaYOnVqRkaGEldVVT3zzDMBrJVJSkqSJEmJ9+zZ46XlO++80/FL51mXU1ZW5qXltm3bglxx1ZVzAwAAAAAAAAAEH4UyAAAAaNXw4cMnTpyoxHv37t22bZvL5fK+S01NzVtvvWWxWDo7t6ysrNGjRytxcXHx2rVrrVZra40tFstrr73W2Sm1iSRJa9asUddIOnXqVE5OztmzZ33uaLPZfC6WpNVq1YErLi4+evRozM3MCwAAIABJREFUi83+8pe/7Ny5sy1ZtywtLU2NN27c2GK5iSzL77zzzt69ezt+uDbpyrkBAAAAYaKXsd/ce99Mir8p1IkAAAAAQlAoAwAAAO+WLl164403KvHu3bvnzJnz8ccfX758WZ3+xO12WyyW0tLSffv2/fznP58/f/7OnTuDM7/LE088ERcXp8T5+fnz5s376KOPampqlGoeWZYtFsuZM2fy8vJmz5794YcfBiGlNrnhhhvy8vKSk5OVzZqammXLlv3sZz87cOBAeXl5U1OTLMvKjxwOR11dXUFBQV5e3qxZs44cOeKzc88Zd3Jzc3fs2HHt2jWlQ5vNdvbs2dWrV7/44otarfb+++/v4IkYjcYJEyYocXl5+aJFi06ePKnWLTU2Np48eXLZsmXbt28XQsycObODh+sxuQEAAAAAAAAAgk8X6gQAAADQpUVFRb300kvPPfdcQUGBEKKhoWHTpk2hTuqfDAbDxo0bn3zyyfLyciGExWLZsmVLV1siyjuTybRx48ZXX331wIEDyiNlZWXr16/3Z9+4uLgFCxZkZma2+NPk5OTZs2fv2LFD2dyxY4cae/r1r39tt9s7Pq/M4sWLT5482dDQIIS4dOnSypUrW2y2aNGi7Ozs9957r4OH6zG5AQAAAAAAAACCjBllAAAA4INer1+7du3TTz9tMpm8t5QkacqUKRs2bDAajcHJzWg0btiwYf78+TqdtxLw7Ozsl19+OTgptVVkZOSSJUvy8vLGjx/v5y7Dhw/Pzc19/fXXJ0yYIElSa80efPDBnJyc1n6akJCQl5d3002BmfzcYDC88sorQ4YMaa2BXq9fvXr11KlTA3K4NunKuQEAAAAAAAAAgowZZQAAAOCbJEljx4598803y8rKjh8/fvbs2ZKSkmvXrgkhkpKSUlJSBg0aNGLEiCFDhkRERAQ5N41GM3369HvuuefkyZNfffVVUVFRaWmp3W7v3bv3oEGDsrOzx40bl5SUFOSs2iolJWXFihVNTU0lJSVff/11SUnJpUuXrly54na7o6Oj+/btm56e3r9//8GDBw8aNMhgMPjTpyRJd91116RJkw4dOnT8+PEzZ840NjYmJCQMHz78e9/7XnZ2tlarDeApmEymF1544ezZswcPHiwsLFSm+UlKSsrMzBw/fvzIkSOD/9zoFrkBAAAgzBkj9ME4jE7X26+XER3lWcgfGaWNNQXl7AJKr9dFaf9P2pKk00jRocpHCCEJnYiK/fdmZLQuruXvsUjR0fqkXj560/INagAAEO4kWZZDnQMAAAAA9FgLFy48ceLEY489Nn/+/FDn0nU1NDRYrdaoqKigzUeFkLNYLE1NTUqs0Wh69+4d2nwQNHa7vb6+XpKk+Pj4UOeCIHE4HHV1depmr169vM8FiJ6kpqZGCGEymahLDh8xMTGNjY1K/PTTTz/33HOhzQdBU19fb7fbo6OjY2JiQp0LgsRsNttsNiXW6XS9evko0kKPYbVaGxoatFptXFxcqHNBkNhsNrPZrG727t1bo6HsMiy43e6rV6+KrjHoFovl9ttvF0K8++67AwcO7GBvPIMBAAAAAAAAAAAAAAAQFvj2BgAAANAlWK3Ws2fPFhYWnjlz5tKlS7W1tW63OyYmJjU1dcCAAQMGDBg2bFifPn0kSfLdFwAAAAAAAAAAaAmFMgAAAECIXbp0afv27YcOHbr+R3a7vba29uTJk8qm0WicNWvW1KlT9Xp9cHMEAAAAepTLL262flMaqqPbvn/LpVtaXaPkyysatywHM59mjJqY/K+j2rev3fXvzP/nb6W/eurTACUVjmbMi0jsb/bdzg+9ii5Kljrf7Vp39n+ivtlb5qWBy+Vyu90ajUar1bap59TpE4f//L6O5AYAANBWFMoAAAAAIeNwOLZu3bp3714/25vN5tdee23btm2zZs26//77IyMjOzU9AAAAoKeynvtHY8HpUB3dNjG9xmpv7afn67RO2R3MfJq5MSr+y/KI9u3rWeJztdpy5lRlgJIKRw0Wg8ldE5Cu3HWl2mtVHenBWhF/+dDXAUmmmbisAZ3RLQAAgBcUygAAAAChYTably9ffvHiRfWRG2+8cfr06cOGDUtISDAYDJIkybJstVqrq6sLCws/+eST8vJyIYQsy++8805UVNTMmTNDlz4AAAAAAAAAAN0PhTIAAABACDQ2Nv7sZz+rra1VNuPi4n75y19mZmY2ayZJksFgSEtLS0tLu/vuu8vLy1999dWCgoKg5wsAAAAAAAAAQE+gCXUCAAAAQNiRZXn16tVqlcyQIUM2b958fZXM9VJSUnJzc1euXBkdHd3JOQIAAAAAAAAA0ANRKAMAAAAE25///Ofi4mIlTkhI+NWvfhUVFeX/7mPGjPn973+fmpraOdkBAAAAQCDVmS/+4aN5VVdKQp0IAAAAIASFMgAAAECQORyOV199Vd1csWJFZGRkWzsxGAxjx44NaF4AAAAA0ClkIdxulxByqBMBAAAAhBBCF+oEAAAAgPBy5MgRu92uxEOHDh08eHBwjutyuQoKCg4fPlxUVFRVVeV0OjMzM3Nzc1tseerUqb///e9FRUVlZWVOpzM+Pj4rK+uWW24ZM2ZMW8t6Atib2+0+c+bMV199VVxcfP78eavVajQaMzIybrnllnHjxiUkJAQ5HwAAAAAAAABAt0OhDAAAABBUu3fvVuOZM2d2xiEqKytzcnKUeM2aNVlZWSUlJWvWrKmvr/ds5nA4mu0oy/K+ffu2bdtms9k8H6+oqKioqNi/f79Wq12wYMH3v/99SZJ8phHA3mRZPnDgwNatW5uamjwfv3LlypUrV44ePbpp06bRo0cvWLAgOTk5CPkAAAAAAAAAALopCmUAAACA4LHZbOfOnVM3hw8f3hlHkWXZ5XKpm/n5+WvWrPG5V2Nj46pVq0pKSry0cblcr7zyyvHjx5966imtVhuc3iwWy8qVKz2vW4vy8/Pz8/P37NnT2fkAAAAAAAAAALovCmUAAACA4Ll48aIax8fHx8TEdPYRT5w4sWvXLiFERkbGww8/nJGRER0dLctyVVXV4cOH1WY2m23p0qWVlZXKZmJi4kMPPTRixIjY2FhJkmw2W0lJyZYtW0pLS4UQ+fn569atW758eWsHDWBvTU1NixcvrqmpUTb1ev2sWbMmTpwYHx+v0+lkWTabzWVlZZ999tnBgweDkA8AAAAAAAAAoFvThDoBAAAAIIxUVFSo8aBBg4JwxA8++ECW5enTp69bt27EiBEGg0GSJI1Gk5ycfN9996nN1q9fr9aR3HXXXZs3b/7ud7/bq1cvjUYjSZJerx8xYsRLL700ZcoUpc0XX3xRUFDQ2kED2Nu6devUKpns7OzXX3995syZycnJERERyomYTKasrKzHH3/8rbfe+sEPftDZ+QAAAAAAAAAAujUKZQAAAIDgqa6uVuPU1NTgHDQ7O3vevHmSJLXW4Ny5c59//rkSjx07duHChS0uPKTRaBYtWpSenq5svvjii7Isd2pvhYWFx44dU+KMjIzVq1cbDIbWzsJkMj366KOdfXYAAAAAAAAAgG6NpZcAAACA4Kmrq1PjuLi44Bw0JyfHS5WMEOLtt99W46VLl3ppLEnS4sWLly1bJoSorq6+cOFCSkpK5/W2fft2NV6+fHmLBS4+BfbsmvnHP/7x4x//2HsbpZPGxsYrV660Ie+wZLfbuUrhw7MWze12M/ThRpZlBj1sed4OIUzU19eHOoUWOJ3OsD26T06XU4iIUGcB4XIF7HniluX2vJry0HlPWqvVyl1BD+B0OhnHcONyuRj0sFVbWxvqFBBsXWHQGxsblcDtdne8NwplAAAAgOBxOBxqrNP5uBuvr69/6KGHvDTIzc3NzMz03klSUlK/fv28NGhqasrPz1fi22+/3Wg0eu8wIyMjOjq6qalJCHHkyJFmpSQB7M1sNp86dUqJR44cmZyc7L2rFgX27K4ny7LNZvPZplmA1nCJwhmjH4YY9LDF0Iehrjnooc2qa14TdDlh8zThN6JnYBzDEIMethj6MNQVBj2wObD0EgAAABA8ERH//l6mP1/Ic3nlz2uDSZMmeW/w7bff+t9YCCFJUlZWlhIXFxd3Xm+eXd15550+u2pRYM8OAAAAAAAAANDdUSgDAAAABE9sbKwaX7t2LQhH9DknyoULF9Q4NTW1TX2eOXOm83orKytT4/T0dH+6ul5gzw4AAAAAAAAA0N2x9BIAAAAQPImJiWrsWQjSotjY2D179jR7cPfu3du2bfP/iHFxcd4blJeXq/GSJUs0Go341zyWsiyrgRDC7XYrgcvlUtqbzWZZliVJ6ozeKioq1K5MJpP/p9x5Z3e9uLi4Rx991HsOf/vb34QQERERBoOhfWcRDux2u9Pp1Gq1UVFRoc4FQaIMuhJLkhQdHR3afBA0LpdLWbSO/xXDh9vttlqt6qZer1f+IiMcNDY2CiGioqK0Wm2oc2muXqt1+G7VWbTaLv1bwC9pFxHAgfD+usYfnfes0Ol03BV0U5639BqNRq/XhzYfBI3T6bTb7byOCyvq6zhFdHR0x/+yoFuQZVlZpL7nDTqFMgAAAEDw9O3bV42/+eabdvTQ1s8YdDof9/zKSx2F54dY7RPA3ux2uxp7LlkVqnxaFBcX98gjj3hvc+zYMUGhjC9ut9vpdPIWeViRZdmzUIahDx92u91mszHoYcXhcDQrlPF5f4IeQymU0ev17b6d6zyhrQXRaLpc5ZAnjUShTJcgBbBQpsM9UCiD67lcLs9CGcYxfFitVrvdzqCHFZvN1qxQhrLaMOF2u9VCmZAPuvItRxGg2xKewQAAAEDw9OvXT42rq6uVTw5CK7CfVAWwt8jISDV2ONr5dV8+hwMAAAAAAAAAeOJdYwAAACB49Hr9wIED1blkioqKRo8eHdqU+vTpo8Y7duyIiYnpIr15zr5TX19vNBpDmw8AAAAAAAAAoAdgRhkAAAAgqO6991413rlzZwgzUQwYMECNq6uru05vqampalxaWhryfAAAAAAAAAAAPQCFMgAAAEBQTZgwQV0P6PTp0yUlJaHNJz09XY1PnDjRdXrz7OrAgQMhzwcAAAAAAAAA0ANQKAMAAAAEVWRk5IIFC9TN559/3m63hzAfk8k0bNgwJX733XedTmcX6c1oNA4dOlSJ8/PzKysrQ5sPAAAAAAAAAKAHoFAGAAAACLapU6dmZGQocVVV1TPPPBPaWpm5c+cqQVNT05YtW7pOb3PmzFHjdevWud3u0OYDAAAAAAAAAOjuKJQBAAAAgk2SpDVr1sTGxiqbp06dysnJOXv2rM8dbTZbYWFhwPMZPnz4xIkTlXjv3r3btm1zuVzed6mpqXnrrbcsFkun9paVlTV69GglLi4uXrt2rdVqba0Ti8Xy2muvdWo+AAAAAAAAAIDuThfqBAAAAIBwdMMNN+Tl5f3iF7+4fPmyEKKmpmbZsmWpqanTp0+/6aabEhIS9Hq9JElCCIfD0djYWFZWdujQoU8//VSW5c7IZ+nSpefPn7906ZIQYvfu3QcOHPjRj340atSo3r17R0ZGCiHcbndTU1NNTc3p06f37dv3zTffCCGmT5/e2b098cQTjz76aG1trRAiPz9/3rx5//Vf/zV+/Pi4uDitVivLcmNj44ULFw4cOLB//34hxCOPPNLZZwcAAACgTXoZ+829981QZwEAAAD8E4UyAAAAQGiYTKaNGze++uqrBw4cUB4pKytbv369P/vGxcUtWLAgMzMzUMlERUW99NJLzz33XEFBgRCioaFh06ZNXaE3g8GwcePGJ598sry8XAhhsVi2bNnS1hWUAnt2AAAAAAAAAIDui6WXAAAAgJCJjIxcsmRJXl7e+PHj/dxl+PDhubm5r7/++oQJE5QpZwJFr9evXbv26aefNplM3ltKkjRlypQNGzYYjcYg9GY0Gjds2DB//nydzluhf3Z29ssvvxyEfAAAAAAAAAAA3RczygAAAAAhlpKSsmLFiqamppKSkq+//rqkpOTSpUtXrlxxu93R0dF9+/ZNT0/v37//4MGDBw0aZDAYOi8TSZLGjh375ptvlpWVHT9+/OzZsyUlJdeuXRNCJCUlpaSkDBo0aMSIEUOGDImIiAhmbxqNZvr06ffcc8/Jkye/+uqroqKi0tJSu93eu3fvQYMGZWdnjxs3LikpKZhnBwAAAAAAAADojiiUAQAAALqE6Ojo7Ozs7OzsjneVnJy8Z8+edu8uSVJaWlpaWlrHMwlsb1qt9tZbb7311lu7SD4AAADovvo8Ns/VYAnV0V2JN/RNvqG1nw6Lk4UI5OSRbSW7NFMT21k7PvlZjfVf8bhJqYse/Y9AZRWGUgbI0VHugHSlG2EWzg51lZriSrhrlpcGjY2NTqczMjJSr9e3qeeYFB/feQAAAAg4CmUAAAAAAAAAAOElOnNIaBPwsiBon+jgpdGqhHbup/Go8Ensc0PWyL4BSQcdFd/RDuL6iDivDerr6+12e3R0dExMTEcPBgAA0Mk0oU4AAAAAAAAAAAAAAAAACAZmlAEAAAA6qrGxsaioqLCw8MyZM5WVldeuXYuIiIiPjx88ePDAgQNvvvnmAQMGaDQUqQMAAAAQQoi6M+WVXxQGsMPYRL1e6/Le5lrf3hdv9DKRTWC4ZVmNy7699rcD5zr7iIEiRemumiL9aanTiOFpTUocHyXrNE6fu2gdcmRVTYfy66DIG6QbR4YyAQAAgK6EQhkAAACg/crLy994441jx441e9zpdF64cOHChQt//etfhRBRUVEPPPDAtGnT2rpYOwAAAICep/KLwsM//W0AOxw1Z4zu22Lvbb59+K4PG24I4EFb5JTdavx1fsU285HOPmKgJKeaDvTz6/rE6iMW3VOmxBOSDUJU+dwl0t0r7sv9Hcqvg+IGUCgDAACg4lutAAAAQHs4HI7169cvWrTo+iqZ69lstjfffHP27Nkff/yx7PENSwAAAAAAAAAAEEzMKAMAAAC0mdls/sUvflFRUaE+kpyc/OCDDw4ZMiQhISEqKkoI4XQ66+rqzp079+mnn+bn5wshXC7Xpk2b0tPThw8fHrLUAQAAAAAAAAAIYxTKAAAAAG3T1NS0ZMmSK1euKJsGg+Hpp58ePny4JEmezSIiIhISEhISEm677bba2tqtW7d+/vnnocgXAAAAAAAAAAD8E0svAQAAAG0gy/LatWvVKpmBAwdu27bt5ptvblYl00xcXNwvfvGLZ599NjIyMihpAgAAAEBXUWe++IeP5lVdKQl1IgAAAIAQFMoAAAAAbXLo0KGCggIljo2N/fWvf20wGPzcd+TIkVu2bImJiem07AAAAACgy5GFcLtdQsihTgQAAAAQgqWXAAAAAP85nc68vDx1c/ny5Xq9vk09xMXFxcXFBTovAAAAAAAAAADgFwplAAAAAH8dPXrUarUqcXp6elZWVmjz8Z/L5SooKDh8+HBRUVFVVZXT6czMzMzNzW3WTJblsrKyr7/+uqio6Pz581evXtXpdP379x88ePCoUaNGjBjRjqWj3G73mTNnvvrqq+Li4vPnz1utVqPRmJGRccstt4wbNy4hIcH77gFPqbq6+vDhw6dPny4uLrZYLHq9fsiQIZmZmd/5znf69u3b1rMDAAAAAAAAAHQvFMoAAAAA/vrwww/V+MEHH5QkKSDdfv7557/73e+UePv27d7XciooKFi1apUSb968OTExsVmDysrKnJwcJV6zZk1WVlZJScmaNWvq6+s9mzkcDs9Ni8Xy2Wefvffee82a2e32kpKSkpKSjz/+WJKkxx57bMqUKX6euCzLBw4c2Lp1a1NTk+fjV65cuXLlytGjRzdt2jR69OgFCxYkJydfv3vAU6qrq3v++efVlbPU3vLz8/Pz8998882BAwf+93//d1JSkj9nBwAAAAAAAADojiiUAQAAAPxit9uLi4vVzQBOJyPLssvl8r+92liWZZ+95efnr1mzxmefy5cvLy8v95lnXl7ekSNHVq1apdFovDe2WCwrV648d+6c92ZKkcqePXs6OyWlwMj7df7mm29+8pOf/PKXv5wwYYL34wIAAAAAAAAAuikKZQAAAAC/VFRUqHFcXJzRaAxhMn46ceLErl27hBAZGRkPP/xwRkZGdHS0LMtVVVWHDx++vn1aWto999wzbNiw+Pj46OhoIYTL5aqtrT127Ngbb7yhLDv15Zdfbt++fc6cOV6O29TUtHjx4pqaGmVTr9fPmjVr4sSJ8fHxOp1OlmWz2VxWVvbZZ58dPHjQ+ykEJKVvv/32qaeeUjezs7Pnzp2blpYWERHhdDovXry4ffv2o0ePKj/9zW9+89xzz2VnZ3tPDAAAAAAAAADQHVEoAwAAAPjlwoULajxo0KAQZuK/Dz74QAgxffr0efPmqYsTSZKUnJx83333ebYcNWrUihUr+vfv36wHnU6XmJh4991333HHHatWrTp9+rQQYufOndOmTYuLi2vtuOvWrVOrZLKzs1esWOG5npQkSSaTKSsrKysr65FHHnn77bdb7CRQKblcrmeffVbdnDdv3g9/+EN1MyIiIj09/amnnvr00083btyoPJibm/uHP/whMjKytRMEAAAAAAAAAHRTFMoAAAAAfqmurlbj1NTUEGbSJtnZ2Z5VMq2ZP3++9wZRUVHPPPPMQw89ZLPZhBD79u2bPXt2iy0LCwuPHTumxBkZGatXr9Zqta11azKZHn300U5N6S9/+cuVK1eUeOrUqZ5VMp6mTJlSWVm5c+dOIYTVan3//fdbO0FPNTU1mzdv9t6mqalJCGG32xsaGnx2GLYcDocQwul0cpXCh9PpVGNZlhn68OF2uwWDHmaUQVc1Njb6XMMRPUxTU5NywwZVwC+Iy+Xy+V5/m9Z7DUPN/rPywnMNXLfb5c9/aSG/+G63u7GT//Iqd3cOh4M/8eHD85be7XYz9OFD+T+NQQ8rzf6QWSwWn282omdQb3u6wqA3NjYqgf+3bV5QKAMAAAD4pa6uTo3j4+NDmEmb5OTkBOo1jMFgmDFjxo4dO4TXQpnt27er8fLly71UyQQnpT/+8Y9qPG/ePC+9PfDAA7t27VLe6Xv//fcfeOABnx/j1dfXK9P2eKHMP+R0OpWFouCFy+UK+UcICAlZlvkFCUMMetiy2+2hTgHBxqBfT6kSDiB/Pi0IyCcKPZhn+Yv/Ld1u2Z9CGf877yRutzs4f3mdTqdn8QTCR9CeY+g6eB0XzqiBDkNdYdAD+38O394AAAAA/OL5XrZO1z0qzpOSkvr16xfADkeOHKkEtbW1Lb4yMZvNp06dUhsnJycH8OjtSKmmpkadCmjy5MmeK0BdLzIy8j//8z+V2G63f/vttwHOFQAAAAAAAAAQahTKAAAAAH6JiIhQ4+7yDblJkyYFtkOTyaTGnlPsqDyLS+68887AHr0dKZWVlanxxIkTffZ22223qfG5c+c6nB0AAAAAAAAAoGvpHl+EBQAAAEIuNjZWjWtra0OYif9SUlLa1F6W5fLy8sLCwlOnTl28ePHy5cvNJtX0nK29vr6+T58+zXrwLExJT09vc8aBTunixYtq3LdvX5+H85wCp7S01Gf7iIiI1NRU722U9ZskSerUVai6O7fbLcuyJEk+l7tCj6EMurrJL0j4kGVZ+a+bQQ8f6qArNBpNyNe2R9Aoiyoy6NcL+D2PP1eYUfDB/+vj0bAbXdTO/svLLX0Y4pY+bCl3d/y+hxVu6cOZckvfFf6TD2wOFMoAAAAAfklMTFRjz3KQriwuLs7/xsePH9+0aVNVVZWf7e12+/UPVlRUqLHnXC/t0/GULl26pMaepU6tiYmJUWPPIpvWpKSkfPDBB97bLFy4UAgRHR3dpuEINw0NDVarNTIy0mg0hjoXBInFYmlqalJijUbDL0j4sNvt9fX1kiQx6OHD4XB4zvoWGxvbXVaxRMfV1NQIIYxGo+fsjBBCVHtdErQd/Pm14lfPO63fH/dqpH+31Gr9uqohv/g6na6z//LW19fb7Xa9Xu/5qgo9m9lsVr/KotPpevXqFdp8EDRWq7WhoYHXcWHFZrOZzWZ1s1evXpRJhQm323316lUhhMlkCvmgR0ZGKkFAMuHOGAAAAPBLv3791Pj8+fMhzMR//r8bu3nz5j/96U8dP6JnqUoHPw4JSEoOh0ON/bkanq+ymk1dAwAAAAAAAADoASiUAQAAAPziuXDPlStXzGZzj5n64uDBg2pJikajmTZt2vjx4/v27RsTE6PT6SRJUidTraioyMnJ8dKVWtcvhHA4HHq9PrQpeRbrKNOEeuc5i2xUVFT7kgcAAAAAAAAAdFkUygAAAAB+0ev1GRkZ586dUzZPnTp12223Bfwonst7t8ifao82cblcmzZtUuLY2NgNGzZ4mTjX59E9y4nq6+vbV0sUwJT69Omjxmaz2ecc4BaLRY09zwUAAAAAAAAA0DOweBgAAADgrx/+8Idq/Mc//tFnUYuftFqtGvusRKmpqQnIQVUVFRVqdciSJUu8Ly9dWVnpvbfU1FQ1Li0tDXlK/fv39+zW56E9e0tLS/PZHgAAAAAAAADQvVAoAwAAAPjrtttuU5fj+eabb4qKigLSbWxsrBqbzWbvjQsLCwNyUNWFCxfUeOjQod4bnzhxwnuD9PR0NT5w4EDIU/Is3Dly5IjPQx87dkyNBw0a5LM9AAAAAAAAAKB7oVAGAAAA8FdERMTChQvVzeeff95ms7Wph7q6urKysmYPJiQkqPE//vEPL7vb7faDBw+26Yg+eZ6C59w2Lbbcv3+/996MRqNa2pKfn+9zBprOTikxMVG9vJ9++qnVavXS2OFw7NmzR4kjIyMHDhzob8YAAAAAAAAAgG6CQhkAAACgDf7jP/5DLQSpra196qmnvNdeeCooKPjpT396/ZwxSUlJkiQpsVqo0aJ33nnH7Xa3MWUfPMt0ri/i8bT4dmBuAAAgAElEQVRt2zan0+mzwzlz5qjxunXr2pFwYFN64IEHlECW5bfffttLy127dqk1Ovfee69Gw8slAAAAAAAAAOhpeOcXAAAAaANJklavXm0ymZTNkpKSRx55pKSkxPteZrN5/fr1rVXVaLXaiRMnKnFxcfHRo0db7OQvf/nLzp07O5B7y9LS0tR448aNLdadyLL8zjvv7N27158Os7KyRo8ercTFxcVr1671UktksVhee+21Tk3pjjvuiIuLU+Ldu3e3NgPNoUOH/vCHPyhxVFTU/fff77NnAAAAAP7oZew39943k+JvCnUiAAAAgBAUygAAAABtZTAYNm7c2KdPH2XTbDY/8cQTixYt+vzzzy9fvuxwOJTHXS5XXV3d3//+9xdeeOFHP/rRgQMHvPTpOQtLbm7ujh07rl27JsuyEMJms509e3b16tUvvviiVqsNeAGH0WicMGGCEpeXly9atOjkyZNqaUtjY+PJkyeXLVu2fft2IcTMmTP96fOJJ55Qa1Py8/PnzZv30Ucf1dTUuFwuIYQsyxaL5cyZM3l5ebNnz/7www87NSWtVrty5Up1My8vLzc3t7S0VKm/cblcFy5cWLdu3W9/+1u1zZNPPqnX6/05UwAAAAAAAABA96ILdQIAAABA92MymfLy8vLy8v76178qj5SXl7/wwgve99JoNPPmzRs2bNj1P0pOTp49e/aOHTuUzR07dqixp1//+td2uz3g88osXrz45MmTDQ0NQohLly55lpV4WrRoUXZ29nvvveezQ6WW6MknnywvLxdCWCyWLVu2bNmyJVQpZWRkPPvss88++6yyDtTRo0dbm7ZHCPH444+PGjXK/1QBAAAAAAAAAN0IM8oAAAAA7REZGfn//t//W79+/ciRI3021ul0P/7xj//4xz/ee++9Gk3LN+EPPvhgTk5Oaz0kJCTk5eXddFOnzFVuMBheeeWVIUOGtNZAr9evXr166tSp/vdpNBo3bNgwf/58nc5bdX52dvbLL78chJRGjhz5+9//fujQoV7apKambt68+Xvf+56ffQIAAAAAAAAAuh1mlAEAAADaLz09/dlnnzWbzadPny4oKDhz5kxlZeW1a9ciIiLi4+MHDx48cODArKysgQMHarVa711JknTXXXdNmjTp0KFDx48fP3PmTGNjY0JCwvDhw7/3ve9lZ2f77KEjTCbTCy+8cPbs2YMHDxYWFiozwSQlJWVmZo4fP37kyJERERFt7VOj0UyfPv2ee+45efLkV199VVRUVFpaarfbe/fuPWjQoOzs7HHjxiUlJQUtpbi4uOeff76qquqLL74oKio6ffp0Q0ODwWC46aabMjMzv/Od7/Tv37+t5wgAAAC0Q+ygvoN+9B8B7DAmM1k/uI/3Nn2S+41LigvgQVv0uiSpcd9U0/jbB3T2EQNFb9JHJBr8ahkhpd7wz+8/RGi0Oo3J5y46u1ZKua1D+XVQTGIojw4AANDFSLIshzoHAAAAAOixFi5ceOLEiccee2z+/PmhzqXramhosFqtUVFRRqMx1LkgSCwWS1NTkxJrNJrevXuHNh8Ejd1ur6+vlyQpPj4+1LkgSBwOR11dnbrZq1cv7xPOoSepqakRQphMpnZUXaObiomJaWxsVOKnn376ueeeC20+CJr6+nq73R4dHR0TExPqXBAkZrPZZrMpsU6n69WrV2jzQdBYrdaGhgatVhsX1+n1l+gibDab2WxWN3v37t3anNnoYdxu99WrV0XXGHSLxXL77bcLId59992BAwd2sDeewQAAAAAAAAAAAAAAAAgLfHsDAAAAQFiwWq2zZ89W4sWLF0+ePLmtDQAAAIAQcjucrf1IEkJ4rHnURbjdssvl7mgnQmrjmcn+t+/US6ZRelfm9A/41P6aTlyZFwAAoMejUAYAAADoaWbPnm21Wr00MBgM/fv3HzBgwK233nrzzTcbDIag5RZaLpdLCdzult+v99kAAAAACJV302Y3Xb7a4o9GzRmj+7Y4yPm0SP7XOixCiE8+OH3h1PYOdmi5Pe0f9lYrhK5372TnRWuNPy0n9kmM1lW1Ny8/+k9ukoWrzxWb5LbLBd8KR2PAutboNPduDlhvAAAA4YdCGQAAAKCncblcasFHi8xm8+nTp0+fPv3JJ58IIe66666HH35Yr9cHK0EAAAAAAAAAAEJDE+oEAAAAAITYJ5988pOf/KSuri7UiQAAAAAAAAAA0LmYUQYAAADoyXbt2qXV/p/V62VZdjqdV65c+Z//+Z8//OEPTqdTCFFfX798+fJXXnlFo6GYHgAAAAAAAADQY1EoAwAAAPRkkiRd/0hERERycvKMGTMmT568cOHCpqYmIcSlS5eOHTt22223hSLNYNDr9Xv27Al1FgAAAEDYqTNf/Ojg01O+syIpfkiocwEAAABYegkAAAAIY7169Vq6dKm6+be//S2EyQAAAADokWQh3G6XEHKoEwEAAACEoFAGAAAACHNZWVlqXFBQEMJMAAAAAAAAAADobCy9BAAAAIQ1g8GgxjabrU37ulyugoKCw4cPFxUVVVVVOZ3OzMzM3NzcZs1kWS4rK/v666+LiorOnz9/9epVnU7Xv3//wYMHjxo1asSIEZGRkQE4EwAAAAAAAAAAfKFQBgAAAAhrTU1NatyvX7/WmlVWVubk5CjxmjVrsrKySkpK1qxZU19f79nM4XB4blosls8+++y9995r1sxut5eUlJSUlHz88ceSJD322GNTpkyRJKm1o+fl5R04cKBN5zVp0qTHH3/c8xGr1Tp79mwlXrx48eTJk9vUIQAAAAAAAACgB6BQBgAAAAhrRUVFajxu3LjWmsmy7HK51M38/Pw1a9b47Hz58uXl5eXe28iynJeXd+TIkVWrVmk0LS8O63K5PI/ujxbbqw+63e429QYAAAAAAAAA6BkolAEAAADCl9lsfumll9TNO++805+9Tpw4sWvXLiFERkbGww8/nJGRER0dLctyVVXV4cOHr2+flpZ2zz33DBs2LD4+Pjo6Wgjhcrlqa2uPHTv2xhtvWK1WIcSXX365ffv2OXPmBObEAAAAAAAAAABoCYUyAAAAQNjxrFNRl1567LHHEhIS/Nn9gw8+EEJMnz593rx56npJkiQlJyffd999ni1HjRq1YsWK/v37N+tBp9MlJibefffdd9xxx6pVq06fPi2E2Llz57Rp0+Li4q4/4pIlS5YsWeI9K1mWc3Nzjx07pmzecsst/pwLAAAAAAAAACCsUCgDAAAA9GQzZsxQa1kU169JlJKSsnjx4qFDh/7/7N17XFR1/vjxz5nhMgxyE0TSEFNTUIHM1dY2bXVXSm2/GWZJFzXdks3IbTXbHrtr5WWzLctLZmJRmyEleckuaFubiW6/vGSGF0QzRUUFvHCb+8z5/XHaEws4DDAwMPN6/uHjfWbe5/N5n3MQZoY3n+P6sMnJybW7ZK5m2rRpzhMCAwOfeeaZKVOmmM1mIcTWrVvT0tJcL6O2rKwstUvmzjvvdHF1nBYymUxHjx51nmOz2YQQdrvdarW2QUkdlHIzLIfDwVnyHXXugMal9x3Kd0VZlrnovkO56LU3ZVn2VDHwiDpfA2gNXvzfqqmH5np+hz5p7fDHKC/pfVDtl/S8uvMpyidLXHSfUufjRKvVerX7p8PLqN/q28NFV7/nuOVVHI0yAAAAgDer86vo+m677baHHnpIr9c3adj09PRGu2RcpNfrU1NTc3JyRAsaZT755JMPP/xQiYcNG9Zog467lJSUTJ8+3XlO7969hRBms7mioqJNiurArFYrZ8k3ORwOLr0P4qL7rOrqak+XgLZWU1Pj6RK8hJPX9jabzb8tS2lDcmPvaOqo/4cBV2Oz20VrnjVZloUkZFmWxE//ulG7/TFqNpuVv4KAr7Hb7e32yxKthPdxvqyqqsrTJaCttYeLbjAYlMAtjTK0egEAAAA+bdu2bZMmTXr77bdd/0vf6Ojo7t27u7GGQYMGKcHly5dNJlNTd9+7d+/q1auVuG/fvnPnznVXEw8AAAAAAAAAwMuwogwAAADgzTZt2qTVaus86HA4ampqjh079u677x4/flwIsXHjxu+++27x4sU6na7RMYcPH+7eIsPCwtS4oqLClRpUJ06cmD9/vhJHR0cvXLiw/vECAAAAAAAAAKCgUQYAAADwZg2uraLRaEJCQm688cZBgwZt2LDhnXfeEUKcOHFi0aJFCxYsaHTM2NjYJtUgy/Lp06cPHjx46NChs2fPnj9/vs5a3LXXkK+srOzatauLI5eXl8+dO1eJ9Xr9kiVLmtRkAwAAAAAAAADwNTTKAAAAAL5LkqQJEybs27fv0KFDQogDBw4cOXIkISHB+V4RERGuT7Fnz57Vq1eXlpa6mG+xWFzMNBgMs2fPVvI1Gs2SJUtqr0zTNrp16/bWW285z1m6dKkQQqfThYeHt0lRHZLRaDSbzQEBAXq93tO1oI0oF12JNRpNaGioZ+tBm7FarTU1NZIktf03bXiKzWarrq5WN0NCQlj+zXdcuXJFCNGpUyc/Pz6IdgONRnO1p7z4DEsajbDbXc/XarXCtZvK+rXy9yJJkmTlTxfkhv+AoSXa4ZuLmpoaq9UaGBgYFBTk6VrQRgwGg/oWXqvVhoSEeLYetBmLxWIwGLjoPkW56OpmaGiok5cl8CYOh6OyslK0j4vu7++vBG55ZeW1r54BAAAAuEKSpPvuu+8vf/mLsrl58+ZGG2Vc/xQ+MzPz448/blF9V2G1Wp966qnLly8rmwsXLuzevXtrTOScTqdLTEx0nqOcLo1G48W/vWg55f2tJEmcJd9R5+MVLr3vUFcR46L7DlmWa29qtVquvq/horcBt/dhtB9NPTTX8zv0SWuH/6eU88kbH59S+z8R7+Z8is32U0MiF9132P+3adXPz8/jPRNoG7Xfwnv8oqvfc2iUAQAAAOAGPXv2VOOvv/5almW3vNnYvn272iWj0WjuuOOOYcOGdevWLTg42M/PT5IkdZaSkpL09HTXR5ZleeHChadOnVI2n3jiiYEDB7a8YAAAAAAAAACA16NRBgAAAPB1dW52YzQaW377G7vdvnr1aiUODQ1dsWKFkxs22ZuylLosyytXrty/f7+ymZaWNnLkyJaUCgAAAAAAAADwHayJBAAAAOB/WK3Wlg9SUlJSU1OjxI8//riTLhkhxIULF1wf+YMPPvjss8+UeNSoUZMmTWp2kQAAAAAAAAAAX0OjDAAAAODrDAZD7c3AwMCWj3nmzBk1jo+Pd568b98+F4fNz89fu3atEicmJj7++ONuuUsUAAAAAAAAAMBH0CgDAAAA+LqTJ0+qcXBwsE6na/mYZrNZjbVarfPMbdu2uTJmYWHhiy++qMTXXnvtM888o9HwjgYAAAAAAAAA0AR8rAwAAAD4NFmW161bp26OHDnSLcNGRUWpcXFxsZPMrKwsm83W6IDnz59/+umnlTg0NPTFF18MCAhoYZEAAAAAAAAAAF9DowwAAADg0zZt2nTo0CF1884773TLsHFxcWr86quvNtgKI8vy+++/n5eX1+hoVVVVf/rTn+x2uxDCz8/vlVdeCQ4OdkudAAAAAFpbeEj3yXe+Ex3Zz9OFAAAAAELQKAMAAAD4IFmWDQZDQUHB3Llz3377bfXxBx54oGvXrm6ZIiQk5Fe/+pUSnz59eubMmQcOHDCZTMojBoPhwIEDs2fPzs7OFkLcfffdToay2Wxz5syprq5WNv/xj3906dLFLUUCAAAAAAAAAHyNn6cLAAAAANCKUlNTJUmq/Ygsyw6Ho35mSkrKxIkT3Th1RkbGgQMHlAaXc+fO/e1vf2swbebMmcnJyR988MHVxqmqqjp37py6+eSTT7oy+/Dhw//0pz81sWQAAAAAAAAAgJejUQYAAADwZg32xNRxzTXXzJw5Mykpyb1T6/X6VatWLViwoKioqMEEnU735z//+cYbbzx//rzrwyo3YHJXGgAAAAAAAADAp9AoAwAAAPgcPz+/rl279uzZMz4+fvDgwd27d6+z6oy7hIWFvfjii8eOHdu+ffvBgwdPnz4thIiOju7fv/+wYcMGDRrk7+/fGvMCAAAAAAAAANAgGmUAAAAAb7N+/Xq3jxkTE7Nly5Zm7ChJUt++ffv27dvswSMiIpo3dR06nc75OI0mAAAAAB5075mrv86X5VbqfW8qKaSTMBiUeNyEhAULHmjhgA5ZNO3IJOFiuixczWyenwbXCyGE1KM1ZwIAAEAT0SgDAAAAAAAAAEB7J2mc9HW0iy6ZOiRJann7jrbVjqxNT1l7vD4AAAC+i0YZAAAAAG524cKF9PR0JZ4/f35iYqJn6wEAAAAAAAAAQEGjDAAAANBeWK3We+65x12jZWdn6/V6d43WJLIs2+12j0wNAAAAeNbJDTtObtjR7N2vGxSjNVY0aZdOs24UOocrmVaH5pV/RTerLldZ7bIaf/vN2VVL8ps9lD4iwHqzzR1F/WRyTaG/w50Ddmy6cCnxXk8XAQAA4Bk0ygAAAADtCP0lAAAAQId25eDJH9/7stm7XxM02H68qEm7BDwRY7dXu5Jps/ltOyI3ntcCdvnn8UtOV/y//JPNHuqauLDL17t0XC66//K3fnajGwfs2EKuoVEGAAD4LI2nCwAAAAAAAAAAAAAAAADaAivKAAAAAO2Fv7//li1bnCRs37795ZdfVuLHHnssJSWlTeoCAAAAAAAAAMBLsKIMAAAA0GFoNJoGYwAAAAAAAAAA4Ao+WwcAAAAAAAAAAK2ioursux89VHqxyNOFAAAAAD+hUQYAAAAAAAAAALQKWQiHwy6E7OlCAAAAgJ/4eboAAAAAAB2P3W4vKCjYtWvX4cOHS0tLbTZb//79Fy1a1HrTHTp0aP/+/YcPHy4uLrbZbJGRkYmJiTfccMOQIUMCAgJaaV4AAAAAAAAAgJehUQYAAADwKvn5+S+//LISZ2dn6/V6J8kFBQXz5s1T4szMzC5dutTPuXDhQnp6uhLPnz8/MTGxqKho/vz5lZWVtdOsVmszqr18+fJTTz1VVlambGZkZIwaNap2gizLW7duzcrKMpvNtR8vKSkpKSnZtm2bVqt95JFHbr/9dkmS6o+fl5eXmZmpxMuXL4+NjW20JLvdfv/99yvTxcfHP//88804LgAAAAAAAABA+8StlwAAAACvIsuy/b9cyVeTZbnhtdDrDLh37945c+bU6ZJpnpMnT86YMeP8+fPK7PPnz6/TJWMwGJ588slVq1bV6ZKpU/+qVasWLFjQ4PHeeuutavFbtmxxpapvv/3WYDAou0ycOLGpBwUAAAAAAAAAaM9YUQYAAACAq/bt27dp0yYhRJ8+faZOndqnT5+goCBZlktLS3ft2tWkoXbv3r1w4UIlDg4Ofumll7p37147wWw2z5o168KFC8pmly5dpkyZkpSUFBoaKkmS2WwuKipas2bNqVOnhBB79+5dsmTJ3Llz68yi1+tHjhz55ZdfCiG2bds2ffp0nU7nvLDs7GwlCAwMTE5ObtJBAQAAAAAAAADaOVaUAQAAAOCqjRs3yrI8fvz4JUuWJCUl6fV6SZI0Gk1MTMyECRNcH2fTpk1ql0y3bt0yMzPrdMkIIZYvX652yYwdOzYzM3PEiBHh4eEajUaSJJ1Ol5SUtGzZspSUFCVn586dBQUF9edKTU1V4507dzov7Pz58ydOnFB31Gq1rh8UAAAAAAAAAKD9o1EGAAAAQBMkJyc/9NBDkiQ1b3eHw7Fy5cq33npL2UxMTFy+fHlISEidtOPHj+fn5yvx0KFDZ8yY0WDPikajmTlzZs+ePZXNpUuX1r+BVFxcnNqFk5OTc7U7TCk++eQTNR49erSLBwUAAAAAAAAA6Ci49RIAAACAJkhPT292l4zFYlmwYMGBAweUzZSUlEcffVSjaaB9f926dWo8a9YsJzNKkpSRkTF79mwhRFlZ2ZkzZ2JjY+vkPPDAAy+88IKS8OOPP/bq1etq5X300UdKHB8fHxUV1egRFRcXZ2RkOM/R6/VCCKPRePny5UYH9FkOh0MIYbFYOEu+Q7noasyl9x1Kw6Isy1x031GnS7WysrLZryXQQVVVVfnURTcajS3Z3WazNfVkOewO4Y0rIdrtdvcO6Lxp3tfY7fYKt/4sVl7dmc1mi8XixmHRntV+SW+z2Xh15zuUb6e8j/MpdX6GXrlyxade3UEIUVFR4ekShMFgUILaP4CajUYZAAAAAK6Kjo6uf48kF1VVVT355JMlJSXK5pQpU652tyaj0bh3714lvvXWW+uvN1NHnz59goKClF9IfP311/UbZYYOHarVapXP2Tdu3DhnzpwGx/nmm2/Ud1mTJk1y5aBsNtvZs2ed5/Tu3VsIIcuy2z/o9z6cJV/GpfdBXHSf5ZbPNNGx+NpFb2E3hiyLpv7eSRauzkinCGprjZ/Fvvb/HbXx6s7X8Bbel/Hd3ge1h//v7q2BWy8BAAAAcNXw4cObt+PZs2cfeeQRtUvmL3/5y9W6ZIQQJ0+ebNKMkiQlJiYqcWFhYf0Ef3//u+66S4l37Nih/vFBHeoyNoGBgcnJyY3OCwAAAAAAAADocGiUAQAAAOCq+ou1uOLAgQOPPvpoTU2NECIwMHDp0qU33XSTk/wzZ86ocY8ePZpU2NGjRxtMGDt2rBpv3769fsLp06fVtWFSU1O1Wm9cvB4AAAAAAAAAfB63XgIAAADgqoiIiKbu8s9//rOoqEiJIyMjX3rppcjISOe7nD59Wo0ff/xxjUYj/rtKvCzLaiCEcDgcSqAuvFlVVSXLcv3bJEdFRSUmJhYUFAghcnJyxowZUyfnww8/VOOUlBQXjy40NHTixInOcw4dOiSE8PPz0+l0Lg7rg6xWq91u12q1/v7+nq4FbcRms9lsNiWWJCkwMNCz9aDNOBwOi8UihOC7ou9QL7oiICBA+eEOX2AymYTvXXQ/vxZ96t6McyVJkot3VKr/Ork9c3u1HevwW5skSe79WWyxWBwOBy/pfYryPk6JNRpNQECAZ+tBm7Hb7VarlfdxPkW56OpmYGAgP1V9hCzLZrNZtI+L7t57ftEoAwAAAMBVzfjQX+2SEULcf//9jXbJCCGMRqMaK79ccYtJkyYpjTIVFRVHjx6Nj4+vPctnn32mxAkJCa4UqYiKinrqqaec58yYMUMIERAQ0KlTp+bU7Ruqq6vtdrufnx9nyXfU1NTUbpTh0vsOi8VisVi46D7FarXWbpTR6/UtbCNAB6K8lgsKCvKpX5y38FfFWq3G3sRdNJom79Ih+FR/VdvTaDTu/VlcWVlpsVgCAgKCg4PdOCzas6qqqtqNMry68x0mk8lqtXLRfYrZbK7dKBMcHMyPaR/hcDiURpn2cNHVTh23VMJXMAAAAIBW9Nvf/la9jdHy5cv/85//NLpLK/3ybODAgSEhIUr8wQcf1H5q586dajxp0qTWmB0AAAAAAAAA0B7w1xsAAACA11JuS+SE+rdfrWfkyJETJkx44oknlL8nXrx4cUZGxujRo53s0rVrVzXOyclx198jSpKUlpaWmZkphNi9e3dlZWVoaKgQQpbldevWKTmBgYFJSUlumQ4AAAAAAAAA0A6xogwAAADgVdTlW4QLfTDl5eWtXI4QQnTv3v21115T1+NdsWLF5s2bneRfd911alxWVubGSkaNGqXGX3zxhRKcOHFCPQ+pqam1TyAAAAAAAAAAwMvQKAMAAAB4FWWVFEVVVZXz5IMHD7ZyOT+Jiop67bXXIiIilM2srKzs7OyrJffs2VON9+3b58Yy9Hr9yJEjlXj9+vUOh0MIsWHDBjUhJSXFjdMBAAAAAAAAANobGmUAAAAArxIVFaXGP/74o5NMi8Wyffv2Vi/ov8LDw1977bVrrrlG2Xz//fczMzMbvDlUWFhYQkKCEq9fv95ms7mxjNTUVCWoqak5dOhQTU3Nzp07lUcGDBgQGRnpxrkAAAAAAAAAAO0NjTIAAACAV4mOjpYkSYm3bNniJPP9999XllRpM8HBwcuWLYuLi1M2P/7442XLljXYKzN58mQlMBqNa9ascWMNcXFx3bp1U+L33nvvyy+/VJ+699573TgRAAAAAAAAAKAdolEGAAAA8CparfaWW25R4sLCwm+++abBtH//+9+5ubltWNdPdDrdkiVL4uPj1TIWL15st9vrpA0YMEA9iry8vKysrPo5dZSXl69du7ampqbRGh544AElKCgoePPNN9XCEhMTXT8QAAAAAAAAAEBHRKMMAAAA4G0efPBBNV60aFFOTs6VK1eUhVvMZvOxY8eeffbZpUuXarXaiRMntn15AQEBzz///KBBg5TNr7/++tlnn61/f6VZs2ap92navHnzgw8++Mknn5w/f95isSgPOhyOmpqaU6dObd269Y9//OO0adNyc3NdWSPnpptu0mq1Sqz236SmpqoPAgAAAHCX8JDuk+98Jzqyn6cLAQAAAH7i5+kCAAAAALhZTExMWlpaTk6OspmTk6PGtS1evNhisXhkXRmtVvvMM8+8+OKLu3btEkIcOHDgz3/+89///veAgAA1JzAwcNmyZQsWLCgoKBBCVFdXr1692i2z+/v733XXXR988EHtB1NSUtwyOAAAAAAAAACgPWNFGQAAAMALTZo0KT09/WrPRkVFrVy5sl8/T/5Np0ajmTt37m9/+1tls6io6E9/+pPRaKydo9PpFi5c+Ne//jUsLMz5aJIkpaSkrFixIiQkxJXZx44dW3tzwIABnTt3bkr5AAAAAAAAAIAOiRVlAAAAAC8kSdLYsWOHDx++Y8eOPXv2HD161GAwREVFDRgw4Ne//nVycnJ7uM2QJEkZGRnBwcEffvihEKK4uPjxxx9/+eWXaze7SJI0dOjQd955p7i4eM+ePceOHSsqKrpy5YoQIjo6OjY2tnfv3klJSX379vX393d96qioqPj4+MLCQmVz0qRJbj0yALp8UGgAACAASURBVAAAAAAAAEA7RaMMAAAA0GGMGDFixIgRrueHhISMGzdu3LhxV0tITEzcsmWL80FiYmIazWn2LpIkTZ8+ffr06Y2mxcXFxcXFNakMJ2RZLikpUWKdTjdw4EB3jQwAAAAf1+POm4PjujZ794iuOj9xe5N2CZC6SQGSK5kOf/Hs2NBm1eWqic9J5v/GyUO6TZ96c7OH8gvSyL1kt1Sl8Lf0lGR3Dtix+QV5ugIAAACPoVEGAAAAgM85evRoZWWlEk+YMKE9rK8DAAAA79D5hj6db+jj6Squ6neJrTu+Vvq5ZSc2Lnz4qN6tO1/T9PJ0AQAAAGgXNJ4uAAAAAADa2kcffaTGo0eP9mAlAAAAAAAAAIC2xIoyAAAAAHxLRUVFfn6+EicnJ3fu3FmJTSZTWlqaEmdkZIwaNcoz9QEAAPgYw8FCR3VNKw3ulxQpBTbh70UNNj+zvTkTXbYIu6M5O7ZcTVWAzebSrZdaqFNV4wfpcPx8byOpplQ+/30rF+VhsixK9hs9XUW7YDAYbDZbQECATqdrs0mv+c2N2kD/NpsOAAB4DRplAAAAgHYqLS3NZDI5SdDr9ddee+1111134403Dhw4UK/Xt1ltHdq6devUeOrUqbWfstt/+q2Iw+Gh33IAAAD4nguvvWU8dLSVBo/6eKLdXN2EYgzXHq+80oyJvi0Pvmg2NGPHlqs4FXvsrLUNJrr1RMXFC42cTJv15xfS2nN75K+XtnJRnqYN+Nf4Y54uwnelXdig7RLu6SoAAEDHQ6MMAAAA0E7Z7Xa1b6NBVVVVR44cOXLkyKeffiqEGDt27NSpU9vyr/c6HIPBkJeXl5eXp2wOGDCgd+/eni0JAAAAAAAAANCWaJQBAAAAvMSnn366c+fOlStXhoWFebqW9uWVV1758ssv6zyo0WjmzJnjkXoAAAAAAAAAAJ5CowwAAADQAWzatEmr1dZ+RJZlm8128eLF//znP++++67NZhNCVFZWzp07d9WqVRqNxkOVdgySJC1YsCAyMtLThQAAAAAAAAAA2hSNMgAAAEAHIElS/Uf8/f1jYmJSU1NHjRo1Y8YMo9EohDh37tzu3bt/+ctfeqLM9k6j0cTGxt58881jx46tv+6OTqfbsmWLRwoDAAAAvNLh01du/NOHn8+//ZaErp6uBQAAAPgJjTIAAABAhxceHj5r1qzFixcrm1999RWNMrU98cQTTzzxhKerAAAAAHyOLITV7pBlT9cBAAAA1MJ67AAAAIA3SExMVOOCggIPVgIAAAAAAAAAQLvFijIAAACAN9Dr9WpsNpubtK/dbi8oKNi1a9fhw4dLS0ttNlv//v0XLVrk7hqvSpblgwcP7tix4/vvv7948WJQUFC/fv2GDBkyfPjw2sflCrvdfujQof379x8+fLi4uNhms0VGRiYmJt5www1DhgwJCAhopUMAAAAAAAAAAHQINMoAAAAA3sBoNKpx9+7dr5Z24cKF9PR0JZ4/f35iYmJRUdH8+fMrKytrp1mtVjXOz89/+eWXlTg7O9t550pBQcG8efOUODMzs0uXLo0WcP78+Xnz5p0/f17NsVgsu3fv3r1792uvvTZ79uwRI0Y4mVEly/LWrVuzsrLq9AmVlJSUlJRs27ZNq9U+8sgjt99+uyRJDY5gMpnS0tKUOCMjY9SoUa7MCwAAAAAAAADoQGiUAQAAALzB4cOH1fimm266Wposy3a7Xd3cu3fv/PnznY9cZ5dGqcmyLDc62vHjx2fPnt1gppL80ksv1dTUjBkzxvmkBoNh3rx5RUVFzgtbtWrVnj17/vKXv2i1WufFOxwO5zMCAAAAAAAAADoiGmUAAACADq+qqmrZsmXq5ujRo13Za9++fZs2bRJC9OnTZ+rUqX369AkKCpJlubS0dNeuXa1Vay0HDx7Mzc2VZTk+Pn7y5Mm9evVSCigvL8/Nzd22bZuStmrVqmHDhoWHh19tHLPZPGvWrAsXLiibXbp0mTJlSlJSUmhoqCRJZrO5qKhozZo1p06dEkLs3bt3yZIlc+fObYMDBAAAAAAAAAC0NxpPFwAAAACgmex2e3l5+aeffvr73/++qqpKefDRRx+NiopyZfeNGzfKsjx+/PglS5YkJSXp9XpJkjQaTUxMzIQJE1qz8J/k5OTYbLbJkye/8MILAwcOVAuIjo6eOXPmww8/rGZu2LDByTjLly9Xu2TGjh2bmZk5YsSI8PBwjUYjSZJOp0tKSlq2bFlKSoqSs3PnzoKCgtY7LgAAAAAAAABAu8WKMgAAAEAHkJqaKklS7Ufq3w4pNjY2IyMjPj7e9WGTk5MfeuihOiO3pVGjRt19990NPnXHHXds3ry5rKxMCLFt27Zp06Y1WOfx48fz8/OVeOjQoTNmzGgwTaPRzJw5s6io6OTJk0KIpUuXvvHGGy0/8MuXL+fm5jrPMZlMQgir1WowGFo4nRez2WzKv5wl32G1WtVYlmUuve9Qfn5x0X1KnRsamkwmjYY/3vMtJpOp9rf9+lr1rpeyQxYN33WzYQ5HE+46+j8TXeV2om3A4Wijqbk/aQM8d90hhDAajQ5DgKer8F21P5dwOBy8uvMdylt4LrpPqfM5pNFo9ODHiWhL6kvc9nDRjUajErjlRSmNMgAAAEAH0Oir/9tuu+2hhx7S6/VNGjY9Pd2z73CmT59+tackSUpNTV29erUQwmQyXbp0KTIysn7aunXr1HjWrFlODkeSpIyMjNmzZwshysrKzpw5Exsb26Lqhbh8+XJmZqbznN69ewsaZVxjt9s5S76JngnfxEX3WUoLKXyK2Wx2ntCq7RcOuWmDN7sYDzbKtNnUHjzGdosz4llGo9Fu8Pd0FRCCngmfxPs4X6b2K8B3tIeL7t7vOfz1BgAAAOANtm3bNmnSpLffflv5sx5XREdHd+/evVWrcm7QoEEhISFOEhISEtT40qVL9ROMRuPevXuV+NZbb3U+mhCiT58+QUFBSvz11183rVwAAAAAAAAAQMfHijIAAABAB7Bp0yattu6S8Q6Ho6am5tixY+++++7x48eFEBs3bvzuu+8WL16s0+kaHXP48OGtUqvLhgwZ4jwhLCxMja9cuVI/QbmPksKVw5EkKTExcffu3UKIwsJCF+sEAAAAAAAAAHgNGmUAAACADqDBOwppNJqQkJAbb7xx0KBBGzZseOedd4QQJ06cWLRo0YIFCxods+U3HmqhmJgY5wkBAT/fbN5isdRPOHPmjBr36NHDlUljY2OVRpmjR4+6VKVTGo3G9dtdefw+vu2Zuow/Z8l31Ll3A5fepyhXn4vuU2r/l+fS+xT+v3sZLiTaG0mS+A7jWfyI91n8iPdB/H/3We3n/7t7a6BRBgAAAOjwJEmaMGHCvn37Dh06JIQ4cODAkSNHat+3qEERERFtUt1VBQYGtnCE06dPq/Hjjz+u0WjEf9+8ybKsBkIIh8OhBHa7XcmvqqqSZbmF76969uy5Y8cO5zkzZswQQuj1+sjIyJbM5d2qq6tNJlNgYGCj98+C16ipqVHvb63RaDp37uzZetBmLBZLZWWlJEl8V/QdVqu1oqJC3QwLC/Pz4zNJX1FeXi6ECA0N9ff3d5JW6ednbbUatFqtvSn5fn7OSnVCeS3qEVqtRogmHWUzaeotcon28EsjXxYREaGLDPd0Fb6rqqrKbDYrsZ+fX3g418JXmEym6upqrVbr8U+W0GbMZnNVVZW6GRER4cFXPmhLDofj0qVLon1cdHUNdbdUwlcwAAAA4A0kSbrvvvvUzc2bNze6ixf8jkr9LbsQwmQyGQwGg8FgNBqNRqPJZDKbzWaz2WKxWCwWm81mt9vVLhkAAAAAAAAAgG+iUQYAAADwEj179lTjr7/+us5tTbySF/T6AAAAAAAAAADaEh8rAwAAAF5Cr9fX3jQajXUeablGm2/aeMmWrl27qnFOTk5wcHBbzg4AAAAAAAAA6HBYUQYAAADwTlar1S3jaLVaNW60D6a8vNwtk7rouuuuU+OysrK2nBoAAAAAAAAA0BHRKAMAAAB4CYPBUHszMDDQLcOGhoaqcVVVlfPkgwcPumVSF9W+29S+ffvacmoAAAAAAAAAQEdEowwAAADgJU6ePKnGwcHBOp3OLcNGRUWp8Y8//ugk02KxbN++3S2TuigsLCwhIUGJ169fb7PZ2nJ2AAAAAAAAAECHQ6MMAAAA4A1kWV63bp26OXLkSHeNHB0dLUmSEm/ZssVJ5vvvv+9wONw1r4smT56sBEajcc2aNW08OwAAAAAAAACgY6FRBgAAAPAGmzZtOnTokLp55513umtkrVZ7yy23KHFhYeE333zTYNq///3v3Nxcd03qugEDBqjl5eXlZWVl2e1257uUl5evXbu2pqam9asDAAAAfNqA2HD7xoeG9+/q6UIAAACAn/l5ugAAAAAAzSTLstFo/OGHH9auXVtYWKg+/sADD3Tt6s5Poh988MH8/HwlXrRoUVpa2pgxY8LCwiRJMpvNxcXF2dnZ3377rVarTU1Nbft2mVmzZv3www/nzp0TQmzevPnzzz+///77Bw8e3Llz54CAACGEw+EwGo3l5eVHjhzZunXriRMnhBDjx49v4zoBAAAAAAAAAB5HowwAAADQAaSmpqr3P1LIstzgfY5SUlImTpzo3tljYmLS0tJycnKUzZycHDWubfHixRaLpe0bZQIDA5ctW7ZgwYKCggIhRHV19erVq9u4BgAAAAAAAABAh0CjDAAAANABNNgTU8c111wzc+bMpKSk1ihg0qRJYWFhr7/+eoPPRkVFPffcc7GxsUqrStvT6XQLFy7cs2fPihUrKioqnGRKkjR69Ojf/e53ISEhbVYeAAAAAAAAAKCdoFEGAAAA6Kj8/Py6du3as2fP+Pj4wYMHd+/evc6qM24kSdLYsWOHDx++Y8eOPXv2HD161GAwREVFDRgw4Ne//nVycrJWq22lqV2vcOjQoe+8805xcfGePXuOHTtWVFR05coVIUR0dHRsbGzv3r2TkpL69u3r7+/v2VIBAABQW1C/PpqAgFYa3M8RqQ0IbUIxfmFdggKbMdF1oQFRVs+0Yl+uDg3TNt5Y33Jxkl90dCfnOZpPJWH/KZaDIqUu8a1elkfJQnvNyGBPV9Eu2Gw2WZY1Gk1bvjfU+PNLLgAA0BySLMuergEAAAAAvNaMGTP27dv36KOPTps2zdO1tF/V1dUmkykwMJCVfnxHTU2N0WhUYo1G07lzZ8/WgzZjsVgqKyslSYqMjPR0LWgjVqu19npv4eHhfn78XtNXlJeXCyHCwsLoVPYdwcHBBoNBif/6178uWLDAs/WgzVRWVloslqCgoOBgOod8RVVVldlsVmI/P7/w8HDP1oM2YzKZqqurtVptRESEp2tBGzGbzVVVVepm586dNRqNB+tBm3E4HJcuXRLt46LX1NTceuutQoj169f36tWrhaPxFQwAAAAAAAAAAAAAAACfwF9vAAAAwOeYTKZjx44dPHjw6NGj586du3z5ssPhCA4O7tGjx3XXXXfdddclJCR07dq19W5jBAAAAAAAAAAAPIJGGQAAAPiQc+fOZWdn79ixo/5TFovl8uXLBw4cUDZDQkLuueee2267TafTtW2NAAAAAFBX6ep3Ln/8LxeTO//zTkdQTavWc1WSXQ3f3Veya3m+uwb+zWDtRe255u3bOyQ8ttNlIUSywRx74hu31HMgL/jI+4XN2DHqF/1S8ha7pQYAAAA0D40yAAAA8AlWq/WNN97Iy8tzMb+qqurNN9/Mysq65557Jk6cGBAQ0KrlAQAAAIATDpPZXlnlYrIsWR2yqVXrcYXZ5qgwWt01msUhahzm5u1rstssdrMQwm63C0u1W+qxmbTmi5XN2NFS4aEeJgAAAPwXjTIAAADwflVVVXPnzj179qz6yDXXXDN+/PiEhISoqCi9Xi9JkizLJpOprKzs4MGDn3766enTp4UQsiy///77gYGBd999t+fKBwAAAAAAAAAA7kGjDAAAALycwWB47LHHLl++rGxGREQ89dRT/fv3r5MmSZJer4+Li4uLixs3btzp06dff/31goKCNq8XAAAAAAAAAAC0Fo2nCwAAAABakSzLzz77rNol07dv38zMzPpdMvXFxsYuWrTob3/7W1BQUCvXCAAAAAAAAAAA2giNMgAAAPBmX3zxRWFhoRJHRUX9/e9/DwwMdH33IUOGvPXWWz169Gid6gAAAADAm5lKT+3/y23VJw96uhAAAADgZzTKAAAAwGtZrdbXX39d3Xz66acDAgKaOoherx86dKhb6wIAAAAA3yDLst0mZNnTdQAAAAA/8/N0AQAAAEBr+frrry0WixLHx8dff/31nq2nSex2+6FDh/bv33/48OHi4mKbzRYZGZmYmHjDDTcMGTKkGR0/ypgFBQW7du06fPhwaWmpzWbr37//okWLrpYvy/LBgwd37Njx/fffX7x4MSgoqF+/fkOGDBk+fLher3dx0tLS0n379n333XenTp0qLy/XaDRdunTp1avXwIEDBw0aFB0d7WLlbj8bAAAAAAAAAAAfRKMMAAAAvNbmzZvV+O6773b7+Pn5+S+//LISZ2dnO+8dKSgomDdvnhJnZmZ26dLlapmyLG/dujUrK8tsNtd+vKSkpKSkZNu2bVqt9pFHHrn99tslSbraIBcuXEhPT1fi+fPnJyYmFhUVzZ8/v7Kysnaa1Wq9Wv758+fnzZt3/vx5NdlisezevXv37t2vvfba7NmzR4wY4eR4hRBVVVWvvPLK3r176zx++vTp06dPf/XVV0KIhISE3//+9056mFp4NvLy8jIzM5V4+fLlsbGxzmsWQtjt9vvvv1+ZLj4+/vnnn290FwAAAAAAAABAR8GtlwAAAOCdzGbz8ePH1c0BAwa4fQpZlu3/5Uq+mixffeFxg8Hw5JNPrlq1qk5fSJ1xVq1atWDBAifz1qlt7969c+bMqdMl4yT/+PHjM2bMqN0lUyf5pZdeysvLu9poQoiKioqHH364fpdMHUeOHJk9e7bRaGzw2ZafjVtvvVU9ri1btjgvRvHtt98aDAZll4kTJ7qyCwAAAAAAAACgo2BFGQAAAHins2fPqnFkZGRwcLAHi3GR2WyeNWvWhQsXlM0uXbpMmTIlKSkpNDRUkiSz2VxUVLRmzZpTp04JIfbu3btkyZK5c+c2Ouy+ffs2bdokhOjTp8/UqVP79OkTFBQky3JpaemuXbvq5x88eDA3N1eW5fj4+MmTJ/fq1UvJLy8vz83N3bZtm5K2atWqYcOGhYeHNzjpc889ZzAYlHjYsGGpqandu3fX6/WSJDkcjurqamVRGXW0Vjober1+5MiRX375pRBi27Zt06dP1+l0zk9Xdna2EgQGBiYnJztPBgAAAAAAAAB0LKwoAwAAAO9UUlKixr179/ZgJa5bvny52hcyduzYzMzMESNGhIeHazQaSZJ0Ol1SUtKyZctSUlKUnJ07dxYUFDQ67MaNG2VZHj9+/JIlS5KSkpRuFY1GExMTM2HChPr5OTk5Nptt8uTJL7zwwsCBA9X86OjomTNnPvzww2rmhg0bGpzx7Nmz6nI+991339NPP92vX79OnTopB6LVasPCwgYOHDhz5sz333///vvvb9WzkZqaqsY7d+50fq7Onz9/4sQJdUetVus8HwAAAAAAAADQsbCiDAAAALxTWVmZGvfo0cODlbjo+PHj+fn5Sjx06NAZM2ZIklQ/TaPRzJw5s6io6OTJk0KIpUuXvvHGGw1m1pacnPzQQw81mqYaNWrU3Xff3eBTd9xxx+bNm5XTu23btmnTptUf9tixY2rcYC+OKigo6N57763/uBvPRlxcXPfu3ZUVhnJycn7zm984OQ+ffPKJGo8ePdpJ5Qqr1Vr7K61Byj2hHA6Hi7fo8k3K/ciUW4B5uha0kTo3oePS+w6HwyH4/+5jlItee5Or72u46G7h5P6tDWW3Wh2eI8tCuPqGpsGdf4rcU83/jNnU/bzzh6DyJcr/d59S+/uSt35ho0G8pPdBdV7SO7+zPLyJeunbw0V37/ccGmUAAADgnSoqKtQ4IiLCg5W4aN26dWo8a9YsJ80ckiRlZGTMnj1bCFFWVnbmzJnY2Fjng6enp7veJSOEmD59upPZU1NTV69eLYQwmUyXLl2KjIysk3Px4kUl0Ol0/v7+rs+rcu/ZeOCBB1544QUl4ccff+zVq1eDQ1kslo8++kiJ4+Pjo6KiGq3z9OnT99xzj/McZUEjk8l0+fLlRgf0cRaLxWKxeLoKeIDD4eA/iA/iovusyspKT5eAtlZVVeXpEryB2Wx2Pdkrf3NptVlFc95bCCGEzW777yA2d9XT7JNst9u9+Ieg2Wxu0tcqvIZ3f2GjQbyP82W1P3eFj2gPF91gMChBnc6t5qFRBgAAAN7JarWqsZ9fI697Kysrp0yZ4iRh0aJF/fv3d09lDTEajXv37lXiW2+9NSQkxHl+nz59goKCjEajEOLrr7923igTHR3dvXt314sZNGiQ8wISEhLUuMFGGXV3k8lUU1MTHBzs+uyiFc7G0KFDtVqt8kH2xo0b58yZ0+A433zzjfoua9KkSU2qGQAAAAAAAADQIWg8XQAAAADQKmovZGJz4a8G7U619sKSyp2DFMOHD280X5KkxMREJS4sLHSe7MqAtQ0ZMsR5QlhYmBpfuXKlfsL111+vxosXL1ab/V3k9rPh7+9/1113KfGOHTuuVo+6jE1gYGBycnJTSgYAAAAAAAAAdAw0ygAAAMA7hYaGqnGDzRztypkzZ9S4R48eruyirpty9OhRFzNdFBMT4zwhICBAjRu8UU7Pnj3VNWwOHDgwadKkf/zjHwUFBS52zLTG2Rg7dqwab9++vX7C6dOnz549q8SpqalardaVeQEAAAAAAAAAHQu3XgIAAIB36tKlixoXFxc7Tw4NDd2yZUudBzdv3pyVleX+yhpy+vRpNX788cc1Go0QQlnGRpZlNRBCOBwOJVBuJCSEqKqqkmVZkqSrDR4REdGkYgIDA5t8AP9LkqTnnnsuIyNDuR2SEGLnzp07d+4UQkRGRg4dOnTIkCEJCQlXuyVTa5yNqKioxMTEgoICIUROTs6YMWPq5Hz44YdqnJKS4uKRdu3a9cUXX3Ses3btWiFEYGBg7eYt1GEymSwWi7+/f1BQkKdrQRtRLroSS5LU6E3W4DVsNpvBYOCi+xS73V5TU6NuBgcH05DqOyorKwUX3U3MtZbMbJRGo3G0Xike4qdt/q8z1K9AP/d9KSrvU5pXjFe+NTAYDDabLSAgQKfTeboWtBGj0aje9lqr1Tb1tsvouKxWq9Fo1Gg0nTp18nQtaCPKRVc3Q0JCnHwUCW8iy3JVVZVoHxddfUXnlkpolAEAAIB36tatmxqfOHGiGSO05af5td9qmkwm9w7u5+eBl/3R0dFvvfVWVlbWZ599Vvvxixcv5uXl5eXlCSF+8YtfTJ06tf6aMa10NiZNmqQ0ylRUVBw9ejQ+Pr72LGqdCQkJkZGRLo4ZHBw8cuRI5znvvfeeEEKr1dZeiQd1KA0TGo2Gs+Q71I/UhRCSJHHpfRAX3XfU/v8uhPD39/fIixN4kJ+fn39TmjzQoCa9PZE0Xvi7K00LDkqSNHWClpOa2yjjra98lPduvPHxKWazWY299QsbDXI4HIKL7mPq3JXe39+/2Q2j6FiU/++ifVx09a2lWxpl+AoGAACAd1Jv/SOEKCsrc/GmP57ilb8u0uv1jz322HvvvffnP/95+PDh9Req2bt372OPPfb222/XebPdSmdj4MCB6uoFH3zwQe2nlNVuFJMmTWqN2QEAAAAAAAAA7YEXfhwPAAAACCF0Ol2vXr3UtWQOHz78i1/8ovWmq9PqUZ96b6AGde3aVY1zcnK8ab1ivV5/880333zzzbIsX7ly5cSJE/n5+V999ZV6QjZu3NijR49Ro0apu7TS2ZAkKS0tLTMzUwixe/fuyspKZcFzWZbXrVun5AQGBiYlJbllOgAAAAAAAABAO8SKMgAAAPBad955pxrn5ua6ffzai58774MRQpSXlzt59rrrrlPjsrKyFhbWPkmSFBERMXjw4D/+8Y+5ubnTpk1Tn8rMzFSX8RSteTZqt+N88cUXSnDixAn16qSmprblLbcAAAAAAAAAAG2MRhkAAAB4rV/96lfqTXyOHDlSVFTk3vGV9UgUVVVVzpMPHjzo5NmePXuq8b59+1pWVwfg5+c3fvz4lJQUZdNgMFy6dEl9tvXOhl6vHzlypBKvX79e6c7ZsGGDmqCWBAAAAAAAAADwSjTKAAAAwGsFBAQ88sgj6uY//vEPi8XixvGjoqLU+Mcff3SSabFYtm/f7iQhLCwsISFBidevX2+z2dxRYHt38803q3HtTqNWPRupqalKUFNTc+jQoZqamp07dyqPDBgwIDIy0o1zAQAAAAAAAADaGxplAAAA4M1uu+22Pn36KHFpaekzzzzjxl6Z6OhoSZKUeMuWLU4y33///dq3FmrQ5MmTlcBoNK5Zs8YtFbZztVeR6dSpU+2nWu9sxMXFdevWTYnfe++9L7/8Un3q3nvvdeNEAAAAAAAAAIB2iEYZAAAAeDNJkubPn6/eI+nQoUPp6enHjh1rdEez2ez8ZklCCK1We8sttyhxYWHhN99802Dav//979zc3EZnHDBggDpaXl5eVlaW3W53vkt5efnatWtramoaHbyNrV+/vqCgwHn9RqNx7dq1SqzT6WovzyNa+Ww88MADSlBQUPDmm2+qNSQmJja6LwAAAAAAAACgQ/PzdAEAAABA6+rUqdPKlSuffPLJ8+fPCyHKy8tnz57do0eP8ePH9+vXLyoqSqfTKQvDWK1Wg8FQXFy8Y8eOzz77TJblRgd/8MEH8/PzlXjRokVpaWljxowJCwuTJMlsNhcXF2dnZ3/77bdarTY1NbXRdplZs2b98MMP586diUrKGQAAIABJREFUE0Js3rz5888/v//++wcPHty5c+eAgAAhhMPhMBqN5eXlR44c2bp164kTJ4QQ48ePb9kZcr8ffvjh3XffDQgISElJuemmm2JjY0NCQvz9/YUQdru9srLywIEDb775ZkVFhZKfnp6urs2jar2zcdNNN2m1WqXzRu2/SU1N1Wq1bjsFAAAAAITQde154+IvPF0FAAAA8D9olAEAAID3CwsLe/XVV19//fXPP/9ceaS4uHj58uWu7BsREfHII4/079+/wWdjYmLS0tJycnKUzZycHDWubfHixRaLpdFGmcDAwGXLli1YsKCgoEAIUV1dvXr1aleKbJ8sFsvHH3/88ccfO0+77bbbRo4cWf/x1jsb/v7+d9111wcffFD7wZSUFLcMDgAAAAAAAABoz7j1EgAAAHxCQEDA448/vnLlymHDhrm4y4ABAxYtWvT222//6le/qr/eiWrSpEnp6elXezYqKmrlypX9+vVzcVKdTrdw4cK//vWvYWFhzjMlSUpJSVmxYkVISIiLg7c3ISEhTz755KOPPnq109t6Z2Ps2LG1NwcMGNC5c2cXywYAAAAAAAAAdFysKAMAAAAfEhsb+/TTTxuNxqKiou+//76oqOjcuXMXL150OBxBQUHdunXr2bPntddee/311/fu3Vuv17sypiRJY8eOHT58+I4dO/bs2XP06FGDwRAVFTVgwIBf//rXycnJTb2hjyRJQ4cOfeedd4qLi/fs2XPs2LGioqIrV64IIaKjo2NjY3v37p2UlNS3b1/lZkbt0Ny5c8vKyoqLi0+ePPnjjz+eO3eurKzMaDQ6HI6wsLAePXr0799/0KBBffv21Wga6d1vpbMRFRUVHx9fWFiobE6aNKnZBwsAAAAAAAAA6EBolAEAAIDPCQoKSk5OTk5OduOYISEh48aNGzdu3NUSEhMTt2zZ4vqAkiTFxcXFxcU1r56YmJgmTdek/JCQEOfJWq02JiYmJiZm6NChrtfgRAvPRn2yLJeUlCixTqcbOHCgu0YGAAAAWkOXaWmR96W6mKwJ9hf+TevXdxv5T2o4adA1Tz36K3cN7Kd1aLSDm7evRhIBGiGE8LdbNb1/55Z6Em+2939WbsaO2oB2+gcPAAAAvoNGGQAAAAA+5+jRo5WVlUo8YcKEpq76AwAAALQxbUgnbUgnT1fRNMEB2q4hgZ6u4n+571ciuiC3DQUAAIA2RqMMAAAAfEJpaen+/fsPHz78ww8/lJaWKvcAio2N7dmzZ//+/fv16xcWFubpGhthMpnS0tKUOCMjY9SoUZ6tp0P76KOP1Hj06NEerAQAAAAAAAAA0JZolAEAAICXO3HixKuvvnr8+PE6j5eVlZWVlX377bcbN24UQvTo0eP//u//brnlFr1e74kyXWK325XA4XB4tpIOraKiIj8/X4mTk5M7d+7s2XoAAAB8nKPGUPb2e56uoo0EXROkk65c7VlNdBdt/8imjilrAqqDNJv2d7lY05w7AbVQN4vDUVKlbtptP79VKawszT3xbduX1K5cHyZJoslv3/pcLtUbK9xYxsEtBuMlsxsHrM9isdjtdj8/P3//lt5bKmpw3173/cYtVQEAADSIRhkAAAB4LVmW33vvvZycHFeSi4uLX3311ezs7H/+85+tXRg8a926dWo8depUzxUCAAAAIYRwGE0X12/xdBVtpOvI67WX9l/tWe2AZO211zR1THtgRI2/Le9w4rFSU8uqa44UrV/JzlM/F2P/uVnnZPXFz88Wtn1J7YokaYRsb+pe3cvOBp1356k7td5YVlDqxgFbVe8HR9MoAwAAWhWNMgAAAPBaH3/8ce0umcTExAkTJvTu3btTp04ajcbhcFRWVhYXF2/fvv2LL77wYJ1oMwaDIS8vLy8vT9kcMGBA7969PVsSAAAAAAAAAKAt0SgDAAAA73ThwoU1a9aom88+++yNN95YO0Gr1UZERERERCQnJ8+YMeOjjz7Kzs5u8zLRFl555ZUvv/yyzoMajWbOnDkeqQcAAAAAAAAA4Ck0ygAAAMA75ebmqvFjjz1Wp0umDp1ON3HixHHjxq1fv771S2smnU63ZYuvrEjf2iRJWrBgQWRkpKcLAQAAAAAAAAC0KY2nCwAAAADcT5blzz//XIk1Gs1vfuPS3c31ev3UqVNbsSx4mkajiYuLS0tLe+eddxITEz1dDgAAAODlLp88+8aoyee/P+rpQgAAAICfsaIMAAAAvFBlZaXD4VDihIQErVbr2XrgWU888cQTTzzh6SoAAAAA3yPLDpvd00UAAAAA/4NGGQAAAHgho9GoxqGhoR6spEnsdntBQcGuXbsOHz5cWlpqs9n69++/aNGiFg4ry/LBgwd37Njx/fffX7x4MSgoqF+/fkOGDBk+fLher3dxhOLi4u+///7w4cM//PDDpUuX/Pz8rr322uuvv37w4MFJSUkBAQHNq81ut+/fv3/Hjh1Hjhy5ePFiWFhY//79R48enZycLElSneRLly599dVXu3fvPnXqlNVqve6664YMGZKSkhIWFtakGQ8dOrR///7Dhw8XFxfbbLbIyMjExMQbbrhhyJAhzT4QAAAAAAAAAECHQKMMAAAAvJCf388vdE+ePNnyAfPz819++WUlzs7Odt5fUlBQMG/ePCXOzMzs0qVL/ZwLFy6kp6cr8fz58xMTE4uKiubPn19ZWVk7zWq1qrHJZEpLS1PijIyMUaNGuTLs+fPn582bd/78eTXHYrHs3r179+7dr7322uzZs0eMGOHkWGpqav71r3998MEHdQqzWCxFRUVFRUWffPKJJEmPPvpoSkpK/dYW57WdOHFi3rx5tUe+ePFifn5+fn5+XFzc3//+95CQEOVxu93+xhtvfPLJJ7UHLCwsLCwsXLt2bUZGxujRo51MrZBleevWrVlZWWazufbjJSUlJSUl27Zt02q1jzzyyO233+78QAAAAAAAAAAAHZfG0wUAAAAA7ld7iZFz586VlZW1cEBZlu3/5Uq+mizLsisD7t27d86cOXWaUZwMq95Yyvmwx48fnzFjRu0umTrJL730Ul5enpMZ586dm5WV5bwwWZZXrlz53HPPXa2qBmsrKCj44x//eLWRT506NWvWLIvFIoSw2WxPPfVUnS6Z2lasWPGvf/3LydRCCIPB8OSTT65atapOl0xtdrt91apVCxYscPEqAwAAAAAAAAA6HFaUAQAAgBfy9/ePj48vLCxUNhcsWPD8888HBwd7tqqr2bdv36ZNm4QQffr0mTp1ap8+fYKCgmRZLi0t3bVrV7OHPXjwYG5urizL8fHxkydP7tWrlzJseXl5bm7utm3blLRVq1YNGzYsPDzcyVBxcXG/+93vEhISIiMjg4KChBB2u/3y5cu7d+/+5z//aTKZhBDffvttdnb2gw8+6Ept33333YYNG4QQv/jFL+6///7Y2Fh/f3+r1XrixImlS5eWlJQIIcrLy998880//OEPS5YsKSoqCgwMnDZt2i9/+cuwsDBJkiorK7du3Zqdna0MuGLFimHDhnXq1KnB6cxm86xZsy5cuKBsdunSZcqUKUlJSaGhoZIkmc3moqKiNWvWnDp1Sgixd+/eJUuWzJ0715UDAQAAAAAAAAB0LKwoAwAAAO903333qfHJkycfeOCBtWvXnj179mpLvHjQxo0bZVkeP378kiVLkpKS9Hq9JEkajSYmJmbChAnNHjYnJ8dms02ePPmFF14YOHCgOmx0dPTMmTMffvhhNVPpWWnQ4MGDX3vttRUrVqSkpMTGxiqDSJLk5+fXpUuXcePGrV27NiEhQUnOzc29fPmyK7Xl5uY6HI709PR58+b17t07ICBAkqSAgID4+Pjly5dHR0craXl5eTk5Obt27erWrVtWVtaYMWMiIiI0Go0kSWFhYffee+/s2bPVMT/66KOrTbd8+XK1S2bs2LGZmZkjRowIDw9XhtLpdElJScuWLUtJSVFydu7cWVBQ4MqBAAAAAAAAAAA6FhplAAAA4J1uuOGGYcOGqZt2uz03N/cPf/hDamrqwoULP/zwwyNHjlRVVXmwwtqSk5MfeughSZLcO+yoUaPuvvvuBoe94447unTposTbtm27Wv/QtGnTrr32WidTBAYGPvPMM4GBgcrm1q1bXaxtzJgxY8eOrf94QEDAo48+qm7m5OQIIZ5//vmQkJD6ySNGjOjatasSf/rppw1OdPz48fz8fCUeOnTojBkztFpt/TSNRjNz5syePXsqm0uXLm2HPVUAAAAAAAAAgBbi1ksAAADwWnPnzs3MzMzLy6v9oN1u37179+7du5XNqKiolJSUUaNGqauYeER6errbu2SEENOnT7/aU5Ikpaamrl69WghhMpkuXboUGRnZvFn0en1qaqrS0bJ169a0tDRX9poyZcrVnho4cGDtzdTU1IiIiAYzJUkaN25cVlaWEKKioqKqqqp+P826devUeNasWU7OsyRJGRkZyio1ZWVlZ86ciY2NdX4UJSUl8+bNc55jNBqFECaTqaKiwnmmL7Pb7UIIq9XKWfIdykVXyLLMpfcdahsiF9131Ok9ra6ubo2XPWjPampqnF90R7vpX28DdpvN2bO1fj66zuGQhRAOu6OZNbWM8yOCLMvN+Jbn9qvpkD3z5dE8vC/oKGp/y7Lb7Vw13+FwOJR/uei+Q7noqsrKSl7S+5r28BenBoNBCep8QTYPjTIAAADwWlqt9g9/+MOYMWPeeuut/fv3N5hTXl6+bt26dev+P3v3HhdlmTd+/LpnBhgGYUQQz4c8kKLImoddT9W6pWX2rJnHfT1qsZu6GtprLZ/tZwe1fLbt8GxlamhLT7Wum5i5pquWFpk+FWBFICqoKSgiICAzA3Ng5v79ce/ezSIOIHMA5/N+ver1nXuuua7vPReD9zDfua6/jhw58rHHHouKivJzkkKIuLi4Hj16eL3b4cOHN7oKi0rdMkkI0ZpCGWUspVCmqqrKarXq9XrP7UeOHGkwGK53b2hoaJcuXdTNkn7xi1946Co+Pl6Nq6urG5xyXV1ddna2Et9xxx2enxAhxIABA8LDw5XSli+//LLJQhmr1frdd995btO/f38hhMvlcjgcnlvC5XJ55Y0u2h1ZlnmBBBsmPZjV85l68Gly0l3B9AvB5XHZQtl1Y4sayv/8LxBYiNEXgvxZ5d1Te8TVXRBi0oMZl/RBqC283r2bA1svAQAA4CbXt2/fNWvWvPfee48//vjo0aMb3XZHCJGdnT1//vz8/Hw/pyeEmDBhgi+6HTVqlOcGRqNRjaurq1szlntXzfk60YgRIzw36N69uxp369atmUNfexbnzp1T4+Y8z5IkJSYmKvHJkyebbA8AAAAAAAAAaF9YUQYAAABBwWg03n777bfffrssyyaTqaSk5Pjx4wcPHrx48aLaxuVy/f73v9+yZUuXLl38mVuTy5bcmK5du3puEBoaqsZ2u91DS1mWi4uL8/Lyjh8/fvHixdLSUpvN5t7AfRWQmpqaJp/AJhuo682EhYXpdJ7etoSFhanxtd8quHDhghr37t3b86CKXr16KTtznTp1qjntAQAAAAAAAADtCIUyAAAACC6SJEVFRUVFRQ0aNOjBBx8sLS198803v/nmG7XBH/7wh1dffdWfKUVHR/uiW/cKktbIyspKTU0tKytrZnvPNTeKJnPTaP65+GWTuzh5VlxcrMbLli1TulWWMZdlWQ2EEC6XSwnUTdZNJpMsy553XI6IiLjzzjs951BaWiqE0Gq17pVJaKC+vt7lcmk0Gs91UbiZOJ1O9eUmSVJISEhg84HfuFwuZZlufisGjwbL8oeEhHj+5xU3E+XKUKfTqVd3jXIG078CGo8//5Lmxl4dkhAiUC+sG80ZngT570mNRsN1QrugvI9TYi7pg4rybo5JDyrq+zgFl/TBQ3031xYm3bt7fvEnSAAAAAS1rl27rl69+p133vnggw+UI2fPni0pKXHf+sfX2nJlwObNm/fs2RPABDx/ptKkuro6NbZara1Op6EuXbq8/PLLntssWrRICBEWFhYVFeX1BG4aZrPZarWGhIRERkYGOhf4icViUV+hSgljYPOB39jt9pqaGiY9qDgcDvedGSMiItryxQ+8q6KiQggRERHh+YO0env9JX+lFHBajz//19so1jONRhKtvnK+YVotr2hPJEkScosfpdF6eTY1UmB+PG5MSEgI1wntgslkUpeb1Wq1zFrwsFqtZrNZo9Ew6cHDZrOZTCb1ZmRkZKAuPOBnLpersrJStI1JVy+VvZIJl7AAAACAmDdv3qefflpVVaXczM/P92ehTJuVkZGhVsloNJqpU6eOGTOme/fuyudbkiSpXyMoKSlZvHhx4DK9Lj6HAwAAAAAAAAC446/GAAAAgNBoNFOmTNm6daty84cffvDQWNmgxwN1M5F2zel0pqamKnFUVNT69es9bBHVZk+5S5cuarxt27aIiIgAJgMAAAAAAAAACDjWRAIAAACEEKJnz55q7L5fj8J9CfQmi0KUFebbu5KSEovFosTLli3zUCUjhLh8+bJfkmqxW265RY3Ly8sDmAkAAAAAAAAAoC2gUAYAAAAQQgiz2azGRqOxwb3umy6778jbqLy8PC8mFigXLlxQ40GDBnlufOzYMR+nc4P69u2rxm02SQAAAAAAAACA31AoAwAAAAghRFZWlhrHx8c3uDc2NlaNPW/MZLfbMzIyvJpaYNhsNjV2X1Cn0ZYHDhzwfUY3wmg0Dh48WIm3b99eX18f2HwAAAAAAAAAAIFFoQwAAABuQrW1tbt27XI4HM1sX1JSkpmZqd68dgGVuLg4SZKUePfu3R66ev/9910uV0uSbaPca4OKioo8tExLS2vLBSjz589Xgrq6ui1btgQ2GQAAAAAAAABAYFEoAwAAgJtTWlra3LlzP/jgg9raWs8tS0tLV65cqd4cM2ZMdHR0gzZarXb8+PFKfPLkya+//rrRrj799NP09PRWZN2G9OnTR43feOONRkthZFl+//339+3b58e8WmzIkCHq3O3bty8tLc3pdHp+SEVFxXvvvWexWHyfHQAAAAAAAADAryiUAQAAwE3Lbre/8847c+bMef75548cOXLx4kWr1arcJctybW3tyZMnX3311YULF9bU1CjHIyMjly9f3mhv8+bNU+N169Zt27aturpalmUhhM1mKywsXL169auvvqrVamfOnOnjM/OHyMjIcePGKXFxcfHSpUtzcnLUJ7C2tjYnJ2fFihVbt24VQsyYMSNgiTbD8uXLu3XrpsS7du2aN2/e3r17S0tL7Xa7ctDlclkslvPnz+/fv/+xxx5LTk5OT0+/OVYGAgAAAAIo+paeCw9v7Trs1kAnAgAAAPxIF+gEAAAAAJ/LzMx031npeqKjo19++WWDwdDovV27dp07d+62bduUm9u2bVNjdy+88ILdbr851pVJSUnJyckxm81CiEuXLj399NONNlu6dGlSUtKOHTv8m10LhIWFvfbaa88991xubq4Qwmw2p6amBjopAAAAAAAAAEAAsKIMAAAAbkIGgyEtLS05OblHjx7NaR8eHv7II4+89dZbnTt39tBszpw5ixcvvt69sbGxGzZsuPXWm+e7kgaDYdOmTfHx8ddroNfrV69ePXnyZH9mdWP0ev3zzz//1FNPGY1Gzy0lSZo0adL69esjIyP9kxsAAAAAAAAAwG9YUQYAAAA3p9jY2GnTpk2bNs1kMhUWFp46dercuXMXLly4fPmyw+HQ6/XdunXr2bPngAEDkpKSevfurdVqm+xTkqQpU6ZMmDDh8OHDWVlZp06dqq2tjY2NHTJkyJ133pmUlNScTtoXo9H40ksvFRYWZmRk5OXlFRcXCyHi4uISEhLGjBkzfPjwkJCQQOfYXJIkjR49+t133y0qKsrKyiosLCwoKKiurhZCxMXF9erVq3///sOGDYuPj29HJwUAAAAAAAAAaBFJluVA5wAAAAAAN61FixYdO3ZsyZIlycnJgc6l7TKbzVarNSwsjIV8gofFYqmrq1NijUbTqVOnwOYDv7Hb7TU1NZIkxcTEBDoX+InD4bh69ap6s2PHjjodX94LFhUVFUIIo9HouRDZVVtXuXOvv5IKMH1MWJjWdL17pZiOugEt/vXo0uhq9ZpPjneqqgvAX/s722VRblFvzvzP0TbbP/+J/9Vjv/3P3y31f0ptSt8OkiS5Wvqo3levhFuv+3NyAwoOWm1X7V7s8Fo2m83pdOp0utDQ0FZ21XFo397/MdYrWcGnTCaTzWZTYp1O17Fjx8DmA7+xWq1ms1mr1UZHRwc6F/iJzWYzmX78h6lTp04aDRvXBAWXy1VZWSnaxqRbLJY77rhDCLF9+/Z+/fq1sjfelAIAAAAAAAAAAkZjCI/9zxmBzqId0wjRQYgHfhLoPIQQQmgXSGrcr0PMvb2GBDCZdszb9QZ+2CK4pqbGbreHh4dHRET4fDAAAIDWodQLAAAAAAAAAAAAAAAAQYEVZQAAAAA0zWq1zp07V4lTUlImTpzYNvsEAAAArsdedNFl9+3uM36g7R0pdFLT7fyluk5bafnxgwbZbfenGoe12FIVgJxuaiEaSa9tZI8tY53Jnz8WlT/YhJCEEBG94sJiovw4MgAAgBdQKAMAAIDgMnfuXKvV6n4kLS2t+Xsqr1q1Kj8/3/3Iiy++OHDgQK/l14Y5nU4lcLlcbblPAAAAoFEXnv8f66kzgc6itWL2Puiqrw10Fj/6KGdI6hc/lh/ZnD9e2P9f+Q/Pf7MvEEndzBKjY7sayq89Pi3vC43Tf3Vge391sd5WL4QY/9bjA5Pv9du4AAAAXsHWSwAAAAguzmt8/vnnzXxsdXV1bm5ug4f7NFsAAAAAAAAAAOBFFMoAAAAg2O3YsUOWG1m5+loZGRk+zqV9q6mpeeBf/u///i/Q6QAAAAAAAAAA0BCFMgAAAAhSGo1GkiQhRE1NzdmzZ5tsL8vyjh07lDg0NNS3ybVb6kI7zaw9AgAAAAAAAADAn3SBTgAAAAAIDIPBMG7cuAMHDggh9u7du2zZMs/tz5w5U1NTI4TQaDRTpkzZtWuXP7JsM/R6/e7du9t+nwAAAADajqpzFz9IfnLqq6u6Drs10LkAAAAA/8SKMgAAAAheU6ZMUYKDBw/a7XbPjffu3asEkydP7tKli28zAwAAAICbgCy76p2BTgIAAAD4NxTKAAAAIHj17ds3OjpaibOzsz20tNlshw4dUuJ7773X55kBAAAAAAAAAAAfYOslAAAABC9JkmbMmLFlyxYhxI4dO8aOHXu9lmoZTXR0dJ8+fY4fP978UWRZLioq+v777/Pz88+cOVNZWanT6Xr27Dlw4MARI0YMGzYsNDS0lSfiFU6nMzc39+jRo/n5+WVlZfX19QkJCevWrQt0Xj5RVlZ27Nix77777vz58xUVFRqNpnPnzv369Rs6dOjw4cPj4uICnSAAAAAAAAAAwCcolAEAAEBQu/3225VCmdOnT1+5ciUmJqbRZunp6Uowc+ZMSZKa2bnFYvnkk0927NhRU1PjftxutxcUFBQUFOzdu1eSpCVLlkyaNMlzt1988cX//M//KPHWrVsNBoOHxrm5uc8884wSb968uXPnzg0aXL58efHixUq8du3axMTEgoKCtWvXNsjT4XCosdVqnTt3rhKnpKRMnDjRveWSJUsuXboky7J65MUXX9RoGlnAMj09XafTNadPX5y4EMJkMv3pT3+6dgGh4uLi4uLizz//XAgxePDg3/zmNwMHDvQwFgAAAAAAAACgPWLrJQAAAAQ1o9E4ZMgQJf7ss88abVNRUXH27FklnjBhQvM7X7lyZVpaWoPqkwZkWd6wYcOaNWtcLpfnZs5/ac7QamP34pXr9Zadnf344497ztO9z2tTvfa4+xDumt9no6k2yfOJX7169ZFHHvG8zZYQ4sSJEytWrKirq2vOiAAAAAAAAACAdoQVZQAAABDsZsyYoWyltHPnzgcffPDalV0OHTqkBImJiUajsaX99+nT5/777x88eHBMTEx4eLgQwul0VlVVZWZmvvPOO1arVQjxzTffbN26dd68ea09mZY7duzYhx9+KIQYMGDAQw89NGDAgPDwcFmWy8rKjh496v98fGrNmjW1tbVKPGbMmOnTp/fo0cNgMEiS5HK5zGazsqjMgQMHApsnAAAAAAAAAMBHKJQBAABAsEtKStJqtU6n02w2FxYWxsfHu9/rcrmUOhIhxIMPPtiinkeMGPHkk0/27NmzwXGdTte5c+f77rvvrrvueuaZZ06cOCGESE9Pnzp1anR0dCtO5Ubs3LlTCDFt2rSHH35YLRKSJKlr167NP9/U1FQhRHV19fz585UjTzzxRItW3/GDixcvnj59Wol/9atfzZkzx/1erVZrNBqNRuPQoUOTk5N3794diBwBAAAAAAAAAL5FoQwAAACCnU6nmzJlykcffSSE2LNnz+9+9zv3e0+dOqWsQaLVapOSklrUc3JysucGYWFhzz777IIFC2w2mxBi//79c+fObVn23pCUlOReJXPDNBpNo3EbUVhYqMaea4DCw8Nnz57dnD5ramrUBYeuR5nc+vp6ZfUgNErZWsvpdPIsBY/6+no1lmWZqQ8e6tQz6cGjwf6Jdrvd/TcAgoHdbm/mNpq+5nm30/ajkT1GA+hmeVbbDZerbf0AOBwO5d905SeBNz5Bxf13u8vlYuqDh8PhELyPCzINLuBtNlvr/5CIdkHd3b4tTLr6O0fNqjUolAEAAADEPffcoxTKZGRkLFmyRK/Xq3epK4vcd999Wq3W60MbDIbp06dv27ZNBK5QZvHixQF/n+MHV65cUQK9Xh8SEuKVPisqKtatW+e5Tf/+/YUQdrvdbDZ7ZdCbWH19Pc9ScJJlmakPNkx6MFO3QUTwqKurC3QK/3RzlHS4XLJoS0XprrZRBRU82kjZmcpms7n/m+7MQhT6AAAgAElEQVRwOJRP0BFslO2MA50F/IpJD2YWiyXQKcDf2sKkq+8lvVIo05YuqAEAAIAA6dmzZ+fOnZU4KytLPV5bW3v06FElnjx5so9GHz58uBJUVVX5/7s4cXFxPXr08POgAREZGakEVqu1Lby1AwAAAAAAAAD4H4UyAAAAgJAkaebMmUqcnp6uHv/qq6+UIC4urmfPnj4a3Wg0qvHVq1d9NMr1TJgwwc8jBsrAgQPV+IUXXuDr7AAAAAAAAAAQhNh6CQAAABBCiHHjxm3cuFEIce7cufLycmWBme3btyv3zpw584Y3J5Jlubi4OC8v7/jx4xcvXiwtLbXZbO4N3FeAr6mp6dKlyw2eww3p1auXP4cLoL59+/bo0ePixYtCiJycnDlz5owfP/7ee+/t37+/wWAIdHYAAAAAAAAAAH+gUAYAAAAQQojIyMjbbrvtm2++EUIcOnRozpw5ly5dKikpUe4dN27cjXWblZWVmppaVlbWzPZ2u/3GBrph0dHRfh4xUCRJWrNmTUpKSl1dnXLkyJEjR44cEULExMSMHj161KhRgwcPjoiIaH6fffv2PXz4sOc2jz32mBAiPDw8JibmRnO/+VksFqvVGhYW1qFDh0DnAj+pra1VX4wajSZ4fhfBbrebTCZJkjp16hToXOAnDoejpqZGvWk0GnU6/iYZLK5cuSKEiIqKCgkJCXQuQghRo9PVBzqH1tNoJFfTrfxHFxIihL/fxQQzXUjb+hUaERGhvNMxmUx2uz08PJzvIQQPs9msfhFIp9O5L5eLm5uypbVWq+3YsWOgc4Gf2Gw2s9ms3oyOjtZo2LgmKLhcrqqqKtE2Jl2v1yuBVzJpW1dUAAAAQAA98MADSqHMrl27Zs2a9fHHHyvHR44ceWMf3m/evHnPnj3eTNEHguqTqri4uLfffjstLU2dXMWVK1f27du3b98+IcTIkSMfeuih3r17N6dDjUbT5F+BlbWIJEm64UWJggrPUtBi6oOHOtdMevBoMNf8mxiEmHRv48kMam1t+q99gfN6D1pMffDgkj4IcUkftNxf7wGfdO8mEER/EwcAAAA8Gzp0aGhoqN1ur62tzc7O/uijj5TjDzzwwA30lpGRoVbJaDSaqVOnjhkzpnv37hERETqdzv2tRUlJyeLFi71yCmiSwWB49NFHk5OTv/vuu6NHj2ZmZjbYCSs7Ozs7O3v69OkLFiwI+Ns/AAAAAAAAAIB3USgDAAAA/JNWq506derOnTuFEC+88EJ9fb0QIiwsLCEhoaVdOZ3O1NRUJY6Kilq/fr2HXUWcTmeLOpdlucnRW9Rhe+HFEzcYDGPHjh07dqwsy9XV1WfPnv3iiy8+//xztYedO3f27t174sSJrcoYAAAAAAAAANDGsHkYAAAA8KNJkyYpgVIlI4S4//77tVptS/spKSmxWCxKvGzZMg9VMkKIy5cvN9mhew5NloNUVFQ0I8f2wdcnLklSdHT0iBEjHnvssfT09OTkZPWuzZs3u1yulnYIAAAAAAAAAGjLKJQBAAAAftS9e/du3bq5H7n77rtvoJ8LFy6o8aBBgzw3PnbsWJMdRkVFqbHJZPLcOC8vr8kOfa3J1V+ayZ8nrtPppk2bphZL1dbWVlZWtqZDAAAAAAAAAEBbQ6EMAAAA8G9mzpypxj169GhQN9NMNptNjT0vSGOz2Q4cONBkh7GxsWr8ww8/eGhpt9szMjKaTtEHNJof31+oS/K0kv9PfOzYsWrcZGkOAAAAAAAAAKB90QU6AQAAAKBtueuuu+66665WduJe3lFUVDR48ODrtUxLS2tOTUlcXJwkScoyLbt37x4/fvz1Wr7//vuB2jBIr9ercXl5uVf69P+Ju68i06FDh9Z3CAAAAAAAAABoO1hRBgAAAPC+Pn36qPEbb7zRaCmMLMvvv//+vn37mtOhVqtVa0ROnjz59ddfN9rs008/TU9Pb3m+3qHT6SIiIpQ4KyvLK3168cS3b9+em5vrdDo9tKmrq3vvvfeUWK/Xuxc8AQAAAGip6Ft6Ljy8teuwWwOdCAAAAPAjCmUAAAAA74uMjBw3bpwSFxcXL126NCcnx2q1Kkdqa2tzcnJWrFixdetWIcSMGTOa0+e8efPUeN26ddu2bauurlaWWrHZbIWFhatXr3711Ve1Wq377lF+NnHiRCU4efLkRx99ZDKZlAxbw1snfubMmVWrVs2ePXvz5s05OTmVlZUOh0O5y+l0VlVVZWRkLFy4sKqqSjm4ePFiSZJamTwAAAAAAAAAoE1h6yUAAADAJ1JSUnJycsxmsxDi0qVLTz/9dKPNli5dmpSUtGPHjiY77Nq169y5c7dt26bc3LZtmxq7e+GFF+x2e6DWlZk2bdpHH32kxFu2bNmyZYsQQqPRqBUn6enpOl3L3oZ498TtdvuePXv27NnjudnkyZN//vOftyhPAAAAAAAAAEDbx4oyAAAAgE8YDIZNmzbFx8dfr4Fer1+9evXkyZOb3+ecOXMWL158vXtjY2M3bNhw662BXNW8c+fO//Vf/9VgIRaXy+X8lxvr1p8nHhkZ+cQTTyxZsoTlZAAAAAAAAADg5sOKMgAAAICvGI3Gl156qbCwMCMjIy8vr7i4WAgRFxeXkJAwZsyY4cOHh4SEtKhDSZKmTJkyYcKEw4cPZ2VlnTp1qra2NjY2dsiQIXfeeWdSUpJWq/XNqbTAuHHj/va3v3311VdZWVnnzp0rLS2tr69vZZ9eOfGVK1eWl5cXFRWdO3fuhx9+uHTpUnl5eV1dncvlMhqNvXv3TkhIGD58eHx8vEbDNwoAAABuQqFd4lx11kBn0VpaEaHRhAY6ix8Zw0P6dPrxg4Yct2pzgy6sS3hUAHK6qUWG6iNDGntWO8QJZ2vfeTVfVLzktDuFECHGCL8NCgAA4C2SLMuBzgEAAAAAblqLFi06duzYkiVLkpOTA51L22U2m61Wa1hYWGRkZKBzgZ9YLJa6ujol1mg0nTp1Cmw+8Bu73V5TUyNJUkxMTKBzgZ84HI6rV6+qNzt27NjSfRjRflVUVAghjEZjSwvE0X5FRETU1tYq8VNPPfXcc88FNh/4TU1Njd1uDw8Pj4igdCZYmEwmm82mxDqdrmPHjoHNB35jtVrNZrNWq42Ojg50LvATm81mMpnUm506deJrZkHC5XJVVlaKtjHpFovljjvuEEJs3769X79+reyNn2AAAAAAAAAAAAAAAAAEBb69AQAAgKBmtVrnzp2rxCkpKRMnTgxsPmgpZhAAAAAAAAAA0HwUygAAAKAtmjt3rtVqdT+SlpbW/AVdV61alZ+f737kxRdfHDhwYKONnU6nErhcrpZnisBjBgEAAG56WU+8efHj7EBn0UYlTezhqq5ucLDTT7qZZyQ9fsDf+9zZnbIaHzt/Ye03//DdWPFGY0xYwxNPulodW3rKd4Piegwul97l0mg0rhbuyyD1HC3dOtVHWQEAADSKQhkAAAC0RU6nU61+UHz++efTpk1rzmOrq6tzc3N9kxcAAACAADAXlVXl/hDoLNoox2Bd/aXSBgddt4Q5pNrT5WF+TsYl/1goY7U7LloaFrJ4UZfwEJ3UsP9621VRc8F3g+J6NEK0rEBGZY33biYAAABNusHrFgAAAMDPduzYIbv9ydWDjIwMH+cCAAAAAAAAAADaJQplAAAA0KZpNBpJkoQQNTU1Z8+ebbK9LMs7duxQ4tDQUN8mBwAAAAAAAAAA2hW2XgIAAECbZjAYxo0bd+DAASHE3r17ly1b5rn9mTNnampqhBAajWbKlCm7du3y3F6v1+/evdtb2cL/mEEAAAAAAAAAQPOxogwAAADauilTpijBwYMH7Xa758Z79+5VgsmTJ3fp0sW3mQEAAAAArq/q3MW3Js4v/f5UoBMBAAAAfkShDAAAANq6vn37RkdHK3F2draHljab7dChQ0p87733+jwzAAAAAIAHsuyqdwY6CQAAAODfsPUSAAAA2jpJkmbMmLFlyxYhxI4dO8aOHXu9lmoZTXR0dJ8+fY4fP+71ZFwu16lTp7777ruTJ0+eOXPGarVGRkYOGDDgJz/5yU9/+tPY2Njmd+V0OnNzc48ePZqfn19WVlZfX5+QkLBu3bprW5aXlx89evTEiRMnT560WCx6vT4+Pj4hIWHs2LHdu3e/sRORZTkvL+/w4cPff//9lStXwsPDb7311lGjRk2YMMFgMLToLI4fP/7tt9/m5+cXFRXV19fHxMQkJib+5Cc/GTVqVGhoaDP7KSsrO3bs2HfffXf+/PmKigqNRtO5c+d+/foNHTp0+PDhcXFxN3SW/0aW5aKiou+//z4/P//MmTOVlZU6na5nz54DBw4cMWLEsGHDmp8tAAAAAAAAAKCdolAGAAAA7cDtt9+uFMqcPn36ypUrMTExjTZLT09XgpkzZ0qS1JyerVbr3LlzlTglJWXixInXaynL8sGDB9966626ujr341euXLly5crXX3+dmpo6cuTIhQsXdu3atcFjL1++vHjxYiVeu3ZtYmJiQUHB2rVra2pq3Js5HI4GD7x69eqLL76Ym5vrftBut2dnZ2dnZ7/77rv9+vX7f//v/3muI7l29NLS0meeeaa0tNS9z8zMzMzMzI0bN65YseL222/30KH6hOzfvz8tLc1ms7kfLykpKSkpOXDggFarXbhw4T333ON5Lkwm05/+9Kdr1woqLi4uLi7+/PPPhRCDBw/+zW9+M3DgwGsf3pwZtFgsn3zyyY4dOxo84Xa7vaCgoKCgYO/evZIkLVmyZNKkSc38yQEAAAAAAAAAtEdsvQQAAIB2wGg0DhkyRIk/++yzRttUVFScPXtWiSdMmND8zp3/4nK5rtfGYrGsWLFi/fr1DapkGsjOzl64cOG1x2VZVkdRmj3++OMNijaulZub+9BDDzWokmng7Nmzv/nNb44ePeqhTYPRT58+vWjRIvcqmQaNX3755X379nnOrba29oknnti0aVODKhl3Tqdz06ZNzz33nDJuo65evfrII4943lFLCHHixIkVK1Zc78lvcgZXrlyZlpbm+QmXZXnDhg1r1qzx8GMAAAAAAAAAAGjvWFEGAAAA7cOMGTOUrZR27tz54IMPXrvsx6FDh5QgMTHRaDR6cei6urqUlJSKigrlpl6vnzVr1vjx42NiYnQ6nSzLJpOpqKjok08+ycjIaLK3Y8eOffjhh0KIAQMGPPTQQwMGDAgPD5dluayszL3e5dy5c6tWrVJvJiUlzZ8/v0+fPiEhIfX19RcvXty6devXX3+t3PvHP/7xueeeS0pKanL0vLy89PR0WZYHDRo0f/78fv36KaNXVFSkp6cfOHBAabZp06YxY8Z07Nix0U5sNtvy5csvX76s3OzcufOCBQuGDRsWFRUlSZLNZisoKNiyZcv58+eFENnZ2a+88srKlSsb7WrNmjW1tbVKPGbMmOnTp/fo0cNgMEiS5HK5zGazsqiMmlhr9OnT5/777x88eHBMTEx4eLgQwul0VlVVZWZmvvPOO1arVQjxzTffbN26dd68ea0fDgAAAAAAAADQBlEoAwAAgPYhKSlJq9U6nU6z2VxYWBgfH+9+r8vlUqpPhBAPPvigd4d+5ZVX1CqZpKSkJ5980mAwqPdKkmQ0GhMTExMTE3/961//9a9/9dzbzp07hRDTpk17+OGH1XIfSZK6du2qZu50OtesWaM+5OGHH37ggQfUmyEhIX379l21atXHH3/8xhtvKAfXrVv3l7/8JTQ01PPo27ZtE0LMnz/fvdhIkqS4uLilS5f27t1b2eJKCPHBBx/8+te/brST119/Xa2SmTJlyiOPPKLVatV79Xr9sGHDXnvttY0bN3788cdCiCNHjtx7772JiYkN+rl48eLp06eV+Fe/+tWcOXPc79VqtUaj0Wg0Dh06NDk5effu3Z5PzYMRI0Y8+eSTPXv2bHBcp9N17tz5vvvuu+uuu5555pkTJ04IIdLT06dOnRodHX3DwwEAAAAAAAAA2iwKZQAAANA+6HS6KVOmfPTRR0KIPXv2/O53v3O/99SpU8rCJFqttjkLqzRfXl5eZmamEg8YMGD16tXuRSENGI3G3/72t032mZSU5F4lc61PP/30ypUrSjx58mT3Khl3kyZNunz5cnp6uhDCarV+8MEHc+fObXL0iRMnzpgxo9G7pk6dumvXrvLyciHEgQMHkpOTr03y9OnTX3zxhRKPHj160aJFjZ6IRqNZunRpQUHBuXPnhBCvvvrqW2+91aBlYWGhGnsubwoPD589e3aTp3Y9ycnJnhuEhYU9++yzCxYsUHaS2r9/f3OeSSGEy+Wqr6/33EaWZeX/SoBG8SyBqQ8e6lwz6cGjwVzz2z4IMekBc7M/6/xY3TT4FXFzYB6DB2/hgxCX9EHL/S18wCfduwlQKAMAAIB245577lEKZTIyMpYsWaLX69W71OVG7rvvPg+FLDdg69atarxy5UqvdL548WIPVTJCiL/97W9q/PDDD3toOXv27A8//FCp1fjggw9mz56t0Wg8j369dWKEEJIkTZ8+PTU1VQhhtVorKytjYmIatHFfMmf58uUeTkSSpJSUlBUrVgghysvLL1y40KtXL/cGajGQXq8PCQnxnLavGQyG6dOnKyvuNL9Q5ty5c7NmzfLcpn///kKIuro69XxxPXa7nWcpOLlcLqY+2MiyzKQHratXrwY6BfhbTU1N6ztRCprRKJfTee1Bh8PuaKqk29dkl28/TWm0Zr3JQna0NVar1cJVQftXX1/P1V2w4X1cMKuqqgp0CvC3tjDpyhdlhRAul6v1vTXxN3QAAACg7ejZs2fnzp2VOCsrSz1eW1t79OhRJZ48ebIXRzSZTMePH1fi4cOHd+3atfV9xsXF9ejRw0ODiooKZU0XIcTEiRPdt3m6Vmho6H/8x38osd1uV5Zv8WD48OGRkZEeGgwePFiNKysrG9xbV1eXnZ2txHfccYfnroQQAwYMCA8PV+Ivv/yywb3qw61Wq8Vi8dyVHwwfPlwJqqqqrFZrYJMBAAAAAAAAAPgChTIAAABoNyRJmjlzphIr+w0pvvrqKyWIi4vr2bOnF0d0rzu5++67vdLnhAkTPDcoKipS4/HjxzfZ4c9+9jM1Pn36tOfGo0aN8tzAaDSqcXV1dYN73Z+QJk9ECCFJUmJiohKfPHmywb0DBw5U4xdeeEH9TkCguJ87X3YHAAAAAAAAgJsSWy8BAACgPRk3btzGjRuFEOfOnSsvL1cWmNm+fbty78yZMz1vadRS7jUrffv29UqfDbYfutbFixfVuHv37k126L7Ozfnz55vfuFGhoaFqbLfbG9x74cIFNe7du3eTuQkhevXqlZmZKYQ4depUg7v69u3bo0cP5XxzcnLmzJkzfvz4e++9t3///p7X0bkxsiwXFxfn5eUdP3784sWLpaWlDRbwd1+0s6ampkuXLl7PAQAAAAAAAAAQWBTKAAAAoD2JjIy87bbbvvnmGyHEoUOH5syZc+nSpZKSEuXecePGeXc4tWfx78uNtEZ0dLTnBpcuXVLjqKioJjuMiIhQY/cim0aFhYU12aEHxcXFarxs2TKNRiOEkGVZ+b8aCCFcLpcSOJ1Opb3JZJJl2b2SSZKkNWvWpKSk1NXVKUeOHDly5MgRIURMTMzo0aNHjRo1ePBg9xO8YVlZWampqWVlZc1sf22RUKNiY2NXrlzpuc0//vEPIURoaGiHDh2aOXoQstlsDodDp9Pp9fpA5wI/USZdiSVJ8sorHe2C0+msq6tj0oOKMunqTYPBoFxCIBiYzWYhRHh4uFarbWVXOh1/yr4uqbHXlE6r02oD/FqTNN78GsO1Gv1l0vofNvhZSEgI75XaKavVWl9fr8QajcYX33hB2+RwOGw2G5MeVOrr6923KY+IiPDulxXRZsmybLFYRNuYdDUBr2TCuwsAAAC0Mw888IBSKLNr165Zs2Z9/PHHyvGRI0d6/Y9r7tUSISEhXumzyT/xq58cN6ex+Pe/DjdYIsXr3D/lcn97fMPi4uLefvvttLQ0dR4VV65c2bdv3759+4QQI0eOfOihh5q5gE2jNm/evGfPntbm2pioqKhZs2Z5bnPo0CEhBCUgntXX1zscDq1Wy7MUPJxOp3uhDFMfPOx2u/KvCZMePBwOh/slRGhoKBUPwUMplAkNDW39tTTVDx40+lGBpNHc9EVpjVYCBfwjHLSUVqvVcVXQPjkcDvdCGa7ugorNZuN9XFCx2WzufwkMCwu76S8zoHC5XEqhTFuYdPULmRTKAAAAIBgNHTo0NDTUbrfX1tZmZ2d/9NFHyvEHHnjA62O570PkcDj88/7f/VME9erfA/cNg1q5YEyTfPGxlsFgePTRR5OTk7/77rujR49mZmY2KPfJzs7Ozs6ePn36ggULbuBdUEZGhlolo9Fopk6dOmbMmO7du0dEROh0OkmS1D5LSkoWL17c+jMCAAAAAAAAALRZFMoAAACgndFqtVOnTt25c6cQ4oUXXlC+vRQWFpaQkOD1sbp3767GNTU1kZGRXh/iWl26dFFjk8nU5M4USlG/wj1hX3DPbdu2bV7cNcNgMIwdO3bs2LGyLFdXV589e/aLL774/PPP1VKhnTt39u7de+LEiS3q1ul0pqamKnFUVNT69es9bH3VnLIkAAAAAAAAAEC7xppIAAAAaH8mTZqkBOoav/fff78vFmN33+7n/PnzXu+/UT179lTjkpKSJttfvnxZjfv06eOTnP7llltuUePy8nJfDCFJUnR09IgRIx577LH09PTk5GT1rs2bN7svn9McJSUlaiHRsmXLPFTJiH9/JgEAAAAAAAAANyUKZQAAAND+dO/evVu3bu5H7r77bl8M1LdvXzU+ePCgL4a4lnt1zpdfftlk+8zMTDXu37+/T3L6F/cn5NixYz4dSwih0+mmTZum1kXV1tZWVla2qIcLFy6o8aBBgzw39sMZAQAAAAAAAAACi0IZAAAAtEszZ85U4x49ejSom/GWyMhItboiOzvbPyuOdO7cOTY2Vok//vhjq9XqobHD4di9e7cSh4aG9uvXz6e5GY3GwYMHK/H27dvVFX18auzYsWpsMpla9FibzabGntccstlsBw4caGluAAAAAAAAAID2hUIZAAAAtEt33XXX7n/ZtGmT7waaN2+eGr/yyist3frnxsyePVsJZFn+61//6qHlhx9+qNaC/PKXv9RofH6FP3/+fCWoq6vbsmWLr4cTQrivItOhQ4cWPVYtORJCFBUVeWiZlpbmn7ofAAAAAAAAAEAAUSgDAAAAeJKYmDhy5EglPnny5PPPP+9hiReLxfLnP/+59YPedddd0dHRSrxr167rrXRy+PDhv/zlL0ocFhbmvsqO7wwZMmT8+PFKvG/fvrS0NKfT6fkhFRUV7733nsViaXB8+/btubm5nh9eV1f33nvvKbFer3cvfGmOPn36qPEbb7zRaCmMLMvvv//+vn37WtQzAAAAAAAAAKA9olAGAAAAaMLjjz+ulq1kZ2c//PDDH330UUVFhVLhIcuyxWI5derUhg0b5s6d+/e//731I2q12qefflq9uWHDhnXr1p0/f16p83A6nRcuXHjllVdefvlltc3vf/97vV7f+qGbY/ny5epeV7t27Zo3b97evXtLS0vtdrty0OVyWSyW8+fP79+//7HHHktOTk5PT792MZ4zZ86sWrVq9uzZmzdvzsnJqaysdDgcyl1Op7OqqiojI2PhwoVVVVXKwcWLF0uS1KJUIyMjx40bp8TFxcVLly7NyclRS51qa2tzcnJWrFixdetWIcSMGTNa/FwAAAAAuL7oW3ouPLy167BbA50IAAAA8CNdoBMAAAAA2jqDwfDGG2/8/ve/Ly4uFkJYLJYtW7b4etehAQMGrFmzZs2aNUp9yddff/31119fr/Hvfve7ESNG+DQfd2FhYa+99tpzzz2Xm5srhDCbzampqTfcm91u37Nnz549ezw3mzx58s9//vMb6D8lJSUnJ8dsNgshLl265F6B5G7p0qVJSUk7duy4gSEAAAAAAAAAAO0FK8oAAAAATYuMjFy/fn1ycrJO56nWPCkpaePGjd4adPjw4W+//fagQYM8tOndu/fmzZvvvPNObw3aTHq9/vnnn3/qqaeMRqPnlpIkTZo0af369ZGRkTc2VmRk5BNPPLFkyZKWLiejMBgMmzZtio+Pv14DvV6/evXqyZMn31h6AAAAAAAAAIB2hBVlAAAAgGbRaDTTpk27//77c3Jyvvvuu/z8/PPnz9vt9k6dOvXv3z8pKemnP/1pXFycdweNjo5+8cUXy8rKjhw5kp+ff+LECbPZbDAYbr311oSEhLFjx/bs2dO7IzafJEmjR49+9913i4qKsrKyCgsLCwoKqqurhRBxcXG9evXq37//sGHD4uPjQ0JCGu1h5cqV5eXlRUVF586d++GHHy5dulReXl5XV+dyuYxGY+/evRMSEoYPHx4fH6/RtKrE32g0vvTSS4WFhRkZGXl5ecrKQHFxcQkJCWPGjBk+fPj1MgQAAAAAAAAA3GQkWZYDnQMAAAAA3LQWLVp07NixJUuWJCcnBzqXtstsNlut1rCwsBteeQjtjsViqaurU2KNRtOpU6fA5gO/sdvtNTU1kiTFxMQEOhf4icPhuHr1qnqzY8eOnpfow82koqJCCGE0Gltfl1xz+qKt0uSNpG5CER201669qA0Vzm4dzl6N8HMyI/t3s9bVKnHKihW/e/ZJ340VqhV6bcODHex1ofUO3w2K67FYLA6HIywsLDw8vGWPDIsUhljfJAXfMplMNptNiXU6XceOHQObD/zGarWazWatVhsdHR3oXOAnNpvNZPrxSqxTp06t/FYb2guXy1VZWSnaxqRbLJY77rhDCLF9+/Z+/fq1sjfelAIAAAAAAAAA2rSoAT0CnUK7NMTg7xE1biU7xvDwvpF+L4sM8/eAUDi1NfV2e1lW6ugAACAASURBVEh4uIjwd3kWAABAS1HqBQAAAAAAAAAAAAAAgKDAijIAAABo36xWa2FhYV5e3qlTpy5dulRVVeVyuSIiInr37n3LLbfccsstgwcP7tKli3TtWuRoHqvVOnfuXCVOSUmZOHFiYPPxncLCwpUrVyrxxo0bu3XrFth8AAAAAL+pTP9IdjqjbwuXJNn9uNMQYYuLaklPPz4895LpvcwiIUScUR7brSZSWL2Tqy+E9RRhXP8DAAAECwplAAAA0F5dunRp69athw8fvvYuu91eVVWVk5Oj3IyMjJw1a9bkyZP1er1/c7xJOJ1OJXC5XIHNxNfUM5Vl2XNLAAAA4GZyect7ss0evaKb7LS5H3f2iq+Jjm5BR9KPbxkyi64Wf3ZaCHF7fIchUcUd7D94KVnvk6LvoFAGAAAgeFAoAwAAgPbH4XC89dZb+/bta2Z7k8n05z//OS0tbdasWTNnzgwNDfVpegAAAAAAAAAAoG2iUAYAAADtjMlkWrly5cWLF9Uj3bp1mzZt2uDBg2NjYw0GgyRJsixbrdby8vK8vLx//OMfxcXFQghZlt9///2wsLAZM2YELn0AAAAAAAAAABAwFMoAAACgPamtrX300UerqqqUm9HR0f/1X/+VkJDQoJkkSQaDoU+fPn369LnvvvuKi4vffPPN3Nxcv+cLAAAAAAAAAADaEE2gEwAAAACaS5bl1atXq1Uy8fHxmzdvvrZK5lq9evVat27d008/HR4e7uMcAQAAAABCCFFvqf521WTzubxAJwIAAAD8GwplAAAA0G4cOnTo5MmTShwbG/vf//3fYWFhzX/4qFGj3n777d69e/smOwAAAACAG1mWnfVClgOdBwAAAPBvKJQBAABA++BwON5880315pNPPhkaGtrSTgwGw+jRo72aFwAAAAAAAAAAaDd0gU4AAAAAaJYvv/zSbrcr8aBBgwYOHOiHQZ1OZ25u7tGjR/Pz88vKyurr6xMSEtatW9doy+PHj3/77bf5+flFRUX19fUxMTGJiYk/+clPRo0a1dKaHu/2JoSQZTkvL+/w4cPff//9lStXwsPDb7311lGjRk2YMMFgMLS0Nw+jFBUVff/99/n5+WfOnKmsrNTpdD179hw4cOCIESOGDRt2A5l7MX+n03ns2LGvvvoqJyenqqqqY8eOt95669ixY3/605/ecGIAAAAAAAAAgPaFQhkAAAC0D7t27VLjGTNmeL3/y5cvL168WInXrl2bmJhYUFCwdu3ampoa92YOh6PBA2VZ3r9/f1pams1mcz9eUlJSUlJy4MABrVa7cOHCe+65R5KkJtNofW/XnkhpaekzzzxTWlqqtrHb7ZmZmZmZmRs3blyxYsXtt9/eZGKeWSyWTz75ZMeOHQ2eLrvdXlBQUFBQsHfvXkmSlixZMmnSJM/Pg4/yP3Xq1Nq1a00mk3qkoqKioqLi6NGjYWFhTz755G233daycwYAAAAAAAAAtEMUygAAAKAdsNlsp0+fVm8OGTLE60PIsux0OtWb2dnZa9eubfJRtbW1zzzzTEFBgYc2Tqdz06ZNWVlZq1at0mq1vu6twYmcPn16xYoVsiw32pssyy+//LLFYrn33ns9DNqklStXFhcXe24jy/KGDRu+/PLLZ555RqO57iawvsj/4MGDr7/++vXutdlsq1evXrFiRffu3T2fAgAAAAAAAACgvaNQBgAAAO3AxYsX1TgmJiYiIsKnwx07duzDDz8UQgwYMOChhx4aMGBAeHi4LMtlZWVHjx5Vm9lstuXLl1++fFm52blz5wULFgwbNiwqKkqSJJvNVlBQsGXLlvPnzwshsrOzX3nllZUrV15vUO/2psjLy0tPT5dledCgQfPnz+/Xr59yIhUVFenp6QcOHFCabdq0acyYMR07drzxp0wIIUSfPn3uv//+wYMHx8TEhIeHCyGcTmdVVVVmZuY777xjtVqFEN98883WrVvnzZvXnA69kn9eXp57lcwvfvGLGTNmdO3aVaPRWK3W06dPb968+fz586+88sqDDz7YymcAAAAAAAAAANDGXfd7nAAAAEDbUVJSosb9+/f39XA7d+6UZXnatGmvvPLKsGHDDAaDJEkajaZr167utRSvv/66WtcyZcqUzZs333777R07dtRoNJIk6fX6YcOGvfbaa5MmTVLaHDlyJDc393qDerc3xbZt2+rr6+fPn//HP/5x6NCh6onExcUtXbr0kUceUVt+8MEHLX+efjRixIiNGzeuX79+0qRJvXr1UgaSJEmn03Xu3Pm+++577733Bg8erDROT0+vqqpqTretz9/pdK5bt069+dRTTy1fvrxHjx5arVaSpPDw8MTExNdee23ixIkeOgEAAAAAAAAA3DRYUQYAAADtQHl5uRr37t3bDyMmJSU9/PDDkiRdr8Hp06e/+OILJR49evSiRYsabazRaJYuXVpQUHDu3DkhxKuvvvrWW29d29K7vbmbOHHijBkzGr1r6tSpu3btUp7bAwcOJCcne+7Kg+TkZM8NwsLCnn322QULFthsNiHE/v37586d25yeW5n/wYMHLRaLmuTo0aOv7Uej0SxfvvzcuXNnz55tTkruysrK/vSnP3luoyRgs9lMJlNL+w8e9fX1yv95loKHMukKWZaZ+uDhcrmUgEkPHuqkK2pra2/4kgPtVG1trYedN9GmyEI0eH02eAnfGKfT6XLbX7UNstlsdv5hah3l6s5ut3vlZwbtgvslvdPp5OoueChbZrtcLiY9eDT43W42m7mkDxKyLCtBW5j02tpaJfDKxQaFMgAAAGgHrl69qsbR0dF+GHHx4sWeL/3/+te/qvHy5cs9NJYkKSUlZcWKFUKI8vLyCxcu9OrVy6e9ufv1r3/toavp06enpqYKIaxWa2VlZUxMjIeuWslgMEyfPn3btm2iJYUyrcz/b3/7mxKEh4fff//9HrpaunSp8qy2iNls/uSTTzy3UdZAcjqdSpEQPHA6nc62/QkKfESWZV4gwYZJD2Z2uz3QKcDfHA5HoFNA0/75KYh8neOt43K5XN7ox3fq6+v5h8kruKQPWlzdBSEmPZhxSR+E2sKke/d3DoUyAAAAaAfc/7au0zVxEVtTU7NgwQIPDdatW5eQkOChQVxcXI8ePTw0qKury87OVuI77rgjMjLSc0oDBgwIDw+vq6sTQnz55ZcNSlu825u74cOHe+5N3Q5JCOHrQhklH6VQpqqqymq16vX6Jtu3Jv8rV65cuXJFiadNm6bVaj10NWDAgKioqJqaGs8pAQAAAAAAAADaNVa8BAAAQDsQEhKixu5L+16P06MmvxM5YcIEzw2UnY+a2VgIIUlSYmKiEp88edKnvbkbNWqU566MRqMaV1dXNzl0K7kP575K0PW0Mn/3J3bkyJGeu5Ik6c4772wyJQAAAAAAAABAu8aKMgAAAGgHoqKi1NgP9RyeNzMSQly4cEGNe/fu3cw+MzMzhRCnTp3yaW/uunbt6rmf0NBQNW79+pmyLBcXF+fl5R0/fvzixYulpaUN1sN03z62pqamS5cunjtsZf4lJSVqHBcX57kr8a89klpEr9cPGTLEcxtlPSSNRtPkYkjBTKlgkyTJ88I/uJm4XC733wm8QIKHLMvKjgxMevBQJ12h1WoDvrc9/EapcWfS25NrJsorcye1+Z8ALtdbT7mk12g0Gg3f0A4W7pf0vJsLKurU85szeHBJH8yUS/q28Hr3bg6BPx8AAACgSZ07d1bjoqIiz42joqJ2797d4OCuXbvS0tKaOVx0dLTnBsXFxWq8bNky5e+AykI1siyrgRDC5XIpgfpm0mQyKQUBPurNXVhYWDNPufWysrJSU1PLysqa2b45dTmtzP/SpUtqbDAYmmwfGxvb0iG6d+/+zjvveG6zaNEiIYRer+/YsWNL+w8eZrPZarWGhoY2ufUYbhoWi0XZQk4IodFoeIEED7vdXlNTI0kSkx48HA6H+0pykZGRbeFvrPCPiooKIUSHDh3cV4hE23RJkuRG6mSEV4oedDqdVqcTra3M96Hw8PDwKP5hapWamhq73R4WFhYRERHoXOAnJpNJ/XqMVqvl6i54WK1Ws9nMpAcVm81mMpnUm0ajkbLIIOFyuSorK4UQUVFRAZ909T2Fdy5QW98FAAAA4Gvdu3dX47Nnz95ADy36YlOTH96oH+4KIaxW6w3k47veAmLz5s179uwJdBYNudfiNOftkz/rigAAAAAAAAAAAUGhDAAAANqBHj16qHF5eXltbW1zFgjxHS8v89jOv1SdkZGhVsloNJqpU6eOGTOme/fuEREROp1Okn5cZ72kpGTx4sV+S8x9YyaXy9VksVSDjaIAAAAAAAAAADef9v0XeQAAAAQJvV7fr18/dS2Z/Pz8kSNHBjCfLl26qPG2bdtaubK0d3vzM6fTmZqaqsRRUVHr16/3sHGV+2bGfuD+xNbW1hqNRs/tr1y54uOMAAAAAAAAAAABxuZhAAAAaB9++ctfqnF6enoAMxFC3HLLLWpcXl7epnrzs5KSEovFosTLli3zUCUjhLh8+bJfkvon94WIysrKmmx/Y7t6AQAAAAAAAADaEQplAAAA0D6MGzdO3aLoxIkTBQUFAUymb9++anzs2LE21ZufXbhwQY0HDRrkubGfz879if3mm2+abP/ZZ5/5MBsAAAAAAAAAQBtAoQwAAADah9DQ0IULF6o3X3zxRbvdHqhkjEbj4MGDlXj79u319fVtpzc/s9lsaqzVaj23PHDggO8z+lFsbKy6ws2HH37oeeOn06dPX7161S95AQAAAAAAAAAChkIZAAAAtBuTJ08eMGCAEpeVlT377LMBrJWZP3++EtTV1W3ZsqVN9eZPsbGxalxUVOShZVpamv9rgGbPnq0EtbW1+/fvv14zWZY3btzor6QAAAAAAAAAAAFDoQwAAADaDUmS1q5dGxUVpdw8fvz44sWLCwsLm3ygzWbLy8vzbjJDhgwZP368Eu/bty8tLc3zgiVCiIqKivfee89isfi6N3/q06ePGr/xxhuNlsLIsvz+++/v27fPj3n906RJkwwGgxKnpqZ+++2317ZRqmROnz7t39QAAACAm5yuQ/RtLxzqcEtioBMBAAAA/g2FMgAAAGhPOnTosGHDhq5duyo3KyoqVqxY8eijjx48eLC4uLiurk6WZeUuh8Nx9erV3NzcDRs2zJo168svv/R6MsuXL+/WrZsS79q1a968eXv37i0tLVXXuXG5XBaL5fz58/v373/ssceSk5PT09NdLpcfevObyMjIcePGKXFxcfHSpUtzcnKsVqtypLa2NicnZ8WKFVu3bhVCzJgxw8/p6XS6J598Ur357LPPbtq0qbS0VHne7Hb7iRMnVqxYoewJ9ctf/tLP6QEAAAAAAAAA/EwX6AQAAACAljEajW+88cabb7558OBB5UhRUdHrr7/enMdGR0cvXLgwISHBK5mEhYW99tprzz33XG5urhDCbDanpqa2kd78KSUlJScnx2w2CyEuXbr09NNPN9ps6dKlSUlJO3bs8G92Iikp6be//e2mTZuUm/v27Wt0bZuUlJS+ffv+/e9/9292AAAAAAAAAAC/YkUZAAAAtD+hoaHLli3bsGHDmDFjmvmQIUOGrFu37n//93/HjRsnSZK3MtHr9c8///xTTz1lNBo9t5QkadKkSevXr4+MjPRPb35jMBg2bdoUHx9/vQZ6vX716tWTJ0/2Z1bu7r333j/84Q8RERGN3qvT6VatWnX33Xf7OSsAAAAAAAAAgP+xogwAAADaq169ej355JN1dXUFBQXff/99QUHBpUuXrly54nK5wsPDu3fv3rdv3549ew4cOLB///4Gg8FHaUiSNHr06HfffbeoqCgrK6uwsLCgoKC6uloIERcX16tXr/79+w8bNiw+Pj4kJMTPvfmN0Wh86aWXCgsLMzIy8vLyiouLhRBxcXEJCQljxowZPnx4wLMdMmTIX/7yl6ysrK+++urbb7+trq7u2LHjwIEDx48f/7Of/Uyv1wc2PQAAACCwov9jsqh3Sn06CPFvu7tqozoadB1b0JH849cSErp0uPu2nkKIPrFSh3AhwlrSj5+FxgU6AwAAAPiPJMtyoHMAAAAAgJvWokWLjh07tmTJkuTk5EDn0naZzWar1RoWFtYWFkmCf1gslrq6OiXWaDSdOnUKbD7wG7vdXlNTI0lSTExMoHOBnzgcjqtXr6o3O3bsqNPx5b1gUVFRIYQwGo0BL5uG30RERNTW1irxU0899dxzzwU2H/hNTU2N3W4PDw+/3lqeuPmYTCabzabEOp2uY8c2XAwHr7JarWazWavVRkdHBzoX+InNZjOZTOrNTp06aTRsXBMUXC5XZWWlaBuTbrFY7rjjDiHE9u3b+/Xr18re+AkGAAAAAAAAAAAAAABAUODbGwAAAAhetbW1+fn5eXl5p06dunz5cnV1dUhISExMzMCBA/v16zd06NBbbrnFb5XyVqt17ty5SpySkjJx4kT/jOtnly9fXrx4sRKvXbs2MTGxlR0GyfMGAACCU32trd5c56/RZF2Ily99XVdNQoh6l5B8s6KMUyvZw0N90TO8wmarr7lqDXQWvuLUSrJGarpd0DDVORyOervk0OkbTrpGI2sDkpOQNa6GR0S908tjOF2i0S5DQ6UwX+0BDQAAWolCGQAAAASj4uLid955JzMzs8Hx+vr6CxcuXLhw4bPPPvv/7N15XBPH/z/w2SRAQCEgRz2BIiJikVJPrNYWr3pbtFXbetF6VErtpx6ttR8Vjx62fmo9P6LFaqXaIqLW+6pV+aiIB0UFESmgIqcI4Qghyf7+2O9vP/sJkHNzQF7PP3i8N5nMTGayuwk7O0MIcXBwmDRp0ujRo8VisRlqpVT+33/XVCr1f+a1GDRNs2+TL7bQbgAAAGCbMrcevrbo3+Ypq42/V5d2JhmUU2qKTAkhhBSPCNv7cieTZQ+GkKv++23/9O9ZRVkJFqyMSYlf802V1Vu6FlanW1vH8QNz1B7s6ekqFj4yf2VElLNHccH/PKSyp2/d4rcUldC77sylho/bhb9pP34Ov2UBAAAAX7D0EgAAAADYlvr6+g0bNkRFRTUcJdNQXV3d7t27p0yZcvToUZqmzVA9AAAAAAAAAAAAAAAwHcwoAwAAAAA2RCqVLlq0qKDgv7eUtW3bdvLkyQEBAR4eHg4ODoQQhUJRUVGRnZ196tSp1NRUQohSqdy2bZuvr2/37t0tVnUAAAAAAAAAAAAAADAaBsoAAAAAgK2ora396KOPysrKmE0nJ6cvvviie/fuFPU/68rb2dl5eHh4eHj069evvLx8x44dFy9etER9AQAAAAAAAAAAAACAZxgoAwAAAAA2gabp1atXs6Nk/Pz8vvzySycnJ82vcnNzW7Ro0ZAhQ9asWWP6OoIhxGLx4cOHLV0LAAAAAABQl3bvYFuPIC/3AEtXBAAAAADgfwgsXQEAAAAAAHO4cOFCeno6E7u4uHz99ddaR8mwQkNDt2/f3qpVK5PVDgAAAAAAoKWhaRUhtKVrAQAAAACgDjPKAAAAAEDLp1AoNm/ezG4uXrxYLBbrlYObm5ubmxvf9QIAAAAAAAAAAAAAALPCQBkAAAAAaPmuXr0qk8mY2NfXNzg42BSllJSUJCcnZ2RkZGZmVldXi8XigICAoKCg/v37t2/fvlkUp1Qqb968eeHChYyMjLKyMolEEhQUNHTo0JCQEIqi1BI/ffr0zz//TElJycvLq6+vf/7553v37j1s2DCJRKJvufX19SkpKcnJyffu3SsvL3d1dQ0JCenbt2/v3r2FQqFh76Uhmqbz8/P/+uuvu3fvPnjw4OnTpyKRqGPHjl26dOnZs2ePHj3s7e35KgsAAAAAAAAAAAAArBMGygAAAABAy3fo0CE2njx5csMxH0aqqKhYu3Ytu7QTQy6Xp6ampqam7t6928/P7/PPP/fy8rKe4oqKiubOncvEK1euDA4OzsnJWbZsWWVlJZumrKzs4sWLFy9e9PHx+fLLL52dnZnHlUrljh07jh49ys0wMzMzMzPz559/jo6OHjp0qO5vJz09ffXq1bW1tewjpaWlZ8+ePXv2bKtWrZYuXfrCCy9oeLlMJpsyZQoTR0dHh4eHN0xTXV19+vTp/fv3c98dIUQul2dlZWVlZR09epSiqHnz5g0bNoz3jwcAAAAAAAAAAAAAWA+BpSsAAAAAAGBacrk8MzOT3eR9Opn09PQZM2aoDVtRk5OT8/777ycnJ1tPcTRNK/8/JtuPP/5YbRwJKy8vb/78+XK5nBCiUCg+/fRTtVEyXBs3bjx9+rROb4aQlJSUpUuXckfJcFVXV3/++efHjh3TnAn7RlQqVaMJFi9eHBcX19S7Y9A0vXnz5piYmKYyAQAAAAAAAAAAAIAWADPKAAAAAEALV1BQwMZubm7stCi8yM3NXbp0KbsZEhIybdo0Hx8fOzs7hULx+PHj+Pj4q1evMs9+8803q1atCgkJsbbibt26lZiYSAjp1avXO++806lTJzs7u/r6+pycnPXr1zMNWFpa+uOPP37wwQfr1q3LyspycHCIjIzs16+fRCKhKKqysvLEiRPx8fFMhhs3bgwLC2vdurXmcq9fv37gwAFCSMeOHefMmRMQECAWi1UqVWFhYWJi4pkzZ5hk//73v9u1axcaGqp3e/0vHx+fMWPGdOvWzd3d3dHRkRCiVCrLy8tTUlJ27drFLM5148aN+Pj4qVOnGlkWAAAAAAAAAAAAAFgnzCgDAAAAAC3co0eP2Lhz58485qxUKmNiYtjNmTNnrlq1qkuXLvb29hRF2dnZ+fr6Ll269MMPP2TTrFmzhpmXxaqKS0hIUKlUc+fOXbZsWefOnZkM7e3tAwMDN2zYwC7hdPz48b179yYnJ7dv3z4uLm7EiBFubm4CgYCiKIlEMmnSpAULFrB5/v7771rLZUbJDBw4cOPGjSEhIY6OjhRFCYXCDh06fPTRR8uWLWNTfvXVV/X19To0UuN69uy5ZcuWjRs3Dhs2rFOnTk5OThRFURQlEok8PT1HjRr1888/d+vWjW2N8vJyg8sCAAAAAAAAAAAAAGuGGWUAAAAAoIUrKSlhY29vbx5zPnfuXFlZGRMPHz78jTfeaDTZsGHDioqKEhISCCEymSwxMXHKlCnWVtyIESNGjhzZ8HF7e/t58+atWLGC2dy7dy8h5Kuvvmp0Yp5XXnllz549RUVFhJBjx47pUm7Hjh0XLFggEDQygr9Xr16zZ8+OjY1l3sixY8fGjRunNcNGRUZGak7g4OCwfPny6dOn19XVEUJOnDihYx/V1NTcuHFDcxpmiI9SqTR4jJQtYFa8UqlUaCXbwaz7xqBpGl1vOxQKBROg020Hd38nhNTX12OhQ92ptZ5J0TRttrL4QuOzBJZDq5rfLmMWjTQLraKJ0Pw1aeSwZooDnaqJT4It/AbkntDxld6mMF/p0ek2hf0dx6ivr6coylKVAXNiT53W0OnsMYeXEzoGygAAAABAC1dRUcHG7u7uPOa8b98+Np45c6aGlJMmTUpKSmJ+UiYmJk6aNKnRoSEWLG769OlNPfXCCy9wNyMiItzc3BpNSVHUqFGj4uLiCCEVFRVSqVTrQldRUVEa6jZixIg9e/bU1NQQQn799dexY8ea7veYk5NTREQEMxJI94EyhYWFH3/8seY0zDxGdXV1lZWVxtezZauvrzdm6iBovmiaxg5ia9Dptqy6utrSVWhOmNUhzaOpa73WDIOuwILw8WtUoxeuFEoFsTN/XYiqsYEyvP+kbGpEo1wur7elbztKpRLf7myNSqVCp9ssqVRq6SqAuVlDpzP/JSY8DZTB0ksAAAAA0MJxr7uLRLyNFC8tLWXnqgkPD3dyctKQ2N7efuzYsUwsl8tzc3OtqrhevXppyNDe3v65555jNwcPHqwhq4CAADZ+9uyZ5nLFYnFQUJCGBEKhMCIigomrqqoKCws1Z2ik0NBQJigvLzfnRSkAAAAAAAAAAAAAMBsMlAEAAACAFs7O7r93rqlNE2qM/Px8Nh4wYIDW9P369WPj7OxsqyquZ8+emhO0b9+ejdu1a6chpUQiYWOtA2UGDBigdYaYl156iY1zcnI0JzYSt/LciYgAAAAAAAAAAAAAoMXA0ksAAAAA0MK5uLiwcXl5OV/ZPn78mI2540ia0rZtWzbOy8uzquK4E8Y0ip1vxsHBQfOsPA4ODmysdQ2dLl26aE6gVrdHjx5pTa8BTdMPHz68ffv2nTt3Hj9+XFhYWFdXx03AnTu9srJSa7MAAAAAAAAAAAAAQLODgTIAAAAA0MJ5enqyMXdeFiM9efKEjbljcZrSqlUrNuaOerGG4rijWxolEPzfVJRisVhr0brjdk1THB0d2ZjbCPq6du3atm3biouLdUwvl8t1SdaxY8fExETNaVatWkUIEYvFbm5uOpZug2pqaurq6uzt7bkfXWjZamtr2TXOBAIBd0onaNnq6+urqqooinJ1dbV0XcBMFAoFdz17FxcXoVBowfo0L9zvQqYmFDa/2cfxWQILEggFRKHSns7GUFQjRxIeF0HWi1CgXhmBQEDzXYpIJGr016NYLG7d0n8DVldXs7+dhUKhLv+sgJahrq6upqYGnW5T5HJ5dXU1uymRSAQNjrHQIqlUKmbibWvodHt7eybQOkm5LjBQBgAAAABauA4dOrDxgwcP+MqWO12KLv/14/6QUJvIxAqL0yVb47G/bTTgXvww+I3ExsYeOXLEsNdqZm9v7+PjozkN8xYEAgEu5GjA/L6lKAqtZDvU/qmBrrcdSqWSCdDptoM7ZxvBOVFPFv9ntLXj41/kAIbh5QqNjWjZbdXUm7OFXzfcnrWF9wss9vsJOt12qH0pFQqF+JpqI9hDvTV0OnvMwUAZAAAAAADtuAsVlZWVSaVSZ2dn47O1s7NjY/aanwbcS0RaZ3Cxd2lMLQAAIABJREFUeHHmocusLdw3osvAmobOnz/PjpIRCASjR48OCwtr3759q1atRCIRRVHsL6uCgoK5c+caUAQAAAAAAAAAAAAANBcYKAMAAAAALZxYLPb398/OzmY279y5069fP+Ozfe6559hYKpVqXS+GOz0pd+yOdRZnHqWlpVrT1NTUsHG7du30LUKpVG7bto2JXVxcNm7cqGH9I11GIAEAAAAAAAAAAABAs4Y5kQAAAACg5XvjjTfYeN++fTTNw6LkHTt2ZOOCggKt6YuKithY62I9Fi/OPNjRSxqUlJSwMbcRdFRQUMCOGfroo480jJIh/9toAAAAAAAAAAAAANAiYaAMAAAAALR8/fr1Y5cfysnJuXv3rvF5ent7s/Hly5e1pk9JSWHjzp07W3lx5nHx4kWtg5Zu3LjBxs8//7y+RTx69IiNAwMDNSe+fv26vvkDAAAAAAAAAAAAQPOCgTIAAAAA0PLZ2dnNmTOH3Vy7dm1dXZ1eOVRUVOTn53Mf8fT09PDwYOJTp07JZDINL6+vrz98+DAT29vb+/n56VW6+Yszj9ra2nv37mlIoFQqDxw4wMStWrUyYA0pbkcLhULNKU+ePKlv/gAAAAAAAAAAAADQvGCgDAAAAADYhMGDB7MTipSXly9dulTzWBOu9PT0WbNmSaVStccnTZrEBDRN//LLLxpySEpKYkdsjBs3TiAw5Hu4mYszj82bN6tUqqaePXPmTFVVFRO/+eabFEXpmz87uogQojbUSU1cXJxCodA3fwAAAAAAAAAAAABoXqz3P+YAAAAAADyiKGrFihUSiYTZzMrKeu+997KysjS/SiqVbtiwoalRNUOGDHFzc2PigwcPNjUfyYULF/bs2cPEDg4Ob775pmFvwczFmUdeXt7GjRsbHSuTlpa2efNmJnZwcBg9erQB+fv4+LDxpk2bGh0KQ9P0r7/+evz4cQPyBwAAAACAprwYGOHl3tXStQAAAAAAUIeBMgAAAABgK5ycnDZt2vTcc88xm1KpdOHChVFRURcvXiwsLKyvr2ceVyqVFRUVN2/e/Pbbb995550zZ840laFQKPznP//Jbm7evHnNmjV5eXnMaAylUvno0aN169Z99913bJrPPvtMLBYbVn8zF2cGY8aMIYScPXv2k08+uXPnjlwuJ4SoVKri4uLY2Fjum128eLG9vb0BRTg7O7/88stM/PDhw6ioqLS0NHbYU01NTVpa2oIFC+Lj4wkhEydONPIdAQAAAAAAAAAAAICVE1m6AgAAAAAA5iORSDZv3rx58+Y//viDeeThw4fffvut5lcJBIKZM2d269at4VP+/v4xMTExMTHMnChXr169evVqU/l88sknPXv2NKL65i7O1Pr169etW7e1a9fm5OQsWbKkqWTvvfde7969DS4lOjo6LS2NWcLpyZMn3PE3XFFRUSEhIfv37ze4IAAAAAAAAAAAAACwfphRBgAAAABsi729/T/+8Y8NGzaEhoZqTSwSid599919+/aNGzdOIGj8y3NoaOjOnTsDAwM15OPt7R0bG/vqq68aVmcLFmdqAwYMWLFiRVOzxTg6Oq5atWrcuHHGFOHk5LR169aAgICmEojF4hUrVgwfPtyYUgAAAAAAAAAAAACgWcCMMgAAAABgi3x9fWNiYqRSaUZGRnp6+r1794qKip49e2ZnZ+fu7t6lSxc/P7/g4GA/Pz+hUKg1Nzc3t7Vr1xYXF1+6dOnu3bsZGRlVVVVOTk5du3YNCgrq379/x44deay8mYsztZdeeik+Pv7q1avJycmZmZnPnj1zcXEJDQ3t27dvv379dGl/rSQSybfffnv//v3z58/fvn374cOHhBAvL6+goKCwsLDQ0FA7OzvjSwEAAADgndBeZOfiZJ6yRK0cBa0ofvOkaZoQQlE8Z8sSiuzEQnyRsy7czhbZCRydWmwH2YmErRxoS9fCijD7u9iOshOodzpFhBRlyFq6RqKIHRGolWtPRI58F2NHiRs7UIss8JYBAABARxTz3QUAAAAAAABMYc6cOdevX583b15kZKSl62K9qqqqZDKZg4ODs7OzpesCZlJdXV1bW8vEAoGgTZs2lq0PmI1cLq+srKQoyt3d3dJ1ATOpr6+vqKhgN11dXUUi3LxnK0pLSwkhEokE45JtR6tWrWpqapj4iy++WLVqlWXrA2ZTWVkpl8sdHR1btWpl6bqAmUil0rq6OiYWiUSurq6WrQ+YjUwmq6qqEgqFbm5ulq4LmEldXZ1UKmU327Rp09Tc29DCqFSqp0+fEuvo9Orq6kGDBhFCfvvtNz8/PyNzwycYAAAAAAAAAAAAAAAAAAAAAGwC7t4AWyeTyaZMmcLE0dHR4eHhlq0PNHT//v3Fixcz8ZYtW9q1a2fZ+nA1i89Ps6ik6djO27fmPYUvMpnsypUrly9fzsnJKSsrY2fF27lzp0lvWCkqKpo7dy4Tr1y5Mjg42HRlAWlZu63pdszi4uKbN2/evXv3wYMHxcXFKpVKIpF06tTJ19c3KCioa9euEomEr7IAAAAAAAAAAAAAAFoSmxsoM2XKFJlM1uhTQqHQ2dn5+eef9/Pz6927t7+/v1AoNHP1QDPN3deqVStvb28fH5+XXnqpW7dujo66LjWqVCqZQKVS8VNR4BvbR4atFnf16tWvv/6aiYcMGRIVFWVAJj/99NOhQ4eY+JNPPhk4cKBa3az582O1leTu1ImJiSaatM1q3z7vjNxTrFxKSsrXX3+tUCjMXzRN02zbNl9paWkrVqxg4nfffXfChAk6vjAxMXHPnj1M/M9//vOll14yRfXUtKTdlvcdMycnZ9OmTdnZ2WqPl5SUlJSU3Lhx48CBA4QQb2/vsWPHDhgwwMmpsYXSAQAAAADAytSk3Snds7+pZ+17dkofGJRRXmuKop2I8627vF0pkCv/+9vn6sX872LO8pUz77oPcm7dtYr7iE+dolPBbdOVSAta007dhT1eNl0RAAAAAKALmxsoo1Qqm7rWpVQqy8rKysrKUlNTf/vtN0dHxzlz5rz22msURZm5ktAUzd0nl8vLy8vT0tIOHz5MCImIiJg8ebJYLDZvHcEahYaGqlQq5grlqVOnZs2aZW9vr1cOSqXy8OHD7Mevd+/e/NfSJmnYqQG4cnJyVq9ebelaNHuGjdhoGeOEWgaapvft27d3715dEufn52/atCk+Pn7Xrl2mrhgAAAAAABhP8fRZVcrNpp5t3UFQWNPhTnmZKYruIFZe/pu3m5dUnJ+cJUVV6TcL+MqZdx6Bz1V7l/zPIwoRXWTKgTKtOqhkHrg9FwAAAMDibG6gjO5qa2vXr19/9uzZmJgYkaiFN1RlZeX06dOZeNGiRf3797dsfXhx4MCBs2fPbty40aTrcUCzYG9vP3To0FOnThFCaJq+detWnz599Mrh9u3b7DwWgwYNwgAsADPbsGEDEwiFws8+++zFF1+0t7c3eCRrizzr2RSb7cEjR45wR8kEBwdPmDChc+fOrVu3FggEKpWqsrIyPz///PnzZ89quWXTsm1osz0IAAAAAAAAAAAAANaghY//0CwpKYm7uBJN03V1dfn5+fHx8Tdv/t/g/fT09I0bN/7jH/+wUB3Np9kt2NGw++rr6wsLC48dO3bs2DHmwYqKiqVLl27YsAGraMGoUaOYgTKEkP379+s7UCYpKYmNx4wZw2fNAECbysrKnJwcJn7//ff79u1rfJ7N7qwHamywB4uKirZv385urlixQm0ZLKFQ6Obm5ubmFhISMmfOnN9//z0+Pl5DhpZtQxvsQQAAAAAAAAAAAACwEjY9UEbtTnSKosRicUBAQExMzJEjR2JjY5nH//jjj9GjR3fp0sUSdYQmNew+e3t7b2/vuXPnhoeHL1y4kHn84cOHly5dGjRoUFP5iMViZqkmaNl8fX3d3NzKy8sJIZmZmeXl5W5ubjq+ViqV3rhxg4lbt27NPRo0i89Ps6gkgAZPnjxh4xdffNGCNQHzwFGrUQkJCWz84Ycfqo2SUSMWi998881Ro0b99ttvpq8aAAAAAAAAAAAAAEBzwtvKoy3M6NGje/XqxW4eOHDAgpUBfQUEBEydOpXd3LdvnwUrA1aCoqiJEyeym3/++afur/3Pf/7DxhEREQav9gIAhiktLWVjFxcXC9YEwFJomj5z5gwTCwSCwYMH6/IqJyenGTNmmLBaAAAAAAAAGqXdO1hclmXpWgAAAAAAqMNAmSZxR1okJydjWvjmZejQoWz8+PFjuVxuwcqAlXjllVfYODExUcedmqZp7k384eHh/NcMADTiHsOxlB7YpsrKSpVKxcTdunXDjgAAAAAAAM0CTasIwf/VAQAAAMDq2PTSS5p5e3tzNysqKlxdXc1TtFKpvHPnzs2bN+/evZufn69QKNzd3YODg1988cXevXvb29sblmd6enpycvLdu3eLi4sVCkVQUNCaNWt4qXBJSUlycnJGRkZmZmZ1dTWzglVQUFD//v3bt2/PSxH6kkgkFEWxIyGePXvm5eXFS84qlerevXu3bt3KzMx88OCBTCZzdnb29/d/8cUX+/bt6+HhoUsmZm4xmqbz8/P/+uuvu3fvPnjw4OnTpyKRqGPHjl26dOnZs2ePHj0M+1AxOd++ffvChQt//fVXWVmZo6Nj165de/fuPXDgQCcnJx0zUSqV169fv3LlSlpaWnl5uaura9euXfv379+3b1+DK9YoiUQSHBycnp5OCKmoqPj777/9/Py0vurx48fFxcVMHBAQ0KZNG14qo+MuqVQqr127lpKScuvWrWfPnrm5uQUEBLz88st9+vTht3Ea4qVzeVRcXHz9+vVbt27l5eWVlpYKBAJPT08/P78XXnghNDSUlx3cpvYUM7QnlxWeJozH4z5iivO+xVnbMYSLxwY32ymstraWjS0+r5LpjpY64qsHzXwkBAAAAAAAAAAAAAArgYEyTRIKhU5OTjU1NcxmdXU1d6DMxYsX//WvfzFxfHy85ks+6enpy5YtY+LY2FhPT8+mUtI0feLEibi4uLq6Ou7jBQUFBQUFJ0+eFAqFs2fPfv311zUs/lJUVDR37lwmXrlyZXBwcFZW1sqVKysrK7nJ6uvrCSHz5s178uQJd2qNtWvXCgSNTDWUkJAgEql/YCoqKtauXcuMPGDJ5fLU1NTU1NTdu3f7+fl9/vnn5r/SQFFU69atpVIps6nWnlwymWzKlClMHB0drWG+EGbVgx07dnAvVhFCysrKysrKrl69um3btl69es2ePbtt27ZNZWLmFquurj59+vT+/fvVel8ul2dlZWVlZR09epSiqHnz5g0bNkzzikINP1eFhYXLli0rLCzkZpuSkpKSkrJly5YFCxZwZ3Bpyr1791auXMn2FCGktLS0tLQ0OTnZwcFhyZIlL730kn7vWaMJEyawjX/8+PGoqCitLzl16hQbv/nmm2rP6vL50WuX5EpPT//yyy+rq6vZR0pKSpgBBw4ODp9//nloaOj9+/cXL17MPLtly5Z27do1rIDWSpqoc/kilUq///771NRUtccfPnz48OFDZhWtbt26vf/++126dDGsCJvaU8zQnlwGH/RUKtWECROYWKlUso+//fbbal0QFxfn5uamY32MPOux+NpHeDnvWxzvH3sNRy0je5DfBjfnKYz7XnJzc43Jypg2NP5oaSU9aOYjIQAAAAAAAAAAAABYFSy9ZCCappX/ny7p2cQaVnupqalZtGjR1q1bNYzqUCqVW7duXbVqlYZy1eqWmpq6cOFCtesZahVjJ/NXezlXw9emp6fPmDFD7fKnmpycnPfffz85OVlDGlOgabqqqorddHBw0JCYfY/cdlBTXV29YMGCjRs3qo2SUZOamjp79uymnjV/iy1evDguLq6p3mfQNL158+aYmBgNb580+FxlZ2fPmTOHexFULfF33313/PhxzdU7c+bMokWLuJcYuerq6lasWMFcrOJLSEgIe9Xt1KlTDcemqFEqlUeOHGFiiqJCQ0MbTaP586PXLsn6/fffly5dyh0lw1VXV7d8+fLz588T3Q4vmitpis7lS0VFxaxZsxpey1STkZGxYMECzbunBrazp5inPVlGHvQaPQGpVCqtpycNjDnrsfjaR/g671ucKT72TR21jOlBfhvczKcwiUTCxk+ePCkpKTE4K2Pa0PijpTX0oJmPhAAAAAAAAAAAAABgbTCjTJOUSiU7nQwhpFWrViYtrq6ubv78+UVFRcymp6fn9OnTe/To4eLiQlFUXV1dVlbW9u3b8/LyCCGpqanr1q1jp5HQ4Pr160lJSYQQf3//GTNm+Pv7Ozo60jRdXFxs5FCM3NzcpUuXspshISHTpk3z8fGxs7NTKBSPHz+Oj4+/evUq8+w333yzatWqkJAQY0rUS2VlJXfQAPfykgFqa2ujo6NLS0uZTbFY/NZbbw0YMMDd3V0kEtE0LZVK8/PzT58+zQxcaJQFW8zHx2fMmDHdunVzd3d3dHQkhCiVyvLy8pSUlF27dslkMkLIjRs34uPjp06dqkuGt2/fTkhIoGk6MDBw2rRpfn5+zOeqtLQ0ISHh5MmTTLKtW7eGhYU1tWbZ7du3N2zYwG4OHjx44sSJbdu2FQgEMpksOzs7NjY2Ly9v3bp17KwSxhMKhaNHjz548CAhhKbpmzdv9unTR/M7VSgUTPz6668bv5aEjrvk9evXt2/fzm6OGDFi3Lhxzz33nEAgqKure/DgwY8//pidnf2vf/2Lx8Zh8NK5PIqJiWEPxWFhYRERER06dHBycqIoSqVSVVVVMbf+sxUzhi3sKeZsTys/TRiMr33EROd9i7O2YwiL3wY3/ynMzs4uMDAwMzOT2Vy1atVXX31l6m+nTeH9aKkLHnvQnEdCAAAAAAAAAAAAALBCGCjTpIcPH3I3jRxpodWGDRvYf/2PHDly1qxZQqGQfVYsFvfo0eOHH37YsmULsxDMpUuXRowYERwcrDnbAwcOEELGjx8/c+ZMdgp6iqLatm3LXLnZtm0bIeTZs2fTpk1jnl20aNHAgQM1Z6tUKmNiYtjNmTNnvvHGG+ymnZ2dr6/v0qVLT506tWnTJubBNWvW7Nmzx/hxBjo6ffo0GwcEBGieUUardevWsaNkQkJClixZwl1si6IoiUQSHBwcHBz83nvv/fLLLw1zsFSL9ezZc8mSJR07dlR7XCQSeXp6jho1asiQIcuWLcvIyCCEJCQkjB49WpcVTPbu3UsImTZt2oQJE7ifKy8vr6ioKG9vb3aQR2Ji4nvvvdcwB6VSuWbNGnbziy++4A5YcXR0DA4O/uGHHzZs2HDu3LnExET93rZGw4cPZwbKEEL279+veaAMM6iFMWLECONL17pLEkLq6+u/+eYb9iVqowfEYnH37t3XrVu3ffv2I0eO8Ns4hI/O5dHjx4+zs7OZ+O233548eTL3WaFQKJFIJBLJCy+8EBkZefjwYYMLspE9xWztSfg46AkEArYO586dW79+PRPHx8c7OzsbXDHDznpcfO0jJjrvW5ypjyEG9yCPDW6pU9jbb7/NLuWZm5v77rvvRkREhIeHt2/fXq+VuYzZC4w/Wlq8B815JAQAAAAAAAAAAAAA64Sll5oUHx/Pxn379tXrCoS+srOzL168yMR9+vSZM2cO91//LIFAEBUV5evry2yuX79ew0orrJCQEO4l+UYJBIJG46acO3eurKyMiYcPH869/Mk1bNiwN998k4llMhnvV/SbkpOTs3v3bnZz+vTpxuR2+/btlJQUJvb391+xYgV3lIwaiUTywQcfNHzcUi0WGRnZ8GoWl4ODw/Lly9mBRCdOnNAx5/Dw8IkTJzb6uRo9erSnpycTnzx5stFP6ZkzZ9hFhSIjIxsdrSIQCObPn+/n56djlXTUoUOHtm3bMnFmZuazZ8+aSimVSm/cuMHEbm5uPj4+vFRA6y558uRJ5nZ8QkhUVFSjc2xQFDVr1qzu3bvzUiU1RnYuj+7fv8/GmmdlcHR0nDRpEjOxgQFsZE8xW3sSvg963AZs9PyoL33PemqM30dMet63ODMcQ/TtQX4b3FKnsBdffDEsLIzdVCqVCQkJH3zwQURExOrVqw8dOpSRkdHUUlCN1rDRWDO+jpYW7EFzHgkBAAAAAAAAAAAAwDphRpnGnTx5kl0Pgmj7N7rxuHOQzJ8/X8MVdIqioqOjFyxYQAgpKSl59OhRp06dNGc+d+5c3kf57Nu3j41nzpypIeWkSZOSkpKYxWsSExMnTZpkwCVJHSkUiuLi4hMnTrDzhRBCXnvtNSPvv+cOmVq8eLFh12its8UYTk5OERERzBwAJ06cmDJlii6v0jANAEVRERERzC3jMpns6dOn7u7uamnYBnF0dBwzZoyGrKKiopgPPI/eeustdsmMP//8c9y4cY0m+89//sN9CV/7kdZdMiEhgQlat249ZMiQppJRFDVnzpyPPvqIl1pxGdm5PGJHWojFYjs7O9MVpIsWsKeYsz2t+aBnPOP3EZOe9y3Oeo4hLH4b3IKnsMWLF8fGxh4/fpz7oFKpTElJYQf1enh4DBs2LDw83MvLi8eidWfY0VIzHnvQFEfC3NzcyMhIzWmY7qipqWErAA0xA5vq6urkcrml6wJmwh3NplKpsIPYGpqm0ek2q6KiwtJVAHOrrKy0dBWaAZnGge8KhYJdH5x3CoWCEDNNBG5V6hs0qaK+3qQlKhXKmvpqZQs9AzLf7mpra9mbAMGmKBQKfLuzHcz+rlQq0ek2q7y83NJVAHOzhk6vqalhApVKZXxuGCjzP+Ry+aNHj/bu3csdJfPyyy8HBgaartDa2trU1FQmHjRokNYVJfz9/R0dHWtrawkhly9f1nzBzMvLq0OHDnxVlVFaWlpSUsLE4eHhGqZXIYTY29uPHTuWWW5GLpfn5ubydXd1REQE9zKJUqlsmGbixIlTp041phSpVHrnzh0mDg0NZWci0YuVtJgGoaGhzAWt8vJymUwmFou1ptf8Qe3WrRsbN7wOWlZWxn55Gj9+vOaxR/7+/i4uLvz+P6V///7sQJn9+/ePHTu24SU3mqbZASuEkFdeeYWXorXukqWlpeyZ5o033tDcOL6+vu7u7vx+EzWyc/nF1kQmk1VXV7dq1cp0Zemiue8pZmtP6z/oGcP4fcSk532Ls6pjCIPfBrfsKUwoFH7wwQcjRozYuXPnzZs3G01TWlr6yy+//PLLL7169fr4449dXFz4Kl13+h4tNeO3B01xJFSpVFp7mZ1LqVnMC2VxaCWbha63Qeh0m4Wut0HodGuH/jEfmtjAHtHi3yA0BV1vg9DpNgtdb4OsodP5rYO137RtUhEREW9wjB07duLEiR9//DF3lExAQMA//vEPk1YjNzeXjQcOHKg1PUVR7BQpmZmZmhPrkqG+8vPz2XjAgAFa0/fr14+Ns7Oz+aqGSqVScqg9O2DAgLi4uGnTphk5Cwi3d4YOHWpYJlbSYhpIJBI21uW+rt69e+ueYcO1jbit2qtXL81ZURT16quvaq2SXpycnNjVKyoqKrj1YT169Ki4uJiJQ0JCtF6W05HWXZJbmdDQUOMz1JeRncuvLl26sPHXX3/NDhS1lOa+p5itPa3/oGcM4/cRk573Lc6qjiEMfhvc4qcwQoivr29MTMzPP/+8cOHCPn36NDVYJzU1ddq0aXfv3uW9Alrpe7TUjN8etLYzCwAAAAAAAAAAAACYn03PKKN5Th6RSPT++++//vrrpl4D4tGjR2zs7e2ty0s6derETLB/7949rSmNqVujHj9+zMbt27fXmp47C0teXh7v9WnU5cuXX3vtNQ8PDyPz4V7u9fX1NSwTi7cYTdMPHz68ffv2nTt3Hj9+XFhYWFdXx03A3RcqKyufe+453WvYKHv7/07W2nDy/IKCAjbWZWGIzp07a02jr3Hjxl2+fJmJjx07FhUVpZbg1KlTbMzj4mtad0nup4W9+1wD3ufeMLJz+eXr69uhQwemTdLS0iZPnjxgwIARI0Z07txZ8yQlhmnxe4rZ2tPiBz2TMn4fMel53+Ks6hjC4LfBreEUxpBIJK+88sorr7xC07RUKi0oKLhz586ZM2e4O6BKpfrss8+2b9+u9XilF96Plprx24NmPrMAAAAAAAAAAAAAgBWy6YEyDbVq1crX19ff379Pnz6BgYF2dnZmKPThw4ds/NFHHzHjcpiJg2iaZgNCiEqlYpf9Y9JLpVKapjVMmuLm5sZ7hZ88ecLGusznz53TnnvxxkhJSUncW6iVSuXTp08vXbq0a9cuZrKZVatWzZkzZ9SoUcaUwr0exr09Wi+WbbFr165t27aNnRxFK10uWzo4OBhTJW6D6HJRyvgBTw0FBgay6zKcOnVq9uzZ3P1dqVQeOXKEiUUiEXtjuvG07pJFRUVsrEvj8L5qiZGdyy+KomJiYqKjo5meIoRcunTp0qVLhBB3d/c+ffr07t27W7duvCycYQt7itna00pOEyZi/D5i0vO+xVnVMYTBb4NbwylMDUVRLi4uLi4ugYGBEyZMKCws/Pe//33jxg02wVdffbV+/Xq+ijPF0VIzfnvQFEdCV1fXyMhIzWmYGSvt7OwwHEcDuVyuUChEIhF3RB20bEynMzFFUY6OjpatD5iNUqmsq6tDp9sUlUolk8nYTbFYbOrb0sB6MHP4odN1QWv8FiQQCkzXhgKhjfZOwyY19QeVEgjsBHb2LfR3QV1dnVKptLOzM8+FFbAG3K/0AoHAyMWXoRlRKBRyuRydblOY33HspqOjozX/mxp4RNM086/UltfpNj1QRm2khaWw/6YnhHD/a8ALkYj/Lq6vr9crf+6vC7Ubjo2htisKhUJPT8833nhjwIABUVFRTEtu27YtICCAO8e+vrhXdwz+fm/BFouNjWUHfFgPbqvq8uPTFJddBQLB+PHj9+7dSwihafrmzZt9+vRhn01PT2evsY0dO5bHA4XWD4A1NI5nrRW0AAAgAElEQVRV8fLy2rlzZ1xcHHeOH0JIWVnZ8ePHjx8/Tgjp1avXjBkzdJxmoFG2s6eYpz2t5DRhtUx63tdRwyUL+UpshfhtcOs/Srdt23bFihW7du1KTExkHsnJySkoKNBleietLHK05H2X4f1I2KZNm3nz5mlOk5aWRjBQRhuVSqVQKIRCIVrJdtA0zR0og663HXK5nPnWh063HfX19WoDZUzxDyuwTsxAGQcHB1w410qh8eeDgDLlQBlbHcYkbDhQxsTXCwQCgb29vV0LPQMqFAqlUikSiXCKtx1KpZI7UAZdbztkMplcLsfvOJtSV1enNlDGZr8/2BqVSsUOlLF4pzP3SRKevr7a9I9SKxn01Oz+NaA28YbW9Nzp981wucjT0zMmJubTTz9lNr/88ssdO3YYPNCBez9rfX29YWNjLdVi58+fZ69mCQSC0aNHh4WFtW/fvlWrViKRiKIodhcoKCiYO3euwQXpi9uqKpVKa++Y6ML5kCFDmIEyhJD9+/dzB8qwFxcJIUOHDjVF6U3hflp0aRzzLFxiWU5OTh9++GFkZOStW7eSk5NTUlLUPhKpqampqakRERHTp0834MBua3uKqduTWP1pwuIsdd7nlltdXa37C7mJm+O/tvltcCs5hWk1derUc+fOlZeXM5t37941fqCMpY6WpthlzHAkBAAAAAAAAAAAAACr1cyGaFgnduxSUzRfJnzuuefYeO/evbysIWJS3ApLpVKtFeZeYOPlbmatunXrNmTIkDNnzhBCysrKkpKSJk6caFhW3ApXVlY6OzsbkIlFWkypVG7bto2JXVxcNm7cqGHRHzPPFsBtkJqaGq1rWpWVlZmiGp6enn5+fjk5OYSQzMzMZ8+eubq6EkKkUilz2zchpF27dh06dDBF6U3hNk5tba3Wa9Imahwr5OTk1L9///79+9M0/ezZs5ycnIsXL/7555/sp/fAgQPe3t7h4eF6ZWuze4qJ2rNhza3zNGFZljrvcz9C3PWDtOKuQsgcJ5sXfhvcSk5hWgkEgpEjR8bHxzObf//9t5EZWvBoabpdxqRHQgAAAAAAAAAAAACwWpgTyUDcG4i1XgwoLS3V8Ozzzz/PxiUlJUZWzAw6duzIxtyLZ00pKipiYx8fH5PUqYGZM2ey8Z49e7iT9uuFO+V+Xl6eYZlYpMUKCgrYa88fffSRhqtZaiWaAXfoSXFxsdb0zFgWU+COoPrzzz+ZIDk5mX3wzTffNFHRTeE2ji4HhNzcXBPWxipRFOXm5tazZ8+PP/44ISEhMjKSfSo2NpY7N4kusKfw256MZnGasCBLnffbtGnDxtnZ2bq/8P79+41m0lzw2+DWcwrTirsnGvxFiGXBo6UZdhlTHAkBAAAAAAAAAAAAwGphoIyBXFxc2FgqlWpOfPv2bQ3P+vr6svH169eNqxcPtE6Qwx07cvnyZa0ZpqSksHHnzp0NrphenJ2dIyIimFilUh0+fNiwfLi9w0xRYwCLtNijR4/YODAwUHNiM3/wuK1648YNren/+OMPE9Wkd+/ebLx//36apmmaTkhIYB/s37+/iYpuCneUwK1bt7Smv3DhgimrY+1EItH48eOHDRvGbNbU1Dx9+lSvHLCncBnfnoxmcZpgaT3r8c5S531HR0d2zeCysrKqqipdXiWVStnle8RisRWuOqy1B/ltcOs5hWnF7WLNM9/osheY7mhp5h7Uiq8jIQAAAAAAAAAAAABYLQyUMZCHhwcba57NXi6Xnz9/XkMCiUTSrVs3Jv7tt98UCgUfFdSPQPDfT4LWCnh6erJv/9SpUzKZTEPi+vp6dpCKvb29n5+fcTXVw4QJE9h47969muvZFGdnZ/ZqUGpqqmF3SFukxerq6tiYOwFSoylPnjxpWCmG8fDwYO9ET0pK0jwnU3Z2dkVFhYlq4uDgMHjwYCauqKjIzc199OgRe7d6WFiY+S8Je3p6sit8JSUlab6L/eHDh81iGipT445n0jpyUQ32lIaMaU+G9Z8m9Drr8c5S532KokaOHMlu6jKGifzvJFsjR46kKIr/mulPrx7kt8Gt5xSm1bVr19g4ICBA7Vl99wJ+j5YW7EEdGX8kBAAAAAAAAAAAAACrhYEyBvLy8mKvFWmereTXX3/VOmH7tGnTmKC2tnb79u281FAvYrGYjXW57j5p0iQmoGn6l19+0ZAyKSmJvbIybtw47nURU3N2dh41ahQTq1Sqo0ePGpbP1KlT2XjdunWGTb9v/hbjjuXKz8/XkDIuLs7814nZBqmpqTlx4kRTyWia3rJli0lrMnr0aDY+duzYqVOn2M1x48aZtOhGURTFrvdUWVnJLgjVEE3TsbGx5qqXVePe69+6dWu9Xos9pSFj2pNl5acJfc96vLPUeZ8dGkgI2blzp1wu15y+rq7up59+avTllqVvD/Lb4BbZMWtqag4ePFhfX69j+oKCAu5cTQ3ngNG3Dfk9Wlq2B3XBy5EQAAAAAAAAAAAAAKwTBsoYSCgUDhgwgIkzMzOvXr3aaLJz585xl3FpSvfu3dncjh8/HhcXp/kGZUJIaWnpzz//XF1drU+tmyQSiVq1asXE3PuPmzJkyBD2duqDBw82dd/whQsX9uzZw8QODg7s5X+zYS9lEUL27NnDvRlad8HBwb169WLizMzM1atXa5gdobq6+scff2z4uPlbjLuCz6ZNmxq9ZEXT9K+//nr8+HGDSzHYsGHD2Mlatm3bdvPmzYZpmEuM2dnZJq2Jn58fuyDFqVOnjhw5wsSOjo5al5YwkZEjR9rb2zPx999/n5GR0TANTdO7d+9OS0szb9XM7bfffktPT9d8PKytrf3555+ZWCwWcy/l6sKm9hQztCfLyk8T+p71eGep836HDh3YwS5VVVXLly+vqalpKnFNTc0///lPNsFrr73WqVMnY0rnkb49yG+DW+oUFhcXN2XKlMTERA29xigsLFy8eDG7GRYWxu6PLH3bkN+jpQV70JxHQgAAAAAAAAAAAACwThgoYzjuRCNr1qzZu3fvs2fPaJomhNTV1d2/f3/FihXr168XCoW6XPmbP39+u3btmPjgwYNTp049evRoYWEhe7e3SqWqrq7Oy8s7ceLExx9/HBkZmZCQYNjsJo0KDw9ngszMzN9//10qlTLvpVFCofCf//wnu7l58+Y1a9bk5eUxV02USuWjR4/WrVv33XffsWk+++wz7t3D5uHq6jpkyBAmViqVGm771mzhwoXsFabU1NSZM2f+/vvvpaWlzFUWmqarq6vv3bu3efPmKVOmHDp0qGEO5m8xZ2fnl19+mYkfPnwYFRWVlpbGDvGpqalJS0tbsGBBfHw8IWTixIkGF2QYkUi0ZMkSdnP58uVbt24tLCxkPtJyuTwjI2PBggXMxXWTzuxCURS7ShdN0+yVszfeeMOcEyBx2dvbL1iwgN389NNP4+LiiouL2cbJysr6/PPPExMTiYWmvTGbBw8eLF26dNKkSbGxsWlpaU+fPmVnU1AqleXl5efPn589e3Z5eTnz4Ny5c/VdF8am9hQztCfL+k8Tep31TMFS5/05c+awZ7Q7d+7MmDEjKSmpsLCQ/TDU19cXFRUlJSXNmDEjMzOTeVAikcydO9fIovmlbw/y2OAWPIXJ5fJdu3ZNnjx59erVly5devz4MXu8omm6pqYmMzNz/fr1s2fPrqysZB53dnaeP39+o7np1Ya8Hy0t1YPmPBICAAAAAMCLgRFe7l0tXQsAAAAAAHUiS1egGWvbtu2UKVP27t3LbO7du5eNub7++mu5XK51XhkHB4cffvhh1apV6enphJCqqqpt27bxXmcNxo8f//vvvzPx9u3bmWntBQIBe20gISFBJPrvB8bf3z8mJiYmJoa5AnH16tWmptUhhHzyySc9e/Y0Ye2b9vbbb585c4aJf/755xEjRrBzdejOyclp06ZNn3322cOHDwkh1dXVbBPpzvwtFh0dnZaWVlVVRQh58uQJ96I1V1RUVEhIyP79+40sTl8hISEffPDB1q1bmc3jx483eg96dHS0r69vo8OP+PLqq6/GxcWpPWjZFUbCwsKmTZu2e/duZvPgwYMHDx5smCw6OtrHx4dtnJZ6JU8ulx85coSd7Kcpw4cPf+211wzI39b2FFO3J8vKTxP6nvV4Z6nzvlgs3rBhw6efflpQUEAIkclkO3fu3Llzp4aXtGvX7ptvvnF0dDRD9XSnbw/y2+AWP4WlpKRwV1Zqipub23fffcfOf6NG3zbk92hp2R4025EQAAAAAAAAAAAAAKwQZpQxyuTJkzXcYO3h4bF58+auXXUdMi8Wi1evXv3FF1+wC8E0haKoYcOGbdy40dnZWY/qauTp6fnpp5+qXWhXqVTK/6/hS0JDQ3fu3Kl5eRpvb+/Y2NhXX32Vr3rqy8PD45VXXmFiuVx++vRpw/JxdnbeuHFjZGSk5uumISEhW7ZsaepZM7eYk5PT1q1bAwICmkogFotXrFgxfPhw48syzIgRI7766it28QU1IpFo6dKlQ4cONXU1XF1du3fvzn3Ez8/P09PT1OVqNnHixOXLlzc1wYZQKPz888+HDh3KvVfepBf1rZmzs/OiRYvmzZtn2FAh7ClqjGxPLms+TRhw1uOdpc77Eolky5Yt8+bN0zpyVCQSzZkzZ+vWra6ursaXyy8DepDfBjfzjunk5BQXFxcZGdmhQwdd0js6Os6aNWvHjh0aTmf6tiG/R0uL96BmPB4JAQAAAAAAAAAAAMDa2OhVVb5QFDVy5MiBAwdeuHDh2rVr9+7dq6mp8fDw6N69+6uvvhoSEiIUCvXNsE+fPrt3787Pz7927dr9+/ezsrKePXtGCPHy8urUqVPnzp179OgREBBgZ2fH+9t5+eWX9+3bd+XKlWvXruXm5hYWFjJrZGjg5ua2du3a4uLiS5cu3b17NyMjo6qqysnJqWvXrkFBQf379+/YsSPv9dTX1KlTL1y4wMS7du0aNmyYYa0nEAjGjx8/ZsyYtLS0W7du3b17Ny8vTy6Xt2nTpnPnziEhIX379vXy8tKciZlbTCKRfPvtt/fv3z9//vzt27eZGXG8vLyCgoLCwsJCQ0NN8UHSS/fu3ffs2XPt2rUrV67cvHnz2bNnrq6uXbp0GTBgQL9+/cy2DsvEiRPv3LnD3TRPuZr17Nnzl19+uXLlSkpKSlpaGts4L7/8clhYGNM4FRUVbPqmrtc2X4sXLy4pKcnPz8/Nzf3777+fPHlSUlJSW1urUqkkEom3t3dQUFBoaGhAQICR62TZyJ5itvbksubThAFnPd5Z6rwvEAhef/31YcOGPXjwIDU1NScn58GDB8wKkq6urp07d+7cuXPPnj39/f0ttQidLgzoQX4b3MynMA8Pj/Hjx48fP14qld6/f//evXu5ubmPHj0qKiqqr68Xi8Xt2rXr2LGjv79/SEiIt7e3Lt9C9W1Dfo+WFulBixwJAQAAAAAAAAAAAMCqUDRNW7oOAABgoMTExF27djHxoUOHcOM7AACAFZozZ87169fnzZsXGRlp6bpYr6qqKplM5uDgwOOsmWDlqqura2trmVggELRp08ay9QGzkcvllZWVFEW5u7tbui5gJvX19dzbPFxdXW12SlQbVFpaSgiRSCQWvwXF+ilKy2ozs5t6VtDGsczbvbzOJP/MVylFFRW87ZUjQnxktTVM/H7k/A9mL+ArZ965dhCK3VTcR5zrZa1rpSYsUkXRDl4Cj/YmLMJyKisr5XK5o6Njy7udD5oilUrr6uqYWCQSWeGcxGAiMpmsqqpKKBS6ublZui5gJnV1dVLpf0+Rbdq0wW1mNkKlUj19+pRYR6dXV1cPGjSIEPLbb7/5+fkZmRt+lAIANGMXL15kAl9fX4ySAQAAAAAAAABopkQe7s4DNI0gbEWId2uTFa9lmmw9CDj/oGrb3vmlvp14y9o8THyhH/+/AwAAALAGGOoFANBclZaW5uTkMPHQoUMtWxkAAAAAAAAAAAAAAAAAAOuHGWUAAJolmqa3bNnCbvbu3duClTE1mUw2ZcoUJo6Ojg4PD7fOPNUUFRXNnTuXiVeuXBkcHMx7Ec3R/fv3Fy9ezMRbtmxp165dwzRm6B2rRdN0YWHhzZs3b9++nZubW1paqlAo3NzcOnbsGBQUFBoa2rlzZ6FQaOlqQstny7shAAAAAIAVUpQ/q77+l+Y0QrGwlY/6D8Z8ZZuMGonJ6tUIJf3f9aGkisr8qlytL/EUK6V3KqvuPDVhtXglsLfznfiKpWsBAAAAAIbDQBkAAKtD03RcXNxbb73l7OzcaAKlUrljx47U1FRmMywsrG3btqaoyZQpU2QymYYETk5OHTt2fP7551966aUXXnjBycnJFNUghCiVSiZQqVSaU1o2Ty6aptkizIzbcYmJiRZfNlIN2yw03eTa6qbuHStE0/TNmzdjY2MLCgrUniopKSkpKbl582Z8fLyjo+Pbb789cuRIOzs7i9TTBtXX17/11lt85RYfH2+6QyW/bHA3BAAAAACwWvK8x49X/UtzmlZdn3MaUa/24FXRmG/umnWgTL3yvz/2C2WPU4qTtb5kYDt5SXr1tWlJpqwXnxzaOGOgDAAAAECzhoEyAADW6NChQ4cOHRo8ePDgwYN9fHxat25NUZRSqaysrLx161Z8fHxxcTGTUigUstOW8E6pVGoe6iGVSjMyMjIyMo4dO0YIGTly5IwZM8RisYnqAzrS2nFgbaqrq1evXn3nzh2tKWtra3/88cf9+/evWrXK19fX9FUDQjhDRgAAAAAAAAAAAAAAoLnDQBkAAOt19uzZs2fPakggEonWrl3r5uZmtippduzYsUuXLm3evFkiMeu9SpWVldOnT2fiRYsW9e/f35ylAxiptLR0/vz5UqmUfeTll18ePXq0t7d369atCSFyubywsPDKlSv79u1jRmxUVFR89NFHX3zxRZ8+fSxWb7BtOPACAAAAAAAAAAAAQDOFgTIAAM1VaGjowoULm1qeiXdJSUlC4f8sdE3TtEKhKCsr+89//rNnzx6FQkEIqaysXLx48datW8283I8uq/kAWKHKysoPP/ywpqaG2XzuuedWrVqltpiag4ODj4+Pj4/P+PHjN2zYcPHiRebx1atXr1mzJjg42NyVtjF2dnaHDx/WkOD8+fP/+tf/TYH+4YcfDhs2zCz1sjwceAEAAAAAAAAAAACgOcJAGQAAq0NR1K+//vr3339nZGRkZ2c/evTo6dOnUqlUJBJ5eHgEBgYGBgaGhYWZeSIZiqIaPmJnZ9e2bduIiIjw8PA5c+bU1tYSQp48eZKSktKvXz++ihaLxZqvUltJnsAX2+kdmqZXrFjBjpIJDAxcvXq1vb19U+kdHBwWLlzYvn37X3/9lXlk+fLlO3fuNPMcTqCGOy7QzGMETcd2dkMAAAAAADCdhA1JL4QFBfbqaumKAAAAAAD8DwyUAQCwRo6OjkFBQUFBQZauiK5cXV3nz5//9ddfM5t//vknjwNlAFqq06dPZ2dnM7GLi8vKlSs1jJJhUBT19ttv5+fnX758mRCiUCi+//77FStWmLqqAAAAAAAAAPpSqVSYgBIAAAAArFALuecVAAAsjrv+S3p6ugVrAtAs1NfXx8bGspuLFi0Si8W6vJCiqPnz57OTPN24cSM3N9cUNQQAAAAAAAAAAAAAAGh5MKMMAADww8nJiY3r6ur0eq1SqUxPT09OTr57925xcbFCoQgKClqzZg3fdTREcXHx9evXb926lZeXV1paKhAIPD09/fz8XnjhhdDQUC8vL71yo2n69u3bFy5c+Ouvv8rKyhwdHbt27dq7d++BAwdyG9AieKmbUqm8fv36lStX0tLSysvLXV1du3bt2r9//759+2qdK8WwOufn5//1119379598ODB06dPRSJRx44du3Tp0rNnzx49ehhcqBl66sqVK3K5nInbt2/fo0cP3V/r5OQ0YcKE/fv3M5u//vrrp59+qvklKpXq3r17t27dyszMfPDggUwmc3Z29vf3f/HFF/v27evh4aFLuUql8s6dOzdv3rx7925+fr5CoXB3dw8ODn7xxRd79+6te2ubqOOsef/i4qsZ1fLU6yhq8aNuSUlJcnJyRkZGZmZmdXW1WCwOCAgICgrq379/+/btDcvT4m8KAAAAAAAAAAAAAJoFDJQBAAB+1NbWsnGHDh2aSlZUVDR37lwmXrlyZXBwcFZW1sqVKysrK7nJ6uvr2Vgmk02ZMoWJo6Ojw8PD2afmzZv35MkTmjON79q1awWCRuZLS0hIEIn+e9bTkCdLKpV+//33qampao8/fPjw4cOHf/75JyGkW7du77//fpcuXZp6v1yFhYXLli0rLCxkH5HL5SkpKSkpKVu2bFmwYMErr7yiSz7Ga9gLvNTt3r17K1eulEql7COlpaWlpaXJyckODg5Llix56aWXdKmeLr1TXV19+vTp/fv3q31y5HJ5VlZWVlbW0aNHKYqaN2/esGHD2MlXGmWi1tDq0KFDbPzOO+9ormRDo0aNYgfKJCcny+XypgZY0DR95syZHTt2cHdSQkhZWVlZWdnVq1e3bdvWq1ev2bNnt23btqniaJo+ceJEXFyc2jC4goKCgoKCkydPCoXC2bNnv/7665rfCF8dZ6leMxIvzajvUdSAoy4xzYGXUVFRsXbtWrWJx+RyeWpqampq6u7du/38/D7//HPNwxD1elPHjx9nZ2/asGFDp06dNOTMUCqV77zzDtNNgYGBX331ldaXAAAAAAAAAAAAAEBzgaWXAACAH3fv3mXjvn37NpWMpmnl/0cISU1NXbhwodqlzYbYl6hUqoaPcx/k5s+le56MioqKWbNmNRwloyYjI2PBggVq4w8alZ2dPWfOHO5VfC6apr/77rvjx49rzYcXar3AS93OnDmzaNEi7igZrrq6uhUrVjCji3ShuXcIIYsXL46Li9P8yaFpevPmzTExMU1lwibjvTW0qqury8rKYjf1mk6G4e7u7ubmxm7m5OQ0mqy6unrBggUbN27U/ClNTU2dPXt2U8/W1NQsWrRo69atGiaLUiqVW7duXbVqVaO7G4uvjrNIrxmJr2bU9yhq2FGXmObAm56ePmPGDM3L8+Xk5Lz//vvJycka0uj1pgYNGsQmPnz4sIZsWTdu3KipqWFe8uabb+ryEgAAAAAAAAAAAABoLjCjDAAA8EAqlf7www/s5tChQ3V51fXr15OSkggh/v7+M2bM8Pf3d3R0pGm6uLhY8yVSM4iJiampqWHisLCwiIiIDh06ODk5URSlUqmqqqqYSWVOnjypS263b99OSEigaTowMHDatGl+fn7MOy0tLU1ISGAz2bp1a1hYmKurq6nelcnqdvv27Q0bNrCbgwcPnjhxYtu2bQUCgUwmy87Ojo2NzcvLW7du3YQJE3isvI+Pz5gxY7p16+bu7u7o6EgIUSqV5eXlKSkpu3btkslkhJAbN27Ex8dPnTpVlwzN1lMFBQVsLJFIJBKJAZkMGjTo4MGDTJyRkREYGKiWoLa2Njo6urS0lNkUi8VvvfXWgAED3N3dRSIRTdNSqTQ/P//06dPnz59vqpS6urr58+cXFRUxm56entOnT+/Ro4eLiwtFUcyIn+3bt+fl5RFCUlNT161bt3jxYs0157fjrHn/YpmiGYn+R1HLHnVzc3OXLl3KboaEhEybNs3Hx8fOzk6hUDx+/Dg+Pv7q1avMs998882qVatCQkK0Zqv1TTk5Ob322mt//PEHIeTkyZPvvfeeWCzWnGd8fDwTODg46FIHAAAAAAAAAAAAAGhGMFAGAAAMx722zc5XMW/ePA8PD11efuDAAULI+PHjZ86cya4zQlFU27ZtdRxOsW3bNkLIs2fPpk2bxjyyaNGigQMH6vtG1Dx+/Dg7O5uJ33777cmTJ3OfFQqFzMiGF154ITIyUpf5Cfbu3UsImTZt2oQJE7jv1MvLKyoqytvbe/v27cyDiYmJ7733npH114vxdVMqlWvWrGE3v/jiiz59+rCbjo6OwcHBP/zww4YNG86dO5eYmMhLtXv27LlkyZKOHTuqPS4SiTw9PUeNGjVkyJBly5ZlZGQQQhISEkaPHs2df6UpZuup4uJiNtZx6a6GfH192Tg/P79hgnXr1rGjZEJCQpYsWeLk5MQ+S1GURCIJDg4ODg5+7733fvnll0ZL2bBhAzu8Y+TIkbNmzRIKheyzYrG4R48eP/zww5YtW06dOkUIuXTp0ogRI4KDgxvNzRQdZ837F4vfZmTpexQ1/qhLDD3wKpXKmJgYdnPmzJlvvPEGu2lnZ+fr67t06dJTp05t2rSJeXDNmjV79uxpak0xvd5UREQEM1CGEHLp0qUhQ4ZoyLCwsJCdoikiIoLbUwAAAAAAAAAAAADQAmCgDAAA6CQiIoK9AMlouKxGp06doqOjG05roUFISAj30qZhBAJBo7HB7t+/z8aaLx47OjpOmjRJlzzDw8MnTpzY6FOjR48+ePBgSUkJIeTkyZORkZFGNoi+jKzbmTNnqqurmTgyMpI7SoYlEAjmz5+fm5vb1ApB+oqMjNScwMHBYfny5dOnT2eWuTlx4sSUKVN0ydk8PfXkyRM29vb2NiwTLy8vNv7777/Vnr19+3ZKSgoT+/v7r1ixQsP1folE8sEHHzR8PDs7++LFi0zcp0+fOXPmNPqWBQJBVFRUVlZWbm4uIWT9+vU7duxoNKWJOs6a9y9igmbk0vcoystRl+h/4D137lxZWRkTDx8+nDtKhmvYsGFFRUUJCQmEEJlMlpiYqMsHQOub8vHx6dChw+PHjwkhe/fuHTx4sIbER48eZWNdJkgrKyv76aefNKdhpiiTy+Xs0RIaUigUzF+0ku2or69nY5qm0fW2g/0dgU63HWorOdbW1vLyww2aEZlMJpfLLV2L5q1OJtOaRqWiGz6oeXlcK0HTtEqpadFka4OvLo1iPmz19fVoHKJaUWoAACAASURBVNvB/I5jqFQqdL3tYPZ3HAxtito3ipqaGvP/lxUsgqb/7xumNXQ6uxCE2m9Mw2CgDAAA6ETrWWf48OEzZ87kzlehi7lz51r8zNoQezVXLBbb2dnxkqeGeSwoioqIiGAmaZDJZE+fPnV3d+elUB0ZWbd9+/YxgaOj45gxYzRkFRUVtWDBAj6qrBMnJ6eIiAhmuhHdB8qYp6cqKirY2OBMXFxc2Li8vFztWXbtGELI4sWLDZsVgzvNzPz58zXsrRRFRUdHM/1bUlLy6NGjTp06GVAiMajjrHn/IiZuRn2PopY66rIHCkLIzJkzNaScNGlSUlIS87+2xMTESZMmab2Qpsubevfdd7/55htCSElJyd9//+3n59doMrlc/vvvvzNxYGCgLhOkVVRUMB9XDTp37kwIUSgU7Oxr0BSlUolWsk00TaPrbQ063ZYxQ6LBpqDTjVevSxvSjQyUofm4imBqNKFVqmYwoIcLZ7GmKBQK7uAJsB0qlQr7ha1Bp9symQ5DeKGFsYZO5/eYg7s3AACAHydPnpw8efJPP/2k+49hLy+vDh06mLRWhnF2dmYCmUzGy6D40NBQNs9GdevWjY2fPn1qfIm6M7JuZWVl7Lii8ePHax6N4e/vzx3bYQahoaFMUF5ersvXOLP1FPceepHIwIHL3NZW+7+zVCq9c+cOE4eGhrZt29aA/Gtra1NTU5l40KBBmluGEOLv7+/o6MjEly9fNqBEll4dZ837FzFxM+p7FLXUUbe0tJSZ1IcQEh4ernlIpb29/dixY5lYLpcz8+to8P/Yu/O4pq78f/znJoGEIARkcUOgIApYZChqFbXt2BZHa6tF/anzaV3ootWiTl2mjo4VrdMZWx/TujHgDJ3WrRUVa7Wo1akbv1ZELQVRERk2kX1JCGQhud8/buf2NkASyE5ez0cffbzvvSfnnHvPJWZ55xwjT2rs2LHsnwyzWlOXrl27xiaG6qy7BwAAAAAAAAAAAAB9AxJlAADAKJmZmSc7OXHixMGDBzdv3jxs2DCm2PHjx9esWWNkYumkSZMs2eXeCwsLY+O//vWv7GRuvTZmzBj9BSQSCRs3Nzeb2FyPmNg37nfYo0eP1l8VRVHPPPNMj7pnIm7nuZO4dMdqI8WdqajXP7TiTncpFAq5h7jjYszaMV3iVmLMXytFUVFRUUx89+7d3jXK6NHA2fPfF7HwZezps6itnnXLy8vZeOLEiQbLjxs3jo2Li4v1FzbypFxcXNj1ni5fvtzdEzs7/Y9QKIyOjjamZgAAAAAAAAAAAABwLFh6CQAAjNLlqhY8Hs/Dw+OJJ56IiYk5duzY559/TggpKSnZtm3b1q1bDdbZ65VZLC04OHjIkCEPHz4khOTl5c2bN2/ixIlTp04NDQ3t6dpSDIPzebi6urKxlRduN7FvVVVVbOzv72+wOWb9EXOhabqioqKgoOD27dsPHz6srq7WmViFu2SYVCodMGCA/gqtNlLcaUV6PceJTCZjY29vb+4hbl5CcHBw7+qvrKxk48DAQGMeMnTo0JycHELIvXv39BQz78DZ898XseRlJD1/FrXVsy7zdMoYPHiwwfLcMS0rK9Nf2PiTmjZt2tGjR5n44sWL06ZN0ylQUVHBdjUhIcHIBcsEAoHB5xZm9SiKogwuI+XMaJqmaZqiKDtckxEshBl0dhN/IM6DHXoMulPhvsDD0DsVZujxT7zpjLqAXZZxhCtPEcoh+smFp7LO8PfuhPCS3mnhJb0Twt+7M2P+ibeHQTdvH5AoAwAAZkBR1KxZs27cuMGs9pKXl3fnzh3ucidd0vlq335QFJWcnJyUlMSud3j16tWrV68SQnx8fMaOHTtmzJiIiAh3d3cjK9SZ7cOumNi3R48esbExWUS+vr6mNMd1/fr11NTU2tpaI8sbkyFhtZEaNGgQG1dUVPSukpqaGjYOCgriHuImMHHnU+kRbsdWrFjBvAZl3g6x74uY/2u1WiZgJ7mRyWTMF96dqzX7wNnz3xex2GVk9PRZ1FbPutwnCmPWX+M+u3KTbLpk/En5+vpGRUXl5+cTQg4fPjx16lSda/vVV1+xcXx8vJHVBgYGnj59Wn+ZJUuWEELc3Nz69+9vZLVOqLW1VaFQuLq6GlyhDPoMuVzOvtbi8Xj4A3EeKpVKKpVSFIVBdx5qtZo7TaCnp2evlx8Fh1NfX08I8fT05E6rCb3Q5ulp8DcWPF4X7x0c4s+NoiiH6CcL/4p1SSqVqlQqkUhk/Cdm4OhkMhn72yeBQODl5WXb/oDVKBSK1tZWPp9vt5/wg9kplUru7za9vLzsIW0CrECr1TK/9bWHQWe/CzBLTxzp1ScAANgziqJ+//vfb9iwgdk8ceKEwUQZe/4QxN/f/9NPP01PTz937hx3f0NDQ1ZWVlZWFiFk9OjRixYtMnKKiL6Km8RgzEsTc+U0pKWlnTp1yixV2QR3/on79+/3rhLutDE69yF3XHr9eTT75SUhxMj11Axy9IHrBUtcRlZPn0Vt9ayrVqt71Afuk4nObEOd9eik5s2bxyTKtLS03Lt3Lzw8nD2kUCjYJ/yIiAgfHx/jqwUAAAAAAAAAAAAAB2K/31ACAIDD4a7w8v333+ufCMH+icXit99+OzEx8ccff8zOzs7JydH5vjY3Nzc3NzchIWHhwoUOfaam4C5qo9VqDa5UYvA7b2NcvHiRTbbg8XjTp08fP3784MGD3d3dBQIBd47fqqqqpUuXmt6i2XFXn2lqamppaenFvC+XLl1iY528NO64qNVqkUjUi06aPamiDwxcL9hzRqDVcLO12Ply9OAuzWDeGYMef/xxDw8P5ucvR48e3bhxI3uImTaMMW/ePDM2CgAAAAAAAAAAAAB2BR/cAwCA2eisvNPe3m7MWjx2TiwWx8XFxcXF0TTd3NxcUlJy5cqVS5cusd/1Hj9+PDAwcPLkybbtp61wZ0Zpa2szmO3R0NBgYosajSY1NZWJPT09d+3apWeGT2O+krcJkUgUEhJSUlLCbBYUFEyYMKFHNTQ1NXEvZkhICPcoNxFHKpX2bh0T7uAePnzYxJmT+8bA9YJ5L6OD4l4EmUxm8CLI5XI25t7MpqMoav78+WlpaYSQnJwcqVTKLAVF0/ShQ4eYMkKhcNSoUWZsFAAAAAAAAAAAAADsChYPAwAAS+GutdEHUBTl7e0dGxu7atWqjIyMxMRE9lBaWhp3/gOnMmTIEDaura01WJ5NDem1qqoq9kv0FStW6F8Ht6amxsTmLGfGjBlsfPDgQZqme/Twb775ho3Hjh2rM2cMdyWmsrKy3vXwscceY+O6urreVcLqMwPXU+a9jA4qICCAjauqqgyW594AQUFB5u0MN6/xwoULTFBSUlJfX8/ECQkJBifHAgAAAAAAAAAAAADHhUQZAAAwm7a2Nu6medfLMFJPsw16RyAQzJw5Mz4+ntlsa2trbGy0Qrt2iLve1s2bNw2W/+6770xssbKyko3Dw8P1F75x44aJzVnOhAkT2C/jKysrCwoKjH9se3v7kSNH2M3Oy8Rwx+X8+fO96yG3EtOvZJ8ZuJ4y72W0TwafeLmZW99//73BCnNyctg4NDS01x3rklgs/u1vf8vER44cYdIcjx07xhZgn9sBAAAAAAAAAAAAoE9CogwAAJhNaWkpG7u7u+tMcWE5PN4v/5x1dHRYp1FCSFxcHBvLZDKrtWtXfH192alBMjMz9a+YU1xc3NLSYmKLSqWSjfXP+qBUKs+ePWtic5bj6ur62muvsZsfffSRSqUy8rF79uxhUxOioqKGDRumU8DDw4NNRsnNze3dBC0SiSQiIoKJjxw5YuIfV58ZuJ4y72W0Hz164vXz8/P19WXic+fOKRQKPYXVavXJkyeZ2NXVVWdZMbNISEhgArlcfvv2bblcfvXqVWbPyJEjfXx8zN4iAAAAAAAAAAAAANgPJMoAAIB50DR96NAhdpP9vb4VcDNyrLmyCXcWmX79+lmtXXszd+5cJmhraztz5kx3xWia3rt3r+nNsV+3E0LKy8v1lExPT7fzpISpU6cOHTqUiZuampKTk41ZsCwjI+Py5ctMzOPx1qxZ02WxV199lY137NjRu9XBFixYwATt7e379u3rRQ2svjRwPWXGy2g/evrEyz5R6Pxj0VlmZiabVjVjxgxuRo65BAUFDR48mIm/+OIL7kxXbD8BAAAAAAAAAAAAoK9CogwAAJhHZmbm7du32c0ZM2ZYrWmBQODu7s7E169fN73CI0eO5Ofn658cpb29ff/+/UwsEom4SQDOJj4+XiwWM3FqauqtW7c6l2GyZIqLi01vLigoiI13797dZUYFTdNffvllVlaW6c1ZFJ/Pf//999lFyvLz81esWFFfX99debVa/cknn7A3HiFk48aN7Iw+OqKiokaPHs3Ed+/eff/99/VM4yGXy//1r3913j9y5MiJEycycVZWVnp6uv6/C0JIfX39/v375XK5zv6+NHA9ZcbLaD96+sT73HPPsffqiRMnups06PLlywcOHGBioVA4Z84cc3S2C6+88goT5Ofnsze/SCSKioqyUIsAAAAAAE5o7qpZEWNG2LoXAAAAAAC6kCgDAAC9R9N0W1tbfn7+unXr/v3vf7P7X3nllQEDBlizJ5MnT2aCu3fvfv311zKZjF2YphcePHiwYcOGuXPnpqWl5eXlNTY2svN8aDSapqamixcvvvnmm01NTczOpUuXUhRl4ik4LoFAsH79enbzvffeS0lJqa6uZqYwUalUd+7cWb16NfO9uOkZVB4eHhMmTGDiioqK5cuX5+XlsSkgbW1teXl5q1evPnjwICFk9uzZJjZnad7e3rt27WIzjR4+fJiYmPj3v/+9qKiora2N2alWqx8+fJiZmTl//vwLFy6wj12zZg2bCtOlNWvWsKkJubm5ixcv/vrrr+vr65ksDZqm5XL5vXv39uzZM3/+/K+++qrLSlauXDlo0CAmPnHixKuvvnr69Onq6mp2oSitViuXy8vKys6cObNq1arExMSMjIzOE9j0sYHrKXNdRrvSoydePp//5z//md3cs2fPtm3bysrKmJQpjUZTWVm5Y8eOjz76iC3z7rvvWm4JvyeffJJdAozNW0pISNC/LhgAAAAAAAAAAAAA9AECW3cAAAAcQ0JCgk4uCE3TXX6JGx8fb7k5ALozc+bMr7/+mon37dvHLG7C4/HYPmdkZAgEPftXT6VSnTp16tSpU/qLTZkyxZrrTNmn6Ojot956KyUlhdnMysrqclKQpKSk4ODg7hIyjJeUlJSXl9fa2koIefToEffbd67ly5dHR0cfPXrUxOYsbeDAgfv27UtOTi4qKmL2fPfdd9y1YDrr169fcnJyWFiY/prFYvHu3bvffffdiooKQohcLmf/OownFAo/+eSTrVu35ufnE0JaW1tTU1N7VAOrjw1cj5jxMtqPnj7xDhs2LDk5OTk5mfm349q1a9euXeuu8nfeeSc2NtZynXdxcXn55Zd1brP4+HjLtQgAAAAAAAAAAAAAdgIzygAAgFG0Wq3m1zpnyQwaNOj9999/++23rT+9ip+f3x//+Eeddrl9tkSjHh4ea9euXbZsmTNPJ8OaOnXqBx98wC7FokMgEGzYsOH55583S1tisTglJWX48OHdFRCJRJs3b54yZYpZmrMCDw+PDz/8cOPGjf7+/vpLurq6Lliw4N///rfBLBm25l27diUmJupPFIuOjt67d293R0Ui0fvvv79x40aJRKK/OYqi4uPjd+3a5eHh0flo3xu4HjHXZbQfvXjijYmJ+fTTT8PDw/VUGxgYmJaW9swzz5i3t51NmzaNuzly5Mj+/ftbulEAAAAAAAAAAAAAsDnMKAMAAL0nEAgGDBgQHBwcHh4eGxs7ZMgQG6aMTJgw4Ysvvvjhhx+uX79eWlpaXV3NrOjRC+vWraurqysvLy8tLf3vf//76NGjurq69vZ2rVYrkUgCAwMjIyNjYmKGDx/O4yHl9BcjR448cODA9evXf/jhh1u3bjU3N3t5eYWFhU2cOHHcuHHmXUJFIpF8+OGH9+/fv3jxYkFBATNjir+/f2Rk5Pjx42NiYlxcXMzYnBVQFDV27NgxY8ZUVVXdunUrPz+/tLS0trZWo9F4e3sHBARERkbGxsaGhYX1dGkYHo83c+bMF198MS8v78cffywsLCwrK1OpVP379w8NDY2Ojn7yyScNJugw3fv888/Ly8uvX79+//79oqKi5uZmQoi/v//QoUNDQ0NHjRo1fPhw/Ve+7w1cj5jrMtqPXjzxent7b9++vba29urVq4WFhXfu3GltbRWLxSNGjIiMjIyLiwsICLBO5319fcPDw+/evctszps3zzrtAgAAAAD0Al/i4fnUeP1lXPzcqcG6H8sM0XpPHu5jsX51IZ+i2F9W9RN4DHEfavAhrrwON0ljUMIki3bMjFz6udm6CwAAAABgEoqmaVv3AQAAAAAAwKpomn711VelUikhRCQSHT58uKdZaMZbsmTJjRs3li1blpiYaKEm+oDW1laFQiEUCu18LiUwI7lc3t7ezsQ8Hg+zOjkPlUollUopivLxseoXt2BDarW6paWF3fTy8urpwrjguOrr6wkhEonEUXLBwXTu7u5tbW1MvHHjxq1bt9q2P2A1UqlUpVK5ubl1N98w9D0ymUypVDKxQCDw8vKybX/AahQKRWtrK5/P9/b2tnVfwEqUSqVMJmM3+/fvj18ROwmtVtvY2EjsY9DlcvnTTz9NCDly5EhISIiJteEOBgAAAAAAp3Pv3j0mS4YQMmvWLMtlyQAAAAAAAAAAAACAXcGvNwAAAACgT2lrayssLCwoKLh3715NTU1zc7OLi4uPj09YWFhISMjjjz/+2GOP2Tz53dJqamqWLl3KxFu2bImKirJtf3rt/v3769atY+K9e/cOGjSocxmFQjF//nwmTkpKmjx5sjE1f/3112z8/PPPm9xTAAAAAAAAAAAAAHAMSJQBAAAAgD6ioqLis88+y8nJ0dnf0dFRWVlZWVn53XffEUKEQuHcuXOnT58uEols0U1roGlao9HYuhfmwZ6InkVj2TJardaYOltaWq5cucLE0dHRWPAFAAAAAMyrJHGV4r9l3D1+R/+/DjdZd+UdRYPCa/dtA280VNpfCpw6WlhRcIAv4P00pouUd3uz6iWZyLXV06Xfc9r7P+/SCOmfbhl+pDi4/fRlduuBNOLm/sJed6PfY4Nm39/f64cDAAAAgDGQKAMAAAAADk+tVqekpJw/f96Ywkql8vPPPz948ODrr78+bdo0iqIs3T2wN4cOHWLjRYsW2a4jAAAAANA30Vot0f46z5sihHSb+e1A6B6eBU3TtJbWdp/1bkdomiY0+fk/Zg8hxvScpn9djKa1Jpyvcdn/AAAAAGAKJMoAAAAAgGOTyWRr166tqqpi9wwcOHDevHnDhw/39fUVCoWEkI6OjpaWluLi4nPnzuXm5hJCNBpNampqcHDwyJEjbdZ1sLq2trasrKysrCxmc+TIkaGhobbtEgAAAAAAAAAAAABYExJlAAAAAMCBtbe3r1ixoqGhgdkUi8UbN24cOXKkzjwxLi4uvr6+vr6+48aNa2pq+uc//8muvAPO4O9//zuz8BYXj8dbs2aNTfoDAAAAAAAAAAAAALaCRBkAAAAAcFQ0Tb///vtslkxISMhf/vIXsVis/1He3t5r16597rnntm3bZvk+gsWJRKKTJ0/29FEURW3dutXHx8cSXQIAAAAAAAAAAAAAu4VEGQAAAABwVJcvX87Pz2diT0/Pv/71ryKRyMjHxsTE7Nu3r6WlxWK9A3vE4/GGDh0aFxc3bdo0iURi6+4AAAAAAPRlefdODPSNHOQfbuuOAAAAAAD8ChJlAAAAAMAhdXR07Nmzh91ct26d8VkyDG9vb29vb3P3C+zRH/7whz/84Q+27gUAAAAAgHOhaS0htK17AQAAAACgC4kyAAAAAOCQrl27plAomDg4ODgqKsq89dM0XV5e/tNPPxUWFj548KCxsVEgEAQEBISFhcXGxo4aNcrV1bV3NWs0mlu3bl2+fPnOnTsNDQ0SiSQyMvL555+Pjo6mKEqncGNj46VLl3JycsrKytRq9WOPPTZmzJj4+PhezIaiVqtzcnKys7Pv3bvX1NTk5eUVHR395JNPjhkzhs/n96iqurq67OzsO3fu3L17Vy6Xi0Si4cOHR0ZGxsXFDR482Ph6NBrNjRs3fvjhh7y8PKZLI0aMiIuLe/LJJ3t9efWw3JgCAAAAAAAAAAAAgKNAogwAAAAAOKSvvvqKjefNm9c5xaTX5HL5t99+e/ToUalUyt2vUqmKioqKiopOnz5NUdSyZcvi4+P1t1tTU7N06VIm3rJlS1RUVElJyaZNm7g1NzQ0XLly5cqVK0FBQX/5y188PDyY/RqN5p///Ofp06e5Fd69e/fu3bv79+9PSkp6/vnnjT+p/Pz8999/v729nd1TX19/4cKFCxcuuLu7b9iw4fHHHzemnpaWlu3bt7MrXjFUKlVubm5ubu7nn38eEhLypz/9yd/f32BV9+7d27Jli0wm43apvr4+OztbKBSuX7/+iSeeMKZLCoVi/vz5TJyUlDR58uTOZcw4pgAAAAAAAAAAAADg0Hi27gAAAAAAQI+pVKq7d++ym+adTmbdunXp6ek6GRU6aJres2dPcnKyVqvVX0zzP4SQ/Pz8VatWdVdzWVnZypUrVSoVIaSjo+OPf/yjTpYM165du7799lujzoeQnJycDRs2cLNkuORy+Z/+9KdvvvnGYD35+fmLFi3SyZLRUVJS8vrrr2dnZ+uv6vz582vXruVmyXAplcrNmzdfunTJYJcY7EXubjjMOKYAAAAAAAAAAAAA4NAwowwAAAAAOJ6qqio29vb2ZmdhMaOgoKAXX3wxIiLCx8fHzc2NEKLRaJqamnJycj777DNm1aebN28ePHjw1VdfNabCH3/88dixY4SQ0aNH/9///d/QoUNdXFzUanVJScnHH3/MnFF9ff2//vWvt956a8eOHUVFRUKhMDExcdy4cRKJhKIoqVR65syZgwcPMhXu2rVr/Pjx/fr109/ujRs3jh8/TggJCAhYsmTJ8OHDRSKRVqutrq4+duzY+fPnmWL/+Mc/Bg0aFBMT0109paWlGzZsYDejo6MXLFgQFBTk4uLS0dHx8OHDgwcPXrt2jTn6t7/9bevWrdHR0V1WVVBQsHPnTnbz2WefnT179sCBA3k8nkKhKC4uTktLKysr27Fjx6xZswxd1x4w+5gCAAAAAAAAAAAAgMPBjDIAAAAA4HgqKyvZODQ01LyVx8bG7t27d9euXfHx8UOHDhWLxRRFURQlEAj8/PxeeOGF/fv3R0REMIUzMjKampqMqTYjI0Or1S5dunTTpk2hoaGurq4URbm6uoaHh+/cuZNdqygrK+vw4cPZ2dmDBw9OT0+fOnWqt7c3j8ejKEoikcydO3f16tVsnV9//bXBdpksmUmTJu3atSs6OtrNzY2iKD6fP2TIkBUrVmzatIkt+cEHH6jV6i4r0Wg0ycnJ7ObixYu3bt0aFhbGnIWLi0twcPCGDRvefvtttsy2bduY2XE6V7Vt2zZ2c+PGjStXrhwyZAifz6coys3NLSoq6pNPPmFWUGJSi0xnoTEFAAAAAAAAAAAAAIeDGWUAAAAAwPHU1dWxcWBgoHkrT0xM1F9AKBS+9957CxcuVCqVhJAzZ87Mnz/fmJqnTp06bdq0zvtdXV2XLVu2efNmZvPw4cOEkA8++KDLmXKeeuqpAwcO1NTUEEK++eYbY5oOCAhYvXo1j9dFlvzo0aPffPPNtLQ0QohCofjmm29mzJjRudh//vOfhoYGJp4yZcrLL7/cZUPx8fE1NTUZGRlMbceOHevcvfPnz8vlciZOTEwcO3Zs53p4PN7KlStLS0tLSkoMnp0xLDemSqXyv//9r/4yzMJbWq22o6PDuP46I2bFK5qmcZWch84yZxh658E8KxIMujNhB73LTXAGGo2Goihb98KqaJo2uMcR9YVz0IOm//c/dodRZ6z9dTETx9pxXxIzJ443Pk6Fe7c77q0LvYC38E5I5zV8R0dHl580Qt/DfnpjD4POPueY5aU1EmUAAAAAwPG0tLSwsY+Pj/U7IBaLExISmIwW45MqFi5c2N2hxx9/nLuZkJDg7e3dZUmKol544YX09HRCSEtLi0wmM7jy1PLly/W8jZk6deqBAwfa2toIIV9++eVLL73U+WuML774go0XL16sp625c+dmZmYyb1qOHTs2d+5cnabZqtzc3F588cXu6qEoavny5dzpcyytd2P68OHDV155RX8ZZtIjhULR3Nxsej/7NpVK1eVERNDnabVa/IE4G5qmMehOSyaT2boLYG2tra227oK16eSDkr6SItY3zqI7Wi2T56Eh/3s/RGu1xmR4aX79PbGmw6Sr5Oivi5RKJfPzA3A2Go3GoW9d6AVHf74CU0ilUlt3AazNHgad+QSbmClRBqleAAAAAOB4uCsECQS2Sf6OiYlhgqamJoVCYbD86NGjxWJxd0ddXV0HDBjAbj777LN6qho+fDgbG/xIQiQSRUZG6inA5/MTEhKYuLW1tbq6WqdAfX09O4XP5MmT9ZwFIcTV1fWll15iYpVKVVpayj3a0NDAzkwzc+ZMPp+vp6phw4Z5enrqKWB2PR1TAAAAAAAAAAAAAHA4SJQBAAAAAMfj4uLCxraa5VUikbAxd4ab7sTGxuovMHjwYDYeNGiQkU0bTJSZOHGiwYnun3jiCTbuvNpReXk5tzb9VRFCxo0bx8bFxcXcQ9y8mdGjR+uvh6KoZ555xmBzZtTTMQUAAAAAAAAAAAAAh4OllwAAAADA8XAnGmlqarJEEzRNV1RUFBQU3L59++HDh9XV1TrTR3NnU5dKpdz5YLpksAA7U4tQKNQ/TY5QKGRjfeG77AAAIABJREFU7uQ6XQoLC9NfQKdvlZWVOkcfPnzIxtxsnu4MHDiQjcvKyriHqqqq2Njf399gVcyiReZi9jEFAAAAAAAAAAAAAIeDRBkAAAAAcDx+fn5szJ3vxFyuX7+emppaW1trZHmVSmWwDDe7pUs83s/TPYpEIiPbNQb3WnXHzc2NjR89eqRzlLvHmLWQ3N3d2ZibZKNTlf4lnBi+vr4GyxjJEmNKCBk0aFBqaqr+Mnv27CGECIVC7ow1oKO9vV2lUrm4uBhzY0DfoFAo2GQ1Ho/n4eFh2/6A1XR0dMjlcoqirLy+HtgQM+jsZr9+/fQvvwh9CTNLn7u7u63WS7WVZp7uVO58Pl9jk66YFZ/PJ8Q2M3paAY9HEUJ4PD6hf95DdRrHLvEFAu5FMfEpjsfjOegbh7a2NrVaLRQKzfuWFuwZM+hMzOfz+/XrZ9v+gNWoVKr29na8j3MqarW6ra2N3fTw8OAZ968kODqapqVSKSHE09PT4LTllsa+pzBLT5zr/QkAAAAA9A1Dhgxh4wcPHpi38rS0tFOnTpm3zh4x7/tMV1dXg2W4n+TqTLJCfj1pjTHfcHD7r1MbN/vEmNM0mF1kJMuNqZubm8FFtZiVwvh8PnfJMNDB3Co8Hg9XyXnopKNh6J0HTf/89SMG3WkJBAJny5kAgUDgbH/ynT+7t/n3CmbRF85BD4r6+X9sogxF0foe8DPerweX4pl0nSiKctC/F+Ymx0t6p8J9X++4ty70gkajIRh0J8OdhpkQ4uLigkQZJ8EOvUAgsPmgs885SJQBAAAAACfFXQCooaFBJpOZ6ycsFy9eZDMqeDze9OnTx48fP3jwYOZXsBRFsa/Cq6qqli5dapZGLcqYmVG473U7J9ZwP/VgPgoxvjadTBdu5Vqt1uBPLTtn7fRC3xtTAAAAAAAAAAAAAOg1JMoAAAAAgOMRiUTDhg0rLi5mNm/fvj1u3DjTq9VoNOwyOp6enrt27fL29tZT2PQWraC+vt5gGe7UqYMGDdI5OmDAADaWyWTclZW6xF1bgZvSpFNVW1ubwRnFGxoa9BcwqE+OKQAAAAAAAAAAAAD0GuZEAgAAAACH9PLLL7PxF198wa7jYIqqqio2yWPFihV6MioIITU1Naa3aAVsOpEedXV1bBwQEKBzlLunqqrKYG3cKxMUFMQ9xF0zq7a21mBVJSUlBsvo1yfHFAAAAAAAAAAAAAB6DYkyAAAAAOCQxo0bxy7rU1JSUlhYaHqdlZWVbBweHq6/8I0bN0xv0QquXLliMIvo5s2bbPzYY4/pHA0MDGTj77//3mCLOTk5bBwaGso9FBwc3GWj3fnuu+8MltGvT44pAAAAAAAAAAAAAPQaEmUAAAAAwCG5uLgsWbKE3dy+fbtSqexRDS0tLeXl5dw93Br4fL6exyqVyrNnz/aoOVtpb2+/d++engIajeb48eNM7O7urrNYEiHEz8/P19eXic+dO6dQKPTUplarT548ycSurq4hISHco76+vuycLpmZmfqXOiouLm5padFTwBh9ckwBAAAAAAAAAAAAoNeQKAMAAAAAjurZZ59l5whpamrasGGD/hwOrvz8/DfeeEMmk3F3sukghBCdHBod6enpHR0dPeyvzezZs0er1XZ39Pz5862trUw8Z84ciqI6l5k7dy4T0DR96NAhPW1lZmayuSkzZszg8XTfcbBVtbW1nTlzprt6aJreu3evnoaM1FfHFAAAAAAAAAAAAAB6B4kyAAAAAOCoKIravHmzRCJhNouKil577bWioiL9j5LJZDt37uwyqyYoKIiNd+/e3WXaBE3TX375ZVZWlml9t6qysrJdu3Z1mSuTl5e3Z88eJhYKhdOnT++yhueee46dCebEiRPdzbxy+fLlAwcOsLXNmTOnc5n4+HixWMzEqampt27d6lyGyZIpLi7Wd1bG6atjCgAAAAAAAAAAAAC9g0QZAAAAAHBgYrF49+7dAwYMYDZlMtmaNWuWL19+5cqV6upqtVrN7NdoNC0tLbdu3frwww//7//+7/z5813W5uHhMWHCBCauqKhYvnx5Xl4em0/T1taWl5e3evXqgwcPEkJmz55t2XMzkxdffJEQcuHChXfeeef27dsqlYoQotVqa2tr09LS/vznP7Ml161b5+rq2mUlfD6fW3LPnj3btm0rKytj8k40Gk1lZeWOHTs++ugjtsy7774rEok6VyUQCNavX89uvvfeeykpKdXV1Uwej0qlunPnzurVq5lcnBkzZph29n1zTAEAAAAAHMJvwhP8fUbYuhcAAAAAALoEtu4AAAAAAIBJJBLJnj179uzZ89133zF7KioqPvzwQ/2P4vF4ixcvjoiI0NmflJSUl5fHLEX06NEjbnYI1/Lly6Ojo48ePWpy9y1u3LhxERER27dvLykp4Wao6HjttdfGjBmjp55hw4YlJycnJyczGS3Xrl27du1ad4Xfeeed2NjY7o5GR0e/9dZbKSkpzGZWVlaXs7kkJSUFBwd/9dVXenpljL43pgAAAAAAAAAAAADQa5hRBgAAAAAcnqur6x/+8IedO3fGxMQYLCwQCF555ZUvvvhixowZPJ7u62GxWJySkjJ8+PDuHi4SiTZv3jxlyhRTO21FEydO3Lx5c3ezxbi5uW3dutWYuVtiYmI+/fTT8PBwPWUCAwPT0tKeeeYZ/VVNnTr1gw8+cHd37/KoQCDYsGHD888/b7BLxuiTYwoAAAAAAAAAAAAAvYMZZQAAAACgjwgODk5OTpbJZHfu3MnPz793715NTU1zc7OLi4uPj09YWFhISEhUVFRISAifz9dTj0Qi+fDDD+/fv3/x4sWCgoKKigpCiL+/f2Rk5Pjx42NiYlxcXKx1TmbzxBNPHDx48Nq1a9nZ2Xfv3m1ubvb09IyJiXnyySfHjRun/4JweXt7b9++vba29urVq4WFhXfu3GltbRWLxSNGjIiMjIyLiwsICDCyqpEjRx44cOD69es//PDDrVu3mpubvby8wsLCJk6cOG7cuC6Xbeq1PjmmAAAAAAAAAAAAANALFE3Ttu4DAAAAAABAn7VkyZIbN24sW7YsMTHR1n2xX62trQqFQigUenh42LovYCVyuby9vZ2JeTxe//79bdsfsBqVSiWVSimK8vHxsXVfwErUanVLSwu76eXlJRDgx3vOor6+nhAikUicLS9Zq1AS8qsP3ilXHuk0n6XD0dJ0h5bSX6a/p6StrY2J3333T5vfS6YJofkGHmUPBHwtRVEUoX/5GQFNE2O+QNHS3NHWdNA0bcL5UpRALOz9w21HKpWqVCo3N7fupg6FvkcmkymVSiYWCAReXl627Q9YjUKhaG1t5fP53t7etu4LWIlSqZTJZOxm//79O0/UDX2SVqttbGwk9jHocrn86aefJoQcOXIkJCTExNrwphQAAAAAAAAAAAAAwGx4IodMdDCITxGjJ6MkhBCBgCcUOdB3EJ3Ozch0l18/jt/1mrcAAAAAYEcc6EUqAAAAAAD0mEKhmD9/PhMnJSVNnjzZtv2xqPv3769bt46J9+7dO2jQINv2BwAAAAAAAAAAAADsDRJlAAAAABzS/PnzFQpFjx7y2WefeXp6Wqg/0DvccTx27JiFpq/UaDRMoNVqLVG/XWFPFovMAgAAAAD0TvOd8oIPvzCmZMTfxvIlOvt+edNxuaTxQO698KBGZtNbQ0IeFpqlh4rWfvzQSa4Bg81SGwAAAAA4GyTKAAAAADgkjUbDJgSA48I4AgAAAACAvWmvbrz/77PGlBz2UYCqQ/arXdQvCev369puVbSI+pcwmx08j8fKs83TRW1oh080EmUAAAAAoHcs8otVAAAAAAAAAAAAAAAAAAAAAAB7gxllAAAAABxeZmYmn8+3dS8AAAAAAAAAAAAAAADsHWaUAQAAAHB4FEXZugsAAAAAAAAAAAAAAAAOAIkyAAAAAAAAAAAAAABgZqrmGlt3AQAAAACgC0iUAQAAAAAAAAAAAAAAc6Nt3QEAAAAAgK4IbN0BAAAAALANmqbLy8t/+umnwsLCBw8eNDY2CgSCgICAsLCw2NjYUaNGubq69rROjUZz+/btW7duFRYWlpeXd3R0+Pj4REVF/eY3vxkzZkwvKmTqzM/Pz87OLiwsrK2t7ejoiIyM3LZtW+eSdXV12dnZd+7cuXv3rlwuF4lEw4cPj4yMjIuLGzx4sM1PxES1tbU3btz48ccfy8rK6uvreTyen59fSEjI448/HhMT4+/vb5ZWLHFXMNUWFBRcvnz5p59+amhocHNzGzFixJgxYyZNmiQWi42vR6PR3Lhx44cffsjLy2tqavLy8hoxYkRcXNyTTz7Z045Z53oCAAAAAAAAAAAAgL1BogwAAACA05HL5d9+++3Ro0elUil3v0qlKioqKioqOn36NEVRy5Yti4+PpyjKmDppmj5z5kx6erpSqeTur6qqqqqqOnv2LJ/Pf/PNN3/3u9/pqbCmpmbp0qVMvGXLlqioqKKioi1btuj0U61W6zywpaVl+/bt+fn5OqeTm5ubm5v7+eefh4SE/OlPfzIm+8EsJ2JeMpns73//e25urs7+ioqKioqKS5cuEUIiIiJef/31sLCwXrdirrui8yBWV1dv2rSpurqaW2dOTk5OTs7evXtXr1791FNPGdPDe/fubdmyRSaTsXvq6+vr6+uzs7OFQuH69eufeOIJY+qxzvUEAAAAAAAAAAAAAPuEpZcAAAAAnM66devS09N18iF00DS9Z8+e5ORkrVZrsMK2tra1a9empKToJJdwaTSalJSUrVu3ajQaPY1q/ocQkpubu2bNGv39JITk5+cvWrRIJ0tGR0lJyeuvv56dnW2dEzGjlpaWN954o3NWh447d+6sXr26vb291w2Z667QGcTi4uIlS5Zws2R0Cn/00UdZWVkGu3f+/Pm1a9dys2S4lErl5s2bmRwX/ax2PQEAAAAAAAAAAADAPmFGGQAAAAAnFRQU9OKLL0ZERPj4+Li5uRFCNBpNU1NTTk7OZ599plAoCCE3b948ePDgq6++qqcepVK5cuXKmpoaZtPPz2/hwoWjRo3y9PSkKEqpVBYVFe3bt6+srIwQkpubu2PHjnXr1hns3o0bNzIzMwkhw4YNW7Ro0bBhw9zc3Giarq2t5ea7lJaWbtiwgd2Mjo5esGBBUFCQi4tLR0fHw4cPDx48eO3aNebo3/72t61bt0ZHR1vzREyUnJzc1tbGxOPHj09ISBgyZIhYLKYoSqvVtra2MpOgnD171izNmeuuYBQUFGRkZNA0HR4evmDBgpCQEGYQ6+vrMzIy2D6npKSMHz/ey8tLTz07d+5kN5999tnZs2cPHDiQx+MpFIri4uK0tLSysrIdO3bMmjVLf5esfD0BAAAAAAAAAAAAwN4gUQYAAADA6cTGxq5fvz4gIEBnv0Ag8PPze+GFF5577rlNmzbduXOHEJKRkTF9+nRvb+/uatu5cyebXDJt2rQ33niDz+ezR0Ui0ahRoz755JO9e/eeO3eOEHL16tWpU6dGRUXp7+Tx48cJITNnzly8eDG70A9FUQMHDmSTITQaTXJyMvuQxYsXv/zyy+ymi4tLcHDwhg0bzp07t3v3bmbntm3bDhw44OrqarUTMcXDhw+Li4uZ+Pe///28efO4R/l8vkQikUgkjz/+eGJi4smTJ01py7x3BePw4cOEkAULFsyaNYs7iP7+/suXLw8MDNy3bx+z89ixY6+99lqXlWg0mm3btrGbGzduHDt2LLvp5uYWFRX1ySef7Ny58z//+c+xY8f09Mea1xMAAAAAAAAAAAAA7BOWXgIAAABweAkJCS/r9eabb3LLJyYmds6H4BIKhe+9955QKGQ2z5w5013J4uLiK1euMPHYsWOXLFnCTS5h8Xi85cuXBwcHM5sff/wxTdMGzys6OpqbJdPZf/7zn4aGBiaeMmUKN0uGKz4+fs6cOUysUCi6zKWw6In02v3799lY/1wpbm5uc+fOZeaA6R0z3hVckydPnj17dpeDOH36dD8/PyY+e/Zsd1fy/Pnzcrmc7SQ3S4bF4/FWrlwZEhKivzPWvJ4AAAAAAAAAAAAAYJ8wowwAAACAw9NqtfoLaDSantYpFosTEhKYGUHOnDkzf/78LosdOnSIjVeuXKknqYWiqKSkpNWrVxNC6urqKisrhw4dqr8PS5cu1VMhIeSLL75g48WLF+spOXfu3MzMzI6ODkLIsWPH5s6dy+P9KmXcoifSa2wakEgkcnFxsVArxjPyruDqbp4YQghFUQkJCampqYQQhULR2Njo4+PTuRg7ym5ubi+++KKe2pYvX86MS3cscT0rKyvfeecd/WUEAgEhpL29vampySyN9knM85hKpcJVch7cf7y0Wi2G3nkwmZE0TWPQnYdOOqxUKtX/Gg/6HplMhkF3LDKZzMiSWo1G/9Ay78I6xybq6Ohok8mU+KfEnjCv7hQKhUqlsnVfwEq4L+k7Ojrw6s55MK/umNW6bd0XsBKdl/TNzc14dedsWlpabN0F0tbWxgQGvxAxBhJlAAAAAKBrMTExTEpEU1OTQqEQiUQ6Bdrb23Nzc5n46aef9vDw0F/hsGHD3Nzc2tvbCSHff/+9/vwSf3//IUOG6ClQX19fV1fHxJMnTxaLxXoKu7q6vvTSS8xyTiqVqrS0lDv7iEVPxBRsTxQKhVwud3d3t1BDxjN4V+gU1n8xIyIi2LjLRJmGhgY2u2XmzJldTvPDGjZsmKenp1Qq7a6AJa6nSqUqKSnRXyY0NJQQQtN0L1LWnA2ukjPD0DshDLrTMstnmuBYMOgOx/ghowmt/1symtBdxiaiaVqr1eKfEjuEl/TODEPvhDDoTguv7pyQPfy9m7cPSJQBAAAAcHiZmZn6Ewh6RyKRsHFLS0vnlIjS0lI2njRpksEKKYqKiorKyckhhNy9e1d/YYMVlpeXs/HEiRMNtj5u3DgmUYYQUlxczE2UseiJmCIsLIyN//rXv65fv15/PpAVGLwruMaMGWN8bc3NzZ0LcIdm9OjR+mujKOqZZ545efJkdwXs8HoCAAAAAAAAAAAAgJUhUQYAAADA4fVuokuapisqKgoKCm7fvv3w4cPq6mqlUsktwP1lgFQqHTBggE4NlZWVbBwYGGhMo0OHDmXyS+7du2ewpP4CDx8+ZOPBgwcbbHrgwIFsXFZWxj1k0RMxRXBw8JAhQ5gzzcvLmzdv3sSJE6dOnRoaGmqhDA/T7wou7jXvkqurKxt3OTt3VVUVG/v7++uvjfxv7pbuWP96AgAAAAAAAAAAAIC9QaIMAAAAgDO6fv16ampqbW2tkeW7TGKoqKhg4xUrVvB4PPK/BWtpmmYDQohWq2VXL2bKy2Qymqb1pPh4e3vr79KjR4/Y2NPT0+ApcNfZ4SbZWPpETEFRVHJyclJSErPMEyHk6tWrV69eJYT4+PiMHTt2zJgxERER5lqSySx3BZdQKDSxS9xRNiaXxdfXV89RS1xPDw+Pl156SX+Z+/fvE0IEAoH+CXicnFqt1mg0fD7fxcXF1n0BK+no6Ojo6GBiiqJMf8YAR6HValUqFQbdqTCDzm66uroyL7fAGSgUCoJBd0DcjHb9KMrAyPI4BXiGChuP4vFcXV2FeIFtT5iX9AKBQCDAF0/Oghl0JubxeMY/dYCj02g0arUag+5UmEFnN4VCoYU+DgV7Q9M080NKexh08675hdcrAAAAAE4nLS3t1KlTptfDZhuQ/30CbkYGP1njvjcz5mM47kfzOrOkWPRETOTv7//pp5+mp6efO3eOu7+hoSErKysrK4sQMnr06EWLFhk5F053zHVXmBf3SzVjvlwx+J2r2a+nn5/fpk2b9JdZsmQJIcTV1bVfv37G1OmcWltbmU/VcZWch1wu5ybKYOidh0qlYp7eMejOQ61Wc/9NF4vF+A7VeTCvrt3c3JAL61hkbm5GluTxeLTeAtxlgs24ZLCAz+e7uYnxT4k9kUqlGo3GxcXFXL/lAPsnk8m4iTJ4dec8FAqFWq3G+zinolQquR/Guru7Iw3aSWi1WuazdHsYdDZTxyw9wZtSAAAAAOdy8eJFNh+Cx+NNnz59/PjxgwcPdnd3FwgEFEWxLzerqqqWLl2qpyrbfsPB/aid/VxGD26+uU46hZ1/VSMWi99+++3ExMQff/wxOzs7JydHJ9EnNzc3Nzc3ISFh4cKFvcvrN+NdYV7cXyZptVqDH6zrXJkuWeF6AgAAAAAAAAAAAIDdsuuvBAAAAADAvDQaTWpqKhN7enru2rVLzwpHBrNPBgwYwMaHDx+28o/GuK3LZDKDrcvlcjYePHhwd1VZ/0SMJBaL4+Li4uLiaJpubm4uKSm5cuXKpUuX2GE6fvx4YGDg5MmTe1qzee8K8+IOTVtbm0Qi0V++oaHByJotdz0BAAAAAAAAAAAAwJ5hTiQAAAAAJ1JVVcXmi6xYsUJPPgQhpKamRn9tjz32GBvX1dWZ3r0eCQgIYOOqqiqD5bmnExQUxD1k2xPpKYqivL29Y2NjV61alZGRkZiYyB5KS0vrxUKt5r0rzGvIkCFsXFtba7B8SUlJT5sw+/UEAAAAAAAAAAAAAHuGRBkAAAAAJ1JZWcnG4eHh+gvfuHFDf4Hg4GDjC5tdYGAgG3///fcGy+fk5LBxaGgo95BtT8QUAoFg5syZ8fHxzGZbW1tjY2NPKzHvXWFe3KG5efOmwfLfffedKc2Z5XoCAAAAAAAAAAAAgD1DogwAAACAE1EqlWzM5/P1lzx79qz+2iQSSUREBBMfOXKko6PD9B4az8/Pz9fXl4nPnTunUCj0FFar1SdPnmRiV1fXkJAQ7lHbnojp4uLi2Fgmk/X04ea9K8zL19eXneEmMzNT/8JPxcXFLS0tpjdq4vUEAAAAAAAAAAAAAHuGRBkAAAAAJ8JmlhBCysvL9ZRMT083Jl9kwYIFTNDe3r5v3z4Tu9dTc+fOZQKapg8dOqSnZGZmJpsOMmPGDB5P92WwbU/ERNxZT/r169fTh5v9rjAvdpTb2trOnDnTXTGapvfu3WuWFk28ngAAAAAAAAAAAABgz5AoAwAAAOBEgoKC2Hj37t1dJj3QNP3ll19mZWUZU+HIkSMnTpzIxFlZWenp6frn/CCE1NfX79+/Xy6XG93rbj333HPsdCMnTpzobrKTy5cvHzhwgImFQuGcOXM6l7HtiXTnyJEj+fn5+nvS3t6+f/9+JhaJRNysFyOZ/a4wr/j4eLFYzMSpqam3bt3qXIbJkikuLtZflXWuJwAAAAAAAAAAAADYMyTKAAAAADgRDw+PCRMmMHFFRcXy5cvz8vLYRYva2try8vJWr1598OBBQsjs2bONqXPlypWDBg1i4hMnTrz66qunT5+urq5WqVTMTq1WK5fLy8rKzpw5s2rVqsTExIyMDK1Wa/rp8Pn8P//5z+zmnj17tm3bVlZWxqR6aDSaysrKHTt2fPTRR2yZd999VyQS2duJdOfBgwcbNmyYO3duWlpaXl5eY2OjWq1mDmk0mqamposXL7755ptNTU3MzqVLl1IU1dNWLHFXmJFAIFi/fj27+d5776WkpFRXVzNXXqVS3blzZ/Xq1Uya1IwZM/RUZZ3rCQAAAAAADFfvAbbuAgAAAABAFwS27gAAAAAAWFVSUlJeXl5raysh5NGjR9xEE67ly5dHR0cfPXrUYIVCofCTTz7ZunVrfn4+IaS1tTU1NdW8fdZj2LBhycnJycnJTNrEtWvXrl271l3hd955JzY2trujtj0RPVQq1alTp06dOqW/2JQpU37729/2rgmz3xXmFR0d/dZbb6WkpDCbWVlZXc5tk5SUFBwc/NVXX+mvzQrXEwAAAAAAAAAAAADsFmaUAQAAAHAuYrE4JSVl+PDh3RUQiUSbN2+eMmWK8XWKRKL3339/48aNEolEf0mKouLj43ft2uXh4WF8/frFxMR8+umn4eHhesoEBgampaU988wz+quy7Yn0moeHx9q1a5ctW9br6U8scVeY19SpUz/44AN3d/cujwoEgg0bNjz//PNmacv06wkAAAAAAAAAAAAAdgszygAAAAA4HYlE8uGHH96/f//ixYsFBQUVFRWEEH9//8jIyPHjx8fExLi4uPS0Toqixo4d+/nnn5eXl1+/fv3+/ftFRUXNzc1MzUOHDg0NDR01atTw4cN7UblB3t7e27dvr62tvXr1amFh4Z07d1pbW8Vi8YgRIyIjI+Pi4gICAhziRHSsW7eurq6uvLy8tLT0v//976NHj+rq6trb27VarUQiCQwMjIyMjImJGT58OI9naga8Je4K8xo5cuSBAweuX7/+ww8/3Lp1q7m52cvLKywsbOLEiePGjetuRS0ua15PAAAAAAAAAAAAALBPFE3Ttu4DAAAAAABAn7VkyZIbN24sW7YsMTHR1n2xX62trQqFQigU2sMsTWAdcrm8vb2diXk8Xv/+/W3bH7AalUollUopivLx8bF1X8BK1Gp1S0sLu+nl5SUQ4Md7zqK+vp4QIpFIbJ51DT3S9rC+/OT/b0zJIfMe43vwuXv8JKPb2n7+J37WG6ve/uOaoX5tzGY/TYd/c7VZeqiW8nlDowT9vc1SG5iFVCpVqVRubm7dTQUKfY9MJlMqlUwsEAi8vLxs2x+wGoVC0drayufzvb3xPOwslEqlTCZjN/v374+fmTkJrVbb2NhI7GPQ5XL5008/TQg5cuRISEiIibXhTSkAAAAAAAAAAAAAAPxMPMQ3/K2XevvoXxYwjRjQ75nQIb866B3R+25xuJqlFgAAAABwVkj1AgAAAAAAAAAAAAAAAAAAAACngBllAAAAAECf2traW7duFRYWPnjwoLa2VqvVSiSSoUOHBgcHR0ZGjhgxQiKR6K9BoVDMnz+fiZOSkiZPnmz5XgMAAAAAAJhN9aU8WkubUgOfT9x/vUQRQ0vIPZ8AU2q2N9zr1FAnv5NvnrWW9JNQuSK5AAAgAElEQVQMoVzc/rdBEYmLxuBDXJpbiVZr0V6ZjuLxiU+YrXsBAAAA0AchUQYAAAAAulZSUrJ79+7i4mKd/XV1dXV1dTdv3jx+/DghJDAw8KWXXpo4caJYLO6uKo3m548ptXb/QaR+8+fPVygU3D3p6enGr8e8YcOGwsJC7p7t27eHheFzTwAAAAAAu3Zu6rsahcqUGjwD+kc8pu68v0MoXPLsElNqtjcqzS9v+r6/VCav/tYKjU5d5SsIbGRiAY/3pL/U4EP8btzlyVss3C9T0SIJb+rfbd0LAAAAgD4ISy8BAAAAgC6apg8fPrxq1arOWTKdlZeX7969+6233rJCx2xO08mlS5eMfGxzc3N+fr7Owy3aWwAAAAAAAAAAAAAA0IEZZQAAAABA16lTpw4fPsxuRkVFzZo1KzQ0tF+/fjweT6vVSqXS8vLyixcvXrhwwYb97I5UKl24cCETr127Ni4uznJtHT16dMaMGRRFGSx58eJFy3XDnllzOAAAAAAAAAAAAAAA9EOiDAAAAAD8Sk1Nzb59+9jNzZs3P/HEE9wCfD7f29vb29s7Ojp6yZIlX3/99cGDB63eTQPYyVpomrZE/Twej6ZpmqalUmlJSUloaKj+8jRNHz16lIldXV1VKpOmbXc4lh4OAAAAAAAAAAAAAAAjYeklAAAAAPiVjIwMNn777bd1smR0iESiOXPmHDp06Le//a2eMif/57nnnjNnX21HLBbHx8cz8enTpw2Wf/DggVQqJYTweLxp06ZZtnMAAAAAAAAAAAAAANANJMoAAAAAwC9omj5//jwT83i8Z5991phHicXiRYsWWbBbdonNdzl//rzBGWLYZJopU6YMGDDAsj0DAAAAAAAAAAAAAIBuIFEGAAAAAH4hlUq1Wi0TR0RE8Pl82/bHngUHB3t7ezNxbm6unpJKpfLChQtMPHXqVIv3DAAAAAAAAAAAAAAAuiGwdQcAAAAAwI60t7ezsaenpw17QtN0QUHB5cuXf/rpp4aGBjc3txEjRowZM2bSpElisdiGHWNRFDV79ux9+/YRQo4ePRoXF9ddSTaNxtvbOygo6Pbt28a3QtN0eXn5Tz/9VFhY+ODBg8bGRoFAEBAQEBYWFhsbO2rUKFdXV1vVxtJoNPn5+dnZ2YWFhbW1tR0dHZGRkdu2betFVd3Vf/v27Vu3bhUWFpaXl3d0dPj4+ERFRf3mN78ZM2ZML/ps/3cXAAAAAAAAAAAAAFgIEmUAAAAA4BcCwS+vD0tLS81Sp0KhmD9/PhMnJSVNnjxZp0BNTc3SpUuZeMuWLVFRUdXV1Zs2baqurmbLqFSqnJycnJycvXv3rl69+qmnnuqyrWXLlj169IimaXbP9u3bebwuplHMyMjgnmzvPPXUU0yiTHFxcUNDg4+PT5fFMjIymGDOnDkURRlZuVwu//bbb48ePSqVSrn7VSpVUVFRUVHR6dOnKYpatmxZfHy8wWrNVVvnwSoqKtqyZYtOtWq1mphjOGiaPnPmTHp6ulKp5O6vqqqqqqo6e/Ysn89/8803f/e733XXZzPeXQAAAAAAAAAAAADQB2DpJQAAAAD4hUQiYeNHjx7V1dWZpVrN/7DrOnHRNM0WIIQUFxcvWbKEm8egU/ijjz7KysrS0xC3FW7lXOY4LSKRSEaOHMnE3333XZdl6uvrS0pKmHjSpEnGV75u3br09HSdBBQdNE3v2bMnOTm5ywtridp0Bis3N3fNmjXdVWvicLS1ta1duzYlJUUnS0aniZSUlK1bt3ZXiRnvLgAAAAAAAAAAAADoAzCjDAAAAAD8wsXFJTw8/O7du8zm1q1bP/jgA3d3d6t1oKCgICMjg6bp8PDwBQsWhISEuLm50TRdX1+fkZFx9uxZplhKSsr48eO9vLys1rHuzJ49m1lK6fjx47Nmzeo8r8mFCxeYICoqipuHZKSgoKAXX3wxIiLCx8fHzc2NEKLRaJqamnJycj777DOFQkEIuXnz5sGDB1999VUr13bjxo3MzExCyLBhwxYtWjRs2DBmsGpra7Ozs3t6pjqUSuXKlStramqYTT8/v4ULF44aNcrT05OiKKVSWVRUtG/fvrKyMkJIbm7ujh071q1bp79Oh7u7AAAAAAAAAAAAAMDskCgDAAAAAL/y+9//ftOmTUxcWlr6yiuvJCQkTJ48efDgwcYvG9Rrhw8fJoQsWLCAm3RCUZS/v//y5csDAwOZpY4IIceOHXvttdd0Hp6amkoIaW5uXrBgAbNn7dq1PZrHpaeio6P5fL5Go2ltbb1///7w4cO5R7VaLZNKQgiZNWtWj2qOjY1dv359QECAzn6BQODn5/fCCy8899xzmzZtunPnDiEkIyNj+vTp3t7e1qmNcfz4cULIzJkzFy9ezB2sgQMHMidrynDs3LmTzZKZNm3aG2+8wefz2aMikWjUqFGffPLJ3r17z507Rwi5evXq1KlTo6Ki9NRp4t0FAAAAAAAAAAAAAH0AEmUAAAAA4Fd+85vfjB8//vvvv2c2NRpNRkZGRkYGn8+PjY2NiooaPnx4QECAh4eHhTowefLk2bNnd3lo+vTpJ06cYBaEOnv2bGJiYpe5Ozwer8vYEgQCwbRp077++mtCyKlTp9555x3u0Xv37rW1tRFC+Hx+dHR0j2pOTEzUX0AoFL733nsLFy5kViY6c+bM/PnzrVMbKzo6mpsl06VeDEdxcfGVK1eYeOzYsUuWLOluoJcvX15UVFRaWkoI+fjjj//5z3/q74zpd5eO5ubmkydP6i/DTNWjVqvb29sNVui0mLWxNBoNrpLz6OjoYGOapjH0zoNdLA+D7jx0VkhUKpVqtdpWnQGbUCqV3Kd950TTtK270JfRhtai7eIhjjAgjvUaiXm27+jocKA+g4m4/8RrtVoMvfNg/ll3rOcoMJHOazmFQmGFX1SCPWBfxNrDoLPPOdqev/brDIkyAAAAAKBr3bp1aWlpWVlZ3J0ajSYnJycnJ4fZ9PX1jY+Pnzx5sr+/v3lb1zOTB0VRCQkJzDwlCoWisbHRx8fHvK33wu9+9zsmUebixYvLli0TiUTsITaF4oUXXuBOiGIuYrE4ISGBmSjFyNQW89a2dOlSS7xBOnToEBuvXLlSTxMURSUlJa1evZoQUldXV1lZOXToUD01m/3uamxs3Llzp/4yoaGhhBC1Wi2Xyw1W6OQ6OjrwLZpzomkafyDOBoPuzPCFihNi8oYdmulpLkiUsSjulyV96VI74j+XarUa2ZDOSavVOtztCibCoDsz5peB4FTsYdDN2wfL/r4WAAAAABwRn89/6623du7cGRMT012Z+vr6Q4cOvf7661u2bJFKpeZqOiYmRv9cNREREWzc2NhornZNERAQ4Ofnx8TXr19n97e1tWVnZzPxlClTLNQ6O0ZNTU2mfwPRo9r8/f2HDBliYoudtbe35+bmMvHTTz9tcO6iYcOGubm5MTE7E1KXHPHuAgAAAAAAAAAAAADzQqIMAAAAAHQtODg4OTl5//79a9asGTt2bHcTouTm5i5YsKCwsNAsjY4ZM0Z/AYlEwsbNzc1madREFEXNmTOHiTMyMtj9P/zwAxP4+/sHBARYqHXuBWlpabFmbZMmTTKxuS4x6ygZ3wRFUVFRUUx89+5dPSUd8e4CAAAAAAAAAAAAAPPC0ksAAAAAoI9EInnqqaeeeuopmqZlMllVVdXt27fPnz//8OFDtoxWq3333Xf37ds3YMAAE5sbOHCg/gKurq5srFKpTGzOXCZMmLB3715CSGlpaV1dHTPBzJEjR5ijc+bM6fX6RDRNV1RUFBQU3L59++HDh9XV1UqlkluAO8e4VCrVPwTmrU3/Ike9VllZycaBgYHGPGTo0KHMomD37t3TU8xCdxePh58fAAAAAAAAAAAAADgMJMoAAAAAgFEoivL09PT09AwPD581a1Z1dfU//vGPmzdvsgU++OCDjz/+2MRWhEKhiTXYhIeHxxNPPMFcjQsXLsybN+/Ro0dVVVXM0QkTJvSu2uvXr6emptbW1hpZXn9uh3lrI4R4e3sbWVWPVFRUsPGKFSuYNBSappn/swEhRKvVMoFGo2HKy2Qymqa7S0uyxN0VEhLC5OjosWTJEkKIWCz29fU1ewf6jNbWVoVCIRQKDS62BX2GXC5vb29nYh6P179/f9v2B6xGpVJJpVKKonx8fGzdF7AStVrNnanOy8tLIMBnks6ivr6eECKRSFxcXGzdF5P0OvGdxePxCNGYpTPQGZ/zrGLkYJk8pNbA4/0/9u48PqrqfPz4uTOTzCRhSEKAsMWExchiiAhiKYstXwmKWJFFjRYUqoLQGF/FYivWDexXbWlFFApo2rIqCESoAi79IsgPDUGhYQ2I7FsChExmX+7vj9tepyFMJpPZkvm8/+D13Jsn5zwzNyGzPHOOpgk9iaiurnY4HAkJCUlJSZGuBWFiMpnUj9/odLqUlJTI1oOwsdlsNTU1Wq02RC8NIQrZ7XaTyaQetmrVik+OxQiPx6PsUB8NF91sNitBUCrhJxgAAACBaNeu3YsvvjhmzBj1zNGjR9XWkBh07733KkFxcbHH4/nkk0+Uw379+rVo0SKAARctWjRr1iz/+1rCOZoiRG9xqW+cCyFsNpvFYrFYLFar1Wq12mw2u91ut9sdDofD4XC5XG63W+2SAQAAAAAAAACgXnx6AwAAAIEbP378P//5z8uXLyuH+/fv79ChQ2RLipQbb7wxPj7e4XBYLJbS0tINGzYo59UGmgbZsmXLP/7xDyXWaDQjR44cMGBAhw4dkpKSdDqdJEnqpyTPnDkzZcqUcI4WanzEHAAAAAAAAAAQOrwGDQAAgMBpNJoRI0YsX75cOfz+++8jW08EabXakSNHrl27Vgjx6quvulwuIYRer+/Zs2dDh3K73QsXLlTili1bzps3z8dKtvWupxLc0cIgPT1djVeuXMmq3QAAAAAAAACAIGLrJQAAADRKp06d1Nh705wYlJeXpwRKl4wQ4u6779ZqtQ0d58yZM+p+q08++aTv/Z7Pnz8fztHCoHPnzmpcUVERwUoAAAAAAAAAAM0PjTIAAABolJqaGjVOTk6OYCV1kmU5bHN16NChffv23meGDRsWwDinTp1S4+7du/tO3rVrVzhHayR/LkdWVpYah7oeAAAAAAAAAECsoVEGAAAAjbJz5041zs7OjmAlKo3mh0e56uIu4TFu3Dg17tixY62+GT/Z7XY19r0gjd1u37x5czhHC0BDL0dycnKPHj2UeNWqVWG+ggAAAAAAAACA5o1GGQAAAPzAYrEUFxc7nU4/88+cOVNSUqIe1rtgSXgYDAY1DvPePbfffvv6/1iwYEFgg7Ru3VqNT5w44SOzqKio3j6S4I4WgAAux4QJE5TAarUuXrw46CUBAAAAAAAAAGIWjTIAAAD4L0VFRfn5+WvWrLFYLL4zz507N2PGDPVwwIABqampIa7OLzqdLikpSYm9F7xpKjIzM9X4rbfeqrN5RZbl999/f+PGjWEeLQABXI5evXoNGjRIiTdu3FhUVOR2u31/S2Vl5dKlS81mc2NKBQAAAAAAAAA0ezTKAAAAoDaHw/H3v//9gQcemD179pdffnn69GmbzaZ8SZZli8Vy8ODBN9544/HHH6+urlbOG43GwsLCyJVc29ChQ5Xg4MGDGzZsMJlMsixHtiT/GY3GgQMHKvHJkyenTZu2Z88e9RJYLJY9e/ZMnz59+fLlQoixY8eGc7TABHA5CgsL1Y2riouLx48f/9FHH507d87hcCgnPR6P2Ww+fvz4pk2bnnrqqUmTJq1evdrj8YSifgAAAAAAAABAs6GLdAEAAACIXiUlJd47K11LamrqH//4x8TExDCU5KdRo0Zt2LBBiRcvXqxs36PRaCRJUk6uXr1ap4veB8MFBQV79uypqakRQpw9e/Z3v/tdnWnTpk3Lzc394IMPwjlaAAK4HHq9fu7cubNmzSorKxNC1NTULFy4MOiFAQAAAAAAAABiDSvKAAAA4AeJiYlFRUWTJk3q2LGjP/kJCQmPPfbYO++806ZNm1DX1iBt2rR55pln1D4Mhcfjcf9HpArzU2Ji4oIFC7Kzs6+VYDAYXnzxxeHDh4d/tAAEdjkMBsPs2bOfe+655ORk3+NLkpSXlzdv3jyj0Ri0ogEAAAAAAAAAzVH0fogWAAAAEdG6detRo0aNGjXKZDIdPnz40KFDx44dO3Xq1Pnz551Op8FgaN++fadOnbp165abm3vddddptdpIl1y3gQMHvvfee1999dXOnTuPHTt27tw5l8sV6aIaIDk5+Q9/+MPhw4e3bNmyd+/ekydPCiHatm3bs2fPAQMG9OnTJy4uLlKjBSCwyyFJUv/+/ZcsWXLixImdO3cePny4vLy8qqpKKT4jI6Nr1669e/fOzs4Odf0AAACIZW36d3c7GvVsIrFVYkJGHefdOl1Oh5aNGTna/EuS1P1QU9ISut7QOgyTpiYZ4/T//lSwViPFaRLq/RYp2SL0lhDX1VhSfFKkSwAAAGieJFmWI10DAAAAADRbkydP3rVr19SpUydNmhTpWqJXTU2NzWbT6/UsCxQ7zGaz1WpVYo1G06pVq8jWg7BxOBzV1dWSJKWlpUW6FoSJ0+m8cuWKepiSkhLNO2AiuCorK4UQycnJtDXHjqSkJIvl3w0ozz333KxZsyJbD8Kmurra4XAkJCQkJdHfEytMJpPdbldinU6XkpIS2XoQNjabraamRqvVpqamRroWhIndbjeZTOphq1atNBo2rokJHo/n0qVLIjouutlsvu2224QQq1at6tKlSyNH4ycYAAAAAAAAAAAAAAAAMYFPbwAAAADNh81my8/PV+KCgoKhQ4dGtp4wiMGbDAAAAAAAAAAIGI0yAAAAQLjl5+fbbDb1MC8v74knnqj3u86fPz9lyhR1hPvuu6/ONLfbrQQej6fRlTYNMXiTAQBAU3f08enuS1WRrqIeWqOhXcYlw09vEvYLgY2Q4vF4klpbb8697GrYjXW6dfP2GwKbFP5ro231+dfa4I5pd/3wmPyzjw7XnFkT3PERtZSnY5IkSZJ0rZyf/rKFNs3iz2gaWTINfi9oxYVSzowHevxyVKSrAAAADUOjDAAAABBubrdb7e0QQmzcuHHcuHGtW7f2/V2yLNMRAgAA0Dy4Ki+5Ll6OdBX1cSbKxgrhNAtrgKVqhJDjE4RwumVzg77RLcddtvOIN+QS9S3OmzTBHVP2im1W56WLfnVFIEbYHHEal3+NMpLGfKoi1PUEhdPEDzkAAE1PkB8EAwAAAAjA4sWLI10CAAAAAAAAAADNH40yAAAAQOTt2LHj9OnTka4CAAAAAAAAAIBmjq2XAAAAgKgwf/78V155pZGDGAyG9evXB6WepiIGbzIAAAAAAAAAIGCsKAMAAABETFJS0tChQ5W4rKzsyJEjka0HAAAAAAAAAIDmjUYZAAAAIGIkSXrkkUfUw7feekuW5ciVAwAAAAAAAABAM8fWSwAAAEAkpaSkjBo1qri4WAhx9OjRvXv35uTkhGdqt9u9c+fOkpKS3bt3V1VVpaamZmdnDxw4sH///vHx8QGPuW/fvm+//Xb//v0nTpxwuVxpaWk5OTk33XTTLbfcEsCwbre7rKxs+/bt+/fvv3Dhgsvl6tmzZ2B7VMmyfOLEiX/961/79+//7rvvLl26pNPpOnXqdP311/ft27d3794B32oAAAAAAAAAQFNBowwAAAAQYQ888MCHH36orCXz1ltv/eUvf5EkKbChbDZbfn6+EhcUFKj7Ol2trKzs97//vdlsVs9UVFRUVFRs375dr9c/++yzffr0OXz48IwZM5Svzp8/v3379j6mlmV506ZNRUVFdrvd+/yZM2fOnDmzefNmrVb7+OOP33HHHde6defPn58yZYoSv/zyyzk5OeXl5S+//HJ1dbV3mtPpbOhNNpvNn3766QcffFBrKIfDUV5eXl5e/tFHH0mSNHXq1Ly8vIDvfAAAAAAAAABA9GPrJQAAACDCEhMTH3roISU+e/bszp07GzOa+z88Hs+1cjZs2DBz5kzvLhlvdrv9hRde2LJli/dovveEslgsv/71rxcsWFCrS6ZWYQsWLJg1a5bb7a4zQZZldTohRGlp6dNPP12rteVaI/u+yTNmzCgqKvI9lCzLb7/99ksvveTjfgMAAAAAAAAANHWsKAMAAABE3j333LNq1SqHwyGEePvtt/v27avVakM0165duxYvXqwe3nnnnffcc096erpGo7Hb7d99992777575MiRP/3pT2PGjPFnQLvdXlhYeP78eeWwTZs2Dz/8cO/evVu2bClJkt1uLy8vX7x48fHjx4UQpaWlc+bMUReq8VHkunXrhBDdunV75JFHunXrlpCQIMvyhQsXtm/fHtgNz8zMvPvuu3v06JGWlpaQkCCEcLvdly9fLikp+fvf/26z2YQQ33zzzfLly8ePHx/YFAAAAAAAAACAKMeKMgAAAEDk6fX6SZMmKfHly5e3bt0aoomcTudrr72mHs6aNeuJJ57o0KGDVquVJMlgMPTq1WvOnDkjR44UQqxZs8afMd988021S2bEiBGLFi0aMmRISkqKRqNRxuzdu/fcuXPz8vKUnC+//LKsrMz3mGvXrpVledSoUXPmzOndu3diYqIkSRqNpl27dn6273jr27fv/Pnz582bl5eXl5GRoYwmSZJOp2vTps1dd921dOnSHj16KMmrV6++fPlyQ6cAAAAAAAAAADQJrCgDAAAARIXhw4cvXbpU2Q5p4cKFgwYNiouLC/osmzdvVpZOEUJMmzYtNzf36hxJkh577LHvv/9+37599Q545MiRbdu2KXH//v0nT54sSdLVaRqNZtq0aeXl5ceOHRNCvPHGG++8806dmarc3NyJEyf6zvGT2oR0LXq9/oUXXnj44YeVraM2bdqUn5/vz8hut7uqqsp3jrKXkyzLbOrkg7K3F/dSTKm1oRuXPnaol56LHjuu/n3n6scaWfjaxBMAmrRYfhbDQ/qYxUP6GMTve8xSr3U0XPTg1kCjDAAAABAVtFrtlClT5syZI4SwWCybNm26++67gz7L6tWrlaBFixa33377tdIkSZo8efKTTz5Z74ArVqxQ48LCQh99LZIkFRQUTJ8+XQhRUVFx6tSpjIwMHyNPmTIlKF0yfkpMTBw9evTKlStFQxpljh8/ft999/nO6dq1qxDCarVeunSp8XU2bw6Hg3spNnk8Hi59rJFlmYses6qrqyNdQlSIhhea66W8I+JyuRr5IrLb5RYN3FaU3prwcLlcQsRHugrEELfb5e82B03n/wCLxcKjGiGEy+Xifog1brebix6z6v3YGJqfaLjoFotFCYLyZIqtlwAAAIBoMXjw4LS0NCX+61//qi79EiyVlZXqpkL33nuvVuvr/YqsrCy1mGuxWq2lpaVKfNtttxmNRt/53bp1S0hIUOIdO3b4yGzbtm3Hjh19jxZ0ffr0UYLLly8H/c4HAAAAAAAAAEQDGmUAAACAaKHsT6TELpdr3bp1wR1f2fZIoTaF+DB48GD/B6w3WQghSVJOTo4SHzx4sDFTh0JycrIaX7lyJfwFAAAAAAAAAABCja2XAAAAgCjSt2/fjh07nj59Wgjx3nvv/exnP0tKSgrW4MqwijZt2tSb36VLF98Jp06dUuPrrrvOnxoyMjJKSkqEEIcOHfKd5s9oDSLL8smTJ/fu3btv377Tp0+fO3fObrd7J3gv2lldXZ2enh70GgAAAAAAAAAAkUWjDAAAABBFJEn65S9/+dvf/lYIIcvyihUrHnvssWANfv78eTVOTEysN7/erZdOnjypxk8++aRGoxFCyLKs/KsGQgiPx6MEbrdbyTeZTLIsS5JU58ipqan1ltcgO3fuXLhw4YULF/zMdzgc/qS1bdt29uzZvnNWrVolhIiPj693a6pYZrPZnE5nXFycwWCIdC0IE7vdrv6iSZLUokWLyNaDsHG5XFarlYseU9xut7qXvBAiMTHR9/6PMeLiNR4FRRXloVrjr1cAI0iiCdw/zQC/jAgzrcbvH7mm83+AXq+P2ed6yvM4JdZqtf68zoDmwel02mw2jUYTxA93Icopz+PUwxYtWlzrNT00M7Is19TUiOi46MqLz+I/z1MaiUYZAAAAILr06tUrOzu7vLxcCLFhw4axY8cGq2vEu/lDfV7hg16v953g/QzZZrMFXNjVdLpgPlVZtGjRP/7xjyAOqGrRosUdd9zhO0fZQkun09V7f8Yyp9PpdDo1Gg33UuxwuVxqLEkSlz52SJKk/PngoscO9S00RXx8fHD/0DdREX+V2X+NL7UJ3dhYw6VBuDXHH7lYfq7n/SIDD+ljivJRKC56LIuPj/fnpUU0A+oK3NFw0dWXkmiUAQAAAJqnadOmFRYWKnFRUdH06dODMmxcXJwaezyeej8/Wu+qKk3iXa4tW7aoXTIajWbkyJEDBgzo0KFDUlKSTqeTJEl9ZnXmzJkpU6ZErlIAAAAAAAAAQMg1gde1AQAAgFjTuXPnm2+++ZtvvhFCfPHFFw899FC7du0aP2x6eroaW61W776ZOl28eNH/AVeuXBmFK+663e6FCxcqccuWLefNm+djeR51WygAAAAAAAAAQHPFmkgAAABANJo8ebIa/+UvfwnKmB07dlTjioqKevOPHTvmO6Fz584NGjD8zpw5YzablfjJJ5/0vYnV+fPnw1IUAAAAAAAAACBiaJQBAAAAolH79u2HDBmixN988029PSv+yMzMVOPdu3fXm79161bfCVlZWWq8a9euQOsKoVOnTqlx9+7dfSdH500AAAAAAAAAAAQRjTIAAABAlPrFL36hxvPnz2/8xkBt2rQxGo1KvG7dOo/H4yP55MmT9S4Sk5yc3KNHDyVetWqVy+VqZIVBZ7fb1Vir1frO3Lx5c+grAgAAAAAAAABEEo0yAN796t4AACAASURBVAAAQJRKTU296667lPjgwYOffvppIweUJGncuHFKXF1d/cUXX1wrU5blRYsW+TPmhAkTlMBqtS5evLiRFQZd69at1fjEiRM+MouKiqKw0QcAAAAAAAAAEFw0ygAAAADR68EHH1TjtWvXNn7AESNGxMfHK/Gf//znAwcOXJ0jy/KSJUv27Nnjz4C9evUaNGiQEm/cuLGoqKjelW8qKyuXLl1qNpsbUniAvHebeuutt+pshZFl+f3339+4cWMY6gEAAAAAAAAARBaNMgAAAED0MhqN+fn5QRwwPj5++vTp6uEzzzxTVFR04cIFZRsmh8NRXl7+7LPPrlmzRghxzz33+DNmYWFh+/btlbi4uHj8+PEfffTRuXPnHA6HctLj8ZjN5uPHj2/atOmpp56aNGnS6tWrfW/8FCxGo3HgwIFKfPLkyWnTpu3Zs8dmsylnLBbLnj17pk+fvnz5ciHE2LFjw1ASAAAAAAAAACCCdJEuAAAAAIAv99577+rVq4O4K9CAAQMmTJiwZMkS5bC4uLi4uPjqtIKCgszMzA8//FA5lCTpWgPq9fq5c+fOmjWrrKxMCFFTU7Nw4cJgVdt4BQUFe/bsqampEUKcPXv2d7/7XZ1p06ZNy83N/eCDD8JbHQAAAAAAAAAgrFhRBgAAAIhqBoNh4sSJwR1z7NixL7zwgsFgqPOrWq322WefHTZsmPeiLzqdryZ7g8Ewe/bs5557Ljk52ffUkiTl5eXNmzfPaDQGUHkAEhMTFyxYkJ2dfa0Eg8Hw4osvDh8+PDz1AAAAAAAAAAAiiBVlAAAAgGh3xx13LFu2zGq1BnHMvn37rlix4quvviopKdmzZ09VVVVKSsr1118/cODAAQMGKD00V65cUfOTkpJ8DyhJUv/+/ZcsWXLixImdO3cePny4vLy8qqpKCNG2bduMjIyuXbv27t07Ozs7Li4uiDfEH8nJyX/4wx8OHz68ZcuWvXv3njx5UqmqZ8+eAwYM6NOnT/hLAgAAAAAAAABEBI0yAAAAQLitWrWqQflxcXHvv/++P5kGg2H9+vV+DqvT6QYNGjRo0KBrJZw6dUqNExIS/BlTkqTMzMzMzEw/a/DWrl07/4tX+XmTJUnKzs72sa5MwAUAAAAEIOutV4XHHekq6qfTyxq9LuB1yS9fviwkKTE+LTG+YX3JspBn9dMGOCv85vZIj1wf5FXnu7+ssTr+Hf90eLdnZowK7viIWjU1NU6n02Aw+HjymJAqa3TX3NX3v8iy59CQoBUXSvq0lpEuAQAANBiNMgAAAADqtm3bNiXIysqSJP9ezQQAAIAf4jukR7qEcHDbtEIIjSZZJzV4Ab+2fvVpo9HqWTiywbyfNiQZ49M7hGnHVURcQrXscDgSEhLqXY7UX9fTgAIAAEKFRhkAAAAAdaisrDx69KgSDxs2LLLFXIvNZsvPz1figoKCoUOHRrYeAAAAAAAAAECUo1EGAAAAaD7y8/NtNpuPhMTExE6dOnXu3Pnmm2++8cYbExMT60yTZXn+/Pnq4S233BLkQoPH7f73ngUejyeylQAAAKDZuPLZVvv3J/xMThvQUqNxNX7S0hadT3uCvBFSnezVLSqrQrVgpMsjq/HBvRc+WPZtiCZqpOxh2vYtJYPOGsEaTN+Yz2446iMhLimh928fDFs9AAAAsYNGGQAAAKD5cLvdauNInUwm04EDBw4cOPDxxx8LIUaMGPHII48YDIZag7zzzjulpaXK4YABA9q1axe6mgEAAIBoY9q6o/qLHX4mp3XsIturGj/pt5mjdplrGj9OvQzV13251xGiwb0bZY4crNzwwd4QTdRII/skpCQZXPLpCNZQXaH51+/f85GQ0K4VjTIAAAChQKMMAAAAELs+/vjjbdu2vf322ykpKW63u7q6evfu3cuXL79w4YKSoNVqp0yZEtkiAQAAAAAAAAAIFhplAAAAgOZp3bp1Wq3W+4wsyy6Xq7KycvLkyepJk8k0YcKEOkfQ6XSvv/56ampqaAsFAAAAAAAAACBcaJQBAAAAmidJkq4+ExcX5+c+Sn369Hn66aeNRmMISgsag8Gwfv36SFcBAAAAAAAAAGgyaJQBAAAAYoskSe+///7333+/adOmLVu2qOd1Ol3r1q27d+/evXv3AQMGsJAMAAAAAAAAAKD5oVEGAAAAiDkJCQk9e/bMyMhQG2Vatmy5bNmyiBYFAAAAAAAAAEDI0SgDAAAAxKjExEQ1ttvtfn6X2+3et2/ft99+u3///hMnTrhcrrS0tJycnJtuuumWW26Jj49vaBmyLO/du3fr1q3/+te/Ll68mJCQcMMNN9xyyy2DBw/2rjCIwj8jAAAAAAAAACBK0CgDAAAAxCir1arGHTt2rDdfluVNmzYVFRXV6qo5c+bMmTNnNm/erNVqH3/88TvuuEOSpDpHOH/+/JQpU5T45ZdfzsnJOXfu3PPPP3/u3Dk1x+FwlJSUlJSUzJ8/f/r06UOGDPFRks1my8/PV+KCgoKhQ4eGekYAAAAAAAAAQJNGowwAAAAQo/bv36/Gt956q+9ki8Xy/PPPl5eX+8hxu90LFizYuXPnzJkztVrt1QmyLLvdbvXwyJEj06dPl2W5ztFkWf7jH/9oNpvvvPNO35MqgcfjCc+MAAAAAAAAAICmi0YZAAAAIBaZTKa5c+eqh8OGDfORbLfbCwsLz58/rxy2adPm4Ycf7t27d8uWLSVJstvt5eXlixcvPn78uBCitLR0zpw5M2bM8F3A3r17V69eLcty9+7dJ0yY0KVLl4SEBFmWKysrV69evXnzZiVtwYIFAwYMSElJadStjdCMAAAAAAAAAIBoo4l0AQAAAADCx+12V1ZWfvzxx48++qjJZFJOTp06tXXr1j6+680331S7ZEaMGLFo0aIhQ4akpKRoNBpJkgwGQ+/evefOnZuXl6fkfPnll2VlZb4rWblypcvlmjBhwmuvvXbjjTcmJiZKkqTRaNq2bTtt2rTHHntMzVyzZk3gNziiMwIAAAAAAAAAog0rygAAAADN0+jRoyVJ8j7jvQmRIiMjo6CgoHv37j7GOXLkyLZt25S4f//+kydPrjWsQqPRTJs2rby8/NixY0KIN95445133qkzUzV06NCxY8fW+aWRI0cWFxdXVFQIITZv3jxp0iTfQ/kp/DMCAAAAAAAAAKIKjTIAAABA8+TxeHwnDB8+fOLEiYmJib7TVqxYocaFhYU+2kckSSooKJg+fboQoqKi4tSpUxkZGT5G/sUvfuFjqNGjRy9cuFAIYbPZLl26lJaW5rtOfwR9xrNnz86ePdt3Tk1NjTLmlStXGlhvDFG6uBwOB/dS7PBu3ZNlmUsfO5Q/T1z0mCLLsvdhTU0N3aixxmw2N7mL7nQ6/U+WZTkoN891VV97iLhdYZoomslCdrlccfGRrMHtcvlOaFp/Ll0ulxDCbre76rtdaDa8H9K73e4m9OOKRlIe0nPRY0qtlxmrq6ub3KM7BEZ9NhcNF91isShBva97+4NGGQAAACBGbd68efPmzaNHj/75z3+u09X91MBqtZaWlirxbbfdZjQafY/ZrVu3hIQEq9UqhNixY4ePRpk+ffr4Hq1Hjx5qHJRGmVDMaLVav/76a985Xbt2FUJ4PJ4Gvd0Sm2RZ5l6KTVz62MRFj1m8gRqDmuJFb9CL77W6wQIWrHHqn0iEaaIoF7Y7POACmuJjJI/HE5T3rtDkNMUfVzQeFz1mNcVHd2ikaLjowf0/h0YZAAAAoHlat26dVqutddLj8ZjN5sOHDy9btuzIkSNCiLVr1+7evfvVV181GAxXD6Lso6QYPHhwvZNKkpSTk1NSUiKEOHjwoI/MW265xfdQycnJalxVVVXv1PUK/4wAAAAAAAAAgGijiXQBAAAAAEKizsUwNRqN0Wi8+eab58yZM2HCBOXk0aNHX3nllToHOXXqlBpfd911/syrriJz6NAhH2nt2rXzPU58/A/LoDscDn+m9i38MwIAAAAAAAAAog0rygAAAACxSJKkMWPG7Nq1a9++fUKIPXv2HDhwwHvvIcXJkyfV+Mknn9RoNOI/K4TLsqwGQgiPx6ME6iblJpNJluVrbV6r1+uDfqN8C8WMCQkJAwYM8J1z6dIlIYRWq/VuxEEtbrfb7XZrNJpr7QKG5ke56EosSVJcXFxk60HYeDwel8vFRY8ptfZiiIuLi/je9ggbpfm4KV505XGvn4J16zThupckSSMEm+MIjSbCP5b1/uRIktSEnkS4XC6Px6PVaq9e2RTNlXLRlZhHdzGFh/QxSLno6mFTfHSHwKjP5qLhogd3+ydeggQAAABilCRJDz744MyZM5XD4uLiqxtlrFarGttstvAV10S0b99+3rx5vnMmT54shNDr9S1btgxLUU1STU2N2+2Oi4szGo2RrgVhYjab1f9hJEniFyR2OByO6upqIQQXPXY4nc4rV66oh0lJSbRFxo7KykohRGJiYpN7I606Ls5af9a/Bes9g7C1F2i1rDQvJCFptRH+v0hb33+GTesxUnV1tcPhiI+PT0pKinQtCBOTyWS325VYq9U2oR9XNJLNZqupqdFoNFz02GG3200mk3poNBob1FWMpsvj8SgfAoyGi64+Wg5KJfwEAwAAALErKytLjXfs2KEsCeON97EAAAAAAAAAAM0Jr3oDAAAAsSsxMdH70Gq11jqTnp6uxitXruSjgQAAAAAAAACAJo0VZQAAAAD8m7LjrLfOnTurcUVFRXjLAQAAAAAAAAAgyGiUAQAAAGKXxWLxPtTr9bUSvPdm2rVrVxhKAgAAAAAAAAAgdGiUAQAAAGLXsWPH1DgpKclgMNRKSE5O7tGjhxKvWrXK5XKFrTYAAAAAAAAAAIKORhkAAAAgRsmyvGLFCvXwpz/9aZ1pEyZMUAKr1bp48eJwVAYAAAAAAAAAQGjQKAMAAADEqHXr1u3bt089vOeee+pM69Wr16BBg5R448aNRUVFbrfb98iVlZVLly41m83BKhUAAAAAAAAAgKDQRboAAAAAAOEjy7LVav3uu++WLl168OBB9fzPf/7z9PT0a31XYWHhd999d/bsWSFEcXHxZ5999tBDD/Xt27dVq1bx8fFCCI/HY7VaKysrDxw4sGnTpqNHjwohRo0aFfobBAAAAAAAAABAA9AoAwAAADRPo0ePliTJ+4wsyx6P5+rMvLy8cePG+RhKr9fPnTt31qxZZWVlQoiampqFCxcGt1oAAAAAAAAAAMKARhkAAACgeaqzJ6aW9u3bT5s2rXfv3vVmGgyG2bNn79y5c968eVeuXPGRKUnSsGHD7r77bqPR2IByAQAAAAAAAAAIPRplAAAAgBii0+nS09OzsrK6d+/et2/fjh071lp1xgdJkvr3779kyZITJ07s3Lnz8OHD5eXlVVVVQoi2bdtmZGR07dq1d+/e2dnZcXFxobwRAAAAAAAAAAAEiEYZAAAAoPlYtWpVqKeQJCkzMzMzMzOA723Xrt369ev9TDYajfUmGwwG3zlBnxEAAACxwHjbj+MzM/zNvq6FpHE3ftKbW2Skp2kbP0697NUturcM1eBPaSTHf+JuPVr/bGxOqGZqnOzW2kSd0GvTI1iD3Mac+9zPfSTEJSWErRgAAICYQqMMAAAAAAAAAAA/SP6fweGftJ8Q/cI/a7A97dUo071X2zEP3hTJaqKb8VbR4dafRLoKAACAWKSJdAEAAAAAAAAAAAAAAABAOLCiDAAAAAAAAAAAQgghZPlK+alIFxEIvUGjkcI9qRyn1aYbrvXVGpPj7OnqWiftBp0U9jqDyJDgCvh7NZKcLLvi3c6GfVtCK6GND3hSAAAAXI1GGQAAAKB++fn5NpvN+0xRUVFqaqqf3z5z5sz9+/d7n3n99devv/76oNUHAAAAIBg8LvfaHo9EuopADHog23n6bJgn1edkJL5+43+dktxquGXzkUvHPqz1LfsHdPIIOQy1hUKbltrMG08H/O1ZxtQx+kvdDn7eoO/SDH5GtL4h4EkBAABwNbZeAgAAAOrnvsoXX3zh5/dWVVWVlZXV+vaQVgsAAAAAAAAAAOpEowwAAAAQiA8++ECW/foc5JYtW0JcCwAAAAAAAAAA8AuNMgAAAEADaDQaSZKEENXV1UePHq03X5blDz74QInj49lXHgAAAAAAAACASKJRBgAAAGiAxMTEvLw8Jf7oo4/qzf/uu++qq6uFEBqNZsSIEaEtDgAAAAAAAAAA+ESjDAAAANAwar/LZ5995nA4fCerzTTDhw9PT08PbWUAAAAAAAAAAMAnGmUAAACAhsnKykpNTVXi0tJSH5l2u/3zzz9X4jvvvDPklQEAAAAAAAAAAJ90kS4AAAAAaGIkSRo7duzixYuFEB988MGPf/zja2WqbTSpqamZmZn79u1r6FwVFRXbt28/cODAwYMHzWazwWDIzs7u2bPnj3/84w4dOgRWv9vtLisr2759+/79+y9cuOByuXr27PnKK6+EdHaPx3Po0KHdu3cfPHjwu+++s9lsRqOxW7duN91006233tq6deuwDRKKuxQAAAAAAAAA0FTQKAMAAAA02JAhQ5RGmSNHjly8eDEtLa3OtNWrVyvBuHHjJElq0BRXrlx5/fXXy8rKvE86HI7S0tLS0tIlS5Z06dLl2Wefbdu2rY9Bzp8/P2XKFCV++eWXc3JyysvLX3755erqau80p9MZitkVsix/9tln77zzjtVq9T5/8eLFixcvfv311wsXLuzXr9/jjz/erl27kA4SxBsFAAAAAAAAAGii2HoJAAAAaLDk5ORevXop8f/93//VmVNZWXn06FElHjx4cIPGLysre+SRR2q1dNRy9OjRRx99dPv27T5yZFl2/4cQorS09Omnn67VJRO62YUQZrN5+vTp8+bNq9XgUktpaenjjz8e0kGCeKMAAAAAAAAAAE0XK8oAAAAAgRg7dqyyldLatWvHjBlz9YIxn3/+uRLk5OQkJyf7P/KxY8dmzpypHubm5k6YMCEzMzMuLs7lcp0+fXr58uVff/218tXXXntt1qxZubm59Q67a9eudevWCSG6dev2yCOPdOvWLSEhQZblCxcueLeGBHF2q9VaUFBQWVmpHBoMhvvuu2/QoEFpaWk6nU6WZZPJdOLEiU8//XTLli3XKjsog4ToLgUAAAAAAAAANDk0ygAAAACByM3N1Wq1bre7pqbm8OHD2dnZ3l/1eDxKV4oQYsyYMf4P63a7X3rpJfVw4sSJ9957r3oYFxeXlZU1c+bMTz755K233lJOvvLKK8uWLYuPj/c98tq1a4UQo0aNmjhxotrWI0lSu3bt1AqDO/ucOXPUBpfc3Nzf/va3iYmJ6lclSUpOTs7JycnJyfnFL36xYsWKOstu/CChu0sBAAAAAAAAAE0OjTIAAABAIHQ63YgRIzZs2CCE+Mc//vGrX/3K+6uHDh2yWCxCCK1W26C1Sf75z39evHhRiYcPH+7d0uEtLy/v/Pnzq1evFkLYbLY1a9bk5+fXO3hubq53l0xIZ9+7d29JSYkSd+vW7cUXX9RqtdeaNzk5+Yknnrj6fFAGCeldajKZtm3b5jvH4XAIIVwul91ur3fAmKXsDubxeLiXYody0RWyLHPpY4fL5VICLnrs8P59F0I4HI5aZ9DsOZ1Oj8cT6Sr85XG6Il1CgGRZjpFJI6iRN1eWZbnhvwtOp9PTFP5oKr/mbrebP/Gxw/v/dh7SxxTlIT0XPaaoz+MUDofDxwuMaE7UB3vRcNHV/3OC8hCURhkAAAAgQHfccYfSKLNly5apU6caDAb1S+vXr1eCu+66y0dvx9Xee+89NZ44caKPzPvvv3/dunXK09Q1a9bcf//9Go3G9+BTpkzx/XwmiLMvX75cjWfMmNGgOyG4g4T0Lq2oqHj++ed953Tt2lUI4XA4TCaTv0XHKqfT6XQ6I10FIkDZRi3SVSCsuOixTGkmRkxpWhe96TbKRKQbqQm1QAVFI9+V8bjdroZ3ClosFmdck/mj6XA4lI8KINa43W4e3cUaj8fDRY9ZNTU1kS4B4RYNF119WhGURpl6XvYFAAAAcC2dOnVq06aNEu/cuVM9b7FYtm/frsTDhw/3f8DKysqKigolHjp0qPceQ1eLj4//2c9+psQOh+PYsWO+B2/btm3Hjh3DM7vJZNq3b58S9+nTp127dr5rq1NQBgnpXQoAAAAAAAAAaHJolAEAAAACJEnSuHHjlFjZskfx1VdfKUHbtm07derk/4AnTpxQ40GDBtWb/6Mf/UiNjxw54jt58ODBYZvdu8Vk2LBh9Q5Vp6AMEtK7FAAAAAAAAADQ5NAoAwAAAARu4MCBSnDs2DF15ZJVq1Ypwbhx4xq0devp06fVuEOHDvXmey+ycvz4cd/JGRkZYZvduz0lKyur3qHqFJRBQnqXAgAAAAAAAACaHF2kCwAAAACaMKPRePPNN3/zzTdCiM8///yBBx44e/bsmTNnlK+qbTR+Onv2rBq3bNmy3vykpCQ19u4IqVNqamrYZlfvASFEcnJyvUPVKSiDhPQuFUJkZmZ+8sknvnN+85vfCCESEhJatWpV74Axy2w22+32+Pj4Fi1aRLoWhInFYrHZbEqs0WhSUlIiWw/Cxul0mkwmSZLq/cOEZsPlclVXV6uHLVu21Ol4TTJWXLp0SQhhNBrj4uIiXYu/PE5XpEsIkEar9YR9Uq1WG/Y5I0mjacAHIa6m1WnjdA3+XTAajaIpPJUwmUxOp9NgMPje8RbNSU1NjcPhUGKdTufPk240D3a73Ww28zwupjgcjpqaGvUwJSVFo2E9jpjg8XiqqqpEdFx0vV6vBEGphCelAAAAQKPce++9SqNMcXHxfffdp7ZN9OvXr6Fv+TudTjX25w0k76cEdrvdd3K9AwZxdvWVMiFEwG+KBGWQkN6lQgitVltv+4uyqpAkSRF/MhnNuJdiUK0Ft7j0sUO99Fz02HH17ztXP9Y0sYvehEr9b43q4ECYSAFcJ41G0yR+LHlIH4N4SB+z+H2PQTykRzRc9OAWwE8wAAAA0Cg33nhjfHy8EMJisZSWlm7YsEE5f++99zZ0KO92ELfbXW++x/PDR0bVhvqABXF25Q5ReLeqNEhQBonsXQoAAAAAAAAAiDY0ygAAAACNotVqR44cqcSvvvqqsg6KXq/v2bNnQ4dKT09XY5PJVG++2WxW4w4dOjR0utDN7n3ovdVCgwRlkMjepQAAAAAAAACAaEOjDAAAANBYeXl5SuByuZTg7rvv1mq1DR2nU6dOanzmzJl688+fP6/GmZmZDZ0udLNfd911anz8+PHA6gnKIJG9SwEAAAAAAAAA0YZGGQAAAKCxOnTo0L59e+8zw4YNC2Ac79aQHTt21JtfUlKixl27dg1gxhDNnpWVpcafffZZYPUEZZDI3qUAAAAAAAAAgGhDowwAAAAQBOPGjVPjjh071uqb8VObNm1at26txJ988onNZvOR7HQ6169fr8Tx8fFdunQJYMYQzW40Grt3767EpaWl3su0+C8og0T2LgUAAAAAAAAARBsaZQAAAIAguP3229f/x4IFCwIe5/7771cCWZZXrFjhI3PdunV2u12J77nnHo0mCI/tgzj7+PHj1XjOnDkejyeAeoIySGTvUgAAAAAAAABAVOGVXwAAACCK3H777ampqUpcXFy8efPmOtO2bt26bNkyJdbr9d7r2UTJ7Dk5Of369VPigwcPzp4928dqLmaz+d133w3RIJG9SwEAAAAAAAAAUYVGGQAAACCKaLXa3/3ud+rh22+//corrxw/ftzlcgkh3G73qVOn5syZ88c//lHN+c1vfmMwGKJw9qefflrtUCktLZ04ceKGDRsqKyvdbrcQQpZls9l86NCht99+Oz8//8MPPwzRIJG9SwEAAAAAAAAAUUUX6QIAAAAA/Jdu3bq99NJLL730krLT0Ndff/31119fK/lXv/pV3759o3P2xMTEt9566ze/+c3JkyeFEGazefHixYsXL25QPUEZJLJ3KQAAAAAAAAAgerCiDAAAABB1+vTp89e//rV79+4+cq677rpFixb95Cc/iebZjUbjvHnzJk2apNP56tHPzc2dP39+SAeJ7F0KAAAAAAAAAIgSrCgDAAAARKPU1NTXX3/9woULX3755f79+w8cOFBTU5OYmHjDDTf07Nnzxz/+cadOnZrE7BqNZtSoUXffffeePXt27969f//+48ePOxyOVq1ade3aNTc399Zbb23btm0YBonsXQoAAICmIum6eh5YRidNckqcyxXmSXUpKVqpxbW+mpAYl9YmqdbJdi31nhBXFTqpLTSt9LVvkf9axMXHafUiMa1h36bhfRwAAIAgk2RZjnQNAAAAANBsTZ48edeuXVOnTp00aVKka4leNTU1NptNr9cbjcZI14IwMZvNVqtViTUaTatWrSJbD8LG4XBUV1dLkpSW1sC3CdFkOZ3OK1euqIcpKSm+V4lDc1JZWSmESE5OjouLi3QtCJOkpCSLxaLEzz333KxZsyJbD8Kmurra4XAkJCQkJQXeS4SmxWQy2e12JdbpdCkpKZGtB2Fjs9lqamq0Wm1qamqka0GY2O12k8mkHrZq1UqjYeOamODxeC5duiSi46KbzebbbrtNCLFq1aouXbo0cjR+ggEAAAAAAAAAAAAAABAT+PQGAAAA0KzYbLb8/HwlLigoGDp0aPObEQAAAAAAAACAwNAoAwAAADRMfn6+zWbzkZCYmNipU6fOnTvffPPNN954Y2JiYthqU7jdbiXweDzNdUYAAIAo948fFwivh0bdh3bWXjpfZ2Z87476SZnhqqsBNp1MO2m2NmYEl8slhNBqtZIkBakoRDuX/MOP/fq9F44vKY1gMc1YTqe4vjecDekU7d3aG45+5X9+gtttkGWNRuOJ9L4MkaXp97hokR7pKgAAQD1olAEAAAAaxu12q30hdTKZ4rp2uwAAIABJREFUTAcOHDhw4MDHH38shBgxYsQjjzxiMBjCVSAAAAAir7LkgOyR1cOuvVo4jhyuM1NK12o8CeGqqwHOWvTHTFWRrgJNjEf+4ce+wuzYd7Y6gsU0Y62MLTrbL4Z0imSRJC5/73++NnSlNC1uR6QrAAAA9Yvpxl4AAAAgDD7++ONHH330ypUrkS4EAAAAAAAAAIBYx4oyAAAAQODWrVun1f7XB+dkWXa5XBcvXvx//+//LVu2TFltvrq6esaMGQsWLNDE9hrUAAAAAAAAAABEFo0yAAAAQOAkSbr6TFxcXLt27UaPHj106NDJkydbrVYhxNmzZ0tKSn70ox9FoszQMhgM69evj3QVAAAAAAAAAADUj8+zAgAAAKGSkpJSWFioHn7xxRcRLAYAAAAAAAAAANAoAwAAAIRQTk6OGpeVlUWwEgAAAAAAAAAAwNZLAAAAQAglJiaqsd1u9/O73G73vn37vv322/379584ccLlcqWlpeXk5Nx000233HJLfHx8ECt0u907d+4sKSnZvXt3VVVVampqdnb2wIED+/fvH9yJQs3tdn/77bdbt249cODAxYsXk5OTe/bsOWzYsNzc3Kt3yLp06dIXX3xRUlJy/Phxp9PZuXPnW265JS8vLzk5OSLFAwAAAAAAAADCg0YZAAAAIISsVqsad+zYsd58WZY3bdpUVFRUq6vmzJkzZ86c2bx5s1arffzxx++4446rmz8CUFZW9vvf/95sNqtnKioqKioqtm/frtfrn3322T59+hw+fHjGjBnKV+fPn9++fftag9hstvz8fCUuKCgYOnTo1RNt27btT3/6kxIvX77cu3+ozqqef/55JV60aFGbNm1qJZw/f37KlClK/PLLL+fk5Bw9evT555+vrq5Wcy5evLht27Zt27ZlZmb+/ve/NxqNynm32/3OO+989NFH3gMePHjw4MGDS5cuLSgoGDZsmI/aAAAAAAAAAABNGlsvAQAAACG0f/9+Nb711lt9J1ssll//+tcLFizwsfaM2+1esGDBrFmz3G53I2vbsGHDzJkzvbtkvNnt9hdeeGHLli3KpApZlq9VlcLj8dSZIMuymuNPbb5nrDVaWVnZU0895d0l4+348eOFhYUOh0MI4XK5nnnmmVpdMt7mzZv36aef+lMhAAAAAAAAAKApYkUZAAAAIFRMJtPcuXPVQ99Lldjt9sLCwvPnzyuHbdq0efjhh3v37t2yZUtJkux2e3l5+eLFi48fPy6EKC0tnTNnjrrQSwB27dq1ePFi9fDOO++855570tPTNRqN3W7/7rvv3n333SNHjvzpT38aM2ZMwLOEwe7du9esWSOE6Nev30MPPZSRkREXF+d0Oo8ePfrGG2+cOXNGCFFZWfnuu+8+8cQTc+bMKS8v1+v1kyZN+tGPfpScnCxJUnV19aZNm5YvX64MOG/evAEDBrRo0SKStwoAAAAAAAAAEBqsKAMAAAAEmdvtrqys/Pjjjx999FGTyaScnDp1auvWrX1815tvvql2yYwYMWLRokVDhgxJSUnRaDSSJBkMht69e8+dOzcvL0/J+fLLL8vKygKr0Ol0vvbaa+rhrFmznnjiiQ4dOmi1WmWuXr16zZkzZ+TIkUIIpQ0laq1evdrj8UyZMuX555/v2rVrfHy8JEnx8fHdu3d/880327Ztq6Rt3Lhx5cqV27dv79ChQ1FR0Z133pmamqrct8nJyffff//06dPVMTds2BChWwMAAAAAAAAACC1WlAEAAAACN3r0aEmSvM9cvbVQRkZGQUFB9+7dfYxz5MiRbdu2KXH//v0nT55ca1iFRqOZNm1aeXn5sWPHhBBvvPHGO++8U2emb5s3b7bZbEo8bdq03Nzcq3MkSXrssce+//77ffv2NXT8MLvzzjtHjBhx9fn4+PipU6e++OKLyuHKlSuFEP/7v/9rNBqvTh4yZMiyZcuUXqWPP/44Pz8/hBUDAAAAAAAAACKERhkAAAAgcB6Px3fC8OHDJ06cmJiY6DttxYoValxYWOij90WSpIKCAmX5k4qKilOnTmVkZDSkZCGEWL16tRK0aNHi9ttv9zHX5MmTn3zyyYaOH2YPP/zwtb504403eh+OHj06NTW1zkxJku66666ioiIhxJUrV0wmU539NLUcPXr0/vvv953TpUsXIYTFYqmsrKx3wBhnt9vtdnukq0AEeDwefkFijSzLXPSYVVVVFekSIsPlcmmv9SW3Wx/WWvzldtVuAQcQJVxOZ6incLpCPkWzVFVV5XImRLqKCHC5XDy6izXKgsqRrgKRcenSpUiXgHCLhotusViUoN7X5P3B1ksAAABACG3evPmBBx7429/+5nK5rpVjtVpLS0uV+Lbbbqu3P6Nbt24JCf9+3W3Hjh0NLamysvLy5ctKfO+992q113rLRgghsrKy0tLSGjpFOPXr189HH1J8fHx6erp6+D//8z8+hsrOzlZj/9/Dk+vj5zgAAAAAAAAAgDBgRRkAAAAgcOvWrbu60cTj8ZjN5sOHDy9btuzIkSNCiLVr1+7evfvVV181GAxXD6Lso6QYPHhwvZNKkpSTk1NSUiKEOHjwYENr9p6uT58+9eYPHjy4uLi4obOETd++fX0ndOjQQdlQSQjRvn17H5nJyclqXFVVFcBSPQAAAAAAAACAKMeKMgAAAEDg6twjSaPRGI3Gm2++ec6cORMmTFBOHj169JVXXqlzkFOnTqnxdddd58+8ag/HoUOHGlaxEKdPn1bjNm3a1Juv7BwUtbwXjKmTut6MXq/X6Xx9VECv/2HTA2foVzIHAAAAAAAAAIQfK8oAAAAAoSJJ0pgxY3bt2rVv3z4hxJ49ew4cONCjR49aaSdPnlTjJ598UqPRCCGULXvUvXuUfz0ejxK43W4l32QyybJcZ7/OtajLqwivJhIfonzrJe/uljop96cQos7lfBqpVatWhYWFvnM+++wzIURcXFxSUlLQC2g27Ha7y+XS6XT1XlA0Gw6HQ+1IkyTJn/+O0Dy43W6bzcZFjynKRVcPExIS1L/OMcXHrY7aOyRqCwOg8bmFblBoNSGfollKSEjwxMxTP+V5nBJrNBp1k2g0ey6Xy263c9FjinLR1cPExMQGvRqJpkuWZYvFIprjRadRBgAAAAghSZIefPDBmTNnKofFxcVXN8pYrVY19n4bKUQcDoca+/PmR7NpXAjFOz0pKSnjx4/3nfPll18KIeLi4nj9yAe32+1yubRaLfdS7PB4PN6NMlz62OFwOJQ/dlz02OF0Or0f4dS7xltzpdFo5Gt9KVpfcZY0UVoYgDD0sdEqFxi9Xi9i5kGOy+WiUSY22Ww2u93O87iYYrfbvRtlDAYDfyZihMfjURplouGiezweJQhKJfwEAwAAAKGVlZWlxjt27FCWhPEW5veK4uLi1Fh9duGDd2MNAAAAAAAAAABNWix+egMAAAAIp1pbS1it1lpn0tPT1XjlypWh3qDHezqr1erdN1OnixcvBreAq1uFalE3lgIAAAAAAAAAILhYUQYAAAAIK3WrEVXnzp3VuKKiItQFdOzYsUHTHTt2rPGTarU/bG9fbx9MZWVl42cEAAAAAAAAAOBqNMoAAAAAoaVs46rS6/W1Erz3Ztq1a1eo68nMzFTj3bt315u/devWxk/asmVLNTaZTL6T9+7d2/gZAQAAAAAAAAC4Go0yAAAAQGh5r8iSlJRkMBhqJSQnJ/fo0UOJV61a5XK5QlpPmzZtjEajEq9bt87j8fhIPnnyZFAWuWndurUaf//99z4yHQ7Hli1bGj8jAAAAAAAAAABXo1EGAAAACCFZllesWKEe/vSnP60zbcKECUpgtVoXL14c0pIkSRo3bpwSV1dXf/HFF9fKlGV50aJFQZm0bdu2kiQp8fr1631kvv/++757dwAAAAAAAAAACBiNMgAAAEAIrVu3bt++ferhPffcU2dar169Bg0apMQbN24sKipyu92+R66srFy6dKnZbA6gqhEjRsTHxyvxn//85wMHDlydI8vykiVL9uzZE8D4V9NqteoNPHjw4Ndff11n2j//+c/Vq1cHZUYAAAAAAAAAAK5GowwAAAAQZLIsWyyWsrKyGTNm/O1vf1PP//znP09PT7/WdxUWFrZv316Ji4uLx48f/9FHH507d87hcCgnPR6P2Ww+fvz4pk2bnnrqqUmTJq1evTqwxVfi4+OnT5+uHj7zzDNFRUUXLlxQRnM4HOXl5c8+++yaNWvEtZt7Gmr8+PFq/Morr6xcubKqqkqWZSGE3W4/fPjwiy+++MYbb2i1WnXBGwAAAAAAAAAAgksX6QIAAACAJmz06NHqjkIKWZbrbF7Jy8vz3f+h1+vnzp07a9assrIyIURNTc3ChQuDW623AQMGTJgwYcmSJcphcXFxcXHx1WkFBQWZmZkffvihcljrxjZIu3bt8vPzV65cqRyuXLlSjb29+uqrDoeDdWUAAAAAAAAAAKHAijIAAABA4Dwej/u/Xd0l0759+9mzZ//yl7+st8vEYDDMnj37ueeeS05O9p0pSVJeXt68efOMRmPAxY8dO/aFF14wGAx1flWr1T777LPDhg3zvkU6XaNa7R944IEpU6Zc66utW7d+++23b7jhhsZMAQAAAAAAAACAD6woAwAAAASZTqdLT0/Pysrq3r173759O3bs6P9CLJIk9e/ff8mSJSdOnNi5c+fhw4fLy8urqqqEEG3bts3IyOjatWvv3r2zs7Pj4uIaX2rfvn1XrFjx1VdflZSU7Nmzp6qqKiUl5frrrx84cOCAAQOUHporV66o+UlJSY2ZTpKkESNGDB48eOvWrTt37jx06JDFYmndunWvXr1+8pOf5ObmarXaxt4kAAAAAAAAAACuTZJlOdI1AAAAAIhea9as+fvf/67EH374YWN2X4pNkydP3rVr19SpUydNmhTpWqJXTU2NzWbT6/WNWSQJTYvZbLZarUqs0WhatWoV2XoQNg6Ho7q6WpKktLS0SNeCMHE6nd59tykpKY1co66pOLf1X96HCS10cdq6X4mVEuO0XaPxL+A5i9bubtQIyqVPSkqKkYsOIURuhyyr5d9/4h998tdPPP1sZOtprpL0clpLZ0in0LucRpvZ/3yz2exyufR6/bVWLY0VKZlCp490EWFiMpnsdrsS63S6lJSUyNaDsLHZbDU1NVqtNjU1NdK1IEzsdrvJZFIPW7VqpdGwcU1M8Hg8ly5dEtFx0c1m82233SaEWLVqVZcuXRo5Gs9PAAAAAPiybds2JcjKyqJLBgAAwE/thvSOdAmNdV2Lxo5Q6dQIIZJbJgdlNUQ0CZL44SlDu//P3p3HR1Wdjx8/d2ayE5IYErZAYthCIKQRoQYEFTUoYgUFkf6+RkUtfKFIW4S2YlVA2kq1dQMK+E1foBElIJu8MBQEUSqEAEIwbCENEEJWQvaZyczc3x+3XqdZJttsyXzef/B67p0z5z733sNkknnmnO4+t/Xjg/POrC0vAmbvynqjUefnJzo2ESkAAIATUOoFAAAAoFmlpaW5ublKfP/997s2GQAAAAAAAAAAOogZZQAAAAAIIYRer585c6YSz58/f8KECbIsr169Wm0watQoF6UGAAAAtEfd2Yt15y46rn9teIDXT3s4rn+7uGnwrjP/17JfFlk+eclRc36YLT8e60pN+cGCC23tYYCoi9CX2TWpDjHXay7uq2i5nXMFDY7oc/9IV2cBAADQWVEoAwAAALhGfX39448/bq/eUlNT/f39W99eluWUlJTHH388MDBQ3Wk2m5XAYrGYzeYPPvggMzNT2ZOYmNirVy97ZQsAAAA4QfW3mSUbPnVc//6T4n0S+jiuf7u4VtPncnWl9R5Zlt74p6Pe29dbFcpkVxRuupTZ1h6m+Ul9r/7Trkl1iOQdfGT+KVdn0VD0z++lUAYAAKDdKJQBAAAAXEYtTHGJHTt27Nix495777333nsjIyN1uh9/Ozh37twnn3xSXFysbGq12jlz5rgoTQAAAAAAAAAA7IZCGQAAAMCj7d+/f//+/Q127t27V411Ot3KlStDQkKcmxcAAAAAAAAAAPZHoQwAAADgGl5eXjt37rTR4ODBg3/961+V+Je//GVSUpJT8vovCQkJL774ovXyTAAAAAAAAAAAdF4UygAAAABuSqPRNBnbhSRJn3766b///e+zZ8/m5OTk5+ffuHGjqqpKp9P16NEjJiYmJiYmMTGRiWQAAAAAtIEsuzoDAAAAoAUUygAAAAAeys/PLzY2NjY21tWJAAAAAAAAAADgJHb+WioAAAAAAAAAAAAAAADgnphRBgAAAOgKZFm+cuXK6dOns7OzL126dOPGDZ1OFxERMWjQoJEjR44YMcLb29vVObaZg05KluUzZ84cOnTo9OnTZWVlfn5+Q4YMGTVq1Lhx4/z9/e1+FgAAAAAAAAAA90GhDAAAANC51dTU/POf/9yyZUtlZaX1fqPReOHChQsXLuzevVuSpLlz5yYlJUmS1Fw/er1+5syZSjx//vwJEyY09+gLL7xwzz33NNnJgQMH3n33XSWWJCktLU2r1TZuJsvyz3/+c71eL4SYMmXKU0895aCTKioqmjNnjhIvW7YsLi6usLDwlVdeKSwstO4zIyMjIyNj9erVCxcuHD9+fHO9AQAAAAAAAAA6O5ZeAgAAADq3xYsXp6SkNCgoaUCW5VWrVi1dutRisdhoZv5B42a+vr59+/ZVHv3666+b6+Hrr79WOzGZTPn5+U02KykpqampUZqNHDnScScly7KajxAiJydn9uzZ1lUyDRq/+eabe/bssXFQAAAAAAAAAECnxowyAAAAQFcQGRn58MMPDx06NDQ01M/PTwhhNpvLy8szMjI2bNigzN1y4sSJ1NTUJ598sn2HuPvuuzdu3CiEyMzMNJvNjaeKMZvNmZmZ1ntOnjwZGRnZuKszZ86o8cCBA51zUmfOnElLS5NlOSYmJjk5OTo62s/PT5bl0tLStLS09PR0pdmaNWsSExODg4Nb7BAAAAAAAAAA0OkwowwAAADQuY0cOXL16tXvvfdeUlJSv379/P39JUmSJEmn04WFhT300EMffvjh0KFDlcZpaWnl5eXtO9Btt92mxlevXm3coPH8MQcPHmyyq2+++UYJIiMjfX19GzdwxElt2rTJZDIlJye/8cYbw4cPV/rUaDTh4eHz5s17/vnn1ZZbt25tsTcAAAAAAAAAQGfEjDIAAABA5zZr1izbDXx8fF599dWnnnrKYDAIIb744ouZM2e240DWc8OcPHkyKiqqQYOTJ08qQVJS0t69e4UQubm5er2+QSmM9cQzd999d5PHctBJTZgwYdq0aU0+NHny5O3bt5eUlAgh0tPTZ82aJUlSix0WFxevWrXKdpva2lohhMFgqKqqarFDj2UymYQQ9fX1XCXPodx0hSzL3HrPoayXx033KA0WSaytrW3ND1l0JbW1tRqNa76xaTQaHdq/xWx2aP92YbF0giStmd3sqlpk2dUpNMEN3zkr7+6MRqPtBX/RlVi/pTebze42JuE4ygu1xWLhpnuOBq/t1dXVvKX3EPIPb4Tc4aYrf2UVjQZk+1AoAwAAAHR9/v7+jz766KZNm0QHCmW0Wm18fPypU6eEEAcOHJg6dWqDBur8MRMnTiwpKVHqZi5dujRs2DDrZtaz0VjPUtNW7TipZ599trmHJEl69NFH165dK4TQ6/U3btwIDQ1tscPq6urdu3fbbjNgwAAhhNlsVmp6YIPFYuEqeSZZlrn1Hoib7rEcXbgAN1RfX++qQ1t/iOsI7lhA0YjslnUeNrhbmYV7XkC3fedsNpvdrdQJzsFbeg/ETfdkvKX3QO5w0+37msPSSwAAAIBHSEhIUILy8nK9Xt++TsaPH68EeXl5DTrR6/W5ublKHBUVdeeddyrxsWPHGnTy3XffqXH//v3bl4miTSeVkJAQGBhoo4G6lpMQ4saNGx1JDAAAAAAAAADgniiUAQAAADxCUFCQGldUVLSvk7i4ODXOycmxfkitkhk2bJiXl5fa8sCBAw06USeeSUhI0Gq17ctE0aaTGjVqVOt7u3nzZkcSAwAAAAAAAAC4J5ZeAgAAALoCWZavXr165syZ77///tq1a4WFhQ3morSewLyysrJnz57tOErPnj29vb2VmTYzMjKGDx+uPqTOHHPXXXdZtywvL6+oqFBrUKwnnlFnnXHOSfXq1cv24by9vdW4lbOJent7Dxw40HYbjUaj/KvT8ftXsywWi8Vi0Wg0yuWCJ1BuurrJfxDPIcuy2WyWJKmDtZLoRJSbrm5qtVqXr20Pp1FWPnLhTeethRBCdLb/cRo3S9i9svmBJEnu9vaJt/QeyPotPe/uPApv6T0Qb+k9mfKW3h3eeNg3B9efDwAAAIAOOnbs2Nq1a4uLi1vZvt1rykqSNHbsWGWSmAMHDsyaNUt9SJ0nZsSIEQ1anj179o477lAevXTpkvoU6/lpGrP7Sfn4+LSyq9aLiIj45JNPbLeZPXu2EMLX1zc4ONjuCXQZ1dXVer3ey8vL9vJY6Epqamrq6uqUWKPR8B/EcxiNxsrKSiEEN91z1NfXW0/8FhgY6A5/Y4VzlJaWCiG6devm5eXlkgTqfX2rHNl/p/iAUKvpBEla07rZS4R7ln14e3u720/SyspKo9Ho4+MTEBDg6lzgJFVVVeq3WbRarbuNSTiOXq+vrq7m9ziPYjAYqqp+fFcVFBTknj8fYXcWi0VZob579+4uv+nq7xR2yYQRDAAAAHRu69atW758eesLSjpozJgxSlBRUaGuT1RZWVlWViaE0Ol0vXv3btDy22+/VZ+emZmpBN7e3jYmgHHySQEAAAAAAAAAPIR7lWYDAAAAaJODBw9+/vnnSqzRaCZPnpyYmNinT5+AgACdTidJkjoPakFBwZw5czp+xJiYGDU+e/ZsYmKiEOL8+fPKnjFjxqhHVFsePnz4V7/6lbJfnXhm7Nixzc3R6vyTAgAAAAAAAAB4CAplAAAAgM7KbDavXbtWibt37/7ee++FhITYaGyXgwYFBYWEhJSXlwsh/vWvfymFMuqcMeosMtYtjUZjUVFRr169KioqlIlnhBDKE5vM0/knBQAAAAAAAADwECy9BAAAAHRWBQUFNTU1SvzCCy/YKCgRQhQVFdnruPfcc48SHD58WJZlWZa//vprZU9sbGyTLU+fPi2sJp4R/z0zjTVXnRQAAAAAAAAAwBNQKAMAAAB0Vvn5+WrcXN2J6vjx4/Y67u23364EJpOpsLCwpKTEYDAIIUJCQoKDg5tsqVTSHDlyRNls3FLlqpMCAAAAAAAAAHgCll4CAAAAOiulPEWh1Wptt0xPT7fXcQcOHKjGp0+f9vLyUuK77rqruZanTp0yGAzqxDONW1qnqsbOPCkAAAAAAAAAgCdgRhkAAACgs+rRo4caX7lyxUbLlJQUk8lkr+P6+vpGRUUp8aFDh7755hslHj16tI2WO3bsUItgRo0a1VznrjopAAAAAAAAAIAnoFAGAAAA6KwiIyPV+P3332+yakSW5U8//XTPnj32PfTdd9+tBFlZWZmZmUpsPdOM6p577lGC1NRUdWeTLRUuPCkAAAAAHSVJrs4AAAAAaAGFMgAAAEBnFRgYOHbsWCW+evXqvHnzTp06pdfrlT21tbWnTp1auHChUqEybdo0Ox76tttua7AnKirK19e3ccuEhAQlkGVZCSIjI/38/Jrr2YUnBQAAAAAAAADo8nSuTgAAAABA+82fP//UqVPV1dVCiOvXr//hD39ostm8efPi4+O3bNlir+P269evwR515pgWW6qz0TTHVScFAAAAAAAAAOjymFEGAAAA6MT8/f3XrFkzePDg5hr4+vq+9tprEydOtO9xtVptg0ll1Jlj2t1S5aqTAgAAAAAAAAB0ecwoAwAAAHRuQUFBf/nLXy5evHjw4MEzZ85cvXpVCBEeHh4bG5uYmJiQkODl5eWI4955550nTpxQNxvPHNNcy8jIyBY7d9VJAQAAoCvxHRwd/NB9juvfe3C4l66n4/q3ixCfbhopzHqPLEtTRgQ56HBZGsnyQ9zXP3hsrwFt7aGPqJM04+ybVUeYzV6Dn+3j6iwaChs91NUpAAAAdGKSLMuuzgEAAAAAuqzZs2cfP3587ty5s2bNcnUu7qu6ulqv1/v4+AQGBro6FzhJTU1NXV2dEms0mltuucW1+cBpjEZjZWWlJEmhoaGuzgVOUl9fX1FRoW4GBwfrdHx5z1OUlpYKIYKCgqhy9hwBAQG1tbVK/PLLLy9fvty1+cBpKisrjUajn59fQECAq3OBk1RVVRkMBiXW6XTBwcGuzQdOo9frq6urtVptSEiIq3OBkxgMhqqqKnXzlltu0WhYuMYjWCyWGzduCPe46TU1NXfddZcQYvPmzdHR0R3sjREMAAAAAAAAAAAAAAAAj8C3NwAAEMXFxSdPnszOzr506VJxcbHFYgkKCurXr19UVFRsbOyQIUOCghw1I3Fjer1+5syZSjx//vwJEyY47dBui2sCaxcvXly8eLESr169unfv3q7NpzUYw9a4GgAAAHAOS51eMJ+6FYtGMnlpnXxMWa537hFVsmS2tNyq1Ux6i1uNJo1Oq/XzcXUWAAAAnRWFMgAAj5abm/v+++/n5OQ02F9SUlJSUnLixInPPvtMCNG/f/+f/exnd955p7+/vxOyMpvNSmCx2PNvOi4xc+ZMvV7f5ENarTYwMPDWW2+Njo4eNWrUwIEDtdpm/2DXla4JOk4dDx1cRbTx+ExJSWn9nLFLlizJzs623rNy5cpBgwY12ZgxbI2rAQAAACfIfe43xvwCV2fhRvKenrRjYDdHH8VoMauxXmQV1qU4+ojNkHqmH7Fjd0c/8r2w7bwdO+yg6J/fe9dHL7k6CwAAgM6KQhkAgIeSZfmTTz7ZtGlTaxpfuXLl/fffT01N3bBhg6PSHCi6AAAgAElEQVQT62LMZrP6iXjjh8rKysrKyjIzMzdv3uzn5zd79ux77rlHkiQnJwmP1Xh8fvXVV1OmTGnNc2/evJmVleWYvAAAAAAAAAAAgKNQKAMA8FCff/65dZVMXFzcY489NmDAgG7dumk0GovFUllZeeXKlYMHD+7fv9+FeTpBZWXlU089pcSLFi0aM2aMS9Koq6t7++239+/fv3TpUp2OtyhwjS1btjzyyCOtqdY6ePCg49MBAAAAAAAAAAB2xqdQAABPVFRUtH79enXztddeu+2226wbaLXakJCQkJCQ+Pj42bNn79q1KzU11elpOo+9FrKxbdu2bdaLK8mybDAYrly5kpqaevLkSWVnVlbWe++99+tf/9pxaQCNaTQaWZZlWa6srMzNzR0wYIDt9rIsb9myRYm9vb2NRqPjcwQAAAAAAAAAAHZAoQwAwBOlpaWp8S9/+csGVTIN+Pr6Tp8+/aGHHtq8ebPjUxO+vr47d+50woGcr8EsHZIk+fr6Dh48eOnSpZ9//vm6deuU/QcOHJg8efKgQYPUll34msBN+Pv7jx07Nj09XQixe/fuF154wXb7S5cuVVZWCiE0Gs2kSZO2b99uuz1jGAAAAIAnKM+7ZtIbXJ0FAAAA0AKNqxMAAMDZZFnet2+fEms0mnvvvbc1z/L393/66acdmJZnmzx58u23365ufvbZZy5MBp5p0qRJSrBv374WZ4jZvXu3EkycOLFnz56OzQwAAAAAOgtHzlMLAAAA2AuFMgAAj1NZWWmxWJR46NCh1osBwYWefPJJNT58+LBDF4ECGouKigoJCVHizMxMGy0NBsP+/fuV+MEHH3R4ZgAAAAAAAAAAwH5YegkA4HHq6urUuHv37vbtXJblK1eunD59Ojs7+9KlSzdu3NDpdBEREYMGDRo5cuSIESO8vb3te0TrQ585c+bQoUOnT58uKyvz8/MbMmTIqFGjxo0b5+/v76CD2lH//v2tNysqKoKDg9vdm9ls/v7770+ePJmdnX3lyhWTyRQaGhoXF/eTn/xk1KhR7bgLZrM5Kyvr8OHD2dnZxcXFJpMpNjZ2xYoVdnmK3bO1zUGj1F4j0Gw2Hz9+/MiRI6dOnSovLw8ODh4yZMiYMWN++tOfOu6/jxBCkqRp06atX79eCLFly5YxY8Y011ItowkJCYmMjPz+++/tnoyrLkLrOXnQlpSUHD58+OzZs+fOnaupqVFWbYuNjR0zZkyfPn3a0WFnf8EEAAAAAAAAALQbhTIAAI+j0/344y8vL89e3dbU1Pzzn//csmVLZWWl9X6j0XjhwoULFy7s3r1bkqS5c+cmJSVJktRcP3q9fubMmUo8f/78CRMmNG5TVFQ0Z84cJV62bFlcXFxhYeErr7xSWFhofdyMjIyMjIzVq1cvXLhw/PjxjfuZO3fu9evXreduWblypUbTxIRzaWlp1tfNEbRarb+/f21trbJZU1OjFsq05pqoZFn+4osvUlJSDIb/Wha9oKCgoKAgPT1dq9X+4he/eOCBB5q7C40v74ULF5YtW9bgztbX13fkKfbKtk3sNUrtNQIbO3/+/LJly6qqqtQ9paWlpaWlhw8f9vHx+f3vf3/bbbe17ZzbYvz48UqhTE5OTllZWWhoaJPN0tLSlGD69OmtvC9tGsOtuQgXL15cvHix8ujq1at79+7doJOvv/76r3/9qxKnpqbaLv7Iysp65ZVXlHjdunVhYWE2Gjt50FZUVKxcuTIrK8t6p9FozMzMzMzM3LhxY3R09EsvvRQeHt5cD44brgAAAAAAAACAzoillwAAHicoKEiNr1+/XlJSYpduFy9enJKS0qD+oAFZlletWrV06VJ17acmmX/QXDNZltU2QoicnJzZs2dbf+jboPGbb765Z8+e5g5kfRTrnq3ZyNY5Wrwmitra2kWLFq1Zs6bBR/gNulqzZs3y5cubO68GlzczM/PFF19s8c629Sn2yrZN7DVK7TUCG9i3b9+iRYusC0SsGQyG11577auvvmqxn3YLCgoaNmyYEh84cKDJNqWlpbm5uUo8bty41nfeyjHc+ougdtjkOmUN7lHr07O96pmTB21WVtbTTz/doEqmgdzc3Oeee+7w4cPNNXDQcAUAAAAAAAAAdFLMKAMA8DheXl4xMTHnzp1TNpcvX/6nP/0pICDALp1HRkY+/PDDQ4cODQ0N9fPzE0KYzeby8vKMjIwNGzbo9XohxIkTJ1JTU5988km7HPHMmTNpaWmyLMfExCQnJ0dHR/v5+cmyXFpampaWlp6erjRbs2ZNYmJiRxYzcjSz2axOJyOEaMcdMRgMCxYsKCoqUjbDwsKeeuqpESNGdO/eXZIkg8Fw4cKF9evXX758WQiRmZn51ltvqXNyNOf48ePbtm0TQgwcOPDpp58eOHCgcnmLi4ub+2C+lU9xRLatZN9Raq8ReObMmXfffVfdvPfee6dNm9arVy+NRqPX63NyctatW3f58uW33nrrscce6+glaN60adOUpZQ+++yzxx57rPGcKPv371eCuLg466o7u3CTi9AcJw/avLy8JUuWqJvx8fHJycmRkZFeXl4mk+natWupqalHjx5VHn3jjTeWL18eHx9vu88u84IJAAAAAAAAAGg3ZpQBAHiin//852qcl5f3P//zPx9++OG1a9dsT6Vg28iRI1evXv3ee+8lJSX169fP399fkiRJknQ6XVhY2EMPPfThhx8OHTpUaZyWllZeXt7R0xBCCLFp0yaTyZScnPzGG28MHz5cOa5GowkPD583b97zzz+vtty6dWuD565du3bnzp0bN25U9yxatGhnUxy97pIQ4urVq9ab7ShBePfdd9WP8CdNmrRu3brx48cHBwdrNBpJknx9fUeMGPHOO+8kJSUpbb755hvbM1UIIT777DNZlqdMmfLWW2+NGDFCvby9evVqrlKhlU9xRLYtcsQo7cgIVJnN5hUrVqibL7/88oIFC/r27avVaiVJ8vPzi4uLe+edd5QVi2z003Hx8fFarVYIUV1dffHixQaPWiwWpQpKCGH3UhX3uQjNceagNZvNS5cuVTefeeaZ5cuXDxo0yNvbW5IkLy+vqKioJUuW/PKXv1TbrFixwmg02u7WLsMVAAAAAAAAANCpMaMMAMAT/eQnP0lMTPz222+VTbPZnJaWlpaWptVqR44cGRcXN3jw4IiIiMDAwNb3OWvWLNsNfHx8Xn311aeeekpZsuSLL76YOXNmu0/B2oQJE6ZNm9bkQ5MnT96+fbuyvFR6evqsWbMaz5Ch0WiajJ0sNTVVjX/60582ztO2nJycr7/+WolHjx49e/bsJnvQaDTz5s27cOFCXl6eEOLtt9/+4IMPbB8rPj7+mWeeaVM+LT7Fcdna5qBR2sERKITYt29fTU2NmuTo0aMbt9FoNAsWLMjLy1NXPnIEnU43adKkXbt2CSE+//zz3/zmN9aPnj9/Xpn3SKvVtjh5SVu5z0VokpMH7ZdffllWVqbEEydOnDp1apPNkpKSioqK0tLShBB6vX7r1q0tjtiOD9cG6urqWqwHMplMQgiz2VxfX99ihx5LWZXMYrFwlTxHg6XouPWeQ12bj5vuOZQfhdabHfmKAjqjBmPAaRhpDcgWLkj7udtwcsN3zsolcsPE4DgN1nPn1nsO5S09N92jNFhjvb6+3oUfJcCZ1LdAJpOpI59N2IX6mmOXN2YUygAAPNTixYvXrVu3Z88e651mszkjIyMjI0PZ7NGjR1JS0oQJE8LDw+1yUH9//0cffXTTpk3CroUyzz77bHMPSZL06KOPrl27Vgih1+tv3LgRGhpql4PaV3p6urqEimjXXB0ff/yxGi9YsMDGOzZJkubPn79w4UIhRElJSX5+fr9+/Wz0PGfOnLa+/2vxKY7LtuPaMUo7PgI/+eQTJfDz83v44Ydt9DZv3jzlajjOAw88oBTKHDx4cO7cub6+vupDO3fuVIKHHnpImXjGjtzqIjTm5EGrXg0hxDPPPGOj5YwZM7Zt26Z89LJ169YZM2bY/i3d7i+Y169fnzt3ru02AwYMEEIYDIaKiooWO/Rw9fX1XCXPZLFYuPWeRpZlbrrHqq6udnUKcDa1ItzJGhRlwmR2TcVS12CxmFtu5ERu+87ZYDAo372BpzGbze45JuE4/B7nyaqqqlydApytsrLS1SkI5Vuswk6FMpR6AQA8lFar/d///d933303ISGhuTalpaUff/zxc889t2zZMnu9CVAPV15ertfr7dKh7Zlv1JV0hBA3btzo+BHtyGg05ubmrlixYtWqVerOsWPHxsTEtKmfurq6zMxMJb7rrrtanApo4MCBfn5+SqxOLNSk8PDwvn37timZFp/iuGztpU2jtOMjsKysTJ07ZMqUKbYLUAYOHNi9e3fbKXVQREREWFiYEh87dkzdX1tbe/jwYSWeOHGifQ/qbhehAScP2tLSUmVaFyHEhAkT/P39bTT29vb+2c9+psRGo1GZyaY5nfoFEwAAAAAAAABgFxTKAAA8WlRU1NKlSz/88MMXX3xx9OjRzX04nZmZmZycnJ2d3fEjBgUFqbFdKu5HjRrV+iPevHmz40dst0cffXSqlZ/97GfTpk371a9+ZT2XzODBg3/961+3tWfrj8bHjRvXYntJkuLi4pT43LlzNlq2pre2PsVx2dpLm0Zpx0eg9QW5/fbbbfcmSdLdd99tu00HSZI0ffp0JVbW9FEcOXJECcLDwyMiIux7UHe7CA04edBeuXJFje+8884W299xxx1qnJOTY6NlJ3rBBAAAAAAAAAA4CEsvAQAggoKCxo8fP378eFmWq6qqCgoKvv/++3379l27dk1tY7FYfve7361fv75nz542upJl+erVq2fOnPn++++vXbtWWFjYYL5Z65mfKysrbffWGr169bLdwNvbW42NRmMHD9cRtme91ul0zz333AMPPNCOxU3z8/PVuH///q15Sr9+/ZQ1ts6fP2+7WVuTafEpjsu2lew7Sjs+AgsKCtS4NcucKavYONTYsWNXr14thMjLyyspKVEmmNm8ebPy6PTp0+2+GqsbXgRrTh601q+9ffr0abG99SC8fPlyK1s2yX1eMAEAAAAAAAAADkKhDAAAP5IkqXv37t27d4+JiXnssccKCwv//ve/nzhxQm3wpz/96e23327u6ceOHVu7dm1xcXErD2eXT2F9fHw63omrBAQEREVFDRw4cPTo0TExMV5eXu3r5+rVq2r8wgsvKKU2yiqVsiyrgRDCYrEogdn8n8XFq6qqZFluru4hJCSkrcm0+BTHZdsadh+lHR+B169fV2Pbi+woevTo0cEjtigwMPC2225T/u/v37//iSeeuH79ulrLMnbsWLsf0Q0vgjUnD1rrq9GaRaYCAgLU2LrIpjFHvGBGRER8/PHHttu88cYbQghfX9/g4GC7J9Bl1NbWGo1GLy8v6xuKrq2urk6t1NRoNE5eVA4uVF9fX1NTI0mS9Txe6NpMJlN1dbW6GRgYaHuhSXQlyix93bp10+lc8Ifoco3G7PyjujGdlo8D2k+jca8XLm9vb3f7/aKmpqa+vt7Hx0ddihddnvJ7nBJrtdoWV2pGl2EwGOrq6vg9zqMYjcba2lp1s3v37u34vis6I4vFUllZKdzjpqsfIdnli6y8MwYAoFm9evV67bXXNmzYsHXrVmVPbm5uQUFBkzMcrFu37vPPP3dugp3Mtm3bHPQH8bq6OjXW6/V27Lkdf8xt8SmOy7ZF7jlKrWtxWvNW2znFYVOnTlUKZbZv3/7444/v3btX2X/77bd369bN7odzz4ugcvKgra+vV+PW/B+0vmINpkdyAm9v78GDB9tuo5yFRqNxyedDnYVyH7lKHqXByx233nOoc9dx0z2HUker0mq13H1P46qbbveZIDs7ScMFaT93G06SJLnba6lyiXhL71Gs/1+44ZiE45hMJsFN9zDql+IUOp3O5TUTcA7rX+FdftPV1xwKZQAAcIYnn3zyyy+/LC8vVzazs7MbF8ocPHhQrT/QaDSTJ09OTEzs06dPQECATqeTJEn9sV1QUDBnzhynJe9WHPdHpc71K5mrsnXbUWq92I3FYmmxmso5lRDDhw/39vZWviqRmZm5a9cuZf/UqVMdcTj3vAgqJw9a68mlGvwS3iTrxcI69SRbAAAAAAAAAAAn6EyfKgEA4BIajWbSpEmpqanK5r///e8GDcxm89q1a5W4e/fu7733no3Fd1rzoS/aqmfPnmq8adMmN1+2wyXZuvMotb4gtbW1La7CUFZW5uCMhBBCq9VOnjz5s88+E0L8+c9/Vr4o4+PjExsb64jDOfQiNPgOd2Mt3nEnD1rrw1VVVbV4uJqaGjVucsYvAAAAAAAAAABUzIkEAEDLIiIi1Nh6CRJFQUGB+jHtCy+8YKP+QAhRVFRk9/Rw6623qnFJSYkLM2kNl2TrzqO0b9++alxcXNxi+9zcXEem86OkpCQlUKpkhBAPP/ywg5YPs/tFsM6zxTqY0tJS2w2cPGitX3ILCgpabG89YiMjIx2SEwAAAAAAAACgq6BQBgCAllVXV6tx45ke8vPz1TgmJsZ2V8ePH7djYnbX4swT7ikqKkqN3fwKCxdl686j1PqCnDhxosX2Bw4ccGA2Vvr06dO7d2/rPffff7+DjmX3i9C9e3c1rqqqst34zJkzths4edD2799fjb/99tsW22dkZKjxgAEDHJITAAAAAAAAAKCroFAGAICWHTt2TI0HDx7c4FGDwaDGtmebMBgM6enp9s2t4zSaH98PqDNndC5BQUFDhw5V4s2bN7v5WbgkW3cepT169FBnuNm2bZvt6U9ycnIqKiqckpcQQkyfPl2N+/bt26Buxo7sfhF69Oihxo0XjLNmNBoPHjxouzcnD9qwsDA1/7179+r1ehuN6+vrd+7cqcTe3t7R0dEOzQ0AAAAAAAAA0NlRKAMA8Di1tbXbt2+vr69vZfuCggLr6Qoaz8Zh/YH0lStXbHSVkpLihjUcvr6+auz+6xY1Jzk5WQnq6urWr1/v2mRa5Pxs3XyUzpgxQwlqa2u/+OKL5prJsrx69WpnJSWEEPfdd9/OH6xZs8ahx7LvRQgPD5ckSYnVOpImffrppxaLpcUOnTxo1ashy/LHH39so+W2bdvUOrBHHnnEuvIPAAAAAAAAAIDG+DsyAMATpaSkzJw5c+vWrbW1tbZbFhYWLl68WN1MTExUZ31QRUZGqvH777/fZJGBLMuffvrpnj17OpC1o+h0uoCAACW2njuncxk2bNidd96pxHv27ElJSbE9J4cQorS09MMPP6ypqXF8dg05P1s3H6VJSUn+/v5KvHbt2pMnTzZuoxSI5OTkODc157HvRdBqteoYO3fu3NGjR5ts9uWXX6alpbUmPScP2vvuu099sd2+fXtzsxwdOnToo48+UmIfHx/rGYAAAAAAOF/IrRE6Xx9XZwEAAAC0gEIZAICHMhqNGzZseOKJJ15//fVvvvnm2rVr6uoesizX1taeO3fu7bff/sUvflFZWansDwwMXLBgQeOuAgMDx44dq8RXr16dN2/eqVOn1N5qa2tPnTq1cOHC1NRUIcS0adMcfm5tN2HCBCU4d+7crl27qqqqZFl2bUrtsGDBAnVlnO3btz/55JO7d+8uLCw0Go3KTovFUlNTc/ny5S+++OJXv/rVrFmz0tLSWjOXRhfI1s1HqU6n+/3vf69uvvrqq2vWrCksLFTO12g0nj17duHChUq1xCOPPOLk9JzD7hfhySefVOMVK1Zs2rTp5s2byn9tg8Fw8eLF11577e2339Zqta2sL3HmoNVqtX/4wx/UzVWrVq1YseLy5ctKjZfZbM7Pz3/rrbfefPNNtc3vfvc76/mxAAAAAAAAAABoks7VCQAA4GIZGRnWKys1JyQk5M0331Tne2hg/vz5p06dqq6uFkJcv37d+vNda/PmzYuPj9+yZUtHEnaEKVOm7Nq1S4nXr1+vrKui0WjUpVvS0tJ0Ond/2+Dj4/POO+8sX748KytLCFFdXb127VpXJ9Us52fr5qM0Pj7+f//3f9Xljfbs2dPk3Dbz58+PiorasWOHc7NzEvtehF69es2cOXPTpk3K5qZNm9TY2p///Gej0diaeWWcPGgHDhy4dOnSpUuXKqU2R48ebW5eHCHEb37zm5EjRzouGQAAAAAAAABAl8GMMgAAj+Pv75+SkjJr1qy+ffu2pr2fn9/zzz//wQcfhIWF2ehzzZo1gwcPbq6Br6/va6+9NnHixPZk7HhhYWG//e1v1bIYhcViMf/AVYm1la+v7+uvv/7yyy8HBQXZbilJUlJS0nvvvRcYGOic3BpzcrbuP0offPDBP/3pT+pCYA3odLolS5bcf//9Ts7Kyex7EZ544ok5c+Y092iPHj1WrVo1ZMiQ1qfn5EGbkJDwj3/8IyYmxkab/v37r1u37u677273UQAAAAAAAAAAHsXdvxoOAIAj9OjRY8qUKVOmTKmqqrp48eL58+fz8vLy8/OLiorq6+t9fX179+4dERExcODA+Pj4/v37a7XaFvsMCgr6y1/+cvHixYMHD545c+bq1atCiPDw8NjY2MTExISEBC8vL8efWfuNHTv2k08+OXLkyLFjx/Ly8goLC5UlTjodSZJGjx69cePGK1euHDt27OLFixcuXLh586YQIjw8vF+/fgMGDBgxYsTgwYPd4Y44OVv3H6XDhg376KOPjh07duTIkZMnT968eTM4OHjQoEF33nnnHXfc4SEL69jxIkiSNGnSpHHjxh06dOjYsWPnz5+vra3t0aPHsGHD7r777vj4+Na8uDXu05mDNiQkZOXKlcXFxd988012dvbZs2erq6v9/f2HDBkSGxs7ZsyYiIiIjh8FAAAAXZKk00q6Nr/j7cIkIbSSw786KzXccs2XdSUhCY1d775Wo/Fyo89TJC3fggYAAGg/SZZlV+cAAAAAoA0uXry4cOFCJf773//ep08f1+YD22bPnn38+PG5c+fOmjXL1bm4r+rqar1e7+Pj48KJvuBkNTU1dXV1SqzRaG655RbX5gOnMRqNlZWVkiSFhoa6Ohc4SX19fUVFhboZHBzs/uu6wl5KS0uFEEFBQS4vyofTBAQE1NbWKvHLL7+8fPly1+YDp6msrDQajX5+fs1Nkoqup6qqymAwKLFOpwsODnZtPnAavV5fXV2t1WpDQkJcnQucxGAwVFVVqZu33HKLRkPJpkewWCw3btwQ7nHTa2pq7rrrLiHE5s2bo6OjO9gbIxgAAAAAAAAAAAAAAAAegUIZAAAAAAAAAAAAAAAAeASmOQUAAIAdzJw5U6/XW+9JSUlp/fyrS5Ysyc7Ott6zcuXKQYMG2S0/AAAAAB3w3bIPy05ebOuzjEajEEKn07l8nvZOZ8Do3trqm67OorVKnx9b5ycrsUVY1P3H/nX1nT8ddE1OLQnoEXA21Md6T3iwJrDXDXVzxC0+w0Iccgt0Jl23rOyW23U2fiaTj8Wi1WplrfY/uwLCpbgZLk0KAACgaRTKAAAAwA7MZrPZbLbe89VXX02ZMqU1z71582ZWVpZj8gIAAABgByVHs/P3ZLg6Cw/S95bbLTnnXZ1Fa5U9M/RmTY0Sy0JW9xcVVJ04etVFSbWg78DQg2G+1nti+3v7e+Wrm2F+PQZ0z3PEob3koIDrJx3Rs2tphVAKZH4cAcFRkquyAQAAsIlCfgAAADjEli1bZFluuZ0QBw8edHAuTlJZWTn1B//6179cnQ4AAAAAAAAAAGiIQhkAAADYk0ajkSRJCFFZWZmbm9tie1mWt2zZosTe3t6OTc7xzD9oZZEQAAAAAAAAAABwJgplAAAAYE/+/v5JSUlKvHv37hbbX7p0qbKyUgih0WgmTZrk2OQAAAAAAAAAAIBno1AGAAAAdqbWu+zbt89oNNpurBbTTJw4sWfPno7NDAAAAADgMPk51wy1BldnAQAAALRA5+oEAAAA0NVERUWFhISUl5cLITIzM8eMGdNcS4PBsH//fiV+8MEHv//+eyel2MkNGjRo586drs4CAAAAAP4LS9ACAACgU6BQBgAAAHYmSdK0adPWr18vhNiyZYuNQpnMzEwlCAkJiYyMbEehTElJyeHDh8+ePXvu3LmamhpfX9/BgwfHxsaOGTOmT58+7UheluUzZ84cOnTo9OnTZWVlfn5+Q4YMGTVq1Lhx4/z9/dvRYeuZzebvv//+5MmT2dnZV65cMZlMoaGhcXFxP/nJT0aNGuXt7d2OPu11OnbMzWw2Hzt2LCMj47vvvrt582ZISMjgwYPHjh07evTo9p2j2m1WVtbhw4ezs7OLi4tNJlNsbOyKFSsat7T7mAEAAAAAAAAAdCIUygAAAMD+xo8frxTK5OTklJWVhYaGNtksLS1NCaZPny5JUpsOUVFRsXLlyqysLOudRqMxMzMzMzNz48aN0dHRL730Unh4eHM9FBUVzZkzR4mXLVsWFxdXWFj4yiuvFBYWWneYkZGRkZGxevXqhQsXjh8/vsmu5s6de/36detvT65cuVKjaWKd07S0NJ2u4ZtwWZa/+OKLlJQUg+G/ZikvKCgoKChIT0/XarW/+MUvHnjgARtXyY6nY/fcVFlZWX/84x9ramrUPSUlJUrlio+Pz0svvZSQkHDx4sXFixcrj65evbp3794tnumFCxeWLVtWWVlp3ay+vr7BEzs+ZgAAAAAAAAAAnV0Tf7sHAAAAOigoKGjYsGFKfODAgSbblJaW5ubmKvG4cePa1H9WVtbTTz/doOKhgdzc3Oeee+7w4cPNNZBl2fwDIUROTs7s2bOty0oaNH7zzTf37NnT5KNKJxaLpcnOrTV+bm1t7aJFi9asWdOgEqVB/2vWrFm+fHmTPdj9dOyem2LXrl1LliyxrpKxZjAYXn311YMHD4ofrqfZbG5y5vYGZ5qZmfniiy82qJJpzC5jBgAAAAAAACcUgjIAACAASURBVADQ2TGjDAAAABxi2rRpylJKn3322WOPPdZ4upH9+/crQVxcXFBQUOt7zsvLW7JkiboZHx+fnJwcGRnp5eVlMpmuXbuWmpp69OhR5dE33nhj+fLl8fHxtvs8c+ZMWlqaLMsxMTHJycnR0dF+fn6yLJeWlqalpaWnpyvN1qxZk5iYGBwc3PpsbTMYDAsWLCgqKlI2w8LCnnrqqREjRnTv3l2SJIPBcOHChfXr11++fFkIkZmZ+dZbb6mzrTj6dOyb2/Hjx5VJhhQPPvjgI4880rNnT41GYzAYLl269H//9385OTl//etfH3vssVZdux+63bZtmxBi4MCBTz/99MCBA5UzLS4utq53ccSYAQAAAAAAAAB0RhTKAAAAwCHi4+O1Wq3ZbK6urr548eLgwYOtH7VYLEp9gxCiTYURZrN56dKl6uYzzzwzdepUddPLyysqKmrJkiV79+59//33lZ0rVqz46KOPvL29bXS7adMmIURycrJ1TY8kSeHh4fPmzevfv79a5LF169Znn322wdPXrl0rhLh582ZycrKyZ9GiRa2ZJufdd99VK1EmTZr0/PPPa7Va9VFfX98RI0a88847q1ev3rt3rxDim2++efDBB+Pi4mx328HTsXtu9fX1b7zxhrrZoAzF19d32LBhb7311vr16z///POtW7faPjtrn332mRBiypQpzzzzjPWZ9urVSx1XDhozAAAAAAAAAIDOiKWXAAAA4BA6nW7SpElK/Pnnnzd49Pz587W1tUIIrVbbpqk7vvzyy7KyMiWeOHGidcWDtaSkpOnTpyuxXq9vTe3FhAkTpk2b1njmGyHE5MmTw8LClDg9Pb3J9YCEEBqNpsm4OTk5OV9//bUSjx49evbs2daVKNZdzZs3LyoqStl8++23m0vAWgdPx765paen6/V6JZ43b16Td1ySpOeff15dsav14uPjratkGnPcmAEAAAAAAAAAdDrMKAMAAABHeeCBB3bt2iWEOHjw4Ny5c319fdWHdu7cqQQPPfRQkxUYzfnkk0/U+JlnnrHRcsaMGdu2bTOZTEKIrVu3zpgxw3bxSnMTqwghJEl69NFHlWlj9Hr9jRs3QkNDW59zcz7++GM1XrBggY1SD0mS5s+fv3DhQiFESUlJfn5+v379bHfewdOxb25paWlK0K1bt/vuu89GV7Nnz37hhReaPaumzJkzx0Z6wpFjRghx5cqV2bNn226jLG5VV1d348YN2y09mVJiZTQauUqew7quzmKxcOs9h3LrZVnmpnusyspKV6eA9qivr3d1Cp7FZDJ1oi+5ms3mTvedXLPJ3HCP2WS9aXLYmDebGx66qzKZTNX8uO/SrN/Sm0wm3t15DuXWm81mbrrnaPDVuJs3b7oqE7iKO9x05Zu3QgiLxdLx3iiUAQAAgKNERESEhYWVlJQIIY4dO6YuRVRbW3v48GElnjhxYus7LC0tVXoTQkyYMMHf399GY29v75/97GfK0jxGozEvLy86Orq5xgkJCYGBgTZ6Gzp0qBrbpVCmrq4uMzNTie+66y7bRxdCDBw40M/Pr66uTgjx7bff2i6U6eDp2De30tLS8vJyJZ46dartuqioqKjQ0FB1ApgWhYeH9+3b10YDx40ZhclkUvtvTvfu3YUQsizb5Ve4rk2W5dZMmIQuif8gHoib7rG49Z0UP6OdjAvueC1cYcfdAI+6tbzmexRutwfipnssbr0Hcoebbt8cOluZNwAAADoPSZLUtWzUOUWEEEeOHFGC8PDwiIiI1nd45coVNb7zzjtbbH/HHXeocU5Ojo2Wo0aNst1VUFCQGtulfD4vL0+N1RIiGyRJiouLU+Jz587ZbtzB07Fvbta9JSQktNhba47Y+saOGzMAAAAAAAAAgM6IQhkAAAA40NixY5UgLy9PnXhj8+bNSjB9+nTbi+Y0cO3aNTXu06dPi+179eqlxpcvX25lyyZ5e3ursdFobPHQLcrPz1fj/v37t+Yp6kwt58+ft92yg6dj39ys71pYWFiLXbU4iUuTx22O48YMAAAAAAAAAKAzYuklAAAAOFBgYOBtt9124sQJIcT+/fufeOKJ69evFxQUKI+qZTStdP36dTVWlrOxLSAgQI2tCyYa8/HxaVMmHXf16lU1fuGFFzQajfhhfnV19RnlX4vFoq79rLSvqqqSZdlGjVEHT8e+uRUVFamx7ZWPFG1a1iokJMR2A8eNGUVQUND/+3//z3abkydPCiF0Op2fn1+LHXqs+vp6k8mk1Wqtq7jQtSk3XYklSfL19XVtPnAas9lsNBq56R7FYrEYDAZ108fHR3l3gc7F9gKasDuNpjNd8DZ9/8FNSI1eiBrscdwrlaYTXq720Wg0/BLUtRmNRvWvARqNxvl/WoGrmEym+vp63tJ7FOX3OHXT19e3M/70RzvIsqzX64V73HT7Lk5KoQwAAAAca+rUqUqhzPbt2x9//PG9e/cq+2+//fZu3bq1qav6+no11ulafitr/ZdN649n3EFdXZ0aK79suA/75mb9W3Rr/tbcpr+stTgMHD1mQkNDf/3rX9tuM3v2bCGEt7e3dRUOGqiurjaZTDqdjqvkOWpqaqwLZbj1nsNoNCo/GrjpnqO+vt76p6qfn19rfijD3VAo42Rarcbi6hxarzNWvzXOWSP91x7HjfnOeLnaR6PR8OO+a7NYLNaFMtxuz6HX6+vr67npHsVgMFj/ic/f399zfpx5OIvFovx92K1uul0ycZeTAQAAQFc1fPhwZYqI2trazMzMXbt2KfunTp3a1q68vLzUWP1bjA0Wy49/W3a3Lza58+dD9s3N+q5Z35Hm2GVlqyaP3tnHDAAAAAAAAACg49z3r/MAAADoGrRa7eTJkz/77DMhxJ///Gdl/gAfH5/Y2Ni2dtWzZ081rqqqavFrKzU1NWrcp0+fth7OoazPZdOmTW71FRz75mbdW11dnXXlSpPKyso6cjgbR+/sYwYAAAAAAAAA0HHMKAMAAACHS0pKUgJ1lY2HH364HRNZR0REqHFBQUGL7YuKitQ4MjKyrYdzqFtvvVWNS0pKXJhJY/bNrW/fvm3qLS8vr4NHtNaVxgwAAAAAAAAAoOMolAEAAIDD9enTp3fv3tZ77r///nb0079/fzX+9ttvW2yfkZGhxgMGDGjHEdtNlmXbDaKiotT4+PHjjs2mjeybm3W5yXfffddi+0OHDnXwiNY60ZgBAAAAAAAAADgBhTIAAABwhunTp6tx3759G9TNtFJYWFiPHj2UeO/evXq93kbj+vr6nTt3KrG3t3d0dHQ7jtgmGs2P767VuXOaExQUNHToUCXevHlzi+2dyb65hYWFBQYGKvG2bdssFouNxlevXrXv/DpuPmYAAAAAAAAAAE5GoQwAAACc4b777tv5gzVr1rS7nxkzZiiBLMsff/yxjZbbtm0zGAxK/Mgjj1hXsTiIr6+vGrem2iM5OVkJ6urq1q9f76i02sWOuUmSpJZJVVZWfvXVV821lGV53bp1HTlWk9x5zAAAAAAAAAAAnIy//AIAAKAzue+++0JCQpR4+/bt6enpTTY7dOjQRx99pMQ+Pj7W89k4jk6nCwgIUOJjx4612H7YsGF33nmnEu/ZsyclJcVsNtt+Smlp6YcfflhTU9PBVJ2c26RJk7y9vZX4b3/729mzZxu3kWV548aNp06d6ljiTXDnMQMAAAAAAAAAcDIKZQAAANCZaLXaP/zhD+rmqlWrVqxYcfnyZWV5ILPZnJ+f/9Zbb7355ptqm9/97nfWc7041IQJE5Tg3Llzu3btqqqqkmXZRvsFCxaoq1Bt3779ySef3L17d2FhodFoVHZaLJaamprLly9/8cUXv/rVr2bNmpWWlmZ79SJ7sWNu3t7eCxcuVDd/+9vfpqSkFBcXK42NRuOFCxdeeumlrVu3CiEeeeQR+56Im48ZAAAAoMvoNyjCx9/H1VkAAAAALdC5OgEAAACgbQYOHLh06dKlS5cqZRZHjx49evRoc41/85vfjBw50mm5TZkyZdeuXUq8fv16ZdEijUYjSZKyMy0tTaf78U24j4/PO++8s3z58qysLCFEdXX12rVrnZatbfbNLTExMTk5eePGjcrm9u3bt2/f3rjZ/PnzIyMjd+zYoWyq162D3HnMAAAAAAAAAACciRllAAAA0PkkJCT84x//iImJsdGmf//+69atu/vuu52VlBBChIWF/fa3v21Q3mGxWMw/aPwUX1/f119//eWXXw4KCrLduSRJSUlJ7733XmBgoD2Tbp59c5s2bdqrr77a3EwtWq32pZdeuv/++63npLEuKuogtx0zAAAAAAAAAABnYkYZAAAAdEohISErV64sLi7+5ptvsrOzz549W11d7e/vP2TIkNjY2DFjxkRERLgksbFjx37yySdHjhw5duxYXl5eYWGhssSPDZIkjR49euPGjVeuXDl27NjFixcvXLhw8+ZNIUR4eHi/fv0GDBgwYsSIwYMHe3l5OeUkHJXbyJEjP/744yNHjmRkZJw6dermzZvBwcGDBg0aO3ZsYmKiUkNTUVGhtg8ICLDjubjtmAEAAAAAAAAAOI0ky7KrcwAAAACA/9i6deuGDRuUeMeOHfZafcmFZs+effz48blz586aNcvVubiv6upqvV7v4+PjtAmT4HI1NTV1dXVKrNFobrnlFtfmA6cxGo2VlZWSJIWGhro6FzhJfX29dSFscHCwHSeNg9MUfnWq7vqNtj6rqqpKCOHv76/Vah2QVFfWvYePl9TEhJTuqeYnfU0+/7nFQ3oOrav9z4/4Z56a/4tnf+O6vGyRfHU3u/1Xrb+Ptwjorlc3w32lcH+jIw6tMcneJW3+3+T+6urqTCaTt7e3j4/Pf3Z5BUg9h7s0KThWVVWVwWBQYp1OFxwc7Np84DR6vb66ulqr1YaEhLg6FziJwWBQ3tcpbrnlFo2GhWs8gsViuXHjhnCPm15TU3PXXXcJITZv3hwdHd3B3vilFAAAAIAb+frrr5UgKiqqC1TJAAAAdA297opvx7NKS0uFEEFBQc6fGRHO1N0qlsSP7+H79gu6Y1yU09Nxe1ohuuJclqbKSqPRqPXzk+w6MygAAIAjUOoFAAAAwF2Ulpbm5uYq8f333+/aZAAAAAAAAAAAXQ8zygAAAKDNamtrs7Ozz5w5c/78+aKiops3b3p5eYWGhg4aNCg6Onr48OG33nqry2dibIeioqI5c+Yo8bJly+Li4lybj13o9fqZM2cq8fz58ydMmODafGyQZXn16tXq5qhRo9raw8WLFxcvXqzEq1ev7t27t92SAwDApa7s/JdsamERlj63Bei8W1pjXdIYwu2zLMKlCp3R0qqWZrO5pqZG3QwwV7MKj+eorKwU3HQPYxE/vhDl3aj78kKJC5OBM9XV1dXX1/v46H18al2dC5xEuelKrNVqAwLqnXDQ0EBLj+5tXhYt5HKtf+wQR+QDAOikKJQBAABAG1y9enXDhg0ZGRkN9ptMpvz8/Pz8/AMHDgghfHx8ZsyYMXnyZF9fX1ek2U6yLJvNLXwEZV8zZ87U6/VKvHXrVgdVF6knZbG07uMsB5BlOSUl5fHHHw8MDGyygdls/uCDDzIzM5XNxMTEXr16teNA6snKckufFAIA0HkcSv5TfWULnzv+z66RsrHUdhvZx7/8bvuUAn+S27u4rtouXQHoSkxWv3Tsv1iWvS3LhckA6HomxQXEx+S09VmjthREvrLIEfkAADopCmUAAADQKvX19WvWrNm3b19rGhsMho0bN6ampj733HOTJk2SJKnl53gks9ns5NIcF9qxY8eOHTvuvffee++9NzIyslu3bpIkmc3mysrK7777LjU1tbi4WGmp1WrVqX0AAAAAAAAAALAjCmUAAADQsqqqqkWLFhUUFKh7evXq9cQTTwwePLhHjx4+Pj5CCJPJVFFRkZOTs3fvXmVeELPZvHbt2qioqGHDhrksdbiZ/fv379+/30YDnU63cuXKkJAQp6UEAAAAAAAAAPAcFMoAAACgBXV1dS+88EJZWZmy6e/v//LLLw8bNqzBPDFeXl49evTo0aPHHXfcUV5e/sEHH3z99deuyBedWEJCwosvvtjc8kwAAAAAAAAAAHQQhTIAAACwRZbl119/Xa2SiY6O/uMf/+jv72/7WSEhIYsWLbrvvvtWrFjh+BzRCUiS9Omnn/773/8+e/ZsTk5Ofn7+jRs3qqqqdDpdjx49YmJiYmJiEhMTmUgGAAAA6LzK866Z9AZXZwEAAAC0gEIZAAAA2HLo0KGsrCwl7t69+5///GdfX99WPjchIWH9+vUVFRUOyw6diZ+fX2xsbGxsrKsTAQAAAOAYsuzqDAAAAICWUSgDAACAZplMplWrVqmbixcvbn2VjCIkJIQ5QgAAAAAAAAAAgJugUAYAAADNOnr0qF6vV+KoqKi4uDhHHKWkpOTw4cNnz549d+5cTU2Nr6/v4MGDY2Njx4wZ06dPH1d15W6Ki4uPHz/+3XffXb58ubS0VKPRhIWFRUdHDx8+PCEhITw83C5HkWX5ypUrp0+fzs7OvnTp0o0bN3Q6XURExKBBg0aOHDlixAhvb+/2dXvmzJlDhw6dPn26rKzMz89vyJAho0aNGjduXIvLeFkzm83Hjx8/cuTIqVOnysvLg4ODhwwZMmbMmJ/+9KdtTcw51xMAAAAAAAAA4G4olAEAAECzduzYocZPPPGEJEn27b+iomLlypXq0k4Ko9GYmZmZmZm5cePG6Ojol156qTVVC3bsqjXKy8t/+9vflpSUKJvz58+fMGGCXXpurKqq6m9/+1tmZmaD/VevXr169epXX30lhBg6dOhzzz03aNCgdh+lpqbmn//855YtWyorK633G43GCxcuXLhwYffu3ZIkzZ07NykpycZIKCoqmjNnjhIvW7YsLi6usLDwlVdeKSwstO4zIyMjIyNj9erVCxcuHD9+fGsyPH/+/LJly6qqqtQ9paWlpaWlhw8f9vHx+f3vf3/bbbe1ph/nXE8AAAAAAAAAgHvSuDoBAAAAuCmj0Xju3Dl10+7TyWRlZT399NMNSlsayM3Nfe655w4fPuy0rlojLy9v9uzZhYWFZrNZluVly5Y5rkqmoqLi+eefb1zV0cDZs2cXLlxYV1fX7gMtXrw4JSWlQZVMA7Isr1q1aunSpRaLxUYb8w+EEDk5Ocq1aq7xm2++uWfPnhbT27dv36JFi6yrZKwZDIbXXntNqXGxzWnXEwAAAAAAAADgnphRBgAAAE0rKChQ45CQkMDAQDt2npeXt2TJEnUzPj4+OTk5MjLSy8vLZDJdu3YtNTX16NGjyqNvvPHG8uXL4+PjHd1Va2RkZLz++utKHBAQ8Oabb/bt27fdvbVo6dKltbW1SpyYmPjoo4/27dvX399fkiSLxVJdXa1MgpKenm6Xw0VGRj788MNDhw4NDQ318/MTQpjN5vLy8oyMjA0bNijrcJ04cSI1NfXJJ59ssbczZ86kpaXJshwTE5OcnBwdHe3n5yfLcmlpaVpamprzmjVrEhMTg4ODbfTz7rvvqpv33nvvtGnTevXqpdFo9Hp9Tk7OunXrLl++/NZbbz322GO2U3Ly9QQAAAAAAAAAuBsKZQAAANC0/Px8NR4wYIAdezabzUuXLlU3n3nmmalTp6qbXl5eUVFRS5Ys2bt37/vvv6/sXLFixUcffeTt7e24rlpj27Zt//jHP5S4T58+f/nLX+xbP9TAtWvXcnJylPjnP//5E088Yf2oVqsNCgoKCgoaPnz4rFmzdu7c2ZFjjRw58ve//31ERESD/TqdLiws7KGHHrrvvvteeeWVs2fPCiHS0tImT54cEhJiu89NmzYJIZKTkx977DF1tSZJksLDw+fNm9e/f//169crO7du3frss8822YnZbF6xYoW6+fLLL48ePVrd9PPzi4uLe+edd959990vv/xy69atNvJx5vUEAAAAAAAAALgnCmUAAADQtJKSEjXu37+/HXv+8ssvy8rKlHjixInWpS3WkpKSioqK0tLShBB6vX7r1q0zZ850XFe2WSyWNWvWqBONxMXFvfrqq+2rtmm9ixcvqrHtuVL8/PxmzJjRkWPNmjXLdgMfH59XX331qaeeMhgMQogvvviiNddwwoQJ06ZNa/KhyZMnb9++XRlm6enps2bNUotprO3bt6+mpkZN0rpKRqXRaBYsWJCXl5ebm2sjGUdczxs3bnz88ce22yhLOBmNRvVE0Fh9fb0QwmQycZU8h3LTFbIsc+s9h7I2Hzf9/7N35/FNVenjx89N0rRN7UZL2beyV6FTWQQEdVDKgCiIIMNXRcFRkIrOV5SvDqOCDDouzGtklepUGUSEsok4BUVFkJdSNmvLVkqFQkuB0tI9TZPc3x/3N3cyXW7SNmm6fN5/PTc599znLmmT3Cfn1JUsy43WxkVy7VMxAgAAeIitXu9AbHzYdCur1SqEsNvtHNXWQ/kcpyorK6vxezy0POpHyKZw0tWRwu3u+DRKoQwAAABqVlhYqMZhYWFu7Pmzzz5T45kzZ2q0nDZt2vbt25WP31u3bp02bZpOp/NQVxosFsuSJUtSUlKUxdjY2Llz57q+er2pNUB+fn4+Pj6e3pxTJpNp8uTJyjgxLhbK1DZOjBBCkqTJkyevXbtWCGE2m/Pz82u8zNRT7O/vf99992n0FhcXN3/+fI1kPHE8b9y48fHHH2u3UQZkslqtSsUMNNhsNo5S6yTLMqe+FeKku50sN2rlihtrbgAAAFxUv5ujfNj0BD7HtWbK/OxoVZrCSXfv3xyPf7kPAACAZsrxt/4Gg9sKrPPy8tSxakaPHm0ymTQaG43G+++/X4ktFsv58+c91JWG4uLiZ599Vq2Seeyxx5555plGqJIRQqjzOpnN5ibyG52YmBglKCgocPrpKCYmRntqqv79+6txfn5+9QbXr19Xq1smTZqk1+s1euvVq1dQUJBGgyZ4PAEAAAAAAAAAjYxCGQAAANTMccgNZSAWt8jKylLjkSNHOm0/bNgwNc7IyPBQV7XJzs5+6qmncnJylMWFCxdqT9njXr1791bjv/71r+rYkl4UHBysxo5jDtVoyJAhrvd248aN6g0c65kGDx6s3ZskSXfddZdGgyZ4PAEAAAAAAAAAjYyplwAAAFAzx8E5CgoK3NVtdna2Gnfs2NFp+/bt26vxhQsXPNRVjVJSUl599VVlWgFfX9+33norMjLS6Vpu1L17906dOim7mZKS8vvf/37kyJHjxo3r2bOn9vA59SbL8sWLF9PS0k6cOJGdnZ2bm1tRUeHYwHGI46Kionbt2mn05njAa2Q0GtXYYrFUb6CWKAkhIiIitHsT/57kqDaeOJ56vT4kJES7jTJ9ryRJjTMQUTMly7Isy5IkeX22YzQa5aSri7xAWhW73c7r3TM4pAAAADXgI7l78RG+FeIjfGumfCHcFE66e3OgUAYAAAA1a9u2rRo7jt3SQJcvX1Zj7YlyFAEBAWrsWBnj3q6qW7duXXp6uhKHhYW9++67YWFhTjfhXpIkLV68eN68eer0qz/88MMPP/ygpDR06NAhQ4b079/fcb8a4vDhw2vXrr169aqL7WssbXHk6+vbwJQcT7ErtSzh4eEaz3rieHbr1m3v3r3abWbPni2E8Pf3b9Omjes9tzYlJSVms9loNGpP14WWpLS0VH0x6nQ6XiCth8ViKSoqEkJw0uvElZsQrnxp6MabGTrNKREBAAA8wadek4P7GI28+XQjs9lcUlKi0+lCQ0O9nQsaSUVFRXFxsboYEhLSFMom0Ajsdnt+fr5oGidd/bbZLZlQKAMAAICaderUSY3PnTvnrm4rKyvV2ODCtxuO73qrjG7ixq6qU6tkhBAPP/xw41fJKCIiIj766KOEhISvvvrK8fHr168nJSUlJSUJIQYPHvz444937dq1IRuKj4/ftWtXg3L1AMdaHFc+/zgtzWm04wkAAAAAAAAAaJoolAEAAEDNHCczun79enFxsVtGevDx8VFjm83mtL3jXD9VyiDc2FV199xzz3fffad0u3z5cpPJNGLECKeb8ASTyfTMM8/MmjXr559/PnjwYHJycpUqnyNHjhw5cmTy5MmPPfZY/X4mvm/fPrVKRqfTTZgwYfjw4R07dgwICDAYDI5D6ebk5MyZM6eBe+Q6x7mZ7Ha73tkv153WP4lGOZ4AAAAAAAAAgCaLQhkAAADUzM/Pr1evXhkZGcriiRMnhg0b1vBu27Vrp8bFxcVOp7kpLS1VY8faHfd2Vd1vf/vbBx988H//93/NZrMQ4q9//eu8efPGjBmjvZbnKJU6I0aMkGX5xo0bmZmZBw4c+P7779UKoW3btnXt2nX06NF17dlms61du1aJg4KCVqxYoTFwrisFSW7keIrLysqCg4O121+/ft3Fnj13PAEAAAAAAAAATRmThwEAAKBWDzzwgBp/9tlnsiw3vM/OnTurcU5OjtP2V65cUeNu3bp5qKsaderUafXq1TfddJOyuGLFih07djhdy9MkSQoNDR00aNAf//jHxMTEWbNmqU/Fx8c7jprjopycHLWE6Nlnn9WeXtrxGDYCx/m/rl696rR9ZmZmXTfh9uMJAAAAAAAAAGjKKJQBAABArYYNG6ZOUZSZmXny5MmG99m1a1c1/vHHH522T05OVuOePXt6qKvahIeHr169Wq0dSUhI2LBhgysrNg6DwTBp0qTY2FhlsaysLD8/v66dXLp0SY379eun3fjo0aN17b8hunfvrsbHjh1z2v67775ryObccjwBAAAAAAAAAE0ZhTIAAAColY+Pz+zZs9XFt99+u6Kiok49FBYWZmVlOT7Stm3b8PBwJf7qq6+UiY1qU1lZuXPnTiU2Go2RkZEe6kpDSEjI6tWrO3TooCxu2rQpPj7eLYPruMuIESPUuLi4uK6rO55TvV6v3XLPnj117b8hwsPD1Sqli89Y6AAAIABJREFU7du3a0/8lJGRUVhY2PCNNvB4AgAAAAAAAACaMgplAAAAoOXuu+9WRxkpKChYuHChdj2Ko9TU1CeffLJ6qcG0adOUQJblTz/9VKOH7du3q2UcEydO1Omqvn11Y1caAgIC3nvvPXW2pl27dr333ntNp1bGcdQTdaIo16nFRkKIKlVNVSQkJFit1rr230DqKS4rK9u9e3dtzWRZXr16tVu22MDjCQAAAAAAAABoyiiUAQAAgBZJkhYtWhQcHKwspqenP/HEE+np6dprFRcXL1++vLaqmnvuuUcdJmTHjh21DVKyf//+Tz75RIl9fX2nTp3q0a60+fn5LVu2TK0Z+vbbb//6179qD3DScJs3b05NTdXeSnl5+fr169UkHateXKQWAAkhVq5cWWMpjCzLmzZtSkpKqmvnDRcbG2symZR47dq1x48fr95GqZLJyMjQ7qpxjicAAADQaoX26Gzw8/V2FgAAAIATFMoAAADACZPJtHLlynbt2imLxcXFL7zwQlxc3IEDB3JzcysrK5XHbTZbYWHh8ePH33nnnYcffnjv3r21dajX61955RV1cdWqVUuXLr1w4YJSomGz2S5durRs2bJ3331XbfPSSy/5+fl5tCunjEbjm2++GRMToyz++OOPixYt8ugIK+fOnVu4cOG0adPi4+NTUlLy8/Mdj3ZBQcG+ffueeuqpgoIC5cE5c+ZIklTXrQQGBt5+++1KfPHixbi4uJSUFLXCqaysLCUlZf78+Rs2bBBCTJkyxQ07VhcGg+Hll19WF1977bU1a9bk5uba7XYhhMViOXXq1Pz585UaqYkTJ2p01TjHEwAAAAAAAADQlBm8nQAAAACageDg4FWrVq1ateq7775THrl48eI777yjvZZOp5s5c2b//v2rP9WrV6/FixcvXrxYKXc4dOjQoUOHauvn+eefHzRoUG3PurErp/R6/WuvvfbOO+8cPHhQCJGSkvLSSy+98cYbRqOx3n06ZbFYdu3atWvXLu1mY8eO/e1vf1u/TcybNy8lJaWkpEQIcfnyZcfaI0dxcXHR0dFbtmyp31bqLTo6+umnn16zZo2ymJSUVOPYNvPmzevevfvnn3+u3VsjHE8AAAAAAAAAQJPFiDIAAABwidFo/N///d/ly5erQ6poMBgMjzzyyGeffTZx4kSdrub3nDExMR999JE6mVGNunbtGh8ff9ddd2lvzo1dOaXT6RYsWHDPPfcoi+np6c8//3x5eXkDu22IwMDAF198ce7cufUe/sRkMq1Zs6ZPnz61NfDz81u0aNHYsWPrm2NDjRs37s033wwICKjxWYPBsHDhwjFjxrhlWw0/ngAAAAAAAACAJosRZQAAAFAH3bt3X7x4cXFx8alTp1JTU8+cOXPlypUbN274+PiEhYX17t07MjJywIABkZGRer3eaW+hoaFvv/321atXf/jhh5MnT546daqkpMRkMvXt2zcqKmrEiBGdO3d2MTE3duWUJEnz5s0LCAhQBi/Jysp69tln//a3vwUGBrprE4oFCxZcu3YtKyvr/Pnzv/766+XLl69du1ZeXm6324ODg7t27RoVFRUTE9OnT5/aqpFcFxwc/M4775w9e3bfvn1paWkXL14UQkRERERFRQ0fPjwmJsbHx8cd+1R/N9988yeffHL48OGffvrp+PHjN27cCAkJ6d2798iRI4cNG+bKdFqNeTwBAHCvTmMGW8vMThoFdZP0HZy08TH66ru4JaU+wcERfkGutJRlWZ3uUAjh4+NDNWrrYbFYBCe9ldE5nOsuwX63RYZ5MRk0JqvVarfb9Xq9K98GoGVQTroSS5LUON8b9AgztDd1rOta/j09OBIwAKA5kmRZ9nYOAAAAANBizZ49++jRo3Pnzp01a5a3c2m6SkpKzGazr6+v2wvO0GSVlpaqw3HpdLo2bdp4Nx80GovFUlRUJElSWBi3TluLysrKwsJCdTEkJMRg4Md7rUVeXp4QIjg42OtV12g0AQEBZWVlSvznP/95yZIl3s0HjaaoqMhisfj7+9c2FChanuLi4oqKCiU2GAwhISHezQeNxmw2l5SU6PX60NBQb+eCRlJRUVFcXKwutmnThp+ZtRJ2uz0/P180jZNeWlp65513CiE2b94cGRnZwN64ggEAAAAAAAAAAAAAANAq8OsNAAAA1MHVq1ePHz9+8uTJc+fOXb16VZmzpkuXLt27d4+Kiurbt29wcLB2D2azefr06Uo8b9680aNHez5rAAAAAAAAAAAAISiUAQAAgIsyMzNXrlyZkZFR5fFr165du3bt2LFj27ZtE0J07dr1/vvvHzlypMlkqq0rm82mBOpU1qiH6dOnm81mJd66davXh74EAAAAWq3jr32c9rdEdTGsT7vI8DJXVtQZDZ363lBi/7HDRfklF7coDYgW+grHR2y+QXmBTj5hbTvf5fSNGy5uon4q7TY1Ttpx+srZjU5X6RDZ5ptwP08m1SBPx1oCAvJrfKprYI9bw4c2cj4AAABoOAplAAAA4IQsy5999tnGjc6/3xRCZGVlrVy5csOGDevWrfN0Yq2czWZTS44AAAAAeJHNUmktNf9nsdxiN5s12v+H3SAs/24p24StQrO1A7lSyJX/9YBslYWTQplKu63CZnV1E/UiO8Q2q73C7HxzVqu9vLLpfrSxynarXPNe2GV++wEAANAsUSgDAAAAJ3bt2uVYJTNgwIAHH3ywZ8+eN910k06ns9vtRUVFWVlZ+/bt++abb7yYJwAAAAAAAAAAgDYKZQAAAKDlypUrH3zwgbq4aNGiW2+91bGBXq8PDQ0NDQ2Njo6ePXv2F198sWHDhkZPEwAAAAAAAAAAwDkKZQAAAKAlMTFRjZ955pkqVTJV+Pn5TZ069d577928ebNGm507d7ozRQAAAAAAAAAAANfovJ0AAAAAmi5Zlvfu3avEOp3u7rvvdmUtk8n0+OOPezAtAAAAAEDTU3A+22qu8HYWAAAAgBMUygAAAKBWRUVFdrtdifv376/X672bDwAAAACg6ZJlb2cAAAAAOMfUSwAAAKhVeXm5GgcFBXklB5vNduLEiePHj588eTIrK8tqtYaFhQ0YMOA3v/nNkCFDjEZj/fpMTU09ePDgyZMnr169arVao6Kili5d2sD2sixnZWX98ssvJ0+ePHfuXH5+vsFg6Ny5c+/evQcNGjRw4MD6Zdto3Hior127dvDgwVOnTp0+fbq0tNTPz69Pnz5RUVEjRozo2LFj/dKTZTktLW3//v2//PLL9evX/f39+/btO2TIkFGjRplMJtf78cQVBQAAAAAAAABoLiiUAQAAQK0Mhv+8XTx//rxb+jSbzdOnT1fiefPmjR49uraWsizv3r07ISGhouK/xu7OycnJycnZs2ePXq9/6qmnfve730mSVFsnV65cmTNnjhK//vrrAwYMSE9Pf/3114uKihybVVZW1q+9orS09Ouvv96yZUuVZhaLJT09PT09/csvv5Qkae7cubGxsRrZeotbDrWisLDw7bffTk1NdXzQYrEcOXLkyJEj//znPyMjI//0pz9FRERodFL9LOTm5r766qu5ubmOfSYnJycnJ69evXr+/Pl33HFHY+4mAAAAAAAAAKCZYuolAAAA1Co4OFiNL1++fO3aNbd0a/s3dV6n6srKyl588cU1a9ZUqWmo0s+aNWuWLFlis9lqayPLsro5IcSRI0deeOGFKuUsDWmvWLBgQUJCgnYzWZZXrVq1ePFijb32CncdaiFEamrq448/XqVKporMzMw//OEPBw8e1GhT5SxkZGTMnj3bsUqmSuN33303KSlJo0Ph1t0EAAAAAAAAADRfjCgDAACAWvn4+PTr1+/06dPK4pIlS958882AgABPb7eiouK55567cuWKsti2bdvHHnts4MCBQUFBkiRVVFSkp6d/8MEHFy5cEEIcOXJk2bJlCxYscNrt0aNHt2/fLoTo1avX448/3qtXL39/f1mWr169WmPdRl3bd+vW7b777uvfv39YWJi/v78QwmazFRQUJCcnr1u3zmw2CyGOHTu2YcOGRx99tP5Hx63ceKjPnz+/cOFCdTE6OnrGjBndunXz8fGxWq3Z2dkbNmw4dOiQ8uxbb721ZMmS6OhopxmmpaUlJibKstyvX78ZM2ZERkYqZyEvLy8xMXHPnj1KszVr1gwfPjwkJMTTuwkAAAAAAAAAaNYYUQYAAABa/ud//keNz58//8gjj6xfvz47O1uWZc9tdPny5WpNw/jx4+Pj4++4446QkBCdTidJkp+f38CBA997773Y2FilzQ8//KA9ioli27ZtsixPmjRp2bJlAwcONJlMkiTpdLr27ds/+OCDDWk/aNCg1atXr1ixIjY2tkuXLkpLSZIMBkPbtm3vvffe9evX9+/fX2mcmJhYUFDQoAPkPu461DabbfHixerizJkzlyxZ0rt3b6PRKEmSj49P9+7dFy5c+Mwzz6htli5darFYnGa4ceNGq9U6Y8aMt95665ZbblHPQkRERFxc3JNPPqm23Lp1q6d3EwAAAAAAAADQ3DGiDAAAALT85je/GT58+I8//qgs2my2xMTExMREvV4/aNCgAQMG9OnTp3PnzoGBge7aYkZGxoEDB5R46NChs2fPliSpejOdThcXF5eenn7+/HkhxN///vcPP/ywxpaOoqOjZ86c6bRZXdvPmjVLu4Gvr+9rr7322GOPKfP+7N69e/r06S7m4DluPNTffvvt9evXlXjs2LEPPPBAjVuMjY29cuVKYmKiEMJsNm/dutWV4zB69OgpU6bU+NSECRN27NihTAq2Z8+eWbNmVd8Fj15RFoslOztbu40ykZPdbmdGJw1K7Z0y65a3c0EjqVJwyalvPdQpCDnprUeVeSf5n9gKtYaT7pYfEsiy7OoHlXpvwsP915Mnf4bRcBonl7evjnhL3wo5vjo49a0Kb+lboSpv6W02m0d/RYmmw/H17vWTrv7NcUsmFMoAAADAiQULFsTHxyclJTk+aLPZkpOTk5OTlcXw8PDY2NjRo0dHREQ0cHOffvqpGj/33HMalQqSJM2bN2/+/PlCiGvXrl26dKlLly7anc+ZM8f1Kpl6tNdgMpkmT568ceNG0WQKZdx4qD/77DM1njlzpsZGp02btn37dqvVKoTYunXrtGnTdDon41w+8cQTGolNnjx57dq1Qgiz2Zyfnx8WFlaljUevqEuXLj300EPabXr27Kmk13RGEmqyLBaLK+MMoeWx2+28QFobWZY56a1WUVGRt1NAYysuLvZ2Ch6nTLSqqnIzyUVWq83H5cZ2m12nr/qI07VsVmud0/I8a9O+z2qr/cBWVFTw76wKs9lc5eWAVkKZe9rbWaBRcdJbs8LCQm+ngMbWFE56WVmZErilUIaplwAAAOCEXq9/+umnly9fHhMTU1ubvLy8Tz/99A9/+MPrr7/ekJsf5eXlR44cUeI777zT6UA1vXr18vf3V2J12JvaREREdOrUyfVk6treKfUAFhQUeP2rQzce6ry8PGVMFyHE6NGjTSaTRj9Go/H+++9XYovFogzfoiEmJkY7N3VOKyFEfn5+lWc9ekUBAAAAAAAAAJodCmUAAADgku7duy9evHj9+vUvvPDC0KFD9Xp9jc2OHDkyY8aMkydP1m8rjmUTo0aNctpekqQBAwYo8enTp7Ubu9JhQ9o7FRwcrMZer8F346HOyspS45EjRzrtatiwYWqckZGh3XjIkCHaDRyP6o0bN6o869ErCgAAAAAAAADQ7DD1EgAAAOogODj4jjvuuOOOO2RZLi4uzsnJOXHixN69e7Ozs9U2drv9pZde+uCDD9q1a1fX/i9duqTGXbt2dWWVLl26KDNAnTlzxmnLOiVT1/ayLF+8eDEtLe3EiRPZ2dm5ubkVFRWODRwHYC8qKqrH8XEjNx5qx7PfsWNHp/20b99ejS9cuOB64xoZjUY1rj5rj0evKAAAAAAAAABAs0OhDAAAAOpDkqSgoKCgoKB+/fo9+OCDubm577///rFjx9QGb7755t///ve6dnvx4kU1fvbZZ3U6nfj3nKOyLKuBEMJutyuB7d/z2RcXF8uyLElSbZ2HhobWKZk6tT98+PDatWuvXr3qYvvqJR2NzI2H+vLly2pXQUFBTjcdEBCgxo5FNjXy9fV1aX9q4dErSgjRvn375cuXa+fw4YcfKjviysFptcrLyysrK318fNSpr9Dimc1m9S+hJElOZ0ZDi2G1WpVpxfmr2HrYbLbS0lJ1MSAgoLaxCdHyKLOymkwmg6GFfxHtWL0thNBpvoesTZ1eGpKu6mjxkk4SQnbjJhpN08xKpdfXOjC/0Wjk35mqrKzMarUajUY/Pz9v54JGonyOU2K9Xu/4YR8tm8ViMZvNOp3upptu8nYuaCSVlZXl5eXqYmBgoPY3ZmgxlJ/LiqZx0tU3jW7JpIV/PgEAAEDjaN++/aJFi9atW7d161blkczMzJycHFfGF3Hk+InLbDa7M0Uh6vrtvOvt4+Pjd+3aVfeMvMmNh1r9Xky4dtB0Dt/pVxl0x+08ekUJIUwm04gRI7TbrFu3Tgih1+ur3D6BI4vFUllZqdPpOEqth+OfDkmSOPWtDSe9VXF8vQshfHx8WnzNBKrw8fHx8fHxdhaeVbXUo17f3et0dVir+hYkyXmhjNdvb9SoaWal0kiPt6+OlA9cfPBpVRw/0fPurlVRhkzmpLcqyq/LVD4+PrpqNbtokdQh0pvCSVc/WlIoAwAAgKbl0Ucf/fbbbwsKCpTFkydP1rVQpjneNdm3b59aJaPT6SZMmDB8+PCOHTsGBAQYDAZJktQ37jk5OXPmzPFepv/FjYfa8baHOhyLBscpqBo4YIxTzfGKAgAAAAAAAAB4Dt8aAwAAwG10Ot348eM3bNigLP7666917aFdu3ZqvHHjxqY/bK/NZlu7dq0SBwUFrVixQmPCJleKSBqNGw+1Y1fFxcVOu3KcfKGupVR11eyuKAAAAAAAAACARzEmEgAAANypc+fOauw4642LevToocbXrl1zT06elJOTo5Z9PPvssxpVMkKIK1euNEpSLnHjoXY86Tk5OU7bOx6Hbt26NWTTTjW7KwoAAAAAAAAA4FEUygAAAMCdSkpK1Dg4OLiuq3fv3l2Njx496paUPOrSpUtq3K9fP+3GTWqP3Hiou3btqsY//vij0/bJyclq3LNnz4Zs2qlmd0UBAAAAAAAAADyKQhkAAAC40+HDh9W4T58+dV09ODi4f//+Srx582ar1eq2zDyjoqJCjfV6vXbLPXv2eD4jV7nxULdt2zY8PFyJv/rqK7PZrNG4srJy586dSmw0GiMjI+u9XVc0uysKAAAAAAAAAOBRFMoAAACgVmVlZTt27KisrHSxfU5OjuNgIU5HWKnRjBkzlKC8vPyDDz6oRw+NSS0QEUJkZWVptExISGhqVRpuPNTTpk1TAlmWP/30U42W27dvV6uLJk6cqNN5/CNJ87qiAAAAAAAAAAAeRaEMAAAAtCQkJEyfPn3r1q1lZWXaLXNzcxcsWKAuDh8+PDQ0tB5bvPnmm0eOHKnESUlJCQkJNptNe5W8vLz169eXlpbWY3MN1K1bNzVeuXJljaUwsixv2rQpKSmpEfNyiRsP9T333KOe7h07dtQ2ds7+/fs/+eQTJfb19Z06dWr9s3dZ87qiAAAAAAAAAAAeZfB2AgAAAGjqLBbLunXr1q1bN3To0LvuuqtHjx5hYWF+fn5CCFmWy8vLs7Kydu/e/e2336qrBAYGPvfcc/Xe4nPPPXfu3LnLly8LIXbs2LF3796HH3540KBBbdq0MRqNQgi73V5eXp6Xl3fq1Kndu3dnZmYKISZNmtTQXa27wMDA22+//eDBg0KIixcvxsXFzZ07t2/fvsrxKSsrO3v27Lp16zIyMoQQU6ZM2bJlS+MnqcFdh1qv17/yyivPP/+8srhq1aojR4488sgjnTp1MhgMNpvt8uXLmzZt+v7779VVXnrpJeUoNaPdBAAAAKAhtEdng5+v1VzhvCkAAADgPRTKAAAAwFXJycmOMyvVJjQ09N133zWZTPXekK+v73vvvbdkyZLU1FQhRElJydq1a+vdm6fNmzcvJSWlpKRECHH58uVXXnmlxmZxcXHR0dEeKpSZPHmyJEmutHzkkUcefPBBddGNh7pXr16LFy9evHix3W4XQhw6dOjQoUO1NX7++ecHDRpUvw3VQ/O6ogAAAAAAAAAAnsPUSwAAAKiVyWRKSEiYNWtWp06dXGnv7+//5JNPfvjhh23btm3gpv38/P7yl7/8+c9/Dg4O1m4pSVJsbOyKFSsCAwMbuNH6MZlMa9as6dOnT20N/Pz8Fi1aNHbsWM/lYLfbba6RZbl6eu461DExMR999FG/fv00OunatWt8fPxdd91Vl/1zg2Z0RQEAAAAAAAAAPIcRZQAAAKAlPDx80qRJkyZNKi4uPnv27JkzZ86fP3/p0qUrV65UVlb6+fl16NChc+fOvXr1io6O7tq1q16vd9emJUkaOnToP//5z6ysrMOHD589ezY9Pf3GjRtCiIiIiC5duvTs2XPgwIF9+vTx8fFx10brJzg4+J133jl79uy+ffvS0tIuXryoJBkVFTV8+PCYmBivZ6jNjYc6NDT07bffvnr16g8//HDy5MlTp06VlJSYTKa+fftGRUWNGDGic+fOjbJPNWhGVxQAAAAAAAAAwEOk6r8oBQAAAAC4y+zZs48ePTp37txZs2Z5O5emq6SkxGw2+/r6MpBP61FaWlpeXq7EOp2uTZs23s0HjcZisRQVFUmSFBYW5u1c0EgqKysLCwvVxZCQEIOBH++1Fnl5eUKI4ODgFl+IbC01W8sr1EVJCIOPS1OjClnW/fvYSHpJ6FweA16vE9VmX7U7m4/VbJPsHr4h0C6kTVlZmRIvePHlP//5NaeryJKwG5ru4Pe+PnZdLcdVL+kMuhZ+bbuuqKjIYrH4+/sHBAR4Oxc0kuLi4oqK//+nz2AwhISEeDcfNBqz2VxSUqLX60NDQ72dCxpJRUVFcXGxutimTRud629a0JzZ7fb8/HzRNE56aWnpnXfeKYTYvHlzZGRkA3vjQykAAAAAAAAAAPVnCPAzBPh5Owvh9N6FqXFvCBh99YFBvo26SQAAAMAFFMoAAIAm5+zZswsWLFDi1atXd+jQwbv5oDVoLled2WyePn26Es+bN2/06NHezccVV65cmTNnjhK//vrrAwYM8G4+AAAAAAAAAIDWjEIZAABarGPHji1ZskRdfPHFF0eMGOHFfOrEZrMpAdNEotG466qbPn262WxWF2NjY59++mmnazlWk0yfPv2hhx5ymqfdbm9Ino1GlmU1ZwAAAAD18+umfbn7U4QQ3fsGCqvF8SljmH+baCejyWwqu/XXEg/eDuhikW2XCoUQNut/PqecKMz9NOOwEKKtvzHct6LWlavpEWT3t0pGc3H1p+wXS21nzte4lmHURF2H7nXJGgAAAK0UhTIAALRYW7dudbw5vXnz5mZUKAM0XzabzfGll5SUNHXq1PDwcO21HKtJmksFDAAAAIBGc+Vg6uk1O4UQYZO6Wq8XOD51080dQoOclKEcKO3xU7ZFu01DjDEYLh+4IISw2f7zw4OLpQXfXz4rhLg5NLyj6ZrrvXUMkPXWAGPxuepP2bIqK3/4psa19ANGCAplAAAA4AKnk5YCAIBmqbCwMDU11fGRzMzMvLw8b+UDtGYffPCBt1MAAAAAAAAAAABCUCgDAEBLtX///uoPfvNNzT+6AuBRP/74Y3Z2trezAAAAAAAAAAAATL0EAEBLJMvy5s2blbh///5+fn7Hjx8XQmzfvn3q1Kk6HZWyQGNbvXr10qVLG96Pn5/fzp07G94PAAAAAAAAAACtE/fJAABogX799dfCwkIlfvDBBydOnKjEZWVl6enp3ssLaF0CAgJGjx6txKmpqRkZGd7NBwAAAAA8qrA422qr8HYWAAAAgBMUygAA0ALt2rVLjX/zm98MHDhQHUXm888/91JSQKsjSdLjjz+uLq5cuVKWZe+lAwAAAACexQceAAAANAtMvQQAQEtjsVj27t2rxKNHjzYajUKIsWPHJiUlCSEOHjxYVlZmMpnq17ksy2lpafv37//ll1+uX7/u7+/ft2/fIUOGjBo1yvU+bTbb0aNHf/rpp5SUlIKCgpCQkL59+44YMeK2225Tsq1rSllZWb/88svJkyfPnTuXn59vMBg6d+7cu3fvQYMGDRw4sB59KkkeP358//79p06dun79enBwcFRU1JgxY6KjoyVJqtI4Pz//+++/T05OvnDhQmVlZY8ePYYMGRIbGxscHOzdvXDL+WoZu+Deq851ISEhkyZN2rFjhxAiMzMzLS1twIABnttcdXa7/cyZMz///PPp06fPnTtnNpsDAwN79er1m9/85rbbbgsPD3elk2vXrh08ePDUqVOnT58uLS318/Pr06dPVFTUiBEjOnbsWL/EKisrk5OTDx48eObMGeWMREdH33bbbUOGDNHr9a704KFLTghhs9lSU1MPHjx48uTJq1evWq3WqKgot8ycBQAAAAAAAADwOgplAABoaQ4fPqzG48ePV4Lf/e53SqGMEOKnn35Sp4PRcOXKlTlz5ijx66+/PmDAgNzc3FdffTU3N1dtY7FYkpOTk5OTV69ePX/+/DvuuMNpt2fOnHn99deLi4vVR/Ly8vLy8g4ePOjr6/vyyy/feuutLuylEEKUlpZ+/fXXW7ZsKSoqcnzcYrGkp6enp6d/+eWXkiTNnTs3Nja2enWLxp5mZma++uqrjt1ev379wIEDBw4c6Nat2xtvvBEYGKg8brPZPvzwwy+//NKxw9OnT58+fXr9+vXz5s0bM2aMt/bCLefLFU1/F9x41dXD73//+88//1wZS2blypXvv/++xkFwymw2T58+XYnnzZun8VqWZXleKyz5AAAgAElEQVTv3r0ffvhheXm54+PXr1+/fv36oUOH1q5dO3jw4Keeeqp9+/a1dVJYWPj222+npqY6PmixWI4cOXLkyJF//vOfkZGRf/rTnyIiIuq0F6mpqX/5y18cE8vLy/vmm2+++eabgICAhQsX3nLLLRqru+uSEzVddenp6a+//nqVnisrK+u0gwAAAAAAAACAJouplwAAaGkSExOVwGQy9e7dW4m7d+8eFBSkxJs3b3alH1mWbf8mhMjIyJg9e7ZjyUKVxu+++65ai1ObvXv3vvjii471Co4qKioWLVr0/fffu5KeEGLBggUJCQlV7mdXT2zVqlWLFy+22+0abRz3NDU19Y9//GNt3V64cOG5556zWCxCCKvV+n//939VqmQcrVix4uuvv/bKXrjlfLmoie+Ce6+6ejCZTA8//LASX7582bGUrX7Uo6RxMEtLS+fPn79ixYoqVTJVHDly5Kmnnqrt2dTU1Mcff7xKlUwVmZmZf/jDHw4ePOhK5ork5OSFCxfWllhpaemf/vSnf/3rXxo9uOuSE9WuuiNHjrzwwgvaPQMAAAAAAAAAmjVGlAEAoEXJy8vLzMxU4okTJ6pDKUiSNHny5I8//lgIkZOTc/ny5Q4dOrjebVpaWmJioizL/fr1mzFjRmRkpL+/vyzLeXl5iYmJe/bsUZqtWbNm+PDhISEhtXWyfPlydfHuu++eMmVK+/btdTqd2WzOyMiIj4+/cOHCsmXLHnzwQddz69at23333de/f/+wsDB/f38hhM1mKygoSE5OXrdundlsFkIcO3Zsw4YNjz76qNPefv75561btwohBg8e/PDDD3fp0sXHx6eysjIzM/Pvf/97Tk6OECIvL+8f//jH008/vWzZsvT0dF9f31mzZg0bNiw4OFiSpKKiot27d2/YsEHpcMWKFcOHD7/pppsacy/ccr7qqmnugoeuurqaOHHi5s2blfqqVatWDRo0yMXZheqnvLx83rx5eXl5yqKfn99DDz00cuTIsLAwg8Egy3JxcXFWVtbXX3+9b9++2jo5f/78woUL1cXo6OgZM2Z069bNx8fHarVmZ2dv2LDh0KFDyrNvvfXWkiVLoqOjneZ29OjRbdu2CSE6d+48e/bsPn36+Pn52e323NzcrVu3qtPGvf/++x06dIiJidHoyr2XnJLb9u3bhRC9evV6/PHHe/XqpVx1V69erVMlEAAAAAAAAACgKWNEGQAAWpRvvvlGjX/72986PnXnnXeqsVpn4KKNGzdardYZM2a89dZbt9xyi8lkkiRJp9NFRETExcU9+eSTakulyqQ6m822dOlSdfHPf/7zc88916lTJ71eL0mSv7//gAED3nvvPWUemdo6qWLQoEGrV69esWJFbGxsly5dlKwkSTIYDG3btr333nvXr1/fv39/pXFiYmJBQYHTPhMTE+12+5w5c1599dWePXsajUZJkoxGY79+/ZYvX67OL5OUlLRx48aDBw927NgxISFh3LhxoaGhOp1OkqTg4OBp06bNnz9f7fOLL75o5L1o+Pmqkya7C5646upHqaZS4oKCgv3793tuW0KIZcuWqVUy0dHRH3/8sVIe5OPjoxzG4ODgAQMGPP/88+vXrx83blz1Hmw22+LFi9XFmTNnLlmypHfv3sorwsfHp3v37gsXLnzmmWfUNkuXLlUqgbQpVTKjRo1asWJFdHS0v7+/JEl6vb5Tp07PPvvsq6++qrZ88803a5vwyBOXnJKbLMuTJk1atmzZwIED1auuffv2Hq2jAgAAAAAAAAA0JgplAABoOex2u3ITWgjRsWPH9u3bOz4bFhYWGRmpxLt27VLmGXHd6NGjp0yZog5R42jChAlt27ZV4j179siyXL3N3r17S0tLlXjWrFlDhw6t3kan0z333HNqkk7NmjWrc+fOGg18fX1fe+01X19fZXH37t2udDtu3Ljx48dXf9xoNM6dO1dd3LhxoxDizTffDAwMrN74jjvuaNeunRJrTyLjob1o4Pmqkya7C5646upt7NixAQEBSrx27draSkAaLi0tLTk5WYl79eq1aNEik8lUW+Pg4OCnn366+uPffvvt9evXlXjs2LEPPPBAjavHxsZOnTpVic1ms4vFRp07d54/f36NY+oMHjxYnQrKbDbX9trx0CUnhIiOjp45c2aNVx0AAAAAAAAAoGVg6iUAAFqOM2fOlJeXK/GUKVOqN3jwwQffeecdIYTFYklLS3NlnhTVE088UdtTyrxOa9euFUKYzeb8/PywsLAqbT777DMl8Pf3v++++zS6iouLcxyOpYFMJtPkyZOVopbdu3dPnz7d6SqPPfZYbU/dcsstjouTJ08ODQ2tsaUkSffee29CQoIQorCwsLi4uMZ6GhfVYy8aeL7cziu74K2rrkZ6vX7OnDnLli0TQpSVle3evVsjpYZQp/0SQixYsKB+czyph04IMXPmTI2W06ZN2759u9VqFUJs3bp12rRpOp2TWvy4uDiNNuPGjfvkk0/KysqEEJs2bbr//vvrV7ZSj0tOCDFnzpy6bi47O/vll1/WbqMcH7PZfOPGjTp13qrY7XYhhMVi4Si1HspJV2NOfeuhVLjKssxJbz2qlDUXFxdTltralJSUcNIbrqKiQgns9qo/Faj+SHVWa91+LVNXVptVc+taz1Znt9tttaxS2+NCiNLSUjv/XLxH+UVWRUWF534ZgqbG8S29zWbj3V3roZx6Pse1KlXe0hcWFvLurrUpKirydgpC+dJY/Pc/oHqjUAYAgJZj586dajxs2LDqDYYMGaLG27Ztc71QJiYmRrvOQ53lRAhRvWrh+vXr6ugUkyZN0r5z36tXr6CgIDe+64qJiVFulhcUFJjNZj8/P43GgwcP1hh+w2g0tmvX7sqVK8ri3XffrdFVnz591PjGjRsNKZQRddyLBp4vD2nkXfDuVVejUaNGffzxx0pWH3300ZgxY7QPQj0UFxefOHFCiWNiYqoMK+WivLy8a9euKfHo0aM1XhFCCKPReP/99ytjWVkslvPnz2sPz+Pn5xcVFaXRQK/XT548+ZNPPhFClJSU5ObmdujQoc77IISo4yUnhIiIiOjUqVNdt1JRUXHy5EntNj179hRC2O32ut4eaIVkWeYotVqc+laIk95q1XVsS7QAnHS3cLhBVbUsxrWBQhs6mKiT3jWLdeo8lKlc6yoaXdlsNo0yGjQOu93ulntXaHb4NNcKcdJbM97dtUJN4fXu3hyYegkAgBairKzs4MGDShwTE3PTTTdVb+Pn53f77bcr8fHjx4uLi13s3LHCpkbBwcFqXP2XBOfPn1fjwYMHa3clSdJdd93lYmKucMytsLBQu/GgQYO0G3Ts2FGNte/fax+TuqrTXjTwfHlII++Cd6+6Gul0uri4OCW2Wq3bt293+yYc93rMmDH16yQrK0uNR44c6bS9Y1leRkaGduORI0c6/bnJrbfeqsaZmZlOE6hNnS45IcSoUaPqvS0AAAAAAAAAQHPBiDIAALQQP/30kxpPnDixtmYTJkxQ62kOHDgwfvx4Vzp3Oi6F0WhUY4vFUuXZnJwcNY6IiHC6OWX0BRfJsnzx4sW0tLQTJ05kZ2fn5uaq41ErHH/JVFRU1K5dO43etJ8VQqija/j6+hoMWm+lfH191djpsMPu3YsGnq/6aWq74NGrrt4GDRrUqVOn7OxsIcRnn312//33BwQEuLF/xxqX7t27168TJT2FY2VYbRxP1oULF7Qb9+7d22mHjtfGpUuXamvm3ktOCNGlSxenuQEAAAAAAAAAmjsKZQAAaCE2bdqkBDqdbuDAgbU169evn9FoVAoLtmzZMm7cOFcmE3Ws+aiHy5cvq7H2NC6K8PBwF3s+fPjw2rVrr1696mJ7p0UhTvdUp/v/A/K5cdKcxt8Lt2uCu+C5q64hJEl65plnXn75ZSGELMuffvrpk08+6cb+HcuDHMdTqRPHQxcUFOS0vWOtj2ORTY3atm3rtEN/f/8ak3Hk9ktOCBEaGupib45uuumm2NhY7TZKAZNer2/812YzYrVabTabXq/XrkFES6KcdCWWJMmxAhItm91uV2qI+avYeqgnXWE0Gl35DIKWQSll9vHxUT9Jod4cjmHVV5ArrylPv+60T3FdLwBJElItq0g6XW1zL/n4+Bj45+I9lZWVdrudt/StCm/pWy2bzWa1WjnprQpv6VstWZaVb1abwkl375xfvF8BAKAlyM7OVm8njx07VuMrCb1eP2HChG3btgkh8vLysrKyunXr5un0HG9Ru/LtmIt3TeLj43ft2lX/tBrGXd/zencv3KJp7oKHrrqGu/nmm/v06ZOeni6E+OKLL6ZMmVK/+owaOe61j49P/Tpx/NDryvebjoe3ypgu1bnyBYper9fu0EOXXP2+zI2IiHjjjTe028yePVsI4evrGxgYWJ/MWoeSkhKbzWYwGDhKrUdpaWl5ebkSS5LEqW89LBZLZWUlJ71VqaysdJwG0WQycQ+19VDezplMpnq/O4VKfS+t00n2/35Kp3N+00Kv1wvhzlsLNfVfz2erk3S62lbR6/X2Gp8Qwt/fX88/F+8pKiqyWCxGo9G9I6eiKSsuLlbvWer1et7dtR5ms7mkpESn03HSW4+KigrH7wxvuukmyqBbCbvdnp+fL5rGSVcTcEsmfCgFAKAl+Prrr9U4KSnpq6++0mjsOB3Jv/71r6efftqDmQkh/vvWuPLrIu32Tu+1CyH27dun3inX6XQTJkwYPnx4x44dAwICDAaDJElqdXNOTs6cOXPqm7tntYC9aLK74Imrzl3i4uKee+45JU5ISJg/f767enbc68rKyvqNe+R4D8OVIn3HPylO641cGdnFscPqhTVN9pIDAAAAAAAAADQLFMoAANDs2Wy2nTt3VnnExXX37Nnzhz/8wdO/7WvXrp0al5WVOZ0R5vr169oNbDbb2rVrlTgoKGjFihUaY3K4dzg+N2oBe9GUd8HtV50b9ejR49Zbbz127JgQ4vvvv3/44Yfbt2/vlp47duyoxkVFRfX7WY/joSsuLnb6W8DS0tIaE6hRXl6e0wTKysrUuEOHDo5PNeVLDgAAAAAAAADQLDAmEgAAzV5qaqrVaq3funa7/fjx4+7Np7pOnTqp8dWrV522z8zM1G6Qk5Oj3pt/9tlntWeuuXLligs5ekEL2IumvAtuv+rcS5mLR/H++++7q9uuXbuq8YULF+rXSefOndU4JyfHaXvHM+t0KreMjAynHV67dq3GZETTvuQAAAAAAAAAAM0CI8oAANDsbd26VY0/++wzk8nkdBWbzTZlyhRluIUtW7YMHTrUg/kJ0b17dzU+duxY7969tdt/99132g0uXbqkxv369dNufPToUSf5eUkL2IumvAtuv+rcq0OHDnfcccf+/fuFEMeOHTt//nz9pkmqwnGv9+7dO2LEiHp04lht8+OPP956663a7ZOTk9W4Z8+e2o0PHDgQFxenzo5UI2WsHUWPHj0cn2rKlxwAAAAAAAAAoFlgRBkAAJq3oqKilJQUJR48eLArVTJCCL1eHxsbq8SnT58uKCjwVH5CCCHCw8PVgR+2b9+uPR9KRkZGYWGhdocVFRVqrNfrtVvu2bPH5UwbVQvYi6a8C26/6tzuiSeeUOPVq1e7ZZ6gwMBAtXzkyJEj9RtSpW3btuHh4Ur81Vdfmc1mjcaVlZXq1G9GozEyMlK78/Ly8jNnzmg0sNls27ZtU+KAgIAqczk15UsOAAAAAAAAANAsUCgDAEDzduDAATUeP3686yvec889atwIY2lMmzZNCcrKynbv3l1bM1mWV69e7bQ39S6+ECIrK0ujZUJCQr3npfK0FrAXTXwX3HvVuV1oaOi9996rxKdPn/7666/d0u2jjz6qxsuWLbPb7fXoRD10six/+umnGi23b9+uFq9MnDhRp3P++WLVqlUaWe3du7ekpESJp06dWmXsmSZ+yQEAAAAAAAAAmj4KZQAAaMZkWd68ebO6OHDgQNfX7dmzp6+vrxJv3bpVlmU3J/ffYmNj1dFu1q5de/z48eptlHqFjIwMp71169ZNjVeuXFnj7XBZljdt2pSUlFTflD2uBexFE98F9151nvA///M/aqwOo9JAAwYMGDx4sBKfPn36L3/5i8aQMKWlpf/4xz+qP37PPfeo4/Hs2LGjtqFZ9u/f/8knnyixr6/v1KlTXcnwwoULK1asqLFWJiUlZdWqVWqHEyZMqNKgiV9yAAAAAAAAAICmj0IZAACasQsXLqizJt1+++1Go9H1dXU63dixY5W4uLjY04UCBoPh5ZdfVhdfe+21NWvW5ObmKjfLLRbLqVOn5s+fr9yPnzhxonZvgYGBt99+uxJfvHgxLi4uJSVFrQYoKytLSUmZP3/+hg0bhBBTpkzxxB41XAvYiya+C+696jwhMDBw+vTpbu/2hRdeUMtcjhw5MnPmzC+++CIvL0+Z3UmW5dLS0jNnzqxatWr69Omff/559R70ev0rr7yiLq5atWrp0qUXLlxQClNsNtulS5eWLVv27rvvqm1eeuklPz8/p7ndd999Qohvvvnm+eefP3HihMViEULY7farV6/Gx8c7bnTBggXV/6Y18UsOAAAAaOVCAjsZ9L7ezgIAAABwwuDtBAAAQP19+eWXavy73/2urquPHj16586dSvzFF188//zzbsusJtHR0U8//fSaNWuUxaSkpBqHfJg3b1737t1rvHlfpVlKSooyRcvly5cd7687iouLi46O3rJlS8Ny95QWsBdNfBfce9V5wgMPPJCYmOjeSYJMJtPKlStfeumlixcvCiFKS0s/+OCDDz74oE6d9OrVa/HixYsXL1bqig4dOnTo0KHaGj///PODBg1ypdthw4b179//7bffzszMdCxjquKJJ54YMmRIjU818UsOAAAAAAAAANDEMaIMAADNlcVi+eqrr5RYkqSoqKi69tCjRw9/f38l3rdvn8b8LO4ybty4N998MyAgoMZnDQbDwoULx4wZ40pXJpNpzZo1ffr0qa2Bn5/fokWL1FFzmqYWsBdNfxfceNV5gp+f38yZM93ebWBg4IoVK2bNmmUwaFXGR0dHr169urZnY2JiPvroo379+mn00LVr1/j4+Lvuusv13EaOHLlo0aLaRsDy9/dfsmSJxgA/Tf+SAwAAAAAAAAA0ZYwoAwBAc3Xs2DFZlpX4rrvu8vHxqWsPkiSNHz9+69atyuLhw4dHjRrlzhRrcvPNN3/yySeHDx/+6aefjh8/fuPGjZCQkN69e48cOXLYsGGuTN2iCg4Ofuedd86ePbtv3760tDRl8IyIiIioqKjhw4fHxMTU45g0vhawF01/F9x41XnC7373u08++aS8vNy93ep0ukmTJt13330pKSk///zzyZMnL1y4YLFY2rRp07Nnz+jo6Ntuuy0iIkK7k9DQ0Lfffvvq1as//PDDyZMnT506VVJSYjKZ+vbtGxUVNWLEiM6dO9cjt1tvvXXDhg2HDh06ePDg6dOnb9y4ERQUFBMTc9tttw0bNkyv12uv3vQvOQAAAAAAAABAkyWpN9gAAAAAAG43e/bso0ePzp07d9asWd7OpekqKSkxm82+vr6BgYHezgWNpLS0VK0R1Ol0bdq08W4+aDQWi6WoqEiSpLCwMG/ngkZSWVlZWFioLoaEhGgPeoeWJC8vTwgRHBxMKXPDXf72eP7P54QQ7br6SXab41OGm4xBfZwMHv9tWe/LFR586bWx2HV5ZUKISdMGV1T8/3/xj/xx7mMvzBNCBPnoQ3zrMOFsB5PNzyb5WGr4OYH9arnt4pUa1zIMHCmFta9z6nCToqIii8Xi7+9f25CuaHmKi4srKiqU2GAwhISEeDcfNBqz2VxSUqLX60NDQ72dCxpJRUVFcXGxutimTRudjolrWgW73Z6fny+axkkvLS298847hRCbN2+OjIxsYG98KAUAAAAAAAAAoEnrMDqmw+iYeq9+txtT0aTXS2rc/aY293TSmstVi48QNY3+qQsSul717BIAAABQUOoFAAAAAAAAAAAAAACAVoERZQAAAACPM5vNZ8+eTUtLO3PmzOXLlwsKCux2e0BAQNeuXXv06NGjR4/+/fu3a9dOkiTnfQEAAACoxl5WXnE+y9tZuFOp0f+yqfnNY2KX/xMXXC8/dyav3l3p2kqyj+y8XaMINAi9O3537KeXfXR2nblSb65wfFyutN+4ZDW2DQvoGuGGzQAAAEAThTIAAACAB12+fHnDhg379++v/pTFYikoKEhJSVEWAwMDH3roobFjx/r51TTCOAAAAIDamc+dP//My97Owp3Sbx+9JPgWb2dRZxabXY0PfvdrcU5SvbtqPzfwhn+ZO5Jyg7s7BevEjYb3MzQi2EeXHZjnbzq6z/Fx2dD96BvnQu++Y9Bfnmj4VgAAAKCNQhkAAADAIyorKz/88MOkJFe/Fy4uLv7HP/6RkJDw0EMPTZ061Wg0ejQ9AAAAAAAAAABaIQplAAAAAPcrLi5esGBBdna2+kiHDh0mTZrUv3//8PBwk8kkSZIsy2az+dq1a2lpaf/6178uXrwohJBledOmTb6+vlOmTPFe+gAAAAAAAAAAtEwUygAAAABuVlZW9swzzxQUFCiLoaGh//d//xcVFVWlmSRJJpOpW7du3bp1u/feey9evPj++++npqY2er4AAAAAAAAAALQWOm8nAAAAALQosiwvWrRIrZLp06dPfHx89SqZ6rp06bJ06dJXXnnF39/fwzkCAAAAgJuZr144vnCssNu9nQgAAADgBIUyAAAAgDt98803p0+fVuLw8PA33njD19fX9dWHDBny0Ucfde3a1TPZAQAAAIBnyLJss3o7CQAAAMA5CmUAAAAAt6msrHz//ffVxZdfftloNNa1E5PJNHToULfmBQAAAAAAAAAAhBDC4O0EAAAAgJbjxx9/tFgsStyvX7/evXt7N5/GJ8tyVlbWL7/8cvLkyXPnzuXn5xsMhs6dO/fu3XvQoEEDBw6sR+WQ2nNaWtr+/ft/+eWX69ev+/v79+3bd8iQIaNGjTKZTN7NDQAAAAAAAADQXFAoAwAAALjNjh071HjKlClu7//AgQN/+9vflHjDhg3aBSKpqamvvvqqEsfHx7dt29bx2aSkpPj4eCVevnx5ly5dnG7dZrM9/PDDFRUVQoh+/fq9+eabjs+WlpZ+/fXXW7ZsKSoqcnzcYrGkp6enp6d/+eWXkiTNnTs3NjZWkiSNDV25cmXOnDlK/Prrrw8YMCA3N/fVV1/Nzc117DY5OTk5OXn16tXz58+/4447NDp0Y24AAAAAAAAAgGaNqZcAAAAA96ioqMjIyFAXb775ZrdvQpZl27+50l5tLMtylafuvPNO9dmdO3e60tuxY8fKysqUVaZOnVrl2QULFiQkJFSpRKme/6pVqxYvXmy327WbOe5mRkbG7NmzHatkqjR+9913k5KSNDp0Y24AAAAAAAAAgGaNEWUAAAAA98jOzlbjsLCwgIAALybjlMlk+u1vf/vdd98JIfbs2fPEE0/4+flpr7JhwwYl8PX1jY6OrrFNt27d7rvvvv79+4eFhfn7+wshbDZbQUFBcnLyunXrzGazEOLYsWMbNmx49NFHXckzLS0tMTFRluV+/frNmDEjMjLS399fluW8vLzExMQ9e/YozdasWTN8+PCQkBCNrtyeGwAAAAAAAACg2WFEGQAAAMA9cnJy1Lhnz55ezMRFkydPVuMffvhBu3Fubm5mZqa6ol6vr9Jg0KBBq1evXrFiRWxsbJcuXUwmkyRJkiQZDIa2bdvee++969ev79+/v9I4MTGxoKDAlSQ3btxotVpnzJjx1ltv3XLLLUq3Op0uIiIiLi7uySefVFtu3bq1tk48lBsAAAAAAAAAoNlhRBkAAADAPa5du6bGXbt29WImLurWrVunTp2UgXA2btx49913S5JUW+Mvv/xSjceMGVO9waxZs7Q35+vr+9prrz322GMVFRVCiN27d0+fPt2VPEePHj1lypQan5owYcKOHTuUI79nz55Zs2bVuAuey62oqEh71ichhNJnZWVleXm5K322TlarVQhhs9k4Sq2HctIVsixz6lsPZVo9TnqrUmXKyIqKisrKSm8lA6+oqKhw/LPvua14ehONjClBq08g60Wy3e6W3x3bbXahq+Hk2mw2u91utVqb7/9H5a99s94F1JXjv3i73c6pbz2U93Kc9Falyns5s9ms8S0iWhL1/VhTOOnq3xy3vEukUAYAAABwj8LCQjUODQ31Yiaue+SRR9566y0hxLVr13799dfIyMgam1ksli+++EKJ+/XrFx4eXr/NmUymyZMnb9y4UdSlGOWJJ56o7SlJkiZPnrx27VohhNlszs/PDwsLa8zc8vLy3nnnHe02yvBClZWVpaWl9cut9bBarY1wFw1NkCzLvEBaIU56q8UNlVZImePS0yobZSuNiUIZWW5CR8Au26sOqlkvNrtNCGH/7wpC8f9Pt2yxWJr7/8fKykqqIVsnu93e3K9e1BWf41qzsrIyb6eAxtYUTrqaA4UyAAAAQBPi+G2gweDknXZRUdFjjz2m0WDp0qVRUVHuyax2Q4cO1ev1yo/Atm3b9sILL9TY7NChQ+rX9L///e8bssWYmBilGKWgoMBsNvv5+TltHxgYqNFAnTJJCNGQQpl65AYAAAAAAAAAaHbcMVYgAAAAACF8fHzU2JVRMWyaGmeYcR8fnwceeECJ9+/fX9svAz799FMl8PX1jY6ObsgWg4OD1dhxDJ7aDBkyxPUOb9y4Ue/ERN1zAwAAAAAAAAA0O4woAwAAALhHUFCQGjewYqMxjR8/fsuWLUq8b9++8ePHV2lw8eLF7OxsJZ48ebJerzXiuCzLFy9eTEtLO3HiRHZ2dm5ubkVFhWMDxwHki4qK2rVrp51e+/bttRsYjUY1tlgsjZkbAAAAAAAAAKDZobutP5QAACAASURBVFAGAAAAcI+2bduqcVZWlnbjoKCgnTt3Vnlwx44dCQkJ7s9MU3h4+IABA1JTU4UQGzduHDdunCRJjg0+//xzNY6NjdXo6vDhw2vXrr169aqLm9aua1H4+vq62Js2T+QmhOjRo8dPP/2k3Wbu3LlCCJPJFB4e7uLWW6GSkhKz2ezr66s90xZaktLS0vLyciXW6XRt2rTxbj5oNBaLpaioSJKkhkyWh+alsrLScai2kJAQp5NUosXIy8sTQgQHBzsOvughZcHXCjy9jcbFK0Wn06rRb2R6vXtOh/JaMFR7Rfj4+Oh0+mb9qaGoqMhisfj7+wcEBHg7FzSS4uJi9fcnBoMhJCTEu/mg0ZjN5pKSEr1eHxoa6u1c0EgqKiqKi4vVxTZt2uh0TFzTKtjt9vz8fNE0TnppaakSuCWT1v5WGwAAAHCXjh07qnFmZmY9etAerMVzfv/73yuFMoWFhWfOnOnXr5/6lNls/uqrr5S4f//+Gjc14+Pjd+3a5elU6+f/sXfn8VHV9+L/P2dmkllCNgIBwhIMOwK5CKgBUUtrKIoVI4q5t4LiAiWC394Uei2KLJe2ot5aERBs6XVBhIBwUQQUKqL81ABqIGwBKRAIAbKQZZLZzpzfH6c9nYZkMslMZpLM6/kHj/c585nP5z3nnEnOMO98Pi2XmyRJjX6BUafwCAAAAAAAAAAQQhTKAAAAAIHRvXt3Lb569WpNTY3FYglhPr4bMmRIdHS0+nchmzZteu6557SHvvzySy1++OGHG+ph7969WiWKTqebOHFiWlpaUlJSVFSUwWCQJEkrFikqKpo5c2aLvIw2mBsAAAAAAAAAIMgolAEAAAACw2QypaSkaHPJHDt2bOTIkS03nKIo3hvIsuxjV5IkZWZmrlmzRgiRm5tbWVkZExOjDvHee++pbYxG47BhwxoaaPXq1WocExOzfPlyL1Pv+p5VQLTm3AAAAAAAAAAAwcfiYQAAAEDA3HfffVqck5MT8P4912ZqtKqjpKTE957HjRunxXv27FGDM2fOaJ1kZGQ0tDJUUVGRtkDsnDlzvC9QffnyZd+z8l9rzg0AAAAAAAAAEHwUygAAAAABM2bMGIPh77M2Hj9+vKCgILD9qxO9qNSVkrzIz8/3vWeLxfKjH/1IjTdu3Oh2u4UQmzdv1hqkp6c39NwLFy5o8cCBA70PdOjQId+z8l9rzg0AAAAAAAAAEHwUygAAAAABExkZ+dRTT2mby5YtczgcAey/U6dOWvy3v/3NS0uHw7F3794mdZ6RkaEGVqv16NGjVqv1yy+/VPfceOONCQkJDT3RbrdrcUOzzmgtd+3a1aSs/NSacwMAAAAAAAAABB+FMgAAAEAgjR8/vm/fvmp85cqVF154IYC1MomJiZIkqfG2bdu8tNywYYM6K4zvkpOTk5KS1Pj999//7LPPtIemTJni5Yme5Tvnz5/30nLt2rUul6tJWfmpNecGAAAAAAAAAAg+CmUAAACAQJIkafHixdoaSUePHp05c+apU6cafaLdbm90sSS9Xn/bbbep8YkTJ7755pt6m/31r3/NyclpStZ/9/Of/1wNjhw58uc//1mNTSbT0KFDvTwrOTlZi19//fV6y00URdmwYcOOHTuakZU/WnNuAAAAQHti6tL7pt/vETq+dAAAAEBrxz0rAAAAEGAdOnRYsWJF165d1c2SkpLs7Oynn3569+7dhYWFtbW1iqKoDzmdzoqKiiNHjqxYseKhhx766quvGu38kUce0eKlS5euX7/+2rVraod2u/3UqVMLFy589dVX9Xr9gw8+2NTMb7nlFm19IlmW1SAjI8P7okXR0dFjxoxR48LCwqysrLy8PJvNpu6pqanJy8vLzs5et26dEGLy5MlNzcofrTk3AAAAAAAAAEDwGUKdAAAAANAOxcbGvv7662+88cbu3bvVPefPn3/ttdd8eW58fPxTTz01ePDgeh/t2rVrZmbm+vXr1c3169drsaff//73DoejqfPKRERE3H///Zs2bfLcmZ6e3ugTZ8+enZeXV11dLYS4dOnS888/X2+zrKys1NTUOv23tNacGwAAAAAAAAAgyJhRBgAAAGgRkZGRc+bMWbFiRVpamo9PufHGG5cuXfq///u/Y8aMkSSpoWYPP/zwzJkzG3q0U6dOK1asGDBgQJMzFkIIcffdd9dJqWPHjo0+y2KxrFq1qn///g01MJlMCxcuHD9+fPOy8kdrzg0AAAAAAAAAEGTMKAMAAAC0oJ49ez777LO1tbUFBQWHDx8uKCi4dOlSaWmp2+02m81JSUm9e/fu0aNHv379+vTpY7FYfOlTkqS777577Nix+/btO3DgwMmTJ2tqajp16nTjjTfeeeedqamp3ldK8q5Tp04DBw48ceKEuvnwww/7+MTY2NiXXnrp1KlTe/fuzc/PLywsFEIkJiYOHjw4LS1t+PDhERERzc7KT605NwAAAASEzmwy9e0d6iwCKaZjbP+EDqHOoskOS8L9jzgm1tSrd3yzu4rvYOpgMgYkK//FRJj1Df8xg+90kjlCl6DTSyK257884I6z9O5m6dL4XykAAADAf5KiKKHOAQAAAEBroSjKI488UllZKYQwmUzr16/3p+wGQogZM2YcOnRo1qxZ06dPD3UurVd1dbXNZjMajdHR0aHOBUFitVpra2vVWKfT+TJ5FdoHh8NRWVkpSVJCQkKoc0GQOJ3OiooKbTMuLs5g4I/3wkVJSYkQIjY2lrrk8BEVFVVTU6PGzz333JIlS0KbD4KmsrLS4XCYzeaoqKhQ54IgqaqqstvtamwwGOLi4kKbD4LGZrNVV1fr9fr4+OZXQ6JtsdvtVVVV2mbHjh11OhauCQtut7usrEy0jpNutVrvuOMOIcTGjRtTUlL87I0rGAAAAMA/nTx5Uq2SEUI88MADVMkAAAAAAAAAANoTCmUAAAAA/NOHH36oxXfddVcIMwEAAAAAAAAAIOCY5hQAAABovszMTJvNVu9Der0+Ojr6hhtuSElJGTVqVN++fVv/7CwVFRVffPGFGqemprISCgAAABBYZ9b/9buF/xuQrgZPGBhx9UIznthtTGfLfb2EEBnbbwxIJp7sLrcWf7br9LzSrQEfwrsxmbEDhroTjFeNdkuHA18JIaShU6Su/xbkNAAAANCaUSgDAAAANJ8sy7IsN/RQaWlpaWnpwYMHN27caDabZ8yY8aMf/UiSpCAn6bv33ntPix999NHQJQIAAAC0T44Ka+WpiwHpSk5LUi4UNeeZ1RHCFS2EOF9eE5BMPCkesbXKcbmoKuBDeFdjM7rcbpdSYRA6UX1ZCCGc9f9tAwAAAMIWSy8BAAAAwVBbW/vqq68+99xzLpcr1LnUo6amZvPmzTt27FA3b7zxxj59+oQ2JQAAAAAAAAAAAo4ZZQAAAIDA2LJli+fiSoqi2O328+fPr1u37rvvvlN3HjlyZPny5b/85S9DlGNdf/jDHz777LM6O3U63a9+9auQ5AMAAAAAAAAAQItiRhkAAAAgMOqsqSRJkslk6t+//6JFi5566ilt/2effXbq1KmgZ+crSZKWLFmSkJAQ6kQAAAAAAAAAAAg8CmUAAACAFjdx4sSRI0dqmx988EEIk6mXTqdLTk7OzMx8++23hw4dGup0AAAAALQxtivnvps/XrjdoU4EAAAAaARLLwEAAADB8Mgjjxw8eFCN9+/fryhKnRloQuKXv/xl61kHCgAAAEAbpiiK7JIMkaHOAwAAAGgEhTIAAABAMPTq1ctzs6KiIi4uznOPoijnz58/fPjwsWPHfvjhh7KyMoPB0KNHj379+o0YMWLYsGGRkc38H2dFUfLz8/ft23f48OHS0lKz2TxgwIBRo0aNHTvWYrH42EML5SbL8nfffbdv377jx4+XlpbGxsYOHjz4rrvuSk1Nvb6QqKys7PPPP8/NzT137pzT6bzhhhtGjRqVnp4eGxsb2lcBAAAAAAAAAGgrKJQBAAAAgkGv11sslpqaGnXTarVqhTJWq/XTTz/dtGlTZWWl51McDkdBQUFBQcH27dslSZo1a1Z6err3eWguX748c+ZMNV68ePHQoUOLi4sXLFhQXFzs2W1ubm5ubu7KlSuzs7Nvv/12Lx22aG5nzpxZsGCBZ8+lpaVffPHFF198kZyc/Nvf/jY6OlrdL8vyn/70p+3bt3t2eOLEiRMnTrzzzjuzZ8++6667gvMqAAAAAAAAAABtGoUyAAAAQIjNmzevsLDQextFUVasWPHVV18tWLBAp9N5aSbLsrZ5+vTp7OxsRVEaavzyyy9brdYJEyYEP7cjR47Mnz+/ocbnzp175pln3njjjcjISJfL9V//9V8FBQUNNV6+fLkQwkutTABfBQAAAAAAAACgTaNQBgAAAAgGWZa16WSEEFFRUXUaJCcn33vvvYMGDUpISDCbzepTysvLc3Nz33rrLZvNJoT49ttv161b98gjj/gyYn5+fk5OjqIoAwcOnDp1akpKitlsVhSlpKQkJydn165darNVq1alpaXVWQeqpXP7/vvvN2/eLIQYOXLkf/zHf/Ts2TMiIsLpdJ45c+bVV18tKioSQpSUlPz5z3/+xS9+8corrxQUFBiNxunTp996662xsbGSJFVWVu7cuXPdunVqh8uXL09LS+vQoUMwXwUAAAAAAAAAoM3hDyUBAACAYKgzo0lsbKwWjxgxYuXKlcuXL09PT+/Zs6fFYpEkSZIkg8HQuXPne+6555133hk0aJDaOCcnp7y83JcR169f73K5pk6d+uKLLw4ZMkTtVqfTJSYmZmVlPfnkk1pLtWalXi2UW05Ojtvtnjlz5oIFC/r06RMZGSlJUmRk5MCBA1977bXExES12Y4dO9avX79///6kpKS1a9dOmDAhPj5ep9NJkhQbGztlypTs7Gytzw8//DDIrwIAAAAAAAAA0OYwowwAAAAQDNrcJ0KIW265RZIkbXP69Onen2s0Gl944YVp06bZ7XYhxM6dOzMzM30ZdNy4cZMnT673oYkTJ27duvXq1atCiF27dk2fPt0zpSDkNmHChLvvvvv6/ZGRkbNmzVq4cKG6uX79eiHE7373u+jo6Osb33777e++++7ly5eFEB9//HFDQ7fcq3C73Z4TBdVLXfpKUZSG1sCCJ45S2OLUhw/tXHPSw0edc83vxDDESfcUwEPR7I6U5j+1LfmX3zhcgUHE+z1scerDB7f0YYhb+rDl+X4P+UkPbAIUygAAAAAtbteuXd988422+cADDzS1B4vFkpGRoVaN+F7G8fjjjzf0kCRJGRkZq1evFkLYbLaysrKEhISmZuVPbtOmTWvooSFDhnhuZmRkxMfH19tSkqR77rln7dq1QoiKioqqqqp662l80bxXcfbs2Yceesh7mz59+gghamtrS0tLm5db+LDb7WqtEsKN2+3mDRJuFEXhpIetioqKUKeAYKusrAx1Cq2I1WoNVFcup0vfvCe6XIHKoRVyulwup1uY/vkyq6urHfzSCZba2tra2tpQZ4EQcLlc3N2FG1mWOelhi8mYw1BrOOna3yu63W7/e2PpJQAAAKClOByOM2fOLF26dMWKFdrOMWPGDBw4sBm9DR8+XA3Ky8ttNpsv7b1XjWiLDQkhysrKmpFSs3MbOXKkxWJp6NHIyMguXbpomz/+8Y+9dNW/f38tvnbtWuO5NqyprwIAAAAAAAAA0OYwowwAAAAQGBkZGZ6rF8myfH2b/v37//KXv2xe/7GxsVpcUVFhMpm8tx81apTvHfpZYtLU3EaMGOG9QVJSkrqgkhCiW7duPg597dq1nj17NpKrb1358ioAAAAAAAAAAG0OhTIAAABAYHif8tFgMDzxxBM//elPdbr6p3VUFKWwsDA/P//o0aMXL14sLi6uswaNZ/+VlZWec67Uq2vXrt4bREZGarHD4fDSMuC5NdpAm2/GaDQaDN4+thiNRi12Op1eWgb8VQAAAAAAAAAA2hwKZQAAAICWEhUV1bt37759+958880DBw6MiIhoqOWBAwdWr1595coVH3v2Xtei8qwg8UdIctPKiQI1rUtLvAohRKdOnZ5//nnvbbZs2SKEiIyM7NChg4+jhyG73e50Og0GAxP5hA/1pKuxJElRUVGhzQdB43K51OXt+KkYPmRZrq2t1TYtFktDdcNof6qrq4UQZrNZr9eHOpfWIlB36UKIZh/V9n069Hq9Tv/3QN1jMpki+aXT8mpra2VZjoiICOBFjlbOZrO5XC411ul0XlZYRjvjdDrtdjsnPaxon+NUUVFRnvNqox1TFMVqtYrWcdK1BAKSCYUyAAAAQGBs2bKlef/jvGbNmo8++ijg+QREyHMLyBdpLfcqYmJi7rvvPu9tPv74YyEEJSDeuVwup9Op1+s5SuFDlmXPQhlOffhwOBw2m42THlacTqdnoUxkZKT36eLQnqiFMpGRkV5KxsNNAA+FTtfMbwh0UnsuVtNJkvohQvsoERERIfFLp+U5HA5ZlvngE1acTqdnoQynPqzY7XZu6cOK3W73LJQxGo3UvocJt9utFsq0hpMuy7IaUCgDAAAAtCLNu0Hfu3evVsOh0+kmTpyYlpaWlJQUFRVlMBgkSdK6LSoqmjlzZsDSbeO5+a59vAoAAAAAAAAAQEBQKAMAAACEjCzLq1evVuOYmJjly5fHx8d7aRysvP4+XKvNzXft41UAAAAAAAAAAAKFOZEAAACAkCkqKlLnrhRCzJkzx0sNhxDi8uXLQUnq71pzbr5rH68CAAAAAAAAABAoFMoAAAAAIXPhwgUtHjhwoPfGhw4dauF0/kVrzs137eNVAAAAAAAAAAAChUIZAAAAIGTsdrsW6/V67y137drV8hn9y4ha3Npy8137eBUAAAAAAAAAgEChUAYAAAAImU6dOmnx+fPnvbRcu3aty+Vq+Yz+qTXn5rv28SoAAAAAAAAAAIFCoQwAAAAQMsnJyVr8+uuv11uooSjKhg0bduzYEcS8hGjdufmufbwKAAAAAAAAAECgUCgDAAAAhEx0dPSYMWPUuLCwMCsrKy8vz2azqXtqamry8vKys7PXrVsnhJg8eTK5NVX7eBUAAABA62fq0vum3+8ROr50AAAAQGtnCHUCAAAAQFibPXt2Xl5edXW1EOLSpUvPP/98vc2ysrJSU1M3bdpEbk3VPl4FAAAAAAAAACAgKO4GAAAAQslisaxatap///4NNTCZTAsXLhw/fnwws1K15tx81z5eBQAAAAAAAAAgIJhRBgAAAAix2NjYl1566dSpU3v37s3Pzy8sLBRCJCYmDh48OC0tbfjw4REREeTmj/bxKgAAAAAAAAAA/pMURQl1DgAAAADQbs2YMePQoUOzZs2aPn16qHNpvaqrq202m9FojI6ODnUuCBKr1VpbW6vGOp2uY8eOoc0HQeNwOCorKyVJSkhICHUuCBKn01lRUaFtxsXFGQz88V64KCkpEULExsZSl6yxl1bWXCwJSFcRRl3z3kwRRqFPjBJCnKowByQTT6nJXWpra9R4zuxf/eo/fxPwIbyzdJRMZiVS79bJsr7Gru4SEVFBTiMMVVZWOhwOs9kcFcXRDhdVVVV2u12NDQZDXFxcaPNB0Nhsturqar1eHx8fH+pcECR2u72qqkrb7Nixo07HwjVhwe12l5WVidZx0q1W6x133CGE2LhxY0pKip+98aEUAAAAAAAAAIBgMCbEGBNiQp3F3/XrHPg+JemfcUysqWfv0H2HqhMiNmSDAwAAoDWj1AsAAAAAAAAAAAAAAABhgRllAAAAALRhNpstMzNTjWfPnj1u3LjQ5gMAANCqlG74P+Uf62IERMTgRH2qrxOiuCNqhBA1slEv9AHMAa2bW4tOHS/ZtvFICFPxU3VSdJcuSlIna3CGi1SUlKtngzDQ6c9sNSWB/LGgstvtsiwbDIbIyEhf2vd77KeW7p0CngYAAIAvKJQBAAAAWlxmZqbNZmvqszp37rxmzZqWyKedkWVZDdxut/eWAAAA4abk3Ry5sjqAHcY+/SPdYJOvrSOEEKLG7Vk7gXZP0aKTR69sfu/7EKbiJ8edvQcMihyiPx2c4aL1lhuOfRiEgf62zn1xf2EQBvIu6a4RFMoAAIBQoVAGAAAAaHGyLGvFHE16VkskAwAAAAAAAABA2KJQBgAAAAgvlZWV06ZNU+O5c+eOHj06tPkAAAAAAAAAABA0FMoAAAAAQbVlyxa9Xh/aHLS5ahRF8d4SAAAAAAAAAID2hEIZAAAAIKgkSQp1Cu2KyWTatm1bqLMAAAAAwl3BiUt33frfOr0u1IkAAAAAjeCeFQAAAAAAAAAA+EVRFKdTDnUWAAAAQOMolAEAAAAAAAAAAAAAAEBYYOklAAAAoK26cuXKoUOHvv/++3PnzpWUlOh0us6dO6ekpAwZMmT48OGJiYktNO7Vq1f3799//PjxEydOWK1Wk8nUv3//wYMHjx49OikpqRkdKoqSn5+/b9++w4cPl5aWms3mAQMGjBo1auzYsRaLJVBpK4py/vz5w4cPHzt27IcffigrKzMYDD169OjXr9+IESOGDRsWGRkZqLEAAAAAAAAAAK0ThTIAAABA21NVVfWHP/zh4MGDdfYXFhYWFhZ+/vnnQohBgwY98cQT/fr10x6dNWvWpUuXFEXR9ixbtkynq2eayZycHIOhng8LFRUVy5YtO3LkiOdOh8Nx8ODBgwcPvv322ykpKb/5zW+81Ohcvnx55syZarx48eKhQ4cWFxcvWLCguLjYs8Pc3Nzc3NyVK1dmZ2fffvvtXg6FzWbLzMxU49mzZ48bN+76Nlar9dNPP920aVNlZWWdzAsKCgoKCrZv3y5J0qxZs9LT0yVJ8jIcAAAAAAAAAKBNY+klAAAAoI2pqKh48sknr6+SqeP48ePZ2dm1tbXaHlmWZVl2u93aHkVR5PrU2+GRI0ceffTROlUydZw5c+aJJ57Yv39/Qw08RxRCnD59esaMGZ5VMnUav/zyyzt27PD+SrUOPV+ap3nz5q1du7ZOlcz1Y61YsWLRokUNdQIAAAAAAAAAaAeYUQYAAABoYxYtWlRTU6PGaWlpGRkZ3bt3t1gskiS53e7q6mp1Upldu3YFcNCzZ8/Onz9f20xNTZ06dWpycnJERITL5bp48eK6deu++eYb9dEXX3xxyZIlqamp3vvMz8/PyclRFGXgwIFTp05NSUkxm82KopSUlOTk5Gj5r1q1Ki0tLS4uzs+XkJycfO+99w4aNCghIcFsNgshZFkuLy/Pzc196623bDabEOLbb79dt27dI4884udYAAAAAAAAAIDWiUIZAAAAoC25ePHi6dOn1fjf//3fH374Yc9H9Xp9bGxsbGzskCFDpk+fvm3bNs9HV69eLYS4du3a1KlT1T1z584dO3Zso4PKsrxo0SJt87HHHrv//vu1zYiIiN69e8+fP/+TTz55/fXX1Z1Lly599913IyMjvXS7fv16IcTUqVMfeOABbcEjSZISExOzsrJ69er15ptvqjs3b978+OOPN5pnQ0aMGPHss8/26NGjzn6DwdC5c+d77rnnJz/5yYIFC44fPy6EyMnJmThxYnx8fLOHAwAAAAAAAAC0WhTKAAAAAEGVkZGhFYV4t3Llym7dutXZeerUKS1+4IEHvDzdbDZPmTLl+v06na7e2Iu//vWvpaWlajx+/HjPKhlP6enply9fzsnJEULYbLbNmzdnZmZ673ncuHGTJ0+u96GJEydu3br16tWrQohdu3ZNnz7dx+N2venTp3tvYDQaX3jhhWnTptntdiHEzp07G81cVVxcvGzZMu9trFarEMJut3tf+ynMuVwuIYTT6eQohQ/PVd4UReHUhw91hTtOelhRFMVz02q1Nvt3OpqhzvH3nyzLPt1BAm2f2+2WZVcQhwvwu7XhgVrFarNWq9XIzUAbp36OU8myzN1d+FB/jLjdbk56+Kjzu6Oqqopb+jChfZpoDSddm2Q9IDczFMoAAAAAQeX7fXy932poBSsmkykiIiJgaXn1/vvva/Fjjz3mpeWUKVO2bNmi/mfZ5s2bp0yZ4r0Wx8s8MZIkZWRkqLPg2Gy2srKyhISEJqfuM4vFkpGRoU5y43uhTE1Nzb59+7y36dOnjxBClmWHw+F/nu2b2+3mKIUnRVE49WGIkx62nE5nqFOAX4L2XT4QcoqiBPOCV0SQxgp4/VzzOJ1ObgbaE27pwxAnPZxxSx+GWsNJD+zPHKr/AQAAgLYkOjpaDWw2mzpVSUsrKSlRp3URQowbN85isXhpHBkZ+bOf/UyNHQ7H2bNnvTQePny49nLqNWjQIC0uKyvzMeFmGz58uBqUl5fbbLaWHg4AAAAAAAAAEHzMKAMAAAAE1ZYtW/R6fbOf3q9fPy3+/e9//+yzz3qvXPHf+fPntfi2225rtP2tt976wQcfqPHp06dTUlIaajlq1CjvXcXGxmrxtWvXGh3aT57DVVRUmEymlh4RAAAAAAAAABBkFMoAAAAAQeXnYq69e/fu3r37xYsXhRB5eXkPP/zwbbfdNmHChD59+rRQxYw6liopKanR9l27dtXic+fO+diyXpGRkVrs/9SaiqIUFhbm5+cfPXr04sWLxcXFdrvds4HnqliVlZVdunRptE+TyXTTTTd5b6NO/KPT6YK2VFZbJMuy2+3W6XT+lJGhbVFPuhpLkmQw8B8U4UJRFHWFPn4qhg/tpKsMBkPI17aHP3Q6Th/ChSRJUhAv+KCN1Ep+CBsMBm4G2jpu6cOW2+2WZZmTHlbUk65tcksfVtRFl1rDb+3A5sDPLwAAAKAtkSRp0aJFs2fPrq2tVfd8+eWXX375pRAiISHh5ptvHjVq1KBBg6KiogI14qVLl7Q4Jiam0faeQ3sW2VzPaDT6k1iTHDhwYPXq1VeuXPGxvY91OUlJSWvWrPHeZsaMGUIIk8nkOWMN6qiurrbZbBEREd5XgKT2IwAAIABJREFU40J7YrVatZ9jkiTxBgkfDoejsrKSkx5WnE5nRUWFttmhQwe+Uwmm4kB/h0FVK8KHTqcz6IP380qn07Wzgbzr0KEDNwNtXVVVlfb3J3q9nhMaPmw2W3V1tU6n46SHD7vdXlVVpW3GxMS0kt8maGlut7usrEwIER0dHfKTrn2QDEgmfCgFAAAA2pjExMS//OUva9eu/eSTTzz3l5aW7tixY8eOHUKIkSNHPvroo7169fJ/OPWPBlS+fK3l+UGlzpQtobJmzZqPPvoo1FkAAAAAAAAAAEKPQhkAAACg7bFYLE8//fT06dO///77/fv35+bm1ilJOXjw4MGDBzMyMqZNm+bnVKiec1p6TrLaEM8FjII5Z0xD9u7dq1XJ6HS6iRMnpqWlJSUlRUVFqfPEasenqKho5syZocsUAAAAAAAAANDiKJQBAAAA2iqLxTJ69OjRo0crinLt2rUzZ8588cUXn3/+uVbO8sEHH/Tq1WvcuHH+jNKlSxctrqqqanRRJ6vVqsVJSUn+DO0/WZZXr16txjExMcuXL4+Pj/fSOFh5AQAAAAAAAABCg8XDAAAAgDZPkqT4+PgRI0b8v//3/3JycqZPn649tGbNGs8pXpqhR48eWlxUVNRo+8uXL2txcnKyP0P7r6ioSCvcmTNnjpcqGfGvmQMAAAAAAAAA2iUKZQAAAIB2xWAwTJo0KT09Xd2sqakpKytrqLGiKI122KtXLy3+6quvGm2fm5urxX369Gm0fYu6cOGCFg8cONB740OHDrVwOgAAAAAAAACAEKNQBgAAAGiHRo8ercVVVVWeD+l0//wU4HK5Gu2qc+fOnTp1UuNPPvnEZrN5aex0Ordt26bGkZGRKSkpvufcEux2uxbr9XrvLXft2tXyGQEAAAAAAAAAQolCGQAAAKAd8pxFpkOHDp4PmUwmLb569aovvU2ZMkUNFEV57733vLTcsmWLVpty3333eRblhIRW4iOEOH/+vJeWa9eu9aVsCAAAAAAAAADQplEoAwAAALQlGzduPHLkiCzLXtrU1ta+8847amwymTyLRYQQBoMhKipKjQ8cOODLoD/5yU/i4+PVeOvWrQ3NvLJv3753331XjY1G44MPPuhL5y0qOTlZi19//fV6S2EURdmwYcOOHTuCmBcAAADQ3gwYlFRkfUMf6lp5AAAAoFHcswIAAABtyQ8//DB//vwpU6asWbMmLy+vrKzM6XSqD8myXF5evnfv3qeeeqq8vFzdOXPmTEmS6nQybtw4NThx4sSHH35YVVWlKIqXQfV6/fPPP69trlixYunSpefOnVPrTmRZvnDhwiuvvPLyyy9rbf7rv/7Lc+qaUImOjh4zZowaFxYWZmVl5eXlaatH1dTU5OXlZWdnr1u3TggxefLkkCUKAAAAAAAAAAgKQ6gTAAAAAMJLRkbG9ZUrDXnjjTe6dOly/X6Hw/HRRx999NFH3p8+fvz4H/3oR9fvnzRp0ocffqjGb7755ptvvimE0Ol0WmI5OTkGw798WOjbt++iRYsWLVrkdruFEN98880333zT0Lj/+Z//OWLECO+5Bc3s2bPz8vKqq6uFEJcuXfKs+PGUlZWVmpq6adOm4GYHAAAAAAAAAAgqZpQBAAAAgsrtdss+8z7RixfR0dFz586dNWtWvUU5nTt3/vWvf13nIc/E6u1z+PDhf/nLXwYOHOhl3F69eq1Zs+bOO+9sXtotwWKxrFq1qn///g01MJlMCxcuHD9+fDCzAgAAAAAAAACEBDPKAAAAAG3JvHnzrl69ev78+bNnz/7tb3+7dOnS1atXa2tr3W53bGxsr169Bg8ePHz48P79++t03srix4wZ8/7773/99dcHDhw4e/ZscXGxuo6Sd/Hx8cuWLbty5cqXX3557Nix48ePV1dXWyyWAQMGDB48ePTo0T169Ajcaw2Y2NjYl1566dSpU3v37s3Pzy8sLBRCJCYmDh48OC0tbfjw4REREaHOEQAAoEV0vP8et90ewA4ju3fTR8T62Li2tlYIYTQavd+aon35Zzl+Sv+ECZMGhzAVP1l7xXbtJnrGBunDglERUr+fBmGgnpPs8Wk1Ae/W4XDIsmwwGHz8eGXplhDwHAAAAHwkNftPVAEAAAAAjZoxY8ahQ4dmzZo1ffr0UOfSelVXV9tsNqPRGB0dHepcECRWq1X99lQIodPpOnbsGNp8EDQOh6OyslKSpIQEvh4LF06ns6KiQtuMi4urs8Ij2rGSkhIhRGxsLHXJ4SMqKqqm5u9FGM8999ySJUtCmw+CprKy0uFwmM3mqKioUOeCIKmqqrL/oxbTYDDExcWFNh8Ejc1mq66u1uv18fHxoc4FQWK326uqqrTNjh07UgYdJtxud1lZmWgdJ91qtd5xxx1CiI0bN6akpPjZG1cwAAAAAAAAAAAAAAAAwgJ/vQEAAAC0JTabLTMzU41nz549bty49jdiqJw6dWrevHlqvHLlym7duoU2HwAA0I7Jdqftcnmos2hxtWVlQoiISkegphEyREj+/CGrpBdSgjkgmbQtdpuorZYabxcInlPYV9tdxZW24IyLgNPrFH2EWwgRqRM6Hy4fm7vW4XYIWZFcQqe4TU5Hi6eo0RmEydcl4QAAAASFMgAAAEDwZWZm2mxN+//it956KyYmRo1lWVYDt9sd4MwaEPwRQ0V7paxRCwAAWlTpoYLtt80JdRZtz+jHRsinC5r9dOON3S0vDwtgPm3F93t7vL+mLDhjOR2yFm/4vnjfqv8vOOMi4NJHRpZFnhdCjEvqqJdKfX1atRBCdNR3uPPb/2ux1K7TsY/ujvnBGw4AALR9FMoAAAAAwSbLslaQAQAAAAAAAAAAgsaPeSoBAAAAAAAAAAAAAACAtoMZZQAAAIBQ2rJli16vD3UWAAAAAAAAAACEBQplAAAAgFCSJKlJ7U0m07Zt21ooGQAAAABohoqqix/ufS599LOhTgQAAABoHEsvAQAAAAAAAACA5lOEcLtlIZRQJwIAAAA0jkIZAAAAAAAAAAAAAAAAhAWWXgIAAADaP0VR8vPz9+3bd/jw4dLSUrPZPGDAgFGjRo0dO9ZisQRwlPPnzx8+fPjYsWM//PBDWVmZwWDo0aNHv379RowYMWzYsMjIyBDmL8vyoUOHvv7667y8vPLy8ri4uAEDBowePfqWW25pdmIAAAAAAAAAgLaFQhkAAACgLbHZbJmZmWo8e/bscePG1Wlw+fLlmTNnqvHixYuHDh1aXFy8YMGC4uJirY3D4cjNzc3NzV25cmV2dvbtt9/uZ1ZWq/XTTz/dtGlTZWWl536Hw1FQUFBQULB9+3ZJkmbNmpWeni5JkpeuWij/kydPLl68uKqqSttTUlJSUlKyf/9+o9H47LPP3nTTTU17zQAAAAAAAACANoillwAAAIA2Rv4Ht9t9/aOKomgNhBCnT5+eMWOGZ5VJncYvv/zyjh07/Exp3rx5a9eurVMlc/1YK1asWLRoUb1pezYLeP67d++eO3euZ5WMJ7vdvnDhws8//9x7JwAAAAAAAACAdoAZZQAAAIB2Kz8/PycnR1GUgQMHTp06NSUlxWw2K4pSUlKSk5Oza9cutdmqVavS0tLi4uL8HC45Ofnee+8dNGhQQkKC2WwWQsiyXF5enpub+9Zbb9lsNiHEt99+u27dukceeSRo+efn57/22mva5o9//OPJkyd37dpVp9PZbLbTp0+vWbPm3Llzr7zyygMPPODnEQAAAAAAAAAAtHLMKAMAAAC0W+vXr3e5XFOnTn3xxReHDBlisVgkSdLpdImJiVlZWU8++aTWcvPmzf4MNGLEiJUrVy5fvjw9Pb1nz57qQJIkGQyGzp0733PPPe+8886gQYPUxjk5OeXl5cHJX5blpUuXapvPPffcM8880717d71eL0mS2WweOnToH//4R3UFKz8PAgAAAAAAAACg9WNGGQAAACCUMjIyJEny0qBz585r1qxpdv/jxo2bPHlyvQ9NnDhx69atV69eFULs2rVr+vTp3jPxYvr06d4bGI3GF154Ydq0aXa7XQixc+fOzMxMX3r2M//du3dbrVYtyZtvvvn6fnQ63TPPPHP27NkzZ874kpInq9X69ddfe2/jcDiEEC6XS33tqJe60pYsyxyl8KGedJWiKJz68OFyuQQnPcx4vt+FEA6Ho86e8OR0OkOdQpvkfRHPRilKoBJpY9yKX8cN4Ul7u7kVRd/ET4pKcN9sbrfbyX1FKHj+TObuLqxwSx+G1JOucTgczf5fRLQt2u/01nDStZ85AbnToFAGAAAACKVG/6/fz2+SHn/88YYekiQpIyNj9erVQgibzVZWVpaQkODPWN5ZLJaMjIz169eLphTK+Jn/+++/rwZms/nee+/10lVWVlZ2drYvKXm6fPnyr3/9a+9t+vTpI4RwOBxVVVVN7T/cuFwujlJ4UhSFUx+GOOlhq6amJtQptAoch+Zxy7I//z2viDCtlKE6Dc2gXTayLEc0cXECP2vamsrtdnNfEXKyLHMWwg1vvXBWXV0d6hQQbK3hpGufoQJSKMPSSwAAAEC7NXz48OjoaC8NtOWQhBBlZWVByEcNysvLbTabL+39yb+0tLS0tFSNJ02apNfrvXTVt2/fmJiYRlMCAAAAAAAAALRpzCgDAAAAhNKWLVu8F3D4Y9SoUd4bxMbGavG1a9daKI16h6uoqDCZTN7b+5n/2bNntXjkyJHeu5Ik6c4779y2bZv3ZgAAAAAAAACANo1CGQAAACCUWnRt165du3pvEBkZqcUOh8PP4RRFKSwszM/PP3r06MWLF4uLi+ssVu05/3ZlZWWXLl28d+hn/kVFRVqcmJjovSvxjzWSAAAAAAAAAADtGIUyAAAAQLtlNBqDNtaBAwdWr1595coVH9v7UpfjZ/6XLl3SYovF0mj7Tp06NXWInj17fvjhh97bLFiwQAhhNps7duzY1P7Dh9VqtdvtRqMxKioq1LkgSGpqarQl2HQ6XVxcXGjzQdA4nc6qqipJkuLj40OdC4LE5XJVVlZqmzExMQYD/ycpXF7Xl0RDDAaD7MfTdS1ZpN6a8aZDM2iXjaHpc6C23LSp9TIYDHzaConq6mrto73BYGA54/Bht9utVqter/ec6Bftm8PhqK6u1jbj4uJ0Ol0I80HQuN1udRrv1nDStf8rDkgm3B8DAAAA8NeaNWs++uijUGdRl2ctji8fn5pRlxMREdGtWzfvbdShJUkK+YfJ1kybWomjFD7qzKfFqQ8fvN/D0PXvd86+4C3QbOFa6eInSXDc0GTaT+8WnQY1UPihGhLc0octbunDELf0aA0nPbAJUCgDAAAAwC979+7VqmR0Ot3EiRPT0tKSkpKioqIMBoMkSdpn6aKiopkzZwYtMc+Fmdxud6N/1FhnoSgAAAAAAAAAQPtDoQwAAACA5pNlefXq1WocExOzfPlyL0tpyLI/M+U3WZcuXbS4pqam0QmBS0tLWzgjAAAAAAAAAECIMScSAAAAgOYrKiqyWq1qPGfOHC9VMkKIy5cvByWpv+vevbsWX7lypdH2Z86cacl0AAAAAAAAAAChR6EMAAAAgOa7cOGCFg8cONB740OHDrVwOv+id+/eWvztt9822v6zzz5rwWwAAAAAAAAAAK0AhTIAAAAAms9ut2uxXq/33nLXrl0tn9E/derUSZvhZsuWLd4Xfjp9+nRFRUVQ8gIAAAAAAAAAhAyFMgAAAACar1OnTlp8/vx5Ly3Xrl3rcrlaPqN/MWXKFDWoqanZuXNnQ80URVm5cmWwkgIAAAAAAAAAhAyFMgAAAACaLzk5WYtff/31ekthFEXZsGHDjh07gpjX36Wnp1ssFjVevXr1d999d30btUrm9OnTwU0NAAAAaD/iortPve/txIQBoU4EAAAAaByFMgAAAACaLzo6esyYMWpcWFiYlZWVl5dns9nUPTU1NXl5ednZ2evWrRNCTJ48OcjpGQyGZ599Vtt84YUXVq1aVVxc7Ha7hRAOh+P48ePZ2dnqmlD33XdfkNMDAAAAAAAAAASZIdQJAAAAAGjbZs+enZeXV11dLYS4dOnS888/X2+zrKys1NTUTZs2BTc7kZqa+otf/GLVqlXq5o4dO+qd22b27Nm9e/f+v//7v+BmBwAAAAAAAAAIKmaUAQAAAOAXi8WyatWq/v37N9TAZDItXLhw/PjxwczK04QJE373u99FRUXV+6jBYJg/f/5dd90V5KwAAAAAAAAAAMHHjDIAAAAA/BUbG/vSSy+dOnVq7969+fn5hYWFQojExMTBgwenpaUNHz48IiIitBneeOON77777oEDB77++uvvvvvu2rVrcXFx/fr1u+2222699VaTyRTa9AAAQLjRRRhMiXGhzqLFqetd6nQB+3NNyWwyxMc2++m66GidZA5UMm1IpDEiJjZId7yS9M/YbNB1tEQGZ1wEnFFviI4wCSGMugi9rvHrR1EURVEkSZIkKVIXIYwxLZ/j30mR9f9RBAAAQEMkRVFCnQMAAAAAtFszZsw4dOjQrFmzpk+fHupcWq/q6mqbzWY0GqOjo0OdC4LEarXW1taqsU6n69ixY2jzQdA4HI7KykpJkhISEkKdC4LE6XRWVFRom3FxcQYDf7wXLkpKSoQQsbGxIS+bRtBERUXV1NSo8XPPPbdkyZLQ5oOgqaysdDgcZrO5obk80f5UVVXZ7XY1NhgMcXHtvwAUKpvNVl1drdfr4+PjQ50LgsRut1dVVWmbHTt2DGAlNFozt9tdVlYmWsdJt1qtd9xxhxBi48aNKSkpfvbGFQwAAAAAAAAAAAAAAICwwF9vAABCz2aznTp1Kj8//+TJk5cuXSovL3e73VFRUb169brhhhtuuOGGQYMGdenSRfKcvbddO3Xq1Lx589R45cqV3bp1a9HhbDZbZmamGs+ePXvcuHEtOhzasSBfumEr+O9ZfkoAAAAAAAAAANoNCmUAAKF06dKldevW7du37/qHHA5HeXl5Xl6euhkdHf3QQw+NHz/eZArSotqhJcuyGgRnkURtOHX9eKDZAnjpZmZm2mw2zz1r1671fULX+fPnHzt2zHPPsmXL+vXr52dWrUTw37P8lAAAAEDYylu6rmj3oVBn4avBY7oqVRXX70+ac0tV93/Z8/6BG/IKnQFPwCH/88Ngbun5Vw7vliRpRIJbCNFZ0Q88cyDgIwafbmimiOsV6iwAAADQfBTKAABCw+l0/ulPf9qxY4eP7auqqv785z+vXbv2oYceevDBByMjI1s0PQAhJ8uyVpyh+vzzzydNmuTLc69du3bkyJGWyQsAAABAeKk4eb7487xQZ+GrvkkO54UL9TwgD3C4az13nClJPFRYE/AE3B5/NVFmtxZUXNFLul5RshDCqIsWJScDPmLwKc6acJn0GAAAoJ2iUAYAEAJVVVXz5s27ePGitqdbt26TJk0aNGhQp06dLBaLJEmKothstqtXr+bn53/88ceFhYVCCEVRNmzYYDQaJ0+eHLr0AYTGpk2b7rvvPl9WYdu7d2/LpxMYlZWV06ZNU+O5c+eOHj06tPkAAAAAAAAAANC+USgDAAi2mpqap59+ury8XN2Mj4//9a9/PXjw4DrNJEmyWCzJycnJycn33HNPYWHhG2+8wRQRQBjS6XSKoiiKUllZeebMmT59+nhvryjKpk2b1DgyMtLhcLR8jn4J8lJrAAAAAAAAAACEMwplAABBpSjKwoULtSqZ/v37L1261Gg0NvrEnj17Ll269MCBAy+//HIL5wigdbFYLGPGjNm1a5cQYvv27XPmzPHe/ocffqisrBRC6HS6u+++e+vWrcHIMohMJtO2bdva94gAAAAAAAAAALQQXagTAACElz179pw4cUKNO3Xq9Nvf/taXKhnNqFGj/vKXv/Tq1atlsgPQSt19991qsHv37kZniNm+fbsajB8/vkuXLi2bGQAAAABACNuVc9/NH199Nj/UiQAAAACNo1AGABA8TqfzjTfe0DafffbZyMjIpnZisVhuvvnmgOYFoLXr3bt3fHy8Gh88eNBLS7vdvmfPHjWeMGFCi2cGAAAAABBCKIoiuwTryQIAAKAtYOklAEDwfPXVV9pUEAMHDuzXr19o8/Gdoijnz58/fPjwsWPHfvjhh7KyMoPB0KNHj379+o0YMWLYsGFNqviRZfnQoUNff/11Xl5eeXl5XFzcgAEDRo8efcsttzSjckjr8+jRo999992xY8fOnz/vcrkSEhKGDh36b//2b6NGjWp2tw25evXq/v37jx8/fuLECavVajKZ+vfvP3jw4NGjRyclJQV2rOZxOp25ubn79+8/efKkepBTU1NvueWWUaNG6fV63/sJ8oEN7JVWp+f8/Px9+/YdPny4tLTUbDYPGDBg1KhRY8eOtVgsPnbSEpeujyRJmjx58ptvvimE2LRp0+jRoxtqqZXRxMfHJycnHz161PdRWuj4y7J85MiR/fv3Hzt27MqVKy6Xa/DgwUuXLm1GV/4IyDXgixBeJz4K8vsaAAAAAAAAANCqUCgDAAierVu3avHkyZMD3v8XX3zxP//zP2q8bt0671/9HjlyZMGCBWq8Zs2azp0719vMarV++umnmzZtqqys9NzvcDgKCgoKCgq2b98uSdKsWbPS09MlSWo0yZMnTy5evLiqqkrbU1JSUlJSsn//fqPR+Oyzz950002NduJJUZSdO3euXbvWbrd77i8qKioqKtq1a5der3/qqad++tOf+pJeoyoqKpYtW3bkyBHPnQ6H4+DBgwcPHnz77bdTUlJ+85vfJCYmNtRDwE/T5cuXZ86cqcaLFy8eOnTokSNH/vu//7u2tlZrU1JSsmfPnj179kRFRc2fP3/IkCGNvtIgH9gAXmnXH5Di4uIFCxYUFxd7dpubm5ubm7ty5crs7Ozbb7+90QwDfuk21e23364Wypw+fbq0tDQhIaHeZjk5OWrw4IMP+n5qAnX8rz/4BQUFixcvrtOt0+kUQsyaNevSpUuKxx9cLlu2TKerZ8bHnJwcg+Gf9+02my0zM1ONZ8+ePW7cuEbT8PMaaHREjS/XyalTp+bNm6c+unLlym7dul3fT0v8PBdBf18DAAAAAAAAAFohll4CAASJ3W4/ffq0tnnjjTcGfAhFUeR/8KW91lhpeGbgefPmrV27ts6X3NePu2LFikWLFrndbu8j7t69e+7cuZ5fIXuy2+0LFy78/PPPfUleVVNTM3fu3FWrVtX50teTLMurVq1asmSJj4fFiyNHjjz66KN1qmTqOHPmzBNPPLF///6GGgT8NNXpMDc3d/78+Z5VMp6sVutvfvObjz/+2PugQT6wIqBXWp0Dcvr06RkzZnhWSNRp/PLLL+/YscN7egG/dJshNjZW+7nx2Wef1dumpKTkzJkzajx27FjfOw/U8a9z8A8ePPirX/2qoW7VZp69eT7dU0PPrfP0htIIyDXgfUSV79dJU9/XjfLl53nw39cAAAAAAAAAgFaIGWUAAEFy8eJFLU5ISIiKigphMk2VnJx87733Dho0KCEhwWw2CyFkWS4vL8/NzX3rrbdsNpsQ4ttvv123bt0jjzzSUCf5+fmvvfaatvnjH/948uTJXbt21el0Npvt9OnTa9asOXfu3CuvvPLAAw/4kpXdbn/mmWcuX76sbnbu3HnatGnDhg2LiYmRJMlutxcUFLz55pvnzp0TQhw8ePCVV17RZnFohrNnz86fP1/bTE1NnTp1anJyckREhMvlunjx4rp167755hv10RdffHHJkiWpqanNHq55Dh069MEHHwghevToMWPGjP79+5tMJrfbXVxcvHnz5t27d6vN3njjjW7dug0fPrzeToJ8YD0F5ErzlJ+fn5OToyjKwIEDp06dmpKSYjabFUUpKSnJycnZtWuX2mzVqlVpaWlxcXENdRLYS7fZJk+erC6l9MEHHzzwwAPXz/mxZ88eNRg6dGhsbGxT+w/s8T906NCWLVuEEH379n300Uf79u2rHvwrV654qSQLuIBcAz4O1Equk3qF8H0NAAAAAAAAAGhVmFEGABAkRUVFWtynT58QZtIkI0aMWLly5fLly9PT03v27GmxWCRJkiTJYDB07tz5nnvueeeddwYNGqQ2zsnJKS8vr7cfWZaXLl2qbT733HPPPPNM9+7d9Xq9JElms3no0KF//OMf1QVNNm/e7Etur732mval7913371mzZrbb789Li5Op9NJkmQymYYNG/bHP/4xPT1dbfPll196nwzGC1mWFy1apG0+9thjS5Ys6devX2RkpCRJERERvXv3nj9//tNPP621Wbp0qcPhaN5wzaZWyYwdO3b58uWpqalms1mSJL1e37179zlz5miLswghfve736nL31wvmAdWE6grrY7169e7XK6pU6e++OKLQ4YMUbvV6XSJiYlZWVlPPvmk1rKhq64lLt1mS01N1ev1Qojq6upTp07VedTtdquFKUKIppZitMTx/+CDDxRFmTRp0iuvvDJs2DDt4Hft2lVNb/Xq1du2bXv77be1p8ydO3dbfTzXXWoq/68BX7Sq66ReIXlfAwAAAAAAAABaIQplAABBcvXqVS3u1atXCDNpkunTp/fo0cNLA6PR+MILLxiNRnVz586d9TbbvXu31WrV+rz55puvb6PT6Z555pmUlBRfEjt9+vQXX3yhxjfffPOMGTPUAoLr+8zKyurdu7e6+eqrr3pZl8SLv/71r6WlpWo8fvz4+++/v95m6enpDz74oBrbbLaQfB3eo0eP7Ozseo/GyJEjn3rqKTW22Wz1LsAU5AOrCdSVdr1x48ZNnjz5+slXhBATJ07s3LmzGu/atavelxDwS9cfBoPh7rvvVuOPPvqozqMnT56sqakRQuj1+qbOZtRCxz81NfWxxx6r9+BrdDpdvXEA+XkN+KJVXSfXC9X7GgAAAAAAAADQCrH0EgAgSCoqKrQ4Pj4+hJk1Iyt1AAAgAElEQVQEnMViycjIWL9+vRBi586dmZmZ17d5//331cBsNt97770NdSVJUlZWVnZ2dqODvvfee1r8zDPPePkmXpKk2bNnq31evXr1woULPXv2bLT/OrT8hRCPPfaYl5ZTpkzZsmWLy+USQmzevHnKlCkt9N1/Q7KysryMOGHChHfffVctp9iwYcPPfvazOocuyAe2SXy50q73+OOPN/SQJEkZGRmrV68WQthstrKysoSEhDptAn7p+umnP/3phx9+KITYu3fvrFmzTCaT9tC2bdvU4J577qm3DMJPzTj+M2fO9F4lExx+XgO+aG3XSR0t+r7+29/+9vOf/9x7G7WTmpoareIQDXE4HByl8OFZi+Z2uzn14UZRFE562PL8bIgwUVlZGeoU/GK320OdQhPIslzvfper7qSq6if3YHJel0MbVVlZ6dLxW6x+NptNXbkY4cblcnF3F25kWeakhy0f5ztHe9IaTrr6zY4Qwu12+98bhTIAgCDxXOam0WVEKisrp02b5qXB0qVLBw8eHJjMAmH48OHq1+fl5eU2m83zy3shRGlpqfaZYdKkSd6/wu/bt29MTIz3/0asra09ePCgGt9xxx3R0dHe0+vbt6/ZbK6trRVCfPXVV02t5ygpKdEmBBo3bpzFYvHSODIy8mc/+5m6BJLD4Th79mwwJ5AwmUzeLwy9Xp+RkfHuu+8KIaqrq4uLi7t166Y9GuQD2wzer7R623t/FdpyQkKI64skAn7p+q9Hjx6dO3dWL8gDBw6MHTtW3V9TU7N//341Hj9+fAuN3qTjn5iY2L179xbKxHd+XgO+aIXXiaeWfl8ritLoFydaNQBT1DSKQxTOOPthiJMetjj1YYiTjnZGURSu6oZwZMIZZz8McdLDFqc+DLWGkx7YHFh6CQAQJBEREVrsyx8tyV61hl/JnmJjY7X4+r+PPHv2rBaPHDnSe1eSJN15553e23h2qBUKeO9z6NChanzixIlG29dx/vx5Lb7tttsabX/rrbdq8enTp5s6nD9uu+22RifwuOmmm7T4zJkzng8F+cA2g/cr7XqjRo3yvcNr167VeTTgl67/JEnSlvfKycnR9n/99ddqkJiY6H0RJX806fj7cgkFgZ/XgC9a4XXiqfW/rwEAAAAAAAAAwcSMMgCAIImJidHi5n0XG0KKohQWFubn5x89evTixYvFxcV15g/wnOetsrKyS5cuno8WFRVpcWJiYqPD9enTx3uDCxcuaHGvXr0a7VAI0bNnz9zcXCHEyZMnfWnv6eLFi1qclJTUaPuuXbtq8blz55o6nD/69evXaBvPs+N5JEXQD+z1/LzSrud5LuoVGRmpxQ6Ho86jAb90A2LMmDErV64UQpw9e/bq1audO3cWQmzcuFF99MEHH2z2akeBPf5BmGHIF35eA75ondeJJuTvawAAAAAAAABAq0KhDAAgSNQvs1WeM5TUKyYmZtu2bXV2bt26de3atYHPrDEHDhxYvXr1lStXfGx//TfNly5d0mLv6xapOnXq5L1BYWGhFs+ZM0en04l/TDqnTf+r/ut2u9VAW6S8qqpKUZQmVRJ45u9Z8NSQqKgoLfYssgkCz8usIWazWYs9X5oI+oGtw/8r7XpGo7HZ+YgWuHQDIjo6+qabbvr222+FEHv27Hn44YcvXbqk1WqMGTOmed0G/PjHx8c3L5PA8vMa8EXrvE40Lf2+jo+P/8UvfuE9h88//1wIERER4cvxCVsOh8Plcun1+iBctGgl1JOuxpIkef6CRvsmy7JaispPxfDhdrttNpu2aTKZ1N/ICAc1NTVCCKPR6H2BzlaubSUv6eq/fdXp9EK4/nVPsN+J7ea9bzKZ3PwWu47dbpdl2WAweP49Bto3z1t6nU7X6BLhaDdcLpfD4eBzXFjRPsepzGazP/8TjjZEURR1kfr2d9IplAEABInnTCR11rvxUUj+Z2rNmjUfffSRn514fqHuy/8KNfodoXpfovL8H+cW4nQ6tdhgaPzmwfM11pmQo6X58n8xnhdSnfSCfGA9BeRKC7iAX7qBcv/996uFMlu3bn3ooYc++eQTdf/IkSM7dOjQjA5b4vj78mZpH1rtdaJq6fd1fHz8448/7r2NOj8NhTLeud1ul8tlMBg4SuFDURTPQhlOffhwOBx2u52THlacTmedQpnwuVOCWihjMpk8l2Nuc9rWFauTdHK9+6+7Vw9+2Ype15ZKjrwwGo0Sv8Wu43K5ZFnmg09YkWXZs1CGUx8+bDabw+HgpIcVu91ep1Cm3dS/wju3260VyoT8pKt/5SgCdB/blm7xAQBtWvfu3bX46tWrNTU1rf82eu/evdp35zrd/8/evQdEWeWPHz/PzDBcFAEVNFQkvEJeItMUtQtbWq6trtqau5uaW0qa1S9Xq7Xa1PW7ZbVbmbrq92u7lZki2qotYZc1lU0Bb2FekExQAQFRbsNcmHl+fzy7T7NchhGGmYF5v/76zMx5zvOZc56BYebDOZqJEyeOGjUqMjKyQ4cOOp1OkiS1fragoCApKamxfuyrN2w2W5MVP00Wl7j5Qzr7DzTVhRYcsN+exs3fiDuzyIp9enUKazz16aerrjSXc/ml6yqDBg3S6/Vms9lgMGRlZe3evVu5/+c//3kzevPa8W8rvPY6UbStbzUAAAAAAAAAAK2NT40BAG4SEBAQExOjriVz6tSp22+/vfVOpxaWNqbJgg+r1bp+/Xol7tSp0+rVqx1spOK4t27duqmxwWAICQlxfOqrV686bmDf4ZYtW+y3OmoN9qerrKxs8nTV1dVqbL+SUH0tn6Y6SktLm2yj/Eej4qabbrJ/yM0Dq3DhleZyLr90XUWr1U6cOHHHjh1CiFdffVX57yV/f/+4uLgb7cqbx7+taO3rpIU/KDzyugYAAAAAAAAAeC3WRAIAuM+kSZPUODk52eX92y9j0OT32U1WVBQUFKgFH0899ZSD786FEFeuXHHwqP1qOsXFxY7PK5zYmurmm29W45KSkiY7bKGePXuqcUFBQZPt7Uejd+/edR517TTVkZub22Qb+xGzf2rC7QOrcOGV5nIuv3RdaNy4cUqgrvH74IMPNmODNm8e/7aiNa4TF/6g8MjrGgAAAAAAAADgtSiUAQC4z+jRo9UtME6fPp2Tk+Pa/jt16qTGlZWVjhufPHnScYNLly6p8cCBAx03PnLkiINHo6Oj1fjo0aOOuxJC/POf/3TcwL5Dx6d2iaioKDX+5ptvmmyfkZGhxn369KnzqGunqY4DBw40ufiE/RTYf4Mu3D6wChdeaS7n8kvXhSIjI+ssCHTfffc1ox+vGv8mr17v1BrXiQt/UHjkdQ0AAAAAAAAA8FoUygAA3Eev18+dO1e9uWrVKrPZ7ML+u3btqsY//PCDg5Zms3nfvn2OezOZTGrseJkKk8mUlpbmODF1mYqdO3c6Xh0hNze3vLzccW4hISGxsbFKvG3bNnVFjVYSHh6uju3evXuNRqODxhaLZdeuXUqs1+tjYmLqNHDtNNVRU1Nz9uxZBw2sVquyX48QokOHDnV2hnLzwCpceKW5nMsvXdd66KGH1LhHjx516mac5PHx12h+fEPunkvO5VrjOnHhDwqPvK4BAAAAAAAAAF6LQhkAgFuNHz++b9++SlxcXPz73//ehbUyERERkiQpsVqr0aCtW7fabDbHvdl/TZufn++g5aZNm5r85nX69OlKYDAYPvvss8aaybK8du1ax10pZs6cqQQ1NTUbN2505pCWUPOXZfmjjz5y0HLnzp1q5cGkSZPsiwAUrp2m+tasWePgqC+++KKqqkqJH3roITUTlZsHVrj6SnM5l1+6LnTvvffu+o9169Y1rxOPj39AQIAat92NgVx+nbj2B4X7X9cAAAAAAAAAAK9FoQwAwK0kSVq+fLm6p8Z3332XlJR07ty5Jg80mUxN7sKj1WrHjBmjxGfOnDl8+HCDzb766qvk5OQmz9i7d281fvfddxv8glyW5a1bt6ampjbZ27hx44KCgpR4/fr1x44da7C3tWvX5ubmNtmbEOKWW25Rn2xqauqmTZscr+IghCgtLf3ggw+qq6ud6b+Oe++9V10x4pNPPmlsXY39+/d/+OGHSuzv72+/4IfKtdNUX15e3urVqxv84vzEiRNr1qxR05s4cWL9Nm4eWOHqK83lXH7pehuPj79Op+vQoYMSZ2ZmtsYp3MDl14lrf1C4/3UNAAAAAAAAAPBaFMoAANytY8eOa9as6d69u3KztLR00aJFTz755BdffHHx4sWamhpZlpWHLBZLeXl5dnb2mjVrfvGLX3zzzTdNdv7II4+o8cqVK7ds2XL9+nWlQ5PJdO7cuVdeeeWtt97SarUN1nDYCw4OHj16tBJfvHhxwYIFJ06cUHcdMhgMJ06cWLRo0ebNm4UQ06ZNc9ybTqd74YUX1Ju///3v161bV1RUpNRzmM3m06dPL1q0SClAmTRpUpPPVAjx9NNPq3vNfPLJJ4888sinn35aVFSkLtJjs9mqq6vz8vI+++yzZ555Zs6cOcnJyc1Yo0UIodVqX3rpJfXmmjVrVq5cmZeXp1QVWK3WS5cuvfnmm2+88Yba5vnnn7dfKsOeC6epjgcffFAI8eWXXz777LPfffedMhQ2m624uHjDhg32T2HJkiV6vb7BTtw5sMLVV5rLtcal61W8YfwTExOV4MyZM7t3766srFR/DLYVrXGduPYHhZtf1wAAAICvCegWfdurX3a8ebCnEwEAAACapvN0AgAAXxQSEvLuu+/+5S9/+eKLL5R78vPz33nnHWeODQsLmzt3blxcXIOPdu/efcaMGVu2bFFubtmyRY3tvfrqq2azucl1CBYuXHjixAllp57CwkL7Mgt7CxYsGDp06Pbt2x33NnTo0CeeeELdICY1NbXBBSoWLlwYHR3997//3XFvQgh/f/+33357xYoV2dnZQoiqqqr169c3eVSz9e3bd9myZcuWLVO+OT58+HBjazwIIZ599tlhw4Y19qhrp8neyJEjY2NjV61adf78efuv7ev4zW9+M3z48MYedfPACldfaS7n8kvX23h8/CdPnrx7924l3rhxo7I3kEajUfceSk5O1um8/X27y68T1/6gcP/rGgAAAAAAAADgnVhRBgDgGXq9/qmnnlqzZs2oUaOcPOSWW25ZuXLlX//619GjR6vfH9f38MMPJyUlNfZo165d16xZM2DAAGfOGBQUtG7duv79+zfWICAg4JVXXhk/frwzvQkhHnjggT/+8Y/qNit16HS6pUuX3nfffU72piTwhz/84cUXXwwJCXHcUpKkcePGrV69Ojg42Pn+64iPj3/vvfcGDhzooE1UVNSGDRvuvvtux125cJrqGDNmzCuvvNLYajGBgYErVqxockELNw+sy680l3P5petVPD7+4eHhzz33XJ0fazabzfofrXRel3P5deLaHxRufl0DAAAAAAAAALyTt/9nKgCgfevVq9cLL7xQU1OTk5Pz7bff5uTkFBYWXr161WazBQYGRkZGRkdH9+zZs1+/fn369AkKCnKmT0mSJkyYMHbs2P3792dmZp49e9ZgMHTt2vWWW265++67hw4dqtVqnc8wJCTk9ddfP3fu3L59+06ePHnx4kUhRERERFxc3KhRo+Lj4/38/G7oKd9yyy0ffvhhZmbmoUOHjh07dv369dDQ0H79+o0ZM2bkyJGN7VXkgCRJI0aMeP/99/Pz8zMzM8+dO5eTk3P9+nUlz169evXp02fIkCH9+/e/0VQbFBYWtmrVquLi4oMHD546der06dNVVVVBQUEDBgyIi4tLSEjo2bOnk2m7cJrquO222zZv3nz48OH09PQzZ85cv369U6dO8fHxd9xxx8iRI53s2c0D6/IrzeVcful6FY+P/+jRoz/++ONDhw5lZmZeuHChqKhI2deszXHtdeLyHxRufl0DAAAAAAAAALyQJMuyp3MAAABovqKiorlz5yrxypUrBw9mQ3TAq507d27RokVK/Je//CUyMtKz+bjBvHnzjhw5Mn/+/Dlz5ng6F+9VVVVlNBr9/f1ZyMd3VFdX19TUKLFGo+ncubNn84HbmM3miooKSZK6dOni6VzgJhaLpby8XL0ZGhrq/dtKwlVKS0uFECEhIW26EPnat+cNhVc9nYWzgkP9NFIDn/kH9Q2xhPzXLJwvDbxucP2S84m39DLWGJQ4afH/e/KFxULIXQMkIYS/tTakutzh0W2DFBYt9B09nYXXqaioMJvNgYGBja0zivansrLSZDIpsU6nCw0N9Ww+cBuj0VhVVaXVasPCwjydC9zEZDJVVlaqNzt37qzRsHGNT7DZbGVlZcI7Jr26uvquu+4SQmzbti0mJqaFvfFHKQAAAAAAAAAADQsbEhM2pKUfxHsD//++GdutVc6isdtUtqt/h1vCbvqvhzv2apWzAgAAADeCUi8AAAAAAAAAAAAAAAD4BFaUAQAAAOCljEbjjBkzlHjhwoWJiYnNawMAAAC4R8W+f9mqDS7vVp/YQ/hJTbdrBSev6S3WBvZyqsNm0V+9phVCWG0/Ni63XP+h8nsljtDUBpUWt1KSTeRWZTt/2CDXexIRo+JC43p7IiMAAAB4GIUyAAAAQKOOHj26YsUK9ebixYsTEhI8mI8PslqtSmCz2VrSBgAAAHCDkv/7yJR/yeXddrlnss1scnm3zkg5H3HdXNNks566yE/224QQFrtCmWJT4ZGSQ0o8MjAg8OinrZSkY9aaboeePFprrK1z/8h3FlIoAwAA4JvYegkAAABoVEpKitXOtm3bPJ0RAAAAAAAAAABoPlaUAQAAABpWXl6enZ1tf8/58+dLS0u7du3qqZRaqKKiYtasWUrM6jgAAAAAAAAAAB/EijIAAABAw/bv31//zi+//NL9mbiQujqOLMtNtwYAAAAAAAAAoH1hRRkAAACgAbIsqxstxcbGBgQEHDt2TAixc+fOhx56SKOh4txbBAQE7Nq1y9NZAAAAAD6t5Ie8Y0sf6/f4m55OBAAAAGgahTIAAKBt6969O9+RozX88MMP5eXlSjx16lSdTqcUyhgMhpycnIEDB3o0uzasX79+vGYBAACAdkYWsmytFaxbCQAAgLaAQhkAAACgAXv27FHjW2+9VaPRaDQam80mhPj73/9OoQwAAAAAAAAAAG0RhTIAAABAXWaz+YsvvlDixMREvV4vhBg/fnxqaqoQIj093WAwBAUFeSq94uLiI0eOHD9+PC8vr7S0VKPRhIeHx8TEDBo0KD4+PiIiolXPbrVas7Oz09PTT506VVxcXFtbGxcXt3LlyjrNZFnOz8//9ttvT5069f3335eVlel0up49e/br12/YsGFDhgxRRtWdvDAlAAAAAAAAAICbUSgDAAAA1JWZmanGEyZMUIL7779fKZQRQhw6dCgxMbHJfg4cOPCnP/1JiTdv3uy4tiY7O/vll19W4g0bNoSHh9dvU1lZ+ec//zkrK6vO/RcvXrx48eLXX38thIiNjX3sscf69etn32D+/PmFhYWy3ULoq1at0mg09U+RnJys0/37z4QrV64kJSUp8fLlywcPHpyTk7N8+fKKigr7QywWi/3N6urqzz//fPv27XWamc3mnJycnJycTz/9VJKk+fPnjxs3TpKkRkfEOUajccaMGUq8cOHCBufFzSkBAAAAAAAAALxWA5+MAwAAAD4uOTlZCYKCgtSKk+jo6E6dOinxtm3bnOlHlmXrfzjTXm1sX9GiKi8vf/zxx+tXydRx+vTpRYsW1dTU1O9Z2Tqqfm72HOSflZX129/+tk6tSX1LlizZtGmT42ayLK9Zs2bZsmX2KTWbmmRjvbk/JQAAAAAAAACAd2JFGQAAAOC/lJaWnj9/XoknTZqkri8iSdKUKVP++te/CiEKCgoKCwtvuukmdya2bNkyg8GgxKNGjZoyZUqPHj2CgoIkSbLZbFVVVcqiMmlpaa1x9iNHjuzcuVMI0bdv39mzZ/ft2zcwMFCW5eLi4vT09Prte/fu/eCDD8bGxnbp0iUwMFAIYbVar127lpGR8be//c1oNAohjh49unnz5kceeaQ1Em4TKQEAAAAAAAAA3IxCGQAAAOC/fPnll2p8zz332D901113KYUyQoi0tLTZs2e7LavLly/n5uYq8S9/+cuHH37Y/lGtVhsSEhISEjJo0KA5c+bs2rWrzuHr168XQly/fn3mzJnKPYsXLx47dqzzCezYsUMIMXny5EcffdS+eKh79+5Tp061bzls2LAXXnihZ8+edXrQ6XTh4eE//elP77333pdffvn06dNCiOTk5IkTJ4aFhTmfSTN4YUoAAAAAAAAAAI+gUAYAAAD4kc1mUypChBCRkZHdu3e3f7RLly4xMTHKejN79ux55JFHtFqtexI7d+6cGtcpTKkjMDBw+vTpDT6k0WgajJ00dOhQ+yqZxsyZM8dxA39//9///vezZs0ymUxCiM8++2zGjBk3mswNab2USktLN2zY4LiNsg2W2WyuqqpyLl9fZLFYhBC1tbWMku+ora1VY1mWmXrfoexwx6T7lDrbGhoMhma8D0GbVlNTo7zL8gWttI+nLMuiibfhraXBbWHrszW122yTDVpPY6c2mUz8MnIh5d2dxWJhVH2H/Vt6ZaVbDyYDd1J26GbSfUqd7dqrq6ub/IQQ7YP6VtAbJl1dbd0lb7kplAEAAAB+dPbsWaWsQQgxbdq0+g2mTp36+uuvCyHMZvPJkyeHDh3qnsSuXr2qBAEBAX5+fu45aR1JSUmu+nMoKChoypQpW7ZsEW4plGm9lCoqKtTKqsb06dNHCFFbW6vs7gQHrFar1XPfoMCDZFnmBeKDmHSfZTabPZ0C3M2nJt3JspLmdOvlhTJNNWulEiJn2GwN52axWPhl5HK1tbX2xRPwHTabjReUr+HvOF/mOzXQUHnDpLv2Zw7/vQEAAAD8yH7TopEjR9ZvMHz4cDVuskLChYKDg5XAaDRWV1e77byqiIiIHj16uLDD+Ph4Jbh27ZqXfLDihSkBAAAAAAAAAFyLQhkAAADg3wwGQ3p6uhLHx8d37NixfpuAgIDRo0cr8bFjxyorK92TW79+/dT41VdfVdeZdJuxY8e6tsOQkBA1Li8vd23nzeOFKQEAAAAAAAAAXIutlwAAAIB/O3TokBpPmjSpsWYTJ05U62kOHDgwYcKEVs9MiOjo6B49ely+fFkIceLEiYcffnjMmDEPPPBAnz59goKC3JBAr169bqi9LMsXL148efLkd999d/ny5aKiojrrc9ovvV5RUdGtWzfXJOrelPz8/KKiohy30Wg0QghJkrRabbMS9wk2m02WZUmSlOGCL1AmXb3JC8R3yLKs/Lxl0n2HOukKjUbj8b3t4TbKpopMestJQmqVLZ3cyXPXQGNn1mg0/DJyId7S+yDe0vss5d0dr3efwlt6X6a8pfeGH/KuzYFCGQAAAODftm7dqgQajWbIkCGNNRs4cKBerzebzUKI7du3P/DAA274y1CSpGXLli1cuLCmpka55+DBgwcPHhRCdOnSZcSIEcOHD4+Nje3QoUMrJRAWFuZ848zMzPXr1xcXFzvZXhnMVtVKKfXq1avJHbjmzZsnhAgMDLyhMfQ1VVVVRqNRr9eru4yh3auurlZ/oGk0Gl4gvsNsNldUVEiSxKT7DovFYr9UW6dOnXQ6PpP0FaWlpUKI4OBgPz8/T+fiJmVabW0rdCtpPFYo4+SXoE2+rj34wtc2cuqgoCB+GblQRUWF2WwOCAhovT9L4W0qKyvV/z/R6XShoaGezQduYzQaq6qq+DvOp5hMJvt1tUNDQymT8hE2m62srEwIERIS4vFJ1+v1SuCSTPijFAAAABBCiMuXLxcWFirx+PHjHXyMq9VqJ06cqJRHlJaW5ufn9+7d2w0ZRkREvPfee5s2bdq7d6/9/VevXk1NTU1NTRVC3H777bNnz25yjZNmcP5z7Q0bNuzZs8flCbSEF6YEAAAAAAAAAPAICmUAAAAAIYT4/PPP1Tg1NbVOMUod9muN/uMf/3jiiSdaMTM7QUFBTz755Jw5c44fP56enp6RkVFn86CsrKysrKwpU6bMmjXLIyug7tu3Ty1J0Wg0EydOHDVqVGRkZIcOHXQ6nSRJalYFBQVJSUm+mRIAAAAAAAAAwFMolAEAAACE1WrdtWtXnXucPDYtLe2xxx5rcjF5+327G8vByTMGBQUlJCQkJCTIsnz9+vXz588fOHDg66+/VnvYsWNHVFRUYmKikx26itVqXb9+vRJ36tRp9erVDtbgdf75trOUAAAAAAAAAAAexOZhAAAAgMjOzq6trW3esTab7dixYw0+pNVq1bjJIozS0tIbPbUkSWFhYcOGDXvmmWeSk5PnzJmjPrRhwwb7ZW/co6CgoLq6WomfeuopxztVX7lyxTdTAgAAAAAAAAB4ECvKAAAAACIlJUWNP/7446CgoCYPsVqt06ZNU8pftm/fPmLEiPptOnXqpMaVlZX2N+s7efLkDWRcj06nmzx58qVLl5RNowwGQ1lZWdeuXRtr3+QKN81w6dIlNR44cKDjxkeOHHF5AvV5YUoAAAAAAAAAAA9iRRkAAAD4uoqKihMnTijx7bff7kyVjBBCq9WOGzdOic+cOXPt2rX6bezrVH744QcHvZnN5n379jmZsAMJCQlqXFlZWedRjebH9//NXkHHAZPJpMb2q+k02DItLc3lCTR4IjX2kpQAAAAAAAAAAB5EoQwAAAB83YEDB9R4woQJzh947733qvE///nP+g0iIiIkSVLiXbt2Oehq69atLtkpqaysTI07duxY59GAgAA1Likpafnp6rAvDMrPz3fQctOmTa1RqVOfF6YEAAAAAAAAAPAgCmUAAADg02RZ3rZtm3pzyJAhzh/bp08ff39/JU5JSam/mZFWqx0zZowSnzlz5vDhww3289VXXyUnJzs+17Zt29QAZXUAACAASURBVLKzs5WdnhpTU1PzwQcfKHFAQED9fZd0Ol2HDh2UODMz0/EZm6F3795q/O677zZYdyLL8tatW1NTU11+9raSEgAAAND+RNwcfdurX3a8ebCnEwEAAACaRqEMAAAAfFpeXp66a9Lo0aP1er3zx2o0mvHjxytxZWVlbm5u/TaPPPKIGq9cuXLLli3Xr19XSmpMJtO5c+deeeWVt956S6vVPvTQQw7O9f333y9dunT69OkbNmw4ceJEWVmZxWJRHrJardeuXdu3b9/cuXPV55KUlKQuZmMvMTFRCc6cObN79+7Kysr69T3NFhwcPHr0aCW+ePHiggULTpw4YTQalXsMBsOJEycWLVq0efNmIcS0adNcdd62lRIAAAAAAAAAwIN0nk4AAAAA8KRPP/1Uje+///4bPTwxMVHdU2n37t3PPvtsnQbdu3efMWPGli1blJtbtmxRY3uvvvqq2Wxucl0Zs9m8Z8+ePXv2OG42fvz4e+65p8GHJk+evHv3biXeuHHjxo0bhRAajUatqklOTtbpmv9nwsKFC0+cOFFVVSWEKCwsfOmllxpstmDBgqFDh27fvr3ZJ2rTKQEAAAAAAAAAPIUVZQAAAOC7zGbz3r17lViSpLi4uBvt4eabbw4MDFTiffv2qUuV2Hv44YeTkpIa66Fr165r1qwZMGDAjZ66QcHBwYsXL54/f36Dy8kIIcLDw5977rk6j9psNut/tDCBoKCgdevW9e/fv7EGAQEBr7zyiroSjxt4YUoAAAAAAAAAAE9hRRkAAAD4rqNHj6obD919991+fn432oMkSRMmTEhJSVFuZmZmjh07tsE2Y8eO3b9/f2Zm5tmzZw0GQ9euXW+55Za777576NChWq22yRMtWbKkpKQkPz//woULP/zwQ2FhYUlJSU1Njc1mCwkJiYqKiouLi4+P79+/v0bTRDX86NGjP/7440OHDmVmZl64cKGoqKi2tvZGn7gDISEhr7/++rlz5/bt23fy5MmLFy8KISIiIuLi4kaNGhUfH9+McW5/KQEAAKBd6phwe0D/GJd36y96C53N5d0649auHQ21TdfT6y3B98dphBDZkqQmGqzrFNUxWomD/ITUa2QrJemYpkIX/YtOttq6e8526t/TI/kAAADA4yT1iwEAAAAAgMvNmzfvyJEj8+fPnzNnjqdz8V5VVVVGo9Hf3z84ONjTucBNqqura2pqlFij0XTu3Nmz+cBtzGZzRUWFJEldunTxdC5wE4vFUl5ert4MDQ1tyT6PaFtKS0uFECEhIdQl+44OHToYDAYlfvHFF1esWOHZfOA2FRUVZrM5MDCwQ4cOns4FblJZWWkymZRYp9OFhoZ6Nh+4jdForKqq0mq1YWFhns4FbmIymSorK9WbnTt3bvJf9dA+2Gy2srIy4R2TXl1dfddddwkhtm3bFhPT0tp0rmAAAAAAAAAAAAAAAAD4BP57AwAAAC5w5cqVpKQkJV6+fPngwYM9mw9Qn9FonDFjhhIvXLgwMTHxRhsAAAAAHic3tBGSLAmb5H3/FivbhK3pbZtaSpKEFz53AAAAeDEKZQAAANqnGTNmGI1GJU5JSWntdRFlWbZaW/8DUHiBo0eP2i+fvnjx4oSEBA/mc0PUq9RmszWvAQAAAOBZuTPmWYpL69z5+bRH3zd4xRaWxtof30jrvk+1/b2wtc8o3Xy3dOvM1j4LAAAA2hPqrAEAANonqx1P54J2JSUlxf7q2rZtm6czAgAAAAAAAADAWawoAwAAADStoqJi1qxZSty21lBxrfLy8uzsbPt7zp8/X1pa2rVrV2cOZxgBAAAAAAAAAJ7FijIAAACAU9Q1VGRZ9nQuHrN///76d3755ZfO98AwAgAAAAAAAAA8iEIZAAAAAE6RZVndaCk2NjY+Pl6Jd+7cabPZPJcXAAAAAA8zFucdWzq+6sJJTycCAAAANI1CGQAAAABO+eGHH8rLy5V46tSpkyZNUmKDwZCTk+O5vAAAAAB4mizL1lrBspEAAABoC3SeTgAAAABA27Bnzx41vvXWWzUajUajUdaS+fvf/z5w4EDPpQYAAAAAAAAAgFMolAEAAMC/lZSUpKennz59+syZM9XV1QEBAf3794+Li0tISIiMjGxGh7Isnzx5cv/+/d9+++3Vq1cDAwMHDBgwfPjwsWPHBgUFeaS34uLiI0eOHD9+PC8vr7S0VKPRhIeHx8TEDBo0KD4+PiIi4kazcpKXj60zzGbzF198ocSJiYl6vV4IMX78+NTUVCFEenq6wWBopVOrXD6MAAAAAAAAAABfQ6EMAAAARHl5+apVq7Kzs+3vNJvNWVlZWVlZ77//fkxMzO9+97sbqiMpKip6+eWXi4qK7DvMyMjIyMhYu3btokWL7rzzzsaOvXLlSlJSkhIvX7588ODBLelNUVlZ+ec//zkrK6vO/RcvXrx48eLXX38thIiNjX3sscf69etn32D+/PmFhYWy3RLiq1at0mga2MM0OTlZp6v7BrvlY9sao9EMmZmZajxhwgQluP/++5VCGSHEoUOHEhMTGzvc48MIAAAAAAAAAIAQooEPpgEAAOBTsrOzZ8+eXacEoY7z588/9thj6enpTvaZm5s7b948+0oOe7Isv/HGG2qBRYMNrP/R8t6EEOXl5Y8//nj9Kpk6Tp8+vWjRopqaGvs7lTSUDYbqp2evfocuGVuXj0bzJCcnK0FQUJBaSxQdHd2pUycl3rZtm4PDPT6MAAAAAAAAAAAIVpQBAADwcRcuXFi6dKl6c+jQoTNnzuzdu7efn19tbe3ly5c3b958+PBh5dHXXnttxYoVQ4cOddznyZMnk5OTZVkeOHDgzJkzY2JiAgMDZVkuLS1NTk5OS0tTmq1bt27UqFGhoaFu6G3ZsmUGg0GJR40aNWXKlB49egQFBUmSZLPZqqqqlEVl1N5cwvvH1nmlpaXnz59X4kmTJkmSpMSSJE2ZMuWvf/2rEKKgoKCwsPCmm25y1UkVrTGMAAAAAAAAAACfRaEMAACA77JarcuWLVNvPvrooz//+c/Vm35+ftHR0UuXLt27d++7776r3Lly5coPP/xQr9c76HbLli1CiJkzZ06dOtW+oiIiImLBggVRUVEbN25U7kxJSfnNb37jOMmW93b58uXc3Fwl/uUvf/nwww/bP6rVakNCQkJCQgYNGjRnzpxdu3bVOXz9+vVCiOvXr8+cOVO5Z/HixWPHjnWcdpsYW+d9+eWXanzPPffYP3TXXXcphTJCiLS0tNmzZzfYg1cNIwAAAAAAAADAZ1EoAwAA4Lu++uqrq1evKvH48ePtSxDsjRs37sqVK8rOO0ajMSUlZcaMGY57TkxMnDZtWoMPTZw48ZNPPikpKRFCpKWlzZkzRy34aKXezp07p8ZTp051cKLAwMDp06c3+JBGo2kwbkxbGVtn2Gy2HTt2KHFkZGT37t3tH+3SpUtMTIyy3syePXseeeQRrVbbWFfeM4yuYjQac3JyHLepra0VQlitVovF4pak2iRlWy6bzcYo+Q77vdiEEEy971B+KsqyzKT7DmXS7W/KsuypZOARda4BtFCDryBfflnZbDYbv1O8AG/pfVCd7ZWZet+hbJzNpPuUOrulWywWZz7ZQzug/qj3hklXf+a45K0vhTIAAAC+6+OPP1bjRx991EHL6dOn79y5U/mAOyUlZfr06Y7fFjtYy0TZrEdZX8RoNJaVlXXp0sVxni3sTa20CAgI8PPzc3wuV2krY+uMs2fP1tTUKHGDNTpTp059/fXXhRBms/nkyZMu3Pmo9YbRVQoKCubMmeO4TZ8+fYQQJpOpvLzcDSm1aRaLhVHyTTabjan3QUy6z6qqqvJ0CnC36upqT6fQrjT4xUCtxXerkcxmczW/U7yGyWQymUyezgIeYLVaeXfna/g7zpdVVlZ6OgW4mzdMusFgUAKXFMpQ6gUAAOCjSktLlaVHhBCJiYlBQUEOGuv1+p/97GdKbDabL1y44KBxfHx8cHCwgwaxsbFqXFZW5jjPlvemHm40Gt3zGX1bGVsn2W9HNXLkyPoNhg8frsbq2jMt13rDCAAAAAAAAADwWRTKAAAA+Kj8/Hw1HjNmTJPt7SskcnNzHbS0L5toUEhIiBpfv37dceOW99avXz81fvXVV9XC89bTVsbWGQaDIT09XYnj4+M7duxYv01AQMDo0aOV+NixY67694LWG0YAAAAAAAAAgM+iUAYAAMBHXb58WY0jIyObbN+9e3c1zsvLc7Jlg/R6vRqbzWbnz9u83qKjo3v06KHEJ06cePjhh1etWpWdnd16FTNtZWydcejQITWeNGlSY80mTpyoxgcOHGj5eUVrDiMAAAAAAAAAwGfpPJ0AAAAAPKOwsFCNO3Xq1GT7Dh06qLF9BUN9/v7+LUnM5b1JkrRs2bKFCxfW1NQo9xw8ePDgwYNCiC5duowYMWL48OGxsbH2T7CF2srYOmPr1q1KoNFohgwZ0lizgQMH6vV6pTRn+/btDzzwgCRJLTx16w2jC0VGRr733nuO27z11ltCiICAgNDQULck1SbV1NSYTCa9Xu94jy20J8qkK7FGo3HmZY72wWKxVFdXS5Jkvwoa2rfa2tqqqir1ZnBwsFar9WA+cCdljcOOHTvqdHwQ7TLXNBprvTt1fjpR64FkvIFer/fjnbYXqK6utlgs/v7+gYGBns4FbmIwGNR/0dFqtY63ikZ7YjabDQYDk+5TlElXb3bq1EmjYT0On2Cz2SoqKoR3TLqfn58StPyTZ0GhDAAAgM+yWCxq7MzH1vbvg9WvNtuKiIiI9957b9OmTXv37rW//+rVq6mpqampqUKI22+/ffbs2VFRUS0/XbsZ28uXL6vVKuPHj3fwXLRa7cSJE3fs2CGEKC0tzc/P7927dwvP3iaGMSAgYPDgwY7bKMlrNBq+H3JA+ftWkiRGyXfU+XiFqfcdNptNCZh03yHLsv1NrVbL7PsaJt0NXPJtQRul0WgkLjAvoFyE/OHjU+x/8vDXnE+prf13bSaT7jus1v8q09XpdB6vmYB72P8J7/FJV3/mUCgDAACA5lPrr0W9P3UapL4nFp5Y16TlgoKCnnzyyTlz5hw/fjw9PT0jI6NOLUVWVlZWVtaUKVNmzZrVwrfa7WZsP//8czVOTU2tU2ZUh/2z+Mc//vHEE0+08OztZhgBAAAAAAAAAN6DQhkAAAAf1a1bNzWurKxscuOh6upqNY6MjGyttFpZUFBQQkJCQkKCLMvXr18/f/78gQMHvv76a7UOY8eOHVFRUYmJiS05S/sYW6vVumvXrjr3OHlsWlraY489Zl/p0gztYxgBAAAAAAAAAF6FNZEAAAB8VM+ePdW4oKCgyfZXrlxR45bvquNxkiSFhYUNGzbsmWeeSU5OnjNnjvrQhg0b7NcmaYb2MbbZ2dnqUro3ymazHTt2rIUJtI9hBAAAAAAAAAB4FVaUAQAA8FFRUVFq/M0339x2222O22dkZKhxnz59WistT9DpdJMnT7506ZKytZDBYCgrK+vatWtj7WVZdtxh+xjblJQUNf7444+DgoKaPMRqtU6bNk1ZeGb79u0jRoxw0NhHhhEAAAAAAAAA4FVYUQYAAMBHhYeHq7Uge/fuNRqNDhpbLBZ1Fx69Xh8TE9Pq+bldQkKCGldWVtZ5VKP58Z1zk+ustIOxraioOHHihBLffvvtzlTJCCG0Wu24ceOU+MyZM9euXavTwNeGEQAAAAAAAADgbSiUAQAA8F3Tp09XAlmWP/roIwctd+7caTKZlHjSpEn25Q7tRllZmRp37NixzqMBAQFqXFJS0mRvbX1sDxw4oMYTJkxw/sB7771Xjf/5z3/WedTXhhEAAAAAAAAA4G34+BgAAMB33XvvvWFhYUr8ySefpKWlNdhs//79H374oRL7+/s/9NBDbsrPRbZt25adna3sB9SYmpqaDz74QIkDAgLq77uk0+k6dOigxJmZmU2etE2PrSzL27ZtU28OGTLE+WP79Onj7++vxCkpKXX2V/KpYQQAAAB8R0C36Nte/bLjzYM9nQgAAADQNAplAAAAfJdWq33ppZfUm2vWrFm5cmVeXp6yJ47Var106dKbb775xhtvqG2ef/55+0VB2oTvv/9+6dKl06dP37Bhw4kTJ8rKyiwWi/KQ1Wq9du3avn375s6dq+4TlJSUJElS/X4SExOV4MyZM7t3766srKxTBWKvTY9tXl6eOhqjR4/W6/XOH6vRaMaPH6/ElZWVubm5dRr4zjACAAAAAAAAALyQztMJAAAAwJP69u27bNmyZcuW2Ww2IcThw4cPHz7cWONnn3122LBhbszOlcxm8549e/bs2eO42fjx4++5554GH5o8efLu3buVeOPGjRs3bhRCaDQataomOTlZp/vxDXbbHdtPP/1Uje+///4bPTwxMXHXrl1KvHv37meffdb+Ud8ZRgAAAAAAAACAF2JFGQAAgPZJqSpQNLg+iio+Pv69994bOHCggzZRUVEbNmy4++67XZWeFwoODl68ePH8+fMbG67w8PDnnnuuzqM2m836H/UPaYtjazab9+7dq8SSJMXFxd1oDzfffHNgYKAS79u3z2g02j/qI8MIAAAAAAAAAPBOrCgDAADQDsmybDablViSJMeFMkKIsLCwVatWFRcXHzx48NSpU6dPn66qqgoKChowYEBcXFxCQkLPnj1bP+vWsmTJkpKSkvz8/AsXLvzwww+FhYUlJSU1NTU2my0kJCQqKiouLi4+Pr5///4aTRN15KNHj/74448PHTqUmZl54cKFoqIiZQ8gB9rc2B49elTdC+nuu+/28/O70R4kSZowYUJKSopyMzMzc+zYsfYNfGEYAQAAAAAAAADeSVI/BAcAAEC7YTabp02bpsQ9e/Zcu3atZ/MBfNm8efOOHDkyf/78OXPmeDoX71VVVWU0Gv39/YODgz2dC9ykurq6pqZGiTUaTefOnT2bD9zGbDZXVFRIktSlSxdP5wI3sVgs5eXl6s3Q0FD7bRbRvpWWlgohQkJCmlF+jUbZrR76432yEJom/kHCPYI7djQYDEr84tKlK1Ysb/1zSqKpfw6BG1RUVJjN5sDAwA4dOng6F7hJZWWlyWRSYp1OFxoa6tl84DZGo7Gqqkqr1YaFhXk6F7iJyWSqrKxUb3bu3LnJfzhE+2Cz2crKyoR3THp1dfVdd90lhNi2bVtMTEwLe+OPUgAAgHaopKREjaOjoz2XCAAAAADApRr6isJLv6qSJCF5aWoAAADwZRTKAAAAtENZWVlqPGLECA9m4jyj0ThjxgwlXrhwYWJiomfzgcc5c0lw2QAAAAAAAAAAbgiFMgAAAO2NwWDYsmWLevPWW2/1YDKKGTNmGI1GJU5JSWlskUar1aoEtobWEncbi8Xyi1/8wlW9bd68OSgoyFW9+RpnLgkvuWwAAAAAr1V99Ntrez6vf39wXNdOvY2NHVUb2rU6qhkbqfz4tnxfbtnvdn3nzDGThtx0RzT7MAIAAMBNKJQBAABoP4xG4+nTp9966y11S/jExERv2CLaarWq1QxtQtvKFgAAAAAcMBcUVXx5oP79AR0Hy9rLjR1l1cXWWDvd8MkkWQ2/v2ownL7izEG39Qq9I/qGTwUAAAA0D4UyAAAAbZ7FYpk6dWr9+0NCQubOnev+fAAAAAAAAAAAALwThTIAAADt02233fbb3/6WTX+awc/Pb9euXQ4a7Nu3709/+pMSP/nkk+PGjXNLXgAAAAAAAAAAoKUolAEAAGg/Onbs2K9fv9jY2LFjx/bo0cPT6bRbGo2mwRjuFxAQ4LiqCQAAAAAAAAAAexTKAAAAtHlNroACAAAAAEDryTlTeN/IPyT/4/95OhEAAACgafz/KwAAAAAAAAAAaD5Zli0Wqyx7Og8AAADACawoAwAAgDbJarV+9913x44dO3XqVH5+fm1tbZcuXQYPHnzrrbcOHz5cr9d7OsEGWK3W7Ozs9PT0U6dOFRcX19bWxsXFrVy5sn7LkpKS9PT006dPnzlzprq6OiAgoH///nFxcQkJCZGRkc0++7Fjx/bv33/69OmrV6+GhITExcXdd999Q4cOlSSpTuOysrKvv/46IyMjLy/PYrHcfPPNw4cPHzduXEhIyI2e1AunSZblkydP7t+//9tvv7169WpgYOCAAQOGDx8+duzYoKAgj6QEAAAAAAAAAHAPCmUAAADQxsiy/Nlnn23atMlkMtnfX1BQUFBQkJaWptVq586de//999ev/3CbK1euJCUlKfHy5csHDx6ck5OzfPnyiooK+2YWi6XOgeXl5atWrcrOzra/02w2Z2VlZWVlvf/++zExMb/73e8iIiJu6Oznz59/+eWX7c9+9erVAwcOHDhwoHfv3v/zP/8THBys3G+1Wv/3f//3008/te/wzJkzZ86c+eCDDxYuXHjfffc5MwLumSaj0ThjxgwlXrhwYWJiYp0G9YeiqKjo5ZdfLioqUtuYzeaMjIyMjIy1a9cuWrTozjvvbHY+AAAAAAAAAAAvx9ZLAAAAaEsMBsPixYvXrVtXp/zCntVqXbdu3YoVK6xWqztzsyfLsvU/hBBZWVm//e1v61TJ1JednT179uw6VTJ1nD9//rHHHktPT3f+7NnZ2c8880xjZ8/Ly3v66afNZrMQora29rnnnqtTJWNv9erVn3/+ueNnIdw7Teoztdls9R+tMxS5ubnz5s2zr5Kp0/iNN95ITU1tST4AAAAAAAAAAG/GijIAAABoM0wm09NPP33lyhXlZnh4+KxZs4YMGdKpUydJkkwmU05OzsaNG/Py8oQQWVlZb7755pIlSzyashBCHDlyZOfOnUKIvn37zp49u2/fvoGBgbIsFxcX29e7XLhwYenSperNoUOHzpw5s3fv3n5+frW1tZcvX968efPhw4eVR1977bUVK1YMHTq0ybMfP348JSVFCHH77bf/6le/6tWrl5+fn8ViOX/+/FtvvVVQUCCEKC0t/b//+78nnnjizTffzMnJ8ff3nzNnzsiRI0NCQiRJqqio+OyzzzZv3qx0uHr16lGjRnXs2LGxM3rtNJ08eTI5OVmW5YEDB86cOTMmJkaZiNLS0uTk5LS0NKXZunXrRo0aFRoa6oaUAAAAAAAAAABuxooyAAAAaDPeeecdtfxiwoQJGzZsuPPOO0NDQzUajSRJAQEBQ4YMefvtt8eNG6e0OXjwoOPVWdxjx44dsixPnjz5zTffHDJkSFBQkCRJGo2me/fuU6dOVdpYrdZly5aphzz66KMrVqzo16+fXq+XJMnPzy86Onrp0qVPPvmk2mblypXKMjCOJScn22y2pKSkl19+uU+fPkqHer1+4MCB77zzjrqFU2pq6pYtW9LT0yMjIzdt2vTAAw+EhYUpAxsSEjJ9+vRFixapfe7evdvBGb12mrZs2VJbWztz5szXXntt0KBB6kREREQsWLDg8ccfV1sqpUUAAAAAAAAAgPaHQhkAAAC0Dbm5uQcOHFDiESNGzJs3T6vV1m+m0WgWLFgQHR2t3HzrrbdkWXZbko0ZOnToo48+KklSYw2++uqrq1evKvH48eN//vOfN9hs3LhxDz30kBIbjUYn6zkeeOCBCRMm1L9fr9fPnz9fvbllyxYhxB//+Mfg4OD6je+8885u3bop8T/+8Y/GzuXl05SYmDht2rQGJ2LixInh4eFKnJaW5g2XDQAAAAAAAADA5dh6CQAAAG3DRx99pMZPP/20g6ITSZIWLlyorIBSUlJy6dKlXr16uSPFxiUlJTlIWAjx8ccfq/Gjjz7qoOX06dN37txZW1srhEhJSZk+fbpG00T5+6xZsxp7aNCgQfY3p0yZEhYW1mBLSZJ++tOfbtq0SQhRXl5eWVnZYD2Nl0/Tb37zGwf5TJkyZf369UIIo9FYVlbWpUuXJjvMz89/6qmnHLcJDAwUQtTU1Fy7du0G8/UhNptNCGE2mxkl36FMuhoz9b5DqUSUZZlJ9x11yk8rKiocvy9C+1NZWcmke5bBYGjwfmttrYOjrFZr66TTAIPBwO+Ftk55d2c0Gp1Z+hTtg/1b+traWl7FvkN5d8ffcT6lzlv669ev8+7O15SXl3s6hR/f09r/Amo2CmUAAADQBtTU1GRlZSnxXXfd1WCJhr2+ffsGBgbW1NQIIb755hvPFspERET06NHDQYPS0tKSkhIlTkxMDAoKctBYr9f/7Gc/27FjhxDCbDZfuHAhJibGQfvbb7/dQYd6vb5bt27qTkk/+clPHHTVv39/Nb5+/Xr9WfDyaYqPj3ecUmxsrBo7WShTW1t76dIlx2369OkjhJBl2Z3fNLRRjJIvY+p9EJPus1zymSbaFibd4xqbgiYWUXTjGos2m43fC+0Db+l9GVPva3i9+zLe3fkgb3i9uzYHtl4CAABAG3DhwgU1Hjt2bJPtJUkaPHiwEp85c6aVsnJSkwnn5+er8ZgxY5rscOTIkWqcm5vruPGwYcMcN4iMjFTjm266yUHLkJAQNb5+/Xr9Bl4+TcOHD3fcoMknCAAAAAAAAABo6yiUAQAAQBtgv2hHVFSUM4eoy5OcPXu2VXJyWpMLpVy+fFmN7ctWGtO9e3c1zsvLc9y4W7dujhuo6834+/vrdI6WnPT391dji8VSv4GXT5P9uDVIr9erMauFAwAAAAAAAEC7xNZLAAAAaAMuXryoxk899ZRGoxH/2RxXlmU1EELYbDYlUFdirKyslGXZg/vmhoWFOW5QWFioxp06dWqyww4dOqixfZFNg+yrWxqkDKYQIiAgoMlTO+bl09TkUDRDp06dpk2b5rjNqVOnhBA6na7lI9yOWSwWq9Wq1Wr9/Pw8nQvcpLa2tra2VoklSWqNVyi8k81mU4oR+anoO9RJV+j1evXtB9o9o9EomHQvUNvIWyzHb7/d+TeUn58fvxfaOrPZbLPZeEvvU5S/45RYo9HY//MJ2jer1Wqx01fvMgAAIABJREFUWPg7zqcok67e9Pf39+BnrXAnWZZNJpPwjkl37Z5fFMoAAACgDaipqVFj5dP2NsTxMi3iv1dnabKxsCttEUIof6i4RMu/vWjT09Q8Xbt2ff755x23mTdvnhBCr9d37NjRLUm1SVVVVVarVafTMUq+o7q62r5Qhqn3HWaz2Ww2M+k+xWKx2BfKBAUFOfOGB+2D8p4wMDCQL849y9LIF5lardbBURqt+8qb/P39+b3Q1lVUVJjNZr1eb/+vHWjfKisr7QtleBX7DqPRaLFYmHSfYjKZ7D/A7NChA2XQPsJmsymfP3vDpKuVOi7JhCsYAAAAbUD7/jbF/msD9TMmB+xr573qf3fa9zQBAAAAAAAAANoBPsgGAABAG9CtWzc13rJlSzv7BzX7Z1dZWdnks6uurlbjyMjI1krrxrXvaQIAAAAAAAAAtAOsKAMAAIA24Oabb1bjkpISD2bSGnr27KnGBQUFTba/cuWKGvfu3btVcmqW9j1NAAAAAAAAAIB2gEIZAAAAtAHR0dFqfOTIEc8l0iqioqLU+JtvvmmyfUZGhhr36dOnVXJqlvY9TQAAAAAAAACAdoBCGQAAALQBISEhsbGxSrxt27ba2lrP5uNa4eHhXbt2VeK9e/cajUYHjS0Wy65du5RYr9fHxMS0en5Oa9/TBAAAAAAAAABoByiUAQAAQNswc+ZMJaipqdm4caNnk3G56dOnK4Esyx999JGDljt37jSZTEo8adIkjca73tK372kCAAAAAAAAALR13vWpOgAAANCYW265ZcyYMUqcmpq6adMmq9Xq+JDS0tIPPvigurq69bNrqXvvvTcsLEyJP/nkk7S0tAab7d+//8MPP1Rif3//hx56yE35Oa19TxMAAAAAAAAAoK3TeToBAAAAwFlPP/30999/X1hYKIT45JNPvvjii1/96lfDhg3r3LmzXq8XQthstpqamtLS0tOnT3/22Wfnz58XQkyePNnDeTtBq9W+9NJLzz77rHJzzZo1WVlZv/71r3v06KHT6axWa2Fh4datW7/++mv1kOeffz4gIMBD+TrSjqcJAAAAQIMGxEYWVP/F01kAAAAATqFQBgAAAG2Gv7//22+/vWLFiuzsbCFEVVXV+vXrPZ2Uy/Tt23fZsmXLli2z2WxCiMOHDx8+fLixxs8+++ywYcPcmN0NaN/TBAAAAAAAAABo09h6CQAAAG1JQEDAH/7whxdffDEkJMRxS0mSxo0bt3r16uDgYPfk1nLx8fHvvffewIEDHbSJiorasGHD3Xff7a6kmqN9TxMAAAAAAAAAoO1iRRkAAAC0MZIkjRgx4v3338/Pz8/MzDx37lxOTs7169eFEBEREb169erTp8+QIUP69+/v5+fn6WRvWFhY2KpVq4qLiw8ePHjq1KnTp09XVVUFBQUNGDAgLi4uISGhZ8+ens7RKe17mgAAAAAAAAAAbZQky7KncwAAAACAdmvevHlHjhyZP3/+nDlzPJ2L96qqqjIajf7+/qwt5Duqq6tramqUWKPRdO7c2bP5wG3MZnNFRYUkSV26dPF0LnATi8VSXl6u3gwNDdXp+Oc9X1FaWiqECAkJoTbas8z5lw3fnal/v76Lf2C3Ro+yBQSaunS80XOFh8QbDP/+FT993v/75YLFzhw1JDIkukvQjZ4LXqWiosJsNgcGBnbo0MHTucBNKisrTSaTEut0utDQUM/mA7cxGo1VVVVarTYsLMzTucBNTCZTZWWlerNz584aDRvX+ASbzVZWVia8Y9Krq6vvuusuIcS2bdtiYmJa2Bt/lAIAAAAAAAAA0G7po3roo3rc6FFaIZpVuiKpUb/wDj8bfFNz+gAAAABaE6VeAAAAAAAAAAAAAAAA8AmsKAMAAABfd+XKlaSkJCVevnz54MGDPZuPtzEajTNmzFDihQsXJiYmejaf1nPu3LklS5Yo8dq1a2+6iX9+BQAAQHPYjEbDiVONPVoc1dUQ4OJP5mvNftXVXvFvsTb5x7i6tqrIUNDkIaF6qyT91z1+1yokq83VqTVA8gsSnfu44UQAAADwKhTKAAAAoPkOHDjwpz/9SYnnzZt3//33O25vNpunT5+u3pw6deqvf/1rx4fIsjx9+nSLxSKEkCQpOTlZq9W2LOsGTmG1Wl3bp9vMmDHDaDQqcUpKSivtFKuOj83mjk+rPUh9prIsO24JAAAANKa2pCx/yfLGHv3HH+ecs1a59oyRUs9d6bWu7bN5zHYFLgXGiweL/tnkIWNvMttks/09Xb+7oC274vrk6pG79NPc+YIbTgQAAACv4hU15gAAAGijBgwYYP2P9PT0Jtvn5eVZ7ezfv7/JQ4qLi41Go9I+NjbW5VUybZ39eHo6FwAAAAAAAAAAvB2FMgAAAGi+8PBwne7fixSeOHGiyVqNb7/91v5mUVGRwWBwfMjp06fVOCEhoVlpAgAAAAAAAAAACEGhDAAAAFpCkqQ77rhDvVlQ0MT28/VXnfnhhx8cH5KRkaHGgwcPvsEEAQAAAAAAAAAAfkShDAAAAFrEvlDm1KlTDlqazebc3Fwl/slPfqIEx48fd3CILMuHDh1Sb/bo0aP5iQIAAAAAWoexOO/Y0vFVF056OhEAAACgaRTKAAAAoEXi4uLU+JtvvnHQ8uLFi0oQERExefJkJd6/f7+DQ0pKSmpra5V48ODBWq22RbkCAAAAAFqDLMvWWiHLns4DAAAAaBqFMgAAAGiR8PBwnU6nxMeOHbPZbI21zM7OVoIxY8aoa8MUFhbW1NQ0dsjZs2fVOCEhwQXpAgAAAAAAAAAAH6bzdAIAAABo2yRJuuOOO9LT04UQsiwXFhY2tkHSv/71LyWIj4/X6XQDBw48c+aMEOLChQuxsbENHpKRkaHGQ4YMabCNLMv5+fnffvvtqVOnvv/++7KyMp1O17Nnz379+g0bNmzIkCF6vb4lT7B5rFbrd999d+zYsVOnTuXn59fW1nbp0mXw4MG33nrr8OHDPZJScXHxkSNHjh8/npeXV1paqtFowsPDY2JiBg0aFB8fHxER0fJTtN5cyLJ88uTJ/fv3f/vtt1evXg0MDBwwYMDw4cPHjh0bFBTkZCdWq/XIkSOHDh06ceLEtWvXQkNDBwwYkJCQcMcdd3hkRgAAAAAAAAAA7kehDAAAAFpKLZQRQnz33XcNFspYLBalLEYIERMTI4RISEhQ7jl+/HiDhTKyLB86dEi9GRkZWadBdXX1559/vn379oqKCvv7zWZzTk5OTk7Op59+KknS/Pnzx40bJ0lS85/hf1y7du25554rKSlRbi5cuDAxMbF+2p999tmmTZtMJpP9/QUFBQUFBWlpaVqtdu7cuffff79LUnJGZWXln//856ysrDr3X7x48eLFi19//bUQIjY29rHHHuvXr1/zTuHCubhy5UpSUpISL1++fPDgwUVFRS+//HJRUZF9txkZGRkZGWvXrl20aNGdd97ZZIZnz55dvnx5ZWWlek9paWlpaWl6erq/v/8LL7xw22233dhzBgAAAAAAAAC0QWy9BAAAgJaKi4tTY/vSFnuXLl1SgrCwsODgYCHEoEGDlHsOHDjQ4CFXr15Va02GDh2q1WrrNFiyZMmmTZvqVGbUIcvymjVrli1b5mBPKCdduHBh3rx5RUVFVqtVluXly5fXr5IxGAyLFy9et25dnSoZe1ardd26dStWrLBarS1MyRnl5eWPP/54/SqZOk6fPr1o0SIH22A55sK5kGXZ+h9CiNzcXGXYG2v8xhtvpKamOk7viy++WLx4sX2VjD2TyfTKK68oBUMAAAAAAAAAgPaNFWUAAADQUuHh4VqtVilrOHLkiM1m02jqFmSfPHlSCcaMGaMEUVFRSnDp0iWj0RgQEFDnkLNnz6rxqFGjGjt77969H3zwwdjY2C5dugQGBgohrFbrtWvXMjIy/va3vxmNRiHE0aNHN2/e/MgjjzT7OWZkZPzhD39Q4g4dOrzxxhv1F84xmUxPP/30lStXlJvh4eGzZs0aMmRIp06dJEkymUw5OTkbN27My8sTQmRlZb355ptLlixpdkpOWrZsmcFgUOJRo0ZNmTKlR48eQUFBkiTZbLaqqiplUZm0tLSWn8vlc3Hy5Mnk5GRZlgcOHDhz5syYmJjAwEBZlktLS5OTk9Wc161bN2rUqNDQ0MY6eeedd9SbP/nJT6ZNm9a9e3eNRmM0GnNzczds2JCXl/fmm29OnTq1pUMAAAAAAAAAAPBurCgDAACAlpIkaeTIkUosy3KDi3/861//UgJ1gxu9Xh8dHa3EFy5cqH9IZmamGg8ePLh+g2HDhq1du3b16tXjxo3r1auXUvwhSZJOpwsPD//pT3/6wQcfqJs6JScnX7t2rVnPT+zcuVOtkomMjNywYUOD20u98847apXMhAkTNmzYcOedd4aGhmo0GkmSAgIChgwZ8vbbb48bN05pc/Dgwezs7Oal5KTLly/n5uYq8S9/+csXXnhhwIABHTt2VFLSarUhISGDBg1asGDB1q1bf/WrXzX7RK00F1u2bKmtrZ05c+Zrr702aNAgpVuNRhMREbFgwYLHH39cbZmSktJgD1ardeXKlerNF1988emnn+7Ro4dWq5UkKTAw8P+zd+9xTd33/8A/JwlJCEJAEBS5eAMFRYaKipfaOsVp7XSoVdZVW9apxYJdmXR+7bzbOq1b1SpFW/prlTpFq3Va1GqrIrMCVikoCEgFFJA7BMg95/fH2U7TAElIAgHyev7h431OPudz3ud8giThnc8nKCho7969zORAHXUCAAAAAAAAAAAAAH0GZpQBAAAAAAuYNGlSeno6E9+/f9/T01P7UZVKde/ePSYeMWIEu3/q1KlMiUx2dvaoUaO0D6Fpmq2tIYTodMiIiorSn5VAINi0adOKFSuYhZAuXLgQGRlp9DURQohGo0lISGBnLgkKCtq0aROfz2/bsqioiF1DauLEiatWraIoqm0zDoezZs2agoIC5sI/+OCDjz/+uN2WFlFYWMjG+qdLsbe3X7p0qckn6rqxmDlz5uLFi9t9aP78+WfOnKmuriaEXLx4MSoqqu2dvHz5cktLC5vkxIkT2/bD4XDWrl376NGj4uJiY1LSVl9ff/LkSf1tmAWtlEolO7UPtKVSqZh/cZdsh1KpZGOapjH0toOZgg6DblN0Vl2UyWRtZx+Evk0mk2n/t28LlHqXNDV/Wdi21JruWNe1i9A0bXBPF9FoNDL8PrIQ5lc83vjYFO0VpTUaDYbedjBv4THoNkVnBXmpVNp1n2dCj8K+KusJgy7932tsi7ycRqEMAAAAAFgAO1kIIeT777+fNWuW9qNPnjxhgn79+onFYnZ/cHBwcnIyISQtLU2nSqOuro5ZqYdpxuVyTUtMJBJFREQcO3aMdL5QRqFQbNu2LTs7m9kMDw+Pjo7u6O86X3zxBRuvXbtWz9sGiqJiYmLi4uIIIdXV1Y8fP/b29jY+q06pra1lAqFQaGdn10VnMZJpY/HHP/6xo4coioqIiEhMTCSEyGSyuro6V1dXnTb/+te/mMDe3v6FF17Q09WaNWuYQemU+vp6JgE9hg8fTvB5sXHUajXukm1CzYRtwqDbLPY1HtgOplTapqj1Ps81Gg2x9F8ZNGoNsXin3YUmViuUwetPi1OpVMxf0MHWoGbCBuF9nC2T6q0Jhj6pJwy6Zf/Pwbc3AAAAAMAC3N3d2VqWrKwsnY81c3NzmWDq1Kna+319fZmgtLRU59PzgoICNp4yZYo5uYWEhDBBfX298X+YkUgksbGxbJXMihUr3njjjY6qZKRSaVZWFhPPmDHD0dFRf+cjRoywt7dn4ps3bxqZkgnYTGQyGTuxihV1dixCQkL030ztCq26ujqdR2tra9lSoYULF+ovtxoxYoSTk5PBlAAAAAAAAAAAAACgV0OhDAAAAABYAEVRkydPZmKNRvP06VPtR9lFlCZMmKC9397efuDAgUxcUlKi/VBmZiYbjxkzxpzctOewaWxsNOaQJ0+erFy5sry8nNncsGGD/nWLmHWUGNOnTzfYP0VRQUFBTJyfn29MSqbx8/Nj4507d1r9iz6dHYvQ0FDjO2xoaNB5VHtcdJ57bVEU9eyzzxpMCQAAAAAAAAAAAAB6NSy9BAAAAACWMWnSpPT0dCa+f/8+WwGjVqtzcnKY2N/fX+eoadOmnTx5khCSnZ3NPkrTNFtbQwjx9PTUc16apsvKynJzc+/du/fkyZPKykqdyWm0lyxtamry8PDQfyHZ2dkbN25kJsURCAR///vfhw0bpv+Qx48fs7GPj4/+xgxvb++MjAxCyIMHD4xpb5ohQ4YMHjyYWfoqOzt72bJl06ZNmzt37vDhw0UikcVPZ/GxYJ9FHeHz+WysUCh0HmVLnQgh7u7u+rsi/1sjqVMoimInBzKmcWf7tx3sNFS4S7ZDZ+4xDL1NYUYfg25TtH/kMfQ2xWZ/3m3wknspiqIwWJZisz/vNg6/4m0WfuRtEH7ebVbP+Xm3bA4olAEAAAAAy9BeBOfWrVszZ85kYrZYwd7e3tnZWeeokJAQplAmPT19yZIlzM6GhgZ27pPg4GA9K+ZkZmYmJiZWVVUZmWTbWgodn332Gbvqk6ur6/vvv+/q6mqw27KyMjaOjY1lVmhi3kLQNM0GhBCNRsMEarWaaS+RSGia7qJ3GhRFbdmyJSYmhl1E9saNGzdu3CCEuLq6Tpw4MTQ0NCAgwMHBwfxzWXwsCCECgcCclCoqKtjYmMIgNze3zp5i6NChaWlp+tusWrWKScCY55LNam5ulslkAoHA4Mpl0Ge0tLSw/zVxOJz+/ftbNx/oNgqFoqmpiaIo/K9oO5RKpfZMcmKxmMfDZ5K2oqamhhDi5ORkZ2dn7Vy6laJVXtPxozwej6gtfEY7OztCVBbutLtwKI6G/uWeDha9tTgej4ffR5bS1NSkUCiEQqFF3mBCryCRSNivx/B4vLaf+UBfJZPJmpubuVyui4uLtXOBbiKXyyUSCbvp4uLSbb+swbo0Gg2z3n1PGHShUMgEFskEb0oBAAAAwDLc3d25XC5T/5GRkcEWf+Tm5jINwsLC2paDsJO1FBcXKxQKZoKQwsJCtsGUKVM6OuOhQ4fOnTtn0YsgbJUMIeSll14y8jNT9m+9hBCZTGbZlMzk7u7+6aefJiUlXbp0SXt/bW1tampqamoqIWTChAmvvPKKkXPhtKsrxsJ82rU4xrx9MrMuBwAAAAAAAAAAAAB6PhTKAAAAAIBlUBQ1efJkZvUltVpdVVXFLKzz/fffMw1CQ0PbHuXg4ODi4lJfX08IKSkp8fPzI4RkZmayDcaMGdPu6a5evcpWZnA4nPnz54eFhXl6ejo4OPB4PO0JtMvLy1evXm3kVcyaNeu7775jyn327dsnEon0VOqwevi3okUi0RtvvBEVFXX37t309PSMjAydFZGysrKysrIiIiJWrFhhwtw2XTQW5tNemEmj0eiZmoihc1sAAAAAAAAAAAAAoO/p0R/oAwAAAEDvMnHiRKZQhhCSl5fn4eGhVqvv3LnD7Bk5cmS7R02fPv3s2bOEkOzsbKZQhu2EEOLp6dn2ELVanZiYyMROTk779+/XM9cru8iRMZ577rlFixb9+c9/ZiaG2blzZ0xMzOzZs/UfxZQEMY4dO9YzJ5pmin6mTJlC03RDQ0NxcXFaWtq1a9fY+/Pll1/6+Piwa2YZqevGwnza49La2ioWi/W3r62t7eKMAAAAAAAAAAAAAMDKsHgYAAAAAFhMQEAAG9+6dYsQUlFRwWzy+fyOljEaN24cE/znP/8hhDQ0NDQ3NzN7QkJC2p0FpLy8vKWlhYljY2P1r4j89OnTTl3F4MGDDx482K9fP2Zz//79Z86c0X/I0KFD2bi6urpTp+t+FEW5uLiMHz/+zTffTElJiYqKYh86dOiQRqPpVG9dOhZmGjx4MBtXVVUZbF9cXNyV6QAAAAAAAAAAAACA9aFQBgAAAAAsxsPDg61ruXXrFk3T9+7dYzYnTpzY0Zo+w4cPZ4KioiKFQlFUVMQ+FBYW1u4hjx8/ZuNRo0bpz+r27dvGpf8zNze3gwcPsjUfSUlJycnJetoPGTLEnNNZEY/HW7hwYXh4OLPZ2tpaV1fXqR66eizMoT0uP/zwg8H23333XRdmAwAAAAAAAAAAAAA9AAplAAAAAMBiKIqaOHEiE6tUqurqamZeGUIIu78tsVjMTt9SWlqalZXFPjR69Oh2D5HL5Wzc7pQz2i0vXrxoXPq/4OzsfPDgwUGDBjGbx48fP3ToEE3T7TYWi8XsbDonTpxQqVQmnNGKpkyZwsYSiaRTx3bDWJjMzc2NrXY6ffq0/oWfioqKGhsbuyUvAAAAAAAAAAAAALAaFMoAAAAAgCVNnjyZjTMzM9kZRPTPNTJ16lQmuHv3blpaGhNTFOXp6dluezc3NzYuLS3V03NSUpLJZSsODg579+719fVlNs+dO7d3796OamWWL1/OBFKp9PDhw6ad0Vq0Z5Fhi5aM1D1jYbKlS5cyQWtr64ULFzpqRtP0wYMHuyspAAAAAAAAAAAAALAaFMoAAAAAgCWxE6sQQj777DOmrITD4Xh4eOg5avz48Uxw4sQJdkaTkJCQjmYoYYtXCCEffvhhu+UXNE0fP348NTW1k1fwC0KhcM+ePWyVz7fffrtz5852JyYZPXr0tGnTmDg1NTUpKUn//CWEkJqamiNHjrS0tJiToX4nTpzIycnRn4lUKj1y5AgTC4VC7cIXY3TbWJgmPDxcJBIxcWJi4p07d9q2YapktNf8AgAAAACAThF6DBm380q/oUHWTgQAAAAAwDAUygAAAACAJXl4eLDVLTKZjAkmTJhAUZSeo/z8/HQOIYSEhYV11N7R0ZGdhKasrGzNmjXZ2dnssa2trdnZ2XFxccnJyYSQxYsXm3gxhBBC+Hz+e++9FxISwmzevHlz8+bN7ZaDrF27ll2q6cyZMy+//PL58+crKysVCgWzU6PRtLS0lJSUXLhw4c0334yKikpJSdFoNOakp9/Dhw83bNiwdOnSQ4cOZWdn19XVKZVK5iG1Wl1fX3/16tWVK1fW19czO1evXq1/pNrqzrEwAY/HW79+Pbu5adOmhISEyspK5rYrFIq8vLy4uDhmTagFCxZ0c3oAAAAAAAAAAAAA0M141k4AAAAAAPoUiqImTpx48+ZN7Z3a6zG1q3///gKBQC6Xa+8cPXq0nkNiYmKys7Obm5sJIRUVFX/729/abbZmzZrg4OCTJ08alX0HuFzupk2bdu/enZ6eTgjJzs7+61//+u677/L5fO1mAoFg796927Zty8nJIYQ0NzcnJiaac15LUSgU586dO3funP5mc+bMee6550zovzvHwgTBwcGvv/56QkICs5mamtru3DYxMTFDhgz56quvujc7AAAAAAAAAAAAAOhWmFEGAAAAACysbVmM9npM7aIoSucoiqLY2VnaJRKJEhIS/P39O2ogFAo3b948Z84cQ/kahcPhxMfHz5o1i9ksKCh46623pFJp25Nu3779nXfeEYvF+jukKCo8PHz//v2Ojo4WydAcjo6O69ati46O7ux0MoxuHgsTzJ0797333nNwcGj3UR6Pt2HDhtmzZ3dzVgAAAAAAAAAAAADQ/TCjDAAAAABYmE5ZjMGSF0ZoaOi1a9fYzZCQEHYJp46IxeLdu3cXFhZevXo1Nze3rKyMEOLu7h4YGBgWFhYSEmJnZ2fSFbSPoqiYmBgHBwdm0pHS0tLY2Nh//OMfOpUuzJw6n3/+eWlpaWZmZmFhYUFBQUNDA5Obt7f38OHDx44d6+/vb9n02hUfH19dXV1aWvro0aOffvqpoqKiurpaKpVqNBqxWOzj4xMYGBgSEuLv78/hmFVD381jYYLRo0cfPXo0MzPz+++/v3PnTkNDg7Ozs5+f37Rp0yZPniwUCq2bHgAAAAD0JZSA7/CrMR09OljQj7Jrv4bbZCJVv/E+plS9W9yPFMUuLmvPFQ2w9zB4CI9SEs4vFrflONEUx6ULsmvDaXB3nAUAAAAAehiKpmlr5wAAAAAAANBnrVq16vbt29HR0VFRUdbOpedqbm6WyWQCgaAnzLEE3aOlpYWdl4vD4fTv39+6+UC3USgUTU1NFEW5urpaOxfoJkqlsrGxkd10dnbm8fDlPVtRU1NDCBGLxVYvm4Zu4+Dg0NraysTvvPPOtm3brJsPdJumpiaFQmFvb9/RXJ7Q90gkEnYRbR6P5+zsbN18oNvIZLLm5mYul+vi0i1FjdADyOVyiUTCbvbv39/ML91Bb6HRaOrq6kjPGPSWlpYZM2YQQk6cODFs2DAze8MzGAAAAAAAAAAAAAAAAAAAAABsAr69AQAAAADQpzx9+nT16tVMvHXr1qCgIDM7lMlkkZGRTBwTEzNz5kwzOwQAAAAAAAAAAAAAsBYUygAAAABAOyIjI2UymfaepKQk4+dT3bBhw/3797X37Nq1y8/Pz2L5Qcdomlar1Zbtk+1Qo9FYtmcAAAAA6KsevhKrqKkjhNRae5J2HV7POFO1T9p5QMAXhg7QcyAVFEiodl5pl9Fue8st/0n7oFrxo+N1Fu+2qykVP9+i5Nvl/9mXZsVkTDDUTbDjd3naeyil8MqI49bKx3gvlh3nCrDGGQAAAIBRUCgDAAAAAO1Qq9U6xRbXrl1buHChMcc2NDTk5OR0TV4AAAAAANA7qJsktKSZEGLhIm7zyQR0S2M7+1V8orDXdyAtJXQ7V6Ohlc1Ky1+lTK6UNMkt3m1Xo+mfY5lK0yBVWi8XUzTJeBr6F18a4VAcWU17TxgAAAAA6LV6Vi0/AAAAAPRYJ0+epLU/8uzY1atXuzgXAAAAAAAAAAAAAAAAU6BQBgAAAAD04XA4FEURQpqamoqLiw22p2n65MmTTMzn87s2OQAAAAAAAAAAAAAAgM5AoQwAAAAA6CMSicLDw5mNa9tuAAAgAElEQVT4/PnzBts/fPiwqamJEMLhcObNm9e1yUG3EAqFZ/9n1qxZ1k4HAAAAAAAAAAAAAMB0KJQBAAAAAAPYepfLly8rFAr9jdlimjlz5nh4eHRtZgAAAAAAAGBtjZInR//9alVtgbUTAQAAAAAwCgplAAAAAMCAIUOGuLi4MHFWVpaelnK5/MqVK0w8d+7cLs8MAAAAAAAArI0mRKNRE0JbOxEAAAAAAKPwrJ0AAAAAAPR0FEUtXrz48OHDhJCTJ09OmTKlo5ZsGY2Li4uvr++9e/c6e67q6ur09PS8vLz8/PyWlhahUOjv7x8YGDhlyhRPT0+TL6GzaJouLS398ccf79+///Dhw7q6Oh6P5+Xl5efnN378+LFjx/L5fNN6VqvVd+7cuX79el5eXm1trVgsDgwMnD17dnBwMEVROo3r6uquXbuWkZFRUlKiVCqHDh0aGhoaHh4uFos7e16lUpmRkZGenv7gwYP6+npnZ+fg4OBJkyaFhoZyuVzTrqVdarX69u3b33//fXZ2NnOikSNHTpkyZdKkSSbfNMtSq9X37t27c+fO/fv3S0tLVSqVq6trUFDQr371q9DQ0B6SJAAAAAAAAAAAAAB0ERTKAAAAAIBhzzzzDFMoU1RUVFtb6+rq2m6zlJQUJliyZEnbsg/9Ghsbd+3alZOTo71ToVBkZWVlZWV9/vnnw4YN+7//+z93d/d2Dz9w4MDly5c7dcbp06e/9dZbOjtbWlq++eabkydPNjU16WRSUFBQUFBw/vx5iqKio6PDw8P1X+PTp09Xr17NxFu3bg0KCiouLt64caN2z7W1tWlpaWlpab6+vu+++66joyOzX61Wf/zxx+w6Voz8/Pz8/PwjR47ExMTMnj3b+CvNycnZvn27VCpl99TU1Fy5cuXKlSsODg4bNmwYM2aMnsNlMllkZCQTx8TEzJw5s6OWDx482Lp1q0Qi0T5RTU1Nenq6QCBYv379uHHjCgsL4+PjmUcPHjw4aNCgtv2kpaX94x//YOLk5GSRSKT/6jZu3MjEhw4dGjBgQEctaZq+cOFCUlKSXC7X3l9eXl5eXn7x4kUul7ty5crf/OY3nX32AgAAAAAAAAAAAEBvgaWXAAAAAMAwsVg8evRoJv7uu+/abVNTU1NcXMzE06dP71T/OTk5r7zyik6VjI7i4uLXXnstPT293UfVJmnbT3x8fFJSkk6VjA6apg8cOLBlyxaNRqO/mfaJcnJy3nzzzY56LikpWbt2rUKhIISoVKq3335bp0pG2/79+7/55hs9p9aWkZGxYcMG7SoZbS0tLf/3f//39ddf6++EvRA9l3z58uV169ZpV8lok8vlmzdvvnbtmnZvNN3+3Ow6t84ggx0SQlpbW9etW5eQkKBTJaPTT0JCwrZt24w8LwAAAAAAAAAAAAD0OphRBgAAAACMsnjxYmYppS+//HLRokVtp9y4cuUKEwQFBXVqbaBHjx5t2LCB3QwODl6+fLmvr6+dnZ1KpXry5ElycvKtW7eYR//+979v27YtODjYrIsxxNfX94UXXggICHB1dbW3tyeEqNXq+vr6jIyMzz77TCaTEUJ++OGH5OTkl19+2ZgO7969e+rUKULIhAkTXnrpJW9vbzs7O6VSWVxc/MEHH5SXlxNCampqPvnkk9dff33Pnj0FBQUCgSAqKmry5MlisZiiqKampgsXLiQnJzMd7t+/PywsrF+/fvrPe/v27S+//JIQ4uXltWrVKn9/f6FQqNFoKisrT506xc7B89FHHw0aNCgkJMTE+0VIbm7uvn372M1f//rXixcvHjhwIIfDkclkRUVFhw4dKikp2bNnz6JFi0w+i8nkcvnatWufPn3KbA4YMGDFihVjx451cnKiKEoulxcUFBw+fLikpIQQkpWVtWfPHnbaGwAAAAAAAAAAAADoS1AoAwAAAABGCQ4O5nK5arW6ubm5sLDQ399f+1GNRnP69Gkm7lQlhFqt3rJlC7v56quv/u53v2M37ezshgwZsmHDhkuXLn344YfMzh07dhw9epTP52v3ExsbGxsbq/9cNE3v2LEjIyOD2fzVr37Vts348ePXr1/v5eWls5/H4w0YMOD555+fNWvWxo0b8/LyCCEpKSnz5893cXExeJnMolSrV6+eN28eu5PP548aNWrfvn3R0dFVVVWEkNTUVGdn5/T0dE9Pz927d7MrMRFCxGLx0qVLBw4cuGfPHmbPv//9b3ZFpI4wVTLMIlNcLpfZyeVyBw8eHBsbO2XKlK1btzI733vvveTkZDs7O4PX0pZard6xYwe7+c4770ycOJHdtLe3DwoK2rt37759+7799lumYKib7du3j62SmTdv3p/+9Cf2bhBChELh2LFj9+7de/DgwUuXLhFCbty4MXfu3KCgoO5PFQAAAAAAAAAAAAC6FAplAAAAAMAoPB5v3rx5//73vwkh586de+utt7QfffDgQWtrKyGEy+V2arqXb7/9tra2lonnzJmjXSWjLTw8/OnTp0y5iUwmO3XqlMEakbaSkpLYKpkFCxbMnj27bZuoqCj9nQgEgk2bNq1YsYJZwefChQtGZjJ37lztKhkWn8+Pjo7evHkzs3ns2DFCyHvvvaddJcN65plnjh49ytR8fP3118ac2svLKy4ujsNpZ9HVCRMmrFy58tChQ4QQmUz29ddfL1iwwJhr0XH58uWWlhYmjoqK0q6SYXE4nLVr1z569Ihdn6vbFBUVpaWlMfHEiRNXrVrVdj4kQgiHw1mzZk1BQcGjR48IIR988MHHH3/cbkttSqWyurpafxtmISeNRoMVnfRgls1iVt2ydi7QTXTWSsPQ2w5mFT/8vNsUnaUb8TsReoAO1+s0sbuOFwA1q9uu6BQMajOavWUg1Go1Ubfzvq/bMD8I+E/epmj/74dXdzYFL+ltkM5Lev0LoENfwg59Txh0y/6fg0IZAAAAADDWb37zG6ZQ5urVq9HR0UKhkH3o7NmzTPD8889rz9Vh0L/+9S82fvXVV/W0XLp06enTp1UqFSHk1KlTS5cubbf4oyPnz5//6quvmDgsLMxgQYweIpEoIiKCqWgxvlBmxYoVHT00ZswY7c2IiIiOZqmhKOr5559PSkoihDQ2NkokknbrabStWbNGz42aO3fu0aNHmSKn48eP//a3vzVYGtIWO4j29vYvvPBCR80oilqzZk1cXFxn+zfTF198wcZr167Vc4EURcXExDAZVldXP3782NvbW3/nZWVlL774ov42w4cPJ4TIZLL6+vpO5G2TFAqFQqGwdhZgBRqNBj8gNgiDbrOampqsnQJ0E50/qPQcapW63XcsBj/6p2m63deSGo2GkE68CTKSWqWyeJ9gkLrN87bHPpN1NDQ0cPjW/4uPXC5nvlUCtoZZsdraWUC3wvs4W9bY2GjtFKC79YRBZz7EJhZ6eWbN+mIAAAAA6F28vLwGDBjAxJmZmez+1tbW9PR0Jp4zZ47xHdbU1LCzccycOVMkEulpzOfzf/vb3zKxQqFgpv0wUlZWVmJiIhP7+/vHx8ebUA6iLSQkhAnq6+tlMpnB9hMmTNBzdXw+38PDg9389a9/racr7UWvGhoa9J9XKBQGBgbqacDlciMiIpi4ubm5srJSf4dt1dbWsnMCLVy4UH+Z1IgRI5ycnDp7CnNIpdKsrCwmnjFjhsG6ohEjRtjb2zPxzZs3uzY5AAAAAAAAAAAAAOh2KJQBAAAAAGNRFLVkyRImZlZBYnz//fdM4O7u7uXlZXyHpaWlbDxt2jSD7SdPnszGRUVFRp6luLh469atbIbbt2/v1Jw37RKLxWxsTDX9+PHj9Tfw9PRk40GDBhl5aoOFMtOmTTNYEjRu3Dg2NmFdJO2KpQkTJuhvTFHUs88+29lTmEM7venTpxtsT1FUUFAQE+fn53dRVgAAAAAAAAAAAABgLdafiA8AAAAAepGpU6cePHiQEPLo0aPq6mpmgpkTJ04wjy5ZsqRTM7U8efKEjbUrRToycOBANi4pKTHmFDU1NfHx8UwsEon27NmjvWJUR2iaLisry83NvXfv3pMnTyorK3Xmjtae3bGpqUl7Pph2GWzAzjcjEAh4PH2v0gUCARsrlUr93fr5+elvoJPb48ePDbbXUV5ezsbu7u4G2zPrEHUb7Svy8fEx5hBvb++MjAxCyIMHD7oqLQAAAAAAAAAAAACwEhTKAAAAAEAnODo6jhs37ocffiCEXLlyZdmyZRUVFWypxNSpUzvVW0VFBRsbsyKPg4MDG2sX2XSktbU1Li5OoVAQQjgczp49e7SnY+lIZmZmYmJiVVWVwZYMpn/9tKtb2sXh/HeuR2PqeIzHLpWlB7vSEPnliBhJ+xD9i2cx3NzcOnsKc5SVlbFxbGwsc59pmmb+ZQNCiEajYQK1Ws20l0gkNE3rr/3y8PDYtWuX/hyOHj1KCBEIBN287FTvIpPJFAqFnZ2d9hMS+jZm0JmYoiiDK6NBn6FSqVpbWzHoNkWtVre0tLCbDg4O5k/vB71CrXmrnXYdTgfPQINF/x01YF/MWxZ+Uqyi7WhyOD30mazD0dGRK7CzYgJSqVSpVAoEAoPvf6HPYAadiblcrvaHNtC3KZVKqVTK4XD69etn7VygmzCDzm46Ojqaua499BY0TUskEtIzBp19eWyRTFAoAwAAAACd87vf/Y4plDlz5syLL7546dIlZv+ECRM6+/ZYe0IU/dOoMLQ/stSZ4qXdzt9+++36+npmc/v27YMHDzZ4ikOHDp07d85gs65j2Q/Z+Xy+wTban78bvKttadcJGZN8N39mqv0eXiaTWbx/BweHmTNn6m9z/PhxQgiXyzVmOGwWW9CGu2Q7tH8FUBSFobdBGHTboTMHnp2dnTEv/KAPsPon6R2xeGJddKU99gb2bW1vO0V6x0Dw+Xwu35qFMswbLryktynanyHgJb1NYSZaxqDbFObbZSw7O7suKhSGnoadWL0nDDr71hKFMgAAAABgBWPGjOHz+QqForW1NSsr69///jez/3e/+11nu7Kz+/lTPHYaDz20FzzSX29B0/T27dvZ5Zn+/Oc/jxkzxmD/V69eZatkOBzO/Pnzw8LCPD09HRwceDweRVHsS/Dy8vLVq1cb7NDqjJntRvuumvABh/YhGo3G4NdeTajFMQf+DgcAAAAAAAAAAAAA2vCpMQAAAAB0DpfLnT9//pdffkkI2blzp0qlIoQIBILAwMDOduXh4cHGEonE4CS92pP2e3p6dtSMpukDBw7cuXOH2YyMjHzuuecMJqNWqxMTE5nYyclp//79Li4uehob7LAnqKmpMdimtbWVjQcNGtTZU2gPYmtrq8HFrWprazvVv84XVtrSPxba6R07dgwTQQMAAAAAAAAAAADYOMyJBAAAAACdFh4ezgRMlQwh5IUXXjA4lUhbXl5ebFxeXm6w/dOnT9nY19e3o2YnT55kF4SaOXPmsmXLjEmmvLycLcSJjY3VUyWjk0lPVlRUZLBNdXU1G2uPiJG0F7Sqqqoy2L64uNhgG+3nksGaJP3FQEOHDmVj7SsFAAAAAAAAAAAAANuEQhkAAAAA6DRPT0+dqUdmz55tQj8+Pj5sfPPmTYPtMzIy2Hj48OHttklLSzty5AgTBwUFxcbGGrlk6ePHj9l41KhR+hvfvn3bmD6tLi0tzeCMLD/88AMba5eVGGnIkCHtdtWR7777zmAbJycnNpZIJPob5+bm6nlUO73eMmoAAAAAAAAAAAAA0HVQKAMAAAAApliyZAkbDx482IQlewghAwYMcHNzY+JLly7JZDI9jZVK5dmzZ5mYz+cPGzasbZv8/Pzdu3czsZeX16ZNmzgcY1/xyuVyNtY/O45cLr948aKR3VqXVCp98OCBngZqtZpZRYsQ4uDgoGdBq464ubmxs++cPn1a/wQwRUVFjY2NxvTJxj/99JOelgqF4urVq3oaiMXigIAAJj5x4gQ7BxIAAAAAAAAAAAAA2CYUygAAAACAKWbNmnX2fxISEkzuZ+nSpUxA0/QXX3yhp+Xp06fZWpYFCxa0rYCprKxcv349Ezs5Oe3evZvP5xufiXZxRmlpqZ6WSUlJvaje4sCBAxqNpqNHL1++3NzczMRLliwxcvYdHewgtra2XrhwoaNmNE0fPHjQmA7d3d3ZTNjqqHYdP35cz9Uxli9fzgRSqfTw4cPGJAAAAAAAAAAAAAAAfRUKZQAAAADAmmbNmsXOR3LmzJmOZmq5fv360aNHmVggEGjPZ8OQSCRvvfUWM50Jj8f75z//6eDg0KlMfH192fjDDz9stxSGpunjx4+npqZ2qmfrKikp2b9/f7vVJNnZ2QcOHGBigUAwf/58004RHh4uEomYODEx8c6dO23bMFUyRUVFxnTI5XKnTZvGxPn5+bdu3Wq32bfffpuSkmKwt9GjR7O9paamJiUl6Z/2hhBSU1Nz5MiRlpYWY7IFAAAAAAAAAAAAgF4EhTIAAAAAYE1cLvdvf/sbu3ngwIEdO3aUlJQwdSpqtfrx48d79ux5//332TZ//etfhUKhdicqleovf/kLOzPKrl27BgwY0NlMHB0dp06dysRlZWVr1qzJzs5mV4NqbW3Nzs6Oi4tLTk4mhCxevLiz/VvFCy+8QAi5cuXKW2+9de/ePYVCQQjRaDRVVVWHDh3SvvPx8fGdmoBHG4/HY+fyIYRs2rQpISGhsrKSqc5RKBR5eXlxcXFMFdSCBQuM6fPll19m4x07dhw7dqyhoYGmaUKIXC4vLCzcvHnzBx98wOVy21ZNtbV27Vp2dbAzZ868/PLL58+fr6ysZG4IIUSj0bS0tJSUlFy4cOHNN9+MiopKSUkxOFcNAAAAAAAQQpwdBy9f8Lm760hrJwIAAAAAYBSetRMAAAAAAFs3YsSILVu2bNmyhalLuHXrVkcziBBC3nrrrfHjx+vslEgkFRUV7Oa6deuMOe/06dPfeust7T0xMTHZ2dlMwU1FRYV2HYm2NWvWBAcHnzx50pizWNfkyZMDAgJ27dpVXFysXcui449//GNoaKg5JwoODn799dfZRbhSU1PbnXcnJiZmyJAhX331lcEOBw4cGBkZeezYMWbz2LFjbKxt586dCoXC4LwyAoFg796927Zty8nJIYQ0NzcnJiYazAEAAAAAAAAAAAAA+h7MKAMAAAAA1hcSEvLpp5+OGjVKTxsfH59Dhw49++yzBntTG03nQJFIlJCQ4O/v31HPQqFw8+bNc+bMMe6yeoRp06Zt3ry5o9li7O3tt23bZuQsL/rNnTv3vffe62jFKx6Pt2HDhtmzZxvf4bJly1avXt3Ro25ubgcOHBg50tgvrQqFwu3bt7/zzjtisVh/S4qiwsPD9+/f7+joaHy2AAAAAAAAAAAAANArYEYZAAAAAOgRXFxcdu3aVVVVdePGjfv37+fl5TU3N4tEopEjRwYGBk6ZMsXLy6sb0hCLxbt37y4sLLx69Wpubm5ZWRkhxN3dPTAwMCwsLCQkxM7OrhvSsKxx48YlJyffunUrPT09Pz+/oaHByckpJCRk0qRJkydP5nK5ljrR6NGjjx49mpmZ+f3339+5c6ehocHZ2dnPz2/atGmTJ0/WWTDLIIqi5s2bN3369OvXr2dmZj548KC1tdXNzW306NHPPvtscHBwZzOnKGrixImff/55aWlpZmZmYWFhQUFBQ0MDIcTd3d3b23v48OFjx4719/fvjaMMAAAAAAAAAAAAAMagaJq2dg4AAAAAAGArCgsL4+LimPijjz7y9PS0bj7dYNWqVbdv346Ojo6KirJ2Lj1Xc3OzTCYTCASYyMd2tLS0SKVSJuZwOP3797duPtBtFApFU1MTRVGurq7WzgW6iVKpbGxsZDednZ15PHx5zyaoampra2oJIU5OTj1q0Lk8DUVR7T1CU0K9edrxCGnnQBUhErXFqs9ZGhWhpL3v03svH3eptJWJ/7zur2+/s8m6+XQWl0tcRCrtPRqVRlEpt1Y+xnPwciPtP7G7SVNTk0KhsLe372ieUeh7JBKJXP7fnw4ej+fs7GzdfKDbyGSy5uZmLpfr4uJi7Vygm8jlcolEwm7279+fw8HCNTZBo9HU1dWRnjHoLS0tM2bMIIScOHFi2LBhZvbWg96fAAAAAAAAAAAAAEDfwHNz5RKaEMITi/v2jH08Qly64oN2ASG9sN5Au1TDQcDzcOrcvJI9ENeO2HlbOwkAAAAAsCgUygAAAAD0KTKZrLCwMDc398GDBxUVFfX19RqNxsHBwcfHZ+jQoUOHDg0ICPDw8OjgC5Rdm1hkZCQTx8TEzJw5s5sTAAYGAgAAAAAAAAAAAABsGQplAAAAAPqIioqK5OTk69evt31IoVDU19dnZ2czm46Oji+++OKcOXOEwm79bp9arWYCjUbTneftvSIjI2UymZ4GIpHIy8tr6NCh48aNGzNmjEgkMqZbDAQAAAAAgEF12Q+Ljlwy4UD34a72mhaL52OQy0h7Ow/jvhFBUaqhQ6R2/31fUFbneOm+xd4bqjQ/Lxd1/8enxz69TQjp52kn81N1fJBhIh7P28GsHrz7+boIsOofAAAAABCCQhkAAACAPkCpVH788cepqalGtpdIJJ988klSUtKLL764ZMkSPp/fpemBydRqNVvU0i6JRJKXl5eXl/f1118TQubNm/fKK690c/0TAAAAAECf1FT45N4/TppwoHB5aOtP+RbPxyCnZcN5knqjmlIcpVd4C/Xfxj/VDTuaybVUGtqFMsUFtRe+uk8I8QsdUCaqM6fbAcJ+UleJOT2I+c4olAEAAAAABgplAAAAAHo3iUQSHx//5MkTds+gQYMWLlwYEBDg5uYmEokoiqJpWiaTVVdX5+bmfv3112VlZYQQmqaPHz8uEAgWL15svfTBkr7++usbN24cOHBALBZbOxcAAAAAAAAAAAAAgJ4IhTIAAAAAvVhra+sbb7xRX//fLwK6uLi8/fbbgYGBOs0oihKJRL6+vr6+vs8//3xZWdlHH32Uk5PT7fmC6U6fPs3l/uJbnjRNq1Sq2tra//znP0ePHlWpVISQpqam+Pj4hIQEDodjpUwBAAAAAAAAAAAAAHouFMoAAAAA9FY0TW/evJmtkvH399+xY4dAIDB4oLe3944dOzIzM99///0uzvFnQqHw7Nmz3Xa6voeiqLZ77OzsBg4cGBERMXPmzFWrVkmlUkJIRUVFRkbG5MmT2+0HAwEAAAAAAAAAAAAAtgxfMwUAAADora5cuZKfn8/Ebm5u7777rjFVMqzQ0NBPP/3Ux8ena7KDbuXs7Lx27Vp289q1a1ZMBgAAAAAAbIesquTOhjnNj3KtnQgAAAAAgLEwowwAAABAr6RUKj/66CN2c/369Xw+v7OdiESiiRMnWjQvsJqgoCA27snravn5+WFKGwAAAACAvoOmabWK0LS18wAAAAAAMBYKZQAAAAB6pZs3byoUCiYeNWqUn5+fdfPpIjRN5+bmXr9+/ccff6ytrbW3tx85cmRoaOj06dNFIlGnulKr1ffu3btz5879+/dLS0tVKpWrq2tQUNCvfvWr0NBQI8uMaJouLS398ccf79+///Dhw7q6Oh6P5+Xl5efnN378+LFjx5pQrmQp2jdELpeb32FVVdXt27fv3r1bUlJSU1PD4XAGDBgwbNiwMWPGhISEuLu7d0MPPfmGAwAAAAAAAAAAAEBvhEIZAAAAgF7pzJkzbLx48WKL95+WlvaPf/yDiZOTk/VXpeTk5GzcuJGJDx06NGDAgLZtZDJZZGQkE8fExMycOVOnwdOnT1evXs3EW7duDQoKqqys3LhxY2VlJdtGoVBkZGRkZGQcPHgwLi7umWeeMeZaaJq+cOFCUlKSTvlIeXl5eXn5xYsXuVzuypUrf/Ob31AU1VEnLS0t33zzzcmTJ5uamrT3KxSKgoKCgoKC8+fPUxQVHR0dHh6up5+uI5VK2Xjw4MEdNTM4EIQQiUTyz3/+MysrS2d/WVlZWVkZs65TQEDAa6+91lGFlvk9WOqGW/yZDAAAAAAAAAAAAAC9GgplAAAAAHofuVxeVFTEbo4ePdrip6BpWq1WG9+ebUx3POE220aj0Rg8Y1FRUVxcXEe90TT9/vvvt7S0zJ07V39ira2tGzduLCgo0J98QkJCZmbmhg0buFxuu23i4+PLysr0n4um6QMHDty8eXPjxo0cDkd/Y4u7f/8+G0+aNElPS/0D0djYuGrVqtbWVv2ny8vLi4uLO378uL29vcV7IJa74V3xTAYAAAAAAAAAAACA3guFMgAAAAC9z5MnT9jY1dXVwcHBisl0hdzc3JSUFJqmR40atXz58mHDhtnb29M0XVNTk5KScvHiRaZZQkJCWFiYs7NzR/3I5fK1a9c+ffqU2RwwYMCKFSvGjh3r5OREUZRcLi8oKDh8+HBJSQkhJCsra8+ePfHx8XoS8/X1feGFFwICAlxdXZnyDrVaXV9fn5GR8dlnn8lkMkLIDz/8kJyc/PLLL1vqbhhDIpHs3buX3Zw9e7bJXW3ZsoWtcQkLC4uIiBg8eLBIJKIoSqPRNDc3M1PCsKPQFT2weuwNBwAAAAAAAAAAAIBeCoUyAAAAAL1PeXk5Gw8fPtyKmXSRY8eOEUKWL1++aNEidlUdiqLc3d3XrFnj4+Nz+PBhZuepU6f++Mc/dtTPvn372CqZefPm/elPf9KeMEYoFI4dO3bv3r0HDx68dOkSIeTGjRtz584NCgpq29X48ePXr1/v5eWls5/H4w0YMOD555+fNWvWxo0b8/LyCCEpKSnz5893cXEx+Q4YSbtqhF16KTo62s3NzbQOnzx5wk5W9Pvf/37ZsmXaj3K5XLFYLBaLx4wZExUVdfbs2a7ogdEzbzgAAAAAAAAAAAAA9HYolAEAAADofaqrq9nYx8fHipl0nZkzZy5evLjdh+bPn3/mzBnmJly8eDEqKootptFWVFSUlpbGxBMnToM2K0oAACAASURBVFy1alW7zTgczpo1awoKCh49ekQI+eCDDz7++OO2LaOiovQnLBAINm3atGLFCrlcTgi5cOFCZGSk/kM6JSIiQiertisKeXt7x8TEjBo1yuSzFBYWsvGiRYv0tLS3t1+6dGlX9MCw+g0HAAAAAAAAAAAAgD4JhTIAAAAAvU9jYyMb99VZNPTME0NRVERERGJiIiFEJpPV1dW5urq2bfbFF1+w8dq1a9utkmE7jImJiYuLI4RUV1c/fvzY29vbhJxFIlFERAQzHY7F6zY0Go3+BnPmzHn11VdFIpE5Z6mtrWUCoVBoZ2dnlR6M16U33Ejl5eWbNm3S34ZZiEomk2n/5IIOpvBLqVTiLtkO7Wo/mqYx9LaDpmmCQbcxzKCzmpub9bwwgz6ppaWlNw46u5xoZ6lVKqt87K5W6VbS62us9YtYrVYTwtXT2HxqtcrMHgy+ITJIKpU2avCrpwsxTyq5XK5SmTvc0Fvo/E+CV3e2g/k/WaPRYNBth84v4qampt746g7MIZFIrJ3Cz6/PzX9lSFAoAwAAANAbKZVKNubxDLyia2pqWrFihZ4GO3bsCAwMtExmFhISEuLo6KinQUBAABu3WygjlUqzsrKYeMaMGfp7I4SMGDHC3t6eWb3o5s2bphXKEEJCQkKYuo36+nqZTCYUCk3rxwQXL168ePFiRETEH/7wB4PPio6wN0omk7W0tDg4OHR/D51ixRvOkMlkd+7c0d+GWR9No9Fo/+RCuzQajUXe6EKvQ9M0fkBsEAbdZuEPqDaolw562xkcjaT5ZXFYt6E7c15a83PjTh1oGvNPQRNze1CpVEoOfvV0Obykt1l4SW+DMOi2rJe+ugNz9ISfd8vmgEIZAAAAgN5He6IOY96W6P+Etxs+Fe2s0NBQ/Q3EYjEbNzQ0tG3ArKPEmD59usEzUhQVFBSUkZFBCMnPzzcyT/2JNTY2WrBu4/Tp01yu7rc8NRpNS0tLYWHh0aNHi4qKCCFffvnl3bt3d+7cadqp/fz82Hjnzp3r16/v7BQ15vfQKV13wwEAAAAAAAAAAACgT0KhDAAAAEDv4+TkxMbtlon0dgMHDtTfgM/ns7FCoWjb4PHjx2zs4+NjzEm9vb2ZQpkHDx501Iam6bKystzc3Hv37j158qSyslIul2s30P7mXFNTk4eHhzGnNka705lyOBxHR8dx48aFhIScOnXq888/J4QUFxfv2LFj27ZtJpxlyJAhgwcPfvLkCSEkOzt72bJl06ZNmzt37vDhw42sdzG/B21WvOEAAAAAAAAAAAAA0CehUAYAAACg9xkwYAAbl5aW6m/s5OR09uxZnZ1nzpxJSkqyfGYWIhAIzOyhrKyMjWNjYzkcDvnf3Dk0TbMBIUSj0TABO++ORCKhabptYUpmZmZiYmJVVZWRObRbwdNFKIpatGjR7du37927RwjJzs7Oy8vTXqDK+H62bNkSExPDrEJFCLlx48aNGzcIIa6urhMnTgwNDQ0ICNCzoJL5PbB68g1nOTg4zJgxQ3+bp0+fEkK4XK52gRfoUKlUGo2Gw+GYvHAY9DpqtZr9j5eiKO3J0qBv02g0zHx4+F/RduhMy29nZ9duBTD0ScwrNB6Px7wg711MflnCsdIzvFM3meL8nGQ3JExR5j4BKGJukjweD796uhTzkp7L5badDBX6KmbQmRgv6W0K85Ieg25T2PdxDLyktx3su7meMOiWXfMLH0ECAAAA9D6enp5sXFxcbEIPff5zK7ZKgxAik8nM7/DQoUPnzp0zv5+uQ1HU73//+w0bNjCbZ86cMaFQhhDi7u7+6aefJiUlXbp0SXt/bW1tampqamoqIWTChAmvvPJKR1P1mN8D6Q03nOHh4bFnzx79bVatWkUIEQgE2nNBgY7m5maZTGZnZ+fo6GjtXKCbtLS0sP9XUxSFHxDboVAompqaMOg2RalUNjY2spsODg4oi7QdNTU1hBAHB4fe+Ie0Ont70w7kWukZzuF2ohhF+y0hp+vfHpr/DtT8Wit7e3snR/zq6UJNTU0KhYLP5xvzvQjoGyQSCTvtK5fLxas72yGTyZqbmzkcDgbddsjlcolEwm46Ojr2xjJoMIFGo6mrqyM9Y9DZl5QWyQRvSgEAAAB6n8GDB7NxdXV1a2urCYva9G2W/evL1atX2aINDoczf/78sLAwT09P5s88FEWx1fTl5eWrV6+24Kk7ZciQIWx88+bNdufFMYZIJHrjjTeioqLu3r2bnp6ekZGhs+BRVlZWVlZWRETEihUr2j2FmT30lhsOAAAAAAAAAAAAAL0OCmUAAAAAeh+hUDhs2DB2Lpn79+9PmDCh607HrEykB7t2Rs/h4eHBxseOHTPnC21qtToxMZGJnZyc9u/f7+LioqexyScyn069lFQqNaeCSiQSTZkyZcqUKTRNNzQ0FBcXp6WlXbt2jb3GL7/80sfHZ+bMmZbtoetueG98JgMAAAAAAAAAAACAZWFOJAAAAIBeacGCBWyckpJi8f61Z8Y2WD3ATKjeowwdOpSNq6urzemqvLy8paWFiWNjY/UUbRBCnj59as65LItZPtZ8FEW5uLiMHz/+zTffTElJiYqKYh86dOgQux65pXqw7A3v7c9kAAAAAAAAAAAAALAsFMoAAAAA9EpTp05lVxfKy8srKCiwbP/aawxrL0DbrtzcXMue3XzaixDdvn3bnK4eP37MxqNGjdLf2Mxzmam1tVV7UyAQWPwUPB5v4cKF4eHh7BmZRWot2INlb3hvfyYDAAAAAAAAAAAAgGWhUAYAAACgV+Lz+StXrmQ3d+3apVAoLNi/m5sbG//00096WioUiqtXr1rw1BYhFosDAgKY+MSJEyqVyuSu5HI5G2tPT9Juy4sXL5p8IvM9evSIjR0cHIRCYRedaMqUKWxssPqksz1Y9ob39mcyAAAAAAAAAAAAAFgWCmUAAAAAeqs5c+aMGDGCiauqqjZt2mTBWhl3d3eKopj47NmzeloeP37cmMV3ut/y5cuZQCqVHj582OR+tCstSktL9bRMSkoypyLHTDRNf/HFF+zmc88913Xn0p4Dpl+/fpbtwbI3vA88kwEAAAAAAAAAAADAglAoAwAAANBbURS1detWdmWZe/furV69urCw0OCBcrnc4BIzXC532rRpTJyfn3/r1q12m3377bcpKSmdybr7jB49mr2E1NTUpKQktVqt/5CampojR460tLRo7/T19WXjDz/8sN3KDJqmjx8/npqaanbWpjt9+vS9e/fYzQULFpjQyYkTJ3JycvTfKKlUeuTIESYWCoXadS0W6cGyN7wPPJMBAAAAAAAAAAAAwIJ41k4AAAAAAEzXr1+/AwcOrFu3rrKykhBSU1MTFxfn4+OzcOHCkSNHurm5CYVCZjoNpVLZ2tpaWlp6/fr1S5cu0TRtsPOXX345LS2NiXfs2BEZGTl37lyxWExRlFwuLy0tTU5O/uGHH7hcbkRERM8sMli7du3Dhw8rKioIIWfOnLl8+fJLL700fvz4/v378/l8QohGo5FKpTU1NXl5eRcuXCguLiaELFy4ULsTR0fHqVOnpqenE0LKysrWrFkTHR09cuRIZmGj1tbWwsLCzz77rKioiBCyePHikydPdtsF0jQtlUofPnx45MiR/Px8dv8f/vAHDw8PEzp8+PDh0aNH+Xx+eHj4pEmTvL29HR0d7ezsCCFqtbqpqSk7O/uTTz5pbGxk2q9evZqdr8VSPVj8hveBZzIAAAAAQI8l9BgybucVa2cBAAAAANAJKJQBAAAA6N3EYvGHH3740UcfXb58mdlTWlq6b98+Y451cXFZuXJlYGBgu48OHDgwMjLy2LFjzOaxY8fYWNvOnTsVCkXPLC8QCAR79+7dtm1bTk4OIaS5uTkxMdGEfmJiYrKzs5ubmwkhFRUVf/vb39pttmbNmuDg4C4qlImIiNApKKFput2lgsLDw5csWWLOuRQKxblz586dO6e/2Zw5czpa4MnMHix7w/vAMxkAAAAAAAAAAAAALAVLLwEAAAD0enw+PzY29sCBA2FhYUYeMnr06B07dvy///f/pk6dqlN+oW3ZsmWrV6/u6FE3N7cDBw6MHDmy0xl3I6FQuH379nfeeUcsFutvSVFUeHj4/v37HR0ddR4SiUQJCQn+/v56zrJ58+Y5c+ZYIOMOaDQa9S+1rZIZNGjQ9u3b33jjDT1jahGOjo7r1q2Ljo42+UT6e7D4De8Dz2QAAAAAAAAAAAAAsAjMKAMAAADQR3h7e69fv14qlRYUFPz4448FBQUVFRW1tbUajcbe3t7T03PIkCFeXl5+fn7Dhw8XiUTG9ElR1Lx586ZPn379+vXMzMwHDx60tra6ubmNHj362WefDQ4O5nK5XX1d5qMoauLEiZ9//nlpaWlmZmZhYWFBQUFDQwMhxN3d3dvbe/jw4WPHjvX392dWCGqXWCzevXt3YWHh1atXc3Nzy8rKmMMDAwPDwsJCQkL0HNt1eDyeh4fHkCFDRo0aNX78+MGDB5tZIhMfH19dXV1aWvro0aOffvqpoqKiurpaKpVqNBqxWOzj4xMYGBgSEuLv78/htF9zb34PDMve8L7xTAYAAAAAAAAAAAAA81E0TVs7BwAAAAAAgD5r1apVt2/fjo6OjoqKsnYuPVdzc7NMJhMIBG2ndIK+qqWlRSqVMjGHw+nfv79184Fuo1AompqaKIpydXW1di7QTZRKZWNjI7vp7OzM4+HLe7aipqaGECIWi61SVm6mhrzSki/TTDjQ1dtRSMktno9Bjr4CvoeRU8jTam9vmd1/p6gsbxClFQktlUb0zECF7L+/4pcuWv37pdGEEHt3O+UwtTndCjmcQQ5m9eAp8hLznc3pAfRrampSKBT29vYODg7WzgW6iUQikcv/+98dj8dzdsaPmK2QyWTNzc1cLtfFxcXauUA3kcvlEomE3ezfv7/+r8BBn6HRaOrq6kjPGPSWlpYZM2YQQk6cODFs2DAze8ObUgAAAAAAAAAAAACAX3AO8HHe8JK1s+gqPEL6/S/2H0D8B1is51gOpfhf7Bfg9tslQRbrGgAAAADAQlDqBQAAAAAAAAAAAAAAAAAAAAA2ATPKAAAAAJiitbX1/v37ubm5Dx48ePr0aUNDg52dnaurq5+f37Bhw8aMGTN06FD9UxE+ffp09erVTLx169agoO7+mp1MJouMjGTimJiYmTNndnMC0FvYzlOlsLAwPj6eiQ8ePDho0CDr5gMAAAAAPZayWSp5WM5u8gVc7SXFGgY4qngW/pKqUsFTKinL9tkVaPrnWK6RNSrqCSE8itgrZRylymppOXkRqhfcPQAAAADoHiiUAQAAAOicsrKyzz77LCMjQ2e/SqV6/Pjx48ePv/vuO0KIQCBYunTp/PnzhcL213qnaVqtNmuFdfOxCWg0GutmAiaLjIyUyWRMfOrUqS5aKdZ2nirsldLaH/ADAAAAAPxS3Z2ir2e8yW5OXBFKFeezmyf+/mqFssWyZ3RT+lzIVBhuZ21y9c9vGUpbf/rm8deEkJHOLiOqHgnysqyVFWfBIULhryEAAAAA8F94aQgAAABgLKVSmZCQcPnyZWMay+Xyzz//PDk5+bXXXps3bx6F765B11Cr1VavuAIAAAAAAAAAAAAA6C1QKAMAAABgFIlEsm7duvLyn+fWHjhw4LJly/z9/d3c3AQCASFEpVI1NjYWFRVdunQpKyuLEKJWqxMTE4cMGTJ69GirpW49TU1NK1asYOJ169ZNmTLFuvkAAAAAAAAAAAAAAICNQ6EMAAAAgGFSqTQ2Nra2tpbZFIlE77zzzujRo3XmibGzs3Nzc3Nzc5s8eXJ9ff3HH3+clpZmjXx7ECxkAwAAAAAAAAAAAAAAPQcKZQAAAAAMoGl6+/btbJXMsGHD3n33XZFIpP8oFxeXdevWzZo1a8eOHV2foymEQuHZs2etnQUAAAAAAAD0YrKqkry9K/3+tKffkDHWzgUAAAAAwCgcaycAAAAA0NNdv349JyeHiZ2cnHbu3GmwSoYVEhJy+PBhBweHLssOAAAAAAAAwHpomlarCOYQBQAAAIDeAzPKAAAAAOijUqkOHDjAbsbHxwuFwk714OLi4uLiYum8AAAAAAAAAAAAAAAAoNNQKAMAAACgz61bt2QyGRMPGTIkKCioS09H03Rubu7169d//PHH2tpae3v7kSNHhoaGTp8+3fhpbFhqtTonJyc9Pf3+/ftVVVUqlSowMNC0paCqqqpu37599+7dkpKSmpoaDoczYMCAYcOGjRkzJiQkxN3d3YQ+jadWq+/cuXP9+vW8vLza2lqxWBwYGDh79uzg4GCKonQa19XVXbt2LSMjo6SkRKlUDh06NDQ0NDw8XCwWG3MumqZLS0t//PHH+/fvP3z4sK6ujsfjeXl5+fn5jR8/fuzYsXw+3/jMrXvfuj8Zy949nZ7N/9FQq9W3b9/+/vvvs7Oz6+vrnZ2dR44cOWXKlEmTJpmcGAAAAAAAAAAAAAD0LiiUAQAAANDnq6++YuNly5a1LcuwoMrKyo0bN1ZWVrJ7FApFRkZGRkbGwYMH4+LinnnmmY6Offr06erVq5l469atQUFBBQUFW7dubWpq0m6mVCrZWCaTRUZGMnFMTMzMmTPb7Vkikfzzn//MysrS2V9WVlZWVnbt2jVCSEBAwGuvvebn58c+Gh0dXVFRQWtNvr1r1y4Op511P1NSUni8n1+Utr2Q4uLijRs3al9IbW1tWlpaWlqar6/vu+++6+joyOxXq9Uff/zx+fPntfvPz8/Pz88/cuRITEzM7Nmz271GRktLyzfffHPy5Emdm6ZQKAoKCgoKCs6fP09RVHR0dHh4uMFngmn3rYt0QzIWvHttnwPm/GiwHjx4sHXrVolEwu6pqampqalJT08XCATr168fN25c564ZAAAAAAAAAAAAAHqhdv5WAQAAAAAMhUKRn5/PbnbpdDJFRUWrVq3SLgXQRtP0+++/n5qa2tHhNE2r/4cQkpWV9Ze//EWnZKEt9hCNRtNug8bGxj/96U9tCyx05OXlxcXFSaVSnZ61u9XOUJv+C8nJyXnzzTc7upCSkpK1a9cqFApCiEqlevvtt3WqZLTt37//m2++0XMV8fHxSUlJ+m8aTdMHDhzYsmVLR3eMYfJ96wrdk4wF757Oc8DMHw3G5cuX161bp10lo00ul2/evJkpGAIAAAAAAAAAAACAvg0zygAAAAB0qLy8nI1dXFzYmUssLjc3NyUlhabpUaNGLV++fNiwYfb29jRN19TUpKSkXLx4kWmWkJAQFhbm7Oysv7fbt2+fPn2aEDJixIhXXnllxIgRTG9VVVXp6emdSmzLli2tra1MHBYWFhERMXjwYJFIRFGURqNpbm5m5iNhM7Ssu3fvnjp1ihAyYcKEl156ydvb287OTqlUFhcXf/DBB8zo1NTUfPLJJ6+//vqePXsKCgoEAkFUVNTkyZPFYjFFUU1NTRcuXEhOTmY63L9/f1hYWL9+/fSc1NfX94UXXggICHB1dbW3tyeEqNXq+vr6jIyMzz77jFmH64cffkhOTn755Zc76sS6982KyVjk7mmzyI9Gbm7uvn372M1f//rXixcvHjhwIIfDkclkRUVFhw4dKikp2bNnz6JFi8y9BQAAAAAAAAAAAADQs6FQBgAAAKBDjx8/ZuPhw4f/f/buPb7p6n78+PkkaZqm9GZLgXIpcqncClYuctUNZxGEwZCpzK8ycQrSFdw62U9RQdG56ZfvJtcVXDdFRLmogAoITBR5iNwr91IQWigUeqGXtEma5PP747N9lpU2TdM0SZvX8w8e709ycs4759OUT9J3zmm+gdauXSuEeOyxxx544AF1VxpJkuLj49PS0rp06bJq1Srlxo0bNz7xxBOue/voo4+EEJMmTXr88cede2vfvn2j6gAuX76cm5urxL/4xS8efvhh53u1Wm1UVFRUVFS/fv2mT5++efNm53szMzOFEDdu3HjssceUW5599tlRo0a5P7oQYv369UKImTNnjhs3Tr1Rr9f36tVr8eLFs2bNunbtmhBi69at0dHRe/fuTUhIePPNN53rmaKioh566KH27dsvWrRIuWXLli3qhlO1DBw48LnnnuvUqVOt23U6Xdu2be+///6f/OQnL7300qlTp5Tcxo8fHxMTc3M/TZk3r/NZMt6avVqa/tKw2+2vvfaaevjCCy8MGTJEPQwLC0tOTn7rrbcWL178z3/+UynMAgAAAAAAAAC0YhTKAAAA1Ov69etq3KVLl2Yda/To0VOmTKnzrvHjx3/yySdKMtu3b58+fbpaMVCfAQMGOFfJeObs2bNq7LrCJiws7KGHHrr5do1GU2fsvrFjxzpXyaj0ev2sWbMWLFigHCrlFK+//nqdq/7cdddd7733XmFhoRDi888/r69QZvr06a6TCQ0NnT9//rRp0ywWixBi27ZtdXbV9HnzIp8l463Zu1kTXxo7d+40mUxqks5VMiqNRjNnzpwLFy6cP3/enZSclZeX//Of/3TdRnnKNptNWVMHdVJ22rLb7cxS8LDZbGosyzKnPngop56THlRq7bZptVqdfwMgGFit1ps3XW3plB1gVQ6HrHU6lGVXm416RpZlr/fpMw6Hw/UGrM3NbDYLDX8NaV7Ky5w3PkHF+Xe7w+Hg1AePmpoawSV9kKl1AW+xWJr4yTNaCvUSNBBOuvo7xysXxlwaAgAA1KusrEyNY2Njm3UsF+vESJI0efJkZY0Ws9lcUlLSYDIzZ85s+mVrcXGxEhgMhpCQkCb25plp06bVd1e/fv2cDydPnlzfCiWSJN1///1ZWVlCiLKysoqKCo930TIajZMnT1bqcuor9QiEeQvMZNyZvZs18aXxwQcfKEFYWNiECRNcdJWWlpaRkeFOSs6KiopeffVV122U9aisVmtlZWVj+w82NpuNWQpOsixz6oMQJz1oqZtCInhUV1f7OwXvq/WkbHabc6GMw+H9opYWXWzksNv9WyhTWVlJoYxv1NTUKH9BR7BRNnf2dxbwKU56MFO/lobgEQgnXX0v6ZVCGU++1wsAABAknD/c0ema8TO1lJQU16UbvXv3VuOSkhLXvcXHx3fs2LHpWakpmc1mv1wHDxo0yGg01nevXq9v166denjPPfe46CopKUmNb9y40ZSsUlJSlKC0tLTO7834fd4CNhnhxuzd3L4pL43i4mK1VGjSpElarVbUr0ePHpGRkQ2mBAAAAAAAAABo0SiUAQAAqJfzChzNuj784MGDXTeIiopS4wbrPEaNGuWFnITo2bOnGv/xj3/0/Xd/Bw4c6LpBQkKCGnfo0MFFy0ZNoGvOXTmvOaTy+7wFbDLCjdmrpYkvjQsXLqjxoEGDXHclSdKPfvSjBlMCAAAAAAAAALRoLDYIAABQL+flJUpLS5tvoPbt27tuoNfr1dhqtbpu3LlzZy/kJETXrl07dux4+fJlIUR2dvbDDz88cuTIsWPHdu/e3cVCL17kvGBMndQ0QkNDXS/5ExoaqsauV4GWZTk/P//48eMnTpy4fPny1atXLRaLcwPnBcPLy8tvTtLv8+bHZJo+e7U08aVRUFCgxvHx8a67Ev/eIwkAAAAAAAAA0IpRKAMAAFCvtm3bqnFeXl7zDeRcxtF0MTExXulHkqSXX345PT29urpaueWbb7755ptvhBCxsbFDhgwZPHhw7969w8PDvTLczRqcFo3mX+sjGgwGr4x44MCBzMzMa9euudm+zqIlv8+bv5LxyuzV0sSXxpUrV9TYncKguLi4xg7RtWvXr776ynWb3/zmN0KIsLCw2NjYxvYfPEwmk9lsDg0NbdOmjb9zgY9UVVWpv5o0Go23/vNC4LNarRUVFZIk3XLLLf7OBT5SU1NTXl6uHkZFRTXrrqYIKMo+mJGRkc6rdbYOtv/etbPWE9RqNcIhvEun0wnR8CV0YNKFhPj3hR8bGys0/OZpXhUVFVarNSwszPdfEYG/VFZWql+P0el0zmu+onVTNvjWarXR0dH+zgU+YrFYKisr1cOYmBj1g1m0bg6HQ/kKcSCcdPWvAF7JhEtDAACAenXs2FGNz50758dMGsWLnz/Gx8f//e9/z8rK+uKLL5xvLy4u3rp169atW4UQgwYN+uUvf9mlSxdvDeoBr1wZr1y58tNPP216PyLA5s03yXhx9rzIuRbHnR8SD+pyNBpNg2VGkiQp/yoBXGOWghanPnio55qTHjxqnWv+TwxCrfKk1/7Bvul+36UCN0iSJFrdD2HAan2vd7iJUx88uKQPQlzSBy3n17vfT7p3E6BQBgAAoF4JCQlqXFxcXFFRERER4cd8/MJoNP7617+ePn360aNH9+7du3///lqb6Rw8ePDgwYOTJ0+eNm2a36+VPbZ79261zkOj0YwfP37YsGEJCQnh4eE6nc75bUBBQcHMmTMb7DCg5q25k/H67HmL88ZMDodDq9W6bl9rWgAAAAAAAAAArQ+FMgAAAPUyGAw9evTIzc1VDk+cODF06FD/puQvRqNx+PDhw4cPl2X5xo0b58+f37Nnz1dffWW325UGH330UZcuXUaPHu3fPD1jt9szMzOVODIycsmSJS52AFGfsjsCat6aKZnmm72ma9eunRpXVVU1uAq0sjUAAAAAAAAAAKAVY/MwAAAAV372s5+p8QcffCDLsh+TCQSSJMXExAwcOPCZZ55Zv3799OnT1btWrlzpcDj8mJvHCgoKTCaTEs+ePdtFnYcQorCw0IMhAmrevJuMD2bPY867p127dq3B9ufPn2/OdAAAAAAAAAAA/kehDAAAgCtDhw4NDQ1V4vPnz588edK/+QQUnU43adKk1NRU5bCqqqqkpKS+xoFcY3Tp0iU17tWrl+vGhw4dauJwjZq35tb0ZHw8e43StWtXNT58+HCD7b/88stmzAYAAAAAAAAAEAAolAEAAHAlJCRkxowZ3X6REQAAIABJREFU6uEbb7xhsVga1UNZWVleXp638wogw4cPV+OKigrnuzSa/1xt2mw23+XUSM7nVKvVum65fft2rwzqYt58rynJ+GX23BQXF6eucPPxxx+73vgpNze3rKzMJ3kBAAAAAAAAAPyGQhkAAIAG3HPPPeo6GaWlpfPmzTObzW4+9tixY08++aTfyyCalfMCJG3atHG+y2AwqPH169d9l1MjxcXFqbHrqqasrCxvVfy4mDffa0oyfpk99z300ENKUFVVtW3btvqaybK8fPlyXyUFAAAAAAAAAPAbCmUAAAAaIEnSggULoqKilMOcnJwnnngiJyfH9aMqKioWL17cqKqaQLNu3bpjx465XoSjurp69erVSmwwGJxrJoQQOp0uPDxciQ8cONBMeTZdYmKiGi9durTOYg5Zlj/88MOtW7c22FvT582LfJCMd2fP61JTU41GoxJnZmYeOXLk5jZKlUxubq5vUwMAAABaA0O7rnf8cVebW5P9nQgAAADgLgplAAAAGmY0GpcuXdquXTvlsKKi4ne/+11aWtqePXuuXr1aU1Oj3G6328vKyo4cOfLmm28+8sgjO3fu9F/KXnDu3Ll58+Y99NBDK1euzM7OLikpcX6mpaWlu3fvfuqpp0pLS5UbZ86cKUlSrU5Gjx6tBKdPn96yZUtFRYUsyz57Cm6KiIgYMWKEEufn56elpWVnZ6sVTlVVVdnZ2RkZGWvWrBFCTJkyxXVvXpk3b/FBMt6dPa/T6XTPPfecejh//vwVK1ZcvXrV4XAIIaxW66lTpzIyMpQ9oSZOnOjj9AAAAAAAAAAAPqbzdwIAAAAtQ1RU1LJly5YtW/bll18qt+Tn57/55puuH6XRaB5//PHevXs3f4LNxWq1fvrpp59++qnrZmPGjPnxj3988+2TJk3asmWLEq9atWrVqlVCCI1Go1ZjrF+/Xqfz/0Vpenp6dnZ2ZWWlEOLKlSsvvvhinc3S0tIGDBiwYcOGBjts4rx5V3Mn4/XZ864BAwY8/fTTK1asUA63bt1a59o26enpXbt23bRpk2+zAwAAAAAAAAD4FCvKAAAAuEuv1//mN79ZvHhxSkpKg411Ot3//M//fPDBBxMnTtRoWvNFV0RExLPPPjtr1qw6VyJp27bt73//+1p3ORwO+7/5Ks0GGI3GFStWJCUl1dfAYDAsWLBgzJgx3hrR9bz5WBOT8f3sNdbYsWNff/11dSOwWnQ63bx58+69914fZwUAAAAAAAAA8D3/f3kXAACgZenatevLL79cUVFx6tSpY8eOnTlzprCw8MaNGyEhIbGxsT179uzWrVtycnK3bt20Wq2/k22SuXPnXr9+PS8v78KFCz/88MOVK1euX79eXV3tcDiioqK6dOnSp0+flJSUpKQk15VAI0aM+OCDD/bt23fgwIELFy5cvXrVZrP57Fm4Lyoq6s033zx79uzu3buPHz+en58vhIiPj+/Tp8+wYcNSUlJCQkLc6cdb8+YVPkvGW7PXfPr27fvee+8dOHBg3759R44cuXHjRnR0dM+ePUeOHDl06FCDweDf9AAAANCyaMP0Ubd1/s9hdJSuS0f1MFZncOi8/H4wXGNIvKUFfJ6f7VR7HyLpI0IihRB6jUHStRFt2vstLQAAAMCJJMuyv3MAAAAAgFZrxowZhw4dmjVr1vTp0/2dS+CqrKw0m82hoaERERH+zgU+YjKZqqurlVij0dxyyy3+zQc+Y7Vay8vLJUmKjY31dy7wkZqamrKyMvUwOjo6EHbehG8UFRUJIaKiovxeNg2fCQ8Pr6qqUuIXXnhh4cKF/s0HPlNeXm61WsPCwupbyxOtT0VFhcViUWKdThcdHe3ffOAzZrO5srJSq9XGxMT4Oxf4iMViqaioUA9vueWW1r2GOlQOh6OkpEQExkk3mUx33323EGLdunXdunVrYm/8BAMAAAAAAAAAAAAAACAo8O0NAAAAAK6YzeapU6cqcXp6+ujRo/2bT/M5e/bs3LlzlXj58uUdOnTwbz4AAAAAAAAAAK+jUAYAAADwnalTp5rNZiXeuHGj39erdJPdblcCh8Ph30yam/pM2aMWAAAAHvvnlAXluZfdadk/tZsoKnSnZeTcu0VXe9PyapKKmrjcMlODzRziP28ZPv6+8GzW/uF31JQ5ylw8xNmcqtNtrP/VWApvK93560alCgAAALhGoQwAAADgO3a7XS3FAAAAANAqledcKj3+gzstbXdE2s5dcKdlG3mw3VHZpLSaxiEby6w3Gmwmi/9UnJdU15y9XtnHar9safiBCpupUFRf/68OZYfUqEQBAACAhrSML7ACAAAAAAAAAAAAAAAATUShDAAAAAAAAAAAAAAAAIIChTIAAAAAAAAAAAAAAAAIChTKAAAAAAAAAAAAT1zKvfzwbdNOHzzj70QAAAAAd1EoAwAAAAAAAAAAPCHLst1ml2V/5wEAAAC4TefvBAAAAADUy+FwnDlz5ujRo6dPnz537pzZbI6IiOjRo8ftt99+5513xsXFudOJ3W4/ceLEkSNHTp48mZeXZ7PZYmNjk5OTb7/99sGDB+v1em9lK8tyXl7e999/f/LkyXPnzpWUlOh0uk6dOvXs2XPgwIH9+/f3eCxZlo8fP/71119///33xcXFYWFht9122+DBg0eNGmU0Gt3sxG63Hzp0aN++fdnZ2aWlpdHR0bfddtvw4cPvvPNOL04CAAAAAAAAACCQUSgDAAAABCJZlnfu3Pn2229XV1c7315cXFxcXPzdd99lZmYOGjToqaeeat++vYtOtm3blpWVZbFYnG8vKCgoKCjYvn27Vqt96qmn7rvvPkmSmpKtyWTasWPHhg0bysvLnW+3Wq05OTk5OTmfffaZJEmzZs1KTU11PVZhYeHMmTOV+JVXXklOTr569epLL7109epV527379+/f//+5cuXZ2Rk3HXXXQ1meObMmVdeeaWiokK9paioqKioaO/evaGhoc8999wdd9zRuOcMAAAAAAAAAGiBKJQBAAAAAo7JZHrxxRdzc3NdNzt48ODBgwc3b95c571VVVUvvfRSTk6Oix7sdvuKFSsOHDgwb948rVbrccJz587Nz8933UaW5WXLln377bcvvfSSRlPvJrCyLNvtdvUwNzc3IyNDrmcld1mW//d//9dkMo0dO9bF0Dt37ly8eHF991oslgULFmRkZCQkJLh+CgAAAAAAAACAlo5CGQAAACCwVFdXp6enFxUVKYcGg+HBBx8cOXJkbGysTqeTZbmioiIvL2/Hjh27d++urxOLxTJnzpzCwkLlsG3bttOmTevfv39kZKQkSRaLJScnZ9WqVRcvXhRCHDx4cNGiRXPnzm1i5omJiRMmTOjdu3dsbGxYWJgQwm63l5aW7t+//5133jGbzUKIw4cPr1mz5tFHH3Wnw+PHj69fv16W5V69ej322GPdunULCwuTZbmoqGj9+vXbt29Xmq1YsWLYsGHR0dH1deJcJXPPPfdMmTKlffv2Go3GbDbn5uauXLny4sWLixYteuCBB5o4AwAAAAAAAACAAFfv9zgBAAAA+MWiRYvUKpkBAwb84x//UAo7QkJCJEnSaDRRUVHJycm//e1vV69eXd9KKosXL1arZMaNG7dy5cq77rorOjpao9FIkmQwGPr37//WW2+lpqYqbb755ptjx455nPPAgQOXL1++ZMmS1NTUzp07G41GSZIkSdLpdG3btr3//vtXr17du3dvpfH69etLS0vd6Xbt2rU2m+2xxx7705/+1K9fP6VbjUYTHx+flpb25JNPqi03btxYZw92u/21115TD1944YU5c+Z07NhRq9VKkhQWFpacnPzWW2+NHj3aRScAAAAAAAAAgFaDFWUAAACAAHL8+PH9+/crcY8ePRYsWOBiR6SoqKinn3765ttzc3P37NmjxEOGDJkxY4YkSTc302g0aWlpOTk5Fy5cEEL85S9/efvtt+ts2aDp06e7bhAaGjp//vxp06ZZLBYhxLZt26ZOnepOz6NHj54yZUqdd40fP/6TTz65fv26EGL79u3Tp0+/OfmdO3eaTCY1ySFDhtzcj0ajmTNnzoULF86fP+9OSs4cDofNZnPdRtk3Spbl+jaQgmCW8O+fAQQD9Vxz0oNHrXPNb/sgxElHE/Hz0yJwSQ9OffDg9R6EuKQPWs5v4f1+0r2bAIUyAAAAQABZs2aNGs+dO9dFlYwL77//vhrPmTPHRe2LJEnp6ekZGRlCiOvXr1+6dKlz584ejOgOo9E4efLktWvXisYUyjzxxBP13SVJ0uTJkzMzM4UQZrO5pKQkNja2VpsPPvhACcLCwiZMmOCiq7S0NGUeGuXChQsPPvig6zbdu3cXQlRXVxcXFze2/2BjtVqZpeDkcDg49cFGlmVOetAqKyvzdwrwtfLycn+n4Gt2u93Nlg1WXTu39KSk3Xtqamo8e6D7z1EI4ZAdtW6x2+1l/JfRcpjNZmXXXQQbm83G1V2w4X1cMHNzrWi0JoFw0quqqpTA4ah9xegBtl4CAAAAAkVFRcWJEyeUOCUlpX379h50Ul1dffDgQSW+++67IyIiXLfv0aNHWFiYEn/77bcejOi+lJQUJSgtLXXnw9OUlBTX+avbOQkhSkpKat1bXFysfmQzadIk11VHPXr0iIyMbDAlAAAAAAAAAECLRqEMAAAAECiULZAU9957b9M7GTVqVIPtJUlKTk5W4tOnT3s2qJuioqLU2J1vkw8ePNj9Dm/cuFHrXuepGDRokOuuJEn60Y9+1GBKAAAAAAAAAIAWja2XAAAAgECRl5enxl27dvWsk0uXLqlxly5d3HlI586d9+/fL4Q4c+aMZ4MqZFnOz88/fvz4iRMnLl++fPXqVYvF4tzAeVXM8vLydu3aue6wwTV19Hq9Glut1lr3FhQUqHF8fLzrrsS/90gCAAAAAAAAALRiFMoAAAAAgcK5sMN5rZRGyc/PV+PZs2drNBohhCzLyr9qIIRwOBxKYLfblfYVFRWyLEuS5MG4Bw4cyMzMvHbtmpvtb65ruVloaKgHmaiuXLmixkajscH2cXFxjR0iLi5u7ty5rtt8/vnnQgi9Xt+mTZvG9h88LBZLTU1NSEhIE086WhDlpCuxJEnh4eH+zQc+Y7fbq6urOelBRTnp6qHRaFSuTxAMKisrhRBhYWGuN8Fsfdz/IddqNHa3+5Q9TsgbtBoPT6JGoxFuPkkhbn4zotFouJBuEcxms81m0+v1zt9nQOumnHQl1mg07rzvRutQU1NjsVg46UHFZrM576IeHh7u2eeHaHFkWTaZTCIwTrqagFcyoVAGAAAACBTOtSMhISGedeL8hyjnd7DNauXKlZ9++qlvxnKf83y687cKD0o0IiMjH3zwQddtdu3aJYTQ6XQGg6Gx/QcPm81WU1Oj0WiYpeBht9udC2U49cHDarUq/1Vx0oNHTU2N8/WJXq/X6fhMMlgohTJ6vd7ji9sWyv3P7iW3S2o0bpfUNBON1sMSt0bVxkmi9tRxndBSKO+/tFot5yt41NTUOBfKcOqDisVi4fdzULFYLM4fM4aGhlL7HiQcDodSKBMIJ139tieFMgAAAECr4vzFu5qaGs8+bvD9X552796tVsloNJrx48cPGzYsISEhPDxcp9NJkqS+dSkoKJg5c6bPEnOeT4fD0eD3mGttFAUAAAAAAAAAaH0olAEAAAACRUJCghqXl5dHRER40Em7du3UeO3atc29sYXdbs/MzFTiyMjIJUuWxMTEuGjcrMnU4jwVVVVVDe5mVVxc3MwZAQAAAAAAAAD8jDWRAAAAgEDRpUsXNb548aJnndx6661qfP369abm1JCCggJl+U0hxOzZs11UyQghCgsLmzsfZx07dlTja9euNdj+/PnzzZkOAAAAAAAAAMD/KJQBAAAAAkXXrl3VeOfOnU3v5NChQ03LqGGXLl1S4169erlu7IN8nDlPxeHDhxts/+WXXzZjNgAAAAAAAACAAEChDAAAABAoIiIi1FqTgwcPerb+SlRUVO/evZV43bp1NpvNa/nVxWKxqLFWq3Xdcvv27c2aTC1xcXHqCjcff/yx642fcnNzy8rKfJIXAAAAAAAAAMBvKJQBAAAAAsijjz6qxosWLXI4HB508thjjylBdXX1qlWrvJNZPeLi4tQ4Ly/PRcusrKzmrtq52UMPPaQEVVVV27Ztq6+ZLMvLly/3VVIAAAAAAAAAAL+hUAYAAAAIIMnJyYMGDVLi06dPv/rqq2azub7GJpPpb3/728239+3bd+TIkUq8devWrKws14upCCGKiopWr15tMpkam3BiYqIaL126tM5SGFmWP/zww61btza286ZLTU01Go1KnJmZeeTIkZvbKFUyubm5vk0NAAAAAAAAAOAHFMoAAAAAgeV3v/udumHQwYMHH3/88S1bthQVFSnFLrIsm0ymM2fOLFu2bOrUqZs2baqzkzlz5nTo0EGJP/nkk0cfffSzzz67evWq1WpVbnQ4HCaT6eLFi9u2bXvmmWemT5++fv16DxawiYiIGDFihBLn5+enpaVlZ2erxT1VVVXZ2dkZGRlr1qwRQkyZMqWx/TeRTqd77rnn1MP58+evWLHi6tWryjO1Wq2nTp3KyMhQ9oSaOHGij9MDAAAAWrrOPTutP/de78G3+TsRAAAAwF06fycAAAAA4L8YjcalS5f+v//3//Lz84UQJpNp1apVjd1BKTQ09K233lq4cOGxY8eEEJWVlZmZmc2SrhDp6enZ2dmVlZVCiCtXrrz44ot1NktLSxswYMCGDRuaKY36DBgw4Omnn16xYoVyuHXr1jrXtklPT+/atWt9hUcAAAAAAAAAgNaBFWUAAACAgBMREbFkyZLp06frdK5K2wcMGLB8+fL67jUYDK+++uoLL7wQFRXlejhJklJTU5csWRIREeFBtkajccWKFUlJSS4yWbBgwZgxYzzo3CvGjh37+uuvh4eH13mvTqebN2/evffe6+OsAAAAAAAAAAC+x4oyAAAAQCDSaDSTJk2aMGFCdnb20aNHT548efHiRavVesstt3Tv3n3AgAF33nlnfHy8604kSRoyZMi7776bl5d34MCBs2fP5uTk3LhxQwgRHx/fuXPn7t279+/fPykpKSQkpCnZRkVFvfnmm2fPnt29e/fx48eVtXDi4+P79OkzbNiwlJSUJvbfdH379n3vvfcOHDiwb9++I0eO3LhxIzo6umfPniNHjhw6dKjBYPBvegAAAAAAAAAA36BQBgAAAPCddevWNaq9Vqu944477rjjjqYMKklSYmJiYmKiZw83GAybN292Z5SkpCQX68oIIdq3b99gV+60UUVERLjfWKvVDh06dOjQofU16Nmzp/u9AQAAAPW5e808W7XFnZbGcK3GvWXftR2MksGf1ecWu2Z0R6nBZlqhVeOf9o1Pf2yQIcyh1drdHCXSNkIjHP/do59r7gEAAND6UCgDAAAAAAAAAIDXxCTf6u8UvC/EvYIeZ23b6Pt2iGzkg2IbPQwAAADQSI2/tgUAAAAAAAAAAAAAAABaIFaUAQAAAOA1ZrN56tSpSpyenj569OhaDQoLC2fOnKnEr7zySnJycnOPCAAA0EKVffGVrfSGBw8MjQ8L7yQLIU6HJVzy6yfAJpNJCGEwGbRabYON4UfWKmPpjdrbKoXbZcM1U2O7sttlNS6tKckpO9XU5IQQQug1UluD1StdBYjL712wlri1P1dLYTab7XZ7SEiIXq93vj1p+n36mAh/ZQUAAFAnCmUAAAAAd02dOtVsNquHqampTz/9dIOPci4NmTp16oMPPthc+QUGu92uBA6H4+Z7ZVlWG/hmRAAAgBaqZMOW6jO5HjwwbkxvY+9CIcShxJ/uMVV5Oy+0QlHVXXYdqV2G0t8Q4vjyQmO7stv+c01eZCn8vvhwE3NTxBmModprXukqQJxa9W3Jvnx/Z+ELXX46nEIZAAAQaNh6CQAAAHCX/b9t3bq1qKiowUcppSEKKjkAAAAAAAAAAPAjCmUAAAAAz61atcrfKQAAAAAAAAAAAHdRKAMAAAB47ttvv718+bK/swAAAAAAAAAAAG7R+TsBAAAAoGVbvnz5a6+95u8sAoXBYNi8eXPrHhEAAACAqqzi8pbdL6QOfy4+NsnfuQAAAABuYUUZAAAAoNHCw8NHjx6txMeOHcvNzfVvPgAAAADgF7IQDoddCNnfiQAAAADuolAGAAAAaDRJkn75y1+qh0uXLpVlPhcGAAAAAAAAACDQsfUSAAAA4Ino6OhJkyZ98sknQojz588fP348OTm56d3KspyXl/f999+fPHny3LlzJSUlOp2uU6dOPXv2HDhwYP/+/fV6vWc92+32I0eOfP3116dOnSouLo6KiurTp8+99947YMAASZJqNS4pKfnqq6/2799/8eLFmpqaW2+9dfDgwampqVFRUU1+inWoqanZv3//3r17z5w5U1paGh0dPWDAgDvvvHPw4MFardZbozTf3AIAAAAAAAAAWgoKZQAAAAAPPfzww5s2bVLWklm6dOlf//rXmytO3GcymXbs2LFhw4by8nLn261Wa05OTk5OzmeffSZJ0qxZs1JTU10PVFhYOHPmTCV+5ZVXkpOTz58//9JLLzn3XFxcvGfPnj179iQmJv7hD3+IiIhQbrfb7W+//fZnn33m3OHp06dPnz69evXq9PT0e++918XQZrN56tSpSpyenq5uUOXCsWPHXn311erqavWWoqKiXbt27dq1Kzw8fN68ef369WviiF6cWwAAAAAAAABAi8bWSwAAAICHjEbjI488osRXrlw5cOBAU3qbO3duVlZWrUqOWmRZXrZs2csvv+xwOFw3s/+bEOLYsWPPPPNMfT1fvHhxzpw5VqtVCGGz2X7/+9/XqpJxtmTJkh07drh+IurQrpNU7N+/f968ec5VMs5MJtPzzz//+eefN3FEL84tAAAAAAAAAKBFY0UZAAAAwHMTJ05ct26dUmWybNmygQMHNnGroMTExAkTJvTu3Ts2NjYsLEwIYbfbS0tL9+/f/84775jNZiHE4cOH16xZ8+ijj7rT4dGjRzdu3CiEGDRo0COPPNK5c+eQkJCamprz58//5S9/KSgoEEIUFRX97W9/e/rppxctWpSTkxMaGjp9+vShQ4dGRUVJklReXr5t27Y1a9YoHS5ZsmTYsGFt2rRpytNUHDp06KOPPhJCdOrUacaMGUlJSQaDweFwXL16dePGjTt37lSa/fWvf+3QoUNKSkoTh/P63AIAAAAAAAAAWhxWlAEAAAA8p9SUKHFpaenXX3/tcVcDBw5cvnz5kiVLUlNTO3fubDQaJUmSJEmn07Vt2/b+++9fvXp17969lcbr168vLS11p9v169c7HI6ZM2e+9NJL3bt31+v1kiTp9fpevXotXrw4Pj5eabZ169a1a9fu3bs3ISEhKytr7NixMTExGo1GkqSoqKiHHnooIyND7XPLli0eP01nSpXMqFGjlixZMmDAgLCwMEmStFptx44dZ8+e/dJLL6ktX3/99ZqaGo8Haqa5BQAAAAAAAAC0OKwoAwAAADTJmDFjVq9ebTKZhBCZmZkjR44MCQnxoB+14KY+oaGh8+fPnzZtmsViEUJs27Zt6tSp7vQ8duzYcePG3Xy7Xq+fNWvWggULlMO1a9cKIV5//fWIiIibG991113vvfdeYWGhEOLzzz93c+gGderUKSMjQ6Opo4J/0KBBTz311MqVK4UQZrP5888/nzhxomejNN/cXrt27c9//rPrNsrPhsViqaiocC/fYGSz2ZR/maXgoZx0hSzLnPrgoe5wx0kPHrW2NayqqpIkyV/JtCzKNppNeaDN0x4QbOr8YQuoPUkDKhmvkB2yv1PwEZPJJPGffivlfElvt9u5ugseyv8aDoeDkx48av1HXFlZySV9kJDlf12xBMJJr6qqUgKvXBlSKAMAAAA0iVarnTlz5qJFi4QQVVVV27ZtmzBhQjONZTQaJ0+erFS0uF/MMW3atPru6tevn/Ph5MmTY2Ji6mwpSdL999+flZUlhCgrK6uoqKiznqax0tLS6qySUYwdO/a9995T3gJ9+OGHP/3pT5vv/Zhnc1tZWbljxw7Xbbp37y6EsNvtShUOXLDb7R7/RRAtmizLvECCDSc9mCl7VsId6qfSjeWQ//XBcfD8JR5NVOcPm0N2BNCK9Pwst1hWq5X/9IMBV3dBiJMezLikD0KBcNK9+zsngC50AQAAgBZq1KhRsbGxSvz3v//dbDY331gpKSlKUFpa6s5AgwYNMhqN9d2r1+vbtWunHt5zzz0uukpKSlLjGzduNJxrQwwGQ58+fVw00Gq1kydPVuLKysqrV682fVAXGju3AAAAAAAAAIAWh0IZAAAAoKk0Gk1aWpoS22y2jz/+uPnGioqKUuOysrIG2w8cONB1g4SEBDXu0KGDm0N7pVBm5MiRDa4Qc8cdd6jx+fPnmz6oC42dWwAAAAAAAABAi8PWSwAAAIAXDBw4sGPHjpcvXxZCfPDBBz/96U/Dw8M96EeW5fz8/OPHj584ceLy5ctXr16ttaSk8w6s5eXlzuvB1KnBBup6M6GhoTqdqzcIoaGhalxTU+O6W3f07NmzwTbO+V+6dKkpw3l9boUQBoOhb9++rtsoc6XRaFxPb5Cz2+2yLEuSpNVq/Z0LfMThcDi/6HiBBA9ZlpVN1jjpwUM96QqtVuv3ve1bCo8nShLSv3vwXjZo5er4WZHqutFvAikXNIpWq+U//dbK+ZKed3NBRT31vLqDB5f0wcxms4nAeL17Nwf/Px8AAACgFZAk6de//vVzzz0nhJBl+f3333/yyScb28mBAwcyMzOvXbvmZnt3toZ1rm6pk0bzr2UmDQaDm+N6S9u2bRtsExYWpsZXrlzxeKzmmFshREJCwjvvvOO6zYwZM4QQBoMhOjrazdGDUGVlpdls1uu06m31AAAgAElEQVT1ERER/s4FPmIymaqrq5VYo9HwAgkeVqu1vLxckiROevCoqalxXqotIiIiED5jbRFKPf2LozrDOp1OWNy6qkGQ0+m0Qthr3ajVah11tvYH9W1LqyFpguXvi5GRkZH8p99KVVRUqN8/0Wq1XN0FD7PZXFlZyUkPKhaLpaKiQj2Miopqff81o04Oh6OkpEQIERkZ6feTHhISogReyYQ3pQAAAIB39O3bNykpKScnRwixZcuWKVOmxMTEuP/wlStXfvrpp82WXcN8/1ZHr9c32Mb5G2m1FoBxn9/nFgAAAAAAAAAQICiUAQAAALwmLS1tzpw5SpyVlZWRkeHmA3fv3q1Wcmg0mvHjxw8bNiwhISE8PFyn00mSpC5nWlBQMHPmTK9n7hfurNrivDOLO4U1NwvOuQUAAAAAAAAA1IlCGQAAAMBrbr311jvuuOPw4cNCiK+++uqRRx5p3759g4+y2+2ZmZlKHBkZuWTJEhdL0TjvB9zSFRUVNdimqqpKjTt06NDYIYJ2bgEAAAAAAAAAdWLzMAAAAMCbZsyYocZ//etf3XlIQUGByWRS4tmzZ7vesKmwsLAp6QWU3NzcBttcv35djTt16tTYIYJ2bgEAAAAAAAAAdaJQBgAAAPCmDh063HXXXUp8+PDhCxcuNPiQS5cuqXGvXr1cNz506FATsgsse/bskWXZdRtleR7Frbfe2tghgnZuAQAAAAAAAAB1olAGAAAA8LInnnhCjZcvX97ghj4Wi0WNtVqt65bbt29vYnqBo7q6+syZMy4a2O32jz76SInDw8MTEhIaO0TQzi0AAAAAAAAAoE4UygAAAABeFhMTc//99yvx6dOnd+zY4bp9XFycGufl5blomZWVZbPZmp5h4Fi2bJnD4ajv3p07d1ZWVirxz3/+c0mSGtt/MM8tAAAAAAAAAOBmFMoAAAAA3veLX/xCjdU1UeqTmJioxkuXLq2zXEOW5Q8//HDr1q3eyjBAXLx4ccmSJXXWymRnZy9btkyJQ0NDx48f70H/wTy3AAAAgA9ER3R8bOK78bG3+TsRAAAAwF0UygAAAADeFxERMXXqVPcbjxgxQonz8/PT0tKys7PNZrNyS1VVVXZ2dkZGxpo1a4QQU6ZMaY6E/WLChAlCiF27dv32t789ceKE1WoVQjgcjmvXrq1cufLFF19UW86dO1ev13swRNDOLQAAAAAAAACgTjp/JwAAAAC0Tj/72c/Wr1/v5m4+6enp2dnZyjZDV65cca4RcZaWljZgwIANGzZ4M1H/GTp0aO/evd94443z588/99xz9TV74oknBg8e7PEowTm3AAAAAAAAAIA6saIMAAAA0CwMBsPjjz/uZmOj0bhixYqkpCQXvS1YsGDMmDFeyi5QjBw5csGCBfWtFhMWFrZw4cKJEyc2ZYignVsAAAAAAAAAwM1YUQYAAABoLvfdd997771XXV3tTuOoqKg333zz7Nmzu3fvPn78eH5+vhAiPj6+T58+w4YNS0lJCQkJaeZ8/eOOO+5Ys2bNd999t3fv3tOnT9+4cSMyMjIlJeXOO+8cOnSoVqtt+hBBO7cAAKBFi/zxiLA+9Rb7umBIjJS62YQQt0V20EZ54WrKY8qWl3q9XqPhG5sBzVYRGXtH7RtvkWVDWGhju/pwq2Sz/yuOConpHunJz/DNjDqNUdfWK10FiMTx+nYDK/ydhTdZrVaHw6HVamu9vdJHhfsrJQAAgPpIsiz7OwcAAAAAaLVmzJhx6NChWbNmTZ8+3d+5BK7Kykqz2RwaGhoREeHvXOAjJpNJrSPUaDS33HKLf/OBz1it1vLyckmSYmNj/Z0LfKSmpqasrEw9jI6O1un48l6wKCoqEkJERUVRlxw8wsPDq6qqlPiFF15YuHChf/OBz5SXl1ut1rCwsPBwKmOCRUVFhcViUWKdThcdHe3ffOAzZrO5srJSq9XGxMT4Oxf4iMViqaj4T33nLbfcQhl0kHA4HCUlJSIwTrrJZLr77ruFEOvWrevWrVsTe+MnGAAAAAAAAAAAAAAAAEGBb28AAAAArYfZbJ46daoSp6enjx492r/5+EAQPmUAAAC0YtYyk8NSo8RajSxpPfmyq6QRUqS+iZnYZGGxSzffLjuEzV5vVnKtpgAAAEDgoVAGAAAACCCHDx92Xpz82WefHT58eKN6sNvtSuBwBMun0kH4lAEAANBafZv21vn3dynx0McHyblnPOgkpGf7NotTmphJQVX8ylPVN98eF9pm25dt6nuUxfafa3KpuriJOQAAAADNga2XAAAAgACyceNGu5N169b5OyMAAAAAAAAAAFoPCmUAAACAQFFWVnbs2DHnW86fP19UVOSvfAAAAAAAAAAAaGUolAEAAAACxddff33zjbt27fJ9JgAAAAAAAAAAtEo6fycAAAAAQAghZFlWN1rq3bu3wWA4cuSIEOLjjz/++c9/rtFQ4143g8GwefNmf2cBAAAABCPztYun3nqq55OL2nTt5+9cAAAAAHfxaTsAAAAQEH744YeysjIlfuCBByZOnKjEVVVVOTk5/ssLAAAAAOohy7LdJmTZ33kAAAAAjcCKMgAAAEBA+PTTT9X49ttv12g0Go3G4XAIITZt2tSrVy//pQYAAAAAAAAAQCtBoQwAAADgf1ardefOnUo8evRovV4vhBgzZszWrVuFEHv37q2qqjIajd4d1G63HzhwYP/+/UePHr1x40ZMTExSUtKIESOGDBmiJOBZnydOnDhy5MjJkyfz8vJsNltsbGxycvLtt98+ePBgD7q12+3Hjh3bu3fvyZMnr127ZrPZ+vTp89prr3mQmyzLeXl533///cmTJ8+dO1dSUqLT6Tp16tSzZ8+BAwf279/f42cNAAAAAAAAAGgpKJQBAAAA/O/AgQNqPG7cOCW47777lEIZIcS+fftGjx7txRGPHTv2hz/8wWQyqbdcv379+vXre/fuDQ0Nff7551NSUs6ePTt37lzl3uXLl3fo0MFFh7Isb9u2LSsry2KxON9eUFBQUFCwfft2rVb71FNP3XfffZIk1dlDYWHhzJkzlfiVV15JTk7Oycl55ZVXysvLnZvV1NQ4H5rN5qlTpypxenp6nbNkMpl27NixYcOGWl1ZrdacnJycnJzPPvtMkqRZs2alpqbWlx4AAAAAAAAAoBXQ+DsBAAAAAGL9+vVKYDQae/bsqcRdu3aNjIxU4nXr1nlxuC1btsybN8+5SsaZxWKZP3/+7t27hRD2f5Nl2UWHVVVVzz777IoVK2pVyTiz2+0rVqxYuHCh3W6vs4Esy+pwQoiDBw/+7ne/q1XaUl/PCmWnqpvNnTs3KyvLdVeyLC9btuzll1+urxMAAAAAAAAAQCvAijIAAACAnxUVFZ0/f16JJ06cqK5oIknS5MmT//GPfwghCgoKrly54npNFzcdOnRo1apV6uHYsWMnTpzYrl07jUZjsVjOnTv3t7/9LTc39//+7/8eeOABdzq0WCxz5swpLCxUDtu2bTtt2rT+/ftHRkZKkmSxWHJyclatWnXx4kUhxMGDBxctWqQuVOMiyY8//lgI0aNHj1/+8pc9evQICwuTZfnatWt79+717IknJiZOmDChd+/esbGxYWFhQgi73V5aWrp///533nnHbDYLIQ4fPrxmzZpHH33UsyEAAAAAAAAAAAGOFWUAAAAAP9u1a5ca//jHP3a+6+6771bj7du3N32smpqaP/3pT+rhwoULn3766YSEBK1WK0mSwWDo27fvokWLxo8fL4TYuHGjO30uXrxYrZIZN27cypUr77rrrujoaI1Go/TZv3//t956KzU1VWnzzTffHDt2zHWfH330kSzLkyZNWrRoUf/+/Y1GoyRJGo2mffv2bpbvOBs4cODy5cuXLFmSmprauXNnpTdJknQ6Xdu2be+///7Vq1f37t1babx+/frS0tLGDgEAAAAAAAAAaBFYUQYAAADwJ4fD8dFHHylxQkJC+/btne+NjY3t1q2bst7Mp59++uijj2q12qYMt337dmXpFCFEWlragAEDbm4jSdKTTz75ww8/nDhxosEOc3Nz9+zZo8RDhgyZMWOGuiKOM41Gk5aWlpOTc+HCBSHEX/7yl7fffrvOlqoBAwY8/vjjrtu4afr06a4bhIaGzp8/f9q0acrWUdu2bZs6dao7PVdVVR0+fNh1m5qaGiGE3W63Wq3u5RuMlB2vHA4HsxQ8nHdhk2WZUx88bDabEnDSg0etXRdramrY6DDY1NTUuN7HE86cXyAez5t3JryeTtzvnP/ig4ryo8sbn6BS6/cVpz54KJf0nPSgor6PU9TU1HjlIzsEPvXCLxBOuvo7xyvXuhTKAAAAAP505syZ6upqJZ4yZcrNDR544IE333xTCGG1Wo8fP15naYv71q9frwRt2rT5yU9+Ul8zSZJmzJgxe/bsBjt8//331XjOnDku3i9JkpSenp6RkSGEuH79+qVLlzp37uyi55kzZ/ry3ZfRaJw8efLatWtFYwplrl69+swzz7hu0717dyGExWIpLy9vep6tW01NjVJXhGAjyzIvkGDDSQ9mJpPJ3ynA16qqqvydQkvifDlkt9s9K5OXhRf+eFCryk3lfq2b3W7nt32wsVqt/OE8OPF6D0IOh4OTHrQqKir8nQJ8LRBOuvq2wiuFMmy9BAAAAPjT5s2b1Xjo0KE3Nxg8eLAaq2vPeKaoqEjdVOhnP/uZ68VpunbtGhsb67rD6urqgwcPKvHdd98dERHhun2PHj3CwsKU+Ntvv3XRMj4+vmPHjq5787qUlBQlKC0tVdfdAQAAAAAAAAC0JhTKAAAAAH5TVVW1d+9eJU5JSWnTps3NbQwGw4gRI5T4yJEjTSneV7Y9UodrsP2oUaPc77DBxkIISZKSk5OV+PTp000ZujlERUWpcVlZme8TAAAAAAAAAAA0N7ZeAgAAAPxm3759ajxx4sT6mo0fP16tp9mzZ8+4ceM8G+7y5ctq3LZt2wbbd+vWzXWDS5cuqXGXLl3cyaFz58779+8XQpw5c8Z1M3d6axRZlvPz848fP37ixInLly9fvXrVYrE4N3BeQ768vLxdu3ZezwEAAAAAAAAA4F8UygAAAAB+8+GHHyqBRqPp379/fc169eql1+uVjd43bNgwduxYSZI8GK6wsFCNjUZjg+0b3HopPz9fjWfPnq3RaMS/94iVZVkNhBAOh0MJ7Ha70r6iokKW5fqeSExMTIPpNcqBAwcyMzOvXbvmZntlthvUqVOnjRs3um6zcOFCIYTBYPD6k2pNqqqqLBaLXq8PDw/3dy7wkerqanWPM41G47ykE1q3mpqayspKSZKio6P9nQt8xGazOS+JFxkZ6Xr/R7Qmyr6fEREROh0fRLtLr9ersccvFo3khbXktVqtEDV1dK5xNyutVss1cPCorKysqakxGAzqfrto9Uwmk/reWavVRkZG+jcf+IzFYqmqquKkBxWr1WoymdTDqKgo5WNAtHoOh0NZeDsQTrp6nezZZ+O18P4EAAAA8I/Lly9fuXJFiceMGePijwdarXb8+PEfffSREKKoqCgvLy8xMdGDEZ2LP9x5YxMaGuq6QXV1tRqrf/D2Cu/+KWXlypWffvqpFztU6fX6Bs+F8ucNjUbDHwVdUN7fSpLELAWPWh9qcOqDh1oxyUkPHs5rtgn+TwxKnPRGcf4vUpIk2a+pNObmOltydRdEuKQPQrV+X3Hqg4f6mRInPXjU+iBRq9X6vWYCvqH+qg+Ek67+zqFQBgAAAGjBduzYocZbt2794osvXDR2/gvT559//vTTT3swYkhIiHOHDX6c0eCqKi3im8G7d+9Wq2Q0Gs348eOHDRuWkJAQHh6u0+kkSVLfWRUUFMycOdN/mQIAAAAAAAAAml0L+FwbAAAAaH3sdvvmzZtr3eLmY7dv3/6rX/3KuerFTe3atVPj6urqBnsoLi52v8O1a9cG4KY5drs9MzNTiSMjI5csWeJi7Xf3TwEAAAAAAAAAoIViTSQAAADAD44dO2az2Tx7rMPhOHLkiAcP7Nixoxpfv369wfYXLlxw3eDWW29tVIe+V1BQoO6gPHv2bBdVMkKIwsJCnyQFAAAAAAAAAPAbVpQBAAAA/GDjxo1q/MEHHxiNxgYfYrfbp0yZoqx6smHDhiFDhjR20MTERDU+evRo9+7dXbf/+uuvXTfo2rWrGh86dMj5MEBcunRJjXv16uW68aFDh5o5HQAAAAAAAACAn7GiDAAAAOBr5eXl2dnZSjxo0CB3qmSEEFqtNjU1VYlPnz5dWlra2HHbtm0bERGhxB9//LHD4XDROD8/v8FFYqKionr37q3E69at83iNnOZjsVjUWKvVum65ffv25s8IAAAAAAAAAOBPFMoAAAAAvrZnzx41HjdunPsP/MlPfqLGX375ZWPHlSTp5z//uRKXl5d/9dVX9bWUZXnlypXu9PnYY48pQXV19apVqxqbUnOLi4tT47y8PBcts7KyArDQBwAAAAAAAADgXRTKAAAAAD4ly/K6devUw/79+7v/2O7du4eGhirxxo0bZVlu7Ojjxo3T6/VK/Oc///nUqVN1Zvjuu++qa9641rdv35EjRyrx1q1bs7KylM2hXCgqKlq9erXJZGpM4h5y3m1q6dKldZbCyLL84Ycfbt261Qf5AAAAAK2JoV3XO/64q82tyf5OBAAAAGgECmUAAAAAn7p48aK6a9KIESPUshV3aDSaMWPGKHFFRUVubm5jR9fr9RkZGerh73//+6ysrGvXrinbMFmt1pycnOeff37jxo1CiIkTJ7rT55w5czp06KDEn3zyyaOPPvrZZ59dvXrVarUqNzocDpPJdPHixW3btj3zzDPTp09fv369642fvCUiImLEiBFKnJ+fn5aWlp2dbTablVuqqqqys7MzMjLWrFkjhJgyZYoPUgIAAAAAAAAA+JHO3wkAAAAAweWzzz5T4/vuu6+xDx89evTmzZuVeMuWLb/97W8b28OwYcMee+yxd999Vzn85JNPPvnkk5ubpaenJyYmbtq0STmUJKm+DkNDQ996662FCxceO3ZMCFFZWZmZmdnYrJpPenp6dnZ2ZWWlEOLKlSsvvvhinc3S0tIGDBiwYcMG32YHAAAAAAAAAPApVpQBAAAAfMdqtX7xxRdKLElSnz59GtvDrbfeGhYWpsS7d+9WF0dplClTpsyfP99gMNR5r1arff755++9917nRV90OldF9gaD4dVXX33hhReioqJcDy1JUmpq6pIlSyIiIjzI3ANGo3HFihVJSUn1NTAYDAsWLFCX6gEAAAAAAAAAtGKsKAMAAAD4zuHDh2VZVuIf/ehHISEhje1BkqRx48YpWyMJIQ4cODBq1CgPMhk4cOD777+/b9++/fv3Z2dn37hxIzo6umfPniNGjBg2bJhSQ1NWVqa2Dw8PbzCxIUOGvPvuu3l5eQcOHDh79mxOTs6NGzeEEPHx8Z07d+7evXv//v2TkpI8eNZNFBUV9eabb549e3b37t3Hjx/Pz89XsurTp8+wYcNSUlJ8nxIAAABQJ12YPiTCqMSaEL1sDPOgE41BL0lNvcTVSlqDto5OdJLOqNfW9yjJxREAAAAQGCiUAQAAAHxn6NCh6sZJHps2bdq0adPqvMtgMLjfv06nGzly5MiRI+trcOnSJTVWl7FxTZKkxMTExMREN3Nw1r59ew8mx82nLElSUlKSi3VlPE4AAAAA8KIRq343YtXv/J2FEEK0DxNvDa/7rpcH1/uo8Bc0VdZ/xbIxzvtpAQAAAE3G1ksAAAAA6rZnzx4l6Nq1qyTxZVAAAAAAAAAAQIvHijIAAADBqKqq6uTJk8ePHz9z5kxhYeGNGzdCQkJiY2N79uzZrVu3fv363XrrrRoNRdWtgdlsnjp1qhKnp6ePHj3azQcWFRWdP39eie+9995mSc7bzp49O3fuXCVevnx5hw4d/JsPAAAAAAAAACDQUCgDAAAQXPLz89955539+/fXut1ms126dOnSpUtffvmlECI0NPShhx4aP368wWDwR5rBYurUqWazWYk3btzYTMVJdrtdCRwOh5sPkWV5+fLl6uHgwfUvrR5g1Ccry7J/MwEAAECrsXPiCw6rTYnjesbFhZq80u2V4cnf9YzxSlcqvaQ/fiLcu302itX+n+vwy9V5e678UwjRwWi4xXDDuVn0kVzJYWvSSCHh0uAZTeoBAAAAwYpCGQAAgGBRU1OzYsWKnTt3utPYYrG8++67a9as+dWvfjVu3Di23WkmdrtdLezwGVmWs7KyHnzwwYiIiPqyevvttw8ePKgcDhs2rH379j5MEAAAAAgsBTsO2c1WJdZbkgz2K17ptvi2difizF7pShUVYvz2B4t3+2wUh1PBepXdVFh9RQgRHRpjsec7N5OvnxQ2a5NGMkTxNhUAAACeoVAGAAAgKFRUVDz77LMFBQXqLe3bt3/44YeTkpLi4uJCQ0OFEDabraysLDc394svvlCKJOx2e2ZmZteuXfv27eu31NEMNm3atGnTpnvuueeee+5JTExs06aNJEl2u728vPzo0aNr1qy5du2a0lKr1c6cOdO/2QIAAAAAAAAA4C0UygAAALR+1dXVs2fPLi4uVg6NRuMLL7zQt2/fWuvEhISExMXFxcXFDR06tLS09O23396zZ48/8oWP7Nq1a9euXS4a6HS6N954IybGy6vBAwAAAAAAAADgLxp/JwAAAIDmJcvyq6++qlbJdOvWLSsrq1+/fq53U4qJiXn22WdffvllvV7vkzQRcFJSUt55550ePXr4OxEAAAAAAAAAALyGFWUAAABaua+//vrYsWNKHBkZ+cc//tFgMLj52JSUlFWrVpWVlTVbdvADSZI+/PDDH3744dSpU7m5uZcuXSopKamoqNDpdHFxcb169erVq9ewYcNYSAYAAACAC+ZrF0+99VTPJxe16drP37kAAAAAjUChDAAAQGtms9mWLVumHs6dO9f9KhlFTEwMBROtT1hYWJ8+ffr06ePvRAAAAAC0WLIs221Clv2dBwAAANA4FMoAAAC0Zt99953ZbFbirl27JicnN8co169f37t376lTp06fPm0ymQwGQ1JSUp8+fYYPH56QkNDY3hwOx5kzZ44ePXr69Olz586ZzeaIiIgePXrcfvvtd955Z1xcnM9Sunbt2qFDh44ePXrx4sWioiKNRtO2bdtu3br169cvJSUlPj6+sU+tKXyTjCzLeXl533///cmTJ8+dO1dSUqLT6Tp16tSzZ8+BAwf279/fs624ZFk+fvz4119//f333xcXF4eFhd12222DBw8eNWqU0Wh0vx+73X7o0KF9+/ZlZ2eXlpZGR0ffdtttw4cPv/POOxubWECdXAAAAAAAAACAz1AoAwAA0Jpt2rRJjR9++GFJkrzbf1lZ2RtvvKFu7aSwWq0HDx48ePDgu+++261bt+eff97NsgNZlnfu3Pn2229XV1c7315cXFxcXPzdd9/9f/buPS6qOn/8+OfMDLdBboKXUEHxEmhI5KW8dSHTUlsLNXM3tazUNGtbN3f92ZraurWV3y2vqWXbFlqiWWahZuV6WRNRI/CGZAKBCijCcJkZmDm/P853T/PlMtyGGWRezz98vM85n/mc95zPGZxh3nw+69evHzhw4MyZMzt37tyiKRkMhn/84x8pKSnV9ufk5OTk5Pz73/8WQkRFRT311FO9e/duyFNrDuckU1ZW9vXXX2/btq2kpMR2v9lszsjIyMjI+PLLLyVJmjNnzqhRo+zcSFeuXJk9e7YSL1u2LDo6+vLly4sXL758+bJtn8nJycnJyWvXrp0/f/6dd97ZkAzPnTu3bNkyg8Gg7iksLCwsLDx8+LCXl9fChQtvu+22hvTTqgYXAAAAAAAAAOBkGlcnAAAAgJZiNpvPnj2rbjp8Opm0tLTHH3+8WklKNRcuXHjqqacOHz5cb29lZWXz589ftWpVtSqZalJSUmbOnNmiKRUXFz/99NM1CymqOXPmzPz58+1n23xOS2bBggWbNm2qViVTjSzLa9asWbp0qdVqtdPG8l9CiMzMzFmzZtlWyVRr/OabbyYlJdWb3r59+1588UXbKhlbJpNpyZIlSo2Lfa1qcAEAAAAAAAAAzseMMgAAAG1WXl6eGgcFBfn5+Tmw84sXLy5atEjdjImJmTZtWnh4uIeHR1VVVW5ubkJCwtGjR5Wjf//731955ZWYmJi6equoqJg3b15hYaGy6e3t/cgjjwwfPjw4OFin08mybDAYsrOzv/766/3797d0SkuXLi0vL1fiIUOGxMfHd+nSRa/XS5JktVpLS0uVeUf27NnTwGvVHE5OJjw8/MEHH4yKigoODvbx8RFCWCyWoqKi5OTkDz74QFnG68SJEwkJCVOnTq23t/T09MTERFmWIyMjp02bFhER4ePjI8tyYWFhYmKimvO6deuGDBkSGBhop5+VK1eqm/fee+/EiRM7d+6s0WiMRmNmZuaGDRuysrJWrFgxYcIE+ym1qsEFAAAAAAAAADgfhTIAAABt1i+//KLGPXv2dGDPFotl6dKl6uYTTzzx8MMPq5seHh7du3dftGjR3r17V69erexcvnz5Rx995OnpWWuHK1asUKtkYmJiFi5cqNfr1aOSJAUEBERHR0dHRz/55JObN29uuZRyc3MzMzOV+Le//e2jjz5qe1Sr1QYEBAQEBNxyyy0zZszYuXNnXZfIIZyZzIABAxYuXNi1a9dq+3U6XYcOHcaOHTty5MjFixefOXNGCJGYmDhu3LigoCD7fW7ZskUIMW3atAkTJqirNUmS1LFjx7lz54aFhW3cuFHZuX379ieffLLWTiwWy/Lly9XNl156afDgweqmj49PdHT022+/vXLlym+//Xb79u128mlVgwsAAAAAAAAAcAmWXgIAAGizCgoK1DgsLMyBPX/77bdXr15V4tGjR9uWpNgaNUNptxQAACAASURBVGrUpEmTlNhoNNZVxJCenp6cnKzEvXr1WrJkiW2VTDUBAQHPPPNMy6V0/vx5NbY/PYmPj8/kyZOVaVdaiDOTmTFjRs0qGVteXl4vv/yyl5eXsrl79+6GdBsXFzdx4kS1SsbWuHHjOnTooMR79uyRZbnWHvbt21dWVqYmaVslo9JoNM8//3xERIT9ZFrV4AIAAAAAAAAAXIIZZQAAANqs4uJiNQ4ODnZgzx9//LEaP/HEE3ZaTp48eceOHVVVVUKI7du3T548WaOpXqudkJCgxgsWLNBqtS5MSa228fb29vDwaEImDtSqkhFC6PX6+Ph4ZZ6Y3bt3T5kypd6H1DVPjBBCkqT4+Pj169cLIYxG47Vr12q9S9WR9fHxefDBB+30Nnfu3Pnz59tJpiWuZ1ZWlv37TQjRsWNHIUR5ebmaAGpSKqVMJpPZbHZ1LnAS2/I4q9XKC8TdyLLMoLst2/eocBMlJSWuTqG5bP/bqqqyiFrqwJtC+VTiWFar1eF9Nl9VZaXw/j97ZCE38ypardYi/itpTZSXSUVFhbJoL9xNVVUV7+7ch/J6t1gsDLrbKioqcnUKcLbWMOjl5eVK4JB3vBTKAAAAtFmVlZVqrNM57I1fYWGhOldNXFycndlfhBCenp6/+c1vPv30UyGE2Wy+ePFitWk/DAbDqVOnlDg2NrZz586uTcnPz08JjEZjWVmZr69vE/JxlFaVjCI2NlYplCkqKjIajd7e3vYbq0+hVlFRUWpca6HM1atX1d+5PPTQQ/aLqHr16uXv72/na5iWuJ4Wi6XeL37UiXPqmjUHtrhKbouhd0MMutti6N0Qg44Wwq3VOjEubouhd0MMutti6N1Qaxh0x+bA0ksAAABtlu2cGQ78U8Xs7Gw1Hj58eL3t77jjDjXOzMysdvTixYtqfN9997k8pd69e6vxa6+9plapu0SrSkYREBCgxvX+OfigQYMa3tv169drNrC9PQYOHGi/N0mS7r77bjsNWuH1BAAAAAAAAAA4GTPKAAAAtFn+/v5q7MCpEXNzc9U4NDS03va2k8RkZWVVO2pb49K9e3eXp9S9e/cuXbooHaampj766KPDhw9/4IEHevbsaX+impbg/GRkWc7JyUlPTz916lRubu7ly5dNJpNtA9tpLUtKSjp16mSnt3rnB/L09FTjWhfcycvLU2NlASP7evbsaedoqxpcAAAAAAAAAIBLUCgDAADQZqkLvoj/W4/STJcuXVJj21qcutgucGNb0aKwrYSwnV/EVSlJkrR06dJ58+ZVVFQoew4dOnTo0CEhRHBw8ODBgwcNGhQVFeWcVZCcnMyxY8fWr1+fn5/fwPa1lrbY8vLyamZKtiPbkFqWkJAQO0db4noGBgbOmDHDfpujR48KITw8PCjHscNsNldVVel0OtvyKbRtyqArsSRJPj4+rs0HTmOxWEwmE4PuVqxWq9FoVDe9vb01Gma5dhfKHH5tYNAlSfo11kjCQZO+t8RlsU219dDUWERVEs3NU5Ik3mC3KiaTyWKxeHh42M5ui7bN9i29RqOxvzoz2pKqqiqz2cyguxXlc5y66ePj0zrfcsDhZFlWfpXa9gadQhkAAIA2q0uXLmr8008/OarbyspKNdbp6n8/afvL32rTk4j/W2zR5N+mOTaljh07vv/++5s2bdq7d6/t/qtXryYlJSUlJQkhBg4c+Pjjj4eFhTUt4YZzWjIbNmzYtWtXs3JtAba3R0O+Rai3NMfh17N9+/Zz5syx3yY1NVVQKFMfq9VaVVWl1Wq5Su5DlmXbQhmG3n2YzWblP18G3X1UVlZWK5RpyBs2tA1KoYyXl1db+uJcq9EIi2O6cqNCmZZ5pvxX0qpUVVVZLBadTse4uA+LxWJbKMPQuw+j0Wg2m/k57FZMJlO1QpkbvQwaDWS1WtVCGZcPuiz/b7m6QzLhQykAAECbZbsI0dWrVw0Gg5+fX/O7tf0dt8VS/2+IbRfrqVnHYDt7RGVlZdP+EsWxKQkh9Hr9s88+O2PGjB9++OHw4cPJycnV6mlSUlJSUlLi4+OnT5/e0r+JdkIy+/fvV6tkNBrNuHHjhgwZEhoa6uvrq9PpJElSu83Ly5s9e3Yzn1HD2d4eVqtVW+PvUKupWfZUU6saXAAAAAAAAACAk1EoAwAA0GZ5e3v36tUrMzNT2Tx16tQdd9zR/G47deqkxgaDod51asrKytTYtnan5p6SkpKmlfI4NiWVXq8fOnTo0KFDZVm+fv36hQsXDh48+O9//1utxfn000/DwsLi4uKakHNjtVwyFotl/fr1Suzv779q1aqgoCA7jZuWf9PYjmx5eXm9i3NdvXq1gT23qsEFAAAAAAAAADgNcyIBAAC0ZQ8//LAaf/zxx+rkhM3RtWtXNc7Ly6u3/ZUrV9Q4PDy82lHbBW6ysrJaQ0o1SZIUFBQ0YMCA3//+94mJiTNmzFAPbdiwwXZ+GidweDJ5eXlq5dBzzz1np0pG/N9L5wS2y4fl5+fX2/7ChQuNPUWrGlwAAAAAAAAAQEujUAYAAKAtu+OOO9SlhS5cuHD69Onm92lb2nLkyJF62ycnJ6txz549qx3t3r27Gu/bt681pGSfTqd76KGHRo0apWyWl5dfu3atUT04kEOS+eWXX9Q4MjLSfuPjx483tv/msL09Tpw4UW/77777rjmna1WDCwAAAAAAAABoCRTKAAAAtGUeHh6zZs1SN19//XWTydSoHoqLi7Ozs233dOjQISQkRIn37t1rNBrtPLyysnLnzp1K7OnpGRERUa2Bn5+fWpyRkpLStAlLHJtSQwwdOlSNDQZDE3pwoGYmY3tLaLVa+y337NnT2P6bIyQkRJ3hZseOHfYXfsrMzCwuLm7+SVvV4AIAAAAAAAAAHItCGQAAgDbu3nvvVStRioqKFi1aZL+OxFZaWtrTTz9ds1Zg8uTJSiDL8ubNm+30sGPHDrUOY/z48RpNLe8/p06dqsYrVqxo2mI3jk2pXrYTjbRr164JPThQM5NRa4yEENWKoqrZtGlTVVVVY/tvJnVky8vLd+/eXVczWZbXrl3rkDO2qsEFAAAAAAAAADgWhTIAAABtnCRJS5YsCQgIUDYzMjKefPLJjIwM+48yGAwrV66sq6pm5MiR6jwfn332WV2zjBw4cOCjjz5SYi8vr0mTJtXaLDo6euDAgUp89uzZv/71r3ZKecrKyt57772WS2nr1q1paWn2Zy6pqKj48MMPldjb29u20MSxnJNMeHi4Gq9evbrWUhhZlj/55JOkpKTGdt58o0aN0uv1Srx+/fqTJ0/WbKNUyWRmZtrvqlUNLgAAAAAAAADAJSiUAQAAaPv0ev3q1as7deqkbBoMhj/+8Y9z5849ePDg5cuXKysrlf0Wi6W4uPjkyZNvvPHG7373u3379tXVoVar/ctf/qJurlmzZvny5VlZWUqNhcVi+eWXX1asWPHmm2+qbf785z97e3vX1eEf//hHtcwlJSXliSee+OKLLwoLC5WaBlmWy8rKzp07t2bNmilTpnz++ectl9JPP/20aNGiyZMnb9iwITU19dq1a7bXp6ioaP/+/TNnziwqKlJ2zp49W5Kkup5XMzknGT8/v2HDhilxTk7O3LlzU1NT1Vql8vLy1NTU+fPnJyQkCCEmTpzogCfWGDqdbuHChermyy+/vG7dusuXLyszD5nN5jNnzsyfP18pjRo/frydrlrV4AIAAAA3Ou9O3W977Zt2PaJdnQgAAADQODpXJwAAAABnCAgIWLNmzZo1a7777jtlT05OzhtvvGH/URqN5oknnoiKiqp5qFevXkuXLl26dKlSr3D06NGjR4/W1c8f/vCHAQMG2DmRUsrz5z//OScnRwhRVla2cePGjRs31vu8Wigls9m8a9euXbt22T/j6NGj77nnnkYl2QROSGbevHmpqamlpaVCiEuXLtmWHNmaO3duTEzMtm3bmnaWJouJiXnmmWfWrVunbCYlJdU6t828efO6d+9eax2VrVY1uAAAAAAAAAAAJ2NGGQAAAHfh6en5wgsvrFy5MjY2tt7GOp3uscce+/jjj8ePH6/R1P6mMTY29v3334+MjLTTT1hY2IYNG+6+++56z+jn57dq1aoZM2bodPaKuWNiYtauXVvXUcemZIefn9+LL744Z86c1jDjSPOT0ev169at69OnT10NvL29lyxZMnr06Kbm2FwPPPDAq6++6uvrW+tRnU63aNGi++67zyHnalWDCwAAAAAAAABwLGaUAQAAcC/du3dfunSpwWA4c+ZMWlrauXPnrly5cv36dQ8Pj+Dg4N69e0dERERHR0dERGi12np7CwoKev311/Pz8w8dOnT69OkzZ86Ulpbq9fqbb765b9++Q4cO7dq1a8Nz02g0Dz300IMPPpiamvrDDz+cPn06KyvLbDa3b9++Z8+eMTExt99+e8eOHVs0pQULFhQUFGRnZ1+8ePHnn3++dOlSQUFBRUWF1WoNCAgICwvr27dvbGxsnz596qofciBnJhMQEPDGG2+cP39+//796enpytQ+HTt27Nu375AhQ2JjYz08PBzxnJquX79+H3300bFjx77//vuTJ09ev349MDCwd+/ew4cPv+OOO+ws7KVqVYMLAAAAAAAAAHAJSZZlV+cAAAAAAG3WrFmzjh8/PmfOnBkzZrg6l9artLTUaDR6eXn5+fm5Ohc4SVlZWUVFhRJrNJr27du7Nh84jdlsLikpkSQpODjY1bnASSorK4uLi9XNwMBA+zMIoi0pLCwUQgQEBLi86rqZsnf+R1j/9xfpnj4evnrH/FK9NMTvSkd/h3Slkq1S8XVPx/bZKA/EdDdWlCvx7//8/IsvzRdCeOuEXmexbeaVf10Ia7POpPGQOkU3qwc4VElJidls9vHxqWsqULQ9BoPBZDIpsU6nCwwMdG0+cBqj0VhaWqrVaoOCglydC5zEZDIZDAZ1s3379vyZmZuwWq3Xrl0TrWPQy8rK7rrrLiHE1q1bIyIimtkbH0oBAAAAAAAAAKhT2G+GtkS3fkLc1BL9dmiJThtKY7N+aTudX6hvt9rbtcgzBwAAABqEUi8AAAAAAAAAAAAAAAC4BWaUAQAAAFoLo9F4/vz59PT0c+fOXbp0qaioyGq1+vr6hoWF9ejRo0ePHlFRUZ06dZIkqf6+HJ3YlClTlHjevHlxcXFOTgAAAABojtLvj1tKy1xyan0Hja59434PL3l5CV9vo5eHusLT6eseFqtj1nuyr+iat2xt1scNi/xrnrk5xUcO/NzAB3q30wT3qf85SjnllScv1Xqo89236kNZ1w8AAAD1o1AGAAAAcL1Lly4lJCQcOHCg5iGz2VxUVJSamqps+vn5PfLII6NHj/b29nZmhhaLRQmsVqszzwsAAAA0X/6GD40/XXTJqXtMitB2ud64x3ToLbp5XO8QJIsqZcfmzODSSrPjk6vh3MmbDBXNqsiptPz68JNHc9+5fqiBD4yIDOo3s7jeZu0vSlmPvVfroVFfvUahDAAAABqCQhkAAADAlSorK999992kpKQGtjcYDO+9996mTZseeeSRSZMmeXp6tmh6AAAAAAAAAAC0JRTKAAAAAC5jMBgWLFiQm5ur7rnpppseeuihqKiokJAQvV4vSZIsy0ajsaCgID09/auvvsrJyRFCyLL8ySefeHl5TZw40XXpAwAAAAAAAABwg6FQBgAAAHCN8vLyZ599tqioSNkMCgr605/+1Ldv32rNJEnS6/Xh4eHh4eFjx47Nycl555130tLSnJ4vAAAAAAAAAAA3PAplAAAAABeQZXnJkiVqlUyfPn2WL1/u5eVV7wO7deu2fPnyY8eOvfnmmy2c46+8vb137tzptNMBAAAAaOWM+Vln3p7Z++kV7brf4upcAAAAgMbRuDoBAAAAwB198803Z8+eVeKQkJC//e1vDamSUQ0aNOj9998PCwtrmewAAAAAwC5Zli1VQpZdnQcAAADQaBTKAAAAAM5WWVn5zjvvqJsLFy709PRsbCd6vX7w4MEOzQsAAAAAAAAAgDaOpZcAAAAAZzty5IjZbFbiyMjI3r17uzafFiLLcnp6+oEDB3788cerV6/6+PjcfPPNgwYNGjFihF6vb1RXFovl1KlTJ0+ePH36dHZ2dlVVVXBwcHR09K233jpo0KAGlhnJspydnf3jjz+ePn36p59+unbtmk6n69q1a+/evQcMGNC/f/8mlCsBAAAAAAAAAG4sFMoAAAAAzvbZZ5+p8cSJEx3e/8GDB//nf/5HiRMSEuxXpaSlpS1evFiJN2zY0KFDh5ptjEbjlClTlHjevHlxcXHVGly5cmX27NlKvGzZsujo6MuXLy9evPjy5ctqG7PZnJycnJycvHbt2vnz5995550NeS6yLO/evXvTpk0mk8l2f15eXl5e3p49e7Ra7cyZM++//35JkurqpKys7Ouvv962bVtJSYntfrPZnJGRkZGR8eWXX0qSNGfOnFGjRtnpBwAAAAAAAABwo6NQBgAAAHAqk8mUmZmpbvbr18/hp5Bl2WKxNLy92liW5XrbWK3Wes+YmZk5f/78unqTZfnNN98sKyt74IEH7CdWXl6+ePHijIwM+8mvW7fu2LFjixYt0mq1tbZZsGBBTk6O/XPJsrxmzZojR44sXrxYo2GNWgAAAAAAAABomyiUAQAAAJwqNzdXjYODg319fV2YTEtIT09PTEyUZTkyMnLatGkRERE+Pj6yLBcWFiYmJu7Zs0dptm7duiFDhgQGBtbVj8lkev75569cuaJsdujQYfr06f379/f395ckyWQyZWRkbNy4MSsrSwiRkpKyYsWKBQsW2EksPDz8wQcfjIqKCg4O9vHxEUJYLJaioqLk5OQPPvjAaDQKIU6cOJGQkDB16lRHXQ0AAAAAAAAAQKvCH0oCAAAATpWXl6fGPXv2dGEmLWTLli1VVVXTpk37+9//fsstt+j1ekmSNBpNx44d586d+/TTT6stt2/fbqeflStXqlUyY8aM2bBhw5133hkYGKjRaCRJ8vb27t+//9tvvz1q1CilzaFDh9LS0mrtasCAAWvXrl21atWoUaO6deumpCRJkk6n69Chw9ixYz/88MOoqCilcWJiYlFRkQMuBAAAAAAAAACg9WFGGQAAAMCpCgoK1DgsLMyFmbScuLi4iRMn1npo3Lhxn332mXIR9uzZM2PGDEmSajbLzMw8ePCgEg8ePHjWrFm1NtNoNHPnzs3IyLh48aIQ4q233nr33XdrtpwxY4b9hL28vF5++eXp06ebTCYhxO7du6dMmWL/IYqrV69+8MEH9tuUl5cLIcxmc1lZWUP6dE9VVVXKv1wl91FZWanGsiwz9O5DXaqPQXcf1dZtrKioYJVDd2M0Gs1ms2tzqHX9UOdo1KKoCqvVohEeQvy6kmndS6Q6mNNOVFMDx8hiqbOZ0WjkPxcXUm71yspKRsF9KJ/jFFarlaF3H8rQ8znOrVR7P1NeXl7rb+rQ9sj/fXfYGgZd+S2rcNB7ewplAAAAAKcqLi5W46CgIBdm0nKefPLJug5JkhQfH79+/XohhNFovHbtWnBwcM1mmzdvVuPnn3/ezscwSZLmzZs3f/58IURBQcEvv/zSrVu3JuSs1+vj4+O3bNkiGlMoU1xcbJtqrZR5g6qqqioqKpqQmFuxWCxcJfckyzJD724YdHemlKXCrbSGQXdhoYzc+FNbrVaNUrPy33fBsnBdAYuzNPBCWa11Fh6ZzWb+c3G5qqoq2+IJuA+r1coL0N0w6O5MWcEcbqU1DLpjf+ZQKAMAAAA4le0kCjpdPW/IS0pKpk+fbqfB8uXL+/bt65jMHCQ2NtbPz89OA3WRIyFErYUyFRUVKSkpSnzXXXfZ700I0atXLx8fH+WT0pEjR5pWKCOEiI2NVQplioqKjEajt7d30/oBAAAAAAAAALRaTHMKAAAAOJWHh4caN+Qv7Sx2yS6cG70OgwYNst8gICBAja9fv16zgbKOkmLEiBH1nlGSpOjoaCU+e/ZsQ5KsNzHbiX8AAAAAAAAAAG0GM8oAAAAATuXv76/GtZaJ3Og6d+5sv4Gnp6cam83mmg1++eUXNQ4LC2vISbt165acnCyEOHfuXF1tZFnOyclJT08/depUbm7u5cuXq60CYDshf0lJSadOneo9r06n69ixo/02Go1GCCFJkhKgVrIsy7IsSZLLVzuG0yiDrm7yAnEf6tAz6G7F9j9Zht6tKEPfGv6Ld2ECkmjCqas/xC3eITXsSdq5nrzldq3W83qH0/CW3m3xlt4N8Xp3Z8p/8a1h0B2bA4UyAAAAgFN16NBBjbOzs+039vf337lzZ7Wdn3322aZNmxyfmYN4eXk1s4ecnBw1fu6555SPQMqncfVjufKv1WpVAovForQ3GAxKvUW1Po8dO7Z+/fr8/PwG5lBrBU9NYWFhX331lf02s2bNEkL4+Pi0b9++gWd3Q6WlpUaj0dPTs96VttBmlJWVqWtLazQaXiDuw2w2l5SUSJLEoLuPyspK26na/P396119Em1GYWGhEMLf3992VkWXuK7VVtbfqkVoPRp9wyuvEUmS1O+jnFZ54MIKB622QRdKV/f19PPz4z8XFyopKTGbzd7e3r6+vq7OBU5iMBjUvz/R6XSBgYGuzQdOYzQaS0tLtVptUFCQq3OBk5hMJoPBoG4GBga2hrIJOIHVar127ZpoHYOu/trZIZnwoRQAAABwqtDQUDW+cOFCE3rQarWOS6c1Ur87F0IYjcbmd7hhw4Zdu3Y1vx8AAAAAAAAAwI2OQhkAAADAqbp06aLGBQUF5eXler3ehfm0Qo79K/P9+/erVTIajWbcuHFDhgwJDQ319fXV6XS2E4Pn5eXNnj3bgacGAAAAAAAAALQ2FMoAAAAATuXt7R0REaHOJXP69OmBAwe23Ols1w+ulbpoUevRqVMnNd6yZUtzJu62WCzr169XYn9//1WrVtmZFrgVXgoAAAAAAAAAgGOxeBgAAADgbOPHj1fjxMREh/dvuzZTvcUfhYWFDk+gmXr06KHGBQUFzekqLy+vrKxMiZ977jn7i2dfuXKlOecCAAAAAAAAALR+FMoAAAAAzjZs2DB1daEzZ85kZGQ4tn9/f381NhgM9hunp6c79uzN1717dzU+fvx4c7r65Zdf1DgyMtJ+42aeCwAAAAAAAADQ+lEoAwAAADibp6fnzJkz1c3XX3/dbDY7sP+QkBA1/vnnn+20NJvN+/fvd+CpHSIgICAqKkqJt27dWlVV1eSuTCaTGttOtFNryz179jT5RAAAAAAAAACAGwKFMgAAAIALjB49ulevXkqcn5//8ssvO7BWpmPHjpIkKfHOnTvttPzkk0+sVqujzutA06ZNU4KKioqNGzc2uR/bmqHs7Gw7LTdt2tScihwAAAAAAAAAwA2BQhkAAADABSRJWrZsmbpG0qlTp2bPnn3+/Pl6H2gymepdLEmr1Q4fPlyJz549e/To0Vqbffvtt4mJiY3J2nn69eunPoWkpKRNmzZZLBb7DyksLPzwww/Lyspsd4aHh6vx6tWray2FkWX5k08+SUpKanbWAAAAgLvw7tT9tte+adcj2tWJAAAAAI1GoQwAAADgGu3atVuzZk3nzp2VzcLCwvnz5z/77LP79u3LycmpqKiQZVk5VFlZWVxcnJaWtmbNmkceeeTIkSP1dj516lQ1Xr58+ZYtW65fv650aDKZzp8/v2TJkrfeekur1U6aNKkFnpwDPP/88zfddJMSf/bZZ1OnTv3yyy8vX76sTr1jtVrLysqysrJ27979+9//fsaMGYmJidUmyPHz8xs2bJgS5+TkzJ07NzU11Wg0KnvKy8tTU1Pnz5+fkJAghJg4caKTnhsAAAAAAAAAwEV0rk4AAAAAcF8BAQGrV69+55139u3bp+zJzs5euXJlQx4bFBQ0c+bMvn371nq0c+fOU6ZM2bJli7K5ZcsWNbb12muvmc3m1jmvjJeX19tvv/3KK6+kpaUJIUpLS9evX9+EfubNm5eamlpaWiqEuHTp0l/+8pdam82dOzcmJmbbtm3NyRkAAAAAAAAA0MoxowwAAADgSp6ens8999yaNWuGDBnSwIf069dv+fLl//znP4cNGyZJUl3NHn300dmzZ9d1NCQkZM2aNTfffHOjM3Yib2/vv/71ry+99FJAQID9lpIkjRo1atWqVX5+ftUO6fX6devW9enTx85ZlixZMnr0aAdkDAAAAAAAAABo3ZhRBgAAAHC9bt26LVy4sKKiIiMj48cff8zIyLh06dLVq1etVquPj09oaGj37t27du3au3fvnj176vX6hvQpSdKYMWNGjBhx4MCBY8eOnTt3rry8PCQkpF+/fnfffXdMTIxWq23p59V8kiQNHjz4X//6V3Z29rFjx86fP5+RkXH9+nUhRMeOHbt169azZ8/+/fv36dPHw8Ojrk4CAgLeeOON8+fP79+/Pz09PScnR3l43759hwwZEhsba+exAAAAaAP0t0V7hHZ2yak1oQFSqKVxj/ELFnq9t9ZXFv+7rmh0+3bGqkZ20iTBEYHmymb1kCZJ6mKonbv4D7gjrIEPDAn17uLrX28zT5/y8IeH13rIu1NQA88FAAAANyfJsuzqHAAAAACgzZo1a9bx48fnzJkzY8YMV+fSepWWlhqNRi8vr5pzAqGtKisrq6ioUGKNRtO+fXvX5gOnMZvNJSUlkiQFBwe7Ohc4SWVlZXFxsboZGBio0/HHe+6isLBQCBEQEEBdsvvw9fUtLy9X4pdeeumVV15xbT5wmpKSErPZ7OPj4+vr6+pc4CQGg8FkMimxTqcLDAx0bT5wGqPRWFpaqtVqg4KoUHQXJpPJYDCom+3bt9doWLjGLVit1mvXronWMehlZWV33XWXEGLr1q0RERHN7I07GAAAAAAAAAAAAAAAAG6Bv94AAABAa2E0GqdMmaLEU0w5yAAAIABJREFU8+bNi4uLc20+aGPqvcG4AwEAAAAAAACgzaNQBgAAwH1NmTLFaDTWekir1fr5+fXo0SMiImLQoEG9evXSarVOSMlisSiB1Wq13xKucuLECdvp01988cWhQ4e6MJ9GqfcG4w4EAABAq1Wedubic4tqPbRvwvQPy/2dnE+tjFW/vpE2itRL5RuEED7mQP/9e5Wd0k23Src/65rkAAAAACEEhTIAAADuzGKxqGUBNQ9dvXr16tWrKSkpW7du9fHxmTVr1j333CNJkpOTRGuzfft229tm69atN1ChDAAAAHBjq6OeW5aFVZadnEvDyEIIIctC/m/mrTRPAAAAuBGNqxMAAADADaCiouKtt9566aWXqqqqXJ0LXKm4uDgtLc12z4ULFwoLCxv48JKSkof/6z//+U8LJAgAAAAAAAAAgD3MKAMAAAAhhNixY4ft4kqyLJtMpuzs7ISEhJMnTyo709LSVq1a9cILL7goR7jegQMHau785ptvJk+e3MAe1NloZP6QFAAAAAAAAADgdMwoAwAAACGEqLamkiRJ3t7effr0Wbp06cyZM9X933333fnz552eHVoFWZa3bt2qxFFRUbGxsUq8Y8cOax0zwAMAAAAAAAAA0KpQKAMAAIB6jBs3buDAgermp59+6sJk4EI///xzcXGxEk+YMGH8+PFKXF5enpGR4bq8AAAAADiVMT/r5KLRpRfTXZ0IAAAA0BQUygAAAKB+U6dOVePDhw+zaI572rVrlxrfeuut/fv312j+9wPF559/7qKkAAAAADidLMuWKsEHQwAAANyYdK5OAAAAADeAsLAw283i4uLAwMBqbWRZzs7O/vHHH0+fPv3TTz9du3ZNp9N17dq1d+/eAwYM6N+/v6enZwulZ7FYTp48eeDAgTNnzly9ejUgIKBv37733XdfTExMtSWlhBDXrl3797//nZycnJWVVVlZ2aNHj0GDBo0aNSogIKCF0msIi8WSlpZ2+PDh06dP5+fnV1VV9e3bd/ny5dWaufAim83mffv2KXFcXJxyotGjRyclJQkhDh8+XF5ertfrW+jsioKCgsOHD585c+bs2bNlZWXK6mB9+/YdOnRoaGhoi54aAAAAAAAAANA2UCgDAACA+mm1Wr1eX15ermyWlZXZFsqUlZV9/fXX27ZtKykpsX2U2WzOyMjIyMj48ssvJUmaM2fOqFGjalauNMqVK1dmz56txMuWLYuOjr5w4cLixYttT3316tWDBw8ePHgwPDz8b3/7m5+fn7LfYrG8++67X375pW2HZ8+ePXv27Icffjhv3rz77ruv5hmTkpI2bNigxCtXruzWrVu9SVoslt/97ncmk0kIERkZ+eqrr9p/ChkZGcuWLat29SorK203nXmRa3Xs2DE1HjNmjBLcf//9SqGMEOL777+Pi4ur6+Fz5sy5dOmS7VxEr7/+ujohja3ExESdrvrnlOLi4tdffz0tLc12p9lsTklJSUlJ+de//hUREfH//t//69ixYyOfFgAAAAAAAADAvbD0EgAAAJprwYIFmzZtqlbAUY0sy2vWrFm6dKnVam3OuWRZtvyXECItLe33v/99XafOysp6/vnnzWazEKKqqupPf/pTtSoZW6tWrfr6669r7r/rrrvUM+7cubMhSZ44caK8vFx5yKRJk+w/hZSUlD/+8Y/2r55w7kWuVWJiohLo9frevXsrcffu3f39/ZV469atdh6uPF/bxGyvg62aj01LS3v88cerVclUc+HChaeeeurw4cONelIAAAAAAAAAAHfDjDIAAACon8ViUaeTEUL4+vrWbBMeHv7ggw9GRUUFBwf7+PgojyoqKkpOTv7ggw+MRqMQ4sSJEwkJCVOnTnVIVj/88MP27duFEAMHDvzd737XrVs3Dw+PysrKCxcuvPXWW3l5eUKIwsLC995775lnnlmxYkVGRoaXl9eMGTPuuOOOgIAASZJKSkp2796dkJCgdLhq1aohQ4a0a9fO9ix6vf6ee+757rvvhBB79ux58sknvb297Semdujl5RUTE2On5fHjx3fs2CGE6NWr1+OPP96rVy8fHx9ZlvPz82ut+XD+RVYUFhZeuHBBicePH6/OWCNJUnx8/D//+U8hRF5e3qVLl2666SYHnlcIcfHixUWLFqmbMTEx06ZNCw8P9/DwqKqqys3NTUhIOHr0qHL073//+yuvvGL/mgMAAAAAAAAA3BmFMgAAAKhfTk6O7WZAQIDt5oABAxYuXNi1a9dqj9LpdB06dBg7duzIkSMXL1585swZIURiYuK4ceOCgoKan5Uyx8ns2bPVlYCEEJ6enpGRkStXrpwzZ05+fr4QIikpKTAw8PDhw6GhoW+88Ya6EpPyRCZPnty5c+cVK1Yoe7744ospU6ZUO1F8fLxSKCOEOHTo0MiRI+1kdfnyZbWmJD4+XqvV2mn86aefCiEeeuihJ554wrb6pHPnzhMmTLBt6aqLrPjmm2/U+J577rE9dNdddymFMkKIPXv2PP7447X2sH79eiHE9evXp02bpux58cUXR4wYYf+8Fotl6dKl6uYTTzzx8MMPq5seHh7du3dftGjR3r17V69erexcvnz5Rx995Onp2aAnBgAAAAAAAABwMxTKAAAAoH7qFClCiNtvv10t6VDMmDHD/sO9vLxefvnl6dOnm0wmIcTu3btrFqM0zQMPPGBbJaPy9PScM2fOkiVLlM0tW7YIIV599VXbKhnVnXfe+dFHH125ckUI8dVXX9XMLTw8vEuXLrm5uUpX9957b7UrYMt2daf77ruv3qcQExNjWyVTFxdeZKvVqhT0CCFCQ0M7d+5sezQ4ODgiIkKpDdq1a9fUqVPt1AZpNJpa47p8++23V69eVeLRo0fbVsnYGjVq1JUrV5TCKaPRuH37dkc993qZTKaLFy/ab6OsJ2W1WquqqpyR041JWZaLq+RWqi0Sx9C7D3WVPQbdfVRbWrHWlRbRtlkslnrf7qIh7Lx8ZFl2ZiaNZZueLMsW/gtoi5RR5i29W6n20mbo3YfyaY5BdyvV3oRUVVU15Dd7aAPU3960hkFXf+Y45K0vhTIAAACox549e9SlbYQQ1WY6aSC9Xh8fH68UrDiwhmP69Ol1HbrllltsN+Pj4+uaYUWSpLFjx27atEkIUVxcbDAYatbTPPbYY3//+9+FEAUFBT///HNEREStXZnN5i+++EKJIyMjQ0JC6n0Ks2fPdtTXBi10kc+dO1dRUaHEEydOrNlgwoQJb7zxhhDCbDanp6c7cOWjjz/+WI2feOIJOy0nT568Y8cO5cPS9u3bJ0+e7JxPbrm5ub/73e/st+nZs6cQwmg0Xr9+3Qkp3dAqKyu5Su7JarUy9O5GlmUG3W0ZDAZXpwBnKy0tdXUKbURl3VeyqrJVf1VZVfXrt2uVlZUG/gtou0wmk/LHG3A3FouFd3fuhs9x7qykpMTVKcDZWsOgl5eXK4FDCmUo9QIAAEDtzGbzhQsXli9fvmbNGnXnsGHDIiMjm9ZhbGysEhQVFRmNxuZnOHDgQL1eX9dRT0/PTp06qZv33nuvna769OmjxrV+yB88eLA6UYo6vUpNR48eVavsH330UTtnVHTs2LFLly71Nms4h19kIcTOnTvV+I477qjZYNCgQWps5+I0VmFhYUFBgRLHxcXZGWshhKen529+8xslNpvN9c7yAgAAAAAAAABwT8woAwAAACGEiI+Pt53XpNY5vfv06fPCCy80+RQBAQFqXFxc7O3t3eSuFAMGDLDfIDQ0VFlQSQhx0003NTC369evd+vWrVoDDw+Phx9+eNu2bUKIAwcOzJkzp9a6jc2bNyuBl5dXQyZWGTFiRL1tGsXhF7m8vPzw4cNKHBsb265du5ptvL29hw0bpjQ7efJkrVPyNEF2drYaDx8+vN72d9xxh1qmk5mZWdesPwAAAAAAAAAAd0ahDAAAAISwWW20Vjqd7qmnnrr//vvtLGcjy3JOTk56evqpU6dyc3MvX75cbb5l21OUlJTYTvfSNPX2oNayeHl56XT23vp6eXmpcWVlZa1txowZoxTKCCH2798/ZsyYag1ycnJyc3OVOD4+Xp2Bxo6aFTn2Of8if//992o8fvz4upqNGzdOrac5ePBgzYvTBOrFFEKEhobW275z585qnJWV1fwEAAAAAAAAAABtD4UyAAAAqJ2vr2/37t179eo1ePDgyMhIDw8PO42PHTu2fv36/Pz8BnZuNpubn6FtdUut1LKe5k+sIoQICQmJjo5OS0sTQmzZsuWBBx6wnYNHCPH555+r8ahRoxrSZ1BQUMMTcMlF/uSTT5RAo9H079+/rmaRkZGenp7KGbdt21bz4jTBpUuX1Njf37/e9r6+vmpsW2TTom666aZ33nnHfpu1a9cKIby8vGzn+0E1FRUVZrPZw8PD/hpbaEuMRqNa6qfRaBwyExVuCFVVVWVlZZIkNeRnO9oGZdDVzXbt2jWknhhtQ3FxsRDC19fXftk6GqjC17eojkM6D52ocmoyjaLTaW1iHW+M26Ty8vLKykovLy+HfADHDUEZdCXWarW1zkGLNslsNldUVPA5zq1UVlaWl5erm35+fnb+nBJtiSzLJSUlQgh/f//m/763mdTPFA7JhM8nAAAAEEKIHTt2NPkbiw0bNuzatcux+TiWoz65Pfroo0qhTHFx8blz5yIjI9VDRqNx7969ShwVFRUcHNyQDhv+hYFLLnJubq5arTJ69Gg72Wq12nHjxikrHxUWFmZnZ4eHhzfz7LZT+zTkQtmOcrWJdlqOj4/PwIED7bdRisy0Wq39ajM3pwyZRqPhKrmPasV8DL37kGVZCRh0t6XT6aiZcDc6nY6XvENU1v3acfn3FvbZpqfRaLTcD22RMsq8pXcrth/DJUli6N2HsmI7g+5Wqk1G7uHhQaGMm1CHXqfTuXzQ1Z85FMoAAADAYZr85nL//v1qAYdGoxk3btyQIUNCQ0OVPxuVJEntOS8vb/bs2Y5J10VuueUWPz8/g8EghNi2bdtLL72kHjp06JAaP/roo449r6su8tdff63GSUlJaiVQrWw/MH/11VfPPPNMM89u+9sW5Vcw9tkmUO9sQwAAAAAAAAAA90ShDAAAAJrOYrGsX79eif39/VetWmVnLaGG1Dq0cpIkTZkyZcOGDUKI5OTkkpISZdkIWZY3b96stPHy8rKzRFETuOoiWyyWnTt3Nq3zPXv2PPXUU838u6JOnTqpscFgsF1ZqVa2azqEhoY259QAAAAAAAAAgLaKOZEAAADQdHl5eWp1wnPPPWengEMIceXKFack1bLi4uLU+JtvvlGCCxcuFBYWKnF8fHyTF7GqlasuclpaWlVVVdMea7VaT5482cwEunbtqsZ5eXn1trd97s1f+AkAAAAAAAAA0CYxowwAAACa7pdfflHjyMhI+42PHz/ewuk4g16vv+eee7777jshxNatW8ePH6/RaLZv3642GDVqlGPP6KqLbPukPv74Y71eX+9DLBbLxIkTlYlntm3bNnjwYDuNZVm231tYWJgaHzly5LbbbrPfPjk5WY179uxZb7YAAAAAAAAAADfEjDIAAABoOpPJpMb2p1ExmUx79uxp+YycIT4+XgnKyspOnTpVVlZ26NAhZU+/fv2Cg4MdezqXXOSSkpLU1FQlHjhwYEOqZIQQWq1WrRM6e/ZsUVFRtQYaza8fQOqdrqZDhw4hISFKvHfvXqPRaKdxZWWlulCUp6dnREREQxIGAAAAAAAAALgbCmUAAADQdGodgxAiOzvbTstNmzY1eR2f1iY8PDw0NFSJP/74Y2V2GcXkyZMdfjqXXOSDBw+q8ZgxYxr+wJEjR6qx7ZVReHt7q3FBQUG9vanXU5blzZs322m5Y8cOtaJImeangQkDAAAAAAAAANwKvz4GAABA04WHh6vx6tWra63SkGX5k08+SUpKcmJeLe6xxx5TgrS0tPfee0+Jvb29o6OjHX4u519kWZa3bt2qbvbv37/hj+3Zs6eXl5cSb9++vdr6SjqdztfXV4mPHTtWb28jR44MCgpS4s8++6yu+XIOHDjw0UcfKbGXl9ekSZManjAAAAAAAAAAwK1QKAMAAICm8/PzGzZsmBLn5OTMnTs3NTVVXSKnvLw8NTV1/vz5CQkJQoiJEye6LFFHu/3229VVkCwWixLEx8fbXxqpaZx/kbOystRVk4YNG+bp6dnwx2o0mtGjRyuxwWDIzMys1iAuLk4Jzp49+8UXXxgMhmrFNLa0Wu1f/vIXdXPNmjXLly/PyspSqoUsFssvv/yyYsWKN998U23z5z//2XbeGgAAAAAO592p+22vfdOuh+P/TgAAAABwAp2rEwAAAMCNbd68eampqaWlpUKIS5cu2ZY12Jo7d25MTMy2bducm11L8fDwePjhh6s9nVGjRrXQ6Zx8kb/88ks1vv/++xv78Li4uJ07dyrxF1988Yc//MH26EMPPfTFF18o8caNGzdu3CiE0Gg0kiQpOxMTE3W6Xz+n9OrVa+nSpUuXLrVarUKIo0ePHj16tK5T/+EPfxgwYEBjEwYAAAAAAAAAuA9mlAEAAECz6PX6devW9enTp64G3t7eS5YsUWcZaTPGjBlju9mvX7/27du30LmceZHNZvPevXuVWJKkvn37NraHHj16+Pj4KPH+/fvVyW8UHTp0+NOf/qSWxSisVqvlv2p2GBsb+/7770dGRto5aVhY2IYNG+6+++7GZgsAAAAAAAAAcCvMKAMAAIDmCggIeOONN86fP79///709PScnBwhRMeOHfv27TtkyJDY2FgPDw9X5+h4ISEhkZGRZ8+eVTYfffTRFj2d0y7yiRMn1LWQ7r777iZ0K0nSmDFjtm/frmweO3ZsxIgRtg2GDRv28ccff//998eOHbt48eLly5eVpZTsCAoKev311/Pz8w8dOnT69OkzZ86Ulpbq9fqbb765b9++Q4cO7dq1a2PzBAAAAAAAAAC4IUn9JTgAAACAhpNleerUqSUlJUIIb2/vLVu2aLVaVyeF1mjWrFnHjx+fM2fOjBkzXJ1L61VaWmo0Gr28vPz8/FydC5ykrKysoqJCiTUaTctNyoXWxmw2l5SUSJIUHBzs6lzgJJWVlcXFxepmYGCg7TKLaNsKCwuFEAEBAW2ydN4FrFaryVzrkSpJqtK0ildWhyD/8vJyJV700sJXXlkqhBBWWbL+95sISRJaTxdlhxZUUlJiNpt9fHx8fX1dnQucxGAwmEwmJdbpdIGBga7NB05jNBpLS0u1Wm1QUJCrc4GTmEwmg8GgbrZv316jYeEat2C1Wq9duyZax6CXlZXdddddQoitW7dGREQ0s7dW8dYZAAAAuOGcO3dOqZIRQkyYMIEqGQAAAAAtS6PR+HjXesRTiFZYeyIJrSQ8hBBCIwTfpgEAAKDVoFAGAKrLz88/efLk6dOnf/rpp/z8fKvVGhAQ0K1bt+7du/ft2/fmm28OCAhwWjJGo3HKlClKPG/evLi4OKeduvXj4sD5zp8/v2DBAiVeu3btTTfd5LRTX7lyZfbs2Uq8bNmy6Ohop526pRmNxvPnz6enp587d+7SpUtFRUVWq9XX1zcsLKxHjx49evSIiorq1KmTJEmuzrS6L774Qo3vu+8+F2biQPXe5PzsBQAAAAAAAADc0CiUAYBfXbhwYfXq1ZmZmdX2FxQUFBQUnDhx4tNPPxVChIWF/eY3vxk+fLher3dCVhaLRQmsVqsTTudwR48efe2115R45MiRc+fObUIn//znPz///HMl/sMf/jBixAglvtEvDm5E6l3n5PUrZVlWT91mXLp0KSEh4cCBAzUPmc3moqKi1NRUZdPPz++RRx4ZPXq0t3ftfz3pfMXFxQcPHlTimJiYtrRiSL03OT97AQAAHMVw4VLq8o9cnUULMhqNQghPT0+Xz9PeQiL6+onKSvttUh4cVNRaF576OTPA4X+RUGn99XPEDyl57676j6PP4HgBIZ49RlbV3O+j03T1/d9lpHxzrmuLrzk3L9eQ+owR7Tq7OgsAAICWRaEMAAghhCzLH3/88ZYtWxrSODs7e/Xq1QkJCR988EFLJ9YGxMbGWq1W5dvWvXv3Pv30056ejZsM2GKx7Ny5U/1edtCgQY7PEoBzVVZWvvvuu0lJSQ1sbzAY3nvvvU2bNj3yyCOTJk1q7I+RlrB582Y1fvzxx12XCAAAAG5gxsLi8+/vdnUWaLoOv+lmKbpuv03aXWHZVWXOyaexUtIcXw9hsSmU+eXi9YPf/OTwUzhcWK9A6faSmvvbe/u09ypQYu+iIk1OhnPzcg0pfDiFMgAAoM2jUAYAhBBi165dtlUy0dHREyZM6NmzZ7t27TQajdVqLSkpyc7O3r9//zfffOPCPJ2gpKRk+vTpSvziiy8OHTq0mR16enred999e/fuFULIsvzDDz8MHjy4UT2kp6dXVf3vn/XcddddrWc+ibbH4aOPurj5pTYYDAsWLMjNzVX33HTTTQ899FBUVFRISIher5ckSZZlo9FYUFCQnp7+1Vdf5eTkCCFkWf7kk0+8vLwmTpzouvRFeXl5UlKSWuXTr1+/nj17ujAfAAAAAAAAAADQcBTKAIC4cuXKxo0b1c0lS5bcdttttg20Wm1QUFBQUFBMTMysWbO++OKLhIQEp6fpPA5fWWbs2LFKoYwQYtu2bY0tlNmxY4caP/jggw5JCXVx1bpCbshtL3V5efmzzz5bVFSkbAYFBf3pT3/q27dvtWaSJOn1+vDw8PDw8LFjx+bk5LzzzjtpaWlOz/dX//jHP7777rtqOzUazR//+EeX5AMAAAAAAAAAAJqAQhkAEImJiWr87LPPVquSqcbb23vSpEljx47dunVry6cmvL29d+7c6YQTtaju3bsHBQUp34ufPXu2qKgoKCiogY81GAwnTpxQ4nbt2vXu3Vs91DYuDuBWZFlesmSJWiXTp0+f5cuXe3l51fvAbt26LV++/NixY2+++WYL59gIkiS98sorwcHBrk7EqfjZCwAAAAAAAAC4oWlcnQAAuJgsy/v27VNijUZz7733NuRRer3+8ccfb8G02hZJkmzXSfn3v//d8Mf+5z//UeP4+HhJkhyZGQDn+uabb86ePavEISEhf/vb3xpSJaMaNGjQ+++/HxYW1jLZNZRGowkPD58yZcq//vWv6Oho1yYDAAAAAM5nzM86uWh06cV0VycCAAAANAUzygBwdyUlJVarVYmjoqK0Wq1r82mr7rzzTnV9q+3bt48fP74hJS+yLNvO9xMXF9dS+QFoeZWVle+88466uXDhQk9Pz8Z2otfrG7t8m6O88MILL7zwgktODQAAAACtiyzLlirhZksJAwAAoM2gUAaAu6uoqFBjf39/x3Yuy3J2dvaPP/54+vTpn3766dq1azqdrmvXrr179x4wYED//v2b8CVxw0+dnp5+4MCBH3/88erVqz4+PjfffPOgQYNGjBih1+tb6KR2BAQEREdHp6WlCSGKi4t//vnniIiIeh+Vm5ubn5+vxH369Gnfvr1DknHUxbFarefOnfvhhx/Onj37008/GY1GPz+/Xr163XrrrbfffntISEhDOrFYLKdOnTp58uTp06ezs7OrqqqCg4Ojo6NvvfXWQYMGNe0OaW2jXy23lnhROOopWyyW48ePf//996mpqUVFRYGBgTfffPPQoUNvv/32lnu1NocDn7jD78Oajhw5YjablTgyMtJ2JbWWY7FY0tLSDh8+fPr06fz8/Kqqqr59+y5fvrzWlq3wxejwl4wLb/LWdrvm5+cfP378hx9+yMrKKiws1Gg0HTp0iIiIuOWWW2JjYzt27NikZwkAAAAAAAAAaO0olAHg7nS6X38SXrx40VHdlpWVff3119u2bSspKbHdbzabMzIyMjIyvvzyS0mS5syZM2rUKDtzqxiNxilTpijxvHnzap1S5cqVK7Nnz1biZcuWRUdHX758efHixZcvX7Y9b3JycnJy8tq1a+fPn3/nnXfW7GfOnDmXLl2Sbf4Y6PXXX9doalmkLzEx0fa6NdCECROUQhkhRFJS0ty5c+t9yN69e9V40qRJ1Y468+JUo6zY9e6779oWWgkhrl69evXq1aNHj65fv37gwIEzZ87s3LmznU527969adMmk8lkuz8vLy8vL2/Pnj1arXbmzJn333+/nTvkRhl94bgXRQuNqRDi3Llzy5YtMxgM6p7CwsLCwsLDhw97eXktXLjwtttua9xzro0DL7Wjbubm34cN9Nlnn6mx7XJsjlLz3sjIyFi2bFm1W66ysrLaA1vVi1HlqJeMLYfc5K792euQ29VgMPzjH/9ISUmptj8nJycnJ0dZHzAqKuqpp55yTjkXAAAAAAAAAMCZKJQB4O4CAgLU+NKlSwUFBR06dGh+twsWLMjJybHfRpblNWvWHDlyZPHixbV+Ta6wWCxKoC4RVbMftY0QIjMzc/78+XIdk9/Ksvzmm2+WlZU98MADNU9k20/NnpspJiZGp9NVVVUJIfbu3Ttz5kwPDw877S0Wy65du5RYkqTY2Nha2yhBS18cW2VlZX/5y18yMzPttBFCpKSkpKSk7Ny5s9aj5eXlixcvzsjIsNODxWJZt27dsWPHFi1aVNeiYDfK6AvHvShaYkyFEPv27Vu5cmVdR00m05IlS+bPnx8aGmq/n3o56lI75Ik76j5sCJPJZPuq6devX5O7qku1K5mSkrJs2bJ6H9XaXowqB/4/onDgTe6Sn72OGqni4uJZs2aVl5fb6UcIcebMmfnz53/yySc+Pj72WwIAAAAAAAAAbiwUygBwdx4eHpGRkWfPnlU2X3nllVdffdXX19chnYeHhz/44INRUVHBwcHKN20Wi6WoqCg5OfmDDz4wGo1CiBMnTiQkJEydOtUhZ0xPT09MTJRlOTIyctq0aRERET4+PrIsFxYWJiYm7tmzR2m2bt26IUOGBAbO3f2kAAAgAElEQVQGOuSkDaTVaseNG6dMKSHL8smTJwcPHmynfXp6ulJVI4S4//77m78miEMuTkVFxbx58woLC5VNb2/vRx55ZPjw4cHBwTqdTpZlg8GQnZ399ddf79+/v65MTCbT888/f+XKFWWzQ4cO06dP79+/v7+/vyRJJpMpIyNj48aNWVlZQoiUlJQVK1YsWLDAOU+wpTn2ReGop5yenm5bQHDvvfdOnDixc+fOGo3GaDRmZmZu2LAhKytrxYoVEyZMaO4lcASHPPEWug/rkpubq8bBwcGO+jFbl+PHj+/YsUMI0atXr8cff7xXr17KJcrPzz98+LDarPW/GB31knHhTd7abtelS5eqVTJDhgyJj4/v0qWLXq+XJMlqtZaWliqTyqiJAQAAAAAAAADaGAplAED89re/Xbx4sRJfvHjxsccei4+Pj4uLCw0NbfJSIwMGDFi4cGHXrl2r7dfpdB06dBg7duzIkSMXL1585swZIURiYuK4ceOCgoKa8ywUW7ZsEUJMmzZtwoQJavKSJHXs2HHu3LlhYWEbN25Udm7fvv3JJ5+0fez69euFENevX582bZqy58UXXxwxYkTzs1KNHj1aXXtl27Zt9gtllC+5FfVOB9IQzbk4qhUrVqhVMjExMQsXLtTr9epRSZICAgKio6Ojo6OffPLJzZs319rJypUr1a97x4wZ8/TTT9vOfODt7d2/f/+333577dq1yuJThw4deuCBB6Kjo1vuCTph9FviReGQMbVYLMuXL1c3X3rpJds708fHJzo6+u233165cuW33367ffv2xj3tGhxyqR3yxFvoPqxLXl6eGvfs2bNpnTTcp59+KoR46KGHnnjiCdtL1LlzZ9tCkFb4YlQ58CXj5Ju8mlZ1u+bm5qozG/32t7999NFHbY9qtdqAgICAgIBbbrllxowZdU0JBgAAAAAAAAC4odUzQzsAuINbb711yJAh6qbFYklMTHzmmWfi4+P/+te/fv7552fOnDEYDI3qc8aMGTW/3bTl5eX18ssve3l5KZu7d+9uQua1iouLmzhxYq0lPuPGjVMXltqzZ0+tq2DYLt5R70IejdWlS5fOnTsr8dmzZ69fv15XS4PBcOLECSUOCgoKDw93SALNvDjp6enJyclK3KtXryVLlthWyVQTEBDwzDPP1NyfmZl58OBBJR48ePCsWbNqXR9Eo9HMnTu3e/fuyuZbb71V16oltlrz6LfQi6KZT1kIsW/fvrKyMjXJWuu3NBrN888/HxER0ZCUGqL5l7qZT7xF78NaFRQUqHFYWFjTOmmUmJgY2yqZmlrzi1E49CXjkpvcVuu5Xc+fP6/G9ufO8fHxmTx5MusuAQAAAAAAAEDbw4wyACCEEAsWLNiwYUNSUpLtTovFkpycrBZGhISEjBo1Ki4urmPHjg45qV6vj4+PV/7Ufvfu3VOmTHFIt3X9Ob4QQpKk+Ph4ZUILo9F47dq1/8/evcdFVef/A/+cmQFmBrnJxQuIhKCAIYu3FLVcK11Nk1VL3cd6Y0tJMvstxebaeo1vbeV+zWtiS9sWmSJqZqGmrql8NUCNQEQkQpD7fYa5X87vj7N7mh3gzABzg3k9/3qf4TOf857zOQcOM+/5fHx9fS2yU/M9//zz7PIf33333cKFC7ts9n//93+GT+n11D5G+nhwMjIy2DglJaXLT2pNMpxmZuPGjRwvjaKoDRs2JCcnE0IaGxsfPnw4YsQI7s4dfPRN6sVF0feX/MUXXzCBSCRasGABR29JSUnMcDiCPr5wq56HXWpvb2dji0ygZVJiYiL3r44BcDGaecnY/SR3nNO1ubmZCYRCoYuLS89fShcePnxo8qAxfy8UCkVra6tFdjog6fV6QoharcZRch7MoLMxht55MIWMNE1j0J2HUfWqRCKx1L94A0BPv5YDjkZP60220elNtwH70ul0XT5O62nDNpb5F8LhSaVSLa83f6OZuzulUqlWqy2dFDgow1t6rVaLuzvnwdzdMeuD2zsXsBGjW/q2tjbc0jsbw3f47UUulzOB3hI32CiUAQAghBA+n//SSy/NnTv3448/vn37dpdtmpqaPv/8888//3zixImvvvqqp6dn3/cbGxvLfMDZ2tqqVCqFQmHfO/Tw8OBoEBkZycZ2KZWIi4tjC2WOHz/+7LPPdr6domk6MzOT3Xz88cctsus+HhypVHrnzh22K3ZqnB5RKBT5+flM/MQTT3DnQwgJCwsTiUQKhYIQcv36de7P5h1/9M3Ro4ui7y+5ubmZ/eA8Pj6eu/gpLCzM09NTIpFwvwQb6OMLt+p52B2NRsPGAoGJW1CJRLJq1SqOBqmpqVFRURwNAgICAgMDORoMmIvR5CVj95PcoU5X9ulKpVImk7m7u5v9OrqlVqt/+ukn7jbMcmM0TXf3/juwcJScGYbeCWHQnZZF3tMcMHAh9HvmzLnZ24k5wXa6GSParAEeaPR6fV9+NeGW3plh6J0QBt1p4ZbeCTnC9W7ZHLD0EgDAL0JCQrZv3/7pp5++9tprkydP7u7TxPz8/JUrVxYXF/d9j15eXmxskWLMSZMmmb9HjpWPrEcsFrMLXbW3t1dUVHRu8/Dhw4aGBiaOiYkx+bGomfp4cAxTffrpp3uXg2EnM2bMMNmeoqjo6GgmLikp4W7s+KNvjh5dFH1/yYYjMnHiRO7eKIqaOXMmdxvbsODJbPHzsDuGs3dotVqT7XWcTC5+ZPJ1DZiL0eQlY/eT3KFO1/DwcDZ+55132K8gAAAAAAAAAAAAAIDzwIwyAADGvLy8Hn/88ccff5ymaalUWlNTc+fOnQsXLlRXV7Nt9Hr9G2+8cfjw4SFDhnB0RdN0VVVVUVHRnTt3qqur6+rqVCqVYQPDqluJRMLdmzlMTnPi6urKxvaaB3XhwoXXr19n4m+++SYpKcmowfnz59l48eLFltpvHw9OZWUlG4eEhPQuh4cPH7JxcHCwOU8ZMWIEs/7XvXv3uFv2i9G37EXR95dcU1PDxuasqsZMC2F3fXzhVj0Pu2M4C5cN6rRMTnvTXy7Gvl8ydj/JHep0DQkJCQwMZP6gFxQULFu2bPr06XPnzh01apRYLDancwAAAAAAAAAAAADo71AoAwDQLYqiPD09PT09IyIiFi9eXFdX9+GHH966dYtt8Pbbb+/evbu7p+fl5R06dIidGcUkixQuuLm59b0Ta4uIiGDXxTh//vzatWsNp5rQ6XRnzpxhYoFAwE4M0Hd9PDiGHzYbzn/QI1VVVWz8yiuv8Hg88p/VPWmaZgNCiF6vZ5d6ZdpLpVKapjkW/nT80bf4RdH3l1xbW8vG5nxM7ufn18c9WkQfX7hVz8Pu+Pv7s7Fh2VmXPD09T58+bfTgqVOn0tPTzdydj48Pd4N+cTFa5JKx+0nuUKcrRVHbt2/fsGED8zeIEHLt2rVr164RQnx9fSdPnjxp0qTIyMgeLck0aNCgBQsWcLcpKysjhAgEgr6vsTiAaTQanU7H5/MN7wpgYNNqtewcYxRFOf6dDFiKXq9Xq9UYdKfCDDq76erqyvxNB9If/o8DbhRFmVybh+JRxP4T1QMXqptfShT5r/8mbJWOnbm6uvJ79Z8Lc0svEAhMLrgMAwYz6EzM4/EMvwkDA5tOp9NoNBh0p8IMOrvp5ubmPH8ZnRxN08xXNx1h0C275hfuVwAAzDV06NBt27Z98sknWVlZzCPl5eU1NTXDhw/v3DgtLY2t9gAjPB4vPj7+yJEjhBCapm/fvj158mT2p4WFhez/V88++2x3C2DZnuEbu73+DI/9aJYQolQq+5pTv+KYF4XhsJrzZv3AeBfbLueh4a/K8vLyXvTQo98GJt+Vc/yL0VKXTH8/yS0+UgEBAR9//HF6errh7GWEkObm5uzs7OzsbELIxIkTV69ebeYENgEBAVu3buVus27dOkKIq6vroEGDepv4wNfR0cG8q46j5DxkMplhoQyG3nmo1WrmzxMG3XloNBrDexKxWIzPUFkKkcjeKUCfmPNpAY9CZZij6+5/JYpHmWwz8IhEItKrv9ESiUSn07m4uPTouwfQr0mlUsNCGdzdOQ+lUqnRaPB/nFNRqVSGhTLu7u7O85fRyen1eqZQxhEGnb33tkgm+KcUAKBnVqxYcenSpdbWVmazuLi4c6HM5cuX2U83eTze/Pnzp06dOnz4cHd3d4FAQFEU+6u8pqYmMTHRZsk7jqeeeooplCGEHD9+3LBQhq1DIoQ8/fTTts6se4bV8RqNpnezAjjt28EOe1EYDqterzdZimG06k0/ZZfzMDAwkI0bGxvlcrl9V7px8IvRgpdMfz/JrTFSYrH45ZdfTkhI+OGHH3JycnJzc41edX5+fn5+/qJFi1atWmX370kAAAAAAAAAAAAAgGU59CcEAAAOiMfjzZs3LyMjg9n8+eefjRrodLpDhw4xsaen5969ezlWAGEr7p2Nv79/aGgoM6tESUlJW1ubt7c3IUQqlRYUFDBthg0bZvjJut0ZVkRJJBIPD49edDJkyBA2PnLkiJN8w8aRLwrDEZHL5SYX1WpubrZyRrZgl/NQKBSyVz0hpLi4eOLEiTbYb3cc+WK07CXT309y642UWCyOi4uLi4ujabqtra28vPzq1avfffcde0hPnDgRHBw8a9YsS+0RAAAAAAAAAAAAABwB5kQCAOixoKAgNjZcEoJRU1Mjk8mY+JVXXuH4dJMQUl9fb/H0+oslS5aw8XfffccEOTk57IPPPfecrXPiZLgGx4MHD3rXySOPPMLGjY2Nfc2pn3Dki8KwGKuhocFk+96tGeRo7HUeLly4kI0zMzNttt8uOfLFaNlLpr+f5DYYKYqifHx8JkyY8Oqrr2ZmZiYkJLA/SktLs+zCtwAAAAAAAAAAAABgdyiUAQDosY6ODjbu/NX8hw8fsnFERAR3Vzdv3rRgYhZH07T1Op80aRIbHz9+nKZpmqYNPzuPi4uz3t57ISQkhI0vXLjQ906cZ/Qd+aIwHJFbt26ZbP+vf/3L4jlY9ULrkr3Ow2nTprHL6Ny9e7e0tNRmu+7MkS9Gy14yjnCS94WNR0ogEMTHx8+ePZvZlMvlLS0t1t4pAAAAAAAAAAAAANgSCmUAAHosLy+PjUePHm30U5VKxcZ8Pp+jH5VKde7cOcvm1nc83i9/GrRarfV25Obm9uSTTzJxe3t7RUXFw4cP2dkCpk6dKhaLrbf3XvDw8GA/sc7Pz+/dxCdeXl6RkZFMfOzYMase4V6w0ug78kXh5+fHTtdx8uRJ7lVsysrK2tvbLbJfm11oXbLXeejq6rp27Vp2891331Wr1bbZdWeOfDFa9pKx10luKXYZKcNKTalUaoM9AgAAAAAAAAAAAIDNoFAGAJydXC4/deqURqMxs31NTU1ubi672fm7/n5+fmxcWVnJ0VV6erpDfTTLEAqFbGzt5Ujmz5/Pxt9888358+fZTcMlWhzHihUr2HjXrl29W49j5cqVTKBQKA4fPmyZzCzESqPv4BfF0qVLmUAul589e7a7ZjRNHzhwwFI7teWF1iV7nYdz5swJCwtj4oaGhq1bt9qxVsZhL0aLXzJ2OcktyPYjZTiLzKBBg2ywRwAAAAAAAAAAAACwGRTKAACQ9PT05cuXZ2VlyeVy7pZ1dXUpKSns5tSpU9mv6bNGjhzJxvv27evyI0yapo8ePZqdnd2HrK1FIBC4u7szseHcOdYQGhrKrl11/vz5M2fOMLFIJDK52ohdREdHT5w4kYlLSkreeustpVLZXWOZTPb3v/+98+Njx46dPn06E2dnZ6enp3NP8EAIaWpq+vTTT2UyWW8TN5eVRt/BL4rZs2ez0xcdOnTo9u3bndswBQRlZWWW2qktL7Qu2es8pChqx44dnp6ezOadO3cSExPv379v8okqlaqoqKgvu+7MYS9Gi18ydjnJLciCI3Xs2LHCwkLupysUik8//ZSJhUKhYd0SAAAAAAAAAAAAAAwAKJQBACCEELVa/cknnyxbtuytt966du1adXU1WwBB07RcLi8pKdm9e/fatWslEgnzuIeHx8aNGzt35eHhMW3aNCauqqpKSkoqKChge5PL5QUFBcnJyRkZGYSQJUuWWP219dysWbOYoKSk5KuvvpJKpTRNW2NHFEUtXryYiWmaZj+5/O1vf2u4MI1Dee2119jqqPz8/DVr1nz11VdNTU1M8jRNy2Sye/fu7d+/f/ny5V9++WWXnWzcuHHYsGFMfOrUqRUrVnz99dd1dXXs1Bp6vV4mkz148ODs2bOvvvpqQkJCZmZm7yaw6SlrjL6DXxQCgWDTpk3s5tatWw8ePFhXV8cccLVafffu3eTkZGaBGwvOdWSzC6079joPBw0atH///qFDhzKbTU1NycnJL7/88oULF6qqqhQKBXscNBpNe3t7YWHh/v37n3/++evXr/dx15055sVo8UvGXie5BVlqpH766afNmzcvXbo0LS2toKCgpaWFnVJOp9O1trZevnx57dq1ra2tzIOJiYkURdnkJQIAAAAA9CfCISHj37k46JFoeycCAAAAANAbAnsnAADgWHJzcw1XVuqOj4/P+++/z35B38iGDRsKCgo6OjoIIbW1tX/5y1+6bJaUlBQTE3P8+PG+JGwN8fHxX331FRMfPnyYWeeCx+OxHxZmZmYKBJb5CzJz5sz09HSjB5988kmLdG4NYrF43759b7zxRlVVFSFEJpOxh8h8bm5uH3zwwc6dOwsLCwkhHR0dhw4dskq6PWel0XfwiyImJuall146ePAgs5mdnd3lRB0bNmwICQnprv6pp2x5oXXJjuehl5fXvn37PvzwwwsXLjCPVFZW7tmzx5zn+vj4rF27NioqyiKZOOzFaPFLxi4nuQVZdqTUavWZM2fYacy6M2fOnF//+te93gsAAAAAAAAAAAAAOCYH/b4+AIDNiMXi9PT0hISEwMBAc9qLRKIXX3zxo48+8vf35+jz4MGDo0eP7q6BUCjctm3bnDlzepOx9fn7+//pT38y+g69Xq/X/YcF9+Xt7T127FjDR0JDQzmOrSPw8PDYu3dvQkICdxFDTEzMgQMHuvupUCh866233nzzTXbxqe5QFDV79uy9e/d6eHj0MuOesNLoO/5FMXfu3LfffptdDsmIQCDYvHnz008/bcE92vJC644dz0NXV9dXXnll//79U6dONfMpY8eOTU1N/cc//jFt2jQLTvLhmBejNS4Z25/klmXLkfLw8Hj99dfXr1+P6WQAAAAAAAAAAAAABh7MKAMAQPz8/OLj4+Pj46VS6f379+/du1dRUfHw4cP6+nqNRiMUCocNGxYUFBQWFhYTExMcHMzn80326eXl9d57792/f//y5ctFRUXM7CMBAQFRUVFTp06NjY11cXGx/ivrvWnTpn3xxRc3btzIy8urqKioq6vTarVW2teSJUvu3LljuGmlHVkQj8eLj49fsGBBQUHBDz/8UFxc/ODBA7VaPXjw4FGjRsXExDz22GMBAQHcnVAUNXny5H/+85+VlZV5eXn3798vLS1ta2sjhAQEBIwYMWLUqFHjxo0bPXq0jc8WK42+418UY8eO/eyzz/Ly8m7cuHH79u22tjZvb+/w8PDp06dPmTJFKBRafI+2vNC6Y9/zcMSIEZs2bVIoFKWlpT/++GNpaWltbW1zc7NerxeJRMOHDw8JCQkKCgoPDx81alR3k3j1nWNejNa4ZGx/kltW30cqJSWlsbGxsrKyoqLi559/rq2tbWxsVCgUer3ey8srODg4KioqNjZ29OjRDrsCIAAAAAAAAAAAAAD0EUXTtL1zAAAAAAAAGLDWrVt38+bN9evXJyQk2DsXx9XR0aFUKt3c3Gwzgxo4AplMplAomJjH4w0ePNi++YDNqNVqiURCUZSvr6+9cwEb0Wg07e3t7Ka3t7dV1xjtXxT1rQ+yrtg7CytilhMViUTmfOmoP/If7sYjJt5gL4sNkbk66DnfUCe2+CSKK+LCVcp//4n//fL1q1e8Yuk9WJ7Igz9knL7z4y48np9QxcRujVKeQm7bvOyDGj6eCL178USJRKJWq0UiUXdTmcLAI5VKVap/XyMCgcDbuzdnDvRHSqWyo6ODz+f7+PjYOxewEZVKJZVK2c3Bgwfja2ZOQq/Xt7S0EMcYdJlM9sQTTxBCjh07Fhoa2sfeHPQGHQAAAAAAAAAAAGBgEw3xiVi/0N5ZWFFTUxMhxMvLy+5ziNrRJHsnwGWY5btczful9iZk1OAn546x/D7swgrHCgAAAADsBaVeAAAAAAAAAAAAAAAAAAAAAOAUMKMMAAAAAJjW0NBw+/bt4uLin376qaGhQa/Xe3l5jRgxIiQkJCoqasyYMV5eXvbO0Ubu37+fkpLCxAcOHBg2zPh7hUqlcvny5Uy8YcOGWbNm2TQ/h1dfX5+YmMjEO3bsiI6O7mOHOOAAAADgOBT1re13K5nYRcgXCu2bjk2JAwWk0yo+gvZ2Qgjt5q/mOdOx6J+KakS0iVWkzKI36KS5UV5SVG+BTsFqeMN4RNDFslMmebsRiiZ+ogCq85UPAAAA4PBQKAMAAAAAXMrLy/ft21dWVmb0eGNjY2Nj461bt06cOEEICQ4OfvbZZ6dPny4Wi+2Rpk3pdDomoLt5I5ltoNf35g1Hk27durVz50528/XXX4+Li7PGjqyBpmn2+FiKtQ84AAAAgJlqL9767vf/w8Sj5z3qI31g33xsKeK1YUSrMnrQkxBCiHTqk3J+h+1Tgh55+dgYldYCt9Nq3S+dXP+uQlZ3vu99gvUEr/Vu8JD24olPBxFC0799ZBmf4ls8KwAAAABrw9JLAAAAANA1mqaPHDny6quvdq6S6ayysnLfvn0vvfSSDRKDrKwsnYFjx47ZOyMAAAAAAAAAAAAAgP4BM8oAAAAAQNfOnDlz5MgRdjM6Onrx4sWjRo0aNGgQj8fT6/USiaSysvLy5csXL160Y57Opr29vbCw0PCR8vLypqYmPz8/e6UEAAAAAAAAAAAAANBfoFAGAAAAALpQX19/+PBhdnPbtm3jx483bMDn8318fHx8fGJiYtatW/fVV19lZGTYPE1ndOXKlc4PXrx4cenSpbZPBgAAAAAAAAAAAACgf0GhDAAAAAB0ITMzk41ffvlloyoZI0Kh8LnnnnvmmWewBhAhRCgUnj592kqd0zTNHuTIyEihUHj79m1CyMmTJ5977jkezxlXVrXqAQcAAAAAgM6UDQ/ufrA2/MVdg0IetXcuAAAAAAA95ozvpAMAAAAAN5qmL1y4wMQ8Hu/JJ58051lisXj16tVWTAsI+fnnn9vb25l48eLFCxcuZGK5XF5aWmq/vAAAAAAAwJnQNK3TEpq2dx4AAAAAAL2BGWUAAAAAwJhEItHr9UwcGRnJ5/Ptmw+wzpw5w8a/+tWveDwej8djBuvLL7+MiIiwX2oAAAAAAAAAAAAAAP0ACmUAAAAAwJhCoWBjT09Py3ZO03RlZeWPP/5YXFz8008/tbS0CASCoKCg8PDwCRMmjBs3ztXV1bJ77BGdTnfz5s0bN24UFBS0trZ6e3uPGTMmLi7uscces29ihBC1Ws3O9DNr1iwmnzlz5mRnZxNCcnJy5HK5WCzuXec6na6wsDAnJ6e4uLihoUGr1UZFRaWmpho1s9LwaTSa3NzcnJyce/fuMYc9JibmsccemzRpkgXrtBz83AMAAAAAAAAAAAAAG0ChDAAAAAAYEwh+uUusqKiwVLcymezbb789fvy4RCIxfFytVpeWlpaWln799dcURa1fv3727NkURXXXz9WrV//2t78xcUZGBndpSGFh4ZYtW5g4LS3N39+fo/G9e/d27NghlUrZR5qampqamnJyctzc3DZt2jR+/HiTL1OpVC5fvpyJN2zYMGvWLJNPMVNeXh4bz5s3jwl+85vfMIUyhJAbN26Ys7v6+vrExEQm3rFjR3R0dGlp6Y4dO4zGRaPRGG5aavg6KywsfOuttwzLs5qami5evHjx4kV3d/fNmzc/+uijHE8354BbL3kAAAAAAAAAAAAA6F949k4AAAAAAByOl5cXG9fW1jY2Nlqk25SUlPT0dKNKBSM0Te/fv3/79u3s2k9dttH9hzn7ZRvTNM3R7MKFC6+//rphlYwhlUq1bdu27777rkd75HgVvZCZmckEYrE4PDyciUNCQthZf44dO2ZOP0YHMD8//7XXXuMeF2K54TOSm5u7efNmwyoZQzKZ7M9//vM333zD3YnJA26l5AEAAAAAAAAAAACg38GMMgAAAABgzMXFJSIioqSkhNncuXPn22+/7e7ubpHOR44cuWDBgsjISF9fX5FIRAjR6XStra25ubmffPKJUqkkhNy6dSsjI2PFihUW2aM5ioqK9uzZw24++eSTS5YsGTp0KI/HUyqVZWVlaWlpDx482LVr1+LFi22WlaGmpqby8nImXrhwITvrCUVRixYt+sc//kEIqampqa2tHTZsmPnd3rx58+TJk4SQsLCw1atXh4WFiUQimqYbGhpycnI6t7fs8N28efPEiROEkKCgoHXr1o0ePVooFOr1+rq6uqysLHadqQ8//HDYsGGxsbHmv64uOea5BwAAAAAAAAAAAAC2hBllAAAAAKALv/vd79i4oqLi97///aefflpdXc09KQu3CRMmHDhwYO/evbNnzx4xYoRYLKYoiqIogUDg7+//zDPPfPrpp5GRkUzjzMzM1tbWvr4M8+h0utTUVHbzzTff3LhxY2BgIJ/PpyhKJBJFR0d/8MEHzJo+WVlZtsnKyMWLF9n417/+teGPnnjiCTY+d+5cj7o9ceIETdPx8fG7du0aN24cMyg8Hm/o0KFGJUHWGD6mSmbGjBl79+6NiYkRiUQURfH5/MDAwFdeeYVdM4sQ8vbbbxstBdUjDnvuAQAAAAAAAAAAAICNYUYZAAAAAOjCr371q6lTp16/fp3Z1Ol0mZmZmZmZfD5/wkQy19IAACAASURBVIQJ0dHRo0ePDgoK8vDwML/PhIQE7gZubm5bt25dtWqVSqUihJw9e3b58uW9fgnmu3DhgkwmY+KEhITJkyd3bsPj8TZu3FhRUcFO62JLer2eqSkhhAwfPnzo0KGGP/X19Q0NDWUSO3PmzIoVK/h8vvmdx8TErFmzhp2ipjtWGr6goKDk5GQer4sK/okTJ65duzYtLY0QolQqv/nmm4ULF5rssEvWO/fa2tpOnz7N3YaZq0aj0XS3whQQQpiFwHQ6HY6S89BqtWxM0zSG3nmwKydi0J2H0XKZKpWqL/WvDk6tVrOxs63nSNN0dzeUfam2BwCr0tN9+k2lUCj41L///WR+22u1WvyJdx6Gf+L1ej2G3nkw/83h/zinYvgvPCFEqVSafC8RBgb2Tt4RBp39nWORf7VQKAMAAAAAXUtJSUlLS8vOzjZ8UKfT5ebm5ubmMpt+fn6zZ8+eNWtWQECARXYqFosXLVp05MgRYsNCmS+++IIJRCLRggULumtGUVRSUlJycrINUjJy79499t+AJUuWdG6wePHi9957jxCiVquLiopiYmLM7zwxMdFS/+T0YviSkpK6rJJhzJ0797PPPpPL5YSQo0ePPvvss9b7f6x3515LS4vhol1dGjVqFCFEo9Gw9VjQHa1Wa/TOCzgJmqZxgTgbDLozG9gfqDBFtwxnK5ThoNPhUPQDqGdyTn38TSWXy3n/vXCBRqMZwNWQwEGv1+Puztlg0J0Z82YdOBVHGHTL5oCllwAAAACga3w+/6WXXtqzZ09sbGx3bZqamj7//PMXXnhhx44dEonEIvtld9fa2spMxWFVzc3Nzc3NTBwfH889F0tYWJinp6e1U+rMcM6SKVOmdG4wadIkNmbnnjFHQEBAYGBgX3Iz0qPhEwqFUVFRHA34fP6iRYuYuKOjo66uziJJdsfG5x4AAAAAAAAAAAAA2B4KZQAAAACAS0hIyPbt2z/99NPXXntt8uTJ3dWR5Ofnr1y5sri4uO979PLyYuP29va+d8itoqKCjSdOnMjdmKKomTNnWjWfzuRyeU5ODhPHxsYOGjSocxuhUDht2jQmvn37tlQqNbPzGTNmWCRJVo+Gb/r06SZniBk/fjwbW3vdKxufewAAAAAAAAAAAABge1h6CQAAAABM8/Lyevzxxx9//HGapqVSaU1NzZ07dy5cuFBdXc220ev1b7zxxuHDh4cMGcLRFU3TVVVVRUVFd+7cqa6urqurM5ygnvz3zM8SiYS7t76rqalhY3MWkGKW0bGlGzdusPHChQu7azZ//ny2nubq1avz5s0zp/MRI0b0KBnLDl94eLjJPRr28PDhwx5la8RK5x7H0lEAAAAAAAAAAAAA4GhQKAMAAAAAPUBRlKenp6enZ0RExOLFi+vq6j788MNbt26xDd5+++3du3d39/S8vLxDhw41NDSYuTu1Wt3XjE2pra1lY7FYbLK9n5+fNdPpwtGjR5mAx+ONGzeuu2YRERGurq7METt+/PjcuXNNTtZCCPHx8TE/E4sPn7+/v8lORCIRGxsOVk9Z6dwLDQ3Nzc3lbrNu3TpCiFgstv3J0490dHQolUo3NzcPDw975wI2IpPJFAoFE/N4vMGDB9s3H7AZtVotkUgoivL19bV3LmAjGo3GcKo2b29vgWDAvicpMfhDNoBfZpc4bj4FAr7Vb+uhzyiKIoS2dxZgawJ+n35T+fr68ql/zzsrkUjUarVIJHJ3d7dEatAPSKVS9vsnAoHA29vbvvmAzSiVyo6ODj6f36O3laBfU6lUhjNYDx48GN8ccxJ6vb6lpYU4xqDLZDImsEgmOIMBAAAAoPeGDh26bdu2xYsXs4+Ul5cbztFiKC0tbefOneZXKtiGYT2EOXfYbm5u1kzHWHV1NVsdMmfOHI6PW/h8/vz585m4qampsrLSnP7N//zGGsPn6upqso3hal9GE8CYzzHPPQAAAAAAAAAAAACwPef6WgMAAAAAWMOKFSsuXbrU2trKbBYXFw8fPtyozeXLl8+cOcPEPB5v/vz5U6dOHT58uLu7u0AgoCiK/QZqTU1NYmKizZI3rNXQ6/WGZRld6nWtRu98++23bJydnX3+/HmOxoYrB33zzTcvvfSSpdKw0vCZM2uL4Ysyp7CmM4c99wAAAAAAAAAAAADA9lAoAwAAAAB9xePx5s2bl5GRwWz+/PPPRg10Ot2hQ4eY2NPTc+/evRxTs+p0OvN3TdMm5gY32duQIUPYWC6Xe3l5cbdvbm42M7e+0+l0p0+fNnrEzOeeO3fuhRdecHFxsUgaVhq+pqYmk23kcjkbDxs2zPzO2XyslDwAAAAAAAAAAAAA9EdYegkAAAAALCAoKIiNFQqF0U9ramrYBURfeeUV7gWM6+vrufdlOOmLycoGk6UYgYGBbGzO0jzl5eUm21hKYWGhVqvt3XP1ev3t27ctkoZlh89QWVmZyTaNjY1sbHiamcl6yQMAAAAAAAAAAABAf4QZZQAAAADAAjo6Oti486QsDx8+ZOOIiAjurm7evMndwNPTk42lUqnhZmdFRUXcvYWEhLDxrVu3wsPDudv/61//4m5gQVlZWWz8xRdfiMVik0/R6XRLlixh6oeOHz8+efLkvqdh2eEzdPXq1aSkJHbloy7dunWLjR955BHzO2dYL3kAAAAAAAAAAAAA6I8wowwAAAAAWEBeXh4bjx492uinKpWKjQ3ng+lMpVKdO3eOe19+fn5s3HmZJ0Nqtfry5csme2NnGTl58iT3FDVlZWXt7e3cHVqKRCIpKChg4okTJ5pTJUMI4fP5s2fPZuKSkpLW1ta+Z2LZ4TOkUCju3bvH0UCn0504cYKJ3d3dhw8fbn7nbEpsbNnkAQAAAAAAAAAAAKA/QqEMAAAAABiTy+WnTp3SaDRmtq+pqcnNzWU3O8/bYVjaUllZydFVenq6ycWGAgIC2DlITp8+zdHy6NGjer2euzdCyNKlS5lALpefPXu2u2Y0TR84cMBkb5Zy9epVNp43b575T3zqqafY2CLz31h2+Izs37+fY4wuXLjATlb03HPPcc890yWrJg8AAAAAAAAAAAAA/Q4KZQAAAACgC+np6cuXL8/KypLL5dwt6+rqUlJS2M2pU6eyE7SwRo4cycb79u3rshyBpumjR49mZ2ebzI3P50+fPp2JS0pKvv/++y6bXbp0KTMz02RvhJDZs2ez87UcOnTo9u3bXaZ34MCBsrIyczrsO5qmjx07xm6OGzfO/OeOGjXKzc2NibOysmia7mMylh0+Iw8ePNi7d2+XtTIFBQX79+9nYjc3t/nz5/e0c2Ll5AEAAAAAnJNwSMj4dy4OeiTa3okAAAAAAPQGCmUAAAAAoGtqtfqTTz5ZtmzZW2+9de3aterqaqVSyfyIpmm5XF5SUrJ79+61a9dKJBLmcQ8Pj40bN3buysPDY9q0aUxcVVWVlJRUUFDA9iaXywsKCpKTkzMyMgghS5YsMZnbihUr2Dg1NfXIkSNtbW1MRYhKpbp///62bdt2797N5/Ofe+45k70JBIJNmzaxm1u3bj148GBdXR1TvaFWq+/evZucnMysy7Nw4UKTHfbdgwcP2FWTpk2b5urqav5zeTzenDlzmFgqlfa9uMfiw8dasGABIeTixYt//OMf79y5o1arCSF6vb6hoSEtLe0vf/kL2zIlJaVHB8EGyQMAAAAAAAAAAABAfySwdwIAAAAA4Ohyc3MNV1bqjo+Pz/vvv89OzWJkw4YNBQUFzDI6tbW1hjUQhpKSkmJiYo4fP869r6FDhy5fvvzIkSPM5pEjR9jY0DvvvKNWq82ZVyYmJuall146ePAgs5mdnd3l/CIbNmwICQn58ssvTXbYR19//TUb/+Y3v+np02fNmsUuSvXVV1/98Y9/7GM+lh0+1pQpUyIjI999993y8nLDWiUjf/jDHyZNmtSLtBlWSh4AAAAAAAAAAAAA+iPMKAMAAAAAxsRicXp6ekJCQmBgoDntRSLRiy+++NFHH/n7+3P0efDgwdGjR3fXQCgUbtu2jZ0KxaRly5YlJiZ291M/P7/9+/ePGTPGzN4IIXPnzn377bfd3d27/KlAINi8efPTTz9tfoe9plarz58/z8QURUVFRfW0h0ceeUQkEjHx5cuX2QlUes3iw8eaPn36tm3bupstRiQS7dy5s4+z+FgveQAAAAAAAAAAAADodzCjDAAAAAB0wc/PLz4+Pj4+XiqV3r9//969exUVFQ8fPqyvr9doNEKhcNiwYUFBQWFhYTExMcHBwXw+32SfXl5e77333v379y9fvlxUVFRVVUUICQgIiIqKmjp1amxsrIuLi/kZUhQ1b968GTNmXLlyJS8v7969e3K53M/Pb+zYsTNnzoyJiTEnJSNjx4797LPP8vLybty4cfv27ba2Nm9v7/Dw8OnTp0+ZMkUoFPa0w965desWs4wUIWTmzJk9OiwM5uBkZWUxm3l5eTNmzOhjVpYdPkPjx4/PyMj4/vvvc3JySkpK2traPD09Y2NjH3vssSlTpvRiHG2ZPAAAAIAhN19P/8cimVgUPExEu9k3H5vyGkz0WqPHtFotIYRHDXLhdT3xJDiOscM81Dq67/38SFH6/8Teg0WjRvv1vU+wHl8vsbt7b1a5HexKEWKBEwYAAADALij2LXgAAAAAAACwuHXr1t28eXP9+vUJCQn2zsVxdXR0KJVKNzc3Dw8Pe+cCNiKTyRQKBRPzeLzBgwfbNx+wGbVaLZFIKIry9fW1dy5gIxqNpr29nd309vYWCPDlPWfR1NRECPHy8kJdsvNwd3eXy+VM/Oabb+7cudO++YDNSCQStVotEom6m6gVBh6pVKpSqZhYIBB4e3vbNx+wGaVS2dHRwefzfXx87J0L2IhKpZJKpezm4MGDeTwsXOMU9Hp9S0sLcYxBl8lkTzzxBCHk2LFjoaGhfewNZzAAAAAAAAAAAAAAAAAAAAAAOAV8ewMAAAAAwHndv38/JSWFiQ8cODBs2DD75gMAAAAAAAAAAAAAYFUolAEAAACAgWn58uVKpZKJs7KyzJwZsrW1lV0fJzY2dsuWLdbKz2HodDomwKqsAAAAABZXc+HWtT+8a+8s7Eav1xNCKIqiKMreuTiW8KciBkkecrdpnPmr05OCrJqGH3/wpVwLf0ag0urZ+MI39ztqT1i2fzApbvFg97GtTBzt6+7GazRq4FNYw2+p5+iBCo6johZZKz8AAAAAB4BCGQAAAAAYmHQ6HVsC0tMnMgHztj4AAAAAQK/plGpZlfGn1ABa6QhNQxN3G5Vc2aqSWzUNsdugeonWsn0aVt8r5ZqWJpll+weTFIpBlPY/Zw7toqM7jBrQailRtHB1ocaoAQAAwABn1tdqAQAAAAAAAAAAAAAAAAAAAAD6OxTKAAAAAAAAAAAAAAAAAAAAAIBTQKEMAAAAAAAAAAAAAAAAAAAAADgFFMoAAAAAAAAAAAAAAIC5lA0Pbm+e01FRZO9EAAAAAAB6A4UyAAAAAAAAAAAAAABgNpqmdVpC0/bOAwAAAACgNwT2TgAAAAAAoN9rbGzMycm5e/duSUmJTCYTCoWjR4+OioqKi4sbPnx4LzqkabqoqOjKlSs//vhjc3OzSCQaM2bMpEmTZsyYIRaLze9Hp9PdvHnzxo0bBQUFra2t3t7eY8aMiYuLe+yxx1xdXXuRmDXodLrCwsKcnJzi4uKGhgatVhsVFZWammrUjKbpysrKH3/8sbi4+KeffmppaREIBEFBQeHh4RMmTBg3blyPXlFDQ8PNmzd/+OGHBw8eNDU18Xg8f3//0NDQRx99NDY2NiAgwKIvEQAAAAAAAAAAAAAcBQplAAAAAAB6r729/d133y0sLDR8UK1W5+fn5+fn//Of/wwNDf3zn//MUXhRX1+fmJjIxDt27IiOjq6rq9uyZUtdXZ1hh7m5ubm5uQcOHEhOTn788cfNye3evXs7duyQSqXsI01NTU1NTTk5OW5ubps2bRo/frzJTq5evfq3v/2NiTMyMrjLdAoLC7ds2cLEaWlp/v7+Rg06v9jS0tIdO3ZIJBLDZhqNxnBTJpN9++23x48fN2qmVqtLS0tLS0u//vpriqLWr18/e/ZsiqK4X5FUKv3f//3f/Px8o8erqqqqqqq+++47QkhkZOQLL7wQHh7O3RUAAAAAAAAAAAAA9DtYegkAAAAAoJcKCwtXr15tVCVjpLy8/IUXXsjJyemuAU3Tuv8ghJSVla1bt86wSsao8fvvv5+dnW0ytwsXLrz++uuGVTKGVCrVtm3bmKIQbkbpmcQ2pruaht2ot/z8/Ndee82o/KWzlJSU9PR07mY0Te/fv3/79u16vZ6jWXt7+4svvti5SsbI3bt3k5OTFQoFdzMAAAAAAAAAAAAA6HcwowwAAAAAQG9UVFRs3ryZ3YyJiVm5cuXIkSNdXFy0Wm11dXVGRsb333/P/PSvf/3rzp07Y2JiuPssKirKzMykaToiImLlypWhoaEikYim6aampszMzHPnzjHNDh48OHXqVG9vb45+9uzZw24++eSTS5YsGTp0KI/HUyqVZWVlaWlpDx482LVr1+LFi3t/CPrm5s2bJ0+eJISEhYWtXr06LCyMebENDQ1d1hWNHDlywYIFkZGRvr6+IpGIEKLT6VpbW3Nzcz/55BOlUkkIuXXrVkZGxooVK7rb6fbt2+VyORNPnTp10aJFgYGBYrGYoii9Xt/R0cFMKsMeagAAAAAAAAAAAAAYYFAoAwAAAADQYzqdbvv27ezmmjVrfvvb37KbLi4uISEhmzdvPn/+/L59+5gHU1NTP/vsM1dXV45ujxw5QghZuXLl4sWL2SWEKIoKCAhISkoKDg4+fPgw82BWVtYf/vCH7nJLTU1lN998883JkyezmyKRKDo6+oMPPtizZ8+lS5eysrJ69MIt6MSJE4SQ+Pj4NWvWGL7YoUOHGpXvTJgwYdOmTUFBQUY9CAQCf3//Z5555qmnntqyZcvdu3cJIZmZmfPnz/fx8em8x+rq6rKyMib+3e9+t2zZMsOf8vl8Ly8vLy+vRx99NCEh4fTp0xZ6oQAAAAAAAAAAAADgQFAoAwAAAAAD36JFi9hSDG5dLhjU2aVLl5qbm5l4zpw5hlUyhmbPnl1fX5+ZmUkIUSqVWVlZy5cv5+551qxZS5Ys6fJH8+fPP3XqVGNjIyHk3LlzCQkJXb6oCxcuyGQyJk5ISDCskmHxeLyNGzdWVFSUl5dz52NVMTExhlUy3UlISOBu4ObmtnXr1lWrVqlUKkLI2bNnuzzO9+/fZ2PuqXREItHSpUu5d8rQ6XTt7e3cbZiTiqZp7mWhnByOkhMy+n2LoXce7NBj0J1H5+vdqUbfzNtLcDpmnRg4eaA3aIMzp3e/gWiapnv+ixq39E4It/ROC7f0TgjXu9Nix9oRBt2yOaBQBgAAAAAGPovfx3/xxRdsvGbNGo6WS5cuPXnypFarJYRkZWUtXbqUx+NxtO9unhhCCEVRixYtOnToECFEqVS2tLT4+vpy5CYSiRYsWMDRW1JSUnJyMkcy1paYmGhmAZNJYrF40aJFzJQ83RXKsLVNQqHQxcXFIvt98ODB888/z91m1KhRhBCFQtHS0mKRnQ5garUaR8k56fV6DL2zoWkag+60JBKJvVOwKalUau8UwBFptFqTbbRanbXT0Gq1hHDNeQn9kVbzy9ml1Wpd+MYN9DoT/yCrVCpZb/9MK5VKZmFccDZarRZ3d85Gp9Nh0J1WW1ubvVMAW3OEQZfL5UxgkXf7ud6jBwAAAACAzpqamphpXQghs2bNEovFHI1dXV2fffZZJlar1RUVFRyNY2NjPTw8OBpERkaycZdvRjQ3N7PlIPHx8Xx+p/dEDYSFhXl6enI0sKqAgIDAwEALdhgbG8sEra2tXb4zyx5bpVLJTroDAAAAAAAAAAAAAE4FM8oAAAAAwMB38uRJ7pIRVlNTk8mFfiorK9l4+vTpJvucMmXKiRMnmLisrCw0NLS7lpMmTeLuysvLi427rOI3LMSZOHEid28URc2cOfP06dPczaxkxowZlu3Q8OC0t7cLhUKjBuHh4Wz8zjvvbNq0ibvICQAAAAAAAAAAAAAGHhTKAAAAAMDAZ/76PubU01RXV7Px8OHDTbYfOnQoGz948MDMll1ydf1lXnS1Wt25QU1NDRsHBASYzI1ZFcguRowY0aP2NE1XVVUVFRXduXOnurq6rq5OpVIZNjCcclMikQwZMsSoh5CQkMDAQGb4CgoKli1bNn369Llz544aNQoVMwAAAAAAAAAAAABOAoUyAAAAAAA9U1tby8bmLF3k7u7OxoZFNp25ubn1JTHy37mZU/zh5+fXxz32mo+Pj/mN8/LyDh061NDQYGb7LquIKIravn37hg0bFAoF88i1a9euXbtGCPH19Z08efKkSZMiIyMNx8ukgICAnTt3crc5duwYIcTV1ZV7XS0np1QqNRqNi4tL56mAYKBSqVTspUpR1KBBg+ybD9iMVqtVKBQYdKei0+nYteQJIWKx2Myp/gYGiUhk7xTAEZlzFfD5PEdIA/odw2HtcogpnolTy8XFpRf/vCgUCq1W6+rq2vd/bKG/YP6PY2I+n4+voDgPjUajVCp5PF6P3kKBfo35P47dHDRokPnfS4R+jabpjo4O4hiDzvvPPYxFMkGhDAAAAABAz7BvAxFCBALTd9Q8g3chjSZBsTjDAhGeqXc/iSVKc3rNnEPHSEtLO3PmjEV2GhAQ8PHHH6enp58/f97w8ebm5uzs7OzsbELIxIkTV69eHRwcbE6HgwYNmjt3LnebU6dOEUIEAgHeL+ag0Wg0Gg2Px8NRch5arZaNKYrC0DsPiqKYN1gx6M7D8N6JEOLq6mr+bcAA4OLiYu8UwBGZc69OUVYvlLH7px1gDYZnF4/XxRCbHHY+ny/o+Z9p5r9dPp+PP/HOw/AtCNzSOxWapgkG3bm5urqaczMDAwA7h7cjDDr7VhIKZQAAAAAA7MDw0w6dTmeyveGSQNZ+B8FwbSa9Xm/yG6LWLtzpu8uXL7NVMjweb/78+VOnTh0+fLi7u7tAIKAoiv2/qKamJjEx0WSHYrH45ZdfTkhI+OGHH3JycnJzc40OQn5+fn5+/qJFi1atWoVPDgAAAAAAAAAAAAAGGBTKAAAAAAD0zJAhQ9hYKpWanGZWJpOx8fDhw62VFiHkv3OTy+VeXl7c7Zubm83vnPnCEAdzyoZ6RKfTHTp0iIk9PT337t3LsWBTj/YuFovj4uLi4uJomm5raysvL7969ep3333HdnLixIng4OBZs2b1JX8AAAAAAAAAAAAAcDSYEwkAAAAAoGeCgoLYuKamxmT7+vp6Nh45cqRVcvqPwMBANm5oaDDZvry8nLuB4Zw0JitRmpqaTO6xR2pqatgyo1deeYWjSob893E2H0VRPj4+EyZMePXVVzMzMxMSEtgfpaWlGc4GBAAAAAAAAAAAAAADAAplAAAAAAB6Jjg4mI2vX79usn1ubi4bjxo1yio5/UdISAgb37p1y2T7f/3rX9wNPD092VgqlXI3LioqMrnHHnn48CEbR0REcDe+efNmH3cnEAji4+Nnz57NbMrl8paWlj72CQAAAAAAAAAAAAAOBYUyAAAAAAA94+/v7+fnx8Tnz59XKpUcjTUazenTp5nY1dU1NDTUqrn5+fmx066cPHmSew6YsrKy9vZ2kx2y8c8//8zRUq1WX7582dxEzaNSqdjYcG6bLlueO3fOIjuNi4tjY5O1QQAAAAAAAAAAAADQv6BQBgAAAACgx5YuXcoENE1//vnnHC1PnjzJVnssXLiQx7P6HTibm1wuP3v2bHfNaJo+cOCAyd4CAgIoimJituKnS0ePHrX4QkWGZTqVlZUcLdPT07VarUV2ajiLzKBBgyzSJwAAAAAAAAAAAAA4CBTKAAAAAAD02FNPPcVO3HLq1Knu5jK5cuXKZ599xsRubm7PPfecDXKbPXu2WCxm4kOHDt2+fbtzG6ZKpqyszGRvfD5/+vTpTFxSUvL999932ezSpUuZmZm9TblbI0eOZON9+/Z1WQpD0/TRo0ezs7NN9nbs2LHCwkLuWXYUCsWnn37KxEKh0LBSBwAAAAAAAAAAAAAGABTKAAAAAAD0GJ/P/8tf/sJu7t+/PzU19cGDB0wlh06ne/jw4a5du95//322zRtvvCEUCm2Qm0Ag2LRpE7u5devWgwcP1tXVMdO9qNXqu3fvJicnM8U9CxcuNNnhihUr2Dg1NfXIkSNtbW00TRNCVCrV/fv3t23btnv3bj6fb/FKIA8Pj2nTpjFxVVVVUlJSQUEBu9aVXC4vKChITk7OyMgghCxZsoS7t59++mnz5s1Lly5NS0srKChoaWnRaDTMj3Q6XWtr6+XLl9euXdva2so8mJiYyM6mAwAAAAAALOGQkPHvXBz0SLS9EwEAAAAA6A2BvRMAAAAAAOiXwsLCtm/fvn37dqYA5fvvv+9uthVCyB//+McJEybYLLeYmJiXXnrp4MGDzGZ2dnaXE65s2LAhJCTkyy+/5O5t6NChy5cvP3LkCLN55MgRNjb0zjvvqNVqi88rs2HDhoKCgo6ODkJIbW2tYX2SoaSkpJiYmOPHj5vsUK1Wnzlz5syZM9zN5syZ8+tf/7oXCQMAAAAAAAAAAACAI8OMMgAAAAAAvRQbG/vxxx9HRERwtAkODk5LS5s5c6atkvq3uXPnvv322+7u7l3+VCAQbN68+emnnzazt2XLliUmJnb3Uz8/v/37948ZM6Y3iZoiFosPHjw4evTo7hoIhcJt27bNmTPHUnv08PB4/fXX169fj+lkAAAAAAAAAAAAAAYezCgDAAAAANB7Pj4+7777bkNDw7Vr14qLi+/evdvR0SEWi8eMGRMVFRUXFxcUFGSv3MaOHfvZZ5/l5eXduHHj9u3bbW1t3t7e4eHh06dPnzJli10uQgAAIABJREFUSo/WgaIoat68eTNmzLhy5UpeXt69e/fkcrmfn9/YsWNnzpwZExPD5/Ot90K8vLzee++9+/fvX758uaioqKqqihASEBAQFRU1derU2NhYFxcXc/pJSUlpbGysrKysqKj4+eefa2trGxsbFQqFXq/38vIKDg6OioqKjY0dPXo0j4dvFAAAAAAAAAAAAAAMTBRN0/bOAQAAAAAAYMBat27dzZs3169fn5CQYO9cHFdHR4dSqXRzc/Pw8LB3LmAjMplMoVAwMY/HGzx4sH3zAZtRq9USiYSiKF9fX3vnAjai0Wja29vZTW9vb4HAib68p5Up5TXN9s7CblpbWwkhHh4eTjXo5hAIKIGpYm+Nq0DmIbJqGjo9pVFbuEY8IshfIZcz8f/bmPKnlDct2z+Y5OpBXP7ztQgXHs3nGX8GxFeoKD3nB0MuIuLm2dP9SiQStVotEom6m9kUBh6pVKpSqZhYIBB4e3vbNx+wGaVS2dHRwefzfXx87J0L2IhKpZJKpezm4MGD8TUzJ6HX61taWohjDLpMJnviiScIIceOHQsNDe1jb/j/BAAAAAAAAAAAAMAqBO5Cz/BAe2dhN+omN0KIh5eXmVMAgiFXQmxRbmDpfRguX+ru4TpkOMqgHY/Y3gkAAAAA2BtKvQAAAAAAAAAAAAAAAAAAAADAKWBGGQAAAADor5RK5fLly5l4w4YNs2bN6u+7UyqV9+/fLyoqunfvXm1tbWtrq16vd3d3Dw4OfuSRRx555JHIyMghQ4ZQFGW6L0snZstDDQAAAADQd4q6lrv7T9k7C+sKCh1EdJqePssj0IWvkzGxIDJYP9RL4Wq8EE+HRnSridbq9T3tXEf/0tXNqvYDV8p72kMvLAhoGBExxQY7AgAAAICBAYUyAAAAMAAtX75cqVT29Fn+/v5paWnWyAesR6fTMYG+52/gOtTuamtrMzIyrly50vlHarW6tbW1oKCA2fTw8Hj++efnzJkjFAo7N7YeGx9qAAAAAIA+Uja0FaRm2DsL6xq0ZJS2vqGnzxLPHaGvucvE1KC5Wp/ADqrdqI1UPeJSjaJDo+pp5zr6l/8XfqiR1l+v6GkPvTAhphKFMgAAAABgPhTKAAAAwACk0+nYD/V79CxrJAPATaPRfPTRR9nZ2Wa2l0qlf//739PT059//vnnnnvO1dXVqukBAAAAAAAAAAAAAAwkKJQBAAAAgH+TSCSrVq1i4tdffz0uLs6++TgDqVSakpJSXV3NPjJs2LD4+PjIyEg/Pz+xWExRFE3TSqWysbGxqKjom2++qaqqIoTQNH306FE3N7clS5bYL30AAAAAAAAAAAAAgH4GhTIAAAAwwJ08eZLP59s7i36DnVaHpo2XqAeLk8vlL7/8cmtrK7Pp4+Pzpz/9KSoqyqgZRVFisXjkyJEjR4585plnqqqqPvzww8LCQpvnCwAAAAAAAAAAAADQ76FQBgAAAAY4iqLsnQJYi1AoPH36tL2z6CWaprdt28ZWyYwePTo1NdXNzc3kE0eMGJGampqXl/f+++9bOcdf9OtDDQAAAAAAltVaUZ2VsGn+7s1Dx42xdy4AAAAAAD3Gs3cCAAAAAADO6OLFiyUlJUzs5+f3P//zP+ZUybAmTZr08ccfBwcHWyc7AAAAAACA7tG0XquzdxIAAAAAAL2EQhkAAAAAAFvTaDQffvghu7lp0yZXV9eediIWiydPnmzRvAAAAAAAAAAAAAAABjgsvQQAAADQAzqd7ubNmzdu3CgoKGhtbfX29h4zZkxcXNxjjz3Wi0IHC6JpurKy8scffywuLv7pp59aWloEAkFQUFB4ePiECRPGjRtng/QaGxtzcnLu3r1bUlIik8mEQuHo0aOjoqLi4uKGDx/euz51Ol1hYWFOTk5xcXFDQ4NWq42KikpNTe1FV45wiFjXr19Xq9VMHBERER4ebrNd2xJN00VFRVeuXPnxxx+bm5tFItGYMWMmTZo0Y8YMsVjco650Ot2dO3du375dXFxcWVmp1Wp9fX2jo6N/9atfTZo0ycyxc6hzAAAAAAAAAAAAAADsAoUyAAAAAOa6d+/ejh07pFIp+0hTU1NTU1NOTo6bm9umTZvGjx9///79lJQU5qcHDhwYNmyYUSdXr17929/+xsQZGRnc5QKFhYVbtmxh4rS0NH9//85tZDLZt99+e/z4cYlEYvi4Wq0uLS0tLS39+uuvKYpav3797NmzKYrqckfr16+vra2laZp95N133+Xxuph9MDMzUyAwvodsb29/9913CwsLjRLIz8/Pz8//5z//GRoa+uc//zkgIIDjxdbX1ycmJjLxjh07oqOjS0tLd+zYYfS6NBoNGyuVyuXLlzPxhg0bZs2a1WXPFjlElnXq1Ck2XrJkicX7t/hpZvJQdx6+urq6LVu21NXVsW3UanVubm5ubu6BAweSk5Mff/xxc14LTdNnz55NT09XqVSGj9fU1NTU1Jw7d47P569du/Y3v/kNx9g54DkAAAAAAAAAAAAAAHaBQhkAAAAAs1y4cGHPnj3d/VSlUm3bti05OXn48OE63b9XajesO2HRNM02MAd3b4SQlJSUqqoq7k5omt6/f//169e3bNnSZfmLTqczysr8PJkyC+7G5eXlL7zwwp/+9Kdp06ZxJGnYSX5+/o4dO0zunX2KXq/vro1FDpEFqVSqsrIydnPs2LEW34XFTzNi6lAb7bGsrCw5Obm73miafv/992Uy2dy5c7kTk8vlW7ZsKS0t5U7+4MGDeXl5mzdv5vP5XbZxtHMAAAAAAAAAAAAAAOwFhTIAAAAAphUVFRlWyTz55JNLliwZOnQoj8dTKpVlZWVpaWkPHjzYtWvX4sWL7ZLhyJEjFyxYEBkZ6evrKxKJCCE6na61tTU3N/eTTz5RKpWEkFu3bmVkZKxYscKC+62oqNi8eTO7GRMTs3LlypEjR7q4uGi12urq6oyMjO+//5756V//+tedO3fGxMSY7PbmzZsnT54khISFha1evTosLEwkEtE03dDQkJOT07tU7XWIOquurmZjX19fd3d3q+7O9oqKijIzM2majoiIWLlyZWhoKDN8TU1NmZmZ586dY5odPHhw6tSp3t7e3fWjUqk2btxYX1/PbPr7+69atWrcuHGenp4URalUqtLS0sOHDz948IAQkp+fv2vXLnY+py45zjkAAAAAAAAAAAAAAPaCQhkAAAAAE3Q6XWpqKrv55ptvTp48md0UiUTR0dEffPDBnj17Ll26lJWVZeP0JkyYsGnTpqCgIKPHBQKBv7//M88889RTT23ZsuXu3buEkMzMzPnz5/v4+Bg1PnToECGkra1t5cqVzCOvv/76jBkzuHet0+m2b9/Obq5Zs+a3v/0tu+ni4hISErJ58+bz58/v27ePeTA1NfWzzz5zdXXl7vnEiROEkPj4+DVr1rDr4FAUNXTo0F6UIlnkEFlQTU0NG48aNcp6O7KXI0eOEEJWrly5ePFiw+ELCAhISkoKDg4+fPgw82BWVtYf/vCH7vrZs2cPWyUzb968F1980XDCGKFQOG7cuA8++ODAgQPnz58nhFy7dm3u3LnR0dGdu3K0cwAAAAAAAAAAAAAA7AWFMgAAADDALVq0iP2ontuBAweGDRvW+fELFy7IZDImTkhIMKySYfF4vI0bN1ZUVJSXl/cl215ISEjgbuDm5rZ169ZVq1apVCpCyNmzZ5cvX95lS8PlZsxZeubSpUvNzc1MPGfOHMMqGUOzZ8+ur6/PzMwkhCiVyqysrO4SMBQTE2NYJdMXFjxEFtHY2MjGwcHB1tuRHc2aNWvJkiVd/mj+/PmnTp1iDsK5c+cSEhK6HOWysrKrV68y8eTJk9etW9dlMx6Pl5SUVFpaWlFRQQjZvXv3Rx991Lml9c6B2trat956i7tNR0cHIUSpVLa3t5vTp3Nilu5Sq9U4Ss7DcL02mqYx9M6DWcIPg+5UjFZj7OjosMg9HvQjMpnMLoPO3IYNbBxL0HLQ6XSCX2KtTtvFsq1anY5jYVZHo9Np8WfF7rRaLSFEpVIxATgDw1t6nU6Hy9B5MH99MOhOxeiWQyKR4JbeSbA3hI4w6HK5nAl6dw9sBIUyAAAAMMCZf8/U3ZuAX3zxBROIRKIFCxZ093SKopKSkpKTk3uaoQ2IxeJFixYx83xYsAqEPTKEkDVr1nC0XLp06cmTJ5k3y7KyspYuXWqyECcxMdGWd95WOkRdMnwTYaBOW8IxTwxFUYsWLWImMVIqlS0tLb6+vp2bff7552y8ceNGjpOBoqgNGzYwl15jY+PDhw9HjBjRi5x7dw4oFAp2cbHuMPMG6fV6jUbTi8ScCk3TOErOCUPvnDDoTgsfoDohew26M5xsNOlNLYvhP7+0nu6yE7rrhx2UXo97CUeh1+st8tkV9Du4pXdOGHSn5Qx3WWDEEQbdsr9zUCgDAAAAwKW5uZmdNCU+Pt5w5ZfOwsLCPD09JRKJTVLrmdjYWKYCoLW1ValUCoXCPnbY1NTEzowya9YssVjM0djV1fXZZ59lFlRSq9UVFRWhoaEc7QMCAgIDA/uYYU9Z/BB1x/CGXiAwcUMukUhWrVrF0SA1NTUqKsoymVlIbGysh4cHR4PIyEg27rJQRqFQ5OfnM/ETTzzB3RshJCwsTCQSKRQKQsj169d7VyhDbHgOAAAAAAAAAAAAAIC9oFAGAAAABriTJ09yV7dwY9ZzYUycOJG7MUVRM2fOPH36dK93Zz1eXl5s3N7e3vcKgMrKSjaePn26yfZTpkxhCmUIIWVlZdyFMjNmzOhjer1g8UPUHRcXFzY2pxLfcCrjzhxwOvRJkyZxNzA81G1tbZ0bGF535pwMFEVFR0fn5uYSQkpKSszMkzsxq54DAAD/n707j2+qzBc//pwk3VK60VJ2Wsu+34qgLCoyWkYHrw4ugHMR7TjCAAXvcGX0h7KI3MF1VASGOhdXhoGiMAwKOF6pLIMUEEsLSFkEytqWljZtmv38/jh3zmTSNE3bNEmbz/vFH9+TPHnON89JDknPN88DAAAAAACAQKFQBgAAtHHNXL7n8uXLapycnNxge2WNFf+TZbm4uLiwsPDYsWOXLl26evWq2Wx2buA89XFVVVXHjh2bucdLly6pcZcuXRps36lTJzU+f/6858ZNnhHEA/8PUX1iY2PV2G2ZSGvnfKzdCg8PV2OLxVK3wcWLF9W4R48e3uy0e/fuSqHMyZMn62vTEq+BqKio2267zXObiooKIYRGo3GukYILu93ucDgkSWpwmiW0GcpBV2IOfUhxOBxKDShnxdAhy7JzcbBOpwv42vbwG2UyxUAd9FD4z0USUhMK550Ph6SRJOHm6Ejubw5SGo3EfysBZ7PZZFnWaDTN+bUSWhc+0ocsPtKHIPWgK/hIHzrUb3PBcNB9e87hPy0AAABPrly5osaeVxdSJCUltWQ67h08eHDNmjUlJSVetndbmtBYziPjXPlRn+joaDV2LrJxKyEhocmJuRWQIapPhw4d1Nh5Yh63YmNj685RtGXLlrVr1/o+Mx+JiIhoZg/FxcVqPGfOHI1GI/4xd44sy2oghHA4HEqgflc3GAyyLNf92tZCr4HOnTu/++67nttMnz5dCBEZGek8Yw1cVFdXm0ym8PDwBlfaQptRU1OjrJgmhJAkiTdI6LBYLFVVVRz0kGK1WisrK9XNdu3acSEtdJSVlQkhoqOjA3IhzdGunf936mcajcbRcCtXznUMWq1O1rkpa9BptQG/FuI9rVbHfysBV1VVZbFYIiIinL/+o20zGAzq70+0Wi1vw9BhMpmqq6s56CHFbDYbDAZ1MzY2Vvl7Hdo8h8NRXl4uguOgq18kfZIJX0oBAAA8cb5Y7s3Hr+aXCDRWdnb2tm3b/LxT8Y/fhiq8udThPHou03jU5dtrJ4Eaovo4T8Bz9uzZJvTQ5n+fp147F0KYTKbmdxhsrwEAAAAAAAAAQKBQKAMAAOCJ8xoxDoejwQKFBktAfCs3N1e9/K/RaCZMmDBy5MguXbpER0crcyGqPwG8fPnyjBkzfLhr55+EOk+8WR/nRW38WU4UwCGqT9euXdW4tLTUaDR6M1lRSPFtpVQQvgYAAAAAAAAAAIFCoQwAAIAnHTt2VGOj0djghKLXr1/3vnNlyRgPPBeg2O32NWvWKHFsbOyKFSs8rFjkTS1LoziPjMFgaHBq5ZqaGjV2nlKlRQV2iOoTGRmZlpamziVz/PjxW265peV218yXWUA4v7rWr1/fnIm7g/M1AAAAAAAAAAAIFBYPAwAA8MR58o+SkpIG2ze4ko7znDQNXpUvKyvzcO/ly5fV6pM5c+Z4uPwvhLh27ZrnfTVWt27dnDNpsL1zAikpKb5Npj6BHSIPHnjgATXOycnxef8+fJkFxE033aTGpaWlzekqaF8DAAAAAAAAAICAoFAGAADAk9TUVDX+7rvvGmy/a9cuzw1iY2PV2GAweG5cWFjo4d6LFy+qcb9+/Tx3dfjwYc8NXDQ4DUmPHj3UeP/+/Q12mJeXp8Y9e/ZsVDJN1qJD1ByjR49WVxc6ceJEUVGRb/v34cssIJzfd808LkH7GgAAAAAAAAAABASFMgAAAJ4kJSWpU1Bs3rzZ8+Qcp0+frqysbLBDNf7xxx89tLRYLLm5uR4amM1mNXaeQcRty507d3pOTAih0fzzw6HNZvPcuEOHDupz+fLLL00mk4fGVqt169atShweHp6WltZgMj7h8yHylfDw8KefflrdfPXVVy0Wiw/79+HLLCDi4uL69++vxBs3bmzw1ehB0L4GAAAAAAAAAAABQaEMAABAAyZNmqQERqNxx44d9TWTZXnVqlUN9pacnCxJkhKrtSNubdiwweFweGjgXAxx4cIFDy3Xrl3rTalBZGSkGnuz3o06MrIs/+lPf/LQcvPmzWq9wgMPPOBckdOifD5EPjR+/PhevXopcUlJyaJFi3xYK+PDl1mgPP7440pQW1v73nvvNbmfYH4NAAAAAAAAAAD8j0IZAACABmRkZOj1eiVes2bNkSNH6rZRqmROnz7dYG9arXbMmDFK/MMPPxw4cMBts6+//jonJ8dzVykpKWr87rvvur3GL8vyhg0btm/f3mBiQgidThcdHa3EBw8ebLD93XffrU63s2XLlvpm49i9e/cnn3yixBEREY888og3yfiEz4fIhyRJeumll9Q1ko4dOzZjxoxTp041+ECz2dzgYkk+fJkFysCBA9WnsH379rVr13qez0kIUVZW9vHHH9fU1DjfGMyvAQAAAKCVSrip29O713Ua0jfQiQAAAABNQaEMAABAA3Q63fPPP69uLlq0aPXq1VevXlXm4bBYLCdOnJg3b55SJvLAAw802OHUqVPVeNmyZevXr79x44Ysy0IIs9l86tSpxYsXv/XWW1qt1nNNSUxMzOjRo5W4uLh41qxZ+fn56hJIRqMxPz9/3rx569atE0I8/PDD3jzZcePGKcEPP/zw17/+1WAwKIm5pdVqX3zxRXVz5cqVy5YtO3/+vFKLYLfbL168+MYbb7z++utqm+eee8553pqW1hJD5EPt2rVbuXJlp06dlM2ysrJ58+bNnj37q6++Ki4urq2tVQffarVWVlYWFBSsXLny0Ucf3b9/f4Od++plFkBz587t3LmzEm/ZsmXq1Kmff/751atX1al3HA5HTU3N+fPnd+zY8cwzz2RmZubk5LhMkBPkrwEAAAAAAAAAgJ/pAp0AAABAy5o4caK6Bk2D/vCHP3Ts2LHu7UOHDv31r3+9evVqZXP79u1uJ5/IyspKTU39y1/+4nkvnTp1mjJlyvr165XN9evXq7Gz5cuXWywWzxN+ZGVl5efnV1dXCyGuXLniXLbibNasWUOHDt20aZPnxIQQDz744F//+lclfu+995QlbzQajTqGOTk5Ot0/P0P26tVryZIlS5YsUaoTDhw4UN/kJUKI3/zmN8OGDWswB9/y+RD5Vlxc3LvvvvuHP/zhq6++Um65cOHCO++8481jExISnn766QEDBri914cvs0CJiIh4++23ly5dWlBQIISorq5es2ZNE/oJ8tcAAAAAAAAAAMCfmFEGAAC0cQ6Hw+41D7On3Hvvvb/73e/UlYlc6HS6BQsW3HPPPV5mNXny5BkzZtR3b1JS0sqVK/v2bXgWa71ev3r16j59+tTXIDIycvHixePHj/cysQ4dOvz2t791KS1yHsO6D0lPT3///ff79evnodsePXpkZ2ePHTvWyzR8yOdD5HPh4eFz5sxZuXLlyJEjvXzIwIEDly1b9sEHH4wePdpDHZivXmYBFBkZ+fLLL7/wwgtxcXGeW0qSlJGRsWLFipiYGJe7gv81AAAAAAAAAADwG2aUAQAA8NbAgQM/+eSTgwcPfvvtt0eOHLlx40Z8fHzv3r3HjBlz2223NWpFIUmS7rvvvttvv3337t0HDx48efKk0WhMSkoaOHDg2LFjhw4dqtVqvewqLi7utddeO3XqVG5ubmFhYXFxsRAiOTl5wIABI0eOTE9PDwsLa9TTHD169J///Odvv/324MGD586du3r1qrKUkgcJCQmvvvpqSUnJ3r17jx8/fuLEierqar1e37dv3wEDBowaNapbt26NysG3fD5ELaF79+7PP/98bW1tUVHR0aNHi4qKrly5cv36dYfDERUV1aVLl9TU1G7duvXu3btnz556vd6bPn34MgsgSZJGjBjx0UcfXbhw4eDBg6dOnSoqKrpx44YQIjk5uXv37j179hwyZEifPn08HMdW8RoAAACAb0Umxw994T8CnUXLik9rJ+zWxj5K2zVMO/jm/4t7pEgRce3CHHVa6X/SRbbKdW9vwIeSRv0C+W9dY+4fldrYHpqgSwevviIBAAAACsnDz6YBAADQWKdOnZo3b54S/+EPf+jSpUtg8wEQcNOnTz98+PDMmTMzMzMDnUvwqq6uNplMERERdecEQltVU1NTW1urxBqNpn379oHNB35jsViqqqokSUpMTAx0LvATq9VaWVmpbsbHxzsv5Ym2raysTAgRFxdHXXLoiI6ONhqNSvzCCy8sXbo0sPnAb6qqqiwWS1RUVH1z8aLtMRgMZrNZiXU6XXx8fGDzgd+YTKbq6mqtVpuQkBDoXOAnZrPZYDCom+3bt9doWLgmJDgcjvLychEcB72mpubOO+8UQmzcuDEtLa2ZvfEKBgAAAAAAAAAAAAAAQEjg1xsAAAAAWoTJZJoyZYoSZ2VljRs3rvXuBQAAAP5RU1xqrzX7sMPwSI1Gqv9ujdB0CeTsF7KQy00tviKqwy5ZLH760azzDPbVBvPVy1VKHBErEoTRPzl4JTpZSPyQGAAAIERRKAMAAAAEgNVqffTRR33V27p16/R6va968yG73a4EDoejte8FAAAAfrDnyVeufH3Ehx2OfrS37crV+u7VdU6IWXubD3fXWA6H9qUjLf5Jvlt45y25csPtfMFs++dn8tydZ8rP/UWJx09Pnmza4J8cvKH52TsivF2gswAAAEBgUCgDAAAABIZa3gEAAAAAAAAAAPyDqQUBAAAAAAAAAAAAAAAQEphRBgAAAAiAsLCwrVu3emiQm5v75ptvKvHs2bMzMjL8khcAAAAAAAAAAG0ZhTIAAABAMNJoNG7jViQyMtJzMVAr2gsAAAAAlank/Im3n+79qzfapQ4KdC4AAABAo7XKP7gDAAAAAAAAAIDAkGXZbhOyHOg8AAAAgKZgRhkAAABf6t27N5NbAAAAAAAAAAAABCcKZQAAAAB4IstyYWHh7t27jx49ev369aioqL59+w4fPvz222/X6/W+2ktJScnhw4e///778+fPl5WVaTSaDh06pKWlDRo0KD09PTk5ufm7kGX5woULR48ePX78+JkzZ8rLy3U6Xbdu3Xr37j1s2LAhQ4aEh4c3fy8AAAAAAAAAgGBGoQwAAADQiu3Zs+fNN99U4nXr1nmuXCkoKFi4cKESZ2dnd+jQwaXBtWvXZsyYocQvvfTS4MGDr169unDhwqtXr6ptLBZLXl5eXl7eqlWr5s2bd8cdd9S3O5PJNGXKFCXOysoaN26c22YGg+H3v//9oUOHXG4vLi4uLi7+5ptvhBD9+/d/6qmnevfu3bS91NTU/O1vf9u0aVNVVZXz7RaLpaioqKio6PPPP5ckaebMmRkZGZIk1feMAAAAAAAAAACtHYUyAAAAQCsmy7Ldbve+vdpYluUGezt9+vS8efPctlQav/766zU1Nffee2+Du3M4HG4bVFZWTp8+3Wg0ek77xIkT8+bN27BhQ1RUVBP2Mn/+/OLiYs+7kGV55cqV+/fvX7hwoUaj8dwYAAAAAAAAANBKUSgDAAAAwI3CwsKcnBxZlvv16/f444+npaVFRUXJslxWVpaTk7Nz506l2erVq0eOHBkfH9+0vSxZskStkhk5cuTEiRO7du2q1+slSXI4HNXV1cqkMurumiMlJeX+++/v379/YmKiUnBjt9srKiry8vI+/PBDk8kkhPjuu+/WrVs3derU5u8OAAAAAAAAABCEKJQBAAAA4Mb69euFEI8//vhDDz2krkYkSVJycvKsWbN69Ojx3nvvKTd++umnv/zlL5uwi0uXLp0+fVqJH3vsscmTJzvfq9Vq4+Li4uLiBg0alJmZuXXr1iY/l2HDhj3//PPdunVzuV2n03Xo0OFnP/vZ3XffvXDhwhMnTgghcnJyJkyYkJCQ0OTdAQAAAAAAAACCFoUyAAAAANwbN27cww8/7PauCRMmbNmypbS0VAixc+fOzMxMtZjGe6dOnVLjhx56yEPLqKioSZMmNbZ/VWZmpucGERERixYtmjZtmtlsFkLs2LFjypQp3vRsMBj27NnjuY3FYhFC2Gw2pXO4payf5XA4GKXQ4bzQmyzLHPrQYbPZlICDHjpclom0WCyNWjgSbYDVaq1vicy6vG/ppfoWEg0pssMhRKM/rvuWQ/YON/H0AAAgAElEQVTxkW0mi8Uiy/xP5EvKm9dut/NffOhwPmPzkT6kKB/pOeghRf0ep7BYLE34SyBaI/WzdDAcdPWc45NP+BTKAAAAAHDPwzwxkiRNnDhxzZo1QgiTyVReXp6YmNjY/q9fv64EkZGRYWFhTc7TJ/R6/cSJE5V5dLwvlCktLV24cKHnNj179hRCWCwWg8HQ/DzbNqvVarVaA50FAkCWZd4goYaDHsrUVRcROhp10H1eRyV7rLwJkTIau90e8GsBwVYhV11d7dAFV+1O22CxWJSfCiDU2O12Pt2FGofDwUEPWdXV1YFOAf4WDAdd/Vrhk8/wmuZ3AQAAAKDtSU9Pj4mJ8dCgf//+alxeXt6EXaj9m0ymmpqaJvTgW+np6UpQUVFhMpkCmwwAAAAAAAAAoCVQKAMAAADAjeHDh3tuEBcXp8Y3btxowi569+6txsuXLw/478udn1FlZWUAMwEAAAAAAAAAtBCWXgIAAADgRqdOnTw3CA8PV+Omza2dmpratWvXS5cuCSHy8/MnT548ZsyYe++9t2fPnnq9vgkdeibLcnFxcWFh4bFjxy5dunT16lWXtbSdl1evqqrq2LGjz3MAAAAAAAAAAAQWhTIAAAAA3IiIiGjpXUiStGTJkqysrNraWuWWvXv37t27VwiRmJg4YsSI4cOH9+/fPzo6uvn7Onjw4Jo1a0pKSrxs72XpT0pKypdffum5zXPPPSeEiIqKat++vZd7D0E1NTVmszk8PLxdu3aBzgV+YjQa1TXONBpNfHx8YPOB31itVoPBIElSQkJCoHOBn9hstqqqKnUzNjZWp+NvkqFCWaAzJiYmLCzMy4f4/OWh0Woc9d8rSZJvdxecguFNp9PphC3QSTiJj48X4Xzy9CWDwWC1WiMjI1viZw8ITtXV1ep3Z51OFxsbG9h84Ddms7mmpobvcSHFYrFUV1erm/Hx8RoNC9eEBIfDoUwlHgwHXf17tU8yCfznYwAAAAAhKzk5+f3331+7dq1Lucn169e3b9++fft2IcQtt9zyxBNP9OjRo8l7yc7O3rZtW3NzdUer1TZY/qJcfZEkKeBfJoMZoxSCXC5McuhDh3roOeiho+77naMfahp10FugciUkSmEaIElCyAFOIcgOhEajEZyLfIqP9CGIj/Qhi/d7COIjPYLhoPs2AQplAAAAAASSXq+fPXt2Zmbm999/v2/fvry8PJcVkQ4dOnTo0KGJEydOmzatCRdOcnNz1SoZjUYzYcKEkSNHdunSJTo6WqfTSZKk9nn58uUZM2Y0/xkBAAAAAAAAAIIWhTIAAABAGyHLDfxI1G63+yeTJtDr9aNGjRo1apQsyzdu3Dh79uyePXu++eYbNefPPvusR48e48aNa1S3drt9zZo1ShwbG7tixQoPK30E8/gAAAAAAAAAAHyCOZEAAACAVkyr1apxg3UeZWVlLZyOD0iSlJCQMGzYsGeeeSYnJyczM1O9Kzs72+FwNKq3y5cv19TUKPGcOXM8VMkIIa5du9aEhAEAAAAAAAAArQiFMgAAAEArFhsbq8YGg8Fz48LCwhZOx8d0Ot2DDz6YkZGhbBqNxvLy8kb1cPHiRTXu16+f58aHDx9ubIYAAAAAAAAAgNaFQhkAAACgFUtKSlLjH3/80UNLi8WSm5vb4gm1gFGjRqlxg8VALsxmsxo7z77jtuXOnTsbmxsAAAAAAAAAoHWhUAYAAABoxZKTkyVJUuKtW7d6aLlhw4bGrlsUJJxnkWnXrl2jHutcSHThwgUPLdeuXWuz2RqbGwAAAAAAAACgdaFQBgAAAGjFtFrtmDFjlPiHH344cOCA22Zff/11Tk6OH/PyysaNGwsKCux2u4c2tbW1H3/8sRJHRkY6F754IyUlRY3fffddt6Uwsixv2LBh+/btjeoZAAAACFmRHVNvXv6/7W4aHOhEAAAAgKagUAYAAABo3aZOnarGy5YtW79+/Y0bN2RZFkKYzeZTp04tXrz4rbfe0mq1jzzySODSdOPMmTMLFiyYNGlSdnZ2fn5+eXm51WpV7rLb7RUVFbm5uU8//XRFRYVy44wZM9Tpc7wUExMzevRoJS4uLp41a1Z+fr7JZFJuMRqN+fn58+bNW7dunRDi4Ycf9s0TAwAAAAAAAAAEK12gEwAAAADQLJ06dZoyZcr69euVzfXr16uxs+XLl1ssliCcV8ZisWzbtm3btm2em40fP/6uu+5qQv9ZWVn5+fnV1dVCiCtXrrz44otum82aNWvo0KGbNm1qwi4AAAAAAAAAAK0FM8oAAAAArd7kyZNnzJhR371JSUkrV67s27evP1PyoZiYmGeffXbmzJmNnU5GodfrV69e3adPn/oaREZGLl68ePz48c3IEQAAAAAAAADQOjCjDAAAANDqSZJ033333X777bt37z548ODJkyeNRmNSUtLAgQPHjh07dOhQrVYb6BzdmD9/fmlp6YULF86dO/fjjz9euXKltLS0trbW4XDExcX16NFjwIAB6enpffr00WiaVeIfFxf32muvnTp1Kjc3t7CwsLi4WAiRnJw8YMCAkSNHpqenh4WF+eg5AQAAoFkik+OjeyT7sENtfJzksNd3r6Z9jFZq58PdNZYkadtHRLX0XvSa8E6xTSk6bwLn3UTpwxI7RCtxZFSY0CT6Jwfv+GlAAAAAEIQkWZYDnQMAAAAAtFnTp08/fPjwzJkzMzMzA51L8KqurjaZTBERETExMYHOBX5SU1NTW1urxBqNpn379oHNB35jsViqqqokSUpMDKrLpWhBVqu1srJS3YyPj9fp+PFeqCgrKxNCxMXFUZccOqKjo41GoxK/8MILS5cuDWw+8JuqqiqLxRIVFRUdHR3oXOAnBoPBbDYrsU6ni4+PD2w+8BuTyVRdXa3VahMSEgKdC/zEbDYbDAZ1s3379s38VRtaC4fDUV5eLoLjoNfU1Nx5551CiI0bN6alpTWzN17BAAAAAAAAAAAAAAAACAn8egMAAABAa2UymaZMmaLEWVlZ48aNC2w+AAAAAAAAAIAgR6EMAAAAEFysVuujjz7qq97WrVun1+t91VsQstvtSuBwOAKbCQAAQKu254lXKn+44Ns+bTabEEKr1UqS5NueW8KAcSlSeWl993ae2DM8vN57vWHuNaAm6V+meP+xKvGry7XN6bOuKE3Ed9+3822fjWKxy2pcbDz39aUdAUwm2MRHJNycdGugswAAAACFMgAAAEDwUYs/AAAAAP+oKPzx+nenAp1FINn6R9rOnqnvXskUJ2p+bE7/dnt3q8PsfEuVNfycobI5fdYVF6Y/diWQFeQO+Z+FMiZHbbn5egCTCTYaSRvoFAAAACCEEJqGmwAAAAAAAAAAAAAAAACtHzPKAAAAAMElLCxs69atHhrk5ua++eabSjx79uyMjAy/5AUAAAAAAAAAQKvHjDIAAABAK6PRaNzGAAAAAAAAAADAM/6qDgAAAAAAAAAAvGUqOX9kwfjqc4WBTgQAAABoCgplAAAAAAAAAACA12RZttuELAc6DwAAAKApdIFOAAAAAEAokmX5woULR48ePX78+JkzZ8rLy3U6Xbdu3Xr37j1s2LAhQ4aEh4cHOkcAAAAAAAAAQFtDoQwAAADQBu3Zs+fNN99U4nXr1un1eg+NCwoKFi5cqMTZ2dkdOnRwvnfbtm3/8z//o8Tvvvtu165dG9y73W7/xS9+YTabhRB9+vR55ZVXnO+tqan529/+tmnTpqqqKufbLRZLUVFRUVHR559/LknSzJkzMzIyJElqcHce+HAcAAAAAAAAAABtAEsvAQAAAG2QLMv2f/CmvdpYrjN9+u23367eu3PnTm96O378uNFoVB7y0EMPudw7f/78tWvXulTJ1M1/5cqVS5YscTgc3uzRQz++GgcAAAAAAAAAQBvAjDIAAAAAPImLixs8eHBBQYEQYtu2bdOmTdNqtZ4fsnnzZiXQaDTp6elu26SkpNx///39+/dPTEyMiooSQtjt9oqKiry8vA8//NBkMgkhvvvuu3Xr1k2dOtWXzwcAAAAAAAAAEMKYUQYAAABAA9RZYWw229GjRz03NhgMhw4dUuKf/vSnYWFhLg2GDRu2atWqFStWZGRkdO/eXa/XS5IkSZJOp+vQocPPfvazjz/+uH///krjnJyciooKnz4bAAAAAAAAAEDoolAGAAAAQAOGDh2qziLz2WefeW68b98+Nb733nvrNsjMzOzWrZuHHiIiIhYtWhQREaFs7tixo3HpAgAAAAAAAABQD5ZeAgAAANAArVZ7//33b9myRQiRn59fVVUVGxvrtqUsyzk5OUqclJTUo0ePpu1Rr9dPnDhx/fr1QogdO3ZMmTKlaf20tLNnz06aNMlzm7S0NCGE0WgsKyvzS1KtmNlsNpvNgc4CAeBwOHiDhBpZljnoIevGjRuBTgHu2Wy2QKcQYJ5HwGq1hjXvZ6c2m7VRe2wah8Ph8z7hK1artc3/91dbW1tbWxvoLBAANputzb+84cJut3PQQ1Z5eXmgU4C/BcNBNxqNSuCTT7zMKAMAAACgYePHj1fjPXv21Nfs4sWLpaWlSvzoo49KktTkPaanpytBRUWFyWRqcj8tTW5IoBMEAAAAAAAAAPwThTIAAAAAGta1a9fOnTsr8caNG+ur//jiiy/UeMyYMc3ZY1xcnBpXVlY2pysAAAAAAAAAABQsvQQAAADAK5MmTXrrrbeEEBUVFefPn09NTXVpYLVat2/frsS33HJLu3btPPQmy3JxcXFhYeGxY8cuXbp09epVlzV3nKfQrKqq6tixo0+eBQAAAAAAAAAglFEoAwAAAMArt912mxpv377917/+tUuD/Px8tbrl5z//uYeuDh48uGbNmpKSEi93bbFYGpOp/7Rv337u3Lme23z11VdCiLCwsOjoaL8k1SqZzWabzabT6SIiIgKdC/zEYrFYrVYlliRJr9cHNh/4jd1uN5lMHPSQohx0dTMqKkqjYZbrYMRx0Wg0jvrv1Wq0ze5fK4TjX2/x/Zg3Z/FTtDStVtuGvxSYTCa73R4WFhYeHh7oXOAnyvc4JdZoNFFRUYHNB35js9nMZjMHPaQoB13d1Ov1fOQIEbIsG41G0RYPOoUyAAAAALyi1+tHjx69b98+IcSOHTueeuqpsLAw5wY5OTlKEBkZOWDAgPr6yc7O3rZtW4um6jfx8fFTp0713Gbv3r1CiLCwMP5+5IHdbrfZbFqtllEKHQ6Hw7lQhkMfOiwWi1IzwUEPHVar1blQJiIiQqfjb5LBiEIZz4UyGq1G2Jvbf4O3NF8bu4DRxrTti8pWq9Vut+t0ujb8HOHCZrNRKBOaTCaT2Wzme1xIMZvNzoUykZGRfHQMEQ6HQymUCYaDrv5E0yeZ8KUUAAAAgLceeOABpVBGluUjR46MGDFCvauiouLEiRNqM63W/S9uc3Nz1SoZjUYzYcKEkSNHdunSJTo6WqfTSZKk/mX/8uXLM2bMaMEnAwAAAAAAAAAIPRTKAAAAAG2cLMueG9jt3v42tm/fvtHR0TU1NUKIjRs3OhfKfPPNN2p8zz331LejNWvWKHFsbOyKFSsSEhKan5WXfDgOAAAAAAAAAIBWijmRAAAAgDbIeUKXBus/ysrKvOxWkqSJEycqcVFRUUVFhRLLsrxp0yYlTklJSU5Odvvwy5cvK0U2Qog5c+Z4qJIRQly7ds3LrDxooXEAAAAAAAAAALRSFMoAAAAAbVBsbKwaGwwGz40LCwu973ncuHFqvGvXLiU4c+ZMVVWVEj/66KP1PfbixYtq3K9fP887Onz4sPdZ1aflxgEAAAAAAAAA0BpRKAMAAAC0QUlJSWr8448/emhpsVhyc3O97zkxMbFPnz5K/OmnnyrrGW3btk1t4Lwekwuz2azGznO9uG25c+dO77OqT8uNAwAAAAAAAACgNaJQBgAAAGiDkpOTJUlS4q1bt3pouWHDBofD0ajOH3nkESUwGAynT582m81ff/21cstPfvKTiIiI+h7oXLZy4cIFD7tYu3atzWZrVFZuteg4AAAAAAAAAABaHQplAAAAgDZIq9WOGTNGiX/44YcDBw64bfb111/n5OQ0tvObb75ZrT7Ztm3bwYMH1bsmTJjg4YEpKSlq/O6777othZFlecOGDdu3b29sVm616DgAAAAAAAAAAFodCmUAAACAtmnq1KlqvGzZsvXr19+4cUNZKclsNp86dWrx4sVvvfWWVqtVZ4jxUlhY2E9/+lMl3rVr1wcffKDEcXFxaWlpHh4YExMzevRoJS4uLp41a1Z+fr7JZFJuMRqN+fn58+bNW7dunRDi4YcfblRW9Wm5cQAAAABCU2TH1JuX/2+7mwYHOhEAAACgKXSBTgAAAABAi+jUqdOUKVPWr1+vbK5fv16NnS1fvtxisTR2PpX77rtPnfSlpKRECR599FF1ppn6ZGVl5efnV1dXCyGuXLny4osvum02a9asoUOHbtq0qVFZudWi4wAAAAAAAAAAaF2YUQYAAABosyZPnjxjxoz67k1KSlq5cmXfvn2b0HOPHj2SkpJcbrzjjjsafKBer1+9enWfPn3qaxAZGbl48eLx48c3Iav6tNw4AAAAAAAAAABaF2aUAQAAANosSZLuu+++22+/fffu3QcPHjx58qTRaExKSho4cODYsWOHDh2q1Wqb3POjjz66atUq9ZbBgwfHxcV589i4uLjXXnvt1KlTubm5hYWFxcXFQojk5OQBAwaMHDkyPT09LCysaVl5yLaFxgEAAAAAAAAA0LpIsiwHOgcAAAAAaLOmT59++PDhmTNnZmZmBjqX4FVdXW0ymSIiImJiYgKdC/ykpqamtrZWiTUaTfv27QObD/zGYrFUVVVJkpSYmBjoXOAnVqu1srJS3YyPj9fp+PFeMLp+uMhaXevbPpVDHx0d3SoOenSMTlv/DOwRSTptZLP6t0dG2PURzrdUW7Rl5mb1WZcsi2pDuI87bYwxfbuaao1K/Jvnf/Pcwt8GMJlgE6YJiw9PCHQWLaWqqspisURFRUVHRwc6F/iJwWAwm//vLKbT6eLj4wObD/zGZDJVV1drtdqEhDZ7ToMLs9lsMBjUzfbt22s0LFwTEhwOR3l5uQiOg15TU3PnnXcKITZu3JiWltbM3lrB9xMAAAAAAAAAQItKHFbv4phNpisrE0LExcX5fMrA1kgrhMs0hu0jRfvmFd+4F9BL1Rrpn7Feq+8QmRy4XAAAAAD3KPUCAAAAAAAAAAAAAABASGBGGQCAj5lMpilTpihxVlbWuHHjAptPizp16tT8+fOVeNWqVZ07dw5sPp5xaEJZSA3ItWvXZsyYocQvvfTS4MGDA5tPGxA6Z4+QeqcAAACg1bFdr6javd/tXec79TgVERSLntgdshpLlefls19LnYYIfVIAUwIAAABcUCgDAD4wZcoUk8mkxJ9++qmXq/RVVFRkZmYqcXp6+sKFC1sqP7+z2+1K4HA4ApuJH6hPVpZlzy09a9qrqLE4NKHMhwPi/HJ1S6/Xd+vW7aabbrr55psHDRqk1+ubucdGkWVZfbKhgLOHb3HqAAAAQNCyXL569a1st3ftfvjJj4wxfs7HLatToYy2tFDO/0REzZEolAEAAEAwoVAGAHzAbrc37aJs6Fx3RIOa/CoC/K/Bl6vBYDhx4sSJEye++OILIcR99933xBNPREZG+ivB0MLZAwAAAAAAAAAA77XI700BAAAA1RdffPHUU09VVlYGOhEAAAAAAAAAABDqmFEGAAAATbd582atVut8iyzLNpvt+vXrf//73z/55BObzSaEqKqqmj9//urVq1toYSAAAAAAAAAAAABvcKECAAAATSdJUt1bwsLCOnXqNHHixLVr10ZFRSm3X7lyJS8vz+8JAgAAAAB8yVRy/siC8dXnCgOdCAAAANBEFMoAAACgpcTHx8+dO1fd/OabbwKYDAAAAADAB2RZttuELAc6DwAAAKCJKJQBAABACxo8eLAaFxQUBDATAAAAAAAAAAAAXaATAAA0Tmlp6b59+06cOPHDDz/U1NRERkb26dNnwIABo0aN6tKlS6CzazRZli9cuHD06NHjx4+fOXOmvLxcp9N169atd+/ew4YNGzJkSHh4eNO6LSws3L1799GjR69fvx4VFdW3b9/hw4fffvvter3e+37sdvvhw4e//fbb/Pz8ioqK+Pj4vn37jho16tZbb21aYr5SUlJy+PDh77///vz582VlZRqNpkOHDmlpaYMGDUpPT09OTm7+Ljg0dTNviQERPhqToH2tCiGcn4XZbG6wfcsNdXPY7fZjx44dOXLk+PHjFy5csNlsiYmJgwcP/rd/+7fhw4c3ISW73V5QULBv377jx4+XlJTYbLYBAwYsW7asJZJXtd5ThwiBdwoAAAAAAAAAwD8olAGAVqOysvLVV191mY/BYrEcOnTo0KFDH330UVpa2v/7f//P7ZVOk8k0ZcoUJZ4zZ85dd93ldhe7du165513lFiSpJycHK1WW7eZLMuPPfaYyWQSQjz44IPTpk1rwtOpqan529/+tmnTpqqqKpdnVFRUVFRU9Pnnn0uSNHPmzIyMDEmS6uvn2rVrM2bMUOKXXnpp8ODBV69eXbhw4dWrV537zMvLy8vLW7Vq1bx58+644w5vMjx58uRLL71kMBjUW8rKysrKyvbt2xcREfH888/ffPPNjXvOvmAwGH7/+98fOnTI5fbi4uLi4mJlXZv+/fs/9dRTvXv3btouODQufDUgosXGJDhfq6ra2lo17tq1q4eWPhxqL1VUVPz2t78tLS1VNrOyssaNG+fSRpblHTt2rF271qXK5/Lly5cvX965c6dWq3366ad/+tOf1pdS3eNeVFT00ksvuTxNq9Xa/GdUn1Z06hCh+k4BAAAAAAAAAPgHSy8BQOtQUFDwxBNPeF615OzZs0899dS+ffvq3hUZGdm1a1e73W632/fs2VNfD3v27LH/g81mu3jxottmpaWlNTU1SrNhw4Y19rko5s+fv3btWpfrqS5kWV65cuWSJUscDoeHNmrOQojTp09Pnz7d+WKqS+PXX399+/btDab31VdfPfvss87XU52ZzebFixcrl5b9qbKy8le/+lXdS90uTpw4MW/ePOfqhEbh0Ljw1YCIlhmT4HytOjt+/Lga33rrrR5a+nCovXHu3Dll/O12uyzLL730Ut0qGaPR+Oyzz65evdrDXDh2u3316tVLly5VDqvbnJ2P+6FDh/7rv/7L89P0rdZ16hCh+k4BAAAAAAAAAPgHM8oAQCtw7ty5BQsWqJtDhw59/PHHU1JSwsLCbDbbpUuX1q1bd+DAAeXeV155ZenSpUOHDnXpZOzYsR999JEQ4tChQ3a7ve5UMXa73eUy6pEjR1JSUurmU1hYqMa9evVqxjMTKSkp999/f//+/RMTE6OiopQ0Kioq8vLyPvzwQ2XSmu+++27dunVTp05tsLfCwsKcnBxZlvv16/f444+npaVFRUXJslxWVpaTk7Nz506l2erVq0eOHBkfH++hH3VmHSHET37yk4cffrhTp04ajcZkMp0+fTo7O/v8+fNvvPHGQw891Jyn31hLliwxGo1KPHLkyIkTJ3bt2lWv10uS5HA4qqurlZkh1GfaHBwaF74dEOGjMQna16rKYDC8/fbb6uY999zT4EN8PtRu5eXlvfzyy0ocHR39+uuv153txmw2z50799q1a8pmhw4dpk2bNmTIkNjYWEmSzGZzUVHRe++9d/78eSHEoUOH3njjjfnz53ve7+HDhzdv3iyE6NWr1xNPPNGrVy/luJeUlLgtc/SJ1nvqECHzTgEAAAAAAAAA+A0zygBAsLPb7UuWLFE3n3zyyaVLl/bu3Ts8PFySpLCwsNTU1AULFsyePVtts2zZMovF4tKP84oSxcXFdXdUd/6Y3Nxctynt3btXCVJSUiIjIxvxZJwMGzZs1apVK1asyMjI6N69u3LJVpIknU7XoUOHn/3sZx9//HH//v2Vxjk5ORUVFQ32uX79epvN9vjjj7/yyiuDBg1S+tRoNMnJybNmzfrVr36ltvz000/r68Ruty9btkzdfOGFF+bOndu1a1etVitJUlRU1ODBg99++21l5gkP/fjcpUuXTp8+rcSPPfbY888/37dv33bt2mk0GkmStFptXFzcoEGDZs2atWHDhl/84hdN3hGHxkVLDIjwxZgE7WtVya2srOyLL7546qmn1Dk8Zs6cmZSU5OFRLTTUdW3evFmtkunSpUt2drbbNaHeeecdtUrmvvvuy87OvuOOO+Lj45U3XWRk5JAhQ95+++2MjAylzd69ez3P+yWE+Oyzz2RZfvDBB994440hQ4aox71Tp04tVKLRqk8doq2/UwAAAAAAAAAA/seMMgDgYxMnTpQkyZuWsix70+zrr7++fv26Eo8fP/7nP/+522YZGRnXrl3LyckRQphMpk8//XTKlCnODZznhjly5EhqaqpLD0eOHFG7+vLLL4UQZ8+eNZlMLqUwzhPPjB071pun4FZmZqbnBhEREYsWLZo2bZqy4smOHTtcnpFb48aNe/jhh93eNWHChC1btpSWlgohdu7cmZmZ6fZIffXVVzU1NWqSI0aMqNtGo9HMnTv33LlzZ8+ebTAlXzl16pQae76gHhUVNWnSpCbviEPjooUGRDR7TILktVr3pFd3BaLu3btnZWX169fPc1ctN9Qqh8OxevVqdRqSwYMHL1q0KDw8vG7L06dPqwvVjRgxYvr06W5flhqNZtasWUVFRefOnRNCvPXWW3/84x89/y8wdOjQJ5980sv/KZqvtZ86RNC/U0pKSlatWuW5jTKjj9lsrm/tJwghbDabEMJqtTJKoUM56ApZljn0oUNZgI+DHlJcVl00Go1++yyEIGE0GjUafrHpA+Z/TBVZV31LwQaD2tpaO+f8EKB8urNYLM1fKxmthfNHervdzqe70KH8p9HKgaYAACAASURBVONwODjoocPl3F5dXc1H+hChXsoMhoOuzpvukw8bFMoAgI/5/Kvgn//8ZzV+8sknPbScNGnS5s2ble8nn3766aRJk5z/DqXVaocOHZqfny+E2LVrV92CG3X+mPHjx5eWlip1M2fOnBk4cKBzM+fZaJxnqWkJer1+4sSJ69evF15fUv3lL39Z312SJE2cOHHNmjVCCJPJVF5enpiYWLeZOuBRUVH333+/h95mzZo1b968BlPyFbVeKjIyMiwszG/7dYtD46IJAyKaPSZBMiANnvTGjx//5JNP6vV6n+yuaUOtsFgsS5cuVU6DQoiMjIyZM2fW9/f6P/3pT2o8d+5cD98BJEnKyspSRri0tPTixYvdu3f3kMaMGTP8+Y2itZ86RNC/U6qrq7dt2+a5Tc+ePYUQdrtdKRKCBw6Hg1EKTbIsc+hDEAc9ZNWdABVtntVqDXQKbYSHkXTYg7c0wWq1Wjnnhwy73R7MZVtoOXykD0Ec9FDGR/oQFAwH3bfnHAr5ASColZWVKT+UF0KMGzfO85Xm8PDwf//3f1dii8WiTG/g7I477lCCc+fOmUwm57tMJpP6M/rU1NQxY8Yo8cGDB106+f7779W4R48eXj+VJkpPT1eCiooKl5zdNo6JifHQQF31QwhRXl5et8H169fVi8oPPvigVqv10FuvXr1iY2M9p+RD6lMzmUzq7AgBxKFx0agBEc0ek+AfENXOnTsnT578wQcfOP/MqDkaO9QKg8EwZ84ctUpm2rRps2fPrq9Kpra2Vp0668477/R8pIQQvXr1ioqKUuL9+/d7aJmcnOx2maeW06pPHSKU3ikAAAAAAAAAAP9gRhkA8LHNmzd7vg6nKisra3ChigsXLqixWrziwW233fbZZ58p8enTp9PS0pzvHTx4sBqfPn160KBB6qZaJTNw4MCwsDC15a5du5544gnnTtSJZ9LT0718ps0RFxenxpWVlS7rQLkYPny4973duHGjbgPn6qJbbrnFc2+SJI0dO3br1q2em/lK79691Xj58uXPP/+8r6boaBoOjYtGDYho9pgEz4C4Pek5HI6amppTp0598sknp0+fFkJ89tln33///fLlyxscmQY1dqiFEJcuXfqv//ovtUxkwYIFt956q4f2zsN7++23N9i/JEmDBw/Oy8sTQvzwww8eWnrTm2+16lOHaEPvFAAAAAAAAABAkKBQBgB8zPsFNbypMrl06ZIad+nSpcH2nTp1UuPz58+73NuxY8fw8HBlerS8vDznQhl15pg777zTuWVFRUVlZaV6GdJ54hlvCncaJMtycXFxYWHhsWPHLl26dPXqVZeZ05xXdamqqurYsaOH3pyfvlvh4eFq7HaauMuXL6txcnKy597EP1bT8I/U1NSuXbsqL4n8/PzJkyePGTPm3nvv7dmzZ0tc9ubQuPDtgIhmj0nAB0Tl9qSn0WhiYmJuvvnm9PT0Tz/99KOPPhJCnD17dtmyZUuXLvXcoc+HOj8/f+HChcpaqhEREa+88opLEWFdFy9eVGMvp87q3r27Uihz8uRJz8286c2HWvWpQ7SGd0p4eHivXr08t1HmLtJoNDod37/q5XA4HA6HRqOpb6ontD3KQVc3eYOEDlmW7Xa7JEl+KLtHkFAOurqp1WoDvrY9/EaZV5KD7iuO+s+ckiZ4R1ir1cr8Rx8C+Egfgpw/0vPpLqTwkT4E8ZE+lCkf6YPh7za+zSHwzwcA4MGVK1fU2Jv1IKKjo9XYuchGIUnS6NGjd+3aJYTYtWuX83w26jwxQ4YMcWl54sSJ2267Tbn3zJkz6kOc56dpmoMHD65Zs6akpMTL9g2ugBgREdHMlJwH3JtLyElJSc3co/ckSVqyZElWVlZtba1yy969e/fu3SuESExMHDFixPDhw/v37+/8GmgyDo0Lnw+IaPaYBPNr1ZkkSQ899NDhw4ePHTsmhMjPzz9x4oTzWjkufD7UH374YVFRkRInJia+/vrriYmJDXZbXFysxnPmzFH+xqeU2siyrAZCCIfDoQTqF0WDwSDLcn1fFBMSEhrcu2+16lOHaA3vlG7duv35z3/23Gb69OlCiMjIyPj4+Mb2Hzqqq6tNJlNYWFiDi52hzaipqVFPTRqNhjdI6LBYLFVVVUIIDnrosFqtlZWV6mZMTEww/I0V/lFWViaEaNeuXVhYWKBzaQuM7dqV1XOXTqcTDX++Dozo6GiJc34IqKqqslgsERERPvmCiVbBYDCoP4/RarV8ugsdJpOpurqa73EhxWw2GwwGdTMuLo6yyBDhcDiU9e5jY2MDftDV7xQ+yYQvpQAQ1KxWqxp785dE5/8bXH7Erxg1apRS/lJZWXnjxg3lg2xVVdX169eVXXTu3Nml5f79+9VCmUOHDilBeHh4g9MAeJadnb1t27bm9NASnK/aevMfbfPrPxolOTn5/fffX7t27Zdfful8+/Xr17dv3759+3YhxC233PLEE094OQeGWxwaFwxIM0mS9Nhjjy1YsEDZ3LJlS32FMi0x1GqVjBDiF7/4hTdVMkII9cKtEMJkMvkwn4BcE+LUoQjydwoAAAAAAAAAwD8olAGAoOb8iyvnee3q4zx9vdurff369VPjEydOjBw5UjgtFDJq1Ch1FgS15b59+5555hnldnXimdGjRzdnYr3c3Fz1eqpGo5kwYcLIkSO7dOkSHR2t0+kkSVI7v3z58owZM5q8o8ZyXsLD4XA0OHWk22qkFqXX62fPnp2Zmfn999/v27cvLy/PJYdDhw4dOnRo4sSJ06ZNa8Ix4tC4YEB8IjU1VY3379/vdsKVFhrqu+++e9euXcr585133tHr9aNGjWrwUW3vJ86cOkRreKcAAAAAAAAAAPygrV0DAIA2xnnWFoPB0ODMpTU1NWrcpUuXug3i4uISEhIqKiqEEH//+9+VQpn9+/cr9zpfP1ZbWiyWa9euderUqbKyUpl4RgihPLBp7Hb7mjVrlDg2NnbFihUe1iLxpjzIh5wH3Gg0xsXFeW6vDoifKRf7R40aJcvyjRs3zp49u2fPnm+++UYdrs8++6xHjx7jxo1rVLccGhcMiK+4LHlTW1vrckvLDfVdd9310EMP/ed//qcyMczy5cuzsrLuuecez49yHt7169e3mVmjOXUE+TsFAAAAAAAAAOAHLB4GAEGtW7duanz58uUG21+7dk2NU1JS3La56667lGDfvn2yLMuyvGfPHuWWAQMGuG159OhR4TTxjPjXmWka6/Lly2pBz5w5czxcTxX/+oz8oGvXrmpcUlLSYPuzZ8+2ZDoNkyQpISFh2LBhzzzzTE5OTmZmpnpXdna28wxD3uDQuGBAWojzonKKFh3qrl27rlq1ql27dsrmihUrtmzZ4vkhN910kxqXlpY2anetAqeO+gTVOwUAAAAAAAAA0BIolAGAoNajRw81Vud98SAvL0+Ne/bs6bbNLbfcogQ2m+3q1aulpaXKShMJCQnx8fFuWyqVNN9++62yWbdlo1y8eFGNGyy4OXz4cJN31ATOC8R89913DbbftWtXC2bTSDqd7sEHH8zIyFA2jUZjeXl5o3rg0LhgQHzFaDQ6b9ZdGK6lhzopKWnVqlVqAcfatWvXrVvnob3z8Pr5yPofpw5nQXVWBwAAAAAAAAC0BAplACCodejQISkpSYm//PJLZemQ+lit1q1btypxeHh4Wlqa22a9evVS46NHjxYWFirxnXfeWV/L/Px8s9msTjxTt2WjKHU5Cq1W67nlzp07m7OvxkpKSlIvpW/evNnzEiGnT5+urKz0S16N4Lx+lsFgaNRjOTQuGBBfOXfunBpHR0dHRka6NPDDUMfHx69atapz587K5oYNG7Kzs2VZdts4Li6uf//+Srxx40abzdaEPbYunDpEELxTAAAAAAAAAAB+QKEMAAS7SZMmKYEsy3/60588tNy8ebN6tfKBBx7QaNyf5CMjI9Vf2O/evXvv3r1KPGLECA8t//KXv6idDx8+vJFP4l+opT9CiAsXLnhouXbtWv9fn1YH3Gg07tixo75msiyvWrXKX0k1gvNUEOpaM17i0LhgQHzC5dylrunmzD9DHR0d/fbbb6vL0m3btu3tt9+ur1bm8ccfV4La2tr33nuvaXtsRTh1BPydAgAAAAAAAADwDwplACDY3X333eqv4bds2VLfb/F37979ySefKHFERMQjjzzioc+xY8cqQUFBwaFDh5TYeaYZlXpJ23mZErctvadepRZCvPvuu24vmsqyvGHDhu3btzdnR02TkZGh1+uVeM2aNUeOHKnbRrmeevr0aX8mtnHjxoKCAs/TIdTW1n788cdKHBkZ6Xz12hscGhcMiE9s3rz52LFj6uYDDzxQt43fhjoyMvKNN95Qlwf6+uuvly9f7vZtNXDgwDFjxijx9u3b165d6/ndJ4QoKyv7+OOPa2pqmpOhz3HqaC3vFAAAAKC1iOyYevPy/2130+BAJwIAAAA0EYUyABDstFrtiy++qG6uXLly2bJl58+fV65E2u32ixcvvvHGG6+//rra5rnnnqu7somzm2++2eWW1NRUtw9JT09XAnXShZSUlKioqCY9lf8TExMzevRoJS4uLp41a1Z+fr66qpTRaMzPz583b55SmvPwww83Z19NoNPpnn/+eXVz0aJFq1evvnr1qsPhEEJYLJYTJ07MmzdPqVhye8m/hZw5c2bBggWTJk3Kzs7Oz88vLy+3Wq3KXXa7vaKiIjc39+mnn66oqFBunDFjhiRJjdoFh8YFA9JksiwbjcaCgoL58+d/8MEH6u3/8R//0bFjx7rt/TnU4eHhv/vd79ST2/79+xcvXuy2tmPu3LnqUk1btmyZOnXq559/fvXqVYvFotzocDhqamrOnz+/Y8eOZ555JjMzMycnRxn/4MGpI5jfKQAAAAAAAAAA/9MFOgEAQMN69eq1ZMmSJUuWKFf1Dhw4cODAgfoa/+Y3vxk2bJjnDrt37+5yi9vFUNy2VGejaY6srKz8/Pzq6mohxJUrV5wrgZzNmjVr6NChmzZtav4eG2Xo0KG//vWvV69erWxu377d7SwIWVlZqampf/nLX/yZm8Vi2bZt27Zt2zw3Gz9+fH3H1DMOTd2uGBDPJk6c6FJXIcuy22KRjIwMD5Nd+XOotVrtokWLXnvttX379gkh8vPzn3vuuf/+7/8ODw93bhYREfH2228vXbq0oKBACFFdXb1mzZrm7DeAOHUE/J0CAAAAAAAAAAgSzCgDAK1Denr6+++/ry4X4laPHj2ys7O9KWTRarUuk8qokys0uWWj6PX61atX9+nTp74GkZGRixcvHj9+fPP31TT33nvv7373u+joaLf36nS6BQsW3HPPPX7OyhsxMTHPPvvszJkzGzsnhIJD44IBaZDD4bD/q7pVMp07d3755Zdnz57t4WXp56HWaDTz58+/++67lc2ioqLf/OY3tbW1dXf68ssvv/DCC3FxcZ47lCQpIyNjxYoVMTExPsnQzzh1BO1ZHQAAAAAAAADgW8woAwCtRkJCwquvvlpSUrJ3797jx4+fOHGiurpar9f37dt3wIABo0aN6tatm/e9jRkz5rvvvlM3684cU1/LlJSUpuXvIi4u7rXXXjt16lRubm5hYWFxcbEQIjk5ecCAASNHjkxPTw8LC/PJjpps4MCBn3zyycGDB7/99tsjR47cuHEjPj6+d+/eY8aMue222zwvbtUS5s+fX1paeuHChXPnzv34449XrlwpLS2tra11OBxxcXE9evQYMGBAenp6nz59NJpmFcJyaFwwIE2g0+k6duyYmprar1+/YcOGde3a1ZvyCz8PtSRJWVlZ0dHRygwiFy5cmDNnzptvvulS6SJJ0ogRIz766KMLFy4cPHjw1KlTRUVFN27cUHLr3r17z549hwwZ0qdPn4C/Etzi1KEKwncKAAAA0Ci6hLj4++52e1e/HkkPhLf3cz5uFWgk9ccTjtjuUsrtkj4oEgMAAABUkizLgc4BAAAAANqs6dOnHz58eObMmZmZmYHOJXhVV1ebTKaIiIhWOi0TmqCmpkadykuj0bRvzyW0UGGxWKqqqiRJSkxMDHQu8BOr1VpZWaluxsfH63T8eC9UlJWVCSHi4uICXjYNv4mOjjYajUr8wgsvLF26NLD5wG+qqqosFktUVFR9c3mi7TEYDGazWYl1Ol18fHxg84HfmEym6upqrVabkJAQ6FzgJ2az2WAwqJvt27dv5o/u0Fo4HI7y8nIRHAe9pqbmzjvvFEJs3LgxLS2tmb3xCgYAAAAAAAAAAAAAAEBI4NcbAAAAQHAxGo3Hjx8vLCw8efLktWvXbty4ERYWlpiY2Lt377S0tEGDBt10000Br98HAACtmmyzyxZLS/TsiNCKfyy7KQthl4XVbjU7bGoDk92qk9xMcS1bRMOrdaK1MZtsQghTuNVua7At2iCrXTZa7IHOIqhJkhypazOz/tuUf7JsDXQmXpMdkqOJ42+tdTTcqCEanVYbFdH8fgAAQGNRKAMAAAAEi+Li4g8//DAvL8/ldpvNdvHixYsXL+7atUsIERERMWnSpAkTJkRGRgYiTQAA0OpV/e/uS//9dkv0fOV/nqzQVP9jS/e3S15fI1+tMRlbz7VVAPWwmP/5rv/o0KW//f6bACYT/HonR/5+UkGgs/ARnRA6YRWiqjbQmXhNXxsXs/vLpj12x8LasmMlzUzgpsl3jf3TC83sBAAANAG/QwUAAAACz2q1vvPOO7NmzapbJVOX2Wz+6KOPpkyZ8vnnn8tym/n1IQAAAAAAAAAALY4ZZQAAAIAAMxgMzz777OXLl9VbOnXqNHny5D59+iQlJUVERAghbDZbZWXl6dOnv/zyy0OHDgkh7Hb7mjVrUlNTBw4cGLDUAQAAAAAAAABoVSiUAQAAAAKptrZ2zpw5169fVzb1ev0LL7wwcOBASZKcm4WFhSUlJSUlJd12220VFRV//OMf9+zZE4h8AQAAAAAAAABoxVh6CQAAAAgYWZZffvlltUomLS1t7dq1gwYNcqmScZGQkPDss88uWbIkPDzcL2kCAAAAwP+pNFz65K9PllwvCnQiAAAAQBNRKAMAAAAEzO7duwsKCpQ4NjZ2+fLler3ey8emp6e/99570dHRLZYdAAAAALiShXA47ELIgU4EAAAAaCKWXgIAAAACw2azrVy5Ut2cP39+ZGRko3pISEhISEjwdV4AAAAAAAAAALRZFMoAAAAAgXHgwAGTyaTEqampgwcPDmw+XrJarXl5efv27Tt58mRFRUV8fPzQoUNvvfXW4cOHa7XaxvZmt9sLCgr27dt3/PjxkpISm802YMCAZcuWtUTmzkpKSg4fPvz999+fP3++rKxMo9F06NAhLS1t0P9n797joq7zxY9/vjMDDEPcApHEC6EoqMSSaWpaaWVHs83QjtiWGWWapm3r5WxrW2r56H7aLPVIm3u6EBZqa5dDtlbm5bdJqBl4R1JQRAURBoZhmJnv74/v9j1zEIYBBmZgXs8/fLy/3/nM5/uez2eQmeE9n8/QoSkpKVFRUR2dAAAAAAAAAADAIyiUAQAAADxj69atapyWliZJUjs7zMnJycjIUOLVq1f36dOnxbvYbLbf/e539fX1QoiEhIQXX3zR8dbz58/PnTtXiVeuXJmUlJSfn//CCy/U1dWpbcrLy7/55ptvvvkmKCho2bJlQ4cObe5aV/Z2/PjxlStXVldXOzZraGhwPNy1a9d//ud/KnFmZqbzrany8/OfffZZJc7IyOjRo8eVbYxG4xtvvJGXl9fofElJSUlJyffffy+ESExMfPTRR+Pj451cCwAAAAAAAADQFWk8nQAAAADgiywWy9GjR9VDtywnc8stt9h+9dlnn7lyl/3795tMJuUu9913X6NbZVlWOxRC5ObmLlu2zLFKxlFtbe2f/vSn//mf/2nuWo16y8vLW7x4caMqmRbv1SK1sSzLV95aVVU1e/bsK6tkGjly5MiiRYuae6QAAAAAAAAAgK6LFWUAAAAADygtLVXj8PDw4ODg9vdpMBjGjRv33XffCSG2bdv2yCOP6PV653fJzMxUgoCAgOTkZCct9+3bt2XLFiFE796958yZM3DgQL1eb7fby8rKNm/evH37dqXZf/3Xf11zzTUpKSnOr7tv375PP/1UCDFgwIBZs2YNGDAgMDBQluULFy7s2bPHtYfbFitWrDCZTEo8atSo1NTUmJgYg8EgSZLdbq+pqVEWldm2bVvH5QAAAAAAAAAA8CAKZQAAAAAPOHPmjBr379/fXd2mpqYqhTJCiN27d99+++1OGpeVlRUVFal31Gq1ThorVTJjx479wx/+oLbUarUxMTELFy4cPXr0ypUrlZMvvvhiZmamn59fi71NmTLl4YcfVveckiQpOjp66tSpLT7Mtjl79mxhYaES33///WlpaY63arXa0NDQ0NDQoUOHpqenu7gkDwAAAAAAAACga6FQBgAAAPCAixcvqnHfvn3d1W2/fv1iYmLOnj0rhMjKyrrtttvUMpQrffnll2p8xx13tNh57969Fy1apNE0sX/rDTfc8Nhjj2VkZAghzGbz//zP/9xzzz3Oe0tOTnaskukEJ06cUGPn5TiBgYHTp093pc+6urqCggLnbRoaGoQQNptNCdAku92u/Mso+Q5l0lVMve9Qt9Jj0j3LxT0N26DJ3Q9dvKdbEwGALoD/+TzL3o4JaPvvO8cEuvg7IMeX9LIsd+nHglZRXkky6T6l0duHhoaGJj8hRPej/r6zWq2d+UFuk9T/c9zyW5hCGQAAAMADqqqq1DgiIsKNPT/wwAMvv/yyEOLixYu//PJLXFxck80sFsvnn3+uxAkJCZGRkS32PH/+fCfvgSdOnPjhhx8qGxt9/PHHv/3tb52/d5o7d24nv7mqqKhQAr1e73zBG9edO3fu8ccfd95GWTGovr7ecdLRpIaGBkbJN9ntdqbe18iyzKR7lvnXvQjdzmaziV9XqWvVx5f8sRiAD2pUOoxO1p6yUbf8ia47vQOy2Wzd5rHARbyP82VGo9HTKaCzVVdXezoFYfr1baxbfgtT6gUAAAB4gON3bnQ6d9avjxgxQt0aSdnhqEl79+5VP5NttAlRk/R6/eDBg5000Gq1qampSlxTU1NWVuakcVRUVExMTIsXda/g4GAlMJvNtbW1nXx1AAAAAAAAAIA3oFAGAAAA8ADHFU2sVqt7e7733nuVeOfOnaZmvi/+0UcfKUFAQEBycnKL3Y4ZM6bFBWCuv/56NS4qKnLScuzYsS1e0e3i4+PV+KWXXmpuZAAAAAAAAAAA3RiFMgAAAIAHhISEqHFlZaV7O580aZIa79ix48oGJSUlZ8+eVeLU1FR1BRonHKtMmtOzZ081PnPmjJOWffr0abE3t4uNjVWXsTl48GBaWtorr7ySn59PxQwAAAAAAAAA+A53rvEOAAAAwEU9evRQ4+LiYvd2HhkZmZSUlJ+fL4TIysqaOHFio8Vgtm7dqsYTJkxwpU/HhJsTGBioxufOnXPSMjw83JWLupckSStWrFiwYEFdXZ1yZvfu3bt37xZCREREjBgxYvjw4YmJiUFBQa732bt3b3Vtnua88sorQgi9Xh8WFtbW3Ls/k8lksVj8/PxaNf7o0urq6urr65VYo9E4lg+ie2toaKitrZUkKTQ01NO5+LRqg6GDdph3LMBtcTk6R61pCwDdhFbDl5k9qT37IGvcMXf+/v5d+n2i8j5OibVarbrfMbo9i8ViMpl4H+dTlElXD0NCQtzy3yC8n91ur66uFt4x6eoa7a16p9kcCmUAAAAAD1CXNhFCnDx50u39p6WlKYUyVVVVx44dS0hIUG8ym81ff/21EicmJkZERLjSob+/f4ttHP8wpv79u0nt+TiyPaKiov72t79t2LBBHQFFRUVFTk5OTk6OEOKGG26YNWtW3759XenQ399/4MCBztsow6LRaDz1qLsE5Z02o+RTGn28wtT7DrvdrgRMume5sp5c27TjI0sqZQD4Hv7n8yiPD78kSV36FZHjL/2u/ljQKsoe4ky6T7HZbI6HOp3O4zUT6ByOb+E9Punq/zluKZThGQwAAAB4QK9evdS4oqLCaDS6t/+hQ4eq3+XatGmT403KGiqKtLQ0FztUvyXmhPrGSbhWWOMRBoPhiSee2Lhx4x//+MexY8cGBAQ0apCXl/fEE0/893//tyzLHskQAAAAAAAAANBxKPQDAAAAPECv1w8YMKCwsFA5PHTo0MiRI93YvyRJM2bMyMjIEELk5uZWV1cry+HKsqxuFRQQEHDddde52GF5eXmLbRyXYL3mmmtanXRLWqxcafTtFicMBsPo0aNHjx4ty/Lly5eLiop27dr1/fffqz1s2bKlb9++48ePb1fGAAAAAAAAAAAvw4oyAAAAgGfce++9arxx40a3r1/iWOTxzTffKEFRUZFa8pKamur6tgtqTY8TFy9eVOPevXu7mqhTjhm2WAfjSjVPI5IkhYeHDxs27Pe//312dnZ6erp6U0ZGhuMaOQAAAAAAAACAboBCGQAAAMAzRo4cqe77U1RUdPjwYff2bzAYxo0bp8SffPKJUvOxefNmtcGECRNc723Xrl0tlvLs379fja+99tpW5No8ZSEcRYsbVBUUFLTnWjqdbsqUKeqwmEymS5cutadDAAAAAAAAAIC3oVAGAAAA8Aw/P785c+aoh6+88kp9fX2reqiqqiouLnbSIDU1VQlqa2sPHTpUW1u7e/du5cyQIUMiIiJcv1ZdXd2xY8ecNLDZbFu2bFHioKCgXr16ud65E5GRkWr8yy+/OGlpsVh27NjR/iuOHj1ajVsszQEAAAAAAAAAdC0UygAAAAAec9tttyUkJChxZWXlsmXLzGazi/fNz8+fPXu280qOfv36qQUrGzdu/O6779Sbpk+f3tps16xZ42Qrou3bt9fU1CjxfffdJ0lSRwRcSQAAIABJREFUa/tvUlRUlNrVZ5995qTlxx9/7JadkhxXkbnqqqva3yEAAAAAAAAAwHtQKAMAAAB4jCRJy5cvDw0NVQ6PHz/+yCOPHD9+3Pm9jEbj6tWrXayqeeCBB5QgPz//3XffVWK9Xp+UlNTabE+fPv3WW281WYxy8ODBNWvWKHFAQMDkyZNb23lztFrtmDFjlPjo0aN79+5tstm3336bnZ3tvKtPPvkkPz/fZrM5aVNXV/fBBx8osV6vd1zPBgAAAIAQIiw4ZuY970dFDPJ0IgAAAEAb6TydAAAAAODTDAbD22+/vXjx4vPnzwshjEbj4sWL+/Tpk5aWFh8fHxER4efnJ4Sw2Ww1NTVFRUXbt2/ftWuX6/3feOONWq1WqQ5Ra0RSU1O1Wm2r8rz77rs///zzb7755pdffpk9e3Z8fLy/v7/dbi8vL//73//+xRdfqC2XLl3q7+/fqs6de/DBB9WHvGrVqhkzZkycODE0NFSSpPr6+uLi4szMzP3792u12tTUVCflMidPnvzwww/9/f0nTJhw44039unTJzg4WB3e6urqgwcPvvvuu1VVVUr7uXPnumtdHAAAAAAAAACAl6BQBgAAAPCw0NDQNWvWrFmzRt0aqaSk5NVXX3V+L41G8/DDDycmJjpv5ufnd++9927atMnx5IQJE1qb5MiRIxMTE1955ZWioqKnn366uWaPPPLI8OHDW9u5c9HR0TNmzMjKylIOs7Ky1NjRSy+9ZLFYWlxXxmKxfPHFF46VPU268847x40b17aEAQAAAAAAAABei62XAAAAAM/z9/d/6qmnVq9enZKS0mJjnU73wAMPbNy48Z577tFoWn5JP2nSJMfDIUOGXH311W1IcsyYMcuXL29utZjAwMDnn3/+nnvuaUPPLUpLS5s7d25zt0ZGRq5Zs2bQIPes/R4cHLxkyZJ58+axnAwAAAAAAAAAdD+sKAMAAAB4i9jY2BUrVhiNxiNHjuTn5x87duz8+fOXL1/28/OLiIiIj4+Pi4tLSkqKi4tr1cZJkZGRCQkJR48eVQ7T0tLanOH111+fmZm5d+/ePXv2HD169PLlyyEhISkpKTfeeOPIkSNbu52T6yRJmjRp0tixY3fu3Pnjjz8eO3bMZDJFRkYOGTLk1ltvTU5OduXSS5cuvXjxYnFx8alTp3755Zdz585dvHixrq7ObreHhob27dt38ODBKSkpAwcOdKX8CACArk2SpI75xS3JwqHYVKOR7K7eUavRaqlSBbo+h59jjSS0Gn6undFqJL7P7FEaIbVx/CWtRqNr729SjZbZBwDAMyiUAQAAALxLcHDwiBEjRowY4a4OZVkuLS1VYr1eP3To0Pb0FhAQcPPNN998882tvWN0dPRnn33WnksHBwffddddd911V3MNkpKSnFxCq9VGR0dHR0e7cWwBAOiiQifcGjrh1o7oudGukFOvFQ0NDVVVVeqZsLAwna6pzyTHdEQ68LDy8nIhRGhoqJ+fn6dzQSf5OGiO1fqv+OERvZ9fwn6mLRrl6QTco7q62mKxBAYGBgUFeToXlxmEmPLvbbvr5CnuTQUAAHQqilUBAACAbu7YsWPV1dVKPHXq1I5b9wUAAAAAAAAAAC/HijIAAABdiclkOnz4cEFBQZOb8gwdOvTaa69l1xg4MpvN//Ef/6Ee3nHHHR5MpqOdOHFi6dKlSrx27dprrrnGs/kAAAAAAAAAALwNhTIAAABdQ0lJyXvvvZebm9vovNVqPXPmzJkzZ7777jshREBAwPTp0ydPnqzX6z2RJlpnxowZZrNZiTdv3twRRU7V1dWyLCtxnz59rr76ardfwqvYbDYlUB81AAAAOln9L8UX3s0UQlgsFiFErU7X2he6wU/cIIfbOyQ5Ib45G3bRXN9BnXc+//qww79IrbqLRog+xyo6KB+r9X8nTntun/zD2+3s8MCm+sqiqpbbuUP/+2+PndbqTWYBAADQ5VAoAwAA4O0aGhrWrVu3fft2VxrX19e///77mZmZjz766KRJkySpdR+YopPZbDa1sKODfPLJJ2p80003dei1AAAAACGErdpo3LVXPWxDTYp+4bVWW0fVRpyojjllrO6gzjvfNZLYccLaqrtohDR475kOysdu+9+Cdam2TD63v50dVuTaz+wuaWcnLupxQ0LnXAgAAACeRaEMAACAVzMajUuWLCktLVXPREdHp6WlDRw4MDIyMiAgQAhhtVqrqqoKCwu//vrrvLw8IYTNZlu/fn1sbOyQIUM8ljo8zWQy5eTkfP311+qZqKgoD+YDAAAAAAAAAIDHUSgDAADgverq6hYuXFhR8a81sQ0GwzPPPDNkyJBG68T4+flFRkZGRkaOHDmysrLyr3/9665duzyRL7zCG2+8oezDBQAAAAAAAAAAGmnd1rAAAADoNLIsv/DCC2qVTFxc3IYNG4YOHep8N6Xw8PAlS5asWLHC39+/U9IEAAAAAAAAAADoMiiUAQAA8FI7d+7Mz89X4pCQkJdeeslgMLh435SUlHfeeScoKKjDskMXoNFo+vXrd99993k6EQAAAADdR5Xx7IefP3yh4rinEwEAAADaiK2XAAAAvJHVal2zZo16uHTpUr1e36oewsPDw8PD3Z0XuoCnnnrqqaeeUg/NZnN2dnbbuoqOjv7ss8/clBcAAACA7kAWwm63CSF7OhEAAACgjSiUAQAA8EZ79+41m81KHBsbm5SU5PZLyLJcXFz8888/Hz58+OTJk5cuXdLpdL17946Pjx82bNh1113Xts2bZFkuKCjYuXPnzz//XFFRERgYOGjQoOHDh48dO9b1FXE6KDebzZafn79nz57Dhw9fuHDBarUOHjx41apVbeiq8124cGHfvn0//fTT6dOny8vLNRpNjx494uLihg4dmpKSEhUV5ZarePOzQghhs9n27dv3ww8/HDx4sLKyMiwsbNCgQaNHj77xxhtbm1jnjCcAAAAAAAAAwNtQKAMAAOCNtm7dqsZpaWmSJLmx89ra2n/84x+bNm2qrq52PG+xWI4fP378+PEvv/xSkqR58+ZNmDDByaXPnz8/d+5cJV65cmVSUlJZWdmzzz5bVlbm2Gdubm5ubu7atWsXLVp08803eyq348ePr1y5slG3DQ0NQoicnJyMjAzlzOrVq/v06eM8SSGEzWb73e9+V19fL4RISEh48cUXW7xLmxmNxjfeeCMvL6/R+ZKSkpKSku+//14IkZiY+Oijj8bHx7f5Kt78rFAcO3Zs5cqVRqNRPVNeXl5eXr5nz56AgICnn376+uuvd6WfzhlPAAAAAAAAAIB30ng6AQAAADRmsViOHj2qHrp9OZmlS5du2LChUT1EI7Isr1mzZsWKFXa73Ukb26+EEIWFhXPmzHGsh2jU+LXXXsvJyfFIbnl5eYsXL26u21tuuUVt7OJOQ/v37zeZTMpd7rvvPlfu0jZVVVWzZ8++sqqjkSNHjixatKiurq7NF/LmZ4UQYvv27UuWLHGsknFUX1+/fPlypcbFuU4bTwAAAAAAAACAd2JFGQAAAK9TWlqqxuHh4cHBwR1xlX79+t19992JiYkRERGBgYFCCJvNVllZmZub+9577ykbP+3fvz8zM/PBBx9ssbeCgoLs7GxZlhMSEmbOnBkXFxcYGCjLcnl5eXZ29rZt25Rm69atGzVqVFhYWGfmtm/fvk8//VQIMWDAgFmzZg0YMEDJ7cKFC3v27BFCGAyGcePGfffdd0KIbdu2PfLII3q93nmfmZmZShAQEJCcnNxiDm22YsUKk8mkxKNGjUpNTY2JiTEYDJIk2e32mpoaZREUdYTbyTufFQUFBatXr1YPb7vttmnTpkVHR2s0GrPZXFhYmJGRcfr06ddff33q1KnOU+rk8QQAAAAAAAAAeBsKZQAAALzOmTNn1Lh///5u73/YsGFPP/107969G53X6XQ9evS46667br/99mefffbIkSNCiOzs7MmTJ4eHhzvvMysrSwgxc+bMqVOnqvvySJIUFRU1f/78vn37vvPOO8rJzZs3P/LII52Z25YtW4QQU6ZMefjhhx1zi46OVusqUlNTlUIZIcTu3btvv/12Jx2WlZUVFRWpd9Rqtc4TaLOzZ88WFhYq8f3335+WluZ4q1arDQ0NDQ0NHTp0aHp6uotr4TTHa58VNptt1apV6uEzzzwzYsQI9TAwMDApKenNN99cvXr1t99+u3nzZif5dOZ4AgAAAAAAAAC8E1svAQAAeJ2LFy+qcd++fd3ef3p6+pX1EI4CAgKee+65gIAA5fCrr75ypdvx48dPmzZNrYdwNHny5B49eijxtm3bZFnu5NySk5Mdq2Su1K9fv5iYGCXOyspykqEQ4ssvv1TjO+64w5UE2ubEiRNq7HytlMDAwOnTpytrwLSN1z4rtm/fXltbqybpWCWj0mg0Tz75ZFxcnPNkOnM8AQAAAAAAAADeiRVlAAAAvE5VVZUaR0REeCQHg8GQmpqqrAjy1VdfzZgxo8W7OFknRpKk1NTU9evXCyHMZvOlS5fa87jakNvcuXOdVMkoHnjggZdfflkIcfHixV9++aW5qguLxfL5558rcUJCQmRkZOuyb42Kigol0Ov1fn5+HXchF3nkWbFx40YlCAwMvPvuu530Nn/+/EWLFjlJpiPGs7i4eO7cuc7bhIaGCiHq6uouXbrklot2S0qllMViYZR8h2N5nN1uZ+p9hzL1siwz6T6rurra0ymgw1naPctWq9UtmTTJZrN1XOedr6GhA8fKG9hs9k67Fi/a20P5FW82m+vr6z2dCzqJ40t6q9XKj4/vUKbeZrMx6b6j0TfcLl++7KlM4CneMOkmk0kJ7HY3vD6kUAYAAMDrNDQ0qLFO57EXbCkpKUpJRGVlpdls1uv1zhsHBwc7aZCYmKjG7SyUaW1uUVFR6moxTowYMUKr1Sofmm/ZsmXx4sVNNtu7d6/6QrzR3j1upw6p2Wyura0NCgrq0Mu5opOfFRUVFWp1y5QpU5zvcjVgwICQkBAnf3vriPG0Wq0XLlxw3ka5rizLbnkL173Jsux8PSd0Y/yA+CAm3Wcx9b7Ay3+he3d2bSAL0cK3AuAiXrS3Hy/pfRk/Pj6ISfdZTL0P8oZJd28ObL0EAADgdRzXuujQb1I6pyyDoXBc5KZJw4cPd7239peftyq3sWPHutKnn5/fvffeq8Q7d+5U69Mb+eijj5QgICAgOTnZlZ7bLD4+Xo1feuml5lLqTJ38rDh16pQa33DDDc57kyTp1ltvddLAC8cTAAAAAAAAANDJWFEGAADA64SEhKhxZWVlB11FluWSkpKCgoJDhw6dPXu2rKys0fLIjgXa1dXVPXv2dNJbdHS088v5+/urscVi6czc+vTp4/xyqkmTJm3atEmJd+zYMWnSpEYNSkpKzp49q8SpqanOFzhpv9jY2JiYGOWKBw8eTEtLGzNmzMSJE/v3728wGDriit72rCgtLVXjqKgo570JIfr37+/k1s4fTwAAAAAAAACAt6FQBgAAwOv06NFDjYuLizviEj/++OP69etb3DJG1WJpS0BAQLuT+he35xYeHu5iV5GRkUlJSfn5+UKIrKysiRMnStL/WcN869atajxhwgQXu20zSZJWrFixYMGCuro65czu3bt3794thIiIiBgxYsTw4cMTExPdtSWTFz4rzp07p8au1LJERkY6ubUjxjM0NPT+++933ubAgQNCCJ1OFxgY6HrPvqahocFqtWq1WsfyKXRvyqQrsSRJzrdyQ3dis9ksFguT7lPsdrtj6W1AQIBGwyrX3Zym3a8DJY2m4/Zu0Wi61UZFGo1WCM+vhN9xpE6cLl60t4fFYrHZbDqdznGVXHRvyqQrsUajceNHQ/ByVqu1oaGBl/Q+RXkfpx7q9XqpM39Dw3NkWTabzcI7Jt292ztSKAMAAOB1YmJi1PjkyZNu7z8jI+OLL75we7du0RG56XSteNGblpamFMpUVVUdO3YsISFBvclsNn/99ddKnJiYGBER4d48mxQVFfW3v/1tw4YN6qUVFRUVOTk5OTk5Qogbbrhh1qxZffv2bc+FvPNZ4fgO3JW/qLX4qZzbxzMiIuIPf/iD8zZz5swRQvj7+7urpKlbqqmpsVqtOp2OUfIdtbW1joUyTL3vsFgsyn/vTLrvaGhocCyUCQwMbNXLM3RFUrv/bKbVaDpuD9puVqql1Wq6d6FMZ84XL9rbw2az2Ww2Pz8/xtB32O12x0IZpt53mM3mhoYGJt2n1NfXO35MZzAYutkLKjTHbrcrhTJeNeluyYQ3pQAAAF6nV69ealxRUWE0GoODg93V+Y4dO9R6CI1GM3ny5FGjRvXq1SsoKEin00mSpBaGl5aWzp07113X7Sq5DR06NDg42Gg0CiE2bdr0zDPPqDcpS48o0tLSOuLqTTIYDE888UR6evpPP/20Z8+e3NzcRtsh5eXl5eXlpaamPvTQQ22r6/eGkW+S4+Iidru9xb2uGo1MkzphPAEAAAAAAAAAXotCGQAAAK+j1+sHDBhQWFioHB46dGjkyJFu6dlms61fv16JQ0JC3nrrLSfbEqnfCuocXpKbJEkzZszIyMgQQuTm5lZXV4eEhAghZFn+6KOPlDYBAQHXXXddByXQHIPBMHr06NGjR8uyfPny5aKiol27dn3//ffqUGzZsqVv377jx49vbc9eMvJN6tmzpxqbTKbQ0FDn7SsqKlzsuePGEwAAAAAAAADgzbxleRwAAAA4uvfee9V448aN7tp9s7S0tLa2VokXLlzopB5CCHH+/Hm3XNRF3pObY23EN998owRFRUXl5eVKnJqa2uLSJh1HkqTw8PBhw4b9/ve/z87OTk9PV2/KyMiw21u96Lr3jPyVHLchu3DhQovti4qKWnsJt48nAAAAAAAAAMCbUSgDAADgjUaOHBkQEKDERUVFhw8fdku3Z86cUeOEhATnjfft2+eWi7rIe3IzGAzjxo1T4k8++UQpldi8ebPaYMKECR139VbR6XRTpkxR8zGZTJcuXWptJ94z8leKjY1V4/3797fY/rvvvmvP5dwyngAAAAAAAAAAb0ahDAAAgDfy8/ObM2eOevjKK6/U19e3qoeqqqri4uJGJx07cb4mSn19/bZt21p1xXbyqtxSU1OVoLa29tChQ7W1tbt371bODBkyJCIiokOv3lqjR49WY6PR2Nq7e9XINxIZGamucPPpp5863/ipsLCwqqqq/Rdt53gCAAAAAAAAALwZhTIAAABe6rbbblOX96isrFy2bJnZbHbxvvn5+bNnz77yb/yRkZFqfGUZjaMNGzZYrdbW5NteXpVbv379evXqpcQbN250XKdk+vTpHXrpNnBc9eSqq65q7d29auSvpA64yWT66quvmmsmy/LatWvdcsV2jicAAAAAAAAAwJtRKAMAAOClJElavnx5aGiocnj8+PFHHnnk+PHjzu9lNBpXr17dXFVNv3791Pjtt99usuhBluWPP/44JyenHbm3hbfl9sADDyhBfn7+u+++q8R6vT4pKakTrq745JNP8vPznS+jUldX98EHHyixXq93rHpxkbeNfCMTJkwwGAxKvH79+gMHDlzZRqmSKSwsdN5V54wnAAAAAAAAAMCbUSgDAADgvQwGw9tvv92zZ0/l0Gg0Ll68eP78+bt27SorK2toaFDO22y2qqqqAwcOvPrqq7/73e+2b9/eXIfBwcE33XSTEpeUlMyfP//gwYNqSY3JZDp48OCiRYsyMzOFENOmTevAx+b1ud14443qPkRqaUVqaqrzzYnc6+TJk8uWLZs+fXpGRsbBgwcvXbrkOOmVlZU7dux47LHHKisrlZNz586VJKm1V/G2kW9Ep9M9/fTT6uFzzz23bt26srIyu90uhLBYLEeOHFm0aJGyJ9Q999zjpKvOGU8AAACgewsLjpl5z/tREYM8nQgAAADQRjpPJwAAAABnQkND16xZs2bNGnX3n5KSkldffdX5vTQazcMPP5yYmHjlTQsWLDh48GBNTY0Q4ty5c3/+85+b7GH+/PnJycmbNm1qX/qt41W5+fn53XvvvY2uMmHChA69aJMsFssXX3zxxRdfOG925513jhs3rm2X8KqRv1JycvLjjz++bt065TAnJ6fJtW0WLFgQGxu7detW5711wngCAAAAAAAAALwWK8oAAAB4O39//6eeemr16tUpKSktNtbpdA888MDGjRvvuecejaaJF3sGg2HdunUDBw5srge9Xr98+fI777yzXUm3ibflNmnSJMfDIUOGXH311Z1z6VYJDg5esmTJvHnz2rz8ibeN/JUmTpz44osvBgUFNXmrTqdbtmzZHXfc4ZZrtX88AQAAAAAAAABeixVlAAAAuobY2NgVK1YYjcYjR47k5+cfO3bs/Pnzly9f9vPzi4iIiI+Pj4uLS0pKiouLa3FvoNDQ0FdfffXEiRM7duwoKCgoKSkRQkRFRQ0ePHjUqFEpKSl+fn6d8pi8PbfIyMiEhISjR48qh2lpaZ12acXSpUsvXrxYXFx86tSpX3755dy5cxcvXqyrq7Pb7aGhoX379h08eHBKSsrAgQObLIpqFa8a+SYNGTLkww8//PHHH3/44YcDBw5cvnw5LCwsPj5+zJgxI0eO1Ov1LfbQmeMJAAAAAAAAAPBOkizLns4BAAAA8EayLD/44IPV1dVCCL1en5WV1WIREnClOXPm7Nu3b968eenp6Z7OxXvV1NSYzeaAgIDg4GBP54JOUltbW1dXp8QajcY7l+xCR7BYLNXV1ZIkRUREeDoXdJKGhoaqqir1MCwsTKfjy3vdnLWyqnb/z0IIo9EohDAYDK19Ie2fEiVCO+q1d1GVn8nWQX17gLXer6q6dWMlCTm0wtxB+YybMNhs/tev+D8/mb5i8WPt7LD0p/p6o7Xdebnk6uviwobEds61up/q6mqLxRIYGNjcUqDofoxGY319vRLrdLqwsDDP5oNOYzaba2pqtFpteHi4p3NBJ6mvr1de1ymuvvpqvmbmI+x2+6VLl4R3THptbe0tt9wihPjkk0/i4uLa2RtvSgEAAICmHTt2TKmSEUJMnTqVKhkAAADAFbrw0NDbxgohGsrLhRDBoaEeX57Q0RCKMzuSRvO/G5jKwb2k3je2s8OY3u3sAAAAAGiMUi8AAACgaZ9//rka33HHHR7MBAAAAAAAAAAAuAUrygAAAABNqKqq2rVrlxInJyd71Z4gFy5cOHDgwOHDh0+ePHnhwgW73R4aGtqnT5/Y2NjBgwcPGjQoNDTU0zk268SJE0uXLlXitWvXXnPNNZ7NBwAAAHB04Z+H68outfnuYZF+GiG7JZOgOH9JarlZk/abr6m2eubDf7vDo6+qNZ6tLbmyTYi/fFVVjb30krgqXBs3pPOSAwAAAIQQFMoAAAAATfroo4/UeNasWZ5L5P8oKip6++23CwsLG52/ePHixYsX9+/fv2XLFiFE3759f/vb344ZM8ZgMHgizRbYbDYlkGX3/AkBAAAAcJf8l7OKP/t/bb77TfcNsJadd0smCYuukW31bbvvW5fT8y9Y3JJGa1lsdjUurSj/5/mdV7YZFR2sP/GLJetzbcIN2nkvdWJ2AAAAgBBsvQQAAAA0YjKZNm/enJOToxwOGTKkf//+nk1JCCHLclZW1u9///srq2SuVFxc/Pbbbz/++OOdkBgAAAAAAAAAAF0IK8oAAAAAQgjxxhtvfPfdd41OajSaxYsXeySfRr744ousrCz1MCkpaerUqf3797/qqqs0Go3dbq+uri4uLt6xY8c333zjwTwBAAAAAAAAAPBmFMoAAAAATZMk6fnnn4+IiPB0IuL8+fPvvPOOerh8+fLrr7/esYFWqw0PDw8PD09OTp4zZ87nn3+emZnZ6WkCAAAAAAAAAODt2HoJAAAA+D80Gk2/fv1mzJjx/vvvJyUleTodIYTIzs5W4yeeeKJRlUwjer3+vvvu++ijj8aNG9fxqQEAAADwLeYLpw8su7PmVIGnEwEAAADaiBVlAAAAACGEeOqpp5566ilPZ9EEWZa3b9+uxBqN5rbbbnPlXgaDYdasWR2YFgAAAADfJMuyzSpk2dN5AAAAAG3EijIAAACAV6uurrbb7UqcmJio1Wo9mw8AAAAAAAAAAF0XK8oAAAAAXq2urk6NQ0JCPJiJK2w22759+3744YeDBw9WVlaGhYUNGjRo9OjRN954o7+/f2t7k2W5uLj4559/Pnz48MmTJy9duqTT6Xr37h0fHz9s2LDrrruuDX0q3RYUFOzcufPnn3+uqKgIDAwcNGjQ8OHDx44dazAY2tAhAAAAAAAAAKCroFAGAAAA8Go63f++aD916pRb+ty1a9d//ud/KnFmZqbz6pD8/Pxnn31WiTMyMnr06NFcy2PHjq1cudJoNKpnysvLy8vL9+zZExAQ8PTTT19//fUuZlhbW/uPf/xj06ZN1dXVjuctFsvx48ePHz/+5ZdfSpI0b968CRMmSJLUXD/nz5+fO3euEq9cuTIpKamsrOzZZ58tKytz7DM3Nzc3N3ft2rWLFi26+eabXUwSAAAAAAAAANDlsPUSAAAA4NVCQ0PV+Ny5cxcvXmx/n7Is237lSnu1sSzLzbXZvn37kiVLHKtkHNXX1y9fvvz77793McOlS5du2LChUZVMI7Isr1mzZsWKFerWVE22cXykhYWFc+bMcaySadT4tddey8nJcTFJAAAAAAAAAECXw4oyAAAAgFfz8/NLSEg4evSocvj888+/+OKLQUFBns2qkYKCgtWrV6uHt91227Rp06KjozUajdlsLiwszMjIOH369Ouvvz516lTXu+3Xr9/dd9+dmJgYERERGBgohLDZbJWVlbm5ue+9957ZbBZC7N+/PzMz88EHH3QlyezsbFmWExISZs6cGRcXFxgYKMtyeXl5dnb2tm3blGbr1q0bNWpUWFhY64YAAAAAAAAAANAK/se7AAAgAElEQVQVsKIMAAAA4O3uv/9+NT516tQDDzzwwQcfnD171sn6Lp3JZrOtWrVKPXzmmWeefPLJmJgYrVYrSVJgYGBSUtKbb745fvx4IcTmzZtd6XPYsGFr16596623JkyY0KdPH4PBIEmSJEk6na5Hjx533XXXBx98kJiYqDTOzs6urKxssc+srCyr1Tpz5syXX3556NChSp8ajSYqKmr+/PmzZ89WW7qYJAAAAAAAAACgy2FFGQAAAMDb/eY3vxk1atQ///lP5dBms2VnZ2dnZ2u12mHDhiUlJQ0cOLB3797BwcEeSW/79u21tbVKnJ6ePmLEiCvbaDSaJ5988tSpU0VFRa70mZ6e7rxBQEDAc88999BDD9XX1wshvvrqqxkzZrTY7fjx46dNm9bkTZMnT/773/+u7Gy1bdu29PR0SZJa7PDSpUtZWVnO29TV1QkhLBaLOkq4UkNDgxDCarUySr5DmXSFLMtMve9Q9sJj0n1Ko00S6+rqNBq+vOdbzGazxWLxdBaucnFz0ubIdrfVssuy3PLr0WY42Zy0MzVX2W+32W02uxDCZrPx66DbsFqtQoiGhgbm1Hcok66w2+1Mve9Qpp5J9ymNXiCZTCZXPjdDN6C+nPOGSTeZTErglte6FMoAAAAAXcDSpUszMjJycnIcT9psttzc3NzcXOUwMjJywoQJ48ePj4qK6szcNm7cqASBgYF33313c80kSZo/f/6iRYvcdV2DwZCamqrUqbhYKPPII484SS81NXX9+vVCCLPZfOnSpYiIiBY7vHz58t/+9jfnbfr37y+EsFqtSsUMnLDZbIySb5Jlman3QUy6z1KKXOFTutakt7dQxjsWfbR7RxrNsdvtyp837HZ7Pb8Ouher1epYPAHfYbfbeXXna3gf58uU/dDhU7xh0t37fw7f3gAAAAC6AK1W+/jjj69evTolJaW5NuXl5R999NGjjz66cuXK6urqzkmsoqKioqJCiadMmaLVap00HjBgQEhIiBuvro5GZWVli+/WUlJSnC+6o+7lJIS4dOlS+9MDAAAAAAAAAHgbCmUAAACALiM2NnbFihUffPDB4sWLR4wY0VxVSl5e3syZMw8fPtwJKZ06dUqNb7jhBueNJUm69dZb3Xj10NBQNa6qqnLeePjw4a73dvny5fYkBgAAAAAAAADwTmy9BAAAAHQxoaGhN99888033yzLstFoLC0tPXTo0Pbt28+ePau2sdvtf/zjH995552ePXt2aDKlpaVq7MqWT8o+RC6SZbmkpKSgoODQoUNnz54tKytrtG6/43601dXVzh9sdHS088v5+/urscVicSVDrVbrWF7TJHX7Xo/v4+vN1E0KGCXf0WhnCqbepyizz6T7FMcfeabep/Dz7ineP+KSJMm/Bh5OBW7CS3rfxK9438TPu2/i591nec9LevfmQKEMAAAA0FVJkhQSEhISEpKQkDB16tSysrL/+q//2r9/v9rgxRdf/Mtf/tKhOZw7d06NDQZDi+0jIyNd7PnHH39cv379hQsXXGzfYmlLQECAi125rl+/ft98843zNnPmzBFCGAyGiIgItyfQbdTU1JjN5oCAAOfbY6E7qa2tVfeW1mg0V199tWfzQaexWCzV1dWSJPG/ou9oaGhwXPgtNDRUp+MzSV9RXl4uhAgJCfHz8/N0Lq5yLJ5uA41WY2+5lUva85cArVYrhM1NibRdcw9B56fT6bQWIfz8/IL5ddBdVFdXWyyWwMDAoKAgT+eCTmI0GtVvs+h0urCwMM/mg05jNptramq0Wm14eLinc0Enqa+vNxqN6mF4eLhGw8Y1PsFutys71HvDpOv1eiVwSyY8gwEAAIBuIjo6evny5VOnTlXPFBUVOa740hEcy1NceYviYrVKRkbG888/73qVDAAAAAAAAAAAruDbGwAAAEC38uCDD3777beVlZXK4eHDh3v16tVxl3P8xq3dbtdqtc7bN9o7qUk7duz44osvlFij0UyePHnUqFG9evUKCgrS6XSSJKnfTC0tLZ07d25bcwcAAAAAAAAA+BwKZQAAAIBuRaPRTJo0KTMzUzn85ZdfnLd33GC4STabszXbe/bsqcYmkyk0NNR5bxUVFS1ebv369UocEhLy1ltvOVnI13luAAAAAAAAAAA0wtZLAAAAQHfTu3dvNa6rq7uygeO6Ly3WmpSXlzu5NSYmRo1d2SmpqKjIeYPS0tLa2lolXrhwofPtrs+fP9/iFQEAAAAAAAAAUFEoAwAAAHQ3NTU1atzkEi8hISFqbDQanfdWUFDg5NbY2Fg13r9/f4u5fffdd84bnDlzRo0TEhKcN963b1+LVwQAAAAAAAAAQEWhDAAAANDd/Pjjj2o8cODAKxtERkaqsfO9mSwWy44dO5w0iIyMVBd9+fTTT52vT1NYWFhVVeWkgRCivr5ejR1Xvmmy5bZt25z3BgAAAAAAAACAIwplAAAAAK9mMpn+/ve/NzQ0uNi+tLQ0NzdXPWxyUZaoqChJkpT4s88+c9Lbxx9/bLfbnV9x+vTpaqpfffVVc81kWV67dq3zrsT/LeIpLi520nLDhg1Wq7XFDgEAAAAAAAAAUFEoAwAAAHi7DRs2zJgxY/PmzSaTyXnLsrKypUuXqoejRo1Sl3txpNVqx4wZo8RHjx7du3dvk719++232dnZLaY3YcIEg8GgxOvXrz9w4MCVbZQqmcLCwhZ769evnxq//fbbTZbCyLL88ccf5+TktNgbAAAAAPfS94y9/qVvrro2ydOJAAAAAG1EoQwAAADQBVgslvfeey8tLe2FF17YvXv32bNnzWazcpMsyyaT6ejRo3/5y18ee+yx6upq5XxwcPCTTz7ZXIcPPvigGq9atSorK+vy5cuyLAsh6uvrT5w4sXz58r/85S9arfa+++5znptOp3v66afVw+eee27dunVlZWXKUjQWi+XIkSOLFi1Stkm65557nPcWHBx80003KXFJScn8+fMPHjyoPliTyXTw4MFFixZlZmYKIaZNm+a8NwAAAAAAAAAAHOk8nQAAAACAVsjNzXXcWak54eHhr732mrrQy5Wio6NnzJiRlZWlHGZlZamxo5deeslisbS4rkxycvLjjz++bt065TAnJ6fJ5V4WLFgQGxu7detW570tWLDg4MGDNTU1Qohz5879+c9/brLZ/Pnzk5OTN23a5Lw3AAAAAAAAAABUrCgDAAAAeDWDwbBhw4b09PSYmBhX2gcGBs6ePfuvf/1rjx49nLdMS0ubO3duc7dGRkauWbNm0KBBLuY5ceLEF198MSgoqMlbdTrdsmXL7rjjDle6MhgM69atGzhwYHMN9Hr98uXL77zzThdzAwAAAAAAAABAwYoyAAAAgLeLjIycMmXKlClTjEbjiRMnjh07durUqTNnzpw/f76hoUGv119zzTW9e/ceMGBAcnJy3759tVqtK91KkjRp0qSxY8fu3Lnzxx9/PHbsmMlkioyMHDJkyK233pqcnOxiP6ohQ4Z8+OGHP/744w8//HDgwIHLly+HhYXFx8ePGTNm5MiRer3e9a5CQ0NfffXVEydO7Nixo6CgoKSkRAgRFRU1ePDgUaNGpaSk+Pn5tSo3AAAAwBURKfE2S0Ob7x6Y0EPu61KBe4ukyDAhbG27b5L+quCrJLek0Vo/S5L919ig10cbel3ZRit0mtB6beJwTZ/4zswNAAAAUEiyLHs6BwAAAADotubMmbNv37558+alp6d7OhfvVVNTYzabAwICgoODPZ0LOkltbW1dXZ0SazSaq6++2rP5oNNYLJbq6mpJkiIiIjydCzpJQ0NDVVWVehgWFqbT8eU9X1FeXi6ECA0NpcrZdwQFBZlMJiV+5plnnn/+ec/mg05TXV1tsVgCAwObW2cU3Y/RaKyvr1dinU4XFhbm2XzQacxmc01NjVarDQ8P93Qu6CT19fVGo1E9vPrqqzUaNq7xCXa7/dKlS8I7Jr22tvaWW24RQnzyySdxcXHt7I1nMAAAAAAAAAAAAAAAAHwC394AAADonkwm0+HDhwsKCo4dO3b+/PnLly/7+flFRETEx8fHxcUNHTr02muv9XgNODqB2WyeMWOGEi9YsGD8+PGezadDnThxYunSpUq8du3aa665xrP5AAAAAAAAAAC8DYUyAAAA3U1JScl7772Xm5vb6LzVaj1z5syZM2e+++47IURAQMD06dMnT56s1+s9kSaEEGLGjBlms1mJN2/e3EGlSzabTQnsdntH9O9V1AfLJrMAAADwrArz1gZ7haez6HSSTQ3fzzu7443vXbnTHwZW3mPf1uik3T+q8I1jQojIB6ZFPjDNjTkCAADAx1EoAwAA0H00NDSsW7du+/btrjSur69///33MzMzH3300UmTJkmS1NHp4Uo2m00t7AAAAADQncjCKosGT2fhSQ022WRx6f2O1W4X1vrGZ3UN9jqzEEJusLo9NwAAAPgyCmUAAAC6CaPRuGTJktLSUvVMdHR0WlrawIEDIyMjAwIChBBWq7WqqqqwsPDrr7/Oy8sTQthstvXr18fGxg4ZMsRjqXu96urqhx56SImXLFkyevRoz+YDAAAAAAAAAADahkIZAACA7qCurm7hwoUVFf9a1ttgMDzzzDNDhgxptE6Mn59fZGRkZGTkyJEjKysr//rXv+7atcsT+XY9bOgDAAAAAAAAAEA3oPF0AgAAAGgvWZZfeOEFtUomLi5uw4YNQ4cOdb6bUnh4+JIlS1asWOHv798paQIAAAAAAAAAAHgYhTIAAABd3s6dO/Pz85U4JCTkpZdeMhgMLt43JSXlnXfeCQoK6rDsAAAAAADdxPGj5/qFzc/9f4WeTgQAAABoO7ZeAgAA6NqsVuuaNWvUw6VLl+r1+lb1EB4eHh4e7u68AAAAAADdjSzLDQ02NqQFAABAl0ahDAAAQNe2d+9es9msxLGxsUlJSR13LZvNlp+fv2fPnsOHD1+4cMFqtQ4ePHjVqlVNNr548eKePXuOHDly9OjR2tpavV4/cODAwYMHjx49ulevXh2XZHOZHzp06MCBA4cPHy4uLrZarREREUlJSb/5zW+GDx/eJTafunDhwr59+3766afTp0+Xl5drNJoePXrExcUNHTo0JSUlKirKLVeRZbm4uPjnn38+fPjwyZMnL126pNPpevfuHR8fP2zYsOuuu65tYyXLckFBwc6dO3/++eeKiorAwMBBgwYNHz587Nixrq9+JISw2Wz79u374YcfDh48WFlZGRYWNmjQoNGjR994442tTaxzxhMAAAAAAAAA4G0olAEAAOjatm7dqsZpaWmSJLml2/Pnz8+dO1eJV65cmZSUdPz48ZUrV1ZXVzs2a2houPK+VVVVr7zyiroblMJiseTl5eXl5b3//vtxcXF/+tOfmqtFWLNmzfbt21uV7dixY//whz80eZMsy1999dWGDRvq6+sdz5eWlpaWlm7btk2r1T722GP/9m//1uTQzZs379y5c7LD9yVfeeUVjaaJDUyzs7N1ug55dW00Gt944428vLxG50tKSkpKSr7//nshRGJi4qOPPhofH9/mq9TW1v7jH//YtGlToym2WCzHjx8/fvz4l19+KUnSvHnzJkyY4ORpduUzp6ys7Nlnny0rK3PsMzc3Nzc3d+3atYsWLbr55ptdyfDYsWMrV640Go3qmfLy8vLy8j179gQEBDz99NPXX3+9K/10zngCAAAAAAAAALxTEx/xAwAAoKuwWCxHjx5VD924nIwsy7ZfCSHy8vIWL17cqISiSfn5+bNmzWpUJdNIUVHRo48+umfPniZvtbVJk12ZTKYlS5asW7euUZVMo8utW7fu+eefb7ITpXO73a6ecRyZFhNov6qqqtmzZ19Z1dHIkSNHFi1aVFdX1+YLLV26dMOGDc6nWJblNWvWrFixwnFArmzjOCaFhYVz5sxxrJJp1Pi1117LyclpMb3t27cvWbLEsUrGUX19/fLly5UaF+c6bTwBAAAAAAAAAN6JFWUAAAC6sNLSUjUODw8PDg7uiKvs27fv008/FUIMGDBg1qxZAwYMCAwMlGX5woULjYpdTp06tWzZMvUwOTl55syZ/fr18/Pzs1qtZ8+ezczM3Lt3r3Lryy+//PzzzycnJ3dEzkKI+vr6J5988vz588phjx49Hnrooeuuuy4kJESSpPr6+uPHj7/zzjunT58WQuTl5b3++utLly7toGTabMWKFSaTSYlHjRqVmpoaExNjMBgkSbLb7TU1NcoiKNu2bXPL5fr163f33XcnJiZGREQEBgYKIWw2W2VlZW5u7nvvvads8rV///7MzMwHH3ywxd4KCgqys7NlWU5ISJg5c2ZcXJzyzCkvL8/OzlZzXrdu3ahRo8LCwpz0s3r1avXwtttumzZtWnR0tEajMZvNhYWFGRkZp0+ffv3116dOneo8pU4eTwAAAAAAAACAt6FQBgAAoAs7c+aMGvfv37+DrrJlyxYhxJQpUx5++GF1zx1JkqKjox3rEmw224oVK9TDhx9++N5771UP/fz8YmNjly1b9vXXX7/99tvKyVWrVn344Yf+/v6Ol1u4cOHChQudpyTL8qpVq3Jzc5XD3/zmN1e2Wb16tVolM2nSpNmzZ2u1WvVWvV5/3XXXvfnmm2vXrv3666+FELt37544cWKjVXnWr18vhLh8+fLMmTOVM0uWLBk7dqzz9Nzl7NmzhYWFSnz//fenpaU53qrVakNDQ0NDQ4cOHZqenv7ZZ5+151rDhg17+umne/fu3ei8Tqfr0aPHXXfddfvttz/77LNHjhwRQmRnZ0+ePDk8PNx5n1lZWUKImTNnTp061fGZExUVNX/+/L59+77zzjvKyc2bNz/yyCNNdmKz2VatWqUePvPMMyNGjFAPAwMDk5KS3nzzzdWrV3/77bebN292kk9njicAAAAAAAAAwDtRKAMAANCFXbx4UY379u3bcRdKTk52rJJp0rfffltRUaHEd955p2OVjKMJEyacP38+OztbCGE2mzdv3jxjxozW5rNhwwa1Suaee+654447GjUoLCzctWuXEo8YMWLOnDlNJq/RaObPn3/8+PFTp04JIf7yl7/89a9/vbKlRqNpMu5oJ06cUGPna6UEBgZOnz69PddKT0933iAgIOC555576KGHlH2svvrqK1cmbvz48dOmTWvypsmTJ//9739XnsPbtm1LT09vco62b99eW1urJulYJaPSaDRPPvnkqVOnioqKnCTTEeNpsVgcF3ZqkrILld1u77gturoBWZbFr1t3eToXdBJl0lVMve9Q9+9j0n1Ho00b+Z3og3x20hv9soMzTY+V/OuNvErsAnhJ74Mc/5dj6n0KL+l9UKOX9Dabjdc5PsLx593jk67+n+OWTCiUAQAA6MKqqqrUOCIiouMuNHfuXOdVMkKIjRs3qvHDDz/spOX06dM//fRTq9UqhNi8efP06dNbVX3y5Zdfbt26VYlHjRrVZIXHRx99pMZPPvmkk+QlSVqwYMGiRYuEEBcvXjxz5kyfPn1cT6ZDqYVHer3ez8/Ps8kIIQwGQ2pqqrJOjIuFMs2tEyOEkCQpNTVVWbPHbDZfunSpyeew+rwKDAy8++67nfQ2f/58ZR6b0xHjeebMmX//93933kZZ7clsNldWVrrlot2YxWKxWCyezgIeYLfb+QHxNbIsM+k+q7q62tMpoLMZjUZPp+AZNr1NdF6ZfddmtVrFFW/abLZ//WGmrq6O3xpdhdlsVjbtha9RNm72dBboVEy6L3P8UBo+whsm3WQyKYFbCmV4nQ4AANCFNTQ0qLFO11E10FFRUTExMc7blJeXq8vbjB8/3mAwOGns7+//29/+VoktFouymouL8vLylNIKIcTAgQOXLl16ZRFMXV1dXl6eEt9yyy3BwcHO+xwwYEBgYKAS//Of/3Q9mY6mZm42m9VVVTwrJSVFCSorK1v89DMlJcX54CcmJqrxpUuXrmxQUVGhVrdMmTLFcfOsKw0YMCAkJMRJAy8cTwAAAAAAAABAJ6NQBgAAoAtzXBVDWaClI4wdO7bFNsXFxWo8ZsyYFtuPHDlSjQsLC13MpKioaOXKlUocFRX1wgsvNFk54Vh540rykiQlJSUp8dGjR11MphPEx8er8UsvvaSWzHtQaGioGrf4NYLhw4e73tvly5evbOA4lTfccIPz3iRJuvXWW5008MLxBAAAAAAAAAB0MrZeAgAA6MIc18/ouMVOXdmK6OzZs2rcq1evFttHR0er8enTp11Jo7y8fOnSpUpsMBhef/11vV7fZMszZ86ocd++fV3pvE+fPrm5uUKIY8eOudK+c8TGxsbExChje/DgwbS0tDFjxkycOLF///7O1+xpM1mWS0pKCgoKDh06dPbs2bKysvr6escGjhsSV1dX9+zZ00lvjrPcJH9/fzVucsOd0tJSNY6KinLem/h1k6PmdP54AgAAAAAAAAC8DYUyAAAAXViPHj3U2HFNF/cKDw9vsc25c+fU2Pn2N4qgoCA1diyyaY7JZFq0aJFSS6HRaF5//XXHxUgaKSkpUeOFCxdqNBrx68alsiyrgRDCbrcrgc1mU9objUZZlq/czskjJElasWLFggUL6urqlDO7d+/evXu3ECIiImLEiBHDhw9PTEx0HMz2+PHHH9evX3/hwgUX2zdZ2uIoICCgnSk5Pq9cqWWJjIx0cmtHjGd0dPSbb77pvM27774rhAgICHDlR8Nn1dXVNTQ0+Pn5qfugodszm83qfyOSJLW4TR66DavVajKZmHSfYrPZHDc9DAoKcr6dIrqT6upqIYTBYOi4jWK9WZVNa5U9nUQXodXphO2Kk5p/rYjPa+kuwWQyWa1Wf3//5r7Tgu5HeR+nxFqt1l2fTsD7WSwWs9ms0WiuuuoqT+eCTtLQ0KB+niaECA4O9pKPT9HRZFk2Go3COyZdfSPplkx88f0JAABAtxETE6PGJ0+e7KCruPKhtvrJiIvtNZr/3QO00ZolTXb+H//xH+qSOS+88ILjA7+S49s2s9ncYjLeLCoq6m9/+9uGDRu+/vprx/MVFRU5OTk5OTlCiBtuuGHWrFkurp3TnIyMjC+++KJduXYAx1ocx+dMc1oszXH7eBoMhptuusl5m/fff18IodVqHVfQQSMWi6WhoUGj0TBKvsPxF4ckSUy9D2LSfYfjz7sQws/PzzdrJnyZn5+f46axvkMyS4JCGdc0/deOX0/yWrpLUN59M1k+xfHzHF7S+xRlvWEm3acoXzVU+fn5ufJJHboBdX1xb5h09a0lhTIAAAC+znGTo4qKCqPR6KkvZzt+8K2uzuKE4w4+zosbZFl+4YUX1O2ZnnrqqaFDhzrvvJv96cVgMDzxxBPp6ek//fTTnj17cnNzG5UW5eXl5eXlpaamPvTQQ217k7Bjxw61Skaj0UyePHnUqFG9evUKCgrS6XSSJKndlpaWzp07t52PyHWOH7jY7fYWv33eYtGV6JTxBAAAAAAAAAB4rW71JwQAAABfo9frBwwYUFhYqBweOnRo5MiRHsmkZ8+eamw0Gltcbtdx+X3Hcp9GZFles2bNgQMHlMMZM2aMGzeuVclkZWV1j7V/DQbD6NGjR48eLcvy5cuXi4qKdu3a9f3336tlSVu2bOnbt+/48eNb27PNZlu/fr0Sh4SEvPXWW04223KlCsqNHKfSZDI52W9LUVFR4WLPHTeeAAAAAAAAAABvxppIAAAAXdu9996rxhs3bmy0DGan6d27txqXlpa22P78+fNq3K9fv+aabdq0Sd0iZ/z48Wlpaa4kc+2116rxxYsXXblLFyJJUnh4+LBhw37/+99nZ2enp6erN2VkZDgu1eOi0tJStW5p4cKFTqpkxP+duE7guMfWhQsXWmxfVFTU2ku4fTwBAAAAAAAA4P+zd+fxUVTpwsdPdXe2DiEJIWEnyCYgyyDCNayKGnTEgUEUGUfQOAoSA14QlEHZ1FFBXNgi4MVRxIWg4MKEqPeCLC8aNgMRmLAIhCWQkK2z9FZd7x81U9MmodNJOul0+vf9g89T1afOeaoqCZXO0+egMaNQBgAAwLfdeuut2tJFZ86cOXbsmFfS6Nixoxbv27ev2vbp6ela3KVLlyrb7N69e8OGDWrcp0+f6dOnu7kOTqdOnbT44MGD7hziPm+VIlXJYDCMHTs2Pj5e3SwrK8vPz69pJxcuXNDiHj16uG7s8evpmvOtPHToULXtd+zYUZfhPHI9AQAAAAAAAACNGYUyAAAAvi0gIGDKlCna5pIlSywWS416KCoqOn/+fB3TiI6ObtmypRp/++23ZrPZRWObzfbVV1+pcWBgYOfOnSu3OXHixNKlS9W4ffv2CxYs0OncfXYNDw/v2bOnGm/atMlut7t54PU4D1333jxu8ODBWmwymWp6uPMXjF6vd90yLS2tpv3XRcuWLbUZbrZs2eJ64adTp04VFRXVfdA6Xk8AAAAAAAAAQGNGoQwAAIDPu+OOO7SJQAoKCubNm+e6TsXZ0aNHn3jiCY9UA0yYMEENFEX5+OOPXbTcsmWLVpwxZsyYyhUwOTk5c+fOVePmzZsvXbo0MDCwRslMmjRJDcrLy9etW1ejYysLDg7W4ka4lpPzrCfNmjWr6eFahZMQwnXJ1Pr16xu+Tkj7uiorK9u+ffv1mimKsnr1ao+MWMfrCQAAAAAAAABozCiUAQAA8HmSJC1cuDA8PFzdzMrKevzxx7OyslwfZTKZli9fXqOqGtfuvPNObfKPrVu3Xm/qkV27dn300UdqHBQU9MADD1RObObMmercIQaD4a233goNDa1pMjfddNPQoUPVODU1df369a4nIxFC5OXlbdiwobS0tPJLBoNBy2H//v01TabWNm3adPToUdeZl5eXawtUBQcHO1e9uCk2NlaLV65cWWUpjKIon332WWpqak07r7v4+Hij0ajGa9asOXz4cOU2apXMqVOnXHfVMC1ECLEAACAASURBVNcTAAAAAAAAANCYUSgDAADQFBiNxpUrV7Zq1UrdNJlMzz77bGJi4u7du3Nycmw2m7pfluWioqLDhw8vXbr04Ycf/v777z2Yg16vf/HFF7XNVatWvfLKK+fOnVMLL2RZvnDhwrJly9544w2tzfPPP+88WYsQwm63P/vssyUlJermkiVLoqOja5fPjBkz2rRpo8Zbt2595JFHtm3blpOTY7Va1Z0Oh6O0tPTcuXPbt29/5plnEhISUlJSHA5Hlb2NHDlSDU6cOPH111+bTCZFUWqXmPtOnz49b968CRMmrF27NiMjIz8/3/lWFhQU7Ny588knnywoKFB3Tp06VZKkmo4SFhY2ZMgQNc7Ozk5MTMzIyNDKp8rKyjIyMmbNmrVx40YhxPjx4z1wYjVhMBi06YWEEAsWLEhOTs7JyVHvlNVqPX78+KxZs9TCrDFjxrjoqmGuJwAAANCE3diz7aXSd/9rSFdvJwIAAADUnsHbCQAAAMAzwsPDV61atWrVqh07dqh7srOzly5d6voonU732GOP9ezZ0yM5dO3addGiRYsWLVKLGH766aeffvrpeo1nzpw5YMCACjtNJtPly5e1zdmzZ7sz7rBhw2bOnFlhZ1BQ0DvvvPPSSy8dPXpUCFFSUrJmzRo3T6SysWPHfv3112q8bt06dTknnU6nFVKkpKQYDPXydG21Wr/55ptvvvnGdbNRo0bdfvvttRsiKSkpIyNDrU+6fPmyc8GTs8TExH79+m3evLl2o9Rav379nnrqqeTkZHUzNTW1yrltkpKSOnXq9OWXX7rurQGuJwAAAAAAAACg0WJGGQAAgKYjMDDwv//7v5cvX96/f/9qGxsMhj//+c+ffvrpmDFjdDqPPRb279///fff79Gjh4s2HTt2XLt27W233VZtb7Lbqjw8ODj45ZdffuGFF7R1qa5HkqT4+PgVK1aEhYVV2SA6Ovq5556rML+Iw+FwnUDDCAsLmz179rRp02o9/YnRaExOTu7evfv1GgQHBy9cuHDUqFG1zbGu7rnnnldfffV6i3AZDIZ58+bdddddHhmr7tcTAAAAAAAAANBoMaMMAABAU9OpU6dFixaZTKbjx48fPXr0n//855UrVwoLCwMCAqKiorp169a5c+c+ffp07txZr9fXRwKRkZFLliy5evXqnj17jh07dvz48ZKSEqPReOONN/bq1Wvw4MHt27evj3GrJEnSoEGDPvzww/Pnz+/fv//kyZNZWVmFhYVCiJiYmA4dOnTp0qVv377du3cPCAhw3dWQIUM+/fTTH3/8cf/+/WfPns3JyVFXlao/c+bMyc3NPX/+/NmzZ3/99dfLly/n5uaWl5c7HI7w8PCOHTv26tWrf//+3bt3r3upU3h4+NKlS0+ePLlz587MzMzs7GwhRExMTK9eveLi4vr371/t9alvN91000cffbR///4ff/zx8OHDhYWFERER3bp1Gzp06K233lphDa8qNeT1BAAAAAAAAAA0TpKiKN7OAQAAAACarClTphw8eHDatGkJCQnezqXxKikpMZvNQUFB15vVCU1PaWlpeXm5Gut0uhYtWng3HzQYq9VaXFwsSVJUVJS3c0EDsdlsRUVF2mZEREQ9LViJRigvL08IER4e7vWqa69wKBYh/O7t97BmUWVlZWr87HN//ev8he4cZdTZgqSK83QqDsVhEUIIKThQ50ZlPLyruLjYarWGhIRcbypQND0mk8lisaixwWCIiIjwbj5oMGazuaSkRK/XR0ZGejsXNBCLxWIymbTNFi1a8DEzP+FwOPLz80XjuOmlpaUjRowQQmzatKlz58517I1fSgEAAAAAAAAA8DCdFOTtFLwsOEAXaXSzRqqKZpIQ+hDPZgQAAAAIQaEMAAAAgArMZvPEiRPVOCkpaeTIkd7NBwAAAAAAAAAAT6FQBgAAAI3UxIkTzWZzTY+Kjo5eu3ZtfeTTONlstgcffNBTvW3cuNFoNAohZPlf0547HA5PdQ4AAAA0jMML/m6+Vlzrw6NiI8IM5dpmi7iWgSHlzg3MsbFWo+ROV2dNzY4V2GqdSbXyc8JNZY1rdSeb4z/5HD2c8+Ga9AoNOrTX3xZXoFyz2X8+GfjHp4TBH5flAgAAgHdRKAMAAIBGSpZlrVyjRkfVRzKNmR+eMgAAAODC6Y++M/2aU+vDe4zpZ88/o21Gdb1FsZ9xbmBtF19mL3Knq7MlsTsv59c6k2oVnOlwOqceC3FqQXYqlDl3Ov9/U/9ZocHNt7S4rfdxx1Wdbfc/Av7whEShDAAAABochTIAAABAgyouLp48ebIaz549e/Dgwd7NBwAAAAAAAAAA/0GhDAAAAHzAli1b9Hq9t7PwGG0OGEWp6zTpAQEBX331lYsGO3fufPPNN9X46aefjo+Pr+OIAAAAAAAAAAD4LgplAAAA4AMkSfJ2Cr5Kp9NVGbsQHBzsuvgGAAAAAAAAAAAf5dYb5QAAAAAAAAAAwM+Zr547PG9UydlMbycCAAAA1B6FMgAAAAAAAAAAwA2Kosh2Uec1ZAEAAAAvYuklAAAA+BFFUc6fP3/kyJFjx46dPn06Pz/fYDC0b9++W7duAwYM6Nu3b2BgoPu9Xb169eDBgz///PO5c+fy8vJ0Ol10dHTnzp179+7dv3//mJiY+juRxkmW5cOHD+/atev48ePXrl0LDw/v1avXXXfd1a9fv8qLZ+Xn5//www/p6ennzp2z2Ww33HDDwIED4+Pjw8PD3R8xNzd37969x48fP3HiRGlpaXBwcPfu3Xv16jV48OC2bdvW+iyOHj26d+/eY8eOXb161W639+rV65VXXqldbwAAAAAAAACARoVCGQAAAPiF0tLS7777bvPmzcXFxc77rVZrVlZWVlbWtm3bJEmaNm1afHx85aqOCkwm01tvvXXgwIEK+7Ozs7Ozs3/44QchRM+ePf/yl79069ZNe3XatGmXL19WnD58uWTJEp2uilkeU1JSDAavPaubzeaJEyeqcVJS0siRIyu3uXLlytSpU9V48eLFffr0OXPmzPz5850v77Vr13bv3r179+7Y2Ni//e1vYWFh6n5Zlt97771t27Y5d3jixIkTJ05s2LAhKSnprrvuqjbJoqKiJUuWHD161Hmn1Wo9cODAgQMHPvzww86dO//1r391Xa5U+SyysrIWL15c4YvEZrNVmw8AAAAAAAAAwCew9BIAAAD8wpw5c9avX1+hAKICRVFWrVq1aNEih8PhollRUdETTzxRuUqmguPHj8+aNau8vFzbI8uyLMvOnSuKIlfFvXOqR1om17sUzpkLIY4ePfrMM89c7/KeO3duxowZVqtVCGG325977rkKVTLOVqxY8d1337lO7+jRo48++miFKpkKzpw585e//GXv3r0u2lQ4iwMHDjz77LOuv0gAAAAAAAAAAD6NGWUAAADgR2JjY++7776ePXtGRUWFhIQIIWRZLigoSE9P/+CDD8xmsxDi0KFDGzdufOSRR67XyaJFi8rKytQ4Li5u3Lhx7dq1MxqNkiQ5HI6SkhJ1Upm0tLSGOSmv+/nnnz///HMhxC233PLwww936NAhICDAZrOdOXPm7bffvnTpkhAiLy/vf/7nf5566qlly5ZlZWUFBQUlJCTceuut4eHhkiQVFxdv375948aNaocrVqyIi4tr1qxZlcOdPXt23rx52ma/fv0mTZoUGxsbEBBgt9svXry4cePGn376SX319ddff+mll/r161ftWRw8eHDLli1CiK5duz766KNdu3YNCQlRFOXq1auuq20AAAAAAAAAAD6EQhkAAAD4hQEDBsydO7d9+/YV9hsMhujo6HvvvffOO++cP3/+8ePHhRApKSmjR4+OjIys3M/FixdPnTqlxn/6058eeugh51f1en14eHh4eHjv3r0TEhK++uor51fXrFkjhCgsLJw0aZK6Z/bs2cOGDfPQKXpNSkqKEGLq1Km///3vtZ2BgYE9evRYvnz5tGnTrl69KoRITU2NiIjYu3dv27Ztly5dqq3EJIQIDw+fMGFC69atly1bpu75+uuvteWfnMmyvGjRIm3zscce++Mf/6htBgQEdOrUad68ed9+++3KlSvVna+88spHH30UGBjo+iy++OILIcTYsWMfe+wxbe0tSZJat259//331+ByAAAAAAAAAAAaMQplAAAA4APGjRun1S64tnr16jZt2lTen5CQ4PrAoKCgBQsWTJ482WKxCCG2b99eZaHGyZMntdh1/URISMiECRMq79fpdFXGPu2ee+5xrpLRBAYGTps2beHChermJ598IoR49dVXnatkNMOHD//oo4+uXLkihPjHP/5R5fX/v//7v2vXrqnxqFGjnKtknMXHx1+5ckWt4DGbzZ9//nmVvVXQr18/5yoZAAAAAAAAAEDTQ6EMAAAAfIDD4XCzpaIotR7FaDSOGzdOLea4XqGMVqURHBwcEBBQ67GamMmTJ1/vpd69eztvjhs3rsqpeoQQkiTde++969evF0IUFRWZTKbK9TSffvqpFj/22GMuUpowYcKWLVvsdrsQ4vPPP58wYUK1ZUlTp06taZXMxYsX586d67qNmoPZbC4sLKxR535F/R63Wq1cJf/h/IPd4XBw6/2H+j+1oijcdP9R4fHMZDJRlupvSkpKGvimu//rQ5XU5zfnTYPLBi7Isrsta8eh1OlMvUK224UQsl0WQhQVFYlAi7czgmfIsiyEsFgsNpvN27mggTj/sJVlmac7/6Heem66X6nwSF9UVMQjvb8pLi72dgqirKxMDer4tK+iUAYAAAD4j/79+6uFMgUFBWazOTg4uEIDrXTDbDaXlpaGhoY2dIqNzy233GI0Gq/3amBgYKtWrdR5YoQQd9xxh4uuunfvrsWFhYUVCmXy8vJyc3PVeOTIkS4GVcf9wx/+oC6oZLVaz54927lzZxftY2Ji2rVr56JBlSwWy7Fjx1y36dKlixDC4XC4/wcVv6UoClfJb3Hr/RA33W+pf0mFX2n4m16X6nkhhPjt0YqiCKnSHjd7ctQtk2r7r+OZeoOasZq53W4XOv47aFIcDodH/nYFn8Nvc/6Jm+63eKT3Q43h+92zOVAoAwAAAB+wZcsWvV7fAAOFh4drcVFRUeVCmW7dumnxa6+9NnfuXNflGv5gwIABrhu0bdtWK5SpcmEsjfP1Lyws7NChg/Or58+f1+KhQ4dWm9itt96qFsoIIU6dOuW6UGbYsGHVdggAAAAAAAAA8HUUygAAAMAHeGoyT0VRsrOzMzMzf/nll4sXL+bk5Fgsv5no2/mjb8XFxa1atarQQ6dOndq1a3fx4kUhREZGxkMPPTR06NB77rmnS5cuflsxU/kqVaBdmaCgIIPB1e8gQUFBWlx5vm71sqvatm1bbWKtW7fW4nPnzrluXKEoBwAAAAAAAADQJFEoAwAAAH+xf//+NWvWXL161c32Vqu18k5JkhYtWpSUlFReXq7u2bNnz549e4QQUVFRgwYNGjhwYM+ePf1qSSbn6pYq6XQ6Nag8Q0+NXL58WYubN29ebXvnu+BcZFOlyMjIWqTUrFmz+Ph4123UiXD0en21F8qf2e12WZb1er3rUio0JepNV2NJkgIDA72bDxqMw+Gw2WzcdL+i3nRtMzAw0FM10Gj81Kr0gIAA7YGwYdTxa6xCtjqdrsJiTJLbp+N+y9rxxe8mNWf1ygQFBYlAHpKbCJvN5nA4eKT3KzzS+y1Zlu12Ozfdr/BI77cURVHfJG8MN92za37xvAIAAAC/sHbt2m+++cYjXcXExLz//vvr16//9ttvnfdfu3YtNTU1NTVVCHHLLbc8+uijHTt29MiITUYd/0Di/Au5O++9Og9XYeqgymr3Zm5MTMzf/vY3122mTJkihAgKCgoLC6vFEH6ipKRElmWDwcBV8h+lpaVaxaEkSdx6/2G1WtWf59x0/2Gz2YqKirRNo9HI31D9h/oMZjQaAwICGnLcOj526vS/OVyv1wv7bxoY9PoqauqrUt8LyOoknRCe/INBA1CviV6vswvRrFkzKSjE2xnBM4qLi61Wa2BgoF99bsTPmUwm7W+Wer2epzv/YTabS0pKdDodN91/WCwW5/flmjVr1sBl0PAWh8ORn58vGsdN1xLwSCb8UgoAAICmb+fOnVqVjE6nGz16dFxcXNu2bUNDQw0GgyRJWjn8pUuXpk6dWm2HRqPx6aefTkhI+Pnnn/fu3Zuenl6hDuPAgQMHDhwYN27c5MmTvV5r32Q4/33FnQ8QOC+kxWwuAAAAAAAAAABBoQwAAACaPFmW16xZo8bNmzdfsWKFi0V2ajR/o9FoHDx48ODBgxVFKSwsPHPmzO7du3/44Qetky+++KJjx44jR46sS/7QtGrVSotNJlO1n1MsLS3V4rZt29ZXWgAAAAAAAAAA38GcSAAAAGjiLl26pBVMTJ8+3UWVjBDiypUrtRhCkqTIyMgBAwY888wzKSkpCQkJ2ktr1651ntcEddG+fXstvnTpUrXtne9mbGxsveQEAAAAAAAAAPApFMoAAACgibtw4YIW9+jRw3XjgwcP1nE4g8EwduzY+Ph4dbOsrExdxrVKiqLUcTi/0rFjRy3et29fte3T09O1uEuXLvWSEwAAAAAAAADAp1AoAwAAgCbOYrFosV6vd90yLS3NI4MOHjxYi00mk/NLOt1/HsLtdrtHhvMT0dHRLVu2VONvv/3WbDa7aGyz2b766is1DgwM7Ny5c73nBwAAAAAAAABo9CiUAQAAQBOnlVYIIc6fP++i5fr16z1VueI8i0yzZs2cXwoODtbi3NxcjwznPyZMmKAGiqJ8/PHHLlpu2bJFq5EaM2aMc30SAAAAAAAAAMBv8WYxAAAAmrjY2FgtXrlyZZWlMIqifPbZZ6mpqdX2tmnTpqNHj8qy7KJNeXn5hg0b1Dg4ONi5UkcIYTAYQkND1Xj//v3Vjghnd955Z2RkpBpv3br1ejMA7dq166OPPlLjoKCgBx54oIHyAwAAAAAAAAA0bhTKAAAAoIkLCwsbMmSIGmdnZycmJmZkZGir9pSVlWVkZMyaNWvjxo1CiPHjx7vu7fTp0/PmzZswYcLatWszMjLy8/NtNpv6kizLBQUFO3fufPLJJwsKCtSdU6dOlSSpQicjR45UgxMnTnz99dcmk0lRFE+ca9On1+tffPFFbXPVqlWvvPLKuXPn1PonWZYvXLiwbNmyN954Q2vz/PPPO8/iAwAAAKDWglt1uvm1/212Qx9vJwIAAADUnsHbCQAAAADVGzduXOVyk+t59913W7Vq5bwnKSkpIyOjpKRECHH58mXnSgtniYmJ/fr127x5c7VDWK3Wb7755ptvvnHdbNSoUbfffnvl/WPHjv3666/VeN26devWrRNC6HQ67RxTUlIMBp7Vq9a1a9dFixYtWrTI4XAIIX766aeffvrpeo1nzpw5YMCABswOAAAAAAAAANCoMaMMAAAAfIDD4ZDdVnl2FqPRmJyc3L179+v1HxwcvHDhwlGjRnkq4bCwsNmzZ0+bNq3K+p7o6OjnnnuuwkvO5+ipNJqq/v37v//++z169HDRpmPHjmvXrr3tttsaKikAAAAAAAAAgA/gU6oAAADwC+Hh4UuXLj158uTOnTszMzOzs7OFEDExMb169YqLi+vfv39AQIA7/cyZMyc3N/f8+fNnz5799ddfL1++nJubW15e7nA4wsPDO3bs2KtXr/79+3fv3l2nc1WVPmTIkE8//fTHH3/cv3//2bNnc3Jy1MWD4KbIyMglS5ZcvXp1z549x44dO378eElJidFovPHGG3v16jV48OD27dt7O0cAAAAAAAAAQKMjVf64LQAAAADAU6ZMmXLw4MFp06YlJCR4O5fGq6SkxGw2BwUFhYWFeTsXNJDS0tLy8nI11ul0LVq08G4+aDBWq7W4uFiSpKioKG/nggZis9mKioq0zYiICJaY9B95eXlCiPDwcDer0j0l671/WItKa314WLSxWdB/qtjDejQLMP6mqN3aKsYeonenq0tlQWdNjlpnUq2ia83Mlsb1Dv9fRvSwmP/1X/yfJjz154lPV2gQE60b0LvEUWSVT14MGPFHoecHQhNRXFxstVpDQkJCQ0O9nQsaiMlkslgsamwwGCIiIrybDxqM2WwuKSnR6/WRkZHezgUNxGKxmEwmbbNFixauPyKIJsPhcOTn54vGcdNLS0tHjBghhNi0aVPnzp3r2BvPoAAAAAAAAACApqP7X35fr/0HCRHkXstu4aJbeH2m0vhmUZyi+88Ks527Rd0zpleVzXTNha5DQ+UEAAAA/BalXgAAAAAAAAAAAAAAAPALzCgDAAAAwIeZzeaJEyeqcVJS0siRI72bDwAAQFMlFxZbL+XU6BBbYaEQwtysmd1D620FtjDo3ZzLpSZy9M3KJbeWUmqSHLKuvMxjp+9wWgmqIL/8dFZerbsKDJJad5A9kJNLelnRORxCCGF3OPKKtf3mMl1p8b+WzQpp3aJZbKv6zgQAAAANhkIZAAAA+Dubzfbggw96qreNGzcajUZP9QZ3yPK/3j13OBzezQQAAKAJK/np4MW/vVOLAws8l0PXZwdI9l8919+/fBo79nhpice79RXtgmO+/D+PzT1vlf/zTL73/341XUytdVcdbmie+ErNarNqIUyODs0/I4Rw5BvM73+j7c839v1+SYYa9571wMClU+s7EwAAADQYCmUAAACA/1RaAAAAAAAAAACAJsxjdeIAAAAAAAAAAAAAAABAY8aMMgAAAPB3AQEBX331lYsGO3fufPPNN9X46aefjo+Pb5C8AAAAAAAAAACAh1EoAwAAAFRDp9NVGaMxCA4Odl3nBAAAAMBTzFfPHX/nyW5PLGvWqbe3cwEAAABqiXf5AQAAAAAAAACAGxRFke1CUbydBwAAAFB7FMoAAAAAAAAAAAAAAADAL7D0EgAAAOBJiqKcP3/+yJEjx44dO336dH5+vsFgaN++fbdu3QYMGNC3b9/AwMDadZuZmblr164jR45cu3YtJCTkxhtvHDhw4LBhw4xGo8fPwkUavnt29ZQ8AAAAAAAAAMCHUCgDAAAAeEZpael33323efPm4uJi5/1WqzUrKysrK2vbtm2SJE2bNi0+Pl6SpOv1c+XKlalTp6rx4sWL+/Tpk5OTM3/+/JycHOc+09PT09PTV69ePWvWrOHDh1+vt1WrVn3//fc1OpFhw4bNnDnTJ85OCGE2mydOnKjGSUlJI0eOrNzGU8kDAAAAAAAAAHwdhTIAAACAZ8yZMyc7O9t1G0VRVq1atW/fvvnz5+t0VS+EqiiKLMva5qlTp2bNmqUoyvUav/HGG6Wlpffcc0+VDWRZdu7NHVW2b5xnVyFhh8NRZQNPJQ8AAAAAAAAA8HUUygAAAACeFBsbe9999/Xs2TMqKiokJEQIIctyQUFBenr6Bx98YDabhRCHDh3auHHjI488Um1vmZmZKSkpiqL06NFj0qRJnTt3DgkJURQlLy8vJSUlLS1NbZacnBwXFxcREVGvpyZ8/Ow8mzwAAAAAAAAAwBdRKAMAAAB4xoABA+bOndu+ffsK+w0GQ3R09L333nvnnXfOnz//+PHjQoiUlJTRo0dHRka67vOTTz4RQkyaNOn+++/XlgSSJCkmJiYxMbFjx47r1q1Td37++eePP/545R6mT58+ffp016MoivLKK6+kp6erm7/73e985ezcVB/JAwAAAAAAAAB8EYUyAAAAgGckJCS4bhAUFLRgwYLJkydbLBYhxPbt2ydOnFhttyNHjhw/fnyVL40ePXrr1q25ublCiLS0tISEBK3cpEbWr1+vVcmMGTPmrrvuqtzGd89O1FvyQoji4uLU1FTXbdQ+bTZbeXm5e/n6I7vdLoSQZZmr5D/Um65SFIVb7z/U9fK46X6lwqqOFovFZrN5KxnUhdVq9XYK111qs3F26ysUh0OIxrj2qOKoeoVWz3LIjn8P95svA9nxn59ddrud/7aqpf6051r5Fef/4h0OB7fef6jPctx0v+L8K7wQwmw21/ptOvgWRfnX81hjuOnazxwtq7qgUAYAAABoOEajcdy4cepMKm5WY7iYSUWSpHHjxq1Zs0YIYTab8/Pzo6KiaprStm3bvvzySzWOi4urtqbEhUZ4du6rRfJCiLy8vKVLl7pu06VLFyGEzWYrLS2te55Nm91ur/DOC/yEoih8g/ghbrrf4g8qvkst//UumUKZeiDLjfT0HUpDJKYVxFQYzuF0WXiYd5/NZqMa0j85HA6+TfwNv8f5s7KyMm+ngIbWGG66loNHCmUaY504AAAA0IT1799fDQoKCsxmc7WNw8LCXDTo2bOnFufn59c0mQMHDqiVKEKI7t27z5kzp46fDGhUZ1dTNUoeAAAAAAAAAOCLKJQBAAAAGlR4eLgWFxUVuW48cOBA93srLCysUSZnzpxZvHixGsfExLz88st6vb5GPbjOx7tnVws1Sh4AAAAAAAAA4ItYegkAAADwJEVRsrOzMzMzf/nll4sXL+bk5FSYo955Xvfi4uJWrVq56K1169auhwsMDNRiq9Xqfp55eXlz5sxRY6PRuGzZsuDg4GqP8pWzq5JnkwcAAAAAAAAA+CIKZQAAAACP2b9//5o1a65evepm+2qLP4KCguqcVBXKyspmzZqljq7T6ZYtW+Y8mcr1+MrZVcnjyatuuOGGffv2uW6TmJgohDAajS1btnRzdD9UUlJiNpuDgoJcr8aFpqS0tLS8vFyNdTpdixYtvJsPGozVai0uLpYkKSoqytu5oIHYbDbnqdoiIiIMBt6T9ElFYWHF3s4hwGAQds93azAYhKX6Zk2VIaCRfkvWfcJLdwQEBPx7OIOtqv1CiJCQEB7mq1VcXGy1WkNCQkJDQ72dCxqIyWTSPn9iMBgiIiK8mw8ajNlsLikp0ev1kZGR3s4FDcRisZhMJm2zRYsWpce+YQAAIABJREFUOh0L1/gFh8ORn58vGsdNLy0tVQOPZNJIn4ABAAAAn7N27dpvvvnG21lUz2azPffccwUFBermyy+/3K5du2qP8pWzq1L9JS9JkvMb6NdrUx9DAwAAAAAAAABqgUIZAAAAwAN27typlWLodLrRo0fHxcW1bds2NDTUYDBIkqRVS1y6dGnq1KneylNRlJdffvncuXPq5n//93/37t272qN85eyq5NPJAwAAAAAAAAA8i0IZAAAAoK5kWV6zZo0aN2/efMWKFS7mnpVluaHyqkhRlFWrVh0+fFjdnDhx4u23317tUb5ydlXy6eQBAAAAAAAAAB7H4mEAAABAXV26dElbIXX69OmuV2i+cuVKgyRVhc2bN3/77bdqPHLkyIceesido3zl7Krk08kDAAAAAAAAADyOQhkAAACgri5cuKDFPXr0cN344MGD9ZxO1Xbv3r1hwwY17tOnz/Tp07Ulh1zzibO7Hp9OHgAAAAAAAADgcRTKAAAAAHVlsVi0WK/Xu26ZlpZW/xlVdOLEiaVLl6px+/btFyxYoNO5+7tA4z87F3w6eQAAAAAAAACAx1EoAwAAANRVy5Yttfj8+fMuWq5fv95ut9d/Rr+Rk5Mzd+5cNW7evPnSpUsDAwPdP7yRn51rPp08AAAAAAAAAMDjKJQBAAAA6io2NlaLV65cWWW9haIon332WWpqagPmJYQQJpNp5syZsiwLIQwGw1tvvRUaGlqjHhrz2VXLp5MHAAAAGpvgVp1ufu1/m93Qx9uJAAAAALVHoQwAAABQV2FhYUOGDFHj7OzsxMTEjIwMs9ms7ikrK8vIyJg1a9bGjRuFEOPHj2+wxOx2+7PPPltSUqJuLlmyJDo6uqadNNqzc4dPJw8AAAAAAAAA8DiDtxMAAAAAmoKkpKSMjAy1JOXy5csvvvhilc0SExP79eu3efPmhsnKZDJdvnxZ25w9e7Y7Rw0bNmzmzJnOexrn2bnJp5MHAAAAAAAAAHgWM8oAAAAAHmA0GpOTk7t37369BsHBwQsXLhw1alRDZlWB7LYKB/rE2V2PTycPAAAAAAAAAPAsZpQBAAAAPCM8PHzp0qUnT57cuXNnZmZmdna2ECImJqZXr15xcXH9+/cPCAjwdo6159Nn59PJAwAANBK6sGbBXTvV6BC73S6E0Ov1kiR5JAclOFLo7R7pyll0kNEk/PeBMEJv7B7jsb8UHJGE499x8/Dgjp0ia91VqzYhAbooj2Tlgl4OFYHRQggRLOnaddH2S0pUi37/2jS2aVnfaQAAAKAhSYqieDsHAAAAAGiypkyZcvDgwWnTpiUkJHg7l8arpKTEbDYHBQWFhYV5Oxc0kNLS0vLycjXW6XQtWrTwbj5oMFartbi4WJKkqKh6/9snGgmbzVZUVKRtRkREGAx8eM9f5OXlCSHCw8OpS/YfoaGhZWVlavzCCy+89NJL3s0HDaa4uNhqtYaEhISGhno7FzQQk8lksVjU2GAwREREeDcfNBiz2VxSUqLX6yMja18NCd9isVhMJpO22aJFC52OhWv8gsPhyM/PF43jppeWlo4YMUIIsWnTps6dO9exN76CAQAAAAAAAAAAAAAA4Bf49AYAAAAAV8xm88SJE9U4KSlp5MiR3s2n/pw8eXLOnDlqvHr16jZt2ng3HwAAAAAAAACAx1EoAwAA4NcmTpxoNpu1zfj4+Keeeqrao65cuTJ16lSthwcffLC+8mt83nvvvW3bttWxk7i4OK0gwyfIsqwGDofDu5nUN+1MWaMWAADA5xz528cnP0yr3bFdRnRrVnqp2mat4loHRzj0MVZ3+nSEtyjo0752+XjR7iutf84zVd/uOmzKf35l2JyR88u6H100/std+Xq9XGHnjRG9OoV1qXUCAAAAQLUolAEAAPBrsixrlQFCiNTU1AceeKBly5auj1IUxX8qJypwOBzOV6x26t4DAAAAgArMeYXFWRdqd6ytT7T1avWFMkrfYEeArC9xq45ECRR2Jax2+XhRsSXySnntC2WcK86LzPZz+WUuGpfYSnQOW4WdVodbdUgAAABArem8nQAAAAAal3Xr1nk7BQAAAAAAAAAAgHrBjDIAAAD4jX379l28eLFdu3beTqSRevLJJ5988smaHrVhw4aUlBRtc/jw4R5NCgAAAAAAAAAAuIUZZQAAAFDR6tWrvZ1Ck3L48GHnKpl77713yJAhXswHAAAAAAAAAAC/RaEMAAAAhBAiNDR05MiRanz06NFTp055N58mIy8vb/Hixdpm9+7dn3jiCS/mAwAAAAC1VnD24nsjJ+Uc+ae3EwEAAABqj0IZAAAACCGEJEmPPvqotrly5UpFUbyXThNhtVrnzp0ry7K6GRoaumjRIp2Oh3AAAAAAvklRHHbZ20kAAAAAdWLwdgIAAABoLCIiIsaOHbt161YhxJkzZzIzM/v06eOpzmVZ/uWXXw4fPnzs2LHz58/b7faoqKg+ffr87ne/GzhwYGBgoKcGajwURVmyZMmVK1e0Pa+++mpoaKibh3vkiimKcv78+SNHjhw7duz06dP5+fkGg6F9+/bdunUbMGBA3759PXvl6284RVEyMzN37dp15MiRa9euhYSE3HjjjQMHDhw2bJjRaHSzE1mWDx48+OOPP2ZkZBQUFERERNx4442DBw/+r//6ryb5FQgAAAAAAAAAqIxCGQAAAPzHQw899OWXX6pzyaxcufLdd9+VJKmOfSqKsn379vXr11ssFuf9ly5dunTpUlpaml6vf/LJJ+++++4qxzKbzRMnTlTj6dOn33777VWOsmPHjuXLl6uxJEkpKSl6vb7KZP70pz+ZzWYhxNixYydPnlyXU3Nty5Yt6enp2mZSUlKnTp3cObCOV0xVWlr63Xffbd68ubi42Hm/1WrNysrKysratm2bJEnTpk2Lj4+v+1324HBXrlyZOnWqGi9evLhPnz45OTnz58/Pyclx7jY9PT09PX316tWzZs0aPnx4tRn+85//XLx4sclk0vbk5eXl5eXt3bs3KCho7ty5N998c83OGQAAAAAAAADgg5j1HQAAAP9hNBoffvhhNb58+fL+/fvr2GFZWdns2bOTk5Mr1Hw4k2U5OTn5pZde0pYochYcHNyuXTtZlmVZ3r179/U62b17t/xvdrv9woULVTbLzc0tLS1Vmw0YMKAWZ+SmY8eO/f3vf9c277jjjrvuusudA+t+xVRz5sxZv359hbKVChRFWbVq1aJFixwOhzu5ueDB4RRF0W6lEOLUqVNTpkxxrpKp0PiNN95ITU11nd73338/e/Zs5yoZZxaLZeHChT/88IPrTgAAAAAAAAAATQAzygAAAOA3xowZs2nTJqvVKoRYtWrVgAEDqpyaxR0Wi2XGjBna2kPR0dGTJ0/u27dv8+bNJUmyWCxZWVnr1q07d+6cEOLAgQPLli2bM2dO5X5uu+22Dz/8UG0jy3LlfGRZPnDggPOew4cPx8bGVu4qMzNTi7t27Vq786pWYWHh/Pnztc3Y2Ninn37anQM9dcWch77vvvt69uwZFRUVEhIihJBluaCgID09/YMPPlBn1jl06NDGjRsfeeSRWp9v/Q2XmZmZkpKiKEqPHj0mTZrUuXPnkJAQRVHy8vJSUlLS0tLUZsnJyXFxcREREdfrRJttSAhxxx13jB8/vnXr1jqdzmw2nzp1au3atefOnVu2bNn9999f10sAAAAAAAAAAGjcmFEGAAAAvxEUFJSQkKDGBQUFu3btqnVXy5cv12o+fv/7369du3b48OERERE6nU6SpODg4L59+77zzjvx8fFqmz179hw9erRyP85r4mRnZ1duUHn+mJ07d1aZ0p49e9QgNjY2ODi4ZufjHrvd/te//lWtNBJCBAcHv/zyy24WG3nqigkhBgwYsHr16hUrVsTHx3fo0MFoNEqSJEmSwWCIjo6+9957N2zY0LNnT7VxSkpKQUFBXc66nob75JNP7Hb7pEmTXn/99d69e6vd6nS6mJiYxMTEJ554Qmv5+eefV9mDLMuvvPKKtvnCCy/MmDGjXbt2er1ekqSQkJA+ffq88847I0eOdNEJAAAAAAAAAKDJYEYZAAAAVDRq1KgNGzaUlpYKIdasWTN06NCAgICadnLq1CltpaRBgwZNmTJFkqTKzXQ6XWJiYlZW1tmzZ4UQb7/99nvvvVehpfPcMIcPH+7UqVOFTg4fPqwG8fHx3377rRDizJkzZrO5QimM88Qzt912W03PyE1vv/22c+HOyy+/HB4e7s6BHrxiQgit2ul6goKCFixYMHnyZHWNp+3bt0+cONGdPKtUf8ONHDly/PjxVb40evTorVu35ubmCiHS0tISEhIqX4fvv/9e/UpWkxw0aFDlfnQ63YwZM86ePXvmzBl3UnLmcDjKyspct1EURf1XDeAaV8lvcev9h3avuen+o8K95v9EP9SkbnpTOY/GrEl9wfglbp/f4tb7Dx7p/RCP9H7L+fvd6zfdswlQKAMAAICK9Hr91KlTly1bJoQoKyvbvn37fffdV9NOPv74Yy2eMWNGlTUfKkmSkpKSZs2aJYTIzc29cOFChw4dKuTTr1+/jIwMIcSOHTv++Mc/VuhBmz9m1KhRubm5at3M6dOnb7rpJudmzrPROM9S40GpqanOc/A88cQT3bt3d/NYD14xNxmNxnHjxn3yySeizoUy9Tfc448/fr2XJEkaN27cmjVrhBBmszk/Pz8qKqpCm08//VQNQkJCXHwZS5KUmJioXtIaOXv27IMPPui6TZcuXYQQ5eXl165dq2n//sZisailVPA3DoeDbxB/oygKN91vFRUVeTsFNLTi4uKGGai8vLzWx9psNnea2e12vexw82MEDoej1vl4kc3u1qXwiCr/2lFWVnbNzv8Rvqq8vLwu34nwXXa7nac7fyPLMjfdb9Vxamr4osZw07XPK3rkMZullwAAAFCFYcOGaTUH77//vtlsrtHh5eXl2twtI0aMCAsLc92+a9euISEharxv377KDYYPH64GZ8+erZCM2WzWJgLp1KnT0KFD1Xj//v0VOvn555+1uGPHju6cSI2cOnUqOTlZ2xwyZMjo0aPdPNbjV8xN/fv3V4OCgoKa3uUGGK5///6uL4W2nJMQIj8/v8Kr165d096yGTt2rOsFsLp27dq8efNqUwIAAAAAAAAA+DQKZQAAAFAFdX0fNbbb7Vu2bKnR4eqqQKphw4ZV216SpD59+qjxiRMnKjfQXhVCnDp1yvklrUrmpptuCggI0Fru2LGjQifaxDP9+/d3XTNRCyaTad68edpmmzZtZs6c6WJWmAo8fsXc5LwsVAN8vLumww0cOND9DgsLCyu86nxVb7nlFtddSZJUfwtyAQAAAAAAAAAaCZZeAgAAQNUGDBjQrl27ixcvCiE+/fTTP/zhD6GhoW4ee+HCBS12c+6WDh06pKenCyH++c9/Vn61VatWgYGBVqtVCJGent67d2/tJW3mmBEjRji3LCgoKCoq0gopnCee0Wad8RRZll988UVtfmmDwfDqq68GBLg5I7sQ9XDFVIqiZGdnZ2Zm/vLLLxcvXszJyamwro3zNJXFxcWtWrVyP+cGGK5169auGwQGBmqx+uXh7NKlS1ocExPjuivx7zWSAAAAAAAAAABNGIUyAAAAqJokSU8//fTcuXOFEIqifPzxx0888YSbx2ZnZ2vx9OnTdTqd+Pfy84qiaIEQwuFwqIEsy2p7k8mkKEqFuVgkSRoyZIg6ScyOHTsSEhK0l7R5Yvr27Vuh5fHjx2+99Vb11dOnT2uHOM9P4xHvvvuuVoUjhFi0aFGLFi1q1IPHr5gQYv/+/WvWrLl69aqbOVQuNKmR+hguKCioLildvnxZi41GY7XtW7ZsWdMhWrZs+eKLL7puo07IFBgY2KxZs5r27z8sFovNZjMYDMHBwd7OBQ1EvelqLEmS+7WY8HV2u11dfY+fiv5DlmWtnlgIYTQa1Ucd+IOSkhIhREhIiMcndKxSjUrVK3AzQ51ep3f761fyzS91va4hbpaqyjk4g4KCmoXyf4TvKS8vl2U5ICCgjr/HwYeYzWa73a7GOp3Ond+70TTYbDaLxcJN9yva73Gq0NBQ9yfShk9TFKW0tFQ0jpuuJeCRTCiUAQAAwHXddNNN3bt3z8rKEkJ8/fXX48ePj4yMdOdA57+FOP8SVReDBw9Wy1+KiooKCwsjIiKEEMXFxdeuXRNCGAyGNm3aVGi5b98+rVDmwIEDahAYGFjHeVMq2LlzZ1pamrb55z//uRaFOB6/YmvXrv3mm2/q3k/jHM5NzrU47vxBrhbv5zZv3nzMmDGu2/zjH/8QQlAC4prdbrfZbHq9nqvkP2RZdi6U4db7D6vVajabuel+xWazOT/qBAYGGgy8J+kv1EKZwMDAupSwuK8uX1pu1m/pdDpJUtzs00f/fOT1UjaenH2U1WqVZZnb51dsNptzoQy33q9YLBYe6f2KxWJxfscyKCjI6w8MaBgOh0MtlGkMN1374CiFMgAAAKh3iYmJM2bMUOP169fPmjXLnaPq448fPXr00OLjx4/HxcUJp1WHBg8erD0fay337t37zDPPqPu1iWeGDBniweL37OzsN998U9u85ZZbHnjggVr049krtnPnTq1sRafTjR49Oi4urm3btqGhoQaDQZIk7QpcunRp6tSpvjWc+5wXZnI4HNV+SrjCQlEAAAAAAAAAgKaHQhkAAAC4csMNN9x8882HDh0SQvzwww8PP/xw69atqz3KecqWTz75xCMLaoSHh0dGRhYUFAgh/t//+39qocy+ffvUVwcPHly5pdVqvXLlSuvWrYuKitSJZ4QQ6oEeUVZW9vzzz2ubLVu2fP7552tXhePBKybL8po1a9S4efPmK1ascDEPkFaG7yvD1YjzVS0rKwsPD3fdXvsiAQAAAAAAAAA0VcyJBAAAgGpMmTJFi9999113Drnhhhu0ODc311OZ3H777Wqwd+9eRVEURdm9e7e6p1evXlW2PHLkiHCaeEb8dmaaunA4HAsXLjSZTOqmTqd77bXXnKcwqREPXrFLly6p82EKIaZPn+56tawrV67UZayGH65G2rVrp8VXr16ttv2ZM2fqMx0AAAAAAAAAgPdRKAMAAIBqtGnTZvjw4Wp86NChs2fPVntIp06dtPjgwYOeyuSWW25RA7vdnpOTk5ubq66VExkZGRERUWVLtZLmxx9/VDcrt6y1999//8SJE9rmCy+8EBMTU+vePHjFLly4oMXVVgXV/e408HA14nxV1VmRXNuxY0c9ZgMAAAAAAAAAaAQolAEAAED1Hn/8cS1evXp1tQvohIeH9+zZU403bdpkt9s9kkbXrl21+MiRI5mZmWo8YsSI67XMyMiwWCzaxDOVW9bOvn37vvzyS23z/vvv10pzaseDV0wtHlLp9XrXLdPS0mo9kFeGq5GWLVtqM9xs2bLF9dftqVOnioqKGiQvAAAAAAAAAIDXUCgDAACA6kVGRt57771qfOLEie+++67aQyZNmqQG5eXl69at80gawcHB2hwhu3bt2rNnjxoPGjTIRcsvv/xSK+YYOHBg3dPIycl57bXXtM0+ffpoJ1sXnrpiLVu21OLz58+7aLl+/fq61zA18HA1NWHCBDUoKyvbvn379ZopirJ69eqGSgoAAAAAAAAA4DUUygAAAMAtf/rTn7T4iy++qLb9TTfdNHToUDVOTU1dv359tfPQ5OXlbdiwobS01EWb2267TQ2OHj164MABNXaeaUZz++23q8HGjRu1nVW2rBGz2fzcc88piqJuhoeHv/jii5Ik1bFb4bkrFhsbq8UrV66ssjZFUZTPPvssNTW1zlk39HA1FR8fbzQa1XjNmjWHDx+u3Eatkjl16lTDpgYAAAAAAAAA8AIKZQAAAOCWsLCwiRMn1uiQGTNmtGnTRo23bt36yCOPbNu2LScnx2q1qjsdDkdpaem5c+e2b9/+zDPPJCQkpKSkOBwOF33efPPNFfZ06tQpODi4csv+/furgVbUEhsbGxISUqNTqEBRlFdeeaWgoEDb89prr1U5eu145IqFhYUNGTJEjbOzsxMTEzMyMsxms7qnrKwsIyNj1qxZav3Q+PHj65hzAw9XUwaDYe7cudrmggULkpOTc3Jy1ItmtVqPHz8+a9YsdU2oMWPGNHB6AAAAgG+JvKH9k7s2tu57o7cTAQAAAGrP4O0EAAAA4DP++Mc/pqSkuL96TlBQ0DvvvPPSSy8dPXpUCFFSUrJmzZo65tChQ4cKe7SZY6ptqc1GU2tmszkjI8N5z9NPP127rt57772oqKgKOz11xZKSkjIyMkpKSoQQly9ffvHFF6tslpiY2K9fv82bN9diCC8OV1P9+vV76qmnkpOT1c3U1NQq57ZJSkrq1KnTl19+2bDZAQAAAAAAAAAaFDPKAAAAwF3BwcGPPfZYTQ95+eWXX3jhhfDwcNctJUmKj49fsWJFWFiYi2Z6vb7CpDLazDG1blkXcm1p89xU4JErZjQak5OTu3fvfr1jg4ODFy5cOGrUqJqeb5UaeLhauOeee1599dXQ0NAqXzUYDPPmzbvrrrsaOCsAAAAAAAAAQMNjRhkAAADUwN133/3RRx+Vl5e7f4gkSYMGDfrwww/Pnz+/f//+kydPZmVlFRYWCiFiYmI6dOjQpUuXvn37du/ePSAgwJ0Ohw4deujQIW2z8swx12sZGxvrftpe5JErFh4evnTp0pMnT+7cuTMzMzM7O1s9vFevXnFxcf3793fzarupgYerhZtuuumjjz7av3//jz/+ePjw4cLCwoiIiG7dug0dOvTWW2/14PpZAAAAAAAAAIDGTLreJ1kBAAAAAHU3ZcqUgwcPTps2LSEhwdu5NF4lJSVmszkoKMj1nFJoSkpLS7WyS51O16JFC+/mgwZjtVqLi4slSaq8BCGaKpvNVlRUpG1GREQYDHx4z1/k5eUJIcLDwxumbLrs0jVLXlH17apiCNAFBLrRLEjRBUi6YL07fSo6nT3U9wqyi626clmq9eHdY9qVl5Wp8bSZzz3z/AsuGkc3t0lSxbGC9SFB+qBaJwBvKS4utlqtISEh15vLE02PyWSyWCxqbDAYIiIivJsPGozZbC4pKdHr9ZGRkd7OBQ3EYrGYTCZts0WLFjodC9f4BYfDkZ+fLxrHTS8tLR0xYoQQYtOmTZ07d65jb/xSCgAAAAAAAADweca2Uca2jagITxLCy9Mq1kpU3Wp7nMteWhgDukU3q1s6AAAAgOdR6gUAAAAAAAAAAAAAAAC/wIwyAAAAAAAAAHxWwa/K1Uz3m+9v1uPIuTpN8xGgiMiLpurbQYiysjIhRFBQkF7v1lpFaAJkWdHi06a8f5yvwbcnnLVvpu8cVl73fkLLZUmRr/eq/ehlpbTseq8qQiq+Uv1fkS5fsjvsDovFIsuywWAIDHRjGbOq6IIC+syeULtjAQAAaoRCGQAAAMDHTJw40Ww2q/Hnn39e7eqwZrP5+eefP3funLoZGRn55ptvsnY4AABoGpT8U8qxLe63P9JhcvLu6/7N2B3RBn2r3efr0gPQhMl2hxafNOV+ee6IF5PxacPbtIwO/rXu/YSUOHS20uu9attz3HHp3PVelYJCrqZXX+WWeUQ2F1232sZ9Ac2NFMoAAICGQaEMAAAA4GNkWZZld/+6U1JSMnPmzJycHHUzJibmrbfeCgsLq7fsAAAAAAAAAABovKr57CkAAAAA31VYWJiYmKhVybRv33758uVUyQAAAAAAAAAA/BaFMgAAAEDTlJubO23atIKCAnWza9eub731ltFo9G5WAAAAAAAAAAB4EYUyAAAAQBN08eLFxMTEkpISdbNPnz6vv/56UFCQd7MCAAAA4NOKTBc/+vqxq9eyvJ0IAAAAUHsGbycAAAAAwMN+/fXXmTNnyrKsbg4aNGju3Ll6vd67WQEAAADwdYoQDocshOLtRAAAAIDao1AGAAAAaFKOHz/+/PPPK8q/3rkeMWLEzJkzJUnyblYAAAAAAAAAADQGFMoAAAAATcehQ4cWLlyobd5zzz1Tp051s0pGluVffvnl8OHDx44dO3/+vN1uj4qK6tOnz+9+97uBAwcGBgbWIh9FUTIzM3ft2nXkyJFr166FhITceOONAwcOHDZsmNForEWHdaEoyvnz548cOXLs2LHTp0/n5+cbDIb27dt369ZtwIABffv2rd05AgAAAAAAAAB8CIUyAAAAQBOxe/fupUuXapvjx49/5JFH3KmSURRl+/bt69evt1gszvsvXbp06dKltLQ0vV7/5JNP3n333S56u3LlytSpU9V48eLFffr0ycnJmT9/fk5OjtbGarWmp6enp6evXr161qxZw4cPr7Kr1NTUtWvXqvHy5cs7dOhQ7SnIsvzwww+r+ffo0ePVV191frW0tPS7777bvHlzcXGx836r1ZqVlZWVlbVt2zZJkqZNmxYfH8/sOwAAAAAAAADQhOm8nQAAAAAAD0hLS3Oukpk8efKkSZPcqfkoKyubPXt2cnJyhSoZZ7IsJycnv/TSS7IsX6+NoijyvwkhTp06NWXKFOcqmQqN33jjjdTU1CpfHTFihNbVV199Ve0pCCEOHTpUVlamHvLAAw9UeHXOnDnr16+vUCVTOaVVq1YtWrTI4XC4MyIAAAAAAAAAwBcxowwAAADg87744ou///3v2ua0adPuvvtudw60WCwzZsy4cuWKuhkdHT158uS+ffs2b95ckiSLxZKVlbVu3bpz584JIQ4cOLBs2bI5c+ZU221mZmZKSoqiKD169Jg0aVLnzp1DQkIURcnLy0tJSUlLS1ObJScnx8XFRUREVDjcaDTefvvtO3bsEEKkpaU9/vjjwcHBrkfcuHGjGgQFBfXr16/KNrGxsffdd1/Pnj2joqJCQkKEELIsFxQUpKenf/DBB2azWQhx6NChjRs3PvLII9WeIwAAAADffgUWAAAgAElEQVQAAADAFzGjDAAAAODDFEXZsGGDc5XM7Nmz3aySEUIsX75cq5L5/e9/v3bt2uHDh0dEROh0OkmSgoOD+/bt+84778THx6tt9uzZc/To0Wq7/eSTT+x2+6RJk15//fXevXsbjUZJknQ6XUxMTGJi4hNPPKG1/Pzzz6vsYdy4cVq8Z88e18Pl5OScOXNGO1Cv11doMGDAgNWrV69YsSI+Pr5Dhw5qPpIkGQyG6Ojoe++9d8OGDT179lQbp6SkFBQUVHuOAAAAAAAAAABfxIwyAAAAgA975513du7cqW0uXLjw5ptvdvPYU6dO7d69W40HDRo0ZcqUKpdq0ul0iYmJWVlZZ8+eFUK8/fbb7733XrWLOo0cOXL8+PFVvjR69OitW7fm5uYKIdLS0hISEir3Fhsb265du4sXLwohPvnkkzvuuMPFiNu2bdPiu+66q3KDhIQE19kGBQUtWLBg8uTJ6vpT27dvnzhxoutDVDk5OUuWLHHdprS0VAhhsVhcr/3k5+x2uxDCZrNxlfyH81JuiqJw6/2HusIdN92vKIrivFlaWurO6pDuCzCbg2rS3i7bhahTAhXOCADqgyzbPdKP6x9ZrleedfPHnad+KvJ44HPU3+NUsixz+/yH+qPD4XBw0/1Hhf8vTCaTZx/p0Whp/8s3hpteVlamBq4fYNxEoQwAAADgw7QqGUmSXnvtNW1aFHd8/PHHWjxjxgwXv+pIkpSUlDRr1iwhRG5u7oULFzp06OC688cff9xFb+PGjVuzZo0Qwmw25+fnR0VFVW725z//+fXXX1dH/PXXXzt37lxlb1ar9euvv1bjHj16tGz5/9m787io6v1/4J8zMzALwkAg4ga4IaBI5FKuFSWmWRpaal2XuKWoEZZp159dc8lb38wy19SiW4YauOUSalqujwxQI1ARkAQUkH0dZgZmzu+Pczt3LsuZGebMzIF5Pf96n5nP+Zz3+XwOh4Hzmc/HizuxtigUisjIyH379hFzBsqoVKoLFy5wl+nXrx8hRKfTabXa9uXmOPR6PVrJMdE0ja53QOh0h9XY2MhvhSKDgXcmoWkMlAEA4dPreRt9wv2uoJ5z4uNBx4WP9A4Ine7IeP9ID8InhE7n956DpZcAAAAAADoJJycn0ws3NDSkpqYy8eOPP+7q6spdvn///nK5nIl//fVX7sJhYWHcFRoO6KmoqGi1zIgRI9hFlA4dOtRWVb/99hv7HYKZM2dyJ8YtLCyMCSorK9VqtSVVAQAAAAAAAAAAAIAwYaAMAAAAAEAH1r17dyagaXrp0qV37twxcUdmHSXG2LFjjZanKCokJISJMzMzuQsPHz6cu4BSqWTjqqqqVss4OTm98MILTHzhwgV2as1m2HlxpFJpaGgo93FNz6q6utqSqgAAAAAAAAAAAABAmLD0EgAAAABAB/bJJ5+sXLmSGfXCjJX59NNP21qlyNC9e/fY2NfX15Rj9e7dOzk5mRBy+/Zt7pI+Pj7cBZydndmYY87MSZMmHThwgInPnTs3adKkZgUKCgru37/PxJGRkewMNK2iabqgoCAjI+PGjRv3798vLi7WaDSGBQxXt62pqenWrRv3WRBCZDLZI488wl2mvr6eECISicya8sfR6HQ6vV4vEom4OxE6E6bTmZiiKIkE/6BwFDRNNzU1ETMnQoMOje10hkQi4Xdte7N/d1h8dH7zBwBolUjEz62G+5YltBsaPh50LPhI77D0er1Op0OnOxSm09lN3j/Sg5Axiy4J4Xc0vzng/gUAAAAA0IG5uLhs2LDhnXfeycvLI4To9fq3337blLEyBQUFbPzmm2+KRCLy1+r1NE2zAVMnE7B/D9fW1tI0zfH3sFQqtfC8GF5eXiEhIenp6YSQffv2TZw4sdlBf/jhBzaOiIjgqColJWXnzp0lJSUmHtrEJW979Oixa9cu7jILFiwghMhkMsMZa6CZuro6tVrt5ORkdBUw6DTq6+sbGhqYmKIo/IA4Dq1WW1NTg053KI2NjYZTtXXp0oXfZyp0mYw2p7xELCFEZ7xc2/BUAABsQCzm51bJfcsSiUT6tt818XbH110RHw86nNraWvb7J2KxGN3nONRqdV1dnUgkQqc7Do1GU1tby266ubkx/0uETk+v11dUVBBCXF1d7d7p7B+SvGSCKxgAAAAAoGOTSqUbNmxgZ4VhxsoYrqzUKvb5NCFErVarVCqVStXQ0NDQ0KBWqzUajUaj0Wq1Wq22qalJp9MZfmvElmbOnMkE1dXVzWayUavVp0+fZuKgoCBPT8+2Ktm1a9e6detMHyUDAAAAAAAAAAAAAJ0VZpQBAAAAAOjwZDLZJ598snTpUmaeGL1ev2TJkk2bNvn7+7e1S0eZHXfw4MGurq7Md1YOHDjw3nvvsW9dunSJjdnxNC2dO3fu+PHjTCwSiSZPnjxy5MgePXq4uLgw88SyX38sLCyMjo62ymkAAAAAAAAAAAAAgDB0jH+OAwAAAAAAN5lMtnHjRsOxMm+99damTZv8/PxaLd+tWzc23rdvn4uLi40SNRNFUbNmzWKWN0pOTq6pqXFzcyOE0DS9d+9epoxUKh0yZEiru+t0up07dzKxm5vbli1bPDw82jqWvWbNAQAAAAAAAAAAAACbwdJLAAAAAACdBDNWplevXsymTqdbsmRJfn5+q4X79OnDxqWlpbbIr73Cw8PZ+OzZs0yQm5tbVlbGxJGRkWKxuNV9CwsL6+vrmfjNN9/kGCVDCHnw4AEP6QIAAAAAAAAAAACAgGGgDAAAAABA5yGTyT799NOePXsymzqdLjY2lpljphnDVZmuXr1qm/TaR6FQPPnkk0yckJCg1+sJIQcPHmQLREREtLXvvXv32DgwMJD7QAJvBwAAAAAAAAAAAACwHAbKAAAAAAB0KjKZ7LPPPjM6VkapVAYFBTFxQkJCU1OTTbM0U2RkJBPU19ffuHGjvr7+0qVLzCuDBg3y9PRsa0eNRsPGbc06w5Y8deoUH8kCAAAAAAAAAAAAgHBhoAwAAAAAQGfDzCvTo0cPZrOpqSk2Nvb+/fvNis2ZM4cJGhoadu/ebdMUzeTn58eezv79+3/55Rf2rRkzZnDs6OXlxcZtrULFiIuLE/hoIQAAAAAAAAAAAACwHAbKAAAAAAB0QnK5/LPPPuMeKzNo0KAxY8YwcVJSUlxcnE6n4662rKxsz5499fX11siZ29/+9jcmSE9P/+qrr5hYJpOFhIRw7OXn58fGW7dubXUoDE3T33//fVJSEn/JAgAAAAB0Tu6uPedM+dbbc6C9EwEAAAAAaD8MlAEAAAAA6JyYsTLdu3dnNrVabcuxMrGxsWyBI0eOzJ49+8SJE8XFxVqtlnlRr9fX19fn5eWdPHlyyZIlUVFRiYmJer3elifCePTRR9m1k9gBPZGRkdwLKrm6uo4ePZqJCwoKFi9enJaWplarmVdUKlVaWtrSpUvj4+MJIdOnT7dW9gAAAAAAAAAAAAAgDBJ7JwAAAAAAANbCjJVZsmRJcXEx+WuszObNm9mZZqRS6eeff75u3br09HRCSF1d3c6dO+2ZcducnJxeeOGFAwcOGL4YERFhdMeYmJi0tLS6ujpCSFFR0T//+c9Wiy1evDg0NLRZ/QAAAAAAAAAAAADQyWBGGQAAAACAzkyhUGzatMnHx4fZZMbKMONmGDKZ7IMPPnjvvfeUSiV3VRRFRUREbNmyxdXV1YoZt23SpEmGm4MGDXrooYeM7qVQKHbs2BEQENBWAZlMtnr16gkTJvCQIgAAAAAAAAAAAAAIG2aUAQAAAADo5JixMrGxsQ8ePCCEaDSamJiYLVu2sKNnKIoaMWLEt99+m5+fn5KSkp2dnZWVVVVVRQjx9vbu3bt3v379hgwZEhAQ4OTkZMcT8fLyCgwMzMzMZDZnzpxp4o5KpXLDhg3Z2dnnzp3LyMgoKCgghHh7ewcHB48cOTIsLMy+5wUAAACWoNz9yAAzBrwGdvH+2wiLfvXLaOLxUBdLanAcDQ0NhBCpVCoS4RubjuL7JKrpPwulEv8unuN7Bdk1nQ6sj6vExYmHryiIXJqIXtfWu5Lh3enaujZ3pkSefYw/RRo4ulHXqNdqtTqdTiKRtPvPK7HMuX07AgAAAJgLA2UAAAAAADqYhIQEc3dRKBS7d+/mLkNRlJ+fn5+fX/uy8vHxOXr0qImFXV1dTS/Momm6sLCQiWUy2eDBg03fl6KogIAAjnlliJmnAAAAAELhGUB5cv2Kb2YMIWP8rZYM/K+ysjJCiFKpxLhkx/H3N0RE+5840M17ep8wu6YDhHDOHOr0lJG9u5lwBKZMTU2NVquVy+UuLi4mpgYAAABgLxjIDwAAAAAAHcPt27dramqYeNq0aWKx2L75AAAAAAAAAAAAAECHgxllAABs6sGDB9HR0Uy8du3akJAQ++YDAqdWq2fNmsXEMTEx4eHh9s0HGA7VL9nZ2cuXL2fi7du3d+/e3b75dAI2aFK1Wp2dnZ2RkXH79u2ioqLKykq9Xu/i4uLr69unT58+ffoEBQV169aNoijeD21tx44dY+Px48fbMRMAAAAA0FXX6NUadpOSUBJ580+Y6sY6NRHrtU4SPf4RbRK9jmpq6tjfbqUN4kZ9o6qpvt1VURRxFtHGyzXPgFbfazB3J2f3Lk5uCrOPBQAAAAAdE/4+AQBbmDVrllqtZjcjIiIWLlxodC/DMSWzZs166aWXrJWfDdE0rdO1uSowmK7ZRUUIiYuL8/DwMHH3lStX3rx50/CVjz/+eMCAAbzlxx/2gtHr9fbNpKMwvDYOHjwoElnlP4wO1S/sydK0+f+ghNZYr0mLiori4+MvXLjQ8i2tVltZWZmWlsZsurq6vvTSSxMmTJDJZPzmYD3V1dUXL15k4tDQ0Iceesi++QAAAAA4uKLPdtb8cpnd9Bwf2HVQSbMyF3pMOK/Fv0HM0Eva9cgvHXveRE3Tf/9MvqvK+TH/SLur8pG79FM+MHcvioiT/PeZu9ew/5sfsmyGuXsBAAAAQAfVsQenA0BHoftfSUlJzBrV3JgxJQxHeBQNZtG1cP78eRP3raqqSk9Pb7a7VbMFW0K3gmNqbGzcsWPHggULWh0l01Jtbe1XX301Y8aM+Ph4rVZr7fR4sXfvXjaeN2+e/RIBAAAAAAAAAAAAgA4MM8oAgH3s3r17xYoV9s6CBzU1NXPnzmXiZcuWjRo1yr75OLIDBw5MmTLFlJVEzp07Z/10AABsp7a2dvny5ffv32df6d69+9SpU4OCgry8vBQKBUVRNE2r1erS0tKMjIwff/yxoKCAEELT9Pfffy+VSqdPn26/9I1TqVRJSUlJSUnM5qBBg/r162fflAAAAAAAAAAAAACgg8JAGQCwj19//fX+/fs9e/a0dyI8wKIk9iUSiWiapmm6pqYmNzfX6KNTmqYPHDjAxM7Ozh1lHgUAgLaoVKo33nijsrKS2fTw8Hj33XeDg4ObFaMoSqFQ+Pn5+fn5PfvsswUFBV988UV6errN8zXDZ5999ssvvzR7USQSvfPOO3bJBwAAAAAAAAAAAAA6ASy9BAB2s337dnunAJ2BQqGIiIhg4hMnThgtf+fOnZqaGkKISCSaNGmSdZOzmEwmO/qXp59+2t7pAIDg0DS9evVqdpRMQEDArl27Wo6Saal3797r16//5z//KZfLrZwjnyiKWrdunaenp70TAQAAAABwUOqSvOsrJ9TdzbB3IgAAAAAA7YeBMgBgUy4uLuHh4Uycnp6ek5Nj33ygc2DHu5w5c8boDDHsYJoJEyZ069bNupkBAFjZ2bNnMzMzmdjLy+tf//qXVCo1fffhw4d//fXXvr6+1smONyKRyM/Pb9asWd9++21ISIi90wEAAAAAcGA0TeuaCKZVBgAAAICODEsvAYBNURQ1b968n3/+mdncunXrZ599RlGUfbOCjs7f39/Dw4OZUCE1NXXUqFFtldRoNGfPnmXiiRMn3rhxw0YpAgBYQWNj4xdffMFurlixwtnZ2dxKFArFiBEjeM2LN2+99dZbb71l7ywAAAAAAAAAAAAAoFPBQBkAsDV3d/epU6ceOXKEEJKbm5uRkcHvV8NLS0svX75869atzMzM+vp6mUwWEBAQHBw8atSoHj16tKNCnU6Xnp5++fLlmzdvlpSUNDU1BQcHr1+/nsecaZrOyMi4cOHCH3/8UV5eLpfLBw4cOHz48LFjxyoUCnOzvXHjxvXr12/evJmfn9/U1OTp6RkSEvLwww8PHz68HQ9QifktwOPpmIiiqOnTp+/evZsQcuDAAY6BMqmpqUzg4eHh5+dn+kAZmqbz8/P/+OOPmzdv3rlzp6KiQiKR9OrVa8CAAUOHDh0yZEj72pbweoFZKUleOtR6DWihkpKSq1ev/v7773l5eWVlZSKRqGvXrn379h08eHBYWJi3t7flh7DeufPSNTqd7urVq1euXElLS6usrHR3dx84cOCoUaMeffRRcxOzQWMyHKdJjfr111/ZabQCAwMHDBjAb/3WY6VO1Ol0169fv3Dhwq1bt8rLy5VKZXBw8Pjx40NDQ1uOyq2oqDh//nxycnJeXl5jY2OfPn2GDx8eERGhVCr5OEUAAAAAAAAAAAAAECgMlAEAO5g5c+YPP/xA0zQhZOvWrV988QUvk8pUV1d//PHH6enphi9qtdrU1NTU1NRvv/22b9++/+///T+Oh7UPHjyIjo5m4rVr14aEhGRlZa1du7ampsawWGNjIyFk0aJFRUVFtMFMsx9//LFI1MqSdomJiRJJm/fb4uLiVatWFRcXG+acnJycnJy8ffv2pUuXjhs3zsiZE0IIoWn65MmTcXFxGo3G8PXCwsLCwsJTp06JxeL58+c/88wzHK1tVgu0Wp6v0zHXuHHjmIEyOTk55eXlnp6erRZLTExkghdffNHEq66+vv6nn346cOBAs0bQarVZWVlZWVknTpygKGrRokURERHcdZrbvIQQtVo9a9YsJo6JiWFXLrNSktboUB4bkF+1tbWfffYZO3aKVVBQUFBQcP78eUJIUFDQa6+91u7BB1a9eHj5Wbt9+/batWtra2vZV8rKysrKyi5fviyVSlesWPHII4+YcqY2aEyG4zSpiZhRp4zp06fzWDPj4sWLn376KRPHx8dzjxZKT09ftWoVE+/atatr166tFrPe/So3N3fVqlWG1ZaXl1+8ePHixYt+fn7/+te/XF1dmdd1Ot2XX37JrsTHyMzMzMzM3LNnT0xMzPjx4znOFAAAAAAAAAAAAAA6tFYe6AIAWJtCoXjllVeYuKioKCUlxfI609PT582b12yUTDO5ubmvvfba5cuX2ypA07TuL4SQ1NTUd955p9mTPBZTTK/Xt7q7IY6UcnJyFixYYPhctlk+n3zySVJSEkcNDJVKtWzZsh07djQbJdMs4R07dqxbt44jJbNaoGV5vk6nHZRK5aBBg5j4l19+abVMWVlZbm4uE48dO9bEmpcvXx4XF8fRCIQQmqa3bdu2Zs0aw+uh1WJmNS+D3YWjcr6StEaH8tiAPKqurn799ddbDuxo5tatW0uXLm1oaGjfUax38fDSNWfOnFm2bJnhkA5DGo1m9erVzBgXbrZpTIaDNKmJNBpNTk4Ou8neA3nUrJWMYgsbjiJtxkr3q/T09CVLlrRVbV5eXmxsLDP7TlNT07vvvttslIyhLVu2/PTTTxzpAQAAAAAAAAAAAECHhhllAMA+pkyZkpCQwDyy2rZt29ChQ8Vicbtru3v37sqVK9nN0NDQOXPm+Pn5OTk5NTU13b9/Pz4+/rfffmPe/b//+79169aFhoZy13n16tXDhw8TQvr37z9v3rz+/fvL5XKapktKSjiG2pglIyMjMTGRpunAwMA5c+b07duXOURZWVliYuKpU6eYYjt27Bg5cqS7u3tb9Wg0mtjY2AcPHjCbXbt2nTt37pAhQ9zc3CiK0mg0WVlZu3fvzsvLI4SkpqZu3Lhx+fLlRtMztwX4Op12mz59OrOU0qFDh6ZNm9ZyHoKzZ88yQUhIiLkra/j5+T333HNBQUGenp5yuZwQotPpKisrk5OTv/nmG7VaTQi5du1afHz87NmzTanQGhcYv0ny26G8N6CF1qxZo1KpmHjkyJGRkZE9e/ZUKBQURen1+rq6OmYeFPY0LcH7ufPSNRkZGZs3b2Y3n3rqqenTp/v4+IhEIrVanZOTs2vXrry8vI0bN06bNo07H1s2JqPTN6mJ7t+/z8aenp4uLi68VGsb/Hbi77//fvDgQULIsGHDXnnlld69ezs5OTU2Nubm5m7atKmwsJAQUlZW9tVXXy1cuHDjxo1ZWVlSqTQqKuqxxx5TKpUURdXU1Jw8eTI+Pp6pcMuWLSNHjuzSpYsVmwAAAAAAAAAAAAAA7AQDZQDAPpgHVF988QUhpLKy8sKFC08++WT7qtLpdGvWrGE3X3311RdeeIHddHJy8vf3X7ly5enTp7du3cq8uH79+u+++87Z2Zmj2kOHDhFCpk6d+uqrr7JDLiiK8vHxYZ5x7ty5kxBSVVU1Z84c5t1ly5aZPk8JIWTfvn2EkDlz5hiO6qAoytvbe/Hixb6+vsxaQoSQgwcP/v3vf2+rns2bN7OjZCZNmvT6668bjjqSyWRDhgz5/PPPt2/ffvr0aULIpUuXJk6cGBISwp2e0Raw0um0W2hoqFgs1ul0dXV12dnZAQEBhu/q9XpmYAohxKyn1EOHDl2xYkWvXr2avS6RSLp27frss88+/fTTq1atunXrFiEkMTFx8uTJHh4eRqs1t3ltnyRfHWqlBrTE/fv32Xk4Xn755ZkzZxq+KxaLlUqlUqkcPHhwVFTU0aNH230gK5275V2j0+nWr1/Pbr733nsjRoxgN+VyeUhIyOeff7558+aff/6ZGX/QFps1JsMRmtR0zPgPRr9+/Xip0was0YnMsnrR0dGTJk1iX3R2dg4MDNy8efOiRYtKSkoIIUlJSe7u7pcvX+7Ro8eGDRvYlZgIIUqlcsaMGT4+Phs3bmReOXbsGLvyHQAAAAAAAAAAAAB0JhgoAwB2M2HChD179tTX1xNCdu7cOWbMGCcnp3bU8/PPP5eXl7N1Go6SMRQREfHgwQPmWZparT548KDRB2ChoaGGgxhaJRKJWo1NFB4ePn369Fbfmjx58pEjR0pLSwkhp06dioqKajWTnJycixcvMvGIESMWLFjQajGRSLR48eKsrKy7d+8SQjZt2vTll19ynxoxrQX4PR1LSCSSSZMmHTt2jBBy/Pjxt99+2/Dd27dvM5NeiMVio/MJGYqKiuIuIJVK33///blz5zLrXp08edLEZ6vmNq/tk+SlQ63XgO2WnZ3NxtzDkuRy+YwZM9p9IOudu4Vdc+bMGebeyyRpOKSDJRKJYmNj7969yy5Y1iqbNSbDEZrUdExKDF9fX17qtAErdeLEiRMNR8mwnJ2dFy1atHr1amaTGRT14YcfGo6SYY0bN+67775jxp7++OOPJl489fX17Kx1bWFXfeJYIRGYVbR0Oh1ayXEYLutG0zS63nE0NTURdLqDabaMo1arNXFhRxC4Zgtl0rSN1tLt3PRtL2PqgGhiu9bAx3XLMfcEfKR3KIa/CPDpzqHgI70DYjqdpdVqeX/EA8JE//XpVAidzt5zaD4+M2OgDADYjVgsjo6OZr66rVKpTp48+dxzz7Wjnv3797Pxq6++ylFyxowZhw8fZn6dHzx4cMaMGdxDW6Kjo6190+eYh4OiqMjISGbeGrVaXVFR4enp2bLY3r172Tg2NpYjYYqiYmJili5dSggpLS29d+9e7969udMztwUsPx0LPfPMM8xAmXPnzi1atEgmk7FvsVNZPPvss5as89UqhUIRGRnJPH81/cG8DS4wQ+1I0mYd2r4GbDd2aJ1MJmvf+Dwete/cLewa9rYpl8s5brwURS1evJi5abRFUI3J6OhNarrq6mo2tvY8TDbWjk6cO3duW28NHjzYcDMyMrKt5qIo6tlnn42LiyOEVFdX19bWtjqeppkHDx4YXdCQmfJHq9XW1tYardDBNTU1oZUcE03T6HoHhE53WOzCndDRNTY2Gm7qdRgowwOdTod/2rPad1G178GJRqPBLyZeaLVa5qsC4Gh0Oh1+iByNXq9Hpzusuro6e6cAtiaETmf/luRloIzZkx8AAPBo7Nix7OPGr7/+Wq1Wm1tDWVkZ+5X68PBwhULBUdjZ2fn5559nYq1Wy8yt0hZvb++ePXuam49ZwsLCuJ/ABQUFsXFFRUXLAg0NDampqUz8+OOPG32e179/f7lczsS//vord2FzW8Dy07Fcr169unbtysQpKSns6yqV6vLly0w8YcIEaxw6LCyMCSorK025km1wgbVkVpI27lBzG9AS7Hmp1Wp2FhA7MvfcLeya8vJydnTL1KlTuceN9e/f383NjaOA0BqT0aGb1HSGjyUkEiP/Sa+pqXmB082bN3nJii9mdeKwYcM4PgA4Ozt369aN3Xzqqac4qjJctq+qqsqkXAEAAAAAAAAAAACgQ8FAGQCwJ2Y9ICZuamo6fPiwuTXk5+ez8ZgxY4yWf+yxx9g4JyeHo+TYsWPNTcZcw4cP5y6gVCrZuNXHdYZjfUxJmKKokJAQJs7MzOQubG4LWH46lqMo6sUXX2RiZpktxpUrV5jA29u7V69e1ji04dkZTvPQFhtcYC2ZlaSNO9TcBrTEgAED2Pijjz6y+/dZzT13C7vG8L4xbNgw7qooinriiSc4CgitMRkduklNZziFT7O5T1ul48TLGHwemdWJQ4cO5S7Qo0cPNu7evbuJx8VAGQAAAAAAAAAAAIBOCbM4AoCdDR06tGfPnvfv3yeE7N+///nnn3dxcTF9d2ZHhuFjsLb4+PiwcV5eHkdJo8sSWc4wmVY5Ozuzcatzlt67d4+NfX19TTlo7969k5OTCSG3b982WtKUClmWnw4vRo8evaxYlbsAACAASURBVH37dkLI3bt3S0tLmQlmEhISmHdffPHF9q12RNN0QUFBRkbGjRs37t+/X1xc3Gz5VcMVeWtqagxnL2iVNS4wfpPkt0N5b0BL+Pv7s7edtLS0mTNnjhkzZuLEif369eOelap9eD93C7umsLCQjb29vbmrIn8tGdMWGzcmo3M3qekMZ6bpcEM6+O1Eo13MXo1SqZR79h2pVMrGzZYSAAAAAAAAAAAAAIDOAQNlAMDOKIp64403VqxYQQihaXrv3r2vv/666bsXFRWxsSmLWRiOwjEcZNOSh4eH6Wm0j+HTuPYpKChg4zfffFMkEpG/VuajaZoNCCF6vZ4JdDodU762tpamaY5RI+a2gOWnwwtXV9dHHnnk2rVrhJCzZ8/OnDmzqKiIfYw9evTodtSZkpKyc+fOkpISE8ubMgyI9wuM9yR57FBrNKAlKIpas2ZNTExMQ0MD88qlS5cuXbpECPH09BwxYsTw4cODgoLMGrTXFmucu4VdY3jbNGUsi5eXF8e7tmxMRqdvUtOxK82R/51frVVubm5Hjx5t9uKRI0fi4uJ4ScYstr9fMb8fCSEymczEg5qud+/ex44d4y6zatUqQohcLn/ooYd4T6DTqK+v12g0UqmUxzsGCJxKpWLXVhOJRO7u7vbNB2ymsbGxtraWoigb/M0FAtHU1FRTU8Nuurm5GV04EjqEBmdnw8HO3IuQgonw02GofRdV+74ipVAo8HHdQnV1dVqtViaTWe+bMyA0TKczsUQi4WuxaRA+jUZTX18vFosNp+aFzk2r1dbV1bGb7u7u7D/coHPT6/XMtzSF0Ons/4F5yQQfuwHA/gYNGhQQEJCVlUUIOXbs2PTp003/h6nht71N+VeC4a2z2ZfXm+kQ/5hgn0wTQtjHDHzpEC3QqhdeeIEZKHPkyJGXXnrp9OnTzOvDhg3r0qWLubXt2rXr+PHjPKfId/NaKUleCDM3b2/vr7/+Oi4ujr08GOXl5UlJSUlJSYSQYcOGzZs3z8S5mlolzHM3HHNgyqdJo0MQbNOYDAdpUhMZzqOWm5vbjhrs8iTDvp1ojb/lnJycuJdzYo9LUZTd/5gUMvZ5BlrJcTR7iIWudxz4eXdALX/e0fudQ/PhCO0anQDNoBHtBR/X+YKWdCj4SO+w8JHeAeEjPQih0/lNoKM+BAWATmbx4sWxsbFMHBcXt3TpUhN3dHJyYmN2rhQOhks5CGQGFEt03LEsVjV48GBnZ2etVqtSqVJTU9kv+r/wwgvmVnXu3Dn2ga5IJJo8efLIkSN79Ojh4uIikUgoimI/HRYWFkZHR/N1Cp0mSSHnplAo3njjjaioqN9///3y5cvJycnNBs+lpqampqZGRkbOnTu3HV9HE+y5G64ipNfrjQ6V4B5TyLB2YzIcqklN0bNnTzYuLS1VqVTC/9KeYDsRAAAAAAAAAAAAABwHnrACgCD06dOHXS7n/Pnzr7zyio+Pjyk7duvWjY1ra2uNztVfX1/Pxobfxe+gDE9/3759WKqAIRaLJ0+efOjQIULIRx991NTURAiRSqXBwcFm1aPT6Xbu3MnEbm5uW7Zs4ZjryJRxWtYg5CSFnBtLoVCMGjVq1KhRNE1XVVXl5uZevHjx/PnzbD6HDh3y9fUNDw83q1ohn7vhfUOlUhmdH7W8vNzEmq3UmAzHbFJuMpmsb9++7FwyN2/eHDZsGC81t4pZv4+D0WYXcicCAAAAAAAAAAAAgOPAnEgAIBQLFixg4y+++MLEvXr16sXGhYWFRss/ePCAjf38/EzOTqD69OnDxqWlpXbMRGgiIiKYgBklQwh57rnnzF1kpLCwkB1Z9eabb3KvCGZ4admSkJMUcm4tURTl4eExdOjQJUuWJCYmRkVFsW/t2rXLcDIqUwj53A2nISkpKTFavh1r+vDbmAwHb9K2TJkyhY0TExP5qpZleNs0OnKlrKyMu4CQOxEAAAAAAAAAAAAAHAcGygCAUHTv3n3cuHFMfO3atbt375qyl6+vLxv/+uuvRssnJyezcb9+/cxL0Rij37bnnb+/PxtfvXrVxkcXsh49enTv3t3wlfHjx5tbyb1799g4MDCQu7C92l/ISQo5N24SiWTq1KnscCuVSlVRUWFWDUI+d8P7BjOPF7dffvnFksNZ3pgMNGmrRo8eza7Bd+vWraysLL5qZri5ubFxbW0td+GMjAzuAkLuRAAAAAAAAAAAAABwHBgoAwAC8ve//52Nt2/fbsqyC127dvXy8mLi06dPq9VqjsKNjY1Hjx5lYmdn5759+1qQ7H+IRP+9kbKTl9iMUqkMCgpi4oSEBNsnIGQvvvgiG/fs2bPZuBlTaDQaNuaejUaj0Zw6dcrc+nkh5CSFnJspRo0axcZGhwg0I+Rz9/LyYmfyOHz4MPedNicnp7q62vKDWtKYDDRpq5ydnefPn89ufvzxx1qtlq/KCSHsb1hCyJ9//slRUqvVnjt3jrs2IXciAAAAAAAAAAAAADgODJQBAAHx8PB49tlnmTgzM/Onn34yZa8ZM2YwAU3Te/fu5Sh5+PBh9indlClTDMe4tJtMJmNjuyx+NGfOHCZoaGjYvXu37RMQrKeffvroX3bs2NGOGgyfEOfn53OUjIuLs9coJSEnKeTcTGE48UmXLl3M2lfg587eNlUq1cmTJ9sqRtP09u3beTmiJY3JQJO2ZcKECf3792fikpKS999/n8exMt7e3hRFMTE70rRV33//vdFFtQTeiQAAAAAAAAAAAADgIDBQBgCE5eWXX2bjQ4cOmbLL008/zX6V/8iRI219B/3ChQvfffcdE0ulUsPpRiwhkUhcXFyYOCUlhZc6zTJo0KAxY8YwcVJSUlxcnNGZeMrKyvbs2VNfX2/97Do2Pz8/Nt66dWurT21pmv7++++TkpJsmNf/EHKSgs0tISEhPT2d+yeloaFhz549TCyTyQwf8JtCsOfOiIiIUCgUTLxz587r16+3LMMM6cjJyeGuygaNyXCcJjUXRVFr165l10i6ceNGdHR0dna20R01Go3RxZLEYjH7KyYzM/O3335rtdjPP/+cmJho9IgC70QAAAAAADCFrJv/Ix+d7dInxN6JAAAAAAC0HwbKAICwuLq6zpo1y6xdxGLxP//5T3Zz27Zt69evz8vLY57A6XS6e/fubdy48ZNPPmHL/OMf/zCcCcZC4eHhTJCZmXns2LHa2lqapvmq3BSxsbHsukJHjhyZPXv2iRMniouL2UkF9Hp9fX19Xl7eyZMnlyxZEhUVlZiYaPSr/+Dq6jp69GgmLigoWLx4cVpaGru8l0qlSktLW7p0aXx8PCFk+vTpSLKj5Hbnzp2VK1fOmDFj165daWlpFRUVjY2NzFs6na6ysvLcuXPz58+vrKxkXoyOjmYn1TCRYM+dIZFIVqxYwW6+//77O3bsKC4uZm4LWq321q1bS5cuZcYdTpkyhaMqGzQmw3GatB26dOmybds2Hx8fZrOsrGzp0qVvvPHGmTNnCgoKGhoa2N9KjY2N1dXV6enp27Zte+mll3799Vejlc+ePZuN169fv2/fvqqqKqZCjUaTnZ29evXqTZs2icVioyNQBd6JAAAAAAAAAAAAAOAgJPZOAACguRdeeCExMdGsNRf69++/Zs2aNWvWMI8kf/vtt7a+9U4Iefvtt4cOHcpDon+ZOnXqsWPHmHj37t3M+kcikYh9GJyYmCiRWPF+K5VKP//883Xr1qWnpxNC6urqdu7cab3DOZSYmJi0tLS6ujpCSFFRkeGQLEOLFy8ODQ09cOCAbbP7DyEnKeTctFrt8ePHjx8/zl1swoQJTz75ZDvqF/K5E0JCQ0MXLlzIrkqWlJTU6hweMTEx/v7+P/zwA3dt1m5MNhnHaVJzKZXKrVu3fvHFF2fOnGFeyc/P37x5syn7enh4zJ8/Pzg4uNV3fXx8Zs2atW/fPmZz3759bGzoo48+0mq1RueVEXgnAgAAAAAAAAAAAIAjwIwyACA4Mpns1VdfNXevsLCwr7/+OjAwkKOMr6/vrl27nnjiifYn15quXbu+++67zeZI0Ov1ur/we7hWyWSyDz744L333lMqldwlKYqKiIjYsmWLq6urDRLr6BQKxY4dOwICAtoqIJPJVq9ePWHCBFtm1YyQkxRybka5urouW7Zs0aJF7ZsBRfjnPnHixA8//JBdPK4ZiUSycuXK8ePH83IsCxuTgSbl5uzs/Oabb27btm3kyJEm7jJo0KD169f/+9//Hj16NEfXzJw5Mzo6uq13vby8tm3bNnDgQFOOKPxOBAAAAAAAAAAAAIBODzPKAIAQPfPMM999911DQ4NZe3l4eHz88cclJSWXLl26efPmrVu36urqFArFwIEDg4ODR40a1atXLyslPHr06P3791+5ciUlJeXu3bvFxcVmzYjDC4qiRowY8e233+bn56ekpGRnZ2dlZVVVVRFCvL29e/fu3a9fvyFDhgQEBDg5Odk4tw5NqVRu2LAhOzv73LlzGRkZBQUFhBBvb+/g4OCRI0eGhYUJoT2FnKQAc1u+fHlpaWl+fv7du3f//PPPoqKi0tLShoYGvV6vVCp9fX2Dg4PDwsICAgJEIouGFAvw3JsZNGjQd999l5KScuXKlevXr1dVVbm7uw8YMGDMmDGPPfaYKUvU2awxGY7QpBbq3bv3ihUrGhoasrKy/vjjj6ysrKKiovLycr1eL5fLe/To4e/v36tXrwEDBvTr10+hUJhSJ0VRkyZNGjt27IULF1JSUm7fvq1Sqby8vAYNGvTEE0+EhoaKxWLTMxR+JwIAAACAiUQuCrG7G7tJSeVE2vw7OVJK5CIW8fLngIOQip09FB27uQzH4IspsVQsbXdVEpGziDL7zyiKFsm6upt9LIXV/14DAAAAAOGgaJq2dw4AAAAAAACd1oIFC65evbpo0aKoqCh75yJcdXV1arVaKpVi0jvHUV9fz46MF4lEDz30kH3zAZvRarU1NTUURXl6eto7F7CRxsbG6upqdtPd3d2qyxODoJSVlRFClEolxkM7DhcXF5VKxcTvvffeunXr7JsP2ExNTY1Wq5XL5W3NtAqdT21trUajYWKJROLubvYYNeig1Gp1XV2dWCz28PCwdy5gIxqNpra2lt186KGHMBLaQej1+oqKCiKMTq+vr3/88ccJIQkJCX379rWwNlzBAAAAAAAAAAAAAAAAAAAAAOAQ8O0NAAA7yM7OXr58ORNv3769e/fu9s3HEajV6lmzZjFxTExMeHi4ffOxKlxgLVmpTUpKSq5fv37z5s07d+6UlJQw6w317t3b398/ODh44MCBSqWSlwOZwqEu8o6uw3VWh0u43XD/BAAAAAAAAAAAAOj0MFAGoAO4du2a4SSly5YtGzVqlB3zAV7odDomwBJ4hJBZs2ap1WomPnjwoJVmb2PbXK/XW6N+QcEF1hK/bZKbm7t169acnJxmr5eWlpaWll67du3QoUOEEF9f3+eff37MmDEKhcLygxrVmS5yw9tCM2Kx2NXVtU+fPn379h0+fHj//v3FYrGN07Mcj52FWyi/cP8EAAAAAHsp/Xp//e/p9s7CJF3H+8mVla2+Remb2PjHm6UP9l4zpcLIR/QRA0NElJSf/AAAAAAAOGGgDEAHcPDgQfaZDSEkISEBA2Wgk9HpdIYXOYCQ0TS9f//+ffv2mVI4Pz9/69at8fHx33zzjbUT62Q4bgs6na68vLy8vDw1NTUhIUEuly9YsODJJ5+kKMrGSQoEbqEAAAAAAJ2D5m6B6vcb9s7CJPSjctKY28ab/x1bX1SruVpQZUqFYweIDXcEAAAAALAqDJQBELrq6ur09P/5Kklubm5ZWZmXl5e9UrKNmpqauXPnMjEm0QEA4Th+/LjhKJmQkJBp06b169evS5cuIpFIr9fX1NTk5+efO3fu7NmzdszTBgRyo25oaNi0adPZs2fXrFkjkeDDLQAAAAAAAAAAAAAAcMGzBAChu3DhQssXz549O2PGDNsnY2NY+wAAhObBgwe7d+9mN1evXv3II48YFhCLxR4eHh4eHqGhoQsWLDh27Fh8fLzN07Qd29yoDx8+bLi4Ek3TGo0mPz8/Pj7++vXrzIvp6elbtmx56623rJcGAAAAAAAAAAAAAAB0AiJ7JwAAXGiaTkhIYOKgoKCwsDAmPnz4sF6PyUgBAGwtMTGRjd94441mo2SakclkL7744t69e5988knrp0ZkMtnRvzz99NM2OKLNNFtTiaIomUwWEBCwZs2a+fPns6//8ssv2dnZNs8OAAAAAAAAAAAAAAA6EgyUARC0P//8s7q6momnTZs2ZcoUJlapVFlZWfbLCwDAEdE0febMGSYWiURPPfWUKXspFIp58+ZZMS3HNnny5GHDhrGbhw4dsmMyAAAAAAAAndsdVW3oxWPXqsvtnQgAAAAAgEUwUAZA0I4fP87GDz/88JAhQ0Si//zY/vDDD3ZKCgDAQdXU1LCzeQUFBRkuBgR2NHv2bDa+fPkyVusDAAAAAACwEpqQJlqPP7oAAAAAoKOT2DsBAGiTVqtlpy4IDw93dnYmhEyYMCEpKYkQcvnyZZVKpVAo2lGzTqe7fv36hQsXbt26VV5erlQqg4ODx48fHxoa2mx5C0JIRUXF+fPnk5OT8/LyGhsb+/TpM3z48IiICKVSaeLhSkpKrl69+vvvv+fl5ZWVlYlEoq5du/bt23fw4MFhYWHe3t7tOAVT6HS6GzduXL9+/ebNm/n5+U1NTZ6eniEhIQ8//PDw4cOZ9jS3wvT09MuXL9+8ebOkpKSpqSk4OHj9+vWtlrx69eqVK1fS0tIqKyvd3d0HDhw4atSoRx991Nzj0jSdn5//xx9/3Lx5886dOxUVFRKJpFevXgMGDBg6dOiQIUPacSJskra8DHhkgyvKes1O03RGRsaFCxf++OOP8vJyuVw+cODA4cOHjx071vQfZx4vMLMyt0ab8NIgxFZt0tDQwMZubm58Vcuw3lVnyqF56QV78fX1Ndysrq52d3c3fMWObSs0uH/a5f4JAAAAAAAAAAAAAIKCgTIAwpWSksLGkyZNYoJnnnmGGShDCLly5Up4eDh3JQ8ePIiOjmbitWvXhoSE5Obmrlq1qqamhi1TXl5+8eLFixcv+vn5/etf/3J1dWVe1+l0X3755YkTJwwrzMzMzMzM3LNnT0xMzPjx47mPXltb+9lnn6WmpjZ7vaCgoKCg4Pz584SQoKCg1157bcCAAey7ixYtKioqMpwS4OOPP2an0jGUmJgokbRyH6Np+uTJk3FxcRqNxvD1wsLCwsLCU6dOicXi+fPnP/PMMy1HhDBatltWVtbatWsN240Q0tjY2HLf27dvr127tra2ln2lrKysrKzs8uXLUql0xYoVjzzySKsHbaa+vv6nn346cOBAs4NqtdqsrKysrKwTJ05QFLVo0aKIiIi2TqSt07HlZcCj9l1RZrFqsxcXF69ataq4uNiw2uTk5OTk5O3bty9dunTcuHFGM+TrAjMdX21ipQYhNmwTwxvO3bt3eamT8NfCarV61qxZTBwTE9PqLwi+esHyGzWPxGKxQqFQqVTMZn19PTtQhsef6IsXL3766adMHB8fzz0yIz09fdWqVUy8a9eurl27tu/UeIT7J7HH/RMAAAAAAAAAAAAABAhLLwEIV2JiIhMoFAr2qZW/vz87jUFCQoLRSmia1v2FEJKenr5kyZJmT7BYeXl5sbGxWq2WENLU1PTuu+82Gx5haMuWLT/99BPHoaurq19//fWWz+SauXXr1tKlSw3naWCyZdc3aXYWhlqtUKVSLVu2bMeOHc1GyRjS6XQ7duxYt25dW5U0a7fU1NR33nmnrXYzdObMmWXLlhk+hDOk0WhWr17NPI80avny5XFxcdwHpWl627Zta9asMWyuVovZ6zLgUbuvKLNYr9lzcnIWLFhg+JS3WeFPPvmEHQbXFh4vMNPx1SbWaBBi2zYxnEKpqKiotLSUl2p5vOrYFm6rGF+9YOGN2mas9xNtFFtYCEtB4f5J7HT/BAAAAAAAAAAAAAABwowyAAJVVlaWm5vLxFOmTGG/eE1RVGRk5L///W9CSGFhYVFRUffu3U2s8/fffz948CAhZNiwYa+88krv3r2dnJwaGxtzc3M3bdpUWFjIHPerr75auHDhxo0bs7KypFJpVFTUY489plQqKYqqqak5efJkfHw8U+GWLVtGjhzZpUuXVg+3Zs0a9vv9I0eOjIyM7Nmzp0KhoChKr9fX1dUxX2E/depU+5qoVRqNJjY29sGDB8xm165d586dO2TIEDc3N4qiNBpNVlbW7t278/LyCCGpqakbN25cvnw5d51Xr149fPgwIaR///7z5s3r37+/XC6nabqkpOTy5cuGJTMyMjZv3sxuPvXUU9OnT/fx8RGJRGq1OicnZ9euXXl5eRs3bpw2bZqJZ+Tn5/fcc88FBQV5enrK5XJCiE6nq6ysTE5O/uabb9RqNSHk2rVr8fHxs2fPNqVCG18GPLLlFcV7s2dkZCQmJtI0HRgYOGfOnL59+zJXUVlZWWJiIpvzjh07Ro4c2WzVGMNKeL/ATMdvm/DSIMTmbeLk5BQYGJiZmclsrlu37sMPP3RxcbG8ZmKFq84ovnrB7nQ6HXtzIIS07BHbt63Q4P5p3/snAAAAAAAAAAAAAAgKBsoACNTZs2fZ+MknnzR86/HHH2cGyhBCTp06NW/ePBPrZKaoiY6OZhdyIoQ4OzsHBgZu3rx50aJFJSUlhJCkpCR3d/fLly/36NFjw4YN7BI8hBClUjljxgwfH5+NGzcyrxw7doxd6cPQ/fv3c3JymPjll1+eOXOm4btisVipVCqVysGDB0dFRR09etTw3Z07dxJCqqqq5syZw7yybNmysWPHmnKOmzdvZkfJTJo06fXXXxeLxey7MplsyJAhn3/++fbt20+fPk0IuXTp0sSJE0NCQjjqPHToECFk6tSpr776quGIJR8fH8PHaTqdbv369ezme++9N2LECHZTLpeHhIR8/vnnmzdv/vnnn5mhKtyGDh26YsWKXr16NXtdIpF07dr12Wefffrpp1etWnXr1i1CSGJi4uTJkz08PIxWa8vLgEeWXFFmsVKz79u3jxAyZ86cadOmGV5F3t7eixcv9vX13b17N/PiwYMH//73v7esgfcLzHTWaBPLG4TYqU1efvlldkmdu3fv/u1vf4uMjAwPD+/Rowf3UjIcrHTVGWVJL1hyo+ZdQUGB4abhxD/2altBwf3TjvdPAAAAAAAAAAAAABAgLL0EIER6vZ4ZnEEI6dGjh4+Pj+G7np6effv2ZeLjx4+btbDFxIkTDYdHsJydnRctWsRuMg+lPvzwQ8PhEaxx48Z169aNiX/88cdWD5Sdnc3G3F/OlsvlM2bMYL50bkgkErUac8jJybl48SITjxgxYsGCBYajZAxrW7x4sb+/P7O5adMmo+tihIaGGo6SadWZM2fq6+uZOCoqyvAhnOGhY2Nj2e7jFhUV1fJxoyGpVPr+++9LpVJm8+TJk6ZUS2x4GfDI8ivKRNZr9vDw8OnTp7d6FU2ePLlr165MfOrUqVYvSN4vMNNZqU0sbBBipzZ5+OGHR44cyW7qdLrExMSFCxdGRkZ+8MEHP/zww61bt9pa26Ut1rvqjLKwF9pxo7YGdoIrQsijjz5qeDp2bFvhwP3TjvdPAAAAAAAAAAAAABAgzCgDIES3b99uaGhg4unTp7csMG3atA0bNhBCtFptRkZGaGioiTXPnTu3rbcGDx5suBkZGdnW97wpinr22Wfj4uIIIdXV1bW1tS0HUpSXlzOBTCZzcnIyMT0L7d27l41jY2M5xrVQFBUTE7N06VJCSGlp6b1793r37s1Rc3R0tNG5Ivbv388Ecrn8ueee4zj04sWLmUNbTqFQREZGMiNaTp48aeK0Lja7DHhklyuqLe1r9ramRSF/LanGTNGhVqsrKio8PT2blbHLBWa6drSJhQ1C7Ncmy5cv37VrV1JSkuGLOp0uOTk5OTmZ2fTy8oqIiAgPD/f29ubloO276oyyvBfs7tSpU7/99hu72Y51c6zUtsKB+6e17xV//vmn0WWkmCFEKpWK7Q5oi0aj0Wq19s4CbMRwcJter8cPiKOhaRqd7rCqq6vtnQLYWk1Njb1T6Bg60AehpqYmfitsbGqsrKwktMp4URAq5tOdWq1mVt0FR9PU1IRPd45Gp9Oh0x1WZWWlvVMAWxNCp6tU//msqNfrLa8NA2UAhMhw4YPHHnusZYHhw4ez8aFDh0wcKDNs2DCFQtHWu87Ozt26dWPXLXrqqac4qgoICGDjqqqqliMk2FfUanV9fb2Li4spGVqioaEhNTWViR9//HGjgzb69+8vl8uZAUm//vorx0AZb2/vnj17ctdWXl7OfiKcOnVqqzPZGB7azc2Nr38ShYWFMU8cKysr1Wq1TCbjLm/Ly4BHtr+iuJnb7GFhYdztExQUxMYtH/Ta8QIznVltYmGDELu2iVgsXrhw4cSJE7/++uvr16+3WqasrGzv3r179+4dNmzYkiVL3NzcLD+uuVedKRVa2At2pNVq7927t2/fPsNRMqNHjw4MDGxHbby3raDg/mntewVN00b/C8yOBjA6iR0QtJIDQ9c7IHS6w0LXOyB0uok6UENZI1WapknHaQFoSwe6jIF36H0HhE53WOh6BySETuc3Byy9BCA4KpXq8uXLTBwWFtalS5eWZWQy2ejRo5n4+vXrJi7zMXToUO4CPXr0YOPu3btzlFQqlWxcVVXVssCAAQPY+KOPPmKH+FnP3bt32Xjs2LFGy1MUFRISwsSZmZkcJU2pzfDow4YNM3roJ554wmidJjLsC1O+lmfLy4BHtr+iuJnb7IaD24xW2LIx7XiBmc6sNrGwQYgA2sTf33/NmjV79ux55513RowY0dbT99TU1Dlz5ty8edPyI5p71RlleS/Y4tvm0AAAIABJREFUTGRk5AsGnn/++enTpy9ZssRwlExAQMBbb73Vvvp5b1tBwf2TjQV7/wQAAAAAAAAAAAAAW8KMMgCCc+XKFTaeMmVKW8UmT57Mjqe5ePHipEmTjNbcrVs37gLsRCNSqVQi4bo/SKVSNm5sbGxZwN/fv2fPnvfv3yeEpKWlzZw5c8yYMRMnTuzXrx/HdCaWuHfvHhv7+vqaskvv3r2ZdVJu377NXcxoVYWFhWxsykor/fr1MyFBQgihabqgoCAjI+PGjRv3798vLi7WaDSGBQynF6upqTHay7a8DHhk4yuK92b38fHhLuDs7MzGLWdatt4FZjp+28TCBiHCaBNCiFKpHDdu3Lhx42iarq2tLSwsvHHjxpkzZ5hrlaHX6//xj3/s3r2bu014v+qMsrwXbIZ7HkWJRPLaa68988wzIlHrQ8Bt37aCgvsnG9vxXgEAAAAAAAAAAAAAwoGBMgCC8/333zOBSCQaMmRIW8UCAwOdnZ2ZB0IHDhyYOHEiRVHcNRsOa2gV+4jR8lUnKIpas2ZNTEwMs7YRIeTSpUuXLl0ihHh6eo4YMWL48OFBQUE8LgBRUFDAxm+++SZzLswcXDRNswEhRK/XM4FOp2PK19bW0jTdVgN6eHgYPXpRUREbm/Lc0cvLy2gZQkhKSsrOnTtLSkpMKUxMe5Jty8uAR7a8ouzS7NysdIGZjvc2sbBBiADapBmKotzc3Nzc3AIDA6dNm1ZcXPzFF19cu3aNLfDhhx9u2rSprd2tcdUZZXkv2JGLi4u/v3///v1HjBgRGBjo5OTUVkm7tK2g4P7Jxla6V3h4eERHR3OXuXDhAiHEycnJSsOFOwetVtvU1CQWizv03QnMwnQ6E1MUJZfL7ZsP2IxOp2OGUeKu6Dj0er3hSoUymaytIc7Q+TAzGkqlUu5FMIFRL5FojJcSBN47VCwSy+Vyigjon1FgLo1Go9PpJBKJ4fcZoHMz/EgvEokE9f9ksKqmpiatVou/4xwK+3ccQy6XG30oCZ0DTdPMP5Y7X6djoAyAsNy/f599ojNhwgSO+TzEYvHkyZMPHTpECCkrK8vPz/fz8+MrDV7+Y+Xt7f3111/HxcWdPn3a8PXy8vKkpKSkpCRCyLBhw+bNm2fiBDDc2Od/hBDDf8BZjntWFYbhoz5TWs+UJ0C7du06fvy40WLWI7R/XNrmirJ7s7fKGheY6dAm7eDj47N69epvvvnm4MGDzCu5ubmFhYWGS5uxhNnCgnL48OH2/RMWbcvA/ZNhpXuFh4fHa6+9xl0mJSWFYKCMMXq9vqmpSSKRoJUcB03ThgNl0PWOQ6vVajQadLpDaWxsbDZQxpQ/tKFzYAbKyGQyjtHtwOpAw4l4/6+RSCSSy+UiCg9cO7CmpiadToc/fByKTqczHCiDrnccarVaq9Wi0x2KRqNpNlBGaI+QwEr0ej07UMbunc7Mg0B4+iyKP0oBhOWnn35i46SkpGYPtJoxXLzgxx9/XLhwoRUzaxeFQvHGG29ERUX9/vvvly9fTk5Obrb+QmpqampqamRk5Ny5cy0ch2jf/7IZfk9Cr9cb/b9Gs3Zo6dy5c+zjRpFINHny5JEjR/bo0cPFxUUikVAUxTZXYWGh0S+ydxrWvqIE2+y8X2CmQ5tYYvbs2T///HNlZSWzefPmzZYDZQTbwoLSvl8QaFtDuH8SAd8rAAAAAAAAAAAAAMCWMFAGQEB0Ot3Ro0ebvWLivqdOnXrttdeE+e0chUIxatSoUaNG0TRdVVWVm5t78eLF8+fPs2d36NAhX1/f8PBwS47SrVs3Nt63bx+PizqZe3SVSqVUKrnLl5eXc7yr0+l27tzJxG5ublu2bOFY/sn0i6TTsNIVJeRm5/cCMx3axEIikWjSpEnx8fHM5p9//tmsgJBbuKOzatuy49b5qtBmcP8U5r0CAAAAAAAAAAAAAGwJcyIBCEh6ejo7UaG59Hr99evX+c2HdxRFeXh4DB06dMmSJYmJiVFRUexbu3btMpwgpx369OnDxqWlpZZU1Q49e/Zk45KSEqPlc3NzOd4tLCysr69n4jfffJPjcSMh5MGDB6bl2Anxe0UJudn5vcBMhzaxXK9evdjYcIU4hpBbuKPjvW0NZyIxOtSjrKzMhBztCffPttjrXgEAAAAAAAAAAAAANoMZZQAE5ODBg2y8f/9+UxZ31Ol006dPZ57YHThwYMSIEVbMj1cSiWTq1Kn37t1jlpdSqVQVFRVeXl6tFjb63X1CiL+/PxtfvXrVcNMGDA937dq1AQMGcJf/5ZdfON69d+8eGwcGBnJXdfXqVeP5OQCzrqhWCbnZ+b3ATIc2sVxdXR0bt5zKQsgtbC5TbtS2xHvburm5sXFtba3hZksZGRlGKxQO3D8N2eteAQAAAAAAAAAAAAA2gxllAISipqYmLS2NiYcNG2bKKBlCiFgsjoiIYOLMzMzKykpr5Wcdo0aNYuPa2lrDt0Si/96gTJloR6lUBgUFMXFCQkK75+ZpHy8vL/YL9IcPH+aebCAnJ6e6upqjgEajYWPDOQxaLXnq1ClzMu3kOK4oo4Tc7PxeYKZDm1guJSWFjQMCApq9K+QWNoW5N2pb4r1tDQeOtFxFy5BWqz137pzxFAUG909i13sFAAAAAAAAAAAAANgMBsoACMXFixfZeNKkSabv+PTTT7Nxh/sadEVFBRt36dLF8C2ZTMbGJi6lNGfOHCZoaGjYvXs3HwmaYcaMGUygUqlOnjzZVjGaprdv385dleHj2Pz8fI6ScXFxQns4bV8cV5RRAm92Hi8w06FNmlGpVEeOHGlsbDSxfGFhYXJyMrvZcqYNgbewUe24UdsM723r7e1NURQTHz16lKPk999/b+FignaB+ye/908AAAAAAAAAAAAAECwMlAEQBJqmExIS2M0hQ4aYvm+/fv2kUikTHzx4UCCLXyQkJKSnp3N/b7uhoWHPnj1MLJPJmq3yIJFIXFxcmNhwSgYOgwYNGjNmDBMnJSXFxcVxJ0AIKSsr27NnT319vSn1c4uIiGDnAdq5c+f169dblmEewuXk5HBX5efnx8Zbt25t9ZkiTdPff/99UlKSBSl3JJZfUUYJvNl5vMBMhzZpKS4ubtasWQcPHlSpVNwli4uLly9fzm6OHDmSndaCJfAWNqodN2qb4b1txWIx+ysmMzPzt99+a7XYzz//nJiYaH6+VoT7p13uFQAAAAAAAAAAAAAgWBgoAyAIeXl57KpJo0ePdnZ2Nn1fkUg0YcIEJq6trRXIM547d+6sXLlyxowZu3btSktLq6ioYOdg0Ol0lZWV586dmz9/PnvW0dHR7Df1WeHh4UyQmZl57Nix2tpao8OAYmNju3fvzsRHjhyZPXv2iRMniouLtVot86Jer6+vr8/Lyzt58uSSJUuioqISExN5+eq/RCJZsWIFu/n+++/v2LGjuLiYqVyr1d66dWvp0qXMkhNTpkzhqMrV1XX06NFMXFBQsHjx4rS0NLVazbyiUqnS0tKWLl0aHx9PCJk+fbrlyQsfL1cUN4E3O48XmOnQJq3SarXffPPNzJkzP/jgg0uXLt2/f59tE5qmVSpVZmbmpk2b5s+fX1NTw7zu6uoaGxvbsiqBt7Ap2nGjtg1rtO3s2bPZeP369fv27auqqmLOV6PRZGdnr169etOmTWKx+MUXX+T5fCyA+6e97hUAAAAAAJ1Pf4XrjXFThio97Z0IAAAAAIBFJPZOAAAIIeTEiRNs/Mwzz5i7e3h4OLsMxLFjx95++23eMrOMVqs9fvz48ePHuYtNmDDhySefbPn61KlTjx07xsS7d+9mVlMSiUTsA7zExESJ5H/uY1Kp9PPPP1+3bl16ejohpK6ubufOnZafiIlCQ0MXLly4Y8cOZjMpKanVr87HxMT4+/v/8MMPHFXFxMSkpaXV1dURQoqKiv75z3+2Wmzx4sWhoaEHDhywOPeOwcIryiiBNzuPF5jp0CYckpOTDVdWaouHh8cnn3zCTmjRMjcht7BR7bhR2wzvbevj4zNr1qx9+/Yxm/v27WNjQx999JFWqxXavDK4f9rxXgEAAAAAAAAAAAAAgoIZZQDsT6vVnj59mokpigoODja3hj59+sjlciY+d+4c+x1u4XN1dV22bNmiRYta/fJ6165d33333WZv6fV63V9arVMmk33wwQfvvfeeUqnkPjpFUREREVu2bHF1dW33KTQzceLEDz/8kF2LpBmJRLJy5crx48cbrUehUOzYsSMgIKCtAjKZbPXq1exkQsDgvqKMEn6z83WBmQ5tYkihUMTFxUVFRfXs2dOU8nK5/PXXX//yyy+7du3KUafAW5hb+27UtmGNtp05c2Z0dHRb73p5eW3btm3gwIHmJSoMuH/yfv8EAAAAAAAAAAAAAGHCjDIA9nft2jV2oYonnnjCycnJ3Booipo0adLBgweZzZSUlLFjx/KZovmWL19eWlqan59/9+7dP//8s6ioqLS0tKGhQa/XK5VKX1/f4ODgsLCwgIAAkYhrxN7o0aP3799/5cqVlJSUu3fvFhcXNzU1GT06RVEjRoz49ttv8/PzU1JSsrOzs7KyqqqqCCHe3t69e/fu16/fkCFDAgIC2tHaRg0aNOi7775LSUm5cuXK9evXq6qq3N3dBwwYMGbMmMcee0wmk5lYj1Kp3LBhQ3Z29rlz5zIyMgoKCpj8g4ODR44cGRYWZo3kBYuvK8oo4Tc7XxeY6dAmhry8vKZOnTp16tTa2trs7Ozbt2/fvXv33r17Dx48aGxslMlk3bt379WrV//+/UNDQ319fcVisdE6hd/C3Np3o7YN3tuW+YU7duzYCxcupKSk3L59W6VSeXl5DRo06IknnggNDTWlx20M90+W7e+fAAAAAAAAAAAAACBAFPt4HgAAAAAAAHi3YMGCq1evLlq0KCoqyt65CFddXZ1arZZKpTxO9QcCV19f39DQwMQikeihhx6ybz5gM1qttqamhqIoT09Pe+cCNtLY2FhdXc1uuru722t1TrC9srIyQohSqbT7sOkOQZ3zZ1NFpb2zMInU01nSpfUnC136jFA1/Ge663lvvPP6W/8wpULfh5p6untRRHDfPQDT1dTUaLVauVze1lye0PnU1tZqNBomlkgk7u7u9s0HbEatVtfV1YnFYg8PD3vnAjai0Whqa2vZzYceesjCL91BR6HX6ysqKogwOr2+vv7xxx8nhCQkJPTt29fC2vBHKQAAAAAAAAAAAACAncn69yGkj72zsBj13ycovdxlo/piWCQAAAAACA6GegEAAAAAAAAAAAAAAAAAAACAQ8CMMgAAAAAADq2kpOT69es3b968c+dOSUmJXq9XKpW9e/f29/cPDg4eOHCgUqm0d45c1Gr1rFmzmDgmJiY8PNy++QAAAACYoqmyqu7XVHtnYXXqujpCCCWXi8ViQojYTer6sLtaJtUTvb1T41n2A5e75Wb8s921SSepUFsvHzvS6/+7JNM9VdXlB3comozUFNoxpbZU5pPy7P/P3p3HR1Wdjx8/d2aSTAbCJIZ9CwaIYQkRASUoWEFiWVQELFIVERcQRGwRWotFllrqwu+rrF/AplWMWMOiAgYQlS21hABiAoQAERIIWQnZJ7Pd3x+3vZ1vSCbbZCZhPu/XC17PvXPmnOfem0nuJM+cU+rpLOpK4+vT86kHPZ0FAADALYJCGQAAAMBLpaenr1mz5sKFC1X25+Xl5eXlnThxYvv27UKI7t27P/LII/fdd5/BYPBEmrWz2WxKYLffan9xAQAAtyrz1eyst9d4Ogs3Kf5PEDC0Z+tunUrad7XKRZ5MqAnsTxvwaWJF3ds/4OuTd/BSk6XjSVbLf+/JU25c+zjtqFbSDM3b58GUalKU1vXI6wmezqKufI2tKJQBAABwFZZeAgAAALyOLMtbtmx59dVXb66SuVlGRsaaNWteeuklNyQGAAAAAAAAAECTYkYZAAAAwOvs2rVry5Yt6mZERMSkSZN69uzZunVrjUZjt9uLi4szMjIOHDjw7bffejBPAAAAAAAAAABci0IZAAAAwLvk5ORs2rRJ3VyyZMldd93l2ECr1QYFBQUFBUVGRs6cOXPnzp2xsbFuTxMAAAAAAAAAANejUAYAAADwLnFxcWr88ssvV6mSqUKv1z/++OPjxo37/PPPmz61htDr9V999ZWnswAAAABufUUlV3ceeCN62Ovtg8M8nQsAAADQcBpPJwAAAADAfWRZ3r9/vxJrNJpRo0bV5VkGg2H69OlNmBYAAACAZk8Wwm63CSF7OhEAAACgUSiUAQAAALxIcXGx3W5X4j59+mi1Ws/mAwAAAAAAAACAO7H0EgAAAOBFKioq1LhNmzYezKSObDZbcnJyQkLCmTNncnNzrVZr375933rrrQZ0JctyRkbGTz/9dObMmYsXL16/fl2n03Xt2rV3796DBg0aMGCAr6+vy/MHAAAAAAAAADQrFMoAAAAAXkSn++9bgEuXLjWyt/j4+I0bNyrxqlWrunXrVutTbDbbk08+WVlZKYQIDw9fsWKF+lBOTs6sWbOUeNmyZREREWlpacuWLSsuLnbswWKxOG6aTKapU6cq8dy5c0eOHHnzoGVlZd98883WrVurdGU2m9PS0tLS0nbv3i1J0uzZs6OjoyVJqvUoAAAAAAAAAAAtFEsvAQAAAF7EaDSq8bVr1/Ly8hrT2/3332/7j6+++qouTzlx4kR5ebnylMcff9zxIVmW1d6EEElJSa+99lqV0pZqqc9SV5WqYuHChTExMc67kmV57dq1S5curakTAAAAAAAAAMAtgBllAAAAAC/i4+MTHh6empqqbC5fvnzFihWtWrVqWG8Gg+GBBx74/vvvhRB79+597rnn9Hq986fExsYqgZ+fX2RkZE3Njh8/vmPHDiFEr169pk+f3qtXL39/f1mWc3NzExISGpZtSEjIww8/3KdPn+DgYH9/fyGEzWYrLCxMTEz86KOPTCaTEOLEiROxsbFPP/10w4YAAAAAAAAAADRzzCgDAAAAeJdf//rXanzp0qWnnnpq8+bNV69elWW5Ab1NnDhRjY8cOeK8cXZ2dnp6uvpErVZbU8vt27fLsjxhwoSVK1cOGDDAYDBIkqTRaDp27Dhp0qT6Jjlo0KB169atXr06Ojq6W7duSm+SJOl0unbt2o0bN27z5s19+vRRGsfFxRUWFtZ3CAAAAAAAAABAi8CMMgAAAIB3ufPOO6Oion744Qdl02azxcXFxcXFabXaQYMGRUREhIWFde3aNSAgoC69hYSEdOnS5erVq0KILVu2jBo1SpKkmhrv3r1bjUePHu2858jIyGeffdZJb3U3Y8YM5w38/PzefPPNZ555prKyUgixZ8+eqVOn1qXn/Pz8TZs2OW9TUVEhhDCbzaWlpXXL1xtZLBYhhNVq5Sx5D6vVqsayLHPpvYeywh0X3atUWdawvLxco+HDe6KyosLTKXiA3S4L5UvCBbd4zYvdZqtXe1s926MptKyr0Px/dCp3dxaLpZnnCRdyvKW32+1ceu+hfP/konuVKj80y8rKXPIrOzR/6kcrm8NFLy8vV4Iq7zEbhkIZAAAAwOssXLhw48aN8fHxjjttNltiYmJiYqKy2bZt2+jo6JEjR7Zv3955b0899dTbb78thMjLy/v5559DQ0OrbWY2m3fu3KnE4eHhbdu2dd7trFmz3Pnuy2AwTJw4ccuWLaI+hTLFxcXbtm1z3qZnz55CCKvVqqzuBCdsNlvL+nMFXEWWZV4gXoiL7rXMZrOnU2gWLN55HmRZKL9tv+X+sGKz1+8exiW/3Ecj2eUWdhVaxI9Oq9XqWDwB72G321vElyhciPdx3kz5pBm8SnO46K79nsOnNwAAAACvo9VqX3rppVWrVg0cOLCmNvn5+Z9++unzzz+/bNmy4uJiJ73dfffd6iJK27dvr6nZ0aNH1b8HPPHEE84zbN++fZcuXZy3cTn1bBQWFvK7HgAAAAAAAAC4JVEoAwAAAHipHj16LF26dPPmza+99ppjsUsVSUlJ06ZNO3PmTE39+Pj4PPbYY0p86NAhdQ7MKj799FMl8PPzi4yMdJ7b8OHDaz8AVzMajWpcVFTk/gQAAAAAAAAAAE2NpZcAAAAAr2Y0GkeMGDFixAhZlktKSrKysk6fPr1///6rV6+qbex2++9///tNmzZ16NCh2k7Gjh27detWJT5w4MDYsWOrNMjMzFQ7nDhxYk1FOapu3bo18HhqJstyZmZmSkrK6dOnr169mp2dXWXKUMcJ8IuLi2s6WEc+Pj61pqrRaIQQkiTVetTezG63y7IsSZJyuuANlIuubvIC8R6yLCvfb7no3kO96AqNRuPxte2bA5sX/8iTJCHX3qqFkeq5mhSvguagvlfN45r5j05u6b0Qt/ReS7m74/XuVbil92bKOunN4Zu8a3OgUAYAAACAEEJIktSmTZs2bdqEh4dPmjQpOzv7f//3f0+cOKE2WLFixfvvv1/tc9u2bRsREZGcnCyE2LJly5gxY6q8W/7yyy/VODo6utZkgoKCGngYNTh27NiGDRtyc3Pr2N5sNtelWbdu3Xbs2OG8zcyZM4UQ/v7+Lj+oW0lpaanJZPL19Q0ICPB0LnCTsrKyiooKJdZoNLxAvIfZbC4uLpYkiYvuPSwWi+NUbW3atNHp+J2kKA8IKPB0Du6n0WqEEBqN1n7LVcrofHyEsNajPa+CZqBlXYXm/6OzuLjYbDbr9fpWrVp5Ohe4SUlJifr5E51OFxgY6Nl84DYmk6m0tJT3cV6lsrKypKRE3QwMDKRMykvY7fbr168LIYxGo8cvuq+vrxK4JBO+ggEAAABUo2PHjkuWLJk0aZK6Jz09PSsrq6b2TzzxhBIUFRWdO3fO8SGTybRv3z4l7tOnT3BwcK2ju/Z31hs3bly+fHndq2QAAAAAAAAAALeqllQxDQAAAMDNnn766e+++66wsFDZPHPmTOfOnatt2b9//4CAAOXDJVu3bn3jjTfUh44cOaLGaj2N2xw4cGDXrl1KrNFoxo8fHxUV1blz51atWul0OkmS1MlvsrKyZs2a5eb0AAAAAAAAAADuxIwyAAAAAGqk0WjGjh2rbv788881tZQkaerUqUqcmJhYXFysxLIsf/rpp0rs5+c3YMCAJku2GjabbcOGDUrcpk2bv/3tb88//3y/fv2CgoJ8fX2rLKisLLgLAAAAAAAAALiFUSgDAAAAwJmuXbuqcUVFhZOWI0eOVONvv/1WCdLT0/Pz85V44sSJWq22CXKsUVZWVllZmRK/8sorzhfPzsnJcUtSAAAAAAAAAACPoVAGAAAAgDOlpaVqbDQanbQ0GAwPPPCAEn/++ed2u10IsW3bNrVBdHR00+RYoytXrqhxeHi488bHjx9v4nQAAAAAAAAAAB5GoQwAAAAAZ44dO6bGYWFhzhtPnDhRCcrKyk6fPl1WVnbkyBFlT79+/YKDg5soyZpUVlaqsfPJbCorK/fu3dv0GQEAAAAAAAAAPIlCGQAAAMCLlJeXf/HFFxaLpY7ts7KyEhMT1c1aJ2UJCQnp3LmzEn/22Wfff/+9+tCUKVPqmawLtG3bVo0zMjKctIyJibFarU2fEQAAAAAAAADAkyiUAQAAALxLTEzM1KlTt23bVl5e7rxldnb2woUL1c2oqKigoKBa+3/qqaeUIDk5+a9//asS6/X6iIiIhqbccCEhIWq8Zs2aakthZFn+xz/+ER8f78a8AAAAgJYnMKDLtEc/bh98h6cTAQAAABqFQhkAAADA65jN5o8++uiJJ57405/+dOTIkatXr5pMJuUhWZbLy8tTU1Pff//9F198sbi4WNkfEBAwb968unR+zz33qIsc2Ww2JZg4caLzlY+aSEBAwL333qvEmZmZc+bMOXXqlHqw5eXlp06dmj9/fmxsrBBi8uTJ7s8QAAAAAAAAAOBOOk8nAAAAAMBjEhMTHVdWqklQUNB7771nMBjq0qePj89jjz22detWx53R0dENTLHR5s6de+rUqdLSUiHEtWvX/vjHP1bbbM6cOZGRkVXSBgAAAAAAAADcYphRBgAAAPAiBoMhJiZmxowZXbp0qUt7f3//F1544cMPP2zXrl3dRxk7dqzjZr9+/W677bb6Jeo6BoNh/fr1YWFhNTXQ6/VLlix56KGH3JkVAAAAAAAAAMAjmFEGAAAA8C5t27adMGHChAkTSkpKzp8/f+7cuUuXLl25ciUnJ8disej1+k6dOnXt2rVXr16RkZHdu3dvwJJJbdu2DQ8PT01NVTafeOIJVx9E/RiNxnfffff8+fMHDhxISUnJzMwUQrRv375v375RUVEDBw708fHxbIYAAMDb6IxtjKOGezqLJldZWSmE8PHx0Wg0Qgi/7reJVu30GqNN1KMIu0UIaxfwy75t6t4+xCp62psuHU/6LF4S/15/VXTyNw5pF6KRhOR3j0eTqp5PmT50qp+ns6grnaHFpAoAAND8USgDAAAAeKmAgIC77rrrrrvucnnPsixnZWUpsV6v79+/f12e1bFjx6+++qq+Y+n1+ro8S5KksLAwJ/PKNDgBAACABvDt1rnL4vmezqLJ5efnCyGMRqNjXXKA5/JpOg/3Fw/X6Z731vfaYo3Z/O84Mqjz8+H3CiGEuNdzGdWo6xDR9SlPJwEAAABPYOklAAAAAC527ty54uJiJZ40aVID5qQBAAAAAAAAAKApMKMMAABAs1BeXn7mzJmUlJRz587l5OTcuHHDx8cnODi4d+/eoaGh/fv3v/3225XpyoF6MZlMU6dOVeK5c+eOHDnSDYPu3LlTjUePHu2GERXnz59fuHChEq9bt65Tp05uGxoAAAAeJNvssiw3+OnSv//93z0aqdrGbiALYRdCEh5LwJH8738NfrbjElNS1RMNAAAAeAKFMgAAAB6WmZn50UcfJSYmVtlvtVqvXLly5cqV77//Xgjh5+c3Zcr5I3VZAAAgAElEQVSU8ePH6/V6T6SJJjF16lSTyaTE27Zta6JaKJvNpgR2u915S5coKio6fPiwEkdGRt52221uGFSlHmxj/lICAACAluXoq2vOrv2ywU+/d1qk9ed0xz29Ftyls1xqbFoN9cWdo7PKgpML8z2VgKMOfoG7v6/Hm1CT9b9vOkzip2vlm9RNvTY0yM99ZfQAAABATSiUAQAA8BiLxbJ+/fr9+/fXpXFlZeXHH38cGxv7/PPPjx07VpL4HN6twGazqYUdt4xPP/1UjadPn+65RAAAAAAAAAAAqIpCGQAAAM8oKSlZsGBBVlaWuqdjx45PPPFEWFhY27Zt/fz8hBBWq7WoqOjChQv79u1LSkoSQthstg0bNvTo0aNfv34eSx2oQXl5eXx8fHx8vLLZr1+/nj17ejYlAAAAAAAAAAAcUSgDAADgARUVFa+88kpBQYGyaTAY3njjjX79+lWZJ8bHx6dt27Zt27YdOnRoYWHhhx9+qK5oAzQf//M//6MsEOZIo9G89tprHskHAAAAAAAAAICaaDydAAAAgNeRZflPf/qTWiUTGhoaExPTv39/56spBQUFLViwYOnSpb6+vm5JE2g4SZKWL18eHBzs6UQAAAAAuIwp9/LJRQ+VXkrxdCIAAABAozCjDAAAgLsdOnQoOTlZidu0afOXv/xFr9fX8bkDBw7ctGlTUVFRk2UHNJxGo+nWrduwYcPGjh1rNBo9nQ4AAAAAl5Jl2WYVsuzpPAAAAIBGoVAGAADAraxW69q1a9XNhQsX1r1KRhEUFBQUFOTqvICG+81vfvOb3/zG01kAAAAAAAAAAFA7CmUAAADc6ujRoyaTSYl79OgRERHRFKPk5eUlJCScPXs2NTW1rKxMr9eHhYX17dt32LBhnTt3bkCHNpvt5MmThw4dOnv2bEFBgdFo7Nu37+jRoyMjI29eMer69esHDx5MTEy8fPmyxWK5/fbbhwwZEh0dXd8pRpriKJKTkxMSEs6cOZObm2u1Wvv27fvWW2+5YejGy83NPX78+I8//nj58uX8/HyNRtOuXbvQ0ND+/fsPHDiwffv2LhlFluWMjIyffvrpzJkzFy9evH79uk6n69q1a+/evQcNGjRgwICGrfwly3JKSsqhQ4d++umngoICf3//O+64Y8iQIcOHDzcYDHXvx2azHT9+/F//+tepU6cKCwsDAwPvuOOOYcOG3XPPPfVNzD3nEwAAAAAAAADQ3FAoAwAA4FZffvmlGj/xxBM3V5k0UlFR0TvvvKMu7aQwm81JSUlJSUkff/xxaGjoH/7wByd1ADk5ObNmzVLiZcuWRUREpKenL168uLi4WG1TUFBw+PDhw4cPh4SE/PnPfw4ICFD222y2Dz/8cPfu3Y4dpqampqambt68ee7cuaNHj/bUUaSlpS1btszxKIQQFovF5UO7XElJyf/8z/8kJSVV2Z+ZmZmZmXnw4EEhRJ8+fZ5//vnevXs3eJSysrJvvvlm69atVU6R2WxOS0tLS0vbvXu3JEmzZ8+Ojo528nV785nPzs5evHhxdna2Y5+JiYmJiYnr1q2bP3/+iBEj6pLhuXPnli1bVlJSou7Jz8/Pz89PSEjw8/N7/fXX77rrrrr0457zCQAAAAAAAABonjSeTgAAAMCLmM3m1NRUddPl08kkJydPnz69SpFHFenp6c8//3xCQkJNDWRZtv2H0uerr75apXhCdfny5Xnz5pnNZiGE1Wr93e9+V6VKxtHq1au/+eYbjxxFUlLSa6+9VtNRuHZo1yoqKnrhhRduruqo4uzZs/Pnz6+oqGjwQAsXLoyJiXF+imRZXrt27dKlS+12u5M2jmf+woULM2fOdKySqdL4vffei4+PrzW9/fv3L1iwwLFKxlFlZeWSJUuUGhfn3HY+AQAAAAAAAADNEzPKAAAAuE9WVpYaBwUFqROxuMSlS5cWLVqkbkZGRk6bNi0kJMTHx8dqtV69ejU2Nvbo0aPKo2+//fby5csjIyOd9/njjz9u27ZNCDF48OAnn3yyW7duPj4+FoslPT39/fffVw4nPz//r3/960svvbRy5cq0tDQ/P78ZM2YMHTrUaDRKklRcXLxnz57Y2Filw9WrV0dFRbVu3dqdR3H8+PEdO3YIIXr16jV9+vRevXr5+/vLspybm+tY79IUQzfe0qVLy8vLlTgqKmrixIldunQxGAySJNnt9tLSUmUSlL1797pkuJCQkIcffrhPnz7BwcH+/v5CCJvNVlhYmJiY+NFHHymrhp04cSI2Nvbpp5+utbeUlJS4uDhZlsPDw6dNmxYaGqqc+fz8/Li4ODXn9evXR0VFBQYGOuln1apV6uaoUaMmT57csWNHjUZjMpkuXLiwcePGy5cvr1y5ctKkSc5TcvP5BAAAAAAAAAA0NxTKAAAAuM+VK1fUuGfPni7s2WazLV26VN189tlnH3vsMXXTx8enR48eixYt2rdv35o1a5Sdb7311ieffOLr6+uk27i4OCHErFmzxo4dq+709fUNDw9ftWrV7Nmzc3NzhRDx8fGBgYEJCQmdO3d+9913HQuAjEbjlClTOnbsuHLlSmXPzp07p06d6s6j2L59uxBiwoQJzz77rLpmkCRJHTt2VOsqmmjoRrp69eqFCxeU+Ne//vUTTzzh+KhWqzUajUajsX///jNmzPjqq68aM9agQYNef/31rl27Vtmv0+natWs3bty4Bx98cPHixWfPnhVCxMXFjR8/PigoyHmfW7ZsEUJMmzZt0qRJjme+ffv2c+bM6d69+6ZNm5Sd27Zte+6556rtxGazvfXWW+rmG2+8cffdd6ub/v7+ERERH3zwwapVq7777julrqsm7jyfAAAAAAAAAIDmiUIZAAAA98nLy1Pj7t27u7Dn7777rqCgQIkfeughxyIPR9HR0Tk5OUr5i8lk2rZtW001K6oxY8Y4VsmofH19Z8+evWTJEmVTKYlYsWJFtdPkjBgx4pNPPsnJyRFCfP311zUN2nRHERkZ6Vgl486hG+P8+fNq7HyuFH9//ylTpjRmrBkzZjhv4Ofn9+abbz7zzDOVlZVCiD179tTl2EeOHDl58uRqHxo/fvwXX3yhvCj27t07Y8aMai/Q/v37y8rK1CQdq2RUGo1m3rx5ly5dSk9Pd5JMU5xPk8mUlpbmvI3VahVC2O12JUC1ZFlW/ucseY8qi7hx6b2Hsjaf4KJ7E/WiV7sJb2Cz2ZzciruEk7VB60K5FXG+x83snk7Agcsy4Wbv1qa8anjj41Ucv1XyAvcq6o9dLrr3qHIPb7VaNRqNp5KBOzm+3j1+0dXvOS65V6dQBgAAwH2KiorUODg42IU9f/bZZ2r87LPPOmk5ZcqUHTt2KPeU27ZtmzJlivMb3Geeeaamh/r37++4OXHixJqmGJEkady4cTExMUKIoqKikpKSautpmu4oZs2a5fxX8003dGOotTt6vd7Hx6eJRqk7g8EwceJEpSiqjoUyNc0TI4SQJGnixIkbNmwQQphMpuvXr1f7olAvjb+//8MPP+yktzlz5syfP99JMk1xPrOysmqtMVKmjzKZTDdu3HDJoLcws9lsNps9nQU8wG638wLxNrIsc9G9VklJiadTgLuVlpY29RCNvIW4uX7LZrN59P5btlmbS0mZzdaoIiRHZrP5Rinf/G9xlZWVyocr4G1sNht3d96Gi+7NiouLPZ0C3K05XPTy8nIlcEmhDKVeAAAA7mOxWNRYp3NZyXJ+fr46V83IkSMNBoOTxr6+vo888ogSm83mS5cuOWk8ePBgJ735+vp26NBB3Rw1apSTrsLCwtS42nfRTXcU7du379Kli5MGTTd0I6nlRCaTSZ1VxbMGDhyoBIWFhSaTqdbG1VZEqfr06aPG169fv7lBQUGBWt0yYcIErVbrpLdevXq1adPGSYNmeD4BAAAAAAAAAG5GoQwAAID7OE5i4cK5STMyMtT4vvvuq7X90KFD1fjChQtOWg4aNMh5V507d1bjTp06OWlpNBrVuNpCmaY7iuHDhzvvqumGbqTevXur8V/+8he1ZN6DHK+j4wxJ1RoyZEjde6v2q8KxDmnw4MHOe5Mk6Re/+IWTBs3wfAIAAAAAAAAA3IyllwAAANzHcbqLwsJCV3V79epVNXasXKlJx44d1fjy5ctOWjpOGFMtdfIVPz8/53Pk+Pn5qbHjzDqqpjuKbt26Oe+q6YZupB49enTp0kVJ79SpU0888cR99903ZsyYnj17Op/2psFkWc7MzExJSTl9+vTVq1ezs7OrTJqtrkorhCguLnb+FeJ4oqrl6+urxtXOlp+VlaXG7du3d96b+M8iRzVx//kEAAAAAAAAADQ3FMoAAAC4T7t27dTYcRaTRrp27ZoaO196RtGqVSs1dqwRuZljdUu1NJp/z1Co1+trHde5pjuKoKAgTw3dSJIkLV26dO7cuRUVFcqeI0eOHDlyRAgRHBx89913DxkypE+fPo75NMaxY8c2bNiQm5tbx/bVlrY4qvXrp1aOl6YutSxt27Z18mhTnM/OnTvHxMQ4b/PBBx8IIfR6fWBgYN179jYVFRWVlZW+vr4ULXkP5aIrsUajqcu3X9waLBZLWVmZJEmO84rh1ma1WktLS9XNgIAA58sp4laizBrYunVrF648Wy3HCuwG0Gq1tpv2CJfNAdoAklbXXF4mWq3LpqX39fVtY+CW+JZVVlZmsVj8/Pz8/f09nQvcpLy8XP3NgFardb74Mm4lZrO5vLyci+5VlIuubrZp00b9tTBubXa7vbi4WDSPi65O2C9JUuN7o1AGAADAfbp06aLGFy9edFW3jhO01OUX0I53tFXmC2mwxt8lN91R1NpbcziBNWnfvv3f/va3mJiYffv2Oe4vKCiIj4+Pj48XQgwePHj69Ondu3dvzEAbN27ctWtXo3JtAo61OHX5Gqu1NMfl51Ov1w8YMMB5G+WLSqPRNPXfh1o05f2tJEmcJe9R5UXNpfce6uRkXHTvIcuy46ZWq+Xqexs3XPRGvh+5+VftLvnle2NoPJ2AA5dlws3erU151fDGx6s4fqvkBe5V1AXluejew2b7P0XFOp3O4zUTcA/Ht/Aev+jq9xwKZQAAAFoYx2V9CgoKSkpKXPLBC7WSWtz0pqVajqvnNH7OD1fx4FE08xNoMBhefvnlGTNm/PjjjwkJCYmJiVWqc5KSkpKSkiZOnPjMM8807E3CgQMH1CoZjUYzfvz4qKiozp07t2rVSqfTSZKkdpuVlTVr1qxGHlHdOX4y2G631/rp87rULbnhfAIAAAAAAAAAmi0KZQAAANxHr9f36tXrwoULyubp06eHDh3a+G47dOigxiUlJbUuHFNWVqbGjrU7nuXBo2gRJ9BgMAwbNmzYsGGyLN+4cSM9Pf3w4cMHDx5UK3u2b9/evXv3kSNH1rdnm822YcMGJW7Tps3q1audLFZVl0IiF3K8NOXl5bUu0lFQUFDHnpvufAIAAAAAAAAAmjPmRAIAAHCrxx57TI0/++yzKhPRN0zXrl3VOCsrq9b2OTk5ahwSEtL4BFzCg0fRsk6gJElBQUGDBg169dVX4+LiZsyYoT60ceNGx9lu6igrK0st/XnllVecVMmI/3vsbuC4Wllubm6t7dPT0+s7hMvPJwAAAAAAAACgOaNQBgAAwK2GDh2qLtaTnp5+5syZxvfZvXt3Nf7hhx9qbZ+YmKjGPXv2bHwCLuHBo2i5J1Cn002YMCE6OlrZLC8vv379en07uXLlihqHh4c7b3z8+PH69t8YPXr0UOMTJ07U2v77779vzHAuOZ8AAAAAAAAAgOaMQhkAAAC38vHxmTlzprr5zjvvVFZW1quHoqKijIwMxz3t2rVr27atEu/bt89kMjl5usVi+eqrr5TY19c3NDS0XqM3HQ8eRUs/gcOGDVPjkpKS+j7d8StQq9U6b7l379769t8Ybdu2VWe42bFjh/OFny5cuFBUVNT4QRt5PgEAAAAAAAAAzRmFMgAAAO42atQodd6OwsLCRYsWOa/McJScnPzCCy/c/Mf7KVOmKIEsy59++qmTHnbs2KEWRjz66KMaTTO6IfTgUbToE+g460nr1q3r+3S1SEgIUaUGq4qYmBir1Vrf/htJvTTl5eV79uypqZksy+vWrXPJiI08nwAAAAAAAACA5szzv9YHAADwNpIkLVmyxGg0KptpaWnPPfdcWlqa82eVlJSsWrWqpqqaBx98UJ1444svvqhp2o9Dhw598sknSuzn5/f444838BiahgePonmewM8//zw5Odn5NCoVFRWbN29WYr1e71j1UkchISFqvGbNmmpLYWRZ/sc//hEfH1/fzhsvOjraYDAo8YYNG06ePHlzG6VK5sKFC867cs/5BAAAAG5V+g497vrLt61vj/B0IgAAAECjUCgDAADgAQaDYc2aNR06dFA2S0pKXnvttTlz5hw+fDg7O9tisSj7bTZbUVHRyZMn33333SeffHL//v01dajVav/4xz+qm2vXrn3rrbcuX76sFD3YbLYrV66sXLnyvffeU9v8/ve/1+v1TXJ4DeXBo2ieJ/DixYuLFi2aMmXKxo0bT506df36dcevjcLCwgMHDrz44ouFhYXKzlmzZkmSVN9RAgIC7r33XiXOzMycM2fOqVOn1Hqs8vLyU6dOzZ8/PzY2VggxefJkFxxYfeh0utdff13dfPPNN9evX5+dnW2324UQZrP57Nmz8+fPV2qbHn30USddued8AgAAAAAAAACaM52nEwAAAPBSRqNx7dq1a9eu/f7775U9mZmZ7777rvNnaTSaZ599tk+fPjc/1KtXr6VLly5dulQpIDh69OjRo0dr6ue3v/3toEGDGpF+U/HgUTTbE2g2m3ft2rVr1y7nzR566KEHHnigYUPMnTv31KlTpaWlQohr16451gw5mjNnTmRk5NatWxs2SoNFRka+9NJL69evVzbj4+Orndtm7ty5PXr0+PLLL5335obzCQAAAAAAAABotphRBgAAwGN8fX1/85vfrFq1auDAgbU21ul0Tz311Gefffboo49qNNXfxQ0cOPBvf/tbeHi4k366d+++cePGX/ziFw3L2Q08eBQt9AQGBAQsWLBg9uzZDZ7+xGAwrF+/PiwsrKYGer1+yZIlDz30UENzbKwxY8asWLGiVatW1T6q0+kWLVo0evRol4zV+PMJAAAAAAAAAGi2mFEGAADAw3r06LF06dKSkpKzZ88mJyefO3cuJyfnxo0bPj4+wcHBvXv3Dg0NjYiICA0N1Wq1tfYWFBT0zjvv5ObmHjly5MyZM2fPni0tLTUYDHfccUffvn2HDRvWtWtXNxxUI3nwKJrVCVy4cGFeXl5GRsalS5d+/vnna9eu5eXlVVRU2O12o9HYvXv3vn37Dhw4MCwsrKbaqbozGo3vvvvu+fPnDxw4kJKSkpmZKYRo37593759o6KiBg4c6OPj44pjarh+/fp98sknx44d+9e//nXy5MkbN24EBgb27t37vvvuGzp0aF2WwXLn+QQAAAAAAAAANE+SLMuezgEAAAAAblkzZ848fvz47NmzZ8yY4elcmq/S0lKTyeTn5xcQEODpXOAmZWVlFRUVSqzRaG677TbP5gO3MZvNxcXFkiQFBwd7Ohe4icViKSoqUjcDAwN1Oj685y3y8/OFEEajsamrrmWbvTG/6Jb+/e//7tF4bH5BWQi7EJJoFhMcyv/+V1dtAlqXl5cr8RtvLFq+fJnDg1LVE41bSHFxsdls9vf3r2kqUNx6SkpKKisrlVin0wUGBno2H7iNyWQqLS3VarVBQUGezgVuUllZWVJSom7edtttfMzMS9jt9uvXr4vmcdHLysruv/9+IcTnn38eGhrayN54UwoAAAAAAAAAaMEkreeqWpqAJETts4m6U8NPriQEf0UDAABAs0OhDAAAAOAZJpNp6tSpSjx37tyRI0d6Nh8AAAAAAAAAAG55FMoAAAAANTp69Ohf/vIXJX7wwQfnzJnTgE7+/ve/f/nll0r829/+dvjw4epDNptNCex2e+MyBQAAgPc688H2vMSzns6iGsqSHD4+Ph6fp91wm6Fzu5Z6yx0YFqCrzNdFhGm6602GwEptpWv7v5gXtP2kn6t6s9j+u1DTqcKsD1MTGtNbjwD/AJ+KBjyxd/GNoMIrjRm6rjQ6adBz7hgIAAAArkOhDAAAAFCjgQMH2u12WZaFEPv27XvhhRd8fX3r1YPNZvvqq6/UgpghQ4a4PksAAAB4t5yE5EtbD3k6i2atbXinVu1KPZ1FAwXoe4krP0oddJpgjUXfq0LkuLb/a8Whe864bK0nm/zfQplrFUXH8i43pjed1L61T0OOt0tJaeCVo40Zuq60vhTKAAAAtDisDwoAAADUyNfXd/To0Uosy/KPP/5Y3x5SUlKsVqsS33///Xq93pX51UdxcfFj//HPf/7TU2kAAAAAAAAAAOBBFMoAAAAAzowbN06Nt27dWt+n79ixQ40ffvhh1+TUULb/kB0+5QkAAAAAAAAAgPdg6SUAAADAmR49egQFBRUWFgohUlNTCwsLg4KC6vjckpKSEydOKHHr1q179+7t+Kher//qq69cmy0AAAAAAAAAAHCCGWUAAAAAZyRJmjx5srp58ODBuj/XcYWjiRMnSpLkyswAAAAAwC1MuZdPLnqo9FKKpxMBAAAAXIBCGQAAAKAWI0aMUONt27bVcd0iWZbj4uLUzZEjR7o+MwAAAABwA1mWbVbBEq4AAAC4JbD0EgAAAFALo9EYERGRnJwshCgqKvr5559DQ0NrfdbVq1dzc3OVOCws7LbbbmtkGjab7fTp0ydPnjxz5kxGRobVag0ODo6IiLjzzjuHDBni6+vbyP7rQpbllJSUQ4cO/fTTTwUFBf7+/nfccceQIUOGDx9uMBjq3klGRsZPP/105syZixcvXr9+XafTde3atXfv3oMGDRowYEDDjsVms508efLQoUNnz54tKCgwGo19+/YdPXp0ZGTkzXP5XL9+/eDBg4mJiZcvX7ZYLLfffvuQIUOio6ONRmMDhgYAAAAAAAAAtBQUygAAAAC1mzRpklIoI4SIj4+fM2dOrU/Zt2+fGj/++OM3NzCZTFOnTlXiuXPnOplyRpblPXv2xMTEVFZWOu7PysrKysrau3evVqt98cUXf/nLX1a7utPs2bOvXbvmOBHOO++8o9FUM7tkXFycTvfv9wg5OTmzZs1S4mXLlkVERGRnZy9evDg7O1ttbzabExMTExMT161bN3/+fMepd6pVVlb2zTffbN26tbi42HG/2WxOS0tLS0vbvXu3JEmzZ8+Ojo52slLVzbmlp6cvXrzYsduCgoLDhw8fPnw4JCTkz3/+c0BAgLLfZrN9+OGHu3fvduwwNTU1NTV18+bNc+fOHT16tPOjAAAAAAAAAAC0XCy9BAAAANQuMjJSrSDZt2+fxWJx3t5ms+3atUuJJUkaOHBgTc0Udru9pq7Ky8sXLFiwfv36KlUyVfpZv3798uXLbTZbTaM4DiHLsq06js9ybCOEuHDhwsyZMx2rZKo0fu+99+Lj42vKULFw4cKYmJgqVTI3d7V27dqlS5c6OSdVcktOTn711Vdr6vby5cvz5s0zm81CCKvV+rvf/a5KlYyj1atXf/PNN86PAgAAAAAAAADQcjGjDAAAAFA7rVY7fvz4L774Qgghy/LJkyfvvvtuJ+1TUlKsVqsS//KXv2zwukiVlZXz5s3LyclRNtu1a/fMM88MGDCgTZs2kiRVVlampaVt2rTp8uXLQoikpKSVK1cuXLiwYWM5kZKSEhcXJ8tyeHj4tGnTQkND/f39ZVnOz8+Pi4vbu3ev0mz9+vVRUVGBgYHOewsJCXn44Yf79OkTHBzs7+8vhLDZbIWFhYmJiR999JHJZBJCnDhxIjY29umnn641tx9//HHbtm1CiMGDBz/55JPdunXz8fGxWCzp6envv/9+VlaWECI/P/+vf/3rSy+9tHLlyrS0ND8/vxkzZgwdOtRoNEqSVFxcvGfPntjYWKXD1atXR0VFtW7duhEnDAAAAAAAAADQTFEoAwAAANTJQw89pBTKCCG2bt3qvFBmx44dajxmzJgGD7pq1Sq1Smbs2LEvvPCCVqtVH9Xr9QMGDPjggw/WrVunrPR05MiRMWPGREREOHayYcMGIcSNGzemTZum7FmwYMHw4cPrnsaWLVuEENOmTZs0aZK6IpIkSe3bt58zZ0737t03bdqk7Ny2bdtzzz1XUz+DBg16/fXXu3btWmW/Tqdr167duHHjHnzwwcWLF589e1YIERcXN378+KCgIOe5xcXFCSFmzZo1duxYdaevr294ePiqVatmz56dm5srhIiPjw8MDExISOjcufO7776rrsQkhDAajVOmTOnYsePKlSuVPTt37lRXxQIAAAAAAAAA3EpYegkAAACoky5dunTs2FGJU1NTb9y4UVPLkpKSEydOKHFQUFBISEjDRrxw4cLhw4eV+O677545c6ZjlYxKo9HMmTOnR48eyub7778vy3K1zaqN62jkyJGTJ09Wq2QcjR8/vl27dkq8d+/eakdXzJgx4+YqGUd+fn5vvvmmn5+fsrlnz5665DZmzBjHKhmVr6/v7Nmz1U2l3GfFihWOVTKqESNGdOjQQYm//vrruowLAAAAAAAAAGhxmFEGAAAAqKtf/epXq1atUuKDBw8++uij1Tb75z//6fiUaotL6uLTTz9V43nz5jnpR5KkuXPnzp8/XwiRl5d35cqVbt26NWzQmjiZJ0aSpIkTJyrz1phMpuvXrwcHBzd4IIPBMHHiRKWoZc+ePXWZ2eWZZ56p6aH+/fs7bk6cOLGmKWokSRo3blxMTIwQoqioqKSkpNp6mioyMzNfeeUV5230er0QoqKiorCwsNYOvZbdbhdCmM1mzpL3UC66GnPpvYdSTynLMhfde1Qpoi0uLm7w3RFqYjabPTUYOckAACAASURBVJ1Cc+f4c6fFsVqtWiGsVquP8LVaraKBy7rWyGazCVFNRX5zYLVahU9Dnmiz2lydS/X4iaZSXmUmk4nvSN7D8Vur1WrlteA9lLs73sd5lSq39Ddu3OCW3tsUFRV5OgVRXl6uBC65t6dQBgAAAKirYcOGqYUyW7dufeSRR25+TyjLsrIYkGLEiBENG6uioiIpKUmJ77///lqLNnr16uXv719RUSGE+OGHH1xbKDNw4EDnCfTp00eNG1koowynFMoUFhaaTCal0KQmgwcPNhgMNT3q6+vboUMHdfmqUaNGOekqLCxMjW/cuFGXQhmLxZKZmem8Tc+ePYUQsizbbG76ZX3LxVnyZlx6L8RF91otul6h2XIypR8ULfoU/Tv5/xQaNlX/zVKDc5OF+w6Kn2iOuKX3Zlx6b8Pr3ZtxS++FmsPr3bU5sPQSAAAAUFcGgyEqKkqJi4qKLl26dHObK1eu5ObmKnFkZGRdii2q5dj58OHDa20vSVJERIQSp6amNmzQmgwZMsR5A6PRqMZOFqWqI8feav2wwqBBg5w36Ny5sxp36tSpjuM2/igAAAAAAAAAAM0QM8oAAAAA9fDoo4/+8MMPSvz111/PmTOnSoN9+/ap8aRJkxo80JUrV9S4e/fudXlKt27dEhMThRDnzp1r8LjV6tixo/MGvr7/nf+91nm2ZVnOzMxMSUk5ffr01atXs7OzKysrHRs4fiqluLi4Q4cOTnpz/qgQQp1vxs/PT6dz9g7Iz89PjS0Wi/NuAQAAAAAAAAAtEYUyAAAAQD2Eh4erKxzt27fvxRdf9PHxUR+12Wy7du1SYp1Op07x0gCOC/q88sorGo1G/GficVmWZYd51+12uxKok0+WlJTIsuzCpYIdK0ga6dixYxs2bFAn3alVrWU3teamnDohhPMlnBqmTZs2tZZDnT17Vgih0+maIoFbhsVisdlsWq3W8QWFW5vVarVarUosSZILv8+gmbPb7cr3dr4reg/1oit8fX3Vn85wFa1W6+kUmjsX3hu7n/KScfzfxf0345PT4OPVSG76PiNJEj/RFGaz2W6363Q6559PwK1EeR+nxBqNxvEjNLi12Ww2i8XC+zivolx0ddPPz69F31yh7mRZVj7i2BwuumvX/OJ+BQAAAKgHjUYzYcKELVu2CCFkWT558uTdd9+tPpqcnKz+kuiRRx5pzF8slFochclkanA/zcrGjRvVQiL3a4o/KrRt2/b111933mbmzJlCCF9f39atW7s8gVtGaWmpzWbT6XScJe9RVlbmWCjDpfceZrPZbDZz0b2KxWJxLJQxGAz8DdXlOKW1atHlWcrbCo1WK5qmKErTjAutGny8Gq37rjg/0RTFxcVms9nHx6dVq1aezgVuUlJS4lgow2vBe5hMJovFwkX3KpWVlY6FMq1atWrRN1eoO7vdrhTKNIeLrlbquCQT3kEBAAAA9fPggw8qhTJCiK1btzoWymzbtk2NR48e3ZhRbr2/dhw4cECtktFoNOPHj4+KiurcuXOrVq10Op0kSepbnaysrFmzZnkuUwAAAAAAAADALetW++U7AAAA0NTatWsXGhqanp4uhEhNTb1x40ZgYKAQoqSk5NSpU0qbTp06denSpTGjdOjQQY23bNnS0j+TZ7PZNmzYoMRt2rRZvXp1UFCQk8buygsAAAAAAAAA4F2YEwkAAACot8mTJ6vxwYMHlSAhIUHd+fjjjzdyiNtvv12N8/LyGtmbx2VlZZWVlSnxK6+84qRKRgiRk5PjlqQAAAAAAAAAAF6HQhkAAACg3oYMGaLGW7dulWVZluW4uDh157Bhwxo5RI8ePdT4+PHjjeytClmWXdthra5cuaLG4eHhzhu7/HgBAAAAAAAAAFBQKAMAAADUm5+f36hRo5S4qKjo0qVLV65cUed9iYqKMhgMjRzCaDT26dNHiT///HOr1drIDjWa/978N763+qqsrFRjrVbrvOXevXubPiMAAAAAAAAAgDeiUAYAAABoiPHjx6vx119/vW/fPnXz0UcfdckQ06ZNU4KKiopNmzY1sje9Xq/G7l/LqW3btmqckZHhpGVMTIz763gAAAAAAAAAAF6CQhkAAACgIUJDQ41GoxLv27dv165dSuzv71/r0kJ11K9fv/vuu0+J4+PjY2JibDab86fk5+dv3ry5rKzs5od0Ol2rVq2U+NixYy7JsO5CQkLUeM2aNdWWwsiy/I9//CM+Pt6NeQEAAAAAAAAAvAuFMgAAAEBDSJI0adIkJZZlWS1heeyxxxwXOWqkefPmderUSYm/+OKLp59+evfu3dnZ2WazWdlpt9vLysouX768Z8+eV199dcaMGXFxcXa7vdreRo4cqQSpqak7d+4sKSmRZdlVqToXEBBw7733KnFmZuacOXNOnTplMpmUPeXl5adOnZo/f35sbKwQYvLkye7JCgAAAEBd6Dv0uOsv37a+PcLTiQAAAAAuoPN0AgAAAEBL9Ytf/CImJqbKzlGjRrlwCD8/vw8++GD58uXJyclCiNLS0g0bNjS4twkTJuzcuVOJN23apCznpNFoJElSdsbFxel0TfUeYe7cuadOnSotLRVCXLt27Y9//GO1zebMmRMZGbl169YmSgMAAAAAAAAA4M2YUQYAAABooMDAwH79+jnuCQ0NbdeunWtH0ev1f/rTn9544w11paeaSJIUHR29evXqgICAahu0a9fud7/7nVoWo7Db7bb/cFnS1TEYDOvXrw8LC6upgV6vX7JkyUMPPdSkaQAAAAAAAAAAvBkzygAAAAANN3ny5NOnTztuNsUokiTdfffdH3/8cUZGxrFjx86fP5+Wlnbjxg0hRPv27bt169azZ88BAwaEhYX5+Pg47+ree+/97LPP/vWvfx07duzSpUvZ2dlWq7Upcq6W0Wh89913z58/f+DAgZSUlMzMTCFE+/bt+/btGxUVNXDgwFrzBwAAAAAAAACgMSRZlj2dAwAAAADcsmbOnHn8+PHZs2fPmDHD07k0X6WlpSaTyc/Pr6b5kHDrKSsrq6ioUGKNRnPbbbd5Nh+4jdlsLi4uliQpODjY07nATSwWS1FRkboZGBjYdEs9eq1r350svZTt6SyqoSy76e/vr9VqPZuJj94nMNCzKTScPkirkyo1nYM1t+ktvn4Wjd21/eeV6H/M9HNVb1Pu6Vlp+veP+Om/ffn5ha82prdAX20rXUNmvmxbUdKqoqQxQ9eVpJG63+uOgZq94uJis9ns7+/fqlUrT+cCNykpKamsrFRinU4X2HK/z6KeTCZTaWmpVqsNCgrydC5wk8rKypKS//5gve222zQaFq7xCna7/fr166J5XPSysrL7779fCPH555+HhoY2sjfelAIAAAAAAABAC9Zp5EBPp1C9/Px8IYTRaGTiQFfxEcLlpzIkSIS47g+dWs1/V3rtagi8t0NPl3VdL1RfAwAAoGaUegEAAAAAAAAAAAAAAMArMKMMAAAtWG5u7smTJ8+cOXPx4sXc3Fy73W40Grt169ajR4++ffvecccdRqPR0zkCzdH58+cXLlyoxOvWrevUqZNn82kYk8k0depUJZ47d+7IkSM9m08dtdC0AQAA0NTsZuu17066vNuAIJ1Gkh33GLr4Sjq5pvaOrMY2xcInu0KqvWkLZC73qah0/aHZHU6tpaJYVPz87/15pXKZSYk1nUMlIwvwAQAAwGMolAEAoEVKT09fs2bNhQsXquzPy8vLy8s7ceLE9u3bhRDdu3d/5JFH7rvvPoPB4Ik0m4TFYvnVr37lqt5iY2NvpZODurPZ/r3OvSzX6VfkTkydOtVkMlX7kFarDQgIuP3220NDQ4cMGdKrVy+tVtvI4RypR2G3213YbVNroWkDAACgSZmLSveN/b3Lu733V72t17Id94T9vr/GlFWX55b94qHUSsPH50tcnlVzYCjpfijZ7PJuzbb/3uQX5WfJuduU2LI325ryoxL7Pf173ZAHXT40AAAAUEcUygAA0MLIsvzZZ59t2bKlLo0zMjLWrFkTGxv70UcfNXVi7qT+lR1oDmw2W01fkzabraCgoKCgICkp6fPPP/f39585c+YDDzwgSbfmZ1IBAAAAAAAAAGjmKJQBAKCF2bVrl2OVTERExKRJk3r27Nm6dWuNRmO324uLizMyMg4cOPDtt996ME8AN6uoqHj//fe//fbbpUuX6nTcigMAAAAAAAAA4G78dh4AgJYkJydn06ZN6uaSJUvuuusuxwZarTYoKCgoKCgyMnLmzJk7d+6MjY11e5pNy8fH56uvvnLS4MCBA//v//0/JX755Zejo6PdkhcghBA7duxwXFxJluXKysqMjIzY2NiTJ08qO5OTk1evXv2b3/zGQzkCAAAAAAAAAOC9KJQBAKAliYuLU+OXX365SpVMFXq9/vHHHx83btznn3/e9Kk1IxqNptoYcIMqaypJkqTX68PCwpYuXbpr166NGzcq+7///vvx48f37t27MWPp9XrnRWPNUwtNGwAAAPBmptzLZz94sfcLK1v36O/pXAAAAIDG4k9HAAC0GLIs79+/X4k1Gs2oUaPq8iyDwTB9+vQmTAtA3YwfP37w4MHq5vbt2z2YDAAAAADUgyzLNquQZU/nAQAAALgAhTIAALQYxcXFdrtdifv06eO4vAuAFuHpp59W44SEBJnfMgMAAAAAAAAA4F4svQQAQItRUVGhxm3atHFt57IsZ2Rk/PTTT2fOnLl48eL169d1Ol3Xrl179+49aNCgAQMG+Pr61qvDvLy8hISEs2fPpqamlpWVKavP9O3bd9iwYZ07d3Zt8o3UFKnabLaTJ08eOnTo7NmzBQUFRqOxb9++o0ePjoyMrLI0jxDi+vXrBw8eTExMvHz5ssViuf3224cMGRIdHW00Gus14unTp0+ePHnmzJmMjAyr1RocHBwREXHnnXcOGTKkvpevVi7/gnHsOSUl5dChQz/99FNBQYG/v/8dd9wxZMiQ4cOHGwyGOnZis9mOHz/+r3/969SpU4WFhYGBgXfcccewYcPuuecel5+KeunevbvjZlFRUWBgoJP2NpstOTk5ISHhzJkzubm5Vqu1b9++b731ViPTcMlJFkLY7fZz5879+OOPqampFy9eNJlMAQEBvXr1uvPOO++55562bds2Ms8qLBZLYmJiQkLCuXPnlMsaGRl5zz33DBkypF6Fg25+sQAAAAAAAAAAmhUKZQAAaDF0uv/+4L506ZKrui0rK/vmm2+2bt1aXFzsuN9sNqelpaWlpe3evVuSpNmzZ0dHR99c5HGzoqKid955Jzk5uUpvSUlJSUlJH3/8cWho6B/+8If27du76hAazCWp5uTkzJo1S4mXLVsWERGRnp6+ePFix/NZUFBw+PDhw4cPh4SE/PnPfw4ICFD222y2Dz/8cPfu3Y4dpqampqambt68ee7cuaNHj671KGRZ3rNnT0xMTGVlpeP+rKysrKysvXv3arXaF1988Ze//GVdLl+tXPgFc/Opy87OXrx4cXZ2tmO3iYmJiYmJ69atmz9//ogRI2rN8Ny5c8uWLSspKVH35Ofn5+fnJyQk+Pn5vf7663fddVf9jtl1tFqtwWAoLy9XNsvKytRCmZvPRlpa2rJly6qcZ4vFosYmk2nq1KlKPHfu3JEjR948YhOdZGUluA8//NCxgE8IUVBQUFBQcPTo0Q0bNgwePPjFF1/s2LFjlec2LO3k5OQ//elPjsPl5+d/++233377batWrRYtWtS/f/+6pO3OFwsAAAAAAAAAoBli6SUAAFoMx/lFrl27lpeX55JuFy5cGBMTU+WP8VXIsrx27dqlS5eqaz/VJDk5efr06VVKT6pIT09//vnnExISGpKu67gqVVmWbf+hdPvqq6/WdD4vX748b948s9kshLBarb/73e+qVMk4Wr169TfffOP8KMrLyxcsWLB+/foqf/h3ZLPZ1q9fv3z5ciXDRnLhF0yVU3fhwoWZM2c6FnBUafzee+/Fx8c7T2///v0LFixwrJJxVFlZuWTJkoMHDzrvxCOqnI2kpKTXXnvN+XkWQqhPqelUN8VJLisrmz9//urVq6tUyVSRlJT04osvuiTtxMTERYsW1TRcWVnZH/7wh6+//tp52u5/sQAAAAAAAAAAmiFmlAEAoMXw8fEJDw9PTU1VNpcvX75ixYpWrVq5pPOQkJCHH364T58+wcHB/v7+QgibzVZYWJiYmPjRRx+ZTCYhxIkTJ2JjY59++umaOrl06dKiRYvUzcjIyGnTpoWEhPj4+Fit1qtXr8bGxh49elR59O23316+fHlkZKRL8q+vJkr1xx9/3LZtmxBi8ODBTz75ZLdu3Xx8fCwWS3p6+vvvv5+VlSWEyM/P/+tf//rSSy+tXLkyLS3Nz89vxowZQ4cONRqNkiQVFxfv2bMnNjZW6XD16tVRUVGtW7eudrjKysp58+bl5OQom+3atXvmmWcGDBjQpk0bSZIqKyvT0tI2bdp0+fJlIURSUtLKlSsXLlzY8LPmwCVfMI5SUlLi4uJkWQ4PD582bVpoaKi/v78sy/n5+XFxcXv37lWarV+/PioqqqblilJSUlatWqVujho1avLkyR07dtRoNCaT6cKFCxs3brx8+fLKlSsnTZrU2FPQIDabTZ1ORghR0+v3+PHjO3bsEEL06tVr+vTpvXr1Us5Gbm5uYyrMXHKSKyoq5s6dm5+fr2zq9fpf/epX9913X3BwsE6nk2W5pKQkIyPjm2++OXDgQINTdXT8+PHt27cLIbp27Tpz5sywsDC9Xm+327Ozs7dt27Z//36l2f/+7/926tRp4MCB1XbiwRcLAAAAAAAAAKBZYUYZAABakl//+tdqfOnSpaeeemrz5s1Xr16VZbnBfQ4aNGjdunWrV6+Ojo7u1q2bwWCQJEmSJJ1O165du3Hjxm3evLlPnz5K47i4uMLCwmr7sdlsS5cuVTefffbZ5cuX9+7d29fXV5IkHx+fHj16LFq06OWXX1bbvPXWW8rcKm7WdKnGxcXZ7fZZs2YtXry4Z8+eSoe+vr7h4eGrVq1Sl3CKj4/fsmVLQkJC586dY2JixowZExQUpNFoJEkyGo1TpkyZP3++2ufOnTtrGm7VqlXqH/7Hjh27cePGESNGBAYGKl3p9foBAwZ88MEH0dHRSpsjR444n0GnLlz1BVPFli1brFbrtGnT3n777f79+yvdajSa9u3bz5kz54UXXlBbKqVIN7PZbG+99Za6+cYbb8ybN69Lly5arVaSJH9//4iIiA8++EBZ6KemTppaZmam46bjNFGOtm/fLsvyhAkTVq5cOWDAAPVsdOzYsTElPo0/yUKIlStXqlUykZGRf//735VqJB8fH6U3o9EYERHx29/+dvPmzWPGjGlwtiqlSmb48OGrV6+OjIz09/eXJEmr1Xbp0uWVV15ZvHix2nLFihWOS1M58siLBQAAAAAAAADQDDGjDAAALcmdd94ZFRX1ww8/KJs2my0uLi4uLk6r1Q4aNCgiIiIsLKxr164BAQF173PGjBnOG/j5+b355pvPPPOMsl7Jnj17pk6denOz7777rqCgQIkfeuihxx57rNreoqOjc3Jy4uLihBAmk2nbtm3V9takmjTVMWPGjB079ub9vr6+s2fPXrJkibK5ZcsWIcSKFSuqvVgjRoz45JNPlL/rf/3119WOe+HChcOHDyvx3XffPXPmTEmSbm6m0WjmzJmTlpZ26dIlIcT777//4YcfVtuyjlz1BXOzkSNHTp48udqHxo8f/8UXXyjLje3du3fGjBk3H8L+/fvLyv4/e3ce18Sd/w/8M0mAJAgBOcSiSBEQD8rijVe7WLVe1UXq0e+vttJ6VJa639Ky69r1at32263b1lZYsMv20B4CXrVFrG21lV2LoKIoikhFFBE5E44cJPP7Y7azswEmgUwOyOv5h4/3ZD585p35zGBC3vl8WtkkJ06c2LkfkUi0YcOGmzdvVlRUmJOS4Ni5ggghkyZN4hmIqKioVatWWTJSXbLwJJeUlBQUFDBxaGjo1q1bxWJxd8dSKBTPP/+8IGkPGTIkOTlZJOqiyn/8+PFr1qzJyMgghKjV6q+//nrRokVGbax6szQ2Npqsu2IWjdLpdNz5hMBIR0cH8y/OkvPgVrbRNI2hdx7M8nYYdKditNiiWq3u8r916MfUanV3Bc1cGt6VPXuNpo2X+zQYDGZegnqDweQCxH2XLZ4a50s93MNptVot/hfod5j/4vHGx6lwly02GAwYeufBvIXHoDsVo2XK29vbBf+7JTgm9kvajjDo7b+8XxDkdSwKZQAAAPqYlJSUjIyM3Nxc7oN6vb6goID9ANvX13f27NmxsbHsFCYWksvlcXFxTG1Hd3UPn3/+ORuvWrWKp7dly5YdPHiQeUOVk5OzbNkyG/+h3KqpPv30093tGjNmDHczLi7O29u7y5YURc2fPz8zM5MQ0tzcrFKpOtfTfPrpp2y8YcMGnhepFEUlJSUxs9Tcv3//9u3bQ4cO5X8WFjLnguns2Wef7W4XRVFxcXHp6emEELVa3dDQ4OPjY9SGHVaZTLZw4UKerhITE7lz9thMXl4eu54XIYR/bph169ZZ442HhSeZW+iTkpLCUyUjrMTERJ5bb+7cuXv37mX+NPPFF188/vjjRqfOqjdLY2Pj3/72N/42w4cPJ/h7sXmMlicD54GaCeeEQXdazDKd4FSYGnqTtFYqlDEYz8BKm/2HdUM/L5TRm25kGZpTKcM9kxqNRo//Bfqpjo4O5q8o4GxQM+GE8D7OmbVb52UbODJHGHRhf+fg2xsAAAB9jFgsfv7553ft2hUdHd1dm7q6uk8//fS5557bvn27UqkU5Ljs4RobGzv/abuuro6ZiIIQEhsbK5fLebpydXV9/PHHmVir1TKTN9iMVVMdP348T4eurq6DBg1iN2fOnMnTVXh4OBs3NTUZ7W1vby8sLGTihx9+2OQcQqGhoTKZjInZGYmsiv+C6bI9/7Ngl3MihDQ0NBjtra+vZ2cJWrx4MX8BR2hoqKenp8mUhKLVaisqKnbs2LF79272walTp0ZERHT3I/7+/oGBgYJnYuFJVqlUly9fZrsKCAgQPMMuSaXSUaNG8TQQi8VxcXFM3NLSUlNTw93r+DcLAAAAAAAAAAAAANgSZpQBAADok4KDg7dt29bc3FxcXPzDDz8UFRUZTX7IKCwsXLly5Z///Gf+j5nNoVAo2Li5uVkqlXL33rp1i42nTZtmsrfJkycfOHCAicvLy0NCQixMz3xWTXXcuHH8vT3wwAPMgkqEkMGDB/O05J7wpqYmo2ktuCU706dP5z8oIYSiqMjISGbOoatXr5psbzn+C6azCRMmmN9h58oh7gkZP348f1cURT3yyCNHjhzhb9Y7cXFx3AlLurwxw8PD//d//5enE3PGtBcEPMmzZs0SLi8Tpk2bZnJynbFjx+7du5eJKyoquDeX498sAAAAAAAAAAAAAGBLKJQBAADowxQKxYwZM2bMmEHTtEqlqq6uvnz58okTJ+7cucO2MRgMf/jDH/bs2cOdy6QzmqarqqpKSkouX758586dmpoao8mxuZMkK5VKo964R3zggQdMZs6di6KystJkewFZNVX+k0wIYeebcXNzk0j4Xom5ubmxsU6nM9p7+/ZtNg4KCuI/KGPo0KHMZ//Xrl0zpz0/Cy+YzkxOT+Lq6srGWq3WaG91dTUbm7PiGLMUjjXwT8wukUiee+65xx57jH8NLyutjWXhSeYWmQUHBwuXlwlhYWEm23AvMO7dQax/s1AUZbIOjC30sfs6vg6OWfMYZ8l5sKtcMzD0TgX3uxPi3vIYeqfSo/vddteG2cfp7xcrRYjxulQ2OjBF4VdB/4P/350T/ot3WrjlnRDud6flOPe7sDmgUAYAAKA/oCjK09PT09MzIiJiyZIlNTU1f/vb386dO8c2eP311995553ufvzs2bPp6em1tbVmHq7zJ+h3795lY3MWtXF3d2djbuWKDVg1VW51S5fY8giTn6zzq6qqYuMXXniB6ZZ5wUrTNBsQQgwGAxOwU5uoVCqapi15TWn5BdOZyVPHjzus/MtpMXx9fS05XI+4u7sHBweHhoZOnDgxIiLCxcXF5I94e3tbIxMLTzK3Gok794y1+fn5mWzDLpZE/vtiINa/WR588MHTp0/zp7d27VpCiFwu9/HxMflcnFZLS4tarXZzczO5PBb0G62trez61iKRaODAgfbNB2xGq9UqlUqKovBb0XnodLrm5mZ2U6FQ8JeMQ39SV1dHCPH09DTnZbDawLeCaq+JxGKjYnaxWEKMv4zQNYlEItH328tVIpEQYvrNmiW4r6UlEknHL/GAAQMk+F+g31EqlVqtViqVcv+QAv2bSqVivzclkUi8vLzsmw/YjFqtbmlpEYvFVvoTFjggjUajUqnYTW9vb/7vAUK/YTAYGhoaiGMMOvupiiCZ9NtX+QAAAM4sICBg69atH330UU5ODvNIRUVFdXV1lxOoZGRkHD161MIjcqc8Meev3tzXMUYzkVibg6Rq4Ss59pNFQoharbY4nR4Q5IIRHLcWx5xza2HJCI+DBw+KxZb+fd8xPzrinmRzPucQCneem+5wz7nRfWrHmwUAAAAAAAAAAAAAHJAj/gkeAAAABPHUU0999913jY2NzOaVK1c6F8qcPHmSLXoQiUQLFiyIiYl54IEH3N3dJRIJdzLk6urqdevWdXcs7qfm7GQMPLjL01ivZKFLfShVHvYqpBDqghEct5bCYDCYLFWxXnmWI0xBaSXck6zT6SycFcl85sxIxL1PjQprHLPqCAAAAAAAAAAAAADsBX81BgAA6LdEItG8efP27dvHbP78889GDfR6fXp6OhN7enq+9957PLNl8teUDBo0iI1VKpXJWXZbW1vZuMt5bqynD6XKg/ssPvvsM9tMayzgBSM47glpa2szzKUkzAAAIABJREFUuTBQfX29lTPqh7jXv1KptNn6OMx0/fza2trYePDgwdxddrlZAAAAAAAAAAAAAMBhYfEwAACA/mzIkCFszF1/hFFdXc1Wgbzwwgv8a8reu3fPzANVV1ebTIzb27Bhw0y2F1AfSpXHgw8+yMb379+3zUEFvGAEFxgYyMa1tbUm21dUVFgznf4pKCiIjSsrK2123PLycpNtuHcB9x4ndrpZAAAAAAAAAAAAAMBhoVAGAACgP2tpaWHjznNs3L59m40jIiL4uyoqKuLZy/0E/V//+pfJxAoKCth4+PDhJtsLqA+lyiM4OJiN+YdGQAJeMILjnpBz586ZbP/9999bMZt+inuST5w4YbPj/vjjjzRN87fhDjq3MobY6WYBAAAAAAAAAAAAAIeFQhkAAID+7OzZs2wcHh5utFej0bCxWCzm6Uej0eTl5fE08PPz8/X1ZeLjx4+r1Wqexjqd7siRI0zs6uoaEhLC01hwfShVHgqFYuTIkUy8f//+jo4OGxxUwAtGcL6+vuwMNwcPHuRf+Km8vLy5udkmefUrHh4ebIFUYWGhzSYNam9vv3btGk8DvV5/4MABJnZ3dzdaIs0uNwsAAAAAAAAAAAAAOCwUygAAAPQZbW1thw4d0ul0Zravrq7mzobSeQoQtl6EEHLr1i2erjIzM01+urxs2TImoGn6008/5Wl58OBBtuRi0aJFIpGtX5D0oVR5rFy5kgna29v37NljgyMKe8EIjh3Wtra2Y8eOddeMpunU1FRbJdXfPPXUU2y8c+dOg8Fgm+Pu3r2b51gnTpxgZ8964oknKIoyamD7mwUAAAAAAAAAAAAAHJYDfdgDAAAAJmVmZq5YsSInJ6etrY2/ZU1NTUpKCrsZExPDzrfBGjZsGBu///77XVY20DT9xRdf5Obmmszt0UcfZQ9x6NCh7iYU+eGHH/bu3cvEbm5uTzzxhMmeBdeHUuUxevToadOmMXFubm5mZib/NCqEkLq6uk8++aS1tbV3RxT2ghHc7Nmz5XI5E6enp58/f75zG6ZKpry83Lap9R+RkZHjx49n4qtXr7722ms8czK1trb+/e9/F+S4lZWV7733Xpe1MsXFxbt372ZiNze3BQsWdG5j+5sFAAAAAKCfkQ4KHvvGtwMejLR3IgAAAAAAAkChDAAAQB+j1Wo/+uij5cuXv/baa6dPn75z5w77QTVN021tbVevXn3nnXfWrFmjVCqZxz08PDZs2NC5Kw8Pj6lTpzJxVVVVYmJicXEx21tbW1txcXFycvK+ffsIIfHx8fyJicXiP/3pT+zm7t27d+zYUVlZyZRT6PX627dv79y586233mLb/OEPf5BKpb07D5boQ6ny27Bhw+DBg5n40KFDTz311FdffVVTU6PVapkHDQZDa2trZWXlsWPHfve73yUkJGRlZfV6FhBhLxjBSSSSjRs3sptbtmxJS0urqalhnq9Wqy0tLU1OTmbqohYtWmTj9PqNl156ia0zKywsXLVq1ZdffllXV8eUntA03draeu3atd27d69YseLw4cOWH3HhwoWEkG+//fbFF1+8fPkyc3kbDIba2tqMjAzuvZySkuLq6tplJza+WQAAAAAAAAAAAADAYUnsnQAAAAD0UkFBAXdlpe54e3u/9dZb7EwbRpKSkoqLi5lVS+7evcv9yJkrMTExKioqOzub/1ihoaHbtm3btm0b8+nyTz/99NNPP3XX+MUXXxw3bpzJ/K2kD6XKw83N7d1333311VcvXbpECGlpaUlPT7fqEYW9YAQXFRX1/PPPp6WlMZu5ubldzm2TlJQUHBwsSA2HE5LL5e+///4f/vCHqqoqQkhra+uePXusup7R5MmTR44c+eabb1ZUVHBroYw8++yzEyZM6G6v7W8WAAAAAAAAAAAAAHBMmFEGAACgz5DL5ZmZmQkJCYGBgea0l8lkq1ev/uCDD/z8/Hj6TEtLCw8P766BVCrdunXrnDlzzEwyOjr6H//4R0REBE+boKCgjIyMRx55xMw+raQPpcpDKpW+9tprr7zyikKh4G9JUdTs2bPfe+89Dw+PXh9O8AtGcHPnzn399dfd3d273CuRSDZt2jRr1iwbZ9XPeHh4vPfeewkJCRIJX9l9VFRUamqqIEecNm3a1q1bu5stRiaTvfrqqyZnCbLxzQIAAAAAAAAAAAAAjgkzygAAAPQlvr6+ixcvXrx4sUqlun79+rVr127evHn79u179+7pdDqpVDp48OAhQ4aEhoZGRUUFBQWJxWKTfSoUir/85S/Xr18/efJkSUkJM0uEv7//qFGjYmJioqOjXVxcepSkt7f3m2++WVtbe/r06StXrpSWlra0tMjl8hEjRowaNWrKlClDhgzp5fMXWh9KlQdFURMnTvz4449v3bp19uzZ69evl5WVNTU1EUL8/f2HDh06fPjwhx56KDw8vKdD2SXBLxjBjR49eu/evWfPnj1z5sz58+ebmpq8vLzCwsKmTZs2efJkB1xCqy8SiUSLFy9euHBhcXHxhQsXrly5UllZqdVqBw4cOHz48KioqEmTJvn7+wt4xLFjx+7bt++nn37Kz8+/evVqU1OTp6dndHT0pEmTJk+ebM7vOmLzmwUAAAAAekTkIgl4OErwbt2GD3Id5PNfDw0IJAPMKokWUwoPV3m4QiZ4Vo6ApjzGDdUL3u1FimJXMHVxlRLpUCamAlzF6n/voTy8BT8uAAAAAID5KJqm7Z0DAAAAAADAf9TU1KxZs4aJd+zYERkZad98LLR27dqioqL169cnJCTYOxfH1dLSolar3dzcMJGP82htbW1vb2dikUg0cOBA++YDNqPVapVKJUVRPj4+pltDv6DT6Zqbm9lNLy8v/nnpoD+pq6sjhCgUChQiOw93d/e2tjYmfuWVV1599VX75gM2o1QqtVqtTCbrbpJX6H9UKpVGo2FiiUTi5eVl33zAZtRqdUtLi1gs9vZG4aOz0Gg0KpWK3Rw4cKBIhIVrnILBYGhoaCCOMeitra0PP/wwIWT//v0hISEW9oYrGAAAAAAAAAAAAAAAAAAAAACcAr69AQAAAH2bWq1esWIFEyclJcXGxjpmn0bu3bu3bt06Jt6+fXvfnTDDBufKcn0iSetxqqd//fr1lJQUJk5NTR08eLB98wEAAAAAAAAAAAAAR4NCGQAAAOilFStWqNVqngZyuXzIkCEPPvjg2LFjx4wZI5fLrZSJXv/vVdUNBgN/S/v2yUXTNHsIG/jpp5/eeOMNJn700UcTExN70cmHH354+PBhJn7xxRenT5/OxNY+V4Jw2CS591FOTo6Vpq902KdvDeyTxSKzAAAAAIK7s+PtloLzZjb2CB/kKS4nhOhEIh0hhBCR/+AfFjx+vE7F/4M95ePi9e0/XYXtkzXq3D2DHi8se0Cn/c9b3YrWsi8rszu3GevrLhHVEkJcdR6K06f+68cpvwPPmHuNGXnks1cGx0b37mcBAAAAwKmgUAYAAAB6Sa/X85d6qFSq0tLS0tLSr7/+mhAyb968Z555RiqV2ipB+I/o6GiDwcDUDRw/fnz16tWurj37O7Jerz9y5Ag74hMmTBA+S6dk8j4CAAAAAHAchpY2fZPS3MatnpRERQhhy0zoAZ4afYdKpxE2qwFiXWMbJWyfLFWz2mBAoUwPcOvV9bReo+9quClXA60mhNCUlGj+u3DKZYD6flPvDm3QdvTuBwEAAADA2VjlG6sAAAAAnX399dfPPfdcc3Oz7Q+tVCp/84t//vOftk/A7lxdXWfNmsXENE1fuHChpz2UlJR0dPz7b44PP/wwCp4AAAAAAAAAAAAAAKAvwowyAAAAIICDBw+KxWLuIzRNd3R01NfX//Of/9y7dy9TY6FUKlNSUtLS0qy0vgwPrMYyf/7848ePM3F2dvbEiRN79OMHDx5k44ULFwqZGQAAAAAAAAAAAAAAgK2gUAYAAAAEQFHG01xTFOXi4hIQEBAXFxcbG7t27dr29nZCyN27dwsKCiZPnizUoaVS6ZEjR4TqzXp92l1wcLC3t3djYyMh5OrVq42Njd7e3mb+rEqlOnfuHBMPGDAgLCyM3dUnzlWfSBIAAAAAAAAAAAAAAGwASy8BAACA1Xl5eW3YsIHdPHXqlB2TcVoURcXHx7ObPRoF7npVcXFxneuiAAAAAAAAoB9rVt3Z++Wq2voyeycCAAAAACAAzCgDAAAAthAZGcnGly5dsmMmzmzGjBl79uxh4pycnEWLFplT8kLTdFZWFrsZGxtrrfwAfhEQEIBJgAAAAAAAHAdNiMGgJ8RJ1zIGAAAAgH4GhTIAAABgC3K5nI01Gk2Pflav11+6dCk/P//KlSu1tbUdHR2jRo3asWOH0Dn2Um1tbVFR0YULFyorK+vq6kQikZ+fX0hIyJgxY6Kjo/39/c3viqbpkpKSH3744eLFi/X19TKZbMSIERMmTJg+fTr3BPaaQqGIjIxkCpWam5t//vnnkJAQkz91586d2tpaJg4PDx84cKDlmRCzh1Wv1589e7agoODChQtNTU3e3t7h4eFTp06dOHGiq6urIJl0x9rD0VMCXmk8aJq+devWxYsXr1y5cuPGjYaGBolEMmTIkLCwsHHjxj300EO9O+1CnUy9Xl9UVHTmzJni4uLGxkYvL68RI0ZMmTJl0qRJPU3MNucTAAAAAAAAAAAAABwNCmUAAADAFtrb29k4MDCwu2b37t1bt24dE2/fvj0yMrKsrGz79u1KpZLbTKfTsbFarV6xYgUTJyUlGc13sn79+rt379L0f7709uabb4pEXaw+mZWVJZFIzOmTpVKp3n777cLCQqPHq6qqqqqqmLWNRo4c+dxzz4WFhXX3lFk1NTWbN2+uqalhH9FqtQUFBQUFBampqcnJyTNmzDDZiUlLlixhZ/TJzc1NTEw0+SPHjx9n4yeeeMJorznnqhfDyrh06dKf//zn1tZW9pH79+/fv38/Pz/fzc3tj3/8Y3R09PXr11NSUpi9qampgwcP7pyAySQ7Z2ib4TCTsFdad1pbW7/55pvs7GyjcdFqtWVlZWVlZV999RVFUevXr589ezbPXETWO5nXrl3bvn27SqViH6mrq6urq2Ouh40bN44dO9acfmxzPgEAAAAAAAAAAADAMXXxKREAAACA4K5cucLGkyZN6q4ZTdP6XxBCCgsLX3rpJaOP7Ttjf8RgMHS5i/s49xBc5vfJaG5uXr16defP2o2UlpYmJydz64S6VF5evnbtWm4lARdN02+99VZubi5/J+aIiopi64GOHz/euTbFiF6vP3r0KBNTFBUdHd1lG/5z1bth/fLLLzdt2sStkuHSaDRbtmw5efIkNwFuRVSPkjTK0GbDYQ5hrzQeKSkpmZmZ/ONC0/Tu3bu3bdvW3VgTq53MEydOvPzyy9wqGS6NRrN161amxoWfzc4nAAAAAAAAAAAAADgmzCgDAAAAVqdSqd599112c9asWeb8VFFR0cGDBwkhoaGhzzzzTGhoqEwmo2m6trY2Pz/fWrmabdu2bW1tbUwcExMTFxcXGBgol8spijIYDC0tLczUFHl5eSa7KikpycrKomk6IiJi5cqVISEhzDOtq6vLyspie0hLS4uJifHy8rIkbbFYvGDBgkOHDhFCaJo+f/78xIkT+XPr6Ohg4scee8zy1Y7MHNaioqI9e/awm3Pnzl20aNGgQYNEIpFGo7lx48bf//738vLyv/71r0uWLLEwJSO2HA5zCHilmWPYsGELFy4cOXKkj4+PTCYjhOj1+sbGxoKCgo8++kitVhNCzp07t2/fvqeeespkb0KdzJKSkl27drGbM2fOjI+PDwgIEIlEarW6vLw8IyOjsrJy586dJq8HG59PAAAAAAAAAAAAAHA0KJQBAAAAa+F+vs5OzLB+/XpfX19zfvzAgQOEkMWLF69atYpd54WiqICAAPNrI9LT0wkhTU1NK1euZB55+eWXp0+f3qMn0tmdO3fKy8uZ+Mknn1y+fDl3r1gsVigUCoVizJgxCQkJR44c4e/ts88+I4SsXLlyyZIl3Gfq7++fmJgYFBTElozk5OQ8++yzFiY/Z84cplCGEJKdnc1fKMMUtTDmzp1r4aGJecOq0+n+7//+j/2RV199NSoqit2USqWjR4/euXPnnj17jh49mpOTY3lWXDYeDn7CXmn8xo0bt3HjxiFDhhg9LpFI/Pz85s+f/+ijj27evLm0tJQQkpWVtWDBAm9vb/4+BTmZer1+x44d7OYrr7zCvWhlMllkZOS77767a9eu7777jv96sOX5BAAAAAAAAAAAAADHhEIZAAAAEEBcXBz7KTij82JGQ4cOTUpKioiIML/bqKgobjlFr4lEoi7jXrt+/Tob81ftyGSyZcuWmewwNjY2Pj6+y13MBDD3798nhOTl5SUkJFh4QgIDAwMCApilcK5evdrU1NTdTB4qlercuXNM7O3tPWzYMEuOyzI5rHl5eczMJYSQxMREbpUMi6Ko1atX//zzz5cvXxYkKy5bDgc/wa80HgkJCfwN3NzctmzZ8vTTT2s0GkLIsWPHVqxYYbJby0/miRMn2BW4EhISuiztEolEGzZsuHnzZkVFBU8y1jifOp2OeQo8mN+HBoOh8y9GYDFLpzFLd9k7F7ARo/XyMPTOg1m/D/e7UzFatBH/J/ZpPKuddtnanIcEYJ1ewYpoQihCenpFmYJfL/bFjCZGwalwb2G8unMqeEnvhIxe0uv1emH/EweHxQ69Iwy6sL9zUCgDAAAAAjB6odzZnDlzVq1aJZfLe9TtunXrrFqF0Gv19fVMIJVKXVxcLO+QZ2ISiqLi4uKYqXHUanVDQ4OPj4+Fh1u6dCm7kM2pU6cWLVrUZbN//vOf3B8RaixMDmtWVhYTDBgw4NFHH+2uGUVRa9eufeGFFwTJisvGw8FD8CvNQnK5PC4ujpknxsxCGctP5ueff84EMpls4cKFPL0lJiYmJyfzJGON81lVVbV06VL+NsOHDyeEqNXqxsZGQQ7aj2m1Wq1Wa+8swA4MBgNuECeEQXdaSqXS3ilA7+l0OvMb6zu9T9TrDR096cHcA+FTur6mo6PD1YWQrsbOktFsaWnBfy52p9FomC9XgLNhJpa2dxZgU3gf58yam5vtnQLYmiMMeltbGxOY/EDKHAJ8oxoAAADApLy8vOXLl3/44YcdHR1m/oi/v39gYKBVs+o1Dw8PJlCr1excF70WHR3NdtilkSNHsnFDQ4OFhyOETJkyhY2zs7O7rASnaZotWCGEzJgxw/LjEjOGta6ujn2P/Zvf/EYsFvM0Dg4OFrxOxfbDwUPYK00Q0dHRTNDY2MhO/MPT2MKTWV9fz1a3LF68mP96CA0N9fT05GnggOcTAAAAAAAAAAAAAGwMhTIAAAAggIMHDx7p5NChQ/v27du6dWtoaCjT7MCBAy+99JLJD9cZ06dPt2bKFgkLC2PjN954gy1k7p0JEybwN1AoFGzc1NRkybEYcrk8JiaGiZubm2/evNm5ze3bt2tra5k4KiqKv9zBfCaHlZsMW5NhSYc9Zfvh4CHslSYI7tM3+TUCy08m93oYP348f28URT3yyCM8DRzwfAIAAAAAAAAAAACAjWHpJQAAABBAlyvpiEQiDw+PsWPHRkdH5+TkfPzxx4SQioqKHTt2vPrqqyb7HDp0qPCJCiQ4ODgwMPDOnTuEkOLi4uXLl0+bNm3u3LnDhw/v6fJShJCAgAD+Bq6urmws1KIkixYt+te//sXEX3/9dWJiolGD48ePs/GSJUsEOSgxY1iZs8rw8/Mz2WFISIilOf03uwxHd4S90sxB03RVVVVJScnly5fv3LlTU1NjNGk2d1pLpVI5aNAgnt4sP5nV1dVs7O/vz98b+WWRo+7Y/nwCAAAAAAAAAAAAgKNBoQwAAABYHUVRS5YsKSoqunz5MiGkuLi4tLSUu+RKl7y9vW2SXW9QFLVt27akpKT29nbmkdOnT58+fZoQ4uPjM3HixAkTJowcOdLd3d2c3tzc3KyYazciIiJkMhmT//Hjx9esWePi4sLu1ev1R48eZWKJRBIZGSnUcU0O671799jYnNoFwZdesstwdEfYK82ks2fPpqenszMJmWSyTsjyk3n37l02Nud68PX15dlrjfM5aNCgN998k7/NJ598QghxdXUVamamfkmtVut0OolEIpPJ7J0L2IhGo2F/jVAUNWDAAPvmAzbT0dHB/B7Gb0XnodfruRO5yeVy/uUUwZG1SiQa063+TdTpCxUikUgsEf4v0iIRrqg+hv0l0HnsRKLez4Ivk8nwn4sdtbe3d3R0uLq6OtTbarAq5n0cE4vFYnwFxXnodDq1Wi0SiYT6kxQ4PvZ9HGPAgAFdfnUW+h+apltaWohjDDr7QlGQTFAoAwAAALZAUdSTTz65adMmZvPQoUMmC2UkVvj7qYD8/f3/8Y9/ZGZmcmdeIYTU19fn5ubm5uYSQsaPH//MM88EBQXZKUc+IpFo8eLFn332GSGEpunz589PnDiR3Xvp0iW9Xs/Ejz/+uICfZJgcVm7thTl/Ie33f4Cz2ZWWkZHBVkc5DsGvB8HPp7u7e2xsLH+bL774ghAikUj6/eVqCZ1Op9PpxGIxzpLz6OjoYGOKojD0zoOiqPb2dgy6U2E/QmO4uro6+Et94NGjIgaqU2OKojpXz1iOEuFzmj6GHTJRp7Gz5GMPFxcX/OdiR8x0pHhJ71S479nx6s6p0DRNMOjOzdXV1ZLaVuhD2PnFHWHQ2T8loVAGAAAA+pLg4GA2/te//kXTtN0LkC0kl8t/+9vfJiQkXLhwIT8/v6CgwGiRmsLCwsLCwri4uKefftoBn+yjjz7KFMoQQrKzs7mFMjk5OWw8a9YsW2bFndjGYDCYrNGx9uJHjsAGV9rJkyfZKhmRSLRgwYKYmJgHHnjA3d1dIpFQFMV2W11dvW7dOgufkfm4azOZcz0YnZku9fU7FwAAAAAAAAAAAAAsgUIZAAAAsBGj+Vfb29v7x4yscrl8ypQpU6ZMoWm6qampoqLixx9/PHXqFDsjy4EDB4KCgkzOOWF7fn5+ISEhFRUVhJCrV682NTV5eXkRQlQqVXFxMdNm8ODBgYGBtsxq0KBBbNze3s6tm+lSfX29lTNyFNa70vR6fXp6OhN7enq+9957PCtksYezDe710NbWplAo+Nubfz303TsXAAAAAAAAAAAAACyBOZEAAADAPowmYO8HKIry9vYeN27c7373u6ysrISEBHZXRkYGO0WhQ4mPj2fjU6dOMUF+fj774BNPPGHjlLh1Offv3zfZ/ubNm1bMxiEJfqVVV1e3trYy8QsvvMBTJUMIuXfvXk/7twT3eqitrTXZnin86pG+eOcCAAAAAAAAAAAAQK+hUAYAAABspK2tjbtpryVsmTV0rU0ikSxevHj27NnMZltbW0NDgw2O21MTJkxg4+zsbJqmaZrOyspiH5wyZYqNUxo2bBgbX7hwwWT7H374wZrpODpBrrTbt2+zcUREBH/joqKinvZvCe6SbefOnTPZ/vvvv7fkcH3lzgUAAAAAAAAAAACAXkOhDAAAANgId+YPd3d3qVRqs0OLRP95zdPR0WGz43KrTFQqlc2Oaz43N7eZM2cycXNz882bN2/fvs3O4xITE2P75bH8/Pw8PDyY+ODBg/zzeVRVVZkz60y/Z+GVptFo2FgsFvO3zMvL62n/lvD19WVnuDl48CD/wk/l5eXNzc2WH9Tx71wAAAAAAAAAAAAA6DUUygAAAIAt0DT96aefspu//vWvbXl0blGOLesquHNRDBgwwGbH7ZEFCxaw8ddff338+HF2c9GiRbbPh6Iodr0npVLJLgjVGU3TGRkZtsrLoVl4pfn6+rLxrVu3eFpmZmbastSMsWzZMiZoa2s7duxYd81omk5NTRXkiH3izgUAAAAAAAAAAACA3kGhDAAAANjCwYMHL1++zG7auAJDIpG4u7sz8dmzZy3vcP/+/ZcuXeKf3KK9vf2TTz5hYqlUyq1FcCghISEKhYKJjx8/fvToUSaWyWQmV+Gxknnz5rm6ujLx22+/XVpa2rkNTdMff/xxcXGxbVOzNdtcadzlrt5///0uS2Fomv7iiy9yc3N72rnlZs+ezc5slJ6efv78+c5tmCqZ8vJy/q76050LAAAAAAAAAAAAAL2DQhkAAACwFpqm29raLl26lJKS8uGHH7KP/7//9/8GDRpk42RiY2OZ4OrVq19++aVKpaJpute93bhxY9OmTcuWLcvIyCguLm5oaNDpdMwuvV7f2Nh48uTJNWvWNDY2Mg+uW7eOoigLn4KVUBS1ZMkSJqZpmq0h+M1vfsNdssqWXF1dk5OT2c3f//73mZmZtbW1zDJMWq22rKzsj3/8Y05ODrHTtDc2Y5srzcPDY+rUqUxcVVWVmJhYXFysVquZR9ra2oqLi5OTk/ft20cIiY+PF+CJ9YREItm4cSO7uWXLlrS0tJqaGvZ6KC0tTU5OZtaE4r8e+tOdCwAAAABgS14egSsXfezvM8LeiQAAAAAACEBi7wQAAACgP4iLizP6OJmmaeZjbCOzZ89mF9axpcWLF3/55ZdMvGfPnj179hBCRCIRm3ZWVpZE0rOXRlqt9ujRo+wULN2ZM2eOjZea6qlHHnkkMzPT6MGZM2faJRlGTEzMypUrP/74Y2bz0KFDhw4d6twsKSlp2LBhhw8fZjb7a02DDa60pKSk4uLilpYWQsjdu3f/9Kc/ddksMTExKioqOzu7d0fptaioqOeffz4tLY3ZzM3N7XJum6SkpODgYPZ66E6/uXMBAAAAAAAAAAAAoBcwowwAAAAIwGAw6P9b5yqZwYMHv/baa7/97W/tUs3g5+f3+9//3ujQ3LStcVAPD4+XX355/fr1Dl7A4eXlNXr0aO4jISEhfn5+9sqHER8fv2XLFqlU2uVesVj8xz/+cdasWdwrraelTv2G5Vc9oYlCAAAgAElEQVSaXC5PS0sLDw/vroFUKt26deucOXN6m6Ol5s6d+/rrr7NrqBmRSCSbNm2aNWuWIMfqK3cuAAAAAAAAAAAAAPSCk36WAAAAADYgkUgGDRoUHBwcERExbty4wMBA+37qPHXq1M8///zMmTNnz569efNmTU1NR0dH77pKSUm5f//+rVu3bt68+fPPP9+9e/f+/fvt7e0Gg0GhUAQFBY0aNSo6Ojo8PNxeqxf1VHx8/OXLl7mbdkyGNW7cuE8//fTMmTMFBQXFxcVNTU1eXl5hYWFTp06NiYlhamiam5vZ9t1VUfRdtrzSFArFX/7yl+vXr588ebKkpKSqqooQ4u/vP2rUqJiYmOjoaBcXFyGeU++NHj167969Z8+ePXPmzPnz59nrYdq0aZMnT+6upoqr/925AAAAAAAAAAAAANBTFE3T9s4BAAAAAKCXcnJyPvroIyY+fPgwpgABB7R27dqioqL169cnJCTYOxfH1dLSolar3dzcPDw87J0L2Ehra2t7ezsTi0SigQMH2jcfsBmtVqtUKimK8vHxsXcuYCM6nY5b3Ozl5eW0EwH2A/ompUGrNbMxRdHNygZCiKen578HXUSpZVI1LXBRMm0gOp21Cp0lWj3eY/TIkCD/9vY2Jv79H3+/edvmzm0kIoOYIoQQSm8Q6f7rGyz6Dlrd1MU6zuaQ+nqKZW69+1mwnFKp1Gq1Mpms/32JBbqjUqk0Gg0TSyQSLy8v++YDNqNWq1taWsRisbe3t71zARvRaDQqlYrdHDhwIL5m5iQMBkNDQwNxjEFvbW19+OGHCSH79+8PCQmxsDe8KQUAAACAPuzHH39kguDgYFTJAAAAAABYldjLU9yT9jTzEl2hoH6ZnlBGiEz4vKzUKfQG922Zi8hFLpHztZYYf0YhJsQdhdMAAAAAYGUolAEAAACAvqqurq6iooKJZ82aZZuDqtXqFStWMHFSUlJsbKxtjmtHzvOUr1+/npKSwsSpqamDBw+2bz4AAAAAAAAAAAAAIDgUygAAAACAAFasWKFWq5k4JyfHBtMw0jSdmprKbk6YMMHaR2Tp9XomMBh6OSW4gGxz5h3qKVsV+0yxRi0AAAAA9EJHQ2P954e62ysa4Oa24kFrHPdi1cCzlT2a7sdaOgz/eSEtqrtCl3xh1IAavZRgNlAAAAAAsCsUygAAAACAAPR6PVthYDmapjMzM5cuXerh0fWk23q9/oMPPigsLGQ2Y2JiAgIChDp63yLsmQcAAAAAAEvom1X1Xxzubq8kcKBH/CRrHLf4zpi9BRpr9NxT/1Uo0/QzfT3PqAE1+glCUCgDAAAAAPaEQhkAAAAAcESHDx8+fPjwzJkzZ86cOWzYsAEDBlAUpdfrlUrlhQsX9u3bV1tby7QUi8Xr1q2zb7YAAAAAAAAAAAAAANAnoFAGAAAAABzXt99+++233/I0kEgkb775pre3t81SAgAAAAAAAAAAAACAvguFMgAAAADQV0VHR7/00kvdLc9kJVKp9MiRI7Y8IgAAAAAAAAAAAAAACAWFMgAAAADgcCiK+uKLL37++efS0tLy8vLbt283NDSoVCqJROLr6xsRERERERETE4OJZAAAAAAAAKxNXVtZ+u6asNU7BwSPsXcuAAAAAAACQKEMAAAAADgimUw2atSoUaNG2TsRAAAAAAAA50bTtL6D0LS98wAAAAAAEAYKZQAAAADApmiavnXr1sWLF69cuXLjxo2GhgaJRDJkyJCwsLBx48Y99NBDrq6uvehWr9dfunQpPz//ypUrtbW1HR0do0aN2rFjh+D590htbW1RUdGFCxcqKyvr6upEIpGfn19ISMiYMWOio6P9/f37WTJWGlym55KSkh9++OHixYv19fUymWzEiBETJkyYPn26XC43sxO9Xl9UVHTmzJni4uLGxkYvL68RI0ZMmTJl0qRJvU4MAAAAAAAAAAAAAPoWFMoAAAAAgI20trZ+88032dnZSqWS+7hWqy0rKysrK/vqq68oilq/fv3s2bMpiuqun3v37q1bt46Jt2/fHhkZWVZWtn37dqNudTodExw9evTvf/87E7///vuBgYEmU9Xr9f/zP/+j0WgIIeHh4f/3f//H7lKr1StWrGDipKSk2NjYLntQqVRvv/12YWGh0eNVVVVVVVWnTp0ihIwcOfK5554LCwszmY+FbJCMUINLuhrfmpqazZs319TUcLstKCgoKChITU1NTk6eMWOGyQyvXbu2fft2lUrFPlJXV1dXV5efn+/m5rZx48axY8f27DkDAAAAAAAAAAAAQB8ksncCAAAAAOAsUlJSMjMzjQopjNA0vXv37m3bthkMBp42+l8QQgoLC1966SWebqdPn862z8vLMyfVK1eutLW1MT+yZMkSo71sb90l2dzcvHr16s6FKUZKS0uTk5Pb29vNSanXbJOMUINLOo1veXn52rVruVUyRo3feuut3Nxc/vROnDjx8ssvc6tkuDQazdatW5mCIQAAAAAAAAAAAADo3zCjDAAAAADY1LBhwxYuXDhy5EgfHx+ZTEYI0ev1jY2NBQUFH330kVqtJoScO3du3759Tz31lMneioqKDh48SAgJDQ195plnQkNDZTIZTdO1tbX5+flMG4VCERkZeenSJULI0aNHn376abFYzN8t0ychRCQSRUdH9/Q5btu2ra2tjYljYmLi4uICAwPlcjlFUQaDoaWlhZnHxcyqHQvZMhlhB5cQUlJSkpWVRdN0RETEypUrQ0JCmPGtq6vLyspic05LS4uJifHy8uquk127drGbM2fOjI+PDwgIEIlEarW6vLw8IyOjsrJy586dnYuiAAAAAAAAAAAAAKCfQaEMAAAAANjIuHHjNm7cOGTIEKPHJRKJn5/f/PnzH3300c2bN5eWlhJCsrKyFixY4O3tzd/ngQMHCCGLFy9etWoVu6APRVEBAQHcooclS5YwhTIdHR0XL17kr31RqVTs/CuPPfaYi4tLj57mnTt3ysvLmfjJJ59cvnw5d69YLFYoFAqFYsyYMQkJCUeOHOlR5z1ls2SsMbiEkM8++4wQsnLlyiVLlnDH19/fPzExMSgoaM+ePcyDOTk5zz77bOce9Hr9jh072M1XXnll4sSJ7KZMJouMjHz33Xd37dr13Xff5eTk9OxpAwAAAAAAAAAAAEBfg6WXAAAAAMBGEhISOhdScLm5uW3ZssXNzY3ZPHbsmDndRkVFcatkumvDziLD1NbwYKeiIYTMnTvXnBy4rl+/zsb8M5TIZLJly5YxM69Yic2SsdLgEkJiY2Pj4+O7HN8FCxb4+fkxcV5eHk3TnducOHGitbWVTZJbJcMSiUQbNmwICQkxMyUAAAAAAAAAAAAA6LswowwAAAAAOBC5XB4XF8fMI3Ls2LEVK1aY/JF169bxV8kQQsRi8cKFCw8dOkQIKS4uViqVnp6eXbakaTorK4uJfX19g4KCevYECKmvr2cCqVTa09loBOdQyfRicAkhXc4Tw6AoKi4uLj09nRCiVqsbGhp8fHyM2nz++edMIJPJFi5cyNNVYmJicnKyOSlxVVdXb9myhb8Ns/SVWq1ubm7uaf/OQ6/XE0J0Oh3OkvNgBp1B0zSG3nkwdY0YdKdiVMza0tJi8sUb9DOtra3OM+gdLS08e7us7RaEXt9hpZ4F19zcTCh8g7cfYl7daTSajo4+czWChbgv6fV6PV7dOQ+DwcD8i0F3Hsygs5RKpfO8ugOGSqWydwr//isr6XRB9g4KZQAAAADAsURHRzO1FI2NjWq1WiqV8jT29/cPDAw0p9s5c+YwhTKEkB9//HH+/PldNrt9+/b9+/eZeOnSpb14y+fh4cEEarW6tbXV3d29pz0IyKGSIT0cXKY9+xS6NHLkSDbuXChTX1/PlgotXryYnVWoS6GhoZ6enkqlkj8lI2q1+vz58/xthg8fTggxGAw6na5HnTshg8EgyBtd6HNomsYN4oQw6E4LH6A6Iaca9A47/XIzGKxVgiM4nU6HQpl+DC/pnRZe0jshDLozc6pXd8BwhPtd2BzwehQAAAAAHItCoWBjk19MmT59upndBgYGDh48mIn379/f3Vc5v/76azaeNm2amZ1zhYWFsfEbb7zB1rnbhUMlQ3o4uISQCRMmmN9hU1OT0d6bN2+y8fjx4/m7oijqkUceMZkSAAAAAAAAAAAAAPRpmFEGAAAAAGyKpumqqqqSkpLLly/fuXOnpqZGo9FwG3C/fKZUKgcNGsTT29ChQ80/9LJly9555x1CSGNjY2VlZXBwsFEDnU6Xm5vLxOPHjx8wYID5nbOCg4MDAwPv3LlDCCkuLl6+fPm0adPmzp07fPhwuVzeiw4tYeNkhB1cQkhAQAB/A1dXVzbWarVGe6urq9nY39+fvyvyy9QvAAAAAAAAAAAAANCPoVAGAAAAAGzn7Nmz6enptbW1ZrbvXPpgxNvb2/yjT548mY1zc3Off/55owbFxcVsJcdvfvMb83vmoihq27ZtSUlJ7e3tzCOnT58+ffo0IcTHx2fixIkTJkwYOXKkbVZBsmUygg8uIcTNzc2SlO7evcvG5hQG+fr69vQQ7u7uDz/8MH+be/fuEULEYjG3rAeMdHR0GAwGkUgkkeBdqrPQ6/V6vZ6JKYpycXGxbz5gMwaDgZmmG78VnYfRtPwuLi69WN0S+ijmJZ9EIhGJnGVqc8pO/6OJRH3mtnJ1dcXSS/0S85JeLBbzL3oL/Qkz6EyMl/ROhXlJj0F3Kuz7OAZe0jsP9t2cIwy6sGt+4U+QAAAAAGAjGRkZR48eFbbPHn2mLpfLp06dmp+fTwg5duzYc889Z/R+PisriwmkUumoUaN6nZW/v/8//vGPzMzM48ePcx+vr6/Pzc1lJq0ZP378M888ExQU1OujOFQy1hhcy3Frccz5bKYXdTmDBg3auXMnf5u1a9cynXt6eva0f+fR0tKiVqtdXFw8PDzsnQvYSGtrK1vDR1EUbhDnodVqlUolBt2p6HQ67pKL7u7uKIt0HnV1dYQQd3d35/kgTTNgwL3u91rv0wWxWEKI3kqdC8vT0xOFMv2SUqnUarWurq62+VoIOAKVSsXOIysWi/Hqznmo1eqWlhaRSIRBdx4ajUalUrGbHh4ezlMG7eQMBkNDQwNxjEFni3EFyQRvSgEAAADAFk6ePMkWUohEogULFsTExDzwwAPMJyUURbF/Mq6url63bp2V0li0aBFTKEPT9Pnz5ydOnMjuamxsLC0tZZtZ+B04uVz+29/+NiEh4cKFC/n5+QUFBUaLEBUWFhYWFsbFxT399NPWLsa3djIOMridcecqYL7ayN/e6LQAAAAAAAAAAAAAQP+DQhkAAAAAsDq9Xp+ens7Enp6e7733Hs+SSexKHNYwYsQId3f31tZWQsj+/fu5hTKnTp1i41mzZglyOLlcPmXKlClTptA03dTUVFFR8eOPP546dYp9jgcOHAgKCoqNjRXkcHZJxnEGt7NBgwaxcVtbm0Kh4G9fX19v5YwAAAAAAAAAAAAAwM4wJxIAAAAAWF11dTVTm0IIeeGFF3gKKQgh9+7xTFVuKYqi4uLimLisrKyxsZGJaZrOzs5m4mHDhvn7+wt+XG9v73Hjxv3ud7/LyspKSEhgd2VkZLBLetuGsMk4zuB2FhgYyMa1tbUm21dUVFgzHQAAAAAAAAAAAACwPxTKAAAAAIDV3b59m40jIiL4GxcVFVk1Ge6MKd9//z0T3LhxQ6lUMvHSpUutmoBEIlm8ePHs2bOZzba2NmadV7uwPBmHGlwjwcHBbHzu3DmT7dnrAQAAAAAAAAAAAAD6KxTKAAAAAIDVaTQaNhaLxfwt8/LyrJqMj49PeHg4E+fk5NA0TQg5evQo24C7HpP1TJkyhY1VKpUNjsjDkmQcanCN+Pr6sjPcHDx4kH/hp/Ly8ubmZpvkBQAAAAAAAAAAAAB2g0IZAAAAALA6X19fNr516xZPy8zMzI6ODmvn88QTTzCBSqUqLy/XaDTfffcd88jMmTPd3NysnQAhhDtxy4ABA2xwRB6WJONog2tk2bJlTNDW1nbs2LHumtE0nZqaaqukAAAAAAAAAAAAAMBuUCgDAAAAAFY3bNgwNn7//fe7rJagafqLL77Izc21QT5jx46lKIqJjx49evbsWXbXggULLOx8//79ly5d4p+8pL29/ZNPPmFiqVTKrTURlg2ScbTBNTJ79my5XM7E6enp58+f79yGqZIpLy+3bWoAAAAAAAAAAAAAYAcolAEAAAAAq/Pw8Jg6dSoTV1VVJSYmFhcXq9Vq5pG2trbi4uLk5OR9+/YRQuLj462dj4uLy2OPPcbE33///YcffsjECoUiJCTEws5v3LixadOmZcuWZWRkFBcXNzQ06HQ6Zpder29sbDx58uSaNWsaGxuZB9etW8dW7QjOBsk42uAakUgkGzduZDe3bNmSlpZWU1NjMBgIIVqttrS0NDk5mVkTatGiRTZODwAAAADA8UkHBY9949sBD0baOxEAAAAAAGFI7J0AAAAAADiFpKSk4uLilpYWQsjdu3f/9Kc/ddksMTExKioqOzvb2vnMmzePneCktraWCZYuXSpUzYpWqz169OjRo0f5m82ZM+fXv/61IEe0YzKONrhGoqKinn/++bS0NGYzNze3y7ltkpKSgoODDx8+bNvsAAAAAAAAAAAAAMCmMKMMAAAAAAiAmZ+D0WWtiVwuT0tLCw8P764HqVS6devWOXPmWCW/ToKCgjqvMTRjxgzbHJ0Q4uHh8fLLL69fv95608nYLBlHG9zO5s6d+/rrr7u7u3e5VyKRbNq0adasWTbOCgAAAAAAAAAAAABsDzPKAAAAAIClaJrWarVMTFFUd8UWCoXiL3/5y/Xr10+ePFlSUlJVVUUI8ff3HzVqVExMTHR0tIuLi81ypihq6dKlqamp7CORkZEKhcLynlNSUu7fv3/r1q2bN2/+/PPPd+/evX//fnt7u8FgUCgUQUFBo0aNio6ODg8PF4msXrZus2QcanC7NHr06L179549e/bMmTPnz59vamry8vIKCwubNm3a5MmTpVKpfdMDAAAAAAAAAAAAANugaJq2dw4AAAAA0Ldptdr4+HgmHjJkCLf6BADWrl1bVFS0fv36hIQEe+fiuFpaWtRqtZubm4eHh71zARtpbW1tb29nYpFINHDgQPvmAzaj1WqVSiVFUT4+PvbOBWxEp9M1Nzezm15eXhIJvrznLOrq6gghCoXC7mXTNqNvUjZ+mdfdXkru4vZ4kDWOW3rX8+Idh7iz1seO0qr//V/85sTlW5P+x6gBFT6fOMC0miA4pVKp1WplMll3c3lC/6NSqTQaDRNLJBIvLy/75gM2o1arW1paxGKxt7e3vXMBG9FoNCqVit0cOHCgDb4BCI7AYDA0NDQQxxj01tbWhx9+mBCyf//+kJAQC3tziJfOAAAAANCn3b9/n42Dg4PtlwgAAAAAAIA9ib08fZ96wvbHnRBEJlilAqfHXhBR2l9ig3coNWKBPbMBAAAAAOgKSr0AAAAAwFKFhYVsPHHiRDtmAgAAAAAAAAAAAAAAwAMzygAAAACARdra2j777DN281e/+pUdk7EStVq9YsUKJk5KSoqNjbVvPjbmPE//+vXrKSkpTJyamjp48GD75gMAAAAA/Y++Wam732DvLP6L1FdEKKrV4HJHN8Dy3mja8j4AAAAAAKwLhTIAAAAA/7FixQq1Ws19JDMz0/zVdjdt2nTlyhXuI2+++WZYWJhg+TkYtVpdWlr6zjvvtLW1MY/Exsb21xWp9Xo9ExgMBvtmYoR70ebk5FhppViHffqCY58pjT/wAwAAAIAVKE/+8+5f/2bvLP5LxP/6Etpw3mXqhssPWt6bRt/P3zIAAAAAQD+AQhkAAACA/9Dr9ezH5IxTp04tXrzYnJ9tamq6dOmSdfJyLDqdbsmSJZ0fVygUa9assX0+Tq7zRQsAAAAAAAAAAAAAAN2xyvdNAQAAAPqN7OxsMyeWOHnypJVzcWhjx45NS0uTy+X2TgQAAAAAAAAAAAAAAKBbmFEGAAAAoAsikYimaZqmlUplRUXF8OHD+dvTNJ2dnc3Erq6uWq3W+jna34ABA8LCwkaOHDl9+vTAwEB7pwMAAAAAAAAAAAAAAGACCmUAAAAAuiCXy6dOnZqXl0cI+eqrr1544QX+9jdu3FAqlYQQkUg0b968Q4cO2SJLO3FxcTly5Ii9s7ApqVTqbE8ZAAAAAACAoa6tLH13TdjqnQOCx9g7FwAAAAAAAWDpJQAAAICuzZs3jwlOnDhhcoaYr776ignmzJkzaNAg62YGAAAAAAAAYDM0Tes7iHmrEgMAAAAAOD4UygAAAAB0LTg42Nvbm4kLCwt5Wmo0mm+//ZaJ586da/XMAAAAAAAAAAAAAAAAoFew9BIAAABA1yiKio+P37NnDyEkOzt7ypQp3bVky2i8vb2HDRt2+fJl849C0/StW7cuXrx45cqVGzduNDQ0SCSSIUOGhIWFjRs37qGHHnJ1de1p5gaD4dq1axcuXLh69eqNGzfUarWHh0doaOivfvWrSZMm+fr6muxBr9cXFRWdOXOmuLi4sbHRy8trxIgRU6ZMmTRpUi/yEZY1zhghRK/XX7p0KT8//8qVK7W1tR0dHaNGjdqxY0ev89Tr9ZcvXz5//vyVK1du3brV0dHh4+MTGRn5q1/9asKECXY5jbW1tUVFRRcuXKisrKyrqxOJRH5+fiEhIWPGjImOjvb397f8EFYaHabnkpKSH3744eLFi/X19TKZbMSIERMmTJg+fbpcLjezE0e+sAEAAAAAAAAAAADANlAoAwAAANCtGTNmMIUy5eXl9fX1Pj4+XTbLyspigieeeIKiKDM7b21t/eabb7Kzs5VKJfdxrVZbVlZWVlb21VdfURS1fv362bNnm9ktTdMnTpz44IMP2tvbuY/X19fX19f/9NNP6enp48ePX7NmTUBAQHedXLt2bfv27SqVin2krq6urq4uPz/fzc1t48aNY8eOvX79ekpKCrM3NTV18ODBRp38+OOPf/3rX5l43759/KUMly5d2rx5MxNnZGT4+fl12UyoM3bv3r1169Yx8fbt2yMjI8vKyrZv327UrU6nY2O1Wr1ixQomTkpKio2N5Xk6NE0fO3YsMzNTo9FwH6+urq6urs7LyxOLxWvWrHnsscfMv1ospFKp3n777c4TI1VVVVVVVZ06dYoQMnLkyOeeey4sLKx3hxDweu48QDU1NZs3b66pqeF2W1BQUFBQkJqampycPGPGDJMZmnNh9+w5AwAAAAAAAAAAAEAfhKWXAAAAALqlUChGjx7NxN9//32Xberq6ioqKph4+vTp5neekpKSmZlpVFVghKbp3bt3b9u2zWAwmOywtbU1OTn5vffeM6qSMVJYWLhmzZru9p44ceLll1/mFhNwaTSarVu3MnUV+l/QXS1UT9M028Bk5iZ7Ywh1xoxyKywsfOmll/i75WbIPxZtbW0vv/xyWlqaUZWMUVdpaWmvvvqqmSfHQs3NzatXr+ZfPowQUlpampyczH/x8BDwejYaoPLy8rVr13KrZIwav/XWW7m5ufzpmX9hAwAAAAAAAAAAAED/hhllAAAAAPjEx8czSykdOHBgyZIlnWfC+Pbbb5kgMjJSoVD0tP9hw4YtXLhw5MiRPj4+MpmMEKLX6xsbGwsKCj766CO1Wk0IOXfu3L59+5566imeftrb25OSkurq6phNqVS6dOnSadOm+fj4SCQSmqZVKtWtW7e++eabkydPdtdJSUnJrl272M2ZM2fGx8cHBASIRCK1Wl1eXp6RkVFZWblz584lS5b09JkKRagzxigqKjp48CAhJDQ09JlnngkNDZXJZDRN19bW5ufn9zQ3jUazYcOGe/fuMZt+fn5PP/30Qw895OnpSVGURqMpKyvbs2dPZWUlIaSwsHDnzp3sxDzWs23btra2NiaOiYmJi4sLDAyUy+UURRkMhpaWFmZSmby8PMuPJezoEEJKSkqysrJomo6IiFi5cmVISAgzQHV1dVlZWWzOaWlpMTExXl5e3XXi+Bc2AAAAAAAAAAAAANgGCmUAAAAA+ERFRYnFYr1e39LScv369fDwcO5eg8HAlFkQQnr6Efu4ceM2btw4ZMgQo8clEomfn9/8+fMfffTRzZs3l5aWEkKysrIWLFjg7e3dXW87d+5kq2SioqI2btzIXe2IoiiFQhEZGRkZGfnss89++umnnXvQ6/U7duxgN1955ZWJEyeymzKZLDIy8t133921a9d3332Xk5PToycrCGHPGOPAgQOEkMWLF69atYqtgqIoKiAgoBc1E7t27WKrZObNm7d69WqxWMzulUqlDz300Lvvvpuamnr8+HFCyOnTp+fOnRsZGdnTA5nvzp075eXlTPzkk08uX76cu1csFisUCoVCMWbMmISEhCNHjvT6QNYYHULIZ599RghZuXIlt0yNoih/f//ExMSgoCBmcTRCSE5OzrPPPtu5B8e/sAEAAAAAAAAAAADAllAoAwAAAMBHIpHMmzfvyy+/JIQcPXr0xRdf5O69du0aM1eHWCyOiorqUc8JCQn8Ddzc3LZs2fL0008zi/gcO3ZsxYoVXbYsKSkpKChg4tDQ0K1bt3LrM4woFIrnn3++8+MnTpxobW1lc+MWE7BEItGGDRtu3rzJrjZlSwKeMa6oqChulUyvlZeX//jjj0w8ceLEtWvXdtmnSCRKTEwsKyu7efMmIeSdd9754IMPLD96d65fv87G/KU/Mpls2bJlvT6QlUaHEBIbGxsfH9/lrgULFhw6dOj+/fuEkLy8vISEhM5n0toXtlKp/O677/jbME+5o6ODmVMHusSstKXX63GWnEdHRwcb0zSNoXcezNBj0J2K0XKTWq2W+xsAnIFWq7XNqqN9gk6ns3cKXaPNWPC3pwwGA37bOw/mNscbHymvGUkAACAASURBVKfC/d2O+92pMP+X4SW9UzF6Aa/RaKz390xwKDRNM4EjDDr7O4fNyhIolAEAAAAw4bHHHmMKZU6ePLl+/XqpVMruYmfgmD9/Pk9tSq/J5fK4uDhmUg2ewoJ9+/axcUpKSu8y+fzzz5lAJpMtXLiwu2YURSUmJiYnJ/fiEDZg5hnjWrdunSAv8bnz9GzYsIGnT4qikpKSmHN4//7927dvDx061PIEulRfX88EUqnUxcXFSkcxUy9GhxDS5TwxDIqi4uLi0tPTCSFqtbqhocHHx8eojbUv7Lq6utdee42/zfDhwwkhWq22paWlp/07m46ODpwl50TTNIbeCWHQnRa7KCQ4j/b2dnun4ECYKmoHpLdCoQwzOavg3YIj0+l0DlsNBlbFLO5s7yzApjDozoz9Who4D0cYdPa9pCCFMiLLuwAAAADo34YMGeLn58fEZ8+eZR9va2vLz89n4jlz5ljp6NHR0UzQ2NjY5bc0VCrV5cuX2cYBAQG9OEp9fT1bUbH4/7N373FR1fnjxz9nZoAB5CaIdyVvoYZEXspbJZuUrm2mWbqbl2w3TVfbsuxipaltV3crb4mbbRc1RVLTMivLTH8aoEaoec8roiAgMMNcmDm/P853TxOXYRgGBpjX8w8f73PO53zOe85nwJnhPZ/PyJHOS226dOkSGhrqxlXqR7V3zFF0dHTbtm1rf9HS0tKMjAwlvu2220JCQpy379KlS2BgoBLv3bu39glURc3EZDI1hDczNRodpb3zm9m9e3c1zs/PL3e0KT2xAQAAAAAAAAAeQaEMAABANSRJGjNmjBKnpKSo+/ft26cE0dHR7dq1q6Orh4WFqfG1a9cqNlBW8FEMHTrUvas4dtKnTx/njSVJuv322927UD2o9o45Gjx4sEcu6ngDXelTkqS4uDglPnr0qEdyqFTXrl3V+NVXX/X6F7hrNDpCiL59+7reYWFhYbmjTemJDQAAAAAAAADwCJZeAgAAqN7AgQOXLVsmhDhz5kxubq4ywcz69euVo2PGjHF77R5Zls+fP3/o0KHDhw9fvHgxJyen3ETcdofpr4uKilq2bFmuh3PnzqlxTEyMe2lkZ2ercXR0dLXtlaVkvKL2d8yRp9Y8unDhghp36NDBlVPat2+flpYmhDh27JhHcqhUTExM27ZtL168KITIzMwcO3bsoEGDhg0b1rlz56CgII9fzrOjI4SodoYkf39/NbZYLOWONqInNgAAAAAAAACgflAoAwAAUL2QkJCbbrrpwIEDQogdO3aMHTv20qVL6t/gBw4c6F636enpK1asuHLliovtK9YBiN+XAjjOrlEjly5dUmNX6ieioqLcu1AteeSOOYqIiKh1UkIIcf78eTWeOXOmRqMR/1sqVZZlNRBC2O12JbDZbEr74uJiWZbdrrVyTpKkl156acaMGaWlpcqe3bt37969WwgRGRnZr1+/vn37du/ePTg4uPbX8vjoCCECAgJqk1I9PLFjYmK+//57520ef/xxIURgYGBkZGRN+/cdBoPBZDIFBAQ0a9bM27mgnhiNRvVXk0aj8dQvZDR8FouluLhYkqTmzZt7OxfUE6vVWlRUpG6GhYXpdHwm6SuUdTBDQ0P9/Py8nUtDURAcXOztHCpVFz+YOp2O18C+o7i42GKxBAYG1sW3MtAwlZSUqF+P0el0bn8qhUZHWeBbq9WGh4d7OxfUE7PZXFJSom5GREQon3+iybPb7QUFBaJhDLper1cCj2TCm1IAAACX3HvvvUqhzKZNm+6///6vvvpK2d+nTx/3/qybnJy8devW2ifmWG3g9qfPjp248iqzluUL7vHUHXPkqc+C1b/1CiFMJpNH+vSU6Ojo999/f9WqVeqTVnH16tVt27Zt27ZNCNGnT59Jkya5OBdOpepidGqvHp7YGo2m2jIjpQpKkqQ6KodqYrhLPouh9x3qWDPovqPcWPN/og9i0B351K1g6H0Tg+6zGHrfwUt6H8RLep/l+PPu9UH3bAIUygAAALjkhhtu8Pf3t1gsRqMxIyNjy5Ytyv57773Xjd527typVhVoNJoRI0b079+/TZs2wcHBOp3O8UVndnb21KlTnXTluPSM1WpVq6prxLETu92u1Wqdty+3nk498OAdqwsN/FvRQUFBf//73ydPnvzTTz/t2bMnLS2t3AhmZGRkZGSMGjVq4sSJbrzfaLCj0/Cf2AAAAAAAAACAetagP9AHAABoOLRa7YgRIz799FMhxKuvvlpWViaECAgI6NGjR027stlsK1asUOLQ0NDFixc7WW9CXaCnKm3atFHjoqKikJCQmuYjhGjZsqUaG43GaifLVWZQd5Gy0pAT1T5Gz96xuuB4A9euXeuRlYw8LigoaMCAAQMGDJBlubCw8PTp0z/88MP333+v3rFPP/20Q4cOiYmJNeq2IY9OnT6xAQAAAAAAAACNEYuHAQAAuCopKUkJlCoZIcTdd99d7RwVFWVnZxsMBiWeOXOmk6oCIcTly5ed9+a4XM7Zs2drmoyibdu2anzlypVq258+fdp5A8fbUm1tRF5envMGnr1jdeG6665T49zc3PpPoEYkSYqIiOjdu/c//vGPlJSUyZMnq4eSk5PtdnuNemvIo+PxJzYAAAAAAAAAoLGjUAYAAMBVbdq0ad26teOeoUOHutHPhQsX1Dg2NtZ54/379ztvEBMTo8bffPONG/mU6+TAgQPVtv/uu++cNwgNDVXj4uJi540PHTrkvIFn71hdcLyBXknAbTqdbuTIkWoRmNFozM/Pr1EPDXl0PP7EBgAAAAAAAAA0dhTKAAAA1MCYMWPUuG3btuXqZlxkNpvV2PmENGazefv27c57CwkJUasTMjIy3JuxIyoqSp0IZOPGjc7ngDl58uS1a9eq7VCNf/31VyctLRbLzp07nffm2TtWF8LCwrp3767E69evV+ccaiwGDBigxtUWNpXTkEfH409sAAAAAAAAAEBjR6EMAABADdxxxx2f/c/y5cvd68SxiOTcuXNOWq5atcqVkovx48er8aJFi2q6dI7igQceUAKj0fjll19W1UyW5WXLllXbW3R0tCRJSvzZZ585ablu3bpqE/b4HasLEyZMUILS0tKVK1d6JQe3Oc4i06xZsxqd28BHx7NPbAAAAAAAAABAY0ehDAAAQH3r2LGjGi9ZsqTS0gFZltetW7dt2zZXOoyLi+vTp48SHz16dOHChSaTqarGBoPhvffeq7g/KSkpKChIiVesWHHw4MFKs1q2bNnJkyerTUmr1Q4aNEhN6ccff6y02bfffpuSklJtbx6/Y3WhZ8+e6kPetm3bqlWrnM9fIoTIy8v76KOPDAZD3WW1fv36rKws55mUlpZ+9NFHSqzX6x0LX1zRwEfHs09sAAAAwAfpW8bc9OqOZtfFeTsRAAAAwDMolAEAAKhvISEhAwcOVOLz589Pnz49MzNTLW0xGo2ZmZmzZs1avXq1EOK+++5zpc8nn3xSXWImIyPjoYce2rJlS15enlIhIcuywWA4duzY0qVLx40bt3nz5oo96HS6Z599Vt2cO3fu8uXLc3JylOleLBbLL7/8MmvWLGXpnHvuuafalBznuXn55ZfXrl1bWFgoy7IQwmw2nzhxYt68eW+99ZZWq3Vc0KpSdXHH6sJjjz2mrsa1adOm8ePHf/755zk5ORaLRdlpt9sNBsPZs2e//PLLf/zjH5MnT05JSXFvBiAXnTp1as6cOQ888EBycnJmZmZ+fr7ValUO2Wy2goKCnTt3PvLIIwUFBcrOqVOnqlMBuaiBj47Hn9gAAAAAAAAAgEZN5+0EAAAAfNGMGTMyMzNLSkqEEJcuXXrhhRcqbTZ9+vT4+PgNGzZU22FQUNCSJUueeeaZ8+fPCyEMBsPKlStrugBQfHz8o48+qi4ptW3btkqnAJkxY0ZMTEyl1TaOWrVqNW7cuLVr1yqba9euVWNHr776qsViqXZeGY/fsboQEBDw9ttvL1iwICsrSwhRUlKyYsUKr2RSjsVi2bp169atW503u/POO4cMGeJG/w18dDz7xAYAAAAAAAAANGrMKAMAAOAFQUFBy5cv79atW1UN9Hr9vHnz7rzzTtf7DAkJWbx48eTJk3U6Z8XQ8fHxy5Ytq+rosGHDXnnlleDg4EqP6nS6OXPmDB061MWUxo4dO3Xq1KqORkVFLV269Prrr3elq7q4Y3VBr9cvXLjw+eefDwsLc95SkqSkpKTFixeHhITUT25OhISEPPXUU9OmTavpdDKKhj86nn1iAwAAAAAAAAAaL2aUAQAA8I6wsLA33njjxIkTO3fuPHTokDITTHR0dI8ePfr375+QkODn51fTPjUazciRI+++++7MzMyffvrpyJEjZ8+etVgszZs379y5c3x8/M033xwdHe28k549e3788cfp6en79u07ePBgYWFheHh4165dBw0adMstt+j1etfzkSRp+PDhgwcP3rVrV3p6+rFjx4xGY1RUVM+ePW+//fb4+HitVut6b3Vxx+qCJEn9+vX78MMPz507l56efuLEiePHjxcWFgohoqOj27dv37lz5169enXr1q0eEp49e3Zubu65c+fOnDnz66+/Xrp0KTc3t7S01G63h4WFdejQoUePHgkJCd26ddNoalVD3/BHx4NPbAAAAMBtmmbB/u3beDuL3wtuLoRdrw3u2Dyo9p1lulN7DwAAANQrSZZlb+cAAACARubEiROzZs1S4nfffbdNmwb2OS/QkEyZMmX//v3Tpk2bPHmyt3NpuEpKSkwmU0BAQEOYYwn1w2AwlJaWKrFGo2nevLl380G9sVgsRUVFkiRFRkZ6OxfUE6vVeu3aNXUzPDzc+QyIaEry8vKEEGFhYV4vm0a9CQ4ONhqNSvz8888vWLDAu/mg3hQVFVkslsDAwKrm8kTTU1xcbDablVin04WHh3s3H9Qbk8lUUlKi1WojIiK8nQvqidlsLi4uVjebN29eyy/dobGw2+35+fmiYQy6wWC47bbbhBDr16/v1KlTLXvjGQwAAAAAAAAAAAAAAACfQKEMAAAAAAAAAAAAAAAAfALTnAIAAABNxLhx40wmU03PatGiRXJycl3kAwAAgMblxH+3H35rg9un90zqos275LinrKxMCHFNq5UkyY0Owxf+wd7c7HY+jd2h/GZWu03dvGoOO3GtqKadhInI//eTOzffbRabrMbff336+eKtdXGVATdq7urwY+XHNFrN7S/WxUUBAADQZFAoAwAAADQRNpvNZrNV367CWXWRDAAAABodU25hwc+n3T69rHek9dSZSva73aHGYLNfczufxq7YWmZ2eK1+zeJ/wVBY4178gk7k2j2ZVnXs8m+FMsXXTOfPFNTFVQo7BImw85Uf0/BXDwAAAFSDl4wAAAAAfFRRUdHEiROV+KmnnhowYIB38wEAAAAAAAAA1DUKZQAAAIAmaOPGjVqt1ttZNALqhDqywzdfAQAAAAAAAABNlcbbCQAAAADwPEmSvJ0CAAAAAAAAAAANDoUyAAAAAAAAAACgcqYrZw/OubPkzCFvJwIAAAB4BksvAQAAoMa6du362WefeTsLAAAAAEDdk2XZViZYqxQAAABNBYUyAAAAAJyx2Wzp6elpaWk//fRTYWFhREREt27dBg4c2K9fP39/f29nJ4QQVqs1LS1tz549x44dKygoCA8Pj4+Pv/nmm/v27avVar2dHQAAAAAAAACgAaFQBgAAAECVsrKy/vnPfxoMBnVPbm5ubm7unj17AgICnnvuuYSEhBMnTsyePVs5umzZstatW6uNt23blpycrMTvvPNO+/btq72izWb7y1/+YjabhRCxsbGvvPKK49HLly9PnTpViefPnx8XF5eVlbVw4cLS0lK1TV5e3o4dO3bs2BEcHDxnzpwbbrih4lWmTZt26dIl2eFLsa+//rpGU8nStCkpKTod75sAAAAAAAAAoImo5INgAAAAABBCbNmyZc6cOY5VMo7MZvPcuXN37twphLD9j/z7+dhvu+029ZCLy3UdOHDAaDQqp4wZM6bcUVmW1Q6FEGlpaXPmzHGsknFkMBiee+65L774ouIhpQe73V5pz45cyRkAAAAAAAAA0FjwzUgAAAAAldi/f//KlSvVzWHDht1zzz0tW7bUaDRms/nUqVPvvffeyZMn//Wvf40ePbqqToKCgoYMGfLdd98JIbZv3/7www/r9Xrn1129erUSBAQExMfHO8/w008/FUK0a9duypQp3bp10+v1drs9JycnNTX1m2++UZq9++67rVu3TkhIcO1xAwAAAAAAAACaMgplAAAAAJRntVpfe+01dXPBggWONSt6vb5nz56LFi1auXLl1q1bU1NTnXQ1atQopVBGCLF79+477rjDSeOcnJzTp0+rJ2q1WieNlSqZwYMHP/HEE2pLrVbbtm3bmTNnDhgwYP78+crOV155ZfXq1X5+fuq5K1asEEIUFhZOmDBB2fPUU08NHjzYyeUAAAAAAAAAAE0AhTIAAABAEzRq1ChJklxpuWzZstatW5fbuX37dpPJpMTTp0+vdGYXSZL+9re//frrr4cPH3bSf8eOHdu2bXvx4kUhxNq1a//whz84Sezzzz9X46FDh1abfLt27WbNmqXRVLKkbJ8+fR555JHk5GQhhMlk+uKLL+65555ybRxPrLSTasmyXFZWVm0bN3oGAAAAAAAAANQFCmUAAACAJshut7vYstIyjpSUFCVo1qyZkzlgJEmaMmXKzJkznV/iwQcfVOanyc3N/fXXXzt16lRpM4vFsmXLFiWOjY2NioqqNvnp06c7KXAZNmzYxx9/bDQahRDr1q3705/+5GLxkOt+/fXX+++/33mbzp07CyGMRmNeXp5nr970mM1ms9ns7SzgBXa7nR8QXyPLMoPuswoLC72dAqpkMBhqc7q1zOrZj5vLyso8/OqtUSn3Qt1qraY+u1JWq1UIZ9M0NlJWq7WqQ/wX412lpaWlpaXezgJeUFZWxo+er7HZbAy6z8rPz/d2CqhvDWHQlY95RU0++nbCnS9NAgAAAGjC8vLyCgoKlPjee+91vv5RTExMZGSk8w779eundqKsl1SpH3/8UX2TM3bs2Grz1Ov1PXr0cNJAq9WOGjVKiUtKSnJycqrtEwAAAAAAAADQtDGjDAAAANAEbdy40XmBixNnzpxR44SEhGrbDx48eNOmTU4a+Pn53XvvvRs2bBBC7Nq1a9q0aUFBQRWbrVmzRgkCAgIqXeypnEGDBlU7Q8xNN9308ccfK/Hp06crLjIFAAAAAAAAAPApzCgDAAAANEG1WWPo4sWLatyiRYtq21e1lJKj4cOHq/HOnTsrNjh//rx63VGjRrlS5dO1a9dq27Rs2VKNL1y4UG17AAAAAAAAAEDTxowyAAAAAH7n8uXLalzp1C/lVLv0khAiKioqLi4uKytLCLF27dphw4aVK+XZvHmzGiclJbmSpytFPIGBgWp86dIlV7qtkaioqNmzZztv88UXXwgh/P39mzVr5vEEmgyz2Wy1Wv38/AICArydC+qJMuhKLElScHCwd/NBvbHZbKWlpQy6T1EGXd0MCgrSaPjyXgNVy/+ItRo3ZzSsikajkT3bY6NS7gWzVuvOD47b00w2cE4elyRJvPD2CpPJVFZW5u/v7+/v7+1cUE+UQVdijUbjygcIaBqsVqvZbGbQfUpZWZnJZFI3g4ODa/MlPTQisiwbDAbRMAZdTcAjmVAoAwAAAOB3LBaLGrvydywX/6AyduxYpVDm2rVrx44di42NVQ+ZTKavvvpKibt37+5K5Y0QwpWPXx0/QDebza50WyOhoaH333+/8zY7duwQQuh0Or1e7/EEmoyysjKr1arRaLhLvsNmszkWyjD0vsNisSg1Ewy677BarY6FMv7+/jodn0k2ULUcGo/XtWg0GptHO2zU3Ksw02g0Qtg9nozXOb8b/BfjFcobSa1Wy/33HVar1bFQhqH3KWazmfdxPsVsNjsWygQEBFD77iPsdrtSKNMQBt1m+783Bx4plOEZDAAAAOB3/Pz81Nhur/5TdcfCGiduuOGGkJAQJd6wYYPjod27d6vx2LFjXcrStes65s/3GgEAAAAAAAAAFMoAAAAA+J2WLVuqseP3v6ty9epVV7qVJGncuHFKnJaWVlRUpMSyLK9Zs0aJAwICevXq5WKeeXl51bYxGo1q3Lp1axd7BgAAAAAAAAA0VRTKAAAAAPidtm3bqnFubm617c+cOeNiz4mJiWqsLEgkhDh9+rRa8jJq1CjHxZKcO3nyZLVtHPNv166diz0DAAAAAAAAAJoqCmUAAAAA/E7Hjh3V+Keffqq2/a5du1zsOSgoaMiQIUq8fv16ZV2k1NRUtUFSUpLref7www+yLDtvc+DAATW+7rrrnLSstisAAAAAAAAAQBNAoQwAAACA32nRokVISIgSb9y4USlnqcr58+ddmXVGNWrUKCUwGAyHDx82GAy7d+9W9vTs2TMyMtL1rkpLS48dO+akgc1m+/TTT5U4ODi4TZs25RpoNL+9ISorK3P90gAAAAAAAACARopCGQAAAAC/I0nSmDFjlLioqOj777+vqqUsy8nJyTXqvGPHjmrByieffPLdd9+phx544IGaprp06VIndTzffPNNSUmJEo8ZM0aSpHIN9Hq9Gteo3AcAAAAAAAAA0EhRKAMAAACgvOHDh/v7+yvxv//9719++aViG1mWP/zww8zMzJp2/uCDDypBVlbWe++9p8R6vT4uLq6mXZ09e3bx4sWV1spkZmYuXbpUiQMCAkaMGFGxjU6nCw4OVuL09PSaXh0AAAAAAAAA0OhQKAMAAACgPH9//1mzZqmbTz/99KpVq65cuaKUpFgsluPHjz/33HOpqalCiHvuuadGnd98881arVaJbTabEowaNUrd6aK7775bCLFjx44nnnji8OHDFotFCGG3269cuZKcnPzCCy+oLWfPnq3W/ZSTmJioBEePHt2yZUtxcbEsyzVKAwAAAGja9C1jbnp1R7PralzXDgAAADRMOm8nAAAAAMDzRo0aVXGloaq8++67LVu2LLezf//+EyZM+PDDD5XNTZs2bdq0qeK5M2bM6Nix4+bNm5VNVy7q5+d37733btiwwXFnUlKSi9mqbrnllu7du7/++uunT59+9tlnq2r28MMP9+3bt6qjI0eO3LJlixKvXLly5cqVQgiNRqM+kJSUFJ2O900AAAAAAAAA0EQwowwAAADQBNntdpvLqppD5b777ps7d65er6/0qFarfe6554YOHeq48pGLNSXDhw933OzZs2fz5s1dfnC/GTRo0Lx586qaLSYwMHDBggXOJ7xp0aLF008/Xa6+x/HuuZEVAAAAAAAAAKDB4puRAAAAAKrUu3fvNWvW7Nu3Ly0tLTMzs7CwMDw8vGvXrgMHDuzfv79SQ3Pt2jW1fXBwsCvdRkVFxcbGHj16VNkcO3as2xnedNNNq1ev/vHHH/fs2XP06NHCwsLQ0NCEhISbb775lltucWU5p4EDB37yySf79u1LT08/c+ZMTk5OWVmZ2/kAAAAAAAAAABoyCmUAAACAJmL9+vV10a1Opxs0aNCgQYOqanDhwgU1DgwMdKVPWZazs7OVWK/X33DDDbXJMCAg4NZbb7311lvd7iEwMHDIkCFDhgypTRoAAACNXee/3NHq1l5un64P0um0v5uqsLCwUAjRrFkz99ay1AQ30+h99xPsQa00jnfTVCYltatxJzar5t4O1deOe1DflzSm/8UDE697/LFhdXGVsKAyTXBCFQddXYIWAAAAPst332YAAAAA8IgffvhBCWJiYsqtYVSVY8eOFRUVKfHo0aNdmfcFAAAAdS2oTWRQm0gPdmjIyxNC6MPC/Pz8PNitj4gI+P12QOXNGhqNwxuCiOaBnbtFeS8XAAAAoHIabycAAAAAoBHLy8s7ffq0Eg8dOtTFs7Zs2aLGrp8FAAAAAAAAAEAtMaMMAAAAPOPKlSsHDx48cuTIqVOnrly5Yrfbw8LC2rdvHxMT06NHj+uvvz4sLMzbOdaTy5cvT506VYnnz58fFxfn3Xw8wmQy7du3b+/evadPn7569aos/9808I6rJvXt29eVrq5du6ZOQiOEePjhh4UQM2bMSExM9GjKAAA0XPk/nczecdDbWdQTm81mMqkrsYjAwECNxhe/vBfVvpmfbKm2mX54R6H35v3Jyg8otto91ZvBYBBC6A16ZhD0HXb5twWjTp+4um3zES8mg5qSwvV5gW7+2chkMtlsNj8/P39/f89m5REBflJ8p5J6vmi7ovxAU4nQ+UvXsc4vAAANC4UyAAAAqK3Tp08vWbLk5MmT5fbn5ubm5uYeOHDg008/FUJ06NDhT3/606BBg4KCgryRZv2RZdlms3k7i98cOHBgwYIF6uZTTz01YMCAas+SZXnVqlX3339/SEhIWlraq6++WlZWVrFZZmamEvTv379Vq1au5LNmzRrHTeVe2e0e+3sMAAAN35W9R9KfetfbWaBe3fJQH/nksWqbRQ0bY7PW959yHX13qe2Z4iIvJoDGrkz+7YX9kczLn5j2ezEZ1FTHfm0/b6JVbS1DAyaHnanniza/nK3P+UUEhFIoAwBAQ0OhDAAAANwny/Inn3yydu1aVxqfO3duyZIlq1ev/uCDD+o6MThKTU11LNxZv369K4UyQojNmzdv3ry5X79+aWlpzltqtVp1Eh0njEbjtm3btm3bpmx27979l19+cSUTAAAAAAAAAAA8gkIZAAAAuG/r1q2OVTJxcXGjR4/u3Llzs2bNNBqN3W4vKio6d+7czp07d+zY4cU8a6moqGjixIlK7OJ0LA3HtWvXsrKyHPecPn06Ly8vKirKxR6qrZLR6XSvv/56REREVQ3+/e9/f/fdd+V2ajSaxx57zJXyGgAAAAAAAAAAPIVCGQAAALjp8uXLK1euVDfnzZt346uKrAAAIABJREFU0003OTbQarURERERERHx8fFTpkzZsmXL6tWr6z1Nz1BnZJFl2buZ1NSuXbsq7tyxY8cDDzzgkf4TEhKefPLJkJCQGp0lSdKCBQuaN2/ukRwAAAAAAAAAAHARhTIAAABwU0pKihr//e9/L1clU45erx8zZswf//jH9evX131q+D+yLKs3vHv37nq9/uDBg0KIjRs3jhkzRqPRODlXkqR169Z9//33y5YtU/YEBwcbDAadThcVFRUbGxsbG9u/f38nE8lUpNFo2rdvP2DAgOHDh4eFhQkhPvvsMzcfGwAAAIB6UXDmYurkZ0e8NadVr+u9nQsAAADgARTKAAAAwB2yLH/zzTdKrNFo/vCHP7hyVlBQ0KRJk+owLfzer7/+eu3aNSUePXq0TqdTCmWMRuPx48djY2Odnx4YGOg4VUxycnJNZ45RPP74448//rgbJ1bUqlUramsAAACAeiXL9jKbt5MAAAAAPIZCGQAAALijqKjIbrcrcffu3bVarXfzQaW2bt2qxjfeeKNGo9FoNMrAbd68udpCGSGExWJRY0YZAAAAAAAAANDYUSgDAAAAd5SWlqpxaGiox/vPzc3ds2fPL7/8cvToUYPBoNfru3Xr1qNHjwEDBrRp08bjl6sHsiwfOnRo165dP//889WrVwMDA6+//vq+ffsOHjw4KCioLq5osVjUWX8SExP9/f2FEHfeeee2bduEEHv27DEajXV0aZXNZsvKytqzZ8+RI0euXLlSVlbWo0ePl19+2b3e7Hb7sWPHfvrpp6NHj546dcpkMoWEhHTp0uXGG2+8+eabo6KinJ8uy/K5c+d+/vnnI0eOnDp1Kj8/X6fTtWvXrmvXrr179+7Vq5dyiwAAAAAAAAAATRiFMgAAAHCHTvfbK8kzZ854sOdr1669/vrrWVlZjjstFktGRkZGRsaHH37YqVOn5557Ljo62kknP/zww7/+9S8lXr16tfNykKysrBdffFGJk5OTW7RooR6aNm3apUuXZFlW97z++usajaZiJykpKY73pJycnJwXX3wxJyfH8RGlpaWlpaUtW7Zs1qxZt956q5MM3ZOenq7Gw4cPV4K77rpLKZQRQuzbty8xMbHiiXa7ffTo0Upss/02xfqf//xnSZIcW65atSoiIkKJL1++PHXqVCWeP39+XFzc8ePH58+fX1RU5HiK1WpVY5PJNG7cOCWeMWNGpckolKW+/vOf/zhWaAkhrl69evXq1R9//HHFihV9+vR55JFHWrVqVfF0g8Hw9ddfb9iwoVwyFovl+PHjx48f//zzzyVJmjZtWlJSUrnHCAAAAAAAAABoSir5iB8AAACoVlhYmBpfunQpNzfXI91mZWVNmjSpXJVMOadPn/7rX/+6Z88eJ21kWbb9jyvXVRs71sSo+9VFpsr17MhJ5ydPnpwyZYpjlUy5VN988021eMWDUlJSlCAoKKhr165KHBMTo84AtH79+qrOrfRx2e12J4+63D3PyMh48sknyxWmOLmQ400ux2AwzJo1a/HixeWqZMrJyMh45JFHKj00e/bsVatWOU9GluWlS5e+9NJLTjIBAAAAAAAAADR2zCgDAAAAd/j5+cXGxh49elTZXLBgwSuvvBIcHFybPs+cOTNnzhx1Mz4+fsKECR07dvTz8ysrK7t48eLq1at//PFH5ehrr722YMGC+Pj42lyxHhw6dCglJUWW5djY2AkTJnTq1CkwMFCW5by8vJSUlO3btyvNli9f3r9///DwcE9dNy8v7/Tp00p8zz33qLOkSJI0atSo//73v0KI7OzsS5cutW7d2lMXVe3fv3/jxo1CiC5dukyaNKlLly7Ko75y5YrzCqeKSktLZ8yYkZeXp2zq9fr7779/0KBBkZGROp1OluXi4uJz5859/fXXO3fudN5Vx44d77777u7du0dGRgYGBgohbDZbQUFBWlraBx98YDKZhBAHDhxYvXr1+PHj3XjUAAAAAAAAAICGj0IZAAAAuOnPf/6zumLRmTNnHnzwwVGjRiUmJrZp08aNxWtsNttLL72kbj700EP33nuvuunn5xcTEzNnzpyvvvpqyZIlys6XX375448/9vf3r93jcGbFihVCiMLCwgkTJih7nnrqqcGDB7vew9q1a4UQEyZMGD16tGO1SnR09PTp0zt06LBy5UplZ2pq6sMPP+ypzHfs2KHGQ4YMcTx02223KYUyQojt27dPmjSp3Lkajeazzz5T4m+//fatt95S4tWrV4eEhLhy9U8//VQIMXLkyIceesjxUbdq1Upd1MlFixYtUqtk4uPjn332WceFtCRJCgsLi4uLi4uLe/jhh9esWVNpJ71793722WfbtWtXbr9Op2vRosUf//jHO+6448UXX/zll1+EECkpKSNGjFCXlAIAAAAAAAAANCUUygAAAMBNN954Y//+/ffu3ats2my2lJSUlJQUrVbbu3fvuLi4bt26tWvXzsXSim+//fbq1atKfOeddzpWyThKSkq6fPmysqiQyWRKTU0dN26cJx6NMxqNptLYRYmJiffdd1+lh0aMGLFp0yZl4art27dPnjzZjRqjiux2u1KqIoRo06ZNq1atHI9GRkZ26tRJmW9m69at48eP12q1VXXlmI+TZhXFx8c7Vsm459ChQ2lpaUrcpUuXefPmOckhLCzs0UcfrfTQ5MmTnV8oICBg7ty5EydONJvNQogvv/zSxefVlStX1EKiqhgMBiGE2WwuLi52pU/fVFZWpvzLXfIdyqArlNmhvJgM6pO6wp2PD7oykxl8is1mc+V1pF328iqQdhvLUAK+y2aziZq872tEZG+ssau87GnCr3UdX9LbbLam+jBRkbLott1uZ9B9R7mVyktKSjzyGSYaPlmWlaAhDLrRaFQCuyf+W6dQBgAAAO6bPXt2cnLytm3bHHfabLa0tDS1viEqKiopKSkxMTE6OtpJV5988okaP/TQQ05aPvDAAxs3blQ+jklNTX3ggQfcKF6pT07miVEWQlLmrTGZTPn5+ZGRkbW/4rFjx0pLS5W40hqd0aNHv/HGG0IIi8Vy6NChuljBaurUqbV/77R69Wo1nj17do0qdWoqKCho1KhRygxArhfKlJSUfPXVV87bdO7cWQhhs9mUKhw4YbPZlI/b4GtkWeYHxNcw6I5/WIKPUD9i9kizumP3dgIAvMhub7K/Abzyu035le4jL3t85GHCEYPuyywWi7dTQH1rCIPu2d85DfovCgAAAGjgtFrto48++s477yQkJFTVJi8vb82aNX/961/nz59fVFRUVRtlVhUhRGJiouPaOhX5+/v/6U9/UmKLxXLmzBk3s68XCQkJzufU6d69uxrn5+d75KLqwklCiFtuuaVig759+6qxOveMB0VHR7dt27aWnRQXFx8+fFiJExISys2LUxfUp3FBQQFf9AcAAAAAAACAJolCGQAAANRWTEzMSy+99NFHHz355JP9+vWratqPjIyMCRMmHDlypOKhc+fOqfGgQYOqvaJj8cfJkydrnnL9cSxJqVRYWJgaFxYW1v6KRqNxz549SpyQkNCsWbOKbfR6/cCBA5X44MGDHp8pd/DgwbXvxLEEaujQobXvsFqOY3Ht2rV6uCIAAAAAAAAAoJ6x9BIAAAA8Iyws7NZbb7311luV5bezs7MPHz78zTffXLx4UW1jt9ufeeaZlStXtmzZ0vFcxzZt2rSp9lqOk4ucPXvWE+nXlWrnQfH391djj8xguW/fPjW+5557qmo2YsQItZ7mhx9+GD58eO0vrWrfvn3tO3Esn4qJial9h7Isnz9//tChQ4cPH7548WJOTk656TodV7ctKioq9yytVEBAQI8ePZy3URbX0Gg0Oh3vv6pkt9vtdrskSXW6wBYaFGXQ1U1+QHyHLMvKIms+Puj8ukNVJCF5d+GTWi+eCaARq/36uQ2XNx6Zcj8lSWqqL3scX9Lzbs6nqEPfVJ/bqEh9H6fQarVN+b8M/J7y2WZD+Hn3bA7efzwAAABoYiRJCg0NDQ0NjY2NHT16dE5OzrvvvnvgwAG1wSuvvPLWW285nnLp0iU1Dg0NrfYSwcHBauxYZNMABQQE1PMV161bpwQajaZXr15VNYuNjfX391dKczZs2DBs2DAPvr+NiIiofSfZ2dlq7DjXi3vS09NXrFhx5coVF9u7WLTUtm3bDz/80HmbKVOmCCH0en14eLiLV/dBJSUlJpPJ39/f+VJlaEoMBkNpaakSazQafkB8h8ViKSoqkiTJxwc9MDDQ2ymgvul0OlcqYDQaja36VnWIP3MCvkyna7K/ATQaLyywoFy0Cb/sKS4uVr9/otVqm+rDREUmk6mkpIRB9ylms9lxRuqwsDCv/F5F/bPb7fn5+UKI0NBQrw+6n5+fEngkE57BAAAAqFutWrWaN2/e6NGj1T2nT592rIEQQlitVjV2pTDc8aVwuUlBfNzFixfVqqM777zTyc3UarUjRoxQ4ry8PMfpW2rPI9X9jqUq6rsg9yQnJy9YsMD1KhkAAAAAAAAAQFPFjDIAAACoD+PHj//2228LCgqUzSNHjjguseRYBuE4jWdVHFfrqP8pWxqyr7/+Wo23bdv21VdfOWnseBu/+OKLRx99tA4zqznHRamsVqter3evn507d27dulWJNRrNiBEj+vfv36ZNm+DgYJ1OJ0mSOpVOdnb21KlTa5k2AAAAAAAAAKAhY0YZAAAA1AeNRjN8+HB189dff3U82rJlSzV2nMazKgaDQY0dC24qJcvVTHLvSmlOo2Cz2T777LNye5xwvDPbt293nNenIXAc2aKiIvc6sdlsK1asUOLQ0ND333//r3/9a8+ePSMiIvz9/TUajeOCU03mmQAAAAAAAAAAqAqFMgAAAKgn7dq1U+PS0tKqDpVblalSly9fVuOOHTtWbKDV/rawerXVD3l5edVesVHIysoqKytz71y73X7w4EHP5lNLHTp0UOOzZ8+610l2drZaVjVz5syIiAgnjR2fVwAAAAAAAACAJomllwAAAFBPSkpK1DgsLMzxkGNJxN69e2+66SbnXaWlpalx586dKzYIDQ1V4+LiYsfNig4dOuT8co6qnZ/Gi1JTU9X4k08+CQoKqvYUm8123333KbVEGzZs6NevXx3mV0MxMTFq/M033wwYMMCNTi5cuKDGsbGxzhvv37/fjUsAAAAAAAAAABoRZpQBAABAPUlPT1fjbt26OR5q0aJFVFSUEn/11Vcmk8lJP1arVV1gyN/fv1OnThXbqL2JCss8lWOxWHbu3Ok8c43mt5fNbk/ZUteKiooyMzOVuE+fPq5UyQghtFptUlKSEh89erSgoKCu8qu5kJAQtbQlIyPDvelezGazGjvOM1Rpy+3bt7txCQAAAAAAAABAI0KhDAAAANxhNBo3bdpktVpdbJ+dne04DUzFuT0eeOABJZBlec2aNU662rhxo1r9cM899zhWsaiio6MlSVJitaqmUuvWrbPb7c6T1+v1apybm+u8sbf88MMPajx8+HDXT7zjjjvU+LvvvvNkTrU2fvx4NV60aFG1I1WRY8nUuXPnnLRctWpVg62CAgAAAAAAAAB4CoUyAAAAcNOqVavGjRuXmppqNBqdt8zJyZk9e7a62b9//4iIiHJt7rjjDnXnpk2bqprbY9euXR9//LESBwQEjBkzptJmWq120KBBSnz06NEff/yx0mbffvttSkqK8+SFEDqdLjg4WIkd58VpOGRZXr9+vbrZq1cv18/t3LlzQECAEqempjaotaXi4uL69OmjxEePHl24cKGT2YYMBsN7771XbmfHjh3VeMmSJZWWwsiyvG7dum3btnkiZQAAAKCpibiu3SO7Vrfqdb23EwEAAAA8g0IZAAAAuM9isXzwwQdjx45duHDh7t27L168qNYxyLJsNBqPHj361ltvPfLII0VFRcr+kJCQxx57rGJXWq32hRdeUDeXLl368ssvnz17VqlssNlsFy5cWLRo0Ztvvqm2eeaZZxzneinHcTKSl19+ee3atYWFhUoViNlsPnHixLx589566y2tVltVtY2jxMREJTh69OiWLVuKi4sbVEHJ2bNn1VWTBg4c6O/v7/q5Go3mzjvvVOLi4uKTJ096Pr9aePLJJ9UKqoyMjIceemjLli15eXk2m00IIcuywWA4duzY0qVLx40bt3nz5nKnh4SEDBw4UInPnz8/ffr0zMxM9VlqNBozMzNnzZq1evVqIcR9991XT48KAAAAAAAAAOAlOm8nAAAAgKYgLS3NcWWlqkRERLz55ptBQUGVHu3SpctLL7300ksvKSvs/Pjjj1XNBCOEeOKJJ3r37u3kWq1atRo3btzatWuVzbVr16qxo1dffdVisVQ7r8zIkSO3bNmixCtXrly5cqUQQqPRqAs8paSk6HRee3X9+eefq/Fdd91V09MTExPVBaq2bNnyxBNPeCyzWgsKClqyZMkzzzxz/vx5IYTBYFDvv4tmzJiRmZlZUlIihLh06ZJjPZaj6dOnx8fHb9iwwSNpAwAAAAAAAAAaJmaUAQAAgDuCgoJWrVo1efLktm3butI+MDDwb3/723/+858WLVo4aZaQkPD+++/HxsY6adOhQ4fk5OTbb7+92ouOHTt26tSpVR2NiopaunTp9de7NH94ixYtnn76abUsRmG3223/40ondcRisXz11VdKLElSjx49atrDddddFxgYqMQ7d+50sryRV4SEhCxevHjy5MnOS5Hi4+OXLVtWcX9QUNDy5cu7detW1Yl6vX7evHnqtDoAAAAAAAAAgCaMGWUAAADgpqioqJEjR44cObK4uPjEiRPHjh07c+bMhQsXLl++bLVa9Xp969at27Vr16VLl/j4+A4dOmi1Wle6jYiIeP31169cubJ79+4jR4788ssvJSUlQUFB119/fY8ePQYMGNCuXTsXM5Qkafjw4YMHD961a1d6evqxY8eMRmNUVFTPnj1vv/32+Ph4F1NSDBw48JNPPtm3b196evqZM2dycnKUZaG87sCBA+o6ULfffrufn19Ne1BuVGpqqrKZnp4+ePBgT6ZYaxqNZuTIkXfffXdmZuZPP/105MiRs2fPWiyW5s2bd+7cOT4+/uabb46Ojq7q9LCwsDfeeOPEiRM7d+48dOiQMjlNdHR0jx49+vfvn5CQ4MZNAwCgNsJ7xsROu8fbWdQTu91usVjUTX9/f43GF7+816x7pO6GTtU208sxss6bS3wmRDaLaWb1VG9KBbbPDrpv+kCS1LdJHTs3/8Mwl76ZgAbCr1WzoMAavE12ZLFY7Ha7VqttmG+vmuk1nUNrsEixR+jt4VJQa6Grcs1oAADgLZL6kToAAAAAwOOmTJmyf//+adOmTZ482du5NFwlJSUmkykgICAkJMTbuaCeGAyG0tJSJdZoNM2bN/duPqg3FoulqKhIkqTIyEhv54J6YrVar127pm6Gh4d7ccFK1LO8vDwhRFhYWMP8wznqQnBwsNFoVOLnn39+wYIF3s0H9aaoqMhisQQGBgYHB3s7F9ST4uJis9msxDqdLjw83Lv5oN6YTKaSkhKtVhsREeHtXFBPzGZzcXGxutm8eXPKoH2E3W7Pz88XDWPQDQbDbbfdJoRYv359p07VfwnBOZ7BAAAAAAAAAAAAAAAA8Al8ewMAAABoBC5fvjx16lQlnj9/flxcnHfzcZvJZBo3bpwSz5gxIzEx0bv5AAAA+DJzfpGuLr9KKReVCCFssqRxZUaZIK1R4vPqJsViLisuMtXolGB/q0aqo3SECGgmRN31DgAAgEaDNx4AAACAx2RmZs6bN0+JH3zwwdGjR7t4Ympq6scff6zEL7zwwk033VSugSzLNpvNQ2l6mfpA7Ha7dzMBAADwcWkPvxKZ/0tdXyXXtWbBa8f/85S5blNB3bPYf3vb8tWW4znHU2p0+r8fPBSudfEpU2OaPy0X2oA66hwAAACNCIUyAAAAgCepVSCyLLt+VlOqgwEAAAAAAAAAoMGqy4k1AQAAAAAAAAAAAAAAgAaDQhkAAAAAAAAAAAAAAAD4BJZeAgAAAFB/9Hr9Z5995u0sAAAAALiq4MzF1MnPjnhrTqte13s7FwAAAMADmFEGAAAAAAAAAABUQZbtZTZvJwEAAAB4DIUyAAAAAAAAAAAAAAAA8AksvQQAAAD4OpvNlpWVtWfPniNHjly5cqWsrKxHjx4vv/xyxZayLJ87d+7nn38+cuTIqVOn8vPzdTpdu3btunbt2rt37169evn7+9dRkrIsHzp0aNeuXT///PPVq1cDAwOvv/76vn37Dh48OCgoyPV+bDbb4cOHDx48eOTIkXPnzpWVlUVGRsbFxd144419+/atu/wBAAAAAAAAAA0BhTIAAABAk1JQUPD000/n5uYqmzNmzEhMTFSPXr58eerUqUo8f/78uLi448ePz58/v6ioyLETq9VarluDwfD1119v2LChXEuLxXL8+PHjx49//vnnkiRNmzYtKSlJkqSq0jOZTOPGjas0NydJ5uTkvPjiizk5OY7XTUtLS0tLW7Zs2axZs2699Vand0UIIWRZ/vLLL1etWmU2mx33Z2dnZ2dnb9++XavVPvLII3fddZeT/AEAAAAAAAAAjRqFMgAAAEDTcebMmdmzZ5tMJiGERqNZsGBBXFycYwNZlm02m7qZkZExf/58V3qePXv2+fPnnbeRZXnp0qV79+598cUXNZoql3lVE7Db7VX145jkyZMnZ82aJctyVY3ffPNNg8EwbNgwJ7kZjcYXX3zx+PHjTtrYbLbly5enp6fPmTNHq9U6aQkAAAAAAAAAaKQolAEAAACaiLS0tIULFypxcHDwm2++2bZtWyft9+/fv3HjRiFEly5dJk2a1KVLl8DAQFmWr1y5smfPnkpP6dix49133929e/fIyMjAwEAhhM1mKygoSEtL++CDD5QCnQMHDqxevXr8+PEeeVCHDh1KSUmRZTk2NnbChAmdOnVSkszLy0tJSdm+fbvSbPny5f379w8PD6+0E7PZ/Nhjj12+fFnZbNGixcSJE3v16hUaGipJktlsPn78+MqVK8+ePSuEyMjIWLRo0ezZsz2SPwAAAAAAAACgQanyW54AAAAAGpGNGzeqVTJt2rRJTk52XiUjhPj0009lWR45cuSiRYt69eoVFBQkSZJGo2nVqtXo0aPLNe7du/eyZcsWL16clJTUvn17pbEkSTqdrkWLFn/84x8/+uij7t27K41TUlIKCgo88rjWrl1bVlY2YcKE11577YYbblCTjI6Onj59+t/+9je1ZWpqalWdvPPOO2qVzPDhw5OTk2+99dbw8HCNRiNJkl6v79Wr19tvv52UlKS02b17d1ZWlkfyBwAAAAAAAAA0KMwoAwAAADRudrt9+fLl6twqcXFxc+fO9ff3d+Xc+Pj4hx56SJKkaltOnjzZeYOAgIC5c+dOnDjRbDYLIb788stx48a5kkO1EhMT77vvvkoPjRgxYtOmTbm5uUKI7du3T548ueJjOXny5A8//KDE/fr1mzJlSqWPV6PRTJ8+/fjx42fOnBFCvPXWW//5z3+qvTNGo/HgwYPO21itViGEzWazWCzOW/oyZbEtu93OXfIdjiusybLM0PuOsrIyJWDQfYfjz7sQwmq1VrX8IupfgxoLu9yAkoG3yKLyFVc9wmKxCG31733gHuX3CW98fIrjfyK8pPcpykt6Bt2nqO/jFFar1ZWPE9EEyPL/vTZrCIOu/s5Rs6oNCmUAAACARsxisSxYsCAzM1PZTEpKmjZtmkbj6syRU6dO9eA7nKCgoFGjRq1du1Z4tFDm4YcfruqQJEmjRo1asWKFEMJkMuXn50dGRpZrs2bNGjV+7LHHnDxeSZJmzJgxa9YsIURubu6FCxfat2/vPLecnJzHHnvMeZvOnTsLIcxmc1FRkfOWsFqtSl0RfI0sy/yA+BoG3ZcZDAZvp4DflPubh3fZymzVN0JT55E/e1SluLhY1pjrrn8IISwWC3849002m41Xd77Gbrcz6D6ruLjY2ymgvjWEQTcajUrgkVeMLL0EAAAANFbFxcUzZ85Uq2QmTpz497//3fUqmejo6GqXZ6qphIQEJSgoKDCZTB7pMCQkxEkDdb0nIUR+fn65o6WlpRkZGUp82223Oe9KCNGlS5fAwEAl3rt3b43TBQAAAAAAAAA0bBTKAAAAAI3SxYsXH3nkkezsbGVzzpw5o0ePrlEPgwcP9nhWYWFhanzt2rXad9i3b1/Xr1hYWFjuqLKOksKVxytJUlxcnBIfPXrUxSQBAAAAAAAAAI0FSy8BAAAAjU9mZuaLL76oTDIZEBDw2muvderUqaadVLuuUEWyLJ8/f/7QoUOHDx++ePFiTk6O2fy7qcsdVygvKipq2bJlTS9RTqtWrZw38Pf3V+OKU3xfuHBBjTt06ODKFdu3b5+WliaEOHbsmKtZAgAAAAAAAAAaCQplAAAAgEbmgw8+OH78uBJHRka++eabkZGRbvQTERFRo/bp6ekrVqy4cuWKi+09sjJ9QEBAbU4/f/68Gs+cOVNZl0opMJJlWQ2EEHa7XQlsNpvSvri4WJZlSZKc9N+uXbsNGzY4z2HhwoVCCL1eX9Mb7lOMRqPZbPb39w8ODvZ2LqgnpaWl6gJtGo3GcXYoNG1Wq7WkpESSpPDwcG/ngnpSVlbmuJ59aGioVqv1Yj5w5Ofn5+0UfqPz0wnhgReQaNQ0Uh3Ogh8eHi60tXp/ASdKSkqsVqter1dXs0WTZzAY1Df+Wq02NDTUu/mg3pjNZqPRyKD7FIvFYjAY1M2wsDDXF39Ho2a325VZwxvCoKtfmHT+ga2LKJQBAAAA6oRab+HxxmqVjBDiL3/5i3tVMkIIna4GbweSk5O3bt3q3oW8qLS0VI3VP8l7kL+/f0xMjPM2yt8CNRoNfxR0Qnl/K0kSd8l3lPtQg6H3Hep/eQy673CccE7wf2KNaPJzAAAgAElEQVQD45GPmD1FEg0oGTRJWq1W8PunzvCS3gc5/ifC0PsU9Y/lDLrvKFchodVqvV4zgfqh/qpvCIOu/s6hUAYAAABoWBxLTxy/ZlEtx8bVfq/3jjvu+O6775Q/NL7zzjtBQUEDBgyoYaY1s3PnTrVKRqPRjBgxon///m3atAkODtbpdJIkqW9OsrOzp06dWqfJ1EiNioEAAAAAAAAAAE0enxoDAAAAHuO4dMilS5dcPzE7O1uNq12KYsiQIaNHj3788ceVKVJeffXVGTNmDB06tIbJuspms61YsUKJQ0NDFy9e7GQJoRpNjVMPWrZsqcZr165lWR8AAAAAAAAA8HHMiQQAAAB4TPPmzdX45MmTrp944sSJSjupStu2bZctW9asWTNlc/HixZs2bXL9cjWSnZ2tTngzc+ZMJ1UyQojLly/XURruue6669Q4NzfXi5kAAAAAAAAAABoCCmUAAAAAjwkMDAwKClLiq1evlpSUuHJWcXFxQUGBEuv1erUH56KiopYtW6aWraxatWr16tU1T7l6Fy5cUOPY2Fjnjffv318XObgtJiZGjRtabgAAAAAAAACA+kehDAAAAOAxkiQNHz5c3dy7d68rZ+3Zs0eNhw8fLkmSi5cLDw9ftmxZ69atlc1169YlJyfLsuxyvi4xm81qrNVqnbfcvn27Z69eS2FhYd27d1fi9evXl5WVeTcfAAAAAAAAAIB3USgDAAAAeNIf/vAHNX7//fctFovz9maz+b///W+lp7siODj47bff7tixo7K5devWt99+27O1MlFRUWp87tw5Jy1XrVrVACtRJkyYoASlpaUrV670bjIAAAAAAAAAAO+iUAYAAADwpLZt26rFLiUlJXPnzjUajVU1NhqNL7zwgtpgyJAh7du3r+kV9Xr9okWL1EWRvv3221dffdVms9U898qpVThCiCVLllRaCiPL8rp167Zt2+api3pQz549Bw0apMTbtm1btWpVtTcnLy/vo48+MhgMdZ8dAAAA0NBFXNfukV2rW/W63tuJAAAAAJ5BoQwAAADgYVOmTImIiFDiw4cPT5o0aePGjTk5OVarVdlptVovX768cePGSZMmHT16VNkZFhY2depU967o7+//yiuvJCQkKJt79+6dN2+epyZ3CQkJGThwoBKfP39++vTpmZmZJpNJ2WM0GjMzM2fNmrV69WohxH333eeRi3rWY489pi5QtWnTpvHjx3/++ec5OTnqfD92u91gMJw9e/bLL7/8xz/+MXny5JSUFLvd7r2UAQAAAAAAAAB1QuftBAAAAICmRq/Xv/POO08//XR2drYQwmQyvf/++++//76TU1q3bv3aa68FBga6fVGtVjt37tw33nhjz549QojMzMxnnnnmn//8p7+/v9t9qmbMmJGZmVlSUiKEuHTp0gsvvFBps+nTp8fHx2/YsKH2V/SsgICAt99+e8GCBVlZWUKIkpKSFStWeDspAAAAAAAAAIAXMKMMAAAA4HlhYWHLli2bNm1atXUqOp1uypQpy5cvDw8Pr+VFNRrN7Nmz77jjDmXz+PHjTzzxRGlpaS27FUIEBQUtX768W7duVTXQ6/Xz5s278847a3+tOqLX6xcuXPj888+HhYU5bylJUlJS0uLFi0NCQuonNwAAAAAAAABAvWFGGQAAAKBOaDSau+66Kykp6dSpUxkZGadPnz516lRhYaEsy+Hh4Z07d+7cuXPv3r27dOmi0Xisfl2SpBkzZgQHB2/evFkIce7cuZkzZ/7rX/+qfc1HWFjYG2+8ceLEiZ07dx46dOj8+fNCiOjo6B49evTv3z8hIcHPz88DD6AuSZLUr1+/Dz/88Ny5c+np6SdOnDh+/HhhYaEQIjo6un379p07d+7Vq1e3bt0a/mMBAADwCI1epwnU113/siwLISRJcqWxJEkBWj6vbvQcB1un0+j1NRxTnZ/QBng0IwAAAKA8SXmvAgAAAACoC1OmTNm/f/+0adMmT57s7VwarpKSEpPJFBAQwEQ+vsNgMKhTXmk0mubNm3s3H9Qbi8VSVFQkSVJkZKS3c0E9sVqt165dUzfDw8N1OoohfEVeXp4QIiwsjEJk3xEcHGw0GpX4+eefX7BggXfzQb0pKiqyWCyBgYHBwcHezgX1pLi42Gw2K7FOp6v9RLloLEwmU0lJiVarjYiI8HYuqCdms7m4uFjdbN68uQe/+IeGzG635+fni4Yx6AaD4bbbbhNCrF+/vlOnTrXsjWcwAAAAAAAAAAAAAAAAfALf3gAAAADQiJlMpnHjxinxjBkzEhMTvZsPAAAAAAAAAKAho1AGAAAAaHzGjRtnMpmUODU11evzXnqXzWZTArvd7t1MAAAAKnX++Vdks9W9c0OevkUOKfNsPvWmLMAihCiy+Ul2ydu5wJl9l5ufLCoVQshbJavFVpuuyqy/vSa/WHp+d853tU2uggBZ0+fXAx7vtiqZW2xXMvPqoueuk+667v7b66JnAAAAOEehDAAAAND42Gw2tToEAAAADZwhPdP+vyrnmtJru9psRZ7Np/5ohRDCQjFzg5dt1B4uuCqEEJkaU6mbRV0Ku11WY6OtJMeYXcvcKgrS6uXLWR7vtipFh/wvfnmiLnpudWt8XXQLAACAalEoAwAAAKC2ioqKJk6cqMRPPfXUgAEDvJsPAAAAAAAAAACVolAGAAAAgAeoM9zIsuy8Jf4/e3caH0WVNnz4VHenu5OQjSUssiOrBgYRRkDQQVnFRwdQHx7H4OAoGAZxZADXiDDqqKAISgZRXBElMqKoELdBkFdMQAQiYAjIGgLZ01l6q673Q82UPSHpdJLekv5fH/jdVX3q1F11EnrJ3ecAAAAAAAAAAIKFQhkAAAAAzZjZbP7444+DnQUAAAAAAAAAoHnQBTsBAAAAAAAAAAAQososZ9/Z8scLRTnBTgQAAADwDQplAAAAAAAAAABA7RQhXC5ZCJZYBQAAQAvB0ksAAABAWFMU5dSpUwcOHDh06NCxY8eKi4sNBkPnzp179+49ZMiQgQMHGo3GYOfoG+FzpQAAAAAAAACAulAoAwAAAISpysrKL7744oMPPigvL3ffb7fbc3JycnJyPv30U0mSUlJSxo0bJ0lSrZ2kpKScO3dOUX79dumzzz6r09UydWV6errBYPjkk09ee+01dc9LL710ySWX1JunLMu33367zWYTQvTp0+eZZ55xf9RqtU6fPl2N586dO2bMGD9dKQAAAAAAAACgBWDpJQAAACBMLVy4cN26dTVqR2pQFOXll19+4oknXC5XrQ1kWZZl2f1RRVHk2qiPjho1StuTkZHhTZ6HDh2qqqpSD5k6dWpdOdRIw+dXCgAAAAAAAABoAZhRBgAAAAhr3bp1u/HGG/v379+mTZvIyEghhCzLJSUlmZmZb775ptVqFUL88MMP69evv+OOO5p+uri4uKSkpIMHDwohPvnkkxkzZuj1es+HfPjhh2qg0+kGDx7c6FMH+EoBAAAAAAAAACGIQhkAAAAgTA0ZMuShhx7q3Llzjf0Gg6Fdu3Y33HDD9ddfn5qaevjwYSFEenr65MmTExISajRes2aNEKK0tDQ5OVnds2DBglGjRnk479SpU9VCGafTeeDAAc+1LxaLZc+ePWo8YcKEiIiIBlzhf/jkSgEAAAAAAAAALQBLLwEAAABhaubMmRfXjrgzmUyPP/64yWRSN7dt21ZXS51OV2tcq0GDBmmzyPzzn//03HjXrl1aPHHiRM+N6+LDKwUAAAAAAAAANGvMKAMAAACgTlFRUVOmTNmwYYMQYtu2bdOnT296n3q9/sYbb9y8ebMQYv/+/eXl5bGxsbW2VBQlPT1djdu2bdu1a9emn70ujbvSkydPzpw503Obdu3aCSGqqqqKioqanmdLpSiKEMJms9nt9mDnggBRB13lcrn4BQk3iqIw6GGrrKws2CkEgft/eg0lO2Vh8mEuQC0cDqcaNOVnNWBcLlcgTyfLsp96bmHvEdQfnurqanVZW4Qbp9PZkn6e4Zn6+y7LMoMetkpKSoKdAgItFAa9qqpKDXzyapBCGQAAAACeDB48WC0fKSkpsVqtZrO56X2OHz9eLZQRQuzcufOGG26otdmZM2cKCgrU+NZbb5Ukqemn9qARVyrLcr1/7Wvbtq0aNIu/OgQddylsMfRhiEEPWww9EJL4xQwCRVFa5H+JLfKi4A2GPgwx6GGLoQ9DoTDovs2BpZcAAAAAeBIXF6fFvvoK+CWXXNKxY0c13rhxY11vcj777DMtvvrqq31yag/8caUAAAAAAAAAgJDCjDIAAABAWFMU5fTp09nZ2T/99NPZs2fz8/NtNpt7A/epLMvLy9u3b++T8952220rVqwQQpSUlJw8ebJ79+41Gjgcjq1bt6rxlVde2apVqyaeMVhXCgAAAAAAAAAIHRTKAAAAAOErKytrzZo1Fy5c8LK93W731amvuuoqLd66deu9995bo8H+/fu1ypXf//73TTydn640Pj7+j3/8o+c233//vRDCYDBERkZ6efYwZLfbZVnW6/VGozHYuSBAHA6H0+lUY0mSfLKsG5oFWZbV/2P5XzF8uFwu9+JUk8mk04XdLNeSJDV6lnBJ1/hjAS/pdPpgp9AA/l6StebpdP46XUREREt6NrTZbC6Xy2AwREREBDsXBIj6Pk6NdTqdyWQKbj4IGKfT6XA4eB8XVrT3cSqz2Rzgp2MEi6IoVqtVhMag+3bpJQplAAAAgDD1yiuvfPLJJ8E6e1RU1MiRI3ft2iWE2LZt25/+9KcaH6emp6ergdlsHjBgQFPO5b8rbd269Zw5czy3OXDggBDCaDRGR0f7I4eWQVEUWZYNBgN3KXxUVla6F8ow9OHDbrfb7XYGPaw4HA73QpnIyEiDgc8kG0Cn08nBzgEtnl7/7/K1oP/9wxsBTlIn+au2r4W9R1D/hhoREdGSLgqeuVwu90IZhj58WK1Wh8PBoIcVm83mXigTFRUVhrXv4cnlcqmFMiE16D7JhDelAAAAQDjavn27Vjui0+kmT548fPjwTp06RUdHGwwGSZK0T5/z8vJmz57tjxxuuukmtVBGUZR9+/YNGzZMe6ikpOTw4cNaM72+8d9wDYUrBQAAAAAAAACECAplAAAAgLAjy/KaNWvUODY2dtWqVQkJCR4a+ymNvn37RkdHV1ZWCiE2btzoXijzzTffaPHYsWMbfYoQuVIAAAAAAAAAQIgIlelxAAAAAARMXl6eWp4ihLjvvvs81I4IIc6fP++nNCRJmjJlihrn5OSUlJSosaIoH3zwgRp369YtMTGx0acIkSsFAAAAAAAAAIQICmUAAACAsHPmzBkt7tevn+fGe/fubVDniqJ433jMmDFa/K9//UsNjh07Vl5ersa33nprg85eg1+vFAAAAAAAAADQ7FAoAwAAAIQdm82mxXq93nPLjIyMejvU6X59Z+F0Or3PpE2bNn369FHjTZs2qUU2n3zyidbAfT2mRvD5lQIAAAAAAAAAmjUKZQAAAICw07ZtWy0+deqUh5br1q3zpvDFbDZrcUFBQYOSueWWW9TAYrHk5ubabLavv/5a3XPdddeZTKYG9VaDz68UAAAAAAAAANCsUSgDAAAAhJ1u3bpp8UsvvVRrgYiiKO+///7WrVu96dBgMERHR6txVlZWg5K54oorJElS408++cT98MmTJzeoq4v5/EoBAAAAAAAAAM0ahTIAAABA2ImJiRk5cqQanz59es6cOfv377dareqeqqqq/fv3z58/f/369UKIadOmedPnmDFj1ODIkSNbtmyxWCzqOkr1ioiImDBhghr/61//euONN9Q4Li6uZ8+e3l5SHfxxpQAAAEBYiY+5JPmmtxLb9A12IgAAAIBvGIKdAAAAAIAmmTJlijYji2d/+MMfpk6dqsZz587dv39/RUWFEOLcuXOPPfZYrYfMmTNn0KBBH3zwQb2d33zzzVu2bFHjtWvXrl27Vgih0+m03NLT0w2G2t+ATJo0SZvQ5cKFC2pw6623enldnvn8SgEAAAAAAAAAzRczygAAAADNm8vlkr3jPsVLVFRUWlpanz596urWbDYvXrx4/PjxXqbRrl27RYsW1Shtcc/Nw7Fdu3Zt27ZtjZ2jR4/28tSe+fxKAQAAAAAAAADNFzPKAAAAAGEqLi7uueeeO3r06Pbt27Ozs0+fPi2ESExMHDBgwPDhwwcPHhwREdGgDkeOHPnee+/t3r07KyvrxIkT+fn5TqfTmwMlSbr11ltXr16t7UlKSoqLi2vQ2T3w+ZUCAAAAAAAAAJopCmUAAACA5mfjxo0+6UeSpD59+niYbUUI0aFDh48//tjLDiMjI3/3u9/97ne/a2gmEyZMmDBhQkOPEkKYzWZv0vP5lQIAAHjvktQHhMvVuGMjDO2EqbnOC15eXi6EiI6O1uv1wc4Fnlx3ScSQdooQwvUXIVxKve092Jihc/5nNsmO5s7D2/tmnkh3ekWRftvD593WpW+cvdtMr74A0FAJl3X3R7cAAACoF4UyAAAAAAAAAOBHMSOHBTuF4KiQC4UQRikuQs8EfiGtR8x/ojZN7Uqn+3Ux1laGmEuiuzS1x1q16uqXbmvTvlPATgUAAIAAaa7fRQAAAAAAAAAAAAAAAAAahBllAAAAAAAAAACNUZV9xHG+oK5HrRaL3qhztdU7/3vpJV1clGSW6jpKCCGEJCXEXrx3f1HMuQo/fqYd7XBFlNv81384cLmt3FTqsJyuOOHNUbFGyah3VB6qKM8urvFQlxuuioiN8mGGAAAAAIUyAAAAQEhIS0v7/PPP1XjmzJk33nij98d++eWXL7/8shoPHz584cKFvs8PAAAAuEjJ5q1lX3zjoUF0n/bOyGPO/95pun6UTj7pqV+9SQzqdfHujT+M3JZT3Yg8vXSNKaJo+wn/9R8OnA6XFudbC7+/sMubo36bGGfQnS0+7Mq8/YMaD0059HpcbOAWWgIAAEA4YOklAAAAICTcddddUVFRsizLsrx27doLFy54eWBJScmqVavUAyMiIv785z/7NU8AAAAAAAAAAJovCmUAAACAkGA0Gh999FFt829/+5uiKB7aqxRFefrpp7WWDz74YFQU05IDAAAAAAAAAFA7CmUAAACAUNG/f//x48er8YkTJz766KN6D/nqq6+OHDmixldfffUVV1zhx/wAAAAAAAAAAGjmKJQBAAAAQsjdd98dFxenxuvWrTt//ryHxuqiS2ocFRV13333+T0/AAAAAGGmzHL2nS1/vFCUE+xEAAAAAN+gUAYAAAAIITUWYFq6dKnL5aq1ZY1Flx566CGz2RyIFAEAAACEE0UIl0sWov6VYQEAAIBmgUIZAAAAILT07dt34sSJanzq1KnNmzfX2sx90aVrr7120KBBAcoPAAAAAAAAAIBmyxDsBAAAAADU9Kc//Wn37t0lJSVCiDfeeGPEiBEdOnRwb+C+6FKrVq3mzJlzcSeyLP/000/79u07dOjQqVOnnE5nmzZtkpKSfvOb3wwdOtRoNDYiMVmW9+3bt2PHjsOHDxcVFcXFxQ0YMGDs2LGDBg2SJKlG4+Li4m+++SYzM/PkyZMOh6NHjx5Dhw4dN26ctraU9yf17YUoipKdnb1jx44DBw4UFRVFRkb27dt36NCho0aNioqKamhvAAAAAAAAAIBmhEIZAAAAIOREREQ8+uij8+fPVzeXLFny0ksv6XT/ng+yxqJLDz/8sMlkcj9cUZRt27atW7fOZrO578/Ly8vLy8vIyNDr9ffcc8+ECRMurm7RnD9/fvbs2VoCSUlJx48fT01NLS8v19oUFRXt3Llz586d3bp1e+qpp2JiYtT9siy/+uqrn376qXuHR44cOXLkyNtvvz137tyxY8d6cx+afiEXX0V+fn5qamp+fr7Wxm63Z2ZmZmZmrl69ev78+aNHj/YmNwAAAAAAAABAc8TSSwAAAEAo6t2794033qjGZ86c2bRpk/bQl19+qS26dP31119++eXuB1ZVVS1YsCAtLa1GcYk7WZbT0tKWLl0qy3JdbRRFkf9DCHHw4MH777/fvUrG3cmTJ+fNm2e324UQTqdz0aJFNapk3K1ateqLL76o61HfXkiNq8jNzZ01a5Z7lUyNxsuWLdu6dWu9uQEAAAAAAAAAmilmlAEAAABC1J133vntt9+qCzC9/fbbI0aMuOSSS0pKSl566SW1QUxMjDZdispms82bN+/8+fPqZrt27WbMmDFw4MDY2FhJkmw2W05Oztq1a0+ePCmE2LNnz/LlyxcuXFhvJj/++KNaqXPllVfefvvtXbp0iYiIcDgcx48fX7FiRV5enhCisLDwtddeu/fee5cvX56Tk2MymWbOnHnVVVfFxcVJklReXr5t27b169erHa5atWr48OGtWrWq64z+uJDs7Oz09HRFUfr165ecnNyzZ8/IyEhFUQoLC9PT0zMyMtRmaWlpw4cPj4+Pr/e2AAAAAAAAAACaHWaUAQAAAEJUREREamqqtrl06VKHw+G+6NJjjz1mNBrdD1m5cqVWXDJp0qRXXnll9OjR8fHxOp1OkiSz2Txw4MAXX3xx3Lhxaptvv/324MGD9WaSnp7ucrlmz56dmpraq1cvo9EoSZLRaOzXr9/KlSsTExPVZlu3bt2wYcOuXbs6deq0bt26iRMnJiQkqKeOi4u77bbbtMWkhBBbtmzxcEZ/XMiGDRucTmdycvIzzzxz+eWXR0VFSZKk0+kSExPnzJlz9913ay3d5+8BAAAAAAAAALQkzCgDAAAAhK5evXrdfPPNmzdvFkLk5eWlpKRo5SPjx4/v16+fe+Pc3NydO3eq8bBhw2bNmiVJ0sV96nS6OXPm5OTknDhxQgixYsWKV199tdaW7iZOnDhp0qSL9xuNxpSUlMWLF6ubGzZsEEI8/fTTMTExFzcePXr0O++8o17CZ599Nn369FrP5b8LGTNmzLRp02p9aPLkyZs3by4oKBBCZGRkzJw5s957IoQoKip68803PbepqqoSQtjt9srKyno7DFtOp1P9l7sUPhwOhxYrisLQhw9tsTwGPXy4XC73zerqap2OL++1HOqTeEPJsqu+HwKl1r0uV50rh/qELLvqbwSvKbUPYy1kl2zQiVoXVK2urjbwlNEcqMPncDh4ig8f7k8BLpeLoQ8f6tAz6GGlxnN0VVWVN5+boQXQvrEZCoOufsoqLnqP2TgUygAAAAAhLTk5+dtvvy0sLBRCaFUycXFx7jOgqN59910tnjdvnoe3LpIkzZ07V53fpaCg4MyZM126dPGcxowZM+p66PLLL3ffnDJlSkJCQl3nveGGG9atWyeEKCsrs1gstdbT+O9C7rrrLg9dTZkyZc2aNUIIq9VaXFzcpk0bD12pysrK3LOtVa9evYQQTqezurq63g7DnCzL3KXwpCgKQx9uGPRwZrPZgp0CfKnWyoZ6uWRZ6D01UBRR60tA2RefiXvgk8/c4cbbShmX7BIG4artx8lqtRp4ymg+nE5n4+rn0Ny5XC5e3YUbXtKHM6vVGuwUEGihMOi+/T+Hb28AAAAAIc1gMDz22GM1dqamptZYdKm6unrPnj1qfM0119RagOLu0ksvjYyMVOPvvvvOc+Mrr7wyKiqqrkeNRmP79u21zeuuu85DV3369NHi0tLSixv470IGDx7subf+/ftrcXFxsefzAgAAAAAAAACaIwplAAAAgFDXo0ePG2+8UdscP3587969a7RRlx9SjRo1qt4+JUlKSkpS4yNHjnhuPGTIEM8NOnXqpMUdO3b00DIuLk6Lay2U8d+FDB061HNX9eYGAAAAAAAAAGjuWHoJAAAAaAb69u27ZcsWLb64wZkzZ7S4a9eu3vTZpUuXzMxMIcTPP//suaX7hDG10uabMZlMBoOndxkmk0mLHQ7HxQ38dyEdOnTw3I/7JD12u92bUxsMhsTERM9tdDqdEEKSJDVArRRFURRFkqSgr3aMgFEHXdvkFyR8aEPPoIcV9+VsGPoWppHP3Y19xpdqX5HJZ3gp4mte309JiDruv06n4/+NZoGX9GGIl/Rhi5f0YYjf93CmvpsLhUH3bQ4UygAAAAAtwenTp7X4vvvuU982qO9gtbey6r8ul0sNZFlW21ssFvUDzbo6d69uqZX2LsVsNjflKoQ/L6Teq2iErl27fvbZZ57bzJo1SwgRGRnZunVrnyfQYlRUVFitVqPRWO9iW2gxKisrtbWldTodvyDhw263l5eXS5LEoIcPh8NRVlambcbGxnouq0XzUm00Vjf8qIgIg5A9NajrFZ3BYBCilmJrXzEY9P7rPAx5Xy8RYYgQQhgiIi5+KC4uLo6njOagvLzcbrebzebo6Ohg54IAsVgsNptNjQ0GQ3x8fHDzQcBYrdaKigq9Xp+QkBDsXBAgNpvNYrFom/Hx8aFQNoEAcLlc6gr1oTDo2qe7PsmEN6UAAABAS6D9vVkIYbVag5VG09+lhMiFAAAAAAAAAABaJEq9AAAAgJagxXwzu8VcCAAAAAAAAAAgBPEZNAAAANAStG/fXos3bNjQfCe7bjEXAgAAAAAAAAAIQcwoAwAAALQEPXr00OKCgoIgZtJELeZCAAAAAAAAAAAhiEIZAAAAoCXo3r27Fu/duzd4iTRVi7kQAAAAAAAAAEAIolAGAAAAaAni4uL69++vxhs3bnQ6ncHNp9FazIUAAAAAAAAAAEIQhTIAAABAC5GcnKwG1dXVa9euDW4yTdFiLgQAAAAAAAAAEGoolAEAAABaiMsuu+zqq69W461bt65bt06WZc+HFBYWvv3225WVlf7PrgFazIUAAAAALUB8zCXJN72V2KZvsBMBAAAAfMMQ7AQAAAAA+My8efOOHTt27tw5IcTmzZu//PLL22+/fciQIa1btzYajUIIl8tVXV1dWFh4+PDhbdu2HT9+XAhx8803Bznvi7SYCwEAAAAAAAAAhMJXXGsAACAASURBVBQKZQAAAICWw2Qyvfjii0uXLj148KAQoqKiYs2aNcFOqjFazIUAAAAAAAAAAEIKSy8BAAAALYrZbP7b3/726KOPxsXFeW4pSdK4ceNWrVoVExMTmNwapMVcCAAAAAAAAAAgdDCjDAAAANDSSJI0bNiwt95669SpU1lZWUePHs3JySktLRVCJCYmdunSpVevXgMHDuzTp09ERESwk/WkxVwIAABAS2Xu08tltdb1qN1u17WNkuITdbr//sZmfBfJ2MZTv3qDiOpw8e7+HVpZlVaNzNULPRXR/bdd/Nd/OHhvqyTkf8fR+shO0V7dzwhdhEkfERlT0fXmkTUeMrSK9G2GAAAAgKQoSrBzAAAAAIAWa9asWXv37k1JSZk5c2awcwldFRUVVqvVZDIxLVD4qKysrK6uVmOdTte6devg5oOAsdvt5eXlkiS1aePxb+RoQRwOR1lZmbYZHx9vMPDlvXBRWFgohIiLi6OsOXxER0dXVVWp8aOPPrp06dLg5oOAKS8vt9vtkZGR0dHRwc4FAWKxWGw2mxobDIb4+Pjg5oOAsVqtFRUVer0+ISEh2LkgQGw2m8Vi0TZbt25dswwaLZTL5SouLhahMeiVlZXXXHONEGLjxo09e/ZsYm/8BAMAAAAAAAAAAAAAACAs8O0NAAAAoGGsVuv06dPVeO7cuWPGjGl6n+fPn589e7YaL1myJCkpqel9hgl/DAcAAAAAAAAAoKWiUAYAAADhZfr06VarVY03bdrUuBkjZVlWA5fL5ZOsFEXR+kRD+Xw4AABAcF34fz9tvfYvwc7C74becaX0y8/etIx/ZIIY7u90/CNKCCEKHUI4gp0JAsWp/Pqa/NNNh84eeieIyfhWlys774413DPplPeHXFHp7Ja7w38pBZSk0930SrCTAAAA8A0KZQAAABBeZFmmJAUAACCkKYrLGQYv2BRFacDrUgqC0fwoipBlJdhZ+IyiuGSXoigNuSLFJRR+eQEAAEIOhTIAAACA75WXl8+YMUONFyxYMGLEiODmAwAAAAAAAAAABIUyAAAAgJ9o89Y07BuHAAAAAAAAAADAbyiUAQAAABrGbDZ//PHHwc4C/8ZwAAAAAAAAAAC8pwt2AgAAAAAAAAAAIBTlHDnXLX5O5v/LDXYiAAAAgM9QKAMAAAAAAAAAAGqhKIrDIbOcLAAAAFoSll4CAAAAQpSiKNnZ2Tt27Dhw4EBRUVFkZGTfvn2HDh06atSoqKioYKV06tSpAwcOHDp06NixY8XFxQaDoXPnzr179x4yZMjAgQONRmPjug3AlfopeQAAAAAAAABAM0KhDAAAANAwVqt1+vTpajx37twxY8a4P5qSknLu3DnF7RuXzz77rE5Xy1SO6enpBkOdL8jz8/NTU1Pz8/O1PXa7PTMzMzMzc/Xq1fPnzx89enRdx+7cufP5559X4/Xr13uuNTl48GBqaqoav/LKK+3atau1WWVl5RdffPHBBx+Ul5e777fb7Tk5OTk5OZ9++qkkSSkpKePGjZMkqa7TnT9/fvbs2Wq8ZMmSpKSkplypqG84fJs8AAAAAAAAAKC5o1AGAAAAaDBZltXA5XJd/JD2qEpRlBp76pWbmzt//nyljvnNFUVZtmxZZWXlxIkT62rQoDNqjes6oxBi4cKFp0+f9tyPoigvv/zyd999l5qaWmtt0MW5NfFKa+R/8XD4NnkAAAAAAAAAQHNHoQwAAAAQWrKzs9PT0xVF6devX3Jycs+ePSMjIxVFKSwsTE9Pz8jIUJulpaUNHz48Pj4+kLl169btxhtv7N+/f5s2bSIjI4UQsiyXlJRkZma++eabVqtVCPHDDz+sX7/+jjvuqLe3AF+pb5MHAAAAAAAAADRHFMoAAAAAvrRmzRohRGlpaXJysrpnwYIFo0aN8r6HDRs2CCGSk5OnTp2qLQMkSVJiYuKcOXO6du26du1adeemTZvuuusuX2ZftyFDhjz00EOdO3eusd9gMLRr1+6GG264/vrrU1NTDx8+LIRIT0+fPHlyQkKC5z4DdqX+SB4AAAAAAAAA0BxRKAMAAAD4nvvaPY1Yx2fMmDHTpk2r9aHJkydv3ry5oKBACJGRkTFz5kytxMSvZs6c6bmByWR6/PHHZ8yYYbPZhBDbtm2bPn16vd0G5kr9lLwQwm63nzhxwnMbdWUol8vldDq9SjcsqctmcZfCSo210hj68KGtl8egh48aK0J6s0BkQ5etbKYUoXj54kZRXIF4wQfAI0URos61aus6pPbFYZspz8/d6oq6vKQPK+7LKCuKwtCHD/XdHIMeVmq8Pnc6nSxcHia0T29CYdC1/3Pcn4AajUIZAAAAIOR4mD1FkqQpU6ao89ZYrdbi4uI2bdoEMDVPoqKipkyZos4T42WtSehcaSOSF0KcOXPm//7v/zy36dWrlxDCarWWlpY2Pc+WzeFwcJfCk8vlYujDjaIoDHrYslgs9bapqKgIQCZB53Q6IxrQkg9ygSBzyk5FadhvotPZosr+vHnuttls6tcPEG5kWebVXbjhfVw4Ky8vD3YKCLRQGPSqqio18EmhDKVeAAAAQGgZPHhwTEyMhwb9+/fX4uLiYv9n1ACDBw9Wg5KSEqvVWm/jkLrSBiUPAAAAAAAAAGiOKJQBAAAAQsvQoUM9N4iLi9PiUPvujntuZWVlnhuH2pU2KHkAAAAAAAAAQHPEjJ0AAABAaOnQoYPnBkajUYvtdruf0/kviqKcPn06Ozv7p59+Onv2bH5+fo1ZtbVla4UQ5eXl7du399BbgK/Ut8kDAAAAAAAAAJojCmUAAACA0GIymYKdQu2ysrLWrFlz4cIFL9vXW9oSyCv1efKqjh07pqWleW6jNjCZTO4z1qCG6upqu90eERERFRUV7FwQIFarVStW0+l0nhdiQ0vidDorKyslSYqNjQ12LggQddC1zVatWun1es+H2KOj/ZxUSDDUdx9+bWngU1wg+Ax6vSRJDTvE4O2vebPg+R1NVVWVw+EwmUxmszlgKSG41EFXY71e36pVq+Dmg4Cx2+3V1dW8jwsrDoejqqpK24yJidHpWLgmLCiKUl5eLoSIjY1t6Ashn9PeFvkkE95iAQAAAKjfK6+88sknnwQ7i0byX/KRkZH1LiD16quvCiH0en1ERIQ/cmgZ1IIJnU7HXQofNcrRGPrwoSiKGjDoYctgMNRb9hEmdSGS5O1fFyRJJ4Sr/nYA/EmSJNHAP8p4/2veLHh+7lb/ZMVL+rDi/mdySZIY+vAhy7Jg0MOM+zTMQoiIiAgKZcKENvQGgyHog679n0OhDAAAAIBA2L59u1ZootPpJk+ePHz48E6dOkVHRxsMBkmStDcneXl5s2fPDl6mtWjWyQMAAAAAAAAAfItCGQAAAKAl0764Xxf1a0CeG6xZs0aNY2NjV61alZCQ0OjeAqxZJw8AAAAAAAAA8DnmRAIAAABaGr1er8X1Fn8UFhZ6bpCXl1dZWanG9913n4dCEyHE+fPnvcsxQJp18gAAAAAAAAAAn6NQBgAAAPCveud08bnY2FgttlgsnhtnZ2d7bnDmzBkt7tevn+fGe/furS+7gGrWyQMAAAAAAAAAfI5CGQAAAMD3dLpfX2k7nc4An71t27Za/Msvv3hoabfbt2/f7rk3m82mxe5z1dTaMiMjw6sUA6VZJw8AAAAAAAAA8DkKZQAAAADfM5vNWlxQUBDgsycmJkqSpMYff/yxh5bvv/++y+Xy3Jt72c2pU6c8tFy3bl3gq4I8a9bJAwAAAAAAAAB8jkIZAAAAwPcMBkN0dLQaZ2VlBfjser3+6quvVuMjR458//33tTb7+uuv09PT6+2tW7duWvzSSy/VWk2iKMr777+/devWRuXrR806eQAAAAAAAACAz1EoAwAAAPjFmDFj1ODIkSNbtmyxWCyKogTs7HfccYcWP/nkkxs2bCgtLVUTsNlsR48eXbx48YoVK/R6/S233OK5q5iYmJEjR6rx6dOn58yZs3//fqvVqu6pqqrav3///Pnz169fL4SYNm2aX66nsZp18gAAAEDQ9e3fKa/yH78deWmwEwEAAAB8xhDsBAAAAICgmTJlirZEkWd/+MMfpk6d2qDOb7755i1btqjx2rVr165dK4TQ6XTaGdPT0w0Gf70g79Chw/Tp0zds2KBubtiwQYvd/f3vf7fb7fXOKzN37tz9+/dXVFQIIc6dO/fYY4/V2mzOnDmDBg364IMPmpa7jzXr5AEAAAAAAAAAvsWMMgAAAAhfLpdL9k4jJoNp167dokWLahTiuJ/Rd9dRu//93/+dPXt2XY+2bdv25Zdf7tu3rzddRUVFpaWl9enTp64GZrN58eLF48ePb0yiftaskwcAAAAAAAAA+BYzygAAAAD+MnLkyPfee2/37t1ZWVknTpzIz893Op0BO7skSZMmTRo1atSOHTuysrJ+/vnnqqqqtm3bXnbZZddee+2gQYP0er33vcXFxT333HNHjx7dvn17dnb26dOnhRCJiYkDBgwYPnz44MGDIyIi/HYpTdWskwcAAAAAAAAA+JDUiK/GAgAAAAC8NGvWrL1796akpMycOTPYuYSuiooKq9VqMpliYmKCnQsCpLKysrq6Wo11Ol3r1q2Dmw8Cxm63l5eXS5LUpk2bYOeCAHE4HGVlZdpmfHx8vatPKrLLWWX1c17Bp5OEpPNqGVBhkKSIBpQ4h46ioiIhRGxsLHXJ4aNVq/iqqio1fvDBhx9PXRzUdHzJJYSil0yGBvxJReeSW9Ss/gazhwfLy8vtdntkZGR0dHTAMkJwWSwWm82mxgaDIT4+Prj5IGCsVmtFRYVer09ISAh2LggQm81msVi0zdatW+t0LeopDnVxuVzFxcUiNAa9srLymmuuEUJs3LixZ8+eTeyNGWUAAAAAAAAAhBBJr4uIiQp2FvAJgxBCkiIkiUKZcGQw6MyR4T30uvC+fAAAgFBFoQwAAEB4sVqt06dPV+O5c+eOGTMmuPk00dGjRxcuXKjGq1ev7tixY3DzcdfCbrVnoTwQAAAAAAAAAABoKJQBAADwgf379y9evFiN//CHP0ydOtXLAzdt2vTOO++o8WOPPXbFFVf4I70aZFlWA5fLFYDT+Zt2OU1cVHT69OlW679n+N+0aVO9M0lardYHH3zw5MmT6mZCQsLzzz9fY57hFnarPfPVQAAAALQ8JQd/+enFTcHOokn6pl5p7ODdQlFuZKNVCFEhG78+E1PpkP2QF0KOrPz63mfn8eIlWw/771z9Oup6XlIihOhdWhRrueC/E9VBf+6L8gYd0OHPM3XRTJcFAAAQfBTKAAAA+EbjqgQURdEORHDJsuz9WFRUVDzwwAP5+fnqZmJi4gsvvBATE+O37AAAANCMVZ0tPLpua7CzaJKeizs5nZYGH2YQQgirS/xQ2L7QWuXzrBCCZLd3xDkFVZYD5/x3LrsSrYs9JoToUloUc+ZH/52odnpT6WcNu7rEe+7QRfspGwAAADQAhTIAAACoqby8fMaMGWq8YMGCESNGBDefUFNaWjpv3rySkhJ1s3PnzsuWLYuK4nuBAAAAAAAAAACEOgplAAAAUAuW0alLQUHBvHnzKioq1M1LL7306aefNplMwc0KAAAAAAAAAAB4g0IZAACA8GI2mz/++ONgZ9FcnT179i9/+YvValU3k5KSFi9eHBERUWtjbjUAAAAAAAAAAKFGF+wEAAAAgObhl19++fOf/6xVyQwbNmzJkiV1VckAAAAAQAtQcuLsq2OS8w/8HOxEAAAAAJ9hRhkAAACgfocPH37wwQe1haiuueaaBx54QJKk4GYFAAAAAP6lKC6nHOwkAAAAAF+iUAYAAKBZUhQlOzt7x44dBw4cKCoqioyM7Nu379ChQ0eNGhUVFRXc3GRZ/umnn/bt23fo0KFTp045nc42bdokJSX95je/GTp0qNFobFBXe/fu3b179/79+0tKSuLj4/v27TtixIjf/va3DeqniX744YfFixdrmxMnTpw9e7afqmR8NbKyLGdlZWVmZv7444+lpaUJCQl9+vQZOXLksGHDGnHr/DEQBQUFu3btOnz48JEjRyorK81mc58+fQYMGDBixIhOnTo1okNZlvft27djx47Dhw8XFRXFxcUNGDBg7NixgwYNuniwiouLv/nmm8zMzJMnTzocjh49egwdOnTcuHFxcXGNuxwAAAAAAAAAQLNAoQwAAECoO3/+/OzZs9V4yZIlSUlJ+fn5qamp+fn5Whu73Z6ZmZmZmbl69er58+ePHj26rt6sVuv06dPVeO7cuWPGjHF/NCUl5dy5c9q8KUKIZ599VqerZb3O9PR0g6Hmi0lFUbZt27Zu3Tqbzea+Py8vLy8vLyMjQ6/X33PPPRMmTPCmyuTnn39esmSJxWLR9hQWFhYWFu7atctkMj300ENXXHFFvZ003c6dO5977jltc9q0aXfccYc3+Xu+1cLXI+vu4MGDTz31VGVlpbanoKBALUwxmUwPP/zw4MGDjx49unDhQvXR1atXd+zYsa7efD4QZWVlzz777MGDB9132u32PXv27Nmz56233urZs+fDDz+cmJhYVw8X37rjx4+npqaWl5drbYqKinbu3Llz585u3bo99dRTMTEx6n5Zll999dVPP/3UvcMjR44cOXLk7bffnjt37tixYxt0OQAAAAAAAACAZqSWv3kAAAAgpCiKIv+HECI3N3fWrFnutRQ1Gi9btmzr1q0eOtR6c7lctT7kvt/97O4u7raqqmrBggVpaWk1qmRq9J+WlrZ06dJae3D35ZdfLliwwL04w53NZlu8ePE333zjuZOmy8jIcK+SmTFjRnJysvdzyXi41cIPI6vasmXLI4884l4l485msz3++OPbt293T8+9NKoGnw/EwYMH77zzzhpVMjUcP378T3/6065du+pqUOPWHTx48P7773evknF38uTJefPm2e12IYTT6Vy0aFGNKhl3q1at+uKLL7y9GAAAAAAAAABAc8OMMgAAAM1JdnZ2enq6oij9+vVLTk7u2bNnZGSkoiiFhYXp6ekZGRlqs7S0tOHDh8fHxwcsMZvNNm/evPPnz6ub7dq1mzFjxsCBA2NjYyVJstlsOTk5a9euPXnypBBiz549y5cv16YzuVh2dvbKlSu1zeuuu27atGkdOnTQ6XRWqzU3N/eVV145efLk8uXLp06d6r+L+uc///nGG29omykpKRMmTPDTuXw1snv37l27dq22OXHixJtuuql9+/Y6nc5msx07duy1117Lzc19/vnnvbl1Ph+IEydOPPLII9rmoEGDkpOTu3XrFhER4XQ6z549u379+u+//1599Jlnnlm6dOmgQYM89/njjz9u2rRJCHHllVfefvvtXbp0iYiIcDgcx48fX7FiRV5enhCisLDwtddeu/fee5cvX56Tk2MymWbOnHnVVVfFxcVJklReXr5t27b169erHa5atWr48OGtWrXy5ooAAAAAAAAAAM0LhTIAAADNyYYNG4QQycnJU6dO1eY1kSQpMTFxzpw5Xbt21YokNm3adNdddzW0/zVr1gghSktLk5OT1T0LFiwYNWpUvQeuXLlSq5KZNGnS3XffrdfrtUfNZvPAgQNffPHF1atXf/7550KIb7/9duLEiUlJSRd3Jcvyk08+qW0++uijw4YN0zYjIyOTkpJefPHFlStXfv3112qFhM8pivL222+np6dre7y8D43mk5F1OBzPPPOMtlmjysRsNl922WXLly9fu3btJ598Uu+t8/lAyLL8xBNPaJt//OMff//732ubERER3bt3f+SRRz7//POXXnpJ3fnkk0++8847RqPRQ7fqMM2ePXvSpEnaTqPR2K9fv5UrV6akpFy4cEEIsXXr1vj4+F27dnXq1Om5557TVmISQsTFxd12220dOnRYvny5umfLli3aslkAAAAAAAAAgJaEpZcAAACamTFjxkybNq3W1X8mT57crl07Nc7IyPCwno5nOp2u1rguubm5O3fuVONhw4bNmjXLvUrGvas5c+Z0795d3VyxYkWtGX755ZfaskEzZ850L85w72revHk9e/asN7fGefHFF92rZBYvXuzXKhlV00c2IyPDarWq8Zw5c2qdi0WSpLvvvvuyyy6rNx+fD8TXX39dVFSkxuPHj3evknE3bty4W265RY2tVqs3JTgTJ050r5LRGI3GlJQUbVOtRnr66afdq2Q0o0ePbt++vRp/9tln9Z4UAAAAAAAAANAcMaMMAABAM+NhnhhJkqZMmaLOCmO1WouLi9u0aROAlN59910tnjdvXq2lHlqGc+fOnT9/vhCioKDgzJkzXbp0qdHmvffeU4PIyMgbb7zRQ1dz5sxRu/K57du3a2f5+9//3r9/f3+cpYamj6xW3NOqVavrr7/eQ2+zZs267777POfj84HQOhRC/PGPf/TQ8rbbbvvwww+dTqcQYtOmTbfddpvngq0ZM2bU9dDll1/uvjllypSEhIRaW0qSdMMNN6xbt04IUVZWZrFYaq2nqeHMmTN//etfPbdRk7daraWlpfV2GLZcLpcQwuFwcJfChzroWszQhw+t3JNBDx81anwtFouHl4stlVZ/3HzJstyUj5Ld/9sHfEV9yyCEkGU58GdvxBdTysrK9FIjv9AS+tRfc5vN5nA4gp0LAsT9/3ZZlnl1Fz7UV3e8jwsrNV7Sl5WVheFL+jBXXl4e7BREVVWVGvjkzQWFMgAAAM3J4MGDPf/x3r2kIzCFMtXV1Xv27FHja665pt7agksvvTQyMrK6uloI8d1339UolCkqKtImHbn55ptrnZnGvavY2Fh/v0aPiIjwa/+qpo9sYWFhSUmJGv/+97/3fOu6d+/epk0b7VZfzOcDUVhYWFBQoMZjxoyJiory0NhoNP7P//zPP//5TyGE3W4/ceKEh0lrrrzySg+9GY3G9u3ba+uCXXfddR7O26dPHy0uLS31plDGbrfn5uZ6btOrVy8hhMvl0j7HR11cLhd/RQtb/IKEG0VRGPSwFZS/ZwddC7jqRk9X+e/DfZUH4ObXn8qm/Xw29vQNPkKWZaWlP/3xkj5s8eouDDHo4awFvLhFQ4XC77tvc2DpJQAAgOZk6NChnhvExcVpcWC+1XHixAkt9mZ9IkmSkpKS1PjIkSMeervyyivr7eraa6/1KssG6tixoxooijJ//vxjx4754yzumj6y7rdu8ODB9Z7R82D5fCBOnTqlxVdffXW96V111VVa7LkSZciQIZ676tSpkxZrI1urwP/6AAAAAAAAAAACjEIZAACA5qRDhw6eGxiNRi222+1+TkcIIc6cOaPFXbt29eYQbRaZn3/+ucZDeXl5WpyYmFhvV+pcHT63bNmy7t27q7FaK3P8+HF/nEjT9JE9e/asFrdr167eM3qYo0X4YSDc03OvXKmL+w05efKkh5bt27f33JU234zJZDIYPM2paTKZtJjZwgEAAAAAAACgRWLpJQAAgObE/Q/5IeL06dNafN999+l0OvGfidkVRdECIYTL5VIDbXJOi8WiKIr7irbnzp3TYs+r86jatm3rk6uoITo6+rnnnvvrX/+qlmi4XK4HHnjg+eef91xc0hRNH1ltdSHh3a3zvCyXzwfCvcPY2Nh6O4yOjtZi9yKbi9V769SfSSGE2Wyu97wN1apVq8mTJ3tuo85IpNfrQ/D3N3Q4nU5ZlnU6XWAWO0MoUAddjSVJci8HRMvmcrnUYkT+Vwwf2qCrjEaj+8u/MNECnuAkqUlfuZRE2A06AkCn+/fPlaQLxleCG/5DbTQa9S336c/hcLhcLr1e7/n7CWhJeEkftmRZdjqdDHpY4SV92FIURf3SZigMum/X/OL1CgAAgI816OVaC1jPtbq6WoutVmsTe3OfK0XnxWed/vsbm8lkUmtl1DWD1FqZFStWaDPNhBrf3jqfD4T7e2lvPjZ1P6nNZqu3vTe8uZCGSkxMXLx4sec2s2bNEkKYTKaYmBifJ9BiVFRUyLIcERHBXQoflZWV2jOIJEkMffiw2+0Oh4NBDysOh6OsrEzbjIqKCsO/oZZHRgY7habS65v0UkoraAB8SK/Xq4E/XurXqxE/061atTK03Ke/8vJyu91uNBrdv/aAls1isWifa+n1el7dhQ+r1VpRUaHT6Rj08GGz2dw/3GvVqlVQnnwReC6Xq7i4WITGoGsJ+CQTfoIBAAB8wP2z/srKSu8PdG/cTL9m6tu/c7h/E8XlctXb3lclFLUym83Lli3TFopyuVz333//iRMn/HfGpnD/+fHm1nlemcvnA+Genjf1Ye4nZcoBAAAAAAAAAICvhN23NwAAAPwhLi5Oi92XmKlXXl6eFsfHx/syp0Bp3769Fm/YsKGJXx1z762qqsr9xtaqqKioKaerl9lsXr58+fz589UVplwu11/+8pcVK1Z069bNr+dtBPdbV11dXW/dledb5/OBcO/QYrHU+3PiXkPWqVMnz40BAAAAAAAAAPASM8oAAAD4QOvWrbU4NzfX+wOPHj1aayfNSI8ePbS4oKCgib1dcsklWnzhwoV62x8/fryJZ6yXWivTuXNndVOW5fvvv19djymkuN86bwbC89Q4Ph8I7QaK/64Pq8v58+e1OATLkgAAAAAAAAAAzRSFMgAAAD4QGRkZFRWlxkVFRRUVFd4cZbFYSkpK1NhsNms9hBRFUTw36N69uxbv3bu3iadz7+2HH36ot/2//vWvJp7RG2az+fnnn9dqR2RZnjdvnjrHTOhwryb58ccf622/Y8cOD4/6fCC6du2qxd999129HWZmZmpxr1696m0PAAAAAAAAAIA3KJQBAADwAUmSJk2apG16UwcghNi1a5cWT5o0SZIk32fWKDrdr68SnU6n58ZxcXH9+/dX440bN9bb3rO2bdsmJCSo8YcffijLsofGubm5ZWVlTTmd98xm8wsvvBDKtTLt2rWLiYlR4w8/rxY8QwAAIABJREFU/NDlcnlofPr0ac+zzvh8INq1a9e2bVs1/vzzz61Wq4fGDofj448/VmOj0dizZ0/PnQMAAAAAAAAA4CUKZQAAAHzjuuuu0+LXX3/dbrd7bm+z2d54441aDw86s9msxd4s4pOcnKwG1dXVa9eubeLZb7vtNjWoqqratm1bXc0URVm9enUTz9Ug6rwynTp1UjedTue8efPOnj0byBw8kCTplltuUePy8vJvvvmmrpaKorzyyiv1dujzgdA6VBTl3Xff9dDyww8/tNlsanzTTTe5V24BAAAAAAAAANAUfOIMAADgG5dccolW7FJRUfH4449XVVXV1biqquqxxx7TGvzud7/r0qVLILL0jsFgiI6OVuOsrKx621922WVXX321Gm/dunXdunWeJyARQhQWFr799tuVlZUXPzRu3DhtFao1a9bs27fv4jZqcUZubm69uflWZGTkCy+8ELK1MpMmTTIajWr8wgsvHD58+OI2iqK89dZb+/fvr7c3nw/E9ddfr81Ss3nz5oyMjFqb7dix45133lFjk8mkVf8AAAAAAAAAANB0FMoAAAD4zKxZs7Q6gJ9++unOO+/88MMP8/PzHQ6HutPhcJw/f/7DDz+88847jxw5ou6Mi4ubPXt2cDKu25gxY9TgyJEjW7ZssVgsiqJ4aD9v3ryOHTuq8ebNm++4445PP/00Pz9fm1nH5XJVVlaePHly27Zt999//8yZM9PT02tdHshgMDz00EPa5uOPP56Wlpafn682ttvthw8fnj9/vlpmcdNNN/nichtArZXRLtZut4dOrYzRaJw/f762uWjRonXr1l24cEG7dTk5OQ8//PCmTZuEF7fO5wOh1+sfe+wxbfPll19+8sknT548qS7XJcvymTNnli9fvmzZMq3Ngw8+6D6/EQAAAIAAS+jR+Z4d6zsM7BvsRAAAAACfMQQ7AQAAgJbDbDavXLly0aJFeXl5Qgir1fr666+//vrrHg7p2LHjM888ExkZGagcvXXzzTdv2bJFjdeuXasuqKTT6SRJUnemp6cbDL++mDSZTC+++OLSpUsPHjwohKioqFizZk2jzz5o0KB77703LS1N3dy6devWrVsvbjZ37tzu3bt/9NFHjT5R46i1Mvfff39+fr74T63MypUrtZlmgmj48OHJyclvvfWWurl58+bNmzdf3Gzu3LndunXTbp02rDX4fCAuvfTSJ5544oknnlCrbb7//vvvv/++rsYPPPDAkCFD6u0TAAAAAAAAAADvMaMMAACAL8XFxa1evTolJUVbAacuBoNh1qxZaWlp8fHxgcmtQdq1a7do0aIa9RMul0v+j4sPMZvNf/vb3x599NG4uDjPnUuSNG7cuFWrVsXExNTVZuLEiU8//bS2AlQNBoPhkUceGTt2rBeX4hdRUVErVqzo0KGDuqnWyqh1M0E3bdq0xx9/vK6JWPR6/cMPPzx27Fj36Xzca55q8PlADB48+PXXX+/Xr5+HNl27dn3llVeuvfZa77sFAAAAAAAAAMAbzCgDAADgYzqdbsKECePGjTt27NiePXuOHz9+7Nix0tJSRVHi4+N79erVq1evIUOGXHrppTpdSFctjxw58r333tu9e3dWVtaJEyfy8/PVJXI8kCRp2LBhb7311qlTp7Kyso4ePZqTk1NaWiqESExM7NKlS69evQYOHNinT5+IiIh6E7jsssveeeedrKys3bt379u3r7S0ND4+vnfv3ldfffVVV10V9BV51FqZefPmnT9/Xghhs9nmzp27atUqrXomiIYMGfLuu+/u3r07MzNz//792q0bOXLk8OHD1VtXVlamta+rDkbl84FISEh49tlnL1y48O233x46dOjw4cMVFRVRUVF9+/YdMGDAiBEjOnfu3IirBgAAAAAAAACgXpKiKMHOAQAAAECgbdq06c0331Tjjz76qK7Vl9B0s2bN2rt3b0pKysyZM4OdS+iqqKiwWq0mk8nDRFNoYSorK6urq9VYp9O1bt06uPkgYOx2e3l5uSRJbdq0CXYuCBCHw+FeoRsfH+9hNruWqvLUhdOffBfsLJqk4++7R7Rr8MBVVFQIISIjI38qjbK6+CA6LEzsNcj6n6f4qXfff9u9f/XfuTrGKx3bVAkhOlaURlor/HeiWimKVHbQ2qBD4iaM0ZlNfson6MrLy+12e2RkpOdvYqAlsVgsNptNjQ0GQ2hOmQx/sFqtFRUVer0+ISEh2LkgQGw2m8Vi0TZbt24d4l8Bha+4XK7i4mIRGoNeWVl5zTXXCCE2btzYs2fPJvYWdm9KAQAAAAghdu7cqQbdu3enSgYAAMCvorsm9ku5KdhZBEGVs1AIYdbFXdW+/hkl0TLo3N5c9G/f6pbBlwTirLGBOEkNkhAJvYJwXgAAADQdpV4AAABA2CksLDx+/Lgajx07NrjJAAAAAAAAAAAQMMwoAwAAADSM1Wo9evRodnb2zz//fO7cuZKSEpfLFR0d3bVr1x49evTo0aN///7t27cP2WlaFEVZvXq1tjl06NAgJtN0R48eXbhwoRqvXr26Y8eOwc0HAAAgdNhP5zmLSjw0yO/S2mnQ+y+BsqoyIUS0ZG8W621JhUK2sj5UUynKr/fwXLlt7+nSbq3tsZGy56P0VVa91e6+p7LQZTlvr6t9E8X27hzViRUAAQAAwlczeH8CAAAAhIhz586tX79+x44dFz9kt9tLSkr279+vbsbExNx6663jx483m82BzFBRlHXr1t16660xMTG1NpBl+dVXX92zZ4+6OXz48A4dOgQwQb+Q5X9/7O7+oTwAAACK3t9csuVzDw3ef2ZGvqM6YPmEuE5fxB8/UBTsLJo9h92lxZ8dLtj37g9L/sd5RbdfPB8VW2iM3LfTfU/xqa5f/mVnXe2baETaX/rOmuynzgEAABD6KJQBAAAA6udwOF599dWtW7d62d5isbz22mtqzcott9xiNBr9mp67jz766KOPPrruuuuuu+66bt26tWrVSpIkWZbLy8t//PHH9evXX7hwQW2p1+tnz54dsMQAAAAAAAAAAAg6CmUAAACAelgsloULF549e1bb07Fjx5tvvrl///5t27aNioqSJElRFKvVWlBQkJ2d/dlnn50+fVoIoSjK+++/bzKZpk2bFuCcv/rqq6+++spDA4PB8OyzzyYkJAQsJQAAAAAAAAAAgo5CGQAAAMCTqqqqP//5zyUlJepmQkLCokWLBgwYUKOZJElRUVHdunXr1q3bDTfccPr06X/84x8HDx4MeL5eGTx48F//+te6lmcCAAAAAAAAAKClolAGAAAAqJOiKIsXL9aqZPr06fPkk0+aTKZ6D+zSpcuTTz6ZlZW1bNkyP+f4XyRJev/993/55ZfDhw/n5uaeOXOmuLjYYrEYDIa2bdv269evX79+w4cPZyIZAAAAAN4os5zdsv3RcSMeSmzTJ9i5AAAAAL5BoQwAAABQp6+++urIkSNq3LZt26eeespoNHp/+NChQ19//fXs7Gz/ZFe7yMjIAQMGXDznDQAAAAA0lCKEyyULoQQ7EQAAAMBndMFOAAAAAAhRDofjH//4h7b50EMPNahKRhUVFTVs2DCf5gUAAAAAAAAAABqJGWUAAACA2n333Xd2u12N+/Xr17t37wCcVJblgwcP7tq169ChQxcuXHA6nQMGDHjyySdrbfnTTz/t27fv0KFDp06dcjqdbdq0SUpK+s1vfjN06NBG1PQIIRRFyc7O3rFjx4EDB4qKiiIjI/v27Tt06NBRo0ZFRUV52cOpU6cOHDhw6NChY8eOFRcXGwyGzp079+7de8iQIQMHDmxoYrIs7927d/fu3fv37y8pKYmPj+/bt++IESN++9vfNrQrn+cGAAAAAAAAAGh2KJQBAAAAard582YtnjZtms/7P3/+/OzZs9V4yZIlSUlJOTk5S5YsKS8vd2/mcDhqHKgoyrZt29atW2ez2dz35+Xl5eXlZWRk6PX6e+65Z8KECZIkeX/2/Pz81NTU/Px8rY3dbs/MzMzMzFy9evX8+fNHjx7t4XIqKyu/+OKLDz74oEb+drs9JycnJyfn008/lSQpJSVl3LhxHhJz9/PPPy9ZssRisWh7CgsLCwsLd+3aZTKZHnrooSuuuMKbfvyRGwAAAAAAAACgOaJQBgAAAKiFzWbLzc3VNi+77DKfn0JRFFmWtc09e/YsWbKk3qOqqqpSU1NzcnI8tJFlOS0tLSsr65FHHtHr9d6cPTc3d/78+Yqi1NV42bJllZWVEydOrOukCxcuPH36tOfkFUV5+eWXv/vuu9TUVJ2unnVgv/zyy5UrV9b1qM1mW7x48fz58zt16uS5H3/kBgAAAOD/s3fv0VFVd8PH95kZkpkJySSEhPtF7gECRgQJN9vYYlVsWUCr9BWwsQoSEd9FpXWpiKCPbdXnEUFowJX3oRZRAkoVF2BpixcqTbgYCLcQMSSQOwlMbnM/7x+nPR1zmQzJ3JL5fv5g/c6Zffb+zTmTcDLzm70BAACALopCGQAAAKAVV69eVeP4+PioqCi/Dnf8+PEPP/xQCDFixIiHH354xIgRBoNBluXKysojR46ozaxW68qVKysqKpTNhISEJUuWTJgwISYmRpIkq9VaUFCwbdu2y5cvCyGOHTv2+uuvr169ut3R8/Pzs7OzZVkeM2bM4sWLhw0bpoxeXV2dnZ198OBBpdmWLVtSU1NjY2M9dDVkyJD7778/KSkpPj7eYDAIIZxOZ21tbU5Ozvbt2y0WixDixIkTO3bsWLRokeeU3Ktk7rrrrgULFvTt21ej0VgslsLCwq1bt16+fPn111+fP39+u0/Qt7kBAAAAAAAAALouvigJAAAAtKK0tFSNhw8f7u/hPvjgA1mW586d+/rrr0+YMMFoNEqSpNFo+vbt614I8uabb6pVMvfee+/WrVtnzZoVGxur0WgkSdLr9RMmTNiwYcPs2bOVNl9++eXp06fbHX3nzp0Oh2Px4sW/+93vxo8fr46emJiYkZHx6KOPqi337NnTVieTJk3avHnzxo0bZ8+ePWjQIKUTSZJ0Ol1CQsJ99933zjvvJCUlKY2zs7Nra2vb6srpdL788svq5nPPPbdy5coBAwZotVpJkgwGQ3Jy8oYNG9LS0jyn5I/cAAAAAAAAAABdGjPKAAAAAK2oqqpS48GDBwdgxIkTJ/7iF7+QJKmtBoWFhV988YUST5kyZenSpa021mg0GRkZBQUFRUVFQog33njj7bff9tCtIi0tbcGCBa0+NGfOnL179yon5ODBg+np6a32lp6e7nmIyMjIF154YcmSJVarVQhx4MCBhQsXttry0KFDDQ0NardTpkxp2Uaj0axcubKoqOjSpUuex/Vtbs1cv379o48+8txGmavGbrc3NTV502d4UhYCczqdnKXw4XA41FiWZS59+FAX/uOihw/31R6FEFar1W63ByuZcOP+y7ZVba28GZ5cLs6GX7hcrvbbfPcXhRDC5Wq+x4e4OfcH5be9w+Hg3IYP9//iXS4Xlz58KDcY/B0XVprdVVoslnbfbET3oP69EAoXXf2d483tZbsolAEAAABacePGDTWOi4sLwIjLli3z/MfGu+++q8YrV6700FiSpBUrVqxatUoIUVVVdeXKlUGDBnke/ZFHHvHQ27x58zIzM4UQFoulpqYmPj7ec29tMRqN8+bN27lzp/BYjPLee+8pgcFguP/++z0klpGRoTzNzvMyt2Zqamrcl4hqlTIjkd1uV6t/0BaHw9Hu53nolmRZ5gck3HDRwxkfqARSu/+xUhrizq+VGeHMq0KZFm2cvvj8oy1Wq5X/hvzEbrdTDRmeXC4XP1bhhosezhobG4OdAgItFC66b3OgUAYAAABohftbezpdO7fNZrN5yZIlHhq8/PLLY8eO9dAgMTFxwIABHho0NTUdO3ZMie+8887o6GjPKY0YMcJgMCgfRH311VeeC2VSUlI8d6guSySE6EyhjDKWUoxSW1trsVj0en2zBteuXbt27ZoSz507V6vVeuhtxIgRMTExZrO5w/ncVG4AAAAAAAAAgK5OE+wEAAAAgFDUo0cPNfZmigunR+3OaT9z5kzPDZR1lLxsLISQJCk5OVmJz58/77nx5MmTPTcwmUxqfP369XZH97Ir92l7VO7P9Pbbb/fcmyRJ3/ve9zqTj7t2cwMAAAAAAAAAdHXMKAMAAAC0IiYmRo07WRrijXaXRrpy5YoaDx482Ms+c3JyhBAXLlzw3LJv376eG0RERKixzWbz0FKW5ZKSkvz8/DNnzly9erW8vNxqtbo3cJ9T3Ww29+nTp1kPpaWlapyYmOg5MfHvhY280fncWhX01XkBAAAAAAAAAN6jUAYAAABoRUJCghoXFxd7bhwTE/PRRx8127l3796srCwvh4uLi/PcoKSkRI2ffPJJjUYjhFAmqpFlWQ2EEC6XSwmcTqfSvq6uTpZlD/UckZGRXubpWW5ubmZmZmVlpZftW625KSsrU2Oj0dhuJ7179w5Ybi0NGzYsNzfXc5ulS5cKIYxGo5ephqf6+nqLxRIZGdnusmLoNhoaGpTl4YQQGo2mV69ewc0HAWOz2cxmsyRJnVnID12L3W53n6otNja23XUt4St2vb7JYwOtViNcHluEE16ZfuLNidW5zeip6KFrvseHevbsyc25z5nNZpvNZjAYoqKigp0LAqSurk79/olOp4uNjQ1uPggYi8VSX1+v1WrbfTsL3YbVaq2rq1M3e/Xqpbw5iW7P5XLV1NSI0LjoDQ0NSuCTTLj1BwAAAFrRv39/Nb506VIHetBqtd43bve9Y/XjZCGExWLpQD7+tnXr1n379nW+H/cKFW/+5vGmysdXuQEAAAAAAAAAujoKZQAAAIBWDBgwQI2rqqoaGxu9md3Ef0L8662HDx9WK1E0Gs2cOXNSU1P79+8fFRWl0+kkSVLnsyktLV22bJmHrtyXeXK5XO3WGzVbPsmvuQEAAAAAAAAAurqQfrcdAAAACBa9Xj9s2DB1LpmzZ8/efvvtQcynT58+arxz586Qmsva6XRmZmYqcUxMzMaNGz1MvasuCNUW92fa2NhoMpk8t7927VrAcgMAAAAAAAAAdHUsHgYAAAC07ic/+YkaZ2dnBzETIcQtt9yixlVVVUHMpKXS0lJ1gdgnn3zS8wLVFRUVnntzn8unsrKy3dE9L4zl29wAAAAAAAAAAF0dhTIAAABA66ZPn64ueHTu3LmCgoIgJjN06FA1Pn78ePASacWVK1fUeMyYMZ4bt5u8+zM9ceJEu6P//e9/D1huAAAAAAAAAICujkIZAAAAoHURERGPPfaYuvn73//eZrMFKxmTyZSUlKTEu3btcjgcwcqkJavVqsZardZzy4MHD3rurXfv3uq8Lx9++KHn5ZAKCwtv3LgRsNwAAAAAAAAAAF0dhTIAAABAm+6+++4RI0YocWVl5QsvvBDEWpnFixcrQVNT07Zt24KVRku9e/dW4+LiYg8ts7KyvCnxeeCBB5SgsbHxwIEDbTWTZXnz5s0Bzg0AAAAAAAAA0KVRKAMAAAC0SZKkdevWxcTEKJtnzpxZtmzZxYsX2z3QarXm5+f7Nplx48bNmDFDiffv35+VleV5thUhRHV19TvvvNPQ0ODbTJoZMmSIGm/atKnVchNZlt9///39+/d70+Hs2bONRqMSZ2Zmnjx5stUON2/eXFhYGODcAAAAgLASGz1g8U/+mBg/OtiJAAAAAD5DoQwAAADgSc+ePd96662+ffsqm9XV1atWrXriiScOHTpUUlLS1NQky7LykN1uv3HjxunTp996662f/exnX331lc+TWblyZb9+/ZR47969ixYt+uSTT8rLy9V5blwuV0NDw+XLlw8cOPDUU0+lp6dnZ2e7XC6fZ+IuOjp6+vTpSlxSUpKRkZGXl2exWJQ9jY2NeXl5q1at2rFjhxBiwYIF7Xao0+meeeYZdfOFF17YsmVLeXm58kRsNtu5c+dWrVqlrJT0k5/8JJC5AQAAAAAAAAC6NF2wEwAAAABCnclk2rRp0x/+8IdDhw4pe4qLi998801vjo2Li3vsscfGjh3rk0wiIyM3bNiwfv3606dPCyHq6+szMzN90nMnrVixIi8vr76+XghRVlb2/PPPt9osIyNj4sSJu3fvbrfDiRMnPv7441u2bFE29+/f3+qMLytWrBg6dOif//znQOYGAAAAAAAAAOi6mFEGAAAAaF9ERMSTTz751ltvpaamennIuHHjXn755f/93/+dPn26JEm+ykSv17/00kvPPfecyWTy3FKSpNmzZ2/cuDE6OtpXo7fFaDRu2bJl1KhRbTXQ6/Vr1669++67ve/znnvueeWVV6Kiolp9VKfTPfvssz/84Q+DkhsAAAAAAAAAoItiRhkAAADAW4MGDXrmmWeampoKCgpOnTpVUFBQVlZ27do1l8tlMBj69+8/dOjQgQMHjhw5cvjw4Uaj0U9pSJI0ZcqUP/7xj8XFxbm5uRcvXiwoKLh+/boQIjExcdCgQcOHD58wYcKoUaN69OjhpxxaMplMr7766sWLFw8fPpyfn19SUqLkM3bs2NTU1JSUlA4kM27cuD/96U+5ublHjx49efLk9evXY2NjR44cOWPGjKlTp+r1+iDmBgAAEPp69OtjGNtmubAQon9kjEHvr7tWIYTD4RBCaLVaHxaO+09Mf6Nk6QJ5hjhJIwnnv+LEnhHj+8eYDNYemkTPR2l0LhE37Dt7akwJdyT5KUl9YqyfegYAAECXIMmyHOwcAAAAAKDbWrp06fHjx5cvX56enh7sXEJXfX29xWKJjIwMwARICBENDQ1NTU1KrNFoevXqFdx8EDA2m81sNkuSFB8fH+xcECB2u/3GjRvqZmxsrE7Hl/fCRXV1tRDCZDJRlxw+oqKiGhsblfi5555bv359cPNBwJjNZpvNZjAY2poWFN1PXV2d1WpVYp1OFxtLCVq4sFgs9fX1Wq02Li4u2LkgQKxWa11dnbrZq1cvjYaFa8KCy+WqqakRoXHRGxoa7rzzTiHErl27hg0b1m57z3gFAwAAAAAAAAAAAAAAICzw7Q0AAAAg+CorK0+ePHn27NlvvvmmsrLS5XKZTKZBgwYNHTp07Nixo0ePNplMAUumoqJi2bJlSrxu3brk5OSADQ0AAAAAAAAAgF9RKAMAAOAzX3zxxX//938r8dKlS3/0ox95bm+z2R544AF1c/78+Q899JDnQ2RZfuCBB+x2uxBCkqTs7GytVtu5rBFkly5d2rRpU2FhYbP9VVVVVVVVJ06c+OCDD4QQgwcP/vGPfzxjxgyj0ejvlGRZdjqd/h4FAAAA3c/eCb+03ahXN10ulxBCkiRJkoKXVMjRm4xJo0Nlrve41+5xJVpa7n/vn6MPnLN1oEOrw6XGhysKf5Oz10PjF24ci3S2Mro7zczVIiqxA5kAAAAAbaFQBgAAwGdGjx6tlhccOXKk3UKZy5cvu5cjfP755+0WylRWVlos/3obMTk5mSqZLk2W5ffee2/nzp3eNC4uLt60adOOHTu2b9/u78QAAACAjmm4UmW7Xt9+u/Dmaoiyx4VKoYws2Z1yK5fMbLFXmNspYWm9Q7fY4rTXWhs9tbZcFw6PDYQQLor4AQAA4GMUygAAAPhMQkKCTqdzOBxCiLy8PKfT6bmQ5dSpU+6b5eXljY2NnucLOXfunBpPmzatc/n6i9lsXrJkiRI//fTTIZtn0O3bt8+9SiY5OXn+/PnDhw/v2bOnRqNxuVxms7m4uPjw4cN//etfg5gnAAAAAAAAAADdBoUyAAAAPiNJ0h133HHkyBFls7S0dNCgQR7aqy1V33777bhx4zwckpOTo8bJyckdzdTv1JlyZFn23DJsVVRUbNu2Td1cu3btbbfd5t5Aq9XGxcXFxcVNnDhx6dKlH3/88Y4dOwKeJgAAAAAAAAAA3UqoTPAIAADQPdxxxx1qfPbsWQ8tbTZbYWGhEt91111K8PXXX3s4RJblo0ePqpsDBgzoeKIItuzsbDV+4oknmlXJNKPX63/605++++673//+9/2fGgAAAAAAAAAA3RaFMgAAAL40duxYNf7qq688tCwpKVGCxMTEuXPnKvHnn3/u4ZCqqiplXSchRHJysud1nRDKZFk+dOiQEms0GrVSyjOj0fjwww/7MS0AAAAA+C5L5eWTz95dX5Qf7EQAAAAAn6FQBgAAwJcSEhJ0un+tbnny5EmXy9VWy9OnTyvBjBkz1LlhysrKmpqa2jrkwoULajxt2jQfpIsgMZvN6msjKSmJmicAAAAAIUqWZadDsKguAAAAuhFdsBMAAADoViRJuuOOO44cOSKEkGW5rKysrQWS/vGPfyhBSkqKTqcbM2bM+fPnhRBFRUVJSUmtHpKTk6PGEyZM8JCG0+k8c+bMyZMnz549W1xc7HA44uPjk5OTb7311smTJ0dERHjzXCorK48fP/71119fvny5urpao9EkJCQMGzZs/PjxKSkpiYmJ3nTSAT5JvmWfp0+fPnLkyNmzZysrKx0Ox9ixY19++WUPh8iynJ+f//nnn586deratWsGg2H06NGTJ0+eOXOm0Wjs6JP7F/dyqJiYmE721owsy8XFxadOnTp79uw333xTU1Oj0+kGDhw4cuTISZMmTZgwoWPn0CcnxE+5eXl9/TQ6AAAAAAAAAKALoVAGAADAx9RCGSHEmTNnWi2UsdvtSlmMEGLYsGFCiGnTpil7vv7661YLZWRZPnr0qLrZv3//VkeXZfnAgQNZWVlWq9V9f2lpaWlp6cGDB7Va7WOPPfajH/1IkqS2nkJdXd3//M//HDt2rNn+kpKSkpKSzz77TAiRlJT0y1/+cuTIke4Nli9fXlZWJrt91/D3v/+9RtPKLIbZ2dnq1Du+Tb6iomLZsmVKvG7duuTk5IKCgnXr1pnNZvdmdrvdwyHl5eVr1qwpLy9X29hstpwTROUVAAAgAElEQVScnJycnM2bN69atWrWrFltJeAN9+deVFTUma7cNTQ0/OUvf9m9e3ezJ2uz2QoKCgoKCj755BNJkpYvXz579mwP57Clzp8QX+XWgevrw9EBAAAAAAAAAF0dSy8BAAD42NixY9XYvbTF3ZUrV5QgLi4uOjpaCDF+/HhlzxdffNHqIdeuXVPLRyZOnNjqYj2NjY1PP/30li1bmhWauHM6nVu2bFm/fr3T6Wy1wY0bNx599NGWVTLNnDt3btWqVc0WinI6nU6n033BKVmWna3xU/LNRhRCHDt27Fe/+lWz8gjPhxQWFi5dutS9KKRZ49dee23//v0eOmyXyWRS47Kysqqqqs70plq9enVWVla7T/att9568cUXPawL1oxPToivcuvA9fXh6AAAAAAAAACAro4ZZQAAAHwsISFBq9Uqn+IfP37c5XK1nFIlPz9fCWbMmKEEgwcPVoIrV65YLBa9Xt/skAsXLqhxampqy3GtVuvKlSsrKirUNJYsWTJhwoSYmBhJkqxWa0FBwbZt2y5fviyEOHbs2Ouvv7569eqW/bz44ouNjY3qQPPmzRswYIDRaJQkyeVy1dfXK5PKHDx48CZOSnt8lXwzx48f//DDD4UQI0aMePjhh0eMGGEwGGRZrqysVGf9aSY/Pz87O1uW5TFjxixevHjYsGHKIdXV1dnZ2eqz3rJlS2pqamxsbMeeb48ePdTFtoQQ69evf+WVV6KiojrWWzNDhgy5//77k5KS4uPjDQaDEMLpdNbW1ubk5Gzfvt1isQghTpw4sWPHjkWLFrXbm29PiG9zu9nr69vRAQAAAAAAAABdEYUyAAAAPiZJ0tSpU5XP6WVZLi8vb7lM0j/+8Q8luO2225QgIiJi6NChyio8RUVFY8aMaXZIbm6uGicnJ7cc980331QLTe69995HH33UfdYZvV4/YcKEDRs2bN68+dNPPxVCfPnll/fcc0+zrq5evVpYWKjEP//5zx988EH3R7VarclkMplM48ePT09P/+ijj5rlkJmZKYS4fv364sWLlT1PP/30zJkzW2brj+Rb+uCDD4QQc+fO/cUvfqGupyNJUt++fefPn9/qITt37hRCLF68eP78+e6HJCYmZmRkDB48eNu2bcrOPXv2PPLII+0+tbb8/Oc/X7NmjRIXFRU99NBD8+bNS0tL69+/f4eX/pk0adIzzzwzcODAZvt1Ol1CQsJ99933gx/8YM2aNefOnRNCZGdnz5kzJy4uznOfvjoh/sjN++vrj9EBAAAAAAAAAF0RhTIAAAC+d8cdd6gTWpw9e7ZZoYzD4Thz5owSjxgxQt0/ffp0pVAmLy+vWaGMLMtqbY0QomXlTWFhobpm05QpU5YuXdpqsYVGo8nIyCgoKFAGeuONN95++233lhcvXlTjtkpJFAaD4YEHHmj1IfcZdFrOptOSr5Jv1cSJE92rKLyRlpa2YMGCVh+aM2fO3r17lZWSDh48mJ6e3uGilltvvTU1NfWrr75SNp1OZ3Z2dnZ2tlarnTRpUnJy8qhRowYOHKiszOWl9PR0zw0iIyNfeOGFJUuWKOtbHThwYOHChe1265MT4qfcvLy+fhpdCOF0Om/cuOG5jSzLyr8s6uQBZykMKRddxaUPH+ql56KHj5Y/71x9IHTIN7k/8Fwul+CXRlfALX0Y4pY+bHFLH4b4eQ9b6rUOhYvu2xwolAEAAPC9pKQkNT569OgPfvAD90evXr2qBD179jSZTOr+iRMn7tixQwjxxRdfNKtBqampUdaFUZq5z7aiePfdd9V45cqVHuoGJElasWLFqlWrhBBVVVVXrlwZNGiQ+ui1a9eUQK/X9+jRo91n6hO+Sr5Vy5Ytu9laFg/TokiSNG/ePGXiHIvFUlNTEx8ff1Odu1u9evXWrVv379/vvtPpdObk5OTk5CibvXv3nj17dlpaWmJiYocHcmc0GufNm6fME+NlOUjATkgHcuvA9fXh6EKIy5cv/+xnP/PcZvjw4UKIpqammpqazufZvdlsNs5SeHK5XFz6cCPLMhc9bJnN5mCnAD9q9iEKWhVSZ8lht7d6P+2w2wMwujen4saNG057ZACSgU9YLBb17QuEFYfDwd1duHE6nVz0sHX9+vVgp4BAC4WL3tjYqAQ+qZhp/wu+AAAAuFmJiYlqLcuxY8eavfeXn5+vBNOnT3ffP2TIECUoLi5WprVQFRQUqPG0adOaDdfU1HTs2DElvvPOO9udg2TEiBEGg0GJ1RlNFOqxFouloaHBcz8+4cPkW0pMTBwwYMBN5ZOSkuI5B/cqqE6+HaDVah9//PE333wzJSWlrTbV1dXvvvvuL3/5y3Xr1vnqUyV1uNra2nbfwQzkCbnZ3DpwfX04OgAAAAAAAACgK6JQBgAAwPckSZo6daoSu1yuiooK90fVRZRuv/129/0Gg6Fv375KfPnyZfeHcnNz1Xj8+PHNhlOWIlLMnDnTm/SSk5OV+Pz58+4PjRw5Uo1/+9vfqjXa/uPD5FvypsNmJk+e7LmB+yRAPqmjHzp06IsvvvjOO+/86le/mjJlSsvpghTHjh1bvHjx2bNnOz+i+1Nod9mgAJ+Qm8qtA9fXh6MDAAAAAAAAALoill4CAADwizvuuOPIkSNKfPbsWbUCxul0nj59WolHjRrV7KgZM2bs3r1bCJGXl6c+KsuyWlsjhOjfv3+zo65cuaLGgwcP9ia9QYMGKYv7XLhwwX3/0KFDBwwYoCwOlZeX9+CDD86YMeOee+4ZPny40Wj0pueb5cPkW215s/moV6otERERamyz2W62/7aYTKZZs2bNmjVLluW6urrS0tIzZ84cOnRIXahLCOFyuX7zm99s27atT58+HrqSZbmkpCQ/P//MmTNXr14tLy9vNkGR+9SUZrPZc2++PSG+ze1mr69vRwcAAAAAAAAAdEUUygAAAPiF+3o0//znP9PS0pS4tLRUCQwGQ2xsbLOjUlJSlEKZI0eO/PSnP1V2Xr9+XZ3ZZeLEiS1nHCkpKVHjJ598UqPRiH+v9S7LshoIIVwulxI4nU6lfV1dnSzLkvSvVeklSXrxxRdXrFjR1NSk7Pnyyy+//PJLIUR8fPyUKVMmT56clJQUFRXVwfPSgg+TbykuLu5m84mMjLzZQ3xLkqSYmJiYmJgxY8bMnz+/vLz8D3/4w4kTJ9QGr7zyyhtvvNHW4bm5uZmZmZWVlV4O125piw9PiM9zu6nr6/PRFYmJievXr/fcZteuXUKIiIiIdlcWC2cWi8Vut/fo0UOv1wc7FwSI1WpVf9AkSerZs2dw80HAOByOpqYmLnpYcTqd7vMUGo3GtqbQQzfg4eYcqpA6S1qt1tXqfp1WCIe/R/fmVERFRck9uZHuApqamhwOR0RERND/rEbAKH/HKbFWq/XTN6wQgux2u8Vi0Wg0PnyHECFO+TtO3ezZs2dI3c/Af2RZrq+vF6Fx0ZXPDoSPbqcplAEAAPCLxMRErVarlHTk5OSo9Rz5+flKg9TU1Jb3c8OGDVOCS5cu2Ww2Za6Oixcvqg2mTZvWciz3v1IsFkvnM/9//+//ZWVlffrpp+77r127tn///v379wshbr/99ocfftjLCWA8823yzeh0Xf52t2/fvmvXrt2+ffuePXuUPZcuXSotLW05sZAQYuvWrfv27Qtsgt7yR27eX1//nZmePXvec889ntvs3btXCKHT6Xi/2AO73W632zUaDWcpfDgc//nsTZIkLn34kCRJ+d+fix4+1I/QFBEREd3gJg3oNjQaTauFMhpJE+hU2hARESH4L6MrUCbs1Gq1/BcfPty/YcItfVhRvsnGRQ9nERERaskCujd1Bu5QuOjqW0kUygAAAIQuSZKmTp2qrL7kdDorKyuVZVyOHj2qNJg8eXLLo6KiouLi4mpra4UQly9fHjlypBAiNzdXbTB+/PiWR/n8kwaj0fjEE0+kp6d//fXXR44cycnJabZCzbFjx44dOzZv3rwlS5Z08q6Uj0m8sWjRor/97W/KC0MIcfbs2ZaFMocPH1ZrQTQazZw5c1JTU/v37x8VFaXT6SRJUq9UaWnpsmXLApZ80HML5TMDAAAAAAAAAAgwPpYAAADwlylTpiiFMkKIc+fO9enTx+l0njx5UtkzevToVo+aOXPmRx99JITIy8tTCmXUToQQrc4jopTgKHbu3OmrWU+NRuO0adOmTZsmy/L169cvXbr0xRdffPbZZ+rKRx988MHgwYPVVaU6xk/JdzMajebee+/dsWOHsvntt982a+B0OjMzM5U4JiZm48aNHpYlUq9gYAQ3t1A+MwAAAAAAAACAwGNOJAAAAH9JSkpS43/+859CiLKyMmUzIiIiPj6+1aNuu+02JfjHP/4hhLh+/bqyCKgQIiUlRavVtjzklltuUeOqqiofpP5dkiTFxcVNmjTpqaeeys7OTk9PVx/aunWrOvtix/g7+W5j4MCBauy+XpWitLS0oaFBiZ988kkPtSBCiIqKCp+n50FwcwvlMwMAAAAAAAAACDwKZQAAAPylT58+al3LP//5T1mWz5w5o2xOmTKlrRWLhg8frgSFhYU2m62wsFB9KDU1tdVDhg4dqsbHjx/vdOKe6HS6uXPnzp49W9lsbGysqanx0F5ZtNiDQCbfpan1UkIIk8nU7NErV66o8ZgxYzx3FeDzHNzcQvnMAAAAAAAAAAACj0IZAAAAf5EkacqUKUrscDiqqqqUeWWEEOr+lkwmU8+ePZW4uLj42LFj6kPjxo1r6xB19ppdu3Y5HI7OJ+/ZtGnT1Liurq7ZoxrNf24y200m8Ml3Ubm5uWo8atSoZo9arVY1bnXaIfeWBw8e9G1ungU3t1A+MwAAAAAAAACAwKNQBgAAwI+mTp2qxrm5uep8FZ5ntpg+fboSfP3111988YUSS5LUv3//tg5ZvHixEjQ1NW3btq0zOXvDfRYZtaxHpdfr1dib1ZQCnHwoaGxs3Lt3r91u97J9aWlpTk6Outny9dO7d281Li4u9tBVVlZWgKuRgptbKJ8ZAAAAAAAAAEDgUSgDAADgR+pcKUKI7du3K+sQaTSaPn36eDhq0qRJSrBr1y51vpaUlBQP82GMGzduxowZSrx///6srCyn0+k5t+rq6nfeeaehocF9565du06fPu352KampnfeeUeJ9Xq9eyGCQqfTRUVFKbH7PCj+Tr5rycrKWrhw4Z49exobGz23LC8vX716tbqZmpoaFxfXrM2QIUPUeNOmTa0WfMiy/P777+/fv78TWXdEcHML5TMDAAAAAAAAAAg8CmUAAAD8qE+fPmp1i8ViUYLbb79dkiQPR40cObLZIUKI1NRUz2OtXLmyX79+Srx3795FixZ98skn5eXlNptN2elyuRoaGi5fvnzgwIGnnnoqPT09Ozvb5XK5d/LNN988++yzDzzwwNatW/Py8mpqatRZT5xOZ21t7eHDhx977LHa2lpl57Jly1p9LmlpaUpw/vz5jz/+uK6uTikS8mvyXY7NZtu+ffuDDz740ksvffnll1evXlWvuCzLjY2N58+ff+ONNx577DGz2azsj46OXrlyZcuuoqOj1YmISkpKMjIy8vLy1N4aGxvz8vJWrVq1Y8cOIcSCBQv8/txCJrdQPjMAAABA6NP3GXrbb//a85bkYCcCAAAA+Iwu2AkAAAB0Z5IkTZky5auvvnLf6b4eU6t69eoVGRlptVrdd44bN87zUZGRkRs2bFi/fv3p06eFEPX19ZmZmR3KWthstn379u3bt89zs7vvvvv73/9+qw/NnTv3448/VuJt27YpCyppNBq1qiY7O1un+8+9qA+T74pycnLcV1ZqS1xc3GuvvWY0Glt9dMWKFXl5efX19UKIsrKy559/vtVmGRkZEydO3L17d2cSvlnBzS2UzwwAAAAAAAAAIMCYUQYAAMC/WpbFuK/H1CpJkpodJUmSOuGKB3q9/qWXXnruuedMJlO7Q8yePXvjxo3R0dHtdttSdHT0008/vXz58ramxklISPj1r3/d7FGXy+X8tyAmHwqMRmNWVlZ6evqAAQO8aW8wGB599NG33347ISHBQ59btmwZNWpUWw30ev3atWvvvvvujmTcOcHNLZTPDAAAAAAAAAAgwJhRBgAAwL+alcV4WfIyefLkzz77TN1MSUlRl3DyTJnD5o9//GNxcXFubu7FixcLCgquX78uhEhMTBw0aNDw4cMnTJgwatSoHj16tDx89erVVVVVxcXFRUVF3377bVlZWVVVVVNTk8vlMplMgwcPHjt2bEpKyqhRozSadkqup0+f/t577x09ejQ3N7eoqKi8vNzhcPg1+a6ld+/ec+fOnTt3bl1d3cWLFy9cuFBUVHTlypWKigq73a7X6/v16zdw4MARI0ZMnDhx8ODB3rwATCbTq6++evHixcOHD+fn55eUlAghEhMTx44dm5qampKSEsTzFtzcQvnMAAAAAAAAAAACSZJlOdg5AAAAAEC3tXTp0uPHjy9fvjw9PT3YuYSu+vp6i8USGRnZdWeKws1qaGhoampSYo1G06tXr+Dmg4Cx2Wxms1mSpPj4+GDnggCx2+03btxQN2NjY92X4EQ3Yy68Klz/ecO5trZWCBEdHc1F/y5Zb/DqixABoOkVKYytXJ3rDboGW+sTiHqWNCihqbFRif/vb1b/es1zHhonOhvaH8PYW2h4/XQBZrPZZrMZDIaoqKhg54IAqaurU9cN1+l0sbGxwc0HAWOxWOrr67VabVxcXLBzQYBYrda6ujp1s1evXu1+ixLdg8vlqqmpEaFx0RsaGu68804hxK5du4YNG9bJ3ri/BAAAAAAAAAD4QMyI7ywtaqvWCyGiTSYm8OtyevcUvTt0oHvhS5Quoo/Bcxk0RdIAAAAIAkq9AAAAAAAAAAAAAAAAEBaYUQYAAABAiLp48eLq1auVePPmzf369WvZxmKxLFy4UIlXrFiRlpYWuPwAAAD8z25uPP3qex07ts8wUw+nxbf53JTGxkYhhEOv7/w87dEDI7SOeiFEj2kjhOZfs5Y0GPWyJHs8LjhyKw11dmews7hp9saeldUdWW7JncNt7a3z+ZV7dnzd7iEjf6jV6lxtPRopi+EV33Qyq5ak0fcJbaTPuwUAAECXQKEMAAAAEL4WLlxosfzrs5M9e/YEfaHZlpzOf33AIMttfgSitnG52nx7HQAAoIuy1zflvbyjY8dO/cVkufC8b/PpgEZfdGK8d4jr6hkhRI/x94h/F8fUR8bLss0X3fvY5xX9yxrqgp3FTYu1DD50orPn071QpvB89UfZp9s9ZE6KXtK3OW6Mzjjswr5OZtWSNGI2hTIAAABhi0IZAAAAIHw5nU61ygQAAAAAAAAAgG4v5L4wCgAAAAAAAAAAAAAAAPgDhTIAAAAAAAAAAAAAAAAICyy9BAAAAKAL0+v1H330UbCzAAAAALohS+XlcxseG/no6z2Hjg92LgAAAIDPMKMMAAAAAAAAAABoQZZlp0PIcrDzAAAAAHyJQhkAAAAAAAAAAAAAAACEBZZeAgAAAHDTZFnOz8///PPPT506de3aNYPBMHr06MmTJ8+cOdNoNHrZidPpPH78+NGjR/Py8mpra2NjY0ePHj1t2rQ77rgjIiLCHzkXFxefOnXq7Nmz33zzTU1NjU6nGzhw4MiRIydNmjRhwgR/DAoAAAAAAAAACCkUygAAAADwpKKiYtmyZUq8bt265OTk8vLyNWvWlJeXq21sNltOTk5OTs7mzZtXrVo1a9asdru9cOHCunXr6urq1D3V1dXV1dVHjhyJjIx85plnbrvtNm/Ss1gsCxcuVOIVK1akpaW1bNPQ0PCXv/xl9+7dZrPZfb/NZisoKCgoKPjkk08kSVq+fPns2bMlSfJmXAAAAAAAAABAV8TSSwAAAAA8kWXZ+W9CiMLCwqVLl7pXyTRr/Nprr+3fv99zn4cOHXr66afdq2TcWa3WtWvXfvbZZ15mqKbncrlabbB69eqsrKxmVTItM3/rrbdefPHFtjoBAAAAAAAAAHQDzCgDAAAAwFv5+fnZ2dmyLI8ZM2bx4sXDhg0zGAyyLFdXV2dnZx88eFBptmXLltTU1NjY2LY6efPNN9XNu+66a8GCBX379tVoNBaLpbCwcOvWrZcvX3799dfnz5/vw+SHDBly//33JyUlxcfHGwwGIYTT6aytrc3Jydm+fbvFYhFCnDhxYseOHYsWLfLhuAAAAAAAAACA0MGMMgAAAAC8tXPnTofDsXjx4t/97nfjx483Go2SJGk0msTExIyMjEcffVRtuWfPnlZ7cDqdL7/8srr53HPPrVy5csCAAVqtVpIkg8GQnJy8YcMGZQWltjq5WZMmTdq8efPGjRtnz549aNAgJW1JknQ6XUJCwn333ffOO+8kJSUpjbOzs2tra30yLgAAAAAAAAAg1DCjDAAAAICbkJaWtmDBglYfmjNnzt69e6uqqoQQBw8eTE9PlySpWZtDhw41NDQocXp6+pQpU1r2o9FoVq5cWVRUdOnSJZ/knJ6e7rlBZGTkCy+8sGTJEqvVKoQ4cODAwoULvem5rKzMve6nVfX19UIIi8Vy48YN7/INR8rCXjabjbMUPpSLrpBlmUsfPpQV7rjoYUWWZffN+vr6lncI8MDSxmqV3nA6HN3mi5JOp7Ple9nNXl2ho4uu5ulwOoIyrizLHn4p+Olkms1muYez/XbwmsPhEEJYrVYlQDhwv6V3Op3c3YUP5TczFz2sNPvv2Gw2c0sfJtT77VC46I2NjUrgk/tDCmUAAAAA3IRHHnmkrYckSZo3b15mZqYQwmKx1NTUxMfHN2vz3nvvKYHBYLj//vs9dJWRkbFq1SpfpOwVo9E4b968nTt3ipsplGlqajp69KjnNsOHDxdCuFwuu93e+Ty7N1mWOUvhiUsfnrjoYYsPUG9WZ35YQraOpAO62HPpWtn+W2ieZD8l5XA4XIL/iXzP5XJ10UIxdBK39OGJix62uKUPQ6Fw0X37O6fbfKMAAAAAgN+lpKRER0d7aKAuYCSEqKmpafbotWvXrl27psRz587VarUeuhoxYkRMTExHM+2IlJQUJaitrbVYLIEcGgAAAAAAAAAQGBTKAAAAAPDW5MmTPTcwmUxqfP369WaPFhUVqfHtt9/uuStJkr73ve/dVHqd5J48swcDAAAAAAAAQLfE0ksAAAAAvNW3b1/PDSIiItTYZrM1e7S0tFSNExMT2x1OWbTIV2RZLikpyc/PP3PmzNWrV8vLy61Wq3sD9xnCzWZznz592u3TYDBMnTrVc5va2lohhEaj6dGjR4cSDwtOp9PlckmSpNPxV2q4UC66EnPpw4rL5XI6nUIIfiuGD1mW3afp1ul0QV/bvmtxduKHpTud6i72XLpWtv8mSZIQIbf6kp/OpU6nk/mfyKccDocsyxqNxvPUoehOuKUPW9zShyH1oiu4pQ8f6l9zoXDRffs7h/+0AAAAAHgrMjKyM4eXlZWpsdFobLd97969OzOcu9zc3MzMzMrKSi/bt6zyaVW/fv02bdrkuc3SpUuFEHq93n3GGjRTX19vsVgiIiI8r+2F7qShoaGpqUmJJUniByR82Gw2s9nMRQ8rdrvdfaq2nj178kHaTenR4Gi/URu0Ol3IVT10VKsfvUuSJIfkM9RouuRU7jqtTgivboN9y/OHLn46mTExMSKipz96Dltms9lms0VGRkZFRQU7FwRIXV2d+v0TrVbL3V34sFgs9fX1XPSwYrVa6+rq1M2YmJguereDm+VyuWpqakRoXHT1D0mfZMIfpQAAAAACxL36xJu/ZzpZl6PaunXrvn37fNIVAAAAAAAAAKBLo1AGAAAAQIC4L8zkcrnanZG72dJIHXP48GG1Skaj0cyZMyc1NbV///5RUVHKlKHqF1hLS0uXLVvW+REBAAAAAAAAACGLQhkAAAAAAdKnTx81bmxsbHeG3mvXrnVyRKfTmZmZqcQxMTEbN26Mi4vz0LiTwwEAAAAAAAAAQhyLhwEAAAAIkAEDBqhxZWVlu+0vXbrUyRFLS0sbGhqU+Mknn/RQJSOEqKio6ORwAAAAAAAAAIAQR6EMAAAAgAAZOnSoGp84caLd9n//+987OeKVK1fUeMyYMZ4bHz9+vJPDAQAAAAAAAABCHIUyAAAAAAKkd+/e6pwuH374oeeljgoLC2/cuNHJEa1WqxprtVrPLQ8ePNjJ4QAAAAAAAAAAIY5CGQAAAACB88ADDyhBY2PjgQMH2momy/LmzZs7P1zv3r3VuLi42EPLrKwsh8PR+REBAAAAAAAAAKGMQhkAAAAAgTN79myj0ajEmZmZJ0+ebNlGqZIpLCzs/HBDhgxR402bNrVaCiPL8vvvv79///7ODwcAAAB0J/o+Q2/77V973pIc7EQAAAAAX6JQBgAAAEDg6HS6Z555Rt184YUXtmzZUl5e7nK5hBA2m+3cuXOrVq1SVkH6yU9+0snhoqOjp0+frsQlJSUZGRl5eXkWi0XZ09jYmJeXt2rVqh07dgghFixY0MnhAAAAAAAAAAAhThfsBAAAAACEl4kTJz7++ONbtmxRNvfv39/qbC4rVqwYOnTon//8504Ot2LFiry8vPr6eiFEWVnZ888/32qzjIyMiRMn7t69u5PDAQAAAAAAAABCGTPKAAAAAAi0e+6555VXXomKimr1UZ1O9+yzz/7whz/0yVhGo3HLli2jRo1qq4Fer1+7du3dd9/tk+EAAAAAAAAAAKGMGWUAAAAABMG4ceP+9Kc/5ebmHj169OTJk9evX4+NjR05cuSMGTOmTp2q1+t9OJbJZHr11VcvXrx4+PDh/Pz8kpISIURiYuLYsWNTU1NTUlJ69Ojhw+EAAAB8qEdPw8Rn/0/Hjo0ZZuqRmuzbfG5KY2OjEEKv12s0nf3GpnZghHbcrUIIETNCaCRlZ0+tXpbkTvbsD7P6GOrszmBncdPsjT2HRJAxZhMAACAASURBVEqd7OT/aiTbv+MRY3r/eEH7r8CRvbVanautRyNlIY2e08msWqHlTwAAAIDwRaEMAAAAEL527drVbpu+fft+9NFHXnYYHR3tfWOtVjt16tSpU6e21WDkyJHt9qbX670ZUZKkUaNGeZhXRtzkMwUAAAiMHjHG29anBzuLDqqurhZCmEwmP9Ul9/RHp76QNiDYGQTP026FMmPGJ87/P7f6oNP4iT7oBAAAAPg3ll4CAAAAAAAAAAAAAABAWGBGGQAAALSjsrLy5MmTZ8+e/eabbyorK10ul8lkGjRo0NChQ8eOHTt69GiTyRSwZCwWy8KFC5V4xYoVaWlpARs6nHHaAQAA0HVZr5mt18yBGUvSiMhIjaavQej8+yVVlyxbnf4dwuGUzI3amz0qFJfCAgAAAL6LQhkAAAC06dKlS5s2bSosLGy2v6qqqqqq6sSJEx988IEQYvDgwT/+8Y9nzJhhNBoDkJXT6VQCl6vNZey7ioULF1osFiXes2ePRuPVO921tbXp6f+afj8lJWXNmjX+ys9NdzrtAAAACCvnNv/55Av/G5ix+iQPHBp7o/fHP3Pq6vw6kEaK/aLM4dchzOaEtw7e9CcIVgd/LwAAACDUsfQSAAAAWiHL8s6dO5966qmWVTItFRcXb9q06fHHHw9AYt2M003HDqRsBQAAAAAAAAAA7zGjDAAAAFqxb9++nTt3qpvJycnz588fPnx4z549NRqNy+Uym83FxcWHDx/+61//GsQ8A8BsNi9ZskSJn3766WnTpgU3HwAAAAAAAAAA0GEUygAAAKC5ioqKbdu2qZtr16697bbb3Btotdq4uLi4uLiJEycuXbr0448/3rFjR8DTDBx1uhdZloObCQAAAAAAAAAA6AwKZQAAANBcdna2Gj/xxBPNqmSa0ev1P/3pT++7775du3b5PzWh1+s/+uijAAwEAAAAAGHOUnn53IbHRj76es+h44OdCwAAAOAzmmAnAAAAgNAiy/KhQ4eUWKPR3HXXXd4cZTQaH374YT+mBQAAAAAIMFmWnQ7BzJoAAADoXiiUAQAAwHeYzWaXy6XESUlJWq02uPkAAAAAAAAAAAD4CksvAQAA4DuamprUOCYmxredy7JcXFx86tSps2fPfvPNNzU1NTqdbuDAgSNHjpw0adKECRMiIiJ8O6L70Pn5+Z9//vmpU6euXbtmMBhGjx49efLkmTNnGo1GPw0aOpxO55kzZ06ePHn27Nni4mKHwxEfH5+cnHzrrbdOnjzZ56fdH8N1/goG8eUHAAAAAAAAAAgRFMoAAADgO3S6/9wiFhUV+arbhoaGv/zlL7t37zabze77bTZbQUFBQUHBJ598IknS8uXLZ8+eLUlSW/1YLJaFCxcq8YoVK9LS0lq2qaioWLZsmRKvW7cuOTm5vLx8zZo15eXl7uPm5OTk5ORs3rx51apVs2bNatnP8uXLy8rKZLdpxn//+99rNK1Mypidne1+3kKKLMsHDhzIysqyWq3u+0tLS0tLSw8ePKjVah977LEf/ehHHk57gIfz1RVU+erlBwAAAAAAAADo6kL03XwAAAAEi8lkUuOysrKqqqqEhITOd7t69eqSkhLPbWRZfuutt7766qs1a9a0Wo+icDqdSqAuEdWyH7WNEKKwsHDVqlXu9S7NGr/22msNDQ333HNPy4Hc+2nZc+hrbGxcs2ZNQUGBhzZOp3PLli25ubnPPvtsJ1fa8tVwvrqCKh++/AAAAAAAAAAAXRqFMgAAAPiOHj16jBkz5vz588rm+vXrX3nllaioKJ90PmTIkPvvvz8pKSk+Pt5gMAghnE5nbW1tTk7O9u3bLRaLEOLEiRM7duxYtGiRT0bMz8/Pzs6WZXnMmDGLFy8eNmyYwWCQZbm6ujo7O/vgwYNKsy1btqSmpsbGxvpk0BBhtVpXrlxZUVGhbCYkJCxZsmTChAkxMTGSJFmt1oKCgm3btl2+fFkIcezYsddff3316tWhNpwPr2DgX34AAAAAAAAAgFBDoQwAAACa+/nPf75mzRolLioqeuihh+bNm5eWlta/f/8Or0ozadKkZ555ZuDAgc3263S6hISE++677wc/+MGaNWvOnTsnhMjOzp4zZ05cXFxnnoVi586dQojFixfPnz9fTV6SpMTExIyMjMGDB2/btk3ZuWfPnkceecT92MzMTCHE9evXFy9erOx5+umnZ86c2fmsAuPNN99Uy1buvffeRx991H0GF71eP2HChA0bNmzevPnTTz8VQnz55Zf33HNPcnJySA3XmSuoCtbLDwAAAAAAAAAQaiiUAQAAQHO33npramrqV199pWw6nc7s7Ozs7GytVjtp0qTk5ORRo0YNHDgwOjra+z7T09M9N4iMjHzhhReWLFlitVqFEAcOHFi4cGGHn4K7tLS0BQsWtPrQnDlz9u7dW1VVJYQ4ePBgenp6y0og91V4/Loiz7x587ysQ2prESJ3hYWFX3zxhRJPmTJl6dKlrXau0WgyMjIKCgqKioqEEG+88cbbb7/dgXIovw7XySso/Pnyq6+vV594W2w2mxDC4XAonaNVymJbLpeLsxQ+3FdYk2WZSx8+HA6HEnDRw0ezlSttNlvXWssSnWe329taNTUw1N88AaDcq3tzx+6TgUJ8CO7uworyY+50Orno4cP9dzu39GFF+Y+Vix5Wmt1N2Wy2Dn+dEl2LekMYChdd/Z3jkzthCmUAAADQitWrV2/dunX//v3uO51OZ05OTk5OjrLZu3fv2bNnp6WlJSYm+mRQo9E4b948ZQYRHxbKtDXLiBBCkqR58+YpM8dYLJaampr4+HifDNoBvv3w4N1331XjlStXevgzRpKkFStWrFq1SghRVVV15cqVQYMGhdRwgbmCHXv5VVZWPv/8857bDB8+XAhhs9nq6uo6llv4sNvtdrs92FkgCGRZ5gck3HDRw1ljY2OwU0CgBf2iK4XLgaHc1QegMCgAQzidnR3C6XTy2z7c2Gy2QP7EIXTw8x6GXC4XFz1s1dfXBzsFBFooXHT1zwqfFMr48RuxAAAA6Lq0Wu3jjz/+5ptvpqSktNWmurr63Xff/eUvf7lu3Tqz2eyTcdXhamtrLRaLTzr0PPNNUlKSGtfU1HR+xFDQ1NR07NgxJb7zzjvbnftnxIgRBoNBidWZhEJkuEBeQZ+//AAAAAAAAAAAoYYZZQAAANCmoUOHvvjiizdu3MjLy/v888+PHz/e6jz5x44dW7x48X/913+NHTu2kyOaTCY1vnHjhl6v72SHkydP9n7E69evd3K4zvjwww+1Wq03Laurqz2vJaQsbKSYOXNmux1KkpScnKzMFXT+/HlvcgjYcIG8gj5/+QEAAAAAAAAAQg2FMgAAAGiHyWSaNWvWrFmzlFUSSktLz5w5c+jQoatXr6ptXC7Xb37zm23btvXp08dDV7Isl5SU5Ofnnzlz5urVq+Xl5c0WM3afP9xsNnvuzRt9+/b13CAiIkKNgztBtPeLvLZbT3PlyhU1Hjx4sDd9Dho0SKlcuXDhgpdpBGY4H17BwL/8AAAAAAAAAAChhkIZAAAAeEuSpJiYmJiYmDFjxsyfP7+8vPwPf/jDiRMn1AavvPLKG2+80dbhubm5mZmZlZWVXg7nk7KVyMjIznfS5ZSUlKjxk08+qdFoxL+XbpVlWQ2EEC6XSwnUuYLq6upkWfa+asffw/nqCvrp5TdkyJBPP/3Uc5vf/OY3QgiDwdCrVy8vRw9DDQ0NVqs1IiKiZ8+ewc4FAdLY2KiucabRaGJjY4ObDwLGbrfX1dVJkhQXFxfsXBAgDofDfZnOmJgYnY73JMOFsjJmdHR0jx49gpiGuu5nAChF7RqtxtVu004OpNEI0cp8nz6k03k14aXHHnTcA4ePuro6u92u1+uNRmOwc0GA1NfXq38763S6mJiY4OaDgLFarQ0NDVqt1n1qXnRvNputvr5e3YyNjVXeAES353K5lDm8Q+Giq28U+yQT/igFAABAB/Xt23ft2rXbt2/fs2ePsufSpUulpaX9+/dv2Xjr1q379u0LbILhq6mpSY3Vz6G7zXAd4L+Xn1arbfetf6UMSJKkoP8xGco4S2GoWYUclz58qJeeix4+Wv68c/XDTdAv+k1VgftmROH/EQP+pDqAu7uwwi19GOKWPmxxSx+GuKVHKFx03yZAoQwAAAA6ZdGiRX/7299qa2uVzbNnz7YslDl8+LBapqDRaObMmZOamtq/f/+oqCidTidJkvq3Vmlp6bJlywKWfHcV4G9ph/iXwnn5AQAAAAAAAABUIf2ONgAAAEKfRqO59957d+zYoWx+++23zRo4nc7MzEwljomJ2bhxo4elFtQVedAZffr0UeOdO3dGRUV1p+FuCi8/AAAAAAAAAIA75kQCAABAZw0cOFCN3VfhUZSWljY0NCjxk08+6aFMQQhRUVHh8/TC0C233KLGVVVV3Wy4m8LLDwAAAAAAAADgjkIZAAAAdFZ9fb0am0ymZo9euXJFjceMGeO5q+PHj/swMZ+TZTnYKXhl6NChahyAUxrg4W5Kd3r5AQAAAAAAAAA6j0IZAAAAdFZubq4ajxo1qtmjVqtVjbVarYd+rFbrwYMHfZtb52k0/7lndjgcQczEeyaTKSkpSYl37drl77QDPNxN6eovPwAAAAAAAACAb1EoAwAAgO9obGzcu3ev3W73sn1paWlOTo662XLSjt69e6txcXGxh66ysrJCqsZCodfr1TjU1hXyYPHixUrQ1NS0bdu2bjac97r6yw8AAAAAAAAA4FsUygAAAKC5rKyshQsX7tmzp7Gx0XPL8vLy1atXq5upqalxcXHN2gwZMkSNN23a1GotgizL77///v79+zuRtb/odLqoqCgldp87J8SNGzduxowZSrx///6srCyn0+n5kOrq6nfeeaehoSH0h/NeV3/5AQAAAEGk7zP0tt/+tectycFOBAAAAPAlCmUAAADQCpvNtn379gcffPCll1768ssvr169arFYlIdkWW5sbDx//vwbb7zx2GOPmc1mZX90dPTKlStbdhUdHT19+nQlLikpycjIyMvLU3trbGzMy8tbtWrVjh07hBALFizw+3O7eWlpaUpw/vz5jz/+uK6uTpbl4KbkjZUrV/br10+J9+7du2jRok8++aS8vNxmsyk7XS5XQ0PD5cuXDxw48NRTT6Wnp2dnZ7tcri4xnJe6wcsPAAAAAAAAAOBDumAnAAAAgJCWk5PjvrJSW+Li4l577TWj0djqoytWrMjLy6uvrxdClJWVPf/88602y8jImDhx4u7duzuTsD/MnTv3448/VuJt27YpSwtpNBpJkpSd2dnZOl3I3VpHRkZu2LBh/fr1p0+fFkLU19dnZmZ2m+G819VffgAAAAAAAAAAH2JGGQAAAHyH0WjMyspKT08fMGCAN+0NBsOjjz769ttvJyQkeOhzy5Yto0aNaquBXq9fu3bt3Xff3ZGM/S8hIeHXv/61WhajcLlczn8LVmLt0uv1L7300nPPPWcymTy3lCRp9uzZGzdujI6O7irDeamrv/wAAAAAAAAAAD4Ucl97BQAAQND17t177ty5c+fOrauru3jx4oULF4qKiq5cuVJRUWG32/V6fb9+/QYOHDhixIiJEycOHjxYq9W226fJZHr11VcvXrx4+PDh/Pz8kpISIURiYuLYsWNTU1NTUlJ69Ojh/2fWcdOnT3/vvfeOHj2am5tbVFRUXl7ucDiCnZRXJEmaMmXKH//4x+Li4tzc3IsXLxYUFFy/fl0IkZiYOGjQoOHDh0+YMGHUqFE+uQQBHs5LXf3lBwAAgM6IiImKGtRmWb9vRfaO7dGrh0aOFJK/V2vVG3X+XcbU0SOyT8xN3ydL7TcBAAAAgkySZX/frwMAAABA+Fq6dOnx48eXL1+enp4e7FxCV319vcViiYyMDMAkQwgRDQ0NTU1NSqzRaHr16hXcfBAwNpvNbDZLkhQfHx/sXBAgdrv9xo0b6mZsbGwIrlkJP6murhZCmEwm6pLDR1RUVGNjoxI/99xz69evD24+CBiz2Wyz2QwGQ1RUVLBzQYDU1dVZrVYl1ul0sbGxwc0HAWOxWOrr67VabVxcXLBzQYBYrda6ujp1s1evXhoNC9eEBZfLVVNTI0Ljojc0NNx5551CiF27dg0bNqyTvfEKBgAAAAAAAAAAAAAAQFjg2xsAAAAIIRaLZeHChUq8YsWKtLS04ObTGRcvXly9erUSb968uV+/fr7qubKy8uTJk2fPnv3mm28qKytdLpfJZBo0aNDQoUPHjh07evRok8nkq7EAAAAAAAAAAOhOKJQBAADo/vLy8tauXavEDz300Pz58708cM+ePX/605+U+Pnnn7/tttv8kV4zTqdTCVwuVwCG8yv1ufhqwdNLly5t2rSpsLCw2f6qqqqqqqoTJ0588MEHQojBgwf/+P+zd+9xUdX548c/Z2aAAYIBEVREIcRrIrFeUlPbtaI0u6zV19w2Tbposma7ltVq5qW27eLjW5q6aktralbk2lauWlbm5deKmHlDxcsKKAJyEYaBuZ/fH6c9O1+EAWFggHk9//DxPofPfD7vcz4CM8N7Pp977hk1alRQUJBHxgUAAEA7Uvz/jmfOWeXtLIQQwm63CyG0Wq0kSW6a3fDLGHGlzPWM5rqA4CXNevVhskWcrfx5j79KW8jJK0b37ZsgwNz5p9OyEKK7Rqs/XOjx/tspm+2/r+O05my5cKMQQjbpRP7pJvQm28M0v3hA6tTVY/kBAAAAFMoAAAD4iKZVbMiyrD4Q3iXL8kcffbRp06bGNM7Ly3v33Xc3bty4bt26lk4MAAAAbY31StXl/Se8ncU1sCVI9rx81zPa8GB/Z0xz+rTLAWWWciU22rT/NpY2p7c6dbYHHyuwCiEcAX7anBKP999Oyc7/vuSUHFXCckkIISzBovxcU3rTxso2m7syKwAAAODaUSgDAACA9qSysnLq1KlK/Nxzz40cOdK7+bSaL7/80rVKJjEx8f777+/Vq9d1112n0WicTmdlZWVeXt6uXbu++eYb91159x767AwCAAAAAAAAANoCCmUAAADQznh8P6O2r6ioaO3aterhwoULa22DpdVqw8PDw8PDk5KSpk+f/sUXX2zcuNFNh969hz44gwAAAAAAAACANoJCGQAAALQher3+888/93YWbU5GRoYa/+53v6tVJVOLXq9/8MEH77rrrk8++aTlUwMAAAAAAAAAoD3ReDsBAAAAAO7Isrxz504l1mg0t956a2MeFRQU9Oijj7ZgWgAAAAA6tArjxQ1fTCsuzfF2IgAAAICHUSgDAAAAtGmVlZVOp1OJ+/fvr9VqvZsPAAAAAF8gC+F0OoRgv1QAAAB0NGy9BAAAAA+TZfnYsWO7d+8+cuRIaWlpYGBg3759hw4dOnr06KCgIO/m5nA4jh8/fujQoezs7Ly8PLvdHhERkZiYeOONNw4dOtTf3/+aujp48OC//vWvw4cPl5eXh4WF9e3bd+TIkTfddNM19dOgmpoaNQ4NDfVgz00gy3JeXt6RI0eys7PPnj1bVlam0+liYmJ69+49ePDgQYMGefbar+apGSwuLj548OBPP/2Um5tbUlKi0WgiIyPj4+MHDhyYnJwcFRXVolcBAAAAAAAAAPAWCmUAAADQdEVFRTNmzFDixYsXJyYmFhYWLliwoLCwUG1jtVozMzMzMzNXrlw5Z86cMWPGuOnQbDZPnjxZiWfNmjV27Fj1SzNnzrx06ZIs//fjjG+88YZGU8cSiRkZGTpd7Se6sixv3749PT3dYrG4ni8oKCgoKNixY4dWq33yySfvvPNOSZIavPBTp04tXrzYaDSqZ0pKSkpKSvbt2xcQEPDiiy/+4he/aLCTRnK9lvPnzzenq+bcQ5PJ9PXXX3/66aeVlZWu561Wa05OTk5OztatWyVJmjlzZkpKSp33sI3MoNFo/N///d+srKxa5/Pz8/Pz87///nshRP/+/R9//PHevXu76QcAAAAAAAAA0B5RKAMAAICmk2XZ4XCoh2fOnJkzZ45rJUStxm+99ZbJZBo3bpybPtUO1f2G1POuY109uhvV1dULFizIyclxP+6qVasOHDgwb94899sb7dy5c9myZfV91WKxLFy4cM6cOdHR0Y3JrUEGg0GNL126dPny5cjIyKZ11Zx7OHfu3Pz8fPdtZFlesWLFDz/8sGDBgqsrYNrCDFZUVEyfPr26utr9cCdOnJgzZ87HH38cGBjYmPQAAAAAAAAAAO0FhTIAAADwjGPHjmVkZMiy3K9fvylTpsTHxwcGBsqyXFJSkpGRsWPHDqXZqlWrRowYERYW1mqJWSyW2bNnFxUVKYeRkZFTp04dNGhQaGioJEkWiyUnJ2ft2rW5ublCiKysrKVLl86dO7e+3o4dO+ZaJXPrrbc+8MADXbt21Wg0ZrP5zJkza9asyc3NXbp06f333++R/P38/Pr163fy5EnlcMmSJa+99lpwcLBHOr9WsbGxd999d//+/SMiIpQiEofDUV5enpmZuW7dOrPZLIT48ccfN27c+Mgjj3hqUA/O4KJFi9QqmREjRkycOLF79+5BQUGSJDmdzqqqKmVRGfW/KwAAAAAAAACgg6FQBgAAAJ6xadMmIcSUKVPuv/9+de8bSZKioqLS0tJ69uy5du1a5eTmzZsfe+yxa+1/9erVQogrV65MmTJFOfPcc8+NHj26wQcuW7ZMrbEYP378E0884brciF6vHzRo0DvvvLNy5cqvvvpKCLF3795x48YlJiZe3ZXD4Xj11VfVw/nz5w8bNkw9DAwMTExMfOedd5YtW/btt99u3rz5Wq+xPr/5zW8WLFigxOfPn//tb387ceLEsWPHRkdHN2ajKFWT76EQYvDgwS+++GJMTEyt8zqdLjIy8q677rrtttsWLFhw4sQJIURGRsaECRPCw8M9MrqnZvDixYtnzpxR4t/85jcPPfSQ61e1Wq3BYDAYDAMHDkxNTf38888bTAwAAAAAAAAA0O7UXg4dAAAAaLKxY8c+8MADdZZuTJgwQd0waMeOHfVtz9Qg1w19rt7c52pnzpzZs2ePEg8bNmz69Ol1bsqj0WjS0tLi4uKUw7fffrvODHfu3GkymZQ4NTXVtUrGtavZs2fHx8c3mFvj3XjjjSNGjFAPHQ5HRkbGU089NXHixFdeeeUf//jHiRMnjEZjI3u71nuoSE1NvbpKxlVAQMDLL78cEBCgHG7fvt0jo3twBk+fPq3G7tf7CQwMnDRpEvsuAQAAAAAAAEDHw4oyAAAA8Bg368RIkjRx4kRlTRGz2VxWVhYREdEKKX344YdqPHv2bDfrr0iSNGvWrDlz5gghLl++fOHChR49etRq89FHHylBYGDg3Xff7aartLQ0pStPmTt37po1a7Zt2+Z60uFwZGZmZmZmKoedO3dOSUkZO3ZsVFSUB4duvKCgoIkTJyprC23fvn3y5MnN79ODM1haWqoEer3ez8+v+bkJIc6dO1drZZqrXX/99UKI6urqkpISjwzagVksFovF4u0s4AVOp5NvEF+jbM7o7SzgHVeuXPF2Ch1fZWWlt1O4Ng6Ho9aZJhfWq2w2W52xB9lsViVwOBx1lHLDhd1ua9qfImw2W3V5uaylhL3dqKmpqamp8XYW8AK73c6zO1/jcDiYdJ9VVlbm7RTQ2trCpFdXVyuB0+lsfm+sKAMAAADPSE5ODgkJcdOgf//+atw6T6xramqysrKU+JZbbnGfnhAiISFBXUTkhx9+qPXV0tJStdLivvvuq3NdE9euQkNDm5J0PbRa7VNPPbVs2bLk5OT62pSUlHz44YePP/744sWLvfXXETW98vJys9nczN48O4Pqw81ms7oyUPM5G+KpgQAAAAAAAAAAzUehDAAAADxj6NCh7hsYDAY1bp1PEp8/f16NR48e3WB7SZISExOV+OTJk256GzJkSINd/fKXv2xUltciLi5u0aJF69evf/bZZ4cNG1ZfsU5WVtaUKVOys7M9nkCDXGe5oqKimb15dgZ79+6txn/+85/VjyAAAAAAAAAAAHwHWy8BAADAM7p27eq+gb+/vxpbrdYWTkcIIS5cuKDGPXv2bMxDevTooexkdOrUqVpfKigoUOPG7G3Uq1evRmV57QwGw5gxY8aMGSPLstFoLCgoOH78+M6dOy9evKi2cTqdL7zwwtq1a7t06eLBoWVZzs/PP3bs2PHjxy9evFhYWFhroxzXBVQqKyubObpnZzAuLq579+7KXTp8+PBDDz00atSocePG9erVKygoqDl5AgAAAAAAAADaCwplAAAA4BkBAQHeTqG2/Px8NX766ac1Go0QQpZl5V81EEI4nU4lcDgcSnuj0SjLsiRJag+XLl1S48bUVXTu3NkjV+GGJEmhoaGhoaH9+vW7//77CwsL//KXv/z4449qg9dee+3tt9/21HAHDhxYvXp1cXFxI9s3vxzKszMoSdKiRYtmzZpVU1OjnNm7d+/evXuFEBEREcOGDRs6dGj//v2Dg4Mbn2GnTp2efvpp922++eYbIYSfn9819exrrFarzWbT6XRt8CcJWogy6UosSRL1ar7D4XCYzWYm3acok64eBgYGKr/T0XL0er23U7g2Gknj+L9nXJ/FNY3r4ovud01t+hAarRAOIYRG09xsOzyNpolToNVqAwMDJZ5Itwdms9nhcPj5+bl+SAYdm8VisdvtSqzRaNStkNHh2e12i8XCpPsUZdLVw6CgoOY/W0O7IMuysix3x5t0CmUAAAB8i1pG4PHGbZBaDyGEcP3zTNO4ln005q87rf/3/q5duy5cuHDdunWbN29Wzpw7d66goCA6Orr5na9Zs+bLL79sfj/XxLMzKISIiop6//3309PTv/rqK9fzpaWl27Zt27ZtmxBiyJAhjz76aCMXsAkLC5syZYr7Nvv27RNC+Pn58f6RGw6Hw2az/NbAUwAAIABJREFUKX8I8XYuaCVOp9O1UIap9x1Wq1X5kc6k+w6bzeb6ezwgIECn4z3JltXu/kottUChiesz9haqzdJofy6UkSRqvxrQ5CnQaDR6vV7Dr4z2wGazORwOnU7Hr3jfYbfbKZTxTWaz2WKx8DrOp1gsFtdCGb1eT+27j3A6nUqhTFuYdHUtc49kwotSAACAjs/1TxEmk6nxD3Rt7Ofn58mcWoVn/wbj+vcGp9PZ4MdSa+1J1GoeeeSRb7/9try8XDnMzs5ufqHMrl271CoZjUYzYcKEESNGREdHBwcH63Q6SZLUzxMUFBTMmDGjmcOpWuKvaEFBQb/73e9SU1N/+umnffv2ZWZm1pqprKysrKysiRMnTp06tYN9TgIAAAAAAAAAQKEMAABAx2cwGNTYdf+gBhUUFKhxWFiYJ3NqFV26dFHjTZs2NXPjG9feqqurXe9qnUpLS5szXJNpNJrx48dv3LhROfz3v//dzA4dDsfq1auVODQ0dPny5eHh4W4aN3M4V56dQVdBQUEjR44cOXKkLMtXrlw5d+7cnj17vv/+ezX/v//97z179hw7dqynRgQAAAAAAAAAtAWsiQQAANDxderUSY3PnDnT+AeePn26zk7ai+uvv16NL1++3MzeunfvrsbFxcUNtj937lwzR2yymJgYNXbdvahpCgoK1LWFnn76aTdVMkKIoqKiZg7nyrMzWCdJksLDwwcPHvzMM89kZGSkpqaqX1qzZo26nicAAAAAAAAAoGOgUAYAAKDjCwwMDAoKUuLS0tKqqqrGPMpoNKrb9+j1erWHtkOWZfcN4uLi1PjgwYPNHM61tx9//LHB9t99910zR2wy1yl2v/JNg/dQCHHhwgU17tevn/vG13SfW3kGG6TT6e67776UlBTlsLq6uqysrKUHBQAAAAAAAAC0JgplAAAAOj5JksaPH68e/vDDD4151L59+9R4/PjxkiR5PrNrp9H89xms3W5339hgMPTv31+JP/nkkwbbu9e5c2d1MZUtW7a432PozJkzFRUVzRmuOQ4cOKDGffr0qfXVa7qHQgiLxaLGWq3WfcsdO3a4782LM9hII0eOVGOj0dgKIwIAAAAAAAAAWg2FMgAAAD7h1ltvVeP333/farW6b2+xWP72t7/V+XDv0uv1atyYvXimTJmiBDU1NWvXrm3m6JMmTVKC6urq7du319dMluWVK1c2cyxVdXX1Z599ZrPZGtm+oKAgMzNTPbx6DZhrvYedO3dW47y8PDct09PTG6xl8e4MNobrKjLXXXddK4wIAAAAAAAAAGg1FMoAAAD4hO7du6vFLlVVVS+//HJ1dXV9jaurq1966SW1wa9+9asePXq0RpaNoNPpgoODldh13ZT63HDDDaNGjVLibdu2paenu18JRghRUlKyfv16k8l09ZdSUlLULahWr1596NChq9soVTJnzpxpMLfGS09Pnzx58ubNm93MmqKwsHDu3Lnq4YgRI9RVcFTXeg9jY2PV+N13362zFEaW5Y8//njbtm0N9ubFGfzkk0+OHj3q/uE1NTXr169XYr1e71okBAAAAAAAAADoACiUAQAA8BXTp09XayaOHz/+6KOPbtmypbCwUF2qxGazFRUVbdmy5dFHHz158qRy0mAwzJgxwzsZ12Ps2LFKcPLkyS+++MJoNMqy7Kb97Nmzu3XrpsSfffbZI488snXr1sLCQnVZHafTaTKZcnNzt2/f/swzz6SmpmZkZDidzqu70ul0L774onr48ssvr1q1qrCwUGlstVpPnDgxZ84cZfuhe++91xOX+zOr1bpu3bqHHnrolVde2bt378WLF81ms/IlWZarq6tPnjz59ttvP/nkk5WVlcr5kJCQ2bNn19nbNd3DkJCQm2++WYnz8/PT0tIOHz6sjl5dXX348OE5c+Zs3LhRCPHAAw80eC3emsGzZ8/Omzdv0qRJa9asOXz4cFlZmfqf3+FwlJeX79q168knnywvL1dOzpgxo43sOAYAAAC0vrCQ7lPu/SAqoq+3EwEAAAA8TOftBAAAANBK9Hr9smXLnn/++YKCAiGE2Wx+//3333//fTcP6dat2+uvvx4YGNhaOTbKfffd98UXXyjx2rVrle14NBqNWtOQkZGh0/33iW5AQMA777yzZMmSo0ePCiGqqqpWr17d5NGTkpKeeuqpVatWKYfbtm2rcxmVWbNmxcXF/eMf/2jyQPXJzMx03VmpPuHh4W+99Za6/k0t13oPZ82adfjw4aqqKiHEpUuXXnrppTq7TUtLS0pK+vTTT93n5t0ZtFqtX3755Zdffum+2R133PGrX/2qyaMAAAAAAAAAANomVpQBAADwIQaDYeXKlTNnzvT393ffUqfTTZ8+fdWqVWFhYa2TW+NFRkY+//zztZb6cDqdjv+4+iF6vf6VV16ZP3++wWBw37kkSSkpKcuXLw8JCamvzbhx41577TV1/6BadDrdvHnzbr/99kZcSqMEBQWlp6enpqZ27969Me0DAwOfeOKJ9957LzIysr4213oPg4KCVq1a1adPn/o61Ov1CxcuvOOOOxqToddn0L2QkJDnnntu5syZLCcDAAAAAAAAAB0PK8oAAAD4Fo1Gc+edd6akpJw9ezYrK+vcuXNnz569cuWKLMthYWG9evXq1avX4MGDExISNJq2W1R98803f/TRR//6178OHDhw/vz5wsJCu93u/iGSJA0bNuyDDz7Iy8s7cODA6dOnc3Jyrly5IoSIiorq0aNHr169Bg0a1KdPHz8/vwYTuOGGGzZs2HDgwIF//etfhw4dunLlSlhYWO/evUeNGjV8+HC9Xu+Z6/yPzp0733fffffdd5/RaDx9+vSpU6fOnz9/4cKFoqIim82m1+u7desWExOTkJCQlJTUs2dPrVbbYJ/Xeg8NBsObb755+vTpXbt2HTt2LD8/XwgRFRU1YMCAESNGJCcnN+a+NXl04YkZnDt37uXLl/Py8s6fP//vf//70qVLly9frqmpcTqdBoOhZ8+eAwYMSE5O7tOnT1v+zw8AAAAAAAAAaA5JlmVv5wAAAAAAHdb06dMPHjw4c+bM1NRUb+fSdlVVVZnN5oCAgCYvBYR2x2Qy1dTUKLFGo+nUqZN380GrsVqtlZWVkiRFRER4Oxe0EpvNVlFRoR6GhYW57rGIlmAprSw/+m9vZyGEEMrUBwcHu5/04FBtrUJlSSvpBoQ3Z2iLU2O2/7xAoNmpqbE7m9NbnawWncWsEULonCKgyurx/tupXwy9vsb886/4l16cvXjBHCGEsDvl/5y8NhYhRV4v/AM8lyBaSmVlpdVqDQwMrG/5VXQ8RqPRYrEosU6na4NrEqOFmM3mqqoqrVYbHt6sX9ZoRywWi9FoVA87derEx8x8hNPpLCsrE21j0k0m0y233CKE+OSTT+Lj45vZGy9KAQAAAAAAAKDjCIgI7frLJG9nIYQQupISIYTBYLim1Qc9wl8rQlp7TAghhKT57wamsjZE6Hv8fP46LyUEAAAAXIVSLwAAAAAAAAAAAAAAAPgEVpQBAABAu1ddXZ2dnX3s2LFTp04VFRVduXLFz88vIiKid+/e8fHxAwcOvP76672+MiQAAADgxrkPv7FeqWrlQTt3D9LK9pbrv6aqSgghAgO1Wm3LjdJRXdfZro0MlfwczexHCgu3BwZY/eQm91Bt96+wylV2Xbml4WSc8n8HOn+27Jttpxp8SEVUsMNlHZqWEB2qv7kXW/4BAADgZxTKAAAAoB3Lz89ft25dZmZmrfN2u/3ChQsXLlz47rvvhBABAQGTJk2aMGGCXq/3RpoAAABAAw4t/qAy50IrD3rzgwn2wqKWHsXY0gN0ULFD7frbhoma883sR75hqKVLZKVc2uQeTLYeP5WWX7F2OXC5uMHGdtmpxscOFX5QXfvF2tXyb+5R4XQ22Kw5xiR0plAGAAAAKj5WCwAAgHbJZrMtW7YsLS3t6iqZq1kslg8++GDy5Mlbt26V5aZ/khIAAAAAAAAAALRrrCgDAACA9sdoND733HMFBQXqma5duz700EN9+vTp3LlzQECAEMJut1dUVJw5c+arr77KysoSQjgcjtWrV8fFxd1www1eSx0AAAAAAAAAAHgPhTIAAABoZ2pqap5++unS0p9XDg8KCpo/f/4NN9wgSf9nV3s/P7/OnTt37tx5+PDh5eXl77333p49e7yRLwAAAAAAAAAAaCvYegkAAADtiSzLr7zyilolEx8fn56ePnDgwFpVMrWEh4c/99xzixYt8vf3b5U0AQAAAKAdyzl5KTYsLfP/nfF2IgAAAIDnUSgDAACA9mT37t1Hjx5V4tDQ0D//+c9BQUGNfGxycvLatWuDg4NbLDsAAAAA6AhkWbbZHLLs7TwAAACAFsDWSwAAAGg37Hb7ihUr1MO5c+fq9fpr6iE8PDw8PNzTeQEAAAAAAAAAgPaBQhkAAAC0G/v37zebzUocFxeXmJjo2f5lWc7Lyzty5Eh2dvbZs2fLysp0Ol1MTEzv3r0HDx48aNCgJu/c5HA4Dh06tHv37hMnTpSWlhoMhgEDBtx+++1JSUlXbxpVVlb2/fffZ2Zm5ubm2my266+/fujQoSkpKQaD4VoHPX78+KFDh7Kzs/Py8ux2e0RERGJi4o033jh06NAmXIvD4Th69Oi+ffuys7OLi4vtdvuAAQNeffXVq1tevnx53759J06cOHnypMlk0uv1ffr0GTBgwMiRI6Ojo691XM/2JoSQZfnYsWO7d+8+cuRIaWlpYGBg3759hw4dOnr06MYvUAQAAAAAAAAAaI8olAEAAEC78Y9//EONH3rooatLTJrMZDJ9/fXXn376aWVlpet5q9Wak5OTk5OzdetWSZJmzpyZkpLiftyioqIZM2Yo8eLFixMTE8+dO7dgwQLXnktLS/fs2bNnz57Y2Ng//elPISEhynmHw/Hee+9t3brVtcOTJ0+ePHly/fr1s2bNuv322xtzObIsb9++PT093WKxuJ4vKCgoKCjYsWOHVqt98skn77zzzvqu5eqryMnJWbx4ca37Y7PZaj2woqLijTfeULfHUlit1qysrKysrA8++CA+Pv6Pf/xjVFRUYy6k+b1dfSGFhYULFiwoLCx07TAzMzMzM3PlypVz5swZM2ZMY3IDAAAAAAAAALRHGm8nAAAAADSK1Wo9efKkeujZ5WTmzp2bnp5eqwqkFlmWV6xYsWjRIqfT6b6Z4z+EEEePHn3mmWfq6zk3N3f27NlWq1UIYbfbn3/++VpVMq6WL1/+9ddfN3gt1dXVzz333KpVq2pVybhyOByrVq1asmSJkmSDV5GVlfXss8+6vz9CiKNHjz766KO16lpqOXfu3OOPP75v374GL8QjvdW6kDNnzkyfPt21SqZW47feemvbtm0N5gYAAAAAAAAAaKdYUQYAAADtQ0FBgRqHh4erq7B4UGxs7N13392/f/+IiIjAwEAhhMPhKC8vz8zMXLdunbLr048//rhx48ZHHnmkMR3+9NNPmzdvFkIMGTLk4Ycf7tGjh5+fn81mO3fu3Ntvv61cUUlJyV//+tennnpq6dKlOTk5AQEBqampw4cPNxgMkiRVVlZu375948aNSofLly8fMWLEddddV9+IFotl9uzZRUVFymFkZOTUqVMHDRoUGhoqSZLFYsnJyVm7dm1ubq4QIisra+nSpXPnznV/FQcPHtyyZYsQIiEh4dFHH01ISAgMDJRlubi42LVC5fz58/PmzVMPk5KSpkyZEhsb6+fnZ7fbL168uHHjxv379ytfff3115csWZKUlFTfoJ7tTXHs2LGMjAxZlvv16zdlypT4+HjlQkpKSjIyMnbs2KE0W7Vq1YgRI8LCwtz3BgAAAAAAAABoj1hRBgAAAO3DhQsX1LhXr16e7Xzw4MErV65cvnx5SkpKjx49goKCJEmSJEmn00VGRt51113r16/v37+/0jgjI6O8vLwx3WZkZDidzhkzZixYsKBXr17+/v6SJPn7+/fr12/ZsmXqhkHbtm3btGnTvn37oqOj09PTx40bFx4ertFoJEkyGAyTJk2aM2eO2ucXX3zhZsRly5apVTLjx49fs2bNmDFjwsLClN70ev2gQYPeeeedlJQUpc3evXvdL9kihPj73/8uy/J99923dOnSQYMGKTdHo9F07dr1/vvvV9o4HI5FixapD5k2bdqSJUt69+6tXLKfn19cXNy8efN+97vfqW1effVVZSmdq3m2N9WmTZvsdvuUKVNef/31gQMHqhcSFRWVlpb2xBNPqC2V8iYAAAAAAAAAQMfDijIAAABoHy5fvqzGPXv29Gznqamp7hsEBAS8/PLLU6dOVfYz2r59++TJkxvT87hx48aPH3/1eX9//5kzZy5cuFA53LRpkxDitddeq3OlnDFjxmzYsEGpgPnnP/9Z39BnzpzZs2ePEg8bNmz69OmSJF3dTKPRpKWl5eTknD9/Xgjx9ttvv/fee3W2VCUlJU2bNs1Nm2+//ba0tFSJ77jjjl//+td1NktJSSkqKsrIyBBCmM3mzZs313ktnu3N1dixYx944IE6vzRhwoTPPvtM+W+2Y8eO1NRU9/dEUVxcvGrVKvdtqqurhRBWq7WqqqrBDn2WzWYTQtjtdu6S77Db7WosyzJT7zvUHQyZdN9Ra9vK6upqjYYP79XB/f6eLUSWvTAoGkmWZafDqW12P06n0+FwCL+m96BsY+pw1r1ta/PJQm6hnlU8z2wFyv8Tm83GrfYdrk/pnU4nU+87lO93Xsf5lFq7t5tMpsa8b4YOQJZ/fp7WFiZdeZdVeOilE4UyAAAAaB8qKirUOCIiovUTCAoKmjhxolLR0vhCmalTp9b3pYEDB7oeTpw4MTw8vM6WkiTddddd6enpQoiKigqj0VhnPc2HH36oxrNnz3bz0kWSpFmzZikL1Vy+fPnChQs9evRwcxUzZsxw/0Loo48+UuNp06a5aTlp0qQtW7Yo76Zt3rx50qRJV/+pzLO9uXrsscfq+5IkSRMnTly9erUQwmw2l5WVNea/WVVVlfs1fsR/FkCy2+3K7l1ww+Fw1HrnBT5ClmW+QXwNk+7LGlwEzmep70F3+EHReE6nBwplZKcsN+9vCcqfIpyOdlxW5XQ6+b3TOux2u2vxBHwH32U+iEn3ZconCeFT2sKke/ZnDp/eAAAAQPugLDih0Om8U/CdnJysBOXl5Y15Xj5kyJCgoKD6vurv79+lSxf18NZbb3XTVZ8+fdT4ypUrVzeoqanJyspS4ltuuaXOShpXCQkJgYGBSvzDDz+4aRkVFdW9e3c3DUpKStT1fsaOHevmkoUQ/v7+99xzjxJbrVZlVZuW681VcnKy+9ui7q4lhCgrK3PTEgAAAAAAAADQTlEoAwAAgPbBz++/a4V76wNqBoNBjV1XuKnP4MGD3TeIjo5W427dujVy6DoLZVxrREaPHt1gbpIkJSYmKvHJkyfdtGywt7y8PDUeNWpUg0MPHz5cjc+cOdOivbkaOnSo+64avMkAAAAAAAAAgPaOrZcAAADQPoSGhqpxeXl5Swwhy3J+fv6xY8eOHz9+8eLFwsLCWktKuu5+WllZ6boeTJ0abKAulxIQEOB+mZyAgAA1dl1cR3XhwgU17tmzp/txFT169MjMzBRCnDp1yn0z9/1cvHhRjV1Lf+rTtWtXNc7NzW3R3uprWSd/f381buSuEP7+/srOSm5otVohhCRJSoA6OZ1OWZYlSXK/eRY6EmXS1UO+QXyHLMvK71Mm3Xeok67QaDRe39seLpiLNs0z3yuSaOZESz8n047/t/BsvBXwlN4H8ZTeZ/GU3gfxlN6XKfukt4Xvd8/mQKEMAAAA2ofIyEg1dl10xFMOHDiwevXq4uLiRrZvTCGFa3VLndQ3EPV6fSPHrU9+fr4aP/3000rPyjtWsiyrgXB5J0t5kSOEMBqNyhuadfYcHh7ufuhLly6psWs9U32Cg4PV2LUspiV6c9XgdDRBTEzMxx9/7L7N9OnThRCBgYEN3klfVlVVZTab/f39G9w1DB2GyWSqqalRYo1GwzeI77BarZWVlZIkMem+w2azuS7FFxoa6q1tNNs4r7z1rNFonA23gndIkqTV6UQdRfLXRqvV6vya9U2n8/MTLbkBriQkIeSG2zWDn58fv3daWmVlpdVq1ev1rq/R0LEZjUb180U6nS4sLMy7+aDVmM3mqqoqrVbLj1bfYbFYjEajehgWFkZZpI9wOp3KDvUGg8Hrk65+ytEjmfCiFAAAAO1D9+7d1fjs2bOe7XzNmjVffvmlZ/u8Js1/cq/+vVkIYTabm9mbqwbfEHdd4aYx7567XmytNXs83hsAAAAAAAAAAK4olAEAAED74LoLT2lpqdFo9NTKE7t27VKrZDQazYQJE0aMGBEdHR0cHKzT6SRJUpdaKSgomDFjhkcG9TgvfjLbz89PjdVVatxwXan16lVePNsbAAAAAAAAAACuKJQBAABA+6DX6xMSEs6cOaMcHj9+fPjw4c3v1uFwrF69WolDQ0OXL1/uZtnYxtRteEuXLl3UeNOmTa252LXr0EajscGhTSaTGrvWP7VEbwAAAAAAAAAAuGLzMAAAALQbv/71r9X4o48+kmUPbGNfUFCgVlo8/fTT7jdXLioqav6ILeT6669X48uXL7fm0DExMWpcUFDQYHvX2xgbG9uivQEAAAAAAAAA4IpCGQAAALQbw4cPV/fWOXfuXHZ2dvP7vHDhghr369fPfeODBw82f8QWEhcXp8atnGfPnj3V+IcffmiwfWZmphr36tWrRXsDAAAAAAAAAMAVhTIAAABoN/z8/KZPn64evvHGGxaL5Zp6qKioyMvLcz3j2oNWq3XzWIvFsmPHjmsarjUZDIb+/fsr8SeffGK321tt6MjIyM6dOyvxV199ZTab3TS22Wyff/65Evv7+8fHx7dobwAAAAAAAAAAuKJQBgAAAO3Jrbfeqq77Ul5ePm/ePPeFFK6OHj36xBNPGI1G15NqTYYQolYNTS3p6emtWX3SBFOmTFGCmpqatWvXtubQkyZNUgJZlj/88EM3Lbds2aIWJ917770aTR0vSTzbGwAAAAAAAAAAKt5HBgAAQHsiSdLChQsNBoNymJOT89hjj+Xk5Lh/lNFoXLZsWZ1VNbGxsWr87rvv1lkKI8vyxx9/vG3btubl3uJuuOGGUaNGKfG2bdvS09MdDof7h5SUlKxfv95kMjVz6Ntuuy08PFyJP/vss/qW3tm9e/eGDRuUOCAg4MEHH2yF3gAAAABcq779owtMf7np5gRvJwIAAAB4HoUyAAAAaGeCgoLefffdLl26KIdGo/HZZ59NS0vbs2dPYWGhzWZTzjscjoqKikOHDr355psPP/zwzp076+wtJCTk5ptvVuL8/Py0tLTDhw+r9TTV1dWHDx+eM2fOxo0bhRAPPPBAy15bs82ePbtbt25K/Nlnnz3yyCNbt24tLCy0Wq3KSafTaTKZcnNzt2/f/swzz6SmpmZkZDidzmaOq9VqX3rpJfVwxYoVr776am5urlJ45HA4Lly4sHTp0rfeektt88ILL+j1+lboDQAAAAAAAAAAlc7bCQAAAADXzGAwrFixYsWKFd99951yJj8//80333T/KI1GM23atP79+9c6P2vWrMOHD1dVVQkhLl265Fqi4SotLS0pKenTTz9tdvotKCAg4J133lmyZMnRo0eFEFVVVatXr26doRMSEhYtWrRo0SKl7Gb//v379++vr/Ef/vCHwYMHt1pvAAAAAAAAAAAoWFEGAAAA7ZK/v//vf//7ZcuWJScnN9hYp9P99re//eijj+69916NpvZz4KCgoFWrVvXp06e+h+v1+oULF95xxx3NTbpV6PX6V155Zf78+eoGVfWRJCklJWX58uUhISEeGTo5Ofn999/v16+fmzY9e/Zcs2bNL3/5y1buDQAAAAAAAAAAwYoyAAAAaNfi4uIWLVpkNBpPnDhx9OjRU6dOFRUVXblyxc/PLyIionfv3vHx8YmJifHx8Vqt1k0/BoPhzTffPH369K5du44dO5afny+EiIqKGjBgwIgRI5KTk/38/FrrmjxAkqRhw4Z98MEHeXl5Bw4cOH36dE5OzpUrV4QQUVFRPXr06NWr16BBg/r06ePx6woPD3/jjTeKi4v37t2bnZ194sSJqqqqoKCgvn37DhgwYOTIkTExMd7qDQAAoC2Lu39MTWFZKw8aPDBMsphbrn9lS1N/f/+rq9XRIF2cXUR0lbTNfcYrhcT46a4L0nVucg8OZ0hcSKcKq95Pc12DjddJkv0/cUxc2OhbezX4kMu9OlmF3OT0GqNvF898NgAAAAAdgyTLLfsEFAAAAAB82fTp0w8ePDhz5szU1FRv59J2VVVVmc3mgIAAT61vhLbPZDLV1NQosUaj6dSpk3fzQauxWq2VlZWSJEVERHg7F7QSm81WUVGhHoaFhel0fHjPV5SUlAghDAZD+6o7R3MEBwdXV1cr8fz585csWeLdfNBqKisrrVZrYGBgcHCwt3NBKzEajRaLRYl1Ol1YWJh380GrMZvNVVVVWq02PDzc27mglVgsFqPRqB526tSJMmgf4XQ6y8rKRNuYdJPJdMsttwghPvnkk/j4+Gb2xv9gAAAAAAAAAAAAAAAA+AQ+vQEAAABACCHMZvPkyZOVeNasWWPHju14IwIAAHiF0+5wmK3ezsIL7CazEMKm9Rd+diGELEmy3vvvSDtlWXa2/idIZY2z1cf0NqfstDvtDTaThKx1ev7uyA5ZblyvmoAAoZE8ngAAAADaLO+/LAEAAABaweTJk81m89XnJUkKCAgIDg7u1q1bdHR0TExMQkJCbGxsUFBQ6yfpdQ6HQwmcLfA+dRsZEQAAoPVd2vnjV+Nf8HYW3qe77Ya9Lw33dhYi1E//7fetvT9IpJ+2y+68Vh7UK6wWhxqfNZ367PzHDT7ebPYJAAAgAElEQVQkShcy6uBnHs/E7nf9mTcPNqZl74z3/KI6ezwBAAAAtFkUygAAAMAnOBwOtSajFrvdbjKZiouLDx8+rJ6Mj49/8MEHb7rpJp2O58wAAAAAAAAAAHQQrb/CJAAAANAOnDt37vXXX//tb3+7d+9eWZa9nQ4AAAAAAAAAAPAAPh0LAAAAn7NlyxatVqseyrLsdDpNJlN5efnp06e3b9+ek5OjfKm6uvqNN94YNmzY888/7+fn56V8AQAAAAAAAACAZ1AoAwAAAJ8jSVKtQ61WGxoaGhoaGhsbe9ttt125cuX999//7rvvlAaZmZnz58//05/+5Fpe0/Ho9frPP/+8Y48IAAAAoDEqjBe/2DU/ZeSLURF9vJ0LAAAA4GFsvQQAAADUFhYW9vvf//7ll19Wz5w4cSI9Pd2LKQEAAABAq5GFcDodQrALLQAAADogCmUAAACAug0ePHj+/Pnq4RdffJGfn+/FfAAAAAAAAAAAQDOx9RIAAABQr2HDht1000379+9XDv/6178uXLiwwUddvnx53759J06cOHnypMlk0uv1ffr0GTBgwMiRI6Ojo5uQhsPhOHTo0O7du0+cOFFaWmowGAYMGHD77bcnJSXV2kZKCFFWVvb9999nZmbm5ubabLbrr79+6NChKSkpBoOhCUM3SJblY8eO7d69+8iRI6WlpYGBgX379h06dOjo0aODgoI8O5bT6Tx16tRPP/108uTJs2fPms3mkJCQhISEG2+88aabburcuXODqebl5R05ciQ7O/vs2bNlZWU6nS4mJqZ3796DBw8eNGiQv7+/ZxMGAAAAAAAAALQ1FMoAAAAA7jzxxBNqocyPP/5oNBpDQkLqa1xRUfHGG28cPXrU9aTVas3KysrKyvrggw/i4+P/+Mc/RkVF1ddDUVHRjBkzlHjx4sWJiYnnzp1bsGBBZWWl2qa0tHTPnj179uyJjY3905/+pObjcDjee++9rVu3unZ48uTJkydPrl+/ftasWbfffrubKzWbzZMnT1biWbNmjR07tsHcCgsLFyxYUFhY6HqxmZmZmZmZK1eunDNnzpgxY5ozokqW5Z07d7733ns1NTWu50tLS0tLS/fv37969eohQ4Y8+eSTXbt2vfrhJpPp66+//vTTT11vo5JtTk5OTk7O1q1bJUmaOXNmSkrK1bVHAAAAAAAAAIAOg62XAAAAAHeioqK6dOmiHh45cqS+lkePHn300UdrVcnUcu7cuccff3zfvn31NZBl2fEfSp/PPPNMrfIOVW5u7uzZs61WqxDCbrc///zztapkXC1fvvzrr792k5sQQh3a6XQ2mNuZM2emT5/uWiVTq/Fbb721bdu25oyoMJlMc+bMWb58ea0qmVqysrKefPLJOr80d+7c9PT0+m6jmvCKFSsWLVrkJhMAAAAAAAAAQHvHijIAAABAA8aNG/e3v/1NiQ8ePHjzzTdf3eb8+fPz5s1TD5OSkqZMmRIbG+vn52e32y9evLhx40Z1ZZrXX399yZIlSUlJ7sf96aefNm/eLIQYMmTIww8/3KNHDz8/P5vNdu7cubfffrugoEAIUVJS8te//vWpp55aunRpTk5OQEBAamrq8OHDDQaDJEmVlZXbt2/fuHGj0uHy5ctHjBhx3XXXNfeOCHHs2LGMjAxZlvv16zdlypT4+PjAwEBZlktKSjIyMnbs2KE0W7Vq1YgRI8LCwpo8UE1NzaxZs0pKSpRDvV7/P//zP6NGjYqIiNDpdLIsG43GvLy8r7/+eteuXe67io2Nvfvuu/v37x8REREYGCiEcDgc5eXlmZmZ69atM5vNQogff/xx48aNjzzySJMTBgAAAAAAAAC0ZRTKAAAAAA3o3bu3Gp84ceLqBg6HY9GiRerhtGnTfv3rX6uHfn5+cXFx8+bN++qrr959913l5KuvvrphwwZ/f38342ZkZAghZsyYMX78ePWkv79/v379li1bNnPmzOLiYiHEtm3bwsLC9u3bFx0d/eabb7ruDGUwGCZNmtS1a9elS5cqZ7744gt1t6Pm2LRpkxBiypQp999/v7pXkSRJUVFRaWlpPXv2XLt2rXJy8+bNjz32WJMHWrp0qVolk5SU9OKLLwYFBalflSTJYDAkJiYmJiY+9thjH374YZ2dDB48+MUXX4yJial1XqfTRUZG3nXXXbfddtuCBQuUyc3IyJgwYUJ4eHiTcwYAAAAAAAAAtFkUygAAAAANiIyMVOOLFy/KsqyWhii+/fbb0tJSJb7jjjtcq2RcpaSkFBUVKeUvZrN58+bNDdasjBs3zrVKRuXv7z9z5syFCxcqh0rZymuvveZaJaMaM2bMhg0bioqKhBD//Oc/PVIoI4QYO3bsAw88UOeXJkyY8Nlnn12+fFkIsWPHjtTU1Fp3rJGOHTuWmZmpxAkJCQsXLtRqtfU1NhgMTz31VJ1fSk1NdT9QQEDAyy+/PHXqVIvFIoTYvn17I+9STU3N8ePH3bex2WxCCIfDoQSok7LjldPp5C75jlrbnDH1vkPZv08w6b7EbrfXOpRl2VvJeEutm+CzZNEmpt73/gO2dS30M6Hx3drtdsFvpWZTbjhP6X2K61N6WZaZet+hPKVn0n2K+jpOYbPZNBqNt5JBa1KfUNnt9qa9wetB6s8cjzx7pFAGAAAAaEBoaKjrod1u9/Pzcz3z0UcfqfG0adPcdDVp0qQtW7YofynZvHnzpEmT3L+qnDp1an1fGjhwoOvhxIkT61sERZKku+66Kz09XQhRUVFhNBrrrKe5Vm7WiZEkaeLEiatXrxZCmM3msrKyiIiIJgyhbholhJg7d66bKpnmCwoKmjhxolJy1PhCmUuXLs2YMcN9m169egkhLBZLRUVF8/Ps2Gw2G3fJNzmdTqbe18iyzKT7rKqqKm+n4AXV1dXeTqFNcDrbRImKLDsbbuRptSpE4arW39481m2jC9QqKyu1/vytxDMsFovy8QP4GofDwbM7X8PrOF9mNBq9nQJaW2VlpbdT+O+rKo8UylDqBQAAADRAp/s/75nWehu3pKREWTpFCDF27FjXjYGu5u/vf8899yix1Wo9f/68m8ZDhgxx05u/v3+XLl3Uw1tvvdVNV3369FHjK1euuGnZSMnJye6rbfr376/GZWVlTRjCaDSqi7UkJyd37dq1CZ1ck+TkZCUoLy83m80tPRwAAAAAAAAAoPVRKAMAAAA0wH2Jel5enhqPGjWqwd6GDx+uxmfOnHHTcvDgwe67io6OVuNu3bq5aWkwGNTYI4UyQ4cOdd+g+SO6VhHdfvvtTejhWrnmzIeiAAAAAAAAAKBDYjlBAAAAoAG1lpCptcDMxYsX1di1cqU+riuj5ObmumnpumBMndT1ZgICAmplVUtAQIAae2QD6QbXd/H391djq9XahCFcK5Di4uKa0EMtsizn5+cfO3bs+PHjFy9eLCwsrLUkuOt6+JWVlQ3efwAAAAAAAABAu0OhDAAAANCAWjuwarVa18NLly6pcWhoaIO9BQcHq7Frkc3VXKtb6qTR/LxCpF6vb3Bcz2owt+YrKChQY9e1XprmwIEDq1evLi4ubmT7Rhb3dO/efePGje7bvPnmm0IIvV4fFhbWyNF9UHV1tdVq9fPzc/0GQcdWU1OjFqtpNJrG/PxEx2Cz2UwmkyRJzf/ZjvbCbrdXVVWphyEhIbWeTfmCan7BCSGE0Ggkb6cghBCS5IV11tWn7rhaC/1M0Lr9LIGr0NBQP56rN5vJZLLZbAEBAYGBgd7OBa1EeR2nxFqt1v0GzehIrFZrdXU1r+N8ijLp6mFoaCjPbXyE0+lU3htvC5Pu5+enBJLkgZcVFMoAAAAADbh8+bIad+/evdYTcdcFWtwv66JwfUVRa0WTJvP6q5SW4Fqqor4Kapo1a9Z8+eWXzc6oDgEBAX379nXfRnnfX6PRNOa/h89S/g9zl3xKrR9cTL3vUJfvYtJ9R61dLLVarQ/Ovg/WBtVJEm2kUMbbGeD/8sifOprTrU6n88GfSx6n3HCe0vsU1+8ySZKYet9ht9sFk+5jrl5vu0O+G4mrub6E9/qkqz9zKJQBAAAAWsPp06fV+IYbbqj1VdcajlovGuvkur9PK6zL0n65bt5ks9mavGrOrl271CoZjUYzYcKEESNGREdHBwcH63Q6SZLUV1YFBQUzZsxoZtoAAAAAAAAAgLaMQhkAAACgAdu2bVPjX/ziF7W+2qVLFzU2Go0NbhxjMpnUODo62hMJdkyuN6eysrJpazg7HI7Vq1crcWho6PLly8PDw900bsIQAAAAAAAAAIB2hDWRAAAAAHeKi4uLiorUw0GDBtVqEBMTo8YFBQUNdujaW2xsbLMT7LB69uypxrm5uU3rpKCgQK1Mevrpp91UyYj/OzUAAAAAAAAAgA6JQhkAAADAnb/+9a9qPGTIkOuuu65WA9d6jh9++KHBDjMzM9W4V69ezU6ww4qLi1PjnTt3Nq2TCxcuqHG/fv3cNz548GDTRgEAAAAAAAAAtBcUygAAAAD1OnjwoGvtS2pq6tVtIiMjO3furMRfffWV2Wx206HNZvv888+V2N/fPz4+3nPJdjQhISFqaUtWVlbTlnuxWCxqrNVq3bfcsWNHE4YAAAAAAAAAALQjFMoAAAAAdTty5MjixYvVw3vuucd1lyVXkyZNUgJZlj/88EM3fW7ZskUt3bj33ns1Gp6Qu/PII4+o8dKlS51O57X2oNYwCSHy8vLctExPT7fb7dfaPwAAAAAAAACgfeF9eQAAAKA2o9G4YsWK+fPny7KsnLnhhhvqXE5Gcdttt4WHhyvxZ599Vt/CJLt3796wYYMSBwQEPPjggx7NugNKTEwcMmSIEp88efKVV15xs2CPyWRy3SdLERsbq8bvvvtunaUwsix//PHH27Zt80TKAAAAQEcQFtJ9yr0fREX09XYiAAAAgOdRKAMAAAAIWZZNJtPFixd37949b968hx9+2LXYZciQIYsXL3az+otWq33ppZfUwxUrVrz66qu5ublKWYbD4bhw4cLSpUvfeusttc0LL7yg1+tb5mo6lGeffVYtQsrKypo2bdoXX3xRUlLicDjEfybu1KlTK1asmDx58j/+8Y9aDw8JCbn55puVOD8/Py0t7fDhw2q1TXV19eHDh+fMmbNx40YhxAMPPNBKVwUAAAAAAAAA8BKdtxMAAAAAWtvEiRMlSVJiWZbdbOgTFBSUlpY2atQotX19EhISFi1atGjRIqW3/fv379+/v77Gf/jDHwYPHtyk3H1OUFDQu++++8ILL+Tn5wshTCbT2rVr165d2/geZs2adfjw4aqqKiHEpUuXXEuaXKWlpSUlJX366aceSRsAAAAAAAAA0DaxogwAAAB8jtPpdPxHfVUycXFxc+fOXb9+/ejRoxusklEkJye///77/fr1c9OmZ8+ea9as+eUvf9mEtH1WSEjI8uXLU1NTdTp3hf5JSUkrV668+nxQUNCqVav69OlT3wP1ev3ChQvvuOMOD+QKAAAAAAAAAGjbWFEGAAAAvk6v1wcHB0dHR0dHR3fv3r13797XX399UFBQE7oKDw9/4403iouL9+7dm52dfeLEiaqqqqCgoL59+w4YMGDkyJExMTEez98XaDSa++677+677z58+PBPP/2UnZ2dm5trtVo7derUq1evpKSkm266KSoqqr6HGwyGN9988/Tp07t27Tp27JiyOE1UVNSAAQNGjBiRnJzs5+fXilcDAAB8jyQkLR9ZFJJWo2lcDXoL5yG1fhpaSdJo2sC1tzpJNOKqZSGkFvgGkTSi/v1zAQAA4MskWZa9nQMAAAAAdFjTp08/ePDgzJkzU1NTvZ1L21VVVWU2mwMCAkJCQrydC1qJyWSqqalRYo1G06lTJ+/mg1ZjtVorKyslSYqIiPB2LmglNputoqJCPQwLC3O/Shw6kpKSEiGEwWCgLtl3BAcHV1dXK/H8+fOXLFni3XzQaiorK61Wa2BgYHBwsLdzQSsxGo0Wi0WJdTpdWFiYd/NBqzGbzVVVVVqtNjw83Nu5oJVYLBaj0agedurUSUM1qm9wOp1lZWWibUy6yWS65ZZbhBCffPJJfHx8M3vjfzAAAAAAAAAAAAAAAAB8Ap/eAAAAADoOs9k8efJkJZ41a9bYsWNrNSgqKpoxY4YSL168ODExsVXzawENXjIAAAAAAAAAACoKZQAAAIC2YvLkyWazWYk3b97ctNUsHQ6HEjidzqu/Ksuy2qDDcH/JAAAAbUf55zuqMg95O4vWY7VahRAmnc7r67S76twvQDJX+CfFSk6TckaKiZX9f34m6ZSltSUdcyOJQGfI0dPalh7F5pDVOO/T3d9mv9zSI7Y+3XWBY9a94O0sAAAA0HQUygAAAABthcPh6HhVLAAAAFCZz/zbuOdf3s6itVm8nUAtnfSRovjfck+7MBUoZ+QwraT/uWhGFppDpV29l10L6uHf7bscueF2zeOQ/ztE5an83FN7W3rE1hfQKcTbKQAAAKBZ2lAhPwAAAAAAAAAAAAAAANByKJQBAAAAAAAAAAAAAACAT2DrJQAAAKDj0Ov1n3/+ubezaFU+eMkAAAAAAAAAgCZjRRkAAAAAAAAAAPBf5uLcQ/PuqDp/zNuJAAAAAJ5HoQwAAAAAAAAAAHAhy7LDLmTZ23kAAAAAnsfWSwAAAICvs9lsmZmZ+/btO3XqVHl5eVhYWFJS0k033TR06FCtVntNXTkcjuPHjx86dCg7OzsvL89ut0dERCQmJt54441Dhw719/e/1twcDsfRo0f37duXnZ1dXFxst9sHDBjw6quvXms/QghZlvPy8o4cOZKdnX327NmysjKdThcTE9O7d+/BgwcPGjSoCekBAAAAAAAAANoXCmUAAACAjsNsNk+ePFmJZ82aNXbs2AYfcvTo0VdeeaWmpkY9U1JS8s0333zzzTfBwcHz5s0bOHBgY4aWZXn79u3p6ekWi8X1fEFBQUFBwY4dO7Ra7ZNPPnnnnXdKklRnD0VFRTNmzFDixYsXJyYm5uTkLF68uLKy0rWZzWZzPWzMJZtMpq+//vrTTz+t1ZXVas3JycnJydm6daskSTNnzkxJSakvPQAAAAAAAABAB8DWSwAAAECH4vgPp9PZYOPMzMx58+a5Vsm4MplMf/zjH//5z3822E91dfVzzz23atWqWlUytRJbtWrVkiVLHA5HnQ1kWVaTF0JkZWU9++yztUpb6uvZ/SXPnTs3PT3dfVeyLK9YsWLRokWNuW8AAAAAAAAAgHaKFWUAAAAAH3Xw4MG///3vQoiYmJjp06f36dNHr9c7nc7CwsLNmzfv3LlTafaXv/ylW7duycnJ9fVjsVhmz55dVFSkHEZGRk6dOnXQoEGhoaGSJFkslpycnLVr1+bm5gohsrKyli5dOnfu3AZz27JlixAiISHh0UcfTUhICAwMlGW5uLh43759Tbve2NjYu+++u3///hEREYGBgUIIh8NRXl6emZm5bt06s9kshPjxxx83btz4yCOPNG0IAAAAAAAAAEAbx4oyAAAAgI9SqmRGjx69fPnypKSkwMBASZK0Wm337t2ffvrpBQsWqC1fe+21WhseuVq2bJlaJTN+/Pg1a9aMGTMmLCxMo9FIkqTX6wcNGvTOO++kpKQobfbu3Xv06NEGc5Nl+b777lu6dOmgQYOCgoIkSdJoNF27dr3//vuv9UoHDx68cuXK5cuXp6Sk9OjRQ+lNkiSdThcZGXnXXXetX7++f//+SuOMjIzy8vJrHQIAAAAAAAAA0C5QKAMAAAD4rpiYmDlz5mi12qu/NGTIkCeffFKJzWZzfRswnTlzZs+ePUo8bNiw6dOn19mbRqNJS0uLi4tTDt9++21Zlt3nlpSUNG3aNEmSGncp7qSmpsbExLhpEBAQ8PLLLwcEBCiH27dvb/6gAAAAAAAAAIA2iK2XAAAAAN+Vlpam0dRbPT9u3LgNGzZUV1cLIT7++ON77rnn6rKVDz/8UI1nz57tpq5FkqRZs2bNmTNHCHH58uULFy706NHDTW4zZszwSJVMIwUFBU2cOHHTpk1CiO3bt0+ePLkxj8rLy5sxY4b7NgaDQQhRU1NTVlbW/Dw7KqVwymq1cpd8h2u1nNPpZOp9hzL1siwz6T6rsrLS2yl4k8Vi8XYKEA6HQyuEw+7QuZzxhTfKbXYbfxHwCH6L1cnpdAohzGYzP+h8h+tTervdzveF71Cm3uFwMOm+o9YH3q5cueKtTOAtbWHSlbepxX+edTQTT4sBAAAAH6XX6wcMGOCmgVarnThx4oYNG4QQVVVVhYWF3bp1c21QU1OTlZWlxLfccktISIj7ERMSEgIDA2tqaoQQP/zwg5tCmaioqO7duzfyQjwlOTlZKZQpLy83m816vb7Bh9jt9uLiYvdtlNsiy7JHXsJ1bLIsN7jUEDoqvkF8EJPus3x86vlN1yYwC2g2H/9R5gZP6X0Z3xc+iEn3WUy9D2oLk+7ZHNh6CQAAAP+fvTuPj6JKFz5+qjvpdBKyGRIWgSBLZDFERFBkcYaLIIujIgjRCwouRJiAV0a8ioMI4iiKHxSBATRexYgStgHZRBwEeR3CopAAIWAEAmFLQvb0Xu8fpTU9IelsvdK/7x/5PFV9+tRTVd2d6u6nz4Gf6t+/f51Dttxxxx1qnJubW+3WM2fOqPGAAQPq3KIkSQkJCUqcnZ3toGV9enM6ZegXRUlJifsTAAAAAAAAAAC4GiPKAAAAAH6qc+fOdbZp0aKFGp8/f77arfZr2rVrV5+Ntm3bNiMjQwhx8uRJx83q01uDyLKcl5eXlZV17NixCxcuXLp0qdqQ4PY/SigtLbXfdwAAAAAAAADAjYFCGQAAAMBPxcTE1NkmODhYjS9evFjt1ry8PDWeNm2aRqMRv08ooA64rfy12WzqDNZK+7KyMlmWaxvSJioqqiG7UrcDBw4sX768zmmSVCaTqT7NIiIiHnvsMcdtfvrpJyFEQECA/cFENWaz2WKxaLVanU7n6VzgJspJV2JJkuoz2RluDFar1WQycdL9is1msy9ODQoKUq4Z/FNVAJ/Hep6k0ah/f1tT1ziLNwaN5L9PPafj2v56JpPJarUGBAQEBgZ6Ohe4iXLSlVij0QQFBXk2H7iNxWIxm82cdL+ivI9TF/V6vZ9cPkGWZYPBILzjpDt3ekfemAEAAAB+qj4VCVqtVo2rjb8ihKiqqlJj5S2TswQ49TukFStWfP31107sUBUdHf3CCy84bjN58mQhhE6nCw0NdUUON4by8nKLxRIQEMBR8h8VFRX2hTKcev9hMpmUD1g56f7DbDbbX0UEBwc79x+9byn14333HkqplkYjVVtzw9NqtUI489sFv8WlS42sVqvVag0MDOTg+A+bzWZfKMOp9x8Gg8FsNvNi6FeMRqN9oUxISIifXD7BZrMpn/p61Ul3Sia8MQMAAAD8VH0GTbGfjej6whqf+JZr9+7dapWMRqMZOXJk3759W7duHRoaGhAQIEmS+mOI/Pz85ORkz2UKAAAAAAAAAHA5H/hcGwAAAIArFBQU1NmmsrJSjVu1alXt1hYtWqjx6tWrvfCHRFardfny5UocHh6+ePFiB5M6qb+EAwAAAAAAAADcqLxleBwAAAAAbnb69Ok621y9elWN27RpU+3WW265pcaW3iM/P7+iokKJp02b5qBKRghx+fJltyQFAAAAAAAAAPAYCmUAAAAAP7V3715Zlh23OXz4sBrbl8Uo2rdvr8aHDh1yXmpOc/78eTXu0qWL48beuQsAAAAAAAAAACeiUAYAAADwU1VVVSdPnnTQwGq1rl+/XolDQ0Nbt25drUFERETXrl2VeM2aNRaLxRV5NoXRaFRjrVbruOWOHTtcnxEAAAAAAAAAwJMolAEAAAD815IlS2w2W223fvvtt+Xl5Uo8ZswYSZKubzNhwgQlqKqqWrlypSuSbIrmzZur8blz5xy0TE1N9cJCHwAAAAAAAACAc1EoAwAAAPivs2fPLl68uMZamSNHjixZskSJg4KCRo4cWWMP3bt379+/vxJv27YtNTXVarU63mhBQcGqVasqKiqakHh9xcXFqfGHH35YYymMLMtfffXVtm3b3JAPAAAAAAAAAMCzKJQBAAAA/NQDDzwghNi1a9cLL7xw7Ngxk8kkhLDZbFeuXFmxYsVf//pXteXMmTN1Ol1t/UyfPr1Vq1ZKvHHjxvHjx2/ZsuXSpUtKh0qfFRUVZ8+e3b59+/PPPz9p0qT09HQHI9k4UVhYWL9+/ZQ4Ly9v6tSpR44cMRgMyprKysojR47MmDEjLS1NCDF69Gg3pAQAAAB4P32L9ne8tavZLQmeTgQAAABwvgBPJwAAAACgBqNGjapxqqPr/fd///cjjzzSiE3cfffdXbt2XbBgQW5u7ssvv1xbs6eeeqp3794O+gkKCnr//ffnzZuXmZkphCgvL1++fHkj8nGRlJSUI0eOKHNIXbx40b4AyN7UqVMTExPXrl3r3uwAAAAAAAAAAG7FiDIAAACAN7LZbNb6kWW50Vvp37//nDlzahstJjg4eN68eQ8++GCd/ej1+jfeeOPVV1+NiIhw3FKSpCFDhixevDgsLKwxGTdcSEjIsmXL4uPja2ug1+vnzJkzdOhQ9+QDAAAAAAAAAPAgRpQBAAAA/Nodd9yRlpa2f//+ffv2ZWdnFxcXh4eH9+zZ86677rr77ru1Wm09+5EkqU+fPp999tm5c+cOHDhw6tSpnJyc4uJiIURsbGzbtm07duzYo0eP+Pj4wMBAV+5QDSIiIt55551Tp07t3r07KysrLy9Pyapbt259+/bt2bOn+1MCAAAAAAAAAHgEhTIAAACAt1izZk0Te9Dr9Zs2bXLQoGXLltc3CAoKGjhw4MCBA5u4dSGEJElxcXFxcXGNuG+NudWpzl1WE4uPj3cwrkyjEwAAAKi/yGH/FdKjm6ezcJ+ysjIhRFSdccEAACAASURBVEhISP3Lr91AFykkYZFiQiXNb0MzSuHhIuC3aU+1QjwVHOy57FzIZg288wGXfyPw0OuS8fe47YP97h3zpKu36H4aHXX2AAAAvo1CGQAAAAAAAABwh+CunYO7dvZ0Fu5jLigQQoRFRPjQAH6SEH1CPZ2E67Ry+Ra0kqTGEbe17/DYf7l8kwAAAEADaTydAAAAAAAAAAAAAAAAAOAOjCgDAAAA3FAMBkNSUpISp6SkDBo0yLP5uJq/7S8AAIBzlWSfK8nOc1HnpaWlQoiy0FAPTr0UEa3TCJurt6JvobO1j5S1UrX1Jqu21CwVGFy9fWcyGXSVldV3pP5s8r/jyxfLnJAQAAAA4GwUygAAAMBLJSUlGQz/8YlyampqVFRUPe8+a9as48eP269ZsGBB585+MdC91WpVApvN5V8JeAN/218AAAAn+nXN9z/N+T9PZ+FC/R7tbLl4ydVbaf/n3uU3x1ktFdXWG21tDl0xfnPBlyplbjK1++agqdF3N1n/fU1++F/nnZERAAAA4GRMvQQAAAAvZb3O999/X8/7FhcXZ2ZmVru7S7MFAAAAAAAAAADej0IZAAAA+Iy1a9fKslx3OyF2797t4lx8WGlp6cO/+3//7/95Oh0AAAAAAAAAANyHQhkAAAB4O41GI0mSEKK0tDQ3N7fO9rIsr127Vol1Op1rk/NN6ig79Sw8AgAAAAAAAADgxhDg6QQAAACAOoSEhPTr12/Hjh1CiC1btkybNs1x+19++aW0tFQIodFohg8fvnHjRndk6TX0ev2mTZs8nYX7+Nv+AgAAAG5guHL2xPvPdn5mYbP2t3k6FwAAAMDJGFEGAAAAPmD48OFK8O2335pMJseNt2zZogRDhw5t0aKFazMDAAAAgBuPLMtWi2AESgAAANyIKJQBAACAD2jfvn1UVJQSHzx40EFLo9G4a9cuJR42bJjLMwMAAAAAAAAAAL6DqZcAAADgAyRJGj169MqVK4UQa9euveeee2prqZbRREVFxcXFHTt2rP5bkWX53LlzR48ePX78+C+//FJUVBQQENCmTZvOnTv36tWrR48eOp2uiTviFFarNTMzc9++fcePH79y5YrFYunWrdv8+fPdsGkXHSJZlrOysvbs2XP06NHCwsLg4OBbb721d+/eAwYMCAkJ8fLkAQAAAAAAAAA+hEIZAAAA+IaBAwcqhTKnT58uLCyMjo6usVl6eroSjBkzRpKkenZeUVGxc+fOtWvXlpaW2q83mUw5OTk5OTlbtmyRJGnKlClDhgxx0O3evXvfe+89JU5LS3Nc5JGZmTl79mwlXrFiRUxMzPVtLl++nJycrMRz585NSEjIycmZO3dutTzNZrMaGwyGpKQkJU5JSRk0aJB605QpUy5evCjbDZ++YMECjaaGYSbT09MDAv7jzYKzDtH1e3Tp0qXZs2dfunTJvs+MjIyMjIylS5fOmDFj4MCBtfXmeH+dnjwAAAAAAAAAwNdRKAMAAADfEBER0b17d2WEmH/+85+jR4++vk1BQUFubq4SDxgwoP6dz5w5My8vz3EbWZaXLFny448/zp49u8biEqWN1Wqt/3bVxvbFKw46PHjw4Ny5c+vfrc1mq7a+Wnr1T9hFh+j06dMzZsxwsPvvvvtuRUWF41m0attfpycPAAAAAAAAAPB1FMoAAADAZ4wePVoplFm/fv0jjzxy/cgfu3btUoKEhISIiIiG9h8XF/fAAw907do1Ojo6ODhYCGG1Wq9du5aRkfHpp58aDAYhxOHDh9PS0saPH9/UnWm4Q4cObdiwQQjRqVOnJ598slOnTsHBwbIsX7lyZd++fe7JwbmHKCsrKz09XZblLl26TJgwoUOHDsoeFRQUpKen79ixQ2m2bNmyvn37RkZGelXyAAAAAAAAAABfRKEMAAAAfEZiYqJWq7VareXl5adOnYqPj7e/1WazKXUkQohHHnmkQT336tXr5ZdfbtOmTbX1AQEBMTExI0aMGDx48OzZs0+cOCGESE9PHzlyZFRUVBN2pTHWr18vhHjooYcmTpyoFglJktSyZct67u/y5cuFEMXFxRMmTFDWvPjii/UcescVh2j16tVCiAkTJtiXPUmSFBsbO3Xq1Hbt2imTbQkh1q1b99RTT9UnT7clDwAAAAAAAADwRRTKAAAAwGcEBAQMHz588+bNQoivv/76hRdesL/15MmTlZWVQgitVpuYmNignidNmuS4QVBQ0GuvvfbEE08YjUYhxPbt25OSkhqWvTMkJibaV8k0jv28QvWfY8hFh2jQoEE1zqIlhBg5cuTGjRuvXr0qhNixY8ekSZMaveOuO79FRUVffvml4zbKWDVms1l5fKJGFotFCGG1WjlK/sNsNquxLMucev+hzpfHSfcf1eZGNBgMzHLoVexfkG9Islzz7JzOZbXaZFkW112u2qxWWdQ8zajXslqddsRkmVd7P6L8i7dYLJx0/2E/sbLNZuPU+w/lLTzv4/xKtanbq6qqmvj5JHyFLP92KesNJ72qqkoJqr3HbBwKZQAAAOBL7r//fqVQZvfu3VOmTNHr9epNmzZtUoIRI0ZotVqnbzokJGTUqFHKICieKpRJTk72+BsSBxpxiByMEyNJ0qhRo5RRcAwGQ1FRUXR0tBOzraZx57e4uDg1NdVxm44dOwoKZerHYrEoH7fB3/ABqx/ipPszpYQU3uPGL5SxuaNOxWa1qt8i2LPabDWu92Y2m7XuRvXGq72/MZvNN/yrCmpEoYwf4qT7M7VeAf7DG066c19z+PUGAAAAfEmbNm1iYmKU+MCBA+r6ysrKffv2KfHQoUNdtPWePXsqwbVr19z/HU9sbOzNN9/s5o02VIMOUc+ePcPCwhw06Nq1qxoXFRU1Pb0681ECj5xfAAAAAAAAAIAbUCgDAAAAXyJJ0pgxY5Q4PT1dXf+vf/1LCWJjY9u0aeOirUdERKhxSUmJi7ZSmwEDBrh5i43QoEPUu3fv+vdWXFzclMTqw7PnFwAAAAAAAADgBky9BAAAAB/Tr1+/pUuXCiHOnDlz9epVZYCZNWvWKLeOGTOm0ZMTybKcl5eXlZV17NixCxcuXLp0yWg02jewn/20tLS0RYsWjdyHRmnbtq07N1cj5x6ili1bOt6cTqdTY5PJ1KiU/80V51er1YaHhztuoz4gvXnaLI9TpyTgKPmPavNQcOr9inL2Oel+xf4pz6nHjamWBzYPd57y/oNLev/Ev3j/xPPdP/F891ve8xbeuTlQKAMAAAAfExYWdscddxw+fFgIsWvXrnHjxl28eDE/P1+5tV+/fo3r9sCBA8uXL79y5Uo92ze9bqOhoqKi3LzFapx+iIKCgpqcVH256PzGxcV99913jttMnjxZCBESEhIdHV3Prfuh8vJyg8EQFBTkeDYu3EgqKirU+a01Gs1NN93k2XzgNiaTqbS0VJIkXhX9h9lsth+qLSIiIiCAzyS9SEhIiKdTcC2NVmuru1VTBQYGGDUa63XrAwIDNZIbtu9MgYGBQjjnzY4kCV7t/UdpaanJZAoODg4NDfV0LnCTsrIy9fcnAQEBkZGRns0HbmMwGMrLy7Varcc/qoLbGI3GsrIydTEqKkqjYeIav2Cz2YqKioR3nHS9Xq8ETsmEN6UAAADwPQ8//LBSKLNx48ZHH330m2++UdbfeeedzZo1a0SHK1as+Prrr52Zogt49islnzhEtfHp5AEAAAAAAAAATkShDAAAAHzPbbfdptPpTCZTZWXlwYMHN2/erKx/+OGHG9Hb7t271SoKjUYzcuTIvn37tm7dOjQ0NCAgQJIkdVDH/Pz85ORkp+yCb/HpQ+TTyQMAAAAAAAAAnItCGQAAAPgerVY7cuTI9evXCyHeeusti8UihAgKCurWrVtDu7JarcuXL1fi8PDwxYsXOxg21mq9fjD1WtlP3Nv03jzIdYfIDXw6eQAAAAAAAACA0zF5GAAAAHzSkCFDlECpkhFCPPDAA1qttqH95OfnV1RUKPG0adMcT658+fJlx73ZJ1Bn1UVBQUH9cvQw5x4iN/Pp5AEAAAAAAAAATkehDAAAAHxS69atW7VqZb/mvvvua0Q/58+fV+MuXbo4bnzo0CHHDcLDw9W4rKzMceOsrKy6snO5Ooe9Ec4+RG7m08kDAAAAAAAAAJyOQhkAAAD4qjFjxqjxzTffXK1upp6MRqMaOx6Qxmg07tixw3FvzZs3V+Nff/3VQUuTybR79+56pehsGs2/3wWo4/E44NxD5GY+nTwAAAAAAAAAwOkCPJ0AAAAA0EiDBw8ePHhwEzuxL205d+5c165da2uZmppaZ1lJbGysJEnKMC2bNm3q379/bS2/+uorm83W8HydQK/Xq/HVq1frbO/cQ+RmPp08AAAAAAAAAMDpGFEGAAAAfi0uLk6NP/zwwxpLJWRZ/uqrr7Zt21Znb1qtVi2Oyc7O3r9/f43Nvvvuu/T09Ebl6wQBAQGhoaFKfODAgTrbO/cQuZlPJw8AAAB4ir5F+zve2tXslgRPJwIAAAA4H4UyAAAA8GthYWH9+vVT4ry8vKlTpx45csRgMChrKisrjxw5MmPGjLS0NCHE6NGj6+xw/Pjxajx//vzVq1cXFxcrY8wYjcZTp07NmTNn0aJFWq3WfuooNxs0aJASZGdnb968uaysTMmwRk4/RO7k08kDAAAAAAAAAJyOqZcAAADg71JSUo4cOVJeXi6EuHjx4l//+tcam02dOjUxMXHt2rWOe2vZsmVSUtLq1auVxdWrV6uxvbfeestkMnlqXJmHHnpo8+bNSrxy5cqVK1cKITQajSRJysr09PSAgH+/WXDuIXIzn04eAAAAAAAAAOBcjCgDAAAAfxcSErJs2bL4+PjaGuj1+jlz5gwdOrSeHY4bNy45Obm2W5s3b75kyZJbb721wYk6T0xMzEsvvaSWxShsNpv1d9XaO/0QuZNPJw8AAAAAAAAAcC5GlAEAAABERETEO++8c+rUqd27d2dlZeXl5QkhYmNju3Xr1rdv3549ewYGBta/N0mShg8fPmDAgD179hw4cODkyZOVlZXNmzfv3r37H/7wh8TERK1W67Jdqa9+/fp9+eWX//rXvw4cOHDmzJlLly5ZLBYH7Z17iNzMp5MHAABwqbCOrW++v7eLOjeZTEKIwMDAaiXa7qTvEiPatnb5ZsJbB2lirZrqV9Q2ObJ5sK17lNnlCThPQGX4PR1qnZi1TkclyfZ73LxFM6ekBAAAADiXJMuNv+QFAAAAADg2efLkQ4cOTZkyZdKkSZ7OxXuVl5cbDIagoKCwsDBP5wI3qaioqKqqUmKNRnPTTTd5Nh+4jclkKi0tlSQpOjra07nATcxmc0lJiboYGRlpP8MjbmwFBQVCiIiICOqS/UdoaGhlZaUSv/rqq/PmzfNsPnCb0tJSk8kUHBwcGhrq6VzgJmVlZUajUYkDAgIiIyM9mw/cxmAwlJeXa7XaqKgoT+cCNzEajWVlZeriTTfdpNEwcY1fsNlsRUVFwjtOekVFxb333iuEWLNmTYcOHZrYG49gAAAAAAAAAAAAAAAA+AV+vQEAAADAfQwGQ1JSkhKnpKQMGjTIs/kAAAAAAAAAAPwKhTIAAAAAqktKSjIYDOrikCFDnnvuuTrvdfny5eTkZLWHRx99tMZmVqtVCWw2W5MzBQAAgGvteuivF//5c+PuK8uyEEKSJKdm5L36bhgd2tda402rT7U+U15W401OEStabd9f86bdzGj590W+NneHbXNhbS1L8ltf3nisof1Hj3kgZtJjjUwOAAAAEEJQKAMAAADgelarVS1nEUJs27ZtzJgxzZs3d3wvWZYpggEAALjBWCoN5rJKT2fhG2RhlWVzjTeZZKvBWvNNTmGRbJUmryiUke1iyWYRFkOtTW0WW2VVQ/u3mVx4GAEAAOAnNJ5OAAAAAIAPWLlypadTAAAAAAAAAACgqSiUAQAAAFC3H3/88cKFC57OAgAAAAAAAACAJmHqJQAAAAD1snTp0vnz5zexE71ev2nTJqfkAwAAAAAAAABAQzGiDAAAAIBahYaGDho0SIkzMzNPnz7t2XwAAAAAuJrhytmfZg0tP5Pl6UQAAAAAl6BQBgAAAECtJEl68skn1cUPP/xQlmXPpQMAAADA9WRZtloEV/4AAAC4QTH1EgAAAABHIiMjH3rooY0bNwohcnNzs7KyEhISPJ1U41mt1mPHjv3000/Hjx8/d+6cxWKJjo5OSEi4/fbbe/furdPpPJ0gAAAAAAAAAMCFKJQBAAAAUIdx48b94x//UMaS+fDDD//+979LktS4rgwGQ1JSkhKnpKSo8zrZ27t373vvvafEaWlpISEhDjrMzMycPXu2Eq9YsSImJqa2lrIsb9++PTU11Wg02q/Pz8/Pz8/fsWOHVqt99tln77///kbvHQAAAAAAAADAyzH1EgAAAIA6hISEPP7440p88eLFAwcONKU36+9sNluNDWRZVts0qEMH00JVVla++OKLy5Ytq1YlU62fZcuWzZs3r57bBQAAAAAAAAD4HEaUAQAAAFC3Bx98cM2aNSaTSQixZMmSXr16abVaTydVX0ajcfr06ZcvX1YWY2JinnjiiR49eoSHh0uSZDQac3JyVq5cefbsWSHEwYMHFy5cOHPmTI+mDAAAAAAAAABwCUaUAQAAAFC3oKCgSZMmKfG1a9f27Nnj2Xwa5IMPPlCrZIYPH75ixYqBAwdGRkZqNBpJkvR6fY8ePd5///0hQ4YobX744YfMzEzP5QsAAAAAAAAAcBVGlAEAAABQL0OHDl21alVFRYUQYvny5f379w8MDPR0UnU7ffr03r17lbhPnz6TJ0+WJOn6ZhqNZurUqTk5OWfOnBFCLFq06KOPPqqxpT2TyZSfn++4jTKRk81mY0YnB5Rps5RZtzydC9yk2lxpnHr/oc67x0n3H9UmW+R/os9xMLslqnFwrFx9GH3xNDUuZa4YvRaX9H7I/pWHU+9XuKT3Q9Uu6R1PgI4bif3z3eMnXX3NcUomFMoAAAAAqBetVpucnLxw4UIhRGVl5fbt2x944AFPJ1W3L774Qo2nT5/uoPZFkqSUlJQZM2YIIa5evXr+/Pm2bds67vz8+fOPPvqo4zYdO3YUQhgMhmvXrjUgb79kMpmU6b3gb2w2G08QfyPLMifdb5WWlno6BTSMxWLxdAo+w8GxcvVXiRaLRYg6iry9TeMeWlxXezmDwWAwGDydBTzAarXy3PQ3nHR/VlJS4ukU4G7ecNIrKyuVwCmFMky9BAAAAKC+BgwYEB0drcSffPKJ938AWlVVdfDgQSW+9957w8LCHLfv1KlTcHCwEv/444+uTQ4AAAAAAAAA4HYUygAAAACoL2V+IiW2WCwbNmzwbD51UuZRUgwYMKDO9pIkJSQkKHF2draLsgIAAAAAAAAAeAqFMgAAAAAaoFevXjfffLMSf/nllxUVFZ7Nx7Hz58+rcbt27epzF3W6pZMnT7okJwAAAAAAAACA5wR4OgEAAAAAvkSSpD//+c8vv/yyEEKW5S+++OKZZ57xdFK1ysvLU+Np06ZpNBrx+yy2siyrgRDCZrMpgdVqVdqXlZXJsixJkoP+W7ZsuWjRIsc5pKamCiGCgoLCw8Obsi83NoPBYDKZAgMD1amvcMNTTroSS5JU58xouGFYLJbKykpOul+xWq32lbWhoaFardaD+aChOF/1pw3QCmGt8SblQtTFm7a5dBNOF9Coh5ZOp+O62jtVVlZaLBadTqfX6z2dC9ykqqrKbDYrsVarDQ0N9Ww+cBuTyWQwGDQaTbNmzTydC9zEbDZXVVWpi2FhYY4/McMNQ5blsrIy4R0nXX1j4pRMKJQBAAAA0DDdu3ePj4/PyckRQmzevHn06NFRUVGeTqpm9u/hDQaD0/sPCQnp37+/4zarVq0SQmi1Wp1O5/QEbhhKwYRGo+Eo+Q/1I3UhhCRJnHo/xEn3H/bPdyFEYGBgQACfSfoSV1d43Eg0ksZThTIaSeNzhTKSpjHfcHBd7bWUN1ycIL9iNBrVmEt6v2Kz2QQn3c8ovy5TBQYGconoJ5Tnu/COk66+tXRKoQyPYAAAAAANNnXqVDVWRkzxTnwPBwAAAAAAAACwx6fGAAAAABrslltuueOOOw4fPiyE+P777x9//PGWLVu6YkPVfrByPXWmpBq1aNFCjVevXs1A0AAAAAAAAADg5xhRBgAAAEBjTJ48WY3//ve/O7FndbpZUVcdjBCioKDAwa233HKLGl+9erWJiQEAAAAAAAAAfB2FMgAAAAAao1WrVgMHDlTiw4cPnzlzxlk9h4eHq3FZWZnjxllZWQ5ubd++vRofOnSoaXkBAAAAAAAAAHwehTIAAAAAGumpp55S46VLl9Y5+ks9NW/eXI1//fVXBy1NJtPu3bsdNIiIiOjatasSr1mzxmKxOCNBAAAAAAAAAICvolAGAAAAQCNFRUWNGDFCibOzs3fu3OmUbmNjYyVJUuJNmzY5aPnVV1/ZbDbHvU2YMEEJqqqqVq5c6ZQMAQAAAAAAAAA+ikIZAAAAAI332GOPqfH69eud0qdWq+3fv78SZ2dn79+/v8Zm3333XXp6ep29de/eXe1t27ZtqampdY58U1BQsGrVqoqKioZkDQAAAAAAAADwARTKAAAAAGi8sLCwpKQkp3c7fvx4NZ4/f/7q1auLi4tlWRZCGI3GU6dOzZkzZ9GiRVqtdsyYMXX2Nn369FatWinxxo0bx48fv2XLlkuXLplMJmWlzWarqKg4e/bs9u3bn3/++UmTJqWnp9c5Vg0AAABwQ9K3aH/HW7ua3ZLg6UQAAAAAlwjwdAIAAAAAfNvDDz+cnp5usVic2GfLli2TkpJWr16tLK5evVqN7b311lsmk6nOcWWCgoLef//9efPmZWZmCiHKy8uXL1/uxGwBAAAAAAAAAL6CEWUAAAAANIler584caLTux03blxycnJttzZv3nzJkiW33nprPXvT6/VvvPHGq6++GhER4bilJElDhgxZvHhxWFhYA9IFAAAAAAAAAPgCRpQBAAAA0FT333//559/XlVV5cQ+JUkaPnz4gAED9uzZc+DAgZMnT1ZWVjZv3rx79+5/+MMfEhMTtVptQzvs06fPZ599du7cuQMHDpw6dSonJ6e4uFgIERsb27Zt244dO/bo0SM+Pj4wMNCJOwIAAAAAAAAA8B4UygAAAACobs2aNQ1qHxgY+NVXX9WnpV6v37RpU/17DgsLGzFixIgRI2prkJCQ0KAOJUmKi4uLi4ur/10AAAD82R/XvGYzN3KSzaKiIiFEWFiYnxQia0MCtME1f+Se0l1YZcl1m7ZaxbQ7vGL8+DZzNZWm32LLLfdphr9aW8sIoy08qcHHRArSNTo3AAAAQEGhDAAAAAAAAACgZrrIZo2/r2QRQugjIvykUMaBEFd/Eu+dB1irE0G1zmeqCXJnKgAAAMC/USgDAAAAwIcZDIakpCQlTklJGTRokGfzAQAAAAAAAAB4MwplAAAAgP+QlJRkMBhqvEmr1YaGhrZr1y4uLu6OO+7o2rVrcHCwm9PD9axWqxLYbDbPZgIAgDcoP/Bz+b4MT2fxb7ZA7dkH439bkEXO2kCNxismiIEbKNfVOp2Ok+4/rJZ/X5MfL7m8+peD9bxjdFDAXbHljtuE5hVpy0sbn5xT/fqjuHKsyNNZeFLH8UNi+nTxdBYAAACNQaEMAAAA8B+sVqtaeHH9TSaT6dq1a0eOHNm0aZMQYtSoUePGjdPr9e7NEQAAoFaGk6eLNmz1dBZ2IppdGPb7xZJN+m57zRdaAG4MVqusxucqinbn59Tzjp0iIhNuynPcRl9QoMn/pfHJOVXhwYgTqUc9nYUnxfTpSqEMAADwURTyAwAAAI23fv36Z555pri42NOJAAAAAAAAAACAujGiDAAAAFCrDRs2aLVadVGWZbPZfOnSpa1bt27d+tsPtUtKSmbNmvXBBx/YtwQAAAAAAAAAAF6IQhkAAACgVpIkVVvU6XTt2rVLTk4eNGjQX/7yF2V9Xl7eDz/8cO+993oiR3+n1+uVabAAAAAAAAAAAKgTUy8BAAAAjREfHz9+/Hh18csvv/RgMgAAAADQdCVlFz7fPPFKYY6nEwEAAABciEIZAAAAoJHuu+8+Nb5w4YLJZPJgMgAAAADQRLIQNptVCNnTiQAAAAAuxNRLAAAAQCNFRERIkiTLv32IXFxcHBsb6/guV69e3bdv34kTJ7KzsysqKvR6fXx8fLdu3e65557WrVs3Iger1frTTz/t2bPnxIkThYWFERER3bp1u++++xITE6vNGyWEKCoq+v777zMyMs6ePWs2m2+55ZbevXsPGTIkIiKinpuTZfncuXNHjx49fvz4L7/8UlRUFBAQ0KZNm86dO/fq1atHjx46na4ReyHLclZW1p49e44ePVpYWBgcHHzrrbf27t17wIABISEhjejQnckDAAAAAAAAAHwIhTIAAABAI0mS1KxZs7KyMmXRaDQ6aFxSUrJgwYLMzEz7lSaT6eDBgwcPHvzss886dOjwyiuvOCi1uXz5cnJyshLPnTs3ISEhNzd39uzZpaWlapvCwsK9e/fu3bs3Li7uzTffDAsLU9ZbrdaPPvpoy5Yt9h1mZ2dnZ2evWrUqJSXFfnScGlVUVOzcuXPt2rX2m1N2IScnJycnZ8uWLZIkTZkyZciQIdfX6DjYi0uXLs2ePfvSpUv2fWZkZGRkZCxdunTGjBkDBw50kJjBYEhKSlLilJSUQYMGuS55AAAAAAAAAICvY+olAAAAoJFkWS4vL1cXg4KCamuZmZn55JNPVquSqSY3N/fpp5/et2+fg81Zf6f0+fzzz1er/FCdPXt2+vTpymxQFovlpZdeqlYlY2/x4sU7d+50kJsQYubMmampqbVtTs1wyZIlr7/+us1mq+denD59evLkyfZVMtUav/vuu9u2hweKLgAAIABJREFUbXOcm9phbdt1VvIAAAAAAAAAAF/HiDIAAABAI5WWlqrzLgkhapvA6MyZM7NmzVIXExMTJ0yYEBcXFxgYaLFYLly4kJaWtn//fuXWt99+e968eYmJiY43/fPPP69bt04Iceeddz7++ONt27YNDAw0m825ubmLFi3Kz88XQhQUFHz88cfPPffcwoULc3JygoKCJk2adPfddyszRpWWlm7fvj0tLU3pcPHixX379m3WrJnj7cbFxT3wwANdu3aNjo4ODg4WQlit1mvXrmVkZHz66acGg0EIcfjw4bS0tPHjxzvuSgiRlZWVnp4uy3KXLl0mTJjQoUOH4OBgWZYLCgrS09N37NihNFu2bFnfvn0jIyPr7NCdyQMAAAAAAAAAfBEjygAAAACNZD8KS3x8fI0jylit1tdff11dnDhx4rx58zp37qzT6SRJCgwMbN++/axZs/785z+rbebPn6+MBONAenq6zWZLTk6ePXt2x44dld50Ol2XLl0++OADdf6mbdu2rV69et++fa1bt05NTR02bFhUVJRGo5EkKSIiYuzYsTNmzFD73Lx5s4Mt9urVa+nSpYsXLx4yZEjbtm1DQkIkSZIkKSAgICYmZsSIEatWrerataua3rVr1xzvghBi9erVFotlwoQJb7/99m233ab0qdFoYmNjp06d+swzz6gtlaqgRnNF8gAAAAAAAAAAX0ShDAAAANAYubm5n332mbr4xBNP1Njsu+++KywsVOKhQ4c+/PDDNTYbMmTImDFjlNhgMNSnLmTYsGHDhw+/fr1Op5syZYq6uHr1aiHE3/72t7CwsOsbDxw4sEWLFkq8detWB5ubNGlSmzZtHDQICgp67bXX1Gqh7du317UHQggxaNCg0aNHS5J0/U0jR46MiYlR4h07dtgP3tNQLkoeAAAAAAAAAOBzmHoJAAAAaACLxXLlypXt27dv3LhRXfnHP/4xISGhxvZffvmlGk+cONFBz2PHjt2wYYPFYhFCrFu3buzYsRqNo7r22kpzhBC33Xab/eKoUaOioqJqbClJ0ogRI1JTU4UQJSUlZWVlNdbT1FNISMioUaOU0pzt27cnJSXVeZennnqqtpskSRo1atTy5cuFEAaDoaioKDo6utG51akRyQshLly48PLLLztuo5xTg8FQXFzc9DxvVDabTQhhMpk4Sv5DOelqzKn3H0rhoyzLnHTXUeYT9B5NqXYF4D+sVmudbWz1aOM2XpWMR1RWVtr/N1fOoNFoNJvNnksKbmV/SW+1Wrm68x/Kqeek+5Vql/QlJSU1/uwNN7DS0lJPpyAqKyuVwP4fUKNRKAMAAADUatSoUfbv+mr86Hb06NHjx4+v8e4FBQVXr15V4kGDBoWEhDjYlk6n+9Of/rR+/XohhMlkOnPmTIcOHWprfOeddzroTafTtWjR4vLly8rif/3XfznYbnx8vBoXFxc3pVBGCNGzZ0+l1uTatWsGg0Gv1ztu7Hhz6nRIQghXF8qIBiavMBqNx48fd9ymY8eOQgibzaZUzMABWZY5Sn6LU++HOOmuU58vmwHA29SnqM6rCu+8KhmPsFqt1/83t9lsTvnuCj6Hd3P+iZPut3jH4Ye84fnu3ByYegkAAAColc1ms9qpdmv//v1TU1MnTJhQ208ozp07Z9+4zs3dfffdanz69GkHLXv16uW4q9atW6txq1atHLSMiIhQ46b/Esi+t5KSEseNe/fuXf/e3PArpQYlDwAAAAAAAADwRYwoAwAAADTSjz/++Mc//rF58+a1Nbhw4YIa21eu1KZly5ZqfPbsWQctW7Ro4bgrdbyZoKCggABHl/1BQUFqXOcQ2bIs5+XlZWVlHTt27MKFC5cuXTIajfYN7H87WFpa6jhP+/2tkU6nU2OTyeS4cZ2cmzwAAAAAAAAAwBdRKAMAAADUasOGDVqtVl20Wq1FRUU//PDDp59+qgw2M2/evMmTJ48YMaLGu1+8eFGNw8PD69xcaGioGtsX2VzPvrqlRhrNb4NH1mf+oHo6cODA8uXLr1y5Us/2dZa21LkXTuT05BXNmjUbMmSI4zbKwEJardad++tzLBaL1WrVarWO67pwI1FOuhJLkmRfGIcbm81mM5vNnHSXMvJaCsAHSVLd49+rb3O8QW0Di/qPwMDAar+7sNlsXNL7FS7p/ZYy8xon3a8o7+PURZ1Ox/9BPyHLsvIxqTecdOfO+cX1CgAAAFCralf/Wq02Jibm4Ycf7t+//9SpUw0GgxBi+fLl8fHxnTt3vv7u9m8g6/NZof3HvtUGO2k0Z32UvGLFiq+//topXbmf65KPjY198803HbeZPHmyECIoKCgsLMwVOdwYysvLrVZrQEAAR8l/VFRUVFVVKbEkSZx6/2EymZT/j5x01zF6WWmmxz9OBeATtNq637lI3lQoo7H7TYV/0uv19v/NS0tLTSaTTqez/wUIbmxlZWXqd5ZarZarO/9hMBjKy8s1Gg0n3X8YjUb7zzmbNWvmVdWrcB2bzVZUVCS846SrCTglEwplAAAAgAaLiYl5/fXXX3rpJWXxzTff/Oijj7TXfU4aGBioxvUpeLef+serRh/ZvXu3Wmii0WhGjhzZt2/f1q1bh4aGBgQESJKkfgGWn5+fnJzsuUxr4NPJAwAAAAAAAACci0IZAAAAoDG6du06ePDgb7/9VghRWFi4YcOG0aNHV2vTokULNS4rK6vzd3UVFRVq3Lp1a+cl2yRWq3X58uVKHB4evnjx4qioKAeN3ZVXvfh08gAAAAAAAAAAp2NMJAAAAKCRJk6cqMaff/65OoeIqk2bNmqcn59fZ4eXL19W47i4uCYn6Bz5+flqBc+0adMcFJqI/9wFb+DTyQMAAAAAAAAAnI5CGQAAAKCRwsLCRo0apcQ2m23Tpk3VGrRr106Nf/zxxzo7zMjIUOOOHTs6I0cnOH/+vBp36dLFceNDhw65OJ2G8enkAQAAAAAAAABOR6EMAAAA0HiPPPKIGq9evdpgMNjfGhMT07x5cyX+5ptvqt1ajdlsVkttdDpdhw4dnJ1sIxmNRjXWarWOW+7YscP1GTWATycPAAAAAAAAAHA6CmUAAACAxgsLCxsxYoQS22y2LVu2VGswduxYJZBl+YsvvnDQ1YYNG9SqjgcffFCj8ZZrdbXWRwhx7tw5By1TU1MtFovrM2oAn04eAAAAAAAAAOB03vLhOwAAAOCj1FIYIcTnn39uP4SJEGLw4MFRUVFKvHHjxtrGLNmzZ8/nn3+uxEFBQWPGjHFNso0RFxenxh9++GGN1SSyLH/11Vfbtm1zY1714tPJAwAAAAAAAACcjkIZAAAAoEkiIyMHDx6sxFardfv27fa3arXav/71r+rikiVL5s+ff/bsWaViw2q1nj9/fuHChe+++67a5n//93/1er1bcq+XsLCwfv36KXFeXt7UqVOPHDmiTiNVWVl55MiRGTNmpKWlCSFGjx7tsURr4tPJAwAAAG4WGXbzhAc/i42+1dOJAAAAAC4U4OkEAAAAAJ/32GOPffvtt0q8atWqYcOG6XQ69dZOnTq9/vrrr7/+us1mE0Ls379///79tXX1wgsv9OrVy9UJN1RKSsqRI0fKy8uFEBcvXrQv/bE3derUxMTEtWvXuje7Ovh08gAAAAAAAAAA52JEGQAAAKCpmjdvPnDgQCU2mUw7d+6s1qBnz56ffPJJly5dHHTSrl27FStW/OEPf3BRkk0REhKybNmy+Pj42hro9fo5c+YMHTrUnVnVk08nDwAAAAAAAABwLkaUAQAAAJxg/Pjxe/bsUeJPP/10yJAhgYGB9g2ioqIWLFhw5cqVH3744fjx4ydOnCgvLw8JCbn11lu7det2zz33tGnTxhOJ11dERMQ777xz6tSp3bt3Z2Vl5eXlCSFiY2O7devWt2/fnj17Vttfr+LTyQMAAAAAAAAAnEiSZdnTOQAAAADADWvy5MmHDh2aMmXKpEmTPJ2L9yovLzcYDEFBQWFhYZ7OBW5SUVFRVVWlxBqN5qabbvJsPnAbk8lUWloqSVJ0dLSnc7lhVR3Pqcw84eks/s2iEfn9blZiWZYvZgRrNIxy7S8qKiqEEHq9XqvVejoXuMnDY+80Gn/7F//fz0+ZMOPP9bxjuE57W5TBcRv95WLN79cPHnfhqLX4TIWns/CkNsP6RHaLUxdLS0tNJlNwcHBoaKgHs4I7lZWVGY1GJQ4ICIiMjPRsPnAbg8FQXl6u1WqjoqI8nQvcxGg0lpWVqYs33XQTl/R+wmazFRUVCe846RUVFffee68QYs2aNR06dGhib4woAwAAAAAAANw4grvFB3erdc5B9zObzdqSEnWxxwORAQF8JukvCgoKhBAREREM4Oc/tFpJjds3u+m+Nl2d2bs3jcLZprNXpQMAAIAGoNQLAAAAAAAAAAAAAAAAfoFfbwAA4AQGgyEpKUmJU1JSBg0a5Nl80GiXL19OTk5W4rlz5yYkJDSxwzofG37y4DEYDP/6179+/PHH3NzcwsJCdfbPTz75xNUD8zr9nHqPysrK48ePZ2VlnTx58vLly8XFxYGBgdHR0Z07d+7QocNtt912yy23eHw8TAAAgHoqOHhStto8nYU/0gVrdS77kNhcXCyEMDRrZnHXMEJXW0dZtT58DVxeFijV3coRfZVF8uhTSX27J4QwWKuKjAXqYligFz3HJZsIsFrraGSThaGO2aB+a1hlEeZae5NuaiWFMSUNAACAF6FQBsCNLykpyVDTe1pJkoKCgkJDQ1u1atW6des2bdp06tQpLi4uJCTE/UniBmD9/eMVm80rPvep7ZEvhNBqtaGhoe3atYuLi7vjjju6du0aHBzs5vS8lizL1jo/KWugOh8b3vbgcbqMjIy33nrLYrF4ZOuuOKcel5eX9+mnn2ZkZFRbb7FYzp8/f/78+X/+859CiKCgoLFjx44cOVKv13siTQAAgAbYcd+LppIKT2fhj3pN6B3wa7ZLN3HNpb3/p0/fnlBsrldlg3c6/GMrm12hSSMMzq+4dLbYWfk0gtn07ze2eVVnvruwQ13s17LcExnVTCduuunq2ToaWfTy0cP16c1cGm059FNttwaN+5+Ae0Y0KD0AAAC4FIUyAG58Vqu1tq9ILRZLRUXFlStXjhw5oq7s0KHDmDFj7rrrLiZNh09z8Mi3Wq0mk+natWtHjhzZtGmTEGLUqFHjxo3jq3S4Qm5u7htvvOHpLG4cZrN52bJl3377bX0aG43Gzz77LC0t7emnnx4+fLgkNfG3qQAAAAAAAAAA+Dy+AwaA6nJzc99+++2QkJA///nP/fr142tF/1RaWvrEE08o8YsvvnjPPfd4Nh9XW79+/a5duxYvXuzqSXDghz744AMl0Gq1//u//3v77bfrdLpGv7T623OzmrKyshdffDE/P19d07Jly3HjxsXHxzdv3jwoKEgIYbFYSkpKTp8+/c033xw8eFAIYbValy9f3r59++7du3ssdQAAAAAAAAAAvAOFMgD8y4YNG7Rarbooy7LNZquoqLh27dqpU6e2b9+ek5Oj3FRZWblgwYI+ffq89NJLgYGBHsoXnqQOxyI3bdBjb3D9I99sNl+6dGnr1q1bt25VVpaUlMyaNeuDDz6wbwk0UWlpaW5urhI//fTTd911V9P7vJGemw1SVVU1bdq0wsJCZTEkJOTVV1/t3r17taqjwMDA5s2bN2/e/O6777527dpHH320d+9eT+QLAAAAAAAAAIA3olAGgH+p9m2iJElarTY8PDw8PDwuLm7w4MHFxcWffPLJP//5T6VBRkbGq6+++uabb1I6AMf0er0yh5F3uv6Rr9Pp2rVrl5ycPGjQoL/85S/K+ry8vB9++OHee+/1RI7+y8sfPE108eJFNb799ts9mImvk2X5jTfeUKtkOnTo8Oabb4aEhDi+V1RU1Isvvjh48OD58+e7PkcAAAAAvq2k7MLm3a8Ouefl2Oh4T+cCAAAAuJDG0wkAgHeJjIz8n//5n9dee01dc+LEidTUVA+mBLhUfHz8+PHj1cUvv/zSg8ngxlNQUKDG4eHhHszE1+3ZsyczM1OJw8PD33rrrTqrZFQ9e/ZcuXJlaGioy7IDAAAAcCOQhbDZrEL41+CdAAAA8EMUygBADXr16vXqq6+qi5s3b87Ly/NgPoBL3XfffWp84cIFk8nkwWRwg7F/ODE0V6NZLJYlS5aoizNnztTr9Q3qISoqqn379k5OCwAAAAAAAAAAH8TUSwBQsz59+tx111379+9XFj/++OM5c+bUeS+r1Xrs2LGffvrp+PHj586ds1gs0dHRCQkJt99+e+/evXU6XSMysVqtP/300549e06cOFFYWBgREdGtW7f77rsvMTGx2nw6QoiioqLvv/8+IyPj7NmzZrP5lltu6d2795AhQyIiIuq/xatXr+7bt+/EiRPZ2dkVFRV6vT4+Pr5bt2733HNP69atG5q/zWY7efLkzz//nJ2d/csvvxgMhrCwsE6dOt1+++133XVX8+bN69+V1WrNzMzct2/f8ePHr1y5YrFYunXrdv18IrIsnzt37ujRo8ePH//ll1+KiooCAgLatGnTuXPnXr169ejRo3EnwrmceFiaLiIiQpIkWf7tF2PFxcWxsbGO7+L0h7rZbM7IyNi3b9/JkyevXbsWGRmZmJh411139e7d2xuqK7wtPXc+fpz7guA9ZFnOysras2fP0aNHCwsLg4ODb7311t69ew8YMKD+I7UI17zsX2///v0Gg0GJ27dvn5CQ4JRuq3H6uXbiQT5w4EBGRsbPP/9cXFwcFRUVHx/fr1+/Pn36NO4I36iPagAAAAAAAABAfVAoAwC1euaZZ9RCmcOHD5eVlYWFhdXWWJbl7du3p6amGo1G+/X5+fn5+fk7duzQarXPPvvs/ffff311i+ry5cvJyclKPHfu3ISEhNzc3NmzZ5eWlqptCgsL9+7du3fv3ri4uDfffFNNyWq1fvTRR1u2bLHvMDs7Ozs7e9WqVSkpKfajhtSmpKRkwYIF6uweCpPJdPDgwYMHD3722WcdOnR45ZVX6qyiUMiy/O2333700UdVVVX26wsLCwsLC/fv3798+fI777zz2WefbdmyZZ2HIicnZ+7cufaHQghhNpvtFysqKnbu3Ll27dpqzUwmU05OTk5OzpYtWyRJmjJlypAhQ2o7EVOmTLl48aJaNSKEWLBggUZTwxhs6enpAQG//Sc1GAxJSUlKnJKSMmjQoFqOSpMOi4tIktSsWbOysjJlsdpjuJqmP9SvP7mZmZlvvPGG/QEpKCjYtWvXrl27QkNDZ82addtttzlIae/eve+9954Sp6WlOf4CPjMzc/bs2Uq8YsWKmJgYB43VuzQlvTrV/8Ej3Pv4afQLgs1me+SRR5TYarWq6x977LFqj4rU1NSoqKh65tO452aNLl26NHv27EuXLtnvV0ZGRkZGxtKlS2fMmDFw4MA683HKy349/eMf/1DjcePGNb3Dapr+4n/989opB1kIkZmZ+eabb1ZUVKhrrl69qlS6BAUFvfLKKz179jx16tTMmTOVW5cuXdqqVSvX7SkAAAAAAAAAwNcx9RIA1Co2NrZFixbq4tGjR2trWVlZ+eKLLy5btsxBhYHVal22bNm8efPsvzauRpZl6++EEJmZmc8//3y1mg/V2bNnp0+frkxrYrFYXnrppWpVMvYWL168c+fO2m5VZGZmPvnkk9W+PqwmNzf36aef3rdvn+OuhBAVFRUzZsxYvHhxta/zqzl48OCzzz57/fpqh+LgwYN/+ctfajsUqpkzZ6ampjpuJsvykiVLXn/9dZvNVmMDZaP2t9onY6/GO1a7bzVNPCwuIstyeXm5uhgUFFRbS6c81Kud3IyMjFmzZtV2QCoqKl555ZWtW7c6zr+2k1Jbhgr7kovaND29BqXk4MEj3Pv4aeILQo1nxGazOX4SOdbo52Y1p0+fnjx5sn0Bhz1Zlt99991t27Y57sRZL/v1YTKZsrOz1UWnDyfjlBf/ak9DpxxkIcTmzZtnzZplXyVjz2g0vvbaa7t37xb1e147998cAAAAAAAAAMBHMaIMADgybNiw//u//1PiQ4cO9evX7/o2RqNx+vTply9fVhZjYmKeeOKJHj16hIeHS5JkNBpzcnJWrlx59uxZIcTBgwcXLlyo/vDdgZ9//nndunVCiDvvvPPxxx9v27ZtYGCg2WzOzc1dtGhRfn6+EKKgoODjjz9+7rnnFi5cmJOTExQUNGnSpLvvvluZSae0tHT79u1paWlKh4sXL+7bt2+zZs1q3NyZM2dmzZqlLiYmJk6YMCEuLi4wMNBisVy4cCEtLU0dX+ftt9+eN29eYmJibclXVVWlpKQUFBQoi3q9/tFHH+3fv390dHRAQIAsy2VlZefOndu5c6fyBadjhw4d2rBhgxCiU6dOTz75ZKdOnYKDg2VZvnLlSo3fZcbFxT3wwANdu3aNjo4ODg4WQlit1mvXrmVkZHz66afK9CWHDx9OS0sbP358nVt3IuceFicqLS21/2q5tom6XPFQP3To0Pr164UQbdq0mTx5cnx8vF6vt9lsly5dWrdu3bfffqs0+/vf/96qVauePXs2fWcbxKvSc+fjx7kvCF4lKysrPT1dluUuXbpMmDChQ4cOyutJQUFBenr6jh07lGbLli3r27dvZGRkjZ246GW/NsoLviIqKsrB2GaN4Ipz7ZSDLIQ4dOjQypUr1cVhw4Y9+OCDLVq00Gg0RqPxl19++fjjj0+fPv3ee++pIxi5eU8BAAAAAAAAAL6IQhkAcKRz585qfOLEiRrbfPDBB+rXpcOHD3/mmWe0Wq16q16v79Gjx/vvv7906dJvvvlGCPHDDz8MGzasziEB0tPThRDJycnDhw9XV+p0ui5dunzwwQdTpky5cuWKEGLbtm2RkZH79u1r3br1O++8Y/8FakRExNixY1u2bLlw4UJlzebNm9UZXuxZrdbXX39dXZw4ceLDDz+sLgYGBrZv337WrFnffPPNhx9+qKycP3/+559/rtPpakx+4cKF6tf5iYmJL7/8sv1sOJIkRUREJCQkJCQkPPXUU1988YXjQ6FUKjz00EMTJ05UJxyRJKlly5bVvhzt1avXyy+/3KZNm2o9BAQExMTEjBgxYvDgwbNnz1ZOZXp6+siRI6+f9mX58uVCiOLi4gkTJihrXnzxxQEDBjhOsj6ce1icyH60ofj4+NpGlHHFQ105uQMGDHjhhRfU3rRa7c033zxt2rR77rln7ty5ysq//e1vaWlpgYGBjd/PhvOq9Nz2+Gn6C4JGo9m0aZMSf/fdd4sWLVLitLS0phR5OOW5uXr1aiHEhAkTHnnkEfvXk9jY2KlTp7Zr106tzFi3bt1TTz1VYycuetmvzfnz59W4Y8eOjeukRk5/8Vc45SCbzea3335bXaxWtqLX67t3775w4cKVK1d+/fXXSl2p+/cUAAAAAAAAAOCLKJQBAEdiYmLU+MKFC7Isq9/5KU6fPr13714l7tOnz+TJk6s1UGg0mqlTp+bk5Jw5c0YIsWjRoo8++qjGlvaGDRtmXyWj0ul0U6ZMmTNnjrKofCX5t7/9rcZvoAcOHPj5558r3+lu3bq1xkKZ7777rrCwUImHDh1q//WhvSFDhly+fFmp4DEYDOvWrauxt6ysrIyMDCXu1KnTnDlz7L9CriYiIuK5556r7VZVYmKifZVMbSZNmuS4QVBQ0GuvvfbEE08os6Vs3769xl0QQmg0mhrjRnPFYXGK3Nzczz77TF184oknamzmuod6mzZtZsyYUeNBvvPOO5999tkVK1YIIQwGw9atWx988MH67piTeEl67nz8OPcFwf7sO8i5/pr+3Bw0aNDo0aNrvGnkyJEbN268evWqEGLHjh2TJk26/tHr0pf9Gin5KNq1a9eIHmrj3HNtr4kHWblJGQBMCDF16tQaB3eRJOmZZ5759ddfjx075jgf1+2pEEIZv81xG+WfjsViUXcK11Pm7bLZbBwl/2GxWNRYlmVOvf9QJyXkpPuPajNRmkwm+1cAeJzjGWB9Tz3m2L2x1WeWYQghZLnuR379D6bjlmaz2eIH//WUFxOr1cq/eP9h/y+ed3N+xWw2C97H+ZlqF/BGo7FxH3XC56gXOd5w0tXXHKdc8VIoAwCOhIeH2y9aLJZqI0bYD9swffp0B/8kJElKSUmZMWOGEOLq1avnz59v27at463XVrIghLjtttvsF0eNGnX9yCjqdkeMGJGamiqEKCkpKSsru76e5ssvv1TjiRMnOkhp7NixGzZsUC6J1q1bN3bs2Ou/qFYnexJCzJw50ylfjScnJzvrH3BISMioUaOU6iIHhTJO54rD0hQWi+XKlSvbt2/fuHGjuvKPf/xjbYNeuO6hPnXqVAflDsOGDfv8888rKyuFEF999dWf/vQnN1+KeUl67nz8OPcFwQvVNoSJEEKSpFGj/j979x7QxJX3DfxMEkgIcpOLVFQQRUVElnqpeG294NZqVaRVtlVbuq2uVNuu1a6ra720u67Wp60WfdAu+2hrsaKr1nZRa6uibiteKaiISFUQQbmHQG6Tef+Yt7PTAJMEJhfI9/PXb5KTM2fOGYYk88s5CezUNRqNprq62t/f36SMTS/7Laqrq+Pi5u1pD9uNdTs7mfwyrRohpEuXLhMnThSobcGCBUuWLBFoDLHxWV1ZWblx40bhMuxUQDqdrqGhQbgk6PV69us2cDUMw+APxNVg0F0Z+/65OdzddxSTTKaOzujyJ1Jny3yyGZq2IFHGaLTwQ77w35FWqzW4zH89nU6n0+kc3QpwAKPRiHd3rgaD7srUarWjmwD25gyDzn2WFOXDYwe4mQEA4EAy2a8SCk0+9DY1NV28eJGNx40bZ3ZJkb59+3p4eLDxDz/8IFx46NCh/HVVTLi7u3fr1o3bnDBhgkBV/fr14+La2lqTZysrK7k6E+fEAAAgAElEQVTpCsaPHy+wU3a/zz77LBvrdDp2pgQ+lUrF/bI/NjY2ODhYoDYLBQUFhYSEtL8eTmxsLBvU1NTYJ+fdFt1ilYSEhJk8zz77bEJCwsKFC/lZMomJiW+++WaLL7fdqa5QKAYOHChQQCqVJiQksHFDQ0N5ebnwrsXlJM2z5/kj7gXBCcXGxgqfwJGRkVxcXV1t8qxNL/ut4ScNmPxXag/bjXU7O5ltW01NDRvPnDlTODMsLCxMOH+o05/VAAAAAAAAAAAAAGAVJMoAAAgRzknk3z8bM2aM2dooiuKm6ygoKBAuPGTIEOEC3bt35+LHHntMoKSPjw8XN0+UuXfvHhePHj1aeKeEkBEjRnBxUVGRybP8Ppk0aZLZ2ixhSd9ahd8h/KkabMcW3WIVo9FI85g8O3r06PT09Hnz5rU2N4btTvXRo0ebnYLl8ccf5+Li4mKzexeRkzTPnuePuBcEJzRs2DDhAsIXTJte9lvDn8lMxEUKbDfW7exk8ut+5lIbBQiPRac/qwEAAAAAAAAAAADAKlh6CQBAiElKgclP+UtLS7m4V69ellTYs2fPnJwcQsjNmzeFS/InjGkR95t4uVwuPMeAXC7n4ubLGdy/f5+L+ck3reHPZnH37l2TZ/n3I8PCwszWZglrFythGKakpCQ/P//atWv3798vLy/XarX8AvxZiOvr6812dfvZoltE9MMPPzz11FMBAQGtFbDdqR4REWG2Kv4A8VtiB07SPHueP+JeEJyQ2fl43N3dubj5ZNE2vey3hr8IIDfPSvvZbqzb2ckmbQsMDDTbtvDwcIFnO/1ZDQAAAAAAAAAAAABWQaIMAICQ+vp6/qbJ6g8lJSVcvGTJEolEQn6ZhIZhGC4ghBiNRjbgMm9UKhXDMAKTVfCzW1rE7o4QolAoLD2eljx48ICL+bdjW+Pp6cnF/LuPrLKyMi7mzxnQHn5+fpYXvnDhQlpa2sOHDy0sb59Vk23RLVY5ePAg/+ylabq6uvrs2bO7du1iJ5tZv379ggULnnnmmRZfbrtT3ZJb4NzKNeTXp6sdOEnz7Hn+iHtBcEJmL63CbHrZbw3/PORnTbWT7ca6nZ1MCKmoqOBi4ZWSWMJLL9n6rO7du7fZdbVSUlIIIUqlUiAlERoaGjQajVwuN7uoGXQaarW6qamJjSUSSdeuXR3bHrAbnU5XX19PUZTwBRw6E71ez5/L09fXt8Ufe7ThnRKIgj+FYScgkUiI6TyqrkV46VLgWLKyrUQqFZpr+te1Ccz/2aVLF5kLfBaor6/X6XQeHh78T1XQualUKu4HijKZzNfX17HtAbvRaDQNDQ1SqdSqr+6hQ9NqtSqVitvs2rUrd4sKOjej0VhdXU2cY9DVajUbiNISJMoAAAh59OgRF4eEhJh8bcd9s08I0Wg09mvWr7Xz/wF/jhmLviPg7c5kphby67wTsb5rs6RVrB07dnz99dei7FRctugWq5iculKpNDAwcObMmaNHj05JSWHP3rS0tH79+rU4h4rtTnX+xBKt4X/H1/yUsyknaZ49zx9xLwidj0Mu+yEhIVx8+/Ztsap15rHmn/OW/I8TTs2x9ZFSFGX2DxO3/QAAAAAAAAAAAACcBxJlAACE3Lp1i4ujoqJMnrU8gcOZ8W/vmSw11SL+ukXN703yEwv0en07Z7uxyqlTp7gsGYlEMnXq1Li4uO7du3t6espkMoqiuPuUZWVlCxcutFvDiEO7RVhgYODatWvfeecddvOvf/3rp59+2vzHZ7Y71S2Z0Yd/ylmSuSIiJ2mePc8fcS8InY9DLvv81YKqqqpUKpUo820481jz22Y0Gs3+Ilb4T9WZjxQAAAAAAAAAAAAA7K8z3OIFALCdrKwsLn788cdNnu3WrRsXZ2RkdNBpRflHoVKpzB4FN7MZ+fXt2+aP1NfX2231BJqm09LS2Njb23vr1q0Csz5acqNUXI7qFktERkZOnDjxxIkThJCqqqqDBw8mJiaalLHdqV5ZWWm2TGNjIxc/9thjwoXZxW4EWDX6ojevbex5/oh7Qeh8HHLZVygUffv2LSoqYjevXbs2YsSI9lfrzGPNb1tTU5PZ+VqqqqosrM3ZjhQAAAAAAAAAAAAA7A+LhwEAtOrhw4cVFRXc5uDBg00K9O7dm4v5izR1LD169ODisrIys+X5fRIaGmrybK9evbj47t277W6dpcrKyrhbm0uWLBFeG5V/CPbhqG6x0Msvv8zFn3/+OX9xGZbtTnXu3r8A/h75pyuHP9uE2TwYS3JfOKI0r/3sef6Ie0HofBx12Z85cyYX792712xCmCWceaz5q01Z0s937twReNaZjxQAAAAAAAAAAAAA7A+JMgAArfrHP/7BxUOHDu3SpYtJgbCwMC6+dOmSfVolOv49+B9++MFs+ZycHC7u06ePybP8PmEnKbGP0tJSLh4wYIBwYWsHq/33pB3VLRby8vJKSEhgY6PR+NVXX5kUsN2pfubMGbPde/nyZS7mpylwvL29uVilUgnXlp+fb+fmtZ89zx9xLwi2Jkq+iFUcddkfMWIEtwZQcXHx9evX21+nM481Pz3l6tWrZstnZ2cLPOvMRwoAAAAAAAAAAAAA9odEGQCAll26dIl/Oy05Obl5GR8fn8jISDbet2+fwWCwU+NEFRgYGBAQwMbHjx/XaDQChfV6PZdF4e7uHh4eblLAy8uLy1O5ePGi3eZu0Wq1XMyfX6TFkseOHTNboUTy33+R7R9ZR3WL5WbNmsXFGRkZJqeB7U71pqammzdvChSgafpf//oXG3t6era4DAp3AhNCfv75Z4HadDrdqVOn7Ny89rPn+SPuBcEWxP3btJajLvtubm4LFizgNjdu3Mi/6Fmirq7u3r17/EeceawDAwO5JcYOHjxoNBoFCpeUlAjPOuPMRwoAAAAAAAAAAAAA9odEGQCAFvz000/r1q3jNp999tnWVlSZN28eGzQ1Ne3cudMejbOB2bNnswHDMF988YVAyYMHD3J3Z6dPn86/Y82ZO3cuF2/evFn4BqdY+KkSJjeDTaSnp1tyb1uhUHCxKAusOKRbLOfl5fXMM8+wsdFo/Oabb0wK2O5UT01NFeiNEydONDQ0sPFzzz1HUVTzMkFBQdzjzafD4fvyyy+t7fn2N08U9jx/xL0giE70v01rOeqyP2HCBC5fqqamZuXKlcIJH3x5eXmvvvpq8/mWnHasKYp67rnn2Li+vv706dOtlWQYZseOHWYrdNojBQAAAAAAAAAAAAD7wze/AAC/olKpUlNTV61axa3oERUV1eJ0Mtyzo0ePZuOsrKz09HSapoV3UVlZ+dlnn6nVarHa3H4TJ0708/Nj40OHDrU24Up2dvbnn3/OxnK5nLuLaSI6Onro0KFsXFBQ8N577wnczVWr1fwlrtqMv07HJ5980mIqDMMwX375ZVZWliUVymQyT09PNr5w4UL7W+iQbrEKdyOZEPL555+bzFdhu1P97t27W7dubTHzIzc3NzU1lY3lcvnUqVNbrEEqlXJtKygoOH/+fIvFvv/++8zMTOHG2KJ5orDn+SPuBUF0ov9tWstRl32KotasWePj48NuFhYWvvLKK4WFhcKvUqlUW7ZsaS2rxpnHesqUKe7u7mz84Ycf3rhxo3kZhmF2796dm5trtjZnPlIAAAAAAOfh6xUyb/ruIP/+jm4IAAAAAIBtIVEGAFwdwzBqtfr+/fvZ2dkrV6584YUX+PfPhg4dum7dOuEflL/xxhuPPfYYGx86dGju3LnffPNNeXm5TqdjHzQajWq1+u7du0ePHn3zzTeTk5MzMzOdakIRqVT6l7/8hdtMTU19//337969y6ab0DRdWlq6efPmDz74gCvzpz/9iT+vg4m3336buyV58eLFl19++ciRI5WVleztZLbPb968mZqampSUdPjw4fYfgpeX16hRo9i4pKQkJSUlNzeXuzHc2NiYm5u7dOnSPXv2EEISExMtqXP8+PFsUFBQcOTIEZVKxaVPtY39u8Uqvr6+EydOZGOapo8ePWpSwBan+rRp0wgh33333R//+Mdr166xVRmNxocPH+7YsYN/Wi5fvpy7a94cf8KV999/PyMjo7a2lh0vrVZ769atNWvWfPTRR1Kp1Ko732I1TxR2O39EvyCITvS/TWs56rKvVCo/+eSTbt26sZsqlertt99OSUk5c+ZMeXm5Xq9nH6dpuq6u7sqVK5s2bXrhhRdOnDjRWoXOPNbu7u5Lly7lNt9555309PSHDx+y3ajT6QoLC//85z8fOHCAEDJ9+nTh2pz5SAEAAAAAAAAAAADAzmSObgAAgF0lJCRwa6MwDCNw21KpVKakpIwePdrsWipyufzjjz9ev359Xl4eIaShoSEtLU3ENttH3759165du3btWrZPzp8/39q0HISQP/7xj0OGDBGojb2b+6c//amkpIQQolard+7caes1ShYvXpybm8uug/PgwQP+PVG+lJSUmJiY/fv3m61wxowZR44cYWOu/RKJhDslMjMzZTIr/pM6pFus8rvf/Y67p/7ZZ589/fTT/OQPW5zqI0aMiIyM3LhxY3Fx8YoVK1or9sorrwwbNkygnuDg4KSkpIyMDHYzIyODi/k2bNig0+ksn1dGrOaJwp7nj7gXBNGJ/rdpLQde9n18fFJTU1NTU0+ePMk+UlJSsmnTJuFXSSSSl19+OTIysvlTzjzWcXFx8+bN2717N7t56NChQ4cONS+2ePHi0NBQLjmstf/aznykAAAAAAAAAAAAAGBPmFEGAFyL0Wikf9FalkxYWNjy5cs/++yzMWPGmM2SYSkUivfee2/VqlXcohitoSgqPj5+69atXl5eVrfexmJjY//5z38OGDBAoEyvXr127Njx5JNPmq3Ny8tr69atycnJwrerY2Jitm3bZm1TW6RUKrdv396vX7/WCigUijVr1kyePNnCCgMDA9955x2Tc4B/CrWhkfbvFqsEBASMHTuWjXU63bfffmtSwBan+ujRo9esWdPadCweHh7r1683O10EIWTOnDkLFy5s7dmAgIDU1NT+/a2ePlqs5onCnuePuBcEcdnib9NaDrzsu7u7v/XWW1u2bImNjTVbWCaTvfjii3v37p0+fXprs6M581gnJia+++67rc3sIpVK//znP0+aNIn/D13gr8OZjxQAAAAAAAAAAAAA7AYzygCAS1MoFJ6ent27d+/evXtISEhERETv3r2VSmUbqqIoavjw4bt37753796FCxdu3bpVWFhYW1tLCAkKCurZs2efPn0GDx7cr18/Nzc3sY9DNH5+fhs3bnz48OHZs2evX79+48aNhoYGpVLZv3//gQMHjhw5skePHpbXJpFIZsyYMW3atNzc3KtXr16/fv3u3bs6na5r1659+vSJiYl54okngoKCRGy/j4/Ppk2bbt26derUqfz8fHbijaCgoIEDB8bFxcXGxlrb+aNGjdq7d++PP/544cKFO3fulJeXs+t0tIf9u8Uqc+fOzc7OZuNdu3bFx8ebdJotTvXHH398z54958+fP3fuXEFBQW1trbe3d2xs7BNPPDFixAipVGpJJRRFTZkyZcyYMdnZ2RcuXLh582ZjY2NAQEBUVNSTTz4ZExNjYT02ap5Y7Hn+iHtBEJct/jat5djLflhY2Nq1a1Uq1Y0bN/Ly8m7evFlRUVFbW+vm5ubv7x8REREeHh4dHR0eHm7JKerMYz1kyJAvvvjixx9/zMnJyc3Nra2t9fX1jYiIGDVqVFxcHJtDU1dXx5X39PQUqM2ZjxQAAAB8B/XWqxod3QpX5Na1q1wSZqPK2TfqUqnUwl8itV+w3LOLewdeQ1MV6Gls39KyATTlZq/ebhElocgvv19wl8h93H25p9wkcse0qSUy0oW4B5opJHEjPj0tqU1i9JB0D2/1aaXT/V4OAAAAwMVRDNO+990AAAAA1igvL3/ttdfY+P3334+OjnZsewCgoztw4MCuXbvY+PDhw3a7B2O5BQsWXLp0adGiRcnJyY5ui/NqaGjQaDRyudwJZ90DG1Gr1U1NTWwskUi6du3q2PaA3eh0uvr6eoqi/P39Hd0WsBO9Xs9PbPX19bXpQpngVCorKwkhPj4+zvyrIRCXp6dnY+P/T3pbtWrV+vXrHdsesJv6+nqdTufh4SH8AwboTFQqlVarZWOZTObr6ytcHjoNjUbT0NAglUr9/Pwc3RawE61Wq1KpuM2uXbu2Nn01dDJGo7G6upo4x6Cr1epx48YRQvbt2xce3nqOsmVwBgMAAAAAQAd25swZNggLC3PCLBkAAAAAAAAAAAAAcCpIlAEAAAAAgI6qsrKyuLiYjSdNmuTYxgAAAAAAAAAAAACA88M0pwAAAAAAZpw/f37Dhg1sPHHixJSUlDZU8n//93+HDx9m4z/+8Y9jxowRrX2uimGYbdu2cZvDhg1zYGMAAAA6nB8WfVT2/RU77IhhGKPRyG1KJBJMAuc6aJomzj3oCl+P/n1b/jVp+Hwx1xAxenrXxIaJWKHlPj7R73q5zm6709L//Xs/eez2O1WH21xV1ySl2kMjRqOgBQGKLksGPeXoVgAAAAA4BhJlAAAAAADMiI2NNRqNDMMQQo4fP/7qq6+6u7tbVQNN01999RV7n4AgpcMCDMOkp6c///zzXl5eLRagafrTTz+9ePEiuxkXFxccHGzHBgIAAHR4jWVV9YWljm4FgIPpA7x08laeaxA1RUOiNzB+YlZosQqV7m51o912xzD/jdUqbXlZfdvramJqif1a7mqcNn0NAAAAwA6QKAMAAAAAYIa7u/ukSZOOHz9OCGEY5urVq8OHD7eqhvz8fIPBwMbjxo1TKBTit7LTOXz48OHDhydMmDBhwoTQ0NAuXbpQFFVTU5OcnMz8gi0plUoXLlzo2NYCAAAAAAAAAAAAQIeARBkAAAAAAPOeeeYZNlGGELJ//35rE2UOHjzIxdOmTROzZZ3dd99999133wkUkMlkGzdu9PNzzM9zAQAAAAAAAAAAAKBjaXn5VQAAAAAA4AsLC+NSMQoKCmpqaix/rUqlunz5Mht36dIlIiJC/Pa5qtjY2F27dvXt29fRDQEAAAAAAAAAAACAjgGJMgAAAAAA5lEUlZiYyG2ePn3a8tf+5z//4eKEhASsBG8JiqK+/PLLDRs2zJ8/f9SoUaGhoV5eXoQQmey/k2K+/vrra9euZR8HAAAAAIB20jy8e2Xl5IY7+Y5uCAAAAACAbWHpJQAAALCr4ODgr776ytGtAGiLsWPH7ty5k40PHDgwffp0S1JeGIbJzMzkNsePH2+r9nU6Hh4eAwcOHDhwIP/B+vr6F198kY09PT0d0S4AAAAAgE6KYRjaQBjG0e0AAAAAALAtJMoAAAAAAFjEx8cnOjo6Ly+PEFJXV/fzzz+Hh4ebfdX9+/cfPnzIxv369evatatJAYZh7t2799NPP12/fv327dvV1dUymaxHjx4RERFDhgwZPHiwu7t72xrMMEx+fn52dvZPP/1UVVXl4eHRv3//YcOGjRkzRqlUtq3O9rDdkQIAAAAAAAAAAAAAWAiJMgAAAAAAlpo1axabKEMIycrKSklJMfuS48ePc/Fzzz3Hf0qtVn/77bf79++vr6/nP67T6QoLCwsLC7/55huKohYtWhQfHy88e01FRcXChQvZeN26ddHR0eXl5atXry4vL+dXm5OTk5OTs23btqVLl44dO7a12s6cOfM///M/bLxnzx7hrJq8vLzVq1ez8Y4dOwIDA5uXEeVIFy1a9ODBA4b389aNGzdKJC0sJpuZmcmt0CT6sQAAAAAAAAAAAABAh9bC18oAAAAAANCimJgYLgPj+PHjer1euDxN019//TUbUxQVGxvLf3b58uXp6ekmuSMmGIZJTU1du3at0WgULkb/ghBSVFS0YMECfpaMSeEPPvggKyvLwtrM4gozrUzSLsqRsrvgP8tvJ59NjwUAAAAAAAAAAAAAOjTMKAMAAAAAYCmpVDp16tRDhw4RQhiGuXLlyvDhwwXK5+fnGwwGNv7tb3/b4tJCoaGh06ZNi4yM9Pf39/DwIITQNF1TU5OTk7Nr1y6NRkMIuXz58p49e+bOnWtJI/Pz8zMzMxmGGTBgwLx588LDwz08PBiGqayszMzMPHbsGFts+/btcXFxvr6+1nRAu4h+pAAAAAAAAAAAAAAA1kKiDAAAAACAFSZPnswmyhBC9u/fL5woc/DgQS5++umnTZ4dMmTIihUrevToYfK4TCYLDAx85plnJk6cuHr16hs3bhBCMjMzp06d6ufnZ7aFGRkZhJB58+bNmjWLW8aIoqigoKCUlJRevXrt3LmTffDAgQOvvPKK2QrbT5QjTUtLI4TU1tbOmzePfWTZsmVjxoyxffMBAAAAAAAAAAAAoPNAogwAAAAAgBVCQkKCg4PZVY0KCgpqa2tbm5RFpVJdvnyZjf38/EJDQ00KJCcnC+9LLpe/++678+fP12q1hJCjR48mJSVZ0sjx48cnJia2+BQ7I86jR48IIceOHUtOTuaSaWxHxCOVSCQtxo5iNBqbmpqEy7CrODEMg+WcLIFeclkYetfBjTUGHQAAwLFs9L8Y/+JdFobedeAtvQsyGWt8zeU6+H/vDh90cRuARBkAAAAAAOs8//zzW7ZsYePTp09Pnz69xWL/+c9/+C9pWz6KUqlMSEhgJ4mxPFFGYJ4YiqISEhLY2Vk0Gk11dbW/v38bGia6th2pw925c+f5558XLtOnTx9CSFNTU1VVlV0a1YFptVo2WQpcjdFoxB+Iq2EYBoPucDqdztFNAHA8hmEIsXniOCHEaDTaYS8ton9ZDbbDMRppRzehM6Np2hb/i5uamsz+lgA6JYPBgHd3rsZGlxHoEGpqahzdBLA3Zxj0xsZGNhDlrbXjf4IJAAAAANCxjBw5kov379/fYiY7wzCZmZnc5tixY9u8u9jYWDaoqanRaDSWlPfy8hIoEBkZycXV1dVtbpjorD1SAAAAAAAAAAAAAABrIVEGAAAAAMA6SqUyLi6Ojevq6u7cudO8TGlp6cOHD9k4JiZGOHNFmI+PDxfX1dWZLT9s2DDLK6ytrW1zw0Rn7ZECAAAAAAAAAAAAAFgLSy8BAAAAAFht+vTpP/zwAxv/+9//TklJMSlw/PhxLp41a5ZAVQzDlJSU5OfnX7t27f79++Xl5SZLz/Bnkqyvr+/WrZtw24KDg4ULuLu7c7E911wQ/UgBAAAAAAAAAAAAAKyFRBkAAAAAAKsNGDDAw8ODXXn9+PHjr732mpubG/csTdNff/01G8tksujo6NbquXDhQlpaGjf3jFmW5LXI5XILa7MnWxypMwgICFi1apVwmUOHDhFC3N3du3TpYpdGdUharVav18tkMoVC4ei2gJ2wg87GFEV5eno6tj1gNwaDgV1fD1dFh5PJ8MUggP1QFOWoXUukUkftup0oCjPi25BEIhH3f3FTUxNN025ubs75mRRsQaPRGAwGNpZIJEql0rHtAbvR6/VarRaD7lK4z3EsT09PB763AXtiGEatVhPnGHSuAaK0BJ+HAQAAAACsJpFIZsyYkZGRQQhhGObKlSvDhw/nns3Ly6Npmo2fffZZaStfTO/YsYPLp+ncOvGRent7z5gxQ7hMVlYWIQQpIMIMBoNer5dKpegl10HTND9RBkPvOnQ6nUajwaA7A4kEd6AB7Je/4sD7Cg6/pdFmHbflHYLo/4t1Oh1N0/jg41L0ej0/UQZD71K0Wi3e0rsUrVbLT5SRy+X4NOEijEYjmyjjDIPOfeWORBkAAAAAAIeZOHEimyhDCNm/fz8/UebAgQNcPGnSpBZffurUKS53RCKRTJ06NS4urnv37p6enjKZjKIo7u1+WVnZwoULbXIMduE6RwoAAAAAAAAAAAAAzg+JMgAAAAAAbREYGBgeHl5cXEwIKSgoqK2t9fX1JYSoVKrc3Fy2zGOPPRYSEtL8tTRNp6WlsbG3t/fWrVv9/Pxa2xGXKe8QDMMIFxBunlMdaTuPBQAAAAAAAAAAAAA6AcyJBAAAAADQRomJiVx8+vRpNjh37hz34HPPPdfiC8vKytgpKwkhS5YsEcgdIYRUVFS0t6FW4q8VZTZ3pLKyUuBZhx+piMcCAAAAAAAAAAAAAJ0AEmUAAAAAANpo2LBhXLx//36GYRiGyczM5B4cOXJkiy8sLS3l4gEDBgjv5dKlS+1rptW8vb25WKVSCRfOz88XeNamR2p2hhgi6rEAAAAAAAAAAAAAQCeARBkAAAAAgDaSy+UTJkxg47q6ujt37pSWlj569Ih9JC4uTqlUtvhCrVbLxfwpT1oseezYMZHaa6mAgAAu/vnnnwVK6nS6U6dOCRQQ/Uglkv9+hDEYDGbLi3gsAAAAAAAAAAAAANAJIFEGAAAAAKDtpk6dysX//ve/jx8/zm1Onz69tVfxszfu3bsnUH96erol6SDiCgoKoiiKjb/66iuBkl9++aXRaBQoIPqRKhQKLuZykgSIeCwAAAAAAAAAAAAA0AkgUQYAAAAAoO3Cw8N9fHzY+Pjx419//TUbe3h4CKw0FBoaysWffPJJiwkiDMN8+eWXWVlZorbXIlKpdPTo0WxcUFBw/vz5Fot9//33/HWmWiT6kcpkMk9PTza+cOGC2fIiHgsAAAAAAAAAAAAAdAJIlAEAAAAAaDuKombNmsXGDMPQNM3GM2fO5C8SZMLLy2vUqFFsXFJSkpKSkpubq9Fo2EcaGxtzc3OXLl26Z88eQkhiYqIND6AVc+fO5eL3338/IyOjtraWYRhCiFarvXXr1po1az766COpVPrcc88J1GOLIx0/fjwbFBQUHDlyRKVSsQ2z9bEAAAAAAHRuim5hj2/4rkvvaEc3BAAAAADAtmSObgAAAAAAQMf25JNPpqenmzw4YcIE4VctXrw4Nze3oaGBEPLgwYO//OUvLRZLSUmJiYnZv3+/KE21XKNnZCwAACAASURBVHBwcFJSUkZGBruZkZHBxXwbNmzQ6XTCc7GIfqQzZsw4cuQIG+/cuXPnzp2EEIlEwi2xlJmZKZP995OOiMcCAAAAAAAAAAAAAB0dZpQBAAAAAGgXX1/fqKgo/iPh4eGBgYHCr1Iqldu3b+/Xr19rBRQKxZo1ayZPnixOK603Z86chQsXtvZsQEBAampq//79zdYj+pEGBga+8847XFoMy2g00r9o/hKxjgUAAAAAAAAAAAAAOjrMKAMAAAAA0F6JiYnXrl3jb1ryKh8fn02bNt26devUqVP5+fklJSWEkKCgoIEDB8bFxcXGxrq5udmqxRagKGrKlCljxozJzs6+cOHCzZs3GxsbAwICoqKinnzyyZiYGKlUamFVoh/pqFGj9u7d++OPP164cOHOnTvl5eUGg8E+xwIAAAAAAAAAAAAAHRrFMIyj2wAAAAAAANBpLViw4NKlS4sWLUpOTnZ0W5xXQ0ODRqORy+VeXl6ObgvYiVqtbmpqYmOJRNK1a1fHtgfsRqfT1dfXUxTl7+/v6La4OtXP5fp6tR12ZDAY2EUYWV5eXkhRdR21tbWEkC5duvBXxnQuFFEqWz4hFYGinqgUpe/iIWaFFiuvc2/SU+bLieQ3Yd2amhrZeMnit5f+8c9trkrih5/62pCMkgYrvUWssL6+XqfTeXh4eHp6ilgtODOVSqXVatlYJpP5+vo6tj1gNxqNpqGhQSqV+vn5ObotYCdarValUnGbXbt2lUiwcI1LMBqN1dXVxDkGXa1Wjxs3jhCyb9++8PDwdtaGt5kAAAAAAAAAAAAux6t3sH12pNfrJXV13Kavr6/z5kyA2IyVlYQQHx8fx86V6CQc1QU97XsTk79EqrePolcY7qECAAAAgNNBqhcAAAAAAAAAAAAAAAAAAAAAuAT8egMAAADAThobG69fv56fn3/z5s2Kiora2lo3Nzd/f/+IiIjw8PBBgwb17t3b4bMXQuej0WiSkpLYePHixePHj3dse2zq1q1by5cvZ+Nt27Y99thjjm0PAAAAgOg0t4obfrwkXKbrMA9KcKUdfVCQros9vhk2ujUSQhppuZS0vIzRgwZldoHCdg0I0tBMZaPt6ofmaJrhYqZRJVASAAAAAMBRkCgDAAAAYHMlJSW7du3KyckxedxgMJSWlpaWlp48eZIQIpfLZ8+ePXXqVIXCht8Ug1NJSkrSaDRsfODAARtlStE0zQZGo9EW9TsV7mAZhhEuCQAAANARNd0sevjpHuEyXX2CGVonUEDrO7FBb5cMBjdCCGk0EtLK+9C7db23ZdvwO+oplPTef+7Zrn5ojjb8d7ApJMoAAAAAgFNCogwAAACADen1+u3bt584ccKSwlqtdvfu3Xv27Pn9738/ZcoUSvhHoNAp0DTNJXYAAAAAAAAAAAAAAICtIVEGAAAAwFZUKtWyZcvKysq4R4KDg+fMmdOvX7+AgAC5XE4IMRgMdXV1RUVFx48fv3jxIiGEpum0tLSwsLCoqCiHNR0AAAAAAAAAAAAAAKAzQqIMAAAAgE00NTUtWbKkqqqK3VQqlatWrYqKijKZJ8bNzS0gICAgIGDEiBE1NTWffvrpmTNnHNFeAAAAAAAAAAAAAACAzk/i6AYAAAAAdEIMw7z33ntclkx4eHh6evqgQYOEV1Py8/NbtmzZ2rVr3d3d7dJMAAAAAAAAAEIIqVPd//zIyw+rCh3dEAAAAAAAm0OiDAAAAID4srOz8/Ly2Njb23vDhg1KpdLC18bGxu7cudPT09NmrQMAAAAAAAD4FYYQo5EmhHF0QwAAAAAAbA5LLwEAAACIzGAwpKamcpvLly9XKBRW1eDn5+fn5yd2uwAAAAAAAAAAAAAAAFwdEmUAAAAARHb+/HmNRsPGYWFh0dHR4tbPMMy9e/d++umn69ev3759u7q6WiaT9ejRIyIiYsiQIYMHD3b4yk00TV+5ciU7O/vGjRtVVVU+Pj4DBw6cNGlSTExM88WnqqurT58+nZOTc/fuXb1e37t372HDhsXHx/v4+Fi4Oxt1CMMw+fn52dnZP/30U1VVlYeHR//+/YcNGzZmzBjL5wcS0cOHDy9dunT16tW7d+9WVlZKJJLAwMDw8PBBgwbFxsYGBQWJshcn70yapi9duvTjjz/m5ubW1NT4+vr2799/5MiRTzzxhLUNs09/AgAAAAAAAAAAAICzQaIMAAAAgMgOHz7MxXPmzGmeGtJmarX622+/3b9/f319Pf9xnU5XWFhYWFj4zTffUBS1aNGi+Pj41vablZW1Y8cONt6yZUvPnj3N7pem6RdeeEGr1RJCBgwY8Le//Y17qqKiYuHChWy8bt266Ojo4uLi1atX81tYVVV15syZM2fOhIaG/vWvf/Xy8uKq/fTTT7/55hv+vgoKCgoKCj777LPFixdPmjTJDh3S4lGUl5evXr26vLycX2dOTk5OTs62bduWLl06duxY4baJSKVSffjhhxcvXjR5vKSkpKSk5PTp04SQyMjI3//+9xEREW3ei/N35s2bN9etW6dSqbhHKisrKysrz507J5fLV6xY8fjjj1tSj336EwAAAAAAAAAAAACck8TRDQAAAADoVHQ6XUFBAbcp7nQyy5cvT09PN8ljMMEwTGpq6tq1a41GY4sFxo0bR//iq6++smS/ly9fbmxsZF/y3HPPmeyOq40QkpeX9+abb7bWwrt3777xxhs6nY4QYjAY3nnnHZMsGb6tW7d+++23wg0TpUOaH0VRUdGCBQv4iR0mhT/44IOsrCzhtomlrq7u1VdfbZ7VYeLGjRtLly5tampq846cvDNPnDixbNkyfpYMn1arXbNmDZvjIsxu/QkAAAAAAAAAAAAAzgkzygAAAACIqaysjIv9/Py42VNEFBoaOm3atMjISH9/fw8PD0IITdM1NTU5OTm7du1iV326fPnynj175s6d2/zlSqXyqaeeOnnyJCHk2LFjr7zyikKhEN7jnj172EAul8fExLRW7OrVqwcOHCCEDB069IUXXujZs6ebm5tery8uLv7oo4/YnqmsrPzHP/7xhz/8YfPmzYWFhXK5PDk5ecSIET4+PhRF1dfXHz16lNvd1q1b4+LiunTpYtMOMZGfn5+ZmckwzIABA+bNmxceHu7h4cEwTGVlZWZm5rFjx9hi27dvj4uL8/X1NVthO61du7axsZGN4+LiEhISQkJClEolRVFGo7GhoYGdBIVrWDs5Z2fm5+dv2bKF25wwYUJiYmJwcLBEItFoNEVFRTt27Lh79+7mzZtnzZol3CQ79ycAAAAAAAAAAAAAOBskygAAAACIqbS0lIv79OkjbuVDhgxZsWJFjx49TB6XyWSBgYHPPPPMxIkTV69efePGDUJIZmbm1KlT/fz8mteTkJDAJsoQQs6ePTtx4kSBnZaXlxcXF3MvlEqlrZXMzMwkhCxcuHDKlCncg+7u7gMGDNiyZcuiRYsePnxICMnKyvL19T137lz37t03bdrEzyXy8fGZPXt2cHDw5s2b2UeOHDmSlJRk6w7hy8jIIITMmzdv1qxZ3AJDFEUFBQWlpKT06tVr586d7IMHDhx45ZVXhGtrp/v37xcVFbHx7373uzlz5vCflUqlPj4+Pj4+gwYNSk5OtnB+oNY4bWfSNP3+++9zm6tWrRo+fDi36eHhER0d/fHHH2/ZsuX7779nU7VaY8/+BAAAAAAAAAAAAADnhEQZAAAAADE9evSIi3v16iVu5cnJycIF5HL5u+++O3/+fK1WSwg5evRoi1kmoaGhISEh9+/fJ4RkZGRMmDCBS2Jojr860qRJk4Qb8PTTT/OzZDju7u6LFi1as2YNu8nmT/ztb39rccadsWPHfv755xUVFYSQf//73wKJMmJ1iInx48cnJia2+NTUqVMPHTrEjvKxY8eSk5MFuq79bt26xcXCc6V4eHjMnj27Pfty2s48ceKEWq3mGsnPkuFIJJI33njjzp07XFJXi2zRnxUVFRs3bhQuw7Zfq9UKr2zl4gwGAyFEr9ejl1wHu0Abi2EYDL3rYNfvw6C7FIZh+Jtqtdqm76A6PXaSP2EMwwh3sYE2iNWedjLQtE2/o2bfY4Cj0EYjrvaug/1z0+l0/Ld50Lnxr7E0TePv3XWwb+mNuMi7EpN12FUqFd7Suwju05wzDDo3U7jJCdk2SJQBAAAAEFNdXR0X+/v7278BSqUyISGBzUQRSGV48cUX//73vxNCHj169PPPP4eHh7dYTKfTHTlyhI0HDBgQEBAgvPf58+e39tSgQYP4mwkJCa3NR0JR1DPPPJOenk4IqaurU6lU7VnBysIO4ROYJ4aiqISEhLS0NEKIRqOprq626ShXVVWxgUKhcHNzs92OLOSQzty7dy8beHh4TJs2TaC2lJSUpUuXCjTGFv2pVqtPnz4tXIadXIqmaZ1OJ8pOOzGj0Yheck0Mw2DoXRAG3WXp9XpHN6FjEyXzw2hkzBeyC0aM77iF6mec5UhdE/7FuyCappEo45rw9+6CMOiuDG/pXZAzDLq41xyJiHUBAAAAAP/9okzmmKTk2NhYNqipqWnt96bDhw/nFlH617/+1VpV58+f57KzTdapaW7o0KFKpbK1Z93d3bt168ZtTpgwQaCqfv36cXFtba3wfs2ypEP4hYXzciIjI7m4urq6nW0TxrVEo9Fws6o4lp07s6qqistumTFjhsDKX4SQvn37ent7CxRwwv4EAAAAAAAAAAAAADtDogwAAACAmPjTVDhqlm8fHx8u5s9ww+fm5jZz5kw2zs7O5iYtNPHFF1+wgVwuj4mJEd7vkCFDhAt0796dix977DGBkvxDaH+ijCUdwhk2bJjltbW/bcIiIiK4eMOGDa0Nkz3ZuTPv3LnDxUOHDhWujaKoJ598UqCAE/YnAAAAAAAAAAAAANgZll4CAAAAEBN/Qouamhpb7IJhmJKSkvz8/GvXrt2/f7+8vFyr1fIL8FforK+v58/jwjdlypT9+/ez8alTp6ZMmWJSoKSk5P79+2yckJAgPJkHIaS1HXG4+WbkcrnwdDtyuZyLzU7qKFaHsIKDg4V35+7uzsW2nmA2LCwsJCSEHYXc3Nw5c+aMHj366aef7tOnj8DkPe3hbJ1ZVlbGxUFBQcK1kV8WOWqNLfpToVBws+y0hs3IkUgkzrB+ltOiadpoNEokErOXGug02EFnY4qiHDUNG9gfwzBsMjGuiq6DG3SWTCZz+Nr2HZpOjP+VEqcZAkpi219y4mRzLApXe1eCt/QuCG/pXZbRaKRpGoPuUthB5zbxlt6lsN/PO8ObOnHbgOsXAAAAgJgCAwO5+N69e6LXf+HChbS0tIcPH1pYXiCTIyAgIDo6Oi8vjxCSkZHx9NNPm3y8OXz4MBfHx8eb3Rc/u6VFkl++BFcoFGZrs5CIHcIyexT2RFHU2rVrFy9e3NTUxD5y9uzZs2fPEkL8/f2HDx8+bNiwyMhIT09PUXbnhJ354MEDLrYklyUgIEDgWVv0Z/fu3Xfu3ClcZsGCBYQQhULBn0EHTDQ0NGg0Gjc3N+HluqAzUavV3B8jRVH4A3EdOp2uvr4eg+5S9Ho9fyK6Ll264J5Kexg9PMzOamj2voXzDIHMxjfUnedIXZNUKsXV3nXU19frdDq5XC7WR1RwfiqVivt1Df7eXYpGo2loaJBIJBh016HValUqFbfp7e0tsXG6MzgJo9FYXV1NCPHy8nL4oHPv7UVpCT4nAAAAAIgpJCSEi2/fvi1u5Tt27Pj6669FrHDOnDlsokxdXd3NmzcHDBjAPaXRaI4fP87GkZGR/v7+Iu5XrLfUoneIEwoKCvrnP/+Znp7ODQerqqoqKysrKyuLEDJ06NCXXnqpV69e7dmRc3YmPxfHktPGbGqO3foTAAAAAAAAAAAAAJwTEmUAAAAAxNS9e3curqqqUqlUYs2OcOrUKS6PQSKRTJ06NS4urnv37p6enuxcl9zPRsvKyhYuXGhJnYMGDfLy8mJ/DbB///5Vq1ZxT7HTbLDmzJkjyiGIyxYd4pyUSuXrr7+enJx89erVc+fO5eTkmCyHdPHixYsXLyYkJMyfP79ts546bWfy12YyGo1mZ/A26ZkW2aE/AQAAAAAAAAAAAMBpIVEGAAAAQEwKhaJv375FRUXs5rVr10aMGNH+ammaTktLY2Nvb++tW7f6+fkJFLawWoqikpKSduzYQQjJycmpr6/39vYmhDAM88UXX7Bl5HL54MGD29V6G7BRhzgzpVI5cuTIkSNHMgxTW1tbXFx85syZ06dPc0f3r3/9q1evXuPHj7e2ZmfuzG7dunFxY2Oj2Rl9q6qqLKzZdv0JAAAAAAAAAAAAAM4Mi4cBAAAAiGzmzJlcvHfvXoZh2l9nWVmZWq1m4yVLlgjkMRBCKioqLK+Znwfw3XffsUFxcXFlZSUbJyQkmJ3Gw/5s1yHOj6IoPz+/IUOGvPnmm5mZmcnJydxTO3bsMBqN1lbozJ3JX8vs4cOHZssXFxdbuwvR+xMAAAAAAAAAAAAAnBkSZQAAAABENmLECLlczsbFxcXXr19vf52lpaVcPGDAAOHCly5dsrxmpVL51FNPsfG+ffvYtIADBw5wBeLj461oqL3YrkM6FplMNmPGDG6MGhsbq6urra3EmTszLCyMiy9fvmy2/MmTJ9uzO1H6EwAAAAAAAAAAAACcGRJlAAAAAETm5ua2YMECbnPjxo1ardaqGurq6u7du8d/hF+D8PwuWq322LFjVu0uISGBDdRq9bVr19Rq9dmzZ9lHoqKi/P39rarNPmzaIR3OyJEjuVilUln7cmfuzICAAG6Gm4MHDwov/FRUVFRXV9f+nbazPwEAAAAAAAAAAADAmSFRBgAAAEB8EyZM4GbmqKmpWblypUajsfC1eXl5r776qsnt+YCAAC42yaExkZ6ebjAYrGptaGho9+7d2Xjv3r38OTlmz55tVVV2Y9MO6XD4s5506dLF2pc7eWdyJ2FjY+PRo0dbK8YwzLZt20TZYzv7EwAAAAAAAAAAAACcGRJlAAAAAMRHUdSaNWt8fHzYzcLCwldeeaWwsFD4VSqVasuWLS1m1YSGhnLxJ5980mKyAsMwX375ZVZWVhsa/OKLL7JBXl7eP/7xDzZWKBTR0dFtqM0ObN0hTmLfvn15eXnC06g0NTV99tlnbKxQKPhZLxZy8s6Mj49XKpVsnJaWduXKleZl2CyZoqIi4ars058AAAAAAB2Rr1fIvOm7g/z7O7ohAAAAAAA2h0QZAAAAAJtQKpWffPJJt27d2E2VSvX222+npKScOXOmvLxcr9ezj9M0XVdXd+XKlU2bNr3wwgsnTpxosTYvL69Ro0axcUlJSUpKSm5uLpdP09jYmJubu3Tp0j179hBCEhMTrW3tE088wa25w6URJCQkCC/E40C27hAncfv27ZUrV86ePXvHjh25ubnV1dX8M6empubUqVOvvfZaTU0N++DChQspirJ2L07emTKZbMWKFdzmu+++u3379vLycqPRSAjR6XQ3btxYunQpuybU9OnTBaqyT38CAAAAAAAAAAAAgDOTOboBAAAAAJ2Wj49Pampqamoqt5hRSUnJpk2bhF8lkUhefvnlyMhIk8cXL16cm5vb0NBACHnw4MFf/vKXFl+ekpISExOzf/9+q5rq5uY2c+ZMk1fFx8dbVYmd2bRDnIpOp/v666+//vpr4WKTJ09+6qmn2rYLJ+/MmJiYP/zhD9u3b2c3s7KyWpzbZvHixWFhYYcPHxauzQ79CQAAAAAAAAAAAABOCzPKAAAAANiQu7v7W2+9tWXLltjYWLOFZTLZiy++uHfv3unTp0skpu/TlErl9u3b+/Xr19rLFQrFmjVrJk+e3LamTpkyhb8ZFRXVtWvXtlVlH7bukA7Ey8tr2bJlixYtavP0J87fmU8//fTf/vY3T0/PFp+VyWQrV66cNGmSKPtqf38CAAAAAAAAAAAAgNPCjDIAAAAANhcWFrZ27VqVSnXjxo28vLybN29WVFTU1ta6ubn5+/tHRESEh4dHR0eHh4cLL3Xk4+OzadOmW7dunTp1Kj8/v6SkhBASFBQ0cODAuLi42NhYNze3NjcyICBgwIABBQUF7OacOXPaXJXd2LRDnMHy5csfPXp07969O3fu/Pzzzw8ePHj06FFTU5PRaPTx8enVq9fAgQNjY2P79evXPLPKWs7fmVFRUZ9//vmFCxd+/PHHK1eu1NbW+vr6RkREjB49esSIEQqFwmwN9uxPAAAAABtRhIf6Py+03CQhhOrtSQgjUMDNLcRTZo9VVpuamgghcrm8tfdX3b28Xxwmt10DemjogYFdbFc/NPdlFmWgf9nwQOcDAAAAgDOiGEboIxMAAAAAuAiGYebOnVtfX08IUSgUGRkZwlk7AGChBQsWXLp0adGiRcnJyY5ui/NqaGjQaDRyudzLy8vRbQE7UavV7N1TQohEInHyacxARDqdrr6+nqIof39/R7cF7ESv19fV1XGbvr6+Mhl+vOcqKisrCSE+Pj4Oz7oGu/H09GxsbGTjVatWrV+/3rHtAbupr6/X6XQeHh6tTQUKnY9KpdJqtWwsk8l8fX0d2x6wG41G09DQIJVK/fz8HN0WsBOtVqtSqbjNrl274mdmLsJoNFZXVxPnGHS1Wj1u3DhCyL59+8LDw9tZG85gAAAAACCEkJs3b7JZMoSQWbNmIUsGAAAAAAAAAAAAAAA6H/x6AwAAAAAIIeTIkSNcPGnSJAe2RCyNjY3Xr1/Pz89vca2rQYMG9e7d225Z8BqNJikpiY0XL148fvx4++zXErdu3Vq+fDkbb9u27bHHHnNse6zlzH0LAAAAHQvdoDY2Npk8SFFE1sX0TSOtcBdnj0ZKbaBEqco51ek1hBBG5y4z6h3dFocxqglldKFp3flT2Ku1hop6TdvqkbsZ3d0IIUQhVUgo/OIXAAAAAMSERBkAAAAAJ5KUlKTR/PdrxPj4+D/84Q9mX1VRUbFw4UKuhueff97a/dbV1Z05c4aNY2JiOvr6FyUlJbt27crJyTF53GAwlJaWlpaWnjx5khAil8tnz549depUhUJhh1bRNM0GRqPRDruzCte2DrowqzP3LQAAAHQglbv3VX152ORBz8jgnpN1/EeMXl0fjYwQZY8VTf7br+vMl4OOrOvBLmXFdebLdRZ6Hc3Fe6+Wn97+n7bV89wwj75hxYSQyT2nebl5i9M4AAAAAABCCJZeAgAAAHAq9K9lZWVVVlaafRXDMNxL2pYo8MUXX3DxSy+91IYanIRer9+yZUtKSkrzLJnmtFrt7t27k5KSvvnmmw6aIAIAAAAAAAAAAAAAAFbBjDIAAAAATm3nzp0rVqywXf2NjY1ZWVlZWVnsZlRUVJ8+fWy3O5tSqVTLli0rKyvjHgkODp4zZ06/fv0CAgLkcjkhxGAw1NXVFRUVHT9+/OLFi4QQmqbT0tLCwsKioqIc1nQAAAAAAAAAAAAAALALJMoAAAAAOLUffvjh/v37ISEh4lb74YcfsssP8UkkkrffflvcHdlNU1PTkiVLqqqq2E2lUrlq1aqoqCiKovjF3NzcAgICAgICRowYUVNT8+mnn3JrTgEAAAAAAAAAAAAAQKeHpZcAAAAAnN22bdvssBeKotavX+/v72+HfYmOYZj33nuPy5IJDw9PT08fNGiQSZaMCT8/v2XLlq1du9bd3d0uzQSbUCgUX/1i4sSJjm4OAAAAAEDHU6e6//mRlx9WFTq6IQAAAAAA9oBEGQAAAABn5OnpOX78eDbOy8srKiqy0Y4kEkloaGhSUtLu3bujo6NttBdby87OzsvLY2Nvb+8NGzYolUoLXxsbG7tz505PT0+btQ4AAAAAAMCpMYQYjTQhjKMbAgAAAABgD1h6CQAAAMAZURT10ksvff/99+zmJ5988uGHHwrPj2KVt95666233hKrNscyGAypqanc5vLlyxUKhVU1+Pn5+fn5id0uAAAAAAAAAAAAAABwOkiUAQAAAHBSvr6+M2bMOHToECGkuLg4Pz9f3BlfaJq+du3alStXrl+/fu/ePYPB4O/vHx0d/Zvf/GbYsGEdaDWi8+fPazQaNg4LC7PFvDgMw9y7d++nn366fv367du3q6urZTJZjx49IiIihgwZMnjwYFt0l1gDRNP0pUuXfvzxx9zc3JqaGl9f3/79+48cOfKJJ55oc7MfPXp07ty5GzduFBQUqNVqhULRr1+/gQMHjhw5snv37m2okGGY/Pz87Ozsn376qaqqysPDo3///sOGDRszZozlkwNZshf7jyMAAAAAAAAAAAAAOBUkygAAAAA4rzlz5hw+fJhhGELIJ5988r//+7+iTCrDMMzRo0fT09O1Wi3/8bKysrKysmPHjkml0tdee+23v/1t891pNJqkpCQ2XrJkyVNPPdXiLk6ePLllyxY2pigqMzNTKpW22JLf/e53bJrLjBkz5s+f34bDOXz4MBfPmTNHxHl3CCFqtfrbb7/dv39/fX09/3GdTldYWFhYWPjNN99QFLVo0aL4+Hixdt2eATJx8+bNdevWqVQq7pHKysrKyspz587J5fIVK1Y8/vjjVrWtrq5u48aN3EJXLJ1Od/HixYsXL+7evTs8PPzPf/5zUFBQazVUVFQsXLiQjdetWxcdHV1eXr569ery8nJ+hTk5OTk5Odu2bVu6dOnYsWMFmsQ/JxcvXsytWcbnkHEEAAAAAAAAAAAAACckcXQDAAAAAKBVSqXyhRdeYOMHDx5cuHCh/XU2NjYuW7Zs+/btJkkYfDRNb9++ff369TRNmzylUChCQkJomqZp+syZM63VcObMGfoXBoOhtLS0xWKPHj1Sq9VssSFDhrThcHQ6XUFBAbcp+nQyy5cvT09PN8muMMEwTGpq6tq1a41GY/v32M4B4jtx4sSyZcv4WTJ8Wq12zZo1p0+ftrxteXl5L730kkmWjIni4uLfZTWkUgAAIABJREFU//73586da60AwzDcuUEIKSoqWrBgAT9LxqTwBx98kJWVJdwwrsLWhsD+4wgAAAAAAAAAAAAAzgkzygAAAAA4tenTp+/bt0+n0xFCUlNThwwZ0uLULBbSarVvvPFGRUUFuxkYGDh//vzBgwd7e3tTFKXVagsLC3fu3Hn37l1CyMWLFzdv3rx8+XKTSp588sndu3ezBWiabt4emqYvXrzIf+TKlSuhoaHN25Ofn8/Fffv2bcMRlZWVcbGfn5+Xl1cbKjErNDR02rRpkZGR/v7+Hh4ehBCapmtqanJycnbt2sXOiHP58uU9e/bMnTu3PTsSZYBY+fn53KQ+hJAJEyYkJiYGBwdLJBKNRlNUVLRjx467d+9u3rx51qxZlrTtzp07K1eu5DZjYmLmzZsXGhrq5uZmMBju37+/Z8+e8+fPs8/+/e9/X79+fUxMjHCd+fn5mZmZDMMMGDBg3rx54eHhHh4eDMNUVlZmZmYeO3aMLbZ9+/a4uDhfX19L2inAbuMIAAAAAAAAAAAAAE4LM8oAAAAAODW5XJ6cnMzGNTU12dnZ7alty5YtXBLGlClTduzYMXbsWF9fX4lEQlGUQqEYPHjwxx9/HB8fz5Y5e/Zs8+lD+Iv1lJSUNN9L8/ljTp061WJ7zp49ywahoaEKhcLq4/n1vvr06dOGGoQNGTJk27ZtW7dujY+P79mzp1KppCiKoiiZTBYYGPjMM8989tlnkZGRbOHMzMyampr27E6UASKE0DT9/vvvc5urVq164403QkJCpFIpRVEeHh7R0dEff/wxu0rRgQMHzDaMpum1a9dymy+//PL69esjIiLc3d0pinJzcwsLC1u5cuXrr7/OlXn//ffZBC8BGRkZBoNh3rx5f//73wcNGsR2r0QiCQoKSklJefXVV7mSljRSgJ3HEQAAAAAAAAAAAACcFmaUAQAAAHB2kydP/uyzz9RqNSEkLS1t9OjRbm5ubainqKiIWyxp+PDhCxYsoCiqeTGJRJKSklJYWHjnzh1CyEcfffTpp5/yS/Lnhrly5UpYWJhJDVeuXGGD+Pj448ePE0KKi4s1Go1JKgx/4pknn3yyDUdECHn06BEX9+rVq22VCOCylFojl8vffffd+fPnsyslHT16NCkpqW37EmuACCEnTpxgTxj2EIYPH95iPW+88cadO3eKi4vNtu3777+vqqpi48mTJ8+cObPFYvHx8RUVFZmZmYQQjUZz4MABs70xfvz4xMTEFp+aOnXqoUOH2CE+duxYcnJyix1iCduNo1qt5ubRaY1eryeE0DRtNnPIlbErXhmNRvSS6+AvHscwDIbedRgMBjbAoLsOk8Ui9Xq90y502PK6lkyzB5hmD7WVeDWB8xLxhHEpRub/Xyj0er2Owb+MDoA91fGW3qXw/6HjLb1LYd8yYdBdCvc5jqXX69v8NR10LNxbWWcYdO6aI8obbCTKAAAAADg7qVS6cOHCzZs3E0IaGxuPHj06bdq0NtTzxRdfcPEbb7wh8L6WoqjFixcvXbqUEPLo0aPS0tKePXvy2xMTE5Obm0sIOXnyZPOcCW7+mMmTJz969IjNm7l9+3ZUVBS/GH82Gv4sNVapq6vjYn9//7ZV0k5KpTIhISEjI4O0L1FGrAEihOzdu5cNPDw8BM4WiqJSUlLYeoRxFRJCXn75ZYGSs2fPPnjwIPvh+cCBA7Nnz5ZIhKaxfOWVVwSal5CQkJaWRgjRaDTV1dU2HeK2jWNFRUVrq19x2LmOtFptfX19+9vZuen1ejavCFwNwzD4A3E1GHRXxqXzOqEWb/Y0T+sRMe/BaGwpNQc6F6fNDHNyXOJaQ0ODUYJkow5Dq9WyPz8AV0PTNN7duRqj0YhBd1kqlcrRTQB7c4ZBb2xsZANRPpFh6SUAAACADmDMmDFcisA///lPjUZjbQ1NTU3c9C3jxo3z8vISLt+3b18PDw82/uGHH0yeHTt2LBvcuXPHpDEajYaboSQsLGz06NFsfOHCBZNKrl69ysVtngyGf09dJnNYFnhsbCwb1NTUtGF0iKgDVFVVxc3+MmPGDKlUKlyPt7e38L4qKyu5mXvGjx+vVCoFCru7uz/77LNsrNPp2GlvWhMbGyt8pNxySISQ6upq4Xa2X/vHEQAAAAAAAAAAAACcHBJlAAAAADoAdrUdNjYYDAcPHrS2Bn6+wpgxY8yWpygqOjqajQsKCkye5Z4ihBQVFfGf4rJkoqKi3NzcuJInT540qYSbeCY2NlY4mUMAfxUqkylA7cnHx4eL+ZPcWE7EAeJXNXToULP1mF336t69e1zMZT4JGDFiBBebnB4mhg0bJlwVv2Nra2vN7rqd2j+OAAAAAAAAAAAAAODksPQSAAAAQMcwZMiQkJCQ+/fvE0L27t377LPPenp6Wv7y0tJSLrZw+paePXvm5OQQQm7evGnyVLdu3dzd3dmp6XNycgYNGsQ9xc0cM27cOH7Jmpqauro6LhGBP/GMJbkXreHPhlJTU9PmeoQxDFNSUpKfn3/t2rX79++Xl5ebTCXNn029vr6+W7du1u5CxAEqKyvj4qCgILP1sAsDCWDPOlb37t3NVhgcHMzFd+/etbBki9zd3bm4/ete22EcAQAAAAAAAAAAAMDJIVEGAAAAoGOgKOr1119fsWIFIYRhmC+++OLVV1+1/OUlJSVcvGTJEolEQn5Zy5NhGC4ghBiNRjbgloRXqVQMw1AUxW/MqFGj2EliTp48mZyczD3FzRMzePBgk5I3btzg5hq5ffs29xL+/DTWCgwM5GL+xCciunDhQlpa2sOHDy0s37Z8DhEH6MGDB1xVwssksQICAoQL8Cs0u04TIYSfwsVPsmlOLpebrU0sNhrHnj17fvXVV8JlVq9eTQhRKBR+fn4W7t0FNTY2arVad3d3q1IAoUNramri1jiTSCT8KZ2gc9Pr9Q0NDYQQXBVdh8Fg4K9n7+3t3ebZBG3NoFA0NntQIjWdk5t9qyYKiURKCC1WbeCcnPaEd3Lc0rre3t5ebuY/hoDDNTQ06PV6uVxuyedQ6BzUajX32VkqlVryjQF0DlqttrGxEZ/jXIpOp1Or1dymj4+PiG+JwZkZjUZ24m1nGHTuR5WitASJMgAAAAAdRlRUVL9+/QoLCwkhR44cSUxMtPwOU1NTExdzNybbY+TIkWz6S11dXW1tra+vLyGk/v+xd+dxUZX7H8CfMzPAzCBbCKkgIIIiLoRbgtpChlmU5vIzu4VKiya5JGkZpqJ5K5dKTU3s2s20VMQtvS5pmspVETSERBFNRJF9G5ZhmJnz++O593Quy5lhZpgZ4PP+w9f3nHnOc75znsM4w3x5nsrKkpISQohEIunatWuDlhcuXOAKZVJSUmhga2trzLwdHh4eXMwvvjGV+Pj4w4cPm7zbxkw4QPwKD30+M+isVqmvr+di7rfVAvgnbTBli6W03jja2NjonGWHfjUiEonwHYkAWunFMAyuUsfBr78k+BKxI6GFnvh571D4c7YR6/4/scFLk1nOaOYTArQZDPnPj4dYLLbaFw3goy+h1vwiDybX4E+qMPQdB/3NDwa9Q2nwO0axWGzxmgkwD+6l3hoG3bSvOSiUAQAAAGhLoqOj586dS+Nt27bFxMToeaA+9Q0tEhAQwMWZmZkhISGEtwZQaGgo9x6aa5mUlDRv3jy6n5t4Zvjw4cZ8IcGvUSgpKVEoFA4ODgb31sCZM2e46gqRSBQRERESEtKtWzd7e3uJRMIwDJd5Xl7ezJkzjTmXCQeIv1yRVqvV+flBZy2LjY0NF3PT2AjgfxlmzjljmmPOcQQAAAAAAAAAAAAAK4dCGQAAAIC2pEePHgMHDrxy5Qoh5Lfffvvb3/7WpUsXfQ7kz9ry008/Gb+4iZOTk4uLS1lZGSHk3//+Ny2UuXDhAn00NDS0cUuVSlVQUNClS5eKigo68QwhhB5oMKlU6ufnl52dTTf/+OMPbtIaI2k0mi1bttDY0dFxw4YNAvP36FM+IsyEA8TvqqamRucsuNxY6NOhQqHQmRt/Ilads620NjOPIwAAAAAAAAAAAABYOcyJBAAAANDGzJgxg4u/+eYbPY/q0aMHFxcVFZkkk6effpoGSUlJLMuyLHvu3Dm6JzAwsMmW165dI7yJZ8j/zkxjmJdffpmLd+3axbKskR1SeXl5XMHHnDlzhFe5KigoMPJ0Jhwg/nJUhYWFOtvfuXNHuIGnpycX5+Xl6eyQfzW8vb11tm9VZh5HAAAAAAAAAAAAALByKJQBAAAAaGO6du36xBNP0PjKlSt3797V5ygfHx8uTk1NNUkmgwcPpoFarc7Pzy8qKqKL+Li4uDg7OzfZklbSXLx4kW42bmmAYcOGcev73Llz5/r160Z2SN2/f5+LdVbzGH9JTThA/K7o5EPCTp8+LdzAy8uLi7lJgwQkJydzcc+ePXW2b1VmHkcAAAAAAAAAAAAAsHIolAEAAABoe9544w0u3rRpkz7rxTg5OfXp04fGe/bsUavVxqfh5+fHxdeuXcvIyKDxk08+2VzLtLS0uro6buKZxi0NYGNjw59lZ9WqVbReR38VFRX37t1rsJPfiVgsFji8rq7u+PHjLTpjYyYcoM6dO3Pzpuzfv1/49sjOzq6oqBDu0M3NrXPnzjQ+ceKEUqkUaFxfX3/o0CEa29ra+vr66pt36zDzOAIAAAAAAAAAAACAlUOhDAAAAEDb4+Li8sILL9D4xo0bv/zyiz5HRUZG0qC2tnbr1q3GpyGVSrnJS86ePXv+/HkaDx06VKDlwYMHudqFIUOGGJ8GIeSZZ57hJgspKyuLjY0VLubgS09Pf+uttxQKRYP9XGkIIaRxGQ3ftm3bTFJ4ZMIBmjx5Mg1qamqOHTvWXDOWZTdt2tSiDlmW/fHHHwVa7t+/nxvfsWPHikQW/sRh/nEEAAAAAAAAAAAAAGuGQhkAAACANunVV1/l4n379ulzSN++fUeMGEHjo0ePbtu2TedUNMXFxT/88EN1dXVzDZ566ikapKenp6Sk0Jg/0wzn6aefpsHOnTu5nU22NADDMMuWLXNycqKbWVlZb7zxRlZWlvBRCoVi/fr1zVXVeHt7c/HXX3/dZAkFy7K7d+8+evSoEbn/xYQDFB4eLpfLabxly5arV682PpZWyWRnZ+uT26hRo7hZag4cONDczCtnz57dsWMHje3s7CZNmqRP563K/OMIAAAAANDmODt4RI7d7u7a29KJAAAAAACYAwplAAAAANokBweHKVOmtPSouXPndu3alcYHDhx4/fXXjxw5kp+fr1Kp6E6tVltdXZ2Tk3Ps2LF58+ZFRUUlJCRotdrmOhw4cGCDPT4+PlKptHHL4OBgGrAsSwNvb2+ZTNbSp9AcuVz+9ddfP/roo3RToVC8//770dHR586dy8/Pr6+vp/s1Gk1FRcXVq1dXr179t7/97eTJk8116ODgMHz4cBrn5uZGR0enpaVxJTU1NTVpaWkxMTG07mfixIkmeRamGiCJRLJo0SJuc+nSpZs3b87Pz6ctVSpVZmZmTEwMrXcZO3aszsTEYvHHH3/MbW7cuHHlypU5OTm07kSj0dy/f3/t2rVr1qzh2nz44YdN3glmZpFxBAAAAAAAAAAAAACrJbF0AgAAAABgoJdffjkhIaFFi8XY2dmtW7duxYoV6enphJCqqqotW7YYk0P37t0b7OFmjtHZkpuNxlScnJw2bty4cePG06dP0z25ubmrV68WPkokEk2fPr1Pnz6NH5o9e3ZaWlpVVRUh5OHDh/xKEb7o6OigoKC9e/calz4hJh2goKCgd955Z/PmzXTz6NGjTc6YMnv2bB8fn4MHD+rs0M/PLy4uLi4ujlbbXLp06dKlS801nj9//qBBgwzL3OTMP44AAAAAAAAAAAAAYLUwowwAAABAWyWVSqdPn27AUZ988snixYu5hYqawzBMeHj4hg0bHBwcmmsjFosbTCrDzRxjcEtj2Nravvfee+vXr9enc4lE8tprr+3atWvs2LEiURNvjOVy+ebNm3v16tVcD1KpdNmyZaNHjzYq6UZ9mmqAxowZ8+mnn9rb2zf5qEQiiY2NffbZZ/XPLTg4+LvvvgsICBBo4+XlFR8fb/IqKGNYZBwBAAAAAAAAAAAAwDphRhkAAACANuy5557bsWNHbW1ti45iGGbo0KHbt2+/d+/e5cuXb926lZWVVV5eTghxd3fv3r17z549BwwY0KtXLxsbG529jRgx4sqVK9xm45ljmmvp7e3dorT15+PjExcXp1AoMjMz09PTb968WVBQUF5ebmNj4+rq6u/v7+vr279/f19fX7FYLNyVk5PT6tWrb926debMmYyMjNzcXEKIu7t7YGBgSEhIcHCwPpeopUw4QH379t2xY8fly5cvXrx49erV8vJyZ2dnf3//ESNGDBs2zIClkVxcXFatWlVYWHj+/Pnr169nZmZWVVXJ5fLevXsHBgaGhoZ6enoa+LRbk0XGEQAAANockVQqdnJssFMslxNb2//ZZWMvYkyzxKSEse1kw5ikK+tEJyNssiq945Db2zg42lk6C/NheHe0VCJylhn4TltqI7YT2xFCGNKef0YAAAAAwCIYlmUtnQMAAAAAAEC7NWPGjNTU1FmzZkVFRVk6F+tVVVWlVCrt7OwEprCCdqa6upor9BSJRI888ohl8wGzUalUlZWVDMO4urpaOhcwk/r6+oqKCm7T2dlZIsEf73UUxcXFhBAnJyfUJXcc9vb2NTU1NF68ePGKFSssmw+YTWVlpUqlkslkzU1rCu2PQqGoq6ujsUQicXZ2tmw+YDZKpbKqqkosFru4uFg6FzCTuro6hULBbT7yyCMdvBK649BqtaWlpcQ6Br26uvrJJ58khOzZs8fX19fI3nAHAwAAAAAAAAAAAAAAAAAAAECHgL/eAAAAAACANkypVE6ZMoXGs2fPDgsLs2w+AAAAAAAAAAAAAGDNUCgDAAAAAGCNrly5wp+lfMGCBaGhoRbMx5ppNBoaaLVay2YCAAAAzbnx912ll28SQiQSCcMwlk7HugQ+7kZqqlt6lNtAF5mvpjXyaUhio+rXv8q2tkUHpRZ1Ti+tqa+vJxj0dkomsv09vVPj/SoNy8X//u3up4tPCHTStYe8x/NK0yYmIqKRXVE9DwAAAABCUCgDAAAAAGCNEhMTufoPQsiePXtQKAMAAABtV+X1nJKk65bOwkr1fKSHuqi4pUd17u7DOla2Rj4NSWRqTXeVpqRFBxXU2mZVtOwQaFsese2Ueq++8X4t+1ehTGlRzY2MAoFOtCLXTrVlpk1MxIhM2yEAAAAAtD94ywgAAAAAYHUqKirS09P5e+7cuVNc3OKvTwAAAAAAAAAAAAAAgA+FMgAAAAAAVufs2bONd546dcr8mQAAAAAAAAAAAAAAtCcolAEAAAAAsC4sy+7Zs4fGffr0CQ4OpvH+/fu1Wq3l8gIAAAAAAAAAAAAAaPNQKAMAAAAAYF3+/PPPiooKGk+YMGHs2LE0rqmpycrKslxeAAAAAADQfpTdffBtWGT+tZuWTgQAAAAAwNwklk4AAAAAAAD+x+HDh7n4scceE4lEIpGIziVz8ODBgIAAy6UGAAAAAADtBctq1RpLJwEAAAAAYAEolAEAAAAAsCIqlerkyZM0DgsLs7W1JYSMHj366NGjhJCkpKSamhq5XG5AzyzLZmRknD179tq1ayUlJTKZrHfv3kOGDBk5cmSLOtRoNJcvX05OTv7999/Ly8tdXFx69eo1fPjwoUOH0mxbqqioKCkpKTMz88aNG9XV1VKptFevXoGBgaGhod26dTOgw+awLHvv3r1r165dv3799u3bpaWlEonE09PT399/0KBBAwYMMCx/AAAAAAAAAAAAAGhDUCgDAAAAAGBFLl++zMXPP/88DZ577jlaKEMIuXjxYlhYmHAnBQUFM2fOpPHy5cv79++fn5+/ZMmS/Px8ro1KpUpOTk5OTt60aVNMTMwTTzyhT3rp6el///vfq6uruT1FRUW00sXOzu6jjz4KDg6+devWwoUL6aObNm3q2rVrc71VVFSsWrUqPT2dv1OlUqWkpKSkpGzfvt3X1/ejjz5yd3fXJzcB1dXVv/zyy969eysrKxucKysrKysr68iRIwzDzJo1Kzw8nGEYI08HAAAAAAAAAAAAAFZLZOkEAAAAAADgLwkJCTSQy+X+/v409vHxcXR0pPGePXt0dsKyrOa/CCHZ2dkzZszgV8k0aLxmzRquEEfAzz//HBsby6+S4aurq1u6dOmZM2cIIdzZWZZtrrf09PRp06Y1qJJp4M6dO2+++WZSUpLO3IQtXLhw27ZtDapkGmBZduPGjXFxcXSVKwAAAAAAAAAAAABolzCjDAAAAACAtSguLr5z5w6Nx44dy01twjDM+PHj//nPfxJC8vLyHj58KDBNSwMZGRkJCQksywYEBERGRvr6+spkMpZli4uLExISjh8/Tptt3rw5JCTE2dm5uX5SU1O3bt3KbY4ZM2bs2LGPPvqoSCSqq6u7ffv2P/7xj+zs7C+++GLChAk6s7p7925sbCy3GRQUFBkZ6e3tbWNjo1arHzx4sHPnzkuXLtFHP//88xUrVgQFBen5lJvj7e394osv9unTx9XVVSaTEUI0Gk1ZWVlycvL333+vVCoJIVeuXNm5c+frr79u5LkAAAAAAAAAAAAAwDphRhkAAAAAAGtx6tQpLn766af5Dz355JNczFW36OOnn35Sq9WRkZGff/55v3795HI5wzAikcjd3T06Ovqtt97iWiYmJjbXSX19/eeff85trlix4p133unWrZtYLGYYRiqV9u3bd+3atREREcL9UBqNJi4ujtucPn36ihUr/P39bW1tGYaxsbHx8fGJjY199913uTYrV65UqVT6P+sGBg0atGnTpg0bNoSHh3fv3p1eBIZhJBKJm5vbCy+88MMPP/Tp04c2TkhIKCsrM/hcAAAAAAAAAAAAAGDNUCgDAAAAAGAVtFrtvn37aNytW7cuXbrwH3V1dfX19aXx4cOH6ZpKegoLC5s4cSI3Pw1fRESEm5sbjY8fP97cSknHjx+nE64QQqKjo5uc3IVhmLfeeqtv37468/n1119LSkpoPHr06JdffrnJZuHh4ZMmTaKxUqnUWX8jICoqytPTU6CBnZ3d0qVL7ezs6OaxY8cMPhcAAAAAAAAAAAAAWDMsvQQAAAAAYBVu3rxZW1tL44kTJzZuMGHChNWrVxNCVCpVRkaG/ksRvfHGG809RBd12rJlCyFEqVSWlpa6uro2bpaQkECDTp06jRo1SqC3GTNmzJkzRzifXbt2cfH06dMFWk6ePHn//v1qtZoQkpiYOHnyZJGotWr95XL5+PHjf/rpJ0LIsWPHpkyZos9Rf/75Z2RkpHCbbt26EUJqamq48iBojBZp1dXVGTN1ELQt/Mo8rVaLH5COhmVZDDoAR6ttQQ00h75HMgOWZdXqemLbsqPU6vrWSQeshcag+7aB1riN8V+MpdB3d0qlkvsrC+hQ1Go1fvQ6Go1Gg0HvsDAZcwdkDYNeU1NDA61Wa3xvKJQBAAAAALAKhw4d4uJhw4Y1bjBkyBAu3rdvn56FMsHBwQ4ODgINuCWHCCFNFsoUFxdzH4RefvllsVgs0JuPj4+rq6vAL0qKi4uLiopoHBYWJpfLBXqztbV96aWX6EQ7KpXq7t273LQ6rSE4OJgWypSVlSmVSqlUqvMQlmW58iZ9GhuVX8eAq9RhYeg7IAw6QBuCn1doW/BfjAXh4ndkGP0OCIPeYWHoOyBrGHTT5oCllwAAAAAALK+mpiYpKYnGwcHBnTp1atxGKpUOHz6cxlevXlUoFPr0zC+vaZKTkxMXl5eXN25w9+5dLg4ODtZ5xpEjRwo8eu/ePS4eMWKEzt74NUPZ2dk62xuDfykqKipa9VwAAAAAAAAAAAAAYBGYUQYAAAAAwPIuXrzIxWPHjm2uWUREBFdPc+7cueeff15nz126dBFuYGv71zT6Ta568+DBAy52c3PTeUbhSV/4vdE1iYTx88/JydHZXgDLsrm5uRkZGX/88ceDBw/y8/Pr6ur4DfiTdlZWVj766KPGnA4AAAAAAAAAAAAArBAKZQAAAAAALG/37t00EIlEAwYMaK5ZQECAra0tLWfZu3fvmDFjGIYR7tnOzs7I3AoKCrhYeKUkqvHiTXwPHz7kYkdHR5292dvbczG/yKalLl++vGXLlsLCQj3bN1kz1JiLi8uMGTOE25w7d44QYmNjo8/V67BUKpVarRaLxcbfsdBW0EGnMcMwMpnMsvmA2Wg0GlqniFfFjkOr1SqVSktnYdV0vqNr+iiRmSYLZwgRi1t8LpFIaL1OaAcMu28bELXCbcwwDP6LsYi6ujqNRiORSPh/jAHtG/8tvUgk0mf9Ymgf1Gq1SqXC57gOhfscR8lkMpO8EwDrx6073/4GHYUyAAAAAAAW9uDBA658ZPTo0RJJs+/SxWJxRETEvn37CCHFxcX37t3z9vZu7fT4JSP6/CJbuNChvr6eiwWeaZNnbDABjP7i4+MPHz5s2LHCXFxc3nrrLeE2KSkpBIUyumi1WrVaLZFIcJU6DpZl+YUyGPqOQ6VS1dXVYdA7lPr6ehTKCGMYQ2oFxOYqlCEMY0DVS2sUQIBVERl03zbspHXuE/wXYxFqtVqj0eCDT4ei0Wj4hTIY+o5DqVSqVCoMeodSV1fXoFAGb/Y6CK1WyxXKWHzQWZalgUkyQaEMAAAAAICF/fLLL1x89OjREydOCDTmLw/0r3/965133mnFzAghhNjY2PDPLhbr+JpEeC4Wfm8ajUbn2fnP17C5Rs6cOcNVyYhEooiIiJCQkG7dutnb20skEoZhuD+GyMvLmzlzpgGnAAAAAAAAAAAAAIC2AoUyAAAAAACWpNFoDh061GCPnsceP378zTff5JeetIZHH32Ui2tra3XjS2gSAAAgAElEQVSerqSkRM/eFAoFf2WlJlVXV3Nxt27dhBs3ptFotmzZQmNHR8cNGza4uLgING5p/wAAAAAAAAAAAADQtmBOJAAAAAAAS0pPT+dmKm4prVZ79epV0+bTmIeHBxcXFRXpbH/37l2BRz09Pbk4Ly9PZ28FBQVcbMA6U3l5eVypzZw5cwSqZBqcCwAAAAAAAAAAAADaJcwoAwAAAABgSYmJiVy8a9cufVZ31mg0EydOpNOf7N27d+jQoa2Y3/+Wp/z+++89e/YUbn/27FmBR728vLj4woULAwcOFO4tOTmZi3WeurH79+9zcUBAgHDj1NTUlvYPAAAAAAAAAAAAAG0LZpQBAAAAALCYysrKtLQ0Gg8ePFifKhlCiFgsDg8Pp/GNGzfKyspaKz9CCCFubm4ODg403r9/v1arFWicm5srPOuMm5tb586daXzixAmlUinQuL6+nluXytbW1tfXtwV5E0IIqaur42KxWCzc8vjx4y3tHwAAAAAAAAAAAADaFhTKAAAAAABYzLlz57j4+eef1//AUaNGcfHp06dNmVMjDMNMmjSJxpWVlb/99ltzLVmWjY+P19nh5MmTufY//vijQMv9+/dzlS5jx44ViVr8+YUryiGE3Lt3T6Dltm3bDF4DCwAAAAAAAAAAAADaChTKAAAAAABYBsuye/bs4TYHDBig/7E9e/a0s7OjcWJiIsuyJk7ufz3//PO2trY0/vLLLzMzMxu3YVl2+/bt3AQ5AkaNGuXi4kLjAwcONDePy9mzZ3fs2EFjOzs7rlinRfjrRn399ddNlsKwLLt79+6jR48a0D8AAAAAAAAAAAAAtC0olAEAAAAAsIycnBxu1aThw4dzlSj6EIlEo0ePprFCocjOzjZ9fjy2trYxMTHc5gcffLBt27bCwkK6DJNKpcrKyvroo48SExMJIWPHjhXuTSwWf/zxx9zmxo0bV65cmZOTQ6tYNBrN/fv3165du2bNGq7Nhx9+KJVKDcjcwcFh+PDhNM7NzY2Ojk5LS+PWe6qpqUlLS4uJidm5cychZOLEiQacAgAAAACgLXLp4fn22Z1dBvS2dCIAAAAAAOYmsXQCAAAAAAAd1JEjR7j4ueeea+nhYWFhhw4dovHPP/88f/58k2XWlJCQkMjIyO3bt9PNAwcOHDhwoHGz2bNne3t7Hzx4kG4yDNNkb35+fnFxcXFxcbTU5tKlS5cuXWru1PPnzx80aJDBmc+ePTstLa2qqooQ8vDhQ36NDl90dHRQUNDevXsNPhEAAAAAAAAAAAAAWD/MKAMAAAAAYAEqlerEiRM0ZhgmMDCwpT306NFDJpPR+MyZM9wsKa1n4sSJS5cubW5mF7FY/NFHHz377LO09oWSSJotzQ8ODv7uu+8CAgIEzujl5RUfH//UU08ZmjIhhMjl8s2bN/fq1au5BlKpdNmyZdwMPQAAAAAAAAAAAADQjmFGGQAAAAAAC7hy5QrLsjR+6qmnbGxsWtoDwzDPP/88Xe2IEHL58uWRI0eaMsWmDBo06Mcff7x48WJycnJaWlp5ebmzs7O/v//w4cNDQkJoDU1FRQXX3t7eXqA3FxeXVatWFRYWnj9//vr165mZmVVVVXK5vHfv3oGBgaGhoZ6eniZJ28nJafXq1bdu3Tpz5kxGRkZubi4hxN3dPTAwMCQkJDg42IDrDwAAAAAAAAAAAABtEcP9dh4AAAAAAMB4iYmJ33//PY0PHjzY3OpLHceMGTNSU1NnzZoVFRVl6VysV1VVlVKptLOzc3BwsHQuYCbV1dW1tbU0FolEjzzyiGXzAbNRqVSVlZUMw7i6ulo6FzCT+vr6ioqK8t9vq0oUhBB7e3uxWGzppKyL4yM2ItLiX9LadSKSzuYp9mW0Lo5qccve1BUpxeUqUllZSQiRy+UCEw1CG8VqRZUVTdyBo/p5KWtraPz2m/Oi33lfoBM7e5FTdxN/Q8EwzKOyrqbtE/RRWVmpUqlkMpnw30tAe6JQKOrq6mgskUicnZ0tmw+YjVKprKqqEovFLi4uls4FzKSurk6hUHCbjzzyiEiEhWs6BK1WW1paSqxj0Kurq5988klCyJ49e3x9fY3sDZ9PAAAAAADAlM6dO0cDHx8fVMkAAAAA5fxYz/8Ezs6omWhzxIS0tLjJ05542pNijS0hxMnJCRP4tU9NVTyKeJ8A3Lt0GjDQw2zpAAAAAADoCaVeAAAAAABgMsXFxXfu3KHxs88+a9lkAAAAAAAAAAAAAAAawF9vAAAAmFVBQcHMmTNpvHz58v79+1s2n7ZCqVROmTKFxrNnzw4LC7NsPubUcZ77rVu3Fi5cSONNmzZ17Wpdc2WvWrXqwoULhJClS5c+9thjrX26Vhp3fbo15mWKZdlNmzZxm0OGDDEiWRPQ+Xx///33uLg4QkhISAh3+wEAAICVU5y/pFFUNfeo7bAuxOE/v/P8U2FboTLxqi5alW1puYWXjmII61xYa9kc9FRVVUUIkclKsd5Wx6HV/vVDV1lffldxW+ch3cuLRFq1wWdkHLqQR/wMPhwAAAAAOiAUygAAAOhlypQpSqWyyYfEYrGDg0OPHj18fX2HDBni5+cn8BtAlmU1Gk2rpdmecddNq9VaNhM+/o2RmJjYSot0Wudzbw3cM2VZE3+fYaSsrKzz588TQry8vIKCgpps09KbQalUfvjhhzk5OXTTxcXliy++4K/n3UrjrrPb5l6mWJbdtm3b//3f/zk4ODTX87fffpuSkkI3Q0JCunTpYoqUjSL8fIOCgrp165abm3v+/PmXX37Z39/fvNkBAACAIYq++0mZfbe5R932vqJWVdD4dJ53emmpac/uIfE4eNbCn+k6iRmf8/ctmwNAc9T1f73xLqh7mFJ0UechXW5etlVWGn7KHk8xKJQBAAAAgJbA0ksAAAB60TRPpVKVlJSkpKTs2bNnwYIFr7766q+//mptX/NDK+HfCZbOBVoLy7Jffvkljd955x2GYZps1qKboaqqas6cOXfu3KHtXV1d161bx6+SsU4HDx7829/+tm7duoyMDIVCQV/oNBpNWVnZ6dOnZ8yYceTIEdpSLBZz09JYM4ZhuDy/+uorvHQDAAAAAAAAAAAAtHuYUQYAAMDEamtrv/rqq1OnTsXFxUkk+K8WoM27ePHigwcPCCFeXl6BgYHGd1heXj537tyysjK66enpuWbNGrlcbnzP5nHq1KlTp04JNJBIJKtWrXJxcTH5qSsrK6dOnUrjBQsWhIaGGt9nv379PDw8Hjx4kJube/ny5aFDhxrfJwAAAAAAAAAAAABYLXx7BwAA0GL79+/nL67EsmxdXd29e/d27tx59epVujM9PX3Dhg3vvfeehXIEANNgWTY+Pp7G06ZNa246Gf0VFRXNnTu3qqqKbvr5+X366ad2dnZGdms9goOD33///eaWZzKeydfnYhgmMjLy008/JYRs2bJlyJAhxo8yAAAAAAAAAAAAAFgtFMoAAAC0WIPvUBmGkUqlvXr1iouLO3z4MPed+unTpyMiIvz9/S2RY3sjlUoPHTpk6SygI7py5UpJSQkhRCaTBQcHG9nbgwcP3nvvPaVSSTf79++/bNkyGxubxi1b6Z43pluGYXbv3v3nn39mZmZmZ2ffv3+/tLRUoVBIJJLOnTsHBAQEBASEhIS0xkQyBtPz+Q4dOtTOzq6urq6oqCgtLe2xxx4zQ24AAAAAABZUoXjw85nF4aGL3F17WToXAAAAAABzQ6EMAACAKUVERFy5ciUlJYVu7tu374MPPrBsSgBgjH/+8580GDduHH8qKQP8+eef8+fP5yZEGTp06KJFi4zs08xkMllgYKBJ1p+yKmKx+IUXXti3bx8hZPv27SiUAQAAAIB2jyVEq9UQYpppGgEAAAAA2haRpRMAAABob15//XUuTkpKMtXiIABgfnl5eTk5OTR++umnjekqMzNz3rx5XJXMk08+GRsb27aqZNq3Z555hgbZ2dkFBQWWTQYAAAAAAAAAAAAAWg9mlAEAADAxLy8v/mZFRYWzs7PwISzLZmRknD179tq1ayUlJTKZrHfv3kOGDBk5cqRcLm/R2YuKipKSkjIzM2/cuFFdXU3XhAoMDAwNDe3WrVuLutJoNH/88cfVq1evX79+7949tVrt6urav3//xx57bMiQIba2ti3qjTLhM21zCgsLU1NTf//995ycnOLiYpFI5Obm5uvr269fv+DgYHd3d+NPwbLsvXv3rl27dv369du3b5eWlkokEk9PT39//0GDBg0YMMCwUSMmGjiNRpOamnrx4sW0tLSysjJnZ+fevXuHhoY+/vjjBiRmhutJCDlx4gQNXFxcunTpYnA/V65cWbZsGbc5ZsyYmTNnNljEzVQ0Gk16enpSUtL169cLCwvVanVgYODKlSuN7La+vj45OTkpKenmzZt0+IKCgh5//PEhQ4boWe7TevenSXh6enbq1KmqqooQcuLECX7JIwAAAAAAAAAAAAC0JyiUAQAAMDGxWCyXy2tqauhmdXW1cKFMfn7+kiVL8vPzuT0qlSo5OTk5OXnTpk0xMTFPPPGEPuetqKhYtWpVeno6f6dKpUpJSUlJSdm+fbuvr+9HH32kTwEBy7LHjh3btm1bXV0df39eXl5eXt7x48fFYvHbb7/93HPPCXzTX1BQMHPmTBovX768f//+xjxTpVI5ZcoUGs+ePTssLKxBg3/84x+HDx+m8auvvjpp0iSBJ1hWVjZjxoz6+npCiL29fXx8fKuW6SgUii+//JJbkIuTm5ubm5v722+/EUL69Onz5ptv+vv7G3aK6urqX375Ze/evZWVlfz9KpUqKysrKyvryJEjDMPMmjUrPDxcuD7DtAPHuXnz5vLlyxUKBbenuLi4uLg4KSnJzs5u0aJFAwcO1PPJmuF6UizL/utf/6JxeHi4wf2cO3du9erV3ObEiRNff/11nVUyOu950tRgZWVlLV++vMFtQG91/bttLD09/ZNPPqmtreX2FBcXnzp16tSpU/b29rGxsf369RM43CT356xZsx4+fMifo2vVqlUiURMTZCYkJEgkkpY+X4ZhRo0adeDAAULIkSNHXnvttVaqZAIAAAAAAAAAAAAAy8LSSwAAAJaUnZ09Y8YMfgkCH8uya9asOXr0qM5+0tPTp02b1qBKpoE7d+68+eabSUlJwl3V1NQsWLBg8+bNDapk+DQazebNm1esWMGtI9Nk8pr/IqZ4plxvWq228aPTpk3r3r07bfDDDz/cuHFDoJ/FixcrlUraeOnSpa1aJVNRUfHWW281rupoIDMzMyYmhl+I0CILFy7ctm1bgyqEBliW3bhxY1xcXJMXkN/MtANHCDl58uSCBQv4VTJ8dXV1y5YtowUuOpnnelL3799XKpU01r+Op4Hjx4/zq2SmTp0aGRmpZwWG8D1PGg1WSkrK+++/L3wb6NNtA8nJybGxsc1dzOrq6o8++oirKGqSSe7Pxjnznz5fkwfq83yHDBlCg5qamry8POHGAAAAAAAAAAAAANBGYUYZAAAAE9NoNNx0MoQQe3v75lpmZGQkJCSwLBsQEBAZGenr6yuTyViWLS4uTkhIOH78OG22efPmkJAQgWlp7t69Gxsby20GBQVFRkZ6e3vb2Nio1eoHDx7s3Lnz0qVL9NHPP/98xYoVQUFBTXZVV1c3d+7cgoICuunm5jZ16tQBAwY4OjoyDFNXV5eVlbV169acnBxCSEpKytq1axcuXKjzmpjqmQoQi8UrVqx44403VCoVIWTJkiX/+Mc/HBwcGrf85ptvcnNzaTx16lQjJx3RKS4ujrsfQkJCxo8f7+HhIZfLGYbRarVVVVV0EhTuIhjD29v7xRdf7NOnj6urq0wmI4RoNJqysrLk5OTvv/+e1nxcuXJl586dei4rY5KBy8jIWL9+Pbf5zDPPTJw4sUuXLiKRSKlUZmdnx8fH5+TkrF27dsKECTpTMuf1zMjI4OIGS6rpad++ff/85z+5zVmzZj333HPGJ9ak1NTU/fv3E0L8/PymTZvm5+dHB6uwsFBneZxwt/v27SOEeHp6zpgxo1evXlKpVKvV5ufnJyYmnjx5kjb75ptvunbtGhwcLNCVye9Pk+OPckZGhoeHh0XSAAAAAAAAAAAAAIBWhUIZAAAAE+OKMCgnJ6fmWv7000+EkMjIyAkTJnAzTDAM4+7uHh0d7eXltXXrVrozMTHxjTfeaLITjUYTFxfHbU6fPv3ll1/mNm1sbHx8fGJjY0+cOPH111/TnStXrtyxY4etrW3j3tavX89VyTz//PNvvfWWWCzmHpVKpQMGDFi3bt2mTZtOnDhBCDl//vyYMWP69+/f3HM04TPVycnJ6eOPP/74448JIUqlMi4urvHKLBcvXuRKKIKCgsaPH2/YufT04MGD7OxsGr/66quvvPIK/1GxWOzk5OTk5NSvX7+oqKhDhw4ZfKJBgwYtWrTI09OzwX6JROLm5vbCCy+MGjVqyZIlmZmZhJCEhISIiAgXFxed3Ro/cBqNZuXKldzm4sWLhw4dym3KZLL+/fuvW7du/fr1v/76a2JionA+ZrueFFdeJpfLBSremsSy7A8//JCQkMDtWbBgwciRI41MSQAtZxk3btz06dP5g9WlSxd9KpCEux05cuT8+fO5VwOxWOzh4TFnzpzQ0NDly5fTnZ9++unOnTttbGwad2KS+3PLli2EkPLy8sjISLrH5JfU0dHRzs6OTqZ16dKl0aNHm7BzAAAAAAAAAAAAALASKJQBAAAwsZ07d3Lx448/LrzGSlhY2MSJE5t8KCIi4sCBA0VFRYSQ48ePR0VFNdnVr7/+WlJSQuPRo0fzq2T4wsPDCwoK6Nf2SqUyMTFxypQpDdpkZ2efO3eOxkOHDp0xY0aTZxSJRNHR0VlZWXfv3iWEfPXVV99++63OpWSMf6b6CAoKmjBhAq23yMrK2rFjB/edOiGkuLj4s88+o7GDg8NHH31k8In0dOvWLS4WLlaQyWSTJ082+ERRUVHCDezs7JYuXTp16lRaBHDs2LHGN0CTjBy4kydPVldXc0nyq2Q4IpFo7ty5d+/evXPnjnAyZruehBCWZdPS0mgcEBDQ0sPXrVt35swZbnPZsmUGL96kv6CgIH6VjKl4enrGxMQ0qDmjBg8e/Pbbb8fHxxNClErlv/71r7FjxzZuZsL7k59GkykZg2EYPz+/P/74gxBy7do1PY8qLi7+9ttvhdvQhatUKlVVVZWRSbZj9fX1hBC1Wo2r1HGo1WouZlkWQ99x0LXwMOgdSoMFEGtqaoz8f1x4RUWN5q9HNfqtNdkiAuvPmg3LspZOAcCUjLyl6+vrVfg/xQrQd3cqlQqvUR0H/y09nejXgsmAOdG3Qxj0DqXBe+Dq6urW/tU6WAnuv3VrGHRusnnhj4R6QqEMAACAKR0/fpybhYLo+i6fECIwewrDMOPHj6eTKCiVytLSUldX18bNdu3axcXTp08XONfkyZP3799PP8EmJiZOnjy5wa+nf/zxRy6eO3euwJsehmFmz54dExNDCCkqKrp//3737t0FTk1M8Uz19Prrr6enp2dlZRFC9u7dGxwcTCe8UavVsbGx3PunTz75hC7+0qq4GiapVNrkTBvmJJfLx48fTyeJ0b9QxsiB4+5PmUz24osvCnQVHR1N7ygB5ryetbW13Mc/Hx+flh7OVckwDPPZZ5/16dPHdKk1a+bMma3xWSU6Olrgq6wxY8bs2LGDfkTZvXv3Sy+9ZFgOht2fJtezZ09aKKNSqWpqauRyuc5DKisr9+7dq7NbQoharaYrTIEAjUZjDd8+gvmxLIsfkA4Ig95h0cVSjSH8W1GW1erZ0oizm7hgFwCModFo8H+K9cBb+g5Lq9XiJ7Gjwee4joz+tRt0KNYw6KZ9zcGHOgAAABNQqVR37txZuXLlxo0buZ3Dhw8XnogiODjYwcFBoAH/y/XS0tLGDYqLi+l8HoSQsLAw4e90bW1tX3rpJS5hOh8Mp7a2NiUlhcZPPvmkcGKEED8/P67Q5MKFC8KNjX+m+hOJREuXLpVKpXQzLi6uoqKCEPL1118/fPiQ7nz77bd79OhhzFn0xD1rpVLJTaxiQcHBwTQoKyvT5z2lkQNXUlLClbaMGzeOv4xXY35+fo6OjsL5mPN6lpeXc/Gjjz5qTFfmqZFyd3f38PAwebdSqTQwMFCggVgs5pYwq6qqys/PN/hcLb0/W0OXLl24mL50AAAAAAAAAAAAAEA7g0IZAACAFhs/fvzLPC+99NLEiRPnzZvHn0umV69e7733nnA/Q4YMEW7g5OTExfyv7Tn37t3j4hEjRujMfNiwYVycnZ3Nf4hfNzNy5EidXTEMQ2dqIYTcuHFDuLHxz7RFHBwcli9fTmOVSvXxxx8fO3bs119/pXsGDx78wgsvGHkKPfn7+3PxZ599xk0MaCn866xPEYCRA8e/qQYPHizcFcMwTz31lHAbc15P/syxOit4GuvatSsNWJaNiYm5ffu2yTJrhj4/tgYYMWKEzhli+KtK6Vw/S0BL78/WwB9rzB4MAAAAAAAAAAAA0C5h6SUAAIAWE56+WyKRvPnmm88995zAYiUUf+qCJtna2nJxk/OTP3jwgIu7desm3FuDM+bk5PAfun//Phd7eXnp7IoQ0r179+TkZELIzZs39T9vk3Q+05YKCAh47bXXduzYQQi5e/fupk2b6H4XF5cPPvjAbEtp+vj4eHh40GFKS0t75ZVXRowYMWbMmJ49e+qzpEtLsSybm5ubkZHxxx9/PHjwID8/v8F0iPxbt7KyUudEKUYOXF5eHhe7u7sLd0X+uzyNAHNeT/6MNfb29i09fM2aNbGxsbRUiNbKfPHFF76+vibMsAGdy58Zhl+c1Bz+jcR/JWnA5Pdna+DfSHoWykgkEk9PT+E29L8DhmGE51Xq4LRaLcuyDMPo/N8T2g066NwmfkA6DpZl6Ws+Br3j4AadEolERr4hFz6cIQzLi405kQFnBwDzwzttK4G39B0Q3tJ3WPTdHX7eOxSTv6WHNoQuqmgNL/KmzQGFMgAAACZgb2/v4+Pj5+c3dOjQgIAAPVdasbOzM/K83FpCRL9JL/jf9/OLbAghubm5XDxnzhz6IYd+1mVZlgsI7zMwt+a0QqGgvwpp7rzGP1MDTJo0KS0tLT09nb/zk08+MWcyDMPExcXNnj27traW7jl//vz58+cJIa6urkOHDh0yZEifPn0MqMNo7PLly1u2bCksLNSzvT4FSUZeK/79qU8hS+fOnYUbmPN68pdUN+D9t729/erVq99//31akabVaufPn9+qtTIuLi6t0a2bm5vONtwqbOR/B52vNe7P1sAfa/49IMDLy+vAgQPCbWbMmEEIkclkrTRM7UNVVZVSqbS1tdW59h+0G9XV1dzruUgkwg9Ix6FSqSorKxmGwaB3HPX19fzp4hwdHSUSo34nWSYW1zf/qFgiVv83lkhM/8tciURCiF7vE1oPvpaAdsbIW9rOzk6K/1OsQGVlpUqlkkqlJvlUDm2CQqHg/gZGIpE4OztbNh8wG6VSWVVVhc9xHUpdXZ1CoeA2nZ2dUSbVQWi12tLSUkKIk5OTxQed+8Ndk2SCQhkAAIAW279/vzUUzxJC6uv/+v2wPr9r5r97aDCXA/dNFSFEqVSaIjsLYxhm1qxZ77zzDrdn6tSprTTrhgB3d/fvvvtu27ZtJ06c4O8vKSk5evTo0aNHCSGDBw+eNm2anhP5NCk+Pv7w4cPG5mpq/FoHfd656lOXY57rSf43YT0LJhqws7OjtTJ0iTRaK/PVV1/5+PgYk1hzjPy2qTn8SYOaw389bPDCQlnn/dkkIwukAAAAAAAAAAAAAMD6oVAGAACgxaznr/f4U9fo810+f3bEBkUJrfQtuwWxLMutuESdPHly3Lhx5v/yWy6Xv/vuu1FRUb///ntSUlJycnKDYoKUlJSUlJTx48dPnTrVgLvrzJkzXBWCSCSKiIgICQnp1q2bvb29RCJhGIbrMy8vb+bMmcY/Iz3xayy0Wq3OK99kjUVjrX09qU6dOnExfxmmFpFKpWvWrImJiaEzNmm12nnz5rVerUxr0GdmF/4LS+PCGqu9P5tUU1PDxfx7AAAAAAAAAAAAAADajfb2lRgAAECH8uijj3KxQqHQObct//v+bt26NdfVTz/91A6myd27d2+DdZcePHiwefPmd9991yL5yOXy0NDQ0NBQlmXLy8vv3Llz7ty53377jatw2rdvn5eXV1hYWIu61Wg0W7ZsobGjo+OGDRsEpjw1bGYUg/FvqpqaGicnJ+H2JSUl+nfeSteTwy+S4E8r2lJSqXTt2rX8Wpn33nvvq6++8vb2NrhPcyouLtbZhl9c0rVrV/5D1nx/NqmyspKLUSgDAAAAAAAAAAAA0C5h8TAAAIA2zNPTk4vz8vJ0ti8oKODiBt/T9+jRg4uLiopMkZ0lZWVl/fDDDzT29vbu378/jU+cOPHvf//bcnkRQgjDMC4uLoMGDZo3b15CQkJUVBT3UHx8PH9yDn3k5eVx9U9z5swRXhiYfwOYgYeHBxcXFhbqbH/nzh0DzmLa68nhr6udn59vWCcUrZXhflo1Gs28efPoekzWLzs7W2cb/isG/0WJWPf92ST+WOss7QIAAAAAAAAAAACAtgiFMgAAAG2Yl5cXF1+4cEFn++TkZC7u2bMn/yH+WjCpqakmSM5yqqurP/74YxpLJJIVK1YsXrzYwcGB7vn888+tpxJIIpGMGzcuPDycbtbU1JSWlraoh/v373NxQECAcGMzjyz/prpy5YrO9qdPnzbyjMZfT45MJuPWivrzzz+NTEwqlX7xxRdc5ZBGo5k7dy6dY8bKnTt3jmVZ4Tb8weWX3JFWvj91JmaA27dv00AikcjlcpP3DwAAAAAAAAAAAAAWh0IZAACANszNza1z5840PnHihFKpFGhcX19/6KIsQs8AACAASURBVNAhGtva2vr6+vIfdXJy6tOnD4337NmjVqtbIV9zYFk2Li6utraWbi5ZssTZ2Vkmk33yySdcg9jYWKt6gqGhoVzc0lV+6urquJgr7Giu5fHjx1uamzE6d+7MzSCyf/9+4YV1srOzKyoqTHJeY64nh2GYfv360fjmzZvGZyWVSr/88ss2VytTW1sr/PQ1Gs2+fftobG9v32BNN5PfnyLRX59fTP5TzLIsN4POgAEDTNs5AAAAAAAAAAAAAFgJFMoAAAC0bZMnT6YBy7I//vijQMv9+/dzX1qPHTuW/30zFRkZSYPa2tqtW7eaOlMz+fHHH2/cuEHjcePGPfbYYzTu0aPHW2+9ReP8/PwNGzZYJr+m8Gc96dSpU4uO5SqlCCHCq/ls27bN/OVB3P1ZU1Nz7Nix5pqxLLtp0yZTndSY68k3bNgwGtTU1FRVVRmb1n/nleFKSdRq9dy5cx88eGB8z61q48aNAitYnTx5krs4kyZNYhiG/6jJ70+pVMrFJp8aSqFQcC+S3OgDAAAAAAAAAAAAQDuDQhkAAIC2bdSoUdykHQcOHGhuSoazZ8/u2LGDxnZ2dpMmTWrcpm/fviNGjKDx0aNHt23bJjwFCCGkuLj4hx9+qK6uNjB7U/vjjz92795NYz8/v2nTpvEfjYiIGDx4MI1Pnz7922+/tXY+e/bsSU9PF76MtbW1P/zwA42lUim/sEAf3t7eXPz11183WWrAsuzu3buPHj3aop5NIjw8nFu/ZsuWLVevXm3chlbJcDN5CDDD9eTr378/FwsXeehPJpN9+eWXbatWJicnZ8OGDU3WyqSlpW3cuJHGdnZ2ERERDRqY/P6USCT29vY0vnz5sj6H6C8nJ4eL+/bta9rOAQAAAACsirODR+TY7e6uvS2dCAAAAACABaBQBgAAoG0Ti8Uff/wxt7lx48aVK1fm5OTQL6Q1Gs39+/fXrl27Zs0ars2HH37In5WBb+7cuV27dqXxgQMHXn/99SNHjuTn56tUKrpTq9VWV1fn5OQcO3Zs3rx5UVFRCQkJArNNmJNCoVi2bBmN7ezsli1b1mDWHIZhFi5c6OTkRDfXrl2bn5/fqindvn07NjZ28uTJ8fHxaWlppaWl9fX19CGNRlNWVnbmzJm33367rKyM7pw5c2aDCTl0cnBwGD58OI1zc3Ojo6PT0tK4RbhqamrS0tJiYmJ27txJCJk4caJpnpjeJBLJokWLuM2lS5du3rw5Pz+f3jMqlSozMzMmJoYWeI0dO1a4NzNcTz5PT09bW1saX7lyxeB+GqC1MtwPmkqlsuZamRdffJEQcurUqfnz5//xxx/0pUCr1RYWFsbHx/NffBYuXMhdLk5r3J9hYWE0uHHjxs8//6xQKFiWNepJ/ldqaioNpFKpp6enSfoEAAAAAAAAAAAAAGsjsXQCAAAAYCw/P7+4uLi4uDhafHDp0qVLly4113j+/PmDBg1q7lE7O7t169atWLEiPT2dEFJVVbVly5bWyNnktFrt0qVLuWVTlixZ4ujo2LiZVCr9+9//Hh0dTTdjY2M3b97c+Nt901KpVIcPHz58+LBws9GjRz/99NMG9D979uy0tDS6/M3Dhw/5tQt80dHRQUFBe/fuNeAUxggKCnrnnXc2b95MN48ePdrk3CGzZ8/28fE5ePCgzg5b+3pyRCLRc889d+jQIULIL7/88tprrxnTGx+tlZk3bx4t1aK1MuvXr+dmmrEew4YN69Onz6pVq+7cucOveWrgjTfeGDJkSJMPmfz+HDdu3M8//0zjrVu30nXiRCIRVxSVkJAgkbT4Yw7Lsr/88guNn3/+eWNKrAAAAAAAAAAAAADAmmFGGQAAgPYgODj4u+++CwgIEGjj5eUVHx//1FNPCXcllUo/+eSTxYsXczOvNIdhmPDw8A0bNjg4OLQ0YZPbvn07t3bPpEmT+IvmNNC9e3euUKaoqOirr74yR36CHBwcFixYMGvWLMO+m5fL5Zs3b+7Vq1dzDaRS6bJly0aPHm1EjkYZM2bMp59+yq2Y04BEIomNjX322WdNdTojryffmDFjaFBWVmba+YfkcvlXX33VpUsXuklrZVp7iiPDjBgxYtmyZc3Vk8lkshUrVgjMBmTy+9PNze2DDz5oMLharVbzX3r200BeXp5CoaCxBX9YAAAAAAAAAAAAAKC1YUYZAACAdsLFxWXVqlWFhYXnz5+/fv16ZmZmVVWVXC7v3bt3YGBgaGio/iuJMAwzdOjQ7du337t37/Lly7du3crKyiovLyeEuLu7d+/evWfPngMGDOjVq5eNjU1rPid9paWl7du3j8a9evXSOfNHeHj4lStXLly4QAg5f/78wIEDR40a1RqJLVy4sKio6N69e3fv3v3zzz8fPnxYVFRUW1ur1WqdnJy8vLwCAwODg4N79erVYJWolnJyclq9evWtW7fOnDmTkZGRm5tLCHF3dw8MDAwJCQkODrb4SPXt23fHjh2XL1++ePHi1atXy8vLnZ2d/f39R4wYMWzYsObWAmvAbNeT4+Hh0b17d3o9T58+PWXKFJN0S9Famblz5xYUFBBC6urqZs+evWHDBq56xnoMHDhw586dly5dSkpKunHjRnl5uaOjY3Bw8OOPPz5s2DCxWCx8uMnvz+HDh+/atevixYuXL1++e/dufn4+XWzOGL/++isNfHx8uIWxAAAAwDp1GjrQ1rt7c4/aaN1txG407unoJBWbuKzfTu04uo+F//jQhiFdmLbxe10666eNjY2p3qKD9dt1lCH/LV93kDh27+St8xDxo/WMps7wU7r0MPxYAAAAAOiQGJZlLZ0DAAAAAICVunz58ooVKwghMpnsxx9/1FkUAm2RRqOZMmWKUqkkhCxdulRgfTrDzJgxIzU1ddasWVFRUabtuT2pqqpSKpV2dnbWMEsZmEd1dXVtbS2NRSLRI488Ytl8wGxUKlVlZSXDMK6urpbOBcykvr6+oqKC23R2djZgnURoo4qLiwkhTk5OFq/dB7Oxt7evqamh8eLFi+nnKegIKisrVSqVTCZrbkJZaH8UCgW3DLpEInF2drZsPmA2SqWyqqpKLBa7uLhYOhcwk7q6Om4yZkLII488gjLoDkKr1ZaWlhLrGPTq6uonn3ySELJnzx5fX18je8MdDAAAAADQrMGDB9PP/LW1tVevXrV0OtAqUlNTaZWMq6vrwIEDLZ0OAAAAAAAAAAAAALQi/PUGAAAAgOUplUpuWZ/Zs2eHhYVZNp+O6datWwsXLqTxpk2b6Po7DMPMmDHjs88+I4R8//33gwYNYhjGkln+V01NzfXr1zMyMm7evFlQUFBeXm5jY+Pq6urv7+/r69uvX78ePXpYvMbfYAUFBTNnzqTx8uXL+/fv33rnYln2+++/p/Hbb79tJeMLAAAAYBSWZbVWMY84q9HSf1mR1tK5/BdLmLb6NrkZrB5/D2vQu1yWECPno2eJVdyHAAAAAAANoFAGAAAA4D/q6+v/7//+z1S97dy5Uy6X699eo/nPKu5ardX8Brnj4UaBvz5pSEhIt27d8vLycnJybt68GRAQYKHs/iM3N/f7779PTk5usF+tVt+/f//+/funT58mhNjZ2U2ePDkiIkIqlVoiTaOwLMuNRWu7fv16bm4uIcTDw2PYsGHmOSkAAABAq7p/NPmXiI8snYWVCn51sG3uTUtnYUre7wyR2d0WaKCVORY90ceAnrPyPeYntOBTLaVU//WR9nZVu7rUAAAAANButLPieQAAAACjaEzH0k8FTIZhmPfee4/GmzZtYo38m0oj1NfXr1+/Pjo6unGVTGN1dXXbt2+fMmXKkSNHLJizlWNZ9ptvvqHxe++9h+lkAAAAAAAAAAAAANo9zCgDAAAA0CFUVlZOnTqVxgsWLAgNDbVsPm1L7969Q0JCLly4cPfu3WvXrgUFBZk/B4VCsWDBgry8PG5Ply5dXnnllV69enXu3NnOzo4QolarKyoqsrOzT5w4kZKSQgjRaDRbtmzx8fHp27ev+XO2fmlpaTk5OYSQkJCQXr16WTodAAAAAAAAAAAAAGh1KJQBAAAA+A8bG5tDhw4JNDhz5swXX3xB43fffTc8PNwseZlMk+sKgZ4WLVpkwbPX1tbOmTOnpKSEbsrl8sWLF/ft27fBDCg2NjadO3fu3LnzsGHDysrKvv3223Pnzlki3zbjscceE/6pBwAAAAAAAAAAAIB2BoUyAAAAAPoSiURNxsaTSqX4th6aw7LsJ598wlXJ+Pr6/v3vf5fL5cJHubi4LFiwYNSoUStXrmz9HAEAAAAAAAAAAAAA2gZTfsEDAAAAAAAmd/bs2fT0dBo7Ojp+9tlnOqtkOMHBwVu3brW3t2+17AAAAAAAoO3JuvHQ2zk6+d/Zlk4EAAAAAMACMKMMAAAAAID1UqvVGzdu5DYXLlwolUpb1IOLi4uLi4up8wIAAAAAgDaMZdn6eg1W5QUAAACAjgmFMgAAAADmoNFo0tPTk5KSrl+/XlhYqFarAwMDDVgTp7CwMDU19ffff8/JySkuLhaJRG5ubr6+vv369QsODnZ3dzd55izL3rt379q1a9evX799+3ZpaalEIvH09PT39x80aNCAAQNsbW0N7jkjI+Ps2bPXrl0rKSmRyWS9e/ceMmTIyJEj9Z8xRX8ajSY1NfXixYtpaWllZWXOzs69e/cODQ19/PHHW/oUWu+aNHbp0iWlUkljHx+f/v37m6rn1mby8TW+Q3MOHAAAAAAAAAAAAABYJxTKAAAAAJhYQUHBzJkzabx8+fL+/ftnZWUtX768srKS36y+vp6LlUrllClTaDx79uywsLDG3SoUii+//DIlJaXB/tzc3Nzc3N9++40Q0qdPnzfffNPf35/fYNasWQ8fPmR5fyq4atUqkaiJJTgTEhIkkr/eH1ZXV//yyy979+5tkLlKpcrKysrKyjpy5AjDMLNmzQoPD2cYptkr0tQ1yc/PX7JkSX5+Pr/b5OTk5OTkTZs2xcTEPPHEEwIdttTNmzeXL1+uUCi4PcXFxcXFxUlJSXZ2dosWLRo4cKA+/Zjwmujp4MGDXPzKK6+YpE9CyLlz57744gsa79y5U7jQJD09fcmSJTSOj493c3Nr0MAM42tkh+YfOAAAAAAAAAAAAACwTiiUAQAAADAxlmU1Gg23mZKSsnz5cp1HcYdotdrGj1ZUVMyYMaOmpka4k8zMzJiYmN27d8tkMn7P/HwaZ9ichQsX5ubmCrdhWXbjxo0XLlxYsmRJk8U3TZ4xOzs7JiaGbWaab5Zl16xZU11dPWbMGJ1J6uPkyZPr169v7tG6urply5bFxMR069ZNZ1cmvCb6UKlUN27c4DZNOJ2MnvcAh2vc5Ki19vga36GZBw4AAAAAAAAAAAAArBYKZQAAAABaUWpq6v79+wkhfn5+06ZN8/Pzk8lkLMsWFhYmJSXp309cXBxXJRMSEjJ+/HgPDw+5XM4wjFarraqqopPKHD9+3ORPwdvb+8UXX+zTp4+rqyutv9FoNGVlZcnJyd9//z1dFejKlSs7d+58/fXX9ekwIyMjISGBZdmAgIDIyEhfX196TYqLixMSErinsHnz5pCQEGdnZyPzz8jI4FfJPPPMMxMnTuzSpYtIJFIqldnZ2fHx8Tk5OWvXrp0wYYKefZr8mjQnLy+Pi11cXBwcHIzpzTxMPr4m7NBsAwcAAAAAAAAAAAAAVguFMgAAAACtaN++fYSQcePGTZ8+nVvPhWGYLl266F+W8eDBg+zsbBq/+uqrr7zyCv9RsVjs5OTk5OTUr1+/qKioQ4cONTh8y5YthJDy8vLIyEi6Z8GCBSNHjtR53kGDBi1atMjT07PBfolE4ubm9sILL4waNWrJkiWZmZmEkISEhIiICBcXF53d/vTTT4SQyMjICRMm8K+Ju7t7dHS0l5fX1q1b6c7ExMQ33nhDZ4cCNBrNypUruc3FixcPHTqU25TJZP3791+3bt369et//fXXxMREnR220jVpzv3797m4Z8+eBvdjTiYfX5N0aOaBAwAAAAAAAAAAAACrhUIZAAAAgNYVFBTEr5IxwK1bt7hYuLxGJpNNnjy5yYf4S8nouaxMVFSUcAM7O7ulS5dOnTq1rq6OEHLs2LEpU6bo03NYWNjEiRObfCgiIuLAgQNFRUWEkOPHj0dFRRlz6U6ePFldXU3jqKgofpUMRyQSzZ079+7du3fu3NHZYetdkybR60B5eXkZ3I+ZmXx8je+w9QZOqVTyf0KbpFarCSFarZYG0CS6tBbLsrhKHUeDpQYx9B0Ht1ofBr3jaLDgY4vWfwTD4CILaG5Bz7arFZ+RKXrGq33HQW9FfPDpUPivP/g016Fwn+Yw6B1Hg7eXarUaC5d3EPyfd4sPOveaY5I3wCiUAQAAAGhdM2fONKbUgxBSUlJCA6lUamNjY4qkTEYul48fP57O+aF/bYHAPCIMw4wfP57OgqNUKktLS11dXQ1Ob9euXTSQyWQvvviiwEmjo6NjYmIMPhGfYdekSRUVFVxszHUwM5OPr3luGMMGLi8vb/r06cJt6GxASqWyvLzcsNw6DpVKpVKpLJ0FWIBWq8UPSEfDsiwGvcNSKBSWTqH944rFoTG1Wm1n6RxMS+eXlAZ/kWCSiiu82nc0dXV19M8PoKPRaDT4ee9oMOgdWWVlpaVTAHOzhkGvqamhgUkKZVDqBQAAANCK3N3dPTw8jOzEwcGBBkql0gp/5R0cHEyDsrIypVKpT3vuGTWpT58+XFxaWmpwYiUlJVyN0bhx48RisUBjPz8/R0dHg8/VQEuvSXPq6+u5WCJpGzXuJh9fs90wxHQDBwAAAADw/+zdeXwU9f348ZndzbUhlzk5E5EbQowUJAJqoWI5/IGIB62g4kEEkbZRrFIBUeqBtxwCNi0oIgYEFAt4VAT5ShOumHCFcJhAyH1tjr3n98e04zYkm02yV5LX8w8e79l972feO7O72V3e+/kAAAAA8Fo0ygAAALjQmDFj2j5I3759lfiVV15R+qa9REhIiBLbzoDSlOHDhzs+YFt+mHLx4kUl/tWvfmU/WRTFW2+9tdX7aqClx6QpthMItZfJbJ1+ft32gBGcd+IAAAAAAAAAAF6rffwsFQAAoJ3q2bNn2weJi4vr3r375cuXBUHIzMy87777Ro8ePWHChOuuu06r1bZ9fPskScrPz8/Ozj5x4sTly5cLCwsbzKKsLFMqCEJ1dXV0dLT9AWNiYuwn+Pr6KnFbFmEpKChQ4qioqGbz5fVxHOH0Y9IU20luKioqWjeImzn9/DpxQLedOAAAAAAAAACA16JRBgAAwIXCwsLaPogoii+88ML8+fPr6+vlS3744YcffvhBEITw8PARI0YMHz584MCBgYGBbd9XAxkZGWvXri0uLnYw35G+Bz8/v7YV5agrV64osSMdRREREY4M64pj0pTIyEglzsvLa/U47uT08+usAV104rp165aammo/55133hEEwc/Pz3bGGjRQX19vNBp9fHzc0P8HL6HX65VmNZVKZX+RNXQkJpNJnh6PV8XOw2w2264f2qVLF/trYqLtavh72rT2sqSp45p9Qomi6KKRHcGrfedRW1trNpv9/Pz8/f09XQvcpK6uTlkzWq1Wd+nSxbP1wG2MRmN9fT2f4zoV5XOcLCgoSKVi4ZpOwWq16nQ6wTtOuvJOvtXvb/9ntLYPAQAAgKY460vYqKiov//976mpqV999ZXt5WVlZbt37969e7cgCL/61a8efPDBXr16OWWPgiCsW7du165dzhrN/WwbHRx5E+9IQ4abj0n37t2V+Ny5c27bb8fjuhPn7+8/dOhQ+zny64BarbZdSwsNyA0TKpWKo9R5NGhH49R3HpIkCYIgiiInvdPSaDQdr1PB23CE7XDKt+pexYX/Y+GMY8WrfechPxR5S9+p2L7+8O6uU7FYLAInvZOxnYZZEAQfHx+P90zAPZRT7w0nXXnNoVEGAACgE9FqtU888cTs2bOPHz9+8ODB9PT0BqvGHD58+PDhw9OmTXvggQfa/k5x3759SmOBSqWaPHlyUlJSt27dAgMDNRqNKIrKLgoKCpKTk9u4O1ewXZHHarU2+2vIBsfzau4/Jt26dVPisrIynU7HL3VaoQM8mAEAAAAAAAAAzkKjDAAAQHui1Wpvuummm266SZKkysrK8+fPHzhw4Pvvv5d/ySEIwmeffdarV6+xY8e2ZS8Wi2Xt2rVyHBwc/N5779lZQ0rZtbeJjo5W4rq6umZn/C4rK7NzrUeOib+/f58+fXJzc+XNEydOjBw50ikj25J/2W+H155iR3SMBzMAAAAAAAAAwFmYEwkAAKBdEkUxLCxs2LBhf/jDH9LS0mbPnq1ctW7dugaTYbZUQUFBbW2tHD/55JN2GgsEQSgqKmrLvlzHdt2i4uLiZvPPnz9v51pPHZM777xTiT/55JNmm1ocZDu/TrPdIaWlpU7ZqUd0jAczAAAAAAAAAMBZaJQBAABo9zQazdSpU8ePHy9v1tXVlZeX28lvttni0qVLSjxgwAD7yUeOHHGsTHeLi4tT4qNHjzab/91339m51lPHZOTIkX5+fnJ8/vz5kydPOmXY4OBgJdbpdPaTs7OznbJTj+gYD2YAAAAAAAAAgLPQKAMAANBB3HTTTUp8deuDSvXLGz+z2Wx/KIPBoMS2U480mrl3794WVOlGERERyvQh27dvtz9vSm5ublVVlZ0ETx0THx+fOXPmKJuvvfaabSWOqKqqysvLa3BhRESEEl+4cMHOzY1G4759+1q0R6/SMR7MAAAAAAAAAABnoVEGAACgg7CdRaZLly4NrvX391fikpIS+0PZdlFc3WNhKzU1tdm2Gw+699575aCurm7Pnj1NpUmStHr1avtDefCYjBs3TpkKpaKiYtGiRXq93sHbZmVlPfroo1c3TkVFRYmiKMeff/65nRG2bNnSxpW8PKvDPJgBAAAAAAAAAE5BowwAAIC3+/TTT7OysuxPiFJfX//hhx/Ksb+/v21zgEyj0QQGBspxRkaG/T3GxsYq8cqVKxvtHpAkacuWLbt37262fg8aP368VquV47Vr1x47duzqHLlLJjc31/5QHjwmoiguXbo0JCRE3szJyXn44YdzcnLs30qn07377rtNddWo1erRo0fL8enTp//97383Osi//vWvtLS0NtTueR3mwQwAAAAAAAAAcAoaZQAAALzduXPnFi1adO+9965bty4zM7O8vNxkMslXWSyWioqKffv2PfbYYxUVFfKFycnJymQhtsaOHSsHp0+f/uKLL3Q6nSRJje4xKCho1KhRcpyfnz9v3rzMzEyl36Kuri4zMzMlJWXTpk2CIEyfPt1599XJNBrNs88+q2wuWbJkzZo1hYWF8hQpRqPx1KlTKSkp8oI7U6ZMsTOUZ4+JVqtduXJldHS0vKnT6Z566ql58+YdOHCgsLDQ9vFQVVV17NixFStW/P73v//mm2/sjDlz5kwlXr58+ebNmysrK+WHhMFgOHv27NKlS99++221Wn333Xc79+64U4d5MAMAAABO1H9gt4La928c1cfThQAAAAAeoPF0AQAAAHCI0WjctWvXrl277Kfdfvvtv/71rxu9aurUqV988YUcr1+/fv369YIgqFQqpasmLS1No/nP+8P58+dnZmbW1NQIgnDlypXnn3++0THnzZuXkJCwdevWlt8hN0lISHj88cfXrFkjb+7evbvRiUPmz58fFxe3c+dOO0N59piEhISsWrVq1apV3333nXxJfn7+ihUr7N9KpVI99NBDAwcOvPqqmJiYGTNmbN68Wd7cvHmzEtt65ZVXjEZju55XpsM8mAEAAAAAAAAAbceMMgAAAB1EUFDQ008/PXfu3EankxEEITIy8plnnmlwrdVqtfyX7eVarXbNmjX9+vVranf+/v5Lly69/fbbnVK8S02YMOHll19WVp5qQKPRLFq06Lbbbmt2HI8fE19f3z/+8Y/vvvtuYmJis8kajeb+++//5JNPpkyZolI1/rb/vvvuS05ObmqEiIiIVatW9e/fv/UVewePnzgAAAAAAAAAgPdgRhkAAABvt3DhwpKSkry8vIsXL164cOHKlSslJSX19fVWqzUkJKRXr16DBg1KTEzs169fU/0QilGjRn3yySeHDh3KyMi4ePFiYWGh2WxuKjkkJGTFihVnz57dt29fdnZ2fn6+IAhRUVGDBg1KSkpKTEz08fFx8l11mcGDB3/00UcZGRmHDh06duxYZWVlaGho3759R48ePXLkSH9/fwfH8YZjEhcX98ILL+h0ulOnTmVlZZ05c6aoqKiystLHxyc8PLxv3769e/eOj4/v3bu3Wq22P5QoihMnThwzZsz+/fszMjLOnDlTV1cXERExePDgW2+9NSEhodkR2gtvOHEAAAAAAAAAAG8gSpLk6RoAAAAAoMOaM2fOkSNH5s6dO3v2bE/X4r1qamr0er2fn19QUJCna4Gb1NbW1tfXy7FKpbrmmms8Ww/cxmg0VldXi6IYHh7u6VrgJiaTqaqqStkMDQ1VlvuEi0hWSbJaPV2FIAhCaWmpIAghISHe05csSh1tmnVREARV47OK/m9Si0mCYLW2+JbBQV3q6urkeNGiRS+99FJr9o12qLq62mg0BgQENDWfKzoenU5nMBjkWKPRhIaGerYeuI1er6+pqVGr1WFhYZ6uBW5iMBh0Op2yec011zT7i010DFartby8XPCOk15bW3vLLbcIgvDpp5/27t27jaPxoRQAAAAAAAAAOg5RJYoqr5gaUKVRy//KAdoXURDUbfvfkKbWBQYAAAA8i0YZAAAAoOPQ6/UzZsyQ4/nz548dO9az9bhBJ7zLAAAAAAAAAIBWo1EGAAAAcNSMGTP0er2dBK1W26NHj2uvvfaGG24YMmSIVqt1W20Ki8UiB1bvmG/fDTrhXQYANOXKm+9ba+s82tZhhQAAIABJREFUXUWTDP5dvlIP8nQV7ma1Wk0mk7Lp6+vLJBOdh7wkh4+Pj8fnaYfbmM2/vCfPrCj425n/c89+rwvyuz6i0vF8jVETePqM6+pxitPfWIuzyz1dhaNMJpPValWr1RqNJrhPt8SlD3q6IgAAgCbRKAMAAAA4ymKxKD0ZjdLpdKdOnTp16tQ///lPQRAmTpz44IMP+vv7u6tAAAA6O93+H80VVZ6uokn68JgfrQGergIAXMhqkZT4Sn1VevFF9+xXJYT3D23BvnylEG3+IZeV4xwVRwPObz3t6SpaI/LGgTTKAAAAb0YjPwAAAOAq//znPx955JGqKu/97zoAAAAAAAAAADoVZpQBAAAAWmP79u1qtdr2EkmSzGZzWVnZ//3f/3300Udms1kQhOrq6oULF65Zs4bZ5gEAAAAAAAAA8DgaZQAAAIDWEEXx6kt8fHxiYmKmTZs2duzYOXPm1NfXC4Jw5cqV9PT0kSNHeqLMjs/f3//zzz/3dBUAAAAAAAAAgPaBX7UCAAAAzhcaGrpgwQJl8/vvv/dgMQAAAABgq0p3+aMvHiouy/F0IQAAAIAH0CgDAAAAuER8fLwSZ2VlebASAAAAALAlCYLVahEEydOFAAAAAB7A0ksAAACAS2i1WiU2GAwerMQOi8WSkZGRnp5+/PjxysrKsLCwfv36jRo1asSIEb6+vi0aSpKkvLy8n3766eTJk+fOnSsvL9doND169Ojbt++wYcOGDh3a0gGVCrOysg4ePHjy5Mni4mKz2Txo0KDly5e3YigXVQgAAAAAAAAAaEdolAEAAABcor6+Xom7d+/eVNqBAwfefPNNOd60aZNte83VsrKyFi9eLMfr1q2LjIxsS4VZWVl//etfa2trlUtKSkpKSkoOHjzo5+f33HPPJSYmnj17duHChfK1q1ev7tq169Xj1NbWfv3111u3bq2urra93Gg05uTk5OTkfPnll6Iozp07d/z48aIoNlVPUVFRcnKyHC9btiw+Pj4nJ2fZsmUNhjWZTLaber1+xowZcjx//vyxY8e6rkIAAAAAAAAAQHtHowwAAADgEidPnlTiG2+8sak0SZIsFovjwyrJktSmadK/+OKL9evXN3WtwWBYsmTJn/70p+7duze7x4ULF+bn59vfnSRJq1at+vHHHxcvXqxSNb4CbINDcfjw4WXLljVzNwRBsDkmVqvVpRUCAAAAAAAAANo7GmUAAAAA59PpdO+8846yedttt3mwmKsdOXLEtktmwoQJU6ZMiY6OVqlUBoPh3Llzf/vb33Jzc99888277rrLwTFjY2PvuOOOgQMHhoeHBwQECIJgsVgqKirS09M3bNig1+sFQTh69OimTZtmzpzpSIXbt28XBKFPnz4PPvhgnz59AgICJEkqLi4+ePBga+6zsysEAAAAAAAAALRHNMoAAAAATmPbeKEsvTR37tyIiAjPFmbLZDK9+uqryuaLL76YkJCgbPr7+w8ePPiNN95Yv379rl27tm3b1uyAw4YNe/bZZ3v06NHgco1GExkZOWnSpN/85jeLFy8+deqUIAhpaWmTJ08OCwuzP+Znn30mCMLUqVMfeughZS0kURRjYmIc791xaYUAAAAAAAAAgPaIRhkAAACgNaZNm6Y0cMiuXkGpZ8+e8+fPHzBggBvrat7evXvl2VMEQZg3b55tl4xCFMVHH330woULJ06caHbA2bNn20/w8/NbsmTJAw88YDAYBEHYs2fPjBkzmh02ISHBtkumLVxUIQAAAAAAAACg3aFRBgAAAGgNq9VqP+H2229/6KGHtFqte+pxXFpamhx06dLlN7/5TVNpoijOmTPnySefdMpOtVrttGnTNm/eLDjchpKcnOyULhkHtaJCQRDy8/ObPUT+/v6CINTX11dUVLS9zo5KfkIZjUaOUudh+ypqtVo59Z2HJEnyvy466fL4XqvZ9w8AgNYxW8wtyr/6dw5eqF0U2Siz2cy7u87A9o0NJ71Tkd9y8zmuU2nwOauystKd39rBG1RVVXm6BKGurk4OnPLJmkYZAAAAwCX27t27d+/eadOm3X///RqNt7zxLi0tVb7FuPPOO9VqtZ3kuLi48PDwsrIyp+w6MTFRbkOpqKjQ6/Vy+0hToqKiunfv7pT9Oq5FFcpMJlN+fr79nOuuu04QBEmS2u/X3G7DUerMOPWdkItOupc3ygAAXKSlr//t5O9Fuyiycby764Q46Z0NH+E7M34A0Al5w/PduTV4y/f1AAAAQPuyffv2q7tMrFZrbW3t2bNnP/roo9zcXEEQPvvss+PHj7/yyiuOdF24wcWLF5U4MTGx2fwxY8bs2LHDKbsOCQlR4qqqKvsHZMyYMU7ZaYu0qEIAAAAAAAAAQHtEowwAAADQGo3OL6pSqYKCgm644YbExMRt27Zt3LhREITz588vX778xRdfdHuNjbh8+bISR0ZGNpvfu3dvB0eWJCk/Pz87O/vEiROXL18uLCw0GAy2Cba/Namuro6OjrYzWs+ePR3cr+OcWyEAAAAAAAAAoD2iUQYAAABwPlEU77rrriNHjpw4cUIQhMzMzFOnTg0cONDTdQlFRUVKrNVqm80PDw93ZNiMjIy1a9cWFxc7WIbRaLSfEBYW5uBQDnJ6hbLg4OBp06bZzzl9+rQgCBqNhilq7DCZTBaLRa1W+/j4eLoWuInZbDabzXIsiqKfn59n64HbWK1W+TXWRa+KjXayeg9RFNvzMhoA4L1UKpVL8z3Cy/+o2SGKIh9/OgP5c5wcq1QqX19fz9YDt7FYLCaTic9xnYp80pVNPz+/9vtHCi0iSZL8U0NvOOnOXfOLRhkAAADAJURR/N3vfrdo0SJ5c8eOHd7QKGPb/+HIV8OOfOWxbt26Xbt2tamsq2g0zvyo4ooKZREREc8995z9nDlz5giC4Ovr26VLF1fU0DHU1NRYLBaNRsNR6jxqa2ttG2U49Z2H0Wg0Go2uO+ke/+bOPhplAMBF1KqGC+Pa1y4aZVQtvFPeQ61W8+6uM9DpdLaNMpz0zkOv15tMJk56p2IwGGwbZQIDA9vFX1K0ndVqlRtlvOGkK5/3nVIJjTIAAACAq8TFxSnxjz/+KEmSx//3zna6DqvVqlY388VrsxOr7Nu3T+lBUalUkydPTkpK6tatW2BgoEajEUVRucsFBQXJycltqL2VvL9CAAAAAAAAAIDb0CgDAAAAuEqDtY3q6+vtr3YkSc38xlz5qVarRUdH29bT7DI3ZWVl9utZu3atHAcHB7/33nt2lkxqe/Gt4P0VAgAAAAAAAADciTmRAAAAADexnaFUYTunS7ONGqWlpW2soXv37kpcUlLSbP7FixftXFtQUFBbWyvHTz75pJ0eFEEQioqKHCrRqby/QgAAAAAAAACAO9EoAwAAALhKXV2d7aafn9/VOcHBwUqs0+nsD5idnd3GkmJjY5X4+PHjzebv37/fzrWXLl1S4gEDBtgf6siRI83uzum8v0IAAAAAAAAAgDvRKAMAAAC4iu10LIGBgf7+/lfnREREKPGFCxfsjGY0Gvft29fGkiIjI4OCguR4+/btVqvVTnJ+fr79WWcMBoMS206N02jm3r17W1Kpc3h/hQAAAAAAAAAAd6JRBgAAAHAJSZI+/vhjZfPXv/51o2lRUVGiKMrx559/bmfALVu22O9rcYQoinfffbccV1dXf//9901lSpK0bt06+6PZdvnk5eXZyUxNTTWbzS2p1Dm8v0IAAAAAAAAAgDvRKAMAAAC4xPbt20+cOKFsTpkypdE0tVo9evRoOT59+vS///3vRtP+9a9/paWlOaWwiRMn+vr6yvFbb7116tSpq3MkSdq4cWNmZqb9oWwXclq5cmWjjSaSJG3ZsmX37t1tKLn1vL9CAAAAAAAAAIA70SgDAAAAOI0kSXV1dVlZWQsXLvzHP/6hXH7//fdHR0c3dauZM2cq8fLlyzdv3lxZWSlJkiAIBoPh7NmzS5cuffvtt9VqtTIZTFv4+vqmpKQom88880xqampxcbE8XY3RaMzJyXnuuee2bdsmNN3fIwsKCho1apQc5+fnz5s3LzMzU6/Xy5fU1dVlZmampKRs2rRJEITp06e3vfiW8v4KAQAAAPcLDeo+a8rGqPD+ni4EAAAA8ACNpwsAAAAA2qVp06YpSybJJElqdGmk8ePH229wiYmJmTFjxubNm+XNzZs3K7GtV155xWg0OmVemaSkpFmzZm3cuFHe3LFjx44dO65Omz9/fmxs7M6dO+XNBvdXycnMzKypqREE4cqVK88//3yje5w3b15CQsLWrVvbXnxLeX+FAAAAAAAAAAC3YUYZAAAAoDWsVqvlf13dJdO1a9eXXnrpiSeeaLTFxNZ9992XnJzc1LURERGrVq3q39+ZP/ecPn36kiVL/P39G71WrVY/99xzt912m+2d0mga6bPXarVr1qzp169fUzvy9/dfunTp7bff3vaaW8f7KwQAAAAAAAAAuA0zygAAAABOo9FooqOj4+LiBgwYMGzYsO7duzfbIiMTRXHixIljxozZv39/RkbGmTNn6urqIiIiBg8efOuttyYkJKjVaqdXO2zYsI8//vjQoUPp6emZmZmVlZWhoaF9+/YdNWpUUlKS3ENTVVWl5AcGBjY6TkhIyIoVK86ePbtv377s7Oz8/HxBEKKiogYNGpSUlJSYmOjj4+P04lvE+ysEAAAAAAAAALgHjTIAAACAoz799FOXjh8UFDRp0qRJkyY1lRAfH//555/bGcHf399+QgMajWb06NGjR49uKuHSpUtKHBAQ0FSaKIr9+vWzM2uLIAgxMTH2a2s2oVEO3mWnVAgA8H7RTzwsGY2erqJJZrXPw+runq7C3SwWS319vbKp1WpVKma57izk5S8DAgJc0fYN7/TpXpXZ8p94SGjXWf1udM9+I/xUIb6xjuerTZJ4g7e/IMf5mCN/q/d0FY6qr6+3WCw+Pj5+fn7+kaGeLgcAAMAeGmUAAAAANOnAgQNyEBcX5+DsOAAAeFDIb272dAnN8Pb6XMBkMtnOURcaGtroeo7okEpLSwVBCAkJYQK/zkOl+uVTQw9t6Kjo6zxYjD0aQWhBX41ndPP6Cm1VV1cbjcaAgICm5iIFAADwHvx6AwAAAEDjSktLz58/L8e33XabZ4sBAAAAAAAAAKDt+PUGAAAA4ATFxcXHjh07efLkuXPniouLrVZrSEhIz5494+LiBg0a1L9//5CQEE/X2DKSJK1evVrZHD58uAeLcQ+9Xj9jxgw5nj9//tixYz1bDwCg3anOuaS7cMXTVXgds9lcV1enbNYFBjZYhSckrJ19Rant7itqJGXTqg0wa33lWGdSF9UzCd8vqmurBUHQSvVMI9R5SMIvz46SopqsYwVtHVGtqgnybesg7Vm3a0z+vtYW3cRX5RvmF+6iegAAADoAPp8AAAAAbXL+/PmVK1fm5uY2uLykpKSkpOTo0aOfffaZIAi9evX6f//v/40ePVqr1XqizP8hSVJqauo999wTFBTUaILFYvnggw8OHz4sbyYlJcXExLixQI+xWCxyYLW27JtoAAAEQchJ/WfWa1s8XUX7k3RbhFVv8HQVLdDvz/Eq/WVlUz90VHVXsxyfqeix+XxVE7cDOgWTzRvpfx/Iqy/+to0DRnYL/i628Y8tncTc8daQkKIW3SQqIObmruNcVA8AAEAHQKMMAAAA0EqSJH3yySebN292JDkvL2/lypWbNm3asGGDqwtzxM6dO3fu3Dlu3Lhx48bFxsZ26dJFFEWLxVJdXX38+PFNmzYVFxfLmWq1Ojk52bPVAgAAAAAAAADgFDTKAAAAAK20a9cu2y6Z+Pj4u+6667rrruvSpYtKpbJardXV1Xl5efv27fv227b+jNJFvv32W/u1aTSa1157LSwszG0lAQAAAAAAAADgOjTKAAAAAK1RVFS0fv16ZXPp0qU33HCDbYJarQ4LCwsLC0tISJgzZ84XX3yxadMmt5fZJomJiU899VRTyzMBAAAAAAAAANDu0CgDAAAAtEZaWpoSP/HEEw26ZBrw9/e/++67J02a9Omnn7q+tOaJorhly5YLFy6cOnUqNzf30qVL5eXlOp1Oo9FEREQMGDBgwIABSUlJTCQDAAAAdEgVFy9vm/3s5LcXxQzt7+laAAAAAHejUQYAAABoMUmSvvnmGzlWqVTjxo1z5FZarfbBBx90YVktERAQMGjQoEGDBnm6EAAAAABuJ0lWs8XTRQAAAACeofJ0AQAAAED7U11dbbVa5XjgwIFqtdqz9QAAAAAAAAAAAEcwowwAAADQYvX19UocHBzsil1YLJYTJ04cO3bs5MmTeXl5ZrM5PDw8Pj7++uuvHz58uK+vb0sHlCQpOzt7//79P/30U1lZWUBAQP/+/YcPHz5mzBitVuuR2iwWS0ZGRnp6+vHjxysrK8PCwvr16zdq1KgRI0a07g7m5eX99NNPJ0+ePHfuXHl5uUaj6dGjR9++fYcNGzZ06NBWjAkAAAAAAAAA6GBolAEAAABaTKP55Y30xYsXnTu4JEl79uxJTU01GAy2lxcUFBQUFOzdu1etVj/22GO//e1vRVFsdISioqLk5GQ5XrZsWXx8fGFh4eLFiwsLC5Uco9GYnp6enp6+evXqlJSUm2++2T21KbKysv7617/W1tYql5SUlJSUlBw8eNDPz++5555LTEw8e/bswoUL5WtXr17dtWvXRoeqra39+uuvt27dWl1dbXu50WjMycnJycn58ssvRVGcO3fu+PHjmy0MAAAAAAAAANCB0SgDAAAAtFhISIgSX7lypaSkJDIy0ikj19XVLV68OCcnx06OxWJZs2ZNRkbGokWLGl31SZIki8WibObm5qakpEiS1OhokiS9/vrrtbW1EyZMcENtsi+++GL9+vVNXWswGJYsWfKnP/2pe/fuyh1pqn5BEBYuXJifn2+/eEmSVq1a9eOPPy5evFilYglaAAAAAAAAAOikaJQBAAAAWszHx2fAgAGnT5+WN1988cWXX345MDCwjcMaDIYFCxYUFRXJm5GRkQ888MDQoUODg4NFUTQYDDk5OevXr//5558FQTh8+PAbb7yhTLjSlOzs7LS0NEmSBgwYMGvWrN69ewcEBEiSVFpampaWtnfvXjltzZo1SUlJoaGhbqjtyJEjtl0yEyZMmDJlSnR0tEqlMhgM586d+9vf/pabm/vmm2/eddddjh47QYiNjb3jjjsGDhwYHh4eEBAgCILFYqmoqEhPT9+wYYNerxcE4ejRo5s2bZo5c6bjwwIAAAAAAAAAOhJ+SQkAAAC0xu9+9zslvnjx4v333//hhx9evnzZzsQnzXr33XeVTpSJEyeuW7fu5ptvDg0NValUoij6+/sPHTr0nXfeGT9+vJzzww8/ZGVl2R9z8+bNZrN51qxZr7766pAhQ7RarSiKKpUqKipq3rx5jz76qJK5bds2N9RmMpleffVVZfPFF198/PHHu3Xrplar5XEGDx78xhtvTJ48udmSFMOGDVu9evV77703fvz4nj17yvdRFEWNRhMZGTlp0qQPP/xw4MCBcnJaWlpFRYUjwwIAAAAAAAAAOh5mlAEAAABa4/rrr09KSvrxxx/lTYvFkpaWlpaWplarhw0bFh8f369fvx49egQFBTk4YG5u7oEDB+R4xIgRc+bMEUXx6jSVSjVv3rycnJyLFy8KgvD2229/8MEHjWYqxo4dO3369Eavmjx58o4dO0pKSgRB2Lt37+zZsxsdyom17d27V57cRRCEefPmJSQkXD2OKIqPPvrohQsXTpw4Yed+KWbPnm0/wc/Pb8mSJQ888IDBYBAEYc+ePTNmzHBk5GZVVFQ0281TX18vCILJZKqrq3PKTjsks9ks/8tR6jxMJpMSS5LEqe885DX1OupJt31gw3Ft6TP2CKvVqvqfzV+WvLRKVvfXA3Rs7e4lwumsLT8CFovF/X9n5T/xfPDpVGwXfbZarZz6zkP+CM9J71Rsn++CINTX19v/NhIdhvJOzBtOuvwtqyAIVqsTPnbRKAMAAAC00sKFC9etW7d7927bCy0WS3p6enp6urwZERExfvz4sWPHRkVF2R/t448/VuIFCxbY+eAhiuL8+fNTUlIEQSgpKbl06VLPnj3tjPzwww/bGWratGlr164VBEGv15eXl4eHh7u0trS0NDno0qXLb37zGzvjzJkz58knn2zyXrWQVqudNm3a5s2bBWc3yrz//vv2c6677jqB74sd45Ev9OENOmrPBOzrkCdd/j8DdHgNvpa1WK2C8J93Rw3+CwFA29F/ZtuN5/BNPPa/12azmb+GnRM9E50Qn+M6M6VfAZ2HN5x0577msPQSAAAA0Epqtfrxxx9/9913ExMTm8opLS39+OOPH3nkkWXLllVXVzeVVl9ff/jwYTm+5ZZbmp2Hpk+fPgEBAXKszGrTqMTERPujKWsSCYJQXl7u0tpKS0uVZY/uvPNOtVptZ5y4uLhGu3ZaTTlNFRUVyqw2AAAAAAAAAIBOhUYZAAAAoE3i4uJeeOGFDz/88KmnnhoxYkRTzR+HDx+eNWvWyZMnG71WXqtINmbMmGZ3KopifHy8HJ8+fdpO5vDhw+0PFRISosSVlZUurc12KDvdRS3aneNs72lVVZUTRwYAAAAAAAAAtBcsvQQAAAA4QUhIyM0333zzzTdLkqTT6QoKCk6cOPHNN99cvnxZybFarX/+85/Xr18fHR3d4OaXLl1S4l69ejmyx549e8oLPJ05c8ZOWkxMjP1xfH19ldhoNF6d4MTabI9GZGRks+P07t3bkd3JJEnKz8/Pzs4+ceLE5cuXCwsLDQaDbYLtKgnV1dVXn4VWEEXR39+/2ZwGARolr3nMUeo8lFWuZZz6ToXnOzoYHsoAvJD7/87y971zsn1Xz9nvVHjKd0I83zst73m+O7cGGmUAAAAAZxJFMTg4ODg4eMCAAXfddVdhYeH7779/9OhRJeHll19+++23G9wqPz9fiZ988kmVSiX890OIJElKIAiC1WqVA4vlPwvV63Q6SZKa+pzg5+fXxnvkxNqKioqUobRabbO7dnzppYyMjLVr1xYXFzuY32hLUCtce+21P/zwg/2cOXPmCIKg1Wqdu5JUB1NTU6PX6/38/Jpd2wsdRm1trbK+tUqluuaaazxbD9zGaDRWV1eLotghXxWVxQfRIqIoSs1neRGNRiOYbTd9hP9u+2h8PFMT0HGpVfYWbO0MNOoW/z+Oj4+P+//OVldXG41Gf3//wMBAN+8anqLT6ZQfqGg0mtDQUM/WA7fR6/U1NTVqtTosLMzTtcBNDAaDTqdTNsPCwuRvCNHhWa3W8vJywTtOuvJ7RadUQqMMAAAA4EIxMTFLly7dsGHDtm3b5EvOnz9fUFDQrVs32zTlf4sFQdDr9W4tsTlOrM22PcWRzzMOdvmsW7du165drS8LAAAAAAAAANBp0CgDAAAAuNzMmTP/9a9/VVRUyJsnT55s0Cij0XjvO3Mn1ubj88tvrK1Wq1rdzG9DHZn3Zd++fUqXjEqlmjx5clJSUrdu3QIDAzUajSiKynw2BQUFycnJra0dAAAAAAAAANAReO/X8QAAAECHoVKpJk6cuGnTJnnzwoULDRKio6OVePPmzV41VbUTa7Mdqr6+3rZvplFlZWX2EywWy9q1a+U4ODj4vffeszPrr7IgFAAAAAAAAACg02LxMAAAAMAdevToocS2ixnJrr32WiUuKSlxU02OcWJt3bt3b9FQFy9etJ9QUFBQW1srx08++aT9tbGLioqaLxEAAAAAAAAA0KHRKAMAAAC4Q01NjRKHhIQ0uDYuLk6Jjxw54p6SHOTE2mJjY5X4+PHjzebv37/ffsKlS5eUeMCAAfaTve3AAgAAAAAAAADcj0YZAAAAwB0yMjKUuF+/fg2uDQkJGThwoBx/+umnZrPZfZU1x4m1RUZGBgUFyfH27dutVqud5Pz8/GZnnTEYDEqsVqvtZ+7du9fhSgEAAAAAAAAAHRONMgAAAECL1dXV7dixw2QyOZhfUFCQnp6ubDY698msWbPkoL6+fv369W0v0omcVZsoinfffbccV1dXf//9901lSpK0bt26ZgeMiIhQ4ry8PDuZqampXtV+BAAAAAAAAADwCBplAAAAgNZITU2dMWPGtm3b6urq7GcWFhYuXLhQ2UxKSgoLC7s6bfDgwaNHj5bj3bt3p6amWiwW+yOXlpZ++OGHtbW1Lay9xZxY28SJE319feX4rbfeOnXq1NW3lSRp48aNmZmZzRZmu5bTypUrG22FkSRpy5Ytu3fvbnY0AAAAoJMIu7bHY/s3xQzt7+lCAAAAAA+gUQYAAABoJaPRuGHDhvvuu++ll1764YcfLl++rNfr5askSaqrqzt9+vTbb7/92GOPVVdXy5cHBQUtWLCgqQEXLFjQtWtXOd6xY8fMmTO//PLLwsJCo9EoX2i1Wmtra3/++ec9e/b84Q9/mD17dlpamv0FjJzFWbX5+vqmpKQom88880xqampxcbGcaTQac3JynnvuuW3btgmCMGXKFPtVBQUFjRo1So7z8/PnzZuXmZmpnIW6urrMzMyUlJRNmzYJgjB9+vQ2HgQAAAAAAAAAQHun8XQBAAAAQLuXnp5uu7JSU8LCwl5//XWtVttUgp+f3zvvvPPiiy9mZWUJglBTU7N27VpnFtoGTqwtKSlp1qxZGzdulDd37NixY8eOq9Pmz58fGxu7c+dOeVMUxUZHmz9/fmZmZk1NjSAIV65cef755xtNmzdvXkJCwtatW1tXMwAAAAAAAACgY2BGGQAAAKDFtFptamrq7Nmzu3fv7kh+QEDAo48++sEHH0RGRtrP9Pf3f+mll/7yl7+EhITYzxRFcfz48e+9915QUJCjdbeNE2ubPn36kiVL/P39G71WrVY/99xzt912m+2ENBpN413+Wq12zZo1/fqwITOsAAAgAElEQVT1s1P20qVLb7/9dvs1AwAAAAAAAAA6A2aUAQAAAFojIiJi6tSpU6dO1el0Z8+ePXPmzMWLFy9dulRUVGQymfz9/bt27dqjR48+ffokJCT06tVLrVY7OLIoiiNGjNi4cWNeXl5GRsbZs2dzcnIqKysFQYiKiurZs+d11103dOjQfv36+fj4uPIuura2YcOGffzxx4cOHUpPT8/MzKysrAwNDe3bt++oUaOSkpLkHpqqqiolPzAwsKmhQkJCVqxYcfbs2X379mVnZ+fn58v1DBo0KCkpKTEx0f0HCgDQOQVd2y3mlgRPV+F1JEkym83KpkajaTBRXMDgIMlivup2XqxLN6FLF2VL7Rvmq/rPt6zBfsH9Qvw8VJY3MplMQmMnHR2YyuZch0cGDhgc3cYBA8MChnVr8rNAZxDZxRziL7XoJqG+YS4qBgAAoGOgUQYAAABok6CgoBtuuOGGG25w7rCiKMbGxsbGxrbitjExMZ9//rmDyUFBQY4ny9pSmy2NRjN69OjRo0c3lXDp0iUlDggIsF9Sv3797MwrIzhwWPz9/Vt6KAAAsNV/zuT+cyZ7ugqvYzKZbJtfQ0NDm5oorp3yFwRllrxwf+GGCE8W421KS0sFQQgJCaFxufNYLKqM/42Tbol99sXxnqwGAAAAaAxLLwEAAADwUgcOHJCDuLg4foUMAAAAAAAAAGi7DvXrDQAAAMCb1dXVnTx5Mjs7+8yZM0VFRZWVlT4+PuHh4X379u3du/eQIUOuvfZalYpe9v8oLS09f/68HN92221NpZ09e3bhwoVyvHr16q5du7qjOAAAAAAAAABA+0SjDAAAAOBy+fn5GzZsSE9Pb3C52Wy+dOnSpUuXvvvuO0EQ/Pz87r333smTJ/v7+zc2TCciSdLq1auVzeHDh9tJtlgsyq1cWxYAAG73adwMS72x+TzvZrValdiDbcHX3tI3zFDgSGaXYbHdZruw+7YmrFedquzqy+tNXbMqqm0u8P/+isF1ZbiBfOrpBe9UTFaLEn/1xZmKn9M8UoY2qedRs8kNO3qp34URliMtvZU4YIrYe6wr6gEAAIAjaJQBAAAAXMhkMq1Zs+abb75xJNlgMGzcuHHTpk2PPPLIxIkTO+piQ5Ikpaam3nPPPUFBQY0mWCyWDz744PDhw/JmUlJSTEyMGwsEAMCL6EuqLPXtu1XCe1hq6y011c3nCYJUbxAsda6rRJLMVkl/9eVW0WSw2JxuUa0zdYizb2k+BR2Gbeu60WDRVTfyUHcD0WCqMLijUcZsMgkmXYtvZnFHbQAAAGgKjTIAAACAq+h0uqeffrqg4JcfLsfExNx33339+vWLiIjw8/MTBMFsNldVVeXm5n711Vdya4jFYlm7dm1cXNzgwYM9VrqL7dy5c+fOnePGjRs3blxsbGyXLl1EUbRYLNXV1cePH9+0aVNxcbGcqVark5OTPVstAAAAAAAAAKDDoFEGAAAAcIn6+vonn3yyrOw/k+prtdq//OUvgwcPbjBPjI+PT0RERERExMiRIysqKj744IMDBw54ol4P+Pbbb7/99ls7CRqN5rXXXgsLC3NbSQAAAAAAAACAjo3VYQEAAADnkyTppZdeUrpkevfunZqaOmTIEPurKYWFhT399NMvvPCCr6+vW8r0aomJiRs2bOjTp4+nCwEAAAAAAAAAdBzMKAMAAAA43/79+7OysuQ4ODj4lVde8ff3d/C2iYmJ69evr6qqcll1HiaK4pYtWy5cuHDq1Knc3NxLly6Vl5frdDqNRhMRETFgwIABAwYkJSUxkQwAAADgIhUXL2+b/ezktxfFDO3v6VoAAAAAd6NRBgAAAHAys9m8atUqZXPhwoWOd8nIwsLCOnabSEBAwKBBgwYNGuTpQgAAAIBOSZKsZouniwAAAAA8g0YZAAAAwMn+/e9/6/V6OY6Li4uPj3fu+JIk5eXl/fTTTydPnjx37lx5eblGo+nRo0ffvn2HDRs2dOjQVq/cJElSdnb2/v37f/rpp7KysoCAgP79+w8fPnzMmDFardYjtVksliNHjhw6dCgzM7OioiI0NLR///433XTTjTfe2NKhXHfcAAAAAAAAAADtBY0yAAAAgJPt3LlTie+77z5RFJ01cm1t7ddff71169bq6mrby41GY05OTk5OzpdffimK4ty5c8ePH29/v0VFRcnJyXK8bNmy+Pj4wsLCxYsXFxYW2g6bnp6enp6+evXqlJSUm2++2T21Kc6cObNs2TKdTqdcUlpaWlpaevDgQT8/v2efffaGG25wZBxX1AYAAAAAAAAAaI9olAEAAACcyWg0nj59Wtl07nQyCxcuzM/Pt58jSdKqVat+/PHHxYsXq1QqO2kWyy9zrefm5qakpEiS1FTy66+/XltbO2HCBDfUJvvmm2/efffdpq41GAxLly5NSUnp1q2b/XFcURsAAAAAAAAAoJ2iUQYAAABwpoKCAiUOCwsLCgpy+i5iY2PvuOOOgQMHhoeHBwQECIJgsVgqKirS09M3bNggr/p09OjRTZs2zZw505EBs7Oz09LSJEkaMGDArFmzevfuHRAQIElSaWlpWlra3r175bQ1a9YkJSWFhoa6obbs7GzbLplx48ZNnz49JiZGpVLp9frc3Nx169b9/PPPb7zxxl133eXIfXRibQAAAAAAAACA9osfSgIAAADOdOnSJSW+7rrrnDv4sGHDVq9e/d57740fP75nz55arVYURVEUNRpNZGTkpEmTPvzww4EDB8rJaWlpFRUVjgy7efNms9k8a9asV199dciQIfKwKpUqKipq3rx5jz76qJK5bds2N9RmsViWL1+ubP7lL39ZsGBB9+7d1Wq1KIoBAQHx8fHvvPPO2LFj7ZfkitoAAAAAAAAAAO0aM8oAAAAAzlRSUqLEvXr1cu7gs2fPtp/g5+e3ZMmSBx54wGAwCIKwZ8+eGTNmODLy2LFjp0+f3uhVkydP3rFjh3y/9u7dO3v2bFEUXVrbN998U1tbqww7YsSIq3NUKtWCBQsuXrx4/vx5+/t1bm0NmEym0tJS+zlWq1UQBEmS5ACNUpb94ih1Hg3WeuPUdx483+FBTa0y6QlNVOI9BQLtnPue7q3akyRJUgf9O8gHn06Ft/SdFm/pOyGe752Wcq694aQ7twYaZQAAAABnqqqqUuLw8HD3F6DVaqdNm7Z582ahJQ0fDz/8cFNXiaI4bdq0tWvXCoKg1+vLy8tbfb8crO2TTz6Rg4CAgDvuuMNOYfPmzUtJSWldMa2rrYH8/Px77rnHfo48sVB9fX15eXnb6+zYDAaD3KuEzsZqtfIE6WwkSeKkO8ibejvaPYvZ7GimxdHM1jGZzYJvo5ebbDe94ctooJ1y9bNYYbZYWnGruro6fQf9O6jX6+VlbdHZmM1m3t11NhaLhZPeaVVWVnq6BLibN5z0uro6OXDKByWWXgIAAACcyWT65b83NBrPNKYnJibKQUVFhSPfUSYmJgYFBdlJUJYlEgShjV+CNFtbWVlZWVmZHE+dOlWtVtsZrU+fPsHBwW2pp0W1AQAAAAAAAADaOxplAAAAAGfy8fFRYrPDv1p2rpCQECW2neGmKcOHD3d8wDb+eqDZ2i5evKjEv/rVr+yPJorirbfe2pZ6bLX0uAEAAAAAAAAA2h2WXgIAAACcyXaCk4qKClfsQpKk/Pz87OzsEydOXL58ubCwsMFqNbaTT1ZXV0dHR9sfMCYmxn6Cr+8vawMYjUaX1lZQUKDEUVFR9gsT/ruwkSOcftwAAAAAAAAAAO0OjTIAAACAM0VGRipxXl6e08fPyMhYu3ZtcXGxg/n2+1pkfn5+bSvqP5xS25UrV5RYq9U2O0hERITbartadHT0a6+9Zj/nww8/FATB19fX/vpWnZxerzeZTBqNJiAgwNO1wE0MBoPyRBNFsUuXLp6tB25jNpvr6+sFQeBV0UGiKHq6hI5DZXdJx//JVDma2TpNLS6pUf/Pt7WcfaDVVGq1YHHHBJ9qlUqwtPhWfn5+Ph3u72B9fb3ZbPb19XXWB0x4P/lznByr1WpHPsKjYzCZTHq9XqVSBQYGeroWuInyOU7WpUsX3ql2EpIk1dTUCN5x0lWq/yyX5JRKaJQBAAAAnKl79+5KfO7cOecOvm7dul27djl3TGdxVm22HSrKhx87HPkS1nXHLTAwcOzYsfZztmzZIgiCRqPh+2I7TCaTyWRSq9Ucpc7DdnE6URQ59Z2HKIr19fWcdHiEI28tZK7+ClglNl6JqPqf/Xr8m2ig/VK56+kjtqpRRqPRiB3u76A8YSdv6TsV28/vvLvrVCRJEjjpnZuvr6/jb63RrikzcHvDSVe+SqJRBgAAAPA63bp1U+KysjKdTuesX8zv27dP6fZQqVSTJ09OSkrq1q1bYGCgRqMRRVH5hFBQUJCcnOyUnbq/NttlnqxWa1O/t1Y0WD7JpbUBAAAAAAAAANo7GmUAAAAAZ/L39+/Tp09ubq68eeLEiZEjR7Z9WIvFsnbtWjkODg5+7733wsLC7CS3fY+Oc25t0dHRSlxXVxcSEmI/v6yszG21AQAAAAAAAADaO+ZEAgAAAJzszjvvVOJPPvlEnpC2jQoKCmpra+X4ySeftNPtIQhCUVFR2/foOOfWZrt2VXFxcbN7P3/+vNtqAwAAAAAAAAC0dzTKAAAAAE42cuRIZZHm8+fPnzx5su1jXrp0SYkHDBhgP/nIkSNt36PjnFtbXFycEh89erTZvX/33Xduqw0AAAAAAAAA0N7RKAMAAAA4mY+Pz5w5c5TN1157zWAwtGiEqqqqvLw820tsR1Cr1XZuazAY9u7d26LdtZFza4uIiFDmfdm+fbv95ZByc3OrqqrcVhsAAAAAAAAAoL2jUQYAAABwvnHjxinzl1RUVCxatEiv1zt426ysrEcffVSn09leGBERocQNemgaSE1NNZvNLay3TZxe27333isHdXV1e/bsaSpNkqTVq1e7uTYAAAAAAAAAQLtGowwAAADgfKIoLl26NCQkRN7Mycl5+OGHc3Jy7N9Kp9O9++67jXbVxMbGKvHKlSsbbemQJGnLli27d+9uW+0t5vTaxo8fr9Vq5Xjt2rXHjh1rdMDVq1fn5ua6uTYAAAAAAAAAQLtGowwAAADgElqtduXKldHR0fKmTqd76qmn5s2bd+DAgcLCQpPJJF9usViqqqqOHTu2YsWK3//+9998802jowUFBY0aNUqO8/Pz582bl5mZqfTT1NXVZWZmpqSkbNq0SRCE6dOnu/a+ubg2jUbz7LPPKptLlixZs2ZNYWGh1WoVBMFoNJ46dSolJUVeKWnKlCnurA0AAADoAMKu7fHY/k0xQ/t7uhAAAADAAzSeLgAAAADosEJCQlatWrVq1arvvvtOviQ/P3/FihX2b6VSqR566KGBAwc2uHz+/PmZmZk1NTWCIFy5cuX5559v9Obz5s1LSEjYunVrm8tvAafXlpCQ8Pjjj69Zs0be3L17d6MzvsyfPz8uLm7nzp3urA0AAAAAAAAA0H4xowwAAADgQr6+vn/84x/ffffdxMTEZpM1Gs3999//ySefTJkyRaVq+F5dq9WuWbOmX79+Td3c399/6dKlt99+e1uLbjlX1DZhwoSXX345MDCw0Ws1Gs2iRYtuu+02j9QGAAAAAAAAAGinmFEGAAAAcLm4uLgXXnhBp9OdOnUqKyvrzJkzRUVFlZWVPj4+4eHhffv27d27d3x8fO/evdVqtZ1xQkJCVqxYcfbs2X379mVnZ+fn5wuCEBUVNWjQoKSkpMTERB8fH3fdJ3fUNnjw4I8++igjI+PQoUPHjh2rrKwMDQ3t27fv6NGjR44c6e/v78HaAAAAAAAAAADtkShJkqdrAAAAAIAOa86cOUeOHJk7d+7s2bM9XYv3qqmp0ev1fn5+QUFBnq4FblJbW1tfXy/HKpXqmmuu8Ww9cBuj0VhdXS2KYnh4uKdraR9q80uEdv71ndlsrq6uVjaDg4M1Gs/8eE9UCT4+okOZalET6uu6SqyiKKkaqcRiFc02Z1uSBIPVdVW4Q3l5ueDRkw7363FNVH1dnRyn/OmZZ//c+MqnrmbRqKxqh57vbRSm1vuJlhbfzFcraAJcUI4nVVdXG43GgICApqYFRcej0+kMBoMcazSa0NBQz9YDt9Hr9TU1NWq1OiwszNO1wE0MBoNOp1M2r7nmmqsnw0aHZLVa5bf03nDSa2trb7nlFkEQPv300969e7dxND6fAAAAAAAAAF4qsGekp0toK5PJZKr6pekkMDSUnommvmBWq4UG7Tnt/X+brT71giCE+GqZwK/zsG1OCdD6hEe290dxsxyd5xIAAADeo7N/KAUAwEvo9fqzZ89mZ2efOXPmypUrFRUVVqs1MDCwV69e11577bXXXjtw4MDo6GhRbObnUHq9fsaMGXI8f/78sWPHtiKnqKgoOTlZjpctWxYfH9+m+4a2ceScdgxnz55duHChHK9evbpr166eraeB11577ccffxQEYcmSJddff72rd+ei8+7IsB3pFaDZ+3v8+PEXXnhBEISkpCTl4QcAAAAAAAAA6MBolAEAwMOuXLmyadOm/fv3X32V0WisqKjIzMyUN4OCgu65557bb7/d39/ez5Uslv9M+Wu1NjlJt/0cSZKUBNg3Y8YMvV4vx9u2bXPR3IOOnNOOQbmn3rY8aE5Ozg8//CAIQq9evRISEhrNaemDQa/X//nPf/7555/lzbCwsDfffNN2mmIXnfdmh+1grwD2729CQkK3bt3y8/N/+OGHO++8s2/fvu6tDgCAzq7o/Q3Cf/9GR43pIojOf7ubHxCTrgp2+rCOK/g52OLGN7fdfq72qvfS8ip7fn5+Hp+nHW5jMf/yRC4xFP1UdtROsrrcElUWGDlykOvrAgAAAH5BowwAAB5jMpk++OCD3bt3O5iv0+n+9re/paam3nPPPXfffbevr2/zt4GLWSyWjtRSgEZJkvTWW2/J8eOPP97UxE4tejDU1NT86U9/KiwslDejoqLeeuutoKCgtleLFhFFMTk5edGiRYIgvP322ytXrmx24i4AAOBE5Vu/kExmOY7s2U0w652+i8Kuo742BTh9WMf9dKSb0ey+fveE9CsWSwdvr4eXs1h+adWqNJXnVJ2ykxxq0Ppk+dIoAwAAADejUQYAAM/Q6XQLFy68fPmycknXrl2nTp06cODAiIgIrVYriqIkSXq9vqSkJDs7+5///Gd+fr4gCJIkbdmyxc/Pb/r06Z4rvz2prq5+4IEH5Pjpp5++6aabPFsP2p1Dhw7JT9VevXoNGuSEL3ArKysXLFhQUVEhb/bo0eP111/XarVtH7nDc8XTeciQId27d798+XJ+fn5GRsaIESPaPiYAAAAAAAAAwGvRKAMAgAfU1dU98cQTyn+Th4WFPfPMM1f/B7woilqtNjY2NjY2dtKkSfn5+e+//35WVpbb6233vHZBH3g/SZLWrVsnxw8++GDbpxspKSlZsGBBTU2NvNmnT5+XX37Zz8+vjcN2Hk5/OouiOGvWrJdfflkQhLVr1w4fPpxJZQAAAAAAAACgA6NRBgAAd5MkaenSpUqXTL9+/ZYvX+7If5P37Nlz+fLlGRkZr7/+elM5/v7+n3/+udNqBTq9o0ePlpWVCYIQEBCQmJjYxtEuX778xz/+Ua//z5oC8fHxS5cu9fHxuTrTRc/lzvYS4eD9HTFihJ+fn8FgKCkpyczMvP76691QGwAAAAAAAADAI1SeLgAAgE7n22+/PX36tBxHRET89a9/bdFkEsOHD//73//eq1cv11QH4H/84x//kIOpU6eq1eq2DHXhwoUnnnhC6ZIZMWLEsmXLGu2SgZup1epJkybJ8caNGz1bDAAAAOBqVbrLH33xUHFZjqcLAQAAADyDRhkAANzKZDK9//77yuazzz7r6+vb0kG0Wu2IESOcWheARhQUFPz8889y/Otf/7otQ506deoPf/iDsmzQLbfcsmjRojZ23sCJxo0bJwe5ublFRUWeLQYAAABwKUkQrFaLILA2MQAAADopll4CAMCtfvzxR6PRKMcDBgzo27evZ+txnMlkSk9PP3jw4JkzZyoqKkJDQxMSEm688cbhw4e39D/7LRbLiRMnjh07dvLkyby8PLPZHB4eHh8ff/311w8fPrwVnUMWiyUrK+vgwYMnT54sLi42m82DBg1avnx5S8dxqeLi4iNHjhw/fvznn38uLS1VqVSRkZG9e/ceMmRIYmJiVFRU23chSVJeXt5PP/108uTJc+fOlZeXazSaHj169O3bd9iwYUOHDm3FsVVGzs7O3r9//08//VRWVhYQENC/f//hw4ePGTNGq9U6OIjFYjly5MihQ4cyMzPlh1D//v1vuummG2+8sRWFueF4CoLw1VdfyUFYWFhMTEyrxzl69OjSpUuVzQkTJiQnJ4ui2MbyGuWip0PbXwFc9/h0ih49enTp0qWmpkYQhK+++mrmzJkeLAYAAAAAAAAA4Do0ygAA4FY7duxQ4unTpzt9fL1eP2PGDDmeP3/+2LFjnTJsVlbWSy+9VF9fr1xSWlr67bfffvvtt4GBgYsWLRoyZIgj40iStGfPntTUVIPBYHt5QUFBQUHB3r171Wr1Y4899tvf/rapHoKioqLk5GQ5XrZsWXx8fE5OzrJly6qrq23TTCaTIAhz5869cuWKJP3yI7nXXntNpWpkRr20tDSNxlXvi3Q63VtvvXX48OEGl+fn5+fn53///feCIAwcOPCRRx5pdeNUbW3t119/vXXr1gbHwWg05uTk5OTkfPnll6Iozp07d/z48fb7M64+woWFhYsXLy4sLLQdNj09PT09ffXq1SkpKTff/P/Zu/e4qOr8f+CfMzMwF4QBUVJBZBUvqKCokChqWYvZ2uYX3TV7FLa0iUmKRbrr6jdJ61G/0vKSkrgPNzO7yGpqtmhZWupmXDQUb4gXQJD7dZgbc+b8/vh8O3t2GIZh7sLr+QeP9znzmc95z7kMc3nP5zO9ywyvX7++fv361tZWfk1dXV1dXd3Zs2elUunq1asnTJhg5YN1wf6kOI7717/+ReOEhASb+zl9+vS7777LL86fP//ZZ5/tskrGmmu5W5eD9d12ZOczgEPOT9suZ+sfL8Mwjz76KH2K/vrrr5955hknVTIBAAAAAAAAAAAAgHth6iUAAADX0el0JSUl/OKYMWOcsRX2V0aj0SEd5ubmrlmzRvgduVBbW9vf/vY3vp7AArVavXLlyszMTJMqGSGWZTMzMzds2MDPUGOC4zj+ARJC8vPzX331VZNv34W9mewH4d2FukzeZs3NzS+88ELHqg4TV69eTU9P72wnd2nVqlW7d+/ubD9QHMdt37799ddft3ximOzhkpKSlJQUYZWMSeONGzfm5ORYTu/EiRMrV64UVskI6XS6jIwMWuDSJdfsT+ru3btarZbG1tfxmDh+/LiwSmbRokVJSUlWVmB0eS1363KwvlsT9j8DOOT8tPlytv7xxsTE0ECtVldWVlpuDAAAAAAAAAAAAAD3KYwoAwAA4DoVFRV8HBgY6OPj48ZkrFRQUHDw4EFCSEhISEpKyogRI2QymdForKqqOnDgwIkTJ2izDz/8cODAgdHR0Z31o9Pp0tLSqqur6WL//v0XLVoUFRXl5+fHMIxOpysuLt61a1dpaSkhJD8/f9OmTatWreoyty+//JIQEh4e/txzz4WHh8vlco7jampqzp4965CHb7/XX39drVbTOC4uLjExMTg4WKFQMAxjNBpVKhUdBOX48eP2b2vIkCFPPPFEREREYGCgXC4nhLAs29jYmJubu2fPHlrzcf78+X379lk5rUxRUVF2djbHcaNGjUpKSho6dCjdw3V1ddnZ2XzOmZmZcXFx/v7+nXWydetWfvGRRx6ZP3/+gAEDRCKRVqstKSnJysoqLS3dtGnTvHnzukzJlfuzqKiIj0NDQ23o4eDBgx999BG/uHTp0scee8z+xMxy0uXgqGcA4oTz0+GER7moqCg4ONgtaQAAAAAAAAAAAACAU6FQBgAAwHWEQxQMGzbMjZlYj35HPm3atFdeeUUsFtOVYrE4ODh4+fLlU6ZMWb9+PV351ltv7du3z8vLy2w/W7du5atkHn/88RdeeIHvjRAik8mioqK2bNmyY8eOb775hhBy5syZ2bNnR0ZGdpnb3Llz//SnP/FDdDAMM2DAAFpysXPnTkJIU1NTUlISvXXlypXTpk2zbVfYoKKigh9D6Omnn37qqaeEt4rFYqVSqVQqx44dm5ycfOTIEZs3NHHixNWrV4eEhJisl0gk/fv3/93vfvfoo4++9tprV69eJYRkZ2fPmTMnICCgy24/++wzQkhSUtK8efOEezgoKCg1NTU0NHTXrl105YEDB55//vmOPbAs++abb/KLa9eujY2N5RflcnlkZOSWLVu2bt36/fffHzhwwHI+Ltuf1M8//0wDhULR3bI2juP27t2bnZ3Nr3H2udfl5WBPt3Y+Azjk/HTB5ezn5yeVSumQVz///POsWbMc2DkAAAAAAAAAAAAAeAhMvQQAAOA6tbW1fGzbABVuERISkp6eLqxr4U2aNGnx4sU01mq1nU2/UlJScvr0aRrHxsampKSY7U0kEqWmpoaFhdHFzZs3cxxnObdx48YJywLMEolEZmMXuHHjBh9bLlaQy+ULFiygw2zYIDk5uWMVgpBUKl23bp1UKqWLx44ds7LnmTNnzp8/3+wenjNnTv/+/Wl8/PhxswfrxIkTbW1tfJLCKhmeSCRKS0sbOnRol8m4bH8SQjiOKywspPGoUaO6e/ctW7YIq2QyMjJcUKFlzeVgA/ufARx4fjr1cmYYJjw8nMYXL150bOcAAAAAAAAAAAAA4CEwogwAAIDrNDc387E143l4iNTUVAtfSM+ePfuTTz6hs+F88cUXv//97zt+T//pp5/ycVpamg5/Yz4AACAASURBVIUv8hmGWbZsWXp6OiGktrb27t27gwcPtpDbkiVLHF4W4ED19fU0kMlknY214zIKhSIxMZEOEnPs2LGFCxdacy+z48RQDMMkJibScT60Wm1DQ0NgYKBJm88//5wGcrn8iSeesNBVamoqPe4WuHJ/ajQalmVpzBdvWe/UqVM0YBjm7bffjoiIcFxqnXLS5WD/M4A1bDs/HW7YsGGXL18mhOj1erVarVAourxLZWVlRkaG5Ta0XEyr1Qr/C4AJesW1t7djL/Ue/NMsIYTjOBz63oMW1+Kg9yomFdUqlcrsCwaOI854ZS98tgEAT8MaWI1Gg/8IPQN9vtXpdAaDwd25gIsI/8myLItrufcwGo30Lw5670EPOq+lpcWTP5YHZ2htbXV3CoR+Ck06nJC2QaEMAACA67S3t/OxRNLFf+GWlpZFixZZaPDmm2+OHj3aMZl1TiaTWd6KWCxOTEz85JNPCCEqlaqqqmrgwIHCBhqNJj8/n8YzZszw9fW1vMXw8HC5XK7RaAghP/30k4VCmaCgoODgYCsfiFvwD1ar1ba1tXV3+h6Hi46OpoUIjY2NWq1WJpN12d7y8RLWf3QslKmvr+dLW+bOnWt2SBJeeHi4n59fS0uLhTau3J9NTU18/MADD9jTlWtqpJx0Odj/DGC97p6fzjBgwAA+bm5utqZQRqvVnj9/3nIbOtee0WgU/hcAs4xGo0Pe6MJ9h+M4XCC9EA56r9X5F6hdDCdpG47DfxYAz8URwrIs/iP0JHhJ32vhJX0vhIPem6EmshfyhOvdsTlg6iUAAADXEX5fbs1LSdaiLqclcoj4+Pgua8MnTJjAx7du3TK59c6dO3xszewzDMNERkbS+Nq1axZaumAuGzsNHz6cj99++22+3tldlEolH1vzg4+YmBjrOxRWllDCQz9p0iTLXTEM89BDD1lu48r9qVKp+NjPz6+7d+eLRTiOS09Pv3nzpsMy64STLgf7nwGs193z0xmEx1p4DgAAAAAAAAAAAABAj4ERZQAAAFxH+BVsx6oCzyQsTeiMcLyNu3fvmtwqXBMaGmrNRgcPHpybm0sIuX79uuVm1vTmRmFhYcHBwRUVFYSQwsLCp556Kj4+fvbs2cOGDbNmpIru4jiuvLy8qKjo8uXLFRUVVVVVOp1O2ED4o66WlpYuB0oRjq5hlre3Nx/r9XqTWysrK/k4KCjIclfk11E3LHDl/qRz5VA2DF2zcePGNWvW0FIhWivz3nvvDR061IEZmnDS5WD/MwDP4eenMwhPJBTKAAAAAAAAAAAAAPRIKJQBAABwnf79+/NxWVmZ5cZ+fn5HjhwxWXno0KHdu3c7PrPOCXPujFwu5+N79+6Z3FpeXs7Hy5cvF4lEhBA6HA7HcXxACDEajTTgZzhubW3lOK6zAS0CAgK681DcgGGY119/fdmyZXQmKULImTNnzpw5QwgJDAyMjY2NiYmJiIhwyBRCeXl5O3furKmpsbJ9x7qWjqRSqT0pCU8GawpZ+vXrZ7mBK/encJpty5NGmeXj4/Puu++++uqrpaWlhBCj0fjKK684tVbGSZeD/c8AlDPOT2cQHmvhOWCBQqGYPn265Tb0gYvFYmFtGZgwGAxGo1EkEnU5NSH0GHSEPBozDOOaierAExiNRjq2Ip4Vew+TYfm9vLzMv8Lvahw72zCMyDlzOgGAAzAMI5FI8B+hZ6Av6cVisQ1vouE+RQ86jfGSvlehL+lx0HsV/n0c1elLeuhx+HdznnDQHTvnFz6CBAAAcJ1BgwbxsW0TlLj+swZrPq4SZmUyRAQhhK9pIIRotVpHJUYIuS++TA0KCvrHP/6xe/fub775Rri+vr4+JycnJyeHEDJp0qTnnnvOyuF2zMrKyjp69Ki9uTqasNaBFkhZZk1djmv2J/nvhK0smDAhlUpprQytiqO1Mps3bw4LC7Mnsc446XKw/xmAeOr5aZYNBVIDBgx47733LLdJSUkhhEilUhum8eo9VCqVVqv18vLy9fV1dy7gIm1tbfyLBIZhcIH0Hnq9vqWlBQe9V2lvbxfOq+jj48O/dKkQNHPSZ65isZgYu24GAG4hFotkMm/8R+gZWlpa9Hq9t7e3Q36+AveF1tZW/nMAsViMa7n30Gq1KpVKJBLhoPceOp2utbWVX/T19bXm817oAYxGY0NDA/GMg85/YOuQTO6Dr5cAAAB6jODgYD6ura1Vq9XOmH/HsawZ10E4YUrHr9Xvi3IWp1IoFC+99FJycvIvv/xy9uzZ3Nxck2KC/Pz8/Pz8xMTERYsW2VCUferUKb4KQSQSzZkzJy4ubtCgQfQbCIZh+D4rKyuXLFli/yOykvBkoL8qs9zebI1FR87en1SfPn34WDgNU7fIZLKNGzemp6fTcZWMRuOKFSucVyvjDPY/A3js+WmWWq3mY+E5AAAAAAAAAAAAAAA9Rm//4goAAMCVZDLZ0KFD+bFkrly5MmnSJPem1KW6urou2wi/Wh44cKDJrQ888AAff/bZZ732d0UKhWLKlClTpkzhOK6pqenWrVunT5/+4Ycf+BEsDh48GBoaOnPmzG51y7Lszp07aezn57dt2zYLU/DYNjKKzYSHXq1WK5VKy+3r6+ut79xJ+5MnLJIQ/lqiu2Qy2aZNm4S1Mi+//PLmzZuHDBlic5+uZOczgCefn2a1tLTwMQplAAAAAAAAAAAAAHokjIkEAADgUk8++SQfZ2dnuzETK5WUlHTZpra2lo9DQkJMbv3Nb35jtmWvxTBMQEDAxIkTV6xYkZ2dnZyczN+UlZUlHJzDGpWVlfx4J8uXL7dQhUAIqa6utiFhmwmHUKqpqemyvW3zkTl2f/L8/f35uKqqyrZOKForw18aLMuuWLGCzsfk+ex8BvDk89Ms4bHusrQLAAAAAAAAAAAAAO5HKJQBAABwqalTp/JTEV29erW4uNi9+XTp9OnTHMdZbnP+/Hk+FpbFUMJZZgoKChyXmi26fCwuJpFI5s6dm5CQQBfVajWd79N6d+/e5eNRo0ZZbuzi/S889MKTpDMnT560c4v270+eXC7n54q6ffu2nYnJZLL33nuPrxxiWTYtLY2OMePh7HwGcOr56YzL+ebNmzSQSCSePzUeAAAAAAAAAAAAANgAhTIAAAAu5e3tvXjxYn7xnXfe0ev1bsynSxqN5vr16xYasCx78OBBGvv4+AwaNMikgVKpjIiIoPH+/fsNBoMz8rRAJPrPCx7Xb90aU6ZM4ePuzvKj0+n4mC/s6Kzl8ePHu5ubPfr168ePIPLll19anlinpKSkubnZIdu1Z3/yGIYZO3YsjS1fAlaSyWTvv//+fVcrY+czgMPPT6dezhzH8SPoREVFObZzAAAAAAAAAAAAAPAQKJQBAABwtVmzZoWHh9O4pqZm3bp1Hl4rs337dgvz15w4cUKlUtH4D3/4A8MwHdskJSXRQKPR7Nq1yxlJWiCTyfjYM+d+Eo560qdPn27dt1+/fnxseTaf3bt3u75OaMGCBTRQq9XHjh3rrBnHcTt27HDURu3Zn0KTJ0+mgVqt5k9ye9BxZfhSEoPBkJaWVlFRYX/PTmXPM4DDz0+nXs6tra18ZQ9/9AEAAAAAAAAAAACgh0GhDAAAgKsxDLN+/Xo/Pz+6ePny5SVLlty4caPLO+p0uqKiIidnZ0Zpaem2bdvMflNeWFi4fft2Gkul0jlz5pjtYcyYMfHx8TTOycnZvXu35cFFCCF1dXV79+5ta2uzI/H/I5FIfHx8aJyXl2d/h9bbv3//pUuXLD9YjUazd+9eGstkMmFhgTWGDBnCxx988IHZUgOO47744oucnJxu9ewQCQkJ/Pw1O3fuvHDhQsc2tEqGH8nDAhfsT6HIyEg+tlzkYT25XP7+++/fX7Uy9jwDOPz8dOrlXFpaysdjxoxxbOcAAAAAAAAAAAAA4CFQKAMAAOAGffr02b59+4ABA+hiXV1denr6Sy+9dOLEifLyco1Gw3Ecvam9vb25ufnSpUvbt2//4x//+NNPP7k41SeeeIIQ8t13373yyiuXL1+mg98YjcaampqsrKz//d//5VuuWrXK29u7s37S0tIGDhxI40OHDj377LNff/11VVUVP5qO0Whsa2srLS09duzYihUrkpOTs7OzLYxj0S0zZ86kwbVr17766qvW1lZ+DzvVzZs316xZs2DBgqysrMLCwoaGhvb2dnoTy7KNjY2nTp1avHhxY2MjXblkyRKzQ/JY4OvrO3XqVBqXl5enpqYWFhZqtVq6Rq1WFxYWpqen79u3jxAyf/58xzwwq0kkktWrV/OL69aty8zMrKqqokdWr9dfvXo1PT2dzrnz5JNPWu7NBftTKCQkhD+lz58/b3M/JmitDH856PV6T66VsfMZwBnnp/Mu54KCAhrIZLKQkBCH9AkAAAAA4IH8fYOTnvw4KHCkuxMBAAAAAHAPibsTAAAA6KWUSuUHH3zw4Ycfnjhxgq4pKyvbunWrNfcNCAhYvHjx6NGjnZng/5k8eXJERMQ777xz69YtYcWDieeffz4mJsZCP1KpdMuWLRs2bLh06RIhRKVS7dy50/HpdmLu3LlfffUVjXft2kWnfxKJRHwVRXZ2tkTirNdFer3+6NGjR48etdxs1qxZDz/8sA39L1u2rLCwkE5/c+/ePWHtglBqauq4ceP++c9/2rAJe4wbN+7FF1/MzMykizk5OWbHDlm2bFlYWNjhw4e77NDZ+5MnEokee+yxI0eOEEK+/fbbZ555xp7ehGitzIoVK6qqqsivtTJbt27lR5rxHPY/Azj8/HTS5cxx3Lfffkvjxx9/3J4SKwAAAAAAAAAAAADwZBhRBgAAwG28vb2XL1++ffv2uLg4K+8yZsyYN99886OPPpo6darLvseNj4/PyMjobLQYuVy+YcOGLscCIYTIZLI33nhj7dq1SqXSckuGYRISErZt2+br62tLxh3079//L3/5i8keMxqN7K8cshWb+fr6rly5cunSpbYdU4VCkZmZOWLEiM4ayGSyjIyMWbNm2ZGjXWbPnv3WW2/xM+aYkEgka9as+e1vf+uozdm5P4Vmz55Ng8bGRlrU4igKhWLz5s38sFK0Vsaxm3AUO58BHH5+OulyrqysbG1tpbEbLxYAAAAAAAAAAAAAcDaMKAMAAOBmgwcPXr16tUajKS4uvnjxYnFx8b179+rr641Go1wuHzRoUFhYWEhIyPDhw4cNG6ZQKNyS5IQJE/bt2/fzzz+fPXv22rVrTU1Nfn5+0dHRDz744OTJk8VisZX9MAwTGxv78ccfl5WV5eXl3bhxo7i4uKmpiRASFBQ0ePDgYcOGRUVFjRgxwsvLy7EPYerUqZ9//vm5c+fy8vLu3LlTVVVlMBgcu4mOVq1aVVtbW1ZWdufOndu3b9+7d6+2tlaj0RiNRqVSGRoaOnr06Ojo6BEjRohEdpUvK5XKd99998aNG6dOnSoqKiovLyeEBAUFjR49Oi4uLjo62uH7s7vGjBnzySef5OXlnTt37sKFC01NTf7+/sOHD4+Pj588ebJMJrOmE5ftT15wcPDgwYPp/jx58uTChQsd0i1Fa2XS0tKqq6sJITqdbtmyZdu2beOrZzyHnc8ADj8/nXE5f//99zQICwvjJ8YCAAAAAAAAAAAAgJ6H4TjO3TkAAAAAAHiovLy8DRs2EELkcvmnn35qfVkY3EdYll24cKFWqyWErFu3buLEiY7tPyUlpaCgYOnSpcnJyY7tuSdRqVRarVYqlTpqLDHwfG1tbRqNhsYikahv377uzQdcRq/Xt7S0MAwTGBjo7lzARdrb25ubm/lFf39/fp7Euk/+SYxGGveN9WEYo8O3XintVyhy5z+X6so+rOMfVqeCKlqJJ33cq1arCSFSqRQvpHuPPyY9qNP937/4pauWvPTXVAuNxQ3tgS2+gdHhLkkNnKulpUWv18vl8s4GlIWep7W1VafT0Vgikfj7+7s3H3AZrVarUqnEYnFAQIC7cwEX0el0/GDMhJC+ffs66peK4OGMRmNDQwPxjIPe1tY2Y8YMQsj+/fuHDh1qZ28YUQYAAAAAoFOTJk0KCAhobGzUaDQXLlyYNGmSuzMCxysoKKBVMoGBgRMmTHB3OgAAAL1Iv2fmO3sTwYQEO3sbloW6d/NuVldXRwhRKpVuH+QSXEb8p/9Mk9rXu19EwFhLrfEFKwAAAAC4A0q9AAAAAAA6xTBMSkoKjffs2YPhGHsejuP27NlD48WLFzMMY7k9AAAAAAAAAAAAANzXMKIMAAAAOJ5Wq124cCGNly1bNnPmTPfmc1/rPTvzxo0bq1atovGOHTsGDhzo3nx4cXFxgwYNqqysLC0tTUxMXLdu3fjx4529UScdd2u6ra6uXrJkCY3Xr18fGRnpkE27RZeP95dffsnIyDAajYSQ4ODgyZMnuzpFAAAA6CZNdSNpaWY6//Wft1Is8iKEEKOXpIGRax097RFrEOv17q6sNRKZpt3NOVinqamVENLaxPHzbUGPJ/xxgc6oa9Y3dXkXPy8lCtYBAAAAwJXw/gQAAABMLVy4kM5CQgg5cOCAbRNPsixLA/oNdE/lkH3VpV6yM4ngkXrUwC0Mw8ybN2/btm2EEJFIFBUVZbZZd08GrVb717/+tbS0lC4GBAS89957wvm8nXTcu+yW4zi+TQ9g+fFGRUWJxWJ60/z58/HpPAAAgOe7nnXU5+q/2yvuddZgxF/HE20ZIUQ7dvLn+tBLDQ2OTSBYEnz4Rze/WOojZsLO3HVvDgCdadf/5wIpU9/69u7XXd7l92F/8Ga8nZkUAAAAAMB/wdRLAAAAYIoVcHcung77qjfgOO7gwYM0bm9vv3Tpktlm3ToZVCrV8uXLb926RdsHBgZu2bJFWCUDrnHx4sX29v/7NfbBgwc9qkILAAAAAAAAAAAAAJwBhTIAAAAAAJacO3euoqKCEBIaGnr48OFx48bZ2WFTU1NqampVVRVdDAkJ2bp1q6+vr72J9gItLS3/86t///vf9nc4fvz4w4cPBwcHE0LKy8vz8vLs7xMAAAAAAAAAAAAAPBkKZQAAAAAAOsVxXFZWFo2fe+45+6fmqa2tXbp0aWNjI10MDw9///33FQqFnd32HvywPY4a/YVhmKSkJBrv3LkTg8oAAAAAAAAAAAAA9GwSdycAAAAAPZBMJjty5Ii7swBwgPPnz9fX1xNC5HJ5dHS0nb1VVFS8/PLLWq2WLkZGRmZkZHh5eXVs6aSLqLddm1Y+3tjYWKlUqtPpamtrCwsLx48f74LcAAAAAADcorm14qtTaxOmrA4KHOHuXAAAAAAA3AMjygAAAAAAdOqjjz6iwdy5c8VisT1d3b59+6WXXuKrZGJjY9evX2+2SgZcTCwW/+53v6Pxxx9/7N5kAAAAAACciiPEaGQJwUiKAAAAANB7oVAGAAAAAMC8ysrK0tJSGj/88MP2dHX16tUVK1awLEsXZ8yYsWbNGjsrb8CBHnnkERqUlJRUV1e7NxkAAAAAAAAAAAAAcB5MvQQAAAAehOO4oqKiH3/88eLFi/X19XK5fOTIkTExMdOmTVMoFNb3w7Ls5cuXL1y4cOXKlbKyMoPBEBgYGBkZOX78+JiYGG9vb+c9hM7U1NQUFBT88ssvpaWldXV1IpGof//+Q4cOHTt2bHR0dFBQkP2b4DiurKzs4sWLV65cuXnzZkNDg0QiCQkJGT58+MSJE6Oiomx+4A45LizLFhQUnDt3rrCwsLGx0d/ff+TIkVOmTHnwwQdtSMwF+5MQ8s0339AgICBgwIABNvdz/vz5jIwMfnH27NlLlixhGMbO9MxiWfbSpUtnz569cuVKTU2NwWAYPXr0m2++aWe37e3tubm5Z8+evX79Oj1848aNe/DBB2NiYqws93He+ekQISEhffr0UalUhJBvvvnm2WefdWMyAAAAAAAAAAAAAOA8KJQBAAAAx9NqtQsXLqTxsmXLZs6c2bFNdXX1kiVLaLx+/frIyMiqqqrXXnutqqqKb6PX63Nzc3Nzc3fs2JGenj59+vQuN81x3LFjx3bv3q3T6YTrKysrKysrjx8/LhaLFy9e/NhjjzmpTKGj1tbW999/Pz8/32R9eXl5eXn5Dz/8QAiJiIj485//PHz4cNs20dbW9u233/7zn/9saWkRrtfr9cXFxcXFxV9//TXDMEuXLk1ISLD8wJ10XK5fv75+/frW1lZ+TV1dXV1d3dmzZ6VS6erVqydMmGDlg3XB/qQ4jvvXv/5F44SEBJv7OX369Lvvvssvzp8//9lnn+3y9LPtIiouLl6/fr3JadDe3t6tbju6dOnSG2+8odFo+DV1dXXffffdd9995+Pjs2bNmrFjx1q4u0POz6VLl967d4/j/jM+/DvvvCMSmRkgMzs7WyKRdPfxMgzz6KOPHjp0iBDy9ddfP/PMMy57igAAAAAAAAAAAAAAV8LUSwAAAOAU7K+MRqPZBhzH8W0IISUlJSkpKcJqDJPGGzduzMnJsbxRtVq9cuXKzMxMkyoZk8QyMzM3bNjAT4LjVM3NzS+88ELHqg4TV69eTU9PFxYidMuqVat2795tUoVgguO47du3v/76650dEb6Zw4/LiRMnVq5cKaySEdLpdBkZGbTApUuu2Z/U3bt3tVotja2v4zFx/PhxYZXMokWLkpKSrKzA6O5FlJ+f/+qrr1o+Dazp1kRubu6aNWs625ltbW1/+9vf+IoisxxyfnbMWfjwhcze0ZrHGxMTQwO1Wl1ZWWm5MQAAAAAAAAAAAADcpzCiDAAAALhfUVFRdnY2x3GjRo1KSkoaOnSoXC7nOK6uri47O/v48eO0WWZmZlxcnL+/v9lOdDpdWlpadXU1Xezfv/+iRYuioqL8/PwYhtHpdMXFxbt27SotLSWE5Ofnb9q0adWqVc5+aK+//rparaZxXFxcYmJicHCwQqFgGMZoNKpUKjoICv8Y7TFkyJAnnngiIiIiMDBQLpcTQliWbWxszM3N3bNnD635OH/+/L59+6ycVsYhx6WoqGjr1q384iOPPDJ//vwBAwaIRCKtVltSUpKVlVVaWrpp06Z58+Z1mZIr92dRUREfh4aG2tDDwYMHP/roI35x6dKljz32mP2JmVVQUPDll18SQsLDw5977rnw8HB6sGpqas6ePWtPtwcPHiSEhISEpKSkjBgxQiaTGY3GqqqqAwcOnDhxgjb78MMPBw4cGB0dbaErh5+fDic8ykVFRcHBwW5JAwAAAAAAAAAAAACcCoUyAAAA4H6fffYZISQpKWnevHn8YBsMwwQFBaWmpoaGhu7atYuuPHDgwPPPP2+2k61bt/JVMo8//vgLL7wgFov5W2UyWVRU1JYtW3bs2PHNN98QQs6cOTN79uzIyEjnPa6KioqSkhIaP/3000899ZTwVrFYrFQqlUrl2LFjk5OTjxw5YvOGJk6cuHr16pCQEJP1Eomkf//+v/vd7x599NHXXnvt6tWrhJDs7Ow5c+YEBAR02a39x4Vl2TfffJNfXLt2bWxsLL8ol8sjIyO3bNmydevW77///sCBA5bzcdn+pH7++WcaKBQKHx+fbt2X47i9e/dmZ2fza1auXDlt2jQ7U7KAlrPMnTv3T3/6k/BgDRgwwJoKJMvdTps27ZVXXuEvKLFYHBwcvHz58ilTpqxfv56ufOutt/bt2+fl5dWxE4ecnzt37iSENDU1JSUl0TUO36V+fn5SqZSOR/Xzzz/PmjXLgZ0DAAAAAAAAAAAAgIdAoQwAAAB4hJkzZ86fP9/sTXPmzDl06FBtbS0h5Pjx48nJyR1nrikpKTl9+jSNY2NjU1JSzM5uIxKJUlNTi4uL79y5QwjZvHnz3//+dyvnwbHBjRs3+NhysYJcLl+wYIHNG0pOTrbcQCqVrlu3btGiRbQI4NixYwsXLrSmZzuPy4kTJ9ra2vgkhVUyPJFIlJaWdufOnVu3bllOxmX7kxDCcVxhYSGNR40a1d27b9my5dSpU/xiRkaGzZM3WW/cuHHCKhlHCQkJSU9PF4nMzNk6adKkxYsXZ2VlEUK0Wu2//vWvJ598smMzB56fwjTMpmQPhmHCw8MvX75MCLl48aKV92ppaTl58qTlNvRxGQwGfjIv6IhOm8WyLPZS72EwGPiY4zgc+t6DHnoc9F7FZG5EvV4vfAboLoPBwHGchQZGo1H0a2DlXJPdYjRa2joA2ECn0xkZx1+t4GL02R5vfHoV4b94o9GIQ997tLe3E7yk72VMXsDrdDrnfagOHoV/8+UJB51/zrH8ltBKKJQBAAAAj9DZODGEEIZhEhMT6XgSWq22oaEhMDDQpM2nn37Kx2lpaRZesTEMs2zZsvT0dEJIbW3t3bt3Bw8ebG/2naivr6eBTCYzO9KGKykUisTERDpIjPWFMnYel88//5wGcrn8iSeesNBVamoqPSgWuHJ/ajQa/uOesLCw7t6dr5JhGObtt9+OiIhwXGqdWrJkiTPeq6SmplooSZk9e/Ynn3xC58P64osvfv/739uWg23np8MNGzaMFsro9Xq1Wq1QKLq8S11d3YYNG7rslvapUqkckmcPZjAYsJd6J47jcOh7IRz0XoufSdM2er3ecvkLf6vRyLJOKJRhWQMhDi7Y7S6HfC4M4DlUKpUX4+a3zOAo7e3t9Bt06G3ojNjuzgJcCge9N+N/Gwm9hyccdP69pEPeELn5TR0AAAAAISQ6OtrX19dCA2GdQUNDg8mtGo0mPz+fxjNmzLDcFSEkPDxcLpfT+Keffup2ulbjM9FqtZ7wOjI6OpoGjY2N1vzgw87jUl9fz5e2zJ07VzgTVkfh4eF+fn6W83Hl/mxqauLjBx54wJ6uXFMjFRQUFBwc7PBuZTLZ6NGjLTQQi8WJiYk0VqlUVVVVNm+ru+enMwwYMICPm5ub3ZIDAAAAAAAAAAAAADgVCmUAAADA/WJiYiw3UCqVfCysYKDoPErUtGnTepnmbgAAIABJREFUutwcwzCRkZE0vnbtmpVJ2mD48OF8/Pbbb9v521n7CXejNUUADjwukyZNstwVwzAPPfSQ5Tau3J/CH8R0WcHT0cCBA2nAcVx6evrNmzcdllknrDnzbRAfH9/lCDHCWaW6nD/Lgu6en84gPNb4URQAAAAAAAAAAABAj4SplwAAAMD9hKM4mOXt7c3Her3e5Na7d+/ycWhoqDVbHDx4cG5uLiHk+vXr1mbZfWFhYcHBwRUVFYSQwsLCp556Kj4+fvbs2cOGDbNmSpfu4jiuvLy8qKjo8uXLFRUVVVVVOp1O2EA4Rn1LS0uXA6XYeVwqKyv5OCgoyHJX5NfpaSxw5f4Ujljj4+PT3btv3LhxzZo1tFSI1sq89957Q4cOdWCGJpw0g5iwOKkzwhNJeDGacPj56QzCEwmFMgAAAAAAAAAAAAA9EgplAAAAwP2kUqk9dy8vL+fj5cuXi0Qi8usslRzH8QEhxGg00oBlWdq+tbWV47gux8ywDcMwr7/++rJlyzQaDV1z5syZM2fOEEICAwNjY2NjYmIiIiJsqMPoKC8vb+fOnTU1NVa271jX0pGdx+XevXt8bE0hS79+/Sw3cOX+5M8QQojlSaPM8vHxeffdd1999dXS0lJCiNFofOWVV5xaKxMQEOCMbvv3799lG34iM/LfB13IGeenMwiPtfAcsCAsLOzUqVOW27zyyiuEELlcHhgYaEd2PVxbW5tWq5VKpX369HF3LuAiarWafz4XiUROeh4DD6TX61tbWxmG6du3r7tzARdpb29vaWnhF5VKpURi+2eScrlcJBYbO28gFkuIgRBCJBIvidHxH356SbwIsep1gvM46f0LgLv07dvXW+TddTvwbK2trXq9Xi6XO+OnQeCZVCoV/xsYiUQiHCkWejY6K7pYLPb393d3LuAiOp1O+KOygIAA+iE89HhGo7GxsZF4xkGXyWQ0cEgmKJQBAACA+x7/NRshRKvVujGTjoKCgv7xj3/s3r37m2++Ea6vr6/PycnJyckhhEyaNOm5556zciwcs7Kyso4ePWpvro4mrHWw5pWrNXU5rtmf5L8TtrJgwoRUKqW1MmVlZeTXWpnNmzeHhYXZk1hn7Pm2yQLhoEGdERaXmAwSQ3nm+WmWDQVSIpGoy8IO+lUWwzD4Tssa2Eu9Fg5978Efaxz03sPkWNv5P7HLOwtvdk45vDM6BejV8FK5h8HR7LVw6HsPvKTvhRz7kh7uI8Lr3e0H3bEJoFAGAAAA7ntOKhFwFIVC8dJLLyUnJ//yyy9nz57Nzc01KSbIz8/Pz89PTExctGiRDS/1Tp06xVchiESiOXPmxMXFDRo0yMfHRyKRCF+/VlZWLlmyxP5HZCVhjYXRaOyy7MBsjUVHzt6flLD0QTgNU7fIZLKNGzemp6fTQY+MRuOKFSucVyvjDNaM7CKcMqljYY3Hnp9mqdVqPsa4JgAAAAAAAAAAAAA9kkd/qwQAAABgjQceeICPP/vsM4fMvONwCoViypQpU6ZM4Tiuqanp1q1bp0+f/uGHH/gRLA4ePBgaGjpz5sxudcuy7M6dO2ns5+e3bds2C1NX2DYyis2Ex0WtVnc5AG99fb31nTtpf/KERRKtra22dUIIkclkmzZtEtbKvPzyy5s3bx4yZIjNfbpSXV1dl22ExSUDBw4U3uTJ56dZwlkhUCgDAAAAAAAAAAAA0CNh8jAAAAC47/3mN7/h49raWjdmYg2GYQICAiZOnLhixYrs7Ozk5GT+pqysLOHgHNaorKzkxztZvny5hSoEQkh1dbUNCdssODiYj2tqarpsf+vWLRu24tj9yRNOsVxVVWVbJxStlQkJCaGLLMuuWLGCzsfk+UpKSrpsI7zo+IdJefL5aZbwWGNudQAAAAAAAAAAAIAeCYUyAAAAcN8TTmRTUFDgvkS6TSKRzJ07NyEhgS6q1eqGhoZu9XD37l0+HjVqlOXGLt45wuNy/vz5LtufPHnSzi3avz95crmcnyvq9u3bdiYmk8nee+89vnKIZdm0tDQ6xoyHO336NMdxltsID66wao04+fzsMjEb3Lx5kwYSiUShUDi8fwAAAAAAAAAAAABwOxTKAAAAwH1PqVRGRETQeP/+/QaDwb35dNeUKVP4uLuz/Oh0Oj7mCzs6a3n8+PHu5maPfv368SOIfPnll5Yn1ikpKWlubnbIdu3ZnzyGYcaOHUvj69ev25+VTCZ7//3377taGY1GY/nhsyx78OBBGvv4+AwaNEh4q8PPT5HoP+9fHH6lcxzHj6ATFRXl2M4BAAAAAAAAAAAAwEOgUAYAAAB6gqSkJBpoNJpdu3a5N5nuEo560qdPn27dt1+/fnxseTaf3bt3u76EaMGCBTRQq9XHjh3rrBnHcTt27HDURu3Zn0KTJ0+mgVqtVqlU9qb167gyfCmJwWBIS0urqKiwv2en2r59u4UZrE6cOMHvnD/84Q8Mwwhvdfj5KZPJ+Njh86y1trbylT380QcAAAAAAAAAAACAHgaFMgAAANATjBkzJj4+nsY5OTm7d++2PH4JIaSurm7v3r1tbW3Oy2r//v2XLl2ynIlGo9m7dy+NZTKZsLDAGkOGDOHjDz74wGypAcdxX3zxRU5OTrd6doiEhAR+/pqdO3deuHChYxtaJcOP5GGBC/anUGRkJB9bLvKwnlwuf//99++vWpnS0tJt27aZrZUpLCzcvn07jaVS6Zw5c0waOPz8lEgkPj4+NM7Ly7PmLtYrLS3l4zFjxji2cwAAAAAAD+HvG5z05MdBgSPdnQgAAAAAgNugUAYAAAB6iLS0tIEDB9L40KFDzz777Ndff11VVaXX6+lKo9HY1tZWWlp67NixFStWJCcnZ2dnWxgqw343b95cs2bNggULsrKyCgsLGxoa2tvb6U0syzY2Np46dWrx4sWNjY105ZIlS0wG5OiSr6/v1KlTaVxeXp6amlpYWKjVaukatVpdWFiYnp6+b98+Qsj8+fMd88CsJpFIVq9ezS+uW7cuMzOzqqqK7na9Xn/16tX09HQ6586TTz5puTcX7E+hkJAQb29vGp8/f97mfkzQWhn+XNXr9Z5cK/PEE08QQr777rtXXnnl8uXL9GoyGo01NTVZWVn/+7//y7dctWoVv7t4zjg/Z86cSYNr16599dVXra2tHMfZ9SB/VVBQQAOZTBYSEuKQPgEAAAAAAAAAAADA00jcnQAAAAB4tMTERCtLDZ555pl58+Y5Ox8LpFLpli1bNmzYcOnSJUKISqXauXOnG/Ph6fX6o0ePHj161HKzWbNmPfzwwzb0v2zZssLCQjr9zb1794S1C0Kpqanjxo375z//acMm7DFu3LgXX3wxMzOTLubk5JgdO2TZsmVhYWGHDx/uskNn70+eSCR67LHHjhw5Qgj59ttvn3nmGXt6E6K1MitWrKiqqiK/1sps3bqVH2nGc0yePDkiIuKdd965deuWsObJxPPPPx8TE2P2Joefn3Pnzv3qq69ovGvXLjrVmkgk4p+psrOzJZJuv83hOO7bb7+l8eOPP25PiRUAAAAAAAAAAAAAeDKMKAMAAACWGI1G1jqOGtTBHjKZ7I033li7dq1SqbTckmGYhISEbdu2+fr6uiY3C3x9fVeuXLl06VLbvptXKBSZmZkjRozorIFMJsvIyJg1a5YdOdpl9uzZb731Fj9jjgmJRLJmzZrf/va3jtqcnftTaPbs2TRobGykRS2OolAoNm/ePGDAALpIa2UcuwlHiY+Pz8jI6DhaDCWXyzds2GBhNCCHn5/9+/f/y1/+YnJwhc9UVvZjorKysrW1lcZuvFgAAAAAAAAAAAAAwNkwogwAAAD0KAzDxMbGfvzxx2VlZXl5eTdu3CguLm5qaiKEBAUFDR48eNiwYVFRUSNGjPDy8nJ2MqtWraqtrS0rK7tz587t27fv3btXW1ur0WiMRqNSqQwNDR09enR0dPSIESNEIrvKl5VK5bvvvnvjxo1Tp04VFRWVl5cTQoKCgkaPHh0XFxcdHe2CB2vZmDFjPvnkk7y8vHPnzl24cKGpqcnf33/48OHx8fGTJ0+WyWTWdOKy/ckLDg4ePHgw3Z8nT55cuHChQ7qlaK1MWlpadXU1IUSn0y1btmzbtm189YznmDBhwr59+37++eezZ89eu3atqanJz88vOjr6wQcfnDx5slgstnx3h5+fU6dO/fzzz8+dO5eXl3fnzp2qqiqDwWD7wyOEEPL999/TICwsjJ8YCwAAADyQtK+fODDQQkk05+VHJA8QQhiJjx+RBckdXBnfh0hDAxzbZbfJRcwDg9xf8W8NWscsHP8PejzhofYSeffx6vpcZQhODwAAAABwKcYTfvwNAAAAAOCZ8vLyNmzYQAiRy+Wffvppl0UhcD9iWXbhwoVarZYQsm7duokTJzq2/5SUlIKCgqVLlyYnJzu2555EpVJptVqpVOoJA32Ba7S1tWk0GhqLRKK+ffu6Nx9wGb1e39LSwjBMYGCgu3MBF2lvb29ubuYX/f39bZgnEe5TdXV1hBClUun22n1wGR8fH7VaTeO1a9fS91PQG7S0tOj1erlc3tmAstDztLa26nQ6GkskEn9/f/fmAy6j1WpVKpVYLA4IcHf5MLiKTqfjB2MmhPTt29dRv1QED2c0GhsaGohnHPS2trYZM2YQQvbv3z906FA7e8MZDAAAAADQqUmTJtH3/BqN5sKFC+5OB5yioKCAVskEBgZOmDDB3ekAAAAAAAAAAAAAgBPh1xsAAAAAAJ1iGCYlJeXtt98mhOzZs2fixIldDhpfU1Nz4cKFK1eu3Lx5s6amhs4MNXjw4LCwsNGjR48cOVKpVLokdw9148aNVatW0XjHjh1un+eI47g9e/bQePHixZgUAAAAAAAAAAAAAKBnQ6EMAAAAAIAlcXFxgwYNqqysLC0tvX79+qhRozpreevWrQ8++KCkpMRkfW1tbW1t7fnz5w8ePEgICQ0N/f3vfx8fH69QKJybuqdiWZYGnjAP7JUrV8rLywkhwcHBkydPdnc6AADQo7Tervo+8TXXbGvkI8O9GytsuSfD+H0w1dHp/BeO41gZyy82tosZAypTHaPkl8CvP29zdxaWGAwGQohYLEY5cu/R3m7k40OXqkv+kevGZISWhFVP4/Jdv13RjL8RsdT12wUAAAAAC1AoAwAAAABgCcMwL7/88sqVKwkhO3bs2LJlS8dP+TmO+/zzzz/77DNrOiwrK/vggw/27dvHD2QC7sJx3Icffkjjl19+Gd/fAACAYxl1+obCm67ZVvu4vsbbd2y5J8PIjZ3WATuMYPp3A0eI+2tlewhVm6zsTqO7swD4L5zxP1d4vbq9uEblxmSEWvqrSXu5GzbsAT8PAAAAAAATKJQBAAAAAOjCyJEj4+Lifvrppzt37ly8eHHcuHEmDY4ePSqskomMjJw3b96wYcP69OkjEomMRmNLS0tZWdmpU6e+++471+YOlhQWFpaWlhJC4uLiRowY4e50AAAAAAAAAAAAAMDpUCgDAAAAANC11atXd3ZTdXX1rl27+MWMjIwJEyYIG4jF4oCAgICAgHHjxqWkpHz11Vf79u1zYq5gtfHjxx85csTdWQAAAAAAAAAAAACA64i6bgIAAAAAAJ3Lzs7m45deesmkSsaETCb7wx/+8Omnnz788MPOTw0AAAAAAAAAAAAAAP4LCmUAAAAAAGzHcdyJEydoLBKJHnnkEWvupVAonnvuOSemBQAAAAAA0EFza8UnX/2ppr7Y3YkAAAAAALgTCmUAAAAAAGzX0tJiNBppHBERIRaL3ZsPAAAAAABAZzhCjEaWEM7diQAAAAAAuJPE3QkAAAAAANzHNBoNH/v5+bkxEzuxLHv58uULFy5cuXKlrKzMYDAEBgZGRkaOHz8+JibG29vb+n4KCgrOnTtXWFjY2Njo7+8/cuTIKVOmPPjgg9Z34qTceBzHFRUV/fjjjxcvXqyvr5fL5SNHjoyJiZk2bZpCobAtSQAAAAAAAAAAAAC4L6BQBgAAAADAdhLJf15R37lzx87etFrtwoULabx8+fKHH37YbLOTJ09u3bqVxgzDZGdnmx3JhuO4p59+WqvVEkLmzp27aNEis71xHHfs2LHdu3frdDrh+srKysrKyuPHj4vF4sWLFz/22GMMw1jO//r16+vXr29tbeXX1NXV1dXVnT17ViqVrl69esKECZZ7cHhu1dXVS5YsofH69esjIyOrqqpee+21qqoqvo1er8/Nzc3Nzd2xY0d6evr06dO7lSQAAAAAAAAAAAAA3Ecw9RIAAAAAgO2USiUf37t3r7a21p7eZDJZcHAwy7Isy54+fbqzZqdPn2Z/ZTAY7t69a7ZZbW1tW1sbbTZx4kSzbdRq9cqVKzMzM00qUYRYls3MzNywYQPLshaSP3HixMqVK4VVMkI6nS4jI+OHH36w0IMzcuM4jt9XhJCSkpKUlBRhlYxJ440bN+bk5FifJAAAAAAAAAAAAADcXzCiDAAAAACA7by8vEaNGnXt2jW6uGHDhrfeesvHx8fmDh966KGPP/6YEJKfn8+ybMehYliWzc/PF665cOHCkCFDOnZVVFTEx+Hh4R0b6HS6tLS06upquti/f/9FixZFRUX5+fkxDKPT6YqLi3ft2lVaWkrz2bRp06pVq8ymXVRUxA9yQwh55JFH5s+fP2DAAJFIpNVqS0pKsrKySktLN23aNG/ePGv2gwNzEyaZnZ3NcdyoUaOSkpKGDh0ql8s5jqurq8vOzj5+/DhtlpmZGRcX5+/vb02eAAAAAAAAAAAAAHB/wYgyAAAAAAB2efrpp/n4zp07zzzzzN69eysqKjiOs6E34eRE5eXlHRt0HD/m1KlTZrs6c+YMDYYMGSKTyTo22Lp1K1+J8vjjj2dlZU2fPt3f318kEjEMI5PJoqKitmzZkpCQwHd46dKljv2wLPvmm2/yi2vXrk1LSwsODhaLxQzDyOXyyMjILVu2zJw5kxBy4MAB84/cObkJffbZZwaDISkp6f/9v/83duxYhULBMIxIJAoKCkpNTX3hhRf4llYmCQAAAAAAAAAAAAD3HRTKAAAAAADYZfz48XFxcfwiy7LZ2dkvvvhiYmLiG2+8cfjw4atXr3Y2IVFHwrFhLly40LEBv5KvEbl165ZWqzVpJhx45qGHHurYT0lJCT+7U2xsbEpKSsfRawghIpEoNTU1LCyMLm7evLljAdCJEyfa2tponJycHBsba7aftLS0oUOHdrzJqbmZmDlz5vz58xmG6XjTnDlz+vfvT+Pjx49bWefEcZyhK7aVTAEAAAAAAAAAAACAM2DqJQAAAAAAe61atSorKysnJ0e4kmXZ3Nzc3NxcutivX7+EhISZM2cGBQVZ6EosFo8bN66wsJAQcvLkyf/5n/8xacCPHzNr1qza2lpaN3Pz5s0xY8YImwlHoxGOUsP79NNP+TgtLc1s7QjFMMyyZcvS09MJIbW1tXfv3h08eLCwweeff04DuVz+xBNPWOgnNTWV9mOZA3Mz8fzzz1voKjExcefOnYQQrVbb0NAQGBjYZaq3b9/+4x//aLnNsGHDCCFqtbqurq7LDns5nU6n0+ncnQW4gdFoxAXS29CZ79ydhdOpGhtdti1Du8FMVSn0dO2GdnenAHDfMLS753qpr6/nxFK3bNotNBqNRqNxdxbgBgaDoTe8ugMhlmVx0HuthoYGd6cAruYJB12tVtPAaDTa3xtGlAEAAAAAsJdYLH7xxRe3bt0aHR3dWZu6urpPP/30z3/+8/r161taWiz0Nn36dBrcuXPHZKgYrVZ769YtGoeFhcXHx9M4Ly/PpJNffvmFj0NDQ01u1Wg0/HgzM2bM8PX1tZAPISQ8PFwul9P4p59+Et5UX19fX19P47lz55od+kXYj5+fn+VtOTA3E9HR0ZZ7i4iI4GNPeO8HAAAAAAAAAAAAAA6HQhkAAAAAAMcICwt7/fXX9+7d++qrr8bGxnZWMpKfn5+UlHTlypXO+omMjOTjkpIS4U18lcyYMWO8vLz4lidPnjTphB94Jjo6umMmd+7c4eNp06Z1+pB+xTAMv61r16511tWkSZO67MfsPFBOys1ETEyM5a6USiUfNzU1dblpAAAAAAAAAAAAALjvYOolAAAAAABHUiqV06dPnz59Osdxra2tlZWVly9fPnHiREVFBd/GaDT+9a9/3bVr1wMPPNCxhwceeMDb21uv1xNCcnNzx44dy9/EjxwzY8YMYcvGxsbm5ma+zkM48Aw/6ozQ3bt3+bjjeDNmDR48mE4jdf36deH6yspKPrY8qxRF5yGywIG5mRgwYIDlfry9vfmY7n8AAAAAAAAAAAAA6GFQKAMAAAAA4BQMw/j5+fn5+Y0aNWrevHlVVVUffvjh+fPn+QZvvfXW5s2bzd5x6tSpdJCYkydPJicn8zfx48RERUWZtLx69erkyZPprTdv3uTvIhyfhldeXs7Hy5cvF4lEhBCO4+hfPiCEGI1GGrAsS9u3trZyHMcwDF28d+8e35VCoehyt/Tr189yAwfmZkIqlXaZXnf169dv5cqVltvk5OQQQry8vHx8fByeQI+h0+kMBoNEInHGYQLPpNfr29vbacwwjDVPINAzsCxLJxbsDc+K7K+TA7qASIxxo3sjscjSrJcAICQSiwnrhu0qFAoikblhwy6n1WpZlvXy8hL+AgF6Nvo+jsYikUjuwlc+4F7t7e16vR7v43oVg8Gg0+n4RYVC0dnnb9DDcBynVquJhx10h2SCQhkAAAAAAFcYMGBARkbGnj17Dhw4QNfcunWrsrJy0KBBHRtPmTKFlr80Nzc3NTX5+/sTQlpaWurr6wkhEolk4MCBJi1/+uknvlAmPz+fBt7e3mYHrdFoNHxMv620mXDkFVrUYlmXZRAOzM0F/Pz8FixYYLnN999/Twjx8vLCh4YWsCxrMBjEYjH2Uu9hNBqFhTI49L2HXq/XarW95KDrZa77ZtSa/8LQ8+C4A1hPJBK5pVBGLpf3kkKZ9vZ2lmUlEklv+BcPlMFgQKFM78QwjF6vx0HvVXQ6nbBQRiaT4YVoL2E0GmmhjCccdKPRSAOHFMrgDAYAAAAAcJ1nn302ICCAX7xy5YrZZqNGjeLjq1ev0oCfV2jKlCn8mwG+5dmzZ+nwKkQw8MzUqVPNvm2QSBxWMS/8sSD/XsUC4ZtqsxyYGwAAAAAAAAAAAACACXwGDQAAAADgOiKR6PHHH9+3bx9dvH37ttlmSqUyICCgsbGREPLvf/87Li6OEPLTTz/RW6dMmdKxpV6vr66uHjBgQHNzMx14hhBC79iRcJiZzz77zJ7JL4RdqdVqpVJpuT2fmzUd2pkbAAAAAAAAAAAAAIAJjCgDAAAAAOBSISEhfCycZsjEww8/TAM6VAzHcadPn6ZrRo8ebbblxYsXiWDgGfLfI9MI/eY3v+Hj2trabuVvIjg4mI9ramq6bH/r1i3LDRyYGwAAAAAAAAAAAACACRTKAAAAAAC4lEql4mML469MmjSJBgaDoaqqqra2lk5aFBAQ4O/vb7YlraQ5d+4cXezYkhcWFsbHBQUF3X8Q5rs6f/58l+1PnjxpfYd25gYAAAAAAAAAAAAAYAKFMgAAAAAALpWXl8fHI0aM6KxZeHg4H1+8eLGoqIjGM2bM6KxlYWGhTqfjB57p2JKnVCojIiJovH//foPB0I0H8N/69esXEBBA4y+//JJlWQuNS0pKmpubLXfowNwAAAAAAAAAAAAAAEygUAYAAAAAwHZqtfrQoUPt7e1Wtq+srMzNzeUXO5saiRAik8n4sVV+/PHHM2fO0Dg2NtZCy8OHD9OBZwghMTExFjJJSkqigUaj2bVrl5X5m7VgwQIaqNXqY8eOddaM47gdO3ZY06EDcwMAAAAAAAAAAAAAEEKhDAAAAACAXXbv3r1w4cIDBw6o1WrLLauqqlatWsUvxsXF8WOxmPXQQw/R4NKlS/n5+TQWjjTDe/jhh2mwb98+fqXZlrwxY8bEx8fTOCcnZ/fu3ZYHgyGE1NXV7d27t62tzWR9QkKCQqGg8c6dOy9cuNDxvrRKpqSkxPImHJ4bAAAAAAAAAAAAAIAQCmUAAAAAAOyl1+v37Nnz1FNPvfHGG2fOnKmoqNBqtfQmjuPUavW1a9c2b968ePHilpYWut7X1zctLc1ytxMmTDBZExYWJpPJOraMjo7mN0eDIUOGyOVyy/2npaUNHDiQxocOHXr22We//vrrqqoqvV5PVxqNxra2ttLS0mPHjq1YsSI5OTk7O9toNJr0I5FIVq9ezS+uW7cuMzOzqqqKttTr9VevXk1PTz9+/Dgh5Mknn7SclWNzAwAAAAAAnr9vcNKTHwcFjnR3IgAAAAAA7iRxdwIAAAAAAD1Hbm6ucGalzgQEBGzcuJEfhaUzgwcPNlnDjxzTZUt+NBoLpFLpli1bNmzYcOnSJUKISqXauXNnl/cya9y4cS+++GJmZiZdzMnJycnJ6dhs2bJlYWFhhw8fdmVuAAAAAAAAAAAAAAA8jCgDAAAAAGA7hUKxe/fu5OTk4OBga9rL5fIXXnjh73//e//+/btsLBaLTQaV4UeOsbmlCZlM9sYbb6xdu1apVFpuyTBMQkLCtm3bfH19zTaYPXv2W2+95ePjY/ZWiUSyZs2a3/72t9Zk5fDcAAAAAAAAAAAAAAAojCgDAAAAAGCXfv36zZ07d+7cua2trTdu3Lh+/fqdO3fu3r1bXV3d3t4uk8kGDhwYEhISHh4+bty40NBQsVhsfefx8fHnz5/nFzuOHNNZyyFDhli5CYZhYmNjP/7447Kysry8vBs3bhQXFzc1NRFCgoKCBg8ePGzYsKioqBEjRnh5eVnuasyYMZ988kleXt65c+cuXLjQ1NTk7+8/fPjw+Pj4yZMnm500ymW5AQAAAAAAAAAAAAAQQhiO49ydAwAAAAAAQI+VkpJSUFCwdOn8TERJAAAgAElEQVTS5ORkd+fiuVQqlVarlUqlGBao92hra9NoNDQWiUR9+/Z1bz7gMnq9vqWlhWGYwMBAd+fidKxG11B40zXb8paLvW2tGpWM8ndoLqYMBoNKpeIXfX19u1U3DBaoWpmGKo8eMpyWOPfp00ciwS82e4vI6FD+X/ziFateWrnGvfnwQrzbAkRqN2w44DeE8ejr1FFaWlr0er1cLu9snFHoeVpbW3U6HY0lEom/v3NfUYDn0Gq1KpVKLBYHBAS4OxdwEZ1O19rayi/27dtXJOoV/93AaDQ2NDQQzzjobW1tM2bMIITs379/6NChdvaG9ycAAAAAAAAAAACOJ5ZL+08e7e4sPADTzhil/JKE8ZeI8JmkYwQoSUAXc1S6WV0dIYQolUqM/9d7MAzDx0F9vCMH+bkxmf/mOZkAAAAAgJuh1AsAAAAAAAAAAAAAAAAAAAAAegX8egMAAAAAAADAFNduaPjy685ulU4NYR6w5Zfxl+plKoPRjrx6Dr1e397eTmOGYRSaGvfmc1/imKp7chdvM6hFb1Tp7emBZVmtVksI8fGpdlBS4On4g07J5XK3D9kNLtPW1kYIkclkmG+r92BZjo8b9fXFzVedujkxR4bWlXXrLtePt7E6vB5zPK1Wy7Ksl5eXt7e3u3MBF9HpdAaDgcYikUgud/VL0x5PLPMatfRJd2cBANAzoVAGAAAAAOD+097e/sc//tFRve3bt0+hUDiqN4CegTMYqrf/o7Nb+8UsYPUtNnT7XWVwmcqWOwJ0JBV7nT0d6OKNPtaov3ut1sUbBQCA+wgrqAmu09dcrD/v1M1JRd6/uZTTrbsUvlGvrlY5KR8AAAeS9vVFoQwAgJOgUAYAAAAA4L7Esqy7UwAAAAAAAAAAAAAAuM9gmFMAAAAAAAAAAAAAAAAAAAAA6BUwogwAAAAAwP3Hy8vryJEjFhqcOnXqvffeo/FLL72UkJDgkrwAAAAAAAAAAAAAADwaRpQBAAAAAOiBRCKR2RgAAAAAAHqt5taKT776U019sbsTAQAAAABwJ3xiDgAAAAAAAAAAAADQ83GEGI0sIZy7EwEAAAAAcCcUygAAAAAAAAAAAAAAAAAAAABAryBxdwIAAAAAAOB+tbW1Z8+evXr16rVr19ra2mQy2YgRI0aPHj1lypRBgwbZ0CHHcUVFRT/++OPFixfr6+vlcvnIkSNjYmKmTZumUCis74dl2by8vNzc3F9++aWpqSkgIGDEiBFTp06NjY319vbubkplZWUXL168cuXKzZs3GxoaJBJJSEjI8OHDJ06cGBUV1d0OAQAAAAAAAAAAAOC+g0IZAACA/8/evcdFVeePH/+cmQGGQQTkZt4wvAQounzd+oZmbVa6ma1FlvndTcsuupruftfNtuymrrub1Xd3y0viZqtFlmCalzWtNiv9tSK6EXgJLykoAirIDJe5n98fp06zCMMIM8zAvJ5/+Hifcz7z+bznnAHnDO/5fAAgqNXW1i5durSoqMh1p9VqLSgoKCgoWLduXXJy8tNPP52QkNBSD5WVlTNnzlTiRYsWpaenV1RUPPfccxUVFa4d5ufn5+fnr1ixYt68eTfeeKMnuRUVFf3hD3+or69X95w/f16p6QkLC3v66aczMjKOHTs2f/585eiKFSuuuuqqy/upr6//6KOP8vLyjEZjk6dZUlJSUlKyfft2SZJmzZo1duxYSZI8yQ0AAAAAAAAA0Bmx9BIAAAAQvIqKih588MEmVTJNnDx58pFHHtm7d29LDWRZdnxPCHH8+PEZM2a4Vsk0afzyyy/v2LGj1dy2bt26YMEC1yoZVxaL5fnnn9+9e7cQQh1dluVmG8+fP3/NmjVNqmQuT2z58uULFy50Op2t5gYAAAAAAAAA6KSYUQYAAAAIUqdOnVqwYIG6OXz48KlTpyYlJYWEhNjt9rNnz+bk5Ozbt085+uKLLy5evHj48OHu+ywuLs7NzZVlOSUlZerUqcnJyeHh4bIsX7hwITc3d+fOnUqzlStXZmZmRkdHt9TPgQMHVq9erW7efvvtEydOTExM1Gg0FovlxIkTb7zxxvHjx//v//7vnnvu8fD5JiUl3XnnnampqbGxseHh4UIIh8NRU1OTn5+/du1as9kshDh48GBOTs4DDzzgYZ8AAAAAAAAAgM6FGWUAAACAYORwOBYuXKhuPvTQQ4sXLx40aFBoaKgkSSEhIf3791+wYMHjjz+utlmyZInVanXf7fr16+12+9SpU1988cWhQ4caDAZJkjQaTUJCwuzZsx999FG15caNG1vqxGazvfjii+rm4sWLf/nLX/bq1Uur1UqSpNfrhwwZ8sorr0yYMMF9P6oRI0asWLHitddeGzt2bN++fZWsJEnS6XTx8fF33HHHW2+9lZqaqjTOzc2tqalptU8AAAAAAAAAQGfEjDIAAABAMPrnP/958eJFJR43btzdd9/dbLOxY8dWVlbm5uYKIcxm88aNG6dMmeK+5zFjxkyaNKnZQxMmTNi8efP58+eFEDt37pw+fbokSZc327lzpzK/ixBi9uzZzU5jI0nSo48++u233x46dMh9PkKI6dOnu28QFhb2/PPPT5s2zWKxCCE+/PDDVp+moqqq6i9/+Yv7NsrqURaLxWQyedJncLLb7cq/gXOWZLPFzVGH09G2blnbC97UwnpzPuVs64sfAABfkMUV/2/Y0oKtABBoZFkOnHtkV8rS206nMzDTgy80+TSjrq6u2c/00PWob5wC4aI3NDQogVc+XqNQBgAAAAhG7777rho/9NBDblpOnjx506ZNSh3Dxo0bJ0+erNG4m5ny4YcfbumQJElZWVmrVq0SQpjN5urq6tjY2MubKXU5Qohu3brdeuutbnqbMWPG3Llz3STjOYPBkJWVtX79enElhTJ1dXW7du1y32bAgAFCCIfDoVThwA2Hw6F83BYIZLfXy+l0tm2CVtnJH2bgNX55MTl5DQMAAgr/LwHo0gL5kwRZlgM5PfhUq3NOo+sJhIvu3d85LL0EAAAABJ0LFy4o07oIIcaMGWMwGNw0Dg0N/dnPfqbEVqv11KlTbhpnZGRERka6aaCucCSEqK6ubjY3deWju+++W6vVuumtf//+zZbatE1GRoYS1NTUqFPaAAAAAAAAAAC6EgplAAAAgKBTWlqqxjfccEOr7a+//no1Pn78uJuW1157rfuuoqKi1PjSpUuXN3AtxFErV9wYPXp0q2085JpbbW2tt7oFAAAAAAAAAAQOll4CAAAAgs7Zs2fVuFevXq2279mzpxqfPn3aw5bNCg0NVeNmZ+x0zS0+Pr7V3JKTk1tto5BluaysrLi4+NChQ2fPnq2oqGgyXafr6rZGozExMbHVPsPCwtLS0ty3UVat0mg0Oh33Xy1yOp1Op1OSJPdzCHUkWeduEai2r8rMEt7wHr+8mvy+JDkAAAAQPALzk4QAvIWHr8my7LpYtlar5d4weCifbQbCryPv5uD/5wMAAACgg507d06Nu3fv3mr7iIgINXYtZLlcWFhYexITQlRWVqqx+zWhFB4uvbR///5Vq1ZVVVV5mIaHy+727t173bp17tvMmDFDCKHX66Ojoz0cPQjV1dWZzebQ0FD3S3d1JGej+VzLR3Vat3U0LeNjRHiTPz6X5DUMAAgobfgrHX/YA9BZSJIUmJ8kmM3muro6jUYTmOnBFywWi8lkUjejoqI0GhauCQpOp7O6uloI0b17d79f9JCQECXwSiYUygAAAABBx2azqbEnlfiu9x5NZmHxOtcKFU/ueTwpzcnOzt62bVu70gIAAAAAAAAAdAkUygAAAABBR62+F0K4zpvaEtc1ido/Z4x7rrk5nc5Wpy5odeqX3bt3q1UyGo1mwoQJmZmZvXr1ioiI0Ol0kiSp3ygtLy+fOXNmO3IHAAAAAAAAAAQ6CmUAAACAoJOYmKjGJpPJdWWlZtXX16txr169fJWWEOI/c2tsbHStm2nWxYsX3Rx1OByrVq1S4u7du7/22msxMTFuGl9JpgAAAAAAAACAzofFwwAAAICg06dPHzUuLy9vtX1lZaUaJyUl+SSn7/Xu3VuNz58/32r7U6dOuTlaXl6uVvnMnTvXTZWM+M+nCQAAAAAAAADokiiUAQAAAIJOv3791PjLL79stX1+fr4aDxgwwCc5fc+1EOerr75qtf3nn3/u5uiZM2fUOCUlxX1XBw4caHU4AAAAAAAAAECnRqEMAAAAEHTi4+Pj4uKUeNeuXWaz2U1jm822ZcsWJQ4NDU1OTvZ1bpGRkUq8adMmp9PppnFZWZn7WWcsFosaa7Va9y137tx5JZkCAAAAAAAAADofCmUAAACAYDR58mQlkGX5nXfecdNy06ZNarnJxIkTNRrf3kRIknTvvfcqsdFo/Oyzz1pqKctydna2+97UeiAhRGlpqZuWa9assdvtV5IpAAAAAAAAAKDzoVAGAAAACEa33nprTEyMEm/evLmlyVQ+//zzt99+W4nDwsLUEhafGj9+fGhoqBL/+c9/PnLkyOVtZFlet25dYWGh+65cF3JatmxZs6Uwsiy/9957O3bsaEfKAAAAQCcQHdl76sR1CbHX+DsRAAAAwJ8olAEAAACCkVarffbZZ9XN5cuXL1my5PTp00opicPhOHPmzCuvvPLyyy+rbX73u9/p9foOyC00NHTevHnq5pNPPrlmzZqqqiplGSar1VpSUvL0009v3LhRCDFx4kQ3XUVGRo4aNUqJy8rKZs+eXVhYqC411dDQUFhYOG/evJycHCHEpEmTfPSMAAAAAAAAAAABQufvBAAAAAD4x8CBAxcuXLhw4UKlAGXfvn379u1rqfFvfvObESNGdFhumZmZU6dOXbdunbK5efPmzZs3X95szpw5SUlJH3zwgbIpSVKzbQoLC+vq6oQQ586dcy0PcjV79uzhw4fn5eV55wkAAAAAAAAAAAISM8oAAAAAwSsjI+PNN99MSUlx06Zfv37Z2dk/+clPOiqp70yaNOn5559vaQ4brVb79NNP33bbbUqVj0Kna+abAAaDYeXKlYMHD25pIL1e/8ILL4wbN679OQMAAAAAAAAAAhwzygAAAABBLSYmZunSpVVVVXv27Dl8+PCRI0fq6uoMBsM111yTlpY2cuTIPn36+Cu3ESNGvPPOO//617/y8/MLCwsvXboUHR09aNCgUaNGZWZmKjU0tbW1avuIiIhm+4mKinrppZeOHTu2e/fu4uLisrIyIURCQkJaWlpmZmZGRkZISEjHPCN0IpJWEzPxpy0dDdP2Frq2/GhkxHa7OjKxHXl1HTabzeFwKLEkSWFhYf7NpzPSCM1VGd06eNCra6yD+8e0pwen02m1WoUQHbOcHwKBetEVoaGhGg1f3gsWypKXXPSg8t4Oyf7d//AiKiRmQPdBPh1OJyTp6puv6CEDfmG0Ndh9lE8ws1qtTqdTq9VyexU8eEvva7oI3jADgK9QKAMAAAB0QTfeeOONN97oefuEhISsrKysrKw2jNWzZ88tW7Z42DgyMtLzxkIInU53ww033HDDDS01OHPmjBqHh4e31EySpMGDB7uZV0Zc4RNBlyeFhl71m5le73Z8P6932VnV19c3NjYqsUaj6dGjh3/z6awG+juBK2e1Wo1GoyRJsbGx/s4FHcRms7kWtkZHRzc7CRy6pAsXLgghoqKi+MN58Jg1TyO+L41LCOuZEXedz4eMu/aKmv/4Rz7KI9gZjUar1RoeHt7SFxjQ9ZhMJovFosQ6nS46Otq/+QAA4DkK+QEAAAB0Yl988YUS9O/fX5Ik/yYDAAAAAAAAAAhwfHsDAAAA6EzMZvOxY8eKi4u/+eabc+fO1dTUOJ3OiIiIfv36XX311VdffXVqampiYmKrJSOVlZUzZ343W8aiRYvS09N9n7v3Xbhw4eTJk0p82223+TcZAAACjexwWmpM/s5C2Gw2q+mHNMx2iRllPKeRhFbn/n2drA3Xft9a49T68IuRNqckhHDKwiF7+pAGh00IobVZQoTTd4nBQ06ncDo79KuzVovDZLS0p4ewMG1oGL8xAAAA4GW8xQQAAAA6h3PnzuXk5Hz++eeXH7JarTU1NYWFhcpmZGTkfffdN27cOL2+xdWsZVlWlxLvpGRZXrFihbp57bVXNuM6AABdXsO5ixv63e/vLNAuP/qfH4eVfeOmgaTTXvN41HcbKddVJmmFb0pSJKHbU6EXQtjk+N3lF3wxBHytb+hVm3Z7XOXUVmb7D6/AXVu/qSjZ0J7e7vmfH/3svk5Z0w8AAIBAxtJLAAAAQKCz2WwrV66cMWNGs1UylzOZTG+88cbkyZNzcnKsVquv0/MFWZbfeOMNk6nFL8E7HI7s7OyCggJlMzMzs2fPnh2VHQAAAAAAAACgs2JGGQAAACCgmUym+fPnnz17Vt1z1VVX3XXXXampqXFxcQaDQZIkWZbNZvP58+eLi4v/8Y9/lJWVCSFkWX7vvffCwsImTZrkv/Tb7oMPPvjggw9uueWWW265JSkpqVu3bpIkORwOo9H41Vdf5eTkVFVVKS21Wq26jBQAAAAAAAAAAG5QKAMAAAAEroaGhscff7ympkbZjImJefLJJ9PS0po0kyTJYDAkJSUlJSXdcccdZWVlr7/+elFRUYfn632ffPLJJ5984qaBTqdbunRpTExMh6UEAAAAAAAAAOi8WHoJAAAACFCyLL/wwgtqlczgwYOzs7Mvr5K5XN++fZcsWfLss8+Gh4f7OEc/y8jIWLt27cCBA/2dCAAAABDQak6dfeGGsXWniv2dCAAAAOB/zCgDAAAABKhPPvnk6NGjShwXF/eHP/whNDTU84dfe+21b775ZnFxp/woXJKk995779tvvz1y5Mjx48fPnDlTXV1tMpl0Ol1cXFxKSkpKSkpmZiYTyQAAAAAekWWH3S5k2d95AAAAAP5HoQwAAAAQiGw22+uvv65uPvXUU1dUJaMwGAzXXXedV/PqOOHh4WlpaZ7MoAMAAAAAAAAAgIcolAEAAAAC0Zdffmm1WpU4JSVl0KBBHTCoLMvFxcWff/75119/ffHixfDw8Guuuebaa68dPXq0wWDwsIfS0tKvv/768OHDJ06cqK6u1ul0ffr0GTRo0IgRI4YNG9aGcp/Azw0AAAAAAAAA0FlQKAMAAAAEos2bN6vxpEmTOmDEioqK5557rqKiQt1jtVrz8/Pz8/NXrFgxb968G2+80c3D6+vrP/roo7y8PKPR6LrfarWWlJSUlJRs375dkqRZs2aNHTtWkiQ3XVVWVs6cOVOJFy1alJ6eHji5AQAAAAAAAAA6NQplAAAAgIBjsViOHz+ubg4ZMsTXIx4/fnzevHmyLDd7VJbll19+ub6+/vbbb2+ph/nz55eVlbkfRZbl5cuXf/nll88995xGo3HTzOFwBGZuAAAAAAAAAIBOjUIZAAAAIOCcPXtWjWNjYyMiInw6XHFxcW5urizLKSkpU6dOTU5ODg8Pl2X5woULubm5O3fuVJqtXLkyMzMzOjraTVdJSUl33nlnampqbGxseHi4EMLhcNTU1OTn569du9ZsNgshDh48mJOT88ADD3T23AAAAAAAAAAAnQ5flAQAAAACTnl5uRoPGDDA18OtX7/ebrdPnTr1xRdfHDp0qMFgkCRJo9EkJCTMnj370UcfVVtu3LixpU5GjBixYsWK1157bezYsX379lU6kSRJp9PFx8ffcccdb731VmpqqtI4Nze3pqams+cGAAAAAAAAAOh0mFEGAAAACDjnz59X4379+nXAiGPGjJk0aVKzhyZMmLB582YlpZ07d06fPl2SpMubTZ8+3f0QYWFhzz///LRp0ywWixDiww8/nDJlSmfPraGh4auvvnLfxmazCSEcDofVavWkz+CkLLbldDo5S8HDdYU1WZa59MHDbrcLLnpHUf4PQqcmO5tffbL5xrJTCK3vkvlulCtJCWgn3kV3Ik6nU3DJgoxy0RW8uwsqvKUPQspFV9lstmY/gkPXI8vfvfkPhIuu/s5Rs2oPCmUAAACAgFNbW6vGMTExHTDiww8/3NIhSZKysrJWrVolhDCbzdXV1bGxsW0bxWAwZGVlrV+/XlxJMUog51ZRUTF37lz3bZQ5gSwWi9FobFtuwcNms/E33eAkyzI/IEGIi94BGk0mf6eA9rI77K03+p7D7hAixEeZqB9GO64kJaCdeBfd6VitVv5wHpwcDgc/rcHG6XRy0YOWiRuN4BMIF72hoUEJKJQBAAAAuibXWgGdrpU37Uajcdq0aW4aLFmyJC0tzU2DjIyMyMhINw3UZYmEEO0pRlHGUopRampqzGazXq9vtX3A5gYAAAAAAAAA6HQolAEAAAACTkjID18FbjK1abNcVzC5XKsl9tdee637BlFRUWp86dKlVvPxsKva2tpWi1ECOTcAAAAAAAAAQKdDoQwAAAAQcLp3767G7Sz+8ETPnj3dNwgNDVVj99Noy7JcVlZWXFx86NChs2fPVlRUWCwW1wauS5gbjcbExMTOmxsAAAAAAAAAoNOhUAYAAAAIOPHx8WpcWlrqvnH37t23bNnSZOfmzZvXrFnj4XBhYWFXlF5L9u/fv2rVqqqqKg/be7J0fSDnJoTo06dPbm6u+zZLliwRQuj1+piYGA9HD0INDQ0WiyU0NDQiIsLfuaCDNDY2ms1mJdZoNK5TOqFrs9lsdXV1kiRFR0f7O5euL7S+9XnpEOBcJxpsVatLdraHJEkdMArQBO+iO5G6ujqbzabX68PDw/2dCzpIfX29eu+s1Wpdv/ODrs1isTQ0NHDRg4rVaq2vr1c3o6KiNBqNH/NBh3E6nbW1tSIwLrr6hUn13qQ9uKsBAAAAAk6vXr3U+OTJk23oQavVei8dj2RnZ2/btq2DB/WQ73ILDQ29+uqr3bdRroVGo+n4i9KJKPe3kiRxloJHkw81uPTBQ10ukIveATjJQccbnxcHyiiAEIJ30Z0Kb+mDkOtbei59UFH/WM5FDx5NKiS0Wq3faybQMdRf9YFw0dXfORTKAAAAAF1T79691fj8+fMNDQ0Gg8GP+bRq9+7daiWKRqOZMGFCZmZmr169IiIidDqdJEnq3Ut5efnMmTPJDQAAAAAAAADgFxTKAAAAAAFHr9cnJyerc8kcPnz4xz/+sX9TcsPhcKxatUqJu3fv/tprr7mZHV2dSKBjBHJuAAAAAAAAAICOx5xIAAAAQCCaOHGiGufm5voxk1aVl5erqxTPnTvXTSWKEKKysrJDkvpOIOcGAAAAAAAAAOh4FMoAAAAAgWjUqFE63XcTQB45cqSkpMS/+bhx5swZNU5JSXHf+MCBAz5O5z8Ecm4AAAAAAAAAgI5HoQwAAAAQiEJDQx977DF1c+nSpVar1Y/5uGGxWNRYq9W6b7lz507fZ/QfI6pxoOUGAAAAAAAAAOh4FMoAAAAAAWrcuHEDBw5U4qqqqueffz4wa2Xi4uLUuLS01E3LNWvW2O1232f0g0DODQAAAAAAAADQ8SiUAQAAAAKUJEmLFi3q3r27snno0KGZM2ceO3as1QdaLJbi4mIfZ/eDpKQkNV62bFmz5SayLL/33ns7duzosKwUgZwbAAAA0GFiru6z+F//7HZ1ur8TAQAAAPyPQhkAAAAgcHXr1m358uU9e/ZUNi9cuDBv3rzHH3/8448/Lisra2xslGVZOWSz2Wpra4uKipYvX37fffd9+eWXHZZkZGTkqFGjlLisrGz27NmFhYVms1nZ09DQUFhYOG/evJycHCHEpEmTOiyxAM8NAAAAAAAAANDxdP5OAAAAAIA7UVFRy5Yte/311z/++GNlT2lp6auvvurJY2NiYh577LG0tDRfJiiEEHPmzCksLKyrqxNCnDt37tlnn2222ezZs4cPH56Xl+frfDpLbgAAAAAAAACADsaMMgAAAECgCw0NnTt37vLlyzMzMz18yJAhQ5YsWfL3v/991KhRkiT5ND0hhMFgWLly5eDBg1tqoNfrX3jhhXHjxvk6k8sFcm4AAAAAAAAAgA7GjDIAAABA59C3b9+nnnqqsbGxpKTk66+/LikpOXfu3MWLF51OZ3h4eK9evfr379+nT59BgwYNGDDAYDB0cHpRUVEvvfTSsWPHdu/eXVxcXFZWJoRISEhIS0vLzMzMyMgICQnp4JQ6RW4AAPiOJEm6CL2/sxBCCHWxSCFEB5TwdiWaEJ1G7+4iSiFaoQ37fkOjkXSy7PRFJpKk00k6IYRTaMK0nn6qrFx6LnqA0Gqk8BCff3XW9WJrdZowfbv+BqHV8V1fAAAAeJ/kepsKAAAAAPCuGTNmHDhwYNasWdOnT/d3LoGrrq7ObDaHhYVFRkb6Oxd0kPr6+sbGRiXWaDQ9evTwbz7oMFar1Wg0SpIUGxvr71zQQWw2W21trboZHR2t0/HlvWBx4cIFIURUVBR1ycEjIiKioaFBiZ955pnFixf7Nx90GKPRaLVaw8PDIyIi/J0LOojJZLJYLEqs0+mio6P9mw86jNlsrqur02q1MTEx/s4FHcRisZhMJnWzR48eGg3FrEHB6XRWV1eLwLjo9fX1N910kxBiw4YNycnJ7eyNVzAAAAAAAAAAAAAAAACCAt/eAAAAAPADs9k8ZcoUJZ4zZ86YMWP8mw8AAAAAAAAAAF5EoQwAAAAQWKZMmWI2m6/0UfHx8dnZ2V5JwOFwKIHT6fRKhwAAAFfk7OL/c5jqvNtn7NAobUOlEELbt5cuxuaFHnVhon9icwekmii9EOJojcEpgn3Ve6vVKoQIsYVIkuTvXNAMi9NwuLrRILoVHvHa2lhWxw8v+8ZzF73VLQAAAOBFFMoAAAAAgcXhcKilKlf0KF8kAwAA0PHqDxbZq2u822eP2P6Os8VCCCnsR7K12gs9hkZIiQ3NHrF0ixRCVDREUijzHbu/E0AL7M644pqLvfUJe09qvNWnU/7hZW9vsHirWwAAAMCLKJQBACUFShMAACAASURBVAAAcGWMRuO0adOU+Iknnhg5cqR/8wEAAAAAAAAAwEMUygAAAACBa9OmTVqt1t9ZNEOdwEaW+Z40AAAAAAAAAKDToFAGAAAACFySJHXwiHq9fsuWLR08KAAAAAAAAAAAHcNrK48CAAAAAAAAAIAAdOb42fuvmXa04Bt/JwIAAAD4H4UyAAAAAAAAAAB0ZbIsO+wO1k0FAAAABEsvAQAAAMHG4XAUFRXt3bv38OHDVVVVdrs9LS1tyZIlgZyGw+E4dOjQv//978OHD5eWltrt9tjY2PT09B/96EfXXnttaGioJyPKslxaWvr1118fPnz4xIkT1dXVOp2uT58+gwYNGjFixLBhwzzsBwAAAAAAAADQeVEoAwAAAHRZlZWVM2fOVOJFixalp6eXlJQsWrTIaDS6NrPZbGpsNpunTJmixHPmzBkzZoxry1mzZp07d052+SLq0qVLNZpmJqrMzc3V6XRtTkMly/KHH364Zs0ai8Xiur+8vLy8vHznzp1arfaxxx776U9/KklSS+ehvr7+o48+ysvLazKi1WotKSkpKSnZvn27JEmzZs0aO3asm34AAAAAAAAAAJ0dhTIAAABAlyXLssPhUDcLCgoWLVrU6qPUhzidzssPuXZ4+RBeTEMI0dDQ8Nxzz5WUlLjPduXKlfv371+wYIFWq222zfz588vKylpNcvny5V9++eVzzz3XbOkPAAAAAAAAAKALoFAGAAAACAoHDhzYtGmTEGLgwIEPPvjgwIEDw8PDZVmuqqrau3dvAKZhsVh+9atfVVZWKpvx8fHTpk0bNmxY9+7dJUmyWCwlJSWrV68+ffq0EKKgoOCVV16ZP3++m6GTkpLuvPPO1NTU2NjY8PBwIYTD4aipqcnPz1+7dq3ZbBZCHDx4MCcn54EHHvDR0wcAAAAAAAAA+BeFMgAAAEBQeP/994UQd91110MPPaSuLiRJUs+ePe+55x4PO1m1apUQ4tKlS1OnTlX2PPHEE6NHj/ZFGq+++qpaJTN+/PhHH33UdcIYvV4/bNiwv/71rytWrNi1a5cQYs+ePbfffnt6evrlg44YMeKpp57q06dPk/06nS4+Pv6OO+649dZbn3vuuSNHjgghcnNzJ0yYEBMT4/mTAgAAAAAAAAB0FhTKAAAAAIErKytLrSZxb8WKFVdddZX7NsOHD3ctT2kz15WJ2rBKkSdpHD9+/IsvvlDi6667bsaMGc2212g0s2fPLikpOXXqlBDiL3/5y9/+9rfLW06fPt19SmFhYc8///y0adMsFosQ4sMPP5wyZYrHTwgAAAAAAAAA0GlQKAMAAAAELqfT6WFLWZZbbTNz5sz2V8m0nydpvPPOO2r8q1/9yk17SZLmzJkzb948IcT58+fPnDnTt2/fNmRlMBiysrLWr18vrqRQ5vTp0w8//LD7NnFxcUKIxsbG6urqNiQWJJQXsNVq5SwFD9ffWk6nk0sfhLjoQctoNLbaxvO3QJ6z2+0hQgghHHZHiDc6lGXZ/++rgPax2+1CCIfdLkSoL/p32B38tg8eyrs7s9msfP0AwcD1Lb3dbufnPXgol577uKDS5IPHS5cu+SsT+EsgXPSGhgYl8MoNI4UyAAAAQFBISEjo3bu3v7PwKI3GxsaCggIlvummmyIjI923HzhwYHh4eGNjoxDiyy+/bFuhjBAiIyNDKZSpqakxm816vb7VhzgcjlbvEmNjY4UQsiz74m9+XYwsy56UfKFL4gck2PDzHsz89fOuvuR47QFN+PRngv/igw3/xQczft6DDT/vwYyf9yAUCBfduzlQKAMAAAAErk2bNmm1Wq90NXr0aK/0006epKGso+R5e0mS0tPT8/PzhRBHjx5tc25RUVFqXFtb60mhDAAAAAAAAACgc6FQBgAAAAhcXlwpqc3zrHiXJ2mcOXNGjfv16+dht0qhzDfffNNSG1mWy8rKiouLDx06dPbs2YqKiiZTgrt+KcFoNCYmJnoyNAAAAAAAAACgE6FQBgAAAAgKMTEx/k5BCM/SKCsrU+O5c+dqNBrx/SoJ6ry+6nrYSuBwOJT2JpNJluXLC4z279+/atWqqqoqD/O0Wq2eNIuOjn7wwQfdt1EqeHQ6XXh4uIejByGr1epwOLRabWhoqL9zQQex2Wx2u12JJUliDqfg4XA4lN+x/FYMHk6n07U4NSwsTPnP3Q0v1gqrNBrt90Ero3vM+0kCHUzSSEIIjcZXL2ZJI/HbPnhYLBan06nT6UJCQvydCzqIch+nxBqNJiwszL/5oMPY7XabzcZ9XFBR7+MUer3eF+/YEYBkWTabzSIwLrp3l3ujUAYAAAAICjpdQLz59ySNxsZGNVbuxNopOzt727Zt7e/ncj169Hj88cfdt5kxY4YQIjQ0NCIiwhc5dA2yLDscDp1Ox1kKHvX19a6FMlz64GG1Wq1WKxc9qNhsNtdCmfDw8FbfD/jiE1it9rv6GI3WO4Uy/v6UGPACrUYrhNB4abHXy2k0Gn7bBw/lb6ghISFc9ODhdDpdC2W49MHDbDbbbDYuelCxWCyuhTIGg8F71ecIaE6nU/l4NqAuulcyCYjPygEAAABA5d2ant27d6tVMhqNZsKECZmZmb169YqIiNDpdJIkqX+KKy8vnzlzpheHBgAAAAAAAAAEGgplAAAAAASWxMRENV6/fn17vp/kcDhWrVqlxN27d3/ttdfcrP2kfhMOAAAAAAAAANBVBcr0OAAAAACguPrqq9X4/Pnz7emqvLy8vr5eiefOneumSkYIUVlZ2Z6xAAAAAAAAAACBj0IZAAAAAG0ny7LX++zfv78aHzhwoD1dnTlzRo1TUlLcN27nWAAAAAAAAACAwEehDAAAAIAro9H8cB9ht9u93n9UVFRqaqoSb9iwoT1DWCwWNdZqte5b7ty5s80DAQAAAAAAAAA6BQplAAAAAFwZvV6vxu1cGqklU6dOVYLGxsbVq1e3uZ+4uDg1Li0tddNyzZo1vij6AQAAAAAAAAAEFAplAAAAAFwZnU4XERGhxPv37/fFEEOGDLnhhhuUeMeOHWvWrHE4HO4fcuHChbfeequ+vt51Z1JSkhovW7as2VIYWZbfe++9HTt2tDtrAAAAAAAAAECgo1AGAAAAwBUbM2aMEhw9enTr1q0mk0mWZe8O8atf/eqqq65S4s2bNz/wwAPbt2+vqKiwWq3KTqfTWV9ff/r06Q8//PDXv/719OnTc3NznU6nayeRkZGjRo1S4rKystmzZxcWFprNZmVPQ0NDYWHhvHnzcnJyhBCTJk3y7lMAAAAAAkTfQX1yT7ydeu01/k4EAAAA8D+dvxMAAAAA0KKsrCxJkjxs/PrrrycmJvo0H9Vdd921detWJV69erWyOpJGo1Gzzc3N1enadbsRFhb217/+dfHixUVFRUKIurq6VatWtaGfOXPmFBYW1tXVCSHOnTv37LPPNtts9uzZw4cPz8vLa0/OAAAAAAAAAIAAx4wyAAAAQOByOp0Oj3l9Thc34uPjn3zyySZFPK7ZemUUvV7/+9///plnnomKinLfUpKksWPHvvbaa5GRkU0OGQyGlStXDh482M0oL7zwwrhx47yQMQAAAAAAAAAgsDGjDAAAAIC2GDVq1Lvvvvuvf/1r//79p06dqqiosNvtXh9FkqTrrrtu3bp1paWl+/fvP3bsWElJyaVLl4QQCQkJffv2HTBgwLBhwwYPHhwSEtJSJ1FRUS+99NKxY8d2795dXFxcVlamPDwtLS0zMzMjI8PNYwEAAAAAAAAAXQmFMgAAAEBg2bBhg7e66tmz55YtW67oIXq93vOHhIeH33zzzTfffLPX02hCkqSkpKSkpKT29DB48GA388oIb+QJAAC8oteTj8s2m3f7DO0uaSWbEELoQ6Vu3vhQVNJIURHNHokJ0wkh/juRj16F0WgUQkRERGi1Wn/ngmbYZOmaGFm260bf7bWX6/iFGvP3cXhijLe6BQAAALyIuzUAAAAAAAAAAaTb9SP8nUK76IUQQvRuvoomuIQ1XhBCRIVHMYFfwOrfTQghRKLXOtS4rM6q6xbutX4BAAAA79H4OwEAAAAAAAAAAAAAAACgIzCjDAAAAND1NTQ0HD58uLi4+JtvvqmsrLx06VJISEhsbOygQYOSk5OHDh169dVXazSU0QMAgPYq//ig5UKt6x6Hw9HQ0KBuXjIYgmoVnh7xIZKQfTpESEyoPqHFo1J0lC00xK51l4PVoSmp9clFMZlMQgiD3RhUF70Tke26mkte/huBQ/7hxWayGcvqTl9pD91rTFGJA0Wo3qt5AQAAAD+gUAYAAAAdasqUKWbzd2vWb9y4keIMXysrK1u7dm1+fn6T/Xa7/cyZM2fOnPn000+FEGFhYZMnT54wYYJez+fRAACg7f79wt+r/t8hf2cRQK4fEyPb7D4dIvHu9LCksy0e/tGwhoSkBnuVmx5qLVF/O+r0fmYIeL3DEj741Mt3ZDbHD4UyFZaz+6r2XGkPQ8rN3SPipR7cmAAAAMBXKJQBAABAh3I4HA6Hw99ZBAWbzbZy5cqPP/7Yk8YWi2XdunU5OTmPPPLI+PHjJUnydXoAAAAAAAAAAHQ8CmUAAACALshkMj3xxBPl5eXqnp49e95///2DBw+Oi4sLCwsTQtjt9tra2uPHj+/ataugoEAI4XA4Vq1a1b9//yFDhvgt9Q5kNBqnTZumxE888cTIkSP9mw8AAAAAAAAAwNcolAEAAAC6msbGxrlz5168eFHZNBgMzzzzzJAhQ5rMExMSEhIXFxcXF3f99dfX1NT87W9/++KLL/yRrz+p8xvJsuy+JQAAAAAAAACgC/Dy+qMAAAAA/EuW5d///vdqlUxycvKaNWuGDh3qfjWlmJiYJ554YuHChaGhoR2SJgAAAIAOUnPq7N/GTK34+ht/JwIAAAAEBAplAAAAgC7l888/LyoqUuLu3bv/6U9/MhgMHj42IyNj9erVERERPssOAAAAQIeTZafd4e8kAAAAgEDB0ksAAABA12G325cvX65uzp8/X6/XX1EPMTExMTEx3s4LAAAAAAAAAICAQKEMAAAAgsX58+f37t175MiRo0eP1tfX6/X6wYMHp6WljRw5slevXm3r0+FwFBUV7d279/Dhw1VVVXa7PS0tbcmSJd7N3HP79u0zm81K3L9///T0dF+M4pUzKctyaWnp119/ffjw4RMnTlRXV+t0uj59+gwaNGjEiBHDhg27okWgqqqqDhw48NVXX50+ffrChQsajSY+Pj45OXno0KEZGRkJCQlteqIAAAAAAAAAgK6GQhkAAAAEim3btr3xxhtKvGzZst69e7f6EIfD8fOf/9xisQghBg8e/OKLLzbbrLa2dunSpeqCRAqr1VpQUFBQULBu3brk5OSnn37afTlFZWXlzJkzlXjRokXp6eklJSWLFi0yGo2uzWw2mxBix44d2dnZyp5XX321b9++V/RcUlJS/vjHP7b6kMt98MEHanz//fdLktSGTtzwypmsr6//6KOP8vLympw6q9VaUlJSUlKyfft2SZJmzZo1duzYVp+CyWT685//XFBQ0GR/WVlZWVnZZ599JoRITU195JFHBg0apB6dNWvWuXPnZFlW9yxdulSjaWZp2tzcXJ2O+yYAAAAAAAAA6CKa+SAYAAAA8IvRo0c7vrdz505PHnL48OGGhgblIffcc0+zbYqKih588MEmtR1NnDx58pFHHtm7d6+bNrIsq+kJIQoKCn772982KfVQ3XTTTWrjLVu2ePJcDh48qD6Xe++915OHNGG1Wo8ePapuen06GW+dyfnz569Zs6alU6eQZXn58uULFy50Op1umtXW1j766KOXV8k0ceTIkXnz5jU2Nqp7lPPs2rnr9XXlvmcAAAAAAAAAQOfCNyMBAAAQKKKiotLT05U6jG3btk2bNk2r1bp/yKZNm5RAo9FkZGRc3uDUqVMLFixQN4cPHz516tSkpKSQkBC73X727NmcnJx9+/YpR1988cXFixcPHz681VQPHDigDD1w4MAHH3xw4MCB4eHhsixXVVUpNSIGg+Hmm2/+9NNPhRA7d+58+OGH9Xq9+z5zcnKUICwszJMcLldeXq7GMTExkZGRbeikJV4/k0lJSXfeeWdqampsbGx4eLgQwuFw1NTU5Ofnr127VllA6uDBgzk5OQ888EBLnSxcuLChoUGJMzMzs7KyevfubTAYJElyOp11dXXKpDIe1l0BAAAAAAAAALo8CmUAAAAQQO655x6lUMZut3/99dfN1r6oTCaTOpXIT3/605CQkCYNHA7HwoUL1c2HHnro7rvvVjdDQkL69++/YMGCXbt2LVu2TNm5ZMmSt99+OzQ01H2e77//vhDirrvueuihh9S1gSRJ6tmzpzqxTVZWllIoI4TYs2fPrbfe6qbDioqKkydPqg9stUKoWWfOnFHjAQMGtKGHlnj3TI4YMeKpp57q06dPk/06nS4+Pv6OO+649dZbn3vuuSNHjgghcnNzJ0yYEBMTc3k/Z8+ePX78uBL/z//8z/333+96VKvVRkVFRUVFDR06dPr06U3m9Vm1apUQ4tKlS1OnTlX2PPHEE6NHj/bodAAAAAAAAAAAOi0KZQAAABBAhg8frtVqlfVu3n//ffeFMq7r+9x+++2XN/jnP/958eJFJR43bpxrbYersWPHVlZW5ubmCiHMZvPGjRunTJniSaquVTKXS0pK6t2799mzZ4UQ69evv+WWW9w03r59uxrfdtttrY7erPPnz6txv3792tZJs7x7JqdPn+5+uLCwsOeff37atGkWi0UI8eGHHzbbz7Fjx9S4pYW3FOHh4ZMnT758v0ajaTb23MWLF9euXeu+jTLnjdVqra+vb8MQQcJutyv/cpaCh81mU2NZlrn0wUNd1Y6L3lWxcGHHc3/OZVl2OJzuPwZ2yu4Wu0QX5nQ6hWjL22CfcjgcDQ0NIoz/JjoZ5XeRzWbjv/jgodzHKZxOJ5c+eCiXnoseVJq84WxoaHDzOSe6ElmWlSAQLro6s7jT6YX7FwplAAAAEEC0Wu2dd965efNmIURhYaHRaOzevXuzLWVZVgoyhBBxcXHN1oW8++67avzQQw+5GXfy5MmbNm1S7vM3btw4efLkVssmZs6c2eq9wS9+8YsXX3xRCHH+/Plvv/02OTm52WZWq3Xr1q1KnJKSEhcX577bltTW1qpxbGxs2zpplk/PZLMMBkNWVtb69etFy4Uyau2OXq+/fD6hjlFbW/vOO++4b6PM7mO32xsbGzskqU7M4XBwloKTLMtc+mDDRe/CvPKRZVeifrLsO62ec6ezleolWZaF4E8dwSgwf2CdTqfZbJb5b6JzstvtrsUTCB5Op5N3d8GGt/TBTFkzHUElEC66d3/nBFy1OAAAAILcuHHj1PiLL75oqdmZM2fUCVTuu+++y2tWLly4oDYYM2aMwWBwM2hoaOjPfvYzJbZaradOnXKfZEJCQu/evd23EUJcd9116iJKympNzdq3b5/6CXWT9YOuiOv0DDqd12rifXom3VDnE6qpqWn2TiwyMlIJzGYz32ECAAAAAAAAAHiCQhkAAAAElt69e1911VVKvGHDhpa+g/uPf/xDjW+44YbLG5SWlrpv0MT111+vxsePH3ffePTo0a12KIQICQlRVyn6/PPP1ckhm1CnJAkLCxs+fLgnPbc0nBp78Tt8Pj2TbkRFRamx62Q5qkGDBqnxn/70p5ZOLwAAAAAAAAAAKpZeAgAAQMCZPHnyX/7yFyFETU3N6dOn+/fv36SBzWbbsWOHEv/4xz/u1q3b5Z2cPXtWjXv16tXqoD179lTj06dPu2/ct2/fVjtUjB8/Pi8vT4l37949fvz4Jg3KysrUVLOystQZaNrAdZmqmpqaNvfThI/OpCzLZWVlxcXFhw4dOnv2bEVFhcVicW3gOg+80WhMTExs0kP//v179+6tpFdYWHj//fffcMMNt99++4ABA9xPe+NFOp0uPj7efRtl8SlJktq2ClWQkGVZlmVJkvy+2jE6jHLR1U1+QIKHeum56F0Vv8mbkITw9dpLrZ5ziWWV0IIA/XmVJI1GI/PfRGfDW/ogxFv6oMVb+iDEz3swUz6kDYSL7t0cKJQBAABAwHGdkmTHjh2//OUvmzQoLCxUqyjUKVuaOHfunBq7VpC0JCIiQo1dS0OaFRMT02qHiri4uPT09KKiIiHE+vXrb7/99iYfGn7wwQdqPHbsWA+7bZZrxYbrNDDt5IszuX///lWrVlVVVXmYg9VqvXynJEkLFy6cM2eOujztnj179uzZI4SIjY297rrrrr322tTUVNd8vK5fv35qzVZLZsyYIYQIDw/v0aOH7zLp7Orq6sxmc2hoqLqiFrq8+vp69YdXo9HwAxI8rFar0WiUJImL3lV5cf3HLsL3fzB2f84lSdKF6Jp5L+VCq9EK4XTbBF2TVhuIP7AhOl10dLTEfxOdjdFotFqter3ep7dgCCgmk0n9xotOp4uOjvZvPugwZrO5rq5Oq9V6/vkYOjuLxWIymdTN6OjoQCibQAdwOp3V1dUiMC56WFiYEnglE17BAAAACDgGg2HUqFFK/OGHH9pstiYNcnNzlUCv16elpTXbieujPPmDjevb6yZTm1zuiv4CdP/99ytBbW3tN99843rIbDbv2rVLiVNTU2NjYz3v9nK9e/dW4xMnTrSnK1deP5PZ2dmLFy/2vErGjYSEhDfffPPyAqOLFy/u2LFj0aJFU6ZMWbRokRfLhgAAAAAAAAAAnVogFowDAAAAEydO3Lt3rxBCluV///vf1113nXqopqbmyJEjarOW1ioKCQlRY4fD0eqIrgv9qMXpXjF06NDIyEjlWxd5eXnPPPOMekiZ/kSh1tO0meu6SBcvXjSZTF6ZnMO7Z3L37t3btm1TYo1GM2HChMzMzF69ekVEROh0OtdpusvLy2fOnNnqcAaD4fHHH58+ffpXX321d+/e/Pz8JtU5BQUFBQUFWVlZ06ZNYw5wAAAAAAAAAAhyFMoAAAAgEF1zzTURERH19fVCiA0bNrgWynz22WdqfNttt7XUQ2JiohqbTKZWJ39WxlK4Vpy0nyRJU6ZMyc7OFkLk5+cbjUZlASNZlt955x2lTVhY2LBhw9o5kF6vHzhw4PHjx5XNQ4cOuS5i1WZePJMOh2PVqlVK3L1799dee83NJL2eFOWoDAbDyJEjR44cKcvypUuXTp48+cUXX3z22WdqJ++//36/fv3GjBnjeZ8AAAAAAAAAgK6HpZcAAAAQiCRJysrKUuKSkpKamhollmU5Ly9PiZOSkhISElrqoU+fPmpcXl7e6oiVlZVqnJSU1Iac3XCtz/jkk0+U4OTJkxcuXFDirKyslqbGuSJ33323Gr/77ruyLLe/Ty+eyfLycrWMZu7cue6Xsnbtx3OSJMXExIwYMeLXv/51bm7u9OnT1UPZ2dmus90AAAAAAAAAAIIQhTIAAAAIUK7FJZ9++qkSnDhxwmg0KvF9993n5uH9+vVT4y+//LLV4fLz89V4wIABV5RqqwwGw80336zEGzZsUMo1Nm7cqDYYO3asVwa6/vrr1dWOTp48efjw4fb36cUzeebMGTVOSUlx38+BAwc8TbEFOp3urrvuUs9tQ0NDdXV1S429UlQEAAAAAAAAAAhwFMoAAAAgQMXGxg4ePFiJN27cqNQxbNu2TW3guh7T5eLj4+Pi4pR4165dZrPZTWObzbZlyxYlDg0NTU5Obk/mzVInyKmvrz906FB9ff2ePXuUPUOGDImNjfXKKCEhITNmzFA3ly5darFYrqiH2tra0tJS1z1ePJOuybifQcdisezcufOKMm/JyJEj1dhkMrke0mh+uCGy2+1eGQ4AAAAAAAAAEMgolAEAAEDguvfee5XAZDIdP37cYrH885//VPbccsst6tQpLZk8ebISyLL8zjvvuGm5adMmtYZj4sSJrvUT3pKUlNSrVy8lfvfdd9U5clzz9IpbbrlFnaylpqZmwYIF7ktbXBUVFT366KNNqkmE986kWnAjhGhSjtPEmjVrvFW54jqLTLdu3VwP6fV6NT5//rxXhgMAAAAAAAAABDIKZQAAABC4/uu//kuSJCXetm3b/v371UMTJkxo9eG33nprTEyMEm/evLmlGUo+//zzt99+W4nDwsLU6hyv+8UvfqEERUVFb7zxhhLr9fr09HQvjiJJ0gsvvBAVFaVslpSUPPzwwyUlJe4fZTKZXn311Zaqarx1JpOSktR42bJlzZbCyLL83nvv7dixw33CQogNGzYUFRU5HA43bRobG9966y0l1uv1rpU6QgidThcREaHErq8uAAAAoCuJubrPY5/n9Bx2jb8TAQAAAAIChTIAAAAIXCEhIT/96U+V+NNPP/373/+uxFFRUZ6sjqTVap999ll1c/ny5UuWLDl9+rRSn+FwOM6cOfPKK6+8/PLLapvf/e53rrOMeNd///d/q+sNqeUdWVlZ7hchagODwbBs2bLExERl02Qy/fa3v509e/YXX3xRUVFhs9nUHGpra//973+/9NJLP//5zz/++OOWOvTWmYyMjBw1apQSl5WVzZ49u7CwUC3NaWhoKCwsnDdvXk5OjhBi0qRJ7p/miRMnFixYMHny5Ozs7MLCwurqatenVlNTs3v37scee6ympkbZOXPmTLXuSjVmzBglOHr06NatW00mk7LIFwAAAAAAAACgS9L5OwEAAADAnfHjx6uTi1RVVSnBfffdd3nFQ7MGDhy4cOHChQsXOp1OIcS+ffv27dvXUuPf/OY3I0aMaHfKLQoJCbn77rvz8vJcd44dO9YXY0VFRS1fvnz58uXqGk9lZWUvvfSS+0dpNJqHHnooNTX18kPeOpNz5swpLCysq6sTQpw7d861/sbV7Nmzhw8f3uRcNctqtW7btm3btm3um40bN+7mm2++fP9dd921detWJV69evXqf4EnfAAAIABJREFU1auFEBqNRn2B5ebm6nTcNwEAAAAAAABAF8GMMgAAAAho/fr1a7JcjhDixhtv9LyHjIyMN998MyUlxf0o2dnZP/nJT9qQ4RUZP3686+aQIUN69Ojho7FCQ0P/93//99VXX83IyGi1sU6n+8UvfvHuu+9OnDhRo2n+NsErZ9JgMKxcuXLw4MEtNdDr9S+88MK4ceNazdlDkZGRTzzxxKxZs5otroqPj3/yySebHHI6nY7veSsNAAAAAAAAAEAg4JuRAAAACGiSJN13330rVqxQ96Snp0dFRV1RJzExMUuXLq2qqtqzZ8/hw4ePHDlSV1dnMBiuueaatLS0kSNH9unTx9uJNy8uLi4lJeXo0aPK5v333+/rEfv3779w4UKTyXTkyJGioqJvvvmmsrLy0qVLISEhsbGxgwYNSk5OTk9PT05O9mQFKK+cyaioqJdeeunYsWO7d+8uLi4uKysTQiQkJKSlpWVmZmZkZISEhHjy1ObPn3/+/PnS0tJTp059++23586dO3/+fGNjo9PpjIqK6tevX1paWkZGxuDBg1sq/VGMGjXq3Xff/de//rV///5Tp05VVFQoS0oBAIA26HnjMH1CtOsep9Pp+n9rSEiIh1MDdg3dhkQI2enTIXS9EqWrEls8bOgXoonRawxuerCHhv0o1iffqLRarUIInU7n/v0Y/CVcdPvJII/ee3uuSJLUV3yELrJXRN8r7aFbxCUREubdrAAAAABXkizL/s4BAAAACBayLD/wwANGo1EIodfr169f70l5Cjq1GTNmHDhwYNasWdOnT/d3LoGrrq7ObDaHhYVFRkb6Oxd0kPr6+sbGRiXWaDS+m14LgcZqtRqNRkmSYmNj/Z0LOojNZqutrVU3o6OjWdYweFy4cEEIERUV5WElNLqAiIiIhoYGJX7mmWcWL17s33zQYYxGo9VqDQ8Pj4iI8Hcu6CAmk8lisSixTqeLjo523x5dhtlsrqur02q1MTEx/s4FHcRisZhMJnWzR48elEEHCafTWV1dLQLjotfX1990001CiA0bNiQnJ7ezN17BAAAAQMf55ptvlCoZIcQ999xDlQwAAAAAAAAAAB2Jb28AAAAAHWfr1q1qfNttt3mrW7PZPGXKFCWeM2fOmDFjvNVz4Avm5w4AAAAAAAAAuFIUygAAAAD/YcqUKWaz2XXPmjVrPJ9LdsGCBYcPH3bds3Tp0kGDBgkhamtrv/jiC2Xn8OHDvbvOiMPhUAKn0+nFbjuFYH7uANBOJx543Fp+zi9DV/ll1JYl3DjQML7/jjifLRkghX98xtx6M3hVr0+jT3510d9ZAMHFanWo8Zv5Z3a99Kkfkwk0bz18LlJff/n+2K/O6c6XtfpwY2PSB9O+aE8CWUf+Hpl8VXt6AAAA6BoolAEAAAD+g8PhUAsvFJ999tldd93lyWMvXbpUVFTU0tF33nlHjR988MG2JggAgNfIdrtsd7TeLhjITiE7nbLvai5lhw87R/OcDqfDwWkHOpb8Q+iUhd0pt9w06MjCIURzv5Rkh3B68N+x7HTa7F7PCgAAIAhp/J0AAAAAEOjy8vJk2aOPd3fv3t3s/oaGho0bN+7YsUPZHDJkyIABA7yVHgAAAAAAAAAA8BAzygAAAADN02g0sizLsmw0Gk+ePNlqaYssy3l5eUocGhpqtVqVeN68eU26/e1vf+uLhAEAAAAAAAAAgHvMKAMAAAA0z2AwjB07Vom3b9/eavsTJ04YjUYhhEajGT9+fLNtJElavHhxbGysF/MMcnq9fsv3br31Vn+nAwAAAAAAAAAIaBTKAAAAAC1S610+/vhjdYaYlqjFNOPGjUtMTHQ9pNFokpKSpkyZsm7duvT0dF+kCgAAAACqWtPZt7c+VHWxxN+JAAAAAAGHpZcAAACAFvXv3z8mJqampkYIUVBQMHLkyJZaWiyWTz75RIlvv/32Q4cOqYdeeeWVQYMG+TpVAAAAAFDJQjidDiFkfycCAAAABBwKZQAAAIAWSZI0adKk1atXCyHy8vLcFMoUFBQoQUxMTFJSkmuhTKtkWS4tLf36668PHz584sSJ6upqnU7Xp0+fQYMGjRgxYtiwYaGhoe18In4czkNVVVUHDhz46quvTp8+feHCBY1GEx8fn5ycPHTo0IyMjISEhPYPEZhPHAAAAAAAAADQkSiUAQAAANy58cYblUKZ48ePX7x4MTY2ttlmubm5SnDvvfdKkuRh5/X19R999FFeXp7RaHTdb7VaS0pKSkpKtm/fLknSrFmzxo4d63m3vhtux44d2dnZSvzqq6/27du31UEdDsfPf/5zi8UihEhJSfnjH//YpIHJZPrzn/+sVhqpysrKysrKPvvsMyFEamrqI4880uzEPGazecqUKUo8Z86cMWPG+OKJAwAAAAAAAAC6Bo2/EwAAAAACWlRU1JAhQ5T4008/bbbNhQsXTp48qcSjR4/2vPP58+evWbOmSfVGE7IsL1++fOHChU6n0/OefTTcTTfd5Pjeli1bPBn04MGDDQ0NykPuvffeJkdra2sfffTRy6tkmjhy5Mi8efMaGxubPaqm1NIp6uDzDAAAAAAAAAAIWMwoAwAAALRi0qRJylJK77///j333HP5jCOffPKJEqSnp0dFRV1p/0lJSXfeeWdqampsbGx4eLgQwuFw1NTU5Ofnr1271mw2CyEOHjyYk5PzwAMPtPfJtG84g8Fw8803KwVDO3fufPjhh/V6vfvhcnJylCAsLGz48OFNji5cuLChoUGJMzMzs7KyevfubTAYJElyOp3/n707D4yqPBc//p6ZSSaZkI2EsErSQNghNyJIENGyhIJQJIBAb0XFKtSI3opyL6KyWG9dansVgQu29OeCqAkgimUpVFCpGjYjYY8IBAKEhOzJbGfO74/THueGZDJJZgvz/fz1nJl33veZ92SSOZNn3re6ulpdVGbHjh2tft6+nmcAAAAAAAAAQACiUAYAAABoQmpqql6vl2W5urr69OnTvXr1cr7X4XBs3rxZjadOndqsngcPHrxo0aJu3brVu91gMHTo0OGuu+4aM2bMc889d/z4cSFEdnb2xIkTY2NjW/xEPDJcZmamtrLOl19+OWbMGBcjXr58WVtrJzMzU6/XO9978eLFgoICNf7FL34xc+ZM53v1en10dHR0dPSAAQPmzJnj5gI2DfLxPAMAAAAAAAAAAhaFMgAAAEATDAbDhAkTPvnkEyHE1q1bn3jiCed7T548qa6Jotfrr18xxbU5c+a4bmA0GpcsWXLfffdZLBYhxPbt22fNmtW87D09XGJiYteuXS9evCiE2LBhw+jRo69fYkfz6aefavHYsWPr3Xv69Gktdl1jFB4ePmPGDNfJu+C9ebZarWfPnnXdRpZlIYTD4bDb7W6lG5TUHa+YpaBSb5szTr2/KIri7xQChaIogtm44XBKAbQJbv6yav1fbVmWvfemS02Pt/RBxflnUlEUTn3wUK/mOOlBRf10S2O323U6nb+SgS9pn94EwknXfud45KMMCmUAAACApv3sZz9TC2X27NnzyCOPOO83pK10ctddd9VbMcUjTCZTZmbmhg0bRKsLZTw13C9/+cuXXnpJCHH16tUffvghOTm5wa6sVqs6aUKIPn36xMfH12tQWlqqBmFhYSEhIZ56Ci3Tsnm+cOHCL37xC9dtevToIYQwm83l5eWtz/PGZrPZmKXg5HA4OPX+Uq9iKZjZ7Xb7//3w17OYar+wy/zzBkAAaexvgeLe3wi51X+nKisr7eVNbJ7bShaLRf36AYKNLMu8pQ82XMcFs8rKSn+nAF8LhJOufltVeKhQhlIvAAAAoGndunXr0KGDGu/fv1+7vba2dt++fWo8btw4L42elpamBmVlZWaz2UujuD/c0KFDtZKgTZs2NdbPN998o30QXG9bJVVkZKQamM3mmpqa1uTsET6eZwAAAAAAAACA71EoAwAAADRNkqTp06ercXZ2tnb7119/rQYJCQndunXz0ujR0dFaXFFR4aVR3B8uJCRkypQpavz5559rtfz1vPfee2pgNBob3JQqJSVFi1988cXG+vEZH88zAAAAAAAAAMD32HoJAAAAcMttt922atUqIcTZs2evXr2qLjDz4YcfqvdOnz5dkqSW9awoSmFhYX5+/tGjRy9evHj58uV6S1U7L9BdWVnZsWPHFj4Hzw03YcKEnJwcNd6zZ8+ECRPqNSgsLLx48aIaZ2ZmNrgpVVJSUteuXdVmeXl5M2fOHDFixPjx43v06GEymVrxFBvm43kGAAAAAAAAAAQgCmUAAAAAt0RGRt58882HDh0SQuzevXvmzJmXLl0qKipS773tttta1u3+/fvXrFlTXFzsZnur1dqygTw7XHx8/MCBA48cOSKE2LBhw/jx4+vVCW3ZskWLMzIyGuxEkqRly5bNnz+/rq5OveXLL7/88ssvhRBxcXFDhw4dMmRI3759IyIi3MzWBS/Nc+fOnVevXu26jdrAaDQ6r1iDeurq6qxWa0hIiDdqpBCYzGazVqym0+m0vdjgY2U6nezvHAKEwWDQ6xoo6/SUFhfUojUMej78BBBAdLqG1/iXGrm9nga/ftAskZGR7bx2VVJbW2uz2YxGY1hYmJeGQKBRT7oa6/X6du3a+Tcf+IzVaq2rq+M6LqjYbDbnpaAjIyMb+6OGG4yiKJWVlUKIqKgov1/VGgz/vL7zSCZcKwIAAADumjJliloo89FHH91zzz07d+5Ub7/lllta9nnQ2rVrt27d6skUfTjczJkz1UKZioqKkydP9unTR7vLbDZrk9O3b9+4uLjGOklISPjLX/6ybt06rb2qtLR027Zt27ZtE0Lccsst999/f/fu3VucqvfmOTw8fMiQIa7b/OlPfxJC6PX6kJAQb+RwY1ALJnQ6HbMUPOqVo3Hq/cXvn3MFDkmSJJ0XZ4Op9gtmHUCb4OYvq9b/KTEYDN5706Wmx1v6oOL8b3JJkjj1wUOWZcFJDzLOyzALIUJCQiiUCRLaqTcYDH4/6drvHAplAAAAAJ8aMGBAaGio1Wqtra09cODAJ598ot4+ZcqUFvS2Z88erXpDp9NNnDgxPT29S5cuERERBoNBkiTtHX9RUdG8efNambzHhxswYEBkZGRVVZUQIicn55lnntHuUleFUc2cOdN1PyaT6dFHH50zZ8633367b9++3NzcejsiHThw4MCBA5mZmffdd18LroJ8PM8AAAAAAAAAgEBGoQwAAADgLr1eP3HixE2bNgkhXnzxRbvdLoQwGo39+vVrbleyLK9Zs0aNo6KiVqxYERsb66JxS1P24nCSJM2aNWvt2rVCiNzc3MrKyqioKCGEoijvvfee2sZoNA4aNMid3kwm0/Dhw4cPH64oSnl5+ZkzZ7744ou9e/dqyWzatKl79+6jRo1ypzfn5+LLeQYAAAAAAAAABDjWRAIAAACaISMjQw3UKhkhxKRJk1qwVXxRUVFNTY0aP/bYYy6qN4QQV65caW7/vhnOuWxl9+7danDmzJmSkhI1zszMbO7kSJIUGxs7ePDg//iP/8jOzp4zZ45219q1a+st9NokH88zAAAAAAAAACDAUSgDAAAANEOXLl06d+7sfMvYsWNb0M+FCxe0uE+fPq4bHzx4sAVD+GA4k8n005/+VI0//PBDtYpl48aNWgOtrqhlDAbD3XffrXVSW1t77dq1ZvXg43kGAAAAAAAAAAQ4CmUAAACA5pk+fboWd+3atV7djJssFosWu15zxWKx7NixowVD+Ga4zMxMNaipqTl69GhNTc2XX36p3tK/f/+4uLjmJ1vf8OHDtbiqqqpZj/XxPAMAAAAAAAAAApzB3wkAAAAAbcyYMWPGjBnTyk7i4+O1+Pz583379m2s5bp167RtngJwuMTExC5duhQVFQkh3n///fT0dO2uGTNmtCjZ+pxXkWnXrl2zHuvjeQYAAAAAAAAABDhWlAEAAAD8IDExUYvfeOONBks0FEX54IMPtm3bFuDD/fKXv1SDI0eO/PnPf1bjsLCwgQMHun7ghx9+eOTIEVmWXbSpq6t75513tD6dC1/c4eN5BgAAAAAAAAAEOAplAAAAAD+IjIy87bbb1LiwsDArKysvL89sNqu31NbW5uXlLViwYP369UKIadOmBfJwt956q7arkVb1kpmZ6XqrIyHE999/v3jx4hkzZqxduzYvL+/atWs2m03rp6ysbM+ePQ8//HBZWZl647x58yRJalZuPp5nAAAAIEDERHadPfnthLje/k4EAAAACDhsvQQAAAD4x/z58/Py8qqrq4UQly5devbZZxtslpWVlZqampOTE7DDhYSETJkypd5DMjIy3Hy41WrdunXr1q1bXTcbN27cT3/6U/ez0vh4ngEAAAAAAAAAgYwVZQAAAAD/MJlMq1ev7tWrV2MNwsLCli5dOm7cuMAfbsKECc6H/fv3b9++fQv6aVBkZORTTz31yCOPNHc5GZWP5xkAAAAAAAAAEMhYUQYAAADwm+jo6FdeeeX06dN79uzJz88vLCwUQiQkJPTr1y89PT0tLS0kJKRNDBcfH9+nT58TJ06ohzNnznTnUQsXLrx69er58+fPnj37ww8/XLp06erVq3V1dQ6HIzo6unv37v369UtLS+vVq5dO16oSfx/PMwAAAAAAAAAgYEmKovg7BwAAAABtm6Io9957b2VlpRAiLCxsw4YNer3e30kFirlz5x48ePCRRx6ZM2eOv3MJXNXV1Waz2Wg0RkZG+jsX+EhNTU1dXZ0a63Q6Dy5DhWZx1JmFbz8aslqtVVVVkiQF2kmXJEUK1dslb62+rAghB+uHcDabTX2ToIqOjjYYfPTlPcUuJIdvhkLDSktLhRBRUVHUJQePuPiY2tpaNf7PRYufW7rMv/kEFGOIrBMNLJMpOWThxt8Ih02R7a36W2KICJd0LVmn0x2VlZVWqzU8PDwiIsJLQyDQVFVVWSwWNTYYDDExMf7NBz5jNpurq6v1en1sbKy/c4GPWCyWqqoq7bB9+/at/FYb2gqHw3Ht2jURGCe9pqbmjjvuEEJ8+OGHycnJreyNFWUAAAAAtNbJkye1f4BNnTqVKhkAaCt04WG+HtGgl+w2SZJ0pnAfD+0Or35SFrRlAnqHsOh+nNowfYhB76vPJHlL4m/GMIMQIiw8hEKZ4BSil0yhvA6dNTIberdeIDqD4H+SAAAAHkGhDAAAAPyjtrb22LFj+fn5J0+evHLlSnl5eUhISFxcXEpKSnJy8oABA37yk5/4vUodbvrkk0+0eOzYsb4c+vTp0wsXLlTjVatWde7c2ZejAwAAAAAAAADaFgplAAAA4GuFhYVvvfVWbm5uvdvtdvuFCxcuXLjw2WefCSGMRuOMGTMmTpwYFubrL7u3Id98882LL76oxmPGjMnKympBJ//v//2/LVu2qPETTzxx++23N+vhFRUVX3zxhRqnpqb6fisNWZbVgI1lAQA3qq/nv26vs/pyxJsGdAixVDXdzg0Oh8Nq/TF5c2homy6GDh/dUzeoheshlZrDv7wcXG9XzGazECK0pG2fdEjmqB8uutvY5vjxhzzvQNGf3/jKKzk1RRJi0IwG9hhKrKmOv1bY2t4NRmnQL1rbCQAAAPyHQhkAAAD4js1mW7169a5du9xpbLFY3n777fXr1//qV7+aMGGCJHlrJ/U2LS0tzeFwqAUiO3fufOihh0JDQ5vVgyzLH3/8sVZrMmTIkObm8N5772nx/fff39yHAwCAJhW88zdbZa0vR4x7YIhScMIbPZu90akP6W41KnZHyx5bYum474pPzyPgER0cN237zuZmY9mpUKbwbPnnuwq8k1QTJEmKmtDAJWT7Wjnu3Bet7T00gkIZAACANo1CGQAAAPhIVVXVU089VVRUpN3SqVOnmTNn9urVKz4+3mg0CiHsdntFRUVBQcHOnTsPHDgghJBlec2aNUlJSf379/db6gEsNDR07NixO3fuFEIoivLtt98OHTq0WT3k5+fb7XY1vuOOO5q1fk9tbe22bdu2bdumHvbv379Hjx7NGh0AAAAAAAAAAF+iUAYAAAC+UFdX99hjj5WWlqqHJpPpmWee6d+/f711YkJCQuLj4+Pj44cNG1ZWVvanP/1J29MHjbnrrrvUQhkhRE5OTnMLZTZv3qzFkyZNcuchf/zjH9XtsZzpdLonn3yyWUMDAAAAAAAAAOBjbA0LAAAAr1MU5be//a1WJZOcnLxu3boBAwa43k0pNjb2qaeeWrZsWXP3Ego2SUlJsbGxanzixImysjL3H1tVVXXo0CE1bteuXUpKSstykCTp+eefj4uLa9nDAQAAAAAAAADwDQplAAAA4HWff/75kSNH1DgqKurFF180mUxuPjYtLe3NN9+MiIjwWnZtniRJ06ZN0w737t3r/mP/8Y9/aHFmZqbr0qXr6XS6xMTEWbNmvf322wMHDmzWYwEAAAB4T9nZi38aNfvydyf9nQgAAAAQcNh6CQAAAN5lt9tXrlypHS5cuDAsLKxZPcTGxmorpqBBI0eOfPPNN9V448aNkydPdqfkRVGU7Oxs7XDUqFFuDveb3/zmN7/5TQvyBAAAAOAjiuKwy/5OAgAAAAhEFMoAAADAu7755huz2azGSUlJ3lh3RFGU8+fPf/fdd8eOHfv++++vXbtmMBi6deuWkpIyePDgQYMGtWzzJpvNlpubu2/fvpMnT5aVlcXExKSmpt56661DhgzR6/XN6kqW5aNHjx4+fPjYsWPnz5+32+1xcXEDBw78t3/7tyFDhrR+b6no6OiBAweqy/ZUVFT88MMPycnJTT7q4sWLxcXFatyrV6/27dv7LH9Zlo8cObJv375jx44VFxfb7fZ+/fq98MILDbY8ePDg119/nZeXp56F3r17Dx8+/NZbb23ZvHn7XAAAAAAAAAAAAhmFMgAAAPCuLVu2aPHMmTObu7mPazU1NX/7299ycnIqKyudb7daradOnTp16tSnn34qSdIjjzySkZHhYugrV67MmzdPjZcvX64Wnfz2t7+tq6vT2pSUlOzevXv37t0RERGLFy8eMGCAOxkqirJ9+/Z169ZZLBbn24uKioqKinbs2KHX6x9++OGf/exnrZyZqVOnavtbbdu2LSsrq8mH7Ny5U4unT5/eYJvW53/93J46dWr58uX1TpnNZrv+sSdPnly+fHlVVZV2S0lJSUlJyb59+4xG46JFi26++eYmn6YHnwsAAAAAAAAAoK3T+TsBAAAA3MisVuuJEye0Q48vJ7Nw4cJ169bVK7moR1GUlStXLlu2zOFwuGgj/4sQIjc3d/Hixc5VMs5qamqefvrpv/71r02mV1tb+9RTT61evbpeZYYzWZZXr179/PPPq0O3WGpqqsHwzzr4nTt3Nlh3Um/crVu3qrEkSWlpade38Uj+9eb2wIEDTz75pOtTptq1a9dTTz3lXCXjzGKxLF26dO/evU32o/LluQAAAAAAAAAABCxWlAEAAIAXFRUVaXFsbGxkZKQ3RklMTJw0aVLfvn3j4uLCw8OFELIsl5WV5ebmvvXWW+rGT4cOHVq/fv29997bZG8HDx7ctGmTEKJbt25z587t1atXWFiYw+G4fPnyxo0bd+3apTb73//9386dOzdYX6KyWCyPP/74lStX1MMOHTrcd999gwYNioqKkiTJYrGcOnXqzTffPHfunBDiwIEDr7766sKFC1s8CXq9fuLEiR999JEQQlGUw4cPDx061EX7/Px8u92uxj/72c+u33LIG/kfPHhw8+bNQoiePXvef//9PXv2DA8PVxSluLh437599dJ7/fXXtcPRo0dPmzatU6dOOp3ObDYXFBSsXbv23Llzr7766tSpU5ucHB+fCwAAAAAAAABAwGJFGQAAAHjRhQsXtLhHjx4e73/w4MGrVq1asWJFRkbGTTfdZDKZJEmSJMlgMHTo0OGuu+565513+vbtqzbOzs4uKytrsk+1Sub2229fsWJFampqeHi4JEl6vb5r166PPfbYc889p7X83e9+52Lhltdff12rzJgwYcLatWtHjhwZExOj0+kkSQoLCxs0aNBrr72WkZGhtvnyyy+1vZNaZty4cVqck5PjurFasKIaP368b/LftGmToih33333q6++OmjQIPV86XS6Tp06Ode7yLL8wgsvaIfPPPPM448/3rVrV71eL0lSeHj4wIEDX3vttVGjRgkhNm7c6HpQLz0XAAAAAAAAAEBbRKEMAAAAvOjq1ata3L17d4/3P2fOnG7durloYDQalyxZYjQa1cPt27e70223bt0WLFig1+uvv+uWW255+OGH1dhsNje2AVNBQcEXX3yhxkOHDp07d26Dvel0uqysrKSkJPXwf/7nfxRFcSfDBnXt2rVTp05qfOLEifLy8sZaVlVVHTp0SI1jY2MTExN9ln9qauoDDzwgSZKLNrt27aqpqVHjOXPmNLg0jk6ne/zxx5OTk10PJ/x0LgAAAAAAAAAAgYmtlwAAAOBFFRUVWhwXF+eXHEwmU2Zm5oYNG4QQ27dvnzVrVpMPycrK0ukarSkfP378u+++W1tbK4T44IMPfv7zn19f9vHee+9p8eOPP+6iLkSSpPnz5y9YsEAIcfXq1QsXLtx0001NZtiYe+65R9uxaO/evZMnT26w2T/+8Q/nh/gy/3nz5rmukhFCvP/++2oQHh4+adIkF0NnZWWpQ7vg1XNx4cKFJ5980nUb9WfJbDa7KF2Cw+EQQthsNmYpeKgnXYs59cFDK0PkpDeL78s37XZ7A4Wl+OfMtPDLh7IsezYZwDdk+43zoyvL9tZ3oigKf8Wup767s1gsLhZexQ3G+S29LMu8LoKH+taU67igUu96pKKiosnP93CDqays9HcKQv1AXvzfP0AtRqEMAAAAvMj5AzKDwW9vPtPS0tRCmbKyMrPZHBYW5qJxWFhYv379XDTQ6/WZmZnvvvs6ivVcAAAgAElEQVSuEKK6uvry5cudO3d2blBXV3fgwAE1vuOOOyIjI12n17Nnz/Dw8Lq6OiHEV1991ZpCmeHDh2uFMjk5OQ0W8SiKkp2drR2OHDmyXgPv5Z+QkNC1a1fXvZWWlpaWlqrx3Xff3eDqL85DR0VFubhO8/a5sFqtBQUFrtuom445HA673QMfyt/YHA6HRy500RbxAgk2iqJw0gOcIlhZrWGtKVpivTq0UQ7lxnmH5vDQy5C/Yo3hLX3Q4t1dEOKkBzPqv4NQILzePZsDWy8BAADAi0JCQrTYj2+mo6Ojtdh5kZsGjRgxosmvRNx8881afObMmXr3nj17Votvv/32JtOTJGngwIFqfOLEiSbbu2AymdLT09W4oqLCORPNhQsXiouL1Tg1NfX62hHv5e9Ob86j33LLLU0Ofeedd7rZm4/PBQAAAAAAAAAgALGiDAAAALwoKipKi8vKyrw0iqIohYWF+fn5R48evXjx4uXLly0Wi3MD5y+0VVZWduzY0UVvKSkpTY7o3MOFCxfq3et8S/fu3ZvsTQhx00035ebmCiFOnjzpTnsXJk+e/NVXX6nxX//616ysrHoNdu7cqcVTp069vgfv5e/OYjlFRUVanJCQ0GR7db2Wxvj3XAAAAAAAAAAAAg2FMgAAAPCiDh06aPH58+e9McT+/fvXrFmjLZHSJKvV6rqBc86NCQ8P1+JLly7Vu7ewsFCLH3vsMZ1OJ/610r6iKFoghHA4HGqgLVhaVVWlKEprdvnt06ePtnnQzp07H374Yed1fWRZ3rp1qxobDAZt9RTf5B8bG9tk/s7zaTKZmmwfHx/v4l5vn4t27dpNnDjRdYbff/+9EEKv1xuNxiafTtCy2+2yLOt0OucfV9zY1JOuxpIkhYaG+jcf+IzD4VB3ZuS3YoDTteLdyI1N0rV8iW5dKx4L+JFO0glxg2ymo5M88zLkr9j1bDabw+HQ6/V+3HYZPsZb+qAly7LdbuekBxXtOk4VGhramk8v0YYoiqJ+nB4IJ92ze37xfgUAAABe1LVrVy1WywU8a+3atVrZh6e4c5Gv1+u1uN7qNUIItUhFZTabPZWYm3Q63d13371hwwYhhKIohw8fHjp0qHbvkSNHtCuKn//8585PROO9/N35wNS5ksmdfya5/oTa2+ciISFh6dKlrtvMnTtXCGE0Gq/f5Qqa6upqWZZDQkKYpeBRU1OjvUIlSeLUBw+r1Wqz2TjpzeX7TyT1eoPi4yHbCINer7S0YoBCGbRReoP+himUafAKqLn4K9agyspKq9UaGhoaERHh71zgI1VVVdonDHq9ntdF8DCbzdXV1TqdjpMePCwWi3OhTLt27XhnGyQcDse1a9dEYJx0LQGPZEKhDAAAALyoS5cuWlxaWlpVVeXBS+g9e/ZoVTI6nW7ixInp6eldunSJiIgwGAySJGn/UioqKpo3b56b3Ta55Iz4v3s5XV9Y4/fvz40ZM0YtlBFC5OTkOBfKbNy4UYvHjh3b4MP9m7/zfKrfR3Td/vpCJWd+PxcAAAAAAAAAgIDCp8YAAADworCwsJ49exYUFKiHR48eHTZsmEd6lmV5zZo1ahwVFbVixQoX2/o0a1XGkpKSJtvU1tZqcefOnevd27FjRy3esGGD779O16FDh+Tk5DNnzgghTpw4UV5eHhMTI4SoqqrKy8tT23Tu3Nl5vR9n/s3fefTa2tro6GjX7UtLS93szS/nAgAAAAAAAAAQUFgTCQAAAN41ZcoULX7//fcVxTOr+BcVFdXU1KjxY4895qJKRghx5coV93vWynpcuHr1qhZ369at3r0/+clPGmzpS9OmTdPivXv3qsG+ffu0G6dPn97YY/2bv3P5TnFxcZPt1XqgxgTCuQAAAAAAAAAABA4KZQAAAOBdw4YNMxqNanzmzJljx455pNsLFy5ocZ8+fVw3PnjwoPs9f/HFF01W8xw6dEiLnUsxVElJSS0b2oOGDBmixTk5OYqiKIqSnZ2t3Th8+PDGHuvf/J1Hd57nxnz22Wdu9uavcwEAAAAAAAAACBwUygAAAMC7QkJC5s6dqx2+/PLLFoulWT1UVFScP3++3o3Onej1ehcPt1gsO3bscH+4urq6kydPumggy/KmTZvUOCIiokuXLvUaREdH9+3bV40//PBDu93u/uieYjQaR48ercYVFRVnz569cOGCtqRKenq6yWRq7LH+zT8+Pl5bH2jz5s2ut80qKCioqKhw0SAQzgUAAAAAAAAAIHBQKAMAAACvGz16tLboS1lZ2eLFi81ms5uPPXLkyEMPPVRVVVXv9vj4eC2+vozG2bp165pbHrFy5UqHw9HYvbt27aqurlbj6dOnS5J0fZvZs2erQV1d3Ztvvtms0T1l4sSJWvzXv/51586d2uHkyZNdP9a/+c+YMUMNamtrt2/f3lgzRVFWrVrVZG+BcC4AAAAAAAAAAAGCQhkAAAB4nSRJS5cujY6OVg9PnTr14IMPnjp1yvWjqqqqXn/99caqahITE7X4jTfeaLAURlGUDz74YNu2bc1N+Ny5cytWrGiwViYvL2/lypVqbDQanYtRnPXv33/EiBFqvG3btnXr1rleGUUIUVJS8s4779TU1DQ328YkJydrc75z586tW7eqcXh4eJObVfk3/4yMDG3BmzVr1hw+fPj6NmqVTEFBQZO9BcK5AAAAAAAAAAAECAplAAAA4Asmk+mNN97o2LGjelhVVfXkk09mZWV98cUXly9fttls6u2yLFdUVBw+fPiVV17593//9127djXWYWRk5G233abGhYWFWVlZeXl5WklNbW1tXl7eggUL1q9fL4SYNm2a+6lOmjRJCLF79+4nnnji6NGjVqtVCOFwOIqLi9euXfvss89qLRcuXBgaGtpYP48//njnzp3V+KOPPrr33ns//fTTy5cvqx2qfdbU1Jw7d2779u3/8R//MWfOnOzsbBcr2TSXJElTp05VY0VRtOqQKVOm6HRNXwj4MX+DwbBo0SLtcMmSJatXr758+bLaudVqPX78+IIFC9QdtZpcHce/zwUAAADwi9ifdHv48/WdBvX2dyIAAABAwDH4OwEAAAAEi+jo6JUrV65cufKzzz5TbyksLHzllVdcP0qn0z3wwAN9+/a9/q758+fn5eWpuyBdunTJuYTFWVZWVmpqak5Ojpt5Dhs2rG/fvi+//PKZM2ecyzXqefDBB4cMGeKiH6PR+Nprrz3//PNHjhwRQlRXV69Zs8bNHDzlzjvvXLduXb0bR48e7c5j/Zt/amrqr3/969WrV6uH27Zta3BloPnz5yclJW3ZssV1b4FwLgAAAAAAAAAAgYAVZQAAAOA7oaGhv/nNb15//fW0tLQmGxsMhl/+8pfvv//+5MmTG1wBxWQyrV69ulevXo31EBYWtnTp0nHjxjU3zxEjRixdurSx1WLCw8Off/55dxYyCQsL++1vf/vMM89oWyA1RpKkjIyMFStWREZGNjdbF2JiYvr37+98S3JycocOHdx8uH/zHz9+/O9+97uIiIgG7zUYDIsXLx47dqybvfn9XAAAAAAAAAAAAgErygAAAMDXkpKSli1bVlVVdfz48SNHjpw8efLKlSvl5eUhISFxcXEpKSnJyckDBw5MTk7W6/Wuu4qOjn7llVdOnz69Z8+e/Pz8wsJCIURCQkK/fv3S09PT0tJCQkJaluTNN9+8fv36b775Zt++fSdOnCgvL4+KikpLS7v11luHDRvWZGIaSZKGDh369ttvnz9/fv/+/adPnz516lR5ebma50033dSjR49Bgwb16tWrxam6Nm3atKNHjzofNuvh/s2/f//+77777v79+7/++uvDhw+Xl5fHxMSkpKSMGDFi2LBhYWFhbei5AAAAAAAAAAACAYUyAAAA8I/IyMihQ4cOHTq0lf1IktSrVy8X68oIITp16vTxxx83t2ej0Thy5MiRI0e2Irt/kiQpMTExMTGx9V011+DBg1vw3OtpTf4tm3yNXq8fNmzYsGHDGmuQkpLSrP79eC4AAGixoa/Mk612X47YvospRHjgXZAQQpbluro67dBkMjW4WGBbEdI5QR8a3rLHSiJkVg/PphPo1G1Sw8PD3S80RwCS68IHjZXcbDx7qWT5VzwgrdO9v2ztFV8LScpP4hv4VRNXWyOZurW2cx3/WAEAAGjbeD8HAAAAAAAABLReD93l7xRazmazSRUV2mFMTIzBEKSfSZoMopPJ30n4VklJiRAiOjqaFfuCxwO6H0tqknq0HzOhtx+TaUCUvxMAAABAAGjD394AAAAAAAAAAAAAAAAA3Bek394AAAAAAAAAvMpeaynZf8KdlhGRBv2N+3U2u91uq6nRDuvatWvNLjyhMQZDOw9k5QgJsUe6tYOSzSEu1rBtUAtV1FYIISIka9AuI+QDdquhztza3yAms12yyh7JR1EULa6Va6tslZEhrOICAACAwML1CQAAABDsbDbbPffc46ne1q9fbzIF2aYCAAA0pOb8lW0/fcKdlsPvT5O/L/B2PgGirHUP7z53iCn8+9anYe2RWtYzzJ2W5Zbo/8l3tH5EwEs6S90+2WdvZSd31TnOfXvJI/nYrD++Xi7WnTtRlj8kYbhHegYAAAA8hUIZAAAAAEKWPfP9UQAAAAAAAAAAAtmNu6grAAAAAAAAAAAAAAAA4IQVZQAAAIBgFxIS8vHHH7tosGfPnj/84Q9q/Oijj2ZkZPgkLwAAAAAAAAAAPIwVZQAAAAA0QafTNRgDAAAACDTm4nOHF4+rPpvv70QAAACAAMWKMgAAAIDo1KmT6yVVAAAAAKBtUBRFtgtF8XceAAAAQIDiy6AAAAAAAAAAAAAAAAAICqwoAwAAAMDDrl69um/fvuPHj584caKmpiYsLKxXr179+vUbPnx4ly5dmtWVLMv79+/Pzc399ttvy8vLY2Nje/Xqddtttw0dOjQ0NNS/uQEAAAAAAAAA2hwKZQAAAAB4TEVFxcsvv3zkyBHnG61W64EDBw4cOPD2228nJyc//fTTCQkJ7vR25MiR//7v/66pqdFuuXr1qlrpYjQan3766bS0tNOnTy9cuFC9d9WqVZ07d/ZNbgAAAAAAAACAtoitlwAAAAB4xpEjR+6///56lSj1nDlz5le/+tW+ffua7O2TTz5ZvHixc5WMM4vFsmTJkj179ggh5H9RFMU3uQEAAAAAAAAA2ihWlAEAAADgAWfPnl28eLF2mJqaOnv27MTExJCQELvdfvHixfXr13/zzTfqvS+99NLzzz+fmpraWG8HDx588803tcPx48dPnjy5Y8eOOp3OYrF8//33f/7znwsKCv7whz9MnTrVx7kBAAAAAAAAANouVpQBAAAA0FqyLC9btkw7fOCBB55//vmUlJTQ0FBJkkJCQpKSkhYvXvzoo49qbV544QWr1dpgbzab7aWXXtIOn3/++V//+tddunTR6/WSJIWFhfXv3//VV1+dOHGiEGLjxo2+zA0AAAAAAAAA0KaxogwAAACA1vr73/9eWlqqxuPGjZsyZUqDzTIyMq5cuZKdnS2EMJvNGzdunDVr1vXNduzYYTab1TgrK6vBxV0kSXrooYd++OGHo0eP+jK3esrLyz/55BPXbdTnYrPZ6urqmuwwaNntdiGELMvMUvBQT7pKURROffCQZVkNguGka3/OmqQ4HF7N5EbikD0zV4ribj8u9nYEAoHDE79APNJJg3iDFzzUP/F2u50zHjy093VCCIfDwakPHurVHNdxQcX5El4IYTabJUnyVzLwJe1qKBBOuvY7xyPvXSmUAQAAANBa77//vhY/8MADLlrOmDFj8+bN6tX1xo0bZ8yYodPVX+dSrVYRQrRr127MmDGNdSVJ0ty5cx977DFf5lbPtWvXXnvtNddtevToIYSw2Ww1NTWuW8Jut9f75AVBQlEUXiDBJkhOuvv/OZAdMh8zu8n5f3Kt4f5HqxTKIMDJsixEa3+FeKoE7Xp2uz0YfuFDY7PZbDabv7OAHzgcDl7swYaTHsxqa2v9nQJ8LRBOumdzYOslAAAAAK1SUlJy9epVNR41apTJZHLRODQ09Oc//7kaW63Ws2fPXt9bWVmZGk+ZMkWv17voLSkpKS4uzme5AQAAAAAAAADaOgplAAAAALTK+fPntXjEiBFNth82bJgWFxQU1LvXuTwlLS2tyd5uv/12n+UGAAAAAAAAAGjr2HoJAAAAQKtcvHhRi7t06dJk+06dOmnxuXPnXPTWoUOHJntLTk72WW4N8vvuvAAAAAAAAAAA91EoAwAAAKBVLl26pMVRUVFNto+IiNBi50IW1ZUrV7TY9U5JKtdbL3k2t+slJyfv37/fdZu5c+cKIUwmU3x8fJMdBq3q6mqz2Ww0GiMjI/2dC3ykpqamrq5OjXU6Xfv27f2bD3zGarVWVlZKkuT6F/iNIaTE3Q3UDYYQ2aup3EBCQkM80o9e7+7nojqdTgiHRwYFvCEkJEQIeys7MYR46z8FRqORt8FBorKy0mq1hoeHO19V4cZWVVVlsVjU2GAwxMTE+Dcf+IzZbK6urtbr9bGxsf7OBT5isViqqqq0w/bt2+t0bFwTFBwOx7Vr10RgnPSamho18Egm/AQDAAAAaBWbzabFBkPTn7A7X8lon6lprFZrgy0bYzQafZYbAAAAAAAAAKCto1AGAAAAQKuEhPz4xW5Zbvr78A7Hj9/Jvr7Mxbk355aNcS6s8XZuAAAAAAAAAIC2jkIZAAAAAK3SsWNHLXZehbUx2iKZQoguXbq46E3blsWF0tJSn+UGAAAAAAAAAGjrKJQBAAAA0CrdunXT4qKioibbX7lyRYsTExPr3du1a1ctvnr1apO9nT171me5AQAAAAAAAADaOgplAAAAALRK9+7dtfirr75qsn1ubq4W9+jRo969zuUp3377bZO9ff755z7LDQAAAAAAAADQ1lEoAwAAAKBVOnToEB8fr8Y7d+40m80uGttsto8//liNQ0NDk5OTr+8tMjJSjTdv3uxwOFz0VlhY6HrVGc/mBgAAAAAAAABo6yiUAQAAANBaM2bMUANFUd577z0XLTdv3myxWNR48uTJOl39SxJJkqZPn67GlZWVe/fubawrRVHWrl3ry9wAAAAAAAAAAG0dn/wCAAAAaK0xY8bExsaq8UcffbRjx44Gm33++efvvvuuGhuNRq0gpp4JEyaEhoaq8R//+Mfjx49f30ZRlLfffjsvL8/HuQEAAAABLqxj0s0v7m73k4H+TgQAAAAIUBTKAAAAAGgtvV7/7LPPaocrV6584YUXzp07Z7fbhRCyLF+4cOHVV1/9/e9/r7X5r//6r7CwsAZ7Cw0NXbBggXb4n//5n+vWrSsuLla3YbJaradOnXr66ac3btwohJg8ebIvcwMAAAAAAAAAtGkGfycAAAAA4EbQs2fPZcuWLVu2TC1n+eabb7755pvGGj/xxBODBw920Vt6evrs2bPffvtt9fCjjz766KOPrm82f/78xMTELVu2qIeSJPkgNwAAAAAAAABA28WKMgAAAAA8Iy0t7S9/+UufPn1ctOnevfvatWvvvPPOJnubNm3akiVLGlvZRa/XP/3002PHjlVrX1QGQ6PfBPBsbgAAAAAAAACANooVZQAAAAB4TGxs7Msvv1xcXPzll18eO3bs+PHj1dXVJpOpd+/e/fr1Gz58eLdu3dzvbfDgwe+9997XX3+dm5ubl5dXXl4eExOTkpJy2223paenqzU0FRUVWvuIiAif5QYAQJP0YaEdhrqq0dSEduooQhteF+0GoCiKLMvaoV6vb2wROHdIEXEi2tF0u6bojO1DdO3caRlmCE+KvGHPjrepm1228qTDtQhbRP/OSis7ia+x61PiPZKPpJPEv17xYbrwiBC3XmgAAACAL1EoAwAAAKAJI0eOHDlypPvtExISMjMzMzMzWz+0wWAYMWLEiBEjGmtw4cIFLQ4PD/dlbgAAuNYuqdPEr1f6Owv/s9lszoWtMTExLhaB85lQIdwsCogPE4v+zbvJ3MBKSkqEENHR0SEhIf7O5YY2xN8JOHl5lc5m+2d8kympX+wgv6YDAAAANICtlwAAAAC0YV988YUaJCUl8U1lAAAAAAAAAIBr/v/2BgAAAHBju3Llyrx589R4+fLlAwcO9G8+zsxm86xZs9R4/vz5o0aNalkbfykpKTlz5owajx07tpW9nT59euHChWq8atWqzp07t7JDAAAAAAAAAECgoVAGAAAA+CebzXbPPfd4qrf169ebTCYhhKIosix7qluP03JzOBytaeN7iqKsWrVKOxwyxAMrzmvPVFGU1vcG3KiufVuw6+5n3Wk5eFIPx5UrDd6lKIrzC61Ud0MteRv570N1GSb321+ti323wNZ0O+/ocjz6hy+v+Ww47dTrbqyTDhfqvd459UFFffcoSRIr/wUPm/XHa58PDl86tPoffkwGvtSC1/sdvY0DehZ6MykhhDDpjXeI5o2i5J/2eBryVaPt9Jkmm+lT/s34y4UeHx0AANRDoQwAAADwo0CuaAkqiqKsW7funnvuiYyMbLCBLMt/+tOfDhw4oB6mp6d36tTJhwkCQU222mvOF7vVsiLBfuWqWy1bl1KgcdjqFKUZlYVWJeyaxeK9fFyLqTWVXq3x1+gAgBuMc8F5tVW+XGn2Xy4IdFVmfa3d629CJKEIpbJ5j6kt9XgajtpIpazpt9BKdYXHhwYAANejUAYAAABAINqyZcuWLVtGjx49evToxMTEdu3aSZIky3JlZeW33367fv364uJ/fsio1+u1za0AAAAAAAAAAHCBQhkAAADgn0JCQj7++GMXDfbs2fOHP/xBjR999NGMjAyf5BXUdu/evXv3bhcNDAbDyy+/HBsb67OUAAAAAAAAAABtF4UyAAAAgLt0Ol2DcdsVFhbmujYowKWlpT355JONbc8EAAAAAAAAAEA9FMoAAAAACDiSJH3wwQc//PDD8ePHCwoKLly4cO3ataqqKoPBEB8f36dPnz59+qSnp7OQDAAAAFBPRdXFT/Y8kzF8UUJcL3/nAgAAAAQiCmUAAAAABKLw8PB+/fr169fP34kAAAAAbYkihMMhC6H4OxEAAAAgQFEoAwAAAPiBoij5+fmff/75d999V1paGh4e3rt37yFDhtx+++0mk8n9Ts6fP//dd98dO3bs+++/v3btmsFg6NatW0pKyuDBgwcNGhQaGurVZ+GzfDwyXbIsHzx48Ouvv87LyysrK4uJiendu/fw4cNvvfVWH08UAAAAAAAAAMBfKJQBAAAAfO3y5cvPPffc5cuXtVusVmtubm5ubu6qVasWLFgwcuRI1z3U1NT87W9/y8nJqaysdL7darWeOnXq1KlTn376qSRJjzzySEZGhiRJjfVjNptnzZqlxvPnzx81alTLnpGn8hFCXLlyZd68eWq8fPnygQMHtn66hBAnT55cvnx5VVWVdktJSUlJScm+ffuMRuOiRYtuvvnm5j1nAAAAAAAAAEAbRKEMAAAA4FMFBQULFixQlIYXQlcU5fe//31NTc348eNddLJw4cLCwkLXAymKsnLlyq+++uq5557T6XSNNZNlWQ0cDkdTufsiH0VRtJSEh6Zr165dr7/+emP3WiyWpUuXLliwoEuXLq6fAgAAAAAAAACgraNQBgAAAPCd/Pz87OxsRVH69Okze/bs5OTk8PBwRVFKSkqys7N37NihNlu9enV6enpMTIzr3hITEydNmtS3b9+4uLjw8HAhhCzLZWVlubm5b731ltlsFkIcOnRo/fr19957r7efmjfy8ch05efnO1fJjB49etq0aZ06ddLpdGazuaCgYO3atefOnXv11VenTp3a2ikAAAAAAAAAAAS2Rr/HCQAAAMDjNmzYYLfbZ8+e/dJLLw0YMMBkMkmSpNPpEhISsrKyHnroIa3lxo0bXfQzePDgVatWrVixIiMj46abblL7kSTJYDB06NDhrrvueuedd/r27as2zs7OLisr8+rz8lI+rZ8uWZZfeOEF7fCZZ555/PHHu3btqtfrJUkKDw8fOHDga6+9pu455XrOAQAAAAAAAAA3AFaUAQAAAHxq1KhR06ZNa/CuiRMnfvTRR1evXhVC7NixY86cOZIkNdhyzpw5rkcxGo1Lliy57777LBaLEGL79u2zZs1qXeKueC+fVk7Xrl27ampqtCSHDh16fT86ne7xxx8/e/bsmTNn3EnJmSzLFRUVrtuo+0YpitKaza1ueMxS28JpapKiKA3/+g5MjWxvBwAA4FVB9RaksQ2Fr2/Wht5s13tSbShztBKX8EGI13vQ0s51IJx0z+ZAoQwAAADgUw8++GBjd0mSlJmZuWbNGiGE2Wy+du1aXFxciwcymUyZmZkbNmwQ3i+U8V4+rZyu999/Xw3Cw8MnTZrkoqusrKwFCxa4k5Kzc+fO3XPPPa7b9OjRQwhRV1d37dq15vYfbKxWK7PUJlRWVrrZUpbtXs0kYNnt9tDmtJdl2VupuMFmD9LTBAAA/MvukzchDodDBEAJs5vv92w2W03bvCay2+1czQUbh8PBSQ9a5eXl/k4BvhYIJ722tlYNPFIxw9ZLAAAAgO+kpaVFRka6aKDtTySEaP3HDWlpaWpQVlZmNptb2VvrNTefVk5XaWlpaWmpGt999916vd5FVz179oyKimoyJQAAAAAAAABAm0ahDAAAAOA7Q4YMcd0gOjpai1tfp+/cW5M7BPlAc/Np5XSdPXtWi2+55RbXXUmSdOeddzaZEgAAAAAAAACgTWPrJQAAAMB3OnXq5LpBaOiPm3VYrVbXjRVFKSwszM/PP3r06MWLFy9fvmyxWJwbOK9CWVlZ2bFjx+an3Awez6eV01VUVKTFCQkJrrsS/9ojCQAAAAAAAABwA6NQBgAAAPAdo9Hoqa7279+/Zs2a4uJiN9s3WXYTgPm0crouXbqkxSaTqcn28fHxzR2iQ4cOy8ZrVfYAACAASURBVJcvd90mOztbCBEaGup6G6kgZzabbTZbSEhIWFiYv3NB0yxuvKBUOp1e9moqgcr1Xm8NtNfphbB7KZmmR29mtgAAAB7hmzchkk4Sig/GaYJep3PnjbHBYDC2nStH9TpOjfV6vTvX3bgx2Gw2s9ms0+kiIiL8nQt8xG6319XVaYft2rWTJMmP+cBnFEWprq4WgXHSdbp/bpfkkUwolAEAAADanrVr127dutXfWfwo0PJROdfiaNdRLrSgLicyMnLChAmu22zZskWoH3d6rkzqxmOz2Ww2m06nY5baBOfFnFzz+2co/uLO75z/w6/z1OxsAQAAPEHnk/eKkn/faf2L5N47rrZ1TeR80S1JUhvKHK2kKIrgpAe30NBQLiSDhLZAeCCcdLv9n18xolAGAAAACEZ79uzRqlJ0Ot3EiRPT09O7dOkSERFhMBgkSdIuFYqKiubNmxds+Wic/5fvcDia/LZivY2iAAAAAAAAAAA3HgplAAAAgLZEluU1a9aocVRU1IoVK2JjY100DrZ8nHXs2FGLa2tro6OjXbcvLS31ckYAAAAAAAAAAD9jTSQAAACgLSkqKqqpqVHjxx57zEVVihDiypUrwZaPs65du2pxcXFxk+3PnDnjzXQAAAAAAAAAAP5HoQwAAADQlly4cEGL+/Tp47rxwYMHvZxOwOXjLCkpSYsPHTrUZPvPPvvMi9kAAAAAAAAAAAIAhTIAAABAW2KxWLRYr9e7brljx45gy8dZfHy8tsLN5s2bXW/8VFBQUFFR4ZO8AAAAAAAAAAB+Q6EMAAAA0JbEx8dr8fnz5120XLdund1uD7Z86pkxY4Ya1NbWbt++vbFmiqKsWrXKV0kBAAAAAAAAAPyGQhkAAACgLUlMTNTiN954o8HSE0VRPvjgg23btgVhPvVkZGSYTCY1XrNmzeHDh69vo1bJFBQU+DY1AAAAAAAAAIAfUCgDAAAAtCWRkZG33XabGhcWFmZlZeXl5ZnNZvWW2travLy8BQsWrF+/Xggxbdq0YMunHoPBsGjRIu1wyZIlq1evvnz5ssPhEEJYrdbjx48vWLBA3RNq8uTJPk4PAAAA8LiYyK6zJ7+dENfb34kAAAAAAcrg7wQAAAAANM/8+fPz8vKqq6uFEJcuXXr22WcbbJaVlZWampqTkxNs+dSTmpr661//evXq1erhtm3bGlzbZv78+UlJSVu2bPFtdgAAAAAAAAAAn2JFGQAAAKCNMZlMq1ev7tWrV2MNwsLCli5dOm7cuODM53rjx4//3e9+FxER0eC9BoNh8eLFY8eO9XFWAAAAAAAAAADfY0UZAAAAoO2Jjo5+5ZVXTp8+vWfPnvz8/MLCQiFEQkJCv3790tPT09LSQkJCgjmf6/Xv3//dd9/dv3//119/ffjw4fLy8piYmJSUlBEjRgwbNiwsLMy/6QEAAAAAAAAAfENSFMXfOQAAAADADWvu3LkHDx585JFH5syZ4+9cAld1dbXZbDYajZGRkf7OBU2T6yzV54vdaRlq1OkbWcq2rq7ObDarsU6ni46O9lR6gUAyGaT2Rvfb2xVRYfXfor+1wmH23Wg2m626ulqSpJiYGN+NCr+y2+1VVVXaYVRUlF6v92M+8KWysjIhRGRkpMHANzaDRY+UznV1tWo8/8n/WrCo4Y1ZceOprq622WxhYWHh4eFuPiQsVDEZZa9mJYTQKUqE1MxRLFaPp6FYZEV2NNlMCg2TYjp4fHQvqaqqslgsamwwGHh3FzzMZnN1dbVer4+NjfV3LvARi8Xi/Ja+ffv2Oh0b1wQFh8Nx7do1ERgnvaam5o477hBCfPjhh8nJya3sjesTAAAAAADQDPpwY3Tvm1rZia2mRl9Xp8Y6nS60fftW59WGGYQIc/c/Sl7g26GtVmtlpSJJUlxclE8Hhv/YbLbwih//NRgTQ81EEAkxWoUQ0dGRfl9fED4jST/G0WGGxPYm/+UCn6o02K1WXXh4WERE2z/pXviNJbUTUtOtAACAj1DqBQAAAAAAAAAAAAAAgKDAtzcAAADga1euXJk3b54aL1++fODAgf7Nx5nZbJ41a5Yaz58/f9SoUc1tEGjaXMKtcfr06YULF6rxqlWrOnfu7N98AACB5tqmT+1lFc63tB8SpTfY/JWPHxWGdzysa+ebsRwOh7bVmhAirCrM70t2w2dqa2tF2zzplsp2peX+TkKIzrV2ubTW31k0jywrWlxqvXq0LE+Nb4pIigq9oXZaBAAAQNtFoQwAAIBnzJo1y/kfAEKIdevWub9T7+LFi48dO+Z8y8svv5ySkuKx/AKJoiiy7PVtyFtMy83haHj78CYbuM/5x2bjxo1e+v+BBxMOfNqTVRTFdUsAQBAq+2Sn5cw551vadx2k1F3wVz5+dLHryL9aQv2dBRC4TFXdPz9i9XcWYqJFOXuoyN9ZNI9s//Gi45q15HhZvhrHhMZSKAMAAIAA0cYK+QEAAAKWfJ29e/e6+djy8vIjR47Ue7hXs0WA4IwDAAAAAAAAAOBLFMoAAAB4S05OjptrWuzZs8fLuQAAAAAAAAAAAIBCGQAAAE/T6XSSJAkhKisrz5w502R7RVFycnLUODSUBfABAAAAAAAAAAC8hUIZAAAADzOZTBkZGWr86aefNtn++++/r6ysFELodLoJEyZ4NzkAAAAAwI2oouriu588UFx6yt+JAAAAAIGOQhkAAADP0+pddu3aZbVaXTfWimnGjRvXsWNH72YGAAAAALgRKUI4HLIQbu3/CwAAAAQzCmUAAAA8LykpKTY2Vo0PHDjgoqXFYtm9e7cajx8/3uuZAQAAAAAAAAAABDGDvxMAAAC4AUmSNG3atDfffFMIkZOTM3z48MZaamU0sbGxiYmJR48edX8URVHOnz//3XffHTt27Pvvv7927ZrBYOjWrVtKSsrgwYMHDRoUGhrasvxlWT5y5Mi+ffuOHTtWXFxst9v79ev3wgsv1GtWXFx88ODBb7/99ty5cyUlJTqdrkOHDsnJyQMGDEhLS0tISGjWoIqi5Ofnf/755999911paWl4eHjv3r2HDBly++23m0wmN3vw0oQEAs/OdmO8NIetP7kqWZYPHjz49ddf5+XllZWVxcTE9O7de/jw4bfeemtzE/PNfAIAAAAAAAAAAg2FMgAAAF4xcuRItVCmoKCgtLQ0Li6uwWbZ2dlqMH36dEmS3Oy8pqbmb3/7W05OTmVlpfPtVqv11KlTp06d+vTTTyVJeuSRRzIyMlx3e+XKlXnz5qnx8uXLBw4ceOrUqeXLl9fr2WazOR9WVVX98Y9/vH6xnMLCwsLCwr179woh+vbt+6tf/SolJcWdZ3T58uXnnnvu8uXLzs8lNzc3Nzd31apVCxYsGDlypIuHe3BCApDHZ7tBnprD63+iWnlyNSdPnly+fHlVVZV2S0lJSUlJyb59+4xG46JFi26++WZ3+vHNfAIAAAAAAAAAAhNbLwEAAHhFdHR0//791fizzz5rsE1JScmZM2fU+Pbbb3e/84ULF65bt65eQUM9iqKsXLly2bJlDofDdTP5X4QQBw4cePLJJ133XFFR8dBDD7neUkoIcfz48QULFtTV1bluJoQoKCiYO3eucyFFvQx///vfb9u2zUUPHpyQQOPx2W6Mp+aw3k9U60+uateuXU899ZRzlYwzi8WydOlStcbFNZ/NJwAAAAAAAAAgMLGiDAAAgLdMmzZN3Upp06ZNU6dOvX4Rjt27d6vBwIEDo6Ojm9t/YmLipEmT+vbtGxcXFx4eLoSQZbmsrCw3N/ett94ym81CiEOHDq1fv/7ee+91p8ODBw9u3rxZCNGzZ8/777+/Z8+e4eHhiqIUFxfv27dPa7Zs2bLa2lo1Tk9Pz8zM7Nq1q8lkkiTJ4XBUV1ery3Ls2LHDnUHz8/Ozs7MVRenTp8/s2bOTk5PVQUtKSrKzs7VOVq9enZ6eHhMT48sJCQSene0meXYOPXVy8/PzX3/9de1w9OjR06ZN69Spk06nM5vNBQUFa9euPXfu3Kuvvjp16lTXKfl4PgEAAAAAAAAAgYZCGQAAAG9JTU3V6/WyLFdXV58+fbpXr17O9zocDrUqRQjR5H/36xk8ePCiRYu6detW73aDwdChQ4e77rprzJgxzz333PHjx4UQ2dnZEydOjI2NbbLbTZs2CSHuvvvuBx54QCvrkSSpU6dOWoYXL14sKChQ41/84hczZ8507kGv10dHR0dHRw8YMGDOnDkff/xxk4Nu2LBBCDF79mznWiJJkhISErKysrp3767uYCWE2Lhx44MPPujLCfE7j8+2C96YQ4+cXFmWX3jhBe3wmWeeGTp0qHYYHh4+cODA11577fXXX//73/++ceNGF/n4cj4BAAAAAAAAAIGJQhkAAABvMRgMEyZM+OSTT4QQW7dufeKJJ5zvPXnypLqyhV6vT01NbVbPc+bMcd3AaDQuWbLkvvvus1gsQojt27fPmjXLnZ5T/z97dx4fVXU//v/cmckyE0ISCGGLJIY9imkElM1qUUAriCKIPL4/UakVBKO1qbSKyvah1oV+bBH4QFv6cUmp7Fr8ABUqonkIIYAxyBoiBAiQDbJMMvv9/XHb22lIbiaT2TJ5Pf86d+bMOe97zkxyZ+Y952RkuGfJXO/06dNqWTu/x2g0Tp8+3ZNOx44dO3Xq1Cbvmjhx4rZt28rLy4UQu3btmjVrVpOx+W9Agssfo90cP41h2yd39+7dZrNZDdI9S0al0+mef/75s2fPqnuZNckf43np0qVf//rX2nXq6uqEEFarVXtnqw5O2avLbrczSh2HMukKWZaZ+o5D3b8vKJN+/e6BTqezY25M7v4aBHA9p9MR7BCEEMLhCIkwfKKhoaHGyb/7cKY8XW02G/9iOg73v1FOp5NL+o5Duah2uVxMesfR6J1UbW2txgfICCeyLCuFUJh0daXw69/ae4FEGQAAAD+69957lUSZvXv3zp07Nzo6Wr1LXa/i/vvv1+v1Pu/aZDJNmTJFWdLD87yQOXPmaF/vVlZWKoXo6OiIiIi2xymEaG4pESGEJElTpkxZs2aNEMJisVRVVXXt2tW7XrwbkODyx2i3hRdj2PbJ/etf/6oUjEbjpEmTNFqbN29edna2RjD+GM+Ghoavv/5au07fvn2FEE6n02az+aTTMOZyuRiljkmWZaa+ownWpF//aZr6qV9HI/vig0UgjIXIH4cQCcMnHA6HTfDvPvw5nU4SZTomLuk7ICa9I7Pb7cEOAYEWCpPu2785HfM3MwAAAAGSnJzcrVs3pXzw4EH19vr6+tzcXKU8YcIEP/WemZmpFK5evWqxWFqsn5SU1Lt3b+06sbGxSsFisajrfLRFZmam2maTBg8erJarqqra2JdS8HBAgs7no912rRrDtk9uZWWlmt3y4IMPaqeU9evXr3PnzhoVQnA8AQAAAAAAAAABRqIMAACAH0mSNG3aNKW8ceNG9fb9+/crhaSkpOTkZD/1HhcXp5arq6tbrH/HHXe0WKd///5q+Te/+Y262qHXhg8frl3B/SyuXbvWlr5aOyBB5/PRbrtWjWHbJ/fs2bNqediwYdqtSZJ01113aVQIwfEEAAAAAAAAAAQYWy8BAAD41+jRo1etWiWEOHv2bHl5ubLAzIYNG5R7p02b5vXWnrIsnz9//ujRo999993FixcvX75stVrdK7hvLlBTU9O9e3ftBm+44YYWO01NTe3du/fFixeFEAUFBY8++uiYMWPuu+++vn37mkwmL86iR48e2hUiIyPVsvbiij4fkKDz+Wi3yLdj2PbJLS0tVctJSUnarYl/bXLUHH+Mp9FovP3227XrKDlAOp0uFPbPCllOp9PlckmSZDDwLrWjUCZdKTP1HYrL5VJ2ZAjKX8Xrr7uCvsl6sEg6nWDzJaB5kiQJEfxtj8Lpb5Rer+d6OLw5HA5ZlnU6nT92l0Zo4pK+wwruJT2CQp10hcFgCKerFGiQZdnhcIjQmHTf/s3hnxYAAIB/xcbG3nrrrYcPHxZC7Nmz59FHH7106ZL69f/o0aO9a/bgwYNr1qwpKyvzsL4n+3cmJCS0WEeSpMWLF2dlZTU0NCi3fPXVV1999ZUQomvXrrfddtvw4cMHDx4cExPjYWBRUVEe1tTmjwEJOp+Ptjafj2HbJ/fSpUtq2ZNclsTERI17/TGePXv2XLlypXad2bNnCyGio6PdV9BBI3V1dRaLJTIyUnu7LoQTs9msvhglSeIF0nHYbLaamppgTXqFXu/4z1s67Jd5er1eOFquBnRYer1BiOC/ZQinb51NJlNcDP/uw1lNTY3NZouKivLVW1SEvtraWvXXNXq9nkv6jsNisdTV1THpHYrVaq2trVUPO3furNOxcU2H4HK5qqqqRGhMunpt7JNIwuc6GwAAIGQ99NBDSqLMtm3bHnnkkb///e/K7cOGDevUqZMXDa5du3b79u2+DFEI4fGHsElJSX/+85/XrVunnoiisrJyx44dO3bsEEIMGzbsiSee6NOnj8+DbJKfBiQUBGy0Q3MM3XNxPHn/02JqTgg+ewEAAAAAAAAAgUSiDAAAgN/dfPPNkZGRNputvr4+Pz//b3/7m3L7Qw895EVre/fuVRMadDrdxIkTR44c2atXr5iYGGX9Q3UJxNLS0jlz5vjkFBoxmUzPPvvsrFmzvvnmm9zc3Ly8vEYb9OTn5+fn50+ZMuXxxx/395KMoTAgfhWA0Q7ZMXTfm8nlcrX4o/9GI9OkkHr2AgAAAAAAAAACjEQZAAAAv9Pr9RMnTtyyZYsQ4je/+Y2yqWdUVFR6enprm3I6nWvWrFHKnTt3XrFihcZ+Se4bx/qDyWQaNWrUqFGjZFm+du1acXHxl19++cUXX6j9btmypU+fPmPHjvVfDCE1IH7lv9EO5THs3r27Wq6vr29xRd/KykoPWw6FZy8AAAAAAAAAIPDYPAwAACAQxo8frxSULBkhxKRJk1pcHuN6paWlZrNZKT/33HMaCQ1CiCtXrrS2fe9IkpSQkDB06NCf/exnGzdunDVrlnrX2rVrXS6X/7oOzQHxK5+PdiiPYe/evdVyWVlZi/WLi4tb20UQn70AAAAAAAAAgMAjUQYAACAQevXq1bNnT/dbxo0b50U7Fy5cUMuDBg3Srnzo0CEvumgjg8Hw4IMPqolB9fX1VVVV/usu9AfEr3wy2qE8hqmpqWr58OHDLdb//PPP29JdgJ+9AAAAAAAAAIDAI1EGAAAgQKZNm6aWe/fu3ShvxkNWq1Utay9IY7Vad+3a5UUXPjFq1Ci1XFtb67+O2suA+FUbRzuUxzAxMVFd4Wbr1q3aGz8VFRVVV1e3vdOAPXsBAAAAAAAAAIFHogwAAECA3HPPPZ/8y+rVq71rJDExUS2XlJRo1Fy3bp26zVPgua/D0alTJ/911F4GxK/aONohPobTp09XCvX19Tt37myumizLq1at8kmPAXv2AgAAAAAAAAACj0QZAACA9iQlJUUtv/vuu01mLciy/NFHH+3YscMfAWzYsKGwsFB7YY+GhoYPPvhAKUdHR7vnYfhc0AfErwIz2iE+huPHjzeZTEp5zZo1R44cub6OkiVTVFSk3VSoPXsBAAAAH4qP7T1z8vtJXQcGOxAAAAAg1JEoAwAA0J7ExsaOHj1aKZ8/f37evHkFBQUWi0W5pb6+vqCgIDs7OycnRwgxdepUnwdw5syZBQsWTJ8+fe3atQUFBVVVVXa7XbnL6XRevXp17969Tz/99NWrV5Ub58yZI0mSz8NQBX1A/Cowox3iY2gwGF566SX1cOHChatXr758+bLL5RJC2Gy248ePZ2dnK3tCTZ48WaOpUHv2AgAAAAAAAAACzxDsAAAAANA6WVlZBQUFdXV1QohLly69+uqrTVabN29eRkbGpk2b/BGDzWbbvn379u3btatNmDDhRz/6kT8CcBcKA+JXARjtEB/DjIyMZ555Rt2wbMeOHU2ubZOVlZWamvrxxx9rtxZSz14AAAAAAAAAQICxogwAAEA7YzKZVq9ePWDAgOYqREdHL1q0aMKECYGMqpHY2NgXX3xx7ty5AViQo10MiF+1fbRDfwzvu+++119/PSYmpsl7DQbDggULxo0b55O+AvnsBQAAAAAAAAAEGCvKAAAAtD9xcXFvvfXW6dOn9+7de/To0fPnzwshkpKS0tPTR44cmZmZGRER4aeu58+fX15eXlJScvbs2e+///7SpUvl5eUNDQ0ulysuLq5Pnz7p6emZmZkDBgzQ6QKXkx3EAfGrQI526I/hTTfd9OGHHx48eHD//v1Hjhy5du1afHx8//79x4wZM2LEiOjo6BZbCM1nLwAgkBImjnNUXfuPm3rFS4YfBCmcYOodnXSfLjYwfblcLnVXRyFEdHQ0/2o7jvr6etE+J91W06lfp+CnTfc224ekdQl2FK3z0U7J4fxnOSEicVD8zUo5NqJz0GICAAAA/pMky3KwYwAAAACAsDV79uxDhw7NnTt31qxZwY4ldNXV1VkslqioqNjYAH1ri6Azm80NDQ1KWafTdenSzr4FhNdsNltNTY0kSV27dg12LAgQu91eXV2tHsbHxxsM/Hivo6ioqBBCxMXFBT3rGgETExOjJEgJIV555ZWlS5cGNx4ETE1Njc1mMxqNzS0FivBTW1trtVqVssFgiI+PD248CBiLxVJXV6fX6xMSEoIdCwLEarXW1taqh126dGl3adDwjsvlqqqqEqEx6Waz+c477xRCbNiwIS0trY2t8QwGAAAAAAAAAAAAAABAh8CvNwAAAAAEjsVimTFjhlLOysoaO3ZscOMBAPiJpeyardp8/e12u91cVydJUkSV5fp7EZYcDofZ7een+s71er0+iPGgRQaDMER4s+uQLiFamP49udesUqWtXghhs+gNDj6IDianU7LbA/SjWfcV7G0uW529ttmqrWGyWXWys+V6ntNHCiMLIQAAAHRQvD8BAAAAwtmMGTMslqa/idTr9bGxsTfeeGNaWtrw4cP79esXmG+tnM5/fsDtcrkC0B0AICgOL/zzyTXbgx0FAG/8YMawqAsnvXhg4p8ecfb6d1bEfxd2q7aREhcSkiN7btsrt1zPF6yOf1/kn6s/s/P8Jz5p9p6L33euKPZJU/+UOFB3xy992SAAAADaDxJlAAAAgHDmdDrVxJTr76qsrKysrMzPz9+wYYPRaJw9e/aPfvQjSfLmB8QAAAAAAAAAAIS+AC23CAAAACDENTQ0vPPOO6+88orD4Qh2LAAAAAAAAAAA+AUrygAAAAAdxdatW903V5Jl2Wq1lpSU5OTkHDlyRLmxsLBwxYoVL7zwQpBiBAAAAAAAAADAj1hRBgAAAOgoGu2pJElSdHT0gAEDFi9e/PTTT6u3f/7556dPnw54dAAAAAC8d/XsxT+OnXn525PBDgQAAAAIdSTKAAAAABATJ04cNmyYerhly5YgBgMAAACg1WTZ5XAGOwgAAACgHSBRBgAAAIAQQjz22GNqOTc3V5blIAYDAAAAAAAAAIA/GIIdAAAAAICQ0KdPH/fD6urq+Pj4RnVkWS4pKfn222+PHTt25syZqqoqg8GQnJzcv3//oUOH3nLLLZGRkT4MKcDdAQAAAAAAAADCHokyAAAAAIQQQq/Xm0ym+vp65dBsNrsnypjN5s8++2zTpk01NTXuj7LZbKdOnTp16tSnn34qSdLcuXPHjx8vSVIbg/FVd19++eVvf/tbpZyTk2MymTQ6LSwsfO2115Ty2rVru3Xr1sazAAAAAAAAAACEGhJlAAAAALRs/vz558+f164jy/LKlSu//vrr1157Tadr0zavvupOlmWn0+l5v2pldp4CAAAAAAAAgLBEogwAAAAAIYRwOp3qcjJCiJiYmOvrpKSkTJo0afDgwV27djUajcqjrl69mpeX995771ksFiHE4cOHc3JyHnvssbaHFODuAAAAAAAAAABhr02/8gQAAAAQNhqt4BIXF+d+OHTo0FWrVq1YsWL8+PE33HCDyWSSJEmSJIPB0K1bt/vvv/+DDz4YPHiwUnnjxo1Xr15tSzAB7g4AAAAAAAAA0EGwogwAAAAAIYTIyclRy7fffrskSe73zpo1S/vhUVFRCxcufPzxx61WqxBi586dM2bM8DqYAHfntbq6uq+++kq7jt1uF0I4HA4lVDRJ2fTK5XIxSh2H+7Zosiwz9eGnVTvfAQgpLpfLuwfKsus/D9nLMlTILpcQUsv1Qpmvn04ul8vO5YdPKX86nE4n13Udh/v/Cy7pOxSHwyGY9A5GmXSVzWZr9MkhwpV6SR8Kk67+zfHJGw0SZQAAAACIXbt2HThwQD18+OGHvWjEZDJNmTJl/fr1IiCZKwHurkllZWWvvPKKdp2+ffsKIWw2W21tbUCCasfsdruSV4SORpZlXiDhh5cz0H55nejmdDjdPzsnUSZ0OJ3O9v5dgNf5W81xOp1cfviDzWaz2WzBjgJBwGuqA3K5XEx6h1VXVxfsEBBooTDp9fX1SsEnbzTYegkAAADouGw2W3Fx8bJly1auXKneOHr06EGDBnnXYGZmplK4evWqxWLxQYih1B0AAAAAAAAAoL1r31nkAAAAADw3ZcoU9xUym/yt8IABA1544QWvu4iLi1PL1dXV0dHRXjcVgt0BAAAAAAAAANo7EmUAAACAjkJ7uXKDwfDUU0/de++9Ol2zC0/Ksnz+/PmjR49+9913Fy9evHz5cqPtqN27qKmp6d69e1sCDnB3AAAAAAAAAICwR6IMAAAA0HHFxMSkpqb269fvtttuGzRoUEREhEblgwcPrlmzpqyszMPG27gzfYC7805KSsquXbu06/zqV78SQhiNxi5dugQkqHbJbDZbrdbIyMhOnToFOxYESH19vbpjmk6ni4+PD2488LmoqKhghwDASxEGLz80NkQY3Fcs1Ei/RoAZvJ3T0KHT633bYEREBNfnvlVbkYCuRAAAIABJREFUW2u326Ojo00mU7BjQYDU1dWp78QNBkPnzp2DGw8Cxmq1ms1mvV7vvtAvwpvNZqurq1MP4+PjudLrIFwu17Vr10RoTLr6OYNPImn318cAAAAAPLR161a9t58vr127dvv27b6NJ3S685per+/atat2HeWdmyRJQX8zGcqUTcEYpQ7FfSc4wZep4ajRFANoT7x//fLCD1WSJIQc7CBCDpcfvsUlfQfEJX2HpU49k95xXP96Z/Y7mlCYdN8GQKIMAAAA0FF4/Z3l3r171bQVnU43ceLEkSNH9urVKyYmxmAwSJKktlxaWjpnzpw2xhng7gAAAAAAAAAAHQeJMgAAAAC0OJ3ONWvWKOXOnTuvWLEiISFBo3LIdifLLfyItu3BAwAAAAAAAABCHGsiAQAAANBSWlpqNpuV8nPPPaeRtiKEuHLlSkh1577VVIt5MBUVFZ7FCAAAAAAAAABor0iUAQAAAKDlwoULannQoEHalQ8dOhRS3XXu3Fkt19bWalc+evRoS9EBAAAAAAAAANo3EmUAAAAAaLFarWrZfYGWJmvu2rUrpLpLTExUy99//71GTZvNtnfvXo9CBAAAAAAAAAC0WyTKAAAAANDinmtSUlKiUXPdunUOhyOkuktKSpIkSSl/8sknGjU/+ugjl8vlcZgAAAAAAAAAgHaJRBkAAAAAWlJSUtTyu+++22RuiizLH3300Y4dO0KtO71eP2bMGKV84sSJAwcONFntH//4x8aNG72KFwAAAAgJCTcmP70vp8ctA4MdCAAAABDqSJQBAAAAoCU2Nnb06NFK+fz58/PmzSsoKLBYLMot9fX1BQUF2dnZOTk5QoipU6eGWnePPfaYWl62bNn69euvXbsmy7IQwmq1nj59etGiRe+8845er582bVobgwcAAAAAAAAAhDhDsAMAAAAAEOqysrIKCgrq6uqEEJcuXXr11VebrDZv3ryMjIxNmzaFVHc9evSYMWPG+vXrlcP169erZXe/+c1vbDYb68oAAAAAAAAAQHhjRRkAAAAALTCZTKtXrx4wYEBzFaKjoxctWjRhwoTQ7O7RRx+dM2dOc/cmJiauXLly4EDWqAcAAAAAAACA8MeKMgAAAABaFhcX99Zbb50+fXrv3r1Hjx49f/68ECIpKSk9PX3kyJGZmZkREREh250kST/+8Y/vuOOOffv2HTx48OTJk/X19YmJiTfddNNdd92VkZGh1+t9GDwAQAgRlRAbk9zt+ttlWVb2v9Pp+PlWR6FOuoKpD336TqaIbl29eKAkIvVSjHoYHxktZCGEkCRJkiRfhQcvGHUR3WMDNAXu3RikCKPB5JNmdRGdhDHBJ00ppKhYH7YGAACA9kVyf5sKAAAAAPCt2bNnHzp0aO7cubNmzQp2LKGrrq7OYrFERUXFxvKNRUdhNpsbGhqUsk6n69KlS3DjQcDYbLaamhpJkrp29eZreLRHdru9urpaPYyPjzcY+PFeR1FRUSGEiIuL821SNUJZTExMfX29Un7llVeWLl0a3HgQMDU1NTabzWg0xsTEtFwbYaG2ttZqtSplg8EQHx8f3HgQMBaLpa6uTq/XJyT4MoURocxqtdbW1qqHXbp0If29g3C5XFVVVSI0Jt1sNt95551CiA0bNqSlpbWxNZ7BAAAAAAAAAAAAAAAA6BD49QYAAGjHLBbLjBkzlHJWVtbYsWPbXY+nT5+eP3++Ul61alXPnj3b2KAPhXJsQRFmA3LlypU5c+Yo5SVLlgwZMiS48QAAAAAAAAAAEAAkygAAAB+w2+2PPPKIr1rLyckxmTzdxdzpdCoFl8vlqwAC3KPaYAjuiRnKsQVFWwYkiC+TJsmyrJ4OAACh4+u571R+c6ZVD+lxU8+uhmqNCrmjx++W49oW13+4td55rbjKhw2Gt0ZXHXq9XpKkIMaDQHI4HIJJ72Ds9n+/Uz5rvviPi7tu6hJhEs5Op87L1y61ri1DJ5d+oGHEvT4OEQAAAB0eiTIAAMA3+MYdaBEvEwAAWnT1u7Pl+4+16iGdYmST7YJGhSs331FY58sv6fvY5HMnK3zYIACEDdn17x8VWFy2KmuFS45xyrIwl4uq1uVBClN3WST6OD4AAABACF2wAwAAAAAAAAAAAAAAAAACgRVlAACAD0RERHzyyScaFfbu3fvb3/5WKT/77LPjx48PSFxACOFlAgAAAAAAAABA0JEoAwAAAkGn0zVZbqPo6GjtzAOfC3yP6Dj89DIBAAAAAAAAAAAqPn8HAAAAAAAAAKAdq669+OHfniyrPBXsQAAAAIB2gEQZAAAAAAAAAADaMVkIl8sphBzsQAAAAIB2gK2XAABASHM6nYWFhbm5uceOHSsrK3M4HOnp6cuWLWtjs7IsHz16dN++fd9++21lZaXRaBw4cODw4cPvuOMOk8nkk8gVTqfz0KFD+/fvLygouHr1anx8/MCBA0eNGnX77bdHRka2NuaSkpJvv/322LFjZ86cqaqqMhgMycnJ/fv3Hzp06C233NLaBn0YW7BOwb3ltk9o4AekjcrLy3Nzc48fP37ixAmz2RwdHT1gwID09PRRo0b16tXLuzbtdnteXl5ubu7JkyeVQcjIyLj99tuHDx+u1+s9acEfT9SDBw/m5eV98803165dS0hIGDBgwOjRo2+77Tbv5sUf4wYAAAAAAAAAaC9IlAEAAKHiypUrc+bMUcpLliwZMmTIqVOnlixZUlNT417NbrerZYvFMmPGDKWclZU1duxYT5q9fPnya6+9dvnyZbWOzWbLy8vLy8tbtWpVdnb2D3/4w+aC9KRH1cmTJ5csWVJbW6veUlFRUVFRkZubGxUV9dJLL916660aD1eZzebPPvts06ZNjYbCZrOdOnXq1KlTn376qSRJc+fOHT9+vCRJnrTpq9g85MNT8O2EqgI8IG1UXV395ptvFhYWut9os9ny8/Pz8/Pff//9tLS0l19+OSkpqVXNFhYW/td//VdDQ4N6S0VFxZ49e/bs2RMTE7NgwYKbb75Z4+H+eKIWFhb++te/NpvN6i3l5eVKpktUVNTLL7+cmZl5+vTp+fPnK/euWrWqZ8+ezbXmp3EDAAAAAAAAALQjbL0EAABChSzLzn8RQuTn5//iF79o9I379dSHuFwuT5otKiqaPXu2e1JFo8pvv/32jh072tKjYvfu3S+++KJ74oU7q9W6aNGiL774QqMF1fz589etW6c9FLIsr1y5cvHixdpR+Tw2D/nwFHw+oSIYA9IWhYWFTzzxRKNsj0aKi4ufeuqp3Nxcz5vNy8tbsGCBe5aMO7PZ/PLLL//f//2fRgs+f6L+7W9/W7BggXuWjDur1bpw4cK9e/cKt1elLDe71Lyfxg0AAAAAAAAA0L6wogwAAAhFhw4d2rp1qxCiX79+TzzxRL9+/YxGoyzLZWVlbfkO++jRoxs3bpRledCgQTNnzkxLS1Oaraio2Lhx465du5Rqq1evHjlyZHx8fFs6+v3vf68e3n333VOnTu3Ro4dOp7NYLEVFRWvXrj137tzy5csffvhhD9tMSUmZNGnS4MGDu3btajQahRBOp/Pq1at5eXnvvfeexWIRQhw+fDgnJ+exxx4LcGwBPgX3c2n7hAZxQLxw9uzZBQsWqIcZGRkzZ85MSUmJiIhwOBwXL17Myck5cOCAcu8bb7yxdOnSjIyMFps9dOjQli1bhBDJycmzZ88eMGBAdHS0y+W6fPny5s2bd+/erVT7n//5n549e2ZmZmo05atZPnTo0B/+8Af18L777ps8eXL37t11Op3Vaj1z5syf/vSnoqKi3/72t57Mi5/GDQAAAAAAAADQ7rCiDAAACEVbtmyRZfnBBx9cvnz5LbfcYjKZJEnS6XQ9evRoS7LC+vXrHQ7HzJkz33jjjZtvvlltNikpad68eT/96U/Vmps3b/a6F6fTuWzZMvXwlVdeef7553v37q3X6yVJMhqNQ4YM+d3vfqds2+RJR0OHDl21atWKFSvGjx9/ww03KGFLkmQwGLp163b//fd/8MEHgwcPVipv3Ljx6tWrAYvNQz48BXdtn9BgDYh3nE7n4sWL1cMnn3xy6dKl/fv3j4yMlCQpIiIiNTV1wYIFzz77rFpn2bJlNputxZaVLJk77rhjxYoVGRkZRqNRkiS9Xt+7d+/nnnvutddeU2u+/vrr7tufufPhLNvt9jfeeEM9XLp06TPPPNOrVy9lXqKjo2+66ably5dPnDhReDAv/hs3AAAAAAAAAEC7Q6IMAAAIURkZGU8++aQkSb5tduzYsVOnTm2y2YkTJ3br1k0p79q1S2MPF227d+9WN4uZNWvWbbfddn0dnU73/PPPp6WledLgrFmzkpOTNSpERUUtXLgwKipKOdy5c2fAYvOQD0+hkTZOaLAGxDv/+Mc/KisrlfKECRMeeuihJquNHz9+2rRpStlisXiY35OcnJydna3X66+/a9iwYU8//bTaYHMbMPlwlnft2qWsPSOEmDdvXpOLu0iS9NOf/vSmm27S6FHh13EDAAAAAAAAALQvbL0EAABC1Jw5c3yeJSOE+MlPftLcXZIkTZkyZc2aNUIIi8VSVVXVtWtXL7r461//qhSMRuOkSZM0ups3b152drYXXVzPZDJNmTJl/fr1QoidO3fOmDEjdGLzkIen0EgbJzSUB+R6arRCiCeffFKj5vTp07du3epwOIQQmzdvnj59uk7XQor8vHnzNOrcd999H374YX19vRDio48+euCBB7x7eXo4yxs3blQKnTp1uueee5prTZKk2bNnP/fcc9qd+nXciouLH330Ue06N954oxCivr6+oqJCuyasVqvVag12FAgCl8vFC6SjUbZKbPKu5pYu0+B0OLQreNGmNoevGwSAsKT8XMHhsNtl2eFwNJGVr8npdNZb6+1cJLQrDQ0NDQ0NwY4CQeBwOLik72icTieT3mFVVVUFOwQEWihMuvLptBDC5XK1vTVWlAEAAKEoKSmpd+/ePm82MzMzNjZWo4K6L4zw9sqvsrJSXbviwQcfbHJ9DlW/fv06d+7sRS9NyszMVApXr15VV+MIkdg81OIpXF+/LRMa+gPirqKiory8XCmPHTvWZDJpVI6MjHzggQeUss1mO3v2rHbj0dHR6enpGhX0ev2UKVOUcl1d3eXLlz0M+3otznJFRYW6K9NDDz2kPS+pqanaCW1+HTeFqyWeNAIAAAAAAAAACAwSZQAAQCi64447/NHs8OHDtSvExcWp5WvXrnnRhfs368OGDdOuLEnSXXfd5UUvTXIPvrq6+voKQYzNQy2eQiNtnNDQHxB3JSUlannMmDEt1h8xYoRaLioq0q48ZsyYFleIufXWW9VycXFxiwE0p1VPVDWrRoP2nwu/jhsAAAAAAAAAoN1h6yUAABCKbrjhBn8026NHD+0KkZGRatlms3nRRWlpqVpOSkpqsX7fvn09bFmW5fPnzx89evS77767ePHi5cuXG21Q4r5wRU1NTffu3QMWm4fafgqNtHFCgz4grXLx4kW13KtXrxbruw/OuXPntCv379+/xQbdp+PChQvNVWv7LLufabdu3VoMLC0tTeNev44bAAAAAAAAAKDdIVEGAACEooSEBH80GxUV5Y9m3V26dEkta2/yokhMTPSk2YMHD65Zs6asrMzDMJrM8vFTbB7yySk00sYJDe6AtJZ7tJ5sAhUTE6OW3ZNFmuRJPorRaGwyGHc+meUrV66oZU/mRXvrJb+OmxCiS5cuzz33nHadPXv2CCEiIiLcG0cjNpvNbrcbDIYA/KFGiFAmXSlLkuTJ6x3hwel0WiwWjUnX3nSvSTqdTmjudKfTtbrNFnpsfZAA0CFJQgidTq+XZZ2u1cvbS5IuIiIikqvodsJisTidzoiICPefrCC8Wa1Wh8OhlHU6nfvnBghvDofDarUy6R2KMunqoclkanF1aoQHWZbr6+tFOE46iTIAACAUGQzt9SrF/Yt/Tz4H9OQr4bVr127fvr1NYQkh/BObh3x1Cr4VxAHxgvp1svDsBeJ+Ro3WdLmeJ59jun9t2WSDoflE9eu4CSHi4+NnzpypXSc3N1cIERERwedHGpxOp91u1+v1jFLH4XK53BNlmPqOw2azWSwW8Z8pmO68+Sa1pYfo9T7efNyLIAGgA1K+TNHpdDpZ1ul0cisfrtNJEbqICC4S2gm73e50Og0GA9d1HYfD4SBRpmOyWCxWq5X3cR2K1Wp1/6AsOjqa90QdhMvlUhJlQmHS1aXKfRJJe/0KCgAAIDS5Jxy4XK4WfxLd4jfxe/fuVZMPdDrdxIkTR44c2atXr5iYGIPBIEmSmsddWlo6Z86cQMbmIR+egm8Fa0C8ExERoZadTmeL9d13OGoxxceT9XvcG7w+scaHs+x+pp7Mi3bwfh03AAAAAAAAAEC7Q6IMAACAL3Xv3l0t19fXx8XFadevrKzUuNfpdK5Zs0Ypd+7cecWKFRqbUrWYBODb2Dzk21PwraAMiNfco62trW1xEx+z2ayWe/XqpV25oqKixQCUnw4oevbs6X6X/56oDQ0N7pkuTdKeF7+OGwAAAAAAAACg3WFNJAAAAF/q3bu3Wi4rK2uxfnFxsca9paWl6tf2zz33nEbygRDiypUrgYzNQ749Bd8KyoB4LTk5WS2Xlpa2WN99MFNSUrQrFxUVtdhgeXl5k8EIfz5R3TttztmzZzXu9eu4AQAAAAAAAADaHRJlAAAAfCk1NVUtHz58uMX6n3/+uca9Fy5cUMuDBg3SburQoUOBjM1Dvj0F3wrKgHitT58+avnrr79usX5eXp5a7tu3r3blL7/8UpZl7TruQ3TjjTe63+XbWXZPT/nmm2+0Kwsh9u3bp3GvX8cNAAAAAAAAANDukCgDAADgS4mJiepyGlu3btXeZaaoqKi6ulqjgtVqVct6vV675q5duwIZm4d8ewq+FZQB8Vq3bt0SExOV8t///neLxaJR2W63f/LJJ0o5MjIyLS1Nu/GGhoaTJ09qVHA6nVu2bFHKMTExjfYk8u0sd+vWLTY2Vilv3brV5XJpVD5//rz2qjN+HTcAAAAAAAAAQLtDogwAAICPTZ8+XSnU19fv3LmzuWqyLK9atUq7KfULfiFESUmJRs1169Y5HI5AxuYhn5+CbwV+QNpCjVaW5b/85S8aNbdu3aomr0yePFmna/myf+XKlRopKbt3766rq1PK06ZNkyTJ/V7fzrIkSdOmTVPKNTU1X3zxRXM1ZVleu3atdmvCz+MGAAAAAAAAAGhf+OQXAADAx8aPH28ymZTymjVrjhw5cn0dJfGiqKhIuyn3PWjefffdJjMMZFn+6KOPduzYEeDYPOTzU/CtwA9IW9xzzz3qEjjbtm1rbmmWffv2ffjhh0o5KipKTTrRdu7cuRUrVjSZK1NQULBy5Uq1wYkTJzaq4PNZ/vGPfxwZGamU//u///v48eNNNvj+++8XFBS02Jpfxw0AAAAAAAAA0L6QKAMAAOBjBoPhpZdeUg8XLly4evXqy5cvKykINpvt+PHj2dnZyrf1kydP1mgqNjZ29OjRSvn8+fPz5s0rKChQ946pr68vKCjIzs7OyckRQkydOjWQsXnI56fgW4EfkLbQ6/Wvvvqqerhy5cply5adO3dOSUxxOp0XLlxYvnz522+/rdb51a9+FR0d3WLLkyZNEkLs2bPn5z//+XfffWez2YQQLperrKxs7dq17p3Onz9fTWFR+XyWIyMjs7Oz1cNf/vKX69atKysrU+fl1KlTL7/88ubNm4UH8+K/cQMAAABCRHxs75mT30/qOjDYgQAAAADtgCHYAQAAAIShjIyMZ555ZvXq1crhjh07mlxIIysrKzU19eOPP9ZoKisrq6CgQNn15tKlS+7f97ubN29eRkbGpk2bAhmbh3x+Cr4V+AFpi379+i1evHjx4sVKysiBAwcOHDjQXOWf//znQ4cO9aTZESNGDB48+M033ywuLnbPHGrkJz/5yfDhw5u8y+ezPHLkyJkzZ77//vvK4bZt27Zt29ZkvykpKeq8NNoTSuWncQMAAAAAAAAAtDusKAMAAOAX99133+uvvx4TE9PkvQaDYcGCBePGjWuxHZPJtHr16gEDBjRXITo6etGiRRMmTAh8bB7yxyn4VoAHpI0yMzP//Oc/Dxo0SKNOnz591q5de9ddd3ne7JgxYxYtWnT9ajEKo9G4dOlSjbVb/DHLU6dOXbhwYXMru+j1+pdffnncuHHu20UZDM3+EsBP4wYAAAAAAAAAaF9YUQYAAMBfbrrppg8//PDgwYP79+8/cuTItWvX4uPj+/fvP2bMmBEjRni+sUtcXNxbb711+vTpvXv3Hj169Pz580KIpKSk9PT0kSNHZmZmRkREBCu2IJ6CbwV4QNooISHhzTffLCsr++qrr44dO3b8+PG6ujqTyTRw4MD09PRRo0YlJyd70eytt96ak5Nz4MCB3NzcEydOXLt2rXPnzpmZmbfffvuIESP0er32w/0xy0OHDv3LX/6yf//+vLy8goICdV5Gjx49cuRIZV6qq6vV+s1lOyn8NG4AAAAAAAAAgHZEkmU52DEAAAAAgJc2b9783nvvKeWPP/64ud2Xgmj27NmHDh2aO3furFmzgh1L6Kqrq7NYLFFRUbGxscGOBQFiNpsbGhqUsk6n69KlS3DjQcDYbLaamhpJkrp27dpkhcrDp23V5la1GRGpN5q0KlR0SiiP0kqmbC2jxaGzOn3YYHhzOBxm87/ntFOnTi0m4CJsKDnNMTExGiv/IcwMvS2twfLPf/Ev/OrnL7023xThihLCUFcv2+2ta8sli4gEqUsP30cJP6ipqbHZbEajUfsHDAgntbW1VqtVKRsMhvj4+ODGg4CxWCx1dXV6vT4hISHYsSBArFZrbW2tetilSxedjo1rOgSXy1VVVSVCY9LNZvOdd94phNiwYUNaWlobW+P9CQAAAIB27Msvv1QKqampIZglAwBora639vd5mzFCpPi8UXjMbre7rwAXHx9PzkTHUVFhEELExcUFfQlJBIyk+/c1eYzB1M3Y/Z8H8YKLdQAAAIQIUr0AAAAAtFcVFRXFxcVKedy4ccENBgAAAAAAAAAQ+vj1BgAAAAAtFotlxowZSjkrK2vs2LHBjUcly/KqVavUw+HDh7exwdOnT8+fP18pr1q1qmfPnm1sEAAUpZ8dqim6GOwoQoXD4bBYLJIklYfGvgyJvY162dNNlCLvu8F9pQR4yOlyugwN6qHFZdI5+PFeODhTE1lllbXr1NXVCSGMlgr222pH9KV6W7nD64e7nP9+VlyzXz1Tc1qS5Rur+D/YBCkhTcSz5BkAAEAQkCgDAAAAhJYZM2ZYLJYm79Lr9bGxsTfeeGNaWtrw4cP79esXmK8cnM5/foPocrkC0J0QQpbldevWPfLII7Gxsc2F9Mc//jE/P185HDlyZI8ePdrer3qmstzCtz4A4LnT/7uzeP0/gh0Fmjbm/7vZfu6ch5W7jJsoC0+zavAfIv9drPX++3eEltwrKUcqqoIdBXwv5UDiya+ueP1wh+PfbxnKrZePVOTpJF3qN5/5IrSwc9NUiUQZAACAYCBRBgAAAAgtTqdTTde4/q7KysrKysr8/PwNGzYYjcbZs2f/6Ec/kqQw/HX7xx9//PHHH99999133313SkpKp06dJElyOp01NTXffPNNTk5OWVmZUlOv18+ZMye40QIAAAAAAAAA2gUSZQAAAID2qqGh4Z133tmzZ8/ixYsNhvC8tt+zZ8+ePXs0KhgMhjfffDMhISFgIQEAAAAAAAAA2q/w/DAdAAAACA9bt25131xJlmWr1VpSUpKTk3PkyBHlxsLCwhUrVrzwwgtBijGYMjMzf/GLXzS3PRMAAAAAAAAAAI2QKAMAAACErkZ7KkmSFB0dPWDAgMWLF2/fvn3t2rXK7Z9//vnEiRP79+8fjBj9QpKkjz766Pvvvz9+/HhRUdGFCxeqqqpqa2sNBkNiYuKgQYMGDRo0cuRIFpIBAABAR3b17MXNs16a+M6CHrcMDHYsAAAAQLtBogwAAADQLk2cOPHw4cP5+fnK4ZYtW375y18GNyTfMhqN6enp6enpwQ4EAAAACFWy7HI4gx0EAAAA0M7ogh0AAAAAAC899thjajk3N1eW5SAGAwAAAAAAAABA6GNFGQAAAKC96tOnj/thdXV1fHz89dXKy8tzc3OPHz9+4sQJs9msbN6Unp4+atSoXr16+TAeWZZLSkq+/fbbY8eOnTlzpqqqymAwJCcn9+/ff+jQobfccktkZKTXLR89enTfvn3ffvttZWWl0WgcOHDg8OHD77jjDpPJ5GEjTqfz0KFD+/fvLygouHr1anx8/MCBA0eNGnX77bd7HRgAAAAAAAAAoH0hUQYAAABor/R6vclkqq+vVw7NZnOjRJnq6uo333yzsLDQ/UabzZafn5+fn//++++npaW9/PLLSUlJbYzEbDZ/9tlnmzZtqqmpadTXqVOnTp069emnn0qSNHfu3PHjx0uSpNHUlStX5syZo5SXLFkyZMiQy5cvv/baa5cvX3ZvNi8vLy8vb9WqVdnZ2T/84Q9bjPDkyZNLliypra1Vb6moqKioqMjNzY2KinrppZduvfXW1p0zAAAAAAAAAKAdYuslAAAAIDwVFhY+8cQTjbJkGikuLn7qqadyc3Pb2Nf8+fPXrVvXKEumEVmWV65cuXjxYpfLpV3N+S9CiKKiotmzZ7tnyTSq/Pbbb+/YsUM7vN27d7/44ovuWTLurFbrokWLvvjiC+1GAAAAAAAAAABhgBVlAAAAgPbK6XSqy8kIIWJiYtTy2bNnFyxYoB5mZGTMnDkzJSUlIiLC4XBcvHgxJyfnwIEDyr1vvPHG0qVLMzIy2hhPSkrKpEmTBg8e3LVrV6PRqER49erVvLy89957z2KxCCEOHz6ck5Pz2GOPedLg0aNHN27cKMvyoEFElUyvAAAgAElEQVSDZs6cmZaWZjQaZVmuqKjYuHHjrl27lGqrV68eOXJkk9tOKY38/ve/Vw/vvvvuqVOn9ujRQ6fTWSyWoqKitWvXnjt3bvny5Q8//HAbRwAAAAAAAAAAEOJYUQYAAABor86fP+9+GBcXpxScTufixYvV25988smlS5f2798/MjJSkqSIiIjU1NQFCxY8++yzap1ly5bZbDavIxk6dOiqVatWrFgxfvz4G264wWQySZIkSZLBYOjWrdv999//wQcfDB48WKm8cePGq1evetLs+vXrHQ7HzJkz33jjjZtvvllpVqfTJSUlzZs376c//alac/PmzU224HQ6ly1bph6+8sorzz//fO/evfV6vSRJRqNxyJAhv/vd78aOHavRCAAAAAAAAAAgbLCiDAAAANBe5eTkqOXbb79dkiSl/I9//KOyslIpT5gw4aGHHmry4ePHj79y5crGjRuFEBaLZfPmzTNmzPAuklmzZmlXiIqKWrhw4eOPP261WoUQO3fu9LCvsWPHTp06tcm7Jk6cuG3btvLyciHErl27Zs2apY6Aavfu3WazWQ3ytttuu74dnU73/PPPnz17tri42JOQ3JWXl69evVq7jrLqj81mq6ura237HYfdbhdCOBwORqnjcDgcalmW5fCeeveTRajR3hAQgAZlo0yEH2Y2YGw2mz2MLoGUZ47dbg/v6zq4c7/KdblcTH3Hobzew/59HNw1ujwwm83XfwqHsCTLslIIhUlX11b3yRt5EmUAAACAdmnXrl3q3klCCPdtg/7617+q5SeffFKjkenTp2/dulX5bGvz5s3Tp0/X6fy16qTJZJoyZcr69etFaxJlfvKTnzR3lyRJU6ZMWbNmjRDCYrFUVVV17dq1UR11KIxG46RJkzSamjdvXnZ2tichuautrf3kk0+06/Tt21cI4XA4lM2noMHpdPLFTMcky3J4v0B4Yocyl9yKz9dkWRZ8Ggz8i/qhOcIMGYQBY7fbw+8SyOFwkCLcMblcrvB7PkMbk96RKT+EQ4cSCpPu2785bL0EAAAAtCc2m624uHjZsmUrV65Ubxw9evSgQYOUckVFhbLIihBi7NixJpNJo7XIyMgHHnhAbfns2bN+CfpfMjMzlcLVq1c9eWOTmZkZGxurUUHdzkkIUVVV1ejeyspKdWWdBx98UK/XazTVr1+/zp07txgSAAAAAAAAAKBdY0UZAAAAIHRNmTLFfU3LJtckGDBgwAsvvKAelpSUqOUxY8a02MWIESO2bNmilIuKitLS0rwPtyVxcXFqubq6Ojo6Wrv+8OHDPW/w2rVrje51z/sZNmyYdlOSJN11110tLg8DAAAAAAAAAGjXSJQBAAAAQpf2sucGg+Gpp56699573fdLunjxolru1atXi1306NFDLZ87d86rMP9JluXz588fPXr0u+++u3jx4uXLlxutyel+OjU1Nd27d/c8tiZFRkaqZZvN1uje0tJStZyUlKTdlPjXHkmtEhkZ2WJqkbKSjSRJ2kvadHAul0uWZUmS/Lf5F0KNMunqYXi/QIK+jTc0SELyfPMYSQh2mgEQ9vi3FTA6nS6cLoG4pO+AOtQlPdzJsqx8wsOkdxzqpCt0Oh0XDB2H8tPNUHi9+zYGEmUAAACA9iQmJiY1NbVfv3633XbboEGDIiIiGlW4dOmSWvZkL6GYmBi17J5k01oHDx5cs2ZNWVmZh/Wvz2u5XlRUlNfxiP8cCu0tqBSJiYmt7SI5OXnDhg3adWbPni2EMBqNCQkJrW2/46irq7NYLJGRkdqbbSGcmM3mhoYGpazT6cL7BeKe1YdQo9frtZJSG+GzYMCNwcBny+GJmQ0Yo9FoCqNLoJqaGpvNFh0d7f4eE+GttrZW/XmMwWCIj48PbjwIGIvFUldXp9frw/t9HNxZrdba2lr1MD4+nrTIDsLlcin73cfFxQV90tVPV3wSCZe8AAAAQOjaunVrazPl7Xa7WvbkM2739xWNFoDx3Nq1a7dv3+7dY/3HPRfHk7dPbczLAQAAAAAAAACEPhJlAAAAgNDlxSqm7mvMKAtjanNfN9W7TJG9e/eqWTI6nW7ixIkjR47s1atXTEyMwWCQJEk9i9LS0jlz5njRhXfcl3BwuVwtphx5nScEAAAAAAAAAGgvSJQBAAAAwkr37t3Vcm1tbYurXpvNZrXcq1ev1nbndDrXrFmjlDt37rxixQqNdXc9SdzxIfehqK+vj4uL065fWVnp54gAAAAAAAAAAEHG5mEAAABAWElOTlbLpaWlLda/cuWKWk5JSWltd6WlpWqqzXPPPae9O7V7XwHQu3dvtVxWVtZi/eLiYn+GAwAAAAAAAAAIPhJlAAAAgLDSp08ftfz111+3WD8vL08t9+3bt7XdXbhwQS0PGjRIu/KhQ4da235bpKamquXDhw+3WP/zzz/3YzQAAAAAAAAAgBBAogwAAAAQVrp165aYmKiU//73v1ssFo3Kdrv9k08+UcqRkZFpaWmt7c5qtaplvV6vXXPXrl2tbb8tEhMT1RVutm7dqr3xU1FRUXV1dUDiAgAAAAAAAAAEDYkyAAAAQLiZPn26UpBl+S9/+YtGza1bt6qZLpMnT9bpWv0GQU3KEUKUlJRo1Fy3bp3D4Wht+22kDkV9ff3OnTubqybL8qpVqwIVFAAAAAAAAAAgaEiUAQAAAMLNPffco66ksm3btubWcdm3b9+HH36olKOioqZNm+ZFXykpKWr53XffbTIVRpbljz76aMeOHV6030bjx483mUxKec2aNUeOHLm+jpIlU1RUFNjQAAAAgLZKuDH56X05PW4ZGOxAAAAAgPaERBkAAAAg3Oj1+ldffVU9XLly5bJly86dO6dksTidzgsXLixfvvztt99W6/zqV7+Kjo72oq/Y2NjRo0cr5fPnz8+bN6+goEDd76m+vr6goCA7OzsnJ0cIMXXqVK9PyjsGg+Gll15SDxcuXLh69erLly+7XC4hhM1mO378eHZ2tpJLNHny5ACHBwAAAAAAAAAIMEOwAwAAAADge/369Vu8ePHixYuVjJADBw4cOHCguco///nPhw4d6nVfWVlZBQUFdXV1QohLly655+i4mzdvXkZGxqZNm7zuyDsZGRnPPPPM6tWrlcMdO3Y0ubZNVlZWamrqxx9/HNjoAAAAAAAAAAABxYoyAAAAQHjKzMz885//PGjQII06ffr0Wbt27V133dWWjkwm0+rVqwcMGNBchejo6EWLFk2YMKEtvbTFfffd9/rrr8fExDR5r8FgWLBgwbhx4wIcFQAAAAAAAAAg8FhRBgAAAAhbCQkJb775ZllZ2VdffXXs2LHjx4/X1dWZTKaBAwemp6ePGjUqOTnZJx3FxcW99dZbp0+f3rt379GjR8+fPy+ESEpKSk9PHzlyZGZmZkREhE868tpNN9304YcfHjx4cP/+/UeOHLl27Vp8fHz//v3HjBkzYsQI77adAgAP9fhhhj46MthRhAqXy2Wz2SRJioqKCnYsQghhGtJFSu/nYWWjrr/QyX6NJywpk64eRkZG6nT8eC8cDIjrbNTHa9dRduRk0tuXmMFRSVGdvH74X3dIwvnPcmdDfGpsX0kIKWWMb4ILM51983YMAAAArSXJMm/vAQAAAMBfZs+efejQoblz586aNSvYsYSuuro6i8USFRUVGxsb7FgQIGazuaGhQSnrdLouXboENx4EjM1mq6mpkSSpa9euwY4FAWK326urq9XD+Ph4g4Ef73UUFRUVQoi4uLigp00jYGJiYurr65XyK6+8snTp0uDGg4Cpqamx2WxGo7G5tTwRfmpra61Wq1I2GAzx8S1kTyJsWCyWuro6vV6fkJAQ7FgQIFartba2Vj3s0qULadAdhMvlqqqqEqEx6Waz+c477xRCbNiwIS0trY2t8QwGAAAAAAAAAAAAAABAh8CvNwAAAOB7FotlxowZSjkrK2vs2LHBjacdKSsrO3LkyLFjx86cOVNWVuZyueLi4m644YbU1NT09PSBAwfGxcUFO0YAQLvntNplh7Plen7gsNmc9VZJkhzRlqAEECCy0Gl96ibrInzz6zVZpxOS5PXDXbJwuHwSSBNkWVJWsrbbnRa3bhrsToPsfcz+IzldkgjFwNo1m9UphLBaHC4nY9sRuWSXQ3Z4/XBJSHpJ78N4AAAAAAWJMgAAAC04fPiw+2LRL7744qhRo4IYT3vhdP7z6zeXy29fv4SX4uLid999t6ioqNHt5eXl5eXlhw8f3rJlixCiT58+DzzwwJgxY0wmUzDCBACEg0ML/vjdbzcFO4pw1v2WG1LjrjV3b2T3zmkzfPOhXMWEHzlFvdcPP3Ut+S9nqluu55XkiF7bvmhP14GjTlTWXA3r/C0gIJTsKMUZ88lt33/kdVPxkQn3JP/YF0EBAAAA/4GtlwAAAFqwefNmp5sNGzYEOyKEG1mW169f/7Of/ez6LJnrlZSUvPvuu88880wAAgMAAAAAAAAAIMywogwAAICW6urqwsJC91uKi4srKioSExODFRLCz/bt29evX68eDhky5OGHH+7bt2+nTp10Op3L5aqpqSkpKdm7d++ePXuCGCcAAAAAAAAAAO0diTIAAABa9u3bd/2Ne/bsmT59euCDQVi6cuXKH/7wB/Vw0aJFt956q3sFvV6fkJCQkJCQkZExe/bsv/3tbzk5OQEPEwAAAAAAAACAcECiDAAAQLNkWVY3Who8eHB0dPSRI0eEEFu3bp02bZpOxy6WzYqOjv7kk0+CHUX7sHHjRrX87LPPNsqSaSQ6OnratGn3338/W4ABAAAAHVZ17cW/7X1l/KiXkroOCHYsAAAAQPvDtzsAAADN+v7776urq5Xyww8/PHnyZKVcX19/6tSp4MWF8CHL8u7du5WyTqe7++67PXmUyWR64okn/BgWAAAAgBAmC+FyOYWQgx0IAAAA0C6xogwAAECztm/frpZ/8IMf6HQ6nU7ncrmEEB9//PGgQYOCFxrCRE1NjfKMEkIMHjxYr9cHNx4AAAAAAAAAAMIbiTIAAABNs9ls6lIfY8eOjYyMFEJMmDBhx44dQojc3Nz6+nqTyeRFy06n88iRI/v27Tt+/HhlZWVcXFx6evq4ceMyMjIkSWpUuaqq6osvvsjLyzt37pzdbr/xxhuHDx8+fvz4uLi41nb63XffHTly5NixYyUlJQ6Ho2vXrkOGDPnBD34wfPhw5exa22BhYWFubu6xY8fKysocDkd6evqyZcta247K5XKdPHnym2++OXHixJkzZywWS2xsbL9+/X7wgx/cfvvtiYmJ2g+XZbmkpOTbb789duzYmTNnqqqqDAZDcnJy//79hw4desstt3hxjmrLR48e3bdv37fffltZWWk0GgcOHDh8+PA77rjDuyeAu4aGBrXcuXPnNrbWiJ/GJChP4PLy8tzc3OPHj584ccJsNkdHRw8YMCA9PX3UqFG9evXysBH/PUkAAAAAAAAAAO0FiTIAAABNO3jwoFr+8Y9/rBTuvfdeJVFGCLF///6xY8dqN3LlypU5c+Yo5SVLlgwZMqS4uPi1116rqalR61RWVn755ZdffvllSkrKr3/969jYWOV2p9P5xz/+8dNPP3Vv8MSJEydOnPjggw+ysrLGjRvnyYnIsrxz585169ZZrVb320tLS0tLS3ft2qXX659++ul77733+iyH5s7i1KlTS5YscT8LIYTdblfLFotlxowZSjkrK0t7oJTth/74xz+6Z40IISorKysrKw8cOLBmzZphw4Y9/fTTPXr0uP7hZrP5s88+27RpU6N4bDbbqVOnTp069emnn0qSNHfu3PHjxzd3js2d6eXLl1977bXLly+7N5uXl5eXl7dq1ars7Owf/vCHGg22yGD49wX52bNn29KUO1+NSSg8gaurq998883CwsJGJ5Kfn5+fn//++++npaW9/PLLSUlJARgQAAAAAAAAAEB7pwt2AAAAACFq48aNSsFkMvXv318pp6amqst+bNiwocVGZFl2/osQorCw8Gc/+1mjr+pV586de/755202mxDC4XD88pe/bJRk4G7FihWfffZZiwHU19e/+OKLq1evbpQl487pdK5evXrp0qVKkC2eRX5+/i9+8YvmzsK9WYW6tVCTzGZzdnb2ihUrGmXJNJKfn//00083edf8+fPXrVunHY8syytXrly8eLF2MI3OtKioaPbs2e5ZMo0qv/3222rilHfcF1a5dOlSeXl5W1pT+WpMgv4ELiwsfOKJJxplyTRSXFz81FNP5ebmatTx4ZMEAAAAAAAAANCusaIMAABAEyoqKoqLi5Xy5MmT1RUmJEmaMmXK//7v/wohSktLL1261LNnTw/b/OabbzZv3iyEGDZs2P/7f//vhhtuiIiIsNvtxcXF77zzTmlpqdLvn/70p2eeeWb58uWnTp2KioqaNWvWiBEj4uLiJEmqqanZuXNnTk6O0uCKFStGjhzZqVOn5nq0Wq3PP//8lStXlMNu3bo9/vjjt9xyS+fOnSVJslqtp06d+sMf/nDu3DkhRH5+/vLly+fPn699FocOHdq6dasQol+/fk888US/fv2MRqMsy2VlZdqZCk1qaGjIysqqqKhQDqOjox955JExY8Z07drVYDDIslxbW1tSUvLZZ5/t3btXu6mUlJRJkyYN/v/Zu/eAqOr8f/zvMzPMDWFALt6BUBEvSHhLTM1QcTVLU/sa7UpJGRqZbZZb6ZaIrpvprmlqoksfL6hJeMtES828/ErEC4kKSgQICMh9YBhm5sz5/XHa0ywyZwbmCjwff73OnPe8z+u8z0Hn8pr3e+BALy8vmUxGCKFpurq6Oj09fdeuXWq1mhBy7dq15OTkefPmmZNbVlZWSkoKwzDBwcHR0dGBgYHsmVZUVKSkpJw6dYpttm3btvDwcA8Pj9aeO8vFxSU4ODg7O5vdTEhIWLt2raura9t6a8a6Y2L/Gzg/P3/58uXcZmhoaHR0tL+/v4uLi06nKy4uTk5Ovnz5Mrv3k08+SUhICA0NtduAAAAAAAAAAAAAAEB7hBllAAAAAFpw5swZLn766acNdz311FNczFVLmCMlJUWv1y9cuPCjjz7q27evWCymKEosFgcHB2/atIlbOCYtLW3//v2XLl3q2bNnUlLS1KlTPT09BQIBRVEKhWLu3LlLly7l+vzmm294jrhp0yauSmbatGmJiYnjx4/38PBge5NKpUOHDv3ss88iIyPZNhcvXuSfuoMQcujQIYZhZs6cuWHDhqFDh8rlcoqiBAJB9+7dZ8+ebf5osDZs2MBVyYSGhv7f//3fnDlzunfv7uLiwnarUChCQkLeeeedPXv2TJ06tcVOhg8fvnXr1s2bN0dGRvbp04dNiaIokUjk4+PzzDPP7NmzZ+DAgWzjlJSU6upqc3Lbv3+/TqeLjo7+5JNPhgwZwp2pr69vXFzcggULuJZs+UibvfTSS1ycn5//l7/8Zc+ePcXFxQzDtLlPW4yJnW9gmqbj4+O5zfnz5yckJPTv3589rouLS0BAwPLly998802uzZo1a9j5bOwzIAAAAAAAAAAAAADQHmFGGQAAAIDm9Hr9oUOH2Lhnz57du3c33Ovl5RUYGMjON3P8+PF58+YJhUIze546deq0adMefVwsFr/xxhsrV65kN/fv308IWbt2rZub26ONx48fv3fvXrYC5sSJE1FRUS0eKzc398KFC2w8atSo2NhYbl4cQwKBIC4u7u7du/n5+YSQjRs37ty5s8WWnNDQ0Pnz5/O3MUdWVlZ6ejob9+vXb+XKlTwjqVAoFi1a1OKumJgY/gNJJJKPP/745ZdfZtefOnnypLFBayYiImLOnDkt7po+ffqRI0fYlZJOnToVExPT5gF5/PHHw8PDf/rpJ3aTpumUlJSUlBShUDh8+PCQkJCgoKDevXu3eDMYY6MxsecNfPbs2crKSjaeMmXK888/32KzyMjIsrIydqE0tVqdmpraYoe2u0kaGxtv3brF30ar1RJCaJpmA2gRu+KVXq/HKHUezZY5w6W3MywzZ2sMaXvBa+sOxBBiwYsyvQWFuSZZUvXrEO0tX4COj2EYvEJoR9h/9vGSvlMxfEmJP9hOhV2hGxe9U2EvOker1QoEmI+jU+De1ul0Osu/EbAQ92+OVd5solAGAAAAoLmcnJzGxkY2brFOYvbs2Z9++ikhRKPRZGVl8a/2Yujll182tmvIkCGGm7NmzfL09GyxJUVRzzzzTFJSEiGktrZWqVS2WI6wb98+Ll6yZAnPq1iKohYvXszO8/Hw4cOioqI+ffrwnMXChQut8pqYW4KHELJs2TLz643aQC6Xz5o1iy3gML8G4tVXXzW2i12Ea/v27YQQtVpdVVXl5eXV5vSWLVuWmJiYlpZm+CBN0+np6Vwtkbe3d2RkZEREBDd3i4XaMCb2vIEPHDjAxfPnz+fJau7cuYcPH9bpdISQ1NTUuXPntu2NettukgcPHixcuJC/Td++fQkhTU1NtbW1bUisU9FqtRilzkmv1+PS2xlbFwi2o9fzfWzHv7dVGEZvSaFMs8+7rUun0xFiwxd4VscwKCADcC40TeMVQrvT1NSElxmdE/5gOyG8j+vMlEqlo1MAe6urq3N0CkSlUrGBVQplUOoFAAAA0NyxY8e4ePTo0Y82GDlyJBdzc8+YNGLECLlcbmyvWCzu1q0btzlx4kSeroKCgri4pqbm0QaNjY0ZGRls/NRTT5mcjKRfv34ymYyNualNWuTr69urVy/+3syhVCq5eTjCwsKaTdtjC2FhYWxQXV2tVqvNac8/btxKPYSQqqoqS3ITCoWLFi3atGkTl+SjKioq9u3b99prr61atcpab0taNSb2vIErKirY2XoIIRERETzHZQ/93HPPsbFGo2HnRmqb1t4kAAAAAAAAAAAAANDuoFAGAAAA4H+oVKpLly6xcVhYWJcuXR5tI5VKn3zySTa+fv26mRX0w4cP52/Qs2dPLu7RowdPS4VCwcUt1hkY1gqMGzfOZG4URYWEhLBxdnY2T0tzejOHYYaTJ0+2Sp/8DAfNnN+7GJZDmeywxavQWgEBAfHx8Xv27Hn33XdHjRplbIqdjIyM6Ojo27dvW37EVo2JPW/gwsJCLh47diz/ccn/FrTl5uaabG9OYvhRFAAAAAAAAAAAAECHhKWXAAAAAP7Hzz//zMUzZsww1mz69OlcPc2FCxemTZtmsmfD+TZaxE2bIZFIRCK+12kSiYSLW1wMuKioiIv9/PxM5kYI6dOnD7vKT05ODn8zc3ozybASIiAgwPIOGYa5f/9+VlbWrVu3iouLS0tLm832bLhydl1dncnLYXKSG7FYzMUajab1KbdMoVCMHz9+/PjxDMMolcqSkpJbt26dPn26uLiYa6PX699///0dO3bwn4V1x8SeN7DhyRrW3xhjeLEKCgqMNbP6TQIAAAAAAAAAAAAA7Q4KZQAAAAD+x1dffcUGAoFg6NChxpoFBweLxWK2POLrr7+eOnUqRVH8PRsWB7RIIPh9tj+pVNqKjFty//59Ln7rrbfYntmVOxmG4QJCiF6vZwOaptn2SqWSYRhjp+Pp6WlhbqySkhIuNpzGo22uXLmyffv28vJyM9ubU9di8nrZGkVR7u7u7u7uwcHBs2fPLi0t/eKLL65du8Y1WLt27caNG4093epjYs8b+MGDB1zs7u5usr2rqysXGxbZGLLFTUII6dWr1969e/nbrF+/nhAilUo9PDzMPHonpFKpNBqNWCzmX2kLOpLGxkauWE0gEJjzxw5W5PD/5jo8gYDvlSH/3tYdiBLQFjydv7bVQiKRiBArrBxvNxSFubcBnItQKMRL6HakoaFBq9VKJBJuZWfo8Nj3cWwsFApNLvwNHYZGo1GpVHgf16mwF53bdHd35z4JhI5Nr9fX1dUR57joLi4ubGDyuxhzoFAGAAAA4A/FxcXcN/RTpkzh+eZAKBROnz790KFDhJCKiorCwkJ/f39rpWH5K87GxkYuVqvVFvZmyFrfphhWIXAvcNsmMTHx+PHjFmfk7Lp3775y5cpdu3alpqayj+Tl5ZWUlLQ44Ypjx8TyG9hwmhlzbjnDIzabJIZluwGRSCTBwcH8bdhVtAQCgU2/jGzv2ItIURRGqfNo9m8FLr2dOfzjrQ6PIlYrhTF5JMc921TnFNXeCmUcnQEA/C+8OGxf2K+s8ManUzH8nhJ/sJ2KTqcjuOidDPcbS5ZIJMKbyk6Cm4HbGS46928OCmUAAAAArOz777/n4rS0tO+++46nseEqLSdOnFi0aJENM2sl53+barhukVarbfMcJOfOneMKIAQCwfTp08PDw3v27Onq6ioSiSiK4l40l5SULFy40MK0HW7evHlnz56trq5mN2/fvv1ooUwHGBPD2qlm78NbZPjH+OgcCR1gQAAAAAAAAAAAAADAWpz9GxQAAAAAu6Fp+tixY80eMfO5p06deu211yycGcWKunXrxsX79+83XJjGSRiWd9TV1bVtel6aprdv387G7u7umzdv5lkZyvyr6cwEAsG0adOSk5PZzd9++61Zg44xJoY3sFKpNHkDNzQ0cHGzyqGOMSAAAAAAAAAAAAAAYC2YEwkAAADgdzdv3mQnDm0DvV5//fp16+Zjiccee4yLHz586MBMjPHz8+PigoKCtnVSUlLCVUi89dZbPAUQhJCysrK2HcXZ9O7dm4sN19hidYwxMTzHkpISk+0NT6TZImgdY0AAAAAAAAAAAAAAwFowowwAAADA71JTU7n4wIEDcrnc5FNomp4zZw47C8XXX389atQoG+bXGgEBAVx89epVw00nYZjS6dOnx4wZ04ZOioqKuDg4OJi/8dWrV9twCCdUX1/PxQqFotnejjEmhnVUP/3007Bhw/jbp6enc3Hfvn0Nd3WMAQEAAAAAAAAAAAAAa8GMMgAAAACEEFJXV5eZmcnGI0aMMKdKhhAiFEVqBoIAACAASURBVAojIyPZODs7u7q62lb5tZJCoRg4cCAbHzx4sM0z5diOm5sbV7WQkZHRtpk8mpqauFgoFPK3PHXqVBsO4YSuXLnCxUFBQc32dowx8fHx8fb2ZuPvvvtOrVbzNNZqtdyiaWKxODAw0HBvxxgQAAAAAAAAAAAAALAWFMoAAAAAEELIhQsXuHjatGnmP3HSpElc/MMPP1gzJ8tER0ezQWNj444dOxybTIvmzZvHxRs2bNDr9a3tgaulIIQUFhbytExKSnLCaiFCiEqlOnLkiFarNbN9SUmJ4ewpj06R0gHGhDV37lw2YBhm3759PC0PHz7MVcPMmDFDIPif9zgdZkAAAAAAAAAAAAAAwCpQKAMAAABAGIY5ePAgtzl06FDzn9u3b1+JRMLGqampDMNYObm2Gjx48NixY9k4LS0tKSmJXSKKR0VFxZ49exoaGmyfHSGEhISEjBgxgo2zs7NXr17NM3FIQ0PDf/7zn2YP+vv7c/Hnn3/eYpUDwzBfffVVWlqaNVK2iaSkpKioqNTUVJVKxd+ytLR02bJl3GZ4eLinp2ezNh1jTAghkyZN4s7uyJEjxuZ6OX/+/N69e9lYIpG88MILzRp0mAEBAAAAAOB4uPWKnrHb12uAoxMBAAAAAGiXUCgDAAAAQAoKCrhVk5588kmxWGz+cwUCwZQpU9hYqVTm5uZaP7+2WrJkSY8ePdj4yJEj8+bN+/bbb0tLSzUaDfugXq9vaGgoKCg4efLk22+/HRMTk5KS0oaZXdrs3Xff5YohMjIy5s+f/80331RUVLA1PQzDNDQ05OTkbNmyJSoq6ujRo82e7ubm9uSTT7Lx/fv34+LiMjMzuWoblUqVmZm5dOnS5ORkQsicOXPsdFatp9Fodu3a9eKLL65evfrixYvFxcXcWTAMo1KpsrOzN27c+Prrr9fV1bGPu7m5LVmy5NGuOsyYCIXCv//979zmli1b1qxZU1BQwFa60DRdVFS0YcOG9evXc23ef/99qVTarJ8OMyAAAAAAAAAAAAAAYBUiRycAAAAA4HjffvstF//pT39q7dMjIiKOHTvGxt98880777xjtcwsI5FIPvvss4SEhJs3bxJC6uvrt2/f7uik/odcLv/888/ff//9+/fvE0IaGhp27NjRqoWiFi9enJmZWV9fTwh58OCBYWmFobi4uNDQ0K+//toqadtOenq64cpKxnh6eq5fv14ul7e4t8OMSb9+/eLj4+Pj49nircuXL1++fNlY43feeWf48OEt7uowAwIAAAAAAAAAAAAAlsOMMgAAANDZaTSa7777jo0piho0aFBre3jsscdkMhkbnzt3jmf9IPuTSqWrV69esWKFQqHgb0lRVGRk5ObNm93c3OyTG8vNzW3z5s0xMTEiEV8Nd2ho6NatWx99XC6Xb9u2LSgoyNgTpVLpypUruVl/nI1cLk9KSoqJienVq5c57WUy2YIFC3bu3Onj48PTZ7seE0NhYWFffvllcHAwTxs/P7/ExMQJEyYYa9CRBgQAAAAAAAAAAAAALIQZZQAAAKCzu3btGsMwbDxhwgQXF5fW9kBR1LRp01JTU9nNK1eujBs3zpopWoaiqFGjRu3evbuwsPDKlSv37t27e/duTU0NIcTX17dPnz59+/YdOnRoUFBQG87dKgQCwcyZM5999tnMzMwbN27cvn27oKBAo9F07dq1b9++oaGhTzzxhK+vr7GnKxSKTz/99N69e+fOncvKymInp/H19R00aFB4eHhYWJijzstM3t7eM2fOnDlzplKpvHfvXk5OTn5+flFRUVlZmVarlUqlPXr06N27d79+/UJDQ/38/IRCock+2/uYGPL09Fy3bl15efnFixdv3759586d+vp6uVw+YMCAQYMGjRkzpnfv3iY76UgDAgBgFZRAQAnx6ykbooQCIjA6whQlIJS1xp8ihLLk2QLKgqeb6NuGndsCJRAIBO0pYYB2gbLg3yiqXf0bAgAAAADtCMV9LQQAAAAAAABWFxsbe/Xq1TfeeCMmJsbRuTiv+vp6tVotkUjsPKkVOFBDQ0NjYyMbCwSCrl27OjYfsBuNRlNXV0dRlJeXl6NzATvRarW1tbXcpoeHB/9UgtCRVFRUEEIUCgXqkjsPV1dXlUrFxitWrEhISHBsPmA3dXV1Go1GJpO5uro6OhewE6VS2dTUxMYikcjDw8Ox+YDdqNXq+vp6oVDo6enp6FzATpqampRKJbfZtWtXgfEfBkBHotfrq6qqiHNc9IaGhqeeeooQcvDgwcDAQAt7wx0MAAAAAAAAAAAAAAAAAAAAAJ0Cfr0BAAAAYKny8vLr16/fvn37119/LS8v1+v1CoWiT58+AQEBgwYNGjBggEKhsFsyarU6KiqKjRcvXhwREWG3Q4Nz6lS3xL1795YtW8bGW7du7dGjh2PzAQAAAAAAAAAAAABng0IZAAAAgLbLy8v7/PPPc3Nzmz3+8OHDhw8fXrt27dChQ4QQPz+/5557buzYsXK53A5Z0TTNBnq93g6HA0tERUWp1Wo2Tk1NtdH0lZ3qluBOFovMAnRm9Vdu1Bw7ZWxvr+ldzOmkMbB/k7vpZk20y5GC9vTpirDR426BzY/Sk1Ciu5Ut7tLr9TqdjhAiFottngc4B+6is1xcXCiKcmA+YE8ajYYQIhKJHD5PO9iNTvfHm47Cry+cvbPScbk4kXFfLnNxs8cHAgAAAABgjvb0UQ4AAACA82AY5sCBA/v37zencWFh4eeff56cnLxr1y5bJwbtC03TXGEHAABYi/ZBWd35n4zt7Tnci5hRS0cHdFXTdSabNdKy6xXt6dMVbx119q7G1kcZLnFp+qnQ1kcBAAAnpKf/+E+2LqewIOeCA5NxHk8mLnV0CgAAAADwh/b0UQ4AAACA8zh+/LhhlUxISMjs2bP79u3bpUsXgUCg1+vr6uoKCwvPnTt35swZB+YJAAAAAAAAAAAAAAAAHBTKAAAAALRaWVnZjh07uM2VK1cOGzbMsIFQKPT09PT09AwNDY2Njf3mm2+Sk5PtniYAAAAAAAAAAAAAAAD8DywNCwAAANBqKSkpXPzmm282q5JpRiqVvvDCC/v27Xv66adtnxoAAAAAAAAAAAAAAAAYhUIZAAAAgNZhGOb06dNsLBAIJk6caM6z5HL5K6+8YsO0AAAAAAAAoEOrVRbv/WZ+eeVdRycCAAAAANC+oVAGAAAAoHXq6ur0ej0bDxw4UCgUOjYfAAAAAAAA6AwYQvR6mhDG0YkAAAAAALRvIkcnAAAAANDONDY2crG7u7stDvHw4cNLly7duXMnOzu7oaFBKpUGBQUNGjRozJgxPXv2dP7D0TR9/fr18+fP37lzp7KyUqFQDBo0aPLkyaGhoRRFNWtcVVX1448/pqenFxQUaLXaxx57bOTIkZGRkQqFwrFnwTBMVlbW+fPnf/nll8rKSplMNmDAgJEjR44bN04ul7ehQwuVl5dfvXr1xo0bBQUFFRUVAoHAx8cnMDBwyJAhYWFhvr6+VjkKwzCFhYW//PLL7du3f/3116qqKpFI1Lt37/79+w8fPnzo0KFisbht3VplMGmavnr16s8//5yZmVldXe3h4TFgwIAxY8Y88cQTrU3MPuMJAAAAAAAAAAAAAM4GhTIAAAAArSMS/fEKKj8/37qd19bWrlu37ubNm4YPajSajIyMjIyM3bt3BwYGfvjhh9b6Ft/yw5WVlS1cuJCNV61aFRISkpeX99FHH9XV1XFtKisrL1y4cOHCBX9//3/84x9ubm7s4zRN79y589tvvzXsMDs7Ozs7e8+ePYsXL548ebKjzqK0tPSjjz4qLS017DA9PT09PX3r1q1Lly4dP368OblZhVKp/Pe//52RkdHs8fv379+/f//HH38khAwcOPC1117r379/m4/S0NDw/ffff/3114bXjhCi0Wju3r179+7db7/9lqKoN954IzIy8tGCJ47tBjMnJ2fVqlVKpZJ7pKKioqKi4tKlSxKJ5IMPPhg2bJg5/dhnPAEAAAAAAAAAAADAOWHpJQAAAIDWMZzp5MGDBw8fPrRWzzdv3nzllVeaFXw0k5eX99prr126dMlJDscwDP1fbJ9vv/12s0oLTkFBwZIlSzQaDSFEp9P97W9/a1YlY2jz5s3ff/+9Q84iNzc3NjbWsLCjWeP169enpaWZzM0qamtrFyxY8GhVRzN37txZunSp4XRHrbVs2bKkpCRj147FMMyWLVvi4+O51cdabGOLwTx9+vR7771nWCVjqKmpaeXKlWyNCz+7jScAAAAAAAAAAAAAOCfMKAMAAADQOi4uLsHBwdnZ2exmQkLC2rVrXV1dLew2Pz9/+fLl3GZoaGh0dLS/v7+Li4tOpysuLk5OTr58+TK795NPPklISAgNDXWqw924cSM1NZUQMmLEiD//+c99+vRxcXHRarV5eXkbN24sKSkhhFRUVPznP/9ZtGjRhg0b7t69K5FIYmJiRo8erVAoKIqqq6s7efJkcnIy2+HmzZvDw8O7dOliz7PIyspKSUlhGCY4ODg6OjowMFAmkzEMU1FRkZKScurUKbbZtm3bwsPDPTw8+HuzXHx8vEqlYuPw8PBZs2b16tVLLpdTFKXX6+vr69lJULjELOTv7//ss88OHDjQy8tLJpMRQmiarq6uTk9P37Vrl1qtJoRcu3YtOTl53rx5Jnuz1mBmZWVt2rSJ25w4ceKcOXO6d+8uEAjUanVubm5iYmJBQcGGDRtmz57Nn5KdxxMAAAAAAAAAAAAAnA1mlAEAAABotZdeeomL8/Pz//KXv+zZs6e4uJhhmLZ1SNN0fHw8tzl//vyEhIT+/fuLxWKKolxcXAICApYvX/7mm29ybdasWcNOzeI8h0tJSdHr9QsXLvzoo4/69u3L9iYWi4ODgzdt2sStfJSWlrZ///5Lly717NkzKSlp6tSpnp6eAoGAoiiFQjF37tylS5dyfX7zzTd2Pov9+/frdLro6OhPPvlkyJAhbAmFQCDw9fWNi4tbsGAB15KtCrKp4uLi3NxcNn7ppZc++OCDAQMGdOnShR0uoVCoUCiGDBkSFxf31Vdf/fnPf7bkWMOHD9+6devmzZsjIyP79OnDnjhFUSKRyMfH55lnntmzZ8/AgQPZxikpKdXV1Sb7tMpg0jS9Zs0abnPFihVLlizp1auXUCikKEomk4WEhHz22WcRERH8/RD7jicAAAAAAAAAAAAAOCcUygAAAAC02uOPPx4eHs5t0jSdkpKyaNGiWbNmrV69+ujRo3fu3DG2RkyLzp49W1lZycZTpkx5/vnnW2wWGRn5wgsvsLFarW5zoYbtDjd16tRp06Y9+rhYLH7jjTe4zf379xNC1q5d6+bm9mjj8ePHd+vWjY1PnDhh/7OIiIiYM2cORVGP7po+fbqPjw8bnzp1qs2lUWa6d+8eF/PPlSKTyebOncvOAdM2MTExvXv35mkgkUg+/vhjiUTCbp48edKcbi0fzNOnTzc0NHBJjho16tE2AoFgyZIlgYGB/MnYczwBAAAAAAAAAAAAwDlh6SUAAACAtli2bFliYmJaWprhgzRNp6enp6ens5ve3t6RkZERERHcZCrGHDhwgIvnz5/P03Lu3LmHDx/W6XSEkNTU1Llz5woErS59tt3hXn75ZWO7hgwZYrg5a9YsT0/PFltSFPXMM88kJSURQmpra5VKZYv1NLY7i1dffdXYLoqiZs2atX37dkKIWq2uqqry8vLi6cpCXCWQVCp1cXGx3YHMJJfLZ82axdY5nTx5MioqyuRTLB9M7kLLZLJnn32Wp7e4uDjD6YgeZYvxLCwsXLhwIX8bhUJBCGlsbKyqqrLKQTsktlJKo9FglDoPw/I4vV5v3Uuv+m+BnSW0Oq05zWxdNGl1Wq1Z52UhmtbZ4SgAAADtRXV1tZjY479gB9Lr9YQQtVrd1NTk6FzATgxfCet0Oryb6zzYS0/TNC5659HsnW9NTY2jMgFHcYaLrlKp2IB91WEhFMoAAAAAtIVQKFy0aNHUqVO//PLL69evt9imoqJi3759+/btGzFixNtvv+3u7m6s2cOHD9k4IiJCLpfzHFcsFj/33HOHDh0ihGg0mvz8fJOzaNjtcCNGjODpTSwWd+vWraysjN2cOHEiz3GDgoK4uKam5tFCGdudRVhYWIt1ORxu+SFCiK0LZbhM1Gp1Q0ODq6ur7Y5lprCwMLZQprq6Wq1WS6VS/sYWDmZlZSVX3TJz5kyhUMjTW79+/dzd3evq6ow1sMV46nS68vJy/jbscRmGscpbuI6NYZh2V3MA1mLdPxCr3Ehm9tEOb9p2lzAAAEC7p9frO8nbAbyk78w6yU0OhnDROy1c+k7IGS66dXPA0ksAAAAAbRcQEBAfH79nz55333131KhRxr7Fz8jIiI6Ovn37dot7CwsLuXjs2LEmDzp69Gguzs3NbWXKNjzc8OHD+bvq2bMnF/fo0YOnJTsDB6vFWnXbncXIkSP5uzKZmxX179+fi//5z39yJfMOZHj6tbW1/I0tH8z8/HwuHjFiBH9vFEVNmDCBp4ETjicAAAAAAAAAAAAA2BlmlAEAAACwlEKhGD9+/Pjx4xmGUSqVJSUlt27dOn36dHFxMddGr9e///77O3bs6NatW7OnGzYzLCUxpnv37lxcUFDQ2mxtd7hHT60Zbt4XiUQiEvG9EJVIJFzc4goRtjsLw5YtEovFXKzRaEwe2hIBAQG9evViTzYzM/PFF18cO3bs1KlT+/btyz+JTpsxDHP//v2srKxbt24VFxeXlpY2mzTbsGy/rq6O/6JbPpglJSVcbHIJM0JI3759efbafzwBAAAAAAAAAAAAwNmgUAYAAADAaiiKcnd3d3d3Dw4Onj17dmlp6RdffHHt2jWuwdq1azdu3NjsWQ8ePOBiY8szGTJcL8awXsRMtjucYXVLiwSC36cz5F+vxxwOPAt7oigqPj5+8eLFjY2N7CMXL168ePEiIcTLy2vUqFEjR44cOHCgtZZkunLlyvbt200uJMQxWSdk+WAaXmhzalm8vb159tpiPBUKxUsvvcTfhl2dTSQSyWQy83vubLRarU6nEwqFhuVT0LGxF52NKYqy/L8GQzoXF8s7EQrNmoWXoijLj2VPAoGQENrWR6EozGEMAADwB5lMJu7obwc0Gg1N0yKRyMUar8SgXWAvOhsLBAKn+kQFbEqn02m1Wlz0ToWmacNPAqVSabt7LwxtwzCMWq0mznHRrbu8IwplAAAAAGyle/fuK1eu3LVrV2pqKvtIXl5eSUlJsxlQDGdM4Z9nhcWVmxBCms32YQ47H85kn23jDGdhH76+vl9++WVSUtJ3331n+HhlZWVaWlpaWhohZMSIEa+88oqfn58lB0pMTDx+/LhFudqA4Ttwc24bkx/QWH08vby83nnnHf42sbGxhBCxWGytkqYOqb6+XqfTiUQijFLn0dDQYFgoY91Lr7HGx7VCQcsrKjbj8M+JWksotEehjOX/1wMAAHQkcrlc0tFf6NI0TdO0i4sLXtJ3Hnq93rBQBpe+81Cr1Vqt1urv48CZNTU1GX5MJ5fL8aavk9Dr9WyhjFNddKtkgkIZAAAAANuaN2/e2bNnq6ur2c3bt283K5Qx/K0V9/kCD8O1b9rwuw07H85GOsZZmEkul7/55psxMTE3bty4dOlSenp6s1qfjIyMjIyMWbNmvfzyy237vvbcuXNclYxAIJg+fXp4eHjPnj1dXV1FIhFFUVy3JSUlCxcutPCMzGc4uYherxcKTXxpbU4VlB3GEwAAAAAAAAAAAACcFgplAAAAAGxLIBBMmzYtOTmZ3fztt9+aNejWrRsXK5VKkz/FaGho4OJmNTfmsPPhbKRjnEWryOXyMWPGjBkzhmGYmpqavLy8Cxcu/Pjjj1yd0KFDh/z8/CIiIlrbM03T27dvZ2N3d/fNmzd7enryNG5b/m1jeKFVKpVCoeBvX1lZaWbPthtPAAAAAAAAAAAAAHBmzjI9DgAAAEAH1rt3by5ubGzk2VtSUmKyt7KyMi729/e3JBk7HM5GOsZZtA1FUZ6ensOHD3/77bdTUlJiYmK4XYmJiYZz55ippKSEKyR66623eKpkyP+OpB306tWLi8vLy022z8vLa+0hrD6eAAAAAAAAAAAAAODMUCgDAAAAYHP19fVc/OiUGH5+flz8008/mewtPT2di/v27dvaZOx8OBvpGGdhOZFINHPmzMjISHZTpVJVVVW1tpOioiIuDg4O5m989erV1vZviYCAAC6+du2ayfY//PCDJYezyngCAAAAAAAAAAAAgDNDoQwAAACAzV25coWLg4KCmu318fHx9vZm4++++06tVvN0pdVqjx07xsZisTgwMLC1ydj5cDbSMc7CWsaMGcPFSqWytU9vamriYqFQyN/y1KlTre3fEt7e3twMN4cPH+Zf+Ck3N7e2ttbyg1o4ngAAAAAAAAAAAADgzFAoAwAAANA6KpXqyJEjWq3WzPYlJSWG05m0OGPH3Llz2YBhmH379vH0dvjwYa6sYcaMGQJBW17O2flwNtIxzsIqDGc96dKlS2ufzpUcEUIKCwt5WiYlJel0utb2byHuQqtUqpMnTxprxjDM1q1brXJEC8cTAAAAAAAAAAAAAJxZR/uSAAAAAMAOkpKSoqKiUlNTVSoVf8vS0tJly5Zxm+Hh4dz0GIYmTZrEPX7kyBFjk3acP39+7969bCyRSF544YW2ZG/3w9lIxzgLfgcPHrx58yb/NCqNjY179uxhY6lUalj1YiZ/f38u/vzzz1sshWEY5quvvkpLS2tt55aLjIyUy+VsvH379uvXrz/ahq2Syc3N5e/KPuMJAAAAAAAAAAAAAM4MhTIAAAAAbaHRaHbt2vXiiy+uXr364sWLxcXF3Oo/DMOoVKrs7OyNGze+/vrrdXV17ONubm5LlixpsTehUPj3v/+d29yyZcuaNWsKCgrYkgWapouKijZs2LB+/Xquzfvvvy+VStuWvJ0PZyMd4yz4/frrr8uXL587d25iYmJmZmZVVRU3lRFN09XV1efOnXv99derq6vZBxcuXEhRVGuP4ubm9uSTT7Lx/fv34+LiMjMzuftZpVJlZmYuXbo0OTmZEDJnzhwrnFhriESiDz74gNv8+OOPt23bVlpaqtfrCSEajebOnTtLly5lK6VmzJjB05V9xhMAAAAAwEY83HpFz9jt6zXA0YkAAAAAALRvIkcnAAAAANC+paenG66sZIynp+f69eu5iTEe1a9fv/j4+Pj4ePbr/8uXL1++fNlY43feeWf48OFtS9ghh7ORjnEWJmk0muPHjx8/fpy/2ZQpU55++um2HWLx4sWZmZn19fWEkAcPHhhWIBmKi4sLDQ39+uuv23aUNgsNDV20aNG2bdvYzbS0tBbntlm8eHFAQMDRo0f5e7PDeAIAAAAAAAAAAACA08KMMgAAAACtI5fLk5KSYmJievXqZU57mUy2YMGCnTt3+vj48LcMCwv78ssvg4ODedr4+fklJiZOmDDB/ISd5HA20jHOwkJubm7vvffeG2+80ebpT+Ry+bZt24KCgow1kEqlK1eunDJlSltztNTUqVPXrl3r6ura4l6RSLR8+fLJkydb5ViWjycAAAAAAAAAAAAAOC3MKAMAAADQat7e3jNnzpw5c6ZSqbx3715OTk5+fn5RUVFZWZlWq5VKpT169Ojdu3e/fv1CQ0P9/PyEQqGZPXt6eq5bt668vPzixYu3b9++c+dOfX29XC4fMGDAoEGDxowZ07t3byueiJ0PZyMd4yxatGzZsocPHxYWFubn5//2228PHjx4+PBhY2OjXq9XKBR+fn6DBg0KCwsLCgoSCCytgFcoFJ9++um9e/fOnTuXlZV1//59Qoivr++gQYPCw8PDwsJcXFyscU5tN3jw4L179165cuXnn3++fv16TU2Nh4dH//79x44dO3r0aHMW1bLneAIAAAAAAAAAAACAc6IYhnF0DgAAAAAAAB1WbGzs1atX33jjjZiYGEfn4rzq6+vVarVEInFzc3N0LmAnDQ0NjY2NbCwQCLp27WrFzjVFJY3Zucb2ug8Qm9OJzkOhk5muEdQx5E51e/oZklYtUdbbvBxQSjOS6sYWd+l0usbGRoqiunTpYus0wEnQNK1SqbhNuVxufh05tHdKpZLgoncyEVMGq9W//xeweOZf3n7hFYem4yz8Z48XShz82wNbq6ur02g0MpnM2FSg0PEolcqmpiY2FolEHh4ejs0H7EatVtfX1wuFQk9PT0fnAnbS1NTEvq5jde3aFT8z6yT0en1VVRVxjove0NDw1FNPEUIOHjwYGBhoYW/t6aMcAAAAAAAAAACTxL17inv3tLATF0LM/DprlK+Fh+pcNBpNXV0dRVFeXl6OzgXsRKvV1tbWcpseHh4iET6T7CwqKioIIQqFwuHTE4LdCAR/LGCqGBIQ+NJEByYDAAAAANAilHoBAAAAAAAAAAAAAAAAAAAAQKeAX28AAAAAtFpZWdnChQvZeNWqVSEhIRZ2qFaro6Ki2Hjx4sURERGtbQCWu3fv3rJly9h469atPXr0cGw+JqlUqtu3b2dlZeXk5JSVldXU1Li4uHh5efXv3z8wMHDIkCGPPfaYw+fDBABwFL1WV/TtZUdnAS3Q6XQqlYqiqAb7LrUmEgvc3DrOf4uiIE/K26xFxKwlt06k07fxuTRNNzQ0cJuu+gaswtN51CnrCC669ejzGUbn6CRM0esZLi6objx372Gbu5KKiZ+32hpJtaCbskrA0BZ2Qsm8iIe/VfIBAAAAAHtCoQwAAECnFhUVpVa3/KmTUCh0dXX18/Pz9/cfNmzYwIEDZTKZndNzWgzD0LSlH6g1w3Wo17f8FYTJBmA5bpAZhuFv6Vj379/ftWtXenp6s8d1Ol1RUVFRUdEPP/xACJFIJHPnzp0+fbpUKnVEmgAAjqRTwqPAtQAAIABJREFUNZ2Z9ZGjswAn4juk12OedY7Owmq8t86h3RpMt7OePXd9ajS2+roaAMwk/o9LXY2z/yXqtH+8Yz19t/LWoZtt7qqfj+yFCXnWSKoFz9y9KmmssbQX/7HUsBhrpAMAAAAAdoVCGQAAgE6NpmljBR80TWs0murq6szMzGPHjhFCZs2a9eKLL+IbdwAH0mq127ZtO336tDmNm5qadu/enZyc/Nprr02bNo2iKFunBwAAAAAAAAAAAADg5FAoAwAAAOY6dOjQmTNnNm/e7OHh4ehcADojpVL53nvvlZSUcI907979xRdfDAoK8vb2lkgkhBCdTldbW5ubm/vdd99lZGQQQmia3r59e0BAwODBgx2WOgAAAAAAAAAAAACAc0ChDAAAAPzu8OHDhsvGMwyj1WpLS0tPnDhx4sQJ9sHa2trly5dv2rQJC8wD2FljY+Nbb71VWVnJbsrl8hUrVgwePLjZPDEuLi7e3t7e3t6jR4+urq7euXPnhQsXHJEvAAAAAAAAAAAAAIAzEjg6AQAAAHAWzb5upyhKLBb7+fktXLhw/fr13OP379+/ePGi3bPr7KRS6bH/mjRpkqPTAXtjGGb16tVclUxgYGBSUtKQIUP4V1Py9PR877334uPjxWKxXdIEAAAAAABbqc4v3ronqrzyrqMTAQAAAABo91AoAwAAAKYFBQXNmzeP2zxw4IADkwHohM6fP3/z5k02dnd3/+c//ymXy818blhY2I4dO1xdXW2WHQAAAAAA2B7D6PU0IYyj8wAAAAAAaPdQKAMAAABmmTx5MhcXFxdrNBoHJgPQqeh0ui1btnCby5Ytk0qlrerB09MzICDAymkBAAAAAAAAAAAAALRDIkcnAAAAAO2DQqGgKIphfv/tWk1Nja+vL/9TaJq+devW9evXb9++XVhYqNPpvLy8QkJCHn/88ZEjR7ZtLRitVpuenn7p0qWcnJzq6moPD4/Q0NAnnnhi5MiRQqGwDR1akVPlRtP01atXf/7558zMTDaZAQMGjBkz5oknnnCSVXhscXuYPKKTj4kxly9fVqvVbBwQEBASEmKLozx8+PDSpUt37tzJzs5uaGiQSqVBQUGDBg0aM2ZMz54929AhwzBZWVnnz5//5ZdfKisrZTLZgAEDRo4cOW7cOPOnwyGE0DR95cqV9PT0Gzdu1NTUeHp6BgUFPfnkk6NGjWrbhbP6mQIAAAAAAAAAAABAO4JCGQAAADALRVFdunRRKpXsZlNTE09jhmFOnjyZlJTUrFlJSUlJScmpU6eEQuHrr7/+pz/9iaIoY52UlZUtXLiQjVetWhUSEnLz5s3Vq1c3NjZybSoqKs6cOXPmzBlXV9fly5cPGTLEWG8XLlz417/+xcbJycn839PfvHnzo48+YuPExEQfHx+extxT2pybOdRqdVRUFBsvXrw4IiKCp3FOTs6qVau4i8UmU1FRcenSJYlE8sEHHwwbNuzevXvLli1j927durVHjx7NOrHdiFnl9mgtc8bEZCe2vouMOXr0KBe/+OKLVhwWVm1t7bp167ilnVgajSYjIyMjI2P37t2BgYEffvghT23co3+tpaWlH330UWlpqWGH6enp6enpW7duXbp06fjx483J7ebNm//4xz8aGhq4Rx4+fMhWukgkkg8//DAsLMzkzWzFMwUAAAAAAAAAAACA9g5LLwEAAIBZGIapr6/nNiUSibGWKpXqvffe27ZtG08xDU3T27ZtS0hIoGma54j0fxFC0tPTly9fbliJYqihoeHDDz88ceKEmb2ZxDXmJtHhYWFuZuJS0uv1PM1Onz793nvvGVaEGGpqalq5cuWPP/5ITJ2jjUbMWrdHq5g/JvxsehcZo9FosrOzuU2rTydz8+bNV155pVntSDN5eXmvvfbapUuXjDVoNjK5ubmxsbGGVTLNGq9fvz4tLc1kbt98883y5csNq2QMNTU1ffzxx+fOnSPmDbVVzhQAAAAAAAAAAAAA2jvMKAMAAABmqaurM/wGWqFQtNisqalpyZIlZWVl7KaPj8/LL788dOhQd3d3iqKampru3r27Y8eOgoICQkhGRsaGDRu4qSB4XL169dChQ4SQ3r17x8bGBgUFSaVSvV5fWlqampp6+vRpttkXX3zRo0ePsLAwC0+2VZwqt6ysrE2bNnGbEydOnDNnTvfu3QUCgVqtzs3NTUxMLCgo2LBhw+zZs22aSYtsdHvwc/IxMamkpISLPT093dzcrNh5fn7+8uXLuc3Q0NDo6Gh/f38XFxedTldcXJycnHz58mV27yeffJKQkBAaGsrfZ1ZWVkpKCsMwwcHB0dHRgYGBMpmMYZiKioqUlJRTp06xzbZt2xYeHu7h4WGsn6tXr+7YsYPbnDp16owZM7p16yYQCJqamn799df//Oc/ubm5//rXv8y5cLY4UwAAAAAAAAAAAABojzCjDAAAAJjl+++/5+KgoCBjM8ps2rSJK4OYNm1aYmLi+PHjPTw8BAIBRVFSqXTo0KGfffZZZGQk2+bixYv8Ezyw2EqUcePGbd68OTQ0VCaTURQlFAp79er11ltvcQvcEELWrl2r1WrbfJpt4Dy50TS9Zs0abnPFihVLlizp1auXUCikKEomk4WEhHz22Wfssk2pqam2y8QYG90ePJx/TEwqKiri4r59+1qxZ5qm4+Pjuc358+cnJCT0799fLBZTFOXi4hIQELB8+fI333yTa7NmzRqNRsPf7f79+3U6XXR09CeffDJkyBC5XE5RlEAg8PX1jYuLW7BgAdeSZ8C1Wu0nn3zCbSYkJCxatKhnz57shZNKpYMHD96wYcP06dP5+7HpmQIAAAAAAAAAAABAe4QZZQAAAMC0vLy83bt3c5svv/xyi81yc3MvXLjAxqNGjYqNjaUo6tFmAoEgLi7u7t27+fn5hJCNGzfu3LmzxZaGevfuvXTpUoGghTLfESNGvP7664mJiYQQtVp94sSJGTNmmHViVuIkuZ0+fZpbpCYmJmbUqFGPthEIBEuWLMnPz8/Ly7NRGsbY9PYwxsnHxBwPHz7kYj8/Pyv2fPbs2crKSjaeMmXK888/32KzyMjIsrKylJQUQoharU5NTY2KiuLvOSIiYs6cOS3umj59+pEjR9iTOnXqVExMTIsX99SpU2q1mo3j4uJanNyFoqgFCxb89ttvt27d4s/HdmdKCKmqqjpw4AB/G/ZctFqtSqUy2WGnpdPpCCE0TWOUOg/D4lGGYax+6bVGlkSETovRt30lRCekp/nW4rQFS5aSBABoG/51hy1klX/VdDqdFi9f/4tdilen0+ElfedhuDK1Xq/Hpe882LfwtngfB06r2Ur0jY2Nbf7AFtoX7p2gM1z0xv9+1GOVV4kolAEAAACjdDpdeXn5yZMnjxw5wj349NNPh4SEtNh+3759XLxkyRKel00URS1evHjp0qWEkIcPHxYVFfXp04c/mbi4uBYrUVhTp07du3cv+97sq6++eu655+z5os1JcuO+rZfJZM8++6yxZhRFxcXFsYNvTza9PYxx8jExR21tLRd7eXlZsWfD8o758+fztJw7d+7hw4fZD0FSU1Pnzp3Lc8MTQl599VVjuyiKmjVr1vbt2wkharW6qqqqxZNiq1UIIV26dJk0aRJPb7GxsW+99RZPMsSWZ0oIqampSUpK4m/DTgWEQhlz6HQ6dvyhs7FJoQz+4uB/MaRD1XnQer2dp4lGoQwA2J/z/8uDopBHabVaO0/0C04ChTKdEC56Z9aIn6Z0Ps5w0a37bw4KZQAAAOB3s2bNMqxdaFYkzpozZ868efNafHpjY2NGRgYbP/XUU25ubvyH69evn0wmY19d/fTTT/yVEFKpdNCgQTwNhELhrFmz9u7dSwipr68vLS3t0aMHfwLW4iS5VVZWcnNmzJw5UygU8jTu16+fu7t7XV2d1dMwxqa3hzFOPiZmMvyEUSSy2qv3iooKbq6aiIgIuVzO01gsFj/33HPsKmMajSY/Pz8wMNBY47CwMP7rO3DgQC5usVCmoqKiurqajZ9//nn+CxcQEODl5cVd6EfZ7kwBAAAAAAAAAAAAoD2y849PAAAAwHnp9XraQLO9Y8eOTUpKio6ONjYRCLtQDmvcuHEmD0dRFDczTXZ2Nn/jsWPHmpyFZdiwYVxszzV0nCQ3w/EfMWIEf2OKoiZMmGCLNIyx6e1hzkGdcEzM5OLiwsVWnGmjsLCQi8eOHWuy/ejRo7k4NzeXp+XIkSP5u1IoFFxcU1PzaAPDCxcWFmYyN/47ynZnCgAAAAAAAAAAAADtEWaUAQAAALP89NNPTz/9tLe3t7EGRUVFXOzn52dOn3369ElPTyeE5OTk8Lfs37+/yd66devWYjK25iS5lZSUcLGvr6/J9uxaMHZj09vDGCcfEzO5u7tzMTfPiuWKi4u5uGfPnibbd+/enYsLCgrMbNkisVjMxRqNhj83Hx8fk7nxT/piuzNlCYVCw2vUIq6WzuHr+Dozbl59jFLn0WwxBatfetxLAAAAYGsUReElBwcv6Tsnw1f1uPSdB/7eOyf8vXda7KV3hotu3RxQKAMAAAC/O3z4sOESJzRNV1VVXbx4cdeuXexkMwkJCbGxsc8880yLT79//z4Xv/XWWwKBgPz3JRTDMFxACNHr9WzAzVujVCoZhuF5lWPOl+UymYyLHzx4YLK9tThJbobd8i8uw+KpebIFm94exjj5mJjJ8AYznBzFQoaDY7LOgxDi6urKxYalJ4+SSCSWJEYIKSsr42JzLtyjizcZst2Zsvz9/c+ePcvfJjY2lhAil8v5U+3k6uvr1Wq1RCIxuTQbdBgNDQ3c+tYCgaBr167W7V8jklq3Q2jv2JcfHYaLi4gmTfY8YgcbQABoF/iXYbWQVb5nkUgkUrzI/6+6ujqNRiOTyQzfVUHHplQqm5p+f0EiEok8PDwcmw/YjVqtrq+vFwqFnp6ejs4F7KSpqUmpVHKbnp6eeIPQSej1+qqqKuIcF10q/f2jHqtkgkIZAAAA+F2zQgShUOjj4/P888+PHTs2Li5OrVYTQrZv3x4UFNTiHCrcd12EELaxFRlOQWGM4Sdo3Lt0O3CS3Axn5jDnZaLl1QytYtPbwxgnHxMz9erVi4t//fVXa3Wr1Wq5WCQy/abAcABt/fdl3QvnzGcKAAAAAAAAAAAAAPaHUi8AAAAwwcfHJz4+ntv8xz/+wU31Ycicb6DbrMX1WZrR6/VcbE7xirU4SW6G3Roezhg7VwDY9PYwxsnHxEyGqwVVVlYa/nTDEi4uLlzc4l90M4YDaOuKIsPczLlw/H+DznymAAAAAAAAAAAAAGB/mFEGAAAATBs4cOCkSZNOnz5NCKmsrDx8+PCcOXOatenWrRsX79+/37oT7VZUVJhso1KpuLhHjx48LQ2XU22ROd+mc6ybW5sZjr9KpVIoFPztKysrze/c8hGz6e1hzkGdcEzMJJVK+/Xrl5uby27eunVr9OjRlndrODhKpdLkFWloaOBiw9odWzDMrbGx0bDSpUX8F86ZzxQAAAAAAAAAAAAA7A8zygAAAIBZ5s+fz8V79+41XEmH9dhjj3Hxw4cPrXt0rkqAh+FBe/fu3Wyv4eJHJisYzKl9sWJuVmG4QE95ebnJ9nl5efwNrDtiNr09jHHyMTHf888/z8UHDhwwWaNjDsP7sKSkxGT7srIyLvb397c8AR6GF86cuyU/P59nrzOfKQAAAAAAAAAAAADYHwplAAAAwCxubm6zZs1iY71ef+zYsWYNAgICuPjq1avWPfqFCxdMFgdcu3aNiw3LMlju7u5cbHLxmqysLHvmZhWG4294OGN++OEH/gbWHTGb3h7mHNQJx8R8o0eP5tYAysvLu337tuV9+vn5cfFPP/1ksn16ejoX9+3b1/IEeBiWp9y4ccNk+/Pnz/PsdeYzBQAAAAAAAAAAAAD7Q6EMAAAAmGv27NlcvH//frVabbhXoVAMHDiQjQ8ePKjT6ax46MbGxpycHJ4GNE0fOnSIjV1dXR9dMMXb25uLf/vtN56uNBrNuXPn7JmbVXh7e3t6erLx4cOH+ec7yc3Nra2tNdkhF1s+Yja9PYxx8jExn4uLS2xsLLe5bt26pqamVvVQW1tbWFho+IiPjw93Ot99912zP+dmtFotVxsnFosDAwNbdfTW8vHxcXNzY+PDhw/r9Xqexvfv3+efdcaZzxQAAAAAAAAAAAAA7A+FMgAAAGAuNze3Z555ho31ev23337brEF0dDQbNDY27tixw7pH37JlC8/35adPn66vr2fjF154gaKoZg18fX25Bx+dDsfQV199xf/FvNVzs5a5c+eygUqlOnnypLFmDMNs3brVZG9WHzGb3h7GOPmYmG/ixInBwcFsXF1dvXz5cv6CD0M3b95csGDBo1PgcIPDMMy+fft4ejh8+DBXmjNjxgyBwLZvIiiKeuGFF9i4rq7uxx9/NNaSYZjExESTHTrtmQIAAAAAAAAAAACA/eGTXwAAAGgF7vtmQsjevXubTWsxePDgsWPHsnFaWlpSUhL/HB6EkIqKij179jQ0NJg8dEFBwebNm1ssPsjMzNyyZQsbSySS6dOnP9pGKBRyuWVnZ1++fLnFo5w9ezYlJcVkMtbNzVoiIyPlcjkbb9++/fr164+2YStCcnNzTfZm9RGz6e1hjJOPifkoilq5cqVCoWA37969++qrr969e5f/WUqlctOmTcaqaiZNmsTNuHPkyJFTp0612Mn58+f37t3LxhKJhCthsalp06aJxWI2/ve//33nzp1H2zAMs3v37szMTJO9OfOZAgAAAACYyfOx3m++fNDXa4CjEwEAAAAAaPdQKAMAAACt4OHhMWnSJDamafrRKTqWLFnSo0cPNj5y5Mi8efO+/fbb0tJSjUbDPqjX6xsaGgoKCk6ePPn222/HxMSkpKSYnHvj2WefJYScOXPmnXfeuXXrFtubXq8vLy9PTEz8+9//zrVctmwZ9/16M/PmzePiNWvW7N+/v6amhmEYQkhTU9O9e/dWrly5ceNGoVDYqi/IrZKbVYhEog8++IDb/Pjjj7dt21ZaWsoOr0ajuXPnztKlS9kqgRkzZpjs0OojZqPbg4fzj4n55HL5559/3q1bN3ZTqVS+++67cXFxFy5cKC0t1Wq17OM0TdfW1l6/fv3TTz/985//fPr0aWMdCoVCw/tzy5Yta9asKSgoYBfGomm6qKhow4YN69ev59q8//77UqnUuufVIrFYvHTpUm7zb3/7W1JSUnl5OXfh7t69++GHH6amphIzLpwznykAAAAAAAAAAAAA2JnI0QkAAABAO/PSSy9xX73v2bNn6tSphsUfEonks88+S0hIuHnzJiGkvr5++/btlh909OjRAwcOXLduXV5enmHdQzOvvvrqyJEjje3t3r17VFTU/v372c39+/dzsaF//vOfGo3G/BlBrJKbtYSGhi5atGjbtm3sZlpaWlpa2qPNFi9eHBAQcPToUf7erD5iNro9+Dn5mLSKQqHYsmXLli1bfvjhB/aR+/fvf/rpp/zPEggE8+fPHzhw4KO7+vXrFx8fHx8fzxagXL582dg0OYSQd955Z/jw4Rak3zrh4eHR0dG7d+9mN48cOXLkyJFHmy1evNjf35+7cMaWNnPmMwUAAAAAAAAAAAAAe8KMMgAAANA63t7e48ePZ2ONRvP99983ayCVSlevXr1ixQpumRhjKIqKjIzcvHmzm5ubyeOOHTt25cqVxmZkkclkCQkJJieWePHFFxcuXGhsr7e395YtWwYMaPVE1lbJzVqmTp26du1aV1fXFveKRKLly5dPnjzZzN6sPmI2uj34OfmYtIpYLP7rX/+6adOmsLAwk41FItFf/vKXAwcOzJgxQyBo+ZV/WFjYl19+GRwczNOPn59fYmLihAkT2pZzm82ZM+fjjz82NrOLUCj88MMPJ0+ebDjnkEhk9JcAznymAAAAAAAAAAAAAGA3mFEGAAAAWm3evHnnz59n4127dkVGRrq4uBg2oChq1KhRu3fvLiwsvHLlyr179+7evVtTU0MI8fX17dOnT9++fYcOHRoUFNTsifyGDRuWnJx8+fLlS5cuZWdn19TUuLu7h4WFPfHEE6NHjxYKhSZ7oChq2rRp48aNO3/+/JUrV3JyclQqlbe39+DBgydMmBAaGmpOJzbKzYoGDx68d+/eK1eu/Pzzz9evX6+pqfHw8Ojfv//YsWNHjx7dqgVlbDFiNro9+Dn5mLRWQEBAfHy8Uqm8c+fOzZs3c3JyysrKampqXFxcvLy8+vfvHxgYGBISEhgYaE4ynp6e69atKy8vv3jx4u3bt+/cuVNfXy+XywcMGDBo0KAxY8b07t3b1mdkzPDhw/ft2/fzzz+np6dnZmZyF+7JJ58MDw9nL1xtbS3X3lg5FMuZzxQArE4gEvaaYvO53KAN9Hq9TqejKMqK/9Gbw62noktXjT2PaFMioadI2NWeR+zv4abS6tr2XIZhuGUiCSEuLi7GJoGDjoddZRUX3VqoIYKmhjb+JdqN4ARF6N/j3grJqMfa/o9VN3dRN1kP66T1CKFXEKVVWdqLey9r5AIAAAAA9kYxDOPoHAAAAABaUFpa+vrrr7PxmjVrQkJCHJtPB3Pv3r2lS5ey8RdffNGzZ0/H5gPQZqmpqbt27WLjo0ePOuF3MLGxsVevXn3jjTdiYmIcnYvzqq+vV6vVEonE8kmkoL1oaGhobGxkY4FA0LWrXb/yBwfSaDR1dXUURXl5eTk6F7ATrVZrWNjq4eHBMwkcdDAVFRWEEIVCYefaOHAgV1dXler3ApQVK1YkJCQ4Nh+wm7q6Oo1GI5PJ+H/AAB2JUqlsampiY5FI5OHh4dh8wG7UanV9fb1QKPT09HR0LmAnTU1NSqWS2+zataux6auhg9Hr9VVVVcQ5LnpDQ8NTTz1FCDl48GBgYKCFveEOBgAAAACAduzChQtsEBAQ4IRVMgAAAAAAAAAAAADgVPDrDQAAAADomMrKyhYuXMjGq1atsnxSIrVaHRUVxcaLFy+OiIhobQMz2zgzZ8u/oqIiLy+PjSdPnuzYZAAAAAAAAAAAAADA+aFQBgAAAACcS1RUlFqtbnGXUCh0c3N77LHHAgMDR44c2a9fP6FQaKwfhmFomrZublyHer2+bQ3MbOPMnCd/hmG2bt3KbY4cOdKByQB0MPt8ntdrdDY9RLOVoG00I5RILn78cbGZjV2nhbi81t3YXgFx+//K/shZpfO+XF5paX4dRdPndKtW9mavPqYB61QM/+Rx6TsV/L13QhrNH+/Cdl8pPvfvHx2YjPM4PvOee7WaKb5N63toL14hhMg+3El5+jo6LwAAAIBOCoUyAAAAAOBcaJo2VuBC03RlZWVlZWVGRsbBgwdlMllsbOzTTz+NT947HoZhkpKS/t//+39ubm4tNqBpeufOnRkZGexmeHh49+5Gv94GgNbSKlW2LpSxEz2tV5lbNMnodAyjNbqXaHX6P77p1+n1atpo486mqbF1hTIAANCRGfyPoNUzKo2Vf73QXum1hNYSnZpidEyTihBC8H8nAAAAgOOgUAYAAAAA2qvGxsaNGzeeOXMmPj5eJMIr247m6NGjR48enThx4sSJE/39/bt06UJRFE3TdXV1N27cSE5OLi8vZ1sKhUJumS0AAAAAAAAAAAAAAB74OgEAAAAAnNfhw4cNF1diGKapqamwsDA5Ofn69evsgzdv3ty8efNf//pXB+UItnXmzJkzZ87wNBCJROvWrfP09LRbSgAAAAAAAAAAAADQfqFQBgAAAACcV7M1lSiKkkqlQUFB8fHxx48fT0xMZB//4Ycfpk+f3r9/f5smI5VKjx075gydOJCz5R8WFvbuu+8aW54JAAAAAAAAAAAAAKAZFMoAAAAAQLs0ffr0a9euZWRksJuHDh3629/+5tiUwIooivrqq69+++23O3fu5ObmFhUVVVVVKZVKkUjk7e0dHBwcHBwcHh6OiWQAAAAAoKOqVRZ/c25F5JgPfL2CHJ0LAAAAAECHgkIZAAAAcFLdu3d3qokrOpj+/ft3gOGdN28eVyhz6dIlhmGazUAD7ZpMJhs0aNCgQYMcnQgAAAAAgAMwhOj1NCGMoxMBAAAAAOhoUCgDAAAAAO2Vn5+f4WZtba2Hhwf/UxiGycrKOn/+/C+//FJZWSmTyQYMGDBy5Mhx48bJ5XJbJmsprVabnp5+6dKlnJyc6upqDw+P0NDQJ554YuTIkUKh0LG9mcNaI0/T9K1b/z979x4fRXU+fvzM7CbZ7OZKQriEW7mHcmnkJoj4lSrWFloKVkVbtCgXwagtNZViEUHFC7YiCiX2i1+qlAIiiFigRasVfrYRpAFECRcxkRCSkJD7Xmd+f0ydbkOy2SR7S+bz/oPXM5uzZ56Zw2ZmN8+e8+mRI0dOnDhRUFDgdrtTUlKGDRv2rW99a/To0dHR0X72U1JScvjw4X/9619ffvllWVmZLMudO3fu27fv0KFDMzMz09LSWnWUAAAAAAAAAIBIR6EMAAAA2iuTyWS1Wuvq6rTN2tpa34UyxcXFS5cuLS4u1h9xOp25ubm5ublr165dtGjRxIkTfTzdbrfPnDlTi7OysiZNmtSKnP3p5OLFi/Pnz9fi5cuXDxs27NixY0888UR9fb3epqys7N1333333XdtNtuSJUuGDh3a1B4D21vr8m/jmdeoqrp3794NGzY4HA7vx4uKioqKivbt22cymebOnfud73zH98RC1dXVv/3tb/W5iHSFhYWFhYUffPCBECIjI+Pee+8dMGBAs1kBAAAAAAAAANoXOdwJAAAAAKFw+vTpefPmeddqeFNVddWqVXv27PHdiedriqK0OpNmO1FVVW8jhMjNzV2yZIl3XYu32traX/3qV3/+85+b2l1ge2tF/gE583V1dQ8//PC6desaVMk0SGzdunUrVqzQ9tuoysrKOXMtAanhAAAgAElEQVTmXFkl08Bnn322aNGips4SAAAAAAAAAKD9YkYZAAAAtFcej0efTkYIYbPZmmp5/Pjxbdu2qao6ePDgWbNm9e3bNzY2VlXVsrKybdu27du3T2u2bt26cePGNbt+UygdPnz4zTffFEL06NFj3rx5AwcOtFgsiqIUFxdv3759//79WrPf/e533bp1y8zMDGVv/gjImXc4HA8++ODFixe1zc6dO991113Dhw9PSEiQJMnhcOTn57/yyitffvmlEOLQoUPPP/98dnZ2o109/vjj+v+ZcePGTZ8+PT093Wq1SpKkKEpNTY02qYyeGAAAAAAAAACgg2FGGQAAALRXhYWF3puJiYlNtdy8ebPb7Z41a9YzzzwzdOhQrTBCluW0tLSFCxfOmTNHb7l9+/YgZtxyWl3Ltddeu2bNmhEjRsTGxkqSZDKZ0tPTH3jggaVLl+otV65c6XK5QtmbPwJy5l988UW9Sua73/1uTk7OxIkTk5KSZFmWJMlisQwfPnz16tWTJ0/W2hw4cODYsWNX9nP+/PnTp09r8R133LF48eJBgwbFxcVp/ZhMpsTExKFDhy5cuHDLli133nln2w8fAAAAAAAAABBpmFEGAAAA7dWmTZv0eOzYsZIk+Wg8adKkW265pdEfTZkyZefOnaWlpUKIffv2zZ4923dXIdajR49FixbJciM17qNGjZo7d25OTo4Qwm63//nPf/7BD34Qyt780cYzf/r06Q8//FCLx4wZM2/evEZHR5blhQsX5ufnnzt3Tgjxwgsv/P73v2/Q8tSpU3o8Y8YMHznHxsbedtttzR6aEMLpdF64cMF3G20pKEVRfKwJBVVVxdfrdoU7FxiX9v/Qx8//e8N3YwAAgP/y7zver28hPB6P1LFufbmlNyDv+2eG3lD0xbgZdONosAK7x+Np7h00Ogjv13vYB13/nROQTCiUAQAAQLu0b9++f/7zn/qm77oHIcQ999zT1I8kSZo+ffr69euFEHa7vby8PCUlJVB5tt3ChQsbrWvR3Hzzza+//rq2nNCWLVu+//3v+67yCWxv/mjjmf/jH/+oxw8++KCPfCRJysrKWrRokRCitLT0q6++6tmzp3eDS5cuaYHFYomKimr5oTTiq6++uvXWW3236devnxDCbrdXVFQEZKcdmNPpdDqd4c4CHUqLPjrx/SGvoije8/K63e7WpwUAAAxGVVW3220Wwv31zJ2VlZWqFB3erILBbrfb7fZwZ4Ew8Hg8vOc1GgbdyCorK8OdAkItEgZd+9RaBKhQhqWXAAAA0J44nc6zZ88++eSTL7/8sv7gNddcM3jwYB/PyszMjI+P99EgIyNDj8vLy9ueZ6BYLJYhQ4b4aGAymaZPn67FNTU1xcXFIevNH2088/X19YcOHdLi6667zndXQoj+/fvHxsZq8UcffdTgp/rT7XZ7bW1tc7kDAAAAAAAAADogZpQBAABA5Jo+fbr3DCKNftd/4MCBP/vZz3z3M3r0aN8NEhMT9fjy5cstyTG4JkyY0OycLlddddXrr7+uxWfPnu3WrVtoevNHG8+8to6S5tprr212d5IkDRs2LDc3Vwjx+eefN/jpgAED9Pjpp59evHix1Wpttk8AAAAAAAAAQEfCjDIAAACIXIqieLw0+KnZbJ4/f/6zzz4bHd3MhNVdu3b13cC7h4ha+cW7tqMpXbp00eOvvvoqZL35o41n3juBXr16+bNHfbmlkydPNvhRnz590tPTtTgvL+/2229/9tlnjx07pk/aCQAAAAAAAADo8JhRBgAAAO2JzWbr06dP//79x4wZM3jw4KioKH+eFRMTE+zEgqRz587NttEXGxJCXLhwIWS9+aONZ76wsFCPH3jgAVmWxddr0KqqqgdCCEVRtEAvqKqurlZV1XsGHUmSHn/88aysrPr6eu2RAwcOHDhwQAiRkpIyZsyY0aNHZ2Rk2Gw2/zPs2rXrCy+84LvNhg0bhBAxMTEJCQn+92w0drvd6XRGRUV5/w8E2q7ZabS8mUwmX13J//VdI9+NAQAAvEmSZDKZhRAmk1kRQmgrw3asNwh1dXVutzs6OtpisYQ7F4RIfX29y+XSYpPJ1KJ302jXnE6n3W6XZTkuLi7cuSBEXC6X/nmaECI+Pr5Fb7fRfqmqWl1dLSJj0PWPYgKSCYUyAAAAiFw7duww+F8im50sR/z3H2sdDkfIegsB73fgdru97R2mpaW9+uqrGzZs+Mtf/uL9+KVLl/bs2bNnzx4hxKhRo+6++24/J7CxWq0TJkzw3ea1114TQphMJn/Ov2Fp8wnJssxZQhj5/pxFEpIQqr4pS8zRCwAAWkCWJVUI+evS26ioKKlj3fpqb9l442Mo3h8aSJLE0BuHoiiCQTcY7ftpuqioKFnmTbEhaK93ERmDrldnBqRQhv/BAAAAiFxhr1IPO3/WgdLfrojmSmEC21sImM2Br+y3Wq3333//n/70p0ceeeTaa6+9cs6bQ4cO3X///f/3f//X4CMAAAAAAAAAAEAHwIwyAAAAQOQqKytrtk1dXZ0ed+vWLWS9hUCXLl30ePPmzQGcxtlqtY4fP378+PGqql6+fPns2bMffvjhBx98oK/c9Oabb/bq1WvSpEmB2iMAAAAAAAAAIBIwowwAAAAQuU6fPt1sm9LSUj3u0aNHyHoLgW984xt67J1YAEmSlJycPHLkyIceemjbtm2zZ8/Wf5STk+M9vw4AAAAAAAAAoAOgUAYAAACIXB9++GGzCwB98skneuxdWRLs3kKgT58+enz48OFg785sNk+bNm3y5MnaZl1dXXl5ebB3CgAAAAAAAAAIJQplAAAAgMhVX19/8uRJHw08Hs+bb76pxTabrXv37iHrLQQSExMzMjK0eOvWrW63OwQ7HT9+vB5XV1eHYI8AAAAAAAAAgJChUAYAAACIaC+//LKPBYD2799fU1OjxT/60Y8kSQplbyEwa9YsLaivr3/llVdCsEfvWWTi4uJCsEcAAAAAAAAAQMhQKAMAAABEtC+//HLNmjWNVrfk5eW9/PLLWhwTEzNlypQQ9xYC3/zmNydMmKDFe/bs2bBhg8fj8f2UsrKy1157rba2tsHjW7duPXbsmO+n19fXv/baa1pssVhSU1NbmzgAAAAAAAAAIBKZw50AAAAAgCZNnTr17bfffvfdd7/44os5c+YMGDAgOjpaUZSysrKdO3fu3r1bb5mdnR0dHR3K3kLmwQcfPHPmzIULF4QQO3fu3L9//5133jly5MhOnTppSSqKUl9fX1ZW9tlnn+3du/fs2bNCiGnTpjXo58yZM6+//np0dPTkyZPHjh3bs2fP+Pj4qKgoIYTH46mqqsrLy/vf//3fyspKrf38+fMjYU4dAAAAGFNSfPqsH/wh3FkAAAAAHRCFMgAAAEDkuvrqqzMyMp599tmzZ88uXry4qWb33HPP6NGjQ9xbyMTExKxevXrFihXHjh0TQtTU1Kxfv77VvTmdzt27d3tXBTXqpptuuv7661u9FwAAAAAAAABAZKJQBgAAAIhoEyZMsFqtTz31lNPpvPKnsbGxv/rVr0aMGBGW3kLGYrE88cQTH3/88Zo1a/QZXxolSdKNN944derU+Pj41u0rPj5+/vz5EyZMYDoZAAAAAAAAAOh4KJQBAAAAIt1VV121adOmf/7znwcPHvz8888vX76ckJCQmZk5duzYq6++2mQyhbG3kJEkacyYMX/4wx8KCgo+/vjjU6dO5efnX758WQiRlpbWs2fPfv36DR8+fODAgdpqSlfKzs4uLS0tKCg4d+7cF198ceHChdLS0vr6ekVREhMTe/XqNWTIkMzMzIEDB8qyHNqDAwAAAAAAAACEiKSqarhzAAAAAPAfxcXFc+fO1eInn3xy2LBhkdMbWmHevHmHDx9esGDB7Nmzw51L5KqpqbHb7TExMa2eCgiBZS+5HOxd1NXV2e12LZZlOSkpKSi7UVVztN+lb2ZJjmu80k4IoarCrf5noimPqnpU5p36N6VO+H8uXC5XdXW1JEnJyclBzAmRRBt0fTMhIcFs5st7RlFeXi6EiI+Pb6qUGR1Pt+4pdXV1Wrzol4t/tXRZWNOJFEnRLllVhKKqHkV4hBBCsiWIjlWgX1VV5XQ6Y2NjbTZbuHNBiFRXVzscDi02m83BuqVH5LHb7TU1NSaTiVt643A4HN639J06deJrZgahKIp2Sx8Jg15bW3vdddcJIbZu3dq3b9829sabUgAAAAAA8F8saUH/jNtTG6XUR2uxLMuWThH/qbokInTGrUiQ2IK2TqesCockSQmJlqAlhMjicplU4dA3ExItFMoYh9MVLYRISLRQKGNMsVGmTtbocGcRIf59HiizBQAAiAS8KQUAAOiw7Hb7zJkztTgrK2vSpElXtrl48eL8+fO1ePny5a2ebsSffXUMp06dys7O1uK1a9d269YtvPk0S/92lxDiyJEjHXtGmXY3OgAAAAAAAACAEKNQBgAAIChmzpypryjhp40bNyYkJAQ2DY/HowWKojTaQFVVvU2w99Vh6Efa9mVMvf+fbN++PdjTV3b4oREBHR0AQItUHPviZM7bvtuMvLuLLNltLpcQQv0qwDPKVMelHI7tUVzvaL4pQktRFKfTqW9GV0SHfcpuhIx2r8ugG4pH/c+bDpc4X+k80IpOHFu+VC7Vdr77dlNSgN8jAwAAAIJCGQAAgCDxeDyBKkBBB8b/EwBAh1Fzrvizl9/y3WbUd74lOytihBBCBLye0Z4+4mSc+cil0kB3DABoAY9XwbpHlNW5P21FJ7UfHXV+er7Trd+nUAYAAADBQCE/AAAAAAAAAAAAAAAADIEZZQAAAIJux44dJpMp3FkAAAAAAAAAAAAYHTPKAAAABJ0kSeFOAQAAAAAAAAAAABTKAAAAAAAAAAAQYSrOnf/9pFnFR0+GOxEAAACgo2HpJQAAACCydO3addeuXYHqrUuXLnrco0ePQHULAAAAILhUVXF7wp0EAAAA0AFRKAMAABChVFUtKCg4evToiRMnzpw5U15ebjabe/ToMWDAgJEjRw4fPjw6OjrcObZG8I5LVdXjx4///e9/P3r06KVLl2JjYwcNGjR69Ohrr73WarX62YnH4zl8+PA//vGPvLy8ioqKpKSkQYMGjR8/fuzYseE94SUlJYcPH/7Xv/715ZdflpWVybLcuXPnvn37Dh06NDMzMy0tLSB7CdLoBGRoREBHJzTnEwAAAAAAAAAQaSiUAQAAiDi1tbV//etf33jjjaqqKu/HnU5nfn5+fn7+O++8I0nSggULJk+eLElSaLKqqKj45S9/WVpaqm1mZWVNmjSpRT0E8LguXrw4f/58LV6+fPmwYcOKi4uXLl1aXFzs3W1ubm5ubu7atWsXLVo0ceLEZjM8efLk8uXLq6ur9UfKysrKysoOHjwYExOzePHiq666qkWHHBDV1dW//e1vDx061ODxwsLCwsLCDz74QAiRkZFx7733DhgwoNV7CdToBGloROBGJzTnEwAAAAAAAAAQmeRwJwAAAICGsrOzN2zY0KBeoQFVVV9++eXHH39cUZQQpHTu3Ll58+YVFxd7PB5VVZcvX97SKhkR0ONSVdXzNSHE6dOntfSaarxq1ao9e/b4Tm///v0PP/ywdx2GN4fDsWzZMq2KIpQqKyvnzJlzZVVHA5999tmiRYvq6+tbvaNAjU4whkYEbnRCdj4BAAAAAAAAAJGJGWUAAAAiVO/evadOnZqRkZGSkhIbGyuE8Hg8FRUVubm5GzdutNvtQohPPvlk06ZNP/nJT4KaSW5u7hNPPKHFNptt1apV6enpre4t4Md1/Pjxbdu2qao6ePDgWbNm9e3bNzY2VlXVsrKybdu27du3T2u2bt26cePGJSUlNdXJiy++qG9++9vfvuWWW7p27SrLst1uP336dE5Ozpdffvn888/PmDGj1cfeCo8//nhdXZ0Wjxs3bvr06enp6VarVZIkRVFqamq0SVD0w2yjwI5OQIZGBHR0Qnw+AQAAAAAAAACRhkIZAACAiDNy5MjFixf36NGjweNms7lz587f+973brjhhqVLl3722WdCiG3btk2ZMiU5OTlIyezYsePVV1/V4u7duz/33HPx8fGt6ypIx7V582YhxKxZs2bMmKEvCSRJUlpa2sKFC3v16vXKK69oD27fvv2ee+65sgePx/Pkk0/qm48++uiYMWP0zdjY2GHDhq1evfrFF1987733tm/f3rLDboPz58+fPn1ai++4447bb7/d+6cmkykxMTExMXHo0KGzZ8/etWtXW/YVjNFp+9CIgI5OKM8nAAAAAAAAACAysfQSAABA0E2fPv2HPs2dO9e7/ezZs6+sV/AWExPz2GOPxcTEaJt79+4NRtqKorz88st6lcywYcNefPHFVlfJiGAe16RJk2655Ra9FMPblClTOnfurMX79u1TVfXKNvv376+trdWT9K7D0Mmy/OCDD/bt29fPlALi1KlTeux7rpTY2NjbbrtNmwOmdYI0Om0cGhHQ0Qnl+QQAAAAAAAAARCZmlAEAAAg6RVF8N/B4PC3t02q1Tp8+XZuxY+/evTNnzmxlck1wOp0rVqzIy8vTNidPnrxgwQJZDnqZdeuOq6nJSIQQkiRNnz59/fr1Qgi73V5eXp6SktKgzZ/+9CctiI2NnTp1qo+uFi5cuGjRIn9SCohLly5pgcViiYqKCtl+m9KK0Wnj0IiAjk4wzmdRUdHixYt9t3G5XEIIu91++fLlgOy0Q9J+DTqdTs6ScXhfHBVFYeg7AL2u0Qe1uZuitvB4PB63O3j9AwBCRrteVFVVma2WcOcCf2m39A6HQ3sHBCPwvqX3eDzc0huHNvQMuqE0+IZbZWVlo9+LQwdWVVUV7hREXV2dFjT7Bxd/UCgDAADQXmVmZmolCxUVFXa73WIJ2AeI1dXVDz/8cFFRkbZ51113+Z5+I7BaelyZmZm+57nJyMjQ4yurMS5duqTXT0ybNs1kMvnoqn///gkJCSF7V6Afl91ur62ttdlsodmvDy0anTYOjQj06ATjfNrt9k8//dR3m379+gkhFEVx8+fb5qiqylkyLIa+A/Cn8LeJ6cMCRFWV4O4AABBSHo9HcIfQ3iiKEpC/XaHd4d2cMTHohtWKr32ivYuE13tgc6BQBgAAIOh27Njh+w/8rZOYmKjHlZWVgSqUOX/+/C9+8Qv9S+FLliwZO3ZsQHr2U0uPa/To0f53eOU3Xc6dO6fHo0aN8t2VJEn/8z//s2vXLt/NAmXAgAF6/PTTTy9evNhqtYZm101p0ei0cWhEoEcnAs8nAAAAAAAAACDEKJQBAAAIutZNRKmqamFh4fHjxz/99NPz588XFxc7HA7vBt5f0qqqqurSpUtbExUiLy9v6dKl2lyaMTExzzzzTN++fdverbeAH1fXrl19N4iOjtZjp9PZ4Kf6xDlCiLS0NN9dia9nBwmNPn36pKennz9/XgiRl5d3++23T5gw4eabb+7Xr1+QKjwCOzptHBoR6NEJ/fkEAAAAAAAAAEQaCmUAAAAi0ccff7x+/fqSkhI/2zdaZNBSGzduzM/P1+KUlJRVq1ZduRROGwXjuGJiYtqS0oULF/TYn2qJ1NTUtuyuRSRJevzxx7Oysurr67VHDhw4cODAASFESkrKmDFjRo8enZGREaglmQI+Om0cGhHo0QnG+YyLi7vxxht9tyksLBRCmEymtp+QDsztdns8HpPJZDbzLtUotEHXYkmSvCvn0E5FRUU12yaoq9hLkizLchB3AAAIrejoaDO30O2Hy+VSFIVbekPhlt6wPB6P2+1m0A1FURSXy6VvRkdHt+6roWh3VFXVPgSOhEEP7Jpf3K8AAABEnJycnN27d4d+v3qVjBDizjvvDHiVTLiOyzfvag9//roW4lqHtLS0V199dcOGDX/5y1+8H7906dKePXv27NkjhBg1atTdd9/dq1evtuzIIKMT8POZlpa2cuVK323mzZun5RYfH+9Pn8ZUU1Pj8XjMZjNnyThqa2v1qjVJkhj6DuBybGyzbaRgFrLIJjkYi10CAEJPu17YbLZo7hDaj6qqKqfTGR0dHajvciDyVVdX63+zNJlM3NIbh91ur6mpkWWZQTcOh8PhXSgTFxfHtxQMQlGU8vJyERmDricQkEwolAEAAIgs77//vl6vIMvylClTxo0b1717d5vNZjabJUnSC7eLiormz58fwF3fcMMNf/vb37TPOF588UWr1Tp+/PhAdR7G4/LN+7sv2rfffLdvsBRRCFit1vvvv3/27Nn/+te/Dh48mJub2yCHQ4cOHTp0aPr06XfddVfr6voNNTohOJ8AAAAAAAAAgIhFoQwAAEAE8Xg869ev1+KEhIQ1a9YkJyf7aBzYvV9//fUzZsz42c9+ZrfbhRBPP/10VlZWs8vK+CO8x+Vbly5d9Liuri4xMdF3+0uXLgU5o8ZpdUvjx49XVfXy5ctnz5798MMPP/jgA/10vfnmm7169Zo0aVJLezbm6ATvfAIAAAAAAAAAIhlzIgEAAESQoqKi2tpaLX7ggQd81CsIIS5evBjwBNLT09euXRsXF6dtrlmzZufOnW3vNuzH5UN6eroel5SUNNv+7NmzwUyneZIkJScnjxw58qGHHtq2bdvs2bP1H+Xk5CiK0tIODT46AT+fAAAAAAAAAIBIRqEMAABABPnqq6/0ePDgwb4bHz58OBg5pKamrl27Vq+W2LBhw6ZNm9rYZyQcV1P69Omjx5988kmz7f/2t78FMZsWMpvN06ZNmzx5srZZV1enLRnbIoyOLiDnEwAAAAAAAAAQySiUAQAAiCAOh0OPTSaT75b79u0LUhpJSUlr167t1q2btrlly5acnBxVVVvdYYQcV6NSU1P1qqAdO3b4Xlro9OnTlZWVIcmrBcaPH6/H1dXVLX06o9NAG88nAAAAAAAAACCSUSgDAAAQQVJTU/W4oKDAR8sNGza43e7gZWKz2VavXt27d29tc/fu3atXr251rUzkHFejbrvtNi2oq6vbu3dvU81UVV27dm2okmoB71lP9GWz/MfoNNDG8wkAAAAAAAAAiGQUygAAAEQQvTBFCPHSSy81WpSgquqWLVv27NkT7GQsFsvzzz+vr8Xz3nvvPf30076n9GhKRB3XlSZPnmy1WrV4/fr1R44cubKNVodx+vTpUCa2devWY8eO+T7n9fX1r732mhZbLBbvqhc/GWd0QnM+AQAAAAAAAACRjEIZAACACBIfH3/NNddocWFh4cKFC/Py8ux2u/ZIXV1dXl7eokWLNm3aJIS45ZZbgp1PdHT0ypUrMzMztc2PPvpo2bJlrZhTJNKOqwGz2bx48WJ987HHHlu3bl1xcbGiKEIIp9P52WefLVq0SFt16Ac/+EHIEjtz5sySJUtuu+22nJycvLy88vJyl8ul/cjj8VRUVLz//vtz586tqKjQHpw/f74kSS3di3FGJzTnEwAAAAiI5G/0mPv3TV2HDwp3IgAAAEBHYw53AgAAAPgvWVlZeXl5NTU1QogLFy78+te/brTZwoULR4wY8cYbbwQ7H5PJ9Nhjjz333HMHDx4UQuTl5T3yyCNPPfVUdHR0i/qJtONqYMSIEffdd9+6deu0zT179jQ6e0pWVlafPn3eeuutUObmdDp37969e/du381uuumm66+/vnW7MNTohOB8AgAAAAAAAAAiFjPKAAAARBar1bpu3bqBAwc21cBisSxbtuymm24KWUqyLGdnZ99www3aZn5+/s9//vP6+voWdRKBx9XAzTffvHLlSpvN1uhPzWbzkiVLbrzxxhBn5Y/4+PiHH354wYIFrZ7+hNHx1vbzCQAAAAAAAACIWMwoAwAAEHESExOfe+65U6dOvf/++8ePHy8sLBRCpKWlDRkyZNy4cZmZmVFRUSFOSZKkrKwsm82mTddRUFDwwAMP/OY3v4mPj/e/kwg8rga++c1vvv766x9//PE//vGPI0eOXL58OSkpacCAARMmTLj66qstFkuI88nOzi4tLS0oKDh37twXX3xx4cKF0tLS+vp6RVESExN79eo1ZMiQzMzMgQMHynJbK+CNMDqhPJ8AAAAAAAAAgMgkqaoa7hwAAAAAoMOaN2/e4cOHFyxYMHv27HDnErlqamrsdntMTEyLyu/QrtXW1uqTk8my3KlTp/Dmg7arPlP05Y4DvtsM+m6SJLvsdrskSVarNbAJ1FniT1i6VDhcge0WbefxeOx2u74ZGxtLTapx1NbWCiEsFovJZAp3LgiRHwwcaf/6Er/40XlLlt7Xik6c+y8olfakKTea4hqfVBIRqKqqyul0xsbGNjUVKDqe6upqh8OhxWazOSkpKbz5IGTsdntNTY3JZEpOTg53LggRh8NRXV2tb3bq1IlbeoNQFKW8vFxExqDX1tZed911QoitW7f27du3jb0xowwAAAAAAADaKr5f96G/uLXZZk6n015VJUmSLSUlsAnYhBgd2B4RIC6Xq7KyUt9MSkoym/lM0ijKysqEEImJiWGfnhAhI3stYGoSnW1RI1rRie3m1jwLAAAA8BOlXgAAAAAAAAAAAAAAADAEvr0BAAAA4yopKTly5MiJEyfOnDlTUlKiKEpiYmLPnj379OkzZMiQQYMGJSYmBnyndrt95syZWpyVlTVp0qSA76LDuHjx4vz587V4+fLlw4YNC28+QEfiuVzlvHAxjAk46utdX8/TLstyfcKlBg1M3axSQjPTDzgV2eGRfLdpO0UVNSzmEzgul6u2vlaSJK95uyEcdrPb3Zr/zCaPGl0f6f9B3W53TU2NvlkR72EVHuO4fPmyECIuzs00QsahqqoeS/bLouKLVnTirHRVlihCCFt6qjU9NWDJAQAAAEIICmUAAABgTGfPnn3ppZdOnz7d4PHS0tLS0tJPPvnkzTffFEL06tXr+9///oQJE6xWawD37vF4tEBRlDZ2NUYtJfoAACAASURBVHPmTLvdrsXbt28P+0qxgaWqqn6uAARW9cHcomdfCncW/9GwTEaI1PU/8kTXNNLUi8PT41Dp5SCl5CXur+drg78XGFrU5V4fnXC24okZMVGm988FOh0AaD2X8z/vcUxfHVTeb8011FmQtPtneUKIq5b/dMSjPw5YcgAAAIAQgqWXAAAAYDSqqm7evPmhhx66skrmSgUFBS+99NJ9990XgsRax+Ml3LkAAAAAAAAAABDpmFEGAAAAxrJ79+7Nmzfrm8OGDZsxY0a/fv3i4uJkWVYUpaqqqqCg4P3333/33XfDmCcAAAAAAAAAAAg4CmUAAABgIBcvXnzllVf0zWXLll111VXeDUwmU3JycnJy8ogRI+bNm/f2229v2rQp5GkCAAAAAAAAAICgoFAGAAAABrJt2zY9vv/++xtUyTRgsVh+9KMffe9739u6dWsAc7BYLLt27QpghwAAAADar8rq82+//+jk8YvTUgaGOxcAAADAEORwJwAAAACEiKqq+/fv12JZlr/97W/78yyr1Xr33XcHMS0AAAAABqYKoSgeIdRwJwIAAAAYBYUyAAAAMIqqqipFUbQ4IyPDZDKFNx8AAAAAAAAAABBiLL0EAAAAo6ivr9fjhISE4O3I4/EcO3bs4MGDJ06cKCkpcbvdQ4YMefLJJ4O3x4BQVbWgoODo0aMnTpw4c+ZMeXm52Wzu0aPHgAEDRo4cOXz48Ojo6NZ1e/z48b///e9Hjx69dOlSbGzsoEGDRo8efe2111qt1oAfhe9MgnGAAAAAAAAAAIB2hEIZAAAAGIXZ/J+733PnzgWkz4sXL86fP1+Lly9fPmzYsPz8/OXLl1dVVXk3c7lcemy322fOnKnFWVlZkyZNCkgmbVFbW/vXv/71jTfeaJC20+nMz8/Pz89/5513JElasGDB5MmTJUlqqp8rz0ZxcfHSpUuLi4u9+8zNzc3NzV27du2iRYsmTpwYkEOoqKj45S9/WVpaqm02OLGBOkAAAAAAAAAAQHtHoQwAAACMIjExUY8vXLhQWlrauXPnNvapqqrH49E3Dx06tHz58mafpT9FXwoqvLKzswsLC323UVX15Zdf/uijj5YuXSrLjS/h2uBsnD59etGiRaqqNtV41apVtbW1N998c6sz15w7dy47O9tutwshZFlesWLFsGHDvBsE6gABAAAAAAAAAO0dhTIAAAAwiqioqMGDB3/++efa5ooVK1auXGmz2QLV/+HDh3fs2CGE6N+//913392/f//Y2FhVVUtKSg4ePBiovQRP7969p06dmpGRkZKSEhsbK4TweDwVFRW5ubkbN27UylA++eSTTZs2/eQnP2m2t+PHj2/btk1V1cGDB8+aNatv377a2SgrK9u2bdu+ffu0ZuvWrRs3blxSUlKr087NzX3iiSe02GazrVq1Kj09PQQHCAAAAAAAAABoj/iiJAAAAAzkjjvu0ONz5879+Mc/fu21186fP9/UrCct8uabb6qqOm3atOeff3748OFWq1WSJFmWu3btOmPGjLb3HzwjR45cu3btmjVrJk+e3LNnTy1zSZLMZnPnzp2/973vvfbaaxkZGVrjbdu2VVRUNNvn5s2b3W73rFmznnnmmaFDh+pnIy0tbeHChXPmzNFbbt++vdWZ79ixQ6+S6d69e05OTqNVMsE4QAAAAAAAAABAe8SMMgAAADCQb33rW+PGjfvoo4+0TY/Hs23btm3btplMppEjRw4bNmzgwIE9evSIj49vXf8jRoz46U9/KklS4FIOhdmzZ/tuEBMT89hjj911110Oh0MIsXfv3pkzZzbb7aRJk2655ZZGfzRlypSdO3eWlpYKIfbt2zd79uyWnjRFUdatW6fPTDNs2LDHHnssOjq60cZBOkAhRFVV1d69e3230fp0u93apDVolLZol8fj4SyFjMvlCncKzfD4sTidooZiAbuAFFMCvrX6v5miKqbApgIAEUD9+jaAu+h2RFtZmFt6Q/FefFlRFIbeOLS3k6qqMujG4Xa7vTcdDke7+/wTraO/V42EQdd/5wTkgxoKZQAAAGAs2dnZOTk5e/bs8X7Q4/Hk5ubm5uZqm6mpqZMnT540aVJaWlqLOp8/f37Y3zAEidVqnT59+ubNm4XfdST33HNPUz+SJGn69Onr168XQtjt9vLy8pSUFP+TcTqdK1asyMvL0zYnT568YMECWW7TfJmtOEAhRFlZ2bPPPuu7Tb9+/bSca2pq2pKhEbjdbs5SyGglXJFM8XiafVV73J7mmgSAqlAog6Dz/jtTi6h+lJQBQLvj/vqXG3fR7Y7T6XQ6neHOAmGgKAqvVqNh0I2strY23Ckg1CJh0Ovq6rQgIIUyLL0EAAAAYzGZTPfdd9+LL76YmZnZVJuysrI//vGP99577/Lly6uqqvzsOS0trdF1fzoM/YxVVFQ0+52hzMxM3xPz6EsdCSHKy8v9T6O6uvqBBx7Qq2Tuuuuu+++/v41VMpoWHSAAAAAAAAAAoD2iUAYAAABG1KdPn8cff/y11177xS9+MWbMGJOp8VULDh06NGvWrBMnTvjT57XXXhvQHCNOYmKiHldWVvpuPHr0aP97u3z5sp85nD9/fu7cuUVFRdrmkiVLZsyY4edzm9WiAwQAAAAAAAAAtEcsvQQAAADjSkxMnDhx4sSJE1VVra6uLioq+vTTT/fv33/+/Hm9jaIojzzyyCuvvNKlSxffvfXs2TPI+QaXqqqFhYXHjx//9NNPz58/X1xc3GBlFsVrcYeqqirfJ6Rr166+dxcdHa3Hfk7NnZeXt3TpUm1qzZiYmGeeeaZv377+PFET2AMEAAAAAAAAALRHFMoAAAAAQpKkhISEhISEwYMHz5gxo7i4+He/+90nn3yiN1i5cuULL7zgu5Pk5OQgpxlEH3/88fr160tKSvxs32xpS0xMTJuT+i8bN27Mz8/X4pSUlFWrVqWkpPj/9IAfoKZPnz7/7//9P99t7r//fiFEbGxsixI2mpqaGofDER0d7XvFLgTQZZvN34XlwsQcFaUIh+82UVGh+FhDNjEdL4LObDYL4delpwGTiQ/3AHRAUV//cuMuuh2pqqpyuVwWi8Vms4U7F4SI9j5Oi81ms/csrejY7HZ7bW2tLMvt+qMwtIjD4aipqdE3k5OTA7IMOiKfoigVFRUiMgbdYrFoQUAy4b00AAAA0FDXrl2XLVu2cePG7du3a4+cPXu2qKioe/fuPp5lNrfXu+ucnJzdu3eHO4tm6FUyQog777yzRR+XB+8AZVn2nhqnUZIkaf9qARrFWQq9yD/V/uUX6UcBAABa4+srPPeH7Qi39GDojYPXuwE1GGtG3zj0gY6EQQ9sAu31o3wAAAAg2H7yk5+89957Wsm8EOLEiRO+C2Xaqffff18vIpFlecqUKePGjevevbvNZjObzd5vgYqKiubPnx+uPG+44Ya//e1vHo9HCPHiiy9ardbx48f788T2coAAAAAAAAAAgBBgTiQAAACgcbIsf/e739U3v/jiizAmEyQej2f9+vVanJCQ8Oqrr957773f/OY3k5OTo6OjZVn2rtPXilTC5frrr3/ppZf0CTaffvrpv/71r80+qx0dIAAAAAAAAAAgBCiUAQAAAJrUo0cPPa6vrw9jJkFSVFRUW1urxQ888IDvtaUvXrwYkqSalJ6evnbt2ri4OG1zzZo1O3fu9P2U9nWAAAAAAAAAAIBgo1AGAAAAaFJNTY0eJyYmhjGTIPnqq6/0ePDgwb4bHz58OMjpNC81NXXt2rV6vcuGDRs2bdrko327O0AAAAAAAAAAQFBRKAMAAAA06eOPP9bjgQMHhjGTIHE4HHpsMpl8t9y3b1/wM2peUlLS2rVru3Xrpm1u2bIlJydHVdVGG7fHAwQAAAAAAAAABA+FMgAAADCKurq6nTt3ulwuP9sXFRXl5ubqm83OR9Iepaam6nFBQYGPlhs2bHC73cHPyC82m2316tW9e/fWNnfv3r169epGa2Xa6QECAAAAAAAAAIKEQhkAAAAYyIYNG2bOnLl9+/a6ujrfLYuLi7Ozs/XNcePG6cv9dCR6rYkQ4qWXXmq0UkRV1S1btuzZsyeEeTXPYrE8//zzevXSe++99/TTT3s8ngbN2u8BAgAAwCCS4tNn/eAPaSmDwp0IAAAAYBQUygAAAMBYnE7nxo0bb7/99ieeeOLAgQPnz5+32+3aj1RVraur+/zzz1944YW5c+dWVVVpj8fHxz/44IPhSzmI4uPjr7nmGi0uLCxcuHBhXl6efkLq6ury8vIWLVq0adMmIcQtt9wStkQbEx0dvXLlyszMTG3zo48+WrZsWYNSmHZ9gAAAAAAAAACAgDOHOwEAAAAgPHJzc71XVmpKcnLyqlWrrFZrCFJqo+nTp0uS5E/LH//4xzNmzNDirKysvLy8mpoaIcSFCxd+/etfN/qUhQsXjhgx4o033ghUtgFhMpkee+yx55577uDBg0KIvLy8Rx555KmnnoqOjtbbtOsDBAAAAAAAAAAEFjPKAAAAwCisVuuGDRtmz56dnp7uT/vY2Ng5c+b8/ve/79y5c7BzCwhFUTz+UVVVf5bVal23bt3AgQOb6tZisSxbtuymm24KyUG0mCzL2dnZN9xwg7aZn5//85//vL6+Xm/Q3g8QAAAAAAAAABBAzCgDAAAAA0lNTZ02bdq0adOqq6tPnTp18uTJc+fOffXVVxcvXnS5XBaLpVu3bj169Ojfv/+IESN69eplMpnCnXIoJCYmPvfcc6dOnXr//fePHz9eWFgohEhLSxsyZMi4ceMyMzOjoqLCnaMvkiRlZWXZbLa33npLCFFQUPDAAw/85je/iY+P1xq09wMEgkGOt8X07R3GBBRFURRFiyVJuvL3rUnESnL0Fc/7Ly7VmthMkwBQ1Nh0G78lAkZVVY/H0+igG5nijO3fuTX/m7uYZEvvpIDnE1jaoOubJpPJzznw0AFoy2Iy6IYiyZL4+hWvRseLhB6t6ESNj04e9g0hhCUt0n/FAQAAoD2SvL9LCgAAAAAIrHnz5h0+fHjBggWzZ88Ody6Rq6amxm63x8TE6OVN6PBqa2v1yZ9kWe7UqVN480HIOJ3OqqoqSZJSUlLCnQtCxOVyVVZW6ptJSUlmM1/eM4qysjIhRGJiInXJxmGz2erq6rT40UcfXbFiRXjzQchUVVU5nc7Y2FibzRbuXBAi1dXVDodDi81mc1ISlW1GYbfba2pqTCZTcnJyuHNBiDgcjurqan2zU6dOsszCNYagKEp5ebmIjEGvra297rrrhBBbt27t27dvG3vjfzAAAAAAAAAAAAAAAAAMgW9vAAAAAGj37Hb7zJkztTgrK2vSpEmtaONPJwAAAAAAAACAdo1CGQAAAAARYebMmXa7vUVP2bhxY0JCghZ7PB4tUBSlqfbNtvGnE/jp8KP/++X2D/1srCiKqqqSJIV9EleEjDbo+qbJZApUzyO+8w21rOTKx5OfulHp7AjUXnRvnetcUFMX8G47MFVVtd+xpi8CNuhNidlprq4I/KCjpfRB18iyLElSGPNBKGk3Vwy6obicHj1+I6/401f+4f9zbx5h7tXtgo8GsVLUhM/+3oqs3JXdom/JasUTAQAA0CFRKAMAAAAgIng8Hr1OBR1AfXFF5cnCcGcBI1LGJLkKzl/5uEe2e5TKgO+uwhl/sb4q4N0iIKzFMeVllDEBQEh51cGKSrv7y/IW/B6usluqXb6uqoo5VtQUtyarquhWPAsAAAAdFd/VAwAAAAAAAAAAAAAAgCEwowwAAACAiLNjx44ArsMCAAAAAAAAAICGQhkAAAAAEUeSpBa1t1gsu3btamMbfzoBAAAAAAAAALRrLL0EAAAAAAAAAEBQVFaff/3tn5Zcyg93IgAAAAD+jUIZAAAAAAAAAACCQhVCUTxCqOFOBAAAAMC/USgDAAAAAAAAAAAAAAAAQzCHOwEAAAAAaCu73T5z5kwtzsrKmjRpUiva+NMJAAAAAAAAAKBdo1AGAAAAQEfg8Xi0QFGUVrfxpxMAAAAAAAAAQPvF0ksAAAAAAAAAAAAAAAAwBAplAAAAAAAAAAAAAAAAYAgsvQQAAAAg4kyfPl2SJB8NOnfunJOTE7J8mqIoit1u991GVVXtXy0AEGxNvtSC8xrklQ0AQOi04bLL3XjIcKoNi6E3Dn2sGXTjaDDWfMxlHN6v97APemAToFAGAAAAQMRRFMV3A4/HE5pMfDt37tytt97qu02/fv2EEPX19ZcuXQpJUpGi2RIiIEg8Hnejj7s9bl/1d4HeHSJBs1cTAEBEcblcvhu0+he7w+GoNtjdeLjU19fX19eHOwuEgdvtNtp7Xng8HgbdsCoqKsKdAkItEga9rq5OCwLyZp+llwAAAAAAAAAAAAAAAGAIzCgDAAAAIOLs2LHDZDKFOwsAAAAAAAAAQEfDjDIAAAAAIo4kBWOBFAAAAAAAAACA0TGjDAAAAAC0Umpq6pIlS3y3eeutt4QQ0dHRcXFxIUkqUkRFRYU7BRiULMuexh43yaYALGHd2O6C0CsCg7JLAGhfTKZm/mAhya38xW42m6MNdjceena73e12R0VFxcTEhDsXhIg26Fosy7LVag1vPggZl8vlcDgYdENxu912u13ftNlsvNsyCFVVa2trRWQMup5AQDKhUAYAAAAAWikhIeGHP/yh7zZ79+4VQpjNZovFEpKkIgWLZyFcmiqUkYJT0UKhTCQL+6d4AIAWkZurg2n1L3aTyRRjsLvx0HM6ncKQb3yMzOVyeRfKMPSG4nA4JEli0I3D4XB4F8rExMTwXtggFEXRCmUiYdA9nn9/3hOQN/v8DwYAAAAAAAAAAAAAAIAhUCgDAAAAAAAAAAAAAAAAQ6BQBgAAAAAAAAAAAAAAAIZAoQwAAAAAAAAAAAAAAAAMgUIZAAAAAAAAAAAAAAAAGAKFMgAAAAAAAAAAAAAAADAECmUAAAAAAAAAAAAAAABgCOZwJwAAAAAAAAAAQMeUFJ8+6wd/CHcWAAAAAP6DGWUAAAAAAAAAAAAAAABgCBTKAAAAAAAAAAAAAAAAwBAolAEAAAAAAAAAAAAAAIAhmMOdAAAAAAAIIcTWrVtb/VyLxbJr1642JhCQTqDLXDpryP3T/GxcV1fndDqjoqJsNltQs0LkqK+vdzgcWixJUmJiYqB6tlhlWZaufFxOskqWwH8MMmuA7FQC3mtH5nK5amtrAzvoTVF7C+FRg70XNMvtdtfU1Oib8fHxJpMpjPkglC5fviyEiIuLM5v5INootv3F5K7/dzxtWJcHfzrG/+cmWJRYS4aPBrKiypNGtSKraFdUK54FAACAjor3JwAAAAAMQVH+86ds/j4XArZeabZeaX42jq6psdvtMTEx8fHxQc0KkaO2tra+/t9/RpNluVOnTuHNp9W6xIY7g/bG6XRWuWVJklJsyUHfGaV3kcHlclVW/mda66SkJGomjMNapgghEhMTo6IoUzAKyataNcUaNSgtLsA7sLTmnqGREloAAAAYGG9KAQAAABiC0+nU49BXY7jdbu8E0IDT6XS5XJIkcZaMQxt0LZZlmaE3Dl7vBuRyufTXuxDC6XR6V6+iY9OG3ul0qirTOxmFLMuy/O/aOEVR+G1vHNol3mQyURhnHN639Kqq8no3Dm3o+SVvKN6vd21Tv9yjY1MURb+lD/ug6zMTBwSFMgAAAAAMoaysTI9DP3dFTk5OTk5OiHcKAAAAhNigQYP0eN++ffv27QtjMgAAAECjKPUCAAAAYAgff/yxHqenp4cxEwAAAAAAAABAuDCjDAAAAIAOzm635+bmbt68WdvMzMyMiYkJ2d6XLFlSX18fst21U4qiqKoqSVLYJ3FFyLzzzjsHDhzQ4oSEhMWLF4c3H4SMqqrasjsmkyncuSBEzpw58/vf/17fXLhwYY8ePcKYD0LJ4/EIIWRZliQp3LkgRH75y1/qSzNMnDhx2rRp4c0HIcMtvQFt3rz56NGjWtyjR4+FCxeGNx+EDK93Azpy5MjWrVv1zUcffdRms4UxH4SSdksfUW/hA/IdSAplAAAAAHRY69at27NnT4MH58yZE8ocevXqFcrdAe3Fnj17CgoKtDg1NdV7mQYAHUxNTY3+ehdCpKen85IHOrBLly7pZeKdOnXi9Q50YE6nU7/Ex8XF8XoHOrAzZ85439L36dMn9MuaA4FFoQwAAAAAozCZTL/61a/4FjsAAAAAAAAAGBaFMgAAAAA6OJvN1r9//6uvvvq6666Li4sLdzoAAAAAAAAAgLChUAYAAABAh3Xffffdd9994c4CAAAAAAAAABAp5HAnAAAAAAAAAAAAAAAAAIQChTIAAAAAAAAAAAAAAAAwBAplAAAAAAAAAAAAAAAAYAgUygAAAAAAAAAAAAAAAMAQKJQBAAAAAAAAAAAAAACAIVAoAwAAAAAAAAAAAAAAAEMwhzsBAAAAAABgOEOHDp02bZoWx8XFhTcZAEGVmpqqv96FEImJiWFMBkCwTZ061el0avGgQYPCmwyAoBo1apTVatXi7t27hzcZAEHVs2dP71v6mJiYMCYDBISkqmq4cwAAAAAAAAAAAAAAAACCjqWXAAAAAAAAAAAAAAAAYAgUygAAAAAAAAAAAAAAAMAQKJQBAAAAAAAAAAAAAACAIVAoAwAAAAAAAAAAAAAAAEOgUAYAAAAAAAAAAAAAAACGQKEMAAAAAAAAAAAAAAAADIFCGQAAAAAAAAAAAAAAABgChTIAAAAAAAAAAAAAAAAwBHO4EwAAAAAAAB2Qx+Opqqq6ePFiYWHhmTNnPv/884KCAlVVhRDjxo3Lzs5uUW9ut/ujjz46dOjQ0aNHq6urk5KSMjMzR48ePWrUKFnmW0BApHO5XLfeeqs/LYcPH/74448HOx8AwcDFGujYuJoDHQlv2AEKZQAAAAAAQICpqvrDH/6wqZ96PJ4W9Xbo0KHnnnuuvr5ef6SkpGTfvn379u1LTExcunTpgAEDWp8rgJDw84XvdruDnQmAYOBiDRgBV3OgY+ANOyBYegkAAAAAAESyd955Z/ny5d4funmrrKxctGhRbm5uiLMCAAA6LtYAABgT9wBov5hRBgAAAAAABF5KSkpGRsaAAQN69+7drVu35OTk3/3ud++9916LOjl58uT69eu1ODk5+aGHHhoyZEh0dHR9ff2RI0fWrFlTV1cnhHjiiSdycnK6du0a+MMAEGhbtmyJjY0NdxYAAoaLNWBAXM2B9o437ACFMgAAAAAAIMAkSXr11VcbPNjStclVVX322We1uHPnzi+99JL+cbzVar3mmmuGDBly3333aR+9/fa3v33mmWfanDiAoJMkKdwpAAgYLtaAMXE1B9o13rADgqWXAAAAAABAZDp58mRpaakW//rXv77yS6vJycnZ2dla/Nlnn128eDGk+QEAYHhcrAEAMCbuAdDeUSgDAAAAAAAi0a5du7Sgd+/effr0abRNZmamzWbT4v3794cmMQAAoOFiDQCAMXEPgPaOQhkAAAAAABBxVFX9xz/+ocVTpkxpqpkkSd/97ne1+MMPPwxFZgAAQAjBxRoAAKPiHgAdAIUyAAAAAAAg4pSXl7vdbi0eNGiQj5bDhw/XgqKiIrvdHvTMAACAEIKLNQAARsU9ADoAc7gTAAAAAAAAaKisrEyP09LSfLTs3r27HldVVVksliCmBaDNdu7cmZ+fn5+fb7fbk5KSBgwYMHTo0LFjx6ampoY7NQAtw8UaMCyu5oDBcQ+ADoBCGQAAAAAAEHHKy8v12PdHafqS50KIyspK3x/SAQi7P/7xj3pcUlJSUlJy8ODB9evXjxo1KisrKzk5OYy5AWgRLtaAYXE1BwyOewB0ACy9BAAAAAAAIo7+uZvJZJJlXx9fxMTE6HFFRUVw0wIQNIcOHZo9e3Z+fn64EwHgLy7WABrgag4YBPcA6ACYUQYAAAAAAEQch8OhBVar1XdL70/lXC5XEHMC0AYjRoy47rrrBg0alJKSYrFYJElSVbWmpiY/P/8Pf/jDuXPnhBAejyc7O/vVV1/lm+hAu8DFGjAaruYANNwDoANgRhkAAAAAABBxVFXVAkmS/H+WoijBSQdAm0RFRa1YseKGG27o2bOn1WqVZVmSJFmWExISRo0atXr16jlz5mgtFUVZuXJleLMF4Ccu1oChcDUHoOMeAB0AhTIAAAAAACDi6PMz19XV+W7p/Vmb96zOANoLSZKmTp06depUbfPzzz8vKSkJb0oA/MHFGoCOqzlgKNwDoANg6SUAAAAAANC8ioqK2bNnN/XTDRs2BHZydb03t9utKIqPVc+dTqceJyUlBTAHAD4E/HfCHXfc8fbbb2vxp59+mpaW1qb8AAQfF2sADXA1BwyCewB0AMwoAwAAAAAA/OJpWsD3lZKSosf68ueNqq2t1ePExMSAZwKgKYH9nWCz2bp166bFp06dCmimAIKCizWABriaAwbBPQA6AAplAAAAAABAxElNTdVj39O2FxUV6TGfuwHtmv6ntZqamvBmAsAfXKwBXImrOWAE3AOgA2DpJQAAAAAA0Lzk5ORdu3aFbHcpKSlms9ntdgsh8vPze/fu3VTLY8eOaUHXrl0tFkuI8gMMLxi/E4qLi7XAZrMFtmcAwcDFGsCVuJoDRsA9ADoAZpQBAAAAAAARR5KksWPHavE777zTVDNVVf/85z9r8YQJE0KRGYDgqKur079vOmDAgPAmA8AfXKwBNMDVHDAI7gHQAVAoAwAAAAAAItGUKVO04OzZs4WFhY22OXr0aHV1tRbfeOONIcoMQBBs3bpVjzMyMsKYCQD/cbEG4I2rOWAc3AOgvaNQBgAAAAAARKIhQ4YkJydr8YoVK+x2e4MGlZWVzzzzjBYPHDjw/7d35/ExnfsDx2cSIZYMEUVIuaJBYqlY21ouLUqorbbbqtbWTRdqq6oWbXG96KXopdq03leLxQAAIABJREFUVeoqjdLal6q1hEaaX1RCQgQJIZvsyZz5/TG/+7zOLzNz5mQyk5lkPu+/njPzPc95znOecw453zmPv79/hbYPgP0cOHAgIiLCWA4MDOR0BioLbtYABO7mgFvh3wCo7EiUAQAAAAAArkir1c6ZM8dYTk1NnTZt2v/8z/8UFxdrNJrCwsLIyMjXX389JyfHGDBjxgynNRSAoqysrKVLlx4+fDgpKSk3N1ev1xs/NxgMeXl50dHRs2bNWrdunfFDrVY7f/585zUWQNlwswbcBHdzAKXwbwBUdlqDweDsNgAAAAAAgKrm2LFjq1evln8i/p6u0Wg8PT3lX7388suDBg0yW89PP/0UHh6uvK25c+f26NHD1pYCcKzMzMwJEyaU+lCrNfNnSa1W+/HHH7dv376imgbAPrhZA1Ued3OgiuE/7EA1ZzcAAAAAAABUQQaDQf6HtlJKfSVJkqXI4cOHN27ceOXKlYWFhabf1qlTZ8GCBcHBweVpKoCKZ/pc7fHHH3/llVfq16/vlPYAKA9u1oB74m4OVF78hx0gUQYAAAAAALi0xx577Pvvvz916tT58+cvXryYk5NTt27dzp07d+3atVu3bqV+6wbA1dSrV2/Lli3Xrl27cuVKfHz8rVu37t+/n5eX5+Xl1aRJkxYtWnTs2LFjx46+vr7ObikA23GzBqo27uYALOHfAKikmHoJAAAAAAAAAAAAAAAAbsHD2Q0AAAAAAAAAAAAAAAAAKgKJMgAAAAAAAAAAAAAAAHALJMoAAAAAAAAAAAAAAADALZAoAwAAAAAAAAAAAAAAALdAogwAAAAAAAAAAAAAAADcAokyAAAAAAAAAAAAAAAAcAskygAAAAAAAAAAAAAAAMAtkCgDAAAAAAAAAAAAAAAAt0CiDAAAAAAAAAAAAAAAANwCiTIAAAAAAAAAAAAAAABwCyTKAAAAAAAAAAAAAAAAwC2QKAMAAAAAAAAAAAAAAAC3QKIMAAAAAAAAAAAAAAAA3AKJMgAAAAAAAAAAAAAAAHALJMoAAAAAAAAAAAAAAADALZAoAwAAAAAAAAAAAAAAALdAogwAAAAAAAAAoMyCg4Or/9eDBw+c3RzYzQsvvCCO7LVr15zdHAAAAMDOSJQBAAAAAAAAKoG4uLjqMjVr1iwsLHR2o+DWSkpKiv/L2W2BPcmPrMFgcHZzAAAAADsjUQYAAAAAAACoBDZs2FAsU1BQcOjQIWc3CgAAAACASoZEGQAAAAAAAMDVFRcXr127ttSHS5cudUpjAAAAAACovEiUAQAAAAAAAFzd0aNHTWe3OX36dGpqqlPaAwAAAABAJUWiDAAAAAAAAODqli1bJspt2rQR5S1btjijOQCqsq1btxr+KzAw0NnNAQAAAOxMazAYnN0GAAAAAAAAABalpaU1bNjQWPb19Y2MjHzkkUeMiw0aNLhz546HBz+HgxMEBQVdvXrVWM7Ozvbx8XFuewAAAABADf4LDQAAAAAAALi0rVu3ivLMmTNbtmzZsWNH4+K9e/eioqKc1C4AAAAAACof3igDAAAAAAAAuC6DwdCkSZPU1FTj4vXr15s3b75169bnnnvO+MlLL7309ddfO6+B/6ekpOTMmTP79+8/e/ZsTExMdnZ2nTp1unfv3qtXr+HDh7du3drmmvV6/e+//7579+7ffvvt6tWr2dnZGo1m+/btw4YNk4elp6dfuXLl0qVLMTEx8fHx165du3v3bk5OjpeX18MPP9ytW7fHH3/8mWee8ff3t6ENxcXFv/zyy759+w4ePHjnzh2dThcSEjJgwIBRo0YFBQXZvGsaR/abSpIkRUVFHTt27OzZs2fPnr13754kSQ0bNgwICAgJCenSpUu3bt2Cg4O9vb1N1zX7RhmDwXD+/PkdO3YcOXIkPj5er9e3bNmyV69eo0eP7tWrl6enp5pWOfRoCnZpqlCFB0mZ2LdX1YuPjz9w4MCxY8diYmJu3bpVUlJSu3btRo0aBQQEBAcHd+7cuVOnTq1atapRo4bVqspzUphKTk7eu3fvyZMnT5w4kZaWVr169eDg4N69e/fp06dv375q2mOJymujkYuMoqKioqNHj+7cufPkyZNJSUkeHh4dOnQYPHjws88+26pVKxsqdOh+lamHnc5eXVExl9/K1bcAgKrJAAAAAAAAAMBVXbx4Ufwpr02bNsYPjY+UhNzcXEur79692+u/hg4dqn67GRkZYsXq1avn5eVZiiwpKdmwYUPt2rUV/gjZvn37v/76y+pG27RpIzaanZ1tMBh+/fXXBg0amFYYEREhX/GHH35Q+efQ3r173759W30/GAyGbdu26XQ6SxU+9dRT9+7dMxgMGzduFI3/6aefrFZrx36zTUlJycaNGxV2TfD19TVbg5gCTKPRGI9XbGysQlKIv79/bGys1YY54miaDi27NFWoYoNk/Pjxop2JiYmWwhzdqyrFxMR06dJFzYBp1qyZclXlPynkEhISevTooVCJp6fn8uXLi4uLrVZl87XR4LxRZNrmvXv3KkzQNnDgwPv376uv3777VZ4eVrZv3z5R88CBA9WveO/ePbGit7d3fn6+pUg7dkXFXH7t1bcAAJQHUy8BAAAAAAAArmvdunWiPGfOHGPBx8dnxIgR4vM9e/ZYWr1fv37F/7V79+6srCyV242IiBArjhs3rmbNmmbD0tPTO3Xq9Morr+Tm5irUFhMTExwcLN8Xs0pKSsRGDQbDypUr+/bte+/ePdNISZJU7kgpx48fb9KkiUKPyRkMhhkzZowdO7ZUZpLckSNHAgMDk5KSJEmSN165Zvv2mw3u3LnTrl27qVOnKuxaWW3fvr1t27ZXrlyxFJCSktK2bduTJ0/aa4vqj6Z8aNm3qVVykJQ6E9WEaZwxADQazY8//ti+ffvz58+Xvyr7nhRbtmxp2bLlqVOnFGL0ev2cOXMeffTRzMxM5dpsvja6zihatmxZWFjYgwcPLMXv37+/ZcuW8fHxaiq3+3457u7z1FNPeXp6Gmvev39/WlqayhW///570aQpU6ZYeoORsw6xbZdfB93ZAQCwAYkyAAAAAAAAgIsqKCj46quvxKI8Oeatt94S5SVLlliqoWbNmi+99JJY3LVrl8pNL1u2TJSnTZtmNiYtLa1169Z//vmncVGn061cuTIxMbGwsFCSpMLCwri4OHk733jjjc8//1xlA9asWTNr1iyNRtOgQYPw8HDjXCqSJGVnZ+/Zs8fPz8/sWuPGjYuIiEhISMjOztbr9ZIkFRUVpaSkbNu2Tf76kyFDhshf1WPJvHnzVq1aJRaHDh0aFRWVn58vSVJBQUFsbOz48eM1Gk12dna3bt1iY2NV7ppD+02N5OTkoKCgy5cvi08mTpx4/vz5rKwsSZIkScrNzU1ISNiyZUv37t1V1vn111+PGTNGo9EEBARs3rw5NTXVeLyysrJ27drVuHFjEdm/f/+cnBw1ddr3aDqoqVV1kJSVIwaAVVeuXBk1apRYHDNmzOnTpzMzM42bLikpycjIiI2NXb9+fdu2bZWrsu9JsXnzZuNxN2rTps3BgwczMzONmVLXrl17//33xbeXLl1q166dQgZJKeqvja4zilavXj1v3jyNRlOrVq3169ffvn1br9fr9frU1NRvvvlGvMInMzMzNDQ0JSVFuTZH75dtdx9LvLy8Zs+eLRa/++47NWtJkvTxxx+LxTfeeMNsmOO6wkGXX/v2LQAA5eKsV9kAAAAAAAAAULZz507xd7wBAwbIvyouLq5evbr49saNG5YqOXfunAgLCQlRs93ExESxik6n0+v1pjFFRUWtW7cWYSNGjMjJyTFb24ULF+Q/hb9y5Yql7cofvxmFhYUpzDchHDhwYNOmTZYaYKTX6xctWiRqDgwMNLtfgrzfNBrNli1bzIYdOnTI9I+uO3futFStI/qtTPLy8po2bSqqbdGixbVr1xTiExISXn75ZbNfmR6v8ePHFxYWmkY+ePBAHrxo0SKFLTriaDqoqVV1kIwbN07UmZCQYCnMQb2q3sCBA0Wd27ZtUw7+66+/Xn/9dbNf2fGkMH4r75PXXnvN7OC8evWqfI6nAQMGSJJkqU4bro1OH0WmbQ4KCsrIyDCNfPDgQYcOHURYhw4dFE5nB+2XzXcfNW7evCmq9fPzU75YGcmvLa1btzYb44iuqJjLrx37FgAAm5EoAwAAAAAAALioLl26iAdL+/btK/XtjBkzxLeLFy+2VIler69Xr56IvH79utXtLly4UMRbeqQtj3n66aeVn5OdOXNGBPfq1ctSWKnHaR06dDDO1GBHkyZNEvX//PPPlsIkSZI/uF29erVCndu3by/1FFAhB8IR/VYmr776qqizWbNmDx48sLmqUsdL+Ul/dHS0iKxVq5aaR8VWqTyaDmpqFR4ktiXKVPAAkL+Wpnfv3uWpyo4nhcFg6NOnj6ht1KhRCn1SapqqX3/91VKkDddGp4+iUm328fHJzMy0FJyTkyN/m4jp/U5w0H45+u7Tq1cvUfmZM2esxsvPwe+//95sjHMPsc2XX0fc2QEAsAGJMgAAAAAAAIArkv8G3dPTs6CgoFSAfBoXnU5XUlJiqarFixeLyI8//lh5u3q9Xv6eA7OJNRkZGSLAy8vr/v37VndHPm/UpUuXzMaUepwWHR1ttdqyysrKEvUPHTrUUtjZs2dFmL+/v9WH+qGhofKWW8qBcFC/qXfr1i079nCp43X79m3l+DZt2ojguLi48mzaSOXRdFBTq+ogMdiaKFPBA0B+AVyzZo3N9dj3pIiKipLXppAaYrRgwQIRbOnFIYayXxtdYRSVarOl9y0JP//8swhu3ry52QQjx+2Xo+8+8tdKjRw5UjlYfmXTaDS5ubmmMU4/xDZffh1xZwcAwAYeGgAAAAAAAACuZ9OmTaI8adKkGjVqlAoIDg729/c3lrOzs+WP7UuZMGGCKK9YsUKSJIXtnj9/Pjs721gOCQlp3ry5acyWLVtEeebMmfXr11eo0OiDDz4QZdO3a5hq27at/HUd9qLT6cR0Lbt37y4uLjYb9t1334nyJ5984uFh5e+oS5cuVbP1Cug3Zd98840oh4WF2bGHR44cKUajJc8995woX758ufwbVXk0S7FXU6vqILFNxQ+ABw8elLMGI/ueFJs3bxblt956q27dusrx06dPF+W4uLjbt29b3YSaa6OrjSJvb+9Ro0YpxwwaNMjX19dYTkpKunbtmmlMxeyXI+4+ffr08fHxMZYjIiIyMzMVgn/44QdRfvnll2vVqmUa4/RDbNvl10F3dgAAbECiDAAAAAAAAOByJElavny5WHzllVdMY7Ra7dy5c8XiqlWrLNXWvHnzkJAQYzkzM/OPP/5Q2PS6detE+d133zUb8/nnn4vyxIkTFWoT2rdvL8rh4eFW41VWawP5FBhpaWmmAQaD4dtvvxWLYWFhZapTQQX0m/oGzJ49u5y1yb344otWYx599FFRTkhIsMt2rR5NU3ZpahUeJLap+AEg0g40Gk14eLjBYLCtHjueFAaDYePGjWJRPjeNJfXr15dP1bRv3z6rq6gZFa42ip577rnq1asrx3h6ek6ZMkUs7t271zSmYvbLEXefatWqye+n27ZtsxRpMBg++ugjsfj222+bDXOFQ2zD5ddxd3YAAMqKRBkAAAAAAADA5URGRopfnNerV6/UpC3CmDFjRHn79u0Kr1iYN2+eKG/YsMFSWH5+vvxNNsOGDTONycvLu3TpklgMDAy0VJucp6dn27ZtjeWkpCS9Xq8c36NHDzXV2qBhw4aibPb9Denp6aIndTpdo0aNrNZZq1YtsXeWVEy/KXjw4IF8lplu3brZXJUp+aw6ljRu3FiUU1JS7LJdq0fTlF2aWlUHic0qfgA0a9ZMlKOiot5+++3CwsKyVmLfkyIjI0O8jkuj0QQHB6tZa/To0aJ8/Phxq/FWr40uOIrUZJJpNJqnn35alI8ePVrq2wrbLwfdfSZPnizKH330kaXUrpiYmBs3bhjLgYGBZkeRixxiGy6/jruzAwBQViTKAAAAAAAAAC5n9erVovzOO+9YmtXF39+/S5cuYvGnn36yVOHQoUNFOTw83NIT5UOHDonysGHDdDqdacydO3dEOSQkpFq1apY2Wor8gV96erpysNVpXMySJCkuLu6LL7548cUXn3jiiQYNGtSoUaP6/zd16lQRb/ZH8PJH+J07d1a5aauP2Cum3xTIH2TWq1fP7HQeNmvQoIHVGPn0YQUFBVbj7XI0HdTUqjpIbOaIAaCsTp06gwcPFotr1qypX7/+3LlzY2JiSkpKVFZi35NCXlvjxo2tvkPFqF27dqJ84cIFq/FWr40uOIpatWqlJkye8GH65rMK2y/b7j5WNWrUaMCAAcbyrVu3Ll68aDZMfvdfuHChVqs1jamArnDQ5ddBfQsAgA3U3j4BAAAAAAAAVIycnJytW7eKxRdeeEEheM6cOeK9Mp988omlYJ1ON2zYsF27dmk0GkmSDh8+LH/GLMjne5o+fbrZqq5fvy7Kly5dql27trEsSZL4XJTlP5ovLi4W5dzc3Iceekhhv+rWravwrSlJkrZv3z5r1qybN2+qX8tswlBycrIoBwUFqayqZcuWygEV028qG9CxY0fbKrFEzZNas098zbLj0TRll6ZW1UFiM/sOAJU2bNjQrFkz0SF5eXnLly9fvny5h4fHgAEDhg0b1rt37zZt2lhKNNTY+6SQjwqrbw8S5KkDsbGxBoNBuaOsXhtdcBSprMrPz0+Uk5KSJEmSH7sK26+y3n3Ue++99w4ePGgsr1q1Sj59m1FeXp58UqSRI0earcehXeHQy6/j+hYAgLIiUQYAAAAAAABwLcZ0FqPWrVv/7W9/UwiWT2kRFxeXkJBg6WH89OnTRc0rVqwwTZRJS0s7deqUsezt7d2zZ0+z9ZT6GXpeXp5C8yyRP64zS+HZtqmCgoIBAwacOHHChpaYks9gVb9+fZVr1atXTzmgYvpNgXxSGPkkOHZhxxwI+x5NU3ZpalUdJDazexKMGk2bNr1w4cKTTz6ZkZEh/1ySpP379+/fv1+j0dSqVeu11157++23H374YdMa7HtS5OTkiLL6LBOR5WAkSZKnp6dCvNVrowuOopo1a6oJk79zSKPRlJSUyN/KU2H7Vaa7T5n06tXL19fXOFw3bdq0bt26OnXqyAPkr4WbOHFiqbEhOK4rHH35dVzfAgBQVtyTAAAAAAAAANeyZMkSUZ4zZ45ycO3atcUbZTQazZdffmkpsmfPnt7e3sbysWPH7t+/Xypg+/btojxt2jRLr4hQP61Jeah/7m4wGIYPHy5/sBcWFhYREREfH5+VlVVUVCRJkkFm48aNTmlwxfSbAvl7BVyWixxNB3H9QVLpdOzY8datWytWrLCUUpCXl7dy5cpmzZrNmDHDNDPAvieFvDb1V7Cy5hi57SiqsP1yXNaXh4fH+++/LxYjIiJKBSxevFiULb3UTeOwrqiAy69TMuoAADCLRBkAAAAAAADAhSQmJl66dEksTp06tbo1P/zwg4j/7LPPLD1Cq1at2rRp08Tijz/+KP/WYDD885//FItTpkyx1EL5L+DHjx9vsIn62Wqs2rdv34EDB4zl2rVrX758ec+ePSNGjAgKCtLpdF5eXqWezOn1euUK5TuYmZmpshlWI53eb/I5L1JTU22ux6HsfjQdpKoOksqoZs2aM2fOzM7Ojo6OXrFiRffu3c2GrVq1qm/fvvK5aTT2Pil8fHxE+e7duyrXys3NlS+W/5UbLjiKCgoK1ISVmr6nVLKmC+6XDV588UVRXrRokfyr+Pj4uLg4Y7lZs2bt27e3VImDuqKyXH4BALALEmUAAAAAAAAAFxIeHi5flCSp2Bp5fF5ensKkCZMnTxblZcuWyb+Kj4+/ceOGsdysWbPWrVtbqkQ+FVRUVJSqvXKkefPmifK+ffsUWm508+ZN5YCAgABRvnLlispmJCQkKAc4vd/kDYiOjq74Bqhh96PpIFV1kFReHh4eHTp0mDlz5u+//15QUHDx4sVFixY1aNBAHnPq1Kmvv/5a/ol9Twr57E7yfEdlKSkpohwSElL+V2644ChKS0tTEyafUahZs2alcoZccL9s4OfnN3ToUGO5VF7sunXrRPnDDz9UGAkO6orKcvkFAMAuSJQBAAAAAAAAXEVJScm//vWvclayYsUKS1+1adNGPOC/du2a/AG/PEFn7ty5Co/o5A+DY2NjTWczqUiFhYV//vmnsazT6Xr27Gl1FauPw/39/UX5woULKlty/vx55QCn91uTJk1EOSMjIy8vr4IbYJUjjqaDVNVBUjXUqFHj0Ucf/eCDD+7evXvkyBGdTie+WrBggTzSvieFfFSkpKSoPHzyVInOnTuXpwFGLjiKrl69qibs+vXrohwaGlrqWxfcL9vI81HWrl1rLBQWFsoTZUaPHq1QgyO6ohJdfgEAsAsSZQAAAAAAAABXcfLkSfGktnv37urnUCguLq5Vq5Zxxb1792ZkZJitX6vVvvvuu2Lxm2++MRZKSko+++wz8fmYMWMUGqnT6Ro2bCgWxaM1p5DPb/L3v//d6ssYSkpK9u/frxzj5+dXu3ZtYzkzM1PNuxDy8/Ot9oPT+83Hx6d58+ZiMTIysoIbYJUjjqaDVNVBUsVotdonn3zy0KFD4pOUlJQHDx6IRfueFPXr15fPvvTXX3+pWWvHjh2i3Lt37/I0wMgFR9HevXvVhMlP5yeffLLUty64X7bp1q2b2JENGzbk5+drNJq9e/eKmYzGjx8vH0imHNEVlejyCwCAXZAoAwAAAAAAALiKTz/9VJTffPNN9StWq1ZtypQpYnH79u2WIuVJMKtXrzY+mTtz5kxBQYHxwz59+pSar8TUW2+9Ja9EfTvtrqioSJS9vb2txkdGRlr98b2Hh8cLL7wgFg8cOGC12tOnT1uN0bhAv73zzjuiLB9sLsIRR9NBqvAgqXq6du0qH07yRBmNXU8KrVYrvw5v3rzZ6ipZWVmHDx8Wi4MGDSpPAwRXG0VbtmyxeqpKkvTll1+KxcGDB5vGuNp+2cbDw+ODDz4wliVJ+uWXXzQazeLFi0XAjBkzrFZi966oRJdfAADsgkQZAAAAAAAAwCVkZmb+/PPPYrGsT0zlj+2XLFliMBjMhj300EO9evUylnNzc8+ePavRaNasWSMCZs2aZXVbkyZNEuXvvvsuLi6uTE21o7p164ryuXPnlIMNBsO0adPUVCvvzPnz50uSpBz/3nvvqanW6f02duxYUd69e7d8zhdX4KCj6SBVdZBUPVqt1tfXVyzWrFlT/q19Twr5qFi5cmVOTo5yvHy2ndatWzdt2rQ8WxdcbRTl5eXt2rVLOebQoUP37983lgMCAgIDA01jXG2/bPb888+L8kcffZSYmHjx4kXjYtOmTU2nnTJl966oXJdfAADKj0QZAAAAAAAAwCXIXwPTrVu3+vXrl2n10NBQ8SvwpKQkhVk/5syZI8pr167NyckRm/bw8OjXr5/Vbfn7+8t/8h4WFiZmjKpgfn5+Xl5exnJSUlJCQoJC8BdffBEVFaWm2scffzwkJMRYvnHjxsaNGxWCd+/ebfWxopHT+61Ro0bTp08Xi88884yzDpxZDjqaDlJVB0nVk5WVlZKSYizrdDp50ozG3idFaGioyESUJEk5meDGjRvz588Xi/L3qZSTC46iqVOnlnqXj1x+fv5LL70kFv/973+bnfrHBffLNvXq1RNvd4uJiRkxYoT4asGCBVanPdI4oCsq1+UXAIDyI1EGAAAAAAAAcD6DwfDJJ5+IxTLNu2Tk6ek5depUsbhhwwZLkf379/fw+L8/DG7dulU+28jkyZNr1KihZnNLly4NCgoylhMTEzt27BgfH291reTk5KVLlyok8ZSVVquVz0AxcuRIMYeUnMFgWL9+/auvvqq+Wnnew6uvvrpjxw6zkb/99pv8GadVTu+3JUuW+Pv7yxuQnJysEH/jxg353DQO5aCj6SBVeJBUCjt37gwPDxfvILFEr9dPnDhRLL7//vumMfY9KcLDw0V506ZNc+fONft+rxs3bnTq1Eks9u3bt2fPngobLStXG0WZmZk9evQwmyuTl5fXt2/f1NRU42JISEhYWJilelxtv2wmz1j9888/RXncuHEqa7BvV1Suyy8AAHZgAAAAAAAAAOBspeb7uHfvng2VyF9Z4eXlVVhYaClyypQpZv9a+Mcff6jf3N27dxs3bixf/R//+MeJEyfu378vSZIxJj8/PyUl5cyZM8uXL2/durUxLDo62myFjzzyiKgqOztbZTPu3bsnfgev0Wj8/f13794tVs/Kyjp27NgTTzxh/LZx48byt0fs3LlToWb57/U1Gs2YMWNiY2OLiooMBkNxcXFcXJzITPLz83vttddUVmv3fiur69ev16pVS96A119/PTo6OicnxxhQUFBw48aNHTt29O3bV6PR+Pr6mq2nrMcrOjpaxL/55ptmYxx0NB3RVKMqOUjkj+oTEhIshTmuV9UQuYDdu3dft27dH3/8kZaWZux5g8FQUlJy9+7diIgIkUmg0WhatGiRn59vtjZ7nRRGpV4v1Llz5+PHjxur0uv1N2/eXLJkiaenpwho3LhxVlaWQoW2XRudO4rkbRb5STqd7ttvv01LSzM24P79+//5z3/8/PxEZPXq1ZOTkyt+v2zr4fKQJCkgIEDz/40ZM6ZMldi3K1zk8gsAQMUgUQYAAAAAAABwPvkDpy5duthWSUlJiZh9SaPR7N2711Lk+fPnNSb8/PzEozWVsrKyevfubVqVMvsmyhgMhgMHDqjZbsOGDW/evPnVV1+JT5STFfR6vTyzwZJatWpdvXp1/fr14pNdu3ZVZL/Z4NatW4GBgSq3W5GJMgbHHE3HpXRUyUFSuRJlVAoICLhz545ChXY5KQT18ygFBQVZzYy0+drpQDHUAAAGvklEQVToxFEkb3NWVtaHH35odbs6nS42NtYp++WUZA7T+drOnTtX1krs2xWucPkFAKBiMPUSAAAAAAAA4GRFRUXr1q0Ti/LpD8rE09NT/qqYZcuWWYoMDQ319fUt9eHs2bO1Wm2ZtqjT6Y4dO7Z79+7mzZuXaUX7GjBgQGRkpOmv8+XGjBlz9erVpk2bqq/Ww8Pj888/37x5c+3atS3FdO/ePTExsWXLlsXFxeJDebqSWU7vtyZNmsTFxX366adWm1rxHHQ0HaQKD5Iqw8vLa/HixVevXm3YsKFCmH1PismTJ8fFxXXr1k0hxsPDY/HixbGxsfJXqtiXi4wirVa7cOHCiIiIUq/tkevbt29iYmJISIiaCl1kv8pp7Nix8sXGjRt36dKlrJXYtysq1+UXAIDyqObsBgAAAAAAAADu7ujRo/In6GFhYTZXNWHChLVr1xrLx48fv3v3rtlnwx4eHrNnz37vvffkH44fP96GLWq12meeeWbIkCGJiYmHDh2KjIw8ffp0cnJyfn5+zZo1fXx8/P39AwICgoOD27ZtGxwcHBQUVK9ePRs2pKxLly7Xr18/ceLE1q1bT506dfnyZQ8Pj4CAgI4dOz799NNDhgyx+ane888/P3r06F27du3bt2///v137tzR6XQhISH9+/d/9tln27VrZ8wuSk5OFqv4+/tbrdbp/VatWrUZM2a8+eabp06d+u23306dOhUZGZmVleXt7a3T6Vq0aNGyZcuuXbs+9thjbdu2teN21XDc0XSQqjpIXNnUqVOHDx8eFxd3+fLlmJiY+Pj4pKSk1NTU3NxcSZIeeuihdu3aderUadCgQY899pjK3Bf7nhStWrU6e/bstWvX9uzZc+rUqRMnTqSmpnp7e7dp06ZPnz59+vTp169fBWSquc4oGjFiRHp6+sGDB3fu3Hny5Mnr1697enp26NBh8ODBo0aNUpki44L7ZTMfH5+BAwfu37/fuDh//vyy5qoa2bcrKt3lFwAA22gNBoOz2wAAAAAAAAAAlVu/fv2OHDliLKelpTVo0MC57YELYpDAfQQFBV29etVYzs7O9vHxcW57XFBxcXGdOnWKioqMi+np6aZvegMAAA7C1EsAAAAAAAAAUC4FBQUiAcLb27t+/frObQ9cEIMEgNyhQ4dElsyIESPIkgEAoCKRKAMAAAAAAAAA5fLjjz+K8qRJkzw8+LsrSmOQAJD78MMPRXnu3LlObAkAAG6IqZcAAAAAAAAAwHYZGRkBAQF5eXnGxXPnznXt2tW5TYKrYZDA3TD1krKoqKhOnToZy4888kh8fLxWq3VukwAAcCskrQMAAAAAAACAGb/88suePXtKSkoUYhITE0NDQ0UCxBNPPEEChFthkAAoK0mSJk+eLBbXrl1LlgwAABWMRBkAAAAAAAAAMOPu3btDhgzx8/NbuHBhZGRkenq6Xq/XaDSSJKWnp58+fXrixIktW7ZMSkoyxnt7e0dERDi1yahoDBIA6kmSlJSUNHr06KioKOMnXbp0GTBggHNbBQCAG2LqJQAAAAAAAAAwIzw8XP6jf2W+vr6///57q1atHNokuBoGCWAWUy/JHT58uH///qafe3l5JSQkPPzwwxXfJAAA3BxvlAEAAAAAAACAcpk5c2ZycjIJEFDAIAEgV7169ZMnT5IlAwCAU/BGGQAAAAAAAAAwQ5Kk5OTk6Ojoc+fOxcTEJCQk3LlzJz09XavV+vn5hYaGduzY8amnnurdu3eNGjWc3Vg4B4MEMIs3ysjJ3yjj4+MTGho6duzYCRMm1KlTx7kNAwDAbZEoAwAAAAAAAAAAAAAAALfA1EsAAAAAAAAAAAAAAABwCyTKAAAAAAAAAAAAAAAAwC2QKAMAAAAAAAAAAAAAAAC3QKIMAAAAAAAAAAAAAAAA3AKJMgAAAAAAAAAAAAAAAHALJMoAAAAAAAAAAAAAAADALZAoAwAAAAAAAAAAAAAAALdAogwAAAAAAAAAAAAAAADcAokyAAAAAAAAAAAAAAAAcAskygAAAAAAAAAAAAAAAMAtkCgDAAAAAAAAAAAAAAAAt0CiDAAAAAAAAAAAAAAAANwCiTIAAAAAAAAAAAAAAABwCyTKAAAAAAAAAAAAAAAAwC2QKAMAAAAAAAAAAAAAAAC3QKIMAAAAAAAAAAAAAAAA3AKJMgAAAAAAAAAAAAAAAHALJMoAAAAAAAAAAAAAAADALZAoAwAAAAAAAAAAAAAAALdAogwAAAAAAAAAAAAAAADcAokyAAAAAAAAAAAAAAAAcAskygAAAAAAAAAAAAAAAMAt/C9kFcM0SjTlUwAAAABJRU5ErkJggg==" width="1500" /></p>
 </div>
 <div id="figure-j.-comparing-trend-and-average-index-scores" class="section level5">
 <h5>Figure J. Comparing trend and average index scores</h5>
@@ -4136,8 +4123,8 @@ <h5>Figure J. Comparing trend and average index scores</h5>
 hovering over the points) showing the relationship between average index
 scores and trend. The horizontal line represents the 0 trend and the
 vertical line is the average of the average index scores.</p>
-<div class="plotly html-widget html-fill-item-overflow-hidden html-fill-item" id="htmlwidget-4b0e440b5759efb0a79f" style="width:576px;height:384px;"></div>
-<script type="application/json" data-for="htmlwidget-4b0e440b5759efb0a79f">{"x":{"data":[{"x":[69.472499999999997,69.104166666666671,70.971666666666664,74.349166666666662,73.527500000000003,69.655833333333334,67.572500000000005,83.453333333333333,73.912499999999994,71.432500000000005,70.489166666666662,77.942499999999995,71.245833333333337,74.463333333333338,72.900833333333338,68.006666666666661,68.754166666666663,84.076666666666668,67.430000000000007,68.37166666666667,69.06583333333333,90.725833333333327,73.453333333333333,71.706666666666663,69.376666666666665,70.650000000000006,68.94583333333334,67.859166666666667,69.944166666666661,77.417500000000004,92.489999999999995,90.273333333333341,71.650833333333338,72.097499999999997,69.328333333333333,68.32416666666667,80.495833333333337,74.111666666666665,69.465833333333336,72.674166666666665,67.859999999999999,76.594999999999999,77.069999999999993,71.771666666666661,71.864999999999995,68.936666666666667,71.615833333333327,73.250833333333333,70.173333333333332],"y":[-0.01,-0.01,-0.02,-0.02,-0.02,-0.040000000000000001,-0.050000000000000003,-0.050000000000000003,-0.059999999999999998,-0.070000000000000007,-0.080000000000000002,-0.089999999999999997,-0.11,-0.12,-0.13,-0.14000000000000001,-0.14000000000000001,-0.14000000000000001,-0.14999999999999999,-0.14999999999999999,-0.14999999999999999,-0.16,-0.17000000000000001,-0.17000000000000001,-0.17999999999999999,-0.17999999999999999,-0.19,-0.20999999999999999,-0.22,-0.23000000000000001,-0.23000000000000001,-0.23000000000000001,-0.23999999999999999,-0.25,-0.27000000000000002,-0.27000000000000002,-0.28999999999999998,-0.28999999999999998,-0.29999999999999999,-0.31,-0.34999999999999998,-0.35999999999999999,-0.42999999999999999,-0.46000000000000002,-0.48999999999999999,-0.57999999999999996,-0.77000000000000002,-1.1499999999999999,-1.27],"text":["color: Above avg score & Decreasing<br />rgn = Taiwan<br />index_avg: 69.47250<br />index_trend: -0.01","color: Above avg score & Decreasing<br />rgn = Finland<br />index_avg: 69.10417<br />index_trend: -0.01","color: Above avg score & Decreasing<br />rgn = Andaman and Nicobar<br />index_avg: 70.97167<br />index_trend: -0.02","color: Above avg score & Decreasing<br />rgn = Oman<br />index_avg: 74.34917<br />index_trend: -0.02","color: Above avg score & Decreasing<br />rgn = Saint Pierre and Miquelon<br />index_avg: 73.52750<br />index_trend: -0.02","color: Above avg score & Decreasing<br />rgn = Sierra Leone<br />index_avg: 69.65583<br />index_trend: -0.04","color: Above avg score & Decreasing<br />rgn = Australia<br />index_avg: 67.57250<br />index_trend: -0.05","color: Above avg score & Decreasing<br />rgn = Sint Maarten<br />index_avg: 83.45333<br />index_trend: -0.05","color: Above avg score & Decreasing<br />rgn = Ile Tromelin<br />index_avg: 73.91250<br />index_trend: -0.06","color: Above avg score & Decreasing<br />rgn = Curacao<br />index_avg: 71.43250<br />index_trend: -0.07","color: Above avg score & Decreasing<br />rgn = Christmas Island<br />index_avg: 70.48917<br />index_trend: -0.08","color: Above avg score & Decreasing<br />rgn = Phoenix Islands (Kiribati)<br />index_avg: 77.94250<br />index_trend: -0.09","color: Above avg score & Decreasing<br />rgn = Panama<br />index_avg: 71.24583<br />index_trend: -0.11","color: Above avg score & Decreasing<br />rgn = Cocos Islands<br />index_avg: 74.46333<br />index_trend: -0.12","color: Above avg score & Decreasing<br />rgn = Canary Islands<br />index_avg: 72.90083<br />index_trend: -0.13","color: Above avg score & Decreasing<br />rgn = Mexico<br />index_avg: 68.00667<br />index_trend: -0.14","color: Above avg score & Decreasing<br />rgn = Guadeloupe and Martinique<br />index_avg: 68.75417<br />index_trend: -0.14","color: Above avg score & Decreasing<br />rgn = Palmyra Atoll<br />index_avg: 84.07667<br />index_trend: -0.14","color: Above avg score & Decreasing<br />rgn = British Virgin Islands<br />index_avg: 67.43000<br />index_trend: -0.15","color: Above avg score & Decreasing<br />rgn = Dominica<br />index_avg: 68.37167<br />index_trend: -0.15","color: Above avg score & Decreasing<br />rgn = United States<br />index_avg: 69.06583<br />index_trend: -0.15","color: Above avg score & Decreasing<br />rgn = Howland Island and Baker Island<br />index_avg: 90.72583<br />index_trend: -0.16","color: Above avg score & Decreasing<br />rgn = New Zealand<br />index_avg: 73.45333<br />index_trend: -0.17","color: Above avg score & Decreasing<br />rgn = Crozet Islands<br />index_avg: 71.70667<br />index_trend: -0.17","color: Above avg score & Decreasing<br />rgn = Tuvalu<br />index_avg: 69.37667<br />index_trend: -0.18","color: Above avg score & Decreasing<br />rgn = Sweden<br />index_avg: 70.65000<br />index_trend: -0.18","color: Above avg score & Decreasing<br />rgn = Comoro Islands<br />index_avg: 68.94583<br />index_trend: -0.19","color: Above avg score & Decreasing<br />rgn = Tanzania<br />index_avg: 67.85917<br />index_trend: -0.21","color: Above avg score & Decreasing<br />rgn = Sao Tome and Principe<br />index_avg: 69.94417<br />index_trend: -0.22","color: Above avg score & Decreasing<br />rgn = Azores<br />index_avg: 77.41750<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = Macquarie Island<br />index_avg: 92.49000<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = Jarvis Island<br />index_avg: 90.27333<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = Estonia<br />index_avg: 71.65083<br />index_trend: -0.24","color: Above avg score & Decreasing<br />rgn = Western Sahara<br />index_avg: 72.09750<br />index_trend: -0.25","color: Above avg score & Decreasing<br />rgn = Bermuda<br />index_avg: 69.32833<br />index_trend: -0.27","color: Above avg score & Decreasing<br />rgn = Lithuania<br />index_avg: 68.32417<br />index_trend: -0.27","color: Above avg score & Decreasing<br />rgn = Madeira<br />index_avg: 80.49583<br />index_trend: -0.29","color: Above avg score & Decreasing<br />rgn = Liberia<br />index_avg: 74.11167<br />index_trend: -0.29","color: Above avg score & Decreasing<br />rgn = Latvia<br />index_avg: 69.46583<br />index_trend: -0.30","color: Above avg score & Decreasing<br />rgn = Jordan<br />index_avg: 72.67417<br />index_trend: -0.31","color: Above avg score & Decreasing<br />rgn = Honduras<br />index_avg: 67.86000<br />index_trend: -0.35","color: Above avg score & Decreasing<br />rgn = Turks and Caicos Islands<br />index_avg: 76.59500<br />index_trend: -0.36","color: Above avg score & Decreasing<br />rgn = Antigua and Barbuda<br />index_avg: 77.07000<br />index_trend: -0.43","color: Above avg score & Decreasing<br />rgn = Anguilla<br />index_avg: 71.77167<br />index_trend: -0.46","color: Above avg score & Decreasing<br />rgn = Bahrain<br />index_avg: 71.86500<br />index_trend: -0.49","color: Above avg score & Decreasing<br />rgn = Belgium<br />index_avg: 68.93667<br />index_trend: -0.58","color: Above avg score & Decreasing<br />rgn = Montserrat<br />index_avg: 71.61583<br />index_trend: -0.77","color: Above avg score & Decreasing<br />rgn = Palau<br />index_avg: 73.25083<br />index_trend: -1.15","color: Above avg score & Decreasing<br />rgn = Cayman Islands<br />index_avg: 70.17333<br />index_trend: -1.27"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(253,174,97,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(253,174,97,1)"}},"hoveron":"points","name":"Above avg score & Decreasing","legendgroup":"Above avg score & Decreasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[68.316666666666663,71.650833333333338,79.80416666666666,70.24666666666667,69.004166666666663,69.158333333333331,77.932500000000005,83.314166666666665,67.941666666666663,71.75,76.183333333333337,69.638333333333335,73.802499999999995,71.898333333333341,78.868333333333339,74.509166666666673,68.381666666666661,74.826666666666668,70.409999999999997,70.655833333333334,79.980833333333337,79.980833333333337,75.605833333333337,70.722499999999997,80.661666666666662,67.786666666666662,76.685000000000002,79.226666666666659,71.706666666666663,68.394166666666663,76.010000000000005,76.526666666666671,70.551666666666662,74.445000000000007,67.642499999999998,69.759999999999991,73.063333333333333,68.935833333333335,71.75333333333333,74.537499999999994,69.624166666666667,67.377499999999998,82.813333333333333,88.281666666666666,71.504999999999995,78.201666666666668,69.637500000000003,75.495000000000005,81.607500000000002,69.902500000000003,75.898333333333341],"y":[1.1499999999999999,0.84999999999999998,0.68000000000000005,0.66000000000000003,0.66000000000000003,0.65000000000000002,0.59999999999999998,0.5,0.48999999999999999,0.44,0.40000000000000002,0.34000000000000002,0.34000000000000002,0.33000000000000002,0.33000000000000002,0.32000000000000001,0.29999999999999999,0.28999999999999998,0.28999999999999998,0.28000000000000003,0.28000000000000003,0.28000000000000003,0.28000000000000003,0.23999999999999999,0.23999999999999999,0.23000000000000001,0.23000000000000001,0.23000000000000001,0.22,0.22,0.20999999999999999,0.20999999999999999,0.20000000000000001,0.20000000000000001,0.19,0.19,0.17999999999999999,0.16,0.14000000000000001,0.12,0.11,0.11,0.11,0.11,0.10000000000000001,0.10000000000000001,0.089999999999999997,0.080000000000000002,0.050000000000000003,0.050000000000000003,0.029999999999999999],"text":["color: Above avg score & Increasing<br />rgn = Pitcairn<br />index_avg: 68.31667<br />index_trend:  1.15","color: Above avg score & Increasing<br />rgn = South Georgia and the South Sandwich Islands<br />index_avg: 71.65083<br />index_trend:  0.85","color: Above avg score & Increasing<br />rgn = Clipperton Island<br />index_avg: 79.80417<br />index_trend:  0.68","color: Above avg score & Increasing<br />rgn = Portugal<br />index_avg: 70.24667<br />index_trend:  0.66","color: Above avg score & Increasing<br />rgn = Japan<br />index_avg: 69.00417<br />index_trend:  0.66","color: Above avg score & Increasing<br />rgn = Norfolk Island<br />index_avg: 69.15833<br />index_trend:  0.65","color: Above avg score & Increasing<br />rgn = Iraq<br />index_avg: 77.93250<br />index_trend:  0.60","color: Above avg score & Increasing<br />rgn = Mayotte<br />index_avg: 83.31417<br />index_trend:  0.50","color: Above avg score & Increasing<br />rgn = Spain<br />index_avg: 67.94167<br />index_trend:  0.49","color: Above avg score & Increasing<br />rgn = Tokelau<br />index_avg: 71.75000<br />index_trend:  0.44","color: Above avg score & Increasing<br />rgn = Slovenia<br />index_avg: 76.18333<br />index_trend:  0.40","color: Above avg score & Increasing<br />rgn = Russia<br />index_avg: 69.63833<br />index_trend:  0.34","color: Above avg score & Increasing<br />rgn = Ascension<br />index_avg: 73.80250<br />index_trend:  0.34","color: Above avg score & Increasing<br />rgn = Venezuela<br />index_avg: 71.89833<br />index_trend:  0.33","color: Above avg score & Increasing<br />rgn = Sint Eustatius<br />index_avg: 78.86833<br />index_trend:  0.33","color: Above avg score & Increasing<br />rgn = Wallis and Futuna<br />index_avg: 74.50917<br />index_trend:  0.32","color: Above avg score & Increasing<br />rgn = Belize<br />index_avg: 68.38167<br />index_trend:  0.30","color: Above avg score & Increasing<br />rgn = Saint Kitts and Nevis<br />index_avg: 74.82667<br />index_trend:  0.29","color: Above avg score & Increasing<br />rgn = Bouvet Island<br />index_avg: 70.41000<br />index_trend:  0.29","color: Above avg score & Increasing<br />rgn = Malta<br />index_avg: 70.65583<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Saba<br />index_avg: 79.98083<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Prince Edward Islands<br />index_avg: 79.98083<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Kerguelen Islands<br />index_avg: 75.60583<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Bahamas<br />index_avg: 70.72250<br />index_trend:  0.24","color: Above avg score & Increasing<br />rgn = Heard and McDonald Islands<br />index_avg: 80.66167<br />index_trend:  0.24","color: Above avg score & Increasing<br />rgn = Nauru<br />index_avg: 67.78667<br />index_trend:  0.23","color: Above avg score & Increasing<br />rgn = Ecuador<br />index_avg: 76.68500<br />index_trend:  0.23","color: Above avg score & Increasing<br />rgn = Aruba<br />index_avg: 79.22667<br />index_trend:  0.23","color: Above avg score & Increasing<br />rgn = Kuwait<br />index_avg: 71.70667<br />index_trend:  0.22","color: Above avg score & Increasing<br />rgn = Chile<br />index_avg: 68.39417<br />index_trend:  0.22","color: Above avg score & Increasing<br />rgn = Seychelles<br />index_avg: 76.01000<br />index_trend:  0.21","color: Above avg score & Increasing<br />rgn = Bonaire<br />index_avg: 76.52667<br />index_trend:  0.21","color: Above avg score & Increasing<br />rgn = Bosnia and Herzegovina<br />index_avg: 70.55167<br />index_trend:  0.20","color: Above avg score & Increasing<br />rgn = Oecussi Ambeno<br />index_avg: 74.44500<br />index_trend:  0.20","color: Above avg score & Increasing<br />rgn = Monaco<br />index_avg: 67.64250<br />index_trend:  0.19","color: Above avg score & Increasing<br />rgn = Jan Mayen<br />index_avg: 69.76000<br />index_trend:  0.19","color: Above avg score & Increasing<br />rgn = Qatar<br />index_avg: 73.06333<br />index_trend:  0.18","color: Above avg score & Increasing<br />rgn = Uruguay<br />index_avg: 68.93583<br />index_trend:  0.16","color: Above avg score & Increasing<br />rgn = Jersey<br />index_avg: 71.75333<br />index_trend:  0.14","color: Above avg score & Increasing<br />rgn = Bassas da India<br />index_avg: 74.53750<br />index_trend:  0.12","color: Above avg score & Increasing<br />rgn = Somalia<br />index_avg: 69.62417<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = Djibouti<br />index_avg: 67.37750<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = Northern Saint-Martin<br />index_avg: 82.81333<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = Ile Europa<br />index_avg: 88.28167<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = Iran<br />index_avg: 71.50500<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = Juan de Nova Island<br />index_avg: 78.20167<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = France<br />index_avg: 69.63750<br />index_trend:  0.09","color: Above avg score & Increasing<br />rgn = United Arab Emirates<br />index_avg: 75.49500<br />index_trend:  0.08","color: Above avg score & Increasing<br />rgn = Greenland<br />index_avg: 81.60750<br />index_trend:  0.05","color: Above avg score & Increasing<br />rgn = Brazil<br />index_avg: 69.90250<br />index_trend:  0.05","color: Above avg score & Increasing<br />rgn = British Indian Ocean Territory<br />index_avg: 75.89833<br />index_trend:  0.03"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(49,54,149,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(49,54,149,1)"}},"hoveron":"points","name":"Above avg score & Increasing","legendgroup":"Above avg score & Increasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[61.254999999999995,59.722499999999997,64.821666666666673,61.55916666666667,66.474999999999994,66.962500000000006,62.922499999999999,65.854166666666671,65.334166666666661,67.233333333333334,60.945833333333333,65.909166666666664,65.726666666666659,64.80916666666667,60.495000000000005,66.237499999999997,61.519166666666663,63.150833333333331,53.404166666666669,48.712499999999999,59.958333333333336,58.294166666666669,65.777500000000003,65.662499999999994,61.494166666666665,64.139166666666668,57.5075,66.168333333333337,63.646666666666668,63.30833333333333,65.163333333333341,57.616666666666667,52.706666666666663,55.683333333333337,61.426666666666669,57.44166666666667,58.975000000000001,63.032499999999999,60.610833333333332,66.301666666666662,62.971666666666664,59.103333333333332,66.156666666666666,63.862499999999997,66.590833333333336,53.524999999999999,61.596666666666664,55.700000000000003,64.252499999999998,63.008333333333333,63.634166666666665,61.859166666666667,65.05416666666666,64.765000000000001,58.875833333333333,58.460833333333333,61.552500000000002,61.178333333333335,58.851666666666667,66.209166666666661,62.390000000000001,58.709166666666668,66.166666666666671,56.475833333333334,56.696666666666665,66.80083333333333,63.332500000000003,64.120833333333337,63.948333333333338,61.393333333333331,61.615000000000002,50.134999999999998,59.998333333333335,60.875],"y":[-0.01,-0.01,-0.02,-0.029999999999999999,-0.029999999999999999,-0.029999999999999999,-0.029999999999999999,-0.050000000000000003,-0.059999999999999998,-0.059999999999999998,-0.059999999999999998,-0.059999999999999998,-0.059999999999999998,-0.070000000000000007,-0.070000000000000007,-0.070000000000000007,-0.070000000000000007,-0.070000000000000007,-0.070000000000000007,-0.080000000000000002,-0.080000000000000002,-0.080000000000000002,-0.089999999999999997,-0.10000000000000001,-0.11,-0.11,-0.13,-0.13,-0.14000000000000001,-0.14999999999999999,-0.14999999999999999,-0.14999999999999999,-0.16,-0.17000000000000001,-0.17000000000000001,-0.19,-0.19,-0.20000000000000001,-0.20999999999999999,-0.23999999999999999,-0.25,-0.26000000000000001,-0.26000000000000001,-0.26000000000000001,-0.27000000000000002,-0.28000000000000003,-0.28000000000000003,-0.28999999999999998,-0.29999999999999999,-0.29999999999999999,-0.31,-0.34000000000000002,-0.35999999999999999,-0.35999999999999999,-0.38,-0.45000000000000001,-0.45000000000000001,-0.45000000000000001,-0.46000000000000002,-0.48999999999999999,-0.51000000000000001,-0.51000000000000001,-0.52000000000000002,-0.53000000000000003,-0.54000000000000004,-0.56000000000000005,-0.56999999999999995,-0.58999999999999997,-0.66000000000000003,-0.69999999999999996,-0.75,-0.77000000000000002,-0.92000000000000004,-1.0700000000000001],"text":["color: Below avg score & Decreasing<br />rgn = Morocco<br />index_avg: 61.25500<br />index_trend: -0.01","color: Below avg score & Decreasing<br />rgn = El Salvador<br />index_avg: 59.72250<br />index_trend: -0.01","color: Below avg score & Decreasing<br />rgn = Samoa<br />index_avg: 64.82167<br />index_trend: -0.02","color: Below avg score & Decreasing<br />rgn = Mauritius<br />index_avg: 61.55917<br />index_trend: -0.03","color: Below avg score & Decreasing<br />rgn = Grenada<br />index_avg: 66.47500<br />index_trend: -0.03","color: Below avg score & Decreasing<br />rgn = French Polynesia<br />index_avg: 66.96250<br />index_trend: -0.03","color: Below avg score & Decreasing<br />rgn = Denmark<br />index_avg: 62.92250<br />index_trend: -0.03","color: Below avg score & Decreasing<br />rgn = Puerto Rico and Virgin Islands of the United States<br />index_avg: 65.85417<br />index_trend: -0.05","color: Below avg score & Decreasing<br />rgn = Solomon Islands<br />index_avg: 65.33417<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = R_union<br />index_avg: 67.23333<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = Greece<br />index_avg: 60.94583<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = Wake Island<br />index_avg: 65.90917<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = Johnston Atoll<br />index_avg: 65.72667<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = Yemen<br />index_avg: 64.80917<br />index_trend: -0.07","color: Below avg score & Decreasing<br />rgn = Benin<br />index_avg: 60.49500<br />index_trend: -0.07","color: Below avg score & Decreasing<br />rgn = Trinidad and Tobago<br />index_avg: 66.23750<br />index_trend: -0.07","color: Below avg score & Decreasing<br />rgn = Colombia<br />index_avg: 61.51917<br />index_trend: -0.07","color: Below avg score & Decreasing<br />rgn = Peru<br />index_avg: 63.15083<br />index_trend: -0.07","color: Below avg score & Decreasing<br />rgn = Guyana<br />index_avg: 53.40417<br />index_trend: -0.07","color: Below avg score & Decreasing<br />rgn = Syria<br />index_avg: 48.71250<br />index_trend: -0.08","color: Below avg score & Decreasing<br />rgn = Namibia<br />index_avg: 59.95833<br />index_trend: -0.08","color: Below avg score & Decreasing<br />rgn = Brunei<br />index_avg: 58.29417<br />index_trend: -0.08","color: Below avg score & Decreasing<br />rgn = Guinea Bissau<br />index_avg: 65.77750<br />index_trend: -0.09","color: Below avg score & Decreasing<br />rgn = Algeria<br />index_avg: 65.66250<br />index_trend: -0.10","color: Below avg score & Decreasing<br />rgn = Georgia<br />index_avg: 61.49417<br />index_trend: -0.11","color: Below avg score & Decreasing<br />rgn = Gabon<br />index_avg: 64.13917<br />index_trend: -0.11","color: Below avg score & Decreasing<br />rgn = Philippines<br />index_avg: 57.50750<br />index_trend: -0.13","color: Below avg score & Decreasing<br />rgn = Line Islands (Kiribati)<br />index_avg: 66.16833<br />index_trend: -0.13","color: Below avg score & Decreasing<br />rgn = Iceland<br />index_avg: 63.64667<br />index_trend: -0.14","color: Below avg score & Decreasing<br />rgn = Equatorial Guinea<br />index_avg: 63.30833<br />index_trend: -0.15","color: Below avg score & Decreasing<br />rgn = Guinea<br />index_avg: 65.16333<br />index_trend: -0.15","color: Below avg score & Decreasing<br />rgn = Gilbert Islands (Kiribati)<br />index_avg: 57.61667<br />index_trend: -0.15","color: Below avg score & Decreasing<br />rgn = Sudan<br />index_avg: 52.70667<br />index_trend: -0.16","color: Below avg score & Decreasing<br />rgn = Tunisia<br />index_avg: 55.68333<br />index_trend: -0.17","color: Below avg score & Decreasing<br />rgn = Malaysia<br />index_avg: 61.42667<br />index_trend: -0.17","color: Below avg score & Decreasing<br />rgn = East Timor<br />index_avg: 57.44167<br />index_trend: -0.19","color: Below avg score & Decreasing<br />rgn = Amsterdam Island and Saint Paul Island<br />index_avg: 58.97500<br />index_trend: -0.19","color: Below avg score & Decreasing<br />rgn = Montenegro<br />index_avg: 63.03250<br />index_trend: -0.20","color: Below avg score & Decreasing<br />rgn = Vietnam<br />index_avg: 60.61083<br />index_trend: -0.21","color: Below avg score & Decreasing<br />rgn = United Kingdom<br />index_avg: 66.30167<br />index_trend: -0.24","color: Below avg score & Decreasing<br />rgn = Saint Lucia<br />index_avg: 62.97167<br />index_trend: -0.25","color: Below avg score & Decreasing<br />rgn = Ukraine<br />index_avg: 59.10333<br />index_trend: -0.26","color: Below avg score & Decreasing<br />rgn = Saint Helena<br />index_avg: 66.15667<br />index_trend: -0.26","color: Below avg score & Decreasing<br />rgn = Nigeria<br />index_avg: 63.86250<br />index_trend: -0.26","color: Below avg score & Decreasing<br />rgn = New Caledonia<br />index_avg: 66.59083<br />index_trend: -0.27","color: Below avg score & Decreasing<br />rgn = Democratic Republic of the Congo<br />index_avg: 53.52500<br />index_trend: -0.28","color: Below avg score & Decreasing<br />rgn = Egypt<br />index_avg: 61.59667<br />index_trend: -0.28","color: Below avg score & Decreasing<br />rgn = India<br />index_avg: 55.70000<br />index_trend: -0.29","color: Below avg score & Decreasing<br />rgn = Mauritania<br />index_avg: 64.25250<br />index_trend: -0.30","color: Below avg score & Decreasing<br />rgn = Niue<br />index_avg: 63.00833<br />index_trend: -0.30","color: Below avg score & Decreasing<br />rgn = Cameroon<br />index_avg: 63.63417<br />index_trend: -0.31","color: Below avg score & Decreasing<br />rgn = Saint Vincent and the Grenadines<br />index_avg: 61.85917<br />index_trend: -0.34","color: Below avg score & Decreasing<br />rgn = Saudi Arabia<br />index_avg: 65.05417<br />index_trend: -0.36","color: Below avg score & Decreasing<br />rgn = American Samoa<br />index_avg: 64.76500<br />index_trend: -0.36","color: Below avg score & Decreasing<br />rgn = Vanuatu<br />index_avg: 58.87583<br />index_trend: -0.38","color: Below avg score & Decreasing<br />rgn = Sri Lanka<br />index_avg: 58.46083<br />index_trend: -0.45","color: Below avg score & Decreasing<br />rgn = Tristan da Cunha<br />index_avg: 61.55250<br />index_trend: -0.45","color: Below avg score & Decreasing<br />rgn = South Africa<br />index_avg: 61.17833<br />index_trend: -0.45","color: Below avg score & Decreasing<br />rgn = Angola<br />index_avg: 58.85167<br />index_trend: -0.46","color: Below avg score & Decreasing<br />rgn = Senegal<br />index_avg: 66.20917<br />index_trend: -0.49","color: Below avg score & Decreasing<br />rgn = Fiji<br />index_avg: 62.39000<br />index_trend: -0.51","color: Below avg score & Decreasing<br />rgn = Togo<br />index_avg: 58.70917<br />index_trend: -0.51","color: Below avg score & Decreasing<br />rgn = Canada<br />index_avg: 66.16667<br />index_trend: -0.52","color: Below avg score & Decreasing<br />rgn = Eritrea<br />index_avg: 56.47583<br />index_trend: -0.53","color: Below avg score & Decreasing<br />rgn = Ivory Coast<br />index_avg: 56.69667<br />index_trend: -0.54","color: Below avg score & Decreasing<br />rgn = Gambia<br />index_avg: 66.80083<br />index_trend: -0.56","color: Below avg score & Decreasing<br />rgn = Ghana<br />index_avg: 63.33250<br />index_trend: -0.57","color: Below avg score & Decreasing<br />rgn = Marshall Islands<br />index_avg: 64.12083<br />index_trend: -0.59","color: Below avg score & Decreasing<br />rgn = Cook Islands<br />index_avg: 63.94833<br />index_trend: -0.66","color: Below avg score & Decreasing<br />rgn = Poland<br />index_avg: 61.39333<br />index_trend: -0.70","color: Below avg score & Decreasing<br />rgn = Cape Verde<br />index_avg: 61.61500<br />index_trend: -0.75","color: Below avg score & Decreasing<br />rgn = Republique du Congo<br />index_avg: 50.13500<br />index_trend: -0.77","color: Below avg score & Decreasing<br />rgn = Falkland Islands<br />index_avg: 59.99833<br />index_trend: -0.92","color: Below avg score & Decreasing<br />rgn = Northern Mariana Islands and Guam<br />index_avg: 60.87500<br />index_trend: -1.07"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(165,0,38,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(165,0,38,1)"}},"hoveron":"points","name":"Below avg score & Decreasing","legendgroup":"Below avg score & Decreasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[67.116666666666674,65.650833333333338,61.747500000000002,60.951666666666668,62.157499999999999,61.31583333333333,48.976666666666667,56.844999999999999,66.915833333333339,58.767499999999998,60.703333333333333,64.734166666666667,60.6875,56.342500000000001,54.751666666666665,66.051666666666662,60.251666666666665,61.467500000000001,60.247500000000002,62.676666666666669,62.258333333333333,60.325000000000003,64.915833333333339,60.895000000000003,66.355833333333337,64.765000000000001,63.865833333333335,65.114999999999995,64.331666666666663,62.824166666666663,67.125833333333333,61.079999999999998,66.146666666666661,62.443333333333335,65.290833333333339,66.649166666666673,58.330833333333331,66.973333333333329,65.027500000000003,65.604166666666671,59.637500000000003,63.968333333333334,64.713333333333338,65.896666666666661,63.119166666666665,66.915833333333325,60.078333333333333],"y":[0,0.75,0.67000000000000004,0.59999999999999998,0.58999999999999997,0.57999999999999996,0.56999999999999995,0.56000000000000005,0.56000000000000005,0.52000000000000002,0.5,0.46999999999999997,0.42999999999999999,0.39000000000000001,0.38,0.38,0.37,0.34000000000000002,0.31,0.28999999999999998,0.28999999999999998,0.28000000000000003,0.26000000000000001,0.23999999999999999,0.22,0.17999999999999999,0.17999999999999999,0.17000000000000001,0.16,0.16,0.16,0.14000000000000001,0.12,0.11,0.11,0.10000000000000001,0.080000000000000002,0.080000000000000002,0.059999999999999998,0.059999999999999998,0.050000000000000003,0.040000000000000001,0.02,0.02,0.01,0.01,-0],"text":["color: Below avg score & Increasing<br />rgn = Global average<br />index_avg: 67.11667<br />index_trend:  0.00","color: Below avg score & Increasing<br />rgn = Papua New Guinea<br />index_avg: 65.65083<br />index_trend:  0.75","color: Below avg score & Increasing<br />rgn = South Korea<br />index_avg: 61.74750<br />index_trend:  0.67","color: Below avg score & Increasing<br />rgn = Argentina<br />index_avg: 60.95167<br />index_trend:  0.60","color: Below avg score & Increasing<br />rgn = North Korea<br />index_avg: 62.15750<br />index_trend:  0.59","color: Below avg score & Increasing<br />rgn = Jamaica<br />index_avg: 61.31583<br />index_trend:  0.58","color: Below avg score & Increasing<br />rgn = Lebanon<br />index_avg: 48.97667<br />index_trend:  0.57","color: Below avg score & Increasing<br />rgn = Croatia<br />index_avg: 56.84500<br />index_trend:  0.56","color: Below avg score & Increasing<br />rgn = Glorioso Islands<br />index_avg: 66.91583<br />index_trend:  0.56","color: Below avg score & Increasing<br />rgn = China<br />index_avg: 58.76750<br />index_trend:  0.52","color: Below avg score & Increasing<br />rgn = Albania<br />index_avg: 60.70333<br />index_trend:  0.50","color: Below avg score & Increasing<br />rgn = Nicaragua<br />index_avg: 64.73417<br />index_trend:  0.47","color: Below avg score & Increasing<br />rgn = Cyprus<br />index_avg: 60.68750<br />index_trend:  0.43","color: Below avg score & Increasing<br />rgn = Pakistan<br />index_avg: 56.34250<br />index_trend:  0.39","color: Below avg score & Increasing<br />rgn = Libya<br />index_avg: 54.75167<br />index_trend:  0.38","color: Below avg score & Increasing<br />rgn = Barbados<br />index_avg: 66.05167<br />index_trend:  0.38","color: Below avg score & Increasing<br />rgn = Maldives<br />index_avg: 60.25167<br />index_trend:  0.37","color: Below avg score & Increasing<br />rgn = Gibraltar<br />index_avg: 61.46750<br />index_trend:  0.34","color: Below avg score & Increasing<br />rgn = Indonesia<br />index_avg: 60.24750<br />index_trend:  0.31","color: Below avg score & Increasing<br />rgn = Haiti<br />index_avg: 62.67667<br />index_trend:  0.29","color: Below avg score & Increasing<br />rgn = Netherlands<br />index_avg: 62.25833<br />index_trend:  0.29","color: Below avg score & Increasing<br />rgn = Costa Rica<br />index_avg: 60.32500<br />index_trend:  0.28","color: Below avg score & Increasing<br />rgn = Tonga<br />index_avg: 64.91583<br />index_trend:  0.26","color: Below avg score & Increasing<br />rgn = Madagascar<br />index_avg: 60.89500<br />index_trend:  0.24","color: Below avg score & Increasing<br />rgn = Kenya<br />index_avg: 66.35583<br />index_trend:  0.22","color: Below avg score & Increasing<br />rgn = Thailand<br />index_avg: 64.76500<br />index_trend:  0.18","color: Below avg score & Increasing<br />rgn = Myanmar<br />index_avg: 63.86583<br />index_trend:  0.18","color: Below avg score & Increasing<br />rgn = Romania<br />index_avg: 65.11500<br />index_trend:  0.17","color: Below avg score & Increasing<br />rgn = Guatemala<br />index_avg: 64.33167<br />index_trend:  0.16","color: Below avg score & Increasing<br />rgn = Italy<br />index_avg: 62.82417<br />index_trend:  0.16","color: Below avg score & Increasing<br />rgn = Bangladesh<br />index_avg: 67.12583<br />index_trend:  0.16","color: Below avg score & Increasing<br />rgn = Dominican Republic<br />index_avg: 61.08000<br />index_trend:  0.14","color: Below avg score & Increasing<br />rgn = Germany<br />index_avg: 66.14667<br />index_trend:  0.12","color: Below avg score & Increasing<br />rgn = Cuba<br />index_avg: 62.44333<br />index_trend:  0.11","color: Below avg score & Increasing<br />rgn = Ireland<br />index_avg: 65.29083<br />index_trend:  0.11","color: Below avg score & Increasing<br />rgn = Norway<br />index_avg: 66.64917<br />index_trend:  0.10","color: Below avg score & Increasing<br />rgn = Israel<br />index_avg: 58.33083<br />index_trend:  0.08","color: Below avg score & Increasing<br />rgn = Singapore<br />index_avg: 66.97333<br />index_trend:  0.08","color: Below avg score & Increasing<br />rgn = Suriname<br />index_avg: 65.02750<br />index_trend:  0.06","color: Below avg score & Increasing<br />rgn = Guernsey<br />index_avg: 65.60417<br />index_trend:  0.06","color: Below avg score & Increasing<br />rgn = Micronesia<br />index_avg: 59.63750<br />index_trend:  0.05","color: Below avg score & Increasing<br />rgn = Turkey<br />index_avg: 63.96833<br />index_trend:  0.04","color: Below avg score & Increasing<br />rgn = Mozambique<br />index_avg: 64.71333<br />index_trend:  0.02","color: Below avg score & Increasing<br />rgn = Faeroe Islands<br />index_avg: 65.89667<br />index_trend:  0.02","color: Below avg score & Increasing<br />rgn = Bulgaria<br />index_avg: 63.11917<br />index_trend:  0.01","color: Below avg score & Increasing<br />rgn = French Guiana<br />index_avg: 66.91583<br />index_trend:  0.01","color: Below avg score & Increasing<br />rgn = Cambodia<br />index_avg: 60.07833<br />index_trend:  0.00"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(116,173,209,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(116,173,209,1)"}},"hoveron":"points","name":"Below avg score & Increasing","legendgroup":"Below avg score & Increasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"colour":{},"text":["Average OHI index score","Average OHI index score"],"x":[67.239397727272731,67.239397727272731],"y":[-1.3700000000000001,1.25],"type":"scatter","mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":["text","text"],"showlegend":false,"marker":{"color":"rgba(31,119,180,1)","line":{"color":"rgba(31,119,180,1)"}},"error_y":{"color":"rgba(31,119,180,1)"},"error_x":{"color":"rgba(31,119,180,1)"},"xaxis":"x","yaxis":"y","frame":null},{"colour":{},"text":["No change on average","No change on average"],"x":[46.712499999999999,94.489999999999995],"y":[0,0],"type":"scatter","mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":["text","text"],"showlegend":false,"marker":{"color":"rgba(255,127,14,1)","line":{"color":"rgba(255,127,14,1)"}},"error_y":{"color":"rgba(255,127,14,1)"},"error_x":{"color":"rgba(255,127,14,1)"},"xaxis":"x","yaxis":"y","frame":null}],"layout":{"margin":{"t":44.493150684931507,"r":7.3059360730593621,"b":40.913242009132432,"l":48.949771689497723},"plot_bgcolor":"rgba(255,255,255,1)","paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724},"title":{"text":"Index scores","font":{"color":"rgba(0,0,0,1)","family":"","size":17.534246575342465},"x":0,"xref":"paper"},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[46.523624999999996,94.678874999999991],"tickmode":"array","ticktext":["50","60","70","80","90"],"tickvals":[50,60,70,80,90],"categoryorder":"array","categoryarray":["50","60","70","80","90"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.689497716894984},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(235,235,235,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"y","title":{"text":"Average (2012 to 2023 scores)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-1.391,1.2709999999999999],"tickmode":"array","ticktext":["-1.0","-0.5","0.0","0.5","1.0"],"tickvals":[-1,-0.5,0,0.5,1],"categoryorder":"array","categoryarray":["-1.0","-0.5","0.0","0.5","1.0"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(235,235,235,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"x","title":{"text":"Trend (change in score per year)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[{"type":"rect","fillcolor":"transparent","line":{"color":"rgba(51,51,51,1)","width":0.66417600664176002,"linetype":"solid"},"yref":"paper","xref":"paper","x0":0,"x1":1,"y0":0,"y1":1}],"showlegend":false,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.689497716894984}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"source":"A","attrs":{"291bb3427eafb5":{"colour":{},"text":{},"x":{},"y":{},"type":"scatter"},"291bb3427eafb5.1":{"colour":{},"text":"Average OHI index score","x":67.239397727272731,"y":-1.3700000000000001,"type":"scatter","xend":67.239397727272731,"yend":1.25,"mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":"text","showlegend":false,"inherit":true},"291bb3427eafb5.2":{"colour":{},"text":"No change on average","x":46.712499999999999,"y":0,"type":"scatter","xend":94.489999999999995,"yend":0,"mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":"text","showlegend":false,"inherit":true}},"cur_data":"291bb3427eafb5","visdat":{"291bb3427eafb5":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script>
+<div id="htmlwidget-dca4f196af6f6339b4df" style="width:576px;height:384px;" class="plotly html-widget"></div>
+<script type="application/json" data-for="htmlwidget-dca4f196af6f6339b4df">{"x":{"data":[{"x":[77.510000000000005,73.527500000000003,73.233333333333334,77.451666666666668,78.099166666666662,77.569999999999993,75.441666666666663,74.204166666666666,73.912499999999994,73.967500000000001,74.149166666666673,72.833333333333329,74.463333333333338,73.654166666666669,73.737499999999997,84.076666666666668,79.096666666666664,71.292500000000004,71.954999999999998,90.725833333333327,83.418333333333337,77.364999999999995,71.706666666666663,73.716666666666669,78.629166666666663,78.075833333333335,71.239999999999995,71.269999999999996,92.489999999999995,90.273333333333341,76.264166666666668,72.096666666666664,73.505833333333328,72.787500000000009,74.108333333333334,72.415833333333339,71.217500000000001,74.400000000000006,76.203333333333333,73.717500000000001,75.974999999999994,72.01166666666667,72.412499999999994,71.821666666666673,75.676666666666662,71.349166666666662,71.825833333333335],"y":[-0.02,-0.02,-0.029999999999999999,-0.040000000000000001,-0.040000000000000001,-0.050000000000000003,-0.050000000000000003,-0.050000000000000003,-0.059999999999999998,-0.070000000000000007,-0.080000000000000002,-0.089999999999999997,-0.12,-0.13,-0.14000000000000001,-0.14000000000000001,-0.14999999999999999,-0.14999999999999999,-0.16,-0.16,-0.17000000000000001,-0.17000000000000001,-0.17000000000000001,-0.17999999999999999,-0.19,-0.20999999999999999,-0.23000000000000001,-0.23000000000000001,-0.23000000000000001,-0.23000000000000001,-0.23999999999999999,-0.25,-0.28000000000000003,-0.28999999999999998,-0.28999999999999998,-0.28999999999999998,-0.33000000000000002,-0.45000000000000001,-0.45000000000000001,-0.46000000000000002,-0.5,-0.53000000000000003,-0.60999999999999999,-0.63,-0.68000000000000005,-0.68000000000000005,-0.69999999999999996],"text":["color: Above avg score & Decreasing<br />rgn = Sierra Leone<br />index_avg: 77.51000<br />index_trend: -0.02","color: Above avg score & Decreasing<br />rgn = Saint Pierre and Miquelon<br />index_avg: 73.52750<br />index_trend: -0.02","color: Above avg score & Decreasing<br />rgn = Andaman and Nicobar<br />index_avg: 73.23333<br />index_trend: -0.03","color: Above avg score & Decreasing<br />rgn = Estonia<br />index_avg: 77.45167<br />index_trend: -0.04","color: Above avg score & Decreasing<br />rgn = Panama<br />index_avg: 78.09917<br />index_trend: -0.04","color: Above avg score & Decreasing<br />rgn = Australia<br />index_avg: 77.57000<br />index_trend: -0.05","color: Above avg score & Decreasing<br />rgn = Guadeloupe and Martinique<br />index_avg: 75.44167<br />index_trend: -0.05","color: Above avg score & Decreasing<br />rgn = Finland<br />index_avg: 74.20417<br />index_trend: -0.05","color: Above avg score & Decreasing<br />rgn = Ile Tromelin<br />index_avg: 73.91250<br />index_trend: -0.06","color: Above avg score & Decreasing<br />rgn = Mozambique<br />index_avg: 73.96750<br />index_trend: -0.07","color: Above avg score & Decreasing<br />rgn = Guinea Bissau<br />index_avg: 74.14917<br />index_trend: -0.08","color: Above avg score & Decreasing<br />rgn = Iceland<br />index_avg: 72.83333<br />index_trend: -0.09","color: Above avg score & Decreasing<br />rgn = Cocos Islands<br />index_avg: 74.46333<br />index_trend: -0.12","color: Above avg score & Decreasing<br />rgn = Guinea<br />index_avg: 73.65417<br />index_trend: -0.13","color: Above avg score & Decreasing<br />rgn = Saudi Arabia<br />index_avg: 73.73750<br />index_trend: -0.14","color: Above avg score & Decreasing<br />rgn = Palmyra Atoll<br />index_avg: 84.07667<br />index_trend: -0.14","color: Above avg score & Decreasing<br />rgn = Tuvalu<br />index_avg: 79.09667<br />index_trend: -0.15","color: Above avg score & Decreasing<br />rgn = Honduras<br />index_avg: 71.29250<br />index_trend: -0.15","color: Above avg score & Decreasing<br />rgn = Canary Islands<br />index_avg: 71.95500<br />index_trend: -0.16","color: Above avg score & Decreasing<br />rgn = Howland Island and Baker Island<br />index_avg: 90.72583<br />index_trend: -0.16","color: Above avg score & Decreasing<br />rgn = New Zealand<br />index_avg: 83.41833<br />index_trend: -0.17","color: Above avg score & Decreasing<br />rgn = Tanzania<br />index_avg: 77.36500<br />index_trend: -0.17","color: Above avg score & Decreasing<br />rgn = Crozet Islands<br />index_avg: 71.70667<br />index_trend: -0.17","color: Above avg score & Decreasing<br />rgn = Kenya<br />index_avg: 73.71667<br />index_trend: -0.18","color: Above avg score & Decreasing<br />rgn = Comoro Islands<br />index_avg: 78.62917<br />index_trend: -0.19","color: Above avg score & Decreasing<br />rgn = Sao Tome and Principe<br />index_avg: 78.07583<br />index_trend: -0.21","color: Above avg score & Decreasing<br />rgn = Latvia<br />index_avg: 71.24000<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = Egypt<br />index_avg: 71.27000<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = Macquarie Island<br />index_avg: 92.49000<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = Jarvis Island<br />index_avg: 90.27333<br />index_trend: -0.23","color: Above avg score & Decreasing<br />rgn = United Kingdom<br />index_avg: 76.26417<br />index_trend: -0.24","color: Above avg score & Decreasing<br />rgn = Western Sahara<br />index_avg: 72.09667<br />index_trend: -0.25","color: Above avg score & Decreasing<br />rgn = United States<br />index_avg: 73.50583<br />index_trend: -0.28","color: Above avg score & Decreasing<br />rgn = Mauritania<br />index_avg: 72.78750<br />index_trend: -0.29","color: Above avg score & Decreasing<br />rgn = Liberia<br />index_avg: 74.10833<br />index_trend: -0.29","color: Above avg score & Decreasing<br />rgn = Cameroon<br />index_avg: 72.41583<br />index_trend: -0.29","color: Above avg score & Decreasing<br />rgn = Romania<br />index_avg: 71.21750<br />index_trend: -0.33","color: Above avg score & Decreasing<br />rgn = Senegal<br />index_avg: 74.40000<br />index_trend: -0.45","color: Above avg score & Decreasing<br />rgn = Phoenix Islands (Kiribati)<br />index_avg: 76.20333<br />index_trend: -0.45","color: Above avg score & Decreasing<br />rgn = Canada<br />index_avg: 73.71750<br />index_trend: -0.46","color: Above avg score & Decreasing<br />rgn = Sweden<br />index_avg: 75.97500<br />index_trend: -0.50","color: Above avg score & Decreasing<br />rgn = Ghana<br />index_avg: 72.01167<br />index_trend: -0.53","color: Above avg score & Decreasing<br />rgn = Cape Verde<br />index_avg: 72.41250<br />index_trend: -0.61","color: Above avg score & Decreasing<br />rgn = Thailand<br />index_avg: 71.82167<br />index_trend: -0.63","color: Above avg score & Decreasing<br />rgn = Palau<br />index_avg: 75.67667<br />index_trend: -0.68","color: Above avg score & Decreasing<br />rgn = Marshall Islands<br />index_avg: 71.34917<br />index_trend: -0.68","color: Above avg score & Decreasing<br />rgn = Trinidad and Tobago<br />index_avg: 71.82583<br />index_trend: -0.70"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(253,174,97,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(253,174,97,1)"}},"hoveron":"points","name":"Above avg score & Decreasing","legendgroup":"Above avg score & Decreasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[73.015000000000001,76.841666666666669,71.650833333333338,74.407499999999999,79.680000000000007,71.289166666666659,79.80416666666666,71.299166666666665,76.4375,77.92583333333333,73.482500000000002,83.314166666666665,73.183333333333337,74.245000000000005,74.872500000000002,79.150833333333338,71.75,76.228333333333325,79.57416666666667,77.489166666666662,71.93416666666667,73.802499999999995,74.509166666666673,84.063333333333333,77.326666666666668,77.480833333333337,72.885000000000005,79.106666666666669,79.980833333333337,75.605833333333337,76.522499999999994,71.62833333333333,71.245000000000005,71.987499999999997,83.290000000000006,80.661666666666662,76.685000000000002,74.709166666666661,80.959166666666661,75.607500000000002,76.405000000000001,72.344166666666666,72.295000000000002,73.69083333333333,74.874166666666667,75.750833333333333,71.75333333333333,76.027500000000003,77.915833333333339,71.427499999999995,74.537499999999994,73.560833333333335,82.813333333333333,88.281666666666666,75.548333333333332,74.070000000000007,74.74166666666666,71.50333333333333,78.201666666666668,79.406666666666666,71.941666666666663,73.656666666666666,81.607500000000002,72.441666666666663,75.898333333333341,74.605000000000004,73.099999999999994],"y":[0.01,1.1599999999999999,0.84999999999999998,0.81000000000000005,0.79000000000000004,0.75,0.68000000000000005,0.63,0.63,0.59999999999999998,0.57999999999999996,0.5,0.48999999999999999,0.48999999999999999,0.47999999999999998,0.46999999999999997,0.44,0.37,0.35999999999999999,0.34999999999999998,0.34000000000000002,0.34000000000000002,0.32000000000000001,0.31,0.31,0.31,0.28999999999999998,0.28000000000000003,0.28000000000000003,0.28000000000000003,0.27000000000000002,0.27000000000000002,0.26000000000000001,0.23999999999999999,0.23999999999999999,0.23999999999999999,0.23000000000000001,0.20999999999999999,0.20000000000000001,0.20000000000000001,0.19,0.17999999999999999,0.17000000000000001,0.16,0.14999999999999999,0.14000000000000001,0.14000000000000001,0.13,0.12,0.12,0.12,0.11,0.11,0.11,0.10000000000000001,0.10000000000000001,0.10000000000000001,0.10000000000000001,0.10000000000000001,0.089999999999999997,0.080000000000000002,0.059999999999999998,0.050000000000000003,0.040000000000000001,0.029999999999999999,0.01,-0],"text":["color: Above avg score & Increasing<br />rgn = Global average<br />index_avg: 73.01500<br />index_trend:  0.01","color: Above avg score & Increasing<br />rgn = Portugal<br />index_avg: 76.84167<br />index_trend:  1.16","color: Above avg score & Increasing<br />rgn = South Georgia and the South Sandwich Islands<br />index_avg: 71.65083<br />index_trend:  0.85","color: Above avg score & Increasing<br />rgn = Papua New Guinea<br />index_avg: 74.40750<br />index_trend:  0.81","color: Above avg score & Increasing<br />rgn = Qatar<br />index_avg: 79.68000<br />index_trend:  0.79","color: Above avg score & Increasing<br />rgn = South Korea<br />index_avg: 71.28917<br />index_trend:  0.75","color: Above avg score & Increasing<br />rgn = Clipperton Island<br />index_avg: 79.80417<br />index_trend:  0.68","color: Above avg score & Increasing<br />rgn = Belize<br />index_avg: 71.29917<br />index_trend:  0.63","color: Above avg score & Increasing<br />rgn = Aruba<br />index_avg: 76.43750<br />index_trend:  0.63","color: Above avg score & Increasing<br />rgn = Iraq<br />index_avg: 77.92583<br />index_trend:  0.60","color: Above avg score & Increasing<br />rgn = Bahamas<br />index_avg: 73.48250<br />index_trend:  0.58","color: Above avg score & Increasing<br />rgn = Mayotte<br />index_avg: 83.31417<br />index_trend:  0.50","color: Above avg score & Increasing<br />rgn = Turks and Caicos Islands<br />index_avg: 73.18333<br />index_trend:  0.49","color: Above avg score & Increasing<br />rgn = Spain<br />index_avg: 74.24500<br />index_trend:  0.49","color: Above avg score & Increasing<br />rgn = Antigua and Barbuda<br />index_avg: 74.87250<br />index_trend:  0.48","color: Above avg score & Increasing<br />rgn = Venezuela<br />index_avg: 79.15083<br />index_trend:  0.47","color: Above avg score & Increasing<br />rgn = Tokelau<br />index_avg: 71.75000<br />index_trend:  0.44","color: Above avg score & Increasing<br />rgn = Sint Eustatius<br />index_avg: 76.22833<br />index_trend:  0.37","color: Above avg score & Increasing<br />rgn = Russia<br />index_avg: 79.57417<br />index_trend:  0.36","color: Above avg score & Increasing<br />rgn = Chile<br />index_avg: 77.48917<br />index_trend:  0.35","color: Above avg score & Increasing<br />rgn = Bahrain<br />index_avg: 71.93417<br />index_trend:  0.34","color: Above avg score & Increasing<br />rgn = Ascension<br />index_avg: 73.80250<br />index_trend:  0.34","color: Above avg score & Increasing<br />rgn = Wallis and Futuna<br />index_avg: 74.50917<br />index_trend:  0.32","color: Above avg score & Increasing<br />rgn = Seychelles<br />index_avg: 84.06333<br />index_trend:  0.31","color: Above avg score & Increasing<br />rgn = Uruguay<br />index_avg: 77.32667<br />index_trend:  0.31","color: Above avg score & Increasing<br />rgn = Saba<br />index_avg: 77.48083<br />index_trend:  0.31","color: Above avg score & Increasing<br />rgn = Jordan<br />index_avg: 72.88500<br />index_trend:  0.29","color: Above avg score & Increasing<br />rgn = Madeira<br />index_avg: 79.10667<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Prince Edward Islands<br />index_avg: 79.98083<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Kerguelen Islands<br />index_avg: 75.60583<br />index_trend:  0.28","color: Above avg score & Increasing<br />rgn = Azores<br />index_avg: 76.52250<br />index_trend:  0.27","color: Above avg score & Increasing<br />rgn = Netherlands<br />index_avg: 71.62833<br />index_trend:  0.27","color: Above avg score & Increasing<br />rgn = Nicaragua<br />index_avg: 71.24500<br />index_trend:  0.26","color: Above avg score & Increasing<br />rgn = Kuwait<br />index_avg: 71.98750<br />index_trend:  0.24","color: Above avg score & Increasing<br />rgn = United Arab Emirates<br />index_avg: 83.29000<br />index_trend:  0.24","color: Above avg score & Increasing<br />rgn = Heard and McDonald Islands<br />index_avg: 80.66167<br />index_trend:  0.24","color: Above avg score & Increasing<br />rgn = Ecuador<br />index_avg: 76.68500<br />index_trend:  0.23","color: Above avg score & Increasing<br />rgn = Bangladesh<br />index_avg: 74.70917<br />index_trend:  0.21","color: Above avg score & Increasing<br />rgn = Oman<br />index_avg: 80.95917<br />index_trend:  0.20","color: Above avg score & Increasing<br />rgn = French Polynesia<br />index_avg: 75.60750<br />index_trend:  0.20","color: Above avg score & Increasing<br />rgn = Oecussi Ambeno<br />index_avg: 76.40500<br />index_trend:  0.19","color: Above avg score & Increasing<br />rgn = Myanmar<br />index_avg: 72.34417<br />index_trend:  0.18","color: Above avg score & Increasing<br />rgn = Mexico<br />index_avg: 72.29500<br />index_trend:  0.17","color: Above avg score & Increasing<br />rgn = Samoa<br />index_avg: 73.69083<br />index_trend:  0.16","color: Above avg score & Increasing<br />rgn = R_union<br />index_avg: 74.87417<br />index_trend:  0.15","color: Above avg score & Increasing<br />rgn = Norway<br />index_avg: 75.75083<br />index_trend:  0.14","color: Above avg score & Increasing<br />rgn = Jersey<br />index_avg: 71.75333<br />index_trend:  0.14","color: Above avg score & Increasing<br />rgn = Germany<br />index_avg: 76.02750<br />index_trend:  0.13","color: Above avg score & Increasing<br />rgn = Djibouti<br />index_avg: 77.91583<br />index_trend:  0.12","color: Above avg score & Increasing<br />rgn = Cuba<br />index_avg: 71.42750<br />index_trend:  0.12","color: Above avg score & Increasing<br />rgn = Bassas da India<br />index_avg: 74.53750<br />index_trend:  0.12","color: Above avg score & Increasing<br />rgn = Gambia<br />index_avg: 73.56083<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = Northern Saint-Martin<br />index_avg: 82.81333<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = Ile Europa<br />index_avg: 88.28167<br />index_trend:  0.11","color: Above avg score & Increasing<br />rgn = French Guiana<br />index_avg: 75.54833<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = France<br />index_avg: 74.07000<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = Ireland<br />index_avg: 74.74167<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = Iran<br />index_avg: 71.50333<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = Juan de Nova Island<br />index_avg: 78.20167<br />index_trend:  0.10","color: Above avg score & Increasing<br />rgn = Brazil<br />index_avg: 79.40667<br />index_trend:  0.09","color: Above avg score & Increasing<br />rgn = Turkey<br />index_avg: 71.94167<br />index_trend:  0.08","color: Above avg score & Increasing<br />rgn = Suriname<br />index_avg: 73.65667<br />index_trend:  0.06","color: Above avg score & Increasing<br />rgn = Greenland<br />index_avg: 81.60750<br />index_trend:  0.05","color: Above avg score & Increasing<br />rgn = Puerto Rico and Virgin Islands of the United States<br />index_avg: 72.44167<br />index_trend:  0.04","color: Above avg score & Increasing<br />rgn = British Indian Ocean Territory<br />index_avg: 75.89833<br />index_trend:  0.03","color: Above avg score & Increasing<br />rgn = Sint Maarten<br />index_avg: 74.60500<br />index_trend:  0.01","color: Above avg score & Increasing<br />rgn = Belgium<br />index_avg: 73.10000<br />index_trend:  0.00"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(49,54,149,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(49,54,149,1)"}},"hoveron":"points","name":"Above avg score & Increasing","legendgroup":"Above avg score & Increasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[69.472499999999997,68.165833333333339,63.337499999999999,62.280833333333334,65.902500000000003,65.722499999999997,70.489166666666662,68.332499999999996,65.661666666666662,64.010833333333338,63.816666666666663,63.305833333333332,61.965833333333336,66.480833333333337,66.000833333333333,64.536666666666662,56.366666666666667,58.975000000000001,67.665833333333339,61.618333333333332,68.334166666666661,68.682500000000005,67.075833333333335,65.950833333333335,69.593333333333334,66.156666666666666,63.360833333333332,66.548333333333332,63.008333333333333,61.955833333333331,61.896666666666668,64.057500000000005,68.366666666666674,66.766666666666666,67.441666666666663,61.552500000000002,63.629999999999995,65.739166666666662,70.482500000000002,56.465000000000003,56.697499999999998,67.118333333333339,66.612499999999997,63.057500000000005,66.618333333333339,70.416666666666671,58.104999999999997,64.165000000000006,59.998333333333335,65.484166666666667,69.215000000000003],"y":[-0.01,-0.02,-0.02,-0.040000000000000001,-0.059999999999999998,-0.059999999999999998,-0.080000000000000002,-0.089999999999999997,-0.10000000000000001,-0.14000000000000001,-0.14999999999999999,-0.14999999999999999,-0.16,-0.16,-0.17000000000000001,-0.17999999999999999,-0.19,-0.19,-0.20999999999999999,-0.22,-0.23000000000000001,-0.23000000000000001,-0.23000000000000001,-0.23999999999999999,-0.23999999999999999,-0.26000000000000001,-0.26000000000000001,-0.28999999999999998,-0.29999999999999999,-0.34999999999999998,-0.34999999999999998,-0.37,-0.38,-0.44,-0.45000000000000001,-0.45000000000000001,-0.46999999999999997,-0.48999999999999999,-0.5,-0.53000000000000003,-0.54000000000000004,-0.59999999999999998,-0.63,-0.73999999999999999,-0.78000000000000003,-0.81999999999999995,-0.83999999999999997,-0.91000000000000003,-0.92000000000000004,-1.03,-1.2],"text":["color: Below avg score & Decreasing<br />rgn = Taiwan<br />index_avg: 69.47250<br />index_trend: -0.01","color: Below avg score & Decreasing<br />rgn = Cook Islands<br />index_avg: 68.16583<br />index_trend: -0.02","color: Below avg score & Decreasing<br />rgn = Montenegro<br />index_avg: 63.33750<br />index_trend: -0.02","color: Below avg score & Decreasing<br />rgn = Guyana<br />index_avg: 62.28083<br />index_trend: -0.04","color: Below avg score & Decreasing<br />rgn = Wake Island<br />index_avg: 65.90250<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = Johnston Atoll<br />index_avg: 65.72250<br />index_trend: -0.06","color: Below avg score & Decreasing<br />rgn = Christmas Island<br />index_avg: 70.48917<br />index_trend: -0.08","color: Below avg score & Decreasing<br />rgn = Namibia<br />index_avg: 68.33250<br />index_trend: -0.09","color: Below avg score & Decreasing<br />rgn = Algeria<br />index_avg: 65.66167<br />index_trend: -0.10","color: Below avg score & Decreasing<br />rgn = Saint Vincent and the Grenadines<br />index_avg: 64.01083<br />index_trend: -0.14","color: Below avg score & Decreasing<br />rgn = Tunisia<br />index_avg: 63.81667<br />index_trend: -0.15","color: Below avg score & Decreasing<br />rgn = Equatorial Guinea<br />index_avg: 63.30583<br />index_trend: -0.15","color: Below avg score & Decreasing<br />rgn = Sudan<br />index_avg: 61.96583<br />index_trend: -0.16","color: Below avg score & Decreasing<br />rgn = Cyprus<br />index_avg: 66.48083<br />index_trend: -0.16","color: Below avg score & Decreasing<br />rgn = East Timor<br />index_avg: 66.00083<br />index_trend: -0.17","color: Below avg score & Decreasing<br />rgn = Northern Mariana Islands and Guam<br />index_avg: 64.53667<br />index_trend: -0.18","color: Below avg score & Decreasing<br />rgn = Syria<br />index_avg: 56.36667<br />index_trend: -0.19","color: Below avg score & Decreasing<br />rgn = Amsterdam Island and Saint Paul Island<br />index_avg: 58.97500<br />index_trend: -0.19","color: Below avg score & Decreasing<br />rgn = Vietnam<br />index_avg: 67.66583<br />index_trend: -0.21","color: Below avg score & Decreasing<br />rgn = British Virgin Islands<br />index_avg: 61.61833<br />index_trend: -0.22","color: Below avg score & Decreasing<br />rgn = Yemen<br />index_avg: 68.33417<br />index_trend: -0.23","color: Below avg score & Decreasing<br />rgn = Ukraine<br />index_avg: 68.68250<br />index_trend: -0.23","color: Below avg score & Decreasing<br />rgn = South Africa<br />index_avg: 67.07583<br />index_trend: -0.23","color: Below avg score & Decreasing<br />rgn = Grenada<br />index_avg: 65.95083<br />index_trend: -0.24","color: Below avg score & Decreasing<br />rgn = Lithuania<br />index_avg: 69.59333<br />index_trend: -0.24","color: Below avg score & Decreasing<br />rgn = Saint Helena<br />index_avg: 66.15667<br />index_trend: -0.26","color: Below avg score & Decreasing<br />rgn = India<br />index_avg: 63.36083<br />index_trend: -0.26","color: Below avg score & Decreasing<br />rgn = Dominica<br />index_avg: 66.54833<br />index_trend: -0.29","color: Below avg score & Decreasing<br />rgn = Niue<br />index_avg: 63.00833<br />index_trend: -0.30","color: Below avg score & Decreasing<br />rgn = Vanuatu<br />index_avg: 61.95583<br />index_trend: -0.35","color: Below avg score & Decreasing<br />rgn = Democratic Republic of the Congo<br />index_avg: 61.89667<br />index_trend: -0.35","color: Below avg score & Decreasing<br />rgn = Cayman Islands<br />index_avg: 64.05750<br />index_trend: -0.37","color: Below avg score & Decreasing<br />rgn = New Caledonia<br />index_avg: 68.36667<br />index_trend: -0.38","color: Below avg score & Decreasing<br />rgn = Angola<br />index_avg: 66.76667<br />index_trend: -0.44","color: Below avg score & Decreasing<br />rgn = Bulgaria<br />index_avg: 67.44167<br />index_trend: -0.45","color: Below avg score & Decreasing<br />rgn = Tristan da Cunha<br />index_avg: 61.55250<br />index_trend: -0.45","color: Below avg score & Decreasing<br />rgn = Gilbert Islands (Kiribati)<br />index_avg: 63.63000<br />index_trend: -0.47","color: Below avg score & Decreasing<br />rgn = Line Islands (Kiribati)<br />index_avg: 65.73917<br />index_trend: -0.49","color: Below avg score & Decreasing<br />rgn = Tonga<br />index_avg: 70.48250<br />index_trend: -0.50","color: Below avg score & Decreasing<br />rgn = Eritrea<br />index_avg: 56.46500<br />index_trend: -0.53","color: Below avg score & Decreasing<br />rgn = Ivory Coast<br />index_avg: 56.69750<br />index_trend: -0.54","color: Below avg score & Decreasing<br />rgn = Malaysia<br />index_avg: 67.11833<br />index_trend: -0.60","color: Below avg score & Decreasing<br />rgn = Togo<br />index_avg: 66.61250<br />index_trend: -0.63","color: Below avg score & Decreasing<br />rgn = Poland<br />index_avg: 63.05750<br />index_trend: -0.74","color: Below avg score & Decreasing<br />rgn = American Samoa<br />index_avg: 66.61833<br />index_trend: -0.78","color: Below avg score & Decreasing<br />rgn = Solomon Islands<br />index_avg: 70.41667<br />index_trend: -0.82","color: Below avg score & Decreasing<br />rgn = Republique du Congo<br />index_avg: 58.10500<br />index_trend: -0.84","color: Below avg score & Decreasing<br />rgn = Philippines<br />index_avg: 64.16500<br />index_trend: -0.91","color: Below avg score & Decreasing<br />rgn = Falkland Islands<br />index_avg: 59.99833<br />index_trend: -0.92","color: Below avg score & Decreasing<br />rgn = Sri Lanka<br />index_avg: 65.48417<br />index_trend: -1.03","color: Below avg score & Decreasing<br />rgn = Fiji<br />index_avg: 69.21500<br />index_trend: -1.20"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(165,0,38,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(165,0,38,1)"}},"hoveron":"points","name":"Below avg score & Decreasing","legendgroup":"Below avg score & Decreasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"x":[68.316666666666663,67.073333333333338,67.365833333333327,60.470833333333331,58.884166666666665,69.004166666666663,69.158333333333331,70.1875,56.699166666666663,66.166666666666671,62.153333333333336,68.990000000000009,66.915833333333339,67.338333333333338,67.435000000000002,66.872500000000002,66.664166666666659,66.748333333333335,66.520833333333329,65.957499999999996,66.689999999999998,61.182499999999997,68.716666666666669,62.185833333333335,69.316666666666663,61.467500000000001,69.703333333333333,63.840833333333336,69.400000000000006,67.0625,70.650833333333338,68.958333333333329,70.00333333333333,70.409999999999997,69.719999999999999,67.798333333333332,65.910833333333329,70.132499999999993,69.743333333333325,69.759999999999991,70.443333333333328,67.640000000000001,70.985833333333332,69.620833333333337,69.728333333333339,66.676666666666662,57.415833333333332,69.536666666666662,70.771666666666661,65.604166666666671,69.685833333333335,68.600833333333341,65.896666666666661,66.795000000000002,69.785833333333329,68.669166666666669],"y":[1.1499999999999999,1.02,0.78000000000000003,0.67000000000000004,0.67000000000000004,0.66000000000000003,0.65000000000000002,0.65000000000000002,0.62,0.60999999999999999,0.58999999999999997,0.57999999999999996,0.56000000000000005,0.52000000000000002,0.52000000000000002,0.45000000000000001,0.44,0.42999999999999999,0.41999999999999998,0.40999999999999998,0.40999999999999998,0.40000000000000002,0.38,0.34999999999999998,0.34999999999999998,0.34000000000000002,0.34000000000000002,0.32000000000000001,0.31,0.29999999999999999,0.29999999999999999,0.29999999999999999,0.28999999999999998,0.28999999999999998,0.23999999999999999,0.23000000000000001,0.22,0.20999999999999999,0.20000000000000001,0.19,0.13,0.12,0.12,0.11,0.10000000000000001,0.089999999999999997,0.070000000000000007,0.059999999999999998,0.059999999999999998,0.059999999999999998,0.040000000000000001,0.029999999999999999,0.02,0.01,0,0],"text":["color: Below avg score & Increasing<br />rgn = Pitcairn<br />index_avg: 68.31667<br />index_trend:  1.15","color: Below avg score & Increasing<br />rgn = Jamaica<br />index_avg: 67.07333<br />index_trend:  1.02","color: Below avg score & Increasing<br />rgn = Haiti<br />index_avg: 67.36583<br />index_trend:  0.78","color: Below avg score & Increasing<br />rgn = Saint Lucia<br />index_avg: 60.47083<br />index_trend:  0.67","color: Below avg score & Increasing<br />rgn = Croatia<br />index_avg: 58.88417<br />index_trend:  0.67","color: Below avg score & Increasing<br />rgn = Japan<br />index_avg: 69.00417<br />index_trend:  0.66","color: Below avg score & Increasing<br />rgn = Norfolk Island<br />index_avg: 69.15833<br />index_trend:  0.65","color: Below avg score & Increasing<br />rgn = Malta<br />index_avg: 70.18750<br />index_trend:  0.65","color: Below avg score & Increasing<br />rgn = Lebanon<br />index_avg: 56.69917<br />index_trend:  0.62","color: Below avg score & Increasing<br />rgn = Bermuda<br />index_avg: 66.16667<br />index_trend:  0.61","color: Below avg score & Increasing<br />rgn = North Korea<br />index_avg: 62.15333<br />index_trend:  0.59","color: Below avg score & Increasing<br />rgn = Anguilla<br />index_avg: 68.99000<br />index_trend:  0.58","color: Below avg score & Increasing<br />rgn = Glorioso Islands<br />index_avg: 66.91583<br />index_trend:  0.56","color: Below avg score & Increasing<br />rgn = Albania<br />index_avg: 67.33833<br />index_trend:  0.52","color: Below avg score & Increasing<br />rgn = Argentina<br />index_avg: 67.43500<br />index_trend:  0.52","color: Below avg score & Increasing<br />rgn = Georgia<br />index_avg: 66.87250<br />index_trend:  0.45","color: Below avg score & Increasing<br />rgn = Saint Kitts and Nevis<br />index_avg: 66.66417<br />index_trend:  0.44","color: Below avg score & Increasing<br />rgn = Monaco<br />index_avg: 66.74833<br />index_trend:  0.43","color: Below avg score & Increasing<br />rgn = Slovenia<br />index_avg: 66.52083<br />index_trend:  0.42","color: Below avg score & Increasing<br />rgn = Pakistan<br />index_avg: 65.95750<br />index_trend:  0.41","color: Below avg score & Increasing<br />rgn = Singapore<br />index_avg: 66.69000<br />index_trend:  0.41","color: Below avg score & Increasing<br />rgn = Barbados<br />index_avg: 61.18250<br />index_trend:  0.40","color: Below avg score & Increasing<br />rgn = Maldives<br />index_avg: 68.71667<br />index_trend:  0.38","color: Below avg score & Increasing<br />rgn = China<br />index_avg: 62.18583<br />index_trend:  0.35","color: Below avg score & Increasing<br />rgn = Indonesia<br />index_avg: 69.31667<br />index_trend:  0.35","color: Below avg score & Increasing<br />rgn = Gibraltar<br />index_avg: 61.46750<br />index_trend:  0.34","color: Below avg score & Increasing<br />rgn = Bonaire<br />index_avg: 69.70333<br />index_trend:  0.34","color: Below avg score & Increasing<br />rgn = Libya<br />index_avg: 63.84083<br />index_trend:  0.32","color: Below avg score & Increasing<br />rgn = Madagascar<br />index_avg: 69.40000<br />index_trend:  0.31","color: Below avg score & Increasing<br />rgn = Israel<br />index_avg: 67.06250<br />index_trend:  0.30","color: Below avg score & Increasing<br />rgn = Guatemala<br />index_avg: 70.65083<br />index_trend:  0.30","color: Below avg score & Increasing<br />rgn = Bosnia and Herzegovina<br />index_avg: 68.95833<br />index_trend:  0.30","color: Below avg score & Increasing<br />rgn = Costa Rica<br />index_avg: 70.00333<br />index_trend:  0.29","color: Below avg score & Increasing<br />rgn = Bouvet Island<br />index_avg: 70.41000<br />index_trend:  0.29","color: Below avg score & Increasing<br />rgn = Italy<br />index_avg: 69.72000<br />index_trend:  0.24","color: Below avg score & Increasing<br />rgn = Nauru<br />index_avg: 67.79833<br />index_trend:  0.23","color: Below avg score & Increasing<br />rgn = El Salvador<br />index_avg: 65.91083<br />index_trend:  0.22","color: Below avg score & Increasing<br />rgn = Peru<br />index_avg: 70.13250<br />index_trend:  0.21","color: Below avg score & Increasing<br />rgn = Dominican Republic<br />index_avg: 69.74333<br />index_trend:  0.20","color: Below avg score & Increasing<br />rgn = Jan Mayen<br />index_avg: 69.76000<br />index_trend:  0.19","color: Below avg score & Increasing<br />rgn = Montserrat<br />index_avg: 70.44333<br />index_trend:  0.13","color: Below avg score & Increasing<br />rgn = Denmark<br />index_avg: 67.64000<br />index_trend:  0.12","color: Below avg score & Increasing<br />rgn = Gabon<br />index_avg: 70.98583<br />index_trend:  0.12","color: Below avg score & Increasing<br />rgn = Somalia<br />index_avg: 69.62083<br />index_trend:  0.11","color: Below avg score & Increasing<br />rgn = Greece<br />index_avg: 69.72833<br />index_trend:  0.10","color: Below avg score & Increasing<br />rgn = Curacao<br />index_avg: 66.67667<br />index_trend:  0.09","color: Below avg score & Increasing<br />rgn = Brunei<br />index_avg: 57.41583<br />index_trend:  0.07","color: Below avg score & Increasing<br />rgn = Micronesia<br />index_avg: 69.53667<br />index_trend:  0.06","color: Below avg score & Increasing<br />rgn = Mauritius<br />index_avg: 70.77167<br />index_trend:  0.06","color: Below avg score & Increasing<br />rgn = Guernsey<br />index_avg: 65.60417<br />index_trend:  0.06","color: Below avg score & Increasing<br />rgn = Colombia<br />index_avg: 69.68583<br />index_trend:  0.04","color: Below avg score & Increasing<br />rgn = Cambodia<br />index_avg: 68.60083<br />index_trend:  0.03","color: Below avg score & Increasing<br />rgn = Faeroe Islands<br />index_avg: 65.89667<br />index_trend:  0.02","color: Below avg score & Increasing<br />rgn = Nigeria<br />index_avg: 66.79500<br />index_trend:  0.01","color: Below avg score & Increasing<br />rgn = Morocco<br />index_avg: 69.78583<br />index_trend:  0.00","color: Below avg score & Increasing<br />rgn = Benin<br />index_avg: 68.66917<br />index_trend:  0.00"],"type":"scatter","mode":"markers","marker":{"autocolorscale":false,"color":"rgba(116,173,209,1)","opacity":0.80000000000000004,"size":7.559055118110237,"symbol":"circle","line":{"width":1.8897637795275593,"color":"rgba(116,173,209,1)"}},"hoveron":"points","name":"Below avg score & Increasing","legendgroup":"Below avg score & Increasing","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","frame":null},{"colour":{},"text":["Average OHI index score","Average OHI index score"],"x":[71.072666666666663,71.072666666666663],"y":[-1.3,1.26],"type":"scatter","mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":["text","text"],"showlegend":false,"marker":{"color":"rgba(31,119,180,1)","line":{"color":"rgba(31,119,180,1)"}},"error_y":{"color":"rgba(31,119,180,1)"},"error_x":{"color":"rgba(31,119,180,1)"},"xaxis":"x","yaxis":"y","frame":null},{"colour":{},"text":["No change on average","No change on average"],"x":[54.366666666666667,94.489999999999995],"y":[0,0],"type":"scatter","mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":["text","text"],"showlegend":false,"marker":{"color":"rgba(255,127,14,1)","line":{"color":"rgba(255,127,14,1)"}},"error_y":{"color":"rgba(255,127,14,1)"},"error_x":{"color":"rgba(255,127,14,1)"},"xaxis":"x","yaxis":"y","frame":null}],"layout":{"margin":{"t":44.493150684931507,"r":7.3059360730593621,"b":40.913242009132432,"l":48.949771689497723},"plot_bgcolor":"rgba(255,255,255,1)","paper_bgcolor":"rgba(255,255,255,1)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724},"title":{"text":"Index scores","font":{"color":"rgba(0,0,0,1)","family":"","size":17.534246575342465},"x":0,"xref":"paper"},"xaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[54.560499999999998,94.296166666666664],"tickmode":"array","ticktext":["60","70","80","90"],"tickvals":[60,70,80,90],"categoryorder":"array","categoryarray":["60","70","80","90"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.689497716894984},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(235,235,235,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"y","title":{"text":"Average (2012 to 2023 scores)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"yaxis":{"domain":[0,1],"automargin":true,"type":"linear","autorange":false,"range":[-1.3180000000000001,1.278],"tickmode":"array","ticktext":["-1.0","-0.5","0.0","0.5","1.0"],"tickvals":[-1,-0.5,-2.2204460492503131e-16,0.50000000000000022,1],"categoryorder":"array","categoryarray":["-1.0","-0.5","0.0","0.5","1.0"],"nticks":null,"ticks":"outside","tickcolor":"rgba(51,51,51,1)","ticklen":3.6529680365296811,"tickwidth":0.66417600664176002,"showticklabels":true,"tickfont":{"color":"rgba(77,77,77,1)","family":"","size":11.68949771689498},"tickangle":-0,"showline":false,"linecolor":null,"linewidth":0,"showgrid":true,"gridcolor":"rgba(235,235,235,1)","gridwidth":0.66417600664176002,"zeroline":false,"anchor":"x","title":{"text":"Trend (change in score per year)","font":{"color":"rgba(0,0,0,1)","family":"","size":14.611872146118724}},"hoverformat":".2f"},"shapes":[{"type":"rect","fillcolor":"transparent","line":{"color":"rgba(51,51,51,1)","width":0.66417600664176002,"linetype":"solid"},"yref":"paper","xref":"paper","x0":0,"x1":1,"y0":0,"y1":1}],"showlegend":false,"legend":{"bgcolor":"rgba(255,255,255,1)","bordercolor":"transparent","borderwidth":1.8897637795275593,"font":{"color":"rgba(0,0,0,1)","family":"","size":11.689497716894984}},"hovermode":"closest","barmode":"relative"},"config":{"doubleClick":"reset","showSendToCloud":false},"source":"A","attrs":{"1e89471cd773df":{"colour":{},"text":{},"x":{},"y":{},"type":"scatter"},"1e89471cd773df.1":{"colour":{},"text":"Average OHI index score","x":71.072666666666663,"y":-1.3,"type":"scatter","xend":71.072666666666663,"yend":1.26,"mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":"text","showlegend":false,"inherit":true},"1e89471cd773df.2":{"colour":{},"text":"No change on average","x":54.366666666666667,"y":0,"type":"scatter","xend":94.489999999999995,"yend":0,"mode":"lines","line":{"color":"red","width":1.5,"dash":"dot"},"hoverinfo":"text","showlegend":false,"inherit":true}},"cur_data":"1e89471cd773df","visdat":{"1e89471cd773df":["function (y) ","x"]},"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.20000000000000001,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script>
 </div>
 </div>
 
diff --git a/content/news/2023-scores.md b/content/news/2023-scores.md
index aa42550ac..378857664 100644
--- a/content/news/2023-scores.md
+++ b/content/news/2023-scores.md
@@ -22,7 +22,7 @@ We are proud to announce our 12th year of measuring the state of the world's oce
 
 As usual, the 2023 assessment includes a new year of data, calculated using the most recent data available from agencies and other sources. Given our commitment to using the best available science, we also updated previous years' scores (2012-2023) using the latest science and data when available. The data and code underlying these results are publicly available ([Data preparation](https://github.com/OHI-Science/ohiprep_v2023) and [Score calculation](https://github.com/OHI-Science/ohi-global/releases)).
 
-This year's assessment was led by the OHI fellows Erika Egg, Carlo Broderick, and Adelaide Robinson, and NCEAS scientists Gage Clawson, Melanie Frazier, and Ben Halpern.
+This year's assessment was led by the OHI fellows Erika Egg, Carlo Broderick, and Adelaide Robinson, and supported by NCEAS scientists Gage Clawson, Melanie Frazier, and Ben Halpern.
 
 ## Overview of Results